From a4146cbd8dbfdc997d7cf9ea5cb2adf08aef5f57 Mon Sep 17 00:00:00 2001 From: wangwl Date: Tue, 16 Dec 2025 02:00:31 +0000 Subject: [PATCH 1/3] add Twins --- .../Classification/Twins/Twins/LICENSE | 201 ++ .../Classification/Twins/Twins/README.md | 168 + .../Classification/Twins/Twins/datasets.py | 114 + .../configs/_base_/datasets/coco_detection.py | 48 + .../configs/_base_/datasets/coco_instance.py | 48 + .../configs/_base_/default_runtime.py | 16 + .../configs/_base_/schedules/schedule_1x.py | 11 + .../configs/_base_/schedules/schedule_20e.py | 11 + .../configs/_base_/schedules/schedule_2x.py | 11 + ..._rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py | 10 + ...rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py | 11 + ..._rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py | 11 + ...rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py | 10 + ..._rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py | 11 + ...rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py | 10 + ...sk_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py | 9 + ...k_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py | 10 + ...sk_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py | 10 + ...sk_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py | 27 + ...k_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py | 71 + ...nanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py | 11 + .../retinanet_alt_gvt_b_fpn_3x_ms_coco.py | 11 + ...nanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py | 11 + .../retinanet_alt_gvt_l_fpn_3x_ms_coco.py | 14 + ...nanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py | 11 + .../retinanet_alt_gvt_s_fpn_3x_ms_coco.py | 11 + ...tinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py | 11 + .../retinanet_pcpvt_b_fpn_3x_ms_coco.py | 10 + ...tinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py | 10 + ...tinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py | 28 + .../retinanet_pcpvt_s_fpn_3x_ms_coco.py | 71 + .../Twins/Twins/detection/dist_test.sh | 10 + .../Twins/Twins/detection/dist_train.sh | 9 + .../Twins/Twins/detection/gvt.py | 534 +++ .../Twins/Twins/detection/test.py | 213 ++ .../Twins/Twins/detection/train.py | 187 + .../Classification/Twins/Twins/engine.py | 96 + .../Classification/Twins/Twins/gvt.py | 496 +++ .../Classification/Twins/Twins/logger.py | 40 + .../Twins/Twins/logs/pcpvt_b.txt | 300 ++ .../Twins/Twins/logs/pcpvt_l.txt | 296 ++ .../Twins/Twins/logs/pcpvt_s.txt | 300 ++ .../Classification/Twins/Twins/logs/svt_b.txt | 300 ++ .../Classification/Twins/Twins/logs/svt_l.txt | 300 ++ .../Classification/Twins/Twins/logs/svt_s.txt | 300 ++ .../Twins/Twins/logs/upernet_pcpvt_b.txt | 3201 +++++++++++++++++ .../Twins/Twins/logs/upernet_pcpvt_l.txt | 3201 +++++++++++++++++ .../Twins/Twins/logs/upernet_pcpvt_s.txt | 3201 +++++++++++++++++ .../Twins/Twins/logs/upernet_svt_b.txt | 3201 +++++++++++++++++ .../Twins/Twins/logs/upernet_svt_l.txt | 3201 +++++++++++++++++ .../Twins/Twins/logs/upernet_svt_s.txt | 3201 +++++++++++++++++ .../Classification/Twins/Twins/losses.py | 64 + .../Classification/Twins/Twins/main.py | 384 ++ .../Twins/Twins/mcloader/__init__.py | 2 + .../Twins/Twins/mcloader/classification.py | 31 + .../Twins/Twins/mcloader/data_prefetcher.py | 28 + .../Twins/Twins/mcloader/image_list.py | 44 + .../Twins/Twins/mcloader/imagenet.py | 8 + .../Twins/Twins/mcloader/mcloader.py | 36 + .../Twins/Twins/requirements.txt | 4 + .../Classification/Twins/Twins/samplers.py | 60 + .../configs/_base_/datasets/ade20k.py | 54 + .../configs/_base_/datasets/chase_db1.py | 59 + .../configs/_base_/datasets/drive.py | 59 + .../configs/_base_/datasets/hrf.py | 59 + .../configs/_base_/datasets/pascal_context.py | 60 + .../configs/_base_/datasets/pascal_voc12.py | 57 + .../_base_/datasets/pascal_voc12_aug.py | 9 + .../configs/_base_/datasets/stare.py | 59 + .../configs/_base_/default_runtime.py | 16 + .../configs/_base_/schedules/schedule_160k.py | 9 + .../configs/_base_/schedules/schedule_20k.py | 9 + .../configs/_base_/schedules/schedule_40k.py | 9 + .../configs/_base_/schedules/schedule_80k.py | 9 + .../fpn_alt_gvt_b_512x512_80k_ade20k.py | 23 + .../fpn_alt_gvt_l_512x512_80k_ade20k.py | 21 + .../fpn_alt_gvt_s_512x512_80k_ade20k.py | 21 + .../configs/fpn_pcpvt_b_512x512_80k_ade20k.py | 23 + .../configs/fpn_pcpvt_l_512x512_80k_ade20k.py | 21 + .../configs/fpn_pcpvt_s_512x512_80k_ade20k.py | 21 + ..._gvt_b_512x512_160k_ade20k_swin_setting.py | 28 + ..._gvt_l_512x512_160k_ade20k_swin_setting.py | 28 + ..._gvt_s_512x512_160k_ade20k_swin_setting.py | 27 + ...cpvt_b_512x512_160k_ade20k_swin_setting.py | 26 + ...cpvt_l_512x512_160k_ade20k_swin_setting.py | 26 + ...cpvt_s_512x512_160k_ade20k_swin_setting.py | 23 + .../Twins/Twins/segmentation/dist_test.sh | 9 + .../Twins/Twins/segmentation/dist_train.sh | 9 + .../Twins/Twins/segmentation/gvt.py | 599 +++ .../Twins/Twins/segmentation/test.py | 154 + .../Twins/Twins/segmentation/train.py | 163 + .../Twins/Twins/twins_svt_s.png | Bin 0 -> 400291 bytes .../Classification/Twins/Twins/utils.py | 238 ++ .../Classification/Twins/coverage.txt | 3 + .../build-in/Classification/Twins/pcpvt.py | 513 +++ .../Classification/Twins/pcpvt_loss.jpg | Bin 0 -> 38578 bytes .../Classification/Twins/pcpvt_loss.txt | 29 + PyTorch/build-in/Classification/Twins/run | 1 + .../Classification/Twins/weloTrainStep.py | 647 ++++ 99 files changed, 27386 insertions(+) create mode 100644 PyTorch/build-in/Classification/Twins/Twins/LICENSE create mode 100644 PyTorch/build-in/Classification/Twins/Twins/README.md create mode 100644 PyTorch/build-in/Classification/Twins/Twins/datasets.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/test.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/train.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/engine.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/gvt.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logger.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/losses.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/main.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/requirements.txt create mode 100644 PyTorch/build-in/Classification/Twins/Twins/samplers.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py create mode 100644 PyTorch/build-in/Classification/Twins/Twins/twins_svt_s.png create mode 100644 PyTorch/build-in/Classification/Twins/Twins/utils.py create mode 100644 PyTorch/build-in/Classification/Twins/coverage.txt create mode 100644 PyTorch/build-in/Classification/Twins/pcpvt.py create mode 100644 PyTorch/build-in/Classification/Twins/pcpvt_loss.jpg create mode 100644 PyTorch/build-in/Classification/Twins/pcpvt_loss.txt create mode 100644 PyTorch/build-in/Classification/Twins/run create mode 100644 PyTorch/build-in/Classification/Twins/weloTrainStep.py diff --git a/PyTorch/build-in/Classification/Twins/Twins/LICENSE b/PyTorch/build-in/Classification/Twins/Twins/LICENSE new file mode 100644 index 000000000..b1395e94b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2020 - present, Facebook, Inc + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/PyTorch/build-in/Classification/Twins/Twins/README.md b/PyTorch/build-in/Classification/Twins/Twins/README.md new file mode 100644 index 000000000..9aaeadd75 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/README.md @@ -0,0 +1,168 @@ +# [NeurIPS 2021] Twins: Revisiting the Design of Spatial Attention in Vision Transformers + +[![NeurIPS](https://img.shields.io/badge/NeurIPS2021-5kTlVBkzSRx-%238c1b13)](https://openreview.net/forum?id=5kTlVBkzSRx) + +Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their success in these tasks. In this work, we revisit the design of the spatial attention and demonstrate that a carefully-devised yet simple spatial attention mechanism performs favourably against the state-of-the-art schemes. As a result, we propose two vision transformer architectures, namely, Twins- PCPVT and Twins-SVT. Our proposed architectures are highly-efficient and easy to implement, only involving matrix multiplications that are highly optimized in modern deep learning frameworks. More importantly, the proposed architectures achieve excellent performance on a wide range of visual tasks including image- level classification as well as dense detection and segmentation. The simplicity and strong performance suggest that our proposed architectures may serve as stronger backbones for many vision tasks. + +![Twins-SVT-S](twins_svt_s.png) +Figure 1. Twins-SVT-S Architecture (Right side shows the inside of two consecutive Transformer Encoders). + + +# Usage + +First, clone the repository locally: +``` +git clone https://github.com/Meituan-AutoML/Twins.git +``` +Then, install PyTorch 1.7.0+ and torchvision 0.8.1+ and [pytorch-image-models==0.3.2](https://github.com/rwightman/pytorch-image-models): + +``` +conda install -c pytorch pytorch torchvision +pip install timm==0.3.2 +``` +## Data preparation + +Download and extract ImageNet train and val images from http://image-net.org/. +The directory structure is the standard layout for the torchvision [`datasets.ImageFolder`](https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder), and the training and validation data is expected to be in the `train/` folder and `val` folder respectively: + +``` +/path/to/imagenet/ + train/ + class1/ + img1.jpeg + class2/ + img2.jpeg + val/ + class1/ + img3.jpeg + class/2 + img4.jpeg +``` +## Model Zoo + +### Image Classification + +We provide a series of Twins models pretrained on ILSVRC2012 ImageNet-1K dataset. + +| Model | Alias in the paper | Acc@1 | FLOPs(G)|#Params (M) | URL | Log | +| --- | --- | --- | --- | --- |--- |---| +| PCPVT-Small| Twins-PCPVT-S | 81.2 | 3.7 | 24.1 | [pcpvt_small.pth](https://drive.google.com/file/d/1TWIx_8M-4y6UOKtbCgm1v-UVQ-_lYe6X/view?usp=sharing) | [pcpvt_s.txt](/logs/pcpvt_s.txt) +| PCPVT-Base | Twins-PCPVT-B | 82.7 | 6.4 | 43.8 | [pcpvt_base.pth](https://drive.google.com/file/d/1BsD3ZRivvPsHoZB1AX-tbirFLtCln8ky/view?usp=sharing) | [pcpvt_b.txt](/logs/pcpvt_b.txt) +| PCPVT-Large| Twins-PCPVT-L | 83.1 | 9.5 | 60.9 | [pcpvt_large.pth](https://drive.google.com/file/d/17xZXOWEcSGs0quBmMEkBYCxjPRYH-L45/view?usp=sharing) | [pcpvt_l.txt](/logs/pcpvt_l.txt) +| ALTGVT-Small | Twins-SVT-S | 81.7 | 2.8 | 24 | [alt_gvt_small.pth](https://drive.google.com/file/d/131SVOphM_-SaBytf4kWjo3ony5hpOt4S/view?usp=sharing) |[svt_s.txt](/logs/svt_s.txt) +| ALTGVT-Base | Twins-SVT-B | 83.2 | 8.3 | 56 | [alt_gvt_base.pth](https://drive.google.com/file/d/1s83To8xgDWY6Ad8VBP3Nx9gqY709rrGu/view?usp=sharing)|[svt_b.txt](/logs/svt_b.txt) +| ALTGVT-Large | Twins-SVT-L | 83.7 | 14.8 | 99.2 | [alt_gvt_large.pth](https://drive.google.com/file/d/1um39wxIaicmOquP2fr_SiZdxNCUou8w-/view?usp=sharing)|[svt_l.txt](/logs/svt_l.txt) + +#### Training + +To train Twins-SVT-B on ImageNet using 8 gpus for 300 epochs, run + +```python +python -m torch.distributed.launch --nproc_per_node=8 --use_env main.py --model alt_gvt_base --batch-size 128 --data-path path_to_imagenet --dist-eval --drop-path 0.3 +``` + +#### Evaluation + +To evaluate the performance of Twins-SVT-L on ImageNet using one GPU, run + +```python +python main.py --eval --resume alt_gvt_large.pth --model alt_gvt_large --data-path path_to_imagenet +``` + +This should give + +``` +* Acc@1 83.660 Acc@5 96.512 loss 0.722 +Accuracy of the network on the 50000 test images: 83.7% +``` +### Semantic Segmentation + +Our code is based on [mmsegmentation](https://github.com/open-mmlab/mmsegmentation). Please install mmsegmentation first. + +We provide a series of Twins models and training logs trained on the Ade20k dataset. It's easy to extend it to +other datasets and segmentation methods. + +| Model | Alias in the paper | mIoU(ss/ms) | FLOPs(G)|#Params (M) | URL | Log | +| --- | --- | --- | --- | --- |--- |---| +| PCPVT-Small| Twins-PCPVT-S | 46.2/47.5 | 234 | 54.6 | [pcpvt_small.pth](https://drive.google.com/file/d/1PkkBULZZUhIkFKq_D9db1DXUIHwIPlvp/view?usp=sharing) | [pcpvt_s.txt](/logs/upernet_pcpvt_s.txt) +| PCPVT-Base | Twins-PCPVT-B | 47.1/48.4 | 250 | 74.3 | [pcpvt_base.pth](https://drive.google.com/file/d/16sCd0slLLz6xt3C2ma3TkS9rpMS9eezT/view?usp=sharing) | [pcpvt_b.txt](/logs/upernet_pcpvt_b.txt) +| PCPVT-Large| Twins-PCPVT-L | 48.6/49.8 | 269 | 91.5 | [pcpvt_large.pth](https://drive.google.com/file/d/1wsU9riWBiN22fyfsJCHDFhLyP2c_n8sk/view?usp=sharing) | [pcpvt_l.txt](/logs/upernet_pcpvt_l.txt) +| ALTGVT-Small | Twins-SVT-S | 46.2/47.1 | 228 | 54.4 | [alt_gvt_small.pth](https://drive.google.com/file/d/18OhG0sbAJ5okPj0zn-8YTydKG9jS8TUx/view?usp=sharing) |[svt_s.txt](/logs/upernet_svt_s.txt) +| ALTGVT-Base | Twins-SVT-B | 47.4/48.9 | 261 | 88.5 | [alt_gvt_base.pth](https://drive.google.com/file/d/1LNtdvACihmKO6XyBPoJDxbrd6AuHVVvq/view?usp=sharing)|[svt_b.txt](/logs/upernet_svt_b.txt) +| ALTGVT-Large | Twins-SVT-L | 48.8/50.2 | 297 | 133 | [alt_gvt_large.pth](https://drive.google.com/file/d/1xS91hytfzuMZ5Rgb-W-cOJ9G7ptjVwlO/view?usp=sharing)|[svt_l.txt](/logs/upernet_svt_l.txt) + +#### Training +To train Twins-PCPVT-Large on Ade20k using 8 gpus for 160k iterations with a global batch size of 16, run + +```bash + bash dist_train.sh configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py 8 +``` + +#### Evaluation +To evaluate Twins-PCPVT-Large on Ade20k using 8 gpus (single scale), run +```bash +bash dist_test.sh configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py checkpoint_file 8 --eval mIoU +``` +To evaluate Twins-PCPVT-Large on Ade20k using 8 gpus (multi scale), run +```bash +bash dist_test.sh configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py checkpoint_file 8 --eval mIoU --aug-test +``` + +### Detection +Our code is based on [mmdetection](https://github.com/open-mmlab/mmdetection). Please install [mmdetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/get_started.md) first (we use v2.8.0). +We use both Mask R-CNN and RetinaNet to evaluate our method. It's easy to apply Twins in other detectors provided by mmdetection based on our examples. + +#### Training +To train Twins-SVT-Small on COCO with 8 gpus for 1x schedule (PVT setting) under the framework of Mask R-CNN, run + +```bash + bash dist_train.sh configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py 8 +``` + +To train Twins-SVT-Small on COCO with 8 gpus for 3x schedule (Swin setting) under the framework of Mask R-CNN, run + +```bash + bash dist_train.sh configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py 8 +``` + +#### Evaluation + +To evaluate the mAP of Twins-SVT-Small on COCO using 8 gpus based on the Retina framework, run +```bash +bash dist_test.sh configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py checkpoint_file 8 --eval mAP + +``` + +## Citation +If you find this project useful in your research, please consider cite the following, + +Twins: + +``` +@inproceedings{chu2021Twins, + title={Twins: Revisiting the Design of Spatial Attention in Vision Transformers}, + author={Xiangxiang Chu and Zhi Tian and Yuqing Wang and Bo Zhang and Haibing Ren and Xiaolin Wei and Huaxia Xia and Chunhua Shen}, + booktitle={NeurIPS 2021}, + url={https://openreview.net/forum?id=5kTlVBkzSRx}, + year={2021} +} +``` +CPVT: +``` +@inproceedings{chu2023CPVT, + title={Conditional Positional Encodings for Vision Transformers}, + author={Xiangxiang Chu and Zhi Tian and Bo Zhang and Xinlong Wang and Chunhua Shen}, + booktitle={ICLR 2023}, + url={https://openreview.net/forum?id=3KWnuT-R1bh}, + year={2023} +} +``` + +## Acknowledgement + +We heavily borrow the code from [DeiT](https://github.com/facebookresearch/deit) and [PVT](https://github.com/whai362/PVT). +We test throughputs as in [Swin Transformer](https://github.com/microsoft/Swin-Transformer). + +## License +This repository is released under the Apache 2.0 license as found in the [LICENSE](LICENSE) file. + diff --git a/PyTorch/build-in/Classification/Twins/Twins/datasets.py b/PyTorch/build-in/Classification/Twins/Twins/datasets.py new file mode 100644 index 000000000..3ad52dd05 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/datasets.py @@ -0,0 +1,114 @@ +import os +import json + +from torchvision import datasets, transforms +from torchvision.datasets.folder import ImageFolder, default_loader + +from timm.data.constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD +from timm.data import create_transform +from mcloader import ClassificationDataset + + +class INatDataset(ImageFolder): + def __init__(self, root, train=True, year=2018, transform=None, target_transform=None, + category='name', loader=default_loader): + self.transform = transform + self.loader = loader + self.target_transform = target_transform + self.year = year + # assert category in ['kingdom','phylum','class','order','supercategory','family','genus','name'] + path_json = os.path.join(root, f'{"train" if train else "val"}{year}.json') + with open(path_json) as json_file: + data = json.load(json_file) + + with open(os.path.join(root, 'categories.json')) as json_file: + data_catg = json.load(json_file) + + path_json_for_targeter = os.path.join(root, f"train{year}.json") + + with open(path_json_for_targeter) as json_file: + data_for_targeter = json.load(json_file) + + targeter = {} + indexer = 0 + for elem in data_for_targeter['annotations']: + king = [] + king.append(data_catg[int(elem['category_id'])][category]) + if king[0] not in targeter.keys(): + targeter[king[0]] = indexer + indexer += 1 + self.nb_classes = len(targeter) + + self.samples = [] + for elem in data['images']: + cut = elem['file_name'].split('/') + target_current = int(cut[2]) + path_current = os.path.join(root, cut[0], cut[2], cut[3]) + + categors = data_catg[target_current] + target_current_true = targeter[categors[category]] + self.samples.append((path_current, target_current_true)) + + # __getitem__ and __len__ inherited from ImageFolder + + +def build_dataset(is_train, args): + transform = build_transform(is_train, args) + + if args.data_set == 'CIFAR': + dataset = datasets.CIFAR100(args.data_path, train=is_train, transform=transform) + nb_classes = 100 + elif args.data_set == 'IMNET': + if not args.use_mcloader: + root = os.path.join(args.data_path, 'train' if is_train else 'val') + dataset = datasets.ImageFolder(root, transform=transform) + else: + dataset = ClassificationDataset( + 'train' if is_train else 'val', + pipeline=transform + ) + nb_classes = 1000 + elif args.data_set == 'INAT': + dataset = INatDataset(args.data_path, train=is_train, year=2018, + category=args.inat_category, transform=transform) + nb_classes = dataset.nb_classes + elif args.data_set == 'INAT19': + dataset = INatDataset(args.data_path, train=is_train, year=2019, + category=args.inat_category, transform=transform) + nb_classes = dataset.nb_classes + + return dataset, nb_classes + + +def build_transform(is_train, args): + resize_im = args.input_size > 32 + if is_train: + # this should always dispatch to transforms_imagenet_train + transform = create_transform( + input_size=args.input_size, + is_training=True, + color_jitter=args.color_jitter, + auto_augment=args.aa, + interpolation=args.train_interpolation, + re_prob=args.reprob, + re_mode=args.remode, + re_count=args.recount, + ) + if not resize_im: + # replace RandomResizedCropAndInterpolation with + # RandomCrop + transform.transforms[0] = transforms.RandomCrop( + args.input_size, padding=4) + return transform + + t = [] + if resize_im: + size = int((256 / 224) * args.input_size) + t.append( + transforms.Resize(size, interpolation=3), # to maintain same ratio w.r.t. 224 images + ) + t.append(transforms.CenterCrop(args.input_size)) + + t.append(transforms.ToTensor()) + t.append(transforms.Normalize(IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD)) + return transforms.Compose(t) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py new file mode 100644 index 000000000..b0059a6bc --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py @@ -0,0 +1,48 @@ +dataset_type = 'CocoDataset' +data_root = 'data/coco/' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']), +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']), + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=6, + train=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_train2017.json', + img_prefix=data_root + 'train2017/', + pipeline=train_pipeline), + val=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_val2017.json', + img_prefix=data_root + 'val2017/', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_val2017.json', + img_prefix=data_root + 'val2017/', + pipeline=test_pipeline)) +evaluation = dict(interval=1, metric='bbox') diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py new file mode 100644 index 000000000..a9f1aebbf --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py @@ -0,0 +1,48 @@ +dataset_type = 'CocoDataset' +data_root = 'data/coco/' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']), +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']), + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=6, + train=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_train2017.json', + img_prefix=data_root + 'train2017/', + pipeline=train_pipeline), + val=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_val2017.json', + img_prefix=data_root + 'val2017/', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + ann_file=data_root + 'annotations/instances_val2017.json', + img_prefix=data_root + 'val2017/', + pipeline=test_pipeline)) +evaluation = dict(metric=['bbox', 'segm']) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py new file mode 100644 index 000000000..8dcaa31aa --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py @@ -0,0 +1,16 @@ +checkpoint_config = dict(interval=1) +# yapf:disable +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook'), + # dict(type='TensorboardLoggerHook') + ]) +# yapf:enable +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +#fp16 = dict(loss_scale=512.) +find_unused_parameters = True diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py new file mode 100644 index 000000000..f0ae6ee22 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py @@ -0,0 +1,11 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.02, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +# learning policy +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py new file mode 100644 index 000000000..00e859022 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py @@ -0,0 +1,11 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +# learning policy +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[16, 19]) +runner = dict(type='EpochBasedRunner', max_epochs=20) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py new file mode 100644 index 000000000..69dc9ee80 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py @@ -0,0 +1,11 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +# learning policy +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[16, 22]) +runner = dict(type='EpochBasedRunner', max_epochs=24) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..3ef8fe483 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,10 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_base.pth', + backbone=dict( + type='alt_gvt_base', + style='pytorch'), + neck=dict( + in_channels=[96, 192, 384, 768], + out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py new file mode 100644 index 000000000..b4774057a --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py @@ -0,0 +1,11 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_base.pth', + backbone=dict( + _delete_=True, + type='alt_gvt_base', + style='pytorch'), + neck=dict( + in_channels=[96, 192, 384, 768], + out_channels=256)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..04667293d --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,11 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_large.pth', + backbone=dict( + type='alt_gvt_large', + style='pytorch'), + neck=dict( + in_channels=[128, 256, 512, 1024], + out_channels=256,)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py new file mode 100644 index 000000000..24833321e --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py @@ -0,0 +1,10 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_large.pth', + backbone=dict( + type='alt_gvt_large', + style='pytorch'), + neck=dict( + in_channels=[128, 256, 512, 1024], + out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..408013de7 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,11 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_small.pth', + backbone=dict( + type='alt_gvt_small', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 256, 512], + out_channels=256)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py new file mode 100644 index 000000000..3818dc30b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py @@ -0,0 +1,10 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_small.pth', + backbone=dict( + type='alt_gvt_small', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 256, 512], + out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..12ba3e726 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,9 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' +model = dict( + pretrained='pretrained/pcpvt_base.pth', + backbone=dict( + type='pcpvt_base', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 320, 512], + out_channels=256)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py new file mode 100644 index 000000000..57756445b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py @@ -0,0 +1,10 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' +model = dict( + pretrained='pretrained/pcpvt_base.pth', + backbone=dict( + type='pcpvt_base', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 320, 512], + out_channels=256)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..5c4ef84af --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,10 @@ +_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/pcpvt_large.pth', + backbone=dict( + type='pcpvt_large', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 320, 512], + out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..44299e777 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,27 @@ +_base_ = [ + '../configs/_base_/models/mask_rcnn_r50_fpn.py', + '../configs/_base_/datasets/coco_instance.py', + # '../configs/_base_/schedules/schedule_1x.py', + '../configs/_base_/default_runtime.py' +] +model = dict( + pretrained='pretrained/pcpvt_small.pth', + backbone=dict( + type='pcpvt_small', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 320, 512], + out_channels=256, + num_outs=5)) +# optimizer +optimizer = dict(type='AdamW', lr=0.0002, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +# learning policy +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +total_epochs = 12 diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py new file mode 100644 index 000000000..52aec282b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py @@ -0,0 +1,71 @@ +_base_ = [ + '../configs/_base_/models/mask_rcnn_r50_fpn.py', + '../configs/_base_/datasets/coco_instance.py', + '../configs/_base_/schedules/schedule_1x.py', + '../configs/_base_/default_runtime.py' +] + +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) + +# augmentation strategy originates from DETR / Sparse RCNN +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict(type='AutoAugment', + policies=[ + [ + dict(type='Resize', + img_scale=[(480, 1333), (512, 1333), (544, 1333), (576, 1333), + (608, 1333), (640, 1333), (672, 1333), (704, 1333), + (736, 1333), (768, 1333), (800, 1333)], + multiscale_mode='value', + keep_ratio=True) + ], + [ + dict(type='Resize', + img_scale=[(400, 1333), (500, 1333), (600, 1333)], + multiscale_mode='value', + keep_ratio=True), + dict(type='RandomCrop', + crop_type='absolute_range', + crop_size=(384, 600), + allow_negative_crop=True), + dict(type='Resize', + img_scale=[(480, 1333), (512, 1333), (544, 1333), + (576, 1333), (608, 1333), (640, 1333), + (672, 1333), (704, 1333), (736, 1333), + (768, 1333), (800, 1333)], + multiscale_mode='value', + override=True, + keep_ratio=True) + ] + ]), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']), +] +data = dict(train=dict(pipeline=train_pipeline)) + +optimizer = dict(_delete_=True, type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) + +model = dict( + pretrained='pretrained/pcpvt_small.pth', + backbone=dict( + type='pcpvt_small', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 320, 512], + out_channels=256, + num_outs=5)) +# optimizer +# learning policy +lr_config = dict(step=[27, 33]) +runner = dict(type='EpochBasedRunner', max_epochs=36) +total_epochs = 36 +fp16 = dict(loss_scale=512.) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..5bbbba920 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,11 @@ +_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_base.pth', + backbone=dict( + type='alt_gvt_base', + style='pytorch'), + neck=dict( + in_channels=[96, 192, 384, 768], + out_channels=256,)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py new file mode 100644 index 000000000..4f5458ebf --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py @@ -0,0 +1,11 @@ +_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' + +model = dict( + pretrained='pretrained/alt_gvt_base.pth', + backbone=dict( + type='alt_gvt_base', + style='pytorch'), + neck=dict( + in_channels=[96, 192, 384, 768], + out_channels=256,)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..9e513c64c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,11 @@ +_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_large.pth', + backbone=dict( + type='alt_gvt_large', + style='pytorch'), + neck=dict( + in_channels=[128, 256, 512, 1024], + out_channels=256,)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py new file mode 100644 index 000000000..6497d64cc --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py @@ -0,0 +1,14 @@ +_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' + +model = dict( + pretrained='pretrained/alt_gvt_large.pth', + backbone=dict( + type='alt_gvt_large', + style='pytorch'), + neck=dict( + in_channels=[128, 256, 512, 1024], + out_channels=256,)) + + + + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..711ca2427 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,11 @@ +_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/alt_gvt_small.pth', + backbone=dict( + type='alt_gvt_small', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 256, 512], + out_channels=256,)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py new file mode 100644 index 000000000..3d8cb9610 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py @@ -0,0 +1,11 @@ +_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' + +model = dict( + pretrained='pretrained/alt_gvt_small.pth', + backbone=dict( + type='alt_gvt_small', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 256, 512], + out_channels=256) +) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..0031af634 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,11 @@ +_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/pcpvt_base.pth', + backbone=dict( + type='pcpvt_base', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 320, 512], + out_channels=256,)) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py new file mode 100644 index 000000000..936fbfcb8 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py @@ -0,0 +1,10 @@ +_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' + +model = dict( + pretrained='pretrained/pcpvt_base.pth', + backbone=dict( + type='pcpvt_base', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 320, 512], + out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..60c861f24 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,10 @@ +_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' + +model = dict( + pretrained='pretrained/pcpvt_large.pth', + backbone=dict( + type='pcpvt_large', + style='pytorch'), + neck=dict( + in_channels=[64, 128, 320, 512], + out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py new file mode 100644 index 000000000..4a140f0da --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py @@ -0,0 +1,28 @@ +_base_ = [ + '_base_/models/retinanet_r50_fpn.py', + '_base_/datasets/coco_detection.py', + '_base_/default_runtime.py' +] +model = dict( + pretrained='pretrained/pcpvt_small.pth', + backbone=dict( + type='pcpvt_small', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 320, 512], + out_channels=256, + start_level=1, + add_extra_convs='on_input', + num_outs=5)) +# optimizer +optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +# learning policy +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +total_epochs = 12 diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py new file mode 100644 index 000000000..16bea7b53 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py @@ -0,0 +1,71 @@ +_base_ = [ + '_base_/models/retinanet_r50_fpn.py', + '_base_/datasets/coco_detection.py', + '../configs/_base_/schedules/schedule_1x.py', + '../configs/_base_/default_runtime.py' +] + +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) + +# augmentation strategy originates from DETR / Sparse RCNN +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict(type='AutoAugment', + policies=[ + [ + dict(type='Resize', + img_scale=[(480, 1333), (512, 1333), (544, 1333), (576, 1333), + (608, 1333), (640, 1333), (672, 1333), (704, 1333), + (736, 1333), (768, 1333), (800, 1333)], + multiscale_mode='value', + keep_ratio=True) + ], + [ + dict(type='Resize', + img_scale=[(400, 1333), (500, 1333), (600, 1333)], + multiscale_mode='value', + keep_ratio=True), + dict(type='RandomCrop', + crop_type='absolute_range', + crop_size=(384, 600), + allow_negative_crop=True), + dict(type='Resize', + img_scale=[(480, 1333), (512, 1333), (544, 1333), + (576, 1333), (608, 1333), (640, 1333), + (672, 1333), (704, 1333), (736, 1333), + (768, 1333), (800, 1333)], + multiscale_mode='value', + override=True, + keep_ratio=True) + ] + ]), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size_divisor=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']), +] +data = dict(train=dict(pipeline=train_pipeline)) + +optimizer = dict(_delete_=True, type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) +model = dict( + pretrained='pretrained/pcpvt_small.pth', + backbone=dict( + type='pcpvt_small', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 320, 512], + out_channels=256, + start_level=1, + add_extra_convs='on_input', + num_outs=5)) +# optimizer +# learning policy +lr_config = dict(step=[27, 33]) +runner = dict(type='EpochBasedRunner', max_epochs=36) +total_epochs = 36 diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh b/PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh new file mode 100644 index 000000000..3c74ec6ec --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh @@ -0,0 +1,10 @@ +#!/usr/bin/env bash + +CONFIG=$1 +CHECKPOINT=$2 +GPUS=$3 +PORT=${PORT:-29500} + +PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ +python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ + $(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4} diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh b/PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh new file mode 100644 index 000000000..5b43fffbf --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash + +CONFIG=$1 +GPUS=$2 +PORT=${PORT:-29500} + +PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ +python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ + $(dirname "$0")/train.py $CONFIG --launcher pytorch ${@:3} diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py b/PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py new file mode 100644 index 000000000..bd7c81f7d --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py @@ -0,0 +1,534 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +from functools import partial + +from timm.models.layers import DropPath, to_2tuple, trunc_normal_ +from timm.models.registry import register_model +from timm.models.vision_transformer import _cfg +from mmdet.models.builder import BACKBONES +from mmdet.utils import get_root_logger +from mmcv.runner import load_checkpoint +from timm.models.vision_transformer import Block as TimmBlock +from timm.models.vision_transformer import Attention as TimmAttention +from mmcv.runner import (auto_fp16, force_fp32,) + + +class Mlp(nn.Module): + def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + self.fc1 = nn.Linear(in_features, hidden_features) + self.act = act_layer() + self.fc2 = nn.Linear(hidden_features, out_features) + self.drop = nn.Dropout(drop) + + def forward(self, x): + x = self.fc1(x) + x = self.act(x) + x = self.drop(x) + x = self.fc2(x) + x = self.drop(x) + return x + + +class GroupAttention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., ws=1, sr_ratio=1.0): + """ + ws 1 for stand attention + """ + super(GroupAttention, self).__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + self.ws = ws + + @auto_fp16() + def forward(self, x, H, W): + B, N, C = x.shape + x = x.view(B, H, W, C) + pad_l = pad_t = 0 + pad_r = (self.ws - W % self.ws) % self.ws + pad_b = (self.ws - H % self.ws) % self.ws + x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b)) + _, Hp, Wp, _ = x.shape + _h, _w = Hp // self.ws, Wp // self.ws + x = x.reshape(B, _h, self.ws, _w, self.ws, C).transpose(2, 3) + qkv = self.qkv(x).reshape(B, _h * _w, self.ws * self.ws, 3, self.num_heads, + C // self.num_heads).permute(3, 0, 1, 4, 2, 5) + q, k, v = qkv[0], qkv[1], qkv[2] + attn = (q @ k.transpose(-2, -1)) * self.scale + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + attn = (attn @ v).transpose(2, 3).reshape(B, _h, _w, self.ws, self.ws, C) + x = attn.transpose(2, 3).reshape(B, _h * self.ws, _w * self.ws, C) + if pad_r > 0 or pad_b > 0: + x = x[:, :H, :W, :].contiguous() + x = x.reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + return x + + +class Attention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1): + super().__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + self.q = nn.Linear(dim, dim, bias=qkv_bias) + self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + + self.sr_ratio = sr_ratio + if sr_ratio > 1: + self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio) + self.norm = nn.LayerNorm(dim) + + @auto_fp16() + def forward(self, x, H, W): + B, N, C = x.shape + q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) + + if self.sr_ratio > 1: + x_ = x.permute(0, 2, 1).reshape(B, C, H, W) + x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1) + x_ = self.norm(x_) + kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + else: + kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + k, v = kv[0], kv[1] + + attn = (q @ k.transpose(-2, -1)) * self.scale + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = (attn @ v).transpose(1, 2).reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + + return x + + +class Block(nn.Module): + + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super().__init__() + self.norm1 = norm_layer(dim) + self.attn = Attention( + dim, + num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, + attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio) + # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here + self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() + self.norm2 = norm_layer(dim) + mlp_hidden_dim = int(dim * mlp_ratio) + self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + + return x + + +class SBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super(SBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + + def forward(self, x, H, W): + return super(SBlock, self).forward(x) + + +class GroupBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1, ws=1): + super(GroupBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + del self.attn + if ws == 1: + self.attn = Attention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, sr_ratio) + else: + self.attn = GroupAttention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, ws) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + return x + + +class PatchEmbed(nn.Module): + """ Image to Patch Embedding + """ + + def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): + super().__init__() + img_size = to_2tuple(img_size) + patch_size = to_2tuple(patch_size) + + self.img_size = img_size + self.patch_size = patch_size + assert img_size[0] % patch_size[0] == 0 and img_size[1] % patch_size[1] == 0, \ + f"img_size {img_size} should be divided by patch_size {patch_size}." + self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1] + self.num_patches = self.H * self.W + self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) + self.norm = nn.LayerNorm(embed_dim) + + def forward(self, x): + B, C, H, W = x.shape + + x = self.proj(x).flatten(2).transpose(1, 2) + x = self.norm(x) + H, W = H // self.patch_size[0], W // self.patch_size[1] + + return x, (H, W) + + +class PyramidVisionTransformer(nn.Module): + def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): + super().__init__() + self.num_classes = num_classes + self.depths = depths + + # patch_embed + self.patch_embeds = nn.ModuleList() + self.pos_embeds = nn.ParameterList() + self.pos_drops = nn.ModuleList() + self.blocks = nn.ModuleList() + + for i in range(len(depths)): + if i == 0: + self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) + else: + self.patch_embeds.append(PatchEmbed(img_size // patch_size // 2**(i-1), 2, embed_dims[i-1], embed_dims[i])) + patch_num = self.patch_embeds[-1].num_patches + 1 if i == len(embed_dims) -1 else self.patch_embeds[-1].num_patches + self.pos_embeds.append(nn.Parameter(torch.zeros(1, patch_num, embed_dims[i]))) + self.pos_drops.append(nn.Dropout(p=drop_rate)) + + # transformer encoder + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k]) + for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + + self.norm = norm_layer(embed_dims[-1]) + + # cls_token + self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dims[-1])) + + # classification head + self.head = nn.Linear(embed_dims[-1], num_classes) if num_classes > 0 else nn.Identity() + + # init weights + for pos_emb in self.pos_embeds: + trunc_normal_(pos_emb, std=.02) + self.apply(self._init_weights) + + def reset_drop_path(self, drop_path_rate): + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))] + cur = 0 + for k in range(len(self.depths)): + for i in range(self.depths[k]): + self.blocks[k][i].drop_path.drop_prob = dpr[cur + i] + cur += self.depths[k] + + def _init_weights(self, m): + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + + def init_weights(self, pretrained=None): + if isinstance(pretrained, str): + logger = get_root_logger() + load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger) + + @torch.jit.ignore + def no_weight_decay(self): + # return {'pos_embed', 'cls_token'} # has pos_embed may be better + return {'cls_token'} + + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes, global_pool=''): + self.num_classes = num_classes + self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() + + @auto_fp16() + def forward_features(self, x): + B = x.shape[0] + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + if i == len(self.depths) - 1: + cls_tokens = self.cls_token.expand(B, -1, -1) + x = torch.cat((cls_tokens, x), dim=1) + x = x + self.pos_embeds[i] + x = self.pos_drops[i](x) + for blk in self.blocks[i]: + x = blk(x, H, W) + if i < len(self.depths) - 1: + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + + x = self.norm(x) + + return x[:, 0] + + def forward(self, x): + x = self.forward_features(x) + x = self.head(x) + + return x + + +# PEG from https://arxiv.org/abs/2102.10882 +class PosCNN(nn.Module): + def __init__(self, in_chans, embed_dim=768, s=1): + super(PosCNN, self).__init__() + self.proj = nn.Sequential(nn.Conv2d(in_chans, embed_dim, 3, s, 1, bias=True, groups=embed_dim),) + self.s = s + + @auto_fp16() + def forward(self, x, H, W): + B, N, C = x.shape + feat_token = x + cnn_feat = feat_token.transpose(1, 2).view(B, C, H, W) + if self.s == 1: + x = self.proj(cnn_feat) + cnn_feat + else: + x = self.proj(cnn_feat) + x = x.flatten(2).transpose(1, 2) + return x + + def no_weight_decay(self): + return ['proj.%d.weight' % i for i in range(4)] + + +class CPVTV2(PyramidVisionTransformer): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block, F4=False): + super(CPVTV2, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, mlp_ratios, + qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, norm_layer, depths, + sr_ratios, block_cls) + self.F4 = F4 + del self.pos_embeds + del self.cls_token + self.pos_block = nn.ModuleList( + [PosCNN(embed_dim, embed_dim) for embed_dim in embed_dims] + ) + self.apply(self._init_weights) + + def _init_weights(self, m): + import math + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + elif isinstance(m, nn.Conv2d): + fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels + fan_out //= m.groups + m.weight.data.normal_(0, math.sqrt(2.0 / fan_out)) + if m.bias is not None: + m.bias.data.zero_() + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1.0) + m.bias.data.zero_() + + def no_weight_decay(self): + return set(['cls_token'] + ['pos_block.' + n for n, p in self.pos_block.named_parameters()]) + + @auto_fp16() + def forward_features(self, x): + outputs = list() + + B = x.shape[0] + + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + x = self.pos_drops[i](x) + for j, blk in enumerate(self.blocks[i]): + x = blk(x, H, W) + if j == 0: + x = self.pos_block[i](x, H, W) + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + outputs.append(x) + + return outputs + + def forward(self, x): + x = self.forward_features(x) + + if self.F4: + x = x[3:4] + + return x + + +class PCPVT(CPVTV2): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=SBlock, F4=False): + super(PCPVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls, F4) + + +class ALTGVT(PCPVT): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=GroupBlock, wss=[7, 7, 7], + F4=False, extra_norm=False): + super(ALTGVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls, F4) + del self.blocks + self.wss = wss + self.extra_norm = extra_norm + if self.extra_norm: + self.norm_list = nn.ModuleList() + for dim in embed_dims: + self.norm_list.append(norm_layer(dim)) + # transformer encoder + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + self.blocks = nn.ModuleList() + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k], ws=1 if i % 2 == 1 else wss[k]) for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + self.apply(self._init_weights) + + @auto_fp16() + def forward_features(self, x): + outputs = list() + + B = x.shape[0] + + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + x = self.pos_drops[i](x) + for j, blk in enumerate(self.blocks[i]): + x = blk(x, H, W) + if j == 0: + # We use a very simple implementation of PEG (single Sep at each stage). + # In fact, we can insert many PEGs into each block, which + # can improve the performance further. The core idea behind PEG is that even simple depthwise + # convolution provides sufficient positional information if paddings is given. It works quite well + # when global reception field is given. See https://arxiv.org/abs/2102.10882 for more details. + x = self.pos_block[i](x, H, W) + if self.extra_norm: + x = self.norm_list[i](x) + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + outputs.append(x) + + return outputs + + +def _conv_filter(state_dict, patch_size=16): + """ convert patch embedding weight from manual patchify + linear proj to conv""" + out_dict = {} + for k, v in state_dict.items(): + if 'patch_embed.proj.weight' in k: + v = v.reshape((v.shape[0], 3, patch_size, patch_size)) + out_dict[k] = v + + return out_dict + + +@BACKBONES.register_module() +class alt_gvt_small(ALTGVT): + def __init__(self, **kwargs): + super(alt_gvt_small, self).__init__( + patch_size=4, embed_dims=[64, 128, 256, 512], num_heads=[2, 4, 8, 16], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 10, 4], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + extra_norm=True, drop_path_rate=0.2, + ) + + +@BACKBONES.register_module() +class alt_gvt_base(ALTGVT): + def __init__(self, **kwargs): + super(alt_gvt_base, self).__init__( + patch_size=4, embed_dims=[96, 192, 384, 768], num_heads=[3, 6, 12, 24], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + extra_norm=True, drop_path_rate=0.2, + ) + + +@BACKBONES.register_module() +class alt_gvt_large(ALTGVT): + def __init__(self, **kwargs): + super(alt_gvt_large, self).__init__( + patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4], + qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + extra_norm=True, drop_path_rate=0.2, + ) + + +@BACKBONES.register_module() +class pcpvt_small(CPVTV2): + def __init__(self, **kwargs): + super(pcpvt_small, self).__init__( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], + qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], + drop_rate=0.0, drop_path_rate=0.2) + + +@BACKBONES.register_module() +class pcpvt_base(CPVTV2): + def __init__(self, **kwargs): + super(pcpvt_base, self).__init__( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 18, 3], sr_ratios=[8, 4, 2, 1], + drop_rate=0.0, drop_path_rate=0.2) + + +@BACKBONES.register_module() +class pcpvt_large(CPVTV2): + def __init__(self, **kwargs): + super(pcpvt_large, self).__init__( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 8, 27, 3], sr_ratios=[8, 4, 2, 1], + drop_rate=0.0, drop_path_rate=0.2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/test.py b/PyTorch/build-in/Classification/Twins/Twins/detection/test.py new file mode 100644 index 000000000..bb6ca2ad3 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/test.py @@ -0,0 +1,213 @@ +import argparse +import os +import warnings + +import mmcv +import torch +from mmcv import Config, DictAction +from mmcv.cnn import fuse_conv_bn +from mmcv.parallel import MMDataParallel, MMDistributedDataParallel +from mmcv.runner import (get_dist_info, init_dist, load_checkpoint, + wrap_fp16_model) + +from mmdet.apis import multi_gpu_test, single_gpu_test +from mmdet.datasets import (build_dataloader, build_dataset, + replace_ImageToTensor) +from mmdet.models import build_detector +import gvt + + +def parse_args(): + parser = argparse.ArgumentParser( + description='MMDet test (and eval) a model') + parser.add_argument('config', help='test config file path') + parser.add_argument('checkpoint', help='checkpoint file') + parser.add_argument('--out', help='output result file in pickle format') + parser.add_argument( + '--fuse-conv-bn', + action='store_true', + help='Whether to fuse conv and bn, this will slightly increase' + 'the inference speed') + parser.add_argument( + '--format-only', + action='store_true', + help='Format the output results without perform evaluation. It is' + 'useful when you want to format the result to a specific format and ' + 'submit it to the test server') + parser.add_argument( + '--eval', + type=str, + nargs='+', + help='evaluation metrics, which depends on the dataset, e.g., "bbox",' + ' "segm", "proposal" for COCO, and "mAP", "recall" for PASCAL VOC') + parser.add_argument('--show', action='store_true', help='show results') + parser.add_argument( + '--show-dir', help='directory where painted images will be saved') + parser.add_argument( + '--show-score-thr', + type=float, + default=0.3, + help='score threshold (default: 0.3)') + parser.add_argument( + '--gpu-collect', + action='store_true', + help='whether to use gpu to collect results.') + parser.add_argument( + '--tmpdir', + help='tmp directory used for collecting results from multiple ' + 'workers, available when gpu-collect is not specified') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='custom options for evaluation, the key-value pair in xxx=yyy ' + 'format will be kwargs for dataset.evaluate() function (deprecate), ' + 'change to --eval-options instead.') + parser.add_argument( + '--eval-options', + nargs='+', + action=DictAction, + help='custom options for evaluation, the key-value pair in xxx=yyy ' + 'format will be kwargs for dataset.evaluate() function') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.eval_options: + raise ValueError( + '--options and --eval-options cannot be both ' + 'specified, --options is deprecated in favor of --eval-options') + if args.options: + warnings.warn('--options is deprecated in favor of --eval-options') + args.eval_options = args.options + return args + + +def main(): + args = parse_args() + + assert args.out or args.eval or args.format_only or args.show \ + or args.show_dir, \ + ('Please specify at least one operation (save/eval/format/show the ' + 'results / save the results) with the argument "--out", "--eval"' + ', "--format-only", "--show" or "--show-dir"') + + if args.eval and args.format_only: + raise ValueError('--eval and --format_only cannot be both specified') + + if args.out is not None and not args.out.endswith(('.pkl', '.pickle')): + raise ValueError('The output file must be a pkl file.') + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + cfg.model.pretrained = None + if cfg.model.get('neck'): + if isinstance(cfg.model.neck, list): + for neck_cfg in cfg.model.neck: + if neck_cfg.get('rfp_backbone'): + if neck_cfg.rfp_backbone.get('pretrained'): + neck_cfg.rfp_backbone.pretrained = None + elif cfg.model.neck.get('rfp_backbone'): + if cfg.model.neck.rfp_backbone.get('pretrained'): + cfg.model.neck.rfp_backbone.pretrained = None + + # in case the test dataset is concatenated + if isinstance(cfg.data.test, dict): + cfg.data.test.test_mode = True + elif isinstance(cfg.data.test, list): + for ds_cfg in cfg.data.test: + ds_cfg.test_mode = True + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + + # build the dataloader + samples_per_gpu = cfg.data.test.pop('samples_per_gpu', 1) + if samples_per_gpu > 1: + # Replace 'ImageToTensor' to 'DefaultFormatBundle' + cfg.data.test.pipeline = replace_ImageToTensor(cfg.data.test.pipeline) + dataset = build_dataset(cfg.data.test) + data_loader = build_dataloader( + dataset, + samples_per_gpu=samples_per_gpu, + workers_per_gpu=cfg.data.workers_per_gpu, + dist=distributed, + shuffle=False) + + # build the model and load checkpoint + model = build_detector(cfg.model, train_cfg=None, test_cfg=cfg.test_cfg) + fp16_cfg = cfg.get('fp16', None) + if fp16_cfg is not None: + wrap_fp16_model(model) + checkpoint = load_checkpoint(model, args.checkpoint, map_location='cpu') + if args.fuse_conv_bn: + model = fuse_conv_bn(model) + # old versions did not save class info in checkpoints, this walkaround is + # for backward compatibility + if 'CLASSES' in checkpoint['meta']: + model.CLASSES = checkpoint['meta']['CLASSES'] + else: + model.CLASSES = dataset.CLASSES + + if not distributed: + model = MMDataParallel(model, device_ids=[0]) + outputs = single_gpu_test(model, data_loader, args.show, args.show_dir, + args.show_score_thr) + else: + model = MMDistributedDataParallel( + model.cuda(), + device_ids=[torch.cuda.current_device()], + broadcast_buffers=False) + outputs = multi_gpu_test(model, data_loader, args.tmpdir, + args.gpu_collect) + + rank, _ = get_dist_info() + if rank == 0: + if args.out: + print(f'\nwriting results to {args.out}') + mmcv.dump(outputs, args.out) + kwargs = {} if args.eval_options is None else args.eval_options + if args.format_only: + dataset.format_results(outputs, **kwargs) + if args.eval: + eval_kwargs = cfg.get('evaluation', {}).copy() + # hard-code way to remove EvalHook args + for key in [ + 'interval', 'tmpdir', 'start', 'gpu_collect', 'save_best', + 'rule' + ]: + eval_kwargs.pop(key, None) + eval_kwargs.update(dict(metric=args.eval, **kwargs)) + print(dataset.evaluate(outputs, **eval_kwargs)) + + +if __name__ == '__main__': + main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/train.py b/PyTorch/build-in/Classification/Twins/Twins/detection/train.py new file mode 100644 index 000000000..e9a9ca9f7 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/detection/train.py @@ -0,0 +1,187 @@ +import argparse +import copy +import os +import os.path as osp +import time +import warnings + + +import mmcv +import torch +from mmcv import Config, DictAction +from mmcv.runner import get_dist_info, init_dist +from mmcv.utils import get_git_hash + +from mmdet import __version__ +from mmdet.apis import set_random_seed, train_detector +from mmdet.datasets import build_dataset +from mmdet.models import build_detector +from mmdet.utils import collect_env, get_root_logger +import gvt + + +def parse_args(): + parser = argparse.ArgumentParser(description='Train a detector') + parser.add_argument('config', help='train config file path') + parser.add_argument('--work-dir', help='the dir to save logs and models') + parser.add_argument( + '--resume-from', help='the checkpoint file to resume from') + parser.add_argument( + '--no-validate', + action='store_true', + help='whether not to evaluate the checkpoint during training') + group_gpus = parser.add_mutually_exclusive_group() + group_gpus.add_argument( + '--gpus', + type=int, + help='number of gpus to use ' + '(only applicable to non-distributed training)') + group_gpus.add_argument( + '--gpu-ids', + type=int, + nargs='+', + help='ids of gpus to use ' + '(only applicable to non-distributed training)') + parser.add_argument('--seed', type=int, default=None, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file (deprecate), ' + 'change to --cfg-options instead.') + parser.add_argument( + '--cfg-options', + nargs='+', + action=DictAction, + help='override some settings in the used config, the key-value pair ' + 'in xxx=yyy format will be merged into config file. If the value to ' + 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' + 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' + 'Note that the quotation marks are necessary and that no white space ' + 'is allowed.') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + if args.options and args.cfg_options: + raise ValueError( + '--options and --cfg-options cannot be both ' + 'specified, --options is deprecated in favor of --cfg-options') + if args.options: + warnings.warn('--options is deprecated in favor of --cfg-options') + args.cfg_options = args.options + + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + if args.cfg_options is not None: + cfg.merge_from_dict(args.cfg_options) + # import modules from string list. + if cfg.get('custom_imports', None): + from mmcv.utils import import_modules_from_strings + import_modules_from_strings(**cfg['custom_imports']) + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + # work_dir is determined in this priority: CLI > segment in file > filename + if args.work_dir is not None: + # update configs according to CLI args if args.work_dir is not None + cfg.work_dir = args.work_dir + elif cfg.get('work_dir', None) is None: + # use config filename as default work_dir if cfg.work_dir is None + cfg.work_dir = osp.join('./work_dirs', + osp.splitext(osp.basename(args.config))[0]) + if args.resume_from is not None: + cfg.resume_from = args.resume_from + if args.gpu_ids is not None: + cfg.gpu_ids = args.gpu_ids + else: + cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + # re-set gpu_ids with distributed training mode + _, world_size = get_dist_info() + cfg.gpu_ids = range(world_size) + + # create work_dir + mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) + # dump config + cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) + # init the logger before other steps + timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) + log_file = osp.join(cfg.work_dir, f'{timestamp}.log') + logger = get_root_logger(log_file=log_file, log_level=cfg.log_level) + + # init the meta dict to record some important information such as + # environment info and seed, which will be logged + meta = dict() + # log env info + env_info_dict = collect_env() + env_info = '\n'.join([(f'{k}: {v}') for k, v in env_info_dict.items()]) + dash_line = '-' * 60 + '\n' + logger.info('Environment info:\n' + dash_line + env_info + '\n' + + dash_line) + meta['env_info'] = env_info + meta['config'] = cfg.pretty_text + # log some basic info + logger.info(f'Distributed training: {distributed}') + logger.info(f'Config:\n{cfg.pretty_text}') + + # set random seeds + if args.seed is not None: + logger.info(f'Set random seed to {args.seed}, ' + f'deterministic: {args.deterministic}') + set_random_seed(args.seed, deterministic=args.deterministic) + cfg.seed = args.seed + meta['seed'] = args.seed + meta['exp_name'] = osp.basename(args.config) + + model = build_detector( + cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg) + + datasets = [build_dataset(cfg.data.train)] + if len(cfg.workflow) == 2: + val_dataset = copy.deepcopy(cfg.data.val) + val_dataset.pipeline = cfg.data.train.pipeline + datasets.append(build_dataset(val_dataset)) + if cfg.checkpoint_config is not None: + # save mmdet version, config file content and class names in + # checkpoints as meta data + cfg.checkpoint_config.meta = dict( + mmdet_version=__version__ + get_git_hash()[:7], + CLASSES=datasets[0].CLASSES) + # add an attribute for visualization convenience + model.CLASSES = datasets[0].CLASSES + train_detector( + model, + datasets, + cfg, + distributed=distributed, + validate=(not args.no_validate), + timestamp=timestamp, + meta=meta) + + +if __name__ == '__main__': + main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/engine.py b/PyTorch/build-in/Classification/Twins/Twins/engine.py new file mode 100644 index 000000000..655b805ae --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/engine.py @@ -0,0 +1,96 @@ +# Copyright (c) 2015-present, Facebook, Inc. +# All rights reserved. +""" +Train and eval functions used in main.py +""" +import math +import sys +from typing import Iterable, Optional + +import torch + +from timm.data import Mixup +from timm.utils import accuracy, ModelEma + +from losses import DistillationLoss +import utils + + +def train_one_epoch(model: torch.nn.Module, criterion: DistillationLoss, + data_loader: Iterable, optimizer: torch.optim.Optimizer, + device: torch.device, epoch: int, loss_scaler, max_norm: float = 0, + model_ema: Optional[ModelEma] = None, mixup_fn: Optional[Mixup] = None, + set_training_mode=True): + model.train(set_training_mode) + metric_logger = utils.MetricLogger(delimiter=" ") + metric_logger.add_meter('lr', utils.SmoothedValue(window_size=1, fmt='{value:.6f}')) + header = 'Epoch: [{}]'.format(epoch) + print_freq = 10 + + for samples, targets in metric_logger.log_every(data_loader, print_freq, header): + samples = samples.to(device, non_blocking=True) + targets = targets.to(device, non_blocking=True) + + if mixup_fn is not None: + samples, targets = mixup_fn(samples, targets) + + with torch.cuda.amp.autocast(): + outputs = model(samples) + loss = criterion(samples, outputs, targets) + + loss_value = loss.item() + + if not math.isfinite(loss_value): + print("Loss is {}, stopping training".format(loss_value)) + sys.exit(1) + + optimizer.zero_grad() + + # this attribute is added by timm on one optimizer (adahessian) + is_second_order = hasattr(optimizer, 'is_second_order') and optimizer.is_second_order + loss_scaler(loss, optimizer, clip_grad=max_norm, + parameters=model.parameters(), create_graph=is_second_order) + + torch.cuda.synchronize() + if model_ema is not None: + model_ema.update(model) + + metric_logger.update(loss=loss_value) + metric_logger.update(lr=optimizer.param_groups[0]["lr"]) + # gather the stats from all processes + metric_logger.synchronize_between_processes() + print("Averaged stats:", metric_logger) + return {k: meter.global_avg for k, meter in metric_logger.meters.items()} + + +@torch.no_grad() +def evaluate(data_loader, model, device): + criterion = torch.nn.CrossEntropyLoss() + + metric_logger = utils.MetricLogger(delimiter=" ") + header = 'Test:' + + # switch to evaluation mode + model.eval() + + for images, target in metric_logger.log_every(data_loader, 10, header): + images = images.to(device, non_blocking=True) + target = target.to(device, non_blocking=True) + + # compute output + with torch.cuda.amp.autocast(): + output = model(images) + loss = criterion(output, target) + + acc1, acc5 = accuracy(output, target, topk=(1, 5)) + + batch_size = images.shape[0] + metric_logger.update(loss=loss.item()) + metric_logger.meters['acc1'].update(acc1.item(), n=batch_size) + metric_logger.meters['acc5'].update(acc5.item(), n=batch_size) + # gather the stats from all processes + metric_logger.synchronize_between_processes() + print('* Acc@1 {top1.global_avg:.3f} Acc@5 {top5.global_avg:.3f} loss {losses.global_avg:.3f}' + .format(top1=metric_logger.acc1, top5=metric_logger.acc5, losses=metric_logger.loss)) + + return {k: meter.global_avg for k, meter in metric_logger.meters.items()} diff --git a/PyTorch/build-in/Classification/Twins/Twins/gvt.py b/PyTorch/build-in/Classification/Twins/Twins/gvt.py new file mode 100644 index 000000000..ae5c92756 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/gvt.py @@ -0,0 +1,496 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +from functools import partial + +from timm.models.layers import DropPath, to_2tuple, trunc_normal_ +from timm.models.registry import register_model +from timm.models.vision_transformer import _cfg +from timm.models.vision_transformer import Block as TimmBlock +from timm.models.vision_transformer import Attention as TimmAttention + + +class Mlp(nn.Module): + def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + self.fc1 = nn.Linear(in_features, hidden_features) + self.act = act_layer() + self.fc2 = nn.Linear(hidden_features, out_features) + self.drop = nn.Dropout(drop) + + def forward(self, x): + x = self.fc1(x) + x = self.act(x) + x = self.drop(x) + x = self.fc2(x) + x = self.drop(x) + return x + + +class GroupAttention(nn.Module): + """ + LSA: self attention within a group + """ + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., ws=1): + assert ws != 1 + super(GroupAttention, self).__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + self.ws = ws + + def forward(self, x, H, W): + B, N, C = x.shape + h_group, w_group = H // self.ws, W // self.ws + + total_groups = h_group * w_group + + x = x.reshape(B, h_group, self.ws, w_group, self.ws, C).transpose(2, 3) + + qkv = self.qkv(x).reshape(B, total_groups, -1, 3, self.num_heads, C // self.num_heads).permute(3, 0, 1, 4, 2, 5) + # B, hw, ws*ws, 3, n_head, head_dim -> 3, B, hw, n_head, ws*ws, head_dim + q, k, v = qkv[0], qkv[1], qkv[2] # B, hw, n_head, ws*ws, head_dim + attn = (q @ k.transpose(-2, -1)) * self.scale # B, hw, n_head, ws*ws, ws*ws + attn = attn.softmax(dim=-1) + attn = self.attn_drop( + attn) # attn @ v-> B, hw, n_head, ws*ws, head_dim -> (t(2,3)) B, hw, ws*ws, n_head, head_dim + attn = (attn @ v).transpose(2, 3).reshape(B, h_group, w_group, self.ws, self.ws, C) + x = attn.transpose(2, 3).reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + return x + + +class Attention(nn.Module): + """ + GSA: using a key to summarize the information for a group to be efficient. + """ + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1): + super().__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + self.q = nn.Linear(dim, dim, bias=qkv_bias) + self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + + self.sr_ratio = sr_ratio + if sr_ratio > 1: + self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio) + self.norm = nn.LayerNorm(dim) + + def forward(self, x, H, W): + B, N, C = x.shape + q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) + + if self.sr_ratio > 1: + x_ = x.permute(0, 2, 1).reshape(B, C, H, W) + x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1) + x_ = self.norm(x_) + kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + else: + kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + k, v = kv[0], kv[1] + + attn = (q @ k.transpose(-2, -1)) * self.scale + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = (attn @ v).transpose(1, 2).reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + + return x + + +class Block(nn.Module): + + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super().__init__() + self.norm1 = norm_layer(dim) + self.attn = Attention( + dim, + num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, + attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio) + self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() + self.norm2 = norm_layer(dim) + mlp_hidden_dim = int(dim * mlp_ratio) + self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + + return x + + +class SBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super(SBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + + def forward(self, x, H, W): + return super(SBlock, self).forward(x) + + +class GroupBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1, ws=1): + super(GroupBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + del self.attn + if ws == 1: + self.attn = Attention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, sr_ratio) + else: + self.attn = GroupAttention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, ws) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + return x + + +class PatchEmbed(nn.Module): + """ Image to Patch Embedding + """ + + def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): + super().__init__() + img_size = to_2tuple(img_size) + patch_size = to_2tuple(patch_size) + + self.img_size = img_size + self.patch_size = patch_size + assert img_size[0] % patch_size[0] == 0 and img_size[1] % patch_size[1] == 0, \ + f"img_size {img_size} should be divided by patch_size {patch_size}." + self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1] + self.num_patches = self.H * self.W + self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) + self.norm = nn.LayerNorm(embed_dim) + + def forward(self, x): + B, C, H, W = x.shape + + x = self.proj(x).flatten(2).transpose(1, 2) + x = self.norm(x) + H, W = H // self.patch_size[0], W // self.patch_size[1] + + return x, (H, W) + + +# borrow from PVT https://github.com/whai362/PVT.git +class PyramidVisionTransformer(nn.Module): + def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): + super().__init__() + self.num_classes = num_classes + self.depths = depths + + # patch_embed + self.patch_embeds = nn.ModuleList() + self.pos_embeds = nn.ParameterList() + self.pos_drops = nn.ModuleList() + self.blocks = nn.ModuleList() + + for i in range(len(depths)): + if i == 0: + self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) + else: + self.patch_embeds.append( + PatchEmbed(img_size // patch_size // 2 ** (i - 1), 2, embed_dims[i - 1], embed_dims[i])) + patch_num = self.patch_embeds[-1].num_patches + 1 if i == len(embed_dims) - 1 else self.patch_embeds[ + -1].num_patches + self.pos_embeds.append(nn.Parameter(torch.zeros(1, patch_num, embed_dims[i]))) + self.pos_drops.append(nn.Dropout(p=drop_rate)) + + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, + qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k]) + for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + + self.norm = norm_layer(embed_dims[-1]) + + # cls_token + self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dims[-1])) + + # classification head + self.head = nn.Linear(embed_dims[-1], num_classes) if num_classes > 0 else nn.Identity() + + # init weights + for pos_emb in self.pos_embeds: + trunc_normal_(pos_emb, std=.02) + self.apply(self._init_weights) + + def reset_drop_path(self, drop_path_rate): + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))] + cur = 0 + for k in range(len(self.depths)): + for i in range(self.depths[k]): + self.blocks[k][i].drop_path.drop_prob = dpr[cur + i] + cur += self.depths[k] + + def _init_weights(self, m): + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + + @torch.jit.ignore + def no_weight_decay(self): + return {'cls_token'} + + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes, global_pool=''): + self.num_classes = num_classes + self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() + + def forward_features(self, x): + B = x.shape[0] + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + if i == len(self.depths) - 1: + cls_tokens = self.cls_token.expand(B, -1, -1) + x = torch.cat((cls_tokens, x), dim=1) + x = x + self.pos_embeds[i] + x = self.pos_drops[i](x) + for blk in self.blocks[i]: + x = blk(x, H, W) + if i < len(self.depths) - 1: + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + + x = self.norm(x) + + return x[:, 0] + + def forward(self, x): + x = self.forward_features(x) + x = self.head(x) + + return x + + +# PEG from https://arxiv.org/abs/2102.10882 +class PosCNN(nn.Module): + def __init__(self, in_chans, embed_dim=768, s=1): + super(PosCNN, self).__init__() + self.proj = nn.Sequential(nn.Conv2d(in_chans, embed_dim, 3, s, 1, bias=True, groups=embed_dim), ) + self.s = s + + def forward(self, x, H, W): + B, N, C = x.shape + feat_token = x + cnn_feat = feat_token.transpose(1, 2).view(B, C, H, W) + if self.s == 1: + x = self.proj(cnn_feat) + cnn_feat + else: + x = self.proj(cnn_feat) + x = x.flatten(2).transpose(1, 2) + return x + + def no_weight_decay(self): + return ['proj.%d.weight' % i for i in range(4)] + + +class CPVTV2(PyramidVisionTransformer): + """ + Use useful results from CPVT. PEG and GAP. + Therefore, cls token is no longer required. + PEG is used to encode the absolute position on the fly, which greatly affects the performance when input resolution + changes during the training (such as segmentation, detection) + """ + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): + super(CPVTV2, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, mlp_ratios, + qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, norm_layer, depths, + sr_ratios, block_cls) + del self.pos_embeds + del self.cls_token + self.pos_block = nn.ModuleList( + [PosCNN(embed_dim, embed_dim) for embed_dim in embed_dims] + ) + self.apply(self._init_weights) + + def _init_weights(self, m): + import math + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + elif isinstance(m, nn.Conv2d): + fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels + fan_out //= m.groups + m.weight.data.normal_(0, math.sqrt(2.0 / fan_out)) + if m.bias is not None: + m.bias.data.zero_() + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1.0) + m.bias.data.zero_() + + def no_weight_decay(self): + return set(['cls_token'] + ['pos_block.' + n for n, p in self.pos_block.named_parameters()]) + + def forward_features(self, x): + B = x.shape[0] + + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + x = self.pos_drops[i](x) + for j, blk in enumerate(self.blocks[i]): + x = blk(x, H, W) + if j == 0: + x = self.pos_block[i](x, H, W) # PEG here + if i < len(self.depths) - 1: + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + + x = self.norm(x) + + return x.mean(dim=1) # GAP here + + +class PCPVT(CPVTV2): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=SBlock): + super(PCPVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls) + + +class ALTGVT(PCPVT): + """ + alias Twins-SVT + """ + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=GroupBlock, wss=[7, 7, 7]): + super(ALTGVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls) + del self.blocks + self.wss = wss + # transformer encoder + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + self.blocks = nn.ModuleList() + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, + qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k], ws=1 if i % 2 == 1 else wss[k]) for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + self.apply(self._init_weights) + + +def _conv_filter(state_dict, patch_size=16): + """ convert patch embedding weight from manual patchify + linear proj to conv""" + out_dict = {} + for k, v in state_dict.items(): + if 'patch_embed.proj.weight' in k: + v = v.reshape((v.shape[0], 3, patch_size, patch_size)) + out_dict[k] = v + + return out_dict + + +@register_model +def pcpvt_small_v0(pretrained=False, **kwargs): + model = CPVTV2( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def pcpvt_base_v0(pretrained=False, **kwargs): + model = CPVTV2( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 18, 3], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def pcpvt_large_v0(pretrained=False, **kwargs): + model = CPVTV2( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 8, 27, 3], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def alt_gvt_small(pretrained=False, **kwargs): + model = ALTGVT( + patch_size=4, embed_dims=[64, 128, 256, 512], num_heads=[2, 4, 8, 16], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 10, 4], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def alt_gvt_base(pretrained=False, **kwargs): + model = ALTGVT( + patch_size=4, embed_dims=[96, 192, 384, 768], num_heads=[3, 6, 12, 24], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + **kwargs) + + model.default_cfg = _cfg() + return model + + +@register_model +def alt_gvt_large(pretrained=False, **kwargs): + model = ALTGVT( + patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4], + qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + **kwargs) + + model.default_cfg = _cfg() + return model diff --git a/PyTorch/build-in/Classification/Twins/Twins/logger.py b/PyTorch/build-in/Classification/Twins/Twins/logger.py new file mode 100644 index 000000000..2a303bb0c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logger.py @@ -0,0 +1,40 @@ +# -------------------------------------------------------- +# Borrow from Swin Transformer +# Copyright (c) 2021 Microsoft +# Licensed under The MIT License [see LICENSE for details] +# -------------------------------------------------------- + +import os +import sys +import logging +import functools +from termcolor import colored + + +@functools.lru_cache() +def create_logger(output_dir, dist_rank=0, name=''): + # create logger + logger = logging.getLogger(name) + logger.setLevel(logging.DEBUG) + logger.propagate = False + + # create formatter + fmt = '[%(asctime)s %(name)s] (%(filename)s %(lineno)d): %(levelname)s %(message)s' + color_fmt = colored('[%(asctime)s %(name)s]', 'green') + \ + colored('(%(filename)s %(lineno)d)', 'yellow') + ': %(levelname)s %(message)s' + + # create console handlers for master process + if dist_rank == 0: + console_handler = logging.StreamHandler(sys.stdout) + console_handler.setLevel(logging.DEBUG) + console_handler.setFormatter( + logging.Formatter(fmt=color_fmt, datefmt='%Y-%m-%d %H:%M:%S')) + logger.addHandler(console_handler) + + # create file handlers + file_handler = logging.FileHandler(os.path.join(output_dir, f'log_rank{dist_rank}.txt'), mode='a') + file_handler.setLevel(logging.DEBUG) + file_handler.setFormatter(logging.Formatter(fmt=fmt, datefmt='%Y-%m-%d %H:%M:%S')) + logger.addHandler(file_handler) + + return logger diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt new file mode 100644 index 000000000..4e5a9f31a --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt @@ -0,0 +1,300 @@ +{"train_lr": 9.999999999999953e-07, "train_loss": 6.910561935935947, "test_loss": 6.858418083552158, "test_acc1": 0.3420000162935257, "test_acc5": 1.3980000579357148, "epoch": 0, "n_parameters": 43828456} +{"train_lr": 9.999999999999953e-07, "train_loss": 6.894171662134328, "test_loss": 6.822545342373125, "test_acc1": 0.4100000189590454, "test_acc5": 1.8840000696372985, "epoch": 1, "n_parameters": 43828456} +{"train_lr": 0.00020080000000000092, "train_loss": 6.655116563649487, "test_loss": 5.70249330997467, "test_acc1": 5.050000167160034, "test_acc5": 15.030000400238038, "epoch": 2, "n_parameters": 43828456} +{"train_lr": 0.000400599999999987, "train_loss": 6.360040353785316, "test_loss": 4.843423107356736, "test_acc1": 12.202000349578858, "test_acc5": 29.66600080947876, "epoch": 3, "n_parameters": 43828456} +{"train_lr": 0.0006003999999999824, "train_loss": 6.095766383299916, "test_loss": 4.128979499592925, "test_acc1": 20.892000570068358, "test_acc5": 43.30600124786377, "epoch": 4, "n_parameters": 43828456} +{"train_lr": 0.0008002000000000078, "train_loss": 5.84668526456034, "test_loss": 3.5845714437239096, "test_acc1": 28.53400078765869, "test_acc5": 53.29200143188476, "epoch": 5, "n_parameters": 43828456} +{"train_lr": 0.0009993216197035084, "train_loss": 5.629380213175651, "test_loss": 3.1399162380081234, "test_acc1": 35.42200099060059, "test_acc5": 61.13800175048828, "epoch": 6, "n_parameters": 43828456} +{"train_lr": 0.000999023230572016, "train_loss": 5.379998026515463, "test_loss": 2.8143042000857266, "test_acc1": 40.81200121383667, "test_acc5": 66.87400194915772, "epoch": 7, "n_parameters": 43828456} +{"train_lr": 0.000998670666226098, "train_loss": 5.200768971257358, "test_loss": 2.5052305690266867, "test_acc1": 46.160001157836916, "test_acc5": 72.14400219116212, "epoch": 8, "n_parameters": 43828456} +{"train_lr": 0.0009982639653285214, "train_loss": 5.053526404140284, "test_loss": 2.321358538486741, "test_acc1": 49.60800133117676, "test_acc5": 74.64600212432862, "epoch": 9, "n_parameters": 43828456} +{"train_lr": 0.0009978031724785232, "train_loss": 4.92420284984876, "test_loss": 2.197260200525775, "test_acc1": 52.49600135009766, "test_acc5": 77.09600264007568, "epoch": 10, "n_parameters": 43828456} +{"train_lr": 0.000997288338207296, "train_loss": 4.805661285238014, "test_loss": 2.0931805128400978, "test_acc1": 54.43200162658692, "test_acc5": 78.92600266235351, "epoch": 11, "n_parameters": 43828456} +{"train_lr": 0.0009967195189721821, "train_loss": 4.725447046885387, "test_loss": 2.000329028476368, "test_acc1": 56.898001637573245, "test_acc5": 80.93200232940674, "epoch": 12, "n_parameters": 43828456} +{"train_lr": 0.0009960967771506664, "train_loss": 4.626506712248952, "test_loss": 1.895578918131915, "test_acc1": 58.010001535339356, "test_acc5": 81.51800245666504, "epoch": 13, "n_parameters": 43828456} +{"train_lr": 0.0009954201810333753, "train_loss": 4.560667088087038, "test_loss": 1.8324678960171612, "test_acc1": 59.72600143798828, "test_acc5": 83.10200249481201, "epoch": 14, "n_parameters": 43828456} +{"train_lr": 0.0009946898048166896, "train_loss": 4.496209529044626, "test_loss": 1.746892140444481, "test_acc1": 61.01600164642334, "test_acc5": 84.2280024407959, "epoch": 15, "n_parameters": 43828456} +{"train_lr": 0.000993905728594591, "train_loss": 4.438996416177871, "test_loss": 1.6766883491566686, "test_acc1": 62.166001834411624, "test_acc5": 84.76600273223877, "epoch": 16, "n_parameters": 43828456} +{"train_lr": 0.0009930680383498827, "train_loss": 4.396434288826302, "test_loss": 1.6695521785454317, "test_acc1": 62.74600191833496, "test_acc5": 85.11600269195557, "epoch": 17, "n_parameters": 43828456} +{"train_lr": 0.0009921768259447902, "train_loss": 4.342843172933272, "test_loss": 1.6335204941305248, "test_acc1": 63.37000181060791, "test_acc5": 85.58400243530274, "epoch": 18, "n_parameters": 43828456} +{"train_lr": 0.0009912321891107068, "train_loss": 4.304196375832379, "test_loss": 1.602156770726045, "test_acc1": 64.10800174560546, "test_acc5": 86.26200245635987, "epoch": 19, "n_parameters": 43828456} +{"train_lr": 0.000990234231437762, "train_loss": 4.25979546605826, "test_loss": 1.5543458558844798, "test_acc1": 64.6820019317627, "test_acc5": 86.7620024130249, "epoch": 20, "n_parameters": 43828456} +{"train_lr": 0.000989183062363242, "train_loss": 4.225975740799229, "test_loss": 1.511519312181256, "test_acc1": 65.80200172454833, "test_acc5": 87.21000248504639, "epoch": 21, "n_parameters": 43828456} +{"train_lr": 0.0009880787971596754, "train_loss": 4.192837777231142, "test_loss": 1.4814623941977818, "test_acc1": 66.31200203399658, "test_acc5": 87.65600240875244, "epoch": 22, "n_parameters": 43828456} +{"train_lr": 0.0009869215569222388, "train_loss": 4.167963731417553, "test_loss": 1.5092798751412015, "test_acc1": 66.54000168884278, "test_acc5": 87.88000249755859, "epoch": 23, "n_parameters": 43828456} +{"train_lr": 0.000985711468555267, "train_loss": 4.14745630861091, "test_loss": 1.4440393061800436, "test_acc1": 67.36400208282471, "test_acc5": 88.44000259552001, "epoch": 24, "n_parameters": 43828456} +{"train_lr": 0.0009844486647586856, "train_loss": 4.119348754461625, "test_loss": 1.4158476037961063, "test_acc1": 67.51400207214355, "test_acc5": 88.36200247039795, "epoch": 25, "n_parameters": 43828456} +{"train_lr": 0.00098313328401311, "train_loss": 4.091813917354428, "test_loss": 1.3875769591241172, "test_acc1": 67.86600193359375, "test_acc5": 88.65800255493164, "epoch": 26, "n_parameters": 43828456} +{"train_lr": 0.0009817654705648337, "train_loss": 4.068736020824034, "test_loss": 1.415415465154431, "test_acc1": 67.83600196166992, "test_acc5": 88.72200247741699, "epoch": 27, "n_parameters": 43828456} +{"train_lr": 0.0009803453744100898, "train_loss": 4.052848719316516, "test_loss": 1.3462144782145817, "test_acc1": 68.67200193237305, "test_acc5": 89.0600025982666, "epoch": 28, "n_parameters": 43828456} +{"train_lr": 0.0009788731512783825, "train_loss": 4.0283337841741, "test_loss": 1.4184718947067405, "test_acc1": 68.51800191558839, "test_acc5": 89.09600269927978, "epoch": 29, "n_parameters": 43828456} +{"train_lr": 0.00097734896261555, "train_loss": 4.005034564091242, "test_loss": 1.3215855335195859, "test_acc1": 69.18200212524414, "test_acc5": 89.51000257781982, "epoch": 30, "n_parameters": 43828456} +{"train_lr": 0.0009757729755660996, "train_loss": 4.0005323862333855, "test_loss": 1.311288129199635, "test_acc1": 69.4080022970581, "test_acc5": 89.64600235443115, "epoch": 31, "n_parameters": 43828456} +{"train_lr": 0.000974145362954742, "train_loss": 3.9808933335623675, "test_loss": 1.2846706315423504, "test_acc1": 70.06600188720704, "test_acc5": 89.97600229736328, "epoch": 32, "n_parameters": 43828456} +{"train_lr": 0.0009724663032675332, "train_loss": 3.9585116152092517, "test_loss": 1.2955292853893656, "test_acc1": 69.95800255950928, "test_acc5": 89.80800244934082, "epoch": 33, "n_parameters": 43828456} +{"train_lr": 0.000970735980632352, "train_loss": 3.9505534363593413, "test_loss": 1.2771688977425748, "test_acc1": 70.00000218475341, "test_acc5": 89.83200211181641, "epoch": 34, "n_parameters": 43828456} +{"train_lr": 0.0009689545847984843, "train_loss": 3.941155596150102, "test_loss": 1.2902914233731502, "test_acc1": 70.22000230529785, "test_acc5": 90.13800234741211, "epoch": 35, "n_parameters": 43828456} +{"train_lr": 0.000967122311116087, "train_loss": 3.9236095420462336, "test_loss": 1.278983217071403, "test_acc1": 70.22000241119385, "test_acc5": 90.19600256958007, "epoch": 36, "n_parameters": 43828456} +{"train_lr": 0.000965239360514694, "train_loss": 3.913978062016215, "test_loss": 1.2586109193437027, "test_acc1": 70.74200217529297, "test_acc5": 90.3940024545288, "epoch": 37, "n_parameters": 43828456} +{"train_lr": 0.0009633059394809262, "train_loss": 3.903719551152558, "test_loss": 1.216495075009086, "test_acc1": 71.21000231658935, "test_acc5": 90.61800234802246, "epoch": 38, "n_parameters": 43828456} +{"train_lr": 0.0009613222600362934, "train_loss": 3.888836922905714, "test_loss": 1.273612302812663, "test_acc1": 71.12000213287354, "test_acc5": 90.63400251373291, "epoch": 39, "n_parameters": 43828456} +{"train_lr": 0.0009592885397135909, "train_loss": 3.8769869219056137, "test_loss": 1.2415264822316892, "test_acc1": 71.04600205413819, "test_acc5": 90.64800264038085, "epoch": 40, "n_parameters": 43828456} +{"train_lr": 0.0009572050015330907, "train_loss": 3.8793138706807992, "test_loss": 1.2454836285023978, "test_acc1": 71.40000231140137, "test_acc5": 90.85600249847413, "epoch": 41, "n_parameters": 43828456} +{"train_lr": 0.0009550718739782929, "train_loss": 3.8531531561240495, "test_loss": 1.2141014529448566, "test_acc1": 71.33600233032226, "test_acc5": 90.86200247009278, "epoch": 42, "n_parameters": 43828456} +{"train_lr": 0.0009528893909706948, "train_loss": 3.8482802212953, "test_loss": 1.3148250433080124, "test_acc1": 71.24000249114991, "test_acc5": 90.90800261138916, "epoch": 43, "n_parameters": 43828456} +{"train_lr": 0.0009506577918441058, "train_loss": 3.8350021900604667, "test_loss": 1.211044227083524, "test_acc1": 71.57200219177246, "test_acc5": 91.10800270568848, "epoch": 44, "n_parameters": 43828456} +{"train_lr": 0.0009483773213185082, "train_loss": 3.829963940891812, "test_loss": 1.2199302338289493, "test_acc1": 71.71200233581543, "test_acc5": 90.91000235198975, "epoch": 45, "n_parameters": 43828456} +{"train_lr": 0.0009460482294732177, "train_loss": 3.8264097694060406, "test_loss": 1.1920845047994093, "test_acc1": 71.84600219848633, "test_acc5": 91.15200252349854, "epoch": 46, "n_parameters": 43828456} +{"train_lr": 0.000943670771719436, "train_loss": 3.816293169530652, "test_loss": 1.2529122797828731, "test_acc1": 71.77000253021241, "test_acc5": 91.07800261077881, "epoch": 47, "n_parameters": 43828456} +{"train_lr": 0.0009412452087721683, "train_loss": 3.8078732523176786, "test_loss": 1.1791143719897126, "test_acc1": 72.14000234436035, "test_acc5": 91.27400272399902, "epoch": 48, "n_parameters": 43828456} +{"train_lr": 0.0009387718066217019, "train_loss": 3.800468099727143, "test_loss": 1.206561882387508, "test_acc1": 71.95400251953124, "test_acc5": 91.23800239227295, "epoch": 49, "n_parameters": 43828456} +{"train_lr": 0.000936250836504503, "train_loss": 3.793626870587766, "test_loss": 1.1641583183046542, "test_acc1": 72.20800236175538, "test_acc5": 91.35200267181396, "epoch": 50, "n_parameters": 43828456} +{"train_lr": 0.0009336825748732897, "train_loss": 3.7756208194245535, "test_loss": 1.180441787974401, "test_acc1": 72.45200235168457, "test_acc5": 91.55800266021728, "epoch": 51, "n_parameters": 43828456} +{"train_lr": 0.0009310673033669664, "train_loss": 3.7682406154039096, "test_loss": 1.1788608434073853, "test_acc1": 72.52400226409912, "test_acc5": 91.21400247558594, "epoch": 52, "n_parameters": 43828456} +{"train_lr": 0.0009284053087794627, "train_loss": 3.75671124501194, "test_loss": 1.1488976087985616, "test_acc1": 72.84200238067626, "test_acc5": 91.78200243560791, "epoch": 53, "n_parameters": 43828456} +{"train_lr": 0.0009256968830284788, "train_loss": 3.762628299369515, "test_loss": 1.1638045236468315, "test_acc1": 72.58400237426758, "test_acc5": 91.65000239959717, "epoch": 54, "n_parameters": 43828456} +{"train_lr": 0.0009229423231234935, "train_loss": 3.7608601194110323, "test_loss": 1.1569434481136727, "test_acc1": 72.69200212554932, "test_acc5": 91.73200245483399, "epoch": 55, "n_parameters": 43828456} +{"train_lr": 0.0009201419311329745, "train_loss": 3.7602542013668425, "test_loss": 1.1289431414369382, "test_acc1": 72.90600260742187, "test_acc5": 91.86400281280518, "epoch": 56, "n_parameters": 43828456} +{"train_lr": 0.0009172960141514878, "train_loss": 3.7312511640915766, "test_loss": 1.1426278305324642, "test_acc1": 73.04000241760254, "test_acc5": 91.83400266113281, "epoch": 57, "n_parameters": 43828456} +{"train_lr": 0.0009144048842658995, "train_loss": 3.740418354503447, "test_loss": 1.157222931132172, "test_acc1": 73.23600232177735, "test_acc5": 91.85000248962402, "epoch": 58, "n_parameters": 43828456} +{"train_lr": 0.0009114688585212051, "train_loss": 3.738585502242775, "test_loss": 1.1633950848922585, "test_acc1": 73.04600245483398, "test_acc5": 91.83400246307373, "epoch": 59, "n_parameters": 43828456} +{"train_lr": 0.0009084882588856559, "train_loss": 3.7220607472123572, "test_loss": 1.1256716725501148, "test_acc1": 73.31400234252929, "test_acc5": 91.90600260162354, "epoch": 60, "n_parameters": 43828456} +{"train_lr": 0.0009054634122156225, "train_loss": 3.7185249235227906, "test_loss": 1.1260906794306003, "test_acc1": 73.2320023083496, "test_acc5": 91.95400271270752, "epoch": 61, "n_parameters": 43828456} +{"train_lr": 0.0009023946502195918, "train_loss": 3.7143836199141425, "test_loss": 1.140568994211428, "test_acc1": 73.28400251831054, "test_acc5": 92.00000259674073, "epoch": 62, "n_parameters": 43828456} +{"train_lr": 0.0008992823094219693, "train_loss": 3.7099215794714997, "test_loss": 1.1329448270526798, "test_acc1": 73.5160024130249, "test_acc5": 92.10000228942872, "epoch": 63, "n_parameters": 43828456} +{"train_lr": 0.0008961267311259657, "train_loss": 3.7045687335810595, "test_loss": 1.1092317510734906, "test_acc1": 73.6920023147583, "test_acc5": 92.23600231079102, "epoch": 64, "n_parameters": 43828456} +{"train_lr": 0.0008929282613763057, "train_loss": 3.702071560086678, "test_loss": 1.1203764114867558, "test_acc1": 73.75600250335694, "test_acc5": 92.09000266693116, "epoch": 65, "n_parameters": 43828456} +{"train_lr": 0.0008896872509212006, "train_loss": 3.6962908043278206, "test_loss": 1.130358145092473, "test_acc1": 73.72200247650146, "test_acc5": 92.17400253479003, "epoch": 66, "n_parameters": 43828456} +{"train_lr": 0.0008864040551740224, "train_loss": 3.6934665279756254, "test_loss": 1.1054135749511647, "test_acc1": 73.59200230804443, "test_acc5": 92.30600265289307, "epoch": 67, "n_parameters": 43828456} +{"train_lr": 0.0008830790341741554, "train_loss": 3.6850948004509143, "test_loss": 1.1102937112251918, "test_acc1": 73.82000262420654, "test_acc5": 92.27400260498047, "epoch": 68, "n_parameters": 43828456} +{"train_lr": 0.000879712552547612, "train_loss": 3.6901048636979623, "test_loss": 1.1122257935278343, "test_acc1": 73.67800260345459, "test_acc5": 92.1660024432373, "epoch": 69, "n_parameters": 43828456} +{"train_lr": 0.0008763049794670927, "train_loss": 3.6752337913194912, "test_loss": 1.0836513547057456, "test_acc1": 74.0080024118042, "test_acc5": 92.25600233398437, "epoch": 70, "n_parameters": 43828456} +{"train_lr": 0.0008728566886112912, "train_loss": 3.6677338799222006, "test_loss": 1.1247726599826957, "test_acc1": 73.63200235046386, "test_acc5": 92.28800252044678, "epoch": 71, "n_parameters": 43828456} +{"train_lr": 0.000869368058124286, "train_loss": 3.6679705167226464, "test_loss": 1.1398829571676976, "test_acc1": 73.91000241912842, "test_acc5": 92.30800233093262, "epoch": 72, "n_parameters": 43828456} +{"train_lr": 0.0008658394705736102, "train_loss": 3.653359052160089, "test_loss": 1.1192384107094822, "test_acc1": 73.9560022845459, "test_acc5": 92.25000265502929, "epoch": 73, "n_parameters": 43828456} +{"train_lr": 0.0008622713129087039, "train_loss": 3.6516977435679174, "test_loss": 1.1081715547903017, "test_acc1": 74.05600253723145, "test_acc5": 92.45200243927002, "epoch": 74, "n_parameters": 43828456} +{"train_lr": 0.0008586639764182332, "train_loss": 3.651262254928418, "test_loss": 1.093343184414235, "test_acc1": 74.10800249633789, "test_acc5": 92.4180025906372, "epoch": 75, "n_parameters": 43828456} +{"train_lr": 0.0008550178566873157, "train_loss": 3.640647269291081, "test_loss": 1.0957882079211148, "test_acc1": 74.20600268493652, "test_acc5": 92.44400237487793, "epoch": 76, "n_parameters": 43828456} +{"train_lr": 0.0008513333535541272, "train_loss": 3.647766716927171, "test_loss": 1.1016571320819133, "test_acc1": 74.03800253112793, "test_acc5": 92.57800252227783, "epoch": 77, "n_parameters": 43828456} +{"train_lr": 0.0008476108710658582, "train_loss": 3.630557488027713, "test_loss": 1.0754908287163936, "test_acc1": 74.57400250152588, "test_acc5": 92.7140025177002, "epoch": 78, "n_parameters": 43828456} +{"train_lr": 0.00084385081743468, "train_loss": 3.6331341389438614, "test_loss": 1.0902109091932124, "test_acc1": 74.4500024520874, "test_acc5": 92.58800249847413, "epoch": 79, "n_parameters": 43828456} +{"train_lr": 0.0008400536049929256, "train_loss": 3.61881555577548, "test_loss": 1.0745737317836646, "test_acc1": 74.55400242004394, "test_acc5": 92.52800276000977, "epoch": 80, "n_parameters": 43828456} +{"train_lr": 0.0008362196501476587, "train_loss": 3.614267086120342, "test_loss": 1.070550768099951, "test_acc1": 74.70000254821777, "test_acc5": 92.69200236846923, "epoch": 81, "n_parameters": 43828456} +{"train_lr": 0.0008323493733352106, "train_loss": 3.619807116562228, "test_loss": 1.0902335555715994, "test_acc1": 74.66800223083496, "test_acc5": 92.75600254272462, "epoch": 82, "n_parameters": 43828456} +{"train_lr": 0.0008284431989751196, "train_loss": 3.6110829580411448, "test_loss": 1.0834870029127959, "test_acc1": 74.57800240539551, "test_acc5": 92.60400263488769, "epoch": 83, "n_parameters": 43828456} +{"train_lr": 0.0008245015554233518, "train_loss": 3.609576810082848, "test_loss": 1.0904051465066997, "test_acc1": 74.64800252868652, "test_acc5": 92.78400242980958, "epoch": 84, "n_parameters": 43828456} +{"train_lr": 0.0008205248749255873, "train_loss": 3.601583828504899, "test_loss": 1.0653487709209775, "test_acc1": 74.84200227386475, "test_acc5": 92.74200256225586, "epoch": 85, "n_parameters": 43828456} +{"train_lr": 0.0008165135935696841, "train_loss": 3.596034297911669, "test_loss": 1.0526668526458018, "test_acc1": 74.8940022265625, "test_acc5": 92.95200247314453, "epoch": 86, "n_parameters": 43828456} +{"train_lr": 0.0008124681512377846, "train_loss": 3.591640191827175, "test_loss": 1.0526833562462619, "test_acc1": 74.71000245544434, "test_acc5": 92.89600245758056, "epoch": 87, "n_parameters": 43828456} +{"train_lr": 0.0008083889915582182, "train_loss": 3.592439017445445, "test_loss": 1.0565430770317714, "test_acc1": 74.95400243988037, "test_acc5": 92.82600236328125, "epoch": 88, "n_parameters": 43828456} +{"train_lr": 0.0008042765618568846, "train_loss": 3.5848700264327342, "test_loss": 1.09751495064208, "test_acc1": 74.72000238677978, "test_acc5": 92.81800253631592, "epoch": 89, "n_parameters": 43828456} +{"train_lr": 0.0008001313131079711, "train_loss": 3.5899072911956615, "test_loss": 1.0244622205694516, "test_acc1": 75.20200245880127, "test_acc5": 92.93000257904053, "epoch": 90, "n_parameters": 43828456} +{"train_lr": 0.0007959536998847494, "train_loss": 3.5907157279318755, "test_loss": 1.0895846500767, "test_acc1": 75.05200255950928, "test_acc5": 92.810002578125, "epoch": 91, "n_parameters": 43828456} +{"train_lr": 0.0007917441803096098, "train_loss": 3.5759952967282205, "test_loss": 1.0281133079393343, "test_acc1": 75.24600254943847, "test_acc5": 92.99600271972656, "epoch": 92, "n_parameters": 43828456} +{"train_lr": 0.0007875032160038205, "train_loss": 3.5761649074266666, "test_loss": 1.028428688080925, "test_acc1": 75.0660025415039, "test_acc5": 92.90400266967774, "epoch": 93, "n_parameters": 43828456} +{"train_lr": 0.0007832312720368117, "train_loss": 3.560845647165053, "test_loss": 1.0321017130080499, "test_acc1": 75.31200275238037, "test_acc5": 93.14400247955322, "epoch": 94, "n_parameters": 43828456} +{"train_lr": 0.0007789288168754665, "train_loss": 3.5666438399744833, "test_loss": 1.0178439890344937, "test_acc1": 75.2360022567749, "test_acc5": 93.08200265563964, "epoch": 95, "n_parameters": 43828456} +{"train_lr": 0.0007745963223324492, "train_loss": 3.5622759816600835, "test_loss": 1.053838136747028, "test_acc1": 75.25400249420166, "test_acc5": 93.05000232971192, "epoch": 96, "n_parameters": 43828456} +{"train_lr": 0.0007702342635146132, "train_loss": 3.5543794097612613, "test_loss": 1.0259826068173756, "test_acc1": 75.34000255249023, "test_acc5": 93.10800265533447, "epoch": 97, "n_parameters": 43828456} +{"train_lr": 0.0007658431187708385, "train_loss": 3.547227956181903, "test_loss": 1.0230888717553832, "test_acc1": 75.37000255950927, "test_acc5": 93.14600248199463, "epoch": 98, "n_parameters": 43828456} +{"train_lr": 0.0007614233696396923, "train_loss": 3.554096041775817, "test_loss": 1.0392477677175493, "test_acc1": 75.68800248687744, "test_acc5": 93.11400267669677, "epoch": 99, "n_parameters": 43828456} +{"train_lr": 0.0007569755007964469, "train_loss": 3.547273649848241, "test_loss": 1.061363585293293, "test_acc1": 75.19400230712891, "test_acc5": 92.99800253051758, "epoch": 100, "n_parameters": 43828456} +{"train_lr": 0.0007525000000000169, "train_loss": 3.5409508189089673, "test_loss": 1.0137135731902989, "test_acc1": 75.56000239501954, "test_acc5": 93.33400265472412, "epoch": 101, "n_parameters": 43828456} +{"train_lr": 0.0007479973580395145, "train_loss": 3.532171768964909, "test_loss": 1.0228483843984026, "test_acc1": 75.74000265930175, "test_acc5": 93.22600239898682, "epoch": 102, "n_parameters": 43828456} +{"train_lr": 0.0007434680686803327, "train_loss": 3.5398908950727908, "test_loss": 1.0331012540017113, "test_acc1": 75.4960024887085, "test_acc5": 93.17800259613037, "epoch": 103, "n_parameters": 43828456} +{"train_lr": 0.0007389126286101685, "train_loss": 3.5340503699344983, "test_loss": 1.043594617396593, "test_acc1": 75.66400243377686, "test_acc5": 93.27800273345947, "epoch": 104, "n_parameters": 43828456} +{"train_lr": 0.0007343315373843357, "train_loss": 3.526738891474825, "test_loss": 1.031643674680681, "test_acc1": 75.90800244812011, "test_acc5": 93.21200274658203, "epoch": 105, "n_parameters": 43828456} +{"train_lr": 0.0007297252973710595, "train_loss": 3.5364969056382547, "test_loss": 1.0125780835973495, "test_acc1": 75.87600229064941, "test_acc5": 93.26600262268066, "epoch": 106, "n_parameters": 43828456} +{"train_lr": 0.0007250944136965275, "train_loss": 3.5229194644067308, "test_loss": 1.005988667747288, "test_acc1": 75.77600264007569, "test_acc5": 93.22400268768311, "epoch": 107, "n_parameters": 43828456} +{"train_lr": 0.0007204393941893078, "train_loss": 3.5156837821268825, "test_loss": 1.0164078148928555, "test_acc1": 75.94600263427735, "test_acc5": 93.43600249298096, "epoch": 108, "n_parameters": 43828456} +{"train_lr": 0.0007157607493246968, "train_loss": 3.5146296736505107, "test_loss": 0.9806528120781436, "test_acc1": 76.14200255645751, "test_acc5": 93.5640025970459, "epoch": 109, "n_parameters": 43828456} +{"train_lr": 0.0007110589921689151, "train_loss": 3.508026317202692, "test_loss": 1.0267890364383205, "test_acc1": 75.98200252838134, "test_acc5": 93.36000250274658, "epoch": 110, "n_parameters": 43828456} +{"train_lr": 0.0007063346383225066, "train_loss": 3.503242582225685, "test_loss": 1.0043513841475502, "test_acc1": 75.81400269165039, "test_acc5": 93.35600247528076, "epoch": 111, "n_parameters": 43828456} +{"train_lr": 0.0007015882058641976, "train_loss": 3.507287185993507, "test_loss": 0.989601756022735, "test_acc1": 75.95400260009765, "test_acc5": 93.48000253814698, "epoch": 112, "n_parameters": 43828456} +{"train_lr": 0.0006968202152938009, "train_loss": 3.4995284996134677, "test_loss": 1.0055657044956179, "test_acc1": 76.1060025076294, "test_acc5": 93.56000241851807, "epoch": 113, "n_parameters": 43828456} +{"train_lr": 0.0006920311894751397, "train_loss": 3.495591872720886, "test_loss": 1.024140926585956, "test_acc1": 75.89000252197266, "test_acc5": 93.42000241394042, "epoch": 114, "n_parameters": 43828456} +{"train_lr": 0.0006872216535789267, "train_loss": 3.487952898613078, "test_loss": 0.9920842961379976, "test_acc1": 76.20000255371093, "test_acc5": 93.58200259979247, "epoch": 115, "n_parameters": 43828456} +{"train_lr": 0.0006823921350249367, "train_loss": 3.4874183345827268, "test_loss": 1.0080981690323714, "test_acc1": 76.22600239746093, "test_acc5": 93.56000239349365, "epoch": 116, "n_parameters": 43828456} +{"train_lr": 0.0006775431634242846, "train_loss": 3.4856355730816424, "test_loss": 0.9978456794086731, "test_acc1": 76.3100024255371, "test_acc5": 93.530002651062, "epoch": 117, "n_parameters": 43828456} +{"train_lr": 0.0006726752705214028, "train_loss": 3.4806072682642535, "test_loss": 1.002634071039431, "test_acc1": 76.10800236145019, "test_acc5": 93.61400241577148, "epoch": 118, "n_parameters": 43828456} +{"train_lr": 0.0006677889901356115, "train_loss": 3.482238732057986, "test_loss": 1.0032375847751445, "test_acc1": 76.24200245361328, "test_acc5": 93.62800258880615, "epoch": 119, "n_parameters": 43828456} +{"train_lr": 0.0006628848581025351, "train_loss": 3.4653884138134745, "test_loss": 0.998026564943068, "test_acc1": 76.21200257232665, "test_acc5": 93.69800255493163, "epoch": 120, "n_parameters": 43828456} +{"train_lr": 0.0006579634122155856, "train_loss": 3.4677248352484926, "test_loss": 0.995446515692906, "test_acc1": 76.26000242340088, "test_acc5": 93.65400250213624, "epoch": 121, "n_parameters": 43828456} +{"train_lr": 0.0006530251921667783, "train_loss": 3.4656117138245124, "test_loss": 0.9973187256943096, "test_acc1": 76.4520023348999, "test_acc5": 93.7200025088501, "epoch": 122, "n_parameters": 43828456} +{"train_lr": 0.0006480707394875038, "train_loss": 3.4686477139985246, "test_loss": 0.9737501562093244, "test_acc1": 76.59800273468018, "test_acc5": 93.80600262176513, "epoch": 123, "n_parameters": 43828456} +{"train_lr": 0.0006431005974894059, "train_loss": 3.458229513882066, "test_loss": 0.9800567580669215, "test_acc1": 76.58800250732422, "test_acc5": 93.75000251586914, "epoch": 124, "n_parameters": 43828456} +{"train_lr": 0.000638115311204536, "train_loss": 3.4512551568752285, "test_loss": 0.970006210673036, "test_acc1": 76.62200230316162, "test_acc5": 93.72800243988037, "epoch": 125, "n_parameters": 43828456} +{"train_lr": 0.0006331154273257683, "train_loss": 3.4504187063014, "test_loss": 0.9799829438102968, "test_acc1": 76.89800241790772, "test_acc5": 93.90800264282227, "epoch": 126, "n_parameters": 43828456} +{"train_lr": 0.0006281014941466044, "train_loss": 3.44108488837735, "test_loss": 1.0002154619856314, "test_acc1": 76.48800265197754, "test_acc5": 93.82000255249024, "epoch": 127, "n_parameters": 43828456} +{"train_lr": 0.000623074061501409, "train_loss": 3.4472070023072043, "test_loss": 0.9827754204020356, "test_acc1": 76.6160025491333, "test_acc5": 93.72600271697998, "epoch": 128, "n_parameters": 43828456} +{"train_lr": 0.0006180336807047859, "train_loss": 3.4412623481641855, "test_loss": 1.0009307513634365, "test_acc1": 76.77200258728027, "test_acc5": 93.73400249877929, "epoch": 129, "n_parameters": 43828456} +{"train_lr": 0.0006129809044912789, "train_loss": 3.4427975474787558, "test_loss": 0.9879039297952796, "test_acc1": 76.69200235687256, "test_acc5": 93.85200254638671, "epoch": 130, "n_parameters": 43828456} +{"train_lr": 0.0006079162869547817, "train_loss": 3.427193152699634, "test_loss": 0.9721809719322305, "test_acc1": 76.72400244049072, "test_acc5": 94.01800251953125, "epoch": 131, "n_parameters": 43828456} +{"train_lr": 0.0006028403834876773, "train_loss": 3.4305542767357577, "test_loss": 0.9943249839724917, "test_acc1": 76.89400252258301, "test_acc5": 93.9260024835205, "epoch": 132, "n_parameters": 43828456} +{"train_lr": 0.0005977537507199184, "train_loss": 3.4248334394870614, "test_loss": 0.9434187115367615, "test_acc1": 76.99600243682862, "test_acc5": 94.09800259094239, "epoch": 133, "n_parameters": 43828456} +{"train_lr": 0.0005926569464581887, "train_loss": 3.422555887739626, "test_loss": 0.9644759520888329, "test_acc1": 77.05000247985839, "test_acc5": 94.02000256958007, "epoch": 134, "n_parameters": 43828456} +{"train_lr": 0.0005875505296244566, "train_loss": 3.418253530689376, "test_loss": 0.9636414257640188, "test_acc1": 77.0560023828125, "test_acc5": 94.01200237609864, "epoch": 135, "n_parameters": 43828456} +{"train_lr": 0.0005824350601949218, "train_loss": 3.4142320066881027, "test_loss": 0.9743218160036838, "test_acc1": 76.83600249053956, "test_acc5": 93.91400254211426, "epoch": 136, "n_parameters": 43828456} +{"train_lr": 0.0005773110991383895, "train_loss": 3.4174570626110956, "test_loss": 0.9760739609147563, "test_acc1": 77.02600262786865, "test_acc5": 93.9240024230957, "epoch": 137, "n_parameters": 43828456} +{"train_lr": 0.0005721792083549796, "train_loss": 3.4078772232401, "test_loss": 0.9465661874097405, "test_acc1": 77.20800230560303, "test_acc5": 94.06000266296387, "epoch": 138, "n_parameters": 43828456} +{"train_lr": 0.0005670399506143469, "train_loss": 3.3990436339383123, "test_loss": 0.9246996177191084, "test_acc1": 77.12000250488282, "test_acc5": 94.01800256896972, "epoch": 139, "n_parameters": 43828456} +{"train_lr": 0.0005618938894939768, "train_loss": 3.4002943443094225, "test_loss": 0.9580870151068225, "test_acc1": 77.14600244262695, "test_acc5": 94.02800248413087, "epoch": 140, "n_parameters": 43828456} +{"train_lr": 0.0005567415893175016, "train_loss": 3.401673523665999, "test_loss": 0.9505660361187025, "test_acc1": 77.3180023071289, "test_acc5": 94.11400271240234, "epoch": 141, "n_parameters": 43828456} +{"train_lr": 0.0005515836150926655, "train_loss": 3.396399166086595, "test_loss": 0.9599978946375124, "test_acc1": 77.33800239898682, "test_acc5": 94.1000025579834, "epoch": 142, "n_parameters": 43828456} +{"train_lr": 0.0005464205324494959, "train_loss": 3.3879302473162576, "test_loss": 0.9340598983972361, "test_acc1": 77.51600250793457, "test_acc5": 94.34200265197754, "epoch": 143, "n_parameters": 43828456} +{"train_lr": 0.0005412529075781865, "train_loss": 3.3735298319972102, "test_loss": 0.9627012959258123, "test_acc1": 77.29400255767823, "test_acc5": 94.10200235290527, "epoch": 144, "n_parameters": 43828456} +{"train_lr": 0.0005360813071670112, "train_loss": 3.3730815412591304, "test_loss": 0.9321919219060377, "test_acc1": 77.55200253570557, "test_acc5": 94.16200258209228, "epoch": 145, "n_parameters": 43828456} +{"train_lr": 0.0005309062983402611, "train_loss": 3.37657198357544, "test_loss": 0.9462394671458186, "test_acc1": 77.53400263854981, "test_acc5": 94.21400251708984, "epoch": 146, "n_parameters": 43828456} +{"train_lr": 0.0005257284485959572, "train_loss": 3.3732540743361463, "test_loss": 0.9490844325134249, "test_acc1": 77.39200262451172, "test_acc5": 94.19200238922119, "epoch": 147, "n_parameters": 43828456} +{"train_lr": 0.0005205483257436661, "train_loss": 3.375569152889206, "test_loss": 0.9486469725767771, "test_acc1": 77.61600263000489, "test_acc5": 94.19400249511719, "epoch": 148, "n_parameters": 43828456} +{"train_lr": 0.0005153664978422618, "train_loss": 3.3632407990648305, "test_loss": 0.9136840073448239, "test_acc1": 77.59200269470215, "test_acc5": 94.28400259094238, "epoch": 149, "n_parameters": 43828456} +{"train_lr": 0.0005101835331375457, "train_loss": 3.3633723387853514, "test_loss": 0.9164735525846481, "test_acc1": 77.7560024255371, "test_acc5": 94.42800267181397, "epoch": 150, "n_parameters": 43828456} +{"train_lr": 0.0005049999999999881, "train_loss": 3.3629541756819004, "test_loss": 0.9415579051005117, "test_acc1": 77.59800251068116, "test_acc5": 94.28000258636474, "epoch": 151, "n_parameters": 43828456} +{"train_lr": 0.0004998164668624689, "train_loss": 3.35460351144286, "test_loss": 0.9306120568829955, "test_acc1": 77.66000252105712, "test_acc5": 94.22400264343261, "epoch": 152, "n_parameters": 43828456} +{"train_lr": 0.0004946335021577291, "train_loss": 3.343298661611158, "test_loss": 0.92108660823468, "test_acc1": 77.68600233276368, "test_acc5": 94.23800246734619, "epoch": 153, "n_parameters": 43828456} +{"train_lr": 0.0004894516742563275, "train_loss": 3.3435933676054725, "test_loss": 0.954010147601366, "test_acc1": 77.54800233551025, "test_acc5": 94.28600252593994, "epoch": 154, "n_parameters": 43828456} +{"train_lr": 0.0004842715514040588, "train_loss": 3.3348226409188086, "test_loss": 0.9516026496209882, "test_acc1": 77.89800256439209, "test_acc5": 94.26400254577636, "epoch": 155, "n_parameters": 43828456} +{"train_lr": 0.00047909370165973703, "train_loss": 3.3408578028210063, "test_loss": 0.9110609110106122, "test_acc1": 77.99400273162841, "test_acc5": 94.47600248779297, "epoch": 156, "n_parameters": 43828456} +{"train_lr": 0.00047391869283298395, "train_loss": 3.3256244765911744, "test_loss": 0.9288593846740145, "test_acc1": 77.77000256195069, "test_acc5": 94.35000246582031, "epoch": 157, "n_parameters": 43828456} +{"train_lr": 0.0004687470924218306, "train_loss": 3.330846069420842, "test_loss": 0.9185091377885053, "test_acc1": 78.20600257171631, "test_acc5": 94.50800257751465, "epoch": 158, "n_parameters": 43828456} +{"train_lr": 0.0004635794675504931, "train_loss": 3.3241827873398457, "test_loss": 0.9001190307917017, "test_acc1": 78.3400025378418, "test_acc5": 94.55800242584229, "epoch": 159, "n_parameters": 43828456} +{"train_lr": 0.0004584163849073357, "train_loss": 3.3205887532467657, "test_loss": 0.9346032161830049, "test_acc1": 77.91600286224366, "test_acc5": 94.45200241607667, "epoch": 160, "n_parameters": 43828456} +{"train_lr": 0.0004532584106825094, "train_loss": 3.3167293313310013, "test_loss": 0.8974082152726073, "test_acc1": 78.37200259277344, "test_acc5": 94.54600266723632, "epoch": 161, "n_parameters": 43828456} +{"train_lr": 0.0004481061105060409, "train_loss": 3.299044067113043, "test_loss": 0.9303848467993013, "test_acc1": 78.37400243255615, "test_acc5": 94.49800252960205, "epoch": 162, "n_parameters": 43828456} +{"train_lr": 0.00044296004938566933, "train_loss": 3.3074429644335757, "test_loss": 0.896495423195037, "test_acc1": 78.47800247955323, "test_acc5": 94.5900026928711, "epoch": 163, "n_parameters": 43828456} +{"train_lr": 0.0004378207916450146, "train_loss": 3.310089571775197, "test_loss": 0.8921863926631032, "test_acc1": 78.36200253112793, "test_acc5": 94.58400254058837, "epoch": 164, "n_parameters": 43828456} +{"train_lr": 0.00043268890086160794, "train_loss": 3.30161196823648, "test_loss": 0.9164146695173148, "test_acc1": 78.38200258331298, "test_acc5": 94.56000238006592, "epoch": 165, "n_parameters": 43828456} +{"train_lr": 0.00042756493980507503, "train_loss": 3.3045586801642517, "test_loss": 0.8872262255260439, "test_acc1": 78.36800248535157, "test_acc5": 94.54800241638183, "epoch": 166, "n_parameters": 43828456} +{"train_lr": 0.0004224494703755201, "train_loss": 3.29059275950221, "test_loss": 0.9021174930261843, "test_acc1": 78.51800254241944, "test_acc5": 94.65600245056153, "epoch": 167, "n_parameters": 43828456} +{"train_lr": 0.00041734305354179923, "train_loss": 3.2827852184561896, "test_loss": 0.8976536243025101, "test_acc1": 78.55400259490966, "test_acc5": 94.66400258728028, "epoch": 168, "n_parameters": 43828456} +{"train_lr": 0.0004122462492800569, "train_loss": 3.2843481558832903, "test_loss": 0.899882247389266, "test_acc1": 78.40200238128662, "test_acc5": 94.7160025100708, "epoch": 169, "n_parameters": 43828456} +{"train_lr": 0.0004071596165123325, "train_loss": 3.279701977670431, "test_loss": 0.8990059329027479, "test_acc1": 78.82400235992432, "test_acc5": 94.71600220916748, "epoch": 170, "n_parameters": 43828456} +{"train_lr": 0.0004020837130452182, "train_loss": 3.2829832161168495, "test_loss": 0.8845067823475058, "test_acc1": 78.77800259002686, "test_acc5": 94.72200240814209, "epoch": 171, "n_parameters": 43828456} +{"train_lr": 0.00039701909550871056, "train_loss": 3.2659702186437722, "test_loss": 0.8845801966434176, "test_acc1": 78.55200264587403, "test_acc5": 94.70600268768311, "epoch": 172, "n_parameters": 43828456} +{"train_lr": 0.0003919663192952229, "train_loss": 3.2728428824556817, "test_loss": 0.894022795174158, "test_acc1": 78.8780026171875, "test_acc5": 94.76800236083984, "epoch": 173, "n_parameters": 43828456} +{"train_lr": 0.00038692593849859734, "train_loss": 3.257396948756836, "test_loss": 0.8837026148808725, "test_acc1": 78.59600274963378, "test_acc5": 94.76000258758545, "epoch": 174, "n_parameters": 43828456} +{"train_lr": 0.0003818985058534034, "train_loss": 3.2592653593213723, "test_loss": 0.8934039984914389, "test_acc1": 78.82600247283935, "test_acc5": 94.7840025704956, "epoch": 175, "n_parameters": 43828456} +{"train_lr": 0.0003768845726742596, "train_loss": 3.257832811855012, "test_loss": 0.8913430897801211, "test_acc1": 78.80400250457764, "test_acc5": 94.77400229522705, "epoch": 176, "n_parameters": 43828456} +{"train_lr": 0.0003718846887954506, "train_loss": 3.2498200758755638, "test_loss": 0.8885143809020519, "test_acc1": 78.60000230133056, "test_acc5": 94.76800283081054, "epoch": 177, "n_parameters": 43828456} +{"train_lr": 0.00036689940251057154, "train_loss": 3.2470016027454562, "test_loss": 0.9067335646938194, "test_acc1": 78.81200261169434, "test_acc5": 94.87000225708007, "epoch": 178, "n_parameters": 43828456} +{"train_lr": 0.0003619292605124837, "train_loss": 3.2401593819343977, "test_loss": 0.8910752252647371, "test_acc1": 78.82200256469727, "test_acc5": 94.95400254394531, "epoch": 179, "n_parameters": 43828456} +{"train_lr": 0.0003569748078332423, "train_loss": 3.235254437815276, "test_loss": 0.8760642763791662, "test_acc1": 79.02800241943359, "test_acc5": 94.87600240386963, "epoch": 180, "n_parameters": 43828456} +{"train_lr": 0.00035203658778439235, "train_loss": 3.2366264933685986, "test_loss": 0.8597533561740861, "test_acc1": 79.20800243530273, "test_acc5": 95.02200256072999, "epoch": 181, "n_parameters": 43828456} +{"train_lr": 0.0003471151418974503, "train_loss": 3.2304498217612814, "test_loss": 0.8859152090594624, "test_acc1": 79.0980024975586, "test_acc5": 94.95200273803711, "epoch": 182, "n_parameters": 43828456} +{"train_lr": 0.0003422110098644085, "train_loss": 3.222515353553301, "test_loss": 0.874570747103655, "test_acc1": 79.30200259033204, "test_acc5": 95.0180024533081, "epoch": 183, "n_parameters": 43828456} +{"train_lr": 0.0003373247294785742, "train_loss": 3.219474500067514, "test_loss": 0.8814413612990668, "test_acc1": 79.08800245574952, "test_acc5": 95.02600237426758, "epoch": 184, "n_parameters": 43828456} +{"train_lr": 0.0003324568365756944, "train_loss": 3.2137607185960673, "test_loss": 0.8555244006442301, "test_acc1": 79.53200241729736, "test_acc5": 95.07600273742676, "epoch": 185, "n_parameters": 43828456} +{"train_lr": 0.00032760786497508304, "train_loss": 3.2074150651764812, "test_loss": 0.8661215841544397, "test_acc1": 79.23600268280029, "test_acc5": 95.0160025466919, "epoch": 186, "n_parameters": 43828456} +{"train_lr": 0.00032277834642108216, "train_loss": 3.2133505442302575, "test_loss": 0.8659492091021754, "test_acc1": 79.38200253570557, "test_acc5": 95.0280025970459, "epoch": 187, "n_parameters": 43828456} +{"train_lr": 0.00031796881052486697, "train_loss": 3.1990893858132794, "test_loss": 0.8541260594219873, "test_acc1": 79.44200267608643, "test_acc5": 95.16400249145508, "epoch": 188, "n_parameters": 43828456} +{"train_lr": 0.0003131797847062025, "train_loss": 3.188957105032641, "test_loss": 0.8665892119434747, "test_acc1": 79.30400251342773, "test_acc5": 95.14000260864258, "epoch": 189, "n_parameters": 43828456} +{"train_lr": 0.0003084117941357799, "train_loss": 3.1984993767657346, "test_loss": 0.8491539595027765, "test_acc1": 79.49600268951416, "test_acc5": 95.09200234588623, "epoch": 190, "n_parameters": 43828456} +{"train_lr": 0.00030366536167747524, "train_loss": 3.1901556842928405, "test_loss": 0.8587293627135681, "test_acc1": 79.77400259796143, "test_acc5": 95.19600256988525, "epoch": 191, "n_parameters": 43828456} +{"train_lr": 0.00029894100783110664, "train_loss": 3.1837865673571373, "test_loss": 0.8394020700996573, "test_acc1": 79.49200254730225, "test_acc5": 95.22800264953614, "epoch": 192, "n_parameters": 43828456} +{"train_lr": 0.0002942392506752879, "train_loss": 3.183694891065812, "test_loss": 0.841343764441483, "test_acc1": 79.69000265716552, "test_acc5": 95.18200258636475, "epoch": 193, "n_parameters": 43828456} +{"train_lr": 0.0002895606058107011, "train_loss": 3.1665815110448645, "test_loss": 0.867133488822164, "test_acc1": 79.59000269348145, "test_acc5": 95.12600254821777, "epoch": 194, "n_parameters": 43828456} +{"train_lr": 0.0002849055863034561, "train_loss": 3.1697019450336716, "test_loss": 0.8571406473038774, "test_acc1": 79.66800244567871, "test_acc5": 95.21600248260498, "epoch": 195, "n_parameters": 43828456} +{"train_lr": 0.0002802747026289244, "train_loss": 3.1676701083243324, "test_loss": 0.845156718609911, "test_acc1": 79.81800249542236, "test_acc5": 95.31600245147705, "epoch": 196, "n_parameters": 43828456} +{"train_lr": 0.00027566846261567343, "train_loss": 3.1569516404355458, "test_loss": 0.8653314837226362, "test_acc1": 79.59600264373779, "test_acc5": 95.21000250488281, "epoch": 197, "n_parameters": 43828456} +{"train_lr": 0.00027108737138981483, "train_loss": 3.1557289779329185, "test_loss": 0.8465135334567591, "test_acc1": 79.93800245941162, "test_acc5": 95.28400256530762, "epoch": 198, "n_parameters": 43828456} +{"train_lr": 0.00026653193131964784, "train_loss": 3.149485457834485, "test_loss": 0.8302963718094609, "test_acc1": 79.84600245880127, "test_acc5": 95.32000272583008, "epoch": 199, "n_parameters": 43828456} +{"train_lr": 0.00026200264196050673, "train_loss": 3.1423743861518223, "test_loss": 0.8484784618697383, "test_acc1": 79.83200260986328, "test_acc5": 95.25400271270752, "epoch": 200, "n_parameters": 43828456} +{"train_lr": 0.00025750000000000143, "train_loss": 3.140519864541545, "test_loss": 0.8633345016701655, "test_acc1": 79.72800279785156, "test_acc5": 95.26200266357422, "epoch": 201, "n_parameters": 43828456} +{"train_lr": 0.0002530244992035622, "train_loss": 3.135343485217777, "test_loss": 0.8356428380039606, "test_acc1": 80.02400272705079, "test_acc5": 95.34200238586426, "epoch": 202, "n_parameters": 43828456} +{"train_lr": 0.00024857663036030185, "train_loss": 3.1327023195515245, "test_loss": 0.8308750932866876, "test_acc1": 80.04600245941162, "test_acc5": 95.41600265930175, "epoch": 203, "n_parameters": 43828456} +{"train_lr": 0.00024415688122914167, "train_loss": 3.1321594440441527, "test_loss": 0.8543426454293005, "test_acc1": 79.97200259674072, "test_acc5": 95.19400245391846, "epoch": 204, "n_parameters": 43828456} +{"train_lr": 0.00023976573648539732, "train_loss": 3.1202729703496686, "test_loss": 0.829171268438751, "test_acc1": 80.21200258300782, "test_acc5": 95.43000258911133, "epoch": 205, "n_parameters": 43828456} +{"train_lr": 0.0002354036776675575, "train_loss": 3.1162460420629103, "test_loss": 0.8219260743847399, "test_acc1": 80.20600252288818, "test_acc5": 95.4640023803711, "epoch": 206, "n_parameters": 43828456} +{"train_lr": 0.00023107118312454297, "train_loss": 3.1131907495544207, "test_loss": 0.822482783686031, "test_acc1": 80.2440023425293, "test_acc5": 95.4580023550415, "epoch": 207, "n_parameters": 43828456} +{"train_lr": 0.00022676872796319747, "train_loss": 3.1062747228393355, "test_loss": 0.8336714543402195, "test_acc1": 80.29000248718262, "test_acc5": 95.43000241943359, "epoch": 208, "n_parameters": 43828456} +{"train_lr": 0.00022249678399621184, "train_loss": 3.1014822115905756, "test_loss": 0.815823514691808, "test_acc1": 80.35600256896973, "test_acc5": 95.60400242858887, "epoch": 209, "n_parameters": 43828456} +{"train_lr": 0.00021825581969037202, "train_loss": 3.1034386837892205, "test_loss": 0.8249635600456686, "test_acc1": 80.51800258087158, "test_acc5": 95.51000242401123, "epoch": 210, "n_parameters": 43828456} +{"train_lr": 0.0002140463001152288, "train_loss": 3.0959707001368586, "test_loss": 0.8291958201337944, "test_acc1": 80.31800263916016, "test_acc5": 95.44000246124267, "epoch": 211, "n_parameters": 43828456} +{"train_lr": 0.00020986868689201908, "train_loss": 3.088287364545581, "test_loss": 0.8207209551650466, "test_acc1": 80.42800230377198, "test_acc5": 95.55200251190186, "epoch": 212, "n_parameters": 43828456} +{"train_lr": 0.00020572343814312388, "train_loss": 3.0876231656300366, "test_loss": 0.8293688499340506, "test_acc1": 80.42400240325928, "test_acc5": 95.44800259216309, "epoch": 213, "n_parameters": 43828456} +{"train_lr": 0.00020161100844177222, "train_loss": 3.0793499027987083, "test_loss": 0.818393826258905, "test_acc1": 80.51000268493652, "test_acc5": 95.54400259521485, "epoch": 214, "n_parameters": 43828456} +{"train_lr": 0.0001975318487622333, "train_loss": 3.080168511477306, "test_loss": 0.8149761926721443, "test_acc1": 80.59800236511231, "test_acc5": 95.59000252685547, "epoch": 215, "n_parameters": 43828456} +{"train_lr": 0.0001934864064303279, "train_loss": 3.075251001486485, "test_loss": 0.8164715947526874, "test_acc1": 80.67600225646973, "test_acc5": 95.46600253051759, "epoch": 216, "n_parameters": 43828456} +{"train_lr": 0.00018947512507439562, "train_loss": 3.071492094394686, "test_loss": 0.8267193429849364, "test_acc1": 80.29600254089355, "test_acc5": 95.60000252502441, "epoch": 217, "n_parameters": 43828456} +{"train_lr": 0.00018549844457663907, "train_loss": 3.062866894068192, "test_loss": 0.8057402298983299, "test_acc1": 80.51400226226806, "test_acc5": 95.62200248504638, "epoch": 218, "n_parameters": 43828456} +{"train_lr": 0.00018155680102489234, "train_loss": 3.0598498361407045, "test_loss": 0.8129286559467966, "test_acc1": 80.5400022064209, "test_acc5": 95.63200257934571, "epoch": 219, "n_parameters": 43828456} +{"train_lr": 0.00017765062666479713, "train_loss": 3.054426982820177, "test_loss": 0.8064805969144359, "test_acc1": 80.67200258758545, "test_acc5": 95.68800234039307, "epoch": 220, "n_parameters": 43828456} +{"train_lr": 0.0001737803498523614, "train_loss": 3.0419726880024567, "test_loss": 0.8091406153910088, "test_acc1": 80.78000266906739, "test_acc5": 95.65800230407714, "epoch": 221, "n_parameters": 43828456} +{"train_lr": 0.0001699463950070852, "train_loss": 3.0387052521050024, "test_loss": 0.7934513003988699, "test_acc1": 80.93400251861573, "test_acc5": 95.62000255004882, "epoch": 222, "n_parameters": 43828456} +{"train_lr": 0.00016614918256530037, "train_loss": 3.0330253927518043, "test_loss": 0.7909754108298909, "test_acc1": 80.82400255462646, "test_acc5": 95.7180025314331, "epoch": 223, "n_parameters": 43828456} +{"train_lr": 0.0001623891289341519, "train_loss": 3.0299172459198513, "test_loss": 0.8011983749315594, "test_acc1": 81.00600216918946, "test_acc5": 95.69600271606446, "epoch": 224, "n_parameters": 43828456} +{"train_lr": 0.00015866664644587948, "train_loss": 3.0246039728204503, "test_loss": 0.8026484502761653, "test_acc1": 81.01600246002197, "test_acc5": 95.66600276855469, "epoch": 225, "n_parameters": 43828456} +{"train_lr": 0.00015498214331266302, "train_loss": 3.0300946248044593, "test_loss": 0.8066537390378389, "test_acc1": 80.98400261749268, "test_acc5": 95.75200271972656, "epoch": 226, "n_parameters": 43828456} +{"train_lr": 0.00015133602358175863, "train_loss": 3.024133478756622, "test_loss": 0.7960004920535015, "test_acc1": 81.18200245117187, "test_acc5": 95.78000256866456, "epoch": 227, "n_parameters": 43828456} +{"train_lr": 0.00014772868709131358, "train_loss": 3.0166689240865763, "test_loss": 0.8058335373573231, "test_acc1": 81.07400240509033, "test_acc5": 95.74600266815186, "epoch": 228, "n_parameters": 43828456} +{"train_lr": 0.00014416052942639815, "train_loss": 3.0102446709843655, "test_loss": 0.7901193843872258, "test_acc1": 81.11200237792968, "test_acc5": 95.78800264404296, "epoch": 229, "n_parameters": 43828456} +{"train_lr": 0.0001406319418757283, "train_loss": 2.9945288558276912, "test_loss": 0.8101966211741621, "test_acc1": 81.07600264434815, "test_acc5": 95.75200256011964, "epoch": 230, "n_parameters": 43828456} +{"train_lr": 0.00013714331138869076, "train_loss": 3.000485167455235, "test_loss": 0.7940482976987506, "test_acc1": 81.2060022555542, "test_acc5": 95.81400240722657, "epoch": 231, "n_parameters": 43828456} +{"train_lr": 0.00013369502053292505, "train_loss": 2.9932397055230457, "test_loss": 0.7850601682157228, "test_acc1": 81.17200268829346, "test_acc5": 95.8180024017334, "epoch": 232, "n_parameters": 43828456} +{"train_lr": 0.00013028744745238475, "train_loss": 2.993076500382355, "test_loss": 0.798531908767693, "test_acc1": 81.12000265136719, "test_acc5": 95.75200255218506, "epoch": 233, "n_parameters": 43828456} +{"train_lr": 0.0001269209658258495, "train_loss": 2.986769229352331, "test_loss": 0.7948889149860903, "test_acc1": 81.30000266540527, "test_acc5": 95.85200253936767, "epoch": 234, "n_parameters": 43828456} +{"train_lr": 0.0001235959448259827, "train_loss": 2.9740767783160025, "test_loss": 0.786596400832588, "test_acc1": 81.28200249053955, "test_acc5": 95.89000266204835, "epoch": 235, "n_parameters": 43828456} +{"train_lr": 0.00012031274907879949, "train_loss": 2.974954658072534, "test_loss": 0.7807500168229594, "test_acc1": 81.33200260253906, "test_acc5": 95.92400258483887, "epoch": 236, "n_parameters": 43828456} +{"train_lr": 0.00011707173862371172, "train_loss": 2.9664233046636688, "test_loss": 0.7764692209435232, "test_acc1": 81.51400259185792, "test_acc5": 95.96800270355224, "epoch": 237, "n_parameters": 43828456} +{"train_lr": 0.00011387326887403272, "train_loss": 2.9712096613278685, "test_loss": 0.7785208808879057, "test_acc1": 81.37200250305176, "test_acc5": 95.93200264404297, "epoch": 238, "n_parameters": 43828456} +{"train_lr": 0.00011071769057802179, "train_loss": 2.964235989250344, "test_loss": 0.7722241165059985, "test_acc1": 81.34600258361816, "test_acc5": 95.93200260772706, "epoch": 239, "n_parameters": 43828456} +{"train_lr": 0.00010760534978039747, "train_loss": 2.9604151322782566, "test_loss": 0.7726788779325557, "test_acc1": 81.57800275543212, "test_acc5": 95.94600244262695, "epoch": 240, "n_parameters": 43828456} +{"train_lr": 0.00010453658778440302, "train_loss": 2.948845594359054, "test_loss": 0.7816981108802737, "test_acc1": 81.47000258087158, "test_acc5": 96.0060025164795, "epoch": 241, "n_parameters": 43828456} +{"train_lr": 0.0001015117411143637, "train_loss": 2.9444292469871796, "test_loss": 0.7851348462881464, "test_acc1": 81.48600264434815, "test_acc5": 96.00200265869141, "epoch": 242, "n_parameters": 43828456} +{"train_lr": 9.853114147881454e-05, "train_loss": 2.9346962252633273, "test_loss": 0.7911594625223767, "test_acc1": 81.56200260620118, "test_acc5": 96.00600252441406, "epoch": 243, "n_parameters": 43828456} +{"train_lr": 9.559511573409267e-05, "train_loss": 2.9365218362862544, "test_loss": 0.7698636437681589, "test_acc1": 81.70400236907959, "test_acc5": 96.09400255889892, "epoch": 244, "n_parameters": 43828456} +{"train_lr": 9.270398584849976e-05, "train_loss": 2.9264130744454766, "test_loss": 0.7848926215912356, "test_acc1": 81.66600261474609, "test_acc5": 95.98600254394532, "epoch": 245, "n_parameters": 43828456} +{"train_lr": 8.985806886701763e-05, "train_loss": 2.925116529924978, "test_loss": 0.7720592363991521, "test_acc1": 81.74600224212647, "test_acc5": 96.01000253082276, "epoch": 246, "n_parameters": 43828456} +{"train_lr": 8.705767687650155e-05, "train_loss": 2.9184530796907504, "test_loss": 0.7776503342796456, "test_acc1": 81.89800239318848, "test_acc5": 95.9720024545288, "epoch": 247, "n_parameters": 43828456} +{"train_lr": 8.430311697149993e-05, "train_loss": 2.925385836300423, "test_loss": 0.7683457447723909, "test_acc1": 81.82000245880127, "test_acc5": 96.0100023590088, "epoch": 248, "n_parameters": 43828456} +{"train_lr": 8.159469122054745e-05, "train_loss": 2.914377903826326, "test_loss": 0.7649565466651411, "test_acc1": 81.88800268066406, "test_acc5": 96.01000250061036, "epoch": 249, "n_parameters": 43828456} +{"train_lr": 7.893269663304691e-05, "train_loss": 2.912621623475393, "test_loss": 0.7598497653662255, "test_acc1": 81.91200268341065, "test_acc5": 96.06600225189209, "epoch": 250, "n_parameters": 43828456} +{"train_lr": 7.631742512670381e-05, "train_loss": 2.90083946398408, "test_loss": 0.7707628782725695, "test_acc1": 81.87200259338378, "test_acc5": 96.03600236175537, "epoch": 251, "n_parameters": 43828456} +{"train_lr": 7.37491634955067e-05, "train_loss": 2.8977543611963874, "test_loss": 0.7703541154888544, "test_acc1": 81.7660025238037, "test_acc5": 96.06400243896485, "epoch": 252, "n_parameters": 43828456} +{"train_lr": 7.122819337828824e-05, "train_loss": 2.89264885488031, "test_loss": 0.7649758028035815, "test_acc1": 81.98200256866456, "test_acc5": 96.08400253753662, "epoch": 253, "n_parameters": 43828456} +{"train_lr": 6.875479122782832e-05, "train_loss": 2.8855966343868267, "test_loss": 0.7640220555617954, "test_acc1": 81.94000253753661, "test_acc5": 96.09400251983642, "epoch": 254, "n_parameters": 43828456} +{"train_lr": 6.632922828055003e-05, "train_loss": 2.892802050252327, "test_loss": 0.7711384603471467, "test_acc1": 81.90800246185303, "test_acc5": 96.10400230072021, "epoch": 255, "n_parameters": 43828456} +{"train_lr": 6.395177052675899e-05, "train_loss": 2.887487537354874, "test_loss": 0.7653080781526638, "test_acc1": 81.96200239746094, "test_acc5": 96.14800256622314, "epoch": 256, "n_parameters": 43828456} +{"train_lr": 6.162267868149164e-05, "train_loss": 2.886486733738753, "test_loss": 0.7582747654029818, "test_acc1": 82.04600245391846, "test_acc5": 96.17400252441406, "epoch": 257, "n_parameters": 43828456} +{"train_lr": 5.934220815591336e-05, "train_loss": 2.8740152456849026, "test_loss": 0.7607887356796048, "test_acc1": 82.02200243286133, "test_acc5": 96.09800249786377, "epoch": 258, "n_parameters": 43828456} +{"train_lr": 5.7110609029320316e-05, "train_loss": 2.8709497841999685, "test_loss": 0.7685140270852682, "test_acc1": 82.05000256256103, "test_acc5": 96.14200241882324, "epoch": 259, "n_parameters": 43828456} +{"train_lr": 5.492812602170232e-05, "train_loss": 2.8718805989558747, "test_loss": 0.7556497064052206, "test_acc1": 82.13800244445801, "test_acc5": 96.13200260437011, "epoch": 260, "n_parameters": 43828456} +{"train_lr": 5.2794998466913834e-05, "train_loss": 2.8755046231426493, "test_loss": 0.7543124641207132, "test_acc1": 82.10600238708496, "test_acc5": 96.14600266571045, "epoch": 261, "n_parameters": 43828456} +{"train_lr": 5.0711460286429e-05, "train_loss": 2.8618844663567966, "test_loss": 0.7598070212160096, "test_acc1": 82.21200236450196, "test_acc5": 96.14200261260986, "epoch": 262, "n_parameters": 43828456} +{"train_lr": 4.8677739963691566e-05, "train_loss": 2.8658379548483137, "test_loss": 0.7678391258373405, "test_acc1": 82.1000024621582, "test_acc5": 96.18200244628906, "epoch": 263, "n_parameters": 43828456} +{"train_lr": 4.669406051905346e-05, "train_loss": 2.851769030939856, "test_loss": 0.7561409376900304, "test_acc1": 82.32000241607666, "test_acc5": 96.17000230682373, "epoch": 264, "n_parameters": 43828456} +{"train_lr": 4.476063948531632e-05, "train_loss": 2.855001873475947, "test_loss": 0.7582681168886748, "test_acc1": 82.2100026687622, "test_acc5": 96.1120025732422, "epoch": 265, "n_parameters": 43828456} +{"train_lr": 4.287768888388454e-05, "train_loss": 2.8481605243530397, "test_loss": 0.756630762282646, "test_acc1": 82.1680026348877, "test_acc5": 96.18800257049561, "epoch": 266, "n_parameters": 43828456} +{"train_lr": 4.1045415201513915e-05, "train_loss": 2.8442506338123508, "test_loss": 0.7524187495988427, "test_acc1": 82.34200247406005, "test_acc5": 96.14800243286133, "epoch": 267, "n_parameters": 43828456} +{"train_lr": 3.926401936765786e-05, "train_loss": 2.8438836292301914, "test_loss": 0.7598251539536498, "test_acc1": 82.25000265899658, "test_acc5": 96.12800256256104, "epoch": 268, "n_parameters": 43828456} +{"train_lr": 3.753369673244709e-05, "train_loss": 2.835710196615123, "test_loss": 0.7581932729843891, "test_acc1": 82.33800259765626, "test_acc5": 96.15400261566162, "epoch": 269, "n_parameters": 43828456} +{"train_lr": 3.585463704525412e-05, "train_loss": 2.836486374910215, "test_loss": 0.7480768543865645, "test_acc1": 82.53600251190186, "test_acc5": 96.23400247192383, "epoch": 270, "n_parameters": 43828456} +{"train_lr": 3.4227024433899046e-05, "train_loss": 2.8248973486663624, "test_loss": 0.746301263175679, "test_acc1": 82.37200260925293, "test_acc5": 96.19000249847412, "epoch": 271, "n_parameters": 43828456} +{"train_lr": 3.2651037384443736e-05, "train_loss": 2.827205050132162, "test_loss": 0.7546776476683039, "test_acc1": 82.41600257690429, "test_acc5": 96.2140023550415, "epoch": 272, "n_parameters": 43828456} +{"train_lr": 3.112684872162703e-05, "train_loss": 2.8282274445302957, "test_loss": 0.7492678855178934, "test_acc1": 82.46200258209228, "test_acc5": 96.22000227935791, "epoch": 273, "n_parameters": 43828456} +{"train_lr": 2.9654625589913e-05, "train_loss": 2.828869086363428, "test_loss": 0.7507447888228026, "test_acc1": 82.32200243469238, "test_acc5": 96.18600228088378, "epoch": 274, "n_parameters": 43828456} +{"train_lr": 2.8234529435159726e-05, "train_loss": 2.8205823621970953, "test_loss": 0.7511371948728056, "test_acc1": 82.37000228332519, "test_acc5": 96.24200262817382, "epoch": 275, "n_parameters": 43828456} +{"train_lr": 2.686671598691151e-05, "train_loss": 2.8219853477845853, "test_loss": 0.7520352702474955, "test_acc1": 82.52600265197754, "test_acc5": 96.2640023840332, "epoch": 276, "n_parameters": 43828456} +{"train_lr": 2.55513352413271e-05, "train_loss": 2.821345937945288, "test_loss": 0.7533919258099614, "test_acc1": 82.42000266265869, "test_acc5": 96.23000244628906, "epoch": 277, "n_parameters": 43828456} +{"train_lr": 2.4288531444729954e-05, "train_loss": 2.8163688606281077, "test_loss": 0.7491885941814292, "test_acc1": 82.58400241607666, "test_acc5": 96.23000238769531, "epoch": 278, "n_parameters": 43828456} +{"train_lr": 2.3078443077785567e-05, "train_loss": 2.813221277378732, "test_loss": 0.7494265378989053, "test_acc1": 82.53600228363037, "test_acc5": 96.26400250213624, "epoch": 279, "n_parameters": 43828456} +{"train_lr": 2.192120284031953e-05, "train_loss": 2.8020663919756643, "test_loss": 0.7474777674810453, "test_acc1": 82.48000269897462, "test_acc5": 96.23800238128662, "epoch": 280, "n_parameters": 43828456} +{"train_lr": 2.0816937636766537e-05, "train_loss": 2.806759949699104, "test_loss": 0.7420283644036814, "test_acc1": 82.57400256408691, "test_acc5": 96.28800225158692, "epoch": 281, "n_parameters": 43828456} +{"train_lr": 1.976576856224742e-05, "train_loss": 2.806652097238435, "test_loss": 0.7425406803800301, "test_acc1": 82.58200240539551, "test_acc5": 96.28400251800537, "epoch": 282, "n_parameters": 43828456} +{"train_lr": 1.8767810889299472e-05, "train_loss": 2.799239228276326, "test_loss": 0.7449737653474916, "test_acc1": 82.55400237854003, "test_acc5": 96.27000264770508, "epoch": 283, "n_parameters": 43828456} +{"train_lr": 1.7823174055225238e-05, "train_loss": 2.7943144837896123, "test_loss": 0.7472088876547236, "test_acc1": 82.60600242736817, "test_acc5": 96.29000253509521, "epoch": 284, "n_parameters": 43828456} +{"train_lr": 1.6931961650100128e-05, "train_loss": 2.7925528730038733, "test_loss": 0.7447522189468145, "test_acc1": 82.65200252777099, "test_acc5": 96.28800243652344, "epoch": 285, "n_parameters": 43828456} +{"train_lr": 1.609427140540658e-05, "train_loss": 2.794127329862375, "test_loss": 0.7418541793683262, "test_acc1": 82.60600261016846, "test_acc5": 96.2600024169922, "epoch": 286, "n_parameters": 43828456} +{"train_lr": 1.5310195183320784e-05, "train_loss": 2.7893906198173974, "test_loss": 0.7463443747185396, "test_acc1": 82.62200257324218, "test_acc5": 96.26800258026122, "epoch": 287, "n_parameters": 43828456} +{"train_lr": 1.4579818966635116e-05, "train_loss": 2.7909750436111795, "test_loss": 0.7453166262218447, "test_acc1": 82.6400023892212, "test_acc5": 96.3020024533081, "epoch": 288, "n_parameters": 43828456} +{"train_lr": 1.3903222849333426e-05, "train_loss": 2.787211366003747, "test_loss": 0.7441113504835151, "test_acc1": 82.71200266082764, "test_acc5": 96.28600260864258, "epoch": 289, "n_parameters": 43828456} +{"train_lr": 1.3280481027803718e-05, "train_loss": 2.793180447461889, "test_loss": 0.7431973262379566, "test_acc1": 82.60600239379883, "test_acc5": 96.27400243377686, "epoch": 290, "n_parameters": 43828456} +{"train_lr": 1.2711661792704427e-05, "train_loss": 2.7859898217076022, "test_loss": 0.7476624216545712, "test_acc1": 82.63400259429932, "test_acc5": 96.24600255371094, "epoch": 291, "n_parameters": 43828456} +{"train_lr": 1.2196827521475628e-05, "train_loss": 2.7786330526514496, "test_loss": 0.7412724735949076, "test_acc1": 82.72200234222412, "test_acc5": 96.26800225708008, "epoch": 292, "n_parameters": 43828456} +{"train_lr": 1.1736034671495227e-05, "train_loss": 2.7775498875063196, "test_loss": 0.7404749760912224, "test_acc1": 82.58400268676758, "test_acc5": 96.27600244354248, "epoch": 293, "n_parameters": 43828456} +{"train_lr": 1.1329333773893123e-05, "train_loss": 2.779184105120403, "test_loss": 0.7418796193193306, "test_acc1": 82.62600236328124, "test_acc5": 96.30000264770509, "epoch": 294, "n_parameters": 43828456} +{"train_lr": 1.0976769428005425e-05, "train_loss": 2.7824420047392375, "test_loss": 0.7429542196632335, "test_acc1": 82.66800262908936, "test_acc5": 96.2780024685669, "epoch": 295, "n_parameters": 43828456} +{"train_lr": 1.067838029648576e-05, "train_loss": 2.777515463417859, "test_loss": 0.7432056439080925, "test_acc1": 82.65800276184082, "test_acc5": 96.27800247558594, "epoch": 296, "n_parameters": 43828456} +{"train_lr": 1.0434199101065238e-05, "train_loss": 2.781061870493382, "test_loss": 0.7435647019495567, "test_acc1": 82.71200239562988, "test_acc5": 96.29200250854493, "epoch": 297, "n_parameters": 43828456} +{"train_lr": 1.0244252618963044e-05, "train_loss": 2.775228435484816, "test_loss": 0.7417802700039112, "test_acc1": 82.68400239105225, "test_acc5": 96.3320028503418, "epoch": 298, "n_parameters": 43828456} +{"train_lr": 1.0108561679951307e-05, "train_loss": 2.7741668985711394, "test_loss": 0.7412239588006879, "test_acc1": 82.72000266082763, "test_acc5": 96.31000251556397, "epoch": 299, "n_parameters": 43828456} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt new file mode 100644 index 000000000..f6518b832 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt @@ -0,0 +1,296 @@ +{"train_lr": 0.0006003999999999824, "train_loss": 6.158148388353755, "test_loss": 4.277949810028076, "test_acc1": 18.862000567932128, "test_acc5": 40.17000105072022, "epoch": 4, "n_parameters": 60989672} +{"train_lr": 0.0008002000000000078, "train_loss": 5.937452970601195, "test_loss": 3.7839350853905533, "test_acc1": 25.27600072906494, "test_acc5": 49.44000137054444, "epoch": 5, "n_parameters": 60989672} +{"train_lr": 0.0009993216197035084, "train_loss": 5.7390906439124825, "test_loss": 3.412686445496299, "test_acc1": 30.990000865631103, "test_acc5": 56.10200149261475, "epoch": 6, "n_parameters": 60989672} +{"train_lr": 0.000999023230572016, "train_loss": 5.530706957995082, "test_loss": 2.9716287323019723, "test_acc1": 37.67600102996826, "test_acc5": 63.71000182891846, "epoch": 7, "n_parameters": 60989672} +{"train_lr": 0.000998670666226098, "train_loss": 5.3541195670858945, "test_loss": 2.723381055123878, "test_acc1": 42.66600109924316, "test_acc5": 68.34800186676026, "epoch": 8, "n_parameters": 60989672} +{"train_lr": 0.0009982639653285214, "train_loss": 5.195926405090413, "test_loss": 2.5235817260814435, "test_acc1": 46.4220014263916, "test_acc5": 71.80800224639893, "epoch": 9, "n_parameters": 60989672} +{"train_lr": 0.0009978031724785232, "train_loss": 5.0673337423687075, "test_loss": 2.331098261204633, "test_acc1": 49.72800148101807, "test_acc5": 74.96000234466553, "epoch": 10, "n_parameters": 60989672} +{"train_lr": 0.000997288338207296, "train_loss": 4.936666867572913, "test_loss": 2.173138664527373, "test_acc1": 52.204001530456544, "test_acc5": 77.23600228302001, "epoch": 11, "n_parameters": 60989672} +{"train_lr": 0.0009967195189721821, "train_loss": 4.838517283030646, "test_loss": 2.0566823708288595, "test_acc1": 54.648001576538086, "test_acc5": 79.2960026940918, "epoch": 12, "n_parameters": 60989672} +{"train_lr": 0.0009960967771506664, "train_loss": 4.757746106286129, "test_loss": 1.9432192453832338, "test_acc1": 56.35600153778076, "test_acc5": 80.44000253967285, "epoch": 13, "n_parameters": 60989672} +{"train_lr": 0.0009954201810333753, "train_loss": 4.6723150867257095, "test_loss": 1.8867673273339416, "test_acc1": 57.72400153625488, "test_acc5": 81.81400225341797, "epoch": 14, "n_parameters": 60989672} +{"train_lr": 0.0009946898048166896, "train_loss": 4.586379401784816, "test_loss": 1.8466511725476293, "test_acc1": 59.24000169036865, "test_acc5": 82.77800257537842, "epoch": 15, "n_parameters": 60989672} +{"train_lr": 0.000993905728594591, "train_loss": 4.5324992415049286, "test_loss": 1.750637931354118, "test_acc1": 60.51800153564453, "test_acc5": 83.61000279296876, "epoch": 16, "n_parameters": 60989672} +{"train_lr": 0.0009930680383498827, "train_loss": 4.456481154588201, "test_loss": 1.7248268296772784, "test_acc1": 61.896001636657715, "test_acc5": 84.6080025845337, "epoch": 17, "n_parameters": 60989672} +{"train_lr": 0.0009921768259447902, "train_loss": 4.410177179711233, "test_loss": 1.6074233118331793, "test_acc1": 62.95000153198242, "test_acc5": 85.35400247558594, "epoch": 18, "n_parameters": 60989672} +{"train_lr": 0.0009912321891107068, "train_loss": 4.359238170224319, "test_loss": 1.6027564747315464, "test_acc1": 63.484001779174804, "test_acc5": 85.83800253753662, "epoch": 19, "n_parameters": 60989672} +{"train_lr": 0.000990234231437762, "train_loss": 4.31389854032454, "test_loss": 1.5420023281917428, "test_acc1": 64.17200186737061, "test_acc5": 86.40600254333496, "epoch": 20, "n_parameters": 60989672} +{"train_lr": 0.000989183062363242, "train_loss": 4.281499351219212, "test_loss": 1.540139424981493, "test_acc1": 64.98800162475585, "test_acc5": 86.67400270965577, "epoch": 21, "n_parameters": 60989672} +{"train_lr": 0.0009880787971596754, "train_loss": 4.2395555014661745, "test_loss": 1.5028245722254117, "test_acc1": 65.54800198669433, "test_acc5": 87.22400241516114, "epoch": 22, "n_parameters": 60989672} +{"train_lr": 0.0009869215569222388, "train_loss": 4.203923464583741, "test_loss": 1.46182041976488, "test_acc1": 66.16400188995361, "test_acc5": 87.65800252014161, "epoch": 23, "n_parameters": 60989672} +{"train_lr": 0.000985711468555267, "train_loss": 4.170404044010466, "test_loss": 1.4952296761400772, "test_acc1": 66.93800201232911, "test_acc5": 88.10200221282959, "epoch": 24, "n_parameters": 60989672} +{"train_lr": 0.0009844486647586856, "train_loss": 4.140664584607148, "test_loss": 1.4301488665920314, "test_acc1": 67.43400188751221, "test_acc5": 88.27000237243652, "epoch": 25, "n_parameters": 60989672} +{"train_lr": 0.00098313328401311, "train_loss": 4.113114574782664, "test_loss": 1.4378427720882676, "test_acc1": 67.62600221496582, "test_acc5": 88.57400248840332, "epoch": 26, "n_parameters": 60989672} +{"train_lr": 0.0009817654705648337, "train_loss": 4.091138135543544, "test_loss": 1.405995554544709, "test_acc1": 68.40000205718994, "test_acc5": 88.83800277313233, "epoch": 27, "n_parameters": 60989672} +{"train_lr": 0.0009803453744100898, "train_loss": 4.073841056473059, "test_loss": 1.3609686356150743, "test_acc1": 68.21400180480957, "test_acc5": 88.93000259399415, "epoch": 28, "n_parameters": 60989672} +{"train_lr": 0.0009788731512783825, "train_loss": 4.048439773628942, "test_loss": 1.4129166160569047, "test_acc1": 68.73800216156006, "test_acc5": 89.16200258331298, "epoch": 29, "n_parameters": 60989672} +{"train_lr": 0.00097734896261555, "train_loss": 4.0253494462663895, "test_loss": 1.3210766349326482, "test_acc1": 68.89400190490723, "test_acc5": 89.1540027597046, "epoch": 30, "n_parameters": 60989672} +{"train_lr": 0.0009757729755660996, "train_loss": 4.003196145943124, "test_loss": 1.3354949271588614, "test_acc1": 69.36800211883545, "test_acc5": 89.62800264770507, "epoch": 31, "n_parameters": 60989672} +{"train_lr": 0.000974145362954742, "train_loss": 3.98697232347217, "test_loss": 1.2987647099476871, "test_acc1": 69.92000221221925, "test_acc5": 89.95800242828369, "epoch": 32, "n_parameters": 60989672} +{"train_lr": 0.0009724663032675332, "train_loss": 3.964990110872842, "test_loss": 1.351498586887663, "test_acc1": 69.75600189483643, "test_acc5": 89.88000255218506, "epoch": 33, "n_parameters": 60989672} +{"train_lr": 0.000970735980632352, "train_loss": 3.9450734138107606, "test_loss": 1.2755234239227844, "test_acc1": 70.08600212249756, "test_acc5": 90.1800026171875, "epoch": 34, "n_parameters": 60989672} +{"train_lr": 0.0009689545847984843, "train_loss": 3.940138329847825, "test_loss": 1.2750714028423482, "test_acc1": 70.34600233642578, "test_acc5": 90.2140026083374, "epoch": 35, "n_parameters": 60989672} +{"train_lr": 0.000967122311116087, "train_loss": 3.9215298063225217, "test_loss": 1.2636170734961827, "test_acc1": 70.76400207366943, "test_acc5": 90.38800263061523, "epoch": 36, "n_parameters": 60989672} +{"train_lr": 0.000965239360514694, "train_loss": 3.900023940250837, "test_loss": 1.2321065989407627, "test_acc1": 70.97400215820312, "test_acc5": 90.52800253967285, "epoch": 37, "n_parameters": 60989672} +{"train_lr": 0.0009633059394809262, "train_loss": 3.8922137181154732, "test_loss": 1.2244497074773817, "test_acc1": 71.06800225921631, "test_acc5": 90.6980025704956, "epoch": 38, "n_parameters": 60989672} +{"train_lr": 0.0009613222600362934, "train_loss": 3.884443762395784, "test_loss": 1.2139731670419376, "test_acc1": 71.56600230224609, "test_acc5": 90.78000252563477, "epoch": 39, "n_parameters": 60989672} +{"train_lr": 0.0009592885397135909, "train_loss": 3.864244567071029, "test_loss": 1.2471119851777048, "test_acc1": 71.37400208953858, "test_acc5": 90.84600262542725, "epoch": 40, "n_parameters": 60989672} +{"train_lr": 0.0009572050015330907, "train_loss": 3.8541037435535426, "test_loss": 1.2114903127605265, "test_acc1": 71.71800230651856, "test_acc5": 91.09200257720947, "epoch": 41, "n_parameters": 60989672} +{"train_lr": 0.0009550718739782929, "train_loss": 3.8351017754140804, "test_loss": 1.1995136274984388, "test_acc1": 71.6700022906494, "test_acc5": 91.05800250396729, "epoch": 42, "n_parameters": 60989672} +{"train_lr": 0.0009528893909706948, "train_loss": 3.8285092096105755, "test_loss": 1.2148645174774257, "test_acc1": 71.78400245941162, "test_acc5": 91.03600241668701, "epoch": 43, "n_parameters": 60989672} +{"train_lr": 0.0009506577918441058, "train_loss": 3.8263932330002315, "test_loss": 1.1587275546608549, "test_acc1": 72.20200255981446, "test_acc5": 91.26000271362305, "epoch": 44, "n_parameters": 60989672} +{"train_lr": 0.0009483773213185082, "train_loss": 3.818322384671913, "test_loss": 1.1798846644885612, "test_acc1": 72.19400227203369, "test_acc5": 91.44600244995117, "epoch": 45, "n_parameters": 60989672} +{"train_lr": 0.0009460482294732177, "train_loss": 3.8062222790327387, "test_loss": 1.213668155625011, "test_acc1": 72.02000219787598, "test_acc5": 91.24800230407715, "epoch": 46, "n_parameters": 60989672} +{"train_lr": 0.000943670771719436, "train_loss": 3.798132690594351, "test_loss": 1.226429439403794, "test_acc1": 72.18600226165772, "test_acc5": 91.37400255493164, "epoch": 47, "n_parameters": 60989672} +{"train_lr": 0.0009412452087721683, "train_loss": 3.7729516542501016, "test_loss": 1.148477112479282, "test_acc1": 72.41000243286133, "test_acc5": 91.58200239776612, "epoch": 48, "n_parameters": 60989672} +{"train_lr": 0.0009387718066217019, "train_loss": 3.775033924410002, "test_loss": 1.2358699881217696, "test_acc1": 72.39200234680176, "test_acc5": 91.28400265686035, "epoch": 49, "n_parameters": 60989672} +{"train_lr": 0.000936250836504503, "train_loss": 3.7776100693656196, "test_loss": 1.1606811348235968, "test_acc1": 72.46000226593017, "test_acc5": 91.65800247589111, "epoch": 50, "n_parameters": 60989672} +{"train_lr": 0.0009336825748732897, "train_loss": 3.7612423199257976, "test_loss": 1.172486638932517, "test_acc1": 72.67800231964111, "test_acc5": 91.71000267852783, "epoch": 51, "n_parameters": 60989672} +{"train_lr": 0.0009310673033669664, "train_loss": 3.7430023701785564, "test_loss": 1.1725434724128607, "test_acc1": 72.74200245758057, "test_acc5": 91.74000270721436, "epoch": 52, "n_parameters": 60989672} +{"train_lr": 0.0009284053087794627, "train_loss": 3.7508955196939784, "test_loss": 1.182446431707252, "test_acc1": 72.92600251922607, "test_acc5": 91.88200268981933, "epoch": 53, "n_parameters": 60989672} +{"train_lr": 0.0009256968830284788, "train_loss": 3.72656802303023, "test_loss": 1.1463159277583614, "test_acc1": 72.88400226409912, "test_acc5": 91.95000266387939, "epoch": 54, "n_parameters": 60989672} +{"train_lr": 0.0009229423231234935, "train_loss": 3.727430302080967, "test_loss": 1.1582675233031765, "test_acc1": 73.09400233062745, "test_acc5": 91.86600243652343, "epoch": 55, "n_parameters": 60989672} +{"train_lr": 0.0009201419311329745, "train_loss": 3.7193971170510034, "test_loss": 1.1191822115444776, "test_acc1": 73.35200244781494, "test_acc5": 92.14600266143799, "epoch": 56, "n_parameters": 60989672} +{"train_lr": 0.0009172960141514878, "train_loss": 3.713040031689248, "test_loss": 1.1282780913240982, "test_acc1": 73.26000233489991, "test_acc5": 92.18000257171632, "epoch": 57, "n_parameters": 60989672} +{"train_lr": 0.0009144048842658995, "train_loss": 3.7117648674048587, "test_loss": 1.1049076672078986, "test_acc1": 73.61400209838867, "test_acc5": 92.12600237365723, "epoch": 58, "n_parameters": 60989672} +{"train_lr": 0.0009114688585212051, "train_loss": 3.700605339736199, "test_loss": 1.1303838378552236, "test_acc1": 73.6260026272583, "test_acc5": 92.18600282501221, "epoch": 59, "n_parameters": 60989672} +{"train_lr": 0.0009084882588856559, "train_loss": 3.697006997516115, "test_loss": 1.0831524937441854, "test_acc1": 73.67600257293701, "test_acc5": 92.37600241271973, "epoch": 60, "n_parameters": 60989672} +{"train_lr": 0.0009054634122156225, "train_loss": 3.686516508019323, "test_loss": 1.1263062258561451, "test_acc1": 73.62000242340088, "test_acc5": 92.29600251617431, "epoch": 61, "n_parameters": 60989672} +{"train_lr": 0.0009023946502195918, "train_loss": 3.678263675037334, "test_loss": 1.1577911381468629, "test_acc1": 73.7660025, "test_acc5": 92.18000269714355, "epoch": 62, "n_parameters": 60989672} +{"train_lr": 0.0008992823094219693, "train_loss": 3.6733636188326027, "test_loss": 1.123014034421155, "test_acc1": 73.67400262664795, "test_acc5": 92.10800252746581, "epoch": 63, "n_parameters": 60989672} +{"train_lr": 0.0008961267311259657, "train_loss": 3.6708016860828123, "test_loss": 1.1247971123366645, "test_acc1": 74.25000254852294, "test_acc5": 92.25600217346191, "epoch": 64, "n_parameters": 60989672} +{"train_lr": 0.0008929282613763057, "train_loss": 3.6720167949712343, "test_loss": 1.1084634448316963, "test_acc1": 73.96000241363525, "test_acc5": 92.47000264556885, "epoch": 65, "n_parameters": 60989672} +{"train_lr": 0.0008896872509212006, "train_loss": 3.6621863252634435, "test_loss": 1.1021088340291472, "test_acc1": 74.07400257598877, "test_acc5": 92.53400270355225, "epoch": 66, "n_parameters": 60989672} +{"train_lr": 0.0008864040551740224, "train_loss": 3.6547864693627177, "test_loss": 1.0669705241241239, "test_acc1": 74.05200245422364, "test_acc5": 92.48200270599365, "epoch": 67, "n_parameters": 60989672} +{"train_lr": 0.0008830790341741554, "train_loss": 3.6449028973242075, "test_loss": 1.0942825684041688, "test_acc1": 74.30600254882812, "test_acc5": 92.41400247619629, "epoch": 68, "n_parameters": 60989672} +{"train_lr": 0.000879712552547612, "train_loss": 3.645824326361588, "test_loss": 1.0953897652075146, "test_acc1": 73.9860021862793, "test_acc5": 92.57000219726562, "epoch": 69, "n_parameters": 60989672} +{"train_lr": 0.0008763049794670927, "train_loss": 3.6350556443825806, "test_loss": 1.0907663174650886, "test_acc1": 74.37400235473633, "test_acc5": 92.68600240875244, "epoch": 70, "n_parameters": 60989672} +{"train_lr": 0.0008728566886112912, "train_loss": 3.626413371518171, "test_loss": 1.109173549395619, "test_acc1": 74.18600243347169, "test_acc5": 92.53000274139404, "epoch": 71, "n_parameters": 60989672} +{"train_lr": 0.000869368058124286, "train_loss": 3.6318547675411383, "test_loss": 1.058843763150049, "test_acc1": 74.4160026776123, "test_acc5": 92.83400257080078, "epoch": 72, "n_parameters": 60989672} +{"train_lr": 0.0008658394705736102, "train_loss": 3.6218572786147836, "test_loss": 1.1082475065733448, "test_acc1": 74.28600252410888, "test_acc5": 92.65400267486572, "epoch": 73, "n_parameters": 60989672} +{"train_lr": 0.0008622713129087039, "train_loss": 3.6138355341746653, "test_loss": 1.0676598564693422, "test_acc1": 74.83800264312744, "test_acc5": 92.81000235900879, "epoch": 74, "n_parameters": 60989672} +{"train_lr": 0.0008586639764182332, "train_loss": 3.6141983036228793, "test_loss": 1.0479258726717848, "test_acc1": 74.83600237579346, "test_acc5": 92.9080026473999, "epoch": 75, "n_parameters": 60989672} +{"train_lr": 0.0008550178566873157, "train_loss": 3.6144206770699467, "test_loss": 1.0288001283100157, "test_acc1": 74.90400265075684, "test_acc5": 92.85600222290039, "epoch": 76, "n_parameters": 60989672} +{"train_lr": 0.0008513333535541272, "train_loss": 3.604775544693716, "test_loss": 1.0617519865433376, "test_acc1": 74.87400257019043, "test_acc5": 92.85000236419678, "epoch": 77, "n_parameters": 60989672} +{"train_lr": 0.0008476108710658582, "train_loss": 3.6007663054193713, "test_loss": 1.067770347337831, "test_acc1": 74.7400025152588, "test_acc5": 92.74200273498535, "epoch": 78, "n_parameters": 60989672} +{"train_lr": 0.00084385081743468, "train_loss": 3.5981484912663437, "test_loss": 1.063223027595968, "test_acc1": 74.69000254302979, "test_acc5": 92.75400245239258, "epoch": 79, "n_parameters": 60989672} +{"train_lr": 0.0008400536049929256, "train_loss": 3.589818451139662, "test_loss": 1.0437602593817494, "test_acc1": 75.06400253082275, "test_acc5": 93.07800261291504, "epoch": 80, "n_parameters": 60989672} +{"train_lr": 0.0008362196501476587, "train_loss": 3.5860439914164783, "test_loss": 1.0577138919721951, "test_acc1": 74.9040026437378, "test_acc5": 92.95400245483398, "epoch": 81, "n_parameters": 60989672} +{"train_lr": 0.0008323493733352106, "train_loss": 3.592616786630891, "test_loss": 1.0920544158328662, "test_acc1": 75.15400265594482, "test_acc5": 92.93400248962402, "epoch": 82, "n_parameters": 60989672} +{"train_lr": 0.0008284431989751196, "train_loss": 3.5742496197029268, "test_loss": 1.0435146853101975, "test_acc1": 74.94000219360352, "test_acc5": 92.9920025076294, "epoch": 83, "n_parameters": 60989672} +{"train_lr": 0.0008245015554233518, "train_loss": 3.572788352183968, "test_loss": 1.0865417396028836, "test_acc1": 75.16000239105225, "test_acc5": 92.82800262329101, "epoch": 84, "n_parameters": 60989672} +{"train_lr": 0.0008205248749255873, "train_loss": 3.564737607844823, "test_loss": 1.0338994052374002, "test_acc1": 75.22800251647949, "test_acc5": 92.94800240356446, "epoch": 85, "n_parameters": 60989672} +{"train_lr": 0.0008165135935696841, "train_loss": 3.560092433822527, "test_loss": 1.0460455831930493, "test_acc1": 75.13600251037597, "test_acc5": 93.15000241485596, "epoch": 86, "n_parameters": 60989672} +{"train_lr": 0.0008124681512377846, "train_loss": 3.566735852465069, "test_loss": 1.0500586142368389, "test_acc1": 75.40200252655029, "test_acc5": 93.11600249237061, "epoch": 87, "n_parameters": 60989672} +{"train_lr": 0.0008083889915582182, "train_loss": 3.5577668197673384, "test_loss": 1.0343616831709037, "test_acc1": 75.17600235351563, "test_acc5": 93.04800240783692, "epoch": 88, "n_parameters": 60989672} +{"train_lr": 0.0008042765618568846, "train_loss": 3.554107147250339, "test_loss": 1.0311782390556552, "test_acc1": 75.28000253265381, "test_acc5": 93.11200254455566, "epoch": 89, "n_parameters": 60989672} +{"train_lr": 0.0008001313131079711, "train_loss": 3.5486227973854896, "test_loss": 1.0464074943553319, "test_acc1": 75.7040025881958, "test_acc5": 93.29000251464844, "epoch": 90, "n_parameters": 60989672} +{"train_lr": 0.0007959536998847494, "train_loss": 3.5479952434984616, "test_loss": 1.0139798829049775, "test_acc1": 75.5920025527954, "test_acc5": 93.25200262786865, "epoch": 91, "n_parameters": 60989672} +{"train_lr": 0.0007917441803096098, "train_loss": 3.53395355622069, "test_loss": 1.0070054788481106, "test_acc1": 75.80000227111816, "test_acc5": 93.33200230743408, "epoch": 92, "n_parameters": 60989672} +{"train_lr": 0.0007875032160038205, "train_loss": 3.5300739698058408, "test_loss": 1.0152402257151676, "test_acc1": 75.64400260437012, "test_acc5": 93.19400244384765, "epoch": 93, "n_parameters": 60989672} +{"train_lr": 0.0007832312720368117, "train_loss": 3.5216863245653403, "test_loss": 1.021143906721563, "test_acc1": 75.85600225494385, "test_acc5": 93.39200232177734, "epoch": 94, "n_parameters": 60989672} +{"train_lr": 0.0007789288168754665, "train_loss": 3.5311179507693513, "test_loss": 0.995040629962177, "test_acc1": 75.89800226593017, "test_acc5": 93.5120023425293, "epoch": 95, "n_parameters": 60989672} +{"train_lr": 0.0007745963223324492, "train_loss": 3.5308764428734114, "test_loss": 1.0336688842737314, "test_acc1": 75.77200240661621, "test_acc5": 93.3560026296997, "epoch": 96, "n_parameters": 60989672} +{"train_lr": 0.0007702342635146132, "train_loss": 3.5302953592879023, "test_loss": 0.9912662822188754, "test_acc1": 75.94400248443604, "test_acc5": 93.44600264404296, "epoch": 97, "n_parameters": 60989672} +{"train_lr": 0.0007658431187708385, "train_loss": 3.5052075837965875, "test_loss": 1.0058987860878308, "test_acc1": 75.76600238983154, "test_acc5": 93.49600257293702, "epoch": 98, "n_parameters": 60989672} +{"train_lr": 0.0007614233696396923, "train_loss": 3.515190725120233, "test_loss": 0.9878947767570163, "test_acc1": 76.02400230316162, "test_acc5": 93.54600265747071, "epoch": 99, "n_parameters": 60989672} +{"train_lr": 0.0007569755007964469, "train_loss": 3.5154870524942923, "test_loss": 0.9958579787476496, "test_acc1": 75.93800236816406, "test_acc5": 93.54800251983643, "epoch": 100, "n_parameters": 60989672} +{"train_lr": 0.0007525000000000169, "train_loss": 3.5007948554295907, "test_loss": 1.0095245597714728, "test_acc1": 75.96400247894287, "test_acc5": 93.4700027468872, "epoch": 101, "n_parameters": 60989672} +{"train_lr": 0.0007479973580395145, "train_loss": 3.498424925773645, "test_loss": 1.0112809942978802, "test_acc1": 76.06800250457763, "test_acc5": 93.62200248413086, "epoch": 102, "n_parameters": 60989672} +{"train_lr": 0.0007434680686803327, "train_loss": 3.4978087945140715, "test_loss": 0.9972788688134063, "test_acc1": 76.07200255157471, "test_acc5": 93.5320025668335, "epoch": 103, "n_parameters": 60989672} +{"train_lr": 0.0007389126286101685, "train_loss": 3.4905188179416338, "test_loss": 1.0008330017779812, "test_acc1": 75.96200264892578, "test_acc5": 93.46200235046386, "epoch": 104, "n_parameters": 60989672} +{"train_lr": 0.0007343315373843357, "train_loss": 3.4936678997880453, "test_loss": 1.0030241014830994, "test_acc1": 75.93200232513428, "test_acc5": 93.40800245758057, "epoch": 105, "n_parameters": 60989672} +{"train_lr": 0.0007297252973710595, "train_loss": 3.489773926641539, "test_loss": 0.99713811007413, "test_acc1": 76.09000248657226, "test_acc5": 93.63400247711182, "epoch": 106, "n_parameters": 60989672} +{"train_lr": 0.0007250944136965275, "train_loss": 3.4851770394330592, "test_loss": 1.0096940024558343, "test_acc1": 76.18000224578857, "test_acc5": 93.61800255249024, "epoch": 107, "n_parameters": 60989672} +{"train_lr": 0.0007204393941893078, "train_loss": 3.480950635828846, "test_loss": 1.0067474330690773, "test_acc1": 76.25200250946045, "test_acc5": 93.53200234863282, "epoch": 108, "n_parameters": 60989672} +{"train_lr": 0.0007157607493246968, "train_loss": 3.4740340739703006, "test_loss": 0.983274185296261, "test_acc1": 76.30400230285645, "test_acc5": 93.61800245239257, "epoch": 109, "n_parameters": 60989672} +{"train_lr": 0.0007110589921689151, "train_loss": 3.4827688680492717, "test_loss": 0.9635417997611292, "test_acc1": 76.41200258728027, "test_acc5": 93.77200270843505, "epoch": 110, "n_parameters": 60989672} +{"train_lr": 0.0007063346383225066, "train_loss": 3.465387133040207, "test_loss": 0.9832256772752964, "test_acc1": 76.46600266845704, "test_acc5": 93.71400226348877, "epoch": 111, "n_parameters": 60989672} +{"train_lr": 0.0007015882058641976, "train_loss": 3.461395466689774, "test_loss": 0.989784830786062, "test_acc1": 76.38200244934082, "test_acc5": 93.66800240264892, "epoch": 112, "n_parameters": 60989672} +{"train_lr": 0.0006968202152938009, "train_loss": 3.4603213548040888, "test_loss": 1.0029593893524371, "test_acc1": 76.43400275299072, "test_acc5": 93.7480022668457, "epoch": 113, "n_parameters": 60989672} +{"train_lr": 0.0006920311894751397, "train_loss": 3.4512128793030716, "test_loss": 0.9721983488310467, "test_acc1": 76.68800247070313, "test_acc5": 93.85400257019043, "epoch": 114, "n_parameters": 60989672} +{"train_lr": 0.0006872216535789267, "train_loss": 3.448369121582483, "test_loss": 0.9708850027033777, "test_acc1": 76.84000274291992, "test_acc5": 93.7300024798584, "epoch": 115, "n_parameters": 60989672} +{"train_lr": 0.0006823921350249367, "train_loss": 3.449241964329633, "test_loss": 0.9721345877782865, "test_acc1": 76.78200256958007, "test_acc5": 93.7680024975586, "epoch": 116, "n_parameters": 60989672} +{"train_lr": 0.0006775431634242846, "train_loss": 3.4414023661927926, "test_loss": 0.9605107633679202, "test_acc1": 76.69400247009277, "test_acc5": 93.86000259429932, "epoch": 117, "n_parameters": 60989672} +{"train_lr": 0.0006726752705214028, "train_loss": 3.451552047920551, "test_loss": 0.9789487331202535, "test_acc1": 76.68600248809814, "test_acc5": 93.81800254974365, "epoch": 118, "n_parameters": 60989672} +{"train_lr": 0.0006677889901356115, "train_loss": 3.4337588742101413, "test_loss": 0.9672436454530918, "test_acc1": 76.57400240570068, "test_acc5": 93.83400237060548, "epoch": 119, "n_parameters": 60989672} +{"train_lr": 0.0006628848581025351, "train_loss": 3.433483381137002, "test_loss": 0.9767009443180128, "test_acc1": 76.9100024557495, "test_acc5": 93.81400231658935, "epoch": 120, "n_parameters": 60989672} +{"train_lr": 0.0006579634122155856, "train_loss": 3.4206340747366517, "test_loss": 0.9760015105659311, "test_acc1": 76.8640025982666, "test_acc5": 93.94000244995117, "epoch": 121, "n_parameters": 60989672} +{"train_lr": 0.0006530251921667783, "train_loss": 3.416060979036595, "test_loss": 0.9541641176875794, "test_acc1": 76.84000268615722, "test_acc5": 94.02200239562988, "epoch": 122, "n_parameters": 60989672} +{"train_lr": 0.0006480707394875038, "train_loss": 3.4244995061680377, "test_loss": 0.9832752362796755, "test_acc1": 77.03000258148194, "test_acc5": 94.06400260162353, "epoch": 123, "n_parameters": 60989672} +{"train_lr": 0.0006431005974894059, "train_loss": 3.4172177047942944, "test_loss": 0.9598119328870918, "test_acc1": 77.10800252166749, "test_acc5": 94.02000256164551, "epoch": 124, "n_parameters": 60989672} +{"train_lr": 0.000638115311204536, "train_loss": 3.4124045354618633, "test_loss": 0.9800732345743612, "test_acc1": 76.94800251098633, "test_acc5": 93.8400023727417, "epoch": 125, "n_parameters": 60989672} +{"train_lr": 0.0006331154273257683, "train_loss": 3.4095172339992272, "test_loss": 0.9460692164121252, "test_acc1": 77.20000245605469, "test_acc5": 94.10000227813721, "epoch": 126, "n_parameters": 60989672} +{"train_lr": 0.0006281014941466044, "train_loss": 3.4023984220626353, "test_loss": 0.946274447960384, "test_acc1": 77.43600233734131, "test_acc5": 94.18800261199951, "epoch": 127, "n_parameters": 60989672} +{"train_lr": 0.000623074061501409, "train_loss": 3.3977306710301542, "test_loss": 0.9430693924201258, "test_acc1": 77.41200254821777, "test_acc5": 94.18600266296387, "epoch": 128, "n_parameters": 60989672} +{"train_lr": 0.0006180336807047859, "train_loss": 3.3952016545047194, "test_loss": 0.9578439831507929, "test_acc1": 77.18600269744873, "test_acc5": 94.0680026071167, "epoch": 129, "n_parameters": 60989672} +{"train_lr": 0.0006129809044912789, "train_loss": 3.388441337026852, "test_loss": 0.9507078000090339, "test_acc1": 77.54600249389648, "test_acc5": 94.16000264434814, "epoch": 130, "n_parameters": 60989672} +{"train_lr": 0.0006079162869547817, "train_loss": 3.39665844664871, "test_loss": 0.9444427210273165, "test_acc1": 77.39200239959717, "test_acc5": 94.04200257476806, "epoch": 131, "n_parameters": 60989672} +{"train_lr": 0.0006028403834876773, "train_loss": 3.3962015076030454, "test_loss": 0.9394521055122217, "test_acc1": 77.19600257598877, "test_acc5": 94.17800249847411, "epoch": 132, "n_parameters": 60989672} +{"train_lr": 0.0005977537507199184, "train_loss": 3.3814962337271486, "test_loss": 0.9372265608699033, "test_acc1": 77.61000250488281, "test_acc5": 94.21200242126464, "epoch": 133, "n_parameters": 60989672} +{"train_lr": 0.0005926569464581887, "train_loss": 3.3797845649633476, "test_loss": 0.9416083377419096, "test_acc1": 77.55400255828857, "test_acc5": 94.11600278778076, "epoch": 134, "n_parameters": 60989672} +{"train_lr": 0.0005875505296244566, "train_loss": 3.3683774115251217, "test_loss": 0.9284995559490088, "test_acc1": 77.82600251770019, "test_acc5": 94.29000265747071, "epoch": 135, "n_parameters": 60989672} +{"train_lr": 0.0005824350601949218, "train_loss": 3.37115420772732, "test_loss": 0.9421935149214484, "test_acc1": 77.67400250152588, "test_acc5": 94.21600254394531, "epoch": 136, "n_parameters": 60989672} +{"train_lr": 0.0005773110991383895, "train_loss": 3.365361718655967, "test_loss": 0.958660934571967, "test_acc1": 77.64800271850586, "test_acc5": 94.30800261199951, "epoch": 137, "n_parameters": 60989672} +{"train_lr": 0.0005721792083549796, "train_loss": 3.362530420616948, "test_loss": 0.9310002601282164, "test_acc1": 77.78400268096924, "test_acc5": 94.3380024371338, "epoch": 138, "n_parameters": 60989672} +{"train_lr": 0.0005670399506143469, "train_loss": 3.357231179789769, "test_loss": 0.9203438027338549, "test_acc1": 77.66000228698731, "test_acc5": 94.27600237609863, "epoch": 139, "n_parameters": 60989672} +{"train_lr": 0.0005618938894939768, "train_loss": 3.3603273730317085, "test_loss": 0.9523274468427355, "test_acc1": 77.6120023461914, "test_acc5": 94.33200257751464, "epoch": 140, "n_parameters": 60989672} +{"train_lr": 0.0005567415893175016, "train_loss": 3.3520788632922893, "test_loss": 0.9276941821656444, "test_acc1": 77.85200272857666, "test_acc5": 94.34400258880615, "epoch": 141, "n_parameters": 60989672} +{"train_lr": 0.0005515836150926655, "train_loss": 3.34560566109052, "test_loss": 0.9208671777988925, "test_acc1": 77.94600234985352, "test_acc5": 94.44000272125244, "epoch": 142, "n_parameters": 60989672} +{"train_lr": 0.0005464205324494959, "train_loss": 3.339045861499201, "test_loss": 0.9192491720120112, "test_acc1": 77.85800246520996, "test_acc5": 94.43800247711182, "epoch": 143, "n_parameters": 60989672} +{"train_lr": 0.0005412529075781865, "train_loss": 3.345427847975831, "test_loss": 0.9089156407298464, "test_acc1": 78.04400269897461, "test_acc5": 94.43000235717773, "epoch": 144, "n_parameters": 60989672} +{"train_lr": 0.0005360813071670112, "train_loss": 3.339799170728496, "test_loss": 0.901499938671336, "test_acc1": 78.06000241088867, "test_acc5": 94.43800253570556, "epoch": 145, "n_parameters": 60989672} +{"train_lr": 0.0005309062983402611, "train_loss": 3.3289729119609777, "test_loss": 0.9200800937233549, "test_acc1": 77.9460025402832, "test_acc5": 94.35400232543945, "epoch": 146, "n_parameters": 60989672} +{"train_lr": 0.0005257284485959572, "train_loss": 3.335118111291473, "test_loss": 0.9426120821047913, "test_acc1": 77.7900023373413, "test_acc5": 94.5140026965332, "epoch": 147, "n_parameters": 60989672} +{"train_lr": 0.0005205483257436661, "train_loss": 3.3293810628420064, "test_loss": 0.8829439116472547, "test_acc1": 78.29600239593506, "test_acc5": 94.59400255767822, "epoch": 148, "n_parameters": 60989672} +{"train_lr": 0.0005153664978422618, "train_loss": 3.3197048780657976, "test_loss": 0.8955189486344656, "test_acc1": 78.15200260314941, "test_acc5": 94.47200246948242, "epoch": 149, "n_parameters": 60989672} +{"train_lr": 0.0005101835331375457, "train_loss": 3.3174965478700225, "test_loss": 0.8922039197024071, "test_acc1": 78.40400212280274, "test_acc5": 94.63000260345459, "epoch": 150, "n_parameters": 60989672} +{"train_lr": 0.0005049999999999881, "train_loss": 3.3078986459332023, "test_loss": 0.9012141249170809, "test_acc1": 78.27000256317139, "test_acc5": 94.56000262023926, "epoch": 151, "n_parameters": 60989672} +{"train_lr": 0.0004998164668624689, "train_loss": 3.3066659861926935, "test_loss": 0.8929724996965943, "test_acc1": 78.48800249725342, "test_acc5": 94.5560025543213, "epoch": 152, "n_parameters": 60989672} +{"train_lr": 0.0004946335021577291, "train_loss": 3.3082636502578104, "test_loss": 0.9150928831235929, "test_acc1": 78.19600248016357, "test_acc5": 94.5860026296997, "epoch": 153, "n_parameters": 60989672} +{"train_lr": 0.0004894516742563275, "train_loss": 3.299612616296771, "test_loss": 0.9024629638050542, "test_acc1": 78.41000277191162, "test_acc5": 94.66200242706299, "epoch": 154, "n_parameters": 60989672} +{"train_lr": 0.0004842715514040588, "train_loss": 3.2946839235502656, "test_loss": 0.9044944334662322, "test_acc1": 78.61400247924804, "test_acc5": 94.65400278717041, "epoch": 155, "n_parameters": 60989672} +{"train_lr": 0.00047909370165973703, "train_loss": 3.290712795478644, "test_loss": 0.8801710047956669, "test_acc1": 78.71200256744385, "test_acc5": 94.626002734375, "epoch": 156, "n_parameters": 60989672} +{"train_lr": 0.00047391869283298395, "train_loss": 3.2905323025253086, "test_loss": 0.9047459623578823, "test_acc1": 78.52600239196778, "test_acc5": 94.7120025064087, "epoch": 157, "n_parameters": 60989672} +{"train_lr": 0.0004687470924218306, "train_loss": 3.287620012696794, "test_loss": 0.9129853991396499, "test_acc1": 78.39400245147705, "test_acc5": 94.70000248962403, "epoch": 158, "n_parameters": 60989672} +{"train_lr": 0.0004635794675504931, "train_loss": 3.28191414705331, "test_loss": 0.8960731346724611, "test_acc1": 78.87600257843017, "test_acc5": 94.82800290252686, "epoch": 159, "n_parameters": 60989672} +{"train_lr": 0.0004584163849073357, "train_loss": 3.286227996365058, "test_loss": 0.8906668070139308, "test_acc1": 78.57800276489257, "test_acc5": 94.80800240875244, "epoch": 160, "n_parameters": 60989672} +{"train_lr": 0.0004532584106825094, "train_loss": 3.2672342094276354, "test_loss": 0.8873142676823067, "test_acc1": 78.70800227722168, "test_acc5": 94.74200245391846, "epoch": 161, "n_parameters": 60989672} +{"train_lr": 0.0004481061105060409, "train_loss": 3.2656525423010287, "test_loss": 0.887819425513347, "test_acc1": 78.78200287322998, "test_acc5": 94.88200263061523, "epoch": 162, "n_parameters": 60989672} +{"train_lr": 0.00044296004938566933, "train_loss": 3.2631369386550237, "test_loss": 0.8772928257557479, "test_acc1": 79.0660026864624, "test_acc5": 94.89200257141113, "epoch": 163, "n_parameters": 60989672} +{"train_lr": 0.0004378207916450146, "train_loss": 3.2659586790463715, "test_loss": 0.8826335034135616, "test_acc1": 78.63600269500732, "test_acc5": 94.89000257507324, "epoch": 164, "n_parameters": 60989672} +{"train_lr": 0.00043268890086160794, "train_loss": 3.2594936251950015, "test_loss": 0.8868709334144087, "test_acc1": 78.95600277893067, "test_acc5": 94.920002628479, "epoch": 165, "n_parameters": 60989672} +{"train_lr": 0.00042756493980507503, "train_loss": 3.24596725918835, "test_loss": 0.8641573370180347, "test_acc1": 78.74800249481201, "test_acc5": 94.86000261108398, "epoch": 166, "n_parameters": 60989672} +{"train_lr": 0.0004224494703755201, "train_loss": 3.2471432894539776, "test_loss": 0.8753760182722048, "test_acc1": 79.09200255615234, "test_acc5": 94.82800258209228, "epoch": 167, "n_parameters": 60989672} +{"train_lr": 0.00041734305354179923, "train_loss": 3.235447472757954, "test_loss": 0.883409162249529, "test_acc1": 78.93000267272949, "test_acc5": 94.92800252502441, "epoch": 168, "n_parameters": 60989672} +{"train_lr": 0.0004122462492800569, "train_loss": 3.2406578654532048, "test_loss": 0.876109437960567, "test_acc1": 79.07400240631104, "test_acc5": 94.85000251281738, "epoch": 169, "n_parameters": 60989672} +{"train_lr": 0.0004071596165123325, "train_loss": 3.2363459217272026, "test_loss": 0.8708971306455858, "test_acc1": 79.1260026461792, "test_acc5": 94.90000246917725, "epoch": 170, "n_parameters": 60989672} +{"train_lr": 0.0004020837130452182, "train_loss": 3.236430208984134, "test_loss": 0.8656229323735742, "test_acc1": 79.296002711792, "test_acc5": 95.092002527771, "epoch": 171, "n_parameters": 60989672} +{"train_lr": 0.00039701909550871056, "train_loss": 3.219023335704224, "test_loss": 0.8625688032444679, "test_acc1": 79.27000253936768, "test_acc5": 94.95000239196777, "epoch": 172, "n_parameters": 60989672} +{"train_lr": 0.0003919663192952229, "train_loss": 3.2261342037734178, "test_loss": 0.859813277694312, "test_acc1": 79.03400268341065, "test_acc5": 94.9740024282837, "epoch": 173, "n_parameters": 60989672} +{"train_lr": 0.00038692593849859734, "train_loss": 3.2159763084446116, "test_loss": 0.8567869005103906, "test_acc1": 79.24000269805909, "test_acc5": 95.12800265319824, "epoch": 174, "n_parameters": 60989672} +{"train_lr": 0.0003818985058534034, "train_loss": 3.2121661104244006, "test_loss": 0.8732153909901778, "test_acc1": 79.23800249298095, "test_acc5": 95.01000258911132, "epoch": 175, "n_parameters": 60989672} +{"train_lr": 0.0003768845726742596, "train_loss": 3.2130140382037173, "test_loss": 0.8617757462868185, "test_acc1": 79.49000273529053, "test_acc5": 95.13200263702393, "epoch": 176, "n_parameters": 60989672} +{"train_lr": 0.0003718846887954506, "train_loss": 3.209406288550626, "test_loss": 0.8548268067340056, "test_acc1": 79.27800260589599, "test_acc5": 95.06800227111816, "epoch": 177, "n_parameters": 60989672} +{"train_lr": 0.00036689940251057154, "train_loss": 3.20724817225449, "test_loss": 0.8601170708284234, "test_acc1": 79.3740023449707, "test_acc5": 95.11600259429932, "epoch": 178, "n_parameters": 60989672} +{"train_lr": 0.0003619292605124837, "train_loss": 3.2009610117768212, "test_loss": 0.862368159334768, "test_acc1": 79.3440025402832, "test_acc5": 95.05200246490479, "epoch": 179, "n_parameters": 60989672} +{"train_lr": 0.0003569748078332423, "train_loss": 3.188329814292258, "test_loss": 0.8462273015668897, "test_acc1": 79.57600259094238, "test_acc5": 95.09600248260499, "epoch": 180, "n_parameters": 60989672} +{"train_lr": 0.00035203658778439235, "train_loss": 3.189298204071135, "test_loss": 0.857519167277849, "test_acc1": 79.61800234008788, "test_acc5": 95.19400239013672, "epoch": 181, "n_parameters": 60989672} +{"train_lr": 0.0003471151418974503, "train_loss": 3.188037741348612, "test_loss": 0.8670474095552256, "test_acc1": 79.5420025793457, "test_acc5": 95.17200265472412, "epoch": 182, "n_parameters": 60989672} +{"train_lr": 0.0003422110098644085, "train_loss": 3.183015533297849, "test_loss": 0.8672259536882242, "test_acc1": 79.62200249847412, "test_acc5": 95.23000242584229, "epoch": 183, "n_parameters": 60989672} +{"train_lr": 0.0003373247294785742, "train_loss": 3.1756558575861744, "test_loss": 0.8533809335168564, "test_acc1": 79.63200260040283, "test_acc5": 95.21400262023926, "epoch": 184, "n_parameters": 60989672} +{"train_lr": 0.0003324568365756944, "train_loss": 3.1615009976567316, "test_loss": 0.8527832725508646, "test_acc1": 79.87200239257812, "test_acc5": 95.22000248596191, "epoch": 185, "n_parameters": 60989672} +{"train_lr": 0.00032760786497508304, "train_loss": 3.157394159933646, "test_loss": 0.826199629654487, "test_acc1": 79.89800235290528, "test_acc5": 95.24200242462159, "epoch": 186, "n_parameters": 60989672} +{"train_lr": 0.00032277834642108216, "train_loss": 3.160398113868124, "test_loss": 0.8527725340064728, "test_acc1": 79.9680025704956, "test_acc5": 95.27200246917725, "epoch": 187, "n_parameters": 60989672} +{"train_lr": 0.00031796881052486697, "train_loss": 3.157765673623859, "test_loss": 0.8361651914363558, "test_acc1": 79.86000244537354, "test_acc5": 95.29800242645264, "epoch": 188, "n_parameters": 60989672} +{"train_lr": 0.0003131797847062025, "train_loss": 3.1595252103132787, "test_loss": 0.8293144050421137, "test_acc1": 80.00600269104004, "test_acc5": 95.38200256072999, "epoch": 189, "n_parameters": 60989672} +{"train_lr": 0.0003084117941357799, "train_loss": 3.154199943958903, "test_loss": 0.8463424913810961, "test_acc1": 79.9180025402832, "test_acc5": 95.33200256225587, "epoch": 190, "n_parameters": 60989672} +{"train_lr": 0.00030366536167747524, "train_loss": 3.1448295579897128, "test_loss": 0.8277449255639856, "test_acc1": 80.0540024395752, "test_acc5": 95.40200229064942, "epoch": 191, "n_parameters": 60989672} +{"train_lr": 0.00029894100783110664, "train_loss": 3.1414592013203744, "test_loss": 0.8544586567264615, "test_acc1": 79.92600243591309, "test_acc5": 95.3220024282837, "epoch": 192, "n_parameters": 60989672} +{"train_lr": 0.0002942392506752879, "train_loss": 3.135037285973319, "test_loss": 0.8172729786372546, "test_acc1": 80.27600277862548, "test_acc5": 95.31200273132325, "epoch": 193, "n_parameters": 60989672} +{"train_lr": 0.0002895606058107011, "train_loss": 3.1254288355628552, "test_loss": 0.8235499491971551, "test_acc1": 80.23400247833251, "test_acc5": 95.34200243133544, "epoch": 194, "n_parameters": 60989672} +{"train_lr": 0.0002849055863034561, "train_loss": 3.1266504076959416, "test_loss": 0.8539258794802608, "test_acc1": 80.03200255493164, "test_acc5": 95.42200267333985, "epoch": 195, "n_parameters": 60989672} +{"train_lr": 0.0002802747026289244, "train_loss": 3.1142958458021677, "test_loss": 0.8362111190729069, "test_acc1": 80.14000248901367, "test_acc5": 95.44000246917724, "epoch": 196, "n_parameters": 60989672} +{"train_lr": 0.00027566846261567343, "train_loss": 3.1146172116652764, "test_loss": 0.8175943561575629, "test_acc1": 80.31800256469727, "test_acc5": 95.52200247650147, "epoch": 197, "n_parameters": 60989672} +{"train_lr": 0.00027108737138981483, "train_loss": 3.105783900089687, "test_loss": 0.8240231078005198, "test_acc1": 80.25600265075684, "test_acc5": 95.5120027053833, "epoch": 198, "n_parameters": 60989672} +{"train_lr": 0.00026653193131964784, "train_loss": 3.1094185599058175, "test_loss": 0.8191347945142876, "test_acc1": 80.51200253845215, "test_acc5": 95.43000239196778, "epoch": 199, "n_parameters": 60989672} +{"train_lr": 0.00026200264196050673, "train_loss": 3.0998664930355635, "test_loss": 0.8229288774909396, "test_acc1": 80.25400250976563, "test_acc5": 95.54000255737304, "epoch": 200, "n_parameters": 60989672} +{"train_lr": 0.00025750000000000143, "train_loss": 3.0976571880703827, "test_loss": 0.8231218356752035, "test_acc1": 80.4600023803711, "test_acc5": 95.54000247955322, "epoch": 201, "n_parameters": 60989672} +{"train_lr": 0.0002530244992035622, "train_loss": 3.0925313511626613, "test_loss": 0.7960495610693188, "test_acc1": 80.78800263641358, "test_acc5": 95.63400269012452, "epoch": 202, "n_parameters": 60989672} +{"train_lr": 0.00024857663036030185, "train_loss": 3.0776823677605005, "test_loss": 0.7965755292186232, "test_acc1": 80.59800262207031, "test_acc5": 95.67000255187989, "epoch": 203, "n_parameters": 60989672} +{"train_lr": 0.00024415688122914167, "train_loss": 3.080034606248069, "test_loss": 0.8025679824252924, "test_acc1": 80.67400260559081, "test_acc5": 95.6240026071167, "epoch": 204, "n_parameters": 60989672} +{"train_lr": 0.00023976573648539732, "train_loss": 3.0817435567708706, "test_loss": 0.7966501435095613, "test_acc1": 80.65000265563965, "test_acc5": 95.6560026397705, "epoch": 205, "n_parameters": 60989672} +{"train_lr": 0.0002354036776675575, "train_loss": 3.067935748435229, "test_loss": 0.8078154283716823, "test_acc1": 80.63600247009278, "test_acc5": 95.64000253051758, "epoch": 206, "n_parameters": 60989672} +{"train_lr": 0.00023107118312454297, "train_loss": 3.074885642583326, "test_loss": 0.8011507227113752, "test_acc1": 80.7220025088501, "test_acc5": 95.59600257293701, "epoch": 207, "n_parameters": 60989672} +{"train_lr": 0.00022676872796319747, "train_loss": 3.058523755184085, "test_loss": 0.7914918829320055, "test_acc1": 80.90000254364014, "test_acc5": 95.76600280426025, "epoch": 208, "n_parameters": 60989672} +{"train_lr": 0.00022249678399621184, "train_loss": 3.0481931288227093, "test_loss": 0.7975558949013551, "test_acc1": 80.6720027142334, "test_acc5": 95.71200247283936, "epoch": 209, "n_parameters": 60989672} +{"train_lr": 0.00021825581969037202, "train_loss": 3.0532761859974795, "test_loss": 0.7904122566634958, "test_acc1": 81.06600256347656, "test_acc5": 95.76200243133545, "epoch": 210, "n_parameters": 60989672} +{"train_lr": 0.0002140463001152288, "train_loss": 3.0478396021085774, "test_loss": 0.797508954493837, "test_acc1": 80.902002522583, "test_acc5": 95.77600271881103, "epoch": 211, "n_parameters": 60989672} +{"train_lr": 0.00020986868689201908, "train_loss": 3.0496231541692684, "test_loss": 0.7990965874809207, "test_acc1": 80.90200243011475, "test_acc5": 95.67800255096435, "epoch": 212, "n_parameters": 60989672} +{"train_lr": 0.00020572343814312388, "train_loss": 3.0291483998536872, "test_loss": 0.7807106232327042, "test_acc1": 81.09800258728028, "test_acc5": 95.84000262115478, "epoch": 213, "n_parameters": 60989672} +{"train_lr": 0.00020161100844177222, "train_loss": 3.040420144963131, "test_loss": 0.7888586680320177, "test_acc1": 81.12000257751465, "test_acc5": 95.85200250396728, "epoch": 214, "n_parameters": 60989672} +{"train_lr": 0.0001975318487622333, "train_loss": 3.021569854981131, "test_loss": 0.8062558724178057, "test_acc1": 81.04400253677368, "test_acc5": 95.77800244506835, "epoch": 215, "n_parameters": 60989672} +{"train_lr": 0.0001934864064303279, "train_loss": 3.0136578113710186, "test_loss": 0.7853030180558562, "test_acc1": 81.1340023751831, "test_acc5": 95.81400258346558, "epoch": 216, "n_parameters": 60989672} +{"train_lr": 0.00018947512507439562, "train_loss": 3.014521290894321, "test_loss": 0.7863889350696947, "test_acc1": 81.1480026651001, "test_acc5": 95.79600249679565, "epoch": 217, "n_parameters": 60989672} +{"train_lr": 0.00018549844457663907, "train_loss": 3.0129733852130904, "test_loss": 0.7848535059302142, "test_acc1": 81.1680025048828, "test_acc5": 95.94400251571655, "epoch": 218, "n_parameters": 60989672} +{"train_lr": 0.00018155680102489234, "train_loss": 3.0169281082675994, "test_loss": 0.797943369457216, "test_acc1": 80.9540026109314, "test_acc5": 95.70600257080078, "epoch": 219, "n_parameters": 60989672} +{"train_lr": 0.00017765062666479713, "train_loss": 3.0020438271055787, "test_loss": 0.7918864753887509, "test_acc1": 81.28200259521485, "test_acc5": 95.86000243499755, "epoch": 220, "n_parameters": 60989672} +{"train_lr": 0.00017378034985236136, "train_loss": 3.000688908679737, "test_loss": 0.7767228687069181, "test_acc1": 81.31200262390136, "test_acc5": 95.89400238830567, "epoch": 221, "n_parameters": 60989672} +{"train_lr": 0.0001699463950070852, "train_loss": 2.985089023223074, "test_loss": 0.7780415887633959, "test_acc1": 81.22600267105102, "test_acc5": 95.95000250869751, "epoch": 222, "n_parameters": 60989672} +{"train_lr": 0.00016614918256530037, "train_loss": 2.9840145904144983, "test_loss": 0.7824137898895777, "test_acc1": 81.32600263305665, "test_acc5": 95.96600251312256, "epoch": 223, "n_parameters": 60989672} +{"train_lr": 0.0001623891289341519, "train_loss": 2.9806099404974713, "test_loss": 0.7895111775477276, "test_acc1": 81.32000244873046, "test_acc5": 95.87800246368408, "epoch": 224, "n_parameters": 60989672} +{"train_lr": 0.00015866664644587948, "train_loss": 2.971680708449903, "test_loss": 0.7677097910958709, "test_acc1": 81.34200251373291, "test_acc5": 96.01600253082276, "epoch": 225, "n_parameters": 60989672} +{"train_lr": 0.00015498214331266302, "train_loss": 2.966226367004436, "test_loss": 0.769079045082132, "test_acc1": 81.31000237197875, "test_acc5": 95.94200247665405, "epoch": 226, "n_parameters": 60989672} +{"train_lr": 0.00015133602358175863, "train_loss": 2.9661214463144754, "test_loss": 0.7759567953815515, "test_acc1": 81.52800264541627, "test_acc5": 95.89800240768433, "epoch": 227, "n_parameters": 60989672} +{"train_lr": 0.00014772868709131358, "train_loss": 2.95902891037204, "test_loss": 0.7716615050466675, "test_acc1": 81.57800238250732, "test_acc5": 96.02400250289917, "epoch": 228, "n_parameters": 60989672} +{"train_lr": 0.00014416052942639815, "train_loss": 2.9526530295062505, "test_loss": 0.7695197643937938, "test_acc1": 81.7520026046753, "test_acc5": 96.03000237121582, "epoch": 229, "n_parameters": 60989672} +{"train_lr": 0.0001406319418757283, "train_loss": 2.947346364577516, "test_loss": 0.7635369129535375, "test_acc1": 81.64200256484985, "test_acc5": 96.09400250198364, "epoch": 230, "n_parameters": 60989672} +{"train_lr": 0.00013714331138869076, "train_loss": 2.944302123948205, "test_loss": 0.768602576840556, "test_acc1": 81.67200244125367, "test_acc5": 96.04400263031006, "epoch": 231, "n_parameters": 60989672} +{"train_lr": 0.00013369502053292505, "train_loss": 2.944448565461224, "test_loss": 0.7706042149696838, "test_acc1": 81.45200251480102, "test_acc5": 96.00600274459839, "epoch": 232, "n_parameters": 60989672} +{"train_lr": 0.00013028744745238475, "train_loss": 2.9358485213381877, "test_loss": 0.7598914159179637, "test_acc1": 81.68800245193482, "test_acc5": 96.15200250686645, "epoch": 233, "n_parameters": 60989672} +{"train_lr": 0.0001269209658258495, "train_loss": 2.930198905029171, "test_loss": 0.7573695509609851, "test_acc1": 81.65400241714478, "test_acc5": 96.05600252792358, "epoch": 234, "n_parameters": 60989672} +{"train_lr": 0.0001235959448259827, "train_loss": 2.9246391034026225, "test_loss": 0.7580158751683704, "test_acc1": 81.89800245300293, "test_acc5": 96.12800254226684, "epoch": 235, "n_parameters": 60989672} +{"train_lr": 0.00012031274907879946, "train_loss": 2.91446389501496, "test_loss": 0.753396963982871, "test_acc1": 81.70000234909058, "test_acc5": 96.13000259048462, "epoch": 236, "n_parameters": 60989672} +{"train_lr": 0.00011707173862371172, "train_loss": 2.911939612568187, "test_loss": 0.7615871194919402, "test_acc1": 81.88600258453368, "test_acc5": 96.10200226211548, "epoch": 237, "n_parameters": 60989672} +{"train_lr": 0.00011387326887403272, "train_loss": 2.912197465924241, "test_loss": 0.7534522578741113, "test_acc1": 81.90000249710083, "test_acc5": 96.16200246032714, "epoch": 238, "n_parameters": 60989672} +{"train_lr": 0.00011071769057802179, "train_loss": 2.9012485226626685, "test_loss": 0.7521010125620347, "test_acc1": 81.80200251708985, "test_acc5": 96.13600245101928, "epoch": 239, "n_parameters": 60989672} +{"train_lr": 0.00010760534978039747, "train_loss": 2.898737027937417, "test_loss": 0.7593747663001219, "test_acc1": 81.98200251190185, "test_acc5": 96.19800234924317, "epoch": 240, "n_parameters": 60989672} +{"train_lr": 0.00010453658778440302, "train_loss": 2.895991990868327, "test_loss": 0.7543120872172894, "test_acc1": 81.9620025819397, "test_acc5": 96.25200254821777, "epoch": 241, "n_parameters": 60989672} +{"train_lr": 0.0001015117411143637, "train_loss": 2.8918901351477793, "test_loss": 0.7561362010398598, "test_acc1": 81.96400233459472, "test_acc5": 96.1440025189209, "epoch": 242, "n_parameters": 60989672} +{"train_lr": 9.853114147881454e-05, "train_loss": 2.884421932176768, "test_loss": 0.7515168473914717, "test_acc1": 82.00000258499145, "test_acc5": 96.14400255477905, "epoch": 243, "n_parameters": 60989672} +{"train_lr": 9.559511573409267e-05, "train_loss": 2.8827006440999794, "test_loss": 0.7552304215108355, "test_acc1": 81.96200243499756, "test_acc5": 96.2060024772644, "epoch": 244, "n_parameters": 60989672} +{"train_lr": 9.270398584849976e-05, "train_loss": 2.875490520616992, "test_loss": 0.7514583570318241, "test_acc1": 82.14600254364014, "test_acc5": 96.25200246597291, "epoch": 245, "n_parameters": 60989672} +{"train_lr": 8.985806886701763e-05, "train_loss": 2.876004361968151, "test_loss": 0.7501835783548427, "test_acc1": 82.14200252990723, "test_acc5": 96.2260025289917, "epoch": 246, "n_parameters": 60989672} +{"train_lr": 8.705767687650155e-05, "train_loss": 2.8648287909065218, "test_loss": 0.7466871459319284, "test_acc1": 82.16600250808716, "test_acc5": 96.26800261123657, "epoch": 247, "n_parameters": 60989672} +{"train_lr": 8.430311697149993e-05, "train_loss": 2.860557378041182, "test_loss": 0.7394305514453938, "test_acc1": 82.33200257247925, "test_acc5": 96.35200243545532, "epoch": 248, "n_parameters": 60989672} +{"train_lr": 8.159469122054745e-05, "train_loss": 2.861112220419778, "test_loss": 0.737277364047865, "test_acc1": 82.33400246353149, "test_acc5": 96.33000259918212, "epoch": 249, "n_parameters": 60989672} +{"train_lr": 7.893269663304691e-05, "train_loss": 2.855587064511151, "test_loss": 0.7332746306095611, "test_acc1": 82.39800255126953, "test_acc5": 96.37800240127564, "epoch": 250, "n_parameters": 60989672} +{"train_lr": 7.631742512670381e-05, "train_loss": 2.8487738149402904, "test_loss": 0.7468516938106129, "test_acc1": 82.21400252319336, "test_acc5": 96.27800258026123, "epoch": 251, "n_parameters": 60989672} +{"train_lr": 7.37491634955067e-05, "train_loss": 2.842108189434313, "test_loss": 0.7409420719821797, "test_acc1": 82.40000248718262, "test_acc5": 96.31600228149414, "epoch": 252, "n_parameters": 60989672} +{"train_lr": 7.122819337828824e-05, "train_loss": 2.844102611436213, "test_loss": 0.7339073122112136, "test_acc1": 82.33200249160767, "test_acc5": 96.35000248428345, "epoch": 253, "n_parameters": 60989672} +{"train_lr": 6.87547912278283e-05, "train_loss": 2.831806080905701, "test_loss": 0.7362704829623302, "test_acc1": 82.45400252883911, "test_acc5": 96.31200240936279, "epoch": 254, "n_parameters": 60989672} +{"train_lr": 6.632922828055003e-05, "train_loss": 2.82521669457642, "test_loss": 0.7366363392917045, "test_acc1": 82.38600254226685, "test_acc5": 96.36600240127564, "epoch": 255, "n_parameters": 60989672} +{"train_lr": 6.395177052675899e-05, "train_loss": 2.8263786521187124, "test_loss": 0.7357004072630045, "test_acc1": 82.44800255371094, "test_acc5": 96.34800233520508, "epoch": 256, "n_parameters": 60989672} +{"train_lr": 6.162267868149164e-05, "train_loss": 2.822477369714412, "test_loss": 0.7287987506186421, "test_acc1": 82.45400256759643, "test_acc5": 96.36600248306274, "epoch": 257, "n_parameters": 60989672} +{"train_lr": 5.934220815591336e-05, "train_loss": 2.8194728286253463, "test_loss": 0.7305432931999817, "test_acc1": 82.60200259521484, "test_acc5": 96.40600256072997, "epoch": 258, "n_parameters": 60989672} +{"train_lr": 5.711060902932033e-05, "train_loss": 2.808936485176464, "test_loss": 0.7273992960990379, "test_acc1": 82.46800242233276, "test_acc5": 96.38800247894287, "epoch": 259, "n_parameters": 60989672} +{"train_lr": 5.492812602170232e-05, "train_loss": 2.8120946964140323, "test_loss": 0.7326502415041128, "test_acc1": 82.46200250289917, "test_acc5": 96.39400234802245, "epoch": 260, "n_parameters": 60989672} +{"train_lr": 5.2794998466913834e-05, "train_loss": 2.8071591482042884, "test_loss": 0.735785028586785, "test_acc1": 82.57600262832642, "test_acc5": 96.43400256561279, "epoch": 261, "n_parameters": 60989672} +{"train_lr": 5.0711460286429e-05, "train_loss": 2.8028509941437454, "test_loss": 0.7313939872000254, "test_acc1": 82.55200231292724, "test_acc5": 96.38000240447998, "epoch": 262, "n_parameters": 60989672} +{"train_lr": 4.8677739963691566e-05, "train_loss": 2.802338106973137, "test_loss": 0.7332529905675487, "test_acc1": 82.53200253250122, "test_acc5": 96.41800252380371, "epoch": 263, "n_parameters": 60989672} +{"train_lr": 4.669406051905346e-05, "train_loss": 2.793174613972934, "test_loss": 0.7317054152037158, "test_acc1": 82.63000248840332, "test_acc5": 96.43200243148804, "epoch": 264, "n_parameters": 60989672} +{"train_lr": 4.476063948531632e-05, "train_loss": 2.79167467418263, "test_loss": 0.7349387953678767, "test_acc1": 82.63000238632202, "test_acc5": 96.42400241317749, "epoch": 265, "n_parameters": 60989672} +{"train_lr": 4.287768888388454e-05, "train_loss": 2.7870801984727813, "test_loss": 0.7285304779017513, "test_acc1": 82.63600244705201, "test_acc5": 96.46800244522095, "epoch": 266, "n_parameters": 60989672} +{"train_lr": 4.1045415201513915e-05, "train_loss": 2.7855432265036875, "test_loss": 0.7345184508823988, "test_acc1": 82.64600245681763, "test_acc5": 96.42000234268188, "epoch": 267, "n_parameters": 60989672} +{"train_lr": 3.926401936765786e-05, "train_loss": 2.7782844518073837, "test_loss": 0.7280753285087871, "test_acc1": 82.69600253265381, "test_acc5": 96.4580024987793, "epoch": 268, "n_parameters": 60989672} +{"train_lr": 3.753369673244709e-05, "train_loss": 2.7745967375800955, "test_loss": 0.7299080517594562, "test_acc1": 82.67600252288818, "test_acc5": 96.44000256454468, "epoch": 269, "n_parameters": 60989672} +{"train_lr": 3.585463704525412e-05, "train_loss": 2.7771893618025367, "test_loss": 0.7240041087691983, "test_acc1": 82.78400252456665, "test_acc5": 96.47000245452881, "epoch": 270, "n_parameters": 60989672} +{"train_lr": 3.4227024433899046e-05, "train_loss": 2.7763490279872927, "test_loss": 0.7259003588308891, "test_acc1": 82.78400259750366, "test_acc5": 96.45200241912842, "epoch": 271, "n_parameters": 60989672} +{"train_lr": 3.2651037384443736e-05, "train_loss": 2.7612410374849343, "test_loss": 0.723527725136867, "test_acc1": 82.73400232925415, "test_acc5": 96.49400247009277, "epoch": 272, "n_parameters": 60989672} +{"train_lr": 3.112684872162703e-05, "train_loss": 2.76947304417642, "test_loss": 0.7197484779877193, "test_acc1": 82.72800257995605, "test_acc5": 96.50200255264282, "epoch": 273, "n_parameters": 60989672} +{"train_lr": 2.9654625589913e-05, "train_loss": 2.7642757675642495, "test_loss": 0.7231026601723649, "test_acc1": 82.80200254455566, "test_acc5": 96.49200250427246, "epoch": 274, "n_parameters": 60989672} +{"train_lr": 2.8234529435159726e-05, "train_loss": 2.754330988202116, "test_loss": 0.7202907385530345, "test_acc1": 82.9100023487854, "test_acc5": 96.50600254333496, "epoch": 275, "n_parameters": 60989672} +{"train_lr": 2.6866715986911513e-05, "train_loss": 2.754533396135989, "test_loss": 0.7266346695691799, "test_acc1": 82.79600241500854, "test_acc5": 96.49800250427246, "epoch": 276, "n_parameters": 60989672} +{"train_lr": 2.55513352413271e-05, "train_loss": 2.75354792188993, "test_loss": 0.7174591593952342, "test_acc1": 82.89800260314941, "test_acc5": 96.57000270935059, "epoch": 277, "n_parameters": 60989672} +{"train_lr": 2.4288531444729954e-05, "train_loss": 2.7509728111773373, "test_loss": 0.7218343616660797, "test_acc1": 82.77800257400513, "test_acc5": 96.5440025743103, "epoch": 278, "n_parameters": 60989672} +{"train_lr": 2.3078443077785567e-05, "train_loss": 2.7495667362491862, "test_loss": 0.7221898837297251, "test_acc1": 82.92000244827271, "test_acc5": 96.59000256561279, "epoch": 279, "n_parameters": 60989672} +{"train_lr": 2.192120284031953e-05, "train_loss": 2.7518964347948462, "test_loss": 0.7186721025994329, "test_acc1": 82.87800267440795, "test_acc5": 96.61200267959595, "epoch": 280, "n_parameters": 60989672} +{"train_lr": 2.0816937636766537e-05, "train_loss": 2.74321802553656, "test_loss": 0.7249036994621609, "test_acc1": 82.83800240631103, "test_acc5": 96.54200257217407, "epoch": 281, "n_parameters": 60989672} +{"train_lr": 1.976576856224742e-05, "train_loss": 2.7440519443363978, "test_loss": 0.716529915871268, "test_acc1": 82.85600242752075, "test_acc5": 96.56800255218506, "epoch": 282, "n_parameters": 60989672} +{"train_lr": 1.8767810889299472e-05, "train_loss": 2.73997873307275, "test_loss": 0.7235938252203844, "test_acc1": 82.87400245834351, "test_acc5": 96.53200245819092, "epoch": 283, "n_parameters": 60989672} +{"train_lr": 1.7823174055225238e-05, "train_loss": 2.7429344703039105, "test_loss": 0.7207401247243538, "test_acc1": 82.90200261047363, "test_acc5": 96.56200240661622, "epoch": 284, "n_parameters": 60989672} +{"train_lr": 1.6931961650100128e-05, "train_loss": 2.736611637470724, "test_loss": 0.7194522558005921, "test_acc1": 82.9020025946045, "test_acc5": 96.57400245819092, "epoch": 285, "n_parameters": 60989672} +{"train_lr": 1.609427140540658e-05, "train_loss": 2.7350703087701596, "test_loss": 0.7175536172351602, "test_acc1": 82.96200249771118, "test_acc5": 96.56600246261597, "epoch": 286, "n_parameters": 60989672} +{"train_lr": 1.5310195183320784e-05, "train_loss": 2.735001970204613, "test_loss": 0.7208127029465906, "test_acc1": 82.92000259338378, "test_acc5": 96.56800249450684, "epoch": 287, "n_parameters": 60989672} +{"train_lr": 1.4579818966635116e-05, "train_loss": 2.726689771329947, "test_loss": 0.7187220926368327, "test_acc1": 82.93400244277954, "test_acc5": 96.65400241592407, "epoch": 288, "n_parameters": 60989672} +{"train_lr": 1.3903222849333426e-05, "train_loss": 2.724754238842155, "test_loss": 0.7186061271720312, "test_acc1": 82.93800243347168, "test_acc5": 96.58800253311158, "epoch": 289, "n_parameters": 60989672} +{"train_lr": 1.3280481027803718e-05, "train_loss": 2.7312584849987194, "test_loss": 0.719537141055546, "test_acc1": 82.99800228637696, "test_acc5": 96.58800251846313, "epoch": 290, "n_parameters": 60989672} +{"train_lr": 1.2711661792704427e-05, "train_loss": 2.7221123365034683, "test_loss": 0.7192311577047362, "test_acc1": 82.9980025505066, "test_acc5": 96.63200252166747, "epoch": 291, "n_parameters": 60989672} +{"train_lr": 1.2196827521475628e-05, "train_loss": 2.726522390785025, "test_loss": 0.715949189002541, "test_acc1": 83.05800258743287, "test_acc5": 96.61000232528687, "epoch": 292, "n_parameters": 60989672} +{"train_lr": 1.1736034671495227e-05, "train_loss": 2.7193205526633135, "test_loss": 0.7163898345986099, "test_acc1": 82.98200254608155, "test_acc5": 96.61600240615844, "epoch": 293, "n_parameters": 60989672} +{"train_lr": 1.1329333773893123e-05, "train_loss": 2.7235323430882463, "test_loss": 0.7201836378116048, "test_acc1": 82.95800219314575, "test_acc5": 96.5760023789978, "epoch": 294, "n_parameters": 60989672} +{"train_lr": 1.0976769428005425e-05, "train_loss": 2.7189497472904476, "test_loss": 0.7161372190510685, "test_acc1": 83.04200247833252, "test_acc5": 96.5980023626709, "epoch": 295, "n_parameters": 60989672} +{"train_lr": 1.067838029648576e-05, "train_loss": 2.7153707169812265, "test_loss": 0.7194793678989465, "test_acc1": 82.95600249191284, "test_acc5": 96.58800238708496, "epoch": 296, "n_parameters": 60989672} +{"train_lr": 1.0434199101065238e-05, "train_loss": 2.7187460577078193, "test_loss": 0.7201164959167893, "test_acc1": 82.9640025086975, "test_acc5": 96.60000253356934, "epoch": 297, "n_parameters": 60989672} +{"train_lr": 1.0244252618963046e-05, "train_loss": 2.7176345726676123, "test_loss": 0.7224782953095256, "test_acc1": 83.03800238632202, "test_acc5": 96.60400254501343, "epoch": 298, "n_parameters": 60989672} +{"train_lr": 1.0108561679951307e-05, "train_loss": 2.7168386435444405, "test_loss": 0.715151580248141, "test_acc1": 83.02200254257203, "test_acc5": 96.58600239852905, "epoch": 299, "n_parameters": 60989672} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt new file mode 100644 index 000000000..9d79f03f9 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt @@ -0,0 +1,300 @@ +{"train_lr": 1.000000000000015e-06, "train_loss": 6.913535571038723, "test_loss": 6.8714314655021385, "test_acc1": 0.2160000117301941, "test_acc5": 1.2940000837326049, "epoch": 0, "n_parameters": 24106216} +{"train_lr": 1.000000000000015e-06, "train_loss": 6.896081995010376, "test_loss": 6.839652865021317, "test_acc1": 0.40800002346038816, "test_acc5": 1.7700001041412354, "epoch": 1, "n_parameters": 24106216} +{"train_lr": 0.0002507999999999969, "train_loss": 6.628805226147175, "test_loss": 5.555466687237775, "test_acc1": 6.462000321006775, "test_acc5": 18.384000979614257, "epoch": 2, "n_parameters": 24106216} +{"train_lr": 0.0005006000000000066, "train_loss": 6.272622795701027, "test_loss": 4.64223074471509, "test_acc1": 15.328000774383545, "test_acc5": 34.724001724243166, "epoch": 3, "n_parameters": 24106216} +{"train_lr": 0.0007504000000000098, "train_loss": 5.958464104115963, "test_loss": 3.9152780064830073, "test_acc1": 24.868001231384277, "test_acc5": 48.68200244750977, "epoch": 4, "n_parameters": 24106216} +{"train_lr": 0.0010002000000000064, "train_loss": 5.670980889737606, "test_loss": 3.3432016747969167, "test_acc1": 33.47600182495117, "test_acc5": 59.10200291748047, "epoch": 5, "n_parameters": 24106216} +{"train_lr": 0.0012491503115478462, "train_loss": 5.421633140593767, "test_loss": 2.9919017029029353, "test_acc1": 39.19200199279785, "test_acc5": 65.3920035522461, "epoch": 6, "n_parameters": 24106216} +{"train_lr": 0.0012487765716255204, "train_loss": 5.202176849722862, "test_loss": 2.6157535275927297, "test_acc1": 45.32800238342285, "test_acc5": 71.13600388793945, "epoch": 7, "n_parameters": 24106216} +{"train_lr": 0.0012483349758791718, "train_loss": 5.036143932789564, "test_loss": 2.479441418140023, "test_acc1": 49.06200260620117, "test_acc5": 74.5840037536621, "epoch": 8, "n_parameters": 24106216} +{"train_lr": 0.001247825572734689, "train_loss": 4.892401652991771, "test_loss": 2.2892523849451982, "test_acc1": 51.70800283813477, "test_acc5": 76.6540040649414, "epoch": 9, "n_parameters": 24106216} +{"train_lr": 0.0012472484180539036, "train_loss": 4.797423577070236, "test_loss": 2.1864398464008614, "test_acc1": 53.62800247802734, "test_acc5": 78.56600432128906, "epoch": 10, "n_parameters": 24106216} +{"train_lr": 0.001246603575128331, "train_loss": 4.717771196216344, "test_loss": 2.052709130777253, "test_acc1": 56.10400266113281, "test_acc5": 80.17800435791015, "epoch": 11, "n_parameters": 24106216} +{"train_lr": 0.001245891114672232, "train_loss": 4.6287200723290445, "test_loss": 1.972386814377926, "test_acc1": 57.47600287475586, "test_acc5": 81.51200498046875, "epoch": 12, "n_parameters": 24106216} +{"train_lr": 0.0012451111148149827, "train_loss": 4.564317229270935, "test_loss": 1.9672881309632901, "test_acc1": 58.67200286865234, "test_acc5": 82.18800517578126, "epoch": 13, "n_parameters": 24106216} +{"train_lr": 0.0012442636610923105, "train_loss": 4.5011985965371135, "test_loss": 1.9190684584555802, "test_acc1": 59.9820027709961, "test_acc5": 83.45800522460938, "epoch": 14, "n_parameters": 24106216} +{"train_lr": 0.0012433488464370416, "train_loss": 4.462880715608597, "test_loss": 1.8349897083308961, "test_acc1": 60.98800298461914, "test_acc5": 84.2020052368164, "epoch": 15, "n_parameters": 24106216} +{"train_lr": 0.0012423667711689737, "train_loss": 4.4079978993535045, "test_loss": 1.7524507793563384, "test_acc1": 62.11800297241211, "test_acc5": 84.89200516357423, "epoch": 16, "n_parameters": 24106216} +{"train_lr": 0.0012413175429837283, "train_loss": 4.341294016778469, "test_loss": 1.7631257019109197, "test_acc1": 62.51600301513672, "test_acc5": 85.14600496826172, "epoch": 17, "n_parameters": 24106216} +{"train_lr": 0.001240201276940937, "train_loss": 4.325479748308658, "test_loss": 1.6924114114156477, "test_acc1": 63.38400289916992, "test_acc5": 85.64800491943359, "epoch": 18, "n_parameters": 24106216} +{"train_lr": 0.0012390180954517935, "train_loss": 4.288229148060084, "test_loss": 1.6704907149628356, "test_acc1": 64.22000327758789, "test_acc5": 86.0940050415039, "epoch": 19, "n_parameters": 24106216} +{"train_lr": 0.0012377681282654562, "train_loss": 4.2547790238261225, "test_loss": 1.6916942762004004, "test_acc1": 64.00200321655274, "test_acc5": 86.27000490722656, "epoch": 20, "n_parameters": 24106216} +{"train_lr": 0.0012364515124549766, "train_loss": 4.2300773498117925, "test_loss": 1.615900165228932, "test_acc1": 64.78600329589844, "test_acc5": 86.82800505371094, "epoch": 21, "n_parameters": 24106216} +{"train_lr": 0.0012350683924020431, "train_loss": 4.1997653625905516, "test_loss": 1.567627434377317, "test_acc1": 65.39800343017578, "test_acc5": 87.17600489501953, "epoch": 22, "n_parameters": 24106216} +{"train_lr": 0.0012336189197813753, "train_loss": 4.182271348774433, "test_loss": 1.5708532957015213, "test_acc1": 65.74000326538086, "test_acc5": 87.41000498046876, "epoch": 23, "n_parameters": 24106216} +{"train_lr": 0.0012321032535439747, "train_loss": 4.1501182015836235, "test_loss": 1.5285524149183873, "test_acc1": 66.36800338745117, "test_acc5": 87.6660050048828, "epoch": 24, "n_parameters": 24106216} +{"train_lr": 0.001230521559899772, "train_loss": 4.129254027009011, "test_loss": 1.5328217852446768, "test_acc1": 66.45400336914062, "test_acc5": 87.78000501708985, "epoch": 25, "n_parameters": 24106216} +{"train_lr": 0.0012288740122992125, "train_loss": 4.101872677892446, "test_loss": 1.5247428353737902, "test_acc1": 66.80600341796875, "test_acc5": 88.0480049194336, "epoch": 26, "n_parameters": 24106216} +{"train_lr": 0.0012271607914145172, "train_loss": 4.089263994783163, "test_loss": 1.4804014897456876, "test_acc1": 67.44000345458984, "test_acc5": 88.27200539550782, "epoch": 27, "n_parameters": 24106216} +{"train_lr": 0.001225382085119711, "train_loss": 4.069247832328081, "test_loss": 1.4873344453948516, "test_acc1": 67.61000348510743, "test_acc5": 88.51200490722657, "epoch": 28, "n_parameters": 24106216} +{"train_lr": 0.0012235380884698913, "train_loss": 4.055034660369158, "test_loss": 1.5163754688368902, "test_acc1": 67.8880033996582, "test_acc5": 88.63600532226563, "epoch": 29, "n_parameters": 24106216} +{"train_lr": 0.0012216290036800956, "train_loss": 4.044097130507231, "test_loss": 1.4739522440014061, "test_acc1": 68.04200346069337, "test_acc5": 88.69000485839844, "epoch": 30, "n_parameters": 24106216} +{"train_lr": 0.0012196550401029926, "train_loss": 4.027264056622982, "test_loss": 1.442910118787377, "test_acc1": 68.14800352172851, "test_acc5": 88.97000504150391, "epoch": 31, "n_parameters": 24106216} +{"train_lr": 0.001217616414205929, "train_loss": 4.009433139562606, "test_loss": 1.433712009202551, "test_acc1": 68.38000353393555, "test_acc5": 88.98000516357422, "epoch": 32, "n_parameters": 24106216} +{"train_lr": 0.00121551334954726, "train_loss": 3.9934953228235246, "test_loss": 1.4155721013192777, "test_acc1": 68.75600358886719, "test_acc5": 88.98600523681641, "epoch": 33, "n_parameters": 24106216} +{"train_lr": 0.0012133460767516106, "train_loss": 3.978181264072657, "test_loss": 1.4521592331153375, "test_acc1": 68.63800339355468, "test_acc5": 89.09400493164063, "epoch": 34, "n_parameters": 24106216} +{"train_lr": 0.001211114833484995, "train_loss": 3.968492669135332, "test_loss": 1.4471144339552633, "test_acc1": 68.88400361938477, "test_acc5": 89.24200524902344, "epoch": 35, "n_parameters": 24106216} +{"train_lr": 0.0012088198644282448, "train_loss": 3.9578844200074674, "test_loss": 1.418613934682475, "test_acc1": 69.2720033569336, "test_acc5": 89.52000521240234, "epoch": 36, "n_parameters": 24106216} +{"train_lr": 0.0012064614212507173, "train_loss": 3.9395175757110117, "test_loss": 1.419805669674167, "test_acc1": 69.07400339965821, "test_acc5": 89.52200493164062, "epoch": 37, "n_parameters": 24106216} +{"train_lr": 0.0012040397625821895, "train_loss": 3.9304638355374335, "test_loss": 1.335953338002717, "test_acc1": 69.54800377197266, "test_acc5": 89.87800502929687, "epoch": 38, "n_parameters": 24106216} +{"train_lr": 0.001201555153984865, "train_loss": 3.936227840512991, "test_loss": 1.3909132949731968, "test_acc1": 69.46200340576172, "test_acc5": 89.69400505371094, "epoch": 39, "n_parameters": 24106216} +{"train_lr": 0.0011990078679240577, "train_loss": 3.9146454859077933, "test_loss": 1.353790856897831, "test_acc1": 69.68800349731445, "test_acc5": 89.80400534667969, "epoch": 40, "n_parameters": 24106216} +{"train_lr": 0.0011963981837384023, "train_loss": 3.89916970077157, "test_loss": 1.402679662461634, "test_acc1": 70.11400338745118, "test_acc5": 90.00200522460938, "epoch": 41, "n_parameters": 24106216} +{"train_lr": 0.0011937263876091746, "train_loss": 3.8923895446658134, "test_loss": 1.3533130878651585, "test_acc1": 70.12200366821288, "test_acc5": 90.07800490722656, "epoch": 42, "n_parameters": 24106216} +{"train_lr": 0.001190992772528946, "train_loss": 3.899417747139931, "test_loss": 1.3483430859115388, "test_acc1": 69.81200363769531, "test_acc5": 90.05800513916016, "epoch": 43, "n_parameters": 24106216} +{"train_lr": 0.0011881976382693608, "train_loss": 3.881334396392107, "test_loss": 1.3689778709301241, "test_acc1": 70.32600362548828, "test_acc5": 90.21200522460937, "epoch": 44, "n_parameters": 24106216} +{"train_lr": 0.0011853412913484327, "train_loss": 3.871225077301264, "test_loss": 1.3110075857904222, "test_acc1": 70.57600339355469, "test_acc5": 90.29600506591797, "epoch": 45, "n_parameters": 24106216} +{"train_lr": 0.0011824240449967807, "train_loss": 3.866314654439688, "test_loss": 1.3440607788938064, "test_acc1": 70.28200370483398, "test_acc5": 90.13600501708984, "epoch": 46, "n_parameters": 24106216} +{"train_lr": 0.0011794462191233419, "train_loss": 3.8652158354520796, "test_loss": 1.3445229530334473, "test_acc1": 70.63000358886718, "test_acc5": 90.34400496826171, "epoch": 47, "n_parameters": 24106216} +{"train_lr": 0.0011764081402803035, "train_loss": 3.846652329295874, "test_loss": 1.3092612853204761, "test_acc1": 70.33800374145508, "test_acc5": 90.35800535888671, "epoch": 48, "n_parameters": 24106216} +{"train_lr": 0.0011733101416272085, "train_loss": 3.8440380311608315, "test_loss": 1.2882703429570905, "test_acc1": 70.9160036682129, "test_acc5": 90.50600496826172, "epoch": 49, "n_parameters": 24106216} +{"train_lr": 0.0011701525628945223, "train_loss": 3.832699894487858, "test_loss": 1.3234985236216474, "test_acc1": 71.09000373535156, "test_acc5": 90.6240052368164, "epoch": 50, "n_parameters": 24106216} +{"train_lr": 0.0011669357503463387, "train_loss": 3.8384778308570384, "test_loss": 1.2898890500267346, "test_acc1": 71.25600347290039, "test_acc5": 90.69000494384765, "epoch": 51, "n_parameters": 24106216} +{"train_lr": 0.0011636600567424221, "train_loss": 3.8198962167203425, "test_loss": 1.2628338919193656, "test_acc1": 71.28800380249024, "test_acc5": 90.73600523681641, "epoch": 52, "n_parameters": 24106216} +{"train_lr": 0.0011603258412995292, "train_loss": 3.816648721575737, "test_loss": 1.2914936335550413, "test_acc1": 70.96200385742188, "test_acc5": 90.71800476074219, "epoch": 53, "n_parameters": 24106216} +{"train_lr": 0.0011569334696518608, "train_loss": 3.8101497773230077, "test_loss": 1.3129748867617712, "test_acc1": 70.87000354614258, "test_acc5": 90.80000501708984, "epoch": 54, "n_parameters": 24106216} +{"train_lr": 0.001153483313811246, "train_loss": 3.804685500383377, "test_loss": 1.331915967994266, "test_acc1": 71.24600341796875, "test_acc5": 90.6800051147461, "epoch": 55, "n_parameters": 24106216} +{"train_lr": 0.0011499757521261495, "train_loss": 3.80315726390481, "test_loss": 1.302911410453143, "test_acc1": 71.23400352783203, "test_acc5": 90.80400524902343, "epoch": 56, "n_parameters": 24106216} +{"train_lr": 0.0011464111692402826, "train_loss": 3.7843301731348036, "test_loss": 1.2863715569730159, "test_acc1": 71.50400367431641, "test_acc5": 90.76400463867188, "epoch": 57, "n_parameters": 24106216} +{"train_lr": 0.0011427899560502318, "train_loss": 3.7939142463505267, "test_loss": 1.259428408410814, "test_acc1": 71.63600356445312, "test_acc5": 91.0560052368164, "epoch": 58, "n_parameters": 24106216} +{"train_lr": 0.001139112509662915, "train_loss": 3.781319835871458, "test_loss": 1.2894151867539794, "test_acc1": 71.79600379028321, "test_acc5": 90.92000506591796, "epoch": 59, "n_parameters": 24106216} +{"train_lr": 0.001135379233351714, "train_loss": 3.7782966318428515, "test_loss": 1.2596035089205813, "test_acc1": 71.92200338745117, "test_acc5": 91.09000498046875, "epoch": 60, "n_parameters": 24106216} +{"train_lr": 0.0011315905365124744, "train_loss": 3.764239074587822, "test_loss": 1.3167385434110959, "test_acc1": 71.81200366210938, "test_acc5": 91.15000513916016, "epoch": 61, "n_parameters": 24106216} +{"train_lr": 0.0011277468346184757, "train_loss": 3.7674343165755273, "test_loss": 1.2519923746585846, "test_acc1": 72.05000376586914, "test_acc5": 91.15800516357422, "epoch": 62, "n_parameters": 24106216} +{"train_lr": 0.0011238485491750045, "train_loss": 3.767346649855375, "test_loss": 1.2457754766499554, "test_acc1": 71.91400360717773, "test_acc5": 91.06400490722656, "epoch": 63, "n_parameters": 24106216} +{"train_lr": 0.0011198961076729222, "train_loss": 3.745609312981367, "test_loss": 1.25878677158444, "test_acc1": 72.00000376586914, "test_acc5": 91.19600473632812, "epoch": 64, "n_parameters": 24106216} +{"train_lr": 0.0011158899435420276, "train_loss": 3.7448943667411805, "test_loss": 1.2615261513877798, "test_acc1": 72.05600396118164, "test_acc5": 91.12000502929688, "epoch": 65, "n_parameters": 24106216} +{"train_lr": 0.0011118304961033106, "train_loss": 3.7367047196030616, "test_loss": 1.2510159766232525, "test_acc1": 72.0700037536621, "test_acc5": 91.30800500488282, "epoch": 66, "n_parameters": 24106216} +{"train_lr": 0.001107718210521005, "train_loss": 3.7374611803889275, "test_loss": 1.2755651487796396, "test_acc1": 72.02600372314453, "test_acc5": 91.16400516357422, "epoch": 67, "n_parameters": 24106216} +{"train_lr": 0.0011035535377534862, "train_loss": 3.732513407111168, "test_loss": 1.2282857950086947, "test_acc1": 72.2100039855957, "test_acc5": 91.23800499267578, "epoch": 68, "n_parameters": 24106216} +{"train_lr": 0.0010993369345040612, "train_loss": 3.7407071685791013, "test_loss": 1.2327191506822903, "test_acc1": 72.32600364990235, "test_acc5": 91.28600490722657, "epoch": 69, "n_parameters": 24106216} +{"train_lr": 0.001095068863170886, "train_loss": 3.7339571587741376, "test_loss": 1.2137998088642403, "test_acc1": 72.23600381469727, "test_acc5": 91.43200506591796, "epoch": 70, "n_parameters": 24106216} +{"train_lr": 0.0010907497917959992, "train_loss": 3.7168577462732793, "test_loss": 1.2209583813393559, "test_acc1": 72.6880038635254, "test_acc5": 91.3400049194336, "epoch": 71, "n_parameters": 24106216} +{"train_lr": 0.0010863801940142156, "train_loss": 3.7131262421309947, "test_loss": 1.2379512444690421, "test_acc1": 72.22200397338867, "test_acc5": 91.3080049194336, "epoch": 72, "n_parameters": 24106216} +{"train_lr": 0.0010819605490012601, "train_loss": 3.722710657984018, "test_loss": 1.213015566545504, "test_acc1": 72.30200379028321, "test_acc5": 91.46200511474609, "epoch": 73, "n_parameters": 24106216} +{"train_lr": 0.0010774913414209803, "train_loss": 3.713953275769949, "test_loss": 1.2187072913403865, "test_acc1": 72.76000375976562, "test_acc5": 91.572005078125, "epoch": 74, "n_parameters": 24106216} +{"train_lr": 0.0010729730613723302, "train_loss": 3.698103734344244, "test_loss": 1.1751269849914092, "test_acc1": 72.68200396728515, "test_acc5": 91.55000498046876, "epoch": 75, "n_parameters": 24106216} +{"train_lr": 0.001068406204335668, "train_loss": 3.705344970881939, "test_loss": 1.2312297677552257, "test_acc1": 72.44400385742188, "test_acc5": 91.43400512695312, "epoch": 76, "n_parameters": 24106216} +{"train_lr": 0.0010637912711182996, "train_loss": 3.6904712341427803, "test_loss": 1.1894988729446023, "test_acc1": 72.89600391845703, "test_acc5": 91.63600533447266, "epoch": 77, "n_parameters": 24106216} +{"train_lr": 0.0010591287677996705, "train_loss": 3.6947621109485627, "test_loss": 1.193413195234758, "test_acc1": 72.7300039428711, "test_acc5": 91.59000495605468, "epoch": 78, "n_parameters": 24106216} +{"train_lr": 0.0010544192056758123, "train_loss": 3.688751669436693, "test_loss": 1.1712894323799345, "test_acc1": 72.96000378417969, "test_acc5": 91.64800533447266, "epoch": 79, "n_parameters": 24106216} +{"train_lr": 0.0010496631012032519, "train_loss": 3.687024825245142, "test_loss": 1.202691619042997, "test_acc1": 72.90000385742188, "test_acc5": 91.76200534667969, "epoch": 80, "n_parameters": 24106216} +{"train_lr": 0.0010448609759424843, "train_loss": 3.681983016014099, "test_loss": 1.21124464245858, "test_acc1": 73.13600405273438, "test_acc5": 91.71600516357422, "epoch": 81, "n_parameters": 24106216} +{"train_lr": 0.001040013356500644, "train_loss": 3.679661948621273, "test_loss": 1.1856246481615085, "test_acc1": 73.31800379638672, "test_acc5": 91.78400521240235, "epoch": 82, "n_parameters": 24106216} +{"train_lr": 0.0010351207744738729, "train_loss": 3.67014494240284, "test_loss": 1.202785513467259, "test_acc1": 72.97200372924804, "test_acc5": 91.76600515136718, "epoch": 83, "n_parameters": 24106216} +{"train_lr": 0.0010301837663888576, "train_loss": 3.6764670819044114, "test_loss": 1.2193372401374358, "test_acc1": 72.95600402832031, "test_acc5": 91.70800518798828, "epoch": 84, "n_parameters": 24106216} +{"train_lr": 0.0010252028736441668, "train_loss": 3.667841073989868, "test_loss": 1.1951534256890968, "test_acc1": 73.01600370483398, "test_acc5": 91.81400479736328, "epoch": 85, "n_parameters": 24106216} +{"train_lr": 0.001020178642450879, "train_loss": 3.6741970789134504, "test_loss": 1.23420651698554, "test_acc1": 72.79400397949219, "test_acc5": 91.81000506591796, "epoch": 86, "n_parameters": 24106216} +{"train_lr": 0.0010151116237725486, "train_loss": 3.6638055356144905, "test_loss": 1.1519898758442313, "test_acc1": 73.32000408325196, "test_acc5": 91.90400502929687, "epoch": 87, "n_parameters": 24106216} +{"train_lr": 0.0010100023732648664, "train_loss": 3.649902922183275, "test_loss": 1.1942386304338772, "test_acc1": 73.31000391235352, "test_acc5": 91.99000485839844, "epoch": 88, "n_parameters": 24106216} +{"train_lr": 0.001004851451214657, "train_loss": 3.649155333429575, "test_loss": 1.1719312684403524, "test_acc1": 73.56600378417968, "test_acc5": 91.93600534667969, "epoch": 89, "n_parameters": 24106216} +{"train_lr": 0.0009996594224786983, "train_loss": 3.647150416344404, "test_loss": 1.1355179929071002, "test_acc1": 73.8260039855957, "test_acc5": 92.19600490722657, "epoch": 90, "n_parameters": 24106216} +{"train_lr": 0.0009944268564213486, "train_loss": 3.641627418488264, "test_loss": 1.1810780989902991, "test_acc1": 73.4200038696289, "test_acc5": 91.90800499267579, "epoch": 91, "n_parameters": 24106216} +{"train_lr": 0.0009891543268524476, "train_loss": 3.6378097373843192, "test_loss": 1.1690849385879658, "test_acc1": 73.43400393676758, "test_acc5": 91.94400506591796, "epoch": 92, "n_parameters": 24106216} +{"train_lr": 0.0009838424119643586, "train_loss": 3.63335538443923, "test_loss": 1.1818443379468389, "test_acc1": 73.6900037841797, "test_acc5": 92.04400499267578, "epoch": 93, "n_parameters": 24106216} +{"train_lr": 0.0009784916942683298, "train_loss": 3.6302231951355934, "test_loss": 1.192808273765776, "test_acc1": 73.61800401611328, "test_acc5": 92.11800500488282, "epoch": 94, "n_parameters": 24106216} +{"train_lr": 0.0009731027605308655, "train_loss": 3.6262719874978067, "test_loss": 1.180455740403246, "test_acc1": 73.83400396728516, "test_acc5": 92.22600506591797, "epoch": 95, "n_parameters": 24106216} +{"train_lr": 0.0009676762017093371, "train_loss": 3.632746909797192, "test_loss": 1.1522057550372902, "test_acc1": 73.80600391845704, "test_acc5": 92.29400521240234, "epoch": 96, "n_parameters": 24106216} +{"train_lr": 0.0009622126128869811, "train_loss": 3.6193666542768477, "test_loss": 1.1439778672324286, "test_acc1": 73.61600393676758, "test_acc5": 92.04400509033204, "epoch": 97, "n_parameters": 24106216} +{"train_lr": 0.0009567125932079516, "train_loss": 3.6094250963032244, "test_loss": 1.164342234256091, "test_acc1": 73.60200390014649, "test_acc5": 92.06000506591796, "epoch": 98, "n_parameters": 24106216} +{"train_lr": 0.0009511767458113497, "train_loss": 3.6210976864099504, "test_loss": 1.195374470618036, "test_acc1": 73.78000409545898, "test_acc5": 92.040005078125, "epoch": 99, "n_parameters": 24106216} +{"train_lr": 0.0009456056777652429, "train_loss": 3.5932622019648552, "test_loss": 1.1821013225449457, "test_acc1": 73.77200393066406, "test_acc5": 92.11000501708985, "epoch": 100, "n_parameters": 24106216} +{"train_lr": 0.0009400000000000227, "train_loss": 3.6030940065234898, "test_loss": 1.155319255259302, "test_acc1": 73.76800391845703, "test_acc5": 92.3240049560547, "epoch": 101, "n_parameters": 24106216} +{"train_lr": 0.0009343603272413742, "train_loss": 3.5936081698834896, "test_loss": 1.1324069378552613, "test_acc1": 74.0940039855957, "test_acc5": 92.30200518798829, "epoch": 102, "n_parameters": 24106216} +{"train_lr": 0.0009286872779430482, "train_loss": 3.599369326800108, "test_loss": 1.1619404170800138, "test_acc1": 74.0480040283203, "test_acc5": 92.43200500488281, "epoch": 103, "n_parameters": 24106216} +{"train_lr": 0.0009229814742187941, "train_loss": 3.5892515239417553, "test_loss": 1.1586112297243543, "test_acc1": 74.11200382080078, "test_acc5": 92.40000498046875, "epoch": 104, "n_parameters": 24106216} +{"train_lr": 0.000917243541774331, "train_loss": 3.5928995987474917, "test_loss": 1.1729069048607792, "test_acc1": 73.86800381469726, "test_acc5": 92.37800513916015, "epoch": 105, "n_parameters": 24106216} +{"train_lr": 0.0009114741098385021, "train_loss": 3.582173924386501, "test_loss": 1.1758026820090082, "test_acc1": 73.77000364379883, "test_acc5": 92.20000501708985, "epoch": 106, "n_parameters": 24106216} +{"train_lr": 0.0009056738110946389, "train_loss": 3.586464711278677, "test_loss": 1.1489046652007986, "test_acc1": 74.11200376586915, "test_acc5": 92.51800521240234, "epoch": 107, "n_parameters": 24106216} +{"train_lr": 0.0008998432816108552, "train_loss": 3.5707189862430098, "test_loss": 1.158327546108652, "test_acc1": 74.3680041809082, "test_acc5": 92.3300047241211, "epoch": 108, "n_parameters": 24106216} +{"train_lr": 0.0008939831607703592, "train_loss": 3.575123503535986, "test_loss": 1.1367736122122518, "test_acc1": 74.63000407104492, "test_acc5": 92.60400506591797, "epoch": 109, "n_parameters": 24106216} +{"train_lr": 0.0008880940912014668, "train_loss": 3.57016714297235, "test_loss": 1.1578463315963745, "test_acc1": 74.19600415039062, "test_acc5": 92.34600524902343, "epoch": 110, "n_parameters": 24106216} +{"train_lr": 0.0008821767187070193, "train_loss": 3.566488652318716, "test_loss": 1.1377138078764633, "test_acc1": 74.28800391845704, "test_acc5": 92.49800485839843, "epoch": 111, "n_parameters": 24106216} +{"train_lr": 0.0008762316921935539, "train_loss": 3.5594828301370143, "test_loss": 1.1386544149782922, "test_acc1": 74.31600396118164, "test_acc5": 92.56000522460937, "epoch": 112, "n_parameters": 24106216} +{"train_lr": 0.0008702596636003183, "train_loss": 3.5695921320170165, "test_loss": 1.126942495091094, "test_acc1": 74.39400391235351, "test_acc5": 92.48800521240234, "epoch": 113, "n_parameters": 24106216} +{"train_lr": 0.0008642612878274595, "train_loss": 3.569069430232048, "test_loss": 1.149344398467629, "test_acc1": 74.48600393066407, "test_acc5": 92.596005078125, "epoch": 114, "n_parameters": 24106216} +{"train_lr": 0.0008582372226645115, "train_loss": 3.5539575637578964, "test_loss": 1.1463305630065777, "test_acc1": 74.51600399169922, "test_acc5": 92.66800535888672, "epoch": 115, "n_parameters": 24106216} +{"train_lr": 0.0008521881287180972, "train_loss": 3.552093474507332, "test_loss": 1.1334857913079086, "test_acc1": 74.8000039489746, "test_acc5": 92.70400498046875, "epoch": 116, "n_parameters": 24106216} +{"train_lr": 0.0008461146693395127, "train_loss": 3.545064780175686, "test_loss": 1.1261480809361846, "test_acc1": 74.68600430297852, "test_acc5": 92.6520052734375, "epoch": 117, "n_parameters": 24106216} +{"train_lr": 0.0008400175105520729, "train_loss": 3.53641934633255, "test_loss": 1.1238826071774517, "test_acc1": 74.43600405273438, "test_acc5": 92.72600489501953, "epoch": 118, "n_parameters": 24106216} +{"train_lr": 0.0008338973209779325, "train_loss": 3.5424098806381226, "test_loss": 1.1037296674869679, "test_acc1": 74.62400409545899, "test_acc5": 92.74200510253907, "epoch": 119, "n_parameters": 24106216} +{"train_lr": 0.0008277547717647853, "train_loss": 3.536599265962839, "test_loss": 1.1055484215418498, "test_acc1": 74.65600407714844, "test_acc5": 92.7000049194336, "epoch": 120, "n_parameters": 24106216} +{"train_lr": 0.0008215905365124562, "train_loss": 3.5271435806006193, "test_loss": 1.0788474085706252, "test_acc1": 74.88800427856445, "test_acc5": 92.73400518798829, "epoch": 121, "n_parameters": 24106216} +{"train_lr": 0.0008154052911987567, "train_loss": 3.532566266000271, "test_loss": 1.1101446982335161, "test_acc1": 74.93800406494141, "test_acc5": 92.89200490722656, "epoch": 122, "n_parameters": 24106216} +{"train_lr": 0.0008091997141055626, "train_loss": 3.5136356408298015, "test_loss": 1.1472331111629803, "test_acc1": 74.9800041015625, "test_acc5": 92.936005078125, "epoch": 123, "n_parameters": 24106216} +{"train_lr": 0.0008029744857443164, "train_loss": 3.529014693811536, "test_loss": 1.1128875174456172, "test_acc1": 74.85000408325196, "test_acc5": 92.7860048828125, "epoch": 124, "n_parameters": 24106216} +{"train_lr": 0.0007967302887814663, "train_loss": 3.513992625325918, "test_loss": 1.0947383473868724, "test_acc1": 75.08200415649414, "test_acc5": 92.76200516357422, "epoch": 125, "n_parameters": 24106216} +{"train_lr": 0.0007904678079635532, "train_loss": 3.518885370582342, "test_loss": 1.0751290575221732, "test_acc1": 75.01000424194336, "test_acc5": 92.83400516357422, "epoch": 126, "n_parameters": 24106216} +{"train_lr": 0.0007841877300421939, "train_loss": 3.510451225221157, "test_loss": 1.096645563426945, "test_acc1": 75.14400393066406, "test_acc5": 92.88200516357422, "epoch": 127, "n_parameters": 24106216} +{"train_lr": 0.0007778907436987171, "train_loss": 3.500187058866024, "test_loss": 1.0890106834747173, "test_acc1": 75.09200410766601, "test_acc5": 92.93000490722656, "epoch": 128, "n_parameters": 24106216} +{"train_lr": 0.0007715775394686239, "train_loss": 3.511883136346936, "test_loss": 1.1074308493623026, "test_acc1": 75.30200414428711, "test_acc5": 92.90600516357422, "epoch": 129, "n_parameters": 24106216} +{"train_lr": 0.0007652488096658586, "train_loss": 3.5078896221220495, "test_loss": 1.1000324650495141, "test_acc1": 75.32000402832031, "test_acc5": 92.99400506591797, "epoch": 130, "n_parameters": 24106216} +{"train_lr": 0.0007589052483070163, "train_loss": 3.4899099462628365, "test_loss": 1.1071955591992095, "test_acc1": 75.00200408935547, "test_acc5": 92.8880048828125, "epoch": 131, "n_parameters": 24106216} +{"train_lr": 0.0007525475510350503, "train_loss": 3.4974829872846604, "test_loss": 1.0645826704524182, "test_acc1": 75.34800419921875, "test_acc5": 92.97600463867188, "epoch": 132, "n_parameters": 24106216} +{"train_lr": 0.0007461764150431534, "train_loss": 3.503699901282787, "test_loss": 1.08938006532413, "test_acc1": 75.28600428466797, "test_acc5": 92.87200501708985, "epoch": 133, "n_parameters": 24106216} +{"train_lr": 0.0007397925389981409, "train_loss": 3.489741263985634, "test_loss": 1.0875394381582737, "test_acc1": 75.3320041809082, "test_acc5": 92.96800511474609, "epoch": 134, "n_parameters": 24106216} +{"train_lr": 0.0007333966229640014, "train_loss": 3.48233740529418, "test_loss": 1.1131690732306905, "test_acc1": 75.4740038635254, "test_acc5": 92.97800502929688, "epoch": 135, "n_parameters": 24106216} +{"train_lr": 0.0007269893683249381, "train_loss": 3.482793799251318, "test_loss": 1.0892441145799778, "test_acc1": 75.5420040283203, "test_acc5": 93.00800520019531, "epoch": 136, "n_parameters": 24106216} +{"train_lr": 0.0007205714777086898, "train_loss": 3.4705182609409095, "test_loss": 1.1285978815069906, "test_acc1": 75.33200401000977, "test_acc5": 92.9660053955078, "epoch": 137, "n_parameters": 24106216} +{"train_lr": 0.0007141436549092842, "train_loss": 3.463878395572305, "test_loss": 1.0781203880906105, "test_acc1": 75.60000414428711, "test_acc5": 93.20000510253907, "epoch": 138, "n_parameters": 24106216} +{"train_lr": 0.0007077066048098696, "train_loss": 3.47059092284739, "test_loss": 1.092491043938531, "test_acc1": 75.76200446166992, "test_acc5": 93.12200480957031, "epoch": 139, "n_parameters": 24106216} +{"train_lr": 0.0007012610333055865, "train_loss": 3.4696631206423043, "test_loss": 1.063193996609361, "test_acc1": 75.66600419921875, "test_acc5": 93.1840048828125, "epoch": 140, "n_parameters": 24106216} +{"train_lr": 0.0006948076472259564, "train_loss": 3.461814341440797, "test_loss": 1.0804983667201467, "test_acc1": 75.7880042541504, "test_acc5": 93.1000053466797, "epoch": 141, "n_parameters": 24106216} +{"train_lr": 0.0006883471542574745, "train_loss": 3.459596886456013, "test_loss": 1.0690552297013778, "test_acc1": 75.85000396728516, "test_acc5": 93.22600524902344, "epoch": 142, "n_parameters": 24106216} +{"train_lr": 0.0006818802628660457, "train_loss": 3.4499996791779997, "test_loss": 1.0739905144329425, "test_acc1": 75.92600419921875, "test_acc5": 93.27400523681641, "epoch": 143, "n_parameters": 24106216} +{"train_lr": 0.0006754076822191458, "train_loss": 3.445595112487674, "test_loss": 1.0493570145357538, "test_acc1": 75.94800420532226, "test_acc5": 93.430005078125, "epoch": 144, "n_parameters": 24106216} +{"train_lr": 0.0006689301221081836, "train_loss": 3.4492845079004764, "test_loss": 1.0826599531703525, "test_acc1": 75.77400435791016, "test_acc5": 93.25200515136719, "epoch": 145, "n_parameters": 24106216} +{"train_lr": 0.0006624482928706229, "train_loss": 3.439875752300024, "test_loss": 1.0558430551102869, "test_acc1": 75.8960041381836, "test_acc5": 93.37600520019531, "epoch": 146, "n_parameters": 24106216} +{"train_lr": 0.0006559629053121109, "train_loss": 3.4449693131148815, "test_loss": 1.0638307752432647, "test_acc1": 75.89400416870117, "test_acc5": 93.35600509033203, "epoch": 147, "n_parameters": 24106216} +{"train_lr": 0.0006494746706284456, "train_loss": 3.43244423225522, "test_loss": 1.07889688566879, "test_acc1": 75.77000419921875, "test_acc5": 93.36800506591797, "epoch": 148, "n_parameters": 24106216} +{"train_lr": 0.0006429843003276854, "train_loss": 3.4356046917140484, "test_loss": 1.0686531555321481, "test_acc1": 75.94000408935547, "test_acc5": 93.42200484619141, "epoch": 149, "n_parameters": 24106216} +{"train_lr": 0.0006364925061520621, "train_loss": 3.4262935486882924, "test_loss": 1.047235138024445, "test_acc1": 75.98400399780273, "test_acc5": 93.39000517578125, "epoch": 150, "n_parameters": 24106216} +{"train_lr": 0.0006300000000000105, "train_loss": 3.4155477509200574, "test_loss": 1.0550677218922861, "test_acc1": 76.14800398559571, "test_acc5": 93.38400509033202, "epoch": 151, "n_parameters": 24106216} +{"train_lr": 0.000623507493847919, "train_loss": 3.4200672205537557, "test_loss": 1.0520875651251387, "test_acc1": 76.4020041381836, "test_acc5": 93.59000524902343, "epoch": 152, "n_parameters": 24106216} +{"train_lr": 0.0006170156996723187, "train_loss": 3.4169997904896734, "test_loss": 1.0411282384561167, "test_acc1": 76.21200423583984, "test_acc5": 93.56400532226563, "epoch": 153, "n_parameters": 24106216} +{"train_lr": 0.0006105253293715586, "train_loss": 3.420790121525526, "test_loss": 1.0687385994803023, "test_acc1": 76.24000407714844, "test_acc5": 93.53400517578125, "epoch": 154, "n_parameters": 24106216} +{"train_lr": 0.0006040370946878913, "train_loss": 3.4073502252697945, "test_loss": 1.0632397866359464, "test_acc1": 76.40000436401367, "test_acc5": 93.5040049194336, "epoch": 155, "n_parameters": 24106216} +{"train_lr": 0.0005975517071293819, "train_loss": 3.4024132792651653, "test_loss": 1.0195858897986236, "test_acc1": 76.49000399780273, "test_acc5": 93.54400499267578, "epoch": 156, "n_parameters": 24106216} +{"train_lr": 0.0005910698778918172, "train_loss": 3.4018243485689164, "test_loss": 1.0549776062921241, "test_acc1": 76.20200421752929, "test_acc5": 93.61800526123046, "epoch": 157, "n_parameters": 24106216} +{"train_lr": 0.0005845923177808611, "train_loss": 3.391831534832716, "test_loss": 1.0648418064746592, "test_acc1": 76.42400429077148, "test_acc5": 93.61200499267578, "epoch": 158, "n_parameters": 24106216} +{"train_lr": 0.0005781197371339559, "train_loss": 3.384596162378788, "test_loss": 1.055394011515158, "test_acc1": 76.60600432128906, "test_acc5": 93.52600504150391, "epoch": 159, "n_parameters": 24106216} +{"train_lr": 0.0005716528457425195, "train_loss": 3.393890353038907, "test_loss": 1.02877123888444, "test_acc1": 76.42600441284179, "test_acc5": 93.60000501708984, "epoch": 160, "n_parameters": 24106216} +{"train_lr": 0.0005651923527740677, "train_loss": 3.3889250714331864, "test_loss": 1.0148998054641265, "test_acc1": 76.5360040283203, "test_acc5": 93.59200480957031, "epoch": 161, "n_parameters": 24106216} +{"train_lr": 0.0005587389666944373, "train_loss": 3.379422653853893, "test_loss": 1.0654706651413883, "test_acc1": 76.35800462036133, "test_acc5": 93.62000517578124, "epoch": 162, "n_parameters": 24106216} +{"train_lr": 0.0005522933951901373, "train_loss": 3.3833856148272754, "test_loss": 1.029617483969088, "test_acc1": 76.8300041381836, "test_acc5": 93.66800517578125, "epoch": 163, "n_parameters": 24106216} +{"train_lr": 0.0005458563450907417, "train_loss": 3.3725429608970883, "test_loss": 1.0579420659277174, "test_acc1": 76.57600459594727, "test_acc5": 93.68600515136718, "epoch": 164, "n_parameters": 24106216} +{"train_lr": 0.000539428522291313, "train_loss": 3.365507691025734, "test_loss": 1.0460234534133364, "test_acc1": 76.63600423583985, "test_acc5": 93.67200524902344, "epoch": 165, "n_parameters": 24106216} +{"train_lr": 0.0005330106316750525, "train_loss": 3.366674156367779, "test_loss": 1.0152468982118148, "test_acc1": 76.83400440673829, "test_acc5": 93.73000526123047, "epoch": 166, "n_parameters": 24106216} +{"train_lr": 0.0005266033770360246, "train_loss": 3.362324095547199, "test_loss": 1.032787255252953, "test_acc1": 76.86400424194336, "test_acc5": 93.75600493164063, "epoch": 167, "n_parameters": 24106216} +{"train_lr": 0.0005202074610018549, "train_loss": 3.3555745470225813, "test_loss": 1.0114408164388604, "test_acc1": 77.01600438842773, "test_acc5": 93.88800494384766, "epoch": 168, "n_parameters": 24106216} +{"train_lr": 0.0005138235849568437, "train_loss": 3.3529785799384118, "test_loss": 1.04862379061955, "test_acc1": 77.04600420532226, "test_acc5": 93.8180050048828, "epoch": 169, "n_parameters": 24106216} +{"train_lr": 0.000507452448964941, "train_loss": 3.3543607211411, "test_loss": 1.014969859548189, "test_acc1": 77.188004296875, "test_acc5": 93.74000515136719, "epoch": 170, "n_parameters": 24106216} +{"train_lr": 0.0005010947516929787, "train_loss": 3.348523684933782, "test_loss": 0.9997359831575994, "test_acc1": 77.07200440673829, "test_acc5": 94.01000556640625, "epoch": 171, "n_parameters": 24106216} +{"train_lr": 0.00049475119033415, "train_loss": 3.3422499017715452, "test_loss": 1.0062873208964314, "test_acc1": 76.99800438842773, "test_acc5": 93.922005078125, "epoch": 172, "n_parameters": 24106216} +{"train_lr": 0.0004884224605313898, "train_loss": 3.3419008432626724, "test_loss": 1.00325265209432, "test_acc1": 76.98400431518554, "test_acc5": 93.99800509033203, "epoch": 173, "n_parameters": 24106216} +{"train_lr": 0.00048210925630126996, "train_loss": 3.332598694846034, "test_loss": 1.0117203052397128, "test_acc1": 77.06600430297851, "test_acc5": 93.93400515136719, "epoch": 174, "n_parameters": 24106216} +{"train_lr": 0.00047581226995779553, "train_loss": 3.326516041085124, "test_loss": 1.0020786287883918, "test_acc1": 77.24600426635742, "test_acc5": 94.01800500488281, "epoch": 175, "n_parameters": 24106216} +{"train_lr": 0.0004695321920364371, "train_loss": 3.3264727542102337, "test_loss": 1.0200258831459064, "test_acc1": 77.42800424194336, "test_acc5": 94.09000499267579, "epoch": 176, "n_parameters": 24106216} +{"train_lr": 0.0004632697112185289, "train_loss": 3.324969885453582, "test_loss": 1.008157550184815, "test_acc1": 76.92200422363281, "test_acc5": 93.88200494384766, "epoch": 177, "n_parameters": 24106216} +{"train_lr": 0.0004570255142556819, "train_loss": 3.3241507281512024, "test_loss": 0.9994815546605322, "test_acc1": 77.30600446777343, "test_acc5": 94.00200496826172, "epoch": 178, "n_parameters": 24106216} +{"train_lr": 0.00045080028589443574, "train_loss": 3.3104174875319003, "test_loss": 0.9765381728885351, "test_acc1": 77.6140045715332, "test_acc5": 94.1280052368164, "epoch": 179, "n_parameters": 24106216} +{"train_lr": 0.0004445947088012194, "train_loss": 3.301292107194662, "test_loss": 0.9693798926417474, "test_acc1": 77.44000435180664, "test_acc5": 94.08000557861328, "epoch": 180, "n_parameters": 24106216} +{"train_lr": 0.00043840946348753986, "train_loss": 3.2937203740030525, "test_loss": 1.03307115410765, "test_acc1": 77.47000448608398, "test_acc5": 94.08600480957031, "epoch": 181, "n_parameters": 24106216} +{"train_lr": 0.0004322452282352031, "train_loss": 3.2963375917077062, "test_loss": 0.9963034812223028, "test_acc1": 77.60000450439453, "test_acc5": 94.10000495605469, "epoch": 182, "n_parameters": 24106216} +{"train_lr": 0.00042610267902208485, "train_loss": 3.2996852584779264, "test_loss": 0.9898732721253678, "test_acc1": 77.5260041381836, "test_acc5": 94.16400499267579, "epoch": 183, "n_parameters": 24106216} +{"train_lr": 0.00041998248944791515, "train_loss": 3.2910056223124267, "test_loss": 0.9780228910622774, "test_acc1": 77.37200444335937, "test_acc5": 94.20000499267579, "epoch": 184, "n_parameters": 24106216} +{"train_lr": 0.0004138853306604849, "train_loss": 3.29458553647995, "test_loss": 1.003654923427988, "test_acc1": 77.57400432739257, "test_acc5": 94.15400487060546, "epoch": 185, "n_parameters": 24106216} +{"train_lr": 0.0004078118712819156, "train_loss": 3.290191769272089, "test_loss": 0.9815852797969624, "test_acc1": 77.48800447998048, "test_acc5": 94.17400501708984, "epoch": 186, "n_parameters": 24106216} +{"train_lr": 0.0004017627773355014, "train_loss": 3.2819731951206923, "test_loss": 0.9635283686220646, "test_acc1": 77.70600461425781, "test_acc5": 94.116005078125, "epoch": 187, "n_parameters": 24106216} +{"train_lr": 0.00039573871217256004, "train_loss": 3.2720747804641723, "test_loss": 1.0000574603952743, "test_acc1": 77.52000440673828, "test_acc5": 94.19800499267578, "epoch": 188, "n_parameters": 24106216} +{"train_lr": 0.00038974033639969946, "train_loss": 3.277215052455664, "test_loss": 0.9873636777478235, "test_acc1": 77.6400043334961, "test_acc5": 94.1420051147461, "epoch": 189, "n_parameters": 24106216} +{"train_lr": 0.0003837683078064391, "train_loss": 3.264689819738269, "test_loss": 0.9725608860177023, "test_acc1": 77.78800442504883, "test_acc5": 94.29800510253907, "epoch": 190, "n_parameters": 24106216} +{"train_lr": 0.0003778232812930021, "train_loss": 3.260754951030016, "test_loss": 1.0107660628855228, "test_acc1": 77.75800438232422, "test_acc5": 94.23600521240235, "epoch": 191, "n_parameters": 24106216} +{"train_lr": 0.0003719059087985459, "train_loss": 3.250268711656332, "test_loss": 0.9728966595398055, "test_acc1": 77.90600434570312, "test_acc5": 94.3340051513672, "epoch": 192, "n_parameters": 24106216} +{"train_lr": 0.00036601683922965483, "train_loss": 3.257158693224192, "test_loss": 0.9700358607978733, "test_acc1": 77.97600455322265, "test_acc5": 94.4800050415039, "epoch": 193, "n_parameters": 24106216} +{"train_lr": 0.0003601567183891628, "train_loss": 3.2409567886292936, "test_loss": 0.9614612985816267, "test_acc1": 78.0480044555664, "test_acc5": 94.3980048828125, "epoch": 194, "n_parameters": 24106216} +{"train_lr": 0.0003543261889053504, "train_loss": 3.241032668367028, "test_loss": 0.9764751516006611, "test_acc1": 78.27800467529296, "test_acc5": 94.466005078125, "epoch": 195, "n_parameters": 24106216} +{"train_lr": 0.0003485258901614847, "train_loss": 3.2397547681331633, "test_loss": 0.9400773409892011, "test_acc1": 78.3380046447754, "test_acc5": 94.52800485839843, "epoch": 196, "n_parameters": 24106216} +{"train_lr": 0.00034275645822568054, "train_loss": 3.233496492192149, "test_loss": 0.9589429042405553, "test_acc1": 78.17000447387696, "test_acc5": 94.48600495605469, "epoch": 197, "n_parameters": 24106216} +{"train_lr": 0.00033701852578118266, "train_loss": 3.2306749966293573, "test_loss": 0.9695308656880149, "test_acc1": 78.06800432128907, "test_acc5": 94.41600526123047, "epoch": 198, "n_parameters": 24106216} +{"train_lr": 0.000331312722056941, "train_loss": 3.22999482883513, "test_loss": 0.9555392226687184, "test_acc1": 78.30600455322265, "test_acc5": 94.43400490722657, "epoch": 199, "n_parameters": 24106216} +{"train_lr": 0.000325639672758615, "train_loss": 3.2191574945896866, "test_loss": 0.9718392255405585, "test_acc1": 78.31000465087891, "test_acc5": 94.48800510253906, "epoch": 200, "n_parameters": 24106216} +{"train_lr": 0.00031999999999999233, "train_loss": 3.210437662899494, "test_loss": 0.9673135541379452, "test_acc1": 78.29200434570312, "test_acc5": 94.4280051147461, "epoch": 201, "n_parameters": 24106216} +{"train_lr": 0.0003143943222347721, "train_loss": 3.2110543030798437, "test_loss": 0.9470513538905868, "test_acc1": 78.52400445556641, "test_acc5": 94.49200523681641, "epoch": 202, "n_parameters": 24106216} +{"train_lr": 0.00030882325418866155, "train_loss": 3.203830298677087, "test_loss": 0.9411441635478426, "test_acc1": 78.44800446777344, "test_acc5": 94.53800487060546, "epoch": 203, "n_parameters": 24106216} +{"train_lr": 0.00030328740679206283, "train_loss": 3.203956079825759, "test_loss": 0.9442829627681661, "test_acc1": 78.38400463867187, "test_acc5": 94.62800545654297, "epoch": 204, "n_parameters": 24106216} +{"train_lr": 0.00029778738711302104, "train_loss": 3.2054768063873054, "test_loss": 0.9402383523130858, "test_acc1": 78.40400456542969, "test_acc5": 94.55800529785157, "epoch": 205, "n_parameters": 24106216} +{"train_lr": 0.00029232379829068896, "train_loss": 3.20214169344306, "test_loss": 0.95093101773549, "test_acc1": 78.44600463867188, "test_acc5": 94.55600501708984, "epoch": 206, "n_parameters": 24106216} +{"train_lr": 0.0002868972394691239, "train_loss": 3.188258729979396, "test_loss": 0.9518033136372213, "test_acc1": 78.76800456542969, "test_acc5": 94.55600493164063, "epoch": 207, "n_parameters": 24106216} +{"train_lr": 0.00028150830573167937, "train_loss": 3.1920568106621503, "test_loss": 0.9381689917710092, "test_acc1": 78.60800485839843, "test_acc5": 94.6360052368164, "epoch": 208, "n_parameters": 24106216} +{"train_lr": 0.0002761575880356512, "train_loss": 3.177510639742017, "test_loss": 0.9352914260493385, "test_acc1": 78.7040048095703, "test_acc5": 94.64400531005859, "epoch": 209, "n_parameters": 24106216} +{"train_lr": 0.0002708456731475368, "train_loss": 3.171006858497858, "test_loss": 0.9272331646471111, "test_acc1": 78.7520046081543, "test_acc5": 94.69200509033203, "epoch": 210, "n_parameters": 24106216} +{"train_lr": 0.00026557314357866785, "train_loss": 3.170856476828456, "test_loss": 0.9528224515142264, "test_acc1": 78.83600427246094, "test_acc5": 94.71600490722656, "epoch": 211, "n_parameters": 24106216} +{"train_lr": 0.0002603405775213137, "train_loss": 3.1726503008455036, "test_loss": 0.9408938629483735, "test_acc1": 78.8800048828125, "test_acc5": 94.58800517578125, "epoch": 212, "n_parameters": 24106216} +{"train_lr": 0.0002551485487853317, "train_loss": 3.1611244425922633, "test_loss": 0.9087381491230594, "test_acc1": 78.9280047241211, "test_acc5": 94.75400480957032, "epoch": 213, "n_parameters": 24106216} +{"train_lr": 0.00024999762673515906, "train_loss": 3.1642801079452036, "test_loss": 0.9281593846778075, "test_acc1": 79.17400485839843, "test_acc5": 94.85000502929688, "epoch": 214, "n_parameters": 24106216} +{"train_lr": 0.0002448883762274434, "train_loss": 3.1521499838531017, "test_loss": 0.9135656959756657, "test_acc1": 79.08400455322266, "test_acc5": 94.83600522460938, "epoch": 215, "n_parameters": 24106216} +{"train_lr": 0.00023982135754910245, "train_loss": 3.1518370587676765, "test_loss": 0.9126020080789372, "test_acc1": 79.19200458984375, "test_acc5": 94.72800528564453, "epoch": 216, "n_parameters": 24106216} +{"train_lr": 0.0002347971263558166, "train_loss": 3.147251754537225, "test_loss": 0.9468303282779676, "test_acc1": 78.98200440673828, "test_acc5": 94.78400531005859, "epoch": 217, "n_parameters": 24106216} +{"train_lr": 0.00022981623361115184, "train_loss": 3.1361534819751977, "test_loss": 0.9175481861112295, "test_acc1": 79.11800480957031, "test_acc5": 94.77800512695312, "epoch": 218, "n_parameters": 24106216} +{"train_lr": 0.00022487922552613633, "train_loss": 3.136329180151224, "test_loss": 0.9300233218129035, "test_acc1": 79.00000444335937, "test_acc5": 94.77000483398437, "epoch": 219, "n_parameters": 24106216} +{"train_lr": 0.00021998664349934051, "train_loss": 3.1339663069695236, "test_loss": 0.9120928349870222, "test_acc1": 79.08400506591796, "test_acc5": 94.77200498046875, "epoch": 220, "n_parameters": 24106216} +{"train_lr": 0.000215139024057509, "train_loss": 3.1243133362680675, "test_loss": 0.9076626364279676, "test_acc1": 79.33000451660156, "test_acc5": 94.9000051147461, "epoch": 221, "n_parameters": 24106216} +{"train_lr": 0.00021033689879674513, "train_loss": 3.123324843019247, "test_loss": 0.8994620441010704, "test_acc1": 79.16800476074219, "test_acc5": 94.93000513916016, "epoch": 222, "n_parameters": 24106216} +{"train_lr": 0.00020558079432420889, "train_loss": 3.1220828637331723, "test_loss": 0.9103667624294758, "test_acc1": 79.34600480957032, "test_acc5": 94.96200512695313, "epoch": 223, "n_parameters": 24106216} +{"train_lr": 0.00020087123220035279, "train_loss": 3.1140248075276613, "test_loss": 0.9215749078602703, "test_acc1": 79.53000457763672, "test_acc5": 94.89800504150391, "epoch": 224, "n_parameters": 24106216} +{"train_lr": 0.00019620872888171008, "train_loss": 3.1040279679149387, "test_loss": 0.9138497668835852, "test_acc1": 79.41200462646485, "test_acc5": 95.00600524902343, "epoch": 225, "n_parameters": 24106216} +{"train_lr": 0.00019159379566433834, "train_loss": 3.104742958262563, "test_loss": 0.9079068252057941, "test_acc1": 79.56600460205078, "test_acc5": 95.04200516357422, "epoch": 226, "n_parameters": 24106216} +{"train_lr": 0.00018702693862766162, "train_loss": 3.1039786530286073, "test_loss": 0.915115965185342, "test_acc1": 79.55000491943359, "test_acc5": 94.99800523681641, "epoch": 227, "n_parameters": 24106216} +{"train_lr": 0.00018250865857901541, "train_loss": 3.0963307102918627, "test_loss": 0.9053966465095679, "test_acc1": 79.39400476074219, "test_acc5": 95.03000482177734, "epoch": 228, "n_parameters": 24106216} +{"train_lr": 0.0001780394509987274, "train_loss": 3.0895843769907954, "test_loss": 0.904679376218054, "test_acc1": 79.4500046875, "test_acc5": 95.04600498046875, "epoch": 229, "n_parameters": 24106216} +{"train_lr": 0.00017361980598576412, "train_loss": 3.080650296524167, "test_loss": 0.9112503739694754, "test_acc1": 79.68000482177735, "test_acc5": 94.99000522460938, "epoch": 230, "n_parameters": 24106216} +{"train_lr": 0.00016925020820401728, "train_loss": 3.0765829269737006, "test_loss": 0.9088085234441139, "test_acc1": 79.5560048461914, "test_acc5": 95.02800509033203, "epoch": 231, "n_parameters": 24106216} +{"train_lr": 0.00016493113682911276, "train_loss": 3.0777415998876094, "test_loss": 0.908024839229054, "test_acc1": 79.6840047241211, "test_acc5": 95.072005078125, "epoch": 232, "n_parameters": 24106216} +{"train_lr": 0.00016066306549591134, "train_loss": 3.066401726037264, "test_loss": 0.8854005874858962, "test_acc1": 79.83000467529297, "test_acc5": 95.14400494384766, "epoch": 233, "n_parameters": 24106216} +{"train_lr": 0.00015644646224652318, "train_loss": 3.0704121525734664, "test_loss": 0.90461532274882, "test_acc1": 79.82800471191406, "test_acc5": 95.09000505371094, "epoch": 234, "n_parameters": 24106216} +{"train_lr": 0.00015228178947901335, "train_loss": 3.069008496329188, "test_loss": 0.8967400622312669, "test_acc1": 79.84600483398438, "test_acc5": 95.10600513916016, "epoch": 235, "n_parameters": 24106216} +{"train_lr": 0.00014816950389667796, "train_loss": 3.0511977681815625, "test_loss": 0.8985421734827536, "test_acc1": 79.73000490722656, "test_acc5": 95.06200505371093, "epoch": 236, "n_parameters": 24106216} +{"train_lr": 0.00014411005645798, "train_loss": 3.051007819712162, "test_loss": 0.892045988390843, "test_acc1": 79.90800480957031, "test_acc5": 95.13000493164063, "epoch": 237, "n_parameters": 24106216} +{"train_lr": 0.00014010389232707354, "train_loss": 3.048807823985815, "test_loss": 0.8916912964648671, "test_acc1": 80.01800467529297, "test_acc5": 95.14000522460937, "epoch": 238, "n_parameters": 24106216} +{"train_lr": 0.00013615145082499966, "train_loss": 3.0433648550361396, "test_loss": 0.8919432385376206, "test_acc1": 79.71600463867188, "test_acc5": 95.17800528564453, "epoch": 239, "n_parameters": 24106216} +{"train_lr": 0.00013225316538151042, "train_loss": 3.039906245842576, "test_loss": 0.8873664994758589, "test_acc1": 80.08000485839844, "test_acc5": 95.222005078125, "epoch": 240, "n_parameters": 24106216} +{"train_lr": 0.0001284094634875348, "train_loss": 3.040916676059365, "test_loss": 0.8806173932497148, "test_acc1": 80.05600485839844, "test_acc5": 95.20800502929687, "epoch": 241, "n_parameters": 24106216} +{"train_lr": 0.00012462076664829501, "train_loss": 3.0380045693963766, "test_loss": 0.8888979943262206, "test_acc1": 79.93800466308593, "test_acc5": 95.28200506591797, "epoch": 242, "n_parameters": 24106216} +{"train_lr": 0.00012088749033710425, "train_loss": 3.0134953652620315, "test_loss": 0.8895010726043472, "test_acc1": 80.01400474853516, "test_acc5": 95.27600512695312, "epoch": 243, "n_parameters": 24106216} +{"train_lr": 0.00011721004394976994, "train_loss": 3.0255118935704233, "test_loss": 0.879025566081206, "test_acc1": 80.21400480957031, "test_acc5": 95.28800509033204, "epoch": 244, "n_parameters": 24106216} +{"train_lr": 0.00011358883075973727, "train_loss": 3.0124014007151128, "test_loss": 0.8720596707253544, "test_acc1": 80.18000496826171, "test_acc5": 95.38400524902343, "epoch": 245, "n_parameters": 24106216} +{"train_lr": 0.00011002424787383593, "train_loss": 3.0167447599321604, "test_loss": 0.8714299048814509, "test_acc1": 80.23200467529297, "test_acc5": 95.27000534667968, "epoch": 246, "n_parameters": 24106216} +{"train_lr": 0.00010651668618874898, "train_loss": 3.0073486543893813, "test_loss": 0.8716654337390706, "test_acc1": 80.20000460205078, "test_acc5": 95.22800509033203, "epoch": 247, "n_parameters": 24106216} +{"train_lr": 0.00010306653034814271, "train_loss": 3.0035021328479052, "test_loss": 0.8766916954406986, "test_acc1": 80.28000506591796, "test_acc5": 95.30800500488282, "epoch": 248, "n_parameters": 24106216} +{"train_lr": 9.967415870048714e-05, "train_loss": 3.003908414140344, "test_loss": 0.8880337258731877, "test_acc1": 80.25000479736327, "test_acc5": 95.33400511474609, "epoch": 249, "n_parameters": 24106216} +{"train_lr": 9.633994325755601e-05, "train_loss": 2.988338655948639, "test_loss": 0.8744607337371066, "test_acc1": 80.44200505371094, "test_acc5": 95.30400496826172, "epoch": 250, "n_parameters": 24106216} +{"train_lr": 9.306424965364871e-05, "train_loss": 2.9947739422768356, "test_loss": 0.8767939274785695, "test_acc1": 80.28600510253906, "test_acc5": 95.2700048828125, "epoch": 251, "n_parameters": 24106216} +{"train_lr": 8.984743710548115e-05, "train_loss": 2.9843183616399767, "test_loss": 0.8656398212468183, "test_acc1": 80.34200485839844, "test_acc5": 95.32200510253907, "epoch": 252, "n_parameters": 24106216} +{"train_lr": 8.668985837280431e-05, "train_loss": 2.980690733730793, "test_loss": 0.8640585515510153, "test_acc1": 80.39400485839843, "test_acc5": 95.33400511474609, "epoch": 253, "n_parameters": 24106216} +{"train_lr": 8.359185971970582e-05, "train_loss": 2.9808383480012415, "test_loss": 0.8710098230728397, "test_acc1": 80.48600489501953, "test_acc5": 95.37400505371093, "epoch": 254, "n_parameters": 24106216} +{"train_lr": 8.055378087664705e-05, "train_loss": 2.976554958194494, "test_loss": 0.8705335146299115, "test_acc1": 80.38200474853515, "test_acc5": 95.3380048828125, "epoch": 255, "n_parameters": 24106216} +{"train_lr": 7.757595500321181e-05, "train_loss": 2.9754486119896173, "test_loss": 0.8553722848494848, "test_acc1": 80.55600515136719, "test_acc5": 95.35600501708984, "epoch": 256, "n_parameters": 24106216} +{"train_lr": 7.465870865156403e-05, "train_loss": 2.96658799546957, "test_loss": 0.8537510472039381, "test_acc1": 80.68600460205079, "test_acc5": 95.40600496826171, "epoch": 257, "n_parameters": 24106216} +{"train_lr": 7.180236173064093e-05, "train_loss": 2.962957685187459, "test_loss": 0.885377267582549, "test_acc1": 80.59600512695313, "test_acc5": 95.38200533447265, "epoch": 258, "n_parameters": 24106216} +{"train_lr": 6.900722747106695e-05, "train_loss": 2.960129252642393, "test_loss": 0.8667006985180907, "test_acc1": 80.63400510253906, "test_acc5": 95.3360049560547, "epoch": 259, "n_parameters": 24106216} +{"train_lr": 6.627361239081766e-05, "train_loss": 2.957595907986164, "test_loss": 0.8614922440438358, "test_acc1": 80.62000461425781, "test_acc5": 95.43400512695312, "epoch": 260, "n_parameters": 24106216} +{"train_lr": 6.360181626158811e-05, "train_loss": 2.942683516263962, "test_loss": 0.8715696079587495, "test_acc1": 80.59200516357421, "test_acc5": 95.44400502929687, "epoch": 261, "n_parameters": 24106216} +{"train_lr": 6.099213207593079e-05, "train_loss": 2.95504931896925, "test_loss": 0.8598465277916856, "test_acc1": 80.6380049194336, "test_acc5": 95.45000506591796, "epoch": 262, "n_parameters": 24106216} +{"train_lr": 5.8444846015130345e-05, "train_loss": 2.953026807039976, "test_loss": 0.8722494753698508, "test_acc1": 80.76400484619141, "test_acc5": 95.448005078125, "epoch": 263, "n_parameters": 24106216} +{"train_lr": 5.596023741780288e-05, "train_loss": 2.943065997183323, "test_loss": 0.8533435734333815, "test_acc1": 80.83200494384765, "test_acc5": 95.53600505371094, "epoch": 264, "n_parameters": 24106216} +{"train_lr": 5.353857874928353e-05, "train_loss": 2.937865689083934, "test_loss": 0.8576270936539879, "test_acc1": 80.7920049194336, "test_acc5": 95.43400504150391, "epoch": 265, "n_parameters": 24106216} +{"train_lr": 5.118013557173428e-05, "train_loss": 2.9333764756321905, "test_loss": 0.8595511651149502, "test_acc1": 80.72200483398437, "test_acc5": 95.44400524902343, "epoch": 266, "n_parameters": 24106216} +{"train_lr": 4.8885166515027736e-05, "train_loss": 2.9334179870039225, "test_loss": 0.8572031885937408, "test_acc1": 80.69800495605469, "test_acc5": 95.50600510253906, "epoch": 267, "n_parameters": 24106216} +{"train_lr": 4.665392324838075e-05, "train_loss": 2.9332583391815423, "test_loss": 0.856844925356132, "test_acc1": 80.69800458984375, "test_acc5": 95.5060052734375, "epoch": 268, "n_parameters": 24106216} +{"train_lr": 4.4486650452762114e-05, "train_loss": 2.9346873019337654, "test_loss": 0.8660138274232546, "test_acc1": 80.76200485839844, "test_acc5": 95.4620052734375, "epoch": 269, "n_parameters": 24106216} +{"train_lr": 4.2383585794057146e-05, "train_loss": 2.92068563939631, "test_loss": 0.845408507105377, "test_acc1": 80.89200500488282, "test_acc5": 95.56800487060546, "epoch": 270, "n_parameters": 24106216} +{"train_lr": 4.034495989700477e-05, "train_loss": 2.928369224444032, "test_loss": 0.8528754255837865, "test_acc1": 80.72400505371094, "test_acc5": 95.5120048828125, "epoch": 271, "n_parameters": 24106216} +{"train_lr": 3.8370996319908676e-05, "train_loss": 2.9196988317370414, "test_loss": 0.8427806184799583, "test_acc1": 80.908005078125, "test_acc5": 95.5720052001953, "epoch": 272, "n_parameters": 24106216} +{"train_lr": 3.646191153011751e-05, "train_loss": 2.917288804754615, "test_loss": 0.8506649551844155, "test_acc1": 80.91000498046876, "test_acc5": 95.5640048828125, "epoch": 273, "n_parameters": 24106216} +{"train_lr": 3.461791488029484e-05, "train_loss": 2.9139465042054655, "test_loss": 0.8610599358324651, "test_acc1": 80.91400490722656, "test_acc5": 95.5020051147461, "epoch": 274, "n_parameters": 24106216} +{"train_lr": 3.283920858545161e-05, "train_loss": 2.913453850954771, "test_loss": 0.8574102402285293, "test_acc1": 80.8540046875, "test_acc5": 95.5140050415039, "epoch": 275, "n_parameters": 24106216} +{"train_lr": 3.112598770077804e-05, "train_loss": 2.908889174953103, "test_loss": 0.8549363773178171, "test_acc1": 80.99800502929688, "test_acc5": 95.6460053100586, "epoch": 276, "n_parameters": 24106216} +{"train_lr": 2.9478440100248225e-05, "train_loss": 2.8997246150970457, "test_loss": 0.841842065806742, "test_acc1": 80.91600480957031, "test_acc5": 95.57000513916016, "epoch": 277, "n_parameters": 24106216} +{"train_lr": 2.7896746456025184e-05, "train_loss": 2.9013806199133394, "test_loss": 0.8423202494504275, "test_acc1": 81.11200484619141, "test_acc5": 95.58800495605469, "epoch": 278, "n_parameters": 24106216} +{"train_lr": 2.6381080218640463e-05, "train_loss": 2.905309380054474, "test_loss": 0.8449787294699086, "test_acc1": 80.96800487060547, "test_acc5": 95.58000526123047, "epoch": 279, "n_parameters": 24106216} +{"train_lr": 2.493160759797691e-05, "train_loss": 2.8878211559206246, "test_loss": 0.8436723039657982, "test_acc1": 80.98000505371094, "test_acc5": 95.61600515136719, "epoch": 280, "n_parameters": 24106216} +{"train_lr": 2.3548487545040715e-05, "train_loss": 2.8928453395068647, "test_loss": 0.8439547516129635, "test_acc1": 81.04600498046875, "test_acc5": 95.68000517578125, "epoch": 281, "n_parameters": 24106216} +{"train_lr": 2.2231871734532752e-05, "train_loss": 2.8977133067697287, "test_loss": 0.8512853877963843, "test_acc1": 81.04800483398438, "test_acc5": 95.5780052734375, "epoch": 282, "n_parameters": 24106216} +{"train_lr": 2.098190454821356e-05, "train_loss": 2.906042263492942, "test_loss": 0.8527474893188035, "test_acc1": 81.00400485839843, "test_acc5": 95.53200526123047, "epoch": 283, "n_parameters": 24106216} +{"train_lr": 1.979872305907e-05, "train_loss": 2.8948851798921824, "test_loss": 0.8525324630792495, "test_acc1": 81.10000478515624, "test_acc5": 95.59400485839843, "epoch": 284, "n_parameters": 24106216} +{"train_lr": 1.8682457016287e-05, "train_loss": 2.894093502178788, "test_loss": 0.8425859793744706, "test_acc1": 81.15800504150391, "test_acc5": 95.66200512695312, "epoch": 285, "n_parameters": 24106216} +{"train_lr": 1.7633228831014662e-05, "train_loss": 2.8865996727496386, "test_loss": 0.8437854568991396, "test_acc1": 81.22600474853516, "test_acc5": 95.63800505371094, "epoch": 286, "n_parameters": 24106216} +{"train_lr": 1.665115356294694e-05, "train_loss": 2.8875096675306557, "test_loss": 0.8412363955544101, "test_acc1": 81.13200480957032, "test_acc5": 95.62800526123047, "epoch": 287, "n_parameters": 24106216} +{"train_lr": 1.5736338907704675e-05, "train_loss": 2.8786799937486647, "test_loss": 0.8493895848040227, "test_acc1": 81.20000500488281, "test_acc5": 95.63200520019531, "epoch": 288, "n_parameters": 24106216} +{"train_lr": 1.4888885185023625e-05, "train_loss": 2.885313951253891, "test_loss": 0.8435808976215345, "test_acc1": 81.09800485839844, "test_acc5": 95.61800513916016, "epoch": 289, "n_parameters": 24106216} +{"train_lr": 1.4108885327754314e-05, "train_loss": 2.8780415737777947, "test_loss": 0.8476850361459785, "test_acc1": 81.2000050415039, "test_acc5": 95.61600515136719, "epoch": 290, "n_parameters": 24106216} +{"train_lr": 1.3396424871670916e-05, "train_loss": 2.8875079779922963, "test_loss": 0.8460305598047044, "test_acc1": 81.16000498046876, "test_acc5": 95.67800513916016, "epoch": 291, "n_parameters": 24106216} +{"train_lr": 1.2751581946090358e-05, "train_loss": 2.8853755296617747, "test_loss": 0.84204978040523, "test_acc1": 81.15600501708984, "test_acc5": 95.64200491943359, "epoch": 292, "n_parameters": 24106216} +{"train_lr": 1.2174427265307128e-05, "train_loss": 2.880560509517789, "test_loss": 0.8439042424714124, "test_acc1": 81.19600490722657, "test_acc5": 95.65400502929687, "epoch": 293, "n_parameters": 24106216} +{"train_lr": 1.1665024120836074e-05, "train_loss": 2.872427248314023, "test_loss": 0.8421474531016968, "test_acc1": 81.15400469970703, "test_acc5": 95.62600531005859, "epoch": 294, "n_parameters": 24106216} +{"train_lr": 1.1223428374471885e-05, "train_loss": 2.8771587539613246, "test_loss": 0.8447476997971535, "test_acc1": 81.13800493164062, "test_acc5": 95.63600524902344, "epoch": 295, "n_parameters": 24106216} +{"train_lr": 1.0849688452164115e-05, "train_loss": 2.874407935008407, "test_loss": 0.8421526631271398, "test_acc1": 81.13200502929688, "test_acc5": 95.62200526123047, "epoch": 296, "n_parameters": 24106216} +{"train_lr": 1.0543845338707663e-05, "train_loss": 2.8779456590265036, "test_loss": 0.8447596273488469, "test_acc1": 81.16000482177735, "test_acc5": 95.60800499267579, "epoch": 297, "n_parameters": 24106216} +{"train_lr": 1.0305932573246438e-05, "train_loss": 2.8798549397289754, "test_loss": 0.847868407903998, "test_acc1": 81.13800500488281, "test_acc5": 95.57800494384766, "epoch": 298, "n_parameters": 24106216} +{"train_lr": 1.0135976245596009e-05, "train_loss": 2.8763493206501005, "test_loss": 0.8450119354658656, "test_acc1": 81.14000500488281, "test_acc5": 95.65600512695312, "epoch": 299, "n_parameters": 24106216} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt new file mode 100644 index 000000000..8f280eafc --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt @@ -0,0 +1,300 @@ +{"train_lr": 9.999999999999953e-07, "train_loss": 6.912704940227201, "test_loss": 6.839647262385397, "test_acc1": 0.40000001934051516, "test_acc5": 1.6540000639152528, "epoch": 0, "n_parameters": 56070952} +{"train_lr": 9.999999999999953e-07, "train_loss": 6.889428068169778, "test_loss": 6.792653089219874, "test_acc1": 0.49400002071380616, "test_acc5": 2.0580000622558594, "epoch": 1, "n_parameters": 56070952} +{"train_lr": 0.00020080000000000092, "train_loss": 6.628370880842399, "test_loss": 5.548184212410089, "test_acc1": 6.120000180511474, "test_acc5": 17.118000468597412, "epoch": 2, "n_parameters": 56070952} +{"train_lr": 0.000400599999999987, "train_loss": 6.300531226286976, "test_loss": 4.655281354080547, "test_acc1": 14.272000410766601, "test_acc5": 32.84800081695557, "epoch": 3, "n_parameters": 56070952} +{"train_lr": 0.0006003999999999824, "train_loss": 6.0312243470375675, "test_loss": 4.00048336838231, "test_acc1": 22.54600062591553, "test_acc5": 45.424001314697264, "epoch": 4, "n_parameters": 56070952} +{"train_lr": 0.0008002000000000078, "train_loss": 5.798836317613161, "test_loss": 3.5317998799410733, "test_acc1": 28.956000791015626, "test_acc5": 53.94200138031006, "epoch": 5, "n_parameters": 56070952} +{"train_lr": 0.0009993216197035084, "train_loss": 5.594057629148451, "test_loss": 3.114144051616842, "test_acc1": 35.626001033477785, "test_acc5": 61.63000168426514, "epoch": 6, "n_parameters": 56070952} +{"train_lr": 0.000999023230572016, "train_loss": 5.342292041539384, "test_loss": 2.732066015402476, "test_acc1": 41.966001228485105, "test_acc5": 67.942001852417, "epoch": 7, "n_parameters": 56070952} +{"train_lr": 0.000998670666226098, "train_loss": 5.150456475935203, "test_loss": 2.4861514753464498, "test_acc1": 47.08800120788574, "test_acc5": 72.81600229309082, "epoch": 8, "n_parameters": 56070952} +{"train_lr": 0.0009982639653285214, "train_loss": 4.995043093733174, "test_loss": 2.2388629949454106, "test_acc1": 50.870001313781735, "test_acc5": 76.18400217132569, "epoch": 9, "n_parameters": 56070952} +{"train_lr": 0.0009978031724785232, "train_loss": 4.850744197789809, "test_loss": 2.1441605976133635, "test_acc1": 53.848001522521976, "test_acc5": 78.75600261505127, "epoch": 10, "n_parameters": 56070952} +{"train_lr": 0.000997288338207296, "train_loss": 4.71835691973174, "test_loss": 2.0129131268371236, "test_acc1": 55.9700016317749, "test_acc5": 80.67200261108398, "epoch": 11, "n_parameters": 56070952} +{"train_lr": 0.0009967195189721821, "train_loss": 4.624719400176232, "test_loss": 1.8892485359401414, "test_acc1": 58.70200174255371, "test_acc5": 82.33800245666504, "epoch": 12, "n_parameters": 56070952} +{"train_lr": 0.0009960967771506664, "train_loss": 4.515506669366769, "test_loss": 1.773995986942089, "test_acc1": 60.178001698913576, "test_acc5": 83.74600262786865, "epoch": 13, "n_parameters": 56070952} +{"train_lr": 0.0009954201810333753, "train_loss": 4.445058339291053, "test_loss": 1.7524210027221478, "test_acc1": 61.732001773986816, "test_acc5": 84.78400275970459, "epoch": 14, "n_parameters": 56070952} +{"train_lr": 0.0009946898048166896, "train_loss": 4.371559739351082, "test_loss": 1.6321740552331463, "test_acc1": 63.25400189758301, "test_acc5": 85.72800238952637, "epoch": 15, "n_parameters": 56070952} +{"train_lr": 0.000993905728594591, "train_loss": 4.3099268325131765, "test_loss": 1.5759435068025733, "test_acc1": 64.14400181610108, "test_acc5": 86.12800252532959, "epoch": 16, "n_parameters": 56070952} +{"train_lr": 0.0009930680383498827, "train_loss": 4.261530262127007, "test_loss": 1.546471024327206, "test_acc1": 65.21000194885254, "test_acc5": 86.84400281433105, "epoch": 17, "n_parameters": 56070952} +{"train_lr": 0.0009921768259447902, "train_loss": 4.207295479391404, "test_loss": 1.4673702502340982, "test_acc1": 65.95000186157226, "test_acc5": 87.5040025378418, "epoch": 18, "n_parameters": 56070952} +{"train_lr": 0.0009912321891107068, "train_loss": 4.164027932665045, "test_loss": 1.44344453152382, "test_acc1": 66.6000019015503, "test_acc5": 87.78600277099609, "epoch": 19, "n_parameters": 56070952} +{"train_lr": 0.000990234231437762, "train_loss": 4.120327394119174, "test_loss": 1.4459513929305654, "test_acc1": 66.8260019934082, "test_acc5": 88.34800268066407, "epoch": 20, "n_parameters": 56070952} +{"train_lr": 0.000989183062363242, "train_loss": 4.081421746481523, "test_loss": 1.4114884810917305, "test_acc1": 67.86800211334229, "test_acc5": 88.60000277679444, "epoch": 21, "n_parameters": 56070952} +{"train_lr": 0.0009880787971596754, "train_loss": 4.052322867796194, "test_loss": 1.3930162444259182, "test_acc1": 68.34400214172364, "test_acc5": 88.94400270690917, "epoch": 22, "n_parameters": 56070952} +{"train_lr": 0.0009869215569222388, "train_loss": 4.0227338196419415, "test_loss": 1.403536194427447, "test_acc1": 68.85200219848633, "test_acc5": 89.34200252563477, "epoch": 23, "n_parameters": 56070952} +{"train_lr": 0.000985711468555267, "train_loss": 3.9993192537797153, "test_loss": 1.3516820041519222, "test_acc1": 69.01000192230225, "test_acc5": 89.60000246520995, "epoch": 24, "n_parameters": 56070952} +{"train_lr": 0.0009844486647586856, "train_loss": 3.9678954313889587, "test_loss": 1.3008371638980778, "test_acc1": 69.77600220489502, "test_acc5": 89.95600271148682, "epoch": 25, "n_parameters": 56070952} +{"train_lr": 0.00098313328401311, "train_loss": 3.944302456937343, "test_loss": 1.2904443379604456, "test_acc1": 70.002002137146, "test_acc5": 90.06000252349854, "epoch": 26, "n_parameters": 56070952} +{"train_lr": 0.0009817654705648337, "train_loss": 3.91601000658328, "test_loss": 1.28482392452883, "test_acc1": 70.1140022229004, "test_acc5": 90.09400266723632, "epoch": 27, "n_parameters": 56070952} +{"train_lr": 0.0009803453744100898, "train_loss": 3.89881496249343, "test_loss": 1.2450710013508797, "test_acc1": 70.73600224914551, "test_acc5": 90.47400247161865, "epoch": 28, "n_parameters": 56070952} +{"train_lr": 0.0009788731512783825, "train_loss": 3.875996728499921, "test_loss": 1.305282699790868, "test_acc1": 70.45200235748291, "test_acc5": 90.23400260528564, "epoch": 29, "n_parameters": 56070952} +{"train_lr": 0.00097734896261555, "train_loss": 3.8518742872990197, "test_loss": 1.269982046250141, "test_acc1": 71.0840021697998, "test_acc5": 90.60200247558593, "epoch": 30, "n_parameters": 56070952} +{"train_lr": 0.0009757729755660996, "train_loss": 3.846510480729034, "test_loss": 1.229921282466614, "test_acc1": 71.39000236663819, "test_acc5": 90.9000025454712, "epoch": 31, "n_parameters": 56070952} +{"train_lr": 0.000974145362954742, "train_loss": 3.8250726998614657, "test_loss": 1.2235188786730622, "test_acc1": 71.8680023336792, "test_acc5": 91.0640027911377, "epoch": 32, "n_parameters": 56070952} +{"train_lr": 0.0009724663032675332, "train_loss": 3.8025007393005654, "test_loss": 1.2057474273623843, "test_acc1": 71.93000230041504, "test_acc5": 90.97200252471924, "epoch": 33, "n_parameters": 56070952} +{"train_lr": 0.000970735980632352, "train_loss": 3.796611974112612, "test_loss": 1.1791389525839777, "test_acc1": 72.12200247039794, "test_acc5": 91.23400266937256, "epoch": 34, "n_parameters": 56070952} +{"train_lr": 0.0009689545847984843, "train_loss": 3.7842100678111534, "test_loss": 1.1775148090991108, "test_acc1": 72.13400232269287, "test_acc5": 91.3540024053955, "epoch": 35, "n_parameters": 56070952} +{"train_lr": 0.000967122311116087, "train_loss": 3.7663423015202264, "test_loss": 1.1823426902745708, "test_acc1": 72.27000227111816, "test_acc5": 91.38600270050048, "epoch": 36, "n_parameters": 56070952} +{"train_lr": 0.000965239360514694, "train_loss": 3.758088919184477, "test_loss": 1.1881508111502186, "test_acc1": 72.74200220001221, "test_acc5": 91.53000262756348, "epoch": 37, "n_parameters": 56070952} +{"train_lr": 0.0009633059394809262, "train_loss": 3.7464552790426806, "test_loss": 1.1652916771444408, "test_acc1": 72.90000226898194, "test_acc5": 91.6540023461914, "epoch": 38, "n_parameters": 56070952} +{"train_lr": 0.0009613222600362934, "train_loss": 3.730052902544145, "test_loss": 1.1618276179739924, "test_acc1": 72.67200231414795, "test_acc5": 91.63800251800537, "epoch": 39, "n_parameters": 56070952} +{"train_lr": 0.0009592885397135909, "train_loss": 3.718196343436992, "test_loss": 1.1766195753307054, "test_acc1": 73.1220024661255, "test_acc5": 91.83800261230469, "epoch": 40, "n_parameters": 56070952} +{"train_lr": 0.0009572050015330907, "train_loss": 3.7197662323927707, "test_loss": 1.156752699252331, "test_acc1": 73.42800245239258, "test_acc5": 91.97000253570556, "epoch": 41, "n_parameters": 56070952} +{"train_lr": 0.0009550718739782929, "train_loss": 3.694063566714454, "test_loss": 1.1182041031618912, "test_acc1": 73.26400241333008, "test_acc5": 91.9960025656128, "epoch": 42, "n_parameters": 56070952} +{"train_lr": 0.0009528893909706948, "train_loss": 3.687745183539524, "test_loss": 1.1842028293194193, "test_acc1": 73.55200232666016, "test_acc5": 91.94600256317139, "epoch": 43, "n_parameters": 56070952} +{"train_lr": 0.0009506577918441058, "train_loss": 3.676478501632631, "test_loss": 1.118515907702121, "test_acc1": 73.55200259643554, "test_acc5": 92.27200267486572, "epoch": 44, "n_parameters": 56070952} +{"train_lr": 0.0009483773213185082, "train_loss": 3.6690303715441726, "test_loss": 1.140866585978956, "test_acc1": 73.82000231658935, "test_acc5": 92.18000243865967, "epoch": 45, "n_parameters": 56070952} +{"train_lr": 0.0009460482294732177, "train_loss": 3.6674534740874902, "test_loss": 1.1153390010197957, "test_acc1": 73.90600259613038, "test_acc5": 92.27800253417969, "epoch": 46, "n_parameters": 56070952} +{"train_lr": 0.000943670771719436, "train_loss": 3.6546605052136116, "test_loss": 1.128966748714447, "test_acc1": 73.91400241577148, "test_acc5": 92.29800286224365, "epoch": 47, "n_parameters": 56070952} +{"train_lr": 0.0009412452087721683, "train_loss": 3.646538553120707, "test_loss": 1.1110590029169212, "test_acc1": 73.94600240966797, "test_acc5": 92.3240025982666, "epoch": 48, "n_parameters": 56070952} +{"train_lr": 0.0009387718066217019, "train_loss": 3.6384044256713466, "test_loss": 1.1110046388524952, "test_acc1": 74.15400235321044, "test_acc5": 92.38200237243652, "epoch": 49, "n_parameters": 56070952} +{"train_lr": 0.000936250836504503, "train_loss": 3.632802799046278, "test_loss": 1.0973600124319394, "test_acc1": 74.01400247009278, "test_acc5": 92.48400273864746, "epoch": 50, "n_parameters": 56070952} +{"train_lr": 0.0009336825748732897, "train_loss": 3.61445346691435, "test_loss": 1.0730329312835678, "test_acc1": 74.26400239593507, "test_acc5": 92.65400245910645, "epoch": 51, "n_parameters": 56070952} +{"train_lr": 0.0009310673033669664, "train_loss": 3.6104777341456913, "test_loss": 1.0746280512574948, "test_acc1": 74.43800225769043, "test_acc5": 92.65200262298583, "epoch": 52, "n_parameters": 56070952} +{"train_lr": 0.0009284053087794627, "train_loss": 3.597458833460804, "test_loss": 1.0944448549187544, "test_acc1": 74.35800242279053, "test_acc5": 92.57800264770508, "epoch": 53, "n_parameters": 56070952} +{"train_lr": 0.0009256968830284788, "train_loss": 3.6010333644114523, "test_loss": 1.0980534571589846, "test_acc1": 74.33000241821289, "test_acc5": 92.60400251617432, "epoch": 54, "n_parameters": 56070952} +{"train_lr": 0.0009229423231234935, "train_loss": 3.6009198469128445, "test_loss": 1.083047712955511, "test_acc1": 74.30800233184814, "test_acc5": 92.70000263397216, "epoch": 55, "n_parameters": 56070952} +{"train_lr": 0.0009201419311329745, "train_loss": 3.596518809346558, "test_loss": 1.0833472014602386, "test_acc1": 74.42400243774414, "test_acc5": 92.67600228363037, "epoch": 56, "n_parameters": 56070952} +{"train_lr": 0.0009172960141514878, "train_loss": 3.571632236563902, "test_loss": 1.0652355733468677, "test_acc1": 74.82600239318847, "test_acc5": 92.77000247253417, "epoch": 57, "n_parameters": 56070952} +{"train_lr": 0.0009144048842658995, "train_loss": 3.580926345883132, "test_loss": 1.04638992374142, "test_acc1": 75.14800247070312, "test_acc5": 92.91800251220702, "epoch": 58, "n_parameters": 56070952} +{"train_lr": 0.0009114688585212051, "train_loss": 3.5791311552770417, "test_loss": 1.070639611983841, "test_acc1": 74.91600258331299, "test_acc5": 92.87400264099121, "epoch": 59, "n_parameters": 56070952} +{"train_lr": 0.0009084882588856559, "train_loss": 3.562718999090431, "test_loss": 1.05127492930853, "test_acc1": 75.19400238128662, "test_acc5": 92.97000254699707, "epoch": 60, "n_parameters": 56070952} +{"train_lr": 0.0009054634122156225, "train_loss": 3.5598385410605196, "test_loss": 1.0485075131961794, "test_acc1": 75.0140025213623, "test_acc5": 92.92000276367187, "epoch": 61, "n_parameters": 56070952} +{"train_lr": 0.0009023946502195918, "train_loss": 3.5561550110221196, "test_loss": 1.0531591715460473, "test_acc1": 75.28400250671386, "test_acc5": 92.88400257904053, "epoch": 62, "n_parameters": 56070952} +{"train_lr": 0.0008992823094219693, "train_loss": 3.5485694437718793, "test_loss": 1.0431614511392333, "test_acc1": 75.45400250854492, "test_acc5": 92.97200247802735, "epoch": 63, "n_parameters": 56070952} +{"train_lr": 0.0008961267311259657, "train_loss": 3.5440960401396673, "test_loss": 1.0261423567479306, "test_acc1": 75.40600237091064, "test_acc5": 92.98400230865478, "epoch": 64, "n_parameters": 56070952} +{"train_lr": 0.0008929282613763057, "train_loss": 3.541168891244846, "test_loss": 1.041061870753765, "test_acc1": 75.25600231292725, "test_acc5": 92.94200264495849, "epoch": 65, "n_parameters": 56070952} +{"train_lr": 0.0008896872509212006, "train_loss": 3.5359828043803514, "test_loss": 1.0611026300625368, "test_acc1": 75.2340024383545, "test_acc5": 93.05000257080079, "epoch": 66, "n_parameters": 56070952} +{"train_lr": 0.0008864040551740224, "train_loss": 3.5317085418198033, "test_loss": 1.05652035513159, "test_acc1": 75.47400249053955, "test_acc5": 93.00800254150391, "epoch": 67, "n_parameters": 56070952} +{"train_lr": 0.0008830790341741554, "train_loss": 3.5252698015728345, "test_loss": 1.0357145853340626, "test_acc1": 75.32000253387451, "test_acc5": 93.10000254516602, "epoch": 68, "n_parameters": 56070952} +{"train_lr": 0.000879712552547612, "train_loss": 3.5294321027400493, "test_loss": 1.0448043482999008, "test_acc1": 75.59600259521484, "test_acc5": 93.06600240783692, "epoch": 69, "n_parameters": 56070952} +{"train_lr": 0.0008763049794670927, "train_loss": 3.514820378485153, "test_loss": 1.017730137841268, "test_acc1": 75.65000230163574, "test_acc5": 93.16200245025635, "epoch": 70, "n_parameters": 56070952} +{"train_lr": 0.0008728566886112912, "train_loss": 3.5100005523954554, "test_loss": 1.04899663387826, "test_acc1": 75.72000251373291, "test_acc5": 93.1300024697876, "epoch": 71, "n_parameters": 56070952} +{"train_lr": 0.000869368058124286, "train_loss": 3.5111103839487385, "test_loss": 1.040287685439442, "test_acc1": 75.74600257965088, "test_acc5": 93.3540025189209, "epoch": 72, "n_parameters": 56070952} +{"train_lr": 0.0008658394705736102, "train_loss": 3.4941205774470387, "test_loss": 1.0374023859022241, "test_acc1": 75.47600259307862, "test_acc5": 93.19600266265869, "epoch": 73, "n_parameters": 56070952} +{"train_lr": 0.0008622713129087039, "train_loss": 3.4950422237245298, "test_loss": 1.0276668859702167, "test_acc1": 75.8380025515747, "test_acc5": 93.29200246582032, "epoch": 74, "n_parameters": 56070952} +{"train_lr": 0.0008586639764182332, "train_loss": 3.4920577444285037, "test_loss": 1.0063348452024388, "test_acc1": 75.9520025012207, "test_acc5": 93.37800268676757, "epoch": 75, "n_parameters": 56070952} +{"train_lr": 0.0008550178566873157, "train_loss": 3.483561804349855, "test_loss": 0.9991797471814083, "test_acc1": 76.04600230041504, "test_acc5": 93.42400280731201, "epoch": 76, "n_parameters": 56070952} +{"train_lr": 0.0008513333535541272, "train_loss": 3.491354417874754, "test_loss": 1.020127355713736, "test_acc1": 76.122002505188, "test_acc5": 93.42800235198975, "epoch": 77, "n_parameters": 56070952} +{"train_lr": 0.0008476108710658582, "train_loss": 3.474557547427291, "test_loss": 1.0110199183902957, "test_acc1": 76.19400247314454, "test_acc5": 93.35800265289306, "epoch": 78, "n_parameters": 56070952} +{"train_lr": 0.00084385081743468, "train_loss": 3.4754363436945717, "test_loss": 1.0217402493863394, "test_acc1": 76.37600239624024, "test_acc5": 93.49600257385254, "epoch": 79, "n_parameters": 56070952} +{"train_lr": 0.0008400536049929256, "train_loss": 3.461732646913456, "test_loss": 1.0026822855526751, "test_acc1": 76.36000239044189, "test_acc5": 93.5520026586914, "epoch": 80, "n_parameters": 56070952} +{"train_lr": 0.0008362196501476587, "train_loss": 3.4580803793206583, "test_loss": 1.0190244136434612, "test_acc1": 76.05600274505615, "test_acc5": 93.5480025793457, "epoch": 81, "n_parameters": 56070952} +{"train_lr": 0.0008323493733352106, "train_loss": 3.4648659009394125, "test_loss": 1.0218156871922088, "test_acc1": 76.12200272460937, "test_acc5": 93.50000251342773, "epoch": 82, "n_parameters": 56070952} +{"train_lr": 0.0008284431989751196, "train_loss": 3.4565899745046758, "test_loss": 0.9970098039643331, "test_acc1": 76.57400232208252, "test_acc5": 93.69000245330811, "epoch": 83, "n_parameters": 56070952} +{"train_lr": 0.0008245015554233518, "train_loss": 3.4538528025864985, "test_loss": 1.0122970572926782, "test_acc1": 76.0680023928833, "test_acc5": 93.46600250793458, "epoch": 84, "n_parameters": 56070952} +{"train_lr": 0.0008205248749255873, "train_loss": 3.4474399182007467, "test_loss": 1.0021610561419616, "test_acc1": 76.32000269592285, "test_acc5": 93.78800265228271, "epoch": 85, "n_parameters": 56070952} +{"train_lr": 0.0008165135935696841, "train_loss": 3.441017949204746, "test_loss": 0.9817064520761822, "test_acc1": 76.44800250610352, "test_acc5": 93.7480026385498, "epoch": 86, "n_parameters": 56070952} +{"train_lr": 0.0008124681512377846, "train_loss": 3.4401674785202356, "test_loss": 0.9898288790701013, "test_acc1": 76.6680024307251, "test_acc5": 93.6980024105835, "epoch": 87, "n_parameters": 56070952} +{"train_lr": 0.0008083889915582182, "train_loss": 3.437888034456354, "test_loss": 1.010794982539885, "test_acc1": 76.36800247650146, "test_acc5": 93.63000261993409, "epoch": 88, "n_parameters": 56070952} +{"train_lr": 0.0008042765618568846, "train_loss": 3.4305450664364177, "test_loss": 1.015022680050496, "test_acc1": 76.43600260925292, "test_acc5": 93.74800251525879, "epoch": 89, "n_parameters": 56070952} +{"train_lr": 0.0008001313131079711, "train_loss": 3.4352954044926176, "test_loss": 0.9682072364922726, "test_acc1": 76.6240027017212, "test_acc5": 93.72600257598877, "epoch": 90, "n_parameters": 56070952} +{"train_lr": 0.0007959536998847494, "train_loss": 3.4331840094235493, "test_loss": 1.0039246823977341, "test_acc1": 76.7140024850464, "test_acc5": 93.7380025616455, "epoch": 91, "n_parameters": 56070952} +{"train_lr": 0.0007917441803096098, "train_loss": 3.4214859684522776, "test_loss": 0.9915978797908985, "test_acc1": 76.65600255493165, "test_acc5": 93.7160024822998, "epoch": 92, "n_parameters": 56070952} +{"train_lr": 0.0007875032160038205, "train_loss": 3.418980320175584, "test_loss": 0.9730216907055089, "test_acc1": 76.8700027645874, "test_acc5": 93.78400271148682, "epoch": 93, "n_parameters": 56070952} +{"train_lr": 0.0007832312720368117, "train_loss": 3.406267423173792, "test_loss": 0.984917649717042, "test_acc1": 76.91800288360595, "test_acc5": 93.77200250030518, "epoch": 94, "n_parameters": 56070952} +{"train_lr": 0.0007789288168754665, "train_loss": 3.4109670553418945, "test_loss": 0.971004396451242, "test_acc1": 77.05000242218017, "test_acc5": 93.98000259368897, "epoch": 95, "n_parameters": 56070952} +{"train_lr": 0.0007745963223324492, "train_loss": 3.405389969916843, "test_loss": 0.9762847898810199, "test_acc1": 76.95000240264892, "test_acc5": 93.87800246826171, "epoch": 96, "n_parameters": 56070952} +{"train_lr": 0.0007702342635146132, "train_loss": 3.402109289174076, "test_loss": 0.9639938447737333, "test_acc1": 77.16600249816895, "test_acc5": 93.89000247039795, "epoch": 97, "n_parameters": 56070952} +{"train_lr": 0.0007658431187708385, "train_loss": 3.39297387075367, "test_loss": 0.9698740790287653, "test_acc1": 77.05800248291015, "test_acc5": 93.88400267333985, "epoch": 98, "n_parameters": 56070952} +{"train_lr": 0.0007614233696396923, "train_loss": 3.397619468321522, "test_loss": 0.9571499704863086, "test_acc1": 77.02600259155274, "test_acc5": 93.89800253051757, "epoch": 99, "n_parameters": 56070952} +{"train_lr": 0.0007569755007964469, "train_loss": 3.3900399263099517, "test_loss": 0.9918822655172059, "test_acc1": 76.72400244995117, "test_acc5": 93.89800242736817, "epoch": 100, "n_parameters": 56070952} +{"train_lr": 0.0007525000000000169, "train_loss": 3.3888339081304157, "test_loss": 0.9681012852851189, "test_acc1": 77.03600248687744, "test_acc5": 93.98400250396729, "epoch": 101, "n_parameters": 56070952} +{"train_lr": 0.0007479973580395145, "train_loss": 3.378811183676636, "test_loss": 0.9655746587298133, "test_acc1": 77.09400234344483, "test_acc5": 94.05000286254882, "epoch": 102, "n_parameters": 56070952} +{"train_lr": 0.0007434680686803327, "train_loss": 3.3864170858423583, "test_loss": 0.9570443989201025, "test_acc1": 77.10600272583008, "test_acc5": 94.15800250396728, "epoch": 103, "n_parameters": 56070952} +{"train_lr": 0.0007389126286101685, "train_loss": 3.380241228081435, "test_loss": 0.9627698496209852, "test_acc1": 77.29000245056152, "test_acc5": 94.08800269653321, "epoch": 104, "n_parameters": 56070952} +{"train_lr": 0.0007343315373843357, "train_loss": 3.368689954304676, "test_loss": 0.9824778923031056, "test_acc1": 77.16600243774414, "test_acc5": 93.97000258239746, "epoch": 105, "n_parameters": 56070952} +{"train_lr": 0.0007297252973710595, "train_loss": 3.3793504421445104, "test_loss": 0.9700020426376299, "test_acc1": 77.44400255157471, "test_acc5": 94.01400249481202, "epoch": 106, "n_parameters": 56070952} +{"train_lr": 0.0007250944136965275, "train_loss": 3.3691020908234695, "test_loss": 0.9372505679952375, "test_acc1": 77.28600258392333, "test_acc5": 94.06200235656738, "epoch": 107, "n_parameters": 56070952} +{"train_lr": 0.0007204393941893078, "train_loss": 3.3608612624837533, "test_loss": 0.960112845920252, "test_acc1": 77.43000263671875, "test_acc5": 94.15400254302979, "epoch": 108, "n_parameters": 56070952} +{"train_lr": 0.0007157607493246968, "train_loss": 3.3589463373430246, "test_loss": 0.9364017723410418, "test_acc1": 77.58400245178223, "test_acc5": 94.21800235046386, "epoch": 109, "n_parameters": 56070952} +{"train_lr": 0.0007110589921689151, "train_loss": 3.3515603682167714, "test_loss": 0.9482375355155179, "test_acc1": 77.55600288665771, "test_acc5": 94.06200253936768, "epoch": 110, "n_parameters": 56070952} +{"train_lr": 0.0007063346383225066, "train_loss": 3.3511695806071056, "test_loss": 0.9648187604140152, "test_acc1": 77.08400266021728, "test_acc5": 93.99600253204346, "epoch": 111, "n_parameters": 56070952} +{"train_lr": 0.0007015882058641976, "train_loss": 3.351424478965221, "test_loss": 0.9355759840797294, "test_acc1": 77.59400284515381, "test_acc5": 94.21800258880616, "epoch": 112, "n_parameters": 56070952} +{"train_lr": 0.0006968202152938009, "train_loss": 3.3426454476267695, "test_loss": 0.9457516921966365, "test_acc1": 77.53400260498047, "test_acc5": 94.18800261901856, "epoch": 113, "n_parameters": 56070952} +{"train_lr": 0.0006920311894751397, "train_loss": 3.3427713095403306, "test_loss": 0.9793556210669604, "test_acc1": 77.62800240844726, "test_acc5": 94.3500027444458, "epoch": 114, "n_parameters": 56070952} +{"train_lr": 0.0006872216535789267, "train_loss": 3.3328556346235803, "test_loss": 0.9376341189173135, "test_acc1": 77.86600267944335, "test_acc5": 94.29000237976074, "epoch": 115, "n_parameters": 56070952} +{"train_lr": 0.0006823921350249367, "train_loss": 3.3356596635495253, "test_loss": 0.9589880735359408, "test_acc1": 77.77800252075195, "test_acc5": 94.24000268310547, "epoch": 116, "n_parameters": 56070952} +{"train_lr": 0.0006775431634242846, "train_loss": 3.330214477045168, "test_loss": 0.9523931363541068, "test_acc1": 77.56000245178222, "test_acc5": 94.26400256713868, "epoch": 117, "n_parameters": 56070952} +{"train_lr": 0.0006726752705214028, "train_loss": 3.3268940335602686, "test_loss": 0.9423701111791711, "test_acc1": 77.68200261535644, "test_acc5": 94.28600260162354, "epoch": 118, "n_parameters": 56070952} +{"train_lr": 0.0006677889901356115, "train_loss": 3.326947806300305, "test_loss": 0.9096810842553774, "test_acc1": 77.99400267456055, "test_acc5": 94.50600273132324, "epoch": 119, "n_parameters": 56070952} +{"train_lr": 0.0006628848581025351, "train_loss": 3.3099186642111826, "test_loss": 0.9346439217527708, "test_acc1": 77.81800281219482, "test_acc5": 94.38600258178711, "epoch": 120, "n_parameters": 56070952} +{"train_lr": 0.0006579634122155856, "train_loss": 3.3127799332141876, "test_loss": 0.9314968126515547, "test_acc1": 77.80400255828857, "test_acc5": 94.35200278472901, "epoch": 121, "n_parameters": 56070952} +{"train_lr": 0.0006530251921667783, "train_loss": 3.3096487682452684, "test_loss": 0.9182564095791542, "test_acc1": 78.02000264068603, "test_acc5": 94.4640023626709, "epoch": 122, "n_parameters": 56070952} +{"train_lr": 0.0006480707394875038, "train_loss": 3.313521285101378, "test_loss": 0.928040030101935, "test_acc1": 78.02600242095947, "test_acc5": 94.51400252593994, "epoch": 123, "n_parameters": 56070952} +{"train_lr": 0.0006431005974894059, "train_loss": 3.302337615169305, "test_loss": 0.9160335797703627, "test_acc1": 78.26400252685546, "test_acc5": 94.51800252349854, "epoch": 124, "n_parameters": 56070952} +{"train_lr": 0.000638115311204536, "train_loss": 3.294783538062986, "test_loss": 0.9138777546133056, "test_acc1": 77.93000241943359, "test_acc5": 94.47400263275146, "epoch": 125, "n_parameters": 56070952} +{"train_lr": 0.0006331154273257683, "train_loss": 3.29477528414185, "test_loss": 0.9079601090740074, "test_acc1": 78.35600258209229, "test_acc5": 94.60800234161377, "epoch": 126, "n_parameters": 56070952} +{"train_lr": 0.0006281014941466044, "train_loss": 3.287779706047117, "test_loss": 0.9151705950498581, "test_acc1": 78.32400254211426, "test_acc5": 94.57400254119874, "epoch": 127, "n_parameters": 56070952} +{"train_lr": 0.000623074061501409, "train_loss": 3.2900237323616524, "test_loss": 0.9035431709930752, "test_acc1": 78.22600257476806, "test_acc5": 94.51800248077393, "epoch": 128, "n_parameters": 56070952} +{"train_lr": 0.0006180336807047859, "train_loss": 3.2833905654083146, "test_loss": 0.9259532483463938, "test_acc1": 77.98400249298096, "test_acc5": 94.3580025289917, "epoch": 129, "n_parameters": 56070952} +{"train_lr": 0.0006129809044912789, "train_loss": 3.286903953833355, "test_loss": 0.9139008122411642, "test_acc1": 78.41400269561768, "test_acc5": 94.54800268005371, "epoch": 130, "n_parameters": 56070952} +{"train_lr": 0.0006079162869547817, "train_loss": 3.271812231039448, "test_loss": 0.9214174421221921, "test_acc1": 78.0920025354004, "test_acc5": 94.53800262176513, "epoch": 131, "n_parameters": 56070952} +{"train_lr": 0.0006028403834876773, "train_loss": 3.2754756617698546, "test_loss": 0.9251762522440968, "test_acc1": 78.17600259521484, "test_acc5": 94.61600245422363, "epoch": 132, "n_parameters": 56070952} +{"train_lr": 0.0005977537507199184, "train_loss": 3.2684479526621546, "test_loss": 0.8977958132145982, "test_acc1": 78.46800234344482, "test_acc5": 94.77000276794433, "epoch": 133, "n_parameters": 56070952} +{"train_lr": 0.0005926569464581887, "train_loss": 3.2676727761872573, "test_loss": 0.9030440054608114, "test_acc1": 78.43200245361328, "test_acc5": 94.55400264953613, "epoch": 134, "n_parameters": 56070952} +{"train_lr": 0.0005875505296244566, "train_loss": 3.2638204882470823, "test_loss": 0.8931081547881617, "test_acc1": 78.75200256378174, "test_acc5": 94.66400256530761, "epoch": 135, "n_parameters": 56070952} +{"train_lr": 0.0005824350601949218, "train_loss": 3.2575065070967213, "test_loss": 0.899250671944835, "test_acc1": 78.50400237854004, "test_acc5": 94.68600275970459, "epoch": 136, "n_parameters": 56070952} +{"train_lr": 0.0005773110991383895, "train_loss": 3.2579769920602404, "test_loss": 0.8870818721074046, "test_acc1": 78.7460025592041, "test_acc5": 94.77000275054931, "epoch": 137, "n_parameters": 56070952} +{"train_lr": 0.0005721792083549796, "train_loss": 3.254266119022354, "test_loss": 0.9089894077994607, "test_acc1": 78.49600253051757, "test_acc5": 94.80800272399902, "epoch": 138, "n_parameters": 56070952} +{"train_lr": 0.0005670399506143469, "train_loss": 3.2426188344554268, "test_loss": 0.8832105069675229, "test_acc1": 78.72200236938477, "test_acc5": 94.74200243011475, "epoch": 139, "n_parameters": 56070952} +{"train_lr": 0.0005618938894939768, "train_loss": 3.2413724935550294, "test_loss": 0.9058379984714768, "test_acc1": 78.52800239440919, "test_acc5": 94.75200241516113, "epoch": 140, "n_parameters": 56070952} +{"train_lr": 0.0005567415893175016, "train_loss": 3.2452562818471953, "test_loss": 0.9103516917111296, "test_acc1": 78.71800248077392, "test_acc5": 94.71200253417969, "epoch": 141, "n_parameters": 56070952} +{"train_lr": 0.0005515836150926655, "train_loss": 3.2390358570477753, "test_loss": 0.8935151918593681, "test_acc1": 79.0320026123047, "test_acc5": 94.83200274932861, "epoch": 142, "n_parameters": 56070952} +{"train_lr": 0.0005464205324494959, "train_loss": 3.2301069982379653, "test_loss": 0.8916156024418094, "test_acc1": 78.9280024572754, "test_acc5": 94.76000233520507, "epoch": 143, "n_parameters": 56070952} +{"train_lr": 0.0005412529075781865, "train_loss": 3.216625997750498, "test_loss": 0.9021412967280908, "test_acc1": 78.79200264251709, "test_acc5": 94.83000250732422, "epoch": 144, "n_parameters": 56070952} +{"train_lr": 0.0005360813071670112, "train_loss": 3.218284325645887, "test_loss": 0.8732221330882926, "test_acc1": 79.04000253540039, "test_acc5": 94.84400263000488, "epoch": 145, "n_parameters": 56070952} +{"train_lr": 0.0005309062983402611, "train_loss": 3.2179850097373426, "test_loss": 0.9034905876174117, "test_acc1": 79.02200253753662, "test_acc5": 94.86600268310546, "epoch": 146, "n_parameters": 56070952} +{"train_lr": 0.0005257284485959572, "train_loss": 3.215559138072957, "test_loss": 0.8876238990236412, "test_acc1": 79.02400242309571, "test_acc5": 94.9840026550293, "epoch": 147, "n_parameters": 56070952} +{"train_lr": 0.0005205483257436661, "train_loss": 3.2165611835954477, "test_loss": 0.8660215347102194, "test_acc1": 79.15400244720459, "test_acc5": 94.93800245239258, "epoch": 148, "n_parameters": 56070952} +{"train_lr": 0.0005153664978422618, "train_loss": 3.207129857832675, "test_loss": 0.8559873993649627, "test_acc1": 79.25800250183106, "test_acc5": 95.06600259368896, "epoch": 149, "n_parameters": 56070952} +{"train_lr": 0.0005101835331375457, "train_loss": 3.204889511580852, "test_loss": 0.8727342617331129, "test_acc1": 79.19800249542236, "test_acc5": 95.03600241088867, "epoch": 150, "n_parameters": 56070952} +{"train_lr": 0.0005049999999999881, "train_loss": 3.2018783961435395, "test_loss": 0.8763207950149522, "test_acc1": 79.06400266113282, "test_acc5": 94.93400260772705, "epoch": 151, "n_parameters": 56070952} +{"train_lr": 0.0004998164668624689, "train_loss": 3.1958829824753896, "test_loss": 0.8628019439903173, "test_acc1": 79.14400223205567, "test_acc5": 94.99200256988526, "epoch": 152, "n_parameters": 56070952} +{"train_lr": 0.0004946335021577291, "train_loss": 3.1834444424969783, "test_loss": 0.8678412355031028, "test_acc1": 79.0400022567749, "test_acc5": 95.08800254455566, "epoch": 153, "n_parameters": 56070952} +{"train_lr": 0.0004894516742563275, "train_loss": 3.1873094462495533, "test_loss": 0.8790134912864729, "test_acc1": 79.30600244415284, "test_acc5": 95.00800247009278, "epoch": 154, "n_parameters": 56070952} +{"train_lr": 0.0004842715514040588, "train_loss": 3.1764333859312353, "test_loss": 0.897685437152783, "test_acc1": 79.10800242889404, "test_acc5": 94.90600232666016, "epoch": 155, "n_parameters": 56070952} +{"train_lr": 0.00047909370165973703, "train_loss": 3.179849592627858, "test_loss": 0.8702787388906335, "test_acc1": 79.32000245300293, "test_acc5": 95.0340025680542, "epoch": 156, "n_parameters": 56070952} +{"train_lr": 0.00047391869283298395, "train_loss": 3.1663887823680987, "test_loss": 0.8713175165608074, "test_acc1": 79.44400262664794, "test_acc5": 95.01000232025146, "epoch": 157, "n_parameters": 56070952} +{"train_lr": 0.0004687470924218306, "train_loss": 3.1714960282845652, "test_loss": 0.855689456291271, "test_acc1": 79.70200248596191, "test_acc5": 95.17600251373291, "epoch": 158, "n_parameters": 56070952} +{"train_lr": 0.0004635794675504931, "train_loss": 3.164074593501316, "test_loss": 0.8519140198601015, "test_acc1": 79.60400258850098, "test_acc5": 95.18800262664794, "epoch": 159, "n_parameters": 56070952} +{"train_lr": 0.0004584163849073357, "train_loss": 3.159898334293724, "test_loss": 0.8603929373802561, "test_acc1": 79.65000255004882, "test_acc5": 95.18000235321045, "epoch": 160, "n_parameters": 56070952} +{"train_lr": 0.0004532584106825094, "train_loss": 3.1591980092817074, "test_loss": 0.8499632045400866, "test_acc1": 79.72600247344971, "test_acc5": 95.14200246673585, "epoch": 161, "n_parameters": 56070952} +{"train_lr": 0.0004481061105060409, "train_loss": 3.142821520769434, "test_loss": 0.8502173905797077, "test_acc1": 79.92000256439209, "test_acc5": 95.24000250457763, "epoch": 162, "n_parameters": 56070952} +{"train_lr": 0.00044296004938566933, "train_loss": 3.1487507490540962, "test_loss": 0.8480696420777928, "test_acc1": 79.75600230285644, "test_acc5": 95.17600259643555, "epoch": 163, "n_parameters": 56070952} +{"train_lr": 0.0004378207916450146, "train_loss": 3.149653269089669, "test_loss": 0.8503176507850488, "test_acc1": 79.57000255279542, "test_acc5": 95.2200025970459, "epoch": 164, "n_parameters": 56070952} +{"train_lr": 0.00043268890086160794, "train_loss": 3.139812057395633, "test_loss": 0.8428316712379456, "test_acc1": 79.99000252410889, "test_acc5": 95.30800259643554, "epoch": 165, "n_parameters": 56070952} +{"train_lr": 0.00042756493980507503, "train_loss": 3.1410607844352914, "test_loss": 0.8399873967423583, "test_acc1": 79.75600270202636, "test_acc5": 95.27000250579835, "epoch": 166, "n_parameters": 56070952} +{"train_lr": 0.0004224494703755201, "train_loss": 3.1307826665498846, "test_loss": 0.8426862631106016, "test_acc1": 79.9700024041748, "test_acc5": 95.24400259094239, "epoch": 167, "n_parameters": 56070952} +{"train_lr": 0.00041734305354179923, "train_loss": 3.120154113851958, "test_loss": 0.84976992349733, "test_acc1": 79.95800262329101, "test_acc5": 95.26600252868653, "epoch": 168, "n_parameters": 56070952} +{"train_lr": 0.0004122462492800569, "train_loss": 3.123477970953468, "test_loss": 0.845317614349452, "test_acc1": 80.1120025402832, "test_acc5": 95.25800259277344, "epoch": 169, "n_parameters": 56070952} +{"train_lr": 0.0004071596165123325, "train_loss": 3.11729579545754, "test_loss": 0.8459008680374334, "test_acc1": 80.2580024053955, "test_acc5": 95.30200239227295, "epoch": 170, "n_parameters": 56070952} +{"train_lr": 0.0004020837130452182, "train_loss": 3.118867802736666, "test_loss": 0.8275148661976511, "test_acc1": 80.09800244476318, "test_acc5": 95.30600246673583, "epoch": 171, "n_parameters": 56070952} +{"train_lr": 0.00039701909550871056, "train_loss": 3.10233870040265, "test_loss": 0.8286344240786452, "test_acc1": 80.07200234680175, "test_acc5": 95.32200246765137, "epoch": 172, "n_parameters": 56070952} +{"train_lr": 0.0003919663192952229, "train_loss": 3.108978722485707, "test_loss": 0.847097926744909, "test_acc1": 80.03000269104004, "test_acc5": 95.31400240966796, "epoch": 173, "n_parameters": 56070952} +{"train_lr": 0.00038692593849859734, "train_loss": 3.0977686179651442, "test_loss": 0.8301355152419119, "test_acc1": 80.3280025289917, "test_acc5": 95.43800256958008, "epoch": 174, "n_parameters": 56070952} +{"train_lr": 0.0003818985058534034, "train_loss": 3.096816224279068, "test_loss": 0.8355679859717687, "test_acc1": 80.02400212707519, "test_acc5": 95.32000239624024, "epoch": 175, "n_parameters": 56070952} +{"train_lr": 0.0003768845726742596, "train_loss": 3.0963809411707732, "test_loss": 0.8494428865837328, "test_acc1": 79.97200266357422, "test_acc5": 95.40200225036621, "epoch": 176, "n_parameters": 56070952} +{"train_lr": 0.0003718846887954506, "train_loss": 3.0839447200679473, "test_loss": 0.8504549783061851, "test_acc1": 80.15400262176513, "test_acc5": 95.42200274810791, "epoch": 177, "n_parameters": 56070952} +{"train_lr": 0.00036689940251057154, "train_loss": 3.082133933913698, "test_loss": 0.829283323477615, "test_acc1": 80.27800251190186, "test_acc5": 95.3660026727295, "epoch": 178, "n_parameters": 56070952} +{"train_lr": 0.0003619292605124837, "train_loss": 3.0790626125441465, "test_loss": 0.8226720094680786, "test_acc1": 80.3220026147461, "test_acc5": 95.49600253356934, "epoch": 179, "n_parameters": 56070952} +{"train_lr": 0.0003569748078332423, "train_loss": 3.0693501767566165, "test_loss": 0.8357239756168742, "test_acc1": 80.18400249694824, "test_acc5": 95.38800242248536, "epoch": 180, "n_parameters": 56070952} +{"train_lr": 0.00035203658778439235, "train_loss": 3.0720580472386807, "test_loss": 0.8170333316154552, "test_acc1": 80.53800251281739, "test_acc5": 95.54000243225097, "epoch": 181, "n_parameters": 56070952} +{"train_lr": 0.0003471151418974503, "train_loss": 3.067286796992917, "test_loss": 0.8286292083335646, "test_acc1": 80.37600273864746, "test_acc5": 95.47600255798339, "epoch": 182, "n_parameters": 56070952} +{"train_lr": 0.0003422110098644085, "train_loss": 3.0577770045263875, "test_loss": 0.8285564750884519, "test_acc1": 80.44200240875244, "test_acc5": 95.41800270111084, "epoch": 183, "n_parameters": 56070952} +{"train_lr": 0.0003373247294785742, "train_loss": 3.0570543127999508, "test_loss": 0.8301158477411126, "test_acc1": 80.41600272155762, "test_acc5": 95.4980026574707, "epoch": 184, "n_parameters": 56070952} +{"train_lr": 0.0003324568365756944, "train_loss": 3.0515996816632844, "test_loss": 0.8166092076536381, "test_acc1": 80.63000278625488, "test_acc5": 95.43600250915527, "epoch": 185, "n_parameters": 56070952} +{"train_lr": 0.00032760786497508304, "train_loss": 3.045415342056589, "test_loss": 0.8118706950635621, "test_acc1": 80.5580026034546, "test_acc5": 95.61800251800537, "epoch": 186, "n_parameters": 56070952} +{"train_lr": 0.00032277834642108216, "train_loss": 3.047930052669214, "test_loss": 0.8291502897486542, "test_acc1": 80.49600260986328, "test_acc5": 95.62800252441406, "epoch": 187, "n_parameters": 56070952} +{"train_lr": 0.00031796881052486697, "train_loss": 3.034093521029162, "test_loss": 0.8260699270123785, "test_acc1": 80.42200257598877, "test_acc5": 95.50800255981446, "epoch": 188, "n_parameters": 56070952} +{"train_lr": 0.0003131797847062025, "train_loss": 3.0248763621401347, "test_loss": 0.8180900677812822, "test_acc1": 80.73200235992432, "test_acc5": 95.55400274078369, "epoch": 189, "n_parameters": 56070952} +{"train_lr": 0.0003084117941357799, "train_loss": 3.032289361948971, "test_loss": 0.8009802886482441, "test_acc1": 80.66800247894287, "test_acc5": 95.73600262542725, "epoch": 190, "n_parameters": 56070952} +{"train_lr": 0.00030366536167747524, "train_loss": 3.0245477047850855, "test_loss": 0.804786716446732, "test_acc1": 80.77000238647462, "test_acc5": 95.60000268829346, "epoch": 191, "n_parameters": 56070952} +{"train_lr": 0.00029894100783110664, "train_loss": 3.017127878815055, "test_loss": 0.7955175413552559, "test_acc1": 80.8380025341797, "test_acc5": 95.61400251373291, "epoch": 192, "n_parameters": 56070952} +{"train_lr": 0.0002942392506752879, "train_loss": 3.016673184520335, "test_loss": 0.8134104906383789, "test_acc1": 80.9060026235962, "test_acc5": 95.6780024835205, "epoch": 193, "n_parameters": 56070952} +{"train_lr": 0.0002895606058107011, "train_loss": 2.998801116415446, "test_loss": 0.8089020893429265, "test_acc1": 80.81400252502442, "test_acc5": 95.81200249145508, "epoch": 194, "n_parameters": 56070952} +{"train_lr": 0.0002849055863034561, "train_loss": 3.002177794667171, "test_loss": 0.807572512125427, "test_acc1": 80.89000261505127, "test_acc5": 95.67000250213623, "epoch": 195, "n_parameters": 56070952} +{"train_lr": 0.0002802747026289244, "train_loss": 3.0013814896916884, "test_loss": 0.8063876440353466, "test_acc1": 80.99000267547608, "test_acc5": 95.71000251373292, "epoch": 196, "n_parameters": 56070952} +{"train_lr": 0.00027566846261567343, "train_loss": 2.990511918263279, "test_loss": 0.804693924206676, "test_acc1": 80.93000243377685, "test_acc5": 95.75400263244629, "epoch": 197, "n_parameters": 56070952} +{"train_lr": 0.00027108737138981483, "train_loss": 2.989730790412302, "test_loss": 0.7985247580165212, "test_acc1": 81.1600023727417, "test_acc5": 95.75600258178711, "epoch": 198, "n_parameters": 56070952} +{"train_lr": 0.00026653193131964784, "train_loss": 2.979243380083836, "test_loss": 0.7914687986626769, "test_acc1": 81.06000265136718, "test_acc5": 95.77400259796143, "epoch": 199, "n_parameters": 56070952} +{"train_lr": 0.00026200264196050673, "train_loss": 2.9754572892241438, "test_loss": 0.8018219396471977, "test_acc1": 81.09600257019044, "test_acc5": 95.71800246582032, "epoch": 200, "n_parameters": 56070952} +{"train_lr": 0.00025750000000000143, "train_loss": 2.972578224506405, "test_loss": 0.7913290472193197, "test_acc1": 81.214002444458, "test_acc5": 95.77000264678955, "epoch": 201, "n_parameters": 56070952} +{"train_lr": 0.0002530244992035622, "train_loss": 2.9660172176947124, "test_loss": 0.7866711479922136, "test_acc1": 81.25400220062257, "test_acc5": 95.77200252441406, "epoch": 202, "n_parameters": 56070952} +{"train_lr": 0.00024857663036030185, "train_loss": 2.9640550345396823, "test_loss": 0.7900073941458355, "test_acc1": 81.2280026361084, "test_acc5": 95.82800251617432, "epoch": 203, "n_parameters": 56070952} +{"train_lr": 0.00024415688122914167, "train_loss": 2.9630046995947783, "test_loss": 0.7932005460289392, "test_acc1": 81.27000280517578, "test_acc5": 95.78000257873535, "epoch": 204, "n_parameters": 56070952} +{"train_lr": 0.00023976573648539732, "train_loss": 2.9496871208329853, "test_loss": 0.7825584116984498, "test_acc1": 81.31600248718262, "test_acc5": 95.7300026727295, "epoch": 205, "n_parameters": 56070952} +{"train_lr": 0.0002354036776675575, "train_loss": 2.9464475612083882, "test_loss": 0.7789328076848478, "test_acc1": 81.49200241882325, "test_acc5": 95.89200251556396, "epoch": 206, "n_parameters": 56070952} +{"train_lr": 0.00023107118312454297, "train_loss": 2.9437519402312433, "test_loss": 0.7793273591633999, "test_acc1": 81.54000238708497, "test_acc5": 95.88000246459961, "epoch": 207, "n_parameters": 56070952} +{"train_lr": 0.00022676872796319747, "train_loss": 2.934022049383103, "test_loss": 0.7843213464048776, "test_acc1": 81.40200240142822, "test_acc5": 95.85200262786866, "epoch": 208, "n_parameters": 56070952} +{"train_lr": 0.00022249678399621184, "train_loss": 2.9326154862304956, "test_loss": 0.7751616857042818, "test_acc1": 81.53000269042968, "test_acc5": 95.96200236907958, "epoch": 209, "n_parameters": 56070952} +{"train_lr": 0.00021825581969037202, "train_loss": 2.931310072124338, "test_loss": 0.7831251806381977, "test_acc1": 81.42600238586425, "test_acc5": 95.82200242523193, "epoch": 210, "n_parameters": 56070952} +{"train_lr": 0.0002140463001152288, "train_loss": 2.9229983426422046, "test_loss": 0.7941515902903947, "test_acc1": 81.4620024472046, "test_acc5": 95.87000246032714, "epoch": 211, "n_parameters": 56070952} +{"train_lr": 0.00020986868689201908, "train_loss": 2.914120892266766, "test_loss": 0.7868272675709291, "test_acc1": 81.61600253143311, "test_acc5": 96.0000026272583, "epoch": 212, "n_parameters": 56070952} +{"train_lr": 0.00020572343814312388, "train_loss": 2.915773392450228, "test_loss": 0.7805313039006609, "test_acc1": 81.62000247039795, "test_acc5": 95.88400249237061, "epoch": 213, "n_parameters": 56070952} +{"train_lr": 0.00020161100844177222, "train_loss": 2.9077229225973813, "test_loss": 0.7739224447445436, "test_acc1": 81.61000231842041, "test_acc5": 95.96600254211425, "epoch": 214, "n_parameters": 56070952} +{"train_lr": 0.0001975318487622333, "train_loss": 2.9062625741739447, "test_loss": 0.7735305958512154, "test_acc1": 81.59800252441406, "test_acc5": 96.04000259735108, "epoch": 215, "n_parameters": 56070952} +{"train_lr": 0.0001934864064303279, "train_loss": 2.898448621638292, "test_loss": 0.769355979832736, "test_acc1": 81.83600229553223, "test_acc5": 96.0160023840332, "epoch": 216, "n_parameters": 56070952} +{"train_lr": 0.00018947512507439562, "train_loss": 2.8949642553508617, "test_loss": 0.7829709912114071, "test_acc1": 81.55400262298583, "test_acc5": 95.94800263824463, "epoch": 217, "n_parameters": 56070952} +{"train_lr": 0.00018549844457663907, "train_loss": 2.8893713597699606, "test_loss": 0.7711216621100903, "test_acc1": 81.92200234161378, "test_acc5": 95.89800268676758, "epoch": 218, "n_parameters": 56070952} +{"train_lr": 0.00018155680102489234, "train_loss": 2.884122284910948, "test_loss": 0.7746086452494968, "test_acc1": 81.80800268188476, "test_acc5": 95.92800261932373, "epoch": 219, "n_parameters": 56070952} +{"train_lr": 0.00017765062666479713, "train_loss": 2.878383670338719, "test_loss": 0.7765329091837911, "test_acc1": 81.75400250244141, "test_acc5": 96.04000269744873, "epoch": 220, "n_parameters": 56070952} +{"train_lr": 0.0001737803498523614, "train_loss": 2.867994378189103, "test_loss": 0.7671927985819903, "test_acc1": 81.84800237548828, "test_acc5": 96.0340027053833, "epoch": 221, "n_parameters": 56070952} +{"train_lr": 0.0001699463950070852, "train_loss": 2.8667516705157947, "test_loss": 0.7583813311137033, "test_acc1": 81.95400223602294, "test_acc5": 95.97600263946534, "epoch": 222, "n_parameters": 56070952} +{"train_lr": 0.00016614918256530037, "train_loss": 2.8586740980355096, "test_loss": 0.7619239760732109, "test_acc1": 81.90600259094238, "test_acc5": 96.00000235565186, "epoch": 223, "n_parameters": 56070952} +{"train_lr": 0.0001623891289341519, "train_loss": 2.8545683066931655, "test_loss": 0.7667492199124712, "test_acc1": 81.94600234161376, "test_acc5": 96.03000265045166, "epoch": 224, "n_parameters": 56070952} +{"train_lr": 0.00015866664644587948, "train_loss": 2.8500646068323716, "test_loss": 0.7676638614837871, "test_acc1": 81.82200278411865, "test_acc5": 96.11200252075196, "epoch": 225, "n_parameters": 56070952} +{"train_lr": 0.00015498214331266302, "train_loss": 2.8527860859696337, "test_loss": 0.7672599515680111, "test_acc1": 81.98600264007568, "test_acc5": 96.12400268951416, "epoch": 226, "n_parameters": 56070952} +{"train_lr": 0.00015133602358175863, "train_loss": 2.8453603652622297, "test_loss": 0.7716687399555336, "test_acc1": 81.9920025366211, "test_acc5": 96.05200264495849, "epoch": 227, "n_parameters": 56070952} +{"train_lr": 0.00014772868709131358, "train_loss": 2.836929890487215, "test_loss": 0.7708610697000315, "test_acc1": 81.9360024685669, "test_acc5": 96.03800255645751, "epoch": 228, "n_parameters": 56070952} +{"train_lr": 0.00014416052942639815, "train_loss": 2.831334887970266, "test_loss": 0.752284475743319, "test_acc1": 82.10000264801026, "test_acc5": 96.10000235717773, "epoch": 229, "n_parameters": 56070952} +{"train_lr": 0.0001406319418757283, "train_loss": 2.8201824642485565, "test_loss": 0.7710969260696209, "test_acc1": 82.03000245819092, "test_acc5": 96.09400236816407, "epoch": 230, "n_parameters": 56070952} +{"train_lr": 0.00013714331138869076, "train_loss": 2.824247148349512, "test_loss": 0.7644383419643749, "test_acc1": 82.11000255004883, "test_acc5": 96.06400261749268, "epoch": 231, "n_parameters": 56070952} +{"train_lr": 0.00013369502053292505, "train_loss": 2.8132973120128697, "test_loss": 0.7680967894918991, "test_acc1": 81.98800250152588, "test_acc5": 96.1560023840332, "epoch": 232, "n_parameters": 56070952} +{"train_lr": 0.00013028744745238475, "train_loss": 2.8147577189451023, "test_loss": 0.7647389043686967, "test_acc1": 82.24400234497071, "test_acc5": 96.14800252868652, "epoch": 233, "n_parameters": 56070952} +{"train_lr": 0.0001269209658258495, "train_loss": 2.8075021827082742, "test_loss": 0.7567278663204475, "test_acc1": 82.08400266998291, "test_acc5": 96.07800233337403, "epoch": 234, "n_parameters": 56070952} +{"train_lr": 0.0001235959448259827, "train_loss": 2.798563458138614, "test_loss": 0.7524392242458734, "test_acc1": 82.32400266906738, "test_acc5": 96.15200243713379, "epoch": 235, "n_parameters": 56070952} +{"train_lr": 0.00012031274907879949, "train_loss": 2.7973700450550165, "test_loss": 0.750975438252543, "test_acc1": 82.23000223968506, "test_acc5": 96.18600249603271, "epoch": 236, "n_parameters": 56070952} +{"train_lr": 0.00011707173862371172, "train_loss": 2.78757082393987, "test_loss": 0.7576717466793277, "test_acc1": 82.37600252990723, "test_acc5": 96.21400232971192, "epoch": 237, "n_parameters": 56070952} +{"train_lr": 0.00011387326887403272, "train_loss": 2.790752254932714, "test_loss": 0.7554708168362126, "test_acc1": 82.26000242553711, "test_acc5": 96.17800260864257, "epoch": 238, "n_parameters": 56070952} +{"train_lr": 0.00011071769057802179, "train_loss": 2.7840405176464413, "test_loss": 0.7498945511425986, "test_acc1": 82.27000244354248, "test_acc5": 96.152002444458, "epoch": 239, "n_parameters": 56070952} +{"train_lr": 0.00010760534978039747, "train_loss": 2.7790981782711954, "test_loss": 0.7571528478328026, "test_acc1": 82.42400252716064, "test_acc5": 96.09800236572265, "epoch": 240, "n_parameters": 56070952} +{"train_lr": 0.00010453658778440302, "train_loss": 2.7665026620042314, "test_loss": 0.7550636478558634, "test_acc1": 82.34400237365723, "test_acc5": 96.14600236358642, "epoch": 241, "n_parameters": 56070952} +{"train_lr": 0.0001015117411143637, "train_loss": 2.7641616145865044, "test_loss": 0.7548596019094641, "test_acc1": 82.40600264587403, "test_acc5": 96.16000253479004, "epoch": 242, "n_parameters": 56070952} +{"train_lr": 9.853114147881454e-05, "train_loss": 2.7548769437294784, "test_loss": 0.7469516132365573, "test_acc1": 82.4680025680542, "test_acc5": 96.2100027456665, "epoch": 243, "n_parameters": 56070952} +{"train_lr": 9.559511573409267e-05, "train_loss": 2.7538174738605723, "test_loss": 0.7523915106712868, "test_acc1": 82.49800253753662, "test_acc5": 96.23400264068603, "epoch": 244, "n_parameters": 56070952} +{"train_lr": 9.270398584849976e-05, "train_loss": 2.7464293577640557, "test_loss": 0.7577021610782002, "test_acc1": 82.48600258117676, "test_acc5": 96.28600267425537, "epoch": 245, "n_parameters": 56070952} +{"train_lr": 8.985806886701763e-05, "train_loss": 2.7427605736455756, "test_loss": 0.7533990758838076, "test_acc1": 82.40200253173828, "test_acc5": 96.11400262542725, "epoch": 246, "n_parameters": 56070952} +{"train_lr": 8.705767687650155e-05, "train_loss": 2.7361567075923383, "test_loss": 0.7481333966169393, "test_acc1": 82.37600252166747, "test_acc5": 96.2540023361206, "epoch": 247, "n_parameters": 56070952} +{"train_lr": 8.430311697149993e-05, "train_loss": 2.7407939947790187, "test_loss": 0.7443797689382777, "test_acc1": 82.51400248565673, "test_acc5": 96.23400244262696, "epoch": 248, "n_parameters": 56070952} +{"train_lr": 8.159469122054745e-05, "train_loss": 2.73135782530506, "test_loss": 0.7508283981093855, "test_acc1": 82.55400243652343, "test_acc5": 96.21600261016846, "epoch": 249, "n_parameters": 56070952} +{"train_lr": 7.893269663304691e-05, "train_loss": 2.72858430477355, "test_loss": 0.7506399320043398, "test_acc1": 82.63600236755371, "test_acc5": 96.27400272583007, "epoch": 250, "n_parameters": 56070952} +{"train_lr": 7.631742512670381e-05, "train_loss": 2.717930794560271, "test_loss": 0.7400877168119857, "test_acc1": 82.64800253143311, "test_acc5": 96.27000252441407, "epoch": 251, "n_parameters": 56070952} +{"train_lr": 7.37491634955067e-05, "train_loss": 2.712414977183159, "test_loss": 0.7400129201511542, "test_acc1": 82.56200258666992, "test_acc5": 96.26000257659912, "epoch": 252, "n_parameters": 56070952} +{"train_lr": 7.122819337828824e-05, "train_loss": 2.7095617338907805, "test_loss": 0.7448844117761562, "test_acc1": 82.57800262176514, "test_acc5": 96.2080023236084, "epoch": 253, "n_parameters": 56070952} +{"train_lr": 6.875479122782832e-05, "train_loss": 2.700247832256065, "test_loss": 0.7396176216390097, "test_acc1": 82.68000247467042, "test_acc5": 96.2520025466919, "epoch": 254, "n_parameters": 56070952} +{"train_lr": 6.632922828055003e-05, "train_loss": 2.706891934672515, "test_loss": 0.7481152156763005, "test_acc1": 82.65400248016357, "test_acc5": 96.23800263183594, "epoch": 255, "n_parameters": 56070952} +{"train_lr": 6.395177052675899e-05, "train_loss": 2.702373117518177, "test_loss": 0.7496705095876347, "test_acc1": 82.62600254364014, "test_acc5": 96.23000250488282, "epoch": 256, "n_parameters": 56070952} +{"train_lr": 6.162267868149164e-05, "train_loss": 2.699609562099504, "test_loss": 0.7435607237910683, "test_acc1": 82.59400254577636, "test_acc5": 96.2900023562622, "epoch": 257, "n_parameters": 56070952} +{"train_lr": 5.934220815591336e-05, "train_loss": 2.689179568398866, "test_loss": 0.7418160820662072, "test_acc1": 82.74400253967285, "test_acc5": 96.25200250915528, "epoch": 258, "n_parameters": 56070952} +{"train_lr": 5.7110609029320316e-05, "train_loss": 2.6849243792174438, "test_loss": 0.7441102589170138, "test_acc1": 82.73000220947266, "test_acc5": 96.33000278289795, "epoch": 259, "n_parameters": 56070952} +{"train_lr": 5.492812602170232e-05, "train_loss": 2.682361481977786, "test_loss": 0.7374375430359081, "test_acc1": 82.76400256469726, "test_acc5": 96.23800256622314, "epoch": 260, "n_parameters": 56070952} +{"train_lr": 5.2794998466913834e-05, "train_loss": 2.687717461352535, "test_loss": 0.7369609669866887, "test_acc1": 82.67800263671874, "test_acc5": 96.21400255004883, "epoch": 261, "n_parameters": 56070952} +{"train_lr": 5.0711460286429e-05, "train_loss": 2.675093746287741, "test_loss": 0.7453662734478712, "test_acc1": 82.75200254333497, "test_acc5": 96.27400252075195, "epoch": 262, "n_parameters": 56070952} +{"train_lr": 4.8677739963691566e-05, "train_loss": 2.6772173692901835, "test_loss": 0.7439215492005601, "test_acc1": 82.83000246276856, "test_acc5": 96.29400253753663, "epoch": 263, "n_parameters": 56070952} +{"train_lr": 4.669406051905346e-05, "train_loss": 2.664038314831724, "test_loss": 0.7350224565263047, "test_acc1": 82.7740026348877, "test_acc5": 96.30600225982666, "epoch": 264, "n_parameters": 56070952} +{"train_lr": 4.476063948531632e-05, "train_loss": 2.666462331891155, "test_loss": 0.7443909993903204, "test_acc1": 82.74600269775391, "test_acc5": 96.16200245849609, "epoch": 265, "n_parameters": 56070952} +{"train_lr": 4.287768888388454e-05, "train_loss": 2.6616965968140978, "test_loss": 0.7401393189123182, "test_acc1": 82.62600224945068, "test_acc5": 96.28600261871338, "epoch": 266, "n_parameters": 56070952} +{"train_lr": 4.1045415201513915e-05, "train_loss": 2.654816916199039, "test_loss": 0.7432932548902251, "test_acc1": 82.71400248291016, "test_acc5": 96.2740026965332, "epoch": 267, "n_parameters": 56070952} +{"train_lr": 3.926401936765786e-05, "train_loss": 2.6548557288164525, "test_loss": 0.7383161848128745, "test_acc1": 82.86400256988526, "test_acc5": 96.24400286621093, "epoch": 268, "n_parameters": 56070952} +{"train_lr": 3.753369673244709e-05, "train_loss": 2.649063327246242, "test_loss": 0.741711231061455, "test_acc1": 82.8600024243164, "test_acc5": 96.29800277832031, "epoch": 269, "n_parameters": 56070952} +{"train_lr": 3.585463704525412e-05, "train_loss": 2.6496511080758656, "test_loss": 0.7362119627156944, "test_acc1": 82.99600270202637, "test_acc5": 96.34000277130127, "epoch": 270, "n_parameters": 56070952} +{"train_lr": 3.4227024433899046e-05, "train_loss": 2.635508373212948, "test_loss": 0.7359987648034637, "test_acc1": 82.84200226196289, "test_acc5": 96.25200259094238, "epoch": 271, "n_parameters": 56070952} +{"train_lr": 3.2651037384443736e-05, "train_loss": 2.6370228260374375, "test_loss": 0.7340327239962239, "test_acc1": 82.904002527771, "test_acc5": 96.26800266723633, "epoch": 272, "n_parameters": 56070952} +{"train_lr": 3.112684872162703e-05, "train_loss": 2.6393784415617074, "test_loss": 0.7326804089613936, "test_acc1": 82.92600266662598, "test_acc5": 96.33600267700196, "epoch": 273, "n_parameters": 56070952} +{"train_lr": 2.9654625589913e-05, "train_loss": 2.6372357428693274, "test_loss": 0.7394558463922956, "test_acc1": 82.9340024206543, "test_acc5": 96.2720024533081, "epoch": 274, "n_parameters": 56070952} +{"train_lr": 2.8234529435159726e-05, "train_loss": 2.633075375708459, "test_loss": 0.734818612987345, "test_acc1": 83.05600262237549, "test_acc5": 96.30400250854493, "epoch": 275, "n_parameters": 56070952} +{"train_lr": 2.686671598691151e-05, "train_loss": 2.6335917086862355, "test_loss": 0.7368482387427128, "test_acc1": 82.90400236724854, "test_acc5": 96.27400263183594, "epoch": 276, "n_parameters": 56070952} +{"train_lr": 2.55513352413271e-05, "train_loss": 2.6304516721424536, "test_loss": 0.7402567302413059, "test_acc1": 82.94400233093262, "test_acc5": 96.30200247039795, "epoch": 277, "n_parameters": 56070952} +{"train_lr": 2.4288531444729954e-05, "train_loss": 2.6271474113424333, "test_loss": 0.7325898119333115, "test_acc1": 83.09400235046387, "test_acc5": 96.31800258392335, "epoch": 278, "n_parameters": 56070952} +{"train_lr": 2.3078443077785567e-05, "train_loss": 2.6223523878841566, "test_loss": 0.7395653202565331, "test_acc1": 82.93200255645752, "test_acc5": 96.31000280761718, "epoch": 279, "n_parameters": 56070952} +{"train_lr": 2.192120284031953e-05, "train_loss": 2.612145275139599, "test_loss": 0.7391995416784828, "test_acc1": 82.83800239013672, "test_acc5": 96.29800259033203, "epoch": 280, "n_parameters": 56070952} +{"train_lr": 2.0816937636766537e-05, "train_loss": 2.619359881984149, "test_loss": 0.7348147174625685, "test_acc1": 82.87800271972657, "test_acc5": 96.34000272979736, "epoch": 281, "n_parameters": 56070952} +{"train_lr": 1.976576856224742e-05, "train_loss": 2.6181795940005617, "test_loss": 0.7338652311062271, "test_acc1": 82.96000260742187, "test_acc5": 96.33600258300781, "epoch": 282, "n_parameters": 56070952} +{"train_lr": 1.8767810889299472e-05, "train_loss": 2.611078620969439, "test_loss": 0.7363009058277715, "test_acc1": 82.98200239959716, "test_acc5": 96.2940028567505, "epoch": 283, "n_parameters": 56070952} +{"train_lr": 1.7823174055225238e-05, "train_loss": 2.604339568330039, "test_loss": 0.7359389472527035, "test_acc1": 82.99000251647949, "test_acc5": 96.31600264801025, "epoch": 284, "n_parameters": 56070952} +{"train_lr": 1.6931961650100128e-05, "train_loss": 2.6046107264874365, "test_loss": 0.7356147242879326, "test_acc1": 83.00000260253907, "test_acc5": 96.29800253173828, "epoch": 285, "n_parameters": 56070952} +{"train_lr": 1.609427140540658e-05, "train_loss": 2.6034816463621593, "test_loss": 0.7355251102849389, "test_acc1": 83.03400240478516, "test_acc5": 96.30000251129151, "epoch": 286, "n_parameters": 56070952} +{"train_lr": 1.5310195183320784e-05, "train_loss": 2.602115084810985, "test_loss": 0.7390138900302576, "test_acc1": 82.92400239196778, "test_acc5": 96.28400247650147, "epoch": 287, "n_parameters": 56070952} +{"train_lr": 1.4579818966635116e-05, "train_loss": 2.59972466284232, "test_loss": 0.7363484091492314, "test_acc1": 83.04000255828858, "test_acc5": 96.32000309783936, "epoch": 288, "n_parameters": 56070952} +{"train_lr": 1.3903222849333426e-05, "train_loss": 2.597027788738267, "test_loss": 0.7356535971277591, "test_acc1": 83.07000251281738, "test_acc5": 96.31800261322022, "epoch": 289, "n_parameters": 56070952} +{"train_lr": 1.3280481027803718e-05, "train_loss": 2.60242959320974, "test_loss": 0.7384665112829569, "test_acc1": 83.07600269561767, "test_acc5": 96.3240027294922, "epoch": 290, "n_parameters": 56070952} +{"train_lr": 1.2711661792704427e-05, "train_loss": 2.5954988421820144, "test_loss": 0.7383947274788762, "test_acc1": 83.01000248565674, "test_acc5": 96.32600262298584, "epoch": 291, "n_parameters": 56070952} +{"train_lr": 1.2196827521475628e-05, "train_loss": 2.5886784913323577, "test_loss": 0.7346770769041596, "test_acc1": 83.04200270660401, "test_acc5": 96.30200265136719, "epoch": 292, "n_parameters": 56070952} +{"train_lr": 1.1736034671495227e-05, "train_loss": 2.5890505638101593, "test_loss": 0.7351158541824782, "test_acc1": 83.05800249755859, "test_acc5": 96.32400268798828, "epoch": 293, "n_parameters": 56070952} +{"train_lr": 1.1329333773893123e-05, "train_loss": 2.589422369413048, "test_loss": 0.7353222288304206, "test_acc1": 83.03800243560791, "test_acc5": 96.3220026550293, "epoch": 294, "n_parameters": 56070952} +{"train_lr": 1.0976769428005425e-05, "train_loss": 2.591457188212805, "test_loss": 0.7361843993492199, "test_acc1": 83.03200256866455, "test_acc5": 96.2920025378418, "epoch": 295, "n_parameters": 56070952} +{"train_lr": 1.067838029648576e-05, "train_loss": 2.58938848312429, "test_loss": 0.7370702390079246, "test_acc1": 82.99000250396729, "test_acc5": 96.30800263122559, "epoch": 296, "n_parameters": 56070952} +{"train_lr": 1.0434199101065238e-05, "train_loss": 2.590503379881239, "test_loss": 0.7373195072128014, "test_acc1": 83.02800247650147, "test_acc5": 96.32200250762939, "epoch": 297, "n_parameters": 56070952} +{"train_lr": 1.0244252618963044e-05, "train_loss": 2.586431997904865, "test_loss": 0.7354221188773712, "test_acc1": 83.16000232391357, "test_acc5": 96.36000257598877, "epoch": 298, "n_parameters": 56070952} +{"train_lr": 1.0108561679951307e-05, "train_loss": 2.584265798747206, "test_loss": 0.7361404255145427, "test_acc1": 83.0360026550293, "test_acc5": 96.33600267791748, "epoch": 299, "n_parameters": 56070952} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt new file mode 100644 index 000000000..c666638e7 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt @@ -0,0 +1,300 @@ +{"train_lr": 9.999999999999953e-07, "train_loss": 6.928760515843078, "test_loss": 6.824962336005586, "test_acc1": 0.4540000193309784, "test_acc5": 1.9660000773239135, "epoch": 0, "n_parameters": 99271400} +{"train_lr": 9.999999999999953e-07, "train_loss": 6.897234051776447, "test_loss": 6.7699562654350744, "test_acc1": 0.526000022392273, "test_acc5": 2.3820000844955445, "epoch": 1, "n_parameters": 99271400} +{"train_lr": 5.0950000000000534e-05, "train_loss": 6.7420130617422265, "test_loss": 6.018134153250492, "test_acc1": 3.030000091934204, "test_acc5": 10.162000326004028, "epoch": 2, "n_parameters": 99271400} +{"train_lr": 0.00010090000000000069, "train_loss": 6.4999226873917735, "test_loss": 5.416668476480426, "test_acc1": 6.672000200805664, "test_acc5": 19.508000617523194, "epoch": 3, "n_parameters": 99271400} +{"train_lr": 0.0001508500000000009, "train_loss": 6.281763930400785, "test_loss": 4.713242413419666, "test_acc1": 13.634000410461425, "test_acc5": 31.800000856018066, "epoch": 4, "n_parameters": 99271400} +{"train_lr": 0.00020080000000000092, "train_loss": 6.049766719960671, "test_loss": 4.09996968869007, "test_acc1": 20.56000051803589, "test_acc5": 42.95600104019165, "epoch": 5, "n_parameters": 99271400} +{"train_lr": 0.0002507500000000009, "train_loss": 5.830141125203704, "test_loss": 3.58018564545747, "test_acc1": 27.346000779724122, "test_acc5": 52.00800145172119, "epoch": 6, "n_parameters": 99271400} +{"train_lr": 0.00030069999999999164, "train_loss": 5.607594518448047, "test_loss": 3.1222982718185945, "test_acc1": 34.31000096343994, "test_acc5": 60.0980016696167, "epoch": 7, "n_parameters": 99271400} +{"train_lr": 0.0003506500000000049, "train_loss": 5.426840302850798, "test_loss": 2.8445870090614664, "test_acc1": 39.4720010647583, "test_acc5": 65.79000179901124, "epoch": 8, "n_parameters": 99271400} +{"train_lr": 0.000400599999999987, "train_loss": 5.268911474471469, "test_loss": 2.58816225510655, "test_acc1": 43.67000117919922, "test_acc5": 69.96400200195312, "epoch": 9, "n_parameters": 99271400} +{"train_lr": 0.00045055000000000117, "train_loss": 5.124358480878109, "test_loss": 2.4426551799882543, "test_acc1": 47.250001272735595, "test_acc5": 73.01200247406005, "epoch": 10, "n_parameters": 99271400} +{"train_lr": 0.0005005000000000065, "train_loss": 4.991296570244834, "test_loss": 2.288726020039934, "test_acc1": 50.258001329040525, "test_acc5": 75.98200247802734, "epoch": 11, "n_parameters": 99271400} +{"train_lr": 0.0005504499999999883, "train_loss": 4.893125669680816, "test_loss": 2.14928955562187, "test_acc1": 52.7360013949585, "test_acc5": 78.12400245971679, "epoch": 12, "n_parameters": 99271400} +{"train_lr": 0.0006003999999999824, "train_loss": 4.779648667378582, "test_loss": 2.008219679648226, "test_acc1": 54.808001581115725, "test_acc5": 79.66400255889893, "epoch": 13, "n_parameters": 99271400} +{"train_lr": 0.0006503500000000137, "train_loss": 4.702303332199962, "test_loss": 1.9424930941877943, "test_acc1": 56.70000157196045, "test_acc5": 81.37000258575439, "epoch": 14, "n_parameters": 99271400} +{"train_lr": 0.0007002999999999889, "train_loss": 4.620291352414971, "test_loss": 1.8686695367549404, "test_acc1": 57.91200165008545, "test_acc5": 82.31000299957276, "epoch": 15, "n_parameters": 99271400} +{"train_lr": 0.0007502499999999806, "train_loss": 4.550587804173585, "test_loss": 1.758577410921906, "test_acc1": 59.90600161560059, "test_acc5": 83.82200249359131, "epoch": 16, "n_parameters": 99271400} +{"train_lr": 0.0008002000000000078, "train_loss": 4.49574390844666, "test_loss": 1.7333977123101552, "test_acc1": 60.66000165222168, "test_acc5": 84.36000238250732, "epoch": 17, "n_parameters": 99271400} +{"train_lr": 0.0008501499999999947, "train_loss": 4.43440098282721, "test_loss": 1.661655767397447, "test_acc1": 61.736001785888675, "test_acc5": 85.09000255065918, "epoch": 18, "n_parameters": 99271400} +{"train_lr": 0.0009000999999999793, "train_loss": 4.3851636172675015, "test_loss": 1.6033145209605044, "test_acc1": 62.938001611938475, "test_acc5": 85.67600247131348, "epoch": 19, "n_parameters": 99271400} +{"train_lr": 0.0009500499999999992, "train_loss": 4.333516633744053, "test_loss": 1.634541380360271, "test_acc1": 63.48000175170898, "test_acc5": 86.18200238739014, "epoch": 20, "n_parameters": 99271400} +{"train_lr": 0.000989183062363242, "train_loss": 4.288024426793023, "test_loss": 1.5977263242909403, "test_acc1": 64.42800200408935, "test_acc5": 86.63400241210938, "epoch": 21, "n_parameters": 99271400} +{"train_lr": 0.0009880787971596754, "train_loss": 4.2344474753172845, "test_loss": 1.5248981750372685, "test_acc1": 65.57400197509766, "test_acc5": 87.4000026815796, "epoch": 22, "n_parameters": 99271400} +{"train_lr": 0.0009869215569222388, "train_loss": 4.1863440828595895, "test_loss": 1.475460198566769, "test_acc1": 66.560002036438, "test_acc5": 88.13400269104004, "epoch": 23, "n_parameters": 99271400} +{"train_lr": 0.000985711468555267, "train_loss": 4.145421564912529, "test_loss": 1.3947031836618076, "test_acc1": 67.17200190490723, "test_acc5": 88.64400254302979, "epoch": 24, "n_parameters": 99271400} +{"train_lr": 0.0009844486647586856, "train_loss": 4.097971142362729, "test_loss": 1.3875608884475448, "test_acc1": 67.79800208526612, "test_acc5": 88.98200231994629, "epoch": 25, "n_parameters": 99271400} +{"train_lr": 0.00098313328401311, "train_loss": 4.057268117686256, "test_loss": 1.3542503967429653, "test_acc1": 68.50800198944091, "test_acc5": 89.3300025338745, "epoch": 26, "n_parameters": 99271400} +{"train_lr": 0.0009817654705648337, "train_loss": 4.0188437361511395, "test_loss": 1.3526581507740598, "test_acc1": 68.96400212982178, "test_acc5": 89.4800026803589, "epoch": 27, "n_parameters": 99271400} +{"train_lr": 0.0009803453744100898, "train_loss": 3.991692518325542, "test_loss": 1.306684743274342, "test_acc1": 69.35600213714599, "test_acc5": 89.79400246185303, "epoch": 28, "n_parameters": 99271400} +{"train_lr": 0.0009788731512783825, "train_loss": 3.9575973870180587, "test_loss": 1.2891391705382953, "test_acc1": 69.76400212371826, "test_acc5": 90.09000278686523, "epoch": 29, "n_parameters": 99271400} +{"train_lr": 0.00097734896261555, "train_loss": 3.9229012939760346, "test_loss": 1.2678685181520202, "test_acc1": 70.29400211181641, "test_acc5": 90.39200256286621, "epoch": 30, "n_parameters": 99271400} +{"train_lr": 0.0009757729755660996, "train_loss": 3.9107936007751647, "test_loss": 1.238811174802708, "test_acc1": 70.50200232940674, "test_acc5": 90.48000243652343, "epoch": 31, "n_parameters": 99271400} +{"train_lr": 0.000974145362954742, "train_loss": 3.8830806486707607, "test_loss": 1.2345464990446062, "test_acc1": 71.11000225097656, "test_acc5": 90.99600257537841, "epoch": 32, "n_parameters": 99271400} +{"train_lr": 0.0009724663032675332, "train_loss": 3.859966681705867, "test_loss": 1.211002467482379, "test_acc1": 71.54400245666504, "test_acc5": 91.25600260009766, "epoch": 33, "n_parameters": 99271400} +{"train_lr": 0.000970735980632352, "train_loss": 3.841157132820736, "test_loss": 1.2056523994965986, "test_acc1": 71.58800243164063, "test_acc5": 91.21000230041504, "epoch": 34, "n_parameters": 99271400} +{"train_lr": 0.0009689545847984843, "train_loss": 3.8279712756665396, "test_loss": 1.204271144487641, "test_acc1": 71.83200237823486, "test_acc5": 91.17600255187989, "epoch": 35, "n_parameters": 99271400} +{"train_lr": 0.000967122311116087, "train_loss": 3.803732246660786, "test_loss": 1.177967329819997, "test_acc1": 71.97200230072022, "test_acc5": 91.48400245239257, "epoch": 36, "n_parameters": 99271400} +{"train_lr": 0.000965239360514694, "train_loss": 3.7898721539859865, "test_loss": 1.1626662381670692, "test_acc1": 72.65000234527588, "test_acc5": 91.82200269073486, "epoch": 37, "n_parameters": 99271400} +{"train_lr": 0.0009633059394809262, "train_loss": 3.7754830115323634, "test_loss": 1.1721334985711358, "test_acc1": 72.61600207611085, "test_acc5": 91.75000246368408, "epoch": 38, "n_parameters": 99271400} +{"train_lr": 0.0009613222600362934, "train_loss": 3.757657913900584, "test_loss": 1.1836929461269667, "test_acc1": 72.42000206268311, "test_acc5": 91.65400253845215, "epoch": 39, "n_parameters": 99271400} +{"train_lr": 0.0009592885397135909, "train_loss": 3.7423067250364213, "test_loss": 1.1313152518687826, "test_acc1": 73.28800234008789, "test_acc5": 91.9460024255371, "epoch": 40, "n_parameters": 99271400} +{"train_lr": 0.0009572050015330907, "train_loss": 3.7412334369669717, "test_loss": 1.1474762574741335, "test_acc1": 73.51400249664307, "test_acc5": 92.18800239105225, "epoch": 41, "n_parameters": 99271400} +{"train_lr": 0.0009550718739782929, "train_loss": 3.7118759863525272, "test_loss": 1.094067342014927, "test_acc1": 73.49600220031738, "test_acc5": 92.2640025265503, "epoch": 42, "n_parameters": 99271400} +{"train_lr": 0.0009528893909706948, "train_loss": 3.704448473658398, "test_loss": 1.1707148484208367, "test_acc1": 73.14200228729248, "test_acc5": 92.05400252044677, "epoch": 43, "n_parameters": 99271400} +{"train_lr": 0.0009506577918441058, "train_loss": 3.692796388952185, "test_loss": 1.091471901107015, "test_acc1": 73.76000268981933, "test_acc5": 92.47200249572754, "epoch": 44, "n_parameters": 99271400} +{"train_lr": 0.0009483773213185082, "train_loss": 3.67974077549865, "test_loss": 1.1118121847058788, "test_acc1": 74.05200222015381, "test_acc5": 92.32400242248535, "epoch": 45, "n_parameters": 99271400} +{"train_lr": 0.0009460482294732177, "train_loss": 3.6795907001987063, "test_loss": 1.0820177188425353, "test_acc1": 74.06000256011963, "test_acc5": 92.65200250152589, "epoch": 46, "n_parameters": 99271400} +{"train_lr": 0.000943670771719436, "train_loss": 3.6646829414948954, "test_loss": 1.0933165078361828, "test_acc1": 74.33800246154784, "test_acc5": 92.52800250427246, "epoch": 47, "n_parameters": 99271400} +{"train_lr": 0.0009412452087721683, "train_loss": 3.654849981113399, "test_loss": 1.0773461200296879, "test_acc1": 74.21200253234863, "test_acc5": 92.5540024484253, "epoch": 48, "n_parameters": 99271400} +{"train_lr": 0.0009387718066217019, "train_loss": 3.6464001779838338, "test_loss": 1.0681458280393572, "test_acc1": 74.53600222167968, "test_acc5": 92.70600265014649, "epoch": 49, "n_parameters": 99271400} +{"train_lr": 0.000936250836504503, "train_loss": 3.636794249407298, "test_loss": 1.0689788815198522, "test_acc1": 74.53000241333008, "test_acc5": 92.79600239257813, "epoch": 50, "n_parameters": 99271400} +{"train_lr": 0.0009336825748732897, "train_loss": 3.618885476597779, "test_loss": 1.0701092324699417, "test_acc1": 74.69400267089844, "test_acc5": 92.72000249603272, "epoch": 51, "n_parameters": 99271400} +{"train_lr": 0.0009310673033669664, "train_loss": 3.6128003196321803, "test_loss": 1.0796345823416205, "test_acc1": 74.71800237213135, "test_acc5": 92.75000262756348, "epoch": 52, "n_parameters": 99271400} +{"train_lr": 0.0009284053087794627, "train_loss": 3.6011797199003417, "test_loss": 1.0429037005612345, "test_acc1": 74.95600245147705, "test_acc5": 93.0440022491455, "epoch": 53, "n_parameters": 99271400} +{"train_lr": 0.0009256968830284788, "train_loss": 3.6046689034556505, "test_loss": 1.0417460774381955, "test_acc1": 75.14000249053954, "test_acc5": 93.0480024017334, "epoch": 54, "n_parameters": 99271400} +{"train_lr": 0.0009229423231234935, "train_loss": 3.6004212367639457, "test_loss": 1.075492378662933, "test_acc1": 74.99600247131347, "test_acc5": 92.87600254058837, "epoch": 55, "n_parameters": 99271400} +{"train_lr": 0.0009201419311329745, "train_loss": 3.5978446386986787, "test_loss": 1.0636333527438568, "test_acc1": 74.88000253479004, "test_acc5": 92.92000272766113, "epoch": 56, "n_parameters": 99271400} +{"train_lr": 0.0009172960141514878, "train_loss": 3.5714304500775373, "test_loss": 1.0369002724235707, "test_acc1": 75.21400265686034, "test_acc5": 93.09600272216797, "epoch": 57, "n_parameters": 99271400} +{"train_lr": 0.0009144048842658995, "train_loss": 3.5794723324781414, "test_loss": 1.0314094412958983, "test_acc1": 75.42000255493164, "test_acc5": 93.03000234893798, "epoch": 58, "n_parameters": 99271400} +{"train_lr": 0.0009114688585212051, "train_loss": 3.5774283048679694, "test_loss": 1.019207039339976, "test_acc1": 75.50800241271973, "test_acc5": 93.184002684021, "epoch": 59, "n_parameters": 99271400} +{"train_lr": 0.0009084882588856559, "train_loss": 3.55986615893938, "test_loss": 1.0170320324373967, "test_acc1": 75.43200239898681, "test_acc5": 93.20400251068115, "epoch": 60, "n_parameters": 99271400} +{"train_lr": 0.0009054634122156225, "train_loss": 3.5573030549773783, "test_loss": 1.0255938837248268, "test_acc1": 75.39800248565673, "test_acc5": 93.26400244628907, "epoch": 61, "n_parameters": 99271400} +{"train_lr": 0.0009023946502195918, "train_loss": 3.5518423055859207, "test_loss": 1.0427991391131373, "test_acc1": 75.56400261322021, "test_acc5": 93.33000257659913, "epoch": 62, "n_parameters": 99271400} +{"train_lr": 0.0008992823094219693, "train_loss": 3.5442433232883754, "test_loss": 1.004823091919675, "test_acc1": 75.69400238494873, "test_acc5": 93.3680025137329, "epoch": 63, "n_parameters": 99271400} +{"train_lr": 0.0008961267311259657, "train_loss": 3.5414224459017687, "test_loss": 1.0059765313159337, "test_acc1": 75.83000250030517, "test_acc5": 93.31400258056641, "epoch": 64, "n_parameters": 99271400} +{"train_lr": 0.0008929282613763057, "train_loss": 3.53673741426304, "test_loss": 1.0274373406939434, "test_acc1": 75.97800260742187, "test_acc5": 93.4860024887085, "epoch": 65, "n_parameters": 99271400} +{"train_lr": 0.0008896872509212006, "train_loss": 3.5302292510902853, "test_loss": 1.0103091658516363, "test_acc1": 75.78400244354248, "test_acc5": 93.44600261474609, "epoch": 66, "n_parameters": 99271400} +{"train_lr": 0.0008864040551740224, "train_loss": 3.5277827451173827, "test_loss": 1.0423150052401153, "test_acc1": 75.6640024810791, "test_acc5": 93.44200269805908, "epoch": 67, "n_parameters": 99271400} +{"train_lr": 0.0008830790341741554, "train_loss": 3.520683235080122, "test_loss": 1.0076391656290402, "test_acc1": 76.14200265319825, "test_acc5": 93.5560021496582, "epoch": 68, "n_parameters": 99271400} +{"train_lr": 0.000879712552547612, "train_loss": 3.5248889468556683, "test_loss": 0.9913749940919153, "test_acc1": 76.3140025479126, "test_acc5": 93.50600228668213, "epoch": 69, "n_parameters": 99271400} +{"train_lr": 0.0008763049794670927, "train_loss": 3.5087903956476922, "test_loss": 0.9883346991105513, "test_acc1": 76.04200261230469, "test_acc5": 93.46600244628907, "epoch": 70, "n_parameters": 99271400} +{"train_lr": 0.0008728566886112912, "train_loss": 3.5018620135115204, "test_loss": 0.9951370656490326, "test_acc1": 76.19200242279052, "test_acc5": 93.57200264984131, "epoch": 71, "n_parameters": 99271400} +{"train_lr": 0.000869368058124286, "train_loss": 3.502788013453297, "test_loss": 1.0182385978599389, "test_acc1": 76.33000244262695, "test_acc5": 93.6000025704956, "epoch": 72, "n_parameters": 99271400} +{"train_lr": 0.0008658394705736102, "train_loss": 3.4857497869683303, "test_loss": 0.9805091084404425, "test_acc1": 76.24600261627197, "test_acc5": 93.6980025845337, "epoch": 73, "n_parameters": 99271400} +{"train_lr": 0.0008622713129087039, "train_loss": 3.487020381610933, "test_loss": 0.9811831882054155, "test_acc1": 76.58400254882812, "test_acc5": 93.71200258087158, "epoch": 74, "n_parameters": 99271400} +{"train_lr": 0.0008586639764182332, "train_loss": 3.486964405917054, "test_loss": 0.9765103510157629, "test_acc1": 76.29400248718262, "test_acc5": 93.71400248687745, "epoch": 75, "n_parameters": 99271400} +{"train_lr": 0.0008550178566873157, "train_loss": 3.4787367254519443, "test_loss": 0.9678264436396685, "test_acc1": 76.67800241577149, "test_acc5": 93.85400240356445, "epoch": 76, "n_parameters": 99271400} +{"train_lr": 0.0008513333535541272, "train_loss": 3.4837855918706655, "test_loss": 0.9819442187294816, "test_acc1": 76.55600235168457, "test_acc5": 93.81400241333007, "epoch": 77, "n_parameters": 99271400} +{"train_lr": 0.0008476108710658582, "train_loss": 3.4659596100318537, "test_loss": 0.9664279950613325, "test_acc1": 77.00400244415283, "test_acc5": 93.79400246032715, "epoch": 78, "n_parameters": 99271400} +{"train_lr": 0.00084385081743468, "train_loss": 3.4682151592678303, "test_loss": 0.9852892118647243, "test_acc1": 76.89200236602784, "test_acc5": 93.70000252838135, "epoch": 79, "n_parameters": 99271400} +{"train_lr": 0.0008400536049929256, "train_loss": 3.4534638073089883, "test_loss": 0.9659467622863523, "test_acc1": 76.74000266601563, "test_acc5": 93.87200252685547, "epoch": 80, "n_parameters": 99271400} +{"train_lr": 0.0008362196501476587, "train_loss": 3.4498631752175775, "test_loss": 0.9737348947109599, "test_acc1": 76.97600231628418, "test_acc5": 93.96600242736817, "epoch": 81, "n_parameters": 99271400} +{"train_lr": 0.0008323493733352106, "train_loss": 3.451979920184679, "test_loss": 0.9752513396017479, "test_acc1": 76.90000228240967, "test_acc5": 93.8440024343872, "epoch": 82, "n_parameters": 99271400} +{"train_lr": 0.0008284431989751196, "train_loss": 3.4480409064381528, "test_loss": 0.9691327672564622, "test_acc1": 76.86600250518799, "test_acc5": 93.86600246002197, "epoch": 83, "n_parameters": 99271400} +{"train_lr": 0.0008245015554233518, "train_loss": 3.444515623205857, "test_loss": 0.963019161626245, "test_acc1": 76.94000266784668, "test_acc5": 93.97800257385254, "epoch": 84, "n_parameters": 99271400} +{"train_lr": 0.0008205248749255873, "train_loss": 3.437841362578215, "test_loss": 0.9707559050258362, "test_acc1": 77.10600247436524, "test_acc5": 94.00000259429932, "epoch": 85, "n_parameters": 99271400} +{"train_lr": 0.0008165135935696841, "train_loss": 3.4323594623761213, "test_loss": 0.9485531622035936, "test_acc1": 77.0740025756836, "test_acc5": 94.07000259948731, "epoch": 86, "n_parameters": 99271400} +{"train_lr": 0.0008124681512377846, "train_loss": 3.4313599491338556, "test_loss": 0.9423995819507223, "test_acc1": 77.25400264984131, "test_acc5": 94.00200247558594, "epoch": 87, "n_parameters": 99271400} +{"train_lr": 0.0008083889915582182, "train_loss": 3.4273704332318142, "test_loss": 0.9657239608015075, "test_acc1": 77.12400267333985, "test_acc5": 94.01200254974366, "epoch": 88, "n_parameters": 99271400} +{"train_lr": 0.0008042765618568846, "train_loss": 3.4191744510504267, "test_loss": 0.9634026165938738, "test_acc1": 77.26400261169434, "test_acc5": 94.24400229278564, "epoch": 89, "n_parameters": 99271400} +{"train_lr": 0.0008001313131079711, "train_loss": 3.4253412088711293, "test_loss": 0.9582882943478498, "test_acc1": 77.24200256683349, "test_acc5": 94.20400242767334, "epoch": 90, "n_parameters": 99271400} +{"train_lr": 0.0007959536998847494, "train_loss": 3.4253274865097088, "test_loss": 0.947919201670271, "test_acc1": 77.39600255065918, "test_acc5": 94.10600248260498, "epoch": 91, "n_parameters": 99271400} +{"train_lr": 0.0007917441803096098, "train_loss": 3.414165423606797, "test_loss": 0.9469457147925189, "test_acc1": 77.40200256744384, "test_acc5": 94.20000235046386, "epoch": 92, "n_parameters": 99271400} +{"train_lr": 0.0007875032160038205, "train_loss": 3.4074733303629046, "test_loss": 0.9418515287565462, "test_acc1": 77.32200240844726, "test_acc5": 94.14000263458252, "epoch": 93, "n_parameters": 99271400} +{"train_lr": 0.0007832312720368117, "train_loss": 3.3954812273752393, "test_loss": 0.9346688303983572, "test_acc1": 77.83800240844727, "test_acc5": 94.22600243896484, "epoch": 94, "n_parameters": 99271400} +{"train_lr": 0.0007789288168754665, "train_loss": 3.4032064926662415, "test_loss": 0.9347712949595668, "test_acc1": 77.77400257385254, "test_acc5": 94.23400271942138, "epoch": 95, "n_parameters": 99271400} +{"train_lr": 0.0007745963223324492, "train_loss": 3.395021085199311, "test_loss": 0.9386391998691992, "test_acc1": 77.49200240386963, "test_acc5": 94.27400248962402, "epoch": 96, "n_parameters": 99271400} +{"train_lr": 0.0007702342635146132, "train_loss": 3.3912813276600398, "test_loss": 0.9317723311709635, "test_acc1": 77.55600235626221, "test_acc5": 94.27400242584228, "epoch": 97, "n_parameters": 99271400} +{"train_lr": 0.0007658431187708385, "train_loss": 3.3860822025058175, "test_loss": 0.9221882939790235, "test_acc1": 77.57200243774415, "test_acc5": 94.35200237945557, "epoch": 98, "n_parameters": 99271400} +{"train_lr": 0.0007614233696396923, "train_loss": 3.386400929195799, "test_loss": 0.9350104651442079, "test_acc1": 77.77200256256104, "test_acc5": 94.29400254364013, "epoch": 99, "n_parameters": 99271400} +{"train_lr": 0.0007569755007964469, "train_loss": 3.3811030720802044, "test_loss": 0.9592310665457537, "test_acc1": 77.66600238433838, "test_acc5": 94.16000232208252, "epoch": 100, "n_parameters": 99271400} +{"train_lr": 0.0007525000000000169, "train_loss": 3.375726670360298, "test_loss": 0.9280743787460255, "test_acc1": 77.84600242767334, "test_acc5": 94.38400247009277, "epoch": 101, "n_parameters": 99271400} +{"train_lr": 0.0007479973580395145, "train_loss": 3.36703289965455, "test_loss": 0.9228870476962943, "test_acc1": 77.92800257049561, "test_acc5": 94.39400238128663, "epoch": 102, "n_parameters": 99271400} +{"train_lr": 0.0007434680686803327, "train_loss": 3.3734677791190473, "test_loss": 0.9295349647149895, "test_acc1": 77.90000260040283, "test_acc5": 94.26800240875244, "epoch": 103, "n_parameters": 99271400} +{"train_lr": 0.0007389126286101685, "train_loss": 3.36695896863318, "test_loss": 0.9122778469640197, "test_acc1": 77.98400236297607, "test_acc5": 94.43400252624512, "epoch": 104, "n_parameters": 99271400} +{"train_lr": 0.0007343315373843357, "train_loss": 3.3597915111828764, "test_loss": 0.932719606793288, "test_acc1": 77.96200273712158, "test_acc5": 94.43800254974366, "epoch": 105, "n_parameters": 99271400} +{"train_lr": 0.0007297252973710595, "train_loss": 3.3667878576939243, "test_loss": 0.9247379218312827, "test_acc1": 78.11400244506837, "test_acc5": 94.4560026901245, "epoch": 106, "n_parameters": 99271400} +{"train_lr": 0.0007250944136965275, "train_loss": 3.3569862497724787, "test_loss": 0.9094826978715983, "test_acc1": 78.12200237609864, "test_acc5": 94.46400254760742, "epoch": 107, "n_parameters": 99271400} +{"train_lr": 0.0007204393941893078, "train_loss": 3.3486828784600533, "test_loss": 0.9197210915612452, "test_acc1": 78.19200239440919, "test_acc5": 94.47200254302979, "epoch": 108, "n_parameters": 99271400} +{"train_lr": 0.0007157607493246968, "train_loss": 3.346287449713138, "test_loss": 0.8916368049879869, "test_acc1": 78.51400256774902, "test_acc5": 94.62400256500244, "epoch": 109, "n_parameters": 99271400} +{"train_lr": 0.0007110589921689151, "train_loss": 3.3401861682617597, "test_loss": 0.9278077138870051, "test_acc1": 78.19400238250732, "test_acc5": 94.47200255523681, "epoch": 110, "n_parameters": 99271400} +{"train_lr": 0.0007063346383225066, "train_loss": 3.3356891866925236, "test_loss": 0.9114936571003813, "test_acc1": 78.28800235565186, "test_acc5": 94.6640024673462, "epoch": 111, "n_parameters": 99271400} +{"train_lr": 0.0007015882058641976, "train_loss": 3.3398004527286376, "test_loss": 0.9047955563574126, "test_acc1": 78.42000221191407, "test_acc5": 94.6920024899292, "epoch": 112, "n_parameters": 99271400} +{"train_lr": 0.0006968202152938009, "train_loss": 3.3327731138391554, "test_loss": 0.9120016461520484, "test_acc1": 78.30400246246337, "test_acc5": 94.55000243896484, "epoch": 113, "n_parameters": 99271400} +{"train_lr": 0.0006920311894751397, "train_loss": 3.329577067499157, "test_loss": 0.9043896111349264, "test_acc1": 78.38800223724365, "test_acc5": 94.59800255004883, "epoch": 114, "n_parameters": 99271400} +{"train_lr": 0.0006872216535789267, "train_loss": 3.3211327630171863, "test_loss": 0.9053816563929572, "test_acc1": 78.55600245880127, "test_acc5": 94.72800248168946, "epoch": 115, "n_parameters": 99271400} +{"train_lr": 0.0006823921350249367, "train_loss": 3.3208447766008615, "test_loss": 0.8921979864438375, "test_acc1": 78.72000241699219, "test_acc5": 94.7640024230957, "epoch": 116, "n_parameters": 99271400} +{"train_lr": 0.0006775431634242846, "train_loss": 3.3160984293757965, "test_loss": 0.8913894428899793, "test_acc1": 78.54400241394043, "test_acc5": 94.70800252960206, "epoch": 117, "n_parameters": 99271400} +{"train_lr": 0.0006726752705214028, "train_loss": 3.314486163137533, "test_loss": 0.8965705966181827, "test_acc1": 78.55000256011962, "test_acc5": 94.8620026248169, "epoch": 118, "n_parameters": 99271400} +{"train_lr": 0.0006677889901356115, "train_loss": 3.312589647291566, "test_loss": 0.887886566194621, "test_acc1": 78.4340023300171, "test_acc5": 94.85000262908936, "epoch": 119, "n_parameters": 99271400} +{"train_lr": 0.0006628848581025351, "train_loss": 3.2989053236042185, "test_loss": 0.8997720733962276, "test_acc1": 78.5580025592041, "test_acc5": 94.68600245849609, "epoch": 120, "n_parameters": 99271400} +{"train_lr": 0.0006579634122155856, "train_loss": 3.2982570169021566, "test_loss": 0.8798373484927596, "test_acc1": 78.95600259429932, "test_acc5": 94.87200257904053, "epoch": 121, "n_parameters": 99271400} +{"train_lr": 0.0006530251921667783, "train_loss": 3.2970577422782577, "test_loss": 0.8796559002137545, "test_acc1": 78.8520023449707, "test_acc5": 94.81600238708496, "epoch": 122, "n_parameters": 99271400} +{"train_lr": 0.0006480707394875038, "train_loss": 3.299857007370864, "test_loss": 0.9106048458453381, "test_acc1": 78.84600244659424, "test_acc5": 94.81800274627686, "epoch": 123, "n_parameters": 99271400} +{"train_lr": 0.0006431005974894059, "train_loss": 3.2895880037312693, "test_loss": 0.8864503895694559, "test_acc1": 78.74200264709472, "test_acc5": 94.83800258544922, "epoch": 124, "n_parameters": 99271400} +{"train_lr": 0.000638115311204536, "train_loss": 3.279961059895827, "test_loss": 0.8895131323599454, "test_acc1": 78.8360025869751, "test_acc5": 94.70800284362792, "epoch": 125, "n_parameters": 99271400} +{"train_lr": 0.0006331154273257683, "train_loss": 3.2767946062971363, "test_loss": 0.8854200650345195, "test_acc1": 79.03200246612549, "test_acc5": 94.82600245300293, "epoch": 126, "n_parameters": 99271400} +{"train_lr": 0.0006281014941466044, "train_loss": 3.2731807494192102, "test_loss": 0.8787809807920095, "test_acc1": 79.0740024243164, "test_acc5": 94.88600262268066, "epoch": 127, "n_parameters": 99271400} +{"train_lr": 0.000623074061501409, "train_loss": 3.2743773804270297, "test_loss": 0.8690850665849267, "test_acc1": 79.208002237854, "test_acc5": 94.91600275939942, "epoch": 128, "n_parameters": 99271400} +{"train_lr": 0.0006180336807047859, "train_loss": 3.2713426370367253, "test_loss": 0.8760252251769557, "test_acc1": 79.14600270263672, "test_acc5": 94.8420023034668, "epoch": 129, "n_parameters": 99271400} +{"train_lr": 0.0006129809044912789, "train_loss": 3.2725402349881607, "test_loss": 0.8816871906094479, "test_acc1": 79.19400257843017, "test_acc5": 94.92600277191163, "epoch": 130, "n_parameters": 99271400} +{"train_lr": 0.0006079162869547817, "train_loss": 3.2572295654901593, "test_loss": 0.8689060087005297, "test_acc1": 79.13000258728027, "test_acc5": 95.0260025125122, "epoch": 131, "n_parameters": 99271400} +{"train_lr": 0.0006028403834876773, "train_loss": 3.257451623880701, "test_loss": 0.8620653426782652, "test_acc1": 79.26600255493165, "test_acc5": 95.14000244049072, "epoch": 132, "n_parameters": 99271400} +{"train_lr": 0.0005977537507199184, "train_loss": 3.2541729572484437, "test_loss": 0.8602284603949749, "test_acc1": 79.29600240203857, "test_acc5": 95.01400249847413, "epoch": 133, "n_parameters": 99271400} +{"train_lr": 0.0005926569464581887, "train_loss": 3.2500354336153308, "test_loss": 0.879093687191154, "test_acc1": 79.13000267700195, "test_acc5": 94.89400271362305, "epoch": 134, "n_parameters": 99271400} +{"train_lr": 0.0005875505296244566, "train_loss": 3.246383072684804, "test_loss": 0.8669079660691998, "test_acc1": 79.51200244415283, "test_acc5": 95.0660023361206, "epoch": 135, "n_parameters": 99271400} +{"train_lr": 0.0005824350601949218, "train_loss": 3.241138923201534, "test_loss": 0.8874149500872149, "test_acc1": 79.11400262878418, "test_acc5": 94.92400254455566, "epoch": 136, "n_parameters": 99271400} +{"train_lr": 0.0005773110991383895, "train_loss": 3.2431734504697802, "test_loss": 0.8632078263344187, "test_acc1": 79.2900024307251, "test_acc5": 95.08200247253419, "epoch": 137, "n_parameters": 99271400} +{"train_lr": 0.0005721792083549796, "train_loss": 3.234832271445188, "test_loss": 0.8597359052210143, "test_acc1": 79.5120023046875, "test_acc5": 95.12800225891114, "epoch": 138, "n_parameters": 99271400} +{"train_lr": 0.0005670399506143469, "train_loss": 3.224877430845222, "test_loss": 0.8558567379685965, "test_acc1": 79.23800238891602, "test_acc5": 95.12600254394532, "epoch": 139, "n_parameters": 99271400} +{"train_lr": 0.0005618938894939768, "train_loss": 3.2265664453772334, "test_loss": 0.8572278663967595, "test_acc1": 79.49800217071534, "test_acc5": 95.15000258666993, "epoch": 140, "n_parameters": 99271400} +{"train_lr": 0.0005567415893175016, "train_loss": 3.2264935454304555, "test_loss": 0.8781256805540938, "test_acc1": 79.44600271820069, "test_acc5": 95.06600259796143, "epoch": 141, "n_parameters": 99271400} +{"train_lr": 0.0005515836150926655, "train_loss": 3.220695082208426, "test_loss": 0.855024279518561, "test_acc1": 79.6560023413086, "test_acc5": 95.1740028717041, "epoch": 142, "n_parameters": 99271400} +{"train_lr": 0.0005464205324494959, "train_loss": 3.2113837567712666, "test_loss": 0.8538100269030441, "test_acc1": 79.61400266540528, "test_acc5": 95.18000250579834, "epoch": 143, "n_parameters": 99271400} +{"train_lr": 0.0005412529075781865, "train_loss": 3.1985563130425416, "test_loss": 0.8488999027194399, "test_acc1": 79.76800257415772, "test_acc5": 95.19600236389161, "epoch": 144, "n_parameters": 99271400} +{"train_lr": 0.0005360813071670112, "train_loss": 3.1973627161541334, "test_loss": 0.8349722060516025, "test_acc1": 79.8280025302124, "test_acc5": 95.27000244018555, "epoch": 145, "n_parameters": 99271400} +{"train_lr": 0.0005309062983402611, "train_loss": 3.200951902247924, "test_loss": 0.8583391750174941, "test_acc1": 79.74000260772705, "test_acc5": 95.16800253936768, "epoch": 146, "n_parameters": 99271400} +{"train_lr": 0.0005257284485959572, "train_loss": 3.1978975622821673, "test_loss": 0.8419773133866715, "test_acc1": 79.86200268890381, "test_acc5": 95.27200253662109, "epoch": 147, "n_parameters": 99271400} +{"train_lr": 0.0005205483257436661, "train_loss": 3.1971027027907892, "test_loss": 0.8575802819069588, "test_acc1": 79.80200248504639, "test_acc5": 95.2760025918579, "epoch": 148, "n_parameters": 99271400} +{"train_lr": 0.0005153664978422618, "train_loss": 3.1876675315516936, "test_loss": 0.8323414986106482, "test_acc1": 79.85400258789062, "test_acc5": 95.35800253967285, "epoch": 149, "n_parameters": 99271400} +{"train_lr": 0.0005101835331375457, "train_loss": 3.1877591951335553, "test_loss": 0.8453478947507612, "test_acc1": 79.82600265411376, "test_acc5": 95.17200251037598, "epoch": 150, "n_parameters": 99271400} +{"train_lr": 0.0005049999999999881, "train_loss": 3.184924720443315, "test_loss": 0.8475001423873685, "test_acc1": 79.57600227783203, "test_acc5": 95.18400255371094, "epoch": 151, "n_parameters": 99271400} +{"train_lr": 0.0004998164668624689, "train_loss": 3.1755091550348284, "test_loss": 0.8265916014259512, "test_acc1": 79.94800250244141, "test_acc5": 95.37200247650146, "epoch": 152, "n_parameters": 99271400} +{"train_lr": 0.0004946335021577291, "train_loss": 3.1626546337521617, "test_loss": 0.8315100924986781, "test_acc1": 79.93600272735596, "test_acc5": 95.26600268432617, "epoch": 153, "n_parameters": 99271400} +{"train_lr": 0.0004894516742563275, "train_loss": 3.1637868752225127, "test_loss": 0.8477421174898292, "test_acc1": 79.93800243103027, "test_acc5": 95.3800024508667, "epoch": 154, "n_parameters": 99271400} +{"train_lr": 0.0004842715514040588, "train_loss": 3.155313622453611, "test_loss": 0.8445489090500455, "test_acc1": 80.0680027972412, "test_acc5": 95.43400264587402, "epoch": 155, "n_parameters": 99271400} +{"train_lr": 0.00047909370165973703, "train_loss": 3.1591865063475955, "test_loss": 0.8293733951268774, "test_acc1": 80.2020024597168, "test_acc5": 95.41000240570068, "epoch": 156, "n_parameters": 99271400} +{"train_lr": 0.00047391869283298395, "train_loss": 3.149040712596034, "test_loss": 0.8394282910634171, "test_acc1": 80.11000246520996, "test_acc5": 95.36400237091064, "epoch": 157, "n_parameters": 99271400} +{"train_lr": 0.0004687470924218306, "train_loss": 3.1503020286988868, "test_loss": 0.8068670025377562, "test_acc1": 80.42400252502442, "test_acc5": 95.54200244781494, "epoch": 158, "n_parameters": 99271400} +{"train_lr": 0.0004635794675504931, "train_loss": 3.143126291598824, "test_loss": 0.8171814640588833, "test_acc1": 80.16800251434326, "test_acc5": 95.42400246795654, "epoch": 159, "n_parameters": 99271400} +{"train_lr": 0.0004584163849073357, "train_loss": 3.1393122203963744, "test_loss": 0.8446522919517575, "test_acc1": 80.26400247894287, "test_acc5": 95.38000232452393, "epoch": 160, "n_parameters": 99271400} +{"train_lr": 0.0004532584106825094, "train_loss": 3.135153491803401, "test_loss": 0.8182437241528974, "test_acc1": 80.28600246612548, "test_acc5": 95.41000254486084, "epoch": 161, "n_parameters": 99271400} +{"train_lr": 0.0004481061105060409, "train_loss": 3.119079658548704, "test_loss": 0.8100022069658294, "test_acc1": 80.33600251464844, "test_acc5": 95.4980024685669, "epoch": 162, "n_parameters": 99271400} +{"train_lr": 0.00044296004938566933, "train_loss": 3.1270345277923473, "test_loss": 0.8169816069756494, "test_acc1": 80.44400267517089, "test_acc5": 95.49200249969482, "epoch": 163, "n_parameters": 99271400} +{"train_lr": 0.0004378207916450146, "train_loss": 3.126252375727744, "test_loss": 0.8109204052298358, "test_acc1": 80.28200274871826, "test_acc5": 95.56200256774902, "epoch": 164, "n_parameters": 99271400} +{"train_lr": 0.00043268890086160794, "train_loss": 3.1178732698293423, "test_loss": 0.8150020899871985, "test_acc1": 80.48800256256104, "test_acc5": 95.65400256256103, "epoch": 165, "n_parameters": 99271400} +{"train_lr": 0.00042756493980507503, "train_loss": 3.1202705962409216, "test_loss": 0.8010863534203081, "test_acc1": 80.61000246765137, "test_acc5": 95.53600262390137, "epoch": 166, "n_parameters": 99271400} +{"train_lr": 0.0004224494703755201, "train_loss": 3.1036258256144755, "test_loss": 0.8013340586965735, "test_acc1": 80.58200260253906, "test_acc5": 95.6280025604248, "epoch": 167, "n_parameters": 99271400} +{"train_lr": 0.00041734305354179923, "train_loss": 3.099563682322308, "test_loss": 0.8004956875335086, "test_acc1": 80.61800261047364, "test_acc5": 95.59800269317627, "epoch": 168, "n_parameters": 99271400} +{"train_lr": 0.0004122462492800569, "train_loss": 3.1026365049451377, "test_loss": 0.8041806342926893, "test_acc1": 80.74600234924317, "test_acc5": 95.61600249694824, "epoch": 169, "n_parameters": 99271400} +{"train_lr": 0.0004071596165123325, "train_loss": 3.0923177669945954, "test_loss": 0.8204350280716564, "test_acc1": 80.86400234619141, "test_acc5": 95.69000251922607, "epoch": 170, "n_parameters": 99271400} +{"train_lr": 0.0004020837130452182, "train_loss": 3.0986315241868168, "test_loss": 0.8019578182561831, "test_acc1": 80.71600251098633, "test_acc5": 95.68400252807618, "epoch": 171, "n_parameters": 99271400} +{"train_lr": 0.00039701909550871056, "train_loss": 3.0780335699887775, "test_loss": 0.7973073857525984, "test_acc1": 80.86400209716797, "test_acc5": 95.72000253601074, "epoch": 172, "n_parameters": 99271400} +{"train_lr": 0.0003919663192952229, "train_loss": 3.084737626220778, "test_loss": 0.7954683826502525, "test_acc1": 80.9940024621582, "test_acc5": 95.74000262573242, "epoch": 173, "n_parameters": 99271400} +{"train_lr": 0.00038692593849859734, "train_loss": 3.071990337743938, "test_loss": 0.7932253023891738, "test_acc1": 80.84800253753662, "test_acc5": 95.68200277496338, "epoch": 174, "n_parameters": 99271400} +{"train_lr": 0.0003818985058534034, "train_loss": 3.071581064951982, "test_loss": 0.7998114744144859, "test_acc1": 80.92200235839844, "test_acc5": 95.7280025881958, "epoch": 175, "n_parameters": 99271400} +{"train_lr": 0.0003768845726742596, "train_loss": 3.069583634487826, "test_loss": 0.8046391675192298, "test_acc1": 80.81800255065917, "test_acc5": 95.71400251190185, "epoch": 176, "n_parameters": 99271400} +{"train_lr": 0.0003718846887954506, "train_loss": 3.058677039701018, "test_loss": 0.8048820541889379, "test_acc1": 80.80000261901856, "test_acc5": 95.782002527771, "epoch": 177, "n_parameters": 99271400} +{"train_lr": 0.00036689940251057154, "train_loss": 3.058001910539554, "test_loss": 0.803112155334516, "test_acc1": 80.90400285827637, "test_acc5": 95.73600269927978, "epoch": 178, "n_parameters": 99271400} +{"train_lr": 0.0003619292605124837, "train_loss": 3.053830564438963, "test_loss": 0.7948815767286401, "test_acc1": 80.83800251098633, "test_acc5": 95.78800259643555, "epoch": 179, "n_parameters": 99271400} +{"train_lr": 0.0003569748078332423, "train_loss": 3.044768732312105, "test_loss": 0.7913041901633595, "test_acc1": 80.88600245971679, "test_acc5": 95.64600232543945, "epoch": 180, "n_parameters": 99271400} +{"train_lr": 0.00035203658778439235, "train_loss": 3.0445470031645656, "test_loss": 0.7909058567813851, "test_acc1": 81.07200241607666, "test_acc5": 95.74800269927978, "epoch": 181, "n_parameters": 99271400} +{"train_lr": 0.0003471151418974503, "train_loss": 3.0383731683166766, "test_loss": 0.7944971447189649, "test_acc1": 81.05000246398926, "test_acc5": 95.7300022668457, "epoch": 182, "n_parameters": 99271400} +{"train_lr": 0.0003422110098644085, "train_loss": 3.029496096735664, "test_loss": 0.7928611940958283, "test_acc1": 81.11000263122558, "test_acc5": 95.74400248260498, "epoch": 183, "n_parameters": 99271400} +{"train_lr": 0.0003373247294785742, "train_loss": 3.0293759813101935, "test_loss": 0.7881702081949422, "test_acc1": 81.3740022744751, "test_acc5": 95.86600233184815, "epoch": 184, "n_parameters": 99271400} +{"train_lr": 0.0003324568365756944, "train_loss": 3.022765228550116, "test_loss": 0.7909476519985632, "test_acc1": 81.22800264221192, "test_acc5": 95.81800240356445, "epoch": 185, "n_parameters": 99271400} +{"train_lr": 0.00032760786497508304, "train_loss": 3.018003664797635, "test_loss": 0.7866705001303644, "test_acc1": 81.16000251708985, "test_acc5": 95.8740026800537, "epoch": 186, "n_parameters": 99271400} +{"train_lr": 0.00032277834642108216, "train_loss": 3.015503533452535, "test_loss": 0.7849211973900144, "test_acc1": 81.21400260345459, "test_acc5": 95.82000242248535, "epoch": 187, "n_parameters": 99271400} +{"train_lr": 0.00031796881052486697, "train_loss": 3.0048650701245148, "test_loss": 0.7810571933108749, "test_acc1": 81.29000228027344, "test_acc5": 95.83600238250733, "epoch": 188, "n_parameters": 99271400} +{"train_lr": 0.0003131797847062025, "train_loss": 2.9960593067580086, "test_loss": 0.7804943362646031, "test_acc1": 81.43000267700195, "test_acc5": 95.85400238830566, "epoch": 189, "n_parameters": 99271400} +{"train_lr": 0.0003084117941357799, "train_loss": 3.0020852534414577, "test_loss": 0.78223509217302, "test_acc1": 81.4060025970459, "test_acc5": 95.89200250823974, "epoch": 190, "n_parameters": 99271400} +{"train_lr": 0.00030366536167747524, "train_loss": 2.9929460524130973, "test_loss": 0.7779248372623415, "test_acc1": 81.51600265747071, "test_acc5": 95.90200252960206, "epoch": 191, "n_parameters": 99271400} +{"train_lr": 0.00029894100783110664, "train_loss": 2.987491092438416, "test_loss": 0.7655595375055616, "test_acc1": 81.33600244506836, "test_acc5": 95.87600262817382, "epoch": 192, "n_parameters": 99271400} +{"train_lr": 0.0002942392506752879, "train_loss": 2.9869408657987244, "test_loss": 0.7895559254243518, "test_acc1": 81.67000269409179, "test_acc5": 95.9480026272583, "epoch": 193, "n_parameters": 99271400} +{"train_lr": 0.0002895606058107011, "train_loss": 2.9672083319615212, "test_loss": 0.7665533013641834, "test_acc1": 81.68800272064209, "test_acc5": 95.98000246948243, "epoch": 194, "n_parameters": 99271400} +{"train_lr": 0.0002849055863034561, "train_loss": 2.970462287811162, "test_loss": 0.7744876040202199, "test_acc1": 81.4520024420166, "test_acc5": 95.98600238861084, "epoch": 195, "n_parameters": 99271400} +{"train_lr": 0.0002802747026289244, "train_loss": 2.968593780585616, "test_loss": 0.7648068895055489, "test_acc1": 81.61800259887696, "test_acc5": 96.02200263122559, "epoch": 196, "n_parameters": 99271400} +{"train_lr": 0.00027566846261567343, "train_loss": 2.958520870057227, "test_loss": 0.7734694670547139, "test_acc1": 81.6460028024292, "test_acc5": 95.98000250457764, "epoch": 197, "n_parameters": 99271400} +{"train_lr": 0.00027108737138981483, "train_loss": 2.9567688340715748, "test_loss": 0.7739652150282355, "test_acc1": 81.60200266845703, "test_acc5": 96.04000247558594, "epoch": 198, "n_parameters": 99271400} +{"train_lr": 0.00026653193131964784, "train_loss": 2.9485208526384725, "test_loss": 0.764427752431595, "test_acc1": 81.75000250396728, "test_acc5": 96.03400251983642, "epoch": 199, "n_parameters": 99271400} +{"train_lr": 0.00026200264196050673, "train_loss": 2.9438868893755616, "test_loss": 0.7795744741504843, "test_acc1": 81.71600254364013, "test_acc5": 95.98200269012452, "epoch": 200, "n_parameters": 99271400} +{"train_lr": 0.00025750000000000143, "train_loss": 2.9406927489786505, "test_loss": 0.7626519459440853, "test_acc1": 81.87600234344482, "test_acc5": 96.0360025881958, "epoch": 201, "n_parameters": 99271400} +{"train_lr": 0.0002530244992035622, "train_loss": 2.935029353931558, "test_loss": 0.7521308939339537, "test_acc1": 81.71800256286622, "test_acc5": 96.05800261688232, "epoch": 202, "n_parameters": 99271400} +{"train_lr": 0.00024857663036030185, "train_loss": 2.9314604638506183, "test_loss": 0.7519528372495463, "test_acc1": 81.88400247131348, "test_acc5": 96.10400261322022, "epoch": 203, "n_parameters": 99271400} +{"train_lr": 0.00024415688122914167, "train_loss": 2.931157411574174, "test_loss": 0.7717919645435882, "test_acc1": 81.8740024053955, "test_acc5": 96.08200230773926, "epoch": 204, "n_parameters": 99271400} +{"train_lr": 0.00023976573648539732, "train_loss": 2.9164642099377445, "test_loss": 0.749674238716111, "test_acc1": 81.90200245758056, "test_acc5": 96.14200242584228, "epoch": 205, "n_parameters": 99271400} +{"train_lr": 0.0002354036776675575, "train_loss": 2.914511166709504, "test_loss": 0.7498101464500933, "test_acc1": 82.06400248474121, "test_acc5": 96.1820024081421, "epoch": 206, "n_parameters": 99271400} +{"train_lr": 0.00023107118312454297, "train_loss": 2.9090227524368024, "test_loss": 0.7600121871765816, "test_acc1": 82.01200242797852, "test_acc5": 96.12400256530762, "epoch": 207, "n_parameters": 99271400} +{"train_lr": 0.00022676872796319747, "train_loss": 2.8996452040952456, "test_loss": 0.7564670180506778, "test_acc1": 82.09400262573241, "test_acc5": 96.08200280059815, "epoch": 208, "n_parameters": 99271400} +{"train_lr": 0.00022249678399621184, "train_loss": 2.8967281523511277, "test_loss": 0.7494988005721208, "test_acc1": 81.93400266784668, "test_acc5": 96.20400256103515, "epoch": 209, "n_parameters": 99271400} +{"train_lr": 0.00021825581969037202, "train_loss": 2.897932225625387, "test_loss": 0.7532735407126673, "test_acc1": 81.94600253845215, "test_acc5": 96.1260025628662, "epoch": 210, "n_parameters": 99271400} +{"train_lr": 0.0002140463001152288, "train_loss": 2.8895052278832756, "test_loss": 0.7565712593495846, "test_acc1": 82.12000257598876, "test_acc5": 96.14000261505127, "epoch": 211, "n_parameters": 99271400} +{"train_lr": 0.00020986868689201908, "train_loss": 2.880295431585335, "test_loss": 0.7544918545719349, "test_acc1": 82.258002578125, "test_acc5": 96.25200266296386, "epoch": 212, "n_parameters": 99271400} +{"train_lr": 0.00020572343814312388, "train_loss": 2.8792147474061194, "test_loss": 0.7568490175586758, "test_acc1": 82.10000259674072, "test_acc5": 96.14200271972656, "epoch": 213, "n_parameters": 99271400} +{"train_lr": 0.00020161100844177222, "train_loss": 2.8719953007454113, "test_loss": 0.7469833764162931, "test_acc1": 82.26600251098633, "test_acc5": 96.14400221435547, "epoch": 214, "n_parameters": 99271400} +{"train_lr": 0.0001975318487622333, "train_loss": 2.8707505464553833, "test_loss": 0.7467430673652526, "test_acc1": 82.26400250030518, "test_acc5": 96.2180028262329, "epoch": 215, "n_parameters": 99271400} +{"train_lr": 0.0001934864064303279, "train_loss": 2.8627360643719215, "test_loss": 0.7539360864144383, "test_acc1": 82.23600243103027, "test_acc5": 96.23400255371094, "epoch": 216, "n_parameters": 99271400} +{"train_lr": 0.00018947512507439562, "train_loss": 2.8591535741286123, "test_loss": 0.749408568904707, "test_acc1": 82.26600232818603, "test_acc5": 96.18000242858886, "epoch": 217, "n_parameters": 99271400} +{"train_lr": 0.00018549844457663907, "train_loss": 2.8516440994495587, "test_loss": 0.7403052152896469, "test_acc1": 82.37400255645753, "test_acc5": 96.25200267700195, "epoch": 218, "n_parameters": 99271400} +{"train_lr": 0.00018155680102489234, "train_loss": 2.8477471422949, "test_loss": 0.7545429244073052, "test_acc1": 82.34000279937744, "test_acc5": 96.23000254119873, "epoch": 219, "n_parameters": 99271400} +{"train_lr": 0.00017765062666479713, "train_loss": 2.8425257829524915, "test_loss": 0.7411237877765389, "test_acc1": 82.41600259918214, "test_acc5": 96.29600250305175, "epoch": 220, "n_parameters": 99271400} +{"train_lr": 0.0001737803498523614, "train_loss": 2.8300798074852267, "test_loss": 0.7389087764489831, "test_acc1": 82.52200260437012, "test_acc5": 96.29400261138916, "epoch": 221, "n_parameters": 99271400} +{"train_lr": 0.0001699463950070852, "train_loss": 2.8283597054265197, "test_loss": 0.7288663963589704, "test_acc1": 82.46000256500244, "test_acc5": 96.2720023199463, "epoch": 222, "n_parameters": 99271400} +{"train_lr": 0.00016614918256530037, "train_loss": 2.8225090224727643, "test_loss": 0.729608910045389, "test_acc1": 82.6940026473999, "test_acc5": 96.26200252593995, "epoch": 223, "n_parameters": 99271400} +{"train_lr": 0.0001623891289341519, "train_loss": 2.816307556536272, "test_loss": 0.7328693265038909, "test_acc1": 82.54400256744385, "test_acc5": 96.33600267089844, "epoch": 224, "n_parameters": 99271400} +{"train_lr": 0.00015866664644587948, "train_loss": 2.808125628591727, "test_loss": 0.7360824552562201, "test_acc1": 82.46400236480713, "test_acc5": 96.2680025805664, "epoch": 225, "n_parameters": 99271400} +{"train_lr": 0.00015498214331266302, "train_loss": 2.814404423633735, "test_loss": 0.7408956258247296, "test_acc1": 82.49800232727051, "test_acc5": 96.31800241333008, "epoch": 226, "n_parameters": 99271400} +{"train_lr": 0.00015133602358175863, "train_loss": 2.8068169742036493, "test_loss": 0.7282943740825761, "test_acc1": 82.82800231079102, "test_acc5": 96.34600248352051, "epoch": 227, "n_parameters": 99271400} +{"train_lr": 0.00014772868709131358, "train_loss": 2.7986671737224746, "test_loss": 0.7377675428534999, "test_acc1": 82.59400258087159, "test_acc5": 96.26800242584228, "epoch": 228, "n_parameters": 99271400} +{"train_lr": 0.00014416052942639815, "train_loss": 2.793186645987604, "test_loss": 0.7292281094599854, "test_acc1": 82.7120024923706, "test_acc5": 96.30400231658936, "epoch": 229, "n_parameters": 99271400} +{"train_lr": 0.0001406319418757283, "train_loss": 2.780821022679575, "test_loss": 0.7390960800941243, "test_acc1": 82.75000247772216, "test_acc5": 96.32600247558594, "epoch": 230, "n_parameters": 99271400} +{"train_lr": 0.00013714331138869076, "train_loss": 2.781518850907338, "test_loss": 0.726689103765018, "test_acc1": 82.62600255523682, "test_acc5": 96.32200253692626, "epoch": 231, "n_parameters": 99271400} +{"train_lr": 0.00013369502053292505, "train_loss": 2.7744003405912125, "test_loss": 0.7310507951699423, "test_acc1": 82.56400221801758, "test_acc5": 96.34000244598388, "epoch": 232, "n_parameters": 99271400} +{"train_lr": 0.00013028744745238475, "train_loss": 2.775931980183942, "test_loss": 0.7336196261599208, "test_acc1": 82.72600248779297, "test_acc5": 96.33600242950439, "epoch": 233, "n_parameters": 99271400} +{"train_lr": 0.0001269209658258495, "train_loss": 2.7673058481358415, "test_loss": 0.7296681365167553, "test_acc1": 82.83800263153076, "test_acc5": 96.36600245666504, "epoch": 234, "n_parameters": 99271400} +{"train_lr": 0.0001235959448259827, "train_loss": 2.7539965031530076, "test_loss": 0.7227933428842913, "test_acc1": 82.98600241485596, "test_acc5": 96.41800274902344, "epoch": 235, "n_parameters": 99271400} +{"train_lr": 0.00012031274907879949, "train_loss": 2.75377188167936, "test_loss": 0.7234070826547615, "test_acc1": 82.86600268646241, "test_acc5": 96.44600282806397, "epoch": 236, "n_parameters": 99271400} +{"train_lr": 0.00011707173862371172, "train_loss": 2.746043906044617, "test_loss": 0.7282488879493692, "test_acc1": 82.91000252044678, "test_acc5": 96.37400264312744, "epoch": 237, "n_parameters": 99271400} +{"train_lr": 0.00011387326887403272, "train_loss": 2.7489823607994404, "test_loss": 0.7309577629308809, "test_acc1": 82.8540024432373, "test_acc5": 96.35800268951417, "epoch": 238, "n_parameters": 99271400} +{"train_lr": 0.00011071769057802179, "train_loss": 2.741374639965457, "test_loss": 0.7264882930074678, "test_acc1": 82.89400251617431, "test_acc5": 96.35400237701415, "epoch": 239, "n_parameters": 99271400} +{"train_lr": 0.00010760534978039747, "train_loss": 2.736768375936267, "test_loss": 0.7308897373238297, "test_acc1": 82.82800238708496, "test_acc5": 96.38400242858887, "epoch": 240, "n_parameters": 99271400} +{"train_lr": 0.00010453658778440302, "train_loss": 2.725058658434142, "test_loss": 0.723411163823171, "test_acc1": 83.04600265106201, "test_acc5": 96.39800273223877, "epoch": 241, "n_parameters": 99271400} +{"train_lr": 0.0001015117411143637, "train_loss": 2.7217504374152846, "test_loss": 0.7282955949618057, "test_acc1": 82.94200242645263, "test_acc5": 96.38200242675781, "epoch": 242, "n_parameters": 99271400} +{"train_lr": 9.853114147881454e-05, "train_loss": 2.7105801395184512, "test_loss": 0.7212055547332222, "test_acc1": 83.13200240356446, "test_acc5": 96.38000259185792, "epoch": 243, "n_parameters": 99271400} +{"train_lr": 9.559511573409267e-05, "train_loss": 2.713465583696068, "test_loss": 0.7217346106966337, "test_acc1": 83.2720023840332, "test_acc5": 96.43800240020752, "epoch": 244, "n_parameters": 99271400} +{"train_lr": 9.270398584849976e-05, "train_loss": 2.7013497119970458, "test_loss": 0.72972671687603, "test_acc1": 83.04400236358643, "test_acc5": 96.35600259887696, "epoch": 245, "n_parameters": 99271400} +{"train_lr": 8.985806886701763e-05, "train_loss": 2.7016545134744674, "test_loss": 0.7279782277165037, "test_acc1": 82.96400249847412, "test_acc5": 96.40200264160156, "epoch": 246, "n_parameters": 99271400} +{"train_lr": 8.705767687650155e-05, "train_loss": 2.6931176643601233, "test_loss": 0.7227735598430489, "test_acc1": 83.12800267730712, "test_acc5": 96.38000245941163, "epoch": 247, "n_parameters": 99271400} +{"train_lr": 8.430311697149993e-05, "train_loss": 2.6998188017035942, "test_loss": 0.7263909650571418, "test_acc1": 83.10200238311768, "test_acc5": 96.43400280517578, "epoch": 248, "n_parameters": 99271400} +{"train_lr": 8.159469122054745e-05, "train_loss": 2.686419910640358, "test_loss": 0.7213095419221756, "test_acc1": 83.18000269439698, "test_acc5": 96.45600285369873, "epoch": 249, "n_parameters": 99271400} +{"train_lr": 7.893269663304691e-05, "train_loss": 2.6838451822360545, "test_loss": 0.7210869978210239, "test_acc1": 83.17000253875733, "test_acc5": 96.46200248199463, "epoch": 250, "n_parameters": 99271400} +{"train_lr": 7.631742512670381e-05, "train_loss": 2.6716752427873565, "test_loss": 0.7251876005056229, "test_acc1": 83.0840025805664, "test_acc5": 96.46600256713867, "epoch": 251, "n_parameters": 99271400} +{"train_lr": 7.37491634955067e-05, "train_loss": 2.6687492007117193, "test_loss": 0.7222172305778121, "test_acc1": 83.07600268066406, "test_acc5": 96.4340026675415, "epoch": 252, "n_parameters": 99271400} +{"train_lr": 7.122819337828824e-05, "train_loss": 2.6636458479290863, "test_loss": 0.7220078890183659, "test_acc1": 83.13600232147216, "test_acc5": 96.47600239685059, "epoch": 253, "n_parameters": 99271400} +{"train_lr": 6.875479122782832e-05, "train_loss": 2.656297605029113, "test_loss": 0.7199858330528844, "test_acc1": 83.28200245697022, "test_acc5": 96.42000237792969, "epoch": 254, "n_parameters": 99271400} +{"train_lr": 6.632922828055003e-05, "train_loss": 2.6606641437271707, "test_loss": 0.7201215298564145, "test_acc1": 83.20800258453369, "test_acc5": 96.45200247558594, "epoch": 255, "n_parameters": 99271400} +{"train_lr": 6.395177052675899e-05, "train_loss": 2.6549138937541525, "test_loss": 0.7179132192536737, "test_acc1": 83.24400253234863, "test_acc5": 96.47200261779786, "epoch": 256, "n_parameters": 99271400} +{"train_lr": 6.162267868149164e-05, "train_loss": 2.6536548534552638, "test_loss": 0.7152580747550185, "test_acc1": 83.25400223754883, "test_acc5": 96.5440025592041, "epoch": 257, "n_parameters": 99271400} +{"train_lr": 5.934220815591336e-05, "train_loss": 2.6441839948522863, "test_loss": 0.7151417211262565, "test_acc1": 83.2480025704956, "test_acc5": 96.4740025680542, "epoch": 258, "n_parameters": 99271400} +{"train_lr": 5.7110609029320316e-05, "train_loss": 2.639134651262888, "test_loss": 0.7180755332563863, "test_acc1": 83.33400250274659, "test_acc5": 96.52200219512939, "epoch": 259, "n_parameters": 99271400} +{"train_lr": 5.492812602170232e-05, "train_loss": 2.6377801231795743, "test_loss": 0.7185223314233802, "test_acc1": 83.38600250396729, "test_acc5": 96.47000224243165, "epoch": 260, "n_parameters": 99271400} +{"train_lr": 5.2794998466913834e-05, "train_loss": 2.6416310372350695, "test_loss": 0.7188166176730936, "test_acc1": 83.38000258178711, "test_acc5": 96.43000251586913, "epoch": 261, "n_parameters": 99271400} +{"train_lr": 5.0711460286429e-05, "train_loss": 2.628881568829123, "test_loss": 0.7168752866599596, "test_acc1": 83.34400233337402, "test_acc5": 96.49000285919189, "epoch": 262, "n_parameters": 99271400} +{"train_lr": 4.8677739963691566e-05, "train_loss": 2.630465004810517, "test_loss": 0.7184279832537427, "test_acc1": 83.50600284545898, "test_acc5": 96.5100025466919, "epoch": 263, "n_parameters": 99271400} +{"train_lr": 4.669406051905346e-05, "train_loss": 2.620238839722366, "test_loss": 0.7188367969497587, "test_acc1": 83.3700023764038, "test_acc5": 96.43200242858887, "epoch": 264, "n_parameters": 99271400} +{"train_lr": 4.476063948531632e-05, "train_loss": 2.620148553515224, "test_loss": 0.7210357226995807, "test_acc1": 83.31600240081787, "test_acc5": 96.43600247741699, "epoch": 265, "n_parameters": 99271400} +{"train_lr": 4.287768888388454e-05, "train_loss": 2.6152644513203183, "test_loss": 0.7224521354743929, "test_acc1": 83.27600263244629, "test_acc5": 96.45400225006104, "epoch": 266, "n_parameters": 99271400} +{"train_lr": 4.1045415201513915e-05, "train_loss": 2.6074295646662144, "test_loss": 0.7225836858040455, "test_acc1": 83.28000246826171, "test_acc5": 96.40800249328613, "epoch": 267, "n_parameters": 99271400} +{"train_lr": 3.926401936765786e-05, "train_loss": 2.608361898876018, "test_loss": 0.7180332597345114, "test_acc1": 83.46600267852783, "test_acc5": 96.43600247131347, "epoch": 268, "n_parameters": 99271400} +{"train_lr": 3.753369673244709e-05, "train_loss": 2.6006217308634287, "test_loss": 0.7156695543477932, "test_acc1": 83.452002449646, "test_acc5": 96.45400241271973, "epoch": 269, "n_parameters": 99271400} +{"train_lr": 3.585463704525412e-05, "train_loss": 2.600297319338762, "test_loss": 0.719578925689513, "test_acc1": 83.39800244140625, "test_acc5": 96.42600264160156, "epoch": 270, "n_parameters": 99271400} +{"train_lr": 3.4227024433899046e-05, "train_loss": 2.589555358405498, "test_loss": 0.719323228198019, "test_acc1": 83.44400253570556, "test_acc5": 96.43200262756348, "epoch": 271, "n_parameters": 99271400} +{"train_lr": 3.2651037384443736e-05, "train_loss": 2.590218875167086, "test_loss": 0.7171719992025332, "test_acc1": 83.45200254730224, "test_acc5": 96.44600249176025, "epoch": 272, "n_parameters": 99271400} +{"train_lr": 3.112684872162703e-05, "train_loss": 2.5936745209492846, "test_loss": 0.7159217481473179, "test_acc1": 83.45400260162353, "test_acc5": 96.46600244293212, "epoch": 273, "n_parameters": 99271400} +{"train_lr": 2.9654625589913e-05, "train_loss": 2.5911505376215844, "test_loss": 0.7263896567464778, "test_acc1": 83.38200251800536, "test_acc5": 96.43600252380371, "epoch": 274, "n_parameters": 99271400} +{"train_lr": 2.8234529435159726e-05, "train_loss": 2.585597310325415, "test_loss": 0.7149324507988764, "test_acc1": 83.54800255249023, "test_acc5": 96.49800267700195, "epoch": 275, "n_parameters": 99271400} +{"train_lr": 2.686671598691151e-05, "train_loss": 2.5857272745489026, "test_loss": 0.7181551961623358, "test_acc1": 83.50400248626708, "test_acc5": 96.49800247497559, "epoch": 276, "n_parameters": 99271400} +{"train_lr": 2.55513352413271e-05, "train_loss": 2.5843542222734643, "test_loss": 0.7194325669358174, "test_acc1": 83.46400248077393, "test_acc5": 96.5000024987793, "epoch": 277, "n_parameters": 99271400} +{"train_lr": 2.4288531444729954e-05, "train_loss": 2.5798407864870785, "test_loss": 0.7143267344570521, "test_acc1": 83.56200254119874, "test_acc5": 96.52200262145996, "epoch": 278, "n_parameters": 99271400} +{"train_lr": 2.3078443077785567e-05, "train_loss": 2.575417499652774, "test_loss": 0.7210257833428455, "test_acc1": 83.58600246124267, "test_acc5": 96.46600247833251, "epoch": 279, "n_parameters": 99271400} +{"train_lr": 2.192120284031953e-05, "train_loss": 2.564916114119603, "test_loss": 0.7218290651499322, "test_acc1": 83.4680026171875, "test_acc5": 96.52400263122558, "epoch": 280, "n_parameters": 99271400} +{"train_lr": 2.0816937636766537e-05, "train_loss": 2.568404138612328, "test_loss": 0.7182587943971157, "test_acc1": 83.60400240325927, "test_acc5": 96.4920025265503, "epoch": 281, "n_parameters": 99271400} +{"train_lr": 1.976576856224742e-05, "train_loss": 2.5693733815452178, "test_loss": 0.7156512884592469, "test_acc1": 83.54400254882812, "test_acc5": 96.49800247406006, "epoch": 282, "n_parameters": 99271400} +{"train_lr": 1.8767810889299472e-05, "train_loss": 2.563385537428726, "test_loss": 0.7181034519365339, "test_acc1": 83.55600257720947, "test_acc5": 96.49600238433838, "epoch": 283, "n_parameters": 99271400} +{"train_lr": 1.7823174055225238e-05, "train_loss": 2.5584675414051463, "test_loss": 0.7163748603991487, "test_acc1": 83.57000262451172, "test_acc5": 96.5000025402832, "epoch": 284, "n_parameters": 99271400} +{"train_lr": 1.6931961650100128e-05, "train_loss": 2.5576122080703243, "test_loss": 0.7165574069614663, "test_acc1": 83.57400256317139, "test_acc5": 96.54200270385742, "epoch": 285, "n_parameters": 99271400} +{"train_lr": 1.609427140540658e-05, "train_loss": 2.5550617168394685, "test_loss": 0.7184151727141757, "test_acc1": 83.55200284454345, "test_acc5": 96.51600271636963, "epoch": 286, "n_parameters": 99271400} +{"train_lr": 1.5310195183320784e-05, "train_loss": 2.551888227855845, "test_loss": 0.71971087942295, "test_acc1": 83.52600262176513, "test_acc5": 96.5000022796631, "epoch": 287, "n_parameters": 99271400} +{"train_lr": 1.4579818966635116e-05, "train_loss": 2.5529152379214146, "test_loss": 0.7199640018357472, "test_acc1": 83.59200242980957, "test_acc5": 96.48600241638184, "epoch": 288, "n_parameters": 99271400} +{"train_lr": 1.3903222849333426e-05, "train_loss": 2.549595011188258, "test_loss": 0.7177853421166991, "test_acc1": 83.63600269012451, "test_acc5": 96.55800265075683, "epoch": 289, "n_parameters": 99271400} +{"train_lr": 1.3280481027803718e-05, "train_loss": 2.5539169563806885, "test_loss": 0.7181187841025266, "test_acc1": 83.6660026385498, "test_acc5": 96.51000261444092, "epoch": 290, "n_parameters": 99271400} +{"train_lr": 1.2711661792704427e-05, "train_loss": 2.545436654397719, "test_loss": 0.721064303804076, "test_acc1": 83.58400250885009, "test_acc5": 96.55200259216309, "epoch": 291, "n_parameters": 99271400} +{"train_lr": 1.2196827521475628e-05, "train_loss": 2.5415710321457077, "test_loss": 0.7195934658362106, "test_acc1": 83.57200274230956, "test_acc5": 96.5380024420166, "epoch": 292, "n_parameters": 99271400} +{"train_lr": 1.1736034671495227e-05, "train_loss": 2.5417104616082256, "test_loss": 0.7152923415556098, "test_acc1": 83.63200251708984, "test_acc5": 96.55200245269775, "epoch": 293, "n_parameters": 99271400} +{"train_lr": 1.1329333773893123e-05, "train_loss": 2.54012071471706, "test_loss": 0.7189313418824564, "test_acc1": 83.61400256072999, "test_acc5": 96.55200256896973, "epoch": 294, "n_parameters": 99271400} +{"train_lr": 1.0976769428005425e-05, "train_loss": 2.5437016500700578, "test_loss": 0.72005766827726, "test_acc1": 83.57800249481201, "test_acc5": 96.54400261779786, "epoch": 295, "n_parameters": 99271400} +{"train_lr": 1.067838029648576e-05, "train_loss": 2.5390554957276437, "test_loss": 0.7191365504016479, "test_acc1": 83.63800256042481, "test_acc5": 96.52600243591309, "epoch": 296, "n_parameters": 99271400} +{"train_lr": 1.0434199101065238e-05, "train_loss": 2.542331995473777, "test_loss": 0.7194160284530936, "test_acc1": 83.64600249542237, "test_acc5": 96.48600264373779, "epoch": 297, "n_parameters": 99271400} +{"train_lr": 1.0244252618963044e-05, "train_loss": 2.537414372324658, "test_loss": 0.7188700063323433, "test_acc1": 83.58400245849609, "test_acc5": 96.52000244293212, "epoch": 298, "n_parameters": 99271400} +{"train_lr": 1.0108561679951307e-05, "train_loss": 2.536575257408914, "test_loss": 0.7181618733500893, "test_acc1": 83.65000248077392, "test_acc5": 96.53000260192871, "epoch": 299, "n_parameters": 99271400} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt new file mode 100644 index 000000000..32673e493 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt @@ -0,0 +1,300 @@ +{"train_lr": 1.000000000000014e-06, "train_loss": 6.9166167094230655, "test_loss": 6.881752743440516, "test_acc1": 0.18800001103878022, "test_acc5": 0.9300000336265564, "epoch": 0, "n_parameters": 24060776} +{"train_lr": 1.000000000000014e-06, "train_loss": 6.900423232269287, "test_loss": 6.852993618039524, "test_acc1": 0.41600001563549044, "test_acc5": 1.5720000462150574, "epoch": 1, "n_parameters": 24060776} +{"train_lr": 0.00040080000000000486, "train_loss": 6.646979278850555, "test_loss": 5.493567599969752, "test_acc1": 6.424000176010132, "test_acc5": 18.284000532073975, "epoch": 2, "n_parameters": 24060776} +{"train_lr": 0.0008005999999999952, "train_loss": 6.297702983379364, "test_loss": 4.646971811266506, "test_acc1": 14.610000506286621, "test_acc5": 32.9140008934021, "epoch": 3, "n_parameters": 24060776} +{"train_lr": 0.001200399999999992, "train_loss": 6.0142835487365724, "test_loss": 3.968842138262356, "test_acc1": 22.43800064086914, "test_acc5": 45.01200138336181, "epoch": 4, "n_parameters": 24060776} +{"train_lr": 0.001600200000000024, "train_loss": 5.753731050109863, "test_loss": 3.4170068081687477, "test_acc1": 30.60400089279175, "test_acc5": 55.76000146942139, "epoch": 5, "n_parameters": 24060776} +{"train_lr": 0.001998636387080776, "train_loss": 5.494997973155975, "test_loss": 2.9434911687584484, "test_acc1": 38.45400118209839, "test_acc5": 64.25200190032959, "epoch": 6, "n_parameters": 24060776} +{"train_lr": 0.001998036594786119, "train_loss": 5.245779330396652, "test_loss": 2.6588724194204105, "test_acc1": 44.24800133544922, "test_acc5": 69.74200233428955, "epoch": 7, "n_parameters": 24060776} +{"train_lr": 0.001997327904838336, "train_loss": 5.0572126257419585, "test_loss": 2.3770968151443146, "test_acc1": 48.44400132751465, "test_acc5": 73.88200233337402, "epoch": 8, "n_parameters": 24060776} +{"train_lr": 0.0019965103949532784, "train_loss": 4.904551318454742, "test_loss": 2.225582433097503, "test_acc1": 51.62800114135742, "test_acc5": 76.74000275421143, "epoch": 9, "n_parameters": 24060776} +{"train_lr": 0.0019955841547800715, "train_loss": 4.781468183612824, "test_loss": 2.1663901078350403, "test_acc1": 53.92400145446777, "test_acc5": 78.55800275604248, "epoch": 10, "n_parameters": 24060776} +{"train_lr": 0.0019945492858914225, "train_loss": 4.680502858829498, "test_loss": 2.019594290677239, "test_acc1": 56.45400156951904, "test_acc5": 80.33000265350341, "epoch": 11, "n_parameters": 24060776} +{"train_lr": 0.001993405901772395, "train_loss": 4.59881298751831, "test_loss": 1.8617978301994942, "test_acc1": 58.35600150360107, "test_acc5": 82.20000294708252, "epoch": 12, "n_parameters": 24060776} +{"train_lr": 0.001992154127807911, "train_loss": 4.521906917619705, "test_loss": 1.8242545925519045, "test_acc1": 59.48800161804199, "test_acc5": 82.6920026071167, "epoch": 13, "n_parameters": 24060776} +{"train_lr": 0.0019907941012691044, "train_loss": 4.435260578107834, "test_loss": 1.7272365518352564, "test_acc1": 61.238001587524415, "test_acc5": 84.06800270141602, "epoch": 14, "n_parameters": 24060776} +{"train_lr": 0.001989325971298189, "train_loss": 4.379169403886795, "test_loss": 1.6653209179639816, "test_acc1": 61.95000177520752, "test_acc5": 84.72800244293212, "epoch": 15, "n_parameters": 24060776} +{"train_lr": 0.0019877498988921443, "train_loss": 4.336374693012238, "test_loss": 1.6661443131811478, "test_acc1": 62.66000188110352, "test_acc5": 85.13600257629395, "epoch": 16, "n_parameters": 24060776} +{"train_lr": 0.001986066056885134, "train_loss": 4.287661607599259, "test_loss": 1.6314450318322462, "test_acc1": 63.338001997375486, "test_acc5": 85.66600270233154, "epoch": 17, "n_parameters": 24060776} +{"train_lr": 0.0019842746299294275, "train_loss": 4.267950725317001, "test_loss": 1.627405859529972, "test_acc1": 64.39200188323974, "test_acc5": 86.18800262969971, "epoch": 18, "n_parameters": 24060776} +{"train_lr": 0.001982375814475029, "train_loss": 4.2073179790973665, "test_loss": 1.5344904998646063, "test_acc1": 64.83600168060303, "test_acc5": 86.62800259613037, "epoch": 19, "n_parameters": 24060776} +{"train_lr": 0.0019803698187486067, "train_loss": 4.170451214361191, "test_loss": 1.515706536524436, "test_acc1": 65.40600167510986, "test_acc5": 87.18800308227539, "epoch": 20, "n_parameters": 24060776} +{"train_lr": 0.0019782568627301463, "train_loss": 4.151505057382583, "test_loss": 1.5197033049429165, "test_acc1": 65.99200183959961, "test_acc5": 87.19800251586913, "epoch": 21, "n_parameters": 24060776} +{"train_lr": 0.001976037178129065, "train_loss": 4.101223092460632, "test_loss": 1.5065594403182758, "test_acc1": 66.44600177764893, "test_acc5": 87.926002633667, "epoch": 22, "n_parameters": 24060776} +{"train_lr": 0.0019737110083587897, "train_loss": 4.078556677341461, "test_loss": 1.512428046149366, "test_acc1": 66.71000194793702, "test_acc5": 87.98400250091552, "epoch": 23, "n_parameters": 24060776} +{"train_lr": 0.0019712786085100747, "train_loss": 4.064126892137527, "test_loss": 1.4446257199434673, "test_acc1": 67.22000205810546, "test_acc5": 88.26000223693848, "epoch": 24, "n_parameters": 24060776} +{"train_lr": 0.0019687402453230037, "train_loss": 4.045032384777069, "test_loss": 1.4087751108933897, "test_acc1": 67.6620019091797, "test_acc5": 88.50800242401122, "epoch": 25, "n_parameters": 24060776} +{"train_lr": 0.0019660961971576228, "train_loss": 4.018140282678604, "test_loss": 1.4196882602923058, "test_acc1": 67.85400199737549, "test_acc5": 88.69200296264648, "epoch": 26, "n_parameters": 24060776} +{"train_lr": 0.0019633467539636844, "train_loss": 3.97068206987381, "test_loss": 1.3655332716948845, "test_acc1": 68.0900020135498, "test_acc5": 88.79200279815674, "epoch": 27, "n_parameters": 24060776} +{"train_lr": 0.001960492217248551, "train_loss": 3.969647033548355, "test_loss": 1.3580567639540224, "test_acc1": 68.53400197723388, "test_acc5": 89.12600251281738, "epoch": 28, "n_parameters": 24060776} +{"train_lr": 0.001957532900044391, "train_loss": 3.958447690105438, "test_loss": 1.3302292302250862, "test_acc1": 69.01000206726074, "test_acc5": 89.32800251373291, "epoch": 29, "n_parameters": 24060776} +{"train_lr": 0.001954469126873713, "train_loss": 3.9482184868335723, "test_loss": 1.323928243973676, "test_acc1": 69.10000216552734, "test_acc5": 89.20000274780273, "epoch": 30, "n_parameters": 24060776} +{"train_lr": 0.001951301233713696, "train_loss": 3.914013076925278, "test_loss": 1.3404749290031546, "test_acc1": 68.94800197845458, "test_acc5": 89.38000257781982, "epoch": 31, "n_parameters": 24060776} +{"train_lr": 0.0019480295679595446, "train_loss": 3.9075081233501434, "test_loss": 1.337514794048141, "test_acc1": 69.02000198516846, "test_acc5": 89.47000230712891, "epoch": 32, "n_parameters": 24060776} +{"train_lr": 0.0019446544883863159, "train_loss": 3.9008780443668365, "test_loss": 1.3518591978970695, "test_acc1": 69.48800206298829, "test_acc5": 89.73800237945557, "epoch": 33, "n_parameters": 24060776} +{"train_lr": 0.0019411763651094502, "train_loss": 3.88607494931221, "test_loss": 1.3361432911718594, "test_acc1": 69.41400229858398, "test_acc5": 89.79800254730225, "epoch": 34, "n_parameters": 24060776} +{"train_lr": 0.001937595579544427, "train_loss": 3.87936882815361, "test_loss": 1.3059986720190329, "test_acc1": 69.7860021069336, "test_acc5": 89.88000224334716, "epoch": 35, "n_parameters": 24060776} +{"train_lr": 0.001933912524364705, "train_loss": 3.862893263053894, "test_loss": 1.283931364031399, "test_acc1": 70.10600218200683, "test_acc5": 90.29400255249024, "epoch": 36, "n_parameters": 24060776} +{"train_lr": 0.001930127603458811, "train_loss": 3.8490426371097564, "test_loss": 1.3177739600924885, "test_acc1": 70.10800220092773, "test_acc5": 90.10200253845215, "epoch": 37, "n_parameters": 24060776} +{"train_lr": 0.0019262412318859173, "train_loss": 3.8466834062576294, "test_loss": 1.232938153340536, "test_acc1": 70.66600232482911, "test_acc5": 90.34400225433349, "epoch": 38, "n_parameters": 24060776} +{"train_lr": 0.0019222538358305567, "train_loss": 3.827103704833984, "test_loss": 1.2718385230092442, "test_acc1": 70.32000237121582, "test_acc5": 90.24400271362305, "epoch": 39, "n_parameters": 24060776} +{"train_lr": 0.001918165852555555, "train_loss": 3.8173136982917786, "test_loss": 1.2855197673334795, "test_acc1": 70.44000231872559, "test_acc5": 90.18000264129638, "epoch": 40, "n_parameters": 24060776} +{"train_lr": 0.0019139777303543795, "train_loss": 3.8115881784439085, "test_loss": 1.2495014917324572, "test_acc1": 70.86000210510254, "test_acc5": 90.62800276245117, "epoch": 41, "n_parameters": 24060776} +{"train_lr": 0.001909689928501825, "train_loss": 3.800415844297409, "test_loss": 1.2448612920501654, "test_acc1": 70.4940022277832, "test_acc5": 90.39800241790772, "epoch": 42, "n_parameters": 24060776} +{"train_lr": 0.0019053029172036804, "train_loss": 3.7942633907318117, "test_loss": 1.304453775724944, "test_acc1": 70.66200229064941, "test_acc5": 90.31600246917725, "epoch": 43, "n_parameters": 24060776} +{"train_lr": 0.0019008171775451953, "train_loss": 3.785053808116913, "test_loss": 1.2751891472760368, "test_acc1": 71.02800188690186, "test_acc5": 90.51800257781983, "epoch": 44, "n_parameters": 24060776} +{"train_lr": 0.0018962332014382086, "train_loss": 3.7779406859397886, "test_loss": 1.256242101683336, "test_acc1": 71.10400210632324, "test_acc5": 90.67800259735107, "epoch": 45, "n_parameters": 24060776} +{"train_lr": 0.001891551491567408, "train_loss": 3.766445387983322, "test_loss": 1.239571056821767, "test_acc1": 71.29200198059083, "test_acc5": 90.7600029296875, "epoch": 46, "n_parameters": 24060776} +{"train_lr": 0.0018867725613350525, "train_loss": 3.764039206647873, "test_loss": 1.2255342799951048, "test_acc1": 71.40000254608154, "test_acc5": 90.788002444458, "epoch": 47, "n_parameters": 24060776} +{"train_lr": 0.0018818969348046717, "train_loss": 3.7626554797649385, "test_loss": 1.2046179135932642, "test_acc1": 71.31800252075195, "test_acc5": 90.7840027319336, "epoch": 48, "n_parameters": 24060776} +{"train_lr": 0.0018769251466436497, "train_loss": 3.7567674448013304, "test_loss": 1.240899144726641, "test_acc1": 71.6120024685669, "test_acc5": 90.88200266967773, "epoch": 49, "n_parameters": 24060776} +{"train_lr": 0.0018718577420645882, "train_loss": 3.7442022063732145, "test_loss": 1.2042890506632187, "test_acc1": 71.8620024572754, "test_acc5": 90.96200265838623, "epoch": 50, "n_parameters": 24060776} +{"train_lr": 0.0018666952767655116, "train_loss": 3.7372916756153107, "test_loss": 1.239381478551556, "test_acc1": 71.58400232452392, "test_acc5": 90.91200248779298, "epoch": 51, "n_parameters": 24060776} +{"train_lr": 0.0018614383168689146, "train_loss": 3.7368017967224123, "test_loss": 1.2019954591112978, "test_acc1": 71.93400228485108, "test_acc5": 91.08600230407716, "epoch": 52, "n_parameters": 24060776} +{"train_lr": 0.0018560874388596986, "train_loss": 3.7272206943035124, "test_loss": 1.198340868248659, "test_acc1": 72.0080024911499, "test_acc5": 91.15400258361817, "epoch": 53, "n_parameters": 24060776} +{"train_lr": 0.0018506432295219242, "train_loss": 3.7124100513935088, "test_loss": 1.236672550878104, "test_acc1": 71.85000258178711, "test_acc5": 91.0880025088501, "epoch": 54, "n_parameters": 24060776} +{"train_lr": 0.0018451062858745107, "train_loss": 3.711307235050201, "test_loss": 1.220296363620197, "test_acc1": 71.89400233032227, "test_acc5": 91.1480024746704, "epoch": 55, "n_parameters": 24060776} +{"train_lr": 0.0018394772151057051, "train_loss": 3.7108225484848023, "test_loss": 1.2157226231168299, "test_acc1": 71.6260023980713, "test_acc5": 91.08600271453858, "epoch": 56, "n_parameters": 24060776} +{"train_lr": 0.00183375663450656, "train_loss": 3.702996884870529, "test_loss": 1.2031928839928963, "test_acc1": 72.16000268432617, "test_acc5": 91.19000211486816, "epoch": 57, "n_parameters": 24060776} +{"train_lr": 0.0018279451714031726, "train_loss": 3.690967625951767, "test_loss": 1.1789220457567888, "test_acc1": 72.29800241912842, "test_acc5": 91.28200258850097, "epoch": 58, "n_parameters": 24060776} +{"train_lr": 0.0018220434630880139, "train_loss": 3.690345864868164, "test_loss": 1.2127124382292522, "test_acc1": 72.22800251800537, "test_acc5": 91.21000251586914, "epoch": 59, "n_parameters": 24060776} +{"train_lr": 0.001816052156749922, "train_loss": 3.6691210823059084, "test_loss": 1.1745089673820663, "test_acc1": 72.60000229003906, "test_acc5": 91.36400236358642, "epoch": 60, "n_parameters": 24060776} +{"train_lr": 0.0018099719094030562, "train_loss": 3.6857360043048857, "test_loss": 1.17949009248439, "test_acc1": 72.60600227539062, "test_acc5": 91.58400256103516, "epoch": 61, "n_parameters": 24060776} +{"train_lr": 0.0018038033878151612, "train_loss": 3.681564307641983, "test_loss": 1.2064301472376375, "test_acc1": 72.43400242401123, "test_acc5": 91.33400244628906, "epoch": 62, "n_parameters": 24060776} +{"train_lr": 0.0017975472684340769, "train_loss": 3.6749915835380556, "test_loss": 1.1882389367503279, "test_acc1": 72.79400222808837, "test_acc5": 91.43800262512207, "epoch": 63, "n_parameters": 24060776} +{"train_lr": 0.001791204237313821, "train_loss": 3.6677514231681823, "test_loss": 1.1636096872389317, "test_acc1": 72.53400211608887, "test_acc5": 91.50800287902833, "epoch": 64, "n_parameters": 24060776} +{"train_lr": 0.0017847749900392373, "train_loss": 3.656789074087143, "test_loss": 1.1444934383034706, "test_acc1": 72.68400236694336, "test_acc5": 91.68600235687256, "epoch": 65, "n_parameters": 24060776} +{"train_lr": 0.0017782602316496962, "train_loss": 3.6495708696365354, "test_loss": 1.1631326828809345, "test_acc1": 72.86600260314941, "test_acc5": 91.8760027178955, "epoch": 66, "n_parameters": 24060776} +{"train_lr": 0.001771660676561891, "train_loss": 3.6531589543819427, "test_loss": 1.1662686480318798, "test_acc1": 72.84800252716065, "test_acc5": 91.5600028237915, "epoch": 67, "n_parameters": 24060776} +{"train_lr": 0.0017649770484914644, "train_loss": 3.63984654417038, "test_loss": 1.153731965843369, "test_acc1": 72.90800252777099, "test_acc5": 91.7560025946045, "epoch": 68, "n_parameters": 24060776} +{"train_lr": 0.001758210080373487, "train_loss": 3.6493537393093107, "test_loss": 1.1483346298336983, "test_acc1": 72.80200252746582, "test_acc5": 91.73400281188965, "epoch": 69, "n_parameters": 24060776} +{"train_lr": 0.0017513605142822869, "train_loss": 3.661183917617798, "test_loss": 1.1389450049575638, "test_acc1": 73.13600254882813, "test_acc5": 91.81400260620117, "epoch": 70, "n_parameters": 24060776} +{"train_lr": 0.0017444291013499953, "train_loss": 3.6198657208919527, "test_loss": 1.147565570386017, "test_acc1": 73.06400236083985, "test_acc5": 91.72800247192383, "epoch": 71, "n_parameters": 24060776} +{"train_lr": 0.0017374166016841382, "train_loss": 3.62926415977478, "test_loss": 1.1078796627766945, "test_acc1": 73.21400230194092, "test_acc5": 91.84600241882325, "epoch": 72, "n_parameters": 24060776} +{"train_lr": 0.0017303237842842885, "train_loss": 3.626613400030136, "test_loss": 1.1461321439813166, "test_acc1": 72.93600219665527, "test_acc5": 91.84200233245849, "epoch": 73, "n_parameters": 24060776} +{"train_lr": 0.0017231514269578777, "train_loss": 3.6251906237125398, "test_loss": 1.1479054658728487, "test_acc1": 73.0160024533081, "test_acc5": 91.94800230377197, "epoch": 74, "n_parameters": 24060776} +{"train_lr": 0.0017159003162346125, "train_loss": 3.6187302713394165, "test_loss": 1.1150442331152803, "test_acc1": 73.31800271942139, "test_acc5": 92.03200229522704, "epoch": 75, "n_parameters": 24060776} +{"train_lr": 0.0017085712472806275, "train_loss": 3.62776505856514, "test_loss": 1.1436731403364855, "test_acc1": 73.49000243377685, "test_acc5": 91.84800264801025, "epoch": 76, "n_parameters": 24060776} +{"train_lr": 0.0017011650238107929, "train_loss": 3.606157405996323, "test_loss": 1.1571928551968407, "test_acc1": 73.45600257354737, "test_acc5": 91.80200253112793, "epoch": 77, "n_parameters": 24060776} +{"train_lr": 0.0016936824580010494, "train_loss": 3.60817825756073, "test_loss": 1.162386427030844, "test_acc1": 73.42600253082276, "test_acc5": 91.9840027142334, "epoch": 78, "n_parameters": 24060776} +{"train_lr": 0.0016861243703990485, "train_loss": 3.599230665206909, "test_loss": 1.1546368568259127, "test_acc1": 73.49600245422363, "test_acc5": 91.99800243591308, "epoch": 79, "n_parameters": 24060776} +{"train_lr": 0.0016784915898342418, "train_loss": 3.592446541070938, "test_loss": 1.125449493089143, "test_acc1": 73.43200249298096, "test_acc5": 92.00000242462158, "epoch": 80, "n_parameters": 24060776} +{"train_lr": 0.0016707849533270642, "train_loss": 3.5927129752159117, "test_loss": 1.098768092253629, "test_acc1": 73.60400255096435, "test_acc5": 92.0580027005005, "epoch": 81, "n_parameters": 24060776} +{"train_lr": 0.001663005305997046, "train_loss": 3.602129011297226, "test_loss": 1.114987500011921, "test_acc1": 73.7180024685669, "test_acc5": 91.95800263458251, "epoch": 82, "n_parameters": 24060776} +{"train_lr": 0.0016551535009701407, "train_loss": 3.597127219581604, "test_loss": 1.1116552865680527, "test_acc1": 73.65400266357422, "test_acc5": 92.1380025579834, "epoch": 83, "n_parameters": 24060776} +{"train_lr": 0.0016472303992853554, "train_loss": 3.5740158974170684, "test_loss": 1.117265543955214, "test_acc1": 73.76000233062744, "test_acc5": 92.19600259735107, "epoch": 84, "n_parameters": 24060776} +{"train_lr": 0.001639236869799943, "train_loss": 3.580967625141144, "test_loss": 1.0862789557260626, "test_acc1": 73.90200251159668, "test_acc5": 92.27400269256592, "epoch": 85, "n_parameters": 24060776} +{"train_lr": 0.0016311737890946031, "train_loss": 3.579974809885025, "test_loss": 1.0995022764100748, "test_acc1": 74.06400247436524, "test_acc5": 92.17600222076416, "epoch": 86, "n_parameters": 24060776} +{"train_lr": 0.0016230420413768944, "train_loss": 3.5662746621131896, "test_loss": 1.1001221401726498, "test_acc1": 73.94800250854492, "test_acc5": 92.29200244995117, "epoch": 87, "n_parameters": 24060776} +{"train_lr": 0.0016148425183847227, "train_loss": 3.5736359107494353, "test_loss": 1.1032882613294266, "test_acc1": 74.104002477417, "test_acc5": 92.38400256195068, "epoch": 88, "n_parameters": 24060776} +{"train_lr": 0.0016065761192880518, "train_loss": 3.557867079925537, "test_loss": 1.1055961032124126, "test_acc1": 74.068002494812, "test_acc5": 92.24600245483398, "epoch": 89, "n_parameters": 24060776} +{"train_lr": 0.0015982437505908042, "train_loss": 3.5662115569114685, "test_loss": 1.116521678864956, "test_acc1": 73.9920023361206, "test_acc5": 92.28800225280762, "epoch": 90, "n_parameters": 24060776} +{"train_lr": 0.0015898463260309926, "train_loss": 3.546019986820221, "test_loss": 1.1040287990780437, "test_acc1": 73.8380027154541, "test_acc5": 92.1200024911499, "epoch": 91, "n_parameters": 24060776} +{"train_lr": 0.0015813847664809548, "train_loss": 3.5581035816669466, "test_loss": 1.089250824030708, "test_acc1": 74.08800243347169, "test_acc5": 92.44000259490967, "epoch": 92, "n_parameters": 24060776} +{"train_lr": 0.0015728599998460196, "train_loss": 3.5549770357608796, "test_loss": 1.114586026791264, "test_acc1": 74.32600274963379, "test_acc5": 92.36400252502442, "epoch": 93, "n_parameters": 24060776} +{"train_lr": 0.0015642729609628499, "train_loss": 3.549670159292221, "test_loss": 1.0737833463970352, "test_acc1": 74.2320023864746, "test_acc5": 92.33000275360108, "epoch": 94, "n_parameters": 24060776} +{"train_lr": 0.0015556245914971397, "train_loss": 3.5427517813682554, "test_loss": 1.0950794636326677, "test_acc1": 74.25400249389648, "test_acc5": 92.32800259735107, "epoch": 95, "n_parameters": 24060776} +{"train_lr": 0.00154691583983993, "train_loss": 3.5431187509059905, "test_loss": 1.0913036152282183, "test_acc1": 74.30400260894775, "test_acc5": 92.35800246643066, "epoch": 96, "n_parameters": 24060776} +{"train_lr": 0.0015381476610041088, "train_loss": 3.5325412004947663, "test_loss": 1.0883901224416845, "test_acc1": 74.53200227142334, "test_acc5": 92.46000242004395, "epoch": 97, "n_parameters": 24060776} +{"train_lr": 0.001529321016519175, "train_loss": 3.524828980207443, "test_loss": 1.0630833936088226, "test_acc1": 74.52600241577149, "test_acc5": 92.49600267028809, "epoch": 98, "n_parameters": 24060776} +{"train_lr": 0.001520436874326258, "train_loss": 3.533720420265198, "test_loss": 1.0606782313655405, "test_acc1": 74.65800271087646, "test_acc5": 92.54800271820068, "epoch": 99, "n_parameters": 24060776} +{"train_lr": 0.0015114962086716307, "train_loss": 3.52910909781456, "test_loss": 1.1064581123783308, "test_acc1": 74.4940024822998, "test_acc5": 92.49000246612549, "epoch": 100, "n_parameters": 24060776} +{"train_lr": 0.001502499999999986, "train_loss": 3.5209153161525726, "test_loss": 1.083836399457034, "test_acc1": 74.59000236938476, "test_acc5": 92.52600271697997, "epoch": 101, "n_parameters": 24060776} +{"train_lr": 0.0014934492348470658, "train_loss": 3.5140959153175353, "test_loss": 1.0608078431995476, "test_acc1": 74.6780026184082, "test_acc5": 92.68800236358642, "epoch": 102, "n_parameters": 24060776} +{"train_lr": 0.0014843449057312158, "train_loss": 3.5030298513412474, "test_loss": 1.0601765807060635, "test_acc1": 74.8980026739502, "test_acc5": 92.80800306640624, "epoch": 103, "n_parameters": 24060776} +{"train_lr": 0.0014751880110447145, "train_loss": 3.5047485358715056, "test_loss": 1.0837295077302878, "test_acc1": 74.4460025881958, "test_acc5": 92.74000272033692, "epoch": 104, "n_parameters": 24060776} +{"train_lr": 0.001465979554944238, "train_loss": 3.4969673835754396, "test_loss": 1.045976003522382, "test_acc1": 74.81800274169922, "test_acc5": 92.84200243560791, "epoch": 105, "n_parameters": 24060776} +{"train_lr": 0.0014567205472408619, "train_loss": 3.4947465202331545, "test_loss": 1.0575545715058552, "test_acc1": 74.9720025137329, "test_acc5": 92.74800259765625, "epoch": 106, "n_parameters": 24060776} +{"train_lr": 0.0014474120032890111, "train_loss": 3.4866513182640078, "test_loss": 1.0833317834664793, "test_acc1": 75.08600245727538, "test_acc5": 92.9200026171875, "epoch": 107, "n_parameters": 24060776} +{"train_lr": 0.0014380549438754759, "train_loss": 3.4928877485275267, "test_loss": 1.0712292632635902, "test_acc1": 74.71000227478028, "test_acc5": 92.56200260559082, "epoch": 108, "n_parameters": 24060776} +{"train_lr": 0.0014286503951072302, "train_loss": 3.4879446826934815, "test_loss": 1.0612621292033617, "test_acc1": 75.00400277282715, "test_acc5": 92.82000261169433, "epoch": 109, "n_parameters": 24060776} +{"train_lr": 0.0014191993882991215, "train_loss": 3.490210386133194, "test_loss": 1.0686360347796888, "test_acc1": 74.72600255767823, "test_acc5": 92.68400239624023, "epoch": 110, "n_parameters": 24060776} +{"train_lr": 0.0014097029598604254, "train_loss": 3.495980357027054, "test_loss": 1.0843131910352146, "test_acc1": 74.91000248168945, "test_acc5": 92.77400241027831, "epoch": 111, "n_parameters": 24060776} +{"train_lr": 0.0014001621511816294, "train_loss": 3.4842470292091368, "test_loss": 1.0469959766110952, "test_acc1": 75.23200276000976, "test_acc5": 92.85800272369384, "epoch": 112, "n_parameters": 24060776} +{"train_lr": 0.0013905780085198332, "train_loss": 3.486410746097565, "test_loss": 1.0567690173492712, "test_acc1": 75.24000270202637, "test_acc5": 92.88200241638184, "epoch": 113, "n_parameters": 24060776} +{"train_lr": 0.0013809515828843947, "train_loss": 3.463459220743179, "test_loss": 1.0538350540925474, "test_acc1": 75.00400277160645, "test_acc5": 92.8300025302124, "epoch": 114, "n_parameters": 24060776} +{"train_lr": 0.001371283929921252, "train_loss": 3.464604772949219, "test_loss": 1.0445050680462051, "test_acc1": 75.04200235229492, "test_acc5": 92.76400255859375, "epoch": 115, "n_parameters": 24060776} +{"train_lr": 0.0013615761097975846, "train_loss": 3.4690242257595063, "test_loss": 1.0301403867847778, "test_acc1": 75.76600255401611, "test_acc5": 93.14600285705566, "epoch": 116, "n_parameters": 24060776} +{"train_lr": 0.0013518291870852068, "train_loss": 3.465022758769989, "test_loss": 1.0442009020377607, "test_acc1": 75.10200258605957, "test_acc5": 93.05400248046875, "epoch": 117, "n_parameters": 24060776} +{"train_lr": 0.001342044230644075, "train_loss": 3.463448742389679, "test_loss": 1.0583439679706799, "test_acc1": 75.43600263244629, "test_acc5": 93.04200228240967, "epoch": 118, "n_parameters": 24060776} +{"train_lr": 0.0013322223135049062, "train_loss": 3.4645725327014922, "test_loss": 1.0494964149068384, "test_acc1": 75.35000280914306, "test_acc5": 93.04800282409668, "epoch": 119, "n_parameters": 24060776} +{"train_lr": 0.0013223645127515833, "train_loss": 3.4526724152565, "test_loss": 1.0320951680050177, "test_acc1": 75.56000235961915, "test_acc5": 93.0640027041626, "epoch": 120, "n_parameters": 24060776} +{"train_lr": 0.0013124719094030836, "train_loss": 3.4423542462348937, "test_loss": 1.0067301872460281, "test_acc1": 75.50600233917237, "test_acc5": 93.22400275421143, "epoch": 121, "n_parameters": 24060776} +{"train_lr": 0.0013025455882947966, "train_loss": 3.4484040131568907, "test_loss": 1.027910668622045, "test_acc1": 75.63800263061523, "test_acc5": 93.19200267852783, "epoch": 122, "n_parameters": 24060776} +{"train_lr": 0.0012925866379597335, "train_loss": 3.4436418500900268, "test_loss": 1.055384565363912, "test_acc1": 75.69000250579833, "test_acc5": 93.11400228240967, "epoch": 123, "n_parameters": 24060776} +{"train_lr": 0.0012825961505090464, "train_loss": 3.4325346589803694, "test_loss": 1.0573203888009577, "test_acc1": 75.61400264587402, "test_acc5": 93.15600255950928, "epoch": 124, "n_parameters": 24060776} +{"train_lr": 0.0012725752215121742, "train_loss": 3.4347517476558687, "test_loss": 1.021550266619991, "test_acc1": 75.742002890625, "test_acc5": 93.29400258331299, "epoch": 125, "n_parameters": 24060776} +{"train_lr": 0.0012625249498769997, "train_loss": 3.436091033124924, "test_loss": 1.0217115804553032, "test_acc1": 75.91400275634766, "test_acc5": 93.18400282958984, "epoch": 126, "n_parameters": 24060776} +{"train_lr": 0.001252446437729036, "train_loss": 3.427793058347702, "test_loss": 0.9976771066293997, "test_acc1": 76.09400249481202, "test_acc5": 93.25800284423828, "epoch": 127, "n_parameters": 24060776} +{"train_lr": 0.0012423407902906966, "train_loss": 3.4245526940345763, "test_loss": 1.0459706551011871, "test_acc1": 75.89000255371094, "test_acc5": 93.18800255615234, "epoch": 128, "n_parameters": 24060776} +{"train_lr": 0.0012322091157600879, "train_loss": 3.430437005186081, "test_loss": 1.0522872292820145, "test_acc1": 75.86600251739502, "test_acc5": 93.2860024255371, "epoch": 129, "n_parameters": 24060776} +{"train_lr": 0.0012220525251895782, "train_loss": 3.4223583642959596, "test_loss": 1.0289067827603395, "test_acc1": 76.14400255218506, "test_acc5": 93.24000299987793, "epoch": 130, "n_parameters": 24060776} +{"train_lr": 0.0012118721323636577, "train_loss": 3.410122365903854, "test_loss": 1.019859840545584, "test_acc1": 76.02200224975586, "test_acc5": 93.39200264709473, "epoch": 131, "n_parameters": 24060776} +{"train_lr": 0.0012016690536772385, "train_loss": 3.4137479061603546, "test_loss": 1.0151899917160763, "test_acc1": 75.86400272399902, "test_acc5": 93.34200269226075, "epoch": 132, "n_parameters": 24060776} +{"train_lr": 0.0011914444080127838, "train_loss": 3.407684290075302, "test_loss": 0.9923640984822722, "test_acc1": 76.36400266021728, "test_acc5": 93.26400254730224, "epoch": 133, "n_parameters": 24060776} +{"train_lr": 0.0011811993166179777, "train_loss": 3.4087041523933412, "test_loss": 1.0404122717240278, "test_acc1": 75.83400249572755, "test_acc5": 93.10000243316651, "epoch": 134, "n_parameters": 24060776} +{"train_lr": 0.0011709349029825147, "train_loss": 3.4013408422470093, "test_loss": 0.9977016952984473, "test_acc1": 76.46800244262695, "test_acc5": 93.46600258087159, "epoch": 135, "n_parameters": 24060776} +{"train_lr": 0.0011606522927150125, "train_loss": 3.3992310399532317, "test_loss": 0.9995682335951749, "test_acc1": 76.09200248962402, "test_acc5": 93.38400222412109, "epoch": 136, "n_parameters": 24060776} +{"train_lr": 0.0011503526134195895, "train_loss": 3.3911259288311006, "test_loss": 1.020989308900693, "test_acc1": 76.25400270172119, "test_acc5": 93.37800226013184, "epoch": 137, "n_parameters": 24060776} +{"train_lr": 0.0011400369945721316, "train_loss": 3.3993113310813903, "test_loss": 1.0080834962427616, "test_acc1": 75.9660025341797, "test_acc5": 93.3320024307251, "epoch": 138, "n_parameters": 24060776} +{"train_lr": 0.0011297065673964897, "train_loss": 3.3934247528553008, "test_loss": 0.9854670585516621, "test_acc1": 76.31400275848388, "test_acc5": 93.4480026538086, "epoch": 139, "n_parameters": 24060776} +{"train_lr": 0.0011193624647404161, "train_loss": 3.378026663303375, "test_loss": 1.022056404282065, "test_acc1": 76.22400234832763, "test_acc5": 93.42400248382569, "epoch": 140, "n_parameters": 24060776} +{"train_lr": 0.0011090058209513058, "train_loss": 3.3800984645366667, "test_loss": 1.000492707333144, "test_acc1": 76.4220021585083, "test_acc5": 93.42000254730225, "epoch": 141, "n_parameters": 24060776} +{"train_lr": 0.0010986377717519076, "train_loss": 3.3625669416427613, "test_loss": 1.021471725667224, "test_acc1": 76.52200283050537, "test_acc5": 93.45000220367432, "epoch": 142, "n_parameters": 24060776} +{"train_lr": 0.0010882594541156475, "train_loss": 3.374408367919922, "test_loss": 1.0017956258619534, "test_acc1": 76.65200235321045, "test_acc5": 93.5180024975586, "epoch": 143, "n_parameters": 24060776} +{"train_lr": 0.0010778720061419887, "train_loss": 3.3651008793354036, "test_loss": 0.9814505147583344, "test_acc1": 76.89400262054443, "test_acc5": 93.55600265563965, "epoch": 144, "n_parameters": 24060776} +{"train_lr": 0.0010674765669316634, "train_loss": 3.3630545991420746, "test_loss": 1.0253348048118984, "test_acc1": 76.58000262634278, "test_acc5": 93.54000242828369, "epoch": 145, "n_parameters": 24060776} +{"train_lr": 0.0010570742764617331, "train_loss": 3.348891470623016, "test_loss": 0.9857402042869259, "test_acc1": 76.71000230010986, "test_acc5": 93.63800242279052, "epoch": 146, "n_parameters": 24060776} +{"train_lr": 0.0010466662754605642, "train_loss": 3.3558529409885405, "test_loss": 0.9838603502687286, "test_acc1": 76.69600257415772, "test_acc5": 93.65000240234374, "epoch": 147, "n_parameters": 24060776} +{"train_lr": 0.0010362537052827404, "train_loss": 3.356507388305664, "test_loss": 0.9974370817927753, "test_acc1": 76.94400266601562, "test_acc5": 93.69800255004883, "epoch": 148, "n_parameters": 24060776} +{"train_lr": 0.001025837707783939, "train_loss": 3.3387598375797274, "test_loss": 0.9709449651486733, "test_acc1": 76.90000268554688, "test_acc5": 93.70200269287109, "epoch": 149, "n_parameters": 24060776} +{"train_lr": 0.0010154194251956715, "train_loss": 3.345292666196823, "test_loss": 0.9872677909100757, "test_acc1": 76.90800243743897, "test_acc5": 93.64000257476806, "epoch": 150, "n_parameters": 24060776} +{"train_lr": 0.0010049999999999998, "train_loss": 3.3393073055028917, "test_loss": 0.9797473146634943, "test_acc1": 76.73400262756347, "test_acc5": 93.56600287139892, "epoch": 151, "n_parameters": 24060776} +{"train_lr": 0.0009945805748043269, "train_loss": 3.3369671110153196, "test_loss": 1.038137612535673, "test_acc1": 76.80400253204346, "test_acc5": 93.6980026977539, "epoch": 152, "n_parameters": 24060776} +{"train_lr": 0.0009841622922160595, "train_loss": 3.327324185681343, "test_loss": 0.9876593588029637, "test_acc1": 76.93000255981445, "test_acc5": 93.75200281860351, "epoch": 153, "n_parameters": 24060776} +{"train_lr": 0.0009737462947172567, "train_loss": 3.336168287563324, "test_loss": 0.9624312252682798, "test_acc1": 77.1140024987793, "test_acc5": 93.83600279022217, "epoch": 154, "n_parameters": 24060776} +{"train_lr": 0.0009633337245394507, "train_loss": 3.328570737862587, "test_loss": 0.9804818551330006, "test_acc1": 77.0160024230957, "test_acc5": 93.69800281463623, "epoch": 155, "n_parameters": 24060776} +{"train_lr": 0.0009529257235382671, "train_loss": 3.3144366824150087, "test_loss": 0.9502530746600207, "test_acc1": 77.18400264556885, "test_acc5": 93.868002366333, "epoch": 156, "n_parameters": 24060776} +{"train_lr": 0.0009425234330683322, "train_loss": 3.3117440662384032, "test_loss": 0.9810147140832508, "test_acc1": 77.17600232208252, "test_acc5": 93.86000261657715, "epoch": 157, "n_parameters": 24060776} +{"train_lr": 0.0009321279938580015, "train_loss": 3.3013134874582293, "test_loss": 0.973507409586626, "test_acc1": 77.21600239196778, "test_acc5": 93.78000253143311, "epoch": 158, "n_parameters": 24060776} +{"train_lr": 0.0009217405458843428, "train_loss": 3.3196940386295317, "test_loss": 0.9699762349619585, "test_acc1": 77.27200255401611, "test_acc5": 93.75400239685058, "epoch": 159, "n_parameters": 24060776} +{"train_lr": 0.0009113622282480682, "train_loss": 3.2962386468410494, "test_loss": 0.9723951086840209, "test_acc1": 77.15200243469238, "test_acc5": 93.74200271850586, "epoch": 160, "n_parameters": 24060776} +{"train_lr": 0.0009009941790486906, "train_loss": 3.2809381457328795, "test_loss": 0.9614666231414851, "test_acc1": 77.33800209320069, "test_acc5": 93.85200254699707, "epoch": 161, "n_parameters": 24060776} +{"train_lr": 0.0008906375352595949, "train_loss": 3.2938072096824644, "test_loss": 0.945329600616413, "test_acc1": 77.57400252044678, "test_acc5": 94.02800244110108, "epoch": 162, "n_parameters": 24060776} +{"train_lr": 0.0008802934326035285, "train_loss": 3.285282761454582, "test_loss": 0.9803441872491556, "test_acc1": 77.37600261535644, "test_acc5": 93.92000219024658, "epoch": 163, "n_parameters": 24060776} +{"train_lr": 0.0008699630054278571, "train_loss": 3.2844683326244355, "test_loss": 0.9757397643783513, "test_acc1": 77.33600222839355, "test_acc5": 94.07400265655518, "epoch": 164, "n_parameters": 24060776} +{"train_lr": 0.0008596473865803981, "train_loss": 3.2847325788259507, "test_loss": 0.9562812053105411, "test_acc1": 77.50000262115479, "test_acc5": 94.0660023388672, "epoch": 165, "n_parameters": 24060776} +{"train_lr": 0.0008493477072849636, "train_loss": 3.264977339196205, "test_loss": 0.9550964650424087, "test_acc1": 77.62000256835937, "test_acc5": 93.95400270111084, "epoch": 166, "n_parameters": 24060776} +{"train_lr": 0.0008390650970174776, "train_loss": 3.2760128929376604, "test_loss": 0.9665662359227153, "test_acc1": 77.58600280578614, "test_acc5": 94.04400263427735, "epoch": 167, "n_parameters": 24060776} +{"train_lr": 0.0008288006833820217, "train_loss": 3.273647622013092, "test_loss": 0.9600481292342439, "test_acc1": 77.5160024560547, "test_acc5": 94.0800025756836, "epoch": 168, "n_parameters": 24060776} +{"train_lr": 0.0008185555919871931, "train_loss": 3.2614001895189286, "test_loss": 0.9752604218528551, "test_acc1": 77.59600257415771, "test_acc5": 94.05400249450683, "epoch": 169, "n_parameters": 24060776} +{"train_lr": 0.0008083309463227669, "train_loss": 3.2544484308719634, "test_loss": 0.95275148354909, "test_acc1": 77.80200251037597, "test_acc5": 94.026002210083, "epoch": 170, "n_parameters": 24060776} +{"train_lr": 0.0007981278676363329, "train_loss": 3.256652809739113, "test_loss": 0.9301182000952608, "test_acc1": 77.72600236785888, "test_acc5": 94.12000233856202, "epoch": 171, "n_parameters": 24060776} +{"train_lr": 0.000787947474810435, "train_loss": 3.2533969632864, "test_loss": 0.9429285456152523, "test_acc1": 77.74600251800537, "test_acc5": 94.03200240783691, "epoch": 172, "n_parameters": 24060776} +{"train_lr": 0.000777790884239903, "train_loss": 3.2360725125312806, "test_loss": 0.9364173230441177, "test_acc1": 77.8980025466919, "test_acc5": 94.15800250915527, "epoch": 173, "n_parameters": 24060776} +{"train_lr": 0.0007676592097093228, "train_loss": 3.241344998216629, "test_loss": 0.9427708867279923, "test_acc1": 77.73600264373779, "test_acc5": 94.2380024835205, "epoch": 174, "n_parameters": 24060776} +{"train_lr": 0.0007575535622709732, "train_loss": 3.238805597805977, "test_loss": 0.9472836913431392, "test_acc1": 77.89200235656739, "test_acc5": 94.35200269561767, "epoch": 175, "n_parameters": 24060776} +{"train_lr": 0.0007474750501230004, "train_loss": 3.2299133148193357, "test_loss": 0.9611094317892018, "test_acc1": 77.86600240661622, "test_acc5": 94.190002315979, "epoch": 176, "n_parameters": 24060776} +{"train_lr": 0.0007374247784878152, "train_loss": 3.229068300175667, "test_loss": 0.9291485635673299, "test_acc1": 77.8780025479126, "test_acc5": 94.28400234954835, "epoch": 177, "n_parameters": 24060776} +{"train_lr": 0.0007274038494909776, "train_loss": 3.2256946609497072, "test_loss": 0.9189043340875822, "test_acc1": 77.91800216369629, "test_acc5": 94.23600242218018, "epoch": 178, "n_parameters": 24060776} +{"train_lr": 0.0007174133620402438, "train_loss": 3.2183942447185516, "test_loss": 0.9384088590741158, "test_acc1": 77.96200249542237, "test_acc5": 94.32200288757325, "epoch": 179, "n_parameters": 24060776} +{"train_lr": 0.0007074544117051817, "train_loss": 3.218274015212059, "test_loss": 0.9233401509768823, "test_acc1": 78.15200258575439, "test_acc5": 94.34800235290527, "epoch": 180, "n_parameters": 24060776} +{"train_lr": 0.0006975280905969228, "train_loss": 3.220000801372528, "test_loss": 0.9407864020151251, "test_acc1": 78.30400269348145, "test_acc5": 94.31800248443604, "epoch": 181, "n_parameters": 24060776} +{"train_lr": 0.0006876354872484249, "train_loss": 3.21998771750927, "test_loss": 0.9417335248607046, "test_acc1": 78.18600238128663, "test_acc5": 94.23400238128661, "epoch": 182, "n_parameters": 24060776} +{"train_lr": 0.0006777776864951158, "train_loss": 3.212000329113007, "test_loss": 0.9416200102252119, "test_acc1": 78.30800277801514, "test_acc5": 94.43400261413574, "epoch": 183, "n_parameters": 24060776} +{"train_lr": 0.0006679557693559266, "train_loss": 3.2038716550827027, "test_loss": 0.9187625460326672, "test_acc1": 78.18400229156494, "test_acc5": 94.34600243896485, "epoch": 184, "n_parameters": 24060776} +{"train_lr": 0.0006581708129148005, "train_loss": 3.1808424550533294, "test_loss": 0.9150933912571739, "test_acc1": 78.42000215515137, "test_acc5": 94.44200275451661, "epoch": 185, "n_parameters": 24060776} +{"train_lr": 0.0006484238902024218, "train_loss": 3.1933316382169723, "test_loss": 0.9193186468499548, "test_acc1": 78.21400234191894, "test_acc5": 94.29600294952392, "epoch": 186, "n_parameters": 24060776} +{"train_lr": 0.0006387160700787467, "train_loss": 3.187587259864807, "test_loss": 0.9367338975562769, "test_acc1": 78.4080025692749, "test_acc5": 94.41400222167968, "epoch": 187, "n_parameters": 24060776} +{"train_lr": 0.0006290484171156273, "train_loss": 3.1720391634702683, "test_loss": 0.9106168755713631, "test_acc1": 78.61000249572754, "test_acc5": 94.4480024533081, "epoch": 188, "n_parameters": 24060776} +{"train_lr": 0.0006194219914801667, "train_loss": 3.1721621601581576, "test_loss": 0.9002739804632524, "test_acc1": 78.63200262451171, "test_acc5": 94.49000270996093, "epoch": 189, "n_parameters": 24060776} +{"train_lr": 0.0006098378488184019, "train_loss": 3.1811760423898696, "test_loss": 0.8978411765659556, "test_acc1": 78.7200027609253, "test_acc5": 94.51200264038086, "epoch": 190, "n_parameters": 24060776} +{"train_lr": 0.0006002970401395845, "train_loss": 3.166376214528084, "test_loss": 0.9016197507872301, "test_acc1": 78.66400244293213, "test_acc5": 94.52200234680176, "epoch": 191, "n_parameters": 24060776} +{"train_lr": 0.0005908006117009099, "train_loss": 3.1584978595256805, "test_loss": 0.9003823051119552, "test_acc1": 78.60000202789307, "test_acc5": 94.4740023751831, "epoch": 192, "n_parameters": 24060776} +{"train_lr": 0.0005813496048927555, "train_loss": 3.1656769963741302, "test_loss": 0.9072828507598709, "test_acc1": 78.61000254394531, "test_acc5": 94.474002684021, "epoch": 193, "n_parameters": 24060776} +{"train_lr": 0.0005719450561245304, "train_loss": 3.144218593072891, "test_loss": 0.900764509158976, "test_acc1": 78.82000295013428, "test_acc5": 94.5360021899414, "epoch": 194, "n_parameters": 24060776} +{"train_lr": 0.0005625879967109951, "train_loss": 3.152846536898613, "test_loss": 0.9189461877240854, "test_acc1": 78.72000266601563, "test_acc5": 94.63200267089844, "epoch": 195, "n_parameters": 24060776} +{"train_lr": 0.0005532794527591455, "train_loss": 3.1482469337701797, "test_loss": 0.9002039989127832, "test_acc1": 78.85800264404297, "test_acc5": 94.634002711792, "epoch": 196, "n_parameters": 24060776} +{"train_lr": 0.0005440204450557438, "train_loss": 3.130870780968666, "test_loss": 0.8926739725558197, "test_acc1": 78.86800272369385, "test_acc5": 94.61600255828857, "epoch": 197, "n_parameters": 24060776} +{"train_lr": 0.0005348119889552909, "train_loss": 3.134363174819946, "test_loss": 0.8883523897213095, "test_acc1": 79.04200253631592, "test_acc5": 94.65600259613038, "epoch": 198, "n_parameters": 24060776} +{"train_lr": 0.0005256550942687902, "train_loss": 3.1395462466955184, "test_loss": 0.8947041188092792, "test_acc1": 79.05200250549316, "test_acc5": 94.6760024673462, "epoch": 199, "n_parameters": 24060776} +{"train_lr": 0.0005165507651529403, "train_loss": 3.126065637540817, "test_loss": 0.8851346270564724, "test_acc1": 79.0580024182129, "test_acc5": 94.6640026147461, "epoch": 200, "n_parameters": 24060776} +{"train_lr": 0.0005074999999999954, "train_loss": 3.125296232485771, "test_loss": 0.8795050209497705, "test_acc1": 79.25800277252198, "test_acc5": 94.6080023840332, "epoch": 201, "n_parameters": 24060776} +{"train_lr": 0.0004985037913283765, "train_loss": 3.119955390000343, "test_loss": 0.8910275244099253, "test_acc1": 79.23200260040284, "test_acc5": 94.77800233032227, "epoch": 202, "n_parameters": 24060776} +{"train_lr": 0.0004895631256737371, "train_loss": 3.106197338795662, "test_loss": 0.8920985280590898, "test_acc1": 79.02600250427245, "test_acc5": 94.79400248718262, "epoch": 203, "n_parameters": 24060776} +{"train_lr": 0.00048067898348080857, "train_loss": 3.098472245359421, "test_loss": 0.9027745241627974, "test_acc1": 79.0400023373413, "test_acc5": 94.58000271209717, "epoch": 204, "n_parameters": 24060776} +{"train_lr": 0.0004718523389958997, "train_loss": 3.100401841902733, "test_loss": 0.8944048230700633, "test_acc1": 79.19600249298095, "test_acc5": 94.77600240203857, "epoch": 205, "n_parameters": 24060776} +{"train_lr": 0.00046308416016005297, "train_loss": 3.0901590734004976, "test_loss": 0.8999445749556317, "test_acc1": 79.36800261352539, "test_acc5": 94.81200287506104, "epoch": 206, "n_parameters": 24060776} +{"train_lr": 0.0004543754085028727, "train_loss": 3.106925417661667, "test_loss": 0.8904617091312128, "test_acc1": 79.34400221130372, "test_acc5": 94.79200240753174, "epoch": 207, "n_parameters": 24060776} +{"train_lr": 0.0004457270390371328, "train_loss": 3.094316139411926, "test_loss": 0.8810186870396137, "test_acc1": 79.39000274414063, "test_acc5": 94.80000281829834, "epoch": 208, "n_parameters": 24060776} +{"train_lr": 0.00043714000015399046, "train_loss": 3.0813981845378877, "test_loss": 0.8895134463468019, "test_acc1": 79.41600240112305, "test_acc5": 94.91400274536133, "epoch": 209, "n_parameters": 24060776} +{"train_lr": 0.00042861523351903384, "train_loss": 3.072039064741135, "test_loss": 0.8731507910963368, "test_acc1": 79.51200230865479, "test_acc5": 94.81200284027099, "epoch": 210, "n_parameters": 24060776} +{"train_lr": 0.00042015367396899144, "train_loss": 3.0714364250421524, "test_loss": 0.878171054098536, "test_acc1": 79.57000245941163, "test_acc5": 94.82800266815185, "epoch": 211, "n_parameters": 24060776} +{"train_lr": 0.00041175624940920726, "train_loss": 3.0754180099964143, "test_loss": 0.8696442450232366, "test_acc1": 79.50600246826171, "test_acc5": 94.88200257293701, "epoch": 212, "n_parameters": 24060776} +{"train_lr": 0.0004034238807119345, "train_loss": 3.0747336889266967, "test_loss": 0.8819693489109769, "test_acc1": 79.5440026687622, "test_acc5": 94.83600239379882, "epoch": 213, "n_parameters": 24060776} +{"train_lr": 0.00039515748161528426, "train_loss": 3.0612225205898285, "test_loss": 0.88035943424877, "test_acc1": 79.77800260437012, "test_acc5": 94.95800252197266, "epoch": 214, "n_parameters": 24060776} +{"train_lr": 0.00038695795862308516, "train_loss": 3.0561269742012023, "test_loss": 0.8665913319324746, "test_acc1": 79.77200259399415, "test_acc5": 94.96200231933594, "epoch": 215, "n_parameters": 24060776} +{"train_lr": 0.00037882621090540883, "train_loss": 3.05366118748188, "test_loss": 0.8690012833651375, "test_acc1": 79.90000252441406, "test_acc5": 94.92800254821778, "epoch": 216, "n_parameters": 24060776} +{"train_lr": 0.0003707631302000487, "train_loss": 3.038353258252144, "test_loss": 0.8631828324321438, "test_acc1": 79.91800249176025, "test_acc5": 94.9900024420166, "epoch": 217, "n_parameters": 24060776} +{"train_lr": 0.00036276960071466473, "train_loss": 3.0437202966213226, "test_loss": 0.8529660390580401, "test_acc1": 79.91200274993896, "test_acc5": 94.9260028326416, "epoch": 218, "n_parameters": 24060776} +{"train_lr": 0.00035484649902984313, "train_loss": 3.031613042879105, "test_loss": 0.8666789952446433, "test_acc1": 79.92200257995606, "test_acc5": 95.00000268981934, "epoch": 219, "n_parameters": 24060776} +{"train_lr": 0.00034699469400296305, "train_loss": 3.0283586926937103, "test_loss": 0.8697601602796246, "test_acc1": 79.89200273345948, "test_acc5": 95.00800258117675, "epoch": 220, "n_parameters": 24060776} +{"train_lr": 0.0003392150466729394, "train_loss": 3.019726710867882, "test_loss": 0.8628966887207592, "test_acc1": 79.97800244506836, "test_acc5": 95.0020023550415, "epoch": 221, "n_parameters": 24060776} +{"train_lr": 0.00033150841016574967, "train_loss": 3.020258948302269, "test_loss": 0.8705481097978705, "test_acc1": 79.78800229827881, "test_acc5": 94.99600266174316, "epoch": 222, "n_parameters": 24060776} +{"train_lr": 0.00032387562960095584, "train_loss": 3.012513022851944, "test_loss": 0.8764134934719872, "test_acc1": 80.0000026687622, "test_acc5": 95.05800247467042, "epoch": 223, "n_parameters": 24060776} +{"train_lr": 0.0003163175419989479, "train_loss": 3.0182078927516938, "test_loss": 0.8727164502967807, "test_acc1": 79.87400292358399, "test_acc5": 95.0540025946045, "epoch": 224, "n_parameters": 24060776} +{"train_lr": 0.00030883497618919975, "train_loss": 3.0074377721071244, "test_loss": 0.841819037190255, "test_acc1": 80.15200233459473, "test_acc5": 95.08600264770507, "epoch": 225, "n_parameters": 24060776} +{"train_lr": 0.0003014287527193815, "train_loss": 3.0069603650808334, "test_loss": 0.8732913736911381, "test_acc1": 80.09800254455567, "test_acc5": 95.04400255310058, "epoch": 226, "n_parameters": 24060776} +{"train_lr": 0.0002940996837653622, "train_loss": 2.9845218938350677, "test_loss": 0.8545640448437017, "test_acc1": 80.1940022454834, "test_acc5": 95.10800250396728, "epoch": 227, "n_parameters": 24060776} +{"train_lr": 0.0002868485730421277, "train_loss": 2.995483086705208, "test_loss": 0.8600697916220216, "test_acc1": 80.01600234283447, "test_acc5": 95.10400233886719, "epoch": 228, "n_parameters": 24060776} +{"train_lr": 0.00027967621571569945, "train_loss": 2.9849375962495803, "test_loss": 0.8544248057638898, "test_acc1": 80.18000247894287, "test_acc5": 95.1800021987915, "epoch": 229, "n_parameters": 24060776} +{"train_lr": 0.00027258339831586544, "train_loss": 2.981963791513443, "test_loss": 0.8525561289313961, "test_acc1": 80.126002578125, "test_acc5": 95.16800267791749, "epoch": 230, "n_parameters": 24060776} +{"train_lr": 0.00026557089864999076, "train_loss": 2.96631218855381, "test_loss": 0.8543044545632952, "test_acc1": 80.0900026159668, "test_acc5": 95.17600255065918, "epoch": 231, "n_parameters": 24060776} +{"train_lr": 0.0002586394857176932, "train_loss": 2.9693528242349623, "test_loss": 0.8616333853672532, "test_acc1": 80.26200265625, "test_acc5": 95.13000267913819, "epoch": 232, "n_parameters": 24060776} +{"train_lr": 0.0002517899196265051, "train_loss": 2.9638435809135437, "test_loss": 0.8402463153881186, "test_acc1": 80.20400247833253, "test_acc5": 95.25000278991699, "epoch": 233, "n_parameters": 24060776} +{"train_lr": 0.00024502295150853127, "train_loss": 2.9609748278141024, "test_loss": 0.8397023975849152, "test_acc1": 80.30400268005371, "test_acc5": 95.23600228851318, "epoch": 234, "n_parameters": 24060776} +{"train_lr": 0.00023833932343808823, "train_loss": 2.9606342651844026, "test_loss": 0.8504560456118163, "test_acc1": 80.40000234680176, "test_acc5": 95.31600266479492, "epoch": 235, "n_parameters": 24060776} +{"train_lr": 0.0002317397683503114, "train_loss": 2.9558917662858963, "test_loss": 0.8292064239435336, "test_acc1": 80.44800280975342, "test_acc5": 95.26000265411378, "epoch": 236, "n_parameters": 24060776} +{"train_lr": 0.0002252250099607895, "train_loss": 2.943607214164734, "test_loss": 0.8407762331121108, "test_acc1": 80.52800278594971, "test_acc5": 95.2020027798462, "epoch": 237, "n_parameters": 24060776} +{"train_lr": 0.0002187957626861865, "train_loss": 2.9388878106117247, "test_loss": 0.8336576584945706, "test_acc1": 80.36400260742188, "test_acc5": 95.24600255004883, "epoch": 238, "n_parameters": 24060776} +{"train_lr": 0.0002124527315659233, "train_loss": 2.946609358763695, "test_loss": 0.847881252932198, "test_acc1": 80.47600266296386, "test_acc5": 95.29000262176514, "epoch": 239, "n_parameters": 24060776} +{"train_lr": 0.00020619661218483946, "train_loss": 2.9278485444545748, "test_loss": 0.8423126416609568, "test_acc1": 80.54800243713379, "test_acc5": 95.34400219940186, "epoch": 240, "n_parameters": 24060776} +{"train_lr": 0.00020002809059692627, "train_loss": 2.9187043276309965, "test_loss": 0.8219769851249807, "test_acc1": 80.4840029650879, "test_acc5": 95.30600276824951, "epoch": 241, "n_parameters": 24060776} +{"train_lr": 0.0001939478432500911, "train_loss": 2.918836178159714, "test_loss": 0.836823001065675, "test_acc1": 80.65800231445313, "test_acc5": 95.3660023059082, "epoch": 242, "n_parameters": 24060776} +{"train_lr": 0.00018795653691196305, "train_loss": 2.9182490132331846, "test_loss": 0.8434529501725646, "test_acc1": 80.52200280029297, "test_acc5": 95.34800267333985, "epoch": 243, "n_parameters": 24060776} +{"train_lr": 0.00018205482859681336, "train_loss": 2.9110545082092285, "test_loss": 0.8189707052181748, "test_acc1": 80.77000234039306, "test_acc5": 95.38600258117675, "epoch": 244, "n_parameters": 24060776} +{"train_lr": 0.00017624336549345047, "train_loss": 2.9116110360860823, "test_loss": 0.8316237492596402, "test_acc1": 80.7000024093628, "test_acc5": 95.32800259796143, "epoch": 245, "n_parameters": 24060776} +{"train_lr": 0.0001705227848943048, "train_loss": 2.9146506293773653, "test_loss": 0.8379285852698719, "test_acc1": 80.80400251556397, "test_acc5": 95.34000248901367, "epoch": 246, "n_parameters": 24060776} +{"train_lr": 0.0001648937141254942, "train_loss": 2.9048231374025346, "test_loss": 0.8408584110438824, "test_acc1": 80.93600271911622, "test_acc5": 95.40000241607666, "epoch": 247, "n_parameters": 24060776} +{"train_lr": 0.0001593567704780698, "train_loss": 2.9026106625795363, "test_loss": 0.8154307890902547, "test_acc1": 80.8960026574707, "test_acc5": 95.48200261566163, "epoch": 248, "n_parameters": 24060776} +{"train_lr": 0.00015391256114029412, "train_loss": 2.8830550323963164, "test_loss": 0.8333286423893536, "test_acc1": 80.89000252441406, "test_acc5": 95.40800259887695, "epoch": 249, "n_parameters": 24060776} +{"train_lr": 0.00014856168313107535, "train_loss": 2.880414491176605, "test_loss": 0.8350836595191675, "test_acc1": 80.9340028112793, "test_acc5": 95.47600236694336, "epoch": 250, "n_parameters": 24060776} +{"train_lr": 0.00014330472323448315, "train_loss": 2.878919529056549, "test_loss": 0.833154686671846, "test_acc1": 80.90200283325196, "test_acc5": 95.39600258453369, "epoch": 251, "n_parameters": 24060776} +{"train_lr": 0.00013814225793541218, "train_loss": 2.8811123349666596, "test_loss": 0.8273740724167403, "test_acc1": 80.83000250366212, "test_acc5": 95.38800259002686, "epoch": 252, "n_parameters": 24060776} +{"train_lr": 0.000133074853356355, "train_loss": 2.8697035060405733, "test_loss": 0.8276435699971283, "test_acc1": 80.98000288360596, "test_acc5": 95.40400288024902, "epoch": 253, "n_parameters": 24060776} +{"train_lr": 0.00012810306519533426, "train_loss": 2.8670979648113253, "test_loss": 0.8250237072215361, "test_acc1": 80.98200270263672, "test_acc5": 95.54000238677979, "epoch": 254, "n_parameters": 24060776} +{"train_lr": 0.00012322743866494126, "train_loss": 2.8542771920919416, "test_loss": 0.8303943951340282, "test_acc1": 80.9560027053833, "test_acc5": 95.47000255096435, "epoch": 255, "n_parameters": 24060776} +{"train_lr": 0.00011844850843257506, "train_loss": 2.864520172548294, "test_loss": 0.8280702700071475, "test_acc1": 80.93400243377685, "test_acc5": 95.41400240081786, "epoch": 256, "n_parameters": 24060776} +{"train_lr": 0.00011376679856178596, "train_loss": 2.862439610362053, "test_loss": 0.8301513911608387, "test_acc1": 81.07200242767334, "test_acc5": 95.45200237487794, "epoch": 257, "n_parameters": 24060776} +{"train_lr": 0.0001091828224548179, "train_loss": 2.8537634061813355, "test_loss": 0.8204226493835449, "test_acc1": 81.17000242858887, "test_acc5": 95.4300026425171, "epoch": 258, "n_parameters": 24060776} +{"train_lr": 0.00010469708279631187, "train_loss": 2.8473184254169466, "test_loss": 0.8240030287381481, "test_acc1": 81.00800257385254, "test_acc5": 95.34400241333007, "epoch": 259, "n_parameters": 24060776} +{"train_lr": 0.00010031007149816745, "train_loss": 2.842755315160751, "test_loss": 0.8128790478495991, "test_acc1": 81.28200261566163, "test_acc5": 95.46400242156983, "epoch": 260, "n_parameters": 24060776} +{"train_lr": 9.602226964561254e-05, "train_loss": 2.845309993457794, "test_loss": 0.8167048578753191, "test_acc1": 81.02000259033203, "test_acc5": 95.44000244384766, "epoch": 261, "n_parameters": 24060776} +{"train_lr": 9.183414744443804e-05, "train_loss": 2.8381990250349043, "test_loss": 0.8160290853942141, "test_acc1": 81.2100023425293, "test_acc5": 95.4700026699829, "epoch": 262, "n_parameters": 24060776} +{"train_lr": 8.774616416944161e-05, "train_loss": 2.8334290157794952, "test_loss": 0.8286989828681245, "test_acc1": 81.18800270507812, "test_acc5": 95.44800258392334, "epoch": 263, "n_parameters": 24060776} +{"train_lr": 8.375876811405484e-05, "train_loss": 2.8277579992055895, "test_loss": 0.8196257284897215, "test_acc1": 81.09600237335205, "test_acc5": 95.45000262908935, "epoch": 264, "n_parameters": 24060776} +{"train_lr": 7.987239654119033e-05, "train_loss": 2.8253798643350603, "test_loss": 0.8147216189433547, "test_acc1": 81.21400260467529, "test_acc5": 95.49800246948242, "epoch": 265, "n_parameters": 24060776} +{"train_lr": 7.608747563528375e-05, "train_loss": 2.824576048827171, "test_loss": 0.821716824436889, "test_acc1": 81.27600224822999, "test_acc5": 95.47200267883301, "epoch": 266, "n_parameters": 24060776} +{"train_lr": 7.240442045556889e-05, "train_loss": 2.820016126847267, "test_loss": 0.8189947896582239, "test_acc1": 81.23000253570557, "test_acc5": 95.48200277313232, "epoch": 267, "n_parameters": 24060776} +{"train_lr": 6.88236348905455e-05, "train_loss": 2.8187417609453203, "test_loss": 0.8090296889490941, "test_acc1": 81.49000247161865, "test_acc5": 95.45600252807617, "epoch": 268, "n_parameters": 24060776} +{"train_lr": 6.534551161370628e-05, "train_loss": 2.8178020955324175, "test_loss": 0.8197507919634089, "test_acc1": 81.33600238555908, "test_acc5": 95.40400206787109, "epoch": 269, "n_parameters": 24060776} +{"train_lr": 6.197043204046255e-05, "train_loss": 2.807006762957573, "test_loss": 0.8176866239484619, "test_acc1": 81.42800254577637, "test_acc5": 95.49400275695801, "epoch": 270, "n_parameters": 24060776} +{"train_lr": 5.869876628632201e-05, "train_loss": 2.809258086323738, "test_loss": 0.8129003166275865, "test_acc1": 81.40400257202148, "test_acc5": 95.48800263153076, "epoch": 271, "n_parameters": 24060776} +{"train_lr": 5.553087312630486e-05, "train_loss": 2.8105907876968383, "test_loss": 0.8082634247839451, "test_acc1": 81.49200239349365, "test_acc5": 95.4900024746704, "epoch": 272, "n_parameters": 24060776} +{"train_lr": 5.246709995559292e-05, "train_loss": 2.795059554672241, "test_loss": 0.8137025280910379, "test_acc1": 81.53200277893066, "test_acc5": 95.49600241394043, "epoch": 273, "n_parameters": 24060776} +{"train_lr": 4.950778275144144e-05, "train_loss": 2.8055140311956404, "test_loss": 0.804922720307813, "test_acc1": 81.43800234313964, "test_acc5": 95.52000247253417, "epoch": 274, "n_parameters": 24060776} +{"train_lr": 4.665324603633065e-05, "train_loss": 2.796932457947731, "test_loss": 0.8103134853436667, "test_acc1": 81.45800245697022, "test_acc5": 95.48800229614258, "epoch": 275, "n_parameters": 24060776} +{"train_lr": 4.390380284237726e-05, "train_loss": 2.7920364512205125, "test_loss": 0.8038489406599718, "test_acc1": 81.55200251281738, "test_acc5": 95.57000243896485, "epoch": 276, "n_parameters": 24060776} +{"train_lr": 4.125975467701264e-05, "train_loss": 2.7965817031383513, "test_loss": 0.8091704630676437, "test_acc1": 81.47600232330322, "test_acc5": 95.58000268676757, "epoch": 277, "n_parameters": 24060776} +{"train_lr": 3.8721391489911965e-05, "train_loss": 2.787618724370003, "test_loss": 0.8064430910436546, "test_acc1": 81.60000263397217, "test_acc5": 95.57400265045166, "epoch": 278, "n_parameters": 24060776} +{"train_lr": 3.6288991641205554e-05, "train_loss": 2.7859528262376787, "test_loss": 0.80842956593808, "test_acc1": 81.60600242370606, "test_acc5": 95.54000263092041, "epoch": 279, "n_parameters": 24060776} +{"train_lr": 3.396282187094605e-05, "train_loss": 2.777036713552475, "test_loss": 0.8059425744063714, "test_acc1": 81.56200243530273, "test_acc5": 95.56400270385743, "epoch": 280, "n_parameters": 24060776} +{"train_lr": 3.174313726986316e-05, "train_loss": 2.789255880188942, "test_loss": 0.8026300830876126, "test_acc1": 81.58000234832764, "test_acc5": 95.59000253051758, "epoch": 281, "n_parameters": 24060776} +{"train_lr": 2.963018125138695e-05, "train_loss": 2.775496594762802, "test_loss": 0.8056243546307087, "test_acc1": 81.68400262786865, "test_acc5": 95.61000236358643, "epoch": 282, "n_parameters": 24060776} +{"train_lr": 2.7624185524954915e-05, "train_loss": 2.7896703963041305, "test_loss": 0.8027533897582222, "test_acc1": 81.65400256317139, "test_acc5": 95.57400278778076, "epoch": 283, "n_parameters": 24060776} +{"train_lr": 2.5725370070604652e-05, "train_loss": 2.774821921038628, "test_loss": 0.8063219158964998, "test_acc1": 81.58800262176514, "test_acc5": 95.59600272033691, "epoch": 284, "n_parameters": 24060776} +{"train_lr": 2.393394311484729e-05, "train_loss": 2.7789762519598007, "test_loss": 0.8088402031537365, "test_acc1": 81.64000234832764, "test_acc5": 95.62200253936767, "epoch": 285, "n_parameters": 24060776} +{"train_lr": 2.2250101107838334e-05, "train_loss": 2.7715589011907578, "test_loss": 0.808197332874817, "test_acc1": 81.60400275054931, "test_acc5": 95.58200255615235, "epoch": 286, "n_parameters": 24060776} +{"train_lr": 2.06740287018269e-05, "train_loss": 2.768552319145203, "test_loss": 0.8054358122103354, "test_acc1": 81.61400236785889, "test_acc5": 95.58400241333008, "epoch": 287, "n_parameters": 24060776} +{"train_lr": 1.92058987309138e-05, "train_loss": 2.7635644399404526, "test_loss": 0.8005899059421876, "test_acc1": 81.6900024822998, "test_acc5": 95.62200241607665, "epoch": 288, "n_parameters": 24060776} +{"train_lr": 1.7845872192094728e-05, "train_loss": 2.761073026108742, "test_loss": 0.803644057144137, "test_acc1": 81.70200268646241, "test_acc5": 95.58800253997802, "epoch": 289, "n_parameters": 24060776} +{"train_lr": 1.6594098227605466e-05, "train_loss": 2.758269049358368, "test_loss": 0.8015671994756249, "test_acc1": 81.70000239074707, "test_acc5": 95.63200230834961, "epoch": 290, "n_parameters": 24060776} +{"train_lr": 1.5450714108568132e-05, "train_loss": 2.7564584510803223, "test_loss": 0.8022194053320324, "test_acc1": 81.72200266082764, "test_acc5": 95.62400254821777, "epoch": 291, "n_parameters": 24060776} +{"train_lr": 1.4415845219935372e-05, "train_loss": 2.762967523050308, "test_loss": 0.8062686133472359, "test_acc1": 81.61800262176514, "test_acc5": 95.63200219116212, "epoch": 292, "n_parameters": 24060776} +{"train_lr": 1.3489605046743062e-05, "train_loss": 2.764797756958008, "test_loss": 0.805767062394058, "test_acc1": 81.68200225952148, "test_acc5": 95.6400023110962, "epoch": 293, "n_parameters": 24060776} +{"train_lr": 1.2672095161664185e-05, "train_loss": 2.7643114861011506, "test_loss": 0.8052986601696295, "test_acc1": 81.66000237335206, "test_acc5": 95.60200242553711, "epoch": 294, "n_parameters": 24060776} +{"train_lr": 1.1963405213869702e-05, "train_loss": 2.7642894030570986, "test_loss": 0.8025043966139064, "test_acc1": 81.67800243774414, "test_acc5": 95.63000202880859, "epoch": 295, "n_parameters": 24060776} +{"train_lr": 1.1363612919199186e-05, "train_loss": 2.7690227617263794, "test_loss": 0.8036964529139154, "test_acc1": 81.64200253479004, "test_acc5": 95.60400217163085, "epoch": 296, "n_parameters": 24060776} +{"train_lr": 1.0872784051635796e-05, "train_loss": 2.773742348456383, "test_loss": 0.8047800311709151, "test_acc1": 81.70200266601563, "test_acc5": 95.61000226043701, "epoch": 297, "n_parameters": 24060776} +{"train_lr": 1.0490972436097076e-05, "train_loss": 2.7592815829992294, "test_loss": 0.8042832371943137, "test_acc1": 81.66800291717529, "test_acc5": 95.59800250305176, "epoch": 298, "n_parameters": 24060776} +{"train_lr": 1.0218219942528794e-05, "train_loss": 2.754021850514412, "test_loss": 0.8030264671234524, "test_acc1": 81.7120023260498, "test_acc5": 95.63800244781494, "epoch": 299, "n_parameters": 24060776} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt new file mode 100644 index 000000000..83b9f529e --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt @@ -0,0 +1,3201 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.1\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+1fcc2d5", "seed": null, "exp_name": "upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 14203, "data_time": 0.0079, "decode.loss_seg": 4.01131, "decode.acc_seg": 0.52405, "aux.loss_seg": 1.61605, "aux.acc_seg": 0.27129, "loss": 5.62736, "time": 0.63636} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 14203, "data_time": 0.00654, "decode.loss_seg": 3.94939, "decode.acc_seg": 4.75949, "aux.loss_seg": 1.61635, "aux.acc_seg": 0.43757, "loss": 5.56574, "time": 0.54956} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 3.76211, "decode.acc_seg": 19.68972, "aux.loss_seg": 1.59752, "aux.acc_seg": 1.30197, "loss": 5.35963, "time": 0.55853} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 14203, "data_time": 0.00696, "decode.loss_seg": 3.45062, "decode.acc_seg": 33.00079, "aux.loss_seg": 1.59977, "aux.acc_seg": 8.00955, "loss": 5.05039, "time": 0.54534} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 14203, "data_time": 0.00649, "decode.loss_seg": 3.08169, "decode.acc_seg": 38.55763, "aux.loss_seg": 1.56266, "aux.acc_seg": 27.00087, "loss": 4.64435, "time": 0.54955} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 14203, "data_time": 0.0066, "decode.loss_seg": 2.7207, "decode.acc_seg": 41.69225, "aux.loss_seg": 1.46556, "aux.acc_seg": 36.83134, "loss": 4.18626, "time": 0.55116} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 14203, "data_time": 0.00671, "decode.loss_seg": 2.51577, "decode.acc_seg": 43.58666, "aux.loss_seg": 1.38869, "aux.acc_seg": 39.61468, "loss": 3.90447, "time": 0.53662} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 14203, "data_time": 0.00712, "decode.loss_seg": 2.45258, "decode.acc_seg": 44.51177, "aux.loss_seg": 1.36688, "aux.acc_seg": 40.15449, "loss": 3.81946, "time": 0.5556} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 2.21295, "decode.acc_seg": 45.55087, "aux.loss_seg": 1.27211, "aux.acc_seg": 40.88446, "loss": 3.48506, "time": 0.55726} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 1.99875, "decode.acc_seg": 47.53386, "aux.loss_seg": 1.17685, "aux.acc_seg": 42.75451, "loss": 3.17559, "time": 0.54471} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 14203, "data_time": 0.00658, "decode.loss_seg": 2.01579, "decode.acc_seg": 47.49516, "aux.loss_seg": 1.16719, "aux.acc_seg": 42.74053, "loss": 3.18299, "time": 0.54814} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 1.79294, "decode.acc_seg": 49.26724, "aux.loss_seg": 1.07241, "aux.acc_seg": 44.70097, "loss": 2.86535, "time": 0.52253} +{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 14203, "data_time": 0.00662, "decode.loss_seg": 1.79003, "decode.acc_seg": 49.41865, "aux.loss_seg": 1.06349, "aux.acc_seg": 44.04789, "loss": 2.85352, "time": 0.54564} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 14203, "data_time": 0.00701, "decode.loss_seg": 1.66853, "decode.acc_seg": 48.05151, "aux.loss_seg": 0.98077, "aux.acc_seg": 43.09572, "loss": 2.64929, "time": 0.53383} +{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 14203, "data_time": 0.00651, "decode.loss_seg": 1.62511, "decode.acc_seg": 51.19364, "aux.loss_seg": 0.97853, "aux.acc_seg": 45.72162, "loss": 2.60365, "time": 0.54182} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 14203, "data_time": 0.00672, "decode.loss_seg": 1.6266, "decode.acc_seg": 50.36017, "aux.loss_seg": 0.95314, "aux.acc_seg": 45.03153, "loss": 2.57973, "time": 0.5234} +{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 1.53019, "decode.acc_seg": 50.26314, "aux.loss_seg": 0.88502, "aux.acc_seg": 45.27302, "loss": 2.41521, "time": 0.53991} +{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 14203, "data_time": 0.0071, "decode.loss_seg": 1.51311, "decode.acc_seg": 50.55113, "aux.loss_seg": 0.87621, "aux.acc_seg": 44.54715, "loss": 2.38932, "time": 0.53946} +{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 14203, "data_time": 0.00658, "decode.loss_seg": 1.388, "decode.acc_seg": 49.48342, "aux.loss_seg": 0.79456, "aux.acc_seg": 44.06615, "loss": 2.18256, "time": 0.51535} +{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 14203, "data_time": 0.00654, "decode.loss_seg": 1.39874, "decode.acc_seg": 51.87297, "aux.loss_seg": 0.79269, "aux.acc_seg": 46.4326, "loss": 2.19143, "time": 0.52689} +{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 1.3795, "decode.acc_seg": 51.69279, "aux.loss_seg": 0.76659, "aux.acc_seg": 45.72416, "loss": 2.14609, "time": 0.54638} +{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 14203, "data_time": 0.00653, "decode.loss_seg": 1.37962, "decode.acc_seg": 51.57735, "aux.loss_seg": 0.75749, "aux.acc_seg": 46.7841, "loss": 2.13711, "time": 0.55936} +{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 14203, "data_time": 0.00674, "decode.loss_seg": 1.31079, "decode.acc_seg": 51.63113, "aux.loss_seg": 0.71201, "aux.acc_seg": 47.07912, "loss": 2.02279, "time": 0.53819} +{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 1.30479, "decode.acc_seg": 52.83892, "aux.loss_seg": 0.70029, "aux.acc_seg": 47.33756, "loss": 2.00508, "time": 0.52294} +{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 14203, "data_time": 0.00624, "decode.loss_seg": 1.28513, "decode.acc_seg": 51.47787, "aux.loss_seg": 0.67504, "aux.acc_seg": 46.58954, "loss": 1.96017, "time": 0.52394} +{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 14203, "data_time": 0.23955, "decode.loss_seg": 1.16908, "decode.acc_seg": 54.21351, "aux.loss_seg": 0.63079, "aux.acc_seg": 49.89093, "loss": 1.79987, "time": 0.75064} +{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 14203, "data_time": 0.00662, "decode.loss_seg": 1.23699, "decode.acc_seg": 53.73764, "aux.loss_seg": 0.64567, "aux.acc_seg": 49.55709, "loss": 1.88266, "time": 0.52064} +{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 14203, "data_time": 0.0064, "decode.loss_seg": 1.18148, "decode.acc_seg": 52.50552, "aux.loss_seg": 0.61586, "aux.acc_seg": 48.48164, "loss": 1.79734, "time": 0.53583} +{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 14203, "data_time": 0.00634, "decode.loss_seg": 1.14891, "decode.acc_seg": 53.09053, "aux.loss_seg": 0.59389, "aux.acc_seg": 49.27061, "loss": 1.7428, "time": 0.53335} +{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 14203, "data_time": 0.00711, "decode.loss_seg": 1.19178, "decode.acc_seg": 54.0122, "aux.loss_seg": 0.60948, "aux.acc_seg": 50.03115, "loss": 1.80126, "time": 0.55392} +{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 14203, "data_time": 0.00628, "decode.loss_seg": 1.13765, "decode.acc_seg": 54.01989, "aux.loss_seg": 0.58792, "aux.acc_seg": 50.12396, "loss": 1.72557, "time": 0.54626} +{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 14203, "data_time": 0.00688, "decode.loss_seg": 1.14597, "decode.acc_seg": 54.77428, "aux.loss_seg": 0.58632, "aux.acc_seg": 51.30026, "loss": 1.73229, "time": 0.55308} +{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 14203, "data_time": 0.00665, "decode.loss_seg": 1.11213, "decode.acc_seg": 54.53321, "aux.loss_seg": 0.56042, "aux.acc_seg": 51.55258, "loss": 1.67255, "time": 0.54083} +{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 1.1239, "decode.acc_seg": 53.14993, "aux.loss_seg": 0.56496, "aux.acc_seg": 49.51628, "loss": 1.68886, "time": 0.55772} +{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 1.0855, "decode.acc_seg": 53.9702, "aux.loss_seg": 0.54628, "aux.acc_seg": 50.47501, "loss": 1.63178, "time": 0.54648} +{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 14203, "data_time": 0.00662, "decode.loss_seg": 1.09145, "decode.acc_seg": 55.0534, "aux.loss_seg": 0.5419, "aux.acc_seg": 52.33309, "loss": 1.63335, "time": 0.52072} +{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 1.03772, "decode.acc_seg": 55.12786, "aux.loss_seg": 0.52664, "aux.acc_seg": 52.34717, "loss": 1.56436, "time": 0.52489} +{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 1.07707, "decode.acc_seg": 54.22046, "aux.loss_seg": 0.54305, "aux.acc_seg": 50.90633, "loss": 1.62012, "time": 0.52054} +{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 14203, "data_time": 0.00663, "decode.loss_seg": 1.03259, "decode.acc_seg": 56.22309, "aux.loss_seg": 0.5261, "aux.acc_seg": 52.94911, "loss": 1.55869, "time": 0.52062} +{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 1.00622, "decode.acc_seg": 55.13685, "aux.loss_seg": 0.50873, "aux.acc_seg": 52.16433, "loss": 1.51495, "time": 0.51557} +{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.98222, "decode.acc_seg": 55.75413, "aux.loss_seg": 0.50095, "aux.acc_seg": 52.62438, "loss": 1.48316, "time": 0.51963} +{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 14203, "data_time": 0.00667, "decode.loss_seg": 1.00509, "decode.acc_seg": 54.92038, "aux.loss_seg": 0.50263, "aux.acc_seg": 51.93392, "loss": 1.50772, "time": 0.52325} +{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 14203, "data_time": 0.00682, "decode.loss_seg": 1.02514, "decode.acc_seg": 53.9538, "aux.loss_seg": 0.51491, "aux.acc_seg": 51.16601, "loss": 1.54005, "time": 0.52612} +{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 14203, "data_time": 0.00742, "decode.loss_seg": 0.9617, "decode.acc_seg": 56.93784, "aux.loss_seg": 0.48754, "aux.acc_seg": 53.58394, "loss": 1.44924, "time": 0.5436} +{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.91355, "decode.acc_seg": 56.00517, "aux.loss_seg": 0.46655, "aux.acc_seg": 52.2069, "loss": 1.3801, "time": 0.52558} +{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.9026, "decode.acc_seg": 56.77764, "aux.loss_seg": 0.45285, "aux.acc_seg": 54.23528, "loss": 1.35544, "time": 0.53723} +{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 14203, "data_time": 0.00687, "decode.loss_seg": 0.95476, "decode.acc_seg": 55.92888, "aux.loss_seg": 0.47759, "aux.acc_seg": 53.13063, "loss": 1.43235, "time": 0.53608} +{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.94307, "decode.acc_seg": 56.99851, "aux.loss_seg": 0.46217, "aux.acc_seg": 53.86768, "loss": 1.40525, "time": 0.53665} +{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 0.92993, "decode.acc_seg": 57.80378, "aux.loss_seg": 0.46238, "aux.acc_seg": 54.93487, "loss": 1.39231, "time": 0.53728} +{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 14203, "data_time": 0.0067, "decode.loss_seg": 0.97892, "decode.acc_seg": 56.05828, "aux.loss_seg": 0.4836, "aux.acc_seg": 52.94449, "loss": 1.46253, "time": 0.51884} +{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 14203, "data_time": 0.23449, "decode.loss_seg": 0.90675, "decode.acc_seg": 57.64337, "aux.loss_seg": 0.46152, "aux.acc_seg": 54.06071, "loss": 1.36827, "time": 0.75223} +{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 14203, "data_time": 0.00619, "decode.loss_seg": 0.89718, "decode.acc_seg": 57.94414, "aux.loss_seg": 0.46661, "aux.acc_seg": 53.98762, "loss": 1.36379, "time": 0.53806} +{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 14203, "data_time": 0.00719, "decode.loss_seg": 0.89137, "decode.acc_seg": 57.41703, "aux.loss_seg": 0.44975, "aux.acc_seg": 53.97223, "loss": 1.34112, "time": 0.53218} +{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 14203, "data_time": 0.00697, "decode.loss_seg": 0.9171, "decode.acc_seg": 57.62015, "aux.loss_seg": 0.46445, "aux.acc_seg": 54.26384, "loss": 1.38155, "time": 0.52488} +{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 14203, "data_time": 0.00716, "decode.loss_seg": 0.89604, "decode.acc_seg": 56.08899, "aux.loss_seg": 0.45281, "aux.acc_seg": 52.89978, "loss": 1.34884, "time": 0.5419} +{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.85169, "decode.acc_seg": 58.60316, "aux.loss_seg": 0.42657, "aux.acc_seg": 55.79715, "loss": 1.27827, "time": 0.52136} +{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 14203, "data_time": 0.00748, "decode.loss_seg": 0.86349, "decode.acc_seg": 57.51563, "aux.loss_seg": 0.43484, "aux.acc_seg": 54.73619, "loss": 1.29833, "time": 0.52655} +{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 14203, "data_time": 0.00731, "decode.loss_seg": 0.91069, "decode.acc_seg": 55.31096, "aux.loss_seg": 0.45165, "aux.acc_seg": 52.26617, "loss": 1.36233, "time": 0.53563} +{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.8642, "decode.acc_seg": 58.51612, "aux.loss_seg": 0.43583, "aux.acc_seg": 55.49657, "loss": 1.30002, "time": 0.52481} +{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 14203, "data_time": 0.00798, "decode.loss_seg": 0.86245, "decode.acc_seg": 59.54291, "aux.loss_seg": 0.43491, "aux.acc_seg": 56.7141, "loss": 1.29736, "time": 0.55413} +{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 14203, "data_time": 0.00786, "decode.loss_seg": 0.87619, "decode.acc_seg": 57.12768, "aux.loss_seg": 0.44504, "aux.acc_seg": 53.46718, "loss": 1.32123, "time": 0.53149} +{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 14203, "data_time": 0.00721, "decode.loss_seg": 0.8299, "decode.acc_seg": 58.32887, "aux.loss_seg": 0.42089, "aux.acc_seg": 55.36873, "loss": 1.25079, "time": 0.5241} +{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 14203, "data_time": 0.00778, "decode.loss_seg": 0.87108, "decode.acc_seg": 58.46061, "aux.loss_seg": 0.43634, "aux.acc_seg": 55.39801, "loss": 1.30741, "time": 0.53262} +{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.7989, "decode.acc_seg": 57.2711, "aux.loss_seg": 0.40012, "aux.acc_seg": 54.43148, "loss": 1.19902, "time": 0.51461} +{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 14203, "data_time": 0.00744, "decode.loss_seg": 0.8098, "decode.acc_seg": 57.87987, "aux.loss_seg": 0.40798, "aux.acc_seg": 54.92637, "loss": 1.21778, "time": 0.53177} +{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 14203, "data_time": 0.00802, "decode.loss_seg": 0.82828, "decode.acc_seg": 58.73943, "aux.loss_seg": 0.41517, "aux.acc_seg": 55.12318, "loss": 1.24346, "time": 0.52185} +{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 14203, "data_time": 0.00797, "decode.loss_seg": 0.76965, "decode.acc_seg": 59.81477, "aux.loss_seg": 0.38652, "aux.acc_seg": 56.67771, "loss": 1.15617, "time": 0.53031} +{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 14203, "data_time": 0.00773, "decode.loss_seg": 0.81628, "decode.acc_seg": 58.63312, "aux.loss_seg": 0.40631, "aux.acc_seg": 55.55871, "loss": 1.22259, "time": 0.52871} +{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 14203, "data_time": 0.00712, "decode.loss_seg": 0.81664, "decode.acc_seg": 59.96377, "aux.loss_seg": 0.41138, "aux.acc_seg": 56.61932, "loss": 1.22802, "time": 0.51883} +{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.82727, "decode.acc_seg": 58.37023, "aux.loss_seg": 0.4069, "aux.acc_seg": 55.3414, "loss": 1.23417, "time": 0.55679} +{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 14203, "data_time": 0.00774, "decode.loss_seg": 0.80945, "decode.acc_seg": 59.21752, "aux.loss_seg": 0.40833, "aux.acc_seg": 55.83171, "loss": 1.21777, "time": 0.52901} +{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.78532, "decode.acc_seg": 59.12657, "aux.loss_seg": 0.39261, "aux.acc_seg": 55.99172, "loss": 1.17793, "time": 0.52365} +{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.83411, "decode.acc_seg": 58.66786, "aux.loss_seg": 0.41001, "aux.acc_seg": 55.99726, "loss": 1.24411, "time": 0.53064} +{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 14203, "data_time": 0.00797, "decode.loss_seg": 0.79796, "decode.acc_seg": 57.59968, "aux.loss_seg": 0.4017, "aux.acc_seg": 54.47364, "loss": 1.19965, "time": 0.53454} +{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 14203, "data_time": 0.00764, "decode.loss_seg": 0.82519, "decode.acc_seg": 58.02642, "aux.loss_seg": 0.40864, "aux.acc_seg": 55.14408, "loss": 1.23382, "time": 0.54085} +{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 14203, "data_time": 0.24578, "decode.loss_seg": 0.7701, "decode.acc_seg": 59.4468, "aux.loss_seg": 0.38296, "aux.acc_seg": 56.21753, "loss": 1.15306, "time": 0.77764} +{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 14203, "data_time": 0.00676, "decode.loss_seg": 0.76392, "decode.acc_seg": 60.00761, "aux.loss_seg": 0.38913, "aux.acc_seg": 56.72688, "loss": 1.15305, "time": 0.53734} +{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 14203, "data_time": 0.00672, "decode.loss_seg": 0.74202, "decode.acc_seg": 59.57932, "aux.loss_seg": 0.3757, "aux.acc_seg": 56.33204, "loss": 1.11772, "time": 0.53507} +{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 14203, "data_time": 0.00684, "decode.loss_seg": 0.77162, "decode.acc_seg": 58.26114, "aux.loss_seg": 0.37976, "aux.acc_seg": 55.26156, "loss": 1.15138, "time": 0.51996} +{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 14203, "data_time": 0.00682, "decode.loss_seg": 0.76876, "decode.acc_seg": 58.78277, "aux.loss_seg": 0.38498, "aux.acc_seg": 56.08738, "loss": 1.15373, "time": 0.52372} +{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 14203, "data_time": 0.00683, "decode.loss_seg": 0.76161, "decode.acc_seg": 59.65397, "aux.loss_seg": 0.37533, "aux.acc_seg": 56.60805, "loss": 1.13694, "time": 0.52791} +{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.76075, "decode.acc_seg": 59.76841, "aux.loss_seg": 0.37815, "aux.acc_seg": 56.99979, "loss": 1.1389, "time": 0.54188} +{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 0.77195, "decode.acc_seg": 58.80813, "aux.loss_seg": 0.38362, "aux.acc_seg": 55.77066, "loss": 1.15557, "time": 0.52084} +{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.75966, "decode.acc_seg": 60.48225, "aux.loss_seg": 0.38314, "aux.acc_seg": 56.89636, "loss": 1.1428, "time": 0.51217} +{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 0.74642, "decode.acc_seg": 60.94261, "aux.loss_seg": 0.37406, "aux.acc_seg": 57.88833, "loss": 1.12048, "time": 0.5274} +{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.75562, "decode.acc_seg": 59.04449, "aux.loss_seg": 0.37458, "aux.acc_seg": 56.14161, "loss": 1.1302, "time": 0.51845} +{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.75868, "decode.acc_seg": 59.42758, "aux.loss_seg": 0.37472, "aux.acc_seg": 56.79047, "loss": 1.1334, "time": 0.51898} +{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 14203, "data_time": 0.00701, "decode.loss_seg": 0.74945, "decode.acc_seg": 61.2563, "aux.loss_seg": 0.38279, "aux.acc_seg": 57.41991, "loss": 1.13224, "time": 0.53699} +{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 14203, "data_time": 0.00773, "decode.loss_seg": 0.75854, "decode.acc_seg": 58.31595, "aux.loss_seg": 0.36763, "aux.acc_seg": 55.6278, "loss": 1.12616, "time": 0.52705} +{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 14203, "data_time": 0.00704, "decode.loss_seg": 0.72054, "decode.acc_seg": 61.10337, "aux.loss_seg": 0.36023, "aux.acc_seg": 58.19426, "loss": 1.08077, "time": 0.5259} +{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.77298, "decode.acc_seg": 60.47338, "aux.loss_seg": 0.38478, "aux.acc_seg": 57.40691, "loss": 1.15776, "time": 0.5529} +{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 14203, "data_time": 0.00757, "decode.loss_seg": 0.74306, "decode.acc_seg": 58.82682, "aux.loss_seg": 0.36927, "aux.acc_seg": 55.59284, "loss": 1.11233, "time": 0.54283} +{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.8085, "decode.acc_seg": 59.62369, "aux.loss_seg": 0.39048, "aux.acc_seg": 56.65193, "loss": 1.19898, "time": 0.52103} +{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 14203, "data_time": 0.0073, "decode.loss_seg": 0.71422, "decode.acc_seg": 60.73198, "aux.loss_seg": 0.35045, "aux.acc_seg": 58.10418, "loss": 1.06466, "time": 0.55212} +{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 14203, "data_time": 0.00756, "decode.loss_seg": 0.78748, "decode.acc_seg": 59.40806, "aux.loss_seg": 0.37759, "aux.acc_seg": 56.94017, "loss": 1.16507, "time": 0.54608} +{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 14203, "data_time": 0.00741, "decode.loss_seg": 0.7483, "decode.acc_seg": 60.07824, "aux.loss_seg": 0.35583, "aux.acc_seg": 57.7959, "loss": 1.10412, "time": 0.54386} +{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 14203, "data_time": 0.00777, "decode.loss_seg": 0.73331, "decode.acc_seg": 61.54124, "aux.loss_seg": 0.35857, "aux.acc_seg": 58.72192, "loss": 1.09188, "time": 0.52457} +{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 14203, "data_time": 0.00713, "decode.loss_seg": 0.75498, "decode.acc_seg": 59.22841, "aux.loss_seg": 0.36648, "aux.acc_seg": 56.59628, "loss": 1.12146, "time": 0.52097} +{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 14203, "data_time": 0.00775, "decode.loss_seg": 0.71064, "decode.acc_seg": 60.28756, "aux.loss_seg": 0.35715, "aux.acc_seg": 56.73432, "loss": 1.06778, "time": 0.52039} +{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.76044, "decode.acc_seg": 60.14811, "aux.loss_seg": 0.36307, "aux.acc_seg": 57.91948, "loss": 1.12351, "time": 0.51812} +{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.74507, "decode.acc_seg": 60.01169, "aux.loss_seg": 0.36549, "aux.acc_seg": 57.38803, "loss": 1.11056, "time": 0.53337} +{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 14203, "data_time": 0.23961, "decode.loss_seg": 0.67403, "decode.acc_seg": 59.62996, "aux.loss_seg": 0.33822, "aux.acc_seg": 56.67635, "loss": 1.01224, "time": 0.77657} +{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.70828, "decode.acc_seg": 61.36677, "aux.loss_seg": 0.35297, "aux.acc_seg": 58.16503, "loss": 1.06125, "time": 0.52018} +{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.70118, "decode.acc_seg": 61.43654, "aux.loss_seg": 0.34269, "aux.acc_seg": 58.52409, "loss": 1.04387, "time": 0.51608} +{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 14203, "data_time": 0.00719, "decode.loss_seg": 0.74815, "decode.acc_seg": 59.50431, "aux.loss_seg": 0.37075, "aux.acc_seg": 56.48001, "loss": 1.1189, "time": 0.52198} +{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.67586, "decode.acc_seg": 61.41817, "aux.loss_seg": 0.3323, "aux.acc_seg": 58.9036, "loss": 1.00816, "time": 0.51645} +{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.71261, "decode.acc_seg": 61.97501, "aux.loss_seg": 0.35017, "aux.acc_seg": 58.7208, "loss": 1.06277, "time": 0.51309} +{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 0.68209, "decode.acc_seg": 62.18183, "aux.loss_seg": 0.34077, "aux.acc_seg": 59.01594, "loss": 1.02286, "time": 0.55037} +{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 14203, "data_time": 0.00777, "decode.loss_seg": 0.69545, "decode.acc_seg": 60.77668, "aux.loss_seg": 0.34067, "aux.acc_seg": 57.7351, "loss": 1.03612, "time": 0.55038} +{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.70883, "decode.acc_seg": 61.41768, "aux.loss_seg": 0.34183, "aux.acc_seg": 59.06772, "loss": 1.05066, "time": 0.52601} +{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 14203, "data_time": 0.00748, "decode.loss_seg": 0.68998, "decode.acc_seg": 60.80267, "aux.loss_seg": 0.33641, "aux.acc_seg": 58.21012, "loss": 1.02639, "time": 0.5298} +{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 14203, "data_time": 0.00782, "decode.loss_seg": 0.69486, "decode.acc_seg": 60.54436, "aux.loss_seg": 0.33633, "aux.acc_seg": 58.40023, "loss": 1.03119, "time": 0.52552} +{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 14203, "data_time": 0.00731, "decode.loss_seg": 0.67777, "decode.acc_seg": 61.67099, "aux.loss_seg": 0.32978, "aux.acc_seg": 59.24729, "loss": 1.00755, "time": 0.51295} +{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.6805, "decode.acc_seg": 62.76495, "aux.loss_seg": 0.32759, "aux.acc_seg": 60.21549, "loss": 1.00808, "time": 0.52748} +{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.74277, "decode.acc_seg": 59.79948, "aux.loss_seg": 0.35393, "aux.acc_seg": 56.93632, "loss": 1.0967, "time": 0.52428} +{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 14203, "data_time": 0.00721, "decode.loss_seg": 0.69516, "decode.acc_seg": 60.7798, "aux.loss_seg": 0.33159, "aux.acc_seg": 58.58683, "loss": 1.02675, "time": 0.51493} +{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 14203, "data_time": 0.00724, "decode.loss_seg": 0.70451, "decode.acc_seg": 60.67456, "aux.loss_seg": 0.33477, "aux.acc_seg": 58.26425, "loss": 1.03928, "time": 0.51363} +{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 14203, "data_time": 0.00731, "decode.loss_seg": 0.72261, "decode.acc_seg": 59.97789, "aux.loss_seg": 0.33797, "aux.acc_seg": 57.54463, "loss": 1.06058, "time": 0.53325} +{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 14203, "data_time": 0.00783, "decode.loss_seg": 0.67489, "decode.acc_seg": 60.55562, "aux.loss_seg": 0.32294, "aux.acc_seg": 58.07109, "loss": 0.99783, "time": 0.54725} +{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 14203, "data_time": 0.00775, "decode.loss_seg": 0.68189, "decode.acc_seg": 62.13246, "aux.loss_seg": 0.33147, "aux.acc_seg": 59.23243, "loss": 1.01336, "time": 0.53846} +{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 14203, "data_time": 0.00726, "decode.loss_seg": 0.67715, "decode.acc_seg": 61.54982, "aux.loss_seg": 0.32374, "aux.acc_seg": 59.44872, "loss": 1.00089, "time": 0.52003} +{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.70664, "decode.acc_seg": 59.48969, "aux.loss_seg": 0.33607, "aux.acc_seg": 57.47909, "loss": 1.04271, "time": 0.52002} +{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.69332, "decode.acc_seg": 60.45268, "aux.loss_seg": 0.325, "aux.acc_seg": 58.34722, "loss": 1.01832, "time": 0.52236} +{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.67199, "decode.acc_seg": 60.57831, "aux.loss_seg": 0.31735, "aux.acc_seg": 58.48453, "loss": 0.98934, "time": 0.52681} +{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 14203, "data_time": 0.00737, "decode.loss_seg": 0.68388, "decode.acc_seg": 59.70003, "aux.loss_seg": 0.32335, "aux.acc_seg": 57.57339, "loss": 1.00724, "time": 0.52225} +{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 14203, "data_time": 0.00719, "decode.loss_seg": 0.69139, "decode.acc_seg": 61.49791, "aux.loss_seg": 0.32677, "aux.acc_seg": 59.36102, "loss": 1.01816, "time": 0.52383} +{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 14203, "data_time": 0.22406, "decode.loss_seg": 0.6586, "decode.acc_seg": 62.34193, "aux.loss_seg": 0.31572, "aux.acc_seg": 59.88983, "loss": 0.97432, "time": 0.73995} +{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 14203, "data_time": 0.00693, "decode.loss_seg": 0.65462, "decode.acc_seg": 61.37437, "aux.loss_seg": 0.31509, "aux.acc_seg": 58.90769, "loss": 0.96972, "time": 0.50861} +{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.63259, "decode.acc_seg": 62.2406, "aux.loss_seg": 0.30076, "aux.acc_seg": 60.41411, "loss": 0.93335, "time": 0.51582} +{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 14203, "data_time": 0.00707, "decode.loss_seg": 0.67041, "decode.acc_seg": 60.30243, "aux.loss_seg": 0.31758, "aux.acc_seg": 58.01407, "loss": 0.98799, "time": 0.5114} +{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 14203, "data_time": 0.00703, "decode.loss_seg": 0.62417, "decode.acc_seg": 64.14252, "aux.loss_seg": 0.30403, "aux.acc_seg": 61.59804, "loss": 0.92821, "time": 0.51461} +{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 14203, "data_time": 0.00762, "decode.loss_seg": 0.68156, "decode.acc_seg": 61.58632, "aux.loss_seg": 0.32875, "aux.acc_seg": 59.04891, "loss": 1.0103, "time": 0.51775} +{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 14203, "data_time": 0.00704, "decode.loss_seg": 0.63437, "decode.acc_seg": 62.49178, "aux.loss_seg": 0.30078, "aux.acc_seg": 60.3538, "loss": 0.93515, "time": 0.52327} +{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 14203, "data_time": 0.00763, "decode.loss_seg": 0.64037, "decode.acc_seg": 60.41956, "aux.loss_seg": 0.31178, "aux.acc_seg": 57.83187, "loss": 0.95215, "time": 0.51818} +{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.70001, "decode.acc_seg": 62.05274, "aux.loss_seg": 0.32712, "aux.acc_seg": 60.33677, "loss": 1.02713, "time": 0.51795} +{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.64361, "decode.acc_seg": 62.48022, "aux.loss_seg": 0.30924, "aux.acc_seg": 60.05271, "loss": 0.95285, "time": 0.54672} +{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.66699, "decode.acc_seg": 62.12824, "aux.loss_seg": 0.31698, "aux.acc_seg": 59.73276, "loss": 0.98397, "time": 0.51231} +{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 14203, "data_time": 0.00694, "decode.loss_seg": 0.64706, "decode.acc_seg": 61.08962, "aux.loss_seg": 0.30499, "aux.acc_seg": 58.89979, "loss": 0.95205, "time": 0.53688} +{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 14203, "data_time": 0.00693, "decode.loss_seg": 0.66601, "decode.acc_seg": 61.67495, "aux.loss_seg": 0.3137, "aux.acc_seg": 59.59745, "loss": 0.9797, "time": 0.51071} +{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.66362, "decode.acc_seg": 62.10921, "aux.loss_seg": 0.31122, "aux.acc_seg": 60.12256, "loss": 0.97484, "time": 0.51354} +{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 14203, "data_time": 0.00702, "decode.loss_seg": 0.66057, "decode.acc_seg": 61.60801, "aux.loss_seg": 0.31299, "aux.acc_seg": 59.69415, "loss": 0.97356, "time": 0.51368} +{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 14203, "data_time": 0.00764, "decode.loss_seg": 0.64957, "decode.acc_seg": 62.37757, "aux.loss_seg": 0.30721, "aux.acc_seg": 60.35325, "loss": 0.95679, "time": 0.51262} +{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.66919, "decode.acc_seg": 61.62308, "aux.loss_seg": 0.31892, "aux.acc_seg": 59.2077, "loss": 0.98811, "time": 0.51249} +{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 0.64453, "decode.acc_seg": 62.41957, "aux.loss_seg": 0.30767, "aux.acc_seg": 60.1628, "loss": 0.9522, "time": 0.51857} +{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 14203, "data_time": 0.00708, "decode.loss_seg": 0.64002, "decode.acc_seg": 61.17236, "aux.loss_seg": 0.29911, "aux.acc_seg": 59.13192, "loss": 0.93913, "time": 0.53194} +{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 14203, "data_time": 0.00713, "decode.loss_seg": 0.64118, "decode.acc_seg": 61.97536, "aux.loss_seg": 0.3013, "aux.acc_seg": 59.99195, "loss": 0.94248, "time": 0.53965} +{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 14203, "data_time": 0.00776, "decode.loss_seg": 0.64795, "decode.acc_seg": 62.2482, "aux.loss_seg": 0.31022, "aux.acc_seg": 60.13676, "loss": 0.95817, "time": 0.55444} +{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 14203, "data_time": 0.00749, "decode.loss_seg": 0.63299, "decode.acc_seg": 61.62332, "aux.loss_seg": 0.2993, "aux.acc_seg": 59.48606, "loss": 0.93229, "time": 0.55293} +{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 14203, "data_time": 0.00761, "decode.loss_seg": 0.67968, "decode.acc_seg": 60.97848, "aux.loss_seg": 0.3105, "aux.acc_seg": 58.97963, "loss": 0.99018, "time": 0.55042} +{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.65788, "decode.acc_seg": 61.52279, "aux.loss_seg": 0.31458, "aux.acc_seg": 59.31492, "loss": 0.97246, "time": 0.54164} +{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 14203, "data_time": 0.00779, "decode.loss_seg": 0.65039, "decode.acc_seg": 62.93461, "aux.loss_seg": 0.30675, "aux.acc_seg": 60.78389, "loss": 0.95713, "time": 0.54906} +{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 14203, "data_time": 0.23773, "decode.loss_seg": 0.61995, "decode.acc_seg": 61.79391, "aux.loss_seg": 0.29288, "aux.acc_seg": 59.68119, "loss": 0.91283, "time": 0.75291} +{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 14203, "data_time": 0.00698, "decode.loss_seg": 0.62888, "decode.acc_seg": 63.4666, "aux.loss_seg": 0.30393, "aux.acc_seg": 60.80208, "loss": 0.93282, "time": 0.51197} +{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 14203, "data_time": 0.00703, "decode.loss_seg": 0.62249, "decode.acc_seg": 62.23169, "aux.loss_seg": 0.29093, "aux.acc_seg": 59.96782, "loss": 0.91342, "time": 0.53579} +{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 14203, "data_time": 0.00746, "decode.loss_seg": 0.62036, "decode.acc_seg": 61.03195, "aux.loss_seg": 0.29098, "aux.acc_seg": 59.56708, "loss": 0.91134, "time": 0.5394} +{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 14203, "data_time": 0.0078, "decode.loss_seg": 0.63223, "decode.acc_seg": 62.27343, "aux.loss_seg": 0.29824, "aux.acc_seg": 59.88872, "loss": 0.93048, "time": 0.55254} +{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 14203, "data_time": 0.00745, "decode.loss_seg": 0.60263, "decode.acc_seg": 64.05298, "aux.loss_seg": 0.2861, "aux.acc_seg": 62.01298, "loss": 0.88872, "time": 0.54787} +{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 14203, "data_time": 0.00742, "decode.loss_seg": 0.63348, "decode.acc_seg": 62.57278, "aux.loss_seg": 0.29784, "aux.acc_seg": 60.67188, "loss": 0.93132, "time": 0.51936} +{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 14203, "data_time": 0.00699, "decode.loss_seg": 0.57596, "decode.acc_seg": 63.50513, "aux.loss_seg": 0.27569, "aux.acc_seg": 61.33904, "loss": 0.85165, "time": 0.51571} +{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.62145, "decode.acc_seg": 62.17868, "aux.loss_seg": 0.29194, "aux.acc_seg": 60.14537, "loss": 0.91339, "time": 0.52326} +{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.63304, "decode.acc_seg": 62.0817, "aux.loss_seg": 0.2961, "aux.acc_seg": 60.28521, "loss": 0.92914, "time": 0.52097} +{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.61172, "decode.acc_seg": 61.59936, "aux.loss_seg": 0.28858, "aux.acc_seg": 59.90364, "loss": 0.9003, "time": 0.53015} +{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 14203, "data_time": 0.00776, "decode.loss_seg": 0.63858, "decode.acc_seg": 61.91989, "aux.loss_seg": 0.29449, "aux.acc_seg": 60.20388, "loss": 0.93307, "time": 0.54502} +{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 14203, "data_time": 0.00759, "decode.loss_seg": 0.58799, "decode.acc_seg": 59.86516, "aux.loss_seg": 0.27498, "aux.acc_seg": 58.2643, "loss": 0.86297, "time": 0.52301} +{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 14203, "data_time": 0.00767, "decode.loss_seg": 0.58713, "decode.acc_seg": 63.46286, "aux.loss_seg": 0.2778, "aux.acc_seg": 61.47218, "loss": 0.86493, "time": 0.51764} +{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.61734, "decode.acc_seg": 63.08731, "aux.loss_seg": 0.29046, "aux.acc_seg": 61.04908, "loss": 0.9078, "time": 0.51427} +{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.60451, "decode.acc_seg": 62.0683, "aux.loss_seg": 0.28407, "aux.acc_seg": 60.18796, "loss": 0.88858, "time": 0.51854} +{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 14203, "data_time": 0.00704, "decode.loss_seg": 0.6311, "decode.acc_seg": 62.39142, "aux.loss_seg": 0.29804, "aux.acc_seg": 60.29786, "loss": 0.92914, "time": 0.52212} +{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 14203, "data_time": 0.00756, "decode.loss_seg": 0.65224, "decode.acc_seg": 63.70005, "aux.loss_seg": 0.30519, "aux.acc_seg": 61.4392, "loss": 0.95743, "time": 0.54727} +{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 14203, "data_time": 0.00777, "decode.loss_seg": 0.64103, "decode.acc_seg": 62.04671, "aux.loss_seg": 0.29554, "aux.acc_seg": 60.07279, "loss": 0.93656, "time": 0.53562} +{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 0.66677, "decode.acc_seg": 59.83007, "aux.loss_seg": 0.30799, "aux.acc_seg": 58.21466, "loss": 0.97476, "time": 0.53203} +{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 14203, "data_time": 0.0071, "decode.loss_seg": 0.66008, "decode.acc_seg": 62.19508, "aux.loss_seg": 0.3032, "aux.acc_seg": 60.55276, "loss": 0.96329, "time": 0.51352} +{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.66147, "decode.acc_seg": 62.77903, "aux.loss_seg": 0.31605, "aux.acc_seg": 60.24759, "loss": 0.97753, "time": 0.53559} +{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.64949, "decode.acc_seg": 63.05002, "aux.loss_seg": 0.29736, "aux.acc_seg": 61.16038, "loss": 0.94686, "time": 0.51785} +{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 14203, "data_time": 0.00723, "decode.loss_seg": 0.64326, "decode.acc_seg": 63.68514, "aux.loss_seg": 0.30225, "aux.acc_seg": 61.52019, "loss": 0.94552, "time": 0.51792} +{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 14203, "data_time": 0.00716, "decode.loss_seg": 0.59618, "decode.acc_seg": 62.89869, "aux.loss_seg": 0.28177, "aux.acc_seg": 60.98495, "loss": 0.87796, "time": 0.51034} +{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 14203, "data_time": 0.23199, "decode.loss_seg": 0.62676, "decode.acc_seg": 62.55671, "aux.loss_seg": 0.29269, "aux.acc_seg": 60.41615, "loss": 0.91945, "time": 0.77007} +{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.56677, "decode.acc_seg": 63.62347, "aux.loss_seg": 0.26898, "aux.acc_seg": 61.31813, "loss": 0.83575, "time": 0.53632} +{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 14203, "data_time": 0.00806, "decode.loss_seg": 0.61399, "decode.acc_seg": 63.91067, "aux.loss_seg": 0.29231, "aux.acc_seg": 61.9402, "loss": 0.9063, "time": 0.51946} +{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 14203, "data_time": 0.0081, "decode.loss_seg": 0.55978, "decode.acc_seg": 64.43039, "aux.loss_seg": 0.26505, "aux.acc_seg": 62.38909, "loss": 0.82483, "time": 0.54966} +{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 14203, "data_time": 0.00799, "decode.loss_seg": 0.56629, "decode.acc_seg": 63.08542, "aux.loss_seg": 0.2719, "aux.acc_seg": 60.90013, "loss": 0.8382, "time": 0.53817} +{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 14203, "data_time": 0.00809, "decode.loss_seg": 0.59237, "decode.acc_seg": 64.62284, "aux.loss_seg": 0.28083, "aux.acc_seg": 62.51886, "loss": 0.8732, "time": 0.52441} +{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 14203, "data_time": 0.00735, "decode.loss_seg": 0.58495, "decode.acc_seg": 64.66649, "aux.loss_seg": 0.27713, "aux.acc_seg": 62.58765, "loss": 0.86209, "time": 0.51919} +{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 14203, "data_time": 0.00743, "decode.loss_seg": 0.57587, "decode.acc_seg": 65.21377, "aux.loss_seg": 0.27403, "aux.acc_seg": 63.21281, "loss": 0.8499, "time": 0.52964} +{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 14203, "data_time": 0.00805, "decode.loss_seg": 0.59722, "decode.acc_seg": 62.81878, "aux.loss_seg": 0.28264, "aux.acc_seg": 60.36366, "loss": 0.87987, "time": 0.5278} +{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 14203, "data_time": 0.00771, "decode.loss_seg": 0.57136, "decode.acc_seg": 63.1653, "aux.loss_seg": 0.2671, "aux.acc_seg": 61.15438, "loss": 0.83846, "time": 0.52856} +{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.57089, "decode.acc_seg": 63.87199, "aux.loss_seg": 0.27361, "aux.acc_seg": 61.48515, "loss": 0.8445, "time": 0.51945} +{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.57668, "decode.acc_seg": 61.94255, "aux.loss_seg": 0.26553, "aux.acc_seg": 60.6443, "loss": 0.84221, "time": 0.5206} +{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 14203, "data_time": 0.00821, "decode.loss_seg": 0.62316, "decode.acc_seg": 62.90112, "aux.loss_seg": 0.28298, "aux.acc_seg": 61.30076, "loss": 0.90614, "time": 0.55469} +{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 14203, "data_time": 0.00799, "decode.loss_seg": 0.58777, "decode.acc_seg": 64.99668, "aux.loss_seg": 0.28051, "aux.acc_seg": 62.4949, "loss": 0.86828, "time": 0.53173} +{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 14203, "data_time": 0.00785, "decode.loss_seg": 0.55354, "decode.acc_seg": 63.91334, "aux.loss_seg": 0.26423, "aux.acc_seg": 61.81381, "loss": 0.81777, "time": 0.51976} +{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.6117, "decode.acc_seg": 63.21607, "aux.loss_seg": 0.28492, "aux.acc_seg": 61.18151, "loss": 0.89663, "time": 0.5411} +{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.57127, "decode.acc_seg": 63.00678, "aux.loss_seg": 0.26228, "aux.acc_seg": 61.47661, "loss": 0.83355, "time": 0.52882} +{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 14203, "data_time": 0.00781, "decode.loss_seg": 0.61303, "decode.acc_seg": 64.4038, "aux.loss_seg": 0.28268, "aux.acc_seg": 62.67773, "loss": 0.89572, "time": 0.52965} +{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 14203, "data_time": 0.00757, "decode.loss_seg": 0.5897, "decode.acc_seg": 62.39509, "aux.loss_seg": 0.27358, "aux.acc_seg": 60.88719, "loss": 0.86328, "time": 0.54633} +{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 14203, "data_time": 0.00683, "decode.loss_seg": 0.59897, "decode.acc_seg": 61.92751, "aux.loss_seg": 0.27887, "aux.acc_seg": 59.97664, "loss": 0.87784, "time": 0.51264} +{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 14203, "data_time": 0.00671, "decode.loss_seg": 0.57586, "decode.acc_seg": 62.31668, "aux.loss_seg": 0.26311, "aux.acc_seg": 60.8172, "loss": 0.83897, "time": 0.51449} +{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 14203, "data_time": 0.00688, "decode.loss_seg": 0.59182, "decode.acc_seg": 63.20119, "aux.loss_seg": 0.27688, "aux.acc_seg": 60.96059, "loss": 0.8687, "time": 0.5163} +{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 14203, "data_time": 0.00769, "decode.loss_seg": 0.57361, "decode.acc_seg": 63.70535, "aux.loss_seg": 0.26719, "aux.acc_seg": 62.05555, "loss": 0.8408, "time": 0.53516} +{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.63465, "decode.acc_seg": 61.65203, "aux.loss_seg": 0.29598, "aux.acc_seg": 59.81396, "loss": 0.93063, "time": 0.53225} +{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 14203, "data_time": 0.00696, "decode.loss_seg": 0.58621, "decode.acc_seg": 63.03666, "aux.loss_seg": 0.27349, "aux.acc_seg": 61.33386, "loss": 0.8597, "time": 0.51772} +{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 14203, "data_time": 0.00699, "decode.loss_seg": 0.58154, "decode.acc_seg": 62.8774, "aux.loss_seg": 0.26731, "aux.acc_seg": 61.15027, "loss": 0.84884, "time": 0.52979} +{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 14203, "data_time": 0.25144, "decode.loss_seg": 0.57656, "decode.acc_seg": 62.87383, "aux.loss_seg": 0.27012, "aux.acc_seg": 60.95508, "loss": 0.84669, "time": 0.78448} +{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 14203, "data_time": 0.00682, "decode.loss_seg": 0.55789, "decode.acc_seg": 64.46619, "aux.loss_seg": 0.26534, "aux.acc_seg": 62.26454, "loss": 0.82323, "time": 0.51829} +{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 0.55355, "decode.acc_seg": 64.29542, "aux.loss_seg": 0.25932, "aux.acc_seg": 62.37052, "loss": 0.81287, "time": 0.52504} +{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 14203, "data_time": 0.00676, "decode.loss_seg": 0.58861, "decode.acc_seg": 62.43955, "aux.loss_seg": 0.27233, "aux.acc_seg": 60.90092, "loss": 0.86094, "time": 0.55059} +{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 14203, "data_time": 0.00754, "decode.loss_seg": 0.58118, "decode.acc_seg": 63.51692, "aux.loss_seg": 0.26828, "aux.acc_seg": 61.55359, "loss": 0.84946, "time": 0.53598} +{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.5646, "decode.acc_seg": 63.80551, "aux.loss_seg": 0.26495, "aux.acc_seg": 61.80484, "loss": 0.82955, "time": 0.52264} +{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.55343, "decode.acc_seg": 63.45849, "aux.loss_seg": 0.259, "aux.acc_seg": 61.37869, "loss": 0.81243, "time": 0.51724} +{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 14203, "data_time": 0.00693, "decode.loss_seg": 0.60349, "decode.acc_seg": 62.34989, "aux.loss_seg": 0.28451, "aux.acc_seg": 60.58615, "loss": 0.888, "time": 0.5407} +{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 14203, "data_time": 0.0075, "decode.loss_seg": 0.58995, "decode.acc_seg": 63.04286, "aux.loss_seg": 0.27694, "aux.acc_seg": 61.30789, "loss": 0.86689, "time": 0.54324} +{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 14203, "data_time": 0.00779, "decode.loss_seg": 0.54128, "decode.acc_seg": 65.89424, "aux.loss_seg": 0.25806, "aux.acc_seg": 63.73761, "loss": 0.79934, "time": 0.53949} +{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.56448, "decode.acc_seg": 63.48479, "aux.loss_seg": 0.26353, "aux.acc_seg": 61.34151, "loss": 0.82801, "time": 0.5153} +{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 14203, "data_time": 0.00746, "decode.loss_seg": 0.54888, "decode.acc_seg": 63.97692, "aux.loss_seg": 0.26131, "aux.acc_seg": 62.1359, "loss": 0.8102, "time": 0.51811} +{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 14203, "data_time": 0.00694, "decode.loss_seg": 0.57666, "decode.acc_seg": 63.6256, "aux.loss_seg": 0.27384, "aux.acc_seg": 61.51864, "loss": 0.8505, "time": 0.52795} +{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 14203, "data_time": 0.00723, "decode.loss_seg": 0.56158, "decode.acc_seg": 63.01368, "aux.loss_seg": 0.2601, "aux.acc_seg": 61.39563, "loss": 0.82168, "time": 0.512} +{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 14203, "data_time": 0.00702, "decode.loss_seg": 0.57718, "decode.acc_seg": 62.32864, "aux.loss_seg": 0.26229, "aux.acc_seg": 60.97884, "loss": 0.83947, "time": 0.52044} +{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 14203, "data_time": 0.00669, "decode.loss_seg": 0.5564, "decode.acc_seg": 64.48432, "aux.loss_seg": 0.25761, "aux.acc_seg": 62.84686, "loss": 0.81401, "time": 0.51808} +{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 14203, "data_time": 0.00684, "decode.loss_seg": 0.56417, "decode.acc_seg": 63.402, "aux.loss_seg": 0.26696, "aux.acc_seg": 61.18208, "loss": 0.83112, "time": 0.52005} +{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.58705, "decode.acc_seg": 63.66097, "aux.loss_seg": 0.2742, "aux.acc_seg": 61.70943, "loss": 0.86125, "time": 0.5165} +{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 14203, "data_time": 0.00724, "decode.loss_seg": 0.55507, "decode.acc_seg": 65.57609, "aux.loss_seg": 0.26099, "aux.acc_seg": 63.52173, "loss": 0.81606, "time": 0.51809} +{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 14203, "data_time": 0.00736, "decode.loss_seg": 0.61442, "decode.acc_seg": 64.37058, "aux.loss_seg": 0.28169, "aux.acc_seg": 62.51088, "loss": 0.8961, "time": 0.52074} +{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 14203, "data_time": 0.00738, "decode.loss_seg": 0.58272, "decode.acc_seg": 62.50604, "aux.loss_seg": 0.26761, "aux.acc_seg": 60.89627, "loss": 0.85033, "time": 0.52405} +{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.54377, "decode.acc_seg": 63.84813, "aux.loss_seg": 0.25494, "aux.acc_seg": 62.30601, "loss": 0.7987, "time": 0.52782} +{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.55257, "decode.acc_seg": 63.74184, "aux.loss_seg": 0.26205, "aux.acc_seg": 61.87607, "loss": 0.81462, "time": 0.52099} +{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 14203, "data_time": 0.00764, "decode.loss_seg": 0.56599, "decode.acc_seg": 63.98504, "aux.loss_seg": 0.26048, "aux.acc_seg": 62.20573, "loss": 0.82647, "time": 0.54409} +{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.57417, "decode.acc_seg": 64.15579, "aux.loss_seg": 0.26849, "aux.acc_seg": 62.47761, "loss": 0.84266, "time": 0.51885} +{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 14203, "data_time": 0.23766, "decode.loss_seg": 0.57169, "decode.acc_seg": 63.98571, "aux.loss_seg": 0.26688, "aux.acc_seg": 62.50832, "loss": 0.83857, "time": 0.75148} +{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.54018, "decode.acc_seg": 64.81872, "aux.loss_seg": 0.25092, "aux.acc_seg": 63.03177, "loss": 0.7911, "time": 0.5155} +{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 14203, "data_time": 0.00671, "decode.loss_seg": 0.538, "decode.acc_seg": 64.16295, "aux.loss_seg": 0.25495, "aux.acc_seg": 61.98969, "loss": 0.79295, "time": 0.51654} +{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 14203, "data_time": 0.00733, "decode.loss_seg": 0.56651, "decode.acc_seg": 63.10916, "aux.loss_seg": 0.26799, "aux.acc_seg": 61.02833, "loss": 0.8345, "time": 0.54459} +{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 14203, "data_time": 0.00738, "decode.loss_seg": 0.52276, "decode.acc_seg": 63.87861, "aux.loss_seg": 0.24786, "aux.acc_seg": 61.851, "loss": 0.77062, "time": 0.53474} +{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 14203, "data_time": 0.00748, "decode.loss_seg": 0.52349, "decode.acc_seg": 65.12969, "aux.loss_seg": 0.24849, "aux.acc_seg": 63.16317, "loss": 0.77198, "time": 0.5433} +{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 14203, "data_time": 0.00785, "decode.loss_seg": 0.5473, "decode.acc_seg": 65.05914, "aux.loss_seg": 0.25836, "aux.acc_seg": 63.11316, "loss": 0.80566, "time": 0.51984} +{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 14203, "data_time": 0.00735, "decode.loss_seg": 0.58674, "decode.acc_seg": 63.98081, "aux.loss_seg": 0.27146, "aux.acc_seg": 62.12806, "loss": 0.8582, "time": 0.52763} +{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.52396, "decode.acc_seg": 64.5257, "aux.loss_seg": 0.24603, "aux.acc_seg": 62.58724, "loss": 0.76999, "time": 0.52185} +{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 14203, "data_time": 0.00675, "decode.loss_seg": 0.53784, "decode.acc_seg": 65.29723, "aux.loss_seg": 0.2559, "aux.acc_seg": 63.16244, "loss": 0.79374, "time": 0.51726} +{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.53739, "decode.acc_seg": 64.15527, "aux.loss_seg": 0.25107, "aux.acc_seg": 62.51229, "loss": 0.78846, "time": 0.53954} +{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.53615, "decode.acc_seg": 65.20848, "aux.loss_seg": 0.25521, "aux.acc_seg": 62.89897, "loss": 0.79137, "time": 0.54305} +{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 14203, "data_time": 0.00742, "decode.loss_seg": 0.52695, "decode.acc_seg": 64.07729, "aux.loss_seg": 0.24711, "aux.acc_seg": 62.19248, "loss": 0.77407, "time": 0.52672} +{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 14203, "data_time": 0.00694, "decode.loss_seg": 0.56475, "decode.acc_seg": 63.79816, "aux.loss_seg": 0.26404, "aux.acc_seg": 61.76094, "loss": 0.82879, "time": 0.5179} +{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 14203, "data_time": 0.00699, "decode.loss_seg": 0.58114, "decode.acc_seg": 63.86436, "aux.loss_seg": 0.26585, "aux.acc_seg": 62.18078, "loss": 0.84699, "time": 0.54343} +{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 14203, "data_time": 0.00765, "decode.loss_seg": 0.58104, "decode.acc_seg": 64.12578, "aux.loss_seg": 0.26624, "aux.acc_seg": 62.42806, "loss": 0.84728, "time": 0.53668} +{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 14203, "data_time": 0.00782, "decode.loss_seg": 0.54458, "decode.acc_seg": 63.5387, "aux.loss_seg": 0.2521, "aux.acc_seg": 61.90224, "loss": 0.79668, "time": 0.53205} +{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.55709, "decode.acc_seg": 63.83021, "aux.loss_seg": 0.25822, "aux.acc_seg": 62.46632, "loss": 0.81531, "time": 0.52413} +{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 14203, "data_time": 0.00721, "decode.loss_seg": 0.55679, "decode.acc_seg": 64.69786, "aux.loss_seg": 0.25369, "aux.acc_seg": 63.21254, "loss": 0.81048, "time": 0.5133} +{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 0.56777, "decode.acc_seg": 64.17268, "aux.loss_seg": 0.26555, "aux.acc_seg": 62.0422, "loss": 0.83332, "time": 0.53361} +{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.52656, "decode.acc_seg": 64.0316, "aux.loss_seg": 0.24951, "aux.acc_seg": 61.78562, "loss": 0.77607, "time": 0.51496} +{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 14203, "data_time": 0.00657, "decode.loss_seg": 0.53284, "decode.acc_seg": 65.58676, "aux.loss_seg": 0.24949, "aux.acc_seg": 63.52976, "loss": 0.78233, "time": 0.50909} +{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 14203, "data_time": 0.00649, "decode.loss_seg": 0.56921, "decode.acc_seg": 64.7797, "aux.loss_seg": 0.26674, "aux.acc_seg": 62.80932, "loss": 0.83595, "time": 0.51697} +{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.53999, "decode.acc_seg": 64.79105, "aux.loss_seg": 0.25399, "aux.acc_seg": 62.81044, "loss": 0.79398, "time": 0.53038} +{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 14203, "data_time": 0.0066, "decode.loss_seg": 0.55006, "decode.acc_seg": 64.60378, "aux.loss_seg": 0.2556, "aux.acc_seg": 63.00244, "loss": 0.80567, "time": 0.52878} +{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 14203, "data_time": 0.2338, "decode.loss_seg": 0.57992, "decode.acc_seg": 64.76284, "aux.loss_seg": 0.2697, "aux.acc_seg": 62.63445, "loss": 0.84961, "time": 0.76707} +{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 14203, "data_time": 0.0064, "decode.loss_seg": 0.51747, "decode.acc_seg": 65.45695, "aux.loss_seg": 0.24265, "aux.acc_seg": 63.87308, "loss": 0.76012, "time": 0.50778} +{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.54094, "decode.acc_seg": 63.0647, "aux.loss_seg": 0.25241, "aux.acc_seg": 60.82925, "loss": 0.79335, "time": 0.54166} +{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 14203, "data_time": 0.00723, "decode.loss_seg": 0.52266, "decode.acc_seg": 64.01384, "aux.loss_seg": 0.24777, "aux.acc_seg": 62.15106, "loss": 0.77043, "time": 0.53619} +{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 14203, "data_time": 0.00652, "decode.loss_seg": 0.53094, "decode.acc_seg": 64.12655, "aux.loss_seg": 0.24754, "aux.acc_seg": 62.49406, "loss": 0.77847, "time": 0.51417} +{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 14203, "data_time": 0.00703, "decode.loss_seg": 0.5396, "decode.acc_seg": 64.51332, "aux.loss_seg": 0.25089, "aux.acc_seg": 62.93683, "loss": 0.79049, "time": 0.53594} +{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 14203, "data_time": 0.00632, "decode.loss_seg": 0.53672, "decode.acc_seg": 63.96721, "aux.loss_seg": 0.2543, "aux.acc_seg": 62.07175, "loss": 0.79102, "time": 0.52575} +{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 14203, "data_time": 0.00639, "decode.loss_seg": 0.51329, "decode.acc_seg": 65.41602, "aux.loss_seg": 0.24033, "aux.acc_seg": 63.40061, "loss": 0.75362, "time": 0.54568} +{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 14203, "data_time": 0.00697, "decode.loss_seg": 0.52902, "decode.acc_seg": 65.34744, "aux.loss_seg": 0.24558, "aux.acc_seg": 63.64099, "loss": 0.7746, "time": 0.51858} +{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 0.54989, "decode.acc_seg": 63.9894, "aux.loss_seg": 0.25664, "aux.acc_seg": 62.20983, "loss": 0.80653, "time": 0.53055} +{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 0.50934, "decode.acc_seg": 64.34297, "aux.loss_seg": 0.24115, "aux.acc_seg": 62.40532, "loss": 0.75048, "time": 0.51423} +{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 14203, "data_time": 0.00738, "decode.loss_seg": 0.51715, "decode.acc_seg": 64.88154, "aux.loss_seg": 0.24714, "aux.acc_seg": 62.70403, "loss": 0.76428, "time": 0.51597} +{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 14203, "data_time": 0.00646, "decode.loss_seg": 0.55021, "decode.acc_seg": 64.62093, "aux.loss_seg": 0.25259, "aux.acc_seg": 63.2758, "loss": 0.8028, "time": 0.51506} +{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.53205, "decode.acc_seg": 64.83772, "aux.loss_seg": 0.2488, "aux.acc_seg": 63.10131, "loss": 0.78085, "time": 0.51572} +{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 14203, "data_time": 0.00634, "decode.loss_seg": 0.5137, "decode.acc_seg": 64.22569, "aux.loss_seg": 0.23931, "aux.acc_seg": 62.62155, "loss": 0.753, "time": 0.51164} +{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 14203, "data_time": 0.00677, "decode.loss_seg": 0.54596, "decode.acc_seg": 64.03251, "aux.loss_seg": 0.25166, "aux.acc_seg": 62.46839, "loss": 0.79762, "time": 0.5158} +{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 14203, "data_time": 0.00655, "decode.loss_seg": 0.51317, "decode.acc_seg": 66.53126, "aux.loss_seg": 0.24119, "aux.acc_seg": 64.73914, "loss": 0.75436, "time": 0.51091} +{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 14203, "data_time": 0.00637, "decode.loss_seg": 0.5133, "decode.acc_seg": 66.08592, "aux.loss_seg": 0.24224, "aux.acc_seg": 64.02902, "loss": 0.75555, "time": 0.53166} +{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 14203, "data_time": 0.00679, "decode.loss_seg": 0.53537, "decode.acc_seg": 64.09597, "aux.loss_seg": 0.25038, "aux.acc_seg": 62.03662, "loss": 0.78575, "time": 0.5264} +{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 14203, "data_time": 0.00648, "decode.loss_seg": 0.55614, "decode.acc_seg": 65.27789, "aux.loss_seg": 0.26141, "aux.acc_seg": 63.34383, "loss": 0.81755, "time": 0.50984} +{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 14203, "data_time": 0.0064, "decode.loss_seg": 0.54844, "decode.acc_seg": 64.96064, "aux.loss_seg": 0.25875, "aux.acc_seg": 63.32294, "loss": 0.80719, "time": 0.52208} +{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 14203, "data_time": 0.00641, "decode.loss_seg": 0.54799, "decode.acc_seg": 65.331, "aux.loss_seg": 0.25319, "aux.acc_seg": 63.75284, "loss": 0.80117, "time": 0.51203} +{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 14203, "data_time": 0.00639, "decode.loss_seg": 0.53474, "decode.acc_seg": 64.51645, "aux.loss_seg": 0.24688, "aux.acc_seg": 62.65383, "loss": 0.78161, "time": 0.51384} +{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 14203, "data_time": 0.00656, "decode.loss_seg": 0.55037, "decode.acc_seg": 64.17754, "aux.loss_seg": 0.2566, "aux.acc_seg": 62.54024, "loss": 0.80697, "time": 0.51437} +{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 14203, "data_time": 0.00639, "decode.loss_seg": 0.54367, "decode.acc_seg": 64.2573, "aux.loss_seg": 0.24828, "aux.acc_seg": 62.84287, "loss": 0.79195, "time": 0.51135} +{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 14203, "data_time": 0.23939, "decode.loss_seg": 0.56693, "decode.acc_seg": 63.58719, "aux.loss_seg": 0.25709, "aux.acc_seg": 61.96548, "loss": 0.82402, "time": 0.76203} +{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 14203, "data_time": 0.00613, "decode.loss_seg": 0.52493, "decode.acc_seg": 67.0158, "aux.loss_seg": 0.24773, "aux.acc_seg": 64.82169, "loss": 0.77266, "time": 0.53388} +{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 14203, "data_time": 0.0067, "decode.loss_seg": 0.54469, "decode.acc_seg": 65.33091, "aux.loss_seg": 0.2537, "aux.acc_seg": 63.31314, "loss": 0.7984, "time": 0.53637} +{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 14203, "data_time": 0.0063, "decode.loss_seg": 0.49814, "decode.acc_seg": 64.68497, "aux.loss_seg": 0.23548, "aux.acc_seg": 62.91471, "loss": 0.73362, "time": 0.50822} +{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 14203, "data_time": 0.00621, "decode.loss_seg": 0.51877, "decode.acc_seg": 65.26124, "aux.loss_seg": 0.24455, "aux.acc_seg": 63.57143, "loss": 0.76332, "time": 0.51024} +{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 14203, "data_time": 0.00624, "decode.loss_seg": 0.5357, "decode.acc_seg": 63.7762, "aux.loss_seg": 0.25579, "aux.acc_seg": 61.66097, "loss": 0.79149, "time": 0.5097} +{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 14203, "data_time": 0.00613, "decode.loss_seg": 0.51668, "decode.acc_seg": 64.95063, "aux.loss_seg": 0.23919, "aux.acc_seg": 63.31491, "loss": 0.75587, "time": 0.51126} +{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 14203, "data_time": 0.00618, "decode.loss_seg": 0.50623, "decode.acc_seg": 65.65636, "aux.loss_seg": 0.23958, "aux.acc_seg": 63.50445, "loss": 0.74581, "time": 0.51209} +{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 14203, "data_time": 0.00617, "decode.loss_seg": 0.47341, "decode.acc_seg": 65.12985, "aux.loss_seg": 0.22514, "aux.acc_seg": 63.42077, "loss": 0.69855, "time": 0.52224} +{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.46654, "decode.acc_seg": 66.02734, "aux.loss_seg": 0.22616, "aux.acc_seg": 63.65968, "loss": 0.6927, "time": 0.53157} +{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 14203, "data_time": 0.00684, "decode.loss_seg": 0.51225, "decode.acc_seg": 64.20608, "aux.loss_seg": 0.24242, "aux.acc_seg": 62.11746, "loss": 0.75467, "time": 0.54692} +{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 14203, "data_time": 0.00685, "decode.loss_seg": 0.4975, "decode.acc_seg": 64.23174, "aux.loss_seg": 0.23463, "aux.acc_seg": 62.33455, "loss": 0.73212, "time": 0.52066} +{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.52827, "decode.acc_seg": 65.55493, "aux.loss_seg": 0.25162, "aux.acc_seg": 63.35714, "loss": 0.77989, "time": 0.5222} +{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 14203, "data_time": 0.00708, "decode.loss_seg": 0.54555, "decode.acc_seg": 63.65905, "aux.loss_seg": 0.2547, "aux.acc_seg": 61.98061, "loss": 0.80025, "time": 0.54618} +{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 14203, "data_time": 0.00697, "decode.loss_seg": 0.48354, "decode.acc_seg": 65.03825, "aux.loss_seg": 0.22791, "aux.acc_seg": 63.45887, "loss": 0.71146, "time": 0.51908} +{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 14203, "data_time": 0.00635, "decode.loss_seg": 0.51376, "decode.acc_seg": 66.44267, "aux.loss_seg": 0.24014, "aux.acc_seg": 64.75814, "loss": 0.7539, "time": 0.50863} +{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 14203, "data_time": 0.00647, "decode.loss_seg": 0.52687, "decode.acc_seg": 65.25843, "aux.loss_seg": 0.24513, "aux.acc_seg": 63.46571, "loss": 0.772, "time": 0.51125} +{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 14203, "data_time": 0.00621, "decode.loss_seg": 0.51814, "decode.acc_seg": 67.04374, "aux.loss_seg": 0.24374, "aux.acc_seg": 65.03916, "loss": 0.76188, "time": 0.54479} +{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 14203, "data_time": 0.00685, "decode.loss_seg": 0.53116, "decode.acc_seg": 65.30498, "aux.loss_seg": 0.24211, "aux.acc_seg": 63.75266, "loss": 0.77328, "time": 0.5444} +{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 14203, "data_time": 0.00625, "decode.loss_seg": 0.51429, "decode.acc_seg": 64.93635, "aux.loss_seg": 0.23628, "aux.acc_seg": 63.45564, "loss": 0.75057, "time": 0.52279} +{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 14203, "data_time": 0.00629, "decode.loss_seg": 0.51917, "decode.acc_seg": 65.21956, "aux.loss_seg": 0.247, "aux.acc_seg": 63.12198, "loss": 0.76617, "time": 0.5192} +{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.51035, "decode.acc_seg": 64.54494, "aux.loss_seg": 0.23772, "aux.acc_seg": 62.85246, "loss": 0.74806, "time": 0.51609} +{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 14203, "data_time": 0.00625, "decode.loss_seg": 0.51948, "decode.acc_seg": 63.33049, "aux.loss_seg": 0.24594, "aux.acc_seg": 61.36894, "loss": 0.76542, "time": 0.51515} +{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.49251, "decode.acc_seg": 65.37865, "aux.loss_seg": 0.23146, "aux.acc_seg": 63.78428, "loss": 0.72397, "time": 0.5127} +{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 14203, "data_time": 0.00631, "decode.loss_seg": 0.50955, "decode.acc_seg": 65.15372, "aux.loss_seg": 0.23744, "aux.acc_seg": 63.25251, "loss": 0.74699, "time": 0.52206} +{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.53016, "decode.acc_seg": 64.43688, "aux.loss_seg": 0.24295, "aux.acc_seg": 63.04781, "loss": 0.77311, "time": 0.51062} +{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 14203, "data_time": 0.23038, "decode.loss_seg": 0.51306, "decode.acc_seg": 64.95763, "aux.loss_seg": 0.24268, "aux.acc_seg": 62.87929, "loss": 0.75574, "time": 0.73835} +{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 0.49283, "decode.acc_seg": 65.42704, "aux.loss_seg": 0.2367, "aux.acc_seg": 63.27489, "loss": 0.72954, "time": 0.52539} +{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 14203, "data_time": 0.00649, "decode.loss_seg": 0.5047, "decode.acc_seg": 66.47681, "aux.loss_seg": 0.24183, "aux.acc_seg": 64.45926, "loss": 0.74653, "time": 0.50899} +{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 0.48849, "decode.acc_seg": 67.81539, "aux.loss_seg": 0.2291, "aux.acc_seg": 65.99612, "loss": 0.71759, "time": 0.51269} +{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.52566, "decode.acc_seg": 64.27358, "aux.loss_seg": 0.24674, "aux.acc_seg": 62.30978, "loss": 0.7724, "time": 0.52486} +{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 14203, "data_time": 0.00638, "decode.loss_seg": 0.5071, "decode.acc_seg": 66.57608, "aux.loss_seg": 0.24438, "aux.acc_seg": 64.33314, "loss": 0.75148, "time": 0.51374} +{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 14203, "data_time": 0.00657, "decode.loss_seg": 0.48812, "decode.acc_seg": 65.4695, "aux.loss_seg": 0.23598, "aux.acc_seg": 63.45566, "loss": 0.72411, "time": 0.51281} +{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.46688, "decode.acc_seg": 67.61507, "aux.loss_seg": 0.22543, "aux.acc_seg": 65.49489, "loss": 0.69231, "time": 0.51083} +{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.47958, "decode.acc_seg": 64.68738, "aux.loss_seg": 0.22759, "aux.acc_seg": 62.82254, "loss": 0.70717, "time": 0.51713} +{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 14203, "data_time": 0.00687, "decode.loss_seg": 0.503, "decode.acc_seg": 66.46772, "aux.loss_seg": 0.23564, "aux.acc_seg": 64.58388, "loss": 0.73864, "time": 0.51707} +{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 14203, "data_time": 0.00666, "decode.loss_seg": 0.49154, "decode.acc_seg": 65.20234, "aux.loss_seg": 0.2283, "aux.acc_seg": 63.54864, "loss": 0.71985, "time": 0.51437} +{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.50497, "decode.acc_seg": 65.17171, "aux.loss_seg": 0.23395, "aux.acc_seg": 63.72022, "loss": 0.73893, "time": 0.51603} +{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 14203, "data_time": 0.00641, "decode.loss_seg": 0.49871, "decode.acc_seg": 65.4953, "aux.loss_seg": 0.23779, "aux.acc_seg": 63.7194, "loss": 0.7365, "time": 0.51063} +{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 0.49321, "decode.acc_seg": 64.1159, "aux.loss_seg": 0.23142, "aux.acc_seg": 62.41027, "loss": 0.72463, "time": 0.51157} +{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 14203, "data_time": 0.00674, "decode.loss_seg": 0.50683, "decode.acc_seg": 65.26353, "aux.loss_seg": 0.23925, "aux.acc_seg": 63.52562, "loss": 0.74607, "time": 0.5109} +{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 14203, "data_time": 0.00654, "decode.loss_seg": 0.48889, "decode.acc_seg": 65.27719, "aux.loss_seg": 0.229, "aux.acc_seg": 63.69466, "loss": 0.7179, "time": 0.51224} +{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.4173, "mAcc": 0.5475, "aAcc": 0.7934, "IoU.wall": 0.7154, "IoU.building": 0.792, "IoU.sky": 0.934, "IoU.floor": 0.7848, "IoU.tree": 0.7063, "IoU.ceiling": 0.801, "IoU.road": 0.8125, "IoU.bed ": 0.8137, "IoU.windowpane": 0.5491, "IoU.grass": 0.6349, "IoU.cabinet": 0.5324, "IoU.sidewalk": 0.5919, "IoU.person": 0.7484, "IoU.earth": 0.3164, "IoU.door": 0.4108, "IoU.table": 0.4945, "IoU.mountain": 0.5741, "IoU.plant": 0.4425, "IoU.curtain": 0.6137, "IoU.chair": 0.4805, "IoU.car": 0.8131, "IoU.water": 0.5225, "IoU.painting": 0.5848, "IoU.sofa": 0.5031, "IoU.shelf": 0.4141, "IoU.house": 0.3642, "IoU.sea": 0.5932, "IoU.mirror": 0.4931, "IoU.rug": 0.6505, "IoU.field": 0.2886, "IoU.armchair": 0.2935, "IoU.seat": 0.5833, "IoU.fence": 0.4551, "IoU.desk": 0.3727, "IoU.rock": 0.4168, "IoU.wardrobe": 0.4436, "IoU.lamp": 0.4858, "IoU.bathtub": 0.6376, "IoU.railing": 0.3227, "IoU.cushion": 0.3928, "IoU.base": 0.3673, "IoU.box": 0.2316, "IoU.column": 0.4257, "IoU.signboard": 0.3309, "IoU.chest of drawers": 0.3518, "IoU.counter": 0.3073, "IoU.sand": 0.3448, "IoU.sink": 0.5802, "IoU.skyscraper": 0.6189, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5763, "IoU.grandstand": 0.4115, "IoU.path": 0.1798, "IoU.stairs": 0.254, "IoU.runway": 0.7246, "IoU.case": 0.4415, "IoU.pool table": 0.8933, "IoU.pillow": 0.4507, "IoU.screen door": 0.6207, "IoU.stairway": 0.3154, "IoU.river": 0.0985, "IoU.bridge": 0.5765, "IoU.bookcase": 0.2033, "IoU.blind": NaN, "IoU.coffee table": 0.4436, "IoU.toilet": 0.7532, "IoU.flower": 0.3511, "IoU.book": 0.4264, "IoU.hill": 0.043, "IoU.bench": 0.3802, "IoU.countertop": 0.4784, "IoU.stove": 0.5503, "IoU.palm": 0.4224, "IoU.kitchen island": 0.275, "IoU.computer": 0.6673, "IoU.swivel chair": 0.4154, "IoU.boat": 0.5706, "IoU.bar": 0.4709, "IoU.arcade machine": 0.6551, "IoU.hovel": 0.5028, "IoU.bus": 0.6413, "IoU.towel": 0.4839, "IoU.light": 0.3708, "IoU.truck": 0.2397, "IoU.tower": 0.3966, "IoU.chandelier": 0.5595, "IoU.awning": 0.1764, "IoU.streetlight": 0.1486, "IoU.booth": 0.4817, "IoU.television receiver": NaN, "IoU.airplane": 0.5419, "IoU.dirt track": 0.0687, "IoU.apparel": 0.2346, "IoU.pole": 0.1435, "IoU.land": 0.0, "IoU.bannister": 0.0535, "IoU.escalator": 0.3626, "IoU.ottoman": 0.3002, "IoU.bottle": NaN, "IoU.buffet": 0.4661, "IoU.poster": 0.1367, "IoU.stage": 0.0981, "IoU.van": 0.363, "IoU.ship": 0.7205, "IoU.fountain": 0.2267, "IoU.conveyer belt": 0.4648, "IoU.canopy": 0.2274, "IoU.washer": 0.6191, "IoU.plaything": 0.1369, "IoU.swimming pool": 0.7371, "IoU.stool": 0.169, "IoU.barrel": 0.532, "IoU.basket": 0.2048, "IoU.waterfall": 0.5841, "IoU.tent": 0.8876, "IoU.bag": 0.0244, "IoU.minibike": 0.602, "IoU.cradle": NaN, "IoU.oven": 0.0712, "IoU.ball": 0.2802, "IoU.food": 0.5686, "IoU.step": 0.001, "IoU.tank": 0.5468, "IoU.trade name": 0.1239, "IoU.microwave": 0.4566, "IoU.pot": 0.4906, "IoU.animal": NaN, "IoU.bicycle": 0.496, "IoU.lake": 0.0636, "IoU.dishwasher": 0.2227, "IoU.screen": 0.6047, "IoU.blanket": 0.0251, "IoU.sculpture": 0.3912, "IoU.hood": 0.3759, "IoU.sconce": 0.1583, "IoU.vase": 0.2467, "IoU.traffic light": 0.1953, "IoU.tray": 0.0039, "IoU.ashcan": 0.2946, "IoU.fan": 0.4479, "IoU.pier": 0.292, "IoU.crt screen": 0.0, "IoU.plate": 0.49, "IoU.monitor": 0.3881, "IoU.bulletin board": 0.3448, "IoU.shower": 0.0, "IoU.radiator": 0.4792, "IoU.glass": 0.0575, "IoU.clock": 0.2172, "IoU.flag": 0.2604, "Acc.wall": 0.8243, "Acc.building": 0.9307, "Acc.sky": 0.9592, "Acc.floor": 0.871, "Acc.tree": 0.8662, "Acc.ceiling": 0.8601, "Acc.road": 0.8687, "Acc.bed ": 0.9496, "Acc.windowpane": 0.7475, "Acc.grass": 0.7416, "Acc.cabinet": 0.6652, "Acc.sidewalk": 0.7305, "Acc.person": 0.853, "Acc.earth": 0.4799, "Acc.door": 0.5606, "Acc.table": 0.6619, "Acc.mountain": 0.7886, "Acc.plant": 0.5175, "Acc.curtain": 0.8334, "Acc.chair": 0.7371, "Acc.car": 0.9022, "Acc.water": 0.7055, "Acc.painting": 0.8578, "Acc.sofa": 0.6816, "Acc.shelf": 0.6299, "Acc.house": 0.396, "Acc.sea": 0.7922, "Acc.mirror": 0.697, "Acc.rug": 0.7698, "Acc.field": 0.5924, "Acc.armchair": 0.4515, "Acc.seat": 0.7893, "Acc.fence": 0.6475, "Acc.desk": 0.5355, "Acc.rock": 0.6469, "Acc.wardrobe": 0.6151, "Acc.lamp": 0.66, "Acc.bathtub": 0.7008, "Acc.railing": 0.4397, "Acc.cushion": 0.484, "Acc.base": 0.5329, "Acc.box": 0.3486, "Acc.column": 0.5808, "Acc.signboard": 0.4325, "Acc.chest of drawers": 0.4194, "Acc.counter": 0.4747, "Acc.sand": 0.4828, "Acc.sink": 0.6734, "Acc.skyscraper": 0.8701, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7918, "Acc.grandstand": 0.7708, "Acc.path": 0.2811, "Acc.stairs": 0.3264, "Acc.runway": 0.9551, "Acc.case": 0.4874, "Acc.pool table": 0.9562, "Acc.pillow": 0.6022, "Acc.screen door": 0.7565, "Acc.stairway": 0.4761, "Acc.river": 0.1485, "Acc.bridge": 0.82, "Acc.bookcase": 0.2509, "Acc.blind": NaN, "Acc.coffee table": 0.825, "Acc.toilet": 0.8295, "Acc.flower": 0.443, "Acc.book": 0.6339, "Acc.hill": 0.0719, "Acc.bench": 0.4608, "Acc.countertop": 0.6471, "Acc.stove": 0.8717, "Acc.palm": 0.6892, "Acc.kitchen island": 0.7452, "Acc.computer": 0.8434, "Acc.swivel chair": 0.5081, "Acc.boat": 0.747, "Acc.bar": 0.5697, "Acc.arcade machine": 0.7224, "Acc.hovel": 0.598, "Acc.bus": 0.9601, "Acc.towel": 0.5924, "Acc.light": 0.4026, "Acc.truck": 0.3742, "Acc.tower": 0.8198, "Acc.chandelier": 0.8223, "Acc.awning": 0.1956, "Acc.streetlight": 0.1801, "Acc.booth": 0.686, "Acc.television receiver": NaN, "Acc.airplane": 0.6967, "Acc.dirt track": 0.1402, "Acc.apparel": 0.4305, "Acc.pole": 0.197, "Acc.land": 0.0, "Acc.bannister": 0.0639, "Acc.escalator": 0.5519, "Acc.ottoman": 0.3976, "Acc.bottle": NaN, "Acc.buffet": 0.5865, "Acc.poster": 0.1585, "Acc.stage": 0.2117, "Acc.van": 0.4763, "Acc.ship": 0.8094, "Acc.fountain": 0.2491, "Acc.conveyer belt": 0.6491, "Acc.canopy": 0.3148, "Acc.washer": 0.7827, "Acc.plaything": 0.1732, "Acc.swimming pool": 0.78, "Acc.stool": 0.1841, "Acc.barrel": 0.6149, "Acc.basket": 0.2865, "Acc.waterfall": 0.8079, "Acc.tent": 0.978, "Acc.bag": 0.0261, "Acc.minibike": 0.7945, "Acc.cradle": NaN, "Acc.oven": 0.1533, "Acc.ball": 0.291, "Acc.food": 0.7486, "Acc.step": 0.0011, "Acc.tank": 0.5695, "Acc.trade name": 0.1281, "Acc.microwave": 0.5802, "Acc.pot": 0.5324, "Acc.animal": NaN, "Acc.bicycle": 0.6917, "Acc.lake": 0.1007, "Acc.dishwasher": 0.3858, "Acc.screen": 0.8687, "Acc.blanket": 0.0278, "Acc.sculpture": 0.5071, "Acc.hood": 0.57, "Acc.sconce": 0.1796, "Acc.vase": 0.3872, "Acc.traffic light": 0.3398, "Acc.tray": 0.0047, "Acc.ashcan": 0.4023, "Acc.fan": 0.5416, "Acc.pier": 0.4449, "Acc.crt screen": 0.0, "Acc.plate": 0.737, "Acc.monitor": 0.5911, "Acc.bulletin board": 0.4668, "Acc.shower": 0.0, "Acc.radiator": 0.5097, "Acc.glass": 0.0607, "Acc.clock": 0.2341, "Acc.flag": 0.3114} +{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 22404, "data_time": 3.83884, "decode.loss_seg": 0.51116, "decode.acc_seg": 66.43035, "aux.loss_seg": 0.23689, "aux.acc_seg": 64.70794, "loss": 0.74805, "time": 4.34721} +{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.50753, "decode.acc_seg": 65.82415, "aux.loss_seg": 0.23882, "aux.acc_seg": 63.91275, "loss": 0.74635, "time": 0.51501} +{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.50701, "decode.acc_seg": 65.07144, "aux.loss_seg": 0.23642, "aux.acc_seg": 63.04345, "loss": 0.74343, "time": 0.52028} +{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.50658, "decode.acc_seg": 65.56734, "aux.loss_seg": 0.23974, "aux.acc_seg": 63.79339, "loss": 0.74632, "time": 0.54061} +{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.49103, "decode.acc_seg": 65.14695, "aux.loss_seg": 0.22995, "aux.acc_seg": 63.03114, "loss": 0.72099, "time": 0.54779} +{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.48131, "decode.acc_seg": 66.70573, "aux.loss_seg": 0.22862, "aux.acc_seg": 64.34517, "loss": 0.70993, "time": 0.51537} +{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.50011, "decode.acc_seg": 65.16275, "aux.loss_seg": 0.23272, "aux.acc_seg": 63.26978, "loss": 0.73283, "time": 0.52927} +{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.50171, "decode.acc_seg": 66.99127, "aux.loss_seg": 0.23729, "aux.acc_seg": 65.19536, "loss": 0.73901, "time": 0.51679} +{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 22404, "data_time": 0.24192, "decode.loss_seg": 0.49323, "decode.acc_seg": 66.73635, "aux.loss_seg": 0.23291, "aux.acc_seg": 64.61168, "loss": 0.72614, "time": 0.75705} +{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.47718, "decode.acc_seg": 66.72441, "aux.loss_seg": 0.2282, "aux.acc_seg": 64.80746, "loss": 0.70538, "time": 0.53722} +{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.4686, "decode.acc_seg": 66.88257, "aux.loss_seg": 0.22248, "aux.acc_seg": 64.81496, "loss": 0.69108, "time": 0.51986} +{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.48302, "decode.acc_seg": 64.57392, "aux.loss_seg": 0.22895, "aux.acc_seg": 62.55729, "loss": 0.71197, "time": 0.51512} +{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.45399, "decode.acc_seg": 65.60326, "aux.loss_seg": 0.21796, "aux.acc_seg": 63.64435, "loss": 0.67195, "time": 0.51392} +{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.46789, "decode.acc_seg": 65.42155, "aux.loss_seg": 0.2254, "aux.acc_seg": 63.29363, "loss": 0.6933, "time": 0.53882} +{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.47657, "decode.acc_seg": 64.9746, "aux.loss_seg": 0.22711, "aux.acc_seg": 62.8885, "loss": 0.70367, "time": 0.52193} +{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.4439, "decode.acc_seg": 65.68658, "aux.loss_seg": 0.20968, "aux.acc_seg": 64.17898, "loss": 0.65358, "time": 0.51574} +{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.45481, "decode.acc_seg": 66.06421, "aux.loss_seg": 0.21544, "aux.acc_seg": 63.91003, "loss": 0.67025, "time": 0.5425} +{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.49593, "decode.acc_seg": 65.32854, "aux.loss_seg": 0.23329, "aux.acc_seg": 63.61666, "loss": 0.72922, "time": 0.53343} +{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.47363, "decode.acc_seg": 66.20993, "aux.loss_seg": 0.22195, "aux.acc_seg": 64.57799, "loss": 0.69558, "time": 0.5279} +{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.4844, "decode.acc_seg": 67.92517, "aux.loss_seg": 0.22911, "aux.acc_seg": 66.07559, "loss": 0.71351, "time": 0.51343} +{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.47347, "decode.acc_seg": 67.85514, "aux.loss_seg": 0.22708, "aux.acc_seg": 65.64524, "loss": 0.70055, "time": 0.50949} +{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.50455, "decode.acc_seg": 64.25358, "aux.loss_seg": 0.23473, "aux.acc_seg": 62.76088, "loss": 0.73929, "time": 0.51969} +{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.48197, "decode.acc_seg": 65.95157, "aux.loss_seg": 0.22923, "aux.acc_seg": 64.12628, "loss": 0.7112, "time": 0.5309} +{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.49351, "decode.acc_seg": 64.38412, "aux.loss_seg": 0.2355, "aux.acc_seg": 62.15721, "loss": 0.72902, "time": 0.5125} +{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.50222, "decode.acc_seg": 66.15788, "aux.loss_seg": 0.23796, "aux.acc_seg": 64.39102, "loss": 0.74017, "time": 0.51864} +{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.49207, "decode.acc_seg": 65.79246, "aux.loss_seg": 0.23457, "aux.acc_seg": 63.77156, "loss": 0.72664, "time": 0.5128} +{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.47038, "decode.acc_seg": 67.16547, "aux.loss_seg": 0.22363, "aux.acc_seg": 65.05419, "loss": 0.69401, "time": 0.51915} +{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.4726, "decode.acc_seg": 65.99258, "aux.loss_seg": 0.22072, "aux.acc_seg": 64.26375, "loss": 0.69331, "time": 0.52613} +{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.46518, "decode.acc_seg": 65.83695, "aux.loss_seg": 0.2183, "aux.acc_seg": 63.95137, "loss": 0.68348, "time": 0.51546} +{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.52091, "decode.acc_seg": 64.99991, "aux.loss_seg": 0.24072, "aux.acc_seg": 63.33176, "loss": 0.76163, "time": 0.53174} +{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.45599, "decode.acc_seg": 66.00059, "aux.loss_seg": 0.21344, "aux.acc_seg": 64.40692, "loss": 0.66943, "time": 0.51691} +{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.4575, "decode.acc_seg": 66.57359, "aux.loss_seg": 0.21946, "aux.acc_seg": 64.38153, "loss": 0.67696, "time": 0.52109} +{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.47682, "decode.acc_seg": 65.35906, "aux.loss_seg": 0.22214, "aux.acc_seg": 63.71481, "loss": 0.69896, "time": 0.51608} +{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 22404, "data_time": 0.24541, "decode.loss_seg": 0.45924, "decode.acc_seg": 66.62778, "aux.loss_seg": 0.21807, "aux.acc_seg": 64.88348, "loss": 0.67731, "time": 0.74705} +{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.51309, "decode.acc_seg": 65.94025, "aux.loss_seg": 0.24661, "aux.acc_seg": 63.89282, "loss": 0.7597, "time": 0.51135} +{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.45863, "decode.acc_seg": 66.4137, "aux.loss_seg": 0.2177, "aux.acc_seg": 64.84227, "loss": 0.67633, "time": 0.51107} +{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 22404, "data_time": 0.00813, "decode.loss_seg": 0.48263, "decode.acc_seg": 65.67406, "aux.loss_seg": 0.23085, "aux.acc_seg": 63.70282, "loss": 0.71348, "time": 0.54539} +{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.48959, "decode.acc_seg": 65.519, "aux.loss_seg": 0.23066, "aux.acc_seg": 63.81128, "loss": 0.72024, "time": 0.54452} +{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.48, "decode.acc_seg": 65.08855, "aux.loss_seg": 0.22781, "aux.acc_seg": 63.14351, "loss": 0.70781, "time": 0.54573} +{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.4485, "decode.acc_seg": 66.83916, "aux.loss_seg": 0.21653, "aux.acc_seg": 64.93601, "loss": 0.66503, "time": 0.51484} +{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.45892, "decode.acc_seg": 65.21739, "aux.loss_seg": 0.22158, "aux.acc_seg": 62.93185, "loss": 0.6805, "time": 0.53182} +{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.50783, "decode.acc_seg": 66.92063, "aux.loss_seg": 0.23759, "aux.acc_seg": 65.17731, "loss": 0.74542, "time": 0.51843} +{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.43909, "decode.acc_seg": 68.44901, "aux.loss_seg": 0.20998, "aux.acc_seg": 66.62059, "loss": 0.64906, "time": 0.53841} +{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.47245, "decode.acc_seg": 66.25621, "aux.loss_seg": 0.2225, "aux.acc_seg": 64.41426, "loss": 0.69494, "time": 0.51332} +{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 22404, "data_time": 0.00618, "decode.loss_seg": 0.46419, "decode.acc_seg": 65.74398, "aux.loss_seg": 0.21853, "aux.acc_seg": 64.0184, "loss": 0.68272, "time": 0.51196} +{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 22404, "data_time": 0.00627, "decode.loss_seg": 0.48345, "decode.acc_seg": 65.34019, "aux.loss_seg": 0.23052, "aux.acc_seg": 63.12293, "loss": 0.71397, "time": 0.51034} +{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 22404, "data_time": 0.0065, "decode.loss_seg": 0.47465, "decode.acc_seg": 66.70911, "aux.loss_seg": 0.22828, "aux.acc_seg": 65.06796, "loss": 0.70294, "time": 0.50786} +{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.48896, "decode.acc_seg": 67.18235, "aux.loss_seg": 0.23565, "aux.acc_seg": 64.88188, "loss": 0.72461, "time": 0.51734} +{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.4823, "decode.acc_seg": 65.37642, "aux.loss_seg": 0.2274, "aux.acc_seg": 63.36971, "loss": 0.70969, "time": 0.51044} +{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.48619, "decode.acc_seg": 64.60252, "aux.loss_seg": 0.22637, "aux.acc_seg": 62.85703, "loss": 0.71256, "time": 0.5177} +{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.49453, "decode.acc_seg": 67.17675, "aux.loss_seg": 0.23215, "aux.acc_seg": 65.34735, "loss": 0.72667, "time": 0.53759} +{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.44931, "decode.acc_seg": 65.84429, "aux.loss_seg": 0.21076, "aux.acc_seg": 64.05851, "loss": 0.66006, "time": 0.52591} +{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.47679, "decode.acc_seg": 66.68673, "aux.loss_seg": 0.22707, "aux.acc_seg": 64.94219, "loss": 0.70386, "time": 0.54128} +{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.48807, "decode.acc_seg": 65.8918, "aux.loss_seg": 0.23237, "aux.acc_seg": 64.18741, "loss": 0.72044, "time": 0.51729} +{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.46289, "decode.acc_seg": 66.41451, "aux.loss_seg": 0.21806, "aux.acc_seg": 64.59387, "loss": 0.68095, "time": 0.51447} +{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.47492, "decode.acc_seg": 65.66086, "aux.loss_seg": 0.22345, "aux.acc_seg": 63.86279, "loss": 0.69837, "time": 0.51271} +{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.47398, "decode.acc_seg": 67.1036, "aux.loss_seg": 0.22306, "aux.acc_seg": 65.44163, "loss": 0.69704, "time": 0.52187} +{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.4531, "decode.acc_seg": 67.00197, "aux.loss_seg": 0.21974, "aux.acc_seg": 64.70599, "loss": 0.67283, "time": 0.53843} +{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 22404, "data_time": 0.24964, "decode.loss_seg": 0.45739, "decode.acc_seg": 67.37802, "aux.loss_seg": 0.21225, "aux.acc_seg": 65.87624, "loss": 0.66964, "time": 0.7619} +{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.44052, "decode.acc_seg": 66.18383, "aux.loss_seg": 0.21234, "aux.acc_seg": 64.28479, "loss": 0.65286, "time": 0.51623} +{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.4401, "decode.acc_seg": 66.79609, "aux.loss_seg": 0.21162, "aux.acc_seg": 64.64352, "loss": 0.65172, "time": 0.51945} +{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.45315, "decode.acc_seg": 67.67982, "aux.loss_seg": 0.21719, "aux.acc_seg": 65.81271, "loss": 0.67034, "time": 0.51794} +{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.4736, "decode.acc_seg": 65.32294, "aux.loss_seg": 0.21884, "aux.acc_seg": 63.44013, "loss": 0.69244, "time": 0.51694} +{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.45137, "decode.acc_seg": 67.02085, "aux.loss_seg": 0.21561, "aux.acc_seg": 65.13241, "loss": 0.66698, "time": 0.52216} +{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.45167, "decode.acc_seg": 67.00484, "aux.loss_seg": 0.21685, "aux.acc_seg": 64.7761, "loss": 0.66852, "time": 0.53165} +{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.45951, "decode.acc_seg": 65.47273, "aux.loss_seg": 0.21865, "aux.acc_seg": 63.71554, "loss": 0.67816, "time": 0.51444} +{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.45484, "decode.acc_seg": 64.56545, "aux.loss_seg": 0.2186, "aux.acc_seg": 62.76857, "loss": 0.67344, "time": 0.51735} +{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.46938, "decode.acc_seg": 67.81081, "aux.loss_seg": 0.21534, "aux.acc_seg": 66.33881, "loss": 0.68472, "time": 0.53369} +{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.45931, "decode.acc_seg": 66.00263, "aux.loss_seg": 0.21895, "aux.acc_seg": 64.51393, "loss": 0.67826, "time": 0.51951} +{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.45102, "decode.acc_seg": 65.15654, "aux.loss_seg": 0.21787, "aux.acc_seg": 63.16438, "loss": 0.66889, "time": 0.52009} +{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.46617, "decode.acc_seg": 66.14524, "aux.loss_seg": 0.22009, "aux.acc_seg": 64.38906, "loss": 0.68626, "time": 0.51297} +{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.47069, "decode.acc_seg": 65.59533, "aux.loss_seg": 0.22561, "aux.acc_seg": 63.66227, "loss": 0.6963, "time": 0.51644} +{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.47132, "decode.acc_seg": 66.74178, "aux.loss_seg": 0.22244, "aux.acc_seg": 64.87271, "loss": 0.69377, "time": 0.52666} +{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.49925, "decode.acc_seg": 67.2423, "aux.loss_seg": 0.22974, "aux.acc_seg": 65.63725, "loss": 0.72899, "time": 0.54987} +{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.45895, "decode.acc_seg": 66.14154, "aux.loss_seg": 0.21575, "aux.acc_seg": 64.56745, "loss": 0.67469, "time": 0.51521} +{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.47539, "decode.acc_seg": 68.41308, "aux.loss_seg": 0.2257, "aux.acc_seg": 66.27077, "loss": 0.70109, "time": 0.51146} +{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.44456, "decode.acc_seg": 67.25081, "aux.loss_seg": 0.21392, "aux.acc_seg": 65.2431, "loss": 0.65848, "time": 0.53107} +{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.45837, "decode.acc_seg": 65.43287, "aux.loss_seg": 0.22277, "aux.acc_seg": 63.52518, "loss": 0.68114, "time": 0.51519} +{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.4156, "decode.acc_seg": 66.7711, "aux.loss_seg": 0.19945, "aux.acc_seg": 64.95282, "loss": 0.61506, "time": 0.51796} +{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.45453, "decode.acc_seg": 67.21118, "aux.loss_seg": 0.2138, "aux.acc_seg": 65.53004, "loss": 0.66834, "time": 0.51419} +{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.45528, "decode.acc_seg": 67.44855, "aux.loss_seg": 0.21124, "aux.acc_seg": 66.0172, "loss": 0.66652, "time": 0.5207} +{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.47118, "decode.acc_seg": 67.19406, "aux.loss_seg": 0.22714, "aux.acc_seg": 65.24861, "loss": 0.69832, "time": 0.52334} +{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.45989, "decode.acc_seg": 67.18668, "aux.loss_seg": 0.22014, "aux.acc_seg": 65.10544, "loss": 0.68003, "time": 0.51774} +{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.45172, "decode.acc_seg": 66.7581, "aux.loss_seg": 0.21264, "aux.acc_seg": 65.14117, "loss": 0.66436, "time": 0.51463} +{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 22404, "data_time": 0.24927, "decode.loss_seg": 0.43911, "decode.acc_seg": 65.45011, "aux.loss_seg": 0.21295, "aux.acc_seg": 63.29669, "loss": 0.65206, "time": 0.76283} +{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.43124, "decode.acc_seg": 66.51848, "aux.loss_seg": 0.2058, "aux.acc_seg": 64.75109, "loss": 0.63705, "time": 0.51519} +{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.45204, "decode.acc_seg": 67.44105, "aux.loss_seg": 0.21915, "aux.acc_seg": 65.55376, "loss": 0.67119, "time": 0.5163} +{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.44737, "decode.acc_seg": 67.38604, "aux.loss_seg": 0.21394, "aux.acc_seg": 65.27767, "loss": 0.66132, "time": 0.51157} +{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.42993, "decode.acc_seg": 67.0606, "aux.loss_seg": 0.20344, "aux.acc_seg": 65.29772, "loss": 0.63337, "time": 0.5405} +{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.43132, "decode.acc_seg": 67.71626, "aux.loss_seg": 0.20852, "aux.acc_seg": 65.85624, "loss": 0.63984, "time": 0.51199} +{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.47997, "decode.acc_seg": 67.15861, "aux.loss_seg": 0.2287, "aux.acc_seg": 65.28327, "loss": 0.70867, "time": 0.5139} +{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.46015, "decode.acc_seg": 66.20358, "aux.loss_seg": 0.21677, "aux.acc_seg": 64.43886, "loss": 0.67692, "time": 0.51362} +{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.43251, "decode.acc_seg": 67.97774, "aux.loss_seg": 0.21092, "aux.acc_seg": 65.71817, "loss": 0.64344, "time": 0.51124} +{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.41552, "decode.acc_seg": 66.93557, "aux.loss_seg": 0.20252, "aux.acc_seg": 64.96393, "loss": 0.61804, "time": 0.51024} +{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.44998, "decode.acc_seg": 67.36128, "aux.loss_seg": 0.21624, "aux.acc_seg": 65.44742, "loss": 0.66622, "time": 0.51277} +{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.42965, "decode.acc_seg": 65.94802, "aux.loss_seg": 0.20663, "aux.acc_seg": 64.01018, "loss": 0.63628, "time": 0.53577} +{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.45343, "decode.acc_seg": 66.81615, "aux.loss_seg": 0.21705, "aux.acc_seg": 64.73985, "loss": 0.67048, "time": 0.52542} +{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.44937, "decode.acc_seg": 68.15655, "aux.loss_seg": 0.21411, "aux.acc_seg": 66.46265, "loss": 0.66347, "time": 0.53685} +{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.44163, "decode.acc_seg": 65.66863, "aux.loss_seg": 0.21017, "aux.acc_seg": 63.81653, "loss": 0.6518, "time": 0.51343} +{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.455, "decode.acc_seg": 68.21911, "aux.loss_seg": 0.21267, "aux.acc_seg": 66.51905, "loss": 0.66768, "time": 0.5076} +{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.43359, "decode.acc_seg": 67.00186, "aux.loss_seg": 0.20803, "aux.acc_seg": 65.08672, "loss": 0.64162, "time": 0.53559} +{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.45788, "decode.acc_seg": 66.71058, "aux.loss_seg": 0.22274, "aux.acc_seg": 64.6006, "loss": 0.68061, "time": 0.54713} +{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.442, "decode.acc_seg": 66.36296, "aux.loss_seg": 0.21127, "aux.acc_seg": 64.72165, "loss": 0.65327, "time": 0.5297} +{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.44468, "decode.acc_seg": 67.97587, "aux.loss_seg": 0.21146, "aux.acc_seg": 66.1936, "loss": 0.65614, "time": 0.511} +{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.44867, "decode.acc_seg": 66.87987, "aux.loss_seg": 0.21267, "aux.acc_seg": 65.1966, "loss": 0.66134, "time": 0.52484} +{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.43467, "decode.acc_seg": 66.2214, "aux.loss_seg": 0.20346, "aux.acc_seg": 64.83395, "loss": 0.63813, "time": 0.53952} +{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.45378, "decode.acc_seg": 67.39756, "aux.loss_seg": 0.21335, "aux.acc_seg": 65.58601, "loss": 0.66713, "time": 0.5163} +{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.44765, "decode.acc_seg": 67.23586, "aux.loss_seg": 0.21079, "aux.acc_seg": 65.66748, "loss": 0.65844, "time": 0.51033} +{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.44708, "decode.acc_seg": 68.3043, "aux.loss_seg": 0.20832, "aux.acc_seg": 66.80036, "loss": 0.6554, "time": 0.51736} +{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 22404, "data_time": 0.2549, "decode.loss_seg": 0.43264, "decode.acc_seg": 66.59658, "aux.loss_seg": 0.21402, "aux.acc_seg": 64.36499, "loss": 0.64666, "time": 0.76218} +{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.42944, "decode.acc_seg": 68.07821, "aux.loss_seg": 0.20642, "aux.acc_seg": 66.04555, "loss": 0.63586, "time": 0.51859} +{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.41878, "decode.acc_seg": 67.12043, "aux.loss_seg": 0.20349, "aux.acc_seg": 65.05565, "loss": 0.62226, "time": 0.51673} +{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.44662, "decode.acc_seg": 68.07379, "aux.loss_seg": 0.21266, "aux.acc_seg": 66.05866, "loss": 0.65927, "time": 0.53939} +{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.39716, "decode.acc_seg": 67.72674, "aux.loss_seg": 0.19401, "aux.acc_seg": 65.86069, "loss": 0.59117, "time": 0.51446} +{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.43986, "decode.acc_seg": 66.98517, "aux.loss_seg": 0.21155, "aux.acc_seg": 64.90417, "loss": 0.65142, "time": 0.51529} +{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.4422, "decode.acc_seg": 68.28983, "aux.loss_seg": 0.21218, "aux.acc_seg": 66.40898, "loss": 0.65437, "time": 0.51385} +{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.44793, "decode.acc_seg": 67.39599, "aux.loss_seg": 0.21692, "aux.acc_seg": 65.03899, "loss": 0.66486, "time": 0.51708} +{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.43668, "decode.acc_seg": 68.15311, "aux.loss_seg": 0.21229, "aux.acc_seg": 65.91542, "loss": 0.64898, "time": 0.50991} +{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.41956, "decode.acc_seg": 68.39701, "aux.loss_seg": 0.20106, "aux.acc_seg": 66.48199, "loss": 0.62062, "time": 0.50895} +{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.43653, "decode.acc_seg": 68.17647, "aux.loss_seg": 0.21254, "aux.acc_seg": 65.84917, "loss": 0.64907, "time": 0.51116} +{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.43569, "decode.acc_seg": 67.40987, "aux.loss_seg": 0.21198, "aux.acc_seg": 65.36619, "loss": 0.64767, "time": 0.5135} +{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.43981, "decode.acc_seg": 67.31147, "aux.loss_seg": 0.20791, "aux.acc_seg": 65.54754, "loss": 0.64772, "time": 0.5327} +{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.44755, "decode.acc_seg": 68.0715, "aux.loss_seg": 0.21358, "aux.acc_seg": 66.43576, "loss": 0.66113, "time": 0.53741} +{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.42622, "decode.acc_seg": 67.14038, "aux.loss_seg": 0.20512, "aux.acc_seg": 65.67506, "loss": 0.63135, "time": 0.51652} +{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.44248, "decode.acc_seg": 67.33027, "aux.loss_seg": 0.21111, "aux.acc_seg": 65.84278, "loss": 0.65359, "time": 0.52907} +{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.42085, "decode.acc_seg": 67.67633, "aux.loss_seg": 0.20203, "aux.acc_seg": 65.9345, "loss": 0.62289, "time": 0.51578} +{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.43149, "decode.acc_seg": 69.2348, "aux.loss_seg": 0.21074, "aux.acc_seg": 66.84388, "loss": 0.64223, "time": 0.52072} +{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.4554, "decode.acc_seg": 65.95618, "aux.loss_seg": 0.21674, "aux.acc_seg": 64.23116, "loss": 0.67213, "time": 0.53336} +{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.4898, "decode.acc_seg": 66.16965, "aux.loss_seg": 0.23025, "aux.acc_seg": 64.36541, "loss": 0.72005, "time": 0.53816} +{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.44795, "decode.acc_seg": 66.94903, "aux.loss_seg": 0.21336, "aux.acc_seg": 65.09425, "loss": 0.6613, "time": 0.51185} +{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.44419, "decode.acc_seg": 65.40494, "aux.loss_seg": 0.2069, "aux.acc_seg": 63.7112, "loss": 0.65108, "time": 0.509} +{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.44354, "decode.acc_seg": 66.79616, "aux.loss_seg": 0.21264, "aux.acc_seg": 64.75003, "loss": 0.65618, "time": 0.50944} +{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.43649, "decode.acc_seg": 67.61905, "aux.loss_seg": 0.20358, "aux.acc_seg": 66.04685, "loss": 0.64006, "time": 0.51328} +{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.45136, "decode.acc_seg": 66.88212, "aux.loss_seg": 0.21121, "aux.acc_seg": 65.16699, "loss": 0.66257, "time": 0.50833} +{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 22404, "data_time": 0.24675, "decode.loss_seg": 0.44761, "decode.acc_seg": 66.59302, "aux.loss_seg": 0.21245, "aux.acc_seg": 64.74956, "loss": 0.66006, "time": 0.75614} +{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.42764, "decode.acc_seg": 68.43158, "aux.loss_seg": 0.202, "aux.acc_seg": 66.53152, "loss": 0.62964, "time": 0.5293} +{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.42425, "decode.acc_seg": 67.57006, "aux.loss_seg": 0.20589, "aux.acc_seg": 65.55237, "loss": 0.63014, "time": 0.51668} +{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.42959, "decode.acc_seg": 67.67307, "aux.loss_seg": 0.20586, "aux.acc_seg": 65.72021, "loss": 0.63546, "time": 0.51732} +{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.41441, "decode.acc_seg": 68.58608, "aux.loss_seg": 0.20157, "aux.acc_seg": 66.72212, "loss": 0.61598, "time": 0.51285} +{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.40928, "decode.acc_seg": 67.37281, "aux.loss_seg": 0.19683, "aux.acc_seg": 65.4877, "loss": 0.60611, "time": 0.51234} +{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.44165, "decode.acc_seg": 67.24301, "aux.loss_seg": 0.21425, "aux.acc_seg": 65.33387, "loss": 0.6559, "time": 0.54373} +{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.40252, "decode.acc_seg": 66.96422, "aux.loss_seg": 0.1953, "aux.acc_seg": 65.05694, "loss": 0.59781, "time": 0.51284} +{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.4294, "decode.acc_seg": 66.84143, "aux.loss_seg": 0.20645, "aux.acc_seg": 64.78445, "loss": 0.63586, "time": 0.53818} +{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.43007, "decode.acc_seg": 67.71575, "aux.loss_seg": 0.20833, "aux.acc_seg": 65.49713, "loss": 0.63841, "time": 0.52663} +{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.42588, "decode.acc_seg": 67.65153, "aux.loss_seg": 0.2062, "aux.acc_seg": 65.4217, "loss": 0.63208, "time": 0.51532} +{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.44872, "decode.acc_seg": 66.92021, "aux.loss_seg": 0.21074, "aux.acc_seg": 65.44809, "loss": 0.65945, "time": 0.51579} +{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.42173, "decode.acc_seg": 67.49237, "aux.loss_seg": 0.20504, "aux.acc_seg": 65.63095, "loss": 0.62677, "time": 0.50835} +{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.40972, "decode.acc_seg": 67.66266, "aux.loss_seg": 0.19692, "aux.acc_seg": 65.96303, "loss": 0.60664, "time": 0.52145} +{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.42553, "decode.acc_seg": 68.3127, "aux.loss_seg": 0.20359, "aux.acc_seg": 66.28204, "loss": 0.62913, "time": 0.52936} +{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.43285, "decode.acc_seg": 68.00221, "aux.loss_seg": 0.21006, "aux.acc_seg": 66.08885, "loss": 0.64291, "time": 0.51899} +{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.43535, "decode.acc_seg": 68.04461, "aux.loss_seg": 0.21107, "aux.acc_seg": 65.74595, "loss": 0.64642, "time": 0.54329} +{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.42064, "decode.acc_seg": 67.82632, "aux.loss_seg": 0.19699, "aux.acc_seg": 66.08231, "loss": 0.61763, "time": 0.54566} +{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.45996, "decode.acc_seg": 67.63839, "aux.loss_seg": 0.21874, "aux.acc_seg": 65.61626, "loss": 0.6787, "time": 0.52681} +{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.41451, "decode.acc_seg": 68.78702, "aux.loss_seg": 0.19857, "aux.acc_seg": 66.9139, "loss": 0.61308, "time": 0.54537} +{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.41418, "decode.acc_seg": 69.00886, "aux.loss_seg": 0.20255, "aux.acc_seg": 66.81098, "loss": 0.61673, "time": 0.52713} +{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.41852, "decode.acc_seg": 67.07956, "aux.loss_seg": 0.2, "aux.acc_seg": 65.09166, "loss": 0.61852, "time": 0.54307} +{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.42869, "decode.acc_seg": 67.23115, "aux.loss_seg": 0.2043, "aux.acc_seg": 65.1414, "loss": 0.63299, "time": 0.51556} +{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.42448, "decode.acc_seg": 67.55418, "aux.loss_seg": 0.2055, "aux.acc_seg": 65.71533, "loss": 0.62998, "time": 0.50887} +{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.45202, "decode.acc_seg": 67.17626, "aux.loss_seg": 0.21267, "aux.acc_seg": 65.16773, "loss": 0.66469, "time": 0.51208} +{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 22404, "data_time": 0.24499, "decode.loss_seg": 0.46271, "decode.acc_seg": 66.94092, "aux.loss_seg": 0.21888, "aux.acc_seg": 64.93166, "loss": 0.68159, "time": 0.74683} +{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.40021, "decode.acc_seg": 69.19536, "aux.loss_seg": 0.196, "aux.acc_seg": 67.26052, "loss": 0.59621, "time": 0.5289} +{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.40244, "decode.acc_seg": 67.54581, "aux.loss_seg": 0.19687, "aux.acc_seg": 65.52835, "loss": 0.59931, "time": 0.54564} +{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.4226, "decode.acc_seg": 68.61194, "aux.loss_seg": 0.20676, "aux.acc_seg": 66.42295, "loss": 0.62936, "time": 0.53533} +{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 22404, "data_time": 0.00841, "decode.loss_seg": 0.41954, "decode.acc_seg": 70.57597, "aux.loss_seg": 0.2036, "aux.acc_seg": 68.53496, "loss": 0.62314, "time": 0.51849} +{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.40292, "decode.acc_seg": 67.7976, "aux.loss_seg": 0.19285, "aux.acc_seg": 66.09284, "loss": 0.59576, "time": 0.51367} +{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 22404, "data_time": 0.00798, "decode.loss_seg": 0.45202, "decode.acc_seg": 65.97997, "aux.loss_seg": 0.2161, "aux.acc_seg": 64.23467, "loss": 0.66812, "time": 0.53771} +{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.42036, "decode.acc_seg": 68.22265, "aux.loss_seg": 0.20031, "aux.acc_seg": 66.37945, "loss": 0.62067, "time": 0.51305} +{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.43326, "decode.acc_seg": 68.23076, "aux.loss_seg": 0.20568, "aux.acc_seg": 66.34053, "loss": 0.63893, "time": 0.51534} +{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.4186, "decode.acc_seg": 68.3106, "aux.loss_seg": 0.20594, "aux.acc_seg": 66.44088, "loss": 0.62454, "time": 0.53997} +{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.41983, "decode.acc_seg": 67.98872, "aux.loss_seg": 0.20306, "aux.acc_seg": 66.24075, "loss": 0.6229, "time": 0.54733} +{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.40862, "decode.acc_seg": 68.03059, "aux.loss_seg": 0.19726, "aux.acc_seg": 66.2095, "loss": 0.60588, "time": 0.52581} +{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.42364, "decode.acc_seg": 66.7749, "aux.loss_seg": 0.20472, "aux.acc_seg": 64.99066, "loss": 0.62836, "time": 0.52218} +{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.43469, "decode.acc_seg": 67.26526, "aux.loss_seg": 0.21087, "aux.acc_seg": 65.27307, "loss": 0.64556, "time": 0.51691} +{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.40773, "decode.acc_seg": 68.50382, "aux.loss_seg": 0.19333, "aux.acc_seg": 66.73271, "loss": 0.60106, "time": 0.51009} +{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.43743, "decode.acc_seg": 67.09236, "aux.loss_seg": 0.20449, "aux.acc_seg": 65.33403, "loss": 0.64192, "time": 0.50689} +{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.39961, "decode.acc_seg": 67.48206, "aux.loss_seg": 0.19336, "aux.acc_seg": 65.72795, "loss": 0.59297, "time": 0.52753} +{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.41973, "decode.acc_seg": 67.36563, "aux.loss_seg": 0.20705, "aux.acc_seg": 65.08241, "loss": 0.62677, "time": 0.5088} +{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.40772, "decode.acc_seg": 67.16711, "aux.loss_seg": 0.19735, "aux.acc_seg": 65.16594, "loss": 0.60507, "time": 0.52509} +{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.4024, "decode.acc_seg": 68.25992, "aux.loss_seg": 0.19328, "aux.acc_seg": 66.54697, "loss": 0.59568, "time": 0.51131} +{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.40325, "decode.acc_seg": 68.09969, "aux.loss_seg": 0.19495, "aux.acc_seg": 66.26142, "loss": 0.5982, "time": 0.51395} +{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.43454, "decode.acc_seg": 67.42868, "aux.loss_seg": 0.20792, "aux.acc_seg": 65.54992, "loss": 0.64247, "time": 0.54655} +{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.44465, "decode.acc_seg": 65.74767, "aux.loss_seg": 0.21412, "aux.acc_seg": 63.85129, "loss": 0.65877, "time": 0.52258} +{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.41293, "decode.acc_seg": 67.15523, "aux.loss_seg": 0.19942, "aux.acc_seg": 65.2646, "loss": 0.61235, "time": 0.52278} +{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.42757, "decode.acc_seg": 67.03799, "aux.loss_seg": 0.20651, "aux.acc_seg": 65.09012, "loss": 0.63408, "time": 0.52057} +{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.42634, "decode.acc_seg": 67.53899, "aux.loss_seg": 0.20458, "aux.acc_seg": 65.76154, "loss": 0.63092, "time": 0.50648} +{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 22404, "data_time": 0.245, "decode.loss_seg": 0.37137, "decode.acc_seg": 69.05424, "aux.loss_seg": 0.18113, "aux.acc_seg": 67.30435, "loss": 0.5525, "time": 0.74518} +{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.37748, "decode.acc_seg": 69.47798, "aux.loss_seg": 0.18609, "aux.acc_seg": 67.52457, "loss": 0.56357, "time": 0.52372} +{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.40958, "decode.acc_seg": 68.50843, "aux.loss_seg": 0.19899, "aux.acc_seg": 66.52145, "loss": 0.60856, "time": 0.51148} +{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.41681, "decode.acc_seg": 68.01981, "aux.loss_seg": 0.20357, "aux.acc_seg": 65.86063, "loss": 0.62038, "time": 0.53554} +{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.39237, "decode.acc_seg": 68.43596, "aux.loss_seg": 0.19402, "aux.acc_seg": 66.41391, "loss": 0.5864, "time": 0.52618} +{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.39582, "decode.acc_seg": 68.04026, "aux.loss_seg": 0.19505, "aux.acc_seg": 65.8699, "loss": 0.59087, "time": 0.53808} +{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.42985, "decode.acc_seg": 69.72084, "aux.loss_seg": 0.20369, "aux.acc_seg": 68.0082, "loss": 0.63355, "time": 0.54616} +{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.41992, "decode.acc_seg": 68.40327, "aux.loss_seg": 0.2035, "aux.acc_seg": 66.47953, "loss": 0.62343, "time": 0.51181} +{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.40787, "decode.acc_seg": 68.38613, "aux.loss_seg": 0.19713, "aux.acc_seg": 66.46556, "loss": 0.605, "time": 0.51555} +{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.40407, "decode.acc_seg": 67.65674, "aux.loss_seg": 0.19838, "aux.acc_seg": 65.62721, "loss": 0.60245, "time": 0.51616} +{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.4041, "decode.acc_seg": 67.68284, "aux.loss_seg": 0.20041, "aux.acc_seg": 65.5317, "loss": 0.60451, "time": 0.53332} +{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.38407, "decode.acc_seg": 67.69658, "aux.loss_seg": 0.18663, "aux.acc_seg": 65.89662, "loss": 0.5707, "time": 0.54551} +{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.40536, "decode.acc_seg": 67.87382, "aux.loss_seg": 0.196, "aux.acc_seg": 65.95777, "loss": 0.60136, "time": 0.52047} +{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.43262, "decode.acc_seg": 66.75007, "aux.loss_seg": 0.20613, "aux.acc_seg": 64.95896, "loss": 0.63875, "time": 0.51359} +{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.41054, "decode.acc_seg": 67.35879, "aux.loss_seg": 0.19879, "aux.acc_seg": 65.68847, "loss": 0.60933, "time": 0.55028} +{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.40129, "decode.acc_seg": 68.41911, "aux.loss_seg": 0.19123, "aux.acc_seg": 66.50004, "loss": 0.59252, "time": 0.53452} +{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.42891, "decode.acc_seg": 68.37467, "aux.loss_seg": 0.20762, "aux.acc_seg": 66.35804, "loss": 0.63653, "time": 0.52188} +{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.41153, "decode.acc_seg": 67.28105, "aux.loss_seg": 0.20335, "aux.acc_seg": 64.88908, "loss": 0.61488, "time": 0.50795} +{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.41923, "decode.acc_seg": 67.46483, "aux.loss_seg": 0.20395, "aux.acc_seg": 65.43229, "loss": 0.62318, "time": 0.50914} +{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.42236, "decode.acc_seg": 67.84808, "aux.loss_seg": 0.20313, "aux.acc_seg": 65.93107, "loss": 0.62549, "time": 0.51997} +{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.39272, "decode.acc_seg": 68.85699, "aux.loss_seg": 0.19235, "aux.acc_seg": 66.80978, "loss": 0.58507, "time": 0.51948} +{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.41066, "decode.acc_seg": 69.52217, "aux.loss_seg": 0.1981, "aux.acc_seg": 67.47753, "loss": 0.60876, "time": 0.51499} +{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.41631, "decode.acc_seg": 68.28021, "aux.loss_seg": 0.19807, "aux.acc_seg": 66.61706, "loss": 0.61437, "time": 0.53421} +{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.41614, "decode.acc_seg": 67.02869, "aux.loss_seg": 0.1994, "aux.acc_seg": 64.78759, "loss": 0.61554, "time": 0.52163} +{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.42051, "decode.acc_seg": 68.09582, "aux.loss_seg": 0.20361, "aux.acc_seg": 65.99294, "loss": 0.62412, "time": 0.5103} +{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 22404, "data_time": 0.2467, "decode.loss_seg": 0.39399, "decode.acc_seg": 69.59176, "aux.loss_seg": 0.19691, "aux.acc_seg": 67.47685, "loss": 0.5909, "time": 0.75866} +{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.3938, "decode.acc_seg": 68.3377, "aux.loss_seg": 0.19247, "aux.acc_seg": 66.3304, "loss": 0.58627, "time": 0.52042} +{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.39802, "decode.acc_seg": 69.42868, "aux.loss_seg": 0.19327, "aux.acc_seg": 67.61406, "loss": 0.59129, "time": 0.51121} +{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.40284, "decode.acc_seg": 68.33515, "aux.loss_seg": 0.19817, "aux.acc_seg": 66.29081, "loss": 0.60101, "time": 0.52878} +{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.37125, "decode.acc_seg": 68.41268, "aux.loss_seg": 0.1819, "aux.acc_seg": 66.67358, "loss": 0.55315, "time": 0.51022} +{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.40294, "decode.acc_seg": 68.43, "aux.loss_seg": 0.19877, "aux.acc_seg": 66.09739, "loss": 0.60171, "time": 0.53535} +{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.39509, "decode.acc_seg": 68.82054, "aux.loss_seg": 0.19239, "aux.acc_seg": 66.84172, "loss": 0.58747, "time": 0.53467} +{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.37321, "decode.acc_seg": 68.7116, "aux.loss_seg": 0.186, "aux.acc_seg": 66.63014, "loss": 0.55921, "time": 0.53243} +{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 22404, "data_time": 0.00812, "decode.loss_seg": 0.37699, "decode.acc_seg": 66.70142, "aux.loss_seg": 0.18462, "aux.acc_seg": 65.01254, "loss": 0.56161, "time": 0.52677} +{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.36747, "decode.acc_seg": 67.03303, "aux.loss_seg": 0.17958, "aux.acc_seg": 65.28726, "loss": 0.54704, "time": 0.52055} +{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.39603, "decode.acc_seg": 69.25634, "aux.loss_seg": 0.19287, "aux.acc_seg": 67.26631, "loss": 0.5889, "time": 0.50821} +{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.42961, "decode.acc_seg": 67.95671, "aux.loss_seg": 0.20466, "aux.acc_seg": 66.32878, "loss": 0.63427, "time": 0.51888} +{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.39473, "decode.acc_seg": 68.1012, "aux.loss_seg": 0.19247, "aux.acc_seg": 66.14386, "loss": 0.58721, "time": 0.52081} +{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.38312, "decode.acc_seg": 68.45685, "aux.loss_seg": 0.18219, "aux.acc_seg": 66.79811, "loss": 0.56531, "time": 0.51408} +{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.41348, "decode.acc_seg": 66.53693, "aux.loss_seg": 0.19967, "aux.acc_seg": 64.72292, "loss": 0.61314, "time": 0.53438} +{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.40342, "decode.acc_seg": 68.84809, "aux.loss_seg": 0.19531, "aux.acc_seg": 67.01076, "loss": 0.59873, "time": 0.51924} +{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.38842, "decode.acc_seg": 67.1571, "aux.loss_seg": 0.1871, "aux.acc_seg": 65.51734, "loss": 0.57552, "time": 0.51875} +{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.41958, "decode.acc_seg": 67.45485, "aux.loss_seg": 0.20071, "aux.acc_seg": 65.6018, "loss": 0.62029, "time": 0.53186} +{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.39076, "decode.acc_seg": 68.92594, "aux.loss_seg": 0.19014, "aux.acc_seg": 66.95209, "loss": 0.5809, "time": 0.50742} +{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.39368, "decode.acc_seg": 69.76968, "aux.loss_seg": 0.19321, "aux.acc_seg": 67.95317, "loss": 0.58689, "time": 0.5139} +{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.38423, "decode.acc_seg": 67.031, "aux.loss_seg": 0.18811, "aux.acc_seg": 65.24508, "loss": 0.57234, "time": 0.51172} +{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.40067, "decode.acc_seg": 68.40968, "aux.loss_seg": 0.19282, "aux.acc_seg": 66.64962, "loss": 0.59348, "time": 0.53381} +{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.39744, "decode.acc_seg": 68.84177, "aux.loss_seg": 0.19326, "aux.acc_seg": 66.90682, "loss": 0.59071, "time": 0.51374} +{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.42548, "decode.acc_seg": 67.91846, "aux.loss_seg": 0.20738, "aux.acc_seg": 65.9774, "loss": 0.63287, "time": 0.53865} +{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.42282, "decode.acc_seg": 67.8557, "aux.loss_seg": 0.20131, "aux.acc_seg": 66.06333, "loss": 0.62413, "time": 0.51557} +{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 22404, "data_time": 0.24362, "decode.loss_seg": 0.40342, "decode.acc_seg": 67.63298, "aux.loss_seg": 0.19657, "aux.acc_seg": 65.40299, "loss": 0.59999, "time": 0.75787} +{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.39529, "decode.acc_seg": 69.8285, "aux.loss_seg": 0.19494, "aux.acc_seg": 67.83007, "loss": 0.59023, "time": 0.50888} +{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.39736, "decode.acc_seg": 67.17254, "aux.loss_seg": 0.19377, "aux.acc_seg": 65.16189, "loss": 0.59113, "time": 0.51034} +{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.3654, "decode.acc_seg": 70.18461, "aux.loss_seg": 0.18247, "aux.acc_seg": 68.06583, "loss": 0.54787, "time": 0.51183} +{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.38416, "decode.acc_seg": 68.0704, "aux.loss_seg": 0.19153, "aux.acc_seg": 65.98897, "loss": 0.57568, "time": 0.53844} +{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.40192, "decode.acc_seg": 67.57066, "aux.loss_seg": 0.19832, "aux.acc_seg": 65.50377, "loss": 0.60024, "time": 0.54441} +{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.3995, "decode.acc_seg": 68.64102, "aux.loss_seg": 0.19252, "aux.acc_seg": 66.96082, "loss": 0.59202, "time": 0.51875} +{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.38625, "decode.acc_seg": 70.0933, "aux.loss_seg": 0.18831, "aux.acc_seg": 68.10023, "loss": 0.57456, "time": 0.53452} +{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.40352, "decode.acc_seg": 70.34587, "aux.loss_seg": 0.19602, "aux.acc_seg": 68.26427, "loss": 0.59954, "time": 0.51136} +{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.42637, "decode.acc_seg": 69.26636, "aux.loss_seg": 0.2071, "aux.acc_seg": 67.29188, "loss": 0.63347, "time": 0.52399} +{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.3752, "decode.acc_seg": 68.017, "aux.loss_seg": 0.18004, "aux.acc_seg": 66.20431, "loss": 0.55524, "time": 0.54477} +{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.39176, "decode.acc_seg": 69.75274, "aux.loss_seg": 0.19052, "aux.acc_seg": 67.64666, "loss": 0.58228, "time": 0.53809} +{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.39279, "decode.acc_seg": 68.59773, "aux.loss_seg": 0.18907, "aux.acc_seg": 66.94498, "loss": 0.58186, "time": 0.53045} +{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.38964, "decode.acc_seg": 67.72004, "aux.loss_seg": 0.19162, "aux.acc_seg": 65.64731, "loss": 0.58127, "time": 0.52386} +{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.40573, "decode.acc_seg": 69.52605, "aux.loss_seg": 0.19336, "aux.acc_seg": 67.54527, "loss": 0.59909, "time": 0.53701} +{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.38357, "decode.acc_seg": 68.0126, "aux.loss_seg": 0.1832, "aux.acc_seg": 66.26312, "loss": 0.56677, "time": 0.51593} +{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.39655, "decode.acc_seg": 69.27788, "aux.loss_seg": 0.19249, "aux.acc_seg": 67.33464, "loss": 0.58904, "time": 0.51343} +{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.39209, "decode.acc_seg": 67.17346, "aux.loss_seg": 0.18709, "aux.acc_seg": 65.49995, "loss": 0.57918, "time": 0.51759} +{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.38383, "decode.acc_seg": 68.55708, "aux.loss_seg": 0.18667, "aux.acc_seg": 66.65169, "loss": 0.5705, "time": 0.53624} +{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.40472, "decode.acc_seg": 67.71598, "aux.loss_seg": 0.19743, "aux.acc_seg": 65.70977, "loss": 0.60215, "time": 0.53627} +{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.40128, "decode.acc_seg": 67.69591, "aux.loss_seg": 0.19235, "aux.acc_seg": 65.66088, "loss": 0.59363, "time": 0.51926} +{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.38394, "decode.acc_seg": 68.11354, "aux.loss_seg": 0.18706, "aux.acc_seg": 66.15221, "loss": 0.571, "time": 0.51653} +{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.39929, "decode.acc_seg": 68.21667, "aux.loss_seg": 0.19458, "aux.acc_seg": 66.25178, "loss": 0.59387, "time": 0.52068} +{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.3954, "decode.acc_seg": 68.75202, "aux.loss_seg": 0.19335, "aux.acc_seg": 66.65253, "loss": 0.58875, "time": 0.52442} +{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.40945, "decode.acc_seg": 67.72515, "aux.loss_seg": 0.20158, "aux.acc_seg": 65.41451, "loss": 0.61102, "time": 0.51341} +{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 22404, "data_time": 0.24677, "decode.loss_seg": 0.406, "decode.acc_seg": 69.1752, "aux.loss_seg": 0.19675, "aux.acc_seg": 67.13525, "loss": 0.60275, "time": 0.75527} +{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.37891, "decode.acc_seg": 68.86759, "aux.loss_seg": 0.1827, "aux.acc_seg": 67.26345, "loss": 0.56161, "time": 0.53455} +{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 22404, "data_time": 0.00846, "decode.loss_seg": 0.35657, "decode.acc_seg": 70.58952, "aux.loss_seg": 0.17258, "aux.acc_seg": 68.89046, "loss": 0.52915, "time": 0.53509} +{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.38881, "decode.acc_seg": 67.72839, "aux.loss_seg": 0.18769, "aux.acc_seg": 65.77857, "loss": 0.5765, "time": 0.51999} +{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.37551, "decode.acc_seg": 68.49172, "aux.loss_seg": 0.18536, "aux.acc_seg": 66.55264, "loss": 0.56088, "time": 0.53498} +{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.37681, "decode.acc_seg": 68.43429, "aux.loss_seg": 0.18475, "aux.acc_seg": 66.30728, "loss": 0.56155, "time": 0.52562} +{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.38448, "decode.acc_seg": 70.04641, "aux.loss_seg": 0.18772, "aux.acc_seg": 67.91371, "loss": 0.5722, "time": 0.50831} +{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.36281, "decode.acc_seg": 70.76057, "aux.loss_seg": 0.17984, "aux.acc_seg": 68.73928, "loss": 0.54265, "time": 0.5172} +{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.39222, "decode.acc_seg": 68.51388, "aux.loss_seg": 0.19251, "aux.acc_seg": 66.55352, "loss": 0.58473, "time": 0.51153} +{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.40904, "decode.acc_seg": 68.59475, "aux.loss_seg": 0.19922, "aux.acc_seg": 66.43656, "loss": 0.60827, "time": 0.51961} +{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.40849, "decode.acc_seg": 68.62653, "aux.loss_seg": 0.19517, "aux.acc_seg": 66.78625, "loss": 0.60366, "time": 0.51159} +{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.41282, "decode.acc_seg": 67.99714, "aux.loss_seg": 0.2014, "aux.acc_seg": 65.93512, "loss": 0.61423, "time": 0.50902} +{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.40785, "decode.acc_seg": 69.27363, "aux.loss_seg": 0.19727, "aux.acc_seg": 67.20338, "loss": 0.60513, "time": 0.51556} +{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.40564, "decode.acc_seg": 69.40589, "aux.loss_seg": 0.19807, "aux.acc_seg": 67.46087, "loss": 0.60372, "time": 0.51724} +{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.41657, "decode.acc_seg": 70.53424, "aux.loss_seg": 0.19996, "aux.acc_seg": 68.65808, "loss": 0.61653, "time": 0.51057} +{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.37637, "decode.acc_seg": 68.53273, "aux.loss_seg": 0.18414, "aux.acc_seg": 66.50398, "loss": 0.56051, "time": 0.51428} +{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.36576, "decode.acc_seg": 68.55858, "aux.loss_seg": 0.17817, "aux.acc_seg": 66.65868, "loss": 0.54393, "time": 0.53714} +{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.39643, "decode.acc_seg": 68.53207, "aux.loss_seg": 0.19245, "aux.acc_seg": 66.46341, "loss": 0.58887, "time": 0.51178} +{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.38017, "decode.acc_seg": 67.09716, "aux.loss_seg": 0.18231, "aux.acc_seg": 65.26774, "loss": 0.56249, "time": 0.51024} +{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.40909, "decode.acc_seg": 68.3461, "aux.loss_seg": 0.19599, "aux.acc_seg": 66.38407, "loss": 0.60508, "time": 0.51091} +{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.38266, "decode.acc_seg": 68.71783, "aux.loss_seg": 0.18849, "aux.acc_seg": 66.77677, "loss": 0.57115, "time": 0.51222} +{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.38866, "decode.acc_seg": 69.49072, "aux.loss_seg": 0.19284, "aux.acc_seg": 67.21525, "loss": 0.5815, "time": 0.51198} +{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.40618, "decode.acc_seg": 69.81461, "aux.loss_seg": 0.1986, "aux.acc_seg": 67.72484, "loss": 0.60479, "time": 0.52119} +{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.39043, "decode.acc_seg": 69.05879, "aux.loss_seg": 0.19037, "aux.acc_seg": 66.89424, "loss": 0.5808, "time": 0.5377} +{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.36013, "decode.acc_seg": 68.40825, "aux.loss_seg": 0.1807, "aux.acc_seg": 66.38156, "loss": 0.54082, "time": 0.51065} +{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.41386, "decode.acc_seg": 68.98687, "aux.loss_seg": 0.19782, "aux.acc_seg": 67.29112, "loss": 0.61168, "time": 0.52079} +{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 22404, "data_time": 0.24423, "decode.loss_seg": 0.37781, "decode.acc_seg": 68.9087, "aux.loss_seg": 0.18404, "aux.acc_seg": 67.03731, "loss": 0.56185, "time": 0.75721} +{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.3884, "decode.acc_seg": 68.7321, "aux.loss_seg": 0.19186, "aux.acc_seg": 66.85956, "loss": 0.58026, "time": 0.5138} +{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.3793, "decode.acc_seg": 70.08069, "aux.loss_seg": 0.19007, "aux.acc_seg": 67.67592, "loss": 0.56937, "time": 0.51921} +{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.36253, "decode.acc_seg": 70.87975, "aux.loss_seg": 0.18004, "aux.acc_seg": 68.93762, "loss": 0.54258, "time": 0.51603} +{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.37577, "decode.acc_seg": 68.45006, "aux.loss_seg": 0.18449, "aux.acc_seg": 66.5804, "loss": 0.56026, "time": 0.51816} +{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.3782, "decode.acc_seg": 68.41956, "aux.loss_seg": 0.18669, "aux.acc_seg": 66.57391, "loss": 0.56489, "time": 0.51784} +{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.36719, "decode.acc_seg": 67.89316, "aux.loss_seg": 0.18116, "aux.acc_seg": 65.85924, "loss": 0.54835, "time": 0.51611} +{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.3859, "decode.acc_seg": 68.50727, "aux.loss_seg": 0.19291, "aux.acc_seg": 66.11411, "loss": 0.57881, "time": 0.51217} +{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.38001, "decode.acc_seg": 68.04274, "aux.loss_seg": 0.18534, "aux.acc_seg": 66.06745, "loss": 0.56535, "time": 0.51088} +{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.37711, "decode.acc_seg": 68.11097, "aux.loss_seg": 0.18461, "aux.acc_seg": 66.08452, "loss": 0.56171, "time": 0.51107} +{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.38654, "decode.acc_seg": 68.48688, "aux.loss_seg": 0.1894, "aux.acc_seg": 66.52109, "loss": 0.57595, "time": 0.51146} +{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.36204, "decode.acc_seg": 70.08169, "aux.loss_seg": 0.17822, "aux.acc_seg": 68.02395, "loss": 0.54026, "time": 0.50888} +{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.387, "decode.acc_seg": 68.99771, "aux.loss_seg": 0.18591, "aux.acc_seg": 67.31892, "loss": 0.57291, "time": 0.51452} +{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.38522, "decode.acc_seg": 67.8845, "aux.loss_seg": 0.18682, "aux.acc_seg": 65.71403, "loss": 0.57204, "time": 0.51399} +{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.37299, "decode.acc_seg": 67.73805, "aux.loss_seg": 0.18272, "aux.acc_seg": 65.85219, "loss": 0.55572, "time": 0.50838} +{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.38648, "decode.acc_seg": 69.7373, "aux.loss_seg": 0.19201, "aux.acc_seg": 67.77466, "loss": 0.57849, "time": 0.52002} +{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.36669, "decode.acc_seg": 70.31057, "aux.loss_seg": 0.17986, "aux.acc_seg": 68.36942, "loss": 0.54655, "time": 0.51369} +{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.37689, "decode.acc_seg": 69.12395, "aux.loss_seg": 0.18525, "aux.acc_seg": 66.9918, "loss": 0.56215, "time": 0.51413} +{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.3803, "decode.acc_seg": 68.11469, "aux.loss_seg": 0.18614, "aux.acc_seg": 66.20943, "loss": 0.56644, "time": 0.50779} +{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.38342, "decode.acc_seg": 68.51655, "aux.loss_seg": 0.18855, "aux.acc_seg": 66.4489, "loss": 0.57197, "time": 0.51563} +{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.38047, "decode.acc_seg": 68.23652, "aux.loss_seg": 0.18157, "aux.acc_seg": 66.57062, "loss": 0.56204, "time": 0.51674} +{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.38073, "decode.acc_seg": 69.99735, "aux.loss_seg": 0.18507, "aux.acc_seg": 68.01226, "loss": 0.5658, "time": 0.52039} +{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.38714, "decode.acc_seg": 68.535, "aux.loss_seg": 0.19118, "aux.acc_seg": 66.64253, "loss": 0.57833, "time": 0.50828} +{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.3691, "decode.acc_seg": 67.79187, "aux.loss_seg": 0.1824, "aux.acc_seg": 65.62338, "loss": 0.55149, "time": 0.53567} +{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.36887, "decode.acc_seg": 70.2855, "aux.loss_seg": 0.17981, "aux.acc_seg": 68.64041, "loss": 0.54868, "time": 0.54132} +{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 22404, "data_time": 0.24474, "decode.loss_seg": 0.38001, "decode.acc_seg": 67.88677, "aux.loss_seg": 0.18369, "aux.acc_seg": 66.19587, "loss": 0.5637, "time": 0.75659} +{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.37697, "decode.acc_seg": 68.93572, "aux.loss_seg": 0.1854, "aux.acc_seg": 67.04665, "loss": 0.56237, "time": 0.5471} +{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.38313, "decode.acc_seg": 70.33498, "aux.loss_seg": 0.18789, "aux.acc_seg": 68.23801, "loss": 0.57103, "time": 0.52349} +{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.36804, "decode.acc_seg": 68.26941, "aux.loss_seg": 0.18302, "aux.acc_seg": 66.25271, "loss": 0.55106, "time": 0.52174} +{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.36263, "decode.acc_seg": 70.41471, "aux.loss_seg": 0.18204, "aux.acc_seg": 68.19545, "loss": 0.54467, "time": 0.51281} +{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.37738, "decode.acc_seg": 67.31856, "aux.loss_seg": 0.18232, "aux.acc_seg": 65.44782, "loss": 0.5597, "time": 0.51291} +{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.35533, "decode.acc_seg": 69.98812, "aux.loss_seg": 0.17479, "aux.acc_seg": 68.1283, "loss": 0.53012, "time": 0.51252} +{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.38108, "decode.acc_seg": 68.68182, "aux.loss_seg": 0.18127, "aux.acc_seg": 67.00865, "loss": 0.56235, "time": 0.51869} +{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4313, "mAcc": 0.5594, "aAcc": 0.8025, "IoU.wall": 0.7382, "IoU.building": 0.8103, "IoU.sky": 0.9352, "IoU.floor": 0.7895, "IoU.tree": 0.7072, "IoU.ceiling": 0.8235, "IoU.road": 0.8115, "IoU.bed ": 0.8367, "IoU.windowpane": 0.5731, "IoU.grass": 0.6199, "IoU.cabinet": 0.5719, "IoU.sidewalk": 0.608, "IoU.person": 0.7516, "IoU.earth": 0.2718, "IoU.door": 0.4462, "IoU.table": 0.5208, "IoU.mountain": 0.5684, "IoU.plant": 0.4697, "IoU.curtain": 0.6727, "IoU.chair": 0.4988, "IoU.car": 0.8117, "IoU.water": 0.4814, "IoU.painting": 0.6464, "IoU.sofa": 0.5435, "IoU.shelf": 0.4014, "IoU.house": 0.5155, "IoU.sea": 0.5446, "IoU.mirror": 0.5511, "IoU.rug": 0.5872, "IoU.field": 0.2147, "IoU.armchair": 0.2791, "IoU.seat": 0.5787, "IoU.fence": 0.4376, "IoU.desk": 0.4414, "IoU.rock": 0.3755, "IoU.wardrobe": 0.4604, "IoU.lamp": 0.5341, "IoU.bathtub": 0.6872, "IoU.railing": 0.3206, "IoU.cushion": 0.4625, "IoU.base": 0.2576, "IoU.box": 0.2268, "IoU.column": 0.3838, "IoU.signboard": 0.3287, "IoU.chest of drawers": 0.3686, "IoU.counter": 0.2769, "IoU.sand": 0.3525, "IoU.sink": 0.6389, "IoU.skyscraper": 0.5275, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6301, "IoU.grandstand": 0.4087, "IoU.path": 0.2005, "IoU.stairs": 0.3053, "IoU.runway": 0.7142, "IoU.case": 0.4536, "IoU.pool table": 0.9043, "IoU.pillow": 0.4952, "IoU.screen door": 0.6227, "IoU.stairway": 0.3362, "IoU.river": 0.1627, "IoU.bridge": 0.6644, "IoU.bookcase": 0.339, "IoU.blind": NaN, "IoU.coffee table": 0.5074, "IoU.toilet": 0.7875, "IoU.flower": 0.3228, "IoU.book": 0.4122, "IoU.hill": 0.0402, "IoU.bench": 0.4224, "IoU.countertop": 0.4974, "IoU.stove": 0.6424, "IoU.palm": 0.4593, "IoU.kitchen island": 0.2775, "IoU.computer": 0.5528, "IoU.swivel chair": 0.3921, "IoU.boat": 0.3747, "IoU.bar": 0.3292, "IoU.arcade machine": 0.7548, "IoU.hovel": 0.4104, "IoU.bus": 0.6034, "IoU.towel": 0.5455, "IoU.light": 0.409, "IoU.truck": 0.2385, "IoU.tower": 0.2724, "IoU.chandelier": 0.5868, "IoU.awning": 0.2172, "IoU.streetlight": 0.1834, "IoU.booth": 0.4744, "IoU.television receiver": NaN, "IoU.airplane": 0.5453, "IoU.dirt track": 0.0218, "IoU.apparel": 0.2437, "IoU.pole": 0.1484, "IoU.land": 0.0325, "IoU.bannister": 0.1443, "IoU.escalator": 0.5644, "IoU.ottoman": 0.3452, "IoU.bottle": NaN, "IoU.buffet": 0.4446, "IoU.poster": 0.2039, "IoU.stage": 0.1496, "IoU.van": 0.3812, "IoU.ship": 0.5919, "IoU.fountain": 0.177, "IoU.conveyer belt": 0.5531, "IoU.canopy": 0.1317, "IoU.washer": 0.722, "IoU.plaything": 0.2363, "IoU.swimming pool": 0.5307, "IoU.stool": 0.2554, "IoU.barrel": 0.3913, "IoU.basket": 0.2606, "IoU.waterfall": 0.4765, "IoU.tent": 0.7358, "IoU.bag": 0.0892, "IoU.minibike": 0.5847, "IoU.cradle": NaN, "IoU.oven": 0.0762, "IoU.ball": 0.4041, "IoU.food": 0.5386, "IoU.step": 0.0314, "IoU.tank": 0.4825, "IoU.trade name": 0.1101, "IoU.microwave": 0.406, "IoU.pot": 0.4571, "IoU.animal": NaN, "IoU.bicycle": 0.5127, "IoU.lake": 0.5965, "IoU.dishwasher": 0.3753, "IoU.screen": 0.6967, "IoU.blanket": 0.0487, "IoU.sculpture": 0.4184, "IoU.hood": 0.4842, "IoU.sconce": 0.2889, "IoU.vase": 0.306, "IoU.traffic light": 0.1852, "IoU.tray": 0.0185, "IoU.ashcan": 0.3527, "IoU.fan": 0.4774, "IoU.pier": 0.3291, "IoU.crt screen": 0.043, "IoU.plate": 0.4747, "IoU.monitor": 0.2451, "IoU.bulletin board": 0.4576, "IoU.shower": 0.0, "IoU.radiator": 0.5371, "IoU.glass": 0.083, "IoU.clock": 0.2343, "IoU.flag": 0.2643, "Acc.wall": 0.8535, "Acc.building": 0.9036, "Acc.sky": 0.9698, "Acc.floor": 0.8777, "Acc.tree": 0.8925, "Acc.ceiling": 0.9215, "Acc.road": 0.902, "Acc.bed ": 0.95, "Acc.windowpane": 0.7579, "Acc.grass": 0.7558, "Acc.cabinet": 0.6769, "Acc.sidewalk": 0.7522, "Acc.person": 0.9043, "Acc.earth": 0.3695, "Acc.door": 0.6272, "Acc.table": 0.7115, "Acc.mountain": 0.7392, "Acc.plant": 0.5391, "Acc.curtain": 0.8229, "Acc.chair": 0.6758, "Acc.car": 0.9046, "Acc.water": 0.5607, "Acc.painting": 0.812, "Acc.sofa": 0.7715, "Acc.shelf": 0.5689, "Acc.house": 0.704, "Acc.sea": 0.8298, "Acc.mirror": 0.6284, "Acc.rug": 0.7141, "Acc.field": 0.4817, "Acc.armchair": 0.3991, "Acc.seat": 0.7532, "Acc.fence": 0.6881, "Acc.desk": 0.597, "Acc.rock": 0.5368, "Acc.wardrobe": 0.5823, "Acc.lamp": 0.6868, "Acc.bathtub": 0.7694, "Acc.railing": 0.4189, "Acc.cushion": 0.5873, "Acc.base": 0.3691, "Acc.box": 0.2969, "Acc.column": 0.5614, "Acc.signboard": 0.4686, "Acc.chest of drawers": 0.5441, "Acc.counter": 0.346, "Acc.sand": 0.525, "Acc.sink": 0.7407, "Acc.skyscraper": 0.6854, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8288, "Acc.grandstand": 0.675, "Acc.path": 0.2917, "Acc.stairs": 0.3773, "Acc.runway": 0.9504, "Acc.case": 0.6959, "Acc.pool table": 0.9585, "Acc.pillow": 0.6815, "Acc.screen door": 0.8025, "Acc.stairway": 0.3908, "Acc.river": 0.4474, "Acc.bridge": 0.809, "Acc.bookcase": 0.4195, "Acc.blind": NaN, "Acc.coffee table": 0.7966, "Acc.toilet": 0.8617, "Acc.flower": 0.4652, "Acc.book": 0.5427, "Acc.hill": 0.0987, "Acc.bench": 0.5297, "Acc.countertop": 0.6097, "Acc.stove": 0.8063, "Acc.palm": 0.6258, "Acc.kitchen island": 0.8233, "Acc.computer": 0.6315, "Acc.swivel chair": 0.4984, "Acc.boat": 0.4361, "Acc.bar": 0.3941, "Acc.arcade machine": 0.8511, "Acc.hovel": 0.6969, "Acc.bus": 0.6381, "Acc.towel": 0.6757, "Acc.light": 0.4377, "Acc.truck": 0.3321, "Acc.tower": 0.4465, "Acc.chandelier": 0.7731, "Acc.awning": 0.2693, "Acc.streetlight": 0.2298, "Acc.booth": 0.5697, "Acc.television receiver": NaN, "Acc.airplane": 0.6484, "Acc.dirt track": 0.0272, "Acc.apparel": 0.3829, "Acc.pole": 0.2084, "Acc.land": 0.0467, "Acc.bannister": 0.2017, "Acc.escalator": 0.7619, "Acc.ottoman": 0.5313, "Acc.bottle": NaN, "Acc.buffet": 0.5373, "Acc.poster": 0.2679, "Acc.stage": 0.2636, "Acc.van": 0.5305, "Acc.ship": 0.9642, "Acc.fountain": 0.1908, "Acc.conveyer belt": 0.6513, "Acc.canopy": 0.1793, "Acc.washer": 0.7475, "Acc.plaything": 0.3544, "Acc.swimming pool": 0.8646, "Acc.stool": 0.2907, "Acc.barrel": 0.744, "Acc.basket": 0.3068, "Acc.waterfall": 0.9175, "Acc.tent": 0.9738, "Acc.bag": 0.1167, "Acc.minibike": 0.79, "Acc.cradle": NaN, "Acc.oven": 0.1571, "Acc.ball": 0.4928, "Acc.food": 0.6832, "Acc.step": 0.0332, "Acc.tank": 0.5999, "Acc.trade name": 0.1129, "Acc.microwave": 0.4684, "Acc.pot": 0.5073, "Acc.animal": NaN, "Acc.bicycle": 0.7129, "Acc.lake": 0.7117, "Acc.dishwasher": 0.4786, "Acc.screen": 0.8763, "Acc.blanket": 0.0545, "Acc.sculpture": 0.5468, "Acc.hood": 0.627, "Acc.sconce": 0.3234, "Acc.vase": 0.414, "Acc.traffic light": 0.3168, "Acc.tray": 0.0353, "Acc.ashcan": 0.4516, "Acc.fan": 0.5916, "Acc.pier": 0.392, "Acc.crt screen": 0.0684, "Acc.plate": 0.5866, "Acc.monitor": 0.4642, "Acc.bulletin board": 0.5762, "Acc.shower": 0.0, "Acc.radiator": 0.6145, "Acc.glass": 0.0864, "Acc.clock": 0.2837, "Acc.flag": 0.2879} +{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 22404, "data_time": 1.55321, "decode.loss_seg": 0.35122, "decode.acc_seg": 68.42136, "aux.loss_seg": 0.16973, "aux.acc_seg": 66.63246, "loss": 0.52096, "time": 2.06545} +{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.37556, "decode.acc_seg": 68.61592, "aux.loss_seg": 0.18507, "aux.acc_seg": 66.6252, "loss": 0.56063, "time": 0.5173} +{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.37416, "decode.acc_seg": 69.00153, "aux.loss_seg": 0.18335, "aux.acc_seg": 67.04986, "loss": 0.55751, "time": 0.52221} +{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.37363, "decode.acc_seg": 68.46377, "aux.loss_seg": 0.18526, "aux.acc_seg": 66.27706, "loss": 0.55889, "time": 0.51829} +{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.36047, "decode.acc_seg": 68.25062, "aux.loss_seg": 0.17966, "aux.acc_seg": 66.07202, "loss": 0.54013, "time": 0.51368} +{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.35383, "decode.acc_seg": 69.5424, "aux.loss_seg": 0.17484, "aux.acc_seg": 67.58398, "loss": 0.52866, "time": 0.50779} +{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.39288, "decode.acc_seg": 69.41284, "aux.loss_seg": 0.19486, "aux.acc_seg": 67.22691, "loss": 0.58774, "time": 0.51253} +{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.35943, "decode.acc_seg": 69.09911, "aux.loss_seg": 0.17577, "aux.acc_seg": 67.38934, "loss": 0.5352, "time": 0.50926} +{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.37061, "decode.acc_seg": 68.66796, "aux.loss_seg": 0.18345, "aux.acc_seg": 66.65392, "loss": 0.55406, "time": 0.51112} +{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.38064, "decode.acc_seg": 70.29435, "aux.loss_seg": 0.18822, "aux.acc_seg": 68.40336, "loss": 0.56886, "time": 0.53947} +{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.38136, "decode.acc_seg": 69.68505, "aux.loss_seg": 0.18768, "aux.acc_seg": 67.4264, "loss": 0.56903, "time": 0.54619} +{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.39095, "decode.acc_seg": 67.45306, "aux.loss_seg": 0.19344, "aux.acc_seg": 65.34872, "loss": 0.58438, "time": 0.54357} +{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 22404, "data_time": 0.00629, "decode.loss_seg": 0.35287, "decode.acc_seg": 69.81089, "aux.loss_seg": 0.17546, "aux.acc_seg": 67.55336, "loss": 0.52833, "time": 0.54118} +{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.38693, "decode.acc_seg": 69.05269, "aux.loss_seg": 0.19003, "aux.acc_seg": 66.96727, "loss": 0.57696, "time": 0.51714} +{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.3785, "decode.acc_seg": 68.95081, "aux.loss_seg": 0.18361, "aux.acc_seg": 67.19223, "loss": 0.56211, "time": 0.53479} +{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.37707, "decode.acc_seg": 70.39208, "aux.loss_seg": 0.18445, "aux.acc_seg": 68.321, "loss": 0.56152, "time": 0.52446} +{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 22404, "data_time": 0.24198, "decode.loss_seg": 0.36654, "decode.acc_seg": 70.10604, "aux.loss_seg": 0.18157, "aux.acc_seg": 68.23706, "loss": 0.54811, "time": 0.73949} +{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.34939, "decode.acc_seg": 70.09487, "aux.loss_seg": 0.17421, "aux.acc_seg": 68.10144, "loss": 0.5236, "time": 0.51853} +{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.34356, "decode.acc_seg": 69.91709, "aux.loss_seg": 0.17001, "aux.acc_seg": 67.99901, "loss": 0.51357, "time": 0.51339} +{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.34587, "decode.acc_seg": 69.78082, "aux.loss_seg": 0.17134, "aux.acc_seg": 67.65107, "loss": 0.51721, "time": 0.51639} +{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.39079, "decode.acc_seg": 67.55394, "aux.loss_seg": 0.18731, "aux.acc_seg": 65.84829, "loss": 0.57809, "time": 0.50951} +{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.3913, "decode.acc_seg": 67.01021, "aux.loss_seg": 0.18898, "aux.acc_seg": 65.23616, "loss": 0.58028, "time": 0.51375} +{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 22404, "data_time": 0.00626, "decode.loss_seg": 0.37357, "decode.acc_seg": 67.74659, "aux.loss_seg": 0.18314, "aux.acc_seg": 65.71408, "loss": 0.55671, "time": 0.51128} +{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.35991, "decode.acc_seg": 69.58306, "aux.loss_seg": 0.17519, "aux.acc_seg": 67.77757, "loss": 0.5351, "time": 0.5343} +{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.34468, "decode.acc_seg": 70.20043, "aux.loss_seg": 0.17389, "aux.acc_seg": 68.06931, "loss": 0.51857, "time": 0.53288} +{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.37261, "decode.acc_seg": 69.79832, "aux.loss_seg": 0.1802, "aux.acc_seg": 68.06305, "loss": 0.55281, "time": 0.51541} +{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.371, "decode.acc_seg": 68.4886, "aux.loss_seg": 0.18206, "aux.acc_seg": 66.58388, "loss": 0.55306, "time": 0.53252} +{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.37817, "decode.acc_seg": 68.38946, "aux.loss_seg": 0.18388, "aux.acc_seg": 66.46773, "loss": 0.56205, "time": 0.54555} +{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.35976, "decode.acc_seg": 68.74801, "aux.loss_seg": 0.17845, "aux.acc_seg": 66.58932, "loss": 0.53821, "time": 0.52183} +{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.3792, "decode.acc_seg": 69.45871, "aux.loss_seg": 0.18421, "aux.acc_seg": 67.62838, "loss": 0.56341, "time": 0.51295} +{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.35471, "decode.acc_seg": 69.43266, "aux.loss_seg": 0.17967, "aux.acc_seg": 67.1195, "loss": 0.53437, "time": 0.53048} +{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.37511, "decode.acc_seg": 71.09852, "aux.loss_seg": 0.18444, "aux.acc_seg": 69.11147, "loss": 0.55954, "time": 0.51935} +{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.34855, "decode.acc_seg": 70.72834, "aux.loss_seg": 0.17308, "aux.acc_seg": 68.66069, "loss": 0.52162, "time": 0.5101} +{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.37842, "decode.acc_seg": 70.30587, "aux.loss_seg": 0.1888, "aux.acc_seg": 68.03816, "loss": 0.56722, "time": 0.51104} +{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.36916, "decode.acc_seg": 70.39719, "aux.loss_seg": 0.18105, "aux.acc_seg": 68.76245, "loss": 0.55021, "time": 0.50589} +{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.35705, "decode.acc_seg": 69.41869, "aux.loss_seg": 0.17635, "aux.acc_seg": 67.22847, "loss": 0.53339, "time": 0.51965} +{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.36158, "decode.acc_seg": 69.30722, "aux.loss_seg": 0.18283, "aux.acc_seg": 66.87992, "loss": 0.54441, "time": 0.52514} +{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.35305, "decode.acc_seg": 69.3246, "aux.loss_seg": 0.17847, "aux.acc_seg": 67.38854, "loss": 0.53152, "time": 0.51759} +{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.36172, "decode.acc_seg": 70.05124, "aux.loss_seg": 0.17552, "aux.acc_seg": 68.36178, "loss": 0.53724, "time": 0.51116} +{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.38476, "decode.acc_seg": 69.14967, "aux.loss_seg": 0.18605, "aux.acc_seg": 67.01229, "loss": 0.57081, "time": 0.52537} +{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.39106, "decode.acc_seg": 69.09927, "aux.loss_seg": 0.19169, "aux.acc_seg": 67.06522, "loss": 0.58274, "time": 0.54327} +{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.37331, "decode.acc_seg": 69.63724, "aux.loss_seg": 0.18194, "aux.acc_seg": 67.9934, "loss": 0.55526, "time": 0.54254} +{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 22404, "data_time": 0.24542, "decode.loss_seg": 0.36712, "decode.acc_seg": 68.42049, "aux.loss_seg": 0.18348, "aux.acc_seg": 66.11392, "loss": 0.5506, "time": 0.77633} +{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.35069, "decode.acc_seg": 69.73967, "aux.loss_seg": 0.17204, "aux.acc_seg": 67.79262, "loss": 0.52274, "time": 0.51978} +{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 22404, "data_time": 0.00614, "decode.loss_seg": 0.35968, "decode.acc_seg": 70.71843, "aux.loss_seg": 0.181, "aux.acc_seg": 68.30453, "loss": 0.54068, "time": 0.53054} +{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.34467, "decode.acc_seg": 70.16424, "aux.loss_seg": 0.16905, "aux.acc_seg": 68.43826, "loss": 0.51372, "time": 0.51756} +{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.34961, "decode.acc_seg": 70.14735, "aux.loss_seg": 0.17501, "aux.acc_seg": 68.13356, "loss": 0.52462, "time": 0.51447} +{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.3542, "decode.acc_seg": 68.9367, "aux.loss_seg": 0.178, "aux.acc_seg": 66.77936, "loss": 0.5322, "time": 0.51424} +{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.33771, "decode.acc_seg": 69.39604, "aux.loss_seg": 0.16551, "aux.acc_seg": 67.56722, "loss": 0.50322, "time": 0.54398} +{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.365, "decode.acc_seg": 69.48781, "aux.loss_seg": 0.18222, "aux.acc_seg": 67.41045, "loss": 0.54723, "time": 0.528} +{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.34706, "decode.acc_seg": 69.60064, "aux.loss_seg": 0.17327, "aux.acc_seg": 67.61556, "loss": 0.52034, "time": 0.52595} +{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.36468, "decode.acc_seg": 68.8832, "aux.loss_seg": 0.18409, "aux.acc_seg": 66.9411, "loss": 0.54876, "time": 0.52369} +{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.3569, "decode.acc_seg": 69.57167, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.75753, "loss": 0.53144, "time": 0.5118} +{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 22404, "data_time": 0.00621, "decode.loss_seg": 0.36065, "decode.acc_seg": 68.59661, "aux.loss_seg": 0.18309, "aux.acc_seg": 66.27427, "loss": 0.54373, "time": 0.50834} +{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.34218, "decode.acc_seg": 70.09252, "aux.loss_seg": 0.17076, "aux.acc_seg": 67.88374, "loss": 0.51294, "time": 0.53524} +{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 22404, "data_time": 0.0066, "decode.loss_seg": 0.35853, "decode.acc_seg": 69.66142, "aux.loss_seg": 0.17705, "aux.acc_seg": 67.90187, "loss": 0.53558, "time": 0.5226} +{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.34913, "decode.acc_seg": 70.77078, "aux.loss_seg": 0.174, "aux.acc_seg": 68.74367, "loss": 0.52313, "time": 0.52646} +{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.36667, "decode.acc_seg": 69.91978, "aux.loss_seg": 0.18206, "aux.acc_seg": 67.96459, "loss": 0.54873, "time": 0.50689} +{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 22404, "data_time": 0.00629, "decode.loss_seg": 0.35534, "decode.acc_seg": 69.60449, "aux.loss_seg": 0.1764, "aux.acc_seg": 67.76224, "loss": 0.53174, "time": 0.5187} +{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.3606, "decode.acc_seg": 69.95823, "aux.loss_seg": 0.17946, "aux.acc_seg": 67.79178, "loss": 0.54007, "time": 0.51391} +{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.34557, "decode.acc_seg": 70.73624, "aux.loss_seg": 0.17361, "aux.acc_seg": 68.56741, "loss": 0.51919, "time": 0.51224} +{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.3599, "decode.acc_seg": 70.37728, "aux.loss_seg": 0.17622, "aux.acc_seg": 68.69679, "loss": 0.53612, "time": 0.51308} +{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.36415, "decode.acc_seg": 69.6894, "aux.loss_seg": 0.17593, "aux.acc_seg": 67.58968, "loss": 0.54008, "time": 0.51287} +{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.38779, "decode.acc_seg": 69.22713, "aux.loss_seg": 0.18801, "aux.acc_seg": 67.22479, "loss": 0.57579, "time": 0.52727} +{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.37339, "decode.acc_seg": 69.91776, "aux.loss_seg": 0.18199, "aux.acc_seg": 68.02663, "loss": 0.55538, "time": 0.52657} +{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.34335, "decode.acc_seg": 68.78926, "aux.loss_seg": 0.17145, "aux.acc_seg": 66.8618, "loss": 0.51481, "time": 0.5145} +{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.35918, "decode.acc_seg": 70.08792, "aux.loss_seg": 0.17801, "aux.acc_seg": 68.04335, "loss": 0.53719, "time": 0.51617} +{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 22404, "data_time": 0.2451, "decode.loss_seg": 0.34455, "decode.acc_seg": 70.36678, "aux.loss_seg": 0.17129, "aux.acc_seg": 68.31894, "loss": 0.51585, "time": 0.74529} +{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.36184, "decode.acc_seg": 69.53674, "aux.loss_seg": 0.1802, "aux.acc_seg": 67.39566, "loss": 0.54203, "time": 0.53418} +{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.33198, "decode.acc_seg": 69.37169, "aux.loss_seg": 0.16998, "aux.acc_seg": 67.11027, "loss": 0.50197, "time": 0.51625} +{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.35392, "decode.acc_seg": 70.60959, "aux.loss_seg": 0.1752, "aux.acc_seg": 68.73566, "loss": 0.52912, "time": 0.51301} +{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.35686, "decode.acc_seg": 69.7356, "aux.loss_seg": 0.17954, "aux.acc_seg": 67.5758, "loss": 0.5364, "time": 0.51354} +{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.37813, "decode.acc_seg": 70.7932, "aux.loss_seg": 0.18445, "aux.acc_seg": 68.9147, "loss": 0.56258, "time": 0.52332} +{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.35495, "decode.acc_seg": 69.61847, "aux.loss_seg": 0.16923, "aux.acc_seg": 68.06386, "loss": 0.52418, "time": 0.51565} +{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.34345, "decode.acc_seg": 69.44855, "aux.loss_seg": 0.17182, "aux.acc_seg": 67.53432, "loss": 0.51527, "time": 0.51549} +{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.3468, "decode.acc_seg": 69.55402, "aux.loss_seg": 0.17056, "aux.acc_seg": 67.69295, "loss": 0.51736, "time": 0.51207} +{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.34724, "decode.acc_seg": 68.90973, "aux.loss_seg": 0.17243, "aux.acc_seg": 66.89123, "loss": 0.51966, "time": 0.50984} +{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.34024, "decode.acc_seg": 69.79822, "aux.loss_seg": 0.1734, "aux.acc_seg": 67.58723, "loss": 0.51364, "time": 0.53277} +{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.3459, "decode.acc_seg": 70.66686, "aux.loss_seg": 0.17243, "aux.acc_seg": 68.59078, "loss": 0.51834, "time": 0.52727} +{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.35484, "decode.acc_seg": 70.19214, "aux.loss_seg": 0.17701, "aux.acc_seg": 68.15485, "loss": 0.53185, "time": 0.54361} +{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.34483, "decode.acc_seg": 70.05236, "aux.loss_seg": 0.17031, "aux.acc_seg": 68.19553, "loss": 0.51514, "time": 0.52209} +{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 22404, "data_time": 0.00877, "decode.loss_seg": 0.36242, "decode.acc_seg": 68.28573, "aux.loss_seg": 0.18152, "aux.acc_seg": 66.2725, "loss": 0.54394, "time": 0.54272} +{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.35904, "decode.acc_seg": 68.78524, "aux.loss_seg": 0.17983, "aux.acc_seg": 66.66505, "loss": 0.53887, "time": 0.53149} +{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.36418, "decode.acc_seg": 69.75444, "aux.loss_seg": 0.18512, "aux.acc_seg": 67.48704, "loss": 0.5493, "time": 0.53926} +{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.3686, "decode.acc_seg": 69.77808, "aux.loss_seg": 0.18247, "aux.acc_seg": 67.76947, "loss": 0.55107, "time": 0.50968} +{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.37697, "decode.acc_seg": 69.38787, "aux.loss_seg": 0.18629, "aux.acc_seg": 67.37805, "loss": 0.56326, "time": 0.5359} +{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 22404, "data_time": 0.00838, "decode.loss_seg": 0.35696, "decode.acc_seg": 68.82598, "aux.loss_seg": 0.17446, "aux.acc_seg": 67.08165, "loss": 0.53142, "time": 0.51315} +{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.34778, "decode.acc_seg": 69.19772, "aux.loss_seg": 0.17225, "aux.acc_seg": 67.26465, "loss": 0.52003, "time": 0.5291} +{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.32518, "decode.acc_seg": 68.19478, "aux.loss_seg": 0.16208, "aux.acc_seg": 66.28662, "loss": 0.48726, "time": 0.53314} +{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.35078, "decode.acc_seg": 68.81987, "aux.loss_seg": 0.17492, "aux.acc_seg": 66.92958, "loss": 0.5257, "time": 0.52744} +{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.34847, "decode.acc_seg": 69.77613, "aux.loss_seg": 0.17564, "aux.acc_seg": 67.77028, "loss": 0.52411, "time": 0.53345} +{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.35335, "decode.acc_seg": 70.82843, "aux.loss_seg": 0.17397, "aux.acc_seg": 68.91858, "loss": 0.52732, "time": 0.51098} +{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 22404, "data_time": 0.24608, "decode.loss_seg": 0.36178, "decode.acc_seg": 70.65404, "aux.loss_seg": 0.1723, "aux.acc_seg": 68.92521, "loss": 0.53408, "time": 0.74579} +{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 22404, "data_time": 0.0081, "decode.loss_seg": 0.33453, "decode.acc_seg": 69.87653, "aux.loss_seg": 0.16861, "aux.acc_seg": 67.83634, "loss": 0.50313, "time": 0.52671} +{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 22404, "data_time": 0.00819, "decode.loss_seg": 0.3351, "decode.acc_seg": 70.45954, "aux.loss_seg": 0.16766, "aux.acc_seg": 68.47249, "loss": 0.50276, "time": 0.50812} +{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.35367, "decode.acc_seg": 70.33546, "aux.loss_seg": 0.17555, "aux.acc_seg": 68.26285, "loss": 0.52922, "time": 0.51377} +{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.31542, "decode.acc_seg": 70.15265, "aux.loss_seg": 0.15841, "aux.acc_seg": 68.14677, "loss": 0.47383, "time": 0.52132} +{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.3257, "decode.acc_seg": 70.39741, "aux.loss_seg": 0.16365, "aux.acc_seg": 68.32057, "loss": 0.48936, "time": 0.51555} +{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.33536, "decode.acc_seg": 69.25469, "aux.loss_seg": 0.16542, "aux.acc_seg": 67.62519, "loss": 0.50078, "time": 0.50913} +{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.32749, "decode.acc_seg": 70.40261, "aux.loss_seg": 0.16508, "aux.acc_seg": 68.34325, "loss": 0.49257, "time": 0.51027} +{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.3351, "decode.acc_seg": 70.47619, "aux.loss_seg": 0.16851, "aux.acc_seg": 68.29213, "loss": 0.50361, "time": 0.51929} +{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.34209, "decode.acc_seg": 71.62712, "aux.loss_seg": 0.17153, "aux.acc_seg": 69.64925, "loss": 0.51362, "time": 0.52812} +{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.36441, "decode.acc_seg": 69.01528, "aux.loss_seg": 0.18286, "aux.acc_seg": 66.9729, "loss": 0.54727, "time": 0.52687} +{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.3454, "decode.acc_seg": 70.5764, "aux.loss_seg": 0.17561, "aux.acc_seg": 68.59513, "loss": 0.52101, "time": 0.51038} +{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.34208, "decode.acc_seg": 69.09375, "aux.loss_seg": 0.16919, "aux.acc_seg": 67.27218, "loss": 0.51127, "time": 0.50655} +{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.33989, "decode.acc_seg": 70.87217, "aux.loss_seg": 0.17215, "aux.acc_seg": 68.71662, "loss": 0.51205, "time": 0.50787} +{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.34785, "decode.acc_seg": 69.60443, "aux.loss_seg": 0.17374, "aux.acc_seg": 67.41029, "loss": 0.5216, "time": 0.50821} +{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.34795, "decode.acc_seg": 69.91784, "aux.loss_seg": 0.17174, "aux.acc_seg": 68.04655, "loss": 0.51969, "time": 0.5161} +{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.34082, "decode.acc_seg": 69.88393, "aux.loss_seg": 0.16848, "aux.acc_seg": 67.93697, "loss": 0.50929, "time": 0.52234} +{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.33825, "decode.acc_seg": 70.30013, "aux.loss_seg": 0.16904, "aux.acc_seg": 68.33462, "loss": 0.50728, "time": 0.52067} +{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.35207, "decode.acc_seg": 70.3268, "aux.loss_seg": 0.1724, "aux.acc_seg": 68.66083, "loss": 0.52447, "time": 0.51023} +{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.35262, "decode.acc_seg": 69.82364, "aux.loss_seg": 0.17084, "aux.acc_seg": 68.20822, "loss": 0.52346, "time": 0.5135} +{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.36064, "decode.acc_seg": 68.98338, "aux.loss_seg": 0.18014, "aux.acc_seg": 67.06244, "loss": 0.54078, "time": 0.51279} +{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.3439, "decode.acc_seg": 68.43885, "aux.loss_seg": 0.17193, "aux.acc_seg": 66.31263, "loss": 0.51583, "time": 0.50924} +{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.33592, "decode.acc_seg": 70.63972, "aux.loss_seg": 0.16736, "aux.acc_seg": 68.62405, "loss": 0.50328, "time": 0.53596} +{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.36835, "decode.acc_seg": 69.64691, "aux.loss_seg": 0.18075, "aux.acc_seg": 67.66079, "loss": 0.5491, "time": 0.52247} +{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.35739, "decode.acc_seg": 69.4481, "aux.loss_seg": 0.1782, "aux.acc_seg": 67.30674, "loss": 0.53559, "time": 0.52121} +{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 22404, "data_time": 0.24461, "decode.loss_seg": 0.35208, "decode.acc_seg": 69.13782, "aux.loss_seg": 0.17082, "aux.acc_seg": 67.4158, "loss": 0.5229, "time": 0.75946} +{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.31644, "decode.acc_seg": 70.58675, "aux.loss_seg": 0.15924, "aux.acc_seg": 68.64033, "loss": 0.47567, "time": 0.50865} +{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.31637, "decode.acc_seg": 70.87479, "aux.loss_seg": 0.15641, "aux.acc_seg": 69.15984, "loss": 0.47278, "time": 0.52211} +{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.33469, "decode.acc_seg": 69.33083, "aux.loss_seg": 0.1667, "aux.acc_seg": 67.36106, "loss": 0.50139, "time": 0.52685} +{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.34067, "decode.acc_seg": 70.5916, "aux.loss_seg": 0.17237, "aux.acc_seg": 68.17179, "loss": 0.51303, "time": 0.50998} +{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.33173, "decode.acc_seg": 69.56644, "aux.loss_seg": 0.16571, "aux.acc_seg": 67.5734, "loss": 0.49743, "time": 0.515} +{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.32223, "decode.acc_seg": 70.65172, "aux.loss_seg": 0.16372, "aux.acc_seg": 68.74812, "loss": 0.48594, "time": 0.53393} +{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.34265, "decode.acc_seg": 69.61404, "aux.loss_seg": 0.17427, "aux.acc_seg": 67.43532, "loss": 0.51692, "time": 0.51613} +{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.33636, "decode.acc_seg": 70.46564, "aux.loss_seg": 0.16813, "aux.acc_seg": 68.32453, "loss": 0.50449, "time": 0.51955} +{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.33224, "decode.acc_seg": 71.3639, "aux.loss_seg": 0.16651, "aux.acc_seg": 69.40873, "loss": 0.49874, "time": 0.51423} +{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.35596, "decode.acc_seg": 68.90086, "aux.loss_seg": 0.17931, "aux.acc_seg": 66.57689, "loss": 0.53528, "time": 0.52335} +{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.34556, "decode.acc_seg": 69.12417, "aux.loss_seg": 0.17015, "aux.acc_seg": 67.19645, "loss": 0.51571, "time": 0.50606} +{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.34579, "decode.acc_seg": 71.15932, "aux.loss_seg": 0.16837, "aux.acc_seg": 69.43169, "loss": 0.51417, "time": 0.53204} +{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.35688, "decode.acc_seg": 68.72462, "aux.loss_seg": 0.17233, "aux.acc_seg": 66.89899, "loss": 0.52922, "time": 0.50505} +{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.35486, "decode.acc_seg": 69.57826, "aux.loss_seg": 0.17733, "aux.acc_seg": 67.53792, "loss": 0.53218, "time": 0.51385} +{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.3433, "decode.acc_seg": 70.16347, "aux.loss_seg": 0.17175, "aux.acc_seg": 68.02556, "loss": 0.51505, "time": 0.50923} +{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.36156, "decode.acc_seg": 68.78846, "aux.loss_seg": 0.17569, "aux.acc_seg": 67.02405, "loss": 0.53725, "time": 0.52546} +{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.3312, "decode.acc_seg": 69.00711, "aux.loss_seg": 0.1652, "aux.acc_seg": 67.0321, "loss": 0.49639, "time": 0.51554} +{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.35448, "decode.acc_seg": 70.33912, "aux.loss_seg": 0.1754, "aux.acc_seg": 68.34431, "loss": 0.52987, "time": 0.53642} +{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.3834, "decode.acc_seg": 69.16495, "aux.loss_seg": 0.18615, "aux.acc_seg": 67.21799, "loss": 0.56955, "time": 0.54746} +{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.34633, "decode.acc_seg": 70.31084, "aux.loss_seg": 0.17512, "aux.acc_seg": 68.05883, "loss": 0.52145, "time": 0.54866} +{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.36302, "decode.acc_seg": 70.47608, "aux.loss_seg": 0.17551, "aux.acc_seg": 68.64612, "loss": 0.53853, "time": 0.52744} +{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.33889, "decode.acc_seg": 70.23371, "aux.loss_seg": 0.16855, "aux.acc_seg": 68.43107, "loss": 0.50744, "time": 0.50791} +{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.33555, "decode.acc_seg": 70.04123, "aux.loss_seg": 0.16505, "aux.acc_seg": 68.35953, "loss": 0.5006, "time": 0.51439} +{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.3534, "decode.acc_seg": 70.79798, "aux.loss_seg": 0.17416, "aux.acc_seg": 68.98037, "loss": 0.52756, "time": 0.50532} +{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.33442, "decode.acc_seg": 69.51805, "aux.loss_seg": 0.1676, "aux.acc_seg": 67.56898, "loss": 0.50202, "time": 0.50185} +{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 22404, "data_time": 0.24922, "decode.loss_seg": 0.31512, "decode.acc_seg": 71.18461, "aux.loss_seg": 0.16022, "aux.acc_seg": 69.16741, "loss": 0.47534, "time": 0.76408} +{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.33933, "decode.acc_seg": 68.50521, "aux.loss_seg": 0.17068, "aux.acc_seg": 66.49374, "loss": 0.51, "time": 0.53978} +{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.33828, "decode.acc_seg": 70.98038, "aux.loss_seg": 0.16919, "aux.acc_seg": 69.00913, "loss": 0.50747, "time": 0.50953} +{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.34158, "decode.acc_seg": 70.27421, "aux.loss_seg": 0.16893, "aux.acc_seg": 68.51253, "loss": 0.51051, "time": 0.51413} +{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.32886, "decode.acc_seg": 69.4332, "aux.loss_seg": 0.16642, "aux.acc_seg": 67.31981, "loss": 0.49528, "time": 0.51043} +{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.34092, "decode.acc_seg": 71.43058, "aux.loss_seg": 0.17314, "aux.acc_seg": 69.16078, "loss": 0.51405, "time": 0.51867} +{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.33694, "decode.acc_seg": 70.12459, "aux.loss_seg": 0.16729, "aux.acc_seg": 68.44252, "loss": 0.50423, "time": 0.50531} +{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.35473, "decode.acc_seg": 70.47658, "aux.loss_seg": 0.17328, "aux.acc_seg": 68.34981, "loss": 0.52801, "time": 0.53946} +{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.29932, "decode.acc_seg": 70.82804, "aux.loss_seg": 0.1505, "aux.acc_seg": 68.89753, "loss": 0.44982, "time": 0.54346} +{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.345, "decode.acc_seg": 69.60089, "aux.loss_seg": 0.16975, "aux.acc_seg": 67.68415, "loss": 0.51475, "time": 0.53588} +{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.33513, "decode.acc_seg": 70.12767, "aux.loss_seg": 0.1639, "aux.acc_seg": 68.53292, "loss": 0.49903, "time": 0.52832} +{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.31191, "decode.acc_seg": 70.57121, "aux.loss_seg": 0.15735, "aux.acc_seg": 68.62225, "loss": 0.46926, "time": 0.51018} +{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.32943, "decode.acc_seg": 71.32598, "aux.loss_seg": 0.16377, "aux.acc_seg": 69.34417, "loss": 0.49319, "time": 0.5366} +{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.33495, "decode.acc_seg": 71.1464, "aux.loss_seg": 0.16452, "aux.acc_seg": 69.29986, "loss": 0.49947, "time": 0.50615} +{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.3374, "decode.acc_seg": 69.53251, "aux.loss_seg": 0.16902, "aux.acc_seg": 67.5596, "loss": 0.50643, "time": 0.50625} +{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.32048, "decode.acc_seg": 70.52849, "aux.loss_seg": 0.16152, "aux.acc_seg": 68.67042, "loss": 0.48201, "time": 0.52341} +{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.32875, "decode.acc_seg": 70.2866, "aux.loss_seg": 0.16483, "aux.acc_seg": 68.28553, "loss": 0.49359, "time": 0.51784} +{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.32252, "decode.acc_seg": 69.09074, "aux.loss_seg": 0.16226, "aux.acc_seg": 67.1318, "loss": 0.48478, "time": 0.51135} +{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.34613, "decode.acc_seg": 70.10765, "aux.loss_seg": 0.16968, "aux.acc_seg": 68.31814, "loss": 0.51582, "time": 0.51408} +{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.36594, "decode.acc_seg": 68.90404, "aux.loss_seg": 0.17762, "aux.acc_seg": 66.97447, "loss": 0.54357, "time": 0.51226} +{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.32233, "decode.acc_seg": 70.37326, "aux.loss_seg": 0.1642, "aux.acc_seg": 68.15454, "loss": 0.48653, "time": 0.51195} +{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.36529, "decode.acc_seg": 69.10886, "aux.loss_seg": 0.18099, "aux.acc_seg": 66.92724, "loss": 0.54627, "time": 0.53768} +{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.34673, "decode.acc_seg": 69.4454, "aux.loss_seg": 0.17467, "aux.acc_seg": 67.51744, "loss": 0.5214, "time": 0.53277} +{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.32752, "decode.acc_seg": 69.84312, "aux.loss_seg": 0.16284, "aux.acc_seg": 67.97281, "loss": 0.49036, "time": 0.53907} +{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.32524, "decode.acc_seg": 69.81278, "aux.loss_seg": 0.16588, "aux.acc_seg": 67.49914, "loss": 0.49112, "time": 0.52031} +{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 22404, "data_time": 0.24613, "decode.loss_seg": 0.32085, "decode.acc_seg": 71.09348, "aux.loss_seg": 0.16001, "aux.acc_seg": 69.15402, "loss": 0.48086, "time": 0.74455} +{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 22404, "data_time": 0.00813, "decode.loss_seg": 0.33122, "decode.acc_seg": 70.704, "aux.loss_seg": 0.16579, "aux.acc_seg": 68.76942, "loss": 0.49701, "time": 0.53738} +{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.34421, "decode.acc_seg": 69.80415, "aux.loss_seg": 0.17337, "aux.acc_seg": 67.60264, "loss": 0.51758, "time": 0.51061} +{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.34265, "decode.acc_seg": 68.88948, "aux.loss_seg": 0.17124, "aux.acc_seg": 66.93265, "loss": 0.5139, "time": 0.50847} +{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.31939, "decode.acc_seg": 72.07344, "aux.loss_seg": 0.16129, "aux.acc_seg": 70.06163, "loss": 0.48069, "time": 0.51099} +{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.33241, "decode.acc_seg": 70.1732, "aux.loss_seg": 0.16706, "aux.acc_seg": 68.17975, "loss": 0.49947, "time": 0.50888} +{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.33978, "decode.acc_seg": 72.86393, "aux.loss_seg": 0.17199, "aux.acc_seg": 70.71521, "loss": 0.51177, "time": 0.51617} +{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.32396, "decode.acc_seg": 70.53792, "aux.loss_seg": 0.16161, "aux.acc_seg": 68.90982, "loss": 0.48557, "time": 0.50653} +{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.31206, "decode.acc_seg": 68.98947, "aux.loss_seg": 0.15516, "aux.acc_seg": 67.3083, "loss": 0.46723, "time": 0.52256} +{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.33093, "decode.acc_seg": 69.8781, "aux.loss_seg": 0.16889, "aux.acc_seg": 67.49816, "loss": 0.49982, "time": 0.50791} +{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.31428, "decode.acc_seg": 70.13145, "aux.loss_seg": 0.15738, "aux.acc_seg": 68.11006, "loss": 0.47166, "time": 0.51071} +{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.34892, "decode.acc_seg": 71.47195, "aux.loss_seg": 0.17307, "aux.acc_seg": 69.34797, "loss": 0.52199, "time": 0.51132} +{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.32714, "decode.acc_seg": 69.35468, "aux.loss_seg": 0.16451, "aux.acc_seg": 67.35567, "loss": 0.49165, "time": 0.52147} +{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.32594, "decode.acc_seg": 70.04108, "aux.loss_seg": 0.16235, "aux.acc_seg": 67.89729, "loss": 0.48829, "time": 0.54576} +{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 22404, "data_time": 0.00813, "decode.loss_seg": 0.35128, "decode.acc_seg": 69.51491, "aux.loss_seg": 0.17107, "aux.acc_seg": 67.59086, "loss": 0.52235, "time": 0.54293} +{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.3364, "decode.acc_seg": 70.84987, "aux.loss_seg": 0.1698, "aux.acc_seg": 68.66967, "loss": 0.5062, "time": 0.54026} +{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.34794, "decode.acc_seg": 69.93833, "aux.loss_seg": 0.17034, "aux.acc_seg": 67.89859, "loss": 0.51828, "time": 0.53301} +{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.33429, "decode.acc_seg": 69.7694, "aux.loss_seg": 0.16603, "aux.acc_seg": 67.79176, "loss": 0.50032, "time": 0.5384} +{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.31415, "decode.acc_seg": 70.95633, "aux.loss_seg": 0.16107, "aux.acc_seg": 68.71836, "loss": 0.47521, "time": 0.52577} +{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 22404, "data_time": 0.00835, "decode.loss_seg": 0.3455, "decode.acc_seg": 70.36492, "aux.loss_seg": 0.17336, "aux.acc_seg": 68.39919, "loss": 0.51886, "time": 0.51009} +{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.32119, "decode.acc_seg": 70.33075, "aux.loss_seg": 0.16155, "aux.acc_seg": 68.41467, "loss": 0.48275, "time": 0.51654} +{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.34385, "decode.acc_seg": 70.67726, "aux.loss_seg": 0.1698, "aux.acc_seg": 68.8342, "loss": 0.51365, "time": 0.54015} +{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.33657, "decode.acc_seg": 70.94784, "aux.loss_seg": 0.16449, "aux.acc_seg": 69.30099, "loss": 0.50106, "time": 0.53336} +{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.32601, "decode.acc_seg": 70.98996, "aux.loss_seg": 0.16398, "aux.acc_seg": 68.88611, "loss": 0.48999, "time": 0.54367} +{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 22404, "data_time": 0.00816, "decode.loss_seg": 0.32713, "decode.acc_seg": 69.61183, "aux.loss_seg": 0.16578, "aux.acc_seg": 67.55849, "loss": 0.49291, "time": 0.54453} +{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 22404, "data_time": 0.25745, "decode.loss_seg": 0.31553, "decode.acc_seg": 70.13223, "aux.loss_seg": 0.15732, "aux.acc_seg": 68.40995, "loss": 0.47284, "time": 0.77529} +{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.34541, "decode.acc_seg": 70.61216, "aux.loss_seg": 0.17497, "aux.acc_seg": 68.63603, "loss": 0.52038, "time": 0.51054} +{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.32191, "decode.acc_seg": 72.14301, "aux.loss_seg": 0.1615, "aux.acc_seg": 70.19406, "loss": 0.48341, "time": 0.50882} +{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.31745, "decode.acc_seg": 70.7187, "aux.loss_seg": 0.16459, "aux.acc_seg": 68.69042, "loss": 0.48204, "time": 0.50726} +{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.30087, "decode.acc_seg": 70.36008, "aux.loss_seg": 0.15304, "aux.acc_seg": 68.34147, "loss": 0.45391, "time": 0.51892} +{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.31004, "decode.acc_seg": 71.12104, "aux.loss_seg": 0.15866, "aux.acc_seg": 69.12771, "loss": 0.4687, "time": 0.51244} +{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.34281, "decode.acc_seg": 71.38494, "aux.loss_seg": 0.17012, "aux.acc_seg": 69.32279, "loss": 0.51292, "time": 0.51314} +{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.32646, "decode.acc_seg": 70.00971, "aux.loss_seg": 0.16727, "aux.acc_seg": 67.8458, "loss": 0.49373, "time": 0.51109} +{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.32874, "decode.acc_seg": 70.54954, "aux.loss_seg": 0.16491, "aux.acc_seg": 68.51116, "loss": 0.49365, "time": 0.51792} +{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 22404, "data_time": 0.0081, "decode.loss_seg": 0.32705, "decode.acc_seg": 69.90397, "aux.loss_seg": 0.16473, "aux.acc_seg": 67.90535, "loss": 0.49178, "time": 0.51921} +{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.30764, "decode.acc_seg": 71.50446, "aux.loss_seg": 0.15441, "aux.acc_seg": 69.63118, "loss": 0.46204, "time": 0.51499} +{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.30739, "decode.acc_seg": 71.39969, "aux.loss_seg": 0.15653, "aux.acc_seg": 69.46602, "loss": 0.46392, "time": 0.51438} +{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.33597, "decode.acc_seg": 69.86379, "aux.loss_seg": 0.16957, "aux.acc_seg": 67.63982, "loss": 0.50554, "time": 0.51581} +{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.30564, "decode.acc_seg": 70.43658, "aux.loss_seg": 0.15566, "aux.acc_seg": 68.38364, "loss": 0.4613, "time": 0.51521} +{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.33736, "decode.acc_seg": 70.76608, "aux.loss_seg": 0.16813, "aux.acc_seg": 68.74023, "loss": 0.50549, "time": 0.53961} +{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.32574, "decode.acc_seg": 71.19274, "aux.loss_seg": 0.16071, "aux.acc_seg": 69.42313, "loss": 0.48645, "time": 0.50833} +{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.31682, "decode.acc_seg": 70.1482, "aux.loss_seg": 0.15992, "aux.acc_seg": 68.28286, "loss": 0.47674, "time": 0.51392} +{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.31137, "decode.acc_seg": 70.55668, "aux.loss_seg": 0.15556, "aux.acc_seg": 68.84267, "loss": 0.46694, "time": 0.54451} +{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.32504, "decode.acc_seg": 70.72102, "aux.loss_seg": 0.16318, "aux.acc_seg": 68.79313, "loss": 0.48822, "time": 0.52247} +{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.32278, "decode.acc_seg": 69.29986, "aux.loss_seg": 0.16062, "aux.acc_seg": 67.55928, "loss": 0.4834, "time": 0.50838} +{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.32284, "decode.acc_seg": 71.58408, "aux.loss_seg": 0.16186, "aux.acc_seg": 69.62391, "loss": 0.4847, "time": 0.52496} +{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.31843, "decode.acc_seg": 69.09189, "aux.loss_seg": 0.15803, "aux.acc_seg": 67.28206, "loss": 0.47646, "time": 0.52384} +{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.34286, "decode.acc_seg": 68.76798, "aux.loss_seg": 0.17047, "aux.acc_seg": 66.83468, "loss": 0.51333, "time": 0.53335} +{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.32426, "decode.acc_seg": 70.33721, "aux.loss_seg": 0.15876, "aux.acc_seg": 68.6814, "loss": 0.48301, "time": 0.51954} +{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.31421, "decode.acc_seg": 70.03032, "aux.loss_seg": 0.15569, "aux.acc_seg": 68.09741, "loss": 0.46989, "time": 0.51323} +{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 22404, "data_time": 0.24249, "decode.loss_seg": 0.33188, "decode.acc_seg": 68.96477, "aux.loss_seg": 0.1673, "aux.acc_seg": 67.07413, "loss": 0.49919, "time": 0.75133} +{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.30837, "decode.acc_seg": 70.914, "aux.loss_seg": 0.1569, "aux.acc_seg": 68.72936, "loss": 0.46527, "time": 0.52574} +{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.30792, "decode.acc_seg": 71.76579, "aux.loss_seg": 0.15691, "aux.acc_seg": 69.68641, "loss": 0.46484, "time": 0.52219} +{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.33575, "decode.acc_seg": 71.42325, "aux.loss_seg": 0.16941, "aux.acc_seg": 69.24529, "loss": 0.50516, "time": 0.51424} +{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 22404, "data_time": 0.00839, "decode.loss_seg": 0.3241, "decode.acc_seg": 71.72632, "aux.loss_seg": 0.16523, "aux.acc_seg": 69.58353, "loss": 0.48933, "time": 0.52821} +{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.29403, "decode.acc_seg": 71.31966, "aux.loss_seg": 0.14992, "aux.acc_seg": 69.16011, "loss": 0.44395, "time": 0.51855} +{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 22404, "data_time": 0.00821, "decode.loss_seg": 0.3128, "decode.acc_seg": 69.24564, "aux.loss_seg": 0.15743, "aux.acc_seg": 67.28131, "loss": 0.47023, "time": 0.54018} +{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 22404, "data_time": 0.00867, "decode.loss_seg": 0.31102, "decode.acc_seg": 70.12794, "aux.loss_seg": 0.15762, "aux.acc_seg": 68.07698, "loss": 0.46865, "time": 0.51368} +{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.32858, "decode.acc_seg": 69.99592, "aux.loss_seg": 0.16439, "aux.acc_seg": 68.12358, "loss": 0.49297, "time": 0.52285} +{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 22404, "data_time": 0.00838, "decode.loss_seg": 0.33513, "decode.acc_seg": 69.79478, "aux.loss_seg": 0.16498, "aux.acc_seg": 68.06676, "loss": 0.50011, "time": 0.52357} +{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 22404, "data_time": 0.00936, "decode.loss_seg": 0.30841, "decode.acc_seg": 71.04471, "aux.loss_seg": 0.15798, "aux.acc_seg": 69.04249, "loss": 0.46639, "time": 0.53505} +{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.32896, "decode.acc_seg": 68.95226, "aux.loss_seg": 0.16161, "aux.acc_seg": 67.29507, "loss": 0.49056, "time": 0.51203} +{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 22404, "data_time": 0.0088, "decode.loss_seg": 0.32643, "decode.acc_seg": 70.31838, "aux.loss_seg": 0.16709, "aux.acc_seg": 68.206, "loss": 0.49352, "time": 0.50977} +{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.30117, "decode.acc_seg": 71.0486, "aux.loss_seg": 0.1517, "aux.acc_seg": 69.10833, "loss": 0.45287, "time": 0.52203} +{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.32549, "decode.acc_seg": 70.65277, "aux.loss_seg": 0.16163, "aux.acc_seg": 68.87261, "loss": 0.48712, "time": 0.50916} +{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 22404, "data_time": 0.00832, "decode.loss_seg": 0.3369, "decode.acc_seg": 70.08595, "aux.loss_seg": 0.16903, "aux.acc_seg": 67.96321, "loss": 0.50593, "time": 0.51261} +{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 22404, "data_time": 0.00845, "decode.loss_seg": 0.3031, "decode.acc_seg": 70.79411, "aux.loss_seg": 0.15454, "aux.acc_seg": 68.72532, "loss": 0.45764, "time": 0.52977} +{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 22404, "data_time": 0.00817, "decode.loss_seg": 0.32314, "decode.acc_seg": 70.12997, "aux.loss_seg": 0.15974, "aux.acc_seg": 68.49583, "loss": 0.48287, "time": 0.54029} +{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 22404, "data_time": 0.00861, "decode.loss_seg": 0.30992, "decode.acc_seg": 70.98333, "aux.loss_seg": 0.15748, "aux.acc_seg": 68.7855, "loss": 0.4674, "time": 0.52525} +{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.32425, "decode.acc_seg": 71.40395, "aux.loss_seg": 0.16397, "aux.acc_seg": 69.34443, "loss": 0.48822, "time": 0.54064} +{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 22404, "data_time": 0.00861, "decode.loss_seg": 0.31968, "decode.acc_seg": 70.76386, "aux.loss_seg": 0.16046, "aux.acc_seg": 68.78606, "loss": 0.48014, "time": 0.54424} +{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.32077, "decode.acc_seg": 69.64936, "aux.loss_seg": 0.16119, "aux.acc_seg": 67.61511, "loss": 0.48196, "time": 0.51499} +{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.31069, "decode.acc_seg": 70.25755, "aux.loss_seg": 0.15547, "aux.acc_seg": 68.44201, "loss": 0.46616, "time": 0.51522} +{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.34862, "decode.acc_seg": 70.73675, "aux.loss_seg": 0.17402, "aux.acc_seg": 68.6172, "loss": 0.52263, "time": 0.51821} +{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.32035, "decode.acc_seg": 70.54915, "aux.loss_seg": 0.1608, "aux.acc_seg": 68.56607, "loss": 0.48114, "time": 0.52216} +{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.32204, "decode.acc_seg": 70.79169, "aux.loss_seg": 0.16199, "aux.acc_seg": 68.68221, "loss": 0.48403, "time": 0.50956} +{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 22404, "data_time": 0.24579, "decode.loss_seg": 0.30916, "decode.acc_seg": 70.40168, "aux.loss_seg": 0.15589, "aux.acc_seg": 68.51413, "loss": 0.46504, "time": 0.77367} +{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.31044, "decode.acc_seg": 70.72096, "aux.loss_seg": 0.16107, "aux.acc_seg": 68.28861, "loss": 0.47151, "time": 0.5128} +{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.31616, "decode.acc_seg": 70.13054, "aux.loss_seg": 0.15932, "aux.acc_seg": 68.12502, "loss": 0.47548, "time": 0.52212} +{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.31678, "decode.acc_seg": 70.99984, "aux.loss_seg": 0.15986, "aux.acc_seg": 69.11287, "loss": 0.47664, "time": 0.5454} +{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.32473, "decode.acc_seg": 71.2307, "aux.loss_seg": 0.16351, "aux.acc_seg": 69.17894, "loss": 0.48824, "time": 0.54595} +{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.31783, "decode.acc_seg": 70.26128, "aux.loss_seg": 0.16269, "aux.acc_seg": 68.09576, "loss": 0.48052, "time": 0.53756} +{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.32096, "decode.acc_seg": 71.28695, "aux.loss_seg": 0.15943, "aux.acc_seg": 69.43031, "loss": 0.4804, "time": 0.54579} +{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.31775, "decode.acc_seg": 71.48481, "aux.loss_seg": 0.16126, "aux.acc_seg": 69.54905, "loss": 0.47901, "time": 0.5192} +{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.32484, "decode.acc_seg": 70.73514, "aux.loss_seg": 0.16395, "aux.acc_seg": 68.76133, "loss": 0.48879, "time": 0.52693} +{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.31251, "decode.acc_seg": 70.51048, "aux.loss_seg": 0.15826, "aux.acc_seg": 68.37994, "loss": 0.47077, "time": 0.52522} +{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.30029, "decode.acc_seg": 71.96964, "aux.loss_seg": 0.15389, "aux.acc_seg": 69.97284, "loss": 0.45419, "time": 0.54531} +{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.32843, "decode.acc_seg": 71.75359, "aux.loss_seg": 0.16606, "aux.acc_seg": 69.53284, "loss": 0.49448, "time": 0.5444} +{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.32247, "decode.acc_seg": 70.75028, "aux.loss_seg": 0.16383, "aux.acc_seg": 68.65317, "loss": 0.4863, "time": 0.51576} +{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.32059, "decode.acc_seg": 70.78505, "aux.loss_seg": 0.16278, "aux.acc_seg": 68.66488, "loss": 0.48337, "time": 0.53108} +{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.30706, "decode.acc_seg": 71.70604, "aux.loss_seg": 0.15975, "aux.acc_seg": 69.48932, "loss": 0.46681, "time": 0.52297} +{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.32588, "decode.acc_seg": 70.01545, "aux.loss_seg": 0.16199, "aux.acc_seg": 67.97018, "loss": 0.48786, "time": 0.53877} +{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.29573, "decode.acc_seg": 71.64638, "aux.loss_seg": 0.14788, "aux.acc_seg": 69.74193, "loss": 0.44361, "time": 0.53805} +{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 22404, "data_time": 0.00814, "decode.loss_seg": 0.30869, "decode.acc_seg": 71.15223, "aux.loss_seg": 0.15489, "aux.acc_seg": 69.28308, "loss": 0.46357, "time": 0.54769} +{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.30778, "decode.acc_seg": 70.42925, "aux.loss_seg": 0.15421, "aux.acc_seg": 68.64838, "loss": 0.46198, "time": 0.51232} +{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.32064, "decode.acc_seg": 70.09454, "aux.loss_seg": 0.1626, "aux.acc_seg": 68.02878, "loss": 0.48324, "time": 0.54149} +{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.32126, "decode.acc_seg": 70.54713, "aux.loss_seg": 0.16292, "aux.acc_seg": 68.48624, "loss": 0.48418, "time": 0.53453} +{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.32499, "decode.acc_seg": 71.44431, "aux.loss_seg": 0.16184, "aux.acc_seg": 69.43315, "loss": 0.48683, "time": 0.52468} +{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.31846, "decode.acc_seg": 70.97392, "aux.loss_seg": 0.15834, "aux.acc_seg": 69.15167, "loss": 0.47681, "time": 0.53309} +{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.30046, "decode.acc_seg": 69.83191, "aux.loss_seg": 0.15179, "aux.acc_seg": 67.9813, "loss": 0.45225, "time": 0.51307} +{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.32576, "decode.acc_seg": 70.76931, "aux.loss_seg": 0.1604, "aux.acc_seg": 69.09211, "loss": 0.48616, "time": 0.51292} +{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 22404, "data_time": 0.24653, "decode.loss_seg": 0.30585, "decode.acc_seg": 70.87201, "aux.loss_seg": 0.15491, "aux.acc_seg": 68.95339, "loss": 0.46076, "time": 0.76054} +{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.28776, "decode.acc_seg": 70.78203, "aux.loss_seg": 0.14583, "aux.acc_seg": 69.07928, "loss": 0.4336, "time": 0.50572} +{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.33537, "decode.acc_seg": 71.07527, "aux.loss_seg": 0.16786, "aux.acc_seg": 69.23958, "loss": 0.50322, "time": 0.52109} +{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.30758, "decode.acc_seg": 71.50814, "aux.loss_seg": 0.16046, "aux.acc_seg": 69.23346, "loss": 0.46804, "time": 0.51589} +{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.31271, "decode.acc_seg": 69.96991, "aux.loss_seg": 0.16022, "aux.acc_seg": 67.93975, "loss": 0.47293, "time": 0.5131} +{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.30039, "decode.acc_seg": 70.49432, "aux.loss_seg": 0.15191, "aux.acc_seg": 68.64709, "loss": 0.4523, "time": 0.51282} +{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.30042, "decode.acc_seg": 70.68002, "aux.loss_seg": 0.15125, "aux.acc_seg": 68.90659, "loss": 0.45167, "time": 0.54722} +{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.3094, "decode.acc_seg": 70.36973, "aux.loss_seg": 0.15878, "aux.acc_seg": 68.27067, "loss": 0.46818, "time": 0.54201} +{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.31844, "decode.acc_seg": 72.54951, "aux.loss_seg": 0.16322, "aux.acc_seg": 70.56378, "loss": 0.48165, "time": 0.53024} +{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.31869, "decode.acc_seg": 70.71568, "aux.loss_seg": 0.1626, "aux.acc_seg": 68.63572, "loss": 0.48129, "time": 0.52768} +{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.30077, "decode.acc_seg": 71.03588, "aux.loss_seg": 0.15229, "aux.acc_seg": 69.13013, "loss": 0.45306, "time": 0.52625} +{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.30252, "decode.acc_seg": 70.83072, "aux.loss_seg": 0.15668, "aux.acc_seg": 68.66084, "loss": 0.4592, "time": 0.51307} +{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.31874, "decode.acc_seg": 71.31976, "aux.loss_seg": 0.16086, "aux.acc_seg": 69.28739, "loss": 0.4796, "time": 0.54275} +{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.31919, "decode.acc_seg": 70.6308, "aux.loss_seg": 0.16087, "aux.acc_seg": 68.79072, "loss": 0.48007, "time": 0.52847} +{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.3366, "decode.acc_seg": 69.93928, "aux.loss_seg": 0.16688, "aux.acc_seg": 67.82553, "loss": 0.50348, "time": 0.54458} +{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.3128, "decode.acc_seg": 71.05168, "aux.loss_seg": 0.15704, "aux.acc_seg": 69.31277, "loss": 0.46984, "time": 0.53614} +{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.31337, "decode.acc_seg": 71.48141, "aux.loss_seg": 0.15831, "aux.acc_seg": 69.19808, "loss": 0.47168, "time": 0.51924} +{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.32114, "decode.acc_seg": 71.34576, "aux.loss_seg": 0.15936, "aux.acc_seg": 69.47853, "loss": 0.48051, "time": 0.51138} +{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.30763, "decode.acc_seg": 71.56925, "aux.loss_seg": 0.15492, "aux.acc_seg": 69.741, "loss": 0.46255, "time": 0.53081} +{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.3048, "decode.acc_seg": 70.02104, "aux.loss_seg": 0.15586, "aux.acc_seg": 67.97132, "loss": 0.46065, "time": 0.52534} +{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.30792, "decode.acc_seg": 71.54246, "aux.loss_seg": 0.15664, "aux.acc_seg": 69.29771, "loss": 0.46456, "time": 0.51888} +{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.31186, "decode.acc_seg": 72.60289, "aux.loss_seg": 0.15491, "aux.acc_seg": 70.6289, "loss": 0.46677, "time": 0.53583} +{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.31177, "decode.acc_seg": 71.42679, "aux.loss_seg": 0.15474, "aux.acc_seg": 69.69227, "loss": 0.46651, "time": 0.54561} +{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.29837, "decode.acc_seg": 71.13642, "aux.loss_seg": 0.15441, "aux.acc_seg": 68.93963, "loss": 0.45278, "time": 0.54912} +{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.29662, "decode.acc_seg": 70.65014, "aux.loss_seg": 0.15224, "aux.acc_seg": 68.77263, "loss": 0.44886, "time": 0.54621} +{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 22404, "data_time": 0.25694, "decode.loss_seg": 0.31473, "decode.acc_seg": 70.6838, "aux.loss_seg": 0.16083, "aux.acc_seg": 68.50599, "loss": 0.47556, "time": 0.77636} +{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.32268, "decode.acc_seg": 70.26311, "aux.loss_seg": 0.16275, "aux.acc_seg": 68.17307, "loss": 0.48543, "time": 0.53099} +{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.31601, "decode.acc_seg": 70.40624, "aux.loss_seg": 0.15976, "aux.acc_seg": 68.35418, "loss": 0.47577, "time": 0.54805} +{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.30715, "decode.acc_seg": 70.73258, "aux.loss_seg": 0.1558, "aux.acc_seg": 68.67125, "loss": 0.46294, "time": 0.53477} +{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.30664, "decode.acc_seg": 72.26609, "aux.loss_seg": 0.15794, "aux.acc_seg": 70.076, "loss": 0.46457, "time": 0.54301} +{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.31489, "decode.acc_seg": 71.54257, "aux.loss_seg": 0.15945, "aux.acc_seg": 69.40965, "loss": 0.47435, "time": 0.51908} +{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.34106, "decode.acc_seg": 69.9436, "aux.loss_seg": 0.16861, "aux.acc_seg": 68.0975, "loss": 0.50967, "time": 0.511} +{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.30888, "decode.acc_seg": 72.32696, "aux.loss_seg": 0.15432, "aux.acc_seg": 70.50358, "loss": 0.4632, "time": 0.51193} +{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.29308, "decode.acc_seg": 70.64953, "aux.loss_seg": 0.14799, "aux.acc_seg": 68.72404, "loss": 0.44106, "time": 0.51109} +{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.30166, "decode.acc_seg": 71.80884, "aux.loss_seg": 0.15699, "aux.acc_seg": 69.58306, "loss": 0.45865, "time": 0.53985} +{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.29273, "decode.acc_seg": 71.6513, "aux.loss_seg": 0.15067, "aux.acc_seg": 69.62899, "loss": 0.4434, "time": 0.52587} +{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.29627, "decode.acc_seg": 71.88401, "aux.loss_seg": 0.1515, "aux.acc_seg": 69.91755, "loss": 0.44777, "time": 0.51384} +{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.28754, "decode.acc_seg": 71.08253, "aux.loss_seg": 0.14697, "aux.acc_seg": 69.10562, "loss": 0.43452, "time": 0.53208} +{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.3214, "decode.acc_seg": 71.13428, "aux.loss_seg": 0.15723, "aux.acc_seg": 69.30858, "loss": 0.47863, "time": 0.52595} +{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.32298, "decode.acc_seg": 70.65294, "aux.loss_seg": 0.16513, "aux.acc_seg": 68.48253, "loss": 0.48811, "time": 0.51082} +{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.31395, "decode.acc_seg": 69.48153, "aux.loss_seg": 0.15742, "aux.acc_seg": 67.73858, "loss": 0.47137, "time": 0.51426} +{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.30968, "decode.acc_seg": 71.44163, "aux.loss_seg": 0.15839, "aux.acc_seg": 69.57361, "loss": 0.46807, "time": 0.51248} +{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.29802, "decode.acc_seg": 70.81737, "aux.loss_seg": 0.14807, "aux.acc_seg": 68.92331, "loss": 0.44608, "time": 0.53944} +{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.29675, "decode.acc_seg": 71.36687, "aux.loss_seg": 0.15101, "aux.acc_seg": 69.41067, "loss": 0.44776, "time": 0.5475} +{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.28821, "decode.acc_seg": 70.78701, "aux.loss_seg": 0.14809, "aux.acc_seg": 68.69796, "loss": 0.4363, "time": 0.54227} +{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.32299, "decode.acc_seg": 71.231, "aux.loss_seg": 0.16339, "aux.acc_seg": 69.02444, "loss": 0.48638, "time": 0.52161} +{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.30336, "decode.acc_seg": 70.19839, "aux.loss_seg": 0.15545, "aux.acc_seg": 68.13568, "loss": 0.45881, "time": 0.51062} +{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.31147, "decode.acc_seg": 70.80091, "aux.loss_seg": 0.15703, "aux.acc_seg": 69.00814, "loss": 0.46851, "time": 0.54194} +{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.29834, "decode.acc_seg": 71.19507, "aux.loss_seg": 0.15293, "aux.acc_seg": 69.14683, "loss": 0.45126, "time": 0.52474} +{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.32451, "decode.acc_seg": 70.86045, "aux.loss_seg": 0.16386, "aux.acc_seg": 68.7854, "loss": 0.48837, "time": 0.5284} +{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4471, "mAcc": 0.5691, "aAcc": 0.8116, "IoU.wall": 0.7457, "IoU.building": 0.806, "IoU.sky": 0.9369, "IoU.floor": 0.7899, "IoU.tree": 0.7285, "IoU.ceiling": 0.8264, "IoU.road": 0.8194, "IoU.bed ": 0.8622, "IoU.windowpane": 0.5785, "IoU.grass": 0.6575, "IoU.cabinet": 0.5985, "IoU.sidewalk": 0.6052, "IoU.person": 0.768, "IoU.earth": 0.375, "IoU.door": 0.4602, "IoU.table": 0.5158, "IoU.mountain": 0.5617, "IoU.plant": 0.5167, "IoU.curtain": 0.6539, "IoU.chair": 0.5193, "IoU.car": 0.8148, "IoU.water": 0.5155, "IoU.painting": 0.7009, "IoU.sofa": 0.5913, "IoU.shelf": 0.4127, "IoU.house": 0.54, "IoU.sea": 0.6149, "IoU.mirror": 0.604, "IoU.rug": 0.5809, "IoU.field": 0.3223, "IoU.armchair": 0.3318, "IoU.seat": 0.6151, "IoU.fence": 0.4465, "IoU.desk": 0.4334, "IoU.rock": 0.2915, "IoU.wardrobe": 0.5039, "IoU.lamp": 0.5563, "IoU.bathtub": 0.6315, "IoU.railing": 0.336, "IoU.cushion": 0.5057, "IoU.base": 0.2541, "IoU.box": 0.2306, "IoU.column": 0.364, "IoU.signboard": 0.3287, "IoU.chest of drawers": 0.3825, "IoU.counter": 0.2494, "IoU.sand": 0.4528, "IoU.sink": 0.6472, "IoU.skyscraper": 0.5317, "IoU.fireplace": NaN, "IoU.refrigerator": 0.639, "IoU.grandstand": 0.4256, "IoU.path": 0.2032, "IoU.stairs": 0.2714, "IoU.runway": 0.7173, "IoU.case": 0.4667, "IoU.pool table": 0.9032, "IoU.pillow": 0.4789, "IoU.screen door": 0.6496, "IoU.stairway": 0.2968, "IoU.river": 0.132, "IoU.bridge": 0.6398, "IoU.bookcase": 0.321, "IoU.blind": NaN, "IoU.coffee table": 0.4703, "IoU.toilet": 0.7797, "IoU.flower": 0.3706, "IoU.book": 0.423, "IoU.hill": 0.0806, "IoU.bench": 0.4368, "IoU.countertop": 0.5039, "IoU.stove": 0.6542, "IoU.palm": 0.4543, "IoU.kitchen island": 0.3133, "IoU.computer": 0.701, "IoU.swivel chair": 0.434, "IoU.boat": 0.4608, "IoU.bar": 0.2655, "IoU.arcade machine": 0.8197, "IoU.hovel": 0.4322, "IoU.bus": 0.8002, "IoU.towel": 0.5554, "IoU.light": 0.4447, "IoU.truck": 0.321, "IoU.tower": 0.0404, "IoU.chandelier": 0.6286, "IoU.awning": 0.2268, "IoU.streetlight": 0.1751, "IoU.booth": 0.4928, "IoU.television receiver": NaN, "IoU.airplane": 0.547, "IoU.dirt track": 0.0159, "IoU.apparel": 0.2751, "IoU.pole": 0.1411, "IoU.land": 0.0301, "IoU.bannister": 0.0526, "IoU.escalator": 0.4332, "IoU.ottoman": 0.3286, "IoU.bottle": NaN, "IoU.buffet": 0.3778, "IoU.poster": 0.2674, "IoU.stage": 0.0753, "IoU.van": 0.4056, "IoU.ship": 0.7061, "IoU.fountain": 0.3251, "IoU.conveyer belt": 0.4824, "IoU.canopy": 0.174, "IoU.washer": 0.6974, "IoU.plaything": 0.2182, "IoU.swimming pool": 0.6205, "IoU.stool": 0.3512, "IoU.barrel": 0.5446, "IoU.basket": 0.2668, "IoU.waterfall": 0.3669, "IoU.tent": 0.7754, "IoU.bag": 0.0697, "IoU.minibike": 0.6864, "IoU.cradle": NaN, "IoU.oven": 0.2873, "IoU.ball": 0.265, "IoU.food": 0.5344, "IoU.step": 0.0918, "IoU.tank": 0.4942, "IoU.trade name": 0.1686, "IoU.microwave": 0.6322, "IoU.pot": 0.5023, "IoU.animal": NaN, "IoU.bicycle": 0.5025, "IoU.lake": 0.6605, "IoU.dishwasher": 0.4054, "IoU.screen": 0.6165, "IoU.blanket": 0.0859, "IoU.sculpture": 0.29, "IoU.hood": 0.5815, "IoU.sconce": 0.3255, "IoU.vase": 0.3058, "IoU.traffic light": 0.211, "IoU.tray": 0.0186, "IoU.ashcan": 0.3259, "IoU.fan": 0.5139, "IoU.pier": 0.2589, "IoU.crt screen": 0.0596, "IoU.plate": 0.5038, "IoU.monitor": 0.2797, "IoU.bulletin board": 0.3696, "IoU.shower": 0.0006, "IoU.radiator": 0.6246, "IoU.glass": 0.0907, "IoU.clock": 0.2786, "IoU.flag": 0.3151, "Acc.wall": 0.8619, "Acc.building": 0.922, "Acc.sky": 0.9728, "Acc.floor": 0.8823, "Acc.tree": 0.8397, "Acc.ceiling": 0.93, "Acc.road": 0.8797, "Acc.bed ": 0.943, "Acc.windowpane": 0.7265, "Acc.grass": 0.7438, "Acc.cabinet": 0.7361, "Acc.sidewalk": 0.8048, "Acc.person": 0.8779, "Acc.earth": 0.5419, "Acc.door": 0.6273, "Acc.table": 0.6834, "Acc.mountain": 0.7744, "Acc.plant": 0.6613, "Acc.curtain": 0.8398, "Acc.chair": 0.6535, "Acc.car": 0.9041, "Acc.water": 0.641, "Acc.painting": 0.8406, "Acc.sofa": 0.8307, "Acc.shelf": 0.5994, "Acc.house": 0.7072, "Acc.sea": 0.8378, "Acc.mirror": 0.7206, "Acc.rug": 0.7128, "Acc.field": 0.6581, "Acc.armchair": 0.4728, "Acc.seat": 0.7889, "Acc.fence": 0.6028, "Acc.desk": 0.6632, "Acc.rock": 0.434, "Acc.wardrobe": 0.6292, "Acc.lamp": 0.6428, "Acc.bathtub": 0.8116, "Acc.railing": 0.4397, "Acc.cushion": 0.6689, "Acc.base": 0.3772, "Acc.box": 0.2991, "Acc.column": 0.5022, "Acc.signboard": 0.4135, "Acc.chest of drawers": 0.5716, "Acc.counter": 0.3121, "Acc.sand": 0.5014, "Acc.sink": 0.7142, "Acc.skyscraper": 0.6498, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8141, "Acc.grandstand": 0.668, "Acc.path": 0.2985, "Acc.stairs": 0.3292, "Acc.runway": 0.9373, "Acc.case": 0.5444, "Acc.pool table": 0.9538, "Acc.pillow": 0.5447, "Acc.screen door": 0.7607, "Acc.stairway": 0.3752, "Acc.river": 0.3168, "Acc.bridge": 0.7291, "Acc.bookcase": 0.3903, "Acc.blind": NaN, "Acc.coffee table": 0.7827, "Acc.toilet": 0.8678, "Acc.flower": 0.5877, "Acc.book": 0.5729, "Acc.hill": 0.1105, "Acc.bench": 0.579, "Acc.countertop": 0.6835, "Acc.stove": 0.7504, "Acc.palm": 0.6923, "Acc.kitchen island": 0.5504, "Acc.computer": 0.846, "Acc.swivel chair": 0.6109, "Acc.boat": 0.5701, "Acc.bar": 0.3565, "Acc.arcade machine": 0.8972, "Acc.hovel": 0.51, "Acc.bus": 0.9291, "Acc.towel": 0.6703, "Acc.light": 0.4748, "Acc.truck": 0.4967, "Acc.tower": 0.0495, "Acc.chandelier": 0.8499, "Acc.awning": 0.26, "Acc.streetlight": 0.2155, "Acc.booth": 0.58, "Acc.television receiver": NaN, "Acc.airplane": 0.6018, "Acc.dirt track": 0.0179, "Acc.apparel": 0.4187, "Acc.pole": 0.1804, "Acc.land": 0.0677, "Acc.bannister": 0.0716, "Acc.escalator": 0.5595, "Acc.ottoman": 0.4976, "Acc.bottle": NaN, "Acc.buffet": 0.4618, "Acc.poster": 0.3791, "Acc.stage": 0.3229, "Acc.van": 0.5105, "Acc.ship": 0.9556, "Acc.fountain": 0.3292, "Acc.conveyer belt": 0.6634, "Acc.canopy": 0.2771, "Acc.washer": 0.7878, "Acc.plaything": 0.4033, "Acc.swimming pool": 0.8534, "Acc.stool": 0.396, "Acc.barrel": 0.63, "Acc.basket": 0.3638, "Acc.waterfall": 0.4274, "Acc.tent": 0.9878, "Acc.bag": 0.0825, "Acc.minibike": 0.8664, "Acc.cradle": NaN, "Acc.oven": 0.3639, "Acc.ball": 0.4839, "Acc.food": 0.6642, "Acc.step": 0.1049, "Acc.tank": 0.5802, "Acc.trade name": 0.1853, "Acc.microwave": 0.7365, "Acc.pot": 0.5497, "Acc.animal": NaN, "Acc.bicycle": 0.7442, "Acc.lake": 0.6687, "Acc.dishwasher": 0.6447, "Acc.screen": 0.8593, "Acc.blanket": 0.0971, "Acc.sculpture": 0.5791, "Acc.hood": 0.6309, "Acc.sconce": 0.3978, "Acc.vase": 0.4251, "Acc.traffic light": 0.3218, "Acc.tray": 0.0254, "Acc.ashcan": 0.4443, "Acc.fan": 0.6484, "Acc.pier": 0.4811, "Acc.crt screen": 0.1125, "Acc.plate": 0.7017, "Acc.monitor": 0.343, "Acc.bulletin board": 0.5855, "Acc.shower": 0.0006, "Acc.radiator": 0.7159, "Acc.glass": 0.0966, "Acc.clock": 0.3094, "Acc.flag": 0.3373} +{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 22404, "data_time": 1.55484, "decode.loss_seg": 0.30347, "decode.acc_seg": 72.42462, "aux.loss_seg": 0.15629, "aux.acc_seg": 70.21985, "loss": 0.45976, "time": 2.05822} +{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.29979, "decode.acc_seg": 70.75426, "aux.loss_seg": 0.15426, "aux.acc_seg": 68.65037, "loss": 0.45406, "time": 0.52814} +{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.29696, "decode.acc_seg": 71.32055, "aux.loss_seg": 0.15309, "aux.acc_seg": 69.18898, "loss": 0.45005, "time": 0.529} +{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.32115, "decode.acc_seg": 70.09274, "aux.loss_seg": 0.16239, "aux.acc_seg": 67.95811, "loss": 0.48353, "time": 0.52194} +{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.31438, "decode.acc_seg": 71.31014, "aux.loss_seg": 0.15935, "aux.acc_seg": 69.42461, "loss": 0.47373, "time": 0.51067} +{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.31594, "decode.acc_seg": 72.71863, "aux.loss_seg": 0.15944, "aux.acc_seg": 70.60794, "loss": 0.47538, "time": 0.52691} +{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.29038, "decode.acc_seg": 70.07685, "aux.loss_seg": 0.14662, "aux.acc_seg": 68.21303, "loss": 0.43701, "time": 0.54345} +{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.29977, "decode.acc_seg": 70.79461, "aux.loss_seg": 0.15436, "aux.acc_seg": 68.86025, "loss": 0.45413, "time": 0.51862} +{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 22404, "data_time": 0.00618, "decode.loss_seg": 0.3021, "decode.acc_seg": 71.82941, "aux.loss_seg": 0.15221, "aux.acc_seg": 70.07312, "loss": 0.45431, "time": 0.53508} +{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.30133, "decode.acc_seg": 70.41992, "aux.loss_seg": 0.15243, "aux.acc_seg": 68.16953, "loss": 0.45376, "time": 0.54385} +{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.2969, "decode.acc_seg": 70.75105, "aux.loss_seg": 0.15153, "aux.acc_seg": 68.85127, "loss": 0.44843, "time": 0.53572} +{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.2942, "decode.acc_seg": 70.53444, "aux.loss_seg": 0.14986, "aux.acc_seg": 68.48406, "loss": 0.44406, "time": 0.51615} +{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.29114, "decode.acc_seg": 71.16872, "aux.loss_seg": 0.1487, "aux.acc_seg": 69.11546, "loss": 0.43984, "time": 0.54648} +{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.30806, "decode.acc_seg": 71.83058, "aux.loss_seg": 0.15599, "aux.acc_seg": 69.71958, "loss": 0.46405, "time": 0.52278} +{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.31301, "decode.acc_seg": 71.90892, "aux.loss_seg": 0.16083, "aux.acc_seg": 69.765, "loss": 0.47384, "time": 0.51168} +{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 22404, "data_time": 0.00629, "decode.loss_seg": 0.32343, "decode.acc_seg": 70.38756, "aux.loss_seg": 0.16368, "aux.acc_seg": 68.43655, "loss": 0.48711, "time": 0.50775} +{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.30789, "decode.acc_seg": 70.96774, "aux.loss_seg": 0.15505, "aux.acc_seg": 68.86528, "loss": 0.46294, "time": 0.51608} +{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.29418, "decode.acc_seg": 71.48326, "aux.loss_seg": 0.15137, "aux.acc_seg": 69.51285, "loss": 0.44556, "time": 0.51204} +{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.27891, "decode.acc_seg": 72.47646, "aux.loss_seg": 0.14424, "aux.acc_seg": 70.48811, "loss": 0.42315, "time": 0.53792} +{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.3008, "decode.acc_seg": 71.29816, "aux.loss_seg": 0.14929, "aux.acc_seg": 69.57839, "loss": 0.45009, "time": 0.52084} +{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.29969, "decode.acc_seg": 71.49428, "aux.loss_seg": 0.14821, "aux.acc_seg": 69.99416, "loss": 0.4479, "time": 0.50901} +{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.31063, "decode.acc_seg": 70.84055, "aux.loss_seg": 0.15748, "aux.acc_seg": 68.92937, "loss": 0.46811, "time": 0.53827} +{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.31176, "decode.acc_seg": 71.99871, "aux.loss_seg": 0.16191, "aux.acc_seg": 69.82265, "loss": 0.47367, "time": 0.54542} +{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.31986, "decode.acc_seg": 71.65388, "aux.loss_seg": 0.15982, "aux.acc_seg": 69.65362, "loss": 0.47968, "time": 0.5265} +{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.29897, "decode.acc_seg": 71.87483, "aux.loss_seg": 0.15254, "aux.acc_seg": 69.87157, "loss": 0.45152, "time": 0.51144} +{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 22404, "data_time": 0.24772, "decode.loss_seg": 0.30946, "decode.acc_seg": 69.827, "aux.loss_seg": 0.15697, "aux.acc_seg": 67.79391, "loss": 0.46644, "time": 0.74824} +{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.28661, "decode.acc_seg": 70.15322, "aux.loss_seg": 0.14731, "aux.acc_seg": 67.97785, "loss": 0.43392, "time": 0.50646} +{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.28827, "decode.acc_seg": 69.97924, "aux.loss_seg": 0.14899, "aux.acc_seg": 67.96282, "loss": 0.43726, "time": 0.5135} +{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.31441, "decode.acc_seg": 73.0107, "aux.loss_seg": 0.16532, "aux.acc_seg": 70.74074, "loss": 0.47973, "time": 0.51522} +{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.29649, "decode.acc_seg": 69.2609, "aux.loss_seg": 0.15326, "aux.acc_seg": 67.18645, "loss": 0.44975, "time": 0.50644} +{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.28202, "decode.acc_seg": 70.98178, "aux.loss_seg": 0.14785, "aux.acc_seg": 68.88552, "loss": 0.42987, "time": 0.50844} +{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.28074, "decode.acc_seg": 73.07295, "aux.loss_seg": 0.1461, "aux.acc_seg": 70.99987, "loss": 0.42685, "time": 0.51623} +{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.29817, "decode.acc_seg": 71.10905, "aux.loss_seg": 0.15334, "aux.acc_seg": 68.99735, "loss": 0.45151, "time": 0.5179} +{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.30656, "decode.acc_seg": 72.00191, "aux.loss_seg": 0.15307, "aux.acc_seg": 70.02374, "loss": 0.45963, "time": 0.5259} +{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.32317, "decode.acc_seg": 71.81499, "aux.loss_seg": 0.16417, "aux.acc_seg": 69.76326, "loss": 0.48735, "time": 0.52162} +{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.30039, "decode.acc_seg": 72.39975, "aux.loss_seg": 0.15223, "aux.acc_seg": 70.53093, "loss": 0.45262, "time": 0.51107} +{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.29678, "decode.acc_seg": 72.24959, "aux.loss_seg": 0.15323, "aux.acc_seg": 70.14445, "loss": 0.45002, "time": 0.53047} +{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.29, "decode.acc_seg": 72.79923, "aux.loss_seg": 0.15008, "aux.acc_seg": 70.61783, "loss": 0.44008, "time": 0.52064} +{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.28588, "decode.acc_seg": 70.21759, "aux.loss_seg": 0.14847, "aux.acc_seg": 68.2312, "loss": 0.43434, "time": 0.52366} +{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.28468, "decode.acc_seg": 69.24356, "aux.loss_seg": 0.14618, "aux.acc_seg": 67.31946, "loss": 0.43085, "time": 0.54347} +{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.29423, "decode.acc_seg": 72.32661, "aux.loss_seg": 0.15131, "aux.acc_seg": 70.35311, "loss": 0.44553, "time": 0.52355} +{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.28554, "decode.acc_seg": 70.67657, "aux.loss_seg": 0.14622, "aux.acc_seg": 68.81764, "loss": 0.43176, "time": 0.50658} +{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.30277, "decode.acc_seg": 70.4462, "aux.loss_seg": 0.15406, "aux.acc_seg": 68.58621, "loss": 0.45683, "time": 0.50922} +{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.28649, "decode.acc_seg": 71.32457, "aux.loss_seg": 0.14657, "aux.acc_seg": 69.4573, "loss": 0.43306, "time": 0.52159} +{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.27258, "decode.acc_seg": 71.68687, "aux.loss_seg": 0.13956, "aux.acc_seg": 69.85997, "loss": 0.41214, "time": 0.51308} +{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.30979, "decode.acc_seg": 71.93115, "aux.loss_seg": 0.15567, "aux.acc_seg": 69.87205, "loss": 0.46546, "time": 0.52727} +{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.31007, "decode.acc_seg": 70.87002, "aux.loss_seg": 0.15561, "aux.acc_seg": 68.9053, "loss": 0.46568, "time": 0.54023} +{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.29263, "decode.acc_seg": 69.49292, "aux.loss_seg": 0.14686, "aux.acc_seg": 67.65111, "loss": 0.43949, "time": 0.52161} +{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.2916, "decode.acc_seg": 70.51605, "aux.loss_seg": 0.14897, "aux.acc_seg": 68.49271, "loss": 0.44057, "time": 0.53409} +{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.31256, "decode.acc_seg": 72.38216, "aux.loss_seg": 0.15735, "aux.acc_seg": 70.30797, "loss": 0.46991, "time": 0.52719} +{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 22404, "data_time": 0.25918, "decode.loss_seg": 0.28808, "decode.acc_seg": 72.81291, "aux.loss_seg": 0.14698, "aux.acc_seg": 70.88781, "loss": 0.43505, "time": 0.76941} +{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.27802, "decode.acc_seg": 71.2604, "aux.loss_seg": 0.14055, "aux.acc_seg": 69.41516, "loss": 0.41857, "time": 0.52332} +{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.27595, "decode.acc_seg": 71.38863, "aux.loss_seg": 0.14294, "aux.acc_seg": 69.35736, "loss": 0.41889, "time": 0.51101} +{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.29493, "decode.acc_seg": 71.8474, "aux.loss_seg": 0.14807, "aux.acc_seg": 70.13257, "loss": 0.443, "time": 0.50731} +{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 22404, "data_time": 0.00621, "decode.loss_seg": 0.29678, "decode.acc_seg": 71.09388, "aux.loss_seg": 0.15552, "aux.acc_seg": 68.92193, "loss": 0.45229, "time": 0.52586} +{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.30007, "decode.acc_seg": 72.23978, "aux.loss_seg": 0.15371, "aux.acc_seg": 70.17903, "loss": 0.45378, "time": 0.51143} +{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.3013, "decode.acc_seg": 71.78298, "aux.loss_seg": 0.15269, "aux.acc_seg": 69.86757, "loss": 0.45399, "time": 0.50679} +{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 22404, "data_time": 0.00617, "decode.loss_seg": 0.2956, "decode.acc_seg": 71.86148, "aux.loss_seg": 0.15103, "aux.acc_seg": 70.02165, "loss": 0.44663, "time": 0.52658} +{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 22404, "data_time": 0.00617, "decode.loss_seg": 0.2975, "decode.acc_seg": 72.45912, "aux.loss_seg": 0.15433, "aux.acc_seg": 70.27445, "loss": 0.45182, "time": 0.50956} +{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.31106, "decode.acc_seg": 70.94544, "aux.loss_seg": 0.15735, "aux.acc_seg": 68.83046, "loss": 0.46841, "time": 0.52295} +{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.29775, "decode.acc_seg": 72.32052, "aux.loss_seg": 0.15038, "aux.acc_seg": 70.58085, "loss": 0.44812, "time": 0.53877} +{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.28506, "decode.acc_seg": 70.49694, "aux.loss_seg": 0.14988, "aux.acc_seg": 68.25267, "loss": 0.43494, "time": 0.52047} +{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.29325, "decode.acc_seg": 70.91063, "aux.loss_seg": 0.15028, "aux.acc_seg": 68.81163, "loss": 0.44353, "time": 0.52997} +{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.29215, "decode.acc_seg": 71.25607, "aux.loss_seg": 0.14815, "aux.acc_seg": 69.43049, "loss": 0.4403, "time": 0.50901} +{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.28572, "decode.acc_seg": 72.01619, "aux.loss_seg": 0.14837, "aux.acc_seg": 69.8546, "loss": 0.43409, "time": 0.50559} +{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.28387, "decode.acc_seg": 71.45231, "aux.loss_seg": 0.14592, "aux.acc_seg": 69.45249, "loss": 0.42979, "time": 0.50821} +{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.30456, "decode.acc_seg": 72.90734, "aux.loss_seg": 0.1563, "aux.acc_seg": 70.80689, "loss": 0.46085, "time": 0.50964} +{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.29809, "decode.acc_seg": 68.85537, "aux.loss_seg": 0.1522, "aux.acc_seg": 66.71283, "loss": 0.4503, "time": 0.51235} +{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.29386, "decode.acc_seg": 72.18719, "aux.loss_seg": 0.14914, "aux.acc_seg": 70.39265, "loss": 0.44301, "time": 0.51178} +{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.31658, "decode.acc_seg": 69.85312, "aux.loss_seg": 0.15866, "aux.acc_seg": 68.11881, "loss": 0.47524, "time": 0.51846} +{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.30262, "decode.acc_seg": 72.15099, "aux.loss_seg": 0.1556, "aux.acc_seg": 69.98447, "loss": 0.45822, "time": 0.51878} +{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.29662, "decode.acc_seg": 71.40865, "aux.loss_seg": 0.14901, "aux.acc_seg": 69.48552, "loss": 0.44563, "time": 0.53049} +{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.30875, "decode.acc_seg": 71.08493, "aux.loss_seg": 0.15669, "aux.acc_seg": 69.28221, "loss": 0.46544, "time": 0.52733} +{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.29824, "decode.acc_seg": 70.35138, "aux.loss_seg": 0.15397, "aux.acc_seg": 68.0808, "loss": 0.45221, "time": 0.51748} +{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.30253, "decode.acc_seg": 70.97667, "aux.loss_seg": 0.15281, "aux.acc_seg": 69.011, "loss": 0.45534, "time": 0.52839} +{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 22404, "data_time": 0.24589, "decode.loss_seg": 0.3036, "decode.acc_seg": 70.88784, "aux.loss_seg": 0.15658, "aux.acc_seg": 68.64916, "loss": 0.46018, "time": 0.77201} +{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.27564, "decode.acc_seg": 73.1165, "aux.loss_seg": 0.14012, "aux.acc_seg": 71.22828, "loss": 0.41576, "time": 0.5135} +{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.28912, "decode.acc_seg": 71.2135, "aux.loss_seg": 0.14965, "aux.acc_seg": 69.16214, "loss": 0.43877, "time": 0.53538} +{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.27658, "decode.acc_seg": 70.96454, "aux.loss_seg": 0.1428, "aux.acc_seg": 69.016, "loss": 0.41937, "time": 0.51092} +{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.28522, "decode.acc_seg": 72.27064, "aux.loss_seg": 0.14709, "aux.acc_seg": 70.37643, "loss": 0.43231, "time": 0.51122} +{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.29569, "decode.acc_seg": 72.23552, "aux.loss_seg": 0.14681, "aux.acc_seg": 70.50639, "loss": 0.4425, "time": 0.50832} +{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.28994, "decode.acc_seg": 70.55171, "aux.loss_seg": 0.14768, "aux.acc_seg": 68.7774, "loss": 0.43762, "time": 0.51832} +{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.28587, "decode.acc_seg": 72.13008, "aux.loss_seg": 0.14737, "aux.acc_seg": 70.15003, "loss": 0.43324, "time": 0.52212} +{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.2981, "decode.acc_seg": 70.6601, "aux.loss_seg": 0.15351, "aux.acc_seg": 68.58527, "loss": 0.45161, "time": 0.50866} +{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.29931, "decode.acc_seg": 71.38758, "aux.loss_seg": 0.14952, "aux.acc_seg": 69.7724, "loss": 0.44883, "time": 0.51735} +{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.27605, "decode.acc_seg": 71.79897, "aux.loss_seg": 0.14541, "aux.acc_seg": 69.6273, "loss": 0.42146, "time": 0.51511} +{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.30715, "decode.acc_seg": 71.29594, "aux.loss_seg": 0.15583, "aux.acc_seg": 69.27598, "loss": 0.46298, "time": 0.5211} +{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.2902, "decode.acc_seg": 72.48803, "aux.loss_seg": 0.14483, "aux.acc_seg": 70.61595, "loss": 0.43503, "time": 0.52521} +{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.29357, "decode.acc_seg": 71.69836, "aux.loss_seg": 0.15083, "aux.acc_seg": 69.73723, "loss": 0.4444, "time": 0.53534} +{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.29979, "decode.acc_seg": 69.92555, "aux.loss_seg": 0.153, "aux.acc_seg": 67.93282, "loss": 0.45279, "time": 0.50641} +{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.29488, "decode.acc_seg": 71.01043, "aux.loss_seg": 0.15162, "aux.acc_seg": 68.89415, "loss": 0.44651, "time": 0.51537} +{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.29106, "decode.acc_seg": 72.29204, "aux.loss_seg": 0.14744, "aux.acc_seg": 70.41882, "loss": 0.4385, "time": 0.50897} +{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.30537, "decode.acc_seg": 70.04467, "aux.loss_seg": 0.15581, "aux.acc_seg": 67.93163, "loss": 0.46118, "time": 0.53855} +{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.31622, "decode.acc_seg": 71.52576, "aux.loss_seg": 0.16104, "aux.acc_seg": 69.57075, "loss": 0.47726, "time": 0.51884} +{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.28933, "decode.acc_seg": 72.2571, "aux.loss_seg": 0.14702, "aux.acc_seg": 70.23056, "loss": 0.43635, "time": 0.53098} +{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.301, "decode.acc_seg": 71.56152, "aux.loss_seg": 0.15239, "aux.acc_seg": 69.56671, "loss": 0.45339, "time": 0.51775} +{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.29322, "decode.acc_seg": 70.68754, "aux.loss_seg": 0.14962, "aux.acc_seg": 68.77593, "loss": 0.44285, "time": 0.51725} +{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.30966, "decode.acc_seg": 71.49172, "aux.loss_seg": 0.15598, "aux.acc_seg": 69.76715, "loss": 0.46565, "time": 0.51242} +{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.30598, "decode.acc_seg": 69.53855, "aux.loss_seg": 0.15406, "aux.acc_seg": 67.55073, "loss": 0.46003, "time": 0.51527} +{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.30628, "decode.acc_seg": 71.19769, "aux.loss_seg": 0.15332, "aux.acc_seg": 69.31756, "loss": 0.4596, "time": 0.53078} +{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 22404, "data_time": 0.25143, "decode.loss_seg": 0.29584, "decode.acc_seg": 71.91373, "aux.loss_seg": 0.15226, "aux.acc_seg": 69.97048, "loss": 0.4481, "time": 0.76188} +{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.28281, "decode.acc_seg": 71.80269, "aux.loss_seg": 0.14805, "aux.acc_seg": 69.73612, "loss": 0.43086, "time": 0.51622} +{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.27572, "decode.acc_seg": 71.85683, "aux.loss_seg": 0.14119, "aux.acc_seg": 70.18705, "loss": 0.41692, "time": 0.51626} +{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.26546, "decode.acc_seg": 73.31568, "aux.loss_seg": 0.13598, "aux.acc_seg": 71.27401, "loss": 0.40144, "time": 0.51107} +{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.28088, "decode.acc_seg": 71.58561, "aux.loss_seg": 0.14563, "aux.acc_seg": 69.4433, "loss": 0.42651, "time": 0.51651} +{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.27104, "decode.acc_seg": 70.96639, "aux.loss_seg": 0.14082, "aux.acc_seg": 68.97623, "loss": 0.41187, "time": 0.53025} +{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.28594, "decode.acc_seg": 71.81419, "aux.loss_seg": 0.14951, "aux.acc_seg": 69.68037, "loss": 0.43545, "time": 0.51022} +{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.27568, "decode.acc_seg": 70.58115, "aux.loss_seg": 0.14091, "aux.acc_seg": 68.7108, "loss": 0.4166, "time": 0.52303} +{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.30211, "decode.acc_seg": 72.36987, "aux.loss_seg": 0.15285, "aux.acc_seg": 70.23643, "loss": 0.45496, "time": 0.54262} +{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.30833, "decode.acc_seg": 72.85207, "aux.loss_seg": 0.15374, "aux.acc_seg": 71.05138, "loss": 0.46207, "time": 0.50982} +{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.2972, "decode.acc_seg": 70.57897, "aux.loss_seg": 0.15233, "aux.acc_seg": 68.5479, "loss": 0.44953, "time": 0.52915} +{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.28886, "decode.acc_seg": 71.98, "aux.loss_seg": 0.14905, "aux.acc_seg": 69.84978, "loss": 0.43791, "time": 0.5214} +{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.28277, "decode.acc_seg": 71.17654, "aux.loss_seg": 0.14535, "aux.acc_seg": 69.1856, "loss": 0.42813, "time": 0.53179} +{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.2677, "decode.acc_seg": 71.94361, "aux.loss_seg": 0.13468, "aux.acc_seg": 70.14699, "loss": 0.40238, "time": 0.51566} +{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.27689, "decode.acc_seg": 73.33049, "aux.loss_seg": 0.14081, "aux.acc_seg": 71.60299, "loss": 0.41771, "time": 0.52991} +{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.31143, "decode.acc_seg": 70.95399, "aux.loss_seg": 0.16134, "aux.acc_seg": 68.84917, "loss": 0.47277, "time": 0.52178} +{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.29128, "decode.acc_seg": 71.37745, "aux.loss_seg": 0.15067, "aux.acc_seg": 69.28263, "loss": 0.44195, "time": 0.5129} +{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.28348, "decode.acc_seg": 72.0848, "aux.loss_seg": 0.14365, "aux.acc_seg": 70.26847, "loss": 0.42713, "time": 0.52089} +{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.29418, "decode.acc_seg": 72.84103, "aux.loss_seg": 0.15307, "aux.acc_seg": 70.7995, "loss": 0.44725, "time": 0.51206} +{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.27584, "decode.acc_seg": 71.05742, "aux.loss_seg": 0.14265, "aux.acc_seg": 69.21185, "loss": 0.41848, "time": 0.5087} +{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.2874, "decode.acc_seg": 71.0378, "aux.loss_seg": 0.14921, "aux.acc_seg": 68.75542, "loss": 0.43661, "time": 0.51485} +{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.29334, "decode.acc_seg": 71.45957, "aux.loss_seg": 0.14785, "aux.acc_seg": 69.72695, "loss": 0.44119, "time": 0.54243} +{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.30095, "decode.acc_seg": 71.24422, "aux.loss_seg": 0.15741, "aux.acc_seg": 68.77741, "loss": 0.45836, "time": 0.54013} +{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.29972, "decode.acc_seg": 71.76819, "aux.loss_seg": 0.15182, "aux.acc_seg": 69.90059, "loss": 0.45154, "time": 0.51254} +{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.29918, "decode.acc_seg": 72.39659, "aux.loss_seg": 0.15085, "aux.acc_seg": 70.42378, "loss": 0.45003, "time": 0.51781} +{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.2989, "decode.acc_seg": 72.0368, "aux.loss_seg": 0.14942, "aux.acc_seg": 70.17681, "loss": 0.44832, "time": 0.51612} +{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 22404, "data_time": 0.24829, "decode.loss_seg": 0.28264, "decode.acc_seg": 71.64222, "aux.loss_seg": 0.14523, "aux.acc_seg": 69.72926, "loss": 0.42787, "time": 0.76757} +{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.28092, "decode.acc_seg": 71.88953, "aux.loss_seg": 0.14586, "aux.acc_seg": 69.84112, "loss": 0.42678, "time": 0.51487} +{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.27607, "decode.acc_seg": 73.81046, "aux.loss_seg": 0.14148, "aux.acc_seg": 71.90155, "loss": 0.41755, "time": 0.51797} +{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.28929, "decode.acc_seg": 71.66681, "aux.loss_seg": 0.14922, "aux.acc_seg": 69.45515, "loss": 0.43851, "time": 0.54073} +{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.28476, "decode.acc_seg": 72.54663, "aux.loss_seg": 0.14706, "aux.acc_seg": 70.5638, "loss": 0.43182, "time": 0.54633} +{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.28246, "decode.acc_seg": 72.32978, "aux.loss_seg": 0.14374, "aux.acc_seg": 70.64639, "loss": 0.4262, "time": 0.50764} +{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.28659, "decode.acc_seg": 71.03347, "aux.loss_seg": 0.14683, "aux.acc_seg": 68.84472, "loss": 0.43342, "time": 0.51454} +{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.28202, "decode.acc_seg": 70.38266, "aux.loss_seg": 0.14554, "aux.acc_seg": 68.50393, "loss": 0.42756, "time": 0.51154} +{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.28985, "decode.acc_seg": 72.33731, "aux.loss_seg": 0.14738, "aux.acc_seg": 70.46066, "loss": 0.43724, "time": 0.52953} +{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.27025, "decode.acc_seg": 71.02301, "aux.loss_seg": 0.13994, "aux.acc_seg": 69.13266, "loss": 0.41019, "time": 0.50973} +{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.28121, "decode.acc_seg": 71.24136, "aux.loss_seg": 0.14309, "aux.acc_seg": 69.33812, "loss": 0.4243, "time": 0.52987} +{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.2844, "decode.acc_seg": 71.31972, "aux.loss_seg": 0.14211, "aux.acc_seg": 69.64605, "loss": 0.42651, "time": 0.51424} +{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.29724, "decode.acc_seg": 71.16239, "aux.loss_seg": 0.15453, "aux.acc_seg": 69.18278, "loss": 0.45177, "time": 0.53414} +{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.27413, "decode.acc_seg": 69.73743, "aux.loss_seg": 0.14017, "aux.acc_seg": 67.79987, "loss": 0.4143, "time": 0.5306} +{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.27668, "decode.acc_seg": 71.92381, "aux.loss_seg": 0.14406, "aux.acc_seg": 69.81772, "loss": 0.42074, "time": 0.53166} +{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.27757, "decode.acc_seg": 72.86563, "aux.loss_seg": 0.14359, "aux.acc_seg": 70.92243, "loss": 0.42116, "time": 0.51854} +{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.28939, "decode.acc_seg": 72.66078, "aux.loss_seg": 0.15167, "aux.acc_seg": 70.48643, "loss": 0.44107, "time": 0.51433} +{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.31141, "decode.acc_seg": 70.80728, "aux.loss_seg": 0.1628, "aux.acc_seg": 68.49604, "loss": 0.47421, "time": 0.51106} +{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.27998, "decode.acc_seg": 72.42648, "aux.loss_seg": 0.14379, "aux.acc_seg": 70.63076, "loss": 0.42378, "time": 0.52832} +{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.29527, "decode.acc_seg": 71.15982, "aux.loss_seg": 0.14994, "aux.acc_seg": 69.11959, "loss": 0.44521, "time": 0.51311} +{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.28917, "decode.acc_seg": 71.38765, "aux.loss_seg": 0.14574, "aux.acc_seg": 69.54135, "loss": 0.43491, "time": 0.50996} +{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.28696, "decode.acc_seg": 70.49786, "aux.loss_seg": 0.14814, "aux.acc_seg": 68.35408, "loss": 0.4351, "time": 0.50888} +{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.3118, "decode.acc_seg": 72.07355, "aux.loss_seg": 0.1577, "aux.acc_seg": 69.99526, "loss": 0.4695, "time": 0.53821} +{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.28524, "decode.acc_seg": 71.6691, "aux.loss_seg": 0.14651, "aux.acc_seg": 69.56851, "loss": 0.43175, "time": 0.51} +{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.29163, "decode.acc_seg": 72.23163, "aux.loss_seg": 0.14777, "aux.acc_seg": 70.32161, "loss": 0.4394, "time": 0.52734} +{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 22404, "data_time": 0.24668, "decode.loss_seg": 0.27701, "decode.acc_seg": 72.04005, "aux.loss_seg": 0.13955, "aux.acc_seg": 70.20714, "loss": 0.41656, "time": 0.76321} +{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.26723, "decode.acc_seg": 69.47367, "aux.loss_seg": 0.13787, "aux.acc_seg": 67.57577, "loss": 0.4051, "time": 0.54058} +{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.28007, "decode.acc_seg": 72.25914, "aux.loss_seg": 0.14609, "aux.acc_seg": 70.11582, "loss": 0.42616, "time": 0.52843} +{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.29189, "decode.acc_seg": 70.91477, "aux.loss_seg": 0.15014, "aux.acc_seg": 68.86934, "loss": 0.44202, "time": 0.53883} +{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.28772, "decode.acc_seg": 72.72053, "aux.loss_seg": 0.14615, "aux.acc_seg": 70.66956, "loss": 0.43387, "time": 0.50879} +{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.29756, "decode.acc_seg": 72.22029, "aux.loss_seg": 0.15274, "aux.acc_seg": 70.14301, "loss": 0.4503, "time": 0.54099} +{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.27824, "decode.acc_seg": 71.64414, "aux.loss_seg": 0.14736, "aux.acc_seg": 69.26102, "loss": 0.4256, "time": 0.54537} +{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.28234, "decode.acc_seg": 71.52085, "aux.loss_seg": 0.14576, "aux.acc_seg": 69.49413, "loss": 0.4281, "time": 0.51782} +{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.28739, "decode.acc_seg": 71.82298, "aux.loss_seg": 0.14661, "aux.acc_seg": 69.78724, "loss": 0.434, "time": 0.51246} +{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.2854, "decode.acc_seg": 71.3158, "aux.loss_seg": 0.14569, "aux.acc_seg": 69.51994, "loss": 0.43109, "time": 0.52224} +{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.28969, "decode.acc_seg": 72.56485, "aux.loss_seg": 0.14746, "aux.acc_seg": 70.58275, "loss": 0.43715, "time": 0.53327} +{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.2842, "decode.acc_seg": 71.85308, "aux.loss_seg": 0.14874, "aux.acc_seg": 69.76112, "loss": 0.43294, "time": 0.54802} +{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.27963, "decode.acc_seg": 71.93051, "aux.loss_seg": 0.14425, "aux.acc_seg": 69.93016, "loss": 0.42388, "time": 0.52857} +{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.28048, "decode.acc_seg": 72.42863, "aux.loss_seg": 0.1435, "aux.acc_seg": 70.46068, "loss": 0.42398, "time": 0.51248} +{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27682, "decode.acc_seg": 70.39646, "aux.loss_seg": 0.14282, "aux.acc_seg": 68.57508, "loss": 0.41965, "time": 0.52651} +{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.29042, "decode.acc_seg": 71.88731, "aux.loss_seg": 0.14775, "aux.acc_seg": 69.80739, "loss": 0.43818, "time": 0.51773} +{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.28237, "decode.acc_seg": 72.9226, "aux.loss_seg": 0.14643, "aux.acc_seg": 70.94322, "loss": 0.4288, "time": 0.50507} +{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.29149, "decode.acc_seg": 72.79851, "aux.loss_seg": 0.14865, "aux.acc_seg": 70.86037, "loss": 0.44014, "time": 0.51954} +{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.27735, "decode.acc_seg": 73.5783, "aux.loss_seg": 0.14161, "aux.acc_seg": 71.69383, "loss": 0.41896, "time": 0.51013} +{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.29532, "decode.acc_seg": 71.53862, "aux.loss_seg": 0.15185, "aux.acc_seg": 69.52498, "loss": 0.44717, "time": 0.50911} +{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.28069, "decode.acc_seg": 71.79524, "aux.loss_seg": 0.14332, "aux.acc_seg": 69.93801, "loss": 0.42401, "time": 0.52243} +{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.27742, "decode.acc_seg": 71.68552, "aux.loss_seg": 0.1455, "aux.acc_seg": 69.47646, "loss": 0.42292, "time": 0.52741} +{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.3081, "decode.acc_seg": 71.47225, "aux.loss_seg": 0.15887, "aux.acc_seg": 69.26971, "loss": 0.46697, "time": 0.54357} +{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.28362, "decode.acc_seg": 71.04064, "aux.loss_seg": 0.14886, "aux.acc_seg": 68.79414, "loss": 0.43248, "time": 0.54595} +{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.26939, "decode.acc_seg": 72.41995, "aux.loss_seg": 0.13882, "aux.acc_seg": 70.46485, "loss": 0.4082, "time": 0.54161} +{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 22404, "data_time": 0.24558, "decode.loss_seg": 0.30075, "decode.acc_seg": 72.15041, "aux.loss_seg": 0.14999, "aux.acc_seg": 70.15102, "loss": 0.45074, "time": 0.76805} +{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.27625, "decode.acc_seg": 72.23344, "aux.loss_seg": 0.14333, "aux.acc_seg": 70.20587, "loss": 0.41958, "time": 0.52431} +{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.2819, "decode.acc_seg": 72.18957, "aux.loss_seg": 0.14639, "aux.acc_seg": 70.22937, "loss": 0.42829, "time": 0.511} +{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.26389, "decode.acc_seg": 72.34951, "aux.loss_seg": 0.13483, "aux.acc_seg": 70.48416, "loss": 0.39872, "time": 0.52932} +{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.26386, "decode.acc_seg": 72.25184, "aux.loss_seg": 0.13746, "aux.acc_seg": 70.28202, "loss": 0.40133, "time": 0.51419} +{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.25924, "decode.acc_seg": 73.04401, "aux.loss_seg": 0.13613, "aux.acc_seg": 70.98947, "loss": 0.39537, "time": 0.50789} +{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.27124, "decode.acc_seg": 71.91827, "aux.loss_seg": 0.13805, "aux.acc_seg": 70.05396, "loss": 0.40929, "time": 0.53926} +{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.27093, "decode.acc_seg": 72.4285, "aux.loss_seg": 0.141, "aux.acc_seg": 70.36395, "loss": 0.41193, "time": 0.53876} +{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.27514, "decode.acc_seg": 72.23927, "aux.loss_seg": 0.14422, "aux.acc_seg": 70.2572, "loss": 0.41937, "time": 0.53909} +{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.2854, "decode.acc_seg": 71.20646, "aux.loss_seg": 0.14403, "aux.acc_seg": 69.32307, "loss": 0.42944, "time": 0.52424} +{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.2749, "decode.acc_seg": 71.56117, "aux.loss_seg": 0.14106, "aux.acc_seg": 69.63666, "loss": 0.41595, "time": 0.52058} +{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 22404, "data_time": 0.00818, "decode.loss_seg": 0.27405, "decode.acc_seg": 71.83955, "aux.loss_seg": 0.14097, "aux.acc_seg": 70.05174, "loss": 0.41502, "time": 0.53496} +{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.2712, "decode.acc_seg": 70.63148, "aux.loss_seg": 0.14134, "aux.acc_seg": 68.69759, "loss": 0.41254, "time": 0.51337} +{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.29557, "decode.acc_seg": 71.34109, "aux.loss_seg": 0.14779, "aux.acc_seg": 69.69133, "loss": 0.44336, "time": 0.52081} +{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.27267, "decode.acc_seg": 72.54336, "aux.loss_seg": 0.14302, "aux.acc_seg": 70.46597, "loss": 0.41569, "time": 0.50888} +{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.29119, "decode.acc_seg": 71.47031, "aux.loss_seg": 0.15073, "aux.acc_seg": 69.44901, "loss": 0.44191, "time": 0.50951} +{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.27821, "decode.acc_seg": 71.14736, "aux.loss_seg": 0.14631, "aux.acc_seg": 69.07568, "loss": 0.42453, "time": 0.52864} +{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 22404, "data_time": 0.00827, "decode.loss_seg": 0.27345, "decode.acc_seg": 71.75764, "aux.loss_seg": 0.14001, "aux.acc_seg": 69.76192, "loss": 0.41346, "time": 0.53851} +{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 22404, "data_time": 0.00828, "decode.loss_seg": 0.2954, "decode.acc_seg": 71.19005, "aux.loss_seg": 0.15307, "aux.acc_seg": 68.86301, "loss": 0.44847, "time": 0.51833} +{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.28576, "decode.acc_seg": 70.42423, "aux.loss_seg": 0.14325, "aux.acc_seg": 68.77663, "loss": 0.42901, "time": 0.5161} +{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.29715, "decode.acc_seg": 71.36442, "aux.loss_seg": 0.15289, "aux.acc_seg": 69.23733, "loss": 0.45004, "time": 0.52075} +{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.27604, "decode.acc_seg": 71.63588, "aux.loss_seg": 0.1417, "aux.acc_seg": 69.65405, "loss": 0.41775, "time": 0.53912} +{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 22404, "data_time": 0.00845, "decode.loss_seg": 0.27995, "decode.acc_seg": 71.36498, "aux.loss_seg": 0.14554, "aux.acc_seg": 69.24944, "loss": 0.42549, "time": 0.52094} +{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 22404, "data_time": 0.00829, "decode.loss_seg": 0.2654, "decode.acc_seg": 72.09058, "aux.loss_seg": 0.13718, "aux.acc_seg": 70.32227, "loss": 0.40258, "time": 0.51448} +{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.27789, "decode.acc_seg": 70.39863, "aux.loss_seg": 0.14262, "aux.acc_seg": 68.47993, "loss": 0.42051, "time": 0.51346} +{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 22404, "data_time": 0.24814, "decode.loss_seg": 0.28336, "decode.acc_seg": 72.06456, "aux.loss_seg": 0.14525, "aux.acc_seg": 70.03442, "loss": 0.42862, "time": 0.74812} +{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.27885, "decode.acc_seg": 72.2332, "aux.loss_seg": 0.14394, "aux.acc_seg": 70.46417, "loss": 0.42279, "time": 0.50589} +{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25875, "decode.acc_seg": 70.24344, "aux.loss_seg": 0.1326, "aux.acc_seg": 68.26653, "loss": 0.39135, "time": 0.50976} +{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.26856, "decode.acc_seg": 70.6153, "aux.loss_seg": 0.13962, "aux.acc_seg": 68.62662, "loss": 0.40818, "time": 0.54248} +{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.26853, "decode.acc_seg": 72.296, "aux.loss_seg": 0.14053, "aux.acc_seg": 70.30771, "loss": 0.40906, "time": 0.52645} +{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27232, "decode.acc_seg": 71.28705, "aux.loss_seg": 0.14089, "aux.acc_seg": 69.33028, "loss": 0.4132, "time": 0.52209} +{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.28103, "decode.acc_seg": 72.46279, "aux.loss_seg": 0.14448, "aux.acc_seg": 70.51421, "loss": 0.42551, "time": 0.54836} +{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.26346, "decode.acc_seg": 70.58149, "aux.loss_seg": 0.13838, "aux.acc_seg": 68.65838, "loss": 0.40184, "time": 0.54512} +{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.25777, "decode.acc_seg": 73.57946, "aux.loss_seg": 0.13306, "aux.acc_seg": 71.68362, "loss": 0.39083, "time": 0.5112} +{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.28231, "decode.acc_seg": 70.98508, "aux.loss_seg": 0.14972, "aux.acc_seg": 68.7417, "loss": 0.43203, "time": 0.51196} +{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.26803, "decode.acc_seg": 73.04577, "aux.loss_seg": 0.14069, "aux.acc_seg": 71.01888, "loss": 0.40872, "time": 0.51268} +{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.26612, "decode.acc_seg": 72.12354, "aux.loss_seg": 0.13458, "aux.acc_seg": 70.39799, "loss": 0.4007, "time": 0.50827} +{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.2821, "decode.acc_seg": 71.70218, "aux.loss_seg": 0.146, "aux.acc_seg": 69.75644, "loss": 0.4281, "time": 0.51173} +{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.25878, "decode.acc_seg": 72.60792, "aux.loss_seg": 0.13666, "aux.acc_seg": 70.571, "loss": 0.39544, "time": 0.51164} +{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.2772, "decode.acc_seg": 71.06529, "aux.loss_seg": 0.14036, "aux.acc_seg": 69.3489, "loss": 0.41757, "time": 0.53698} +{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.26763, "decode.acc_seg": 73.45384, "aux.loss_seg": 0.14103, "aux.acc_seg": 71.41916, "loss": 0.40867, "time": 0.50882} +{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.26109, "decode.acc_seg": 72.01421, "aux.loss_seg": 0.1383, "aux.acc_seg": 69.81901, "loss": 0.39939, "time": 0.51051} +{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.29628, "decode.acc_seg": 70.56441, "aux.loss_seg": 0.15506, "aux.acc_seg": 68.12401, "loss": 0.45134, "time": 0.52474} +{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.29803, "decode.acc_seg": 71.1833, "aux.loss_seg": 0.15125, "aux.acc_seg": 69.2804, "loss": 0.44928, "time": 0.51594} +{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.28552, "decode.acc_seg": 73.31881, "aux.loss_seg": 0.14686, "aux.acc_seg": 71.23796, "loss": 0.43238, "time": 0.5367} +{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.28217, "decode.acc_seg": 71.16645, "aux.loss_seg": 0.14414, "aux.acc_seg": 69.15531, "loss": 0.4263, "time": 0.51679} +{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.28598, "decode.acc_seg": 70.76564, "aux.loss_seg": 0.14481, "aux.acc_seg": 68.95042, "loss": 0.43079, "time": 0.5153} +{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.2794, "decode.acc_seg": 71.44587, "aux.loss_seg": 0.14647, "aux.acc_seg": 69.28341, "loss": 0.42587, "time": 0.54587} +{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.29111, "decode.acc_seg": 70.63614, "aux.loss_seg": 0.14955, "aux.acc_seg": 68.53333, "loss": 0.44066, "time": 0.55156} +{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.29569, "decode.acc_seg": 70.45813, "aux.loss_seg": 0.15082, "aux.acc_seg": 68.31355, "loss": 0.44651, "time": 0.53631} +{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.27891, "decode.acc_seg": 72.844, "aux.loss_seg": 0.14286, "aux.acc_seg": 71.05058, "loss": 0.42176, "time": 0.53393} +{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 22404, "data_time": 0.24254, "decode.loss_seg": 0.25094, "decode.acc_seg": 72.28484, "aux.loss_seg": 0.13359, "aux.acc_seg": 70.17587, "loss": 0.38452, "time": 0.76027} +{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.27652, "decode.acc_seg": 71.3117, "aux.loss_seg": 0.14597, "aux.acc_seg": 69.27898, "loss": 0.42249, "time": 0.51261} +{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.27915, "decode.acc_seg": 73.19545, "aux.loss_seg": 0.14732, "aux.acc_seg": 70.9659, "loss": 0.42647, "time": 0.51175} +{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.27797, "decode.acc_seg": 70.80509, "aux.loss_seg": 0.14482, "aux.acc_seg": 68.66831, "loss": 0.4228, "time": 0.52048} +{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.266, "decode.acc_seg": 72.1383, "aux.loss_seg": 0.13862, "aux.acc_seg": 70.14211, "loss": 0.40462, "time": 0.51678} +{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.2699, "decode.acc_seg": 71.12458, "aux.loss_seg": 0.13812, "aux.acc_seg": 69.19962, "loss": 0.40802, "time": 0.51303} +{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.26925, "decode.acc_seg": 72.2138, "aux.loss_seg": 0.1404, "aux.acc_seg": 70.21708, "loss": 0.40965, "time": 0.509} +{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.26921, "decode.acc_seg": 73.15027, "aux.loss_seg": 0.13881, "aux.acc_seg": 71.30282, "loss": 0.40802, "time": 0.51273} +{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.26779, "decode.acc_seg": 69.826, "aux.loss_seg": 0.13589, "aux.acc_seg": 68.22686, "loss": 0.40369, "time": 0.51023} +{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.26319, "decode.acc_seg": 72.31137, "aux.loss_seg": 0.13837, "aux.acc_seg": 70.28578, "loss": 0.40157, "time": 0.51109} +{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.28664, "decode.acc_seg": 72.24854, "aux.loss_seg": 0.14899, "aux.acc_seg": 69.9927, "loss": 0.43562, "time": 0.52354} +{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.26616, "decode.acc_seg": 72.2977, "aux.loss_seg": 0.1368, "aux.acc_seg": 70.4826, "loss": 0.40296, "time": 0.51946} +{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.27956, "decode.acc_seg": 71.83445, "aux.loss_seg": 0.14425, "aux.acc_seg": 69.83662, "loss": 0.42381, "time": 0.53468} +{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.27595, "decode.acc_seg": 73.01342, "aux.loss_seg": 0.14026, "aux.acc_seg": 71.31781, "loss": 0.41621, "time": 0.53144} +{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.25751, "decode.acc_seg": 72.49183, "aux.loss_seg": 0.13469, "aux.acc_seg": 70.52808, "loss": 0.3922, "time": 0.54123} +{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.26412, "decode.acc_seg": 73.27827, "aux.loss_seg": 0.13918, "aux.acc_seg": 71.07197, "loss": 0.40329, "time": 0.51989} +{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.27528, "decode.acc_seg": 70.40803, "aux.loss_seg": 0.14071, "aux.acc_seg": 68.31914, "loss": 0.41599, "time": 0.51634} +{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.26134, "decode.acc_seg": 72.39495, "aux.loss_seg": 0.1358, "aux.acc_seg": 70.46038, "loss": 0.39714, "time": 0.50928} +{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.2712, "decode.acc_seg": 72.31092, "aux.loss_seg": 0.14402, "aux.acc_seg": 70.17533, "loss": 0.41522, "time": 0.50892} +{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.25964, "decode.acc_seg": 72.15193, "aux.loss_seg": 0.13951, "aux.acc_seg": 69.92904, "loss": 0.39914, "time": 0.51226} +{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.27026, "decode.acc_seg": 72.12775, "aux.loss_seg": 0.14249, "aux.acc_seg": 70.01742, "loss": 0.41275, "time": 0.52857} +{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.27391, "decode.acc_seg": 72.18618, "aux.loss_seg": 0.14152, "aux.acc_seg": 70.29577, "loss": 0.41543, "time": 0.5104} +{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.24728, "decode.acc_seg": 73.28155, "aux.loss_seg": 0.13099, "aux.acc_seg": 71.25192, "loss": 0.37827, "time": 0.5119} +{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.27714, "decode.acc_seg": 71.29221, "aux.loss_seg": 0.14188, "aux.acc_seg": 69.413, "loss": 0.41902, "time": 0.5214} +{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.25505, "decode.acc_seg": 72.16513, "aux.loss_seg": 0.13031, "aux.acc_seg": 70.35552, "loss": 0.38536, "time": 0.51368} +{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 22404, "data_time": 0.2441, "decode.loss_seg": 0.26883, "decode.acc_seg": 71.26919, "aux.loss_seg": 0.13816, "aux.acc_seg": 69.40958, "loss": 0.40699, "time": 0.75204} +{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.27515, "decode.acc_seg": 71.73337, "aux.loss_seg": 0.14522, "aux.acc_seg": 69.54163, "loss": 0.42037, "time": 0.53374} +{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.24912, "decode.acc_seg": 72.61166, "aux.loss_seg": 0.13173, "aux.acc_seg": 70.53774, "loss": 0.38085, "time": 0.51367} +{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.25265, "decode.acc_seg": 73.3791, "aux.loss_seg": 0.13434, "aux.acc_seg": 71.25322, "loss": 0.38699, "time": 0.51575} +{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.24646, "decode.acc_seg": 71.96266, "aux.loss_seg": 0.12852, "aux.acc_seg": 70.11702, "loss": 0.37498, "time": 0.51411} +{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.26571, "decode.acc_seg": 72.79162, "aux.loss_seg": 0.14012, "aux.acc_seg": 70.72358, "loss": 0.40584, "time": 0.51639} +{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.26604, "decode.acc_seg": 71.42075, "aux.loss_seg": 0.13667, "aux.acc_seg": 69.72116, "loss": 0.40271, "time": 0.53662} +{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.27968, "decode.acc_seg": 73.03159, "aux.loss_seg": 0.14249, "aux.acc_seg": 71.26706, "loss": 0.42217, "time": 0.52722} +{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.26323, "decode.acc_seg": 71.24061, "aux.loss_seg": 0.13825, "aux.acc_seg": 69.26534, "loss": 0.40148, "time": 0.52163} +{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.27323, "decode.acc_seg": 72.59474, "aux.loss_seg": 0.14047, "aux.acc_seg": 70.78547, "loss": 0.4137, "time": 0.52655} +{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.2771, "decode.acc_seg": 72.80134, "aux.loss_seg": 0.14511, "aux.acc_seg": 70.71609, "loss": 0.42222, "time": 0.51204} +{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.26619, "decode.acc_seg": 71.45661, "aux.loss_seg": 0.13993, "aux.acc_seg": 69.51592, "loss": 0.40612, "time": 0.50993} +{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.2903, "decode.acc_seg": 72.12098, "aux.loss_seg": 0.14974, "aux.acc_seg": 70.15912, "loss": 0.44004, "time": 0.50957} +{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.26753, "decode.acc_seg": 70.79119, "aux.loss_seg": 0.13768, "aux.acc_seg": 68.92236, "loss": 0.40522, "time": 0.50984} +{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.27847, "decode.acc_seg": 72.02166, "aux.loss_seg": 0.14582, "aux.acc_seg": 69.98237, "loss": 0.42429, "time": 0.51234} +{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.29406, "decode.acc_seg": 71.79562, "aux.loss_seg": 0.1502, "aux.acc_seg": 69.92996, "loss": 0.44426, "time": 0.51061} +{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.27231, "decode.acc_seg": 72.60717, "aux.loss_seg": 0.14229, "aux.acc_seg": 70.5821, "loss": 0.4146, "time": 0.50782} +{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 22404, "data_time": 0.0081, "decode.loss_seg": 0.26244, "decode.acc_seg": 71.65558, "aux.loss_seg": 0.13746, "aux.acc_seg": 69.56195, "loss": 0.3999, "time": 0.52777} +{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.27019, "decode.acc_seg": 71.68677, "aux.loss_seg": 0.1377, "aux.acc_seg": 69.8829, "loss": 0.40789, "time": 0.5128} +{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.27953, "decode.acc_seg": 72.28599, "aux.loss_seg": 0.14271, "aux.acc_seg": 70.28936, "loss": 0.42224, "time": 0.51321} +{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.27198, "decode.acc_seg": 71.55512, "aux.loss_seg": 0.14384, "aux.acc_seg": 69.50686, "loss": 0.41582, "time": 0.53457} +{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.27953, "decode.acc_seg": 71.32617, "aux.loss_seg": 0.1427, "aux.acc_seg": 69.32249, "loss": 0.42223, "time": 0.51146} +{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.27286, "decode.acc_seg": 71.31156, "aux.loss_seg": 0.14039, "aux.acc_seg": 69.31153, "loss": 0.41326, "time": 0.51179} +{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.27332, "decode.acc_seg": 71.54152, "aux.loss_seg": 0.13822, "aux.acc_seg": 69.77824, "loss": 0.41154, "time": 0.51417} +{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.27706, "decode.acc_seg": 72.07827, "aux.loss_seg": 0.14346, "aux.acc_seg": 70.05825, "loss": 0.42052, "time": 0.5209} +{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 22404, "data_time": 0.24808, "decode.loss_seg": 0.25743, "decode.acc_seg": 73.0614, "aux.loss_seg": 0.13378, "aux.acc_seg": 71.11075, "loss": 0.39121, "time": 0.75766} +{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.26479, "decode.acc_seg": 73.37661, "aux.loss_seg": 0.13847, "aux.acc_seg": 71.47469, "loss": 0.40326, "time": 0.5121} +{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.25493, "decode.acc_seg": 72.5682, "aux.loss_seg": 0.13401, "aux.acc_seg": 70.51217, "loss": 0.38894, "time": 0.5082} +{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27359, "decode.acc_seg": 73.12339, "aux.loss_seg": 0.14428, "aux.acc_seg": 70.89399, "loss": 0.41788, "time": 0.5071} +{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.27036, "decode.acc_seg": 73.8463, "aux.loss_seg": 0.14302, "aux.acc_seg": 71.67586, "loss": 0.41339, "time": 0.51111} +{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.27462, "decode.acc_seg": 72.53081, "aux.loss_seg": 0.14443, "aux.acc_seg": 70.51358, "loss": 0.41904, "time": 0.51178} +{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.27521, "decode.acc_seg": 72.68798, "aux.loss_seg": 0.14079, "aux.acc_seg": 70.71162, "loss": 0.416, "time": 0.5113} +{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.26151, "decode.acc_seg": 72.9484, "aux.loss_seg": 0.13581, "aux.acc_seg": 70.91134, "loss": 0.39732, "time": 0.51169} +{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.23873, "decode.acc_seg": 72.05549, "aux.loss_seg": 0.12801, "aux.acc_seg": 69.87114, "loss": 0.36674, "time": 0.51083} +{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.27783, "decode.acc_seg": 73.01183, "aux.loss_seg": 0.14496, "aux.acc_seg": 70.89145, "loss": 0.42279, "time": 0.51375} +{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.289, "decode.acc_seg": 72.32202, "aux.loss_seg": 0.14645, "aux.acc_seg": 70.57052, "loss": 0.43545, "time": 0.51523} +{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.26422, "decode.acc_seg": 71.88519, "aux.loss_seg": 0.13746, "aux.acc_seg": 69.86024, "loss": 0.40169, "time": 0.51427} +{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.25805, "decode.acc_seg": 72.65517, "aux.loss_seg": 0.13506, "aux.acc_seg": 70.8117, "loss": 0.39311, "time": 0.52313} +{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.27637, "decode.acc_seg": 72.49041, "aux.loss_seg": 0.14312, "aux.acc_seg": 70.50088, "loss": 0.41949, "time": 0.54005} +{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.26545, "decode.acc_seg": 71.81633, "aux.loss_seg": 0.13659, "aux.acc_seg": 70.00089, "loss": 0.40204, "time": 0.52116} +{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.2577, "decode.acc_seg": 71.56875, "aux.loss_seg": 0.13354, "aux.acc_seg": 69.78313, "loss": 0.39125, "time": 0.50798} +{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.27334, "decode.acc_seg": 71.68251, "aux.loss_seg": 0.14138, "aux.acc_seg": 69.6215, "loss": 0.41472, "time": 0.51066} +{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.2707, "decode.acc_seg": 71.49341, "aux.loss_seg": 0.14262, "aux.acc_seg": 69.35259, "loss": 0.41332, "time": 0.51247} +{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.25904, "decode.acc_seg": 73.20482, "aux.loss_seg": 0.13774, "aux.acc_seg": 70.93642, "loss": 0.39678, "time": 0.53241} +{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.28269, "decode.acc_seg": 72.23958, "aux.loss_seg": 0.1483, "aux.acc_seg": 69.89978, "loss": 0.43099, "time": 0.53322} +{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.26479, "decode.acc_seg": 72.00297, "aux.loss_seg": 0.13793, "aux.acc_seg": 69.99563, "loss": 0.40272, "time": 0.54541} +{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.25319, "decode.acc_seg": 72.00661, "aux.loss_seg": 0.13326, "aux.acc_seg": 69.97464, "loss": 0.38645, "time": 0.51497} +{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.25995, "decode.acc_seg": 71.72663, "aux.loss_seg": 0.13518, "aux.acc_seg": 69.83996, "loss": 0.39513, "time": 0.52681} +{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.25993, "decode.acc_seg": 71.87648, "aux.loss_seg": 0.13677, "aux.acc_seg": 69.86667, "loss": 0.3967, "time": 0.53321} +{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.2616, "decode.acc_seg": 70.70128, "aux.loss_seg": 0.13683, "aux.acc_seg": 68.73264, "loss": 0.39842, "time": 0.52108} +{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.27088, "decode.acc_seg": 71.65029, "aux.loss_seg": 0.14228, "aux.acc_seg": 69.33809, "loss": 0.41316, "time": 0.50537} +{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 22404, "data_time": 0.2473, "decode.loss_seg": 0.25862, "decode.acc_seg": 72.23636, "aux.loss_seg": 0.13558, "aux.acc_seg": 70.17862, "loss": 0.3942, "time": 0.7509} +{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.25892, "decode.acc_seg": 73.36516, "aux.loss_seg": 0.13605, "aux.acc_seg": 71.2474, "loss": 0.39498, "time": 0.51964} +{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.26093, "decode.acc_seg": 73.93008, "aux.loss_seg": 0.13575, "aux.acc_seg": 71.99204, "loss": 0.39667, "time": 0.52795} +{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.2524, "decode.acc_seg": 72.1796, "aux.loss_seg": 0.13304, "aux.acc_seg": 70.13654, "loss": 0.38543, "time": 0.52938} +{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25364, "decode.acc_seg": 72.12253, "aux.loss_seg": 0.13294, "aux.acc_seg": 70.17142, "loss": 0.38658, "time": 0.5097} +{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.2764, "decode.acc_seg": 71.27964, "aux.loss_seg": 0.14316, "aux.acc_seg": 69.21378, "loss": 0.41956, "time": 0.51211} +{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 22404, "data_time": 0.00814, "decode.loss_seg": 0.26908, "decode.acc_seg": 72.47473, "aux.loss_seg": 0.14131, "aux.acc_seg": 70.4915, "loss": 0.41039, "time": 0.51429} +{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.24989, "decode.acc_seg": 72.90366, "aux.loss_seg": 0.12907, "aux.acc_seg": 71.34258, "loss": 0.37896, "time": 0.53253} +{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.25193, "decode.acc_seg": 72.43827, "aux.loss_seg": 0.13388, "aux.acc_seg": 70.40305, "loss": 0.38581, "time": 0.51467} +{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.26303, "decode.acc_seg": 73.49614, "aux.loss_seg": 0.13908, "aux.acc_seg": 71.40705, "loss": 0.40211, "time": 0.51005} +{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25942, "decode.acc_seg": 73.03999, "aux.loss_seg": 0.13431, "aux.acc_seg": 71.14245, "loss": 0.39373, "time": 0.50527} +{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.26218, "decode.acc_seg": 72.64605, "aux.loss_seg": 0.1366, "aux.acc_seg": 70.65069, "loss": 0.39878, "time": 0.51818} +{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.24631, "decode.acc_seg": 72.13983, "aux.loss_seg": 0.12965, "aux.acc_seg": 70.35391, "loss": 0.37597, "time": 0.50482} +{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.2594, "decode.acc_seg": 73.12199, "aux.loss_seg": 0.13347, "aux.acc_seg": 71.33407, "loss": 0.39287, "time": 0.50678} +{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.26611, "decode.acc_seg": 70.20123, "aux.loss_seg": 0.13906, "aux.acc_seg": 68.1931, "loss": 0.40517, "time": 0.508} +{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25347, "decode.acc_seg": 73.12974, "aux.loss_seg": 0.13146, "aux.acc_seg": 71.3351, "loss": 0.38493, "time": 0.51003} +{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4645, "mAcc": 0.5876, "aAcc": 0.8157, "IoU.wall": 0.7457, "IoU.building": 0.7965, "IoU.sky": 0.9371, "IoU.floor": 0.8023, "IoU.tree": 0.7305, "IoU.ceiling": 0.8194, "IoU.road": 0.8254, "IoU.bed ": 0.8758, "IoU.windowpane": 0.5846, "IoU.grass": 0.6877, "IoU.cabinet": 0.5862, "IoU.sidewalk": 0.6311, "IoU.person": 0.7605, "IoU.earth": 0.3537, "IoU.door": 0.4355, "IoU.table": 0.5284, "IoU.mountain": 0.6021, "IoU.plant": 0.5246, "IoU.curtain": 0.6837, "IoU.chair": 0.5192, "IoU.car": 0.8288, "IoU.water": 0.5106, "IoU.painting": 0.6943, "IoU.sofa": 0.5833, "IoU.shelf": 0.411, "IoU.house": 0.4589, "IoU.sea": 0.5354, "IoU.mirror": 0.6243, "IoU.rug": 0.5938, "IoU.field": 0.3237, "IoU.armchair": 0.3727, "IoU.seat": 0.642, "IoU.fence": 0.4678, "IoU.desk": 0.4432, "IoU.rock": 0.5076, "IoU.wardrobe": 0.4858, "IoU.lamp": 0.5706, "IoU.bathtub": 0.6733, "IoU.railing": 0.3081, "IoU.cushion": 0.5145, "IoU.base": 0.252, "IoU.box": 0.2412, "IoU.column": 0.4031, "IoU.signboard": 0.3522, "IoU.chest of drawers": 0.4243, "IoU.counter": 0.2826, "IoU.sand": 0.4, "IoU.sink": 0.6727, "IoU.skyscraper": 0.5488, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6889, "IoU.grandstand": 0.3549, "IoU.path": 0.2389, "IoU.stairs": 0.3083, "IoU.runway": 0.7233, "IoU.case": 0.49, "IoU.pool table": 0.896, "IoU.pillow": 0.5308, "IoU.screen door": 0.6485, "IoU.stairway": 0.3473, "IoU.river": 0.1449, "IoU.bridge": 0.656, "IoU.bookcase": 0.3829, "IoU.blind": NaN, "IoU.coffee table": 0.5149, "IoU.toilet": 0.7931, "IoU.flower": 0.388, "IoU.book": 0.4527, "IoU.hill": 0.0439, "IoU.bench": 0.5123, "IoU.countertop": 0.4574, "IoU.stove": 0.6674, "IoU.palm": 0.474, "IoU.kitchen island": 0.3003, "IoU.computer": 0.6943, "IoU.swivel chair": 0.426, "IoU.boat": 0.3913, "IoU.bar": 0.29, "IoU.arcade machine": 0.7755, "IoU.hovel": 0.4237, "IoU.bus": 0.8334, "IoU.towel": 0.5455, "IoU.light": 0.4985, "IoU.truck": 0.3253, "IoU.tower": 0.3041, "IoU.chandelier": 0.6366, "IoU.awning": 0.2401, "IoU.streetlight": 0.188, "IoU.booth": 0.5069, "IoU.television receiver": NaN, "IoU.airplane": 0.5751, "IoU.dirt track": 0.1749, "IoU.apparel": 0.2299, "IoU.pole": 0.1626, "IoU.land": 0.056, "IoU.bannister": 0.1165, "IoU.escalator": 0.5303, "IoU.ottoman": 0.3664, "IoU.bottle": NaN, "IoU.buffet": 0.5052, "IoU.poster": 0.2464, "IoU.stage": 0.1789, "IoU.van": 0.3883, "IoU.ship": 0.6403, "IoU.fountain": 0.1942, "IoU.conveyer belt": 0.517, "IoU.canopy": 0.1527, "IoU.washer": 0.7863, "IoU.plaything": 0.1889, "IoU.swimming pool": 0.5194, "IoU.stool": 0.3737, "IoU.barrel": 0.4993, "IoU.basket": 0.2699, "IoU.waterfall": 0.6082, "IoU.tent": 0.8859, "IoU.bag": 0.0933, "IoU.minibike": 0.7066, "IoU.cradle": NaN, "IoU.oven": 0.1907, "IoU.ball": 0.3955, "IoU.food": 0.4851, "IoU.step": 0.1135, "IoU.tank": 0.4831, "IoU.trade name": 0.2307, "IoU.microwave": 0.6666, "IoU.pot": 0.5132, "IoU.animal": NaN, "IoU.bicycle": 0.5129, "IoU.lake": 0.6198, "IoU.dishwasher": 0.4297, "IoU.screen": 0.6673, "IoU.blanket": 0.1585, "IoU.sculpture": 0.4723, "IoU.hood": 0.5285, "IoU.sconce": 0.3463, "IoU.vase": 0.3048, "IoU.traffic light": 0.2448, "IoU.tray": 0.0387, "IoU.ashcan": 0.3495, "IoU.fan": 0.5274, "IoU.pier": 0.3158, "IoU.crt screen": 0.1012, "IoU.plate": 0.5249, "IoU.monitor": 0.4568, "IoU.bulletin board": 0.2863, "IoU.shower": 0.0097, "IoU.radiator": 0.6288, "IoU.glass": 0.1033, "IoU.clock": 0.2388, "IoU.flag": 0.3283, "Acc.wall": 0.8757, "Acc.building": 0.9031, "Acc.sky": 0.9724, "Acc.floor": 0.8867, "Acc.tree": 0.8612, "Acc.ceiling": 0.9061, "Acc.road": 0.8856, "Acc.bed ": 0.9492, "Acc.windowpane": 0.7447, "Acc.grass": 0.8259, "Acc.cabinet": 0.6976, "Acc.sidewalk": 0.8204, "Acc.person": 0.8835, "Acc.earth": 0.5078, "Acc.door": 0.5896, "Acc.table": 0.7161, "Acc.mountain": 0.7832, "Acc.plant": 0.6463, "Acc.curtain": 0.7867, "Acc.chair": 0.6393, "Acc.car": 0.9075, "Acc.water": 0.6821, "Acc.painting": 0.838, "Acc.sofa": 0.7772, "Acc.shelf": 0.5258, "Acc.house": 0.7359, "Acc.sea": 0.764, "Acc.mirror": 0.7205, "Acc.rug": 0.7204, "Acc.field": 0.4421, "Acc.armchair": 0.5419, "Acc.seat": 0.7795, "Acc.fence": 0.6428, "Acc.desk": 0.6966, "Acc.rock": 0.8035, "Acc.wardrobe": 0.5793, "Acc.lamp": 0.6759, "Acc.bathtub": 0.7941, "Acc.railing": 0.4241, "Acc.cushion": 0.6445, "Acc.base": 0.3587, "Acc.box": 0.3158, "Acc.column": 0.5602, "Acc.signboard": 0.5011, "Acc.chest of drawers": 0.5855, "Acc.counter": 0.4146, "Acc.sand": 0.5323, "Acc.sink": 0.7629, "Acc.skyscraper": 0.7057, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8554, "Acc.grandstand": 0.6149, "Acc.path": 0.3774, "Acc.stairs": 0.3526, "Acc.runway": 0.957, "Acc.case": 0.6966, "Acc.pool table": 0.9605, "Acc.pillow": 0.6594, "Acc.screen door": 0.7509, "Acc.stairway": 0.4195, "Acc.river": 0.25, "Acc.bridge": 0.7442, "Acc.bookcase": 0.4548, "Acc.blind": NaN, "Acc.coffee table": 0.7522, "Acc.toilet": 0.878, "Acc.flower": 0.4799, "Acc.book": 0.6311, "Acc.hill": 0.0499, "Acc.bench": 0.6267, "Acc.countertop": 0.6164, "Acc.stove": 0.8233, "Acc.palm": 0.7945, "Acc.kitchen island": 0.6717, "Acc.computer": 0.8188, "Acc.swivel chair": 0.6166, "Acc.boat": 0.4469, "Acc.bar": 0.3288, "Acc.arcade machine": 0.8715, "Acc.hovel": 0.4485, "Acc.bus": 0.9477, "Acc.towel": 0.6893, "Acc.light": 0.5511, "Acc.truck": 0.4616, "Acc.tower": 0.5855, "Acc.chandelier": 0.7869, "Acc.awning": 0.2978, "Acc.streetlight": 0.2361, "Acc.booth": 0.6134, "Acc.television receiver": NaN, "Acc.airplane": 0.6338, "Acc.dirt track": 0.408, "Acc.apparel": 0.3702, "Acc.pole": 0.239, "Acc.land": 0.0797, "Acc.bannister": 0.1458, "Acc.escalator": 0.8313, "Acc.ottoman": 0.506, "Acc.bottle": NaN, "Acc.buffet": 0.5564, "Acc.poster": 0.3271, "Acc.stage": 0.2475, "Acc.van": 0.4854, "Acc.ship": 0.9532, "Acc.fountain": 0.202, "Acc.conveyer belt": 0.7319, "Acc.canopy": 0.2474, "Acc.washer": 0.8293, "Acc.plaything": 0.2619, "Acc.swimming pool": 0.8781, "Acc.stool": 0.5484, "Acc.barrel": 0.7181, "Acc.basket": 0.3206, "Acc.waterfall": 0.7833, "Acc.tent": 0.989, "Acc.bag": 0.1093, "Acc.minibike": 0.8414, "Acc.cradle": NaN, "Acc.oven": 0.2549, "Acc.ball": 0.4428, "Acc.food": 0.5713, "Acc.step": 0.1297, "Acc.tank": 0.5273, "Acc.trade name": 0.2817, "Acc.microwave": 0.7693, "Acc.pot": 0.5747, "Acc.animal": NaN, "Acc.bicycle": 0.6904, "Acc.lake": 0.6215, "Acc.dishwasher": 0.5977, "Acc.screen": 0.8852, "Acc.blanket": 0.1831, "Acc.sculpture": 0.6325, "Acc.hood": 0.5539, "Acc.sconce": 0.4086, "Acc.vase": 0.5094, "Acc.traffic light": 0.3485, "Acc.tray": 0.0552, "Acc.ashcan": 0.426, "Acc.fan": 0.6872, "Acc.pier": 0.4534, "Acc.crt screen": 0.1266, "Acc.plate": 0.6221, "Acc.monitor": 0.6386, "Acc.bulletin board": 0.4624, "Acc.shower": 0.0337, "Acc.radiator": 0.7157, "Acc.glass": 0.1103, "Acc.clock": 0.2643, "Acc.flag": 0.3591} +{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 22404, "data_time": 1.57777, "decode.loss_seg": 0.27294, "decode.acc_seg": 73.05393, "aux.loss_seg": 0.1405, "aux.acc_seg": 71.08482, "loss": 0.41344, "time": 2.08931} +{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.26613, "decode.acc_seg": 72.19393, "aux.loss_seg": 0.13662, "aux.acc_seg": 70.21014, "loss": 0.40275, "time": 0.50989} +{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.27347, "decode.acc_seg": 72.55545, "aux.loss_seg": 0.14458, "aux.acc_seg": 70.45318, "loss": 0.41804, "time": 0.5306} +{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.28574, "decode.acc_seg": 73.08805, "aux.loss_seg": 0.14788, "aux.acc_seg": 70.99174, "loss": 0.43363, "time": 0.53831} +{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.2614, "decode.acc_seg": 72.15718, "aux.loss_seg": 0.13416, "aux.acc_seg": 70.42191, "loss": 0.39556, "time": 0.5195} +{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.27416, "decode.acc_seg": 73.41236, "aux.loss_seg": 0.14431, "aux.acc_seg": 71.27395, "loss": 0.41846, "time": 0.51007} +{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.24754, "decode.acc_seg": 71.73685, "aux.loss_seg": 0.13009, "aux.acc_seg": 69.84565, "loss": 0.37764, "time": 0.5152} +{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.26061, "decode.acc_seg": 72.83049, "aux.loss_seg": 0.13494, "aux.acc_seg": 70.89365, "loss": 0.39555, "time": 0.53448} +{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 22404, "data_time": 0.24557, "decode.loss_seg": 0.26236, "decode.acc_seg": 70.68655, "aux.loss_seg": 0.13755, "aux.acc_seg": 68.63039, "loss": 0.39992, "time": 0.74752} +{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.25263, "decode.acc_seg": 72.74004, "aux.loss_seg": 0.13461, "aux.acc_seg": 70.50702, "loss": 0.38724, "time": 0.52765} +{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.24511, "decode.acc_seg": 74.71356, "aux.loss_seg": 0.12605, "aux.acc_seg": 72.86314, "loss": 0.37116, "time": 0.52085} +{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.26214, "decode.acc_seg": 71.00792, "aux.loss_seg": 0.13607, "aux.acc_seg": 69.15675, "loss": 0.39821, "time": 0.51928} +{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.26965, "decode.acc_seg": 72.13575, "aux.loss_seg": 0.14, "aux.acc_seg": 70.15463, "loss": 0.40965, "time": 0.51536} +{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.26099, "decode.acc_seg": 72.76364, "aux.loss_seg": 0.13683, "aux.acc_seg": 70.71829, "loss": 0.39783, "time": 0.50891} +{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.26178, "decode.acc_seg": 73.02473, "aux.loss_seg": 0.13382, "aux.acc_seg": 71.14726, "loss": 0.3956, "time": 0.52365} +{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.25545, "decode.acc_seg": 72.52295, "aux.loss_seg": 0.13227, "aux.acc_seg": 70.66821, "loss": 0.38772, "time": 0.50901} +{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.25889, "decode.acc_seg": 72.71508, "aux.loss_seg": 0.13564, "aux.acc_seg": 70.78606, "loss": 0.39453, "time": 0.53347} +{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.25907, "decode.acc_seg": 71.66536, "aux.loss_seg": 0.1353, "aux.acc_seg": 69.75309, "loss": 0.39437, "time": 0.50985} +{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.27147, "decode.acc_seg": 72.31862, "aux.loss_seg": 0.14419, "aux.acc_seg": 70.018, "loss": 0.41566, "time": 0.51951} +{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.26554, "decode.acc_seg": 73.71212, "aux.loss_seg": 0.1372, "aux.acc_seg": 71.87342, "loss": 0.40275, "time": 0.50955} +{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.25434, "decode.acc_seg": 72.40717, "aux.loss_seg": 0.13479, "aux.acc_seg": 70.49706, "loss": 0.38913, "time": 0.51609} +{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.26743, "decode.acc_seg": 73.02733, "aux.loss_seg": 0.13698, "aux.acc_seg": 71.06716, "loss": 0.40441, "time": 0.51407} +{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.25732, "decode.acc_seg": 72.15733, "aux.loss_seg": 0.13388, "aux.acc_seg": 70.16472, "loss": 0.3912, "time": 0.50838} +{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.27243, "decode.acc_seg": 71.92564, "aux.loss_seg": 0.14313, "aux.acc_seg": 69.69493, "loss": 0.41555, "time": 0.52702} +{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.2601, "decode.acc_seg": 71.67605, "aux.loss_seg": 0.13503, "aux.acc_seg": 69.7104, "loss": 0.39514, "time": 0.51548} +{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.25323, "decode.acc_seg": 73.4144, "aux.loss_seg": 0.13318, "aux.acc_seg": 71.37895, "loss": 0.38641, "time": 0.53102} +{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.25811, "decode.acc_seg": 72.89569, "aux.loss_seg": 0.13762, "aux.acc_seg": 70.67207, "loss": 0.39573, "time": 0.54001} +{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.26397, "decode.acc_seg": 70.97312, "aux.loss_seg": 0.13701, "aux.acc_seg": 68.92499, "loss": 0.40099, "time": 0.51935} +{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.2595, "decode.acc_seg": 72.51714, "aux.loss_seg": 0.13545, "aux.acc_seg": 70.60408, "loss": 0.39495, "time": 0.52163} +{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.26242, "decode.acc_seg": 73.1152, "aux.loss_seg": 0.1354, "aux.acc_seg": 71.34588, "loss": 0.39782, "time": 0.52132} +{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.26256, "decode.acc_seg": 71.40668, "aux.loss_seg": 0.13935, "aux.acc_seg": 69.3577, "loss": 0.40191, "time": 0.5202} +{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.24642, "decode.acc_seg": 72.06165, "aux.loss_seg": 0.12749, "aux.acc_seg": 70.2385, "loss": 0.37392, "time": 0.53594} +{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.25499, "decode.acc_seg": 71.22169, "aux.loss_seg": 0.13467, "aux.acc_seg": 69.15251, "loss": 0.38965, "time": 0.52793} +{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 22404, "data_time": 0.25134, "decode.loss_seg": 0.24654, "decode.acc_seg": 71.57672, "aux.loss_seg": 0.13003, "aux.acc_seg": 69.7772, "loss": 0.37657, "time": 0.76272} +{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.24859, "decode.acc_seg": 73.90785, "aux.loss_seg": 0.12959, "aux.acc_seg": 71.99818, "loss": 0.37818, "time": 0.52134} +{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25934, "decode.acc_seg": 72.41013, "aux.loss_seg": 0.13587, "aux.acc_seg": 70.34072, "loss": 0.39521, "time": 0.51188} +{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.26193, "decode.acc_seg": 71.4385, "aux.loss_seg": 0.13509, "aux.acc_seg": 69.55669, "loss": 0.39702, "time": 0.51748} +{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.24538, "decode.acc_seg": 72.25504, "aux.loss_seg": 0.13031, "aux.acc_seg": 70.17468, "loss": 0.37569, "time": 0.51889} +{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.25828, "decode.acc_seg": 72.95219, "aux.loss_seg": 0.13651, "aux.acc_seg": 70.94346, "loss": 0.39479, "time": 0.51243} +{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.26493, "decode.acc_seg": 72.77836, "aux.loss_seg": 0.14151, "aux.acc_seg": 70.53859, "loss": 0.40643, "time": 0.50917} +{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.26313, "decode.acc_seg": 72.23247, "aux.loss_seg": 0.13621, "aux.acc_seg": 70.34231, "loss": 0.39934, "time": 0.51246} +{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.23558, "decode.acc_seg": 71.80704, "aux.loss_seg": 0.12643, "aux.acc_seg": 69.79007, "loss": 0.36201, "time": 0.51104} +{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2524, "decode.acc_seg": 73.083, "aux.loss_seg": 0.13176, "aux.acc_seg": 71.1767, "loss": 0.38416, "time": 0.52172} +{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.25211, "decode.acc_seg": 72.25179, "aux.loss_seg": 0.13074, "aux.acc_seg": 70.51738, "loss": 0.38285, "time": 0.53224} +{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.25999, "decode.acc_seg": 72.19943, "aux.loss_seg": 0.13353, "aux.acc_seg": 70.40816, "loss": 0.39351, "time": 0.51791} +{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.25296, "decode.acc_seg": 71.90188, "aux.loss_seg": 0.1341, "aux.acc_seg": 69.89644, "loss": 0.38706, "time": 0.51181} +{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.2473, "decode.acc_seg": 73.91839, "aux.loss_seg": 0.13165, "aux.acc_seg": 71.90036, "loss": 0.37896, "time": 0.50837} +{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.26184, "decode.acc_seg": 72.31767, "aux.loss_seg": 0.13772, "aux.acc_seg": 70.25475, "loss": 0.39955, "time": 0.50876} +{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.25596, "decode.acc_seg": 72.23227, "aux.loss_seg": 0.13224, "aux.acc_seg": 70.4505, "loss": 0.3882, "time": 0.51169} +{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.28325, "decode.acc_seg": 72.65961, "aux.loss_seg": 0.14672, "aux.acc_seg": 70.63488, "loss": 0.42998, "time": 0.51078} +{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.2686, "decode.acc_seg": 73.31314, "aux.loss_seg": 0.13797, "aux.acc_seg": 71.45778, "loss": 0.40657, "time": 0.51437} +{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.26332, "decode.acc_seg": 72.44767, "aux.loss_seg": 0.13804, "aux.acc_seg": 70.43091, "loss": 0.40136, "time": 0.52056} +{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.26381, "decode.acc_seg": 72.49622, "aux.loss_seg": 0.13494, "aux.acc_seg": 70.63734, "loss": 0.39875, "time": 0.51793} +{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.25491, "decode.acc_seg": 72.33405, "aux.loss_seg": 0.13337, "aux.acc_seg": 70.3168, "loss": 0.38827, "time": 0.54358} +{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.25249, "decode.acc_seg": 71.61179, "aux.loss_seg": 0.13104, "aux.acc_seg": 69.82937, "loss": 0.38353, "time": 0.51655} +{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.25521, "decode.acc_seg": 73.20234, "aux.loss_seg": 0.13137, "aux.acc_seg": 71.48879, "loss": 0.38658, "time": 0.50879} +{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27468, "decode.acc_seg": 72.74838, "aux.loss_seg": 0.14132, "aux.acc_seg": 70.67333, "loss": 0.416, "time": 0.53802} +{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25963, "decode.acc_seg": 72.47718, "aux.loss_seg": 0.13291, "aux.acc_seg": 70.77137, "loss": 0.39254, "time": 0.51113} +{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 22404, "data_time": 0.24133, "decode.loss_seg": 0.26094, "decode.acc_seg": 72.71009, "aux.loss_seg": 0.13639, "aux.acc_seg": 70.7296, "loss": 0.39734, "time": 0.76332} +{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.2448, "decode.acc_seg": 72.33386, "aux.loss_seg": 0.1301, "aux.acc_seg": 70.23082, "loss": 0.3749, "time": 0.53} +{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.25406, "decode.acc_seg": 73.22308, "aux.loss_seg": 0.1323, "aux.acc_seg": 71.2663, "loss": 0.38636, "time": 0.51011} +{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25684, "decode.acc_seg": 73.95045, "aux.loss_seg": 0.13576, "aux.acc_seg": 71.82947, "loss": 0.3926, "time": 0.51387} +{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.26203, "decode.acc_seg": 72.64995, "aux.loss_seg": 0.1374, "aux.acc_seg": 70.72217, "loss": 0.39943, "time": 0.52486} +{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.25593, "decode.acc_seg": 72.88182, "aux.loss_seg": 0.13473, "aux.acc_seg": 70.76237, "loss": 0.39066, "time": 0.52231} +{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.2538, "decode.acc_seg": 72.5683, "aux.loss_seg": 0.13429, "aux.acc_seg": 70.57395, "loss": 0.38809, "time": 0.51777} +{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.2715, "decode.acc_seg": 71.71197, "aux.loss_seg": 0.14073, "aux.acc_seg": 69.71017, "loss": 0.41223, "time": 0.51542} +{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.24761, "decode.acc_seg": 72.02675, "aux.loss_seg": 0.1287, "aux.acc_seg": 70.16485, "loss": 0.37631, "time": 0.51411} +{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.24622, "decode.acc_seg": 72.51064, "aux.loss_seg": 0.12955, "aux.acc_seg": 70.61685, "loss": 0.37577, "time": 0.51378} +{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.24606, "decode.acc_seg": 73.69144, "aux.loss_seg": 0.12949, "aux.acc_seg": 71.72946, "loss": 0.37555, "time": 0.51635} +{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.25253, "decode.acc_seg": 72.36034, "aux.loss_seg": 0.13352, "aux.acc_seg": 70.3635, "loss": 0.38605, "time": 0.51523} +{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.2534, "decode.acc_seg": 72.59395, "aux.loss_seg": 0.12857, "aux.acc_seg": 70.93195, "loss": 0.38197, "time": 0.51091} +{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.25709, "decode.acc_seg": 72.27794, "aux.loss_seg": 0.13628, "aux.acc_seg": 70.17846, "loss": 0.39337, "time": 0.50989} +{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.24873, "decode.acc_seg": 73.40907, "aux.loss_seg": 0.12935, "aux.acc_seg": 71.3961, "loss": 0.37808, "time": 0.51024} +{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.25095, "decode.acc_seg": 71.69424, "aux.loss_seg": 0.13002, "aux.acc_seg": 69.79351, "loss": 0.38096, "time": 0.51161} +{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.26521, "decode.acc_seg": 72.05555, "aux.loss_seg": 0.13442, "aux.acc_seg": 70.29416, "loss": 0.39963, "time": 0.52216} +{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.2643, "decode.acc_seg": 72.45718, "aux.loss_seg": 0.13529, "aux.acc_seg": 70.87827, "loss": 0.39959, "time": 0.52675} +{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.25788, "decode.acc_seg": 72.84701, "aux.loss_seg": 0.13349, "aux.acc_seg": 71.03319, "loss": 0.39136, "time": 0.51286} +{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.26587, "decode.acc_seg": 71.63351, "aux.loss_seg": 0.13743, "aux.acc_seg": 69.77697, "loss": 0.4033, "time": 0.51709} +{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.25347, "decode.acc_seg": 71.88428, "aux.loss_seg": 0.13177, "aux.acc_seg": 69.92566, "loss": 0.38524, "time": 0.54369} +{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.2581, "decode.acc_seg": 72.06868, "aux.loss_seg": 0.13769, "aux.acc_seg": 69.74869, "loss": 0.39579, "time": 0.52145} +{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.26165, "decode.acc_seg": 72.05584, "aux.loss_seg": 0.13433, "aux.acc_seg": 70.2927, "loss": 0.39598, "time": 0.53739} +{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.25189, "decode.acc_seg": 72.75796, "aux.loss_seg": 0.1287, "aux.acc_seg": 71.0519, "loss": 0.38059, "time": 0.51198} +{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.25531, "decode.acc_seg": 72.55237, "aux.loss_seg": 0.13368, "aux.acc_seg": 70.50147, "loss": 0.38899, "time": 0.52642} +{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.24959, "decode.acc_seg": 72.66023, "aux.loss_seg": 0.13106, "aux.acc_seg": 70.7542, "loss": 0.38065, "time": 0.51465} +{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 22404, "data_time": 0.24847, "decode.loss_seg": 0.25454, "decode.acc_seg": 71.88802, "aux.loss_seg": 0.13083, "aux.acc_seg": 70.008, "loss": 0.38537, "time": 0.7629} +{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.25522, "decode.acc_seg": 71.80696, "aux.loss_seg": 0.13536, "aux.acc_seg": 69.84587, "loss": 0.39057, "time": 0.50745} +{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.24431, "decode.acc_seg": 72.7254, "aux.loss_seg": 0.12787, "aux.acc_seg": 70.97421, "loss": 0.37218, "time": 0.50953} +{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.24737, "decode.acc_seg": 73.86479, "aux.loss_seg": 0.13235, "aux.acc_seg": 71.86502, "loss": 0.37972, "time": 0.50925} +{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.23736, "decode.acc_seg": 73.63668, "aux.loss_seg": 0.12812, "aux.acc_seg": 71.60366, "loss": 0.36548, "time": 0.51243} +{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23644, "decode.acc_seg": 71.5735, "aux.loss_seg": 0.12549, "aux.acc_seg": 69.65694, "loss": 0.36192, "time": 0.51968} +{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.25278, "decode.acc_seg": 71.64521, "aux.loss_seg": 0.1319, "aux.acc_seg": 69.72316, "loss": 0.38468, "time": 0.52887} +{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.24598, "decode.acc_seg": 72.91026, "aux.loss_seg": 0.13264, "aux.acc_seg": 70.75987, "loss": 0.37862, "time": 0.52134} +{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.22513, "decode.acc_seg": 72.13993, "aux.loss_seg": 0.11969, "aux.acc_seg": 70.27023, "loss": 0.34483, "time": 0.51843} +{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.23206, "decode.acc_seg": 73.31133, "aux.loss_seg": 0.12273, "aux.acc_seg": 71.46741, "loss": 0.3548, "time": 0.52054} +{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25947, "decode.acc_seg": 71.47813, "aux.loss_seg": 0.136, "aux.acc_seg": 69.551, "loss": 0.39547, "time": 0.52147} +{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.25512, "decode.acc_seg": 71.74933, "aux.loss_seg": 0.13696, "aux.acc_seg": 69.54909, "loss": 0.39208, "time": 0.51601} +{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 22404, "data_time": 0.00858, "decode.loss_seg": 0.24496, "decode.acc_seg": 72.58679, "aux.loss_seg": 0.1322, "aux.acc_seg": 70.40194, "loss": 0.37716, "time": 0.51451} +{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.26522, "decode.acc_seg": 73.02188, "aux.loss_seg": 0.13751, "aux.acc_seg": 70.92558, "loss": 0.40273, "time": 0.51536} +{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.2494, "decode.acc_seg": 73.30395, "aux.loss_seg": 0.12983, "aux.acc_seg": 71.46034, "loss": 0.37923, "time": 0.52128} +{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.24433, "decode.acc_seg": 72.85349, "aux.loss_seg": 0.13058, "aux.acc_seg": 70.92991, "loss": 0.37491, "time": 0.51128} +{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.24129, "decode.acc_seg": 72.00675, "aux.loss_seg": 0.12774, "aux.acc_seg": 70.28088, "loss": 0.36903, "time": 0.51813} +{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.23976, "decode.acc_seg": 72.63036, "aux.loss_seg": 0.12632, "aux.acc_seg": 70.66576, "loss": 0.36608, "time": 0.53271} +{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.25782, "decode.acc_seg": 73.91188, "aux.loss_seg": 0.13514, "aux.acc_seg": 71.84027, "loss": 0.39296, "time": 0.52256} +{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.26477, "decode.acc_seg": 73.51348, "aux.loss_seg": 0.1383, "aux.acc_seg": 71.50509, "loss": 0.40307, "time": 0.51892} +{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.24978, "decode.acc_seg": 72.41221, "aux.loss_seg": 0.13059, "aux.acc_seg": 70.57367, "loss": 0.38037, "time": 0.52603} +{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.24997, "decode.acc_seg": 70.94914, "aux.loss_seg": 0.12944, "aux.acc_seg": 69.1213, "loss": 0.3794, "time": 0.51153} +{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.24114, "decode.acc_seg": 72.62087, "aux.loss_seg": 0.12615, "aux.acc_seg": 70.75993, "loss": 0.36729, "time": 0.5177} +{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.26018, "decode.acc_seg": 71.62268, "aux.loss_seg": 0.13734, "aux.acc_seg": 69.64445, "loss": 0.39752, "time": 0.51906} +{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.2436, "decode.acc_seg": 73.35764, "aux.loss_seg": 0.12738, "aux.acc_seg": 71.43584, "loss": 0.37099, "time": 0.50915} +{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 22404, "data_time": 0.24998, "decode.loss_seg": 0.23768, "decode.acc_seg": 72.10065, "aux.loss_seg": 0.12275, "aux.acc_seg": 70.30071, "loss": 0.36043, "time": 0.75404} +{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.23962, "decode.acc_seg": 72.70617, "aux.loss_seg": 0.12922, "aux.acc_seg": 70.49598, "loss": 0.36884, "time": 0.54075} +{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.25429, "decode.acc_seg": 72.29863, "aux.loss_seg": 0.13085, "aux.acc_seg": 70.53043, "loss": 0.38514, "time": 0.52186} +{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.25429, "decode.acc_seg": 72.66511, "aux.loss_seg": 0.13325, "aux.acc_seg": 70.67893, "loss": 0.38754, "time": 0.51693} +{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.23774, "decode.acc_seg": 73.37164, "aux.loss_seg": 0.12527, "aux.acc_seg": 71.4972, "loss": 0.363, "time": 0.51528} +{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.25449, "decode.acc_seg": 72.71067, "aux.loss_seg": 0.13322, "aux.acc_seg": 70.79341, "loss": 0.38772, "time": 0.53928} +{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23573, "decode.acc_seg": 73.68643, "aux.loss_seg": 0.12733, "aux.acc_seg": 71.59683, "loss": 0.36306, "time": 0.52522} +{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.25281, "decode.acc_seg": 71.37785, "aux.loss_seg": 0.13156, "aux.acc_seg": 69.37199, "loss": 0.38438, "time": 0.51838} +{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.24274, "decode.acc_seg": 72.14402, "aux.loss_seg": 0.12745, "aux.acc_seg": 70.22783, "loss": 0.37019, "time": 0.54283} +{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.25874, "decode.acc_seg": 73.5789, "aux.loss_seg": 0.13534, "aux.acc_seg": 71.4888, "loss": 0.39407, "time": 0.54006} +{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.2495, "decode.acc_seg": 72.17747, "aux.loss_seg": 0.13077, "aux.acc_seg": 70.26497, "loss": 0.38026, "time": 0.53121} +{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.25658, "decode.acc_seg": 71.37969, "aux.loss_seg": 0.13412, "aux.acc_seg": 69.27654, "loss": 0.3907, "time": 0.50908} +{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.89536, "aux.loss_seg": 0.13027, "aux.acc_seg": 70.95532, "loss": 0.37962, "time": 0.5084} +{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.26721, "decode.acc_seg": 72.55168, "aux.loss_seg": 0.13867, "aux.acc_seg": 70.43732, "loss": 0.40588, "time": 0.5175} +{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.26175, "decode.acc_seg": 72.06661, "aux.loss_seg": 0.13913, "aux.acc_seg": 69.98586, "loss": 0.40089, "time": 0.53275} +{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.2548, "decode.acc_seg": 72.29553, "aux.loss_seg": 0.13515, "aux.acc_seg": 70.18766, "loss": 0.38995, "time": 0.53944} +{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.24037, "decode.acc_seg": 72.85863, "aux.loss_seg": 0.12681, "aux.acc_seg": 71.02442, "loss": 0.36718, "time": 0.51062} +{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.2529, "decode.acc_seg": 71.8167, "aux.loss_seg": 0.13322, "aux.acc_seg": 69.85522, "loss": 0.38612, "time": 0.5179} +{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25468, "decode.acc_seg": 71.93904, "aux.loss_seg": 0.13204, "aux.acc_seg": 70.12929, "loss": 0.38672, "time": 0.53193} +{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.25431, "decode.acc_seg": 72.97338, "aux.loss_seg": 0.13117, "aux.acc_seg": 71.27437, "loss": 0.38549, "time": 0.53562} +{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.24535, "decode.acc_seg": 72.82731, "aux.loss_seg": 0.12462, "aux.acc_seg": 71.17349, "loss": 0.36998, "time": 0.52005} +{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 22404, "data_time": 0.00837, "decode.loss_seg": 0.24227, "decode.acc_seg": 73.01267, "aux.loss_seg": 0.12911, "aux.acc_seg": 70.94331, "loss": 0.37138, "time": 0.52827} +{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.24509, "decode.acc_seg": 72.80893, "aux.loss_seg": 0.13243, "aux.acc_seg": 70.64707, "loss": 0.37752, "time": 0.50858} +{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.25613, "decode.acc_seg": 73.21277, "aux.loss_seg": 0.13579, "aux.acc_seg": 70.96249, "loss": 0.39193, "time": 0.52358} +{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.25857, "decode.acc_seg": 71.88429, "aux.loss_seg": 0.13606, "aux.acc_seg": 69.92327, "loss": 0.39463, "time": 0.51091} +{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 22404, "data_time": 0.24517, "decode.loss_seg": 0.23809, "decode.acc_seg": 74.23373, "aux.loss_seg": 0.12843, "aux.acc_seg": 72.14396, "loss": 0.36653, "time": 0.74639} +{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.23005, "decode.acc_seg": 73.68262, "aux.loss_seg": 0.12389, "aux.acc_seg": 71.67956, "loss": 0.35393, "time": 0.51476} +{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.23625, "decode.acc_seg": 73.11442, "aux.loss_seg": 0.12375, "aux.acc_seg": 71.23343, "loss": 0.36, "time": 0.52804} +{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23756, "decode.acc_seg": 74.04748, "aux.loss_seg": 0.12471, "aux.acc_seg": 72.27564, "loss": 0.36226, "time": 0.52034} +{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.24467, "decode.acc_seg": 74.08132, "aux.loss_seg": 0.13078, "aux.acc_seg": 72.16632, "loss": 0.37545, "time": 0.51841} +{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.2258, "decode.acc_seg": 73.58544, "aux.loss_seg": 0.11939, "aux.acc_seg": 71.75419, "loss": 0.34519, "time": 0.51143} +{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.24742, "decode.acc_seg": 73.85061, "aux.loss_seg": 0.13281, "aux.acc_seg": 71.70443, "loss": 0.38023, "time": 0.51502} +{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.24865, "decode.acc_seg": 72.09618, "aux.loss_seg": 0.13188, "aux.acc_seg": 69.9172, "loss": 0.38053, "time": 0.54888} +{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.24079, "decode.acc_seg": 72.69442, "aux.loss_seg": 0.12648, "aux.acc_seg": 70.74184, "loss": 0.36727, "time": 0.51843} +{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.23584, "decode.acc_seg": 73.131, "aux.loss_seg": 0.12778, "aux.acc_seg": 71.00171, "loss": 0.36362, "time": 0.513} +{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.23411, "decode.acc_seg": 73.4141, "aux.loss_seg": 0.12383, "aux.acc_seg": 71.41399, "loss": 0.35794, "time": 0.52126} +{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.25139, "decode.acc_seg": 73.54176, "aux.loss_seg": 0.1312, "aux.acc_seg": 71.67341, "loss": 0.3826, "time": 0.5108} +{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.25243, "decode.acc_seg": 71.54431, "aux.loss_seg": 0.13384, "aux.acc_seg": 69.57012, "loss": 0.38628, "time": 0.51767} +{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.23833, "decode.acc_seg": 73.16436, "aux.loss_seg": 0.12579, "aux.acc_seg": 71.33763, "loss": 0.36413, "time": 0.50973} +{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.22501, "decode.acc_seg": 72.72127, "aux.loss_seg": 0.12082, "aux.acc_seg": 70.64583, "loss": 0.34583, "time": 0.5098} +{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.26119, "decode.acc_seg": 72.7241, "aux.loss_seg": 0.13763, "aux.acc_seg": 70.76143, "loss": 0.39882, "time": 0.51577} +{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.24451, "decode.acc_seg": 72.92347, "aux.loss_seg": 0.12572, "aux.acc_seg": 70.93135, "loss": 0.37024, "time": 0.51751} +{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.2398, "decode.acc_seg": 72.50677, "aux.loss_seg": 0.12813, "aux.acc_seg": 70.53094, "loss": 0.36793, "time": 0.50985} +{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.25376, "decode.acc_seg": 71.52358, "aux.loss_seg": 0.13484, "aux.acc_seg": 69.35615, "loss": 0.3886, "time": 0.51196} +{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.23699, "decode.acc_seg": 71.99646, "aux.loss_seg": 0.12725, "aux.acc_seg": 69.90245, "loss": 0.36424, "time": 0.53241} +{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.2398, "decode.acc_seg": 73.71537, "aux.loss_seg": 0.12715, "aux.acc_seg": 71.69478, "loss": 0.36695, "time": 0.515} +{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.23454, "decode.acc_seg": 72.42103, "aux.loss_seg": 0.12205, "aux.acc_seg": 70.61548, "loss": 0.35658, "time": 0.51167} +{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.26714, "decode.acc_seg": 72.60726, "aux.loss_seg": 0.1394, "aux.acc_seg": 70.5836, "loss": 0.40654, "time": 0.53253} +{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.25121, "decode.acc_seg": 71.50664, "aux.loss_seg": 0.12988, "aux.acc_seg": 69.70325, "loss": 0.38109, "time": 0.5383} +{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.26474, "decode.acc_seg": 71.06809, "aux.loss_seg": 0.13444, "aux.acc_seg": 69.22855, "loss": 0.39918, "time": 0.5214} +{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 22404, "data_time": 0.24557, "decode.loss_seg": 0.25697, "decode.acc_seg": 71.91318, "aux.loss_seg": 0.13536, "aux.acc_seg": 69.96646, "loss": 0.39234, "time": 0.74462} +{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.23455, "decode.acc_seg": 73.30485, "aux.loss_seg": 0.12618, "aux.acc_seg": 71.17273, "loss": 0.36074, "time": 0.51323} +{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.23111, "decode.acc_seg": 73.67874, "aux.loss_seg": 0.12323, "aux.acc_seg": 71.65182, "loss": 0.35434, "time": 0.51946} +{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.24902, "decode.acc_seg": 71.9881, "aux.loss_seg": 0.13273, "aux.acc_seg": 69.83749, "loss": 0.38176, "time": 0.5176} +{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.24989, "decode.acc_seg": 74.60607, "aux.loss_seg": 0.13305, "aux.acc_seg": 72.57345, "loss": 0.38294, "time": 0.51233} +{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.24179, "decode.acc_seg": 72.83925, "aux.loss_seg": 0.12709, "aux.acc_seg": 70.93957, "loss": 0.36888, "time": 0.50943} +{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.23885, "decode.acc_seg": 72.92894, "aux.loss_seg": 0.12443, "aux.acc_seg": 71.04413, "loss": 0.36328, "time": 0.51218} +{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.2621, "decode.acc_seg": 71.92244, "aux.loss_seg": 0.13707, "aux.acc_seg": 69.91358, "loss": 0.39917, "time": 0.50836} +{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25174, "decode.acc_seg": 73.66316, "aux.loss_seg": 0.13329, "aux.acc_seg": 71.5568, "loss": 0.38503, "time": 0.51214} +{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.24118, "decode.acc_seg": 73.42887, "aux.loss_seg": 0.12622, "aux.acc_seg": 71.51319, "loss": 0.3674, "time": 0.51527} +{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.239, "decode.acc_seg": 72.10581, "aux.loss_seg": 0.12436, "aux.acc_seg": 70.33595, "loss": 0.36336, "time": 0.5136} +{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.24965, "decode.acc_seg": 72.4381, "aux.loss_seg": 0.13315, "aux.acc_seg": 70.28233, "loss": 0.3828, "time": 0.51168} +{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.24339, "decode.acc_seg": 72.84142, "aux.loss_seg": 0.12938, "aux.acc_seg": 70.81957, "loss": 0.37277, "time": 0.50908} +{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.246, "decode.acc_seg": 72.06694, "aux.loss_seg": 0.13138, "aux.acc_seg": 70.34849, "loss": 0.37738, "time": 0.50801} +{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.24526, "decode.acc_seg": 72.38552, "aux.loss_seg": 0.12888, "aux.acc_seg": 70.49455, "loss": 0.37414, "time": 0.51898} +{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.24595, "decode.acc_seg": 72.98859, "aux.loss_seg": 0.13112, "aux.acc_seg": 70.94067, "loss": 0.37707, "time": 0.52466} +{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.23791, "decode.acc_seg": 72.62656, "aux.loss_seg": 0.12713, "aux.acc_seg": 70.50978, "loss": 0.36504, "time": 0.52256} +{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.24778, "decode.acc_seg": 72.03661, "aux.loss_seg": 0.12958, "aux.acc_seg": 70.16011, "loss": 0.37736, "time": 0.52333} +{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.25185, "decode.acc_seg": 71.88121, "aux.loss_seg": 0.12983, "aux.acc_seg": 70.17924, "loss": 0.38169, "time": 0.51841} +{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.25252, "decode.acc_seg": 72.50796, "aux.loss_seg": 0.13554, "aux.acc_seg": 70.33138, "loss": 0.38806, "time": 0.53254} +{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.24542, "decode.acc_seg": 72.45091, "aux.loss_seg": 0.13013, "aux.acc_seg": 70.44854, "loss": 0.37555, "time": 0.51157} +{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.24911, "decode.acc_seg": 72.28516, "aux.loss_seg": 0.12762, "aux.acc_seg": 70.61263, "loss": 0.37673, "time": 0.52482} +{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.24512, "decode.acc_seg": 73.547, "aux.loss_seg": 0.12774, "aux.acc_seg": 71.70687, "loss": 0.37286, "time": 0.52381} +{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.2601, "decode.acc_seg": 73.10235, "aux.loss_seg": 0.13865, "aux.acc_seg": 70.87432, "loss": 0.39875, "time": 0.51407} +{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.25057, "decode.acc_seg": 73.46691, "aux.loss_seg": 0.13324, "aux.acc_seg": 71.49335, "loss": 0.38382, "time": 0.51013} +{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.24527, "decode.acc_seg": 73.26002, "aux.loss_seg": 0.13017, "aux.acc_seg": 71.21828, "loss": 0.37543, "time": 0.52584} +{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 22404, "data_time": 0.24618, "decode.loss_seg": 0.23603, "decode.acc_seg": 74.1214, "aux.loss_seg": 0.1265, "aux.acc_seg": 72.11106, "loss": 0.36253, "time": 0.74578} +{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23372, "decode.acc_seg": 72.60526, "aux.loss_seg": 0.12835, "aux.acc_seg": 70.33838, "loss": 0.36207, "time": 0.5073} +{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.2444, "decode.acc_seg": 73.12505, "aux.loss_seg": 0.12937, "aux.acc_seg": 71.18111, "loss": 0.37377, "time": 0.51318} +{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.23644, "decode.acc_seg": 72.14373, "aux.loss_seg": 0.12576, "aux.acc_seg": 70.16768, "loss": 0.3622, "time": 0.50964} +{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.23195, "decode.acc_seg": 73.55855, "aux.loss_seg": 0.12416, "aux.acc_seg": 71.72892, "loss": 0.35611, "time": 0.52906} +{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.25223, "decode.acc_seg": 72.90661, "aux.loss_seg": 0.13196, "aux.acc_seg": 70.87254, "loss": 0.38419, "time": 0.51069} +{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.23392, "decode.acc_seg": 73.01099, "aux.loss_seg": 0.12521, "aux.acc_seg": 71.16462, "loss": 0.35914, "time": 0.5204} +{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.22975, "decode.acc_seg": 71.26639, "aux.loss_seg": 0.12294, "aux.acc_seg": 69.31422, "loss": 0.35269, "time": 0.51601} +{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.24181, "decode.acc_seg": 72.7244, "aux.loss_seg": 0.12901, "aux.acc_seg": 70.58455, "loss": 0.37082, "time": 0.51145} +{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.24126, "decode.acc_seg": 73.70057, "aux.loss_seg": 0.13016, "aux.acc_seg": 71.66028, "loss": 0.37142, "time": 0.50884} +{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.23219, "decode.acc_seg": 71.91979, "aux.loss_seg": 0.12244, "aux.acc_seg": 70.10888, "loss": 0.35463, "time": 0.50611} +{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.23445, "decode.acc_seg": 73.33444, "aux.loss_seg": 0.12386, "aux.acc_seg": 71.33032, "loss": 0.35831, "time": 0.51105} +{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2503, "decode.acc_seg": 71.82075, "aux.loss_seg": 0.13203, "aux.acc_seg": 69.90766, "loss": 0.38233, "time": 0.50844} +{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.24128, "decode.acc_seg": 73.20093, "aux.loss_seg": 0.12789, "aux.acc_seg": 71.36238, "loss": 0.36917, "time": 0.50869} +{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.24671, "decode.acc_seg": 73.32704, "aux.loss_seg": 0.12858, "aux.acc_seg": 71.47206, "loss": 0.37529, "time": 0.50999} +{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.24352, "decode.acc_seg": 73.58963, "aux.loss_seg": 0.12647, "aux.acc_seg": 71.78338, "loss": 0.36999, "time": 0.51272} +{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.23324, "decode.acc_seg": 73.16644, "aux.loss_seg": 0.1222, "aux.acc_seg": 71.48091, "loss": 0.35543, "time": 0.52192} +{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.25194, "decode.acc_seg": 73.45572, "aux.loss_seg": 0.1333, "aux.acc_seg": 71.35931, "loss": 0.38524, "time": 0.5271} +{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.25107, "decode.acc_seg": 73.4298, "aux.loss_seg": 0.13315, "aux.acc_seg": 71.29344, "loss": 0.38422, "time": 0.53305} +{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.22758, "decode.acc_seg": 73.6188, "aux.loss_seg": 0.1221, "aux.acc_seg": 71.57838, "loss": 0.34968, "time": 0.54562} +{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.24356, "decode.acc_seg": 72.85422, "aux.loss_seg": 0.12646, "aux.acc_seg": 70.99454, "loss": 0.37002, "time": 0.5092} +{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.25355, "decode.acc_seg": 72.68777, "aux.loss_seg": 0.13161, "aux.acc_seg": 70.6962, "loss": 0.38516, "time": 0.52254} +{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.23915, "decode.acc_seg": 73.61665, "aux.loss_seg": 0.12254, "aux.acc_seg": 71.85755, "loss": 0.36169, "time": 0.52515} +{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.24703, "decode.acc_seg": 72.68303, "aux.loss_seg": 0.13028, "aux.acc_seg": 70.88227, "loss": 0.37731, "time": 0.52707} +{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.26257, "decode.acc_seg": 73.16918, "aux.loss_seg": 0.13533, "aux.acc_seg": 71.16776, "loss": 0.3979, "time": 0.53944} +{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 22404, "data_time": 0.2444, "decode.loss_seg": 0.24345, "decode.acc_seg": 73.78249, "aux.loss_seg": 0.13001, "aux.acc_seg": 71.79636, "loss": 0.37347, "time": 0.74352} +{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.23722, "decode.acc_seg": 74.09268, "aux.loss_seg": 0.12832, "aux.acc_seg": 71.92604, "loss": 0.36554, "time": 0.51112} +{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23175, "decode.acc_seg": 72.78237, "aux.loss_seg": 0.12164, "aux.acc_seg": 71.00396, "loss": 0.35339, "time": 0.50636} +{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.24871, "decode.acc_seg": 72.38471, "aux.loss_seg": 0.13202, "aux.acc_seg": 70.29764, "loss": 0.38073, "time": 0.50893} +{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.24676, "decode.acc_seg": 72.93272, "aux.loss_seg": 0.12969, "aux.acc_seg": 71.05582, "loss": 0.37646, "time": 0.51694} +{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.24213, "decode.acc_seg": 72.81534, "aux.loss_seg": 0.13137, "aux.acc_seg": 70.779, "loss": 0.37351, "time": 0.51719} +{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.24905, "decode.acc_seg": 73.43313, "aux.loss_seg": 0.13199, "aux.acc_seg": 71.45046, "loss": 0.38104, "time": 0.51867} +{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.23612, "decode.acc_seg": 72.29641, "aux.loss_seg": 0.12413, "aux.acc_seg": 70.64024, "loss": 0.36025, "time": 0.51266} +{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.25096, "decode.acc_seg": 72.67236, "aux.loss_seg": 0.13191, "aux.acc_seg": 70.57021, "loss": 0.38286, "time": 0.52263} +{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.23732, "decode.acc_seg": 72.06042, "aux.loss_seg": 0.12671, "aux.acc_seg": 70.16796, "loss": 0.36404, "time": 0.53122} +{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.2371, "decode.acc_seg": 73.86409, "aux.loss_seg": 0.12637, "aux.acc_seg": 71.89182, "loss": 0.36347, "time": 0.52357} +{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23622, "decode.acc_seg": 73.15545, "aux.loss_seg": 0.12438, "aux.acc_seg": 71.28721, "loss": 0.3606, "time": 0.50945} +{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.23745, "decode.acc_seg": 70.86347, "aux.loss_seg": 0.12671, "aux.acc_seg": 68.91091, "loss": 0.36416, "time": 0.51575} +{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.23446, "decode.acc_seg": 73.16811, "aux.loss_seg": 0.12225, "aux.acc_seg": 71.5191, "loss": 0.35671, "time": 0.53235} +{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.24117, "decode.acc_seg": 72.30065, "aux.loss_seg": 0.13015, "aux.acc_seg": 70.20239, "loss": 0.37133, "time": 0.51213} +{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.23878, "decode.acc_seg": 72.54228, "aux.loss_seg": 0.12458, "aux.acc_seg": 70.75671, "loss": 0.36336, "time": 0.52709} +{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.23529, "decode.acc_seg": 72.13594, "aux.loss_seg": 0.12204, "aux.acc_seg": 70.55095, "loss": 0.35733, "time": 0.52513} +{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.24437, "decode.acc_seg": 73.77335, "aux.loss_seg": 0.12641, "aux.acc_seg": 72.08068, "loss": 0.37078, "time": 0.50804} +{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.2441, "decode.acc_seg": 72.86187, "aux.loss_seg": 0.12978, "aux.acc_seg": 70.91893, "loss": 0.37389, "time": 0.50567} +{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.23383, "decode.acc_seg": 73.24369, "aux.loss_seg": 0.12314, "aux.acc_seg": 71.28228, "loss": 0.35698, "time": 0.50733} +{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.23516, "decode.acc_seg": 72.85721, "aux.loss_seg": 0.12343, "aux.acc_seg": 71.04212, "loss": 0.35859, "time": 0.50847} +{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.23241, "decode.acc_seg": 73.16332, "aux.loss_seg": 0.1245, "aux.acc_seg": 71.24111, "loss": 0.35691, "time": 0.51988} +{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.23671, "decode.acc_seg": 73.37723, "aux.loss_seg": 0.12874, "aux.acc_seg": 71.39227, "loss": 0.36546, "time": 0.51155} +{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.24155, "decode.acc_seg": 73.73796, "aux.loss_seg": 0.12882, "aux.acc_seg": 71.67049, "loss": 0.37038, "time": 0.51288} +{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.24634, "decode.acc_seg": 74.10426, "aux.loss_seg": 0.13086, "aux.acc_seg": 72.19082, "loss": 0.37721, "time": 0.50847} +{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 22404, "data_time": 0.24794, "decode.loss_seg": 0.22745, "decode.acc_seg": 72.62104, "aux.loss_seg": 0.11954, "aux.acc_seg": 70.72387, "loss": 0.34699, "time": 0.7521} +{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.24297, "decode.acc_seg": 73.15858, "aux.loss_seg": 0.12727, "aux.acc_seg": 71.27, "loss": 0.37024, "time": 0.51279} +{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.23532, "decode.acc_seg": 73.28763, "aux.loss_seg": 0.12557, "aux.acc_seg": 71.27373, "loss": 0.36089, "time": 0.52204} +{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.20714, "decode.acc_seg": 73.71862, "aux.loss_seg": 0.1122, "aux.acc_seg": 71.84682, "loss": 0.31934, "time": 0.5153} +{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.22664, "decode.acc_seg": 73.62081, "aux.loss_seg": 0.12309, "aux.acc_seg": 71.77234, "loss": 0.34973, "time": 0.51697} +{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.23116, "decode.acc_seg": 72.35747, "aux.loss_seg": 0.12592, "aux.acc_seg": 70.16725, "loss": 0.35708, "time": 0.51262} +{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.233, "decode.acc_seg": 72.62341, "aux.loss_seg": 0.12157, "aux.acc_seg": 70.96877, "loss": 0.35457, "time": 0.51147} +{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.24679, "decode.acc_seg": 72.68539, "aux.loss_seg": 0.13109, "aux.acc_seg": 70.56725, "loss": 0.37787, "time": 0.51082} +{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.23033, "decode.acc_seg": 72.66699, "aux.loss_seg": 0.12067, "aux.acc_seg": 70.94018, "loss": 0.351, "time": 0.54265} +{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.22711, "decode.acc_seg": 74.11447, "aux.loss_seg": 0.12253, "aux.acc_seg": 72.05659, "loss": 0.34965, "time": 0.53967} +{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.24399, "decode.acc_seg": 73.02462, "aux.loss_seg": 0.12976, "aux.acc_seg": 71.0618, "loss": 0.37375, "time": 0.5199} +{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.24563, "decode.acc_seg": 73.86689, "aux.loss_seg": 0.1325, "aux.acc_seg": 71.6641, "loss": 0.37813, "time": 0.51176} +{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.24548, "decode.acc_seg": 73.46425, "aux.loss_seg": 0.12842, "aux.acc_seg": 71.71189, "loss": 0.3739, "time": 0.51548} +{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.25611, "decode.acc_seg": 73.38411, "aux.loss_seg": 0.13423, "aux.acc_seg": 71.57484, "loss": 0.39034, "time": 0.5147} +{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.23965, "decode.acc_seg": 72.87028, "aux.loss_seg": 0.12727, "aux.acc_seg": 70.84171, "loss": 0.36693, "time": 0.51616} +{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.23717, "decode.acc_seg": 72.66388, "aux.loss_seg": 0.12429, "aux.acc_seg": 70.92687, "loss": 0.36146, "time": 0.50686} +{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.24304, "decode.acc_seg": 74.7916, "aux.loss_seg": 0.12857, "aux.acc_seg": 72.85895, "loss": 0.37161, "time": 0.50939} +{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.24318, "decode.acc_seg": 73.00099, "aux.loss_seg": 0.13171, "aux.acc_seg": 70.73424, "loss": 0.37489, "time": 0.5082} +{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.24352, "decode.acc_seg": 72.16312, "aux.loss_seg": 0.12795, "aux.acc_seg": 70.24025, "loss": 0.37147, "time": 0.51003} +{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.2247, "decode.acc_seg": 72.67067, "aux.loss_seg": 0.12159, "aux.acc_seg": 70.74551, "loss": 0.34629, "time": 0.51908} +{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.25112, "decode.acc_seg": 73.72491, "aux.loss_seg": 0.131, "aux.acc_seg": 71.98803, "loss": 0.38212, "time": 0.52114} +{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23247, "decode.acc_seg": 74.28067, "aux.loss_seg": 0.12297, "aux.acc_seg": 72.35776, "loss": 0.35544, "time": 0.51388} +{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.25211, "decode.acc_seg": 72.04008, "aux.loss_seg": 0.13034, "aux.acc_seg": 70.05441, "loss": 0.38245, "time": 0.51751} +{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25063, "decode.acc_seg": 71.48185, "aux.loss_seg": 0.13248, "aux.acc_seg": 69.37452, "loss": 0.38311, "time": 0.5167} +{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.24038, "decode.acc_seg": 73.33602, "aux.loss_seg": 0.12884, "aux.acc_seg": 71.21707, "loss": 0.36922, "time": 0.51378} +{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 22404, "data_time": 0.25467, "decode.loss_seg": 0.23479, "decode.acc_seg": 72.32829, "aux.loss_seg": 0.12563, "aux.acc_seg": 70.31976, "loss": 0.36042, "time": 0.75975} +{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.23309, "decode.acc_seg": 73.52457, "aux.loss_seg": 0.1263, "aux.acc_seg": 71.5089, "loss": 0.35939, "time": 0.51416} +{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.24564, "decode.acc_seg": 72.00199, "aux.loss_seg": 0.1278, "aux.acc_seg": 70.17359, "loss": 0.37344, "time": 0.51067} +{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.22086, "decode.acc_seg": 73.72669, "aux.loss_seg": 0.11789, "aux.acc_seg": 71.94744, "loss": 0.33875, "time": 0.51036} +{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23248, "decode.acc_seg": 72.76574, "aux.loss_seg": 0.12449, "aux.acc_seg": 70.58256, "loss": 0.35697, "time": 0.52133} +{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.2367, "decode.acc_seg": 73.03253, "aux.loss_seg": 0.12242, "aux.acc_seg": 71.28568, "loss": 0.35912, "time": 0.51353} +{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.22795, "decode.acc_seg": 71.89429, "aux.loss_seg": 0.12047, "aux.acc_seg": 69.8693, "loss": 0.34841, "time": 0.51361} +{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.23732, "decode.acc_seg": 74.05188, "aux.loss_seg": 0.12796, "aux.acc_seg": 71.92443, "loss": 0.36528, "time": 0.51141} +{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.22106, "decode.acc_seg": 74.3969, "aux.loss_seg": 0.11659, "aux.acc_seg": 72.63496, "loss": 0.33765, "time": 0.51275} +{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.24218, "decode.acc_seg": 72.6114, "aux.loss_seg": 0.12651, "aux.acc_seg": 70.82666, "loss": 0.36869, "time": 0.51104} +{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.23823, "decode.acc_seg": 73.5192, "aux.loss_seg": 0.12887, "aux.acc_seg": 71.26589, "loss": 0.3671, "time": 0.51218} +{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.23979, "decode.acc_seg": 72.84149, "aux.loss_seg": 0.12693, "aux.acc_seg": 71.13697, "loss": 0.36673, "time": 0.51717} +{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.22782, "decode.acc_seg": 73.38339, "aux.loss_seg": 0.12219, "aux.acc_seg": 71.44302, "loss": 0.35001, "time": 0.51991} +{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25038, "decode.acc_seg": 71.41754, "aux.loss_seg": 0.1293, "aux.acc_seg": 69.67558, "loss": 0.37968, "time": 0.52933} +{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.23605, "decode.acc_seg": 73.21058, "aux.loss_seg": 0.12437, "aux.acc_seg": 71.38389, "loss": 0.36042, "time": 0.5307} +{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.2486, "decode.acc_seg": 74.19822, "aux.loss_seg": 0.13361, "aux.acc_seg": 71.9601, "loss": 0.38221, "time": 0.51026} +{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.25984, "decode.acc_seg": 72.11577, "aux.loss_seg": 0.13732, "aux.acc_seg": 69.96818, "loss": 0.39716, "time": 0.51315} +{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.22746, "decode.acc_seg": 72.68422, "aux.loss_seg": 0.12073, "aux.acc_seg": 70.80102, "loss": 0.34819, "time": 0.51183} +{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.24353, "decode.acc_seg": 72.35065, "aux.loss_seg": 0.13023, "aux.acc_seg": 70.22303, "loss": 0.37376, "time": 0.51231} +{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.25533, "decode.acc_seg": 72.14826, "aux.loss_seg": 0.13185, "aux.acc_seg": 70.39146, "loss": 0.38718, "time": 0.5126} +{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.2341, "decode.acc_seg": 73.44024, "aux.loss_seg": 0.12415, "aux.acc_seg": 71.5013, "loss": 0.35825, "time": 0.51503} +{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.23492, "decode.acc_seg": 74.18005, "aux.loss_seg": 0.12664, "aux.acc_seg": 72.07677, "loss": 0.36156, "time": 0.51694} +{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.25136, "decode.acc_seg": 73.00985, "aux.loss_seg": 0.12971, "aux.acc_seg": 71.41427, "loss": 0.38107, "time": 0.52687} +{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.23806, "decode.acc_seg": 73.59029, "aux.loss_seg": 0.12734, "aux.acc_seg": 71.68949, "loss": 0.3654, "time": 0.51992} +{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.24693, "decode.acc_seg": 72.61685, "aux.loss_seg": 0.12918, "aux.acc_seg": 70.85621, "loss": 0.37611, "time": 0.51542} +{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.23092, "decode.acc_seg": 72.25783, "aux.loss_seg": 0.12168, "aux.acc_seg": 70.33939, "loss": 0.3526, "time": 0.51279} +{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 22404, "data_time": 0.24703, "decode.loss_seg": 0.24495, "decode.acc_seg": 72.47162, "aux.loss_seg": 0.1303, "aux.acc_seg": 70.3759, "loss": 0.37525, "time": 0.75574} +{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.22783, "decode.acc_seg": 73.58199, "aux.loss_seg": 0.12363, "aux.acc_seg": 71.51258, "loss": 0.35146, "time": 0.5189} +{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.22195, "decode.acc_seg": 72.70542, "aux.loss_seg": 0.11974, "aux.acc_seg": 70.83203, "loss": 0.34169, "time": 0.51557} +{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.23442, "decode.acc_seg": 73.42195, "aux.loss_seg": 0.12482, "aux.acc_seg": 71.57142, "loss": 0.35923, "time": 0.52502} +{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.22547, "decode.acc_seg": 73.35407, "aux.loss_seg": 0.11896, "aux.acc_seg": 71.51355, "loss": 0.34443, "time": 0.51743} +{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.22829, "decode.acc_seg": 72.97534, "aux.loss_seg": 0.12164, "aux.acc_seg": 71.11599, "loss": 0.34993, "time": 0.51517} +{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.23417, "decode.acc_seg": 73.86014, "aux.loss_seg": 0.12574, "aux.acc_seg": 71.84428, "loss": 0.35991, "time": 0.51753} +{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.22446, "decode.acc_seg": 72.21812, "aux.loss_seg": 0.12158, "aux.acc_seg": 70.32041, "loss": 0.34604, "time": 0.51584} +{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.22004, "decode.acc_seg": 73.96975, "aux.loss_seg": 0.1195, "aux.acc_seg": 71.80763, "loss": 0.33954, "time": 0.52937} +{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.23082, "decode.acc_seg": 73.97749, "aux.loss_seg": 0.12376, "aux.acc_seg": 71.9817, "loss": 0.35458, "time": 0.53132} +{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.2233, "decode.acc_seg": 73.00176, "aux.loss_seg": 0.11948, "aux.acc_seg": 71.22985, "loss": 0.34278, "time": 0.51108} +{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23568, "decode.acc_seg": 73.73629, "aux.loss_seg": 0.13028, "aux.acc_seg": 71.55085, "loss": 0.36596, "time": 0.51402} +{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.23398, "decode.acc_seg": 72.78856, "aux.loss_seg": 0.12267, "aux.acc_seg": 70.93351, "loss": 0.35665, "time": 0.52406} +{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.24084, "decode.acc_seg": 72.61857, "aux.loss_seg": 0.12652, "aux.acc_seg": 70.64211, "loss": 0.36737, "time": 0.52191} +{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.23013, "decode.acc_seg": 72.90924, "aux.loss_seg": 0.12146, "aux.acc_seg": 71.09264, "loss": 0.35159, "time": 0.52214} +{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.23026, "decode.acc_seg": 72.01762, "aux.loss_seg": 0.12116, "aux.acc_seg": 70.09458, "loss": 0.35141, "time": 0.51926} +{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.24598, "decode.acc_seg": 73.77847, "aux.loss_seg": 0.12667, "aux.acc_seg": 71.9405, "loss": 0.37264, "time": 0.51447} +{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23153, "decode.acc_seg": 71.19623, "aux.loss_seg": 0.12189, "aux.acc_seg": 69.37873, "loss": 0.35342, "time": 0.52679} +{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.23077, "decode.acc_seg": 74.27547, "aux.loss_seg": 0.12355, "aux.acc_seg": 72.27886, "loss": 0.35431, "time": 0.51289} +{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.23426, "decode.acc_seg": 73.38902, "aux.loss_seg": 0.12515, "aux.acc_seg": 71.38855, "loss": 0.35942, "time": 0.53543} +{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.22351, "decode.acc_seg": 71.65288, "aux.loss_seg": 0.11832, "aux.acc_seg": 69.88359, "loss": 0.34183, "time": 0.52851} +{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.22928, "decode.acc_seg": 72.93186, "aux.loss_seg": 0.12456, "aux.acc_seg": 70.72996, "loss": 0.35385, "time": 0.52663} +{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.23122, "decode.acc_seg": 74.20107, "aux.loss_seg": 0.12248, "aux.acc_seg": 72.31746, "loss": 0.3537, "time": 0.54491} +{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.23215, "decode.acc_seg": 72.77906, "aux.loss_seg": 0.12672, "aux.acc_seg": 70.80673, "loss": 0.35887, "time": 0.51887} +{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.22086, "decode.acc_seg": 73.55574, "aux.loss_seg": 0.12141, "aux.acc_seg": 71.4701, "loss": 0.34227, "time": 0.52192} +{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 22404, "data_time": 0.24923, "decode.loss_seg": 0.24054, "decode.acc_seg": 74.88921, "aux.loss_seg": 0.12812, "aux.acc_seg": 72.87744, "loss": 0.36866, "time": 0.7583} +{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.22654, "decode.acc_seg": 74.86707, "aux.loss_seg": 0.12199, "aux.acc_seg": 72.90084, "loss": 0.34853, "time": 0.5285} +{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.22144, "decode.acc_seg": 73.3397, "aux.loss_seg": 0.1203, "aux.acc_seg": 71.30096, "loss": 0.34174, "time": 0.52433} +{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.23215, "decode.acc_seg": 73.70841, "aux.loss_seg": 0.12144, "aux.acc_seg": 71.77064, "loss": 0.35359, "time": 0.53726} +{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.23872, "decode.acc_seg": 74.56523, "aux.loss_seg": 0.1284, "aux.acc_seg": 72.54987, "loss": 0.36711, "time": 0.52596} +{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.21603, "decode.acc_seg": 72.96465, "aux.loss_seg": 0.11803, "aux.acc_seg": 70.85909, "loss": 0.33406, "time": 0.52527} +{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.21562, "decode.acc_seg": 73.12957, "aux.loss_seg": 0.117, "aux.acc_seg": 71.0977, "loss": 0.33262, "time": 0.54166} +{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.23506, "decode.acc_seg": 71.91294, "aux.loss_seg": 0.12378, "aux.acc_seg": 70.16283, "loss": 0.35885, "time": 0.52471} +{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4623, "mAcc": 0.5864, "aAcc": 0.8163, "IoU.wall": 0.7529, "IoU.building": 0.8085, "IoU.sky": 0.9375, "IoU.floor": 0.8007, "IoU.tree": 0.7326, "IoU.ceiling": 0.8296, "IoU.road": 0.8221, "IoU.bed ": 0.8732, "IoU.windowpane": 0.6029, "IoU.grass": 0.6671, "IoU.cabinet": 0.572, "IoU.sidewalk": 0.64, "IoU.person": 0.7703, "IoU.earth": 0.3634, "IoU.door": 0.4309, "IoU.table": 0.5321, "IoU.mountain": 0.564, "IoU.plant": 0.5124, "IoU.curtain": 0.7285, "IoU.chair": 0.5314, "IoU.car": 0.8268, "IoU.water": 0.5008, "IoU.painting": 0.6989, "IoU.sofa": 0.5976, "IoU.shelf": 0.4338, "IoU.house": 0.4273, "IoU.sea": 0.4835, "IoU.mirror": 0.6355, "IoU.rug": 0.55, "IoU.field": 0.2669, "IoU.armchair": 0.3648, "IoU.seat": 0.632, "IoU.fence": 0.4696, "IoU.desk": 0.4603, "IoU.rock": 0.4003, "IoU.wardrobe": 0.4676, "IoU.lamp": 0.5862, "IoU.bathtub": 0.7331, "IoU.railing": 0.3468, "IoU.cushion": 0.5216, "IoU.base": 0.3329, "IoU.box": 0.2558, "IoU.column": 0.452, "IoU.signboard": 0.357, "IoU.chest of drawers": 0.3888, "IoU.counter": 0.3338, "IoU.sand": 0.54, "IoU.sink": 0.6764, "IoU.skyscraper": 0.512, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7031, "IoU.grandstand": 0.3938, "IoU.path": 0.1837, "IoU.stairs": 0.3199, "IoU.runway": 0.6912, "IoU.case": 0.4749, "IoU.pool table": 0.9066, "IoU.pillow": 0.5275, "IoU.screen door": 0.5456, "IoU.stairway": 0.3748, "IoU.river": 0.1056, "IoU.bridge": 0.6858, "IoU.bookcase": 0.4307, "IoU.blind": NaN, "IoU.coffee table": 0.4947, "IoU.toilet": 0.8022, "IoU.flower": 0.404, "IoU.book": 0.4363, "IoU.hill": 0.0339, "IoU.bench": 0.5397, "IoU.countertop": 0.5116, "IoU.stove": 0.6757, "IoU.palm": 0.4729, "IoU.kitchen island": 0.3108, "IoU.computer": 0.7053, "IoU.swivel chair": 0.4133, "IoU.boat": 0.3702, "IoU.bar": 0.2604, "IoU.arcade machine": 0.4475, "IoU.hovel": 0.2489, "IoU.bus": 0.8711, "IoU.towel": 0.5508, "IoU.light": 0.5038, "IoU.truck": 0.2477, "IoU.tower": 0.0726, "IoU.chandelier": 0.6394, "IoU.awning": 0.2421, "IoU.streetlight": 0.2088, "IoU.booth": 0.5398, "IoU.television receiver": NaN, "IoU.airplane": 0.5595, "IoU.dirt track": 0.1176, "IoU.apparel": 0.2567, "IoU.pole": 0.1587, "IoU.land": 0.0455, "IoU.bannister": 0.1283, "IoU.escalator": 0.4658, "IoU.ottoman": 0.326, "IoU.bottle": NaN, "IoU.buffet": 0.4616, "IoU.poster": 0.3568, "IoU.stage": 0.1327, "IoU.van": 0.3896, "IoU.ship": 0.5301, "IoU.fountain": 0.2642, "IoU.conveyer belt": 0.7201, "IoU.canopy": 0.2376, "IoU.washer": 0.7518, "IoU.plaything": 0.2484, "IoU.swimming pool": 0.6002, "IoU.stool": 0.3962, "IoU.barrel": 0.5284, "IoU.basket": 0.3048, "IoU.waterfall": 0.589, "IoU.tent": 0.6505, "IoU.bag": 0.1067, "IoU.minibike": 0.7271, "IoU.cradle": NaN, "IoU.oven": 0.2729, "IoU.ball": 0.5028, "IoU.food": 0.4255, "IoU.step": 0.143, "IoU.tank": 0.5403, "IoU.trade name": 0.1811, "IoU.microwave": 0.6907, "IoU.pot": 0.5268, "IoU.animal": NaN, "IoU.bicycle": 0.5005, "IoU.lake": 0.5159, "IoU.dishwasher": 0.4179, "IoU.screen": 0.659, "IoU.blanket": 0.1385, "IoU.sculpture": 0.4973, "IoU.hood": 0.582, "IoU.sconce": 0.3965, "IoU.vase": 0.322, "IoU.traffic light": 0.2405, "IoU.tray": 0.0552, "IoU.ashcan": 0.3391, "IoU.fan": 0.5462, "IoU.pier": 0.3542, "IoU.crt screen": 0.0467, "IoU.plate": 0.5235, "IoU.monitor": 0.0736, "IoU.bulletin board": 0.3561, "IoU.shower": 0.011, "IoU.radiator": 0.5968, "IoU.glass": 0.1124, "IoU.clock": 0.3256, "IoU.flag": 0.5479, "Acc.wall": 0.8734, "Acc.building": 0.9257, "Acc.sky": 0.9734, "Acc.floor": 0.8903, "Acc.tree": 0.8559, "Acc.ceiling": 0.9011, "Acc.road": 0.902, "Acc.bed ": 0.9455, "Acc.windowpane": 0.7648, "Acc.grass": 0.7807, "Acc.cabinet": 0.6908, "Acc.sidewalk": 0.791, "Acc.person": 0.9006, "Acc.earth": 0.5565, "Acc.door": 0.5408, "Acc.table": 0.7204, "Acc.mountain": 0.7737, "Acc.plant": 0.643, "Acc.curtain": 0.8363, "Acc.chair": 0.6661, "Acc.car": 0.9087, "Acc.water": 0.6685, "Acc.painting": 0.8405, "Acc.sofa": 0.8197, "Acc.shelf": 0.6039, "Acc.house": 0.5502, "Acc.sea": 0.695, "Acc.mirror": 0.7618, "Acc.rug": 0.6364, "Acc.field": 0.4025, "Acc.armchair": 0.5258, "Acc.seat": 0.7969, "Acc.fence": 0.575, "Acc.desk": 0.5908, "Acc.rock": 0.6119, "Acc.wardrobe": 0.5728, "Acc.lamp": 0.7009, "Acc.bathtub": 0.8123, "Acc.railing": 0.4923, "Acc.cushion": 0.7111, "Acc.base": 0.5038, "Acc.box": 0.3268, "Acc.column": 0.5982, "Acc.signboard": 0.5033, "Acc.chest of drawers": 0.5879, "Acc.counter": 0.4387, "Acc.sand": 0.6517, "Acc.sink": 0.7798, "Acc.skyscraper": 0.6156, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8438, "Acc.grandstand": 0.6786, "Acc.path": 0.2423, "Acc.stairs": 0.4225, "Acc.runway": 0.9659, "Acc.case": 0.6483, "Acc.pool table": 0.9544, "Acc.pillow": 0.6277, "Acc.screen door": 0.5825, "Acc.stairway": 0.4914, "Acc.river": 0.2174, "Acc.bridge": 0.7804, "Acc.bookcase": 0.5394, "Acc.blind": NaN, "Acc.coffee table": 0.7587, "Acc.toilet": 0.8918, "Acc.flower": 0.5793, "Acc.book": 0.617, "Acc.hill": 0.0511, "Acc.bench": 0.6217, "Acc.countertop": 0.6838, "Acc.stove": 0.7773, "Acc.palm": 0.6845, "Acc.kitchen island": 0.856, "Acc.computer": 0.8363, "Acc.swivel chair": 0.5763, "Acc.boat": 0.448, "Acc.bar": 0.3264, "Acc.arcade machine": 0.474, "Acc.hovel": 0.2804, "Acc.bus": 0.9536, "Acc.towel": 0.7511, "Acc.light": 0.5634, "Acc.truck": 0.3342, "Acc.tower": 0.1233, "Acc.chandelier": 0.8196, "Acc.awning": 0.3055, "Acc.streetlight": 0.2827, "Acc.booth": 0.626, "Acc.television receiver": NaN, "Acc.airplane": 0.7097, "Acc.dirt track": 0.1746, "Acc.apparel": 0.4598, "Acc.pole": 0.2111, "Acc.land": 0.0721, "Acc.bannister": 0.1744, "Acc.escalator": 0.5754, "Acc.ottoman": 0.3838, "Acc.bottle": NaN, "Acc.buffet": 0.5379, "Acc.poster": 0.4795, "Acc.stage": 0.2394, "Acc.van": 0.5291, "Acc.ship": 0.8766, "Acc.fountain": 0.267, "Acc.conveyer belt": 0.838, "Acc.canopy": 0.3871, "Acc.washer": 0.7721, "Acc.plaything": 0.3717, "Acc.swimming pool": 0.8462, "Acc.stool": 0.4877, "Acc.barrel": 0.6427, "Acc.basket": 0.4313, "Acc.waterfall": 0.6962, "Acc.tent": 0.99, "Acc.bag": 0.1461, "Acc.minibike": 0.8556, "Acc.cradle": NaN, "Acc.oven": 0.4581, "Acc.ball": 0.6561, "Acc.food": 0.4975, "Acc.step": 0.1619, "Acc.tank": 0.6396, "Acc.trade name": 0.2046, "Acc.microwave": 0.8133, "Acc.pot": 0.5871, "Acc.animal": NaN, "Acc.bicycle": 0.7757, "Acc.lake": 0.5164, "Acc.dishwasher": 0.6484, "Acc.screen": 0.8809, "Acc.blanket": 0.1591, "Acc.sculpture": 0.7951, "Acc.hood": 0.6551, "Acc.sconce": 0.5007, "Acc.vase": 0.4798, "Acc.traffic light": 0.3248, "Acc.tray": 0.1137, "Acc.ashcan": 0.4543, "Acc.fan": 0.6944, "Acc.pier": 0.5053, "Acc.crt screen": 0.113, "Acc.plate": 0.7098, "Acc.monitor": 0.0801, "Acc.bulletin board": 0.512, "Acc.shower": 0.0945, "Acc.radiator": 0.6743, "Acc.glass": 0.1222, "Acc.clock": 0.4043, "Acc.flag": 0.6177} +{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 22404, "data_time": 1.60028, "decode.loss_seg": 0.24652, "decode.acc_seg": 73.61809, "aux.loss_seg": 0.1356, "aux.acc_seg": 71.27849, "loss": 0.38212, "time": 2.11198} +{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.23715, "decode.acc_seg": 73.14206, "aux.loss_seg": 0.12624, "aux.acc_seg": 71.1184, "loss": 0.36339, "time": 0.51925} +{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.24159, "decode.acc_seg": 72.0151, "aux.loss_seg": 0.12865, "aux.acc_seg": 70.07481, "loss": 0.37024, "time": 0.51113} +{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.25002, "decode.acc_seg": 74.35085, "aux.loss_seg": 0.12922, "aux.acc_seg": 72.61133, "loss": 0.37924, "time": 0.51244} +{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.24003, "decode.acc_seg": 72.72836, "aux.loss_seg": 0.12748, "aux.acc_seg": 70.66462, "loss": 0.36751, "time": 0.52941} +{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.24064, "decode.acc_seg": 72.4314, "aux.loss_seg": 0.12838, "aux.acc_seg": 70.4214, "loss": 0.36902, "time": 0.53709} +{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.23088, "decode.acc_seg": 73.1848, "aux.loss_seg": 0.12142, "aux.acc_seg": 71.4737, "loss": 0.3523, "time": 0.51287} +{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.2285, "decode.acc_seg": 72.79454, "aux.loss_seg": 0.12284, "aux.acc_seg": 70.68765, "loss": 0.35134, "time": 0.51991} +{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 22404, "data_time": 0.00627, "decode.loss_seg": 0.23439, "decode.acc_seg": 73.95632, "aux.loss_seg": 0.12719, "aux.acc_seg": 71.83923, "loss": 0.36158, "time": 0.51488} +{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.21517, "decode.acc_seg": 73.6336, "aux.loss_seg": 0.11782, "aux.acc_seg": 71.7036, "loss": 0.333, "time": 0.51349} +{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.22978, "decode.acc_seg": 73.23204, "aux.loss_seg": 0.12591, "aux.acc_seg": 71.08656, "loss": 0.35568, "time": 0.53032} +{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.22268, "decode.acc_seg": 72.122, "aux.loss_seg": 0.1188, "aux.acc_seg": 70.2942, "loss": 0.34148, "time": 0.54287} +{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.23858, "decode.acc_seg": 73.7139, "aux.loss_seg": 0.12569, "aux.acc_seg": 71.80102, "loss": 0.36427, "time": 0.53606} +{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.22615, "decode.acc_seg": 71.85139, "aux.loss_seg": 0.12081, "aux.acc_seg": 69.91944, "loss": 0.34695, "time": 0.51237} +{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 22404, "data_time": 0.00624, "decode.loss_seg": 0.21917, "decode.acc_seg": 72.86545, "aux.loss_seg": 0.11592, "aux.acc_seg": 71.05859, "loss": 0.33509, "time": 0.50925} +{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 22404, "data_time": 0.00611, "decode.loss_seg": 0.22683, "decode.acc_seg": 74.30602, "aux.loss_seg": 0.12436, "aux.acc_seg": 72.1317, "loss": 0.35118, "time": 0.51322} +{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 22404, "data_time": 0.25497, "decode.loss_seg": 0.23093, "decode.acc_seg": 73.45439, "aux.loss_seg": 0.12379, "aux.acc_seg": 71.35266, "loss": 0.35472, "time": 0.77407} +{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.22758, "decode.acc_seg": 72.84682, "aux.loss_seg": 0.12388, "aux.acc_seg": 70.72767, "loss": 0.35146, "time": 0.52013} +{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.22435, "decode.acc_seg": 72.80639, "aux.loss_seg": 0.12054, "aux.acc_seg": 70.83649, "loss": 0.3449, "time": 0.50938} +{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.21698, "decode.acc_seg": 74.25927, "aux.loss_seg": 0.12156, "aux.acc_seg": 71.91878, "loss": 0.33854, "time": 0.51185} +{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.23433, "decode.acc_seg": 72.78049, "aux.loss_seg": 0.12484, "aux.acc_seg": 70.98247, "loss": 0.35917, "time": 0.5123} +{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.21318, "decode.acc_seg": 73.88709, "aux.loss_seg": 0.11476, "aux.acc_seg": 71.98578, "loss": 0.32793, "time": 0.51022} +{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.23244, "decode.acc_seg": 74.06765, "aux.loss_seg": 0.12206, "aux.acc_seg": 72.04813, "loss": 0.3545, "time": 0.53101} +{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.23393, "decode.acc_seg": 72.92111, "aux.loss_seg": 0.12511, "aux.acc_seg": 70.94868, "loss": 0.35904, "time": 0.53258} +{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.22257, "decode.acc_seg": 72.92767, "aux.loss_seg": 0.11888, "aux.acc_seg": 71.00582, "loss": 0.34145, "time": 0.54453} +{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.23424, "decode.acc_seg": 72.86182, "aux.loss_seg": 0.12409, "aux.acc_seg": 70.79656, "loss": 0.35832, "time": 0.51937} +{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.21553, "decode.acc_seg": 72.51522, "aux.loss_seg": 0.11585, "aux.acc_seg": 70.67154, "loss": 0.33138, "time": 0.51246} +{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.224, "decode.acc_seg": 73.83496, "aux.loss_seg": 0.11976, "aux.acc_seg": 71.83555, "loss": 0.34376, "time": 0.52803} +{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 22404, "data_time": 0.00659, "decode.loss_seg": 0.22217, "decode.acc_seg": 72.461, "aux.loss_seg": 0.11885, "aux.acc_seg": 70.49963, "loss": 0.34102, "time": 0.51609} +{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.23855, "decode.acc_seg": 73.35637, "aux.loss_seg": 0.13035, "aux.acc_seg": 71.11895, "loss": 0.3689, "time": 0.51419} +{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.22224, "decode.acc_seg": 73.74272, "aux.loss_seg": 0.11708, "aux.acc_seg": 72.0138, "loss": 0.33932, "time": 0.5096} +{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.21717, "decode.acc_seg": 73.98384, "aux.loss_seg": 0.11573, "aux.acc_seg": 72.17594, "loss": 0.33291, "time": 0.51391} +{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.22767, "decode.acc_seg": 74.10895, "aux.loss_seg": 0.12308, "aux.acc_seg": 72.02958, "loss": 0.35075, "time": 0.514} +{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.22517, "decode.acc_seg": 73.12324, "aux.loss_seg": 0.12158, "aux.acc_seg": 71.06793, "loss": 0.34675, "time": 0.51375} +{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.23962, "decode.acc_seg": 73.39836, "aux.loss_seg": 0.12829, "aux.acc_seg": 71.39069, "loss": 0.36791, "time": 0.52045} +{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.22617, "decode.acc_seg": 74.71691, "aux.loss_seg": 0.12015, "aux.acc_seg": 72.91959, "loss": 0.34633, "time": 0.51314} +{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.22151, "decode.acc_seg": 73.35667, "aux.loss_seg": 0.11971, "aux.acc_seg": 71.41906, "loss": 0.34122, "time": 0.51241} +{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.23492, "decode.acc_seg": 73.41347, "aux.loss_seg": 0.12805, "aux.acc_seg": 71.1305, "loss": 0.36297, "time": 0.51154} +{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.22843, "decode.acc_seg": 74.20518, "aux.loss_seg": 0.11849, "aux.acc_seg": 72.50422, "loss": 0.34692, "time": 0.52079} +{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.22953, "decode.acc_seg": 73.52692, "aux.loss_seg": 0.12359, "aux.acc_seg": 71.45166, "loss": 0.35312, "time": 0.54375} +{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.22815, "decode.acc_seg": 72.8774, "aux.loss_seg": 0.12187, "aux.acc_seg": 70.89804, "loss": 0.35002, "time": 0.50946} +{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 22404, "data_time": 0.2444, "decode.loss_seg": 0.21468, "decode.acc_seg": 72.52053, "aux.loss_seg": 0.11561, "aux.acc_seg": 70.60524, "loss": 0.33029, "time": 0.73939} +{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.2235, "decode.acc_seg": 73.5961, "aux.loss_seg": 0.1205, "aux.acc_seg": 71.73743, "loss": 0.344, "time": 0.517} +{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.22529, "decode.acc_seg": 74.44759, "aux.loss_seg": 0.11949, "aux.acc_seg": 72.55845, "loss": 0.34478, "time": 0.51108} +{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.22808, "decode.acc_seg": 74.69185, "aux.loss_seg": 0.12175, "aux.acc_seg": 72.72844, "loss": 0.34983, "time": 0.5347} +{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.23146, "decode.acc_seg": 73.20171, "aux.loss_seg": 0.12308, "aux.acc_seg": 71.33049, "loss": 0.35454, "time": 0.52865} +{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.22905, "decode.acc_seg": 73.33208, "aux.loss_seg": 0.12246, "aux.acc_seg": 71.42017, "loss": 0.35152, "time": 0.54251} +{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.22431, "decode.acc_seg": 72.63781, "aux.loss_seg": 0.12039, "aux.acc_seg": 70.82927, "loss": 0.34469, "time": 0.5276} +{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.22202, "decode.acc_seg": 72.82087, "aux.loss_seg": 0.12036, "aux.acc_seg": 70.82431, "loss": 0.34237, "time": 0.51765} +{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.21009, "decode.acc_seg": 73.96535, "aux.loss_seg": 0.11345, "aux.acc_seg": 72.0254, "loss": 0.32355, "time": 0.51838} +{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.2191, "decode.acc_seg": 74.00008, "aux.loss_seg": 0.11671, "aux.acc_seg": 72.15942, "loss": 0.33582, "time": 0.51774} +{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.23294, "decode.acc_seg": 73.99597, "aux.loss_seg": 0.12551, "aux.acc_seg": 71.83122, "loss": 0.35845, "time": 0.51144} +{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2171, "decode.acc_seg": 72.73393, "aux.loss_seg": 0.11689, "aux.acc_seg": 70.83285, "loss": 0.33399, "time": 0.51571} +{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.21761, "decode.acc_seg": 74.00681, "aux.loss_seg": 0.11666, "aux.acc_seg": 72.01614, "loss": 0.33427, "time": 0.51315} +{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.22571, "decode.acc_seg": 71.935, "aux.loss_seg": 0.1205, "aux.acc_seg": 69.84831, "loss": 0.34621, "time": 0.52399} +{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.23941, "decode.acc_seg": 73.83488, "aux.loss_seg": 0.12774, "aux.acc_seg": 71.88976, "loss": 0.36715, "time": 0.52565} +{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.22654, "decode.acc_seg": 73.77377, "aux.loss_seg": 0.11951, "aux.acc_seg": 72.00996, "loss": 0.34604, "time": 0.51333} +{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.24516, "decode.acc_seg": 72.29951, "aux.loss_seg": 0.12749, "aux.acc_seg": 70.50566, "loss": 0.37266, "time": 0.51576} +{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.22944, "decode.acc_seg": 72.80225, "aux.loss_seg": 0.12278, "aux.acc_seg": 70.86441, "loss": 0.35222, "time": 0.52738} +{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.21663, "decode.acc_seg": 73.3799, "aux.loss_seg": 0.11856, "aux.acc_seg": 71.21751, "loss": 0.33518, "time": 0.51806} +{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.23011, "decode.acc_seg": 73.90582, "aux.loss_seg": 0.12435, "aux.acc_seg": 71.88392, "loss": 0.35447, "time": 0.52963} +{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.22697, "decode.acc_seg": 73.92587, "aux.loss_seg": 0.12114, "aux.acc_seg": 72.0118, "loss": 0.34811, "time": 0.53999} +{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.22983, "decode.acc_seg": 72.69495, "aux.loss_seg": 0.12385, "aux.acc_seg": 70.66231, "loss": 0.35368, "time": 0.53238} +{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 22404, "data_time": 0.00654, "decode.loss_seg": 0.21865, "decode.acc_seg": 75.16725, "aux.loss_seg": 0.11637, "aux.acc_seg": 73.375, "loss": 0.33503, "time": 0.51111} +{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.2155, "decode.acc_seg": 73.24778, "aux.loss_seg": 0.11738, "aux.acc_seg": 71.27302, "loss": 0.33288, "time": 0.51376} +{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.22838, "decode.acc_seg": 73.66534, "aux.loss_seg": 0.12348, "aux.acc_seg": 71.55934, "loss": 0.35186, "time": 0.53058} +{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 22404, "data_time": 0.00659, "decode.loss_seg": 0.23442, "decode.acc_seg": 72.89765, "aux.loss_seg": 0.12406, "aux.acc_seg": 70.88828, "loss": 0.35849, "time": 0.5114} +{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 22404, "data_time": 0.24295, "decode.loss_seg": 0.21506, "decode.acc_seg": 74.13249, "aux.loss_seg": 0.1159, "aux.acc_seg": 72.14505, "loss": 0.33096, "time": 0.77064} +{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.21521, "decode.acc_seg": 73.71946, "aux.loss_seg": 0.11603, "aux.acc_seg": 71.68486, "loss": 0.33124, "time": 0.54413} +{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.23294, "decode.acc_seg": 73.41581, "aux.loss_seg": 0.12363, "aux.acc_seg": 71.33265, "loss": 0.35657, "time": 0.54248} +{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.22295, "decode.acc_seg": 73.95938, "aux.loss_seg": 0.11885, "aux.acc_seg": 72.19431, "loss": 0.3418, "time": 0.51828} +{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.22222, "decode.acc_seg": 73.40893, "aux.loss_seg": 0.11979, "aux.acc_seg": 71.32459, "loss": 0.34201, "time": 0.53237} +{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.22277, "decode.acc_seg": 73.86474, "aux.loss_seg": 0.11886, "aux.acc_seg": 71.91081, "loss": 0.34162, "time": 0.50824} +{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.23685, "decode.acc_seg": 73.15753, "aux.loss_seg": 0.12311, "aux.acc_seg": 71.35748, "loss": 0.35997, "time": 0.52072} +{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.23235, "decode.acc_seg": 71.84489, "aux.loss_seg": 0.12365, "aux.acc_seg": 69.91782, "loss": 0.356, "time": 0.51068} +{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.23005, "decode.acc_seg": 73.80303, "aux.loss_seg": 0.12249, "aux.acc_seg": 71.88358, "loss": 0.35254, "time": 0.51195} +{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.23763, "decode.acc_seg": 73.67759, "aux.loss_seg": 0.12549, "aux.acc_seg": 71.74821, "loss": 0.36312, "time": 0.53515} +{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.22585, "decode.acc_seg": 73.71316, "aux.loss_seg": 0.11574, "aux.acc_seg": 72.14847, "loss": 0.34159, "time": 0.5089} +{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.22189, "decode.acc_seg": 73.93257, "aux.loss_seg": 0.12088, "aux.acc_seg": 71.93733, "loss": 0.34277, "time": 0.51575} +{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.22992, "decode.acc_seg": 72.86598, "aux.loss_seg": 0.12242, "aux.acc_seg": 70.94649, "loss": 0.35234, "time": 0.51309} +{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.22652, "decode.acc_seg": 74.22699, "aux.loss_seg": 0.12198, "aux.acc_seg": 72.37672, "loss": 0.3485, "time": 0.50981} +{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.2241, "decode.acc_seg": 72.98285, "aux.loss_seg": 0.12023, "aux.acc_seg": 71.05147, "loss": 0.34433, "time": 0.50995} +{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.226, "decode.acc_seg": 72.93371, "aux.loss_seg": 0.12186, "aux.acc_seg": 70.93587, "loss": 0.34787, "time": 0.50909} +{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.2151, "decode.acc_seg": 72.01133, "aux.loss_seg": 0.11635, "aux.acc_seg": 70.08669, "loss": 0.33145, "time": 0.50731} +{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21594, "decode.acc_seg": 72.13983, "aux.loss_seg": 0.11781, "aux.acc_seg": 70.12714, "loss": 0.33375, "time": 0.53084} +{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.22551, "decode.acc_seg": 73.31235, "aux.loss_seg": 0.12167, "aux.acc_seg": 71.3535, "loss": 0.34718, "time": 0.51253} +{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.21835, "decode.acc_seg": 71.66355, "aux.loss_seg": 0.11979, "aux.acc_seg": 69.59135, "loss": 0.33814, "time": 0.51947} +{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 22404, "data_time": 0.00798, "decode.loss_seg": 0.23161, "decode.acc_seg": 73.9934, "aux.loss_seg": 0.12107, "aux.acc_seg": 72.3112, "loss": 0.35269, "time": 0.51318} +{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.2371, "decode.acc_seg": 73.76845, "aux.loss_seg": 0.12645, "aux.acc_seg": 71.92164, "loss": 0.36355, "time": 0.5222} +{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.23394, "decode.acc_seg": 72.77726, "aux.loss_seg": 0.12736, "aux.acc_seg": 70.64218, "loss": 0.36129, "time": 0.54079} +{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.21439, "decode.acc_seg": 74.21087, "aux.loss_seg": 0.11484, "aux.acc_seg": 72.28522, "loss": 0.32923, "time": 0.50771} +{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.2331, "decode.acc_seg": 73.08859, "aux.loss_seg": 0.12527, "aux.acc_seg": 70.93333, "loss": 0.35837, "time": 0.5081} +{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 22404, "data_time": 0.24881, "decode.loss_seg": 0.22561, "decode.acc_seg": 74.52233, "aux.loss_seg": 0.11986, "aux.acc_seg": 72.70115, "loss": 0.34547, "time": 0.74759} +{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.2134, "decode.acc_seg": 75.09374, "aux.loss_seg": 0.11439, "aux.acc_seg": 73.35257, "loss": 0.3278, "time": 0.51561} +{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.20889, "decode.acc_seg": 73.25838, "aux.loss_seg": 0.11378, "aux.acc_seg": 71.3605, "loss": 0.32268, "time": 0.51543} +{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.22163, "decode.acc_seg": 74.72008, "aux.loss_seg": 0.12055, "aux.acc_seg": 72.72302, "loss": 0.34218, "time": 0.51525} +{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.21225, "decode.acc_seg": 73.35781, "aux.loss_seg": 0.11717, "aux.acc_seg": 71.39318, "loss": 0.32942, "time": 0.53141} +{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.22204, "decode.acc_seg": 73.78331, "aux.loss_seg": 0.11633, "aux.acc_seg": 72.10704, "loss": 0.33837, "time": 0.53723} +{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.21572, "decode.acc_seg": 73.68864, "aux.loss_seg": 0.11599, "aux.acc_seg": 71.83912, "loss": 0.33171, "time": 0.51518} +{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.22633, "decode.acc_seg": 73.21348, "aux.loss_seg": 0.12355, "aux.acc_seg": 71.20039, "loss": 0.34988, "time": 0.54438} +{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.20944, "decode.acc_seg": 73.09388, "aux.loss_seg": 0.11277, "aux.acc_seg": 71.20696, "loss": 0.32221, "time": 0.52497} +{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.21421, "decode.acc_seg": 73.30703, "aux.loss_seg": 0.11616, "aux.acc_seg": 71.36625, "loss": 0.33037, "time": 0.51031} +{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.21419, "decode.acc_seg": 72.62955, "aux.loss_seg": 0.116, "aux.acc_seg": 70.53433, "loss": 0.33019, "time": 0.51184} +{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.22222, "decode.acc_seg": 74.4494, "aux.loss_seg": 0.12158, "aux.acc_seg": 72.3994, "loss": 0.3438, "time": 0.50948} +{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.22819, "decode.acc_seg": 74.33132, "aux.loss_seg": 0.12024, "aux.acc_seg": 72.3921, "loss": 0.34843, "time": 0.52193} +{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.21586, "decode.acc_seg": 73.45116, "aux.loss_seg": 0.11718, "aux.acc_seg": 71.57039, "loss": 0.33303, "time": 0.54363} +{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.22571, "decode.acc_seg": 73.23774, "aux.loss_seg": 0.12022, "aux.acc_seg": 71.19522, "loss": 0.34593, "time": 0.53424} +{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.24219, "decode.acc_seg": 74.10889, "aux.loss_seg": 0.13069, "aux.acc_seg": 71.95517, "loss": 0.37288, "time": 0.53098} +{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.22662, "decode.acc_seg": 72.20264, "aux.loss_seg": 0.11952, "aux.acc_seg": 70.38929, "loss": 0.34614, "time": 0.50913} +{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.20389, "decode.acc_seg": 73.8291, "aux.loss_seg": 0.1097, "aux.acc_seg": 72.04231, "loss": 0.31359, "time": 0.51451} +{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.23261, "decode.acc_seg": 72.93805, "aux.loss_seg": 0.12465, "aux.acc_seg": 70.99706, "loss": 0.35726, "time": 0.51054} +{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23002, "decode.acc_seg": 74.88492, "aux.loss_seg": 0.12382, "aux.acc_seg": 72.90219, "loss": 0.35384, "time": 0.5417} +{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23194, "decode.acc_seg": 73.24659, "aux.loss_seg": 0.12353, "aux.acc_seg": 71.27819, "loss": 0.35547, "time": 0.52278} +{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.2181, "decode.acc_seg": 73.45223, "aux.loss_seg": 0.1154, "aux.acc_seg": 71.58398, "loss": 0.33349, "time": 0.53339} +{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.34214, "aux.loss_seg": 0.12874, "aux.acc_seg": 70.49433, "loss": 0.37349, "time": 0.51029} +{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.22027, "decode.acc_seg": 72.81337, "aux.loss_seg": 0.11924, "aux.acc_seg": 70.87299, "loss": 0.33951, "time": 0.52492} +{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.23739, "decode.acc_seg": 73.72532, "aux.loss_seg": 0.12616, "aux.acc_seg": 71.79818, "loss": 0.36355, "time": 0.5197} +{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 22404, "data_time": 0.25121, "decode.loss_seg": 0.2312, "decode.acc_seg": 72.37104, "aux.loss_seg": 0.12444, "aux.acc_seg": 70.30976, "loss": 0.35564, "time": 0.77778} +{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.20975, "decode.acc_seg": 74.37078, "aux.loss_seg": 0.1118, "aux.acc_seg": 72.56029, "loss": 0.32156, "time": 0.52086} +{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21027, "decode.acc_seg": 73.1487, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.36483, "loss": 0.32413, "time": 0.52679} +{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.21942, "decode.acc_seg": 73.00109, "aux.loss_seg": 0.1212, "aux.acc_seg": 70.84289, "loss": 0.34061, "time": 0.51354} +{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.22223, "decode.acc_seg": 74.73735, "aux.loss_seg": 0.1192, "aux.acc_seg": 72.88726, "loss": 0.34143, "time": 0.514} +{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.20882, "decode.acc_seg": 74.86822, "aux.loss_seg": 0.11432, "aux.acc_seg": 72.80118, "loss": 0.32314, "time": 0.54217} +{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.21733, "decode.acc_seg": 73.94244, "aux.loss_seg": 0.11607, "aux.acc_seg": 72.19071, "loss": 0.33341, "time": 0.51826} +{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.21663, "decode.acc_seg": 73.01891, "aux.loss_seg": 0.1165, "aux.acc_seg": 71.07328, "loss": 0.33313, "time": 0.51519} +{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.23392, "decode.acc_seg": 73.30183, "aux.loss_seg": 0.12173, "aux.acc_seg": 71.5119, "loss": 0.35565, "time": 0.54588} +{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.22094, "decode.acc_seg": 72.77221, "aux.loss_seg": 0.12091, "aux.acc_seg": 70.62006, "loss": 0.34185, "time": 0.54138} +{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.21562, "decode.acc_seg": 73.49952, "aux.loss_seg": 0.11789, "aux.acc_seg": 71.46515, "loss": 0.33351, "time": 0.50994} +{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.22083, "decode.acc_seg": 73.58777, "aux.loss_seg": 0.11937, "aux.acc_seg": 71.56905, "loss": 0.3402, "time": 0.51255} +{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21517, "decode.acc_seg": 73.68892, "aux.loss_seg": 0.11718, "aux.acc_seg": 71.70308, "loss": 0.33235, "time": 0.51475} +{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.21949, "decode.acc_seg": 74.28313, "aux.loss_seg": 0.11954, "aux.acc_seg": 72.30866, "loss": 0.33902, "time": 0.50777} +{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.21891, "decode.acc_seg": 73.7628, "aux.loss_seg": 0.11893, "aux.acc_seg": 71.7723, "loss": 0.33784, "time": 0.51181} +{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.20949, "decode.acc_seg": 73.07748, "aux.loss_seg": 0.11326, "aux.acc_seg": 71.23462, "loss": 0.32275, "time": 0.51007} +{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.23354, "decode.acc_seg": 74.24778, "aux.loss_seg": 0.12813, "aux.acc_seg": 71.93024, "loss": 0.36167, "time": 0.50743} +{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.21668, "decode.acc_seg": 74.76372, "aux.loss_seg": 0.11614, "aux.acc_seg": 72.87862, "loss": 0.33282, "time": 0.51439} +{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.21731, "decode.acc_seg": 73.29361, "aux.loss_seg": 0.11857, "aux.acc_seg": 71.1409, "loss": 0.33588, "time": 0.52653} +{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.21912, "decode.acc_seg": 74.02184, "aux.loss_seg": 0.12057, "aux.acc_seg": 71.94136, "loss": 0.33968, "time": 0.51849} +{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.22792, "decode.acc_seg": 72.78261, "aux.loss_seg": 0.11971, "aux.acc_seg": 70.96747, "loss": 0.34763, "time": 0.5118} +{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.22294, "decode.acc_seg": 73.23283, "aux.loss_seg": 0.11827, "aux.acc_seg": 71.38345, "loss": 0.34121, "time": 0.51299} +{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.22464, "decode.acc_seg": 74.00481, "aux.loss_seg": 0.12116, "aux.acc_seg": 72.05857, "loss": 0.34579, "time": 0.51194} +{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.22505, "decode.acc_seg": 73.62899, "aux.loss_seg": 0.11973, "aux.acc_seg": 71.73964, "loss": 0.34478, "time": 0.51324} +{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.20937, "decode.acc_seg": 72.45467, "aux.loss_seg": 0.1143, "aux.acc_seg": 70.39661, "loss": 0.32367, "time": 0.52603} +{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 22404, "data_time": 0.24858, "decode.loss_seg": 0.23145, "decode.acc_seg": 73.69022, "aux.loss_seg": 0.12438, "aux.acc_seg": 71.5952, "loss": 0.35583, "time": 0.75345} +{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.21651, "decode.acc_seg": 72.54535, "aux.loss_seg": 0.11604, "aux.acc_seg": 70.73473, "loss": 0.33255, "time": 0.51687} +{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.21352, "decode.acc_seg": 73.62777, "aux.loss_seg": 0.11288, "aux.acc_seg": 71.91251, "loss": 0.3264, "time": 0.5312} +{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.22094, "decode.acc_seg": 74.55162, "aux.loss_seg": 0.1192, "aux.acc_seg": 72.55655, "loss": 0.34013, "time": 0.51209} +{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.21683, "decode.acc_seg": 73.13935, "aux.loss_seg": 0.11726, "aux.acc_seg": 71.13198, "loss": 0.33409, "time": 0.51417} +{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21437, "decode.acc_seg": 72.59356, "aux.loss_seg": 0.11664, "aux.acc_seg": 70.59755, "loss": 0.33101, "time": 0.51209} +{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.22403, "decode.acc_seg": 73.61698, "aux.loss_seg": 0.11905, "aux.acc_seg": 71.69051, "loss": 0.34308, "time": 0.51258} +{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.20651, "decode.acc_seg": 73.97039, "aux.loss_seg": 0.11305, "aux.acc_seg": 71.99826, "loss": 0.31955, "time": 0.51515} +{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.22189, "decode.acc_seg": 73.89611, "aux.loss_seg": 0.12135, "aux.acc_seg": 71.88936, "loss": 0.34324, "time": 0.51743} +{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20726, "decode.acc_seg": 73.62341, "aux.loss_seg": 0.11358, "aux.acc_seg": 71.7222, "loss": 0.32084, "time": 0.52057} +{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.22486, "decode.acc_seg": 73.17337, "aux.loss_seg": 0.12008, "aux.acc_seg": 71.24984, "loss": 0.34495, "time": 0.52451} +{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.20363, "decode.acc_seg": 72.96378, "aux.loss_seg": 0.10985, "aux.acc_seg": 71.31402, "loss": 0.31347, "time": 0.51688} +{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.2167, "decode.acc_seg": 73.8919, "aux.loss_seg": 0.12027, "aux.acc_seg": 71.6155, "loss": 0.33697, "time": 0.51176} +{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.21701, "decode.acc_seg": 74.29821, "aux.loss_seg": 0.11533, "aux.acc_seg": 72.58443, "loss": 0.33235, "time": 0.50992} +{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.21067, "decode.acc_seg": 73.94993, "aux.loss_seg": 0.11412, "aux.acc_seg": 72.09499, "loss": 0.3248, "time": 0.51137} +{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.21726, "decode.acc_seg": 73.90655, "aux.loss_seg": 0.11562, "aux.acc_seg": 72.0878, "loss": 0.33288, "time": 0.52303} +{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.20619, "decode.acc_seg": 73.29843, "aux.loss_seg": 0.11331, "aux.acc_seg": 71.31494, "loss": 0.3195, "time": 0.51668} +{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.21831, "decode.acc_seg": 73.37471, "aux.loss_seg": 0.11842, "aux.acc_seg": 71.37643, "loss": 0.33673, "time": 0.5102} +{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.20734, "decode.acc_seg": 75.76869, "aux.loss_seg": 0.1118, "aux.acc_seg": 74.00804, "loss": 0.31914, "time": 0.51612} +{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.21507, "decode.acc_seg": 73.10176, "aux.loss_seg": 0.11587, "aux.acc_seg": 71.09927, "loss": 0.33095, "time": 0.54276} +{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.23228, "decode.acc_seg": 73.27223, "aux.loss_seg": 0.12381, "aux.acc_seg": 71.30226, "loss": 0.35609, "time": 0.5322} +{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21208, "decode.acc_seg": 72.99629, "aux.loss_seg": 0.1145, "aux.acc_seg": 71.15392, "loss": 0.32658, "time": 0.5144} +{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.22072, "decode.acc_seg": 74.01593, "aux.loss_seg": 0.1201, "aux.acc_seg": 71.98117, "loss": 0.34082, "time": 0.51583} +{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.23803, "decode.acc_seg": 72.86466, "aux.loss_seg": 0.12392, "aux.acc_seg": 71.01797, "loss": 0.36196, "time": 0.51438} +{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.22697, "decode.acc_seg": 71.63499, "aux.loss_seg": 0.12201, "aux.acc_seg": 69.71316, "loss": 0.34898, "time": 0.51986} +{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.22702, "decode.acc_seg": 73.82285, "aux.loss_seg": 0.12175, "aux.acc_seg": 71.69398, "loss": 0.34877, "time": 0.51413} +{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 22404, "data_time": 0.24664, "decode.loss_seg": 0.21773, "decode.acc_seg": 73.44833, "aux.loss_seg": 0.11775, "aux.acc_seg": 71.42687, "loss": 0.33548, "time": 0.747} +{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.22775, "decode.acc_seg": 74.6114, "aux.loss_seg": 0.12046, "aux.acc_seg": 72.72368, "loss": 0.34821, "time": 0.51429} +{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.21055, "decode.acc_seg": 74.46658, "aux.loss_seg": 0.11269, "aux.acc_seg": 72.62768, "loss": 0.32324, "time": 0.51205} +{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.21773, "decode.acc_seg": 73.07049, "aux.loss_seg": 0.1197, "aux.acc_seg": 71.07146, "loss": 0.33744, "time": 0.53341} +{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.20024, "decode.acc_seg": 73.7562, "aux.loss_seg": 0.10724, "aux.acc_seg": 72.00279, "loss": 0.30748, "time": 0.51586} +{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.19931, "decode.acc_seg": 72.35773, "aux.loss_seg": 0.10773, "aux.acc_seg": 70.46081, "loss": 0.30704, "time": 0.51089} +{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.22576, "decode.acc_seg": 73.04903, "aux.loss_seg": 0.12063, "aux.acc_seg": 71.14153, "loss": 0.34639, "time": 0.51325} +{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.21334, "decode.acc_seg": 75.16453, "aux.loss_seg": 0.1144, "aux.acc_seg": 73.20456, "loss": 0.32773, "time": 0.51981} +{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21397, "decode.acc_seg": 75.14586, "aux.loss_seg": 0.11692, "aux.acc_seg": 73.18421, "loss": 0.33089, "time": 0.51165} +{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.21491, "decode.acc_seg": 73.91676, "aux.loss_seg": 0.11533, "aux.acc_seg": 72.03328, "loss": 0.33024, "time": 0.51302} +{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.21863, "decode.acc_seg": 73.36057, "aux.loss_seg": 0.1189, "aux.acc_seg": 71.32771, "loss": 0.33753, "time": 0.51244} +{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.232, "decode.acc_seg": 73.58805, "aux.loss_seg": 0.12466, "aux.acc_seg": 71.55612, "loss": 0.35666, "time": 0.52062} +{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.22087, "decode.acc_seg": 73.04757, "aux.loss_seg": 0.11788, "aux.acc_seg": 71.19398, "loss": 0.33875, "time": 0.52103} +{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.22617, "decode.acc_seg": 74.58014, "aux.loss_seg": 0.12287, "aux.acc_seg": 72.6189, "loss": 0.34904, "time": 0.53803} +{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.21231, "decode.acc_seg": 73.25951, "aux.loss_seg": 0.11408, "aux.acc_seg": 71.27361, "loss": 0.32639, "time": 0.51287} +{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.21424, "decode.acc_seg": 73.39731, "aux.loss_seg": 0.11527, "aux.acc_seg": 71.5208, "loss": 0.32951, "time": 0.5078} +{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.22537, "decode.acc_seg": 73.21905, "aux.loss_seg": 0.1193, "aux.acc_seg": 71.49517, "loss": 0.34467, "time": 0.53291} +{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.2181, "decode.acc_seg": 73.48675, "aux.loss_seg": 0.11689, "aux.acc_seg": 71.6103, "loss": 0.33499, "time": 0.53806} +{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.21402, "decode.acc_seg": 71.72207, "aux.loss_seg": 0.11524, "aux.acc_seg": 69.81672, "loss": 0.32926, "time": 0.53315} +{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.22371, "decode.acc_seg": 72.67414, "aux.loss_seg": 0.12111, "aux.acc_seg": 70.67505, "loss": 0.34482, "time": 0.53105} +{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.21498, "decode.acc_seg": 73.38116, "aux.loss_seg": 0.11573, "aux.acc_seg": 71.4053, "loss": 0.33071, "time": 0.51218} +{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21195, "decode.acc_seg": 73.73649, "aux.loss_seg": 0.1163, "aux.acc_seg": 71.64036, "loss": 0.32825, "time": 0.51362} +{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21808, "decode.acc_seg": 74.46078, "aux.loss_seg": 0.11828, "aux.acc_seg": 72.39108, "loss": 0.33636, "time": 0.51321} +{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.21258, "decode.acc_seg": 74.39506, "aux.loss_seg": 0.11824, "aux.acc_seg": 72.3292, "loss": 0.33082, "time": 0.51043} +{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21817, "decode.acc_seg": 72.91513, "aux.loss_seg": 0.11641, "aux.acc_seg": 71.0929, "loss": 0.33458, "time": 0.51174} +{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 22404, "data_time": 0.24828, "decode.loss_seg": 0.22194, "decode.acc_seg": 74.08011, "aux.loss_seg": 0.12084, "aux.acc_seg": 72.09155, "loss": 0.34278, "time": 0.749} +{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.2132, "decode.acc_seg": 73.60325, "aux.loss_seg": 0.11513, "aux.acc_seg": 71.7308, "loss": 0.32833, "time": 0.50864} +{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.21462, "decode.acc_seg": 72.92695, "aux.loss_seg": 0.11614, "aux.acc_seg": 70.96776, "loss": 0.33076, "time": 0.53469} +{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.22088, "decode.acc_seg": 73.44657, "aux.loss_seg": 0.11978, "aux.acc_seg": 71.4772, "loss": 0.34066, "time": 0.52128} +{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.19781, "decode.acc_seg": 73.95431, "aux.loss_seg": 0.10911, "aux.acc_seg": 72.09022, "loss": 0.30692, "time": 0.52076} +{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.19799, "decode.acc_seg": 74.25675, "aux.loss_seg": 0.10949, "aux.acc_seg": 72.36394, "loss": 0.30748, "time": 0.537} +{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.22708, "decode.acc_seg": 74.72749, "aux.loss_seg": 0.12328, "aux.acc_seg": 72.80092, "loss": 0.35036, "time": 0.5138} +{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.2157, "decode.acc_seg": 72.28019, "aux.loss_seg": 0.11738, "aux.acc_seg": 70.30886, "loss": 0.33309, "time": 0.54486} +{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.22343, "decode.acc_seg": 73.81707, "aux.loss_seg": 0.12077, "aux.acc_seg": 71.86405, "loss": 0.34419, "time": 0.51304} +{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.21783, "decode.acc_seg": 73.26983, "aux.loss_seg": 0.11827, "aux.acc_seg": 71.30344, "loss": 0.3361, "time": 0.5259} +{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.21941, "decode.acc_seg": 73.74955, "aux.loss_seg": 0.11823, "aux.acc_seg": 71.86088, "loss": 0.33764, "time": 0.53062} +{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.22158, "decode.acc_seg": 74.27829, "aux.loss_seg": 0.11846, "aux.acc_seg": 72.41755, "loss": 0.34004, "time": 0.52975} +{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.22133, "decode.acc_seg": 71.18056, "aux.loss_seg": 0.12181, "aux.acc_seg": 68.89264, "loss": 0.34313, "time": 0.51806} +{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.21607, "decode.acc_seg": 74.02281, "aux.loss_seg": 0.11555, "aux.acc_seg": 72.24666, "loss": 0.33162, "time": 0.52149} +{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.21429, "decode.acc_seg": 74.67026, "aux.loss_seg": 0.11589, "aux.acc_seg": 72.72163, "loss": 0.33019, "time": 0.52172} +{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.22161, "decode.acc_seg": 74.57688, "aux.loss_seg": 0.11755, "aux.acc_seg": 72.84419, "loss": 0.33916, "time": 0.51479} +{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 22404, "data_time": 0.00674, "decode.loss_seg": 0.21151, "decode.acc_seg": 73.76589, "aux.loss_seg": 0.11407, "aux.acc_seg": 71.86307, "loss": 0.32558, "time": 0.53704} +{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.21444, "decode.acc_seg": 72.86775, "aux.loss_seg": 0.11812, "aux.acc_seg": 70.87682, "loss": 0.33257, "time": 0.50862} +{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.2161, "decode.acc_seg": 73.97635, "aux.loss_seg": 0.11734, "aux.acc_seg": 71.98833, "loss": 0.33344, "time": 0.51013} +{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.21366, "decode.acc_seg": 72.67103, "aux.loss_seg": 0.11675, "aux.acc_seg": 70.72558, "loss": 0.33041, "time": 0.50903} +{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.2227, "decode.acc_seg": 74.08284, "aux.loss_seg": 0.11932, "aux.acc_seg": 72.03703, "loss": 0.34202, "time": 0.51836} +{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.22248, "decode.acc_seg": 74.86094, "aux.loss_seg": 0.12063, "aux.acc_seg": 72.72698, "loss": 0.34311, "time": 0.52502} +{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.20405, "decode.acc_seg": 73.54516, "aux.loss_seg": 0.1117, "aux.acc_seg": 71.56684, "loss": 0.31575, "time": 0.53259} +{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.21919, "decode.acc_seg": 73.13108, "aux.loss_seg": 0.12168, "aux.acc_seg": 71.07272, "loss": 0.34087, "time": 0.51112} +{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.21558, "decode.acc_seg": 73.53485, "aux.loss_seg": 0.11686, "aux.acc_seg": 71.54488, "loss": 0.33244, "time": 0.51296} +{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 22404, "data_time": 0.24511, "decode.loss_seg": 0.21181, "decode.acc_seg": 73.2446, "aux.loss_seg": 0.11427, "aux.acc_seg": 71.33195, "loss": 0.32607, "time": 0.75638} +{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.21536, "decode.acc_seg": 72.84388, "aux.loss_seg": 0.11513, "aux.acc_seg": 71.03214, "loss": 0.33049, "time": 0.54503} +{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 22404, "data_time": 0.00865, "decode.loss_seg": 0.20877, "decode.acc_seg": 74.44751, "aux.loss_seg": 0.11335, "aux.acc_seg": 72.57955, "loss": 0.32212, "time": 0.523} +{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.21617, "decode.acc_seg": 74.75309, "aux.loss_seg": 0.11737, "aux.acc_seg": 72.66821, "loss": 0.33354, "time": 0.52163} +{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.20964, "decode.acc_seg": 73.56068, "aux.loss_seg": 0.11374, "aux.acc_seg": 71.55801, "loss": 0.32337, "time": 0.51619} +{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.21637, "decode.acc_seg": 72.5286, "aux.loss_seg": 0.11828, "aux.acc_seg": 70.46292, "loss": 0.33465, "time": 0.53255} +{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.20084, "decode.acc_seg": 72.90778, "aux.loss_seg": 0.10912, "aux.acc_seg": 71.17468, "loss": 0.30996, "time": 0.53077} +{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 22404, "data_time": 0.00826, "decode.loss_seg": 0.20704, "decode.acc_seg": 75.02907, "aux.loss_seg": 0.11388, "aux.acc_seg": 73.03701, "loss": 0.32093, "time": 0.54328} +{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.2162, "decode.acc_seg": 73.07913, "aux.loss_seg": 0.11613, "aux.acc_seg": 71.40951, "loss": 0.33233, "time": 0.5186} +{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.21692, "decode.acc_seg": 73.90374, "aux.loss_seg": 0.11741, "aux.acc_seg": 71.95749, "loss": 0.33433, "time": 0.52117} +{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.22242, "decode.acc_seg": 74.21635, "aux.loss_seg": 0.12163, "aux.acc_seg": 72.00943, "loss": 0.34405, "time": 0.51983} +{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.20321, "decode.acc_seg": 74.21302, "aux.loss_seg": 0.11324, "aux.acc_seg": 72.17651, "loss": 0.31645, "time": 0.54433} +{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.20553, "decode.acc_seg": 73.49652, "aux.loss_seg": 0.11319, "aux.acc_seg": 71.37548, "loss": 0.31872, "time": 0.53997} +{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21631, "decode.acc_seg": 73.43297, "aux.loss_seg": 0.11629, "aux.acc_seg": 71.51333, "loss": 0.33259, "time": 0.51282} +{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.20503, "decode.acc_seg": 74.15942, "aux.loss_seg": 0.11094, "aux.acc_seg": 72.30577, "loss": 0.31597, "time": 0.50901} +{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21418, "decode.acc_seg": 73.81463, "aux.loss_seg": 0.11534, "aux.acc_seg": 71.76594, "loss": 0.32951, "time": 0.5091} +{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.21367, "decode.acc_seg": 72.20547, "aux.loss_seg": 0.11485, "aux.acc_seg": 70.39766, "loss": 0.32852, "time": 0.53488} +{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.20941, "decode.acc_seg": 73.46221, "aux.loss_seg": 0.11408, "aux.acc_seg": 71.46454, "loss": 0.32349, "time": 0.54222} +{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.22201, "decode.acc_seg": 73.16789, "aux.loss_seg": 0.12123, "aux.acc_seg": 71.18194, "loss": 0.34323, "time": 0.51577} +{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.21757, "decode.acc_seg": 73.48699, "aux.loss_seg": 0.11742, "aux.acc_seg": 71.53628, "loss": 0.33499, "time": 0.51385} +{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.2196, "decode.acc_seg": 73.22, "aux.loss_seg": 0.11948, "aux.acc_seg": 71.32364, "loss": 0.33908, "time": 0.51403} +{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21133, "decode.acc_seg": 72.69305, "aux.loss_seg": 0.11152, "aux.acc_seg": 71.01775, "loss": 0.32284, "time": 0.51842} +{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.21864, "decode.acc_seg": 73.7354, "aux.loss_seg": 0.1186, "aux.acc_seg": 71.81291, "loss": 0.33724, "time": 0.53023} +{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.22021, "decode.acc_seg": 74.40672, "aux.loss_seg": 0.11785, "aux.acc_seg": 72.5296, "loss": 0.33806, "time": 0.52577} +{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.20739, "decode.acc_seg": 73.68371, "aux.loss_seg": 0.11403, "aux.acc_seg": 71.7356, "loss": 0.32142, "time": 0.53853} +{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 22404, "data_time": 0.24678, "decode.loss_seg": 0.20804, "decode.acc_seg": 73.9429, "aux.loss_seg": 0.1111, "aux.acc_seg": 72.13333, "loss": 0.31914, "time": 0.76339} +{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.63664, "aux.loss_seg": 0.11496, "aux.acc_seg": 71.48195, "loss": 0.32163, "time": 0.51977} +{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.20325, "decode.acc_seg": 72.96296, "aux.loss_seg": 0.11032, "aux.acc_seg": 71.14914, "loss": 0.31357, "time": 0.51304} +{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.21797, "decode.acc_seg": 74.68096, "aux.loss_seg": 0.11643, "aux.acc_seg": 72.6858, "loss": 0.33441, "time": 0.52812} +{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 22404, "data_time": 0.00835, "decode.loss_seg": 0.20348, "decode.acc_seg": 74.12605, "aux.loss_seg": 0.10936, "aux.acc_seg": 72.23346, "loss": 0.31283, "time": 0.53577} +{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.20285, "decode.acc_seg": 73.31195, "aux.loss_seg": 0.1077, "aux.acc_seg": 71.66215, "loss": 0.31055, "time": 0.53119} +{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21579, "decode.acc_seg": 72.9594, "aux.loss_seg": 0.11664, "aux.acc_seg": 71.07919, "loss": 0.33243, "time": 0.5132} +{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.20612, "decode.acc_seg": 74.2487, "aux.loss_seg": 0.11355, "aux.acc_seg": 72.24239, "loss": 0.31967, "time": 0.53675} +{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.21236, "decode.acc_seg": 75.03272, "aux.loss_seg": 0.1139, "aux.acc_seg": 73.07097, "loss": 0.32626, "time": 0.51654} +{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19987, "decode.acc_seg": 72.89949, "aux.loss_seg": 0.10873, "aux.acc_seg": 70.99234, "loss": 0.30859, "time": 0.53742} +{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.20978, "decode.acc_seg": 73.70553, "aux.loss_seg": 0.11434, "aux.acc_seg": 71.77523, "loss": 0.32412, "time": 0.52682} +{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21167, "decode.acc_seg": 74.09033, "aux.loss_seg": 0.1134, "aux.acc_seg": 72.15006, "loss": 0.32508, "time": 0.51542} +{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20282, "decode.acc_seg": 73.23131, "aux.loss_seg": 0.1125, "aux.acc_seg": 71.27361, "loss": 0.31532, "time": 0.50878} +{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.20809, "decode.acc_seg": 73.37911, "aux.loss_seg": 0.11486, "aux.acc_seg": 71.21656, "loss": 0.32295, "time": 0.50806} +{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.2032, "decode.acc_seg": 73.68891, "aux.loss_seg": 0.11064, "aux.acc_seg": 71.88541, "loss": 0.31384, "time": 0.52967} +{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.20496, "decode.acc_seg": 72.9445, "aux.loss_seg": 0.11296, "aux.acc_seg": 70.94071, "loss": 0.31792, "time": 0.52206} +{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.2187, "decode.acc_seg": 73.58378, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.90884, "loss": 0.33265, "time": 0.54167} +{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21157, "decode.acc_seg": 73.18594, "aux.loss_seg": 0.11283, "aux.acc_seg": 71.29442, "loss": 0.3244, "time": 0.53515} +{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.20834, "decode.acc_seg": 73.4859, "aux.loss_seg": 0.11543, "aux.acc_seg": 71.38294, "loss": 0.32377, "time": 0.52742} +{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.20327, "decode.acc_seg": 74.08394, "aux.loss_seg": 0.11195, "aux.acc_seg": 72.10836, "loss": 0.31521, "time": 0.51481} +{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 22404, "data_time": 0.00832, "decode.loss_seg": 0.21737, "decode.acc_seg": 75.15351, "aux.loss_seg": 0.11834, "aux.acc_seg": 73.09198, "loss": 0.33571, "time": 0.54114} +{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.22145, "decode.acc_seg": 71.80212, "aux.loss_seg": 0.12205, "aux.acc_seg": 69.61066, "loss": 0.3435, "time": 0.51957} +{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.22162, "decode.acc_seg": 73.46732, "aux.loss_seg": 0.11588, "aux.acc_seg": 71.69779, "loss": 0.33751, "time": 0.53711} +{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 22404, "data_time": 0.00864, "decode.loss_seg": 0.20128, "decode.acc_seg": 72.93493, "aux.loss_seg": 0.11107, "aux.acc_seg": 70.94775, "loss": 0.31235, "time": 0.52459} +{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21451, "decode.acc_seg": 72.70261, "aux.loss_seg": 0.11477, "aux.acc_seg": 70.89087, "loss": 0.32928, "time": 0.53138} +{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.20795, "decode.acc_seg": 74.8064, "aux.loss_seg": 0.11362, "aux.acc_seg": 72.83881, "loss": 0.32157, "time": 0.54719} +{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 22404, "data_time": 0.24917, "decode.loss_seg": 0.21599, "decode.acc_seg": 73.85629, "aux.loss_seg": 0.11446, "aux.acc_seg": 72.27907, "loss": 0.33045, "time": 0.76757} +{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 22404, "data_time": 0.00859, "decode.loss_seg": 0.21099, "decode.acc_seg": 72.63908, "aux.loss_seg": 0.11505, "aux.acc_seg": 70.61304, "loss": 0.32604, "time": 0.51242} +{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.22188, "decode.acc_seg": 74.30362, "aux.loss_seg": 0.11736, "aux.acc_seg": 72.47722, "loss": 0.33923, "time": 0.53027} +{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.2085, "decode.acc_seg": 74.38514, "aux.loss_seg": 0.11252, "aux.acc_seg": 72.55452, "loss": 0.32103, "time": 0.51042} +{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.20507, "decode.acc_seg": 73.85729, "aux.loss_seg": 0.11022, "aux.acc_seg": 72.04238, "loss": 0.31529, "time": 0.52958} +{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.19921, "decode.acc_seg": 73.45665, "aux.loss_seg": 0.1109, "aux.acc_seg": 71.33954, "loss": 0.31011, "time": 0.5223} +{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.19458, "decode.acc_seg": 74.00201, "aux.loss_seg": 0.10603, "aux.acc_seg": 72.11279, "loss": 0.30062, "time": 0.53971} +{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.21115, "decode.acc_seg": 73.81492, "aux.loss_seg": 0.11378, "aux.acc_seg": 71.96492, "loss": 0.32493, "time": 0.53101} +{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.21093, "decode.acc_seg": 74.48629, "aux.loss_seg": 0.11809, "aux.acc_seg": 72.30937, "loss": 0.32902, "time": 0.51452} +{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.21491, "decode.acc_seg": 73.44179, "aux.loss_seg": 0.11589, "aux.acc_seg": 71.44477, "loss": 0.3308, "time": 0.53553} +{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.21509, "decode.acc_seg": 72.51941, "aux.loss_seg": 0.11568, "aux.acc_seg": 70.63075, "loss": 0.33078, "time": 0.54543} +{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.2067, "decode.acc_seg": 73.26123, "aux.loss_seg": 0.1131, "aux.acc_seg": 71.39553, "loss": 0.3198, "time": 0.51823} +{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.20688, "decode.acc_seg": 73.87841, "aux.loss_seg": 0.10995, "aux.acc_seg": 72.04314, "loss": 0.31684, "time": 0.52126} +{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.21501, "decode.acc_seg": 73.7434, "aux.loss_seg": 0.1163, "aux.acc_seg": 71.7358, "loss": 0.33131, "time": 0.51402} +{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.20814, "decode.acc_seg": 74.09545, "aux.loss_seg": 0.1139, "aux.acc_seg": 72.10682, "loss": 0.32204, "time": 0.53144} +{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.20929, "decode.acc_seg": 73.2391, "aux.loss_seg": 0.11324, "aux.acc_seg": 71.28504, "loss": 0.32253, "time": 0.51262} +{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.20556, "decode.acc_seg": 74.43914, "aux.loss_seg": 0.11267, "aux.acc_seg": 72.56167, "loss": 0.31822, "time": 0.52254} +{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 22404, "data_time": 0.00842, "decode.loss_seg": 0.2075, "decode.acc_seg": 74.49231, "aux.loss_seg": 0.11373, "aux.acc_seg": 72.61929, "loss": 0.32123, "time": 0.52717} +{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.2162, "decode.acc_seg": 73.9344, "aux.loss_seg": 0.11571, "aux.acc_seg": 72.10932, "loss": 0.3319, "time": 0.5427} +{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.20384, "decode.acc_seg": 74.10047, "aux.loss_seg": 0.11044, "aux.acc_seg": 72.23956, "loss": 0.31428, "time": 0.53589} +{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20959, "decode.acc_seg": 72.25119, "aux.loss_seg": 0.11404, "aux.acc_seg": 70.18536, "loss": 0.32363, "time": 0.51224} +{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 22404, "data_time": 0.00883, "decode.loss_seg": 0.20801, "decode.acc_seg": 73.9871, "aux.loss_seg": 0.11327, "aux.acc_seg": 72.10044, "loss": 0.32128, "time": 0.51655} +{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.20413, "decode.acc_seg": 73.20649, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.42155, "loss": 0.31541, "time": 0.5122} +{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.21756, "decode.acc_seg": 74.65097, "aux.loss_seg": 0.11926, "aux.acc_seg": 72.50692, "loss": 0.33682, "time": 0.51299} +{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.20004, "decode.acc_seg": 74.44213, "aux.loss_seg": 0.10885, "aux.acc_seg": 72.66065, "loss": 0.30889, "time": 0.51576} +{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 22404, "data_time": 0.24742, "decode.loss_seg": 0.20713, "decode.acc_seg": 73.65362, "aux.loss_seg": 0.11275, "aux.acc_seg": 71.79741, "loss": 0.31988, "time": 0.74986} +{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.19726, "decode.acc_seg": 71.82176, "aux.loss_seg": 0.10826, "aux.acc_seg": 69.91336, "loss": 0.30552, "time": 0.51036} +{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.20376, "decode.acc_seg": 74.78865, "aux.loss_seg": 0.10918, "aux.acc_seg": 73.1439, "loss": 0.31294, "time": 0.51655} +{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.20734, "decode.acc_seg": 73.84269, "aux.loss_seg": 0.113, "aux.acc_seg": 71.89232, "loss": 0.32033, "time": 0.52913} +{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.20352, "decode.acc_seg": 73.50596, "aux.loss_seg": 0.11283, "aux.acc_seg": 71.58159, "loss": 0.31635, "time": 0.5125} +{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.20837, "decode.acc_seg": 74.25856, "aux.loss_seg": 0.11531, "aux.acc_seg": 72.19259, "loss": 0.32369, "time": 0.5145} +{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.2039, "decode.acc_seg": 74.77982, "aux.loss_seg": 0.10892, "aux.acc_seg": 73.08028, "loss": 0.31282, "time": 0.52668} +{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2136, "decode.acc_seg": 73.31543, "aux.loss_seg": 0.11566, "aux.acc_seg": 71.35513, "loss": 0.32926, "time": 0.51581} +{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19999, "decode.acc_seg": 74.25538, "aux.loss_seg": 0.1099, "aux.acc_seg": 72.37779, "loss": 0.30989, "time": 0.51326} +{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.20619, "decode.acc_seg": 74.85337, "aux.loss_seg": 0.11203, "aux.acc_seg": 72.92121, "loss": 0.31822, "time": 0.51621} +{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.20589, "decode.acc_seg": 73.59297, "aux.loss_seg": 0.11268, "aux.acc_seg": 71.55857, "loss": 0.31857, "time": 0.5133} +{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.19667, "decode.acc_seg": 73.62938, "aux.loss_seg": 0.10732, "aux.acc_seg": 71.83316, "loss": 0.30399, "time": 0.51863} +{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.20217, "decode.acc_seg": 73.12084, "aux.loss_seg": 0.112, "aux.acc_seg": 71.05859, "loss": 0.31416, "time": 0.51859} +{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.20292, "decode.acc_seg": 74.26612, "aux.loss_seg": 0.10964, "aux.acc_seg": 72.49426, "loss": 0.31256, "time": 0.51816} +{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.20361, "decode.acc_seg": 74.63518, "aux.loss_seg": 0.1136, "aux.acc_seg": 72.56474, "loss": 0.31722, "time": 0.51083} +{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19912, "decode.acc_seg": 73.49852, "aux.loss_seg": 0.10781, "aux.acc_seg": 71.67475, "loss": 0.30693, "time": 0.51115} +{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.20514, "decode.acc_seg": 73.97175, "aux.loss_seg": 0.11454, "aux.acc_seg": 71.92544, "loss": 0.31969, "time": 0.51241} +{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.19494, "decode.acc_seg": 73.83538, "aux.loss_seg": 0.11048, "aux.acc_seg": 71.64314, "loss": 0.30542, "time": 0.53627} +{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.19498, "decode.acc_seg": 73.46701, "aux.loss_seg": 0.1072, "aux.acc_seg": 71.76519, "loss": 0.30218, "time": 0.54802} +{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.20692, "decode.acc_seg": 72.47694, "aux.loss_seg": 0.11267, "aux.acc_seg": 70.5895, "loss": 0.3196, "time": 0.54305} +{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.20561, "decode.acc_seg": 74.83584, "aux.loss_seg": 0.11324, "aux.acc_seg": 72.94847, "loss": 0.31886, "time": 0.52646} +{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.20554, "decode.acc_seg": 73.36113, "aux.loss_seg": 0.10971, "aux.acc_seg": 71.49075, "loss": 0.31525, "time": 0.51363} +{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.22163, "decode.acc_seg": 75.07369, "aux.loss_seg": 0.12139, "aux.acc_seg": 72.86424, "loss": 0.34302, "time": 0.53424} +{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.20523, "decode.acc_seg": 73.64703, "aux.loss_seg": 0.11195, "aux.acc_seg": 71.71095, "loss": 0.31717, "time": 0.54769} +{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.20433, "decode.acc_seg": 74.3801, "aux.loss_seg": 0.11155, "aux.acc_seg": 72.50053, "loss": 0.31588, "time": 0.54499} +{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4638, "mAcc": 0.5932, "aAcc": 0.8184, "IoU.wall": 0.7589, "IoU.building": 0.8058, "IoU.sky": 0.9402, "IoU.floor": 0.8045, "IoU.tree": 0.7418, "IoU.ceiling": 0.829, "IoU.road": 0.8198, "IoU.bed ": 0.8789, "IoU.windowpane": 0.5924, "IoU.grass": 0.6495, "IoU.cabinet": 0.596, "IoU.sidewalk": 0.6333, "IoU.person": 0.7671, "IoU.earth": 0.356, "IoU.door": 0.4407, "IoU.table": 0.5468, "IoU.mountain": 0.587, "IoU.plant": 0.5351, "IoU.curtain": 0.716, "IoU.chair": 0.531, "IoU.car": 0.8233, "IoU.water": 0.4832, "IoU.painting": 0.7032, "IoU.sofa": 0.5923, "IoU.shelf": 0.4455, "IoU.house": 0.4606, "IoU.sea": 0.5684, "IoU.mirror": 0.6616, "IoU.rug": 0.5597, "IoU.field": 0.2605, "IoU.armchair": 0.4093, "IoU.seat": 0.6211, "IoU.fence": 0.4347, "IoU.desk": 0.4481, "IoU.rock": 0.4604, "IoU.wardrobe": 0.5008, "IoU.lamp": 0.5867, "IoU.bathtub": 0.7258, "IoU.railing": 0.3091, "IoU.cushion": 0.5347, "IoU.base": 0.2822, "IoU.box": 0.2557, "IoU.column": 0.4571, "IoU.signboard": 0.3679, "IoU.chest of drawers": 0.3919, "IoU.counter": 0.2239, "IoU.sand": 0.4502, "IoU.sink": 0.681, "IoU.skyscraper": 0.6466, "IoU.fireplace": NaN, "IoU.refrigerator": 0.717, "IoU.grandstand": 0.4254, "IoU.path": 0.1964, "IoU.stairs": 0.2988, "IoU.runway": 0.7312, "IoU.case": 0.5303, "IoU.pool table": 0.9083, "IoU.pillow": 0.5442, "IoU.screen door": 0.6595, "IoU.stairway": 0.32, "IoU.river": 0.0771, "IoU.bridge": 0.6418, "IoU.bookcase": 0.4159, "IoU.blind": NaN, "IoU.coffee table": 0.4926, "IoU.toilet": 0.8199, "IoU.flower": 0.4324, "IoU.book": 0.4464, "IoU.hill": 0.0603, "IoU.bench": 0.5117, "IoU.countertop": 0.4847, "IoU.stove": 0.6865, "IoU.palm": 0.4687, "IoU.kitchen island": 0.3096, "IoU.computer": 0.5923, "IoU.swivel chair": 0.4215, "IoU.boat": 0.4351, "IoU.bar": 0.2441, "IoU.arcade machine": 0.6948, "IoU.hovel": 0.346, "IoU.bus": 0.831, "IoU.towel": 0.5344, "IoU.light": 0.5433, "IoU.truck": 0.3216, "IoU.tower": 0.095, "IoU.chandelier": 0.6305, "IoU.awning": 0.2283, "IoU.streetlight": 0.2116, "IoU.booth": 0.4981, "IoU.television receiver": NaN, "IoU.airplane": 0.6018, "IoU.dirt track": 0.1075, "IoU.apparel": 0.2435, "IoU.pole": 0.1465, "IoU.land": 0.0451, "IoU.bannister": 0.0927, "IoU.escalator": 0.5419, "IoU.ottoman": 0.4128, "IoU.bottle": NaN, "IoU.buffet": 0.481, "IoU.poster": 0.3543, "IoU.stage": 0.1614, "IoU.van": 0.3852, "IoU.ship": 0.6155, "IoU.fountain": 0.1971, "IoU.conveyer belt": 0.7222, "IoU.canopy": 0.116, "IoU.washer": 0.735, "IoU.plaything": 0.1803, "IoU.swimming pool": 0.5475, "IoU.stool": 0.4097, "IoU.barrel": 0.5449, "IoU.basket": 0.3126, "IoU.waterfall": 0.4241, "IoU.tent": 0.7725, "IoU.bag": 0.1277, "IoU.minibike": 0.7093, "IoU.cradle": NaN, "IoU.oven": 0.3133, "IoU.ball": 0.363, "IoU.food": 0.3654, "IoU.step": 0.0571, "IoU.tank": 0.5246, "IoU.trade name": 0.2832, "IoU.microwave": 0.6373, "IoU.pot": 0.4624, "IoU.animal": NaN, "IoU.bicycle": 0.5206, "IoU.lake": 0.5866, "IoU.dishwasher": 0.5067, "IoU.screen": 0.6218, "IoU.blanket": 0.0656, "IoU.sculpture": 0.5217, "IoU.hood": 0.5429, "IoU.sconce": 0.4276, "IoU.vase": 0.3553, "IoU.traffic light": 0.2727, "IoU.tray": 0.0714, "IoU.ashcan": 0.3904, "IoU.fan": 0.5453, "IoU.pier": 0.2932, "IoU.crt screen": 0.0371, "IoU.plate": 0.509, "IoU.monitor": 0.0265, "IoU.bulletin board": 0.4027, "IoU.shower": 0.023, "IoU.radiator": 0.5525, "IoU.glass": 0.1177, "IoU.clock": 0.2527, "IoU.flag": 0.4698, "Acc.wall": 0.8687, "Acc.building": 0.9021, "Acc.sky": 0.971, "Acc.floor": 0.897, "Acc.tree": 0.8807, "Acc.ceiling": 0.9228, "Acc.road": 0.9039, "Acc.bed ": 0.9452, "Acc.windowpane": 0.7654, "Acc.grass": 0.804, "Acc.cabinet": 0.7353, "Acc.sidewalk": 0.7811, "Acc.person": 0.9087, "Acc.earth": 0.459, "Acc.door": 0.5541, "Acc.table": 0.7048, "Acc.mountain": 0.7304, "Acc.plant": 0.6563, "Acc.curtain": 0.852, "Acc.chair": 0.6733, "Acc.car": 0.9177, "Acc.water": 0.6356, "Acc.painting": 0.8131, "Acc.sofa": 0.7065, "Acc.shelf": 0.6253, "Acc.house": 0.6398, "Acc.sea": 0.8024, "Acc.mirror": 0.7527, "Acc.rug": 0.6479, "Acc.field": 0.4763, "Acc.armchair": 0.6939, "Acc.seat": 0.8346, "Acc.fence": 0.6446, "Acc.desk": 0.6465, "Acc.rock": 0.7396, "Acc.wardrobe": 0.6307, "Acc.lamp": 0.7264, "Acc.bathtub": 0.812, "Acc.railing": 0.479, "Acc.cushion": 0.717, "Acc.base": 0.4714, "Acc.box": 0.3235, "Acc.column": 0.6229, "Acc.signboard": 0.5149, "Acc.chest of drawers": 0.5611, "Acc.counter": 0.2905, "Acc.sand": 0.7314, "Acc.sink": 0.7776, "Acc.skyscraper": 0.8781, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8559, "Acc.grandstand": 0.6174, "Acc.path": 0.2727, "Acc.stairs": 0.3813, "Acc.runway": 0.9571, "Acc.case": 0.6427, "Acc.pool table": 0.9614, "Acc.pillow": 0.7128, "Acc.screen door": 0.7748, "Acc.stairway": 0.3669, "Acc.river": 0.1973, "Acc.bridge": 0.8537, "Acc.bookcase": 0.5205, "Acc.blind": NaN, "Acc.coffee table": 0.7684, "Acc.toilet": 0.8891, "Acc.flower": 0.5419, "Acc.book": 0.6574, "Acc.hill": 0.0896, "Acc.bench": 0.5959, "Acc.countertop": 0.6424, "Acc.stove": 0.8064, "Acc.palm": 0.7595, "Acc.kitchen island": 0.6457, "Acc.computer": 0.7117, "Acc.swivel chair": 0.6398, "Acc.boat": 0.5193, "Acc.bar": 0.3072, "Acc.arcade machine": 0.7426, "Acc.hovel": 0.3621, "Acc.bus": 0.9565, "Acc.towel": 0.6914, "Acc.light": 0.6325, "Acc.truck": 0.4779, "Acc.tower": 0.1263, "Acc.chandelier": 0.8139, "Acc.awning": 0.287, "Acc.streetlight": 0.282, "Acc.booth": 0.6127, "Acc.television receiver": NaN, "Acc.airplane": 0.6745, "Acc.dirt track": 0.2069, "Acc.apparel": 0.406, "Acc.pole": 0.181, "Acc.land": 0.0522, "Acc.bannister": 0.1142, "Acc.escalator": 0.8258, "Acc.ottoman": 0.5678, "Acc.bottle": NaN, "Acc.buffet": 0.6114, "Acc.poster": 0.5796, "Acc.stage": 0.2797, "Acc.van": 0.5376, "Acc.ship": 0.8822, "Acc.fountain": 0.2107, "Acc.conveyer belt": 0.8452, "Acc.canopy": 0.1702, "Acc.washer": 0.7764, "Acc.plaything": 0.2853, "Acc.swimming pool": 0.8305, "Acc.stool": 0.517, "Acc.barrel": 0.633, "Acc.basket": 0.4022, "Acc.waterfall": 0.6038, "Acc.tent": 0.9831, "Acc.bag": 0.1684, "Acc.minibike": 0.8816, "Acc.cradle": NaN, "Acc.oven": 0.465, "Acc.ball": 0.4232, "Acc.food": 0.4186, "Acc.step": 0.0643, "Acc.tank": 0.606, "Acc.trade name": 0.354, "Acc.microwave": 0.7545, "Acc.pot": 0.5168, "Acc.animal": NaN, "Acc.bicycle": 0.7423, "Acc.lake": 0.6226, "Acc.dishwasher": 0.6739, "Acc.screen": 0.8968, "Acc.blanket": 0.0731, "Acc.sculpture": 0.791, "Acc.hood": 0.6221, "Acc.sconce": 0.5699, "Acc.vase": 0.4772, "Acc.traffic light": 0.4076, "Acc.tray": 0.146, "Acc.ashcan": 0.581, "Acc.fan": 0.7345, "Acc.pier": 0.4909, "Acc.crt screen": 0.117, "Acc.plate": 0.6129, "Acc.monitor": 0.0296, "Acc.bulletin board": 0.6466, "Acc.shower": 0.0393, "Acc.radiator": 0.6273, "Acc.glass": 0.1261, "Acc.clock": 0.3177, "Acc.flag": 0.5467} +{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 22404, "data_time": 1.59913, "decode.loss_seg": 0.19956, "decode.acc_seg": 73.45124, "aux.loss_seg": 0.10959, "aux.acc_seg": 71.58858, "loss": 0.30915, "time": 2.11679} +{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.21189, "decode.acc_seg": 73.70144, "aux.loss_seg": 0.11349, "aux.acc_seg": 71.8863, "loss": 0.32538, "time": 0.50982} +{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.20796, "decode.acc_seg": 74.03945, "aux.loss_seg": 0.1114, "aux.acc_seg": 72.29302, "loss": 0.31936, "time": 0.51789} +{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.20909, "decode.acc_seg": 75.45033, "aux.loss_seg": 0.11385, "aux.acc_seg": 73.52757, "loss": 0.32294, "time": 0.50992} +{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.20198, "decode.acc_seg": 75.40123, "aux.loss_seg": 0.11275, "aux.acc_seg": 73.3649, "loss": 0.31474, "time": 0.51354} +{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.21588, "decode.acc_seg": 74.95586, "aux.loss_seg": 0.11636, "aux.acc_seg": 73.08674, "loss": 0.33224, "time": 0.5176} +{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.19082, "decode.acc_seg": 74.94228, "aux.loss_seg": 0.10619, "aux.acc_seg": 72.93409, "loss": 0.29701, "time": 0.5265} +{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.19737, "decode.acc_seg": 72.83772, "aux.loss_seg": 0.10648, "aux.acc_seg": 71.08758, "loss": 0.30384, "time": 0.52197} +{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.19199, "decode.acc_seg": 73.95971, "aux.loss_seg": 0.10644, "aux.acc_seg": 72.04362, "loss": 0.29843, "time": 0.51013} +{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.21518, "decode.acc_seg": 73.38779, "aux.loss_seg": 0.11641, "aux.acc_seg": 71.45464, "loss": 0.33159, "time": 0.51581} +{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21527, "decode.acc_seg": 74.42348, "aux.loss_seg": 0.11688, "aux.acc_seg": 72.36922, "loss": 0.33215, "time": 0.51389} +{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 22404, "data_time": 0.00669, "decode.loss_seg": 0.20477, "decode.acc_seg": 73.03691, "aux.loss_seg": 0.11423, "aux.acc_seg": 70.98375, "loss": 0.319, "time": 0.51522} +{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.20057, "decode.acc_seg": 73.34983, "aux.loss_seg": 0.10925, "aux.acc_seg": 71.43331, "loss": 0.30982, "time": 0.50772} +{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.20812, "decode.acc_seg": 73.75257, "aux.loss_seg": 0.1116, "aux.acc_seg": 72.08611, "loss": 0.31972, "time": 0.50872} +{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.20613, "decode.acc_seg": 73.27466, "aux.loss_seg": 0.10955, "aux.acc_seg": 71.43902, "loss": 0.31568, "time": 0.51015} +{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.19553, "decode.acc_seg": 74.48412, "aux.loss_seg": 0.11011, "aux.acc_seg": 72.35518, "loss": 0.30564, "time": 0.51007} +{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.21592, "decode.acc_seg": 75.19135, "aux.loss_seg": 0.11772, "aux.acc_seg": 73.23974, "loss": 0.33364, "time": 0.525} +{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.19387, "decode.acc_seg": 74.48487, "aux.loss_seg": 0.10632, "aux.acc_seg": 72.5681, "loss": 0.30019, "time": 0.53179} +{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.21216, "decode.acc_seg": 73.9811, "aux.loss_seg": 0.11456, "aux.acc_seg": 72.08988, "loss": 0.32672, "time": 0.52247} +{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.20476, "decode.acc_seg": 73.89974, "aux.loss_seg": 0.11207, "aux.acc_seg": 72.04274, "loss": 0.31684, "time": 0.52281} +{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.20139, "decode.acc_seg": 72.63931, "aux.loss_seg": 0.11305, "aux.acc_seg": 70.54166, "loss": 0.31444, "time": 0.53839} +{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19916, "decode.acc_seg": 73.00158, "aux.loss_seg": 0.10831, "aux.acc_seg": 71.12681, "loss": 0.30746, "time": 0.52435} +{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.19402, "decode.acc_seg": 74.58766, "aux.loss_seg": 0.10525, "aux.acc_seg": 72.83125, "loss": 0.29927, "time": 0.5098} +{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.20397, "decode.acc_seg": 72.70158, "aux.loss_seg": 0.11005, "aux.acc_seg": 70.92199, "loss": 0.31402, "time": 0.50746} +{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.201, "decode.acc_seg": 74.36793, "aux.loss_seg": 0.10833, "aux.acc_seg": 72.66703, "loss": 0.30933, "time": 0.50441} +{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 22404, "data_time": 0.24757, "decode.loss_seg": 0.19854, "decode.acc_seg": 74.19294, "aux.loss_seg": 0.11173, "aux.acc_seg": 72.03588, "loss": 0.31027, "time": 0.74829} +{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.20308, "decode.acc_seg": 75.35937, "aux.loss_seg": 0.11203, "aux.acc_seg": 73.35344, "loss": 0.31511, "time": 0.51115} +{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 22404, "data_time": 0.00668, "decode.loss_seg": 0.20342, "decode.acc_seg": 73.64974, "aux.loss_seg": 0.11284, "aux.acc_seg": 71.50688, "loss": 0.31626, "time": 0.51162} +{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.20645, "decode.acc_seg": 73.76912, "aux.loss_seg": 0.1151, "aux.acc_seg": 71.68702, "loss": 0.32155, "time": 0.51211} +{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.20644, "decode.acc_seg": 73.62833, "aux.loss_seg": 0.11382, "aux.acc_seg": 71.56774, "loss": 0.32026, "time": 0.51465} +{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.20166, "decode.acc_seg": 74.04495, "aux.loss_seg": 0.1118, "aux.acc_seg": 72.13984, "loss": 0.31346, "time": 0.51095} +{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.20876, "decode.acc_seg": 74.38657, "aux.loss_seg": 0.1153, "aux.acc_seg": 72.43955, "loss": 0.32406, "time": 0.53057} +{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.21441, "decode.acc_seg": 74.06857, "aux.loss_seg": 0.1153, "aux.acc_seg": 72.15807, "loss": 0.32971, "time": 0.51988} +{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.20611, "decode.acc_seg": 73.40768, "aux.loss_seg": 0.11078, "aux.acc_seg": 71.58688, "loss": 0.31689, "time": 0.51517} +{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 22404, "data_time": 0.0066, "decode.loss_seg": 0.20901, "decode.acc_seg": 73.48156, "aux.loss_seg": 0.11198, "aux.acc_seg": 71.75394, "loss": 0.32099, "time": 0.51501} +{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.20858, "decode.acc_seg": 73.63813, "aux.loss_seg": 0.11436, "aux.acc_seg": 71.72825, "loss": 0.32294, "time": 0.51264} +{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.20299, "decode.acc_seg": 73.53922, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.64031, "loss": 0.31426, "time": 0.5156} +{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.20275, "decode.acc_seg": 75.28129, "aux.loss_seg": 0.11159, "aux.acc_seg": 73.25546, "loss": 0.31434, "time": 0.51231} +{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.21209, "decode.acc_seg": 74.35866, "aux.loss_seg": 0.11713, "aux.acc_seg": 72.34661, "loss": 0.32922, "time": 0.50959} +{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.22538, "decode.acc_seg": 73.8965, "aux.loss_seg": 0.11861, "aux.acc_seg": 72.107, "loss": 0.344, "time": 0.51848} +{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.21145, "decode.acc_seg": 73.59885, "aux.loss_seg": 0.11342, "aux.acc_seg": 71.73379, "loss": 0.32487, "time": 0.53027} +{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.19909, "decode.acc_seg": 74.21876, "aux.loss_seg": 0.10876, "aux.acc_seg": 72.36673, "loss": 0.30785, "time": 0.51509} +{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.2052, "decode.acc_seg": 74.02928, "aux.loss_seg": 0.11288, "aux.acc_seg": 72.04017, "loss": 0.31809, "time": 0.50858} +{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.2008, "decode.acc_seg": 73.78009, "aux.loss_seg": 0.11058, "aux.acc_seg": 71.81965, "loss": 0.31139, "time": 0.5121} +{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.18955, "decode.acc_seg": 74.12144, "aux.loss_seg": 0.10446, "aux.acc_seg": 72.27484, "loss": 0.29401, "time": 0.51925} +{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.20743, "decode.acc_seg": 73.24156, "aux.loss_seg": 0.11078, "aux.acc_seg": 71.50965, "loss": 0.31821, "time": 0.53527} +{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19311, "decode.acc_seg": 72.10737, "aux.loss_seg": 0.10459, "aux.acc_seg": 70.32554, "loss": 0.2977, "time": 0.54356} +{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 22404, "data_time": 0.00814, "decode.loss_seg": 0.20908, "decode.acc_seg": 74.53992, "aux.loss_seg": 0.11408, "aux.acc_seg": 72.59028, "loss": 0.32316, "time": 0.53794} +{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.20298, "decode.acc_seg": 73.72063, "aux.loss_seg": 0.11398, "aux.acc_seg": 71.67452, "loss": 0.31696, "time": 0.51554} +{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.21212, "decode.acc_seg": 73.56585, "aux.loss_seg": 0.11435, "aux.acc_seg": 71.68862, "loss": 0.32648, "time": 0.51148} +{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 22404, "data_time": 0.24931, "decode.loss_seg": 0.20216, "decode.acc_seg": 73.11844, "aux.loss_seg": 0.1118, "aux.acc_seg": 71.03593, "loss": 0.31395, "time": 0.7506} +{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.19443, "decode.acc_seg": 74.44001, "aux.loss_seg": 0.10914, "aux.acc_seg": 72.41807, "loss": 0.30357, "time": 0.51031} +{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 22404, "data_time": 0.0065, "decode.loss_seg": 0.2017, "decode.acc_seg": 74.59144, "aux.loss_seg": 0.11224, "aux.acc_seg": 72.58828, "loss": 0.31394, "time": 0.50925} +{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.20456, "decode.acc_seg": 73.3905, "aux.loss_seg": 0.11132, "aux.acc_seg": 71.51839, "loss": 0.31588, "time": 0.51106} +{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.19128, "decode.acc_seg": 74.18594, "aux.loss_seg": 0.10612, "aux.acc_seg": 72.25741, "loss": 0.2974, "time": 0.50759} +{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.20367, "decode.acc_seg": 73.143, "aux.loss_seg": 0.11116, "aux.acc_seg": 71.26768, "loss": 0.31483, "time": 0.52543} +{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.18424, "decode.acc_seg": 73.88609, "aux.loss_seg": 0.10307, "aux.acc_seg": 71.99727, "loss": 0.28731, "time": 0.51198} +{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.19648, "decode.acc_seg": 74.1349, "aux.loss_seg": 0.10809, "aux.acc_seg": 72.2519, "loss": 0.30457, "time": 0.5116} +{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 22404, "data_time": 0.00674, "decode.loss_seg": 0.19643, "decode.acc_seg": 74.59348, "aux.loss_seg": 0.10812, "aux.acc_seg": 72.6899, "loss": 0.30456, "time": 0.51093} +{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.20571, "decode.acc_seg": 72.49812, "aux.loss_seg": 0.11132, "aux.acc_seg": 70.63658, "loss": 0.31703, "time": 0.51715} +{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.22393, "decode.acc_seg": 73.90244, "aux.loss_seg": 0.12182, "aux.acc_seg": 71.80348, "loss": 0.34575, "time": 0.51585} +{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.20226, "decode.acc_seg": 74.86018, "aux.loss_seg": 0.11107, "aux.acc_seg": 72.76507, "loss": 0.31333, "time": 0.52431} +{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.20326, "decode.acc_seg": 72.58241, "aux.loss_seg": 0.11394, "aux.acc_seg": 70.42835, "loss": 0.3172, "time": 0.52476} +{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.20831, "decode.acc_seg": 73.64931, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.74664, "loss": 0.32216, "time": 0.52379} +{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.20794, "decode.acc_seg": 72.78776, "aux.loss_seg": 0.11217, "aux.acc_seg": 70.89172, "loss": 0.32011, "time": 0.53541} +{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.19661, "decode.acc_seg": 74.10881, "aux.loss_seg": 0.10639, "aux.acc_seg": 72.27099, "loss": 0.303, "time": 0.53517} +{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.21276, "decode.acc_seg": 74.27038, "aux.loss_seg": 0.11468, "aux.acc_seg": 72.39819, "loss": 0.32744, "time": 0.51397} +{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.19338, "decode.acc_seg": 73.48831, "aux.loss_seg": 0.10721, "aux.acc_seg": 71.40662, "loss": 0.30059, "time": 0.52768} +{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.20006, "decode.acc_seg": 75.96291, "aux.loss_seg": 0.11218, "aux.acc_seg": 73.76248, "loss": 0.31224, "time": 0.52192} +{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.20681, "decode.acc_seg": 73.80357, "aux.loss_seg": 0.11199, "aux.acc_seg": 71.96026, "loss": 0.3188, "time": 0.53657} +{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.20515, "decode.acc_seg": 73.67295, "aux.loss_seg": 0.11134, "aux.acc_seg": 71.85262, "loss": 0.31649, "time": 0.53762} +{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.20759, "decode.acc_seg": 73.20889, "aux.loss_seg": 0.11371, "aux.acc_seg": 71.29234, "loss": 0.3213, "time": 0.53688} +{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.20723, "decode.acc_seg": 73.35355, "aux.loss_seg": 0.11199, "aux.acc_seg": 71.51653, "loss": 0.31922, "time": 0.5198} +{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 22404, "data_time": 0.00617, "decode.loss_seg": 0.19357, "decode.acc_seg": 74.65176, "aux.loss_seg": 0.10699, "aux.acc_seg": 72.69015, "loss": 0.30056, "time": 0.52212} +{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.19626, "decode.acc_seg": 74.31098, "aux.loss_seg": 0.10686, "aux.acc_seg": 72.53621, "loss": 0.30312, "time": 0.52042} +{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 22404, "data_time": 0.24808, "decode.loss_seg": 0.20137, "decode.acc_seg": 74.32589, "aux.loss_seg": 0.11157, "aux.acc_seg": 72.30373, "loss": 0.31293, "time": 0.76267} +{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.19736, "decode.acc_seg": 74.99789, "aux.loss_seg": 0.10679, "aux.acc_seg": 73.13228, "loss": 0.30415, "time": 0.51562} +{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.19896, "decode.acc_seg": 74.98279, "aux.loss_seg": 0.10932, "aux.acc_seg": 73.0225, "loss": 0.30828, "time": 0.52676} +{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.21689, "decode.acc_seg": 73.27898, "aux.loss_seg": 0.11878, "aux.acc_seg": 71.15076, "loss": 0.33567, "time": 0.53461} +{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.20635, "decode.acc_seg": 74.88656, "aux.loss_seg": 0.11496, "aux.acc_seg": 72.80307, "loss": 0.32131, "time": 0.51129} +{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.19334, "decode.acc_seg": 74.7867, "aux.loss_seg": 0.10875, "aux.acc_seg": 72.7867, "loss": 0.30209, "time": 0.5318} +{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.20416, "decode.acc_seg": 73.43425, "aux.loss_seg": 0.11081, "aux.acc_seg": 71.53805, "loss": 0.31496, "time": 0.52354} +{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.20518, "decode.acc_seg": 74.35223, "aux.loss_seg": 0.11384, "aux.acc_seg": 72.30808, "loss": 0.31902, "time": 0.52775} +{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.20357, "decode.acc_seg": 75.6449, "aux.loss_seg": 0.1089, "aux.acc_seg": 73.93868, "loss": 0.31247, "time": 0.52177} +{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.20658, "decode.acc_seg": 73.84231, "aux.loss_seg": 0.11201, "aux.acc_seg": 72.05089, "loss": 0.31859, "time": 0.5096} +{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.20535, "decode.acc_seg": 75.34656, "aux.loss_seg": 0.1129, "aux.acc_seg": 73.45399, "loss": 0.31825, "time": 0.53468} +{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.19991, "decode.acc_seg": 73.92466, "aux.loss_seg": 0.11027, "aux.acc_seg": 71.95607, "loss": 0.31018, "time": 0.51932} +{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.20097, "decode.acc_seg": 75.01722, "aux.loss_seg": 0.1097, "aux.acc_seg": 73.20687, "loss": 0.31068, "time": 0.5202} +{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19121, "decode.acc_seg": 74.03481, "aux.loss_seg": 0.10601, "aux.acc_seg": 72.16505, "loss": 0.29721, "time": 0.52208} +{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.19118, "decode.acc_seg": 74.42785, "aux.loss_seg": 0.10418, "aux.acc_seg": 72.59837, "loss": 0.29536, "time": 0.51742} +{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.19587, "decode.acc_seg": 73.90532, "aux.loss_seg": 0.10872, "aux.acc_seg": 71.98172, "loss": 0.30458, "time": 0.51198} +{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.20936, "decode.acc_seg": 74.62897, "aux.loss_seg": 0.1132, "aux.acc_seg": 72.70439, "loss": 0.32256, "time": 0.52484} +{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19979, "decode.acc_seg": 73.82601, "aux.loss_seg": 0.10893, "aux.acc_seg": 71.93899, "loss": 0.30873, "time": 0.51294} +{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.19227, "decode.acc_seg": 72.7682, "aux.loss_seg": 0.10541, "aux.acc_seg": 71.00202, "loss": 0.29768, "time": 0.51402} +{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.2025, "decode.acc_seg": 72.60879, "aux.loss_seg": 0.11157, "aux.acc_seg": 70.53858, "loss": 0.31407, "time": 0.51015} +{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.19505, "decode.acc_seg": 73.58674, "aux.loss_seg": 0.10873, "aux.acc_seg": 71.68738, "loss": 0.30378, "time": 0.51721} +{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.19773, "decode.acc_seg": 74.01422, "aux.loss_seg": 0.10721, "aux.acc_seg": 72.20844, "loss": 0.30493, "time": 0.54147} +{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.20416, "decode.acc_seg": 74.6788, "aux.loss_seg": 0.11099, "aux.acc_seg": 72.80231, "loss": 0.31516, "time": 0.53566} +{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.21036, "decode.acc_seg": 73.87586, "aux.loss_seg": 0.11579, "aux.acc_seg": 71.81378, "loss": 0.32615, "time": 0.52764} +{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.2071, "decode.acc_seg": 74.38694, "aux.loss_seg": 0.1132, "aux.acc_seg": 72.5188, "loss": 0.32031, "time": 0.51297} +{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 22404, "data_time": 0.25619, "decode.loss_seg": 0.21624, "decode.acc_seg": 75.10598, "aux.loss_seg": 0.11537, "aux.acc_seg": 73.25785, "loss": 0.33162, "time": 0.77492} +{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.19951, "decode.acc_seg": 73.53042, "aux.loss_seg": 0.11084, "aux.acc_seg": 71.63578, "loss": 0.31034, "time": 0.52196} +{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.20297, "decode.acc_seg": 71.96546, "aux.loss_seg": 0.1149, "aux.acc_seg": 69.88301, "loss": 0.31787, "time": 0.51951} +{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.19365, "decode.acc_seg": 74.83409, "aux.loss_seg": 0.10893, "aux.acc_seg": 72.86913, "loss": 0.30258, "time": 0.54368} +{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.19834, "decode.acc_seg": 74.48716, "aux.loss_seg": 0.10685, "aux.acc_seg": 72.73144, "loss": 0.30519, "time": 0.53599} +{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19004, "decode.acc_seg": 73.81616, "aux.loss_seg": 0.10556, "aux.acc_seg": 71.9067, "loss": 0.2956, "time": 0.51556} +{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19583, "decode.acc_seg": 73.54248, "aux.loss_seg": 0.10655, "aux.acc_seg": 71.69694, "loss": 0.30238, "time": 0.51768} +{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.20948, "decode.acc_seg": 74.78864, "aux.loss_seg": 0.11652, "aux.acc_seg": 72.72686, "loss": 0.32601, "time": 0.52074} +{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.19908, "decode.acc_seg": 74.16222, "aux.loss_seg": 0.10832, "aux.acc_seg": 72.39855, "loss": 0.3074, "time": 0.53143} +{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.2138, "decode.acc_seg": 74.74957, "aux.loss_seg": 0.11706, "aux.acc_seg": 72.663, "loss": 0.33085, "time": 0.52468} +{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.21075, "decode.acc_seg": 74.38106, "aux.loss_seg": 0.11229, "aux.acc_seg": 72.67735, "loss": 0.32304, "time": 0.54374} +{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.21023, "decode.acc_seg": 75.2953, "aux.loss_seg": 0.11638, "aux.acc_seg": 73.32785, "loss": 0.32661, "time": 0.54407} +{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.20512, "decode.acc_seg": 74.08515, "aux.loss_seg": 0.11411, "aux.acc_seg": 72.03952, "loss": 0.31924, "time": 0.54455} +{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.21791, "decode.acc_seg": 72.2634, "aux.loss_seg": 0.12163, "aux.acc_seg": 70.04696, "loss": 0.33954, "time": 0.51308} +{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.19665, "decode.acc_seg": 73.70869, "aux.loss_seg": 0.10851, "aux.acc_seg": 71.73483, "loss": 0.30516, "time": 0.51541} +{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.20088, "decode.acc_seg": 73.8038, "aux.loss_seg": 0.1108, "aux.acc_seg": 71.88495, "loss": 0.31167, "time": 0.51611} +{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.19991, "decode.acc_seg": 75.01234, "aux.loss_seg": 0.10959, "aux.acc_seg": 73.16902, "loss": 0.3095, "time": 0.51554} +{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.20888, "decode.acc_seg": 73.05611, "aux.loss_seg": 0.11429, "aux.acc_seg": 71.0922, "loss": 0.32317, "time": 0.51177} +{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19681, "decode.acc_seg": 75.14843, "aux.loss_seg": 0.10835, "aux.acc_seg": 73.20844, "loss": 0.30516, "time": 0.50945} +{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19781, "decode.acc_seg": 74.04628, "aux.loss_seg": 0.10676, "aux.acc_seg": 72.12057, "loss": 0.30457, "time": 0.51102} +{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.19721, "decode.acc_seg": 73.3588, "aux.loss_seg": 0.10781, "aux.acc_seg": 71.44146, "loss": 0.30502, "time": 0.5086} +{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.18959, "decode.acc_seg": 74.24608, "aux.loss_seg": 0.10339, "aux.acc_seg": 72.40924, "loss": 0.29298, "time": 0.52423} +{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.20636, "decode.acc_seg": 74.96485, "aux.loss_seg": 0.11202, "aux.acc_seg": 72.92014, "loss": 0.31839, "time": 0.52244} +{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.1971, "decode.acc_seg": 74.54725, "aux.loss_seg": 0.10887, "aux.acc_seg": 72.63767, "loss": 0.30597, "time": 0.53295} +{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.20316, "decode.acc_seg": 74.29551, "aux.loss_seg": 0.10979, "aux.acc_seg": 72.41459, "loss": 0.31295, "time": 0.513} +{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.19763, "decode.acc_seg": 73.30722, "aux.loss_seg": 0.10838, "aux.acc_seg": 71.46711, "loss": 0.30601, "time": 0.54052} +{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 22404, "data_time": 0.23999, "decode.loss_seg": 0.19008, "decode.acc_seg": 75.5797, "aux.loss_seg": 0.1038, "aux.acc_seg": 73.78713, "loss": 0.29388, "time": 0.76408} +{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19903, "decode.acc_seg": 73.05854, "aux.loss_seg": 0.11017, "aux.acc_seg": 70.96748, "loss": 0.3092, "time": 0.50879} +{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19326, "decode.acc_seg": 73.87537, "aux.loss_seg": 0.10576, "aux.acc_seg": 72.15777, "loss": 0.29902, "time": 0.52764} +{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.20117, "decode.acc_seg": 74.66305, "aux.loss_seg": 0.10974, "aux.acc_seg": 72.7752, "loss": 0.3109, "time": 0.50995} +{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19448, "decode.acc_seg": 73.43369, "aux.loss_seg": 0.10729, "aux.acc_seg": 71.56585, "loss": 0.30177, "time": 0.51073} +{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19876, "decode.acc_seg": 75.4817, "aux.loss_seg": 0.10894, "aux.acc_seg": 73.63218, "loss": 0.30771, "time": 0.50877} +{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19409, "decode.acc_seg": 74.87716, "aux.loss_seg": 0.10682, "aux.acc_seg": 72.95344, "loss": 0.3009, "time": 0.51014} +{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1993, "decode.acc_seg": 72.99404, "aux.loss_seg": 0.10959, "aux.acc_seg": 71.1158, "loss": 0.30888, "time": 0.51557} +{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.18873, "decode.acc_seg": 73.4331, "aux.loss_seg": 0.10211, "aux.acc_seg": 71.68024, "loss": 0.29084, "time": 0.5159} +{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18836, "decode.acc_seg": 72.77411, "aux.loss_seg": 0.1045, "aux.acc_seg": 70.95127, "loss": 0.29286, "time": 0.51494} +{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19471, "decode.acc_seg": 75.02168, "aux.loss_seg": 0.10537, "aux.acc_seg": 73.19819, "loss": 0.30008, "time": 0.51424} +{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.20824, "decode.acc_seg": 74.50093, "aux.loss_seg": 0.11115, "aux.acc_seg": 72.70862, "loss": 0.31939, "time": 0.50974} +{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.20656, "decode.acc_seg": 73.73366, "aux.loss_seg": 0.11239, "aux.acc_seg": 71.8245, "loss": 0.31895, "time": 0.51726} +{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.19899, "decode.acc_seg": 71.55304, "aux.loss_seg": 0.11004, "aux.acc_seg": 69.58429, "loss": 0.30903, "time": 0.51933} +{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.20756, "decode.acc_seg": 74.09842, "aux.loss_seg": 0.11263, "aux.acc_seg": 72.18804, "loss": 0.32019, "time": 0.51254} +{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.19724, "decode.acc_seg": 74.26684, "aux.loss_seg": 0.11025, "aux.acc_seg": 72.10358, "loss": 0.30749, "time": 0.51998} +{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.20159, "decode.acc_seg": 74.03977, "aux.loss_seg": 0.10976, "aux.acc_seg": 72.21612, "loss": 0.31135, "time": 0.51569} +{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.20545, "decode.acc_seg": 74.22355, "aux.loss_seg": 0.11262, "aux.acc_seg": 72.29984, "loss": 0.31807, "time": 0.50911} +{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.2029, "decode.acc_seg": 74.21498, "aux.loss_seg": 0.11251, "aux.acc_seg": 72.11395, "loss": 0.31541, "time": 0.51443} +{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.19477, "decode.acc_seg": 73.89761, "aux.loss_seg": 0.10769, "aux.acc_seg": 71.97583, "loss": 0.30245, "time": 0.51204} +{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.1976, "decode.acc_seg": 73.92528, "aux.loss_seg": 0.11023, "aux.acc_seg": 71.93792, "loss": 0.30783, "time": 0.51563} +{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.1956, "decode.acc_seg": 74.43625, "aux.loss_seg": 0.10658, "aux.acc_seg": 72.45001, "loss": 0.30218, "time": 0.51197} +{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19793, "decode.acc_seg": 74.1697, "aux.loss_seg": 0.10918, "aux.acc_seg": 72.26948, "loss": 0.30711, "time": 0.52533} +{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.2043, "decode.acc_seg": 73.08969, "aux.loss_seg": 0.11352, "aux.acc_seg": 71.13115, "loss": 0.31782, "time": 0.5132} +{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.2011, "decode.acc_seg": 75.15752, "aux.loss_seg": 0.11051, "aux.acc_seg": 73.17073, "loss": 0.3116, "time": 0.51306} +{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 22404, "data_time": 0.24568, "decode.loss_seg": 0.19597, "decode.acc_seg": 74.6354, "aux.loss_seg": 0.10876, "aux.acc_seg": 72.64859, "loss": 0.30473, "time": 0.74862} +{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.19206, "decode.acc_seg": 75.52929, "aux.loss_seg": 0.10652, "aux.acc_seg": 73.52675, "loss": 0.29858, "time": 0.51304} +{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.20159, "decode.acc_seg": 74.94195, "aux.loss_seg": 0.1078, "aux.acc_seg": 73.19113, "loss": 0.30939, "time": 0.51443} +{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.20093, "decode.acc_seg": 74.77341, "aux.loss_seg": 0.11389, "aux.acc_seg": 72.71258, "loss": 0.31482, "time": 0.5157} +{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.19827, "decode.acc_seg": 74.78751, "aux.loss_seg": 0.11155, "aux.acc_seg": 72.76651, "loss": 0.30982, "time": 0.51112} +{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.19436, "decode.acc_seg": 73.87192, "aux.loss_seg": 0.10714, "aux.acc_seg": 71.93784, "loss": 0.3015, "time": 0.51894} +{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.20026, "decode.acc_seg": 73.76353, "aux.loss_seg": 0.10951, "aux.acc_seg": 71.83755, "loss": 0.30977, "time": 0.51805} +{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.19488, "decode.acc_seg": 75.36716, "aux.loss_seg": 0.10706, "aux.acc_seg": 73.50426, "loss": 0.30194, "time": 0.51181} +{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.19623, "decode.acc_seg": 74.26018, "aux.loss_seg": 0.10718, "aux.acc_seg": 72.46219, "loss": 0.30341, "time": 0.54271} +{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.18851, "decode.acc_seg": 73.8163, "aux.loss_seg": 0.10208, "aux.acc_seg": 72.11211, "loss": 0.29059, "time": 0.52353} +{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.20046, "decode.acc_seg": 73.92748, "aux.loss_seg": 0.11035, "aux.acc_seg": 72.01624, "loss": 0.31081, "time": 0.51403} +{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.199, "decode.acc_seg": 74.25126, "aux.loss_seg": 0.11076, "aux.acc_seg": 72.16788, "loss": 0.30977, "time": 0.50951} +{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.1971, "decode.acc_seg": 74.16096, "aux.loss_seg": 0.11022, "aux.acc_seg": 72.1962, "loss": 0.30732, "time": 0.50767} +{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.19241, "decode.acc_seg": 75.18918, "aux.loss_seg": 0.10476, "aux.acc_seg": 73.43005, "loss": 0.29718, "time": 0.51105} +{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.19813, "decode.acc_seg": 74.73439, "aux.loss_seg": 0.10949, "aux.acc_seg": 72.83429, "loss": 0.30761, "time": 0.51141} +{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.20099, "decode.acc_seg": 74.22365, "aux.loss_seg": 0.10865, "aux.acc_seg": 72.42154, "loss": 0.30964, "time": 0.51137} +{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.18807, "decode.acc_seg": 75.67446, "aux.loss_seg": 0.10681, "aux.acc_seg": 73.6254, "loss": 0.29487, "time": 0.54854} +{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.19776, "decode.acc_seg": 73.71843, "aux.loss_seg": 0.10656, "aux.acc_seg": 72.13073, "loss": 0.30432, "time": 0.53164} +{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.2052, "decode.acc_seg": 73.17641, "aux.loss_seg": 0.11286, "aux.acc_seg": 71.30242, "loss": 0.31806, "time": 0.51417} +{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.19439, "decode.acc_seg": 73.63247, "aux.loss_seg": 0.10583, "aux.acc_seg": 71.82633, "loss": 0.30022, "time": 0.51625} +{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.19619, "decode.acc_seg": 73.76788, "aux.loss_seg": 0.10585, "aux.acc_seg": 72.12037, "loss": 0.30203, "time": 0.51983} +{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19995, "decode.acc_seg": 73.44385, "aux.loss_seg": 0.10681, "aux.acc_seg": 71.76876, "loss": 0.30676, "time": 0.51575} +{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19644, "decode.acc_seg": 74.38012, "aux.loss_seg": 0.10782, "aux.acc_seg": 72.51934, "loss": 0.30426, "time": 0.52933} +{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.19354, "decode.acc_seg": 72.14176, "aux.loss_seg": 0.10587, "aux.acc_seg": 70.30505, "loss": 0.29941, "time": 0.52465} +{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.21713, "decode.acc_seg": 74.52682, "aux.loss_seg": 0.1195, "aux.acc_seg": 72.48716, "loss": 0.33664, "time": 0.51399} +{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 22404, "data_time": 0.25045, "decode.loss_seg": 0.19497, "decode.acc_seg": 73.14128, "aux.loss_seg": 0.10743, "aux.acc_seg": 71.21252, "loss": 0.3024, "time": 0.75917} +{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.20137, "decode.acc_seg": 73.40509, "aux.loss_seg": 0.10836, "aux.acc_seg": 71.51008, "loss": 0.30973, "time": 0.51478} +{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.18604, "decode.acc_seg": 74.85162, "aux.loss_seg": 0.1046, "aux.acc_seg": 72.81396, "loss": 0.29064, "time": 0.51033} +{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.18652, "decode.acc_seg": 73.92392, "aux.loss_seg": 0.10185, "aux.acc_seg": 72.20454, "loss": 0.28837, "time": 0.51062} +{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.19606, "decode.acc_seg": 74.99246, "aux.loss_seg": 0.10683, "aux.acc_seg": 73.08143, "loss": 0.30289, "time": 0.51464} +{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.20576, "decode.acc_seg": 74.57511, "aux.loss_seg": 0.11271, "aux.acc_seg": 72.4125, "loss": 0.31847, "time": 0.5108} +{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19414, "decode.acc_seg": 74.32977, "aux.loss_seg": 0.10766, "aux.acc_seg": 72.4463, "loss": 0.3018, "time": 0.51974} +{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.19578, "decode.acc_seg": 74.27182, "aux.loss_seg": 0.10822, "aux.acc_seg": 72.26223, "loss": 0.30401, "time": 0.51645} +{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.21152, "decode.acc_seg": 74.37392, "aux.loss_seg": 0.11603, "aux.acc_seg": 72.4678, "loss": 0.32755, "time": 0.51704} +{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.19359, "decode.acc_seg": 73.56263, "aux.loss_seg": 0.10728, "aux.acc_seg": 71.6447, "loss": 0.30087, "time": 0.52715} +{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.19744, "decode.acc_seg": 72.495, "aux.loss_seg": 0.10702, "aux.acc_seg": 70.76507, "loss": 0.30446, "time": 0.52634} +{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.20249, "decode.acc_seg": 75.22928, "aux.loss_seg": 0.11468, "aux.acc_seg": 73.02051, "loss": 0.31717, "time": 0.52978} +{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17857, "decode.acc_seg": 73.82578, "aux.loss_seg": 0.09954, "aux.acc_seg": 71.95064, "loss": 0.27811, "time": 0.5137} +{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18762, "decode.acc_seg": 74.83158, "aux.loss_seg": 0.10439, "aux.acc_seg": 72.9324, "loss": 0.29201, "time": 0.51079} +{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.20865, "decode.acc_seg": 74.68099, "aux.loss_seg": 0.11432, "aux.acc_seg": 72.65047, "loss": 0.32297, "time": 0.51364} +{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.19777, "decode.acc_seg": 74.04051, "aux.loss_seg": 0.10801, "aux.acc_seg": 72.15773, "loss": 0.30577, "time": 0.51129} +{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 22404, "data_time": 0.00815, "decode.loss_seg": 0.19701, "decode.acc_seg": 73.71994, "aux.loss_seg": 0.10895, "aux.acc_seg": 71.88057, "loss": 0.30596, "time": 0.52116} +{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19656, "decode.acc_seg": 75.14849, "aux.loss_seg": 0.1091, "aux.acc_seg": 73.29281, "loss": 0.30565, "time": 0.53684} +{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.2013, "decode.acc_seg": 75.32428, "aux.loss_seg": 0.1121, "aux.acc_seg": 73.1993, "loss": 0.3134, "time": 0.52581} +{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.20479, "decode.acc_seg": 73.78573, "aux.loss_seg": 0.1125, "aux.acc_seg": 71.87149, "loss": 0.31729, "time": 0.51339} +{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.19012, "decode.acc_seg": 72.85414, "aux.loss_seg": 0.10509, "aux.acc_seg": 71.07097, "loss": 0.29522, "time": 0.52016} +{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.18969, "decode.acc_seg": 75.39247, "aux.loss_seg": 0.10244, "aux.acc_seg": 73.58826, "loss": 0.29213, "time": 0.5327} +{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.19626, "decode.acc_seg": 74.66669, "aux.loss_seg": 0.10819, "aux.acc_seg": 72.73204, "loss": 0.30445, "time": 0.5256} +{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.20068, "decode.acc_seg": 73.86329, "aux.loss_seg": 0.10911, "aux.acc_seg": 72.08649, "loss": 0.30979, "time": 0.51578} +{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19969, "decode.acc_seg": 74.28535, "aux.loss_seg": 0.11107, "aux.acc_seg": 72.24848, "loss": 0.31076, "time": 0.51763} +{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 22404, "data_time": 0.25225, "decode.loss_seg": 0.19302, "decode.acc_seg": 74.59639, "aux.loss_seg": 0.10877, "aux.acc_seg": 72.61711, "loss": 0.30179, "time": 0.76585} +{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.19142, "decode.acc_seg": 73.35373, "aux.loss_seg": 0.10464, "aux.acc_seg": 71.50541, "loss": 0.29606, "time": 0.53333} +{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.19954, "decode.acc_seg": 74.41892, "aux.loss_seg": 0.11087, "aux.acc_seg": 72.27095, "loss": 0.31041, "time": 0.51398} +{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.18838, "decode.acc_seg": 75.17831, "aux.loss_seg": 0.10453, "aux.acc_seg": 73.31198, "loss": 0.2929, "time": 0.5145} +{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.20713, "decode.acc_seg": 74.18316, "aux.loss_seg": 0.11162, "aux.acc_seg": 72.34803, "loss": 0.31875, "time": 0.52501} +{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.19431, "decode.acc_seg": 73.17046, "aux.loss_seg": 0.10991, "aux.acc_seg": 71.10838, "loss": 0.30422, "time": 0.51172} +{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18228, "decode.acc_seg": 75.07506, "aux.loss_seg": 0.1013, "aux.acc_seg": 73.28787, "loss": 0.28358, "time": 0.52246} +{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.18698, "decode.acc_seg": 75.3666, "aux.loss_seg": 0.10323, "aux.acc_seg": 73.52234, "loss": 0.29021, "time": 0.51492} +{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.18023, "decode.acc_seg": 73.88855, "aux.loss_seg": 0.09996, "aux.acc_seg": 72.10681, "loss": 0.28019, "time": 0.5153} +{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.19795, "decode.acc_seg": 75.42539, "aux.loss_seg": 0.10941, "aux.acc_seg": 73.49545, "loss": 0.30736, "time": 0.51523} +{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.20317, "decode.acc_seg": 74.88971, "aux.loss_seg": 0.11293, "aux.acc_seg": 72.89327, "loss": 0.3161, "time": 0.51712} +{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.19303, "decode.acc_seg": 74.31872, "aux.loss_seg": 0.10803, "aux.acc_seg": 72.42691, "loss": 0.30106, "time": 0.52486} +{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.19316, "decode.acc_seg": 74.41354, "aux.loss_seg": 0.1059, "aux.acc_seg": 72.60187, "loss": 0.29906, "time": 0.5183} +{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.1882, "decode.acc_seg": 74.35475, "aux.loss_seg": 0.1053, "aux.acc_seg": 72.2882, "loss": 0.29349, "time": 0.52276} +{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.19026, "decode.acc_seg": 72.83224, "aux.loss_seg": 0.10508, "aux.acc_seg": 70.93828, "loss": 0.29534, "time": 0.51447} +{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.19408, "decode.acc_seg": 74.25659, "aux.loss_seg": 0.11038, "aux.acc_seg": 72.00177, "loss": 0.30446, "time": 0.5078} +{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.20371, "decode.acc_seg": 73.95717, "aux.loss_seg": 0.11032, "aux.acc_seg": 72.14762, "loss": 0.31403, "time": 0.51449} +{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.1906, "decode.acc_seg": 75.02294, "aux.loss_seg": 0.10523, "aux.acc_seg": 73.27176, "loss": 0.29583, "time": 0.51331} +{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18996, "decode.acc_seg": 74.41555, "aux.loss_seg": 0.10317, "aux.acc_seg": 72.67072, "loss": 0.29313, "time": 0.51161} +{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19907, "decode.acc_seg": 74.97248, "aux.loss_seg": 0.1125, "aux.acc_seg": 72.83019, "loss": 0.31157, "time": 0.51193} +{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.19808, "decode.acc_seg": 74.32615, "aux.loss_seg": 0.11072, "aux.acc_seg": 72.268, "loss": 0.3088, "time": 0.52877} +{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.19686, "decode.acc_seg": 75.4187, "aux.loss_seg": 0.10677, "aux.acc_seg": 73.70229, "loss": 0.30363, "time": 0.53493} +{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.19608, "decode.acc_seg": 75.37944, "aux.loss_seg": 0.10778, "aux.acc_seg": 73.56837, "loss": 0.30386, "time": 0.51183} +{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18979, "decode.acc_seg": 73.36897, "aux.loss_seg": 0.10457, "aux.acc_seg": 71.48521, "loss": 0.29436, "time": 0.51442} +{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19478, "decode.acc_seg": 75.61498, "aux.loss_seg": 0.10729, "aux.acc_seg": 73.60999, "loss": 0.30207, "time": 0.52296} +{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.20046, "decode.acc_seg": 74.32865, "aux.loss_seg": 0.1096, "aux.acc_seg": 72.42153, "loss": 0.31007, "time": 0.51073} +{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 22404, "data_time": 0.24786, "decode.loss_seg": 0.19255, "decode.acc_seg": 75.28122, "aux.loss_seg": 0.10644, "aux.acc_seg": 73.43879, "loss": 0.29899, "time": 0.76198} +{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19228, "decode.acc_seg": 75.58798, "aux.loss_seg": 0.10542, "aux.acc_seg": 73.79966, "loss": 0.29769, "time": 0.52484} +{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.18953, "decode.acc_seg": 74.48865, "aux.loss_seg": 0.10536, "aux.acc_seg": 72.56154, "loss": 0.29489, "time": 0.51642} +{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.19323, "decode.acc_seg": 74.95083, "aux.loss_seg": 0.10936, "aux.acc_seg": 72.90602, "loss": 0.30258, "time": 0.51408} +{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.18718, "decode.acc_seg": 73.86088, "aux.loss_seg": 0.10586, "aux.acc_seg": 71.7866, "loss": 0.29304, "time": 0.51008} +{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.18878, "decode.acc_seg": 73.56761, "aux.loss_seg": 0.10623, "aux.acc_seg": 71.48783, "loss": 0.29501, "time": 0.52234} +{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.10377, "aux.loss_seg": 0.1032, "aux.acc_seg": 72.30037, "loss": 0.28979, "time": 0.51437} +{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.1975, "decode.acc_seg": 74.57265, "aux.loss_seg": 0.10923, "aux.acc_seg": 72.61316, "loss": 0.30674, "time": 0.51943} +{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.19813, "decode.acc_seg": 74.95203, "aux.loss_seg": 0.1088, "aux.acc_seg": 73.02949, "loss": 0.30693, "time": 0.52533} +{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18125, "decode.acc_seg": 74.15479, "aux.loss_seg": 0.09846, "aux.acc_seg": 72.37174, "loss": 0.27971, "time": 0.5312} +{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.18771, "decode.acc_seg": 74.04181, "aux.loss_seg": 0.10526, "aux.acc_seg": 72.09277, "loss": 0.29296, "time": 0.52434} +{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.18616, "decode.acc_seg": 75.33205, "aux.loss_seg": 0.10266, "aux.acc_seg": 73.50707, "loss": 0.28882, "time": 0.53265} +{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17582, "decode.acc_seg": 75.70111, "aux.loss_seg": 0.09653, "aux.acc_seg": 73.98329, "loss": 0.27234, "time": 0.51483} +{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.18524, "decode.acc_seg": 73.98948, "aux.loss_seg": 0.10311, "aux.acc_seg": 72.18354, "loss": 0.28835, "time": 0.51564} +{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.19194, "decode.acc_seg": 75.44534, "aux.loss_seg": 0.10538, "aux.acc_seg": 73.7823, "loss": 0.29732, "time": 0.50965} +{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19371, "decode.acc_seg": 73.9749, "aux.loss_seg": 0.10664, "aux.acc_seg": 72.05001, "loss": 0.30035, "time": 0.52319} +{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19747, "decode.acc_seg": 75.52596, "aux.loss_seg": 0.10911, "aux.acc_seg": 73.56454, "loss": 0.30657, "time": 0.51469} +{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.18982, "decode.acc_seg": 74.25198, "aux.loss_seg": 0.10347, "aux.acc_seg": 72.43701, "loss": 0.29329, "time": 0.52177} +{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.19125, "decode.acc_seg": 74.64408, "aux.loss_seg": 0.108, "aux.acc_seg": 72.68174, "loss": 0.29924, "time": 0.53438} +{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.2004, "decode.acc_seg": 74.1464, "aux.loss_seg": 0.11042, "aux.acc_seg": 72.21489, "loss": 0.31082, "time": 0.51603} +{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19118, "decode.acc_seg": 72.32943, "aux.loss_seg": 0.10422, "aux.acc_seg": 70.47274, "loss": 0.2954, "time": 0.51488} +{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20429, "decode.acc_seg": 73.32238, "aux.loss_seg": 0.11222, "aux.acc_seg": 71.36187, "loss": 0.31651, "time": 0.51736} +{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.19827, "decode.acc_seg": 74.87092, "aux.loss_seg": 0.11003, "aux.acc_seg": 72.94662, "loss": 0.30831, "time": 0.52403} +{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18747, "decode.acc_seg": 73.44267, "aux.loss_seg": 0.10387, "aux.acc_seg": 71.62997, "loss": 0.29134, "time": 0.51206} +{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19284, "decode.acc_seg": 75.00243, "aux.loss_seg": 0.10602, "aux.acc_seg": 73.22963, "loss": 0.29886, "time": 0.51929} +{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 22404, "data_time": 0.2491, "decode.loss_seg": 0.19533, "decode.acc_seg": 74.07656, "aux.loss_seg": 0.10693, "aux.acc_seg": 72.25389, "loss": 0.30226, "time": 0.76386} +{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.20167, "decode.acc_seg": 73.97738, "aux.loss_seg": 0.11041, "aux.acc_seg": 72.17262, "loss": 0.31208, "time": 0.51843} +{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.19423, "decode.acc_seg": 74.39854, "aux.loss_seg": 0.10699, "aux.acc_seg": 72.45353, "loss": 0.30121, "time": 0.5175} +{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18097, "decode.acc_seg": 74.90548, "aux.loss_seg": 0.10105, "aux.acc_seg": 73.11275, "loss": 0.28202, "time": 0.53429} +{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.20271, "decode.acc_seg": 75.31438, "aux.loss_seg": 0.11146, "aux.acc_seg": 73.35957, "loss": 0.31416, "time": 0.5168} +{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.19275, "decode.acc_seg": 74.10235, "aux.loss_seg": 0.10464, "aux.acc_seg": 72.17706, "loss": 0.29739, "time": 0.5355} +{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.19362, "decode.acc_seg": 73.73572, "aux.loss_seg": 0.10593, "aux.acc_seg": 71.90128, "loss": 0.29955, "time": 0.52334} +{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.19478, "decode.acc_seg": 74.37225, "aux.loss_seg": 0.10877, "aux.acc_seg": 72.37101, "loss": 0.30355, "time": 0.51815} +{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.19039, "decode.acc_seg": 73.00663, "aux.loss_seg": 0.10538, "aux.acc_seg": 71.20759, "loss": 0.29577, "time": 0.53933} +{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.19412, "decode.acc_seg": 75.91569, "aux.loss_seg": 0.10742, "aux.acc_seg": 74.01111, "loss": 0.30153, "time": 0.52888} +{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.19419, "decode.acc_seg": 75.96698, "aux.loss_seg": 0.11039, "aux.acc_seg": 73.86033, "loss": 0.30458, "time": 0.51456} +{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.19483, "decode.acc_seg": 73.93836, "aux.loss_seg": 0.10732, "aux.acc_seg": 72.1051, "loss": 0.30216, "time": 0.51302} +{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19842, "decode.acc_seg": 75.62077, "aux.loss_seg": 0.10737, "aux.acc_seg": 73.85638, "loss": 0.30578, "time": 0.50779} +{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.19449, "decode.acc_seg": 75.06924, "aux.loss_seg": 0.10577, "aux.acc_seg": 73.28499, "loss": 0.30026, "time": 0.51282} +{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18994, "decode.acc_seg": 75.03252, "aux.loss_seg": 0.10294, "aux.acc_seg": 73.35448, "loss": 0.29288, "time": 0.51173} +{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.19215, "decode.acc_seg": 74.75521, "aux.loss_seg": 0.10506, "aux.acc_seg": 72.91594, "loss": 0.29721, "time": 0.51956} +{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.19078, "decode.acc_seg": 74.79025, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.81298, "loss": 0.29667, "time": 0.51866} +{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.17924, "decode.acc_seg": 74.59778, "aux.loss_seg": 0.10081, "aux.acc_seg": 72.77546, "loss": 0.28005, "time": 0.51742} +{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.18434, "decode.acc_seg": 75.31378, "aux.loss_seg": 0.10202, "aux.acc_seg": 73.49175, "loss": 0.28636, "time": 0.52133} +{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.19171, "decode.acc_seg": 75.26212, "aux.loss_seg": 0.10781, "aux.acc_seg": 73.30767, "loss": 0.29952, "time": 0.52981} +{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.18835, "decode.acc_seg": 73.86226, "aux.loss_seg": 0.10476, "aux.acc_seg": 71.92858, "loss": 0.29311, "time": 0.51378} +{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.18685, "decode.acc_seg": 74.04524, "aux.loss_seg": 0.10365, "aux.acc_seg": 72.17401, "loss": 0.2905, "time": 0.52679} +{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.19552, "decode.acc_seg": 73.8731, "aux.loss_seg": 0.10946, "aux.acc_seg": 71.80234, "loss": 0.30498, "time": 0.5213} +{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.19061, "decode.acc_seg": 74.82702, "aux.loss_seg": 0.10588, "aux.acc_seg": 72.97863, "loss": 0.29649, "time": 0.51499} +{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.19144, "decode.acc_seg": 74.66847, "aux.loss_seg": 0.10758, "aux.acc_seg": 72.71238, "loss": 0.29902, "time": 0.5124} +{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 22404, "data_time": 0.24811, "decode.loss_seg": 0.18667, "decode.acc_seg": 75.45793, "aux.loss_seg": 0.10401, "aux.acc_seg": 73.56889, "loss": 0.29068, "time": 0.75522} +{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18456, "decode.acc_seg": 73.28782, "aux.loss_seg": 0.10326, "aux.acc_seg": 71.38056, "loss": 0.28783, "time": 0.53334} +{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.19601, "decode.acc_seg": 75.12454, "aux.loss_seg": 0.10554, "aux.acc_seg": 73.39984, "loss": 0.30155, "time": 0.53151} +{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.18911, "decode.acc_seg": 74.79565, "aux.loss_seg": 0.10598, "aux.acc_seg": 72.75816, "loss": 0.29508, "time": 0.54381} +{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.18152, "decode.acc_seg": 74.20022, "aux.loss_seg": 0.10243, "aux.acc_seg": 72.15235, "loss": 0.28395, "time": 0.51745} +{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19222, "decode.acc_seg": 74.19169, "aux.loss_seg": 0.10606, "aux.acc_seg": 72.3405, "loss": 0.29828, "time": 0.52078} +{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.19681, "decode.acc_seg": 73.40484, "aux.loss_seg": 0.11049, "aux.acc_seg": 71.33531, "loss": 0.3073, "time": 0.52115} +{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.18674, "decode.acc_seg": 75.10184, "aux.loss_seg": 0.10132, "aux.acc_seg": 73.47487, "loss": 0.28806, "time": 0.51348} +{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.19789, "decode.acc_seg": 75.63515, "aux.loss_seg": 0.10968, "aux.acc_seg": 73.61615, "loss": 0.30757, "time": 0.53839} +{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.18687, "decode.acc_seg": 73.55411, "aux.loss_seg": 0.10473, "aux.acc_seg": 71.58966, "loss": 0.2916, "time": 0.51404} +{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17488, "decode.acc_seg": 74.79518, "aux.loss_seg": 0.09846, "aux.acc_seg": 73.02991, "loss": 0.27333, "time": 0.51271} +{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.18387, "decode.acc_seg": 73.62511, "aux.loss_seg": 0.10342, "aux.acc_seg": 71.69991, "loss": 0.28729, "time": 0.52655} +{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.18978, "decode.acc_seg": 74.26464, "aux.loss_seg": 0.10546, "aux.acc_seg": 72.38337, "loss": 0.29524, "time": 0.53488} +{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.18874, "decode.acc_seg": 75.38618, "aux.loss_seg": 0.10252, "aux.acc_seg": 73.67667, "loss": 0.29126, "time": 0.51157} +{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.18686, "decode.acc_seg": 74.16321, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.4446, "loss": 0.28932, "time": 0.5055} +{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.19195, "decode.acc_seg": 74.22169, "aux.loss_seg": 0.10888, "aux.acc_seg": 72.25544, "loss": 0.30083, "time": 0.50934} +{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18841, "decode.acc_seg": 74.21104, "aux.loss_seg": 0.1056, "aux.acc_seg": 72.32642, "loss": 0.29401, "time": 0.51226} +{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.18622, "decode.acc_seg": 75.11869, "aux.loss_seg": 0.1032, "aux.acc_seg": 73.17874, "loss": 0.28941, "time": 0.51735} +{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.18863, "decode.acc_seg": 74.61043, "aux.loss_seg": 0.10522, "aux.acc_seg": 72.66326, "loss": 0.29385, "time": 0.51064} +{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.20036, "decode.acc_seg": 74.50702, "aux.loss_seg": 0.11037, "aux.acc_seg": 72.60051, "loss": 0.31073, "time": 0.51272} +{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19086, "decode.acc_seg": 75.03934, "aux.loss_seg": 0.1044, "aux.acc_seg": 73.26525, "loss": 0.29526, "time": 0.51101} +{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.18181, "decode.acc_seg": 74.64635, "aux.loss_seg": 0.10054, "aux.acc_seg": 72.89924, "loss": 0.28235, "time": 0.52773} +{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.20512, "decode.acc_seg": 73.9233, "aux.loss_seg": 0.11576, "aux.acc_seg": 71.84452, "loss": 0.32088, "time": 0.54852} +{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.19137, "decode.acc_seg": 73.90334, "aux.loss_seg": 0.10537, "aux.acc_seg": 72.04643, "loss": 0.29674, "time": 0.51292} +{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.18738, "decode.acc_seg": 75.15147, "aux.loss_seg": 0.10394, "aux.acc_seg": 73.26928, "loss": 0.29132, "time": 0.5369} +{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 22404, "data_time": 0.24521, "decode.loss_seg": 0.19441, "decode.acc_seg": 77.10357, "aux.loss_seg": 0.10649, "aux.acc_seg": 75.27043, "loss": 0.3009, "time": 0.74787} +{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18595, "decode.acc_seg": 74.69747, "aux.loss_seg": 0.10513, "aux.acc_seg": 72.74435, "loss": 0.29108, "time": 0.50484} +{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.18819, "decode.acc_seg": 77.24683, "aux.loss_seg": 0.10648, "aux.acc_seg": 75.13175, "loss": 0.29468, "time": 0.50904} +{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.1952, "decode.acc_seg": 75.72554, "aux.loss_seg": 0.10771, "aux.acc_seg": 73.74068, "loss": 0.30291, "time": 0.51336} +{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.17565, "decode.acc_seg": 74.3945, "aux.loss_seg": 0.09806, "aux.acc_seg": 72.53391, "loss": 0.27371, "time": 0.53388} +{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.18061, "decode.acc_seg": 74.80539, "aux.loss_seg": 0.10116, "aux.acc_seg": 73.02999, "loss": 0.28177, "time": 0.53918} +{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.19586, "decode.acc_seg": 75.44926, "aux.loss_seg": 0.10847, "aux.acc_seg": 73.46863, "loss": 0.30433, "time": 0.51631} +{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.18561, "decode.acc_seg": 73.85163, "aux.loss_seg": 0.10194, "aux.acc_seg": 72.04682, "loss": 0.28755, "time": 0.51015} +{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.18146, "decode.acc_seg": 73.60005, "aux.loss_seg": 0.10141, "aux.acc_seg": 71.6417, "loss": 0.28287, "time": 0.52029} +{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19162, "decode.acc_seg": 75.40847, "aux.loss_seg": 0.10765, "aux.acc_seg": 73.50411, "loss": 0.29927, "time": 0.5091} +{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.18938, "decode.acc_seg": 74.50846, "aux.loss_seg": 0.10514, "aux.acc_seg": 72.56044, "loss": 0.29452, "time": 0.51147} +{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18914, "decode.acc_seg": 73.09678, "aux.loss_seg": 0.10355, "aux.acc_seg": 71.24765, "loss": 0.29269, "time": 0.51558} +{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.18439, "decode.acc_seg": 74.50311, "aux.loss_seg": 0.10469, "aux.acc_seg": 72.45916, "loss": 0.28908, "time": 0.51101} +{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.18844, "decode.acc_seg": 73.83433, "aux.loss_seg": 0.10389, "aux.acc_seg": 71.9941, "loss": 0.29234, "time": 0.50582} +{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.19352, "decode.acc_seg": 73.89691, "aux.loss_seg": 0.10988, "aux.acc_seg": 71.76626, "loss": 0.30341, "time": 0.52783} +{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.19111, "decode.acc_seg": 73.9193, "aux.loss_seg": 0.10538, "aux.acc_seg": 71.98633, "loss": 0.29649, "time": 0.51326} +{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.19252, "decode.acc_seg": 73.32284, "aux.loss_seg": 0.10731, "aux.acc_seg": 71.42767, "loss": 0.29983, "time": 0.52565} +{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4634, "mAcc": 0.5828, "aAcc": 0.8198, "IoU.wall": 0.7588, "IoU.building": 0.8094, "IoU.sky": 0.9368, "IoU.floor": 0.8029, "IoU.tree": 0.7326, "IoU.ceiling": 0.8405, "IoU.road": 0.8386, "IoU.bed ": 0.8821, "IoU.windowpane": 0.6, "IoU.grass": 0.6417, "IoU.cabinet": 0.6024, "IoU.sidewalk": 0.6619, "IoU.person": 0.7756, "IoU.earth": 0.3644, "IoU.door": 0.4536, "IoU.table": 0.5513, "IoU.mountain": 0.5895, "IoU.plant": 0.5075, "IoU.curtain": 0.7096, "IoU.chair": 0.5382, "IoU.car": 0.8294, "IoU.water": 0.4855, "IoU.painting": 0.7057, "IoU.sofa": 0.6043, "IoU.shelf": 0.4487, "IoU.house": 0.4674, "IoU.sea": 0.5034, "IoU.mirror": 0.6358, "IoU.rug": 0.5269, "IoU.field": 0.2654, "IoU.armchair": 0.3462, "IoU.seat": 0.6269, "IoU.fence": 0.4711, "IoU.desk": 0.461, "IoU.rock": 0.4223, "IoU.wardrobe": 0.4898, "IoU.lamp": 0.5854, "IoU.bathtub": 0.738, "IoU.railing": 0.3313, "IoU.cushion": 0.5211, "IoU.base": 0.3275, "IoU.box": 0.2599, "IoU.column": 0.4307, "IoU.signboard": 0.3756, "IoU.chest of drawers": 0.4008, "IoU.counter": 0.2433, "IoU.sand": 0.521, "IoU.sink": 0.6722, "IoU.skyscraper": 0.609, "IoU.fireplace": NaN, "IoU.refrigerator": 0.722, "IoU.grandstand": 0.4064, "IoU.path": 0.2108, "IoU.stairs": 0.3207, "IoU.runway": 0.6852, "IoU.case": 0.5223, "IoU.pool table": 0.9136, "IoU.pillow": 0.5382, "IoU.screen door": 0.666, "IoU.stairway": 0.2825, "IoU.river": 0.1262, "IoU.bridge": 0.6241, "IoU.bookcase": 0.4334, "IoU.blind": NaN, "IoU.coffee table": 0.477, "IoU.toilet": 0.8248, "IoU.flower": 0.4205, "IoU.book": 0.4473, "IoU.hill": 0.0553, "IoU.bench": 0.4738, "IoU.countertop": 0.5245, "IoU.stove": 0.7129, "IoU.palm": 0.4619, "IoU.kitchen island": 0.354, "IoU.computer": 0.6994, "IoU.swivel chair": 0.4336, "IoU.boat": 0.4013, "IoU.bar": 0.254, "IoU.arcade machine": 0.4521, "IoU.hovel": 0.4047, "IoU.bus": 0.8287, "IoU.towel": 0.592, "IoU.light": 0.5249, "IoU.truck": 0.3429, "IoU.tower": 0.0783, "IoU.chandelier": 0.6443, "IoU.awning": 0.2644, "IoU.streetlight": 0.2094, "IoU.booth": 0.5746, "IoU.television receiver": NaN, "IoU.airplane": 0.6183, "IoU.dirt track": 0.0981, "IoU.apparel": 0.3066, "IoU.pole": 0.1754, "IoU.land": 0.0417, "IoU.bannister": 0.0859, "IoU.escalator": 0.3012, "IoU.ottoman": 0.3767, "IoU.bottle": NaN, "IoU.buffet": 0.4001, "IoU.poster": 0.2817, "IoU.stage": 0.1438, "IoU.van": 0.39, "IoU.ship": 0.5949, "IoU.fountain": 0.206, "IoU.conveyer belt": 0.6369, "IoU.canopy": 0.1131, "IoU.washer": 0.7992, "IoU.plaything": 0.191, "IoU.swimming pool": 0.5633, "IoU.stool": 0.3967, "IoU.barrel": 0.6201, "IoU.basket": 0.2839, "IoU.waterfall": 0.3934, "IoU.tent": 0.9299, "IoU.bag": 0.1139, "IoU.minibike": 0.7253, "IoU.cradle": NaN, "IoU.oven": 0.4094, "IoU.ball": 0.3725, "IoU.food": 0.3389, "IoU.step": 0.1022, "IoU.tank": 0.5021, "IoU.trade name": 0.2751, "IoU.microwave": 0.6485, "IoU.pot": 0.5096, "IoU.animal": NaN, "IoU.bicycle": 0.5382, "IoU.lake": 0.3688, "IoU.dishwasher": 0.5141, "IoU.screen": 0.6231, "IoU.blanket": 0.1237, "IoU.sculpture": 0.56, "IoU.hood": 0.573, "IoU.sconce": 0.4409, "IoU.vase": 0.3512, "IoU.traffic light": 0.2987, "IoU.tray": 0.0847, "IoU.ashcan": 0.3647, "IoU.fan": 0.5446, "IoU.pier": 0.3256, "IoU.crt screen": 0.0423, "IoU.plate": 0.5141, "IoU.monitor": 0.0153, "IoU.bulletin board": 0.3282, "IoU.shower": 0.0214, "IoU.radiator": 0.587, "IoU.glass": 0.1262, "IoU.clock": 0.315, "IoU.flag": 0.3069, "Acc.wall": 0.8734, "Acc.building": 0.9113, "Acc.sky": 0.9742, "Acc.floor": 0.9006, "Acc.tree": 0.8597, "Acc.ceiling": 0.9291, "Acc.road": 0.9105, "Acc.bed ": 0.9466, "Acc.windowpane": 0.7536, "Acc.grass": 0.7966, "Acc.cabinet": 0.7326, "Acc.sidewalk": 0.819, "Acc.person": 0.9134, "Acc.earth": 0.4878, "Acc.door": 0.5731, "Acc.table": 0.7281, "Acc.mountain": 0.753, "Acc.plant": 0.6281, "Acc.curtain": 0.8604, "Acc.chair": 0.6905, "Acc.car": 0.9139, "Acc.water": 0.6317, "Acc.painting": 0.8541, "Acc.sofa": 0.8017, "Acc.shelf": 0.5942, "Acc.house": 0.647, "Acc.sea": 0.6941, "Acc.mirror": 0.7601, "Acc.rug": 0.6217, "Acc.field": 0.4859, "Acc.armchair": 0.4958, "Acc.seat": 0.8146, "Acc.fence": 0.6375, "Acc.desk": 0.6727, "Acc.rock": 0.6749, "Acc.wardrobe": 0.6605, "Acc.lamp": 0.7025, "Acc.bathtub": 0.7944, "Acc.railing": 0.439, "Acc.cushion": 0.6765, "Acc.base": 0.4936, "Acc.box": 0.3172, "Acc.column": 0.5848, "Acc.signboard": 0.5292, "Acc.chest of drawers": 0.5914, "Acc.counter": 0.3257, "Acc.sand": 0.7018, "Acc.sink": 0.7555, "Acc.skyscraper": 0.761, "Acc.fireplace": NaN, "Acc.refrigerator": 0.841, "Acc.grandstand": 0.58, "Acc.path": 0.3015, "Acc.stairs": 0.3959, "Acc.runway": 0.8873, "Acc.case": 0.7203, "Acc.pool table": 0.9631, "Acc.pillow": 0.6538, "Acc.screen door": 0.7359, "Acc.stairway": 0.3191, "Acc.river": 0.3168, "Acc.bridge": 0.8145, "Acc.bookcase": 0.5134, "Acc.blind": NaN, "Acc.coffee table": 0.7516, "Acc.toilet": 0.8805, "Acc.flower": 0.5863, "Acc.book": 0.6664, "Acc.hill": 0.0853, "Acc.bench": 0.5652, "Acc.countertop": 0.7093, "Acc.stove": 0.819, "Acc.palm": 0.7209, "Acc.kitchen island": 0.7691, "Acc.computer": 0.8594, "Acc.swivel chair": 0.6372, "Acc.boat": 0.4718, "Acc.bar": 0.3402, "Acc.arcade machine": 0.4831, "Acc.hovel": 0.4451, "Acc.bus": 0.9542, "Acc.towel": 0.714, "Acc.light": 0.6104, "Acc.truck": 0.4829, "Acc.tower": 0.1267, "Acc.chandelier": 0.8, "Acc.awning": 0.3095, "Acc.streetlight": 0.2757, "Acc.booth": 0.6836, "Acc.television receiver": NaN, "Acc.airplane": 0.6994, "Acc.dirt track": 0.1177, "Acc.apparel": 0.3899, "Acc.pole": 0.2468, "Acc.land": 0.0658, "Acc.bannister": 0.1106, "Acc.escalator": 0.3695, "Acc.ottoman": 0.5324, "Acc.bottle": NaN, "Acc.buffet": 0.4406, "Acc.poster": 0.468, "Acc.stage": 0.2045, "Acc.van": 0.5116, "Acc.ship": 0.9536, "Acc.fountain": 0.209, "Acc.conveyer belt": 0.8582, "Acc.canopy": 0.1473, "Acc.washer": 0.836, "Acc.plaything": 0.2788, "Acc.swimming pool": 0.7519, "Acc.stool": 0.5349, "Acc.barrel": 0.6464, "Acc.basket": 0.3403, "Acc.waterfall": 0.5605, "Acc.tent": 0.9844, "Acc.bag": 0.133, "Acc.minibike": 0.8781, "Acc.cradle": NaN, "Acc.oven": 0.5817, "Acc.ball": 0.4415, "Acc.food": 0.402, "Acc.step": 0.1124, "Acc.tank": 0.5798, "Acc.trade name": 0.3158, "Acc.microwave": 0.737, "Acc.pot": 0.5718, "Acc.animal": NaN, "Acc.bicycle": 0.7577, "Acc.lake": 0.6282, "Acc.dishwasher": 0.6958, "Acc.screen": 0.8791, "Acc.blanket": 0.1388, "Acc.sculpture": 0.6798, "Acc.hood": 0.6245, "Acc.sconce": 0.5737, "Acc.vase": 0.4743, "Acc.traffic light": 0.4201, "Acc.tray": 0.148, "Acc.ashcan": 0.4932, "Acc.fan": 0.6654, "Acc.pier": 0.483, "Acc.crt screen": 0.1168, "Acc.plate": 0.6508, "Acc.monitor": 0.0158, "Acc.bulletin board": 0.4507, "Acc.shower": 0.0675, "Acc.radiator": 0.6391, "Acc.glass": 0.1374, "Acc.clock": 0.3544, "Acc.flag": 0.3463} +{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 22404, "data_time": 1.56222, "decode.loss_seg": 0.18751, "decode.acc_seg": 74.81302, "aux.loss_seg": 0.1014, "aux.acc_seg": 73.19491, "loss": 0.28891, "time": 2.08063} +{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.19187, "decode.acc_seg": 74.15243, "aux.loss_seg": 0.10697, "aux.acc_seg": 72.31386, "loss": 0.29883, "time": 0.51417} +{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.17921, "decode.acc_seg": 74.77104, "aux.loss_seg": 0.09957, "aux.acc_seg": 72.99768, "loss": 0.27879, "time": 0.53667} +{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.19203, "decode.acc_seg": 75.29948, "aux.loss_seg": 0.10728, "aux.acc_seg": 73.37415, "loss": 0.29932, "time": 0.51416} +{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.18812, "decode.acc_seg": 73.78498, "aux.loss_seg": 0.10494, "aux.acc_seg": 71.88741, "loss": 0.29306, "time": 0.5312} +{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19977, "decode.acc_seg": 73.99871, "aux.loss_seg": 0.10977, "aux.acc_seg": 72.1132, "loss": 0.30954, "time": 0.54702} +{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.18249, "decode.acc_seg": 74.39501, "aux.loss_seg": 0.10193, "aux.acc_seg": 72.5569, "loss": 0.28442, "time": 0.52854} +{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 22404, "data_time": 0.00626, "decode.loss_seg": 0.18906, "decode.acc_seg": 74.42333, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.54614, "loss": 0.29316, "time": 0.50917} +{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 22404, "data_time": 0.24772, "decode.loss_seg": 0.17669, "decode.acc_seg": 75.68108, "aux.loss_seg": 0.10135, "aux.acc_seg": 73.72497, "loss": 0.27804, "time": 0.78217} +{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.18491, "decode.acc_seg": 75.31635, "aux.loss_seg": 0.10397, "aux.acc_seg": 73.3591, "loss": 0.28888, "time": 0.52784} +{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.18341, "decode.acc_seg": 75.18298, "aux.loss_seg": 0.10188, "aux.acc_seg": 73.29589, "loss": 0.28529, "time": 0.51205} +{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.19727, "decode.acc_seg": 74.27603, "aux.loss_seg": 0.10886, "aux.acc_seg": 72.2245, "loss": 0.30612, "time": 0.53204} +{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.18723, "decode.acc_seg": 74.66363, "aux.loss_seg": 0.10249, "aux.acc_seg": 72.7424, "loss": 0.28971, "time": 0.5098} +{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.18607, "decode.acc_seg": 75.52519, "aux.loss_seg": 0.10417, "aux.acc_seg": 73.5738, "loss": 0.29024, "time": 0.51573} +{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.18676, "decode.acc_seg": 75.22906, "aux.loss_seg": 0.10293, "aux.acc_seg": 73.47518, "loss": 0.28969, "time": 0.51198} +{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 22404, "data_time": 0.0066, "decode.loss_seg": 0.19375, "decode.acc_seg": 74.39981, "aux.loss_seg": 0.10402, "aux.acc_seg": 72.67559, "loss": 0.29777, "time": 0.53485} +{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18838, "decode.acc_seg": 76.02299, "aux.loss_seg": 0.10443, "aux.acc_seg": 74.14181, "loss": 0.29281, "time": 0.54076} +{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.18134, "decode.acc_seg": 73.4861, "aux.loss_seg": 0.10038, "aux.acc_seg": 71.69739, "loss": 0.28172, "time": 0.52397} +{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.18123, "decode.acc_seg": 74.06906, "aux.loss_seg": 0.10237, "aux.acc_seg": 72.02638, "loss": 0.28361, "time": 0.52161} +{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.3628, "aux.loss_seg": 0.10434, "aux.acc_seg": 72.43343, "loss": 0.29094, "time": 0.54096} +{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18512, "decode.acc_seg": 74.97184, "aux.loss_seg": 0.10187, "aux.acc_seg": 73.20878, "loss": 0.28699, "time": 0.51731} +{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 22404, "data_time": 0.00626, "decode.loss_seg": 0.18393, "decode.acc_seg": 74.38359, "aux.loss_seg": 0.1025, "aux.acc_seg": 72.49593, "loss": 0.28643, "time": 0.53203} +{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18946, "decode.acc_seg": 73.2531, "aux.loss_seg": 0.10534, "aux.acc_seg": 71.30543, "loss": 0.2948, "time": 0.53498} +{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.1918, "decode.acc_seg": 73.64275, "aux.loss_seg": 0.10573, "aux.acc_seg": 71.71807, "loss": 0.29753, "time": 0.54456} +{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19324, "decode.acc_seg": 74.1354, "aux.loss_seg": 0.10809, "aux.acc_seg": 72.18993, "loss": 0.30133, "time": 0.52681} +{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.19947, "decode.acc_seg": 74.80407, "aux.loss_seg": 0.11119, "aux.acc_seg": 72.65297, "loss": 0.31066, "time": 0.53266} +{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.19155, "decode.acc_seg": 73.93006, "aux.loss_seg": 0.10499, "aux.acc_seg": 72.15043, "loss": 0.29654, "time": 0.5253} +{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.18806, "decode.acc_seg": 75.09785, "aux.loss_seg": 0.1059, "aux.acc_seg": 73.03923, "loss": 0.29397, "time": 0.52697} +{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.17689, "decode.acc_seg": 73.70646, "aux.loss_seg": 0.09973, "aux.acc_seg": 71.79601, "loss": 0.27662, "time": 0.51353} +{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18967, "decode.acc_seg": 74.03726, "aux.loss_seg": 0.10428, "aux.acc_seg": 72.1538, "loss": 0.29395, "time": 0.53379} +{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.18727, "decode.acc_seg": 74.79197, "aux.loss_seg": 0.10585, "aux.acc_seg": 72.77134, "loss": 0.29311, "time": 0.52917} +{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.19272, "decode.acc_seg": 74.60988, "aux.loss_seg": 0.10861, "aux.acc_seg": 72.57707, "loss": 0.30133, "time": 0.53613} +{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18855, "decode.acc_seg": 74.57697, "aux.loss_seg": 0.10317, "aux.acc_seg": 72.90825, "loss": 0.29173, "time": 0.5147} +{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 22404, "data_time": 0.23968, "decode.loss_seg": 0.17902, "decode.acc_seg": 74.92475, "aux.loss_seg": 0.10097, "aux.acc_seg": 73.00185, "loss": 0.27999, "time": 0.75447} +{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.18513, "decode.acc_seg": 73.50505, "aux.loss_seg": 0.10509, "aux.acc_seg": 71.56216, "loss": 0.29022, "time": 0.52061} +{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.18946, "decode.acc_seg": 73.26154, "aux.loss_seg": 0.10463, "aux.acc_seg": 71.40711, "loss": 0.29409, "time": 0.5329} +{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.18703, "decode.acc_seg": 75.03388, "aux.loss_seg": 0.10379, "aux.acc_seg": 73.22879, "loss": 0.29082, "time": 0.54547} +{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.18384, "decode.acc_seg": 73.41891, "aux.loss_seg": 0.10244, "aux.acc_seg": 71.51145, "loss": 0.28627, "time": 0.52932} +{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.18715, "decode.acc_seg": 74.92245, "aux.loss_seg": 0.10345, "aux.acc_seg": 73.07227, "loss": 0.2906, "time": 0.51985} +{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.18583, "decode.acc_seg": 73.83694, "aux.loss_seg": 0.10511, "aux.acc_seg": 71.77045, "loss": 0.29093, "time": 0.51214} +{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18537, "decode.acc_seg": 75.62362, "aux.loss_seg": 0.10312, "aux.acc_seg": 73.80872, "loss": 0.2885, "time": 0.51198} +{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.18398, "decode.acc_seg": 74.65485, "aux.loss_seg": 0.10279, "aux.acc_seg": 72.7141, "loss": 0.28677, "time": 0.53629} +{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.17911, "decode.acc_seg": 74.27861, "aux.loss_seg": 0.10107, "aux.acc_seg": 72.29278, "loss": 0.28018, "time": 0.53937} +{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.18638, "decode.acc_seg": 74.65858, "aux.loss_seg": 0.10331, "aux.acc_seg": 72.86649, "loss": 0.28969, "time": 0.51321} +{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 22404, "data_time": 0.00619, "decode.loss_seg": 0.18154, "decode.acc_seg": 73.38568, "aux.loss_seg": 0.0987, "aux.acc_seg": 71.67721, "loss": 0.28024, "time": 0.54316} +{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.19012, "decode.acc_seg": 72.88437, "aux.loss_seg": 0.10582, "aux.acc_seg": 70.90775, "loss": 0.29594, "time": 0.53552} +{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 22404, "data_time": 0.00619, "decode.loss_seg": 0.18542, "decode.acc_seg": 74.86311, "aux.loss_seg": 0.10292, "aux.acc_seg": 73.01975, "loss": 0.28834, "time": 0.50874} +{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 22404, "data_time": 0.00614, "decode.loss_seg": 0.1807, "decode.acc_seg": 75.71948, "aux.loss_seg": 0.10071, "aux.acc_seg": 73.90692, "loss": 0.28141, "time": 0.50512} +{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.1842, "decode.acc_seg": 73.4323, "aux.loss_seg": 0.10307, "aux.acc_seg": 71.51982, "loss": 0.28727, "time": 0.51065} +{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.18551, "decode.acc_seg": 74.33086, "aux.loss_seg": 0.10436, "aux.acc_seg": 72.36157, "loss": 0.28987, "time": 0.51437} +{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.18442, "decode.acc_seg": 74.87367, "aux.loss_seg": 0.10274, "aux.acc_seg": 72.95233, "loss": 0.28715, "time": 0.51632} +{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.17642, "decode.acc_seg": 73.85111, "aux.loss_seg": 0.09634, "aux.acc_seg": 72.12545, "loss": 0.27276, "time": 0.52182} +{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18537, "decode.acc_seg": 74.88872, "aux.loss_seg": 0.10303, "aux.acc_seg": 72.93092, "loss": 0.2884, "time": 0.53052} +{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.1829, "decode.acc_seg": 75.23325, "aux.loss_seg": 0.10006, "aux.acc_seg": 73.44518, "loss": 0.28295, "time": 0.52617} +{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.18525, "decode.acc_seg": 72.94771, "aux.loss_seg": 0.10273, "aux.acc_seg": 71.03743, "loss": 0.28798, "time": 0.50794} +{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18387, "decode.acc_seg": 74.94306, "aux.loss_seg": 0.10009, "aux.acc_seg": 73.25825, "loss": 0.28395, "time": 0.50575} +{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.18077, "decode.acc_seg": 76.30827, "aux.loss_seg": 0.10067, "aux.acc_seg": 74.39439, "loss": 0.28144, "time": 0.54159} +{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.18447, "decode.acc_seg": 76.07105, "aux.loss_seg": 0.10285, "aux.acc_seg": 74.23229, "loss": 0.28732, "time": 0.50839} +{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 22404, "data_time": 0.24679, "decode.loss_seg": 0.17819, "decode.acc_seg": 74.97351, "aux.loss_seg": 0.09827, "aux.acc_seg": 73.19063, "loss": 0.27646, "time": 0.75253} +{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.18418, "decode.acc_seg": 75.51192, "aux.loss_seg": 0.10129, "aux.acc_seg": 73.72849, "loss": 0.28547, "time": 0.53659} +{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.18647, "decode.acc_seg": 75.583, "aux.loss_seg": 0.10321, "aux.acc_seg": 73.55637, "loss": 0.28968, "time": 0.5274} +{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.17931, "decode.acc_seg": 73.75243, "aux.loss_seg": 0.09968, "aux.acc_seg": 71.85721, "loss": 0.27899, "time": 0.52577} +{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.19573, "decode.acc_seg": 74.11089, "aux.loss_seg": 0.11056, "aux.acc_seg": 72.074, "loss": 0.30629, "time": 0.52208} +{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.17469, "decode.acc_seg": 73.10156, "aux.loss_seg": 0.09674, "aux.acc_seg": 71.33225, "loss": 0.27143, "time": 0.51187} +{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.18675, "decode.acc_seg": 76.11652, "aux.loss_seg": 0.10338, "aux.acc_seg": 74.21339, "loss": 0.29012, "time": 0.52664} +{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18532, "decode.acc_seg": 74.93065, "aux.loss_seg": 0.1067, "aux.acc_seg": 72.75485, "loss": 0.29202, "time": 0.53893} +{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.18288, "decode.acc_seg": 74.8935, "aux.loss_seg": 0.10088, "aux.acc_seg": 73.01659, "loss": 0.28376, "time": 0.51163} +{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.18683, "decode.acc_seg": 74.36545, "aux.loss_seg": 0.10488, "aux.acc_seg": 72.49118, "loss": 0.29171, "time": 0.52264} +{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.19474, "decode.acc_seg": 75.10146, "aux.loss_seg": 0.1087, "aux.acc_seg": 73.13133, "loss": 0.30344, "time": 0.54337} +{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.18833, "decode.acc_seg": 76.82594, "aux.loss_seg": 0.10378, "aux.acc_seg": 75.07751, "loss": 0.29211, "time": 0.54328} +{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.18484, "decode.acc_seg": 74.34411, "aux.loss_seg": 0.10515, "aux.acc_seg": 72.23255, "loss": 0.28999, "time": 0.54386} +{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.19635, "decode.acc_seg": 75.69451, "aux.loss_seg": 0.1093, "aux.acc_seg": 73.63864, "loss": 0.30564, "time": 0.52693} +{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.18537, "decode.acc_seg": 75.09289, "aux.loss_seg": 0.10492, "aux.acc_seg": 73.11946, "loss": 0.29028, "time": 0.51403} +{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.18406, "decode.acc_seg": 74.54282, "aux.loss_seg": 0.10505, "aux.acc_seg": 72.45845, "loss": 0.28912, "time": 0.50612} +{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.1834, "decode.acc_seg": 76.25314, "aux.loss_seg": 0.10239, "aux.acc_seg": 74.42004, "loss": 0.28578, "time": 0.5387} +{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.19388, "decode.acc_seg": 74.32205, "aux.loss_seg": 0.10842, "aux.acc_seg": 72.36035, "loss": 0.30231, "time": 0.54959} +{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.17309, "decode.acc_seg": 75.15694, "aux.loss_seg": 0.09834, "aux.acc_seg": 73.29531, "loss": 0.27142, "time": 0.51748} +{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19135, "decode.acc_seg": 75.43075, "aux.loss_seg": 0.10576, "aux.acc_seg": 73.46437, "loss": 0.29711, "time": 0.52108} +{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.17974, "decode.acc_seg": 76.25837, "aux.loss_seg": 0.10054, "aux.acc_seg": 74.49574, "loss": 0.28028, "time": 0.50788} +{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19074, "decode.acc_seg": 75.06892, "aux.loss_seg": 0.10446, "aux.acc_seg": 73.25466, "loss": 0.2952, "time": 0.52869} +{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.1788, "decode.acc_seg": 73.97769, "aux.loss_seg": 0.10005, "aux.acc_seg": 72.12137, "loss": 0.27885, "time": 0.54497} +{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.18892, "decode.acc_seg": 74.77605, "aux.loss_seg": 0.10382, "aux.acc_seg": 72.97292, "loss": 0.29274, "time": 0.53276} +{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.1733, "decode.acc_seg": 74.62965, "aux.loss_seg": 0.09709, "aux.acc_seg": 72.80115, "loss": 0.27039, "time": 0.52708} +{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 22404, "data_time": 0.24506, "decode.loss_seg": 0.18692, "decode.acc_seg": 73.08424, "aux.loss_seg": 0.10428, "aux.acc_seg": 71.18178, "loss": 0.29121, "time": 0.77416} +{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19237, "decode.acc_seg": 74.54441, "aux.loss_seg": 0.10712, "aux.acc_seg": 72.57395, "loss": 0.29949, "time": 0.52869} +{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17196, "decode.acc_seg": 74.2344, "aux.loss_seg": 0.09441, "aux.acc_seg": 72.61443, "loss": 0.26636, "time": 0.54869} +{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 22404, "data_time": 0.00798, "decode.loss_seg": 0.18023, "decode.acc_seg": 75.52092, "aux.loss_seg": 0.10054, "aux.acc_seg": 73.6287, "loss": 0.28077, "time": 0.53163} +{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18534, "decode.acc_seg": 74.86768, "aux.loss_seg": 0.1038, "aux.acc_seg": 72.92858, "loss": 0.28914, "time": 0.55083} +{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.19944, "decode.acc_seg": 75.00496, "aux.loss_seg": 0.10913, "aux.acc_seg": 73.07023, "loss": 0.30857, "time": 0.5267} +{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.19534, "decode.acc_seg": 74.93652, "aux.loss_seg": 0.10791, "aux.acc_seg": 72.91982, "loss": 0.30326, "time": 0.51186} +{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.62491, "aux.loss_seg": 0.10294, "aux.acc_seg": 72.59995, "loss": 0.28474, "time": 0.51356} +{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.1815, "decode.acc_seg": 73.57627, "aux.loss_seg": 0.1036, "aux.acc_seg": 71.58111, "loss": 0.2851, "time": 0.52153} +{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.19547, "decode.acc_seg": 74.96845, "aux.loss_seg": 0.1087, "aux.acc_seg": 73.05442, "loss": 0.30417, "time": 0.51057} +{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.18531, "decode.acc_seg": 75.69958, "aux.loss_seg": 0.10337, "aux.acc_seg": 73.77657, "loss": 0.28868, "time": 0.50924} +{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17931, "decode.acc_seg": 72.97671, "aux.loss_seg": 0.09955, "aux.acc_seg": 71.09801, "loss": 0.27886, "time": 0.53176} +{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.18695, "decode.acc_seg": 75.53278, "aux.loss_seg": 0.10208, "aux.acc_seg": 73.63449, "loss": 0.28903, "time": 0.51286} +{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.19029, "decode.acc_seg": 74.58256, "aux.loss_seg": 0.10492, "aux.acc_seg": 72.66111, "loss": 0.29521, "time": 0.51787} +{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18128, "decode.acc_seg": 74.24549, "aux.loss_seg": 0.10015, "aux.acc_seg": 72.4978, "loss": 0.28143, "time": 0.51303} +{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.17625, "decode.acc_seg": 75.07317, "aux.loss_seg": 0.09853, "aux.acc_seg": 73.29728, "loss": 0.27477, "time": 0.514} +{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.18968, "decode.acc_seg": 75.48682, "aux.loss_seg": 0.10637, "aux.acc_seg": 73.52196, "loss": 0.29604, "time": 0.51158} +{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.17539, "decode.acc_seg": 74.30054, "aux.loss_seg": 0.09899, "aux.acc_seg": 72.44431, "loss": 0.27438, "time": 0.53384} +{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.1765, "decode.acc_seg": 73.63309, "aux.loss_seg": 0.09711, "aux.acc_seg": 71.94974, "loss": 0.27361, "time": 0.52495} +{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.17497, "decode.acc_seg": 74.78774, "aux.loss_seg": 0.09882, "aux.acc_seg": 73.02706, "loss": 0.27379, "time": 0.53271} +{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.1805, "decode.acc_seg": 74.83919, "aux.loss_seg": 0.1026, "aux.acc_seg": 72.88562, "loss": 0.2831, "time": 0.51674} +{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.18361, "decode.acc_seg": 75.33412, "aux.loss_seg": 0.10054, "aux.acc_seg": 73.52256, "loss": 0.28415, "time": 0.51198} +{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.17899, "decode.acc_seg": 75.72589, "aux.loss_seg": 0.10091, "aux.acc_seg": 73.81035, "loss": 0.27989, "time": 0.51122} +{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.19114, "decode.acc_seg": 73.53194, "aux.loss_seg": 0.10628, "aux.acc_seg": 71.55026, "loss": 0.29741, "time": 0.54771} +{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.19413, "decode.acc_seg": 74.94004, "aux.loss_seg": 0.10947, "aux.acc_seg": 72.86617, "loss": 0.3036, "time": 0.53183} +{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.18691, "decode.acc_seg": 74.87777, "aux.loss_seg": 0.10504, "aux.acc_seg": 73.03816, "loss": 0.29195, "time": 0.5194} +{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 22404, "data_time": 0.24851, "decode.loss_seg": 0.19136, "decode.acc_seg": 74.76501, "aux.loss_seg": 0.10656, "aux.acc_seg": 72.85411, "loss": 0.29792, "time": 0.7667} +{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.1812, "decode.acc_seg": 74.34374, "aux.loss_seg": 0.09934, "aux.acc_seg": 72.63711, "loss": 0.28053, "time": 0.51196} +{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.18228, "decode.acc_seg": 74.49869, "aux.loss_seg": 0.10111, "aux.acc_seg": 72.56103, "loss": 0.28339, "time": 0.51392} +{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.17159, "decode.acc_seg": 73.93827, "aux.loss_seg": 0.09853, "aux.acc_seg": 71.96198, "loss": 0.27012, "time": 0.51399} +{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.17981, "decode.acc_seg": 75.42895, "aux.loss_seg": 0.10103, "aux.acc_seg": 73.52205, "loss": 0.28084, "time": 0.50985} +{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17651, "decode.acc_seg": 74.39191, "aux.loss_seg": 0.09671, "aux.acc_seg": 72.65278, "loss": 0.27321, "time": 0.51937} +{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.18575, "decode.acc_seg": 74.50954, "aux.loss_seg": 0.10317, "aux.acc_seg": 72.53412, "loss": 0.28891, "time": 0.52202} +{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.18253, "decode.acc_seg": 76.22917, "aux.loss_seg": 0.10375, "aux.acc_seg": 74.26797, "loss": 0.28628, "time": 0.53767} +{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 22404, "data_time": 0.00668, "decode.loss_seg": 0.17897, "decode.acc_seg": 74.72874, "aux.loss_seg": 0.09908, "aux.acc_seg": 72.93398, "loss": 0.27805, "time": 0.52101} +{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16946, "decode.acc_seg": 72.99448, "aux.loss_seg": 0.09486, "aux.acc_seg": 71.22465, "loss": 0.26432, "time": 0.52323} +{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.17706, "decode.acc_seg": 74.38074, "aux.loss_seg": 0.10037, "aux.acc_seg": 72.48078, "loss": 0.27743, "time": 0.51671} +{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18124, "decode.acc_seg": 74.97284, "aux.loss_seg": 0.10198, "aux.acc_seg": 73.07549, "loss": 0.28322, "time": 0.51502} +{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.18212, "decode.acc_seg": 75.54228, "aux.loss_seg": 0.10348, "aux.acc_seg": 73.54348, "loss": 0.2856, "time": 0.5133} +{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.17966, "decode.acc_seg": 74.22963, "aux.loss_seg": 0.10046, "aux.acc_seg": 72.48907, "loss": 0.28012, "time": 0.51608} +{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.18203, "decode.acc_seg": 74.85935, "aux.loss_seg": 0.10219, "aux.acc_seg": 72.86319, "loss": 0.28422, "time": 0.51189} +{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.19049, "decode.acc_seg": 75.67334, "aux.loss_seg": 0.10591, "aux.acc_seg": 73.68331, "loss": 0.29639, "time": 0.51239} +{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.18491, "decode.acc_seg": 73.98041, "aux.loss_seg": 0.10199, "aux.acc_seg": 72.13459, "loss": 0.2869, "time": 0.52308} +{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.18015, "decode.acc_seg": 74.10545, "aux.loss_seg": 0.10148, "aux.acc_seg": 72.15743, "loss": 0.28163, "time": 0.51817} +{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.18446, "decode.acc_seg": 74.2567, "aux.loss_seg": 0.10048, "aux.acc_seg": 72.52717, "loss": 0.28494, "time": 0.54637} +{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18779, "decode.acc_seg": 74.33399, "aux.loss_seg": 0.10431, "aux.acc_seg": 72.45468, "loss": 0.2921, "time": 0.51732} +{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19209, "decode.acc_seg": 74.2805, "aux.loss_seg": 0.10723, "aux.acc_seg": 72.28131, "loss": 0.29931, "time": 0.5122} +{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.18681, "decode.acc_seg": 73.73798, "aux.loss_seg": 0.10457, "aux.acc_seg": 71.79479, "loss": 0.29138, "time": 0.51435} +{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.18381, "decode.acc_seg": 74.5022, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.60842, "loss": 0.28731, "time": 0.51355} +{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.17544, "decode.acc_seg": 74.04014, "aux.loss_seg": 0.09789, "aux.acc_seg": 72.2701, "loss": 0.27334, "time": 0.50969} +{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.1765, "decode.acc_seg": 73.41014, "aux.loss_seg": 0.10035, "aux.acc_seg": 71.50243, "loss": 0.27684, "time": 0.53807} +{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 22404, "data_time": 0.24479, "decode.loss_seg": 0.18676, "decode.acc_seg": 75.35596, "aux.loss_seg": 0.10539, "aux.acc_seg": 73.341, "loss": 0.29215, "time": 0.76388} +{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.18717, "decode.acc_seg": 74.87833, "aux.loss_seg": 0.10448, "aux.acc_seg": 72.9747, "loss": 0.29165, "time": 0.52394} +{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18364, "decode.acc_seg": 74.46961, "aux.loss_seg": 0.10396, "aux.acc_seg": 72.55155, "loss": 0.2876, "time": 0.50972} +{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.18135, "decode.acc_seg": 75.17793, "aux.loss_seg": 0.10131, "aux.acc_seg": 73.27069, "loss": 0.28266, "time": 0.50748} +{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.18447, "decode.acc_seg": 74.59025, "aux.loss_seg": 0.10295, "aux.acc_seg": 72.65103, "loss": 0.28741, "time": 0.52368} +{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.17809, "decode.acc_seg": 74.74708, "aux.loss_seg": 0.09915, "aux.acc_seg": 72.80902, "loss": 0.27724, "time": 0.5484} +{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.17941, "decode.acc_seg": 74.71495, "aux.loss_seg": 0.09879, "aux.acc_seg": 72.88393, "loss": 0.2782, "time": 0.51093} +{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.18395, "decode.acc_seg": 73.16782, "aux.loss_seg": 0.10007, "aux.acc_seg": 71.43365, "loss": 0.28402, "time": 0.512} +{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.19112, "decode.acc_seg": 74.54843, "aux.loss_seg": 0.10629, "aux.acc_seg": 72.65662, "loss": 0.29741, "time": 0.51485} +{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.1819, "decode.acc_seg": 75.4195, "aux.loss_seg": 0.10157, "aux.acc_seg": 73.48283, "loss": 0.28347, "time": 0.51262} +{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.17969, "decode.acc_seg": 75.8466, "aux.loss_seg": 0.10065, "aux.acc_seg": 74.04113, "loss": 0.28035, "time": 0.51235} +{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.18314, "decode.acc_seg": 75.13193, "aux.loss_seg": 0.10178, "aux.acc_seg": 73.15588, "loss": 0.28492, "time": 0.53708} +{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.18201, "decode.acc_seg": 74.86625, "aux.loss_seg": 0.10063, "aux.acc_seg": 73.20218, "loss": 0.28264, "time": 0.50946} +{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18877, "decode.acc_seg": 74.40316, "aux.loss_seg": 0.10616, "aux.acc_seg": 72.46013, "loss": 0.29492, "time": 0.52081} +{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.17962, "decode.acc_seg": 73.94305, "aux.loss_seg": 0.10319, "aux.acc_seg": 72.08527, "loss": 0.28281, "time": 0.52097} +{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.17998, "decode.acc_seg": 74.76324, "aux.loss_seg": 0.10118, "aux.acc_seg": 72.87856, "loss": 0.28115, "time": 0.51272} +{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.17597, "decode.acc_seg": 74.91447, "aux.loss_seg": 0.10118, "aux.acc_seg": 72.89895, "loss": 0.27715, "time": 0.50619} +{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.18967, "decode.acc_seg": 75.74198, "aux.loss_seg": 0.1061, "aux.acc_seg": 73.86731, "loss": 0.29576, "time": 0.5207} +{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.17579, "decode.acc_seg": 74.54566, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.66475, "loss": 0.27465, "time": 0.52111} +{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.17781, "decode.acc_seg": 74.82829, "aux.loss_seg": 0.10107, "aux.acc_seg": 72.86954, "loss": 0.27889, "time": 0.53345} +{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.16692, "decode.acc_seg": 76.24619, "aux.loss_seg": 0.09291, "aux.acc_seg": 74.53914, "loss": 0.25984, "time": 0.51093} +{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.18626, "decode.acc_seg": 75.48113, "aux.loss_seg": 0.10378, "aux.acc_seg": 73.51711, "loss": 0.29004, "time": 0.51888} +{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.17934, "decode.acc_seg": 73.22113, "aux.loss_seg": 0.10106, "aux.acc_seg": 71.28244, "loss": 0.28039, "time": 0.50906} +{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17655, "decode.acc_seg": 73.47884, "aux.loss_seg": 0.09814, "aux.acc_seg": 71.69944, "loss": 0.27469, "time": 0.53747} +{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.18137, "decode.acc_seg": 75.31356, "aux.loss_seg": 0.10086, "aux.acc_seg": 73.44615, "loss": 0.28223, "time": 0.52786} +{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 22404, "data_time": 0.24327, "decode.loss_seg": 0.18342, "decode.acc_seg": 74.40691, "aux.loss_seg": 0.10271, "aux.acc_seg": 72.4705, "loss": 0.28613, "time": 0.74514} +{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.18792, "decode.acc_seg": 74.18837, "aux.loss_seg": 0.10304, "aux.acc_seg": 72.35305, "loss": 0.29096, "time": 0.50766} +{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18192, "decode.acc_seg": 74.99853, "aux.loss_seg": 0.10217, "aux.acc_seg": 72.99776, "loss": 0.28409, "time": 0.51168} +{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17585, "decode.acc_seg": 75.56675, "aux.loss_seg": 0.09935, "aux.acc_seg": 73.6604, "loss": 0.27521, "time": 0.52678} +{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.17497, "decode.acc_seg": 75.78846, "aux.loss_seg": 0.09893, "aux.acc_seg": 73.78598, "loss": 0.2739, "time": 0.50654} +{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18074, "decode.acc_seg": 75.5502, "aux.loss_seg": 0.10085, "aux.acc_seg": 73.67139, "loss": 0.2816, "time": 0.52782} +{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.17641, "decode.acc_seg": 74.03657, "aux.loss_seg": 0.10008, "aux.acc_seg": 72.15002, "loss": 0.27648, "time": 0.53884} +{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.18299, "decode.acc_seg": 74.79048, "aux.loss_seg": 0.10483, "aux.acc_seg": 72.7161, "loss": 0.28782, "time": 0.52861} +{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19775, "decode.acc_seg": 75.03756, "aux.loss_seg": 0.10792, "aux.acc_seg": 73.22337, "loss": 0.30567, "time": 0.52257} +{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.0594, "aux.loss_seg": 0.10217, "aux.acc_seg": 71.9946, "loss": 0.28397, "time": 0.524} +{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.1862, "decode.acc_seg": 74.24728, "aux.loss_seg": 0.10368, "aux.acc_seg": 72.31308, "loss": 0.28988, "time": 0.54197} +{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.18155, "decode.acc_seg": 75.02816, "aux.loss_seg": 0.10217, "aux.acc_seg": 73.06679, "loss": 0.28372, "time": 0.5137} +{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.17757, "decode.acc_seg": 74.74384, "aux.loss_seg": 0.10142, "aux.acc_seg": 72.78757, "loss": 0.27899, "time": 0.53862} +{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.18193, "decode.acc_seg": 75.41177, "aux.loss_seg": 0.10208, "aux.acc_seg": 73.45246, "loss": 0.28401, "time": 0.52448} +{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17982, "decode.acc_seg": 73.61999, "aux.loss_seg": 0.10443, "aux.acc_seg": 71.5074, "loss": 0.28425, "time": 0.54996} +{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.18256, "decode.acc_seg": 75.14944, "aux.loss_seg": 0.10022, "aux.acc_seg": 73.41091, "loss": 0.28277, "time": 0.5366} +{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17224, "decode.acc_seg": 74.69984, "aux.loss_seg": 0.09916, "aux.acc_seg": 72.67297, "loss": 0.2714, "time": 0.50616} +{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.16803, "decode.acc_seg": 74.47901, "aux.loss_seg": 0.09672, "aux.acc_seg": 72.53529, "loss": 0.26475, "time": 0.51039} +{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.18789, "decode.acc_seg": 75.1888, "aux.loss_seg": 0.10354, "aux.acc_seg": 73.38981, "loss": 0.29143, "time": 0.53411} +{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.17727, "decode.acc_seg": 75.35303, "aux.loss_seg": 0.10092, "aux.acc_seg": 73.39713, "loss": 0.27819, "time": 0.54467} +{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.18165, "decode.acc_seg": 75.84044, "aux.loss_seg": 0.10139, "aux.acc_seg": 74.00839, "loss": 0.28304, "time": 0.51505} +{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18312, "decode.acc_seg": 76.32299, "aux.loss_seg": 0.10197, "aux.acc_seg": 74.46893, "loss": 0.28509, "time": 0.53057} +{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.17984, "decode.acc_seg": 74.23503, "aux.loss_seg": 0.09856, "aux.acc_seg": 72.46813, "loss": 0.27839, "time": 0.51379} +{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18306, "decode.acc_seg": 74.67524, "aux.loss_seg": 0.10276, "aux.acc_seg": 72.79185, "loss": 0.28582, "time": 0.52343} +{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.17935, "decode.acc_seg": 75.05476, "aux.loss_seg": 0.10084, "aux.acc_seg": 73.10629, "loss": 0.28019, "time": 0.52026} +{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 22404, "data_time": 0.25669, "decode.loss_seg": 0.17628, "decode.acc_seg": 75.21674, "aux.loss_seg": 0.09901, "aux.acc_seg": 73.37759, "loss": 0.27529, "time": 0.76731} +{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.17052, "decode.acc_seg": 74.84746, "aux.loss_seg": 0.0967, "aux.acc_seg": 72.91854, "loss": 0.26722, "time": 0.52266} +{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.17274, "decode.acc_seg": 75.03582, "aux.loss_seg": 0.09811, "aux.acc_seg": 73.1936, "loss": 0.27085, "time": 0.51979} +{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.16939, "decode.acc_seg": 75.63021, "aux.loss_seg": 0.09639, "aux.acc_seg": 73.73112, "loss": 0.26578, "time": 0.51683} +{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18408, "decode.acc_seg": 76.25528, "aux.loss_seg": 0.10266, "aux.acc_seg": 74.29903, "loss": 0.28674, "time": 0.52026} +{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.18376, "decode.acc_seg": 74.40579, "aux.loss_seg": 0.10337, "aux.acc_seg": 72.54043, "loss": 0.28713, "time": 0.51285} +{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.17361, "decode.acc_seg": 74.85322, "aux.loss_seg": 0.09739, "aux.acc_seg": 73.09257, "loss": 0.271, "time": 0.5445} +{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.17542, "decode.acc_seg": 76.11878, "aux.loss_seg": 0.09847, "aux.acc_seg": 74.16518, "loss": 0.27388, "time": 0.51405} +{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.17203, "decode.acc_seg": 73.74082, "aux.loss_seg": 0.0968, "aux.acc_seg": 71.99752, "loss": 0.26884, "time": 0.52098} +{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18847, "decode.acc_seg": 74.52875, "aux.loss_seg": 0.1031, "aux.acc_seg": 72.71353, "loss": 0.29157, "time": 0.51028} +{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.18388, "decode.acc_seg": 73.83842, "aux.loss_seg": 0.10081, "aux.acc_seg": 72.07258, "loss": 0.28469, "time": 0.51291} +{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.1819, "decode.acc_seg": 74.67169, "aux.loss_seg": 0.10356, "aux.acc_seg": 72.7566, "loss": 0.28546, "time": 0.51229} +{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.17267, "decode.acc_seg": 75.67636, "aux.loss_seg": 0.09877, "aux.acc_seg": 73.70876, "loss": 0.27144, "time": 0.51227} +{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.17687, "decode.acc_seg": 74.9733, "aux.loss_seg": 0.1008, "aux.acc_seg": 73.10075, "loss": 0.27767, "time": 0.51365} +{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.18362, "decode.acc_seg": 74.35657, "aux.loss_seg": 0.10333, "aux.acc_seg": 72.42147, "loss": 0.28695, "time": 0.51388} +{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.17294, "decode.acc_seg": 74.23081, "aux.loss_seg": 0.09822, "aux.acc_seg": 72.30763, "loss": 0.27116, "time": 0.51368} +{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.18736, "decode.acc_seg": 75.1817, "aux.loss_seg": 0.10509, "aux.acc_seg": 73.17649, "loss": 0.29245, "time": 0.5138} +{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.17847, "decode.acc_seg": 74.60541, "aux.loss_seg": 0.10047, "aux.acc_seg": 72.76556, "loss": 0.27894, "time": 0.51118} +{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19762, "decode.acc_seg": 74.52595, "aux.loss_seg": 0.10808, "aux.acc_seg": 72.61264, "loss": 0.3057, "time": 0.51037} +{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.17968, "decode.acc_seg": 75.84083, "aux.loss_seg": 0.10023, "aux.acc_seg": 73.97312, "loss": 0.27991, "time": 0.5102} +{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.1742, "decode.acc_seg": 74.47013, "aux.loss_seg": 0.09805, "aux.acc_seg": 72.55268, "loss": 0.27225, "time": 0.52824} +{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.18042, "decode.acc_seg": 75.89071, "aux.loss_seg": 0.10125, "aux.acc_seg": 73.94313, "loss": 0.28167, "time": 0.51452} +{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.17946, "decode.acc_seg": 74.01706, "aux.loss_seg": 0.10119, "aux.acc_seg": 72.10125, "loss": 0.28066, "time": 0.51355} +{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.18351, "decode.acc_seg": 74.7339, "aux.loss_seg": 0.10293, "aux.acc_seg": 72.82929, "loss": 0.28644, "time": 0.51476} +{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.18696, "decode.acc_seg": 75.3058, "aux.loss_seg": 0.10537, "aux.acc_seg": 73.26969, "loss": 0.29234, "time": 0.51457} +{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.16802, "decode.acc_seg": 74.70838, "aux.loss_seg": 0.09552, "aux.acc_seg": 72.89105, "loss": 0.26354, "time": 0.52894} +{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 22404, "data_time": 0.24121, "decode.loss_seg": 0.18933, "decode.acc_seg": 76.04036, "aux.loss_seg": 0.1063, "aux.acc_seg": 73.94377, "loss": 0.29563, "time": 0.75418} +{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.17096, "decode.acc_seg": 75.17444, "aux.loss_seg": 0.09639, "aux.acc_seg": 73.33365, "loss": 0.26734, "time": 0.53235} +{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16781, "decode.acc_seg": 74.87154, "aux.loss_seg": 0.09497, "aux.acc_seg": 73.00711, "loss": 0.26278, "time": 0.50777} +{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.17379, "decode.acc_seg": 72.65198, "aux.loss_seg": 0.09679, "aux.acc_seg": 70.89894, "loss": 0.27058, "time": 0.51181} +{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.18359, "decode.acc_seg": 74.04197, "aux.loss_seg": 0.10345, "aux.acc_seg": 72.08499, "loss": 0.28704, "time": 0.53094} +{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.17234, "decode.acc_seg": 76.51967, "aux.loss_seg": 0.09909, "aux.acc_seg": 74.52759, "loss": 0.27142, "time": 0.50824} +{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.18069, "decode.acc_seg": 74.81016, "aux.loss_seg": 0.10145, "aux.acc_seg": 72.87861, "loss": 0.28215, "time": 0.51192} +{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.17635, "decode.acc_seg": 74.88901, "aux.loss_seg": 0.09892, "aux.acc_seg": 73.05821, "loss": 0.27526, "time": 0.5125} +{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.18616, "decode.acc_seg": 73.56446, "aux.loss_seg": 0.10152, "aux.acc_seg": 71.67384, "loss": 0.28769, "time": 0.5287} +{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19768, "decode.acc_seg": 74.14012, "aux.loss_seg": 0.10863, "aux.acc_seg": 72.2492, "loss": 0.30631, "time": 0.51851} +{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.31518, "aux.loss_seg": 0.09885, "aux.acc_seg": 73.59133, "loss": 0.27695, "time": 0.51197} +{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.18017, "decode.acc_seg": 75.28631, "aux.loss_seg": 0.09971, "aux.acc_seg": 73.46375, "loss": 0.27988, "time": 0.53629} +{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.17616, "decode.acc_seg": 75.27826, "aux.loss_seg": 0.09896, "aux.acc_seg": 73.36819, "loss": 0.27512, "time": 0.52996} +{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.179, "decode.acc_seg": 73.73481, "aux.loss_seg": 0.09961, "aux.acc_seg": 71.79879, "loss": 0.27861, "time": 0.53306} +{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.19079, "decode.acc_seg": 74.65504, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.87742, "loss": 0.29428, "time": 0.54184} +{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.1875, "decode.acc_seg": 74.98014, "aux.loss_seg": 0.1054, "aux.acc_seg": 72.98819, "loss": 0.2929, "time": 0.52779} +{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 22404, "data_time": 0.00674, "decode.loss_seg": 0.17616, "decode.acc_seg": 74.49205, "aux.loss_seg": 0.1007, "aux.acc_seg": 72.48701, "loss": 0.27685, "time": 0.52337} +{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17495, "decode.acc_seg": 75.04438, "aux.loss_seg": 0.09837, "aux.acc_seg": 73.14272, "loss": 0.27332, "time": 0.51515} +{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17262, "decode.acc_seg": 75.57045, "aux.loss_seg": 0.0981, "aux.acc_seg": 73.66248, "loss": 0.27072, "time": 0.52481} +{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.18434, "decode.acc_seg": 73.97084, "aux.loss_seg": 0.10433, "aux.acc_seg": 72.1497, "loss": 0.28867, "time": 0.53264} +{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.17241, "decode.acc_seg": 73.78878, "aux.loss_seg": 0.09699, "aux.acc_seg": 71.98916, "loss": 0.2694, "time": 0.54238} +{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17914, "decode.acc_seg": 74.99876, "aux.loss_seg": 0.0981, "aux.acc_seg": 73.23166, "loss": 0.27724, "time": 0.5153} +{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17864, "decode.acc_seg": 75.72103, "aux.loss_seg": 0.09913, "aux.acc_seg": 74.02794, "loss": 0.27777, "time": 0.51179} +{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18723, "decode.acc_seg": 74.51795, "aux.loss_seg": 0.10035, "aux.acc_seg": 73.00088, "loss": 0.28758, "time": 0.51628} +{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.18132, "decode.acc_seg": 76.29429, "aux.loss_seg": 0.10165, "aux.acc_seg": 74.36492, "loss": 0.28297, "time": 0.51107} +{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 22404, "data_time": 0.24686, "decode.loss_seg": 0.16646, "decode.acc_seg": 74.99559, "aux.loss_seg": 0.09285, "aux.acc_seg": 73.17591, "loss": 0.25931, "time": 0.74667} +{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.1817, "decode.acc_seg": 75.76196, "aux.loss_seg": 0.10183, "aux.acc_seg": 73.85844, "loss": 0.28353, "time": 0.5089} +{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18092, "decode.acc_seg": 75.77237, "aux.loss_seg": 0.10105, "aux.acc_seg": 73.90704, "loss": 0.28196, "time": 0.50815} +{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.1706, "decode.acc_seg": 73.55781, "aux.loss_seg": 0.09886, "aux.acc_seg": 71.56972, "loss": 0.26947, "time": 0.53075} +{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.1863, "decode.acc_seg": 75.0132, "aux.loss_seg": 0.10593, "aux.acc_seg": 72.918, "loss": 0.29223, "time": 0.53606} +{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.16839, "decode.acc_seg": 74.48313, "aux.loss_seg": 0.0949, "aux.acc_seg": 72.73949, "loss": 0.26329, "time": 0.51262} +{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.18216, "decode.acc_seg": 75.41193, "aux.loss_seg": 0.10087, "aux.acc_seg": 73.64221, "loss": 0.28303, "time": 0.51546} +{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17796, "decode.acc_seg": 74.93002, "aux.loss_seg": 0.09895, "aux.acc_seg": 73.08109, "loss": 0.2769, "time": 0.5336} +{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.18022, "decode.acc_seg": 74.35508, "aux.loss_seg": 0.09865, "aux.acc_seg": 72.58808, "loss": 0.27887, "time": 0.53343} +{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17633, "decode.acc_seg": 74.43966, "aux.loss_seg": 0.09933, "aux.acc_seg": 72.53966, "loss": 0.27566, "time": 0.50919} +{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17367, "decode.acc_seg": 75.08161, "aux.loss_seg": 0.09814, "aux.acc_seg": 73.1996, "loss": 0.27181, "time": 0.54012} +{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.18848, "decode.acc_seg": 75.42938, "aux.loss_seg": 0.10422, "aux.acc_seg": 73.64731, "loss": 0.2927, "time": 0.53579} +{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.17648, "decode.acc_seg": 75.09876, "aux.loss_seg": 0.09975, "aux.acc_seg": 73.16207, "loss": 0.27623, "time": 0.52556} +{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.17204, "decode.acc_seg": 74.06155, "aux.loss_seg": 0.09581, "aux.acc_seg": 72.33605, "loss": 0.26785, "time": 0.51759} +{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.174, "decode.acc_seg": 75.24498, "aux.loss_seg": 0.09757, "aux.acc_seg": 73.4204, "loss": 0.27158, "time": 0.51645} +{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.17847, "decode.acc_seg": 74.5313, "aux.loss_seg": 0.10168, "aux.acc_seg": 72.56437, "loss": 0.28015, "time": 0.51013} +{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.1774, "decode.acc_seg": 75.49521, "aux.loss_seg": 0.09831, "aux.acc_seg": 73.81652, "loss": 0.27571, "time": 0.52417} +{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.17383, "decode.acc_seg": 74.19342, "aux.loss_seg": 0.09918, "aux.acc_seg": 72.22487, "loss": 0.27301, "time": 0.51592} +{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.17942, "decode.acc_seg": 75.54994, "aux.loss_seg": 0.09813, "aux.acc_seg": 73.78629, "loss": 0.27755, "time": 0.52676} +{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17751, "decode.acc_seg": 74.61288, "aux.loss_seg": 0.10067, "aux.acc_seg": 72.63385, "loss": 0.27817, "time": 0.51007} +{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.17538, "decode.acc_seg": 75.24181, "aux.loss_seg": 0.09791, "aux.acc_seg": 73.48974, "loss": 0.27329, "time": 0.52065} +{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.17649, "decode.acc_seg": 73.94375, "aux.loss_seg": 0.101, "aux.acc_seg": 71.82121, "loss": 0.27749, "time": 0.51384} +{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.1772, "decode.acc_seg": 72.75109, "aux.loss_seg": 0.09972, "aux.acc_seg": 70.91522, "loss": 0.27692, "time": 0.51162} +{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18431, "decode.acc_seg": 75.17075, "aux.loss_seg": 0.10634, "aux.acc_seg": 73.04384, "loss": 0.29065, "time": 0.51523} +{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.18758, "decode.acc_seg": 74.41966, "aux.loss_seg": 0.10532, "aux.acc_seg": 72.48579, "loss": 0.2929, "time": 0.51478} +{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 22404, "data_time": 0.24903, "decode.loss_seg": 0.17032, "decode.acc_seg": 74.80659, "aux.loss_seg": 0.09743, "aux.acc_seg": 72.90868, "loss": 0.26775, "time": 0.76592} +{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17267, "decode.acc_seg": 74.38959, "aux.loss_seg": 0.09794, "aux.acc_seg": 72.52152, "loss": 0.27061, "time": 0.51301} +{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17415, "decode.acc_seg": 73.88088, "aux.loss_seg": 0.1008, "aux.acc_seg": 71.81607, "loss": 0.27495, "time": 0.53592} +{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.17287, "decode.acc_seg": 74.67048, "aux.loss_seg": 0.09708, "aux.acc_seg": 72.87086, "loss": 0.26995, "time": 0.54922} +{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.17882, "decode.acc_seg": 74.87284, "aux.loss_seg": 0.09979, "aux.acc_seg": 73.07058, "loss": 0.27862, "time": 0.51815} +{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18794, "decode.acc_seg": 75.58571, "aux.loss_seg": 0.10816, "aux.acc_seg": 73.3612, "loss": 0.2961, "time": 0.51219} +{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.18001, "decode.acc_seg": 73.89926, "aux.loss_seg": 0.10263, "aux.acc_seg": 71.84647, "loss": 0.28264, "time": 0.51994} +{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.17077, "decode.acc_seg": 73.61063, "aux.loss_seg": 0.09565, "aux.acc_seg": 71.81009, "loss": 0.26642, "time": 0.51109} +{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18345, "decode.acc_seg": 74.95054, "aux.loss_seg": 0.10201, "aux.acc_seg": 73.02735, "loss": 0.28546, "time": 0.51927} +{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.17463, "decode.acc_seg": 74.76749, "aux.loss_seg": 0.09822, "aux.acc_seg": 72.91741, "loss": 0.27286, "time": 0.53506} +{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.1841, "decode.acc_seg": 75.26111, "aux.loss_seg": 0.10374, "aux.acc_seg": 73.25658, "loss": 0.28784, "time": 0.50942} +{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.18195, "decode.acc_seg": 76.37331, "aux.loss_seg": 0.10051, "aux.acc_seg": 74.59009, "loss": 0.28246, "time": 0.50933} +{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.15976, "decode.acc_seg": 74.61539, "aux.loss_seg": 0.09182, "aux.acc_seg": 72.75816, "loss": 0.25159, "time": 0.51612} +{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.18217, "decode.acc_seg": 75.04209, "aux.loss_seg": 0.10198, "aux.acc_seg": 73.15037, "loss": 0.28415, "time": 0.53062} +{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.17599, "decode.acc_seg": 74.10741, "aux.loss_seg": 0.09872, "aux.acc_seg": 72.36496, "loss": 0.27471, "time": 0.51233} +{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.18163, "decode.acc_seg": 74.2614, "aux.loss_seg": 0.10115, "aux.acc_seg": 72.43815, "loss": 0.28279, "time": 0.51292} +{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.17453, "decode.acc_seg": 75.40442, "aux.loss_seg": 0.09745, "aux.acc_seg": 73.70333, "loss": 0.27199, "time": 0.51186} +{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17337, "decode.acc_seg": 75.92452, "aux.loss_seg": 0.09809, "aux.acc_seg": 74.05334, "loss": 0.27146, "time": 0.52769} +{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.176, "decode.acc_seg": 74.64885, "aux.loss_seg": 0.09833, "aux.acc_seg": 72.84809, "loss": 0.27433, "time": 0.51636} +{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.17737, "decode.acc_seg": 75.25652, "aux.loss_seg": 0.09919, "aux.acc_seg": 73.44283, "loss": 0.27656, "time": 0.53324} +{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.17916, "decode.acc_seg": 75.34094, "aux.loss_seg": 0.09925, "aux.acc_seg": 73.62366, "loss": 0.27841, "time": 0.53237} +{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.16891, "decode.acc_seg": 74.67576, "aux.loss_seg": 0.09639, "aux.acc_seg": 72.66799, "loss": 0.2653, "time": 0.51497} +{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.17428, "decode.acc_seg": 75.28751, "aux.loss_seg": 0.09962, "aux.acc_seg": 73.36438, "loss": 0.27389, "time": 0.52142} +{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.17016, "decode.acc_seg": 74.64925, "aux.loss_seg": 0.09814, "aux.acc_seg": 72.6252, "loss": 0.26829, "time": 0.52958} +{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.17414, "decode.acc_seg": 75.52044, "aux.loss_seg": 0.09904, "aux.acc_seg": 73.62315, "loss": 0.27318, "time": 0.51176} +{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.17065, "decode.acc_seg": 73.48604, "aux.loss_seg": 0.0953, "aux.acc_seg": 71.70199, "loss": 0.26595, "time": 0.50817} +{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 22404, "data_time": 0.24922, "decode.loss_seg": 0.17581, "decode.acc_seg": 74.885, "aux.loss_seg": 0.09842, "aux.acc_seg": 73.01353, "loss": 0.27422, "time": 0.75722} +{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.16767, "decode.acc_seg": 75.65373, "aux.loss_seg": 0.09512, "aux.acc_seg": 73.87411, "loss": 0.26279, "time": 0.51209} +{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.16737, "decode.acc_seg": 74.89476, "aux.loss_seg": 0.09413, "aux.acc_seg": 73.15027, "loss": 0.2615, "time": 0.51332} +{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18258, "decode.acc_seg": 74.71083, "aux.loss_seg": 0.10388, "aux.acc_seg": 72.66693, "loss": 0.28646, "time": 0.52778} +{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17755, "decode.acc_seg": 75.01671, "aux.loss_seg": 0.09967, "aux.acc_seg": 73.17657, "loss": 0.27723, "time": 0.5147} +{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17913, "decode.acc_seg": 74.1965, "aux.loss_seg": 0.10092, "aux.acc_seg": 72.34711, "loss": 0.28006, "time": 0.53042} +{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.17563, "decode.acc_seg": 75.48385, "aux.loss_seg": 0.10064, "aux.acc_seg": 73.41581, "loss": 0.27627, "time": 0.51624} +{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.17139, "decode.acc_seg": 74.48058, "aux.loss_seg": 0.09645, "aux.acc_seg": 72.66884, "loss": 0.26784, "time": 0.51243} +{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.17557, "decode.acc_seg": 73.21128, "aux.loss_seg": 0.09834, "aux.acc_seg": 71.48046, "loss": 0.27391, "time": 0.54747} +{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.17428, "decode.acc_seg": 74.72606, "aux.loss_seg": 0.1003, "aux.acc_seg": 72.7936, "loss": 0.27458, "time": 0.5118} +{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17834, "decode.acc_seg": 74.78174, "aux.loss_seg": 0.10094, "aux.acc_seg": 72.84959, "loss": 0.27929, "time": 0.51226} +{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16946, "decode.acc_seg": 75.07553, "aux.loss_seg": 0.09404, "aux.acc_seg": 73.28374, "loss": 0.2635, "time": 0.51232} +{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.17292, "decode.acc_seg": 74.81761, "aux.loss_seg": 0.09966, "aux.acc_seg": 72.80469, "loss": 0.27257, "time": 0.51243} +{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16711, "decode.acc_seg": 75.45006, "aux.loss_seg": 0.0965, "aux.acc_seg": 73.46857, "loss": 0.26361, "time": 0.50956} +{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.18025, "decode.acc_seg": 74.91613, "aux.loss_seg": 0.10115, "aux.acc_seg": 72.99235, "loss": 0.2814, "time": 0.51055} +{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.18539, "decode.acc_seg": 75.2485, "aux.loss_seg": 0.10402, "aux.acc_seg": 73.41967, "loss": 0.2894, "time": 0.51517} +{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17877, "decode.acc_seg": 74.90461, "aux.loss_seg": 0.1001, "aux.acc_seg": 73.00649, "loss": 0.27886, "time": 0.51705} +{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.17513, "decode.acc_seg": 74.50341, "aux.loss_seg": 0.10127, "aux.acc_seg": 72.44178, "loss": 0.2764, "time": 0.51541} +{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.60291, "aux.loss_seg": 0.09747, "aux.acc_seg": 73.591, "loss": 0.26711, "time": 0.52597} +{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.16787, "decode.acc_seg": 73.9604, "aux.loss_seg": 0.09234, "aux.acc_seg": 72.38582, "loss": 0.26021, "time": 0.51467} +{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.17762, "decode.acc_seg": 75.28418, "aux.loss_seg": 0.10013, "aux.acc_seg": 73.43029, "loss": 0.27775, "time": 0.53639} +{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.18122, "decode.acc_seg": 75.23745, "aux.loss_seg": 0.10338, "aux.acc_seg": 73.16301, "loss": 0.2846, "time": 0.54375} +{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.17448, "decode.acc_seg": 74.47023, "aux.loss_seg": 0.09628, "aux.acc_seg": 72.7314, "loss": 0.27076, "time": 0.54247} +{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.16828, "decode.acc_seg": 74.38283, "aux.loss_seg": 0.09309, "aux.acc_seg": 72.72975, "loss": 0.26137, "time": 0.51662} +{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.16884, "decode.acc_seg": 75.53456, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.60778, "loss": 0.26515, "time": 0.52692} +{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 22404, "data_time": 0.24606, "decode.loss_seg": 0.17607, "decode.acc_seg": 75.03323, "aux.loss_seg": 0.09994, "aux.acc_seg": 73.16966, "loss": 0.276, "time": 0.74633} +{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16524, "decode.acc_seg": 74.74158, "aux.loss_seg": 0.09408, "aux.acc_seg": 72.86136, "loss": 0.25932, "time": 0.51363} +{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.17846, "decode.acc_seg": 74.9358, "aux.loss_seg": 0.09855, "aux.acc_seg": 73.19142, "loss": 0.27701, "time": 0.51285} +{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17283, "decode.acc_seg": 75.71407, "aux.loss_seg": 0.09748, "aux.acc_seg": 73.83238, "loss": 0.2703, "time": 0.53807} +{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17296, "decode.acc_seg": 75.48038, "aux.loss_seg": 0.09996, "aux.acc_seg": 73.51994, "loss": 0.27292, "time": 0.51322} +{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17089, "decode.acc_seg": 74.63814, "aux.loss_seg": 0.09845, "aux.acc_seg": 72.64395, "loss": 0.26934, "time": 0.51343} +{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.16781, "decode.acc_seg": 73.36674, "aux.loss_seg": 0.09392, "aux.acc_seg": 71.70922, "loss": 0.26173, "time": 0.51099} +{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18234, "decode.acc_seg": 75.0476, "aux.loss_seg": 0.10315, "aux.acc_seg": 73.20698, "loss": 0.28549, "time": 0.51587} +{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4716, "mAcc": 0.591, "aAcc": 0.8228, "IoU.wall": 0.761, "IoU.building": 0.8084, "IoU.sky": 0.9387, "IoU.floor": 0.8071, "IoU.tree": 0.7347, "IoU.ceiling": 0.843, "IoU.road": 0.834, "IoU.bed ": 0.8864, "IoU.windowpane": 0.6075, "IoU.grass": 0.6566, "IoU.cabinet": 0.6057, "IoU.sidewalk": 0.6426, "IoU.person": 0.7785, "IoU.earth": 0.3808, "IoU.door": 0.4715, "IoU.table": 0.5416, "IoU.mountain": 0.5774, "IoU.plant": 0.5281, "IoU.curtain": 0.7137, "IoU.chair": 0.5456, "IoU.car": 0.8264, "IoU.water": 0.5546, "IoU.painting": 0.7098, "IoU.sofa": 0.6096, "IoU.shelf": 0.4481, "IoU.house": 0.35, "IoU.sea": 0.5817, "IoU.mirror": 0.6443, "IoU.rug": 0.5778, "IoU.field": 0.2919, "IoU.armchair": 0.3896, "IoU.seat": 0.614, "IoU.fence": 0.4675, "IoU.desk": 0.4524, "IoU.rock": 0.4111, "IoU.wardrobe": 0.4988, "IoU.lamp": 0.5941, "IoU.bathtub": 0.7624, "IoU.railing": 0.3498, "IoU.cushion": 0.5248, "IoU.base": 0.3009, "IoU.box": 0.2712, "IoU.column": 0.4218, "IoU.signboard": 0.3739, "IoU.chest of drawers": 0.4004, "IoU.counter": 0.2423, "IoU.sand": 0.4873, "IoU.sink": 0.6916, "IoU.skyscraper": 0.6182, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7437, "IoU.grandstand": 0.4044, "IoU.path": 0.2307, "IoU.stairs": 0.3199, "IoU.runway": 0.6983, "IoU.case": 0.508, "IoU.pool table": 0.9125, "IoU.pillow": 0.5453, "IoU.screen door": 0.7382, "IoU.stairway": 0.3391, "IoU.river": 0.1201, "IoU.bridge": 0.6693, "IoU.bookcase": 0.3784, "IoU.blind": NaN, "IoU.coffee table": 0.4923, "IoU.toilet": 0.829, "IoU.flower": 0.4046, "IoU.book": 0.4454, "IoU.hill": 0.0603, "IoU.bench": 0.4176, "IoU.countertop": 0.4874, "IoU.stove": 0.7044, "IoU.palm": 0.4826, "IoU.kitchen island": 0.3722, "IoU.computer": 0.6865, "IoU.swivel chair": 0.4451, "IoU.boat": 0.4274, "IoU.bar": 0.2261, "IoU.arcade machine": 0.626, "IoU.hovel": 0.3789, "IoU.bus": 0.8154, "IoU.towel": 0.6031, "IoU.light": 0.5122, "IoU.truck": 0.359, "IoU.tower": 0.0803, "IoU.chandelier": 0.6379, "IoU.awning": 0.2541, "IoU.streetlight": 0.2127, "IoU.booth": 0.5515, "IoU.television receiver": NaN, "IoU.airplane": 0.6229, "IoU.dirt track": 0.0521, "IoU.apparel": 0.25, "IoU.pole": 0.1722, "IoU.land": 0.0431, "IoU.bannister": 0.1018, "IoU.escalator": 0.4116, "IoU.ottoman": 0.3823, "IoU.bottle": NaN, "IoU.buffet": 0.4006, "IoU.poster": 0.2991, "IoU.stage": 0.1553, "IoU.van": 0.3863, "IoU.ship": 0.6375, "IoU.fountain": 0.2315, "IoU.conveyer belt": 0.7512, "IoU.canopy": 0.1308, "IoU.washer": 0.7671, "IoU.plaything": 0.289, "IoU.swimming pool": 0.5807, "IoU.stool": 0.4376, "IoU.barrel": 0.4212, "IoU.basket": 0.2948, "IoU.waterfall": 0.4896, "IoU.tent": 0.9277, "IoU.bag": 0.1063, "IoU.minibike": 0.7373, "IoU.cradle": NaN, "IoU.oven": 0.3709, "IoU.ball": 0.4052, "IoU.food": 0.3407, "IoU.step": 0.1117, "IoU.tank": 0.4864, "IoU.trade name": 0.2737, "IoU.microwave": 0.6799, "IoU.pot": 0.5179, "IoU.animal": NaN, "IoU.bicycle": 0.5384, "IoU.lake": 0.4257, "IoU.dishwasher": 0.528, "IoU.screen": 0.708, "IoU.blanket": 0.1539, "IoU.sculpture": 0.545, "IoU.hood": 0.594, "IoU.sconce": 0.4287, "IoU.vase": 0.3432, "IoU.traffic light": 0.2944, "IoU.tray": 0.0989, "IoU.ashcan": 0.4221, "IoU.fan": 0.5681, "IoU.pier": 0.3017, "IoU.crt screen": 0.0431, "IoU.plate": 0.5327, "IoU.monitor": 0.0438, "IoU.bulletin board": 0.395, "IoU.shower": 0.0226, "IoU.radiator": 0.5347, "IoU.glass": 0.1207, "IoU.clock": 0.3391, "IoU.flag": 0.4195, "Acc.wall": 0.8748, "Acc.building": 0.9171, "Acc.sky": 0.9705, "Acc.floor": 0.904, "Acc.tree": 0.874, "Acc.ceiling": 0.9297, "Acc.road": 0.8998, "Acc.bed ": 0.9487, "Acc.windowpane": 0.7859, "Acc.grass": 0.8127, "Acc.cabinet": 0.7352, "Acc.sidewalk": 0.812, "Acc.person": 0.906, "Acc.earth": 0.5095, "Acc.door": 0.605, "Acc.table": 0.7301, "Acc.mountain": 0.7285, "Acc.plant": 0.6338, "Acc.curtain": 0.8312, "Acc.chair": 0.708, "Acc.car": 0.9136, "Acc.water": 0.7326, "Acc.painting": 0.8567, "Acc.sofa": 0.7865, "Acc.shelf": 0.6151, "Acc.house": 0.4268, "Acc.sea": 0.7848, "Acc.mirror": 0.6998, "Acc.rug": 0.6953, "Acc.field": 0.4941, "Acc.armchair": 0.5592, "Acc.seat": 0.8342, "Acc.fence": 0.6203, "Acc.desk": 0.6371, "Acc.rock": 0.6601, "Acc.wardrobe": 0.6449, "Acc.lamp": 0.7359, "Acc.bathtub": 0.8205, "Acc.railing": 0.4584, "Acc.cushion": 0.6849, "Acc.base": 0.449, "Acc.box": 0.3434, "Acc.column": 0.5514, "Acc.signboard": 0.5139, "Acc.chest of drawers": 0.569, "Acc.counter": 0.31, "Acc.sand": 0.7291, "Acc.sink": 0.7857, "Acc.skyscraper": 0.7718, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8665, "Acc.grandstand": 0.6095, "Acc.path": 0.33, "Acc.stairs": 0.4176, "Acc.runway": 0.9337, "Acc.case": 0.6729, "Acc.pool table": 0.9604, "Acc.pillow": 0.654, "Acc.screen door": 0.8126, "Acc.stairway": 0.3812, "Acc.river": 0.2481, "Acc.bridge": 0.7786, "Acc.bookcase": 0.4464, "Acc.blind": NaN, "Acc.coffee table": 0.7918, "Acc.toilet": 0.8879, "Acc.flower": 0.5101, "Acc.book": 0.6274, "Acc.hill": 0.0768, "Acc.bench": 0.486, "Acc.countertop": 0.6657, "Acc.stove": 0.8286, "Acc.palm": 0.6972, "Acc.kitchen island": 0.7882, "Acc.computer": 0.8355, "Acc.swivel chair": 0.6768, "Acc.boat": 0.5136, "Acc.bar": 0.2948, "Acc.arcade machine": 0.6783, "Acc.hovel": 0.4291, "Acc.bus": 0.9109, "Acc.towel": 0.7164, "Acc.light": 0.5699, "Acc.truck": 0.4993, "Acc.tower": 0.1358, "Acc.chandelier": 0.8398, "Acc.awning": 0.2898, "Acc.streetlight": 0.2842, "Acc.booth": 0.6658, "Acc.television receiver": NaN, "Acc.airplane": 0.71, "Acc.dirt track": 0.068, "Acc.apparel": 0.4007, "Acc.pole": 0.2311, "Acc.land": 0.0555, "Acc.bannister": 0.1338, "Acc.escalator": 0.5844, "Acc.ottoman": 0.5182, "Acc.bottle": NaN, "Acc.buffet": 0.4573, "Acc.poster": 0.4708, "Acc.stage": 0.2586, "Acc.van": 0.5119, "Acc.ship": 0.9284, "Acc.fountain": 0.2428, "Acc.conveyer belt": 0.8522, "Acc.canopy": 0.17, "Acc.washer": 0.7903, "Acc.plaything": 0.4521, "Acc.swimming pool": 0.8278, "Acc.stool": 0.5566, "Acc.barrel": 0.6913, "Acc.basket": 0.3551, "Acc.waterfall": 0.6764, "Acc.tent": 0.9865, "Acc.bag": 0.1229, "Acc.minibike": 0.8897, "Acc.cradle": NaN, "Acc.oven": 0.4658, "Acc.ball": 0.4449, "Acc.food": 0.3833, "Acc.step": 0.1268, "Acc.tank": 0.5716, "Acc.trade name": 0.3254, "Acc.microwave": 0.7918, "Acc.pot": 0.573, "Acc.animal": NaN, "Acc.bicycle": 0.7669, "Acc.lake": 0.4365, "Acc.dishwasher": 0.6569, "Acc.screen": 0.8706, "Acc.blanket": 0.1814, "Acc.sculpture": 0.7772, "Acc.hood": 0.6819, "Acc.sconce": 0.5313, "Acc.vase": 0.5079, "Acc.traffic light": 0.4632, "Acc.tray": 0.1982, "Acc.ashcan": 0.5285, "Acc.fan": 0.7237, "Acc.pier": 0.4887, "Acc.crt screen": 0.1146, "Acc.plate": 0.7188, "Acc.monitor": 0.0501, "Acc.bulletin board": 0.5406, "Acc.shower": 0.0242, "Acc.radiator": 0.5942, "Acc.glass": 0.1308, "Acc.clock": 0.4025, "Acc.flag": 0.4816} +{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 22404, "data_time": 1.57064, "decode.loss_seg": 0.17214, "decode.acc_seg": 75.32816, "aux.loss_seg": 0.098, "aux.acc_seg": 73.53496, "loss": 0.27014, "time": 2.07581} +{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.17606, "decode.acc_seg": 74.68109, "aux.loss_seg": 0.09823, "aux.acc_seg": 72.82944, "loss": 0.27429, "time": 0.53486} +{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.1692, "decode.acc_seg": 75.52802, "aux.loss_seg": 0.09956, "aux.acc_seg": 73.34321, "loss": 0.26876, "time": 0.52883} +{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.1831, "decode.acc_seg": 74.67603, "aux.loss_seg": 0.10283, "aux.acc_seg": 72.77604, "loss": 0.28594, "time": 0.51885} +{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.17068, "decode.acc_seg": 75.09155, "aux.loss_seg": 0.09671, "aux.acc_seg": 73.19817, "loss": 0.26738, "time": 0.51608} +{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.16587, "decode.acc_seg": 75.41442, "aux.loss_seg": 0.09493, "aux.acc_seg": 73.58796, "loss": 0.26079, "time": 0.52638} +{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.17191, "decode.acc_seg": 73.5627, "aux.loss_seg": 0.09742, "aux.acc_seg": 71.74212, "loss": 0.26932, "time": 0.54489} +{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.17296, "decode.acc_seg": 74.80742, "aux.loss_seg": 0.09756, "aux.acc_seg": 72.84929, "loss": 0.27052, "time": 0.54219} +{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.17615, "decode.acc_seg": 75.24773, "aux.loss_seg": 0.09831, "aux.acc_seg": 73.47494, "loss": 0.27446, "time": 0.522} +{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.18222, "decode.acc_seg": 75.7348, "aux.loss_seg": 0.10003, "aux.acc_seg": 74.00169, "loss": 0.28225, "time": 0.51261} +{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.16645, "decode.acc_seg": 76.17512, "aux.loss_seg": 0.09301, "aux.acc_seg": 74.36572, "loss": 0.25947, "time": 0.50739} +{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.17641, "decode.acc_seg": 74.82459, "aux.loss_seg": 0.10022, "aux.acc_seg": 72.8718, "loss": 0.27664, "time": 0.51025} +{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.17186, "decode.acc_seg": 75.24121, "aux.loss_seg": 0.09786, "aux.acc_seg": 73.36209, "loss": 0.26972, "time": 0.512} +{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.17959, "decode.acc_seg": 75.37578, "aux.loss_seg": 0.10044, "aux.acc_seg": 73.49486, "loss": 0.28003, "time": 0.51252} +{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.16722, "decode.acc_seg": 74.33586, "aux.loss_seg": 0.09433, "aux.acc_seg": 72.54596, "loss": 0.26156, "time": 0.52475} +{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.17291, "decode.acc_seg": 75.13871, "aux.loss_seg": 0.09529, "aux.acc_seg": 73.53416, "loss": 0.2682, "time": 0.51739} +{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 22404, "data_time": 0.24206, "decode.loss_seg": 0.17334, "decode.acc_seg": 74.35356, "aux.loss_seg": 0.09778, "aux.acc_seg": 72.50079, "loss": 0.27112, "time": 0.74387} +{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.16479, "decode.acc_seg": 74.04067, "aux.loss_seg": 0.0925, "aux.acc_seg": 72.33811, "loss": 0.25729, "time": 0.51036} +{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.98367, "aux.loss_seg": 0.09937, "aux.acc_seg": 73.019, "loss": 0.27517, "time": 0.51105} +{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.16453, "decode.acc_seg": 73.86352, "aux.loss_seg": 0.09527, "aux.acc_seg": 71.85436, "loss": 0.2598, "time": 0.52415} +{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.16545, "decode.acc_seg": 74.00008, "aux.loss_seg": 0.09545, "aux.acc_seg": 72.05711, "loss": 0.26089, "time": 0.51705} +{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.17218, "decode.acc_seg": 74.23854, "aux.loss_seg": 0.09884, "aux.acc_seg": 72.24722, "loss": 0.27102, "time": 0.51497} +{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 22404, "data_time": 0.0062, "decode.loss_seg": 0.17721, "decode.acc_seg": 76.10276, "aux.loss_seg": 0.0964, "aux.acc_seg": 74.3798, "loss": 0.2736, "time": 0.52244} +{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.17216, "decode.acc_seg": 75.69889, "aux.loss_seg": 0.09887, "aux.acc_seg": 73.68236, "loss": 0.27103, "time": 0.54402} +{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.16538, "decode.acc_seg": 74.9164, "aux.loss_seg": 0.09549, "aux.acc_seg": 72.9332, "loss": 0.26087, "time": 0.51281} +{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.1772, "decode.acc_seg": 74.23258, "aux.loss_seg": 0.09854, "aux.acc_seg": 72.39622, "loss": 0.27574, "time": 0.53168} +{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 22404, "data_time": 0.00624, "decode.loss_seg": 0.16331, "decode.acc_seg": 75.37696, "aux.loss_seg": 0.09321, "aux.acc_seg": 73.44716, "loss": 0.25652, "time": 0.52019} +{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.16651, "decode.acc_seg": 74.43188, "aux.loss_seg": 0.09346, "aux.acc_seg": 72.66347, "loss": 0.25997, "time": 0.54451} +{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.17033, "decode.acc_seg": 74.68451, "aux.loss_seg": 0.09654, "aux.acc_seg": 72.83976, "loss": 0.26686, "time": 0.54271} +{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.1697, "decode.acc_seg": 75.89433, "aux.loss_seg": 0.09701, "aux.acc_seg": 73.98977, "loss": 0.26671, "time": 0.51803} +{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.16778, "decode.acc_seg": 74.72899, "aux.loss_seg": 0.09662, "aux.acc_seg": 72.80657, "loss": 0.2644, "time": 0.50662} +{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 22404, "data_time": 0.00624, "decode.loss_seg": 0.16841, "decode.acc_seg": 76.24698, "aux.loss_seg": 0.09638, "aux.acc_seg": 74.32314, "loss": 0.26479, "time": 0.52723} +{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.17964, "decode.acc_seg": 74.55637, "aux.loss_seg": 0.10048, "aux.acc_seg": 72.76045, "loss": 0.28011, "time": 0.51754} +{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.17437, "decode.acc_seg": 75.16769, "aux.loss_seg": 0.10029, "aux.acc_seg": 73.03937, "loss": 0.27466, "time": 0.5367} +{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.1783, "decode.acc_seg": 75.43455, "aux.loss_seg": 0.0985, "aux.acc_seg": 73.69081, "loss": 0.2768, "time": 0.51944} +{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.17679, "decode.acc_seg": 73.6922, "aux.loss_seg": 0.1002, "aux.acc_seg": 71.78924, "loss": 0.27699, "time": 0.51128} +{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.17705, "decode.acc_seg": 74.41749, "aux.loss_seg": 0.10075, "aux.acc_seg": 72.39131, "loss": 0.2778, "time": 0.51884} +{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.18014, "decode.acc_seg": 75.80301, "aux.loss_seg": 0.10026, "aux.acc_seg": 73.8438, "loss": 0.2804, "time": 0.54049} +{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.17485, "decode.acc_seg": 75.05302, "aux.loss_seg": 0.09916, "aux.acc_seg": 73.21868, "loss": 0.27401, "time": 0.53119} +{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.17497, "decode.acc_seg": 75.23531, "aux.loss_seg": 0.09928, "aux.acc_seg": 73.29892, "loss": 0.27425, "time": 0.51283} +{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17398, "decode.acc_seg": 74.41386, "aux.loss_seg": 0.09755, "aux.acc_seg": 72.59268, "loss": 0.27153, "time": 0.51363} +{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 22404, "data_time": 0.24325, "decode.loss_seg": 0.17698, "decode.acc_seg": 74.7302, "aux.loss_seg": 0.10337, "aux.acc_seg": 72.6676, "loss": 0.28035, "time": 0.75801} +{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 22404, "data_time": 0.00662, "decode.loss_seg": 0.17382, "decode.acc_seg": 75.78986, "aux.loss_seg": 0.09702, "aux.acc_seg": 74.01222, "loss": 0.27085, "time": 0.54847} +{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16891, "decode.acc_seg": 76.03518, "aux.loss_seg": 0.09553, "aux.acc_seg": 74.11774, "loss": 0.26444, "time": 0.51907} +{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.17988, "decode.acc_seg": 75.25148, "aux.loss_seg": 0.1019, "aux.acc_seg": 73.42277, "loss": 0.28178, "time": 0.51222} +{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.17675, "decode.acc_seg": 75.42659, "aux.loss_seg": 0.09867, "aux.acc_seg": 73.55761, "loss": 0.27542, "time": 0.50814} +{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.41699, "aux.loss_seg": 0.09883, "aux.acc_seg": 73.46449, "loss": 0.27372, "time": 0.51273} +{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.1675, "decode.acc_seg": 75.41375, "aux.loss_seg": 0.09587, "aux.acc_seg": 73.56104, "loss": 0.26337, "time": 0.50808} +{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.18535, "decode.acc_seg": 75.54431, "aux.loss_seg": 0.10506, "aux.acc_seg": 73.59616, "loss": 0.29042, "time": 0.51802} +{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.17001, "decode.acc_seg": 74.38343, "aux.loss_seg": 0.09671, "aux.acc_seg": 72.48027, "loss": 0.26673, "time": 0.52111} +{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.17512, "decode.acc_seg": 76.3578, "aux.loss_seg": 0.0991, "aux.acc_seg": 74.40901, "loss": 0.27423, "time": 0.50765} +{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.1739, "decode.acc_seg": 73.11273, "aux.loss_seg": 0.09904, "aux.acc_seg": 71.25623, "loss": 0.27294, "time": 0.51277} +{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 22404, "data_time": 0.00669, "decode.loss_seg": 0.17652, "decode.acc_seg": 74.75881, "aux.loss_seg": 0.09801, "aux.acc_seg": 73.05946, "loss": 0.27453, "time": 0.53108} +{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.16837, "decode.acc_seg": 73.59716, "aux.loss_seg": 0.09447, "aux.acc_seg": 71.8345, "loss": 0.26284, "time": 0.51036} +{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.17366, "decode.acc_seg": 75.37283, "aux.loss_seg": 0.09854, "aux.acc_seg": 73.45305, "loss": 0.2722, "time": 0.52193} +{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.16953, "decode.acc_seg": 75.26839, "aux.loss_seg": 0.09579, "aux.acc_seg": 73.51512, "loss": 0.26532, "time": 0.54336} +{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17049, "decode.acc_seg": 74.3424, "aux.loss_seg": 0.09576, "aux.acc_seg": 72.61843, "loss": 0.26625, "time": 0.53599} +{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.17379, "decode.acc_seg": 74.15754, "aux.loss_seg": 0.09761, "aux.acc_seg": 72.34193, "loss": 0.2714, "time": 0.51958} +{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.17671, "decode.acc_seg": 75.4242, "aux.loss_seg": 0.10266, "aux.acc_seg": 73.25829, "loss": 0.27937, "time": 0.54303} +{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17613, "decode.acc_seg": 73.32277, "aux.loss_seg": 0.09957, "aux.acc_seg": 71.39771, "loss": 0.2757, "time": 0.54028} +{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17463, "decode.acc_seg": 75.94595, "aux.loss_seg": 0.0991, "aux.acc_seg": 73.98366, "loss": 0.27373, "time": 0.53645} +{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16767, "decode.acc_seg": 76.78495, "aux.loss_seg": 0.09437, "aux.acc_seg": 74.98133, "loss": 0.26204, "time": 0.52925} +{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17893, "decode.acc_seg": 74.61782, "aux.loss_seg": 0.10181, "aux.acc_seg": 72.71006, "loss": 0.28073, "time": 0.52672} +{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.17067, "decode.acc_seg": 73.96637, "aux.loss_seg": 0.09632, "aux.acc_seg": 72.1319, "loss": 0.26699, "time": 0.51113} +{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.1655, "decode.acc_seg": 75.1961, "aux.loss_seg": 0.09518, "aux.acc_seg": 73.28138, "loss": 0.26067, "time": 0.52597} +{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.17734, "decode.acc_seg": 75.47841, "aux.loss_seg": 0.09974, "aux.acc_seg": 73.64932, "loss": 0.27708, "time": 0.54763} +{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.18146, "decode.acc_seg": 75.20596, "aux.loss_seg": 0.10176, "aux.acc_seg": 73.30103, "loss": 0.28322, "time": 0.51645} +{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 22404, "data_time": 0.24813, "decode.loss_seg": 0.16411, "decode.acc_seg": 74.50112, "aux.loss_seg": 0.09381, "aux.acc_seg": 72.57786, "loss": 0.25792, "time": 0.77751} +{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.16513, "decode.acc_seg": 74.78026, "aux.loss_seg": 0.09382, "aux.acc_seg": 72.94183, "loss": 0.25895, "time": 0.53174} +{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.17053, "decode.acc_seg": 75.87577, "aux.loss_seg": 0.09586, "aux.acc_seg": 74.13681, "loss": 0.26639, "time": 0.51208} +{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.17994, "decode.acc_seg": 75.17767, "aux.loss_seg": 0.10113, "aux.acc_seg": 73.19266, "loss": 0.28107, "time": 0.52023} +{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.16502, "decode.acc_seg": 76.08254, "aux.loss_seg": 0.09196, "aux.acc_seg": 74.36105, "loss": 0.25699, "time": 0.52618} +{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17196, "decode.acc_seg": 74.58284, "aux.loss_seg": 0.09756, "aux.acc_seg": 72.72068, "loss": 0.26952, "time": 0.5413} +{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.17713, "decode.acc_seg": 75.23724, "aux.loss_seg": 0.10025, "aux.acc_seg": 73.32084, "loss": 0.27739, "time": 0.52043} +{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.16658, "decode.acc_seg": 75.21308, "aux.loss_seg": 0.09416, "aux.acc_seg": 73.33458, "loss": 0.26074, "time": 0.53056} +{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.1793, "decode.acc_seg": 75.00271, "aux.loss_seg": 0.09992, "aux.acc_seg": 73.18314, "loss": 0.27922, "time": 0.51445} +{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.38142, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.66933, "loss": 0.26147, "time": 0.52252} +{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.17341, "decode.acc_seg": 75.70344, "aux.loss_seg": 0.0983, "aux.acc_seg": 73.84481, "loss": 0.27171, "time": 0.51305} +{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17266, "decode.acc_seg": 74.40688, "aux.loss_seg": 0.09736, "aux.acc_seg": 72.47564, "loss": 0.27002, "time": 0.52383} +{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.15782, "decode.acc_seg": 74.0934, "aux.loss_seg": 0.08998, "aux.acc_seg": 72.27863, "loss": 0.2478, "time": 0.54284} +{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.16295, "decode.acc_seg": 75.77985, "aux.loss_seg": 0.093, "aux.acc_seg": 73.92302, "loss": 0.25595, "time": 0.54312} +{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1678, "decode.acc_seg": 74.26173, "aux.loss_seg": 0.09622, "aux.acc_seg": 72.31454, "loss": 0.26402, "time": 0.52271} +{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16931, "decode.acc_seg": 74.09044, "aux.loss_seg": 0.09559, "aux.acc_seg": 72.30572, "loss": 0.2649, "time": 0.51808} +{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18131, "decode.acc_seg": 75.88691, "aux.loss_seg": 0.10334, "aux.acc_seg": 73.96272, "loss": 0.28465, "time": 0.5272} +{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.16758, "decode.acc_seg": 73.92727, "aux.loss_seg": 0.0957, "aux.acc_seg": 71.97013, "loss": 0.26328, "time": 0.53053} +{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.1637, "decode.acc_seg": 73.58838, "aux.loss_seg": 0.09548, "aux.acc_seg": 71.65899, "loss": 0.25918, "time": 0.51403} +{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17806, "decode.acc_seg": 75.41536, "aux.loss_seg": 0.10073, "aux.acc_seg": 73.46204, "loss": 0.27879, "time": 0.51561} +{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16748, "decode.acc_seg": 74.43009, "aux.loss_seg": 0.09715, "aux.acc_seg": 72.31632, "loss": 0.26462, "time": 0.51623} +{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.17406, "decode.acc_seg": 74.52969, "aux.loss_seg": 0.10084, "aux.acc_seg": 72.48249, "loss": 0.2749, "time": 0.51927} +{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16593, "decode.acc_seg": 75.6427, "aux.loss_seg": 0.09441, "aux.acc_seg": 73.7885, "loss": 0.26035, "time": 0.5177} +{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.1695, "decode.acc_seg": 74.84089, "aux.loss_seg": 0.09783, "aux.acc_seg": 72.85285, "loss": 0.26732, "time": 0.50972} +{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.172, "decode.acc_seg": 75.91162, "aux.loss_seg": 0.09659, "aux.acc_seg": 74.10816, "loss": 0.2686, "time": 0.53381} +{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 22404, "data_time": 0.24936, "decode.loss_seg": 0.17275, "decode.acc_seg": 74.36102, "aux.loss_seg": 0.09741, "aux.acc_seg": 72.54081, "loss": 0.27016, "time": 0.75039} +{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16763, "decode.acc_seg": 75.19389, "aux.loss_seg": 0.09667, "aux.acc_seg": 73.13182, "loss": 0.2643, "time": 0.53063} +{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.17545, "decode.acc_seg": 75.11117, "aux.loss_seg": 0.09731, "aux.acc_seg": 73.33731, "loss": 0.27276, "time": 0.5379} +{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.16031, "decode.acc_seg": 75.43215, "aux.loss_seg": 0.09126, "aux.acc_seg": 73.63047, "loss": 0.25157, "time": 0.54412} +{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.17545, "decode.acc_seg": 74.22502, "aux.loss_seg": 0.10099, "aux.acc_seg": 72.13662, "loss": 0.27643, "time": 0.52887} +{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.17899, "decode.acc_seg": 75.84101, "aux.loss_seg": 0.10023, "aux.acc_seg": 73.92807, "loss": 0.27923, "time": 0.51331} +{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.17582, "decode.acc_seg": 75.45127, "aux.loss_seg": 0.09933, "aux.acc_seg": 73.53629, "loss": 0.27514, "time": 0.51677} +{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17088, "decode.acc_seg": 74.90526, "aux.loss_seg": 0.09769, "aux.acc_seg": 73.01954, "loss": 0.26857, "time": 0.5182} +{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.17732, "decode.acc_seg": 76.06639, "aux.loss_seg": 0.09832, "aux.acc_seg": 74.25906, "loss": 0.27564, "time": 0.51558} +{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.17352, "decode.acc_seg": 74.56489, "aux.loss_seg": 0.09766, "aux.acc_seg": 72.76246, "loss": 0.27117, "time": 0.51535} +{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.16751, "decode.acc_seg": 76.85781, "aux.loss_seg": 0.09488, "aux.acc_seg": 75.0386, "loss": 0.26239, "time": 0.51246} +{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.1631, "decode.acc_seg": 75.1671, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.21503, "loss": 0.25746, "time": 0.51454} +{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.17253, "decode.acc_seg": 75.89043, "aux.loss_seg": 0.09751, "aux.acc_seg": 74.06574, "loss": 0.27004, "time": 0.51261} +{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.17187, "decode.acc_seg": 74.23544, "aux.loss_seg": 0.09704, "aux.acc_seg": 72.40721, "loss": 0.26891, "time": 0.53983} +{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.16195, "decode.acc_seg": 73.55742, "aux.loss_seg": 0.09149, "aux.acc_seg": 71.88075, "loss": 0.25344, "time": 0.54421} +{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.17324, "decode.acc_seg": 76.30559, "aux.loss_seg": 0.09888, "aux.acc_seg": 74.3304, "loss": 0.27212, "time": 0.51186} +{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.16674, "decode.acc_seg": 76.04306, "aux.loss_seg": 0.09349, "aux.acc_seg": 74.24333, "loss": 0.26023, "time": 0.51271} +{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.1643, "decode.acc_seg": 74.39595, "aux.loss_seg": 0.09514, "aux.acc_seg": 72.44848, "loss": 0.25943, "time": 0.51412} +{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16538, "decode.acc_seg": 74.19091, "aux.loss_seg": 0.09338, "aux.acc_seg": 72.39525, "loss": 0.25876, "time": 0.52368} +{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.17484, "decode.acc_seg": 74.8293, "aux.loss_seg": 0.0973, "aux.acc_seg": 73.00923, "loss": 0.27213, "time": 0.52053} +{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.17056, "decode.acc_seg": 76.34786, "aux.loss_seg": 0.09481, "aux.acc_seg": 74.58816, "loss": 0.26537, "time": 0.52479} +{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17121, "decode.acc_seg": 75.13032, "aux.loss_seg": 0.09686, "aux.acc_seg": 73.28877, "loss": 0.26806, "time": 0.53313} +{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16691, "decode.acc_seg": 74.64772, "aux.loss_seg": 0.09526, "aux.acc_seg": 72.80946, "loss": 0.26217, "time": 0.51266} +{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.17358, "decode.acc_seg": 75.2215, "aux.loss_seg": 0.09797, "aux.acc_seg": 73.33067, "loss": 0.27155, "time": 0.51648} +{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17441, "decode.acc_seg": 74.71394, "aux.loss_seg": 0.09993, "aux.acc_seg": 72.80233, "loss": 0.27434, "time": 0.5395} +{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 22404, "data_time": 0.24555, "decode.loss_seg": 0.16427, "decode.acc_seg": 76.47015, "aux.loss_seg": 0.09391, "aux.acc_seg": 74.65581, "loss": 0.25818, "time": 0.75683} +{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.1724, "decode.acc_seg": 74.66567, "aux.loss_seg": 0.09414, "aux.acc_seg": 72.99593, "loss": 0.26654, "time": 0.50696} +{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.16892, "decode.acc_seg": 75.46903, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.52854, "loss": 0.26512, "time": 0.53167} +{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.1773, "decode.acc_seg": 76.61055, "aux.loss_seg": 0.10066, "aux.acc_seg": 74.66198, "loss": 0.27795, "time": 0.52025} +{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.17465, "decode.acc_seg": 73.43425, "aux.loss_seg": 0.10223, "aux.acc_seg": 71.25188, "loss": 0.27687, "time": 0.52056} +{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16274, "decode.acc_seg": 75.30694, "aux.loss_seg": 0.09336, "aux.acc_seg": 73.4899, "loss": 0.2561, "time": 0.5234} +{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.16717, "decode.acc_seg": 73.91972, "aux.loss_seg": 0.09491, "aux.acc_seg": 71.95725, "loss": 0.26208, "time": 0.53078} +{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.16279, "decode.acc_seg": 74.32669, "aux.loss_seg": 0.09436, "aux.acc_seg": 72.49949, "loss": 0.25714, "time": 0.50947} +{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.16961, "decode.acc_seg": 74.33412, "aux.loss_seg": 0.09596, "aux.acc_seg": 72.50495, "loss": 0.26557, "time": 0.52311} +{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.16369, "decode.acc_seg": 75.83026, "aux.loss_seg": 0.09113, "aux.acc_seg": 74.08081, "loss": 0.25483, "time": 0.52465} +{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.16681, "decode.acc_seg": 75.34809, "aux.loss_seg": 0.09466, "aux.acc_seg": 73.441, "loss": 0.26147, "time": 0.54819} +{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.16837, "decode.acc_seg": 75.16441, "aux.loss_seg": 0.0957, "aux.acc_seg": 73.23242, "loss": 0.26407, "time": 0.51037} +{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16819, "decode.acc_seg": 75.54508, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.80304, "loss": 0.26202, "time": 0.53484} +{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17677, "decode.acc_seg": 75.52341, "aux.loss_seg": 0.10094, "aux.acc_seg": 73.5721, "loss": 0.27771, "time": 0.52313} +{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.17078, "decode.acc_seg": 76.46422, "aux.loss_seg": 0.09901, "aux.acc_seg": 74.42159, "loss": 0.26979, "time": 0.53896} +{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.17638, "decode.acc_seg": 74.87029, "aux.loss_seg": 0.09956, "aux.acc_seg": 73.03954, "loss": 0.27594, "time": 0.54444} +{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16934, "decode.acc_seg": 74.89225, "aux.loss_seg": 0.09689, "aux.acc_seg": 73.07984, "loss": 0.26623, "time": 0.50915} +{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.1689, "decode.acc_seg": 75.78268, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.85312, "loss": 0.26511, "time": 0.51049} +{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.16776, "decode.acc_seg": 75.62781, "aux.loss_seg": 0.09524, "aux.acc_seg": 73.78242, "loss": 0.26299, "time": 0.52783} +{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.16786, "decode.acc_seg": 74.72158, "aux.loss_seg": 0.09766, "aux.acc_seg": 72.73946, "loss": 0.26553, "time": 0.52678} +{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.17419, "decode.acc_seg": 75.50282, "aux.loss_seg": 0.0967, "aux.acc_seg": 73.73806, "loss": 0.27089, "time": 0.51345} +{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.17992, "decode.acc_seg": 74.56546, "aux.loss_seg": 0.09958, "aux.acc_seg": 72.72881, "loss": 0.2795, "time": 0.53525} +{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16694, "decode.acc_seg": 75.8768, "aux.loss_seg": 0.09561, "aux.acc_seg": 74.05384, "loss": 0.26255, "time": 0.50899} +{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.1736, "decode.acc_seg": 73.67417, "aux.loss_seg": 0.09709, "aux.acc_seg": 71.86871, "loss": 0.27069, "time": 0.52525} +{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.16937, "decode.acc_seg": 73.33657, "aux.loss_seg": 0.09506, "aux.acc_seg": 71.60004, "loss": 0.26443, "time": 0.51071} +{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 22404, "data_time": 0.24331, "decode.loss_seg": 0.17765, "decode.acc_seg": 74.29468, "aux.loss_seg": 0.10091, "aux.acc_seg": 72.21726, "loss": 0.27855, "time": 0.75694} +{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16066, "decode.acc_seg": 75.18984, "aux.loss_seg": 0.09217, "aux.acc_seg": 73.39077, "loss": 0.25283, "time": 0.51983} +{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.15494, "decode.acc_seg": 74.85703, "aux.loss_seg": 0.08954, "aux.acc_seg": 73.09258, "loss": 0.24448, "time": 0.51607} +{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16603, "decode.acc_seg": 75.34152, "aux.loss_seg": 0.0967, "aux.acc_seg": 73.26593, "loss": 0.26273, "time": 0.52665} +{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16906, "decode.acc_seg": 75.25923, "aux.loss_seg": 0.09603, "aux.acc_seg": 73.39693, "loss": 0.2651, "time": 0.51777} +{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.16369, "decode.acc_seg": 75.26792, "aux.loss_seg": 0.09544, "aux.acc_seg": 73.3129, "loss": 0.25913, "time": 0.52736} +{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17329, "decode.acc_seg": 74.97439, "aux.loss_seg": 0.09719, "aux.acc_seg": 73.09312, "loss": 0.27049, "time": 0.50794} +{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.16812, "decode.acc_seg": 75.18349, "aux.loss_seg": 0.09389, "aux.acc_seg": 73.37566, "loss": 0.262, "time": 0.51854} +{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16969, "decode.acc_seg": 75.56011, "aux.loss_seg": 0.09585, "aux.acc_seg": 73.73718, "loss": 0.26554, "time": 0.51072} +{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.17308, "decode.acc_seg": 75.11555, "aux.loss_seg": 0.10002, "aux.acc_seg": 73.12078, "loss": 0.2731, "time": 0.53273} +{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.16983, "decode.acc_seg": 75.20809, "aux.loss_seg": 0.10017, "aux.acc_seg": 73.04986, "loss": 0.26999, "time": 0.54524} +{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.16834, "decode.acc_seg": 74.65815, "aux.loss_seg": 0.09638, "aux.acc_seg": 72.7264, "loss": 0.26471, "time": 0.51466} +{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.1651, "decode.acc_seg": 74.67937, "aux.loss_seg": 0.09383, "aux.acc_seg": 72.83353, "loss": 0.25894, "time": 0.52243} +{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.16074, "decode.acc_seg": 74.93875, "aux.loss_seg": 0.09293, "aux.acc_seg": 73.04335, "loss": 0.25368, "time": 0.52348} +{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16227, "decode.acc_seg": 74.73642, "aux.loss_seg": 0.09303, "aux.acc_seg": 72.89517, "loss": 0.2553, "time": 0.50623} +{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.17153, "decode.acc_seg": 75.33938, "aux.loss_seg": 0.09748, "aux.acc_seg": 73.51587, "loss": 0.26901, "time": 0.5309} +{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.16768, "decode.acc_seg": 74.34149, "aux.loss_seg": 0.09464, "aux.acc_seg": 72.59904, "loss": 0.26232, "time": 0.54323} +{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.17078, "decode.acc_seg": 76.26961, "aux.loss_seg": 0.0958, "aux.acc_seg": 74.55048, "loss": 0.26658, "time": 0.51864} +{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.17052, "decode.acc_seg": 76.05504, "aux.loss_seg": 0.10012, "aux.acc_seg": 73.87911, "loss": 0.27064, "time": 0.52212} +{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.18192, "decode.acc_seg": 76.06175, "aux.loss_seg": 0.10145, "aux.acc_seg": 74.16125, "loss": 0.28337, "time": 0.53843} +{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.16623, "decode.acc_seg": 75.15238, "aux.loss_seg": 0.09603, "aux.acc_seg": 73.26663, "loss": 0.26226, "time": 0.52409} +{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16996, "decode.acc_seg": 75.7018, "aux.loss_seg": 0.09666, "aux.acc_seg": 73.89311, "loss": 0.26661, "time": 0.5231} +{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.17784, "decode.acc_seg": 74.59804, "aux.loss_seg": 0.10153, "aux.acc_seg": 72.62207, "loss": 0.27937, "time": 0.52287} +{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.16538, "decode.acc_seg": 75.29797, "aux.loss_seg": 0.09412, "aux.acc_seg": 73.47339, "loss": 0.2595, "time": 0.51269} +{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.16547, "decode.acc_seg": 74.00861, "aux.loss_seg": 0.09505, "aux.acc_seg": 72.09418, "loss": 0.26052, "time": 0.5169} +{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 22404, "data_time": 0.00819, "decode.loss_seg": 0.17039, "decode.acc_seg": 73.34567, "aux.loss_seg": 0.09773, "aux.acc_seg": 71.35, "loss": 0.26812, "time": 0.52328} +{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 22404, "data_time": 0.2526, "decode.loss_seg": 0.16793, "decode.acc_seg": 75.30476, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.55753, "loss": 0.26229, "time": 0.76065} +{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16248, "decode.acc_seg": 74.26326, "aux.loss_seg": 0.09221, "aux.acc_seg": 72.47179, "loss": 0.25469, "time": 0.54195} +{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.17213, "decode.acc_seg": 74.63157, "aux.loss_seg": 0.09764, "aux.acc_seg": 72.80177, "loss": 0.26976, "time": 0.52074} +{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16254, "decode.acc_seg": 74.93793, "aux.loss_seg": 0.09192, "aux.acc_seg": 73.20866, "loss": 0.25446, "time": 0.51327} +{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.1689, "decode.acc_seg": 74.67008, "aux.loss_seg": 0.09443, "aux.acc_seg": 72.8744, "loss": 0.26332, "time": 0.52039} +{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16975, "decode.acc_seg": 75.41635, "aux.loss_seg": 0.09613, "aux.acc_seg": 73.63951, "loss": 0.26588, "time": 0.51064} +{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16759, "decode.acc_seg": 75.51514, "aux.loss_seg": 0.09448, "aux.acc_seg": 73.69058, "loss": 0.26207, "time": 0.53574} +{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16703, "decode.acc_seg": 74.57817, "aux.loss_seg": 0.09542, "aux.acc_seg": 72.66142, "loss": 0.26245, "time": 0.52323} +{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.17044, "decode.acc_seg": 74.51357, "aux.loss_seg": 0.09829, "aux.acc_seg": 72.47738, "loss": 0.26872, "time": 0.5295} +{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.17283, "decode.acc_seg": 76.17946, "aux.loss_seg": 0.09973, "aux.acc_seg": 74.24275, "loss": 0.27256, "time": 0.53668} +{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.17121, "decode.acc_seg": 74.89009, "aux.loss_seg": 0.09807, "aux.acc_seg": 72.8718, "loss": 0.26928, "time": 0.51411} +{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.8946, "aux.loss_seg": 0.09741, "aux.acc_seg": 74.17622, "loss": 0.27231, "time": 0.52483} +{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18181, "decode.acc_seg": 75.41116, "aux.loss_seg": 0.10294, "aux.acc_seg": 73.55828, "loss": 0.28475, "time": 0.51629} +{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.16669, "decode.acc_seg": 74.78279, "aux.loss_seg": 0.09546, "aux.acc_seg": 72.85451, "loss": 0.26215, "time": 0.52139} +{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.17584, "decode.acc_seg": 74.66363, "aux.loss_seg": 0.09969, "aux.acc_seg": 72.74795, "loss": 0.27553, "time": 0.51676} +{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18123, "decode.acc_seg": 76.29584, "aux.loss_seg": 0.10121, "aux.acc_seg": 74.31312, "loss": 0.28244, "time": 0.5176} +{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16689, "decode.acc_seg": 76.16773, "aux.loss_seg": 0.09452, "aux.acc_seg": 74.41322, "loss": 0.26141, "time": 0.50942} +{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16092, "decode.acc_seg": 75.35775, "aux.loss_seg": 0.0922, "aux.acc_seg": 73.57335, "loss": 0.25312, "time": 0.51347} +{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.16538, "decode.acc_seg": 76.47418, "aux.loss_seg": 0.09292, "aux.acc_seg": 74.75031, "loss": 0.2583, "time": 0.52262} +{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16781, "decode.acc_seg": 74.23183, "aux.loss_seg": 0.09638, "aux.acc_seg": 72.3064, "loss": 0.26419, "time": 0.52351} +{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.17014, "decode.acc_seg": 75.16027, "aux.loss_seg": 0.09528, "aux.acc_seg": 73.42228, "loss": 0.26542, "time": 0.51691} +{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.15627, "decode.acc_seg": 74.95083, "aux.loss_seg": 0.09001, "aux.acc_seg": 73.12062, "loss": 0.24628, "time": 0.51571} +{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.74077, "aux.loss_seg": 0.09979, "aux.acc_seg": 73.65615, "loss": 0.27469, "time": 0.51627} +{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.1628, "decode.acc_seg": 75.03674, "aux.loss_seg": 0.09144, "aux.acc_seg": 73.31586, "loss": 0.25424, "time": 0.51943} +{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 22404, "data_time": 0.0082, "decode.loss_seg": 0.1623, "decode.acc_seg": 73.82684, "aux.loss_seg": 0.09116, "aux.acc_seg": 72.1199, "loss": 0.25346, "time": 0.5213} +{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 22404, "data_time": 0.24827, "decode.loss_seg": 0.16427, "decode.acc_seg": 74.69868, "aux.loss_seg": 0.09173, "aux.acc_seg": 72.97569, "loss": 0.256, "time": 0.76343} +{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.1725, "decode.acc_seg": 75.47576, "aux.loss_seg": 0.09543, "aux.acc_seg": 73.77285, "loss": 0.26793, "time": 0.53419} +{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17332, "decode.acc_seg": 74.44762, "aux.loss_seg": 0.09937, "aux.acc_seg": 72.45366, "loss": 0.27269, "time": 0.52251} +{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.17179, "decode.acc_seg": 74.60693, "aux.loss_seg": 0.09661, "aux.acc_seg": 72.78276, "loss": 0.2684, "time": 0.50807} +{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.16352, "decode.acc_seg": 74.44185, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.60715, "loss": 0.2571, "time": 0.51491} +{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.17263, "decode.acc_seg": 74.93992, "aux.loss_seg": 0.09805, "aux.acc_seg": 73.05535, "loss": 0.27068, "time": 0.5366} +{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.16272, "decode.acc_seg": 73.26868, "aux.loss_seg": 0.09389, "aux.acc_seg": 71.36465, "loss": 0.2566, "time": 0.52509} +{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.15919, "decode.acc_seg": 75.69234, "aux.loss_seg": 0.09141, "aux.acc_seg": 73.85044, "loss": 0.2506, "time": 0.5416} +{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17195, "decode.acc_seg": 76.01051, "aux.loss_seg": 0.09768, "aux.acc_seg": 74.08484, "loss": 0.26963, "time": 0.51924} +{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.16121, "decode.acc_seg": 75.25086, "aux.loss_seg": 0.09183, "aux.acc_seg": 73.45468, "loss": 0.25304, "time": 0.51681} +{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.16341, "decode.acc_seg": 76.25321, "aux.loss_seg": 0.09483, "aux.acc_seg": 74.3193, "loss": 0.25823, "time": 0.53063} +{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15836, "decode.acc_seg": 76.18966, "aux.loss_seg": 0.09093, "aux.acc_seg": 74.32163, "loss": 0.24929, "time": 0.52126} +{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.15765, "decode.acc_seg": 75.09727, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.26736, "loss": 0.24805, "time": 0.51088} +{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17494, "decode.acc_seg": 76.9338, "aux.loss_seg": 0.09787, "aux.acc_seg": 75.09084, "loss": 0.27281, "time": 0.52421} +{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.15557, "decode.acc_seg": 74.52967, "aux.loss_seg": 0.08792, "aux.acc_seg": 72.76561, "loss": 0.24348, "time": 0.50688} +{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.77325, "aux.loss_seg": 0.10049, "aux.acc_seg": 73.95776, "loss": 0.27858, "time": 0.52379} +{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15949, "decode.acc_seg": 76.52713, "aux.loss_seg": 0.09099, "aux.acc_seg": 74.77144, "loss": 0.25049, "time": 0.51621} +{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17245, "decode.acc_seg": 76.64137, "aux.loss_seg": 0.09732, "aux.acc_seg": 74.76356, "loss": 0.26977, "time": 0.51563} +{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.17241, "decode.acc_seg": 75.45392, "aux.loss_seg": 0.09758, "aux.acc_seg": 73.61456, "loss": 0.26999, "time": 0.54656} +{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.17624, "decode.acc_seg": 74.56933, "aux.loss_seg": 0.10104, "aux.acc_seg": 72.52416, "loss": 0.27728, "time": 0.51693} +{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.17787, "decode.acc_seg": 74.4273, "aux.loss_seg": 0.10257, "aux.acc_seg": 72.35452, "loss": 0.28044, "time": 0.51731} +{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.16184, "decode.acc_seg": 73.86276, "aux.loss_seg": 0.09241, "aux.acc_seg": 72.09027, "loss": 0.25425, "time": 0.54051} +{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17057, "decode.acc_seg": 73.72935, "aux.loss_seg": 0.09809, "aux.acc_seg": 71.8586, "loss": 0.26866, "time": 0.53812} +{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.16732, "decode.acc_seg": 75.23253, "aux.loss_seg": 0.09417, "aux.acc_seg": 73.4445, "loss": 0.26148, "time": 0.52619} +{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16649, "decode.acc_seg": 75.64286, "aux.loss_seg": 0.09254, "aux.acc_seg": 73.83368, "loss": 0.25903, "time": 0.51083} +{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 22404, "data_time": 0.24687, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.83384, "aux.loss_seg": 0.09528, "aux.acc_seg": 74.02819, "loss": 0.26366, "time": 0.74534} +{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.16684, "decode.acc_seg": 76.15095, "aux.loss_seg": 0.09472, "aux.acc_seg": 74.27184, "loss": 0.26156, "time": 0.51518} +{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.17144, "decode.acc_seg": 74.90673, "aux.loss_seg": 0.09582, "aux.acc_seg": 73.25217, "loss": 0.26726, "time": 0.51805} +{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16863, "decode.acc_seg": 74.82644, "aux.loss_seg": 0.09518, "aux.acc_seg": 72.97544, "loss": 0.26381, "time": 0.5165} +{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.16487, "decode.acc_seg": 75.81289, "aux.loss_seg": 0.09422, "aux.acc_seg": 73.85756, "loss": 0.2591, "time": 0.53931} +{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.1721, "decode.acc_seg": 76.56332, "aux.loss_seg": 0.09922, "aux.acc_seg": 74.46878, "loss": 0.27132, "time": 0.52477} +{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.15978, "decode.acc_seg": 75.42533, "aux.loss_seg": 0.09121, "aux.acc_seg": 73.70715, "loss": 0.25099, "time": 0.52521} +{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.17106, "decode.acc_seg": 76.27518, "aux.loss_seg": 0.09655, "aux.acc_seg": 74.51951, "loss": 0.26761, "time": 0.54569} +{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.16051, "decode.acc_seg": 74.6707, "aux.loss_seg": 0.09273, "aux.acc_seg": 72.79582, "loss": 0.25324, "time": 0.53241} +{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.15943, "decode.acc_seg": 75.66779, "aux.loss_seg": 0.09172, "aux.acc_seg": 73.90678, "loss": 0.25115, "time": 0.53538} +{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.16227, "decode.acc_seg": 74.42935, "aux.loss_seg": 0.0936, "aux.acc_seg": 72.53074, "loss": 0.25587, "time": 0.51991} +{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.93289, "aux.loss_seg": 0.09481, "aux.acc_seg": 73.08547, "loss": 0.26215, "time": 0.52197} +{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.1553, "decode.acc_seg": 73.57416, "aux.loss_seg": 0.08842, "aux.acc_seg": 71.83056, "loss": 0.24372, "time": 0.51542} +{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.1671, "decode.acc_seg": 74.82964, "aux.loss_seg": 0.09532, "aux.acc_seg": 73.02359, "loss": 0.26242, "time": 0.53207} +{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.1623, "decode.acc_seg": 74.98335, "aux.loss_seg": 0.09228, "aux.acc_seg": 73.13599, "loss": 0.25457, "time": 0.52412} +{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.16754, "decode.acc_seg": 74.34113, "aux.loss_seg": 0.09338, "aux.acc_seg": 72.66172, "loss": 0.26092, "time": 0.53487} +{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.17557, "decode.acc_seg": 76.35671, "aux.loss_seg": 0.09836, "aux.acc_seg": 74.56677, "loss": 0.27393, "time": 0.51486} +{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16683, "decode.acc_seg": 74.71383, "aux.loss_seg": 0.09515, "aux.acc_seg": 72.79787, "loss": 0.26198, "time": 0.51006} +{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.16271, "decode.acc_seg": 75.85889, "aux.loss_seg": 0.09159, "aux.acc_seg": 74.07331, "loss": 0.2543, "time": 0.53818} +{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.16333, "decode.acc_seg": 74.89941, "aux.loss_seg": 0.09273, "aux.acc_seg": 73.03342, "loss": 0.25606, "time": 0.53787} +{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.16778, "decode.acc_seg": 75.58772, "aux.loss_seg": 0.0946, "aux.acc_seg": 73.77214, "loss": 0.26238, "time": 0.51824} +{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.1662, "decode.acc_seg": 76.1347, "aux.loss_seg": 0.09634, "aux.acc_seg": 74.19628, "loss": 0.26254, "time": 0.53532} +{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.16866, "decode.acc_seg": 74.38887, "aux.loss_seg": 0.09538, "aux.acc_seg": 72.59609, "loss": 0.26404, "time": 0.53911} +{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.1655, "decode.acc_seg": 75.5531, "aux.loss_seg": 0.096, "aux.acc_seg": 73.4886, "loss": 0.2615, "time": 0.51251} +{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16973, "decode.acc_seg": 75.55028, "aux.loss_seg": 0.09598, "aux.acc_seg": 73.73125, "loss": 0.26571, "time": 0.5171} +{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 22404, "data_time": 0.24905, "decode.loss_seg": 0.17107, "decode.acc_seg": 73.89384, "aux.loss_seg": 0.09897, "aux.acc_seg": 71.84668, "loss": 0.27004, "time": 0.76929} +{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.15836, "decode.acc_seg": 75.57476, "aux.loss_seg": 0.09065, "aux.acc_seg": 73.75131, "loss": 0.249, "time": 0.51789} +{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.1662, "decode.acc_seg": 76.0516, "aux.loss_seg": 0.09523, "aux.acc_seg": 74.2436, "loss": 0.26143, "time": 0.5189} +{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.17497, "decode.acc_seg": 75.1173, "aux.loss_seg": 0.09951, "aux.acc_seg": 73.14328, "loss": 0.27448, "time": 0.51045} +{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16921, "decode.acc_seg": 77.1746, "aux.loss_seg": 0.09796, "aux.acc_seg": 75.09952, "loss": 0.26718, "time": 0.52267} +{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.15933, "decode.acc_seg": 75.458, "aux.loss_seg": 0.09075, "aux.acc_seg": 73.59158, "loss": 0.25008, "time": 0.52884} +{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.16599, "decode.acc_seg": 75.29778, "aux.loss_seg": 0.09335, "aux.acc_seg": 73.54191, "loss": 0.25934, "time": 0.54035} +{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.16038, "decode.acc_seg": 74.8412, "aux.loss_seg": 0.09353, "aux.acc_seg": 72.84476, "loss": 0.25392, "time": 0.54563} +{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.15983, "decode.acc_seg": 75.25261, "aux.loss_seg": 0.09244, "aux.acc_seg": 73.34092, "loss": 0.25227, "time": 0.54562} +{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.17467, "decode.acc_seg": 74.72185, "aux.loss_seg": 0.0998, "aux.acc_seg": 72.71314, "loss": 0.27447, "time": 0.53504} +{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.16123, "decode.acc_seg": 75.44131, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.64889, "loss": 0.25272, "time": 0.52845} +{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.16406, "decode.acc_seg": 75.22488, "aux.loss_seg": 0.09449, "aux.acc_seg": 73.30595, "loss": 0.25854, "time": 0.52468} +{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.1608, "decode.acc_seg": 74.3953, "aux.loss_seg": 0.09146, "aux.acc_seg": 72.6038, "loss": 0.25226, "time": 0.53406} +{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16167, "decode.acc_seg": 74.78511, "aux.loss_seg": 0.09258, "aux.acc_seg": 72.89951, "loss": 0.25425, "time": 0.51575} +{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16198, "decode.acc_seg": 75.30216, "aux.loss_seg": 0.0912, "aux.acc_seg": 73.61724, "loss": 0.25318, "time": 0.51354} +{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.15867, "decode.acc_seg": 75.42927, "aux.loss_seg": 0.09111, "aux.acc_seg": 73.46273, "loss": 0.24978, "time": 0.5106} +{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.16225, "decode.acc_seg": 75.38802, "aux.loss_seg": 0.09267, "aux.acc_seg": 73.58236, "loss": 0.25492, "time": 0.54627} +{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.16764, "decode.acc_seg": 76.62149, "aux.loss_seg": 0.09631, "aux.acc_seg": 74.65567, "loss": 0.26395, "time": 0.53075} +{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.16763, "decode.acc_seg": 75.81247, "aux.loss_seg": 0.0958, "aux.acc_seg": 74.01254, "loss": 0.26343, "time": 0.5156} +{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.16933, "decode.acc_seg": 74.5325, "aux.loss_seg": 0.09548, "aux.acc_seg": 72.7125, "loss": 0.26481, "time": 0.52538} +{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.15868, "decode.acc_seg": 73.4444, "aux.loss_seg": 0.0912, "aux.acc_seg": 71.56703, "loss": 0.24987, "time": 0.50888} +{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16918, "decode.acc_seg": 75.48856, "aux.loss_seg": 0.09629, "aux.acc_seg": 73.64939, "loss": 0.26547, "time": 0.51656} +{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.17061, "decode.acc_seg": 74.7412, "aux.loss_seg": 0.09777, "aux.acc_seg": 72.7769, "loss": 0.26837, "time": 0.53386} +{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.17129, "decode.acc_seg": 75.90925, "aux.loss_seg": 0.09664, "aux.acc_seg": 74.20351, "loss": 0.26792, "time": 0.51635} +{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16661, "decode.acc_seg": 76.28379, "aux.loss_seg": 0.09564, "aux.acc_seg": 74.44353, "loss": 0.26225, "time": 0.54176} +{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.16172, "decode.acc_seg": 76.01607, "aux.loss_seg": 0.09179, "aux.acc_seg": 74.29443, "loss": 0.25351, "time": 0.55143} +{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 22404, "data_time": 0.24563, "decode.loss_seg": 0.16429, "decode.acc_seg": 75.39572, "aux.loss_seg": 0.09509, "aux.acc_seg": 73.55353, "loss": 0.25939, "time": 0.77725} +{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.16951, "decode.acc_seg": 75.24746, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.41896, "loss": 0.26582, "time": 0.51238} +{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.16393, "decode.acc_seg": 75.012, "aux.loss_seg": 0.09297, "aux.acc_seg": 73.18586, "loss": 0.2569, "time": 0.52232} +{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 22404, "data_time": 0.00823, "decode.loss_seg": 0.16653, "decode.acc_seg": 75.53657, "aux.loss_seg": 0.09594, "aux.acc_seg": 73.63079, "loss": 0.26247, "time": 0.50799} +{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16855, "decode.acc_seg": 74.47611, "aux.loss_seg": 0.09547, "aux.acc_seg": 72.71417, "loss": 0.26402, "time": 0.52283} +{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16767, "decode.acc_seg": 75.58116, "aux.loss_seg": 0.09491, "aux.acc_seg": 73.69334, "loss": 0.26258, "time": 0.51736} +{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16493, "decode.acc_seg": 75.34483, "aux.loss_seg": 0.09655, "aux.acc_seg": 73.23736, "loss": 0.26149, "time": 0.52624} +{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16304, "decode.acc_seg": 74.84017, "aux.loss_seg": 0.09099, "aux.acc_seg": 73.21353, "loss": 0.25403, "time": 0.53145} +{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.17376, "decode.acc_seg": 76.26682, "aux.loss_seg": 0.0995, "aux.acc_seg": 74.28432, "loss": 0.27325, "time": 0.51429} +{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.16181, "decode.acc_seg": 74.34315, "aux.loss_seg": 0.09474, "aux.acc_seg": 72.31651, "loss": 0.25655, "time": 0.51924} +{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.16148, "decode.acc_seg": 74.83232, "aux.loss_seg": 0.09484, "aux.acc_seg": 72.86762, "loss": 0.25632, "time": 0.51837} +{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.1622, "decode.acc_seg": 76.40342, "aux.loss_seg": 0.09303, "aux.acc_seg": 74.5806, "loss": 0.25523, "time": 0.52629} +{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16469, "decode.acc_seg": 74.145, "aux.loss_seg": 0.094, "aux.acc_seg": 72.298, "loss": 0.25869, "time": 0.52605} +{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16026, "decode.acc_seg": 75.02292, "aux.loss_seg": 0.09194, "aux.acc_seg": 73.20462, "loss": 0.2522, "time": 0.50919} +{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.1595, "decode.acc_seg": 76.22357, "aux.loss_seg": 0.09083, "aux.acc_seg": 74.47675, "loss": 0.25033, "time": 0.51132} +{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16828, "decode.acc_seg": 76.05231, "aux.loss_seg": 0.09475, "aux.acc_seg": 74.22191, "loss": 0.26303, "time": 0.52474} +{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16099, "decode.acc_seg": 75.52209, "aux.loss_seg": 0.09122, "aux.acc_seg": 73.72167, "loss": 0.25221, "time": 0.51286} +{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16277, "decode.acc_seg": 75.99621, "aux.loss_seg": 0.09392, "aux.acc_seg": 73.99999, "loss": 0.2567, "time": 0.5144} +{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.1696, "decode.acc_seg": 74.95182, "aux.loss_seg": 0.09523, "aux.acc_seg": 73.05948, "loss": 0.26483, "time": 0.5092} +{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.1612, "decode.acc_seg": 75.06863, "aux.loss_seg": 0.09099, "aux.acc_seg": 73.34257, "loss": 0.25219, "time": 0.51232} +{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16142, "decode.acc_seg": 75.38399, "aux.loss_seg": 0.09091, "aux.acc_seg": 73.71018, "loss": 0.25233, "time": 0.55014} +{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.16409, "decode.acc_seg": 74.16192, "aux.loss_seg": 0.09378, "aux.acc_seg": 72.36215, "loss": 0.25787, "time": 0.54102} +{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.16091, "decode.acc_seg": 74.78869, "aux.loss_seg": 0.0931, "aux.acc_seg": 72.88053, "loss": 0.25401, "time": 0.5113} +{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16272, "decode.acc_seg": 75.23964, "aux.loss_seg": 0.09281, "aux.acc_seg": 73.49796, "loss": 0.25553, "time": 0.54122} +{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.17074, "decode.acc_seg": 75.92012, "aux.loss_seg": 0.09791, "aux.acc_seg": 73.98727, "loss": 0.26866, "time": 0.5336} +{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 22404, "data_time": 0.24718, "decode.loss_seg": 0.16009, "decode.acc_seg": 74.74543, "aux.loss_seg": 0.09233, "aux.acc_seg": 72.89843, "loss": 0.25242, "time": 0.75939} +{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16365, "decode.acc_seg": 74.3153, "aux.loss_seg": 0.09347, "aux.acc_seg": 72.51807, "loss": 0.25712, "time": 0.51123} +{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.16498, "decode.acc_seg": 75.45711, "aux.loss_seg": 0.09522, "aux.acc_seg": 73.42751, "loss": 0.26019, "time": 0.51298} +{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.17063, "decode.acc_seg": 75.12189, "aux.loss_seg": 0.09643, "aux.acc_seg": 73.23165, "loss": 0.26706, "time": 0.51303} +{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.16558, "decode.acc_seg": 76.06028, "aux.loss_seg": 0.09547, "aux.acc_seg": 74.12605, "loss": 0.26105, "time": 0.51446} +{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.16798, "decode.acc_seg": 75.16472, "aux.loss_seg": 0.09578, "aux.acc_seg": 73.39659, "loss": 0.26376, "time": 0.51557} +{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16222, "decode.acc_seg": 75.4088, "aux.loss_seg": 0.09232, "aux.acc_seg": 73.57887, "loss": 0.25455, "time": 0.51628} +{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.16695, "decode.acc_seg": 76.93871, "aux.loss_seg": 0.09464, "aux.acc_seg": 75.1093, "loss": 0.26159, "time": 0.51764} +{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.16544, "decode.acc_seg": 75.69988, "aux.loss_seg": 0.09664, "aux.acc_seg": 73.67785, "loss": 0.26208, "time": 0.51947} +{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.16627, "decode.acc_seg": 75.96386, "aux.loss_seg": 0.09362, "aux.acc_seg": 74.2544, "loss": 0.25989, "time": 0.53649} +{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16025, "decode.acc_seg": 76.53942, "aux.loss_seg": 0.09008, "aux.acc_seg": 74.79927, "loss": 0.25033, "time": 0.51003} +{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16287, "decode.acc_seg": 75.69749, "aux.loss_seg": 0.09438, "aux.acc_seg": 73.69427, "loss": 0.25725, "time": 0.51931} +{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.16645, "decode.acc_seg": 74.02234, "aux.loss_seg": 0.09506, "aux.acc_seg": 72.31987, "loss": 0.26151, "time": 0.53572} +{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.15294, "decode.acc_seg": 74.27663, "aux.loss_seg": 0.08865, "aux.acc_seg": 72.48927, "loss": 0.24158, "time": 0.5102} +{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.16544, "decode.acc_seg": 75.65828, "aux.loss_seg": 0.09589, "aux.acc_seg": 73.69361, "loss": 0.26133, "time": 0.53668} +{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.1725, "decode.acc_seg": 75.24833, "aux.loss_seg": 0.09737, "aux.acc_seg": 73.3532, "loss": 0.26987, "time": 0.51837} +{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.16749, "decode.acc_seg": 76.27746, "aux.loss_seg": 0.09515, "aux.acc_seg": 74.45015, "loss": 0.26264, "time": 0.54059} +{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.16965, "decode.acc_seg": 74.45081, "aux.loss_seg": 0.09689, "aux.acc_seg": 72.55215, "loss": 0.26654, "time": 0.5458} +{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.16221, "decode.acc_seg": 75.70175, "aux.loss_seg": 0.09339, "aux.acc_seg": 73.7366, "loss": 0.2556, "time": 0.52282} +{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16356, "decode.acc_seg": 75.44758, "aux.loss_seg": 0.09233, "aux.acc_seg": 73.69906, "loss": 0.25589, "time": 0.52116} +{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16117, "decode.acc_seg": 75.17262, "aux.loss_seg": 0.09301, "aux.acc_seg": 73.21951, "loss": 0.25418, "time": 0.53682} +{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.15982, "decode.acc_seg": 75.17994, "aux.loss_seg": 0.09008, "aux.acc_seg": 73.43711, "loss": 0.24989, "time": 0.51501} +{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.16176, "decode.acc_seg": 76.802, "aux.loss_seg": 0.09319, "aux.acc_seg": 74.97278, "loss": 0.25495, "time": 0.51364} +{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16276, "decode.acc_seg": 76.30528, "aux.loss_seg": 0.09439, "aux.acc_seg": 74.35261, "loss": 0.25714, "time": 0.5255} +{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16806, "decode.acc_seg": 75.87099, "aux.loss_seg": 0.0955, "aux.acc_seg": 74.03285, "loss": 0.26355, "time": 0.53645} +{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4749, "mAcc": 0.593, "aAcc": 0.8239, "IoU.wall": 0.7608, "IoU.building": 0.8097, "IoU.sky": 0.9382, "IoU.floor": 0.8105, "IoU.tree": 0.7413, "IoU.ceiling": 0.8384, "IoU.road": 0.8384, "IoU.bed ": 0.8849, "IoU.windowpane": 0.6014, "IoU.grass": 0.6634, "IoU.cabinet": 0.6029, "IoU.sidewalk": 0.6553, "IoU.person": 0.7779, "IoU.earth": 0.364, "IoU.door": 0.4785, "IoU.table": 0.5571, "IoU.mountain": 0.5646, "IoU.plant": 0.5183, "IoU.curtain": 0.7122, "IoU.chair": 0.5445, "IoU.car": 0.8327, "IoU.water": 0.5375, "IoU.painting": 0.7167, "IoU.sofa": 0.6083, "IoU.shelf": 0.4236, "IoU.house": 0.4387, "IoU.sea": 0.5933, "IoU.mirror": 0.6588, "IoU.rug": 0.5789, "IoU.field": 0.3068, "IoU.armchair": 0.3922, "IoU.seat": 0.622, "IoU.fence": 0.4562, "IoU.desk": 0.461, "IoU.rock": 0.4276, "IoU.wardrobe": 0.5035, "IoU.lamp": 0.6005, "IoU.bathtub": 0.7577, "IoU.railing": 0.3248, "IoU.cushion": 0.5375, "IoU.base": 0.3119, "IoU.box": 0.2744, "IoU.column": 0.3927, "IoU.signboard": 0.3741, "IoU.chest of drawers": 0.3979, "IoU.counter": 0.2486, "IoU.sand": 0.5219, "IoU.sink": 0.6952, "IoU.skyscraper": 0.629, "IoU.fireplace": NaN, "IoU.refrigerator": 0.751, "IoU.grandstand": 0.42, "IoU.path": 0.2878, "IoU.stairs": 0.3141, "IoU.runway": 0.6746, "IoU.case": 0.5106, "IoU.pool table": 0.9099, "IoU.pillow": 0.5432, "IoU.screen door": 0.7132, "IoU.stairway": 0.3493, "IoU.river": 0.1606, "IoU.bridge": 0.6249, "IoU.bookcase": 0.4054, "IoU.blind": NaN, "IoU.coffee table": 0.5033, "IoU.toilet": 0.8272, "IoU.flower": 0.43, "IoU.book": 0.4445, "IoU.hill": 0.0559, "IoU.bench": 0.5032, "IoU.countertop": 0.4958, "IoU.stove": 0.6933, "IoU.palm": 0.4796, "IoU.kitchen island": 0.3314, "IoU.computer": 0.7084, "IoU.swivel chair": 0.4516, "IoU.boat": 0.4224, "IoU.bar": 0.2263, "IoU.arcade machine": 0.6062, "IoU.hovel": 0.3926, "IoU.bus": 0.8635, "IoU.towel": 0.591, "IoU.light": 0.5292, "IoU.truck": 0.3462, "IoU.tower": 0.1153, "IoU.chandelier": 0.6443, "IoU.awning": 0.2696, "IoU.streetlight": 0.2148, "IoU.booth": 0.5609, "IoU.television receiver": NaN, "IoU.airplane": 0.6274, "IoU.dirt track": 0.1585, "IoU.apparel": 0.2605, "IoU.pole": 0.1709, "IoU.land": 0.0506, "IoU.bannister": 0.0981, "IoU.escalator": 0.3617, "IoU.ottoman": 0.3926, "IoU.bottle": NaN, "IoU.buffet": 0.4062, "IoU.poster": 0.2969, "IoU.stage": 0.1707, "IoU.van": 0.4116, "IoU.ship": 0.6174, "IoU.fountain": 0.2105, "IoU.conveyer belt": 0.7077, "IoU.canopy": 0.1054, "IoU.washer": 0.7609, "IoU.plaything": 0.255, "IoU.swimming pool": 0.5978, "IoU.stool": 0.3857, "IoU.barrel": 0.3428, "IoU.basket": 0.324, "IoU.waterfall": 0.5402, "IoU.tent": 0.913, "IoU.bag": 0.1128, "IoU.minibike": 0.7443, "IoU.cradle": NaN, "IoU.oven": 0.4512, "IoU.ball": 0.4051, "IoU.food": 0.3558, "IoU.step": 0.0851, "IoU.tank": 0.5071, "IoU.trade name": 0.2694, "IoU.microwave": 0.6796, "IoU.pot": 0.4992, "IoU.animal": NaN, "IoU.bicycle": 0.5353, "IoU.lake": 0.6164, "IoU.dishwasher": 0.5319, "IoU.screen": 0.6483, "IoU.blanket": 0.1495, "IoU.sculpture": 0.5586, "IoU.hood": 0.6315, "IoU.sconce": 0.4436, "IoU.vase": 0.3485, "IoU.traffic light": 0.2803, "IoU.tray": 0.0868, "IoU.ashcan": 0.3963, "IoU.fan": 0.5576, "IoU.pier": 0.3181, "IoU.crt screen": 0.0444, "IoU.plate": 0.5262, "IoU.monitor": 0.0216, "IoU.bulletin board": 0.3462, "IoU.shower": 0.025, "IoU.radiator": 0.5253, "IoU.glass": 0.1211, "IoU.clock": 0.3458, "IoU.flag": 0.3974, "Acc.wall": 0.8763, "Acc.building": 0.9086, "Acc.sky": 0.9718, "Acc.floor": 0.8996, "Acc.tree": 0.8727, "Acc.ceiling": 0.9256, "Acc.road": 0.903, "Acc.bed ": 0.9511, "Acc.windowpane": 0.787, "Acc.grass": 0.852, "Acc.cabinet": 0.7346, "Acc.sidewalk": 0.8188, "Acc.person": 0.9118, "Acc.earth": 0.4851, "Acc.door": 0.6091, "Acc.table": 0.7481, "Acc.mountain": 0.731, "Acc.plant": 0.6248, "Acc.curtain": 0.8397, "Acc.chair": 0.6924, "Acc.car": 0.9125, "Acc.water": 0.6729, "Acc.painting": 0.8647, "Acc.sofa": 0.7795, "Acc.shelf": 0.5514, "Acc.house": 0.6237, "Acc.sea": 0.8747, "Acc.mirror": 0.7892, "Acc.rug": 0.6888, "Acc.field": 0.492, "Acc.armchair": 0.5835, "Acc.seat": 0.8216, "Acc.fence": 0.6679, "Acc.desk": 0.6342, "Acc.rock": 0.6841, "Acc.wardrobe": 0.6261, "Acc.lamp": 0.7181, "Acc.bathtub": 0.8164, "Acc.railing": 0.4458, "Acc.cushion": 0.6902, "Acc.base": 0.4475, "Acc.box": 0.343, "Acc.column": 0.5241, "Acc.signboard": 0.514, "Acc.chest of drawers": 0.5771, "Acc.counter": 0.3011, "Acc.sand": 0.709, "Acc.sink": 0.78, "Acc.skyscraper": 0.789, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8644, "Acc.grandstand": 0.6373, "Acc.path": 0.4202, "Acc.stairs": 0.3775, "Acc.runway": 0.8774, "Acc.case": 0.6993, "Acc.pool table": 0.9606, "Acc.pillow": 0.6571, "Acc.screen door": 0.7761, "Acc.stairway": 0.4114, "Acc.river": 0.2824, "Acc.bridge": 0.702, "Acc.bookcase": 0.4759, "Acc.blind": NaN, "Acc.coffee table": 0.7968, "Acc.toilet": 0.8828, "Acc.flower": 0.59, "Acc.book": 0.6299, "Acc.hill": 0.0722, "Acc.bench": 0.5787, "Acc.countertop": 0.7111, "Acc.stove": 0.7851, "Acc.palm": 0.6925, "Acc.kitchen island": 0.6765, "Acc.computer": 0.8571, "Acc.swivel chair": 0.6716, "Acc.boat": 0.506, "Acc.bar": 0.2864, "Acc.arcade machine": 0.6353, "Acc.hovel": 0.4511, "Acc.bus": 0.9545, "Acc.towel": 0.7097, "Acc.light": 0.5985, "Acc.truck": 0.4943, "Acc.tower": 0.1972, "Acc.chandelier": 0.8472, "Acc.awning": 0.3351, "Acc.streetlight": 0.2886, "Acc.booth": 0.6647, "Acc.television receiver": NaN, "Acc.airplane": 0.7186, "Acc.dirt track": 0.2227, "Acc.apparel": 0.41, "Acc.pole": 0.2435, "Acc.land": 0.0635, "Acc.bannister": 0.1262, "Acc.escalator": 0.4583, "Acc.ottoman": 0.5235, "Acc.bottle": NaN, "Acc.buffet": 0.4611, "Acc.poster": 0.423, "Acc.stage": 0.2559, "Acc.van": 0.5848, "Acc.ship": 0.8996, "Acc.fountain": 0.2159, "Acc.conveyer belt": 0.8589, "Acc.canopy": 0.1607, "Acc.washer": 0.7814, "Acc.plaything": 0.3701, "Acc.swimming pool": 0.8127, "Acc.stool": 0.4505, "Acc.barrel": 0.708, "Acc.basket": 0.3979, "Acc.waterfall": 0.6194, "Acc.tent": 0.9866, "Acc.bag": 0.13, "Acc.minibike": 0.855, "Acc.cradle": NaN, "Acc.oven": 0.543, "Acc.ball": 0.446, "Acc.food": 0.415, "Acc.step": 0.0937, "Acc.tank": 0.5756, "Acc.trade name": 0.3172, "Acc.microwave": 0.7693, "Acc.pot": 0.5575, "Acc.animal": NaN, "Acc.bicycle": 0.7696, "Acc.lake": 0.6251, "Acc.dishwasher": 0.6803, "Acc.screen": 0.8807, "Acc.blanket": 0.1749, "Acc.sculpture": 0.7574, "Acc.hood": 0.6914, "Acc.sconce": 0.558, "Acc.vase": 0.4926, "Acc.traffic light": 0.4059, "Acc.tray": 0.1543, "Acc.ashcan": 0.5207, "Acc.fan": 0.7135, "Acc.pier": 0.4801, "Acc.crt screen": 0.1187, "Acc.plate": 0.6905, "Acc.monitor": 0.0234, "Acc.bulletin board": 0.4647, "Acc.shower": 0.0441, "Acc.radiator": 0.5916, "Acc.glass": 0.1298, "Acc.clock": 0.3981, "Acc.flag": 0.453} +{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 22404, "data_time": 1.56369, "decode.loss_seg": 0.1608, "decode.acc_seg": 74.93282, "aux.loss_seg": 0.09271, "aux.acc_seg": 73.07867, "loss": 0.25351, "time": 2.09457} +{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.16648, "decode.acc_seg": 75.91016, "aux.loss_seg": 0.09611, "aux.acc_seg": 73.90643, "loss": 0.2626, "time": 0.51407} +{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.16297, "decode.acc_seg": 74.80225, "aux.loss_seg": 0.09318, "aux.acc_seg": 72.93063, "loss": 0.25615, "time": 0.51254} +{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.1542, "decode.acc_seg": 77.00887, "aux.loss_seg": 0.08971, "aux.acc_seg": 75.14143, "loss": 0.24391, "time": 0.51449} +{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.16087, "decode.acc_seg": 73.62614, "aux.loss_seg": 0.09224, "aux.acc_seg": 71.83509, "loss": 0.25311, "time": 0.51144} +{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.15841, "decode.acc_seg": 75.05434, "aux.loss_seg": 0.09285, "aux.acc_seg": 73.09076, "loss": 0.25126, "time": 0.51095} +{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.16586, "decode.acc_seg": 74.5913, "aux.loss_seg": 0.09489, "aux.acc_seg": 72.7859, "loss": 0.26074, "time": 0.5144} +{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 22404, "data_time": 0.0065, "decode.loss_seg": 0.16765, "decode.acc_seg": 76.59814, "aux.loss_seg": 0.09732, "aux.acc_seg": 74.55395, "loss": 0.26497, "time": 0.51997} +{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.16142, "decode.acc_seg": 75.35367, "aux.loss_seg": 0.09231, "aux.acc_seg": 73.50129, "loss": 0.25374, "time": 0.51301} +{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.15762, "decode.acc_seg": 74.3262, "aux.loss_seg": 0.0897, "aux.acc_seg": 72.4558, "loss": 0.24732, "time": 0.51596} +{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.17328, "decode.acc_seg": 74.27137, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.20425, "loss": 0.27282, "time": 0.51235} +{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.16714, "decode.acc_seg": 75.52144, "aux.loss_seg": 0.09422, "aux.acc_seg": 73.63578, "loss": 0.26136, "time": 0.52647} +{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.15925, "decode.acc_seg": 75.8647, "aux.loss_seg": 0.09001, "aux.acc_seg": 74.12667, "loss": 0.24926, "time": 0.53032} +{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16353, "decode.acc_seg": 75.14295, "aux.loss_seg": 0.0947, "aux.acc_seg": 73.16936, "loss": 0.25823, "time": 0.51869} +{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.16512, "decode.acc_seg": 75.21644, "aux.loss_seg": 0.0931, "aux.acc_seg": 73.4792, "loss": 0.25822, "time": 0.50982} +{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.16427, "decode.acc_seg": 76.39957, "aux.loss_seg": 0.09477, "aux.acc_seg": 74.54212, "loss": 0.25904, "time": 0.50633} +{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.16417, "decode.acc_seg": 75.27521, "aux.loss_seg": 0.09367, "aux.acc_seg": 73.47245, "loss": 0.25783, "time": 0.52816} +{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.17212, "decode.acc_seg": 75.87635, "aux.loss_seg": 0.09686, "aux.acc_seg": 74.02285, "loss": 0.26898, "time": 0.52619} +{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.16565, "decode.acc_seg": 76.1725, "aux.loss_seg": 0.09343, "aux.acc_seg": 74.29867, "loss": 0.25909, "time": 0.5124} +{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.15972, "decode.acc_seg": 74.36729, "aux.loss_seg": 0.08876, "aux.acc_seg": 72.76153, "loss": 0.24848, "time": 0.53126} +{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.17042, "decode.acc_seg": 76.80925, "aux.loss_seg": 0.09784, "aux.acc_seg": 74.91856, "loss": 0.26826, "time": 0.51817} +{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.16649, "decode.acc_seg": 75.84883, "aux.loss_seg": 0.09676, "aux.acc_seg": 73.77211, "loss": 0.26325, "time": 0.51206} +{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.16752, "decode.acc_seg": 76.27351, "aux.loss_seg": 0.09748, "aux.acc_seg": 74.21284, "loss": 0.265, "time": 0.51133} +{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.16634, "decode.acc_seg": 75.99031, "aux.loss_seg": 0.09453, "aux.acc_seg": 74.13749, "loss": 0.26087, "time": 0.53236} +{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 22404, "data_time": 0.24421, "decode.loss_seg": 0.16521, "decode.acc_seg": 75.38412, "aux.loss_seg": 0.0953, "aux.acc_seg": 73.47448, "loss": 0.26051, "time": 0.78275} +{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.16418, "decode.acc_seg": 75.82127, "aux.loss_seg": 0.09515, "aux.acc_seg": 73.89814, "loss": 0.25933, "time": 0.51582} +{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.16641, "decode.acc_seg": 75.77493, "aux.loss_seg": 0.09605, "aux.acc_seg": 73.77125, "loss": 0.26246, "time": 0.53057} +{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.16692, "decode.acc_seg": 76.104, "aux.loss_seg": 0.09442, "aux.acc_seg": 74.29216, "loss": 0.26134, "time": 0.51555} +{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.16636, "decode.acc_seg": 75.13599, "aux.loss_seg": 0.09641, "aux.acc_seg": 73.22624, "loss": 0.26277, "time": 0.51478} +{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.16124, "decode.acc_seg": 75.46313, "aux.loss_seg": 0.09302, "aux.acc_seg": 73.57748, "loss": 0.25426, "time": 0.51483} +{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.16188, "decode.acc_seg": 73.324, "aux.loss_seg": 0.09453, "aux.acc_seg": 71.42971, "loss": 0.25641, "time": 0.52494} +{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16319, "decode.acc_seg": 76.1598, "aux.loss_seg": 0.09339, "aux.acc_seg": 74.36307, "loss": 0.25659, "time": 0.52636} +{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.15885, "decode.acc_seg": 74.6633, "aux.loss_seg": 0.09278, "aux.acc_seg": 72.753, "loss": 0.25163, "time": 0.54085} +{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.15761, "decode.acc_seg": 74.73357, "aux.loss_seg": 0.09096, "aux.acc_seg": 72.9061, "loss": 0.24857, "time": 0.5117} +{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16857, "decode.acc_seg": 75.39745, "aux.loss_seg": 0.09515, "aux.acc_seg": 73.53952, "loss": 0.26372, "time": 0.51013} +{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.15908, "decode.acc_seg": 75.66673, "aux.loss_seg": 0.0906, "aux.acc_seg": 73.95692, "loss": 0.24968, "time": 0.53355} +{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.16473, "decode.acc_seg": 75.36626, "aux.loss_seg": 0.09189, "aux.acc_seg": 73.6562, "loss": 0.25662, "time": 0.5466} +{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.16215, "decode.acc_seg": 75.05619, "aux.loss_seg": 0.09323, "aux.acc_seg": 73.12558, "loss": 0.25538, "time": 0.54073} +{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16355, "decode.acc_seg": 76.00758, "aux.loss_seg": 0.09642, "aux.acc_seg": 73.87821, "loss": 0.25998, "time": 0.53474} +{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16598, "decode.acc_seg": 74.99825, "aux.loss_seg": 0.09629, "aux.acc_seg": 73.06999, "loss": 0.26227, "time": 0.51956} +{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.15693, "decode.acc_seg": 75.18379, "aux.loss_seg": 0.09087, "aux.acc_seg": 73.22882, "loss": 0.24781, "time": 0.5141} +{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.16639, "decode.acc_seg": 75.044, "aux.loss_seg": 0.0975, "aux.acc_seg": 73.02816, "loss": 0.26389, "time": 0.52088} +{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.1682, "decode.acc_seg": 75.45077, "aux.loss_seg": 0.09686, "aux.acc_seg": 73.45026, "loss": 0.26506, "time": 0.51164} +{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.15612, "decode.acc_seg": 74.88108, "aux.loss_seg": 0.09148, "aux.acc_seg": 72.99053, "loss": 0.24761, "time": 0.51559} +{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.16784, "decode.acc_seg": 74.66059, "aux.loss_seg": 0.09645, "aux.acc_seg": 72.80798, "loss": 0.26429, "time": 0.51392} +{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.16254, "decode.acc_seg": 74.92646, "aux.loss_seg": 0.09229, "aux.acc_seg": 73.09981, "loss": 0.25484, "time": 0.51412} +{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.16115, "decode.acc_seg": 77.0249, "aux.loss_seg": 0.09271, "aux.acc_seg": 75.09529, "loss": 0.25386, "time": 0.51191} +{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15572, "decode.acc_seg": 74.0949, "aux.loss_seg": 0.08898, "aux.acc_seg": 72.41629, "loss": 0.2447, "time": 0.51319} +{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16752, "decode.acc_seg": 75.52023, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.56193, "loss": 0.26519, "time": 0.5315} +{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.16643, "decode.acc_seg": 75.48548, "aux.loss_seg": 0.09316, "aux.acc_seg": 73.64275, "loss": 0.25959, "time": 0.51183} +{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 22404, "data_time": 0.24689, "decode.loss_seg": 0.16991, "decode.acc_seg": 76.57033, "aux.loss_seg": 0.09481, "aux.acc_seg": 74.78192, "loss": 0.26472, "time": 0.76715} +{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.16284, "decode.acc_seg": 75.29229, "aux.loss_seg": 0.0926, "aux.acc_seg": 73.50716, "loss": 0.25544, "time": 0.53255} +{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.15999, "decode.acc_seg": 76.34806, "aux.loss_seg": 0.09189, "aux.acc_seg": 74.57182, "loss": 0.25189, "time": 0.51732} +{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16452, "decode.acc_seg": 75.6897, "aux.loss_seg": 0.09545, "aux.acc_seg": 73.76027, "loss": 0.25997, "time": 0.53778} +{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.16201, "decode.acc_seg": 75.95154, "aux.loss_seg": 0.09544, "aux.acc_seg": 73.93014, "loss": 0.25745, "time": 0.51446} +{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.16778, "decode.acc_seg": 75.04649, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.22338, "loss": 0.26398, "time": 0.5157} +{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.16297, "decode.acc_seg": 73.63624, "aux.loss_seg": 0.09226, "aux.acc_seg": 71.8113, "loss": 0.25523, "time": 0.52053} +{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16643, "decode.acc_seg": 75.82853, "aux.loss_seg": 0.09614, "aux.acc_seg": 73.87272, "loss": 0.26257, "time": 0.52158} +{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.15638, "decode.acc_seg": 75.78727, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.86982, "loss": 0.24762, "time": 0.51361} +{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15579, "decode.acc_seg": 75.15329, "aux.loss_seg": 0.09101, "aux.acc_seg": 73.249, "loss": 0.2468, "time": 0.53552} +{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.15522, "decode.acc_seg": 74.8041, "aux.loss_seg": 0.08919, "aux.acc_seg": 73.0103, "loss": 0.24441, "time": 0.51558} +{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.14955, "decode.acc_seg": 76.45934, "aux.loss_seg": 0.08914, "aux.acc_seg": 74.49246, "loss": 0.23869, "time": 0.53203} +{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.15922, "decode.acc_seg": 75.34423, "aux.loss_seg": 0.09059, "aux.acc_seg": 73.52253, "loss": 0.24981, "time": 0.50818} +{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.16436, "decode.acc_seg": 74.57108, "aux.loss_seg": 0.09481, "aux.acc_seg": 72.65699, "loss": 0.25917, "time": 0.50878} +{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.16155, "decode.acc_seg": 75.92657, "aux.loss_seg": 0.09357, "aux.acc_seg": 74.01499, "loss": 0.25512, "time": 0.51384} +{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.16123, "decode.acc_seg": 76.06291, "aux.loss_seg": 0.09461, "aux.acc_seg": 74.07809, "loss": 0.25583, "time": 0.51357} +{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16794, "decode.acc_seg": 75.36785, "aux.loss_seg": 0.09659, "aux.acc_seg": 73.46263, "loss": 0.26453, "time": 0.513} +{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.16057, "decode.acc_seg": 75.27014, "aux.loss_seg": 0.09114, "aux.acc_seg": 73.50515, "loss": 0.25171, "time": 0.52913} +{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.15987, "decode.acc_seg": 73.88045, "aux.loss_seg": 0.09241, "aux.acc_seg": 71.96439, "loss": 0.25229, "time": 0.52047} +{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.1538, "decode.acc_seg": 74.98928, "aux.loss_seg": 0.09021, "aux.acc_seg": 73.05638, "loss": 0.24401, "time": 0.51855} +{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.17643, "decode.acc_seg": 74.89776, "aux.loss_seg": 0.09991, "aux.acc_seg": 72.97814, "loss": 0.27634, "time": 0.51262} +{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.16555, "decode.acc_seg": 74.78256, "aux.loss_seg": 0.09387, "aux.acc_seg": 72.93984, "loss": 0.25942, "time": 0.51306} +{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.16256, "decode.acc_seg": 75.30203, "aux.loss_seg": 0.09315, "aux.acc_seg": 73.47776, "loss": 0.25571, "time": 0.51998} +{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 22404, "data_time": 0.0082, "decode.loss_seg": 0.16652, "decode.acc_seg": 74.95205, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.02868, "loss": 0.26193, "time": 0.54901} +{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.15963, "decode.acc_seg": 76.19146, "aux.loss_seg": 0.09125, "aux.acc_seg": 74.41038, "loss": 0.25088, "time": 0.51284} +{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 22404, "data_time": 0.25258, "decode.loss_seg": 0.15557, "decode.acc_seg": 76.45396, "aux.loss_seg": 0.08881, "aux.acc_seg": 74.68776, "loss": 0.24439, "time": 0.75554} +{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.15689, "decode.acc_seg": 74.85678, "aux.loss_seg": 0.0905, "aux.acc_seg": 72.99917, "loss": 0.24738, "time": 0.51708} +{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.15798, "decode.acc_seg": 74.49369, "aux.loss_seg": 0.08969, "aux.acc_seg": 72.73741, "loss": 0.24767, "time": 0.53346} +{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.15868, "decode.acc_seg": 74.77924, "aux.loss_seg": 0.09145, "aux.acc_seg": 72.89525, "loss": 0.25013, "time": 0.51868} +{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.16043, "decode.acc_seg": 74.67383, "aux.loss_seg": 0.09136, "aux.acc_seg": 72.80189, "loss": 0.25179, "time": 0.51595} +{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16859, "decode.acc_seg": 75.22557, "aux.loss_seg": 0.09546, "aux.acc_seg": 73.30306, "loss": 0.26405, "time": 0.53477} +{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.16554, "decode.acc_seg": 75.36856, "aux.loss_seg": 0.09203, "aux.acc_seg": 73.68074, "loss": 0.25757, "time": 0.53552} +{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16024, "decode.acc_seg": 75.69143, "aux.loss_seg": 0.09157, "aux.acc_seg": 73.87137, "loss": 0.25182, "time": 0.51393} +{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16218, "decode.acc_seg": 74.35025, "aux.loss_seg": 0.09519, "aux.acc_seg": 72.34545, "loss": 0.25737, "time": 0.53271} +{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.16065, "decode.acc_seg": 76.68961, "aux.loss_seg": 0.09206, "aux.acc_seg": 74.73324, "loss": 0.2527, "time": 0.53402} +{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.16322, "decode.acc_seg": 74.29376, "aux.loss_seg": 0.09454, "aux.acc_seg": 72.32086, "loss": 0.25776, "time": 0.51857} +{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.16866, "decode.acc_seg": 75.44659, "aux.loss_seg": 0.09886, "aux.acc_seg": 73.35516, "loss": 0.26752, "time": 0.53107} +{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.15221, "decode.acc_seg": 74.7743, "aux.loss_seg": 0.08839, "aux.acc_seg": 72.90043, "loss": 0.2406, "time": 0.5194} +{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.15908, "decode.acc_seg": 76.23161, "aux.loss_seg": 0.0909, "aux.acc_seg": 74.43339, "loss": 0.24997, "time": 0.52497} +{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15753, "decode.acc_seg": 75.69218, "aux.loss_seg": 0.09229, "aux.acc_seg": 73.74212, "loss": 0.24982, "time": 0.5143} +{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 22404, "data_time": 0.00819, "decode.loss_seg": 0.15854, "decode.acc_seg": 75.62213, "aux.loss_seg": 0.09244, "aux.acc_seg": 73.79, "loss": 0.25098, "time": 0.54056} +{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.15879, "decode.acc_seg": 75.38869, "aux.loss_seg": 0.09076, "aux.acc_seg": 73.6037, "loss": 0.24955, "time": 0.52015} +{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.16676, "decode.acc_seg": 75.77149, "aux.loss_seg": 0.0974, "aux.acc_seg": 73.67036, "loss": 0.26416, "time": 0.51501} +{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.15422, "decode.acc_seg": 75.36599, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.39614, "loss": 0.24548, "time": 0.51478} +{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16386, "decode.acc_seg": 73.92561, "aux.loss_seg": 0.09515, "aux.acc_seg": 72.0609, "loss": 0.25901, "time": 0.51861} +{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.16496, "decode.acc_seg": 74.84642, "aux.loss_seg": 0.09307, "aux.acc_seg": 73.1036, "loss": 0.25803, "time": 0.51441} +{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16167, "decode.acc_seg": 74.07167, "aux.loss_seg": 0.09433, "aux.acc_seg": 72.05085, "loss": 0.25601, "time": 0.52286} +{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16201, "decode.acc_seg": 76.95119, "aux.loss_seg": 0.09585, "aux.acc_seg": 74.85449, "loss": 0.25786, "time": 0.52732} +{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16741, "decode.acc_seg": 75.51368, "aux.loss_seg": 0.09519, "aux.acc_seg": 73.66302, "loss": 0.2626, "time": 0.53915} +{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.16757, "decode.acc_seg": 75.77709, "aux.loss_seg": 0.09653, "aux.acc_seg": 73.79394, "loss": 0.2641, "time": 0.52226} +{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 22404, "data_time": 0.25129, "decode.loss_seg": 0.16505, "decode.acc_seg": 74.63546, "aux.loss_seg": 0.09458, "aux.acc_seg": 72.76952, "loss": 0.25963, "time": 0.75984} +{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16075, "decode.acc_seg": 75.57919, "aux.loss_seg": 0.09326, "aux.acc_seg": 73.59749, "loss": 0.25401, "time": 0.51824} +{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.15387, "decode.acc_seg": 75.69213, "aux.loss_seg": 0.08872, "aux.acc_seg": 73.81518, "loss": 0.24259, "time": 0.52765} +{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.16081, "decode.acc_seg": 76.00101, "aux.loss_seg": 0.09044, "aux.acc_seg": 74.24181, "loss": 0.25125, "time": 0.54281} +{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15745, "decode.acc_seg": 75.30126, "aux.loss_seg": 0.09195, "aux.acc_seg": 73.37178, "loss": 0.2494, "time": 0.53385} +{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16055, "decode.acc_seg": 74.67777, "aux.loss_seg": 0.09254, "aux.acc_seg": 72.77269, "loss": 0.25309, "time": 0.51619} +{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.16257, "decode.acc_seg": 74.64726, "aux.loss_seg": 0.09347, "aux.acc_seg": 72.82128, "loss": 0.25603, "time": 0.51738} +{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.15138, "decode.acc_seg": 74.43919, "aux.loss_seg": 0.08902, "aux.acc_seg": 72.46246, "loss": 0.24039, "time": 0.51945} +{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16188, "decode.acc_seg": 74.59707, "aux.loss_seg": 0.09316, "aux.acc_seg": 72.62906, "loss": 0.25504, "time": 0.52796} +{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.16037, "decode.acc_seg": 75.83118, "aux.loss_seg": 0.09116, "aux.acc_seg": 74.04192, "loss": 0.25153, "time": 0.52083} +{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.15979, "decode.acc_seg": 75.32525, "aux.loss_seg": 0.09374, "aux.acc_seg": 73.41549, "loss": 0.25353, "time": 0.51734} +{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.15489, "decode.acc_seg": 75.04028, "aux.loss_seg": 0.0888, "aux.acc_seg": 73.30435, "loss": 0.24368, "time": 0.53712} +{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.16523, "decode.acc_seg": 75.41137, "aux.loss_seg": 0.09427, "aux.acc_seg": 73.58104, "loss": 0.2595, "time": 0.54334} +{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.16999, "decode.acc_seg": 75.9847, "aux.loss_seg": 0.0976, "aux.acc_seg": 74.00944, "loss": 0.26759, "time": 0.51737} +{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16099, "decode.acc_seg": 75.346, "aux.loss_seg": 0.09434, "aux.acc_seg": 73.42682, "loss": 0.25533, "time": 0.52133} +{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.16021, "decode.acc_seg": 75.66626, "aux.loss_seg": 0.09165, "aux.acc_seg": 73.96177, "loss": 0.25186, "time": 0.51718} +{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.1582, "decode.acc_seg": 74.0347, "aux.loss_seg": 0.09331, "aux.acc_seg": 72.08102, "loss": 0.25151, "time": 0.52328} +{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.1586, "decode.acc_seg": 76.0664, "aux.loss_seg": 0.09214, "aux.acc_seg": 74.2705, "loss": 0.25075, "time": 0.53301} +{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.1581, "decode.acc_seg": 76.35129, "aux.loss_seg": 0.09083, "aux.acc_seg": 74.49565, "loss": 0.24893, "time": 0.51647} +{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16249, "decode.acc_seg": 76.61885, "aux.loss_seg": 0.09379, "aux.acc_seg": 74.73015, "loss": 0.25628, "time": 0.51587} +{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.16363, "decode.acc_seg": 75.73414, "aux.loss_seg": 0.09296, "aux.acc_seg": 73.91264, "loss": 0.2566, "time": 0.51722} +{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16513, "decode.acc_seg": 74.74985, "aux.loss_seg": 0.09707, "aux.acc_seg": 72.79613, "loss": 0.2622, "time": 0.52542} +{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.16053, "decode.acc_seg": 76.84338, "aux.loss_seg": 0.09233, "aux.acc_seg": 75.07686, "loss": 0.25286, "time": 0.51594} +{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.16689, "decode.acc_seg": 74.35134, "aux.loss_seg": 0.09551, "aux.acc_seg": 72.3987, "loss": 0.2624, "time": 0.52829} +{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.15878, "decode.acc_seg": 75.96953, "aux.loss_seg": 0.09071, "aux.acc_seg": 74.19554, "loss": 0.24949, "time": 0.52183} +{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 22404, "data_time": 0.25533, "decode.loss_seg": 0.16243, "decode.acc_seg": 75.36184, "aux.loss_seg": 0.0934, "aux.acc_seg": 73.51693, "loss": 0.25583, "time": 0.75861} +{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16776, "decode.acc_seg": 76.81145, "aux.loss_seg": 0.0964, "aux.acc_seg": 74.82386, "loss": 0.26416, "time": 0.51306} +{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.15751, "decode.acc_seg": 75.42762, "aux.loss_seg": 0.09156, "aux.acc_seg": 73.51494, "loss": 0.24907, "time": 0.51449} +{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.16294, "decode.acc_seg": 75.83458, "aux.loss_seg": 0.09172, "aux.acc_seg": 74.10036, "loss": 0.25467, "time": 0.52624} +{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.15961, "decode.acc_seg": 76.28401, "aux.loss_seg": 0.09242, "aux.acc_seg": 74.43752, "loss": 0.25203, "time": 0.526} +{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.1563, "decode.acc_seg": 76.4734, "aux.loss_seg": 0.08991, "aux.acc_seg": 74.69541, "loss": 0.24621, "time": 0.52275} +{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.15643, "decode.acc_seg": 76.07828, "aux.loss_seg": 0.09129, "aux.acc_seg": 74.22176, "loss": 0.24772, "time": 0.51684} +{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1583, "decode.acc_seg": 75.21037, "aux.loss_seg": 0.09096, "aux.acc_seg": 73.41297, "loss": 0.24926, "time": 0.52374} +{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.16087, "decode.acc_seg": 76.17548, "aux.loss_seg": 0.09284, "aux.acc_seg": 74.3587, "loss": 0.25371, "time": 0.5365} +{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.16707, "decode.acc_seg": 75.84949, "aux.loss_seg": 0.09585, "aux.acc_seg": 73.93107, "loss": 0.26292, "time": 0.52955} +{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.14835, "decode.acc_seg": 74.33245, "aux.loss_seg": 0.08589, "aux.acc_seg": 72.58048, "loss": 0.23423, "time": 0.5309} +{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.15182, "decode.acc_seg": 73.9691, "aux.loss_seg": 0.08955, "aux.acc_seg": 72.01379, "loss": 0.24137, "time": 0.5153} +{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.15492, "decode.acc_seg": 74.90039, "aux.loss_seg": 0.09204, "aux.acc_seg": 72.85104, "loss": 0.24696, "time": 0.52298} +{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.1649, "decode.acc_seg": 75.67974, "aux.loss_seg": 0.09719, "aux.acc_seg": 73.59462, "loss": 0.26209, "time": 0.51712} +{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16142, "decode.acc_seg": 74.84069, "aux.loss_seg": 0.09589, "aux.acc_seg": 72.71693, "loss": 0.25731, "time": 0.52142} +{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16406, "decode.acc_seg": 75.95035, "aux.loss_seg": 0.0969, "aux.acc_seg": 73.78235, "loss": 0.26096, "time": 0.51825} +{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.15863, "decode.acc_seg": 74.81302, "aux.loss_seg": 0.09128, "aux.acc_seg": 73.00852, "loss": 0.24991, "time": 0.51617} +{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16306, "decode.acc_seg": 74.18364, "aux.loss_seg": 0.0936, "aux.acc_seg": 72.38733, "loss": 0.25665, "time": 0.51745} +{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15294, "decode.acc_seg": 74.36767, "aux.loss_seg": 0.09005, "aux.acc_seg": 72.37652, "loss": 0.24299, "time": 0.51379} +{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.16185, "decode.acc_seg": 74.03172, "aux.loss_seg": 0.09433, "aux.acc_seg": 72.14576, "loss": 0.25617, "time": 0.50968} +{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16223, "decode.acc_seg": 74.4859, "aux.loss_seg": 0.09371, "aux.acc_seg": 72.64828, "loss": 0.25594, "time": 0.51276} +{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16258, "decode.acc_seg": 74.56068, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.73818, "loss": 0.25617, "time": 0.5276} +{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16543, "decode.acc_seg": 76.55545, "aux.loss_seg": 0.09574, "aux.acc_seg": 74.62335, "loss": 0.26117, "time": 0.51595} +{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16436, "decode.acc_seg": 75.78979, "aux.loss_seg": 0.09258, "aux.acc_seg": 73.94435, "loss": 0.25694, "time": 0.51951} +{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.16287, "decode.acc_seg": 76.31517, "aux.loss_seg": 0.09514, "aux.acc_seg": 74.33064, "loss": 0.25801, "time": 0.52223} +{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.16054, "decode.acc_seg": 75.7569, "aux.loss_seg": 0.09169, "aux.acc_seg": 73.84665, "loss": 0.25223, "time": 0.52716} +{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 22404, "data_time": 0.25386, "decode.loss_seg": 0.15743, "decode.acc_seg": 74.32001, "aux.loss_seg": 0.09165, "aux.acc_seg": 72.42626, "loss": 0.24908, "time": 0.77242} +{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16848, "decode.acc_seg": 75.40527, "aux.loss_seg": 0.09715, "aux.acc_seg": 73.5142, "loss": 0.26562, "time": 0.51859} +{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.15976, "decode.acc_seg": 75.89802, "aux.loss_seg": 0.09208, "aux.acc_seg": 74.08729, "loss": 0.25184, "time": 0.53085} +{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.1593, "decode.acc_seg": 75.96916, "aux.loss_seg": 0.09134, "aux.acc_seg": 74.13654, "loss": 0.25064, "time": 0.53726} +{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.1496, "decode.acc_seg": 76.13809, "aux.loss_seg": 0.08756, "aux.acc_seg": 74.33872, "loss": 0.23716, "time": 0.51677} +{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.15508, "decode.acc_seg": 75.64108, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.77261, "loss": 0.24527, "time": 0.51918} +{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.15469, "decode.acc_seg": 75.07891, "aux.loss_seg": 0.08995, "aux.acc_seg": 73.08664, "loss": 0.24464, "time": 0.51734} +{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.15801, "decode.acc_seg": 75.22906, "aux.loss_seg": 0.09217, "aux.acc_seg": 73.27431, "loss": 0.25018, "time": 0.53063} +{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.15974, "decode.acc_seg": 73.98445, "aux.loss_seg": 0.09287, "aux.acc_seg": 71.94774, "loss": 0.25261, "time": 0.51723} +{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.15206, "decode.acc_seg": 75.32883, "aux.loss_seg": 0.08758, "aux.acc_seg": 73.53014, "loss": 0.23964, "time": 0.51185} +{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.1614, "decode.acc_seg": 74.85519, "aux.loss_seg": 0.09127, "aux.acc_seg": 73.21046, "loss": 0.25267, "time": 0.52969} +{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16128, "decode.acc_seg": 75.29601, "aux.loss_seg": 0.09342, "aux.acc_seg": 73.38571, "loss": 0.2547, "time": 0.52284} +{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.1558, "decode.acc_seg": 75.65968, "aux.loss_seg": 0.09014, "aux.acc_seg": 73.71434, "loss": 0.24594, "time": 0.52471} +{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17208, "decode.acc_seg": 76.04282, "aux.loss_seg": 0.0975, "aux.acc_seg": 74.25256, "loss": 0.26958, "time": 0.50992} +{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.16065, "decode.acc_seg": 74.41332, "aux.loss_seg": 0.09404, "aux.acc_seg": 72.43526, "loss": 0.2547, "time": 0.51463} +{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16395, "decode.acc_seg": 74.29593, "aux.loss_seg": 0.09492, "aux.acc_seg": 72.33202, "loss": 0.25887, "time": 0.52968} +{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16044, "decode.acc_seg": 76.03919, "aux.loss_seg": 0.09374, "aux.acc_seg": 73.99039, "loss": 0.25418, "time": 0.51653} +{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.15198, "decode.acc_seg": 75.53479, "aux.loss_seg": 0.08764, "aux.acc_seg": 73.71406, "loss": 0.23962, "time": 0.51876} +{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.16208, "decode.acc_seg": 75.79524, "aux.loss_seg": 0.09381, "aux.acc_seg": 73.83683, "loss": 0.25588, "time": 0.51076} +{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.15775, "decode.acc_seg": 74.26277, "aux.loss_seg": 0.09159, "aux.acc_seg": 72.39323, "loss": 0.24934, "time": 0.53528} +{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.15936, "decode.acc_seg": 75.947, "aux.loss_seg": 0.09148, "aux.acc_seg": 74.12047, "loss": 0.25084, "time": 0.52256} +{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.17417, "decode.acc_seg": 75.11653, "aux.loss_seg": 0.09891, "aux.acc_seg": 73.16089, "loss": 0.27309, "time": 0.51784} +{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.1556, "decode.acc_seg": 75.57812, "aux.loss_seg": 0.08859, "aux.acc_seg": 73.78255, "loss": 0.2442, "time": 0.51158} +{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.16056, "decode.acc_seg": 74.51887, "aux.loss_seg": 0.09197, "aux.acc_seg": 72.58213, "loss": 0.25253, "time": 0.51031} +{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.16229, "decode.acc_seg": 75.80505, "aux.loss_seg": 0.08984, "aux.acc_seg": 74.12724, "loss": 0.25213, "time": 0.52332} +{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 22404, "data_time": 0.24484, "decode.loss_seg": 0.16713, "decode.acc_seg": 75.65597, "aux.loss_seg": 0.09477, "aux.acc_seg": 73.78255, "loss": 0.2619, "time": 0.75258} +{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16418, "decode.acc_seg": 75.02239, "aux.loss_seg": 0.09559, "aux.acc_seg": 73.08824, "loss": 0.25976, "time": 0.52509} +{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.15097, "decode.acc_seg": 76.71953, "aux.loss_seg": 0.08948, "aux.acc_seg": 74.80417, "loss": 0.24046, "time": 0.52436} +{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.15981, "decode.acc_seg": 74.3373, "aux.loss_seg": 0.09172, "aux.acc_seg": 72.46134, "loss": 0.25153, "time": 0.54551} +{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.1509, "decode.acc_seg": 75.15263, "aux.loss_seg": 0.08787, "aux.acc_seg": 73.28558, "loss": 0.23877, "time": 0.5146} +{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.15398, "decode.acc_seg": 76.49723, "aux.loss_seg": 0.08825, "aux.acc_seg": 74.76009, "loss": 0.24223, "time": 0.52163} +{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.16336, "decode.acc_seg": 75.87314, "aux.loss_seg": 0.09403, "aux.acc_seg": 73.96883, "loss": 0.25739, "time": 0.54886} +{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.15846, "decode.acc_seg": 74.1871, "aux.loss_seg": 0.09134, "aux.acc_seg": 72.31472, "loss": 0.2498, "time": 0.53458} +{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.16489, "decode.acc_seg": 75.18794, "aux.loss_seg": 0.09586, "aux.acc_seg": 73.18304, "loss": 0.26076, "time": 0.51932} +{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.15501, "decode.acc_seg": 75.63435, "aux.loss_seg": 0.08982, "aux.acc_seg": 73.8036, "loss": 0.24483, "time": 0.52519} +{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.16324, "decode.acc_seg": 76.89578, "aux.loss_seg": 0.09356, "aux.acc_seg": 75.01095, "loss": 0.2568, "time": 0.53108} +{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.15536, "decode.acc_seg": 75.59328, "aux.loss_seg": 0.08849, "aux.acc_seg": 73.93762, "loss": 0.24385, "time": 0.53945} +{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.15837, "decode.acc_seg": 75.50931, "aux.loss_seg": 0.08883, "aux.acc_seg": 73.74275, "loss": 0.2472, "time": 0.51402} +{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16108, "decode.acc_seg": 75.3746, "aux.loss_seg": 0.0922, "aux.acc_seg": 73.5702, "loss": 0.25328, "time": 0.51703} +{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16286, "decode.acc_seg": 76.00649, "aux.loss_seg": 0.09442, "aux.acc_seg": 74.0641, "loss": 0.25728, "time": 0.52237} +{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.16361, "decode.acc_seg": 75.507, "aux.loss_seg": 0.09419, "aux.acc_seg": 73.61856, "loss": 0.2578, "time": 0.511} +{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.16611, "decode.acc_seg": 74.37483, "aux.loss_seg": 0.09652, "aux.acc_seg": 72.34717, "loss": 0.26263, "time": 0.51217} +{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.1522, "decode.acc_seg": 75.04546, "aux.loss_seg": 0.08872, "aux.acc_seg": 73.17538, "loss": 0.24092, "time": 0.51605} +{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16631, "decode.acc_seg": 75.43876, "aux.loss_seg": 0.09626, "aux.acc_seg": 73.44445, "loss": 0.26257, "time": 0.52387} +{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.15729, "decode.acc_seg": 74.51297, "aux.loss_seg": 0.09048, "aux.acc_seg": 72.63999, "loss": 0.24777, "time": 0.5125} +{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.156, "decode.acc_seg": 75.34605, "aux.loss_seg": 0.09073, "aux.acc_seg": 73.49393, "loss": 0.24673, "time": 0.52665} +{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.15219, "decode.acc_seg": 75.36686, "aux.loss_seg": 0.08754, "aux.acc_seg": 73.62173, "loss": 0.23973, "time": 0.5411} +{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.16441, "decode.acc_seg": 74.43243, "aux.loss_seg": 0.09224, "aux.acc_seg": 72.82032, "loss": 0.25666, "time": 0.52476} +{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16053, "decode.acc_seg": 74.69671, "aux.loss_seg": 0.09316, "aux.acc_seg": 72.82058, "loss": 0.25369, "time": 0.52448} +{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.15199, "decode.acc_seg": 75.77584, "aux.loss_seg": 0.08876, "aux.acc_seg": 73.8231, "loss": 0.24075, "time": 0.51181} +{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 22404, "data_time": 0.2431, "decode.loss_seg": 0.15873, "decode.acc_seg": 75.39184, "aux.loss_seg": 0.0914, "aux.acc_seg": 73.50474, "loss": 0.25013, "time": 0.76631} +{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16049, "decode.acc_seg": 75.62581, "aux.loss_seg": 0.09211, "aux.acc_seg": 73.77615, "loss": 0.2526, "time": 0.51975} +{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16116, "decode.acc_seg": 74.867, "aux.loss_seg": 0.09332, "aux.acc_seg": 72.94363, "loss": 0.25448, "time": 0.50969} +{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.1597, "decode.acc_seg": 75.38881, "aux.loss_seg": 0.09099, "aux.acc_seg": 73.61804, "loss": 0.25069, "time": 0.53982} +{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.16988, "decode.acc_seg": 75.03864, "aux.loss_seg": 0.09777, "aux.acc_seg": 73.12068, "loss": 0.26765, "time": 0.52916} +{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15911, "decode.acc_seg": 75.8838, "aux.loss_seg": 0.09016, "aux.acc_seg": 74.13397, "loss": 0.24927, "time": 0.52719} +{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.1595, "decode.acc_seg": 75.71546, "aux.loss_seg": 0.09307, "aux.acc_seg": 73.74672, "loss": 0.25257, "time": 0.50953} +{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16165, "decode.acc_seg": 74.7744, "aux.loss_seg": 0.09335, "aux.acc_seg": 72.87643, "loss": 0.255, "time": 0.51095} +{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.15751, "decode.acc_seg": 75.05448, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.15374, "loss": 0.249, "time": 0.5338} +{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16208, "decode.acc_seg": 76.01114, "aux.loss_seg": 0.09374, "aux.acc_seg": 74.07202, "loss": 0.25582, "time": 0.52003} +{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15635, "decode.acc_seg": 75.4923, "aux.loss_seg": 0.09177, "aux.acc_seg": 73.59173, "loss": 0.24812, "time": 0.50824} +{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.15827, "decode.acc_seg": 75.00755, "aux.loss_seg": 0.0917, "aux.acc_seg": 73.23243, "loss": 0.24997, "time": 0.51427} +{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.1674, "decode.acc_seg": 74.96588, "aux.loss_seg": 0.09646, "aux.acc_seg": 73.00261, "loss": 0.26387, "time": 0.54404} +{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.15183, "decode.acc_seg": 75.30406, "aux.loss_seg": 0.08731, "aux.acc_seg": 73.61468, "loss": 0.23914, "time": 0.51613} +{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.15314, "decode.acc_seg": 76.06115, "aux.loss_seg": 0.08875, "aux.acc_seg": 74.2719, "loss": 0.2419, "time": 0.50899} +{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1557, "decode.acc_seg": 75.34554, "aux.loss_seg": 0.08939, "aux.acc_seg": 73.53609, "loss": 0.24509, "time": 0.51154} +{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16162, "decode.acc_seg": 74.80472, "aux.loss_seg": 0.09305, "aux.acc_seg": 73.00318, "loss": 0.25467, "time": 0.51298} +{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16559, "decode.acc_seg": 74.49959, "aux.loss_seg": 0.0919, "aux.acc_seg": 72.78082, "loss": 0.2575, "time": 0.52664} +{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.15698, "decode.acc_seg": 76.87571, "aux.loss_seg": 0.08979, "aux.acc_seg": 75.04375, "loss": 0.24676, "time": 0.51913} +{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15593, "decode.acc_seg": 74.89857, "aux.loss_seg": 0.09104, "aux.acc_seg": 72.92762, "loss": 0.24697, "time": 0.51382} +{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16094, "decode.acc_seg": 76.32238, "aux.loss_seg": 0.09029, "aux.acc_seg": 74.62267, "loss": 0.25123, "time": 0.5138} +{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.1636, "decode.acc_seg": 75.15164, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.15486, "loss": 0.25902, "time": 0.51803} +{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.16601, "decode.acc_seg": 75.07076, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.31364, "loss": 0.26038, "time": 0.53213} +{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.1656, "decode.acc_seg": 76.03695, "aux.loss_seg": 0.09482, "aux.acc_seg": 74.20537, "loss": 0.26042, "time": 0.5317} +{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.15932, "decode.acc_seg": 76.71852, "aux.loss_seg": 0.0932, "aux.acc_seg": 74.71545, "loss": 0.25252, "time": 0.51099} +{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 22404, "data_time": 0.2451, "decode.loss_seg": 0.15694, "decode.acc_seg": 74.76994, "aux.loss_seg": 0.09166, "aux.acc_seg": 72.9467, "loss": 0.2486, "time": 0.76156} +{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.16313, "decode.acc_seg": 75.15063, "aux.loss_seg": 0.09471, "aux.acc_seg": 73.20947, "loss": 0.25784, "time": 0.52135} +{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.1578, "decode.acc_seg": 75.86802, "aux.loss_seg": 0.09124, "aux.acc_seg": 73.98124, "loss": 0.24904, "time": 0.52146} +{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.15766, "decode.acc_seg": 75.65937, "aux.loss_seg": 0.09056, "aux.acc_seg": 73.90835, "loss": 0.24823, "time": 0.53118} +{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.1584, "decode.acc_seg": 75.82147, "aux.loss_seg": 0.09198, "aux.acc_seg": 73.94066, "loss": 0.25038, "time": 0.51646} +{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.16562, "decode.acc_seg": 75.56334, "aux.loss_seg": 0.09533, "aux.acc_seg": 73.68547, "loss": 0.26096, "time": 0.51885} +{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.1641, "decode.acc_seg": 74.99825, "aux.loss_seg": 0.09487, "aux.acc_seg": 73.01465, "loss": 0.25897, "time": 0.5318} +{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.15932, "decode.acc_seg": 74.5856, "aux.loss_seg": 0.09374, "aux.acc_seg": 72.55001, "loss": 0.25305, "time": 0.54344} +{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.15085, "decode.acc_seg": 75.36016, "aux.loss_seg": 0.08653, "aux.acc_seg": 73.59748, "loss": 0.23739, "time": 0.51853} +{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.15566, "decode.acc_seg": 75.45913, "aux.loss_seg": 0.09072, "aux.acc_seg": 73.4783, "loss": 0.24638, "time": 0.5164} +{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.15478, "decode.acc_seg": 75.0796, "aux.loss_seg": 0.0898, "aux.acc_seg": 73.17301, "loss": 0.24458, "time": 0.54259} +{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.15589, "decode.acc_seg": 76.20792, "aux.loss_seg": 0.0889, "aux.acc_seg": 74.4518, "loss": 0.24479, "time": 0.51846} +{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.15729, "decode.acc_seg": 74.89813, "aux.loss_seg": 0.09184, "aux.acc_seg": 73.03686, "loss": 0.24913, "time": 0.51591} +{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.15882, "decode.acc_seg": 76.75505, "aux.loss_seg": 0.09109, "aux.acc_seg": 74.97794, "loss": 0.2499, "time": 0.50586} +{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.15266, "decode.acc_seg": 76.32579, "aux.loss_seg": 0.09022, "aux.acc_seg": 74.32989, "loss": 0.24287, "time": 0.52672} +{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15587, "decode.acc_seg": 76.58874, "aux.loss_seg": 0.08988, "aux.acc_seg": 74.72483, "loss": 0.24576, "time": 0.51901} +{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.16303, "decode.acc_seg": 75.44536, "aux.loss_seg": 0.09177, "aux.acc_seg": 73.73071, "loss": 0.2548, "time": 0.53782} +{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.16409, "decode.acc_seg": 75.35218, "aux.loss_seg": 0.09495, "aux.acc_seg": 73.38677, "loss": 0.25904, "time": 0.53029} +{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.15718, "decode.acc_seg": 74.28371, "aux.loss_seg": 0.08953, "aux.acc_seg": 72.43693, "loss": 0.24672, "time": 0.51221} +{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.1543, "decode.acc_seg": 75.20814, "aux.loss_seg": 0.09065, "aux.acc_seg": 73.28455, "loss": 0.24495, "time": 0.51234} +{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16452, "decode.acc_seg": 73.71752, "aux.loss_seg": 0.09372, "aux.acc_seg": 71.88425, "loss": 0.25825, "time": 0.51628} +{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.15823, "decode.acc_seg": 75.06852, "aux.loss_seg": 0.09399, "aux.acc_seg": 73.02685, "loss": 0.25222, "time": 0.51879} +{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.15093, "decode.acc_seg": 74.53642, "aux.loss_seg": 0.08613, "aux.acc_seg": 72.84225, "loss": 0.23706, "time": 0.52866} +{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.1686, "decode.acc_seg": 74.84895, "aux.loss_seg": 0.09631, "aux.acc_seg": 72.96246, "loss": 0.26491, "time": 0.51804} +{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16173, "decode.acc_seg": 76.32202, "aux.loss_seg": 0.09525, "aux.acc_seg": 74.29619, "loss": 0.25698, "time": 0.54404} +{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.15709, "decode.acc_seg": 75.37444, "aux.loss_seg": 0.0906, "aux.acc_seg": 73.55199, "loss": 0.2477, "time": 0.52488} +{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 22404, "data_time": 0.24617, "decode.loss_seg": 0.15474, "decode.acc_seg": 74.80106, "aux.loss_seg": 0.09111, "aux.acc_seg": 72.93437, "loss": 0.24585, "time": 0.74624} +{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.16028, "decode.acc_seg": 75.01711, "aux.loss_seg": 0.0926, "aux.acc_seg": 73.25685, "loss": 0.25288, "time": 0.50957} +{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15759, "decode.acc_seg": 74.56505, "aux.loss_seg": 0.09269, "aux.acc_seg": 72.63809, "loss": 0.25028, "time": 0.51033} +{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.1583, "decode.acc_seg": 75.47223, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.65475, "loss": 0.24979, "time": 0.53317} +{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.1635, "decode.acc_seg": 75.58736, "aux.loss_seg": 0.09411, "aux.acc_seg": 73.76314, "loss": 0.25761, "time": 0.52888} +{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.16733, "decode.acc_seg": 74.65712, "aux.loss_seg": 0.09782, "aux.acc_seg": 72.63342, "loss": 0.26516, "time": 0.51455} +{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.15437, "decode.acc_seg": 75.4339, "aux.loss_seg": 0.09011, "aux.acc_seg": 73.52453, "loss": 0.24448, "time": 0.52529} +{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.15103, "decode.acc_seg": 75.18655, "aux.loss_seg": 0.08894, "aux.acc_seg": 73.17165, "loss": 0.23996, "time": 0.52053} +{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15759, "decode.acc_seg": 74.97329, "aux.loss_seg": 0.09172, "aux.acc_seg": 73.10876, "loss": 0.24931, "time": 0.51541} +{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.14897, "decode.acc_seg": 74.62852, "aux.loss_seg": 0.08689, "aux.acc_seg": 72.83986, "loss": 0.23586, "time": 0.51949} +{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.16436, "decode.acc_seg": 75.85131, "aux.loss_seg": 0.09399, "aux.acc_seg": 73.9471, "loss": 0.25835, "time": 0.51153} +{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.15457, "decode.acc_seg": 74.70946, "aux.loss_seg": 0.08972, "aux.acc_seg": 72.78786, "loss": 0.24429, "time": 0.51346} +{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.15089, "decode.acc_seg": 75.68771, "aux.loss_seg": 0.08535, "aux.acc_seg": 74.0606, "loss": 0.23625, "time": 0.51268} +{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15018, "decode.acc_seg": 75.32982, "aux.loss_seg": 0.08799, "aux.acc_seg": 73.5015, "loss": 0.23817, "time": 0.51029} +{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.15328, "decode.acc_seg": 76.47269, "aux.loss_seg": 0.08901, "aux.acc_seg": 74.66565, "loss": 0.24228, "time": 0.50689} +{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.15709, "decode.acc_seg": 75.34266, "aux.loss_seg": 0.09076, "aux.acc_seg": 73.45965, "loss": 0.24784, "time": 0.52611} +{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.15854, "decode.acc_seg": 73.90937, "aux.loss_seg": 0.09401, "aux.acc_seg": 71.89209, "loss": 0.25255, "time": 0.51432} +{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.15524, "decode.acc_seg": 75.90866, "aux.loss_seg": 0.08981, "aux.acc_seg": 74.01048, "loss": 0.24505, "time": 0.53417} +{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.15272, "decode.acc_seg": 75.0173, "aux.loss_seg": 0.08874, "aux.acc_seg": 73.14248, "loss": 0.24145, "time": 0.5268} +{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.15806, "decode.acc_seg": 75.41346, "aux.loss_seg": 0.09466, "aux.acc_seg": 73.30967, "loss": 0.25272, "time": 0.53196} +{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.1545, "decode.acc_seg": 74.92211, "aux.loss_seg": 0.08729, "aux.acc_seg": 73.26693, "loss": 0.24179, "time": 0.55689} +{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.15659, "decode.acc_seg": 74.59635, "aux.loss_seg": 0.09037, "aux.acc_seg": 72.70511, "loss": 0.24697, "time": 0.51519} +{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.15958, "decode.acc_seg": 75.38451, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.50021, "loss": 0.25083, "time": 0.51529} +{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.15031, "decode.acc_seg": 75.25709, "aux.loss_seg": 0.08637, "aux.acc_seg": 73.48702, "loss": 0.23668, "time": 0.52389} +{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18061, "decode.acc_seg": 75.11144, "aux.loss_seg": 0.10107, "aux.acc_seg": 73.16964, "loss": 0.28168, "time": 0.51053} +{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 22404, "data_time": 0.24459, "decode.loss_seg": 0.15641, "decode.acc_seg": 76.14726, "aux.loss_seg": 0.09158, "aux.acc_seg": 74.25694, "loss": 0.24799, "time": 0.74525} +{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.1615, "decode.acc_seg": 76.44284, "aux.loss_seg": 0.093, "aux.acc_seg": 74.56007, "loss": 0.2545, "time": 0.51246} +{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.15337, "decode.acc_seg": 74.7515, "aux.loss_seg": 0.09028, "aux.acc_seg": 72.74388, "loss": 0.24366, "time": 0.50728} +{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16337, "decode.acc_seg": 74.14998, "aux.loss_seg": 0.09559, "aux.acc_seg": 72.12529, "loss": 0.25896, "time": 0.51529} +{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.15335, "decode.acc_seg": 75.68729, "aux.loss_seg": 0.08961, "aux.acc_seg": 73.79005, "loss": 0.24295, "time": 0.51674} +{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15766, "decode.acc_seg": 75.66365, "aux.loss_seg": 0.09093, "aux.acc_seg": 73.87091, "loss": 0.24859, "time": 0.5259} +{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.15584, "decode.acc_seg": 75.49026, "aux.loss_seg": 0.09124, "aux.acc_seg": 73.58183, "loss": 0.24708, "time": 0.53985} +{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 22404, "data_time": 0.00826, "decode.loss_seg": 0.16304, "decode.acc_seg": 76.07488, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.18217, "loss": 0.25783, "time": 0.54019} +{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.15866, "decode.acc_seg": 74.44847, "aux.loss_seg": 0.09175, "aux.acc_seg": 72.56454, "loss": 0.25042, "time": 0.5138} +{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.15097, "decode.acc_seg": 75.06301, "aux.loss_seg": 0.08624, "aux.acc_seg": 73.26306, "loss": 0.23721, "time": 0.51266} +{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.14799, "decode.acc_seg": 74.37206, "aux.loss_seg": 0.08504, "aux.acc_seg": 72.73509, "loss": 0.23303, "time": 0.51007} +{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.15578, "decode.acc_seg": 76.18485, "aux.loss_seg": 0.08879, "aux.acc_seg": 74.37809, "loss": 0.24457, "time": 0.51071} +{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16047, "decode.acc_seg": 74.62639, "aux.loss_seg": 0.09333, "aux.acc_seg": 72.73214, "loss": 0.2538, "time": 0.51212} +{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16085, "decode.acc_seg": 76.68815, "aux.loss_seg": 0.09128, "aux.acc_seg": 74.91951, "loss": 0.25212, "time": 0.52567} +{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.15497, "decode.acc_seg": 76.1227, "aux.loss_seg": 0.09138, "aux.acc_seg": 74.26785, "loss": 0.24635, "time": 0.5212} +{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.16099, "decode.acc_seg": 75.37963, "aux.loss_seg": 0.09224, "aux.acc_seg": 73.54006, "loss": 0.25323, "time": 0.54196} +{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.15604, "decode.acc_seg": 74.715, "aux.loss_seg": 0.09056, "aux.acc_seg": 72.83797, "loss": 0.24661, "time": 0.54083} +{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.15139, "decode.acc_seg": 75.17825, "aux.loss_seg": 0.08896, "aux.acc_seg": 73.45107, "loss": 0.24035, "time": 0.54378} +{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.15571, "decode.acc_seg": 75.57506, "aux.loss_seg": 0.09054, "aux.acc_seg": 73.72865, "loss": 0.24625, "time": 0.52955} +{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.15781, "decode.acc_seg": 73.76964, "aux.loss_seg": 0.09061, "aux.acc_seg": 71.89348, "loss": 0.24842, "time": 0.51667} +{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.15692, "decode.acc_seg": 75.17279, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.34389, "loss": 0.24732, "time": 0.51104} +{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16262, "decode.acc_seg": 76.25418, "aux.loss_seg": 0.09389, "aux.acc_seg": 74.38659, "loss": 0.25651, "time": 0.50969} +{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.15582, "decode.acc_seg": 74.29977, "aux.loss_seg": 0.09097, "aux.acc_seg": 72.3884, "loss": 0.24678, "time": 0.51201} +{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.15498, "decode.acc_seg": 73.7446, "aux.loss_seg": 0.08878, "aux.acc_seg": 71.96191, "loss": 0.24376, "time": 0.52826} +{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.15423, "decode.acc_seg": 75.47913, "aux.loss_seg": 0.09003, "aux.acc_seg": 73.59666, "loss": 0.24425, "time": 0.52194} +{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 22404, "data_time": 0.24709, "decode.loss_seg": 0.15948, "decode.acc_seg": 75.59663, "aux.loss_seg": 0.09527, "aux.acc_seg": 73.51784, "loss": 0.25475, "time": 0.75588} +{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16117, "decode.acc_seg": 74.8952, "aux.loss_seg": 0.09103, "aux.acc_seg": 73.06858, "loss": 0.2522, "time": 0.5116} +{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.15704, "decode.acc_seg": 74.9318, "aux.loss_seg": 0.09122, "aux.acc_seg": 73.11569, "loss": 0.24826, "time": 0.51202} +{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.14935, "decode.acc_seg": 74.16374, "aux.loss_seg": 0.08696, "aux.acc_seg": 72.28884, "loss": 0.23631, "time": 0.51349} +{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16185, "decode.acc_seg": 76.10915, "aux.loss_seg": 0.0934, "aux.acc_seg": 74.18891, "loss": 0.25524, "time": 0.51553} +{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.15455, "decode.acc_seg": 75.49632, "aux.loss_seg": 0.08819, "aux.acc_seg": 73.73085, "loss": 0.24274, "time": 0.51295} +{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16609, "decode.acc_seg": 76.03999, "aux.loss_seg": 0.09447, "aux.acc_seg": 74.16444, "loss": 0.26056, "time": 0.51184} +{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.15697, "decode.acc_seg": 74.73711, "aux.loss_seg": 0.08966, "aux.acc_seg": 72.92729, "loss": 0.24663, "time": 0.5103} +{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16253, "decode.acc_seg": 74.82583, "aux.loss_seg": 0.09318, "aux.acc_seg": 72.97533, "loss": 0.25571, "time": 0.51109} +{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.15739, "decode.acc_seg": 76.08133, "aux.loss_seg": 0.09049, "aux.acc_seg": 74.29876, "loss": 0.24787, "time": 0.51267} +{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.15493, "decode.acc_seg": 76.50262, "aux.loss_seg": 0.08947, "aux.acc_seg": 74.72087, "loss": 0.24441, "time": 0.52889} +{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15496, "decode.acc_seg": 75.31735, "aux.loss_seg": 0.08937, "aux.acc_seg": 73.52535, "loss": 0.24433, "time": 0.50713} +{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15807, "decode.acc_seg": 74.8575, "aux.loss_seg": 0.09213, "aux.acc_seg": 72.95547, "loss": 0.2502, "time": 0.54024} +{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.15851, "decode.acc_seg": 75.45602, "aux.loss_seg": 0.0902, "aux.acc_seg": 73.66458, "loss": 0.24871, "time": 0.53464} +{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.15547, "decode.acc_seg": 74.81145, "aux.loss_seg": 0.09259, "aux.acc_seg": 72.85133, "loss": 0.24806, "time": 0.514} +{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.15875, "decode.acc_seg": 75.39952, "aux.loss_seg": 0.0933, "aux.acc_seg": 73.487, "loss": 0.25205, "time": 0.52116} +{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.16022, "decode.acc_seg": 76.37397, "aux.loss_seg": 0.09227, "aux.acc_seg": 74.45998, "loss": 0.25249, "time": 0.54114} +{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4778, "mAcc": 0.5972, "aAcc": 0.8248, "IoU.wall": 0.7637, "IoU.building": 0.81, "IoU.sky": 0.9381, "IoU.floor": 0.81, "IoU.tree": 0.7394, "IoU.ceiling": 0.8374, "IoU.road": 0.8427, "IoU.bed ": 0.8838, "IoU.windowpane": 0.6062, "IoU.grass": 0.6562, "IoU.cabinet": 0.5985, "IoU.sidewalk": 0.6618, "IoU.person": 0.7792, "IoU.earth": 0.3633, "IoU.door": 0.4815, "IoU.table": 0.5584, "IoU.mountain": 0.5684, "IoU.plant": 0.525, "IoU.curtain": 0.7144, "IoU.chair": 0.5518, "IoU.car": 0.8353, "IoU.water": 0.5305, "IoU.painting": 0.7113, "IoU.sofa": 0.6105, "IoU.shelf": 0.4342, "IoU.house": 0.4528, "IoU.sea": 0.5966, "IoU.mirror": 0.67, "IoU.rug": 0.5755, "IoU.field": 0.309, "IoU.armchair": 0.388, "IoU.seat": 0.6303, "IoU.fence": 0.4702, "IoU.desk": 0.4686, "IoU.rock": 0.4182, "IoU.wardrobe": 0.4994, "IoU.lamp": 0.5994, "IoU.bathtub": 0.7648, "IoU.railing": 0.3308, "IoU.cushion": 0.5361, "IoU.base": 0.3107, "IoU.box": 0.277, "IoU.column": 0.4043, "IoU.signboard": 0.3667, "IoU.chest of drawers": 0.4011, "IoU.counter": 0.3031, "IoU.sand": 0.5418, "IoU.sink": 0.7015, "IoU.skyscraper": 0.6317, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7496, "IoU.grandstand": 0.4219, "IoU.path": 0.2179, "IoU.stairs": 0.3228, "IoU.runway": 0.6973, "IoU.case": 0.4692, "IoU.pool table": 0.9155, "IoU.pillow": 0.5419, "IoU.screen door": 0.7221, "IoU.stairway": 0.3325, "IoU.river": 0.1678, "IoU.bridge": 0.6709, "IoU.bookcase": 0.4325, "IoU.blind": NaN, "IoU.coffee table": 0.5074, "IoU.toilet": 0.8299, "IoU.flower": 0.417, "IoU.book": 0.4413, "IoU.hill": 0.0581, "IoU.bench": 0.5318, "IoU.countertop": 0.505, "IoU.stove": 0.7067, "IoU.palm": 0.4826, "IoU.kitchen island": 0.3233, "IoU.computer": 0.7155, "IoU.swivel chair": 0.4546, "IoU.boat": 0.3924, "IoU.bar": 0.2332, "IoU.arcade machine": 0.5677, "IoU.hovel": 0.373, "IoU.bus": 0.8578, "IoU.towel": 0.5866, "IoU.light": 0.5234, "IoU.truck": 0.3531, "IoU.tower": 0.079, "IoU.chandelier": 0.6332, "IoU.awning": 0.2678, "IoU.streetlight": 0.2149, "IoU.booth": 0.5693, "IoU.television receiver": NaN, "IoU.airplane": 0.6225, "IoU.dirt track": 0.2443, "IoU.apparel": 0.2577, "IoU.pole": 0.1592, "IoU.land": 0.0434, "IoU.bannister": 0.1079, "IoU.escalator": 0.395, "IoU.ottoman": 0.3927, "IoU.bottle": NaN, "IoU.buffet": 0.3927, "IoU.poster": 0.2965, "IoU.stage": 0.1741, "IoU.van": 0.4166, "IoU.ship": 0.5952, "IoU.fountain": 0.2079, "IoU.conveyer belt": 0.7529, "IoU.canopy": 0.0943, "IoU.washer": 0.7808, "IoU.plaything": 0.2265, "IoU.swimming pool": 0.5763, "IoU.stool": 0.4093, "IoU.barrel": 0.5321, "IoU.basket": 0.3077, "IoU.waterfall": 0.524, "IoU.tent": 0.9297, "IoU.bag": 0.118, "IoU.minibike": 0.7491, "IoU.cradle": NaN, "IoU.oven": 0.4754, "IoU.ball": 0.4011, "IoU.food": 0.3349, "IoU.step": 0.0748, "IoU.tank": 0.5051, "IoU.trade name": 0.2827, "IoU.microwave": 0.691, "IoU.pot": 0.4972, "IoU.animal": NaN, "IoU.bicycle": 0.5401, "IoU.lake": 0.6191, "IoU.dishwasher": 0.528, "IoU.screen": 0.6365, "IoU.blanket": 0.1446, "IoU.sculpture": 0.5419, "IoU.hood": 0.5977, "IoU.sconce": 0.4425, "IoU.vase": 0.356, "IoU.traffic light": 0.2985, "IoU.tray": 0.0862, "IoU.ashcan": 0.4083, "IoU.fan": 0.5668, "IoU.pier": 0.3063, "IoU.crt screen": 0.0428, "IoU.plate": 0.5276, "IoU.monitor": 0.0302, "IoU.bulletin board": 0.3404, "IoU.shower": 0.039, "IoU.radiator": 0.5488, "IoU.glass": 0.1247, "IoU.clock": 0.3567, "IoU.flag": 0.4039, "Acc.wall": 0.875, "Acc.building": 0.9138, "Acc.sky": 0.9709, "Acc.floor": 0.9007, "Acc.tree": 0.8726, "Acc.ceiling": 0.9259, "Acc.road": 0.9095, "Acc.bed ": 0.9521, "Acc.windowpane": 0.782, "Acc.grass": 0.8318, "Acc.cabinet": 0.7399, "Acc.sidewalk": 0.8183, "Acc.person": 0.9098, "Acc.earth": 0.4855, "Acc.door": 0.6263, "Acc.table": 0.745, "Acc.mountain": 0.7487, "Acc.plant": 0.6373, "Acc.curtain": 0.8321, "Acc.chair": 0.7035, "Acc.car": 0.9145, "Acc.water": 0.6721, "Acc.painting": 0.8518, "Acc.sofa": 0.7834, "Acc.shelf": 0.576, "Acc.house": 0.5757, "Acc.sea": 0.8799, "Acc.mirror": 0.7614, "Acc.rug": 0.6878, "Acc.field": 0.4739, "Acc.armchair": 0.566, "Acc.seat": 0.83, "Acc.fence": 0.6477, "Acc.desk": 0.6464, "Acc.rock": 0.6689, "Acc.wardrobe": 0.6289, "Acc.lamp": 0.7276, "Acc.bathtub": 0.823, "Acc.railing": 0.4561, "Acc.cushion": 0.6902, "Acc.base": 0.4332, "Acc.box": 0.342, "Acc.column": 0.5258, "Acc.signboard": 0.5048, "Acc.chest of drawers": 0.57, "Acc.counter": 0.3864, "Acc.sand": 0.7327, "Acc.sink": 0.7828, "Acc.skyscraper": 0.8014, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8543, "Acc.grandstand": 0.6426, "Acc.path": 0.3022, "Acc.stairs": 0.3994, "Acc.runway": 0.9162, "Acc.case": 0.6177, "Acc.pool table": 0.9629, "Acc.pillow": 0.6546, "Acc.screen door": 0.7926, "Acc.stairway": 0.387, "Acc.river": 0.2932, "Acc.bridge": 0.8233, "Acc.bookcase": 0.5123, "Acc.blind": NaN, "Acc.coffee table": 0.7941, "Acc.toilet": 0.8891, "Acc.flower": 0.5939, "Acc.book": 0.6466, "Acc.hill": 0.0753, "Acc.bench": 0.6225, "Acc.countertop": 0.7096, "Acc.stove": 0.8032, "Acc.palm": 0.7159, "Acc.kitchen island": 0.6467, "Acc.computer": 0.8594, "Acc.swivel chair": 0.6675, "Acc.boat": 0.4788, "Acc.bar": 0.308, "Acc.arcade machine": 0.6023, "Acc.hovel": 0.4198, "Acc.bus": 0.956, "Acc.towel": 0.7139, "Acc.light": 0.597, "Acc.truck": 0.4817, "Acc.tower": 0.1318, "Acc.chandelier": 0.8145, "Acc.awning": 0.3414, "Acc.streetlight": 0.2868, "Acc.booth": 0.6778, "Acc.television receiver": NaN, "Acc.airplane": 0.7223, "Acc.dirt track": 0.3826, "Acc.apparel": 0.3882, "Acc.pole": 0.2137, "Acc.land": 0.0655, "Acc.bannister": 0.14, "Acc.escalator": 0.51, "Acc.ottoman": 0.5469, "Acc.bottle": NaN, "Acc.buffet": 0.4344, "Acc.poster": 0.441, "Acc.stage": 0.2581, "Acc.van": 0.5835, "Acc.ship": 0.901, "Acc.fountain": 0.211, "Acc.conveyer belt": 0.8553, "Acc.canopy": 0.1439, "Acc.washer": 0.8075, "Acc.plaything": 0.3431, "Acc.swimming pool": 0.8362, "Acc.stool": 0.4907, "Acc.barrel": 0.7189, "Acc.basket": 0.3909, "Acc.waterfall": 0.6231, "Acc.tent": 0.9868, "Acc.bag": 0.14, "Acc.minibike": 0.8706, "Acc.cradle": NaN, "Acc.oven": 0.5667, "Acc.ball": 0.4731, "Acc.food": 0.3832, "Acc.step": 0.0824, "Acc.tank": 0.594, "Acc.trade name": 0.354, "Acc.microwave": 0.7847, "Acc.pot": 0.5563, "Acc.animal": NaN, "Acc.bicycle": 0.77, "Acc.lake": 0.627, "Acc.dishwasher": 0.6884, "Acc.screen": 0.8794, "Acc.blanket": 0.1714, "Acc.sculpture": 0.7816, "Acc.hood": 0.6557, "Acc.sconce": 0.5565, "Acc.vase": 0.5218, "Acc.traffic light": 0.4515, "Acc.tray": 0.159, "Acc.ashcan": 0.538, "Acc.fan": 0.7302, "Acc.pier": 0.4826, "Acc.crt screen": 0.1136, "Acc.plate": 0.701, "Acc.monitor": 0.0338, "Acc.bulletin board": 0.5243, "Acc.shower": 0.0498, "Acc.radiator": 0.6233, "Acc.glass": 0.1356, "Acc.clock": 0.4314, "Acc.flag": 0.4614} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt new file mode 100644 index 000000000..11351a0de --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt @@ -0,0 +1,3201 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.10 (default, Feb 26 2021, 18:47:35) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 10.0, V10.0.130\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.1\nOpenCV: 4.5.1\nMMCV: 1.2.7\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+21c6ed5", "seed": null, "exp_name": "upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 15340, "data_time": 0.00999, "decode.loss_seg": 3.98622, "decode.acc_seg": 0.62966, "aux.loss_seg": 1.59154, "aux.acc_seg": 0.69883, "loss": 5.57776, "time": 0.77956} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 15340, "data_time": 0.00822, "decode.loss_seg": 4.00528, "decode.acc_seg": 5.76839, "aux.loss_seg": 1.62562, "aux.acc_seg": 1.41262, "loss": 5.6309, "time": 0.69269} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 15340, "data_time": 0.00837, "decode.loss_seg": 3.79363, "decode.acc_seg": 27.30092, "aux.loss_seg": 1.61355, "aux.acc_seg": 5.41903, "loss": 5.40718, "time": 0.68136} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 15340, "data_time": 0.0089, "decode.loss_seg": 3.32926, "decode.acc_seg": 36.30476, "aux.loss_seg": 1.56368, "aux.acc_seg": 20.04741, "loss": 4.89293, "time": 0.67146} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 15340, "data_time": 0.00839, "decode.loss_seg": 2.93106, "decode.acc_seg": 40.89876, "aux.loss_seg": 1.50465, "aux.acc_seg": 35.26796, "loss": 4.43571, "time": 0.67259} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 15340, "data_time": 0.00932, "decode.loss_seg": 2.69229, "decode.acc_seg": 42.5608, "aux.loss_seg": 1.43154, "aux.acc_seg": 38.11164, "loss": 4.12383, "time": 0.68319} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 2.47744, "decode.acc_seg": 45.40031, "aux.loss_seg": 1.3527, "aux.acc_seg": 40.38183, "loss": 3.83014, "time": 0.67958} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 15340, "data_time": 0.00906, "decode.loss_seg": 2.25961, "decode.acc_seg": 46.08815, "aux.loss_seg": 1.26168, "aux.acc_seg": 40.58775, "loss": 3.52129, "time": 0.67204} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 15340, "data_time": 0.00804, "decode.loss_seg": 2.21642, "decode.acc_seg": 46.24918, "aux.loss_seg": 1.23469, "aux.acc_seg": 41.01916, "loss": 3.45111, "time": 0.63557} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 15340, "data_time": 0.00907, "decode.loss_seg": 2.09847, "decode.acc_seg": 47.21936, "aux.loss_seg": 1.19076, "aux.acc_seg": 42.67682, "loss": 3.28923, "time": 0.6821} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 15340, "data_time": 0.00876, "decode.loss_seg": 1.93765, "decode.acc_seg": 49.5588, "aux.loss_seg": 1.1323, "aux.acc_seg": 44.31339, "loss": 3.06995, "time": 0.68029} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 1.87121, "decode.acc_seg": 48.40321, "aux.loss_seg": 1.07733, "aux.acc_seg": 43.60153, "loss": 2.94854, "time": 0.66274} +{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 15340, "data_time": 0.00933, "decode.loss_seg": 1.71065, "decode.acc_seg": 48.09027, "aux.loss_seg": 0.99938, "aux.acc_seg": 43.60332, "loss": 2.71003, "time": 0.65355} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 15340, "data_time": 0.00873, "decode.loss_seg": 1.7421, "decode.acc_seg": 49.6512, "aux.loss_seg": 1.01853, "aux.acc_seg": 45.01955, "loss": 2.76063, "time": 0.656} +{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 15340, "data_time": 0.00887, "decode.loss_seg": 1.56228, "decode.acc_seg": 51.74235, "aux.loss_seg": 0.94432, "aux.acc_seg": 46.47245, "loss": 2.5066, "time": 0.68249} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 15340, "data_time": 0.00803, "decode.loss_seg": 1.57665, "decode.acc_seg": 50.0841, "aux.loss_seg": 0.91994, "aux.acc_seg": 45.27494, "loss": 2.49659, "time": 0.68053} +{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 15340, "data_time": 0.0094, "decode.loss_seg": 1.48815, "decode.acc_seg": 51.92739, "aux.loss_seg": 0.87156, "aux.acc_seg": 47.24831, "loss": 2.35971, "time": 0.66826} +{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 15340, "data_time": 0.00937, "decode.loss_seg": 1.49642, "decode.acc_seg": 52.03354, "aux.loss_seg": 0.86152, "aux.acc_seg": 47.36787, "loss": 2.35794, "time": 0.66633} +{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 1.38577, "decode.acc_seg": 51.94003, "aux.loss_seg": 0.79732, "aux.acc_seg": 46.98684, "loss": 2.18309, "time": 0.66973} +{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 15340, "data_time": 0.00934, "decode.loss_seg": 1.35247, "decode.acc_seg": 52.9551, "aux.loss_seg": 0.76593, "aux.acc_seg": 48.5, "loss": 2.11841, "time": 0.64316} +{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 15340, "data_time": 0.00795, "decode.loss_seg": 1.35767, "decode.acc_seg": 50.00004, "aux.loss_seg": 0.73997, "aux.acc_seg": 45.96726, "loss": 2.09764, "time": 0.66616} +{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 15340, "data_time": 0.00828, "decode.loss_seg": 1.32435, "decode.acc_seg": 53.37805, "aux.loss_seg": 0.72741, "aux.acc_seg": 48.38759, "loss": 2.05176, "time": 0.64275} +{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 15340, "data_time": 0.00892, "decode.loss_seg": 1.30291, "decode.acc_seg": 51.97504, "aux.loss_seg": 0.69974, "aux.acc_seg": 47.11564, "loss": 2.00265, "time": 0.67689} +{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 15340, "data_time": 0.00896, "decode.loss_seg": 1.27033, "decode.acc_seg": 54.10222, "aux.loss_seg": 0.68617, "aux.acc_seg": 49.1924, "loss": 1.9565, "time": 0.67515} +{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 15340, "data_time": 0.00828, "decode.loss_seg": 1.20734, "decode.acc_seg": 52.65833, "aux.loss_seg": 0.64154, "aux.acc_seg": 48.52767, "loss": 1.84888, "time": 0.6473} +{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 15340, "data_time": 0.21012, "decode.loss_seg": 1.2149, "decode.acc_seg": 51.83027, "aux.loss_seg": 0.62827, "aux.acc_seg": 48.22517, "loss": 1.84317, "time": 0.86019} +{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 15340, "data_time": 0.00826, "decode.loss_seg": 1.15658, "decode.acc_seg": 54.74496, "aux.loss_seg": 0.60932, "aux.acc_seg": 50.72793, "loss": 1.7659, "time": 0.65887} +{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 15340, "data_time": 0.00799, "decode.loss_seg": 1.13091, "decode.acc_seg": 53.77716, "aux.loss_seg": 0.58498, "aux.acc_seg": 50.64105, "loss": 1.71589, "time": 0.6451} +{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 15340, "data_time": 0.00814, "decode.loss_seg": 1.10768, "decode.acc_seg": 54.39557, "aux.loss_seg": 0.57185, "aux.acc_seg": 51.4573, "loss": 1.67952, "time": 0.64685} +{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 15340, "data_time": 0.00815, "decode.loss_seg": 1.13438, "decode.acc_seg": 53.88177, "aux.loss_seg": 0.57786, "aux.acc_seg": 51.16059, "loss": 1.71224, "time": 0.66396} +{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 15340, "data_time": 0.00984, "decode.loss_seg": 1.14491, "decode.acc_seg": 53.76347, "aux.loss_seg": 0.57259, "aux.acc_seg": 51.18615, "loss": 1.7175, "time": 0.68273} +{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 15340, "data_time": 0.00809, "decode.loss_seg": 1.12552, "decode.acc_seg": 54.286, "aux.loss_seg": 0.56866, "aux.acc_seg": 51.00421, "loss": 1.69418, "time": 0.67861} +{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 15340, "data_time": 0.00874, "decode.loss_seg": 1.08103, "decode.acc_seg": 53.97187, "aux.loss_seg": 0.53726, "aux.acc_seg": 51.35629, "loss": 1.61829, "time": 0.67035} +{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 15340, "data_time": 0.00919, "decode.loss_seg": 1.12266, "decode.acc_seg": 54.32742, "aux.loss_seg": 0.55919, "aux.acc_seg": 51.81421, "loss": 1.68185, "time": 0.67798} +{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 15340, "data_time": 0.00786, "decode.loss_seg": 1.07519, "decode.acc_seg": 54.77669, "aux.loss_seg": 0.53556, "aux.acc_seg": 51.87604, "loss": 1.61075, "time": 0.65239} +{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 15340, "data_time": 0.00867, "decode.loss_seg": 1.04135, "decode.acc_seg": 55.79272, "aux.loss_seg": 0.5216, "aux.acc_seg": 52.47461, "loss": 1.56294, "time": 0.67657} +{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 15340, "data_time": 0.00899, "decode.loss_seg": 1.038, "decode.acc_seg": 55.91149, "aux.loss_seg": 0.51554, "aux.acc_seg": 53.46777, "loss": 1.55354, "time": 0.6765} +{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 15340, "data_time": 0.00883, "decode.loss_seg": 1.00182, "decode.acc_seg": 55.63459, "aux.loss_seg": 0.49611, "aux.acc_seg": 52.86976, "loss": 1.49794, "time": 0.67899} +{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 15340, "data_time": 0.00779, "decode.loss_seg": 1.00108, "decode.acc_seg": 55.49559, "aux.loss_seg": 0.50045, "aux.acc_seg": 52.28869, "loss": 1.50153, "time": 0.66405} +{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 15340, "data_time": 0.00797, "decode.loss_seg": 0.97755, "decode.acc_seg": 56.57738, "aux.loss_seg": 0.48855, "aux.acc_seg": 53.60396, "loss": 1.46611, "time": 0.68821} +{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 15340, "data_time": 0.00884, "decode.loss_seg": 1.00383, "decode.acc_seg": 56.69913, "aux.loss_seg": 0.49645, "aux.acc_seg": 53.83939, "loss": 1.50029, "time": 0.68788} +{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 1.0344, "decode.acc_seg": 53.33398, "aux.loss_seg": 0.49653, "aux.acc_seg": 51.27149, "loss": 1.53093, "time": 0.66236} +{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 15340, "data_time": 0.00814, "decode.loss_seg": 1.02418, "decode.acc_seg": 55.92262, "aux.loss_seg": 0.50114, "aux.acc_seg": 53.14512, "loss": 1.52533, "time": 0.63849} +{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 15340, "data_time": 0.00794, "decode.loss_seg": 0.94578, "decode.acc_seg": 57.15318, "aux.loss_seg": 0.47062, "aux.acc_seg": 54.31739, "loss": 1.41641, "time": 0.64762} +{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 15340, "data_time": 0.00775, "decode.loss_seg": 0.9491, "decode.acc_seg": 57.24715, "aux.loss_seg": 0.47292, "aux.acc_seg": 54.48653, "loss": 1.42202, "time": 0.66361} +{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 1.00777, "decode.acc_seg": 55.95613, "aux.loss_seg": 0.49482, "aux.acc_seg": 53.0932, "loss": 1.50258, "time": 0.68875} +{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 15340, "data_time": 0.00872, "decode.loss_seg": 0.93912, "decode.acc_seg": 57.45174, "aux.loss_seg": 0.45589, "aux.acc_seg": 55.22475, "loss": 1.39501, "time": 0.67006} +{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 15340, "data_time": 0.00881, "decode.loss_seg": 0.93087, "decode.acc_seg": 55.40987, "aux.loss_seg": 0.45648, "aux.acc_seg": 52.9523, "loss": 1.38734, "time": 0.67073} +{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.92285, "decode.acc_seg": 55.37768, "aux.loss_seg": 0.45743, "aux.acc_seg": 52.29159, "loss": 1.38028, "time": 0.66502} +{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 15340, "data_time": 0.00838, "decode.loss_seg": 0.88871, "decode.acc_seg": 57.57222, "aux.loss_seg": 0.43797, "aux.acc_seg": 54.72649, "loss": 1.32667, "time": 0.65764} +{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 15340, "data_time": 0.22262, "decode.loss_seg": 0.85481, "decode.acc_seg": 58.39807, "aux.loss_seg": 0.42786, "aux.acc_seg": 55.28158, "loss": 1.28267, "time": 0.90792} +{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 15340, "data_time": 0.00935, "decode.loss_seg": 0.87099, "decode.acc_seg": 57.73446, "aux.loss_seg": 0.42608, "aux.acc_seg": 54.9523, "loss": 1.29707, "time": 0.66523} +{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 15340, "data_time": 0.00797, "decode.loss_seg": 0.87107, "decode.acc_seg": 57.86258, "aux.loss_seg": 0.42404, "aux.acc_seg": 55.33634, "loss": 1.29511, "time": 0.66452} +{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 15340, "data_time": 0.00801, "decode.loss_seg": 0.81276, "decode.acc_seg": 58.09025, "aux.loss_seg": 0.40681, "aux.acc_seg": 55.25547, "loss": 1.21956, "time": 0.66949} +{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 15340, "data_time": 0.00874, "decode.loss_seg": 0.87072, "decode.acc_seg": 57.81627, "aux.loss_seg": 0.43593, "aux.acc_seg": 54.46702, "loss": 1.30665, "time": 0.68181} +{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.84523, "decode.acc_seg": 59.05859, "aux.loss_seg": 0.41479, "aux.acc_seg": 56.75603, "loss": 1.26002, "time": 0.67042} +{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 15340, "data_time": 0.00913, "decode.loss_seg": 0.83284, "decode.acc_seg": 59.13086, "aux.loss_seg": 0.41334, "aux.acc_seg": 56.55189, "loss": 1.24617, "time": 0.65972} +{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 15340, "data_time": 0.00809, "decode.loss_seg": 0.8514, "decode.acc_seg": 59.33262, "aux.loss_seg": 0.41948, "aux.acc_seg": 56.52024, "loss": 1.27088, "time": 0.63091} +{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 15340, "data_time": 0.00796, "decode.loss_seg": 0.81593, "decode.acc_seg": 59.79257, "aux.loss_seg": 0.40301, "aux.acc_seg": 57.11899, "loss": 1.21895, "time": 0.67416} +{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 15340, "data_time": 0.00819, "decode.loss_seg": 0.78125, "decode.acc_seg": 57.96421, "aux.loss_seg": 0.38717, "aux.acc_seg": 55.02788, "loss": 1.16842, "time": 0.64077} +{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 15340, "data_time": 0.00827, "decode.loss_seg": 0.82822, "decode.acc_seg": 59.78132, "aux.loss_seg": 0.40894, "aux.acc_seg": 56.98488, "loss": 1.23716, "time": 0.67533} +{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.83944, "decode.acc_seg": 59.3422, "aux.loss_seg": 0.40145, "aux.acc_seg": 57.22589, "loss": 1.24089, "time": 0.65697} +{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 15340, "data_time": 0.00872, "decode.loss_seg": 0.79767, "decode.acc_seg": 58.8611, "aux.loss_seg": 0.39133, "aux.acc_seg": 56.15521, "loss": 1.189, "time": 0.66367} +{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 15340, "data_time": 0.00894, "decode.loss_seg": 0.80296, "decode.acc_seg": 58.99148, "aux.loss_seg": 0.39614, "aux.acc_seg": 55.95937, "loss": 1.1991, "time": 0.66623} +{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.77188, "decode.acc_seg": 59.12035, "aux.loss_seg": 0.38056, "aux.acc_seg": 56.44095, "loss": 1.15244, "time": 0.64487} +{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 15340, "data_time": 0.00795, "decode.loss_seg": 0.79231, "decode.acc_seg": 58.0454, "aux.loss_seg": 0.38399, "aux.acc_seg": 55.50006, "loss": 1.17629, "time": 0.65645} +{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 15340, "data_time": 0.00868, "decode.loss_seg": 0.7886, "decode.acc_seg": 58.48596, "aux.loss_seg": 0.38246, "aux.acc_seg": 56.26638, "loss": 1.17106, "time": 0.67947} +{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 15340, "data_time": 0.00887, "decode.loss_seg": 0.80735, "decode.acc_seg": 58.85431, "aux.loss_seg": 0.39212, "aux.acc_seg": 56.5703, "loss": 1.19947, "time": 0.66266} +{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 15340, "data_time": 0.00887, "decode.loss_seg": 0.78854, "decode.acc_seg": 58.40874, "aux.loss_seg": 0.38585, "aux.acc_seg": 55.62229, "loss": 1.17439, "time": 0.66078} +{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 15340, "data_time": 0.00787, "decode.loss_seg": 0.76522, "decode.acc_seg": 59.82676, "aux.loss_seg": 0.37369, "aux.acc_seg": 57.42871, "loss": 1.13891, "time": 0.64482} +{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 15340, "data_time": 0.00864, "decode.loss_seg": 0.79172, "decode.acc_seg": 57.92094, "aux.loss_seg": 0.38332, "aux.acc_seg": 56.11143, "loss": 1.17503, "time": 0.65243} +{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 15340, "data_time": 0.00895, "decode.loss_seg": 0.8441, "decode.acc_seg": 58.22506, "aux.loss_seg": 0.39421, "aux.acc_seg": 56.35761, "loss": 1.23832, "time": 0.65946} +{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 15340, "data_time": 0.00823, "decode.loss_seg": 0.80956, "decode.acc_seg": 59.54061, "aux.loss_seg": 0.38675, "aux.acc_seg": 57.50208, "loss": 1.19631, "time": 0.65484} +{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 15340, "data_time": 0.0087, "decode.loss_seg": 0.79833, "decode.acc_seg": 59.05409, "aux.loss_seg": 0.38564, "aux.acc_seg": 56.40548, "loss": 1.18397, "time": 0.65101} +{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 15340, "data_time": 0.00833, "decode.loss_seg": 0.76993, "decode.acc_seg": 57.96328, "aux.loss_seg": 0.3715, "aux.acc_seg": 55.74193, "loss": 1.14143, "time": 0.67043} +{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 15340, "data_time": 0.22723, "decode.loss_seg": 0.77382, "decode.acc_seg": 59.54852, "aux.loss_seg": 0.37084, "aux.acc_seg": 57.0696, "loss": 1.14466, "time": 0.88215} +{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 15340, "data_time": 0.00967, "decode.loss_seg": 0.74542, "decode.acc_seg": 58.95235, "aux.loss_seg": 0.36105, "aux.acc_seg": 56.67957, "loss": 1.10647, "time": 0.65207} +{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 15340, "data_time": 0.00877, "decode.loss_seg": 0.75274, "decode.acc_seg": 60.24572, "aux.loss_seg": 0.36903, "aux.acc_seg": 57.59807, "loss": 1.12177, "time": 0.67274} +{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 15340, "data_time": 0.00973, "decode.loss_seg": 0.7335, "decode.acc_seg": 60.03848, "aux.loss_seg": 0.35604, "aux.acc_seg": 57.78983, "loss": 1.08954, "time": 0.67026} +{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 15340, "data_time": 0.0096, "decode.loss_seg": 0.72058, "decode.acc_seg": 61.68371, "aux.loss_seg": 0.35353, "aux.acc_seg": 59.22143, "loss": 1.07411, "time": 0.6871} +{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 15340, "data_time": 0.00965, "decode.loss_seg": 0.71123, "decode.acc_seg": 60.72875, "aux.loss_seg": 0.34577, "aux.acc_seg": 58.64281, "loss": 1.057, "time": 0.6532} +{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 15340, "data_time": 0.00997, "decode.loss_seg": 0.74398, "decode.acc_seg": 60.21224, "aux.loss_seg": 0.35584, "aux.acc_seg": 57.80461, "loss": 1.09982, "time": 0.65074} +{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 15340, "data_time": 0.00948, "decode.loss_seg": 0.75013, "decode.acc_seg": 58.519, "aux.loss_seg": 0.3545, "aux.acc_seg": 56.77056, "loss": 1.10463, "time": 0.66845} +{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 15340, "data_time": 0.00874, "decode.loss_seg": 0.7484, "decode.acc_seg": 58.73497, "aux.loss_seg": 0.35671, "aux.acc_seg": 56.74739, "loss": 1.10511, "time": 0.6601} +{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 15340, "data_time": 0.00939, "decode.loss_seg": 0.71078, "decode.acc_seg": 60.15521, "aux.loss_seg": 0.34006, "aux.acc_seg": 58.07485, "loss": 1.05084, "time": 0.66621} +{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 15340, "data_time": 0.00787, "decode.loss_seg": 0.73932, "decode.acc_seg": 59.768, "aux.loss_seg": 0.35717, "aux.acc_seg": 57.33962, "loss": 1.09649, "time": 0.66169} +{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 15340, "data_time": 0.00856, "decode.loss_seg": 0.73047, "decode.acc_seg": 60.14355, "aux.loss_seg": 0.3442, "aux.acc_seg": 58.11082, "loss": 1.07467, "time": 0.67406} +{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 15340, "data_time": 0.00773, "decode.loss_seg": 0.73993, "decode.acc_seg": 61.36922, "aux.loss_seg": 0.3537, "aux.acc_seg": 59.27689, "loss": 1.09363, "time": 0.64128} +{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 15340, "data_time": 0.00805, "decode.loss_seg": 0.71711, "decode.acc_seg": 60.7071, "aux.loss_seg": 0.33626, "aux.acc_seg": 58.437, "loss": 1.05337, "time": 0.6445} +{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.7426, "decode.acc_seg": 60.23343, "aux.loss_seg": 0.34758, "aux.acc_seg": 58.30056, "loss": 1.09019, "time": 0.66519} +{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 15340, "data_time": 0.00917, "decode.loss_seg": 0.76037, "decode.acc_seg": 60.43695, "aux.loss_seg": 0.35524, "aux.acc_seg": 58.48869, "loss": 1.11562, "time": 0.65765} +{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 15340, "data_time": 0.00866, "decode.loss_seg": 0.71388, "decode.acc_seg": 61.37046, "aux.loss_seg": 0.33733, "aux.acc_seg": 59.78307, "loss": 1.05122, "time": 0.6802} +{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.69689, "decode.acc_seg": 61.1365, "aux.loss_seg": 0.33389, "aux.acc_seg": 58.94129, "loss": 1.03078, "time": 0.65112} +{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 15340, "data_time": 0.00796, "decode.loss_seg": 0.69452, "decode.acc_seg": 60.57029, "aux.loss_seg": 0.32738, "aux.acc_seg": 59.01955, "loss": 1.0219, "time": 0.64431} +{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 15340, "data_time": 0.00855, "decode.loss_seg": 0.74796, "decode.acc_seg": 59.80887, "aux.loss_seg": 0.34783, "aux.acc_seg": 57.79701, "loss": 1.09579, "time": 0.65935} +{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 15340, "data_time": 0.00871, "decode.loss_seg": 0.67521, "decode.acc_seg": 61.29654, "aux.loss_seg": 0.31442, "aux.acc_seg": 59.72272, "loss": 0.98963, "time": 0.65982} +{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 15340, "data_time": 0.00777, "decode.loss_seg": 0.71827, "decode.acc_seg": 61.29319, "aux.loss_seg": 0.32964, "aux.acc_seg": 59.45012, "loss": 1.04791, "time": 0.65842} +{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.72165, "decode.acc_seg": 59.71952, "aux.loss_seg": 0.32984, "aux.acc_seg": 58.16429, "loss": 1.05149, "time": 0.66634} +{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.71519, "decode.acc_seg": 61.90166, "aux.loss_seg": 0.33112, "aux.acc_seg": 60.17421, "loss": 1.04631, "time": 0.68408} +{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 0.68897, "decode.acc_seg": 60.74441, "aux.loss_seg": 0.31518, "aux.acc_seg": 59.34353, "loss": 1.00415, "time": 0.6562} +{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.69417, "decode.acc_seg": 61.33818, "aux.loss_seg": 0.3277, "aux.acc_seg": 59.60849, "loss": 1.02186, "time": 0.66943} +{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 15340, "data_time": 0.21829, "decode.loss_seg": 0.65224, "decode.acc_seg": 62.39554, "aux.loss_seg": 0.30758, "aux.acc_seg": 60.56895, "loss": 0.95983, "time": 0.86065} +{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 15340, "data_time": 0.00804, "decode.loss_seg": 0.69853, "decode.acc_seg": 61.21755, "aux.loss_seg": 0.32761, "aux.acc_seg": 59.66221, "loss": 1.02614, "time": 0.63995} +{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 15340, "data_time": 0.00823, "decode.loss_seg": 0.65466, "decode.acc_seg": 61.31825, "aux.loss_seg": 0.30772, "aux.acc_seg": 59.88717, "loss": 0.96238, "time": 0.66532} +{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 15340, "data_time": 0.00855, "decode.loss_seg": 0.66034, "decode.acc_seg": 63.23598, "aux.loss_seg": 0.30798, "aux.acc_seg": 61.74685, "loss": 0.96833, "time": 0.66917} +{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 15340, "data_time": 0.00842, "decode.loss_seg": 0.69123, "decode.acc_seg": 62.09003, "aux.loss_seg": 0.32117, "aux.acc_seg": 60.82811, "loss": 1.0124, "time": 0.6784} +{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.63965, "decode.acc_seg": 62.6641, "aux.loss_seg": 0.30164, "aux.acc_seg": 60.95298, "loss": 0.94128, "time": 0.65833} +{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 15340, "data_time": 0.0089, "decode.loss_seg": 0.68224, "decode.acc_seg": 60.8159, "aux.loss_seg": 0.31246, "aux.acc_seg": 59.34568, "loss": 0.9947, "time": 0.68122} +{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 15340, "data_time": 0.00878, "decode.loss_seg": 0.67478, "decode.acc_seg": 60.52056, "aux.loss_seg": 0.31378, "aux.acc_seg": 58.88421, "loss": 0.98856, "time": 0.67271} +{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.66096, "decode.acc_seg": 62.3711, "aux.loss_seg": 0.30782, "aux.acc_seg": 61.07758, "loss": 0.96878, "time": 0.67835} +{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.68549, "decode.acc_seg": 62.18626, "aux.loss_seg": 0.31467, "aux.acc_seg": 60.5592, "loss": 1.00016, "time": 0.65812} +{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 15340, "data_time": 0.00799, "decode.loss_seg": 0.71918, "decode.acc_seg": 60.94547, "aux.loss_seg": 0.32494, "aux.acc_seg": 59.41334, "loss": 1.04412, "time": 0.64686} +{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.66653, "decode.acc_seg": 61.63394, "aux.loss_seg": 0.30716, "aux.acc_seg": 60.25114, "loss": 0.97368, "time": 0.6615} +{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 0.67435, "decode.acc_seg": 61.32648, "aux.loss_seg": 0.30802, "aux.acc_seg": 60.0889, "loss": 0.98237, "time": 0.67724} +{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 15340, "data_time": 0.00899, "decode.loss_seg": 0.70467, "decode.acc_seg": 62.5061, "aux.loss_seg": 0.31755, "aux.acc_seg": 61.00783, "loss": 1.02222, "time": 0.66193} +{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 15340, "data_time": 0.00792, "decode.loss_seg": 0.62566, "decode.acc_seg": 62.16875, "aux.loss_seg": 0.28678, "aux.acc_seg": 60.9415, "loss": 0.91244, "time": 0.6554} +{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 15340, "data_time": 0.0093, "decode.loss_seg": 0.69542, "decode.acc_seg": 61.01002, "aux.loss_seg": 0.32044, "aux.acc_seg": 59.43691, "loss": 1.01587, "time": 0.6804} +{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 15340, "data_time": 0.00905, "decode.loss_seg": 0.68577, "decode.acc_seg": 60.90172, "aux.loss_seg": 0.3078, "aux.acc_seg": 59.63509, "loss": 0.99357, "time": 0.66171} +{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 15340, "data_time": 0.00806, "decode.loss_seg": 0.72047, "decode.acc_seg": 60.37061, "aux.loss_seg": 0.32794, "aux.acc_seg": 58.98336, "loss": 1.04841, "time": 0.65523} +{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 15340, "data_time": 0.00799, "decode.loss_seg": 0.67795, "decode.acc_seg": 61.98021, "aux.loss_seg": 0.30615, "aux.acc_seg": 60.71605, "loss": 0.9841, "time": 0.6582} +{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 15340, "data_time": 0.00894, "decode.loss_seg": 0.69464, "decode.acc_seg": 61.28596, "aux.loss_seg": 0.31061, "aux.acc_seg": 60.24121, "loss": 1.00525, "time": 0.64143} +{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 15340, "data_time": 0.00889, "decode.loss_seg": 0.72136, "decode.acc_seg": 60.47046, "aux.loss_seg": 0.32889, "aux.acc_seg": 59.05327, "loss": 1.05025, "time": 0.66744} +{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 15340, "data_time": 0.00917, "decode.loss_seg": 0.65126, "decode.acc_seg": 61.09465, "aux.loss_seg": 0.29901, "aux.acc_seg": 59.56548, "loss": 0.95028, "time": 0.67445} +{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.69441, "decode.acc_seg": 63.11312, "aux.loss_seg": 0.31041, "aux.acc_seg": 62.02396, "loss": 1.00482, "time": 0.6723} +{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 15340, "data_time": 0.00828, "decode.loss_seg": 0.64604, "decode.acc_seg": 62.33404, "aux.loss_seg": 0.29427, "aux.acc_seg": 60.83169, "loss": 0.9403, "time": 0.68399} +{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 15340, "data_time": 0.00919, "decode.loss_seg": 0.65075, "decode.acc_seg": 62.43974, "aux.loss_seg": 0.29984, "aux.acc_seg": 60.8203, "loss": 0.95059, "time": 0.67738} +{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 15340, "data_time": 0.21073, "decode.loss_seg": 0.64379, "decode.acc_seg": 61.42129, "aux.loss_seg": 0.29501, "aux.acc_seg": 59.97508, "loss": 0.9388, "time": 0.85843} +{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 15340, "data_time": 0.00792, "decode.loss_seg": 0.62436, "decode.acc_seg": 61.80073, "aux.loss_seg": 0.27992, "aux.acc_seg": 61.10504, "loss": 0.90429, "time": 0.66054} +{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 15340, "data_time": 0.00846, "decode.loss_seg": 0.6319, "decode.acc_seg": 62.41953, "aux.loss_seg": 0.28784, "aux.acc_seg": 60.90291, "loss": 0.91973, "time": 0.67279} +{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 15340, "data_time": 0.00894, "decode.loss_seg": 0.60915, "decode.acc_seg": 63.06419, "aux.loss_seg": 0.28055, "aux.acc_seg": 61.70275, "loss": 0.88971, "time": 0.68227} +{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.64475, "decode.acc_seg": 63.56299, "aux.loss_seg": 0.29794, "aux.acc_seg": 61.83003, "loss": 0.94269, "time": 0.6565} +{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 15340, "data_time": 0.00892, "decode.loss_seg": 0.63643, "decode.acc_seg": 62.93273, "aux.loss_seg": 0.29075, "aux.acc_seg": 61.64833, "loss": 0.92718, "time": 0.68072} +{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 15340, "data_time": 0.00884, "decode.loss_seg": 0.62455, "decode.acc_seg": 62.77746, "aux.loss_seg": 0.28563, "aux.acc_seg": 61.36882, "loss": 0.91018, "time": 0.67177} +{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 15340, "data_time": 0.00879, "decode.loss_seg": 0.63901, "decode.acc_seg": 62.60557, "aux.loss_seg": 0.2888, "aux.acc_seg": 61.21532, "loss": 0.92781, "time": 0.65979} +{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 15340, "data_time": 0.00897, "decode.loss_seg": 0.64697, "decode.acc_seg": 61.80702, "aux.loss_seg": 0.29197, "aux.acc_seg": 60.7445, "loss": 0.93893, "time": 0.68019} +{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 15340, "data_time": 0.00777, "decode.loss_seg": 0.60265, "decode.acc_seg": 61.72384, "aux.loss_seg": 0.27769, "aux.acc_seg": 60.39092, "loss": 0.88034, "time": 0.67804} +{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 15340, "data_time": 0.00873, "decode.loss_seg": 0.59112, "decode.acc_seg": 62.70733, "aux.loss_seg": 0.26912, "aux.acc_seg": 61.79981, "loss": 0.86024, "time": 0.6565} +{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 15340, "data_time": 0.00877, "decode.loss_seg": 0.61777, "decode.acc_seg": 62.65934, "aux.loss_seg": 0.2796, "aux.acc_seg": 61.28014, "loss": 0.89737, "time": 0.67565} +{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 15340, "data_time": 0.0087, "decode.loss_seg": 0.59512, "decode.acc_seg": 62.79619, "aux.loss_seg": 0.26976, "aux.acc_seg": 61.75077, "loss": 0.86488, "time": 0.67925} +{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 15340, "data_time": 0.00884, "decode.loss_seg": 0.60618, "decode.acc_seg": 63.21014, "aux.loss_seg": 0.27584, "aux.acc_seg": 61.88346, "loss": 0.88202, "time": 0.68016} +{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 0.59813, "decode.acc_seg": 63.00317, "aux.loss_seg": 0.27495, "aux.acc_seg": 61.41835, "loss": 0.87308, "time": 0.67609} +{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 15340, "data_time": 0.00948, "decode.loss_seg": 0.6145, "decode.acc_seg": 63.65442, "aux.loss_seg": 0.27759, "aux.acc_seg": 62.44802, "loss": 0.89209, "time": 0.66534} +{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 15340, "data_time": 0.00916, "decode.loss_seg": 0.59067, "decode.acc_seg": 62.66374, "aux.loss_seg": 0.27051, "aux.acc_seg": 61.19339, "loss": 0.86118, "time": 0.67794} +{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 15340, "data_time": 0.0091, "decode.loss_seg": 0.61323, "decode.acc_seg": 62.19574, "aux.loss_seg": 0.27785, "aux.acc_seg": 60.97489, "loss": 0.89109, "time": 0.68447} +{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 15340, "data_time": 0.00912, "decode.loss_seg": 0.62842, "decode.acc_seg": 62.11954, "aux.loss_seg": 0.28295, "aux.acc_seg": 60.8441, "loss": 0.91136, "time": 0.64211} +{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 15340, "data_time": 0.00782, "decode.loss_seg": 0.59373, "decode.acc_seg": 63.49521, "aux.loss_seg": 0.27271, "aux.acc_seg": 62.19076, "loss": 0.86644, "time": 0.64551} +{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 15340, "data_time": 0.00787, "decode.loss_seg": 0.66488, "decode.acc_seg": 62.16931, "aux.loss_seg": 0.29472, "aux.acc_seg": 61.11526, "loss": 0.9596, "time": 0.63535} +{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 15340, "data_time": 0.00952, "decode.loss_seg": 0.61619, "decode.acc_seg": 63.02422, "aux.loss_seg": 0.2788, "aux.acc_seg": 61.54923, "loss": 0.89499, "time": 0.67664} +{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 15340, "data_time": 0.00896, "decode.loss_seg": 0.64244, "decode.acc_seg": 62.23519, "aux.loss_seg": 0.2857, "aux.acc_seg": 61.18551, "loss": 0.92815, "time": 0.68093} +{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 15340, "data_time": 0.01032, "decode.loss_seg": 0.6424, "decode.acc_seg": 62.14103, "aux.loss_seg": 0.2893, "aux.acc_seg": 61.03465, "loss": 0.93171, "time": 0.65962} +{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 15340, "data_time": 0.00827, "decode.loss_seg": 0.62397, "decode.acc_seg": 61.48707, "aux.loss_seg": 0.2775, "aux.acc_seg": 60.35818, "loss": 0.90148, "time": 0.67391} +{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 15340, "data_time": 0.2196, "decode.loss_seg": 0.62712, "decode.acc_seg": 62.15102, "aux.loss_seg": 0.28514, "aux.acc_seg": 60.86711, "loss": 0.91226, "time": 0.89243} +{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 15340, "data_time": 0.0092, "decode.loss_seg": 0.6105, "decode.acc_seg": 63.91423, "aux.loss_seg": 0.27312, "aux.acc_seg": 62.63171, "loss": 0.88362, "time": 0.66353} +{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 15340, "data_time": 0.00971, "decode.loss_seg": 0.60407, "decode.acc_seg": 62.77251, "aux.loss_seg": 0.2714, "aux.acc_seg": 61.6701, "loss": 0.87546, "time": 0.66278} +{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 15340, "data_time": 0.0099, "decode.loss_seg": 0.58386, "decode.acc_seg": 64.15865, "aux.loss_seg": 0.26264, "aux.acc_seg": 62.88548, "loss": 0.8465, "time": 0.67078} +{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 15340, "data_time": 0.00957, "decode.loss_seg": 0.59034, "decode.acc_seg": 63.51869, "aux.loss_seg": 0.26689, "aux.acc_seg": 62.44463, "loss": 0.85724, "time": 0.67045} +{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 15340, "data_time": 0.01053, "decode.loss_seg": 0.60007, "decode.acc_seg": 63.44745, "aux.loss_seg": 0.27282, "aux.acc_seg": 61.98045, "loss": 0.87289, "time": 0.67774} +{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 15340, "data_time": 0.01038, "decode.loss_seg": 0.59748, "decode.acc_seg": 63.01853, "aux.loss_seg": 0.26918, "aux.acc_seg": 61.90538, "loss": 0.86665, "time": 0.65298} +{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 15340, "data_time": 0.00931, "decode.loss_seg": 0.58518, "decode.acc_seg": 63.951, "aux.loss_seg": 0.26204, "aux.acc_seg": 62.74031, "loss": 0.84722, "time": 0.66964} +{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 15340, "data_time": 0.01039, "decode.loss_seg": 0.62517, "decode.acc_seg": 62.05843, "aux.loss_seg": 0.2744, "aux.acc_seg": 61.25089, "loss": 0.89957, "time": 0.66017} +{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 15340, "data_time": 0.00957, "decode.loss_seg": 0.5738, "decode.acc_seg": 64.25796, "aux.loss_seg": 0.26213, "aux.acc_seg": 62.93053, "loss": 0.83593, "time": 0.65282} +{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 15340, "data_time": 0.01041, "decode.loss_seg": 0.58537, "decode.acc_seg": 63.04433, "aux.loss_seg": 0.2648, "aux.acc_seg": 61.67901, "loss": 0.85017, "time": 0.68442} +{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 15340, "data_time": 0.01121, "decode.loss_seg": 0.60607, "decode.acc_seg": 62.27322, "aux.loss_seg": 0.2741, "aux.acc_seg": 60.63, "loss": 0.88017, "time": 0.68338} +{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 15340, "data_time": 0.00955, "decode.loss_seg": 0.60189, "decode.acc_seg": 62.04395, "aux.loss_seg": 0.27063, "aux.acc_seg": 60.86806, "loss": 0.87252, "time": 0.67304} +{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 15340, "data_time": 0.00922, "decode.loss_seg": 0.62496, "decode.acc_seg": 63.09222, "aux.loss_seg": 0.28305, "aux.acc_seg": 61.3865, "loss": 0.90801, "time": 0.65714} +{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 15340, "data_time": 0.01057, "decode.loss_seg": 0.59847, "decode.acc_seg": 64.53653, "aux.loss_seg": 0.26782, "aux.acc_seg": 63.47113, "loss": 0.8663, "time": 0.66864} +{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 15340, "data_time": 0.00962, "decode.loss_seg": 0.62779, "decode.acc_seg": 62.61158, "aux.loss_seg": 0.27684, "aux.acc_seg": 61.5963, "loss": 0.90463, "time": 0.66942} +{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 15340, "data_time": 0.01043, "decode.loss_seg": 0.60612, "decode.acc_seg": 62.51998, "aux.loss_seg": 0.26978, "aux.acc_seg": 61.85328, "loss": 0.8759, "time": 0.67004} +{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 15340, "data_time": 0.0095, "decode.loss_seg": 0.61207, "decode.acc_seg": 63.55512, "aux.loss_seg": 0.27004, "aux.acc_seg": 62.30968, "loss": 0.88211, "time": 0.66382} +{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 15340, "data_time": 0.01018, "decode.loss_seg": 0.5961, "decode.acc_seg": 64.56852, "aux.loss_seg": 0.26571, "aux.acc_seg": 63.39348, "loss": 0.86181, "time": 0.66064} +{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 15340, "data_time": 0.01025, "decode.loss_seg": 0.58694, "decode.acc_seg": 63.81264, "aux.loss_seg": 0.26117, "aux.acc_seg": 62.79068, "loss": 0.84811, "time": 0.67043} +{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 15340, "data_time": 0.01031, "decode.loss_seg": 0.61097, "decode.acc_seg": 63.64259, "aux.loss_seg": 0.2752, "aux.acc_seg": 62.20113, "loss": 0.88617, "time": 0.6498} +{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 15340, "data_time": 0.00962, "decode.loss_seg": 0.59342, "decode.acc_seg": 63.83735, "aux.loss_seg": 0.26316, "aux.acc_seg": 62.58393, "loss": 0.85658, "time": 0.66327} +{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 15340, "data_time": 0.00966, "decode.loss_seg": 0.59712, "decode.acc_seg": 63.25116, "aux.loss_seg": 0.26898, "aux.acc_seg": 61.9895, "loss": 0.8661, "time": 0.67447} +{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 15340, "data_time": 0.00999, "decode.loss_seg": 0.63218, "decode.acc_seg": 61.34969, "aux.loss_seg": 0.27929, "aux.acc_seg": 60.50055, "loss": 0.91147, "time": 0.67699} +{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 15340, "data_time": 0.01043, "decode.loss_seg": 0.57218, "decode.acc_seg": 63.10864, "aux.loss_seg": 0.25659, "aux.acc_seg": 61.84458, "loss": 0.82877, "time": 0.6797} +{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 15340, "data_time": 0.21473, "decode.loss_seg": 0.55095, "decode.acc_seg": 63.51554, "aux.loss_seg": 0.24788, "aux.acc_seg": 62.17221, "loss": 0.79883, "time": 0.87851} +{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 15340, "data_time": 0.01007, "decode.loss_seg": 0.54912, "decode.acc_seg": 64.27139, "aux.loss_seg": 0.24838, "aux.acc_seg": 63.10474, "loss": 0.7975, "time": 0.66333} +{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 15340, "data_time": 0.00989, "decode.loss_seg": 0.55884, "decode.acc_seg": 64.60388, "aux.loss_seg": 0.25545, "aux.acc_seg": 63.21706, "loss": 0.8143, "time": 0.6609} +{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 15340, "data_time": 0.00987, "decode.loss_seg": 0.55915, "decode.acc_seg": 65.0502, "aux.loss_seg": 0.25375, "aux.acc_seg": 63.79028, "loss": 0.81289, "time": 0.6797} +{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 15340, "data_time": 0.01, "decode.loss_seg": 0.57223, "decode.acc_seg": 63.34565, "aux.loss_seg": 0.25644, "aux.acc_seg": 62.15265, "loss": 0.82867, "time": 0.65544} +{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 15340, "data_time": 0.01004, "decode.loss_seg": 0.58257, "decode.acc_seg": 63.29907, "aux.loss_seg": 0.26178, "aux.acc_seg": 62.33934, "loss": 0.84435, "time": 0.66874} +{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 15340, "data_time": 0.01008, "decode.loss_seg": 0.55857, "decode.acc_seg": 65.65566, "aux.loss_seg": 0.2549, "aux.acc_seg": 64.03825, "loss": 0.81347, "time": 0.66786} +{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 15340, "data_time": 0.0102, "decode.loss_seg": 0.5573, "decode.acc_seg": 63.17007, "aux.loss_seg": 0.24934, "aux.acc_seg": 62.3677, "loss": 0.80664, "time": 0.65345} +{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.55476, "decode.acc_seg": 62.94214, "aux.loss_seg": 0.25099, "aux.acc_seg": 61.88434, "loss": 0.80575, "time": 0.6736} +{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 15340, "data_time": 0.00993, "decode.loss_seg": 0.58979, "decode.acc_seg": 64.14396, "aux.loss_seg": 0.25784, "aux.acc_seg": 63.46939, "loss": 0.84763, "time": 0.65642} +{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 15340, "data_time": 0.00995, "decode.loss_seg": 0.54578, "decode.acc_seg": 65.93219, "aux.loss_seg": 0.24615, "aux.acc_seg": 64.53471, "loss": 0.79193, "time": 0.6765} +{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 15340, "data_time": 0.01033, "decode.loss_seg": 0.52656, "decode.acc_seg": 65.38454, "aux.loss_seg": 0.23872, "aux.acc_seg": 64.17896, "loss": 0.76528, "time": 0.67005} +{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 15340, "data_time": 0.00918, "decode.loss_seg": 0.57214, "decode.acc_seg": 63.45098, "aux.loss_seg": 0.25544, "aux.acc_seg": 62.23809, "loss": 0.82758, "time": 0.64973} +{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 15340, "data_time": 0.01004, "decode.loss_seg": 0.54644, "decode.acc_seg": 63.84189, "aux.loss_seg": 0.24642, "aux.acc_seg": 62.54347, "loss": 0.79286, "time": 0.66737} +{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 15340, "data_time": 0.00996, "decode.loss_seg": 0.59139, "decode.acc_seg": 63.27092, "aux.loss_seg": 0.263, "aux.acc_seg": 62.1521, "loss": 0.85439, "time": 0.67709} +{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 15340, "data_time": 0.01005, "decode.loss_seg": 0.56481, "decode.acc_seg": 65.09552, "aux.loss_seg": 0.25009, "aux.acc_seg": 63.95329, "loss": 0.8149, "time": 0.66954} +{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 15340, "data_time": 0.01, "decode.loss_seg": 0.56744, "decode.acc_seg": 63.86916, "aux.loss_seg": 0.2511, "aux.acc_seg": 62.74805, "loss": 0.81854, "time": 0.66727} +{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.59273, "decode.acc_seg": 62.92856, "aux.loss_seg": 0.26462, "aux.acc_seg": 61.91794, "loss": 0.85735, "time": 0.67493} +{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 15340, "data_time": 0.00949, "decode.loss_seg": 0.57397, "decode.acc_seg": 62.4704, "aux.loss_seg": 0.25373, "aux.acc_seg": 61.53128, "loss": 0.8277, "time": 0.67291} +{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 15340, "data_time": 0.00814, "decode.loss_seg": 0.60706, "decode.acc_seg": 62.47743, "aux.loss_seg": 0.26875, "aux.acc_seg": 61.39353, "loss": 0.87581, "time": 0.65558} +{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.54864, "decode.acc_seg": 65.59519, "aux.loss_seg": 0.24222, "aux.acc_seg": 64.75792, "loss": 0.79085, "time": 0.6597} +{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 15340, "data_time": 0.00882, "decode.loss_seg": 0.55613, "decode.acc_seg": 63.1755, "aux.loss_seg": 0.24657, "aux.acc_seg": 62.30484, "loss": 0.80269, "time": 0.66242} +{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 15340, "data_time": 0.00889, "decode.loss_seg": 0.58859, "decode.acc_seg": 62.74328, "aux.loss_seg": 0.26049, "aux.acc_seg": 61.86565, "loss": 0.84908, "time": 0.66316} +{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 15340, "data_time": 0.00953, "decode.loss_seg": 0.5904, "decode.acc_seg": 63.75273, "aux.loss_seg": 0.25875, "aux.acc_seg": 62.84271, "loss": 0.84914, "time": 0.66193} +{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 15340, "data_time": 0.01003, "decode.loss_seg": 0.55804, "decode.acc_seg": 64.7768, "aux.loss_seg": 0.24663, "aux.acc_seg": 63.75498, "loss": 0.80468, "time": 0.64833} +{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 15340, "data_time": 0.01063, "decode.loss_seg": 0.567, "decode.acc_seg": 62.5753, "aux.loss_seg": 0.25252, "aux.acc_seg": 61.38978, "loss": 0.81951, "time": 0.67245} +{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 15340, "data_time": 0.22988, "decode.loss_seg": 0.52583, "decode.acc_seg": 65.91078, "aux.loss_seg": 0.23387, "aux.acc_seg": 64.87321, "loss": 0.75971, "time": 0.85726} +{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 15340, "data_time": 0.00867, "decode.loss_seg": 0.53938, "decode.acc_seg": 64.52308, "aux.loss_seg": 0.24328, "aux.acc_seg": 63.43138, "loss": 0.78266, "time": 0.6675} +{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.56035, "decode.acc_seg": 66.15895, "aux.loss_seg": 0.2516, "aux.acc_seg": 64.85269, "loss": 0.81195, "time": 0.63508} +{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 15340, "data_time": 0.00933, "decode.loss_seg": 0.53094, "decode.acc_seg": 64.39681, "aux.loss_seg": 0.23794, "aux.acc_seg": 63.49908, "loss": 0.76888, "time": 0.68325} +{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 15340, "data_time": 0.00918, "decode.loss_seg": 0.55338, "decode.acc_seg": 64.22896, "aux.loss_seg": 0.24868, "aux.acc_seg": 62.91342, "loss": 0.80206, "time": 0.68241} +{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 15340, "data_time": 0.00943, "decode.loss_seg": 0.5601, "decode.acc_seg": 63.99155, "aux.loss_seg": 0.24824, "aux.acc_seg": 62.85676, "loss": 0.80834, "time": 0.67027} +{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 15340, "data_time": 0.00936, "decode.loss_seg": 0.55864, "decode.acc_seg": 64.52633, "aux.loss_seg": 0.24786, "aux.acc_seg": 63.466, "loss": 0.8065, "time": 0.66535} +{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 15340, "data_time": 0.00824, "decode.loss_seg": 0.54736, "decode.acc_seg": 64.72052, "aux.loss_seg": 0.24741, "aux.acc_seg": 63.36442, "loss": 0.79477, "time": 0.66808} +{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 0.50429, "decode.acc_seg": 66.14729, "aux.loss_seg": 0.22805, "aux.acc_seg": 64.89304, "loss": 0.73235, "time": 0.6378} +{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 15340, "data_time": 0.00901, "decode.loss_seg": 0.5445, "decode.acc_seg": 65.01968, "aux.loss_seg": 0.24783, "aux.acc_seg": 63.75806, "loss": 0.79232, "time": 0.66264} +{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 15340, "data_time": 0.00809, "decode.loss_seg": 0.56085, "decode.acc_seg": 65.57259, "aux.loss_seg": 0.25051, "aux.acc_seg": 64.40876, "loss": 0.81136, "time": 0.65915} +{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 15340, "data_time": 0.0093, "decode.loss_seg": 0.53105, "decode.acc_seg": 66.55473, "aux.loss_seg": 0.23865, "aux.acc_seg": 65.15523, "loss": 0.7697, "time": 0.67443} +{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 15340, "data_time": 0.00943, "decode.loss_seg": 0.55333, "decode.acc_seg": 64.38054, "aux.loss_seg": 0.2471, "aux.acc_seg": 63.42769, "loss": 0.80043, "time": 0.65893} +{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 15340, "data_time": 0.00803, "decode.loss_seg": 0.53236, "decode.acc_seg": 64.66252, "aux.loss_seg": 0.2366, "aux.acc_seg": 63.53062, "loss": 0.76896, "time": 0.66555} +{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 15340, "data_time": 0.00901, "decode.loss_seg": 0.54892, "decode.acc_seg": 63.8137, "aux.loss_seg": 0.24546, "aux.acc_seg": 62.44777, "loss": 0.79438, "time": 0.67572} +{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 15340, "data_time": 0.00912, "decode.loss_seg": 0.60157, "decode.acc_seg": 62.78146, "aux.loss_seg": 0.26255, "aux.acc_seg": 61.98681, "loss": 0.86412, "time": 0.6786} +{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 15340, "data_time": 0.00931, "decode.loss_seg": 0.5539, "decode.acc_seg": 63.69242, "aux.loss_seg": 0.24596, "aux.acc_seg": 62.70798, "loss": 0.79986, "time": 0.66387} +{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 15340, "data_time": 0.01031, "decode.loss_seg": 0.52766, "decode.acc_seg": 64.7957, "aux.loss_seg": 0.23611, "aux.acc_seg": 63.49088, "loss": 0.76377, "time": 0.6641} +{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 15340, "data_time": 0.01033, "decode.loss_seg": 0.5469, "decode.acc_seg": 63.44777, "aux.loss_seg": 0.24248, "aux.acc_seg": 62.39316, "loss": 0.78938, "time": 0.67501} +{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 15340, "data_time": 0.00928, "decode.loss_seg": 0.53958, "decode.acc_seg": 63.48875, "aux.loss_seg": 0.23877, "aux.acc_seg": 62.47613, "loss": 0.77835, "time": 0.6626} +{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 15340, "data_time": 0.00919, "decode.loss_seg": 0.52136, "decode.acc_seg": 64.62591, "aux.loss_seg": 0.23412, "aux.acc_seg": 63.442, "loss": 0.75548, "time": 0.64732} +{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 15340, "data_time": 0.01022, "decode.loss_seg": 0.51076, "decode.acc_seg": 64.90648, "aux.loss_seg": 0.22684, "aux.acc_seg": 63.8401, "loss": 0.7376, "time": 0.64629} +{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 15340, "data_time": 0.00929, "decode.loss_seg": 0.53454, "decode.acc_seg": 64.48186, "aux.loss_seg": 0.23547, "aux.acc_seg": 63.51871, "loss": 0.77002, "time": 0.65385} +{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 15340, "data_time": 0.00922, "decode.loss_seg": 0.5226, "decode.acc_seg": 64.60076, "aux.loss_seg": 0.23078, "aux.acc_seg": 63.49553, "loss": 0.75338, "time": 0.67597} +{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.54162, "decode.acc_seg": 63.64989, "aux.loss_seg": 0.24038, "aux.acc_seg": 62.72065, "loss": 0.782, "time": 0.68016} +{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 15340, "data_time": 0.20751, "decode.loss_seg": 0.5304, "decode.acc_seg": 64.88631, "aux.loss_seg": 0.24263, "aux.acc_seg": 63.65701, "loss": 0.77303, "time": 0.88454} +{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 15340, "data_time": 0.00881, "decode.loss_seg": 0.49953, "decode.acc_seg": 65.7226, "aux.loss_seg": 0.22627, "aux.acc_seg": 64.57512, "loss": 0.7258, "time": 0.65624} +{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 15340, "data_time": 0.01009, "decode.loss_seg": 0.51555, "decode.acc_seg": 63.82436, "aux.loss_seg": 0.23023, "aux.acc_seg": 62.63924, "loss": 0.74578, "time": 0.67078} +{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 15340, "data_time": 0.01005, "decode.loss_seg": 0.50804, "decode.acc_seg": 65.7957, "aux.loss_seg": 0.23017, "aux.acc_seg": 64.51536, "loss": 0.7382, "time": 0.66137} +{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 15340, "data_time": 0.00899, "decode.loss_seg": 0.50392, "decode.acc_seg": 64.48557, "aux.loss_seg": 0.22715, "aux.acc_seg": 63.42819, "loss": 0.73107, "time": 0.63928} +{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 15340, "data_time": 0.00907, "decode.loss_seg": 0.51624, "decode.acc_seg": 64.31833, "aux.loss_seg": 0.23289, "aux.acc_seg": 62.97892, "loss": 0.74914, "time": 0.66974} +{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 0.52213, "decode.acc_seg": 64.95919, "aux.loss_seg": 0.23213, "aux.acc_seg": 63.90728, "loss": 0.75426, "time": 0.65498} +{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 15340, "data_time": 0.00895, "decode.loss_seg": 0.5171, "decode.acc_seg": 64.04001, "aux.loss_seg": 0.2316, "aux.acc_seg": 62.67442, "loss": 0.7487, "time": 0.67308} +{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 15340, "data_time": 0.01027, "decode.loss_seg": 0.51388, "decode.acc_seg": 64.50926, "aux.loss_seg": 0.23093, "aux.acc_seg": 63.48421, "loss": 0.74481, "time": 0.65542} +{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 15340, "data_time": 0.00989, "decode.loss_seg": 0.51396, "decode.acc_seg": 64.47693, "aux.loss_seg": 0.23171, "aux.acc_seg": 63.29781, "loss": 0.74568, "time": 0.67698} +{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 15340, "data_time": 0.0089, "decode.loss_seg": 0.52479, "decode.acc_seg": 65.79602, "aux.loss_seg": 0.23275, "aux.acc_seg": 64.56495, "loss": 0.75754, "time": 0.65398} +{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 15340, "data_time": 0.00986, "decode.loss_seg": 0.53385, "decode.acc_seg": 65.57155, "aux.loss_seg": 0.23887, "aux.acc_seg": 64.42015, "loss": 0.77272, "time": 0.64535} +{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 15340, "data_time": 0.00949, "decode.loss_seg": 0.54272, "decode.acc_seg": 63.92513, "aux.loss_seg": 0.23843, "aux.acc_seg": 63.03679, "loss": 0.78115, "time": 0.64687} +{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 15340, "data_time": 0.00969, "decode.loss_seg": 0.51077, "decode.acc_seg": 65.39334, "aux.loss_seg": 0.22813, "aux.acc_seg": 64.42969, "loss": 0.7389, "time": 0.66228} +{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 15340, "data_time": 0.01012, "decode.loss_seg": 0.52993, "decode.acc_seg": 65.62494, "aux.loss_seg": 0.23619, "aux.acc_seg": 64.53849, "loss": 0.76612, "time": 0.66654} +{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 15340, "data_time": 0.01031, "decode.loss_seg": 0.52174, "decode.acc_seg": 65.49159, "aux.loss_seg": 0.23247, "aux.acc_seg": 64.41767, "loss": 0.75421, "time": 0.67254} +{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.50277, "decode.acc_seg": 65.49436, "aux.loss_seg": 0.22232, "aux.acc_seg": 64.72293, "loss": 0.72509, "time": 0.66199} +{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 15340, "data_time": 0.00948, "decode.loss_seg": 0.57224, "decode.acc_seg": 63.87405, "aux.loss_seg": 0.2531, "aux.acc_seg": 62.70229, "loss": 0.82534, "time": 0.664} +{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 15340, "data_time": 0.01016, "decode.loss_seg": 0.55529, "decode.acc_seg": 64.62497, "aux.loss_seg": 0.24583, "aux.acc_seg": 63.62139, "loss": 0.80112, "time": 0.65971} +{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 15340, "data_time": 0.00981, "decode.loss_seg": 0.4976, "decode.acc_seg": 67.73445, "aux.loss_seg": 0.22478, "aux.acc_seg": 66.36747, "loss": 0.72238, "time": 0.67938} +{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 15340, "data_time": 0.01033, "decode.loss_seg": 0.48024, "decode.acc_seg": 66.39662, "aux.loss_seg": 0.21447, "aux.acc_seg": 65.57902, "loss": 0.69472, "time": 0.65999} +{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 15340, "data_time": 0.00936, "decode.loss_seg": 0.49887, "decode.acc_seg": 64.08184, "aux.loss_seg": 0.22081, "aux.acc_seg": 63.31891, "loss": 0.71968, "time": 0.64915} +{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 15340, "data_time": 0.0098, "decode.loss_seg": 0.53215, "decode.acc_seg": 63.30329, "aux.loss_seg": 0.2374, "aux.acc_seg": 62.2882, "loss": 0.76955, "time": 0.66509} +{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 15340, "data_time": 0.00915, "decode.loss_seg": 0.56216, "decode.acc_seg": 65.01918, "aux.loss_seg": 0.24549, "aux.acc_seg": 64.11083, "loss": 0.80765, "time": 0.65257} +{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 15340, "data_time": 0.01007, "decode.loss_seg": 0.52478, "decode.acc_seg": 65.55169, "aux.loss_seg": 0.23551, "aux.acc_seg": 64.52337, "loss": 0.76029, "time": 0.66947} +{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 15340, "data_time": 0.21398, "decode.loss_seg": 0.49731, "decode.acc_seg": 65.36824, "aux.loss_seg": 0.22267, "aux.acc_seg": 64.25934, "loss": 0.71998, "time": 0.88685} +{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 15340, "data_time": 0.00991, "decode.loss_seg": 0.47394, "decode.acc_seg": 66.15135, "aux.loss_seg": 0.21689, "aux.acc_seg": 64.62683, "loss": 0.69083, "time": 0.66286} +{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 15340, "data_time": 0.01032, "decode.loss_seg": 0.45378, "decode.acc_seg": 66.26591, "aux.loss_seg": 0.20573, "aux.acc_seg": 65.27635, "loss": 0.65952, "time": 0.6812} +{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 15340, "data_time": 0.00896, "decode.loss_seg": 0.48634, "decode.acc_seg": 65.91155, "aux.loss_seg": 0.21874, "aux.acc_seg": 64.67972, "loss": 0.70508, "time": 0.65887} +{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 15340, "data_time": 0.0093, "decode.loss_seg": 0.49493, "decode.acc_seg": 67.22812, "aux.loss_seg": 0.22379, "aux.acc_seg": 65.81856, "loss": 0.71872, "time": 0.65908} +{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 15340, "data_time": 0.00906, "decode.loss_seg": 0.49895, "decode.acc_seg": 65.83113, "aux.loss_seg": 0.22414, "aux.acc_seg": 64.54073, "loss": 0.72308, "time": 0.6588} +{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 15340, "data_time": 0.01048, "decode.loss_seg": 0.49988, "decode.acc_seg": 64.89941, "aux.loss_seg": 0.2265, "aux.acc_seg": 63.44789, "loss": 0.72638, "time": 0.67675} +{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 15340, "data_time": 0.01034, "decode.loss_seg": 0.49695, "decode.acc_seg": 67.15049, "aux.loss_seg": 0.22241, "aux.acc_seg": 65.97643, "loss": 0.71936, "time": 0.66779} +{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 15340, "data_time": 0.00962, "decode.loss_seg": 0.47299, "decode.acc_seg": 65.4455, "aux.loss_seg": 0.21111, "aux.acc_seg": 64.55278, "loss": 0.68411, "time": 0.66874} +{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 15340, "data_time": 0.00889, "decode.loss_seg": 0.50557, "decode.acc_seg": 66.82801, "aux.loss_seg": 0.22446, "aux.acc_seg": 65.89219, "loss": 0.73002, "time": 0.65893} +{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.4903, "decode.acc_seg": 64.28981, "aux.loss_seg": 0.2192, "aux.acc_seg": 63.36218, "loss": 0.7095, "time": 0.66672} +{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 15340, "data_time": 0.01008, "decode.loss_seg": 0.48195, "decode.acc_seg": 66.37363, "aux.loss_seg": 0.21788, "aux.acc_seg": 65.38068, "loss": 0.69983, "time": 0.65135} +{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 15340, "data_time": 0.01054, "decode.loss_seg": 0.5088, "decode.acc_seg": 63.6231, "aux.loss_seg": 0.22674, "aux.acc_seg": 62.71899, "loss": 0.73553, "time": 0.64291} +{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 15340, "data_time": 0.01036, "decode.loss_seg": 0.51165, "decode.acc_seg": 66.80904, "aux.loss_seg": 0.2294, "aux.acc_seg": 65.78568, "loss": 0.74104, "time": 0.67575} +{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 15340, "data_time": 0.00936, "decode.loss_seg": 0.52178, "decode.acc_seg": 65.26362, "aux.loss_seg": 0.23322, "aux.acc_seg": 64.24973, "loss": 0.755, "time": 0.65441} +{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 15340, "data_time": 0.00984, "decode.loss_seg": 0.51026, "decode.acc_seg": 67.55178, "aux.loss_seg": 0.2257, "aux.acc_seg": 66.58552, "loss": 0.73596, "time": 0.65934} +{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.48858, "decode.acc_seg": 64.40738, "aux.loss_seg": 0.2188, "aux.acc_seg": 63.46129, "loss": 0.70738, "time": 0.66459} +{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 15340, "data_time": 0.01022, "decode.loss_seg": 0.48929, "decode.acc_seg": 66.02615, "aux.loss_seg": 0.21823, "aux.acc_seg": 65.1737, "loss": 0.70752, "time": 0.67043} +{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 0.48743, "decode.acc_seg": 67.62097, "aux.loss_seg": 0.22063, "aux.acc_seg": 66.27624, "loss": 0.70806, "time": 0.65871} +{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 15340, "data_time": 0.00908, "decode.loss_seg": 0.53133, "decode.acc_seg": 64.2292, "aux.loss_seg": 0.2321, "aux.acc_seg": 63.20171, "loss": 0.76343, "time": 0.66383} +{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.51907, "decode.acc_seg": 65.89351, "aux.loss_seg": 0.23004, "aux.acc_seg": 64.75679, "loss": 0.74911, "time": 0.66472} +{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.52905, "decode.acc_seg": 64.63214, "aux.loss_seg": 0.23306, "aux.acc_seg": 63.40292, "loss": 0.76211, "time": 0.67118} +{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 15340, "data_time": 0.00997, "decode.loss_seg": 0.50114, "decode.acc_seg": 64.90702, "aux.loss_seg": 0.22337, "aux.acc_seg": 63.60448, "loss": 0.72452, "time": 0.65511} +{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 15340, "data_time": 0.00967, "decode.loss_seg": 0.53878, "decode.acc_seg": 65.66189, "aux.loss_seg": 0.24016, "aux.acc_seg": 64.5568, "loss": 0.77894, "time": 0.66543} +{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 0.51766, "decode.acc_seg": 64.52648, "aux.loss_seg": 0.225, "aux.acc_seg": 63.61621, "loss": 0.74266, "time": 0.64241} +{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 15340, "data_time": 0.21088, "decode.loss_seg": 0.51901, "decode.acc_seg": 66.34192, "aux.loss_seg": 0.22991, "aux.acc_seg": 65.15795, "loss": 0.74893, "time": 0.88916} +{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.49504, "decode.acc_seg": 65.49239, "aux.loss_seg": 0.22417, "aux.acc_seg": 64.36153, "loss": 0.71921, "time": 0.67991} +{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.48433, "decode.acc_seg": 65.55515, "aux.loss_seg": 0.22015, "aux.acc_seg": 64.3638, "loss": 0.70449, "time": 0.67186} +{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 15340, "data_time": 0.01048, "decode.loss_seg": 0.48669, "decode.acc_seg": 65.75235, "aux.loss_seg": 0.22029, "aux.acc_seg": 64.32808, "loss": 0.70698, "time": 0.6727} +{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 15340, "data_time": 0.01079, "decode.loss_seg": 0.49184, "decode.acc_seg": 66.9793, "aux.loss_seg": 0.2166, "aux.acc_seg": 66.12272, "loss": 0.70844, "time": 0.66768} +{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.47204, "decode.acc_seg": 66.55518, "aux.loss_seg": 0.21381, "aux.acc_seg": 65.23589, "loss": 0.68584, "time": 0.66935} +{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 15340, "data_time": 0.00945, "decode.loss_seg": 0.48377, "decode.acc_seg": 66.19208, "aux.loss_seg": 0.21808, "aux.acc_seg": 64.76213, "loss": 0.70184, "time": 0.63679} +{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.46535, "decode.acc_seg": 66.65094, "aux.loss_seg": 0.20936, "aux.acc_seg": 65.41176, "loss": 0.67471, "time": 0.66225} +{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 15340, "data_time": 0.01058, "decode.loss_seg": 0.47249, "decode.acc_seg": 64.20986, "aux.loss_seg": 0.21375, "aux.acc_seg": 63.01753, "loss": 0.68624, "time": 0.68441} +{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 15340, "data_time": 0.00888, "decode.loss_seg": 0.49737, "decode.acc_seg": 66.73537, "aux.loss_seg": 0.22757, "aux.acc_seg": 65.46322, "loss": 0.72494, "time": 0.68238} +{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 15340, "data_time": 0.01028, "decode.loss_seg": 0.48719, "decode.acc_seg": 65.74602, "aux.loss_seg": 0.21934, "aux.acc_seg": 64.62971, "loss": 0.70653, "time": 0.65682} +{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 15340, "data_time": 0.00949, "decode.loss_seg": 0.47689, "decode.acc_seg": 65.31154, "aux.loss_seg": 0.21135, "aux.acc_seg": 64.27825, "loss": 0.68824, "time": 0.67102} +{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 15340, "data_time": 0.00978, "decode.loss_seg": 0.46673, "decode.acc_seg": 66.76206, "aux.loss_seg": 0.20759, "aux.acc_seg": 65.86718, "loss": 0.67432, "time": 0.66039} +{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.45981, "decode.acc_seg": 66.46672, "aux.loss_seg": 0.20861, "aux.acc_seg": 65.11315, "loss": 0.66841, "time": 0.66217} +{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 15340, "data_time": 0.01068, "decode.loss_seg": 0.48219, "decode.acc_seg": 67.503, "aux.loss_seg": 0.21708, "aux.acc_seg": 66.39036, "loss": 0.69927, "time": 0.65681} +{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 15340, "data_time": 0.00963, "decode.loss_seg": 0.49121, "decode.acc_seg": 67.04282, "aux.loss_seg": 0.22041, "aux.acc_seg": 65.91864, "loss": 0.71162, "time": 0.66155} +{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 15340, "data_time": 0.01007, "decode.loss_seg": 0.48859, "decode.acc_seg": 65.29375, "aux.loss_seg": 0.21804, "aux.acc_seg": 64.14645, "loss": 0.70664, "time": 0.67928} +{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.50079, "decode.acc_seg": 65.81803, "aux.loss_seg": 0.22529, "aux.acc_seg": 64.63297, "loss": 0.72608, "time": 0.67294} +{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 15340, "data_time": 0.00907, "decode.loss_seg": 0.49992, "decode.acc_seg": 64.60156, "aux.loss_seg": 0.22362, "aux.acc_seg": 63.24495, "loss": 0.72354, "time": 0.6519} +{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 15340, "data_time": 0.00967, "decode.loss_seg": 0.4985, "decode.acc_seg": 66.14617, "aux.loss_seg": 0.22283, "aux.acc_seg": 65.21754, "loss": 0.72133, "time": 0.67603} +{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 15340, "data_time": 0.00904, "decode.loss_seg": 0.53365, "decode.acc_seg": 63.65894, "aux.loss_seg": 0.23648, "aux.acc_seg": 62.83941, "loss": 0.77013, "time": 0.6526} +{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 15340, "data_time": 0.00991, "decode.loss_seg": 0.49791, "decode.acc_seg": 65.53513, "aux.loss_seg": 0.22296, "aux.acc_seg": 64.42742, "loss": 0.72086, "time": 0.66288} +{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 15340, "data_time": 0.00991, "decode.loss_seg": 0.51794, "decode.acc_seg": 65.47368, "aux.loss_seg": 0.23053, "aux.acc_seg": 64.34268, "loss": 0.74847, "time": 0.67009} +{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 15340, "data_time": 0.00978, "decode.loss_seg": 0.48027, "decode.acc_seg": 67.226, "aux.loss_seg": 0.21552, "aux.acc_seg": 66.31763, "loss": 0.69578, "time": 0.66509} +{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 15340, "data_time": 0.01, "decode.loss_seg": 0.48213, "decode.acc_seg": 65.4063, "aux.loss_seg": 0.2134, "aux.acc_seg": 64.30131, "loss": 0.69553, "time": 0.68199} +{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 15340, "data_time": 0.0095, "decode.loss_seg": 0.51139, "decode.acc_seg": 65.46838, "aux.loss_seg": 0.22547, "aux.acc_seg": 64.53913, "loss": 0.73686, "time": 0.66036} +{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 15340, "data_time": 0.22412, "decode.loss_seg": 0.4621, "decode.acc_seg": 66.19934, "aux.loss_seg": 0.20811, "aux.acc_seg": 64.91447, "loss": 0.67021, "time": 0.8897} +{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 15340, "data_time": 0.01028, "decode.loss_seg": 0.46715, "decode.acc_seg": 65.79398, "aux.loss_seg": 0.20945, "aux.acc_seg": 64.57991, "loss": 0.6766, "time": 0.67808} +{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 15340, "data_time": 0.01005, "decode.loss_seg": 0.45026, "decode.acc_seg": 67.54862, "aux.loss_seg": 0.20289, "aux.acc_seg": 66.15558, "loss": 0.65315, "time": 0.66122} +{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 15340, "data_time": 0.00908, "decode.loss_seg": 0.48568, "decode.acc_seg": 67.38577, "aux.loss_seg": 0.21822, "aux.acc_seg": 66.04515, "loss": 0.7039, "time": 0.66675} +{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.47066, "decode.acc_seg": 66.63379, "aux.loss_seg": 0.2151, "aux.acc_seg": 65.10738, "loss": 0.68576, "time": 0.6669} +{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 15340, "data_time": 0.00916, "decode.loss_seg": 0.46925, "decode.acc_seg": 65.92086, "aux.loss_seg": 0.21032, "aux.acc_seg": 64.89627, "loss": 0.67957, "time": 0.63895} +{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 15340, "data_time": 0.00911, "decode.loss_seg": 0.45903, "decode.acc_seg": 66.97127, "aux.loss_seg": 0.20942, "aux.acc_seg": 65.67924, "loss": 0.66845, "time": 0.66252} +{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 15340, "data_time": 0.01009, "decode.loss_seg": 0.44333, "decode.acc_seg": 66.555, "aux.loss_seg": 0.20158, "aux.acc_seg": 65.33704, "loss": 0.6449, "time": 0.66979} +{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.45397, "decode.acc_seg": 64.92995, "aux.loss_seg": 0.20757, "aux.acc_seg": 63.69873, "loss": 0.66154, "time": 0.67486} +{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 15340, "data_time": 0.00946, "decode.loss_seg": 0.45764, "decode.acc_seg": 66.4884, "aux.loss_seg": 0.20681, "aux.acc_seg": 65.20085, "loss": 0.66445, "time": 0.68407} +{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.4854, "decode.acc_seg": 66.00243, "aux.loss_seg": 0.21735, "aux.acc_seg": 65.1214, "loss": 0.70274, "time": 0.67571} +{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 15340, "data_time": 0.00913, "decode.loss_seg": 0.45634, "decode.acc_seg": 66.1527, "aux.loss_seg": 0.20416, "aux.acc_seg": 65.10143, "loss": 0.66049, "time": 0.67904} +{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 15340, "data_time": 0.00945, "decode.loss_seg": 0.47059, "decode.acc_seg": 66.59907, "aux.loss_seg": 0.21086, "aux.acc_seg": 65.61028, "loss": 0.68145, "time": 0.66519} +{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 15340, "data_time": 0.00935, "decode.loss_seg": 0.4604, "decode.acc_seg": 67.16583, "aux.loss_seg": 0.20611, "aux.acc_seg": 66.11445, "loss": 0.66651, "time": 0.66335} +{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 15340, "data_time": 0.00988, "decode.loss_seg": 0.44434, "decode.acc_seg": 66.54562, "aux.loss_seg": 0.19655, "aux.acc_seg": 65.73506, "loss": 0.64089, "time": 0.67072} +{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 15340, "data_time": 0.00978, "decode.loss_seg": 0.50125, "decode.acc_seg": 65.23348, "aux.loss_seg": 0.2227, "aux.acc_seg": 64.27503, "loss": 0.72395, "time": 0.66311} +{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.4261, "mAcc": 0.5581, "aAcc": 0.8019, "IoU.wall": 0.7314, "IoU.building": 0.8067, "IoU.sky": 0.9348, "IoU.floor": 0.7824, "IoU.tree": 0.7173, "IoU.ceiling": 0.8094, "IoU.road": 0.7939, "IoU.bed ": 0.8264, "IoU.windowpane": 0.5591, "IoU.grass": 0.6549, "IoU.cabinet": 0.5427, "IoU.sidewalk": 0.5834, "IoU.person": 0.7491, "IoU.earth": 0.3463, "IoU.door": 0.4077, "IoU.table": 0.5112, "IoU.mountain": 0.6093, "IoU.plant": 0.5008, "IoU.curtain": 0.6639, "IoU.chair": 0.4726, "IoU.car": 0.8206, "IoU.water": 0.51, "IoU.painting": 0.6218, "IoU.sofa": 0.5687, "IoU.shelf": 0.4207, "IoU.house": 0.5697, "IoU.sea": 0.515, "IoU.mirror": 0.5376, "IoU.rug": 0.6662, "IoU.field": 0.2835, "IoU.armchair": 0.3012, "IoU.seat": 0.5558, "IoU.fence": 0.4251, "IoU.desk": 0.4239, "IoU.rock": 0.4497, "IoU.wardrobe": 0.4317, "IoU.lamp": 0.5005, "IoU.bathtub": 0.682, "IoU.railing": 0.3565, "IoU.cushion": 0.4747, "IoU.base": 0.2298, "IoU.box": 0.1997, "IoU.column": 0.4124, "IoU.signboard": 0.3161, "IoU.chest of drawers": 0.326, "IoU.counter": 0.1859, "IoU.sand": 0.3169, "IoU.sink": 0.6013, "IoU.skyscraper": 0.5431, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5858, "IoU.grandstand": 0.3678, "IoU.path": 0.1687, "IoU.stairs": 0.2698, "IoU.runway": 0.6987, "IoU.case": 0.4954, "IoU.pool table": 0.8598, "IoU.pillow": 0.5009, "IoU.screen door": 0.5793, "IoU.stairway": 0.2975, "IoU.river": 0.1682, "IoU.bridge": 0.6299, "IoU.bookcase": 0.4116, "IoU.blind": NaN, "IoU.coffee table": 0.4602, "IoU.toilet": 0.7057, "IoU.flower": 0.2735, "IoU.book": 0.4349, "IoU.hill": 0.1013, "IoU.bench": 0.3673, "IoU.countertop": 0.4597, "IoU.stove": 0.561, "IoU.palm": 0.4299, "IoU.kitchen island": 0.2624, "IoU.computer": 0.6927, "IoU.swivel chair": 0.3834, "IoU.boat": 0.5532, "IoU.bar": 0.4889, "IoU.arcade machine": 0.7495, "IoU.hovel": 0.3625, "IoU.bus": 0.795, "IoU.towel": 0.5396, "IoU.light": 0.358, "IoU.truck": 0.3054, "IoU.tower": 0.3756, "IoU.chandelier": 0.5697, "IoU.awning": 0.231, "IoU.streetlight": 0.1221, "IoU.booth": 0.4519, "IoU.television receiver": NaN, "IoU.airplane": 0.528, "IoU.dirt track": 0.0115, "IoU.apparel": 0.285, "IoU.pole": 0.0993, "IoU.land": 0.0047, "IoU.bannister": 0.0655, "IoU.escalator": 0.2554, "IoU.ottoman": 0.2367, "IoU.bottle": NaN, "IoU.buffet": 0.415, "IoU.poster": 0.151, "IoU.stage": 0.1205, "IoU.van": 0.339, "IoU.ship": 0.7783, "IoU.fountain": 0.2694, "IoU.conveyer belt": 0.6499, "IoU.canopy": 0.3654, "IoU.washer": 0.738, "IoU.plaything": 0.1788, "IoU.swimming pool": 0.626, "IoU.stool": 0.1186, "IoU.barrel": 0.4582, "IoU.basket": 0.2885, "IoU.waterfall": 0.6058, "IoU.tent": 0.8244, "IoU.bag": 0.0771, "IoU.minibike": 0.678, "IoU.cradle": NaN, "IoU.oven": 0.0651, "IoU.ball": 0.4101, "IoU.food": 0.5617, "IoU.step": 0.0702, "IoU.tank": 0.4328, "IoU.trade name": 0.2354, "IoU.microwave": 0.6779, "IoU.pot": 0.458, "IoU.animal": NaN, "IoU.bicycle": 0.5173, "IoU.lake": 0.0, "IoU.dishwasher": 0.3042, "IoU.screen": 0.6038, "IoU.blanket": 0.0175, "IoU.sculpture": 0.425, "IoU.hood": 0.3716, "IoU.sconce": 0.1516, "IoU.vase": 0.1834, "IoU.traffic light": 0.1895, "IoU.tray": 0.0148, "IoU.ashcan": 0.2987, "IoU.fan": 0.4361, "IoU.pier": 0.3244, "IoU.crt screen": 0.0168, "IoU.plate": 0.4978, "IoU.monitor": 0.0937, "IoU.bulletin board": 0.4335, "IoU.shower": 0.0032, "IoU.radiator": 0.5353, "IoU.glass": 0.0752, "IoU.clock": 0.2282, "IoU.flag": 0.2421, "Acc.wall": 0.8358, "Acc.building": 0.9338, "Acc.sky": 0.9718, "Acc.floor": 0.8761, "Acc.tree": 0.8232, "Acc.ceiling": 0.9133, "Acc.road": 0.8575, "Acc.bed ": 0.9411, "Acc.windowpane": 0.7323, "Acc.grass": 0.7378, "Acc.cabinet": 0.6635, "Acc.sidewalk": 0.8353, "Acc.person": 0.8991, "Acc.earth": 0.4618, "Acc.door": 0.5239, "Acc.table": 0.6642, "Acc.mountain": 0.729, "Acc.plant": 0.6466, "Acc.curtain": 0.762, "Acc.chair": 0.6534, "Acc.car": 0.9119, "Acc.water": 0.7179, "Acc.painting": 0.7949, "Acc.sofa": 0.7563, "Acc.shelf": 0.6326, "Acc.house": 0.7281, "Acc.sea": 0.7024, "Acc.mirror": 0.7092, "Acc.rug": 0.7748, "Acc.field": 0.596, "Acc.armchair": 0.4642, "Acc.seat": 0.7492, "Acc.fence": 0.5565, "Acc.desk": 0.6316, "Acc.rock": 0.7816, "Acc.wardrobe": 0.7368, "Acc.lamp": 0.6533, "Acc.bathtub": 0.7557, "Acc.railing": 0.4635, "Acc.cushion": 0.6438, "Acc.base": 0.3885, "Acc.box": 0.2378, "Acc.column": 0.6095, "Acc.signboard": 0.4191, "Acc.chest of drawers": 0.4193, "Acc.counter": 0.2503, "Acc.sand": 0.5372, "Acc.sink": 0.743, "Acc.skyscraper": 0.7719, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8305, "Acc.grandstand": 0.711, "Acc.path": 0.2138, "Acc.stairs": 0.3154, "Acc.runway": 0.9342, "Acc.case": 0.7219, "Acc.pool table": 0.9651, "Acc.pillow": 0.6377, "Acc.screen door": 0.772, "Acc.stairway": 0.4734, "Acc.river": 0.3495, "Acc.bridge": 0.7936, "Acc.bookcase": 0.5916, "Acc.blind": NaN, "Acc.coffee table": 0.7963, "Acc.toilet": 0.8188, "Acc.flower": 0.3999, "Acc.book": 0.5873, "Acc.hill": 0.1224, "Acc.bench": 0.4802, "Acc.countertop": 0.5812, "Acc.stove": 0.7095, "Acc.palm": 0.6957, "Acc.kitchen island": 0.3528, "Acc.computer": 0.8963, "Acc.swivel chair": 0.6191, "Acc.boat": 0.718, "Acc.bar": 0.6505, "Acc.arcade machine": 0.86, "Acc.hovel": 0.4609, "Acc.bus": 0.903, "Acc.towel": 0.6734, "Acc.light": 0.392, "Acc.truck": 0.4091, "Acc.tower": 0.6298, "Acc.chandelier": 0.7237, "Acc.awning": 0.2864, "Acc.streetlight": 0.1386, "Acc.booth": 0.607, "Acc.television receiver": NaN, "Acc.airplane": 0.627, "Acc.dirt track": 0.016, "Acc.apparel": 0.4852, "Acc.pole": 0.1298, "Acc.land": 0.0086, "Acc.bannister": 0.0846, "Acc.escalator": 0.3806, "Acc.ottoman": 0.3419, "Acc.bottle": NaN, "Acc.buffet": 0.4915, "Acc.poster": 0.2096, "Acc.stage": 0.2133, "Acc.van": 0.5072, "Acc.ship": 0.9379, "Acc.fountain": 0.2867, "Acc.conveyer belt": 0.9401, "Acc.canopy": 0.5455, "Acc.washer": 0.7991, "Acc.plaything": 0.242, "Acc.swimming pool": 0.9047, "Acc.stool": 0.1363, "Acc.barrel": 0.8096, "Acc.basket": 0.416, "Acc.waterfall": 0.9615, "Acc.tent": 0.9884, "Acc.bag": 0.0828, "Acc.minibike": 0.8801, "Acc.cradle": NaN, "Acc.oven": 0.0952, "Acc.ball": 0.5916, "Acc.food": 0.616, "Acc.step": 0.0992, "Acc.tank": 0.5595, "Acc.trade name": 0.2653, "Acc.microwave": 0.7879, "Acc.pot": 0.5003, "Acc.animal": NaN, "Acc.bicycle": 0.7508, "Acc.lake": 0.0, "Acc.dishwasher": 0.3759, "Acc.screen": 0.8806, "Acc.blanket": 0.0201, "Acc.sculpture": 0.5235, "Acc.hood": 0.4313, "Acc.sconce": 0.1616, "Acc.vase": 0.2838, "Acc.traffic light": 0.3701, "Acc.tray": 0.0177, "Acc.ashcan": 0.4634, "Acc.fan": 0.5822, "Acc.pier": 0.3929, "Acc.crt screen": 0.0385, "Acc.plate": 0.632, "Acc.monitor": 0.1416, "Acc.bulletin board": 0.5645, "Acc.shower": 0.0032, "Acc.radiator": 0.7392, "Acc.glass": 0.0778, "Acc.clock": 0.2834, "Acc.flag": 0.2678} +{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 22752, "data_time": 3.67793, "decode.loss_seg": 0.47397, "decode.acc_seg": 65.77852, "aux.loss_seg": 0.21224, "aux.acc_seg": 64.75674, "loss": 0.68621, "time": 4.33714} +{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.49659, "decode.acc_seg": 64.85023, "aux.loss_seg": 0.21923, "aux.acc_seg": 63.77217, "loss": 0.71581, "time": 0.65837} +{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.47105, "decode.acc_seg": 66.36809, "aux.loss_seg": 0.21304, "aux.acc_seg": 65.02757, "loss": 0.68408, "time": 0.67492} +{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.45669, "decode.acc_seg": 66.29655, "aux.loss_seg": 0.20417, "aux.acc_seg": 65.23448, "loss": 0.66086, "time": 0.66935} +{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.4786, "decode.acc_seg": 67.4598, "aux.loss_seg": 0.21506, "aux.acc_seg": 66.35745, "loss": 0.69367, "time": 0.6827} +{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.47234, "decode.acc_seg": 66.08035, "aux.loss_seg": 0.21282, "aux.acc_seg": 64.86176, "loss": 0.68516, "time": 0.66584} +{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.44522, "decode.acc_seg": 66.02044, "aux.loss_seg": 0.19954, "aux.acc_seg": 64.97479, "loss": 0.64477, "time": 0.67658} +{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.47424, "decode.acc_seg": 66.6651, "aux.loss_seg": 0.20954, "aux.acc_seg": 65.73112, "loss": 0.68378, "time": 0.67494} +{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 22752, "data_time": 0.23472, "decode.loss_seg": 0.48775, "decode.acc_seg": 68.27363, "aux.loss_seg": 0.21747, "aux.acc_seg": 66.94944, "loss": 0.70522, "time": 0.88626} +{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.42633, "decode.acc_seg": 66.87675, "aux.loss_seg": 0.19294, "aux.acc_seg": 65.6847, "loss": 0.61927, "time": 0.66272} +{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.44132, "decode.acc_seg": 67.77307, "aux.loss_seg": 0.20216, "aux.acc_seg": 66.40412, "loss": 0.64349, "time": 0.67561} +{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.45233, "decode.acc_seg": 66.67478, "aux.loss_seg": 0.20493, "aux.acc_seg": 65.4609, "loss": 0.65725, "time": 0.66425} +{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.45172, "decode.acc_seg": 68.20724, "aux.loss_seg": 0.20311, "aux.acc_seg": 67.00777, "loss": 0.65483, "time": 0.67752} +{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.44982, "decode.acc_seg": 67.1711, "aux.loss_seg": 0.20457, "aux.acc_seg": 66.05605, "loss": 0.6544, "time": 0.66634} +{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 22752, "data_time": 0.00792, "decode.loss_seg": 0.4682, "decode.acc_seg": 67.62456, "aux.loss_seg": 0.2138, "aux.acc_seg": 66.3598, "loss": 0.682, "time": 0.67181} +{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.46895, "decode.acc_seg": 66.29716, "aux.loss_seg": 0.21379, "aux.acc_seg": 65.18924, "loss": 0.68274, "time": 0.67065} +{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.43804, "decode.acc_seg": 65.54206, "aux.loss_seg": 0.19921, "aux.acc_seg": 64.28356, "loss": 0.63725, "time": 0.6716} +{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.42875, "decode.acc_seg": 69.01509, "aux.loss_seg": 0.19652, "aux.acc_seg": 67.83626, "loss": 0.62527, "time": 0.66691} +{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.43572, "decode.acc_seg": 66.61687, "aux.loss_seg": 0.19655, "aux.acc_seg": 65.37408, "loss": 0.63226, "time": 0.64359} +{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.47934, "decode.acc_seg": 66.02202, "aux.loss_seg": 0.21397, "aux.acc_seg": 64.98888, "loss": 0.69331, "time": 0.66576} +{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.46806, "decode.acc_seg": 65.618, "aux.loss_seg": 0.209, "aux.acc_seg": 64.58172, "loss": 0.67706, "time": 0.63951} +{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.46462, "decode.acc_seg": 66.92485, "aux.loss_seg": 0.21095, "aux.acc_seg": 65.80126, "loss": 0.67557, "time": 0.64713} +{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.44592, "decode.acc_seg": 66.95825, "aux.loss_seg": 0.20429, "aux.acc_seg": 65.61392, "loss": 0.65021, "time": 0.65736} +{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.43042, "decode.acc_seg": 68.00106, "aux.loss_seg": 0.1998, "aux.acc_seg": 66.60305, "loss": 0.63022, "time": 0.67261} +{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.46724, "decode.acc_seg": 65.73822, "aux.loss_seg": 0.21106, "aux.acc_seg": 64.39222, "loss": 0.6783, "time": 0.66878} +{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.4799, "decode.acc_seg": 66.58877, "aux.loss_seg": 0.21566, "aux.acc_seg": 65.66647, "loss": 0.69556, "time": 0.6678} +{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.46055, "decode.acc_seg": 66.31261, "aux.loss_seg": 0.20586, "aux.acc_seg": 65.38268, "loss": 0.6664, "time": 0.66794} +{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.45896, "decode.acc_seg": 66.6358, "aux.loss_seg": 0.2047, "aux.acc_seg": 65.65804, "loss": 0.66366, "time": 0.65206} +{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.47734, "decode.acc_seg": 67.66593, "aux.loss_seg": 0.2153, "aux.acc_seg": 66.57738, "loss": 0.69265, "time": 0.65651} +{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.46504, "decode.acc_seg": 67.18236, "aux.loss_seg": 0.21134, "aux.acc_seg": 65.6746, "loss": 0.67637, "time": 0.67196} +{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.45545, "decode.acc_seg": 67.64556, "aux.loss_seg": 0.20423, "aux.acc_seg": 66.42544, "loss": 0.65968, "time": 0.67121} +{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.47549, "decode.acc_seg": 66.62813, "aux.loss_seg": 0.21385, "aux.acc_seg": 65.52806, "loss": 0.68934, "time": 0.64933} +{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.44626, "decode.acc_seg": 67.93867, "aux.loss_seg": 0.20146, "aux.acc_seg": 66.99799, "loss": 0.64772, "time": 0.65383} +{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 22752, "data_time": 0.22978, "decode.loss_seg": 0.49192, "decode.acc_seg": 67.229, "aux.loss_seg": 0.21668, "aux.acc_seg": 66.34349, "loss": 0.7086, "time": 0.88243} +{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.45323, "decode.acc_seg": 66.24299, "aux.loss_seg": 0.20338, "aux.acc_seg": 65.12216, "loss": 0.65661, "time": 0.6527} +{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.43339, "decode.acc_seg": 67.64337, "aux.loss_seg": 0.1998, "aux.acc_seg": 66.29073, "loss": 0.63319, "time": 0.65713} +{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.43571, "decode.acc_seg": 66.49051, "aux.loss_seg": 0.1968, "aux.acc_seg": 65.31674, "loss": 0.63251, "time": 0.65207} +{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.43261, "decode.acc_seg": 66.65521, "aux.loss_seg": 0.19613, "aux.acc_seg": 65.39693, "loss": 0.62874, "time": 0.64148} +{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.44513, "decode.acc_seg": 67.00392, "aux.loss_seg": 0.20284, "aux.acc_seg": 65.91718, "loss": 0.64797, "time": 0.6666} +{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.4387, "decode.acc_seg": 68.41509, "aux.loss_seg": 0.19489, "aux.acc_seg": 67.54268, "loss": 0.63359, "time": 0.66703} +{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.45146, "decode.acc_seg": 68.05331, "aux.loss_seg": 0.20306, "aux.acc_seg": 66.83035, "loss": 0.65452, "time": 0.67334} +{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.44274, "decode.acc_seg": 66.32686, "aux.loss_seg": 0.20007, "aux.acc_seg": 65.28512, "loss": 0.64282, "time": 0.64355} +{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.44799, "decode.acc_seg": 66.69285, "aux.loss_seg": 0.2023, "aux.acc_seg": 65.60535, "loss": 0.65029, "time": 0.65584} +{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.45381, "decode.acc_seg": 67.17867, "aux.loss_seg": 0.20454, "aux.acc_seg": 66.08174, "loss": 0.65836, "time": 0.66825} +{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.42366, "decode.acc_seg": 68.38829, "aux.loss_seg": 0.19216, "aux.acc_seg": 67.33863, "loss": 0.61582, "time": 0.6512} +{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.42825, "decode.acc_seg": 68.62881, "aux.loss_seg": 0.19387, "aux.acc_seg": 67.56397, "loss": 0.62212, "time": 0.66646} +{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 22752, "data_time": 0.00786, "decode.loss_seg": 0.4829, "decode.acc_seg": 66.92202, "aux.loss_seg": 0.21589, "aux.acc_seg": 65.83431, "loss": 0.69879, "time": 0.6706} +{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.42243, "decode.acc_seg": 68.41782, "aux.loss_seg": 0.19347, "aux.acc_seg": 67.25248, "loss": 0.6159, "time": 0.65321} +{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.41461, "decode.acc_seg": 68.47923, "aux.loss_seg": 0.18835, "aux.acc_seg": 67.33358, "loss": 0.60295, "time": 0.67506} +{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.44463, "decode.acc_seg": 65.99954, "aux.loss_seg": 0.20019, "aux.acc_seg": 64.84636, "loss": 0.64482, "time": 0.68294} +{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.43382, "decode.acc_seg": 67.62237, "aux.loss_seg": 0.1967, "aux.acc_seg": 66.28131, "loss": 0.63052, "time": 0.6571} +{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.46032, "decode.acc_seg": 66.21384, "aux.loss_seg": 0.20508, "aux.acc_seg": 64.95358, "loss": 0.6654, "time": 0.65475} +{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.43383, "decode.acc_seg": 67.9509, "aux.loss_seg": 0.19667, "aux.acc_seg": 66.72264, "loss": 0.6305, "time": 0.67303} +{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.46774, "decode.acc_seg": 67.80557, "aux.loss_seg": 0.21279, "aux.acc_seg": 66.64398, "loss": 0.68053, "time": 0.67435} +{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.41855, "decode.acc_seg": 67.29106, "aux.loss_seg": 0.19273, "aux.acc_seg": 66.02154, "loss": 0.61128, "time": 0.65782} +{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.45245, "decode.acc_seg": 67.63982, "aux.loss_seg": 0.20602, "aux.acc_seg": 66.44492, "loss": 0.65847, "time": 0.65145} +{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.44919, "decode.acc_seg": 67.25482, "aux.loss_seg": 0.20082, "aux.acc_seg": 66.05053, "loss": 0.65001, "time": 0.67113} +{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.45539, "decode.acc_seg": 66.07074, "aux.loss_seg": 0.20562, "aux.acc_seg": 64.79465, "loss": 0.66101, "time": 0.66375} +{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 22752, "data_time": 0.22756, "decode.loss_seg": 0.44253, "decode.acc_seg": 66.53647, "aux.loss_seg": 0.19807, "aux.acc_seg": 65.47046, "loss": 0.6406, "time": 0.8727} +{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.43281, "decode.acc_seg": 67.64769, "aux.loss_seg": 0.19774, "aux.acc_seg": 66.54325, "loss": 0.63054, "time": 0.65053} +{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.45277, "decode.acc_seg": 66.94831, "aux.loss_seg": 0.20667, "aux.acc_seg": 65.59871, "loss": 0.65945, "time": 0.67699} +{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.42718, "decode.acc_seg": 68.25456, "aux.loss_seg": 0.19581, "aux.acc_seg": 66.87306, "loss": 0.62299, "time": 0.67266} +{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.42395, "decode.acc_seg": 67.31438, "aux.loss_seg": 0.19083, "aux.acc_seg": 66.23636, "loss": 0.61478, "time": 0.67106} +{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.4279, "decode.acc_seg": 68.43101, "aux.loss_seg": 0.19796, "aux.acc_seg": 67.11415, "loss": 0.62587, "time": 0.66303} +{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.44941, "decode.acc_seg": 67.60717, "aux.loss_seg": 0.20337, "aux.acc_seg": 66.22702, "loss": 0.65278, "time": 0.67162} +{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.41858, "decode.acc_seg": 66.63121, "aux.loss_seg": 0.19033, "aux.acc_seg": 65.20056, "loss": 0.60891, "time": 0.6634} +{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.42275, "decode.acc_seg": 68.10592, "aux.loss_seg": 0.19322, "aux.acc_seg": 67.03442, "loss": 0.61597, "time": 0.66933} +{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.44213, "decode.acc_seg": 67.12392, "aux.loss_seg": 0.19981, "aux.acc_seg": 65.90903, "loss": 0.64193, "time": 0.66114} +{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.44196, "decode.acc_seg": 67.92648, "aux.loss_seg": 0.19779, "aux.acc_seg": 67.0386, "loss": 0.63976, "time": 0.64515} +{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.44839, "decode.acc_seg": 67.03304, "aux.loss_seg": 0.20016, "aux.acc_seg": 65.85082, "loss": 0.64855, "time": 0.65776} +{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.43718, "decode.acc_seg": 67.07075, "aux.loss_seg": 0.20027, "aux.acc_seg": 65.8067, "loss": 0.63745, "time": 0.65688} +{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.42571, "decode.acc_seg": 68.44443, "aux.loss_seg": 0.19271, "aux.acc_seg": 67.25344, "loss": 0.61842, "time": 0.66369} +{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 22752, "data_time": 0.00799, "decode.loss_seg": 0.43549, "decode.acc_seg": 67.17384, "aux.loss_seg": 0.19765, "aux.acc_seg": 66.03138, "loss": 0.63314, "time": 0.66883} +{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.43821, "decode.acc_seg": 66.49797, "aux.loss_seg": 0.20013, "aux.acc_seg": 65.2365, "loss": 0.63834, "time": 0.66644} +{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.4102, "decode.acc_seg": 67.30953, "aux.loss_seg": 0.1852, "aux.acc_seg": 66.29324, "loss": 0.59539, "time": 0.66757} +{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.44325, "decode.acc_seg": 66.9721, "aux.loss_seg": 0.20076, "aux.acc_seg": 65.61035, "loss": 0.64401, "time": 0.66896} +{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.4371, "decode.acc_seg": 67.03016, "aux.loss_seg": 0.20011, "aux.acc_seg": 65.84434, "loss": 0.63721, "time": 0.66114} +{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 22752, "data_time": 0.00784, "decode.loss_seg": 0.43619, "decode.acc_seg": 66.57736, "aux.loss_seg": 0.19596, "aux.acc_seg": 65.54073, "loss": 0.63215, "time": 0.66348} +{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.43112, "decode.acc_seg": 68.37314, "aux.loss_seg": 0.19474, "aux.acc_seg": 67.25329, "loss": 0.62586, "time": 0.66422} +{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.43929, "decode.acc_seg": 67.96269, "aux.loss_seg": 0.19912, "aux.acc_seg": 66.88895, "loss": 0.63841, "time": 0.67218} +{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.445, "decode.acc_seg": 68.77194, "aux.loss_seg": 0.19922, "aux.acc_seg": 67.7808, "loss": 0.64422, "time": 0.65648} +{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.44094, "decode.acc_seg": 67.30614, "aux.loss_seg": 0.19995, "aux.acc_seg": 66.16242, "loss": 0.64089, "time": 0.66056} +{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.42543, "decode.acc_seg": 68.34306, "aux.loss_seg": 0.18736, "aux.acc_seg": 67.65447, "loss": 0.61279, "time": 0.6563} +{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.43206, "decode.acc_seg": 67.3437, "aux.loss_seg": 0.19554, "aux.acc_seg": 66.12019, "loss": 0.62761, "time": 0.66835} +{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 22752, "data_time": 0.23021, "decode.loss_seg": 0.42244, "decode.acc_seg": 67.32111, "aux.loss_seg": 0.19218, "aux.acc_seg": 66.37821, "loss": 0.61463, "time": 0.88908} +{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.42448, "decode.acc_seg": 68.6058, "aux.loss_seg": 0.19562, "aux.acc_seg": 67.15283, "loss": 0.62011, "time": 0.67132} +{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.45512, "decode.acc_seg": 67.3089, "aux.loss_seg": 0.20129, "aux.acc_seg": 66.35688, "loss": 0.65641, "time": 0.67047} +{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.4124, "decode.acc_seg": 67.26878, "aux.loss_seg": 0.18749, "aux.acc_seg": 66.17885, "loss": 0.59989, "time": 0.65689} +{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.41022, "decode.acc_seg": 67.88691, "aux.loss_seg": 0.18658, "aux.acc_seg": 66.67889, "loss": 0.5968, "time": 0.66781} +{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.4193, "decode.acc_seg": 67.20413, "aux.loss_seg": 0.19054, "aux.acc_seg": 65.81194, "loss": 0.60984, "time": 0.67041} +{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 22752, "data_time": 0.00832, "decode.loss_seg": 0.40545, "decode.acc_seg": 68.433, "aux.loss_seg": 0.18511, "aux.acc_seg": 67.27635, "loss": 0.59056, "time": 0.6362} +{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.41756, "decode.acc_seg": 67.40485, "aux.loss_seg": 0.19088, "aux.acc_seg": 66.32506, "loss": 0.60844, "time": 0.67184} +{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.4211, "decode.acc_seg": 69.08293, "aux.loss_seg": 0.1907, "aux.acc_seg": 68.04025, "loss": 0.6118, "time": 0.65816} +{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.40096, "decode.acc_seg": 68.34763, "aux.loss_seg": 0.1824, "aux.acc_seg": 67.3987, "loss": 0.58336, "time": 0.66875} +{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.4337, "decode.acc_seg": 67.83972, "aux.loss_seg": 0.19486, "aux.acc_seg": 67.01572, "loss": 0.62856, "time": 0.6642} +{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.43386, "decode.acc_seg": 67.95522, "aux.loss_seg": 0.19975, "aux.acc_seg": 66.703, "loss": 0.63361, "time": 0.67828} +{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.43073, "decode.acc_seg": 68.15882, "aux.loss_seg": 0.1978, "aux.acc_seg": 66.80439, "loss": 0.62852, "time": 0.66042} +{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.40748, "decode.acc_seg": 67.58045, "aux.loss_seg": 0.18294, "aux.acc_seg": 66.62142, "loss": 0.59042, "time": 0.67732} +{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.43444, "decode.acc_seg": 67.95281, "aux.loss_seg": 0.19719, "aux.acc_seg": 66.90502, "loss": 0.63162, "time": 0.66198} +{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.41896, "decode.acc_seg": 65.76772, "aux.loss_seg": 0.19085, "aux.acc_seg": 64.67501, "loss": 0.60981, "time": 0.66591} +{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.43143, "decode.acc_seg": 68.68383, "aux.loss_seg": 0.19703, "aux.acc_seg": 67.31122, "loss": 0.62846, "time": 0.65143} +{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.42975, "decode.acc_seg": 68.28188, "aux.loss_seg": 0.19585, "aux.acc_seg": 67.1137, "loss": 0.6256, "time": 0.66676} +{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.42855, "decode.acc_seg": 67.87585, "aux.loss_seg": 0.19344, "aux.acc_seg": 66.937, "loss": 0.62199, "time": 0.67115} +{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.38916, "decode.acc_seg": 68.63358, "aux.loss_seg": 0.17668, "aux.acc_seg": 67.65033, "loss": 0.56584, "time": 0.67053} +{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.42369, "decode.acc_seg": 67.4556, "aux.loss_seg": 0.19393, "aux.acc_seg": 66.14685, "loss": 0.61762, "time": 0.6544} +{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.46519, "decode.acc_seg": 66.37777, "aux.loss_seg": 0.20567, "aux.acc_seg": 65.29302, "loss": 0.67087, "time": 0.67139} +{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.4313, "decode.acc_seg": 68.06479, "aux.loss_seg": 0.189, "aux.acc_seg": 67.36105, "loss": 0.6203, "time": 0.66866} +{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.42914, "decode.acc_seg": 67.44202, "aux.loss_seg": 0.19349, "aux.acc_seg": 66.36118, "loss": 0.62262, "time": 0.64477} +{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.41576, "decode.acc_seg": 68.10245, "aux.loss_seg": 0.18803, "aux.acc_seg": 66.91971, "loss": 0.60379, "time": 0.67456} +{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 22752, "data_time": 0.22774, "decode.loss_seg": 0.43062, "decode.acc_seg": 67.43105, "aux.loss_seg": 0.19632, "aux.acc_seg": 66.11488, "loss": 0.62694, "time": 0.88148} +{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.42612, "decode.acc_seg": 66.61943, "aux.loss_seg": 0.19082, "aux.acc_seg": 65.48495, "loss": 0.61694, "time": 0.65731} +{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.42848, "decode.acc_seg": 69.76579, "aux.loss_seg": 0.19717, "aux.acc_seg": 68.28638, "loss": 0.62564, "time": 0.66662} +{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.40621, "decode.acc_seg": 67.4806, "aux.loss_seg": 0.18604, "aux.acc_seg": 66.1684, "loss": 0.59225, "time": 0.66096} +{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.42793, "decode.acc_seg": 69.10175, "aux.loss_seg": 0.19347, "aux.acc_seg": 67.79368, "loss": 0.6214, "time": 0.65363} +{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 22752, "data_time": 0.0079, "decode.loss_seg": 0.39535, "decode.acc_seg": 69.05933, "aux.loss_seg": 0.18065, "aux.acc_seg": 68.12337, "loss": 0.576, "time": 0.65719} +{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.41376, "decode.acc_seg": 68.49873, "aux.loss_seg": 0.18774, "aux.acc_seg": 67.24248, "loss": 0.6015, "time": 0.66772} +{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.42448, "decode.acc_seg": 67.47444, "aux.loss_seg": 0.19228, "aux.acc_seg": 66.182, "loss": 0.61676, "time": 0.66743} +{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.40039, "decode.acc_seg": 69.33149, "aux.loss_seg": 0.18213, "aux.acc_seg": 68.23845, "loss": 0.58252, "time": 0.64825} +{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.37638, "decode.acc_seg": 68.55354, "aux.loss_seg": 0.1743, "aux.acc_seg": 67.17851, "loss": 0.55068, "time": 0.64714} +{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.41784, "decode.acc_seg": 69.63167, "aux.loss_seg": 0.19176, "aux.acc_seg": 68.4865, "loss": 0.6096, "time": 0.64437} +{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.41298, "decode.acc_seg": 68.1134, "aux.loss_seg": 0.18637, "aux.acc_seg": 67.17945, "loss": 0.59935, "time": 0.6648} +{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.42252, "decode.acc_seg": 66.81399, "aux.loss_seg": 0.19053, "aux.acc_seg": 65.8532, "loss": 0.61306, "time": 0.66642} +{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.40875, "decode.acc_seg": 68.75436, "aux.loss_seg": 0.18686, "aux.acc_seg": 67.51535, "loss": 0.59561, "time": 0.67264} +{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.39608, "decode.acc_seg": 69.60861, "aux.loss_seg": 0.18047, "aux.acc_seg": 68.32592, "loss": 0.57655, "time": 0.64352} +{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.40824, "decode.acc_seg": 67.42786, "aux.loss_seg": 0.18715, "aux.acc_seg": 66.34131, "loss": 0.5954, "time": 0.65947} +{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.39431, "decode.acc_seg": 67.87318, "aux.loss_seg": 0.17706, "aux.acc_seg": 67.00115, "loss": 0.57137, "time": 0.6654} +{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.40248, "decode.acc_seg": 67.6018, "aux.loss_seg": 0.18137, "aux.acc_seg": 66.51739, "loss": 0.58385, "time": 0.66713} +{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.44355, "decode.acc_seg": 67.03197, "aux.loss_seg": 0.19973, "aux.acc_seg": 65.85274, "loss": 0.64328, "time": 0.66275} +{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.43845, "decode.acc_seg": 66.34057, "aux.loss_seg": 0.19797, "aux.acc_seg": 65.22795, "loss": 0.63643, "time": 0.66699} +{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.4085, "decode.acc_seg": 67.15931, "aux.loss_seg": 0.18271, "aux.acc_seg": 65.99877, "loss": 0.59121, "time": 0.67144} +{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.41824, "decode.acc_seg": 67.63976, "aux.loss_seg": 0.19035, "aux.acc_seg": 66.4236, "loss": 0.60859, "time": 0.64773} +{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.40751, "decode.acc_seg": 69.17956, "aux.loss_seg": 0.18534, "aux.acc_seg": 67.78866, "loss": 0.59285, "time": 0.63938} +{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.41535, "decode.acc_seg": 67.69333, "aux.loss_seg": 0.18703, "aux.acc_seg": 66.75409, "loss": 0.60238, "time": 0.65435} +{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.40751, "decode.acc_seg": 68.16923, "aux.loss_seg": 0.18565, "aux.acc_seg": 67.10197, "loss": 0.59316, "time": 0.6436} +{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 22752, "data_time": 0.23046, "decode.loss_seg": 0.39767, "decode.acc_seg": 68.96958, "aux.loss_seg": 0.18157, "aux.acc_seg": 67.84101, "loss": 0.57923, "time": 0.86168} +{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.39514, "decode.acc_seg": 69.07723, "aux.loss_seg": 0.18088, "aux.acc_seg": 67.74058, "loss": 0.57602, "time": 0.67497} +{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.3971, "decode.acc_seg": 68.55206, "aux.loss_seg": 0.18318, "aux.acc_seg": 67.3173, "loss": 0.58028, "time": 0.64804} +{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.38923, "decode.acc_seg": 68.03273, "aux.loss_seg": 0.18008, "aux.acc_seg": 66.63502, "loss": 0.56931, "time": 0.67574} +{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.3842, "decode.acc_seg": 68.22488, "aux.loss_seg": 0.1777, "aux.acc_seg": 67.03959, "loss": 0.5619, "time": 0.67414} +{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.36669, "decode.acc_seg": 68.3412, "aux.loss_seg": 0.16932, "aux.acc_seg": 66.98839, "loss": 0.53601, "time": 0.65738} +{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.41121, "decode.acc_seg": 67.98898, "aux.loss_seg": 0.19015, "aux.acc_seg": 66.74143, "loss": 0.60136, "time": 0.67259} +{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.41059, "decode.acc_seg": 67.61087, "aux.loss_seg": 0.18697, "aux.acc_seg": 66.40618, "loss": 0.59756, "time": 0.66852} +{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.4306, "decode.acc_seg": 67.66643, "aux.loss_seg": 0.19611, "aux.acc_seg": 66.45673, "loss": 0.62671, "time": 0.65185} +{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.40246, "decode.acc_seg": 69.34501, "aux.loss_seg": 0.18204, "aux.acc_seg": 68.23584, "loss": 0.5845, "time": 0.66978} +{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.41052, "decode.acc_seg": 68.1016, "aux.loss_seg": 0.18864, "aux.acc_seg": 66.81638, "loss": 0.59916, "time": 0.65908} +{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.37267, "decode.acc_seg": 66.68425, "aux.loss_seg": 0.17098, "aux.acc_seg": 65.52384, "loss": 0.54365, "time": 0.66443} +{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.40995, "decode.acc_seg": 68.58732, "aux.loss_seg": 0.18509, "aux.acc_seg": 67.62925, "loss": 0.59504, "time": 0.67408} +{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.38523, "decode.acc_seg": 70.53031, "aux.loss_seg": 0.17747, "aux.acc_seg": 69.1214, "loss": 0.56269, "time": 0.66116} +{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.40702, "decode.acc_seg": 69.90244, "aux.loss_seg": 0.1859, "aux.acc_seg": 68.73852, "loss": 0.59293, "time": 0.66744} +{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.40138, "decode.acc_seg": 68.98239, "aux.loss_seg": 0.18242, "aux.acc_seg": 67.86023, "loss": 0.58381, "time": 0.65683} +{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.40021, "decode.acc_seg": 68.45473, "aux.loss_seg": 0.18577, "aux.acc_seg": 67.11771, "loss": 0.58597, "time": 0.63859} +{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.40906, "decode.acc_seg": 68.83314, "aux.loss_seg": 0.18621, "aux.acc_seg": 67.89164, "loss": 0.59527, "time": 0.65128} +{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.3792, "decode.acc_seg": 68.2075, "aux.loss_seg": 0.17302, "aux.acc_seg": 67.11341, "loss": 0.55222, "time": 0.66644} +{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.39447, "decode.acc_seg": 67.04995, "aux.loss_seg": 0.17803, "aux.acc_seg": 65.88127, "loss": 0.57249, "time": 0.66656} +{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.38955, "decode.acc_seg": 68.36978, "aux.loss_seg": 0.18163, "aux.acc_seg": 67.0459, "loss": 0.57118, "time": 0.66821} +{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.4061, "decode.acc_seg": 69.02542, "aux.loss_seg": 0.18528, "aux.acc_seg": 67.66712, "loss": 0.59137, "time": 0.65246} +{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.38798, "decode.acc_seg": 69.08886, "aux.loss_seg": 0.17769, "aux.acc_seg": 67.88198, "loss": 0.56567, "time": 0.673} +{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.38854, "decode.acc_seg": 69.34144, "aux.loss_seg": 0.17929, "aux.acc_seg": 68.07105, "loss": 0.56783, "time": 0.67322} +{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.40173, "decode.acc_seg": 68.72171, "aux.loss_seg": 0.1834, "aux.acc_seg": 67.57743, "loss": 0.58513, "time": 0.66361} +{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 22752, "data_time": 0.23139, "decode.loss_seg": 0.3778, "decode.acc_seg": 68.36308, "aux.loss_seg": 0.17649, "aux.acc_seg": 67.18903, "loss": 0.55428, "time": 0.88669} +{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.39144, "decode.acc_seg": 68.95793, "aux.loss_seg": 0.17732, "aux.acc_seg": 67.84698, "loss": 0.56877, "time": 0.65989} +{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.41508, "decode.acc_seg": 68.45707, "aux.loss_seg": 0.18888, "aux.acc_seg": 67.38906, "loss": 0.60396, "time": 0.67716} +{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.40023, "decode.acc_seg": 68.6368, "aux.loss_seg": 0.18359, "aux.acc_seg": 67.63638, "loss": 0.58382, "time": 0.66869} +{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.39964, "decode.acc_seg": 68.25799, "aux.loss_seg": 0.18381, "aux.acc_seg": 66.84695, "loss": 0.58345, "time": 0.6649} +{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.37612, "decode.acc_seg": 68.45225, "aux.loss_seg": 0.17251, "aux.acc_seg": 67.38561, "loss": 0.54863, "time": 0.66824} +{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.39833, "decode.acc_seg": 68.93303, "aux.loss_seg": 0.18173, "aux.acc_seg": 67.90878, "loss": 0.58006, "time": 0.66986} +{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.39141, "decode.acc_seg": 69.41489, "aux.loss_seg": 0.18216, "aux.acc_seg": 68.16004, "loss": 0.57357, "time": 0.67029} +{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.38011, "decode.acc_seg": 70.36904, "aux.loss_seg": 0.17489, "aux.acc_seg": 69.09791, "loss": 0.555, "time": 0.6665} +{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 22752, "data_time": 0.01076, "decode.loss_seg": 0.40006, "decode.acc_seg": 67.69858, "aux.loss_seg": 0.18405, "aux.acc_seg": 66.46627, "loss": 0.58411, "time": 0.6545} +{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.39801, "decode.acc_seg": 67.90932, "aux.loss_seg": 0.18173, "aux.acc_seg": 66.75969, "loss": 0.57974, "time": 0.65907} +{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.40669, "decode.acc_seg": 68.03277, "aux.loss_seg": 0.18666, "aux.acc_seg": 66.82245, "loss": 0.59335, "time": 0.66777} +{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.41068, "decode.acc_seg": 67.34404, "aux.loss_seg": 0.187, "aux.acc_seg": 66.08585, "loss": 0.59768, "time": 0.6466} +{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.41601, "decode.acc_seg": 66.75374, "aux.loss_seg": 0.1879, "aux.acc_seg": 65.56783, "loss": 0.60392, "time": 0.67015} +{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.38578, "decode.acc_seg": 68.72704, "aux.loss_seg": 0.17828, "aux.acc_seg": 67.40484, "loss": 0.56407, "time": 0.66646} +{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.40707, "decode.acc_seg": 68.77787, "aux.loss_seg": 0.18726, "aux.acc_seg": 67.4114, "loss": 0.59432, "time": 0.66521} +{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 22752, "data_time": 0.01034, "decode.loss_seg": 0.36541, "decode.acc_seg": 67.66821, "aux.loss_seg": 0.16533, "aux.acc_seg": 66.67349, "loss": 0.53073, "time": 0.65718} +{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.39102, "decode.acc_seg": 67.90104, "aux.loss_seg": 0.17657, "aux.acc_seg": 66.75804, "loss": 0.5676, "time": 0.67881} +{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.38001, "decode.acc_seg": 68.53781, "aux.loss_seg": 0.17613, "aux.acc_seg": 67.39933, "loss": 0.55614, "time": 0.67103} +{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.41811, "decode.acc_seg": 68.13731, "aux.loss_seg": 0.19127, "aux.acc_seg": 66.87454, "loss": 0.60938, "time": 0.67359} +{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.42733, "decode.acc_seg": 68.59347, "aux.loss_seg": 0.19233, "aux.acc_seg": 67.38111, "loss": 0.61966, "time": 0.65457} +{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 22752, "data_time": 0.01064, "decode.loss_seg": 0.38459, "decode.acc_seg": 68.65967, "aux.loss_seg": 0.17536, "aux.acc_seg": 67.45369, "loss": 0.55995, "time": 0.654} +{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.37176, "decode.acc_seg": 69.15069, "aux.loss_seg": 0.16906, "aux.acc_seg": 68.13115, "loss": 0.54082, "time": 0.62807} +{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.39065, "decode.acc_seg": 68.48679, "aux.loss_seg": 0.1763, "aux.acc_seg": 67.33878, "loss": 0.56695, "time": 0.65874} +{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.41456, "decode.acc_seg": 69.30857, "aux.loss_seg": 0.18771, "aux.acc_seg": 68.36902, "loss": 0.60227, "time": 0.67213} +{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.39682, "decode.acc_seg": 69.51668, "aux.loss_seg": 0.1815, "aux.acc_seg": 68.18315, "loss": 0.57833, "time": 0.67122} +{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 22752, "data_time": 0.24013, "decode.loss_seg": 0.3761, "decode.acc_seg": 68.00844, "aux.loss_seg": 0.17368, "aux.acc_seg": 66.72816, "loss": 0.54978, "time": 0.88594} +{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.3881, "decode.acc_seg": 69.13204, "aux.loss_seg": 0.17915, "aux.acc_seg": 67.80849, "loss": 0.56725, "time": 0.66525} +{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.35586, "decode.acc_seg": 70.86528, "aux.loss_seg": 0.16716, "aux.acc_seg": 69.42697, "loss": 0.52302, "time": 0.66498} +{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.37935, "decode.acc_seg": 68.45529, "aux.loss_seg": 0.17405, "aux.acc_seg": 67.25638, "loss": 0.55341, "time": 0.67241} +{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.38252, "decode.acc_seg": 66.95477, "aux.loss_seg": 0.17529, "aux.acc_seg": 65.78636, "loss": 0.55781, "time": 0.65448} +{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.3705, "decode.acc_seg": 68.23441, "aux.loss_seg": 0.17083, "aux.acc_seg": 66.99254, "loss": 0.54133, "time": 0.64477} +{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.3844, "decode.acc_seg": 69.95689, "aux.loss_seg": 0.18054, "aux.acc_seg": 68.41152, "loss": 0.56494, "time": 0.6708} +{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.37717, "decode.acc_seg": 69.01724, "aux.loss_seg": 0.17558, "aux.acc_seg": 67.87875, "loss": 0.55275, "time": 0.66792} +{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.35778, "decode.acc_seg": 68.30031, "aux.loss_seg": 0.16463, "aux.acc_seg": 67.07973, "loss": 0.52241, "time": 0.66451} +{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.38522, "decode.acc_seg": 68.86603, "aux.loss_seg": 0.17859, "aux.acc_seg": 67.43226, "loss": 0.56381, "time": 0.67438} +{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.37917, "decode.acc_seg": 68.22664, "aux.loss_seg": 0.17553, "aux.acc_seg": 66.89669, "loss": 0.55471, "time": 0.66672} +{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.38061, "decode.acc_seg": 69.75139, "aux.loss_seg": 0.17403, "aux.acc_seg": 68.52843, "loss": 0.55464, "time": 0.65047} +{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 22752, "data_time": 0.00863, "decode.loss_seg": 0.37624, "decode.acc_seg": 70.03792, "aux.loss_seg": 0.17664, "aux.acc_seg": 68.65377, "loss": 0.55287, "time": 0.64323} +{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.36865, "decode.acc_seg": 69.46147, "aux.loss_seg": 0.16837, "aux.acc_seg": 68.35081, "loss": 0.53702, "time": 0.65547} +{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.38034, "decode.acc_seg": 69.74692, "aux.loss_seg": 0.17543, "aux.acc_seg": 68.5692, "loss": 0.55577, "time": 0.67506} +{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.38372, "decode.acc_seg": 70.05872, "aux.loss_seg": 0.17462, "aux.acc_seg": 68.96818, "loss": 0.55835, "time": 0.64727} +{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.40271, "decode.acc_seg": 68.61949, "aux.loss_seg": 0.18365, "aux.acc_seg": 67.48152, "loss": 0.58636, "time": 0.65507} +{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.38344, "decode.acc_seg": 68.2949, "aux.loss_seg": 0.17733, "aux.acc_seg": 67.06113, "loss": 0.56077, "time": 0.64961} +{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.38462, "decode.acc_seg": 67.10347, "aux.loss_seg": 0.17736, "aux.acc_seg": 65.87889, "loss": 0.56197, "time": 0.66785} +{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.40503, "decode.acc_seg": 70.2754, "aux.loss_seg": 0.18347, "aux.acc_seg": 69.22641, "loss": 0.5885, "time": 0.67076} +{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.36609, "decode.acc_seg": 68.63838, "aux.loss_seg": 0.16621, "aux.acc_seg": 67.58166, "loss": 0.5323, "time": 0.67401} +{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.40638, "decode.acc_seg": 69.38402, "aux.loss_seg": 0.18428, "aux.acc_seg": 68.21213, "loss": 0.59065, "time": 0.65334} +{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.37823, "decode.acc_seg": 67.69665, "aux.loss_seg": 0.17356, "aux.acc_seg": 66.38426, "loss": 0.55179, "time": 0.65317} +{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 22752, "data_time": 0.00861, "decode.loss_seg": 0.38402, "decode.acc_seg": 69.09406, "aux.loss_seg": 0.17559, "aux.acc_seg": 68.14595, "loss": 0.55961, "time": 0.65378} +{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.3724, "decode.acc_seg": 67.90003, "aux.loss_seg": 0.17176, "aux.acc_seg": 66.64499, "loss": 0.54416, "time": 0.63957} +{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 22752, "data_time": 0.24273, "decode.loss_seg": 0.3813, "decode.acc_seg": 69.59557, "aux.loss_seg": 0.17456, "aux.acc_seg": 68.4878, "loss": 0.55586, "time": 0.8914} +{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.36714, "decode.acc_seg": 70.14332, "aux.loss_seg": 0.17288, "aux.acc_seg": 68.87941, "loss": 0.54002, "time": 0.66029} +{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.34013, "decode.acc_seg": 69.39609, "aux.loss_seg": 0.16051, "aux.acc_seg": 67.99466, "loss": 0.50064, "time": 0.67143} +{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.36398, "decode.acc_seg": 70.17275, "aux.loss_seg": 0.1657, "aux.acc_seg": 69.06952, "loss": 0.52967, "time": 0.63821} +{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.33588, "decode.acc_seg": 69.06197, "aux.loss_seg": 0.15709, "aux.acc_seg": 67.9272, "loss": 0.49297, "time": 0.64529} +{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.37714, "decode.acc_seg": 68.75441, "aux.loss_seg": 0.17509, "aux.acc_seg": 67.47251, "loss": 0.55223, "time": 0.66695} +{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.38224, "decode.acc_seg": 68.95078, "aux.loss_seg": 0.1744, "aux.acc_seg": 67.86081, "loss": 0.55665, "time": 0.67739} +{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.34088, "decode.acc_seg": 69.54701, "aux.loss_seg": 0.16146, "aux.acc_seg": 68.26989, "loss": 0.50234, "time": 0.66796} +{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.3647, "decode.acc_seg": 69.20033, "aux.loss_seg": 0.16802, "aux.acc_seg": 67.83977, "loss": 0.53272, "time": 0.6556} +{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.36141, "decode.acc_seg": 68.22222, "aux.loss_seg": 0.16959, "aux.acc_seg": 66.7932, "loss": 0.53101, "time": 0.65628} +{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.36511, "decode.acc_seg": 69.50878, "aux.loss_seg": 0.16998, "aux.acc_seg": 68.39207, "loss": 0.53509, "time": 0.67267} +{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.37595, "decode.acc_seg": 69.75822, "aux.loss_seg": 0.17317, "aux.acc_seg": 68.48239, "loss": 0.54912, "time": 0.66985} +{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.3806, "decode.acc_seg": 69.60902, "aux.loss_seg": 0.17319, "aux.acc_seg": 68.59866, "loss": 0.55379, "time": 0.67183} +{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.39059, "decode.acc_seg": 68.98412, "aux.loss_seg": 0.17728, "aux.acc_seg": 67.98998, "loss": 0.56786, "time": 0.6709} +{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.35448, "decode.acc_seg": 69.50263, "aux.loss_seg": 0.1629, "aux.acc_seg": 68.58882, "loss": 0.51739, "time": 0.67616} +{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.4047, "decode.acc_seg": 67.03852, "aux.loss_seg": 0.18377, "aux.acc_seg": 65.86547, "loss": 0.58847, "time": 0.66078} +{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.38355, "decode.acc_seg": 67.76803, "aux.loss_seg": 0.17451, "aux.acc_seg": 66.72797, "loss": 0.55806, "time": 0.65592} +{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.41373, "decode.acc_seg": 69.51747, "aux.loss_seg": 0.18671, "aux.acc_seg": 68.54969, "loss": 0.60044, "time": 0.66077} +{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.38242, "decode.acc_seg": 68.3983, "aux.loss_seg": 0.17507, "aux.acc_seg": 67.07914, "loss": 0.55749, "time": 0.66918} +{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.3826, "decode.acc_seg": 69.99194, "aux.loss_seg": 0.17918, "aux.acc_seg": 68.50131, "loss": 0.56178, "time": 0.67457} +{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.35637, "decode.acc_seg": 69.59903, "aux.loss_seg": 0.16294, "aux.acc_seg": 68.388, "loss": 0.51931, "time": 0.67198} +{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 22752, "data_time": 0.01066, "decode.loss_seg": 0.36636, "decode.acc_seg": 70.8317, "aux.loss_seg": 0.16834, "aux.acc_seg": 69.75532, "loss": 0.5347, "time": 0.6713} +{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.36975, "decode.acc_seg": 68.72659, "aux.loss_seg": 0.1689, "aux.acc_seg": 67.71974, "loss": 0.53866, "time": 0.65678} +{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.37142, "decode.acc_seg": 66.9008, "aux.loss_seg": 0.17045, "aux.acc_seg": 65.82853, "loss": 0.54187, "time": 0.65567} +{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.43711, "decode.acc_seg": 68.21966, "aux.loss_seg": 0.1968, "aux.acc_seg": 66.87306, "loss": 0.63391, "time": 0.6678} +{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 22752, "data_time": 0.23092, "decode.loss_seg": 0.38274, "decode.acc_seg": 68.08381, "aux.loss_seg": 0.17517, "aux.acc_seg": 66.73636, "loss": 0.55791, "time": 0.85664} +{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.3601, "decode.acc_seg": 68.49232, "aux.loss_seg": 0.16705, "aux.acc_seg": 67.12717, "loss": 0.52714, "time": 0.67274} +{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.36991, "decode.acc_seg": 70.52584, "aux.loss_seg": 0.17087, "aux.acc_seg": 69.16836, "loss": 0.54079, "time": 0.66602} +{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.36134, "decode.acc_seg": 69.8869, "aux.loss_seg": 0.16805, "aux.acc_seg": 68.63156, "loss": 0.52938, "time": 0.65434} +{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.35193, "decode.acc_seg": 69.343, "aux.loss_seg": 0.16405, "aux.acc_seg": 68.13731, "loss": 0.51598, "time": 0.66936} +{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.3665, "decode.acc_seg": 69.38669, "aux.loss_seg": 0.16949, "aux.acc_seg": 68.19597, "loss": 0.53598, "time": 0.65726} +{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.36074, "decode.acc_seg": 69.51218, "aux.loss_seg": 0.16451, "aux.acc_seg": 68.40408, "loss": 0.52526, "time": 0.65583} +{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.37323, "decode.acc_seg": 69.81628, "aux.loss_seg": 0.17397, "aux.acc_seg": 68.46275, "loss": 0.54721, "time": 0.67141} +{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.37134, "decode.acc_seg": 68.18702, "aux.loss_seg": 0.1696, "aux.acc_seg": 67.24578, "loss": 0.54094, "time": 0.6664} +{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.34881, "decode.acc_seg": 68.68748, "aux.loss_seg": 0.1631, "aux.acc_seg": 67.34399, "loss": 0.51191, "time": 0.66789} +{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.351, "decode.acc_seg": 69.72524, "aux.loss_seg": 0.16385, "aux.acc_seg": 68.424, "loss": 0.51485, "time": 0.65785} +{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.35969, "decode.acc_seg": 70.6179, "aux.loss_seg": 0.16949, "aux.acc_seg": 69.29942, "loss": 0.52918, "time": 0.64964} +{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.36716, "decode.acc_seg": 69.20532, "aux.loss_seg": 0.17128, "aux.acc_seg": 67.96764, "loss": 0.53844, "time": 0.65584} +{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.35638, "decode.acc_seg": 69.64159, "aux.loss_seg": 0.16311, "aux.acc_seg": 68.52754, "loss": 0.51948, "time": 0.66671} +{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.34821, "decode.acc_seg": 69.07231, "aux.loss_seg": 0.16065, "aux.acc_seg": 68.13153, "loss": 0.50886, "time": 0.67107} +{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.35177, "decode.acc_seg": 68.62774, "aux.loss_seg": 0.16327, "aux.acc_seg": 67.2876, "loss": 0.51505, "time": 0.66136} +{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.3619, "decode.acc_seg": 68.50345, "aux.loss_seg": 0.16927, "aux.acc_seg": 66.90461, "loss": 0.53117, "time": 0.67098} +{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.36319, "decode.acc_seg": 69.63245, "aux.loss_seg": 0.1666, "aux.acc_seg": 68.47702, "loss": 0.52979, "time": 0.67483} +{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.35166, "decode.acc_seg": 70.04338, "aux.loss_seg": 0.16577, "aux.acc_seg": 68.50536, "loss": 0.51743, "time": 0.66214} +{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.36669, "decode.acc_seg": 70.39317, "aux.loss_seg": 0.16866, "aux.acc_seg": 69.24583, "loss": 0.53535, "time": 0.66152} +{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.38118, "decode.acc_seg": 68.51776, "aux.loss_seg": 0.17509, "aux.acc_seg": 67.24821, "loss": 0.55627, "time": 0.67817} +{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.36167, "decode.acc_seg": 68.86821, "aux.loss_seg": 0.16749, "aux.acc_seg": 67.66561, "loss": 0.52916, "time": 0.67191} +{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.37444, "decode.acc_seg": 68.30989, "aux.loss_seg": 0.17482, "aux.acc_seg": 67.10087, "loss": 0.54926, "time": 0.67492} +{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.36796, "decode.acc_seg": 68.88786, "aux.loss_seg": 0.1678, "aux.acc_seg": 67.85376, "loss": 0.53576, "time": 0.66624} +{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.36473, "decode.acc_seg": 70.06874, "aux.loss_seg": 0.17053, "aux.acc_seg": 68.64619, "loss": 0.53525, "time": 0.65921} +{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 22752, "data_time": 0.22758, "decode.loss_seg": 0.3575, "decode.acc_seg": 70.67891, "aux.loss_seg": 0.16629, "aux.acc_seg": 69.22688, "loss": 0.52379, "time": 0.88023} +{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.35305, "decode.acc_seg": 70.36537, "aux.loss_seg": 0.16426, "aux.acc_seg": 69.22096, "loss": 0.51731, "time": 0.66513} +{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.34423, "decode.acc_seg": 69.19123, "aux.loss_seg": 0.16328, "aux.acc_seg": 67.65398, "loss": 0.50751, "time": 0.67871} +{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.34279, "decode.acc_seg": 70.04822, "aux.loss_seg": 0.16108, "aux.acc_seg": 68.59464, "loss": 0.50388, "time": 0.6605} +{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.34027, "decode.acc_seg": 69.63904, "aux.loss_seg": 0.16095, "aux.acc_seg": 68.49297, "loss": 0.50122, "time": 0.6737} +{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.36348, "decode.acc_seg": 67.8404, "aux.loss_seg": 0.16618, "aux.acc_seg": 66.89538, "loss": 0.52966, "time": 0.65699} +{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.3906, "decode.acc_seg": 68.05724, "aux.loss_seg": 0.18081, "aux.acc_seg": 66.72627, "loss": 0.57141, "time": 0.65128} +{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.39205, "decode.acc_seg": 69.88342, "aux.loss_seg": 0.18261, "aux.acc_seg": 68.5294, "loss": 0.57467, "time": 0.65669} +{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.38367, "decode.acc_seg": 69.90239, "aux.loss_seg": 0.17789, "aux.acc_seg": 68.49066, "loss": 0.56156, "time": 0.65879} +{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.34862, "decode.acc_seg": 67.30182, "aux.loss_seg": 0.16524, "aux.acc_seg": 66.04412, "loss": 0.51386, "time": 0.66484} +{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.3483, "decode.acc_seg": 69.96943, "aux.loss_seg": 0.16102, "aux.acc_seg": 68.96734, "loss": 0.50932, "time": 0.66323} +{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.33588, "decode.acc_seg": 70.796, "aux.loss_seg": 0.1574, "aux.acc_seg": 69.48121, "loss": 0.49328, "time": 0.6699} +{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.3544, "decode.acc_seg": 69.69173, "aux.loss_seg": 0.16567, "aux.acc_seg": 68.31215, "loss": 0.52007, "time": 0.67887} +{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 22752, "data_time": 0.01073, "decode.loss_seg": 0.35173, "decode.acc_seg": 69.64269, "aux.loss_seg": 0.1677, "aux.acc_seg": 68.00551, "loss": 0.51943, "time": 0.67845} +{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.35239, "decode.acc_seg": 68.1624, "aux.loss_seg": 0.16295, "aux.acc_seg": 67.02731, "loss": 0.51534, "time": 0.66881} +{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.33896, "decode.acc_seg": 69.78746, "aux.loss_seg": 0.15764, "aux.acc_seg": 68.62009, "loss": 0.4966, "time": 0.68253} +{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.38878, "decode.acc_seg": 69.33838, "aux.loss_seg": 0.17849, "aux.acc_seg": 68.03237, "loss": 0.56727, "time": 0.65162} +{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.35678, "decode.acc_seg": 68.3625, "aux.loss_seg": 0.1669, "aux.acc_seg": 67.21923, "loss": 0.52368, "time": 0.67273} +{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.36024, "decode.acc_seg": 69.86945, "aux.loss_seg": 0.16632, "aux.acc_seg": 68.69432, "loss": 0.52656, "time": 0.66986} +{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.36291, "decode.acc_seg": 68.99761, "aux.loss_seg": 0.16683, "aux.acc_seg": 67.80622, "loss": 0.52974, "time": 0.65909} +{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.35465, "decode.acc_seg": 70.15834, "aux.loss_seg": 0.16398, "aux.acc_seg": 68.99069, "loss": 0.51862, "time": 0.67464} +{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.36674, "decode.acc_seg": 69.64299, "aux.loss_seg": 0.17014, "aux.acc_seg": 68.30252, "loss": 0.53688, "time": 0.67679} +{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.3652, "decode.acc_seg": 70.46995, "aux.loss_seg": 0.169, "aux.acc_seg": 69.45387, "loss": 0.5342, "time": 0.66782} +{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.35777, "decode.acc_seg": 70.04052, "aux.loss_seg": 0.16575, "aux.acc_seg": 68.93642, "loss": 0.52352, "time": 0.66402} +{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.33016, "decode.acc_seg": 69.48349, "aux.loss_seg": 0.15454, "aux.acc_seg": 68.18206, "loss": 0.4847, "time": 0.66155} +{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 22752, "data_time": 0.00791, "decode.loss_seg": 0.37556, "decode.acc_seg": 69.0711, "aux.loss_seg": 0.17189, "aux.acc_seg": 68.1702, "loss": 0.54744, "time": 0.66652} +{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 22752, "data_time": 0.22666, "decode.loss_seg": 0.37732, "decode.acc_seg": 69.05603, "aux.loss_seg": 0.17406, "aux.acc_seg": 67.70052, "loss": 0.55138, "time": 0.88944} +{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.34036, "decode.acc_seg": 69.59288, "aux.loss_seg": 0.16086, "aux.acc_seg": 68.03414, "loss": 0.50122, "time": 0.66145} +{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.33775, "decode.acc_seg": 69.79091, "aux.loss_seg": 0.15855, "aux.acc_seg": 68.52012, "loss": 0.4963, "time": 0.65832} +{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.35371, "decode.acc_seg": 69.95025, "aux.loss_seg": 0.16742, "aux.acc_seg": 68.69061, "loss": 0.52113, "time": 0.65064} +{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.34598, "decode.acc_seg": 69.81493, "aux.loss_seg": 0.16153, "aux.acc_seg": 68.48414, "loss": 0.50751, "time": 0.65546} +{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.35123, "decode.acc_seg": 70.33011, "aux.loss_seg": 0.16422, "aux.acc_seg": 69.14511, "loss": 0.51545, "time": 0.67223} +{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.37945, "decode.acc_seg": 68.68202, "aux.loss_seg": 0.17551, "aux.acc_seg": 67.42572, "loss": 0.55495, "time": 0.64888} +{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.39244, "decode.acc_seg": 69.64676, "aux.loss_seg": 0.18117, "aux.acc_seg": 68.26077, "loss": 0.57362, "time": 0.66774} +{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.34968, "decode.acc_seg": 69.12936, "aux.loss_seg": 0.1601, "aux.acc_seg": 68.17625, "loss": 0.50978, "time": 0.65228} +{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.34922, "decode.acc_seg": 69.44714, "aux.loss_seg": 0.16342, "aux.acc_seg": 68.17035, "loss": 0.51265, "time": 0.67557} +{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.33422, "decode.acc_seg": 69.57442, "aux.loss_seg": 0.15571, "aux.acc_seg": 68.33255, "loss": 0.48993, "time": 0.65354} +{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.33758, "decode.acc_seg": 69.45724, "aux.loss_seg": 0.16022, "aux.acc_seg": 67.90456, "loss": 0.4978, "time": 0.66764} +{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.34867, "decode.acc_seg": 69.48482, "aux.loss_seg": 0.1625, "aux.acc_seg": 68.27382, "loss": 0.51117, "time": 0.65509} +{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.34365, "decode.acc_seg": 69.43877, "aux.loss_seg": 0.16077, "aux.acc_seg": 68.27993, "loss": 0.50442, "time": 0.67099} +{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.33553, "decode.acc_seg": 69.90526, "aux.loss_seg": 0.15564, "aux.acc_seg": 68.7838, "loss": 0.49117, "time": 0.67101} +{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.34819, "decode.acc_seg": 69.35311, "aux.loss_seg": 0.16445, "aux.acc_seg": 67.80752, "loss": 0.51264, "time": 0.66054} +{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.3562, "decode.acc_seg": 68.73287, "aux.loss_seg": 0.16445, "aux.acc_seg": 67.68038, "loss": 0.52064, "time": 0.66256} +{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.3427, "decode.acc_seg": 70.52169, "aux.loss_seg": 0.15915, "aux.acc_seg": 69.41592, "loss": 0.50185, "time": 0.65316} +{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.35164, "decode.acc_seg": 70.27977, "aux.loss_seg": 0.16201, "aux.acc_seg": 69.23601, "loss": 0.51365, "time": 0.66326} +{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.33991, "decode.acc_seg": 70.27492, "aux.loss_seg": 0.15765, "aux.acc_seg": 69.17346, "loss": 0.49756, "time": 0.67593} +{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.34154, "decode.acc_seg": 69.41404, "aux.loss_seg": 0.1596, "aux.acc_seg": 68.09235, "loss": 0.50114, "time": 0.66247} +{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.35909, "decode.acc_seg": 69.68682, "aux.loss_seg": 0.16522, "aux.acc_seg": 68.40392, "loss": 0.5243, "time": 0.67571} +{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.36658, "decode.acc_seg": 68.84667, "aux.loss_seg": 0.16966, "aux.acc_seg": 67.56315, "loss": 0.53623, "time": 0.66943} +{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.33449, "decode.acc_seg": 71.48036, "aux.loss_seg": 0.15433, "aux.acc_seg": 70.39097, "loss": 0.48882, "time": 0.66548} +{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.3389, "decode.acc_seg": 70.03346, "aux.loss_seg": 0.15842, "aux.acc_seg": 68.679, "loss": 0.49732, "time": 0.67828} +{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 22752, "data_time": 0.23025, "decode.loss_seg": 0.36012, "decode.acc_seg": 69.77011, "aux.loss_seg": 0.17021, "aux.acc_seg": 68.36117, "loss": 0.53033, "time": 0.8885} +{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.34114, "decode.acc_seg": 69.30177, "aux.loss_seg": 0.15553, "aux.acc_seg": 68.35475, "loss": 0.49667, "time": 0.6777} +{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.34059, "decode.acc_seg": 71.34091, "aux.loss_seg": 0.16165, "aux.acc_seg": 69.78308, "loss": 0.50225, "time": 0.66517} +{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.31017, "decode.acc_seg": 69.99527, "aux.loss_seg": 0.14908, "aux.acc_seg": 68.6754, "loss": 0.45925, "time": 0.66646} +{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.33422, "decode.acc_seg": 71.08093, "aux.loss_seg": 0.15709, "aux.acc_seg": 69.76953, "loss": 0.4913, "time": 0.67225} +{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.33131, "decode.acc_seg": 70.72089, "aux.loss_seg": 0.15541, "aux.acc_seg": 69.56915, "loss": 0.48672, "time": 0.67131} +{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.36056, "decode.acc_seg": 69.85804, "aux.loss_seg": 0.16664, "aux.acc_seg": 68.54391, "loss": 0.52719, "time": 0.65653} +{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.34628, "decode.acc_seg": 71.00487, "aux.loss_seg": 0.16207, "aux.acc_seg": 69.73949, "loss": 0.50835, "time": 0.67541} +{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4418, "mAcc": 0.5724, "aAcc": 0.8025, "IoU.wall": 0.7388, "IoU.building": 0.781, "IoU.sky": 0.9369, "IoU.floor": 0.7893, "IoU.tree": 0.7344, "IoU.ceiling": 0.8213, "IoU.road": 0.7557, "IoU.bed ": 0.831, "IoU.windowpane": 0.5805, "IoU.grass": 0.6618, "IoU.cabinet": 0.5522, "IoU.sidewalk": 0.5706, "IoU.person": 0.7583, "IoU.earth": 0.3663, "IoU.door": 0.4598, "IoU.table": 0.5427, "IoU.mountain": 0.6053, "IoU.plant": 0.4791, "IoU.curtain": 0.6701, "IoU.chair": 0.4876, "IoU.car": 0.8087, "IoU.water": 0.4924, "IoU.painting": 0.6522, "IoU.sofa": 0.5773, "IoU.shelf": 0.4257, "IoU.house": 0.3985, "IoU.sea": 0.4607, "IoU.mirror": 0.582, "IoU.rug": 0.6321, "IoU.field": 0.2595, "IoU.armchair": 0.3674, "IoU.seat": 0.5949, "IoU.fence": 0.4188, "IoU.desk": 0.4254, "IoU.rock": 0.4902, "IoU.wardrobe": 0.4816, "IoU.lamp": 0.5437, "IoU.bathtub": 0.6935, "IoU.railing": 0.3498, "IoU.cushion": 0.4588, "IoU.base": 0.277, "IoU.box": 0.2191, "IoU.column": 0.4466, "IoU.signboard": 0.3468, "IoU.chest of drawers": 0.3272, "IoU.counter": 0.1564, "IoU.sand": 0.4096, "IoU.sink": 0.6355, "IoU.skyscraper": 0.6316, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6215, "IoU.grandstand": 0.4209, "IoU.path": 0.2678, "IoU.stairs": 0.2469, "IoU.runway": 0.54, "IoU.case": 0.4751, "IoU.pool table": 0.8977, "IoU.pillow": 0.5139, "IoU.screen door": 0.6667, "IoU.stairway": 0.3909, "IoU.river": 0.1858, "IoU.bridge": 0.5065, "IoU.bookcase": 0.419, "IoU.blind": NaN, "IoU.coffee table": 0.5076, "IoU.toilet": 0.7543, "IoU.flower": 0.368, "IoU.book": 0.4326, "IoU.hill": 0.1438, "IoU.bench": 0.4243, "IoU.countertop": 0.5057, "IoU.stove": 0.6335, "IoU.palm": 0.4792, "IoU.kitchen island": 0.3015, "IoU.computer": 0.5513, "IoU.swivel chair": 0.3863, "IoU.boat": 0.4957, "IoU.bar": 0.4135, "IoU.arcade machine": 0.8329, "IoU.hovel": 0.3578, "IoU.bus": 0.7757, "IoU.towel": 0.5723, "IoU.light": 0.4549, "IoU.truck": 0.2022, "IoU.tower": 0.2407, "IoU.chandelier": 0.6378, "IoU.awning": 0.2398, "IoU.streetlight": 0.1766, "IoU.booth": 0.4801, "IoU.television receiver": NaN, "IoU.airplane": 0.5578, "IoU.dirt track": 0.0607, "IoU.apparel": 0.2604, "IoU.pole": 0.1302, "IoU.land": 0.016, "IoU.bannister": 0.1054, "IoU.escalator": 0.2785, "IoU.ottoman": 0.278, "IoU.bottle": NaN, "IoU.buffet": 0.5082, "IoU.poster": 0.2503, "IoU.stage": 0.1798, "IoU.van": 0.3132, "IoU.ship": 0.6234, "IoU.fountain": 0.1866, "IoU.conveyer belt": 0.5392, "IoU.canopy": 0.1982, "IoU.washer": 0.7157, "IoU.plaything": 0.2055, "IoU.swimming pool": 0.7646, "IoU.stool": 0.283, "IoU.barrel": 0.4868, "IoU.basket": 0.2955, "IoU.waterfall": 0.5419, "IoU.tent": 0.6409, "IoU.bag": 0.0585, "IoU.minibike": 0.7372, "IoU.cradle": NaN, "IoU.oven": 0.1319, "IoU.ball": 0.3883, "IoU.food": 0.4607, "IoU.step": 0.0459, "IoU.tank": 0.4995, "IoU.trade name": 0.2375, "IoU.microwave": 0.7392, "IoU.pot": 0.4531, "IoU.animal": NaN, "IoU.bicycle": 0.5237, "IoU.lake": 0.0, "IoU.dishwasher": 0.5116, "IoU.screen": 0.6101, "IoU.blanket": 0.0971, "IoU.sculpture": 0.4983, "IoU.hood": 0.4909, "IoU.sconce": 0.2669, "IoU.vase": 0.2789, "IoU.traffic light": 0.2615, "IoU.tray": 0.0477, "IoU.ashcan": 0.3165, "IoU.fan": 0.4907, "IoU.pier": 0.3199, "IoU.crt screen": 0.0689, "IoU.plate": 0.506, "IoU.monitor": 0.3338, "IoU.bulletin board": 0.4119, "IoU.shower": 0.0077, "IoU.radiator": 0.495, "IoU.glass": 0.0931, "IoU.clock": 0.3124, "IoU.flag": 0.2984, "Acc.wall": 0.8483, "Acc.building": 0.8716, "Acc.sky": 0.9748, "Acc.floor": 0.8956, "Acc.tree": 0.8618, "Acc.ceiling": 0.9181, "Acc.road": 0.7963, "Acc.bed ": 0.9252, "Acc.windowpane": 0.7094, "Acc.grass": 0.8136, "Acc.cabinet": 0.7017, "Acc.sidewalk": 0.8609, "Acc.person": 0.8881, "Acc.earth": 0.5199, "Acc.door": 0.5795, "Acc.table": 0.7193, "Acc.mountain": 0.7486, "Acc.plant": 0.5657, "Acc.curtain": 0.8134, "Acc.chair": 0.6585, "Acc.car": 0.9196, "Acc.water": 0.6644, "Acc.painting": 0.8245, "Acc.sofa": 0.7483, "Acc.shelf": 0.5965, "Acc.house": 0.8867, "Acc.sea": 0.6804, "Acc.mirror": 0.6865, "Acc.rug": 0.7098, "Acc.field": 0.4931, "Acc.armchair": 0.5816, "Acc.seat": 0.7943, "Acc.fence": 0.5193, "Acc.desk": 0.6637, "Acc.rock": 0.7763, "Acc.wardrobe": 0.6255, "Acc.lamp": 0.6621, "Acc.bathtub": 0.8059, "Acc.railing": 0.5305, "Acc.cushion": 0.5659, "Acc.base": 0.5867, "Acc.box": 0.2737, "Acc.column": 0.63, "Acc.signboard": 0.4523, "Acc.chest of drawers": 0.5324, "Acc.counter": 0.1734, "Acc.sand": 0.576, "Acc.sink": 0.7472, "Acc.skyscraper": 0.83, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7336, "Acc.grandstand": 0.7252, "Acc.path": 0.481, "Acc.stairs": 0.3076, "Acc.runway": 0.6884, "Acc.case": 0.5822, "Acc.pool table": 0.9541, "Acc.pillow": 0.6572, "Acc.screen door": 0.8194, "Acc.stairway": 0.5273, "Acc.river": 0.3928, "Acc.bridge": 0.6867, "Acc.bookcase": 0.5719, "Acc.blind": NaN, "Acc.coffee table": 0.7692, "Acc.toilet": 0.8617, "Acc.flower": 0.5833, "Acc.book": 0.553, "Acc.hill": 0.2752, "Acc.bench": 0.5192, "Acc.countertop": 0.6605, "Acc.stove": 0.7363, "Acc.palm": 0.6672, "Acc.kitchen island": 0.594, "Acc.computer": 0.6843, "Acc.swivel chair": 0.5854, "Acc.boat": 0.6892, "Acc.bar": 0.5858, "Acc.arcade machine": 0.9209, "Acc.hovel": 0.469, "Acc.bus": 0.8826, "Acc.towel": 0.7514, "Acc.light": 0.5081, "Acc.truck": 0.3041, "Acc.tower": 0.5058, "Acc.chandelier": 0.8057, "Acc.awning": 0.2562, "Acc.streetlight": 0.2303, "Acc.booth": 0.6244, "Acc.television receiver": NaN, "Acc.airplane": 0.6724, "Acc.dirt track": 0.2266, "Acc.apparel": 0.3935, "Acc.pole": 0.1852, "Acc.land": 0.0203, "Acc.bannister": 0.1564, "Acc.escalator": 0.3457, "Acc.ottoman": 0.3765, "Acc.bottle": NaN, "Acc.buffet": 0.6134, "Acc.poster": 0.2683, "Acc.stage": 0.299, "Acc.van": 0.3986, "Acc.ship": 0.9054, "Acc.fountain": 0.2034, "Acc.conveyer belt": 0.7613, "Acc.canopy": 0.2713, "Acc.washer": 0.7554, "Acc.plaything": 0.2675, "Acc.swimming pool": 0.8583, "Acc.stool": 0.3809, "Acc.barrel": 0.645, "Acc.basket": 0.3549, "Acc.waterfall": 0.6413, "Acc.tent": 0.9775, "Acc.bag": 0.0759, "Acc.minibike": 0.8653, "Acc.cradle": NaN, "Acc.oven": 0.1685, "Acc.ball": 0.429, "Acc.food": 0.5088, "Acc.step": 0.0503, "Acc.tank": 0.6544, "Acc.trade name": 0.2595, "Acc.microwave": 0.8481, "Acc.pot": 0.5015, "Acc.animal": NaN, "Acc.bicycle": 0.7522, "Acc.lake": 0.0, "Acc.dishwasher": 0.6603, "Acc.screen": 0.8256, "Acc.blanket": 0.1101, "Acc.sculpture": 0.6835, "Acc.hood": 0.6098, "Acc.sconce": 0.3001, "Acc.vase": 0.4593, "Acc.traffic light": 0.4283, "Acc.tray": 0.062, "Acc.ashcan": 0.3659, "Acc.fan": 0.6027, "Acc.pier": 0.3745, "Acc.crt screen": 0.1575, "Acc.plate": 0.6339, "Acc.monitor": 0.599, "Acc.bulletin board": 0.6356, "Acc.shower": 0.0082, "Acc.radiator": 0.6671, "Acc.glass": 0.0999, "Acc.clock": 0.3753, "Acc.flag": 0.3246} +{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 22752, "data_time": 1.63788, "decode.loss_seg": 0.33861, "decode.acc_seg": 69.3024, "aux.loss_seg": 0.15872, "aux.acc_seg": 67.82259, "loss": 0.49733, "time": 2.29453} +{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.36604, "decode.acc_seg": 71.58779, "aux.loss_seg": 0.16646, "aux.acc_seg": 70.58066, "loss": 0.5325, "time": 0.66575} +{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.35253, "decode.acc_seg": 67.69191, "aux.loss_seg": 0.16521, "aux.acc_seg": 66.29973, "loss": 0.51774, "time": 0.64644} +{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.34152, "decode.acc_seg": 70.36325, "aux.loss_seg": 0.1583, "aux.acc_seg": 69.10381, "loss": 0.49982, "time": 0.67741} +{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.35533, "decode.acc_seg": 69.54844, "aux.loss_seg": 0.16261, "aux.acc_seg": 68.51111, "loss": 0.51793, "time": 0.66845} +{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.36686, "decode.acc_seg": 68.65552, "aux.loss_seg": 0.16627, "aux.acc_seg": 67.62253, "loss": 0.53313, "time": 0.66994} +{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.33753, "decode.acc_seg": 69.5601, "aux.loss_seg": 0.1576, "aux.acc_seg": 68.31, "loss": 0.49514, "time": 0.62876} +{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.34631, "decode.acc_seg": 69.90119, "aux.loss_seg": 0.16121, "aux.acc_seg": 68.67389, "loss": 0.50752, "time": 0.65623} +{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.34094, "decode.acc_seg": 70.66729, "aux.loss_seg": 0.15949, "aux.acc_seg": 69.36353, "loss": 0.50043, "time": 0.65806} +{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.35812, "decode.acc_seg": 69.54929, "aux.loss_seg": 0.16149, "aux.acc_seg": 68.65645, "loss": 0.51961, "time": 0.67036} +{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.34305, "decode.acc_seg": 69.85165, "aux.loss_seg": 0.16057, "aux.acc_seg": 68.631, "loss": 0.50362, "time": 0.665} +{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.34178, "decode.acc_seg": 69.04118, "aux.loss_seg": 0.15926, "aux.acc_seg": 67.92413, "loss": 0.50103, "time": 0.65813} +{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.34693, "decode.acc_seg": 70.73454, "aux.loss_seg": 0.16276, "aux.acc_seg": 69.46818, "loss": 0.50969, "time": 0.66978} +{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.37041, "decode.acc_seg": 69.56967, "aux.loss_seg": 0.1733, "aux.acc_seg": 68.22973, "loss": 0.5437, "time": 0.66413} +{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.33824, "decode.acc_seg": 69.55001, "aux.loss_seg": 0.15855, "aux.acc_seg": 68.31453, "loss": 0.49679, "time": 0.66141} +{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.37517, "decode.acc_seg": 69.90381, "aux.loss_seg": 0.17194, "aux.acc_seg": 68.73058, "loss": 0.54711, "time": 0.64982} +{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 22752, "data_time": 0.22524, "decode.loss_seg": 0.34185, "decode.acc_seg": 68.54166, "aux.loss_seg": 0.15881, "aux.acc_seg": 67.43686, "loss": 0.50066, "time": 0.88089} +{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.32321, "decode.acc_seg": 72.00456, "aux.loss_seg": 0.15585, "aux.acc_seg": 70.55929, "loss": 0.47906, "time": 0.6699} +{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.34718, "decode.acc_seg": 70.67254, "aux.loss_seg": 0.16247, "aux.acc_seg": 69.34174, "loss": 0.50965, "time": 0.64542} +{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.34144, "decode.acc_seg": 70.91247, "aux.loss_seg": 0.16019, "aux.acc_seg": 69.50476, "loss": 0.50163, "time": 0.67938} +{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.3546, "decode.acc_seg": 70.71391, "aux.loss_seg": 0.16435, "aux.acc_seg": 69.46711, "loss": 0.51895, "time": 0.65113} +{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.34291, "decode.acc_seg": 68.97046, "aux.loss_seg": 0.15968, "aux.acc_seg": 67.818, "loss": 0.50259, "time": 0.67785} +{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.32017, "decode.acc_seg": 70.39114, "aux.loss_seg": 0.15035, "aux.acc_seg": 69.11992, "loss": 0.47053, "time": 0.65654} +{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.3213, "decode.acc_seg": 70.16075, "aux.loss_seg": 0.15093, "aux.acc_seg": 69.02093, "loss": 0.47224, "time": 0.63768} +{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.35069, "decode.acc_seg": 70.09007, "aux.loss_seg": 0.16269, "aux.acc_seg": 68.80162, "loss": 0.51338, "time": 0.66634} +{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.32737, "decode.acc_seg": 69.41908, "aux.loss_seg": 0.15738, "aux.acc_seg": 67.83451, "loss": 0.48475, "time": 0.66251} +{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.3512, "decode.acc_seg": 69.65576, "aux.loss_seg": 0.1628, "aux.acc_seg": 68.41976, "loss": 0.514, "time": 0.67039} +{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.35077, "decode.acc_seg": 68.75472, "aux.loss_seg": 0.16555, "aux.acc_seg": 67.3009, "loss": 0.51632, "time": 0.64355} +{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.33458, "decode.acc_seg": 70.65592, "aux.loss_seg": 0.15408, "aux.acc_seg": 69.44039, "loss": 0.48866, "time": 0.6635} +{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.35208, "decode.acc_seg": 69.58819, "aux.loss_seg": 0.1655, "aux.acc_seg": 68.37032, "loss": 0.51758, "time": 0.66246} +{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.33664, "decode.acc_seg": 69.37965, "aux.loss_seg": 0.15746, "aux.acc_seg": 68.10254, "loss": 0.4941, "time": 0.66711} +{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.33008, "decode.acc_seg": 70.54495, "aux.loss_seg": 0.15591, "aux.acc_seg": 69.3655, "loss": 0.48599, "time": 0.65018} +{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.338, "decode.acc_seg": 67.78492, "aux.loss_seg": 0.158, "aux.acc_seg": 66.48195, "loss": 0.496, "time": 0.66334} +{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.3566, "decode.acc_seg": 69.96298, "aux.loss_seg": 0.16825, "aux.acc_seg": 68.41619, "loss": 0.52485, "time": 0.65043} +{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.34504, "decode.acc_seg": 67.61688, "aux.loss_seg": 0.16116, "aux.acc_seg": 66.51238, "loss": 0.5062, "time": 0.67524} +{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.34898, "decode.acc_seg": 69.19051, "aux.loss_seg": 0.1593, "aux.acc_seg": 68.06402, "loss": 0.50828, "time": 0.65547} +{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.32647, "decode.acc_seg": 70.50171, "aux.loss_seg": 0.15472, "aux.acc_seg": 69.14465, "loss": 0.48119, "time": 0.65919} +{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.34006, "decode.acc_seg": 69.89448, "aux.loss_seg": 0.15887, "aux.acc_seg": 68.5126, "loss": 0.49893, "time": 0.66353} +{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.30752, "decode.acc_seg": 71.93989, "aux.loss_seg": 0.14373, "aux.acc_seg": 70.85202, "loss": 0.45125, "time": 0.63734} +{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.328, "decode.acc_seg": 70.54543, "aux.loss_seg": 0.15407, "aux.acc_seg": 69.28981, "loss": 0.48206, "time": 0.64182} +{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.3343, "decode.acc_seg": 70.11479, "aux.loss_seg": 0.15618, "aux.acc_seg": 68.9982, "loss": 0.49048, "time": 0.63676} +{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.33309, "decode.acc_seg": 70.12631, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.14378, "loss": 0.48678, "time": 0.6614} +{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 22752, "data_time": 0.22712, "decode.loss_seg": 0.33727, "decode.acc_seg": 69.24726, "aux.loss_seg": 0.15837, "aux.acc_seg": 67.9549, "loss": 0.49564, "time": 0.87764} +{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.32554, "decode.acc_seg": 68.10058, "aux.loss_seg": 0.15515, "aux.acc_seg": 66.69504, "loss": 0.4807, "time": 0.64295} +{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.34124, "decode.acc_seg": 71.54499, "aux.loss_seg": 0.16164, "aux.acc_seg": 70.27735, "loss": 0.50289, "time": 0.67448} +{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.33514, "decode.acc_seg": 71.53119, "aux.loss_seg": 0.15734, "aux.acc_seg": 70.21784, "loss": 0.49248, "time": 0.65761} +{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.3368, "decode.acc_seg": 69.18939, "aux.loss_seg": 0.15738, "aux.acc_seg": 67.85385, "loss": 0.49419, "time": 0.65254} +{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.34107, "decode.acc_seg": 69.62189, "aux.loss_seg": 0.15803, "aux.acc_seg": 68.65948, "loss": 0.4991, "time": 0.673} +{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.31189, "decode.acc_seg": 70.31163, "aux.loss_seg": 0.14703, "aux.acc_seg": 69.07246, "loss": 0.45892, "time": 0.65745} +{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.34358, "decode.acc_seg": 69.70529, "aux.loss_seg": 0.15679, "aux.acc_seg": 68.51691, "loss": 0.50038, "time": 0.66401} +{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 22752, "data_time": 0.00778, "decode.loss_seg": 0.33064, "decode.acc_seg": 70.92383, "aux.loss_seg": 0.15667, "aux.acc_seg": 69.45204, "loss": 0.48731, "time": 0.65779} +{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.32606, "decode.acc_seg": 69.49104, "aux.loss_seg": 0.1567, "aux.acc_seg": 68.2227, "loss": 0.48276, "time": 0.63982} +{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.33734, "decode.acc_seg": 70.58467, "aux.loss_seg": 0.15576, "aux.acc_seg": 69.36994, "loss": 0.49311, "time": 0.62942} +{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.33346, "decode.acc_seg": 72.09692, "aux.loss_seg": 0.15522, "aux.acc_seg": 71.02221, "loss": 0.48868, "time": 0.65428} +{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.32734, "decode.acc_seg": 70.74442, "aux.loss_seg": 0.15111, "aux.acc_seg": 69.5468, "loss": 0.47845, "time": 0.64378} +{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.32239, "decode.acc_seg": 69.33322, "aux.loss_seg": 0.15316, "aux.acc_seg": 67.82342, "loss": 0.47555, "time": 0.65795} +{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.31895, "decode.acc_seg": 71.07614, "aux.loss_seg": 0.1501, "aux.acc_seg": 69.87193, "loss": 0.46905, "time": 0.64711} +{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.35713, "decode.acc_seg": 68.52139, "aux.loss_seg": 0.16356, "aux.acc_seg": 67.363, "loss": 0.52069, "time": 0.67715} +{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.33167, "decode.acc_seg": 69.9305, "aux.loss_seg": 0.15565, "aux.acc_seg": 68.62308, "loss": 0.48732, "time": 0.66976} +{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.35287, "decode.acc_seg": 70.44462, "aux.loss_seg": 0.1659, "aux.acc_seg": 69.07302, "loss": 0.51877, "time": 0.65814} +{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 22752, "data_time": 0.00779, "decode.loss_seg": 0.34973, "decode.acc_seg": 70.01793, "aux.loss_seg": 0.16372, "aux.acc_seg": 68.636, "loss": 0.51346, "time": 0.66361} +{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.35451, "decode.acc_seg": 69.45478, "aux.loss_seg": 0.1655, "aux.acc_seg": 68.13093, "loss": 0.52001, "time": 0.6567} +{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.33351, "decode.acc_seg": 70.6573, "aux.loss_seg": 0.15733, "aux.acc_seg": 69.30447, "loss": 0.49084, "time": 0.66381} +{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 22752, "data_time": 0.00859, "decode.loss_seg": 0.31113, "decode.acc_seg": 70.73504, "aux.loss_seg": 0.14891, "aux.acc_seg": 69.36481, "loss": 0.46004, "time": 0.65882} +{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 22752, "data_time": 0.00791, "decode.loss_seg": 0.35482, "decode.acc_seg": 71.18589, "aux.loss_seg": 0.16599, "aux.acc_seg": 69.66957, "loss": 0.52081, "time": 0.64673} +{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.31013, "decode.acc_seg": 70.47417, "aux.loss_seg": 0.14633, "aux.acc_seg": 69.20852, "loss": 0.45646, "time": 0.63962} +{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.3322, "decode.acc_seg": 71.16891, "aux.loss_seg": 0.15687, "aux.acc_seg": 69.72856, "loss": 0.48907, "time": 0.67683} +{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 22752, "data_time": 0.22825, "decode.loss_seg": 0.33738, "decode.acc_seg": 69.76828, "aux.loss_seg": 0.15581, "aux.acc_seg": 68.66437, "loss": 0.49319, "time": 0.86992} +{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.32244, "decode.acc_seg": 69.60069, "aux.loss_seg": 0.1522, "aux.acc_seg": 68.3037, "loss": 0.47464, "time": 0.6638} +{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.31691, "decode.acc_seg": 70.68588, "aux.loss_seg": 0.15228, "aux.acc_seg": 69.27434, "loss": 0.46919, "time": 0.6488} +{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.30165, "decode.acc_seg": 70.23923, "aux.loss_seg": 0.14368, "aux.acc_seg": 68.89577, "loss": 0.44533, "time": 0.66203} +{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.32866, "decode.acc_seg": 71.36389, "aux.loss_seg": 0.15514, "aux.acc_seg": 70.04676, "loss": 0.48379, "time": 0.66652} +{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.31558, "decode.acc_seg": 70.43404, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.21701, "loss": 0.46298, "time": 0.66219} +{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.33978, "decode.acc_seg": 68.84971, "aux.loss_seg": 0.15583, "aux.acc_seg": 67.79472, "loss": 0.49561, "time": 0.65363} +{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.34038, "decode.acc_seg": 71.25052, "aux.loss_seg": 0.16056, "aux.acc_seg": 69.86298, "loss": 0.50094, "time": 0.63998} +{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.33038, "decode.acc_seg": 69.41703, "aux.loss_seg": 0.15424, "aux.acc_seg": 68.26755, "loss": 0.48462, "time": 0.66153} +{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.34831, "decode.acc_seg": 70.47741, "aux.loss_seg": 0.16313, "aux.acc_seg": 69.23135, "loss": 0.51144, "time": 0.67079} +{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.34571, "decode.acc_seg": 70.66029, "aux.loss_seg": 0.15816, "aux.acc_seg": 69.50247, "loss": 0.50387, "time": 0.67622} +{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.32612, "decode.acc_seg": 71.77344, "aux.loss_seg": 0.15476, "aux.acc_seg": 70.39631, "loss": 0.48089, "time": 0.65869} +{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.34986, "decode.acc_seg": 70.29956, "aux.loss_seg": 0.16447, "aux.acc_seg": 69.01174, "loss": 0.51433, "time": 0.6661} +{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.3518, "decode.acc_seg": 68.29378, "aux.loss_seg": 0.16134, "aux.acc_seg": 67.21076, "loss": 0.51314, "time": 0.65534} +{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.33843, "decode.acc_seg": 72.12296, "aux.loss_seg": 0.15918, "aux.acc_seg": 70.82643, "loss": 0.49761, "time": 0.67078} +{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.32453, "decode.acc_seg": 70.59533, "aux.loss_seg": 0.15551, "aux.acc_seg": 69.13567, "loss": 0.48004, "time": 0.6576} +{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.3287, "decode.acc_seg": 69.83374, "aux.loss_seg": 0.15436, "aux.acc_seg": 68.62653, "loss": 0.48306, "time": 0.67197} +{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.30919, "decode.acc_seg": 70.55925, "aux.loss_seg": 0.14616, "aux.acc_seg": 69.36271, "loss": 0.45534, "time": 0.6561} +{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.32839, "decode.acc_seg": 69.85563, "aux.loss_seg": 0.15496, "aux.acc_seg": 68.58345, "loss": 0.48335, "time": 0.65803} +{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.3336, "decode.acc_seg": 69.60407, "aux.loss_seg": 0.15794, "aux.acc_seg": 68.20774, "loss": 0.49154, "time": 0.66948} +{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.33806, "decode.acc_seg": 69.56354, "aux.loss_seg": 0.15602, "aux.acc_seg": 68.36907, "loss": 0.49408, "time": 0.68307} +{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.31728, "decode.acc_seg": 71.12039, "aux.loss_seg": 0.14925, "aux.acc_seg": 70.02478, "loss": 0.46653, "time": 0.64884} +{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.33089, "decode.acc_seg": 71.28006, "aux.loss_seg": 0.15701, "aux.acc_seg": 69.90685, "loss": 0.4879, "time": 0.64459} +{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.33045, "decode.acc_seg": 69.88818, "aux.loss_seg": 0.15475, "aux.acc_seg": 68.63487, "loss": 0.4852, "time": 0.66197} +{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.30938, "decode.acc_seg": 70.58251, "aux.loss_seg": 0.14265, "aux.acc_seg": 69.53148, "loss": 0.45203, "time": 0.66842} +{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 22752, "data_time": 0.22976, "decode.loss_seg": 0.32901, "decode.acc_seg": 71.88011, "aux.loss_seg": 0.15674, "aux.acc_seg": 70.4564, "loss": 0.48575, "time": 0.88816} +{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.30615, "decode.acc_seg": 71.79567, "aux.loss_seg": 0.14773, "aux.acc_seg": 70.42661, "loss": 0.45388, "time": 0.66586} +{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.31257, "decode.acc_seg": 70.98306, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.69492, "loss": 0.46198, "time": 0.65915} +{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.3183, "decode.acc_seg": 71.43892, "aux.loss_seg": 0.14806, "aux.acc_seg": 70.29713, "loss": 0.46636, "time": 0.6743} +{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.32155, "decode.acc_seg": 72.04622, "aux.loss_seg": 0.15416, "aux.acc_seg": 70.73372, "loss": 0.47571, "time": 0.64525} +{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.30947, "decode.acc_seg": 71.65428, "aux.loss_seg": 0.14759, "aux.acc_seg": 70.35175, "loss": 0.45706, "time": 0.65821} +{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.31441, "decode.acc_seg": 69.36879, "aux.loss_seg": 0.149, "aux.acc_seg": 68.2469, "loss": 0.46341, "time": 0.64569} +{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.30458, "decode.acc_seg": 70.34091, "aux.loss_seg": 0.14516, "aux.acc_seg": 69.02863, "loss": 0.44974, "time": 0.66641} +{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.32033, "decode.acc_seg": 69.84387, "aux.loss_seg": 0.14944, "aux.acc_seg": 68.80703, "loss": 0.46977, "time": 0.65661} +{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.3003, "decode.acc_seg": 70.91316, "aux.loss_seg": 0.14488, "aux.acc_seg": 69.51845, "loss": 0.44517, "time": 0.63759} +{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.30913, "decode.acc_seg": 71.88588, "aux.loss_seg": 0.14412, "aux.acc_seg": 70.63624, "loss": 0.45325, "time": 0.65509} +{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.32766, "decode.acc_seg": 69.76159, "aux.loss_seg": 0.15214, "aux.acc_seg": 68.66506, "loss": 0.4798, "time": 0.66738} +{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.3427, "decode.acc_seg": 69.14353, "aux.loss_seg": 0.15891, "aux.acc_seg": 67.88892, "loss": 0.50161, "time": 0.66501} +{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.32318, "decode.acc_seg": 71.14982, "aux.loss_seg": 0.15171, "aux.acc_seg": 69.83888, "loss": 0.47489, "time": 0.65459} +{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.33111, "decode.acc_seg": 70.62264, "aux.loss_seg": 0.15677, "aux.acc_seg": 69.26794, "loss": 0.48788, "time": 0.67345} +{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.31619, "decode.acc_seg": 70.53746, "aux.loss_seg": 0.14607, "aux.acc_seg": 69.48599, "loss": 0.46226, "time": 0.6627} +{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.34031, "decode.acc_seg": 70.70363, "aux.loss_seg": 0.15768, "aux.acc_seg": 69.65408, "loss": 0.49799, "time": 0.64246} +{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.34695, "decode.acc_seg": 71.3181, "aux.loss_seg": 0.16187, "aux.acc_seg": 69.95374, "loss": 0.50882, "time": 0.66981} +{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.32194, "decode.acc_seg": 71.16099, "aux.loss_seg": 0.15152, "aux.acc_seg": 69.80497, "loss": 0.47346, "time": 0.65839} +{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.31844, "decode.acc_seg": 70.31476, "aux.loss_seg": 0.1494, "aux.acc_seg": 69.05268, "loss": 0.46784, "time": 0.64945} +{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.36076, "decode.acc_seg": 68.4122, "aux.loss_seg": 0.16616, "aux.acc_seg": 67.03539, "loss": 0.52692, "time": 0.67207} +{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.31683, "decode.acc_seg": 70.31375, "aux.loss_seg": 0.1514, "aux.acc_seg": 68.64039, "loss": 0.46823, "time": 0.66423} +{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.31937, "decode.acc_seg": 68.98185, "aux.loss_seg": 0.14852, "aux.acc_seg": 67.89492, "loss": 0.46789, "time": 0.6668} +{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.33936, "decode.acc_seg": 72.20012, "aux.loss_seg": 0.15873, "aux.acc_seg": 70.81385, "loss": 0.4981, "time": 0.65481} +{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.33816, "decode.acc_seg": 70.05135, "aux.loss_seg": 0.16013, "aux.acc_seg": 68.73968, "loss": 0.49828, "time": 0.66102} +{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 22752, "data_time": 0.22764, "decode.loss_seg": 0.31085, "decode.acc_seg": 70.55221, "aux.loss_seg": 0.14521, "aux.acc_seg": 69.3405, "loss": 0.45606, "time": 0.8413} +{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.31528, "decode.acc_seg": 69.40465, "aux.loss_seg": 0.14798, "aux.acc_seg": 68.00973, "loss": 0.46326, "time": 0.67975} +{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.30894, "decode.acc_seg": 69.77265, "aux.loss_seg": 0.14723, "aux.acc_seg": 68.49319, "loss": 0.45617, "time": 0.64696} +{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.30064, "decode.acc_seg": 71.25674, "aux.loss_seg": 0.14324, "aux.acc_seg": 70.07799, "loss": 0.44388, "time": 0.65445} +{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.32101, "decode.acc_seg": 71.07717, "aux.loss_seg": 0.15351, "aux.acc_seg": 69.6427, "loss": 0.47452, "time": 0.65196} +{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.33693, "decode.acc_seg": 69.76502, "aux.loss_seg": 0.15817, "aux.acc_seg": 68.42229, "loss": 0.49509, "time": 0.66752} +{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.31812, "decode.acc_seg": 71.32865, "aux.loss_seg": 0.14832, "aux.acc_seg": 70.09695, "loss": 0.46644, "time": 0.66386} +{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.32401, "decode.acc_seg": 71.29535, "aux.loss_seg": 0.15177, "aux.acc_seg": 70.14705, "loss": 0.47578, "time": 0.66966} +{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.29286, "decode.acc_seg": 71.3271, "aux.loss_seg": 0.13938, "aux.acc_seg": 70.10621, "loss": 0.43224, "time": 0.66559} +{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.30507, "decode.acc_seg": 72.54911, "aux.loss_seg": 0.14805, "aux.acc_seg": 71.06536, "loss": 0.45311, "time": 0.67636} +{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.30319, "decode.acc_seg": 70.97566, "aux.loss_seg": 0.143, "aux.acc_seg": 69.72962, "loss": 0.44618, "time": 0.657} +{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.30144, "decode.acc_seg": 71.90395, "aux.loss_seg": 0.14426, "aux.acc_seg": 70.45761, "loss": 0.4457, "time": 0.66662} +{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.30099, "decode.acc_seg": 71.1706, "aux.loss_seg": 0.14334, "aux.acc_seg": 69.78928, "loss": 0.44433, "time": 0.65313} +{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.30735, "decode.acc_seg": 70.00869, "aux.loss_seg": 0.14625, "aux.acc_seg": 68.73502, "loss": 0.45361, "time": 0.65348} +{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.31181, "decode.acc_seg": 71.17054, "aux.loss_seg": 0.1485, "aux.acc_seg": 69.82282, "loss": 0.46031, "time": 0.66098} +{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 22752, "data_time": 0.00781, "decode.loss_seg": 0.30877, "decode.acc_seg": 71.98315, "aux.loss_seg": 0.14517, "aux.acc_seg": 70.66602, "loss": 0.45394, "time": 0.64416} +{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.32414, "decode.acc_seg": 71.60569, "aux.loss_seg": 0.15339, "aux.acc_seg": 70.25226, "loss": 0.47753, "time": 0.64309} +{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.31994, "decode.acc_seg": 70.67313, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.46661, "loss": 0.47147, "time": 0.68183} +{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.32683, "decode.acc_seg": 70.71561, "aux.loss_seg": 0.15319, "aux.acc_seg": 69.38911, "loss": 0.48001, "time": 0.65721} +{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.2974, "decode.acc_seg": 70.9199, "aux.loss_seg": 0.14185, "aux.acc_seg": 69.58322, "loss": 0.43925, "time": 0.65782} +{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.30517, "decode.acc_seg": 70.27314, "aux.loss_seg": 0.14544, "aux.acc_seg": 68.82131, "loss": 0.45061, "time": 0.65973} +{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.32787, "decode.acc_seg": 71.05213, "aux.loss_seg": 0.15485, "aux.acc_seg": 69.62631, "loss": 0.48272, "time": 0.66004} +{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.32254, "decode.acc_seg": 70.99902, "aux.loss_seg": 0.15245, "aux.acc_seg": 69.66021, "loss": 0.47499, "time": 0.66142} +{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.31212, "decode.acc_seg": 71.76187, "aux.loss_seg": 0.14856, "aux.acc_seg": 70.24147, "loss": 0.46068, "time": 0.66869} +{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.29147, "decode.acc_seg": 70.62368, "aux.loss_seg": 0.13954, "aux.acc_seg": 69.1709, "loss": 0.43101, "time": 0.65866} +{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.31257, "decode.acc_seg": 71.45507, "aux.loss_seg": 0.1471, "aux.acc_seg": 70.14879, "loss": 0.45966, "time": 0.65932} +{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 22752, "data_time": 0.21653, "decode.loss_seg": 0.29187, "decode.acc_seg": 71.81224, "aux.loss_seg": 0.14228, "aux.acc_seg": 70.37607, "loss": 0.43415, "time": 0.8699} +{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.30008, "decode.acc_seg": 69.86644, "aux.loss_seg": 0.14204, "aux.acc_seg": 68.60576, "loss": 0.44212, "time": 0.65689} +{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 22752, "data_time": 0.00779, "decode.loss_seg": 0.30298, "decode.acc_seg": 70.26083, "aux.loss_seg": 0.14212, "aux.acc_seg": 69.06947, "loss": 0.4451, "time": 0.64432} +{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.31022, "decode.acc_seg": 70.89837, "aux.loss_seg": 0.14587, "aux.acc_seg": 69.68106, "loss": 0.45609, "time": 0.6337} +{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 22752, "data_time": 0.0086, "decode.loss_seg": 0.29657, "decode.acc_seg": 71.0607, "aux.loss_seg": 0.14104, "aux.acc_seg": 69.81832, "loss": 0.43761, "time": 0.66291} +{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.296, "decode.acc_seg": 71.4535, "aux.loss_seg": 0.13914, "aux.acc_seg": 70.21589, "loss": 0.43514, "time": 0.64662} +{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.29154, "decode.acc_seg": 71.23757, "aux.loss_seg": 0.14145, "aux.acc_seg": 69.78716, "loss": 0.43299, "time": 0.66632} +{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.29525, "decode.acc_seg": 71.38788, "aux.loss_seg": 0.13948, "aux.acc_seg": 70.27591, "loss": 0.43474, "time": 0.66824} +{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.29242, "decode.acc_seg": 71.98324, "aux.loss_seg": 0.13964, "aux.acc_seg": 70.76941, "loss": 0.43206, "time": 0.65884} +{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.30126, "decode.acc_seg": 70.23054, "aux.loss_seg": 0.14405, "aux.acc_seg": 68.8058, "loss": 0.44532, "time": 0.66178} +{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.30223, "decode.acc_seg": 70.12219, "aux.loss_seg": 0.14492, "aux.acc_seg": 68.80814, "loss": 0.44715, "time": 0.65295} +{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.30294, "decode.acc_seg": 70.98655, "aux.loss_seg": 0.1418, "aux.acc_seg": 69.71342, "loss": 0.44473, "time": 0.64223} +{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.31351, "decode.acc_seg": 70.7037, "aux.loss_seg": 0.14951, "aux.acc_seg": 69.31159, "loss": 0.46302, "time": 0.64445} +{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.31944, "decode.acc_seg": 70.01275, "aux.loss_seg": 0.15301, "aux.acc_seg": 68.47618, "loss": 0.47245, "time": 0.67554} +{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.30736, "decode.acc_seg": 72.1584, "aux.loss_seg": 0.14735, "aux.acc_seg": 70.8798, "loss": 0.45471, "time": 0.65223} +{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.31105, "decode.acc_seg": 71.74316, "aux.loss_seg": 0.14696, "aux.acc_seg": 70.28009, "loss": 0.45801, "time": 0.67202} +{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.31151, "decode.acc_seg": 72.0991, "aux.loss_seg": 0.14552, "aux.acc_seg": 70.82403, "loss": 0.45703, "time": 0.64417} +{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.31833, "decode.acc_seg": 70.00087, "aux.loss_seg": 0.15062, "aux.acc_seg": 68.58066, "loss": 0.46896, "time": 0.66503} +{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.29954, "decode.acc_seg": 71.40429, "aux.loss_seg": 0.14397, "aux.acc_seg": 70.12917, "loss": 0.44351, "time": 0.64811} +{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.31477, "decode.acc_seg": 71.45205, "aux.loss_seg": 0.14789, "aux.acc_seg": 70.23723, "loss": 0.46266, "time": 0.64497} +{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 22752, "data_time": 0.01041, "decode.loss_seg": 0.3103, "decode.acc_seg": 70.85497, "aux.loss_seg": 0.14617, "aux.acc_seg": 69.57658, "loss": 0.45647, "time": 0.6698} +{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.30075, "decode.acc_seg": 70.84272, "aux.loss_seg": 0.14373, "aux.acc_seg": 69.45879, "loss": 0.44449, "time": 0.65964} +{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.30695, "decode.acc_seg": 70.21383, "aux.loss_seg": 0.14428, "aux.acc_seg": 68.98739, "loss": 0.45123, "time": 0.65904} +{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.31769, "decode.acc_seg": 70.7432, "aux.loss_seg": 0.15291, "aux.acc_seg": 69.25381, "loss": 0.4706, "time": 0.66468} +{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.32358, "decode.acc_seg": 69.91849, "aux.loss_seg": 0.15159, "aux.acc_seg": 68.50047, "loss": 0.47518, "time": 0.6501} +{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 22752, "data_time": 0.23559, "decode.loss_seg": 0.3238, "decode.acc_seg": 71.2981, "aux.loss_seg": 0.15377, "aux.acc_seg": 69.90609, "loss": 0.47758, "time": 0.85543} +{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.31438, "decode.acc_seg": 71.52052, "aux.loss_seg": 0.14876, "aux.acc_seg": 70.05158, "loss": 0.46314, "time": 0.65156} +{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.30156, "decode.acc_seg": 72.09094, "aux.loss_seg": 0.1442, "aux.acc_seg": 70.79249, "loss": 0.44576, "time": 0.65068} +{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.29243, "decode.acc_seg": 70.24585, "aux.loss_seg": 0.13971, "aux.acc_seg": 68.8956, "loss": 0.43214, "time": 0.66355} +{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.29863, "decode.acc_seg": 70.51241, "aux.loss_seg": 0.14178, "aux.acc_seg": 69.22546, "loss": 0.44041, "time": 0.6698} +{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 22752, "data_time": 0.01058, "decode.loss_seg": 0.3046, "decode.acc_seg": 71.95541, "aux.loss_seg": 0.14449, "aux.acc_seg": 70.69748, "loss": 0.44909, "time": 0.65151} +{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.32158, "decode.acc_seg": 71.22681, "aux.loss_seg": 0.15223, "aux.acc_seg": 69.88736, "loss": 0.47381, "time": 0.66911} +{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 22752, "data_time": 0.01056, "decode.loss_seg": 0.30989, "decode.acc_seg": 69.49793, "aux.loss_seg": 0.14515, "aux.acc_seg": 68.12095, "loss": 0.45504, "time": 0.66487} +{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.30279, "decode.acc_seg": 71.03379, "aux.loss_seg": 0.14173, "aux.acc_seg": 69.67163, "loss": 0.44452, "time": 0.6686} +{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.32123, "decode.acc_seg": 70.53253, "aux.loss_seg": 0.15183, "aux.acc_seg": 69.06171, "loss": 0.47306, "time": 0.64679} +{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 22752, "data_time": 0.01071, "decode.loss_seg": 0.30094, "decode.acc_seg": 71.09536, "aux.loss_seg": 0.14299, "aux.acc_seg": 69.80198, "loss": 0.44394, "time": 0.65837} +{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.3337, "decode.acc_seg": 70.19142, "aux.loss_seg": 0.15765, "aux.acc_seg": 68.76856, "loss": 0.49135, "time": 0.66187} +{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.32258, "decode.acc_seg": 70.55158, "aux.loss_seg": 0.15004, "aux.acc_seg": 69.36995, "loss": 0.47262, "time": 0.6661} +{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.3094, "decode.acc_seg": 72.13176, "aux.loss_seg": 0.14466, "aux.acc_seg": 70.98841, "loss": 0.45407, "time": 0.67186} +{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.31187, "decode.acc_seg": 70.88551, "aux.loss_seg": 0.14995, "aux.acc_seg": 69.47396, "loss": 0.46182, "time": 0.66521} +{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.28779, "decode.acc_seg": 69.98265, "aux.loss_seg": 0.13819, "aux.acc_seg": 68.55226, "loss": 0.42598, "time": 0.67211} +{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.31285, "decode.acc_seg": 72.0551, "aux.loss_seg": 0.15026, "aux.acc_seg": 70.45971, "loss": 0.46311, "time": 0.65855} +{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 22752, "data_time": 0.01041, "decode.loss_seg": 0.308, "decode.acc_seg": 70.25151, "aux.loss_seg": 0.14898, "aux.acc_seg": 68.81668, "loss": 0.45698, "time": 0.66234} +{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.31506, "decode.acc_seg": 71.57202, "aux.loss_seg": 0.14934, "aux.acc_seg": 70.24734, "loss": 0.4644, "time": 0.67329} +{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.29129, "decode.acc_seg": 71.61365, "aux.loss_seg": 0.13853, "aux.acc_seg": 70.47176, "loss": 0.42982, "time": 0.66465} +{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.30384, "decode.acc_seg": 72.49029, "aux.loss_seg": 0.14334, "aux.acc_seg": 71.32812, "loss": 0.44718, "time": 0.6668} +{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.2938, "decode.acc_seg": 71.00591, "aux.loss_seg": 0.13955, "aux.acc_seg": 69.67576, "loss": 0.43335, "time": 0.65839} +{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.30161, "decode.acc_seg": 69.85551, "aux.loss_seg": 0.14074, "aux.acc_seg": 68.6842, "loss": 0.44235, "time": 0.68202} +{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.29219, "decode.acc_seg": 70.30035, "aux.loss_seg": 0.1368, "aux.acc_seg": 69.14335, "loss": 0.42899, "time": 0.65857} +{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.30753, "decode.acc_seg": 70.4245, "aux.loss_seg": 0.14525, "aux.acc_seg": 69.08474, "loss": 0.45278, "time": 0.66801} +{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 22752, "data_time": 0.22918, "decode.loss_seg": 0.30534, "decode.acc_seg": 70.50826, "aux.loss_seg": 0.14372, "aux.acc_seg": 69.25743, "loss": 0.44906, "time": 0.88346} +{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.29249, "decode.acc_seg": 72.21839, "aux.loss_seg": 0.13888, "aux.acc_seg": 71.00932, "loss": 0.43136, "time": 0.65616} +{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.29432, "decode.acc_seg": 70.04274, "aux.loss_seg": 0.14307, "aux.acc_seg": 68.43109, "loss": 0.43739, "time": 0.66542} +{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.3075, "decode.acc_seg": 70.74189, "aux.loss_seg": 0.14757, "aux.acc_seg": 69.29168, "loss": 0.45508, "time": 0.63758} +{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.28816, "decode.acc_seg": 72.85245, "aux.loss_seg": 0.14028, "aux.acc_seg": 71.30665, "loss": 0.42844, "time": 0.6685} +{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.29044, "decode.acc_seg": 71.58752, "aux.loss_seg": 0.13963, "aux.acc_seg": 70.31819, "loss": 0.43007, "time": 0.67522} +{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.27988, "decode.acc_seg": 72.00339, "aux.loss_seg": 0.13154, "aux.acc_seg": 70.80419, "loss": 0.41142, "time": 0.67322} +{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.30577, "decode.acc_seg": 71.81222, "aux.loss_seg": 0.1466, "aux.acc_seg": 70.41071, "loss": 0.45237, "time": 0.67305} +{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 22752, "data_time": 0.00791, "decode.loss_seg": 0.29016, "decode.acc_seg": 70.77831, "aux.loss_seg": 0.1394, "aux.acc_seg": 69.52943, "loss": 0.42956, "time": 0.66328} +{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.31708, "decode.acc_seg": 72.46598, "aux.loss_seg": 0.15063, "aux.acc_seg": 71.25317, "loss": 0.46771, "time": 0.68022} +{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.30927, "decode.acc_seg": 70.57686, "aux.loss_seg": 0.14811, "aux.acc_seg": 69.35123, "loss": 0.45738, "time": 0.66105} +{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.30402, "decode.acc_seg": 71.14138, "aux.loss_seg": 0.14375, "aux.acc_seg": 69.95061, "loss": 0.44776, "time": 0.67778} +{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.2873, "decode.acc_seg": 70.73886, "aux.loss_seg": 0.13775, "aux.acc_seg": 69.36811, "loss": 0.42504, "time": 0.65609} +{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.30064, "decode.acc_seg": 70.7458, "aux.loss_seg": 0.1403, "aux.acc_seg": 69.59422, "loss": 0.44094, "time": 0.65674} +{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.28787, "decode.acc_seg": 71.79979, "aux.loss_seg": 0.13812, "aux.acc_seg": 70.43179, "loss": 0.42598, "time": 0.65844} +{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.3095, "decode.acc_seg": 69.59506, "aux.loss_seg": 0.14512, "aux.acc_seg": 68.2586, "loss": 0.45462, "time": 0.66107} +{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.30804, "decode.acc_seg": 69.81279, "aux.loss_seg": 0.14297, "aux.acc_seg": 68.69304, "loss": 0.45101, "time": 0.65748} +{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.31375, "decode.acc_seg": 70.58681, "aux.loss_seg": 0.14697, "aux.acc_seg": 69.55177, "loss": 0.46072, "time": 0.66855} +{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.30536, "decode.acc_seg": 71.08974, "aux.loss_seg": 0.14285, "aux.acc_seg": 69.86604, "loss": 0.44821, "time": 0.66729} +{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.31579, "decode.acc_seg": 71.26714, "aux.loss_seg": 0.15198, "aux.acc_seg": 69.70051, "loss": 0.46776, "time": 0.6566} +{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.30147, "decode.acc_seg": 71.04972, "aux.loss_seg": 0.14294, "aux.acc_seg": 69.65883, "loss": 0.44441, "time": 0.67852} +{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.32201, "decode.acc_seg": 70.12433, "aux.loss_seg": 0.15388, "aux.acc_seg": 68.65674, "loss": 0.47589, "time": 0.66706} +{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.29913, "decode.acc_seg": 71.07079, "aux.loss_seg": 0.14347, "aux.acc_seg": 69.66139, "loss": 0.4426, "time": 0.66516} +{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.30774, "decode.acc_seg": 71.58781, "aux.loss_seg": 0.14558, "aux.acc_seg": 70.1984, "loss": 0.45333, "time": 0.68196} +{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.31042, "decode.acc_seg": 71.47098, "aux.loss_seg": 0.14585, "aux.acc_seg": 70.15235, "loss": 0.45627, "time": 0.66524} +{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 22752, "data_time": 0.23017, "decode.loss_seg": 0.29213, "decode.acc_seg": 71.31266, "aux.loss_seg": 0.13972, "aux.acc_seg": 69.9855, "loss": 0.43185, "time": 0.87331} +{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.28279, "decode.acc_seg": 72.9169, "aux.loss_seg": 0.13547, "aux.acc_seg": 71.60695, "loss": 0.41826, "time": 0.66567} +{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 22752, "data_time": 0.00806, "decode.loss_seg": 0.28545, "decode.acc_seg": 71.92067, "aux.loss_seg": 0.13629, "aux.acc_seg": 70.69402, "loss": 0.42174, "time": 0.66194} +{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.29608, "decode.acc_seg": 70.86091, "aux.loss_seg": 0.13992, "aux.acc_seg": 69.68807, "loss": 0.436, "time": 0.65222} +{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.30387, "decode.acc_seg": 72.10037, "aux.loss_seg": 0.14488, "aux.acc_seg": 70.71004, "loss": 0.44876, "time": 0.66658} +{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.2888, "decode.acc_seg": 72.83844, "aux.loss_seg": 0.13618, "aux.acc_seg": 71.67783, "loss": 0.42499, "time": 0.66506} +{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.28355, "decode.acc_seg": 72.46881, "aux.loss_seg": 0.13594, "aux.acc_seg": 71.02733, "loss": 0.41949, "time": 0.67917} +{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.28568, "decode.acc_seg": 70.68562, "aux.loss_seg": 0.13603, "aux.acc_seg": 69.42819, "loss": 0.42172, "time": 0.65738} +{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.2821, "decode.acc_seg": 71.85953, "aux.loss_seg": 0.13489, "aux.acc_seg": 70.4959, "loss": 0.41699, "time": 0.65649} +{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.28659, "decode.acc_seg": 71.87322, "aux.loss_seg": 0.13948, "aux.acc_seg": 70.43832, "loss": 0.42608, "time": 0.66248} +{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.29962, "decode.acc_seg": 71.42682, "aux.loss_seg": 0.14373, "aux.acc_seg": 70.0534, "loss": 0.44335, "time": 0.6653} +{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.28195, "decode.acc_seg": 71.24935, "aux.loss_seg": 0.13767, "aux.acc_seg": 69.72544, "loss": 0.41961, "time": 0.66905} +{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.29853, "decode.acc_seg": 70.61341, "aux.loss_seg": 0.14251, "aux.acc_seg": 69.29901, "loss": 0.44104, "time": 0.66964} +{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.30412, "decode.acc_seg": 71.88417, "aux.loss_seg": 0.14247, "aux.acc_seg": 70.67096, "loss": 0.44659, "time": 0.6641} +{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.30281, "decode.acc_seg": 71.47511, "aux.loss_seg": 0.14331, "aux.acc_seg": 70.21023, "loss": 0.44612, "time": 0.66888} +{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.29122, "decode.acc_seg": 69.98049, "aux.loss_seg": 0.13822, "aux.acc_seg": 68.50415, "loss": 0.42944, "time": 0.66753} +{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.28855, "decode.acc_seg": 71.63466, "aux.loss_seg": 0.13545, "aux.acc_seg": 70.45711, "loss": 0.424, "time": 0.6458} +{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.30263, "decode.acc_seg": 70.98619, "aux.loss_seg": 0.14418, "aux.acc_seg": 69.85333, "loss": 0.44682, "time": 0.67334} +{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.30058, "decode.acc_seg": 71.29859, "aux.loss_seg": 0.14332, "aux.acc_seg": 69.94921, "loss": 0.4439, "time": 0.66594} +{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 22752, "data_time": 0.00861, "decode.loss_seg": 0.29659, "decode.acc_seg": 71.09018, "aux.loss_seg": 0.14272, "aux.acc_seg": 69.65656, "loss": 0.43931, "time": 0.68177} +{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.30707, "decode.acc_seg": 69.92322, "aux.loss_seg": 0.1446, "aux.acc_seg": 68.573, "loss": 0.45167, "time": 0.662} +{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.281, "decode.acc_seg": 69.69444, "aux.loss_seg": 0.13641, "aux.acc_seg": 68.29481, "loss": 0.41741, "time": 0.66176} +{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.29916, "decode.acc_seg": 70.13063, "aux.loss_seg": 0.14278, "aux.acc_seg": 68.71386, "loss": 0.44194, "time": 0.66074} +{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.31448, "decode.acc_seg": 70.1295, "aux.loss_seg": 0.14819, "aux.acc_seg": 68.79037, "loss": 0.46267, "time": 0.66498} +{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.29358, "decode.acc_seg": 70.88133, "aux.loss_seg": 0.13845, "aux.acc_seg": 69.70334, "loss": 0.43202, "time": 0.67279} +{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.28604, "decode.acc_seg": 70.96025, "aux.loss_seg": 0.13516, "aux.acc_seg": 69.7983, "loss": 0.4212, "time": 0.64485} +{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 22752, "data_time": 0.23601, "decode.loss_seg": 0.27711, "decode.acc_seg": 71.96516, "aux.loss_seg": 0.13484, "aux.acc_seg": 70.73652, "loss": 0.41195, "time": 0.87343} +{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.27522, "decode.acc_seg": 71.4643, "aux.loss_seg": 0.13231, "aux.acc_seg": 70.0685, "loss": 0.40754, "time": 0.66269} +{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.29811, "decode.acc_seg": 72.67408, "aux.loss_seg": 0.14206, "aux.acc_seg": 71.34697, "loss": 0.44017, "time": 0.64382} +{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.26873, "decode.acc_seg": 71.18282, "aux.loss_seg": 0.12874, "aux.acc_seg": 69.98404, "loss": 0.39747, "time": 0.67068} +{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.28863, "decode.acc_seg": 70.86478, "aux.loss_seg": 0.13932, "aux.acc_seg": 69.43938, "loss": 0.42796, "time": 0.67931} +{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.28958, "decode.acc_seg": 73.5211, "aux.loss_seg": 0.1375, "aux.acc_seg": 72.3945, "loss": 0.42708, "time": 0.6622} +{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.28848, "decode.acc_seg": 72.51375, "aux.loss_seg": 0.13791, "aux.acc_seg": 71.21866, "loss": 0.42639, "time": 0.6428} +{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.29348, "decode.acc_seg": 71.05633, "aux.loss_seg": 0.13975, "aux.acc_seg": 69.78748, "loss": 0.43323, "time": 0.6543} +{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.29723, "decode.acc_seg": 70.26585, "aux.loss_seg": 0.14188, "aux.acc_seg": 69.02564, "loss": 0.43911, "time": 0.6799} +{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.29937, "decode.acc_seg": 71.35619, "aux.loss_seg": 0.14122, "aux.acc_seg": 70.11122, "loss": 0.44059, "time": 0.6676} +{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.30696, "decode.acc_seg": 69.98057, "aux.loss_seg": 0.14669, "aux.acc_seg": 68.78735, "loss": 0.45365, "time": 0.67356} +{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.29668, "decode.acc_seg": 71.38695, "aux.loss_seg": 0.14377, "aux.acc_seg": 69.88045, "loss": 0.44045, "time": 0.67711} +{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.29238, "decode.acc_seg": 71.28605, "aux.loss_seg": 0.14098, "aux.acc_seg": 69.91715, "loss": 0.43336, "time": 0.66324} +{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.2845, "decode.acc_seg": 72.68883, "aux.loss_seg": 0.13957, "aux.acc_seg": 71.14837, "loss": 0.42406, "time": 0.6725} +{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.28216, "decode.acc_seg": 71.64198, "aux.loss_seg": 0.1357, "aux.acc_seg": 70.26896, "loss": 0.41786, "time": 0.66549} +{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.30007, "decode.acc_seg": 71.47961, "aux.loss_seg": 0.144, "aux.acc_seg": 70.09448, "loss": 0.44407, "time": 0.66145} +{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.29439, "decode.acc_seg": 70.99857, "aux.loss_seg": 0.13925, "aux.acc_seg": 69.74504, "loss": 0.43364, "time": 0.6741} +{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.28684, "decode.acc_seg": 72.16894, "aux.loss_seg": 0.13896, "aux.acc_seg": 70.78553, "loss": 0.42581, "time": 0.67137} +{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.282, "decode.acc_seg": 70.51033, "aux.loss_seg": 0.13446, "aux.acc_seg": 69.20826, "loss": 0.41646, "time": 0.64943} +{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.29086, "decode.acc_seg": 71.36651, "aux.loss_seg": 0.1351, "aux.acc_seg": 70.26873, "loss": 0.42596, "time": 0.65737} +{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.27588, "decode.acc_seg": 73.20834, "aux.loss_seg": 0.13231, "aux.acc_seg": 71.89932, "loss": 0.40819, "time": 0.64979} +{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.30257, "decode.acc_seg": 70.33712, "aux.loss_seg": 0.14477, "aux.acc_seg": 68.77103, "loss": 0.44734, "time": 0.65537} +{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.3009, "decode.acc_seg": 71.88847, "aux.loss_seg": 0.14156, "aux.acc_seg": 70.64524, "loss": 0.44246, "time": 0.66729} +{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.3308, "decode.acc_seg": 70.45921, "aux.loss_seg": 0.15269, "aux.acc_seg": 69.134, "loss": 0.48349, "time": 0.65761} +{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.31017, "decode.acc_seg": 71.36764, "aux.loss_seg": 0.14687, "aux.acc_seg": 69.89313, "loss": 0.45703, "time": 0.6507} +{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 22752, "data_time": 0.23306, "decode.loss_seg": 0.28153, "decode.acc_seg": 72.05889, "aux.loss_seg": 0.13381, "aux.acc_seg": 70.85337, "loss": 0.41535, "time": 0.88784} +{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.26831, "decode.acc_seg": 71.90389, "aux.loss_seg": 0.13076, "aux.acc_seg": 70.57996, "loss": 0.39907, "time": 0.65514} +{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.29822, "decode.acc_seg": 70.99676, "aux.loss_seg": 0.14271, "aux.acc_seg": 69.57076, "loss": 0.44092, "time": 0.65208} +{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.28582, "decode.acc_seg": 71.27431, "aux.loss_seg": 0.13406, "aux.acc_seg": 70.10007, "loss": 0.41989, "time": 0.6788} +{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.29184, "decode.acc_seg": 71.80728, "aux.loss_seg": 0.1418, "aux.acc_seg": 70.41721, "loss": 0.43364, "time": 0.6762} +{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.27874, "decode.acc_seg": 71.03628, "aux.loss_seg": 0.13349, "aux.acc_seg": 69.66184, "loss": 0.41223, "time": 0.63886} +{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.27622, "decode.acc_seg": 71.07001, "aux.loss_seg": 0.13298, "aux.acc_seg": 69.73026, "loss": 0.4092, "time": 0.66005} +{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.26592, "decode.acc_seg": 71.47411, "aux.loss_seg": 0.12919, "aux.acc_seg": 70.1011, "loss": 0.39512, "time": 0.67312} +{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.29052, "decode.acc_seg": 71.21722, "aux.loss_seg": 0.13856, "aux.acc_seg": 69.86521, "loss": 0.42908, "time": 0.65191} +{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.28558, "decode.acc_seg": 71.63448, "aux.loss_seg": 0.13596, "aux.acc_seg": 70.47041, "loss": 0.42154, "time": 0.64861} +{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.3004, "decode.acc_seg": 71.67261, "aux.loss_seg": 0.1431, "aux.acc_seg": 70.4482, "loss": 0.4435, "time": 0.67558} +{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.27528, "decode.acc_seg": 71.21022, "aux.loss_seg": 0.13253, "aux.acc_seg": 69.91906, "loss": 0.40781, "time": 0.67384} +{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.28926, "decode.acc_seg": 71.07609, "aux.loss_seg": 0.1384, "aux.acc_seg": 69.82311, "loss": 0.42766, "time": 0.65668} +{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.2991, "decode.acc_seg": 70.12306, "aux.loss_seg": 0.14072, "aux.acc_seg": 68.88452, "loss": 0.43982, "time": 0.6676} +{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.30705, "decode.acc_seg": 71.60429, "aux.loss_seg": 0.14449, "aux.acc_seg": 70.24441, "loss": 0.45154, "time": 0.66275} +{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 22752, "data_time": 0.00806, "decode.loss_seg": 0.27565, "decode.acc_seg": 72.33252, "aux.loss_seg": 0.13362, "aux.acc_seg": 70.99153, "loss": 0.40927, "time": 0.64792} +{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.29279, "decode.acc_seg": 71.06701, "aux.loss_seg": 0.13643, "aux.acc_seg": 69.86197, "loss": 0.42922, "time": 0.66088} +{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 22752, "data_time": 0.0078, "decode.loss_seg": 0.28487, "decode.acc_seg": 70.89661, "aux.loss_seg": 0.13599, "aux.acc_seg": 69.7075, "loss": 0.42086, "time": 0.66103} +{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.30539, "decode.acc_seg": 71.05549, "aux.loss_seg": 0.14569, "aux.acc_seg": 69.76331, "loss": 0.45108, "time": 0.66223} +{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.31426, "decode.acc_seg": 70.85039, "aux.loss_seg": 0.14745, "aux.acc_seg": 69.57883, "loss": 0.46171, "time": 0.6543} +{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.28777, "decode.acc_seg": 71.83041, "aux.loss_seg": 0.13656, "aux.acc_seg": 70.59625, "loss": 0.42433, "time": 0.6597} +{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.3375, "decode.acc_seg": 72.24518, "aux.loss_seg": 0.15966, "aux.acc_seg": 70.84901, "loss": 0.49716, "time": 0.67272} +{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.29176, "decode.acc_seg": 71.79777, "aux.loss_seg": 0.13795, "aux.acc_seg": 70.7027, "loss": 0.42972, "time": 0.67416} +{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.30329, "decode.acc_seg": 71.90574, "aux.loss_seg": 0.14321, "aux.acc_seg": 70.63953, "loss": 0.4465, "time": 0.67672} +{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.29051, "decode.acc_seg": 72.67492, "aux.loss_seg": 0.13902, "aux.acc_seg": 71.22442, "loss": 0.42953, "time": 0.66085} +{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 22752, "data_time": 0.22898, "decode.loss_seg": 0.27406, "decode.acc_seg": 72.4848, "aux.loss_seg": 0.13185, "aux.acc_seg": 71.25207, "loss": 0.40591, "time": 0.87633} +{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.29217, "decode.acc_seg": 71.38557, "aux.loss_seg": 0.14011, "aux.acc_seg": 70.06612, "loss": 0.43229, "time": 0.66862} +{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.28479, "decode.acc_seg": 73.11234, "aux.loss_seg": 0.13898, "aux.acc_seg": 71.68055, "loss": 0.42377, "time": 0.66188} +{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.27759, "decode.acc_seg": 71.42233, "aux.loss_seg": 0.13484, "aux.acc_seg": 69.85842, "loss": 0.41243, "time": 0.67182} +{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.29041, "decode.acc_seg": 71.05477, "aux.loss_seg": 0.13899, "aux.acc_seg": 69.72212, "loss": 0.4294, "time": 0.67128} +{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.27742, "decode.acc_seg": 71.31923, "aux.loss_seg": 0.13521, "aux.acc_seg": 69.88951, "loss": 0.41263, "time": 0.66938} +{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.28736, "decode.acc_seg": 70.92862, "aux.loss_seg": 0.13815, "aux.acc_seg": 69.52468, "loss": 0.42551, "time": 0.67646} +{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.29488, "decode.acc_seg": 71.35896, "aux.loss_seg": 0.14046, "aux.acc_seg": 69.97485, "loss": 0.43535, "time": 0.66413} +{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.28542, "decode.acc_seg": 71.54976, "aux.loss_seg": 0.1367, "aux.acc_seg": 70.06595, "loss": 0.42212, "time": 0.66684} +{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.27898, "decode.acc_seg": 70.17348, "aux.loss_seg": 0.13298, "aux.acc_seg": 68.88434, "loss": 0.41196, "time": 0.6317} +{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.29474, "decode.acc_seg": 71.69912, "aux.loss_seg": 0.13593, "aux.acc_seg": 70.61709, "loss": 0.43067, "time": 0.66853} +{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.28911, "decode.acc_seg": 70.78304, "aux.loss_seg": 0.13746, "aux.acc_seg": 69.51215, "loss": 0.42656, "time": 0.68072} +{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.27782, "decode.acc_seg": 71.66843, "aux.loss_seg": 0.13368, "aux.acc_seg": 70.196, "loss": 0.41151, "time": 0.67986} +{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.28381, "decode.acc_seg": 71.17688, "aux.loss_seg": 0.13574, "aux.acc_seg": 69.81409, "loss": 0.41955, "time": 0.66771} +{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.29823, "decode.acc_seg": 70.93134, "aux.loss_seg": 0.14177, "aux.acc_seg": 69.65426, "loss": 0.44, "time": 0.66711} +{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.29466, "decode.acc_seg": 71.22038, "aux.loss_seg": 0.13902, "aux.acc_seg": 69.98966, "loss": 0.43368, "time": 0.67274} +{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.26995, "decode.acc_seg": 72.81968, "aux.loss_seg": 0.13055, "aux.acc_seg": 71.43362, "loss": 0.40051, "time": 0.6615} +{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 22752, "data_time": 0.00847, "decode.loss_seg": 0.29081, "decode.acc_seg": 72.59393, "aux.loss_seg": 0.13904, "aux.acc_seg": 71.37596, "loss": 0.42985, "time": 0.66331} +{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.27891, "decode.acc_seg": 71.56829, "aux.loss_seg": 0.13255, "aux.acc_seg": 70.2848, "loss": 0.41146, "time": 0.65467} +{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.28293, "decode.acc_seg": 72.90234, "aux.loss_seg": 0.13507, "aux.acc_seg": 71.58057, "loss": 0.418, "time": 0.67538} +{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.28401, "decode.acc_seg": 72.23853, "aux.loss_seg": 0.13397, "aux.acc_seg": 71.00611, "loss": 0.41798, "time": 0.66166} +{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.27647, "decode.acc_seg": 73.21466, "aux.loss_seg": 0.13338, "aux.acc_seg": 71.7582, "loss": 0.40986, "time": 0.67539} +{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.27455, "decode.acc_seg": 71.95056, "aux.loss_seg": 0.13085, "aux.acc_seg": 70.52477, "loss": 0.4054, "time": 0.66625} +{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.28825, "decode.acc_seg": 71.44136, "aux.loss_seg": 0.13781, "aux.acc_seg": 69.9728, "loss": 0.42606, "time": 0.65429} +{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.29507, "decode.acc_seg": 72.26507, "aux.loss_seg": 0.14013, "aux.acc_seg": 70.92034, "loss": 0.4352, "time": 0.6442} +{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4495, "mAcc": 0.578, "aAcc": 0.8105, "IoU.wall": 0.7456, "IoU.building": 0.7928, "IoU.sky": 0.9389, "IoU.floor": 0.8017, "IoU.tree": 0.7316, "IoU.ceiling": 0.8294, "IoU.road": 0.8295, "IoU.bed ": 0.8527, "IoU.windowpane": 0.601, "IoU.grass": 0.6932, "IoU.cabinet": 0.5777, "IoU.sidewalk": 0.6209, "IoU.person": 0.7631, "IoU.earth": 0.3685, "IoU.door": 0.3429, "IoU.table": 0.5259, "IoU.mountain": 0.5847, "IoU.plant": 0.484, "IoU.curtain": 0.7026, "IoU.chair": 0.5113, "IoU.car": 0.8162, "IoU.water": 0.4875, "IoU.painting": 0.6813, "IoU.sofa": 0.5542, "IoU.shelf": 0.4347, "IoU.house": 0.3277, "IoU.sea": 0.5123, "IoU.mirror": 0.6302, "IoU.rug": 0.6814, "IoU.field": 0.3348, "IoU.armchair": 0.3282, "IoU.seat": 0.5703, "IoU.fence": 0.4483, "IoU.desk": 0.4145, "IoU.rock": 0.4575, "IoU.wardrobe": 0.4973, "IoU.lamp": 0.5671, "IoU.bathtub": 0.7385, "IoU.railing": 0.3324, "IoU.cushion": 0.4932, "IoU.base": 0.2666, "IoU.box": 0.2187, "IoU.column": 0.4017, "IoU.signboard": 0.3408, "IoU.chest of drawers": 0.3245, "IoU.counter": 0.1623, "IoU.sand": 0.3489, "IoU.sink": 0.6649, "IoU.skyscraper": 0.4879, "IoU.fireplace": NaN, "IoU.refrigerator": 0.67, "IoU.grandstand": 0.4049, "IoU.path": 0.1908, "IoU.stairs": 0.245, "IoU.runway": 0.6861, "IoU.case": 0.4741, "IoU.pool table": 0.907, "IoU.pillow": 0.5042, "IoU.screen door": 0.5106, "IoU.stairway": 0.3126, "IoU.river": 0.1338, "IoU.bridge": 0.5722, "IoU.bookcase": 0.4214, "IoU.blind": NaN, "IoU.coffee table": 0.5646, "IoU.toilet": 0.7944, "IoU.flower": 0.3751, "IoU.book": 0.4331, "IoU.hill": 0.135, "IoU.bench": 0.3859, "IoU.countertop": 0.4772, "IoU.stove": 0.6613, "IoU.palm": 0.437, "IoU.kitchen island": 0.3406, "IoU.computer": 0.5878, "IoU.swivel chair": 0.4514, "IoU.boat": 0.4536, "IoU.bar": 0.4538, "IoU.arcade machine": 0.8479, "IoU.hovel": 0.3559, "IoU.bus": 0.8521, "IoU.towel": 0.6445, "IoU.light": 0.5035, "IoU.truck": 0.3878, "IoU.tower": 0.2919, "IoU.chandelier": 0.6596, "IoU.awning": 0.2343, "IoU.streetlight": 0.1883, "IoU.booth": 0.4899, "IoU.television receiver": NaN, "IoU.airplane": 0.4651, "IoU.dirt track": 0.1887, "IoU.apparel": 0.3044, "IoU.pole": 0.0864, "IoU.land": 0.0235, "IoU.bannister": 0.1198, "IoU.escalator": 0.312, "IoU.ottoman": 0.2009, "IoU.bottle": NaN, "IoU.buffet": 0.5054, "IoU.poster": 0.3666, "IoU.stage": 0.1646, "IoU.van": 0.3655, "IoU.ship": 0.6001, "IoU.fountain": 0.2016, "IoU.conveyer belt": 0.6339, "IoU.canopy": 0.1927, "IoU.washer": 0.7065, "IoU.plaything": 0.1281, "IoU.swimming pool": 0.6351, "IoU.stool": 0.3482, "IoU.barrel": 0.4861, "IoU.basket": 0.2849, "IoU.waterfall": 0.6991, "IoU.tent": 0.9353, "IoU.bag": 0.1387, "IoU.minibike": 0.7238, "IoU.cradle": NaN, "IoU.oven": 0.1955, "IoU.ball": 0.3688, "IoU.food": 0.3381, "IoU.step": 0.0695, "IoU.tank": 0.4448, "IoU.trade name": 0.2669, "IoU.microwave": 0.5154, "IoU.pot": 0.4629, "IoU.animal": NaN, "IoU.bicycle": 0.4925, "IoU.lake": 0.0, "IoU.dishwasher": 0.5344, "IoU.screen": 0.596, "IoU.blanket": 0.0384, "IoU.sculpture": 0.5334, "IoU.hood": 0.4841, "IoU.sconce": 0.3963, "IoU.vase": 0.3149, "IoU.traffic light": 0.2665, "IoU.tray": 0.0436, "IoU.ashcan": 0.3851, "IoU.fan": 0.5319, "IoU.pier": 0.3544, "IoU.crt screen": 0.0425, "IoU.plate": 0.4927, "IoU.monitor": 0.2479, "IoU.bulletin board": 0.3779, "IoU.shower": 0.0042, "IoU.radiator": 0.6052, "IoU.glass": 0.1112, "IoU.clock": 0.22, "IoU.flag": 0.3122, "Acc.wall": 0.8685, "Acc.building": 0.931, "Acc.sky": 0.9693, "Acc.floor": 0.87, "Acc.tree": 0.8844, "Acc.ceiling": 0.9054, "Acc.road": 0.8955, "Acc.bed ": 0.9429, "Acc.windowpane": 0.7312, "Acc.grass": 0.8009, "Acc.cabinet": 0.6927, "Acc.sidewalk": 0.7927, "Acc.person": 0.9046, "Acc.earth": 0.5218, "Acc.door": 0.3996, "Acc.table": 0.7748, "Acc.mountain": 0.7485, "Acc.plant": 0.608, "Acc.curtain": 0.8094, "Acc.chair": 0.6684, "Acc.car": 0.8951, "Acc.water": 0.6338, "Acc.painting": 0.8405, "Acc.sofa": 0.7451, "Acc.shelf": 0.6008, "Acc.house": 0.3781, "Acc.sea": 0.7224, "Acc.mirror": 0.7025, "Acc.rug": 0.8148, "Acc.field": 0.5898, "Acc.armchair": 0.5318, "Acc.seat": 0.8039, "Acc.fence": 0.5978, "Acc.desk": 0.6397, "Acc.rock": 0.6764, "Acc.wardrobe": 0.6226, "Acc.lamp": 0.678, "Acc.bathtub": 0.8022, "Acc.railing": 0.4681, "Acc.cushion": 0.6886, "Acc.base": 0.483, "Acc.box": 0.274, "Acc.column": 0.5463, "Acc.signboard": 0.4615, "Acc.chest of drawers": 0.5534, "Acc.counter": 0.1717, "Acc.sand": 0.5139, "Acc.sink": 0.7393, "Acc.skyscraper": 0.5955, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7873, "Acc.grandstand": 0.707, "Acc.path": 0.3163, "Acc.stairs": 0.2993, "Acc.runway": 0.8942, "Acc.case": 0.6695, "Acc.pool table": 0.9524, "Acc.pillow": 0.5869, "Acc.screen door": 0.5444, "Acc.stairway": 0.3808, "Acc.river": 0.3448, "Acc.bridge": 0.748, "Acc.bookcase": 0.612, "Acc.blind": NaN, "Acc.coffee table": 0.7522, "Acc.toilet": 0.8771, "Acc.flower": 0.5203, "Acc.book": 0.5702, "Acc.hill": 0.2388, "Acc.bench": 0.5191, "Acc.countertop": 0.6474, "Acc.stove": 0.768, "Acc.palm": 0.5803, "Acc.kitchen island": 0.6176, "Acc.computer": 0.7381, "Acc.swivel chair": 0.6927, "Acc.boat": 0.5468, "Acc.bar": 0.6439, "Acc.arcade machine": 0.9532, "Acc.hovel": 0.3905, "Acc.bus": 0.9628, "Acc.towel": 0.747, "Acc.light": 0.5753, "Acc.truck": 0.538, "Acc.tower": 0.4502, "Acc.chandelier": 0.8312, "Acc.awning": 0.2657, "Acc.streetlight": 0.2608, "Acc.booth": 0.6142, "Acc.television receiver": NaN, "Acc.airplane": 0.6955, "Acc.dirt track": 0.5187, "Acc.apparel": 0.4501, "Acc.pole": 0.1031, "Acc.land": 0.0315, "Acc.bannister": 0.1963, "Acc.escalator": 0.4101, "Acc.ottoman": 0.2401, "Acc.bottle": NaN, "Acc.buffet": 0.6064, "Acc.poster": 0.5435, "Acc.stage": 0.3192, "Acc.van": 0.5164, "Acc.ship": 0.9627, "Acc.fountain": 0.2109, "Acc.conveyer belt": 0.8766, "Acc.canopy": 0.2839, "Acc.washer": 0.7577, "Acc.plaything": 0.2331, "Acc.swimming pool": 0.8682, "Acc.stool": 0.4315, "Acc.barrel": 0.7098, "Acc.basket": 0.364, "Acc.waterfall": 0.8321, "Acc.tent": 0.9693, "Acc.bag": 0.1856, "Acc.minibike": 0.8887, "Acc.cradle": NaN, "Acc.oven": 0.4749, "Acc.ball": 0.4244, "Acc.food": 0.3782, "Acc.step": 0.0794, "Acc.tank": 0.5251, "Acc.trade name": 0.3086, "Acc.microwave": 0.5747, "Acc.pot": 0.5099, "Acc.animal": NaN, "Acc.bicycle": 0.7367, "Acc.lake": 0.0, "Acc.dishwasher": 0.584, "Acc.screen": 0.9104, "Acc.blanket": 0.0415, "Acc.sculpture": 0.7348, "Acc.hood": 0.6191, "Acc.sconce": 0.4946, "Acc.vase": 0.5269, "Acc.traffic light": 0.4182, "Acc.tray": 0.0713, "Acc.ashcan": 0.5165, "Acc.fan": 0.7006, "Acc.pier": 0.5718, "Acc.crt screen": 0.1133, "Acc.plate": 0.6011, "Acc.monitor": 0.4242, "Acc.bulletin board": 0.5373, "Acc.shower": 0.0401, "Acc.radiator": 0.7281, "Acc.glass": 0.12, "Acc.clock": 0.2725, "Acc.flag": 0.3517} +{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 22752, "data_time": 1.62454, "decode.loss_seg": 0.26439, "decode.acc_seg": 71.53819, "aux.loss_seg": 0.1286, "aux.acc_seg": 70.16868, "loss": 0.39299, "time": 2.28108} +{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.26968, "decode.acc_seg": 71.32438, "aux.loss_seg": 0.13127, "aux.acc_seg": 69.86715, "loss": 0.40094, "time": 0.65785} +{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.28549, "decode.acc_seg": 72.26965, "aux.loss_seg": 0.13863, "aux.acc_seg": 70.81691, "loss": 0.42412, "time": 0.63733} +{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.2601, "decode.acc_seg": 70.92015, "aux.loss_seg": 0.12561, "aux.acc_seg": 69.58109, "loss": 0.38571, "time": 0.65017} +{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.26282, "decode.acc_seg": 71.34667, "aux.loss_seg": 0.12718, "aux.acc_seg": 69.98511, "loss": 0.39, "time": 0.63487} +{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.29704, "decode.acc_seg": 71.20002, "aux.loss_seg": 0.14195, "aux.acc_seg": 69.95012, "loss": 0.43899, "time": 0.63839} +{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.28623, "decode.acc_seg": 74.25568, "aux.loss_seg": 0.13763, "aux.acc_seg": 72.91144, "loss": 0.42387, "time": 0.65422} +{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.27899, "decode.acc_seg": 71.62491, "aux.loss_seg": 0.13583, "aux.acc_seg": 70.15913, "loss": 0.41482, "time": 0.66423} +{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.27641, "decode.acc_seg": 72.07824, "aux.loss_seg": 0.13481, "aux.acc_seg": 70.55911, "loss": 0.41122, "time": 0.67335} +{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.27195, "decode.acc_seg": 72.71498, "aux.loss_seg": 0.12974, "aux.acc_seg": 71.43497, "loss": 0.40169, "time": 0.65658} +{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.29144, "decode.acc_seg": 71.8342, "aux.loss_seg": 0.13776, "aux.acc_seg": 70.42925, "loss": 0.4292, "time": 0.65171} +{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.27529, "decode.acc_seg": 72.37835, "aux.loss_seg": 0.13323, "aux.acc_seg": 70.91506, "loss": 0.40852, "time": 0.64483} +{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.27271, "decode.acc_seg": 71.87416, "aux.loss_seg": 0.12999, "aux.acc_seg": 70.50575, "loss": 0.4027, "time": 0.66816} +{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.28033, "decode.acc_seg": 71.61761, "aux.loss_seg": 0.13672, "aux.acc_seg": 70.17689, "loss": 0.41705, "time": 0.64291} +{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.28561, "decode.acc_seg": 71.70138, "aux.loss_seg": 0.13635, "aux.acc_seg": 70.43764, "loss": 0.42195, "time": 0.63581} +{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.27218, "decode.acc_seg": 71.8118, "aux.loss_seg": 0.13082, "aux.acc_seg": 70.58663, "loss": 0.403, "time": 0.64865} +{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.26744, "decode.acc_seg": 72.21331, "aux.loss_seg": 0.12765, "aux.acc_seg": 70.90816, "loss": 0.39509, "time": 0.64826} +{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.25616, "decode.acc_seg": 72.66061, "aux.loss_seg": 0.12471, "aux.acc_seg": 71.23883, "loss": 0.38087, "time": 0.6713} +{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.28357, "decode.acc_seg": 71.48925, "aux.loss_seg": 0.13682, "aux.acc_seg": 70.1238, "loss": 0.42039, "time": 0.65216} +{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.28043, "decode.acc_seg": 71.09312, "aux.loss_seg": 0.13537, "aux.acc_seg": 69.68579, "loss": 0.41579, "time": 0.64907} +{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.28275, "decode.acc_seg": 72.37578, "aux.loss_seg": 0.13517, "aux.acc_seg": 71.11901, "loss": 0.41792, "time": 0.6666} +{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.28318, "decode.acc_seg": 72.0115, "aux.loss_seg": 0.13494, "aux.acc_seg": 70.92161, "loss": 0.41813, "time": 0.66742} +{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.26253, "decode.acc_seg": 72.17535, "aux.loss_seg": 0.12837, "aux.acc_seg": 70.6817, "loss": 0.3909, "time": 0.67052} +{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.29628, "decode.acc_seg": 71.64673, "aux.loss_seg": 0.13847, "aux.acc_seg": 70.4054, "loss": 0.43476, "time": 0.65223} +{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.27549, "decode.acc_seg": 72.66601, "aux.loss_seg": 0.13166, "aux.acc_seg": 71.35552, "loss": 0.40715, "time": 0.64919} +{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 22752, "data_time": 0.23777, "decode.loss_seg": 0.2912, "decode.acc_seg": 71.1402, "aux.loss_seg": 0.1401, "aux.acc_seg": 69.69815, "loss": 0.4313, "time": 0.89842} +{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.2765, "decode.acc_seg": 72.68599, "aux.loss_seg": 0.13225, "aux.acc_seg": 71.41887, "loss": 0.40875, "time": 0.63001} +{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.26886, "decode.acc_seg": 72.39568, "aux.loss_seg": 0.13056, "aux.acc_seg": 71.07213, "loss": 0.39942, "time": 0.66481} +{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.2881, "decode.acc_seg": 71.82879, "aux.loss_seg": 0.13654, "aux.acc_seg": 70.62312, "loss": 0.42465, "time": 0.65853} +{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.27352, "decode.acc_seg": 71.08742, "aux.loss_seg": 0.133, "aux.acc_seg": 69.86345, "loss": 0.40652, "time": 0.6674} +{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.26677, "decode.acc_seg": 70.43471, "aux.loss_seg": 0.1297, "aux.acc_seg": 69.02139, "loss": 0.39647, "time": 0.64924} +{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.26447, "decode.acc_seg": 72.60023, "aux.loss_seg": 0.12554, "aux.acc_seg": 71.41984, "loss": 0.39001, "time": 0.65589} +{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 22752, "data_time": 0.00788, "decode.loss_seg": 0.27468, "decode.acc_seg": 71.22061, "aux.loss_seg": 0.13216, "aux.acc_seg": 69.86619, "loss": 0.40684, "time": 0.64714} +{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.27243, "decode.acc_seg": 71.75291, "aux.loss_seg": 0.13235, "aux.acc_seg": 70.42226, "loss": 0.40479, "time": 0.67388} +{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.2642, "decode.acc_seg": 72.61531, "aux.loss_seg": 0.12819, "aux.acc_seg": 71.28063, "loss": 0.39239, "time": 0.64587} +{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.27712, "decode.acc_seg": 69.71415, "aux.loss_seg": 0.13311, "aux.acc_seg": 68.60892, "loss": 0.41022, "time": 0.65059} +{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.27501, "decode.acc_seg": 73.09575, "aux.loss_seg": 0.13095, "aux.acc_seg": 71.88463, "loss": 0.40596, "time": 0.64078} +{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.27691, "decode.acc_seg": 71.0907, "aux.loss_seg": 0.13219, "aux.acc_seg": 69.84485, "loss": 0.4091, "time": 0.67033} +{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.27123, "decode.acc_seg": 70.49378, "aux.loss_seg": 0.12945, "aux.acc_seg": 69.33396, "loss": 0.40068, "time": 0.66438} +{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.29291, "decode.acc_seg": 73.06638, "aux.loss_seg": 0.14084, "aux.acc_seg": 71.56788, "loss": 0.43376, "time": 0.6687} +{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.26559, "decode.acc_seg": 73.46866, "aux.loss_seg": 0.12674, "aux.acc_seg": 72.30741, "loss": 0.39233, "time": 0.67109} +{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.27453, "decode.acc_seg": 72.54601, "aux.loss_seg": 0.13321, "aux.acc_seg": 71.05549, "loss": 0.40773, "time": 0.67087} +{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.26836, "decode.acc_seg": 70.37437, "aux.loss_seg": 0.12993, "aux.acc_seg": 69.02193, "loss": 0.39829, "time": 0.67423} +{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.26425, "decode.acc_seg": 71.24689, "aux.loss_seg": 0.12882, "aux.acc_seg": 69.88739, "loss": 0.39307, "time": 0.6366} +{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.26511, "decode.acc_seg": 72.97092, "aux.loss_seg": 0.12816, "aux.acc_seg": 71.66537, "loss": 0.39326, "time": 0.6585} +{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.29142, "decode.acc_seg": 71.43003, "aux.loss_seg": 0.13824, "aux.acc_seg": 70.12491, "loss": 0.42965, "time": 0.64988} +{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.27551, "decode.acc_seg": 71.88171, "aux.loss_seg": 0.13087, "aux.acc_seg": 70.75423, "loss": 0.40638, "time": 0.67513} +{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.28907, "decode.acc_seg": 71.29463, "aux.loss_seg": 0.13649, "aux.acc_seg": 70.11879, "loss": 0.42556, "time": 0.6428} +{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.2833, "decode.acc_seg": 72.80827, "aux.loss_seg": 0.13418, "aux.acc_seg": 71.58559, "loss": 0.41748, "time": 0.68509} +{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.26894, "decode.acc_seg": 70.47471, "aux.loss_seg": 0.12866, "aux.acc_seg": 69.23353, "loss": 0.39761, "time": 0.65972} +{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 22752, "data_time": 0.22772, "decode.loss_seg": 0.27013, "decode.acc_seg": 74.23373, "aux.loss_seg": 0.13149, "aux.acc_seg": 72.82967, "loss": 0.40162, "time": 0.87787} +{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.266, "decode.acc_seg": 72.49922, "aux.loss_seg": 0.13039, "aux.acc_seg": 70.8739, "loss": 0.39638, "time": 0.67537} +{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.27234, "decode.acc_seg": 72.5379, "aux.loss_seg": 0.13311, "aux.acc_seg": 71.1403, "loss": 0.40545, "time": 0.67019} +{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.27991, "decode.acc_seg": 71.95454, "aux.loss_seg": 0.13604, "aux.acc_seg": 70.62969, "loss": 0.41595, "time": 0.6483} +{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.26634, "decode.acc_seg": 71.88724, "aux.loss_seg": 0.12893, "aux.acc_seg": 70.60554, "loss": 0.39527, "time": 0.66097} +{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.26655, "decode.acc_seg": 72.05273, "aux.loss_seg": 0.12839, "aux.acc_seg": 70.82066, "loss": 0.39495, "time": 0.67178} +{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.26861, "decode.acc_seg": 72.06531, "aux.loss_seg": 0.12942, "aux.acc_seg": 70.75714, "loss": 0.39802, "time": 0.66003} +{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.26264, "decode.acc_seg": 71.5579, "aux.loss_seg": 0.12847, "aux.acc_seg": 70.20369, "loss": 0.3911, "time": 0.67498} +{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.27445, "decode.acc_seg": 72.36633, "aux.loss_seg": 0.13248, "aux.acc_seg": 71.10122, "loss": 0.40693, "time": 0.65786} +{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.28259, "decode.acc_seg": 69.5547, "aux.loss_seg": 0.13427, "aux.acc_seg": 68.33021, "loss": 0.41687, "time": 0.65042} +{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.27707, "decode.acc_seg": 70.82038, "aux.loss_seg": 0.13055, "aux.acc_seg": 69.72004, "loss": 0.40762, "time": 0.65815} +{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.26284, "decode.acc_seg": 72.18605, "aux.loss_seg": 0.12398, "aux.acc_seg": 71.05602, "loss": 0.38682, "time": 0.66046} +{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.26943, "decode.acc_seg": 72.60516, "aux.loss_seg": 0.13301, "aux.acc_seg": 71.03302, "loss": 0.40244, "time": 0.66567} +{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.26243, "decode.acc_seg": 71.69973, "aux.loss_seg": 0.12824, "aux.acc_seg": 70.36428, "loss": 0.39067, "time": 0.6554} +{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.26939, "decode.acc_seg": 72.56341, "aux.loss_seg": 0.12848, "aux.acc_seg": 71.28734, "loss": 0.39787, "time": 0.65795} +{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.27234, "decode.acc_seg": 71.9898, "aux.loss_seg": 0.12803, "aux.acc_seg": 70.74099, "loss": 0.40037, "time": 0.67179} +{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.28757, "decode.acc_seg": 72.55872, "aux.loss_seg": 0.13838, "aux.acc_seg": 71.10355, "loss": 0.42595, "time": 0.65731} +{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.26823, "decode.acc_seg": 71.19282, "aux.loss_seg": 0.12953, "aux.acc_seg": 69.75429, "loss": 0.39776, "time": 0.66359} +{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.26829, "decode.acc_seg": 70.55796, "aux.loss_seg": 0.12938, "aux.acc_seg": 69.27374, "loss": 0.39767, "time": 0.67619} +{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.2977, "decode.acc_seg": 71.90977, "aux.loss_seg": 0.14251, "aux.acc_seg": 70.61864, "loss": 0.44021, "time": 0.66293} +{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.28493, "decode.acc_seg": 71.06072, "aux.loss_seg": 0.13491, "aux.acc_seg": 69.70917, "loss": 0.41984, "time": 0.66442} +{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.26671, "decode.acc_seg": 72.85398, "aux.loss_seg": 0.12787, "aux.acc_seg": 71.47763, "loss": 0.39458, "time": 0.6594} +{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.26877, "decode.acc_seg": 71.67749, "aux.loss_seg": 0.13055, "aux.acc_seg": 70.26214, "loss": 0.39932, "time": 0.64788} +{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.27224, "decode.acc_seg": 72.41289, "aux.loss_seg": 0.1308, "aux.acc_seg": 71.10811, "loss": 0.40304, "time": 0.67321} +{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.28478, "decode.acc_seg": 71.61238, "aux.loss_seg": 0.13452, "aux.acc_seg": 70.23346, "loss": 0.4193, "time": 0.67642} +{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 22752, "data_time": 0.24497, "decode.loss_seg": 0.29057, "decode.acc_seg": 72.24921, "aux.loss_seg": 0.13818, "aux.acc_seg": 71.1389, "loss": 0.42875, "time": 0.89058} +{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.28367, "decode.acc_seg": 72.23395, "aux.loss_seg": 0.13362, "aux.acc_seg": 71.08014, "loss": 0.41729, "time": 0.65743} +{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.27232, "decode.acc_seg": 72.54352, "aux.loss_seg": 0.13264, "aux.acc_seg": 71.21005, "loss": 0.40496, "time": 0.64997} +{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.25313, "decode.acc_seg": 72.77683, "aux.loss_seg": 0.12552, "aux.acc_seg": 71.31031, "loss": 0.37865, "time": 0.65639} +{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.25787, "decode.acc_seg": 72.79323, "aux.loss_seg": 0.12467, "aux.acc_seg": 71.53045, "loss": 0.38254, "time": 0.66922} +{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.2754, "decode.acc_seg": 71.85863, "aux.loss_seg": 0.1335, "aux.acc_seg": 70.46942, "loss": 0.4089, "time": 0.64345} +{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.28309, "decode.acc_seg": 72.40458, "aux.loss_seg": 0.13629, "aux.acc_seg": 70.9609, "loss": 0.41939, "time": 0.66231} +{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.25113, "decode.acc_seg": 72.78112, "aux.loss_seg": 0.12168, "aux.acc_seg": 71.51565, "loss": 0.37281, "time": 0.65948} +{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.26374, "decode.acc_seg": 72.37508, "aux.loss_seg": 0.12725, "aux.acc_seg": 70.9777, "loss": 0.39099, "time": 0.65152} +{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.27389, "decode.acc_seg": 73.36051, "aux.loss_seg": 0.13621, "aux.acc_seg": 71.72304, "loss": 0.4101, "time": 0.66183} +{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.29018, "decode.acc_seg": 72.94976, "aux.loss_seg": 0.1382, "aux.acc_seg": 71.66122, "loss": 0.42837, "time": 0.67492} +{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.2714, "decode.acc_seg": 71.16849, "aux.loss_seg": 0.12986, "aux.acc_seg": 69.7225, "loss": 0.40126, "time": 0.66784} +{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.27853, "decode.acc_seg": 72.34746, "aux.loss_seg": 0.13241, "aux.acc_seg": 71.00259, "loss": 0.41094, "time": 0.65233} +{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.2522, "decode.acc_seg": 71.84119, "aux.loss_seg": 0.1244, "aux.acc_seg": 70.38911, "loss": 0.3766, "time": 0.66508} +{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.25564, "decode.acc_seg": 73.43256, "aux.loss_seg": 0.1265, "aux.acc_seg": 71.97799, "loss": 0.38214, "time": 0.65728} +{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.26138, "decode.acc_seg": 71.88253, "aux.loss_seg": 0.12387, "aux.acc_seg": 70.68773, "loss": 0.38525, "time": 0.65808} +{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.26239, "decode.acc_seg": 72.97673, "aux.loss_seg": 0.12719, "aux.acc_seg": 71.55476, "loss": 0.38958, "time": 0.67517} +{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.25991, "decode.acc_seg": 71.73978, "aux.loss_seg": 0.12474, "aux.acc_seg": 70.57263, "loss": 0.38466, "time": 0.66781} +{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.28111, "decode.acc_seg": 71.2582, "aux.loss_seg": 0.13392, "aux.acc_seg": 69.95764, "loss": 0.41502, "time": 0.66083} +{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.2809, "decode.acc_seg": 71.6757, "aux.loss_seg": 0.13372, "aux.acc_seg": 70.39184, "loss": 0.41462, "time": 0.67601} +{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.26315, "decode.acc_seg": 71.95571, "aux.loss_seg": 0.12524, "aux.acc_seg": 70.76006, "loss": 0.38839, "time": 0.66744} +{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.27353, "decode.acc_seg": 70.73333, "aux.loss_seg": 0.13253, "aux.acc_seg": 69.53124, "loss": 0.40606, "time": 0.64889} +{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.27205, "decode.acc_seg": 71.544, "aux.loss_seg": 0.13201, "aux.acc_seg": 70.12955, "loss": 0.40406, "time": 0.66593} +{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.26432, "decode.acc_seg": 72.97052, "aux.loss_seg": 0.12959, "aux.acc_seg": 71.53266, "loss": 0.39391, "time": 0.67102} +{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.26492, "decode.acc_seg": 73.21686, "aux.loss_seg": 0.12655, "aux.acc_seg": 72.01173, "loss": 0.39147, "time": 0.65194} +{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 22752, "data_time": 0.2315, "decode.loss_seg": 0.25002, "decode.acc_seg": 72.25057, "aux.loss_seg": 0.12089, "aux.acc_seg": 71.10513, "loss": 0.37091, "time": 0.88684} +{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.26384, "decode.acc_seg": 71.93555, "aux.loss_seg": 0.12961, "aux.acc_seg": 70.45946, "loss": 0.39345, "time": 0.64908} +{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.25089, "decode.acc_seg": 72.90304, "aux.loss_seg": 0.12373, "aux.acc_seg": 71.54588, "loss": 0.37462, "time": 0.67089} +{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.26395, "decode.acc_seg": 73.67298, "aux.loss_seg": 0.12723, "aux.acc_seg": 72.40152, "loss": 0.39118, "time": 0.66563} +{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.27511, "decode.acc_seg": 72.82675, "aux.loss_seg": 0.13266, "aux.acc_seg": 71.48364, "loss": 0.40777, "time": 0.64966} +{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.25694, "decode.acc_seg": 72.10853, "aux.loss_seg": 0.12459, "aux.acc_seg": 70.85192, "loss": 0.38154, "time": 0.65794} +{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.26504, "decode.acc_seg": 72.50741, "aux.loss_seg": 0.12919, "aux.acc_seg": 71.1473, "loss": 0.39423, "time": 0.64806} +{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.24487, "decode.acc_seg": 72.94941, "aux.loss_seg": 0.12066, "aux.acc_seg": 71.43833, "loss": 0.36553, "time": 0.66429} +{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.25755, "decode.acc_seg": 72.43488, "aux.loss_seg": 0.12522, "aux.acc_seg": 71.1339, "loss": 0.38277, "time": 0.66101} +{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.27872, "decode.acc_seg": 71.72175, "aux.loss_seg": 0.13314, "aux.acc_seg": 70.46514, "loss": 0.41186, "time": 0.66023} +{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.26005, "decode.acc_seg": 73.50962, "aux.loss_seg": 0.12767, "aux.acc_seg": 71.95883, "loss": 0.38772, "time": 0.66798} +{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.26172, "decode.acc_seg": 71.85702, "aux.loss_seg": 0.12741, "aux.acc_seg": 70.51353, "loss": 0.38913, "time": 0.65968} +{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.26492, "decode.acc_seg": 72.27018, "aux.loss_seg": 0.12772, "aux.acc_seg": 70.99962, "loss": 0.39264, "time": 0.66739} +{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.22908, "decode.acc_seg": 71.587, "aux.loss_seg": 0.11228, "aux.acc_seg": 70.28013, "loss": 0.34137, "time": 0.66772} +{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.251, "decode.acc_seg": 74.74828, "aux.loss_seg": 0.12291, "aux.acc_seg": 73.36871, "loss": 0.3739, "time": 0.66064} +{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.25965, "decode.acc_seg": 73.17878, "aux.loss_seg": 0.12503, "aux.acc_seg": 71.9309, "loss": 0.38467, "time": 0.66103} +{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.27228, "decode.acc_seg": 72.16988, "aux.loss_seg": 0.131, "aux.acc_seg": 70.80806, "loss": 0.40328, "time": 0.67967} +{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.2703, "decode.acc_seg": 71.73183, "aux.loss_seg": 0.13141, "aux.acc_seg": 70.22192, "loss": 0.40171, "time": 0.65952} +{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.26097, "decode.acc_seg": 72.42569, "aux.loss_seg": 0.1284, "aux.acc_seg": 70.97171, "loss": 0.38937, "time": 0.64861} +{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.27493, "decode.acc_seg": 72.74841, "aux.loss_seg": 0.13131, "aux.acc_seg": 71.55334, "loss": 0.40624, "time": 0.65822} +{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.25113, "decode.acc_seg": 72.2283, "aux.loss_seg": 0.12325, "aux.acc_seg": 70.97497, "loss": 0.37439, "time": 0.66623} +{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.24798, "decode.acc_seg": 71.87771, "aux.loss_seg": 0.12082, "aux.acc_seg": 70.72462, "loss": 0.3688, "time": 0.66855} +{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.27299, "decode.acc_seg": 72.43315, "aux.loss_seg": 0.13105, "aux.acc_seg": 71.07339, "loss": 0.40404, "time": 0.67214} +{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.27084, "decode.acc_seg": 71.42025, "aux.loss_seg": 0.13129, "aux.acc_seg": 70.09753, "loss": 0.40213, "time": 0.63582} +{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.26513, "decode.acc_seg": 71.76408, "aux.loss_seg": 0.12854, "aux.acc_seg": 70.46436, "loss": 0.39367, "time": 0.65193} +{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.28042, "decode.acc_seg": 71.64889, "aux.loss_seg": 0.13715, "aux.acc_seg": 70.15301, "loss": 0.41757, "time": 0.66298} +{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 22752, "data_time": 0.22998, "decode.loss_seg": 0.25423, "decode.acc_seg": 72.7546, "aux.loss_seg": 0.12392, "aux.acc_seg": 71.45831, "loss": 0.37815, "time": 0.86641} +{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.2629, "decode.acc_seg": 70.78357, "aux.loss_seg": 0.12689, "aux.acc_seg": 69.55654, "loss": 0.38979, "time": 0.66246} +{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.24953, "decode.acc_seg": 72.17668, "aux.loss_seg": 0.12094, "aux.acc_seg": 70.80069, "loss": 0.37047, "time": 0.65743} +{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.25469, "decode.acc_seg": 72.00615, "aux.loss_seg": 0.12249, "aux.acc_seg": 70.70303, "loss": 0.37718, "time": 0.65968} +{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.25685, "decode.acc_seg": 73.34368, "aux.loss_seg": 0.12591, "aux.acc_seg": 71.98911, "loss": 0.38276, "time": 0.65751} +{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.2599, "decode.acc_seg": 74.20049, "aux.loss_seg": 0.12845, "aux.acc_seg": 72.81862, "loss": 0.38835, "time": 0.65928} +{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.25014, "decode.acc_seg": 71.72247, "aux.loss_seg": 0.12084, "aux.acc_seg": 70.59206, "loss": 0.37098, "time": 0.6697} +{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.25451, "decode.acc_seg": 73.53609, "aux.loss_seg": 0.12391, "aux.acc_seg": 72.20475, "loss": 0.37842, "time": 0.64784} +{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.25482, "decode.acc_seg": 72.4787, "aux.loss_seg": 0.12431, "aux.acc_seg": 71.05403, "loss": 0.37914, "time": 0.66498} +{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.25814, "decode.acc_seg": 70.85418, "aux.loss_seg": 0.12731, "aux.acc_seg": 69.37652, "loss": 0.38545, "time": 0.66586} +{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.25011, "decode.acc_seg": 72.54614, "aux.loss_seg": 0.12061, "aux.acc_seg": 71.26152, "loss": 0.37072, "time": 0.64621} +{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.26478, "decode.acc_seg": 71.00653, "aux.loss_seg": 0.12755, "aux.acc_seg": 69.77765, "loss": 0.39233, "time": 0.65125} +{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.26696, "decode.acc_seg": 72.36691, "aux.loss_seg": 0.12918, "aux.acc_seg": 71.01425, "loss": 0.39614, "time": 0.66402} +{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.25489, "decode.acc_seg": 73.77273, "aux.loss_seg": 0.12478, "aux.acc_seg": 72.48157, "loss": 0.37967, "time": 0.66634} +{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.26948, "decode.acc_seg": 73.01582, "aux.loss_seg": 0.1312, "aux.acc_seg": 71.54762, "loss": 0.40068, "time": 0.65776} +{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.2469, "decode.acc_seg": 73.44882, "aux.loss_seg": 0.12079, "aux.acc_seg": 72.13793, "loss": 0.36769, "time": 0.67319} +{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.24545, "decode.acc_seg": 73.29235, "aux.loss_seg": 0.12015, "aux.acc_seg": 71.9993, "loss": 0.36559, "time": 0.66993} +{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.2506, "decode.acc_seg": 72.59261, "aux.loss_seg": 0.12147, "aux.acc_seg": 71.11164, "loss": 0.37208, "time": 0.6726} +{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.26722, "decode.acc_seg": 71.8504, "aux.loss_seg": 0.12954, "aux.acc_seg": 70.4263, "loss": 0.39675, "time": 0.66446} +{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.26906, "decode.acc_seg": 72.03665, "aux.loss_seg": 0.13001, "aux.acc_seg": 70.68379, "loss": 0.39907, "time": 0.65656} +{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.26203, "decode.acc_seg": 73.73332, "aux.loss_seg": 0.1275, "aux.acc_seg": 72.41309, "loss": 0.38952, "time": 0.66987} +{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.25128, "decode.acc_seg": 71.66789, "aux.loss_seg": 0.1226, "aux.acc_seg": 70.30628, "loss": 0.37388, "time": 0.67609} +{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.24735, "decode.acc_seg": 72.1014, "aux.loss_seg": 0.12181, "aux.acc_seg": 70.7107, "loss": 0.36917, "time": 0.65948} +{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.25813, "decode.acc_seg": 72.33567, "aux.loss_seg": 0.12408, "aux.acc_seg": 70.94978, "loss": 0.38221, "time": 0.66278} +{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.26785, "decode.acc_seg": 71.60209, "aux.loss_seg": 0.12982, "aux.acc_seg": 70.37074, "loss": 0.39767, "time": 0.67386} +{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 22752, "data_time": 0.22678, "decode.loss_seg": 0.24771, "decode.acc_seg": 72.78772, "aux.loss_seg": 0.12158, "aux.acc_seg": 71.42878, "loss": 0.36929, "time": 0.86363} +{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.25846, "decode.acc_seg": 71.88454, "aux.loss_seg": 0.12614, "aux.acc_seg": 70.53624, "loss": 0.3846, "time": 0.65294} +{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.26718, "decode.acc_seg": 72.56899, "aux.loss_seg": 0.12909, "aux.acc_seg": 71.26102, "loss": 0.39627, "time": 0.6413} +{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.26082, "decode.acc_seg": 71.7717, "aux.loss_seg": 0.12648, "aux.acc_seg": 70.37922, "loss": 0.3873, "time": 0.66085} +{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.24922, "decode.acc_seg": 72.25155, "aux.loss_seg": 0.1226, "aux.acc_seg": 70.8837, "loss": 0.37183, "time": 0.66141} +{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.24906, "decode.acc_seg": 72.83407, "aux.loss_seg": 0.12207, "aux.acc_seg": 71.53687, "loss": 0.37113, "time": 0.66003} +{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.25988, "decode.acc_seg": 72.62792, "aux.loss_seg": 0.12666, "aux.acc_seg": 71.19256, "loss": 0.38654, "time": 0.66841} +{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.24724, "decode.acc_seg": 72.73718, "aux.loss_seg": 0.12195, "aux.acc_seg": 71.33647, "loss": 0.36919, "time": 0.66177} +{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 22752, "data_time": 0.01127, "decode.loss_seg": 0.24486, "decode.acc_seg": 72.18998, "aux.loss_seg": 0.11733, "aux.acc_seg": 71.09207, "loss": 0.36219, "time": 0.68223} +{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.26343, "decode.acc_seg": 73.20428, "aux.loss_seg": 0.12644, "aux.acc_seg": 71.91321, "loss": 0.38987, "time": 0.64692} +{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.26653, "decode.acc_seg": 72.63201, "aux.loss_seg": 0.12793, "aux.acc_seg": 71.31828, "loss": 0.39446, "time": 0.66772} +{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.26076, "decode.acc_seg": 72.24159, "aux.loss_seg": 0.12608, "aux.acc_seg": 70.92434, "loss": 0.38683, "time": 0.67161} +{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.27936, "decode.acc_seg": 73.44546, "aux.loss_seg": 0.13489, "aux.acc_seg": 72.07674, "loss": 0.41425, "time": 0.64912} +{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.26034, "decode.acc_seg": 72.36027, "aux.loss_seg": 0.12582, "aux.acc_seg": 71.08433, "loss": 0.38617, "time": 0.64898} +{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 22752, "data_time": 0.0106, "decode.loss_seg": 0.25078, "decode.acc_seg": 72.49775, "aux.loss_seg": 0.12199, "aux.acc_seg": 71.23564, "loss": 0.37278, "time": 0.6706} +{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.26257, "decode.acc_seg": 72.19372, "aux.loss_seg": 0.12565, "aux.acc_seg": 70.96944, "loss": 0.38821, "time": 0.66379} +{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.2504, "decode.acc_seg": 71.16132, "aux.loss_seg": 0.12052, "aux.acc_seg": 69.90845, "loss": 0.37092, "time": 0.6481} +{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.24437, "decode.acc_seg": 73.09297, "aux.loss_seg": 0.11962, "aux.acc_seg": 71.74137, "loss": 0.36399, "time": 0.66155} +{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.24867, "decode.acc_seg": 72.59848, "aux.loss_seg": 0.12121, "aux.acc_seg": 71.2833, "loss": 0.36988, "time": 0.65022} +{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.26572, "decode.acc_seg": 73.77273, "aux.loss_seg": 0.13193, "aux.acc_seg": 72.23692, "loss": 0.39765, "time": 0.67635} +{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.25714, "decode.acc_seg": 70.92639, "aux.loss_seg": 0.12571, "aux.acc_seg": 69.42676, "loss": 0.38285, "time": 0.6478} +{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.25677, "decode.acc_seg": 72.37814, "aux.loss_seg": 0.12545, "aux.acc_seg": 70.98211, "loss": 0.38222, "time": 0.64649} +{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.24884, "decode.acc_seg": 72.9692, "aux.loss_seg": 0.12105, "aux.acc_seg": 71.65049, "loss": 0.36989, "time": 0.64577} +{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.28408, "decode.acc_seg": 71.91344, "aux.loss_seg": 0.13576, "aux.acc_seg": 70.66839, "loss": 0.41984, "time": 0.67807} +{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.27211, "decode.acc_seg": 72.4689, "aux.loss_seg": 0.13068, "aux.acc_seg": 71.05732, "loss": 0.4028, "time": 0.65033} +{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 22752, "data_time": 0.22485, "decode.loss_seg": 0.2721, "decode.acc_seg": 73.03804, "aux.loss_seg": 0.13115, "aux.acc_seg": 71.80645, "loss": 0.40325, "time": 0.8761} +{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.26091, "decode.acc_seg": 71.02844, "aux.loss_seg": 0.12715, "aux.acc_seg": 69.7415, "loss": 0.38806, "time": 0.64569} +{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.24923, "decode.acc_seg": 72.1584, "aux.loss_seg": 0.11945, "aux.acc_seg": 70.95143, "loss": 0.36868, "time": 0.65101} +{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.24248, "decode.acc_seg": 72.06619, "aux.loss_seg": 0.11896, "aux.acc_seg": 70.73577, "loss": 0.36143, "time": 0.66073} +{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.25008, "decode.acc_seg": 73.63968, "aux.loss_seg": 0.12263, "aux.acc_seg": 72.17276, "loss": 0.37271, "time": 0.66013} +{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.26138, "decode.acc_seg": 72.78192, "aux.loss_seg": 0.12523, "aux.acc_seg": 71.47713, "loss": 0.38661, "time": 0.6573} +{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.24932, "decode.acc_seg": 72.19801, "aux.loss_seg": 0.11981, "aux.acc_seg": 71.14853, "loss": 0.36913, "time": 0.67182} +{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.2548, "decode.acc_seg": 74.56361, "aux.loss_seg": 0.12373, "aux.acc_seg": 73.31451, "loss": 0.37853, "time": 0.66844} +{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.24659, "decode.acc_seg": 72.62965, "aux.loss_seg": 0.11996, "aux.acc_seg": 71.37273, "loss": 0.36655, "time": 0.65406} +{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.2582, "decode.acc_seg": 73.28609, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.95169, "loss": 0.38277, "time": 0.66155} +{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.27824, "decode.acc_seg": 70.07129, "aux.loss_seg": 0.13546, "aux.acc_seg": 68.61068, "loss": 0.4137, "time": 0.66761} +{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.27045, "decode.acc_seg": 72.7454, "aux.loss_seg": 0.1319, "aux.acc_seg": 71.25087, "loss": 0.40235, "time": 0.66173} +{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.26053, "decode.acc_seg": 72.63129, "aux.loss_seg": 0.12772, "aux.acc_seg": 71.27978, "loss": 0.38826, "time": 0.65898} +{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 22752, "data_time": 0.01074, "decode.loss_seg": 0.2612, "decode.acc_seg": 72.6742, "aux.loss_seg": 0.12603, "aux.acc_seg": 71.37629, "loss": 0.38723, "time": 0.66601} +{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.23986, "decode.acc_seg": 72.69309, "aux.loss_seg": 0.11823, "aux.acc_seg": 71.34787, "loss": 0.35809, "time": 0.65792} +{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.24931, "decode.acc_seg": 73.11603, "aux.loss_seg": 0.12029, "aux.acc_seg": 71.98725, "loss": 0.3696, "time": 0.66617} +{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.26872, "decode.acc_seg": 71.88898, "aux.loss_seg": 0.12889, "aux.acc_seg": 70.64189, "loss": 0.39761, "time": 0.67142} +{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.26969, "decode.acc_seg": 73.34652, "aux.loss_seg": 0.13107, "aux.acc_seg": 72.00523, "loss": 0.40076, "time": 0.67801} +{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.24457, "decode.acc_seg": 70.7079, "aux.loss_seg": 0.1186, "aux.acc_seg": 69.47011, "loss": 0.36316, "time": 0.66009} +{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.25488, "decode.acc_seg": 71.96326, "aux.loss_seg": 0.1232, "aux.acc_seg": 70.65906, "loss": 0.37809, "time": 0.67148} +{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.26427, "decode.acc_seg": 73.85369, "aux.loss_seg": 0.12572, "aux.acc_seg": 72.68851, "loss": 0.38999, "time": 0.67271} +{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.2483, "decode.acc_seg": 73.10528, "aux.loss_seg": 0.12222, "aux.acc_seg": 71.65188, "loss": 0.37052, "time": 0.65254} +{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.25345, "decode.acc_seg": 72.66989, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.38776, "loss": 0.37571, "time": 0.67412} +{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.26432, "decode.acc_seg": 71.85367, "aux.loss_seg": 0.1267, "aux.acc_seg": 70.55056, "loss": 0.39102, "time": 0.65394} +{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.25624, "decode.acc_seg": 72.78485, "aux.loss_seg": 0.12427, "aux.acc_seg": 71.37343, "loss": 0.38051, "time": 0.65979} +{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 22752, "data_time": 0.22867, "decode.loss_seg": 0.26807, "decode.acc_seg": 72.81576, "aux.loss_seg": 0.13012, "aux.acc_seg": 71.43544, "loss": 0.3982, "time": 0.89212} +{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.2457, "decode.acc_seg": 74.90135, "aux.loss_seg": 0.12047, "aux.acc_seg": 73.62365, "loss": 0.36616, "time": 0.65253} +{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.25422, "decode.acc_seg": 72.4376, "aux.loss_seg": 0.12465, "aux.acc_seg": 71.06547, "loss": 0.37887, "time": 0.65443} +{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.25132, "decode.acc_seg": 73.09436, "aux.loss_seg": 0.12469, "aux.acc_seg": 71.67859, "loss": 0.37601, "time": 0.64947} +{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.2474, "decode.acc_seg": 72.98197, "aux.loss_seg": 0.12227, "aux.acc_seg": 71.64158, "loss": 0.36967, "time": 0.6458} +{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.25394, "decode.acc_seg": 73.04512, "aux.loss_seg": 0.12374, "aux.acc_seg": 71.80602, "loss": 0.37768, "time": 0.64028} +{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.24197, "decode.acc_seg": 72.41553, "aux.loss_seg": 0.11793, "aux.acc_seg": 71.12949, "loss": 0.3599, "time": 0.65509} +{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.23898, "decode.acc_seg": 73.14318, "aux.loss_seg": 0.11842, "aux.acc_seg": 71.72095, "loss": 0.3574, "time": 0.65548} +{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.2354, "decode.acc_seg": 72.754, "aux.loss_seg": 0.1133, "aux.acc_seg": 71.56375, "loss": 0.3487, "time": 0.66382} +{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.24972, "decode.acc_seg": 73.51643, "aux.loss_seg": 0.12184, "aux.acc_seg": 72.1999, "loss": 0.37157, "time": 0.66907} +{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.24603, "decode.acc_seg": 72.99347, "aux.loss_seg": 0.11996, "aux.acc_seg": 71.67491, "loss": 0.36599, "time": 0.67378} +{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.25726, "decode.acc_seg": 73.32897, "aux.loss_seg": 0.12342, "aux.acc_seg": 72.06045, "loss": 0.38068, "time": 0.67185} +{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 22752, "data_time": 0.01105, "decode.loss_seg": 0.24024, "decode.acc_seg": 71.47381, "aux.loss_seg": 0.11911, "aux.acc_seg": 69.98953, "loss": 0.35936, "time": 0.68395} +{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.24889, "decode.acc_seg": 72.39821, "aux.loss_seg": 0.12331, "aux.acc_seg": 70.87764, "loss": 0.3722, "time": 0.68066} +{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.23301, "decode.acc_seg": 72.63337, "aux.loss_seg": 0.11386, "aux.acc_seg": 71.3901, "loss": 0.34687, "time": 0.65252} +{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.24899, "decode.acc_seg": 72.73581, "aux.loss_seg": 0.12142, "aux.acc_seg": 71.50044, "loss": 0.37041, "time": 0.66123} +{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.24628, "decode.acc_seg": 72.88284, "aux.loss_seg": 0.11847, "aux.acc_seg": 71.5698, "loss": 0.36476, "time": 0.65906} +{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.25363, "decode.acc_seg": 72.35295, "aux.loss_seg": 0.12108, "aux.acc_seg": 71.34563, "loss": 0.3747, "time": 0.65304} +{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.27138, "decode.acc_seg": 72.55173, "aux.loss_seg": 0.13161, "aux.acc_seg": 71.0592, "loss": 0.40299, "time": 0.6792} +{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.24964, "decode.acc_seg": 73.71782, "aux.loss_seg": 0.12196, "aux.acc_seg": 72.3555, "loss": 0.3716, "time": 0.64326} +{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.26019, "decode.acc_seg": 73.50128, "aux.loss_seg": 0.12497, "aux.acc_seg": 72.20141, "loss": 0.38515, "time": 0.66306} +{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 22752, "data_time": 0.01076, "decode.loss_seg": 0.24629, "decode.acc_seg": 72.32808, "aux.loss_seg": 0.11824, "aux.acc_seg": 71.08354, "loss": 0.36453, "time": 0.66668} +{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.27609, "decode.acc_seg": 72.18578, "aux.loss_seg": 0.13154, "aux.acc_seg": 70.99841, "loss": 0.40763, "time": 0.64474} +{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.24591, "decode.acc_seg": 72.16114, "aux.loss_seg": 0.11969, "aux.acc_seg": 71.00242, "loss": 0.3656, "time": 0.66935} +{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.24358, "decode.acc_seg": 72.46865, "aux.loss_seg": 0.11923, "aux.acc_seg": 71.08528, "loss": 0.36281, "time": 0.65854} +{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.24395, "decode.acc_seg": 73.85977, "aux.loss_seg": 0.12072, "aux.acc_seg": 72.46638, "loss": 0.36467, "time": 0.65498} +{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 22752, "data_time": 0.23346, "decode.loss_seg": 0.23974, "decode.acc_seg": 73.51176, "aux.loss_seg": 0.11784, "aux.acc_seg": 72.21486, "loss": 0.35758, "time": 0.87211} +{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.22881, "decode.acc_seg": 73.66424, "aux.loss_seg": 0.11408, "aux.acc_seg": 72.20788, "loss": 0.34289, "time": 0.6649} +{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.24434, "decode.acc_seg": 72.54199, "aux.loss_seg": 0.11922, "aux.acc_seg": 71.23984, "loss": 0.36356, "time": 0.66729} +{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.24007, "decode.acc_seg": 74.01797, "aux.loss_seg": 0.1177, "aux.acc_seg": 72.68955, "loss": 0.35777, "time": 0.66511} +{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.23766, "decode.acc_seg": 73.38118, "aux.loss_seg": 0.11607, "aux.acc_seg": 72.23077, "loss": 0.35373, "time": 0.65843} +{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.24767, "decode.acc_seg": 73.10196, "aux.loss_seg": 0.12192, "aux.acc_seg": 71.82036, "loss": 0.36958, "time": 0.66947} +{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.23183, "decode.acc_seg": 72.43782, "aux.loss_seg": 0.11657, "aux.acc_seg": 70.98274, "loss": 0.3484, "time": 0.67066} +{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.24704, "decode.acc_seg": 73.54214, "aux.loss_seg": 0.1216, "aux.acc_seg": 72.02396, "loss": 0.36864, "time": 0.67337} +{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.24009, "decode.acc_seg": 72.50845, "aux.loss_seg": 0.11714, "aux.acc_seg": 71.16117, "loss": 0.35723, "time": 0.63756} +{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.25362, "decode.acc_seg": 71.4487, "aux.loss_seg": 0.1221, "aux.acc_seg": 70.27945, "loss": 0.37572, "time": 0.66737} +{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.25147, "decode.acc_seg": 72.22494, "aux.loss_seg": 0.12253, "aux.acc_seg": 70.8743, "loss": 0.374, "time": 0.66451} +{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.24458, "decode.acc_seg": 72.88085, "aux.loss_seg": 0.11893, "aux.acc_seg": 71.58171, "loss": 0.36351, "time": 0.65063} +{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.25684, "decode.acc_seg": 73.86165, "aux.loss_seg": 0.12453, "aux.acc_seg": 72.5871, "loss": 0.38137, "time": 0.66376} +{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.25382, "decode.acc_seg": 72.72593, "aux.loss_seg": 0.12487, "aux.acc_seg": 71.39676, "loss": 0.37869, "time": 0.66992} +{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.24565, "decode.acc_seg": 72.84261, "aux.loss_seg": 0.12096, "aux.acc_seg": 71.35584, "loss": 0.36661, "time": 0.66977} +{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.27924, "decode.acc_seg": 72.11007, "aux.loss_seg": 0.13012, "aux.acc_seg": 71.0051, "loss": 0.40936, "time": 0.66669} +{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 22752, "data_time": 0.01029, "decode.loss_seg": 0.25811, "decode.acc_seg": 70.56274, "aux.loss_seg": 0.12452, "aux.acc_seg": 69.18571, "loss": 0.38263, "time": 0.65159} +{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.25815, "decode.acc_seg": 72.65645, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.22599, "loss": 0.38272, "time": 0.66409} +{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.23957, "decode.acc_seg": 73.0637, "aux.loss_seg": 0.11514, "aux.acc_seg": 71.89305, "loss": 0.35471, "time": 0.67853} +{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.25839, "decode.acc_seg": 73.17026, "aux.loss_seg": 0.12402, "aux.acc_seg": 71.77847, "loss": 0.38241, "time": 0.66957} +{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.2638, "decode.acc_seg": 73.32575, "aux.loss_seg": 0.12782, "aux.acc_seg": 72.02198, "loss": 0.39162, "time": 0.65342} +{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.24592, "decode.acc_seg": 71.91614, "aux.loss_seg": 0.12083, "aux.acc_seg": 70.52034, "loss": 0.36675, "time": 0.67144} +{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.26421, "decode.acc_seg": 71.42401, "aux.loss_seg": 0.12869, "aux.acc_seg": 70.08209, "loss": 0.3929, "time": 0.64725} +{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.26672, "decode.acc_seg": 73.42135, "aux.loss_seg": 0.12863, "aux.acc_seg": 72.17962, "loss": 0.39535, "time": 0.64745} +{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.23237, "decode.acc_seg": 71.25053, "aux.loss_seg": 0.11485, "aux.acc_seg": 69.90836, "loss": 0.34722, "time": 0.66641} +{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 22752, "data_time": 0.23293, "decode.loss_seg": 0.24118, "decode.acc_seg": 71.81855, "aux.loss_seg": 0.11768, "aux.acc_seg": 70.53064, "loss": 0.35887, "time": 0.85974} +{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.23232, "decode.acc_seg": 74.21362, "aux.loss_seg": 0.11624, "aux.acc_seg": 72.74913, "loss": 0.34856, "time": 0.67191} +{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.2391, "decode.acc_seg": 72.85991, "aux.loss_seg": 0.11822, "aux.acc_seg": 71.47479, "loss": 0.35731, "time": 0.66756} +{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.23651, "decode.acc_seg": 73.23943, "aux.loss_seg": 0.11774, "aux.acc_seg": 71.7845, "loss": 0.35424, "time": 0.6658} +{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.24778, "decode.acc_seg": 71.43274, "aux.loss_seg": 0.12097, "aux.acc_seg": 70.07598, "loss": 0.36875, "time": 0.66358} +{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.22515, "decode.acc_seg": 72.52901, "aux.loss_seg": 0.11319, "aux.acc_seg": 71.15628, "loss": 0.33834, "time": 0.66721} +{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.24988, "decode.acc_seg": 73.42106, "aux.loss_seg": 0.12312, "aux.acc_seg": 72.02304, "loss": 0.37301, "time": 0.64087} +{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.24835, "decode.acc_seg": 74.0437, "aux.loss_seg": 0.12142, "aux.acc_seg": 72.60471, "loss": 0.36977, "time": 0.67455} +{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 22752, "data_time": 0.00981, "decode.loss_seg": 0.25037, "decode.acc_seg": 71.37223, "aux.loss_seg": 0.12021, "aux.acc_seg": 70.11523, "loss": 0.37058, "time": 0.67205} +{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.26059, "decode.acc_seg": 72.59753, "aux.loss_seg": 0.12605, "aux.acc_seg": 71.42439, "loss": 0.38664, "time": 0.65373} +{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.25564, "decode.acc_seg": 72.31237, "aux.loss_seg": 0.12594, "aux.acc_seg": 70.7674, "loss": 0.38157, "time": 0.66784} +{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.25061, "decode.acc_seg": 73.40801, "aux.loss_seg": 0.12113, "aux.acc_seg": 72.11766, "loss": 0.37175, "time": 0.66627} +{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.25681, "decode.acc_seg": 72.4891, "aux.loss_seg": 0.12741, "aux.acc_seg": 70.8971, "loss": 0.38422, "time": 0.66423} +{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.25236, "decode.acc_seg": 72.22535, "aux.loss_seg": 0.12167, "aux.acc_seg": 70.9032, "loss": 0.37403, "time": 0.6224} +{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.23763, "decode.acc_seg": 73.29958, "aux.loss_seg": 0.11517, "aux.acc_seg": 72.02691, "loss": 0.3528, "time": 0.65808} +{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.23793, "decode.acc_seg": 73.80611, "aux.loss_seg": 0.11657, "aux.acc_seg": 72.5214, "loss": 0.3545, "time": 0.67204} +{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 22752, "data_time": 0.00985, "decode.loss_seg": 0.25091, "decode.acc_seg": 73.60661, "aux.loss_seg": 0.12221, "aux.acc_seg": 72.31572, "loss": 0.37312, "time": 0.6371} +{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.22723, "decode.acc_seg": 72.1826, "aux.loss_seg": 0.10976, "aux.acc_seg": 70.9578, "loss": 0.33699, "time": 0.67362} +{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.25565, "decode.acc_seg": 73.54974, "aux.loss_seg": 0.12483, "aux.acc_seg": 72.21588, "loss": 0.38047, "time": 0.64482} +{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.24072, "decode.acc_seg": 73.84342, "aux.loss_seg": 0.11671, "aux.acc_seg": 72.57622, "loss": 0.35743, "time": 0.63738} +{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.24924, "decode.acc_seg": 73.92106, "aux.loss_seg": 0.12249, "aux.acc_seg": 72.4603, "loss": 0.37172, "time": 0.66929} +{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.23227, "decode.acc_seg": 72.55297, "aux.loss_seg": 0.11444, "aux.acc_seg": 71.24803, "loss": 0.3467, "time": 0.66331} +{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.25499, "decode.acc_seg": 72.18844, "aux.loss_seg": 0.12491, "aux.acc_seg": 70.72066, "loss": 0.3799, "time": 0.65644} +{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.24674, "decode.acc_seg": 72.52409, "aux.loss_seg": 0.11791, "aux.acc_seg": 71.30147, "loss": 0.36465, "time": 0.64562} +{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.25936, "decode.acc_seg": 72.9314, "aux.loss_seg": 0.12527, "aux.acc_seg": 71.59848, "loss": 0.38463, "time": 0.65107} +{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 22752, "data_time": 0.23209, "decode.loss_seg": 0.2679, "decode.acc_seg": 71.68392, "aux.loss_seg": 0.12845, "aux.acc_seg": 70.16347, "loss": 0.39636, "time": 0.87012} +{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.25199, "decode.acc_seg": 72.5729, "aux.loss_seg": 0.12222, "aux.acc_seg": 71.25537, "loss": 0.37421, "time": 0.66589} +{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.24311, "decode.acc_seg": 73.47016, "aux.loss_seg": 0.11924, "aux.acc_seg": 72.07136, "loss": 0.36235, "time": 0.65322} +{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.23875, "decode.acc_seg": 72.91436, "aux.loss_seg": 0.1164, "aux.acc_seg": 71.58968, "loss": 0.35515, "time": 0.64777} +{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.23915, "decode.acc_seg": 73.40641, "aux.loss_seg": 0.11749, "aux.acc_seg": 72.1565, "loss": 0.35665, "time": 0.65645} +{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.25049, "decode.acc_seg": 71.92592, "aux.loss_seg": 0.12402, "aux.acc_seg": 70.48473, "loss": 0.37451, "time": 0.67108} +{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.24091, "decode.acc_seg": 72.9475, "aux.loss_seg": 0.11958, "aux.acc_seg": 71.50566, "loss": 0.36049, "time": 0.66001} +{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.24817, "decode.acc_seg": 74.57909, "aux.loss_seg": 0.12254, "aux.acc_seg": 73.24428, "loss": 0.37071, "time": 0.66735} +{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.2451, "decode.acc_seg": 73.44795, "aux.loss_seg": 0.12095, "aux.acc_seg": 72.09455, "loss": 0.36605, "time": 0.67005} +{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.23403, "decode.acc_seg": 72.86947, "aux.loss_seg": 0.11687, "aux.acc_seg": 71.65927, "loss": 0.35091, "time": 0.67724} +{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.24043, "decode.acc_seg": 73.16588, "aux.loss_seg": 0.11759, "aux.acc_seg": 71.97273, "loss": 0.35801, "time": 0.64616} +{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.23412, "decode.acc_seg": 71.20798, "aux.loss_seg": 0.11478, "aux.acc_seg": 69.93615, "loss": 0.34889, "time": 0.67069} +{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.25624, "decode.acc_seg": 72.57435, "aux.loss_seg": 0.12181, "aux.acc_seg": 71.48444, "loss": 0.37805, "time": 0.66473} +{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.23032, "decode.acc_seg": 73.46628, "aux.loss_seg": 0.11374, "aux.acc_seg": 72.12474, "loss": 0.34406, "time": 0.6468} +{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.23446, "decode.acc_seg": 73.19708, "aux.loss_seg": 0.11624, "aux.acc_seg": 71.7785, "loss": 0.3507, "time": 0.65564} +{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.23316, "decode.acc_seg": 73.3201, "aux.loss_seg": 0.11447, "aux.acc_seg": 72.05868, "loss": 0.34762, "time": 0.68008} +{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.25, "decode.acc_seg": 73.28647, "aux.loss_seg": 0.12124, "aux.acc_seg": 72.00788, "loss": 0.37125, "time": 0.67204} +{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.24793, "decode.acc_seg": 72.88169, "aux.loss_seg": 0.12199, "aux.acc_seg": 71.50963, "loss": 0.36992, "time": 0.66261} +{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.23613, "decode.acc_seg": 73.77087, "aux.loss_seg": 0.11357, "aux.acc_seg": 72.65669, "loss": 0.34969, "time": 0.65775} +{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.23011, "decode.acc_seg": 72.72275, "aux.loss_seg": 0.11256, "aux.acc_seg": 71.45696, "loss": 0.34266, "time": 0.67299} +{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.25742, "decode.acc_seg": 71.3347, "aux.loss_seg": 0.12645, "aux.acc_seg": 69.94055, "loss": 0.38387, "time": 0.66731} +{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.23022, "decode.acc_seg": 72.40253, "aux.loss_seg": 0.11356, "aux.acc_seg": 71.02088, "loss": 0.34377, "time": 0.66038} +{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 22752, "data_time": 0.01078, "decode.loss_seg": 0.24975, "decode.acc_seg": 74.14582, "aux.loss_seg": 0.1213, "aux.acc_seg": 72.82745, "loss": 0.37105, "time": 0.67593} +{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.25943, "decode.acc_seg": 72.43461, "aux.loss_seg": 0.1258, "aux.acc_seg": 71.00509, "loss": 0.38523, "time": 0.66941} +{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.25057, "decode.acc_seg": 73.24767, "aux.loss_seg": 0.12421, "aux.acc_seg": 71.64791, "loss": 0.37478, "time": 0.67632} +{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.25941, "decode.acc_seg": 73.74031, "aux.loss_seg": 0.12642, "aux.acc_seg": 72.34537, "loss": 0.38584, "time": 0.64647} +{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 22752, "data_time": 0.23477, "decode.loss_seg": 0.22948, "decode.acc_seg": 72.49292, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.11505, "loss": 0.34343, "time": 0.88186} +{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.24021, "decode.acc_seg": 72.64144, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.38049, "loss": 0.35894, "time": 0.65491} +{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.23755, "decode.acc_seg": 72.96851, "aux.loss_seg": 0.11642, "aux.acc_seg": 71.7386, "loss": 0.35396, "time": 0.66775} +{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.24867, "decode.acc_seg": 72.45386, "aux.loss_seg": 0.1183, "aux.acc_seg": 71.29195, "loss": 0.36697, "time": 0.66948} +{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.21967, "decode.acc_seg": 73.1644, "aux.loss_seg": 0.11079, "aux.acc_seg": 71.82422, "loss": 0.33046, "time": 0.65414} +{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.24119, "decode.acc_seg": 72.85797, "aux.loss_seg": 0.11751, "aux.acc_seg": 71.51494, "loss": 0.3587, "time": 0.66824} +{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.24275, "decode.acc_seg": 73.12048, "aux.loss_seg": 0.11816, "aux.acc_seg": 71.74577, "loss": 0.36092, "time": 0.6575} +{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.24494, "decode.acc_seg": 73.14949, "aux.loss_seg": 0.12139, "aux.acc_seg": 71.62778, "loss": 0.36633, "time": 0.64989} +{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.23714, "decode.acc_seg": 72.99913, "aux.loss_seg": 0.11624, "aux.acc_seg": 71.79456, "loss": 0.35338, "time": 0.65346} +{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.24797, "decode.acc_seg": 72.9524, "aux.loss_seg": 0.12046, "aux.acc_seg": 71.51146, "loss": 0.36844, "time": 0.65327} +{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.22523, "decode.acc_seg": 72.30029, "aux.loss_seg": 0.11206, "aux.acc_seg": 70.99159, "loss": 0.33729, "time": 0.63933} +{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.24209, "decode.acc_seg": 73.74861, "aux.loss_seg": 0.11855, "aux.acc_seg": 72.35176, "loss": 0.36064, "time": 0.64235} +{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.23669, "decode.acc_seg": 72.24762, "aux.loss_seg": 0.11599, "aux.acc_seg": 70.91147, "loss": 0.35267, "time": 0.65392} +{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 22752, "data_time": 0.00777, "decode.loss_seg": 0.24875, "decode.acc_seg": 73.75394, "aux.loss_seg": 0.12179, "aux.acc_seg": 72.4372, "loss": 0.37055, "time": 0.65878} +{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.24721, "decode.acc_seg": 71.28422, "aux.loss_seg": 0.12109, "aux.acc_seg": 69.79753, "loss": 0.3683, "time": 0.65142} +{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.24291, "decode.acc_seg": 72.78763, "aux.loss_seg": 0.11889, "aux.acc_seg": 71.59291, "loss": 0.3618, "time": 0.65237} +{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4638, "mAcc": 0.5892, "aAcc": 0.8175, "IoU.wall": 0.7564, "IoU.building": 0.8127, "IoU.sky": 0.9358, "IoU.floor": 0.805, "IoU.tree": 0.7324, "IoU.ceiling": 0.8347, "IoU.road": 0.8142, "IoU.bed ": 0.8472, "IoU.windowpane": 0.5935, "IoU.grass": 0.7037, "IoU.cabinet": 0.5452, "IoU.sidewalk": 0.6136, "IoU.person": 0.7693, "IoU.earth": 0.3897, "IoU.door": 0.4588, "IoU.table": 0.5621, "IoU.mountain": 0.603, "IoU.plant": 0.5124, "IoU.curtain": 0.7038, "IoU.chair": 0.5256, "IoU.car": 0.8214, "IoU.water": 0.5566, "IoU.painting": 0.6696, "IoU.sofa": 0.5827, "IoU.shelf": 0.4181, "IoU.house": 0.4565, "IoU.sea": 0.5147, "IoU.mirror": 0.6429, "IoU.rug": 0.6448, "IoU.field": 0.3294, "IoU.armchair": 0.3306, "IoU.seat": 0.5971, "IoU.fence": 0.3669, "IoU.desk": 0.4121, "IoU.rock": 0.4761, "IoU.wardrobe": 0.4519, "IoU.lamp": 0.5763, "IoU.bathtub": 0.7183, "IoU.railing": 0.3544, "IoU.cushion": 0.501, "IoU.base": 0.2409, "IoU.box": 0.233, "IoU.column": 0.4717, "IoU.signboard": 0.3308, "IoU.chest of drawers": 0.2834, "IoU.counter": 0.24, "IoU.sand": 0.4262, "IoU.sink": 0.6602, "IoU.skyscraper": 0.5995, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6641, "IoU.grandstand": 0.4029, "IoU.path": 0.2086, "IoU.stairs": 0.2832, "IoU.runway": 0.7319, "IoU.case": 0.4507, "IoU.pool table": 0.8993, "IoU.pillow": 0.5191, "IoU.screen door": 0.7247, "IoU.stairway": 0.3537, "IoU.river": 0.0822, "IoU.bridge": 0.6643, "IoU.bookcase": 0.3882, "IoU.blind": NaN, "IoU.coffee table": 0.5243, "IoU.toilet": 0.7992, "IoU.flower": 0.417, "IoU.book": 0.4551, "IoU.hill": 0.1073, "IoU.bench": 0.4441, "IoU.countertop": 0.4625, "IoU.stove": 0.6794, "IoU.palm": 0.469, "IoU.kitchen island": 0.3371, "IoU.computer": 0.6533, "IoU.swivel chair": 0.4423, "IoU.boat": 0.4308, "IoU.bar": 0.2805, "IoU.arcade machine": 0.7775, "IoU.hovel": 0.2407, "IoU.bus": 0.8944, "IoU.towel": 0.6298, "IoU.light": 0.5447, "IoU.truck": 0.3748, "IoU.tower": 0.0939, "IoU.chandelier": 0.6036, "IoU.awning": 0.2192, "IoU.streetlight": 0.2208, "IoU.booth": 0.5614, "IoU.television receiver": NaN, "IoU.airplane": 0.5652, "IoU.dirt track": 0.0623, "IoU.apparel": 0.2684, "IoU.pole": 0.2139, "IoU.land": 0.0164, "IoU.bannister": 0.128, "IoU.escalator": 0.3339, "IoU.ottoman": 0.3805, "IoU.bottle": NaN, "IoU.buffet": 0.4028, "IoU.poster": 0.2615, "IoU.stage": 0.165, "IoU.van": 0.3903, "IoU.ship": 0.6196, "IoU.fountain": 0.381, "IoU.conveyer belt": 0.7494, "IoU.canopy": 0.1569, "IoU.washer": 0.7578, "IoU.plaything": 0.1832, "IoU.swimming pool": 0.5604, "IoU.stool": 0.349, "IoU.barrel": 0.5581, "IoU.basket": 0.2983, "IoU.waterfall": 0.7084, "IoU.tent": 0.8893, "IoU.bag": 0.0873, "IoU.minibike": 0.7575, "IoU.cradle": NaN, "IoU.oven": 0.2156, "IoU.ball": 0.4942, "IoU.food": 0.2707, "IoU.step": 0.1213, "IoU.tank": 0.4622, "IoU.trade name": 0.2831, "IoU.microwave": 0.3764, "IoU.pot": 0.4716, "IoU.animal": NaN, "IoU.bicycle": 0.5019, "IoU.lake": 0.6025, "IoU.dishwasher": 0.5363, "IoU.screen": 0.6538, "IoU.blanket": 0.1793, "IoU.sculpture": 0.5676, "IoU.hood": 0.572, "IoU.sconce": 0.4252, "IoU.vase": 0.3107, "IoU.traffic light": 0.2653, "IoU.tray": 0.0687, "IoU.ashcan": 0.3523, "IoU.fan": 0.5725, "IoU.pier": 0.215, "IoU.crt screen": 0.0454, "IoU.plate": 0.4914, "IoU.monitor": 0.1044, "IoU.bulletin board": 0.385, "IoU.shower": 0.0512, "IoU.radiator": 0.5491, "IoU.glass": 0.131, "IoU.clock": 0.3534, "IoU.flag": 0.4484, "Acc.wall": 0.8675, "Acc.building": 0.9199, "Acc.sky": 0.9741, "Acc.floor": 0.8925, "Acc.tree": 0.8538, "Acc.ceiling": 0.9102, "Acc.road": 0.8929, "Acc.bed ": 0.9475, "Acc.windowpane": 0.7657, "Acc.grass": 0.8404, "Acc.cabinet": 0.6636, "Acc.sidewalk": 0.7708, "Acc.person": 0.904, "Acc.earth": 0.5188, "Acc.door": 0.5807, "Acc.table": 0.7486, "Acc.mountain": 0.755, "Acc.plant": 0.6367, "Acc.curtain": 0.8446, "Acc.chair": 0.6636, "Acc.car": 0.9036, "Acc.water": 0.72, "Acc.painting": 0.8603, "Acc.sofa": 0.787, "Acc.shelf": 0.6538, "Acc.house": 0.6292, "Acc.sea": 0.6903, "Acc.mirror": 0.7441, "Acc.rug": 0.7292, "Acc.field": 0.5361, "Acc.armchair": 0.4871, "Acc.seat": 0.7558, "Acc.fence": 0.4875, "Acc.desk": 0.7193, "Acc.rock": 0.7548, "Acc.wardrobe": 0.5907, "Acc.lamp": 0.7376, "Acc.bathtub": 0.833, "Acc.railing": 0.4762, "Acc.cushion": 0.6792, "Acc.base": 0.3739, "Acc.box": 0.2928, "Acc.column": 0.6292, "Acc.signboard": 0.4535, "Acc.chest of drawers": 0.5227, "Acc.counter": 0.3053, "Acc.sand": 0.5972, "Acc.sink": 0.7541, "Acc.skyscraper": 0.7642, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8578, "Acc.grandstand": 0.7877, "Acc.path": 0.3062, "Acc.stairs": 0.3833, "Acc.runway": 0.9806, "Acc.case": 0.5252, "Acc.pool table": 0.9575, "Acc.pillow": 0.6137, "Acc.screen door": 0.842, "Acc.stairway": 0.4792, "Acc.river": 0.1342, "Acc.bridge": 0.7803, "Acc.bookcase": 0.4973, "Acc.blind": NaN, "Acc.coffee table": 0.7836, "Acc.toilet": 0.8878, "Acc.flower": 0.5459, "Acc.book": 0.6486, "Acc.hill": 0.1641, "Acc.bench": 0.5396, "Acc.countertop": 0.6239, "Acc.stove": 0.7661, "Acc.palm": 0.6857, "Acc.kitchen island": 0.8079, "Acc.computer": 0.8053, "Acc.swivel chair": 0.6319, "Acc.boat": 0.4986, "Acc.bar": 0.4037, "Acc.arcade machine": 0.8785, "Acc.hovel": 0.2796, "Acc.bus": 0.9562, "Acc.towel": 0.7502, "Acc.light": 0.6345, "Acc.truck": 0.4977, "Acc.tower": 0.1249, "Acc.chandelier": 0.7636, "Acc.awning": 0.2399, "Acc.streetlight": 0.2628, "Acc.booth": 0.6813, "Acc.television receiver": NaN, "Acc.airplane": 0.652, "Acc.dirt track": 0.24, "Acc.apparel": 0.4777, "Acc.pole": 0.3078, "Acc.land": 0.022, "Acc.bannister": 0.1919, "Acc.escalator": 0.5655, "Acc.ottoman": 0.5442, "Acc.bottle": NaN, "Acc.buffet": 0.4753, "Acc.poster": 0.3178, "Acc.stage": 0.2485, "Acc.van": 0.5092, "Acc.ship": 0.9257, "Acc.fountain": 0.391, "Acc.conveyer belt": 0.9235, "Acc.canopy": 0.2133, "Acc.washer": 0.7872, "Acc.plaything": 0.2378, "Acc.swimming pool": 0.8048, "Acc.stool": 0.4542, "Acc.barrel": 0.7063, "Acc.basket": 0.366, "Acc.waterfall": 0.906, "Acc.tent": 0.9795, "Acc.bag": 0.1032, "Acc.minibike": 0.8803, "Acc.cradle": NaN, "Acc.oven": 0.6411, "Acc.ball": 0.5791, "Acc.food": 0.288, "Acc.step": 0.1353, "Acc.tank": 0.5913, "Acc.trade name": 0.3194, "Acc.microwave": 0.4023, "Acc.pot": 0.5259, "Acc.animal": NaN, "Acc.bicycle": 0.6949, "Acc.lake": 0.6445, "Acc.dishwasher": 0.7108, "Acc.screen": 0.842, "Acc.blanket": 0.2219, "Acc.sculpture": 0.7059, "Acc.hood": 0.6591, "Acc.sconce": 0.5096, "Acc.vase": 0.393, "Acc.traffic light": 0.4184, "Acc.tray": 0.1229, "Acc.ashcan": 0.4685, "Acc.fan": 0.7541, "Acc.pier": 0.2267, "Acc.crt screen": 0.1468, "Acc.plate": 0.6756, "Acc.monitor": 0.1202, "Acc.bulletin board": 0.5023, "Acc.shower": 0.0578, "Acc.radiator": 0.7358, "Acc.glass": 0.1416, "Acc.clock": 0.4492, "Acc.flag": 0.5094} +{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 22752, "data_time": 1.59253, "decode.loss_seg": 0.23612, "decode.acc_seg": 73.00798, "aux.loss_seg": 0.1149, "aux.acc_seg": 71.79651, "loss": 0.35102, "time": 2.24734} +{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.23204, "decode.acc_seg": 72.60188, "aux.loss_seg": 0.11376, "aux.acc_seg": 71.3895, "loss": 0.3458, "time": 0.66233} +{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.24371, "decode.acc_seg": 72.79593, "aux.loss_seg": 0.12265, "aux.acc_seg": 71.31592, "loss": 0.36636, "time": 0.66937} +{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 22752, "data_time": 0.00784, "decode.loss_seg": 0.24686, "decode.acc_seg": 72.3548, "aux.loss_seg": 0.12113, "aux.acc_seg": 70.81445, "loss": 0.36799, "time": 0.6417} +{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.23486, "decode.acc_seg": 73.98683, "aux.loss_seg": 0.11548, "aux.acc_seg": 72.58619, "loss": 0.35034, "time": 0.67163} +{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.2517, "decode.acc_seg": 73.28634, "aux.loss_seg": 0.12467, "aux.acc_seg": 71.75507, "loss": 0.37636, "time": 0.67835} +{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.2391, "decode.acc_seg": 71.4939, "aux.loss_seg": 0.11782, "aux.acc_seg": 70.16883, "loss": 0.35692, "time": 0.66084} +{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.22449, "decode.acc_seg": 72.18678, "aux.loss_seg": 0.11034, "aux.acc_seg": 70.84812, "loss": 0.33483, "time": 0.6439} +{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 22752, "data_time": 0.22769, "decode.loss_seg": 0.2401, "decode.acc_seg": 72.87763, "aux.loss_seg": 0.11777, "aux.acc_seg": 71.41867, "loss": 0.35787, "time": 0.86396} +{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.25121, "decode.acc_seg": 72.65673, "aux.loss_seg": 0.12181, "aux.acc_seg": 71.34455, "loss": 0.37303, "time": 0.67006} +{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.22776, "decode.acc_seg": 73.85038, "aux.loss_seg": 0.1115, "aux.acc_seg": 72.63736, "loss": 0.33926, "time": 0.65434} +{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.22679, "decode.acc_seg": 72.84253, "aux.loss_seg": 0.11321, "aux.acc_seg": 71.52858, "loss": 0.34001, "time": 0.65736} +{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.22431, "decode.acc_seg": 73.33687, "aux.loss_seg": 0.11154, "aux.acc_seg": 72.00373, "loss": 0.33585, "time": 0.66847} +{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.22689, "decode.acc_seg": 72.66354, "aux.loss_seg": 0.11188, "aux.acc_seg": 71.32866, "loss": 0.33877, "time": 0.65817} +{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.2375, "decode.acc_seg": 72.97434, "aux.loss_seg": 0.118, "aux.acc_seg": 71.5151, "loss": 0.3555, "time": 0.66179} +{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.23319, "decode.acc_seg": 73.01337, "aux.loss_seg": 0.1147, "aux.acc_seg": 71.67991, "loss": 0.34789, "time": 0.65561} +{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.2244, "decode.acc_seg": 72.06767, "aux.loss_seg": 0.1115, "aux.acc_seg": 70.6661, "loss": 0.3359, "time": 0.67675} +{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.24016, "decode.acc_seg": 73.38164, "aux.loss_seg": 0.11908, "aux.acc_seg": 71.86168, "loss": 0.35924, "time": 0.6544} +{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.24695, "decode.acc_seg": 73.10678, "aux.loss_seg": 0.12175, "aux.acc_seg": 71.70272, "loss": 0.36871, "time": 0.65432} +{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.24518, "decode.acc_seg": 72.17154, "aux.loss_seg": 0.11972, "aux.acc_seg": 70.87323, "loss": 0.3649, "time": 0.66585} +{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.24029, "decode.acc_seg": 73.48284, "aux.loss_seg": 0.1173, "aux.acc_seg": 72.21245, "loss": 0.3576, "time": 0.67043} +{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.23368, "decode.acc_seg": 73.2491, "aux.loss_seg": 0.11489, "aux.acc_seg": 71.91297, "loss": 0.34856, "time": 0.66818} +{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.23418, "decode.acc_seg": 73.1415, "aux.loss_seg": 0.116, "aux.acc_seg": 71.73589, "loss": 0.35017, "time": 0.66575} +{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.24071, "decode.acc_seg": 73.03367, "aux.loss_seg": 0.11892, "aux.acc_seg": 71.64826, "loss": 0.35963, "time": 0.66675} +{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.24295, "decode.acc_seg": 73.75772, "aux.loss_seg": 0.11816, "aux.acc_seg": 72.42242, "loss": 0.3611, "time": 0.64127} +{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.24093, "decode.acc_seg": 72.5098, "aux.loss_seg": 0.11837, "aux.acc_seg": 71.10694, "loss": 0.3593, "time": 0.65645} +{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.23582, "decode.acc_seg": 74.13266, "aux.loss_seg": 0.11675, "aux.acc_seg": 72.61521, "loss": 0.35257, "time": 0.64293} +{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.23929, "decode.acc_seg": 72.86765, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.3299, "loss": 0.35803, "time": 0.64798} +{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.23798, "decode.acc_seg": 72.97552, "aux.loss_seg": 0.11637, "aux.acc_seg": 71.69892, "loss": 0.35436, "time": 0.65408} +{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.22833, "decode.acc_seg": 73.14519, "aux.loss_seg": 0.11158, "aux.acc_seg": 71.8874, "loss": 0.33991, "time": 0.65571} +{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.24254, "decode.acc_seg": 74.25145, "aux.loss_seg": 0.11746, "aux.acc_seg": 73.06561, "loss": 0.36001, "time": 0.64873} +{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.23761, "decode.acc_seg": 73.39977, "aux.loss_seg": 0.11603, "aux.acc_seg": 72.199, "loss": 0.35364, "time": 0.66987} +{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.23684, "decode.acc_seg": 73.37138, "aux.loss_seg": 0.11463, "aux.acc_seg": 72.19115, "loss": 0.35147, "time": 0.64541} +{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 22752, "data_time": 0.22918, "decode.loss_seg": 0.23746, "decode.acc_seg": 72.06085, "aux.loss_seg": 0.11444, "aux.acc_seg": 70.78534, "loss": 0.3519, "time": 0.8635} +{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.23246, "decode.acc_seg": 71.4997, "aux.loss_seg": 0.11559, "aux.acc_seg": 70.04786, "loss": 0.34805, "time": 0.67207} +{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.22499, "decode.acc_seg": 73.30935, "aux.loss_seg": 0.11245, "aux.acc_seg": 71.87552, "loss": 0.33744, "time": 0.66543} +{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.22267, "decode.acc_seg": 74.10838, "aux.loss_seg": 0.11075, "aux.acc_seg": 72.76026, "loss": 0.33343, "time": 0.66464} +{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.22532, "decode.acc_seg": 74.15894, "aux.loss_seg": 0.10948, "aux.acc_seg": 73.02618, "loss": 0.3348, "time": 0.66664} +{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.21862, "decode.acc_seg": 74.67133, "aux.loss_seg": 0.10652, "aux.acc_seg": 73.4807, "loss": 0.32514, "time": 0.66843} +{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.24838, "decode.acc_seg": 72.40906, "aux.loss_seg": 0.12067, "aux.acc_seg": 71.10689, "loss": 0.36905, "time": 0.65927} +{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.22887, "decode.acc_seg": 72.61788, "aux.loss_seg": 0.11545, "aux.acc_seg": 71.19367, "loss": 0.34432, "time": 0.67972} +{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.24051, "decode.acc_seg": 73.31295, "aux.loss_seg": 0.11733, "aux.acc_seg": 71.92037, "loss": 0.35784, "time": 0.67826} +{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.23347, "decode.acc_seg": 73.85665, "aux.loss_seg": 0.11636, "aux.acc_seg": 72.45767, "loss": 0.34983, "time": 0.67231} +{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.23549, "decode.acc_seg": 73.18542, "aux.loss_seg": 0.11607, "aux.acc_seg": 71.92596, "loss": 0.35156, "time": 0.64298} +{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.23743, "decode.acc_seg": 74.40207, "aux.loss_seg": 0.11642, "aux.acc_seg": 73.10454, "loss": 0.35385, "time": 0.67116} +{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.23557, "decode.acc_seg": 73.38025, "aux.loss_seg": 0.11672, "aux.acc_seg": 72.08127, "loss": 0.35229, "time": 0.64431} +{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.22879, "decode.acc_seg": 73.22238, "aux.loss_seg": 0.11275, "aux.acc_seg": 71.87075, "loss": 0.34154, "time": 0.66069} +{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 22752, "data_time": 0.00863, "decode.loss_seg": 0.22197, "decode.acc_seg": 71.41226, "aux.loss_seg": 0.10824, "aux.acc_seg": 70.21257, "loss": 0.33021, "time": 0.66614} +{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.23257, "decode.acc_seg": 73.18202, "aux.loss_seg": 0.11561, "aux.acc_seg": 71.75215, "loss": 0.34818, "time": 0.66333} +{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.23617, "decode.acc_seg": 73.29595, "aux.loss_seg": 0.1176, "aux.acc_seg": 71.80338, "loss": 0.35377, "time": 0.65487} +{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.24865, "decode.acc_seg": 74.15869, "aux.loss_seg": 0.12148, "aux.acc_seg": 72.84167, "loss": 0.37013, "time": 0.66089} +{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.24165, "decode.acc_seg": 72.79299, "aux.loss_seg": 0.11842, "aux.acc_seg": 71.36986, "loss": 0.36006, "time": 0.67123} +{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.2465, "decode.acc_seg": 72.21833, "aux.loss_seg": 0.12071, "aux.acc_seg": 70.67509, "loss": 0.36721, "time": 0.68123} +{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.2364, "decode.acc_seg": 73.99542, "aux.loss_seg": 0.11627, "aux.acc_seg": 72.74298, "loss": 0.35267, "time": 0.67119} +{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.23313, "decode.acc_seg": 72.78338, "aux.loss_seg": 0.11597, "aux.acc_seg": 71.34357, "loss": 0.3491, "time": 0.66621} +{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.23303, "decode.acc_seg": 72.90298, "aux.loss_seg": 0.11445, "aux.acc_seg": 71.5746, "loss": 0.34748, "time": 0.66055} +{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.24518, "decode.acc_seg": 74.233, "aux.loss_seg": 0.12288, "aux.acc_seg": 72.742, "loss": 0.36807, "time": 0.6702} +{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.24226, "decode.acc_seg": 72.73307, "aux.loss_seg": 0.1182, "aux.acc_seg": 71.35239, "loss": 0.36047, "time": 0.66835} +{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 22752, "data_time": 0.2275, "decode.loss_seg": 0.25943, "decode.acc_seg": 73.93111, "aux.loss_seg": 0.12667, "aux.acc_seg": 72.71767, "loss": 0.38609, "time": 0.86643} +{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.24778, "decode.acc_seg": 72.19168, "aux.loss_seg": 0.11855, "aux.acc_seg": 70.89484, "loss": 0.36633, "time": 0.64615} +{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.22998, "decode.acc_seg": 73.19212, "aux.loss_seg": 0.1123, "aux.acc_seg": 71.96871, "loss": 0.34229, "time": 0.64701} +{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.23052, "decode.acc_seg": 72.37118, "aux.loss_seg": 0.11547, "aux.acc_seg": 70.77513, "loss": 0.34599, "time": 0.6746} +{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.22973, "decode.acc_seg": 72.47454, "aux.loss_seg": 0.11452, "aux.acc_seg": 71.15636, "loss": 0.34426, "time": 0.66792} +{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.23807, "decode.acc_seg": 72.80731, "aux.loss_seg": 0.11726, "aux.acc_seg": 71.45137, "loss": 0.35533, "time": 0.64334} +{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.24081, "decode.acc_seg": 73.31376, "aux.loss_seg": 0.11996, "aux.acc_seg": 71.74303, "loss": 0.36077, "time": 0.65601} +{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.2279, "decode.acc_seg": 73.93795, "aux.loss_seg": 0.11272, "aux.acc_seg": 72.61896, "loss": 0.34062, "time": 0.66391} +{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.23887, "decode.acc_seg": 73.71068, "aux.loss_seg": 0.11806, "aux.acc_seg": 72.32733, "loss": 0.35693, "time": 0.66874} +{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.22241, "decode.acc_seg": 71.76066, "aux.loss_seg": 0.11039, "aux.acc_seg": 70.38857, "loss": 0.3328, "time": 0.65443} +{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.23167, "decode.acc_seg": 75.38798, "aux.loss_seg": 0.11446, "aux.acc_seg": 74.08184, "loss": 0.34613, "time": 0.65876} +{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.23885, "decode.acc_seg": 73.15754, "aux.loss_seg": 0.11625, "aux.acc_seg": 71.92547, "loss": 0.35511, "time": 0.66738} +{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.22622, "decode.acc_seg": 73.81868, "aux.loss_seg": 0.11125, "aux.acc_seg": 72.60121, "loss": 0.33747, "time": 0.66143} +{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.22761, "decode.acc_seg": 73.52531, "aux.loss_seg": 0.11059, "aux.acc_seg": 72.33297, "loss": 0.3382, "time": 0.65479} +{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.22768, "decode.acc_seg": 74.0943, "aux.loss_seg": 0.11289, "aux.acc_seg": 72.81253, "loss": 0.34056, "time": 0.65599} +{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.22246, "decode.acc_seg": 73.92414, "aux.loss_seg": 0.10909, "aux.acc_seg": 72.73468, "loss": 0.33156, "time": 0.65457} +{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.24176, "decode.acc_seg": 72.18431, "aux.loss_seg": 0.11982, "aux.acc_seg": 70.8572, "loss": 0.36159, "time": 0.67102} +{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.24051, "decode.acc_seg": 73.16787, "aux.loss_seg": 0.11965, "aux.acc_seg": 71.83574, "loss": 0.36016, "time": 0.64145} +{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.23007, "decode.acc_seg": 73.28704, "aux.loss_seg": 0.11476, "aux.acc_seg": 71.88309, "loss": 0.34482, "time": 0.66606} +{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.23842, "decode.acc_seg": 71.85412, "aux.loss_seg": 0.11884, "aux.acc_seg": 70.46399, "loss": 0.35726, "time": 0.67036} +{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.24513, "decode.acc_seg": 72.01027, "aux.loss_seg": 0.1209, "aux.acc_seg": 70.68773, "loss": 0.36602, "time": 0.6586} +{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.22713, "decode.acc_seg": 73.14248, "aux.loss_seg": 0.1091, "aux.acc_seg": 71.99903, "loss": 0.33623, "time": 0.66784} +{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.23256, "decode.acc_seg": 74.1005, "aux.loss_seg": 0.11475, "aux.acc_seg": 72.78314, "loss": 0.34731, "time": 0.65475} +{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.22752, "decode.acc_seg": 73.32043, "aux.loss_seg": 0.11381, "aux.acc_seg": 72.02501, "loss": 0.34133, "time": 0.67661} +{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.23526, "decode.acc_seg": 72.9741, "aux.loss_seg": 0.11592, "aux.acc_seg": 71.64958, "loss": 0.35118, "time": 0.67253} +{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 22752, "data_time": 0.00863, "decode.loss_seg": 0.2252, "decode.acc_seg": 73.26068, "aux.loss_seg": 0.11253, "aux.acc_seg": 71.81943, "loss": 0.33772, "time": 0.63888} +{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 22752, "data_time": 0.2311, "decode.loss_seg": 0.23049, "decode.acc_seg": 74.29925, "aux.loss_seg": 0.11345, "aux.acc_seg": 72.98557, "loss": 0.34394, "time": 0.89965} +{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.22906, "decode.acc_seg": 73.06222, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.95014, "loss": 0.34034, "time": 0.64231} +{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.21902, "decode.acc_seg": 73.63255, "aux.loss_seg": 0.1079, "aux.acc_seg": 72.28213, "loss": 0.32692, "time": 0.66323} +{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.22054, "decode.acc_seg": 73.34181, "aux.loss_seg": 0.1103, "aux.acc_seg": 72.02838, "loss": 0.33084, "time": 0.67277} +{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.20652, "decode.acc_seg": 73.14537, "aux.loss_seg": 0.10238, "aux.acc_seg": 71.84536, "loss": 0.3089, "time": 0.65847} +{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.21916, "decode.acc_seg": 74.12028, "aux.loss_seg": 0.10895, "aux.acc_seg": 72.81736, "loss": 0.32811, "time": 0.66337} +{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 22752, "data_time": 0.0079, "decode.loss_seg": 0.22735, "decode.acc_seg": 74.59725, "aux.loss_seg": 0.11425, "aux.acc_seg": 73.22662, "loss": 0.34161, "time": 0.67338} +{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.227, "decode.acc_seg": 73.92273, "aux.loss_seg": 0.1118, "aux.acc_seg": 72.46328, "loss": 0.33881, "time": 0.67163} +{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.23235, "decode.acc_seg": 72.56215, "aux.loss_seg": 0.11673, "aux.acc_seg": 71.11948, "loss": 0.34909, "time": 0.66234} +{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.22503, "decode.acc_seg": 73.01407, "aux.loss_seg": 0.11323, "aux.acc_seg": 71.67751, "loss": 0.33826, "time": 0.66922} +{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.24302, "decode.acc_seg": 74.68797, "aux.loss_seg": 0.12133, "aux.acc_seg": 73.27764, "loss": 0.36435, "time": 0.66938} +{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.2187, "decode.acc_seg": 73.10665, "aux.loss_seg": 0.10793, "aux.acc_seg": 71.82318, "loss": 0.32663, "time": 0.64846} +{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.21413, "decode.acc_seg": 72.79546, "aux.loss_seg": 0.10537, "aux.acc_seg": 71.63801, "loss": 0.31949, "time": 0.66115} +{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.22487, "decode.acc_seg": 72.88041, "aux.loss_seg": 0.10989, "aux.acc_seg": 71.61539, "loss": 0.33476, "time": 0.67073} +{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.23534, "decode.acc_seg": 72.71855, "aux.loss_seg": 0.116, "aux.acc_seg": 71.37665, "loss": 0.35134, "time": 0.65804} +{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.2247, "decode.acc_seg": 73.30567, "aux.loss_seg": 0.11154, "aux.acc_seg": 71.95479, "loss": 0.33624, "time": 0.67367} +{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.23358, "decode.acc_seg": 72.94331, "aux.loss_seg": 0.11418, "aux.acc_seg": 71.54614, "loss": 0.34776, "time": 0.65477} +{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.24668, "decode.acc_seg": 72.89623, "aux.loss_seg": 0.12352, "aux.acc_seg": 71.35701, "loss": 0.3702, "time": 0.65961} +{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.22755, "decode.acc_seg": 73.06504, "aux.loss_seg": 0.1109, "aux.acc_seg": 71.88242, "loss": 0.33844, "time": 0.6779} +{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.22977, "decode.acc_seg": 71.91805, "aux.loss_seg": 0.11374, "aux.acc_seg": 70.55703, "loss": 0.34351, "time": 0.67098} +{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.22219, "decode.acc_seg": 74.06757, "aux.loss_seg": 0.11136, "aux.acc_seg": 72.68433, "loss": 0.33354, "time": 0.65437} +{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.21866, "decode.acc_seg": 73.14415, "aux.loss_seg": 0.10963, "aux.acc_seg": 71.75044, "loss": 0.32829, "time": 0.6396} +{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.23263, "decode.acc_seg": 74.29404, "aux.loss_seg": 0.11551, "aux.acc_seg": 73.01374, "loss": 0.34814, "time": 0.65542} +{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.23221, "decode.acc_seg": 73.00902, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.71082, "loss": 0.34606, "time": 0.65209} +{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.21971, "decode.acc_seg": 73.67994, "aux.loss_seg": 0.10829, "aux.acc_seg": 72.35012, "loss": 0.328, "time": 0.67108} +{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 22752, "data_time": 0.2334, "decode.loss_seg": 0.21904, "decode.acc_seg": 73.48914, "aux.loss_seg": 0.10944, "aux.acc_seg": 72.18683, "loss": 0.32849, "time": 0.87065} +{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.23144, "decode.acc_seg": 73.93188, "aux.loss_seg": 0.1147, "aux.acc_seg": 72.51612, "loss": 0.34615, "time": 0.67679} +{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.23336, "decode.acc_seg": 72.59244, "aux.loss_seg": 0.11535, "aux.acc_seg": 71.32946, "loss": 0.34871, "time": 0.67769} +{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.22582, "decode.acc_seg": 74.06261, "aux.loss_seg": 0.11546, "aux.acc_seg": 72.49422, "loss": 0.34128, "time": 0.66404} +{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.22654, "decode.acc_seg": 74.00967, "aux.loss_seg": 0.1124, "aux.acc_seg": 72.58316, "loss": 0.33893, "time": 0.65617} +{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.22487, "decode.acc_seg": 72.60964, "aux.loss_seg": 0.11195, "aux.acc_seg": 71.16536, "loss": 0.33682, "time": 0.66638} +{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.22761, "decode.acc_seg": 74.97352, "aux.loss_seg": 0.114, "aux.acc_seg": 73.5294, "loss": 0.34161, "time": 0.66979} +{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.22714, "decode.acc_seg": 73.07892, "aux.loss_seg": 0.11123, "aux.acc_seg": 71.82668, "loss": 0.33836, "time": 0.64523} +{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.22859, "decode.acc_seg": 72.86626, "aux.loss_seg": 0.11594, "aux.acc_seg": 71.34431, "loss": 0.34453, "time": 0.65882} +{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.21848, "decode.acc_seg": 74.03183, "aux.loss_seg": 0.10925, "aux.acc_seg": 72.57808, "loss": 0.32773, "time": 0.65761} +{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.23011, "decode.acc_seg": 73.46147, "aux.loss_seg": 0.11312, "aux.acc_seg": 72.24299, "loss": 0.34322, "time": 0.65921} +{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.22638, "decode.acc_seg": 74.29684, "aux.loss_seg": 0.11166, "aux.acc_seg": 73.00774, "loss": 0.33805, "time": 0.6686} +{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.22376, "decode.acc_seg": 72.79152, "aux.loss_seg": 0.11138, "aux.acc_seg": 71.27349, "loss": 0.33514, "time": 0.67099} +{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.2175, "decode.acc_seg": 73.96605, "aux.loss_seg": 0.10774, "aux.acc_seg": 72.73839, "loss": 0.32524, "time": 0.66044} +{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.21818, "decode.acc_seg": 72.12796, "aux.loss_seg": 0.10814, "aux.acc_seg": 70.86636, "loss": 0.32632, "time": 0.67434} +{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.22138, "decode.acc_seg": 74.14131, "aux.loss_seg": 0.10973, "aux.acc_seg": 72.88816, "loss": 0.33111, "time": 0.67285} +{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.21999, "decode.acc_seg": 73.70897, "aux.loss_seg": 0.1093, "aux.acc_seg": 72.42481, "loss": 0.32929, "time": 0.65054} +{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.21406, "decode.acc_seg": 71.83689, "aux.loss_seg": 0.10453, "aux.acc_seg": 70.62809, "loss": 0.31859, "time": 0.67531} +{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.22096, "decode.acc_seg": 73.90924, "aux.loss_seg": 0.11005, "aux.acc_seg": 72.53517, "loss": 0.33101, "time": 0.67277} +{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.23125, "decode.acc_seg": 73.21773, "aux.loss_seg": 0.11277, "aux.acc_seg": 71.99064, "loss": 0.34402, "time": 0.6637} +{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.23813, "decode.acc_seg": 72.55164, "aux.loss_seg": 0.11939, "aux.acc_seg": 71.0271, "loss": 0.35752, "time": 0.65356} +{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.24166, "decode.acc_seg": 73.5816, "aux.loss_seg": 0.11794, "aux.acc_seg": 72.28094, "loss": 0.3596, "time": 0.6576} +{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.22585, "decode.acc_seg": 73.37103, "aux.loss_seg": 0.11097, "aux.acc_seg": 71.94331, "loss": 0.33682, "time": 0.65132} +{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 22752, "data_time": 0.01066, "decode.loss_seg": 0.22627, "decode.acc_seg": 72.18397, "aux.loss_seg": 0.11289, "aux.acc_seg": 70.9417, "loss": 0.33916, "time": 0.66419} +{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.23297, "decode.acc_seg": 72.5518, "aux.loss_seg": 0.11612, "aux.acc_seg": 71.16554, "loss": 0.3491, "time": 0.65799} +{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 22752, "data_time": 0.23113, "decode.loss_seg": 0.23489, "decode.acc_seg": 72.8369, "aux.loss_seg": 0.11533, "aux.acc_seg": 71.61991, "loss": 0.35022, "time": 0.88742} +{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.2182, "decode.acc_seg": 74.78661, "aux.loss_seg": 0.11021, "aux.acc_seg": 73.44953, "loss": 0.32841, "time": 0.62938} +{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.23342, "decode.acc_seg": 74.74602, "aux.loss_seg": 0.1142, "aux.acc_seg": 73.62892, "loss": 0.34761, "time": 0.66735} +{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.23519, "decode.acc_seg": 73.12277, "aux.loss_seg": 0.11603, "aux.acc_seg": 71.7107, "loss": 0.35122, "time": 0.67187} +{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.22161, "decode.acc_seg": 75.66568, "aux.loss_seg": 0.10954, "aux.acc_seg": 74.45209, "loss": 0.33115, "time": 0.66732} +{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.21355, "decode.acc_seg": 72.3741, "aux.loss_seg": 0.10903, "aux.acc_seg": 70.96082, "loss": 0.32258, "time": 0.66706} +{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.22777, "decode.acc_seg": 73.90649, "aux.loss_seg": 0.1135, "aux.acc_seg": 72.69603, "loss": 0.34127, "time": 0.65989} +{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.21516, "decode.acc_seg": 72.99503, "aux.loss_seg": 0.10558, "aux.acc_seg": 71.7202, "loss": 0.32074, "time": 0.66983} +{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.21647, "decode.acc_seg": 74.51742, "aux.loss_seg": 0.10797, "aux.acc_seg": 73.15234, "loss": 0.32444, "time": 0.64895} +{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.23635, "decode.acc_seg": 73.34407, "aux.loss_seg": 0.11573, "aux.acc_seg": 72.02029, "loss": 0.35208, "time": 0.64114} +{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.20818, "decode.acc_seg": 73.17716, "aux.loss_seg": 0.10274, "aux.acc_seg": 71.90846, "loss": 0.31091, "time": 0.66525} +{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.22879, "decode.acc_seg": 74.38153, "aux.loss_seg": 0.11259, "aux.acc_seg": 73.10519, "loss": 0.34138, "time": 0.66643} +{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.22248, "decode.acc_seg": 73.02987, "aux.loss_seg": 0.11119, "aux.acc_seg": 71.61928, "loss": 0.33367, "time": 0.65133} +{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.2514, "decode.acc_seg": 72.78239, "aux.loss_seg": 0.12178, "aux.acc_seg": 71.36342, "loss": 0.37318, "time": 0.65046} +{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.221, "decode.acc_seg": 73.21034, "aux.loss_seg": 0.10942, "aux.acc_seg": 71.78225, "loss": 0.33042, "time": 0.64608} +{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.21606, "decode.acc_seg": 72.92988, "aux.loss_seg": 0.1086, "aux.acc_seg": 71.43565, "loss": 0.32466, "time": 0.65833} +{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.22767, "decode.acc_seg": 74.77898, "aux.loss_seg": 0.11338, "aux.acc_seg": 73.39538, "loss": 0.34105, "time": 0.66708} +{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.24141, "decode.acc_seg": 73.21915, "aux.loss_seg": 0.11856, "aux.acc_seg": 71.85281, "loss": 0.35997, "time": 0.67103} +{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.23533, "decode.acc_seg": 74.65931, "aux.loss_seg": 0.11516, "aux.acc_seg": 73.38679, "loss": 0.35048, "time": 0.64389} +{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.23306, "decode.acc_seg": 73.60272, "aux.loss_seg": 0.11699, "aux.acc_seg": 72.14399, "loss": 0.35004, "time": 0.63965} +{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.20927, "decode.acc_seg": 72.40446, "aux.loss_seg": 0.10767, "aux.acc_seg": 70.94007, "loss": 0.31694, "time": 0.65765} +{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.2268, "decode.acc_seg": 73.72785, "aux.loss_seg": 0.11183, "aux.acc_seg": 72.3591, "loss": 0.33862, "time": 0.6521} +{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.23651, "decode.acc_seg": 74.15559, "aux.loss_seg": 0.11534, "aux.acc_seg": 72.75592, "loss": 0.35185, "time": 0.66126} +{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.23171, "decode.acc_seg": 73.0814, "aux.loss_seg": 0.1154, "aux.acc_seg": 71.63385, "loss": 0.34711, "time": 0.65657} +{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.21962, "decode.acc_seg": 74.06796, "aux.loss_seg": 0.10825, "aux.acc_seg": 72.8602, "loss": 0.32786, "time": 0.6592} +{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 22752, "data_time": 0.23289, "decode.loss_seg": 0.22731, "decode.acc_seg": 73.88875, "aux.loss_seg": 0.11332, "aux.acc_seg": 72.49592, "loss": 0.34063, "time": 0.87823} +{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.21091, "decode.acc_seg": 73.67191, "aux.loss_seg": 0.10714, "aux.acc_seg": 72.14929, "loss": 0.31806, "time": 0.66605} +{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 22752, "data_time": 0.01128, "decode.loss_seg": 0.22522, "decode.acc_seg": 73.12284, "aux.loss_seg": 0.11318, "aux.acc_seg": 71.70264, "loss": 0.3384, "time": 0.6612} +{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.21376, "decode.acc_seg": 74.02692, "aux.loss_seg": 0.10623, "aux.acc_seg": 72.68704, "loss": 0.31999, "time": 0.64257} +{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 22752, "data_time": 0.01063, "decode.loss_seg": 0.20856, "decode.acc_seg": 73.77356, "aux.loss_seg": 0.10678, "aux.acc_seg": 72.38186, "loss": 0.31534, "time": 0.6643} +{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 22752, "data_time": 0.01063, "decode.loss_seg": 0.22616, "decode.acc_seg": 73.63086, "aux.loss_seg": 0.11192, "aux.acc_seg": 72.36018, "loss": 0.33808, "time": 0.6707} +{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.20888, "decode.acc_seg": 74.86433, "aux.loss_seg": 0.10393, "aux.acc_seg": 73.67199, "loss": 0.31281, "time": 0.66155} +{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 22752, "data_time": 0.01035, "decode.loss_seg": 0.21925, "decode.acc_seg": 73.31268, "aux.loss_seg": 0.11075, "aux.acc_seg": 71.81184, "loss": 0.33, "time": 0.66727} +{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.2084, "decode.acc_seg": 73.84112, "aux.loss_seg": 0.10248, "aux.acc_seg": 72.59949, "loss": 0.31088, "time": 0.64808} +{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.2208, "decode.acc_seg": 73.1397, "aux.loss_seg": 0.10944, "aux.acc_seg": 71.79806, "loss": 0.33023, "time": 0.65275} +{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.22696, "decode.acc_seg": 71.98762, "aux.loss_seg": 0.11169, "aux.acc_seg": 70.72468, "loss": 0.33865, "time": 0.66} +{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.2246, "decode.acc_seg": 74.03691, "aux.loss_seg": 0.11159, "aux.acc_seg": 72.72209, "loss": 0.33619, "time": 0.67843} +{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.21582, "decode.acc_seg": 73.75335, "aux.loss_seg": 0.10821, "aux.acc_seg": 72.34114, "loss": 0.32403, "time": 0.66686} +{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.21735, "decode.acc_seg": 72.74638, "aux.loss_seg": 0.10684, "aux.acc_seg": 71.52471, "loss": 0.32419, "time": 0.67013} +{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.23035, "decode.acc_seg": 73.45275, "aux.loss_seg": 0.1127, "aux.acc_seg": 72.30191, "loss": 0.34305, "time": 0.67638} +{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.2118, "decode.acc_seg": 72.64025, "aux.loss_seg": 0.10735, "aux.acc_seg": 71.26249, "loss": 0.31915, "time": 0.65895} +{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.214, "decode.acc_seg": 75.39907, "aux.loss_seg": 0.10674, "aux.acc_seg": 74.06385, "loss": 0.32074, "time": 0.64839} +{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.21654, "decode.acc_seg": 72.02806, "aux.loss_seg": 0.10894, "aux.acc_seg": 70.64753, "loss": 0.32548, "time": 0.64929} +{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.2467, "decode.acc_seg": 72.81033, "aux.loss_seg": 0.11861, "aux.acc_seg": 71.36721, "loss": 0.36531, "time": 0.6692} +{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.23631, "decode.acc_seg": 73.19091, "aux.loss_seg": 0.11644, "aux.acc_seg": 71.78262, "loss": 0.35275, "time": 0.65005} +{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.22127, "decode.acc_seg": 73.89487, "aux.loss_seg": 0.109, "aux.acc_seg": 72.65765, "loss": 0.33028, "time": 0.65169} +{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.22943, "decode.acc_seg": 73.62391, "aux.loss_seg": 0.11264, "aux.acc_seg": 72.30313, "loss": 0.34207, "time": 0.65707} +{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.20873, "decode.acc_seg": 75.36835, "aux.loss_seg": 0.1044, "aux.acc_seg": 74.00923, "loss": 0.31314, "time": 0.65192} +{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.20075, "decode.acc_seg": 73.11723, "aux.loss_seg": 0.10183, "aux.acc_seg": 71.74308, "loss": 0.30257, "time": 0.67959} +{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.22037, "decode.acc_seg": 72.61742, "aux.loss_seg": 0.10788, "aux.acc_seg": 71.46565, "loss": 0.32825, "time": 0.68982} +{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.22627, "decode.acc_seg": 73.05764, "aux.loss_seg": 0.11228, "aux.acc_seg": 71.66103, "loss": 0.33855, "time": 0.67775} +{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 22752, "data_time": 0.23173, "decode.loss_seg": 0.20843, "decode.acc_seg": 73.96484, "aux.loss_seg": 0.10372, "aux.acc_seg": 72.62169, "loss": 0.31215, "time": 0.8954} +{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.2269, "decode.acc_seg": 74.14807, "aux.loss_seg": 0.11245, "aux.acc_seg": 72.83464, "loss": 0.33934, "time": 0.66365} +{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.19819, "decode.acc_seg": 73.12035, "aux.loss_seg": 0.10119, "aux.acc_seg": 71.80365, "loss": 0.29938, "time": 0.65363} +{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.20831, "decode.acc_seg": 72.71508, "aux.loss_seg": 0.10414, "aux.acc_seg": 71.35436, "loss": 0.31244, "time": 0.67327} +{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.20564, "decode.acc_seg": 75.29777, "aux.loss_seg": 0.10194, "aux.acc_seg": 74.11505, "loss": 0.30759, "time": 0.67469} +{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.20881, "decode.acc_seg": 74.62269, "aux.loss_seg": 0.10461, "aux.acc_seg": 73.22649, "loss": 0.31343, "time": 0.66253} +{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.21368, "decode.acc_seg": 72.81433, "aux.loss_seg": 0.10553, "aux.acc_seg": 71.53533, "loss": 0.31921, "time": 0.65145} +{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.22622, "decode.acc_seg": 72.70731, "aux.loss_seg": 0.11242, "aux.acc_seg": 71.2723, "loss": 0.33863, "time": 0.67305} +{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.22144, "decode.acc_seg": 73.80549, "aux.loss_seg": 0.11082, "aux.acc_seg": 72.39258, "loss": 0.33226, "time": 0.67034} +{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.21163, "decode.acc_seg": 74.44146, "aux.loss_seg": 0.10684, "aux.acc_seg": 73.07691, "loss": 0.31847, "time": 0.67405} +{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.21419, "decode.acc_seg": 73.50287, "aux.loss_seg": 0.10784, "aux.acc_seg": 72.04699, "loss": 0.32203, "time": 0.65879} +{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.2064, "decode.acc_seg": 74.10488, "aux.loss_seg": 0.10394, "aux.acc_seg": 72.66909, "loss": 0.31034, "time": 0.66991} +{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.21372, "decode.acc_seg": 73.89004, "aux.loss_seg": 0.10671, "aux.acc_seg": 72.54739, "loss": 0.32042, "time": 0.64267} +{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.2199, "decode.acc_seg": 71.40517, "aux.loss_seg": 0.11205, "aux.acc_seg": 69.91523, "loss": 0.33195, "time": 0.64139} +{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.22204, "decode.acc_seg": 74.32764, "aux.loss_seg": 0.10945, "aux.acc_seg": 72.93679, "loss": 0.33149, "time": 0.65538} +{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.2316, "decode.acc_seg": 73.90989, "aux.loss_seg": 0.11389, "aux.acc_seg": 72.62103, "loss": 0.34549, "time": 0.65518} +{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.2265, "decode.acc_seg": 73.36352, "aux.loss_seg": 0.11212, "aux.acc_seg": 72.02472, "loss": 0.33862, "time": 0.67151} +{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.21644, "decode.acc_seg": 73.19213, "aux.loss_seg": 0.10891, "aux.acc_seg": 71.77742, "loss": 0.32535, "time": 0.67713} +{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.20559, "decode.acc_seg": 72.30245, "aux.loss_seg": 0.10323, "aux.acc_seg": 71.00711, "loss": 0.30882, "time": 0.67381} +{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.22966, "decode.acc_seg": 73.91963, "aux.loss_seg": 0.11461, "aux.acc_seg": 72.43916, "loss": 0.34427, "time": 0.65647} +{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.22551, "decode.acc_seg": 72.94975, "aux.loss_seg": 0.11129, "aux.acc_seg": 71.76612, "loss": 0.3368, "time": 0.66613} +{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.2202, "decode.acc_seg": 73.86683, "aux.loss_seg": 0.10866, "aux.acc_seg": 72.45857, "loss": 0.32886, "time": 0.65265} +{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.20745, "decode.acc_seg": 74.42305, "aux.loss_seg": 0.10379, "aux.acc_seg": 73.13808, "loss": 0.31124, "time": 0.6366} +{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.21656, "decode.acc_seg": 74.41785, "aux.loss_seg": 0.10864, "aux.acc_seg": 73.05636, "loss": 0.3252, "time": 0.66688} +{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.23118, "decode.acc_seg": 72.11021, "aux.loss_seg": 0.11308, "aux.acc_seg": 70.81043, "loss": 0.34427, "time": 0.65687} +{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 22752, "data_time": 0.24, "decode.loss_seg": 0.21403, "decode.acc_seg": 74.3928, "aux.loss_seg": 0.10763, "aux.acc_seg": 73.05079, "loss": 0.32166, "time": 0.89749} +{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.21801, "decode.acc_seg": 74.89275, "aux.loss_seg": 0.10961, "aux.acc_seg": 73.47338, "loss": 0.32762, "time": 0.63852} +{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.22564, "decode.acc_seg": 74.4346, "aux.loss_seg": 0.11247, "aux.acc_seg": 73.03701, "loss": 0.33811, "time": 0.65035} +{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.21637, "decode.acc_seg": 72.37072, "aux.loss_seg": 0.10665, "aux.acc_seg": 71.04577, "loss": 0.32302, "time": 0.67554} +{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.2181, "decode.acc_seg": 74.14168, "aux.loss_seg": 0.10643, "aux.acc_seg": 72.94328, "loss": 0.32453, "time": 0.67631} +{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.21436, "decode.acc_seg": 74.73106, "aux.loss_seg": 0.1076, "aux.acc_seg": 73.24929, "loss": 0.32196, "time": 0.6728} +{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.22096, "decode.acc_seg": 71.96258, "aux.loss_seg": 0.1098, "aux.acc_seg": 70.63481, "loss": 0.33076, "time": 0.67279} +{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.23082, "decode.acc_seg": 72.81882, "aux.loss_seg": 0.11194, "aux.acc_seg": 71.60463, "loss": 0.34276, "time": 0.64286} +{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.21391, "decode.acc_seg": 72.9514, "aux.loss_seg": 0.1076, "aux.acc_seg": 71.5888, "loss": 0.32151, "time": 0.65792} +{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.21466, "decode.acc_seg": 73.33254, "aux.loss_seg": 0.1061, "aux.acc_seg": 72.12781, "loss": 0.32076, "time": 0.66745} +{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.22487, "decode.acc_seg": 73.4702, "aux.loss_seg": 0.11236, "aux.acc_seg": 72.07125, "loss": 0.33723, "time": 0.6582} +{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.21152, "decode.acc_seg": 74.08733, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.81966, "loss": 0.31746, "time": 0.65763} +{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.20216, "decode.acc_seg": 74.28249, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.92798, "loss": 0.30462, "time": 0.64673} +{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.20409, "decode.acc_seg": 73.05018, "aux.loss_seg": 0.10136, "aux.acc_seg": 71.88435, "loss": 0.30544, "time": 0.64013} +{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.23223, "decode.acc_seg": 73.47784, "aux.loss_seg": 0.11377, "aux.acc_seg": 72.18461, "loss": 0.346, "time": 0.66424} +{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.21015, "decode.acc_seg": 73.44342, "aux.loss_seg": 0.10557, "aux.acc_seg": 72.10176, "loss": 0.31572, "time": 0.66893} +{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.23046, "decode.acc_seg": 74.35022, "aux.loss_seg": 0.11498, "aux.acc_seg": 72.95841, "loss": 0.34544, "time": 0.64661} +{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.20887, "decode.acc_seg": 72.57175, "aux.loss_seg": 0.10577, "aux.acc_seg": 71.16862, "loss": 0.31463, "time": 0.64237} +{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.2143, "decode.acc_seg": 73.57794, "aux.loss_seg": 0.10674, "aux.acc_seg": 72.29998, "loss": 0.32104, "time": 0.67293} +{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.22471, "decode.acc_seg": 73.62099, "aux.loss_seg": 0.11078, "aux.acc_seg": 72.25002, "loss": 0.33549, "time": 0.66293} +{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.20964, "decode.acc_seg": 75.07145, "aux.loss_seg": 0.10556, "aux.acc_seg": 73.7192, "loss": 0.3152, "time": 0.67021} +{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.21618, "decode.acc_seg": 74.24893, "aux.loss_seg": 0.10809, "aux.acc_seg": 72.89396, "loss": 0.32426, "time": 0.64499} +{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.22921, "decode.acc_seg": 74.71942, "aux.loss_seg": 0.11615, "aux.acc_seg": 73.16402, "loss": 0.34536, "time": 0.66019} +{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.21395, "decode.acc_seg": 73.64294, "aux.loss_seg": 0.10548, "aux.acc_seg": 72.43055, "loss": 0.31943, "time": 0.63733} +{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.22605, "decode.acc_seg": 73.31959, "aux.loss_seg": 0.11128, "aux.acc_seg": 72.04797, "loss": 0.33733, "time": 0.66402} +{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 22752, "data_time": 0.22709, "decode.loss_seg": 0.20015, "decode.acc_seg": 72.83384, "aux.loss_seg": 0.10139, "aux.acc_seg": 71.29019, "loss": 0.30154, "time": 0.88567} +{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.20728, "decode.acc_seg": 74.0034, "aux.loss_seg": 0.10245, "aux.acc_seg": 72.71827, "loss": 0.30973, "time": 0.65911} +{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.22178, "decode.acc_seg": 73.42774, "aux.loss_seg": 0.11067, "aux.acc_seg": 72.01287, "loss": 0.33244, "time": 0.64878} +{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.23211, "decode.acc_seg": 74.70411, "aux.loss_seg": 0.11394, "aux.acc_seg": 73.40615, "loss": 0.34604, "time": 0.66265} +{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.22295, "decode.acc_seg": 73.31096, "aux.loss_seg": 0.11093, "aux.acc_seg": 71.98954, "loss": 0.33388, "time": 0.67066} +{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.19971, "decode.acc_seg": 74.58645, "aux.loss_seg": 0.10173, "aux.acc_seg": 73.21149, "loss": 0.30144, "time": 0.6537} +{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 22752, "data_time": 0.00828, "decode.loss_seg": 0.20724, "decode.acc_seg": 73.80667, "aux.loss_seg": 0.10408, "aux.acc_seg": 72.47875, "loss": 0.31132, "time": 0.65671} +{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.21035, "decode.acc_seg": 72.30506, "aux.loss_seg": 0.10493, "aux.acc_seg": 70.8825, "loss": 0.31527, "time": 0.65302} +{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.21292, "decode.acc_seg": 73.9405, "aux.loss_seg": 0.10466, "aux.acc_seg": 72.66566, "loss": 0.31758, "time": 0.67204} +{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.21401, "decode.acc_seg": 74.8344, "aux.loss_seg": 0.1072, "aux.acc_seg": 73.44708, "loss": 0.32121, "time": 0.66983} +{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 22752, "data_time": 0.00799, "decode.loss_seg": 0.20152, "decode.acc_seg": 73.16397, "aux.loss_seg": 0.09943, "aux.acc_seg": 71.95815, "loss": 0.30095, "time": 0.66118} +{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.20167, "decode.acc_seg": 73.74106, "aux.loss_seg": 0.10159, "aux.acc_seg": 72.3619, "loss": 0.30326, "time": 0.66147} +{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.21289, "decode.acc_seg": 72.93813, "aux.loss_seg": 0.10919, "aux.acc_seg": 71.41136, "loss": 0.32208, "time": 0.67382} +{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.197, "decode.acc_seg": 74.20307, "aux.loss_seg": 0.0997, "aux.acc_seg": 72.88648, "loss": 0.29669, "time": 0.65174} +{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.22198, "decode.acc_seg": 75.15717, "aux.loss_seg": 0.11478, "aux.acc_seg": 73.48379, "loss": 0.33676, "time": 0.66708} +{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.22114, "decode.acc_seg": 73.5481, "aux.loss_seg": 0.11046, "aux.acc_seg": 71.97145, "loss": 0.3316, "time": 0.67906} +{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.21813, "decode.acc_seg": 73.22372, "aux.loss_seg": 0.11067, "aux.acc_seg": 71.66753, "loss": 0.32881, "time": 0.65495} +{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.20787, "decode.acc_seg": 71.91683, "aux.loss_seg": 0.10561, "aux.acc_seg": 70.58351, "loss": 0.31349, "time": 0.66304} +{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.21339, "decode.acc_seg": 73.60692, "aux.loss_seg": 0.10763, "aux.acc_seg": 72.18588, "loss": 0.32102, "time": 0.66855} +{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.22606, "decode.acc_seg": 74.7137, "aux.loss_seg": 0.1112, "aux.acc_seg": 73.3923, "loss": 0.33726, "time": 0.67263} +{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.21312, "decode.acc_seg": 74.31939, "aux.loss_seg": 0.10601, "aux.acc_seg": 72.97161, "loss": 0.31914, "time": 0.6573} +{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.22033, "decode.acc_seg": 73.18334, "aux.loss_seg": 0.11022, "aux.acc_seg": 71.81937, "loss": 0.33054, "time": 0.67164} +{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.22031, "decode.acc_seg": 73.73872, "aux.loss_seg": 0.10968, "aux.acc_seg": 72.41069, "loss": 0.33, "time": 0.65896} +{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.22702, "decode.acc_seg": 74.67108, "aux.loss_seg": 0.11349, "aux.acc_seg": 73.19707, "loss": 0.34051, "time": 0.65776} +{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.2197, "decode.acc_seg": 73.27582, "aux.loss_seg": 0.10849, "aux.acc_seg": 71.96843, "loss": 0.32819, "time": 0.6651} +{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 22752, "data_time": 0.23614, "decode.loss_seg": 0.21817, "decode.acc_seg": 73.90347, "aux.loss_seg": 0.10876, "aux.acc_seg": 72.57391, "loss": 0.32693, "time": 0.88858} +{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.21424, "decode.acc_seg": 74.28247, "aux.loss_seg": 0.10694, "aux.acc_seg": 73.09241, "loss": 0.32118, "time": 0.65864} +{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.21577, "decode.acc_seg": 74.28591, "aux.loss_seg": 0.10739, "aux.acc_seg": 72.92314, "loss": 0.32316, "time": 0.67307} +{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.21732, "decode.acc_seg": 74.55675, "aux.loss_seg": 0.10901, "aux.acc_seg": 73.04968, "loss": 0.32633, "time": 0.66069} +{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.21103, "decode.acc_seg": 72.71682, "aux.loss_seg": 0.10596, "aux.acc_seg": 71.47865, "loss": 0.31699, "time": 0.63801} +{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.20696, "decode.acc_seg": 73.46093, "aux.loss_seg": 0.10334, "aux.acc_seg": 72.16098, "loss": 0.3103, "time": 0.66351} +{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.20247, "decode.acc_seg": 74.11411, "aux.loss_seg": 0.10208, "aux.acc_seg": 72.75033, "loss": 0.30456, "time": 0.64804} +{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.21132, "decode.acc_seg": 74.89431, "aux.loss_seg": 0.10532, "aux.acc_seg": 73.58612, "loss": 0.31664, "time": 0.66853} +{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.21745, "decode.acc_seg": 73.64373, "aux.loss_seg": 0.10742, "aux.acc_seg": 72.3505, "loss": 0.32487, "time": 0.66531} +{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.20087, "decode.acc_seg": 73.63211, "aux.loss_seg": 0.10172, "aux.acc_seg": 72.30352, "loss": 0.30259, "time": 0.66138} +{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.21278, "decode.acc_seg": 73.71115, "aux.loss_seg": 0.10555, "aux.acc_seg": 72.49038, "loss": 0.31833, "time": 0.66848} +{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.21139, "decode.acc_seg": 73.61903, "aux.loss_seg": 0.10505, "aux.acc_seg": 72.30964, "loss": 0.31643, "time": 0.65276} +{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.20274, "decode.acc_seg": 72.59194, "aux.loss_seg": 0.10214, "aux.acc_seg": 71.28809, "loss": 0.30488, "time": 0.67242} +{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.21923, "decode.acc_seg": 73.19886, "aux.loss_seg": 0.1092, "aux.acc_seg": 71.79022, "loss": 0.32843, "time": 0.6401} +{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.21365, "decode.acc_seg": 74.19023, "aux.loss_seg": 0.10677, "aux.acc_seg": 72.88416, "loss": 0.32041, "time": 0.66697} +{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.2084, "decode.acc_seg": 73.63848, "aux.loss_seg": 0.10563, "aux.acc_seg": 72.30481, "loss": 0.31403, "time": 0.63732} +{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.20537, "decode.acc_seg": 72.59568, "aux.loss_seg": 0.10428, "aux.acc_seg": 71.1846, "loss": 0.30965, "time": 0.67835} +{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.21767, "decode.acc_seg": 74.73404, "aux.loss_seg": 0.1084, "aux.acc_seg": 73.45039, "loss": 0.32607, "time": 0.67794} +{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.20355, "decode.acc_seg": 73.82883, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.51077, "loss": 0.30706, "time": 0.66835} +{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 22752, "data_time": 0.01048, "decode.loss_seg": 0.2142, "decode.acc_seg": 75.0248, "aux.loss_seg": 0.10907, "aux.acc_seg": 73.51462, "loss": 0.32327, "time": 0.67472} +{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.20636, "decode.acc_seg": 73.87134, "aux.loss_seg": 0.10405, "aux.acc_seg": 72.46651, "loss": 0.31041, "time": 0.64346} +{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.21402, "decode.acc_seg": 74.54891, "aux.loss_seg": 0.10755, "aux.acc_seg": 73.22099, "loss": 0.32157, "time": 0.67046} +{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.20927, "decode.acc_seg": 73.5785, "aux.loss_seg": 0.10581, "aux.acc_seg": 72.05307, "loss": 0.31508, "time": 0.66197} +{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.2051, "decode.acc_seg": 72.55099, "aux.loss_seg": 0.10278, "aux.acc_seg": 71.27151, "loss": 0.30788, "time": 0.64417} +{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.19961, "decode.acc_seg": 72.86795, "aux.loss_seg": 0.10123, "aux.acc_seg": 71.53206, "loss": 0.30084, "time": 0.64414} +{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.21742, "decode.acc_seg": 74.46194, "aux.loss_seg": 0.10856, "aux.acc_seg": 73.11798, "loss": 0.32597, "time": 0.66917} +{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 22752, "data_time": 0.23639, "decode.loss_seg": 0.22109, "decode.acc_seg": 73.17066, "aux.loss_seg": 0.10905, "aux.acc_seg": 71.83688, "loss": 0.33015, "time": 0.88728} +{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.20885, "decode.acc_seg": 74.07012, "aux.loss_seg": 0.10448, "aux.acc_seg": 72.74029, "loss": 0.31334, "time": 0.66826} +{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.20224, "decode.acc_seg": 75.19389, "aux.loss_seg": 0.10434, "aux.acc_seg": 73.65095, "loss": 0.30658, "time": 0.66891} +{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 22752, "data_time": 0.01041, "decode.loss_seg": 0.20337, "decode.acc_seg": 75.11343, "aux.loss_seg": 0.10111, "aux.acc_seg": 73.94295, "loss": 0.30449, "time": 0.64998} +{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.19475, "decode.acc_seg": 74.60267, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.30404, "loss": 0.29242, "time": 0.66786} +{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 22752, "data_time": 0.01077, "decode.loss_seg": 0.20436, "decode.acc_seg": 74.0614, "aux.loss_seg": 0.10397, "aux.acc_seg": 72.72168, "loss": 0.30833, "time": 0.66202} +{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.21725, "decode.acc_seg": 73.50355, "aux.loss_seg": 0.10908, "aux.acc_seg": 72.1628, "loss": 0.32633, "time": 0.66004} +{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.20776, "decode.acc_seg": 75.55894, "aux.loss_seg": 0.10507, "aux.acc_seg": 74.19745, "loss": 0.31283, "time": 0.66752} +{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.20494, "decode.acc_seg": 74.75121, "aux.loss_seg": 0.10233, "aux.acc_seg": 73.44114, "loss": 0.30727, "time": 0.66904} +{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.20872, "decode.acc_seg": 75.51299, "aux.loss_seg": 0.1073, "aux.acc_seg": 73.97071, "loss": 0.31602, "time": 0.66695} +{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.2061, "decode.acc_seg": 72.63885, "aux.loss_seg": 0.10513, "aux.acc_seg": 71.17202, "loss": 0.31123, "time": 0.66407} +{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.20487, "decode.acc_seg": 74.30923, "aux.loss_seg": 0.10274, "aux.acc_seg": 72.99974, "loss": 0.30761, "time": 0.66946} +{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 22752, "data_time": 0.01072, "decode.loss_seg": 0.21361, "decode.acc_seg": 74.36391, "aux.loss_seg": 0.10775, "aux.acc_seg": 73.01045, "loss": 0.32136, "time": 0.67813} +{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.20605, "decode.acc_seg": 73.81383, "aux.loss_seg": 0.10493, "aux.acc_seg": 72.34761, "loss": 0.31098, "time": 0.64544} +{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.20681, "decode.acc_seg": 73.59529, "aux.loss_seg": 0.1054, "aux.acc_seg": 72.17819, "loss": 0.31221, "time": 0.67239} +{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 22752, "data_time": 0.01107, "decode.loss_seg": 0.21528, "decode.acc_seg": 73.47795, "aux.loss_seg": 0.10849, "aux.acc_seg": 72.02442, "loss": 0.32377, "time": 0.66749} +{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.19917, "decode.acc_seg": 73.36119, "aux.loss_seg": 0.10028, "aux.acc_seg": 71.98312, "loss": 0.29944, "time": 0.67198} +{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.19726, "decode.acc_seg": 74.21878, "aux.loss_seg": 0.10008, "aux.acc_seg": 72.90362, "loss": 0.29735, "time": 0.6412} +{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.20456, "decode.acc_seg": 73.85953, "aux.loss_seg": 0.10285, "aux.acc_seg": 72.53471, "loss": 0.30741, "time": 0.67316} +{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.10416, "aux.loss_seg": 0.10774, "aux.acc_seg": 71.72139, "loss": 0.32368, "time": 0.67065} +{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.2086, "decode.acc_seg": 74.63592, "aux.loss_seg": 0.1043, "aux.acc_seg": 73.36362, "loss": 0.3129, "time": 0.64262} +{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.21224, "decode.acc_seg": 73.97418, "aux.loss_seg": 0.10502, "aux.acc_seg": 72.64314, "loss": 0.31727, "time": 0.65638} +{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.21524, "decode.acc_seg": 73.39552, "aux.loss_seg": 0.10724, "aux.acc_seg": 72.20055, "loss": 0.32248, "time": 0.65111} +{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.22074, "decode.acc_seg": 74.07352, "aux.loss_seg": 0.11081, "aux.acc_seg": 72.71229, "loss": 0.33155, "time": 0.64633} +{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.21918, "decode.acc_seg": 74.60819, "aux.loss_seg": 0.10848, "aux.acc_seg": 73.25773, "loss": 0.32766, "time": 0.62872} +{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 22752, "data_time": 0.23204, "decode.loss_seg": 0.20213, "decode.acc_seg": 73.27092, "aux.loss_seg": 0.10193, "aux.acc_seg": 71.87197, "loss": 0.30406, "time": 0.85319} +{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.18912, "decode.acc_seg": 73.22311, "aux.loss_seg": 0.09477, "aux.acc_seg": 72.03471, "loss": 0.28389, "time": 0.66932} +{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.21251, "decode.acc_seg": 73.92671, "aux.loss_seg": 0.10501, "aux.acc_seg": 72.56647, "loss": 0.31752, "time": 0.6545} +{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.22332, "decode.acc_seg": 74.48028, "aux.loss_seg": 0.11264, "aux.acc_seg": 72.98992, "loss": 0.33596, "time": 0.66929} +{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.20447, "decode.acc_seg": 74.25724, "aux.loss_seg": 0.10277, "aux.acc_seg": 72.9027, "loss": 0.30724, "time": 0.66684} +{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.20819, "decode.acc_seg": 72.38522, "aux.loss_seg": 0.10386, "aux.acc_seg": 71.18903, "loss": 0.31206, "time": 0.67406} +{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.21105, "decode.acc_seg": 74.23538, "aux.loss_seg": 0.10758, "aux.acc_seg": 72.80327, "loss": 0.31863, "time": 0.6649} +{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.2097, "decode.acc_seg": 75.345, "aux.loss_seg": 0.10444, "aux.acc_seg": 74.07727, "loss": 0.31414, "time": 0.64189} +{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4744, "mAcc": 0.5975, "aAcc": 0.8223, "IoU.wall": 0.7604, "IoU.building": 0.819, "IoU.sky": 0.9379, "IoU.floor": 0.8121, "IoU.tree": 0.7295, "IoU.ceiling": 0.8437, "IoU.road": 0.8249, "IoU.bed ": 0.8597, "IoU.windowpane": 0.6045, "IoU.grass": 0.6729, "IoU.cabinet": 0.5787, "IoU.sidewalk": 0.6316, "IoU.person": 0.774, "IoU.earth": 0.3725, "IoU.door": 0.453, "IoU.table": 0.5725, "IoU.mountain": 0.5997, "IoU.plant": 0.4886, "IoU.curtain": 0.6964, "IoU.chair": 0.5154, "IoU.car": 0.822, "IoU.water": 0.5476, "IoU.painting": 0.7143, "IoU.sofa": 0.6025, "IoU.shelf": 0.4161, "IoU.house": 0.4706, "IoU.sea": 0.5367, "IoU.mirror": 0.6381, "IoU.rug": 0.684, "IoU.field": 0.3295, "IoU.armchair": 0.3682, "IoU.seat": 0.5884, "IoU.fence": 0.4696, "IoU.desk": 0.4697, "IoU.rock": 0.4685, "IoU.wardrobe": 0.4829, "IoU.lamp": 0.5813, "IoU.bathtub": 0.747, "IoU.railing": 0.3139, "IoU.cushion": 0.5061, "IoU.base": 0.2451, "IoU.box": 0.2293, "IoU.column": 0.4474, "IoU.signboard": 0.3412, "IoU.chest of drawers": 0.3401, "IoU.counter": 0.2248, "IoU.sand": 0.4096, "IoU.sink": 0.6853, "IoU.skyscraper": 0.5896, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7398, "IoU.grandstand": 0.4142, "IoU.path": 0.2378, "IoU.stairs": 0.2772, "IoU.runway": 0.7208, "IoU.case": 0.497, "IoU.pool table": 0.9116, "IoU.pillow": 0.5654, "IoU.screen door": 0.6875, "IoU.stairway": 0.3022, "IoU.river": 0.1902, "IoU.bridge": 0.6946, "IoU.bookcase": 0.442, "IoU.blind": NaN, "IoU.coffee table": 0.5497, "IoU.toilet": 0.8253, "IoU.flower": 0.39, "IoU.book": 0.4515, "IoU.hill": 0.1548, "IoU.bench": 0.4306, "IoU.countertop": 0.5182, "IoU.stove": 0.7209, "IoU.palm": 0.4983, "IoU.kitchen island": 0.4081, "IoU.computer": 0.5934, "IoU.swivel chair": 0.4211, "IoU.boat": 0.3704, "IoU.bar": 0.5017, "IoU.arcade machine": 0.6583, "IoU.hovel": 0.0682, "IoU.bus": 0.8546, "IoU.towel": 0.6613, "IoU.light": 0.5369, "IoU.truck": 0.3619, "IoU.tower": 0.2057, "IoU.chandelier": 0.6327, "IoU.awning": 0.2762, "IoU.streetlight": 0.2045, "IoU.booth": 0.5865, "IoU.television receiver": NaN, "IoU.airplane": 0.5412, "IoU.dirt track": 0.2044, "IoU.apparel": 0.2664, "IoU.pole": 0.1797, "IoU.land": 0.0389, "IoU.bannister": 0.1149, "IoU.escalator": 0.2866, "IoU.ottoman": 0.375, "IoU.bottle": NaN, "IoU.buffet": 0.457, "IoU.poster": 0.3458, "IoU.stage": 0.1775, "IoU.van": 0.3573, "IoU.ship": 0.6017, "IoU.fountain": 0.293, "IoU.conveyer belt": 0.7085, "IoU.canopy": 0.1938, "IoU.washer": 0.782, "IoU.plaything": 0.2173, "IoU.swimming pool": 0.7751, "IoU.stool": 0.3689, "IoU.barrel": 0.5557, "IoU.basket": 0.3345, "IoU.waterfall": 0.6032, "IoU.tent": 0.937, "IoU.bag": 0.1004, "IoU.minibike": 0.7312, "IoU.cradle": NaN, "IoU.oven": 0.4278, "IoU.ball": 0.2964, "IoU.food": 0.4067, "IoU.step": 0.0924, "IoU.tank": 0.5069, "IoU.trade name": 0.2355, "IoU.microwave": 0.7776, "IoU.pot": 0.5065, "IoU.animal": NaN, "IoU.bicycle": 0.5107, "IoU.lake": 0.5268, "IoU.dishwasher": 0.5631, "IoU.screen": 0.5503, "IoU.blanket": 0.1235, "IoU.sculpture": 0.5408, "IoU.hood": 0.5441, "IoU.sconce": 0.4432, "IoU.vase": 0.3204, "IoU.traffic light": 0.2785, "IoU.tray": 0.0799, "IoU.ashcan": 0.3677, "IoU.fan": 0.5333, "IoU.pier": 0.336, "IoU.crt screen": 0.0406, "IoU.plate": 0.5308, "IoU.monitor": 0.117, "IoU.bulletin board": 0.4057, "IoU.shower": 0.0342, "IoU.radiator": 0.5113, "IoU.glass": 0.1152, "IoU.clock": 0.2537, "IoU.flag": 0.4182, "Acc.wall": 0.8794, "Acc.building": 0.9216, "Acc.sky": 0.9713, "Acc.floor": 0.8948, "Acc.tree": 0.8693, "Acc.ceiling": 0.9204, "Acc.road": 0.8833, "Acc.bed ": 0.9386, "Acc.windowpane": 0.756, "Acc.grass": 0.8118, "Acc.cabinet": 0.7525, "Acc.sidewalk": 0.8287, "Acc.person": 0.9028, "Acc.earth": 0.5163, "Acc.door": 0.5703, "Acc.table": 0.7555, "Acc.mountain": 0.7221, "Acc.plant": 0.5888, "Acc.curtain": 0.8166, "Acc.chair": 0.6277, "Acc.car": 0.9126, "Acc.water": 0.7072, "Acc.painting": 0.854, "Acc.sofa": 0.8029, "Acc.shelf": 0.6123, "Acc.house": 0.6054, "Acc.sea": 0.7726, "Acc.mirror": 0.6969, "Acc.rug": 0.7813, "Acc.field": 0.5636, "Acc.armchair": 0.5669, "Acc.seat": 0.7923, "Acc.fence": 0.6103, "Acc.desk": 0.678, "Acc.rock": 0.7421, "Acc.wardrobe": 0.6444, "Acc.lamp": 0.7159, "Acc.bathtub": 0.8147, "Acc.railing": 0.4379, "Acc.cushion": 0.618, "Acc.base": 0.3423, "Acc.box": 0.2903, "Acc.column": 0.5499, "Acc.signboard": 0.4441, "Acc.chest of drawers": 0.4895, "Acc.counter": 0.272, "Acc.sand": 0.5927, "Acc.sink": 0.7684, "Acc.skyscraper": 0.7525, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8671, "Acc.grandstand": 0.7164, "Acc.path": 0.3315, "Acc.stairs": 0.381, "Acc.runway": 0.9536, "Acc.case": 0.6234, "Acc.pool table": 0.9516, "Acc.pillow": 0.7116, "Acc.screen door": 0.7779, "Acc.stairway": 0.3802, "Acc.river": 0.2973, "Acc.bridge": 0.8443, "Acc.bookcase": 0.536, "Acc.blind": NaN, "Acc.coffee table": 0.8098, "Acc.toilet": 0.899, "Acc.flower": 0.6363, "Acc.book": 0.6319, "Acc.hill": 0.1968, "Acc.bench": 0.4761, "Acc.countertop": 0.6451, "Acc.stove": 0.8152, "Acc.palm": 0.7468, "Acc.kitchen island": 0.7805, "Acc.computer": 0.7055, "Acc.swivel chair": 0.661, "Acc.boat": 0.5303, "Acc.bar": 0.7233, "Acc.arcade machine": 0.7066, "Acc.hovel": 0.08, "Acc.bus": 0.9645, "Acc.towel": 0.8027, "Acc.light": 0.5963, "Acc.truck": 0.5068, "Acc.tower": 0.3269, "Acc.chandelier": 0.7912, "Acc.awning": 0.3162, "Acc.streetlight": 0.269, "Acc.booth": 0.704, "Acc.television receiver": NaN, "Acc.airplane": 0.6634, "Acc.dirt track": 0.3234, "Acc.apparel": 0.4197, "Acc.pole": 0.2437, "Acc.land": 0.0521, "Acc.bannister": 0.1506, "Acc.escalator": 0.3994, "Acc.ottoman": 0.5476, "Acc.bottle": NaN, "Acc.buffet": 0.5283, "Acc.poster": 0.4208, "Acc.stage": 0.3317, "Acc.van": 0.4836, "Acc.ship": 0.9583, "Acc.fountain": 0.2974, "Acc.conveyer belt": 0.9232, "Acc.canopy": 0.299, "Acc.washer": 0.8224, "Acc.plaything": 0.3005, "Acc.swimming pool": 0.8382, "Acc.stool": 0.5388, "Acc.barrel": 0.7511, "Acc.basket": 0.4198, "Acc.waterfall": 0.7852, "Acc.tent": 0.9779, "Acc.bag": 0.1311, "Acc.minibike": 0.9013, "Acc.cradle": NaN, "Acc.oven": 0.5653, "Acc.ball": 0.423, "Acc.food": 0.4633, "Acc.step": 0.0959, "Acc.tank": 0.5843, "Acc.trade name": 0.2584, "Acc.microwave": 0.9037, "Acc.pot": 0.5515, "Acc.animal": NaN, "Acc.bicycle": 0.7252, "Acc.lake": 0.6367, "Acc.dishwasher": 0.7093, "Acc.screen": 0.7214, "Acc.blanket": 0.142, "Acc.sculpture": 0.6303, "Acc.hood": 0.704, "Acc.sconce": 0.5442, "Acc.vase": 0.4624, "Acc.traffic light": 0.452, "Acc.tray": 0.1138, "Acc.ashcan": 0.4828, "Acc.fan": 0.6627, "Acc.pier": 0.578, "Acc.crt screen": 0.133, "Acc.plate": 0.6727, "Acc.monitor": 0.1583, "Acc.bulletin board": 0.4932, "Acc.shower": 0.0633, "Acc.radiator": 0.6417, "Acc.glass": 0.1223, "Acc.clock": 0.3049, "Acc.flag": 0.4803} +{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 22752, "data_time": 1.58893, "decode.loss_seg": 0.21926, "decode.acc_seg": 71.48085, "aux.loss_seg": 0.11173, "aux.acc_seg": 70.00281, "loss": 0.33099, "time": 2.22721} +{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.21055, "decode.acc_seg": 73.61476, "aux.loss_seg": 0.10637, "aux.acc_seg": 72.24036, "loss": 0.31692, "time": 0.66244} +{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.20848, "decode.acc_seg": 74.6494, "aux.loss_seg": 0.10275, "aux.acc_seg": 73.48913, "loss": 0.31123, "time": 0.6492} +{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.2066, "decode.acc_seg": 72.93845, "aux.loss_seg": 0.10394, "aux.acc_seg": 71.53009, "loss": 0.31055, "time": 0.65367} +{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.20427, "decode.acc_seg": 73.67816, "aux.loss_seg": 0.10244, "aux.acc_seg": 72.267, "loss": 0.30671, "time": 0.66825} +{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.20725, "decode.acc_seg": 74.24791, "aux.loss_seg": 0.10456, "aux.acc_seg": 72.91886, "loss": 0.31181, "time": 0.67235} +{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.20044, "decode.acc_seg": 73.99423, "aux.loss_seg": 0.10072, "aux.acc_seg": 72.72743, "loss": 0.30116, "time": 0.66054} +{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.21733, "decode.acc_seg": 73.01309, "aux.loss_seg": 0.10907, "aux.acc_seg": 71.71514, "loss": 0.3264, "time": 0.67147} +{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.21497, "decode.acc_seg": 73.81173, "aux.loss_seg": 0.10606, "aux.acc_seg": 72.48469, "loss": 0.32103, "time": 0.65887} +{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.20338, "decode.acc_seg": 71.97352, "aux.loss_seg": 0.10232, "aux.acc_seg": 70.59474, "loss": 0.3057, "time": 0.65672} +{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.22071, "decode.acc_seg": 72.67404, "aux.loss_seg": 0.11074, "aux.acc_seg": 71.26766, "loss": 0.33145, "time": 0.65442} +{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.21402, "decode.acc_seg": 74.1658, "aux.loss_seg": 0.10633, "aux.acc_seg": 72.86894, "loss": 0.32035, "time": 0.67088} +{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.22323, "decode.acc_seg": 73.76871, "aux.loss_seg": 0.11071, "aux.acc_seg": 72.53809, "loss": 0.33394, "time": 0.63977} +{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.22557, "decode.acc_seg": 72.68727, "aux.loss_seg": 0.11066, "aux.acc_seg": 71.27208, "loss": 0.33623, "time": 0.66783} +{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.22152, "decode.acc_seg": 75.39762, "aux.loss_seg": 0.11025, "aux.acc_seg": 74.05359, "loss": 0.33178, "time": 0.66929} +{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.20256, "decode.acc_seg": 74.05088, "aux.loss_seg": 0.10136, "aux.acc_seg": 72.80137, "loss": 0.30392, "time": 0.67134} +{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 22752, "data_time": 0.23496, "decode.loss_seg": 0.21316, "decode.acc_seg": 73.99703, "aux.loss_seg": 0.10696, "aux.acc_seg": 72.60584, "loss": 0.32011, "time": 0.90115} +{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.19968, "decode.acc_seg": 73.00765, "aux.loss_seg": 0.10176, "aux.acc_seg": 71.6472, "loss": 0.30145, "time": 0.6511} +{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.20315, "decode.acc_seg": 74.40687, "aux.loss_seg": 0.10363, "aux.acc_seg": 72.96773, "loss": 0.30679, "time": 0.67411} +{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.19863, "decode.acc_seg": 75.08699, "aux.loss_seg": 0.10034, "aux.acc_seg": 73.76541, "loss": 0.29897, "time": 0.65683} +{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.21856, "decode.acc_seg": 74.03325, "aux.loss_seg": 0.1104, "aux.acc_seg": 72.65291, "loss": 0.32897, "time": 0.63555} +{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.19484, "decode.acc_seg": 72.03836, "aux.loss_seg": 0.09934, "aux.acc_seg": 70.62079, "loss": 0.29418, "time": 0.67044} +{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.21155, "decode.acc_seg": 74.01416, "aux.loss_seg": 0.10629, "aux.acc_seg": 72.66781, "loss": 0.31784, "time": 0.66684} +{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.20302, "decode.acc_seg": 74.41056, "aux.loss_seg": 0.10287, "aux.acc_seg": 72.93789, "loss": 0.30589, "time": 0.66302} +{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.20471, "decode.acc_seg": 73.62181, "aux.loss_seg": 0.10323, "aux.acc_seg": 72.12849, "loss": 0.30795, "time": 0.62773} +{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.20465, "decode.acc_seg": 73.557, "aux.loss_seg": 0.10199, "aux.acc_seg": 72.19262, "loss": 0.30664, "time": 0.63348} +{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.19479, "decode.acc_seg": 74.38738, "aux.loss_seg": 0.09797, "aux.acc_seg": 73.13303, "loss": 0.29276, "time": 0.6576} +{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.19378, "decode.acc_seg": 74.02679, "aux.loss_seg": 0.09788, "aux.acc_seg": 72.84505, "loss": 0.29166, "time": 0.64334} +{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.20567, "decode.acc_seg": 72.71815, "aux.loss_seg": 0.10365, "aux.acc_seg": 71.44362, "loss": 0.30933, "time": 0.63546} +{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.21195, "decode.acc_seg": 74.05635, "aux.loss_seg": 0.1051, "aux.acc_seg": 72.69828, "loss": 0.31704, "time": 0.63907} +{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.21871, "decode.acc_seg": 75.00723, "aux.loss_seg": 0.10975, "aux.acc_seg": 73.55396, "loss": 0.32846, "time": 0.67777} +{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.2019, "decode.acc_seg": 74.21198, "aux.loss_seg": 0.10095, "aux.acc_seg": 72.82457, "loss": 0.30285, "time": 0.65794} +{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.20461, "decode.acc_seg": 72.64127, "aux.loss_seg": 0.10252, "aux.acc_seg": 71.36048, "loss": 0.30714, "time": 0.65725} +{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.20532, "decode.acc_seg": 74.35213, "aux.loss_seg": 0.10521, "aux.acc_seg": 72.79701, "loss": 0.31053, "time": 0.66782} +{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.21583, "decode.acc_seg": 74.79725, "aux.loss_seg": 0.10666, "aux.acc_seg": 73.42011, "loss": 0.32248, "time": 0.67556} +{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.20092, "decode.acc_seg": 73.90256, "aux.loss_seg": 0.10097, "aux.acc_seg": 72.57463, "loss": 0.30189, "time": 0.66801} +{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.20272, "decode.acc_seg": 74.22913, "aux.loss_seg": 0.101, "aux.acc_seg": 73.02863, "loss": 0.30373, "time": 0.67037} +{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.21341, "decode.acc_seg": 74.66654, "aux.loss_seg": 0.10755, "aux.acc_seg": 73.40638, "loss": 0.32096, "time": 0.67973} +{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.21265, "decode.acc_seg": 74.35215, "aux.loss_seg": 0.10605, "aux.acc_seg": 73.0872, "loss": 0.3187, "time": 0.6533} +{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.20797, "decode.acc_seg": 74.52995, "aux.loss_seg": 0.10417, "aux.acc_seg": 73.23174, "loss": 0.31214, "time": 0.65059} +{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.20283, "decode.acc_seg": 72.98219, "aux.loss_seg": 0.10244, "aux.acc_seg": 71.61929, "loss": 0.30527, "time": 0.66868} +{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 22752, "data_time": 0.23268, "decode.loss_seg": 0.23005, "decode.acc_seg": 73.38677, "aux.loss_seg": 0.11145, "aux.acc_seg": 72.1287, "loss": 0.3415, "time": 0.87658} +{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.23098, "decode.acc_seg": 73.03722, "aux.loss_seg": 0.11265, "aux.acc_seg": 71.77473, "loss": 0.34363, "time": 0.65184} +{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 22752, "data_time": 0.00828, "decode.loss_seg": 0.20099, "decode.acc_seg": 73.67441, "aux.loss_seg": 0.10076, "aux.acc_seg": 72.34048, "loss": 0.30175, "time": 0.64445} +{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.20614, "decode.acc_seg": 72.74515, "aux.loss_seg": 0.10294, "aux.acc_seg": 71.52607, "loss": 0.30908, "time": 0.65507} +{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.20686, "decode.acc_seg": 74.87223, "aux.loss_seg": 0.10384, "aux.acc_seg": 73.46822, "loss": 0.3107, "time": 0.6483} +{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.20568, "decode.acc_seg": 74.01859, "aux.loss_seg": 0.10544, "aux.acc_seg": 72.5284, "loss": 0.31112, "time": 0.66175} +{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.19624, "decode.acc_seg": 74.88749, "aux.loss_seg": 0.09934, "aux.acc_seg": 73.53188, "loss": 0.29558, "time": 0.67967} +{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.20215, "decode.acc_seg": 75.95106, "aux.loss_seg": 0.10453, "aux.acc_seg": 74.45289, "loss": 0.30669, "time": 0.67259} +{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.20191, "decode.acc_seg": 73.657, "aux.loss_seg": 0.09984, "aux.acc_seg": 72.34847, "loss": 0.30175, "time": 0.67894} +{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.22839, "decode.acc_seg": 72.56074, "aux.loss_seg": 0.1115, "aux.acc_seg": 71.2784, "loss": 0.3399, "time": 0.64624} +{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.20287, "decode.acc_seg": 74.30434, "aux.loss_seg": 0.10027, "aux.acc_seg": 73.09872, "loss": 0.30315, "time": 0.66072} +{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.21817, "decode.acc_seg": 72.85476, "aux.loss_seg": 0.11026, "aux.acc_seg": 71.49942, "loss": 0.32843, "time": 0.66152} +{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.20177, "decode.acc_seg": 73.88049, "aux.loss_seg": 0.10165, "aux.acc_seg": 72.51955, "loss": 0.30342, "time": 0.65723} +{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.20661, "decode.acc_seg": 74.35736, "aux.loss_seg": 0.10327, "aux.acc_seg": 73.09755, "loss": 0.30989, "time": 0.66681} +{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.20954, "decode.acc_seg": 73.56321, "aux.loss_seg": 0.10447, "aux.acc_seg": 72.32056, "loss": 0.31401, "time": 0.67581} +{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.21224, "decode.acc_seg": 74.64839, "aux.loss_seg": 0.10595, "aux.acc_seg": 73.29421, "loss": 0.31818, "time": 0.63543} +{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.19825, "decode.acc_seg": 73.88395, "aux.loss_seg": 0.10054, "aux.acc_seg": 72.57567, "loss": 0.29879, "time": 0.67509} +{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.19865, "decode.acc_seg": 74.63321, "aux.loss_seg": 0.1, "aux.acc_seg": 73.29029, "loss": 0.29864, "time": 0.67036} +{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.19782, "decode.acc_seg": 75.1016, "aux.loss_seg": 0.10038, "aux.acc_seg": 73.76973, "loss": 0.29821, "time": 0.66856} +{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.20801, "decode.acc_seg": 74.13266, "aux.loss_seg": 0.10291, "aux.acc_seg": 72.86495, "loss": 0.31092, "time": 0.66102} +{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.2113, "decode.acc_seg": 75.38951, "aux.loss_seg": 0.1067, "aux.acc_seg": 73.97755, "loss": 0.318, "time": 0.67894} +{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.20268, "decode.acc_seg": 75.40783, "aux.loss_seg": 0.10314, "aux.acc_seg": 74.01476, "loss": 0.30582, "time": 0.66617} +{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.23076, "decode.acc_seg": 74.10941, "aux.loss_seg": 0.11261, "aux.acc_seg": 72.77926, "loss": 0.34337, "time": 0.67347} +{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.20608, "decode.acc_seg": 74.56053, "aux.loss_seg": 0.104, "aux.acc_seg": 73.14271, "loss": 0.31008, "time": 0.6577} +{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.19908, "decode.acc_seg": 74.6555, "aux.loss_seg": 0.10047, "aux.acc_seg": 73.34335, "loss": 0.29955, "time": 0.64694} +{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.20993, "decode.acc_seg": 73.86213, "aux.loss_seg": 0.10338, "aux.acc_seg": 72.68112, "loss": 0.31331, "time": 0.6479} +{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 22752, "data_time": 0.24097, "decode.loss_seg": 0.21841, "decode.acc_seg": 75.67288, "aux.loss_seg": 0.108, "aux.acc_seg": 74.05201, "loss": 0.3264, "time": 0.90137} +{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.20765, "decode.acc_seg": 73.65915, "aux.loss_seg": 0.10538, "aux.acc_seg": 72.27177, "loss": 0.31304, "time": 0.66326} +{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.20156, "decode.acc_seg": 75.14336, "aux.loss_seg": 0.09992, "aux.acc_seg": 73.97714, "loss": 0.30147, "time": 0.65256} +{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.19162, "decode.acc_seg": 74.8397, "aux.loss_seg": 0.09751, "aux.acc_seg": 73.44534, "loss": 0.28913, "time": 0.6677} +{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.20101, "decode.acc_seg": 74.7964, "aux.loss_seg": 0.10028, "aux.acc_seg": 73.50966, "loss": 0.30128, "time": 0.67269} +{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.19573, "decode.acc_seg": 73.69766, "aux.loss_seg": 0.09898, "aux.acc_seg": 72.46006, "loss": 0.29471, "time": 0.64186} +{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.19177, "decode.acc_seg": 75.69411, "aux.loss_seg": 0.09845, "aux.acc_seg": 74.25548, "loss": 0.29022, "time": 0.66638} +{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.21075, "decode.acc_seg": 74.31027, "aux.loss_seg": 0.10657, "aux.acc_seg": 72.87936, "loss": 0.31732, "time": 0.66883} +{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.20006, "decode.acc_seg": 72.01364, "aux.loss_seg": 0.10203, "aux.acc_seg": 70.70632, "loss": 0.30209, "time": 0.67248} +{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.21037, "decode.acc_seg": 74.32519, "aux.loss_seg": 0.104, "aux.acc_seg": 73.02943, "loss": 0.31437, "time": 0.66785} +{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.20302, "decode.acc_seg": 74.31337, "aux.loss_seg": 0.10267, "aux.acc_seg": 72.84224, "loss": 0.3057, "time": 0.66717} +{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.20613, "decode.acc_seg": 73.27218, "aux.loss_seg": 0.1045, "aux.acc_seg": 71.80603, "loss": 0.31064, "time": 0.65767} +{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.20159, "decode.acc_seg": 73.90803, "aux.loss_seg": 0.1003, "aux.acc_seg": 72.69853, "loss": 0.30188, "time": 0.64212} +{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.21157, "decode.acc_seg": 75.53559, "aux.loss_seg": 0.10553, "aux.acc_seg": 74.28668, "loss": 0.31709, "time": 0.66778} +{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.19718, "decode.acc_seg": 74.64735, "aux.loss_seg": 0.10097, "aux.acc_seg": 73.23786, "loss": 0.29815, "time": 0.65839} +{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.20524, "decode.acc_seg": 75.01254, "aux.loss_seg": 0.10296, "aux.acc_seg": 73.73919, "loss": 0.3082, "time": 0.65482} +{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.20344, "decode.acc_seg": 73.64597, "aux.loss_seg": 0.10225, "aux.acc_seg": 72.33493, "loss": 0.30569, "time": 0.65978} +{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.21322, "decode.acc_seg": 74.53789, "aux.loss_seg": 0.10725, "aux.acc_seg": 73.13479, "loss": 0.32048, "time": 0.64813} +{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.20672, "decode.acc_seg": 73.28247, "aux.loss_seg": 0.10495, "aux.acc_seg": 71.84604, "loss": 0.31167, "time": 0.65979} +{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.21585, "decode.acc_seg": 72.88616, "aux.loss_seg": 0.1093, "aux.acc_seg": 71.54867, "loss": 0.32515, "time": 0.65329} +{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.18846, "decode.acc_seg": 73.68625, "aux.loss_seg": 0.09419, "aux.acc_seg": 72.42512, "loss": 0.28265, "time": 0.65935} +{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.19728, "decode.acc_seg": 73.68417, "aux.loss_seg": 0.10164, "aux.acc_seg": 72.23148, "loss": 0.29893, "time": 0.65937} +{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.20591, "decode.acc_seg": 73.10036, "aux.loss_seg": 0.10214, "aux.acc_seg": 71.8473, "loss": 0.30805, "time": 0.66598} +{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.19511, "decode.acc_seg": 73.22878, "aux.loss_seg": 0.10032, "aux.acc_seg": 71.84411, "loss": 0.29542, "time": 0.6648} +{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.20661, "decode.acc_seg": 73.67503, "aux.loss_seg": 0.10565, "aux.acc_seg": 72.2835, "loss": 0.31226, "time": 0.6531} +{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 22752, "data_time": 0.22668, "decode.loss_seg": 0.20042, "decode.acc_seg": 74.66215, "aux.loss_seg": 0.1043, "aux.acc_seg": 73.0978, "loss": 0.30471, "time": 0.88558} +{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.21086, "decode.acc_seg": 74.04853, "aux.loss_seg": 0.10518, "aux.acc_seg": 72.70498, "loss": 0.31604, "time": 0.65394} +{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.19834, "decode.acc_seg": 75.02956, "aux.loss_seg": 0.10134, "aux.acc_seg": 73.6915, "loss": 0.29967, "time": 0.63366} +{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.19396, "decode.acc_seg": 73.79, "aux.loss_seg": 0.09965, "aux.acc_seg": 72.34094, "loss": 0.2936, "time": 0.65832} +{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.1952, "decode.acc_seg": 74.18503, "aux.loss_seg": 0.09898, "aux.acc_seg": 72.89143, "loss": 0.29418, "time": 0.66339} +{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 22752, "data_time": 0.01054, "decode.loss_seg": 0.2137, "decode.acc_seg": 75.40993, "aux.loss_seg": 0.10781, "aux.acc_seg": 74.05956, "loss": 0.3215, "time": 0.67354} +{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.19756, "decode.acc_seg": 74.7285, "aux.loss_seg": 0.1003, "aux.acc_seg": 73.3771, "loss": 0.29786, "time": 0.66875} +{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.19814, "decode.acc_seg": 73.82726, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.6041, "loss": 0.297, "time": 0.65321} +{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.19558, "decode.acc_seg": 74.25545, "aux.loss_seg": 0.10019, "aux.acc_seg": 72.75509, "loss": 0.29577, "time": 0.63519} +{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 22752, "data_time": 0.01079, "decode.loss_seg": 0.19515, "decode.acc_seg": 75.2793, "aux.loss_seg": 0.099, "aux.acc_seg": 73.9427, "loss": 0.29415, "time": 0.63635} +{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.19546, "decode.acc_seg": 74.31324, "aux.loss_seg": 0.1005, "aux.acc_seg": 72.89873, "loss": 0.29597, "time": 0.66273} +{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.19537, "decode.acc_seg": 74.87139, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.58096, "loss": 0.29399, "time": 0.66694} +{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.19512, "decode.acc_seg": 74.23242, "aux.loss_seg": 0.09888, "aux.acc_seg": 72.87768, "loss": 0.294, "time": 0.67116} +{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.1955, "decode.acc_seg": 73.99848, "aux.loss_seg": 0.09863, "aux.acc_seg": 72.80943, "loss": 0.29414, "time": 0.65336} +{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 22752, "data_time": 0.01088, "decode.loss_seg": 0.20397, "decode.acc_seg": 74.76253, "aux.loss_seg": 0.10266, "aux.acc_seg": 73.3989, "loss": 0.30663, "time": 0.67272} +{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.19673, "decode.acc_seg": 74.38451, "aux.loss_seg": 0.10076, "aux.acc_seg": 72.97203, "loss": 0.29749, "time": 0.67499} +{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.19984, "decode.acc_seg": 74.06444, "aux.loss_seg": 0.09959, "aux.acc_seg": 72.82867, "loss": 0.29943, "time": 0.65904} +{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 22752, "data_time": 0.01137, "decode.loss_seg": 0.19386, "decode.acc_seg": 74.67153, "aux.loss_seg": 0.09951, "aux.acc_seg": 73.1893, "loss": 0.29338, "time": 0.66849} +{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.19592, "decode.acc_seg": 74.78008, "aux.loss_seg": 0.09925, "aux.acc_seg": 73.4681, "loss": 0.29517, "time": 0.6777} +{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.21296, "decode.acc_seg": 73.47895, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.1501, "loss": 0.32049, "time": 0.63866} +{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 22752, "data_time": 0.01135, "decode.loss_seg": 0.19995, "decode.acc_seg": 75.08849, "aux.loss_seg": 0.10027, "aux.acc_seg": 73.83245, "loss": 0.30021, "time": 0.66455} +{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.20233, "decode.acc_seg": 74.69301, "aux.loss_seg": 0.10276, "aux.acc_seg": 73.25462, "loss": 0.30509, "time": 0.66446} +{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.19664, "decode.acc_seg": 74.41495, "aux.loss_seg": 0.09895, "aux.acc_seg": 73.22507, "loss": 0.29559, "time": 0.67725} +{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.21295, "decode.acc_seg": 73.75076, "aux.loss_seg": 0.10531, "aux.acc_seg": 72.50265, "loss": 0.31826, "time": 0.67281} +{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.19144, "decode.acc_seg": 73.75785, "aux.loss_seg": 0.09767, "aux.acc_seg": 72.37866, "loss": 0.28912, "time": 0.66409} +{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 22752, "data_time": 0.23338, "decode.loss_seg": 0.20123, "decode.acc_seg": 74.6377, "aux.loss_seg": 0.10248, "aux.acc_seg": 73.22285, "loss": 0.3037, "time": 0.88606} +{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.19513, "decode.acc_seg": 74.45419, "aux.loss_seg": 0.09944, "aux.acc_seg": 73.04275, "loss": 0.29458, "time": 0.65978} +{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.19329, "decode.acc_seg": 73.48037, "aux.loss_seg": 0.09903, "aux.acc_seg": 72.11971, "loss": 0.29232, "time": 0.64634} +{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 22752, "data_time": 0.01076, "decode.loss_seg": 0.19599, "decode.acc_seg": 74.30557, "aux.loss_seg": 0.10077, "aux.acc_seg": 72.81817, "loss": 0.29676, "time": 0.65124} +{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.18915, "decode.acc_seg": 73.40546, "aux.loss_seg": 0.09605, "aux.acc_seg": 72.06491, "loss": 0.2852, "time": 0.65597} +{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.19931, "decode.acc_seg": 74.38584, "aux.loss_seg": 0.10198, "aux.acc_seg": 73.0825, "loss": 0.3013, "time": 0.66249} +{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.20075, "decode.acc_seg": 73.37328, "aux.loss_seg": 0.10177, "aux.acc_seg": 72.01107, "loss": 0.30252, "time": 0.65551} +{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.19658, "decode.acc_seg": 73.74235, "aux.loss_seg": 0.0999, "aux.acc_seg": 72.32478, "loss": 0.29648, "time": 0.62409} +{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.9912, "aux.loss_seg": 0.10454, "aux.acc_seg": 72.63332, "loss": 0.31121, "time": 0.66738} +{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.18389, "decode.acc_seg": 74.1788, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.92396, "loss": 0.27749, "time": 0.67452} +{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.75435, "aux.loss_seg": 0.09769, "aux.acc_seg": 72.51062, "loss": 0.2922, "time": 0.67263} +{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.20122, "decode.acc_seg": 73.64978, "aux.loss_seg": 0.10067, "aux.acc_seg": 72.34967, "loss": 0.30189, "time": 0.67434} +{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.2054, "decode.acc_seg": 74.50519, "aux.loss_seg": 0.10332, "aux.acc_seg": 73.08814, "loss": 0.30872, "time": 0.67098} +{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.20575, "decode.acc_seg": 76.21615, "aux.loss_seg": 0.1037, "aux.acc_seg": 74.85015, "loss": 0.30946, "time": 0.662} +{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.20379, "decode.acc_seg": 73.23242, "aux.loss_seg": 0.10412, "aux.acc_seg": 71.88548, "loss": 0.30791, "time": 0.64036} +{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.19149, "decode.acc_seg": 73.28834, "aux.loss_seg": 0.09828, "aux.acc_seg": 71.79779, "loss": 0.28977, "time": 0.65805} +{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.19535, "decode.acc_seg": 74.3076, "aux.loss_seg": 0.09868, "aux.acc_seg": 73.03623, "loss": 0.29403, "time": 0.66141} +{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.19947, "decode.acc_seg": 73.99508, "aux.loss_seg": 0.09969, "aux.acc_seg": 72.74796, "loss": 0.29916, "time": 0.66406} +{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.20395, "decode.acc_seg": 73.59808, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.29372, "loss": 0.3064, "time": 0.6758} +{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.19708, "decode.acc_seg": 73.75925, "aux.loss_seg": 0.0987, "aux.acc_seg": 72.40913, "loss": 0.29578, "time": 0.65481} +{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.20523, "decode.acc_seg": 73.24618, "aux.loss_seg": 0.10281, "aux.acc_seg": 71.92567, "loss": 0.30804, "time": 0.65543} +{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 22752, "data_time": 0.01044, "decode.loss_seg": 0.19086, "decode.acc_seg": 74.18807, "aux.loss_seg": 0.09502, "aux.acc_seg": 73.06295, "loss": 0.28588, "time": 0.67176} +{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.19094, "decode.acc_seg": 75.81537, "aux.loss_seg": 0.0991, "aux.acc_seg": 74.36856, "loss": 0.29004, "time": 0.63397} +{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.19722, "decode.acc_seg": 75.76528, "aux.loss_seg": 0.09963, "aux.acc_seg": 74.36839, "loss": 0.29685, "time": 0.67828} +{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.20839, "decode.acc_seg": 74.79246, "aux.loss_seg": 0.10307, "aux.acc_seg": 73.52468, "loss": 0.31146, "time": 0.66649} +{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 22752, "data_time": 0.23329, "decode.loss_seg": 0.19856, "decode.acc_seg": 75.30024, "aux.loss_seg": 0.10015, "aux.acc_seg": 73.89764, "loss": 0.29872, "time": 0.87162} +{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.19505, "decode.acc_seg": 74.80426, "aux.loss_seg": 0.09894, "aux.acc_seg": 73.45158, "loss": 0.294, "time": 0.6766} +{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.21381, "decode.acc_seg": 75.78354, "aux.loss_seg": 0.10681, "aux.acc_seg": 74.36229, "loss": 0.32062, "time": 0.66238} +{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.1972, "decode.acc_seg": 73.82099, "aux.loss_seg": 0.10109, "aux.acc_seg": 72.35038, "loss": 0.2983, "time": 0.66974} +{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 22752, "data_time": 0.01029, "decode.loss_seg": 0.19578, "decode.acc_seg": 74.21174, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.90109, "loss": 0.29464, "time": 0.65505} +{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.18663, "decode.acc_seg": 74.0244, "aux.loss_seg": 0.09566, "aux.acc_seg": 72.75128, "loss": 0.28228, "time": 0.66162} +{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.18915, "decode.acc_seg": 74.68661, "aux.loss_seg": 0.09511, "aux.acc_seg": 73.47122, "loss": 0.28426, "time": 0.67088} +{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.20501, "decode.acc_seg": 73.43241, "aux.loss_seg": 0.10119, "aux.acc_seg": 72.22564, "loss": 0.3062, "time": 0.66687} +{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 22752, "data_time": 0.01069, "decode.loss_seg": 0.19349, "decode.acc_seg": 75.03596, "aux.loss_seg": 0.09846, "aux.acc_seg": 73.64043, "loss": 0.29195, "time": 0.66756} +{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.19149, "decode.acc_seg": 75.26998, "aux.loss_seg": 0.09845, "aux.acc_seg": 73.86395, "loss": 0.28995, "time": 0.64624} +{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.19175, "decode.acc_seg": 76.16004, "aux.loss_seg": 0.09857, "aux.acc_seg": 74.66275, "loss": 0.29033, "time": 0.65476} +{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 22752, "data_time": 0.01054, "decode.loss_seg": 0.19361, "decode.acc_seg": 73.64032, "aux.loss_seg": 0.0978, "aux.acc_seg": 72.30995, "loss": 0.29142, "time": 0.66537} +{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.18548, "decode.acc_seg": 74.89349, "aux.loss_seg": 0.09356, "aux.acc_seg": 73.65597, "loss": 0.27903, "time": 0.65869} +{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.19529, "decode.acc_seg": 73.69266, "aux.loss_seg": 0.09924, "aux.acc_seg": 72.34633, "loss": 0.29453, "time": 0.65787} +{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 22752, "data_time": 0.01115, "decode.loss_seg": 0.19167, "decode.acc_seg": 73.98455, "aux.loss_seg": 0.09943, "aux.acc_seg": 72.43234, "loss": 0.29111, "time": 0.65859} +{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.19524, "decode.acc_seg": 73.64595, "aux.loss_seg": 0.09964, "aux.acc_seg": 72.22218, "loss": 0.29489, "time": 0.67068} +{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 22752, "data_time": 0.01093, "decode.loss_seg": 0.20333, "decode.acc_seg": 74.19202, "aux.loss_seg": 0.10281, "aux.acc_seg": 72.87382, "loss": 0.30614, "time": 0.66393} +{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 22752, "data_time": 0.01099, "decode.loss_seg": 0.20456, "decode.acc_seg": 74.59554, "aux.loss_seg": 0.10263, "aux.acc_seg": 73.41594, "loss": 0.30719, "time": 0.67578} +{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 22752, "data_time": 0.01124, "decode.loss_seg": 0.19912, "decode.acc_seg": 73.867, "aux.loss_seg": 0.10036, "aux.acc_seg": 72.60933, "loss": 0.29948, "time": 0.65544} +{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 22752, "data_time": 0.01104, "decode.loss_seg": 0.19328, "decode.acc_seg": 74.49125, "aux.loss_seg": 0.09795, "aux.acc_seg": 73.11967, "loss": 0.29123, "time": 0.66315} +{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.20717, "decode.acc_seg": 74.5051, "aux.loss_seg": 0.10239, "aux.acc_seg": 73.34595, "loss": 0.30956, "time": 0.64058} +{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 22752, "data_time": 0.01151, "decode.loss_seg": 0.1986, "decode.acc_seg": 73.44277, "aux.loss_seg": 0.10069, "aux.acc_seg": 71.95449, "loss": 0.29929, "time": 0.67102} +{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 22752, "data_time": 0.01032, "decode.loss_seg": 0.1896, "decode.acc_seg": 73.94121, "aux.loss_seg": 0.09571, "aux.acc_seg": 72.76909, "loss": 0.28531, "time": 0.644} +{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 22752, "data_time": 0.01086, "decode.loss_seg": 0.20105, "decode.acc_seg": 73.43246, "aux.loss_seg": 0.10099, "aux.acc_seg": 72.14289, "loss": 0.30204, "time": 0.67708} +{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 22752, "data_time": 0.01072, "decode.loss_seg": 0.19255, "decode.acc_seg": 74.94799, "aux.loss_seg": 0.09591, "aux.acc_seg": 73.6851, "loss": 0.28846, "time": 0.66911} +{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.19146, "decode.acc_seg": 73.41395, "aux.loss_seg": 0.09689, "aux.acc_seg": 72.19527, "loss": 0.28835, "time": 0.67822} +{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 22752, "data_time": 0.22716, "decode.loss_seg": 0.18614, "decode.acc_seg": 74.29698, "aux.loss_seg": 0.09497, "aux.acc_seg": 73.01561, "loss": 0.28112, "time": 0.86636} +{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.19018, "decode.acc_seg": 73.43236, "aux.loss_seg": 0.09752, "aux.acc_seg": 72.08661, "loss": 0.28771, "time": 0.65067} +{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 22752, "data_time": 0.00985, "decode.loss_seg": 0.20451, "decode.acc_seg": 75.16082, "aux.loss_seg": 0.10321, "aux.acc_seg": 73.79001, "loss": 0.30772, "time": 0.65442} +{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.20302, "decode.acc_seg": 75.33882, "aux.loss_seg": 0.10325, "aux.acc_seg": 73.93508, "loss": 0.30627, "time": 0.67403} +{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 22752, "data_time": 0.0107, "decode.loss_seg": 0.1975, "decode.acc_seg": 75.96777, "aux.loss_seg": 0.10053, "aux.acc_seg": 74.5495, "loss": 0.29803, "time": 0.67773} +{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.19872, "decode.acc_seg": 75.26494, "aux.loss_seg": 0.09941, "aux.acc_seg": 74.05238, "loss": 0.29812, "time": 0.636} +{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.18742, "decode.acc_seg": 75.51004, "aux.loss_seg": 0.09651, "aux.acc_seg": 74.11529, "loss": 0.28393, "time": 0.67247} +{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.1912, "decode.acc_seg": 74.60417, "aux.loss_seg": 0.0971, "aux.acc_seg": 73.21456, "loss": 0.2883, "time": 0.67028} +{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.18833, "decode.acc_seg": 74.37706, "aux.loss_seg": 0.0951, "aux.acc_seg": 73.02208, "loss": 0.28344, "time": 0.67157} +{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 22752, "data_time": 0.0109, "decode.loss_seg": 0.18652, "decode.acc_seg": 75.64827, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.32046, "loss": 0.28131, "time": 0.67124} +{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.18251, "decode.acc_seg": 75.00633, "aux.loss_seg": 0.09412, "aux.acc_seg": 73.67895, "loss": 0.27663, "time": 0.66325} +{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.18742, "decode.acc_seg": 74.08987, "aux.loss_seg": 0.09641, "aux.acc_seg": 72.72656, "loss": 0.28384, "time": 0.66207} +{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 22752, "data_time": 0.01035, "decode.loss_seg": 0.18313, "decode.acc_seg": 76.14234, "aux.loss_seg": 0.0942, "aux.acc_seg": 74.78481, "loss": 0.27732, "time": 0.66105} +{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.20476, "decode.acc_seg": 74.07753, "aux.loss_seg": 0.1041, "aux.acc_seg": 72.68692, "loss": 0.30886, "time": 0.65202} +{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.19543, "decode.acc_seg": 75.74809, "aux.loss_seg": 0.09995, "aux.acc_seg": 74.32492, "loss": 0.29538, "time": 0.65012} +{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.20969, "decode.acc_seg": 73.56585, "aux.loss_seg": 0.10645, "aux.acc_seg": 72.14773, "loss": 0.31614, "time": 0.64816} +{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.19591, "decode.acc_seg": 72.95535, "aux.loss_seg": 0.09838, "aux.acc_seg": 71.68191, "loss": 0.29429, "time": 0.67675} +{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.19531, "decode.acc_seg": 74.5539, "aux.loss_seg": 0.10035, "aux.acc_seg": 73.04891, "loss": 0.29566, "time": 0.66153} +{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.18972, "decode.acc_seg": 75.76199, "aux.loss_seg": 0.09801, "aux.acc_seg": 74.36853, "loss": 0.28773, "time": 0.66059} +{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.19109, "decode.acc_seg": 73.9056, "aux.loss_seg": 0.09712, "aux.acc_seg": 72.60011, "loss": 0.28821, "time": 0.66247} +{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.20486, "decode.acc_seg": 74.51609, "aux.loss_seg": 0.1041, "aux.acc_seg": 73.15877, "loss": 0.30896, "time": 0.65597} +{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.19116, "decode.acc_seg": 74.32131, "aux.loss_seg": 0.09759, "aux.acc_seg": 73.00884, "loss": 0.28875, "time": 0.67625} +{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.18848, "decode.acc_seg": 73.85061, "aux.loss_seg": 0.0961, "aux.acc_seg": 72.6083, "loss": 0.28458, "time": 0.67602} +{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.19318, "decode.acc_seg": 74.73661, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.41892, "loss": 0.29085, "time": 0.65583} +{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.19017, "decode.acc_seg": 73.72512, "aux.loss_seg": 0.09547, "aux.acc_seg": 72.49982, "loss": 0.28564, "time": 0.67033} +{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 22752, "data_time": 0.22903, "decode.loss_seg": 0.19777, "decode.acc_seg": 74.27897, "aux.loss_seg": 0.10009, "aux.acc_seg": 72.97103, "loss": 0.29785, "time": 0.85635} +{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.19297, "decode.acc_seg": 73.76655, "aux.loss_seg": 0.09747, "aux.acc_seg": 72.5393, "loss": 0.29044, "time": 0.66403} +{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.19574, "decode.acc_seg": 75.53378, "aux.loss_seg": 0.09855, "aux.acc_seg": 74.20334, "loss": 0.29429, "time": 0.67547} +{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.18947, "decode.acc_seg": 73.712, "aux.loss_seg": 0.09702, "aux.acc_seg": 72.39409, "loss": 0.28649, "time": 0.66563} +{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.20327, "decode.acc_seg": 74.85938, "aux.loss_seg": 0.10458, "aux.acc_seg": 73.31734, "loss": 0.30786, "time": 0.66629} +{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.1854, "decode.acc_seg": 74.09026, "aux.loss_seg": 0.09549, "aux.acc_seg": 72.71387, "loss": 0.28089, "time": 0.65243} +{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.18748, "decode.acc_seg": 73.77367, "aux.loss_seg": 0.09365, "aux.acc_seg": 72.58812, "loss": 0.28112, "time": 0.66322} +{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.1912, "decode.acc_seg": 75.65571, "aux.loss_seg": 0.09719, "aux.acc_seg": 74.36073, "loss": 0.28838, "time": 0.65634} +{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.1872, "decode.acc_seg": 74.79896, "aux.loss_seg": 0.09666, "aux.acc_seg": 73.3738, "loss": 0.28385, "time": 0.66013} +{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.19657, "decode.acc_seg": 74.24621, "aux.loss_seg": 0.09892, "aux.acc_seg": 72.98876, "loss": 0.29549, "time": 0.66292} +{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.19332, "decode.acc_seg": 74.8, "aux.loss_seg": 0.09993, "aux.acc_seg": 73.38759, "loss": 0.29326, "time": 0.67434} +{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.18325, "decode.acc_seg": 74.74631, "aux.loss_seg": 0.09554, "aux.acc_seg": 73.33846, "loss": 0.2788, "time": 0.64817} +{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.19526, "decode.acc_seg": 74.3254, "aux.loss_seg": 0.09755, "aux.acc_seg": 73.02402, "loss": 0.29282, "time": 0.6487} +{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.19095, "decode.acc_seg": 75.03762, "aux.loss_seg": 0.09601, "aux.acc_seg": 73.73295, "loss": 0.28697, "time": 0.66574} +{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.2057, "decode.acc_seg": 72.70258, "aux.loss_seg": 0.10554, "aux.acc_seg": 71.26168, "loss": 0.31124, "time": 0.63738} +{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.19603, "decode.acc_seg": 72.58568, "aux.loss_seg": 0.10041, "aux.acc_seg": 71.13871, "loss": 0.29644, "time": 0.63821} +{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 22752, "data_time": 0.01046, "decode.loss_seg": 0.19401, "decode.acc_seg": 73.57583, "aux.loss_seg": 0.09723, "aux.acc_seg": 72.44872, "loss": 0.29125, "time": 0.66092} +{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.18617, "decode.acc_seg": 73.04327, "aux.loss_seg": 0.0959, "aux.acc_seg": 71.66828, "loss": 0.28207, "time": 0.67118} +{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.17708, "decode.acc_seg": 73.89403, "aux.loss_seg": 0.09185, "aux.acc_seg": 72.51998, "loss": 0.26893, "time": 0.64773} +{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.19888, "decode.acc_seg": 75.11137, "aux.loss_seg": 0.1007, "aux.acc_seg": 73.74551, "loss": 0.29958, "time": 0.67561} +{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 22752, "data_time": 0.01046, "decode.loss_seg": 0.19383, "decode.acc_seg": 73.73972, "aux.loss_seg": 0.10038, "aux.acc_seg": 72.26292, "loss": 0.29421, "time": 0.65427} +{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.19392, "decode.acc_seg": 76.67021, "aux.loss_seg": 0.09986, "aux.acc_seg": 75.24941, "loss": 0.29378, "time": 0.66165} +{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.18941, "decode.acc_seg": 72.20496, "aux.loss_seg": 0.09716, "aux.acc_seg": 70.78674, "loss": 0.28657, "time": 0.66604} +{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.19642, "decode.acc_seg": 75.61611, "aux.loss_seg": 0.09864, "aux.acc_seg": 74.35277, "loss": 0.29507, "time": 0.66758} +{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.18453, "decode.acc_seg": 72.98293, "aux.loss_seg": 0.09387, "aux.acc_seg": 71.79371, "loss": 0.2784, "time": 0.65346} +{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 22752, "data_time": 0.22969, "decode.loss_seg": 0.19751, "decode.acc_seg": 73.53944, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.22713, "loss": 0.29704, "time": 0.86714} +{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.19308, "decode.acc_seg": 75.69704, "aux.loss_seg": 0.09698, "aux.acc_seg": 74.38735, "loss": 0.29006, "time": 0.65713} +{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.19443, "decode.acc_seg": 73.82331, "aux.loss_seg": 0.09825, "aux.acc_seg": 72.56304, "loss": 0.29268, "time": 0.66566} +{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.18735, "decode.acc_seg": 74.33033, "aux.loss_seg": 0.09704, "aux.acc_seg": 72.8077, "loss": 0.28439, "time": 0.64792} +{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.20313, "decode.acc_seg": 74.39756, "aux.loss_seg": 0.10471, "aux.acc_seg": 72.87215, "loss": 0.30784, "time": 0.66193} +{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.19333, "decode.acc_seg": 74.27706, "aux.loss_seg": 0.09812, "aux.acc_seg": 72.96075, "loss": 0.29145, "time": 0.67796} +{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.19354, "decode.acc_seg": 75.14906, "aux.loss_seg": 0.09855, "aux.acc_seg": 73.81929, "loss": 0.29209, "time": 0.64898} +{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.19117, "decode.acc_seg": 73.98687, "aux.loss_seg": 0.09744, "aux.acc_seg": 72.59988, "loss": 0.28861, "time": 0.66988} +{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.1797, "decode.acc_seg": 74.86832, "aux.loss_seg": 0.09232, "aux.acc_seg": 73.61321, "loss": 0.27202, "time": 0.6681} +{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.20126, "decode.acc_seg": 73.23925, "aux.loss_seg": 0.10143, "aux.acc_seg": 71.90911, "loss": 0.30269, "time": 0.67273} +{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.19348, "decode.acc_seg": 74.65256, "aux.loss_seg": 0.09809, "aux.acc_seg": 73.35259, "loss": 0.29157, "time": 0.66334} +{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.19542, "decode.acc_seg": 73.28424, "aux.loss_seg": 0.09848, "aux.acc_seg": 71.87081, "loss": 0.2939, "time": 0.64837} +{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.18982, "decode.acc_seg": 74.62616, "aux.loss_seg": 0.09879, "aux.acc_seg": 73.19207, "loss": 0.28862, "time": 0.65376} +{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.19532, "decode.acc_seg": 74.28948, "aux.loss_seg": 0.1, "aux.acc_seg": 72.8987, "loss": 0.29532, "time": 0.67587} +{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.20091, "decode.acc_seg": 74.91542, "aux.loss_seg": 0.101, "aux.acc_seg": 73.62977, "loss": 0.3019, "time": 0.65838} +{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.19882, "decode.acc_seg": 74.59684, "aux.loss_seg": 0.10086, "aux.acc_seg": 73.23843, "loss": 0.29969, "time": 0.66924} +{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.19284, "decode.acc_seg": 73.50328, "aux.loss_seg": 0.09947, "aux.acc_seg": 72.26031, "loss": 0.29231, "time": 0.66187} +{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.17792, "decode.acc_seg": 73.99175, "aux.loss_seg": 0.09214, "aux.acc_seg": 72.60211, "loss": 0.27007, "time": 0.64656} +{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.1836, "decode.acc_seg": 72.95878, "aux.loss_seg": 0.09383, "aux.acc_seg": 71.59744, "loss": 0.27743, "time": 0.65818} +{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.18072, "decode.acc_seg": 73.67952, "aux.loss_seg": 0.09108, "aux.acc_seg": 72.44561, "loss": 0.2718, "time": 0.66213} +{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.1878, "decode.acc_seg": 73.62096, "aux.loss_seg": 0.09673, "aux.acc_seg": 72.19725, "loss": 0.28452, "time": 0.66069} +{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.19607, "decode.acc_seg": 74.97928, "aux.loss_seg": 0.09944, "aux.acc_seg": 73.73935, "loss": 0.2955, "time": 0.63952} +{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.18643, "decode.acc_seg": 74.70038, "aux.loss_seg": 0.09523, "aux.acc_seg": 73.26457, "loss": 0.28166, "time": 0.65298} +{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.20223, "decode.acc_seg": 74.61459, "aux.loss_seg": 0.10141, "aux.acc_seg": 73.32384, "loss": 0.30364, "time": 0.6739} +{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.18826, "decode.acc_seg": 73.29105, "aux.loss_seg": 0.09733, "aux.acc_seg": 71.931, "loss": 0.28559, "time": 0.66977} +{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 22752, "data_time": 0.22803, "decode.loss_seg": 0.19236, "decode.acc_seg": 75.08025, "aux.loss_seg": 0.09875, "aux.acc_seg": 73.70713, "loss": 0.29111, "time": 0.87772} +{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.18194, "decode.acc_seg": 75.44044, "aux.loss_seg": 0.09405, "aux.acc_seg": 74.16055, "loss": 0.27599, "time": 0.64808} +{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.19054, "decode.acc_seg": 74.45439, "aux.loss_seg": 0.09518, "aux.acc_seg": 73.26577, "loss": 0.28573, "time": 0.65597} +{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.18898, "decode.acc_seg": 74.14021, "aux.loss_seg": 0.09649, "aux.acc_seg": 72.86588, "loss": 0.28547, "time": 0.66231} +{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.18547, "decode.acc_seg": 74.98369, "aux.loss_seg": 0.09345, "aux.acc_seg": 73.66838, "loss": 0.27892, "time": 0.65804} +{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.18541, "decode.acc_seg": 74.69952, "aux.loss_seg": 0.09531, "aux.acc_seg": 73.38033, "loss": 0.28072, "time": 0.66998} +{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.18205, "decode.acc_seg": 74.507, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.17949, "loss": 0.27588, "time": 0.65462} +{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.17775, "decode.acc_seg": 74.80221, "aux.loss_seg": 0.09138, "aux.acc_seg": 73.49864, "loss": 0.26912, "time": 0.66323} +{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.18631, "decode.acc_seg": 75.61264, "aux.loss_seg": 0.09441, "aux.acc_seg": 74.37832, "loss": 0.28072, "time": 0.67258} +{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.19673, "decode.acc_seg": 73.86119, "aux.loss_seg": 0.09939, "aux.acc_seg": 72.46596, "loss": 0.29611, "time": 0.66347} +{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.19018, "decode.acc_seg": 74.45142, "aux.loss_seg": 0.09672, "aux.acc_seg": 73.21273, "loss": 0.2869, "time": 0.64917} +{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.18888, "decode.acc_seg": 75.46074, "aux.loss_seg": 0.09656, "aux.acc_seg": 74.08207, "loss": 0.28544, "time": 0.6711} +{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.19127, "decode.acc_seg": 73.49739, "aux.loss_seg": 0.098, "aux.acc_seg": 72.13715, "loss": 0.28927, "time": 0.68169} +{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.19081, "decode.acc_seg": 74.53757, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.07805, "loss": 0.28848, "time": 0.65977} +{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.18922, "decode.acc_seg": 75.6258, "aux.loss_seg": 0.09641, "aux.acc_seg": 74.32476, "loss": 0.28563, "time": 0.65589} +{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.18958, "decode.acc_seg": 74.36252, "aux.loss_seg": 0.09581, "aux.acc_seg": 73.14148, "loss": 0.2854, "time": 0.66455} +{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.20416, "decode.acc_seg": 75.04409, "aux.loss_seg": 0.10467, "aux.acc_seg": 73.67203, "loss": 0.30883, "time": 0.66858} +{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.19591, "decode.acc_seg": 75.15954, "aux.loss_seg": 0.09775, "aux.acc_seg": 73.88577, "loss": 0.29365, "time": 0.65747} +{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.19929, "decode.acc_seg": 73.59554, "aux.loss_seg": 0.1008, "aux.acc_seg": 72.31396, "loss": 0.30009, "time": 0.66301} +{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.18922, "decode.acc_seg": 73.62928, "aux.loss_seg": 0.09633, "aux.acc_seg": 72.31517, "loss": 0.28555, "time": 0.6578} +{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.18968, "decode.acc_seg": 74.67299, "aux.loss_seg": 0.09774, "aux.acc_seg": 73.29789, "loss": 0.28742, "time": 0.64955} +{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.19377, "decode.acc_seg": 73.7626, "aux.loss_seg": 0.09566, "aux.acc_seg": 72.47986, "loss": 0.28943, "time": 0.67851} +{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.18119, "decode.acc_seg": 73.88453, "aux.loss_seg": 0.09415, "aux.acc_seg": 72.46608, "loss": 0.27534, "time": 0.66611} +{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.19311, "decode.acc_seg": 73.43893, "aux.loss_seg": 0.09733, "aux.acc_seg": 72.22203, "loss": 0.29044, "time": 0.67576} +{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18824, "decode.acc_seg": 75.06446, "aux.loss_seg": 0.09606, "aux.acc_seg": 73.77612, "loss": 0.2843, "time": 0.66884} +{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.19344, "decode.acc_seg": 74.51377, "aux.loss_seg": 0.09786, "aux.acc_seg": 73.29862, "loss": 0.29131, "time": 0.65135} +{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 22752, "data_time": 0.23205, "decode.loss_seg": 0.17591, "decode.acc_seg": 75.36737, "aux.loss_seg": 0.09165, "aux.acc_seg": 74.02624, "loss": 0.26756, "time": 0.88644} +{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.19219, "decode.acc_seg": 73.66983, "aux.loss_seg": 0.09811, "aux.acc_seg": 72.36895, "loss": 0.2903, "time": 0.6626} +{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.18789, "decode.acc_seg": 74.90648, "aux.loss_seg": 0.09565, "aux.acc_seg": 73.59276, "loss": 0.28353, "time": 0.65965} +{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.19022, "decode.acc_seg": 74.70883, "aux.loss_seg": 0.09569, "aux.acc_seg": 73.51905, "loss": 0.28591, "time": 0.66893} +{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.18895, "decode.acc_seg": 74.26836, "aux.loss_seg": 0.09736, "aux.acc_seg": 72.86343, "loss": 0.2863, "time": 0.67529} +{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.18972, "decode.acc_seg": 74.58053, "aux.loss_seg": 0.09724, "aux.acc_seg": 73.15504, "loss": 0.28696, "time": 0.65627} +{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.18652, "decode.acc_seg": 75.53463, "aux.loss_seg": 0.09666, "aux.acc_seg": 74.13293, "loss": 0.28318, "time": 0.6681} +{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.192, "decode.acc_seg": 73.2369, "aux.loss_seg": 0.09801, "aux.acc_seg": 71.89385, "loss": 0.29001, "time": 0.6553} +{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.19907, "decode.acc_seg": 75.22546, "aux.loss_seg": 0.10156, "aux.acc_seg": 73.79508, "loss": 0.30062, "time": 0.6649} +{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.19748, "decode.acc_seg": 73.09366, "aux.loss_seg": 0.09949, "aux.acc_seg": 71.71227, "loss": 0.29697, "time": 0.65118} +{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.18798, "decode.acc_seg": 75.46387, "aux.loss_seg": 0.09582, "aux.acc_seg": 74.24421, "loss": 0.28381, "time": 0.64195} +{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.18735, "decode.acc_seg": 74.2733, "aux.loss_seg": 0.09584, "aux.acc_seg": 72.90543, "loss": 0.28319, "time": 0.66082} +{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.19587, "decode.acc_seg": 73.6109, "aux.loss_seg": 0.10023, "aux.acc_seg": 72.18668, "loss": 0.29609, "time": 0.67369} +{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.18843, "decode.acc_seg": 74.72397, "aux.loss_seg": 0.09726, "aux.acc_seg": 73.32882, "loss": 0.28569, "time": 0.6737} +{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.1805, "decode.acc_seg": 74.44481, "aux.loss_seg": 0.09164, "aux.acc_seg": 73.18623, "loss": 0.27214, "time": 0.67537} +{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.20216, "decode.acc_seg": 74.49306, "aux.loss_seg": 0.10114, "aux.acc_seg": 73.18319, "loss": 0.3033, "time": 0.64779} +{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.18546, "decode.acc_seg": 74.10215, "aux.loss_seg": 0.09336, "aux.acc_seg": 72.83789, "loss": 0.27882, "time": 0.65683} +{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.19761, "decode.acc_seg": 74.76442, "aux.loss_seg": 0.10058, "aux.acc_seg": 73.38163, "loss": 0.29819, "time": 0.66362} +{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.18934, "decode.acc_seg": 74.20707, "aux.loss_seg": 0.09531, "aux.acc_seg": 73.00968, "loss": 0.28465, "time": 0.66303} +{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.19078, "decode.acc_seg": 74.50137, "aux.loss_seg": 0.09662, "aux.acc_seg": 73.286, "loss": 0.28739, "time": 0.63648} +{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.18677, "decode.acc_seg": 74.16696, "aux.loss_seg": 0.09581, "aux.acc_seg": 72.76027, "loss": 0.28258, "time": 0.66475} +{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.1885, "decode.acc_seg": 75.40781, "aux.loss_seg": 0.09709, "aux.acc_seg": 73.99178, "loss": 0.28558, "time": 0.66774} +{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.1695, "decode.acc_seg": 73.25779, "aux.loss_seg": 0.08815, "aux.acc_seg": 71.96886, "loss": 0.25765, "time": 0.67548} +{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.18234, "decode.acc_seg": 73.56678, "aux.loss_seg": 0.09172, "aux.acc_seg": 72.43014, "loss": 0.27406, "time": 0.65596} +{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.17926, "decode.acc_seg": 73.80155, "aux.loss_seg": 0.09337, "aux.acc_seg": 72.35856, "loss": 0.27263, "time": 0.64644} +{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 22752, "data_time": 0.23072, "decode.loss_seg": 0.18819, "decode.acc_seg": 73.53608, "aux.loss_seg": 0.09607, "aux.acc_seg": 72.14795, "loss": 0.28426, "time": 0.87616} +{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.18333, "decode.acc_seg": 75.65786, "aux.loss_seg": 0.09411, "aux.acc_seg": 74.33785, "loss": 0.27744, "time": 0.67937} +{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.19011, "decode.acc_seg": 74.6701, "aux.loss_seg": 0.09697, "aux.acc_seg": 73.26524, "loss": 0.28708, "time": 0.66699} +{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.18746, "decode.acc_seg": 74.6199, "aux.loss_seg": 0.09645, "aux.acc_seg": 73.2233, "loss": 0.28391, "time": 0.67678} +{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.17675, "decode.acc_seg": 74.48563, "aux.loss_seg": 0.09139, "aux.acc_seg": 73.1523, "loss": 0.26814, "time": 0.64992} +{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 22752, "data_time": 0.01068, "decode.loss_seg": 0.1984, "decode.acc_seg": 73.36941, "aux.loss_seg": 0.10061, "aux.acc_seg": 72.0197, "loss": 0.29901, "time": 0.67576} +{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.20136, "decode.acc_seg": 73.53068, "aux.loss_seg": 0.10143, "aux.acc_seg": 72.14214, "loss": 0.30279, "time": 0.66495} +{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.18406, "decode.acc_seg": 74.64551, "aux.loss_seg": 0.09482, "aux.acc_seg": 73.2434, "loss": 0.27889, "time": 0.65966} +{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.19528, "decode.acc_seg": 74.23776, "aux.loss_seg": 0.09801, "aux.acc_seg": 72.94266, "loss": 0.29329, "time": 0.64312} +{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.19137, "decode.acc_seg": 73.87802, "aux.loss_seg": 0.0973, "aux.acc_seg": 72.48237, "loss": 0.28867, "time": 0.64205} +{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.19778, "decode.acc_seg": 74.48143, "aux.loss_seg": 0.10152, "aux.acc_seg": 73.10374, "loss": 0.29929, "time": 0.66666} +{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.19157, "decode.acc_seg": 75.2507, "aux.loss_seg": 0.09602, "aux.acc_seg": 73.85015, "loss": 0.28758, "time": 0.6657} +{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.1821, "decode.acc_seg": 75.25867, "aux.loss_seg": 0.09535, "aux.acc_seg": 73.82109, "loss": 0.27746, "time": 0.66803} +{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.18451, "decode.acc_seg": 74.82852, "aux.loss_seg": 0.09675, "aux.acc_seg": 73.31496, "loss": 0.28126, "time": 0.67034} +{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.19355, "decode.acc_seg": 74.88992, "aux.loss_seg": 0.09903, "aux.acc_seg": 73.54369, "loss": 0.29258, "time": 0.6685} +{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.18905, "decode.acc_seg": 74.55665, "aux.loss_seg": 0.09868, "aux.acc_seg": 73.13166, "loss": 0.28773, "time": 0.66898} +{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.18359, "decode.acc_seg": 74.31288, "aux.loss_seg": 0.09525, "aux.acc_seg": 72.88384, "loss": 0.27884, "time": 0.67182} +{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.18963, "decode.acc_seg": 74.81876, "aux.loss_seg": 0.09607, "aux.acc_seg": 73.52896, "loss": 0.28571, "time": 0.67583} +{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.17747, "decode.acc_seg": 74.97167, "aux.loss_seg": 0.09091, "aux.acc_seg": 73.70946, "loss": 0.26838, "time": 0.67041} +{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.19274, "decode.acc_seg": 75.37839, "aux.loss_seg": 0.09766, "aux.acc_seg": 74.04149, "loss": 0.2904, "time": 0.67525} +{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.18581, "decode.acc_seg": 74.63552, "aux.loss_seg": 0.09583, "aux.acc_seg": 73.22066, "loss": 0.28163, "time": 0.63826} +{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.19478, "decode.acc_seg": 74.53, "aux.loss_seg": 0.098, "aux.acc_seg": 73.31412, "loss": 0.29278, "time": 0.6714} +{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.1835, "decode.acc_seg": 74.25887, "aux.loss_seg": 0.09495, "aux.acc_seg": 72.95144, "loss": 0.27845, "time": 0.64295} +{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.18706, "decode.acc_seg": 73.79846, "aux.loss_seg": 0.09565, "aux.acc_seg": 72.48971, "loss": 0.2827, "time": 0.66223} +{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.18045, "decode.acc_seg": 75.53271, "aux.loss_seg": 0.09254, "aux.acc_seg": 74.24448, "loss": 0.27298, "time": 0.66266} +{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4731, "mAcc": 0.5951, "aAcc": 0.8236, "IoU.wall": 0.7651, "IoU.building": 0.821, "IoU.sky": 0.9375, "IoU.floor": 0.8116, "IoU.tree": 0.7322, "IoU.ceiling": 0.8442, "IoU.road": 0.8333, "IoU.bed ": 0.8557, "IoU.windowpane": 0.6004, "IoU.grass": 0.7114, "IoU.cabinet": 0.5688, "IoU.sidewalk": 0.6552, "IoU.person": 0.7713, "IoU.earth": 0.3802, "IoU.door": 0.4759, "IoU.table": 0.5907, "IoU.mountain": 0.5976, "IoU.plant": 0.4847, "IoU.curtain": 0.7022, "IoU.chair": 0.5311, "IoU.car": 0.8048, "IoU.water": 0.511, "IoU.painting": 0.7112, "IoU.sofa": 0.613, "IoU.shelf": 0.4466, "IoU.house": 0.4095, "IoU.sea": 0.5075, "IoU.mirror": 0.6512, "IoU.rug": 0.6731, "IoU.field": 0.3098, "IoU.armchair": 0.3815, "IoU.seat": 0.5868, "IoU.fence": 0.4643, "IoU.desk": 0.4714, "IoU.rock": 0.4746, "IoU.wardrobe": 0.4865, "IoU.lamp": 0.5895, "IoU.bathtub": 0.744, "IoU.railing": 0.3474, "IoU.cushion": 0.5307, "IoU.base": 0.2367, "IoU.box": 0.2477, "IoU.column": 0.4417, "IoU.signboard": 0.3481, "IoU.chest of drawers": 0.3037, "IoU.counter": 0.2223, "IoU.sand": 0.4096, "IoU.sink": 0.6904, "IoU.skyscraper": 0.6891, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6975, "IoU.grandstand": 0.4829, "IoU.path": 0.2373, "IoU.stairs": 0.3323, "IoU.runway": 0.7099, "IoU.case": 0.3929, "IoU.pool table": 0.8922, "IoU.pillow": 0.52, "IoU.screen door": 0.623, "IoU.stairway": 0.314, "IoU.river": 0.085, "IoU.bridge": 0.6848, "IoU.bookcase": 0.4031, "IoU.blind": NaN, "IoU.coffee table": 0.5797, "IoU.toilet": 0.8185, "IoU.flower": 0.4117, "IoU.book": 0.4929, "IoU.hill": 0.1266, "IoU.bench": 0.3785, "IoU.countertop": 0.4985, "IoU.stove": 0.6939, "IoU.palm": 0.4826, "IoU.kitchen island": 0.3836, "IoU.computer": 0.6067, "IoU.swivel chair": 0.4253, "IoU.boat": 0.3974, "IoU.bar": 0.4434, "IoU.arcade machine": 0.6298, "IoU.hovel": 0.2648, "IoU.bus": 0.8547, "IoU.towel": 0.6644, "IoU.light": 0.5441, "IoU.truck": 0.2783, "IoU.tower": 0.2297, "IoU.chandelier": 0.6282, "IoU.awning": 0.2733, "IoU.streetlight": 0.2056, "IoU.booth": 0.5584, "IoU.television receiver": NaN, "IoU.airplane": 0.5689, "IoU.dirt track": 0.1784, "IoU.apparel": 0.3149, "IoU.pole": 0.1732, "IoU.land": 0.0404, "IoU.bannister": 0.1108, "IoU.escalator": 0.3055, "IoU.ottoman": 0.3203, "IoU.bottle": NaN, "IoU.buffet": 0.4525, "IoU.poster": 0.4348, "IoU.stage": 0.1497, "IoU.van": 0.3698, "IoU.ship": 0.6499, "IoU.fountain": 0.3704, "IoU.conveyer belt": 0.7631, "IoU.canopy": 0.182, "IoU.washer": 0.784, "IoU.plaything": 0.237, "IoU.swimming pool": 0.719, "IoU.stool": 0.4057, "IoU.barrel": 0.6769, "IoU.basket": 0.3196, "IoU.waterfall": 0.5954, "IoU.tent": 0.8705, "IoU.bag": 0.0972, "IoU.minibike": 0.7323, "IoU.cradle": NaN, "IoU.oven": 0.3342, "IoU.ball": 0.3284, "IoU.food": 0.3448, "IoU.step": 0.0423, "IoU.tank": 0.5607, "IoU.trade name": 0.2657, "IoU.microwave": 0.727, "IoU.pot": 0.4958, "IoU.animal": NaN, "IoU.bicycle": 0.5183, "IoU.lake": 0.519, "IoU.dishwasher": 0.517, "IoU.screen": 0.5372, "IoU.blanket": 0.1289, "IoU.sculpture": 0.6271, "IoU.hood": 0.5381, "IoU.sconce": 0.4363, "IoU.vase": 0.3462, "IoU.traffic light": 0.2712, "IoU.tray": 0.0868, "IoU.ashcan": 0.3749, "IoU.fan": 0.5736, "IoU.pier": 0.1418, "IoU.crt screen": 0.0305, "IoU.plate": 0.5274, "IoU.monitor": 0.1005, "IoU.bulletin board": 0.3385, "IoU.shower": 0.0345, "IoU.radiator": 0.6316, "IoU.glass": 0.1224, "IoU.clock": 0.255, "IoU.flag": 0.3339, "Acc.wall": 0.8785, "Acc.building": 0.9232, "Acc.sky": 0.9708, "Acc.floor": 0.8916, "Acc.tree": 0.8768, "Acc.ceiling": 0.9225, "Acc.road": 0.8898, "Acc.bed ": 0.9418, "Acc.windowpane": 0.7554, "Acc.grass": 0.8932, "Acc.cabinet": 0.7216, "Acc.sidewalk": 0.8299, "Acc.person": 0.901, "Acc.earth": 0.491, "Acc.door": 0.6018, "Acc.table": 0.7547, "Acc.mountain": 0.7359, "Acc.plant": 0.5978, "Acc.curtain": 0.8265, "Acc.chair": 0.645, "Acc.car": 0.8977, "Acc.water": 0.6586, "Acc.painting": 0.8452, "Acc.sofa": 0.7825, "Acc.shelf": 0.625, "Acc.house": 0.5312, "Acc.sea": 0.7065, "Acc.mirror": 0.7206, "Acc.rug": 0.7962, "Acc.field": 0.4393, "Acc.armchair": 0.636, "Acc.seat": 0.8199, "Acc.fence": 0.5692, "Acc.desk": 0.6596, "Acc.rock": 0.8134, "Acc.wardrobe": 0.674, "Acc.lamp": 0.7331, "Acc.bathtub": 0.8224, "Acc.railing": 0.4915, "Acc.cushion": 0.6976, "Acc.base": 0.3359, "Acc.box": 0.3294, "Acc.column": 0.5594, "Acc.signboard": 0.4985, "Acc.chest of drawers": 0.5528, "Acc.counter": 0.2874, "Acc.sand": 0.5737, "Acc.sink": 0.7625, "Acc.skyscraper": 0.8932, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7881, "Acc.grandstand": 0.7215, "Acc.path": 0.3958, "Acc.stairs": 0.4316, "Acc.runway": 0.9465, "Acc.case": 0.4747, "Acc.pool table": 0.9608, "Acc.pillow": 0.5844, "Acc.screen door": 0.7206, "Acc.stairway": 0.3733, "Acc.river": 0.2099, "Acc.bridge": 0.8031, "Acc.bookcase": 0.504, "Acc.blind": NaN, "Acc.coffee table": 0.8158, "Acc.toilet": 0.9045, "Acc.flower": 0.6258, "Acc.book": 0.7302, "Acc.hill": 0.143, "Acc.bench": 0.453, "Acc.countertop": 0.6772, "Acc.stove": 0.8342, "Acc.palm": 0.7747, "Acc.kitchen island": 0.7142, "Acc.computer": 0.7054, "Acc.swivel chair": 0.6346, "Acc.boat": 0.5229, "Acc.bar": 0.6179, "Acc.arcade machine": 0.686, "Acc.hovel": 0.2802, "Acc.bus": 0.9565, "Acc.towel": 0.8067, "Acc.light": 0.621, "Acc.truck": 0.3889, "Acc.tower": 0.3773, "Acc.chandelier": 0.7969, "Acc.awning": 0.3357, "Acc.streetlight": 0.2627, "Acc.booth": 0.6691, "Acc.television receiver": NaN, "Acc.airplane": 0.6484, "Acc.dirt track": 0.2509, "Acc.apparel": 0.4642, "Acc.pole": 0.2433, "Acc.land": 0.0588, "Acc.bannister": 0.1593, "Acc.escalator": 0.3945, "Acc.ottoman": 0.412, "Acc.bottle": NaN, "Acc.buffet": 0.5296, "Acc.poster": 0.5089, "Acc.stage": 0.2153, "Acc.van": 0.5309, "Acc.ship": 0.9652, "Acc.fountain": 0.3784, "Acc.conveyer belt": 0.9106, "Acc.canopy": 0.2816, "Acc.washer": 0.8155, "Acc.plaything": 0.3501, "Acc.swimming pool": 0.8202, "Acc.stool": 0.5989, "Acc.barrel": 0.8372, "Acc.basket": 0.4285, "Acc.waterfall": 0.8242, "Acc.tent": 0.9797, "Acc.bag": 0.1159, "Acc.minibike": 0.899, "Acc.cradle": NaN, "Acc.oven": 0.4738, "Acc.ball": 0.4476, "Acc.food": 0.3952, "Acc.step": 0.0461, "Acc.tank": 0.6451, "Acc.trade name": 0.2888, "Acc.microwave": 0.8577, "Acc.pot": 0.5529, "Acc.animal": NaN, "Acc.bicycle": 0.7338, "Acc.lake": 0.67, "Acc.dishwasher": 0.6802, "Acc.screen": 0.7439, "Acc.blanket": 0.1517, "Acc.sculpture": 0.7521, "Acc.hood": 0.6496, "Acc.sconce": 0.5207, "Acc.vase": 0.4646, "Acc.traffic light": 0.3619, "Acc.tray": 0.2004, "Acc.ashcan": 0.4945, "Acc.fan": 0.7081, "Acc.pier": 0.2232, "Acc.crt screen": 0.1158, "Acc.plate": 0.6521, "Acc.monitor": 0.1294, "Acc.bulletin board": 0.4532, "Acc.shower": 0.1207, "Acc.radiator": 0.7373, "Acc.glass": 0.1299, "Acc.clock": 0.2959, "Acc.flag": 0.3666} +{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 22752, "data_time": 1.61356, "decode.loss_seg": 0.18557, "decode.acc_seg": 75.06385, "aux.loss_seg": 0.09502, "aux.acc_seg": 73.69406, "loss": 0.28058, "time": 2.26499} +{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.18391, "decode.acc_seg": 74.21547, "aux.loss_seg": 0.09502, "aux.acc_seg": 72.84411, "loss": 0.27892, "time": 0.67149} +{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18357, "decode.acc_seg": 74.81987, "aux.loss_seg": 0.09539, "aux.acc_seg": 73.40698, "loss": 0.27896, "time": 0.66569} +{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.18161, "decode.acc_seg": 74.14795, "aux.loss_seg": 0.09414, "aux.acc_seg": 72.80707, "loss": 0.27576, "time": 0.66771} +{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.18105, "decode.acc_seg": 74.83965, "aux.loss_seg": 0.09271, "aux.acc_seg": 73.49076, "loss": 0.27376, "time": 0.67036} +{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.19204, "decode.acc_seg": 76.00939, "aux.loss_seg": 0.09829, "aux.acc_seg": 74.65617, "loss": 0.29033, "time": 0.67587} +{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.18081, "decode.acc_seg": 73.99325, "aux.loss_seg": 0.09257, "aux.acc_seg": 72.68662, "loss": 0.27337, "time": 0.65292} +{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.1834, "decode.acc_seg": 73.6715, "aux.loss_seg": 0.09469, "aux.acc_seg": 72.32673, "loss": 0.27809, "time": 0.65663} +{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.18726, "decode.acc_seg": 74.57978, "aux.loss_seg": 0.09558, "aux.acc_seg": 73.21546, "loss": 0.28284, "time": 0.67217} +{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.18712, "decode.acc_seg": 73.99834, "aux.loss_seg": 0.09498, "aux.acc_seg": 72.6427, "loss": 0.2821, "time": 0.64876} +{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.19498, "decode.acc_seg": 74.05044, "aux.loss_seg": 0.09881, "aux.acc_seg": 72.62131, "loss": 0.29378, "time": 0.65505} +{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.19138, "decode.acc_seg": 73.79824, "aux.loss_seg": 0.10008, "aux.acc_seg": 72.32327, "loss": 0.29146, "time": 0.66921} +{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.20878, "decode.acc_seg": 75.30569, "aux.loss_seg": 0.10339, "aux.acc_seg": 73.91492, "loss": 0.31218, "time": 0.64324} +{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.18327, "decode.acc_seg": 74.59469, "aux.loss_seg": 0.09454, "aux.acc_seg": 73.11602, "loss": 0.27782, "time": 0.66778} +{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 22752, "data_time": 0.00832, "decode.loss_seg": 0.19252, "decode.acc_seg": 74.71561, "aux.loss_seg": 0.09825, "aux.acc_seg": 73.36091, "loss": 0.29077, "time": 0.65885} +{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.18602, "decode.acc_seg": 74.82538, "aux.loss_seg": 0.09486, "aux.acc_seg": 73.50066, "loss": 0.28088, "time": 0.65795} +{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.18164, "decode.acc_seg": 73.9898, "aux.loss_seg": 0.09122, "aux.acc_seg": 72.7968, "loss": 0.27287, "time": 0.66799} +{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.18033, "decode.acc_seg": 74.85333, "aux.loss_seg": 0.09277, "aux.acc_seg": 73.60427, "loss": 0.2731, "time": 0.65722} +{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.18582, "decode.acc_seg": 74.59785, "aux.loss_seg": 0.09504, "aux.acc_seg": 73.31539, "loss": 0.28086, "time": 0.66064} +{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17902, "decode.acc_seg": 75.01898, "aux.loss_seg": 0.09198, "aux.acc_seg": 73.64624, "loss": 0.271, "time": 0.67296} +{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.18876, "decode.acc_seg": 74.70475, "aux.loss_seg": 0.09654, "aux.acc_seg": 73.3056, "loss": 0.2853, "time": 0.66731} +{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.18344, "decode.acc_seg": 75.83317, "aux.loss_seg": 0.09547, "aux.acc_seg": 74.46653, "loss": 0.27891, "time": 0.649} +{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.17909, "decode.acc_seg": 73.12287, "aux.loss_seg": 0.09226, "aux.acc_seg": 71.88485, "loss": 0.27135, "time": 0.64571} +{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.18265, "decode.acc_seg": 74.81934, "aux.loss_seg": 0.09513, "aux.acc_seg": 73.39272, "loss": 0.27779, "time": 0.65292} +{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.19873, "decode.acc_seg": 74.60523, "aux.loss_seg": 0.09914, "aux.acc_seg": 73.36891, "loss": 0.29787, "time": 0.66985} +{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 22752, "data_time": 0.22985, "decode.loss_seg": 0.17608, "decode.acc_seg": 75.4758, "aux.loss_seg": 0.09019, "aux.acc_seg": 74.25754, "loss": 0.26627, "time": 0.87856} +{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.17633, "decode.acc_seg": 73.97581, "aux.loss_seg": 0.09186, "aux.acc_seg": 72.62577, "loss": 0.26819, "time": 0.65634} +{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.17768, "decode.acc_seg": 75.61181, "aux.loss_seg": 0.09289, "aux.acc_seg": 74.21309, "loss": 0.27058, "time": 0.64491} +{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.18781, "decode.acc_seg": 75.35697, "aux.loss_seg": 0.0959, "aux.acc_seg": 74.04304, "loss": 0.28372, "time": 0.67167} +{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17938, "decode.acc_seg": 75.05637, "aux.loss_seg": 0.09284, "aux.acc_seg": 73.69395, "loss": 0.27221, "time": 0.66572} +{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.17595, "decode.acc_seg": 73.26184, "aux.loss_seg": 0.09062, "aux.acc_seg": 71.94396, "loss": 0.26657, "time": 0.67908} +{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.17801, "decode.acc_seg": 74.41321, "aux.loss_seg": 0.09175, "aux.acc_seg": 73.12814, "loss": 0.26976, "time": 0.68606} +{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.17965, "decode.acc_seg": 73.44666, "aux.loss_seg": 0.09273, "aux.acc_seg": 72.04749, "loss": 0.27238, "time": 0.65485} +{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.17681, "decode.acc_seg": 73.13024, "aux.loss_seg": 0.09236, "aux.acc_seg": 71.73115, "loss": 0.26917, "time": 0.65838} +{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.17774, "decode.acc_seg": 73.4749, "aux.loss_seg": 0.08892, "aux.acc_seg": 72.38213, "loss": 0.26666, "time": 0.66565} +{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.18266, "decode.acc_seg": 73.97329, "aux.loss_seg": 0.09247, "aux.acc_seg": 72.67247, "loss": 0.27513, "time": 0.66342} +{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.19154, "decode.acc_seg": 74.36853, "aux.loss_seg": 0.09673, "aux.acc_seg": 73.15938, "loss": 0.28827, "time": 0.67044} +{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.18903, "decode.acc_seg": 74.08496, "aux.loss_seg": 0.09581, "aux.acc_seg": 72.79144, "loss": 0.28484, "time": 0.67359} +{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.18752, "decode.acc_seg": 73.66496, "aux.loss_seg": 0.09726, "aux.acc_seg": 72.23896, "loss": 0.28478, "time": 0.6648} +{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.18084, "decode.acc_seg": 73.4152, "aux.loss_seg": 0.09217, "aux.acc_seg": 72.15186, "loss": 0.273, "time": 0.65073} +{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.18883, "decode.acc_seg": 74.42811, "aux.loss_seg": 0.09693, "aux.acc_seg": 73.037, "loss": 0.28576, "time": 0.66} +{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.18916, "decode.acc_seg": 74.54553, "aux.loss_seg": 0.09818, "aux.acc_seg": 73.01579, "loss": 0.28734, "time": 0.66477} +{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.18066, "decode.acc_seg": 75.37054, "aux.loss_seg": 0.09342, "aux.acc_seg": 73.98226, "loss": 0.27408, "time": 0.65521} +{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.18826, "decode.acc_seg": 75.20924, "aux.loss_seg": 0.09728, "aux.acc_seg": 73.7174, "loss": 0.28554, "time": 0.65923} +{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.16569, "decode.acc_seg": 73.70426, "aux.loss_seg": 0.08566, "aux.acc_seg": 72.34852, "loss": 0.25136, "time": 0.66979} +{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.18217, "decode.acc_seg": 74.19758, "aux.loss_seg": 0.09181, "aux.acc_seg": 72.9083, "loss": 0.27398, "time": 0.66362} +{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.18546, "decode.acc_seg": 76.07292, "aux.loss_seg": 0.09502, "aux.acc_seg": 74.6323, "loss": 0.28048, "time": 0.65738} +{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.17612, "decode.acc_seg": 75.54465, "aux.loss_seg": 0.09126, "aux.acc_seg": 74.14752, "loss": 0.26737, "time": 0.67426} +{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.17924, "decode.acc_seg": 74.79723, "aux.loss_seg": 0.09363, "aux.acc_seg": 73.3086, "loss": 0.27287, "time": 0.65418} +{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.19021, "decode.acc_seg": 74.52073, "aux.loss_seg": 0.09736, "aux.acc_seg": 73.13896, "loss": 0.28757, "time": 0.66443} +{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 22752, "data_time": 0.22948, "decode.loss_seg": 0.18234, "decode.acc_seg": 74.20966, "aux.loss_seg": 0.09348, "aux.acc_seg": 72.86207, "loss": 0.27581, "time": 0.8857} +{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.1771, "decode.acc_seg": 74.62742, "aux.loss_seg": 0.09029, "aux.acc_seg": 73.37925, "loss": 0.26739, "time": 0.65772} +{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.17214, "decode.acc_seg": 75.52226, "aux.loss_seg": 0.09045, "aux.acc_seg": 74.10695, "loss": 0.2626, "time": 0.66355} +{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17922, "decode.acc_seg": 75.05206, "aux.loss_seg": 0.0917, "aux.acc_seg": 73.77919, "loss": 0.27091, "time": 0.67858} +{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.17501, "decode.acc_seg": 75.01359, "aux.loss_seg": 0.09047, "aux.acc_seg": 73.70022, "loss": 0.26548, "time": 0.65363} +{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.17907, "decode.acc_seg": 74.70052, "aux.loss_seg": 0.09191, "aux.acc_seg": 73.39646, "loss": 0.27098, "time": 0.66988} +{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.18702, "decode.acc_seg": 75.16312, "aux.loss_seg": 0.09401, "aux.acc_seg": 73.86565, "loss": 0.28103, "time": 0.64692} +{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.18717, "decode.acc_seg": 75.95635, "aux.loss_seg": 0.09468, "aux.acc_seg": 74.67729, "loss": 0.28184, "time": 0.65441} +{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.17839, "decode.acc_seg": 73.81143, "aux.loss_seg": 0.09039, "aux.acc_seg": 72.65691, "loss": 0.26878, "time": 0.6657} +{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.19209, "decode.acc_seg": 74.54318, "aux.loss_seg": 0.09766, "aux.acc_seg": 73.2349, "loss": 0.28975, "time": 0.66361} +{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.18849, "decode.acc_seg": 72.45549, "aux.loss_seg": 0.09694, "aux.acc_seg": 71.02768, "loss": 0.28543, "time": 0.66835} +{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.17896, "decode.acc_seg": 74.30035, "aux.loss_seg": 0.09355, "aux.acc_seg": 72.85323, "loss": 0.27251, "time": 0.64768} +{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.18294, "decode.acc_seg": 75.19184, "aux.loss_seg": 0.09468, "aux.acc_seg": 73.80838, "loss": 0.27762, "time": 0.6738} +{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.19448, "decode.acc_seg": 74.79759, "aux.loss_seg": 0.10034, "aux.acc_seg": 73.38622, "loss": 0.29481, "time": 0.65} +{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.17804, "decode.acc_seg": 75.28991, "aux.loss_seg": 0.09093, "aux.acc_seg": 74.01769, "loss": 0.26897, "time": 0.63432} +{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.17951, "decode.acc_seg": 75.51145, "aux.loss_seg": 0.09001, "aux.acc_seg": 74.29554, "loss": 0.26952, "time": 0.6562} +{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.18885, "decode.acc_seg": 76.20137, "aux.loss_seg": 0.09656, "aux.acc_seg": 74.84425, "loss": 0.28541, "time": 0.67258} +{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.18382, "decode.acc_seg": 74.0794, "aux.loss_seg": 0.09507, "aux.acc_seg": 72.77826, "loss": 0.2789, "time": 0.66512} +{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.18677, "decode.acc_seg": 74.40507, "aux.loss_seg": 0.09721, "aux.acc_seg": 73.0288, "loss": 0.28399, "time": 0.66017} +{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.19341, "decode.acc_seg": 75.85169, "aux.loss_seg": 0.09674, "aux.acc_seg": 74.63232, "loss": 0.29015, "time": 0.64753} +{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18743, "decode.acc_seg": 75.13722, "aux.loss_seg": 0.09617, "aux.acc_seg": 73.82962, "loss": 0.2836, "time": 0.65965} +{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.18705, "decode.acc_seg": 74.61265, "aux.loss_seg": 0.0958, "aux.acc_seg": 73.33097, "loss": 0.28285, "time": 0.66453} +{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.18708, "decode.acc_seg": 75.02167, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.77245, "loss": 0.28144, "time": 0.65432} +{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.17468, "decode.acc_seg": 74.0971, "aux.loss_seg": 0.09018, "aux.acc_seg": 72.77319, "loss": 0.26486, "time": 0.65603} +{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.17227, "decode.acc_seg": 74.79782, "aux.loss_seg": 0.08897, "aux.acc_seg": 73.51417, "loss": 0.26125, "time": 0.66193} +{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 22752, "data_time": 0.23144, "decode.loss_seg": 0.17712, "decode.acc_seg": 74.66125, "aux.loss_seg": 0.0905, "aux.acc_seg": 73.42861, "loss": 0.26762, "time": 0.88969} +{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.1793, "decode.acc_seg": 74.83171, "aux.loss_seg": 0.09201, "aux.acc_seg": 73.53928, "loss": 0.27131, "time": 0.66701} +{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.17843, "decode.acc_seg": 74.1026, "aux.loss_seg": 0.0924, "aux.acc_seg": 72.7404, "loss": 0.27083, "time": 0.6514} +{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.18046, "decode.acc_seg": 73.75593, "aux.loss_seg": 0.09462, "aux.acc_seg": 72.25846, "loss": 0.27508, "time": 0.67515} +{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 22752, "data_time": 0.00786, "decode.loss_seg": 0.1886, "decode.acc_seg": 74.10144, "aux.loss_seg": 0.09706, "aux.acc_seg": 72.68264, "loss": 0.28567, "time": 0.65617} +{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.18526, "decode.acc_seg": 74.77547, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.35818, "loss": 0.28068, "time": 0.67296} +{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.17763, "decode.acc_seg": 74.37461, "aux.loss_seg": 0.0901, "aux.acc_seg": 73.03569, "loss": 0.26773, "time": 0.65185} +{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.19634, "decode.acc_seg": 75.69811, "aux.loss_seg": 0.09928, "aux.acc_seg": 74.35083, "loss": 0.29562, "time": 0.65524} +{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.18123, "decode.acc_seg": 75.07732, "aux.loss_seg": 0.09244, "aux.acc_seg": 73.73188, "loss": 0.27367, "time": 0.66493} +{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.18539, "decode.acc_seg": 73.85404, "aux.loss_seg": 0.0946, "aux.acc_seg": 72.52485, "loss": 0.28, "time": 0.65939} +{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.18342, "decode.acc_seg": 75.93781, "aux.loss_seg": 0.09564, "aux.acc_seg": 74.57275, "loss": 0.27906, "time": 0.67053} +{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.19897, "decode.acc_seg": 73.52848, "aux.loss_seg": 0.1014, "aux.acc_seg": 72.14464, "loss": 0.30037, "time": 0.66547} +{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.17791, "decode.acc_seg": 75.29118, "aux.loss_seg": 0.09139, "aux.acc_seg": 74.05823, "loss": 0.26931, "time": 0.64518} +{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.19113, "decode.acc_seg": 74.90813, "aux.loss_seg": 0.09738, "aux.acc_seg": 73.54186, "loss": 0.28851, "time": 0.63808} +{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.18383, "decode.acc_seg": 75.72449, "aux.loss_seg": 0.09504, "aux.acc_seg": 74.30039, "loss": 0.27887, "time": 0.65086} +{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.18259, "decode.acc_seg": 74.23455, "aux.loss_seg": 0.094, "aux.acc_seg": 72.88358, "loss": 0.2766, "time": 0.66667} +{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.17344, "decode.acc_seg": 73.54514, "aux.loss_seg": 0.08912, "aux.acc_seg": 72.17596, "loss": 0.26256, "time": 0.67414} +{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.18348, "decode.acc_seg": 73.5632, "aux.loss_seg": 0.09533, "aux.acc_seg": 72.23821, "loss": 0.27881, "time": 0.65378} +{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.17609, "decode.acc_seg": 75.25322, "aux.loss_seg": 0.09127, "aux.acc_seg": 73.82622, "loss": 0.26736, "time": 0.66694} +{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.18763, "decode.acc_seg": 75.06993, "aux.loss_seg": 0.09695, "aux.acc_seg": 73.59292, "loss": 0.28458, "time": 0.65568} +{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17359, "decode.acc_seg": 74.13478, "aux.loss_seg": 0.08937, "aux.acc_seg": 72.82276, "loss": 0.26296, "time": 0.65525} +{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.17443, "decode.acc_seg": 74.97064, "aux.loss_seg": 0.09028, "aux.acc_seg": 73.63765, "loss": 0.26472, "time": 0.65515} +{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.17439, "decode.acc_seg": 75.25771, "aux.loss_seg": 0.08849, "aux.acc_seg": 74.02959, "loss": 0.26287, "time": 0.65004} +{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.19085, "decode.acc_seg": 73.93592, "aux.loss_seg": 0.09844, "aux.acc_seg": 72.49522, "loss": 0.28929, "time": 0.64986} +{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.19007, "decode.acc_seg": 74.81508, "aux.loss_seg": 0.09634, "aux.acc_seg": 73.45991, "loss": 0.28641, "time": 0.66577} +{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 22752, "data_time": 0.22836, "decode.loss_seg": 0.1936, "decode.acc_seg": 75.87962, "aux.loss_seg": 0.10008, "aux.acc_seg": 74.43164, "loss": 0.29367, "time": 0.87663} +{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.19057, "decode.acc_seg": 74.89712, "aux.loss_seg": 0.09733, "aux.acc_seg": 73.40413, "loss": 0.28791, "time": 0.65366} +{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.18905, "decode.acc_seg": 73.15104, "aux.loss_seg": 0.09732, "aux.acc_seg": 71.71359, "loss": 0.28638, "time": 0.67912} +{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.16738, "decode.acc_seg": 74.46402, "aux.loss_seg": 0.08682, "aux.acc_seg": 73.13433, "loss": 0.2542, "time": 0.67503} +{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.18917, "decode.acc_seg": 74.75848, "aux.loss_seg": 0.09628, "aux.acc_seg": 73.52714, "loss": 0.28545, "time": 0.66878} +{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.17945, "decode.acc_seg": 75.74246, "aux.loss_seg": 0.09331, "aux.acc_seg": 74.37902, "loss": 0.27275, "time": 0.6574} +{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.18445, "decode.acc_seg": 75.51057, "aux.loss_seg": 0.09422, "aux.acc_seg": 74.18216, "loss": 0.27868, "time": 0.66276} +{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.17228, "decode.acc_seg": 75.47691, "aux.loss_seg": 0.08862, "aux.acc_seg": 74.20126, "loss": 0.2609, "time": 0.65794} +{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.17006, "decode.acc_seg": 74.09131, "aux.loss_seg": 0.08834, "aux.acc_seg": 72.76129, "loss": 0.2584, "time": 0.66844} +{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.17871, "decode.acc_seg": 74.03571, "aux.loss_seg": 0.09232, "aux.acc_seg": 72.65094, "loss": 0.27103, "time": 0.67302} +{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.1792, "decode.acc_seg": 74.7553, "aux.loss_seg": 0.09197, "aux.acc_seg": 73.42825, "loss": 0.27118, "time": 0.63577} +{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.19242, "decode.acc_seg": 76.46156, "aux.loss_seg": 0.09826, "aux.acc_seg": 75.06002, "loss": 0.29068, "time": 0.67621} +{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.17886, "decode.acc_seg": 74.25377, "aux.loss_seg": 0.09316, "aux.acc_seg": 72.85439, "loss": 0.27202, "time": 0.66256} +{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.1882, "decode.acc_seg": 75.23045, "aux.loss_seg": 0.096, "aux.acc_seg": 73.904, "loss": 0.2842, "time": 0.65977} +{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.18777, "decode.acc_seg": 75.51704, "aux.loss_seg": 0.09717, "aux.acc_seg": 74.10505, "loss": 0.28494, "time": 0.66081} +{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.17061, "decode.acc_seg": 74.56428, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.16568, "loss": 0.26079, "time": 0.64983} +{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.17713, "decode.acc_seg": 74.57547, "aux.loss_seg": 0.09396, "aux.acc_seg": 73.09216, "loss": 0.27109, "time": 0.66573} +{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.17253, "decode.acc_seg": 74.00863, "aux.loss_seg": 0.09076, "aux.acc_seg": 72.54628, "loss": 0.26329, "time": 0.67001} +{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.17089, "decode.acc_seg": 73.96207, "aux.loss_seg": 0.08778, "aux.acc_seg": 72.65241, "loss": 0.25866, "time": 0.66284} +{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.17686, "decode.acc_seg": 74.70737, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.37073, "loss": 0.26836, "time": 0.64762} +{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 22752, "data_time": 0.0086, "decode.loss_seg": 0.17526, "decode.acc_seg": 74.48922, "aux.loss_seg": 0.08915, "aux.acc_seg": 73.24905, "loss": 0.26442, "time": 0.66064} +{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.18141, "decode.acc_seg": 74.55901, "aux.loss_seg": 0.09457, "aux.acc_seg": 73.04895, "loss": 0.27598, "time": 0.67666} +{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.19097, "decode.acc_seg": 74.6861, "aux.loss_seg": 0.09758, "aux.acc_seg": 73.3001, "loss": 0.28855, "time": 0.68045} +{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 22752, "data_time": 0.01108, "decode.loss_seg": 0.17728, "decode.acc_seg": 74.22243, "aux.loss_seg": 0.08996, "aux.acc_seg": 72.94294, "loss": 0.26724, "time": 0.676} +{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.18317, "decode.acc_seg": 74.6485, "aux.loss_seg": 0.09499, "aux.acc_seg": 73.30492, "loss": 0.27816, "time": 0.65656} +{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.16954, "decode.acc_seg": 75.04815, "aux.loss_seg": 0.08691, "aux.acc_seg": 73.77485, "loss": 0.25645, "time": 0.67473} +{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 22752, "data_time": 0.22893, "decode.loss_seg": 0.16533, "decode.acc_seg": 74.36185, "aux.loss_seg": 0.08551, "aux.acc_seg": 73.08778, "loss": 0.25084, "time": 0.89264} +{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.17928, "decode.acc_seg": 75.39936, "aux.loss_seg": 0.09293, "aux.acc_seg": 74.03207, "loss": 0.27221, "time": 0.65781} +{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.17872, "decode.acc_seg": 74.67097, "aux.loss_seg": 0.09301, "aux.acc_seg": 73.25341, "loss": 0.27172, "time": 0.63067} +{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.17974, "decode.acc_seg": 76.26877, "aux.loss_seg": 0.09072, "aux.acc_seg": 75.14217, "loss": 0.27046, "time": 0.65572} +{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.17923, "decode.acc_seg": 74.11227, "aux.loss_seg": 0.09375, "aux.acc_seg": 72.63507, "loss": 0.27297, "time": 0.65594} +{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.17126, "decode.acc_seg": 74.91265, "aux.loss_seg": 0.08882, "aux.acc_seg": 73.63064, "loss": 0.26008, "time": 0.66778} +{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.16961, "decode.acc_seg": 74.98217, "aux.loss_seg": 0.08958, "aux.acc_seg": 73.50593, "loss": 0.25919, "time": 0.64142} +{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.1767, "decode.acc_seg": 75.97073, "aux.loss_seg": 0.09242, "aux.acc_seg": 74.52071, "loss": 0.26912, "time": 0.63831} +{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.16937, "decode.acc_seg": 74.25876, "aux.loss_seg": 0.08778, "aux.acc_seg": 72.89382, "loss": 0.25715, "time": 0.66488} +{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 22752, "data_time": 0.01094, "decode.loss_seg": 0.18418, "decode.acc_seg": 74.65349, "aux.loss_seg": 0.09372, "aux.acc_seg": 73.28718, "loss": 0.27789, "time": 0.68121} +{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.18328, "decode.acc_seg": 73.93887, "aux.loss_seg": 0.09484, "aux.acc_seg": 72.54988, "loss": 0.27812, "time": 0.65262} +{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.17277, "decode.acc_seg": 74.49478, "aux.loss_seg": 0.09029, "aux.acc_seg": 73.10883, "loss": 0.26306, "time": 0.63893} +{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.17668, "decode.acc_seg": 73.68434, "aux.loss_seg": 0.09272, "aux.acc_seg": 72.33321, "loss": 0.26941, "time": 0.65855} +{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.18281, "decode.acc_seg": 74.22289, "aux.loss_seg": 0.09378, "aux.acc_seg": 72.89979, "loss": 0.27658, "time": 0.65444} +{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.18126, "decode.acc_seg": 74.75559, "aux.loss_seg": 0.0957, "aux.acc_seg": 73.23522, "loss": 0.27697, "time": 0.67005} +{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.17032, "decode.acc_seg": 74.44426, "aux.loss_seg": 0.08901, "aux.acc_seg": 73.07997, "loss": 0.25933, "time": 0.67213} +{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.17963, "decode.acc_seg": 75.81321, "aux.loss_seg": 0.09295, "aux.acc_seg": 74.51457, "loss": 0.27258, "time": 0.66507} +{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.17478, "decode.acc_seg": 75.36198, "aux.loss_seg": 0.08972, "aux.acc_seg": 74.15221, "loss": 0.2645, "time": 0.64465} +{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.16766, "decode.acc_seg": 74.02041, "aux.loss_seg": 0.08843, "aux.acc_seg": 72.59404, "loss": 0.25609, "time": 0.65551} +{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.17439, "decode.acc_seg": 74.9305, "aux.loss_seg": 0.08983, "aux.acc_seg": 73.65712, "loss": 0.26422, "time": 0.66291} +{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.17404, "decode.acc_seg": 74.00766, "aux.loss_seg": 0.09016, "aux.acc_seg": 72.68537, "loss": 0.2642, "time": 0.66377} +{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.18026, "decode.acc_seg": 74.26748, "aux.loss_seg": 0.09195, "aux.acc_seg": 72.95755, "loss": 0.27221, "time": 0.66813} +{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.16836, "decode.acc_seg": 75.13457, "aux.loss_seg": 0.08794, "aux.acc_seg": 73.80499, "loss": 0.2563, "time": 0.65062} +{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.18396, "decode.acc_seg": 75.5263, "aux.loss_seg": 0.09433, "aux.acc_seg": 74.18085, "loss": 0.27829, "time": 0.65253} +{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.18961, "decode.acc_seg": 74.6626, "aux.loss_seg": 0.09723, "aux.acc_seg": 73.30644, "loss": 0.28685, "time": 0.66434} +{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 22752, "data_time": 0.23069, "decode.loss_seg": 0.17277, "decode.acc_seg": 75.22317, "aux.loss_seg": 0.08894, "aux.acc_seg": 73.95826, "loss": 0.26172, "time": 0.87344} +{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.17552, "decode.acc_seg": 74.59155, "aux.loss_seg": 0.09179, "aux.acc_seg": 73.23667, "loss": 0.26731, "time": 0.65476} +{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.18043, "decode.acc_seg": 75.49512, "aux.loss_seg": 0.09416, "aux.acc_seg": 74.0511, "loss": 0.27458, "time": 0.66641} +{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.17918, "decode.acc_seg": 75.40211, "aux.loss_seg": 0.09295, "aux.acc_seg": 73.90984, "loss": 0.27213, "time": 0.65793} +{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.17264, "decode.acc_seg": 75.6435, "aux.loss_seg": 0.08838, "aux.acc_seg": 74.54408, "loss": 0.26102, "time": 0.6732} +{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.17204, "decode.acc_seg": 76.14501, "aux.loss_seg": 0.08893, "aux.acc_seg": 74.81722, "loss": 0.26096, "time": 0.65767} +{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 22752, "data_time": 0.00783, "decode.loss_seg": 0.16236, "decode.acc_seg": 76.54626, "aux.loss_seg": 0.08719, "aux.acc_seg": 75.01236, "loss": 0.24956, "time": 0.65121} +{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.18571, "decode.acc_seg": 74.4235, "aux.loss_seg": 0.09482, "aux.acc_seg": 73.13601, "loss": 0.28053, "time": 0.66239} +{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17424, "decode.acc_seg": 75.17331, "aux.loss_seg": 0.09062, "aux.acc_seg": 73.89279, "loss": 0.26486, "time": 0.63234} +{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 22752, "data_time": 0.00788, "decode.loss_seg": 0.19044, "decode.acc_seg": 75.68196, "aux.loss_seg": 0.09577, "aux.acc_seg": 74.43759, "loss": 0.28621, "time": 0.65986} +{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.18169, "decode.acc_seg": 74.53905, "aux.loss_seg": 0.0932, "aux.acc_seg": 73.14655, "loss": 0.27489, "time": 0.66481} +{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.17299, "decode.acc_seg": 74.6826, "aux.loss_seg": 0.08901, "aux.acc_seg": 73.38993, "loss": 0.26201, "time": 0.67905} +{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.18484, "decode.acc_seg": 74.9807, "aux.loss_seg": 0.09482, "aux.acc_seg": 73.68108, "loss": 0.27966, "time": 0.67094} +{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 22752, "data_time": 0.0078, "decode.loss_seg": 0.18004, "decode.acc_seg": 74.07576, "aux.loss_seg": 0.0916, "aux.acc_seg": 72.76042, "loss": 0.27164, "time": 0.663} +{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.16976, "decode.acc_seg": 75.03144, "aux.loss_seg": 0.08827, "aux.acc_seg": 73.72844, "loss": 0.25803, "time": 0.64243} +{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.17371, "decode.acc_seg": 74.94111, "aux.loss_seg": 0.08996, "aux.acc_seg": 73.6099, "loss": 0.26367, "time": 0.65394} +{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.17526, "decode.acc_seg": 74.39772, "aux.loss_seg": 0.09141, "aux.acc_seg": 72.9724, "loss": 0.26667, "time": 0.66005} +{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.18304, "decode.acc_seg": 73.60519, "aux.loss_seg": 0.09284, "aux.acc_seg": 72.26062, "loss": 0.27588, "time": 0.65288} +{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.18652, "decode.acc_seg": 75.60098, "aux.loss_seg": 0.09409, "aux.acc_seg": 74.31493, "loss": 0.28061, "time": 0.64216} +{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.1825, "decode.acc_seg": 75.21415, "aux.loss_seg": 0.09384, "aux.acc_seg": 73.93738, "loss": 0.27635, "time": 0.65385} +{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 22752, "data_time": 0.00784, "decode.loss_seg": 0.1768, "decode.acc_seg": 73.84104, "aux.loss_seg": 0.09071, "aux.acc_seg": 72.5788, "loss": 0.2675, "time": 0.65191} +{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.18269, "decode.acc_seg": 73.65498, "aux.loss_seg": 0.09358, "aux.acc_seg": 72.37442, "loss": 0.27627, "time": 0.67937} +{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.17999, "decode.acc_seg": 74.02722, "aux.loss_seg": 0.09329, "aux.acc_seg": 72.60182, "loss": 0.27328, "time": 0.65934} +{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.18024, "decode.acc_seg": 76.32933, "aux.loss_seg": 0.0915, "aux.acc_seg": 75.11947, "loss": 0.27174, "time": 0.67206} +{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.17968, "decode.acc_seg": 74.00003, "aux.loss_seg": 0.09372, "aux.acc_seg": 72.55803, "loss": 0.27341, "time": 0.64627} +{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 22752, "data_time": 0.22799, "decode.loss_seg": 0.17967, "decode.acc_seg": 74.35389, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.14359, "loss": 0.26986, "time": 0.85676} +{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.16807, "decode.acc_seg": 75.03112, "aux.loss_seg": 0.08817, "aux.acc_seg": 73.67753, "loss": 0.25624, "time": 0.65544} +{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.18204, "decode.acc_seg": 74.27999, "aux.loss_seg": 0.09421, "aux.acc_seg": 72.89148, "loss": 0.27625, "time": 0.65781} +{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.17598, "decode.acc_seg": 75.71113, "aux.loss_seg": 0.09122, "aux.acc_seg": 74.41913, "loss": 0.26721, "time": 0.64134} +{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.1672, "decode.acc_seg": 74.28089, "aux.loss_seg": 0.08521, "aux.acc_seg": 73.10062, "loss": 0.25241, "time": 0.64596} +{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.1751, "decode.acc_seg": 73.06278, "aux.loss_seg": 0.09265, "aux.acc_seg": 71.51356, "loss": 0.26775, "time": 0.65295} +{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.16611, "decode.acc_seg": 75.64072, "aux.loss_seg": 0.08849, "aux.acc_seg": 74.08874, "loss": 0.2546, "time": 0.67619} +{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18413, "decode.acc_seg": 75.37751, "aux.loss_seg": 0.09418, "aux.acc_seg": 74.05197, "loss": 0.27831, "time": 0.67157} +{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.17296, "decode.acc_seg": 74.49469, "aux.loss_seg": 0.09027, "aux.acc_seg": 73.06131, "loss": 0.26323, "time": 0.65394} +{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.1723, "decode.acc_seg": 76.3038, "aux.loss_seg": 0.08862, "aux.acc_seg": 74.98173, "loss": 0.26092, "time": 0.66547} +{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.17844, "decode.acc_seg": 76.10269, "aux.loss_seg": 0.09455, "aux.acc_seg": 74.58698, "loss": 0.273, "time": 0.66756} +{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.17357, "decode.acc_seg": 75.30432, "aux.loss_seg": 0.09082, "aux.acc_seg": 73.97597, "loss": 0.26439, "time": 0.65915} +{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 22752, "data_time": 0.00985, "decode.loss_seg": 0.17198, "decode.acc_seg": 74.37101, "aux.loss_seg": 0.08898, "aux.acc_seg": 73.06498, "loss": 0.26096, "time": 0.66348} +{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.17086, "decode.acc_seg": 74.33198, "aux.loss_seg": 0.08771, "aux.acc_seg": 73.03985, "loss": 0.25857, "time": 0.6523} +{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.17135, "decode.acc_seg": 75.99378, "aux.loss_seg": 0.08922, "aux.acc_seg": 74.655, "loss": 0.26057, "time": 0.63982} +{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.16636, "decode.acc_seg": 74.87895, "aux.loss_seg": 0.0877, "aux.acc_seg": 73.4788, "loss": 0.25406, "time": 0.66278} +{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.16848, "decode.acc_seg": 75.01869, "aux.loss_seg": 0.08673, "aux.acc_seg": 73.80831, "loss": 0.25521, "time": 0.67461} +{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.17561, "decode.acc_seg": 75.61295, "aux.loss_seg": 0.09247, "aux.acc_seg": 74.14335, "loss": 0.26807, "time": 0.67329} +{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.1801, "decode.acc_seg": 74.11356, "aux.loss_seg": 0.09393, "aux.acc_seg": 72.69057, "loss": 0.27403, "time": 0.66219} +{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.18375, "decode.acc_seg": 75.22967, "aux.loss_seg": 0.09452, "aux.acc_seg": 73.88103, "loss": 0.27827, "time": 0.66235} +{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.18395, "decode.acc_seg": 74.25812, "aux.loss_seg": 0.09211, "aux.acc_seg": 73.03181, "loss": 0.27607, "time": 0.66025} +{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.18349, "decode.acc_seg": 74.57947, "aux.loss_seg": 0.09534, "aux.acc_seg": 73.04353, "loss": 0.27883, "time": 0.64897} +{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.1731, "decode.acc_seg": 75.32007, "aux.loss_seg": 0.08915, "aux.acc_seg": 74.00064, "loss": 0.26225, "time": 0.67025} +{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.17569, "decode.acc_seg": 74.30792, "aux.loss_seg": 0.09057, "aux.acc_seg": 72.91376, "loss": 0.26626, "time": 0.65829} +{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.17459, "decode.acc_seg": 75.62843, "aux.loss_seg": 0.09036, "aux.acc_seg": 74.33703, "loss": 0.26495, "time": 0.66452} +{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 22752, "data_time": 0.22933, "decode.loss_seg": 0.1739, "decode.acc_seg": 75.54287, "aux.loss_seg": 0.09027, "aux.acc_seg": 74.2001, "loss": 0.26417, "time": 0.8791} +{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.17009, "decode.acc_seg": 75.82564, "aux.loss_seg": 0.08874, "aux.acc_seg": 74.47683, "loss": 0.25882, "time": 0.64709} +{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.17263, "decode.acc_seg": 75.74789, "aux.loss_seg": 0.09068, "aux.acc_seg": 74.34574, "loss": 0.26331, "time": 0.67001} +{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.17383, "decode.acc_seg": 75.15263, "aux.loss_seg": 0.09123, "aux.acc_seg": 73.75861, "loss": 0.26506, "time": 0.66431} +{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.17403, "decode.acc_seg": 75.46662, "aux.loss_seg": 0.08872, "aux.acc_seg": 74.24418, "loss": 0.26275, "time": 0.67564} +{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.17934, "decode.acc_seg": 75.3791, "aux.loss_seg": 0.09394, "aux.acc_seg": 73.86137, "loss": 0.27327, "time": 0.67801} +{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.17174, "decode.acc_seg": 75.19344, "aux.loss_seg": 0.08852, "aux.acc_seg": 73.91653, "loss": 0.26026, "time": 0.67748} +{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.16878, "decode.acc_seg": 74.37006, "aux.loss_seg": 0.08607, "aux.acc_seg": 73.1455, "loss": 0.25485, "time": 0.66574} +{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.1723, "decode.acc_seg": 75.20255, "aux.loss_seg": 0.08995, "aux.acc_seg": 73.84007, "loss": 0.26225, "time": 0.66959} +{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.1646, "decode.acc_seg": 75.04777, "aux.loss_seg": 0.08708, "aux.acc_seg": 73.65795, "loss": 0.25168, "time": 0.67202} +{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.16413, "decode.acc_seg": 73.90404, "aux.loss_seg": 0.08616, "aux.acc_seg": 72.52804, "loss": 0.25028, "time": 0.66981} +{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.17826, "decode.acc_seg": 75.04239, "aux.loss_seg": 0.09106, "aux.acc_seg": 73.79458, "loss": 0.26932, "time": 0.66537} +{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.17416, "decode.acc_seg": 75.79176, "aux.loss_seg": 0.08995, "aux.acc_seg": 74.42427, "loss": 0.26411, "time": 0.65185} +{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.17547, "decode.acc_seg": 74.7931, "aux.loss_seg": 0.09052, "aux.acc_seg": 73.46202, "loss": 0.26599, "time": 0.66423} +{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.17472, "decode.acc_seg": 75.79611, "aux.loss_seg": 0.09079, "aux.acc_seg": 74.41274, "loss": 0.26551, "time": 0.65886} +{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.18008, "decode.acc_seg": 75.40203, "aux.loss_seg": 0.09226, "aux.acc_seg": 74.10588, "loss": 0.27234, "time": 0.64455} +{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.16784, "decode.acc_seg": 75.40861, "aux.loss_seg": 0.08677, "aux.acc_seg": 74.11779, "loss": 0.25461, "time": 0.6584} +{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.16588, "decode.acc_seg": 73.17765, "aux.loss_seg": 0.08639, "aux.acc_seg": 71.83917, "loss": 0.25227, "time": 0.66903} +{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.17376, "decode.acc_seg": 75.18837, "aux.loss_seg": 0.09118, "aux.acc_seg": 73.70199, "loss": 0.26494, "time": 0.66094} +{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.16317, "decode.acc_seg": 73.45816, "aux.loss_seg": 0.08523, "aux.acc_seg": 72.17674, "loss": 0.24839, "time": 0.67681} +{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.17512, "decode.acc_seg": 75.50795, "aux.loss_seg": 0.09075, "aux.acc_seg": 74.06482, "loss": 0.26586, "time": 0.64368} +{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.18014, "decode.acc_seg": 72.35273, "aux.loss_seg": 0.09015, "aux.acc_seg": 71.17376, "loss": 0.27028, "time": 0.66623} +{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.17323, "decode.acc_seg": 76.12014, "aux.loss_seg": 0.08943, "aux.acc_seg": 74.85259, "loss": 0.26266, "time": 0.66763} +{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 22752, "data_time": 0.01112, "decode.loss_seg": 0.16553, "decode.acc_seg": 74.67603, "aux.loss_seg": 0.08593, "aux.acc_seg": 73.3935, "loss": 0.25146, "time": 0.67202} +{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.17263, "decode.acc_seg": 76.17927, "aux.loss_seg": 0.08921, "aux.acc_seg": 74.89861, "loss": 0.26184, "time": 0.65734} +{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 22752, "data_time": 0.01074, "decode.loss_seg": 0.1763, "decode.acc_seg": 76.35916, "aux.loss_seg": 0.09012, "aux.acc_seg": 75.03269, "loss": 0.26642, "time": 0.65691} +{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 22752, "data_time": 0.22991, "decode.loss_seg": 0.17119, "decode.acc_seg": 75.2499, "aux.loss_seg": 0.08936, "aux.acc_seg": 73.88071, "loss": 0.26055, "time": 0.8879} +{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 22752, "data_time": 0.01069, "decode.loss_seg": 0.19039, "decode.acc_seg": 74.90811, "aux.loss_seg": 0.09813, "aux.acc_seg": 73.45659, "loss": 0.28852, "time": 0.67159} +{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.19724, "decode.acc_seg": 73.91714, "aux.loss_seg": 0.09855, "aux.acc_seg": 72.55191, "loss": 0.29579, "time": 0.64877} +{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 22752, "data_time": 0.01081, "decode.loss_seg": 0.16281, "decode.acc_seg": 74.33947, "aux.loss_seg": 0.08502, "aux.acc_seg": 73.0041, "loss": 0.24783, "time": 0.66496} +{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 22752, "data_time": 0.01151, "decode.loss_seg": 0.17647, "decode.acc_seg": 75.15118, "aux.loss_seg": 0.09181, "aux.acc_seg": 73.80037, "loss": 0.26828, "time": 0.67296} +{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.17078, "decode.acc_seg": 76.48733, "aux.loss_seg": 0.09011, "aux.acc_seg": 75.00095, "loss": 0.2609, "time": 0.64864} +{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 22752, "data_time": 0.01086, "decode.loss_seg": 0.17747, "decode.acc_seg": 76.36309, "aux.loss_seg": 0.09226, "aux.acc_seg": 75.03426, "loss": 0.26974, "time": 0.66193} +{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 22752, "data_time": 0.01161, "decode.loss_seg": 0.15783, "decode.acc_seg": 75.07297, "aux.loss_seg": 0.08352, "aux.acc_seg": 73.72015, "loss": 0.24135, "time": 0.64448} +{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 22752, "data_time": 0.01108, "decode.loss_seg": 0.17472, "decode.acc_seg": 75.53861, "aux.loss_seg": 0.09204, "aux.acc_seg": 74.11514, "loss": 0.26676, "time": 0.65213} +{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 22752, "data_time": 0.01283, "decode.loss_seg": 0.16588, "decode.acc_seg": 74.30641, "aux.loss_seg": 0.08732, "aux.acc_seg": 72.92655, "loss": 0.2532, "time": 0.66831} +{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 22752, "data_time": 0.01108, "decode.loss_seg": 0.17272, "decode.acc_seg": 75.63782, "aux.loss_seg": 0.08947, "aux.acc_seg": 74.32449, "loss": 0.26219, "time": 0.6648} +{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 22752, "data_time": 0.01115, "decode.loss_seg": 0.16625, "decode.acc_seg": 75.12902, "aux.loss_seg": 0.08724, "aux.acc_seg": 73.80122, "loss": 0.25349, "time": 0.65355} +{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 22752, "data_time": 0.0116, "decode.loss_seg": 0.16898, "decode.acc_seg": 73.33099, "aux.loss_seg": 0.08849, "aux.acc_seg": 71.92755, "loss": 0.25747, "time": 0.65798} +{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 22752, "data_time": 0.01085, "decode.loss_seg": 0.16671, "decode.acc_seg": 74.63048, "aux.loss_seg": 0.08723, "aux.acc_seg": 73.25176, "loss": 0.25394, "time": 0.65122} +{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 22752, "data_time": 0.01194, "decode.loss_seg": 0.17504, "decode.acc_seg": 74.95872, "aux.loss_seg": 0.0919, "aux.acc_seg": 73.50892, "loss": 0.26694, "time": 0.67275} +{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 22752, "data_time": 0.01136, "decode.loss_seg": 0.17625, "decode.acc_seg": 76.4925, "aux.loss_seg": 0.09257, "aux.acc_seg": 74.981, "loss": 0.26882, "time": 0.65657} +{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 22752, "data_time": 0.01057, "decode.loss_seg": 0.1589, "decode.acc_seg": 74.04211, "aux.loss_seg": 0.08341, "aux.acc_seg": 72.70285, "loss": 0.24231, "time": 0.65569} +{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.17162, "decode.acc_seg": 74.27593, "aux.loss_seg": 0.09057, "aux.acc_seg": 72.85352, "loss": 0.26219, "time": 0.66492} +{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.16747, "decode.acc_seg": 73.82055, "aux.loss_seg": 0.08626, "aux.acc_seg": 72.53719, "loss": 0.25373, "time": 0.68026} +{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 22752, "data_time": 0.01084, "decode.loss_seg": 0.17115, "decode.acc_seg": 74.39414, "aux.loss_seg": 0.0889, "aux.acc_seg": 73.07177, "loss": 0.26004, "time": 0.6725} +{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.16414, "decode.acc_seg": 74.40647, "aux.loss_seg": 0.08498, "aux.acc_seg": 73.15606, "loss": 0.24911, "time": 0.6508} +{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 22752, "data_time": 0.01013, "decode.loss_seg": 0.1774, "decode.acc_seg": 73.73121, "aux.loss_seg": 0.09061, "aux.acc_seg": 72.42107, "loss": 0.26801, "time": 0.67232} +{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.17643, "decode.acc_seg": 75.9247, "aux.loss_seg": 0.09003, "aux.acc_seg": 74.66111, "loss": 0.26646, "time": 0.66064} +{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 22752, "data_time": 0.01044, "decode.loss_seg": 0.16469, "decode.acc_seg": 73.88286, "aux.loss_seg": 0.08548, "aux.acc_seg": 72.51124, "loss": 0.25017, "time": 0.64002} +{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.173, "decode.acc_seg": 74.76081, "aux.loss_seg": 0.09002, "aux.acc_seg": 73.43162, "loss": 0.26302, "time": 0.66523} +{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 22752, "data_time": 0.2329, "decode.loss_seg": 0.17021, "decode.acc_seg": 74.6543, "aux.loss_seg": 0.08785, "aux.acc_seg": 73.31741, "loss": 0.25806, "time": 0.88974} +{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.16586, "decode.acc_seg": 74.39591, "aux.loss_seg": 0.08536, "aux.acc_seg": 73.12916, "loss": 0.25122, "time": 0.65575} +{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.17068, "decode.acc_seg": 75.12245, "aux.loss_seg": 0.08736, "aux.acc_seg": 73.84491, "loss": 0.25804, "time": 0.67638} +{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.16767, "decode.acc_seg": 75.67272, "aux.loss_seg": 0.08655, "aux.acc_seg": 74.37268, "loss": 0.25422, "time": 0.67652} +{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.1655, "decode.acc_seg": 74.03414, "aux.loss_seg": 0.08772, "aux.acc_seg": 72.64084, "loss": 0.25321, "time": 0.67339} +{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16935, "decode.acc_seg": 76.46594, "aux.loss_seg": 0.08952, "aux.acc_seg": 75.04858, "loss": 0.25888, "time": 0.67453} +{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.16974, "decode.acc_seg": 76.4522, "aux.loss_seg": 0.08754, "aux.acc_seg": 75.237, "loss": 0.25728, "time": 0.67183} +{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.17551, "decode.acc_seg": 74.43766, "aux.loss_seg": 0.08831, "aux.acc_seg": 73.21745, "loss": 0.26383, "time": 0.67377} +{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.17382, "decode.acc_seg": 75.19609, "aux.loss_seg": 0.08877, "aux.acc_seg": 73.93218, "loss": 0.2626, "time": 0.68074} +{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.17588, "decode.acc_seg": 76.55752, "aux.loss_seg": 0.09258, "aux.acc_seg": 75.10121, "loss": 0.26846, "time": 0.67011} +{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.17153, "decode.acc_seg": 75.77203, "aux.loss_seg": 0.08812, "aux.acc_seg": 74.49732, "loss": 0.25965, "time": 0.65718} +{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.18369, "decode.acc_seg": 75.30687, "aux.loss_seg": 0.09165, "aux.acc_seg": 74.09188, "loss": 0.27535, "time": 0.65447} +{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.1764, "decode.acc_seg": 74.72504, "aux.loss_seg": 0.08931, "aux.acc_seg": 73.46395, "loss": 0.26571, "time": 0.66494} +{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.17437, "decode.acc_seg": 75.56736, "aux.loss_seg": 0.0913, "aux.acc_seg": 74.09492, "loss": 0.26567, "time": 0.65851} +{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.16781, "decode.acc_seg": 74.11561, "aux.loss_seg": 0.08786, "aux.acc_seg": 72.80942, "loss": 0.25567, "time": 0.67775} +{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.17918, "decode.acc_seg": 75.46434, "aux.loss_seg": 0.0914, "aux.acc_seg": 74.24255, "loss": 0.27059, "time": 0.67846} +{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.16885, "decode.acc_seg": 74.7171, "aux.loss_seg": 0.08834, "aux.acc_seg": 73.31275, "loss": 0.25718, "time": 0.67043} +{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.34207, "aux.loss_seg": 0.08762, "aux.acc_seg": 73.00354, "loss": 0.25496, "time": 0.6696} +{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.17156, "decode.acc_seg": 75.74438, "aux.loss_seg": 0.08975, "aux.acc_seg": 74.43837, "loss": 0.26131, "time": 0.679} +{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.18139, "decode.acc_seg": 74.19505, "aux.loss_seg": 0.09315, "aux.acc_seg": 72.86601, "loss": 0.27454, "time": 0.67709} +{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.18141, "decode.acc_seg": 75.58894, "aux.loss_seg": 0.09431, "aux.acc_seg": 74.17867, "loss": 0.27572, "time": 0.6636} +{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.17934, "decode.acc_seg": 76.21758, "aux.loss_seg": 0.09302, "aux.acc_seg": 74.76459, "loss": 0.27236, "time": 0.66243} +{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.1658, "decode.acc_seg": 76.23014, "aux.loss_seg": 0.08629, "aux.acc_seg": 74.91256, "loss": 0.2521, "time": 0.65132} +{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.18672, "decode.acc_seg": 73.69015, "aux.loss_seg": 0.09489, "aux.acc_seg": 72.41323, "loss": 0.28162, "time": 0.65816} +{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.16709, "decode.acc_seg": 75.78954, "aux.loss_seg": 0.08772, "aux.acc_seg": 74.396, "loss": 0.25482, "time": 0.67593} +{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 22752, "data_time": 0.23537, "decode.loss_seg": 0.17419, "decode.acc_seg": 74.95144, "aux.loss_seg": 0.08988, "aux.acc_seg": 73.75682, "loss": 0.26407, "time": 0.85957} +{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 22752, "data_time": 0.01044, "decode.loss_seg": 0.17591, "decode.acc_seg": 75.10866, "aux.loss_seg": 0.09291, "aux.acc_seg": 73.54753, "loss": 0.26882, "time": 0.64599} +{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.17422, "decode.acc_seg": 73.77635, "aux.loss_seg": 0.0898, "aux.acc_seg": 72.42373, "loss": 0.26402, "time": 0.6649} +{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.18256, "decode.acc_seg": 76.37229, "aux.loss_seg": 0.09471, "aux.acc_seg": 74.98051, "loss": 0.27728, "time": 0.66764} +{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 22752, "data_time": 0.01085, "decode.loss_seg": 0.16467, "decode.acc_seg": 76.24173, "aux.loss_seg": 0.08527, "aux.acc_seg": 74.94934, "loss": 0.24995, "time": 0.68198} +{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.17176, "decode.acc_seg": 75.57033, "aux.loss_seg": 0.0904, "aux.acc_seg": 74.122, "loss": 0.26216, "time": 0.65634} +{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1701, "decode.acc_seg": 74.55961, "aux.loss_seg": 0.08804, "aux.acc_seg": 73.24224, "loss": 0.25813, "time": 0.64098} +{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17322, "decode.acc_seg": 76.22236, "aux.loss_seg": 0.08925, "aux.acc_seg": 74.91548, "loss": 0.26247, "time": 0.65126} +{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.82036, "aux.loss_seg": 0.09036, "aux.acc_seg": 73.50696, "loss": 0.26616, "time": 0.65209} +{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.18532, "decode.acc_seg": 75.67564, "aux.loss_seg": 0.0973, "aux.acc_seg": 74.16535, "loss": 0.28262, "time": 0.66176} +{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.16516, "decode.acc_seg": 74.36556, "aux.loss_seg": 0.08756, "aux.acc_seg": 72.94198, "loss": 0.25272, "time": 0.66183} +{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.16563, "decode.acc_seg": 75.12963, "aux.loss_seg": 0.08604, "aux.acc_seg": 73.77764, "loss": 0.25167, "time": 0.65283} +{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.17133, "decode.acc_seg": 74.71802, "aux.loss_seg": 0.08958, "aux.acc_seg": 73.32374, "loss": 0.26091, "time": 0.66342} +{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.16474, "decode.acc_seg": 74.37226, "aux.loss_seg": 0.08634, "aux.acc_seg": 73.06887, "loss": 0.25107, "time": 0.66643} +{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.1623, "decode.acc_seg": 75.21473, "aux.loss_seg": 0.08446, "aux.acc_seg": 73.90119, "loss": 0.24676, "time": 0.66772} +{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.16273, "decode.acc_seg": 74.19713, "aux.loss_seg": 0.08592, "aux.acc_seg": 72.83392, "loss": 0.24865, "time": 0.66582} +{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.16704, "decode.acc_seg": 75.21211, "aux.loss_seg": 0.0889, "aux.acc_seg": 73.82875, "loss": 0.25594, "time": 0.6712} +{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.16298, "decode.acc_seg": 75.40675, "aux.loss_seg": 0.08513, "aux.acc_seg": 74.0379, "loss": 0.24811, "time": 0.67095} +{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.16965, "decode.acc_seg": 74.93641, "aux.loss_seg": 0.0885, "aux.acc_seg": 73.54042, "loss": 0.25815, "time": 0.66504} +{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.16907, "decode.acc_seg": 75.31015, "aux.loss_seg": 0.08799, "aux.acc_seg": 73.96953, "loss": 0.25705, "time": 0.66224} +{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.16126, "decode.acc_seg": 74.3349, "aux.loss_seg": 0.0856, "aux.acc_seg": 72.90101, "loss": 0.24686, "time": 0.66744} +{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.1668, "decode.acc_seg": 75.40575, "aux.loss_seg": 0.08691, "aux.acc_seg": 74.17621, "loss": 0.25371, "time": 0.6562} +{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.16881, "decode.acc_seg": 76.63921, "aux.loss_seg": 0.08751, "aux.acc_seg": 75.27486, "loss": 0.25632, "time": 0.64367} +{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.17675, "decode.acc_seg": 76.29261, "aux.loss_seg": 0.09107, "aux.acc_seg": 74.92264, "loss": 0.26782, "time": 0.67988} +{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.17971, "decode.acc_seg": 74.9466, "aux.loss_seg": 0.09142, "aux.acc_seg": 73.7083, "loss": 0.27113, "time": 0.6703} +{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 22752, "data_time": 0.23149, "decode.loss_seg": 0.17208, "decode.acc_seg": 74.34298, "aux.loss_seg": 0.08842, "aux.acc_seg": 73.03087, "loss": 0.26049, "time": 0.85852} +{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.16331, "decode.acc_seg": 76.49489, "aux.loss_seg": 0.08585, "aux.acc_seg": 75.13676, "loss": 0.24916, "time": 0.66056} +{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.16677, "decode.acc_seg": 75.46428, "aux.loss_seg": 0.08712, "aux.acc_seg": 74.13615, "loss": 0.25389, "time": 0.67176} +{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.17493, "decode.acc_seg": 74.42926, "aux.loss_seg": 0.09027, "aux.acc_seg": 73.16923, "loss": 0.2652, "time": 0.63786} +{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.16208, "decode.acc_seg": 73.52627, "aux.loss_seg": 0.08355, "aux.acc_seg": 72.3628, "loss": 0.24563, "time": 0.6776} +{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.16971, "decode.acc_seg": 74.56422, "aux.loss_seg": 0.08907, "aux.acc_seg": 73.15461, "loss": 0.25878, "time": 0.65726} +{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.16675, "decode.acc_seg": 75.1256, "aux.loss_seg": 0.08633, "aux.acc_seg": 73.87107, "loss": 0.25308, "time": 0.67659} +{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.16779, "decode.acc_seg": 74.8853, "aux.loss_seg": 0.08681, "aux.acc_seg": 73.55433, "loss": 0.2546, "time": 0.67254} +{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.1668, "decode.acc_seg": 75.22615, "aux.loss_seg": 0.08778, "aux.acc_seg": 73.87205, "loss": 0.25458, "time": 0.6496} +{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16359, "decode.acc_seg": 75.79421, "aux.loss_seg": 0.08497, "aux.acc_seg": 74.48818, "loss": 0.24856, "time": 0.67654} +{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.16675, "decode.acc_seg": 75.01341, "aux.loss_seg": 0.08747, "aux.acc_seg": 73.62321, "loss": 0.25422, "time": 0.66973} +{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.18157, "decode.acc_seg": 75.42638, "aux.loss_seg": 0.09453, "aux.acc_seg": 73.93657, "loss": 0.2761, "time": 0.65336} +{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.16251, "decode.acc_seg": 74.75276, "aux.loss_seg": 0.0857, "aux.acc_seg": 73.36724, "loss": 0.24821, "time": 0.65991} +{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.17296, "decode.acc_seg": 75.07248, "aux.loss_seg": 0.09049, "aux.acc_seg": 73.62339, "loss": 0.26345, "time": 0.67579} +{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.17722, "decode.acc_seg": 75.47071, "aux.loss_seg": 0.09292, "aux.acc_seg": 74.00662, "loss": 0.27013, "time": 0.6671} +{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.1678, "decode.acc_seg": 73.98678, "aux.loss_seg": 0.0877, "aux.acc_seg": 72.5839, "loss": 0.2555, "time": 0.68278} +{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.17811, "decode.acc_seg": 74.90891, "aux.loss_seg": 0.09199, "aux.acc_seg": 73.61638, "loss": 0.2701, "time": 0.67277} +{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4741, "mAcc": 0.5987, "aAcc": 0.8222, "IoU.wall": 0.7588, "IoU.building": 0.8125, "IoU.sky": 0.9379, "IoU.floor": 0.8162, "IoU.tree": 0.736, "IoU.ceiling": 0.8398, "IoU.road": 0.8368, "IoU.bed ": 0.8592, "IoU.windowpane": 0.5969, "IoU.grass": 0.6935, "IoU.cabinet": 0.5742, "IoU.sidewalk": 0.6551, "IoU.person": 0.7789, "IoU.earth": 0.3514, "IoU.door": 0.4518, "IoU.table": 0.5915, "IoU.mountain": 0.6099, "IoU.plant": 0.495, "IoU.curtain": 0.7041, "IoU.chair": 0.5469, "IoU.car": 0.8231, "IoU.water": 0.5577, "IoU.painting": 0.6666, "IoU.sofa": 0.5975, "IoU.shelf": 0.4304, "IoU.house": 0.4279, "IoU.sea": 0.5576, "IoU.mirror": 0.6516, "IoU.rug": 0.6706, "IoU.field": 0.267, "IoU.armchair": 0.3532, "IoU.seat": 0.6079, "IoU.fence": 0.3715, "IoU.desk": 0.4781, "IoU.rock": 0.4366, "IoU.wardrobe": 0.4901, "IoU.lamp": 0.6019, "IoU.bathtub": 0.7443, "IoU.railing": 0.3019, "IoU.cushion": 0.5121, "IoU.base": 0.2587, "IoU.box": 0.2455, "IoU.column": 0.4388, "IoU.signboard": 0.3519, "IoU.chest of drawers": 0.2994, "IoU.counter": 0.2212, "IoU.sand": 0.3643, "IoU.sink": 0.6943, "IoU.skyscraper": 0.5671, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7497, "IoU.grandstand": 0.4482, "IoU.path": 0.2623, "IoU.stairs": 0.2892, "IoU.runway": 0.7286, "IoU.case": 0.4141, "IoU.pool table": 0.9091, "IoU.pillow": 0.5745, "IoU.screen door": 0.6989, "IoU.stairway": 0.3142, "IoU.river": 0.0913, "IoU.bridge": 0.6693, "IoU.bookcase": 0.3762, "IoU.blind": NaN, "IoU.coffee table": 0.5476, "IoU.toilet": 0.8288, "IoU.flower": 0.4329, "IoU.book": 0.4581, "IoU.hill": 0.1598, "IoU.bench": 0.4507, "IoU.countertop": 0.505, "IoU.stove": 0.7221, "IoU.palm": 0.4694, "IoU.kitchen island": 0.4121, "IoU.computer": 0.6214, "IoU.swivel chair": 0.4086, "IoU.boat": 0.4211, "IoU.bar": 0.4502, "IoU.arcade machine": 0.4718, "IoU.hovel": 0.263, "IoU.bus": 0.8394, "IoU.towel": 0.6667, "IoU.light": 0.5444, "IoU.truck": 0.2613, "IoU.tower": 0.1669, "IoU.chandelier": 0.6547, "IoU.awning": 0.2854, "IoU.streetlight": 0.2099, "IoU.booth": 0.5753, "IoU.television receiver": NaN, "IoU.airplane": 0.6084, "IoU.dirt track": 0.1693, "IoU.apparel": 0.3325, "IoU.pole": 0.1528, "IoU.land": 0.0353, "IoU.bannister": 0.1277, "IoU.escalator": 0.2453, "IoU.ottoman": 0.3544, "IoU.bottle": NaN, "IoU.buffet": 0.4749, "IoU.poster": 0.2794, "IoU.stage": 0.2079, "IoU.van": 0.4035, "IoU.ship": 0.6289, "IoU.fountain": 0.3035, "IoU.conveyer belt": 0.81, "IoU.canopy": 0.2926, "IoU.washer": 0.71, "IoU.plaything": 0.1895, "IoU.swimming pool": 0.739, "IoU.stool": 0.381, "IoU.barrel": 0.5097, "IoU.basket": 0.3176, "IoU.waterfall": 0.5369, "IoU.tent": 0.9113, "IoU.bag": 0.113, "IoU.minibike": 0.7451, "IoU.cradle": NaN, "IoU.oven": 0.3602, "IoU.ball": 0.4356, "IoU.food": 0.3249, "IoU.step": 0.0515, "IoU.tank": 0.5531, "IoU.trade name": 0.2688, "IoU.microwave": 0.8163, "IoU.pot": 0.5106, "IoU.animal": NaN, "IoU.bicycle": 0.522, "IoU.lake": 0.4768, "IoU.dishwasher": 0.5843, "IoU.screen": 0.5664, "IoU.blanket": 0.1618, "IoU.sculpture": 0.6438, "IoU.hood": 0.5528, "IoU.sconce": 0.4637, "IoU.vase": 0.356, "IoU.traffic light": 0.2818, "IoU.tray": 0.1032, "IoU.ashcan": 0.3893, "IoU.fan": 0.5731, "IoU.pier": 0.3691, "IoU.crt screen": 0.0397, "IoU.plate": 0.5138, "IoU.monitor": 0.0857, "IoU.bulletin board": 0.3748, "IoU.shower": 0.0405, "IoU.radiator": 0.5548, "IoU.glass": 0.1343, "IoU.clock": 0.2715, "IoU.flag": 0.3218, "Acc.wall": 0.8727, "Acc.building": 0.927, "Acc.sky": 0.9704, "Acc.floor": 0.9041, "Acc.tree": 0.8733, "Acc.ceiling": 0.9156, "Acc.road": 0.8962, "Acc.bed ": 0.9366, "Acc.windowpane": 0.7611, "Acc.grass": 0.8802, "Acc.cabinet": 0.711, "Acc.sidewalk": 0.8183, "Acc.person": 0.9111, "Acc.earth": 0.445, "Acc.door": 0.6036, "Acc.table": 0.7546, "Acc.mountain": 0.7705, "Acc.plant": 0.6158, "Acc.curtain": 0.8158, "Acc.chair": 0.6692, "Acc.car": 0.9043, "Acc.water": 0.7347, "Acc.painting": 0.8407, "Acc.sofa": 0.8126, "Acc.shelf": 0.6277, "Acc.house": 0.5426, "Acc.sea": 0.7578, "Acc.mirror": 0.7324, "Acc.rug": 0.7512, "Acc.field": 0.3945, "Acc.armchair": 0.494, "Acc.seat": 0.8067, "Acc.fence": 0.4849, "Acc.desk": 0.6414, "Acc.rock": 0.696, "Acc.wardrobe": 0.6632, "Acc.lamp": 0.7409, "Acc.bathtub": 0.82, "Acc.railing": 0.3589, "Acc.cushion": 0.6776, "Acc.base": 0.401, "Acc.box": 0.3179, "Acc.column": 0.5345, "Acc.signboard": 0.4905, "Acc.chest of drawers": 0.5413, "Acc.counter": 0.2768, "Acc.sand": 0.6574, "Acc.sink": 0.7676, "Acc.skyscraper": 0.7023, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8298, "Acc.grandstand": 0.6871, "Acc.path": 0.3708, "Acc.stairs": 0.3734, "Acc.runway": 0.9653, "Acc.case": 0.4948, "Acc.pool table": 0.9526, "Acc.pillow": 0.7668, "Acc.screen door": 0.7871, "Acc.stairway": 0.3582, "Acc.river": 0.1638, "Acc.bridge": 0.7923, "Acc.bookcase": 0.4553, "Acc.blind": NaN, "Acc.coffee table": 0.83, "Acc.toilet": 0.9002, "Acc.flower": 0.6136, "Acc.book": 0.6603, "Acc.hill": 0.2192, "Acc.bench": 0.5367, "Acc.countertop": 0.7174, "Acc.stove": 0.8612, "Acc.palm": 0.7339, "Acc.kitchen island": 0.7984, "Acc.computer": 0.7455, "Acc.swivel chair": 0.6629, "Acc.boat": 0.5693, "Acc.bar": 0.6334, "Acc.arcade machine": 0.507, "Acc.hovel": 0.3141, "Acc.bus": 0.956, "Acc.towel": 0.8364, "Acc.light": 0.6371, "Acc.truck": 0.3276, "Acc.tower": 0.2756, "Acc.chandelier": 0.7967, "Acc.awning": 0.3491, "Acc.streetlight": 0.2833, "Acc.booth": 0.7433, "Acc.television receiver": NaN, "Acc.airplane": 0.6965, "Acc.dirt track": 0.4717, "Acc.apparel": 0.4389, "Acc.pole": 0.2058, "Acc.land": 0.0518, "Acc.bannister": 0.1657, "Acc.escalator": 0.3139, "Acc.ottoman": 0.4819, "Acc.bottle": NaN, "Acc.buffet": 0.537, "Acc.poster": 0.3676, "Acc.stage": 0.295, "Acc.van": 0.5521, "Acc.ship": 0.9669, "Acc.fountain": 0.3134, "Acc.conveyer belt": 0.9175, "Acc.canopy": 0.4631, "Acc.washer": 0.7385, "Acc.plaything": 0.3309, "Acc.swimming pool": 0.8267, "Acc.stool": 0.536, "Acc.barrel": 0.7972, "Acc.basket": 0.4511, "Acc.waterfall": 0.7728, "Acc.tent": 0.9827, "Acc.bag": 0.1394, "Acc.minibike": 0.8909, "Acc.cradle": NaN, "Acc.oven": 0.411, "Acc.ball": 0.5912, "Acc.food": 0.3687, "Acc.step": 0.0565, "Acc.tank": 0.6549, "Acc.trade name": 0.3078, "Acc.microwave": 0.9318, "Acc.pot": 0.5735, "Acc.animal": NaN, "Acc.bicycle": 0.7541, "Acc.lake": 0.5417, "Acc.dishwasher": 0.7151, "Acc.screen": 0.6751, "Acc.blanket": 0.2146, "Acc.sculpture": 0.7777, "Acc.hood": 0.5995, "Acc.sconce": 0.5749, "Acc.vase": 0.5217, "Acc.traffic light": 0.4107, "Acc.tray": 0.2058, "Acc.ashcan": 0.473, "Acc.fan": 0.7307, "Acc.pier": 0.6119, "Acc.crt screen": 0.1463, "Acc.plate": 0.6961, "Acc.monitor": 0.1211, "Acc.bulletin board": 0.4891, "Acc.shower": 0.0442, "Acc.radiator": 0.7507, "Acc.glass": 0.1431, "Acc.clock": 0.3163, "Acc.flag": 0.3703} +{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 22752, "data_time": 1.61567, "decode.loss_seg": 0.16845, "decode.acc_seg": 74.71395, "aux.loss_seg": 0.087, "aux.acc_seg": 73.41178, "loss": 0.25545, "time": 2.26244} +{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.16347, "decode.acc_seg": 76.3158, "aux.loss_seg": 0.08494, "aux.acc_seg": 74.9925, "loss": 0.24842, "time": 0.67297} +{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.1745, "decode.acc_seg": 74.85183, "aux.loss_seg": 0.09132, "aux.acc_seg": 73.36112, "loss": 0.26582, "time": 0.65135} +{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.17374, "decode.acc_seg": 75.44636, "aux.loss_seg": 0.0884, "aux.acc_seg": 74.14472, "loss": 0.26214, "time": 0.6674} +{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.17367, "decode.acc_seg": 74.02544, "aux.loss_seg": 0.09075, "aux.acc_seg": 72.64641, "loss": 0.26442, "time": 0.65479} +{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.17462, "decode.acc_seg": 75.52016, "aux.loss_seg": 0.0924, "aux.acc_seg": 74.09796, "loss": 0.26703, "time": 0.66849} +{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.16264, "decode.acc_seg": 74.95551, "aux.loss_seg": 0.08378, "aux.acc_seg": 73.7233, "loss": 0.24642, "time": 0.68243} +{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.16775, "decode.acc_seg": 73.99104, "aux.loss_seg": 0.08828, "aux.acc_seg": 72.54734, "loss": 0.25603, "time": 0.66494} +{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 22752, "data_time": 0.22717, "decode.loss_seg": 0.15956, "decode.acc_seg": 75.76823, "aux.loss_seg": 0.08445, "aux.acc_seg": 74.3724, "loss": 0.24402, "time": 0.8877} +{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.16486, "decode.acc_seg": 75.00426, "aux.loss_seg": 0.08659, "aux.acc_seg": 73.69577, "loss": 0.25145, "time": 0.65869} +{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.17222, "decode.acc_seg": 74.82507, "aux.loss_seg": 0.08983, "aux.acc_seg": 73.50601, "loss": 0.26205, "time": 0.65744} +{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.16783, "decode.acc_seg": 77.08995, "aux.loss_seg": 0.08884, "aux.acc_seg": 75.63035, "loss": 0.25667, "time": 0.65046} +{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.17489, "decode.acc_seg": 74.49267, "aux.loss_seg": 0.09157, "aux.acc_seg": 73.10489, "loss": 0.26645, "time": 0.67666} +{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.17312, "decode.acc_seg": 75.2579, "aux.loss_seg": 0.08946, "aux.acc_seg": 73.91628, "loss": 0.26258, "time": 0.65721} +{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.16628, "decode.acc_seg": 76.80656, "aux.loss_seg": 0.08651, "aux.acc_seg": 75.47571, "loss": 0.25279, "time": 0.63901} +{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.16928, "decode.acc_seg": 75.17171, "aux.loss_seg": 0.08702, "aux.acc_seg": 73.91891, "loss": 0.2563, "time": 0.64659} +{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.16735, "decode.acc_seg": 75.37261, "aux.loss_seg": 0.08665, "aux.acc_seg": 74.14464, "loss": 0.254, "time": 0.67258} +{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.16318, "decode.acc_seg": 74.53197, "aux.loss_seg": 0.08545, "aux.acc_seg": 73.23494, "loss": 0.24863, "time": 0.67243} +{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.16988, "decode.acc_seg": 75.2026, "aux.loss_seg": 0.08832, "aux.acc_seg": 73.80415, "loss": 0.2582, "time": 0.6511} +{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.16873, "decode.acc_seg": 74.97474, "aux.loss_seg": 0.08642, "aux.acc_seg": 73.73951, "loss": 0.25515, "time": 0.66244} +{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.16582, "decode.acc_seg": 75.11924, "aux.loss_seg": 0.08815, "aux.acc_seg": 73.70455, "loss": 0.25397, "time": 0.66695} +{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.16059, "decode.acc_seg": 75.70699, "aux.loss_seg": 0.08523, "aux.acc_seg": 74.30808, "loss": 0.24581, "time": 0.66325} +{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.16861, "decode.acc_seg": 74.6349, "aux.loss_seg": 0.08992, "aux.acc_seg": 73.15398, "loss": 0.25854, "time": 0.67146} +{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.16808, "decode.acc_seg": 76.21549, "aux.loss_seg": 0.08691, "aux.acc_seg": 74.85231, "loss": 0.25499, "time": 0.66674} +{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.17941, "decode.acc_seg": 76.45955, "aux.loss_seg": 0.09186, "aux.acc_seg": 75.06994, "loss": 0.27128, "time": 0.65723} +{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.17387, "decode.acc_seg": 75.82099, "aux.loss_seg": 0.09087, "aux.acc_seg": 74.40446, "loss": 0.26474, "time": 0.67173} +{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 22752, "data_time": 0.01104, "decode.loss_seg": 0.16897, "decode.acc_seg": 76.33409, "aux.loss_seg": 0.08806, "aux.acc_seg": 74.95232, "loss": 0.25702, "time": 0.66953} +{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.16664, "decode.acc_seg": 75.01517, "aux.loss_seg": 0.08646, "aux.acc_seg": 73.69278, "loss": 0.2531, "time": 0.67513} +{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.16029, "decode.acc_seg": 73.11354, "aux.loss_seg": 0.08371, "aux.acc_seg": 71.89374, "loss": 0.244, "time": 0.66221} +{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.17472, "decode.acc_seg": 74.9232, "aux.loss_seg": 0.09061, "aux.acc_seg": 73.50711, "loss": 0.26533, "time": 0.65086} +{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 22752, "data_time": 0.00828, "decode.loss_seg": 0.17156, "decode.acc_seg": 74.44987, "aux.loss_seg": 0.08863, "aux.acc_seg": 73.17522, "loss": 0.26019, "time": 0.66919} +{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.16826, "decode.acc_seg": 74.48229, "aux.loss_seg": 0.0874, "aux.acc_seg": 73.12481, "loss": 0.25566, "time": 0.66464} +{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17584, "decode.acc_seg": 75.2506, "aux.loss_seg": 0.09093, "aux.acc_seg": 73.83459, "loss": 0.26677, "time": 0.6458} +{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 22752, "data_time": 0.23073, "decode.loss_seg": 0.1718, "decode.acc_seg": 74.87963, "aux.loss_seg": 0.09087, "aux.acc_seg": 73.45813, "loss": 0.26267, "time": 0.8659} +{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.17837, "decode.acc_seg": 74.68139, "aux.loss_seg": 0.0922, "aux.acc_seg": 73.30328, "loss": 0.27057, "time": 0.65999} +{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.16011, "decode.acc_seg": 74.9989, "aux.loss_seg": 0.08429, "aux.acc_seg": 73.70985, "loss": 0.2444, "time": 0.67177} +{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16598, "decode.acc_seg": 75.86463, "aux.loss_seg": 0.08605, "aux.acc_seg": 74.52185, "loss": 0.25203, "time": 0.66004} +{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.16644, "decode.acc_seg": 75.49504, "aux.loss_seg": 0.08643, "aux.acc_seg": 74.18052, "loss": 0.25287, "time": 0.6423} +{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.17629, "decode.acc_seg": 75.31667, "aux.loss_seg": 0.09272, "aux.acc_seg": 73.88526, "loss": 0.26902, "time": 0.66629} +{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.16016, "decode.acc_seg": 75.44776, "aux.loss_seg": 0.08405, "aux.acc_seg": 74.07918, "loss": 0.24421, "time": 0.64584} +{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.16497, "decode.acc_seg": 75.26167, "aux.loss_seg": 0.08641, "aux.acc_seg": 73.9353, "loss": 0.25138, "time": 0.64234} +{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.16345, "decode.acc_seg": 74.37162, "aux.loss_seg": 0.08527, "aux.acc_seg": 73.03799, "loss": 0.24872, "time": 0.67752} +{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.17061, "decode.acc_seg": 76.11103, "aux.loss_seg": 0.08902, "aux.acc_seg": 74.7478, "loss": 0.25964, "time": 0.67866} +{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.16036, "decode.acc_seg": 74.9216, "aux.loss_seg": 0.08341, "aux.acc_seg": 73.70147, "loss": 0.24377, "time": 0.65163} +{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.167, "decode.acc_seg": 74.93214, "aux.loss_seg": 0.08791, "aux.acc_seg": 73.48694, "loss": 0.25491, "time": 0.67096} +{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.16304, "decode.acc_seg": 74.69565, "aux.loss_seg": 0.08545, "aux.acc_seg": 73.34054, "loss": 0.24849, "time": 0.65891} +{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.16339, "decode.acc_seg": 73.71473, "aux.loss_seg": 0.08419, "aux.acc_seg": 72.48464, "loss": 0.24758, "time": 0.67751} +{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.16096, "decode.acc_seg": 75.37176, "aux.loss_seg": 0.08488, "aux.acc_seg": 74.0253, "loss": 0.24584, "time": 0.65006} +{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.17149, "decode.acc_seg": 75.11268, "aux.loss_seg": 0.09163, "aux.acc_seg": 73.62905, "loss": 0.26312, "time": 0.67887} +{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.16626, "decode.acc_seg": 75.07591, "aux.loss_seg": 0.08666, "aux.acc_seg": 73.72808, "loss": 0.25292, "time": 0.67602} +{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.17134, "decode.acc_seg": 75.2164, "aux.loss_seg": 0.08887, "aux.acc_seg": 73.91204, "loss": 0.26021, "time": 0.67149} +{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.1609, "decode.acc_seg": 74.65529, "aux.loss_seg": 0.08434, "aux.acc_seg": 73.39141, "loss": 0.24524, "time": 0.66734} +{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.16139, "decode.acc_seg": 76.18137, "aux.loss_seg": 0.08514, "aux.acc_seg": 74.79862, "loss": 0.24653, "time": 0.65481} +{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.17427, "decode.acc_seg": 76.23274, "aux.loss_seg": 0.09202, "aux.acc_seg": 74.81974, "loss": 0.2663, "time": 0.66425} +{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.16286, "decode.acc_seg": 73.54266, "aux.loss_seg": 0.08413, "aux.acc_seg": 72.33969, "loss": 0.24699, "time": 0.66693} +{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.17185, "decode.acc_seg": 75.18594, "aux.loss_seg": 0.08807, "aux.acc_seg": 73.94055, "loss": 0.25992, "time": 0.66434} +{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 22752, "data_time": 0.0079, "decode.loss_seg": 0.1674, "decode.acc_seg": 75.8874, "aux.loss_seg": 0.08825, "aux.acc_seg": 74.4978, "loss": 0.25565, "time": 0.64643} +{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.16117, "decode.acc_seg": 74.01319, "aux.loss_seg": 0.08328, "aux.acc_seg": 72.82121, "loss": 0.24445, "time": 0.67173} +{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 22752, "data_time": 0.2346, "decode.loss_seg": 0.15871, "decode.acc_seg": 76.57423, "aux.loss_seg": 0.08366, "aux.acc_seg": 75.3031, "loss": 0.24237, "time": 0.87258} +{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.16721, "decode.acc_seg": 75.50423, "aux.loss_seg": 0.08763, "aux.acc_seg": 74.12685, "loss": 0.25484, "time": 0.66} +{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.17496, "decode.acc_seg": 76.12263, "aux.loss_seg": 0.09187, "aux.acc_seg": 74.6314, "loss": 0.26683, "time": 0.66603} +{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.16521, "decode.acc_seg": 74.81857, "aux.loss_seg": 0.08651, "aux.acc_seg": 73.47241, "loss": 0.25172, "time": 0.65884} +{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.17229, "decode.acc_seg": 75.79772, "aux.loss_seg": 0.08987, "aux.acc_seg": 74.40466, "loss": 0.26216, "time": 0.67595} +{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.15303, "decode.acc_seg": 75.38254, "aux.loss_seg": 0.08059, "aux.acc_seg": 74.06489, "loss": 0.23362, "time": 0.64533} +{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15708, "decode.acc_seg": 75.26506, "aux.loss_seg": 0.08179, "aux.acc_seg": 73.99628, "loss": 0.23887, "time": 0.66475} +{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.16112, "decode.acc_seg": 75.25045, "aux.loss_seg": 0.0845, "aux.acc_seg": 74.00341, "loss": 0.24563, "time": 0.65692} +{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.16406, "decode.acc_seg": 75.92484, "aux.loss_seg": 0.08351, "aux.acc_seg": 74.77385, "loss": 0.24757, "time": 0.65817} +{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.1601, "decode.acc_seg": 76.31305, "aux.loss_seg": 0.08412, "aux.acc_seg": 74.95975, "loss": 0.24421, "time": 0.65827} +{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.16004, "decode.acc_seg": 73.92299, "aux.loss_seg": 0.0836, "aux.acc_seg": 72.5565, "loss": 0.24364, "time": 0.6761} +{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.16703, "decode.acc_seg": 74.65559, "aux.loss_seg": 0.08711, "aux.acc_seg": 73.33724, "loss": 0.25414, "time": 0.6814} +{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17643, "decode.acc_seg": 74.48264, "aux.loss_seg": 0.09009, "aux.acc_seg": 73.16248, "loss": 0.26652, "time": 0.65492} +{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.17421, "decode.acc_seg": 76.23977, "aux.loss_seg": 0.08922, "aux.acc_seg": 75.02702, "loss": 0.26342, "time": 0.67727} +{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.16293, "decode.acc_seg": 74.81483, "aux.loss_seg": 0.08634, "aux.acc_seg": 73.29647, "loss": 0.24927, "time": 0.66595} +{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.17127, "decode.acc_seg": 73.94744, "aux.loss_seg": 0.08821, "aux.acc_seg": 72.56384, "loss": 0.25948, "time": 0.66768} +{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.16991, "decode.acc_seg": 75.64582, "aux.loss_seg": 0.08979, "aux.acc_seg": 74.24113, "loss": 0.2597, "time": 0.66835} +{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.16338, "decode.acc_seg": 75.18705, "aux.loss_seg": 0.08529, "aux.acc_seg": 73.85989, "loss": 0.24867, "time": 0.67866} +{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.16152, "decode.acc_seg": 75.5399, "aux.loss_seg": 0.08482, "aux.acc_seg": 74.23905, "loss": 0.24635, "time": 0.67198} +{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.16107, "decode.acc_seg": 75.54307, "aux.loss_seg": 0.08403, "aux.acc_seg": 74.20389, "loss": 0.2451, "time": 0.67047} +{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.1697, "decode.acc_seg": 74.55267, "aux.loss_seg": 0.08806, "aux.acc_seg": 73.17276, "loss": 0.25775, "time": 0.67434} +{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15688, "decode.acc_seg": 74.3991, "aux.loss_seg": 0.08155, "aux.acc_seg": 73.18058, "loss": 0.23842, "time": 0.66103} +{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.16624, "decode.acc_seg": 75.78003, "aux.loss_seg": 0.08707, "aux.acc_seg": 74.47167, "loss": 0.25331, "time": 0.65827} +{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.16167, "decode.acc_seg": 74.85981, "aux.loss_seg": 0.08496, "aux.acc_seg": 73.56448, "loss": 0.24663, "time": 0.66055} +{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.15957, "decode.acc_seg": 74.77292, "aux.loss_seg": 0.08402, "aux.acc_seg": 73.4535, "loss": 0.24359, "time": 0.67555} +{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 22752, "data_time": 0.22819, "decode.loss_seg": 0.16281, "decode.acc_seg": 74.58665, "aux.loss_seg": 0.08655, "aux.acc_seg": 73.17425, "loss": 0.24936, "time": 0.88616} +{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15129, "decode.acc_seg": 76.23949, "aux.loss_seg": 0.08084, "aux.acc_seg": 74.953, "loss": 0.23213, "time": 0.678} +{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.16583, "decode.acc_seg": 76.0788, "aux.loss_seg": 0.08648, "aux.acc_seg": 74.72229, "loss": 0.25231, "time": 0.67324} +{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.16255, "decode.acc_seg": 75.92654, "aux.loss_seg": 0.08529, "aux.acc_seg": 74.65114, "loss": 0.24784, "time": 0.67219} +{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.16345, "decode.acc_seg": 74.3708, "aux.loss_seg": 0.0856, "aux.acc_seg": 73.03556, "loss": 0.24904, "time": 0.64554} +{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.16575, "decode.acc_seg": 73.88968, "aux.loss_seg": 0.08883, "aux.acc_seg": 72.33901, "loss": 0.25459, "time": 0.67958} +{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.15843, "decode.acc_seg": 75.78892, "aux.loss_seg": 0.08267, "aux.acc_seg": 74.49563, "loss": 0.24109, "time": 0.66229} +{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.16491, "decode.acc_seg": 74.76582, "aux.loss_seg": 0.08701, "aux.acc_seg": 73.39705, "loss": 0.25191, "time": 0.66037} +{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 22752, "data_time": 0.01056, "decode.loss_seg": 0.16242, "decode.acc_seg": 75.95458, "aux.loss_seg": 0.08588, "aux.acc_seg": 74.5918, "loss": 0.24829, "time": 0.65591} +{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.16277, "decode.acc_seg": 76.26874, "aux.loss_seg": 0.08616, "aux.acc_seg": 74.87847, "loss": 0.24893, "time": 0.67797} +{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.16888, "decode.acc_seg": 74.93021, "aux.loss_seg": 0.08807, "aux.acc_seg": 73.61274, "loss": 0.25695, "time": 0.66339} +{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.14692, "decode.acc_seg": 73.4792, "aux.loss_seg": 0.07733, "aux.acc_seg": 72.21585, "loss": 0.22425, "time": 0.66256} +{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.16752, "decode.acc_seg": 74.98287, "aux.loss_seg": 0.08713, "aux.acc_seg": 73.67019, "loss": 0.25466, "time": 0.65621} +{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.16982, "decode.acc_seg": 75.70559, "aux.loss_seg": 0.08969, "aux.acc_seg": 74.27619, "loss": 0.25951, "time": 0.66908} +{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 22752, "data_time": 0.00847, "decode.loss_seg": 0.17491, "decode.acc_seg": 75.95711, "aux.loss_seg": 0.0908, "aux.acc_seg": 74.56237, "loss": 0.26571, "time": 0.66645} +{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15928, "decode.acc_seg": 74.03096, "aux.loss_seg": 0.08301, "aux.acc_seg": 72.80212, "loss": 0.24229, "time": 0.67173} +{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.16567, "decode.acc_seg": 74.27063, "aux.loss_seg": 0.0878, "aux.acc_seg": 72.85172, "loss": 0.25346, "time": 0.66676} +{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.16117, "decode.acc_seg": 75.06473, "aux.loss_seg": 0.08559, "aux.acc_seg": 73.67739, "loss": 0.24675, "time": 0.66871} +{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.14982, "decode.acc_seg": 73.26758, "aux.loss_seg": 0.07812, "aux.acc_seg": 72.05408, "loss": 0.22794, "time": 0.66066} +{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.16821, "decode.acc_seg": 74.49984, "aux.loss_seg": 0.08759, "aux.acc_seg": 73.19265, "loss": 0.2558, "time": 0.65943} +{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.16314, "decode.acc_seg": 75.12005, "aux.loss_seg": 0.08577, "aux.acc_seg": 73.75479, "loss": 0.24891, "time": 0.65095} +{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.1588, "decode.acc_seg": 75.72009, "aux.loss_seg": 0.08407, "aux.acc_seg": 74.31888, "loss": 0.24287, "time": 0.67085} +{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.1629, "decode.acc_seg": 74.40008, "aux.loss_seg": 0.08627, "aux.acc_seg": 73.11223, "loss": 0.24917, "time": 0.64911} +{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.16616, "decode.acc_seg": 76.34614, "aux.loss_seg": 0.08723, "aux.acc_seg": 74.92857, "loss": 0.25338, "time": 0.65561} +{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 22752, "data_time": 0.00861, "decode.loss_seg": 0.16152, "decode.acc_seg": 75.33778, "aux.loss_seg": 0.08468, "aux.acc_seg": 74.04557, "loss": 0.2462, "time": 0.65194} +{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.16193, "decode.acc_seg": 75.91571, "aux.loss_seg": 0.08533, "aux.acc_seg": 74.60081, "loss": 0.24726, "time": 0.66891} +{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 22752, "data_time": 0.2331, "decode.loss_seg": 0.16415, "decode.acc_seg": 74.98278, "aux.loss_seg": 0.08434, "aux.acc_seg": 73.73604, "loss": 0.24849, "time": 0.87773} +{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.15915, "decode.acc_seg": 75.74479, "aux.loss_seg": 0.08387, "aux.acc_seg": 74.38407, "loss": 0.24302, "time": 0.68206} +{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.16398, "decode.acc_seg": 74.60768, "aux.loss_seg": 0.08478, "aux.acc_seg": 73.33212, "loss": 0.24876, "time": 0.64404} +{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.16395, "decode.acc_seg": 76.41945, "aux.loss_seg": 0.08656, "aux.acc_seg": 75.06456, "loss": 0.25051, "time": 0.65605} +{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.1544, "decode.acc_seg": 75.01721, "aux.loss_seg": 0.08127, "aux.acc_seg": 73.70098, "loss": 0.23566, "time": 0.65652} +{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.16726, "decode.acc_seg": 74.80933, "aux.loss_seg": 0.08654, "aux.acc_seg": 73.5425, "loss": 0.25379, "time": 0.67123} +{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.162, "decode.acc_seg": 75.07023, "aux.loss_seg": 0.08486, "aux.acc_seg": 73.72079, "loss": 0.24686, "time": 0.67013} +{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.15696, "decode.acc_seg": 75.5236, "aux.loss_seg": 0.08178, "aux.acc_seg": 74.26799, "loss": 0.23875, "time": 0.67255} +{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 22752, "data_time": 0.0086, "decode.loss_seg": 0.17041, "decode.acc_seg": 75.24341, "aux.loss_seg": 0.0889, "aux.acc_seg": 73.90974, "loss": 0.25931, "time": 0.66661} +{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.15763, "decode.acc_seg": 75.45515, "aux.loss_seg": 0.08227, "aux.acc_seg": 74.22634, "loss": 0.23989, "time": 0.65039} +{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 22752, "data_time": 0.01097, "decode.loss_seg": 0.15991, "decode.acc_seg": 74.89545, "aux.loss_seg": 0.08244, "aux.acc_seg": 73.69467, "loss": 0.24235, "time": 0.68153} +{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.16363, "decode.acc_seg": 74.57206, "aux.loss_seg": 0.0852, "aux.acc_seg": 73.27068, "loss": 0.24883, "time": 0.66749} +{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.89386, "aux.loss_seg": 0.08965, "aux.acc_seg": 74.4283, "loss": 0.25803, "time": 0.66095} +{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.16455, "decode.acc_seg": 73.61408, "aux.loss_seg": 0.08657, "aux.acc_seg": 72.27629, "loss": 0.25112, "time": 0.65887} +{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.15603, "decode.acc_seg": 75.63997, "aux.loss_seg": 0.08203, "aux.acc_seg": 74.2617, "loss": 0.23805, "time": 0.66959} +{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.16102, "decode.acc_seg": 75.54993, "aux.loss_seg": 0.08365, "aux.acc_seg": 74.21906, "loss": 0.24467, "time": 0.6499} +{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.16911, "decode.acc_seg": 74.40805, "aux.loss_seg": 0.08954, "aux.acc_seg": 72.95877, "loss": 0.25864, "time": 0.66738} +{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.17584, "decode.acc_seg": 74.34897, "aux.loss_seg": 0.09058, "aux.acc_seg": 73.02167, "loss": 0.26642, "time": 0.66304} +{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.15984, "decode.acc_seg": 75.19944, "aux.loss_seg": 0.08353, "aux.acc_seg": 73.88709, "loss": 0.24337, "time": 0.66653} +{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 22752, "data_time": 0.00788, "decode.loss_seg": 0.17428, "decode.acc_seg": 74.40685, "aux.loss_seg": 0.09192, "aux.acc_seg": 72.94903, "loss": 0.2662, "time": 0.65511} +{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.16162, "decode.acc_seg": 75.08842, "aux.loss_seg": 0.08476, "aux.acc_seg": 73.76741, "loss": 0.24638, "time": 0.65461} +{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.1554, "decode.acc_seg": 75.1454, "aux.loss_seg": 0.08172, "aux.acc_seg": 73.84882, "loss": 0.23713, "time": 0.65846} +{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.16643, "decode.acc_seg": 75.26641, "aux.loss_seg": 0.08689, "aux.acc_seg": 73.79843, "loss": 0.25332, "time": 0.65763} +{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.17501, "decode.acc_seg": 75.23821, "aux.loss_seg": 0.09183, "aux.acc_seg": 73.79216, "loss": 0.26684, "time": 0.66741} +{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16702, "decode.acc_seg": 74.16371, "aux.loss_seg": 0.08578, "aux.acc_seg": 72.9413, "loss": 0.2528, "time": 0.67088} +{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 22752, "data_time": 0.23208, "decode.loss_seg": 0.15944, "decode.acc_seg": 75.69585, "aux.loss_seg": 0.0842, "aux.acc_seg": 74.39843, "loss": 0.24365, "time": 0.84679} +{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.16465, "decode.acc_seg": 77.00276, "aux.loss_seg": 0.08595, "aux.acc_seg": 75.61904, "loss": 0.2506, "time": 0.64391} +{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.16245, "decode.acc_seg": 75.1608, "aux.loss_seg": 0.08599, "aux.acc_seg": 73.80496, "loss": 0.24844, "time": 0.67259} +{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15714, "decode.acc_seg": 75.24408, "aux.loss_seg": 0.08238, "aux.acc_seg": 73.97044, "loss": 0.23952, "time": 0.64764} +{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.16573, "decode.acc_seg": 75.97048, "aux.loss_seg": 0.08734, "aux.acc_seg": 74.56866, "loss": 0.25307, "time": 0.66451} +{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.15983, "decode.acc_seg": 74.668, "aux.loss_seg": 0.08425, "aux.acc_seg": 73.27673, "loss": 0.24408, "time": 0.67716} +{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.15579, "decode.acc_seg": 75.17766, "aux.loss_seg": 0.08135, "aux.acc_seg": 73.9697, "loss": 0.23714, "time": 0.66699} +{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.15414, "decode.acc_seg": 75.68048, "aux.loss_seg": 0.08048, "aux.acc_seg": 74.45092, "loss": 0.23461, "time": 0.65097} +{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.1625, "decode.acc_seg": 75.48149, "aux.loss_seg": 0.08694, "aux.acc_seg": 74.00835, "loss": 0.24943, "time": 0.64895} +{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15416, "decode.acc_seg": 75.77428, "aux.loss_seg": 0.08139, "aux.acc_seg": 74.38371, "loss": 0.23556, "time": 0.66195} +{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.16492, "decode.acc_seg": 74.52391, "aux.loss_seg": 0.08706, "aux.acc_seg": 73.15273, "loss": 0.25198, "time": 0.67045} +{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.16149, "decode.acc_seg": 74.95665, "aux.loss_seg": 0.08514, "aux.acc_seg": 73.60089, "loss": 0.24663, "time": 0.66898} +{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.16395, "decode.acc_seg": 76.0002, "aux.loss_seg": 0.08661, "aux.acc_seg": 74.64338, "loss": 0.25056, "time": 0.6762} +{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.16476, "decode.acc_seg": 75.98721, "aux.loss_seg": 0.0853, "aux.acc_seg": 74.67639, "loss": 0.25006, "time": 0.67611} +{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.16509, "decode.acc_seg": 76.74692, "aux.loss_seg": 0.08577, "aux.acc_seg": 75.35, "loss": 0.25086, "time": 0.66645} +{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.17091, "decode.acc_seg": 75.33581, "aux.loss_seg": 0.08873, "aux.acc_seg": 73.93029, "loss": 0.25963, "time": 0.66601} +{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.1638, "decode.acc_seg": 75.4746, "aux.loss_seg": 0.08602, "aux.acc_seg": 74.10707, "loss": 0.24981, "time": 0.66274} +{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.15205, "decode.acc_seg": 74.51637, "aux.loss_seg": 0.08076, "aux.acc_seg": 73.19296, "loss": 0.2328, "time": 0.64195} +{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.16082, "decode.acc_seg": 75.09644, "aux.loss_seg": 0.08504, "aux.acc_seg": 73.71333, "loss": 0.24586, "time": 0.66638} +{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.14923, "decode.acc_seg": 74.81547, "aux.loss_seg": 0.08011, "aux.acc_seg": 73.48857, "loss": 0.22933, "time": 0.65277} +{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.16549, "decode.acc_seg": 76.0829, "aux.loss_seg": 0.08473, "aux.acc_seg": 74.84964, "loss": 0.25022, "time": 0.66276} +{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 22752, "data_time": 0.01032, "decode.loss_seg": 0.17601, "decode.acc_seg": 75.76646, "aux.loss_seg": 0.09194, "aux.acc_seg": 74.3663, "loss": 0.26795, "time": 0.66815} +{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 22752, "data_time": 0.01077, "decode.loss_seg": 0.15129, "decode.acc_seg": 75.88941, "aux.loss_seg": 0.0794, "aux.acc_seg": 74.61249, "loss": 0.23068, "time": 0.67} +{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.16181, "decode.acc_seg": 75.28205, "aux.loss_seg": 0.08628, "aux.acc_seg": 73.87423, "loss": 0.2481, "time": 0.66098} +{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.16561, "decode.acc_seg": 74.98374, "aux.loss_seg": 0.08724, "aux.acc_seg": 73.51415, "loss": 0.25284, "time": 0.66138} +{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 22752, "data_time": 0.23057, "decode.loss_seg": 0.15704, "decode.acc_seg": 74.88671, "aux.loss_seg": 0.08205, "aux.acc_seg": 73.54956, "loss": 0.23909, "time": 0.86373} +{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.15588, "decode.acc_seg": 74.91365, "aux.loss_seg": 0.08191, "aux.acc_seg": 73.60504, "loss": 0.23779, "time": 0.64656} +{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.15742, "decode.acc_seg": 75.39763, "aux.loss_seg": 0.08265, "aux.acc_seg": 74.09273, "loss": 0.24007, "time": 0.653} +{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.15511, "decode.acc_seg": 74.394, "aux.loss_seg": 0.08201, "aux.acc_seg": 73.10194, "loss": 0.23713, "time": 0.65373} +{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.16499, "decode.acc_seg": 75.17336, "aux.loss_seg": 0.0857, "aux.acc_seg": 73.86914, "loss": 0.2507, "time": 0.63968} +{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.15706, "decode.acc_seg": 75.38578, "aux.loss_seg": 0.08242, "aux.acc_seg": 74.11716, "loss": 0.23948, "time": 0.66609} +{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.1566, "decode.acc_seg": 74.09639, "aux.loss_seg": 0.08111, "aux.acc_seg": 72.88048, "loss": 0.23771, "time": 0.65891} +{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.16555, "decode.acc_seg": 75.57663, "aux.loss_seg": 0.08711, "aux.acc_seg": 74.11913, "loss": 0.25266, "time": 0.67014} +{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.15643, "decode.acc_seg": 75.86324, "aux.loss_seg": 0.08185, "aux.acc_seg": 74.60662, "loss": 0.23828, "time": 0.66737} +{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.15949, "decode.acc_seg": 76.11467, "aux.loss_seg": 0.08245, "aux.acc_seg": 74.86069, "loss": 0.24194, "time": 0.65021} +{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15711, "decode.acc_seg": 74.1207, "aux.loss_seg": 0.08374, "aux.acc_seg": 72.8028, "loss": 0.24084, "time": 0.66752} +{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.16566, "decode.acc_seg": 75.69123, "aux.loss_seg": 0.08785, "aux.acc_seg": 74.22168, "loss": 0.25351, "time": 0.66268} +{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15591, "decode.acc_seg": 76.54717, "aux.loss_seg": 0.08312, "aux.acc_seg": 75.21602, "loss": 0.23903, "time": 0.64672} +{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.16689, "decode.acc_seg": 76.6134, "aux.loss_seg": 0.08742, "aux.acc_seg": 75.28268, "loss": 0.25431, "time": 0.66732} +{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.15522, "decode.acc_seg": 74.66955, "aux.loss_seg": 0.0825, "aux.acc_seg": 73.34344, "loss": 0.23772, "time": 0.6769} +{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.17046, "decode.acc_seg": 73.07103, "aux.loss_seg": 0.08914, "aux.acc_seg": 71.65954, "loss": 0.25961, "time": 0.66251} +{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.1637, "decode.acc_seg": 75.56654, "aux.loss_seg": 0.08514, "aux.acc_seg": 74.27752, "loss": 0.24884, "time": 0.65085} +{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.18062, "decode.acc_seg": 76.10478, "aux.loss_seg": 0.09374, "aux.acc_seg": 74.70998, "loss": 0.27436, "time": 0.65678} +{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.16124, "decode.acc_seg": 74.77703, "aux.loss_seg": 0.08486, "aux.acc_seg": 73.42945, "loss": 0.24611, "time": 0.65988} +{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15506, "decode.acc_seg": 74.85817, "aux.loss_seg": 0.08305, "aux.acc_seg": 73.44266, "loss": 0.23811, "time": 0.66252} +{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.15959, "decode.acc_seg": 75.55243, "aux.loss_seg": 0.08436, "aux.acc_seg": 74.19333, "loss": 0.24395, "time": 0.67249} +{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.15508, "decode.acc_seg": 75.17277, "aux.loss_seg": 0.0829, "aux.acc_seg": 73.80199, "loss": 0.23799, "time": 0.67119} +{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.16264, "decode.acc_seg": 76.51836, "aux.loss_seg": 0.08441, "aux.acc_seg": 75.27223, "loss": 0.24705, "time": 0.64936} +{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.15708, "decode.acc_seg": 76.6011, "aux.loss_seg": 0.08173, "aux.acc_seg": 75.40563, "loss": 0.23881, "time": 0.67506} +{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.15439, "decode.acc_seg": 75.19053, "aux.loss_seg": 0.08117, "aux.acc_seg": 73.94961, "loss": 0.23557, "time": 0.64465} +{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 22752, "data_time": 0.23483, "decode.loss_seg": 0.15771, "decode.acc_seg": 76.00256, "aux.loss_seg": 0.08349, "aux.acc_seg": 74.61814, "loss": 0.2412, "time": 0.89189} +{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.15349, "decode.acc_seg": 75.14825, "aux.loss_seg": 0.08264, "aux.acc_seg": 73.68783, "loss": 0.23612, "time": 0.65432} +{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.16008, "decode.acc_seg": 75.12639, "aux.loss_seg": 0.08371, "aux.acc_seg": 73.74308, "loss": 0.24379, "time": 0.64891} +{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.15875, "decode.acc_seg": 77.08764, "aux.loss_seg": 0.08318, "aux.acc_seg": 75.79603, "loss": 0.24193, "time": 0.66795} +{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.15902, "decode.acc_seg": 74.16044, "aux.loss_seg": 0.08396, "aux.acc_seg": 72.82799, "loss": 0.24297, "time": 0.66331} +{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.15664, "decode.acc_seg": 75.65242, "aux.loss_seg": 0.0818, "aux.acc_seg": 74.36009, "loss": 0.23845, "time": 0.64348} +{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 22752, "data_time": 0.01089, "decode.loss_seg": 0.15661, "decode.acc_seg": 76.20615, "aux.loss_seg": 0.08148, "aux.acc_seg": 74.99329, "loss": 0.23809, "time": 0.668} +{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 22752, "data_time": 0.01029, "decode.loss_seg": 0.15107, "decode.acc_seg": 75.18057, "aux.loss_seg": 0.0789, "aux.acc_seg": 73.94446, "loss": 0.22997, "time": 0.65065} +{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.15467, "decode.acc_seg": 73.99442, "aux.loss_seg": 0.08036, "aux.acc_seg": 72.76034, "loss": 0.23504, "time": 0.66412} +{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.15903, "decode.acc_seg": 77.3127, "aux.loss_seg": 0.08407, "aux.acc_seg": 75.95522, "loss": 0.2431, "time": 0.66828} +{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.15819, "decode.acc_seg": 75.5363, "aux.loss_seg": 0.08275, "aux.acc_seg": 74.2081, "loss": 0.24094, "time": 0.6665} +{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.16079, "decode.acc_seg": 75.73571, "aux.loss_seg": 0.08477, "aux.acc_seg": 74.39461, "loss": 0.24555, "time": 0.6774} +{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.16171, "decode.acc_seg": 76.49323, "aux.loss_seg": 0.08577, "aux.acc_seg": 75.1071, "loss": 0.24748, "time": 0.663} +{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.16334, "decode.acc_seg": 75.43165, "aux.loss_seg": 0.08561, "aux.acc_seg": 74.07379, "loss": 0.24894, "time": 0.66553} +{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.14954, "decode.acc_seg": 75.44804, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.20969, "loss": 0.22859, "time": 0.66987} +{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.15201, "decode.acc_seg": 75.66307, "aux.loss_seg": 0.07988, "aux.acc_seg": 74.32671, "loss": 0.23188, "time": 0.66717} +{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.16582, "decode.acc_seg": 74.47945, "aux.loss_seg": 0.08657, "aux.acc_seg": 73.06153, "loss": 0.25239, "time": 0.66737} +{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.16914, "decode.acc_seg": 75.54929, "aux.loss_seg": 0.08827, "aux.acc_seg": 74.12768, "loss": 0.25741, "time": 0.65619} +{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.1661, "decode.acc_seg": 75.45528, "aux.loss_seg": 0.08686, "aux.acc_seg": 74.04202, "loss": 0.25295, "time": 0.65925} +{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15863, "decode.acc_seg": 74.92308, "aux.loss_seg": 0.08282, "aux.acc_seg": 73.68536, "loss": 0.24145, "time": 0.66145} +{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.16621, "decode.acc_seg": 75.31854, "aux.loss_seg": 0.08684, "aux.acc_seg": 73.94567, "loss": 0.25305, "time": 0.67037} +{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.1543, "decode.acc_seg": 74.74504, "aux.loss_seg": 0.08162, "aux.acc_seg": 73.44582, "loss": 0.23592, "time": 0.64806} +{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.15888, "decode.acc_seg": 75.64813, "aux.loss_seg": 0.08524, "aux.acc_seg": 74.20452, "loss": 0.24412, "time": 0.66328} +{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.16209, "decode.acc_seg": 75.22489, "aux.loss_seg": 0.08476, "aux.acc_seg": 74.02429, "loss": 0.24685, "time": 0.64812} +{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.16191, "decode.acc_seg": 75.42246, "aux.loss_seg": 0.08513, "aux.acc_seg": 74.02092, "loss": 0.24704, "time": 0.64342} +{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15816, "decode.acc_seg": 74.74321, "aux.loss_seg": 0.0838, "aux.acc_seg": 73.37868, "loss": 0.24197, "time": 0.66347} +{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 22752, "data_time": 0.23224, "decode.loss_seg": 0.14977, "decode.acc_seg": 75.90597, "aux.loss_seg": 0.07998, "aux.acc_seg": 74.55644, "loss": 0.22975, "time": 0.87566} +{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.1651, "decode.acc_seg": 74.8538, "aux.loss_seg": 0.0867, "aux.acc_seg": 73.54535, "loss": 0.25179, "time": 0.66353} +{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.16143, "decode.acc_seg": 75.41945, "aux.loss_seg": 0.0858, "aux.acc_seg": 74.03624, "loss": 0.24723, "time": 0.65179} +{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.17219, "decode.acc_seg": 76.76299, "aux.loss_seg": 0.09033, "aux.acc_seg": 75.26813, "loss": 0.26252, "time": 0.66545} +{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.17035, "decode.acc_seg": 75.67478, "aux.loss_seg": 0.09036, "aux.acc_seg": 74.2037, "loss": 0.26071, "time": 0.66705} +{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.15667, "decode.acc_seg": 75.87237, "aux.loss_seg": 0.08228, "aux.acc_seg": 74.62418, "loss": 0.23895, "time": 0.67812} +{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.15954, "decode.acc_seg": 74.57761, "aux.loss_seg": 0.08422, "aux.acc_seg": 73.29414, "loss": 0.24376, "time": 0.68027} +{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.15174, "decode.acc_seg": 74.42449, "aux.loss_seg": 0.08068, "aux.acc_seg": 73.12044, "loss": 0.23242, "time": 0.67488} +{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.16724, "decode.acc_seg": 76.10499, "aux.loss_seg": 0.08703, "aux.acc_seg": 74.77931, "loss": 0.25428, "time": 0.66026} +{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.15741, "decode.acc_seg": 75.9433, "aux.loss_seg": 0.08384, "aux.acc_seg": 74.54169, "loss": 0.24124, "time": 0.6508} +{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 22752, "data_time": 0.01013, "decode.loss_seg": 0.15092, "decode.acc_seg": 74.72074, "aux.loss_seg": 0.08054, "aux.acc_seg": 73.3813, "loss": 0.23146, "time": 0.6589} +{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.15477, "decode.acc_seg": 75.57346, "aux.loss_seg": 0.08313, "aux.acc_seg": 74.22815, "loss": 0.2379, "time": 0.65606} +{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.16104, "decode.acc_seg": 74.53714, "aux.loss_seg": 0.08222, "aux.acc_seg": 73.37886, "loss": 0.24326, "time": 0.65052} +{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.1622, "decode.acc_seg": 75.26081, "aux.loss_seg": 0.08614, "aux.acc_seg": 73.87222, "loss": 0.24834, "time": 0.66882} +{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 22752, "data_time": 0.01105, "decode.loss_seg": 0.15338, "decode.acc_seg": 75.78774, "aux.loss_seg": 0.08236, "aux.acc_seg": 74.39835, "loss": 0.23575, "time": 0.66479} +{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 22752, "data_time": 0.01185, "decode.loss_seg": 0.15719, "decode.acc_seg": 76.17192, "aux.loss_seg": 0.08329, "aux.acc_seg": 74.80269, "loss": 0.24048, "time": 0.65584} +{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 22752, "data_time": 0.01153, "decode.loss_seg": 0.16253, "decode.acc_seg": 75.48856, "aux.loss_seg": 0.08675, "aux.acc_seg": 74.05929, "loss": 0.24929, "time": 0.66102} +{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 22752, "data_time": 0.01198, "decode.loss_seg": 0.15613, "decode.acc_seg": 75.89752, "aux.loss_seg": 0.08286, "aux.acc_seg": 74.49323, "loss": 0.23899, "time": 0.6686} +{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 22752, "data_time": 0.01157, "decode.loss_seg": 0.16054, "decode.acc_seg": 75.69051, "aux.loss_seg": 0.08288, "aux.acc_seg": 74.4092, "loss": 0.24342, "time": 0.67441} +{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 22752, "data_time": 0.01131, "decode.loss_seg": 0.16195, "decode.acc_seg": 75.70814, "aux.loss_seg": 0.08633, "aux.acc_seg": 74.31222, "loss": 0.24828, "time": 0.68125} +{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.16179, "decode.acc_seg": 76.02785, "aux.loss_seg": 0.08481, "aux.acc_seg": 74.71406, "loss": 0.2466, "time": 0.66731} +{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 22752, "data_time": 0.01279, "decode.loss_seg": 0.15972, "decode.acc_seg": 74.79038, "aux.loss_seg": 0.08366, "aux.acc_seg": 73.4488, "loss": 0.24338, "time": 0.64663} +{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 22752, "data_time": 0.0118, "decode.loss_seg": 0.15448, "decode.acc_seg": 75.40183, "aux.loss_seg": 0.08111, "aux.acc_seg": 74.10822, "loss": 0.23559, "time": 0.65074} +{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 22752, "data_time": 0.012, "decode.loss_seg": 0.15556, "decode.acc_seg": 75.43645, "aux.loss_seg": 0.08167, "aux.acc_seg": 74.17599, "loss": 0.23723, "time": 0.66562} +{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 22752, "data_time": 0.01048, "decode.loss_seg": 0.15534, "decode.acc_seg": 75.78723, "aux.loss_seg": 0.08218, "aux.acc_seg": 74.49215, "loss": 0.23753, "time": 0.66375} +{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 22752, "data_time": 0.22926, "decode.loss_seg": 0.17422, "decode.acc_seg": 75.98423, "aux.loss_seg": 0.08984, "aux.acc_seg": 74.685, "loss": 0.26406, "time": 0.84511} +{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.15488, "decode.acc_seg": 74.34987, "aux.loss_seg": 0.08322, "aux.acc_seg": 72.88624, "loss": 0.2381, "time": 0.67065} +{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15288, "decode.acc_seg": 75.73509, "aux.loss_seg": 0.08061, "aux.acc_seg": 74.41548, "loss": 0.23349, "time": 0.66919} +{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.15746, "decode.acc_seg": 74.50966, "aux.loss_seg": 0.08256, "aux.acc_seg": 73.28858, "loss": 0.24003, "time": 0.6629} +{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.16405, "decode.acc_seg": 75.3627, "aux.loss_seg": 0.08679, "aux.acc_seg": 73.9939, "loss": 0.25084, "time": 0.63581} +{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.16536, "decode.acc_seg": 76.41635, "aux.loss_seg": 0.08752, "aux.acc_seg": 75.01783, "loss": 0.25288, "time": 0.65522} +{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.15416, "decode.acc_seg": 75.55541, "aux.loss_seg": 0.08132, "aux.acc_seg": 74.24333, "loss": 0.23548, "time": 0.6668} +{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.16156, "decode.acc_seg": 74.05608, "aux.loss_seg": 0.0862, "aux.acc_seg": 72.60525, "loss": 0.24776, "time": 0.63686} +{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.15655, "decode.acc_seg": 74.36469, "aux.loss_seg": 0.08288, "aux.acc_seg": 73.06554, "loss": 0.23943, "time": 0.64586} +{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.15938, "decode.acc_seg": 75.80808, "aux.loss_seg": 0.08475, "aux.acc_seg": 74.41588, "loss": 0.24412, "time": 0.66476} +{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.15692, "decode.acc_seg": 75.95442, "aux.loss_seg": 0.08235, "aux.acc_seg": 74.62426, "loss": 0.23927, "time": 0.64681} +{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.14774, "decode.acc_seg": 73.80966, "aux.loss_seg": 0.07793, "aux.acc_seg": 72.57408, "loss": 0.22567, "time": 0.65668} +{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 22752, "data_time": 0.00781, "decode.loss_seg": 0.15177, "decode.acc_seg": 75.22841, "aux.loss_seg": 0.08003, "aux.acc_seg": 73.90739, "loss": 0.2318, "time": 0.65538} +{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.15585, "decode.acc_seg": 75.49282, "aux.loss_seg": 0.08254, "aux.acc_seg": 74.15089, "loss": 0.23839, "time": 0.66854} +{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.16627, "decode.acc_seg": 75.72986, "aux.loss_seg": 0.08773, "aux.acc_seg": 74.27635, "loss": 0.254, "time": 0.66517} +{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.15326, "decode.acc_seg": 75.26408, "aux.loss_seg": 0.08048, "aux.acc_seg": 73.95232, "loss": 0.23374, "time": 0.65372} +{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.14816, "decode.acc_seg": 74.39928, "aux.loss_seg": 0.07896, "aux.acc_seg": 73.05832, "loss": 0.22712, "time": 0.67814} +{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 22752, "data_time": 0.00779, "decode.loss_seg": 0.16081, "decode.acc_seg": 75.94854, "aux.loss_seg": 0.08498, "aux.acc_seg": 74.53794, "loss": 0.24579, "time": 0.65633} +{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.16274, "decode.acc_seg": 75.57697, "aux.loss_seg": 0.08533, "aux.acc_seg": 74.18422, "loss": 0.24807, "time": 0.66446} +{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.16172, "decode.acc_seg": 76.31344, "aux.loss_seg": 0.085, "aux.acc_seg": 75.07771, "loss": 0.24673, "time": 0.66049} +{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.15259, "decode.acc_seg": 73.24898, "aux.loss_seg": 0.08089, "aux.acc_seg": 71.91527, "loss": 0.23349, "time": 0.64955} +{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 22752, "data_time": 0.00792, "decode.loss_seg": 0.15211, "decode.acc_seg": 75.3772, "aux.loss_seg": 0.08107, "aux.acc_seg": 74.06062, "loss": 0.23317, "time": 0.65267} +{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.15567, "decode.acc_seg": 75.26407, "aux.loss_seg": 0.08333, "aux.acc_seg": 73.84256, "loss": 0.239, "time": 0.66063} +{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 22752, "data_time": 0.00792, "decode.loss_seg": 0.15926, "decode.acc_seg": 74.38006, "aux.loss_seg": 0.08192, "aux.acc_seg": 73.15854, "loss": 0.24118, "time": 0.67026} +{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.15711, "decode.acc_seg": 76.90505, "aux.loss_seg": 0.0833, "aux.acc_seg": 75.53894, "loss": 0.24041, "time": 0.65463} +{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 22752, "data_time": 0.22785, "decode.loss_seg": 0.15531, "decode.acc_seg": 75.62109, "aux.loss_seg": 0.08188, "aux.acc_seg": 74.28621, "loss": 0.2372, "time": 0.86005} +{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.15311, "decode.acc_seg": 75.14906, "aux.loss_seg": 0.08131, "aux.acc_seg": 73.82404, "loss": 0.23442, "time": 0.65087} +{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.15792, "decode.acc_seg": 75.89173, "aux.loss_seg": 0.08287, "aux.acc_seg": 74.65673, "loss": 0.24079, "time": 0.68019} +{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.15799, "decode.acc_seg": 75.92674, "aux.loss_seg": 0.08281, "aux.acc_seg": 74.6577, "loss": 0.2408, "time": 0.6785} +{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.14966, "decode.acc_seg": 75.0441, "aux.loss_seg": 0.07908, "aux.acc_seg": 73.70762, "loss": 0.22874, "time": 0.64753} +{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.15164, "decode.acc_seg": 74.12543, "aux.loss_seg": 0.0806, "aux.acc_seg": 72.79078, "loss": 0.23224, "time": 0.65648} +{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15843, "decode.acc_seg": 74.89904, "aux.loss_seg": 0.08134, "aux.acc_seg": 73.74431, "loss": 0.23977, "time": 0.65045} +{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.15279, "decode.acc_seg": 75.02268, "aux.loss_seg": 0.08088, "aux.acc_seg": 73.68099, "loss": 0.23367, "time": 0.65318} +{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.15331, "decode.acc_seg": 75.024, "aux.loss_seg": 0.08095, "aux.acc_seg": 73.75949, "loss": 0.23427, "time": 0.64686} +{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.15105, "decode.acc_seg": 74.6395, "aux.loss_seg": 0.07976, "aux.acc_seg": 73.40531, "loss": 0.23081, "time": 0.6721} +{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.15829, "decode.acc_seg": 74.30883, "aux.loss_seg": 0.08417, "aux.acc_seg": 72.89209, "loss": 0.24245, "time": 0.65923} +{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.15806, "decode.acc_seg": 75.85511, "aux.loss_seg": 0.08414, "aux.acc_seg": 74.43638, "loss": 0.2422, "time": 0.67304} +{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.15252, "decode.acc_seg": 75.26709, "aux.loss_seg": 0.08073, "aux.acc_seg": 73.97222, "loss": 0.23325, "time": 0.67297} +{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.161, "decode.acc_seg": 76.83533, "aux.loss_seg": 0.08503, "aux.acc_seg": 75.49834, "loss": 0.24603, "time": 0.64906} +{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.15083, "decode.acc_seg": 75.32973, "aux.loss_seg": 0.0793, "aux.acc_seg": 74.07725, "loss": 0.23013, "time": 0.6626} +{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14852, "decode.acc_seg": 76.5615, "aux.loss_seg": 0.07998, "aux.acc_seg": 75.19021, "loss": 0.2285, "time": 0.64283} +{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.15718, "decode.acc_seg": 75.63454, "aux.loss_seg": 0.08274, "aux.acc_seg": 74.25808, "loss": 0.23992, "time": 0.66051} +{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.1552, "decode.acc_seg": 75.20761, "aux.loss_seg": 0.08183, "aux.acc_seg": 73.84979, "loss": 0.23703, "time": 0.66652} +{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15817, "decode.acc_seg": 75.27198, "aux.loss_seg": 0.08369, "aux.acc_seg": 73.94527, "loss": 0.24186, "time": 0.66141} +{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.15504, "decode.acc_seg": 76.21379, "aux.loss_seg": 0.08209, "aux.acc_seg": 74.86469, "loss": 0.23713, "time": 0.6557} +{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.15865, "decode.acc_seg": 75.719, "aux.loss_seg": 0.08658, "aux.acc_seg": 74.14714, "loss": 0.24522, "time": 0.6674} +{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.16719, "decode.acc_seg": 74.24681, "aux.loss_seg": 0.08738, "aux.acc_seg": 73.00213, "loss": 0.25457, "time": 0.66747} +{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.16372, "decode.acc_seg": 74.72845, "aux.loss_seg": 0.08652, "aux.acc_seg": 73.28819, "loss": 0.25024, "time": 0.66335} +{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.16184, "decode.acc_seg": 75.79624, "aux.loss_seg": 0.08606, "aux.acc_seg": 74.39551, "loss": 0.2479, "time": 0.65332} +{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.16069, "decode.acc_seg": 75.5013, "aux.loss_seg": 0.08536, "aux.acc_seg": 74.05979, "loss": 0.24605, "time": 0.64353} +{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.16918, "decode.acc_seg": 75.57476, "aux.loss_seg": 0.08916, "aux.acc_seg": 74.17949, "loss": 0.25834, "time": 0.66849} +{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 22752, "data_time": 0.23225, "decode.loss_seg": 0.15843, "decode.acc_seg": 76.2943, "aux.loss_seg": 0.08493, "aux.acc_seg": 74.83063, "loss": 0.24336, "time": 0.88461} +{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.15885, "decode.acc_seg": 75.59953, "aux.loss_seg": 0.08308, "aux.acc_seg": 74.28619, "loss": 0.24193, "time": 0.66884} +{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.15283, "decode.acc_seg": 73.97175, "aux.loss_seg": 0.08105, "aux.acc_seg": 72.64346, "loss": 0.23388, "time": 0.64318} +{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.15787, "decode.acc_seg": 75.76938, "aux.loss_seg": 0.0837, "aux.acc_seg": 74.40249, "loss": 0.24157, "time": 0.65487} +{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15575, "decode.acc_seg": 76.3532, "aux.loss_seg": 0.0832, "aux.acc_seg": 74.91941, "loss": 0.23895, "time": 0.66961} +{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.15846, "decode.acc_seg": 74.6246, "aux.loss_seg": 0.0837, "aux.acc_seg": 73.21175, "loss": 0.24216, "time": 0.67477} +{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.16489, "decode.acc_seg": 76.20749, "aux.loss_seg": 0.08666, "aux.acc_seg": 74.7866, "loss": 0.25155, "time": 0.67052} +{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15816, "decode.acc_seg": 75.88412, "aux.loss_seg": 0.08281, "aux.acc_seg": 74.58334, "loss": 0.24097, "time": 0.66508} +{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.1558, "decode.acc_seg": 76.52758, "aux.loss_seg": 0.08275, "aux.acc_seg": 75.10972, "loss": 0.23854, "time": 0.66726} +{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.1528, "decode.acc_seg": 75.20876, "aux.loss_seg": 0.08143, "aux.acc_seg": 73.84385, "loss": 0.23423, "time": 0.65906} +{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.15529, "decode.acc_seg": 74.96867, "aux.loss_seg": 0.08105, "aux.acc_seg": 73.75481, "loss": 0.23634, "time": 0.64811} +{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.15034, "decode.acc_seg": 74.27377, "aux.loss_seg": 0.07999, "aux.acc_seg": 72.92821, "loss": 0.23033, "time": 0.63817} +{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.15867, "decode.acc_seg": 74.98382, "aux.loss_seg": 0.08276, "aux.acc_seg": 73.703, "loss": 0.24143, "time": 0.66818} +{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.16431, "decode.acc_seg": 75.85533, "aux.loss_seg": 0.08606, "aux.acc_seg": 74.4521, "loss": 0.25037, "time": 0.66108} +{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.15728, "decode.acc_seg": 75.43454, "aux.loss_seg": 0.08246, "aux.acc_seg": 74.03484, "loss": 0.23974, "time": 0.6744} +{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.14949, "decode.acc_seg": 75.06359, "aux.loss_seg": 0.07912, "aux.acc_seg": 73.72273, "loss": 0.22861, "time": 0.66164} +{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.15701, "decode.acc_seg": 75.87847, "aux.loss_seg": 0.08309, "aux.acc_seg": 74.51319, "loss": 0.2401, "time": 0.65712} +{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.16057, "decode.acc_seg": 75.85508, "aux.loss_seg": 0.08437, "aux.acc_seg": 74.51363, "loss": 0.24495, "time": 0.65238} +{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.15821, "decode.acc_seg": 74.69854, "aux.loss_seg": 0.08289, "aux.acc_seg": 73.34365, "loss": 0.2411, "time": 0.65662} +{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.15316, "decode.acc_seg": 76.23675, "aux.loss_seg": 0.08112, "aux.acc_seg": 74.88225, "loss": 0.23428, "time": 0.65904} +{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.15917, "decode.acc_seg": 75.15714, "aux.loss_seg": 0.084, "aux.acc_seg": 73.81675, "loss": 0.24318, "time": 0.65316} +{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.16219, "decode.acc_seg": 77.23573, "aux.loss_seg": 0.08721, "aux.acc_seg": 75.7038, "loss": 0.2494, "time": 0.66262} +{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.15848, "decode.acc_seg": 76.38665, "aux.loss_seg": 0.0829, "aux.acc_seg": 75.08418, "loss": 0.24138, "time": 0.66702} +{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.16577, "decode.acc_seg": 74.52507, "aux.loss_seg": 0.0864, "aux.acc_seg": 73.15246, "loss": 0.25216, "time": 0.66378} +{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.14857, "decode.acc_seg": 75.15096, "aux.loss_seg": 0.07936, "aux.acc_seg": 73.79661, "loss": 0.22792, "time": 0.66344} +{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 22752, "data_time": 0.23183, "decode.loss_seg": 0.15694, "decode.acc_seg": 75.62423, "aux.loss_seg": 0.08352, "aux.acc_seg": 74.19704, "loss": 0.24046, "time": 0.8892} +{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.16075, "decode.acc_seg": 76.15076, "aux.loss_seg": 0.08408, "aux.acc_seg": 74.84413, "loss": 0.24484, "time": 0.65074} +{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.1541, "decode.acc_seg": 74.85439, "aux.loss_seg": 0.08016, "aux.acc_seg": 73.57304, "loss": 0.23426, "time": 0.66694} +{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.15622, "decode.acc_seg": 76.82958, "aux.loss_seg": 0.08179, "aux.acc_seg": 75.51087, "loss": 0.23801, "time": 0.64968} +{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.14928, "decode.acc_seg": 74.81689, "aux.loss_seg": 0.08027, "aux.acc_seg": 73.4534, "loss": 0.22955, "time": 0.65847} +{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.16151, "decode.acc_seg": 75.83339, "aux.loss_seg": 0.08662, "aux.acc_seg": 74.31069, "loss": 0.24813, "time": 0.62764} +{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.15291, "decode.acc_seg": 74.76235, "aux.loss_seg": 0.08108, "aux.acc_seg": 73.44883, "loss": 0.23398, "time": 0.65492} +{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.164, "decode.acc_seg": 76.29047, "aux.loss_seg": 0.0859, "aux.acc_seg": 74.97673, "loss": 0.2499, "time": 0.66606} +{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4775, "mAcc": 0.6023, "aAcc": 0.8226, "IoU.wall": 0.7643, "IoU.building": 0.8125, "IoU.sky": 0.9378, "IoU.floor": 0.8129, "IoU.tree": 0.7344, "IoU.ceiling": 0.8274, "IoU.road": 0.8164, "IoU.bed ": 0.8592, "IoU.windowpane": 0.6045, "IoU.grass": 0.691, "IoU.cabinet": 0.5798, "IoU.sidewalk": 0.6277, "IoU.person": 0.7802, "IoU.earth": 0.3564, "IoU.door": 0.4501, "IoU.table": 0.5904, "IoU.mountain": 0.5985, "IoU.plant": 0.493, "IoU.curtain": 0.7033, "IoU.chair": 0.5536, "IoU.car": 0.8253, "IoU.water": 0.5422, "IoU.painting": 0.7243, "IoU.sofa": 0.5999, "IoU.shelf": 0.4373, "IoU.house": 0.4022, "IoU.sea": 0.5567, "IoU.mirror": 0.6596, "IoU.rug": 0.6641, "IoU.field": 0.3036, "IoU.armchair": 0.3947, "IoU.seat": 0.6099, "IoU.fence": 0.4121, "IoU.desk": 0.4846, "IoU.rock": 0.4822, "IoU.wardrobe": 0.5303, "IoU.lamp": 0.6001, "IoU.bathtub": 0.7443, "IoU.railing": 0.3328, "IoU.cushion": 0.5272, "IoU.base": 0.2825, "IoU.box": 0.2586, "IoU.column": 0.4552, "IoU.signboard": 0.3544, "IoU.chest of drawers": 0.3064, "IoU.counter": 0.2211, "IoU.sand": 0.3982, "IoU.sink": 0.7045, "IoU.skyscraper": 0.5076, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7938, "IoU.grandstand": 0.4369, "IoU.path": 0.2305, "IoU.stairs": 0.3086, "IoU.runway": 0.6968, "IoU.case": 0.3766, "IoU.pool table": 0.9011, "IoU.pillow": 0.5474, "IoU.screen door": 0.6699, "IoU.stairway": 0.3036, "IoU.river": 0.1117, "IoU.bridge": 0.6751, "IoU.bookcase": 0.4052, "IoU.blind": NaN, "IoU.coffee table": 0.5402, "IoU.toilet": 0.84, "IoU.flower": 0.4183, "IoU.book": 0.4477, "IoU.hill": 0.1133, "IoU.bench": 0.4183, "IoU.countertop": 0.4944, "IoU.stove": 0.6966, "IoU.palm": 0.5122, "IoU.kitchen island": 0.4115, "IoU.computer": 0.6409, "IoU.swivel chair": 0.4499, "IoU.boat": 0.4194, "IoU.bar": 0.4507, "IoU.arcade machine": 0.5275, "IoU.hovel": 0.2014, "IoU.bus": 0.8329, "IoU.towel": 0.6864, "IoU.light": 0.5376, "IoU.truck": 0.182, "IoU.tower": 0.1799, "IoU.chandelier": 0.6604, "IoU.awning": 0.2747, "IoU.streetlight": 0.218, "IoU.booth": 0.5626, "IoU.television receiver": NaN, "IoU.airplane": 0.5831, "IoU.dirt track": 0.1027, "IoU.apparel": 0.3239, "IoU.pole": 0.1422, "IoU.land": 0.0411, "IoU.bannister": 0.0979, "IoU.escalator": 0.2454, "IoU.ottoman": 0.3659, "IoU.bottle": NaN, "IoU.buffet": 0.4858, "IoU.poster": 0.2724, "IoU.stage": 0.2129, "IoU.van": 0.3832, "IoU.ship": 0.5958, "IoU.fountain": 0.3243, "IoU.conveyer belt": 0.8096, "IoU.canopy": 0.1756, "IoU.washer": 0.7159, "IoU.plaything": 0.2032, "IoU.swimming pool": 0.5905, "IoU.stool": 0.3884, "IoU.barrel": 0.6642, "IoU.basket": 0.3359, "IoU.waterfall": 0.5835, "IoU.tent": 0.9297, "IoU.bag": 0.1036, "IoU.minibike": 0.7475, "IoU.cradle": NaN, "IoU.oven": 0.4946, "IoU.ball": 0.3777, "IoU.food": 0.4231, "IoU.step": 0.0409, "IoU.tank": 0.5337, "IoU.trade name": 0.2969, "IoU.microwave": 0.7846, "IoU.pot": 0.5169, "IoU.animal": NaN, "IoU.bicycle": 0.5127, "IoU.lake": 0.5575, "IoU.dishwasher": 0.5138, "IoU.screen": 0.6615, "IoU.blanket": 0.1248, "IoU.sculpture": 0.6539, "IoU.hood": 0.6074, "IoU.sconce": 0.4617, "IoU.vase": 0.3565, "IoU.traffic light": 0.2929, "IoU.tray": 0.0921, "IoU.ashcan": 0.3968, "IoU.fan": 0.588, "IoU.pier": 0.3627, "IoU.crt screen": 0.043, "IoU.plate": 0.5345, "IoU.monitor": 0.2033, "IoU.bulletin board": 0.3743, "IoU.shower": 0.0532, "IoU.radiator": 0.5866, "IoU.glass": 0.1365, "IoU.clock": 0.3143, "IoU.flag": 0.3487, "Acc.wall": 0.8786, "Acc.building": 0.9198, "Acc.sky": 0.9693, "Acc.floor": 0.902, "Acc.tree": 0.8734, "Acc.ceiling": 0.9372, "Acc.road": 0.8784, "Acc.bed ": 0.9464, "Acc.windowpane": 0.7797, "Acc.grass": 0.8776, "Acc.cabinet": 0.6976, "Acc.sidewalk": 0.8316, "Acc.person": 0.9125, "Acc.earth": 0.4494, "Acc.door": 0.5534, "Acc.table": 0.7411, "Acc.mountain": 0.7349, "Acc.plant": 0.5918, "Acc.curtain": 0.8178, "Acc.chair": 0.6765, "Acc.car": 0.9092, "Acc.water": 0.6993, "Acc.painting": 0.8578, "Acc.sofa": 0.7802, "Acc.shelf": 0.5935, "Acc.house": 0.5559, "Acc.sea": 0.7558, "Acc.mirror": 0.7359, "Acc.rug": 0.7341, "Acc.field": 0.4358, "Acc.armchair": 0.596, "Acc.seat": 0.805, "Acc.fence": 0.5089, "Acc.desk": 0.6742, "Acc.rock": 0.7999, "Acc.wardrobe": 0.7371, "Acc.lamp": 0.7428, "Acc.bathtub": 0.8256, "Acc.railing": 0.4717, "Acc.cushion": 0.6925, "Acc.base": 0.4022, "Acc.box": 0.3251, "Acc.column": 0.5882, "Acc.signboard": 0.4797, "Acc.chest of drawers": 0.5677, "Acc.counter": 0.2682, "Acc.sand": 0.6464, "Acc.sink": 0.7988, "Acc.skyscraper": 0.6488, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8903, "Acc.grandstand": 0.7514, "Acc.path": 0.3249, "Acc.stairs": 0.4133, "Acc.runway": 0.9166, "Acc.case": 0.4461, "Acc.pool table": 0.9579, "Acc.pillow": 0.6308, "Acc.screen door": 0.7838, "Acc.stairway": 0.3671, "Acc.river": 0.2089, "Acc.bridge": 0.7753, "Acc.bookcase": 0.5042, "Acc.blind": NaN, "Acc.coffee table": 0.8092, "Acc.toilet": 0.8973, "Acc.flower": 0.6199, "Acc.book": 0.655, "Acc.hill": 0.1789, "Acc.bench": 0.4803, "Acc.countertop": 0.6356, "Acc.stove": 0.7822, "Acc.palm": 0.7942, "Acc.kitchen island": 0.835, "Acc.computer": 0.7569, "Acc.swivel chair": 0.6449, "Acc.boat": 0.5077, "Acc.bar": 0.6321, "Acc.arcade machine": 0.5617, "Acc.hovel": 0.2147, "Acc.bus": 0.9559, "Acc.towel": 0.8027, "Acc.light": 0.6218, "Acc.truck": 0.2375, "Acc.tower": 0.299, "Acc.chandelier": 0.8149, "Acc.awning": 0.3549, "Acc.streetlight": 0.304, "Acc.booth": 0.7191, "Acc.television receiver": NaN, "Acc.airplane": 0.6733, "Acc.dirt track": 0.4949, "Acc.apparel": 0.4415, "Acc.pole": 0.186, "Acc.land": 0.0499, "Acc.bannister": 0.1203, "Acc.escalator": 0.289, "Acc.ottoman": 0.5158, "Acc.bottle": NaN, "Acc.buffet": 0.5857, "Acc.poster": 0.3461, "Acc.stage": 0.2965, "Acc.van": 0.5408, "Acc.ship": 0.9374, "Acc.fountain": 0.3285, "Acc.conveyer belt": 0.9224, "Acc.canopy": 0.2683, "Acc.washer": 0.7535, "Acc.plaything": 0.3212, "Acc.swimming pool": 0.8793, "Acc.stool": 0.5524, "Acc.barrel": 0.886, "Acc.basket": 0.442, "Acc.waterfall": 0.7891, "Acc.tent": 0.9738, "Acc.bag": 0.1219, "Acc.minibike": 0.8853, "Acc.cradle": NaN, "Acc.oven": 0.6917, "Acc.ball": 0.4495, "Acc.food": 0.5078, "Acc.step": 0.0463, "Acc.tank": 0.6567, "Acc.trade name": 0.3459, "Acc.microwave": 0.9027, "Acc.pot": 0.5767, "Acc.animal": NaN, "Acc.bicycle": 0.7158, "Acc.lake": 0.6557, "Acc.dishwasher": 0.6958, "Acc.screen": 0.8485, "Acc.blanket": 0.1439, "Acc.sculpture": 0.7595, "Acc.hood": 0.6951, "Acc.sconce": 0.5659, "Acc.vase": 0.4813, "Acc.traffic light": 0.4424, "Acc.tray": 0.2739, "Acc.ashcan": 0.5266, "Acc.fan": 0.7236, "Acc.pier": 0.509, "Acc.crt screen": 0.1349, "Acc.plate": 0.6919, "Acc.monitor": 0.2526, "Acc.bulletin board": 0.4395, "Acc.shower": 0.0612, "Acc.radiator": 0.7233, "Acc.glass": 0.148, "Acc.clock": 0.3772, "Acc.flag": 0.3934} +{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 22752, "data_time": 1.62729, "decode.loss_seg": 0.14681, "decode.acc_seg": 77.18655, "aux.loss_seg": 0.07738, "aux.acc_seg": 75.80697, "loss": 0.22419, "time": 2.27862} +{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.15945, "decode.acc_seg": 75.79678, "aux.loss_seg": 0.08472, "aux.acc_seg": 74.40705, "loss": 0.24417, "time": 0.67163} +{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.14242, "decode.acc_seg": 75.02783, "aux.loss_seg": 0.07604, "aux.acc_seg": 73.71625, "loss": 0.21847, "time": 0.66969} +{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.16264, "decode.acc_seg": 77.56542, "aux.loss_seg": 0.0851, "aux.acc_seg": 76.15898, "loss": 0.24775, "time": 0.66664} +{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.15757, "decode.acc_seg": 74.75122, "aux.loss_seg": 0.08285, "aux.acc_seg": 73.4143, "loss": 0.24042, "time": 0.6727} +{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15711, "decode.acc_seg": 75.90717, "aux.loss_seg": 0.08308, "aux.acc_seg": 74.5173, "loss": 0.24019, "time": 0.6755} +{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.14897, "decode.acc_seg": 75.83514, "aux.loss_seg": 0.07915, "aux.acc_seg": 74.51389, "loss": 0.22811, "time": 0.67895} +{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.14959, "decode.acc_seg": 76.36585, "aux.loss_seg": 0.07969, "aux.acc_seg": 75.00569, "loss": 0.22928, "time": 0.66491} +{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.1507, "decode.acc_seg": 74.56184, "aux.loss_seg": 0.0803, "aux.acc_seg": 73.19232, "loss": 0.231, "time": 0.66198} +{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.15784, "decode.acc_seg": 74.92783, "aux.loss_seg": 0.08342, "aux.acc_seg": 73.58756, "loss": 0.24126, "time": 0.67638} +{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.14383, "decode.acc_seg": 74.6476, "aux.loss_seg": 0.07627, "aux.acc_seg": 73.38106, "loss": 0.2201, "time": 0.65424} +{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.16474, "decode.acc_seg": 76.63059, "aux.loss_seg": 0.08693, "aux.acc_seg": 75.24332, "loss": 0.25166, "time": 0.6683} +{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.16139, "decode.acc_seg": 75.7456, "aux.loss_seg": 0.08478, "aux.acc_seg": 74.30476, "loss": 0.24617, "time": 0.65161} +{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.1575, "decode.acc_seg": 76.95144, "aux.loss_seg": 0.084, "aux.acc_seg": 75.50136, "loss": 0.2415, "time": 0.65716} +{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.15505, "decode.acc_seg": 75.45365, "aux.loss_seg": 0.0824, "aux.acc_seg": 74.1228, "loss": 0.23745, "time": 0.68283} +{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.15277, "decode.acc_seg": 75.21519, "aux.loss_seg": 0.08288, "aux.acc_seg": 73.74484, "loss": 0.23565, "time": 0.67206} +{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 22752, "data_time": 0.23484, "decode.loss_seg": 0.15912, "decode.acc_seg": 74.1632, "aux.loss_seg": 0.08432, "aux.acc_seg": 72.67437, "loss": 0.24344, "time": 0.87455} +{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14607, "decode.acc_seg": 75.18385, "aux.loss_seg": 0.07643, "aux.acc_seg": 73.95362, "loss": 0.2225, "time": 0.65934} +{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.15609, "decode.acc_seg": 74.68012, "aux.loss_seg": 0.08478, "aux.acc_seg": 73.19242, "loss": 0.24086, "time": 0.67054} +{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.1501, "decode.acc_seg": 74.98876, "aux.loss_seg": 0.07992, "aux.acc_seg": 73.68676, "loss": 0.23002, "time": 0.6448} +{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.15477, "decode.acc_seg": 75.43121, "aux.loss_seg": 0.08259, "aux.acc_seg": 74.05517, "loss": 0.23735, "time": 0.65124} +{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.1563, "decode.acc_seg": 75.82518, "aux.loss_seg": 0.08419, "aux.acc_seg": 74.33418, "loss": 0.24049, "time": 0.66462} +{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15608, "decode.acc_seg": 76.04154, "aux.loss_seg": 0.08129, "aux.acc_seg": 74.76758, "loss": 0.23737, "time": 0.67312} +{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.14981, "decode.acc_seg": 76.31146, "aux.loss_seg": 0.07998, "aux.acc_seg": 75.02025, "loss": 0.22979, "time": 0.67448} +{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.15802, "decode.acc_seg": 77.0466, "aux.loss_seg": 0.08403, "aux.acc_seg": 75.6559, "loss": 0.24204, "time": 0.64577} +{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.15088, "decode.acc_seg": 76.0034, "aux.loss_seg": 0.0801, "aux.acc_seg": 74.68308, "loss": 0.23097, "time": 0.682} +{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15181, "decode.acc_seg": 75.17033, "aux.loss_seg": 0.07964, "aux.acc_seg": 73.93492, "loss": 0.23146, "time": 0.66832} +{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.15065, "decode.acc_seg": 75.98053, "aux.loss_seg": 0.08105, "aux.acc_seg": 74.5337, "loss": 0.2317, "time": 0.66993} +{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.15552, "decode.acc_seg": 76.67351, "aux.loss_seg": 0.08221, "aux.acc_seg": 75.34234, "loss": 0.23773, "time": 0.66671} +{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.14603, "decode.acc_seg": 74.7163, "aux.loss_seg": 0.07799, "aux.acc_seg": 73.38793, "loss": 0.22402, "time": 0.67457} +{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.15218, "decode.acc_seg": 76.4149, "aux.loss_seg": 0.08161, "aux.acc_seg": 74.94919, "loss": 0.23379, "time": 0.67866} +{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.1632, "decode.acc_seg": 74.98984, "aux.loss_seg": 0.08634, "aux.acc_seg": 73.68743, "loss": 0.24954, "time": 0.67229} +{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.16169, "decode.acc_seg": 75.4831, "aux.loss_seg": 0.08512, "aux.acc_seg": 74.09966, "loss": 0.24682, "time": 0.66887} +{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14851, "decode.acc_seg": 75.34188, "aux.loss_seg": 0.07985, "aux.acc_seg": 73.95042, "loss": 0.22836, "time": 0.65165} +{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.14681, "decode.acc_seg": 75.62893, "aux.loss_seg": 0.07868, "aux.acc_seg": 74.31064, "loss": 0.22549, "time": 0.68211} +{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.15342, "decode.acc_seg": 74.62878, "aux.loss_seg": 0.08072, "aux.acc_seg": 73.31721, "loss": 0.23414, "time": 0.66635} +{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.15354, "decode.acc_seg": 76.20202, "aux.loss_seg": 0.08026, "aux.acc_seg": 74.98393, "loss": 0.23379, "time": 0.65254} +{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.1561, "decode.acc_seg": 74.75035, "aux.loss_seg": 0.08194, "aux.acc_seg": 73.41175, "loss": 0.23805, "time": 0.65645} +{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.15555, "decode.acc_seg": 75.39328, "aux.loss_seg": 0.0836, "aux.acc_seg": 73.94553, "loss": 0.23914, "time": 0.65609} +{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.14975, "decode.acc_seg": 75.17926, "aux.loss_seg": 0.07862, "aux.acc_seg": 73.88573, "loss": 0.22837, "time": 0.67018} +{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.16166, "decode.acc_seg": 75.44547, "aux.loss_seg": 0.08274, "aux.acc_seg": 74.29461, "loss": 0.2444, "time": 0.68266} +{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 22752, "data_time": 0.23141, "decode.loss_seg": 0.15505, "decode.acc_seg": 76.43417, "aux.loss_seg": 0.08293, "aux.acc_seg": 74.98745, "loss": 0.23798, "time": 0.88982} +{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.15148, "decode.acc_seg": 76.58866, "aux.loss_seg": 0.07968, "aux.acc_seg": 75.28494, "loss": 0.23116, "time": 0.65173} +{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.15723, "decode.acc_seg": 75.59781, "aux.loss_seg": 0.08267, "aux.acc_seg": 74.24786, "loss": 0.2399, "time": 0.67907} +{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14948, "decode.acc_seg": 75.64388, "aux.loss_seg": 0.07829, "aux.acc_seg": 74.39747, "loss": 0.22777, "time": 0.67499} +{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.15718, "decode.acc_seg": 76.03536, "aux.loss_seg": 0.08407, "aux.acc_seg": 74.64991, "loss": 0.24125, "time": 0.65537} +{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.16115, "decode.acc_seg": 76.07503, "aux.loss_seg": 0.08413, "aux.acc_seg": 74.79173, "loss": 0.24528, "time": 0.66689} +{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.15136, "decode.acc_seg": 75.68411, "aux.loss_seg": 0.08146, "aux.acc_seg": 74.24964, "loss": 0.23282, "time": 0.64745} +{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.15573, "decode.acc_seg": 75.10291, "aux.loss_seg": 0.08092, "aux.acc_seg": 73.89013, "loss": 0.23665, "time": 0.66914} +{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.15786, "decode.acc_seg": 75.15226, "aux.loss_seg": 0.08307, "aux.acc_seg": 73.91609, "loss": 0.24093, "time": 0.67404} +{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.1564, "decode.acc_seg": 76.23462, "aux.loss_seg": 0.08307, "aux.acc_seg": 74.78883, "loss": 0.23947, "time": 0.67506} +{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15231, "decode.acc_seg": 75.55093, "aux.loss_seg": 0.08165, "aux.acc_seg": 74.17254, "loss": 0.23396, "time": 0.66791} +{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.15773, "decode.acc_seg": 74.51004, "aux.loss_seg": 0.08355, "aux.acc_seg": 73.10658, "loss": 0.24128, "time": 0.68156} +{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14317, "decode.acc_seg": 74.34468, "aux.loss_seg": 0.0764, "aux.acc_seg": 73.05963, "loss": 0.21957, "time": 0.66503} +{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.15917, "decode.acc_seg": 75.5196, "aux.loss_seg": 0.08369, "aux.acc_seg": 74.13352, "loss": 0.24286, "time": 0.65663} +{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.15217, "decode.acc_seg": 75.97537, "aux.loss_seg": 0.08143, "aux.acc_seg": 74.62268, "loss": 0.23359, "time": 0.66088} +{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.15373, "decode.acc_seg": 74.42298, "aux.loss_seg": 0.0808, "aux.acc_seg": 73.12415, "loss": 0.23453, "time": 0.6519} +{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.14352, "decode.acc_seg": 74.7044, "aux.loss_seg": 0.07728, "aux.acc_seg": 73.33825, "loss": 0.2208, "time": 0.68187} +{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.16065, "decode.acc_seg": 75.85412, "aux.loss_seg": 0.0835, "aux.acc_seg": 74.58294, "loss": 0.24415, "time": 0.67177} +{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.15216, "decode.acc_seg": 77.21925, "aux.loss_seg": 0.08117, "aux.acc_seg": 75.85307, "loss": 0.23333, "time": 0.66365} +{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14066, "decode.acc_seg": 74.49162, "aux.loss_seg": 0.07494, "aux.acc_seg": 73.24773, "loss": 0.21561, "time": 0.67383} +{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.14797, "decode.acc_seg": 74.20594, "aux.loss_seg": 0.07929, "aux.acc_seg": 72.83816, "loss": 0.22726, "time": 0.64612} +{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.15151, "decode.acc_seg": 75.68786, "aux.loss_seg": 0.08036, "aux.acc_seg": 74.33927, "loss": 0.23186, "time": 0.66178} +{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.14559, "decode.acc_seg": 76.28198, "aux.loss_seg": 0.0787, "aux.acc_seg": 74.90199, "loss": 0.22429, "time": 0.65574} +{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.15222, "decode.acc_seg": 76.27456, "aux.loss_seg": 0.08032, "aux.acc_seg": 74.99032, "loss": 0.23254, "time": 0.67414} +{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15318, "decode.acc_seg": 75.09772, "aux.loss_seg": 0.08252, "aux.acc_seg": 73.6462, "loss": 0.23571, "time": 0.67061} +{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.1613, "decode.acc_seg": 74.71527, "aux.loss_seg": 0.08294, "aux.acc_seg": 73.57125, "loss": 0.24424, "time": 0.6623} +{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 22752, "data_time": 0.22961, "decode.loss_seg": 0.15759, "decode.acc_seg": 76.59152, "aux.loss_seg": 0.08336, "aux.acc_seg": 75.24997, "loss": 0.24095, "time": 0.88559} +{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.15532, "decode.acc_seg": 75.16656, "aux.loss_seg": 0.08194, "aux.acc_seg": 73.79099, "loss": 0.23726, "time": 0.66689} +{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.15331, "decode.acc_seg": 75.65377, "aux.loss_seg": 0.08159, "aux.acc_seg": 74.24631, "loss": 0.23489, "time": 0.67757} +{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.15852, "decode.acc_seg": 75.10412, "aux.loss_seg": 0.08479, "aux.acc_seg": 73.70422, "loss": 0.24331, "time": 0.67575} +{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.15005, "decode.acc_seg": 75.94638, "aux.loss_seg": 0.07947, "aux.acc_seg": 74.63016, "loss": 0.22953, "time": 0.68348} +{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.15777, "decode.acc_seg": 74.8736, "aux.loss_seg": 0.08362, "aux.acc_seg": 73.61331, "loss": 0.24138, "time": 0.66619} +{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.1502, "decode.acc_seg": 76.90161, "aux.loss_seg": 0.0807, "aux.acc_seg": 75.42561, "loss": 0.2309, "time": 0.65914} +{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.14272, "decode.acc_seg": 75.37101, "aux.loss_seg": 0.07615, "aux.acc_seg": 74.06955, "loss": 0.21888, "time": 0.67232} +{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.16427, "decode.acc_seg": 72.53551, "aux.loss_seg": 0.08544, "aux.acc_seg": 71.17958, "loss": 0.24971, "time": 0.66816} +{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.15682, "decode.acc_seg": 75.00935, "aux.loss_seg": 0.08255, "aux.acc_seg": 73.71553, "loss": 0.23937, "time": 0.66932} +{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.15278, "decode.acc_seg": 75.34013, "aux.loss_seg": 0.08149, "aux.acc_seg": 73.94989, "loss": 0.23427, "time": 0.66759} +{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.14688, "decode.acc_seg": 75.50184, "aux.loss_seg": 0.07809, "aux.acc_seg": 74.21161, "loss": 0.22498, "time": 0.67028} +{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.1663, "decode.acc_seg": 76.14217, "aux.loss_seg": 0.088, "aux.acc_seg": 74.67075, "loss": 0.2543, "time": 0.64867} +{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15402, "decode.acc_seg": 77.01897, "aux.loss_seg": 0.08221, "aux.acc_seg": 75.59577, "loss": 0.23622, "time": 0.66145} +{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.155, "decode.acc_seg": 76.6562, "aux.loss_seg": 0.08255, "aux.acc_seg": 75.27186, "loss": 0.23755, "time": 0.66344} +{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.15633, "decode.acc_seg": 75.62717, "aux.loss_seg": 0.08257, "aux.acc_seg": 74.32885, "loss": 0.23889, "time": 0.66864} +{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15198, "decode.acc_seg": 76.02589, "aux.loss_seg": 0.07978, "aux.acc_seg": 74.77948, "loss": 0.23176, "time": 0.65678} +{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.15617, "decode.acc_seg": 75.10787, "aux.loss_seg": 0.08285, "aux.acc_seg": 73.74419, "loss": 0.23901, "time": 0.65373} +{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14426, "decode.acc_seg": 75.25703, "aux.loss_seg": 0.07733, "aux.acc_seg": 73.92919, "loss": 0.22159, "time": 0.66181} +{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.14984, "decode.acc_seg": 76.38921, "aux.loss_seg": 0.07914, "aux.acc_seg": 75.12902, "loss": 0.22899, "time": 0.66661} +{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.14954, "decode.acc_seg": 76.1971, "aux.loss_seg": 0.07899, "aux.acc_seg": 74.86166, "loss": 0.22853, "time": 0.66281} +{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.14799, "decode.acc_seg": 76.10218, "aux.loss_seg": 0.07891, "aux.acc_seg": 74.75956, "loss": 0.22691, "time": 0.6646} +{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.15153, "decode.acc_seg": 76.35711, "aux.loss_seg": 0.07981, "aux.acc_seg": 75.1331, "loss": 0.23134, "time": 0.67573} +{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.1457, "decode.acc_seg": 75.53259, "aux.loss_seg": 0.07751, "aux.acc_seg": 74.23189, "loss": 0.22321, "time": 0.64931} +{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.15701, "decode.acc_seg": 74.53356, "aux.loss_seg": 0.08361, "aux.acc_seg": 73.15476, "loss": 0.24062, "time": 0.66829} +{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 22752, "data_time": 0.23442, "decode.loss_seg": 0.15194, "decode.acc_seg": 76.27459, "aux.loss_seg": 0.08101, "aux.acc_seg": 74.87554, "loss": 0.23295, "time": 0.88006} +{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.14702, "decode.acc_seg": 75.80737, "aux.loss_seg": 0.0789, "aux.acc_seg": 74.49055, "loss": 0.22593, "time": 0.65831} +{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.15126, "decode.acc_seg": 76.03904, "aux.loss_seg": 0.08136, "aux.acc_seg": 74.63503, "loss": 0.23262, "time": 0.64822} +{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.16234, "decode.acc_seg": 74.08224, "aux.loss_seg": 0.08522, "aux.acc_seg": 72.78528, "loss": 0.24756, "time": 0.65356} +{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.15401, "decode.acc_seg": 75.2169, "aux.loss_seg": 0.08109, "aux.acc_seg": 73.83065, "loss": 0.23509, "time": 0.66422} +{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.15638, "decode.acc_seg": 76.23396, "aux.loss_seg": 0.08315, "aux.acc_seg": 74.92927, "loss": 0.23953, "time": 0.6758} +{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.14354, "decode.acc_seg": 75.23066, "aux.loss_seg": 0.07628, "aux.acc_seg": 73.95365, "loss": 0.21981, "time": 0.66174} +{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.14881, "decode.acc_seg": 75.1966, "aux.loss_seg": 0.07904, "aux.acc_seg": 73.84317, "loss": 0.22785, "time": 0.67728} +{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.15583, "decode.acc_seg": 77.61274, "aux.loss_seg": 0.08371, "aux.acc_seg": 76.15862, "loss": 0.23954, "time": 0.67408} +{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.1528, "decode.acc_seg": 76.3669, "aux.loss_seg": 0.08168, "aux.acc_seg": 74.98481, "loss": 0.23448, "time": 0.67619} +{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.14337, "decode.acc_seg": 75.64669, "aux.loss_seg": 0.07631, "aux.acc_seg": 74.32576, "loss": 0.21968, "time": 0.67796} +{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15715, "decode.acc_seg": 75.33965, "aux.loss_seg": 0.08348, "aux.acc_seg": 73.93402, "loss": 0.24063, "time": 0.67315} +{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.16687, "decode.acc_seg": 74.69953, "aux.loss_seg": 0.08858, "aux.acc_seg": 73.34743, "loss": 0.25545, "time": 0.67324} +{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.14616, "decode.acc_seg": 75.66508, "aux.loss_seg": 0.07793, "aux.acc_seg": 74.40821, "loss": 0.22408, "time": 0.6491} +{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.16199, "decode.acc_seg": 76.7907, "aux.loss_seg": 0.08688, "aux.acc_seg": 75.26139, "loss": 0.24887, "time": 0.68071} +{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.16281, "decode.acc_seg": 76.03216, "aux.loss_seg": 0.08548, "aux.acc_seg": 74.65036, "loss": 0.24829, "time": 0.66879} +{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.15705, "decode.acc_seg": 76.2527, "aux.loss_seg": 0.08431, "aux.acc_seg": 74.83172, "loss": 0.24136, "time": 0.66204} +{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.15178, "decode.acc_seg": 75.4262, "aux.loss_seg": 0.0807, "aux.acc_seg": 74.10087, "loss": 0.23248, "time": 0.66188} +{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.13837, "decode.acc_seg": 74.36047, "aux.loss_seg": 0.07461, "aux.acc_seg": 73.03396, "loss": 0.21298, "time": 0.67779} +{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14734, "decode.acc_seg": 75.0688, "aux.loss_seg": 0.07825, "aux.acc_seg": 73.7039, "loss": 0.22558, "time": 0.68136} +{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.1507, "decode.acc_seg": 76.19267, "aux.loss_seg": 0.08098, "aux.acc_seg": 74.82128, "loss": 0.23167, "time": 0.65213} +{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.14714, "decode.acc_seg": 75.1523, "aux.loss_seg": 0.07895, "aux.acc_seg": 73.80233, "loss": 0.22608, "time": 0.66065} +{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.14417, "decode.acc_seg": 75.74693, "aux.loss_seg": 0.07721, "aux.acc_seg": 74.48915, "loss": 0.22138, "time": 0.67806} +{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14953, "decode.acc_seg": 75.34425, "aux.loss_seg": 0.07825, "aux.acc_seg": 74.09252, "loss": 0.22778, "time": 0.66809} +{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.16154, "decode.acc_seg": 75.52296, "aux.loss_seg": 0.08579, "aux.acc_seg": 74.14057, "loss": 0.24733, "time": 0.6597} +{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 22752, "data_time": 0.22907, "decode.loss_seg": 0.154, "decode.acc_seg": 75.24275, "aux.loss_seg": 0.08215, "aux.acc_seg": 73.82598, "loss": 0.23615, "time": 0.8985} +{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14597, "decode.acc_seg": 76.40348, "aux.loss_seg": 0.07809, "aux.acc_seg": 75.11382, "loss": 0.22406, "time": 0.67705} +{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15366, "decode.acc_seg": 76.01274, "aux.loss_seg": 0.0812, "aux.acc_seg": 74.62396, "loss": 0.23486, "time": 0.64866} +{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.15358, "decode.acc_seg": 75.58388, "aux.loss_seg": 0.08132, "aux.acc_seg": 74.31859, "loss": 0.2349, "time": 0.67474} +{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.14695, "decode.acc_seg": 76.36333, "aux.loss_seg": 0.08006, "aux.acc_seg": 74.83282, "loss": 0.227, "time": 0.65402} +{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.15013, "decode.acc_seg": 76.04023, "aux.loss_seg": 0.07827, "aux.acc_seg": 74.79703, "loss": 0.2284, "time": 0.66132} +{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.15645, "decode.acc_seg": 75.82517, "aux.loss_seg": 0.0824, "aux.acc_seg": 74.45278, "loss": 0.23885, "time": 0.647} +{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.15671, "decode.acc_seg": 76.16081, "aux.loss_seg": 0.08349, "aux.acc_seg": 74.85389, "loss": 0.2402, "time": 0.6452} +{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.14502, "decode.acc_seg": 74.83975, "aux.loss_seg": 0.07663, "aux.acc_seg": 73.57258, "loss": 0.22165, "time": 0.6632} +{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.15078, "decode.acc_seg": 75.3207, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.03532, "loss": 0.22981, "time": 0.66123} +{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.15597, "decode.acc_seg": 76.71715, "aux.loss_seg": 0.08401, "aux.acc_seg": 75.29832, "loss": 0.23998, "time": 0.66481} +{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.14254, "decode.acc_seg": 75.41289, "aux.loss_seg": 0.07671, "aux.acc_seg": 74.1388, "loss": 0.21925, "time": 0.66254} +{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.14437, "decode.acc_seg": 75.47243, "aux.loss_seg": 0.07749, "aux.acc_seg": 74.15741, "loss": 0.22186, "time": 0.65947} +{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.15711, "decode.acc_seg": 76.43629, "aux.loss_seg": 0.08423, "aux.acc_seg": 75.05358, "loss": 0.24134, "time": 0.67072} +{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.14867, "decode.acc_seg": 75.52262, "aux.loss_seg": 0.0804, "aux.acc_seg": 74.12216, "loss": 0.22907, "time": 0.66143} +{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.14902, "decode.acc_seg": 76.53458, "aux.loss_seg": 0.07905, "aux.acc_seg": 75.19354, "loss": 0.22807, "time": 0.67363} +{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.16195, "decode.acc_seg": 75.15471, "aux.loss_seg": 0.08587, "aux.acc_seg": 73.66693, "loss": 0.24781, "time": 0.67642} +{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.15421, "decode.acc_seg": 75.9706, "aux.loss_seg": 0.0809, "aux.acc_seg": 74.69762, "loss": 0.23511, "time": 0.64817} +{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.15794, "decode.acc_seg": 75.63673, "aux.loss_seg": 0.08463, "aux.acc_seg": 74.20074, "loss": 0.24256, "time": 0.6695} +{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.15294, "decode.acc_seg": 75.71774, "aux.loss_seg": 0.08226, "aux.acc_seg": 74.33268, "loss": 0.2352, "time": 0.67178} +{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.14443, "decode.acc_seg": 76.9322, "aux.loss_seg": 0.07733, "aux.acc_seg": 75.61494, "loss": 0.22176, "time": 0.67361} +{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.14933, "decode.acc_seg": 76.52672, "aux.loss_seg": 0.07888, "aux.acc_seg": 75.29234, "loss": 0.22821, "time": 0.67242} +{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.14608, "decode.acc_seg": 74.2367, "aux.loss_seg": 0.07854, "aux.acc_seg": 72.94135, "loss": 0.22462, "time": 0.65419} +{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15515, "decode.acc_seg": 76.70232, "aux.loss_seg": 0.08143, "aux.acc_seg": 75.4003, "loss": 0.23658, "time": 0.66578} +{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.14435, "decode.acc_seg": 74.85328, "aux.loss_seg": 0.07686, "aux.acc_seg": 73.59659, "loss": 0.22121, "time": 0.66278} +{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 22752, "data_time": 0.22815, "decode.loss_seg": 0.14797, "decode.acc_seg": 74.4631, "aux.loss_seg": 0.07781, "aux.acc_seg": 73.22654, "loss": 0.22578, "time": 0.8798} +{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.15296, "decode.acc_seg": 76.05998, "aux.loss_seg": 0.0818, "aux.acc_seg": 74.62255, "loss": 0.23476, "time": 0.66919} +{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.1478, "decode.acc_seg": 75.72589, "aux.loss_seg": 0.07924, "aux.acc_seg": 74.45232, "loss": 0.22704, "time": 0.66713} +{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.14919, "decode.acc_seg": 75.36328, "aux.loss_seg": 0.07876, "aux.acc_seg": 74.07759, "loss": 0.22795, "time": 0.67978} +{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14276, "decode.acc_seg": 75.67195, "aux.loss_seg": 0.07718, "aux.acc_seg": 74.39106, "loss": 0.21994, "time": 0.68225} +{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.15122, "decode.acc_seg": 76.44994, "aux.loss_seg": 0.0813, "aux.acc_seg": 74.97769, "loss": 0.23251, "time": 0.68248} +{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.14752, "decode.acc_seg": 75.72184, "aux.loss_seg": 0.07875, "aux.acc_seg": 74.34407, "loss": 0.22627, "time": 0.67501} +{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.14832, "decode.acc_seg": 75.50707, "aux.loss_seg": 0.079, "aux.acc_seg": 74.21222, "loss": 0.22731, "time": 0.67314} +{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14875, "decode.acc_seg": 76.60678, "aux.loss_seg": 0.08005, "aux.acc_seg": 75.26016, "loss": 0.2288, "time": 0.66118} +{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.14643, "decode.acc_seg": 76.06526, "aux.loss_seg": 0.07965, "aux.acc_seg": 74.58132, "loss": 0.22609, "time": 0.66861} +{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.14878, "decode.acc_seg": 75.75345, "aux.loss_seg": 0.07964, "aux.acc_seg": 74.31453, "loss": 0.22842, "time": 0.66939} +{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.15309, "decode.acc_seg": 75.74458, "aux.loss_seg": 0.08187, "aux.acc_seg": 74.39242, "loss": 0.23495, "time": 0.67119} +{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 22752, "data_time": 0.01068, "decode.loss_seg": 0.15554, "decode.acc_seg": 75.83009, "aux.loss_seg": 0.08223, "aux.acc_seg": 74.47993, "loss": 0.23777, "time": 0.67514} +{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 22752, "data_time": 0.01134, "decode.loss_seg": 0.14434, "decode.acc_seg": 75.67818, "aux.loss_seg": 0.07822, "aux.acc_seg": 74.30617, "loss": 0.22256, "time": 0.65367} +{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.14919, "decode.acc_seg": 75.74786, "aux.loss_seg": 0.08002, "aux.acc_seg": 74.38466, "loss": 0.22921, "time": 0.66132} +{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.14458, "decode.acc_seg": 76.53204, "aux.loss_seg": 0.07835, "aux.acc_seg": 75.13363, "loss": 0.22294, "time": 0.65899} +{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.15495, "decode.acc_seg": 75.79867, "aux.loss_seg": 0.08119, "aux.acc_seg": 74.53521, "loss": 0.23614, "time": 0.63198} +{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.16162, "decode.acc_seg": 75.70325, "aux.loss_seg": 0.08515, "aux.acc_seg": 74.30768, "loss": 0.24677, "time": 0.66507} +{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.14892, "decode.acc_seg": 75.95032, "aux.loss_seg": 0.07902, "aux.acc_seg": 74.71081, "loss": 0.22795, "time": 0.64235} +{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 22752, "data_time": 0.01054, "decode.loss_seg": 0.15428, "decode.acc_seg": 75.82957, "aux.loss_seg": 0.08187, "aux.acc_seg": 74.47761, "loss": 0.23615, "time": 0.66936} +{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.14791, "decode.acc_seg": 75.36738, "aux.loss_seg": 0.07772, "aux.acc_seg": 74.11681, "loss": 0.22563, "time": 0.65096} +{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.15447, "decode.acc_seg": 74.99861, "aux.loss_seg": 0.0823, "aux.acc_seg": 73.56247, "loss": 0.23677, "time": 0.65601} +{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 22752, "data_time": 0.01066, "decode.loss_seg": 0.14915, "decode.acc_seg": 75.3826, "aux.loss_seg": 0.08041, "aux.acc_seg": 74.00334, "loss": 0.22956, "time": 0.66934} +{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 22752, "data_time": 0.0108, "decode.loss_seg": 0.1492, "decode.acc_seg": 75.42421, "aux.loss_seg": 0.07859, "aux.acc_seg": 74.17218, "loss": 0.22779, "time": 0.65827} +{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.15125, "decode.acc_seg": 75.7638, "aux.loss_seg": 0.08092, "aux.acc_seg": 74.45797, "loss": 0.23216, "time": 0.66987} +{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 22752, "data_time": 0.01109, "decode.loss_seg": 0.15225, "decode.acc_seg": 75.64093, "aux.loss_seg": 0.0815, "aux.acc_seg": 74.28715, "loss": 0.23375, "time": 0.65796} +{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 22752, "data_time": 0.23137, "decode.loss_seg": 0.14909, "decode.acc_seg": 75.53522, "aux.loss_seg": 0.07966, "aux.acc_seg": 74.14145, "loss": 0.22875, "time": 0.87279} +{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.14189, "decode.acc_seg": 75.65529, "aux.loss_seg": 0.07506, "aux.acc_seg": 74.41278, "loss": 0.21695, "time": 0.6673} +{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.15245, "decode.acc_seg": 75.60352, "aux.loss_seg": 0.0828, "aux.acc_seg": 74.07296, "loss": 0.23525, "time": 0.6789} +{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 22752, "data_time": 0.01107, "decode.loss_seg": 0.15092, "decode.acc_seg": 74.55139, "aux.loss_seg": 0.0802, "aux.acc_seg": 73.17883, "loss": 0.23112, "time": 0.66516} +{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 22752, "data_time": 0.01124, "decode.loss_seg": 0.15257, "decode.acc_seg": 74.21501, "aux.loss_seg": 0.08394, "aux.acc_seg": 72.65046, "loss": 0.2365, "time": 0.67613} +{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.1466, "decode.acc_seg": 74.62564, "aux.loss_seg": 0.07925, "aux.acc_seg": 73.25627, "loss": 0.22585, "time": 0.6607} +{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 22752, "data_time": 0.01058, "decode.loss_seg": 0.1526, "decode.acc_seg": 77.26215, "aux.loss_seg": 0.08169, "aux.acc_seg": 75.82259, "loss": 0.23429, "time": 0.67426} +{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 22752, "data_time": 0.01107, "decode.loss_seg": 0.15277, "decode.acc_seg": 74.70326, "aux.loss_seg": 0.08152, "aux.acc_seg": 73.38886, "loss": 0.23429, "time": 0.63546} +{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.14477, "decode.acc_seg": 75.87684, "aux.loss_seg": 0.07695, "aux.acc_seg": 74.56541, "loss": 0.22172, "time": 0.66198} +{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.15046, "decode.acc_seg": 76.67328, "aux.loss_seg": 0.08076, "aux.acc_seg": 75.32185, "loss": 0.23122, "time": 0.66604} +{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 22752, "data_time": 0.01088, "decode.loss_seg": 0.1568, "decode.acc_seg": 75.53698, "aux.loss_seg": 0.08049, "aux.acc_seg": 74.32714, "loss": 0.23729, "time": 0.6746} +{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.15204, "decode.acc_seg": 74.49333, "aux.loss_seg": 0.08135, "aux.acc_seg": 73.11557, "loss": 0.23339, "time": 0.63686} +{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.1507, "decode.acc_seg": 75.43824, "aux.loss_seg": 0.08116, "aux.acc_seg": 74.00581, "loss": 0.23186, "time": 0.65549} +{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 22752, "data_time": 0.01096, "decode.loss_seg": 0.15177, "decode.acc_seg": 77.16505, "aux.loss_seg": 0.07913, "aux.acc_seg": 75.93089, "loss": 0.2309, "time": 0.67571} +{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.1498, "decode.acc_seg": 76.38349, "aux.loss_seg": 0.08065, "aux.acc_seg": 74.90651, "loss": 0.23045, "time": 0.67064} +{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 22752, "data_time": 0.01034, "decode.loss_seg": 0.14886, "decode.acc_seg": 76.90869, "aux.loss_seg": 0.07969, "aux.acc_seg": 75.59275, "loss": 0.22855, "time": 0.63515} +{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.1482, "decode.acc_seg": 75.13911, "aux.loss_seg": 0.07844, "aux.acc_seg": 73.84364, "loss": 0.22665, "time": 0.67102} +{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.14775, "decode.acc_seg": 74.04697, "aux.loss_seg": 0.07897, "aux.acc_seg": 72.67372, "loss": 0.22671, "time": 0.67144} +{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 22752, "data_time": 0.01048, "decode.loss_seg": 0.14988, "decode.acc_seg": 76.51333, "aux.loss_seg": 0.08092, "aux.acc_seg": 75.08459, "loss": 0.2308, "time": 0.67515} +{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.15172, "decode.acc_seg": 76.23294, "aux.loss_seg": 0.08129, "aux.acc_seg": 74.79508, "loss": 0.23301, "time": 0.66036} +{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 22752, "data_time": 0.01096, "decode.loss_seg": 0.1533, "decode.acc_seg": 75.21531, "aux.loss_seg": 0.08054, "aux.acc_seg": 73.95254, "loss": 0.23385, "time": 0.66309} +{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 22752, "data_time": 0.0114, "decode.loss_seg": 0.15536, "decode.acc_seg": 75.52262, "aux.loss_seg": 0.08472, "aux.acc_seg": 74.0229, "loss": 0.24008, "time": 0.66608} +{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.14865, "decode.acc_seg": 74.92048, "aux.loss_seg": 0.07837, "aux.acc_seg": 73.72554, "loss": 0.22702, "time": 0.65147} +{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 22752, "data_time": 0.01104, "decode.loss_seg": 0.15567, "decode.acc_seg": 77.0541, "aux.loss_seg": 0.08304, "aux.acc_seg": 75.67317, "loss": 0.23871, "time": 0.6714} +{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.14947, "decode.acc_seg": 76.11688, "aux.loss_seg": 0.07998, "aux.acc_seg": 74.76107, "loss": 0.22945, "time": 0.67903} +{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 22752, "data_time": 0.23341, "decode.loss_seg": 0.14028, "decode.acc_seg": 75.90162, "aux.loss_seg": 0.07595, "aux.acc_seg": 74.49725, "loss": 0.21623, "time": 0.88384} +{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.14671, "decode.acc_seg": 73.95639, "aux.loss_seg": 0.07924, "aux.acc_seg": 72.63656, "loss": 0.22595, "time": 0.65245} +{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.13713, "decode.acc_seg": 75.37306, "aux.loss_seg": 0.07355, "aux.acc_seg": 74.09884, "loss": 0.21068, "time": 0.64351} +{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.1487, "decode.acc_seg": 75.78719, "aux.loss_seg": 0.07902, "aux.acc_seg": 74.38516, "loss": 0.22772, "time": 0.67055} +{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14199, "decode.acc_seg": 75.27942, "aux.loss_seg": 0.07683, "aux.acc_seg": 73.87801, "loss": 0.21882, "time": 0.67292} +{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.15895, "decode.acc_seg": 76.33954, "aux.loss_seg": 0.08315, "aux.acc_seg": 74.9953, "loss": 0.2421, "time": 0.67182} +{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.14572, "decode.acc_seg": 75.85629, "aux.loss_seg": 0.07778, "aux.acc_seg": 74.50572, "loss": 0.2235, "time": 0.67097} +{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.15573, "decode.acc_seg": 75.76448, "aux.loss_seg": 0.08243, "aux.acc_seg": 74.46529, "loss": 0.23817, "time": 0.65543} +{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.15089, "decode.acc_seg": 76.93897, "aux.loss_seg": 0.07942, "aux.acc_seg": 75.68883, "loss": 0.23031, "time": 0.66508} +{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.15292, "decode.acc_seg": 74.55818, "aux.loss_seg": 0.08129, "aux.acc_seg": 73.17863, "loss": 0.23421, "time": 0.65749} +{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.14778, "decode.acc_seg": 75.8152, "aux.loss_seg": 0.07925, "aux.acc_seg": 74.43311, "loss": 0.22704, "time": 0.67453} +{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14442, "decode.acc_seg": 76.61199, "aux.loss_seg": 0.07784, "aux.acc_seg": 75.24844, "loss": 0.22226, "time": 0.67999} +{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.15045, "decode.acc_seg": 75.8988, "aux.loss_seg": 0.07923, "aux.acc_seg": 74.6289, "loss": 0.22968, "time": 0.66829} +{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.1464, "decode.acc_seg": 74.8338, "aux.loss_seg": 0.07725, "aux.acc_seg": 73.49924, "loss": 0.22365, "time": 0.66326} +{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.14758, "decode.acc_seg": 74.5787, "aux.loss_seg": 0.07951, "aux.acc_seg": 73.17441, "loss": 0.22709, "time": 0.66515} +{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.14863, "decode.acc_seg": 74.32546, "aux.loss_seg": 0.07897, "aux.acc_seg": 73.05665, "loss": 0.2276, "time": 0.65664} +{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.14401, "decode.acc_seg": 74.59826, "aux.loss_seg": 0.077, "aux.acc_seg": 73.30808, "loss": 0.221, "time": 0.66196} +{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.14148, "decode.acc_seg": 75.20642, "aux.loss_seg": 0.07539, "aux.acc_seg": 73.95595, "loss": 0.21687, "time": 0.6694} +{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.15613, "decode.acc_seg": 76.3754, "aux.loss_seg": 0.08537, "aux.acc_seg": 74.89087, "loss": 0.2415, "time": 0.6518} +{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15481, "decode.acc_seg": 76.34564, "aux.loss_seg": 0.08264, "aux.acc_seg": 74.94485, "loss": 0.23746, "time": 0.68216} +{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.15168, "decode.acc_seg": 75.13768, "aux.loss_seg": 0.08033, "aux.acc_seg": 73.8735, "loss": 0.23201, "time": 0.65988} +{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.1413, "decode.acc_seg": 76.33712, "aux.loss_seg": 0.07584, "aux.acc_seg": 75.00703, "loss": 0.21715, "time": 0.66556} +{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.15525, "decode.acc_seg": 75.87631, "aux.loss_seg": 0.08246, "aux.acc_seg": 74.59078, "loss": 0.23771, "time": 0.65513} +{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.15595, "decode.acc_seg": 76.69714, "aux.loss_seg": 0.08357, "aux.acc_seg": 75.39187, "loss": 0.23953, "time": 0.66838} +{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.14838, "decode.acc_seg": 76.06586, "aux.loss_seg": 0.08004, "aux.acc_seg": 74.60873, "loss": 0.22842, "time": 0.66492} +{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 22752, "data_time": 0.22988, "decode.loss_seg": 0.14753, "decode.acc_seg": 76.05775, "aux.loss_seg": 0.0786, "aux.acc_seg": 74.7356, "loss": 0.22613, "time": 0.88016} +{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14978, "decode.acc_seg": 74.04753, "aux.loss_seg": 0.07992, "aux.acc_seg": 72.66989, "loss": 0.2297, "time": 0.66215} +{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.13957, "decode.acc_seg": 75.20689, "aux.loss_seg": 0.07499, "aux.acc_seg": 73.88929, "loss": 0.21456, "time": 0.65718} +{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.14852, "decode.acc_seg": 75.61777, "aux.loss_seg": 0.07957, "aux.acc_seg": 74.29984, "loss": 0.22809, "time": 0.66467} +{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.14764, "decode.acc_seg": 76.25297, "aux.loss_seg": 0.0777, "aux.acc_seg": 74.98074, "loss": 0.22534, "time": 0.6432} +{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.15659, "decode.acc_seg": 77.31498, "aux.loss_seg": 0.0837, "aux.acc_seg": 75.87354, "loss": 0.24029, "time": 0.67094} +{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.14795, "decode.acc_seg": 76.98501, "aux.loss_seg": 0.07926, "aux.acc_seg": 75.6592, "loss": 0.22722, "time": 0.66994} +{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.15438, "decode.acc_seg": 76.48014, "aux.loss_seg": 0.08254, "aux.acc_seg": 75.10628, "loss": 0.23692, "time": 0.66342} +{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14377, "decode.acc_seg": 76.02863, "aux.loss_seg": 0.07609, "aux.acc_seg": 74.8555, "loss": 0.21986, "time": 0.67697} +{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.14402, "decode.acc_seg": 75.3253, "aux.loss_seg": 0.07831, "aux.acc_seg": 73.90629, "loss": 0.22233, "time": 0.65513} +{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.15197, "decode.acc_seg": 75.28643, "aux.loss_seg": 0.08074, "aux.acc_seg": 73.89822, "loss": 0.23271, "time": 0.66208} +{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.1531, "decode.acc_seg": 76.34549, "aux.loss_seg": 0.08205, "aux.acc_seg": 74.96263, "loss": 0.23515, "time": 0.6619} +{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.1494, "decode.acc_seg": 74.90602, "aux.loss_seg": 0.07931, "aux.acc_seg": 73.58261, "loss": 0.22872, "time": 0.6615} +{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.14801, "decode.acc_seg": 75.24238, "aux.loss_seg": 0.08043, "aux.acc_seg": 73.85122, "loss": 0.22844, "time": 0.66361} +{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.1486, "decode.acc_seg": 74.64963, "aux.loss_seg": 0.07725, "aux.acc_seg": 73.4416, "loss": 0.22585, "time": 0.67201} +{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.1428, "decode.acc_seg": 75.16541, "aux.loss_seg": 0.0767, "aux.acc_seg": 73.85624, "loss": 0.2195, "time": 0.67834} +{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.14854, "decode.acc_seg": 75.12781, "aux.loss_seg": 0.07931, "aux.acc_seg": 73.83582, "loss": 0.22785, "time": 0.68119} +{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15128, "decode.acc_seg": 76.04761, "aux.loss_seg": 0.0801, "aux.acc_seg": 74.77041, "loss": 0.23138, "time": 0.68372} +{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.13712, "decode.acc_seg": 75.63687, "aux.loss_seg": 0.07337, "aux.acc_seg": 74.33899, "loss": 0.21049, "time": 0.66401} +{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.15302, "decode.acc_seg": 76.31652, "aux.loss_seg": 0.08015, "aux.acc_seg": 75.01016, "loss": 0.23317, "time": 0.66494} +{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.1513, "decode.acc_seg": 74.31529, "aux.loss_seg": 0.0804, "aux.acc_seg": 72.91221, "loss": 0.2317, "time": 0.66578} +{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.1444, "decode.acc_seg": 74.48204, "aux.loss_seg": 0.07836, "aux.acc_seg": 73.11657, "loss": 0.22276, "time": 0.66699} +{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.16074, "decode.acc_seg": 78.00161, "aux.loss_seg": 0.08564, "aux.acc_seg": 76.60134, "loss": 0.24638, "time": 0.65024} +{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.14063, "decode.acc_seg": 75.00509, "aux.loss_seg": 0.07706, "aux.acc_seg": 73.53386, "loss": 0.21769, "time": 0.64563} +{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.69651, "aux.loss_seg": 0.07802, "aux.acc_seg": 74.33221, "loss": 0.22174, "time": 0.66067} +{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 22752, "data_time": 0.23376, "decode.loss_seg": 0.14733, "decode.acc_seg": 75.4956, "aux.loss_seg": 0.07916, "aux.acc_seg": 74.12806, "loss": 0.22649, "time": 0.88698} +{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.1437, "decode.acc_seg": 76.63957, "aux.loss_seg": 0.07758, "aux.acc_seg": 75.24588, "loss": 0.22128, "time": 0.66841} +{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.14308, "decode.acc_seg": 75.28992, "aux.loss_seg": 0.07744, "aux.acc_seg": 73.8779, "loss": 0.22052, "time": 0.66789} +{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.14026, "decode.acc_seg": 74.6518, "aux.loss_seg": 0.07409, "aux.acc_seg": 73.42494, "loss": 0.21435, "time": 0.67366} +{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.13825, "decode.acc_seg": 75.76138, "aux.loss_seg": 0.07459, "aux.acc_seg": 74.47901, "loss": 0.21284, "time": 0.67232} +{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14646, "decode.acc_seg": 76.14736, "aux.loss_seg": 0.07792, "aux.acc_seg": 74.85518, "loss": 0.22438, "time": 0.67484} +{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.14159, "decode.acc_seg": 75.51905, "aux.loss_seg": 0.07653, "aux.acc_seg": 74.16715, "loss": 0.21813, "time": 0.65415} +{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 22752, "data_time": 0.01115, "decode.loss_seg": 0.1468, "decode.acc_seg": 74.39523, "aux.loss_seg": 0.07939, "aux.acc_seg": 73.06055, "loss": 0.22619, "time": 0.67044} +{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.15031, "decode.acc_seg": 75.17428, "aux.loss_seg": 0.07996, "aux.acc_seg": 73.7902, "loss": 0.23027, "time": 0.67194} +{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.1518, "decode.acc_seg": 76.72678, "aux.loss_seg": 0.08217, "aux.acc_seg": 75.31399, "loss": 0.23397, "time": 0.67792} +{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.15013, "decode.acc_seg": 74.7571, "aux.loss_seg": 0.07885, "aux.acc_seg": 73.42367, "loss": 0.22898, "time": 0.66355} +{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14237, "decode.acc_seg": 76.26633, "aux.loss_seg": 0.07575, "aux.acc_seg": 74.95258, "loss": 0.21812, "time": 0.67343} +{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.14198, "decode.acc_seg": 75.04599, "aux.loss_seg": 0.07591, "aux.acc_seg": 73.75588, "loss": 0.21789, "time": 0.67956} +{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.14441, "decode.acc_seg": 75.05575, "aux.loss_seg": 0.07816, "aux.acc_seg": 73.71661, "loss": 0.22257, "time": 0.66234} +{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.15481, "decode.acc_seg": 76.32072, "aux.loss_seg": 0.08093, "aux.acc_seg": 75.05405, "loss": 0.23574, "time": 0.67378} +{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 22752, "data_time": 0.00974, "decode.loss_seg": 0.14822, "decode.acc_seg": 75.83515, "aux.loss_seg": 0.07955, "aux.acc_seg": 74.54653, "loss": 0.22777, "time": 0.68165} +{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.14739, "decode.acc_seg": 77.28078, "aux.loss_seg": 0.07859, "aux.acc_seg": 75.9562, "loss": 0.22598, "time": 0.66965} +{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 22752, "data_time": 0.00974, "decode.loss_seg": 0.14108, "decode.acc_seg": 75.3899, "aux.loss_seg": 0.07582, "aux.acc_seg": 74.10953, "loss": 0.2169, "time": 0.65846} +{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.14524, "decode.acc_seg": 74.35931, "aux.loss_seg": 0.07805, "aux.acc_seg": 73.03, "loss": 0.22329, "time": 0.68018} +{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.1397, "decode.acc_seg": 75.23901, "aux.loss_seg": 0.0748, "aux.acc_seg": 73.93343, "loss": 0.2145, "time": 0.68771} +{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.14456, "decode.acc_seg": 76.60001, "aux.loss_seg": 0.07766, "aux.acc_seg": 75.34643, "loss": 0.22222, "time": 0.65136} +{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.14162, "decode.acc_seg": 77.19407, "aux.loss_seg": 0.07643, "aux.acc_seg": 75.81965, "loss": 0.21804, "time": 0.66056} +{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.1548, "decode.acc_seg": 77.36887, "aux.loss_seg": 0.08317, "aux.acc_seg": 75.93567, "loss": 0.23797, "time": 0.67581} +{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.15128, "decode.acc_seg": 76.37337, "aux.loss_seg": 0.08031, "aux.acc_seg": 75.01971, "loss": 0.23159, "time": 0.67853} +{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.15196, "decode.acc_seg": 77.24457, "aux.loss_seg": 0.08118, "aux.acc_seg": 75.90759, "loss": 0.23314, "time": 0.65595} +{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.14404, "decode.acc_seg": 76.20246, "aux.loss_seg": 0.0768, "aux.acc_seg": 74.91375, "loss": 0.22083, "time": 0.66824} +{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 22752, "data_time": 0.23503, "decode.loss_seg": 0.15022, "decode.acc_seg": 76.74692, "aux.loss_seg": 0.08089, "aux.acc_seg": 75.3069, "loss": 0.23111, "time": 0.88937} +{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.14758, "decode.acc_seg": 76.1515, "aux.loss_seg": 0.07877, "aux.acc_seg": 74.82662, "loss": 0.22635, "time": 0.67314} +{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.14656, "decode.acc_seg": 75.77644, "aux.loss_seg": 0.07923, "aux.acc_seg": 74.34076, "loss": 0.2258, "time": 0.6573} +{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14857, "decode.acc_seg": 75.88356, "aux.loss_seg": 0.07959, "aux.acc_seg": 74.41127, "loss": 0.22816, "time": 0.67451} +{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.1443, "decode.acc_seg": 75.41062, "aux.loss_seg": 0.07837, "aux.acc_seg": 74.03846, "loss": 0.22266, "time": 0.66969} +{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.14439, "decode.acc_seg": 76.66136, "aux.loss_seg": 0.07827, "aux.acc_seg": 75.30938, "loss": 0.22266, "time": 0.64805} +{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.15241, "decode.acc_seg": 76.57447, "aux.loss_seg": 0.08033, "aux.acc_seg": 75.22369, "loss": 0.23275, "time": 0.65551} +{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.14143, "decode.acc_seg": 75.36304, "aux.loss_seg": 0.07568, "aux.acc_seg": 74.03301, "loss": 0.21712, "time": 0.67197} +{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.15365, "decode.acc_seg": 74.75308, "aux.loss_seg": 0.0811, "aux.acc_seg": 73.39174, "loss": 0.23475, "time": 0.64726} +{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.15461, "decode.acc_seg": 75.38628, "aux.loss_seg": 0.0832, "aux.acc_seg": 73.97944, "loss": 0.23782, "time": 0.63842} +{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.15736, "decode.acc_seg": 76.46832, "aux.loss_seg": 0.08452, "aux.acc_seg": 75.07559, "loss": 0.24188, "time": 0.65609} +{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 22752, "data_time": 0.00799, "decode.loss_seg": 0.14912, "decode.acc_seg": 76.33793, "aux.loss_seg": 0.07967, "aux.acc_seg": 74.97912, "loss": 0.22879, "time": 0.66871} +{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.14628, "decode.acc_seg": 75.95466, "aux.loss_seg": 0.07717, "aux.acc_seg": 74.67168, "loss": 0.22345, "time": 0.66976} +{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.14743, "decode.acc_seg": 76.39067, "aux.loss_seg": 0.07841, "aux.acc_seg": 75.01645, "loss": 0.22584, "time": 0.66499} +{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14987, "decode.acc_seg": 75.25117, "aux.loss_seg": 0.08006, "aux.acc_seg": 73.95072, "loss": 0.22993, "time": 0.66637} +{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.14691, "decode.acc_seg": 76.3709, "aux.loss_seg": 0.07775, "aux.acc_seg": 75.12778, "loss": 0.22466, "time": 0.65264} +{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.13825, "decode.acc_seg": 75.05461, "aux.loss_seg": 0.07447, "aux.acc_seg": 73.73145, "loss": 0.21272, "time": 0.66556} +{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14525, "decode.acc_seg": 75.58925, "aux.loss_seg": 0.07773, "aux.acc_seg": 74.26017, "loss": 0.22298, "time": 0.66212} +{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.14348, "decode.acc_seg": 75.62957, "aux.loss_seg": 0.0769, "aux.acc_seg": 74.35583, "loss": 0.22039, "time": 0.66925} +{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.15138, "decode.acc_seg": 75.27296, "aux.loss_seg": 0.07989, "aux.acc_seg": 73.98687, "loss": 0.23127, "time": 0.66825} +{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.13808, "decode.acc_seg": 75.7022, "aux.loss_seg": 0.07383, "aux.acc_seg": 74.48987, "loss": 0.2119, "time": 0.65597} +{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.1504, "decode.acc_seg": 75.5131, "aux.loss_seg": 0.07883, "aux.acc_seg": 74.33347, "loss": 0.22923, "time": 0.66479} +{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.14706, "decode.acc_seg": 76.03081, "aux.loss_seg": 0.07779, "aux.acc_seg": 74.70594, "loss": 0.22485, "time": 0.67612} +{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14413, "decode.acc_seg": 75.29315, "aux.loss_seg": 0.07722, "aux.acc_seg": 73.89647, "loss": 0.22136, "time": 0.64944} +{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.14677, "decode.acc_seg": 75.54131, "aux.loss_seg": 0.07819, "aux.acc_seg": 74.19667, "loss": 0.22496, "time": 0.6485} +{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 22752, "data_time": 0.22754, "decode.loss_seg": 0.14497, "decode.acc_seg": 74.51385, "aux.loss_seg": 0.07731, "aux.acc_seg": 73.18542, "loss": 0.22228, "time": 0.88338} +{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.15176, "decode.acc_seg": 76.39512, "aux.loss_seg": 0.08, "aux.acc_seg": 75.09899, "loss": 0.23176, "time": 0.66015} +{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.14101, "decode.acc_seg": 75.51132, "aux.loss_seg": 0.07701, "aux.acc_seg": 74.11621, "loss": 0.21802, "time": 0.65963} +{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14612, "decode.acc_seg": 76.82805, "aux.loss_seg": 0.07726, "aux.acc_seg": 75.58952, "loss": 0.22338, "time": 0.65333} +{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.14167, "decode.acc_seg": 75.70792, "aux.loss_seg": 0.07582, "aux.acc_seg": 74.40394, "loss": 0.21749, "time": 0.66313} +{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.1441, "decode.acc_seg": 77.44842, "aux.loss_seg": 0.07843, "aux.acc_seg": 76.04138, "loss": 0.22253, "time": 0.65005} +{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.15373, "decode.acc_seg": 75.62492, "aux.loss_seg": 0.08154, "aux.acc_seg": 74.30116, "loss": 0.23528, "time": 0.66731} +{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.13919, "decode.acc_seg": 74.83743, "aux.loss_seg": 0.07512, "aux.acc_seg": 73.53662, "loss": 0.21431, "time": 0.66368} +{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14242, "decode.acc_seg": 74.87783, "aux.loss_seg": 0.07694, "aux.acc_seg": 73.48493, "loss": 0.21936, "time": 0.66111} +{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15288, "decode.acc_seg": 75.37737, "aux.loss_seg": 0.08187, "aux.acc_seg": 73.98757, "loss": 0.23476, "time": 0.66408} +{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.14646, "decode.acc_seg": 75.3871, "aux.loss_seg": 0.07978, "aux.acc_seg": 74.04228, "loss": 0.22623, "time": 0.66242} +{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.14604, "decode.acc_seg": 76.44272, "aux.loss_seg": 0.07881, "aux.acc_seg": 75.08098, "loss": 0.22485, "time": 0.67901} +{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.1421, "decode.acc_seg": 76.83839, "aux.loss_seg": 0.07614, "aux.acc_seg": 75.52148, "loss": 0.21823, "time": 0.68315} +{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.14633, "decode.acc_seg": 75.40814, "aux.loss_seg": 0.07943, "aux.acc_seg": 73.94734, "loss": 0.22576, "time": 0.66239} +{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 22752, "data_time": 0.00859, "decode.loss_seg": 0.1457, "decode.acc_seg": 75.88779, "aux.loss_seg": 0.07693, "aux.acc_seg": 74.62282, "loss": 0.22263, "time": 0.65496} +{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.15871, "decode.acc_seg": 75.99913, "aux.loss_seg": 0.08303, "aux.acc_seg": 74.63991, "loss": 0.24174, "time": 0.64619} +{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.14386, "decode.acc_seg": 74.82541, "aux.loss_seg": 0.0776, "aux.acc_seg": 73.43645, "loss": 0.22145, "time": 0.66593} +{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.15183, "decode.acc_seg": 76.07156, "aux.loss_seg": 0.0787, "aux.acc_seg": 74.99127, "loss": 0.23053, "time": 0.67301} +{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14872, "decode.acc_seg": 75.71161, "aux.loss_seg": 0.0784, "aux.acc_seg": 74.40394, "loss": 0.22712, "time": 0.6739} +{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.15326, "decode.acc_seg": 75.60338, "aux.loss_seg": 0.08292, "aux.acc_seg": 74.09038, "loss": 0.23618, "time": 0.6731} +{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.14967, "decode.acc_seg": 75.90951, "aux.loss_seg": 0.08011, "aux.acc_seg": 74.55313, "loss": 0.22978, "time": 0.66766} +{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14458, "decode.acc_seg": 75.36054, "aux.loss_seg": 0.07664, "aux.acc_seg": 74.09311, "loss": 0.22122, "time": 0.67515} +{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.14849, "decode.acc_seg": 75.41652, "aux.loss_seg": 0.08029, "aux.acc_seg": 73.99157, "loss": 0.22878, "time": 0.66088} +{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.14776, "decode.acc_seg": 76.47653, "aux.loss_seg": 0.07952, "aux.acc_seg": 75.06951, "loss": 0.22728, "time": 0.64659} +{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.14959, "decode.acc_seg": 74.84333, "aux.loss_seg": 0.07805, "aux.acc_seg": 73.54452, "loss": 0.22763, "time": 0.66165} +{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4826, "mAcc": 0.606, "aAcc": 0.8256, "IoU.wall": 0.7703, "IoU.building": 0.8135, "IoU.sky": 0.9372, "IoU.floor": 0.8181, "IoU.tree": 0.7309, "IoU.ceiling": 0.8369, "IoU.road": 0.8272, "IoU.bed ": 0.8606, "IoU.windowpane": 0.5984, "IoU.grass": 0.6991, "IoU.cabinet": 0.5895, "IoU.sidewalk": 0.6467, "IoU.person": 0.7808, "IoU.earth": 0.3864, "IoU.door": 0.479, "IoU.table": 0.5942, "IoU.mountain": 0.608, "IoU.plant": 0.484, "IoU.curtain": 0.6994, "IoU.chair": 0.5531, "IoU.car": 0.8214, "IoU.water": 0.5144, "IoU.painting": 0.7019, "IoU.sofa": 0.6117, "IoU.shelf": 0.436, "IoU.house": 0.3702, "IoU.sea": 0.5419, "IoU.mirror": 0.661, "IoU.rug": 0.6659, "IoU.field": 0.3016, "IoU.armchair": 0.4073, "IoU.seat": 0.6219, "IoU.fence": 0.4747, "IoU.desk": 0.49, "IoU.rock": 0.4826, "IoU.wardrobe": 0.5137, "IoU.lamp": 0.6061, "IoU.bathtub": 0.7466, "IoU.railing": 0.3345, "IoU.cushion": 0.5163, "IoU.base": 0.2772, "IoU.box": 0.2534, "IoU.column": 0.4634, "IoU.signboard": 0.3459, "IoU.chest of drawers": 0.3225, "IoU.counter": 0.269, "IoU.sand": 0.4615, "IoU.sink": 0.7001, "IoU.skyscraper": 0.5905, "IoU.fireplace": NaN, "IoU.refrigerator": 0.8002, "IoU.grandstand": 0.4245, "IoU.path": 0.2555, "IoU.stairs": 0.3034, "IoU.runway": 0.7129, "IoU.case": 0.3797, "IoU.pool table": 0.9082, "IoU.pillow": 0.5749, "IoU.screen door": 0.7122, "IoU.stairway": 0.3075, "IoU.river": 0.1087, "IoU.bridge": 0.6839, "IoU.bookcase": 0.3967, "IoU.blind": NaN, "IoU.coffee table": 0.5437, "IoU.toilet": 0.8377, "IoU.flower": 0.4092, "IoU.book": 0.4467, "IoU.hill": 0.1563, "IoU.bench": 0.4368, "IoU.countertop": 0.5007, "IoU.stove": 0.7116, "IoU.palm": 0.4831, "IoU.kitchen island": 0.3854, "IoU.computer": 0.6515, "IoU.swivel chair": 0.4288, "IoU.boat": 0.4169, "IoU.bar": 0.4361, "IoU.arcade machine": 0.5583, "IoU.hovel": 0.2066, "IoU.bus": 0.8903, "IoU.towel": 0.6815, "IoU.light": 0.5606, "IoU.truck": 0.3331, "IoU.tower": 0.21, "IoU.chandelier": 0.6565, "IoU.awning": 0.251, "IoU.streetlight": 0.21, "IoU.booth": 0.5702, "IoU.television receiver": NaN, "IoU.airplane": 0.584, "IoU.dirt track": 0.2599, "IoU.apparel": 0.3724, "IoU.pole": 0.159, "IoU.land": 0.0484, "IoU.bannister": 0.0981, "IoU.escalator": 0.2536, "IoU.ottoman": 0.3761, "IoU.bottle": NaN, "IoU.buffet": 0.5256, "IoU.poster": 0.3122, "IoU.stage": 0.1678, "IoU.van": 0.3566, "IoU.ship": 0.6108, "IoU.fountain": 0.2911, "IoU.conveyer belt": 0.801, "IoU.canopy": 0.1266, "IoU.washer": 0.7297, "IoU.plaything": 0.2277, "IoU.swimming pool": 0.622, "IoU.stool": 0.4044, "IoU.barrel": 0.7268, "IoU.basket": 0.3229, "IoU.waterfall": 0.6119, "IoU.tent": 0.9123, "IoU.bag": 0.1025, "IoU.minibike": 0.7469, "IoU.cradle": NaN, "IoU.oven": 0.3832, "IoU.ball": 0.4131, "IoU.food": 0.3432, "IoU.step": 0.0665, "IoU.tank": 0.5239, "IoU.trade name": 0.2955, "IoU.microwave": 0.7625, "IoU.pot": 0.5248, "IoU.animal": NaN, "IoU.bicycle": 0.5176, "IoU.lake": 0.539, "IoU.dishwasher": 0.5332, "IoU.screen": 0.6297, "IoU.blanket": 0.1351, "IoU.sculpture": 0.6647, "IoU.hood": 0.6, "IoU.sconce": 0.4857, "IoU.vase": 0.3771, "IoU.traffic light": 0.3112, "IoU.tray": 0.0961, "IoU.ashcan": 0.4036, "IoU.fan": 0.5896, "IoU.pier": 0.4278, "IoU.crt screen": 0.0408, "IoU.plate": 0.5189, "IoU.monitor": 0.0766, "IoU.bulletin board": 0.3632, "IoU.shower": 0.0331, "IoU.radiator": 0.5607, "IoU.glass": 0.1318, "IoU.clock": 0.3109, "IoU.flag": 0.3294, "Acc.wall": 0.8815, "Acc.building": 0.9211, "Acc.sky": 0.9721, "Acc.floor": 0.904, "Acc.tree": 0.8703, "Acc.ceiling": 0.9256, "Acc.road": 0.8873, "Acc.bed ": 0.9394, "Acc.windowpane": 0.7706, "Acc.grass": 0.8712, "Acc.cabinet": 0.711, "Acc.sidewalk": 0.8268, "Acc.person": 0.915, "Acc.earth": 0.4977, "Acc.door": 0.5984, "Acc.table": 0.7693, "Acc.mountain": 0.7287, "Acc.plant": 0.5852, "Acc.curtain": 0.8217, "Acc.chair": 0.7121, "Acc.car": 0.9016, "Acc.water": 0.6654, "Acc.painting": 0.8538, "Acc.sofa": 0.7801, "Acc.shelf": 0.6056, "Acc.house": 0.4862, "Acc.sea": 0.8035, "Acc.mirror": 0.7613, "Acc.rug": 0.7481, "Acc.field": 0.4278, "Acc.armchair": 0.6004, "Acc.seat": 0.7997, "Acc.fence": 0.6031, "Acc.desk": 0.6765, "Acc.rock": 0.7921, "Acc.wardrobe": 0.7, "Acc.lamp": 0.7381, "Acc.bathtub": 0.8252, "Acc.railing": 0.4755, "Acc.cushion": 0.6919, "Acc.base": 0.38, "Acc.box": 0.3183, "Acc.column": 0.5873, "Acc.signboard": 0.4948, "Acc.chest of drawers": 0.5501, "Acc.counter": 0.3342, "Acc.sand": 0.6047, "Acc.sink": 0.8024, "Acc.skyscraper": 0.7199, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8924, "Acc.grandstand": 0.7628, "Acc.path": 0.3837, "Acc.stairs": 0.409, "Acc.runway": 0.9523, "Acc.case": 0.4698, "Acc.pool table": 0.958, "Acc.pillow": 0.7055, "Acc.screen door": 0.8462, "Acc.stairway": 0.3861, "Acc.river": 0.1844, "Acc.bridge": 0.809, "Acc.bookcase": 0.4922, "Acc.blind": NaN, "Acc.coffee table": 0.7908, "Acc.toilet": 0.8927, "Acc.flower": 0.6355, "Acc.book": 0.6156, "Acc.hill": 0.2309, "Acc.bench": 0.5085, "Acc.countertop": 0.6664, "Acc.stove": 0.8347, "Acc.palm": 0.6976, "Acc.kitchen island": 0.7299, "Acc.computer": 0.7524, "Acc.swivel chair": 0.5766, "Acc.boat": 0.5348, "Acc.bar": 0.6111, "Acc.arcade machine": 0.6044, "Acc.hovel": 0.2202, "Acc.bus": 0.9577, "Acc.towel": 0.8275, "Acc.light": 0.6686, "Acc.truck": 0.461, "Acc.tower": 0.3987, "Acc.chandelier": 0.8254, "Acc.awning": 0.3047, "Acc.streetlight": 0.2707, "Acc.booth": 0.6999, "Acc.television receiver": NaN, "Acc.airplane": 0.6615, "Acc.dirt track": 0.429, "Acc.apparel": 0.4732, "Acc.pole": 0.2195, "Acc.land": 0.0655, "Acc.bannister": 0.1237, "Acc.escalator": 0.3227, "Acc.ottoman": 0.5268, "Acc.bottle": NaN, "Acc.buffet": 0.6345, "Acc.poster": 0.4144, "Acc.stage": 0.2191, "Acc.van": 0.5304, "Acc.ship": 0.9343, "Acc.fountain": 0.2971, "Acc.conveyer belt": 0.9184, "Acc.canopy": 0.1729, "Acc.washer": 0.7648, "Acc.plaything": 0.3858, "Acc.swimming pool": 0.8794, "Acc.stool": 0.5573, "Acc.barrel": 0.9722, "Acc.basket": 0.423, "Acc.waterfall": 0.8888, "Acc.tent": 0.9771, "Acc.bag": 0.1203, "Acc.minibike": 0.8808, "Acc.cradle": NaN, "Acc.oven": 0.5534, "Acc.ball": 0.4748, "Acc.food": 0.3942, "Acc.step": 0.0749, "Acc.tank": 0.6648, "Acc.trade name": 0.3456, "Acc.microwave": 0.8601, "Acc.pot": 0.5825, "Acc.animal": NaN, "Acc.bicycle": 0.7428, "Acc.lake": 0.6364, "Acc.dishwasher": 0.6428, "Acc.screen": 0.8207, "Acc.blanket": 0.1617, "Acc.sculpture": 0.7759, "Acc.hood": 0.6656, "Acc.sconce": 0.6136, "Acc.vase": 0.5206, "Acc.traffic light": 0.4419, "Acc.tray": 0.2401, "Acc.ashcan": 0.5207, "Acc.fan": 0.7163, "Acc.pier": 0.606, "Acc.crt screen": 0.146, "Acc.plate": 0.6847, "Acc.monitor": 0.0925, "Acc.bulletin board": 0.433, "Acc.shower": 0.0507, "Acc.radiator": 0.7407, "Acc.glass": 0.1431, "Acc.clock": 0.3598, "Acc.flag": 0.365} +{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 22752, "data_time": 1.62375, "decode.loss_seg": 0.15501, "decode.acc_seg": 76.42932, "aux.loss_seg": 0.0827, "aux.acc_seg": 75.02577, "loss": 0.23771, "time": 2.28572} +{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.14696, "decode.acc_seg": 75.29061, "aux.loss_seg": 0.07808, "aux.acc_seg": 73.96632, "loss": 0.22504, "time": 0.66008} +{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.13766, "decode.acc_seg": 74.35905, "aux.loss_seg": 0.07348, "aux.acc_seg": 73.11402, "loss": 0.21114, "time": 0.64533} +{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.14876, "decode.acc_seg": 75.37554, "aux.loss_seg": 0.08082, "aux.acc_seg": 73.90561, "loss": 0.22958, "time": 0.66047} +{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.14451, "decode.acc_seg": 76.98511, "aux.loss_seg": 0.07911, "aux.acc_seg": 75.55867, "loss": 0.22363, "time": 0.6567} +{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.14247, "decode.acc_seg": 76.32538, "aux.loss_seg": 0.07738, "aux.acc_seg": 74.96624, "loss": 0.21985, "time": 0.67839} +{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.13822, "decode.acc_seg": 74.62874, "aux.loss_seg": 0.07352, "aux.acc_seg": 73.34591, "loss": 0.21174, "time": 0.67317} +{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.14306, "decode.acc_seg": 76.16204, "aux.loss_seg": 0.0762, "aux.acc_seg": 74.87644, "loss": 0.21926, "time": 0.65981} +{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.77244, "aux.loss_seg": 0.07798, "aux.acc_seg": 74.34127, "loss": 0.2217, "time": 0.64026} +{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.14057, "decode.acc_seg": 75.30177, "aux.loss_seg": 0.07601, "aux.acc_seg": 74.00848, "loss": 0.21657, "time": 0.63975} +{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14352, "decode.acc_seg": 75.35273, "aux.loss_seg": 0.07682, "aux.acc_seg": 74.04454, "loss": 0.22035, "time": 0.65375} +{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14548, "decode.acc_seg": 77.10011, "aux.loss_seg": 0.07869, "aux.acc_seg": 75.7713, "loss": 0.22416, "time": 0.66611} +{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.15828, "decode.acc_seg": 76.23355, "aux.loss_seg": 0.08441, "aux.acc_seg": 74.86289, "loss": 0.24269, "time": 0.66709} +{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14458, "decode.acc_seg": 75.69086, "aux.loss_seg": 0.07732, "aux.acc_seg": 74.40826, "loss": 0.2219, "time": 0.63962} +{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.14676, "decode.acc_seg": 76.27697, "aux.loss_seg": 0.07856, "aux.acc_seg": 75.02656, "loss": 0.22531, "time": 0.65531} +{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14668, "decode.acc_seg": 75.33027, "aux.loss_seg": 0.07678, "aux.acc_seg": 74.06353, "loss": 0.22346, "time": 0.67447} +{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.14411, "decode.acc_seg": 76.00263, "aux.loss_seg": 0.07843, "aux.acc_seg": 74.60543, "loss": 0.22254, "time": 0.66301} +{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.14447, "decode.acc_seg": 75.80085, "aux.loss_seg": 0.07792, "aux.acc_seg": 74.43917, "loss": 0.22239, "time": 0.64627} +{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.1465, "decode.acc_seg": 76.79978, "aux.loss_seg": 0.07783, "aux.acc_seg": 75.54433, "loss": 0.22433, "time": 0.66999} +{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.15011, "decode.acc_seg": 76.19258, "aux.loss_seg": 0.07888, "aux.acc_seg": 74.84907, "loss": 0.22899, "time": 0.67688} +{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.1437, "decode.acc_seg": 76.21116, "aux.loss_seg": 0.07717, "aux.acc_seg": 74.88341, "loss": 0.22087, "time": 0.64011} +{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.15199, "decode.acc_seg": 75.47147, "aux.loss_seg": 0.08166, "aux.acc_seg": 74.12893, "loss": 0.23365, "time": 0.67539} +{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.14194, "decode.acc_seg": 76.47239, "aux.loss_seg": 0.07592, "aux.acc_seg": 75.19637, "loss": 0.21786, "time": 0.66746} +{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.14862, "decode.acc_seg": 77.21582, "aux.loss_seg": 0.07913, "aux.acc_seg": 75.84203, "loss": 0.22775, "time": 0.67558} +{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 22752, "data_time": 0.23627, "decode.loss_seg": 0.13633, "decode.acc_seg": 76.04144, "aux.loss_seg": 0.07287, "aux.acc_seg": 74.76034, "loss": 0.20919, "time": 0.88306} +{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14432, "decode.acc_seg": 75.90377, "aux.loss_seg": 0.07898, "aux.acc_seg": 74.45868, "loss": 0.2233, "time": 0.64963} +{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.1551, "decode.acc_seg": 76.64484, "aux.loss_seg": 0.08237, "aux.acc_seg": 75.24063, "loss": 0.23747, "time": 0.66768} +{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.14439, "decode.acc_seg": 75.48862, "aux.loss_seg": 0.07817, "aux.acc_seg": 74.0884, "loss": 0.22257, "time": 0.66977} +{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.14111, "decode.acc_seg": 75.89944, "aux.loss_seg": 0.07749, "aux.acc_seg": 74.5477, "loss": 0.21859, "time": 0.66227} +{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.14368, "decode.acc_seg": 75.73189, "aux.loss_seg": 0.07563, "aux.acc_seg": 74.47537, "loss": 0.21931, "time": 0.66363} +{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.15226, "decode.acc_seg": 77.3397, "aux.loss_seg": 0.08168, "aux.acc_seg": 75.93095, "loss": 0.23393, "time": 0.66187} +{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.14456, "decode.acc_seg": 75.06136, "aux.loss_seg": 0.07855, "aux.acc_seg": 73.62881, "loss": 0.22311, "time": 0.67019} +{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.14061, "decode.acc_seg": 76.85255, "aux.loss_seg": 0.0758, "aux.acc_seg": 75.53506, "loss": 0.21641, "time": 0.65872} +{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.15245, "decode.acc_seg": 76.42945, "aux.loss_seg": 0.08082, "aux.acc_seg": 75.11215, "loss": 0.23328, "time": 0.65954} +{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.15384, "decode.acc_seg": 75.15426, "aux.loss_seg": 0.08193, "aux.acc_seg": 73.73261, "loss": 0.23577, "time": 0.67365} +{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14833, "decode.acc_seg": 76.5742, "aux.loss_seg": 0.07869, "aux.acc_seg": 75.19274, "loss": 0.22703, "time": 0.65655} +{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.14967, "decode.acc_seg": 76.02417, "aux.loss_seg": 0.079, "aux.acc_seg": 74.74731, "loss": 0.22867, "time": 0.67175} +{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.15403, "decode.acc_seg": 77.22263, "aux.loss_seg": 0.07912, "aux.acc_seg": 75.90441, "loss": 0.23315, "time": 0.67635} +{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.14495, "decode.acc_seg": 76.13923, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.73999, "loss": 0.22404, "time": 0.67588} +{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.1465, "decode.acc_seg": 74.85203, "aux.loss_seg": 0.07757, "aux.acc_seg": 73.60256, "loss": 0.22407, "time": 0.64989} +{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.13597, "decode.acc_seg": 73.40575, "aux.loss_seg": 0.07314, "aux.acc_seg": 72.14083, "loss": 0.20911, "time": 0.64368} +{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.15114, "decode.acc_seg": 75.49588, "aux.loss_seg": 0.08095, "aux.acc_seg": 74.07688, "loss": 0.23209, "time": 0.65132} +{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.14567, "decode.acc_seg": 75.51384, "aux.loss_seg": 0.07835, "aux.acc_seg": 74.15248, "loss": 0.22402, "time": 0.63576} +{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.15043, "decode.acc_seg": 76.56188, "aux.loss_seg": 0.08086, "aux.acc_seg": 75.16977, "loss": 0.2313, "time": 0.68016} +{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.14665, "decode.acc_seg": 74.67467, "aux.loss_seg": 0.07834, "aux.acc_seg": 73.32652, "loss": 0.22499, "time": 0.66696} +{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.15619, "decode.acc_seg": 76.12979, "aux.loss_seg": 0.08309, "aux.acc_seg": 74.71478, "loss": 0.23928, "time": 0.65686} +{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14362, "decode.acc_seg": 75.08333, "aux.loss_seg": 0.07767, "aux.acc_seg": 73.74903, "loss": 0.22129, "time": 0.68026} +{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.13523, "decode.acc_seg": 75.43684, "aux.loss_seg": 0.0733, "aux.acc_seg": 74.15919, "loss": 0.20853, "time": 0.64985} +{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.14327, "decode.acc_seg": 75.28264, "aux.loss_seg": 0.07639, "aux.acc_seg": 73.98648, "loss": 0.21967, "time": 0.67406} +{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.14051, "decode.acc_seg": 75.58834, "aux.loss_seg": 0.07583, "aux.acc_seg": 74.27121, "loss": 0.21634, "time": 0.65648} +{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 22752, "data_time": 0.23349, "decode.loss_seg": 0.14026, "decode.acc_seg": 75.33401, "aux.loss_seg": 0.07606, "aux.acc_seg": 73.90858, "loss": 0.21632, "time": 0.90023} +{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.14235, "decode.acc_seg": 76.44662, "aux.loss_seg": 0.07698, "aux.acc_seg": 75.13235, "loss": 0.21933, "time": 0.67381} +{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.14884, "decode.acc_seg": 76.21808, "aux.loss_seg": 0.08001, "aux.acc_seg": 74.8234, "loss": 0.22885, "time": 0.65555} +{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.14504, "decode.acc_seg": 75.62404, "aux.loss_seg": 0.07816, "aux.acc_seg": 74.24037, "loss": 0.2232, "time": 0.67307} +{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.14923, "decode.acc_seg": 76.18553, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.80311, "loss": 0.22827, "time": 0.67141} +{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.13852, "decode.acc_seg": 75.99578, "aux.loss_seg": 0.07436, "aux.acc_seg": 74.71769, "loss": 0.21288, "time": 0.67815} +{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.14325, "decode.acc_seg": 75.31086, "aux.loss_seg": 0.07826, "aux.acc_seg": 73.84497, "loss": 0.22151, "time": 0.67053} +{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.12875, "decode.acc_seg": 75.22686, "aux.loss_seg": 0.06972, "aux.acc_seg": 73.94425, "loss": 0.19847, "time": 0.64352} +{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.14211, "decode.acc_seg": 75.49074, "aux.loss_seg": 0.07731, "aux.acc_seg": 74.06169, "loss": 0.21942, "time": 0.67452} +{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.13812, "decode.acc_seg": 75.90236, "aux.loss_seg": 0.07519, "aux.acc_seg": 74.5037, "loss": 0.21331, "time": 0.66061} +{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.15119, "decode.acc_seg": 75.53717, "aux.loss_seg": 0.08094, "aux.acc_seg": 74.18141, "loss": 0.23213, "time": 0.6543} +{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14461, "decode.acc_seg": 75.96607, "aux.loss_seg": 0.0773, "aux.acc_seg": 74.66144, "loss": 0.22191, "time": 0.65633} +{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.14061, "decode.acc_seg": 76.5056, "aux.loss_seg": 0.07585, "aux.acc_seg": 75.17367, "loss": 0.21646, "time": 0.67254} +{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.13934, "decode.acc_seg": 76.78618, "aux.loss_seg": 0.07551, "aux.acc_seg": 75.51166, "loss": 0.21485, "time": 0.67166} +{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.14068, "decode.acc_seg": 75.8894, "aux.loss_seg": 0.07576, "aux.acc_seg": 74.53416, "loss": 0.21644, "time": 0.66754} +{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.14235, "decode.acc_seg": 75.64309, "aux.loss_seg": 0.07795, "aux.acc_seg": 74.23425, "loss": 0.2203, "time": 0.6454} +{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15441, "decode.acc_seg": 77.21982, "aux.loss_seg": 0.08317, "aux.acc_seg": 75.70973, "loss": 0.23758, "time": 0.6826} +{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.15314, "decode.acc_seg": 75.84727, "aux.loss_seg": 0.0815, "aux.acc_seg": 74.45728, "loss": 0.23464, "time": 0.64878} +{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.13994, "decode.acc_seg": 75.62177, "aux.loss_seg": 0.07626, "aux.acc_seg": 74.199, "loss": 0.2162, "time": 0.66434} +{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.14334, "decode.acc_seg": 76.0902, "aux.loss_seg": 0.07677, "aux.acc_seg": 74.727, "loss": 0.22011, "time": 0.66123} +{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14452, "decode.acc_seg": 75.94605, "aux.loss_seg": 0.07707, "aux.acc_seg": 74.67917, "loss": 0.22159, "time": 0.67784} +{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.14028, "decode.acc_seg": 76.17846, "aux.loss_seg": 0.076, "aux.acc_seg": 74.8133, "loss": 0.21628, "time": 0.65598} +{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.14762, "decode.acc_seg": 76.29152, "aux.loss_seg": 0.0789, "aux.acc_seg": 74.96216, "loss": 0.22652, "time": 0.67953} +{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.14551, "decode.acc_seg": 76.97121, "aux.loss_seg": 0.07877, "aux.acc_seg": 75.62679, "loss": 0.22428, "time": 0.65155} +{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.14923, "decode.acc_seg": 75.02967, "aux.loss_seg": 0.08017, "aux.acc_seg": 73.69197, "loss": 0.2294, "time": 0.6415} +{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 22752, "data_time": 0.2339, "decode.loss_seg": 0.14568, "decode.acc_seg": 76.96785, "aux.loss_seg": 0.0786, "aux.acc_seg": 75.60379, "loss": 0.22428, "time": 0.89223} +{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.13455, "decode.acc_seg": 76.68494, "aux.loss_seg": 0.07233, "aux.acc_seg": 75.49556, "loss": 0.20687, "time": 0.66839} +{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.13971, "decode.acc_seg": 77.14411, "aux.loss_seg": 0.07631, "aux.acc_seg": 75.79423, "loss": 0.21601, "time": 0.65829} +{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.14954, "decode.acc_seg": 76.57703, "aux.loss_seg": 0.0808, "aux.acc_seg": 75.13195, "loss": 0.23034, "time": 0.64747} +{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14458, "decode.acc_seg": 76.02821, "aux.loss_seg": 0.07715, "aux.acc_seg": 74.76489, "loss": 0.22173, "time": 0.66829} +{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14153, "decode.acc_seg": 75.47389, "aux.loss_seg": 0.07827, "aux.acc_seg": 73.98105, "loss": 0.2198, "time": 0.66062} +{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.14002, "decode.acc_seg": 75.23201, "aux.loss_seg": 0.07486, "aux.acc_seg": 73.94137, "loss": 0.21488, "time": 0.66919} +{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.14365, "decode.acc_seg": 75.09539, "aux.loss_seg": 0.07635, "aux.acc_seg": 73.78211, "loss": 0.21999, "time": 0.66593} +{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.14243, "decode.acc_seg": 76.07577, "aux.loss_seg": 0.07606, "aux.acc_seg": 74.78604, "loss": 0.21848, "time": 0.66872} +{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.14009, "decode.acc_seg": 76.6656, "aux.loss_seg": 0.07564, "aux.acc_seg": 75.26571, "loss": 0.21573, "time": 0.67559} +{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.14299, "decode.acc_seg": 77.24304, "aux.loss_seg": 0.07718, "aux.acc_seg": 75.9431, "loss": 0.22017, "time": 0.66049} +{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.14092, "decode.acc_seg": 76.94225, "aux.loss_seg": 0.07606, "aux.acc_seg": 75.63935, "loss": 0.21698, "time": 0.65765} +{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.1528, "decode.acc_seg": 75.28659, "aux.loss_seg": 0.08234, "aux.acc_seg": 73.88921, "loss": 0.23514, "time": 0.66635} +{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.14834, "decode.acc_seg": 75.76005, "aux.loss_seg": 0.07955, "aux.acc_seg": 74.35599, "loss": 0.22789, "time": 0.64763} +{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.13561, "decode.acc_seg": 75.66195, "aux.loss_seg": 0.07316, "aux.acc_seg": 74.39039, "loss": 0.20877, "time": 0.64051} +{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.14327, "decode.acc_seg": 76.84664, "aux.loss_seg": 0.07722, "aux.acc_seg": 75.51333, "loss": 0.22049, "time": 0.65443} +{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.14682, "decode.acc_seg": 74.82773, "aux.loss_seg": 0.07819, "aux.acc_seg": 73.48064, "loss": 0.22501, "time": 0.65603} +{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.14702, "decode.acc_seg": 76.70386, "aux.loss_seg": 0.07847, "aux.acc_seg": 75.38914, "loss": 0.22549, "time": 0.65992} +{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14392, "decode.acc_seg": 74.39843, "aux.loss_seg": 0.07764, "aux.acc_seg": 72.99799, "loss": 0.22156, "time": 0.65506} +{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 22752, "data_time": 0.01072, "decode.loss_seg": 0.14103, "decode.acc_seg": 75.4729, "aux.loss_seg": 0.0764, "aux.acc_seg": 74.15056, "loss": 0.21743, "time": 0.68331} +{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14985, "decode.acc_seg": 75.78541, "aux.loss_seg": 0.08088, "aux.acc_seg": 74.42282, "loss": 0.23073, "time": 0.65481} +{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.14877, "decode.acc_seg": 74.50608, "aux.loss_seg": 0.07978, "aux.acc_seg": 73.13292, "loss": 0.22855, "time": 0.67991} +{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14225, "decode.acc_seg": 75.27361, "aux.loss_seg": 0.0772, "aux.acc_seg": 73.94643, "loss": 0.21945, "time": 0.66566} +{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.14447, "decode.acc_seg": 76.55517, "aux.loss_seg": 0.07742, "aux.acc_seg": 75.26732, "loss": 0.22189, "time": 0.65667} +{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.13348, "decode.acc_seg": 74.40014, "aux.loss_seg": 0.07336, "aux.acc_seg": 73.00399, "loss": 0.20684, "time": 0.67758} +{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 22752, "data_time": 0.22887, "decode.loss_seg": 0.14072, "decode.acc_seg": 76.98564, "aux.loss_seg": 0.07498, "aux.acc_seg": 75.71249, "loss": 0.2157, "time": 0.87953} +{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14443, "decode.acc_seg": 73.63156, "aux.loss_seg": 0.07763, "aux.acc_seg": 72.28033, "loss": 0.22206, "time": 0.65258} +{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.14496, "decode.acc_seg": 74.30081, "aux.loss_seg": 0.07739, "aux.acc_seg": 73.04803, "loss": 0.22235, "time": 0.66725} +{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.14252, "decode.acc_seg": 74.23456, "aux.loss_seg": 0.07559, "aux.acc_seg": 72.96671, "loss": 0.21812, "time": 0.64256} +{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.15077, "decode.acc_seg": 76.22484, "aux.loss_seg": 0.08264, "aux.acc_seg": 74.6899, "loss": 0.23341, "time": 0.66778} +{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.14108, "decode.acc_seg": 75.78518, "aux.loss_seg": 0.07521, "aux.acc_seg": 74.47238, "loss": 0.21629, "time": 0.67475} +{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.13763, "decode.acc_seg": 75.47903, "aux.loss_seg": 0.07437, "aux.acc_seg": 74.15944, "loss": 0.212, "time": 0.67884} +{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.13512, "decode.acc_seg": 76.33032, "aux.loss_seg": 0.0722, "aux.acc_seg": 75.09382, "loss": 0.20731, "time": 0.66991} +{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.14947, "decode.acc_seg": 77.19835, "aux.loss_seg": 0.08057, "aux.acc_seg": 75.77117, "loss": 0.23004, "time": 0.68265} +{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.1395, "decode.acc_seg": 76.56962, "aux.loss_seg": 0.07441, "aux.acc_seg": 75.26779, "loss": 0.2139, "time": 0.65601} +{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.13687, "decode.acc_seg": 76.11149, "aux.loss_seg": 0.07391, "aux.acc_seg": 74.85954, "loss": 0.21078, "time": 0.65579} +{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.1466, "decode.acc_seg": 77.10408, "aux.loss_seg": 0.07939, "aux.acc_seg": 75.72281, "loss": 0.22599, "time": 0.66342} +{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.13774, "decode.acc_seg": 75.83643, "aux.loss_seg": 0.07459, "aux.acc_seg": 74.55325, "loss": 0.21233, "time": 0.66106} +{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.1452, "decode.acc_seg": 77.22937, "aux.loss_seg": 0.0773, "aux.acc_seg": 75.97763, "loss": 0.2225, "time": 0.67152} +{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14964, "decode.acc_seg": 75.89084, "aux.loss_seg": 0.07906, "aux.acc_seg": 74.56176, "loss": 0.2287, "time": 0.6555} +{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.14045, "decode.acc_seg": 75.51039, "aux.loss_seg": 0.07642, "aux.acc_seg": 74.14482, "loss": 0.21687, "time": 0.66919} +{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.14016, "decode.acc_seg": 76.28539, "aux.loss_seg": 0.07549, "aux.acc_seg": 74.96573, "loss": 0.21565, "time": 0.67307} +{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.14082, "decode.acc_seg": 75.88155, "aux.loss_seg": 0.0757, "aux.acc_seg": 74.58961, "loss": 0.21652, "time": 0.67773} +{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.14418, "decode.acc_seg": 75.87766, "aux.loss_seg": 0.07745, "aux.acc_seg": 74.54111, "loss": 0.22163, "time": 0.66626} +{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 22752, "data_time": 0.00974, "decode.loss_seg": 0.14082, "decode.acc_seg": 75.6034, "aux.loss_seg": 0.07511, "aux.acc_seg": 74.35439, "loss": 0.21594, "time": 0.67682} +{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.14347, "decode.acc_seg": 76.91682, "aux.loss_seg": 0.07899, "aux.acc_seg": 75.45248, "loss": 0.22246, "time": 0.66876} +{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.14367, "decode.acc_seg": 76.38852, "aux.loss_seg": 0.07626, "aux.acc_seg": 75.10267, "loss": 0.21993, "time": 0.67692} +{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1508, "decode.acc_seg": 75.24858, "aux.loss_seg": 0.08, "aux.acc_seg": 73.90386, "loss": 0.23081, "time": 0.65863} +{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.14631, "decode.acc_seg": 76.71582, "aux.loss_seg": 0.07889, "aux.acc_seg": 75.29096, "loss": 0.2252, "time": 0.65803} +{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.14514, "decode.acc_seg": 76.19088, "aux.loss_seg": 0.07821, "aux.acc_seg": 74.84539, "loss": 0.22335, "time": 0.66663} +{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 22752, "data_time": 0.23413, "decode.loss_seg": 0.14664, "decode.acc_seg": 76.42361, "aux.loss_seg": 0.07833, "aux.acc_seg": 75.19539, "loss": 0.22496, "time": 0.886} +{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1376, "decode.acc_seg": 76.05349, "aux.loss_seg": 0.07502, "aux.acc_seg": 74.63494, "loss": 0.21262, "time": 0.64668} +{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.13851, "decode.acc_seg": 75.74811, "aux.loss_seg": 0.07509, "aux.acc_seg": 74.45951, "loss": 0.2136, "time": 0.66799} +{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.13924, "decode.acc_seg": 75.47664, "aux.loss_seg": 0.07501, "aux.acc_seg": 74.14726, "loss": 0.21424, "time": 0.65745} +{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.13392, "decode.acc_seg": 76.66419, "aux.loss_seg": 0.07375, "aux.acc_seg": 75.28437, "loss": 0.20768, "time": 0.657} +{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.13575, "decode.acc_seg": 74.85869, "aux.loss_seg": 0.0728, "aux.acc_seg": 73.47814, "loss": 0.20855, "time": 0.67159} +{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.14329, "decode.acc_seg": 77.21186, "aux.loss_seg": 0.07736, "aux.acc_seg": 75.89318, "loss": 0.22065, "time": 0.68415} +{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.15354, "decode.acc_seg": 76.27246, "aux.loss_seg": 0.08032, "aux.acc_seg": 74.87313, "loss": 0.23386, "time": 0.67679} +{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 22752, "data_time": 0.01064, "decode.loss_seg": 0.15021, "decode.acc_seg": 76.49317, "aux.loss_seg": 0.08006, "aux.acc_seg": 75.12038, "loss": 0.23027, "time": 0.66657} +{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.14159, "decode.acc_seg": 76.42252, "aux.loss_seg": 0.07468, "aux.acc_seg": 75.2054, "loss": 0.21627, "time": 0.67848} +{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.14763, "decode.acc_seg": 76.54039, "aux.loss_seg": 0.07988, "aux.acc_seg": 75.16944, "loss": 0.22751, "time": 0.67853} +{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.14846, "decode.acc_seg": 75.51405, "aux.loss_seg": 0.07944, "aux.acc_seg": 74.15379, "loss": 0.2279, "time": 0.66467} +{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.14079, "decode.acc_seg": 77.18995, "aux.loss_seg": 0.07663, "aux.acc_seg": 75.8217, "loss": 0.21741, "time": 0.66261} +{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.14224, "decode.acc_seg": 75.82297, "aux.loss_seg": 0.07519, "aux.acc_seg": 74.61064, "loss": 0.21743, "time": 0.67831} +{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.14398, "decode.acc_seg": 76.63658, "aux.loss_seg": 0.07805, "aux.acc_seg": 75.26842, "loss": 0.22203, "time": 0.67436} +{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.14679, "decode.acc_seg": 77.08994, "aux.loss_seg": 0.07841, "aux.acc_seg": 75.76451, "loss": 0.2252, "time": 0.67283} +{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.1482, "decode.acc_seg": 75.73271, "aux.loss_seg": 0.07977, "aux.acc_seg": 74.33225, "loss": 0.22797, "time": 0.67766} +{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.14724, "decode.acc_seg": 76.43912, "aux.loss_seg": 0.07918, "aux.acc_seg": 75.07307, "loss": 0.22643, "time": 0.66289} +{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.14124, "decode.acc_seg": 76.60341, "aux.loss_seg": 0.07444, "aux.acc_seg": 75.3641, "loss": 0.21567, "time": 0.651} +{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.14657, "decode.acc_seg": 75.86477, "aux.loss_seg": 0.0801, "aux.acc_seg": 74.41651, "loss": 0.22667, "time": 0.66183} +{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.15124, "decode.acc_seg": 77.17968, "aux.loss_seg": 0.08069, "aux.acc_seg": 75.82195, "loss": 0.23193, "time": 0.66349} +{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.13802, "decode.acc_seg": 75.06521, "aux.loss_seg": 0.07484, "aux.acc_seg": 73.73812, "loss": 0.21286, "time": 0.6655} +{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.13805, "decode.acc_seg": 75.14379, "aux.loss_seg": 0.07297, "aux.acc_seg": 73.89869, "loss": 0.21102, "time": 0.67716} +{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14268, "decode.acc_seg": 75.67866, "aux.loss_seg": 0.07808, "aux.acc_seg": 74.24302, "loss": 0.22076, "time": 0.67285} +{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.14489, "decode.acc_seg": 75.83967, "aux.loss_seg": 0.07916, "aux.acc_seg": 74.42857, "loss": 0.22405, "time": 0.66212} +{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.14112, "decode.acc_seg": 75.25326, "aux.loss_seg": 0.0766, "aux.acc_seg": 73.92622, "loss": 0.21771, "time": 0.65334} +{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 22752, "data_time": 0.22801, "decode.loss_seg": 0.14047, "decode.acc_seg": 75.96353, "aux.loss_seg": 0.07663, "aux.acc_seg": 74.64016, "loss": 0.2171, "time": 0.88375} +{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.14441, "decode.acc_seg": 76.15908, "aux.loss_seg": 0.07797, "aux.acc_seg": 74.77403, "loss": 0.22238, "time": 0.66965} +{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.14451, "decode.acc_seg": 74.95981, "aux.loss_seg": 0.07715, "aux.acc_seg": 73.69678, "loss": 0.22166, "time": 0.67671} +{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.1451, "decode.acc_seg": 77.51419, "aux.loss_seg": 0.07997, "aux.acc_seg": 76.083, "loss": 0.22506, "time": 0.67647} +{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.13963, "decode.acc_seg": 76.37561, "aux.loss_seg": 0.07501, "aux.acc_seg": 75.06454, "loss": 0.21464, "time": 0.68218} +{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.14193, "decode.acc_seg": 74.95973, "aux.loss_seg": 0.07715, "aux.acc_seg": 73.56793, "loss": 0.21908, "time": 0.66993} +{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.13907, "decode.acc_seg": 75.39785, "aux.loss_seg": 0.07457, "aux.acc_seg": 74.15379, "loss": 0.21363, "time": 0.67763} +{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.13633, "decode.acc_seg": 75.41993, "aux.loss_seg": 0.0738, "aux.acc_seg": 74.09156, "loss": 0.21013, "time": 0.67942} +{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.13649, "decode.acc_seg": 77.84251, "aux.loss_seg": 0.07358, "aux.acc_seg": 76.54227, "loss": 0.21008, "time": 0.6777} +{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.13572, "decode.acc_seg": 76.57043, "aux.loss_seg": 0.07366, "aux.acc_seg": 75.15393, "loss": 0.20939, "time": 0.67323} +{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.13922, "decode.acc_seg": 75.62776, "aux.loss_seg": 0.07464, "aux.acc_seg": 74.32734, "loss": 0.21386, "time": 0.67506} +{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.13327, "decode.acc_seg": 76.66266, "aux.loss_seg": 0.07339, "aux.acc_seg": 75.24395, "loss": 0.20666, "time": 0.67936} +{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.13798, "decode.acc_seg": 76.24067, "aux.loss_seg": 0.07417, "aux.acc_seg": 74.96014, "loss": 0.21215, "time": 0.65685} +{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14192, "decode.acc_seg": 77.12523, "aux.loss_seg": 0.07686, "aux.acc_seg": 75.70472, "loss": 0.21878, "time": 0.64458} +{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.15172, "decode.acc_seg": 76.1852, "aux.loss_seg": 0.08209, "aux.acc_seg": 74.79034, "loss": 0.23381, "time": 0.67038} +{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 22752, "data_time": 0.01035, "decode.loss_seg": 0.14576, "decode.acc_seg": 75.76131, "aux.loss_seg": 0.07905, "aux.acc_seg": 74.34363, "loss": 0.22481, "time": 0.66844} +{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 22752, "data_time": 0.01032, "decode.loss_seg": 0.13969, "decode.acc_seg": 76.28409, "aux.loss_seg": 0.07607, "aux.acc_seg": 74.92837, "loss": 0.21576, "time": 0.67813} +{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.14632, "decode.acc_seg": 75.87482, "aux.loss_seg": 0.07823, "aux.acc_seg": 74.56265, "loss": 0.22455, "time": 0.6737} +{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.1424, "decode.acc_seg": 75.79506, "aux.loss_seg": 0.07754, "aux.acc_seg": 74.35631, "loss": 0.21994, "time": 0.6567} +{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 22752, "data_time": 0.01073, "decode.loss_seg": 0.14238, "decode.acc_seg": 75.35842, "aux.loss_seg": 0.07597, "aux.acc_seg": 74.05795, "loss": 0.21835, "time": 0.66807} +{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.31254, "aux.loss_seg": 0.07833, "aux.acc_seg": 73.98137, "loss": 0.22255, "time": 0.67947} +{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.14513, "decode.acc_seg": 77.77203, "aux.loss_seg": 0.07883, "aux.acc_seg": 76.38604, "loss": 0.22396, "time": 0.66864} +{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.21323, "aux.loss_seg": 0.07829, "aux.acc_seg": 73.87153, "loss": 0.22201, "time": 0.64662} +{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.13502, "decode.acc_seg": 76.42416, "aux.loss_seg": 0.07222, "aux.acc_seg": 75.19134, "loss": 0.20724, "time": 0.66992} +{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.13807, "decode.acc_seg": 75.80013, "aux.loss_seg": 0.07414, "aux.acc_seg": 74.50975, "loss": 0.21221, "time": 0.656} +{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 22752, "data_time": 0.2336, "decode.loss_seg": 0.14707, "decode.acc_seg": 76.1352, "aux.loss_seg": 0.07609, "aux.acc_seg": 75.00251, "loss": 0.22316, "time": 0.89316} +{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.14015, "decode.acc_seg": 75.65521, "aux.loss_seg": 0.07612, "aux.acc_seg": 74.32035, "loss": 0.21627, "time": 0.67515} +{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 22752, "data_time": 0.0109, "decode.loss_seg": 0.13238, "decode.acc_seg": 76.87816, "aux.loss_seg": 0.07168, "aux.acc_seg": 75.5949, "loss": 0.20407, "time": 0.66035} +{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 22752, "data_time": 0.01103, "decode.loss_seg": 0.14549, "decode.acc_seg": 76.48278, "aux.loss_seg": 0.08004, "aux.acc_seg": 74.94994, "loss": 0.22553, "time": 0.67184} +{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.13394, "decode.acc_seg": 75.54837, "aux.loss_seg": 0.07327, "aux.acc_seg": 74.14142, "loss": 0.2072, "time": 0.67312} +{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14123, "decode.acc_seg": 75.36572, "aux.loss_seg": 0.07697, "aux.acc_seg": 73.99451, "loss": 0.21819, "time": 0.66098} +{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.13532, "decode.acc_seg": 76.14456, "aux.loss_seg": 0.07364, "aux.acc_seg": 74.79388, "loss": 0.20896, "time": 0.664} +{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.13632, "decode.acc_seg": 76.64898, "aux.loss_seg": 0.07397, "aux.acc_seg": 75.39391, "loss": 0.21028, "time": 0.6639} +{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.13966, "decode.acc_seg": 75.59662, "aux.loss_seg": 0.07524, "aux.acc_seg": 74.24258, "loss": 0.2149, "time": 0.67523} +{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 22752, "data_time": 0.01068, "decode.loss_seg": 0.13618, "decode.acc_seg": 76.85548, "aux.loss_seg": 0.07326, "aux.acc_seg": 75.60609, "loss": 0.20943, "time": 0.67855} +{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.13809, "decode.acc_seg": 75.99022, "aux.loss_seg": 0.0745, "aux.acc_seg": 74.76524, "loss": 0.21259, "time": 0.66053} +{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.14648, "decode.acc_seg": 74.88027, "aux.loss_seg": 0.07706, "aux.acc_seg": 73.60775, "loss": 0.22354, "time": 0.67121} +{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.14155, "decode.acc_seg": 75.59507, "aux.loss_seg": 0.07646, "aux.acc_seg": 74.23108, "loss": 0.21801, "time": 0.67073} +{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14336, "decode.acc_seg": 74.80012, "aux.loss_seg": 0.07722, "aux.acc_seg": 73.42697, "loss": 0.22059, "time": 0.65085} +{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.13714, "decode.acc_seg": 75.35267, "aux.loss_seg": 0.07424, "aux.acc_seg": 74.03116, "loss": 0.21138, "time": 0.65506} +{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.14048, "decode.acc_seg": 76.48104, "aux.loss_seg": 0.07574, "aux.acc_seg": 75.18702, "loss": 0.21622, "time": 0.65614} +{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 22752, "data_time": 0.01063, "decode.loss_seg": 0.14532, "decode.acc_seg": 76.84273, "aux.loss_seg": 0.07838, "aux.acc_seg": 75.46476, "loss": 0.22371, "time": 0.66952} +{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.13936, "decode.acc_seg": 75.84025, "aux.loss_seg": 0.07512, "aux.acc_seg": 74.52171, "loss": 0.21447, "time": 0.6516} +{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 22752, "data_time": 0.00981, "decode.loss_seg": 0.14469, "decode.acc_seg": 75.17451, "aux.loss_seg": 0.0779, "aux.acc_seg": 73.7931, "loss": 0.22258, "time": 0.67362} +{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.13879, "decode.acc_seg": 77.26343, "aux.loss_seg": 0.07534, "aux.acc_seg": 75.9625, "loss": 0.21412, "time": 0.67353} +{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.14879, "decode.acc_seg": 76.73806, "aux.loss_seg": 0.07954, "aux.acc_seg": 75.41097, "loss": 0.22834, "time": 0.67106} +{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14442, "decode.acc_seg": 76.90824, "aux.loss_seg": 0.07758, "aux.acc_seg": 75.63899, "loss": 0.22201, "time": 0.67049} +{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.14352, "decode.acc_seg": 76.27964, "aux.loss_seg": 0.07774, "aux.acc_seg": 74.89557, "loss": 0.22126, "time": 0.6556} +{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.14559, "decode.acc_seg": 76.53188, "aux.loss_seg": 0.07921, "aux.acc_seg": 75.12138, "loss": 0.22479, "time": 0.66271} +{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.14383, "decode.acc_seg": 76.11423, "aux.loss_seg": 0.07689, "aux.acc_seg": 74.82352, "loss": 0.22072, "time": 0.66781} +{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 22752, "data_time": 0.23082, "decode.loss_seg": 0.14668, "decode.acc_seg": 77.26316, "aux.loss_seg": 0.07866, "aux.acc_seg": 75.9008, "loss": 0.22534, "time": 0.87495} +{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.13473, "decode.acc_seg": 76.57006, "aux.loss_seg": 0.07342, "aux.acc_seg": 75.23737, "loss": 0.20815, "time": 0.65742} +{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.14326, "decode.acc_seg": 74.43058, "aux.loss_seg": 0.07612, "aux.acc_seg": 73.10567, "loss": 0.21937, "time": 0.6674} +{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.14304, "decode.acc_seg": 76.33649, "aux.loss_seg": 0.07764, "aux.acc_seg": 74.96245, "loss": 0.22069, "time": 0.67287} +{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.13984, "decode.acc_seg": 75.11077, "aux.loss_seg": 0.07591, "aux.acc_seg": 73.80967, "loss": 0.21575, "time": 0.66983} +{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.14266, "decode.acc_seg": 75.05782, "aux.loss_seg": 0.07707, "aux.acc_seg": 73.71597, "loss": 0.21974, "time": 0.68295} +{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.13847, "decode.acc_seg": 76.45091, "aux.loss_seg": 0.07545, "aux.acc_seg": 75.07597, "loss": 0.21392, "time": 0.67269} +{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.13915, "decode.acc_seg": 76.35895, "aux.loss_seg": 0.0747, "aux.acc_seg": 75.06756, "loss": 0.21385, "time": 0.66704} +{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.13688, "decode.acc_seg": 76.15375, "aux.loss_seg": 0.07336, "aux.acc_seg": 74.85868, "loss": 0.21024, "time": 0.66357} +{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.13925, "decode.acc_seg": 75.66804, "aux.loss_seg": 0.07569, "aux.acc_seg": 74.35592, "loss": 0.21494, "time": 0.66583} +{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.14654, "decode.acc_seg": 75.94376, "aux.loss_seg": 0.07949, "aux.acc_seg": 74.58219, "loss": 0.22603, "time": 0.67495} +{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.14185, "decode.acc_seg": 76.31495, "aux.loss_seg": 0.07603, "aux.acc_seg": 74.9949, "loss": 0.21788, "time": 0.66852} +{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.1512, "decode.acc_seg": 74.92883, "aux.loss_seg": 0.08065, "aux.acc_seg": 73.51308, "loss": 0.23186, "time": 0.67169} +{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.13538, "decode.acc_seg": 76.7447, "aux.loss_seg": 0.07301, "aux.acc_seg": 75.4714, "loss": 0.20838, "time": 0.68051} +{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.13828, "decode.acc_seg": 75.7733, "aux.loss_seg": 0.07414, "aux.acc_seg": 74.57037, "loss": 0.21242, "time": 0.66607} +{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.145, "decode.acc_seg": 76.75039, "aux.loss_seg": 0.07747, "aux.acc_seg": 75.42058, "loss": 0.22246, "time": 0.67368} +{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.13425, "decode.acc_seg": 76.73272, "aux.loss_seg": 0.07201, "aux.acc_seg": 75.47275, "loss": 0.20625, "time": 0.66977} +{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.13896, "decode.acc_seg": 75.89534, "aux.loss_seg": 0.07601, "aux.acc_seg": 74.51997, "loss": 0.21497, "time": 0.66415} +{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.13745, "decode.acc_seg": 76.15719, "aux.loss_seg": 0.07484, "aux.acc_seg": 74.85413, "loss": 0.21229, "time": 0.65605} +{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.14262, "decode.acc_seg": 76.97053, "aux.loss_seg": 0.07555, "aux.acc_seg": 75.74354, "loss": 0.21817, "time": 0.66664} +{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.14128, "decode.acc_seg": 76.32972, "aux.loss_seg": 0.07663, "aux.acc_seg": 75.00831, "loss": 0.2179, "time": 0.65906} +{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 22752, "data_time": 0.01127, "decode.loss_seg": 0.13557, "decode.acc_seg": 76.4218, "aux.loss_seg": 0.07442, "aux.acc_seg": 75.02953, "loss": 0.21, "time": 0.67712} +{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 22752, "data_time": 0.01139, "decode.loss_seg": 0.13956, "decode.acc_seg": 75.91297, "aux.loss_seg": 0.07618, "aux.acc_seg": 74.53175, "loss": 0.21573, "time": 0.67294} +{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 22752, "data_time": 0.0117, "decode.loss_seg": 0.1451, "decode.acc_seg": 75.15473, "aux.loss_seg": 0.07834, "aux.acc_seg": 73.81513, "loss": 0.22344, "time": 0.67196} +{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.1449, "decode.acc_seg": 77.19474, "aux.loss_seg": 0.07896, "aux.acc_seg": 75.79586, "loss": 0.22386, "time": 0.67737} +{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 22752, "data_time": 0.23142, "decode.loss_seg": 0.14155, "decode.acc_seg": 75.23122, "aux.loss_seg": 0.07742, "aux.acc_seg": 73.89089, "loss": 0.21897, "time": 0.89345} +{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 22752, "data_time": 0.01058, "decode.loss_seg": 0.14391, "decode.acc_seg": 76.55271, "aux.loss_seg": 0.07753, "aux.acc_seg": 75.18118, "loss": 0.22144, "time": 0.65923} +{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 22752, "data_time": 0.01121, "decode.loss_seg": 0.14124, "decode.acc_seg": 77.72519, "aux.loss_seg": 0.07525, "aux.acc_seg": 76.43765, "loss": 0.21649, "time": 0.67221} +{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.13708, "decode.acc_seg": 74.99373, "aux.loss_seg": 0.07419, "aux.acc_seg": 73.71297, "loss": 0.21126, "time": 0.65523} +{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14782, "decode.acc_seg": 76.73794, "aux.loss_seg": 0.07982, "aux.acc_seg": 75.2725, "loss": 0.22764, "time": 0.67308} +{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.13206, "decode.acc_seg": 75.2883, "aux.loss_seg": 0.07162, "aux.acc_seg": 74.0396, "loss": 0.20368, "time": 0.65045} +{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.13652, "decode.acc_seg": 75.6409, "aux.loss_seg": 0.07473, "aux.acc_seg": 74.29113, "loss": 0.21124, "time": 0.68242} +{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 22752, "data_time": 0.01089, "decode.loss_seg": 0.14734, "decode.acc_seg": 74.88482, "aux.loss_seg": 0.07921, "aux.acc_seg": 73.50315, "loss": 0.22656, "time": 0.68959} +{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.15263, "decode.acc_seg": 76.22226, "aux.loss_seg": 0.08076, "aux.acc_seg": 74.92907, "loss": 0.2334, "time": 0.67765} +{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.13899, "decode.acc_seg": 76.78795, "aux.loss_seg": 0.07444, "aux.acc_seg": 75.53857, "loss": 0.21343, "time": 0.67497} +{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.13998, "decode.acc_seg": 74.94176, "aux.loss_seg": 0.07573, "aux.acc_seg": 73.48495, "loss": 0.21571, "time": 0.66084} +{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.14069, "decode.acc_seg": 75.60325, "aux.loss_seg": 0.07675, "aux.acc_seg": 74.1838, "loss": 0.21744, "time": 0.66866} +{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.14443, "decode.acc_seg": 74.65739, "aux.loss_seg": 0.07769, "aux.acc_seg": 73.28801, "loss": 0.22211, "time": 0.66933} +{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 22752, "data_time": 0.01046, "decode.loss_seg": 0.13917, "decode.acc_seg": 75.69016, "aux.loss_seg": 0.07599, "aux.acc_seg": 74.25415, "loss": 0.21517, "time": 0.66805} +{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.13839, "decode.acc_seg": 75.25727, "aux.loss_seg": 0.07453, "aux.acc_seg": 74.00045, "loss": 0.21292, "time": 0.67791} +{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.13802, "decode.acc_seg": 75.57505, "aux.loss_seg": 0.07314, "aux.acc_seg": 74.3212, "loss": 0.21116, "time": 0.6791} +{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.12949, "decode.acc_seg": 76.20101, "aux.loss_seg": 0.07029, "aux.acc_seg": 74.95636, "loss": 0.19978, "time": 0.66911} +{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.1437, "decode.acc_seg": 77.04637, "aux.loss_seg": 0.07647, "aux.acc_seg": 75.64541, "loss": 0.22017, "time": 0.67045} +{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14904, "decode.acc_seg": 75.81813, "aux.loss_seg": 0.08085, "aux.acc_seg": 74.37292, "loss": 0.2299, "time": 0.67192} +{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.14264, "decode.acc_seg": 75.93014, "aux.loss_seg": 0.07726, "aux.acc_seg": 74.58056, "loss": 0.21991, "time": 0.66719} +{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.13054, "decode.acc_seg": 75.95635, "aux.loss_seg": 0.07097, "aux.acc_seg": 74.65672, "loss": 0.20151, "time": 0.66359} +{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.13354, "decode.acc_seg": 76.22669, "aux.loss_seg": 0.0733, "aux.acc_seg": 74.8723, "loss": 0.20684, "time": 0.65918} +{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.14232, "decode.acc_seg": 75.54994, "aux.loss_seg": 0.07828, "aux.acc_seg": 74.13386, "loss": 0.2206, "time": 0.66038} +{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 22752, "data_time": 0.01091, "decode.loss_seg": 0.13786, "decode.acc_seg": 76.10879, "aux.loss_seg": 0.07395, "aux.acc_seg": 74.81125, "loss": 0.21181, "time": 0.6812} +{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14547, "decode.acc_seg": 75.39826, "aux.loss_seg": 0.07922, "aux.acc_seg": 73.95942, "loss": 0.22469, "time": 0.67547} +{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.14271, "decode.acc_seg": 74.8043, "aux.loss_seg": 0.07796, "aux.acc_seg": 73.48953, "loss": 0.22067, "time": 0.6591} +{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 22752, "data_time": 0.22877, "decode.loss_seg": 0.15073, "decode.acc_seg": 76.89614, "aux.loss_seg": 0.08139, "aux.acc_seg": 75.47922, "loss": 0.23212, "time": 0.88927} +{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.13964, "decode.acc_seg": 77.30929, "aux.loss_seg": 0.07576, "aux.acc_seg": 75.9516, "loss": 0.21541, "time": 0.64877} +{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.14386, "decode.acc_seg": 75.127, "aux.loss_seg": 0.07739, "aux.acc_seg": 73.78576, "loss": 0.22126, "time": 0.66967} +{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.13798, "decode.acc_seg": 75.73684, "aux.loss_seg": 0.07445, "aux.acc_seg": 74.41701, "loss": 0.21243, "time": 0.6791} +{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.13998, "decode.acc_seg": 74.09262, "aux.loss_seg": 0.07535, "aux.acc_seg": 72.7506, "loss": 0.21533, "time": 0.66238} +{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.14746, "decode.acc_seg": 75.24963, "aux.loss_seg": 0.07918, "aux.acc_seg": 73.89509, "loss": 0.22663, "time": 0.65132} +{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.13838, "decode.acc_seg": 76.42528, "aux.loss_seg": 0.07402, "aux.acc_seg": 75.25687, "loss": 0.2124, "time": 0.67618} +{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14281, "decode.acc_seg": 74.68445, "aux.loss_seg": 0.07761, "aux.acc_seg": 73.35101, "loss": 0.22042, "time": 0.68171} +{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.14833, "decode.acc_seg": 76.24482, "aux.loss_seg": 0.07928, "aux.acc_seg": 74.87683, "loss": 0.22761, "time": 0.67345} +{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.14458, "decode.acc_seg": 74.68849, "aux.loss_seg": 0.07754, "aux.acc_seg": 73.3526, "loss": 0.22211, "time": 0.66515} +{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.14216, "decode.acc_seg": 75.52496, "aux.loss_seg": 0.07633, "aux.acc_seg": 74.1783, "loss": 0.21849, "time": 0.67607} +{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.13879, "decode.acc_seg": 75.75166, "aux.loss_seg": 0.07586, "aux.acc_seg": 74.41108, "loss": 0.21465, "time": 0.67544} +{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.13425, "decode.acc_seg": 75.57559, "aux.loss_seg": 0.07428, "aux.acc_seg": 74.17891, "loss": 0.20853, "time": 0.66837} +{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.14583, "decode.acc_seg": 76.11078, "aux.loss_seg": 0.0781, "aux.acc_seg": 74.83077, "loss": 0.22393, "time": 0.66175} +{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.13991, "decode.acc_seg": 76.53295, "aux.loss_seg": 0.07528, "aux.acc_seg": 75.19338, "loss": 0.21519, "time": 0.67728} +{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.13894, "decode.acc_seg": 76.90038, "aux.loss_seg": 0.07665, "aux.acc_seg": 75.42079, "loss": 0.21559, "time": 0.65963} +{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.13809, "decode.acc_seg": 75.53589, "aux.loss_seg": 0.07488, "aux.acc_seg": 74.24462, "loss": 0.21298, "time": 0.67765} +{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.13647, "decode.acc_seg": 76.00875, "aux.loss_seg": 0.07446, "aux.acc_seg": 74.60983, "loss": 0.21093, "time": 0.65924} +{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.13377, "decode.acc_seg": 75.33169, "aux.loss_seg": 0.07199, "aux.acc_seg": 74.10727, "loss": 0.20576, "time": 0.65826} +{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.1443, "decode.acc_seg": 74.39779, "aux.loss_seg": 0.07678, "aux.acc_seg": 73.14003, "loss": 0.22108, "time": 0.65949} +{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1432, "decode.acc_seg": 75.27003, "aux.loss_seg": 0.07694, "aux.acc_seg": 73.91451, "loss": 0.22015, "time": 0.66311} +{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.13594, "decode.acc_seg": 77.33523, "aux.loss_seg": 0.07428, "aux.acc_seg": 76.03959, "loss": 0.21023, "time": 0.67388} +{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.14244, "decode.acc_seg": 75.06962, "aux.loss_seg": 0.07749, "aux.acc_seg": 73.69084, "loss": 0.21993, "time": 0.65545} +{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.13613, "decode.acc_seg": 76.62949, "aux.loss_seg": 0.07279, "aux.acc_seg": 75.39052, "loss": 0.20892, "time": 0.66648} +{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.14081, "decode.acc_seg": 73.89469, "aux.loss_seg": 0.07621, "aux.acc_seg": 72.50674, "loss": 0.21703, "time": 0.65325} +{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 22752, "data_time": 0.24813, "decode.loss_seg": 0.14418, "decode.acc_seg": 76.84673, "aux.loss_seg": 0.0781, "aux.acc_seg": 75.49008, "loss": 0.22228, "time": 0.89419} +{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 22752, "data_time": 0.01055, "decode.loss_seg": 0.14233, "decode.acc_seg": 75.55507, "aux.loss_seg": 0.07731, "aux.acc_seg": 74.17017, "loss": 0.21964, "time": 0.6757} +{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.1403, "decode.acc_seg": 76.80538, "aux.loss_seg": 0.076, "aux.acc_seg": 75.46499, "loss": 0.2163, "time": 0.66102} +{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.14005, "decode.acc_seg": 76.43148, "aux.loss_seg": 0.07585, "aux.acc_seg": 75.05862, "loss": 0.21591, "time": 0.67685} +{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 22752, "data_time": 0.01138, "decode.loss_seg": 0.13755, "decode.acc_seg": 76.56838, "aux.loss_seg": 0.07297, "aux.acc_seg": 75.36824, "loss": 0.21052, "time": 0.66295} +{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 22752, "data_time": 0.01081, "decode.loss_seg": 0.14174, "decode.acc_seg": 76.94665, "aux.loss_seg": 0.07553, "aux.acc_seg": 75.63563, "loss": 0.21727, "time": 0.64437} +{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 22752, "data_time": 0.011, "decode.loss_seg": 0.14749, "decode.acc_seg": 77.07527, "aux.loss_seg": 0.08009, "aux.acc_seg": 75.55828, "loss": 0.22758, "time": 0.66053} +{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.13075, "decode.acc_seg": 74.55883, "aux.loss_seg": 0.07129, "aux.acc_seg": 73.34081, "loss": 0.20205, "time": 0.65894} +{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.14143, "decode.acc_seg": 75.89921, "aux.loss_seg": 0.0763, "aux.acc_seg": 74.6116, "loss": 0.21773, "time": 0.64129} +{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.1403, "decode.acc_seg": 75.5032, "aux.loss_seg": 0.07542, "aux.acc_seg": 74.23055, "loss": 0.21572, "time": 0.64499} +{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.1389, "decode.acc_seg": 76.13055, "aux.loss_seg": 0.07492, "aux.acc_seg": 74.81329, "loss": 0.21382, "time": 0.65952} +{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.13349, "decode.acc_seg": 76.46108, "aux.loss_seg": 0.07162, "aux.acc_seg": 75.21227, "loss": 0.2051, "time": 0.6737} +{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 22752, "data_time": 0.01013, "decode.loss_seg": 0.14939, "decode.acc_seg": 76.52696, "aux.loss_seg": 0.08008, "aux.acc_seg": 75.18787, "loss": 0.22948, "time": 0.66148} +{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.13823, "decode.acc_seg": 74.78128, "aux.loss_seg": 0.07601, "aux.acc_seg": 73.33305, "loss": 0.21424, "time": 0.6545} +{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.13657, "decode.acc_seg": 74.45088, "aux.loss_seg": 0.07247, "aux.acc_seg": 73.26826, "loss": 0.20904, "time": 0.63856} +{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.1387, "decode.acc_seg": 76.23291, "aux.loss_seg": 0.07545, "aux.acc_seg": 74.92553, "loss": 0.21414, "time": 0.64595} +{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.13637, "decode.acc_seg": 75.03886, "aux.loss_seg": 0.07374, "aux.acc_seg": 73.77503, "loss": 0.21011, "time": 0.66089} +{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.13882, "decode.acc_seg": 76.60113, "aux.loss_seg": 0.07438, "aux.acc_seg": 75.32238, "loss": 0.2132, "time": 0.66895} +{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 22752, "data_time": 0.01084, "decode.loss_seg": 0.13695, "decode.acc_seg": 76.19693, "aux.loss_seg": 0.07602, "aux.acc_seg": 74.7596, "loss": 0.21297, "time": 0.65244} +{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.14388, "decode.acc_seg": 74.85253, "aux.loss_seg": 0.07822, "aux.acc_seg": 73.46586, "loss": 0.2221, "time": 0.66531} +{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.13924, "decode.acc_seg": 76.22372, "aux.loss_seg": 0.0752, "aux.acc_seg": 74.89756, "loss": 0.21444, "time": 0.67711} +{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.13701, "decode.acc_seg": 76.63249, "aux.loss_seg": 0.07459, "aux.acc_seg": 75.19602, "loss": 0.21161, "time": 0.63851} +{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.14526, "decode.acc_seg": 75.90708, "aux.loss_seg": 0.07726, "aux.acc_seg": 74.60828, "loss": 0.22252, "time": 0.6544} +{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.14224, "decode.acc_seg": 76.29721, "aux.loss_seg": 0.07699, "aux.acc_seg": 75.00062, "loss": 0.21923, "time": 0.67045} +{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.14221, "decode.acc_seg": 76.09806, "aux.loss_seg": 0.0773, "aux.acc_seg": 74.71409, "loss": 0.21951, "time": 0.66864} +{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 22752, "data_time": 0.23383, "decode.loss_seg": 0.13625, "decode.acc_seg": 75.75347, "aux.loss_seg": 0.07323, "aux.acc_seg": 74.47237, "loss": 0.20949, "time": 0.88351} +{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.13934, "decode.acc_seg": 75.69779, "aux.loss_seg": 0.07568, "aux.acc_seg": 74.32399, "loss": 0.21502, "time": 0.65974} +{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.13249, "decode.acc_seg": 75.94294, "aux.loss_seg": 0.07307, "aux.acc_seg": 74.53052, "loss": 0.20556, "time": 0.63933} +{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.1359, "decode.acc_seg": 76.36926, "aux.loss_seg": 0.0739, "aux.acc_seg": 74.99635, "loss": 0.20979, "time": 0.66501} +{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.13909, "decode.acc_seg": 76.85909, "aux.loss_seg": 0.07535, "aux.acc_seg": 75.53531, "loss": 0.21444, "time": 0.67023} +{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14954, "decode.acc_seg": 76.01149, "aux.loss_seg": 0.08072, "aux.acc_seg": 74.52032, "loss": 0.23026, "time": 0.6696} +{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.14593, "decode.acc_seg": 76.62422, "aux.loss_seg": 0.07875, "aux.acc_seg": 75.25674, "loss": 0.22468, "time": 0.67529} +{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.13617, "decode.acc_seg": 75.89137, "aux.loss_seg": 0.07316, "aux.acc_seg": 74.63165, "loss": 0.20933, "time": 0.64995} +{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14497, "decode.acc_seg": 76.35897, "aux.loss_seg": 0.07766, "aux.acc_seg": 74.95973, "loss": 0.22262, "time": 0.66529} +{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.13665, "decode.acc_seg": 76.08748, "aux.loss_seg": 0.07356, "aux.acc_seg": 74.79252, "loss": 0.2102, "time": 0.65461} +{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.14307, "decode.acc_seg": 76.10367, "aux.loss_seg": 0.07772, "aux.acc_seg": 74.65672, "loss": 0.2208, "time": 0.67143} +{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.14258, "decode.acc_seg": 75.28628, "aux.loss_seg": 0.07576, "aux.acc_seg": 74.02159, "loss": 0.21834, "time": 0.65756} +{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.1437, "decode.acc_seg": 76.28932, "aux.loss_seg": 0.07868, "aux.acc_seg": 74.8423, "loss": 0.22238, "time": 0.66878} +{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.13353, "decode.acc_seg": 75.45181, "aux.loss_seg": 0.07242, "aux.acc_seg": 74.1448, "loss": 0.20594, "time": 0.67105} +{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.13535, "decode.acc_seg": 76.0342, "aux.loss_seg": 0.07302, "aux.acc_seg": 74.76452, "loss": 0.20837, "time": 0.65301} +{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.13842, "decode.acc_seg": 76.12459, "aux.loss_seg": 0.07561, "aux.acc_seg": 74.72811, "loss": 0.21403, "time": 0.65509} +{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.13353, "decode.acc_seg": 75.4543, "aux.loss_seg": 0.07191, "aux.acc_seg": 74.21796, "loss": 0.20545, "time": 0.66634} +{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4859, "mAcc": 0.6052, "aAcc": 0.8273, "IoU.wall": 0.7711, "IoU.building": 0.8158, "IoU.sky": 0.9376, "IoU.floor": 0.8171, "IoU.tree": 0.7335, "IoU.ceiling": 0.8376, "IoU.road": 0.8313, "IoU.bed ": 0.8651, "IoU.windowpane": 0.602, "IoU.grass": 0.6942, "IoU.cabinet": 0.5926, "IoU.sidewalk": 0.6536, "IoU.person": 0.7813, "IoU.earth": 0.3894, "IoU.door": 0.4729, "IoU.table": 0.5948, "IoU.mountain": 0.6095, "IoU.plant": 0.4955, "IoU.curtain": 0.6984, "IoU.chair": 0.5653, "IoU.car": 0.8209, "IoU.water": 0.5258, "IoU.painting": 0.7212, "IoU.sofa": 0.6265, "IoU.shelf": 0.4408, "IoU.house": 0.4058, "IoU.sea": 0.548, "IoU.mirror": 0.6654, "IoU.rug": 0.6722, "IoU.field": 0.3045, "IoU.armchair": 0.4201, "IoU.seat": 0.6156, "IoU.fence": 0.4522, "IoU.desk": 0.5074, "IoU.rock": 0.4632, "IoU.wardrobe": 0.5063, "IoU.lamp": 0.6108, "IoU.bathtub": 0.7538, "IoU.railing": 0.3318, "IoU.cushion": 0.5257, "IoU.base": 0.2815, "IoU.box": 0.2475, "IoU.column": 0.4611, "IoU.signboard": 0.3503, "IoU.chest of drawers": 0.3352, "IoU.counter": 0.2446, "IoU.sand": 0.5153, "IoU.sink": 0.7114, "IoU.skyscraper": 0.5567, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7973, "IoU.grandstand": 0.4386, "IoU.path": 0.2576, "IoU.stairs": 0.3074, "IoU.runway": 0.7107, "IoU.case": 0.396, "IoU.pool table": 0.9058, "IoU.pillow": 0.5757, "IoU.screen door": 0.7012, "IoU.stairway": 0.309, "IoU.river": 0.114, "IoU.bridge": 0.6954, "IoU.bookcase": 0.4014, "IoU.blind": NaN, "IoU.coffee table": 0.5518, "IoU.toilet": 0.8385, "IoU.flower": 0.4258, "IoU.book": 0.4532, "IoU.hill": 0.1592, "IoU.bench": 0.4589, "IoU.countertop": 0.4817, "IoU.stove": 0.7159, "IoU.palm": 0.4969, "IoU.kitchen island": 0.3968, "IoU.computer": 0.6462, "IoU.swivel chair": 0.4558, "IoU.boat": 0.4271, "IoU.bar": 0.4194, "IoU.arcade machine": 0.6183, "IoU.hovel": 0.2312, "IoU.bus": 0.8591, "IoU.towel": 0.7035, "IoU.light": 0.5564, "IoU.truck": 0.2399, "IoU.tower": 0.2429, "IoU.chandelier": 0.6638, "IoU.awning": 0.2544, "IoU.streetlight": 0.2174, "IoU.booth": 0.5778, "IoU.television receiver": NaN, "IoU.airplane": 0.5812, "IoU.dirt track": 0.261, "IoU.apparel": 0.3799, "IoU.pole": 0.1601, "IoU.land": 0.0444, "IoU.bannister": 0.0901, "IoU.escalator": 0.2453, "IoU.ottoman": 0.3788, "IoU.bottle": NaN, "IoU.buffet": 0.4668, "IoU.poster": 0.2993, "IoU.stage": 0.1591, "IoU.van": 0.3782, "IoU.ship": 0.6127, "IoU.fountain": 0.3023, "IoU.conveyer belt": 0.7972, "IoU.canopy": 0.129, "IoU.washer": 0.7425, "IoU.plaything": 0.2279, "IoU.swimming pool": 0.7074, "IoU.stool": 0.4179, "IoU.barrel": 0.715, "IoU.basket": 0.3311, "IoU.waterfall": 0.596, "IoU.tent": 0.9158, "IoU.bag": 0.1101, "IoU.minibike": 0.7459, "IoU.cradle": NaN, "IoU.oven": 0.4588, "IoU.ball": 0.4304, "IoU.food": 0.3345, "IoU.step": 0.0746, "IoU.tank": 0.5487, "IoU.trade name": 0.294, "IoU.microwave": 0.7771, "IoU.pot": 0.523, "IoU.animal": NaN, "IoU.bicycle": 0.5209, "IoU.lake": 0.5609, "IoU.dishwasher": 0.5269, "IoU.screen": 0.5899, "IoU.blanket": 0.1296, "IoU.sculpture": 0.6845, "IoU.hood": 0.5829, "IoU.sconce": 0.4807, "IoU.vase": 0.3858, "IoU.traffic light": 0.3041, "IoU.tray": 0.0958, "IoU.ashcan": 0.3886, "IoU.fan": 0.5846, "IoU.pier": 0.3685, "IoU.crt screen": 0.0401, "IoU.plate": 0.5192, "IoU.monitor": 0.0845, "IoU.bulletin board": 0.3723, "IoU.shower": 0.0506, "IoU.radiator": 0.5989, "IoU.glass": 0.1403, "IoU.clock": 0.3125, "IoU.flag": 0.3258, "Acc.wall": 0.8834, "Acc.building": 0.9207, "Acc.sky": 0.9712, "Acc.floor": 0.9068, "Acc.tree": 0.873, "Acc.ceiling": 0.928, "Acc.road": 0.8905, "Acc.bed ": 0.9482, "Acc.windowpane": 0.7774, "Acc.grass": 0.8611, "Acc.cabinet": 0.7214, "Acc.sidewalk": 0.8285, "Acc.person": 0.9169, "Acc.earth": 0.5158, "Acc.door": 0.5923, "Acc.table": 0.7638, "Acc.mountain": 0.7339, "Acc.plant": 0.6071, "Acc.curtain": 0.8152, "Acc.chair": 0.7062, "Acc.car": 0.904, "Acc.water": 0.6839, "Acc.painting": 0.8658, "Acc.sofa": 0.8017, "Acc.shelf": 0.6117, "Acc.house": 0.5479, "Acc.sea": 0.7962, "Acc.mirror": 0.7509, "Acc.rug": 0.7558, "Acc.field": 0.43, "Acc.armchair": 0.6097, "Acc.seat": 0.806, "Acc.fence": 0.5809, "Acc.desk": 0.6936, "Acc.rock": 0.7553, "Acc.wardrobe": 0.6847, "Acc.lamp": 0.7419, "Acc.bathtub": 0.8254, "Acc.railing": 0.4464, "Acc.cushion": 0.678, "Acc.base": 0.3978, "Acc.box": 0.3048, "Acc.column": 0.5595, "Acc.signboard": 0.4885, "Acc.chest of drawers": 0.5516, "Acc.counter": 0.2883, "Acc.sand": 0.6853, "Acc.sink": 0.7952, "Acc.skyscraper": 0.6737, "Acc.fireplace": NaN, "Acc.refrigerator": 0.9017, "Acc.grandstand": 0.7404, "Acc.path": 0.3801, "Acc.stairs": 0.4075, "Acc.runway": 0.9508, "Acc.case": 0.4952, "Acc.pool table": 0.9577, "Acc.pillow": 0.688, "Acc.screen door": 0.8111, "Acc.stairway": 0.3741, "Acc.river": 0.1923, "Acc.bridge": 0.8045, "Acc.bookcase": 0.5008, "Acc.blind": NaN, "Acc.coffee table": 0.7949, "Acc.toilet": 0.8953, "Acc.flower": 0.6123, "Acc.book": 0.6309, "Acc.hill": 0.2297, "Acc.bench": 0.5333, "Acc.countertop": 0.6518, "Acc.stove": 0.8071, "Acc.palm": 0.7159, "Acc.kitchen island": 0.748, "Acc.computer": 0.7567, "Acc.swivel chair": 0.6458, "Acc.boat": 0.5187, "Acc.bar": 0.5764, "Acc.arcade machine": 0.6618, "Acc.hovel": 0.2412, "Acc.bus": 0.9568, "Acc.towel": 0.8268, "Acc.light": 0.6441, "Acc.truck": 0.3111, "Acc.tower": 0.3969, "Acc.chandelier": 0.817, "Acc.awning": 0.3173, "Acc.streetlight": 0.2827, "Acc.booth": 0.6885, "Acc.television receiver": NaN, "Acc.airplane": 0.6635, "Acc.dirt track": 0.4743, "Acc.apparel": 0.5048, "Acc.pole": 0.2244, "Acc.land": 0.0575, "Acc.bannister": 0.1135, "Acc.escalator": 0.304, "Acc.ottoman": 0.5215, "Acc.bottle": NaN, "Acc.buffet": 0.5406, "Acc.poster": 0.3908, "Acc.stage": 0.2149, "Acc.van": 0.5516, "Acc.ship": 0.9496, "Acc.fountain": 0.3072, "Acc.conveyer belt": 0.9201, "Acc.canopy": 0.1773, "Acc.washer": 0.7721, "Acc.plaything": 0.3595, "Acc.swimming pool": 0.8638, "Acc.stool": 0.5637, "Acc.barrel": 0.9194, "Acc.basket": 0.4371, "Acc.waterfall": 0.809, "Acc.tent": 0.9745, "Acc.bag": 0.1321, "Acc.minibike": 0.8888, "Acc.cradle": NaN, "Acc.oven": 0.6786, "Acc.ball": 0.4949, "Acc.food": 0.3943, "Acc.step": 0.0838, "Acc.tank": 0.6434, "Acc.trade name": 0.3456, "Acc.microwave": 0.8533, "Acc.pot": 0.5837, "Acc.animal": NaN, "Acc.bicycle": 0.7437, "Acc.lake": 0.6364, "Acc.dishwasher": 0.6639, "Acc.screen": 0.7417, "Acc.blanket": 0.1476, "Acc.sculpture": 0.7898, "Acc.hood": 0.6604, "Acc.sconce": 0.5982, "Acc.vase": 0.5313, "Acc.traffic light": 0.4491, "Acc.tray": 0.237, "Acc.ashcan": 0.5003, "Acc.fan": 0.712, "Acc.pier": 0.6362, "Acc.crt screen": 0.1479, "Acc.plate": 0.7015, "Acc.monitor": 0.0953, "Acc.bulletin board": 0.4613, "Acc.shower": 0.0563, "Acc.radiator": 0.71, "Acc.glass": 0.1529, "Acc.clock": 0.3591, "Acc.flag": 0.3638} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt new file mode 100644 index 000000000..f50d110b3 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt @@ -0,0 +1,3201 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.0\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+ff28ac2", "seed": null, "exp_name": "upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 16095, "data_time": 0.00813, "decode.loss_seg": 4.06618, "decode.acc_seg": 0.92059, "aux.loss_seg": 1.62889, "aux.acc_seg": 0.25095, "loss": 5.69507, "time": 0.52493} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 16095, "data_time": 0.00604, "decode.loss_seg": 3.921, "decode.acc_seg": 8.49652, "aux.loss_seg": 1.59991, "aux.acc_seg": 0.47231, "loss": 5.52091, "time": 0.4125} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 16095, "data_time": 0.00607, "decode.loss_seg": 3.77823, "decode.acc_seg": 24.36282, "aux.loss_seg": 1.6089, "aux.acc_seg": 1.73205, "loss": 5.38713, "time": 0.41166} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 16095, "data_time": 0.00649, "decode.loss_seg": 3.3927, "decode.acc_seg": 32.89187, "aux.loss_seg": 1.59025, "aux.acc_seg": 8.0342, "loss": 4.98295, "time": 0.41174} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 16095, "data_time": 0.00611, "decode.loss_seg": 2.98196, "decode.acc_seg": 36.87648, "aux.loss_seg": 1.53033, "aux.acc_seg": 22.11954, "loss": 4.51229, "time": 0.41044} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 16095, "data_time": 0.00633, "decode.loss_seg": 2.7797, "decode.acc_seg": 39.47768, "aux.loss_seg": 1.50205, "aux.acc_seg": 30.13238, "loss": 4.28175, "time": 0.40717} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 16095, "data_time": 0.00654, "decode.loss_seg": 2.59957, "decode.acc_seg": 41.22584, "aux.loss_seg": 1.44595, "aux.acc_seg": 33.32557, "loss": 4.04551, "time": 0.40703} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 16095, "data_time": 0.00618, "decode.loss_seg": 2.40718, "decode.acc_seg": 42.22839, "aux.loss_seg": 1.3698, "aux.acc_seg": 34.75567, "loss": 3.77698, "time": 0.40571} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 16095, "data_time": 0.00621, "decode.loss_seg": 2.26753, "decode.acc_seg": 43.08296, "aux.loss_seg": 1.31187, "aux.acc_seg": 34.6994, "loss": 3.5794, "time": 0.40818} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 16095, "data_time": 0.00626, "decode.loss_seg": 2.07959, "decode.acc_seg": 44.6101, "aux.loss_seg": 1.24438, "aux.acc_seg": 36.43405, "loss": 3.32396, "time": 0.40864} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 16095, "data_time": 0.00625, "decode.loss_seg": 1.98619, "decode.acc_seg": 46.43731, "aux.loss_seg": 1.20227, "aux.acc_seg": 37.75947, "loss": 3.18846, "time": 0.40659} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 16095, "data_time": 0.00622, "decode.loss_seg": 1.9076, "decode.acc_seg": 47.40293, "aux.loss_seg": 1.16382, "aux.acc_seg": 38.50066, "loss": 3.07143, "time": 0.4065} +{"mode": "train", "epoch": 2, "iter": 650, "lr": 3e-05, "memory": 16095, "data_time": 0.16031, "decode.loss_seg": 1.77346, "decode.acc_seg": 46.64926, "aux.loss_seg": 1.08805, "aux.acc_seg": 37.38876, "loss": 2.86151, "time": 0.5713} +{"mode": "train", "epoch": 2, "iter": 700, "lr": 3e-05, "memory": 16095, "data_time": 0.00791, "decode.loss_seg": 1.72987, "decode.acc_seg": 46.99065, "aux.loss_seg": 1.05719, "aux.acc_seg": 38.1711, "loss": 2.78706, "time": 0.40667} +{"mode": "train", "epoch": 2, "iter": 750, "lr": 3e-05, "memory": 16095, "data_time": 0.00847, "decode.loss_seg": 1.64045, "decode.acc_seg": 48.63047, "aux.loss_seg": 1.01027, "aux.acc_seg": 40.11463, "loss": 2.65072, "time": 0.41003} +{"mode": "train", "epoch": 2, "iter": 800, "lr": 3e-05, "memory": 16095, "data_time": 0.00783, "decode.loss_seg": 1.62623, "decode.acc_seg": 48.09872, "aux.loss_seg": 0.98384, "aux.acc_seg": 39.27582, "loss": 2.61007, "time": 0.4091} +{"mode": "train", "epoch": 2, "iter": 850, "lr": 3e-05, "memory": 16095, "data_time": 0.00885, "decode.loss_seg": 1.53824, "decode.acc_seg": 48.74422, "aux.loss_seg": 0.92732, "aux.acc_seg": 40.24309, "loss": 2.46556, "time": 0.40712} +{"mode": "train", "epoch": 2, "iter": 900, "lr": 4e-05, "memory": 16095, "data_time": 0.00853, "decode.loss_seg": 1.46153, "decode.acc_seg": 50.55474, "aux.loss_seg": 0.89082, "aux.acc_seg": 41.45121, "loss": 2.35235, "time": 0.40705} +{"mode": "train", "epoch": 2, "iter": 950, "lr": 4e-05, "memory": 16095, "data_time": 0.00777, "decode.loss_seg": 1.41681, "decode.acc_seg": 50.40599, "aux.loss_seg": 0.85252, "aux.acc_seg": 41.30853, "loss": 2.26932, "time": 0.4063} +{"mode": "train", "epoch": 2, "iter": 1000, "lr": 4e-05, "memory": 16095, "data_time": 0.00778, "decode.loss_seg": 1.40785, "decode.acc_seg": 51.29813, "aux.loss_seg": 0.83058, "aux.acc_seg": 42.64143, "loss": 2.23843, "time": 0.40635} +{"mode": "train", "epoch": 2, "iter": 1050, "lr": 4e-05, "memory": 16095, "data_time": 0.00806, "decode.loss_seg": 1.40262, "decode.acc_seg": 48.89064, "aux.loss_seg": 0.80698, "aux.acc_seg": 40.39263, "loss": 2.2096, "time": 0.40661} +{"mode": "train", "epoch": 2, "iter": 1100, "lr": 4e-05, "memory": 16095, "data_time": 0.00847, "decode.loss_seg": 1.30947, "decode.acc_seg": 51.42891, "aux.loss_seg": 0.7736, "aux.acc_seg": 42.19788, "loss": 2.08307, "time": 0.41078} +{"mode": "train", "epoch": 2, "iter": 1150, "lr": 5e-05, "memory": 16095, "data_time": 0.00869, "decode.loss_seg": 1.27901, "decode.acc_seg": 51.96172, "aux.loss_seg": 0.73923, "aux.acc_seg": 44.325, "loss": 2.01824, "time": 0.40937} +{"mode": "train", "epoch": 2, "iter": 1200, "lr": 5e-05, "memory": 16095, "data_time": 0.00892, "decode.loss_seg": 1.25285, "decode.acc_seg": 50.79229, "aux.loss_seg": 0.71927, "aux.acc_seg": 43.30305, "loss": 1.97211, "time": 0.40924} +{"mode": "train", "epoch": 2, "iter": 1250, "lr": 5e-05, "memory": 16095, "data_time": 0.0094, "decode.loss_seg": 1.28581, "decode.acc_seg": 51.40089, "aux.loss_seg": 0.72265, "aux.acc_seg": 43.80702, "loss": 2.00846, "time": 0.40841} +{"mode": "train", "epoch": 3, "iter": 1300, "lr": 5e-05, "memory": 16095, "data_time": 0.16662, "decode.loss_seg": 1.23384, "decode.acc_seg": 51.96598, "aux.loss_seg": 0.70252, "aux.acc_seg": 44.18349, "loss": 1.93635, "time": 0.568} +{"mode": "train", "epoch": 3, "iter": 1350, "lr": 5e-05, "memory": 16095, "data_time": 0.00963, "decode.loss_seg": 1.19102, "decode.acc_seg": 52.37811, "aux.loss_seg": 0.67973, "aux.acc_seg": 44.69699, "loss": 1.87075, "time": 0.40741} +{"mode": "train", "epoch": 3, "iter": 1400, "lr": 6e-05, "memory": 16095, "data_time": 0.00979, "decode.loss_seg": 1.21596, "decode.acc_seg": 52.41672, "aux.loss_seg": 0.68077, "aux.acc_seg": 45.58054, "loss": 1.89673, "time": 0.40799} +{"mode": "train", "epoch": 3, "iter": 1450, "lr": 6e-05, "memory": 16095, "data_time": 0.01004, "decode.loss_seg": 1.15095, "decode.acc_seg": 53.8749, "aux.loss_seg": 0.6546, "aux.acc_seg": 46.39026, "loss": 1.80556, "time": 0.40904} +{"mode": "train", "epoch": 3, "iter": 1500, "lr": 6e-05, "memory": 16095, "data_time": 0.00908, "decode.loss_seg": 1.10572, "decode.acc_seg": 53.84604, "aux.loss_seg": 0.63057, "aux.acc_seg": 46.74305, "loss": 1.7363, "time": 0.40965} +{"mode": "train", "epoch": 3, "iter": 1550, "lr": 6e-05, "memory": 16095, "data_time": 0.00936, "decode.loss_seg": 1.15286, "decode.acc_seg": 53.01088, "aux.loss_seg": 0.64441, "aux.acc_seg": 46.32043, "loss": 1.79727, "time": 0.40883} +{"mode": "train", "epoch": 3, "iter": 1600, "lr": 6e-05, "memory": 16095, "data_time": 0.00911, "decode.loss_seg": 1.1142, "decode.acc_seg": 53.59044, "aux.loss_seg": 0.62001, "aux.acc_seg": 47.17396, "loss": 1.73421, "time": 0.40869} +{"mode": "train", "epoch": 3, "iter": 1650, "lr": 6e-05, "memory": 16095, "data_time": 0.00898, "decode.loss_seg": 1.11572, "decode.acc_seg": 53.27206, "aux.loss_seg": 0.62523, "aux.acc_seg": 46.49303, "loss": 1.74095, "time": 0.40789} +{"mode": "train", "epoch": 3, "iter": 1700, "lr": 6e-05, "memory": 16095, "data_time": 0.00861, "decode.loss_seg": 1.08399, "decode.acc_seg": 54.122, "aux.loss_seg": 0.60959, "aux.acc_seg": 47.05979, "loss": 1.69358, "time": 0.40889} +{"mode": "train", "epoch": 3, "iter": 1750, "lr": 6e-05, "memory": 16095, "data_time": 0.00864, "decode.loss_seg": 1.11378, "decode.acc_seg": 54.19392, "aux.loss_seg": 0.62007, "aux.acc_seg": 47.2102, "loss": 1.73386, "time": 0.40883} +{"mode": "train", "epoch": 3, "iter": 1800, "lr": 6e-05, "memory": 16095, "data_time": 0.0091, "decode.loss_seg": 1.05622, "decode.acc_seg": 54.10339, "aux.loss_seg": 0.59344, "aux.acc_seg": 47.2692, "loss": 1.64966, "time": 0.40848} +{"mode": "train", "epoch": 3, "iter": 1850, "lr": 6e-05, "memory": 16095, "data_time": 0.00984, "decode.loss_seg": 1.084, "decode.acc_seg": 54.60916, "aux.loss_seg": 0.60622, "aux.acc_seg": 48.05395, "loss": 1.69022, "time": 0.40891} +{"mode": "train", "epoch": 4, "iter": 1900, "lr": 6e-05, "memory": 16095, "data_time": 0.18041, "decode.loss_seg": 1.01277, "decode.acc_seg": 53.67194, "aux.loss_seg": 0.575, "aux.acc_seg": 47.25746, "loss": 1.58777, "time": 0.58061} +{"mode": "train", "epoch": 4, "iter": 1950, "lr": 6e-05, "memory": 16095, "data_time": 0.00861, "decode.loss_seg": 1.0203, "decode.acc_seg": 56.22574, "aux.loss_seg": 0.58211, "aux.acc_seg": 49.28953, "loss": 1.60241, "time": 0.4076} +{"mode": "train", "epoch": 4, "iter": 2000, "lr": 6e-05, "memory": 16095, "data_time": 0.00918, "decode.loss_seg": 0.9737, "decode.acc_seg": 55.12409, "aux.loss_seg": 0.56021, "aux.acc_seg": 48.43718, "loss": 1.53391, "time": 0.40795} +{"mode": "train", "epoch": 4, "iter": 2050, "lr": 6e-05, "memory": 16095, "data_time": 0.00934, "decode.loss_seg": 0.98045, "decode.acc_seg": 56.1536, "aux.loss_seg": 0.56177, "aux.acc_seg": 49.55834, "loss": 1.54221, "time": 0.40749} +{"mode": "train", "epoch": 4, "iter": 2100, "lr": 6e-05, "memory": 16095, "data_time": 0.01009, "decode.loss_seg": 1.01047, "decode.acc_seg": 55.95911, "aux.loss_seg": 0.57354, "aux.acc_seg": 49.23834, "loss": 1.58401, "time": 0.40758} +{"mode": "train", "epoch": 4, "iter": 2150, "lr": 6e-05, "memory": 16095, "data_time": 0.00947, "decode.loss_seg": 0.95845, "decode.acc_seg": 56.9604, "aux.loss_seg": 0.5506, "aux.acc_seg": 50.59861, "loss": 1.50905, "time": 0.40772} +{"mode": "train", "epoch": 4, "iter": 2200, "lr": 6e-05, "memory": 16095, "data_time": 0.00947, "decode.loss_seg": 0.95214, "decode.acc_seg": 55.82227, "aux.loss_seg": 0.5503, "aux.acc_seg": 48.98398, "loss": 1.50244, "time": 0.4074} +{"mode": "train", "epoch": 4, "iter": 2250, "lr": 6e-05, "memory": 16095, "data_time": 0.00916, "decode.loss_seg": 0.93773, "decode.acc_seg": 55.70551, "aux.loss_seg": 0.54055, "aux.acc_seg": 48.95708, "loss": 1.47827, "time": 0.4068} +{"mode": "train", "epoch": 4, "iter": 2300, "lr": 6e-05, "memory": 16095, "data_time": 0.00893, "decode.loss_seg": 0.92541, "decode.acc_seg": 56.50013, "aux.loss_seg": 0.539, "aux.acc_seg": 49.97288, "loss": 1.46441, "time": 0.40678} +{"mode": "train", "epoch": 4, "iter": 2350, "lr": 6e-05, "memory": 16095, "data_time": 0.00875, "decode.loss_seg": 0.91652, "decode.acc_seg": 55.90308, "aux.loss_seg": 0.52915, "aux.acc_seg": 49.5318, "loss": 1.44567, "time": 0.40646} +{"mode": "train", "epoch": 4, "iter": 2400, "lr": 6e-05, "memory": 16095, "data_time": 0.00864, "decode.loss_seg": 0.90138, "decode.acc_seg": 55.31133, "aux.loss_seg": 0.51815, "aux.acc_seg": 48.92643, "loss": 1.41953, "time": 0.40669} +{"mode": "train", "epoch": 4, "iter": 2450, "lr": 6e-05, "memory": 16095, "data_time": 0.00897, "decode.loss_seg": 0.90829, "decode.acc_seg": 56.48011, "aux.loss_seg": 0.52452, "aux.acc_seg": 50.11251, "loss": 1.43281, "time": 0.40646} +{"mode": "train", "epoch": 4, "iter": 2500, "lr": 6e-05, "memory": 16095, "data_time": 0.00891, "decode.loss_seg": 0.89972, "decode.acc_seg": 56.45898, "aux.loss_seg": 0.52118, "aux.acc_seg": 50.00955, "loss": 1.4209, "time": 0.4069} +{"mode": "train", "epoch": 5, "iter": 2550, "lr": 6e-05, "memory": 16095, "data_time": 0.18443, "decode.loss_seg": 0.88934, "decode.acc_seg": 57.50641, "aux.loss_seg": 0.51906, "aux.acc_seg": 50.85602, "loss": 1.4084, "time": 0.58283} +{"mode": "train", "epoch": 5, "iter": 2600, "lr": 6e-05, "memory": 16095, "data_time": 0.0113, "decode.loss_seg": 0.85945, "decode.acc_seg": 57.84103, "aux.loss_seg": 0.50905, "aux.acc_seg": 50.90505, "loss": 1.3685, "time": 0.40818} +{"mode": "train", "epoch": 5, "iter": 2650, "lr": 6e-05, "memory": 16095, "data_time": 0.01136, "decode.loss_seg": 0.87323, "decode.acc_seg": 57.08345, "aux.loss_seg": 0.51087, "aux.acc_seg": 51.08682, "loss": 1.3841, "time": 0.40879} +{"mode": "train", "epoch": 5, "iter": 2700, "lr": 6e-05, "memory": 16095, "data_time": 0.01062, "decode.loss_seg": 0.87155, "decode.acc_seg": 56.96145, "aux.loss_seg": 0.50945, "aux.acc_seg": 50.65729, "loss": 1.381, "time": 0.40776} +{"mode": "train", "epoch": 5, "iter": 2750, "lr": 6e-05, "memory": 16095, "data_time": 0.01058, "decode.loss_seg": 0.86792, "decode.acc_seg": 58.01841, "aux.loss_seg": 0.51078, "aux.acc_seg": 51.28636, "loss": 1.3787, "time": 0.40772} +{"mode": "train", "epoch": 5, "iter": 2800, "lr": 6e-05, "memory": 16095, "data_time": 0.01076, "decode.loss_seg": 0.88597, "decode.acc_seg": 57.60696, "aux.loss_seg": 0.52051, "aux.acc_seg": 50.69523, "loss": 1.40648, "time": 0.40775} +{"mode": "train", "epoch": 5, "iter": 2850, "lr": 6e-05, "memory": 16095, "data_time": 0.01069, "decode.loss_seg": 0.8582, "decode.acc_seg": 58.72835, "aux.loss_seg": 0.49908, "aux.acc_seg": 52.18502, "loss": 1.35728, "time": 0.40812} +{"mode": "train", "epoch": 5, "iter": 2900, "lr": 6e-05, "memory": 16095, "data_time": 0.01036, "decode.loss_seg": 0.83814, "decode.acc_seg": 59.06877, "aux.loss_seg": 0.49732, "aux.acc_seg": 51.91219, "loss": 1.33546, "time": 0.40769} +{"mode": "train", "epoch": 5, "iter": 2950, "lr": 6e-05, "memory": 16095, "data_time": 0.01044, "decode.loss_seg": 0.86978, "decode.acc_seg": 57.70076, "aux.loss_seg": 0.51423, "aux.acc_seg": 50.54744, "loss": 1.38401, "time": 0.40808} +{"mode": "train", "epoch": 5, "iter": 3000, "lr": 6e-05, "memory": 16095, "data_time": 0.00996, "decode.loss_seg": 0.83297, "decode.acc_seg": 57.83396, "aux.loss_seg": 0.49274, "aux.acc_seg": 51.45067, "loss": 1.32571, "time": 0.40932} +{"mode": "train", "epoch": 5, "iter": 3050, "lr": 6e-05, "memory": 16095, "data_time": 0.00971, "decode.loss_seg": 0.8204, "decode.acc_seg": 57.31239, "aux.loss_seg": 0.48333, "aux.acc_seg": 50.96665, "loss": 1.30373, "time": 0.40921} +{"mode": "train", "epoch": 5, "iter": 3100, "lr": 6e-05, "memory": 16095, "data_time": 0.0094, "decode.loss_seg": 0.85991, "decode.acc_seg": 57.11508, "aux.loss_seg": 0.50633, "aux.acc_seg": 50.11774, "loss": 1.36624, "time": 0.40903} +{"mode": "train", "epoch": 5, "iter": 3150, "lr": 6e-05, "memory": 16095, "data_time": 0.00936, "decode.loss_seg": 0.82267, "decode.acc_seg": 57.86672, "aux.loss_seg": 0.47659, "aux.acc_seg": 51.45416, "loss": 1.29927, "time": 0.40783} +{"mode": "train", "epoch": 6, "iter": 3200, "lr": 6e-05, "memory": 16095, "data_time": 0.20336, "decode.loss_seg": 0.81874, "decode.acc_seg": 58.98502, "aux.loss_seg": 0.48512, "aux.acc_seg": 52.30952, "loss": 1.30386, "time": 0.60296} +{"mode": "train", "epoch": 6, "iter": 3250, "lr": 6e-05, "memory": 16095, "data_time": 0.00977, "decode.loss_seg": 0.78586, "decode.acc_seg": 58.37911, "aux.loss_seg": 0.47537, "aux.acc_seg": 51.45863, "loss": 1.26123, "time": 0.40892} +{"mode": "train", "epoch": 6, "iter": 3300, "lr": 6e-05, "memory": 16095, "data_time": 0.00969, "decode.loss_seg": 0.79014, "decode.acc_seg": 59.39414, "aux.loss_seg": 0.47459, "aux.acc_seg": 52.39743, "loss": 1.26473, "time": 0.40881} +{"mode": "train", "epoch": 6, "iter": 3350, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.80899, "decode.acc_seg": 58.4961, "aux.loss_seg": 0.47541, "aux.acc_seg": 52.21473, "loss": 1.28439, "time": 0.40939} +{"mode": "train", "epoch": 6, "iter": 3400, "lr": 6e-05, "memory": 16095, "data_time": 0.0101, "decode.loss_seg": 0.79249, "decode.acc_seg": 58.52652, "aux.loss_seg": 0.46578, "aux.acc_seg": 52.32346, "loss": 1.25827, "time": 0.40956} +{"mode": "train", "epoch": 6, "iter": 3450, "lr": 6e-05, "memory": 16095, "data_time": 0.00992, "decode.loss_seg": 0.81704, "decode.acc_seg": 59.07082, "aux.loss_seg": 0.47946, "aux.acc_seg": 52.55945, "loss": 1.2965, "time": 0.40932} +{"mode": "train", "epoch": 6, "iter": 3500, "lr": 6e-05, "memory": 16095, "data_time": 0.00997, "decode.loss_seg": 0.77761, "decode.acc_seg": 58.61613, "aux.loss_seg": 0.46021, "aux.acc_seg": 52.28306, "loss": 1.23782, "time": 0.40809} +{"mode": "train", "epoch": 6, "iter": 3550, "lr": 6e-05, "memory": 16095, "data_time": 0.00975, "decode.loss_seg": 0.8353, "decode.acc_seg": 57.80481, "aux.loss_seg": 0.48061, "aux.acc_seg": 51.34809, "loss": 1.3159, "time": 0.40768} +{"mode": "train", "epoch": 6, "iter": 3600, "lr": 6e-05, "memory": 16095, "data_time": 0.00989, "decode.loss_seg": 0.81051, "decode.acc_seg": 58.0483, "aux.loss_seg": 0.47893, "aux.acc_seg": 51.45889, "loss": 1.28944, "time": 0.40732} +{"mode": "train", "epoch": 6, "iter": 3650, "lr": 6e-05, "memory": 16095, "data_time": 0.00946, "decode.loss_seg": 0.79315, "decode.acc_seg": 58.62801, "aux.loss_seg": 0.46809, "aux.acc_seg": 51.58282, "loss": 1.26124, "time": 0.40788} +{"mode": "train", "epoch": 6, "iter": 3700, "lr": 6e-05, "memory": 16095, "data_time": 0.00985, "decode.loss_seg": 0.75616, "decode.acc_seg": 59.03868, "aux.loss_seg": 0.44409, "aux.acc_seg": 52.80451, "loss": 1.20025, "time": 0.40779} +{"mode": "train", "epoch": 6, "iter": 3750, "lr": 6e-05, "memory": 16095, "data_time": 0.00983, "decode.loss_seg": 0.74845, "decode.acc_seg": 60.27162, "aux.loss_seg": 0.44446, "aux.acc_seg": 53.85303, "loss": 1.19291, "time": 0.40821} +{"mode": "train", "epoch": 7, "iter": 3800, "lr": 6e-05, "memory": 16095, "data_time": 0.1693, "decode.loss_seg": 0.79207, "decode.acc_seg": 57.53482, "aux.loss_seg": 0.46066, "aux.acc_seg": 51.74402, "loss": 1.25273, "time": 0.56726} +{"mode": "train", "epoch": 7, "iter": 3850, "lr": 6e-05, "memory": 16095, "data_time": 0.00716, "decode.loss_seg": 0.75932, "decode.acc_seg": 59.73777, "aux.loss_seg": 0.45228, "aux.acc_seg": 53.74661, "loss": 1.2116, "time": 0.40512} +{"mode": "train", "epoch": 7, "iter": 3900, "lr": 6e-05, "memory": 16095, "data_time": 0.00712, "decode.loss_seg": 0.73771, "decode.acc_seg": 59.87858, "aux.loss_seg": 0.45022, "aux.acc_seg": 52.95263, "loss": 1.18794, "time": 0.40487} +{"mode": "train", "epoch": 7, "iter": 3950, "lr": 6e-05, "memory": 16095, "data_time": 0.00694, "decode.loss_seg": 0.76238, "decode.acc_seg": 58.77718, "aux.loss_seg": 0.45513, "aux.acc_seg": 52.35439, "loss": 1.21751, "time": 0.40528} +{"mode": "train", "epoch": 7, "iter": 4000, "lr": 6e-05, "memory": 16095, "data_time": 0.00724, "decode.loss_seg": 0.76725, "decode.acc_seg": 60.05696, "aux.loss_seg": 0.46617, "aux.acc_seg": 52.48165, "loss": 1.23342, "time": 0.40595} +{"mode": "train", "epoch": 7, "iter": 4050, "lr": 6e-05, "memory": 16095, "data_time": 0.00681, "decode.loss_seg": 0.75065, "decode.acc_seg": 59.57668, "aux.loss_seg": 0.44138, "aux.acc_seg": 53.13896, "loss": 1.19203, "time": 0.40708} +{"mode": "train", "epoch": 7, "iter": 4100, "lr": 6e-05, "memory": 16095, "data_time": 0.00715, "decode.loss_seg": 0.72329, "decode.acc_seg": 60.24453, "aux.loss_seg": 0.43098, "aux.acc_seg": 53.69719, "loss": 1.15428, "time": 0.40732} +{"mode": "train", "epoch": 7, "iter": 4150, "lr": 6e-05, "memory": 16095, "data_time": 0.00745, "decode.loss_seg": 0.73438, "decode.acc_seg": 60.08393, "aux.loss_seg": 0.43836, "aux.acc_seg": 52.96249, "loss": 1.17273, "time": 0.40545} +{"mode": "train", "epoch": 7, "iter": 4200, "lr": 6e-05, "memory": 16095, "data_time": 0.00763, "decode.loss_seg": 0.73896, "decode.acc_seg": 59.4137, "aux.loss_seg": 0.43481, "aux.acc_seg": 53.29081, "loss": 1.17377, "time": 0.40504} +{"mode": "train", "epoch": 7, "iter": 4250, "lr": 6e-05, "memory": 16095, "data_time": 0.00738, "decode.loss_seg": 0.7591, "decode.acc_seg": 59.75223, "aux.loss_seg": 0.44462, "aux.acc_seg": 53.34947, "loss": 1.20372, "time": 0.40474} +{"mode": "train", "epoch": 7, "iter": 4300, "lr": 6e-05, "memory": 16095, "data_time": 0.00746, "decode.loss_seg": 0.7491, "decode.acc_seg": 59.09525, "aux.loss_seg": 0.44099, "aux.acc_seg": 52.45986, "loss": 1.1901, "time": 0.40458} +{"mode": "train", "epoch": 7, "iter": 4350, "lr": 6e-05, "memory": 16095, "data_time": 0.00731, "decode.loss_seg": 0.75326, "decode.acc_seg": 59.32009, "aux.loss_seg": 0.44621, "aux.acc_seg": 53.03336, "loss": 1.19948, "time": 0.40499} +{"mode": "train", "epoch": 7, "iter": 4400, "lr": 6e-05, "memory": 16095, "data_time": 0.00761, "decode.loss_seg": 0.74408, "decode.acc_seg": 59.47366, "aux.loss_seg": 0.43322, "aux.acc_seg": 53.27056, "loss": 1.1773, "time": 0.40496} +{"mode": "train", "epoch": 8, "iter": 4450, "lr": 6e-05, "memory": 16095, "data_time": 0.16633, "decode.loss_seg": 0.72539, "decode.acc_seg": 59.4346, "aux.loss_seg": 0.43274, "aux.acc_seg": 52.62556, "loss": 1.15814, "time": 0.56674} +{"mode": "train", "epoch": 8, "iter": 4500, "lr": 6e-05, "memory": 16095, "data_time": 0.00741, "decode.loss_seg": 0.71629, "decode.acc_seg": 60.43662, "aux.loss_seg": 0.43295, "aux.acc_seg": 53.52994, "loss": 1.14924, "time": 0.4063} +{"mode": "train", "epoch": 8, "iter": 4550, "lr": 6e-05, "memory": 16095, "data_time": 0.00758, "decode.loss_seg": 0.70421, "decode.acc_seg": 59.74576, "aux.loss_seg": 0.42066, "aux.acc_seg": 53.28745, "loss": 1.12487, "time": 0.40655} +{"mode": "train", "epoch": 8, "iter": 4600, "lr": 6e-05, "memory": 16095, "data_time": 0.00774, "decode.loss_seg": 0.72569, "decode.acc_seg": 60.99677, "aux.loss_seg": 0.43559, "aux.acc_seg": 53.75512, "loss": 1.16128, "time": 0.40586} +{"mode": "train", "epoch": 8, "iter": 4650, "lr": 6e-05, "memory": 16095, "data_time": 0.00756, "decode.loss_seg": 0.6997, "decode.acc_seg": 60.8197, "aux.loss_seg": 0.41925, "aux.acc_seg": 54.08159, "loss": 1.11895, "time": 0.4052} +{"mode": "train", "epoch": 8, "iter": 4700, "lr": 6e-05, "memory": 16095, "data_time": 0.00735, "decode.loss_seg": 0.71367, "decode.acc_seg": 59.51221, "aux.loss_seg": 0.42135, "aux.acc_seg": 53.16073, "loss": 1.13502, "time": 0.40549} +{"mode": "train", "epoch": 8, "iter": 4750, "lr": 6e-05, "memory": 16095, "data_time": 0.00743, "decode.loss_seg": 0.713, "decode.acc_seg": 61.22638, "aux.loss_seg": 0.41672, "aux.acc_seg": 54.65673, "loss": 1.12971, "time": 0.40532} +{"mode": "train", "epoch": 8, "iter": 4800, "lr": 6e-05, "memory": 16095, "data_time": 0.00755, "decode.loss_seg": 0.68733, "decode.acc_seg": 61.42691, "aux.loss_seg": 0.40619, "aux.acc_seg": 54.86766, "loss": 1.09351, "time": 0.40545} +{"mode": "train", "epoch": 8, "iter": 4850, "lr": 6e-05, "memory": 16095, "data_time": 0.00755, "decode.loss_seg": 0.72371, "decode.acc_seg": 60.12875, "aux.loss_seg": 0.43179, "aux.acc_seg": 53.34408, "loss": 1.1555, "time": 0.40551} +{"mode": "train", "epoch": 8, "iter": 4900, "lr": 6e-05, "memory": 16095, "data_time": 0.00748, "decode.loss_seg": 0.72466, "decode.acc_seg": 59.97055, "aux.loss_seg": 0.42483, "aux.acc_seg": 53.98774, "loss": 1.14949, "time": 0.40509} +{"mode": "train", "epoch": 8, "iter": 4950, "lr": 6e-05, "memory": 16095, "data_time": 0.00746, "decode.loss_seg": 0.70118, "decode.acc_seg": 60.26942, "aux.loss_seg": 0.41837, "aux.acc_seg": 53.77172, "loss": 1.11955, "time": 0.40475} +{"mode": "train", "epoch": 8, "iter": 5000, "lr": 6e-05, "memory": 16095, "data_time": 0.00711, "decode.loss_seg": 0.71973, "decode.acc_seg": 58.51467, "aux.loss_seg": 0.41921, "aux.acc_seg": 52.69217, "loss": 1.13894, "time": 0.40478} +{"mode": "train", "epoch": 9, "iter": 5050, "lr": 6e-05, "memory": 16095, "data_time": 0.15697, "decode.loss_seg": 0.72826, "decode.acc_seg": 60.23231, "aux.loss_seg": 0.43286, "aux.acc_seg": 53.48393, "loss": 1.16112, "time": 0.57639} +{"mode": "train", "epoch": 9, "iter": 5100, "lr": 6e-05, "memory": 16095, "data_time": 0.00761, "decode.loss_seg": 0.6791, "decode.acc_seg": 61.93716, "aux.loss_seg": 0.40864, "aux.acc_seg": 55.50957, "loss": 1.08774, "time": 0.40579} +{"mode": "train", "epoch": 9, "iter": 5150, "lr": 6e-05, "memory": 16095, "data_time": 0.00752, "decode.loss_seg": 0.70065, "decode.acc_seg": 60.80773, "aux.loss_seg": 0.42441, "aux.acc_seg": 53.84451, "loss": 1.12505, "time": 0.40596} +{"mode": "train", "epoch": 9, "iter": 5200, "lr": 6e-05, "memory": 16095, "data_time": 0.00753, "decode.loss_seg": 0.6963, "decode.acc_seg": 59.81919, "aux.loss_seg": 0.41043, "aux.acc_seg": 53.37297, "loss": 1.10673, "time": 0.40545} +{"mode": "train", "epoch": 9, "iter": 5250, "lr": 6e-05, "memory": 16095, "data_time": 0.00649, "decode.loss_seg": 0.67788, "decode.acc_seg": 59.88833, "aux.loss_seg": 0.404, "aux.acc_seg": 53.49049, "loss": 1.08188, "time": 0.40462} +{"mode": "train", "epoch": 9, "iter": 5300, "lr": 6e-05, "memory": 16095, "data_time": 0.00665, "decode.loss_seg": 0.68427, "decode.acc_seg": 61.72868, "aux.loss_seg": 0.41039, "aux.acc_seg": 55.21094, "loss": 1.09466, "time": 0.40502} +{"mode": "train", "epoch": 9, "iter": 5350, "lr": 6e-05, "memory": 16095, "data_time": 0.00663, "decode.loss_seg": 0.69959, "decode.acc_seg": 60.53708, "aux.loss_seg": 0.41088, "aux.acc_seg": 54.2156, "loss": 1.11047, "time": 0.40441} +{"mode": "train", "epoch": 9, "iter": 5400, "lr": 6e-05, "memory": 16095, "data_time": 0.00636, "decode.loss_seg": 0.69308, "decode.acc_seg": 60.26575, "aux.loss_seg": 0.40735, "aux.acc_seg": 53.936, "loss": 1.10043, "time": 0.40486} +{"mode": "train", "epoch": 9, "iter": 5450, "lr": 6e-05, "memory": 16095, "data_time": 0.00638, "decode.loss_seg": 0.64426, "decode.acc_seg": 61.80226, "aux.loss_seg": 0.3867, "aux.acc_seg": 55.2382, "loss": 1.03096, "time": 0.40425} +{"mode": "train", "epoch": 9, "iter": 5500, "lr": 6e-05, "memory": 16095, "data_time": 0.00653, "decode.loss_seg": 0.68694, "decode.acc_seg": 61.64481, "aux.loss_seg": 0.41445, "aux.acc_seg": 54.28422, "loss": 1.10139, "time": 0.40391} +{"mode": "train", "epoch": 9, "iter": 5550, "lr": 6e-05, "memory": 16095, "data_time": 0.00663, "decode.loss_seg": 0.69242, "decode.acc_seg": 61.27015, "aux.loss_seg": 0.4123, "aux.acc_seg": 54.37273, "loss": 1.10472, "time": 0.40445} +{"mode": "train", "epoch": 9, "iter": 5600, "lr": 6e-05, "memory": 16095, "data_time": 0.00673, "decode.loss_seg": 0.66433, "decode.acc_seg": 60.55396, "aux.loss_seg": 0.39597, "aux.acc_seg": 53.8833, "loss": 1.06031, "time": 0.40406} +{"mode": "train", "epoch": 9, "iter": 5650, "lr": 6e-05, "memory": 16095, "data_time": 0.00654, "decode.loss_seg": 0.67396, "decode.acc_seg": 60.73575, "aux.loss_seg": 0.39931, "aux.acc_seg": 54.42607, "loss": 1.07327, "time": 0.40434} +{"mode": "train", "epoch": 10, "iter": 5700, "lr": 6e-05, "memory": 16095, "data_time": 0.17634, "decode.loss_seg": 0.6559, "decode.acc_seg": 61.77077, "aux.loss_seg": 0.39694, "aux.acc_seg": 55.17406, "loss": 1.05284, "time": 0.57435} +{"mode": "train", "epoch": 10, "iter": 5750, "lr": 6e-05, "memory": 16095, "data_time": 0.009, "decode.loss_seg": 0.65488, "decode.acc_seg": 62.1461, "aux.loss_seg": 0.39519, "aux.acc_seg": 55.27239, "loss": 1.05007, "time": 0.40969} +{"mode": "train", "epoch": 10, "iter": 5800, "lr": 6e-05, "memory": 16095, "data_time": 0.00986, "decode.loss_seg": 0.64441, "decode.acc_seg": 62.60839, "aux.loss_seg": 0.3853, "aux.acc_seg": 55.72762, "loss": 1.02971, "time": 0.40766} +{"mode": "train", "epoch": 10, "iter": 5850, "lr": 6e-05, "memory": 16095, "data_time": 0.01041, "decode.loss_seg": 0.66005, "decode.acc_seg": 61.42315, "aux.loss_seg": 0.39456, "aux.acc_seg": 54.78415, "loss": 1.05461, "time": 0.40852} +{"mode": "train", "epoch": 10, "iter": 5900, "lr": 6e-05, "memory": 16095, "data_time": 0.01088, "decode.loss_seg": 0.68935, "decode.acc_seg": 61.07187, "aux.loss_seg": 0.40843, "aux.acc_seg": 54.20531, "loss": 1.09778, "time": 0.40819} +{"mode": "train", "epoch": 10, "iter": 5950, "lr": 6e-05, "memory": 16095, "data_time": 0.01045, "decode.loss_seg": 0.64926, "decode.acc_seg": 61.37796, "aux.loss_seg": 0.3928, "aux.acc_seg": 54.81161, "loss": 1.04207, "time": 0.40778} +{"mode": "train", "epoch": 10, "iter": 6000, "lr": 6e-05, "memory": 16095, "data_time": 0.01037, "decode.loss_seg": 0.70179, "decode.acc_seg": 60.8667, "aux.loss_seg": 0.41251, "aux.acc_seg": 54.52479, "loss": 1.1143, "time": 0.40772} +{"mode": "train", "epoch": 10, "iter": 6050, "lr": 6e-05, "memory": 16095, "data_time": 0.01089, "decode.loss_seg": 0.64142, "decode.acc_seg": 62.00178, "aux.loss_seg": 0.38245, "aux.acc_seg": 55.77511, "loss": 1.02387, "time": 0.4073} +{"mode": "train", "epoch": 10, "iter": 6100, "lr": 6e-05, "memory": 16095, "data_time": 0.01005, "decode.loss_seg": 0.69029, "decode.acc_seg": 61.64473, "aux.loss_seg": 0.40495, "aux.acc_seg": 55.12938, "loss": 1.09524, "time": 0.40717} +{"mode": "train", "epoch": 10, "iter": 6150, "lr": 6e-05, "memory": 16095, "data_time": 0.0104, "decode.loss_seg": 0.68228, "decode.acc_seg": 61.86262, "aux.loss_seg": 0.3951, "aux.acc_seg": 55.86616, "loss": 1.07738, "time": 0.40618} +{"mode": "train", "epoch": 10, "iter": 6200, "lr": 6e-05, "memory": 16095, "data_time": 0.0106, "decode.loss_seg": 0.65722, "decode.acc_seg": 61.5343, "aux.loss_seg": 0.38882, "aux.acc_seg": 55.10462, "loss": 1.04604, "time": 0.40701} +{"mode": "train", "epoch": 10, "iter": 6250, "lr": 6e-05, "memory": 16095, "data_time": 0.01026, "decode.loss_seg": 0.65241, "decode.acc_seg": 62.19625, "aux.loss_seg": 0.39036, "aux.acc_seg": 55.88429, "loss": 1.04277, "time": 0.40658} +{"mode": "train", "epoch": 10, "iter": 6300, "lr": 6e-05, "memory": 16095, "data_time": 0.01041, "decode.loss_seg": 0.66218, "decode.acc_seg": 60.77389, "aux.loss_seg": 0.38911, "aux.acc_seg": 54.26974, "loss": 1.05128, "time": 0.40738} +{"mode": "train", "epoch": 11, "iter": 6350, "lr": 6e-05, "memory": 16095, "data_time": 0.16745, "decode.loss_seg": 0.6188, "decode.acc_seg": 62.59336, "aux.loss_seg": 0.37492, "aux.acc_seg": 55.84439, "loss": 0.99372, "time": 0.57262} +{"mode": "train", "epoch": 11, "iter": 6400, "lr": 6e-05, "memory": 16095, "data_time": 0.01024, "decode.loss_seg": 0.63379, "decode.acc_seg": 61.88051, "aux.loss_seg": 0.38461, "aux.acc_seg": 55.09596, "loss": 1.0184, "time": 0.40612} +{"mode": "train", "epoch": 11, "iter": 6450, "lr": 6e-05, "memory": 16095, "data_time": 0.0098, "decode.loss_seg": 0.64093, "decode.acc_seg": 60.54758, "aux.loss_seg": 0.3867, "aux.acc_seg": 53.76872, "loss": 1.02763, "time": 0.40612} +{"mode": "train", "epoch": 11, "iter": 6500, "lr": 6e-05, "memory": 16095, "data_time": 0.00984, "decode.loss_seg": 0.66624, "decode.acc_seg": 62.05188, "aux.loss_seg": 0.39171, "aux.acc_seg": 55.63355, "loss": 1.05795, "time": 0.40567} +{"mode": "train", "epoch": 11, "iter": 6550, "lr": 6e-05, "memory": 16095, "data_time": 0.00999, "decode.loss_seg": 0.62194, "decode.acc_seg": 61.5981, "aux.loss_seg": 0.37489, "aux.acc_seg": 55.01031, "loss": 0.99683, "time": 0.40655} +{"mode": "train", "epoch": 11, "iter": 6600, "lr": 6e-05, "memory": 16095, "data_time": 0.01025, "decode.loss_seg": 0.61838, "decode.acc_seg": 61.45073, "aux.loss_seg": 0.36825, "aux.acc_seg": 55.06405, "loss": 0.98663, "time": 0.4069} +{"mode": "train", "epoch": 11, "iter": 6650, "lr": 6e-05, "memory": 16095, "data_time": 0.01014, "decode.loss_seg": 0.64284, "decode.acc_seg": 61.36464, "aux.loss_seg": 0.37816, "aux.acc_seg": 55.10573, "loss": 1.021, "time": 0.40602} +{"mode": "train", "epoch": 11, "iter": 6700, "lr": 6e-05, "memory": 16095, "data_time": 0.01054, "decode.loss_seg": 0.67751, "decode.acc_seg": 61.83159, "aux.loss_seg": 0.40218, "aux.acc_seg": 55.17807, "loss": 1.07969, "time": 0.40682} +{"mode": "train", "epoch": 11, "iter": 6750, "lr": 6e-05, "memory": 16095, "data_time": 0.00938, "decode.loss_seg": 0.64842, "decode.acc_seg": 62.80542, "aux.loss_seg": 0.39406, "aux.acc_seg": 56.24439, "loss": 1.04247, "time": 0.40646} +{"mode": "train", "epoch": 11, "iter": 6800, "lr": 6e-05, "memory": 16095, "data_time": 0.00937, "decode.loss_seg": 0.65003, "decode.acc_seg": 61.81843, "aux.loss_seg": 0.38229, "aux.acc_seg": 55.26422, "loss": 1.03232, "time": 0.40655} +{"mode": "train", "epoch": 11, "iter": 6850, "lr": 6e-05, "memory": 16095, "data_time": 0.00968, "decode.loss_seg": 0.62624, "decode.acc_seg": 61.85802, "aux.loss_seg": 0.36656, "aux.acc_seg": 55.99402, "loss": 0.9928, "time": 0.40626} +{"mode": "train", "epoch": 11, "iter": 6900, "lr": 6e-05, "memory": 16095, "data_time": 0.00964, "decode.loss_seg": 0.65564, "decode.acc_seg": 62.28498, "aux.loss_seg": 0.38521, "aux.acc_seg": 55.63316, "loss": 1.04085, "time": 0.406} +{"mode": "train", "epoch": 12, "iter": 6950, "lr": 6e-05, "memory": 16095, "data_time": 0.15498, "decode.loss_seg": 0.64479, "decode.acc_seg": 61.72041, "aux.loss_seg": 0.381, "aux.acc_seg": 55.43685, "loss": 1.02579, "time": 0.55882} +{"mode": "train", "epoch": 12, "iter": 7000, "lr": 6e-05, "memory": 16095, "data_time": 0.006, "decode.loss_seg": 0.61802, "decode.acc_seg": 63.53388, "aux.loss_seg": 0.37459, "aux.acc_seg": 56.76274, "loss": 0.99261, "time": 0.40527} +{"mode": "train", "epoch": 12, "iter": 7050, "lr": 6e-05, "memory": 16095, "data_time": 0.00613, "decode.loss_seg": 0.61209, "decode.acc_seg": 61.15282, "aux.loss_seg": 0.36849, "aux.acc_seg": 54.73801, "loss": 0.98058, "time": 0.40536} +{"mode": "train", "epoch": 12, "iter": 7100, "lr": 6e-05, "memory": 16095, "data_time": 0.00612, "decode.loss_seg": 0.64553, "decode.acc_seg": 61.22515, "aux.loss_seg": 0.3807, "aux.acc_seg": 54.75451, "loss": 1.02623, "time": 0.40576} +{"mode": "train", "epoch": 12, "iter": 7150, "lr": 6e-05, "memory": 16095, "data_time": 0.00622, "decode.loss_seg": 0.62707, "decode.acc_seg": 62.67586, "aux.loss_seg": 0.36313, "aux.acc_seg": 56.95317, "loss": 0.9902, "time": 0.40569} +{"mode": "train", "epoch": 12, "iter": 7200, "lr": 6e-05, "memory": 16095, "data_time": 0.00607, "decode.loss_seg": 0.62744, "decode.acc_seg": 61.26676, "aux.loss_seg": 0.3739, "aux.acc_seg": 55.17327, "loss": 1.00134, "time": 0.40582} +{"mode": "train", "epoch": 12, "iter": 7250, "lr": 6e-05, "memory": 16095, "data_time": 0.00599, "decode.loss_seg": 0.62434, "decode.acc_seg": 63.50908, "aux.loss_seg": 0.37742, "aux.acc_seg": 56.67325, "loss": 1.00175, "time": 0.4055} +{"mode": "train", "epoch": 12, "iter": 7300, "lr": 6e-05, "memory": 16095, "data_time": 0.00619, "decode.loss_seg": 0.61766, "decode.acc_seg": 62.57454, "aux.loss_seg": 0.37022, "aux.acc_seg": 55.95558, "loss": 0.98788, "time": 0.40558} +{"mode": "train", "epoch": 12, "iter": 7350, "lr": 6e-05, "memory": 16095, "data_time": 0.00628, "decode.loss_seg": 0.62006, "decode.acc_seg": 62.22527, "aux.loss_seg": 0.3692, "aux.acc_seg": 55.97331, "loss": 0.98926, "time": 0.40536} +{"mode": "train", "epoch": 12, "iter": 7400, "lr": 6e-05, "memory": 16095, "data_time": 0.00605, "decode.loss_seg": 0.62146, "decode.acc_seg": 62.28155, "aux.loss_seg": 0.37089, "aux.acc_seg": 55.60322, "loss": 0.99236, "time": 0.40499} +{"mode": "train", "epoch": 12, "iter": 7450, "lr": 6e-05, "memory": 16095, "data_time": 0.00598, "decode.loss_seg": 0.63048, "decode.acc_seg": 62.99581, "aux.loss_seg": 0.37283, "aux.acc_seg": 56.4669, "loss": 1.00331, "time": 0.40531} +{"mode": "train", "epoch": 12, "iter": 7500, "lr": 6e-05, "memory": 16095, "data_time": 0.00594, "decode.loss_seg": 0.6331, "decode.acc_seg": 62.68198, "aux.loss_seg": 0.3785, "aux.acc_seg": 56.05437, "loss": 1.0116, "time": 0.40561} +{"mode": "train", "epoch": 12, "iter": 7550, "lr": 6e-05, "memory": 16095, "data_time": 0.00624, "decode.loss_seg": 0.61798, "decode.acc_seg": 61.75315, "aux.loss_seg": 0.36589, "aux.acc_seg": 55.58929, "loss": 0.98388, "time": 0.40488} +{"mode": "train", "epoch": 13, "iter": 7600, "lr": 6e-05, "memory": 16095, "data_time": 0.16319, "decode.loss_seg": 0.62516, "decode.acc_seg": 62.13511, "aux.loss_seg": 0.37355, "aux.acc_seg": 55.75623, "loss": 0.99871, "time": 0.56392} +{"mode": "train", "epoch": 13, "iter": 7650, "lr": 6e-05, "memory": 16095, "data_time": 0.00962, "decode.loss_seg": 0.60824, "decode.acc_seg": 63.32376, "aux.loss_seg": 0.37099, "aux.acc_seg": 56.71048, "loss": 0.97923, "time": 0.40577} +{"mode": "train", "epoch": 13, "iter": 7700, "lr": 6e-05, "memory": 16095, "data_time": 0.01016, "decode.loss_seg": 0.60194, "decode.acc_seg": 62.16663, "aux.loss_seg": 0.36807, "aux.acc_seg": 55.32545, "loss": 0.97001, "time": 0.40643} +{"mode": "train", "epoch": 13, "iter": 7750, "lr": 6e-05, "memory": 16095, "data_time": 0.01016, "decode.loss_seg": 0.62676, "decode.acc_seg": 62.45553, "aux.loss_seg": 0.37733, "aux.acc_seg": 55.80151, "loss": 1.00409, "time": 0.40639} +{"mode": "train", "epoch": 13, "iter": 7800, "lr": 6e-05, "memory": 16095, "data_time": 0.00984, "decode.loss_seg": 0.60059, "decode.acc_seg": 62.30451, "aux.loss_seg": 0.36551, "aux.acc_seg": 55.61612, "loss": 0.96609, "time": 0.4064} +{"mode": "train", "epoch": 13, "iter": 7850, "lr": 6e-05, "memory": 16095, "data_time": 0.0097, "decode.loss_seg": 0.62252, "decode.acc_seg": 61.50241, "aux.loss_seg": 0.36721, "aux.acc_seg": 55.75152, "loss": 0.98974, "time": 0.4063} +{"mode": "train", "epoch": 13, "iter": 7900, "lr": 6e-05, "memory": 16095, "data_time": 0.00924, "decode.loss_seg": 0.60327, "decode.acc_seg": 62.55803, "aux.loss_seg": 0.3548, "aux.acc_seg": 56.63338, "loss": 0.95807, "time": 0.40558} +{"mode": "train", "epoch": 13, "iter": 7950, "lr": 6e-05, "memory": 16095, "data_time": 0.00992, "decode.loss_seg": 0.5934, "decode.acc_seg": 63.92727, "aux.loss_seg": 0.35928, "aux.acc_seg": 57.26809, "loss": 0.95268, "time": 0.4054} +{"mode": "train", "epoch": 13, "iter": 8000, "lr": 6e-05, "memory": 16095, "data_time": 0.00992, "decode.loss_seg": 0.59228, "decode.acc_seg": 63.26296, "aux.loss_seg": 0.35039, "aux.acc_seg": 57.39817, "loss": 0.94267, "time": 0.40544} +{"mode": "train", "epoch": 13, "iter": 8050, "lr": 6e-05, "memory": 16095, "data_time": 0.0097, "decode.loss_seg": 0.61077, "decode.acc_seg": 62.93024, "aux.loss_seg": 0.36391, "aux.acc_seg": 56.29114, "loss": 0.97468, "time": 0.40548} +{"mode": "train", "epoch": 13, "iter": 8100, "lr": 6e-05, "memory": 16095, "data_time": 0.00971, "decode.loss_seg": 0.61221, "decode.acc_seg": 62.69875, "aux.loss_seg": 0.36319, "aux.acc_seg": 56.06654, "loss": 0.9754, "time": 0.40539} +{"mode": "train", "epoch": 13, "iter": 8150, "lr": 6e-05, "memory": 16095, "data_time": 0.01005, "decode.loss_seg": 0.60993, "decode.acc_seg": 62.09643, "aux.loss_seg": 0.36488, "aux.acc_seg": 55.40056, "loss": 0.97482, "time": 0.40504} +{"mode": "train", "epoch": 13, "iter": 8200, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.61029, "decode.acc_seg": 62.14176, "aux.loss_seg": 0.35724, "aux.acc_seg": 56.31351, "loss": 0.96754, "time": 0.40476} +{"mode": "train", "epoch": 14, "iter": 8250, "lr": 6e-05, "memory": 16095, "data_time": 0.16205, "decode.loss_seg": 0.58338, "decode.acc_seg": 63.91815, "aux.loss_seg": 0.35037, "aux.acc_seg": 57.48256, "loss": 0.93375, "time": 0.55787} +{"mode": "train", "epoch": 14, "iter": 8300, "lr": 6e-05, "memory": 16095, "data_time": 0.01056, "decode.loss_seg": 0.56193, "decode.acc_seg": 63.90361, "aux.loss_seg": 0.33954, "aux.acc_seg": 57.4784, "loss": 0.90147, "time": 0.40579} +{"mode": "train", "epoch": 14, "iter": 8350, "lr": 6e-05, "memory": 16095, "data_time": 0.01006, "decode.loss_seg": 0.59628, "decode.acc_seg": 63.5889, "aux.loss_seg": 0.36445, "aux.acc_seg": 56.77442, "loss": 0.96073, "time": 0.40627} +{"mode": "train", "epoch": 14, "iter": 8400, "lr": 6e-05, "memory": 16095, "data_time": 0.01019, "decode.loss_seg": 0.58586, "decode.acc_seg": 64.02334, "aux.loss_seg": 0.35417, "aux.acc_seg": 57.43617, "loss": 0.94003, "time": 0.40639} +{"mode": "train", "epoch": 14, "iter": 8450, "lr": 6e-05, "memory": 16095, "data_time": 0.01002, "decode.loss_seg": 0.58315, "decode.acc_seg": 62.63811, "aux.loss_seg": 0.34546, "aux.acc_seg": 56.70546, "loss": 0.92861, "time": 0.40634} +{"mode": "train", "epoch": 14, "iter": 8500, "lr": 6e-05, "memory": 16095, "data_time": 0.01025, "decode.loss_seg": 0.57867, "decode.acc_seg": 62.03077, "aux.loss_seg": 0.34513, "aux.acc_seg": 55.72512, "loss": 0.92381, "time": 0.40574} +{"mode": "train", "epoch": 14, "iter": 8550, "lr": 6e-05, "memory": 16095, "data_time": 0.01008, "decode.loss_seg": 0.5867, "decode.acc_seg": 63.93577, "aux.loss_seg": 0.34708, "aux.acc_seg": 57.67646, "loss": 0.93378, "time": 0.40543} +{"mode": "train", "epoch": 14, "iter": 8600, "lr": 6e-05, "memory": 16095, "data_time": 0.00968, "decode.loss_seg": 0.61167, "decode.acc_seg": 63.70165, "aux.loss_seg": 0.3695, "aux.acc_seg": 56.90427, "loss": 0.98117, "time": 0.40542} +{"mode": "train", "epoch": 14, "iter": 8650, "lr": 6e-05, "memory": 16095, "data_time": 0.01013, "decode.loss_seg": 0.60467, "decode.acc_seg": 63.23315, "aux.loss_seg": 0.36168, "aux.acc_seg": 56.67054, "loss": 0.96635, "time": 0.40531} +{"mode": "train", "epoch": 14, "iter": 8700, "lr": 6e-05, "memory": 16095, "data_time": 0.01037, "decode.loss_seg": 0.58934, "decode.acc_seg": 62.27251, "aux.loss_seg": 0.35293, "aux.acc_seg": 56.20635, "loss": 0.94226, "time": 0.40592} +{"mode": "train", "epoch": 14, "iter": 8750, "lr": 6e-05, "memory": 16095, "data_time": 0.01012, "decode.loss_seg": 0.61579, "decode.acc_seg": 62.42481, "aux.loss_seg": 0.36893, "aux.acc_seg": 55.40524, "loss": 0.98472, "time": 0.4061} +{"mode": "train", "epoch": 14, "iter": 8800, "lr": 6e-05, "memory": 16095, "data_time": 0.01031, "decode.loss_seg": 0.60199, "decode.acc_seg": 62.78229, "aux.loss_seg": 0.35954, "aux.acc_seg": 56.57384, "loss": 0.96154, "time": 0.40608} +{"mode": "train", "epoch": 15, "iter": 8850, "lr": 6e-05, "memory": 16095, "data_time": 0.16415, "decode.loss_seg": 0.56494, "decode.acc_seg": 63.53339, "aux.loss_seg": 0.33736, "aux.acc_seg": 57.8299, "loss": 0.9023, "time": 0.56155} +{"mode": "train", "epoch": 15, "iter": 8900, "lr": 6e-05, "memory": 16095, "data_time": 0.00954, "decode.loss_seg": 0.55764, "decode.acc_seg": 64.26923, "aux.loss_seg": 0.33724, "aux.acc_seg": 57.74162, "loss": 0.89488, "time": 0.40519} +{"mode": "train", "epoch": 15, "iter": 8950, "lr": 6e-05, "memory": 16095, "data_time": 0.00963, "decode.loss_seg": 0.58905, "decode.acc_seg": 63.22782, "aux.loss_seg": 0.34904, "aux.acc_seg": 56.67953, "loss": 0.93809, "time": 0.40505} +{"mode": "train", "epoch": 15, "iter": 9000, "lr": 6e-05, "memory": 16095, "data_time": 0.00902, "decode.loss_seg": 0.57304, "decode.acc_seg": 63.71633, "aux.loss_seg": 0.34513, "aux.acc_seg": 57.23663, "loss": 0.91817, "time": 0.40451} +{"mode": "train", "epoch": 15, "iter": 9050, "lr": 6e-05, "memory": 16095, "data_time": 0.00882, "decode.loss_seg": 0.60357, "decode.acc_seg": 62.91836, "aux.loss_seg": 0.35587, "aux.acc_seg": 56.44256, "loss": 0.95943, "time": 0.40486} +{"mode": "train", "epoch": 15, "iter": 9100, "lr": 6e-05, "memory": 16095, "data_time": 0.00945, "decode.loss_seg": 0.57717, "decode.acc_seg": 63.24778, "aux.loss_seg": 0.33986, "aux.acc_seg": 57.49562, "loss": 0.91703, "time": 0.40454} +{"mode": "train", "epoch": 15, "iter": 9150, "lr": 6e-05, "memory": 16095, "data_time": 0.00935, "decode.loss_seg": 0.57452, "decode.acc_seg": 64.53189, "aux.loss_seg": 0.34355, "aux.acc_seg": 58.43723, "loss": 0.91807, "time": 0.40423} +{"mode": "train", "epoch": 15, "iter": 9200, "lr": 6e-05, "memory": 16095, "data_time": 0.00977, "decode.loss_seg": 0.60583, "decode.acc_seg": 63.37612, "aux.loss_seg": 0.35615, "aux.acc_seg": 57.51377, "loss": 0.96198, "time": 0.40457} +{"mode": "train", "epoch": 15, "iter": 9250, "lr": 6e-05, "memory": 16095, "data_time": 0.00909, "decode.loss_seg": 0.58175, "decode.acc_seg": 63.07213, "aux.loss_seg": 0.35402, "aux.acc_seg": 56.27496, "loss": 0.93577, "time": 0.40454} +{"mode": "train", "epoch": 15, "iter": 9300, "lr": 6e-05, "memory": 16095, "data_time": 0.0094, "decode.loss_seg": 0.57117, "decode.acc_seg": 62.40936, "aux.loss_seg": 0.34396, "aux.acc_seg": 56.18682, "loss": 0.91513, "time": 0.40462} +{"mode": "train", "epoch": 15, "iter": 9350, "lr": 6e-05, "memory": 16095, "data_time": 0.00916, "decode.loss_seg": 0.56621, "decode.acc_seg": 63.57745, "aux.loss_seg": 0.34137, "aux.acc_seg": 57.04052, "loss": 0.90758, "time": 0.40388} +{"mode": "train", "epoch": 15, "iter": 9400, "lr": 6e-05, "memory": 16095, "data_time": 0.00877, "decode.loss_seg": 0.57456, "decode.acc_seg": 63.60883, "aux.loss_seg": 0.34582, "aux.acc_seg": 57.22356, "loss": 0.92038, "time": 0.40396} +{"mode": "train", "epoch": 15, "iter": 9450, "lr": 6e-05, "memory": 16095, "data_time": 0.00884, "decode.loss_seg": 0.57661, "decode.acc_seg": 63.09516, "aux.loss_seg": 0.34492, "aux.acc_seg": 56.4312, "loss": 0.92153, "time": 0.40391} +{"mode": "train", "epoch": 16, "iter": 9500, "lr": 6e-05, "memory": 16095, "data_time": 0.15909, "decode.loss_seg": 0.58905, "decode.acc_seg": 63.56405, "aux.loss_seg": 0.35875, "aux.acc_seg": 56.67148, "loss": 0.9478, "time": 0.56601} +{"mode": "train", "epoch": 16, "iter": 9550, "lr": 6e-05, "memory": 16095, "data_time": 0.01116, "decode.loss_seg": 0.56581, "decode.acc_seg": 63.31178, "aux.loss_seg": 0.34476, "aux.acc_seg": 56.50694, "loss": 0.91056, "time": 0.40642} +{"mode": "train", "epoch": 16, "iter": 9600, "lr": 6e-05, "memory": 16095, "data_time": 0.01019, "decode.loss_seg": 0.55968, "decode.acc_seg": 64.0041, "aux.loss_seg": 0.33499, "aux.acc_seg": 58.1, "loss": 0.89468, "time": 0.40626} +{"mode": "train", "epoch": 16, "iter": 9650, "lr": 6e-05, "memory": 16095, "data_time": 0.01033, "decode.loss_seg": 0.56365, "decode.acc_seg": 65.31615, "aux.loss_seg": 0.34289, "aux.acc_seg": 58.72363, "loss": 0.90655, "time": 0.40618} +{"mode": "train", "epoch": 16, "iter": 9700, "lr": 6e-05, "memory": 16095, "data_time": 0.01032, "decode.loss_seg": 0.56353, "decode.acc_seg": 63.10301, "aux.loss_seg": 0.3344, "aux.acc_seg": 56.98945, "loss": 0.89793, "time": 0.40631} +{"mode": "train", "epoch": 16, "iter": 9750, "lr": 6e-05, "memory": 16095, "data_time": 0.01037, "decode.loss_seg": 0.56725, "decode.acc_seg": 64.55913, "aux.loss_seg": 0.33747, "aux.acc_seg": 58.29466, "loss": 0.90472, "time": 0.40608} +{"mode": "train", "epoch": 16, "iter": 9800, "lr": 6e-05, "memory": 16095, "data_time": 0.01028, "decode.loss_seg": 0.56367, "decode.acc_seg": 63.46164, "aux.loss_seg": 0.33654, "aux.acc_seg": 57.31113, "loss": 0.90021, "time": 0.40602} +{"mode": "train", "epoch": 16, "iter": 9850, "lr": 6e-05, "memory": 16095, "data_time": 0.01088, "decode.loss_seg": 0.57658, "decode.acc_seg": 64.53284, "aux.loss_seg": 0.34382, "aux.acc_seg": 58.15707, "loss": 0.92041, "time": 0.4059} +{"mode": "train", "epoch": 16, "iter": 9900, "lr": 6e-05, "memory": 16095, "data_time": 0.01086, "decode.loss_seg": 0.55535, "decode.acc_seg": 63.16656, "aux.loss_seg": 0.33259, "aux.acc_seg": 57.08679, "loss": 0.88794, "time": 0.40592} +{"mode": "train", "epoch": 16, "iter": 9950, "lr": 6e-05, "memory": 16095, "data_time": 0.01099, "decode.loss_seg": 0.56822, "decode.acc_seg": 63.87135, "aux.loss_seg": 0.33641, "aux.acc_seg": 57.73476, "loss": 0.90463, "time": 0.40574} +{"mode": "train", "epoch": 16, "iter": 10000, "lr": 6e-05, "memory": 16095, "data_time": 0.01111, "decode.loss_seg": 0.57175, "decode.acc_seg": 64.1954, "aux.loss_seg": 0.34207, "aux.acc_seg": 58.00008, "loss": 0.91381, "time": 0.40595} +{"mode": "train", "epoch": 16, "iter": 10050, "lr": 6e-05, "memory": 16095, "data_time": 0.01105, "decode.loss_seg": 0.57956, "decode.acc_seg": 63.27423, "aux.loss_seg": 0.34618, "aux.acc_seg": 57.26369, "loss": 0.92574, "time": 0.40582} +{"mode": "train", "epoch": 17, "iter": 10100, "lr": 6e-05, "memory": 16095, "data_time": 0.17277, "decode.loss_seg": 0.601, "decode.acc_seg": 62.46003, "aux.loss_seg": 0.35747, "aux.acc_seg": 56.30542, "loss": 0.95847, "time": 0.56786} +{"mode": "train", "epoch": 17, "iter": 10150, "lr": 6e-05, "memory": 16095, "data_time": 0.01052, "decode.loss_seg": 0.54505, "decode.acc_seg": 64.13275, "aux.loss_seg": 0.33374, "aux.acc_seg": 57.31329, "loss": 0.87879, "time": 0.40548} +{"mode": "train", "epoch": 17, "iter": 10200, "lr": 6e-05, "memory": 16095, "data_time": 0.01067, "decode.loss_seg": 0.55066, "decode.acc_seg": 64.38423, "aux.loss_seg": 0.33357, "aux.acc_seg": 57.92436, "loss": 0.88423, "time": 0.40544} +{"mode": "train", "epoch": 17, "iter": 10250, "lr": 6e-05, "memory": 16095, "data_time": 0.01082, "decode.loss_seg": 0.54368, "decode.acc_seg": 63.91506, "aux.loss_seg": 0.33493, "aux.acc_seg": 57.34575, "loss": 0.87861, "time": 0.40519} +{"mode": "train", "epoch": 17, "iter": 10300, "lr": 6e-05, "memory": 16095, "data_time": 0.01014, "decode.loss_seg": 0.54719, "decode.acc_seg": 64.03096, "aux.loss_seg": 0.34024, "aux.acc_seg": 57.31502, "loss": 0.88743, "time": 0.40463} +{"mode": "train", "epoch": 17, "iter": 10350, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.55058, "decode.acc_seg": 64.96814, "aux.loss_seg": 0.33345, "aux.acc_seg": 58.50383, "loss": 0.88402, "time": 0.40478} +{"mode": "train", "epoch": 17, "iter": 10400, "lr": 6e-05, "memory": 16095, "data_time": 0.01008, "decode.loss_seg": 0.54856, "decode.acc_seg": 64.4576, "aux.loss_seg": 0.33398, "aux.acc_seg": 57.5929, "loss": 0.88254, "time": 0.4049} +{"mode": "train", "epoch": 17, "iter": 10450, "lr": 6e-05, "memory": 16095, "data_time": 0.01023, "decode.loss_seg": 0.55827, "decode.acc_seg": 64.72484, "aux.loss_seg": 0.33454, "aux.acc_seg": 58.40229, "loss": 0.89281, "time": 0.40484} +{"mode": "train", "epoch": 17, "iter": 10500, "lr": 6e-05, "memory": 16095, "data_time": 0.01001, "decode.loss_seg": 0.55282, "decode.acc_seg": 64.29109, "aux.loss_seg": 0.33963, "aux.acc_seg": 57.46792, "loss": 0.89245, "time": 0.40474} +{"mode": "train", "epoch": 17, "iter": 10550, "lr": 6e-05, "memory": 16095, "data_time": 0.01034, "decode.loss_seg": 0.58531, "decode.acc_seg": 64.29054, "aux.loss_seg": 0.35298, "aux.acc_seg": 57.94826, "loss": 0.93828, "time": 0.4048} +{"mode": "train", "epoch": 17, "iter": 10600, "lr": 6e-05, "memory": 16095, "data_time": 0.00991, "decode.loss_seg": 0.54748, "decode.acc_seg": 64.39568, "aux.loss_seg": 0.33296, "aux.acc_seg": 57.99239, "loss": 0.88044, "time": 0.40443} +{"mode": "train", "epoch": 17, "iter": 10650, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.55408, "decode.acc_seg": 64.07478, "aux.loss_seg": 0.33247, "aux.acc_seg": 57.88963, "loss": 0.88655, "time": 0.40483} +{"mode": "train", "epoch": 17, "iter": 10700, "lr": 6e-05, "memory": 16095, "data_time": 0.01001, "decode.loss_seg": 0.55018, "decode.acc_seg": 63.94923, "aux.loss_seg": 0.33081, "aux.acc_seg": 57.5866, "loss": 0.88099, "time": 0.40474} +{"mode": "train", "epoch": 18, "iter": 10750, "lr": 6e-05, "memory": 16095, "data_time": 0.17156, "decode.loss_seg": 0.5497, "decode.acc_seg": 63.87009, "aux.loss_seg": 0.32641, "aux.acc_seg": 58.08735, "loss": 0.8761, "time": 0.56766} +{"mode": "train", "epoch": 18, "iter": 10800, "lr": 6e-05, "memory": 16095, "data_time": 0.00827, "decode.loss_seg": 0.55295, "decode.acc_seg": 64.48775, "aux.loss_seg": 0.33372, "aux.acc_seg": 57.97562, "loss": 0.88667, "time": 0.40328} +{"mode": "train", "epoch": 18, "iter": 10850, "lr": 6e-05, "memory": 16095, "data_time": 0.00862, "decode.loss_seg": 0.54668, "decode.acc_seg": 64.3615, "aux.loss_seg": 0.32751, "aux.acc_seg": 58.16903, "loss": 0.87419, "time": 0.40421} +{"mode": "train", "epoch": 18, "iter": 10900, "lr": 6e-05, "memory": 16095, "data_time": 0.00853, "decode.loss_seg": 0.54978, "decode.acc_seg": 63.26561, "aux.loss_seg": 0.32496, "aux.acc_seg": 57.57265, "loss": 0.87474, "time": 0.40399} +{"mode": "train", "epoch": 18, "iter": 10950, "lr": 6e-05, "memory": 16095, "data_time": 0.00831, "decode.loss_seg": 0.53123, "decode.acc_seg": 63.59081, "aux.loss_seg": 0.32587, "aux.acc_seg": 57.15855, "loss": 0.8571, "time": 0.40385} +{"mode": "train", "epoch": 18, "iter": 11000, "lr": 6e-05, "memory": 16095, "data_time": 0.00864, "decode.loss_seg": 0.55296, "decode.acc_seg": 63.68687, "aux.loss_seg": 0.33539, "aux.acc_seg": 57.25654, "loss": 0.88835, "time": 0.40396} +{"mode": "train", "epoch": 18, "iter": 11050, "lr": 6e-05, "memory": 16095, "data_time": 0.00829, "decode.loss_seg": 0.54878, "decode.acc_seg": 64.12297, "aux.loss_seg": 0.32937, "aux.acc_seg": 58.19533, "loss": 0.87815, "time": 0.40425} +{"mode": "train", "epoch": 18, "iter": 11100, "lr": 6e-05, "memory": 16095, "data_time": 0.00782, "decode.loss_seg": 0.54188, "decode.acc_seg": 63.81008, "aux.loss_seg": 0.32173, "aux.acc_seg": 57.84565, "loss": 0.86361, "time": 0.40309} +{"mode": "train", "epoch": 18, "iter": 11150, "lr": 6e-05, "memory": 16095, "data_time": 0.0081, "decode.loss_seg": 0.55895, "decode.acc_seg": 64.48038, "aux.loss_seg": 0.33942, "aux.acc_seg": 58.00986, "loss": 0.89838, "time": 0.40351} +{"mode": "train", "epoch": 18, "iter": 11200, "lr": 6e-05, "memory": 16095, "data_time": 0.00803, "decode.loss_seg": 0.52559, "decode.acc_seg": 64.56042, "aux.loss_seg": 0.32022, "aux.acc_seg": 58.05805, "loss": 0.84581, "time": 0.40349} +{"mode": "train", "epoch": 18, "iter": 11250, "lr": 6e-05, "memory": 16095, "data_time": 0.00804, "decode.loss_seg": 0.54072, "decode.acc_seg": 64.394, "aux.loss_seg": 0.32796, "aux.acc_seg": 58.10729, "loss": 0.86868, "time": 0.40339} +{"mode": "train", "epoch": 18, "iter": 11300, "lr": 6e-05, "memory": 16095, "data_time": 0.00788, "decode.loss_seg": 0.5456, "decode.acc_seg": 63.44886, "aux.loss_seg": 0.32946, "aux.acc_seg": 57.41559, "loss": 0.87505, "time": 0.40349} +{"mode": "train", "epoch": 18, "iter": 11350, "lr": 6e-05, "memory": 16095, "data_time": 0.008, "decode.loss_seg": 0.55616, "decode.acc_seg": 65.30375, "aux.loss_seg": 0.3319, "aux.acc_seg": 59.35052, "loss": 0.88805, "time": 0.40344} +{"mode": "train", "epoch": 19, "iter": 11400, "lr": 6e-05, "memory": 16095, "data_time": 0.16333, "decode.loss_seg": 0.5136, "decode.acc_seg": 65.75359, "aux.loss_seg": 0.31413, "aux.acc_seg": 59.57497, "loss": 0.82773, "time": 0.55894} +{"mode": "train", "epoch": 19, "iter": 11450, "lr": 6e-05, "memory": 16095, "data_time": 0.00724, "decode.loss_seg": 0.52955, "decode.acc_seg": 64.89189, "aux.loss_seg": 0.3286, "aux.acc_seg": 58.30833, "loss": 0.85815, "time": 0.40247} +{"mode": "train", "epoch": 19, "iter": 11500, "lr": 6e-05, "memory": 16095, "data_time": 0.00753, "decode.loss_seg": 0.55181, "decode.acc_seg": 64.36751, "aux.loss_seg": 0.33424, "aux.acc_seg": 57.91876, "loss": 0.88605, "time": 0.40257} +{"mode": "train", "epoch": 19, "iter": 11550, "lr": 6e-05, "memory": 16095, "data_time": 0.00745, "decode.loss_seg": 0.54028, "decode.acc_seg": 64.76095, "aux.loss_seg": 0.33022, "aux.acc_seg": 58.50799, "loss": 0.8705, "time": 0.40214} +{"mode": "train", "epoch": 19, "iter": 11600, "lr": 6e-05, "memory": 16095, "data_time": 0.00762, "decode.loss_seg": 0.53202, "decode.acc_seg": 65.13084, "aux.loss_seg": 0.32745, "aux.acc_seg": 58.38523, "loss": 0.85947, "time": 0.40269} +{"mode": "train", "epoch": 19, "iter": 11650, "lr": 6e-05, "memory": 16095, "data_time": 0.00776, "decode.loss_seg": 0.52917, "decode.acc_seg": 63.83999, "aux.loss_seg": 0.32213, "aux.acc_seg": 57.38308, "loss": 0.8513, "time": 0.40169} +{"mode": "train", "epoch": 19, "iter": 11700, "lr": 6e-05, "memory": 16095, "data_time": 0.00775, "decode.loss_seg": 0.521, "decode.acc_seg": 64.07798, "aux.loss_seg": 0.31616, "aux.acc_seg": 58.08667, "loss": 0.83716, "time": 0.40176} +{"mode": "train", "epoch": 19, "iter": 11750, "lr": 6e-05, "memory": 16095, "data_time": 0.0077, "decode.loss_seg": 0.52836, "decode.acc_seg": 64.05665, "aux.loss_seg": 0.32063, "aux.acc_seg": 57.74275, "loss": 0.84899, "time": 0.40153} +{"mode": "train", "epoch": 19, "iter": 11800, "lr": 6e-05, "memory": 16095, "data_time": 0.00775, "decode.loss_seg": 0.55314, "decode.acc_seg": 64.55228, "aux.loss_seg": 0.33631, "aux.acc_seg": 57.76964, "loss": 0.88945, "time": 0.40137} +{"mode": "train", "epoch": 19, "iter": 11850, "lr": 6e-05, "memory": 16095, "data_time": 0.00769, "decode.loss_seg": 0.52016, "decode.acc_seg": 64.48383, "aux.loss_seg": 0.31454, "aux.acc_seg": 58.63621, "loss": 0.83471, "time": 0.40153} +{"mode": "train", "epoch": 19, "iter": 11900, "lr": 6e-05, "memory": 16095, "data_time": 0.00758, "decode.loss_seg": 0.51625, "decode.acc_seg": 64.30538, "aux.loss_seg": 0.31226, "aux.acc_seg": 57.99659, "loss": 0.82851, "time": 0.40197} +{"mode": "train", "epoch": 19, "iter": 11950, "lr": 6e-05, "memory": 16095, "data_time": 0.00777, "decode.loss_seg": 0.54166, "decode.acc_seg": 65.00664, "aux.loss_seg": 0.33128, "aux.acc_seg": 58.53408, "loss": 0.87293, "time": 0.4016} +{"mode": "train", "epoch": 20, "iter": 12000, "lr": 6e-05, "memory": 16095, "data_time": 0.16831, "decode.loss_seg": 0.53223, "decode.acc_seg": 63.62383, "aux.loss_seg": 0.32317, "aux.acc_seg": 57.28545, "loss": 0.8554, "time": 0.56781} +{"mode": "train", "epoch": 20, "iter": 12050, "lr": 6e-05, "memory": 16095, "data_time": 0.01027, "decode.loss_seg": 0.50631, "decode.acc_seg": 65.09341, "aux.loss_seg": 0.31723, "aux.acc_seg": 58.47517, "loss": 0.82354, "time": 0.40591} +{"mode": "train", "epoch": 20, "iter": 12100, "lr": 6e-05, "memory": 16095, "data_time": 0.01009, "decode.loss_seg": 0.51234, "decode.acc_seg": 65.7886, "aux.loss_seg": 0.31754, "aux.acc_seg": 59.30195, "loss": 0.82987, "time": 0.40567} +{"mode": "train", "epoch": 20, "iter": 12150, "lr": 6e-05, "memory": 16095, "data_time": 0.01005, "decode.loss_seg": 0.50288, "decode.acc_seg": 65.24166, "aux.loss_seg": 0.30955, "aux.acc_seg": 58.94338, "loss": 0.81243, "time": 0.40571} +{"mode": "train", "epoch": 20, "iter": 12200, "lr": 6e-05, "memory": 16095, "data_time": 0.00979, "decode.loss_seg": 0.53125, "decode.acc_seg": 63.74375, "aux.loss_seg": 0.32502, "aux.acc_seg": 57.16001, "loss": 0.85627, "time": 0.4056} +{"mode": "train", "epoch": 20, "iter": 12250, "lr": 6e-05, "memory": 16095, "data_time": 0.0098, "decode.loss_seg": 0.50878, "decode.acc_seg": 65.36973, "aux.loss_seg": 0.31442, "aux.acc_seg": 58.91589, "loss": 0.8232, "time": 0.40541} +{"mode": "train", "epoch": 20, "iter": 12300, "lr": 6e-05, "memory": 16095, "data_time": 0.00999, "decode.loss_seg": 0.53546, "decode.acc_seg": 64.32945, "aux.loss_seg": 0.32718, "aux.acc_seg": 57.97725, "loss": 0.86264, "time": 0.40547} +{"mode": "train", "epoch": 20, "iter": 12350, "lr": 6e-05, "memory": 16095, "data_time": 0.01023, "decode.loss_seg": 0.51146, "decode.acc_seg": 64.83277, "aux.loss_seg": 0.31457, "aux.acc_seg": 58.61867, "loss": 0.82603, "time": 0.40589} +{"mode": "train", "epoch": 20, "iter": 12400, "lr": 6e-05, "memory": 16095, "data_time": 0.00995, "decode.loss_seg": 0.52337, "decode.acc_seg": 64.46467, "aux.loss_seg": 0.31548, "aux.acc_seg": 58.3861, "loss": 0.83886, "time": 0.40506} +{"mode": "train", "epoch": 20, "iter": 12450, "lr": 6e-05, "memory": 16095, "data_time": 0.00994, "decode.loss_seg": 0.53605, "decode.acc_seg": 64.90418, "aux.loss_seg": 0.32536, "aux.acc_seg": 58.50263, "loss": 0.86141, "time": 0.40508} +{"mode": "train", "epoch": 20, "iter": 12500, "lr": 6e-05, "memory": 16095, "data_time": 0.01087, "decode.loss_seg": 0.52811, "decode.acc_seg": 65.37746, "aux.loss_seg": 0.32344, "aux.acc_seg": 58.76015, "loss": 0.85155, "time": 0.40604} +{"mode": "train", "epoch": 20, "iter": 12550, "lr": 6e-05, "memory": 16095, "data_time": 0.01088, "decode.loss_seg": 0.54863, "decode.acc_seg": 63.31909, "aux.loss_seg": 0.3238, "aux.acc_seg": 57.52095, "loss": 0.87242, "time": 0.40549} +{"mode": "train", "epoch": 20, "iter": 12600, "lr": 6e-05, "memory": 16095, "data_time": 0.01062, "decode.loss_seg": 0.54401, "decode.acc_seg": 64.15271, "aux.loss_seg": 0.32132, "aux.acc_seg": 58.31783, "loss": 0.86533, "time": 0.40487} +{"mode": "train", "epoch": 21, "iter": 12650, "lr": 6e-05, "memory": 16095, "data_time": 0.15984, "decode.loss_seg": 0.51845, "decode.acc_seg": 64.6851, "aux.loss_seg": 0.31773, "aux.acc_seg": 58.21142, "loss": 0.83619, "time": 0.56364} +{"mode": "train", "epoch": 21, "iter": 12700, "lr": 6e-05, "memory": 16095, "data_time": 0.00835, "decode.loss_seg": 0.52007, "decode.acc_seg": 64.48377, "aux.loss_seg": 0.31393, "aux.acc_seg": 58.45852, "loss": 0.834, "time": 0.40451} +{"mode": "train", "epoch": 21, "iter": 12750, "lr": 6e-05, "memory": 16095, "data_time": 0.0081, "decode.loss_seg": 0.50728, "decode.acc_seg": 65.27989, "aux.loss_seg": 0.3133, "aux.acc_seg": 59.00729, "loss": 0.82058, "time": 0.40394} +{"mode": "train", "epoch": 21, "iter": 12800, "lr": 6e-05, "memory": 16095, "data_time": 0.00799, "decode.loss_seg": 0.51196, "decode.acc_seg": 65.26038, "aux.loss_seg": 0.3176, "aux.acc_seg": 58.5706, "loss": 0.82956, "time": 0.40378} +{"mode": "train", "epoch": 21, "iter": 12850, "lr": 6e-05, "memory": 16095, "data_time": 0.0084, "decode.loss_seg": 0.51953, "decode.acc_seg": 65.50977, "aux.loss_seg": 0.31816, "aux.acc_seg": 59.03756, "loss": 0.83769, "time": 0.40338} +{"mode": "train", "epoch": 21, "iter": 12900, "lr": 6e-05, "memory": 16095, "data_time": 0.00847, "decode.loss_seg": 0.51475, "decode.acc_seg": 65.16708, "aux.loss_seg": 0.31211, "aux.acc_seg": 59.01799, "loss": 0.82686, "time": 0.40322} +{"mode": "train", "epoch": 21, "iter": 12950, "lr": 6e-05, "memory": 16095, "data_time": 0.00856, "decode.loss_seg": 0.50932, "decode.acc_seg": 64.97349, "aux.loss_seg": 0.30868, "aux.acc_seg": 58.82581, "loss": 0.818, "time": 0.40308} +{"mode": "train", "epoch": 21, "iter": 13000, "lr": 6e-05, "memory": 16095, "data_time": 0.00843, "decode.loss_seg": 0.52688, "decode.acc_seg": 63.82706, "aux.loss_seg": 0.31603, "aux.acc_seg": 58.14145, "loss": 0.8429, "time": 0.40291} +{"mode": "train", "epoch": 21, "iter": 13050, "lr": 6e-05, "memory": 16095, "data_time": 0.00799, "decode.loss_seg": 0.50621, "decode.acc_seg": 64.84046, "aux.loss_seg": 0.30639, "aux.acc_seg": 58.56102, "loss": 0.8126, "time": 0.40311} +{"mode": "train", "epoch": 21, "iter": 13100, "lr": 6e-05, "memory": 16095, "data_time": 0.008, "decode.loss_seg": 0.50793, "decode.acc_seg": 65.01917, "aux.loss_seg": 0.30878, "aux.acc_seg": 58.93412, "loss": 0.81671, "time": 0.4036} +{"mode": "train", "epoch": 21, "iter": 13150, "lr": 6e-05, "memory": 16095, "data_time": 0.00801, "decode.loss_seg": 0.51531, "decode.acc_seg": 64.9338, "aux.loss_seg": 0.31415, "aux.acc_seg": 58.77243, "loss": 0.82946, "time": 0.40373} +{"mode": "train", "epoch": 21, "iter": 13200, "lr": 6e-05, "memory": 16095, "data_time": 0.00851, "decode.loss_seg": 0.5239, "decode.acc_seg": 63.89151, "aux.loss_seg": 0.30811, "aux.acc_seg": 57.90282, "loss": 0.83201, "time": 0.40303} +{"mode": "train", "epoch": 21, "iter": 13250, "lr": 6e-05, "memory": 16095, "data_time": 0.00865, "decode.loss_seg": 0.52794, "decode.acc_seg": 64.67604, "aux.loss_seg": 0.31764, "aux.acc_seg": 58.61249, "loss": 0.84558, "time": 0.40338} +{"mode": "train", "epoch": 22, "iter": 13300, "lr": 6e-05, "memory": 16095, "data_time": 0.16579, "decode.loss_seg": 0.49961, "decode.acc_seg": 66.03681, "aux.loss_seg": 0.31254, "aux.acc_seg": 59.71099, "loss": 0.81215, "time": 0.56231} +{"mode": "train", "epoch": 22, "iter": 13350, "lr": 5e-05, "memory": 16095, "data_time": 0.00891, "decode.loss_seg": 0.48374, "decode.acc_seg": 64.54525, "aux.loss_seg": 0.30261, "aux.acc_seg": 58.08452, "loss": 0.78634, "time": 0.40346} +{"mode": "train", "epoch": 22, "iter": 13400, "lr": 5e-05, "memory": 16095, "data_time": 0.00909, "decode.loss_seg": 0.4814, "decode.acc_seg": 65.92423, "aux.loss_seg": 0.30418, "aux.acc_seg": 59.52317, "loss": 0.78558, "time": 0.40405} +{"mode": "train", "epoch": 22, "iter": 13450, "lr": 5e-05, "memory": 16095, "data_time": 0.0089, "decode.loss_seg": 0.50012, "decode.acc_seg": 64.53413, "aux.loss_seg": 0.30802, "aux.acc_seg": 58.16728, "loss": 0.80814, "time": 0.404} +{"mode": "train", "epoch": 22, "iter": 13500, "lr": 5e-05, "memory": 16095, "data_time": 0.00898, "decode.loss_seg": 0.51081, "decode.acc_seg": 64.84359, "aux.loss_seg": 0.31741, "aux.acc_seg": 58.3407, "loss": 0.82822, "time": 0.40409} +{"mode": "train", "epoch": 22, "iter": 13550, "lr": 5e-05, "memory": 16095, "data_time": 0.00966, "decode.loss_seg": 0.51333, "decode.acc_seg": 65.71796, "aux.loss_seg": 0.32214, "aux.acc_seg": 58.91627, "loss": 0.83547, "time": 0.40448} +{"mode": "train", "epoch": 22, "iter": 13600, "lr": 5e-05, "memory": 16095, "data_time": 0.00975, "decode.loss_seg": 0.53437, "decode.acc_seg": 64.9271, "aux.loss_seg": 0.31683, "aux.acc_seg": 59.18174, "loss": 0.85121, "time": 0.40477} +{"mode": "train", "epoch": 22, "iter": 13650, "lr": 5e-05, "memory": 16095, "data_time": 0.00952, "decode.loss_seg": 0.51805, "decode.acc_seg": 64.44733, "aux.loss_seg": 0.31292, "aux.acc_seg": 58.38792, "loss": 0.83097, "time": 0.40441} +{"mode": "train", "epoch": 22, "iter": 13700, "lr": 5e-05, "memory": 16095, "data_time": 0.00918, "decode.loss_seg": 0.49257, "decode.acc_seg": 64.9924, "aux.loss_seg": 0.30131, "aux.acc_seg": 58.87088, "loss": 0.79388, "time": 0.40441} +{"mode": "train", "epoch": 22, "iter": 13750, "lr": 5e-05, "memory": 16095, "data_time": 0.00945, "decode.loss_seg": 0.49919, "decode.acc_seg": 66.47465, "aux.loss_seg": 0.3001, "aux.acc_seg": 60.4104, "loss": 0.7993, "time": 0.40476} +{"mode": "train", "epoch": 22, "iter": 13800, "lr": 5e-05, "memory": 16095, "data_time": 0.00958, "decode.loss_seg": 0.51514, "decode.acc_seg": 65.31112, "aux.loss_seg": 0.31548, "aux.acc_seg": 58.70648, "loss": 0.83062, "time": 0.40477} +{"mode": "train", "epoch": 22, "iter": 13850, "lr": 5e-05, "memory": 16095, "data_time": 0.00942, "decode.loss_seg": 0.51506, "decode.acc_seg": 64.17508, "aux.loss_seg": 0.31202, "aux.acc_seg": 57.93546, "loss": 0.82708, "time": 0.40406} +{"mode": "train", "epoch": 23, "iter": 13900, "lr": 5e-05, "memory": 16095, "data_time": 0.17449, "decode.loss_seg": 0.50392, "decode.acc_seg": 65.34, "aux.loss_seg": 0.30245, "aux.acc_seg": 59.25916, "loss": 0.80637, "time": 0.5689} +{"mode": "train", "epoch": 23, "iter": 13950, "lr": 5e-05, "memory": 16095, "data_time": 0.00902, "decode.loss_seg": 0.47967, "decode.acc_seg": 65.42132, "aux.loss_seg": 0.29994, "aux.acc_seg": 59.06978, "loss": 0.77961, "time": 0.40282} +{"mode": "train", "epoch": 23, "iter": 14000, "lr": 5e-05, "memory": 16095, "data_time": 0.00919, "decode.loss_seg": 0.50372, "decode.acc_seg": 65.70442, "aux.loss_seg": 0.31104, "aux.acc_seg": 59.25935, "loss": 0.81475, "time": 0.40298} +{"mode": "train", "epoch": 23, "iter": 14050, "lr": 5e-05, "memory": 16095, "data_time": 0.00908, "decode.loss_seg": 0.49609, "decode.acc_seg": 65.86036, "aux.loss_seg": 0.30711, "aux.acc_seg": 59.40352, "loss": 0.80321, "time": 0.40322} +{"mode": "train", "epoch": 23, "iter": 14100, "lr": 5e-05, "memory": 16095, "data_time": 0.00898, "decode.loss_seg": 0.51248, "decode.acc_seg": 65.31795, "aux.loss_seg": 0.31557, "aux.acc_seg": 59.07438, "loss": 0.82805, "time": 0.40322} +{"mode": "train", "epoch": 23, "iter": 14150, "lr": 5e-05, "memory": 16095, "data_time": 0.00854, "decode.loss_seg": 0.48933, "decode.acc_seg": 65.79821, "aux.loss_seg": 0.30797, "aux.acc_seg": 59.28155, "loss": 0.7973, "time": 0.40265} +{"mode": "train", "epoch": 23, "iter": 14200, "lr": 5e-05, "memory": 16095, "data_time": 0.00867, "decode.loss_seg": 0.49833, "decode.acc_seg": 64.4345, "aux.loss_seg": 0.30309, "aux.acc_seg": 58.52992, "loss": 0.80142, "time": 0.4032} +{"mode": "train", "epoch": 23, "iter": 14250, "lr": 5e-05, "memory": 16095, "data_time": 0.00848, "decode.loss_seg": 0.50566, "decode.acc_seg": 66.18104, "aux.loss_seg": 0.31091, "aux.acc_seg": 60.0278, "loss": 0.81657, "time": 0.40284} +{"mode": "train", "epoch": 23, "iter": 14300, "lr": 5e-05, "memory": 16095, "data_time": 0.00825, "decode.loss_seg": 0.49778, "decode.acc_seg": 66.06418, "aux.loss_seg": 0.3023, "aux.acc_seg": 60.06108, "loss": 0.80008, "time": 0.40326} +{"mode": "train", "epoch": 23, "iter": 14350, "lr": 5e-05, "memory": 16095, "data_time": 0.0079, "decode.loss_seg": 0.52043, "decode.acc_seg": 64.79807, "aux.loss_seg": 0.3149, "aux.acc_seg": 58.68578, "loss": 0.83533, "time": 0.40321} +{"mode": "train", "epoch": 23, "iter": 14400, "lr": 5e-05, "memory": 16095, "data_time": 0.00799, "decode.loss_seg": 0.507, "decode.acc_seg": 65.38399, "aux.loss_seg": 0.31038, "aux.acc_seg": 59.11833, "loss": 0.81738, "time": 0.40313} +{"mode": "train", "epoch": 23, "iter": 14450, "lr": 5e-05, "memory": 16095, "data_time": 0.00785, "decode.loss_seg": 0.51029, "decode.acc_seg": 64.82134, "aux.loss_seg": 0.30712, "aux.acc_seg": 58.80136, "loss": 0.81741, "time": 0.40316} +{"mode": "train", "epoch": 23, "iter": 14500, "lr": 5e-05, "memory": 16095, "data_time": 0.00855, "decode.loss_seg": 0.50326, "decode.acc_seg": 65.50496, "aux.loss_seg": 0.30928, "aux.acc_seg": 59.09844, "loss": 0.81254, "time": 0.40237} +{"mode": "train", "epoch": 24, "iter": 14550, "lr": 5e-05, "memory": 16095, "data_time": 0.17457, "decode.loss_seg": 0.50853, "decode.acc_seg": 65.14137, "aux.loss_seg": 0.31746, "aux.acc_seg": 58.63095, "loss": 0.82599, "time": 0.57306} +{"mode": "train", "epoch": 24, "iter": 14600, "lr": 5e-05, "memory": 16095, "data_time": 0.00895, "decode.loss_seg": 0.50582, "decode.acc_seg": 65.74071, "aux.loss_seg": 0.30619, "aux.acc_seg": 59.73416, "loss": 0.81201, "time": 0.40478} +{"mode": "train", "epoch": 24, "iter": 14650, "lr": 5e-05, "memory": 16095, "data_time": 0.00928, "decode.loss_seg": 0.48553, "decode.acc_seg": 66.35031, "aux.loss_seg": 0.30583, "aux.acc_seg": 59.89695, "loss": 0.79136, "time": 0.40508} +{"mode": "train", "epoch": 24, "iter": 14700, "lr": 5e-05, "memory": 16095, "data_time": 0.00939, "decode.loss_seg": 0.49993, "decode.acc_seg": 65.46032, "aux.loss_seg": 0.30368, "aux.acc_seg": 59.54057, "loss": 0.80361, "time": 0.4053} +{"mode": "train", "epoch": 24, "iter": 14750, "lr": 5e-05, "memory": 16095, "data_time": 0.00937, "decode.loss_seg": 0.48366, "decode.acc_seg": 66.20234, "aux.loss_seg": 0.29679, "aux.acc_seg": 60.21556, "loss": 0.78045, "time": 0.40545} +{"mode": "train", "epoch": 24, "iter": 14800, "lr": 5e-05, "memory": 16095, "data_time": 0.00896, "decode.loss_seg": 0.48672, "decode.acc_seg": 64.71307, "aux.loss_seg": 0.29868, "aux.acc_seg": 58.63644, "loss": 0.7854, "time": 0.40506} +{"mode": "train", "epoch": 24, "iter": 14850, "lr": 5e-05, "memory": 16095, "data_time": 0.0086, "decode.loss_seg": 0.48511, "decode.acc_seg": 66.40386, "aux.loss_seg": 0.3024, "aux.acc_seg": 60.15244, "loss": 0.78752, "time": 0.4053} +{"mode": "train", "epoch": 24, "iter": 14900, "lr": 5e-05, "memory": 16095, "data_time": 0.00882, "decode.loss_seg": 0.49746, "decode.acc_seg": 65.92317, "aux.loss_seg": 0.30642, "aux.acc_seg": 59.71961, "loss": 0.80389, "time": 0.40524} +{"mode": "train", "epoch": 24, "iter": 14950, "lr": 5e-05, "memory": 16095, "data_time": 0.00883, "decode.loss_seg": 0.48194, "decode.acc_seg": 65.39756, "aux.loss_seg": 0.30498, "aux.acc_seg": 58.71721, "loss": 0.78691, "time": 0.40545} +{"mode": "train", "epoch": 24, "iter": 15000, "lr": 5e-05, "memory": 16095, "data_time": 0.0087, "decode.loss_seg": 0.49159, "decode.acc_seg": 65.15941, "aux.loss_seg": 0.3015, "aux.acc_seg": 58.99107, "loss": 0.79309, "time": 0.40499} +{"mode": "train", "epoch": 24, "iter": 15050, "lr": 5e-05, "memory": 16095, "data_time": 0.00868, "decode.loss_seg": 0.49256, "decode.acc_seg": 65.41945, "aux.loss_seg": 0.29768, "aux.acc_seg": 59.41842, "loss": 0.79023, "time": 0.40526} +{"mode": "train", "epoch": 24, "iter": 15100, "lr": 5e-05, "memory": 16095, "data_time": 0.00899, "decode.loss_seg": 0.49055, "decode.acc_seg": 65.95484, "aux.loss_seg": 0.29938, "aux.acc_seg": 59.84172, "loss": 0.78992, "time": 0.40554} +{"mode": "train", "epoch": 25, "iter": 15150, "lr": 5e-05, "memory": 16095, "data_time": 0.16403, "decode.loss_seg": 0.49666, "decode.acc_seg": 65.33038, "aux.loss_seg": 0.30324, "aux.acc_seg": 58.99368, "loss": 0.79991, "time": 0.56991} +{"mode": "train", "epoch": 25, "iter": 15200, "lr": 5e-05, "memory": 16095, "data_time": 0.00745, "decode.loss_seg": 0.48467, "decode.acc_seg": 66.01231, "aux.loss_seg": 0.31122, "aux.acc_seg": 59.24397, "loss": 0.79589, "time": 0.40278} +{"mode": "train", "epoch": 25, "iter": 15250, "lr": 5e-05, "memory": 16095, "data_time": 0.00736, "decode.loss_seg": 0.48458, "decode.acc_seg": 65.48827, "aux.loss_seg": 0.29849, "aux.acc_seg": 59.1878, "loss": 0.78308, "time": 0.40228} +{"mode": "train", "epoch": 25, "iter": 15300, "lr": 5e-05, "memory": 16095, "data_time": 0.00778, "decode.loss_seg": 0.48219, "decode.acc_seg": 65.89982, "aux.loss_seg": 0.29719, "aux.acc_seg": 59.54013, "loss": 0.77938, "time": 0.40259} +{"mode": "train", "epoch": 25, "iter": 15350, "lr": 5e-05, "memory": 16095, "data_time": 0.00778, "decode.loss_seg": 0.49292, "decode.acc_seg": 66.64042, "aux.loss_seg": 0.30691, "aux.acc_seg": 60.01638, "loss": 0.79984, "time": 0.40276} +{"mode": "train", "epoch": 25, "iter": 15400, "lr": 5e-05, "memory": 16095, "data_time": 0.00789, "decode.loss_seg": 0.49373, "decode.acc_seg": 66.04066, "aux.loss_seg": 0.30588, "aux.acc_seg": 59.62705, "loss": 0.79961, "time": 0.40356} +{"mode": "train", "epoch": 25, "iter": 15450, "lr": 5e-05, "memory": 16095, "data_time": 0.00795, "decode.loss_seg": 0.48281, "decode.acc_seg": 66.85392, "aux.loss_seg": 0.30106, "aux.acc_seg": 60.41666, "loss": 0.78387, "time": 0.40329} +{"mode": "train", "epoch": 25, "iter": 15500, "lr": 5e-05, "memory": 16095, "data_time": 0.00766, "decode.loss_seg": 0.48875, "decode.acc_seg": 65.96812, "aux.loss_seg": 0.30109, "aux.acc_seg": 59.44096, "loss": 0.78984, "time": 0.40273} +{"mode": "train", "epoch": 25, "iter": 15550, "lr": 5e-05, "memory": 16095, "data_time": 0.00763, "decode.loss_seg": 0.48902, "decode.acc_seg": 66.52451, "aux.loss_seg": 0.30555, "aux.acc_seg": 60.02229, "loss": 0.79457, "time": 0.40266} +{"mode": "train", "epoch": 25, "iter": 15600, "lr": 5e-05, "memory": 16095, "data_time": 0.00785, "decode.loss_seg": 0.4977, "decode.acc_seg": 65.79292, "aux.loss_seg": 0.30762, "aux.acc_seg": 59.39891, "loss": 0.80532, "time": 0.40273} +{"mode": "train", "epoch": 25, "iter": 15650, "lr": 5e-05, "memory": 16095, "data_time": 0.00777, "decode.loss_seg": 0.4839, "decode.acc_seg": 65.94036, "aux.loss_seg": 0.29733, "aux.acc_seg": 59.586, "loss": 0.78124, "time": 0.40273} +{"mode": "train", "epoch": 25, "iter": 15700, "lr": 5e-05, "memory": 16095, "data_time": 0.00771, "decode.loss_seg": 0.47502, "decode.acc_seg": 66.43801, "aux.loss_seg": 0.29745, "aux.acc_seg": 60.00575, "loss": 0.77247, "time": 0.40274} +{"mode": "train", "epoch": 25, "iter": 15750, "lr": 5e-05, "memory": 16095, "data_time": 0.00768, "decode.loss_seg": 0.49487, "decode.acc_seg": 65.54579, "aux.loss_seg": 0.29938, "aux.acc_seg": 59.33461, "loss": 0.79425, "time": 0.40269} +{"mode": "train", "epoch": 26, "iter": 15800, "lr": 5e-05, "memory": 16095, "data_time": 0.17591, "decode.loss_seg": 0.47958, "decode.acc_seg": 65.26611, "aux.loss_seg": 0.29531, "aux.acc_seg": 59.42418, "loss": 0.77489, "time": 0.57188} +{"mode": "train", "epoch": 26, "iter": 15850, "lr": 5e-05, "memory": 16095, "data_time": 0.00878, "decode.loss_seg": 0.46428, "decode.acc_seg": 66.8194, "aux.loss_seg": 0.29525, "aux.acc_seg": 60.47241, "loss": 0.75953, "time": 0.40533} +{"mode": "train", "epoch": 26, "iter": 15900, "lr": 5e-05, "memory": 16095, "data_time": 0.0093, "decode.loss_seg": 0.45521, "decode.acc_seg": 66.14954, "aux.loss_seg": 0.28756, "aux.acc_seg": 59.86323, "loss": 0.74277, "time": 0.40555} +{"mode": "train", "epoch": 26, "iter": 15950, "lr": 5e-05, "memory": 16095, "data_time": 0.00947, "decode.loss_seg": 0.4686, "decode.acc_seg": 65.81746, "aux.loss_seg": 0.29329, "aux.acc_seg": 59.52662, "loss": 0.76189, "time": 0.40548} +{"mode": "val", "epoch": 26, "iter": 16000, "lr": 5e-05, "mIoU": 0.4077, "mAcc": 0.53, "aAcc": 0.7942, "IoU.wall": 0.7269, "IoU.building": 0.8057, "IoU.sky": 0.9353, "IoU.floor": 0.7802, "IoU.tree": 0.7216, "IoU.ceiling": 0.8022, "IoU.road": 0.7878, "IoU.bed ": 0.7997, "IoU.windowpane": 0.5483, "IoU.grass": 0.635, "IoU.cabinet": 0.5294, "IoU.sidewalk": 0.5753, "IoU.person": 0.7407, "IoU.earth": 0.3406, "IoU.door": 0.3645, "IoU.table": 0.4723, "IoU.mountain": 0.5524, "IoU.plant": 0.4882, "IoU.curtain": 0.6667, "IoU.chair": 0.4666, "IoU.car": 0.8039, "IoU.water": 0.4749, "IoU.painting": 0.6624, "IoU.sofa": 0.5261, "IoU.shelf": 0.3827, "IoU.house": 0.5095, "IoU.sea": 0.5659, "IoU.mirror": 0.5192, "IoU.rug": 0.6188, "IoU.field": 0.2838, "IoU.armchair": 0.293, "IoU.seat": 0.6, "IoU.fence": 0.3841, "IoU.desk": 0.3451, "IoU.rock": 0.515, "IoU.wardrobe": 0.4848, "IoU.lamp": 0.4895, "IoU.bathtub": 0.6116, "IoU.railing": 0.3029, "IoU.cushion": 0.4031, "IoU.base": 0.2304, "IoU.box": 0.17, "IoU.column": 0.3537, "IoU.signboard": 0.3216, "IoU.chest of drawers": 0.378, "IoU.counter": 0.288, "IoU.sand": 0.32, "IoU.sink": 0.5616, "IoU.skyscraper": 0.5858, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5147, "IoU.grandstand": 0.2823, "IoU.path": 0.2123, "IoU.stairs": 0.2237, "IoU.runway": 0.6679, "IoU.case": 0.4207, "IoU.pool table": 0.9017, "IoU.pillow": 0.45, "IoU.screen door": 0.5902, "IoU.stairway": 0.2947, "IoU.river": 0.1294, "IoU.bridge": 0.5865, "IoU.bookcase": 0.3552, "IoU.blind": NaN, "IoU.coffee table": 0.4996, "IoU.toilet": 0.7102, "IoU.flower": 0.3258, "IoU.book": 0.3994, "IoU.hill": 0.0688, "IoU.bench": 0.3695, "IoU.countertop": 0.4833, "IoU.stove": 0.5429, "IoU.palm": 0.4212, "IoU.kitchen island": 0.2382, "IoU.computer": 0.5626, "IoU.swivel chair": 0.3713, "IoU.boat": 0.5571, "IoU.bar": 0.3623, "IoU.arcade machine": 0.7635, "IoU.hovel": 0.1141, "IoU.bus": 0.7933, "IoU.towel": 0.5224, "IoU.light": 0.4012, "IoU.truck": 0.2629, "IoU.tower": 0.3538, "IoU.chandelier": 0.5793, "IoU.awning": 0.2462, "IoU.streetlight": 0.1548, "IoU.booth": 0.4812, "IoU.television receiver": NaN, "IoU.airplane": 0.5079, "IoU.dirt track": 0.0693, "IoU.apparel": 0.2611, "IoU.pole": 0.1279, "IoU.land": 0.0022, "IoU.bannister": 0.0623, "IoU.escalator": 0.3943, "IoU.ottoman": 0.2728, "IoU.bottle": NaN, "IoU.buffet": 0.379, "IoU.poster": 0.1227, "IoU.stage": 0.0842, "IoU.van": 0.2084, "IoU.ship": 0.6235, "IoU.fountain": 0.2171, "IoU.conveyer belt": 0.6351, "IoU.canopy": 0.2296, "IoU.washer": 0.6691, "IoU.plaything": 0.1369, "IoU.swimming pool": 0.678, "IoU.stool": 0.2004, "IoU.barrel": 0.4678, "IoU.basket": 0.1477, "IoU.waterfall": 0.4942, "IoU.tent": 0.9288, "IoU.bag": 0.0333, "IoU.minibike": 0.6585, "IoU.cradle": NaN, "IoU.oven": 0.1003, "IoU.ball": 0.372, "IoU.food": 0.522, "IoU.step": 0.0005, "IoU.tank": 0.4521, "IoU.trade name": 0.2203, "IoU.microwave": 0.4704, "IoU.pot": 0.3939, "IoU.animal": NaN, "IoU.bicycle": 0.4829, "IoU.lake": 0.0, "IoU.dishwasher": 0.3963, "IoU.screen": 0.5042, "IoU.blanket": 0.0127, "IoU.sculpture": 0.4484, "IoU.hood": 0.4037, "IoU.sconce": 0.1532, "IoU.vase": 0.2407, "IoU.traffic light": 0.149, "IoU.tray": 0.0324, "IoU.ashcan": 0.2892, "IoU.fan": 0.4188, "IoU.pier": 0.3501, "IoU.crt screen": 0.0241, "IoU.plate": 0.4331, "IoU.monitor": 0.0158, "IoU.bulletin board": 0.2947, "IoU.shower": 0.0, "IoU.radiator": 0.4472, "IoU.glass": 0.0816, "IoU.clock": 0.1741, "IoU.flag": 0.2773, "Acc.wall": 0.8437, "Acc.building": 0.9183, "Acc.sky": 0.9669, "Acc.floor": 0.8711, "Acc.tree": 0.8481, "Acc.ceiling": 0.9004, "Acc.road": 0.8633, "Acc.bed ": 0.9548, "Acc.windowpane": 0.7014, "Acc.grass": 0.7687, "Acc.cabinet": 0.6577, "Acc.sidewalk": 0.7867, "Acc.person": 0.8946, "Acc.earth": 0.4773, "Acc.door": 0.4972, "Acc.table": 0.6642, "Acc.mountain": 0.645, "Acc.plant": 0.6124, "Acc.curtain": 0.8275, "Acc.chair": 0.6248, "Acc.car": 0.9033, "Acc.water": 0.6686, "Acc.painting": 0.8205, "Acc.sofa": 0.7298, "Acc.shelf": 0.578, "Acc.house": 0.7934, "Acc.sea": 0.7727, "Acc.mirror": 0.6158, "Acc.rug": 0.72, "Acc.field": 0.5913, "Acc.armchair": 0.4878, "Acc.seat": 0.7454, "Acc.fence": 0.5499, "Acc.desk": 0.6336, "Acc.rock": 0.7413, "Acc.wardrobe": 0.6816, "Acc.lamp": 0.6307, "Acc.bathtub": 0.7787, "Acc.railing": 0.375, "Acc.cushion": 0.4778, "Acc.base": 0.3574, "Acc.box": 0.206, "Acc.column": 0.5617, "Acc.signboard": 0.4721, "Acc.chest of drawers": 0.4935, "Acc.counter": 0.392, "Acc.sand": 0.4845, "Acc.sink": 0.716, "Acc.skyscraper": 0.7427, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7514, "Acc.grandstand": 0.6882, "Acc.path": 0.3679, "Acc.stairs": 0.2505, "Acc.runway": 0.823, "Acc.case": 0.4913, "Acc.pool table": 0.9457, "Acc.pillow": 0.5832, "Acc.screen door": 0.7204, "Acc.stairway": 0.4313, "Acc.river": 0.3492, "Acc.bridge": 0.7416, "Acc.bookcase": 0.501, "Acc.blind": NaN, "Acc.coffee table": 0.7379, "Acc.toilet": 0.8633, "Acc.flower": 0.445, "Acc.book": 0.548, "Acc.hill": 0.0945, "Acc.bench": 0.4288, "Acc.countertop": 0.6442, "Acc.stove": 0.734, "Acc.palm": 0.6615, "Acc.kitchen island": 0.5207, "Acc.computer": 0.6726, "Acc.swivel chair": 0.6372, "Acc.boat": 0.7394, "Acc.bar": 0.5227, "Acc.arcade machine": 0.8652, "Acc.hovel": 0.1308, "Acc.bus": 0.8622, "Acc.towel": 0.6794, "Acc.light": 0.4434, "Acc.truck": 0.3764, "Acc.tower": 0.415, "Acc.chandelier": 0.7257, "Acc.awning": 0.3218, "Acc.streetlight": 0.1915, "Acc.booth": 0.576, "Acc.television receiver": NaN, "Acc.airplane": 0.6099, "Acc.dirt track": 0.2401, "Acc.apparel": 0.3602, "Acc.pole": 0.1685, "Acc.land": 0.0024, "Acc.bannister": 0.0733, "Acc.escalator": 0.5924, "Acc.ottoman": 0.4615, "Acc.bottle": NaN, "Acc.buffet": 0.4976, "Acc.poster": 0.1368, "Acc.stage": 0.1768, "Acc.van": 0.2318, "Acc.ship": 0.9543, "Acc.fountain": 0.2374, "Acc.conveyer belt": 0.8909, "Acc.canopy": 0.3343, "Acc.washer": 0.7435, "Acc.plaything": 0.1786, "Acc.swimming pool": 0.7102, "Acc.stool": 0.2612, "Acc.barrel": 0.6403, "Acc.basket": 0.2421, "Acc.waterfall": 0.6935, "Acc.tent": 0.9857, "Acc.bag": 0.0346, "Acc.minibike": 0.8388, "Acc.cradle": NaN, "Acc.oven": 0.1721, "Acc.ball": 0.4388, "Acc.food": 0.6103, "Acc.step": 0.0005, "Acc.tank": 0.5761, "Acc.trade name": 0.2507, "Acc.microwave": 0.5556, "Acc.pot": 0.4635, "Acc.animal": NaN, "Acc.bicycle": 0.6761, "Acc.lake": 0.0, "Acc.dishwasher": 0.55, "Acc.screen": 0.9189, "Acc.blanket": 0.013, "Acc.sculpture": 0.5199, "Acc.hood": 0.4563, "Acc.sconce": 0.1624, "Acc.vase": 0.3649, "Acc.traffic light": 0.2607, "Acc.tray": 0.0437, "Acc.ashcan": 0.3746, "Acc.fan": 0.5278, "Acc.pier": 0.4478, "Acc.crt screen": 0.0758, "Acc.plate": 0.5763, "Acc.monitor": 0.0225, "Acc.bulletin board": 0.325, "Acc.shower": 0.0, "Acc.radiator": 0.5181, "Acc.glass": 0.0922, "Acc.clock": 0.1918, "Acc.flag": 0.3153} +{"mode": "train", "epoch": 26, "iter": 16050, "lr": 5e-05, "memory": 22018, "data_time": 3.78491, "decode.loss_seg": 0.47419, "decode.acc_seg": 66.59847, "aux.loss_seg": 0.29693, "aux.acc_seg": 60.12601, "loss": 0.77112, "time": 4.1821} +{"mode": "train", "epoch": 26, "iter": 16100, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.46486, "decode.acc_seg": 66.5722, "aux.loss_seg": 0.29662, "aux.acc_seg": 59.74238, "loss": 0.76148, "time": 0.40469} +{"mode": "train", "epoch": 26, "iter": 16150, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.48407, "decode.acc_seg": 64.88004, "aux.loss_seg": 0.29632, "aux.acc_seg": 59.065, "loss": 0.78038, "time": 0.40475} +{"mode": "train", "epoch": 26, "iter": 16200, "lr": 5e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.51334, "decode.acc_seg": 64.40711, "aux.loss_seg": 0.30948, "aux.acc_seg": 58.67082, "loss": 0.82282, "time": 0.40515} +{"mode": "train", "epoch": 26, "iter": 16250, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.49074, "decode.acc_seg": 65.85584, "aux.loss_seg": 0.29908, "aux.acc_seg": 59.80439, "loss": 0.78982, "time": 0.40457} +{"mode": "train", "epoch": 26, "iter": 16300, "lr": 5e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.49273, "decode.acc_seg": 65.92032, "aux.loss_seg": 0.29926, "aux.acc_seg": 59.73167, "loss": 0.79199, "time": 0.40467} +{"mode": "train", "epoch": 26, "iter": 16350, "lr": 5e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.46547, "decode.acc_seg": 65.76941, "aux.loss_seg": 0.29086, "aux.acc_seg": 59.69444, "loss": 0.75633, "time": 0.40434} +{"mode": "train", "epoch": 26, "iter": 16400, "lr": 5e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.46796, "decode.acc_seg": 66.19627, "aux.loss_seg": 0.29131, "aux.acc_seg": 60.06251, "loss": 0.75926, "time": 0.4043} +{"mode": "train", "epoch": 27, "iter": 16450, "lr": 5e-05, "memory": 22018, "data_time": 0.17119, "decode.loss_seg": 0.4751, "decode.acc_seg": 65.96714, "aux.loss_seg": 0.29594, "aux.acc_seg": 59.87659, "loss": 0.77104, "time": 0.56704} +{"mode": "train", "epoch": 27, "iter": 16500, "lr": 5e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.46869, "decode.acc_seg": 67.23578, "aux.loss_seg": 0.29873, "aux.acc_seg": 60.8139, "loss": 0.76742, "time": 0.40297} +{"mode": "train", "epoch": 27, "iter": 16550, "lr": 5e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.47712, "decode.acc_seg": 66.13822, "aux.loss_seg": 0.29457, "aux.acc_seg": 59.6568, "loss": 0.77169, "time": 0.40267} +{"mode": "train", "epoch": 27, "iter": 16600, "lr": 5e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.48422, "decode.acc_seg": 67.54151, "aux.loss_seg": 0.3029, "aux.acc_seg": 61.00696, "loss": 0.78712, "time": 0.40262} +{"mode": "train", "epoch": 27, "iter": 16650, "lr": 5e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.48298, "decode.acc_seg": 65.73369, "aux.loss_seg": 0.29473, "aux.acc_seg": 59.55525, "loss": 0.77771, "time": 0.40298} +{"mode": "train", "epoch": 27, "iter": 16700, "lr": 5e-05, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.46247, "decode.acc_seg": 66.33583, "aux.loss_seg": 0.28637, "aux.acc_seg": 60.41857, "loss": 0.74884, "time": 0.40296} +{"mode": "train", "epoch": 27, "iter": 16750, "lr": 5e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.48275, "decode.acc_seg": 65.94715, "aux.loss_seg": 0.2985, "aux.acc_seg": 59.59218, "loss": 0.78125, "time": 0.40309} +{"mode": "train", "epoch": 27, "iter": 16800, "lr": 5e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.48357, "decode.acc_seg": 65.11574, "aux.loss_seg": 0.30131, "aux.acc_seg": 58.8136, "loss": 0.78488, "time": 0.40328} +{"mode": "train", "epoch": 27, "iter": 16850, "lr": 5e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.48231, "decode.acc_seg": 65.88231, "aux.loss_seg": 0.29657, "aux.acc_seg": 59.96798, "loss": 0.77888, "time": 0.403} +{"mode": "train", "epoch": 27, "iter": 16900, "lr": 5e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.46491, "decode.acc_seg": 65.60585, "aux.loss_seg": 0.2982, "aux.acc_seg": 58.9692, "loss": 0.76311, "time": 0.40386} +{"mode": "train", "epoch": 27, "iter": 16950, "lr": 5e-05, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.48431, "decode.acc_seg": 66.60263, "aux.loss_seg": 0.30021, "aux.acc_seg": 60.20781, "loss": 0.78452, "time": 0.40234} +{"mode": "train", "epoch": 27, "iter": 17000, "lr": 5e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.47183, "decode.acc_seg": 65.658, "aux.loss_seg": 0.29989, "aux.acc_seg": 59.01691, "loss": 0.77172, "time": 0.40215} +{"mode": "train", "epoch": 28, "iter": 17050, "lr": 5e-05, "memory": 22018, "data_time": 0.17342, "decode.loss_seg": 0.46454, "decode.acc_seg": 65.78947, "aux.loss_seg": 0.28704, "aux.acc_seg": 59.79438, "loss": 0.75157, "time": 0.56784} +{"mode": "train", "epoch": 28, "iter": 17100, "lr": 5e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.44106, "decode.acc_seg": 67.7229, "aux.loss_seg": 0.28568, "aux.acc_seg": 60.95186, "loss": 0.72674, "time": 0.40375} +{"mode": "train", "epoch": 28, "iter": 17150, "lr": 5e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.48422, "decode.acc_seg": 66.10245, "aux.loss_seg": 0.29992, "aux.acc_seg": 59.95994, "loss": 0.78414, "time": 0.40462} +{"mode": "train", "epoch": 28, "iter": 17200, "lr": 5e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.4683, "decode.acc_seg": 65.99892, "aux.loss_seg": 0.29573, "aux.acc_seg": 59.44089, "loss": 0.76403, "time": 0.40375} +{"mode": "train", "epoch": 28, "iter": 17250, "lr": 5e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.4531, "decode.acc_seg": 67.47735, "aux.loss_seg": 0.28417, "aux.acc_seg": 61.01218, "loss": 0.73727, "time": 0.4036} +{"mode": "train", "epoch": 28, "iter": 17300, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.46783, "decode.acc_seg": 66.57041, "aux.loss_seg": 0.29846, "aux.acc_seg": 59.63363, "loss": 0.76629, "time": 0.40377} +{"mode": "train", "epoch": 28, "iter": 17350, "lr": 5e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.45599, "decode.acc_seg": 67.00695, "aux.loss_seg": 0.28606, "aux.acc_seg": 60.807, "loss": 0.74205, "time": 0.40438} +{"mode": "train", "epoch": 28, "iter": 17400, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.47754, "decode.acc_seg": 65.32956, "aux.loss_seg": 0.29868, "aux.acc_seg": 58.99979, "loss": 0.77622, "time": 0.40395} +{"mode": "train", "epoch": 28, "iter": 17450, "lr": 5e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.46422, "decode.acc_seg": 65.94112, "aux.loss_seg": 0.29133, "aux.acc_seg": 59.65079, "loss": 0.75555, "time": 0.40423} +{"mode": "train", "epoch": 28, "iter": 17500, "lr": 5e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.46393, "decode.acc_seg": 66.64512, "aux.loss_seg": 0.28939, "aux.acc_seg": 60.46864, "loss": 0.75332, "time": 0.40404} +{"mode": "train", "epoch": 28, "iter": 17550, "lr": 5e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.48611, "decode.acc_seg": 66.09205, "aux.loss_seg": 0.30972, "aux.acc_seg": 59.38151, "loss": 0.79583, "time": 0.40467} +{"mode": "train", "epoch": 28, "iter": 17600, "lr": 5e-05, "memory": 22018, "data_time": 0.01022, "decode.loss_seg": 0.49085, "decode.acc_seg": 65.51491, "aux.loss_seg": 0.30187, "aux.acc_seg": 59.2582, "loss": 0.79272, "time": 0.40337} +{"mode": "train", "epoch": 28, "iter": 17650, "lr": 5e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.46045, "decode.acc_seg": 65.83129, "aux.loss_seg": 0.28873, "aux.acc_seg": 59.47392, "loss": 0.74918, "time": 0.40364} +{"mode": "train", "epoch": 29, "iter": 17700, "lr": 5e-05, "memory": 22018, "data_time": 0.17615, "decode.loss_seg": 0.45412, "decode.acc_seg": 66.6335, "aux.loss_seg": 0.28472, "aux.acc_seg": 60.3717, "loss": 0.73884, "time": 0.57046} +{"mode": "train", "epoch": 29, "iter": 17750, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.44603, "decode.acc_seg": 67.13334, "aux.loss_seg": 0.28704, "aux.acc_seg": 60.35929, "loss": 0.73306, "time": 0.40258} +{"mode": "train", "epoch": 29, "iter": 17800, "lr": 5e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.45742, "decode.acc_seg": 66.80564, "aux.loss_seg": 0.29395, "aux.acc_seg": 60.09347, "loss": 0.75137, "time": 0.40252} +{"mode": "train", "epoch": 29, "iter": 17850, "lr": 5e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.46737, "decode.acc_seg": 67.44548, "aux.loss_seg": 0.29418, "aux.acc_seg": 61.26824, "loss": 0.76155, "time": 0.40184} +{"mode": "train", "epoch": 29, "iter": 17900, "lr": 5e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.46172, "decode.acc_seg": 66.52301, "aux.loss_seg": 0.29386, "aux.acc_seg": 59.99465, "loss": 0.75557, "time": 0.40206} +{"mode": "train", "epoch": 29, "iter": 17950, "lr": 5e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.46831, "decode.acc_seg": 66.37346, "aux.loss_seg": 0.28961, "aux.acc_seg": 60.0433, "loss": 0.75792, "time": 0.40292} +{"mode": "train", "epoch": 29, "iter": 18000, "lr": 5e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.45489, "decode.acc_seg": 67.05233, "aux.loss_seg": 0.29324, "aux.acc_seg": 60.42577, "loss": 0.74814, "time": 0.40368} +{"mode": "train", "epoch": 29, "iter": 18050, "lr": 5e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.46239, "decode.acc_seg": 66.99775, "aux.loss_seg": 0.29112, "aux.acc_seg": 60.8871, "loss": 0.75351, "time": 0.40315} +{"mode": "train", "epoch": 29, "iter": 18100, "lr": 5e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.4517, "decode.acc_seg": 66.26637, "aux.loss_seg": 0.28343, "aux.acc_seg": 60.19466, "loss": 0.73513, "time": 0.40208} +{"mode": "train", "epoch": 29, "iter": 18150, "lr": 5e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.45692, "decode.acc_seg": 66.68038, "aux.loss_seg": 0.28849, "aux.acc_seg": 60.14467, "loss": 0.74541, "time": 0.40223} +{"mode": "train", "epoch": 29, "iter": 18200, "lr": 5e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.45467, "decode.acc_seg": 65.57898, "aux.loss_seg": 0.28778, "aux.acc_seg": 59.42616, "loss": 0.74245, "time": 0.40207} +{"mode": "train", "epoch": 29, "iter": 18250, "lr": 5e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.46037, "decode.acc_seg": 66.39697, "aux.loss_seg": 0.28635, "aux.acc_seg": 60.3291, "loss": 0.74673, "time": 0.40215} +{"mode": "train", "epoch": 29, "iter": 18300, "lr": 5e-05, "memory": 22018, "data_time": 0.17871, "decode.loss_seg": 0.47554, "decode.acc_seg": 66.19052, "aux.loss_seg": 0.29369, "aux.acc_seg": 60.16427, "loss": 0.76924, "time": 0.574} +{"mode": "train", "epoch": 30, "iter": 18350, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.4539, "decode.acc_seg": 67.71385, "aux.loss_seg": 0.28729, "aux.acc_seg": 61.15672, "loss": 0.74119, "time": 0.40256} +{"mode": "train", "epoch": 30, "iter": 18400, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.44656, "decode.acc_seg": 66.4807, "aux.loss_seg": 0.28461, "aux.acc_seg": 60.15804, "loss": 0.73117, "time": 0.40312} +{"mode": "train", "epoch": 30, "iter": 18450, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.44149, "decode.acc_seg": 66.03201, "aux.loss_seg": 0.28201, "aux.acc_seg": 59.73884, "loss": 0.7235, "time": 0.4041} +{"mode": "train", "epoch": 30, "iter": 18500, "lr": 5e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.46801, "decode.acc_seg": 67.44942, "aux.loss_seg": 0.29302, "aux.acc_seg": 60.90731, "loss": 0.76104, "time": 0.4043} +{"mode": "train", "epoch": 30, "iter": 18550, "lr": 5e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.44921, "decode.acc_seg": 66.37978, "aux.loss_seg": 0.2896, "aux.acc_seg": 59.84418, "loss": 0.73881, "time": 0.40348} +{"mode": "train", "epoch": 30, "iter": 18600, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.44215, "decode.acc_seg": 66.87335, "aux.loss_seg": 0.28371, "aux.acc_seg": 60.53977, "loss": 0.72586, "time": 0.40432} +{"mode": "train", "epoch": 30, "iter": 18650, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.46418, "decode.acc_seg": 67.19618, "aux.loss_seg": 0.29747, "aux.acc_seg": 60.23742, "loss": 0.76165, "time": 0.40425} +{"mode": "train", "epoch": 30, "iter": 18700, "lr": 5e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.45965, "decode.acc_seg": 65.6163, "aux.loss_seg": 0.29239, "aux.acc_seg": 59.34526, "loss": 0.75204, "time": 0.4041} +{"mode": "train", "epoch": 30, "iter": 18750, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.46954, "decode.acc_seg": 67.21383, "aux.loss_seg": 0.29682, "aux.acc_seg": 60.36555, "loss": 0.76636, "time": 0.40471} +{"mode": "train", "epoch": 30, "iter": 18800, "lr": 5e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.45393, "decode.acc_seg": 66.54577, "aux.loss_seg": 0.28517, "aux.acc_seg": 60.23334, "loss": 0.7391, "time": 0.40475} +{"mode": "train", "epoch": 30, "iter": 18850, "lr": 5e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.45857, "decode.acc_seg": 66.71306, "aux.loss_seg": 0.28713, "aux.acc_seg": 60.57884, "loss": 0.74569, "time": 0.40385} +{"mode": "train", "epoch": 30, "iter": 18900, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.46563, "decode.acc_seg": 66.89774, "aux.loss_seg": 0.29185, "aux.acc_seg": 60.42471, "loss": 0.75748, "time": 0.40338} +{"mode": "train", "epoch": 31, "iter": 18950, "lr": 5e-05, "memory": 22018, "data_time": 0.174, "decode.loss_seg": 0.44109, "decode.acc_seg": 67.47065, "aux.loss_seg": 0.27981, "aux.acc_seg": 61.14416, "loss": 0.72091, "time": 0.56921} +{"mode": "train", "epoch": 31, "iter": 19000, "lr": 5e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.43419, "decode.acc_seg": 67.0415, "aux.loss_seg": 0.27702, "aux.acc_seg": 60.77346, "loss": 0.71121, "time": 0.40357} +{"mode": "train", "epoch": 31, "iter": 19050, "lr": 5e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.45417, "decode.acc_seg": 66.75755, "aux.loss_seg": 0.29131, "aux.acc_seg": 59.7482, "loss": 0.74548, "time": 0.40298} +{"mode": "train", "epoch": 31, "iter": 19100, "lr": 5e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.45496, "decode.acc_seg": 66.86558, "aux.loss_seg": 0.29149, "aux.acc_seg": 60.36308, "loss": 0.74645, "time": 0.40333} +{"mode": "train", "epoch": 31, "iter": 19150, "lr": 5e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.44751, "decode.acc_seg": 67.70266, "aux.loss_seg": 0.28133, "aux.acc_seg": 61.49925, "loss": 0.72883, "time": 0.40339} +{"mode": "train", "epoch": 31, "iter": 19200, "lr": 5e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.44709, "decode.acc_seg": 66.95295, "aux.loss_seg": 0.2807, "aux.acc_seg": 60.61754, "loss": 0.72779, "time": 0.40293} +{"mode": "train", "epoch": 31, "iter": 19250, "lr": 5e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.45652, "decode.acc_seg": 66.72467, "aux.loss_seg": 0.28877, "aux.acc_seg": 59.96004, "loss": 0.74529, "time": 0.40319} +{"mode": "train", "epoch": 31, "iter": 19300, "lr": 5e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.45362, "decode.acc_seg": 66.89589, "aux.loss_seg": 0.28602, "aux.acc_seg": 60.41453, "loss": 0.73964, "time": 0.40289} +{"mode": "train", "epoch": 31, "iter": 19350, "lr": 5e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.44817, "decode.acc_seg": 66.65339, "aux.loss_seg": 0.28917, "aux.acc_seg": 59.7384, "loss": 0.73735, "time": 0.40272} +{"mode": "train", "epoch": 31, "iter": 19400, "lr": 5e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.44079, "decode.acc_seg": 66.5283, "aux.loss_seg": 0.27851, "aux.acc_seg": 60.34252, "loss": 0.7193, "time": 0.40281} +{"mode": "train", "epoch": 31, "iter": 19450, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.46073, "decode.acc_seg": 67.36876, "aux.loss_seg": 0.28987, "aux.acc_seg": 61.06558, "loss": 0.7506, "time": 0.40301} +{"mode": "train", "epoch": 31, "iter": 19500, "lr": 5e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.45283, "decode.acc_seg": 67.5467, "aux.loss_seg": 0.28571, "aux.acc_seg": 61.29727, "loss": 0.73854, "time": 0.40258} +{"mode": "train", "epoch": 31, "iter": 19550, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.45128, "decode.acc_seg": 66.64351, "aux.loss_seg": 0.28184, "aux.acc_seg": 60.57005, "loss": 0.73312, "time": 0.40287} +{"mode": "train", "epoch": 32, "iter": 19600, "lr": 5e-05, "memory": 22018, "data_time": 0.17624, "decode.loss_seg": 0.43581, "decode.acc_seg": 68.04754, "aux.loss_seg": 0.27834, "aux.acc_seg": 61.76684, "loss": 0.71415, "time": 0.57119} +{"mode": "train", "epoch": 32, "iter": 19650, "lr": 5e-05, "memory": 22018, "data_time": 0.00999, "decode.loss_seg": 0.43181, "decode.acc_seg": 66.44135, "aux.loss_seg": 0.28225, "aux.acc_seg": 59.6906, "loss": 0.71406, "time": 0.404} +{"mode": "train", "epoch": 32, "iter": 19700, "lr": 5e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.43028, "decode.acc_seg": 66.88575, "aux.loss_seg": 0.28109, "aux.acc_seg": 59.93561, "loss": 0.71137, "time": 0.40341} +{"mode": "train", "epoch": 32, "iter": 19750, "lr": 5e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.43127, "decode.acc_seg": 67.05913, "aux.loss_seg": 0.27964, "aux.acc_seg": 60.74355, "loss": 0.71091, "time": 0.4053} +{"mode": "train", "epoch": 32, "iter": 19800, "lr": 5e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.45489, "decode.acc_seg": 66.88048, "aux.loss_seg": 0.2937, "aux.acc_seg": 60.07045, "loss": 0.74859, "time": 0.40464} +{"mode": "train", "epoch": 32, "iter": 19850, "lr": 5e-05, "memory": 22018, "data_time": 0.01016, "decode.loss_seg": 0.45215, "decode.acc_seg": 66.48308, "aux.loss_seg": 0.28291, "aux.acc_seg": 60.46375, "loss": 0.73505, "time": 0.40409} +{"mode": "train", "epoch": 32, "iter": 19900, "lr": 5e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.42706, "decode.acc_seg": 66.82056, "aux.loss_seg": 0.27697, "aux.acc_seg": 60.30504, "loss": 0.70403, "time": 0.40452} +{"mode": "train", "epoch": 32, "iter": 19950, "lr": 5e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.45124, "decode.acc_seg": 66.5409, "aux.loss_seg": 0.28548, "aux.acc_seg": 60.32952, "loss": 0.73672, "time": 0.40452} +{"mode": "train", "epoch": 32, "iter": 20000, "lr": 5e-05, "memory": 22018, "data_time": 0.01036, "decode.loss_seg": 0.45112, "decode.acc_seg": 66.132, "aux.loss_seg": 0.28755, "aux.acc_seg": 59.72297, "loss": 0.73867, "time": 0.40415} +{"mode": "train", "epoch": 32, "iter": 20050, "lr": 5e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.44951, "decode.acc_seg": 67.00128, "aux.loss_seg": 0.28127, "aux.acc_seg": 60.9236, "loss": 0.73078, "time": 0.40549} +{"mode": "train", "epoch": 32, "iter": 20100, "lr": 5e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.44606, "decode.acc_seg": 66.02115, "aux.loss_seg": 0.28004, "aux.acc_seg": 59.92012, "loss": 0.7261, "time": 0.40523} +{"mode": "train", "epoch": 32, "iter": 20150, "lr": 5e-05, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.45329, "decode.acc_seg": 67.00617, "aux.loss_seg": 0.28309, "aux.acc_seg": 60.63638, "loss": 0.73638, "time": 0.40528} +{"mode": "train", "epoch": 33, "iter": 20200, "lr": 5e-05, "memory": 22018, "data_time": 0.17053, "decode.loss_seg": 0.45079, "decode.acc_seg": 66.23259, "aux.loss_seg": 0.27817, "aux.acc_seg": 60.04843, "loss": 0.72896, "time": 0.56671} +{"mode": "train", "epoch": 33, "iter": 20250, "lr": 5e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.43883, "decode.acc_seg": 66.42372, "aux.loss_seg": 0.27581, "aux.acc_seg": 60.37572, "loss": 0.71464, "time": 0.40364} +{"mode": "train", "epoch": 33, "iter": 20300, "lr": 5e-05, "memory": 22018, "data_time": 0.00987, "decode.loss_seg": 0.44164, "decode.acc_seg": 67.22253, "aux.loss_seg": 0.28427, "aux.acc_seg": 60.45356, "loss": 0.72591, "time": 0.40425} +{"mode": "train", "epoch": 33, "iter": 20350, "lr": 5e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.45786, "decode.acc_seg": 67.12815, "aux.loss_seg": 0.28674, "aux.acc_seg": 60.79968, "loss": 0.7446, "time": 0.40434} +{"mode": "train", "epoch": 33, "iter": 20400, "lr": 5e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.44529, "decode.acc_seg": 68.30066, "aux.loss_seg": 0.28726, "aux.acc_seg": 61.61751, "loss": 0.73255, "time": 0.40443} +{"mode": "train", "epoch": 33, "iter": 20450, "lr": 5e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.42693, "decode.acc_seg": 68.20132, "aux.loss_seg": 0.27072, "aux.acc_seg": 62.34546, "loss": 0.69765, "time": 0.40423} +{"mode": "train", "epoch": 33, "iter": 20500, "lr": 5e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.43843, "decode.acc_seg": 68.28904, "aux.loss_seg": 0.27594, "aux.acc_seg": 61.79078, "loss": 0.71437, "time": 0.4042} +{"mode": "train", "epoch": 33, "iter": 20550, "lr": 5e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.43557, "decode.acc_seg": 68.01785, "aux.loss_seg": 0.27657, "aux.acc_seg": 61.71304, "loss": 0.71214, "time": 0.40475} +{"mode": "train", "epoch": 33, "iter": 20600, "lr": 5e-05, "memory": 22018, "data_time": 0.01023, "decode.loss_seg": 0.43251, "decode.acc_seg": 66.17929, "aux.loss_seg": 0.28029, "aux.acc_seg": 59.39997, "loss": 0.7128, "time": 0.40519} +{"mode": "train", "epoch": 33, "iter": 20650, "lr": 5e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.46525, "decode.acc_seg": 66.14383, "aux.loss_seg": 0.29296, "aux.acc_seg": 59.87446, "loss": 0.75821, "time": 0.40476} +{"mode": "train", "epoch": 33, "iter": 20700, "lr": 5e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.42792, "decode.acc_seg": 67.19611, "aux.loss_seg": 0.28052, "aux.acc_seg": 60.47992, "loss": 0.70844, "time": 0.40509} +{"mode": "train", "epoch": 33, "iter": 20750, "lr": 5e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.45853, "decode.acc_seg": 67.13676, "aux.loss_seg": 0.2847, "aux.acc_seg": 60.75208, "loss": 0.74323, "time": 0.40482} +{"mode": "train", "epoch": 33, "iter": 20800, "lr": 5e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.44845, "decode.acc_seg": 66.92058, "aux.loss_seg": 0.28337, "aux.acc_seg": 60.78664, "loss": 0.73182, "time": 0.40418} +{"mode": "train", "epoch": 34, "iter": 20850, "lr": 5e-05, "memory": 22018, "data_time": 0.17242, "decode.loss_seg": 0.43673, "decode.acc_seg": 67.33339, "aux.loss_seg": 0.27976, "aux.acc_seg": 60.85811, "loss": 0.71649, "time": 0.56671} +{"mode": "train", "epoch": 34, "iter": 20900, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.41849, "decode.acc_seg": 67.87226, "aux.loss_seg": 0.27266, "aux.acc_seg": 61.39005, "loss": 0.69115, "time": 0.40198} +{"mode": "train", "epoch": 34, "iter": 20950, "lr": 5e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.44208, "decode.acc_seg": 67.17044, "aux.loss_seg": 0.28397, "aux.acc_seg": 60.53503, "loss": 0.72605, "time": 0.40217} +{"mode": "train", "epoch": 34, "iter": 21000, "lr": 5e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.43001, "decode.acc_seg": 66.9081, "aux.loss_seg": 0.27878, "aux.acc_seg": 60.35197, "loss": 0.70879, "time": 0.40178} +{"mode": "train", "epoch": 34, "iter": 21050, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.41916, "decode.acc_seg": 68.2952, "aux.loss_seg": 0.27486, "aux.acc_seg": 62.00661, "loss": 0.69402, "time": 0.40173} +{"mode": "train", "epoch": 34, "iter": 21100, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.43362, "decode.acc_seg": 67.25846, "aux.loss_seg": 0.28236, "aux.acc_seg": 60.67364, "loss": 0.71599, "time": 0.40129} +{"mode": "train", "epoch": 34, "iter": 21150, "lr": 5e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.42719, "decode.acc_seg": 67.40485, "aux.loss_seg": 0.27575, "aux.acc_seg": 61.04144, "loss": 0.70294, "time": 0.40149} +{"mode": "train", "epoch": 34, "iter": 21200, "lr": 5e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.39474, "decode.acc_seg": 67.48681, "aux.loss_seg": 0.25027, "aux.acc_seg": 61.55763, "loss": 0.64501, "time": 0.4023} +{"mode": "train", "epoch": 34, "iter": 21250, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.42172, "decode.acc_seg": 67.96885, "aux.loss_seg": 0.26549, "aux.acc_seg": 62.04476, "loss": 0.68721, "time": 0.40237} +{"mode": "train", "epoch": 34, "iter": 21300, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.44583, "decode.acc_seg": 66.91463, "aux.loss_seg": 0.28903, "aux.acc_seg": 60.47112, "loss": 0.73487, "time": 0.40152} +{"mode": "train", "epoch": 34, "iter": 21350, "lr": 5e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.44438, "decode.acc_seg": 68.25156, "aux.loss_seg": 0.28028, "aux.acc_seg": 61.95957, "loss": 0.72466, "time": 0.40144} +{"mode": "train", "epoch": 34, "iter": 21400, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.45388, "decode.acc_seg": 66.26753, "aux.loss_seg": 0.28758, "aux.acc_seg": 59.61499, "loss": 0.74147, "time": 0.40142} +{"mode": "train", "epoch": 34, "iter": 21450, "lr": 5e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.42254, "decode.acc_seg": 68.28439, "aux.loss_seg": 0.27797, "aux.acc_seg": 61.61912, "loss": 0.70051, "time": 0.40175} +{"mode": "train", "epoch": 35, "iter": 21500, "lr": 5e-05, "memory": 22018, "data_time": 0.18145, "decode.loss_seg": 0.41967, "decode.acc_seg": 68.48857, "aux.loss_seg": 0.27622, "aux.acc_seg": 61.49053, "loss": 0.69589, "time": 0.57459} +{"mode": "train", "epoch": 35, "iter": 21550, "lr": 5e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.40621, "decode.acc_seg": 68.21545, "aux.loss_seg": 0.26769, "aux.acc_seg": 61.48682, "loss": 0.6739, "time": 0.40125} +{"mode": "train", "epoch": 35, "iter": 21600, "lr": 5e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.41105, "decode.acc_seg": 68.37223, "aux.loss_seg": 0.2718, "aux.acc_seg": 61.67007, "loss": 0.68285, "time": 0.40083} +{"mode": "train", "epoch": 35, "iter": 21650, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.43031, "decode.acc_seg": 66.71079, "aux.loss_seg": 0.28395, "aux.acc_seg": 59.90432, "loss": 0.71425, "time": 0.40109} +{"mode": "train", "epoch": 35, "iter": 21700, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.41411, "decode.acc_seg": 67.67242, "aux.loss_seg": 0.26622, "aux.acc_seg": 61.34094, "loss": 0.68033, "time": 0.4014} +{"mode": "train", "epoch": 35, "iter": 21750, "lr": 5e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.43519, "decode.acc_seg": 67.77484, "aux.loss_seg": 0.27481, "aux.acc_seg": 61.61588, "loss": 0.71, "time": 0.40095} +{"mode": "train", "epoch": 35, "iter": 21800, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.4295, "decode.acc_seg": 67.25198, "aux.loss_seg": 0.28138, "aux.acc_seg": 60.50014, "loss": 0.71088, "time": 0.40123} +{"mode": "train", "epoch": 35, "iter": 21850, "lr": 5e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.42345, "decode.acc_seg": 67.31243, "aux.loss_seg": 0.26892, "aux.acc_seg": 61.29906, "loss": 0.69237, "time": 0.40235} +{"mode": "train", "epoch": 35, "iter": 21900, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.41888, "decode.acc_seg": 67.85231, "aux.loss_seg": 0.27076, "aux.acc_seg": 61.32443, "loss": 0.68964, "time": 0.40136} +{"mode": "train", "epoch": 35, "iter": 21950, "lr": 5e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.4387, "decode.acc_seg": 67.69449, "aux.loss_seg": 0.27847, "aux.acc_seg": 61.47448, "loss": 0.71717, "time": 0.40247} +{"mode": "train", "epoch": 35, "iter": 22000, "lr": 5e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.43712, "decode.acc_seg": 67.13353, "aux.loss_seg": 0.28065, "aux.acc_seg": 60.46916, "loss": 0.71777, "time": 0.40249} +{"mode": "train", "epoch": 35, "iter": 22050, "lr": 5e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.43478, "decode.acc_seg": 67.28419, "aux.loss_seg": 0.2804, "aux.acc_seg": 61.02994, "loss": 0.71518, "time": 0.4018} +{"mode": "train", "epoch": 36, "iter": 22100, "lr": 5e-05, "memory": 22018, "data_time": 0.17631, "decode.loss_seg": 0.41984, "decode.acc_seg": 68.23381, "aux.loss_seg": 0.27166, "aux.acc_seg": 61.62398, "loss": 0.6915, "time": 0.57158} +{"mode": "train", "epoch": 36, "iter": 22150, "lr": 5e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.41579, "decode.acc_seg": 67.76208, "aux.loss_seg": 0.26996, "aux.acc_seg": 61.05043, "loss": 0.68575, "time": 0.40457} +{"mode": "train", "epoch": 36, "iter": 22200, "lr": 5e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.41551, "decode.acc_seg": 68.78452, "aux.loss_seg": 0.2763, "aux.acc_seg": 62.25243, "loss": 0.69181, "time": 0.40352} +{"mode": "train", "epoch": 36, "iter": 22250, "lr": 5e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.41535, "decode.acc_seg": 66.8698, "aux.loss_seg": 0.26956, "aux.acc_seg": 60.64538, "loss": 0.68491, "time": 0.40317} +{"mode": "train", "epoch": 36, "iter": 22300, "lr": 5e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.40701, "decode.acc_seg": 67.80678, "aux.loss_seg": 0.26685, "aux.acc_seg": 61.31707, "loss": 0.67386, "time": 0.4032} +{"mode": "train", "epoch": 36, "iter": 22350, "lr": 5e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.41417, "decode.acc_seg": 67.72665, "aux.loss_seg": 0.27424, "aux.acc_seg": 61.03275, "loss": 0.6884, "time": 0.40356} +{"mode": "train", "epoch": 36, "iter": 22400, "lr": 5e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.41561, "decode.acc_seg": 68.85277, "aux.loss_seg": 0.27113, "aux.acc_seg": 62.47371, "loss": 0.68674, "time": 0.4033} +{"mode": "train", "epoch": 36, "iter": 22450, "lr": 5e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.4304, "decode.acc_seg": 67.25516, "aux.loss_seg": 0.27861, "aux.acc_seg": 60.57863, "loss": 0.70901, "time": 0.40238} +{"mode": "train", "epoch": 36, "iter": 22500, "lr": 5e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.42452, "decode.acc_seg": 66.58942, "aux.loss_seg": 0.27211, "aux.acc_seg": 60.25454, "loss": 0.69663, "time": 0.40342} +{"mode": "train", "epoch": 36, "iter": 22550, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.42634, "decode.acc_seg": 67.325, "aux.loss_seg": 0.27172, "aux.acc_seg": 60.90035, "loss": 0.69806, "time": 0.40308} +{"mode": "train", "epoch": 36, "iter": 22600, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.41812, "decode.acc_seg": 67.32384, "aux.loss_seg": 0.27006, "aux.acc_seg": 60.91232, "loss": 0.68818, "time": 0.40315} +{"mode": "train", "epoch": 36, "iter": 22650, "lr": 5e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.40606, "decode.acc_seg": 67.12598, "aux.loss_seg": 0.26471, "aux.acc_seg": 60.91091, "loss": 0.67077, "time": 0.4034} +{"mode": "train", "epoch": 36, "iter": 22700, "lr": 5e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.41743, "decode.acc_seg": 67.67573, "aux.loss_seg": 0.26949, "aux.acc_seg": 61.1616, "loss": 0.68692, "time": 0.40366} +{"mode": "train", "epoch": 37, "iter": 22750, "lr": 5e-05, "memory": 22018, "data_time": 0.17558, "decode.loss_seg": 0.40862, "decode.acc_seg": 69.17777, "aux.loss_seg": 0.26724, "aux.acc_seg": 62.75763, "loss": 0.67586, "time": 0.56932} +{"mode": "train", "epoch": 37, "iter": 22800, "lr": 5e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.40056, "decode.acc_seg": 68.26584, "aux.loss_seg": 0.26757, "aux.acc_seg": 61.70809, "loss": 0.66813, "time": 0.40201} +{"mode": "train", "epoch": 37, "iter": 22850, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.40366, "decode.acc_seg": 67.6739, "aux.loss_seg": 0.26975, "aux.acc_seg": 60.98198, "loss": 0.6734, "time": 0.40187} +{"mode": "train", "epoch": 37, "iter": 22900, "lr": 5e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.39569, "decode.acc_seg": 68.33402, "aux.loss_seg": 0.26615, "aux.acc_seg": 61.4008, "loss": 0.66184, "time": 0.40236} +{"mode": "train", "epoch": 37, "iter": 22950, "lr": 5e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.42248, "decode.acc_seg": 67.66178, "aux.loss_seg": 0.27199, "aux.acc_seg": 61.39335, "loss": 0.69447, "time": 0.40226} +{"mode": "train", "epoch": 37, "iter": 23000, "lr": 5e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.40523, "decode.acc_seg": 67.74513, "aux.loss_seg": 0.26598, "aux.acc_seg": 61.17733, "loss": 0.67121, "time": 0.40208} +{"mode": "train", "epoch": 37, "iter": 23050, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.40835, "decode.acc_seg": 68.3602, "aux.loss_seg": 0.266, "aux.acc_seg": 61.82463, "loss": 0.67435, "time": 0.4017} +{"mode": "train", "epoch": 37, "iter": 23100, "lr": 5e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.42543, "decode.acc_seg": 67.92403, "aux.loss_seg": 0.27618, "aux.acc_seg": 61.66499, "loss": 0.70161, "time": 0.40175} +{"mode": "train", "epoch": 37, "iter": 23150, "lr": 5e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.41685, "decode.acc_seg": 67.36495, "aux.loss_seg": 0.27086, "aux.acc_seg": 61.05096, "loss": 0.6877, "time": 0.40212} +{"mode": "train", "epoch": 37, "iter": 23200, "lr": 5e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.42257, "decode.acc_seg": 67.62321, "aux.loss_seg": 0.26967, "aux.acc_seg": 61.61773, "loss": 0.69224, "time": 0.40208} +{"mode": "train", "epoch": 37, "iter": 23250, "lr": 5e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.43674, "decode.acc_seg": 66.96175, "aux.loss_seg": 0.28226, "aux.acc_seg": 60.36097, "loss": 0.719, "time": 0.40149} +{"mode": "train", "epoch": 37, "iter": 23300, "lr": 5e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.41121, "decode.acc_seg": 68.33987, "aux.loss_seg": 0.26788, "aux.acc_seg": 61.6586, "loss": 0.67909, "time": 0.40074} +{"mode": "train", "epoch": 38, "iter": 23350, "lr": 5e-05, "memory": 22018, "data_time": 0.17135, "decode.loss_seg": 0.41159, "decode.acc_seg": 68.42542, "aux.loss_seg": 0.27016, "aux.acc_seg": 61.86546, "loss": 0.68175, "time": 0.56568} +{"mode": "train", "epoch": 38, "iter": 23400, "lr": 5e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.41152, "decode.acc_seg": 67.80156, "aux.loss_seg": 0.26759, "aux.acc_seg": 61.52471, "loss": 0.67911, "time": 0.40358} +{"mode": "train", "epoch": 38, "iter": 23450, "lr": 5e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.39901, "decode.acc_seg": 68.43338, "aux.loss_seg": 0.26546, "aux.acc_seg": 61.76698, "loss": 0.66446, "time": 0.40371} +{"mode": "train", "epoch": 38, "iter": 23500, "lr": 5e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.40441, "decode.acc_seg": 69.41164, "aux.loss_seg": 0.26261, "aux.acc_seg": 63.11465, "loss": 0.66702, "time": 0.40289} +{"mode": "train", "epoch": 38, "iter": 23550, "lr": 5e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.39978, "decode.acc_seg": 67.47957, "aux.loss_seg": 0.26072, "aux.acc_seg": 61.37775, "loss": 0.66049, "time": 0.40289} +{"mode": "train", "epoch": 38, "iter": 23600, "lr": 5e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.42133, "decode.acc_seg": 68.26725, "aux.loss_seg": 0.2774, "aux.acc_seg": 61.37802, "loss": 0.69873, "time": 0.40267} +{"mode": "train", "epoch": 38, "iter": 23650, "lr": 5e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.41251, "decode.acc_seg": 68.31368, "aux.loss_seg": 0.26434, "aux.acc_seg": 61.83558, "loss": 0.67685, "time": 0.40172} +{"mode": "train", "epoch": 38, "iter": 23700, "lr": 5e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.40926, "decode.acc_seg": 66.48333, "aux.loss_seg": 0.26389, "aux.acc_seg": 60.25175, "loss": 0.67315, "time": 0.40172} +{"mode": "train", "epoch": 38, "iter": 23750, "lr": 5e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.4095, "decode.acc_seg": 69.23166, "aux.loss_seg": 0.2684, "aux.acc_seg": 62.4423, "loss": 0.6779, "time": 0.40134} +{"mode": "train", "epoch": 38, "iter": 23800, "lr": 5e-05, "memory": 22018, "data_time": 0.00743, "decode.loss_seg": 0.40436, "decode.acc_seg": 67.33857, "aux.loss_seg": 0.26723, "aux.acc_seg": 60.70403, "loss": 0.67159, "time": 0.40256} +{"mode": "train", "epoch": 38, "iter": 23850, "lr": 5e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.40814, "decode.acc_seg": 66.85977, "aux.loss_seg": 0.26439, "aux.acc_seg": 60.4676, "loss": 0.67253, "time": 0.40111} +{"mode": "train", "epoch": 38, "iter": 23900, "lr": 5e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.40083, "decode.acc_seg": 67.36404, "aux.loss_seg": 0.2676, "aux.acc_seg": 60.31424, "loss": 0.66843, "time": 0.40132} +{"mode": "train", "epoch": 38, "iter": 23950, "lr": 5e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.42251, "decode.acc_seg": 69.15844, "aux.loss_seg": 0.27504, "aux.acc_seg": 62.75656, "loss": 0.69756, "time": 0.40247} +{"mode": "train", "epoch": 39, "iter": 24000, "lr": 5e-05, "memory": 22018, "data_time": 0.17423, "decode.loss_seg": 0.40118, "decode.acc_seg": 66.99406, "aux.loss_seg": 0.26185, "aux.acc_seg": 60.89147, "loss": 0.66303, "time": 0.56866} +{"mode": "train", "epoch": 39, "iter": 24050, "lr": 5e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.39014, "decode.acc_seg": 68.1822, "aux.loss_seg": 0.26465, "aux.acc_seg": 61.29566, "loss": 0.65479, "time": 0.40386} +{"mode": "train", "epoch": 39, "iter": 24100, "lr": 5e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.38673, "decode.acc_seg": 67.87732, "aux.loss_seg": 0.25674, "aux.acc_seg": 61.5114, "loss": 0.64346, "time": 0.40338} +{"mode": "train", "epoch": 39, "iter": 24150, "lr": 5e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.40139, "decode.acc_seg": 67.58175, "aux.loss_seg": 0.26343, "aux.acc_seg": 61.2241, "loss": 0.66481, "time": 0.40314} +{"mode": "train", "epoch": 39, "iter": 24200, "lr": 5e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.42908, "decode.acc_seg": 66.94861, "aux.loss_seg": 0.26952, "aux.acc_seg": 61.3479, "loss": 0.69861, "time": 0.40305} +{"mode": "train", "epoch": 39, "iter": 24250, "lr": 5e-05, "memory": 22018, "data_time": 0.01006, "decode.loss_seg": 0.39548, "decode.acc_seg": 67.6964, "aux.loss_seg": 0.26502, "aux.acc_seg": 61.14395, "loss": 0.6605, "time": 0.40279} +{"mode": "train", "epoch": 39, "iter": 24300, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.41944, "decode.acc_seg": 68.18136, "aux.loss_seg": 0.27277, "aux.acc_seg": 61.70247, "loss": 0.69221, "time": 0.40379} +{"mode": "train", "epoch": 39, "iter": 24350, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.43169, "decode.acc_seg": 68.11772, "aux.loss_seg": 0.27751, "aux.acc_seg": 61.44271, "loss": 0.7092, "time": 0.40236} +{"mode": "train", "epoch": 39, "iter": 24400, "lr": 5e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.41544, "decode.acc_seg": 68.25095, "aux.loss_seg": 0.27015, "aux.acc_seg": 61.96841, "loss": 0.68559, "time": 0.40219} +{"mode": "train", "epoch": 39, "iter": 24450, "lr": 5e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.403, "decode.acc_seg": 68.26014, "aux.loss_seg": 0.25921, "aux.acc_seg": 62.31006, "loss": 0.66222, "time": 0.4032} +{"mode": "train", "epoch": 39, "iter": 24500, "lr": 5e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.41494, "decode.acc_seg": 66.89519, "aux.loss_seg": 0.27173, "aux.acc_seg": 60.41907, "loss": 0.68667, "time": 0.40385} +{"mode": "train", "epoch": 39, "iter": 24550, "lr": 5e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.42754, "decode.acc_seg": 68.72251, "aux.loss_seg": 0.27578, "aux.acc_seg": 61.84059, "loss": 0.70332, "time": 0.40273} +{"mode": "train", "epoch": 39, "iter": 24600, "lr": 5e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.39907, "decode.acc_seg": 68.05034, "aux.loss_seg": 0.26263, "aux.acc_seg": 61.61718, "loss": 0.66171, "time": 0.40272} +{"mode": "train", "epoch": 40, "iter": 24650, "lr": 5e-05, "memory": 22018, "data_time": 0.17505, "decode.loss_seg": 0.41003, "decode.acc_seg": 68.47708, "aux.loss_seg": 0.26192, "aux.acc_seg": 62.57339, "loss": 0.67195, "time": 0.56846} +{"mode": "train", "epoch": 40, "iter": 24700, "lr": 5e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.39217, "decode.acc_seg": 68.50903, "aux.loss_seg": 0.25667, "aux.acc_seg": 62.17733, "loss": 0.64884, "time": 0.4021} +{"mode": "train", "epoch": 40, "iter": 24750, "lr": 5e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.3928, "decode.acc_seg": 68.70074, "aux.loss_seg": 0.25276, "aux.acc_seg": 62.48274, "loss": 0.64556, "time": 0.40256} +{"mode": "train", "epoch": 40, "iter": 24800, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.40151, "decode.acc_seg": 68.60372, "aux.loss_seg": 0.2681, "aux.acc_seg": 61.94736, "loss": 0.66961, "time": 0.40252} +{"mode": "train", "epoch": 40, "iter": 24850, "lr": 5e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.38623, "decode.acc_seg": 67.74892, "aux.loss_seg": 0.25802, "aux.acc_seg": 61.47119, "loss": 0.64425, "time": 0.40267} +{"mode": "train", "epoch": 40, "iter": 24900, "lr": 5e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.40202, "decode.acc_seg": 69.06179, "aux.loss_seg": 0.26365, "aux.acc_seg": 62.51057, "loss": 0.66566, "time": 0.40226} +{"mode": "train", "epoch": 40, "iter": 24950, "lr": 5e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.39337, "decode.acc_seg": 68.30734, "aux.loss_seg": 0.26066, "aux.acc_seg": 61.67018, "loss": 0.65403, "time": 0.40294} +{"mode": "train", "epoch": 40, "iter": 25000, "lr": 5e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.39535, "decode.acc_seg": 68.35163, "aux.loss_seg": 0.26267, "aux.acc_seg": 61.87341, "loss": 0.65802, "time": 0.40255} +{"mode": "train", "epoch": 40, "iter": 25050, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.39595, "decode.acc_seg": 67.93861, "aux.loss_seg": 0.25991, "aux.acc_seg": 61.7682, "loss": 0.65586, "time": 0.40239} +{"mode": "train", "epoch": 40, "iter": 25100, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.40746, "decode.acc_seg": 68.18608, "aux.loss_seg": 0.26931, "aux.acc_seg": 61.69169, "loss": 0.67677, "time": 0.40242} +{"mode": "train", "epoch": 40, "iter": 25150, "lr": 5e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.41432, "decode.acc_seg": 68.32773, "aux.loss_seg": 0.26655, "aux.acc_seg": 61.89459, "loss": 0.68087, "time": 0.4023} +{"mode": "train", "epoch": 40, "iter": 25200, "lr": 5e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.42298, "decode.acc_seg": 67.74554, "aux.loss_seg": 0.27146, "aux.acc_seg": 61.49497, "loss": 0.69444, "time": 0.4032} +{"mode": "train", "epoch": 41, "iter": 25250, "lr": 5e-05, "memory": 22018, "data_time": 0.17445, "decode.loss_seg": 0.40786, "decode.acc_seg": 67.2218, "aux.loss_seg": 0.26618, "aux.acc_seg": 60.71817, "loss": 0.67403, "time": 0.56799} +{"mode": "train", "epoch": 41, "iter": 25300, "lr": 5e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.40319, "decode.acc_seg": 68.33542, "aux.loss_seg": 0.26246, "aux.acc_seg": 62.22301, "loss": 0.66565, "time": 0.40284} +{"mode": "train", "epoch": 41, "iter": 25350, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.40031, "decode.acc_seg": 68.5003, "aux.loss_seg": 0.26014, "aux.acc_seg": 62.19611, "loss": 0.66044, "time": 0.40244} +{"mode": "train", "epoch": 41, "iter": 25400, "lr": 5e-05, "memory": 22018, "data_time": 0.01011, "decode.loss_seg": 0.39433, "decode.acc_seg": 68.89604, "aux.loss_seg": 0.26582, "aux.acc_seg": 62.12331, "loss": 0.66015, "time": 0.40297} +{"mode": "train", "epoch": 41, "iter": 25450, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.3854, "decode.acc_seg": 69.32801, "aux.loss_seg": 0.25268, "aux.acc_seg": 62.86768, "loss": 0.63807, "time": 0.40297} +{"mode": "train", "epoch": 41, "iter": 25500, "lr": 5e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.40318, "decode.acc_seg": 67.91464, "aux.loss_seg": 0.26318, "aux.acc_seg": 61.68916, "loss": 0.66636, "time": 0.40296} +{"mode": "train", "epoch": 41, "iter": 25550, "lr": 5e-05, "memory": 22018, "data_time": 0.01081, "decode.loss_seg": 0.39804, "decode.acc_seg": 68.12213, "aux.loss_seg": 0.26756, "aux.acc_seg": 61.61562, "loss": 0.6656, "time": 0.4035} +{"mode": "train", "epoch": 41, "iter": 25600, "lr": 5e-05, "memory": 22018, "data_time": 0.0107, "decode.loss_seg": 0.40854, "decode.acc_seg": 67.68018, "aux.loss_seg": 0.27589, "aux.acc_seg": 60.66835, "loss": 0.68444, "time": 0.40304} +{"mode": "train", "epoch": 41, "iter": 25650, "lr": 5e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.39979, "decode.acc_seg": 68.55045, "aux.loss_seg": 0.26917, "aux.acc_seg": 61.47586, "loss": 0.66895, "time": 0.40336} +{"mode": "train", "epoch": 41, "iter": 25700, "lr": 5e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.40626, "decode.acc_seg": 67.56675, "aux.loss_seg": 0.26751, "aux.acc_seg": 61.1546, "loss": 0.67377, "time": 0.40219} +{"mode": "train", "epoch": 41, "iter": 25750, "lr": 5e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.40643, "decode.acc_seg": 67.86642, "aux.loss_seg": 0.26501, "aux.acc_seg": 61.38804, "loss": 0.67144, "time": 0.40241} +{"mode": "train", "epoch": 41, "iter": 25800, "lr": 5e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.38582, "decode.acc_seg": 68.7512, "aux.loss_seg": 0.25327, "aux.acc_seg": 62.19671, "loss": 0.63909, "time": 0.4027} +{"mode": "train", "epoch": 41, "iter": 25850, "lr": 5e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.4032, "decode.acc_seg": 69.06131, "aux.loss_seg": 0.26313, "aux.acc_seg": 62.46398, "loss": 0.66633, "time": 0.4027} +{"mode": "train", "epoch": 42, "iter": 25900, "lr": 5e-05, "memory": 22018, "data_time": 0.17953, "decode.loss_seg": 0.39835, "decode.acc_seg": 69.56815, "aux.loss_seg": 0.26209, "aux.acc_seg": 63.33214, "loss": 0.66044, "time": 0.57293} +{"mode": "train", "epoch": 42, "iter": 25950, "lr": 5e-05, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.38894, "decode.acc_seg": 67.85342, "aux.loss_seg": 0.25898, "aux.acc_seg": 61.14818, "loss": 0.64793, "time": 0.40185} +{"mode": "train", "epoch": 42, "iter": 26000, "lr": 5e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.38707, "decode.acc_seg": 68.51661, "aux.loss_seg": 0.25964, "aux.acc_seg": 61.71751, "loss": 0.64672, "time": 0.40389} +{"mode": "train", "epoch": 42, "iter": 26050, "lr": 5e-05, "memory": 22018, "data_time": 0.00999, "decode.loss_seg": 0.39067, "decode.acc_seg": 68.25674, "aux.loss_seg": 0.26204, "aux.acc_seg": 61.87153, "loss": 0.65271, "time": 0.40258} +{"mode": "train", "epoch": 42, "iter": 26100, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.40656, "decode.acc_seg": 68.38367, "aux.loss_seg": 0.2639, "aux.acc_seg": 61.88435, "loss": 0.67046, "time": 0.40219} +{"mode": "train", "epoch": 42, "iter": 26150, "lr": 5e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.39569, "decode.acc_seg": 68.27544, "aux.loss_seg": 0.25577, "aux.acc_seg": 62.12559, "loss": 0.65146, "time": 0.40292} +{"mode": "train", "epoch": 42, "iter": 26200, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.40758, "decode.acc_seg": 68.15744, "aux.loss_seg": 0.26448, "aux.acc_seg": 61.98549, "loss": 0.67206, "time": 0.40268} +{"mode": "train", "epoch": 42, "iter": 26250, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.40266, "decode.acc_seg": 68.19616, "aux.loss_seg": 0.26896, "aux.acc_seg": 61.68483, "loss": 0.67161, "time": 0.40248} +{"mode": "train", "epoch": 42, "iter": 26300, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.39717, "decode.acc_seg": 68.04507, "aux.loss_seg": 0.25502, "aux.acc_seg": 62.33619, "loss": 0.65219, "time": 0.4029} +{"mode": "train", "epoch": 42, "iter": 26350, "lr": 5e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.39101, "decode.acc_seg": 67.91248, "aux.loss_seg": 0.25165, "aux.acc_seg": 61.93013, "loss": 0.64266, "time": 0.40396} +{"mode": "train", "epoch": 42, "iter": 26400, "lr": 5e-05, "memory": 22018, "data_time": 0.01004, "decode.loss_seg": 0.41513, "decode.acc_seg": 67.6419, "aux.loss_seg": 0.27168, "aux.acc_seg": 61.1346, "loss": 0.68681, "time": 0.40237} +{"mode": "train", "epoch": 42, "iter": 26450, "lr": 5e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.39876, "decode.acc_seg": 68.16854, "aux.loss_seg": 0.2622, "aux.acc_seg": 61.7934, "loss": 0.66097, "time": 0.40337} +{"mode": "train", "epoch": 42, "iter": 26500, "lr": 5e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.38688, "decode.acc_seg": 68.27051, "aux.loss_seg": 0.2593, "aux.acc_seg": 61.65539, "loss": 0.64618, "time": 0.40175} +{"mode": "train", "epoch": 43, "iter": 26550, "lr": 5e-05, "memory": 22018, "data_time": 0.17377, "decode.loss_seg": 0.38622, "decode.acc_seg": 68.50744, "aux.loss_seg": 0.25959, "aux.acc_seg": 61.62844, "loss": 0.64581, "time": 0.56746} +{"mode": "train", "epoch": 43, "iter": 26600, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.37463, "decode.acc_seg": 68.55815, "aux.loss_seg": 0.25616, "aux.acc_seg": 61.87567, "loss": 0.63079, "time": 0.40239} +{"mode": "train", "epoch": 43, "iter": 26650, "lr": 5e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.37062, "decode.acc_seg": 68.50251, "aux.loss_seg": 0.25042, "aux.acc_seg": 62.30152, "loss": 0.62104, "time": 0.40199} +{"mode": "train", "epoch": 43, "iter": 26700, "lr": 5e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.39632, "decode.acc_seg": 68.49433, "aux.loss_seg": 0.26868, "aux.acc_seg": 61.81227, "loss": 0.665, "time": 0.40282} +{"mode": "train", "epoch": 43, "iter": 26750, "lr": 5e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.38704, "decode.acc_seg": 67.22441, "aux.loss_seg": 0.25142, "aux.acc_seg": 61.32626, "loss": 0.63847, "time": 0.40227} +{"mode": "train", "epoch": 43, "iter": 26800, "lr": 5e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.39363, "decode.acc_seg": 68.0917, "aux.loss_seg": 0.26017, "aux.acc_seg": 61.75609, "loss": 0.6538, "time": 0.40249} +{"mode": "train", "epoch": 43, "iter": 26850, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.39242, "decode.acc_seg": 68.7596, "aux.loss_seg": 0.2591, "aux.acc_seg": 62.45023, "loss": 0.65152, "time": 0.40227} +{"mode": "train", "epoch": 43, "iter": 26900, "lr": 5e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.38929, "decode.acc_seg": 68.59654, "aux.loss_seg": 0.25996, "aux.acc_seg": 62.17488, "loss": 0.64925, "time": 0.40176} +{"mode": "train", "epoch": 43, "iter": 26950, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.3839, "decode.acc_seg": 68.73198, "aux.loss_seg": 0.2554, "aux.acc_seg": 62.40995, "loss": 0.6393, "time": 0.4022} +{"mode": "train", "epoch": 43, "iter": 27000, "lr": 5e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.38204, "decode.acc_seg": 68.8646, "aux.loss_seg": 0.24732, "aux.acc_seg": 63.12623, "loss": 0.62936, "time": 0.40224} +{"mode": "train", "epoch": 43, "iter": 27050, "lr": 5e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.39928, "decode.acc_seg": 68.41667, "aux.loss_seg": 0.25809, "aux.acc_seg": 62.03923, "loss": 0.65737, "time": 0.40213} +{"mode": "train", "epoch": 43, "iter": 27100, "lr": 5e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.39876, "decode.acc_seg": 68.78766, "aux.loss_seg": 0.26984, "aux.acc_seg": 61.96242, "loss": 0.6686, "time": 0.40187} +{"mode": "train", "epoch": 44, "iter": 27150, "lr": 5e-05, "memory": 22018, "data_time": 0.1746, "decode.loss_seg": 0.39434, "decode.acc_seg": 68.38885, "aux.loss_seg": 0.26145, "aux.acc_seg": 61.85827, "loss": 0.65579, "time": 0.56811} +{"mode": "train", "epoch": 44, "iter": 27200, "lr": 5e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.37867, "decode.acc_seg": 69.53393, "aux.loss_seg": 0.25298, "aux.acc_seg": 63.08023, "loss": 0.63165, "time": 0.40219} +{"mode": "train", "epoch": 44, "iter": 27250, "lr": 5e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.38977, "decode.acc_seg": 68.50088, "aux.loss_seg": 0.26092, "aux.acc_seg": 61.68097, "loss": 0.65069, "time": 0.40294} +{"mode": "train", "epoch": 44, "iter": 27300, "lr": 5e-05, "memory": 22018, "data_time": 0.01007, "decode.loss_seg": 0.37801, "decode.acc_seg": 69.15465, "aux.loss_seg": 0.25516, "aux.acc_seg": 62.60297, "loss": 0.63317, "time": 0.40325} +{"mode": "train", "epoch": 44, "iter": 27350, "lr": 5e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.39984, "decode.acc_seg": 69.78713, "aux.loss_seg": 0.26177, "aux.acc_seg": 63.65697, "loss": 0.66161, "time": 0.40409} +{"mode": "train", "epoch": 44, "iter": 27400, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.38469, "decode.acc_seg": 68.9227, "aux.loss_seg": 0.25979, "aux.acc_seg": 62.34992, "loss": 0.64448, "time": 0.40355} +{"mode": "train", "epoch": 44, "iter": 27450, "lr": 5e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.40356, "decode.acc_seg": 69.18273, "aux.loss_seg": 0.27289, "aux.acc_seg": 62.10904, "loss": 0.67645, "time": 0.40267} +{"mode": "train", "epoch": 44, "iter": 27500, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.37968, "decode.acc_seg": 68.03076, "aux.loss_seg": 0.25144, "aux.acc_seg": 61.91606, "loss": 0.63112, "time": 0.40283} +{"mode": "train", "epoch": 44, "iter": 27550, "lr": 5e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.39413, "decode.acc_seg": 68.66158, "aux.loss_seg": 0.25626, "aux.acc_seg": 62.5939, "loss": 0.6504, "time": 0.40266} +{"mode": "train", "epoch": 44, "iter": 27600, "lr": 5e-05, "memory": 22018, "data_time": 0.0104, "decode.loss_seg": 0.38207, "decode.acc_seg": 68.81142, "aux.loss_seg": 0.2548, "aux.acc_seg": 62.37375, "loss": 0.63688, "time": 0.40305} +{"mode": "train", "epoch": 44, "iter": 27650, "lr": 5e-05, "memory": 22018, "data_time": 0.01072, "decode.loss_seg": 0.39167, "decode.acc_seg": 68.09487, "aux.loss_seg": 0.26523, "aux.acc_seg": 61.28245, "loss": 0.6569, "time": 0.40342} +{"mode": "train", "epoch": 44, "iter": 27700, "lr": 5e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.39724, "decode.acc_seg": 68.29328, "aux.loss_seg": 0.25695, "aux.acc_seg": 61.92043, "loss": 0.65418, "time": 0.40282} +{"mode": "train", "epoch": 44, "iter": 27750, "lr": 5e-05, "memory": 22018, "data_time": 0.01029, "decode.loss_seg": 0.38222, "decode.acc_seg": 68.24268, "aux.loss_seg": 0.25597, "aux.acc_seg": 62.05967, "loss": 0.63819, "time": 0.40367} +{"mode": "train", "epoch": 45, "iter": 27800, "lr": 5e-05, "memory": 22018, "data_time": 0.18546, "decode.loss_seg": 0.37364, "decode.acc_seg": 68.52829, "aux.loss_seg": 0.2531, "aux.acc_seg": 62.26184, "loss": 0.62673, "time": 0.57808} +{"mode": "train", "epoch": 45, "iter": 27850, "lr": 5e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.37925, "decode.acc_seg": 69.27615, "aux.loss_seg": 0.25523, "aux.acc_seg": 62.57373, "loss": 0.63447, "time": 0.4018} +{"mode": "train", "epoch": 45, "iter": 27900, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.39067, "decode.acc_seg": 68.35724, "aux.loss_seg": 0.26208, "aux.acc_seg": 61.63535, "loss": 0.65275, "time": 0.40175} +{"mode": "train", "epoch": 45, "iter": 27950, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.37983, "decode.acc_seg": 69.14918, "aux.loss_seg": 0.25417, "aux.acc_seg": 62.77517, "loss": 0.63401, "time": 0.4013} +{"mode": "train", "epoch": 45, "iter": 28000, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.38262, "decode.acc_seg": 69.36835, "aux.loss_seg": 0.25848, "aux.acc_seg": 62.80976, "loss": 0.6411, "time": 0.40125} +{"mode": "train", "epoch": 45, "iter": 28050, "lr": 5e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.35982, "decode.acc_seg": 69.01909, "aux.loss_seg": 0.24302, "aux.acc_seg": 62.41687, "loss": 0.60283, "time": 0.40171} +{"mode": "train", "epoch": 45, "iter": 28100, "lr": 5e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.39021, "decode.acc_seg": 68.34403, "aux.loss_seg": 0.25863, "aux.acc_seg": 61.77656, "loss": 0.64884, "time": 0.40132} +{"mode": "train", "epoch": 45, "iter": 28150, "lr": 5e-05, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.38221, "decode.acc_seg": 67.71236, "aux.loss_seg": 0.25094, "aux.acc_seg": 61.62926, "loss": 0.63315, "time": 0.40231} +{"mode": "train", "epoch": 45, "iter": 28200, "lr": 5e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.39161, "decode.acc_seg": 68.63771, "aux.loss_seg": 0.26401, "aux.acc_seg": 61.90022, "loss": 0.65562, "time": 0.40247} +{"mode": "train", "epoch": 45, "iter": 28250, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.38738, "decode.acc_seg": 67.83671, "aux.loss_seg": 0.25666, "aux.acc_seg": 61.42031, "loss": 0.64404, "time": 0.40223} +{"mode": "train", "epoch": 45, "iter": 28300, "lr": 5e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.39386, "decode.acc_seg": 69.0321, "aux.loss_seg": 0.26296, "aux.acc_seg": 62.55904, "loss": 0.65682, "time": 0.40241} +{"mode": "train", "epoch": 45, "iter": 28350, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.39139, "decode.acc_seg": 67.64771, "aux.loss_seg": 0.25868, "aux.acc_seg": 61.06273, "loss": 0.65007, "time": 0.40156} +{"mode": "train", "epoch": 46, "iter": 28400, "lr": 5e-05, "memory": 22018, "data_time": 0.1717, "decode.loss_seg": 0.3806, "decode.acc_seg": 68.40793, "aux.loss_seg": 0.25341, "aux.acc_seg": 62.07802, "loss": 0.63401, "time": 0.56415} +{"mode": "train", "epoch": 46, "iter": 28450, "lr": 5e-05, "memory": 22018, "data_time": 0.01186, "decode.loss_seg": 0.35682, "decode.acc_seg": 69.88019, "aux.loss_seg": 0.24545, "aux.acc_seg": 63.1881, "loss": 0.60227, "time": 0.40455} +{"mode": "train", "epoch": 46, "iter": 28500, "lr": 5e-05, "memory": 22018, "data_time": 0.01148, "decode.loss_seg": 0.3916, "decode.acc_seg": 69.45587, "aux.loss_seg": 0.26016, "aux.acc_seg": 62.65463, "loss": 0.65176, "time": 0.40422} +{"mode": "train", "epoch": 46, "iter": 28550, "lr": 5e-05, "memory": 22018, "data_time": 0.01091, "decode.loss_seg": 0.37946, "decode.acc_seg": 68.71236, "aux.loss_seg": 0.24869, "aux.acc_seg": 62.51407, "loss": 0.62815, "time": 0.40333} +{"mode": "train", "epoch": 46, "iter": 28600, "lr": 5e-05, "memory": 22018, "data_time": 0.01025, "decode.loss_seg": 0.38391, "decode.acc_seg": 67.87376, "aux.loss_seg": 0.25411, "aux.acc_seg": 61.79899, "loss": 0.63802, "time": 0.40313} +{"mode": "train", "epoch": 46, "iter": 28650, "lr": 5e-05, "memory": 22018, "data_time": 0.01006, "decode.loss_seg": 0.38035, "decode.acc_seg": 69.56819, "aux.loss_seg": 0.25822, "aux.acc_seg": 62.86654, "loss": 0.63857, "time": 0.40331} +{"mode": "train", "epoch": 46, "iter": 28700, "lr": 5e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.39577, "decode.acc_seg": 68.5231, "aux.loss_seg": 0.26688, "aux.acc_seg": 61.72726, "loss": 0.66265, "time": 0.40289} +{"mode": "train", "epoch": 46, "iter": 28750, "lr": 5e-05, "memory": 22018, "data_time": 0.01011, "decode.loss_seg": 0.38382, "decode.acc_seg": 69.33129, "aux.loss_seg": 0.25941, "aux.acc_seg": 62.86288, "loss": 0.64323, "time": 0.40298} +{"mode": "train", "epoch": 46, "iter": 28800, "lr": 5e-05, "memory": 22018, "data_time": 0.01125, "decode.loss_seg": 0.37091, "decode.acc_seg": 69.17411, "aux.loss_seg": 0.25009, "aux.acc_seg": 62.9378, "loss": 0.621, "time": 0.40376} +{"mode": "train", "epoch": 46, "iter": 28850, "lr": 5e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.37769, "decode.acc_seg": 68.37558, "aux.loss_seg": 0.24827, "aux.acc_seg": 62.27266, "loss": 0.62595, "time": 0.40322} +{"mode": "train", "epoch": 46, "iter": 28900, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.40179, "decode.acc_seg": 68.51314, "aux.loss_seg": 0.26381, "aux.acc_seg": 62.00011, "loss": 0.6656, "time": 0.40351} +{"mode": "train", "epoch": 46, "iter": 28950, "lr": 5e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.39479, "decode.acc_seg": 68.2824, "aux.loss_seg": 0.25896, "aux.acc_seg": 62.03339, "loss": 0.65376, "time": 0.40377} +{"mode": "train", "epoch": 46, "iter": 29000, "lr": 5e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.38028, "decode.acc_seg": 69.38988, "aux.loss_seg": 0.25895, "aux.acc_seg": 62.73119, "loss": 0.63923, "time": 0.40366} +{"mode": "train", "epoch": 47, "iter": 29050, "lr": 5e-05, "memory": 22018, "data_time": 0.1775, "decode.loss_seg": 0.37971, "decode.acc_seg": 69.02522, "aux.loss_seg": 0.25398, "aux.acc_seg": 62.56906, "loss": 0.6337, "time": 0.57109} +{"mode": "train", "epoch": 47, "iter": 29100, "lr": 5e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.35476, "decode.acc_seg": 69.60374, "aux.loss_seg": 0.24335, "aux.acc_seg": 63.08049, "loss": 0.5981, "time": 0.40276} +{"mode": "train", "epoch": 47, "iter": 29150, "lr": 5e-05, "memory": 22018, "data_time": 0.01022, "decode.loss_seg": 0.37718, "decode.acc_seg": 69.2771, "aux.loss_seg": 0.25354, "aux.acc_seg": 62.5489, "loss": 0.63072, "time": 0.40352} +{"mode": "train", "epoch": 47, "iter": 29200, "lr": 5e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.38947, "decode.acc_seg": 68.9767, "aux.loss_seg": 0.25938, "aux.acc_seg": 62.5599, "loss": 0.64885, "time": 0.40349} +{"mode": "train", "epoch": 47, "iter": 29250, "lr": 5e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.37628, "decode.acc_seg": 68.3634, "aux.loss_seg": 0.25625, "aux.acc_seg": 61.52732, "loss": 0.63253, "time": 0.40315} +{"mode": "train", "epoch": 47, "iter": 29300, "lr": 5e-05, "memory": 22018, "data_time": 0.01108, "decode.loss_seg": 0.37953, "decode.acc_seg": 68.98501, "aux.loss_seg": 0.2558, "aux.acc_seg": 62.30425, "loss": 0.63533, "time": 0.40328} +{"mode": "train", "epoch": 47, "iter": 29350, "lr": 5e-05, "memory": 22018, "data_time": 0.01099, "decode.loss_seg": 0.3871, "decode.acc_seg": 68.94025, "aux.loss_seg": 0.25307, "aux.acc_seg": 62.5471, "loss": 0.64017, "time": 0.40371} +{"mode": "train", "epoch": 47, "iter": 29400, "lr": 5e-05, "memory": 22018, "data_time": 0.01066, "decode.loss_seg": 0.37635, "decode.acc_seg": 68.12218, "aux.loss_seg": 0.24927, "aux.acc_seg": 62.16123, "loss": 0.62562, "time": 0.40307} +{"mode": "train", "epoch": 47, "iter": 29450, "lr": 5e-05, "memory": 22018, "data_time": 0.01053, "decode.loss_seg": 0.38764, "decode.acc_seg": 68.46113, "aux.loss_seg": 0.25504, "aux.acc_seg": 61.99572, "loss": 0.64267, "time": 0.40311} +{"mode": "train", "epoch": 47, "iter": 29500, "lr": 5e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.38517, "decode.acc_seg": 67.78412, "aux.loss_seg": 0.257, "aux.acc_seg": 61.1478, "loss": 0.64217, "time": 0.40279} +{"mode": "train", "epoch": 47, "iter": 29550, "lr": 5e-05, "memory": 22018, "data_time": 0.01081, "decode.loss_seg": 0.37613, "decode.acc_seg": 69.29014, "aux.loss_seg": 0.25103, "aux.acc_seg": 63.00874, "loss": 0.62716, "time": 0.4033} +{"mode": "train", "epoch": 47, "iter": 29600, "lr": 5e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.37432, "decode.acc_seg": 69.84627, "aux.loss_seg": 0.25381, "aux.acc_seg": 63.19466, "loss": 0.62813, "time": 0.40326} +{"mode": "train", "epoch": 47, "iter": 29650, "lr": 5e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.38534, "decode.acc_seg": 69.48622, "aux.loss_seg": 0.25642, "aux.acc_seg": 62.94322, "loss": 0.64176, "time": 0.40381} +{"mode": "train", "epoch": 48, "iter": 29700, "lr": 5e-05, "memory": 22018, "data_time": 0.17964, "decode.loss_seg": 0.37902, "decode.acc_seg": 68.97883, "aux.loss_seg": 0.25401, "aux.acc_seg": 62.20662, "loss": 0.63304, "time": 0.57334} +{"mode": "train", "epoch": 48, "iter": 29750, "lr": 5e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.36346, "decode.acc_seg": 68.86253, "aux.loss_seg": 0.23996, "aux.acc_seg": 62.98907, "loss": 0.60341, "time": 0.40136} +{"mode": "train", "epoch": 48, "iter": 29800, "lr": 5e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.36417, "decode.acc_seg": 69.03461, "aux.loss_seg": 0.24611, "aux.acc_seg": 62.46001, "loss": 0.61027, "time": 0.40123} +{"mode": "train", "epoch": 48, "iter": 29850, "lr": 5e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.37701, "decode.acc_seg": 68.56261, "aux.loss_seg": 0.25394, "aux.acc_seg": 61.80533, "loss": 0.63096, "time": 0.40172} +{"mode": "train", "epoch": 48, "iter": 29900, "lr": 5e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.3711, "decode.acc_seg": 68.43452, "aux.loss_seg": 0.25387, "aux.acc_seg": 61.71043, "loss": 0.62498, "time": 0.40253} +{"mode": "train", "epoch": 48, "iter": 29950, "lr": 5e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.38627, "decode.acc_seg": 68.75453, "aux.loss_seg": 0.25213, "aux.acc_seg": 62.32452, "loss": 0.6384, "time": 0.40228} +{"mode": "train", "epoch": 48, "iter": 30000, "lr": 5e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.37656, "decode.acc_seg": 69.14049, "aux.loss_seg": 0.24871, "aux.acc_seg": 63.00837, "loss": 0.62527, "time": 0.40164} +{"mode": "train", "epoch": 48, "iter": 30050, "lr": 5e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.3789, "decode.acc_seg": 67.99552, "aux.loss_seg": 0.25116, "aux.acc_seg": 61.89725, "loss": 0.63006, "time": 0.40176} +{"mode": "train", "epoch": 48, "iter": 30100, "lr": 5e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.36171, "decode.acc_seg": 69.52277, "aux.loss_seg": 0.24104, "aux.acc_seg": 63.29449, "loss": 0.60274, "time": 0.40204} +{"mode": "train", "epoch": 48, "iter": 30150, "lr": 5e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.38317, "decode.acc_seg": 68.86373, "aux.loss_seg": 0.25597, "aux.acc_seg": 62.29368, "loss": 0.63914, "time": 0.40167} +{"mode": "train", "epoch": 48, "iter": 30200, "lr": 5e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.39233, "decode.acc_seg": 68.91546, "aux.loss_seg": 0.25934, "aux.acc_seg": 62.6593, "loss": 0.65167, "time": 0.40157} +{"mode": "train", "epoch": 48, "iter": 30250, "lr": 5e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.37918, "decode.acc_seg": 68.85156, "aux.loss_seg": 0.25464, "aux.acc_seg": 62.55561, "loss": 0.63382, "time": 0.40175} +{"mode": "train", "epoch": 49, "iter": 30300, "lr": 5e-05, "memory": 22018, "data_time": 0.17715, "decode.loss_seg": 0.37461, "decode.acc_seg": 68.8872, "aux.loss_seg": 0.25267, "aux.acc_seg": 62.59837, "loss": 0.62728, "time": 0.57079} +{"mode": "train", "epoch": 49, "iter": 30350, "lr": 5e-05, "memory": 22018, "data_time": 0.00951, "decode.loss_seg": 0.36578, "decode.acc_seg": 69.89022, "aux.loss_seg": 0.24918, "aux.acc_seg": 63.29319, "loss": 0.61496, "time": 0.40194} +{"mode": "train", "epoch": 49, "iter": 30400, "lr": 5e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.36019, "decode.acc_seg": 68.9191, "aux.loss_seg": 0.24414, "aux.acc_seg": 62.43328, "loss": 0.60433, "time": 0.40199} +{"mode": "train", "epoch": 49, "iter": 30450, "lr": 5e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.36175, "decode.acc_seg": 68.97105, "aux.loss_seg": 0.23889, "aux.acc_seg": 62.89535, "loss": 0.60064, "time": 0.40165} +{"mode": "train", "epoch": 49, "iter": 30500, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.36208, "decode.acc_seg": 68.84191, "aux.loss_seg": 0.24721, "aux.acc_seg": 62.5367, "loss": 0.60929, "time": 0.40143} +{"mode": "train", "epoch": 49, "iter": 30550, "lr": 5e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.37928, "decode.acc_seg": 69.55992, "aux.loss_seg": 0.25278, "aux.acc_seg": 63.26234, "loss": 0.63206, "time": 0.40324} +{"mode": "train", "epoch": 49, "iter": 30600, "lr": 5e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.37041, "decode.acc_seg": 68.30226, "aux.loss_seg": 0.24852, "aux.acc_seg": 61.77638, "loss": 0.61894, "time": 0.40237} +{"mode": "train", "epoch": 49, "iter": 30650, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.37963, "decode.acc_seg": 69.65346, "aux.loss_seg": 0.25912, "aux.acc_seg": 62.85989, "loss": 0.63874, "time": 0.40193} +{"mode": "train", "epoch": 49, "iter": 30700, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.34798, "decode.acc_seg": 69.44873, "aux.loss_seg": 0.24509, "aux.acc_seg": 62.67506, "loss": 0.59307, "time": 0.40177} +{"mode": "train", "epoch": 49, "iter": 30750, "lr": 5e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.37476, "decode.acc_seg": 69.46219, "aux.loss_seg": 0.25538, "aux.acc_seg": 62.90114, "loss": 0.63014, "time": 0.40264} +{"mode": "train", "epoch": 49, "iter": 30800, "lr": 5e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.37867, "decode.acc_seg": 69.44719, "aux.loss_seg": 0.25381, "aux.acc_seg": 62.85134, "loss": 0.63248, "time": 0.40184} +{"mode": "train", "epoch": 49, "iter": 30850, "lr": 5e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.36889, "decode.acc_seg": 69.32323, "aux.loss_seg": 0.25653, "aux.acc_seg": 62.37027, "loss": 0.62542, "time": 0.40118} +{"mode": "train", "epoch": 49, "iter": 30900, "lr": 5e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.38332, "decode.acc_seg": 68.69315, "aux.loss_seg": 0.2549, "aux.acc_seg": 62.09469, "loss": 0.63821, "time": 0.40151} +{"mode": "train", "epoch": 50, "iter": 30950, "lr": 5e-05, "memory": 22018, "data_time": 0.16936, "decode.loss_seg": 0.37666, "decode.acc_seg": 68.53908, "aux.loss_seg": 0.25204, "aux.acc_seg": 61.8809, "loss": 0.6287, "time": 0.56361} +{"mode": "train", "epoch": 50, "iter": 31000, "lr": 5e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.36021, "decode.acc_seg": 70.43953, "aux.loss_seg": 0.24611, "aux.acc_seg": 63.89439, "loss": 0.60632, "time": 0.40226} +{"mode": "train", "epoch": 50, "iter": 31050, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.35827, "decode.acc_seg": 69.97031, "aux.loss_seg": 0.24753, "aux.acc_seg": 63.17238, "loss": 0.60579, "time": 0.40208} +{"mode": "train", "epoch": 50, "iter": 31100, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.37375, "decode.acc_seg": 68.9494, "aux.loss_seg": 0.25138, "aux.acc_seg": 62.63621, "loss": 0.62512, "time": 0.40244} +{"mode": "train", "epoch": 50, "iter": 31150, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.35765, "decode.acc_seg": 69.54129, "aux.loss_seg": 0.24432, "aux.acc_seg": 62.89356, "loss": 0.60196, "time": 0.40258} +{"mode": "train", "epoch": 50, "iter": 31200, "lr": 5e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.35828, "decode.acc_seg": 70.01294, "aux.loss_seg": 0.24147, "aux.acc_seg": 63.92089, "loss": 0.59976, "time": 0.40249} +{"mode": "train", "epoch": 50, "iter": 31250, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.37114, "decode.acc_seg": 69.39899, "aux.loss_seg": 0.25002, "aux.acc_seg": 63.0235, "loss": 0.62116, "time": 0.40283} +{"mode": "train", "epoch": 50, "iter": 31300, "lr": 5e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.3767, "decode.acc_seg": 68.05409, "aux.loss_seg": 0.25155, "aux.acc_seg": 61.78504, "loss": 0.62825, "time": 0.40302} +{"mode": "train", "epoch": 50, "iter": 31350, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.3745, "decode.acc_seg": 69.27977, "aux.loss_seg": 0.25431, "aux.acc_seg": 62.54269, "loss": 0.6288, "time": 0.4032} +{"mode": "train", "epoch": 50, "iter": 31400, "lr": 5e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.37433, "decode.acc_seg": 68.92883, "aux.loss_seg": 0.25136, "aux.acc_seg": 62.45717, "loss": 0.62569, "time": 0.40353} +{"mode": "train", "epoch": 50, "iter": 31450, "lr": 5e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.36652, "decode.acc_seg": 68.82651, "aux.loss_seg": 0.24235, "aux.acc_seg": 62.52338, "loss": 0.60887, "time": 0.40381} +{"mode": "train", "epoch": 50, "iter": 31500, "lr": 5e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.36911, "decode.acc_seg": 68.80954, "aux.loss_seg": 0.24964, "aux.acc_seg": 62.28037, "loss": 0.61875, "time": 0.40437} +{"mode": "train", "epoch": 50, "iter": 31550, "lr": 5e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.35624, "decode.acc_seg": 69.82139, "aux.loss_seg": 0.2374, "aux.acc_seg": 63.63891, "loss": 0.59364, "time": 0.40323} +{"mode": "train", "epoch": 51, "iter": 31600, "lr": 5e-05, "memory": 22018, "data_time": 0.16983, "decode.loss_seg": 0.37272, "decode.acc_seg": 69.41614, "aux.loss_seg": 0.252, "aux.acc_seg": 63.11225, "loss": 0.62472, "time": 0.56412} +{"mode": "train", "epoch": 51, "iter": 31650, "lr": 5e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.37254, "decode.acc_seg": 69.99251, "aux.loss_seg": 0.24984, "aux.acc_seg": 63.36988, "loss": 0.62238, "time": 0.40252} +{"mode": "train", "epoch": 51, "iter": 31700, "lr": 5e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.35504, "decode.acc_seg": 69.35565, "aux.loss_seg": 0.24734, "aux.acc_seg": 62.49535, "loss": 0.60238, "time": 0.40221} +{"mode": "train", "epoch": 51, "iter": 31750, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.3463, "decode.acc_seg": 70.63434, "aux.loss_seg": 0.24069, "aux.acc_seg": 64.06262, "loss": 0.58699, "time": 0.40201} +{"mode": "train", "epoch": 51, "iter": 31800, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.37664, "decode.acc_seg": 69.30888, "aux.loss_seg": 0.25637, "aux.acc_seg": 62.77412, "loss": 0.63301, "time": 0.40238} +{"mode": "train", "epoch": 51, "iter": 31850, "lr": 5e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.36486, "decode.acc_seg": 69.58267, "aux.loss_seg": 0.24666, "aux.acc_seg": 63.05177, "loss": 0.61152, "time": 0.40176} +{"mode": "train", "epoch": 51, "iter": 31900, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.3526, "decode.acc_seg": 68.75751, "aux.loss_seg": 0.23776, "aux.acc_seg": 62.68612, "loss": 0.59036, "time": 0.40222} +{"mode": "train", "epoch": 51, "iter": 31950, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.35557, "decode.acc_seg": 69.15642, "aux.loss_seg": 0.24557, "aux.acc_seg": 62.38784, "loss": 0.60114, "time": 0.40199} +{"mode": "val", "epoch": 51, "iter": 32000, "lr": 5e-05, "mIoU": 0.4288, "mAcc": 0.557, "aAcc": 0.8062, "IoU.wall": 0.7386, "IoU.building": 0.8048, "IoU.sky": 0.9353, "IoU.floor": 0.7974, "IoU.tree": 0.7241, "IoU.ceiling": 0.815, "IoU.road": 0.8159, "IoU.bed ": 0.8314, "IoU.windowpane": 0.5778, "IoU.grass": 0.6642, "IoU.cabinet": 0.5837, "IoU.sidewalk": 0.5983, "IoU.person": 0.7599, "IoU.earth": 0.3591, "IoU.door": 0.3829, "IoU.table": 0.5218, "IoU.mountain": 0.5723, "IoU.plant": 0.4882, "IoU.curtain": 0.685, "IoU.chair": 0.5034, "IoU.car": 0.814, "IoU.water": 0.601, "IoU.painting": 0.6733, "IoU.sofa": 0.5402, "IoU.shelf": 0.3458, "IoU.house": 0.5037, "IoU.sea": 0.555, "IoU.mirror": 0.5789, "IoU.rug": 0.6362, "IoU.field": 0.2741, "IoU.armchair": 0.3061, "IoU.seat": 0.5779, "IoU.fence": 0.4219, "IoU.desk": 0.402, "IoU.rock": 0.4705, "IoU.wardrobe": 0.5158, "IoU.lamp": 0.5252, "IoU.bathtub": 0.7318, "IoU.railing": 0.3514, "IoU.cushion": 0.4562, "IoU.base": 0.2739, "IoU.box": 0.1947, "IoU.column": 0.4113, "IoU.signboard": 0.3263, "IoU.chest of drawers": 0.3591, "IoU.counter": 0.2694, "IoU.sand": 0.2896, "IoU.sink": 0.6337, "IoU.skyscraper": 0.6638, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5939, "IoU.grandstand": 0.2973, "IoU.path": 0.1953, "IoU.stairs": 0.2547, "IoU.runway": 0.69, "IoU.case": 0.3849, "IoU.pool table": 0.904, "IoU.pillow": 0.495, "IoU.screen door": 0.502, "IoU.stairway": 0.2692, "IoU.river": 0.0663, "IoU.bridge": 0.4971, "IoU.bookcase": 0.3532, "IoU.blind": NaN, "IoU.coffee table": 0.5201, "IoU.toilet": 0.7668, "IoU.flower": 0.3629, "IoU.book": 0.3926, "IoU.hill": 0.1249, "IoU.bench": 0.3829, "IoU.countertop": 0.5379, "IoU.stove": 0.5921, "IoU.palm": 0.4044, "IoU.kitchen island": 0.3412, "IoU.computer": 0.5147, "IoU.swivel chair": 0.4161, "IoU.boat": 0.4395, "IoU.bar": 0.3541, "IoU.arcade machine": 0.6905, "IoU.hovel": 0.3512, "IoU.bus": 0.7691, "IoU.towel": 0.5727, "IoU.light": 0.4599, "IoU.truck": 0.2768, "IoU.tower": 0.3558, "IoU.chandelier": 0.6085, "IoU.awning": 0.2791, "IoU.streetlight": 0.1815, "IoU.booth": 0.4778, "IoU.television receiver": NaN, "IoU.airplane": 0.483, "IoU.dirt track": 0.0846, "IoU.apparel": 0.2694, "IoU.pole": 0.1089, "IoU.land": 0.0, "IoU.bannister": 0.091, "IoU.escalator": 0.2605, "IoU.ottoman": 0.3073, "IoU.bottle": NaN, "IoU.buffet": 0.4139, "IoU.poster": 0.2545, "IoU.stage": 0.1127, "IoU.van": 0.3693, "IoU.ship": 0.224, "IoU.fountain": 0.1966, "IoU.conveyer belt": 0.5311, "IoU.canopy": 0.1676, "IoU.washer": 0.7011, "IoU.plaything": 0.1263, "IoU.swimming pool": 0.7039, "IoU.stool": 0.3158, "IoU.barrel": 0.1462, "IoU.basket": 0.2078, "IoU.waterfall": 0.3805, "IoU.tent": 0.936, "IoU.bag": 0.1512, "IoU.minibike": 0.6299, "IoU.cradle": NaN, "IoU.oven": 0.2115, "IoU.ball": 0.4056, "IoU.food": 0.5416, "IoU.step": 0.0426, "IoU.tank": 0.5135, "IoU.trade name": 0.1701, "IoU.microwave": 0.3237, "IoU.pot": 0.4405, "IoU.animal": NaN, "IoU.bicycle": 0.4582, "IoU.lake": 0.4011, "IoU.dishwasher": 0.4258, "IoU.screen": 0.5822, "IoU.blanket": 0.0517, "IoU.sculpture": 0.4237, "IoU.hood": 0.5086, "IoU.sconce": 0.304, "IoU.vase": 0.267, "IoU.traffic light": 0.1946, "IoU.tray": 0.0199, "IoU.ashcan": 0.2969, "IoU.fan": 0.465, "IoU.pier": 0.5128, "IoU.crt screen": 0.0981, "IoU.plate": 0.4564, "IoU.monitor": 0.433, "IoU.bulletin board": 0.3439, "IoU.shower": 0.0036, "IoU.radiator": 0.4648, "IoU.glass": 0.0779, "IoU.clock": 0.3118, "IoU.flag": 0.2931, "Acc.wall": 0.8538, "Acc.building": 0.9057, "Acc.sky": 0.9665, "Acc.floor": 0.893, "Acc.tree": 0.8632, "Acc.ceiling": 0.9031, "Acc.road": 0.8831, "Acc.bed ": 0.9478, "Acc.windowpane": 0.7541, "Acc.grass": 0.827, "Acc.cabinet": 0.7218, "Acc.sidewalk": 0.7632, "Acc.person": 0.8896, "Acc.earth": 0.5042, "Acc.door": 0.5338, "Acc.table": 0.7153, "Acc.mountain": 0.7233, "Acc.plant": 0.6074, "Acc.curtain": 0.8149, "Acc.chair": 0.6704, "Acc.car": 0.9048, "Acc.water": 0.7956, "Acc.painting": 0.8541, "Acc.sofa": 0.7372, "Acc.shelf": 0.4659, "Acc.house": 0.7695, "Acc.sea": 0.6949, "Acc.mirror": 0.6908, "Acc.rug": 0.6851, "Acc.field": 0.4342, "Acc.armchair": 0.4282, "Acc.seat": 0.8088, "Acc.fence": 0.5931, "Acc.desk": 0.6322, "Acc.rock": 0.759, "Acc.wardrobe": 0.6354, "Acc.lamp": 0.6545, "Acc.bathtub": 0.8244, "Acc.railing": 0.4769, "Acc.cushion": 0.5785, "Acc.base": 0.477, "Acc.box": 0.2632, "Acc.column": 0.5303, "Acc.signboard": 0.4723, "Acc.chest of drawers": 0.5207, "Acc.counter": 0.3594, "Acc.sand": 0.5177, "Acc.sink": 0.7035, "Acc.skyscraper": 0.8972, "Acc.fireplace": NaN, "Acc.refrigerator": 0.761, "Acc.grandstand": 0.6168, "Acc.path": 0.3114, "Acc.stairs": 0.3089, "Acc.runway": 0.9586, "Acc.case": 0.4996, "Acc.pool table": 0.9465, "Acc.pillow": 0.6458, "Acc.screen door": 0.6222, "Acc.stairway": 0.3743, "Acc.river": 0.1157, "Acc.bridge": 0.744, "Acc.bookcase": 0.4648, "Acc.blind": NaN, "Acc.coffee table": 0.7311, "Acc.toilet": 0.859, "Acc.flower": 0.496, "Acc.book": 0.539, "Acc.hill": 0.185, "Acc.bench": 0.4619, "Acc.countertop": 0.7424, "Acc.stove": 0.6671, "Acc.palm": 0.6895, "Acc.kitchen island": 0.7665, "Acc.computer": 0.6835, "Acc.swivel chair": 0.5692, "Acc.boat": 0.5434, "Acc.bar": 0.5171, "Acc.arcade machine": 0.7487, "Acc.hovel": 0.3913, "Acc.bus": 0.904, "Acc.towel": 0.6859, "Acc.light": 0.4985, "Acc.truck": 0.3984, "Acc.tower": 0.5644, "Acc.chandelier": 0.7674, "Acc.awning": 0.3337, "Acc.streetlight": 0.2534, "Acc.booth": 0.5763, "Acc.television receiver": NaN, "Acc.airplane": 0.6164, "Acc.dirt track": 0.3456, "Acc.apparel": 0.449, "Acc.pole": 0.1418, "Acc.land": 0.0, "Acc.bannister": 0.1104, "Acc.escalator": 0.4441, "Acc.ottoman": 0.4498, "Acc.bottle": NaN, "Acc.buffet": 0.5183, "Acc.poster": 0.3173, "Acc.stage": 0.1902, "Acc.van": 0.471, "Acc.ship": 0.3573, "Acc.fountain": 0.2158, "Acc.conveyer belt": 0.9059, "Acc.canopy": 0.2186, "Acc.washer": 0.7746, "Acc.plaything": 0.1576, "Acc.swimming pool": 0.7573, "Acc.stool": 0.3943, "Acc.barrel": 0.6505, "Acc.basket": 0.2965, "Acc.waterfall": 0.4855, "Acc.tent": 0.9829, "Acc.bag": 0.1904, "Acc.minibike": 0.7719, "Acc.cradle": NaN, "Acc.oven": 0.351, "Acc.ball": 0.4742, "Acc.food": 0.6272, "Acc.step": 0.0517, "Acc.tank": 0.5829, "Acc.trade name": 0.1782, "Acc.microwave": 0.3641, "Acc.pot": 0.5217, "Acc.animal": NaN, "Acc.bicycle": 0.7626, "Acc.lake": 0.4542, "Acc.dishwasher": 0.5226, "Acc.screen": 0.8945, "Acc.blanket": 0.0575, "Acc.sculpture": 0.5423, "Acc.hood": 0.549, "Acc.sconce": 0.3432, "Acc.vase": 0.3855, "Acc.traffic light": 0.2925, "Acc.tray": 0.027, "Acc.ashcan": 0.3654, "Acc.fan": 0.6623, "Acc.pier": 0.795, "Acc.crt screen": 0.1066, "Acc.plate": 0.5579, "Acc.monitor": 0.7022, "Acc.bulletin board": 0.5768, "Acc.shower": 0.0354, "Acc.radiator": 0.5636, "Acc.glass": 0.0889, "Acc.clock": 0.3573, "Acc.flag": 0.3482} +{"mode": "train", "epoch": 51, "iter": 32050, "lr": 5e-05, "memory": 22018, "data_time": 1.78661, "decode.loss_seg": 0.3788, "decode.acc_seg": 69.11531, "aux.loss_seg": 0.26035, "aux.acc_seg": 62.057, "loss": 0.63915, "time": 2.18281} +{"mode": "train", "epoch": 51, "iter": 32100, "lr": 5e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.36756, "decode.acc_seg": 69.20156, "aux.loss_seg": 0.24636, "aux.acc_seg": 62.72851, "loss": 0.61392, "time": 0.40305} +{"mode": "train", "epoch": 51, "iter": 32150, "lr": 5e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.35556, "decode.acc_seg": 68.2796, "aux.loss_seg": 0.2368, "aux.acc_seg": 62.43313, "loss": 0.59235, "time": 0.40269} +{"mode": "train", "epoch": 52, "iter": 32200, "lr": 5e-05, "memory": 22018, "data_time": 0.18222, "decode.loss_seg": 0.35905, "decode.acc_seg": 69.33549, "aux.loss_seg": 0.24005, "aux.acc_seg": 63.17744, "loss": 0.5991, "time": 0.57667} +{"mode": "train", "epoch": 52, "iter": 32250, "lr": 5e-05, "memory": 22018, "data_time": 0.01031, "decode.loss_seg": 0.37137, "decode.acc_seg": 69.34077, "aux.loss_seg": 0.25248, "aux.acc_seg": 62.90359, "loss": 0.62385, "time": 0.40348} +{"mode": "train", "epoch": 52, "iter": 32300, "lr": 5e-05, "memory": 22018, "data_time": 0.01043, "decode.loss_seg": 0.35528, "decode.acc_seg": 70.50534, "aux.loss_seg": 0.24514, "aux.acc_seg": 63.85631, "loss": 0.60041, "time": 0.40345} +{"mode": "train", "epoch": 52, "iter": 32350, "lr": 5e-05, "memory": 22018, "data_time": 0.01048, "decode.loss_seg": 0.35063, "decode.acc_seg": 69.77944, "aux.loss_seg": 0.24047, "aux.acc_seg": 63.40511, "loss": 0.5911, "time": 0.4036} +{"mode": "train", "epoch": 52, "iter": 32400, "lr": 5e-05, "memory": 22018, "data_time": 0.01055, "decode.loss_seg": 0.36604, "decode.acc_seg": 69.57474, "aux.loss_seg": 0.25006, "aux.acc_seg": 62.80232, "loss": 0.61611, "time": 0.40372} +{"mode": "train", "epoch": 52, "iter": 32450, "lr": 5e-05, "memory": 22018, "data_time": 0.01065, "decode.loss_seg": 0.35359, "decode.acc_seg": 68.88191, "aux.loss_seg": 0.23767, "aux.acc_seg": 62.57785, "loss": 0.59125, "time": 0.40411} +{"mode": "train", "epoch": 52, "iter": 32500, "lr": 5e-05, "memory": 22018, "data_time": 0.01066, "decode.loss_seg": 0.36013, "decode.acc_seg": 70.12048, "aux.loss_seg": 0.24932, "aux.acc_seg": 63.36302, "loss": 0.60945, "time": 0.40384} +{"mode": "train", "epoch": 52, "iter": 32550, "lr": 5e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.37051, "decode.acc_seg": 69.02983, "aux.loss_seg": 0.25042, "aux.acc_seg": 62.71657, "loss": 0.62093, "time": 0.40351} +{"mode": "train", "epoch": 52, "iter": 32600, "lr": 5e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.36067, "decode.acc_seg": 68.89917, "aux.loss_seg": 0.24723, "aux.acc_seg": 62.19028, "loss": 0.6079, "time": 0.40297} +{"mode": "train", "epoch": 52, "iter": 32650, "lr": 5e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.36257, "decode.acc_seg": 69.00103, "aux.loss_seg": 0.24565, "aux.acc_seg": 62.68378, "loss": 0.60823, "time": 0.40351} +{"mode": "train", "epoch": 52, "iter": 32700, "lr": 5e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.3774, "decode.acc_seg": 69.09062, "aux.loss_seg": 0.25169, "aux.acc_seg": 62.73563, "loss": 0.62909, "time": 0.4021} +{"mode": "train", "epoch": 52, "iter": 32750, "lr": 5e-05, "memory": 22018, "data_time": 0.01059, "decode.loss_seg": 0.3603, "decode.acc_seg": 69.09954, "aux.loss_seg": 0.24251, "aux.acc_seg": 62.85097, "loss": 0.60281, "time": 0.40332} +{"mode": "train", "epoch": 52, "iter": 32800, "lr": 5e-05, "memory": 22018, "data_time": 0.01039, "decode.loss_seg": 0.37035, "decode.acc_seg": 69.32997, "aux.loss_seg": 0.24755, "aux.acc_seg": 62.66877, "loss": 0.6179, "time": 0.40375} +{"mode": "train", "epoch": 53, "iter": 32850, "lr": 5e-05, "memory": 22018, "data_time": 0.17066, "decode.loss_seg": 0.37029, "decode.acc_seg": 68.9973, "aux.loss_seg": 0.24504, "aux.acc_seg": 62.83556, "loss": 0.61533, "time": 0.56382} +{"mode": "train", "epoch": 53, "iter": 32900, "lr": 5e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.36127, "decode.acc_seg": 69.8469, "aux.loss_seg": 0.24795, "aux.acc_seg": 63.18522, "loss": 0.60921, "time": 0.40165} +{"mode": "train", "epoch": 53, "iter": 32950, "lr": 5e-05, "memory": 22018, "data_time": 0.00951, "decode.loss_seg": 0.35741, "decode.acc_seg": 70.22215, "aux.loss_seg": 0.24749, "aux.acc_seg": 63.43333, "loss": 0.6049, "time": 0.4016} +{"mode": "train", "epoch": 53, "iter": 33000, "lr": 5e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.35775, "decode.acc_seg": 69.04786, "aux.loss_seg": 0.23827, "aux.acc_seg": 63.11953, "loss": 0.59602, "time": 0.40124} +{"mode": "train", "epoch": 53, "iter": 33050, "lr": 5e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.35436, "decode.acc_seg": 70.2979, "aux.loss_seg": 0.24896, "aux.acc_seg": 63.26586, "loss": 0.60332, "time": 0.40084} +{"mode": "train", "epoch": 53, "iter": 33100, "lr": 5e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.34438, "decode.acc_seg": 70.01888, "aux.loss_seg": 0.24114, "aux.acc_seg": 63.45704, "loss": 0.58552, "time": 0.40109} +{"mode": "train", "epoch": 53, "iter": 33150, "lr": 5e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.35321, "decode.acc_seg": 69.52607, "aux.loss_seg": 0.24225, "aux.acc_seg": 63.078, "loss": 0.59547, "time": 0.4009} +{"mode": "train", "epoch": 53, "iter": 33200, "lr": 5e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.33486, "decode.acc_seg": 69.4043, "aux.loss_seg": 0.22814, "aux.acc_seg": 63.29909, "loss": 0.563, "time": 0.40173} +{"mode": "train", "epoch": 53, "iter": 33250, "lr": 5e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.35512, "decode.acc_seg": 69.37394, "aux.loss_seg": 0.24537, "aux.acc_seg": 62.9818, "loss": 0.60049, "time": 0.40167} +{"mode": "train", "epoch": 53, "iter": 33300, "lr": 5e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.35438, "decode.acc_seg": 69.20657, "aux.loss_seg": 0.23926, "aux.acc_seg": 63.05345, "loss": 0.59363, "time": 0.40173} +{"mode": "train", "epoch": 53, "iter": 33350, "lr": 5e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.35013, "decode.acc_seg": 69.26796, "aux.loss_seg": 0.23768, "aux.acc_seg": 63.04308, "loss": 0.58781, "time": 0.40128} +{"mode": "train", "epoch": 53, "iter": 33400, "lr": 5e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.3572, "decode.acc_seg": 69.74497, "aux.loss_seg": 0.24478, "aux.acc_seg": 63.15597, "loss": 0.60197, "time": 0.40149} +{"mode": "train", "epoch": 54, "iter": 33450, "lr": 5e-05, "memory": 22018, "data_time": 0.17804, "decode.loss_seg": 0.37028, "decode.acc_seg": 70.25378, "aux.loss_seg": 0.25478, "aux.acc_seg": 63.30232, "loss": 0.62506, "time": 0.57159} +{"mode": "train", "epoch": 54, "iter": 33500, "lr": 5e-05, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.36256, "decode.acc_seg": 69.24292, "aux.loss_seg": 0.25765, "aux.acc_seg": 62.07811, "loss": 0.62021, "time": 0.4018} +{"mode": "train", "epoch": 54, "iter": 33550, "lr": 5e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.34919, "decode.acc_seg": 68.74418, "aux.loss_seg": 0.23756, "aux.acc_seg": 62.34583, "loss": 0.58674, "time": 0.40193} +{"mode": "train", "epoch": 54, "iter": 33600, "lr": 5e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.3512, "decode.acc_seg": 69.74139, "aux.loss_seg": 0.24565, "aux.acc_seg": 63.05839, "loss": 0.59686, "time": 0.40194} +{"mode": "train", "epoch": 54, "iter": 33650, "lr": 5e-05, "memory": 22018, "data_time": 0.01011, "decode.loss_seg": 0.3542, "decode.acc_seg": 70.28535, "aux.loss_seg": 0.24368, "aux.acc_seg": 63.71429, "loss": 0.59787, "time": 0.40182} +{"mode": "train", "epoch": 54, "iter": 33700, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.36657, "decode.acc_seg": 68.85735, "aux.loss_seg": 0.23968, "aux.acc_seg": 63.11966, "loss": 0.60626, "time": 0.40197} +{"mode": "train", "epoch": 54, "iter": 33750, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.34815, "decode.acc_seg": 69.47061, "aux.loss_seg": 0.24238, "aux.acc_seg": 62.83999, "loss": 0.59053, "time": 0.40238} +{"mode": "train", "epoch": 54, "iter": 33800, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.34311, "decode.acc_seg": 70.63885, "aux.loss_seg": 0.23058, "aux.acc_seg": 64.75921, "loss": 0.5737, "time": 0.40179} +{"mode": "train", "epoch": 54, "iter": 33850, "lr": 5e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.36317, "decode.acc_seg": 69.98955, "aux.loss_seg": 0.24924, "aux.acc_seg": 63.22242, "loss": 0.6124, "time": 0.40247} +{"mode": "train", "epoch": 54, "iter": 33900, "lr": 5e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.35034, "decode.acc_seg": 69.4053, "aux.loss_seg": 0.23898, "aux.acc_seg": 62.88607, "loss": 0.58932, "time": 0.40288} +{"mode": "train", "epoch": 54, "iter": 33950, "lr": 5e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.34785, "decode.acc_seg": 70.0841, "aux.loss_seg": 0.24313, "aux.acc_seg": 63.17716, "loss": 0.59098, "time": 0.40191} +{"mode": "train", "epoch": 54, "iter": 34000, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.34895, "decode.acc_seg": 69.41773, "aux.loss_seg": 0.23175, "aux.acc_seg": 63.6193, "loss": 0.5807, "time": 0.40277} +{"mode": "train", "epoch": 54, "iter": 34050, "lr": 5e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.34936, "decode.acc_seg": 70.78976, "aux.loss_seg": 0.24037, "aux.acc_seg": 64.33579, "loss": 0.58973, "time": 0.40229} +{"mode": "train", "epoch": 55, "iter": 34100, "lr": 5e-05, "memory": 22018, "data_time": 0.16404, "decode.loss_seg": 0.35136, "decode.acc_seg": 68.16422, "aux.loss_seg": 0.23509, "aux.acc_seg": 62.01516, "loss": 0.58645, "time": 0.55868} +{"mode": "train", "epoch": 55, "iter": 34150, "lr": 5e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.35402, "decode.acc_seg": 70.04204, "aux.loss_seg": 0.24214, "aux.acc_seg": 63.81602, "loss": 0.59616, "time": 0.40311} +{"mode": "train", "epoch": 55, "iter": 34200, "lr": 5e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.35433, "decode.acc_seg": 69.48983, "aux.loss_seg": 0.2412, "aux.acc_seg": 63.09441, "loss": 0.59553, "time": 0.40346} +{"mode": "train", "epoch": 55, "iter": 34250, "lr": 5e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.34533, "decode.acc_seg": 69.79937, "aux.loss_seg": 0.23777, "aux.acc_seg": 63.39356, "loss": 0.58309, "time": 0.40331} +{"mode": "train", "epoch": 55, "iter": 34300, "lr": 5e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.35237, "decode.acc_seg": 70.19066, "aux.loss_seg": 0.24455, "aux.acc_seg": 63.32068, "loss": 0.59692, "time": 0.40295} +{"mode": "train", "epoch": 55, "iter": 34350, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.33869, "decode.acc_seg": 69.39563, "aux.loss_seg": 0.22777, "aux.acc_seg": 63.3985, "loss": 0.56646, "time": 0.40273} +{"mode": "train", "epoch": 55, "iter": 34400, "lr": 5e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.349, "decode.acc_seg": 69.7606, "aux.loss_seg": 0.24101, "aux.acc_seg": 63.27645, "loss": 0.59, "time": 0.40289} +{"mode": "train", "epoch": 55, "iter": 34450, "lr": 5e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.35083, "decode.acc_seg": 70.51504, "aux.loss_seg": 0.24403, "aux.acc_seg": 63.7701, "loss": 0.59485, "time": 0.40298} +{"mode": "train", "epoch": 55, "iter": 34500, "lr": 5e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.36609, "decode.acc_seg": 69.18948, "aux.loss_seg": 0.24555, "aux.acc_seg": 62.69812, "loss": 0.61164, "time": 0.4028} +{"mode": "train", "epoch": 55, "iter": 34550, "lr": 5e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.35449, "decode.acc_seg": 69.10873, "aux.loss_seg": 0.24043, "aux.acc_seg": 62.74906, "loss": 0.59492, "time": 0.40285} +{"mode": "train", "epoch": 55, "iter": 34600, "lr": 5e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.34763, "decode.acc_seg": 68.81761, "aux.loss_seg": 0.23845, "aux.acc_seg": 62.32142, "loss": 0.58608, "time": 0.40372} +{"mode": "train", "epoch": 55, "iter": 34650, "lr": 5e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.35419, "decode.acc_seg": 70.37864, "aux.loss_seg": 0.23891, "aux.acc_seg": 64.26142, "loss": 0.5931, "time": 0.40237} +{"mode": "train", "epoch": 55, "iter": 34700, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.3521, "decode.acc_seg": 69.88167, "aux.loss_seg": 0.24358, "aux.acc_seg": 63.36251, "loss": 0.59568, "time": 0.40283} +{"mode": "train", "epoch": 56, "iter": 34750, "lr": 5e-05, "memory": 22018, "data_time": 0.16396, "decode.loss_seg": 0.33726, "decode.acc_seg": 70.05897, "aux.loss_seg": 0.23426, "aux.acc_seg": 63.53219, "loss": 0.57152, "time": 0.55892} +{"mode": "train", "epoch": 56, "iter": 34800, "lr": 5e-05, "memory": 22018, "data_time": 0.00681, "decode.loss_seg": 0.33896, "decode.acc_seg": 71.03244, "aux.loss_seg": 0.2416, "aux.acc_seg": 64.16055, "loss": 0.58057, "time": 0.40037} +{"mode": "train", "epoch": 56, "iter": 34850, "lr": 5e-05, "memory": 22018, "data_time": 0.00606, "decode.loss_seg": 0.33015, "decode.acc_seg": 70.1088, "aux.loss_seg": 0.22918, "aux.acc_seg": 63.72515, "loss": 0.55933, "time": 0.40074} +{"mode": "train", "epoch": 56, "iter": 34900, "lr": 5e-05, "memory": 22018, "data_time": 0.00695, "decode.loss_seg": 0.33442, "decode.acc_seg": 68.82808, "aux.loss_seg": 0.23366, "aux.acc_seg": 62.36783, "loss": 0.56808, "time": 0.40086} +{"mode": "train", "epoch": 56, "iter": 34950, "lr": 5e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.33736, "decode.acc_seg": 69.92866, "aux.loss_seg": 0.2394, "aux.acc_seg": 63.08096, "loss": 0.57676, "time": 0.39993} +{"mode": "train", "epoch": 56, "iter": 35000, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.36106, "decode.acc_seg": 68.90637, "aux.loss_seg": 0.24138, "aux.acc_seg": 63.06185, "loss": 0.60244, "time": 0.40066} +{"mode": "train", "epoch": 56, "iter": 35050, "lr": 5e-05, "memory": 22018, "data_time": 0.00685, "decode.loss_seg": 0.35601, "decode.acc_seg": 70.09074, "aux.loss_seg": 0.24701, "aux.acc_seg": 63.30327, "loss": 0.60301, "time": 0.40043} +{"mode": "train", "epoch": 56, "iter": 35100, "lr": 5e-05, "memory": 22018, "data_time": 0.00677, "decode.loss_seg": 0.35097, "decode.acc_seg": 69.6854, "aux.loss_seg": 0.24045, "aux.acc_seg": 63.15963, "loss": 0.59142, "time": 0.40161} +{"mode": "train", "epoch": 56, "iter": 35150, "lr": 5e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.35922, "decode.acc_seg": 69.44579, "aux.loss_seg": 0.24467, "aux.acc_seg": 62.96102, "loss": 0.60389, "time": 0.40132} +{"mode": "train", "epoch": 56, "iter": 35200, "lr": 5e-05, "memory": 22018, "data_time": 0.00677, "decode.loss_seg": 0.34745, "decode.acc_seg": 69.41966, "aux.loss_seg": 0.23502, "aux.acc_seg": 63.30462, "loss": 0.58248, "time": 0.40122} +{"mode": "train", "epoch": 56, "iter": 35250, "lr": 5e-05, "memory": 22018, "data_time": 0.00629, "decode.loss_seg": 0.34239, "decode.acc_seg": 70.0953, "aux.loss_seg": 0.23451, "aux.acc_seg": 63.66228, "loss": 0.5769, "time": 0.39998} +{"mode": "train", "epoch": 56, "iter": 35300, "lr": 5e-05, "memory": 22018, "data_time": 0.0064, "decode.loss_seg": 0.34948, "decode.acc_seg": 70.58918, "aux.loss_seg": 0.24211, "aux.acc_seg": 64.05586, "loss": 0.59159, "time": 0.39983} +{"mode": "train", "epoch": 57, "iter": 35350, "lr": 5e-05, "memory": 22018, "data_time": 0.17335, "decode.loss_seg": 0.35915, "decode.acc_seg": 69.25431, "aux.loss_seg": 0.24154, "aux.acc_seg": 63.09085, "loss": 0.60069, "time": 0.56703} +{"mode": "train", "epoch": 57, "iter": 35400, "lr": 5e-05, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.34313, "decode.acc_seg": 69.8344, "aux.loss_seg": 0.23753, "aux.acc_seg": 63.17525, "loss": 0.58066, "time": 0.40176} +{"mode": "train", "epoch": 57, "iter": 35450, "lr": 5e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.33364, "decode.acc_seg": 70.37877, "aux.loss_seg": 0.23411, "aux.acc_seg": 64.04104, "loss": 0.56775, "time": 0.40085} +{"mode": "train", "epoch": 57, "iter": 35500, "lr": 5e-05, "memory": 22018, "data_time": 0.00758, "decode.loss_seg": 0.34838, "decode.acc_seg": 70.11395, "aux.loss_seg": 0.24958, "aux.acc_seg": 63.14174, "loss": 0.59796, "time": 0.40003} +{"mode": "train", "epoch": 57, "iter": 35550, "lr": 5e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.34662, "decode.acc_seg": 69.58456, "aux.loss_seg": 0.23487, "aux.acc_seg": 63.47329, "loss": 0.58149, "time": 0.40022} +{"mode": "train", "epoch": 57, "iter": 35600, "lr": 5e-05, "memory": 22018, "data_time": 0.00704, "decode.loss_seg": 0.34135, "decode.acc_seg": 70.54642, "aux.loss_seg": 0.23519, "aux.acc_seg": 64.16537, "loss": 0.57654, "time": 0.40149} +{"mode": "train", "epoch": 57, "iter": 35650, "lr": 5e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.3555, "decode.acc_seg": 69.25607, "aux.loss_seg": 0.24565, "aux.acc_seg": 62.63483, "loss": 0.60116, "time": 0.40085} +{"mode": "train", "epoch": 57, "iter": 35700, "lr": 5e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.34028, "decode.acc_seg": 69.58496, "aux.loss_seg": 0.23557, "aux.acc_seg": 62.94167, "loss": 0.57585, "time": 0.40008} +{"mode": "train", "epoch": 57, "iter": 35750, "lr": 5e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.34132, "decode.acc_seg": 70.05781, "aux.loss_seg": 0.23342, "aux.acc_seg": 63.8079, "loss": 0.57474, "time": 0.40072} +{"mode": "train", "epoch": 57, "iter": 35800, "lr": 5e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.34047, "decode.acc_seg": 69.58047, "aux.loss_seg": 0.23665, "aux.acc_seg": 62.97946, "loss": 0.57713, "time": 0.40064} +{"mode": "train", "epoch": 57, "iter": 35850, "lr": 5e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.33489, "decode.acc_seg": 69.06576, "aux.loss_seg": 0.23513, "aux.acc_seg": 62.49381, "loss": 0.57002, "time": 0.40172} +{"mode": "train", "epoch": 57, "iter": 35900, "lr": 5e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.36215, "decode.acc_seg": 69.58594, "aux.loss_seg": 0.2434, "aux.acc_seg": 63.10869, "loss": 0.60556, "time": 0.40142} +{"mode": "train", "epoch": 57, "iter": 35950, "lr": 5e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.35366, "decode.acc_seg": 69.59805, "aux.loss_seg": 0.24253, "aux.acc_seg": 63.10445, "loss": 0.59619, "time": 0.4013} +{"mode": "train", "epoch": 58, "iter": 36000, "lr": 5e-05, "memory": 22018, "data_time": 0.18029, "decode.loss_seg": 0.35278, "decode.acc_seg": 70.33235, "aux.loss_seg": 0.24115, "aux.acc_seg": 63.91179, "loss": 0.59393, "time": 0.57342} +{"mode": "train", "epoch": 58, "iter": 36050, "lr": 5e-05, "memory": 22018, "data_time": 0.0097, "decode.loss_seg": 0.33677, "decode.acc_seg": 69.61387, "aux.loss_seg": 0.23378, "aux.acc_seg": 63.2434, "loss": 0.57056, "time": 0.40148} +{"mode": "train", "epoch": 58, "iter": 36100, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.34128, "decode.acc_seg": 70.08695, "aux.loss_seg": 0.23966, "aux.acc_seg": 63.5021, "loss": 0.58095, "time": 0.40128} +{"mode": "train", "epoch": 58, "iter": 36150, "lr": 5e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.33937, "decode.acc_seg": 70.95716, "aux.loss_seg": 0.23897, "aux.acc_seg": 64.31463, "loss": 0.57834, "time": 0.40191} +{"mode": "train", "epoch": 58, "iter": 36200, "lr": 5e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.35132, "decode.acc_seg": 69.97474, "aux.loss_seg": 0.23904, "aux.acc_seg": 63.72159, "loss": 0.59037, "time": 0.40163} +{"mode": "train", "epoch": 58, "iter": 36250, "lr": 5e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.34667, "decode.acc_seg": 70.29618, "aux.loss_seg": 0.24364, "aux.acc_seg": 63.65963, "loss": 0.59031, "time": 0.40332} +{"mode": "train", "epoch": 58, "iter": 36300, "lr": 5e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.336, "decode.acc_seg": 69.80282, "aux.loss_seg": 0.23415, "aux.acc_seg": 63.31625, "loss": 0.57015, "time": 0.40166} +{"mode": "train", "epoch": 58, "iter": 36350, "lr": 5e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.33674, "decode.acc_seg": 70.42776, "aux.loss_seg": 0.23625, "aux.acc_seg": 63.70801, "loss": 0.573, "time": 0.40288} +{"mode": "train", "epoch": 58, "iter": 36400, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.33457, "decode.acc_seg": 70.46331, "aux.loss_seg": 0.23503, "aux.acc_seg": 63.93167, "loss": 0.5696, "time": 0.40191} +{"mode": "train", "epoch": 58, "iter": 36450, "lr": 5e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.33807, "decode.acc_seg": 69.78877, "aux.loss_seg": 0.23903, "aux.acc_seg": 63.08813, "loss": 0.57711, "time": 0.40243} +{"mode": "train", "epoch": 58, "iter": 36500, "lr": 5e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.33908, "decode.acc_seg": 69.91698, "aux.loss_seg": 0.23777, "aux.acc_seg": 63.29181, "loss": 0.57684, "time": 0.40168} +{"mode": "train", "epoch": 58, "iter": 36550, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.33756, "decode.acc_seg": 68.68973, "aux.loss_seg": 0.22981, "aux.acc_seg": 62.57256, "loss": 0.56737, "time": 0.40246} +{"mode": "train", "epoch": 59, "iter": 36600, "lr": 5e-05, "memory": 22018, "data_time": 0.16648, "decode.loss_seg": 0.35049, "decode.acc_seg": 68.67909, "aux.loss_seg": 0.24129, "aux.acc_seg": 62.29941, "loss": 0.59178, "time": 0.5595} +{"mode": "train", "epoch": 59, "iter": 36650, "lr": 5e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.34877, "decode.acc_seg": 69.85577, "aux.loss_seg": 0.2421, "aux.acc_seg": 63.32004, "loss": 0.59086, "time": 0.40171} +{"mode": "train", "epoch": 59, "iter": 36700, "lr": 5e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.33045, "decode.acc_seg": 70.26412, "aux.loss_seg": 0.22595, "aux.acc_seg": 64.03419, "loss": 0.5564, "time": 0.40186} +{"mode": "train", "epoch": 59, "iter": 36750, "lr": 5e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.34253, "decode.acc_seg": 70.0876, "aux.loss_seg": 0.24031, "aux.acc_seg": 63.49732, "loss": 0.58284, "time": 0.40145} +{"mode": "train", "epoch": 59, "iter": 36800, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.34312, "decode.acc_seg": 69.5993, "aux.loss_seg": 0.23872, "aux.acc_seg": 62.94199, "loss": 0.58184, "time": 0.40198} +{"mode": "train", "epoch": 59, "iter": 36850, "lr": 5e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.34255, "decode.acc_seg": 70.36242, "aux.loss_seg": 0.2357, "aux.acc_seg": 64.11427, "loss": 0.57825, "time": 0.40133} +{"mode": "train", "epoch": 59, "iter": 36900, "lr": 5e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.33933, "decode.acc_seg": 69.3939, "aux.loss_seg": 0.23079, "aux.acc_seg": 63.12914, "loss": 0.57012, "time": 0.40226} +{"mode": "train", "epoch": 59, "iter": 36950, "lr": 5e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.33505, "decode.acc_seg": 70.59842, "aux.loss_seg": 0.23653, "aux.acc_seg": 63.88889, "loss": 0.57158, "time": 0.40232} +{"mode": "train", "epoch": 59, "iter": 37000, "lr": 5e-05, "memory": 22018, "data_time": 0.0104, "decode.loss_seg": 0.33587, "decode.acc_seg": 70.29703, "aux.loss_seg": 0.23312, "aux.acc_seg": 63.74982, "loss": 0.569, "time": 0.40198} +{"mode": "train", "epoch": 59, "iter": 37050, "lr": 5e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.33545, "decode.acc_seg": 70.62461, "aux.loss_seg": 0.23362, "aux.acc_seg": 64.27295, "loss": 0.56908, "time": 0.4027} +{"mode": "train", "epoch": 59, "iter": 37100, "lr": 5e-05, "memory": 22018, "data_time": 0.01012, "decode.loss_seg": 0.33754, "decode.acc_seg": 69.42699, "aux.loss_seg": 0.23424, "aux.acc_seg": 62.97867, "loss": 0.57178, "time": 0.40236} +{"mode": "train", "epoch": 59, "iter": 37150, "lr": 5e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.33943, "decode.acc_seg": 70.26291, "aux.loss_seg": 0.23486, "aux.acc_seg": 64.1287, "loss": 0.57428, "time": 0.40292} +{"mode": "train", "epoch": 59, "iter": 37200, "lr": 5e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.35305, "decode.acc_seg": 69.38055, "aux.loss_seg": 0.23992, "aux.acc_seg": 63.01032, "loss": 0.59297, "time": 0.40292} +{"mode": "train", "epoch": 60, "iter": 37250, "lr": 5e-05, "memory": 22018, "data_time": 0.17614, "decode.loss_seg": 0.32545, "decode.acc_seg": 70.73787, "aux.loss_seg": 0.22961, "aux.acc_seg": 64.49821, "loss": 0.55506, "time": 0.5687} +{"mode": "train", "epoch": 60, "iter": 37300, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.31487, "decode.acc_seg": 70.34217, "aux.loss_seg": 0.21712, "aux.acc_seg": 64.47253, "loss": 0.53199, "time": 0.39984} +{"mode": "train", "epoch": 60, "iter": 37350, "lr": 5e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.33694, "decode.acc_seg": 69.92943, "aux.loss_seg": 0.24104, "aux.acc_seg": 62.94457, "loss": 0.57797, "time": 0.40282} +{"mode": "train", "epoch": 60, "iter": 37400, "lr": 5e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.33779, "decode.acc_seg": 69.01573, "aux.loss_seg": 0.23361, "aux.acc_seg": 62.97835, "loss": 0.5714, "time": 0.40063} +{"mode": "train", "epoch": 60, "iter": 37450, "lr": 5e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.33713, "decode.acc_seg": 70.82539, "aux.loss_seg": 0.24335, "aux.acc_seg": 63.69405, "loss": 0.58048, "time": 0.40226} +{"mode": "train", "epoch": 60, "iter": 37500, "lr": 5e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.35002, "decode.acc_seg": 69.22722, "aux.loss_seg": 0.24272, "aux.acc_seg": 62.63018, "loss": 0.59274, "time": 0.40359} +{"mode": "train", "epoch": 60, "iter": 37550, "lr": 5e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.34234, "decode.acc_seg": 70.02578, "aux.loss_seg": 0.24973, "aux.acc_seg": 63.03993, "loss": 0.59207, "time": 0.40149} +{"mode": "train", "epoch": 60, "iter": 37600, "lr": 5e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.33878, "decode.acc_seg": 69.73925, "aux.loss_seg": 0.22948, "aux.acc_seg": 63.9242, "loss": 0.56826, "time": 0.40233} +{"mode": "train", "epoch": 60, "iter": 37650, "lr": 5e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.33187, "decode.acc_seg": 71.92619, "aux.loss_seg": 0.23138, "aux.acc_seg": 65.72114, "loss": 0.56325, "time": 0.40226} +{"mode": "train", "epoch": 60, "iter": 37700, "lr": 5e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.35129, "decode.acc_seg": 70.91362, "aux.loss_seg": 0.2342, "aux.acc_seg": 64.94815, "loss": 0.58549, "time": 0.40099} +{"mode": "train", "epoch": 60, "iter": 37750, "lr": 5e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.3364, "decode.acc_seg": 69.32436, "aux.loss_seg": 0.2305, "aux.acc_seg": 63.16425, "loss": 0.5669, "time": 0.40095} +{"mode": "train", "epoch": 60, "iter": 37800, "lr": 5e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.34858, "decode.acc_seg": 69.07667, "aux.loss_seg": 0.23577, "aux.acc_seg": 63.03852, "loss": 0.58435, "time": 0.40199} +{"mode": "train", "epoch": 60, "iter": 37850, "lr": 5e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.33731, "decode.acc_seg": 70.44102, "aux.loss_seg": 0.23278, "aux.acc_seg": 64.11164, "loss": 0.57009, "time": 0.40066} +{"mode": "train", "epoch": 61, "iter": 37900, "lr": 5e-05, "memory": 22018, "data_time": 0.17485, "decode.loss_seg": 0.33085, "decode.acc_seg": 71.29487, "aux.loss_seg": 0.23568, "aux.acc_seg": 64.8092, "loss": 0.56653, "time": 0.57053} +{"mode": "train", "epoch": 61, "iter": 37950, "lr": 5e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.33607, "decode.acc_seg": 69.79838, "aux.loss_seg": 0.23122, "aux.acc_seg": 63.68266, "loss": 0.56729, "time": 0.40291} +{"mode": "train", "epoch": 61, "iter": 38000, "lr": 5e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.34377, "decode.acc_seg": 69.03157, "aux.loss_seg": 0.23754, "aux.acc_seg": 62.63786, "loss": 0.58132, "time": 0.40302} +{"mode": "train", "epoch": 61, "iter": 38050, "lr": 5e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.34144, "decode.acc_seg": 71.42195, "aux.loss_seg": 0.24061, "aux.acc_seg": 64.44486, "loss": 0.58205, "time": 0.40163} +{"mode": "train", "epoch": 61, "iter": 38100, "lr": 5e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.31829, "decode.acc_seg": 69.73325, "aux.loss_seg": 0.2209, "aux.acc_seg": 63.65154, "loss": 0.53919, "time": 0.40165} +{"mode": "train", "epoch": 61, "iter": 38150, "lr": 5e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.34119, "decode.acc_seg": 69.82263, "aux.loss_seg": 0.23326, "aux.acc_seg": 63.43134, "loss": 0.57445, "time": 0.40198} +{"mode": "train", "epoch": 61, "iter": 38200, "lr": 5e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.31845, "decode.acc_seg": 69.76598, "aux.loss_seg": 0.22832, "aux.acc_seg": 63.20966, "loss": 0.54677, "time": 0.40305} +{"mode": "train", "epoch": 61, "iter": 38250, "lr": 5e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.32249, "decode.acc_seg": 70.93022, "aux.loss_seg": 0.22752, "aux.acc_seg": 64.6133, "loss": 0.55, "time": 0.40256} +{"mode": "train", "epoch": 61, "iter": 38300, "lr": 5e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.34, "decode.acc_seg": 70.03411, "aux.loss_seg": 0.23259, "aux.acc_seg": 63.80558, "loss": 0.5726, "time": 0.40133} +{"mode": "train", "epoch": 61, "iter": 38350, "lr": 5e-05, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.32807, "decode.acc_seg": 70.53715, "aux.loss_seg": 0.23246, "aux.acc_seg": 64.14482, "loss": 0.56053, "time": 0.40145} +{"mode": "train", "epoch": 61, "iter": 38400, "lr": 5e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.33353, "decode.acc_seg": 69.67517, "aux.loss_seg": 0.23165, "aux.acc_seg": 63.4157, "loss": 0.56518, "time": 0.40342} +{"mode": "train", "epoch": 61, "iter": 38450, "lr": 5e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.3422, "decode.acc_seg": 69.76753, "aux.loss_seg": 0.23906, "aux.acc_seg": 63.32892, "loss": 0.58126, "time": 0.40249} +{"mode": "train", "epoch": 62, "iter": 38500, "lr": 5e-05, "memory": 22018, "data_time": 0.17298, "decode.loss_seg": 0.32933, "decode.acc_seg": 69.20369, "aux.loss_seg": 0.22839, "aux.acc_seg": 62.75568, "loss": 0.55771, "time": 0.56737} +{"mode": "train", "epoch": 62, "iter": 38550, "lr": 5e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.31913, "decode.acc_seg": 70.28898, "aux.loss_seg": 0.22428, "aux.acc_seg": 63.96703, "loss": 0.54341, "time": 0.40165} +{"mode": "train", "epoch": 62, "iter": 38600, "lr": 5e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.34026, "decode.acc_seg": 70.91034, "aux.loss_seg": 0.24016, "aux.acc_seg": 64.1783, "loss": 0.58042, "time": 0.40104} +{"mode": "train", "epoch": 62, "iter": 38650, "lr": 5e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.33188, "decode.acc_seg": 71.44181, "aux.loss_seg": 0.23092, "aux.acc_seg": 65.22899, "loss": 0.56281, "time": 0.40046} +{"mode": "train", "epoch": 62, "iter": 38700, "lr": 5e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.33074, "decode.acc_seg": 71.65791, "aux.loss_seg": 0.22565, "aux.acc_seg": 65.52712, "loss": 0.55639, "time": 0.40082} +{"mode": "train", "epoch": 62, "iter": 38750, "lr": 5e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.33873, "decode.acc_seg": 70.80754, "aux.loss_seg": 0.23718, "aux.acc_seg": 63.97189, "loss": 0.5759, "time": 0.40145} +{"mode": "train", "epoch": 62, "iter": 38800, "lr": 5e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.34159, "decode.acc_seg": 70.20376, "aux.loss_seg": 0.24371, "aux.acc_seg": 63.51462, "loss": 0.5853, "time": 0.40214} +{"mode": "train", "epoch": 62, "iter": 38850, "lr": 5e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.3308, "decode.acc_seg": 69.42851, "aux.loss_seg": 0.23269, "aux.acc_seg": 62.93709, "loss": 0.56349, "time": 0.40102} +{"mode": "train", "epoch": 62, "iter": 38900, "lr": 5e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.33131, "decode.acc_seg": 71.2313, "aux.loss_seg": 0.22956, "aux.acc_seg": 65.01814, "loss": 0.56086, "time": 0.40126} +{"mode": "train", "epoch": 62, "iter": 38950, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.3268, "decode.acc_seg": 70.18353, "aux.loss_seg": 0.22603, "aux.acc_seg": 64.07104, "loss": 0.55283, "time": 0.40121} +{"mode": "train", "epoch": 62, "iter": 39000, "lr": 5e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.33913, "decode.acc_seg": 69.95386, "aux.loss_seg": 0.23598, "aux.acc_seg": 63.30641, "loss": 0.57511, "time": 0.4014} +{"mode": "train", "epoch": 62, "iter": 39050, "lr": 5e-05, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.33205, "decode.acc_seg": 70.24199, "aux.loss_seg": 0.22911, "aux.acc_seg": 64.10104, "loss": 0.56116, "time": 0.40141} +{"mode": "train", "epoch": 62, "iter": 39100, "lr": 5e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.33453, "decode.acc_seg": 69.15668, "aux.loss_seg": 0.23532, "aux.acc_seg": 62.69791, "loss": 0.56985, "time": 0.40111} +{"mode": "train", "epoch": 63, "iter": 39150, "lr": 5e-05, "memory": 22018, "data_time": 0.17479, "decode.loss_seg": 0.3265, "decode.acc_seg": 71.95685, "aux.loss_seg": 0.22462, "aux.acc_seg": 65.96351, "loss": 0.55113, "time": 0.56838} +{"mode": "train", "epoch": 63, "iter": 39200, "lr": 5e-05, "memory": 22018, "data_time": 0.00685, "decode.loss_seg": 0.33313, "decode.acc_seg": 69.99934, "aux.loss_seg": 0.23123, "aux.acc_seg": 63.6263, "loss": 0.56436, "time": 0.40118} +{"mode": "train", "epoch": 63, "iter": 39250, "lr": 5e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.32189, "decode.acc_seg": 71.43821, "aux.loss_seg": 0.22663, "aux.acc_seg": 65.18307, "loss": 0.54852, "time": 0.4011} +{"mode": "train", "epoch": 63, "iter": 39300, "lr": 5e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.32545, "decode.acc_seg": 70.0372, "aux.loss_seg": 0.23108, "aux.acc_seg": 63.53543, "loss": 0.55654, "time": 0.4015} +{"mode": "train", "epoch": 63, "iter": 39350, "lr": 5e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.33884, "decode.acc_seg": 70.51295, "aux.loss_seg": 0.23988, "aux.acc_seg": 63.63238, "loss": 0.57871, "time": 0.40198} +{"mode": "train", "epoch": 63, "iter": 39400, "lr": 5e-05, "memory": 22018, "data_time": 0.00673, "decode.loss_seg": 0.33592, "decode.acc_seg": 70.56034, "aux.loss_seg": 0.23261, "aux.acc_seg": 64.26057, "loss": 0.56853, "time": 0.40117} +{"mode": "train", "epoch": 63, "iter": 39450, "lr": 5e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.33127, "decode.acc_seg": 70.60562, "aux.loss_seg": 0.22773, "aux.acc_seg": 64.34089, "loss": 0.559, "time": 0.40098} +{"mode": "train", "epoch": 63, "iter": 39500, "lr": 5e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.33268, "decode.acc_seg": 69.96261, "aux.loss_seg": 0.23002, "aux.acc_seg": 63.98945, "loss": 0.5627, "time": 0.40147} +{"mode": "train", "epoch": 63, "iter": 39550, "lr": 5e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.32211, "decode.acc_seg": 70.63695, "aux.loss_seg": 0.22888, "aux.acc_seg": 64.12343, "loss": 0.551, "time": 0.40095} +{"mode": "train", "epoch": 63, "iter": 39600, "lr": 5e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.33411, "decode.acc_seg": 69.38079, "aux.loss_seg": 0.23106, "aux.acc_seg": 62.87772, "loss": 0.56517, "time": 0.40124} +{"mode": "train", "epoch": 63, "iter": 39650, "lr": 5e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.3468, "decode.acc_seg": 70.39227, "aux.loss_seg": 0.24249, "aux.acc_seg": 63.5742, "loss": 0.58929, "time": 0.40045} +{"mode": "train", "epoch": 63, "iter": 39700, "lr": 5e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.32495, "decode.acc_seg": 69.993, "aux.loss_seg": 0.22725, "aux.acc_seg": 63.55467, "loss": 0.5522, "time": 0.40065} +{"mode": "train", "epoch": 63, "iter": 39750, "lr": 5e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.34416, "decode.acc_seg": 69.82929, "aux.loss_seg": 0.23734, "aux.acc_seg": 63.2561, "loss": 0.5815, "time": 0.4011} +{"mode": "train", "epoch": 64, "iter": 39800, "lr": 5e-05, "memory": 22018, "data_time": 0.16896, "decode.loss_seg": 0.33851, "decode.acc_seg": 70.46153, "aux.loss_seg": 0.23422, "aux.acc_seg": 63.85176, "loss": 0.57273, "time": 0.56245} +{"mode": "train", "epoch": 64, "iter": 39850, "lr": 5e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.32409, "decode.acc_seg": 70.30266, "aux.loss_seg": 0.22704, "aux.acc_seg": 64.03597, "loss": 0.55113, "time": 0.40142} +{"mode": "train", "epoch": 64, "iter": 39900, "lr": 5e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.32863, "decode.acc_seg": 69.6254, "aux.loss_seg": 0.22269, "aux.acc_seg": 63.66359, "loss": 0.55132, "time": 0.40098} +{"mode": "train", "epoch": 64, "iter": 39950, "lr": 5e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.33474, "decode.acc_seg": 70.33131, "aux.loss_seg": 0.23011, "aux.acc_seg": 64.05288, "loss": 0.56484, "time": 0.40108} +{"mode": "train", "epoch": 64, "iter": 40000, "lr": 5e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.33268, "decode.acc_seg": 70.86785, "aux.loss_seg": 0.23206, "aux.acc_seg": 64.59109, "loss": 0.56474, "time": 0.40142} +{"mode": "train", "epoch": 64, "iter": 40050, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.32856, "decode.acc_seg": 69.56578, "aux.loss_seg": 0.2258, "aux.acc_seg": 63.32495, "loss": 0.55435, "time": 0.40174} +{"mode": "train", "epoch": 64, "iter": 40100, "lr": 4e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.31726, "decode.acc_seg": 70.00934, "aux.loss_seg": 0.22651, "aux.acc_seg": 63.41757, "loss": 0.54378, "time": 0.40166} +{"mode": "train", "epoch": 64, "iter": 40150, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.33902, "decode.acc_seg": 71.74836, "aux.loss_seg": 0.2335, "aux.acc_seg": 65.4018, "loss": 0.57251, "time": 0.40114} +{"mode": "train", "epoch": 64, "iter": 40200, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.3389, "decode.acc_seg": 70.39651, "aux.loss_seg": 0.23894, "aux.acc_seg": 63.6078, "loss": 0.57784, "time": 0.40147} +{"mode": "train", "epoch": 64, "iter": 40250, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.32794, "decode.acc_seg": 70.40985, "aux.loss_seg": 0.22951, "aux.acc_seg": 64.19999, "loss": 0.55745, "time": 0.40152} +{"mode": "train", "epoch": 64, "iter": 40300, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.33346, "decode.acc_seg": 69.45979, "aux.loss_seg": 0.23215, "aux.acc_seg": 62.9466, "loss": 0.56561, "time": 0.40107} +{"mode": "train", "epoch": 64, "iter": 40350, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.33786, "decode.acc_seg": 70.13974, "aux.loss_seg": 0.23188, "aux.acc_seg": 63.8845, "loss": 0.56975, "time": 0.40133} +{"mode": "train", "epoch": 65, "iter": 40400, "lr": 4e-05, "memory": 22018, "data_time": 0.17724, "decode.loss_seg": 0.33541, "decode.acc_seg": 70.70606, "aux.loss_seg": 0.23422, "aux.acc_seg": 64.2723, "loss": 0.56963, "time": 0.5696} +{"mode": "train", "epoch": 65, "iter": 40450, "lr": 4e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.31511, "decode.acc_seg": 70.30117, "aux.loss_seg": 0.22286, "aux.acc_seg": 63.91767, "loss": 0.53797, "time": 0.40191} +{"mode": "train", "epoch": 65, "iter": 40500, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.32835, "decode.acc_seg": 69.83125, "aux.loss_seg": 0.22592, "aux.acc_seg": 63.8805, "loss": 0.55427, "time": 0.40224} +{"mode": "train", "epoch": 65, "iter": 40550, "lr": 4e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.30951, "decode.acc_seg": 71.08067, "aux.loss_seg": 0.22523, "aux.acc_seg": 64.41922, "loss": 0.53474, "time": 0.40228} +{"mode": "train", "epoch": 65, "iter": 40600, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.31919, "decode.acc_seg": 71.15375, "aux.loss_seg": 0.22252, "aux.acc_seg": 64.9538, "loss": 0.5417, "time": 0.40178} +{"mode": "train", "epoch": 65, "iter": 40650, "lr": 4e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.31857, "decode.acc_seg": 70.3788, "aux.loss_seg": 0.22555, "aux.acc_seg": 63.85181, "loss": 0.54412, "time": 0.40192} +{"mode": "train", "epoch": 65, "iter": 40700, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.33631, "decode.acc_seg": 70.68261, "aux.loss_seg": 0.23497, "aux.acc_seg": 64.30808, "loss": 0.57128, "time": 0.40178} +{"mode": "train", "epoch": 65, "iter": 40750, "lr": 4e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.3157, "decode.acc_seg": 69.35095, "aux.loss_seg": 0.22357, "aux.acc_seg": 63.04039, "loss": 0.53927, "time": 0.40236} +{"mode": "train", "epoch": 65, "iter": 40800, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.33083, "decode.acc_seg": 70.82154, "aux.loss_seg": 0.2326, "aux.acc_seg": 64.33244, "loss": 0.56343, "time": 0.40187} +{"mode": "train", "epoch": 65, "iter": 40850, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.32235, "decode.acc_seg": 70.80716, "aux.loss_seg": 0.2291, "aux.acc_seg": 64.11145, "loss": 0.55145, "time": 0.40258} +{"mode": "train", "epoch": 65, "iter": 40900, "lr": 4e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.32737, "decode.acc_seg": 69.82334, "aux.loss_seg": 0.23167, "aux.acc_seg": 63.22716, "loss": 0.55903, "time": 0.40178} +{"mode": "train", "epoch": 65, "iter": 40950, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.31956, "decode.acc_seg": 70.90553, "aux.loss_seg": 0.22097, "aux.acc_seg": 64.89697, "loss": 0.54053, "time": 0.40149} +{"mode": "train", "epoch": 65, "iter": 41000, "lr": 4e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.33337, "decode.acc_seg": 70.52232, "aux.loss_seg": 0.23564, "aux.acc_seg": 63.7597, "loss": 0.56901, "time": 0.40193} +{"mode": "train", "epoch": 66, "iter": 41050, "lr": 4e-05, "memory": 22018, "data_time": 0.16986, "decode.loss_seg": 0.32442, "decode.acc_seg": 70.78749, "aux.loss_seg": 0.22707, "aux.acc_seg": 64.36965, "loss": 0.55148, "time": 0.56365} +{"mode": "train", "epoch": 66, "iter": 41100, "lr": 4e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.32388, "decode.acc_seg": 71.1883, "aux.loss_seg": 0.23364, "aux.acc_seg": 64.26552, "loss": 0.55751, "time": 0.40034} +{"mode": "train", "epoch": 66, "iter": 41150, "lr": 4e-05, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.33086, "decode.acc_seg": 70.87535, "aux.loss_seg": 0.23477, "aux.acc_seg": 64.29424, "loss": 0.56563, "time": 0.40035} +{"mode": "train", "epoch": 66, "iter": 41200, "lr": 4e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.32005, "decode.acc_seg": 70.71764, "aux.loss_seg": 0.2232, "aux.acc_seg": 64.37493, "loss": 0.54325, "time": 0.39988} +{"mode": "train", "epoch": 66, "iter": 41250, "lr": 4e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.31922, "decode.acc_seg": 70.47044, "aux.loss_seg": 0.22641, "aux.acc_seg": 63.89919, "loss": 0.54563, "time": 0.40077} +{"mode": "train", "epoch": 66, "iter": 41300, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.33365, "decode.acc_seg": 70.9111, "aux.loss_seg": 0.23697, "aux.acc_seg": 64.24646, "loss": 0.57062, "time": 0.40033} +{"mode": "train", "epoch": 66, "iter": 41350, "lr": 4e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.32377, "decode.acc_seg": 68.68239, "aux.loss_seg": 0.22807, "aux.acc_seg": 62.29685, "loss": 0.55183, "time": 0.40058} +{"mode": "train", "epoch": 66, "iter": 41400, "lr": 4e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.32442, "decode.acc_seg": 70.48089, "aux.loss_seg": 0.23062, "aux.acc_seg": 63.90794, "loss": 0.55504, "time": 0.40001} +{"mode": "train", "epoch": 66, "iter": 41450, "lr": 4e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.32516, "decode.acc_seg": 69.91754, "aux.loss_seg": 0.22618, "aux.acc_seg": 63.62809, "loss": 0.55134, "time": 0.40043} +{"mode": "train", "epoch": 66, "iter": 41500, "lr": 4e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.32827, "decode.acc_seg": 70.56415, "aux.loss_seg": 0.23517, "aux.acc_seg": 63.76614, "loss": 0.56343, "time": 0.40049} +{"mode": "train", "epoch": 66, "iter": 41550, "lr": 4e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.32385, "decode.acc_seg": 70.45511, "aux.loss_seg": 0.22464, "aux.acc_seg": 64.58324, "loss": 0.54849, "time": 0.40188} +{"mode": "train", "epoch": 66, "iter": 41600, "lr": 4e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.3025, "decode.acc_seg": 70.74268, "aux.loss_seg": 0.21872, "aux.acc_seg": 64.34953, "loss": 0.52122, "time": 0.40114} +{"mode": "train", "epoch": 67, "iter": 41650, "lr": 4e-05, "memory": 22018, "data_time": 0.1786, "decode.loss_seg": 0.31905, "decode.acc_seg": 70.59604, "aux.loss_seg": 0.22554, "aux.acc_seg": 64.20136, "loss": 0.54459, "time": 0.57149} +{"mode": "train", "epoch": 67, "iter": 41700, "lr": 4e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.32186, "decode.acc_seg": 71.00753, "aux.loss_seg": 0.22503, "aux.acc_seg": 64.88825, "loss": 0.54689, "time": 0.40134} +{"mode": "train", "epoch": 67, "iter": 41750, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.32838, "decode.acc_seg": 70.03074, "aux.loss_seg": 0.22901, "aux.acc_seg": 63.76595, "loss": 0.55738, "time": 0.40157} +{"mode": "train", "epoch": 67, "iter": 41800, "lr": 4e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.32447, "decode.acc_seg": 71.08168, "aux.loss_seg": 0.23265, "aux.acc_seg": 64.61035, "loss": 0.55712, "time": 0.40141} +{"mode": "train", "epoch": 67, "iter": 41850, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.33231, "decode.acc_seg": 70.62748, "aux.loss_seg": 0.23417, "aux.acc_seg": 64.00085, "loss": 0.56647, "time": 0.402} +{"mode": "train", "epoch": 67, "iter": 41900, "lr": 4e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.31787, "decode.acc_seg": 70.77198, "aux.loss_seg": 0.22179, "aux.acc_seg": 64.4611, "loss": 0.53966, "time": 0.40168} +{"mode": "train", "epoch": 67, "iter": 41950, "lr": 4e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.31603, "decode.acc_seg": 70.0764, "aux.loss_seg": 0.22455, "aux.acc_seg": 63.79944, "loss": 0.54058, "time": 0.4022} +{"mode": "train", "epoch": 67, "iter": 42000, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.32154, "decode.acc_seg": 69.65087, "aux.loss_seg": 0.226, "aux.acc_seg": 63.11351, "loss": 0.54754, "time": 0.40151} +{"mode": "train", "epoch": 67, "iter": 42050, "lr": 4e-05, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.31473, "decode.acc_seg": 70.89034, "aux.loss_seg": 0.22634, "aux.acc_seg": 64.15455, "loss": 0.54106, "time": 0.40124} +{"mode": "train", "epoch": 67, "iter": 42100, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.30509, "decode.acc_seg": 70.55897, "aux.loss_seg": 0.21974, "aux.acc_seg": 64.23344, "loss": 0.52483, "time": 0.40114} +{"mode": "train", "epoch": 67, "iter": 42150, "lr": 4e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.31383, "decode.acc_seg": 69.94434, "aux.loss_seg": 0.22131, "aux.acc_seg": 63.73007, "loss": 0.53513, "time": 0.40149} +{"mode": "train", "epoch": 67, "iter": 42200, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.32365, "decode.acc_seg": 70.76331, "aux.loss_seg": 0.22544, "aux.acc_seg": 64.65557, "loss": 0.54909, "time": 0.40166} +{"mode": "train", "epoch": 67, "iter": 42250, "lr": 4e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.32648, "decode.acc_seg": 70.58888, "aux.loss_seg": 0.23157, "aux.acc_seg": 64.16579, "loss": 0.55805, "time": 0.4011} +{"mode": "train", "epoch": 68, "iter": 42300, "lr": 4e-05, "memory": 22018, "data_time": 0.17722, "decode.loss_seg": 0.32289, "decode.acc_seg": 70.86057, "aux.loss_seg": 0.23167, "aux.acc_seg": 64.13725, "loss": 0.55456, "time": 0.56955} +{"mode": "train", "epoch": 68, "iter": 42350, "lr": 4e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.30854, "decode.acc_seg": 71.44738, "aux.loss_seg": 0.222, "aux.acc_seg": 64.91516, "loss": 0.53054, "time": 0.4011} +{"mode": "train", "epoch": 68, "iter": 42400, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.3197, "decode.acc_seg": 70.64095, "aux.loss_seg": 0.228, "aux.acc_seg": 64.12282, "loss": 0.54769, "time": 0.40086} +{"mode": "train", "epoch": 68, "iter": 42450, "lr": 4e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.30467, "decode.acc_seg": 71.47711, "aux.loss_seg": 0.21335, "aux.acc_seg": 65.47598, "loss": 0.51801, "time": 0.40093} +{"mode": "train", "epoch": 68, "iter": 42500, "lr": 4e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.30999, "decode.acc_seg": 70.81556, "aux.loss_seg": 0.22067, "aux.acc_seg": 64.48777, "loss": 0.53066, "time": 0.40124} +{"mode": "train", "epoch": 68, "iter": 42550, "lr": 4e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.31347, "decode.acc_seg": 70.05304, "aux.loss_seg": 0.2194, "aux.acc_seg": 63.92916, "loss": 0.53286, "time": 0.40149} +{"mode": "train", "epoch": 68, "iter": 42600, "lr": 4e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.31951, "decode.acc_seg": 71.55384, "aux.loss_seg": 0.22585, "aux.acc_seg": 64.96229, "loss": 0.54536, "time": 0.40312} +{"mode": "train", "epoch": 68, "iter": 42650, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.32771, "decode.acc_seg": 71.22049, "aux.loss_seg": 0.23229, "aux.acc_seg": 64.5529, "loss": 0.56, "time": 0.40253} +{"mode": "train", "epoch": 68, "iter": 42700, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.32043, "decode.acc_seg": 69.49268, "aux.loss_seg": 0.22715, "aux.acc_seg": 62.96349, "loss": 0.54758, "time": 0.40158} +{"mode": "train", "epoch": 68, "iter": 42750, "lr": 4e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.32951, "decode.acc_seg": 69.87236, "aux.loss_seg": 0.23182, "aux.acc_seg": 63.4045, "loss": 0.56134, "time": 0.40207} +{"mode": "train", "epoch": 68, "iter": 42800, "lr": 4e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.31431, "decode.acc_seg": 70.63263, "aux.loss_seg": 0.22071, "aux.acc_seg": 64.46983, "loss": 0.53502, "time": 0.40195} +{"mode": "train", "epoch": 68, "iter": 42850, "lr": 4e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.31384, "decode.acc_seg": 70.53145, "aux.loss_seg": 0.22339, "aux.acc_seg": 64.47505, "loss": 0.53723, "time": 0.402} +{"mode": "train", "epoch": 68, "iter": 42900, "lr": 4e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.32643, "decode.acc_seg": 70.30058, "aux.loss_seg": 0.23014, "aux.acc_seg": 63.58699, "loss": 0.55657, "time": 0.40267} +{"mode": "train", "epoch": 69, "iter": 42950, "lr": 4e-05, "memory": 22018, "data_time": 0.17141, "decode.loss_seg": 0.30937, "decode.acc_seg": 71.61367, "aux.loss_seg": 0.22199, "aux.acc_seg": 65.31852, "loss": 0.53136, "time": 0.5644} +{"mode": "train", "epoch": 69, "iter": 43000, "lr": 4e-05, "memory": 22018, "data_time": 0.01067, "decode.loss_seg": 0.31751, "decode.acc_seg": 70.24003, "aux.loss_seg": 0.22834, "aux.acc_seg": 63.8181, "loss": 0.54584, "time": 0.40293} +{"mode": "train", "epoch": 69, "iter": 43050, "lr": 4e-05, "memory": 22018, "data_time": 0.01055, "decode.loss_seg": 0.29952, "decode.acc_seg": 70.79624, "aux.loss_seg": 0.21502, "aux.acc_seg": 64.49997, "loss": 0.51454, "time": 0.4028} +{"mode": "train", "epoch": 69, "iter": 43100, "lr": 4e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.32202, "decode.acc_seg": 70.58891, "aux.loss_seg": 0.23025, "aux.acc_seg": 63.94446, "loss": 0.55227, "time": 0.40261} +{"mode": "train", "epoch": 69, "iter": 43150, "lr": 4e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.31198, "decode.acc_seg": 70.83475, "aux.loss_seg": 0.22476, "aux.acc_seg": 64.14933, "loss": 0.53674, "time": 0.40283} +{"mode": "train", "epoch": 69, "iter": 43200, "lr": 4e-05, "memory": 22018, "data_time": 0.01046, "decode.loss_seg": 0.32985, "decode.acc_seg": 71.17195, "aux.loss_seg": 0.22201, "aux.acc_seg": 65.37267, "loss": 0.55186, "time": 0.40255} +{"mode": "train", "epoch": 69, "iter": 43250, "lr": 4e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.32474, "decode.acc_seg": 70.79273, "aux.loss_seg": 0.22479, "aux.acc_seg": 64.86852, "loss": 0.54953, "time": 0.40321} +{"mode": "train", "epoch": 69, "iter": 43300, "lr": 4e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.3165, "decode.acc_seg": 71.37947, "aux.loss_seg": 0.23095, "aux.acc_seg": 64.6544, "loss": 0.54745, "time": 0.40265} +{"mode": "train", "epoch": 69, "iter": 43350, "lr": 4e-05, "memory": 22018, "data_time": 0.01014, "decode.loss_seg": 0.31449, "decode.acc_seg": 70.18862, "aux.loss_seg": 0.22153, "aux.acc_seg": 64.272, "loss": 0.53602, "time": 0.40366} +{"mode": "train", "epoch": 69, "iter": 43400, "lr": 4e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.31992, "decode.acc_seg": 70.86145, "aux.loss_seg": 0.22337, "aux.acc_seg": 64.63326, "loss": 0.5433, "time": 0.4039} +{"mode": "train", "epoch": 69, "iter": 43450, "lr": 4e-05, "memory": 22018, "data_time": 0.01136, "decode.loss_seg": 0.31822, "decode.acc_seg": 71.70579, "aux.loss_seg": 0.23248, "aux.acc_seg": 64.75769, "loss": 0.5507, "time": 0.40491} +{"mode": "train", "epoch": 69, "iter": 43500, "lr": 4e-05, "memory": 22018, "data_time": 0.01142, "decode.loss_seg": 0.31056, "decode.acc_seg": 70.7808, "aux.loss_seg": 0.2214, "aux.acc_seg": 64.73456, "loss": 0.53196, "time": 0.40448} +{"mode": "train", "epoch": 70, "iter": 43550, "lr": 4e-05, "memory": 22018, "data_time": 0.16572, "decode.loss_seg": 0.30687, "decode.acc_seg": 70.56878, "aux.loss_seg": 0.22139, "aux.acc_seg": 63.84177, "loss": 0.52826, "time": 0.55915} +{"mode": "train", "epoch": 70, "iter": 43600, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.31534, "decode.acc_seg": 70.15658, "aux.loss_seg": 0.2232, "aux.acc_seg": 63.82387, "loss": 0.53853, "time": 0.40247} +{"mode": "train", "epoch": 70, "iter": 43650, "lr": 4e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.31316, "decode.acc_seg": 71.22199, "aux.loss_seg": 0.21835, "aux.acc_seg": 65.20377, "loss": 0.53152, "time": 0.40215} +{"mode": "train", "epoch": 70, "iter": 43700, "lr": 4e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.30942, "decode.acc_seg": 71.2355, "aux.loss_seg": 0.22294, "aux.acc_seg": 64.75114, "loss": 0.53236, "time": 0.40295} +{"mode": "train", "epoch": 70, "iter": 43750, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.31858, "decode.acc_seg": 71.11231, "aux.loss_seg": 0.23133, "aux.acc_seg": 64.4839, "loss": 0.54992, "time": 0.40292} +{"mode": "train", "epoch": 70, "iter": 43800, "lr": 4e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.30403, "decode.acc_seg": 71.10575, "aux.loss_seg": 0.21998, "aux.acc_seg": 64.61872, "loss": 0.52402, "time": 0.40327} +{"mode": "train", "epoch": 70, "iter": 43850, "lr": 4e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.30735, "decode.acc_seg": 69.82441, "aux.loss_seg": 0.2154, "aux.acc_seg": 63.58213, "loss": 0.52276, "time": 0.40296} +{"mode": "train", "epoch": 70, "iter": 43900, "lr": 4e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.32919, "decode.acc_seg": 70.59535, "aux.loss_seg": 0.23677, "aux.acc_seg": 63.83907, "loss": 0.56596, "time": 0.40281} +{"mode": "train", "epoch": 70, "iter": 43950, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.31648, "decode.acc_seg": 70.90721, "aux.loss_seg": 0.22509, "aux.acc_seg": 64.42032, "loss": 0.54158, "time": 0.40234} +{"mode": "train", "epoch": 70, "iter": 44000, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.30907, "decode.acc_seg": 71.24333, "aux.loss_seg": 0.2219, "aux.acc_seg": 64.78296, "loss": 0.53097, "time": 0.4025} +{"mode": "train", "epoch": 70, "iter": 44050, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.30487, "decode.acc_seg": 70.46016, "aux.loss_seg": 0.21693, "aux.acc_seg": 64.1638, "loss": 0.5218, "time": 0.40229} +{"mode": "train", "epoch": 70, "iter": 44100, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.31848, "decode.acc_seg": 70.82351, "aux.loss_seg": 0.22398, "aux.acc_seg": 64.5151, "loss": 0.54246, "time": 0.40204} +{"mode": "train", "epoch": 70, "iter": 44150, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.31358, "decode.acc_seg": 70.27833, "aux.loss_seg": 0.22272, "aux.acc_seg": 63.8946, "loss": 0.53629, "time": 0.40172} +{"mode": "train", "epoch": 71, "iter": 44200, "lr": 4e-05, "memory": 22018, "data_time": 0.16886, "decode.loss_seg": 0.31353, "decode.acc_seg": 71.17671, "aux.loss_seg": 0.22208, "aux.acc_seg": 64.78706, "loss": 0.53561, "time": 0.56203} +{"mode": "train", "epoch": 71, "iter": 44250, "lr": 4e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.2999, "decode.acc_seg": 70.81153, "aux.loss_seg": 0.21627, "aux.acc_seg": 64.41751, "loss": 0.51616, "time": 0.40245} +{"mode": "train", "epoch": 71, "iter": 44300, "lr": 4e-05, "memory": 22018, "data_time": 0.01068, "decode.loss_seg": 0.30845, "decode.acc_seg": 71.07845, "aux.loss_seg": 0.2248, "aux.acc_seg": 64.47151, "loss": 0.53326, "time": 0.4026} +{"mode": "train", "epoch": 71, "iter": 44350, "lr": 4e-05, "memory": 22018, "data_time": 0.01065, "decode.loss_seg": 0.31543, "decode.acc_seg": 71.48059, "aux.loss_seg": 0.22739, "aux.acc_seg": 64.91312, "loss": 0.54282, "time": 0.4023} +{"mode": "train", "epoch": 71, "iter": 44400, "lr": 4e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.30336, "decode.acc_seg": 71.33403, "aux.loss_seg": 0.21871, "aux.acc_seg": 64.71607, "loss": 0.52207, "time": 0.40251} +{"mode": "train", "epoch": 71, "iter": 44450, "lr": 4e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.32141, "decode.acc_seg": 70.13055, "aux.loss_seg": 0.22671, "aux.acc_seg": 63.75952, "loss": 0.54813, "time": 0.40271} +{"mode": "train", "epoch": 71, "iter": 44500, "lr": 4e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.31459, "decode.acc_seg": 70.93337, "aux.loss_seg": 0.22176, "aux.acc_seg": 64.61731, "loss": 0.53635, "time": 0.40204} +{"mode": "train", "epoch": 71, "iter": 44550, "lr": 4e-05, "memory": 22018, "data_time": 0.01044, "decode.loss_seg": 0.32313, "decode.acc_seg": 71.24132, "aux.loss_seg": 0.22999, "aux.acc_seg": 64.56171, "loss": 0.55312, "time": 0.40242} +{"mode": "train", "epoch": 71, "iter": 44600, "lr": 4e-05, "memory": 22018, "data_time": 0.01006, "decode.loss_seg": 0.31911, "decode.acc_seg": 70.7165, "aux.loss_seg": 0.21938, "aux.acc_seg": 65.02436, "loss": 0.53849, "time": 0.4021} +{"mode": "train", "epoch": 71, "iter": 44650, "lr": 4e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.31288, "decode.acc_seg": 71.06785, "aux.loss_seg": 0.22227, "aux.acc_seg": 64.83753, "loss": 0.53515, "time": 0.40251} +{"mode": "train", "epoch": 71, "iter": 44700, "lr": 4e-05, "memory": 22018, "data_time": 0.0102, "decode.loss_seg": 0.30812, "decode.acc_seg": 70.34793, "aux.loss_seg": 0.21537, "aux.acc_seg": 64.21729, "loss": 0.52349, "time": 0.40318} +{"mode": "train", "epoch": 71, "iter": 44750, "lr": 4e-05, "memory": 22018, "data_time": 0.01076, "decode.loss_seg": 0.30802, "decode.acc_seg": 70.96, "aux.loss_seg": 0.22155, "aux.acc_seg": 64.34437, "loss": 0.52957, "time": 0.40279} +{"mode": "train", "epoch": 71, "iter": 44800, "lr": 4e-05, "memory": 22018, "data_time": 0.01065, "decode.loss_seg": 0.32516, "decode.acc_seg": 70.24954, "aux.loss_seg": 0.2259, "aux.acc_seg": 64.08128, "loss": 0.55106, "time": 0.40265} +{"mode": "train", "epoch": 72, "iter": 44850, "lr": 4e-05, "memory": 22018, "data_time": 0.17677, "decode.loss_seg": 0.30672, "decode.acc_seg": 71.77818, "aux.loss_seg": 0.21712, "aux.acc_seg": 65.60247, "loss": 0.52384, "time": 0.57094} +{"mode": "train", "epoch": 72, "iter": 44900, "lr": 4e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.29944, "decode.acc_seg": 71.27787, "aux.loss_seg": 0.21221, "aux.acc_seg": 65.28482, "loss": 0.51165, "time": 0.40057} +{"mode": "train", "epoch": 72, "iter": 44950, "lr": 4e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.30532, "decode.acc_seg": 71.61787, "aux.loss_seg": 0.22168, "aux.acc_seg": 64.94571, "loss": 0.527, "time": 0.40062} +{"mode": "train", "epoch": 72, "iter": 45000, "lr": 4e-05, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.31457, "decode.acc_seg": 70.19343, "aux.loss_seg": 0.22312, "aux.acc_seg": 63.76347, "loss": 0.53768, "time": 0.40075} +{"mode": "train", "epoch": 72, "iter": 45050, "lr": 4e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.30726, "decode.acc_seg": 70.81832, "aux.loss_seg": 0.21916, "aux.acc_seg": 64.41928, "loss": 0.52642, "time": 0.40087} +{"mode": "train", "epoch": 72, "iter": 45100, "lr": 4e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.30731, "decode.acc_seg": 70.58066, "aux.loss_seg": 0.22445, "aux.acc_seg": 63.7776, "loss": 0.53176, "time": 0.40098} +{"mode": "train", "epoch": 72, "iter": 45150, "lr": 4e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.32323, "decode.acc_seg": 70.86213, "aux.loss_seg": 0.22577, "aux.acc_seg": 64.59432, "loss": 0.549, "time": 0.40042} +{"mode": "train", "epoch": 72, "iter": 45200, "lr": 4e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.32281, "decode.acc_seg": 70.61364, "aux.loss_seg": 0.22698, "aux.acc_seg": 64.23448, "loss": 0.54979, "time": 0.40062} +{"mode": "train", "epoch": 72, "iter": 45250, "lr": 4e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.31275, "decode.acc_seg": 70.5277, "aux.loss_seg": 0.22202, "aux.acc_seg": 64.15824, "loss": 0.53477, "time": 0.40093} +{"mode": "train", "epoch": 72, "iter": 45300, "lr": 4e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.3114, "decode.acc_seg": 70.34214, "aux.loss_seg": 0.22411, "aux.acc_seg": 63.88067, "loss": 0.53551, "time": 0.40123} +{"mode": "train", "epoch": 72, "iter": 45350, "lr": 4e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.31036, "decode.acc_seg": 70.75087, "aux.loss_seg": 0.22302, "aux.acc_seg": 64.46893, "loss": 0.53338, "time": 0.40133} +{"mode": "train", "epoch": 72, "iter": 45400, "lr": 4e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.30857, "decode.acc_seg": 70.43059, "aux.loss_seg": 0.21492, "aux.acc_seg": 64.47413, "loss": 0.52349, "time": 0.40091} +{"mode": "train", "epoch": 73, "iter": 45450, "lr": 4e-05, "memory": 22018, "data_time": 0.16839, "decode.loss_seg": 0.31536, "decode.acc_seg": 70.50274, "aux.loss_seg": 0.22145, "aux.acc_seg": 64.03565, "loss": 0.5368, "time": 0.5628} +{"mode": "train", "epoch": 73, "iter": 45500, "lr": 4e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.30932, "decode.acc_seg": 70.28226, "aux.loss_seg": 0.22001, "aux.acc_seg": 64.02185, "loss": 0.52934, "time": 0.40258} +{"mode": "train", "epoch": 73, "iter": 45550, "lr": 4e-05, "memory": 22018, "data_time": 0.01058, "decode.loss_seg": 0.3048, "decode.acc_seg": 70.69158, "aux.loss_seg": 0.21584, "aux.acc_seg": 64.52696, "loss": 0.52064, "time": 0.40267} +{"mode": "train", "epoch": 73, "iter": 45600, "lr": 4e-05, "memory": 22018, "data_time": 0.01054, "decode.loss_seg": 0.30931, "decode.acc_seg": 70.73498, "aux.loss_seg": 0.21668, "aux.acc_seg": 64.77948, "loss": 0.52599, "time": 0.40284} +{"mode": "train", "epoch": 73, "iter": 45650, "lr": 4e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.29497, "decode.acc_seg": 70.85019, "aux.loss_seg": 0.21415, "aux.acc_seg": 64.47062, "loss": 0.50912, "time": 0.40228} +{"mode": "train", "epoch": 73, "iter": 45700, "lr": 4e-05, "memory": 22018, "data_time": 0.01082, "decode.loss_seg": 0.30511, "decode.acc_seg": 71.02982, "aux.loss_seg": 0.21248, "aux.acc_seg": 65.4147, "loss": 0.51758, "time": 0.4024} +{"mode": "train", "epoch": 73, "iter": 45750, "lr": 4e-05, "memory": 22018, "data_time": 0.01075, "decode.loss_seg": 0.30317, "decode.acc_seg": 71.14598, "aux.loss_seg": 0.21991, "aux.acc_seg": 64.49481, "loss": 0.52308, "time": 0.40286} +{"mode": "train", "epoch": 73, "iter": 45800, "lr": 4e-05, "memory": 22018, "data_time": 0.01098, "decode.loss_seg": 0.31372, "decode.acc_seg": 70.25502, "aux.loss_seg": 0.22243, "aux.acc_seg": 64.02436, "loss": 0.53615, "time": 0.40232} +{"mode": "train", "epoch": 73, "iter": 45850, "lr": 4e-05, "memory": 22018, "data_time": 0.01056, "decode.loss_seg": 0.30094, "decode.acc_seg": 71.07769, "aux.loss_seg": 0.21976, "aux.acc_seg": 64.81192, "loss": 0.52071, "time": 0.40243} +{"mode": "train", "epoch": 73, "iter": 45900, "lr": 4e-05, "memory": 22018, "data_time": 0.01078, "decode.loss_seg": 0.29982, "decode.acc_seg": 71.21126, "aux.loss_seg": 0.2173, "aux.acc_seg": 64.82852, "loss": 0.51712, "time": 0.40247} +{"mode": "train", "epoch": 73, "iter": 45950, "lr": 4e-05, "memory": 22018, "data_time": 0.01097, "decode.loss_seg": 0.29671, "decode.acc_seg": 70.41459, "aux.loss_seg": 0.21236, "aux.acc_seg": 64.3864, "loss": 0.50907, "time": 0.40232} +{"mode": "train", "epoch": 73, "iter": 46000, "lr": 4e-05, "memory": 22018, "data_time": 0.01117, "decode.loss_seg": 0.30726, "decode.acc_seg": 71.24563, "aux.loss_seg": 0.21569, "aux.acc_seg": 65.29872, "loss": 0.52296, "time": 0.40273} +{"mode": "train", "epoch": 73, "iter": 46050, "lr": 4e-05, "memory": 22018, "data_time": 0.01128, "decode.loss_seg": 0.29558, "decode.acc_seg": 70.21034, "aux.loss_seg": 0.21827, "aux.acc_seg": 63.69859, "loss": 0.51385, "time": 0.4024} +{"mode": "train", "epoch": 74, "iter": 46100, "lr": 4e-05, "memory": 22018, "data_time": 0.18137, "decode.loss_seg": 0.30274, "decode.acc_seg": 70.9633, "aux.loss_seg": 0.22338, "aux.acc_seg": 64.26983, "loss": 0.52612, "time": 0.5738} +{"mode": "train", "epoch": 74, "iter": 46150, "lr": 4e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.2971, "decode.acc_seg": 70.61687, "aux.loss_seg": 0.22164, "aux.acc_seg": 64.03311, "loss": 0.51873, "time": 0.4022} +{"mode": "train", "epoch": 74, "iter": 46200, "lr": 4e-05, "memory": 22018, "data_time": 0.0101, "decode.loss_seg": 0.30422, "decode.acc_seg": 71.0638, "aux.loss_seg": 0.21549, "aux.acc_seg": 65.06753, "loss": 0.51971, "time": 0.40217} +{"mode": "train", "epoch": 74, "iter": 46250, "lr": 4e-05, "memory": 22018, "data_time": 0.01021, "decode.loss_seg": 0.30249, "decode.acc_seg": 71.33522, "aux.loss_seg": 0.22002, "aux.acc_seg": 64.8602, "loss": 0.5225, "time": 0.40285} +{"mode": "train", "epoch": 74, "iter": 46300, "lr": 4e-05, "memory": 22018, "data_time": 0.01063, "decode.loss_seg": 0.31862, "decode.acc_seg": 71.26124, "aux.loss_seg": 0.22537, "aux.acc_seg": 65.08642, "loss": 0.544, "time": 0.40261} +{"mode": "train", "epoch": 74, "iter": 46350, "lr": 4e-05, "memory": 22018, "data_time": 0.01071, "decode.loss_seg": 0.30458, "decode.acc_seg": 71.31685, "aux.loss_seg": 0.22162, "aux.acc_seg": 64.73602, "loss": 0.5262, "time": 0.40264} +{"mode": "train", "epoch": 74, "iter": 46400, "lr": 4e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.31084, "decode.acc_seg": 70.99773, "aux.loss_seg": 0.22115, "aux.acc_seg": 64.64403, "loss": 0.53199, "time": 0.40311} +{"mode": "train", "epoch": 74, "iter": 46450, "lr": 4e-05, "memory": 22018, "data_time": 0.01059, "decode.loss_seg": 0.30475, "decode.acc_seg": 70.40573, "aux.loss_seg": 0.2189, "aux.acc_seg": 64.10694, "loss": 0.52365, "time": 0.40241} +{"mode": "train", "epoch": 74, "iter": 46500, "lr": 4e-05, "memory": 22018, "data_time": 0.01058, "decode.loss_seg": 0.28983, "decode.acc_seg": 69.82842, "aux.loss_seg": 0.20999, "aux.acc_seg": 63.65072, "loss": 0.49982, "time": 0.40293} +{"mode": "train", "epoch": 74, "iter": 46550, "lr": 4e-05, "memory": 22018, "data_time": 0.0108, "decode.loss_seg": 0.30601, "decode.acc_seg": 70.24751, "aux.loss_seg": 0.22186, "aux.acc_seg": 63.53559, "loss": 0.52787, "time": 0.40346} +{"mode": "train", "epoch": 74, "iter": 46600, "lr": 4e-05, "memory": 22018, "data_time": 0.01092, "decode.loss_seg": 0.30618, "decode.acc_seg": 71.49163, "aux.loss_seg": 0.21901, "aux.acc_seg": 65.20554, "loss": 0.52519, "time": 0.40313} +{"mode": "train", "epoch": 74, "iter": 46650, "lr": 4e-05, "memory": 22018, "data_time": 0.01047, "decode.loss_seg": 0.29965, "decode.acc_seg": 70.94397, "aux.loss_seg": 0.21783, "aux.acc_seg": 64.67648, "loss": 0.51747, "time": 0.40235} +{"mode": "train", "epoch": 75, "iter": 46700, "lr": 4e-05, "memory": 22018, "data_time": 0.17728, "decode.loss_seg": 0.30661, "decode.acc_seg": 70.47809, "aux.loss_seg": 0.22004, "aux.acc_seg": 64.24258, "loss": 0.52666, "time": 0.57007} +{"mode": "train", "epoch": 75, "iter": 46750, "lr": 4e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.30379, "decode.acc_seg": 71.05418, "aux.loss_seg": 0.2176, "aux.acc_seg": 64.91957, "loss": 0.52139, "time": 0.4024} +{"mode": "train", "epoch": 75, "iter": 46800, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.29766, "decode.acc_seg": 72.26308, "aux.loss_seg": 0.21351, "aux.acc_seg": 66.12016, "loss": 0.51118, "time": 0.4022} +{"mode": "train", "epoch": 75, "iter": 46850, "lr": 4e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.29329, "decode.acc_seg": 71.81688, "aux.loss_seg": 0.21131, "aux.acc_seg": 65.75522, "loss": 0.5046, "time": 0.40145} +{"mode": "train", "epoch": 75, "iter": 46900, "lr": 4e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.30257, "decode.acc_seg": 70.16243, "aux.loss_seg": 0.21737, "aux.acc_seg": 63.74149, "loss": 0.51994, "time": 0.40108} +{"mode": "train", "epoch": 75, "iter": 46950, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.30639, "decode.acc_seg": 72.08023, "aux.loss_seg": 0.22154, "aux.acc_seg": 65.47935, "loss": 0.52793, "time": 0.40179} +{"mode": "train", "epoch": 75, "iter": 47000, "lr": 4e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.30304, "decode.acc_seg": 70.23827, "aux.loss_seg": 0.21872, "aux.acc_seg": 63.82821, "loss": 0.52176, "time": 0.4026} +{"mode": "train", "epoch": 75, "iter": 47050, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.29976, "decode.acc_seg": 71.38092, "aux.loss_seg": 0.21778, "aux.acc_seg": 65.11296, "loss": 0.51754, "time": 0.40194} +{"mode": "train", "epoch": 75, "iter": 47100, "lr": 4e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.30449, "decode.acc_seg": 70.80262, "aux.loss_seg": 0.2179, "aux.acc_seg": 64.57848, "loss": 0.52238, "time": 0.40074} +{"mode": "train", "epoch": 75, "iter": 47150, "lr": 4e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.31171, "decode.acc_seg": 70.97854, "aux.loss_seg": 0.2211, "aux.acc_seg": 64.74584, "loss": 0.53281, "time": 0.40191} +{"mode": "train", "epoch": 75, "iter": 47200, "lr": 4e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.30974, "decode.acc_seg": 70.98363, "aux.loss_seg": 0.21927, "aux.acc_seg": 64.79302, "loss": 0.52901, "time": 0.40115} +{"mode": "train", "epoch": 75, "iter": 47250, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.29623, "decode.acc_seg": 71.83677, "aux.loss_seg": 0.21495, "aux.acc_seg": 65.3889, "loss": 0.51119, "time": 0.40157} +{"mode": "train", "epoch": 75, "iter": 47300, "lr": 4e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.30682, "decode.acc_seg": 70.12812, "aux.loss_seg": 0.21733, "aux.acc_seg": 63.96793, "loss": 0.52415, "time": 0.40135} +{"mode": "train", "epoch": 76, "iter": 47350, "lr": 4e-05, "memory": 22018, "data_time": 0.17684, "decode.loss_seg": 0.29865, "decode.acc_seg": 71.20835, "aux.loss_seg": 0.21709, "aux.acc_seg": 64.75091, "loss": 0.51574, "time": 0.56893} +{"mode": "train", "epoch": 76, "iter": 47400, "lr": 4e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.3014, "decode.acc_seg": 71.06759, "aux.loss_seg": 0.2173, "aux.acc_seg": 64.59341, "loss": 0.5187, "time": 0.40091} +{"mode": "train", "epoch": 76, "iter": 47450, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.30446, "decode.acc_seg": 71.96058, "aux.loss_seg": 0.222, "aux.acc_seg": 65.42892, "loss": 0.52646, "time": 0.40183} +{"mode": "train", "epoch": 76, "iter": 47500, "lr": 4e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.3025, "decode.acc_seg": 70.41312, "aux.loss_seg": 0.21708, "aux.acc_seg": 64.20747, "loss": 0.51959, "time": 0.40142} +{"mode": "train", "epoch": 76, "iter": 47550, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.31259, "decode.acc_seg": 71.51252, "aux.loss_seg": 0.22428, "aux.acc_seg": 64.98755, "loss": 0.53687, "time": 0.40125} +{"mode": "train", "epoch": 76, "iter": 47600, "lr": 4e-05, "memory": 22018, "data_time": 0.00947, "decode.loss_seg": 0.29228, "decode.acc_seg": 71.19842, "aux.loss_seg": 0.21119, "aux.acc_seg": 65.02673, "loss": 0.50347, "time": 0.40111} +{"mode": "train", "epoch": 76, "iter": 47650, "lr": 4e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.29242, "decode.acc_seg": 71.28957, "aux.loss_seg": 0.21156, "aux.acc_seg": 65.051, "loss": 0.50398, "time": 0.4011} +{"mode": "train", "epoch": 76, "iter": 47700, "lr": 4e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.3005, "decode.acc_seg": 71.71235, "aux.loss_seg": 0.21458, "aux.acc_seg": 65.57823, "loss": 0.51508, "time": 0.40212} +{"mode": "train", "epoch": 76, "iter": 47750, "lr": 4e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.29399, "decode.acc_seg": 71.76705, "aux.loss_seg": 0.20575, "aux.acc_seg": 65.99805, "loss": 0.49974, "time": 0.40118} +{"mode": "train", "epoch": 76, "iter": 47800, "lr": 4e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.31146, "decode.acc_seg": 70.4136, "aux.loss_seg": 0.22091, "aux.acc_seg": 64.02938, "loss": 0.53237, "time": 0.40148} +{"mode": "train", "epoch": 76, "iter": 47850, "lr": 4e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.31479, "decode.acc_seg": 71.7079, "aux.loss_seg": 0.22588, "aux.acc_seg": 65.25663, "loss": 0.54068, "time": 0.40173} +{"mode": "train", "epoch": 76, "iter": 47900, "lr": 4e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.30386, "decode.acc_seg": 70.61163, "aux.loss_seg": 0.22197, "aux.acc_seg": 63.97369, "loss": 0.52583, "time": 0.40123} +{"mode": "train", "epoch": 76, "iter": 47950, "lr": 4e-05, "memory": 22018, "data_time": 0.00996, "decode.loss_seg": 0.31282, "decode.acc_seg": 69.87991, "aux.loss_seg": 0.22265, "aux.acc_seg": 63.73693, "loss": 0.53547, "time": 0.40197} +{"mode": "val", "epoch": 77, "iter": 48000, "lr": 4e-05, "mIoU": 0.4402, "mAcc": 0.5635, "aAcc": 0.8102, "IoU.wall": 0.7436, "IoU.building": 0.8102, "IoU.sky": 0.937, "IoU.floor": 0.8022, "IoU.tree": 0.7288, "IoU.ceiling": 0.8227, "IoU.road": 0.8044, "IoU.bed ": 0.8484, "IoU.windowpane": 0.5702, "IoU.grass": 0.6687, "IoU.cabinet": 0.5779, "IoU.sidewalk": 0.6043, "IoU.person": 0.7592, "IoU.earth": 0.3517, "IoU.door": 0.4094, "IoU.table": 0.5357, "IoU.mountain": 0.5957, "IoU.plant": 0.5074, "IoU.curtain": 0.6874, "IoU.chair": 0.5134, "IoU.car": 0.8103, "IoU.water": 0.4943, "IoU.painting": 0.6926, "IoU.sofa": 0.5686, "IoU.shelf": 0.3868, "IoU.house": 0.4783, "IoU.sea": 0.4768, "IoU.mirror": 0.5657, "IoU.rug": 0.6333, "IoU.field": 0.3223, "IoU.armchair": 0.3446, "IoU.seat": 0.5996, "IoU.fence": 0.3599, "IoU.desk": 0.4307, "IoU.rock": 0.4784, "IoU.wardrobe": 0.5396, "IoU.lamp": 0.544, "IoU.bathtub": 0.7225, "IoU.railing": 0.3215, "IoU.cushion": 0.4887, "IoU.base": 0.3226, "IoU.box": 0.2236, "IoU.column": 0.3902, "IoU.signboard": 0.3181, "IoU.chest of drawers": 0.3471, "IoU.counter": 0.269, "IoU.sand": 0.3086, "IoU.sink": 0.6522, "IoU.skyscraper": 0.6575, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6629, "IoU.grandstand": 0.3484, "IoU.path": 0.2167, "IoU.stairs": 0.2032, "IoU.runway": 0.6964, "IoU.case": 0.3855, "IoU.pool table": 0.9127, "IoU.pillow": 0.5139, "IoU.screen door": 0.6498, "IoU.stairway": 0.3099, "IoU.river": 0.088, "IoU.bridge": 0.5512, "IoU.bookcase": 0.3727, "IoU.blind": NaN, "IoU.coffee table": 0.5442, "IoU.toilet": 0.7985, "IoU.flower": 0.3801, "IoU.book": 0.4368, "IoU.hill": 0.1364, "IoU.bench": 0.399, "IoU.countertop": 0.5357, "IoU.stove": 0.6323, "IoU.palm": 0.4371, "IoU.kitchen island": 0.3215, "IoU.computer": 0.5545, "IoU.swivel chair": 0.4127, "IoU.boat": 0.4831, "IoU.bar": 0.292, "IoU.arcade machine": 0.6052, "IoU.hovel": 0.3285, "IoU.bus": 0.8019, "IoU.towel": 0.5449, "IoU.light": 0.5243, "IoU.truck": 0.287, "IoU.tower": 0.0569, "IoU.chandelier": 0.6157, "IoU.awning": 0.2776, "IoU.streetlight": 0.1779, "IoU.booth": 0.4674, "IoU.television receiver": NaN, "IoU.airplane": 0.5215, "IoU.dirt track": 0.1421, "IoU.apparel": 0.3074, "IoU.pole": 0.1457, "IoU.land": 0.0033, "IoU.bannister": 0.1022, "IoU.escalator": 0.2858, "IoU.ottoman": 0.3456, "IoU.bottle": NaN, "IoU.buffet": 0.4382, "IoU.poster": 0.2027, "IoU.stage": 0.1552, "IoU.van": 0.3616, "IoU.ship": 0.5819, "IoU.fountain": 0.2129, "IoU.conveyer belt": 0.6219, "IoU.canopy": 0.1858, "IoU.washer": 0.7713, "IoU.plaything": 0.1482, "IoU.swimming pool": 0.7057, "IoU.stool": 0.3083, "IoU.barrel": 0.2725, "IoU.basket": 0.1977, "IoU.waterfall": 0.6925, "IoU.tent": 0.9409, "IoU.bag": 0.0898, "IoU.minibike": 0.6192, "IoU.cradle": NaN, "IoU.oven": 0.2522, "IoU.ball": 0.3734, "IoU.food": 0.5594, "IoU.step": 0.0751, "IoU.tank": 0.4536, "IoU.trade name": 0.2714, "IoU.microwave": 0.3846, "IoU.pot": 0.4346, "IoU.animal": NaN, "IoU.bicycle": 0.4967, "IoU.lake": 0.2966, "IoU.dishwasher": 0.4313, "IoU.screen": 0.6344, "IoU.blanket": 0.083, "IoU.sculpture": 0.4221, "IoU.hood": 0.5203, "IoU.sconce": 0.3679, "IoU.vase": 0.2896, "IoU.traffic light": 0.1853, "IoU.tray": 0.0504, "IoU.ashcan": 0.3182, "IoU.fan": 0.505, "IoU.pier": 0.3108, "IoU.crt screen": 0.0404, "IoU.plate": 0.5066, "IoU.monitor": 0.0732, "IoU.bulletin board": 0.4645, "IoU.shower": 0.0024, "IoU.radiator": 0.4988, "IoU.glass": 0.1044, "IoU.clock": 0.3542, "IoU.flag": 0.2867, "Acc.wall": 0.8612, "Acc.building": 0.921, "Acc.sky": 0.9664, "Acc.floor": 0.8918, "Acc.tree": 0.8763, "Acc.ceiling": 0.9215, "Acc.road": 0.8906, "Acc.bed ": 0.9496, "Acc.windowpane": 0.7294, "Acc.grass": 0.8036, "Acc.cabinet": 0.703, "Acc.sidewalk": 0.7689, "Acc.person": 0.8897, "Acc.earth": 0.4665, "Acc.door": 0.5407, "Acc.table": 0.7617, "Acc.mountain": 0.7475, "Acc.plant": 0.6181, "Acc.curtain": 0.8421, "Acc.chair": 0.69, "Acc.car": 0.8948, "Acc.water": 0.6164, "Acc.painting": 0.8181, "Acc.sofa": 0.7601, "Acc.shelf": 0.5483, "Acc.house": 0.6281, "Acc.sea": 0.7011, "Acc.mirror": 0.6633, "Acc.rug": 0.726, "Acc.field": 0.5272, "Acc.armchair": 0.4707, "Acc.seat": 0.8038, "Acc.fence": 0.5508, "Acc.desk": 0.6371, "Acc.rock": 0.7699, "Acc.wardrobe": 0.7429, "Acc.lamp": 0.657, "Acc.bathtub": 0.806, "Acc.railing": 0.4541, "Acc.cushion": 0.6436, "Acc.base": 0.4666, "Acc.box": 0.2738, "Acc.column": 0.5167, "Acc.signboard": 0.4732, "Acc.chest of drawers": 0.5758, "Acc.counter": 0.3013, "Acc.sand": 0.4985, "Acc.sink": 0.7614, "Acc.skyscraper": 0.7822, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7841, "Acc.grandstand": 0.6216, "Acc.path": 0.3946, "Acc.stairs": 0.2366, "Acc.runway": 0.9146, "Acc.case": 0.4799, "Acc.pool table": 0.9561, "Acc.pillow": 0.6118, "Acc.screen door": 0.746, "Acc.stairway": 0.4486, "Acc.river": 0.2345, "Acc.bridge": 0.7533, "Acc.bookcase": 0.4836, "Acc.blind": NaN, "Acc.coffee table": 0.7289, "Acc.toilet": 0.8782, "Acc.flower": 0.5872, "Acc.book": 0.6217, "Acc.hill": 0.1592, "Acc.bench": 0.48, "Acc.countertop": 0.749, "Acc.stove": 0.7758, "Acc.palm": 0.6802, "Acc.kitchen island": 0.753, "Acc.computer": 0.6945, "Acc.swivel chair": 0.5636, "Acc.boat": 0.628, "Acc.bar": 0.405, "Acc.arcade machine": 0.6473, "Acc.hovel": 0.4038, "Acc.bus": 0.8921, "Acc.towel": 0.686, "Acc.light": 0.6119, "Acc.truck": 0.3667, "Acc.tower": 0.0697, "Acc.chandelier": 0.7864, "Acc.awning": 0.3408, "Acc.streetlight": 0.2251, "Acc.booth": 0.5792, "Acc.television receiver": NaN, "Acc.airplane": 0.6199, "Acc.dirt track": 0.4004, "Acc.apparel": 0.4406, "Acc.pole": 0.2068, "Acc.land": 0.0048, "Acc.bannister": 0.1383, "Acc.escalator": 0.4013, "Acc.ottoman": 0.4897, "Acc.bottle": NaN, "Acc.buffet": 0.5403, "Acc.poster": 0.2941, "Acc.stage": 0.2318, "Acc.van": 0.4465, "Acc.ship": 0.894, "Acc.fountain": 0.2214, "Acc.conveyer belt": 0.9019, "Acc.canopy": 0.2298, "Acc.washer": 0.8187, "Acc.plaything": 0.2349, "Acc.swimming pool": 0.7556, "Acc.stool": 0.3548, "Acc.barrel": 0.6997, "Acc.basket": 0.2733, "Acc.waterfall": 0.8007, "Acc.tent": 0.9788, "Acc.bag": 0.1106, "Acc.minibike": 0.7534, "Acc.cradle": NaN, "Acc.oven": 0.439, "Acc.ball": 0.4341, "Acc.food": 0.7255, "Acc.step": 0.0904, "Acc.tank": 0.5412, "Acc.trade name": 0.3186, "Acc.microwave": 0.4291, "Acc.pot": 0.4984, "Acc.animal": NaN, "Acc.bicycle": 0.6795, "Acc.lake": 0.3886, "Acc.dishwasher": 0.5486, "Acc.screen": 0.8795, "Acc.blanket": 0.0916, "Acc.sculpture": 0.534, "Acc.hood": 0.6485, "Acc.sconce": 0.4555, "Acc.vase": 0.4453, "Acc.traffic light": 0.251, "Acc.tray": 0.094, "Acc.ashcan": 0.3795, "Acc.fan": 0.6601, "Acc.pier": 0.5463, "Acc.crt screen": 0.1084, "Acc.plate": 0.6553, "Acc.monitor": 0.1177, "Acc.bulletin board": 0.6239, "Acc.shower": 0.0027, "Acc.radiator": 0.5805, "Acc.glass": 0.1202, "Acc.clock": 0.3987, "Acc.flag": 0.3317} +{"mode": "train", "epoch": 77, "iter": 48050, "lr": 4e-05, "memory": 22018, "data_time": 1.55373, "decode.loss_seg": 0.30661, "decode.acc_seg": 70.84845, "aux.loss_seg": 0.21638, "aux.acc_seg": 64.61882, "loss": 0.52298, "time": 1.94871} +{"mode": "train", "epoch": 77, "iter": 48100, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.30786, "decode.acc_seg": 70.74287, "aux.loss_seg": 0.22165, "aux.acc_seg": 64.39893, "loss": 0.52951, "time": 0.4023} +{"mode": "train", "epoch": 77, "iter": 48150, "lr": 4e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.30893, "decode.acc_seg": 72.19921, "aux.loss_seg": 0.22198, "aux.acc_seg": 65.59692, "loss": 0.53091, "time": 0.40188} +{"mode": "train", "epoch": 77, "iter": 48200, "lr": 4e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.29973, "decode.acc_seg": 70.60428, "aux.loss_seg": 0.22133, "aux.acc_seg": 63.66047, "loss": 0.52106, "time": 0.40108} +{"mode": "train", "epoch": 77, "iter": 48250, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.30517, "decode.acc_seg": 71.46944, "aux.loss_seg": 0.22043, "aux.acc_seg": 65.11819, "loss": 0.5256, "time": 0.4015} +{"mode": "train", "epoch": 77, "iter": 48300, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.29227, "decode.acc_seg": 70.00619, "aux.loss_seg": 0.21128, "aux.acc_seg": 63.80506, "loss": 0.50355, "time": 0.40148} +{"mode": "train", "epoch": 77, "iter": 48350, "lr": 4e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.30214, "decode.acc_seg": 70.78063, "aux.loss_seg": 0.21558, "aux.acc_seg": 64.44503, "loss": 0.51772, "time": 0.40146} +{"mode": "train", "epoch": 77, "iter": 48400, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.29185, "decode.acc_seg": 71.14131, "aux.loss_seg": 0.21081, "aux.acc_seg": 64.70022, "loss": 0.50266, "time": 0.40119} +{"mode": "train", "epoch": 77, "iter": 48450, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.28931, "decode.acc_seg": 70.67611, "aux.loss_seg": 0.21118, "aux.acc_seg": 64.31144, "loss": 0.50048, "time": 0.40081} +{"mode": "train", "epoch": 77, "iter": 48500, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.29899, "decode.acc_seg": 71.09783, "aux.loss_seg": 0.21426, "aux.acc_seg": 64.94784, "loss": 0.51326, "time": 0.4012} +{"mode": "train", "epoch": 77, "iter": 48550, "lr": 4e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.31139, "decode.acc_seg": 72.24595, "aux.loss_seg": 0.22473, "aux.acc_seg": 65.47082, "loss": 0.53611, "time": 0.40211} +{"mode": "train", "epoch": 78, "iter": 48600, "lr": 4e-05, "memory": 22018, "data_time": 0.18056, "decode.loss_seg": 0.29359, "decode.acc_seg": 71.5206, "aux.loss_seg": 0.21115, "aux.acc_seg": 65.61787, "loss": 0.50474, "time": 0.57422} +{"mode": "train", "epoch": 78, "iter": 48650, "lr": 4e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.30158, "decode.acc_seg": 71.02665, "aux.loss_seg": 0.22064, "aux.acc_seg": 64.37078, "loss": 0.52222, "time": 0.40096} +{"mode": "train", "epoch": 78, "iter": 48700, "lr": 4e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.30759, "decode.acc_seg": 71.61594, "aux.loss_seg": 0.22409, "aux.acc_seg": 65.03238, "loss": 0.53168, "time": 0.40115} +{"mode": "train", "epoch": 78, "iter": 48750, "lr": 4e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.30968, "decode.acc_seg": 71.62951, "aux.loss_seg": 0.22161, "aux.acc_seg": 65.16892, "loss": 0.53128, "time": 0.40139} +{"mode": "train", "epoch": 78, "iter": 48800, "lr": 4e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.29717, "decode.acc_seg": 71.80103, "aux.loss_seg": 0.21796, "aux.acc_seg": 65.49006, "loss": 0.51513, "time": 0.4011} +{"mode": "train", "epoch": 78, "iter": 48850, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.29521, "decode.acc_seg": 72.00348, "aux.loss_seg": 0.2124, "aux.acc_seg": 65.78277, "loss": 0.50761, "time": 0.40137} +{"mode": "train", "epoch": 78, "iter": 48900, "lr": 4e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.29089, "decode.acc_seg": 71.54473, "aux.loss_seg": 0.20769, "aux.acc_seg": 65.59853, "loss": 0.49858, "time": 0.40137} +{"mode": "train", "epoch": 78, "iter": 48950, "lr": 4e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.30141, "decode.acc_seg": 71.8176, "aux.loss_seg": 0.21456, "aux.acc_seg": 65.46574, "loss": 0.51597, "time": 0.40184} +{"mode": "train", "epoch": 78, "iter": 49000, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.31409, "decode.acc_seg": 70.50261, "aux.loss_seg": 0.22557, "aux.acc_seg": 64.07891, "loss": 0.53966, "time": 0.4017} +{"mode": "train", "epoch": 78, "iter": 49050, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.3066, "decode.acc_seg": 71.81418, "aux.loss_seg": 0.21725, "aux.acc_seg": 65.62081, "loss": 0.52385, "time": 0.40149} +{"mode": "train", "epoch": 78, "iter": 49100, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.30464, "decode.acc_seg": 71.49745, "aux.loss_seg": 0.21468, "aux.acc_seg": 65.39858, "loss": 0.51932, "time": 0.40156} +{"mode": "train", "epoch": 78, "iter": 49150, "lr": 4e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.28547, "decode.acc_seg": 71.16845, "aux.loss_seg": 0.20997, "aux.acc_seg": 64.9638, "loss": 0.49545, "time": 0.40197} +{"mode": "train", "epoch": 78, "iter": 49200, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.30076, "decode.acc_seg": 70.95554, "aux.loss_seg": 0.21927, "aux.acc_seg": 64.32392, "loss": 0.52003, "time": 0.40236} +{"mode": "train", "epoch": 79, "iter": 49250, "lr": 4e-05, "memory": 22018, "data_time": 0.17666, "decode.loss_seg": 0.29465, "decode.acc_seg": 72.10623, "aux.loss_seg": 0.21311, "aux.acc_seg": 65.76616, "loss": 0.50776, "time": 0.56902} +{"mode": "train", "epoch": 79, "iter": 49300, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.28993, "decode.acc_seg": 71.38165, "aux.loss_seg": 0.20482, "aux.acc_seg": 65.5005, "loss": 0.49475, "time": 0.40013} +{"mode": "train", "epoch": 79, "iter": 49350, "lr": 4e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.29184, "decode.acc_seg": 71.41602, "aux.loss_seg": 0.21726, "aux.acc_seg": 64.8437, "loss": 0.5091, "time": 0.40055} +{"mode": "train", "epoch": 79, "iter": 49400, "lr": 4e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.29774, "decode.acc_seg": 71.33912, "aux.loss_seg": 0.21968, "aux.acc_seg": 64.94165, "loss": 0.51742, "time": 0.4009} +{"mode": "train", "epoch": 79, "iter": 49450, "lr": 4e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.29961, "decode.acc_seg": 71.53827, "aux.loss_seg": 0.2142, "aux.acc_seg": 65.1202, "loss": 0.51381, "time": 0.40102} +{"mode": "train", "epoch": 79, "iter": 49500, "lr": 4e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.29859, "decode.acc_seg": 70.60671, "aux.loss_seg": 0.213, "aux.acc_seg": 64.30131, "loss": 0.5116, "time": 0.40015} +{"mode": "train", "epoch": 79, "iter": 49550, "lr": 4e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.29676, "decode.acc_seg": 70.36394, "aux.loss_seg": 0.21315, "aux.acc_seg": 64.20663, "loss": 0.50991, "time": 0.40079} +{"mode": "train", "epoch": 79, "iter": 49600, "lr": 4e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.29483, "decode.acc_seg": 70.31228, "aux.loss_seg": 0.21433, "aux.acc_seg": 63.82467, "loss": 0.50915, "time": 0.401} +{"mode": "train", "epoch": 79, "iter": 49650, "lr": 4e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.31296, "decode.acc_seg": 71.06662, "aux.loss_seg": 0.21932, "aux.acc_seg": 65.10276, "loss": 0.53229, "time": 0.40143} +{"mode": "train", "epoch": 79, "iter": 49700, "lr": 4e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.29575, "decode.acc_seg": 71.69705, "aux.loss_seg": 0.21587, "aux.acc_seg": 65.2536, "loss": 0.51162, "time": 0.40075} +{"mode": "train", "epoch": 79, "iter": 49750, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.2966, "decode.acc_seg": 71.72952, "aux.loss_seg": 0.21589, "aux.acc_seg": 65.25613, "loss": 0.51249, "time": 0.40095} +{"mode": "train", "epoch": 79, "iter": 49800, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.29247, "decode.acc_seg": 71.33555, "aux.loss_seg": 0.21111, "aux.acc_seg": 65.09191, "loss": 0.50358, "time": 0.40083} +{"mode": "train", "epoch": 79, "iter": 49850, "lr": 4e-05, "memory": 22018, "data_time": 0.17933, "decode.loss_seg": 0.3145, "decode.acc_seg": 71.71791, "aux.loss_seg": 0.2216, "aux.acc_seg": 65.5194, "loss": 0.5361, "time": 0.57279} +{"mode": "train", "epoch": 80, "iter": 49900, "lr": 4e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.30335, "decode.acc_seg": 72.33625, "aux.loss_seg": 0.21938, "aux.acc_seg": 65.97003, "loss": 0.52273, "time": 0.40054} +{"mode": "train", "epoch": 80, "iter": 49950, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.29319, "decode.acc_seg": 70.79476, "aux.loss_seg": 0.20773, "aux.acc_seg": 65.02104, "loss": 0.50092, "time": 0.40044} +{"mode": "train", "epoch": 80, "iter": 50000, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.28617, "decode.acc_seg": 71.42255, "aux.loss_seg": 0.20469, "aux.acc_seg": 65.50541, "loss": 0.49086, "time": 0.40062} +{"mode": "train", "epoch": 80, "iter": 50050, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.29816, "decode.acc_seg": 71.97429, "aux.loss_seg": 0.21578, "aux.acc_seg": 65.62384, "loss": 0.51394, "time": 0.4005} +{"mode": "train", "epoch": 80, "iter": 50100, "lr": 4e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.29972, "decode.acc_seg": 71.74211, "aux.loss_seg": 0.21514, "aux.acc_seg": 65.45058, "loss": 0.51486, "time": 0.40077} +{"mode": "train", "epoch": 80, "iter": 50150, "lr": 4e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.29556, "decode.acc_seg": 71.52651, "aux.loss_seg": 0.21462, "aux.acc_seg": 65.12325, "loss": 0.51017, "time": 0.40082} +{"mode": "train", "epoch": 80, "iter": 50200, "lr": 4e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.2953, "decode.acc_seg": 70.90713, "aux.loss_seg": 0.20931, "aux.acc_seg": 64.9471, "loss": 0.50461, "time": 0.40076} +{"mode": "train", "epoch": 80, "iter": 50250, "lr": 4e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.29305, "decode.acc_seg": 71.17261, "aux.loss_seg": 0.21092, "aux.acc_seg": 65.01023, "loss": 0.50396, "time": 0.40083} +{"mode": "train", "epoch": 80, "iter": 50300, "lr": 4e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.29505, "decode.acc_seg": 71.78236, "aux.loss_seg": 0.21486, "aux.acc_seg": 65.70195, "loss": 0.50991, "time": 0.40114} +{"mode": "train", "epoch": 80, "iter": 50350, "lr": 4e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.29292, "decode.acc_seg": 71.43822, "aux.loss_seg": 0.20901, "aux.acc_seg": 65.3403, "loss": 0.50193, "time": 0.4015} +{"mode": "train", "epoch": 80, "iter": 50400, "lr": 4e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.30072, "decode.acc_seg": 71.02896, "aux.loss_seg": 0.21426, "aux.acc_seg": 64.66755, "loss": 0.51497, "time": 0.40101} +{"mode": "train", "epoch": 80, "iter": 50450, "lr": 4e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.31274, "decode.acc_seg": 71.29329, "aux.loss_seg": 0.22196, "aux.acc_seg": 64.64765, "loss": 0.5347, "time": 0.40087} +{"mode": "train", "epoch": 81, "iter": 50500, "lr": 4e-05, "memory": 22018, "data_time": 0.17946, "decode.loss_seg": 0.30302, "decode.acc_seg": 70.67475, "aux.loss_seg": 0.22213, "aux.acc_seg": 64.28529, "loss": 0.52516, "time": 0.57213} +{"mode": "train", "epoch": 81, "iter": 50550, "lr": 4e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.2865, "decode.acc_seg": 71.15368, "aux.loss_seg": 0.20621, "aux.acc_seg": 65.13647, "loss": 0.49271, "time": 0.40221} +{"mode": "train", "epoch": 81, "iter": 50600, "lr": 4e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.27997, "decode.acc_seg": 72.00749, "aux.loss_seg": 0.20246, "aux.acc_seg": 65.99583, "loss": 0.48242, "time": 0.4027} +{"mode": "train", "epoch": 81, "iter": 50650, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.28565, "decode.acc_seg": 72.08284, "aux.loss_seg": 0.20845, "aux.acc_seg": 66.10737, "loss": 0.4941, "time": 0.40217} +{"mode": "train", "epoch": 81, "iter": 50700, "lr": 4e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.28608, "decode.acc_seg": 71.32425, "aux.loss_seg": 0.21281, "aux.acc_seg": 64.93448, "loss": 0.49889, "time": 0.40085} +{"mode": "train", "epoch": 81, "iter": 50750, "lr": 4e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.28141, "decode.acc_seg": 70.37114, "aux.loss_seg": 0.20532, "aux.acc_seg": 64.15344, "loss": 0.48673, "time": 0.40165} +{"mode": "train", "epoch": 81, "iter": 50800, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.29197, "decode.acc_seg": 72.07224, "aux.loss_seg": 0.21645, "aux.acc_seg": 65.54069, "loss": 0.50842, "time": 0.40139} +{"mode": "train", "epoch": 81, "iter": 50850, "lr": 4e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.28732, "decode.acc_seg": 71.65085, "aux.loss_seg": 0.20948, "aux.acc_seg": 65.37834, "loss": 0.49679, "time": 0.40206} +{"mode": "train", "epoch": 81, "iter": 50900, "lr": 4e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.28359, "decode.acc_seg": 70.79015, "aux.loss_seg": 0.20495, "aux.acc_seg": 64.88251, "loss": 0.48853, "time": 0.40162} +{"mode": "train", "epoch": 81, "iter": 50950, "lr": 4e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.28656, "decode.acc_seg": 70.24999, "aux.loss_seg": 0.21281, "aux.acc_seg": 63.92367, "loss": 0.49938, "time": 0.4019} +{"mode": "train", "epoch": 81, "iter": 51000, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.28905, "decode.acc_seg": 70.38794, "aux.loss_seg": 0.21061, "aux.acc_seg": 64.04166, "loss": 0.49965, "time": 0.40135} +{"mode": "train", "epoch": 81, "iter": 51050, "lr": 4e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.29451, "decode.acc_seg": 72.22493, "aux.loss_seg": 0.21303, "aux.acc_seg": 66.09369, "loss": 0.50754, "time": 0.4015} +{"mode": "train", "epoch": 81, "iter": 51100, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.29589, "decode.acc_seg": 71.87416, "aux.loss_seg": 0.21323, "aux.acc_seg": 65.67864, "loss": 0.50912, "time": 0.40135} +{"mode": "train", "epoch": 82, "iter": 51150, "lr": 4e-05, "memory": 22018, "data_time": 0.17315, "decode.loss_seg": 0.29279, "decode.acc_seg": 71.35999, "aux.loss_seg": 0.21447, "aux.acc_seg": 65.06362, "loss": 0.50726, "time": 0.56784} +{"mode": "train", "epoch": 82, "iter": 51200, "lr": 4e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.28921, "decode.acc_seg": 71.54196, "aux.loss_seg": 0.21171, "aux.acc_seg": 65.28051, "loss": 0.50092, "time": 0.40271} +{"mode": "train", "epoch": 82, "iter": 51250, "lr": 4e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.29267, "decode.acc_seg": 71.57228, "aux.loss_seg": 0.21643, "aux.acc_seg": 65.13137, "loss": 0.50909, "time": 0.40253} +{"mode": "train", "epoch": 82, "iter": 51300, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.28191, "decode.acc_seg": 70.61612, "aux.loss_seg": 0.20542, "aux.acc_seg": 64.51327, "loss": 0.48733, "time": 0.40206} +{"mode": "train", "epoch": 82, "iter": 51350, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.30048, "decode.acc_seg": 71.48443, "aux.loss_seg": 0.20681, "aux.acc_seg": 65.55224, "loss": 0.50729, "time": 0.40249} +{"mode": "train", "epoch": 82, "iter": 51400, "lr": 4e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.29329, "decode.acc_seg": 72.10508, "aux.loss_seg": 0.20762, "aux.acc_seg": 66.33143, "loss": 0.5009, "time": 0.40254} +{"mode": "train", "epoch": 82, "iter": 51450, "lr": 4e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.28093, "decode.acc_seg": 69.34741, "aux.loss_seg": 0.20962, "aux.acc_seg": 62.93722, "loss": 0.49054, "time": 0.40234} +{"mode": "train", "epoch": 82, "iter": 51500, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.28884, "decode.acc_seg": 72.15715, "aux.loss_seg": 0.21015, "aux.acc_seg": 65.87527, "loss": 0.49899, "time": 0.4021} +{"mode": "train", "epoch": 82, "iter": 51550, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.28681, "decode.acc_seg": 71.58304, "aux.loss_seg": 0.20926, "aux.acc_seg": 65.07795, "loss": 0.49607, "time": 0.40256} +{"mode": "train", "epoch": 82, "iter": 51600, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.28889, "decode.acc_seg": 72.23783, "aux.loss_seg": 0.21484, "aux.acc_seg": 65.54172, "loss": 0.50374, "time": 0.40171} +{"mode": "train", "epoch": 82, "iter": 51650, "lr": 4e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.29137, "decode.acc_seg": 69.84003, "aux.loss_seg": 0.21285, "aux.acc_seg": 63.39051, "loss": 0.50422, "time": 0.40227} +{"mode": "train", "epoch": 82, "iter": 51700, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.30818, "decode.acc_seg": 70.91914, "aux.loss_seg": 0.22285, "aux.acc_seg": 64.40828, "loss": 0.53103, "time": 0.40179} +{"mode": "train", "epoch": 83, "iter": 51750, "lr": 4e-05, "memory": 22018, "data_time": 0.17924, "decode.loss_seg": 0.29377, "decode.acc_seg": 70.68118, "aux.loss_seg": 0.20994, "aux.acc_seg": 64.66642, "loss": 0.50371, "time": 0.57272} +{"mode": "train", "epoch": 83, "iter": 51800, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.28697, "decode.acc_seg": 71.6754, "aux.loss_seg": 0.20744, "aux.acc_seg": 65.48457, "loss": 0.49441, "time": 0.40083} +{"mode": "train", "epoch": 83, "iter": 51850, "lr": 4e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.29063, "decode.acc_seg": 71.16337, "aux.loss_seg": 0.21145, "aux.acc_seg": 64.83201, "loss": 0.50207, "time": 0.40029} +{"mode": "train", "epoch": 83, "iter": 51900, "lr": 4e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.2846, "decode.acc_seg": 72.19523, "aux.loss_seg": 0.20581, "aux.acc_seg": 66.06311, "loss": 0.49041, "time": 0.40049} +{"mode": "train", "epoch": 83, "iter": 51950, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.28832, "decode.acc_seg": 71.50024, "aux.loss_seg": 0.21017, "aux.acc_seg": 65.18572, "loss": 0.49849, "time": 0.40036} +{"mode": "train", "epoch": 83, "iter": 52000, "lr": 4e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.27572, "decode.acc_seg": 70.95034, "aux.loss_seg": 0.20039, "aux.acc_seg": 65.00607, "loss": 0.47611, "time": 0.40069} +{"mode": "train", "epoch": 83, "iter": 52050, "lr": 4e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.28299, "decode.acc_seg": 71.57326, "aux.loss_seg": 0.20845, "aux.acc_seg": 65.26396, "loss": 0.49144, "time": 0.40092} +{"mode": "train", "epoch": 83, "iter": 52100, "lr": 4e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.30178, "decode.acc_seg": 71.0325, "aux.loss_seg": 0.2174, "aux.acc_seg": 64.71491, "loss": 0.51917, "time": 0.40133} +{"mode": "train", "epoch": 83, "iter": 52150, "lr": 4e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.28731, "decode.acc_seg": 72.07575, "aux.loss_seg": 0.20996, "aux.acc_seg": 65.88269, "loss": 0.49726, "time": 0.40009} +{"mode": "train", "epoch": 83, "iter": 52200, "lr": 4e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.29298, "decode.acc_seg": 71.0278, "aux.loss_seg": 0.21223, "aux.acc_seg": 64.95452, "loss": 0.50521, "time": 0.40149} +{"mode": "train", "epoch": 83, "iter": 52250, "lr": 4e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.29042, "decode.acc_seg": 71.69093, "aux.loss_seg": 0.20689, "aux.acc_seg": 65.66289, "loss": 0.49731, "time": 0.40071} +{"mode": "train", "epoch": 83, "iter": 52300, "lr": 4e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.29498, "decode.acc_seg": 71.18781, "aux.loss_seg": 0.20894, "aux.acc_seg": 65.1041, "loss": 0.50392, "time": 0.40146} +{"mode": "train", "epoch": 83, "iter": 52350, "lr": 4e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.28973, "decode.acc_seg": 71.7933, "aux.loss_seg": 0.21432, "aux.acc_seg": 65.13594, "loss": 0.50405, "time": 0.40139} +{"mode": "train", "epoch": 84, "iter": 52400, "lr": 4e-05, "memory": 22018, "data_time": 0.17039, "decode.loss_seg": 0.28732, "decode.acc_seg": 71.68571, "aux.loss_seg": 0.21397, "aux.acc_seg": 65.12044, "loss": 0.50129, "time": 0.56313} +{"mode": "train", "epoch": 84, "iter": 52450, "lr": 4e-05, "memory": 22018, "data_time": 0.01031, "decode.loss_seg": 0.27945, "decode.acc_seg": 71.34548, "aux.loss_seg": 0.20528, "aux.acc_seg": 65.43027, "loss": 0.48472, "time": 0.40198} +{"mode": "train", "epoch": 84, "iter": 52500, "lr": 4e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.28791, "decode.acc_seg": 71.49567, "aux.loss_seg": 0.21501, "aux.acc_seg": 64.9191, "loss": 0.50292, "time": 0.40231} +{"mode": "train", "epoch": 84, "iter": 52550, "lr": 4e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.2951, "decode.acc_seg": 70.96011, "aux.loss_seg": 0.21507, "aux.acc_seg": 64.68104, "loss": 0.51017, "time": 0.40178} +{"mode": "train", "epoch": 84, "iter": 52600, "lr": 4e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.27654, "decode.acc_seg": 71.92419, "aux.loss_seg": 0.20519, "aux.acc_seg": 65.69932, "loss": 0.48172, "time": 0.40165} +{"mode": "train", "epoch": 84, "iter": 52650, "lr": 4e-05, "memory": 22018, "data_time": 0.01056, "decode.loss_seg": 0.28597, "decode.acc_seg": 72.17658, "aux.loss_seg": 0.20647, "aux.acc_seg": 65.96633, "loss": 0.49244, "time": 0.4019} +{"mode": "train", "epoch": 84, "iter": 52700, "lr": 4e-05, "memory": 22018, "data_time": 0.01036, "decode.loss_seg": 0.28462, "decode.acc_seg": 72.05178, "aux.loss_seg": 0.20437, "aux.acc_seg": 66.07348, "loss": 0.489, "time": 0.40203} +{"mode": "train", "epoch": 84, "iter": 52750, "lr": 4e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.30042, "decode.acc_seg": 70.62457, "aux.loss_seg": 0.2115, "aux.acc_seg": 64.62374, "loss": 0.51191, "time": 0.40219} +{"mode": "train", "epoch": 84, "iter": 52800, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.28961, "decode.acc_seg": 72.05013, "aux.loss_seg": 0.21167, "aux.acc_seg": 65.78142, "loss": 0.50128, "time": 0.40138} +{"mode": "train", "epoch": 84, "iter": 52850, "lr": 4e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.29633, "decode.acc_seg": 71.79342, "aux.loss_seg": 0.21586, "aux.acc_seg": 65.59034, "loss": 0.51219, "time": 0.40164} +{"mode": "train", "epoch": 84, "iter": 52900, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.2925, "decode.acc_seg": 71.68514, "aux.loss_seg": 0.21252, "aux.acc_seg": 65.50356, "loss": 0.50502, "time": 0.40191} +{"mode": "train", "epoch": 84, "iter": 52950, "lr": 4e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.30417, "decode.acc_seg": 70.32067, "aux.loss_seg": 0.21254, "aux.acc_seg": 64.15468, "loss": 0.51671, "time": 0.40232} +{"mode": "train", "epoch": 84, "iter": 53000, "lr": 4e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.29599, "decode.acc_seg": 71.84745, "aux.loss_seg": 0.21637, "aux.acc_seg": 65.58453, "loss": 0.51236, "time": 0.4019} +{"mode": "train", "epoch": 85, "iter": 53050, "lr": 4e-05, "memory": 22018, "data_time": 0.17452, "decode.loss_seg": 0.29355, "decode.acc_seg": 72.34113, "aux.loss_seg": 0.20924, "aux.acc_seg": 66.28924, "loss": 0.5028, "time": 0.56701} +{"mode": "train", "epoch": 85, "iter": 53100, "lr": 4e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.28741, "decode.acc_seg": 70.78233, "aux.loss_seg": 0.21082, "aux.acc_seg": 64.45795, "loss": 0.49823, "time": 0.40067} +{"mode": "train", "epoch": 85, "iter": 53150, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.28264, "decode.acc_seg": 71.94438, "aux.loss_seg": 0.20622, "aux.acc_seg": 65.95329, "loss": 0.48886, "time": 0.40053} +{"mode": "train", "epoch": 85, "iter": 53200, "lr": 4e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.27821, "decode.acc_seg": 71.18231, "aux.loss_seg": 0.20499, "aux.acc_seg": 64.96088, "loss": 0.4832, "time": 0.40132} +{"mode": "train", "epoch": 85, "iter": 53250, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.28803, "decode.acc_seg": 72.27441, "aux.loss_seg": 0.2167, "aux.acc_seg": 65.67706, "loss": 0.50473, "time": 0.40083} +{"mode": "train", "epoch": 85, "iter": 53300, "lr": 4e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.29147, "decode.acc_seg": 72.06052, "aux.loss_seg": 0.21665, "aux.acc_seg": 65.3863, "loss": 0.50812, "time": 0.40096} +{"mode": "train", "epoch": 85, "iter": 53350, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.28436, "decode.acc_seg": 72.37133, "aux.loss_seg": 0.20828, "aux.acc_seg": 66.05355, "loss": 0.49263, "time": 0.40133} +{"mode": "train", "epoch": 85, "iter": 53400, "lr": 4e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.28833, "decode.acc_seg": 71.50896, "aux.loss_seg": 0.20994, "aux.acc_seg": 65.1292, "loss": 0.49827, "time": 0.40181} +{"mode": "train", "epoch": 85, "iter": 53450, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.27998, "decode.acc_seg": 71.05199, "aux.loss_seg": 0.20861, "aux.acc_seg": 64.73241, "loss": 0.48858, "time": 0.40143} +{"mode": "train", "epoch": 85, "iter": 53500, "lr": 4e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.29313, "decode.acc_seg": 71.35513, "aux.loss_seg": 0.21255, "aux.acc_seg": 64.9696, "loss": 0.50569, "time": 0.40232} +{"mode": "train", "epoch": 85, "iter": 53550, "lr": 4e-05, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.29422, "decode.acc_seg": 71.93478, "aux.loss_seg": 0.20881, "aux.acc_seg": 65.61967, "loss": 0.50302, "time": 0.40193} +{"mode": "train", "epoch": 85, "iter": 53600, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.29198, "decode.acc_seg": 71.68511, "aux.loss_seg": 0.20778, "aux.acc_seg": 65.56456, "loss": 0.49975, "time": 0.4013} +{"mode": "train", "epoch": 86, "iter": 53650, "lr": 4e-05, "memory": 22018, "data_time": 0.17799, "decode.loss_seg": 0.2785, "decode.acc_seg": 71.30159, "aux.loss_seg": 0.20746, "aux.acc_seg": 65.00081, "loss": 0.48596, "time": 0.56983} +{"mode": "train", "epoch": 86, "iter": 53700, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.278, "decode.acc_seg": 71.15379, "aux.loss_seg": 0.20448, "aux.acc_seg": 65.03076, "loss": 0.48248, "time": 0.39929} +{"mode": "train", "epoch": 86, "iter": 53750, "lr": 4e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.28777, "decode.acc_seg": 72.86912, "aux.loss_seg": 0.21823, "aux.acc_seg": 65.97844, "loss": 0.506, "time": 0.39973} +{"mode": "train", "epoch": 86, "iter": 53800, "lr": 4e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.28219, "decode.acc_seg": 71.53183, "aux.loss_seg": 0.20895, "aux.acc_seg": 65.23027, "loss": 0.49114, "time": 0.40027} +{"mode": "train", "epoch": 86, "iter": 53850, "lr": 4e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.28006, "decode.acc_seg": 71.92839, "aux.loss_seg": 0.20087, "aux.acc_seg": 66.16718, "loss": 0.48093, "time": 0.40135} +{"mode": "train", "epoch": 86, "iter": 53900, "lr": 4e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.29738, "decode.acc_seg": 71.79804, "aux.loss_seg": 0.21799, "aux.acc_seg": 65.40723, "loss": 0.51536, "time": 0.40079} +{"mode": "train", "epoch": 86, "iter": 53950, "lr": 4e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.2787, "decode.acc_seg": 72.51477, "aux.loss_seg": 0.20474, "aux.acc_seg": 66.17012, "loss": 0.48344, "time": 0.40064} +{"mode": "train", "epoch": 86, "iter": 54000, "lr": 4e-05, "memory": 22018, "data_time": 0.00693, "decode.loss_seg": 0.27104, "decode.acc_seg": 71.38664, "aux.loss_seg": 0.20666, "aux.acc_seg": 64.81428, "loss": 0.4777, "time": 0.40085} +{"mode": "train", "epoch": 86, "iter": 54050, "lr": 4e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.28107, "decode.acc_seg": 70.06901, "aux.loss_seg": 0.20893, "aux.acc_seg": 63.57158, "loss": 0.49, "time": 0.40137} +{"mode": "train", "epoch": 86, "iter": 54100, "lr": 4e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.2658, "decode.acc_seg": 70.74011, "aux.loss_seg": 0.20118, "aux.acc_seg": 64.57837, "loss": 0.46698, "time": 0.40007} +{"mode": "train", "epoch": 86, "iter": 54150, "lr": 4e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.28683, "decode.acc_seg": 71.22193, "aux.loss_seg": 0.2049, "aux.acc_seg": 65.14659, "loss": 0.49173, "time": 0.40038} +{"mode": "train", "epoch": 86, "iter": 54200, "lr": 4e-05, "memory": 22018, "data_time": 0.00724, "decode.loss_seg": 0.28471, "decode.acc_seg": 70.62242, "aux.loss_seg": 0.20519, "aux.acc_seg": 64.73489, "loss": 0.48989, "time": 0.40071} +{"mode": "train", "epoch": 86, "iter": 54250, "lr": 4e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.28438, "decode.acc_seg": 71.15344, "aux.loss_seg": 0.19977, "aux.acc_seg": 65.46949, "loss": 0.48415, "time": 0.40094} +{"mode": "train", "epoch": 87, "iter": 54300, "lr": 4e-05, "memory": 22018, "data_time": 0.17302, "decode.loss_seg": 0.28118, "decode.acc_seg": 71.65894, "aux.loss_seg": 0.20955, "aux.acc_seg": 65.34109, "loss": 0.49073, "time": 0.56612} +{"mode": "train", "epoch": 87, "iter": 54350, "lr": 4e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.28428, "decode.acc_seg": 72.00891, "aux.loss_seg": 0.20759, "aux.acc_seg": 65.9464, "loss": 0.49187, "time": 0.40193} +{"mode": "train", "epoch": 87, "iter": 54400, "lr": 4e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.28047, "decode.acc_seg": 71.81436, "aux.loss_seg": 0.20517, "aux.acc_seg": 65.64967, "loss": 0.48563, "time": 0.40074} +{"mode": "train", "epoch": 87, "iter": 54450, "lr": 4e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.2912, "decode.acc_seg": 71.67176, "aux.loss_seg": 0.21314, "aux.acc_seg": 65.27642, "loss": 0.50434, "time": 0.40193} +{"mode": "train", "epoch": 87, "iter": 54500, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.27436, "decode.acc_seg": 71.65848, "aux.loss_seg": 0.1999, "aux.acc_seg": 65.62024, "loss": 0.47426, "time": 0.40199} +{"mode": "train", "epoch": 87, "iter": 54550, "lr": 4e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.28525, "decode.acc_seg": 71.84649, "aux.loss_seg": 0.21362, "aux.acc_seg": 65.23129, "loss": 0.49887, "time": 0.40154} +{"mode": "train", "epoch": 87, "iter": 54600, "lr": 4e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.27572, "decode.acc_seg": 71.47403, "aux.loss_seg": 0.2069, "aux.acc_seg": 64.87937, "loss": 0.48262, "time": 0.40076} +{"mode": "train", "epoch": 87, "iter": 54650, "lr": 4e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.26781, "decode.acc_seg": 71.38105, "aux.loss_seg": 0.20096, "aux.acc_seg": 65.09071, "loss": 0.46877, "time": 0.40065} +{"mode": "train", "epoch": 87, "iter": 54700, "lr": 4e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.29187, "decode.acc_seg": 71.46606, "aux.loss_seg": 0.21064, "aux.acc_seg": 65.32814, "loss": 0.50251, "time": 0.40073} +{"mode": "train", "epoch": 87, "iter": 54750, "lr": 4e-05, "memory": 22018, "data_time": 0.00798, "decode.loss_seg": 0.28112, "decode.acc_seg": 72.00263, "aux.loss_seg": 0.20234, "aux.acc_seg": 66.05603, "loss": 0.48346, "time": 0.40072} +{"mode": "train", "epoch": 87, "iter": 54800, "lr": 4e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.27962, "decode.acc_seg": 71.02291, "aux.loss_seg": 0.20209, "aux.acc_seg": 64.94766, "loss": 0.48171, "time": 0.4003} +{"mode": "train", "epoch": 87, "iter": 54850, "lr": 4e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.29596, "decode.acc_seg": 71.95217, "aux.loss_seg": 0.2188, "aux.acc_seg": 65.42416, "loss": 0.51476, "time": 0.40046} +{"mode": "train", "epoch": 88, "iter": 54900, "lr": 4e-05, "memory": 22018, "data_time": 0.17865, "decode.loss_seg": 0.2799, "decode.acc_seg": 71.40853, "aux.loss_seg": 0.20476, "aux.acc_seg": 65.30268, "loss": 0.48466, "time": 0.57109} +{"mode": "train", "epoch": 88, "iter": 54950, "lr": 4e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.26864, "decode.acc_seg": 71.35813, "aux.loss_seg": 0.19713, "aux.acc_seg": 65.39591, "loss": 0.46577, "time": 0.40115} +{"mode": "train", "epoch": 88, "iter": 55000, "lr": 4e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.27357, "decode.acc_seg": 71.84713, "aux.loss_seg": 0.20569, "aux.acc_seg": 65.40423, "loss": 0.47926, "time": 0.40028} +{"mode": "train", "epoch": 88, "iter": 55050, "lr": 4e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.28544, "decode.acc_seg": 71.82462, "aux.loss_seg": 0.21071, "aux.acc_seg": 65.46685, "loss": 0.49616, "time": 0.4005} +{"mode": "train", "epoch": 88, "iter": 55100, "lr": 4e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.29036, "decode.acc_seg": 72.1615, "aux.loss_seg": 0.21251, "aux.acc_seg": 65.80633, "loss": 0.50288, "time": 0.40015} +{"mode": "train", "epoch": 88, "iter": 55150, "lr": 4e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.28994, "decode.acc_seg": 71.94388, "aux.loss_seg": 0.21017, "aux.acc_seg": 65.54838, "loss": 0.50011, "time": 0.40141} +{"mode": "train", "epoch": 88, "iter": 55200, "lr": 4e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.28166, "decode.acc_seg": 71.80417, "aux.loss_seg": 0.21044, "aux.acc_seg": 65.43492, "loss": 0.4921, "time": 0.40044} +{"mode": "train", "epoch": 88, "iter": 55250, "lr": 4e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.29138, "decode.acc_seg": 72.37579, "aux.loss_seg": 0.20953, "aux.acc_seg": 66.52597, "loss": 0.50091, "time": 0.40127} +{"mode": "train", "epoch": 88, "iter": 55300, "lr": 4e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.29029, "decode.acc_seg": 72.12671, "aux.loss_seg": 0.21296, "aux.acc_seg": 65.71803, "loss": 0.50325, "time": 0.40009} +{"mode": "train", "epoch": 88, "iter": 55350, "lr": 4e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.28154, "decode.acc_seg": 71.1605, "aux.loss_seg": 0.20675, "aux.acc_seg": 64.99176, "loss": 0.48829, "time": 0.40113} +{"mode": "train", "epoch": 88, "iter": 55400, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.28581, "decode.acc_seg": 71.22814, "aux.loss_seg": 0.21058, "aux.acc_seg": 64.71451, "loss": 0.4964, "time": 0.40179} +{"mode": "train", "epoch": 88, "iter": 55450, "lr": 4e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.28367, "decode.acc_seg": 71.22684, "aux.loss_seg": 0.20783, "aux.acc_seg": 65.01593, "loss": 0.49149, "time": 0.40239} +{"mode": "train", "epoch": 88, "iter": 55500, "lr": 4e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.28249, "decode.acc_seg": 70.58794, "aux.loss_seg": 0.21011, "aux.acc_seg": 64.32407, "loss": 0.4926, "time": 0.40107} +{"mode": "train", "epoch": 89, "iter": 55550, "lr": 4e-05, "memory": 22018, "data_time": 0.17272, "decode.loss_seg": 0.27662, "decode.acc_seg": 71.69257, "aux.loss_seg": 0.20181, "aux.acc_seg": 65.45924, "loss": 0.47844, "time": 0.56575} +{"mode": "train", "epoch": 89, "iter": 55600, "lr": 4e-05, "memory": 22018, "data_time": 0.01077, "decode.loss_seg": 0.27715, "decode.acc_seg": 71.73441, "aux.loss_seg": 0.20017, "aux.acc_seg": 65.74909, "loss": 0.47732, "time": 0.40274} +{"mode": "train", "epoch": 89, "iter": 55650, "lr": 4e-05, "memory": 22018, "data_time": 0.01089, "decode.loss_seg": 0.28867, "decode.acc_seg": 71.45372, "aux.loss_seg": 0.21336, "aux.acc_seg": 65.10059, "loss": 0.50204, "time": 0.40289} +{"mode": "train", "epoch": 89, "iter": 55700, "lr": 4e-05, "memory": 22018, "data_time": 0.01081, "decode.loss_seg": 0.26875, "decode.acc_seg": 71.18806, "aux.loss_seg": 0.19825, "aux.acc_seg": 65.09331, "loss": 0.467, "time": 0.40312} +{"mode": "train", "epoch": 89, "iter": 55750, "lr": 4e-05, "memory": 22018, "data_time": 0.01084, "decode.loss_seg": 0.2755, "decode.acc_seg": 72.3657, "aux.loss_seg": 0.20012, "aux.acc_seg": 66.44779, "loss": 0.47562, "time": 0.4025} +{"mode": "train", "epoch": 89, "iter": 55800, "lr": 4e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.28064, "decode.acc_seg": 71.34961, "aux.loss_seg": 0.20602, "aux.acc_seg": 65.05503, "loss": 0.48666, "time": 0.40192} +{"mode": "train", "epoch": 89, "iter": 55850, "lr": 4e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.26867, "decode.acc_seg": 71.96051, "aux.loss_seg": 0.20052, "aux.acc_seg": 65.77463, "loss": 0.4692, "time": 0.40152} +{"mode": "train", "epoch": 89, "iter": 55900, "lr": 4e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.27928, "decode.acc_seg": 72.46842, "aux.loss_seg": 0.20537, "aux.acc_seg": 66.40271, "loss": 0.48465, "time": 0.40157} +{"mode": "train", "epoch": 89, "iter": 55950, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.27862, "decode.acc_seg": 71.80512, "aux.loss_seg": 0.21066, "aux.acc_seg": 65.1277, "loss": 0.48929, "time": 0.40144} +{"mode": "train", "epoch": 89, "iter": 56000, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.2793, "decode.acc_seg": 71.26922, "aux.loss_seg": 0.20599, "aux.acc_seg": 64.99925, "loss": 0.48529, "time": 0.40134} +{"mode": "train", "epoch": 89, "iter": 56050, "lr": 4e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.28731, "decode.acc_seg": 72.00233, "aux.loss_seg": 0.21135, "aux.acc_seg": 65.72009, "loss": 0.49866, "time": 0.40215} +{"mode": "train", "epoch": 89, "iter": 56100, "lr": 4e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.27769, "decode.acc_seg": 71.97516, "aux.loss_seg": 0.2, "aux.acc_seg": 66.1631, "loss": 0.47769, "time": 0.40235} +{"mode": "train", "epoch": 89, "iter": 56150, "lr": 4e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.28937, "decode.acc_seg": 71.56868, "aux.loss_seg": 0.21128, "aux.acc_seg": 65.28474, "loss": 0.50065, "time": 0.40263} +{"mode": "train", "epoch": 90, "iter": 56200, "lr": 4e-05, "memory": 22018, "data_time": 0.17097, "decode.loss_seg": 0.28854, "decode.acc_seg": 72.43907, "aux.loss_seg": 0.20964, "aux.acc_seg": 66.03785, "loss": 0.49818, "time": 0.56345} +{"mode": "train", "epoch": 90, "iter": 56250, "lr": 4e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.28599, "decode.acc_seg": 71.47525, "aux.loss_seg": 0.20995, "aux.acc_seg": 65.09427, "loss": 0.49594, "time": 0.40054} +{"mode": "train", "epoch": 90, "iter": 56300, "lr": 4e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.27475, "decode.acc_seg": 71.84967, "aux.loss_seg": 0.20715, "aux.acc_seg": 65.37191, "loss": 0.4819, "time": 0.40039} +{"mode": "train", "epoch": 90, "iter": 56350, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.28031, "decode.acc_seg": 72.37075, "aux.loss_seg": 0.20848, "aux.acc_seg": 65.89421, "loss": 0.48878, "time": 0.4014} +{"mode": "train", "epoch": 90, "iter": 56400, "lr": 4e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.28101, "decode.acc_seg": 71.81652, "aux.loss_seg": 0.20537, "aux.acc_seg": 65.56906, "loss": 0.48637, "time": 0.40228} +{"mode": "train", "epoch": 90, "iter": 56450, "lr": 4e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.27388, "decode.acc_seg": 71.74032, "aux.loss_seg": 0.20675, "aux.acc_seg": 65.24867, "loss": 0.48063, "time": 0.401} +{"mode": "train", "epoch": 90, "iter": 56500, "lr": 4e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.27299, "decode.acc_seg": 71.85523, "aux.loss_seg": 0.20637, "aux.acc_seg": 65.60962, "loss": 0.47936, "time": 0.40078} +{"mode": "train", "epoch": 90, "iter": 56550, "lr": 4e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.28165, "decode.acc_seg": 72.13851, "aux.loss_seg": 0.20166, "aux.acc_seg": 66.29105, "loss": 0.48332, "time": 0.4012} +{"mode": "train", "epoch": 90, "iter": 56600, "lr": 4e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.28624, "decode.acc_seg": 71.00427, "aux.loss_seg": 0.20712, "aux.acc_seg": 64.68636, "loss": 0.49337, "time": 0.4013} +{"mode": "train", "epoch": 90, "iter": 56650, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.28748, "decode.acc_seg": 72.02241, "aux.loss_seg": 0.21085, "aux.acc_seg": 65.49028, "loss": 0.49833, "time": 0.40144} +{"mode": "train", "epoch": 90, "iter": 56700, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.28257, "decode.acc_seg": 71.09226, "aux.loss_seg": 0.20284, "aux.acc_seg": 65.16266, "loss": 0.48541, "time": 0.40062} +{"mode": "train", "epoch": 90, "iter": 56750, "lr": 4e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.27636, "decode.acc_seg": 70.90934, "aux.loss_seg": 0.20664, "aux.acc_seg": 64.69796, "loss": 0.483, "time": 0.40246} +{"mode": "train", "epoch": 91, "iter": 56800, "lr": 4e-05, "memory": 22018, "data_time": 0.17188, "decode.loss_seg": 0.27408, "decode.acc_seg": 71.25527, "aux.loss_seg": 0.20271, "aux.acc_seg": 64.99944, "loss": 0.47679, "time": 0.56522} +{"mode": "train", "epoch": 91, "iter": 56850, "lr": 4e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.28862, "decode.acc_seg": 71.83321, "aux.loss_seg": 0.2115, "aux.acc_seg": 65.43043, "loss": 0.50012, "time": 0.40108} +{"mode": "train", "epoch": 91, "iter": 56900, "lr": 4e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.29446, "decode.acc_seg": 71.49108, "aux.loss_seg": 0.21463, "aux.acc_seg": 64.96129, "loss": 0.50909, "time": 0.40141} +{"mode": "train", "epoch": 91, "iter": 56950, "lr": 4e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.27529, "decode.acc_seg": 71.39132, "aux.loss_seg": 0.20352, "aux.acc_seg": 65.39646, "loss": 0.47881, "time": 0.40201} +{"mode": "train", "epoch": 91, "iter": 57000, "lr": 4e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.27088, "decode.acc_seg": 71.75205, "aux.loss_seg": 0.20301, "aux.acc_seg": 65.56406, "loss": 0.47389, "time": 0.40165} +{"mode": "train", "epoch": 91, "iter": 57050, "lr": 4e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.27192, "decode.acc_seg": 70.75347, "aux.loss_seg": 0.19565, "aux.acc_seg": 65.13662, "loss": 0.46757, "time": 0.40209} +{"mode": "train", "epoch": 91, "iter": 57100, "lr": 4e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.27922, "decode.acc_seg": 72.096, "aux.loss_seg": 0.20538, "aux.acc_seg": 65.83794, "loss": 0.4846, "time": 0.40264} +{"mode": "train", "epoch": 91, "iter": 57150, "lr": 4e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.27696, "decode.acc_seg": 72.31935, "aux.loss_seg": 0.20462, "aux.acc_seg": 66.04133, "loss": 0.48158, "time": 0.40186} +{"mode": "train", "epoch": 91, "iter": 57200, "lr": 4e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.27458, "decode.acc_seg": 71.60337, "aux.loss_seg": 0.20527, "aux.acc_seg": 65.3847, "loss": 0.47985, "time": 0.40121} +{"mode": "train", "epoch": 91, "iter": 57250, "lr": 4e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.27877, "decode.acc_seg": 72.17006, "aux.loss_seg": 0.20157, "aux.acc_seg": 66.11607, "loss": 0.48034, "time": 0.4017} +{"mode": "train", "epoch": 91, "iter": 57300, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.27208, "decode.acc_seg": 72.25216, "aux.loss_seg": 0.20432, "aux.acc_seg": 65.82569, "loss": 0.47639, "time": 0.40156} +{"mode": "train", "epoch": 91, "iter": 57350, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.2788, "decode.acc_seg": 71.50217, "aux.loss_seg": 0.20746, "aux.acc_seg": 65.00071, "loss": 0.48626, "time": 0.40142} +{"mode": "train", "epoch": 91, "iter": 57400, "lr": 4e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.2859, "decode.acc_seg": 70.96292, "aux.loss_seg": 0.20781, "aux.acc_seg": 64.6055, "loss": 0.49371, "time": 0.40225} +{"mode": "train", "epoch": 92, "iter": 57450, "lr": 4e-05, "memory": 22018, "data_time": 0.17118, "decode.loss_seg": 0.27531, "decode.acc_seg": 71.34141, "aux.loss_seg": 0.20179, "aux.acc_seg": 65.42122, "loss": 0.4771, "time": 0.56485} +{"mode": "train", "epoch": 92, "iter": 57500, "lr": 4e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.27714, "decode.acc_seg": 71.71867, "aux.loss_seg": 0.2048, "aux.acc_seg": 65.60852, "loss": 0.48194, "time": 0.40064} +{"mode": "train", "epoch": 92, "iter": 57550, "lr": 4e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.27018, "decode.acc_seg": 71.21557, "aux.loss_seg": 0.19832, "aux.acc_seg": 65.37275, "loss": 0.46849, "time": 0.40075} +{"mode": "train", "epoch": 92, "iter": 57600, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.27323, "decode.acc_seg": 71.36702, "aux.loss_seg": 0.203, "aux.acc_seg": 65.21339, "loss": 0.47623, "time": 0.40152} +{"mode": "train", "epoch": 92, "iter": 57650, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.25838, "decode.acc_seg": 72.61632, "aux.loss_seg": 0.19473, "aux.acc_seg": 66.52909, "loss": 0.45311, "time": 0.40162} +{"mode": "train", "epoch": 92, "iter": 57700, "lr": 4e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.27109, "decode.acc_seg": 71.82394, "aux.loss_seg": 0.20392, "aux.acc_seg": 65.50908, "loss": 0.47501, "time": 0.40123} +{"mode": "train", "epoch": 92, "iter": 57750, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.28418, "decode.acc_seg": 70.84677, "aux.loss_seg": 0.20741, "aux.acc_seg": 64.70335, "loss": 0.49159, "time": 0.40084} +{"mode": "train", "epoch": 92, "iter": 57800, "lr": 4e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.28441, "decode.acc_seg": 72.07829, "aux.loss_seg": 0.20704, "aux.acc_seg": 65.99767, "loss": 0.49146, "time": 0.40039} +{"mode": "train", "epoch": 92, "iter": 57850, "lr": 4e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.26892, "decode.acc_seg": 72.04198, "aux.loss_seg": 0.19497, "aux.acc_seg": 66.42059, "loss": 0.46389, "time": 0.40039} +{"mode": "train", "epoch": 92, "iter": 57900, "lr": 4e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.26301, "decode.acc_seg": 71.71766, "aux.loss_seg": 0.19565, "aux.acc_seg": 65.77367, "loss": 0.45866, "time": 0.40139} +{"mode": "train", "epoch": 92, "iter": 57950, "lr": 4e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.28219, "decode.acc_seg": 72.09371, "aux.loss_seg": 0.20507, "aux.acc_seg": 65.96865, "loss": 0.48726, "time": 0.40137} +{"mode": "train", "epoch": 92, "iter": 58000, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.27989, "decode.acc_seg": 70.45853, "aux.loss_seg": 0.2035, "aux.acc_seg": 64.4255, "loss": 0.4834, "time": 0.40119} +{"mode": "train", "epoch": 92, "iter": 58050, "lr": 4e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.2846, "decode.acc_seg": 72.23038, "aux.loss_seg": 0.20947, "aux.acc_seg": 66.07534, "loss": 0.49407, "time": 0.40078} +{"mode": "train", "epoch": 93, "iter": 58100, "lr": 4e-05, "memory": 22018, "data_time": 0.16577, "decode.loss_seg": 0.25602, "decode.acc_seg": 71.91882, "aux.loss_seg": 0.19555, "aux.acc_seg": 65.798, "loss": 0.45157, "time": 0.55928} +{"mode": "train", "epoch": 93, "iter": 58150, "lr": 4e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.26695, "decode.acc_seg": 72.29434, "aux.loss_seg": 0.19722, "aux.acc_seg": 66.21733, "loss": 0.46417, "time": 0.39967} +{"mode": "train", "epoch": 93, "iter": 58200, "lr": 4e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.27501, "decode.acc_seg": 71.06152, "aux.loss_seg": 0.1996, "aux.acc_seg": 65.08643, "loss": 0.47461, "time": 0.4} +{"mode": "train", "epoch": 93, "iter": 58250, "lr": 4e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.27357, "decode.acc_seg": 72.46071, "aux.loss_seg": 0.20498, "aux.acc_seg": 66.04651, "loss": 0.47854, "time": 0.39961} +{"mode": "train", "epoch": 93, "iter": 58300, "lr": 4e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.26858, "decode.acc_seg": 71.43278, "aux.loss_seg": 0.20487, "aux.acc_seg": 65.03899, "loss": 0.47345, "time": 0.39992} +{"mode": "train", "epoch": 93, "iter": 58350, "lr": 4e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.27309, "decode.acc_seg": 72.76124, "aux.loss_seg": 0.20199, "aux.acc_seg": 66.77642, "loss": 0.47508, "time": 0.39944} +{"mode": "train", "epoch": 93, "iter": 58400, "lr": 4e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.28041, "decode.acc_seg": 71.76094, "aux.loss_seg": 0.20745, "aux.acc_seg": 65.37374, "loss": 0.48786, "time": 0.40046} +{"mode": "train", "epoch": 93, "iter": 58450, "lr": 4e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.2721, "decode.acc_seg": 71.14535, "aux.loss_seg": 0.20053, "aux.acc_seg": 65.10722, "loss": 0.47263, "time": 0.39962} +{"mode": "train", "epoch": 93, "iter": 58500, "lr": 4e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.28152, "decode.acc_seg": 72.21394, "aux.loss_seg": 0.20615, "aux.acc_seg": 66.2234, "loss": 0.48767, "time": 0.39956} +{"mode": "train", "epoch": 93, "iter": 58550, "lr": 4e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.28075, "decode.acc_seg": 71.53602, "aux.loss_seg": 0.20761, "aux.acc_seg": 65.11917, "loss": 0.48835, "time": 0.40112} +{"mode": "train", "epoch": 93, "iter": 58600, "lr": 4e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.28119, "decode.acc_seg": 71.40613, "aux.loss_seg": 0.20912, "aux.acc_seg": 65.08804, "loss": 0.49031, "time": 0.39989} +{"mode": "train", "epoch": 93, "iter": 58650, "lr": 4e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.27179, "decode.acc_seg": 71.17623, "aux.loss_seg": 0.19976, "aux.acc_seg": 65.041, "loss": 0.47155, "time": 0.40018} +{"mode": "train", "epoch": 94, "iter": 58700, "lr": 4e-05, "memory": 22018, "data_time": 0.16876, "decode.loss_seg": 0.28234, "decode.acc_seg": 72.32532, "aux.loss_seg": 0.20801, "aux.acc_seg": 65.98815, "loss": 0.49035, "time": 0.56149} +{"mode": "train", "epoch": 94, "iter": 58750, "lr": 4e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.28317, "decode.acc_seg": 71.20592, "aux.loss_seg": 0.20713, "aux.acc_seg": 65.0894, "loss": 0.49029, "time": 0.40205} +{"mode": "train", "epoch": 94, "iter": 58800, "lr": 4e-05, "memory": 22018, "data_time": 0.01056, "decode.loss_seg": 0.26406, "decode.acc_seg": 71.91346, "aux.loss_seg": 0.19637, "aux.acc_seg": 65.8966, "loss": 0.46043, "time": 0.40261} +{"mode": "train", "epoch": 94, "iter": 58850, "lr": 4e-05, "memory": 22018, "data_time": 0.01107, "decode.loss_seg": 0.26692, "decode.acc_seg": 71.9252, "aux.loss_seg": 0.19864, "aux.acc_seg": 65.70441, "loss": 0.46556, "time": 0.40315} +{"mode": "train", "epoch": 94, "iter": 58900, "lr": 4e-05, "memory": 22018, "data_time": 0.0108, "decode.loss_seg": 0.27408, "decode.acc_seg": 72.72206, "aux.loss_seg": 0.20111, "aux.acc_seg": 66.49209, "loss": 0.47519, "time": 0.40309} +{"mode": "train", "epoch": 94, "iter": 58950, "lr": 4e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.26321, "decode.acc_seg": 71.7246, "aux.loss_seg": 0.19576, "aux.acc_seg": 65.50754, "loss": 0.45897, "time": 0.4036} +{"mode": "train", "epoch": 94, "iter": 59000, "lr": 4e-05, "memory": 22018, "data_time": 0.01066, "decode.loss_seg": 0.27718, "decode.acc_seg": 72.43068, "aux.loss_seg": 0.20438, "aux.acc_seg": 66.31323, "loss": 0.48155, "time": 0.40261} +{"mode": "train", "epoch": 94, "iter": 59050, "lr": 4e-05, "memory": 22018, "data_time": 0.01029, "decode.loss_seg": 0.26408, "decode.acc_seg": 71.70219, "aux.loss_seg": 0.19626, "aux.acc_seg": 65.6998, "loss": 0.46033, "time": 0.40244} +{"mode": "train", "epoch": 94, "iter": 59100, "lr": 4e-05, "memory": 22018, "data_time": 0.01078, "decode.loss_seg": 0.275, "decode.acc_seg": 71.96734, "aux.loss_seg": 0.20313, "aux.acc_seg": 65.71639, "loss": 0.47813, "time": 0.40305} +{"mode": "train", "epoch": 94, "iter": 59150, "lr": 4e-05, "memory": 22018, "data_time": 0.01055, "decode.loss_seg": 0.28624, "decode.acc_seg": 71.75897, "aux.loss_seg": 0.20854, "aux.acc_seg": 65.44577, "loss": 0.49478, "time": 0.40225} +{"mode": "train", "epoch": 94, "iter": 59200, "lr": 4e-05, "memory": 22018, "data_time": 0.01121, "decode.loss_seg": 0.28345, "decode.acc_seg": 71.29365, "aux.loss_seg": 0.20531, "aux.acc_seg": 65.39106, "loss": 0.48876, "time": 0.40292} +{"mode": "train", "epoch": 94, "iter": 59250, "lr": 4e-05, "memory": 22018, "data_time": 0.01037, "decode.loss_seg": 0.27525, "decode.acc_seg": 72.73089, "aux.loss_seg": 0.20136, "aux.acc_seg": 66.70377, "loss": 0.47661, "time": 0.40214} +{"mode": "train", "epoch": 94, "iter": 59300, "lr": 4e-05, "memory": 22018, "data_time": 0.01007, "decode.loss_seg": 0.28486, "decode.acc_seg": 71.50746, "aux.loss_seg": 0.2059, "aux.acc_seg": 65.52474, "loss": 0.49077, "time": 0.40168} +{"mode": "train", "epoch": 95, "iter": 59350, "lr": 4e-05, "memory": 22018, "data_time": 0.17564, "decode.loss_seg": 0.26702, "decode.acc_seg": 71.89418, "aux.loss_seg": 0.19777, "aux.acc_seg": 65.83859, "loss": 0.4648, "time": 0.5677} +{"mode": "train", "epoch": 95, "iter": 59400, "lr": 4e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.27144, "decode.acc_seg": 72.30681, "aux.loss_seg": 0.20175, "aux.acc_seg": 65.94291, "loss": 0.4732, "time": 0.40203} +{"mode": "train", "epoch": 95, "iter": 59450, "lr": 4e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.26201, "decode.acc_seg": 73.49104, "aux.loss_seg": 0.19696, "aux.acc_seg": 67.15623, "loss": 0.45896, "time": 0.40201} +{"mode": "train", "epoch": 95, "iter": 59500, "lr": 4e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.27174, "decode.acc_seg": 72.22918, "aux.loss_seg": 0.20121, "aux.acc_seg": 66.10667, "loss": 0.47295, "time": 0.40146} +{"mode": "train", "epoch": 95, "iter": 59550, "lr": 4e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.26737, "decode.acc_seg": 72.12858, "aux.loss_seg": 0.19492, "aux.acc_seg": 66.44836, "loss": 0.46228, "time": 0.40272} +{"mode": "train", "epoch": 95, "iter": 59600, "lr": 4e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.27005, "decode.acc_seg": 71.49098, "aux.loss_seg": 0.19843, "aux.acc_seg": 65.71536, "loss": 0.46848, "time": 0.40299} +{"mode": "train", "epoch": 95, "iter": 59650, "lr": 4e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.27759, "decode.acc_seg": 72.1244, "aux.loss_seg": 0.19988, "aux.acc_seg": 66.31184, "loss": 0.47747, "time": 0.40265} +{"mode": "train", "epoch": 95, "iter": 59700, "lr": 4e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.27713, "decode.acc_seg": 71.80236, "aux.loss_seg": 0.20135, "aux.acc_seg": 65.74628, "loss": 0.47848, "time": 0.40177} +{"mode": "train", "epoch": 95, "iter": 59750, "lr": 4e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.2718, "decode.acc_seg": 70.88557, "aux.loss_seg": 0.20474, "aux.acc_seg": 64.43795, "loss": 0.47654, "time": 0.40187} +{"mode": "train", "epoch": 95, "iter": 59800, "lr": 4e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.27102, "decode.acc_seg": 71.51707, "aux.loss_seg": 0.20108, "aux.acc_seg": 65.48187, "loss": 0.4721, "time": 0.40229} +{"mode": "train", "epoch": 95, "iter": 59850, "lr": 4e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.2687, "decode.acc_seg": 72.11241, "aux.loss_seg": 0.19973, "aux.acc_seg": 66.00785, "loss": 0.46844, "time": 0.4018} +{"mode": "train", "epoch": 95, "iter": 59900, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.27197, "decode.acc_seg": 72.01751, "aux.loss_seg": 0.20014, "aux.acc_seg": 65.96332, "loss": 0.47212, "time": 0.40173} +{"mode": "train", "epoch": 96, "iter": 59950, "lr": 4e-05, "memory": 22018, "data_time": 0.18088, "decode.loss_seg": 0.27581, "decode.acc_seg": 71.70612, "aux.loss_seg": 0.2069, "aux.acc_seg": 65.17236, "loss": 0.48271, "time": 0.57434} +{"mode": "train", "epoch": 96, "iter": 60000, "lr": 4e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.26842, "decode.acc_seg": 72.63562, "aux.loss_seg": 0.19949, "aux.acc_seg": 66.54903, "loss": 0.46791, "time": 0.40154} +{"mode": "train", "epoch": 96, "iter": 60050, "lr": 4e-05, "memory": 22018, "data_time": 0.01051, "decode.loss_seg": 0.26467, "decode.acc_seg": 71.50452, "aux.loss_seg": 0.20461, "aux.acc_seg": 65.03017, "loss": 0.46928, "time": 0.40172} +{"mode": "train", "epoch": 96, "iter": 60100, "lr": 4e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.25592, "decode.acc_seg": 73.04952, "aux.loss_seg": 0.19341, "aux.acc_seg": 66.77199, "loss": 0.44933, "time": 0.40134} +{"mode": "train", "epoch": 96, "iter": 60150, "lr": 4e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.98294, "aux.loss_seg": 0.20019, "aux.acc_seg": 65.79259, "loss": 0.4662, "time": 0.40157} +{"mode": "train", "epoch": 96, "iter": 60200, "lr": 4e-05, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.27293, "decode.acc_seg": 71.24674, "aux.loss_seg": 0.19833, "aux.acc_seg": 65.47482, "loss": 0.47127, "time": 0.40155} +{"mode": "train", "epoch": 96, "iter": 60250, "lr": 4e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.26362, "decode.acc_seg": 71.20338, "aux.loss_seg": 0.19618, "aux.acc_seg": 65.33843, "loss": 0.4598, "time": 0.40117} +{"mode": "train", "epoch": 96, "iter": 60300, "lr": 4e-05, "memory": 22018, "data_time": 0.01042, "decode.loss_seg": 0.27388, "decode.acc_seg": 71.43418, "aux.loss_seg": 0.20027, "aux.acc_seg": 65.44308, "loss": 0.47414, "time": 0.4014} +{"mode": "train", "epoch": 96, "iter": 60350, "lr": 4e-05, "memory": 22018, "data_time": 0.01013, "decode.loss_seg": 0.2783, "decode.acc_seg": 72.28446, "aux.loss_seg": 0.20792, "aux.acc_seg": 65.88227, "loss": 0.48622, "time": 0.40212} +{"mode": "train", "epoch": 96, "iter": 60400, "lr": 4e-05, "memory": 22018, "data_time": 0.01027, "decode.loss_seg": 0.2731, "decode.acc_seg": 71.95273, "aux.loss_seg": 0.19962, "aux.acc_seg": 65.89379, "loss": 0.47272, "time": 0.40126} +{"mode": "train", "epoch": 96, "iter": 60450, "lr": 4e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.27631, "decode.acc_seg": 72.89337, "aux.loss_seg": 0.20143, "aux.acc_seg": 66.82714, "loss": 0.47774, "time": 0.40188} +{"mode": "train", "epoch": 96, "iter": 60500, "lr": 4e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.27524, "decode.acc_seg": 71.76948, "aux.loss_seg": 0.20316, "aux.acc_seg": 65.70905, "loss": 0.4784, "time": 0.40203} +{"mode": "train", "epoch": 96, "iter": 60550, "lr": 4e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.26566, "decode.acc_seg": 72.34388, "aux.loss_seg": 0.2012, "aux.acc_seg": 65.89925, "loss": 0.46687, "time": 0.40213} +{"mode": "train", "epoch": 97, "iter": 60600, "lr": 4e-05, "memory": 22018, "data_time": 0.17043, "decode.loss_seg": 0.28016, "decode.acc_seg": 71.95187, "aux.loss_seg": 0.20788, "aux.acc_seg": 65.60642, "loss": 0.48804, "time": 0.56376} +{"mode": "train", "epoch": 97, "iter": 60650, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.25753, "decode.acc_seg": 73.31996, "aux.loss_seg": 0.195, "aux.acc_seg": 67.15766, "loss": 0.45253, "time": 0.40114} +{"mode": "train", "epoch": 97, "iter": 60700, "lr": 4e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.26676, "decode.acc_seg": 71.89797, "aux.loss_seg": 0.19381, "aux.acc_seg": 66.25292, "loss": 0.46057, "time": 0.40145} +{"mode": "train", "epoch": 97, "iter": 60750, "lr": 4e-05, "memory": 22018, "data_time": 0.0102, "decode.loss_seg": 0.26049, "decode.acc_seg": 71.56196, "aux.loss_seg": 0.19447, "aux.acc_seg": 65.7291, "loss": 0.45495, "time": 0.40188} +{"mode": "train", "epoch": 97, "iter": 60800, "lr": 4e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.26879, "decode.acc_seg": 71.04577, "aux.loss_seg": 0.19911, "aux.acc_seg": 64.89854, "loss": 0.4679, "time": 0.40089} +{"mode": "train", "epoch": 97, "iter": 60850, "lr": 4e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.28762, "decode.acc_seg": 71.35293, "aux.loss_seg": 0.21738, "aux.acc_seg": 64.66203, "loss": 0.50501, "time": 0.40204} +{"mode": "train", "epoch": 97, "iter": 60900, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.2588, "decode.acc_seg": 71.6308, "aux.loss_seg": 0.1972, "aux.acc_seg": 65.38979, "loss": 0.45599, "time": 0.40126} +{"mode": "train", "epoch": 97, "iter": 60950, "lr": 4e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.26408, "decode.acc_seg": 71.59009, "aux.loss_seg": 0.19922, "aux.acc_seg": 65.26083, "loss": 0.4633, "time": 0.40143} +{"mode": "train", "epoch": 97, "iter": 61000, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.28962, "decode.acc_seg": 73.05703, "aux.loss_seg": 0.21092, "aux.acc_seg": 66.72444, "loss": 0.50054, "time": 0.40144} +{"mode": "train", "epoch": 97, "iter": 61050, "lr": 4e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.27386, "decode.acc_seg": 72.52977, "aux.loss_seg": 0.20449, "aux.acc_seg": 66.19729, "loss": 0.47835, "time": 0.40177} +{"mode": "train", "epoch": 97, "iter": 61100, "lr": 4e-05, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.26566, "decode.acc_seg": 71.90117, "aux.loss_seg": 0.20117, "aux.acc_seg": 65.74287, "loss": 0.46683, "time": 0.40126} +{"mode": "train", "epoch": 97, "iter": 61150, "lr": 4e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.26539, "decode.acc_seg": 72.10509, "aux.loss_seg": 0.1943, "aux.acc_seg": 66.27941, "loss": 0.45969, "time": 0.40218} +{"mode": "train", "epoch": 97, "iter": 61200, "lr": 4e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.27447, "decode.acc_seg": 71.59359, "aux.loss_seg": 0.20164, "aux.acc_seg": 65.29849, "loss": 0.4761, "time": 0.4018} +{"mode": "train", "epoch": 98, "iter": 61250, "lr": 4e-05, "memory": 22018, "data_time": 0.16829, "decode.loss_seg": 0.26664, "decode.acc_seg": 71.80869, "aux.loss_seg": 0.19806, "aux.acc_seg": 65.74104, "loss": 0.4647, "time": 0.56122} +{"mode": "train", "epoch": 98, "iter": 61300, "lr": 4e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.26463, "decode.acc_seg": 72.9116, "aux.loss_seg": 0.19564, "aux.acc_seg": 66.8573, "loss": 0.46028, "time": 0.40226} +{"mode": "train", "epoch": 98, "iter": 61350, "lr": 4e-05, "memory": 22018, "data_time": 0.01068, "decode.loss_seg": 0.26737, "decode.acc_seg": 72.02219, "aux.loss_seg": 0.19217, "aux.acc_seg": 66.51925, "loss": 0.45954, "time": 0.40257} +{"mode": "train", "epoch": 98, "iter": 61400, "lr": 4e-05, "memory": 22018, "data_time": 0.01013, "decode.loss_seg": 0.27535, "decode.acc_seg": 71.79671, "aux.loss_seg": 0.20307, "aux.acc_seg": 65.66706, "loss": 0.47841, "time": 0.40272} +{"mode": "train", "epoch": 98, "iter": 61450, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.26365, "decode.acc_seg": 71.01091, "aux.loss_seg": 0.19882, "aux.acc_seg": 64.99062, "loss": 0.46247, "time": 0.40279} +{"mode": "train", "epoch": 98, "iter": 61500, "lr": 4e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.26566, "decode.acc_seg": 73.03761, "aux.loss_seg": 0.19461, "aux.acc_seg": 67.02244, "loss": 0.46027, "time": 0.40203} +{"mode": "train", "epoch": 98, "iter": 61550, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.26945, "decode.acc_seg": 71.15846, "aux.loss_seg": 0.19712, "aux.acc_seg": 65.28159, "loss": 0.46657, "time": 0.40315} +{"mode": "train", "epoch": 98, "iter": 61600, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.27589, "decode.acc_seg": 71.79426, "aux.loss_seg": 0.19971, "aux.acc_seg": 65.91316, "loss": 0.4756, "time": 0.40265} +{"mode": "train", "epoch": 98, "iter": 61650, "lr": 4e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.27179, "decode.acc_seg": 72.27176, "aux.loss_seg": 0.20105, "aux.acc_seg": 66.28169, "loss": 0.47283, "time": 0.40303} +{"mode": "train", "epoch": 98, "iter": 61700, "lr": 4e-05, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.26993, "decode.acc_seg": 72.56364, "aux.loss_seg": 0.20319, "aux.acc_seg": 66.18838, "loss": 0.47312, "time": 0.4025} +{"mode": "train", "epoch": 98, "iter": 61750, "lr": 4e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.26457, "decode.acc_seg": 71.9778, "aux.loss_seg": 0.19954, "aux.acc_seg": 65.77408, "loss": 0.46411, "time": 0.40277} +{"mode": "train", "epoch": 98, "iter": 61800, "lr": 4e-05, "memory": 22018, "data_time": 0.0104, "decode.loss_seg": 0.27565, "decode.acc_seg": 71.26406, "aux.loss_seg": 0.20632, "aux.acc_seg": 65.06712, "loss": 0.48196, "time": 0.40452} +{"mode": "train", "epoch": 99, "iter": 61850, "lr": 4e-05, "memory": 22018, "data_time": 0.17401, "decode.loss_seg": 0.27298, "decode.acc_seg": 71.47107, "aux.loss_seg": 0.20877, "aux.acc_seg": 64.85913, "loss": 0.48175, "time": 0.56773} +{"mode": "train", "epoch": 99, "iter": 61900, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.26237, "decode.acc_seg": 72.52868, "aux.loss_seg": 0.19459, "aux.acc_seg": 66.67474, "loss": 0.45696, "time": 0.40102} +{"mode": "train", "epoch": 99, "iter": 61950, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.27277, "decode.acc_seg": 72.08745, "aux.loss_seg": 0.2072, "aux.acc_seg": 65.49662, "loss": 0.47998, "time": 0.40066} +{"mode": "train", "epoch": 99, "iter": 62000, "lr": 4e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.25459, "decode.acc_seg": 71.17066, "aux.loss_seg": 0.1947, "aux.acc_seg": 65.04371, "loss": 0.44928, "time": 0.40091} +{"mode": "train", "epoch": 99, "iter": 62050, "lr": 4e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.26327, "decode.acc_seg": 72.8021, "aux.loss_seg": 0.19545, "aux.acc_seg": 66.81716, "loss": 0.45872, "time": 0.40208} +{"mode": "train", "epoch": 99, "iter": 62100, "lr": 4e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.2737, "decode.acc_seg": 72.17661, "aux.loss_seg": 0.20088, "aux.acc_seg": 66.08126, "loss": 0.47458, "time": 0.40054} +{"mode": "train", "epoch": 99, "iter": 62150, "lr": 4e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.26915, "decode.acc_seg": 72.28522, "aux.loss_seg": 0.20118, "aux.acc_seg": 65.80311, "loss": 0.47033, "time": 0.40093} +{"mode": "train", "epoch": 99, "iter": 62200, "lr": 4e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.26299, "decode.acc_seg": 71.99514, "aux.loss_seg": 0.19367, "aux.acc_seg": 66.31031, "loss": 0.45666, "time": 0.40101} +{"mode": "train", "epoch": 99, "iter": 62250, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.26109, "decode.acc_seg": 70.75972, "aux.loss_seg": 0.2032, "aux.acc_seg": 64.27129, "loss": 0.46429, "time": 0.40093} +{"mode": "train", "epoch": 99, "iter": 62300, "lr": 4e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.26952, "decode.acc_seg": 72.73701, "aux.loss_seg": 0.20053, "aux.acc_seg": 66.60677, "loss": 0.47005, "time": 0.40059} +{"mode": "train", "epoch": 99, "iter": 62350, "lr": 4e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.27494, "decode.acc_seg": 72.16966, "aux.loss_seg": 0.19832, "aux.acc_seg": 66.23914, "loss": 0.47326, "time": 0.40055} +{"mode": "train", "epoch": 99, "iter": 62400, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.2686, "decode.acc_seg": 72.41441, "aux.loss_seg": 0.20626, "aux.acc_seg": 65.92418, "loss": 0.47486, "time": 0.40047} +{"mode": "train", "epoch": 99, "iter": 62450, "lr": 4e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.77867, "aux.loss_seg": 0.19279, "aux.acc_seg": 66.03402, "loss": 0.4588, "time": 0.40163} +{"mode": "train", "epoch": 100, "iter": 62500, "lr": 4e-05, "memory": 22018, "data_time": 0.18142, "decode.loss_seg": 0.26455, "decode.acc_seg": 71.95413, "aux.loss_seg": 0.19658, "aux.acc_seg": 65.96935, "loss": 0.46114, "time": 0.57486} +{"mode": "train", "epoch": 100, "iter": 62550, "lr": 4e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.26659, "decode.acc_seg": 71.34305, "aux.loss_seg": 0.19454, "aux.acc_seg": 65.61749, "loss": 0.46113, "time": 0.40211} +{"mode": "train", "epoch": 100, "iter": 62600, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.27391, "decode.acc_seg": 70.8949, "aux.loss_seg": 0.20276, "aux.acc_seg": 64.8884, "loss": 0.47667, "time": 0.40253} +{"mode": "train", "epoch": 100, "iter": 62650, "lr": 4e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.26291, "decode.acc_seg": 71.48176, "aux.loss_seg": 0.1919, "aux.acc_seg": 65.69397, "loss": 0.45481, "time": 0.40171} +{"mode": "train", "epoch": 100, "iter": 62700, "lr": 4e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.25647, "decode.acc_seg": 71.68258, "aux.loss_seg": 0.19698, "aux.acc_seg": 65.33618, "loss": 0.45345, "time": 0.40253} +{"mode": "train", "epoch": 100, "iter": 62750, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.25789, "decode.acc_seg": 72.12929, "aux.loss_seg": 0.19589, "aux.acc_seg": 65.91358, "loss": 0.45377, "time": 0.40271} +{"mode": "train", "epoch": 100, "iter": 62800, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.27154, "decode.acc_seg": 71.98295, "aux.loss_seg": 0.20272, "aux.acc_seg": 65.73354, "loss": 0.47426, "time": 0.40245} +{"mode": "train", "epoch": 100, "iter": 62850, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.26113, "decode.acc_seg": 73.65434, "aux.loss_seg": 0.19906, "aux.acc_seg": 67.23712, "loss": 0.46019, "time": 0.4028} +{"mode": "train", "epoch": 100, "iter": 62900, "lr": 4e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.26435, "decode.acc_seg": 72.669, "aux.loss_seg": 0.19518, "aux.acc_seg": 66.94519, "loss": 0.45953, "time": 0.40224} +{"mode": "train", "epoch": 100, "iter": 62950, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.26341, "decode.acc_seg": 72.24798, "aux.loss_seg": 0.19537, "aux.acc_seg": 66.41423, "loss": 0.45878, "time": 0.40132} +{"mode": "train", "epoch": 100, "iter": 63000, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.27248, "decode.acc_seg": 72.32213, "aux.loss_seg": 0.20959, "aux.acc_seg": 65.81943, "loss": 0.48207, "time": 0.40161} +{"mode": "train", "epoch": 100, "iter": 63050, "lr": 4e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.26487, "decode.acc_seg": 72.01126, "aux.loss_seg": 0.19757, "aux.acc_seg": 66.14836, "loss": 0.46243, "time": 0.40158} +{"mode": "train", "epoch": 100, "iter": 63100, "lr": 4e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.26873, "decode.acc_seg": 71.95757, "aux.loss_seg": 0.19633, "aux.acc_seg": 66.16155, "loss": 0.46506, "time": 0.40122} +{"mode": "train", "epoch": 101, "iter": 63150, "lr": 4e-05, "memory": 22018, "data_time": 0.17822, "decode.loss_seg": 0.26486, "decode.acc_seg": 73.0892, "aux.loss_seg": 0.19737, "aux.acc_seg": 67.00118, "loss": 0.46223, "time": 0.57081} +{"mode": "train", "epoch": 101, "iter": 63200, "lr": 4e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.27005, "decode.acc_seg": 73.12823, "aux.loss_seg": 0.1972, "aux.acc_seg": 67.09212, "loss": 0.46725, "time": 0.40059} +{"mode": "train", "epoch": 101, "iter": 63250, "lr": 4e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.25331, "decode.acc_seg": 72.70396, "aux.loss_seg": 0.19012, "aux.acc_seg": 66.55869, "loss": 0.44343, "time": 0.40096} +{"mode": "train", "epoch": 101, "iter": 63300, "lr": 4e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.26435, "decode.acc_seg": 71.9349, "aux.loss_seg": 0.19973, "aux.acc_seg": 65.5427, "loss": 0.46407, "time": 0.4011} +{"mode": "train", "epoch": 101, "iter": 63350, "lr": 4e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.26074, "decode.acc_seg": 71.97521, "aux.loss_seg": 0.19625, "aux.acc_seg": 65.89943, "loss": 0.45699, "time": 0.40109} +{"mode": "train", "epoch": 101, "iter": 63400, "lr": 4e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.2666, "decode.acc_seg": 72.0754, "aux.loss_seg": 0.20101, "aux.acc_seg": 65.77018, "loss": 0.46762, "time": 0.40062} +{"mode": "train", "epoch": 101, "iter": 63450, "lr": 4e-05, "memory": 22018, "data_time": 0.00798, "decode.loss_seg": 0.25418, "decode.acc_seg": 72.35764, "aux.loss_seg": 0.19651, "aux.acc_seg": 66.08013, "loss": 0.45069, "time": 0.40046} +{"mode": "train", "epoch": 101, "iter": 63500, "lr": 4e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.25502, "decode.acc_seg": 72.67569, "aux.loss_seg": 0.19355, "aux.acc_seg": 66.52288, "loss": 0.44857, "time": 0.40074} +{"mode": "train", "epoch": 101, "iter": 63550, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.26323, "decode.acc_seg": 71.32671, "aux.loss_seg": 0.19601, "aux.acc_seg": 65.29551, "loss": 0.45924, "time": 0.40067} +{"mode": "train", "epoch": 101, "iter": 63600, "lr": 4e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.25663, "decode.acc_seg": 72.58276, "aux.loss_seg": 0.18983, "aux.acc_seg": 66.93762, "loss": 0.44646, "time": 0.40193} +{"mode": "train", "epoch": 101, "iter": 63650, "lr": 4e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.25502, "decode.acc_seg": 71.26187, "aux.loss_seg": 0.19373, "aux.acc_seg": 65.04322, "loss": 0.44874, "time": 0.40187} +{"mode": "train", "epoch": 101, "iter": 63700, "lr": 4e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.27389, "decode.acc_seg": 71.73934, "aux.loss_seg": 0.20491, "aux.acc_seg": 65.41397, "loss": 0.4788, "time": 0.40057} +{"mode": "train", "epoch": 102, "iter": 63750, "lr": 4e-05, "memory": 22018, "data_time": 0.17425, "decode.loss_seg": 0.25704, "decode.acc_seg": 71.58454, "aux.loss_seg": 0.19419, "aux.acc_seg": 65.66899, "loss": 0.45123, "time": 0.56702} +{"mode": "train", "epoch": 102, "iter": 63800, "lr": 4e-05, "memory": 22018, "data_time": 0.00639, "decode.loss_seg": 0.25499, "decode.acc_seg": 73.03337, "aux.loss_seg": 0.19188, "aux.acc_seg": 67.14956, "loss": 0.44687, "time": 0.40135} +{"mode": "train", "epoch": 102, "iter": 63850, "lr": 4e-05, "memory": 22018, "data_time": 0.00638, "decode.loss_seg": 0.26527, "decode.acc_seg": 72.26522, "aux.loss_seg": 0.19963, "aux.acc_seg": 66.05602, "loss": 0.46491, "time": 0.40133} +{"mode": "train", "epoch": 102, "iter": 63900, "lr": 4e-05, "memory": 22018, "data_time": 0.00638, "decode.loss_seg": 0.2604, "decode.acc_seg": 71.64618, "aux.loss_seg": 0.19548, "aux.acc_seg": 65.55432, "loss": 0.45589, "time": 0.40027} +{"mode": "train", "epoch": 102, "iter": 63950, "lr": 4e-05, "memory": 22018, "data_time": 0.00665, "decode.loss_seg": 0.26732, "decode.acc_seg": 71.674, "aux.loss_seg": 0.19629, "aux.acc_seg": 65.61271, "loss": 0.46361, "time": 0.40176} +{"mode": "val", "epoch": 102, "iter": 64000, "lr": 4e-05, "mIoU": 0.4522, "mAcc": 0.5743, "aAcc": 0.8126, "IoU.wall": 0.7478, "IoU.building": 0.815, "IoU.sky": 0.9379, "IoU.floor": 0.7973, "IoU.tree": 0.7247, "IoU.ceiling": 0.8281, "IoU.road": 0.8162, "IoU.bed ": 0.8561, "IoU.windowpane": 0.5849, "IoU.grass": 0.6579, "IoU.cabinet": 0.5603, "IoU.sidewalk": 0.6132, "IoU.person": 0.7604, "IoU.earth": 0.3554, "IoU.door": 0.4318, "IoU.table": 0.554, "IoU.mountain": 0.5867, "IoU.plant": 0.5096, "IoU.curtain": 0.7005, "IoU.chair": 0.5159, "IoU.car": 0.8202, "IoU.water": 0.5231, "IoU.painting": 0.68, "IoU.sofa": 0.5838, "IoU.shelf": 0.3736, "IoU.house": 0.45, "IoU.sea": 0.516, "IoU.mirror": 0.5611, "IoU.rug": 0.6016, "IoU.field": 0.3404, "IoU.armchair": 0.3535, "IoU.seat": 0.5711, "IoU.fence": 0.3154, "IoU.desk": 0.439, "IoU.rock": 0.4409, "IoU.wardrobe": 0.4658, "IoU.lamp": 0.5613, "IoU.bathtub": 0.7691, "IoU.railing": 0.3391, "IoU.cushion": 0.4808, "IoU.base": 0.2915, "IoU.box": 0.2229, "IoU.column": 0.427, "IoU.signboard": 0.3298, "IoU.chest of drawers": 0.3596, "IoU.counter": 0.2906, "IoU.sand": 0.335, "IoU.sink": 0.6554, "IoU.skyscraper": 0.6692, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6433, "IoU.grandstand": 0.3999, "IoU.path": 0.1813, "IoU.stairs": 0.2597, "IoU.runway": 0.633, "IoU.case": 0.4007, "IoU.pool table": 0.894, "IoU.pillow": 0.5197, "IoU.screen door": 0.5778, "IoU.stairway": 0.3657, "IoU.river": 0.0755, "IoU.bridge": 0.6051, "IoU.bookcase": 0.3761, "IoU.blind": NaN, "IoU.coffee table": 0.5572, "IoU.toilet": 0.8133, "IoU.flower": 0.3673, "IoU.book": 0.4167, "IoU.hill": 0.1034, "IoU.bench": 0.355, "IoU.countertop": 0.5085, "IoU.stove": 0.6747, "IoU.palm": 0.4001, "IoU.kitchen island": 0.3297, "IoU.computer": 0.5713, "IoU.swivel chair": 0.4206, "IoU.boat": 0.621, "IoU.bar": 0.4174, "IoU.arcade machine": 0.576, "IoU.hovel": 0.1764, "IoU.bus": 0.8163, "IoU.towel": 0.582, "IoU.light": 0.5227, "IoU.truck": 0.337, "IoU.tower": 0.2713, "IoU.chandelier": 0.6251, "IoU.awning": 0.3012, "IoU.streetlight": 0.1981, "IoU.booth": 0.5615, "IoU.television receiver": NaN, "IoU.airplane": 0.5136, "IoU.dirt track": 0.2112, "IoU.apparel": 0.3503, "IoU.pole": 0.1251, "IoU.land": 0.0001, "IoU.bannister": 0.1049, "IoU.escalator": 0.2376, "IoU.ottoman": 0.3665, "IoU.bottle": NaN, "IoU.buffet": 0.3753, "IoU.poster": 0.2667, "IoU.stage": 0.1645, "IoU.van": 0.3866, "IoU.ship": 0.7021, "IoU.fountain": 0.1959, "IoU.conveyer belt": 0.6056, "IoU.canopy": 0.196, "IoU.washer": 0.7035, "IoU.plaything": 0.1815, "IoU.swimming pool": 0.7359, "IoU.stool": 0.371, "IoU.barrel": 0.3408, "IoU.basket": 0.2418, "IoU.waterfall": 0.4441, "IoU.tent": 0.8926, "IoU.bag": 0.118, "IoU.minibike": 0.6112, "IoU.cradle": NaN, "IoU.oven": 0.3939, "IoU.ball": 0.4485, "IoU.food": 0.5056, "IoU.step": 0.1112, "IoU.tank": 0.4693, "IoU.trade name": 0.2025, "IoU.microwave": 0.6296, "IoU.pot": 0.4673, "IoU.animal": NaN, "IoU.bicycle": 0.514, "IoU.lake": 0.5462, "IoU.dishwasher": 0.4191, "IoU.screen": 0.6502, "IoU.blanket": 0.0678, "IoU.sculpture": 0.5481, "IoU.hood": 0.5462, "IoU.sconce": 0.3891, "IoU.vase": 0.2933, "IoU.traffic light": 0.2348, "IoU.tray": 0.0649, "IoU.ashcan": 0.3292, "IoU.fan": 0.4998, "IoU.pier": 0.5401, "IoU.crt screen": 0.0613, "IoU.plate": 0.5064, "IoU.monitor": 0.0601, "IoU.bulletin board": 0.3952, "IoU.shower": 0.0019, "IoU.radiator": 0.471, "IoU.glass": 0.1146, "IoU.clock": 0.3318, "IoU.flag": 0.2851, "Acc.wall": 0.8621, "Acc.building": 0.9067, "Acc.sky": 0.9714, "Acc.floor": 0.899, "Acc.tree": 0.8633, "Acc.ceiling": 0.9303, "Acc.road": 0.8827, "Acc.bed ": 0.9534, "Acc.windowpane": 0.7727, "Acc.grass": 0.8225, "Acc.cabinet": 0.6685, "Acc.sidewalk": 0.807, "Acc.person": 0.898, "Acc.earth": 0.4716, "Acc.door": 0.6007, "Acc.table": 0.6999, "Acc.mountain": 0.7706, "Acc.plant": 0.6388, "Acc.curtain": 0.8116, "Acc.chair": 0.6887, "Acc.car": 0.9044, "Acc.water": 0.6947, "Acc.painting": 0.8562, "Acc.sofa": 0.7799, "Acc.shelf": 0.5317, "Acc.house": 0.6607, "Acc.sea": 0.6692, "Acc.mirror": 0.6549, "Acc.rug": 0.6845, "Acc.field": 0.5465, "Acc.armchair": 0.5153, "Acc.seat": 0.7698, "Acc.fence": 0.4553, "Acc.desk": 0.66, "Acc.rock": 0.6597, "Acc.wardrobe": 0.6411, "Acc.lamp": 0.6935, "Acc.bathtub": 0.8351, "Acc.railing": 0.4858, "Acc.cushion": 0.6085, "Acc.base": 0.401, "Acc.box": 0.3229, "Acc.column": 0.5336, "Acc.signboard": 0.4233, "Acc.chest of drawers": 0.7149, "Acc.counter": 0.3317, "Acc.sand": 0.515, "Acc.sink": 0.7717, "Acc.skyscraper": 0.8749, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7915, "Acc.grandstand": 0.6955, "Acc.path": 0.2741, "Acc.stairs": 0.3387, "Acc.runway": 0.8715, "Acc.case": 0.5201, "Acc.pool table": 0.9564, "Acc.pillow": 0.6205, "Acc.screen door": 0.7916, "Acc.stairway": 0.4696, "Acc.river": 0.1624, "Acc.bridge": 0.7514, "Acc.bookcase": 0.4596, "Acc.blind": NaN, "Acc.coffee table": 0.7599, "Acc.toilet": 0.876, "Acc.flower": 0.4944, "Acc.book": 0.6191, "Acc.hill": 0.119, "Acc.bench": 0.4164, "Acc.countertop": 0.6792, "Acc.stove": 0.7789, "Acc.palm": 0.6933, "Acc.kitchen island": 0.6714, "Acc.computer": 0.7396, "Acc.swivel chair": 0.5714, "Acc.boat": 0.7482, "Acc.bar": 0.6031, "Acc.arcade machine": 0.6119, "Acc.hovel": 0.1993, "Acc.bus": 0.8985, "Acc.towel": 0.6852, "Acc.light": 0.6007, "Acc.truck": 0.4515, "Acc.tower": 0.3399, "Acc.chandelier": 0.7654, "Acc.awning": 0.3532, "Acc.streetlight": 0.2745, "Acc.booth": 0.7536, "Acc.television receiver": NaN, "Acc.airplane": 0.5946, "Acc.dirt track": 0.3206, "Acc.apparel": 0.4572, "Acc.pole": 0.1735, "Acc.land": 0.0001, "Acc.bannister": 0.1519, "Acc.escalator": 0.2861, "Acc.ottoman": 0.532, "Acc.bottle": NaN, "Acc.buffet": 0.4484, "Acc.poster": 0.4504, "Acc.stage": 0.2444, "Acc.van": 0.5193, "Acc.ship": 0.9108, "Acc.fountain": 0.2075, "Acc.conveyer belt": 0.9111, "Acc.canopy": 0.2344, "Acc.washer": 0.7456, "Acc.plaything": 0.2517, "Acc.swimming pool": 0.8129, "Acc.stool": 0.4785, "Acc.barrel": 0.6069, "Acc.basket": 0.3534, "Acc.waterfall": 0.5334, "Acc.tent": 0.9811, "Acc.bag": 0.135, "Acc.minibike": 0.8224, "Acc.cradle": NaN, "Acc.oven": 0.5173, "Acc.ball": 0.5403, "Acc.food": 0.5916, "Acc.step": 0.1682, "Acc.tank": 0.4886, "Acc.trade name": 0.2359, "Acc.microwave": 0.7049, "Acc.pot": 0.5483, "Acc.animal": NaN, "Acc.bicycle": 0.7131, "Acc.lake": 0.6306, "Acc.dishwasher": 0.5529, "Acc.screen": 0.8595, "Acc.blanket": 0.0746, "Acc.sculpture": 0.642, "Acc.hood": 0.6115, "Acc.sconce": 0.4774, "Acc.vase": 0.4582, "Acc.traffic light": 0.3858, "Acc.tray": 0.1182, "Acc.ashcan": 0.4152, "Acc.fan": 0.5936, "Acc.pier": 0.7855, "Acc.crt screen": 0.1652, "Acc.plate": 0.6837, "Acc.monitor": 0.072, "Acc.bulletin board": 0.5548, "Acc.shower": 0.0022, "Acc.radiator": 0.5454, "Acc.glass": 0.1312, "Acc.clock": 0.3941, "Acc.flag": 0.3456} +{"mode": "train", "epoch": 102, "iter": 64050, "lr": 4e-05, "memory": 22018, "data_time": 1.70844, "decode.loss_seg": 0.26204, "decode.acc_seg": 72.76004, "aux.loss_seg": 0.19767, "aux.acc_seg": 66.5578, "loss": 0.4597, "time": 2.10427} +{"mode": "train", "epoch": 102, "iter": 64100, "lr": 4e-05, "memory": 22018, "data_time": 0.00648, "decode.loss_seg": 0.27139, "decode.acc_seg": 73.19324, "aux.loss_seg": 0.1997, "aux.acc_seg": 67.13798, "loss": 0.47109, "time": 0.40046} +{"mode": "train", "epoch": 102, "iter": 64150, "lr": 4e-05, "memory": 22018, "data_time": 0.00637, "decode.loss_seg": 0.26549, "decode.acc_seg": 72.27767, "aux.loss_seg": 0.20085, "aux.acc_seg": 66.0921, "loss": 0.46634, "time": 0.4003} +{"mode": "train", "epoch": 102, "iter": 64200, "lr": 4e-05, "memory": 22018, "data_time": 0.00618, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.98092, "aux.loss_seg": 0.19498, "aux.acc_seg": 66.25362, "loss": 0.46099, "time": 0.40005} +{"mode": "train", "epoch": 102, "iter": 64250, "lr": 4e-05, "memory": 22018, "data_time": 0.00624, "decode.loss_seg": 0.25655, "decode.acc_seg": 71.81928, "aux.loss_seg": 0.19168, "aux.acc_seg": 65.76558, "loss": 0.44823, "time": 0.39994} +{"mode": "train", "epoch": 102, "iter": 64300, "lr": 4e-05, "memory": 22018, "data_time": 0.00631, "decode.loss_seg": 0.2614, "decode.acc_seg": 72.14153, "aux.loss_seg": 0.19586, "aux.acc_seg": 66.04879, "loss": 0.45726, "time": 0.40026} +{"mode": "train", "epoch": 102, "iter": 64350, "lr": 4e-05, "memory": 22018, "data_time": 0.00653, "decode.loss_seg": 0.26263, "decode.acc_seg": 72.19751, "aux.loss_seg": 0.19686, "aux.acc_seg": 65.91645, "loss": 0.45948, "time": 0.39988} +{"mode": "train", "epoch": 103, "iter": 64400, "lr": 4e-05, "memory": 22018, "data_time": 0.17301, "decode.loss_seg": 0.2575, "decode.acc_seg": 72.77352, "aux.loss_seg": 0.19469, "aux.acc_seg": 66.79904, "loss": 0.45219, "time": 0.56662} +{"mode": "train", "epoch": 103, "iter": 64450, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.27097, "decode.acc_seg": 72.5155, "aux.loss_seg": 0.19864, "aux.acc_seg": 66.56437, "loss": 0.46961, "time": 0.40286} +{"mode": "train", "epoch": 103, "iter": 64500, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.26536, "decode.acc_seg": 72.29546, "aux.loss_seg": 0.19793, "aux.acc_seg": 66.21417, "loss": 0.46329, "time": 0.4029} +{"mode": "train", "epoch": 103, "iter": 64550, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.24942, "decode.acc_seg": 72.60532, "aux.loss_seg": 0.18727, "aux.acc_seg": 66.82547, "loss": 0.43669, "time": 0.40211} +{"mode": "train", "epoch": 103, "iter": 64600, "lr": 4e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.26278, "decode.acc_seg": 72.86529, "aux.loss_seg": 0.19688, "aux.acc_seg": 66.5443, "loss": 0.45966, "time": 0.40312} +{"mode": "train", "epoch": 103, "iter": 64650, "lr": 4e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.26472, "decode.acc_seg": 71.34892, "aux.loss_seg": 0.19423, "aux.acc_seg": 65.3706, "loss": 0.45894, "time": 0.40318} +{"mode": "train", "epoch": 103, "iter": 64700, "lr": 4e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.26126, "decode.acc_seg": 73.04373, "aux.loss_seg": 0.19706, "aux.acc_seg": 66.91319, "loss": 0.45832, "time": 0.40286} +{"mode": "train", "epoch": 103, "iter": 64750, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.25426, "decode.acc_seg": 72.22366, "aux.loss_seg": 0.18896, "aux.acc_seg": 66.46712, "loss": 0.44322, "time": 0.40247} +{"mode": "train", "epoch": 103, "iter": 64800, "lr": 4e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.26039, "decode.acc_seg": 72.47717, "aux.loss_seg": 0.19356, "aux.acc_seg": 66.42077, "loss": 0.45395, "time": 0.40252} +{"mode": "train", "epoch": 103, "iter": 64850, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.26461, "decode.acc_seg": 72.19432, "aux.loss_seg": 0.20223, "aux.acc_seg": 65.86433, "loss": 0.46683, "time": 0.40192} +{"mode": "train", "epoch": 103, "iter": 64900, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.27378, "decode.acc_seg": 71.79643, "aux.loss_seg": 0.20198, "aux.acc_seg": 65.8659, "loss": 0.47577, "time": 0.40205} +{"mode": "train", "epoch": 103, "iter": 64950, "lr": 4e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.27038, "decode.acc_seg": 73.65592, "aux.loss_seg": 0.19825, "aux.acc_seg": 67.53711, "loss": 0.46863, "time": 0.40162} +{"mode": "train", "epoch": 104, "iter": 65000, "lr": 4e-05, "memory": 22018, "data_time": 0.17374, "decode.loss_seg": 0.26022, "decode.acc_seg": 72.10018, "aux.loss_seg": 0.19362, "aux.acc_seg": 66.20153, "loss": 0.45384, "time": 0.56683} +{"mode": "train", "epoch": 104, "iter": 65050, "lr": 4e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.25248, "decode.acc_seg": 72.66836, "aux.loss_seg": 0.19206, "aux.acc_seg": 66.40354, "loss": 0.44455, "time": 0.40046} +{"mode": "train", "epoch": 104, "iter": 65100, "lr": 4e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.24573, "decode.acc_seg": 71.61878, "aux.loss_seg": 0.18874, "aux.acc_seg": 65.55208, "loss": 0.43447, "time": 0.40043} +{"mode": "train", "epoch": 104, "iter": 65150, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.25221, "decode.acc_seg": 72.25198, "aux.loss_seg": 0.18702, "aux.acc_seg": 66.42881, "loss": 0.43923, "time": 0.40157} +{"mode": "train", "epoch": 104, "iter": 65200, "lr": 4e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.27067, "decode.acc_seg": 72.30693, "aux.loss_seg": 0.1946, "aux.acc_seg": 66.59578, "loss": 0.46527, "time": 0.40167} +{"mode": "train", "epoch": 104, "iter": 65250, "lr": 4e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.26845, "decode.acc_seg": 72.67186, "aux.loss_seg": 0.20314, "aux.acc_seg": 66.14403, "loss": 0.47159, "time": 0.40193} +{"mode": "train", "epoch": 104, "iter": 65300, "lr": 4e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.26499, "decode.acc_seg": 72.60098, "aux.loss_seg": 0.19777, "aux.acc_seg": 66.30851, "loss": 0.46275, "time": 0.40132} +{"mode": "train", "epoch": 104, "iter": 65350, "lr": 4e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.25196, "decode.acc_seg": 72.2905, "aux.loss_seg": 0.19148, "aux.acc_seg": 66.37506, "loss": 0.44344, "time": 0.40144} +{"mode": "train", "epoch": 104, "iter": 65400, "lr": 4e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.25539, "decode.acc_seg": 72.98445, "aux.loss_seg": 0.19748, "aux.acc_seg": 66.54166, "loss": 0.45287, "time": 0.40223} +{"mode": "train", "epoch": 104, "iter": 65450, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.26066, "decode.acc_seg": 73.19992, "aux.loss_seg": 0.1926, "aux.acc_seg": 67.29537, "loss": 0.45326, "time": 0.40239} +{"mode": "train", "epoch": 104, "iter": 65500, "lr": 4e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.26313, "decode.acc_seg": 72.26163, "aux.loss_seg": 0.19323, "aux.acc_seg": 66.42763, "loss": 0.45636, "time": 0.40076} +{"mode": "train", "epoch": 104, "iter": 65550, "lr": 4e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.25653, "decode.acc_seg": 73.49185, "aux.loss_seg": 0.19479, "aux.acc_seg": 67.27603, "loss": 0.45132, "time": 0.40077} +{"mode": "train", "epoch": 104, "iter": 65600, "lr": 4e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.25964, "decode.acc_seg": 73.23067, "aux.loss_seg": 0.19646, "aux.acc_seg": 67.04166, "loss": 0.4561, "time": 0.40187} +{"mode": "train", "epoch": 105, "iter": 65650, "lr": 4e-05, "memory": 22018, "data_time": 0.1753, "decode.loss_seg": 0.26426, "decode.acc_seg": 72.9757, "aux.loss_seg": 0.19579, "aux.acc_seg": 67.1258, "loss": 0.46005, "time": 0.56798} +{"mode": "train", "epoch": 105, "iter": 65700, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.25475, "decode.acc_seg": 73.00286, "aux.loss_seg": 0.18981, "aux.acc_seg": 67.08691, "loss": 0.44456, "time": 0.40064} +{"mode": "train", "epoch": 105, "iter": 65750, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.25166, "decode.acc_seg": 71.60791, "aux.loss_seg": 0.19258, "aux.acc_seg": 65.37974, "loss": 0.44424, "time": 0.40103} +{"mode": "train", "epoch": 105, "iter": 65800, "lr": 4e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.24908, "decode.acc_seg": 72.12058, "aux.loss_seg": 0.18717, "aux.acc_seg": 66.2841, "loss": 0.43625, "time": 0.40115} +{"mode": "train", "epoch": 105, "iter": 65850, "lr": 4e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.24913, "decode.acc_seg": 71.6604, "aux.loss_seg": 0.19121, "aux.acc_seg": 65.67443, "loss": 0.44034, "time": 0.40004} +{"mode": "train", "epoch": 105, "iter": 65900, "lr": 4e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.25168, "decode.acc_seg": 72.67449, "aux.loss_seg": 0.19176, "aux.acc_seg": 66.40321, "loss": 0.44344, "time": 0.39974} +{"mode": "train", "epoch": 105, "iter": 65950, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.26052, "decode.acc_seg": 71.76425, "aux.loss_seg": 0.19717, "aux.acc_seg": 65.52102, "loss": 0.45769, "time": 0.40024} +{"mode": "train", "epoch": 105, "iter": 66000, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.26997, "decode.acc_seg": 72.71096, "aux.loss_seg": 0.19845, "aux.acc_seg": 66.72667, "loss": 0.46841, "time": 0.40156} +{"mode": "train", "epoch": 105, "iter": 66050, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.25653, "decode.acc_seg": 73.29774, "aux.loss_seg": 0.19404, "aux.acc_seg": 67.30952, "loss": 0.45057, "time": 0.40186} +{"mode": "train", "epoch": 105, "iter": 66100, "lr": 4e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.27058, "decode.acc_seg": 71.70784, "aux.loss_seg": 0.20041, "aux.acc_seg": 65.62753, "loss": 0.47099, "time": 0.40114} +{"mode": "train", "epoch": 105, "iter": 66150, "lr": 4e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.25375, "decode.acc_seg": 71.61142, "aux.loss_seg": 0.19147, "aux.acc_seg": 65.57516, "loss": 0.44521, "time": 0.40038} +{"mode": "train", "epoch": 105, "iter": 66200, "lr": 4e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.26961, "decode.acc_seg": 72.57576, "aux.loss_seg": 0.19904, "aux.acc_seg": 66.66997, "loss": 0.46865, "time": 0.40078} +{"mode": "train", "epoch": 105, "iter": 66250, "lr": 4e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.25882, "decode.acc_seg": 72.88985, "aux.loss_seg": 0.19658, "aux.acc_seg": 66.71015, "loss": 0.4554, "time": 0.4017} +{"mode": "train", "epoch": 106, "iter": 66300, "lr": 4e-05, "memory": 22018, "data_time": 0.17383, "decode.loss_seg": 0.25741, "decode.acc_seg": 73.32071, "aux.loss_seg": 0.19451, "aux.acc_seg": 67.46447, "loss": 0.45192, "time": 0.56672} +{"mode": "train", "epoch": 106, "iter": 66350, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.24665, "decode.acc_seg": 71.23463, "aux.loss_seg": 0.18524, "aux.acc_seg": 65.52246, "loss": 0.4319, "time": 0.40168} +{"mode": "train", "epoch": 106, "iter": 66400, "lr": 4e-05, "memory": 22018, "data_time": 0.00947, "decode.loss_seg": 0.25194, "decode.acc_seg": 72.08758, "aux.loss_seg": 0.19135, "aux.acc_seg": 65.95321, "loss": 0.44329, "time": 0.40037} +{"mode": "train", "epoch": 106, "iter": 66450, "lr": 4e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.25562, "decode.acc_seg": 72.3005, "aux.loss_seg": 0.18697, "aux.acc_seg": 66.81718, "loss": 0.44259, "time": 0.40054} +{"mode": "train", "epoch": 106, "iter": 66500, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.26005, "decode.acc_seg": 72.72116, "aux.loss_seg": 0.19536, "aux.acc_seg": 66.67731, "loss": 0.45541, "time": 0.40048} +{"mode": "train", "epoch": 106, "iter": 66550, "lr": 4e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.25491, "decode.acc_seg": 71.68643, "aux.loss_seg": 0.19669, "aux.acc_seg": 65.38396, "loss": 0.45159, "time": 0.40151} +{"mode": "train", "epoch": 106, "iter": 66600, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.25421, "decode.acc_seg": 71.65967, "aux.loss_seg": 0.19844, "aux.acc_seg": 65.16992, "loss": 0.45265, "time": 0.40099} +{"mode": "train", "epoch": 106, "iter": 66650, "lr": 4e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.26114, "decode.acc_seg": 71.59938, "aux.loss_seg": 0.19512, "aux.acc_seg": 65.48961, "loss": 0.45625, "time": 0.40116} +{"mode": "train", "epoch": 106, "iter": 66700, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.25971, "decode.acc_seg": 71.60835, "aux.loss_seg": 0.19212, "aux.acc_seg": 65.51291, "loss": 0.45183, "time": 0.40108} +{"mode": "train", "epoch": 106, "iter": 66750, "lr": 3e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.25149, "decode.acc_seg": 73.3174, "aux.loss_seg": 0.18716, "aux.acc_seg": 67.4666, "loss": 0.43865, "time": 0.39978} +{"mode": "train", "epoch": 106, "iter": 66800, "lr": 3e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.25891, "decode.acc_seg": 73.12139, "aux.loss_seg": 0.20147, "aux.acc_seg": 66.47985, "loss": 0.46039, "time": 0.40063} +{"mode": "train", "epoch": 106, "iter": 66850, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.26253, "decode.acc_seg": 72.21598, "aux.loss_seg": 0.19995, "aux.acc_seg": 65.8932, "loss": 0.46248, "time": 0.40123} +{"mode": "train", "epoch": 107, "iter": 66900, "lr": 3e-05, "memory": 22018, "data_time": 0.17884, "decode.loss_seg": 0.25481, "decode.acc_seg": 73.85279, "aux.loss_seg": 0.19277, "aux.acc_seg": 67.6738, "loss": 0.44757, "time": 0.57056} +{"mode": "train", "epoch": 107, "iter": 66950, "lr": 3e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.25524, "decode.acc_seg": 71.33822, "aux.loss_seg": 0.1884, "aux.acc_seg": 65.53917, "loss": 0.44364, "time": 0.40057} +{"mode": "train", "epoch": 107, "iter": 67000, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.25263, "decode.acc_seg": 72.54532, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.45281, "loss": 0.44701, "time": 0.4013} +{"mode": "train", "epoch": 107, "iter": 67050, "lr": 3e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.25103, "decode.acc_seg": 72.9095, "aux.loss_seg": 0.19063, "aux.acc_seg": 66.99328, "loss": 0.44166, "time": 0.40104} +{"mode": "train", "epoch": 107, "iter": 67100, "lr": 3e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.25695, "decode.acc_seg": 73.54817, "aux.loss_seg": 0.19517, "aux.acc_seg": 67.34274, "loss": 0.45212, "time": 0.40213} +{"mode": "train", "epoch": 107, "iter": 67150, "lr": 3e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.25513, "decode.acc_seg": 71.66772, "aux.loss_seg": 0.19655, "aux.acc_seg": 65.58512, "loss": 0.45169, "time": 0.40211} +{"mode": "train", "epoch": 107, "iter": 67200, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.25845, "decode.acc_seg": 72.51956, "aux.loss_seg": 0.19378, "aux.acc_seg": 66.4753, "loss": 0.45222, "time": 0.40239} +{"mode": "train", "epoch": 107, "iter": 67250, "lr": 3e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.25216, "decode.acc_seg": 73.07273, "aux.loss_seg": 0.19316, "aux.acc_seg": 66.95999, "loss": 0.44532, "time": 0.40143} +{"mode": "train", "epoch": 107, "iter": 67300, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.25333, "decode.acc_seg": 72.15737, "aux.loss_seg": 0.19183, "aux.acc_seg": 66.11777, "loss": 0.44516, "time": 0.40111} +{"mode": "train", "epoch": 107, "iter": 67350, "lr": 3e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.24699, "decode.acc_seg": 72.34021, "aux.loss_seg": 0.19054, "aux.acc_seg": 66.34117, "loss": 0.43753, "time": 0.40245} +{"mode": "train", "epoch": 107, "iter": 67400, "lr": 3e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.26859, "decode.acc_seg": 72.36061, "aux.loss_seg": 0.20498, "aux.acc_seg": 65.90466, "loss": 0.47357, "time": 0.40137} +{"mode": "train", "epoch": 107, "iter": 67450, "lr": 3e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.25826, "decode.acc_seg": 72.73279, "aux.loss_seg": 0.19051, "aux.acc_seg": 66.90699, "loss": 0.44877, "time": 0.40075} +{"mode": "train", "epoch": 107, "iter": 67500, "lr": 3e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.26712, "decode.acc_seg": 73.31357, "aux.loss_seg": 0.1983, "aux.acc_seg": 67.24974, "loss": 0.46542, "time": 0.40105} +{"mode": "train", "epoch": 108, "iter": 67550, "lr": 3e-05, "memory": 22018, "data_time": 0.17176, "decode.loss_seg": 0.25745, "decode.acc_seg": 71.8046, "aux.loss_seg": 0.1924, "aux.acc_seg": 65.8429, "loss": 0.44984, "time": 0.56567} +{"mode": "train", "epoch": 108, "iter": 67600, "lr": 3e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.2488, "decode.acc_seg": 72.28298, "aux.loss_seg": 0.19128, "aux.acc_seg": 65.94674, "loss": 0.44008, "time": 0.39971} +{"mode": "train", "epoch": 108, "iter": 67650, "lr": 3e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.25525, "decode.acc_seg": 71.99407, "aux.loss_seg": 0.19686, "aux.acc_seg": 65.69411, "loss": 0.45212, "time": 0.39922} +{"mode": "train", "epoch": 108, "iter": 67700, "lr": 3e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.24608, "decode.acc_seg": 71.78131, "aux.loss_seg": 0.18976, "aux.acc_seg": 65.7413, "loss": 0.43583, "time": 0.39907} +{"mode": "train", "epoch": 108, "iter": 67750, "lr": 3e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.26011, "decode.acc_seg": 72.68072, "aux.loss_seg": 0.19236, "aux.acc_seg": 67.00651, "loss": 0.45246, "time": 0.40016} +{"mode": "train", "epoch": 108, "iter": 67800, "lr": 3e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.25272, "decode.acc_seg": 72.91424, "aux.loss_seg": 0.18848, "aux.acc_seg": 67.15838, "loss": 0.4412, "time": 0.3996} +{"mode": "train", "epoch": 108, "iter": 67850, "lr": 3e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.25261, "decode.acc_seg": 72.53532, "aux.loss_seg": 0.19069, "aux.acc_seg": 66.43129, "loss": 0.4433, "time": 0.39924} +{"mode": "train", "epoch": 108, "iter": 67900, "lr": 3e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.25535, "decode.acc_seg": 72.37367, "aux.loss_seg": 0.19067, "aux.acc_seg": 66.40652, "loss": 0.44603, "time": 0.39988} +{"mode": "train", "epoch": 108, "iter": 67950, "lr": 3e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.24974, "decode.acc_seg": 72.00223, "aux.loss_seg": 0.1924, "aux.acc_seg": 65.85143, "loss": 0.44214, "time": 0.40073} +{"mode": "train", "epoch": 108, "iter": 68000, "lr": 3e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.25475, "decode.acc_seg": 72.45151, "aux.loss_seg": 0.19533, "aux.acc_seg": 66.18644, "loss": 0.45008, "time": 0.40265} +{"mode": "train", "epoch": 108, "iter": 68050, "lr": 3e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.25851, "decode.acc_seg": 73.40387, "aux.loss_seg": 0.19768, "aux.acc_seg": 67.05085, "loss": 0.45619, "time": 0.40058} +{"mode": "train", "epoch": 108, "iter": 68100, "lr": 3e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.25424, "decode.acc_seg": 72.54572, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.37311, "loss": 0.44862, "time": 0.40135} +{"mode": "train", "epoch": 109, "iter": 68150, "lr": 3e-05, "memory": 22018, "data_time": 0.17752, "decode.loss_seg": 0.25367, "decode.acc_seg": 73.09735, "aux.loss_seg": 0.18966, "aux.acc_seg": 67.15859, "loss": 0.44334, "time": 0.5708} +{"mode": "train", "epoch": 109, "iter": 68200, "lr": 3e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.25396, "decode.acc_seg": 73.17748, "aux.loss_seg": 0.18895, "aux.acc_seg": 67.48005, "loss": 0.44291, "time": 0.40101} +{"mode": "train", "epoch": 109, "iter": 68250, "lr": 3e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.24959, "decode.acc_seg": 72.80102, "aux.loss_seg": 0.19136, "aux.acc_seg": 66.66214, "loss": 0.44095, "time": 0.40071} +{"mode": "train", "epoch": 109, "iter": 68300, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.24872, "decode.acc_seg": 71.63799, "aux.loss_seg": 0.18805, "aux.acc_seg": 65.42682, "loss": 0.43677, "time": 0.40098} +{"mode": "train", "epoch": 109, "iter": 68350, "lr": 3e-05, "memory": 22018, "data_time": 0.00992, "decode.loss_seg": 0.25152, "decode.acc_seg": 71.7615, "aux.loss_seg": 0.19074, "aux.acc_seg": 65.73893, "loss": 0.44226, "time": 0.40152} +{"mode": "train", "epoch": 109, "iter": 68400, "lr": 3e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.26374, "decode.acc_seg": 73.22947, "aux.loss_seg": 0.20048, "aux.acc_seg": 66.91641, "loss": 0.46422, "time": 0.4004} +{"mode": "train", "epoch": 109, "iter": 68450, "lr": 3e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.24924, "decode.acc_seg": 72.66206, "aux.loss_seg": 0.18656, "aux.acc_seg": 66.82193, "loss": 0.43579, "time": 0.40144} +{"mode": "train", "epoch": 109, "iter": 68500, "lr": 3e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.24664, "decode.acc_seg": 72.1873, "aux.loss_seg": 0.18912, "aux.acc_seg": 66.05542, "loss": 0.43577, "time": 0.4022} +{"mode": "train", "epoch": 109, "iter": 68550, "lr": 3e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.25068, "decode.acc_seg": 72.65874, "aux.loss_seg": 0.18995, "aux.acc_seg": 66.57954, "loss": 0.44063, "time": 0.40258} +{"mode": "train", "epoch": 109, "iter": 68600, "lr": 3e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.25569, "decode.acc_seg": 72.62361, "aux.loss_seg": 0.19074, "aux.acc_seg": 66.63227, "loss": 0.44644, "time": 0.40214} +{"mode": "train", "epoch": 109, "iter": 68650, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.25669, "decode.acc_seg": 72.25421, "aux.loss_seg": 0.19692, "aux.acc_seg": 65.90042, "loss": 0.45362, "time": 0.4015} +{"mode": "train", "epoch": 109, "iter": 68700, "lr": 3e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.25708, "decode.acc_seg": 72.78364, "aux.loss_seg": 0.19545, "aux.acc_seg": 66.65734, "loss": 0.45254, "time": 0.40104} +{"mode": "train", "epoch": 109, "iter": 68750, "lr": 3e-05, "memory": 22018, "data_time": 0.01007, "decode.loss_seg": 0.25844, "decode.acc_seg": 73.07368, "aux.loss_seg": 0.19439, "aux.acc_seg": 67.00742, "loss": 0.45283, "time": 0.4014} +{"mode": "train", "epoch": 110, "iter": 68800, "lr": 3e-05, "memory": 22018, "data_time": 0.17106, "decode.loss_seg": 0.2386, "decode.acc_seg": 73.56559, "aux.loss_seg": 0.18577, "aux.acc_seg": 67.54895, "loss": 0.42437, "time": 0.56381} +{"mode": "train", "epoch": 110, "iter": 68850, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.25107, "decode.acc_seg": 72.84471, "aux.loss_seg": 0.18944, "aux.acc_seg": 66.97809, "loss": 0.44051, "time": 0.40186} +{"mode": "train", "epoch": 110, "iter": 68900, "lr": 3e-05, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.2434, "decode.acc_seg": 72.33499, "aux.loss_seg": 0.18517, "aux.acc_seg": 66.49004, "loss": 0.42857, "time": 0.4022} +{"mode": "train", "epoch": 110, "iter": 68950, "lr": 3e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.25, "decode.acc_seg": 71.74131, "aux.loss_seg": 0.18753, "aux.acc_seg": 66.01443, "loss": 0.43754, "time": 0.40216} +{"mode": "train", "epoch": 110, "iter": 69000, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.25291, "decode.acc_seg": 73.49397, "aux.loss_seg": 0.19482, "aux.acc_seg": 67.36134, "loss": 0.44774, "time": 0.40097} +{"mode": "train", "epoch": 110, "iter": 69050, "lr": 3e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.24869, "decode.acc_seg": 71.95713, "aux.loss_seg": 0.18732, "aux.acc_seg": 66.18303, "loss": 0.436, "time": 0.40224} +{"mode": "train", "epoch": 110, "iter": 69100, "lr": 3e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.24196, "decode.acc_seg": 74.11067, "aux.loss_seg": 0.18999, "aux.acc_seg": 67.85962, "loss": 0.43195, "time": 0.40125} +{"mode": "train", "epoch": 110, "iter": 69150, "lr": 3e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.25006, "decode.acc_seg": 71.88609, "aux.loss_seg": 0.18787, "aux.acc_seg": 65.9291, "loss": 0.43793, "time": 0.40143} +{"mode": "train", "epoch": 110, "iter": 69200, "lr": 3e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.26196, "decode.acc_seg": 72.6824, "aux.loss_seg": 0.19953, "aux.acc_seg": 66.43938, "loss": 0.46149, "time": 0.40117} +{"mode": "train", "epoch": 110, "iter": 69250, "lr": 3e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.2586, "decode.acc_seg": 72.10435, "aux.loss_seg": 0.19558, "aux.acc_seg": 65.98866, "loss": 0.45418, "time": 0.40259} +{"mode": "train", "epoch": 110, "iter": 69300, "lr": 3e-05, "memory": 22018, "data_time": 0.01067, "decode.loss_seg": 0.25264, "decode.acc_seg": 72.70545, "aux.loss_seg": 0.1903, "aux.acc_seg": 66.66826, "loss": 0.44295, "time": 0.40165} +{"mode": "train", "epoch": 110, "iter": 69350, "lr": 3e-05, "memory": 22018, "data_time": 0.01109, "decode.loss_seg": 0.24983, "decode.acc_seg": 73.14177, "aux.loss_seg": 0.18891, "aux.acc_seg": 67.26664, "loss": 0.43874, "time": 0.40188} +{"mode": "train", "epoch": 110, "iter": 69400, "lr": 3e-05, "memory": 22018, "data_time": 0.01058, "decode.loss_seg": 0.25902, "decode.acc_seg": 72.99319, "aux.loss_seg": 0.19344, "aux.acc_seg": 66.97432, "loss": 0.45247, "time": 0.40163} +{"mode": "train", "epoch": 111, "iter": 69450, "lr": 3e-05, "memory": 22018, "data_time": 0.1748, "decode.loss_seg": 0.25209, "decode.acc_seg": 72.99345, "aux.loss_seg": 0.19279, "aux.acc_seg": 66.89059, "loss": 0.44488, "time": 0.56701} +{"mode": "train", "epoch": 111, "iter": 69500, "lr": 3e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.25241, "decode.acc_seg": 73.01149, "aux.loss_seg": 0.19228, "aux.acc_seg": 66.99072, "loss": 0.4447, "time": 0.4004} +{"mode": "train", "epoch": 111, "iter": 69550, "lr": 3e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.24822, "decode.acc_seg": 73.25157, "aux.loss_seg": 0.19231, "aux.acc_seg": 66.912, "loss": 0.44053, "time": 0.40034} +{"mode": "train", "epoch": 111, "iter": 69600, "lr": 3e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.25288, "decode.acc_seg": 72.46603, "aux.loss_seg": 0.18826, "aux.acc_seg": 66.55198, "loss": 0.44114, "time": 0.40052} +{"mode": "train", "epoch": 111, "iter": 69650, "lr": 3e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.24649, "decode.acc_seg": 72.53824, "aux.loss_seg": 0.18644, "aux.acc_seg": 66.55141, "loss": 0.43293, "time": 0.40092} +{"mode": "train", "epoch": 111, "iter": 69700, "lr": 3e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.26344, "decode.acc_seg": 72.88446, "aux.loss_seg": 0.19835, "aux.acc_seg": 66.67324, "loss": 0.46179, "time": 0.40118} +{"mode": "train", "epoch": 111, "iter": 69750, "lr": 3e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.25176, "decode.acc_seg": 72.84642, "aux.loss_seg": 0.19341, "aux.acc_seg": 66.64594, "loss": 0.44517, "time": 0.40179} +{"mode": "train", "epoch": 111, "iter": 69800, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.2548, "decode.acc_seg": 71.31098, "aux.loss_seg": 0.19271, "aux.acc_seg": 65.325, "loss": 0.44751, "time": 0.40102} +{"mode": "train", "epoch": 111, "iter": 69850, "lr": 3e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.25627, "decode.acc_seg": 72.08701, "aux.loss_seg": 0.19094, "aux.acc_seg": 66.25728, "loss": 0.44721, "time": 0.40195} +{"mode": "train", "epoch": 111, "iter": 69900, "lr": 3e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.26146, "decode.acc_seg": 72.717, "aux.loss_seg": 0.19953, "aux.acc_seg": 66.33739, "loss": 0.46099, "time": 0.40124} +{"mode": "train", "epoch": 111, "iter": 69950, "lr": 3e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.24827, "decode.acc_seg": 71.67015, "aux.loss_seg": 0.18556, "aux.acc_seg": 66.01769, "loss": 0.43383, "time": 0.40088} +{"mode": "train", "epoch": 111, "iter": 70000, "lr": 3e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.24962, "decode.acc_seg": 72.0114, "aux.loss_seg": 0.19028, "aux.acc_seg": 65.97932, "loss": 0.4399, "time": 0.40133} +{"mode": "train", "epoch": 112, "iter": 70050, "lr": 3e-05, "memory": 22018, "data_time": 0.1807, "decode.loss_seg": 0.23629, "decode.acc_seg": 72.30096, "aux.loss_seg": 0.18315, "aux.acc_seg": 66.43809, "loss": 0.41944, "time": 0.57389} +{"mode": "train", "epoch": 112, "iter": 70100, "lr": 3e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.25757, "decode.acc_seg": 73.23544, "aux.loss_seg": 0.19192, "aux.acc_seg": 67.33365, "loss": 0.44949, "time": 0.4033} +{"mode": "train", "epoch": 112, "iter": 70150, "lr": 3e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.2466, "decode.acc_seg": 72.65221, "aux.loss_seg": 0.18541, "aux.acc_seg": 66.77966, "loss": 0.43201, "time": 0.40251} +{"mode": "train", "epoch": 112, "iter": 70200, "lr": 3e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.24544, "decode.acc_seg": 73.26083, "aux.loss_seg": 0.19064, "aux.acc_seg": 67.17549, "loss": 0.43608, "time": 0.40178} +{"mode": "train", "epoch": 112, "iter": 70250, "lr": 3e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.25132, "decode.acc_seg": 71.28359, "aux.loss_seg": 0.19481, "aux.acc_seg": 65.14244, "loss": 0.44614, "time": 0.40262} +{"mode": "train", "epoch": 112, "iter": 70300, "lr": 3e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.24908, "decode.acc_seg": 72.55799, "aux.loss_seg": 0.18596, "aux.acc_seg": 66.76639, "loss": 0.43505, "time": 0.40216} +{"mode": "train", "epoch": 112, "iter": 70350, "lr": 3e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.26038, "decode.acc_seg": 73.09848, "aux.loss_seg": 0.1966, "aux.acc_seg": 66.79556, "loss": 0.45698, "time": 0.40234} +{"mode": "train", "epoch": 112, "iter": 70400, "lr": 3e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.25728, "decode.acc_seg": 72.19053, "aux.loss_seg": 0.19584, "aux.acc_seg": 66.08999, "loss": 0.45312, "time": 0.40342} +{"mode": "train", "epoch": 112, "iter": 70450, "lr": 3e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.24244, "decode.acc_seg": 72.33048, "aux.loss_seg": 0.18107, "aux.acc_seg": 66.78595, "loss": 0.4235, "time": 0.40361} +{"mode": "train", "epoch": 112, "iter": 70500, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.26396, "decode.acc_seg": 73.05142, "aux.loss_seg": 0.19907, "aux.acc_seg": 66.85181, "loss": 0.46303, "time": 0.40325} +{"mode": "train", "epoch": 112, "iter": 70550, "lr": 3e-05, "memory": 22018, "data_time": 0.01014, "decode.loss_seg": 0.24836, "decode.acc_seg": 72.47375, "aux.loss_seg": 0.18619, "aux.acc_seg": 66.72659, "loss": 0.43455, "time": 0.40206} +{"mode": "train", "epoch": 112, "iter": 70600, "lr": 3e-05, "memory": 22018, "data_time": 0.01012, "decode.loss_seg": 0.25491, "decode.acc_seg": 72.78262, "aux.loss_seg": 0.1937, "aux.acc_seg": 66.59594, "loss": 0.44861, "time": 0.40228} +{"mode": "train", "epoch": 112, "iter": 70650, "lr": 3e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.26465, "decode.acc_seg": 71.34751, "aux.loss_seg": 0.19532, "aux.acc_seg": 65.33989, "loss": 0.45997, "time": 0.40139} +{"mode": "train", "epoch": 113, "iter": 70700, "lr": 3e-05, "memory": 22018, "data_time": 0.17743, "decode.loss_seg": 0.24052, "decode.acc_seg": 73.20098, "aux.loss_seg": 0.18324, "aux.acc_seg": 67.24421, "loss": 0.42376, "time": 0.57101} +{"mode": "train", "epoch": 113, "iter": 70750, "lr": 3e-05, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.24646, "decode.acc_seg": 72.03287, "aux.loss_seg": 0.18808, "aux.acc_seg": 66.15821, "loss": 0.43454, "time": 0.40106} +{"mode": "train", "epoch": 113, "iter": 70800, "lr": 3e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.25146, "decode.acc_seg": 73.35796, "aux.loss_seg": 0.18844, "aux.acc_seg": 67.40666, "loss": 0.4399, "time": 0.40098} +{"mode": "train", "epoch": 113, "iter": 70850, "lr": 3e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.25042, "decode.acc_seg": 71.83284, "aux.loss_seg": 0.19119, "aux.acc_seg": 65.64334, "loss": 0.44161, "time": 0.40135} +{"mode": "train", "epoch": 113, "iter": 70900, "lr": 3e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.25535, "decode.acc_seg": 73.06845, "aux.loss_seg": 0.19, "aux.acc_seg": 67.32877, "loss": 0.44535, "time": 0.40216} +{"mode": "train", "epoch": 113, "iter": 70950, "lr": 3e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.256, "decode.acc_seg": 72.44139, "aux.loss_seg": 0.1961, "aux.acc_seg": 66.13117, "loss": 0.4521, "time": 0.40262} +{"mode": "train", "epoch": 113, "iter": 71000, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.25284, "decode.acc_seg": 71.72888, "aux.loss_seg": 0.18831, "aux.acc_seg": 65.97617, "loss": 0.44114, "time": 0.40084} +{"mode": "train", "epoch": 113, "iter": 71050, "lr": 3e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.25441, "decode.acc_seg": 72.82797, "aux.loss_seg": 0.1973, "aux.acc_seg": 66.63753, "loss": 0.45171, "time": 0.40166} +{"mode": "train", "epoch": 113, "iter": 71100, "lr": 3e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.24598, "decode.acc_seg": 72.38134, "aux.loss_seg": 0.18639, "aux.acc_seg": 66.43119, "loss": 0.43237, "time": 0.40228} +{"mode": "train", "epoch": 113, "iter": 71150, "lr": 3e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.2499, "decode.acc_seg": 73.61346, "aux.loss_seg": 0.18776, "aux.acc_seg": 67.59394, "loss": 0.43766, "time": 0.40226} +{"mode": "train", "epoch": 113, "iter": 71200, "lr": 3e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.25222, "decode.acc_seg": 71.72903, "aux.loss_seg": 0.1843, "aux.acc_seg": 66.19209, "loss": 0.43651, "time": 0.40149} +{"mode": "train", "epoch": 113, "iter": 71250, "lr": 3e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.24546, "decode.acc_seg": 72.71693, "aux.loss_seg": 0.18218, "aux.acc_seg": 67.07486, "loss": 0.42764, "time": 0.40122} +{"mode": "train", "epoch": 113, "iter": 71300, "lr": 3e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.25519, "decode.acc_seg": 73.41953, "aux.loss_seg": 0.1954, "aux.acc_seg": 67.17371, "loss": 0.45059, "time": 0.40099} +{"mode": "train", "epoch": 114, "iter": 71350, "lr": 3e-05, "memory": 22018, "data_time": 0.17789, "decode.loss_seg": 0.25226, "decode.acc_seg": 72.81804, "aux.loss_seg": 0.18966, "aux.acc_seg": 66.79542, "loss": 0.44192, "time": 0.57032} +{"mode": "train", "epoch": 114, "iter": 71400, "lr": 3e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.24821, "decode.acc_seg": 72.37308, "aux.loss_seg": 0.18948, "aux.acc_seg": 66.33006, "loss": 0.43769, "time": 0.39882} +{"mode": "train", "epoch": 114, "iter": 71450, "lr": 3e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.24972, "decode.acc_seg": 72.26883, "aux.loss_seg": 0.18891, "aux.acc_seg": 66.32209, "loss": 0.43863, "time": 0.39883} +{"mode": "train", "epoch": 114, "iter": 71500, "lr": 3e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.26029, "decode.acc_seg": 72.3425, "aux.loss_seg": 0.19423, "aux.acc_seg": 66.39628, "loss": 0.45452, "time": 0.40015} +{"mode": "train", "epoch": 114, "iter": 71550, "lr": 3e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.25594, "decode.acc_seg": 72.19269, "aux.loss_seg": 0.19206, "aux.acc_seg": 66.29042, "loss": 0.44801, "time": 0.40062} +{"mode": "train", "epoch": 114, "iter": 71600, "lr": 3e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.25783, "decode.acc_seg": 72.14441, "aux.loss_seg": 0.19287, "aux.acc_seg": 66.18027, "loss": 0.4507, "time": 0.40134} +{"mode": "train", "epoch": 114, "iter": 71650, "lr": 3e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.2481, "decode.acc_seg": 73.29654, "aux.loss_seg": 0.18963, "aux.acc_seg": 67.39955, "loss": 0.43773, "time": 0.39976} +{"mode": "train", "epoch": 114, "iter": 71700, "lr": 3e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.24427, "decode.acc_seg": 73.65169, "aux.loss_seg": 0.18711, "aux.acc_seg": 67.6602, "loss": 0.43138, "time": 0.4009} +{"mode": "train", "epoch": 114, "iter": 71750, "lr": 3e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.23938, "decode.acc_seg": 73.54312, "aux.loss_seg": 0.1853, "aux.acc_seg": 67.58363, "loss": 0.42469, "time": 0.40093} +{"mode": "train", "epoch": 114, "iter": 71800, "lr": 3e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.24874, "decode.acc_seg": 72.67531, "aux.loss_seg": 0.19121, "aux.acc_seg": 66.5182, "loss": 0.43994, "time": 0.40045} +{"mode": "train", "epoch": 114, "iter": 71850, "lr": 3e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.25081, "decode.acc_seg": 73.64183, "aux.loss_seg": 0.188, "aux.acc_seg": 67.85902, "loss": 0.43881, "time": 0.39952} +{"mode": "train", "epoch": 114, "iter": 71900, "lr": 3e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.24056, "decode.acc_seg": 72.93209, "aux.loss_seg": 0.17762, "aux.acc_seg": 67.50683, "loss": 0.41819, "time": 0.40041} +{"mode": "train", "epoch": 115, "iter": 71950, "lr": 3e-05, "memory": 22018, "data_time": 0.1813, "decode.loss_seg": 0.2561, "decode.acc_seg": 72.58841, "aux.loss_seg": 0.19585, "aux.acc_seg": 66.32172, "loss": 0.45195, "time": 0.57671} +{"mode": "train", "epoch": 115, "iter": 72000, "lr": 3e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.24559, "decode.acc_seg": 73.65256, "aux.loss_seg": 0.18927, "aux.acc_seg": 67.496, "loss": 0.43486, "time": 0.40069} +{"mode": "train", "epoch": 115, "iter": 72050, "lr": 3e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.24313, "decode.acc_seg": 72.18819, "aux.loss_seg": 0.18301, "aux.acc_seg": 66.51355, "loss": 0.42613, "time": 0.4006} +{"mode": "train", "epoch": 115, "iter": 72100, "lr": 3e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.23942, "decode.acc_seg": 72.84312, "aux.loss_seg": 0.18694, "aux.acc_seg": 66.82858, "loss": 0.42637, "time": 0.40017} +{"mode": "train", "epoch": 115, "iter": 72150, "lr": 3e-05, "memory": 22018, "data_time": 0.01008, "decode.loss_seg": 0.24385, "decode.acc_seg": 72.58773, "aux.loss_seg": 0.18826, "aux.acc_seg": 66.61359, "loss": 0.43211, "time": 0.40028} +{"mode": "train", "epoch": 115, "iter": 72200, "lr": 3e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.25677, "decode.acc_seg": 72.50091, "aux.loss_seg": 0.19148, "aux.acc_seg": 66.77876, "loss": 0.44825, "time": 0.40102} +{"mode": "train", "epoch": 115, "iter": 72250, "lr": 3e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.24153, "decode.acc_seg": 71.92263, "aux.loss_seg": 0.18152, "aux.acc_seg": 66.07107, "loss": 0.42304, "time": 0.4007} +{"mode": "train", "epoch": 115, "iter": 72300, "lr": 3e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.24214, "decode.acc_seg": 72.5623, "aux.loss_seg": 0.18845, "aux.acc_seg": 66.14716, "loss": 0.43059, "time": 0.40056} +{"mode": "train", "epoch": 115, "iter": 72350, "lr": 3e-05, "memory": 22018, "data_time": 0.0097, "decode.loss_seg": 0.24584, "decode.acc_seg": 72.9559, "aux.loss_seg": 0.19138, "aux.acc_seg": 66.6148, "loss": 0.43722, "time": 0.4003} +{"mode": "train", "epoch": 115, "iter": 72400, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.24463, "decode.acc_seg": 72.2317, "aux.loss_seg": 0.18511, "aux.acc_seg": 66.38786, "loss": 0.42975, "time": 0.40093} +{"mode": "train", "epoch": 115, "iter": 72450, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.25715, "decode.acc_seg": 72.49238, "aux.loss_seg": 0.19014, "aux.acc_seg": 66.57431, "loss": 0.44729, "time": 0.40044} +{"mode": "train", "epoch": 115, "iter": 72500, "lr": 3e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.25908, "decode.acc_seg": 72.31303, "aux.loss_seg": 0.19564, "aux.acc_seg": 66.0479, "loss": 0.45472, "time": 0.40177} +{"mode": "train", "epoch": 115, "iter": 72550, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.24792, "decode.acc_seg": 72.31605, "aux.loss_seg": 0.19337, "aux.acc_seg": 65.95867, "loss": 0.44129, "time": 0.39977} +{"mode": "train", "epoch": 116, "iter": 72600, "lr": 3e-05, "memory": 22018, "data_time": 0.17, "decode.loss_seg": 0.25816, "decode.acc_seg": 72.60875, "aux.loss_seg": 0.19372, "aux.acc_seg": 66.53163, "loss": 0.45188, "time": 0.56247} +{"mode": "train", "epoch": 116, "iter": 72650, "lr": 3e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.25437, "decode.acc_seg": 71.83801, "aux.loss_seg": 0.19126, "aux.acc_seg": 65.94246, "loss": 0.44563, "time": 0.40099} +{"mode": "train", "epoch": 116, "iter": 72700, "lr": 3e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.25394, "decode.acc_seg": 72.89487, "aux.loss_seg": 0.18699, "aux.acc_seg": 67.20343, "loss": 0.44093, "time": 0.40012} +{"mode": "train", "epoch": 116, "iter": 72750, "lr": 3e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.24677, "decode.acc_seg": 72.5453, "aux.loss_seg": 0.18844, "aux.acc_seg": 66.6836, "loss": 0.4352, "time": 0.40022} +{"mode": "train", "epoch": 116, "iter": 72800, "lr": 3e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.23425, "decode.acc_seg": 73.36972, "aux.loss_seg": 0.18077, "aux.acc_seg": 67.49598, "loss": 0.41502, "time": 0.40121} +{"mode": "train", "epoch": 116, "iter": 72850, "lr": 3e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.24129, "decode.acc_seg": 73.48553, "aux.loss_seg": 0.18146, "aux.acc_seg": 67.78246, "loss": 0.42275, "time": 0.40308} +{"mode": "train", "epoch": 116, "iter": 72900, "lr": 3e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.25249, "decode.acc_seg": 73.51946, "aux.loss_seg": 0.19431, "aux.acc_seg": 67.1821, "loss": 0.44679, "time": 0.4018} +{"mode": "train", "epoch": 116, "iter": 72950, "lr": 3e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.23453, "decode.acc_seg": 72.9361, "aux.loss_seg": 0.17976, "aux.acc_seg": 67.20357, "loss": 0.41429, "time": 0.40124} +{"mode": "train", "epoch": 116, "iter": 73000, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.24363, "decode.acc_seg": 72.4089, "aux.loss_seg": 0.18389, "aux.acc_seg": 66.49912, "loss": 0.42752, "time": 0.40054} +{"mode": "train", "epoch": 116, "iter": 73050, "lr": 3e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.24359, "decode.acc_seg": 72.70549, "aux.loss_seg": 0.18418, "aux.acc_seg": 66.8866, "loss": 0.42777, "time": 0.40116} +{"mode": "train", "epoch": 116, "iter": 73100, "lr": 3e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.2304, "decode.acc_seg": 72.53951, "aux.loss_seg": 0.18276, "aux.acc_seg": 66.35753, "loss": 0.41316, "time": 0.40074} +{"mode": "train", "epoch": 116, "iter": 73150, "lr": 3e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.23402, "decode.acc_seg": 72.66765, "aux.loss_seg": 0.18217, "aux.acc_seg": 66.58082, "loss": 0.41618, "time": 0.40086} +{"mode": "train", "epoch": 117, "iter": 73200, "lr": 3e-05, "memory": 22018, "data_time": 0.17374, "decode.loss_seg": 0.24004, "decode.acc_seg": 72.42046, "aux.loss_seg": 0.18174, "aux.acc_seg": 66.68803, "loss": 0.42178, "time": 0.56832} +{"mode": "train", "epoch": 117, "iter": 73250, "lr": 3e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.23133, "decode.acc_seg": 71.92563, "aux.loss_seg": 0.18354, "aux.acc_seg": 65.63776, "loss": 0.41487, "time": 0.40199} +{"mode": "train", "epoch": 117, "iter": 73300, "lr": 3e-05, "memory": 22018, "data_time": 0.01016, "decode.loss_seg": 0.25258, "decode.acc_seg": 73.36668, "aux.loss_seg": 0.19794, "aux.acc_seg": 66.82085, "loss": 0.45052, "time": 0.40188} +{"mode": "train", "epoch": 117, "iter": 73350, "lr": 3e-05, "memory": 22018, "data_time": 0.01063, "decode.loss_seg": 0.24283, "decode.acc_seg": 74.05095, "aux.loss_seg": 0.19293, "aux.acc_seg": 67.77152, "loss": 0.43576, "time": 0.40305} +{"mode": "train", "epoch": 117, "iter": 73400, "lr": 3e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.24388, "decode.acc_seg": 72.81233, "aux.loss_seg": 0.18885, "aux.acc_seg": 66.57697, "loss": 0.43273, "time": 0.40284} +{"mode": "train", "epoch": 117, "iter": 73450, "lr": 3e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.24015, "decode.acc_seg": 72.21216, "aux.loss_seg": 0.18399, "aux.acc_seg": 66.36715, "loss": 0.42413, "time": 0.40224} +{"mode": "train", "epoch": 117, "iter": 73500, "lr": 3e-05, "memory": 22018, "data_time": 0.01061, "decode.loss_seg": 0.25344, "decode.acc_seg": 72.6614, "aux.loss_seg": 0.19079, "aux.acc_seg": 66.66979, "loss": 0.44423, "time": 0.40331} +{"mode": "train", "epoch": 117, "iter": 73550, "lr": 3e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.25381, "decode.acc_seg": 72.87626, "aux.loss_seg": 0.19133, "aux.acc_seg": 66.89695, "loss": 0.44514, "time": 0.40206} +{"mode": "train", "epoch": 117, "iter": 73600, "lr": 3e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.26089, "decode.acc_seg": 72.33325, "aux.loss_seg": 0.18839, "aux.acc_seg": 66.71371, "loss": 0.44929, "time": 0.40304} +{"mode": "train", "epoch": 117, "iter": 73650, "lr": 3e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.24317, "decode.acc_seg": 72.79553, "aux.loss_seg": 0.18404, "aux.acc_seg": 66.94497, "loss": 0.42721, "time": 0.40282} +{"mode": "train", "epoch": 117, "iter": 73700, "lr": 3e-05, "memory": 22018, "data_time": 0.01004, "decode.loss_seg": 0.24742, "decode.acc_seg": 73.21503, "aux.loss_seg": 0.18408, "aux.acc_seg": 67.63914, "loss": 0.4315, "time": 0.40201} +{"mode": "train", "epoch": 117, "iter": 73750, "lr": 3e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.2498, "decode.acc_seg": 72.21875, "aux.loss_seg": 0.1917, "aux.acc_seg": 66.16237, "loss": 0.4415, "time": 0.40175} +{"mode": "train", "epoch": 117, "iter": 73800, "lr": 3e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.25556, "decode.acc_seg": 73.49524, "aux.loss_seg": 0.19735, "aux.acc_seg": 66.97272, "loss": 0.45291, "time": 0.4016} +{"mode": "train", "epoch": 118, "iter": 73850, "lr": 3e-05, "memory": 22018, "data_time": 0.16872, "decode.loss_seg": 0.23699, "decode.acc_seg": 71.59342, "aux.loss_seg": 0.17835, "aux.acc_seg": 66.07137, "loss": 0.41534, "time": 0.56089} +{"mode": "train", "epoch": 118, "iter": 73900, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.23598, "decode.acc_seg": 72.56379, "aux.loss_seg": 0.1795, "aux.acc_seg": 66.90417, "loss": 0.41548, "time": 0.40022} +{"mode": "train", "epoch": 118, "iter": 73950, "lr": 3e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.25257, "decode.acc_seg": 72.35307, "aux.loss_seg": 0.1902, "aux.acc_seg": 66.16601, "loss": 0.44277, "time": 0.39942} +{"mode": "train", "epoch": 118, "iter": 74000, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.23966, "decode.acc_seg": 72.80678, "aux.loss_seg": 0.18771, "aux.acc_seg": 66.70516, "loss": 0.42737, "time": 0.40048} +{"mode": "train", "epoch": 118, "iter": 74050, "lr": 3e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.24976, "decode.acc_seg": 73.08705, "aux.loss_seg": 0.1942, "aux.acc_seg": 66.79651, "loss": 0.44396, "time": 0.40108} +{"mode": "train", "epoch": 118, "iter": 74100, "lr": 3e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.24479, "decode.acc_seg": 72.03459, "aux.loss_seg": 0.18787, "aux.acc_seg": 66.13714, "loss": 0.43266, "time": 0.40108} +{"mode": "train", "epoch": 118, "iter": 74150, "lr": 3e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.24798, "decode.acc_seg": 72.89386, "aux.loss_seg": 0.1886, "aux.acc_seg": 67.03014, "loss": 0.43658, "time": 0.40055} +{"mode": "train", "epoch": 118, "iter": 74200, "lr": 3e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.24817, "decode.acc_seg": 72.03159, "aux.loss_seg": 0.18495, "aux.acc_seg": 66.23414, "loss": 0.43313, "time": 0.40043} +{"mode": "train", "epoch": 118, "iter": 74250, "lr": 3e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.24992, "decode.acc_seg": 72.4082, "aux.loss_seg": 0.18938, "aux.acc_seg": 66.55907, "loss": 0.4393, "time": 0.40038} +{"mode": "train", "epoch": 118, "iter": 74300, "lr": 3e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.23843, "decode.acc_seg": 72.96098, "aux.loss_seg": 0.17843, "aux.acc_seg": 67.38203, "loss": 0.41686, "time": 0.40007} +{"mode": "train", "epoch": 118, "iter": 74350, "lr": 3e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.24212, "decode.acc_seg": 72.34639, "aux.loss_seg": 0.18275, "aux.acc_seg": 66.55739, "loss": 0.42487, "time": 0.39993} +{"mode": "train", "epoch": 118, "iter": 74400, "lr": 3e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.25124, "decode.acc_seg": 72.56996, "aux.loss_seg": 0.19117, "aux.acc_seg": 66.68534, "loss": 0.44241, "time": 0.39954} +{"mode": "train", "epoch": 118, "iter": 74450, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.25246, "decode.acc_seg": 72.22661, "aux.loss_seg": 0.19056, "aux.acc_seg": 66.3225, "loss": 0.44302, "time": 0.39974} +{"mode": "train", "epoch": 119, "iter": 74500, "lr": 3e-05, "memory": 22018, "data_time": 0.17724, "decode.loss_seg": 0.23326, "decode.acc_seg": 73.50627, "aux.loss_seg": 0.17766, "aux.acc_seg": 67.84163, "loss": 0.41092, "time": 0.56957} +{"mode": "train", "epoch": 119, "iter": 74550, "lr": 3e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.24527, "decode.acc_seg": 73.26557, "aux.loss_seg": 0.18738, "aux.acc_seg": 67.29819, "loss": 0.43265, "time": 0.40072} +{"mode": "train", "epoch": 119, "iter": 74600, "lr": 3e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.24405, "decode.acc_seg": 72.21595, "aux.loss_seg": 0.17993, "aux.acc_seg": 66.78318, "loss": 0.42397, "time": 0.40046} +{"mode": "train", "epoch": 119, "iter": 74650, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.24622, "decode.acc_seg": 72.2515, "aux.loss_seg": 0.18628, "aux.acc_seg": 66.26782, "loss": 0.4325, "time": 0.4001} +{"mode": "train", "epoch": 119, "iter": 74700, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.24631, "decode.acc_seg": 72.98351, "aux.loss_seg": 0.18643, "aux.acc_seg": 67.19953, "loss": 0.43274, "time": 0.40091} +{"mode": "train", "epoch": 119, "iter": 74750, "lr": 3e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.2372, "decode.acc_seg": 72.60891, "aux.loss_seg": 0.18059, "aux.acc_seg": 66.78431, "loss": 0.41779, "time": 0.40103} +{"mode": "train", "epoch": 119, "iter": 74800, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.23915, "decode.acc_seg": 72.7779, "aux.loss_seg": 0.18519, "aux.acc_seg": 66.82402, "loss": 0.42434, "time": 0.40013} +{"mode": "train", "epoch": 119, "iter": 74850, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.23674, "decode.acc_seg": 71.95512, "aux.loss_seg": 0.18416, "aux.acc_seg": 66.09631, "loss": 0.4209, "time": 0.40105} +{"mode": "train", "epoch": 119, "iter": 74900, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.25519, "decode.acc_seg": 73.25828, "aux.loss_seg": 0.19302, "aux.acc_seg": 67.09424, "loss": 0.44821, "time": 0.40097} +{"mode": "train", "epoch": 119, "iter": 74950, "lr": 3e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.24395, "decode.acc_seg": 72.16299, "aux.loss_seg": 0.18678, "aux.acc_seg": 66.20811, "loss": 0.43072, "time": 0.40243} +{"mode": "train", "epoch": 119, "iter": 75000, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.24483, "decode.acc_seg": 73.24831, "aux.loss_seg": 0.18534, "aux.acc_seg": 67.30844, "loss": 0.43017, "time": 0.40087} +{"mode": "train", "epoch": 119, "iter": 75050, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.23654, "decode.acc_seg": 73.1147, "aux.loss_seg": 0.18567, "aux.acc_seg": 67.05013, "loss": 0.4222, "time": 0.40044} +{"mode": "train", "epoch": 120, "iter": 75100, "lr": 3e-05, "memory": 22018, "data_time": 0.17988, "decode.loss_seg": 0.24854, "decode.acc_seg": 73.4902, "aux.loss_seg": 0.18784, "aux.acc_seg": 67.48176, "loss": 0.43638, "time": 0.57223} +{"mode": "train", "epoch": 120, "iter": 75150, "lr": 3e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.24098, "decode.acc_seg": 72.45479, "aux.loss_seg": 0.18567, "aux.acc_seg": 66.43945, "loss": 0.42666, "time": 0.40282} +{"mode": "train", "epoch": 120, "iter": 75200, "lr": 3e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.24444, "decode.acc_seg": 73.05824, "aux.loss_seg": 0.18116, "aux.acc_seg": 67.48576, "loss": 0.42561, "time": 0.40286} +{"mode": "train", "epoch": 120, "iter": 75250, "lr": 3e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.24244, "decode.acc_seg": 73.16684, "aux.loss_seg": 0.18524, "aux.acc_seg": 67.30099, "loss": 0.42768, "time": 0.40301} +{"mode": "train", "epoch": 120, "iter": 75300, "lr": 3e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.24985, "decode.acc_seg": 73.15302, "aux.loss_seg": 0.19337, "aux.acc_seg": 66.77501, "loss": 0.44322, "time": 0.40256} +{"mode": "train", "epoch": 120, "iter": 75350, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.24402, "decode.acc_seg": 73.75373, "aux.loss_seg": 0.19191, "aux.acc_seg": 67.49331, "loss": 0.43592, "time": 0.40325} +{"mode": "train", "epoch": 120, "iter": 75400, "lr": 3e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.75632, "aux.loss_seg": 0.18985, "aux.acc_seg": 66.85312, "loss": 0.4392, "time": 0.40254} +{"mode": "train", "epoch": 120, "iter": 75450, "lr": 3e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.24382, "decode.acc_seg": 72.69563, "aux.loss_seg": 0.19018, "aux.acc_seg": 66.51144, "loss": 0.434, "time": 0.40241} +{"mode": "train", "epoch": 120, "iter": 75500, "lr": 3e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.25323, "decode.acc_seg": 72.2462, "aux.loss_seg": 0.18657, "aux.acc_seg": 66.39714, "loss": 0.43979, "time": 0.40227} +{"mode": "train", "epoch": 120, "iter": 75550, "lr": 3e-05, "memory": 22018, "data_time": 0.01003, "decode.loss_seg": 0.23311, "decode.acc_seg": 72.63385, "aux.loss_seg": 0.18273, "aux.acc_seg": 66.63, "loss": 0.41583, "time": 0.4033} +{"mode": "train", "epoch": 120, "iter": 75600, "lr": 3e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.23982, "decode.acc_seg": 73.24475, "aux.loss_seg": 0.18499, "aux.acc_seg": 67.14158, "loss": 0.42482, "time": 0.40178} +{"mode": "train", "epoch": 120, "iter": 75650, "lr": 3e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.23494, "decode.acc_seg": 72.91131, "aux.loss_seg": 0.18394, "aux.acc_seg": 66.9545, "loss": 0.41888, "time": 0.40157} +{"mode": "train", "epoch": 120, "iter": 75700, "lr": 3e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.24245, "decode.acc_seg": 74.1113, "aux.loss_seg": 0.18849, "aux.acc_seg": 67.98855, "loss": 0.43094, "time": 0.40135} +{"mode": "train", "epoch": 121, "iter": 75750, "lr": 3e-05, "memory": 22018, "data_time": 0.17139, "decode.loss_seg": 0.22977, "decode.acc_seg": 73.86342, "aux.loss_seg": 0.1768, "aux.acc_seg": 68.09862, "loss": 0.40658, "time": 0.5645} +{"mode": "train", "epoch": 121, "iter": 75800, "lr": 3e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.2369, "decode.acc_seg": 72.58107, "aux.loss_seg": 0.18158, "aux.acc_seg": 66.76877, "loss": 0.41848, "time": 0.40043} +{"mode": "train", "epoch": 121, "iter": 75850, "lr": 3e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.23953, "decode.acc_seg": 73.04391, "aux.loss_seg": 0.17964, "aux.acc_seg": 67.4433, "loss": 0.41917, "time": 0.4005} +{"mode": "train", "epoch": 121, "iter": 75900, "lr": 3e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.23706, "decode.acc_seg": 73.2643, "aux.loss_seg": 0.18492, "aux.acc_seg": 67.30902, "loss": 0.42198, "time": 0.39968} +{"mode": "train", "epoch": 121, "iter": 75950, "lr": 3e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.24523, "decode.acc_seg": 72.3994, "aux.loss_seg": 0.18626, "aux.acc_seg": 66.439, "loss": 0.43149, "time": 0.39964} +{"mode": "train", "epoch": 121, "iter": 76000, "lr": 3e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.23948, "decode.acc_seg": 72.58888, "aux.loss_seg": 0.18435, "aux.acc_seg": 66.66063, "loss": 0.42383, "time": 0.40075} +{"mode": "train", "epoch": 121, "iter": 76050, "lr": 3e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.24125, "decode.acc_seg": 72.24795, "aux.loss_seg": 0.18397, "aux.acc_seg": 66.53351, "loss": 0.42521, "time": 0.40094} +{"mode": "train", "epoch": 121, "iter": 76100, "lr": 3e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.24164, "decode.acc_seg": 73.88886, "aux.loss_seg": 0.18862, "aux.acc_seg": 67.83091, "loss": 0.43027, "time": 0.40075} +{"mode": "train", "epoch": 121, "iter": 76150, "lr": 3e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.23957, "decode.acc_seg": 72.8488, "aux.loss_seg": 0.1825, "aux.acc_seg": 66.9728, "loss": 0.42207, "time": 0.40136} +{"mode": "train", "epoch": 121, "iter": 76200, "lr": 3e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.23739, "decode.acc_seg": 72.99381, "aux.loss_seg": 0.18079, "aux.acc_seg": 67.10834, "loss": 0.41819, "time": 0.40073} +{"mode": "train", "epoch": 121, "iter": 76250, "lr": 3e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.25262, "decode.acc_seg": 72.13788, "aux.loss_seg": 0.19202, "aux.acc_seg": 66.08858, "loss": 0.44463, "time": 0.4018} +{"mode": "train", "epoch": 121, "iter": 76300, "lr": 3e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.24953, "decode.acc_seg": 73.91982, "aux.loss_seg": 0.18859, "aux.acc_seg": 67.92621, "loss": 0.43812, "time": 0.40226} +{"mode": "train", "epoch": 121, "iter": 76350, "lr": 3e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.24607, "decode.acc_seg": 72.17602, "aux.loss_seg": 0.1913, "aux.acc_seg": 65.88553, "loss": 0.43738, "time": 0.40136} +{"mode": "train", "epoch": 122, "iter": 76400, "lr": 3e-05, "memory": 22018, "data_time": 0.17445, "decode.loss_seg": 0.22893, "decode.acc_seg": 72.39842, "aux.loss_seg": 0.17952, "aux.acc_seg": 66.51083, "loss": 0.40845, "time": 0.567} +{"mode": "train", "epoch": 122, "iter": 76450, "lr": 3e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.23474, "decode.acc_seg": 72.75701, "aux.loss_seg": 0.17859, "aux.acc_seg": 67.1788, "loss": 0.41333, "time": 0.40004} +{"mode": "train", "epoch": 122, "iter": 76500, "lr": 3e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.24019, "decode.acc_seg": 72.06821, "aux.loss_seg": 0.18666, "aux.acc_seg": 65.90777, "loss": 0.42685, "time": 0.40044} +{"mode": "train", "epoch": 122, "iter": 76550, "lr": 3e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.24364, "decode.acc_seg": 73.28747, "aux.loss_seg": 0.18789, "aux.acc_seg": 67.32983, "loss": 0.43153, "time": 0.39917} +{"mode": "train", "epoch": 122, "iter": 76600, "lr": 3e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.2434, "decode.acc_seg": 72.53862, "aux.loss_seg": 0.18584, "aux.acc_seg": 66.48824, "loss": 0.42924, "time": 0.39959} +{"mode": "train", "epoch": 122, "iter": 76650, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.25267, "decode.acc_seg": 73.15174, "aux.loss_seg": 0.1905, "aux.acc_seg": 67.1349, "loss": 0.44317, "time": 0.39982} +{"mode": "train", "epoch": 122, "iter": 76700, "lr": 3e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.24836, "decode.acc_seg": 72.61606, "aux.loss_seg": 0.18992, "aux.acc_seg": 66.52659, "loss": 0.43828, "time": 0.40032} +{"mode": "train", "epoch": 122, "iter": 76750, "lr": 3e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.23826, "decode.acc_seg": 72.5867, "aux.loss_seg": 0.18462, "aux.acc_seg": 66.45064, "loss": 0.42288, "time": 0.40009} +{"mode": "train", "epoch": 122, "iter": 76800, "lr": 3e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.23817, "decode.acc_seg": 73.18117, "aux.loss_seg": 0.17929, "aux.acc_seg": 67.51431, "loss": 0.41746, "time": 0.40032} +{"mode": "train", "epoch": 122, "iter": 76850, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.24387, "decode.acc_seg": 72.28843, "aux.loss_seg": 0.18666, "aux.acc_seg": 66.26559, "loss": 0.43052, "time": 0.39969} +{"mode": "train", "epoch": 122, "iter": 76900, "lr": 3e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.24367, "decode.acc_seg": 73.28226, "aux.loss_seg": 0.19183, "aux.acc_seg": 66.97519, "loss": 0.43549, "time": 0.40132} +{"mode": "train", "epoch": 122, "iter": 76950, "lr": 3e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.2316, "decode.acc_seg": 73.8149, "aux.loss_seg": 0.17795, "aux.acc_seg": 68.01966, "loss": 0.40955, "time": 0.40164} +{"mode": "train", "epoch": 123, "iter": 77000, "lr": 3e-05, "memory": 22018, "data_time": 0.17427, "decode.loss_seg": 0.24975, "decode.acc_seg": 73.10614, "aux.loss_seg": 0.19447, "aux.acc_seg": 66.95422, "loss": 0.44422, "time": 0.56772} +{"mode": "train", "epoch": 123, "iter": 77050, "lr": 3e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.23715, "decode.acc_seg": 73.15786, "aux.loss_seg": 0.18269, "aux.acc_seg": 67.13554, "loss": 0.41985, "time": 0.40057} +{"mode": "train", "epoch": 123, "iter": 77100, "lr": 3e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.23982, "decode.acc_seg": 73.49991, "aux.loss_seg": 0.18238, "aux.acc_seg": 67.71157, "loss": 0.4222, "time": 0.40059} +{"mode": "train", "epoch": 123, "iter": 77150, "lr": 3e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.23153, "decode.acc_seg": 72.43125, "aux.loss_seg": 0.18055, "aux.acc_seg": 66.68819, "loss": 0.41208, "time": 0.40072} +{"mode": "train", "epoch": 123, "iter": 77200, "lr": 3e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.22788, "decode.acc_seg": 73.43121, "aux.loss_seg": 0.17909, "aux.acc_seg": 67.54429, "loss": 0.40697, "time": 0.4009} +{"mode": "train", "epoch": 123, "iter": 77250, "lr": 3e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.24148, "decode.acc_seg": 73.7188, "aux.loss_seg": 0.18557, "aux.acc_seg": 67.79529, "loss": 0.42704, "time": 0.40038} +{"mode": "train", "epoch": 123, "iter": 77300, "lr": 3e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.23007, "decode.acc_seg": 71.88014, "aux.loss_seg": 0.18023, "aux.acc_seg": 66.05709, "loss": 0.4103, "time": 0.40111} +{"mode": "train", "epoch": 123, "iter": 77350, "lr": 3e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.23703, "decode.acc_seg": 72.61354, "aux.loss_seg": 0.18865, "aux.acc_seg": 66.37126, "loss": 0.42567, "time": 0.40033} +{"mode": "train", "epoch": 123, "iter": 77400, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.23157, "decode.acc_seg": 72.64179, "aux.loss_seg": 0.17135, "aux.acc_seg": 67.36045, "loss": 0.40292, "time": 0.40086} +{"mode": "train", "epoch": 123, "iter": 77450, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.23916, "decode.acc_seg": 72.67553, "aux.loss_seg": 0.18622, "aux.acc_seg": 66.54098, "loss": 0.42538, "time": 0.40075} +{"mode": "train", "epoch": 123, "iter": 77500, "lr": 3e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.24306, "decode.acc_seg": 72.15262, "aux.loss_seg": 0.18636, "aux.acc_seg": 66.34976, "loss": 0.42942, "time": 0.40155} +{"mode": "train", "epoch": 123, "iter": 77550, "lr": 3e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.24131, "decode.acc_seg": 72.59234, "aux.loss_seg": 0.18202, "aux.acc_seg": 66.91759, "loss": 0.42333, "time": 0.40108} +{"mode": "train", "epoch": 123, "iter": 77600, "lr": 3e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.248, "decode.acc_seg": 73.22113, "aux.loss_seg": 0.19034, "aux.acc_seg": 67.22911, "loss": 0.43834, "time": 0.40236} +{"mode": "train", "epoch": 124, "iter": 77650, "lr": 3e-05, "memory": 22018, "data_time": 0.1712, "decode.loss_seg": 0.24068, "decode.acc_seg": 73.49528, "aux.loss_seg": 0.18613, "aux.acc_seg": 67.5048, "loss": 0.42681, "time": 0.56364} +{"mode": "train", "epoch": 124, "iter": 77700, "lr": 3e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.22935, "decode.acc_seg": 72.21769, "aux.loss_seg": 0.17687, "aux.acc_seg": 66.51877, "loss": 0.40622, "time": 0.40058} +{"mode": "train", "epoch": 124, "iter": 77750, "lr": 3e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.23833, "decode.acc_seg": 73.27417, "aux.loss_seg": 0.18886, "aux.acc_seg": 67.10597, "loss": 0.42719, "time": 0.40157} +{"mode": "train", "epoch": 124, "iter": 77800, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.23464, "decode.acc_seg": 72.63762, "aux.loss_seg": 0.17973, "aux.acc_seg": 66.93066, "loss": 0.41437, "time": 0.40075} +{"mode": "train", "epoch": 124, "iter": 77850, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.23304, "decode.acc_seg": 73.18478, "aux.loss_seg": 0.18294, "aux.acc_seg": 67.18448, "loss": 0.41598, "time": 0.40174} +{"mode": "train", "epoch": 124, "iter": 77900, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.24251, "decode.acc_seg": 73.32641, "aux.loss_seg": 0.18382, "aux.acc_seg": 67.63717, "loss": 0.42633, "time": 0.40038} +{"mode": "train", "epoch": 124, "iter": 77950, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.23401, "decode.acc_seg": 74.03985, "aux.loss_seg": 0.17986, "aux.acc_seg": 68.32597, "loss": 0.41387, "time": 0.40041} +{"mode": "train", "epoch": 124, "iter": 78000, "lr": 3e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.23509, "decode.acc_seg": 72.85089, "aux.loss_seg": 0.17872, "aux.acc_seg": 67.27369, "loss": 0.41381, "time": 0.40113} +{"mode": "train", "epoch": 124, "iter": 78050, "lr": 3e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.23477, "decode.acc_seg": 72.4983, "aux.loss_seg": 0.18027, "aux.acc_seg": 66.58651, "loss": 0.41503, "time": 0.40289} +{"mode": "train", "epoch": 124, "iter": 78100, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.24188, "decode.acc_seg": 73.26331, "aux.loss_seg": 0.18476, "aux.acc_seg": 67.27492, "loss": 0.42664, "time": 0.40306} +{"mode": "train", "epoch": 124, "iter": 78150, "lr": 3e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.2296, "decode.acc_seg": 72.78285, "aux.loss_seg": 0.18024, "aux.acc_seg": 66.78436, "loss": 0.40984, "time": 0.40315} +{"mode": "train", "epoch": 124, "iter": 78200, "lr": 3e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.24048, "decode.acc_seg": 72.50427, "aux.loss_seg": 0.18837, "aux.acc_seg": 66.32663, "loss": 0.42885, "time": 0.40234} +{"mode": "train", "epoch": 125, "iter": 78250, "lr": 3e-05, "memory": 22018, "data_time": 0.17149, "decode.loss_seg": 0.24197, "decode.acc_seg": 73.35012, "aux.loss_seg": 0.18409, "aux.acc_seg": 67.33904, "loss": 0.42605, "time": 0.56617} +{"mode": "train", "epoch": 125, "iter": 78300, "lr": 3e-05, "memory": 22018, "data_time": 0.00986, "decode.loss_seg": 0.23731, "decode.acc_seg": 73.48023, "aux.loss_seg": 0.18464, "aux.acc_seg": 67.65709, "loss": 0.42195, "time": 0.4023} +{"mode": "train", "epoch": 125, "iter": 78350, "lr": 3e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.2321, "decode.acc_seg": 72.75452, "aux.loss_seg": 0.17739, "aux.acc_seg": 67.02732, "loss": 0.40949, "time": 0.40188} +{"mode": "train", "epoch": 125, "iter": 78400, "lr": 3e-05, "memory": 22018, "data_time": 0.01042, "decode.loss_seg": 0.23082, "decode.acc_seg": 72.28456, "aux.loss_seg": 0.18125, "aux.acc_seg": 66.40522, "loss": 0.41208, "time": 0.40144} +{"mode": "train", "epoch": 125, "iter": 78450, "lr": 3e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.22497, "decode.acc_seg": 72.8125, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.24381, "loss": 0.39683, "time": 0.40185} +{"mode": "train", "epoch": 125, "iter": 78500, "lr": 3e-05, "memory": 22018, "data_time": 0.01013, "decode.loss_seg": 0.23819, "decode.acc_seg": 73.496, "aux.loss_seg": 0.19038, "aux.acc_seg": 67.01992, "loss": 0.42857, "time": 0.40151} +{"mode": "train", "epoch": 125, "iter": 78550, "lr": 3e-05, "memory": 22018, "data_time": 0.01027, "decode.loss_seg": 0.23013, "decode.acc_seg": 72.93882, "aux.loss_seg": 0.17761, "aux.acc_seg": 67.27662, "loss": 0.40774, "time": 0.40158} +{"mode": "train", "epoch": 125, "iter": 78600, "lr": 3e-05, "memory": 22018, "data_time": 0.01026, "decode.loss_seg": 0.23113, "decode.acc_seg": 72.09191, "aux.loss_seg": 0.17829, "aux.acc_seg": 66.26569, "loss": 0.40942, "time": 0.40103} +{"mode": "train", "epoch": 125, "iter": 78650, "lr": 3e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.24227, "decode.acc_seg": 72.50347, "aux.loss_seg": 0.18594, "aux.acc_seg": 66.62155, "loss": 0.42821, "time": 0.40189} +{"mode": "train", "epoch": 125, "iter": 78700, "lr": 3e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.25343, "decode.acc_seg": 72.89077, "aux.loss_seg": 0.19726, "aux.acc_seg": 66.55908, "loss": 0.45069, "time": 0.40223} +{"mode": "train", "epoch": 125, "iter": 78750, "lr": 3e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.23858, "decode.acc_seg": 72.27984, "aux.loss_seg": 0.18355, "aux.acc_seg": 66.49422, "loss": 0.42213, "time": 0.4017} +{"mode": "train", "epoch": 125, "iter": 78800, "lr": 3e-05, "memory": 22018, "data_time": 0.01072, "decode.loss_seg": 0.23521, "decode.acc_seg": 73.12461, "aux.loss_seg": 0.18299, "aux.acc_seg": 67.28028, "loss": 0.4182, "time": 0.4022} +{"mode": "train", "epoch": 125, "iter": 78850, "lr": 3e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.23706, "decode.acc_seg": 73.70465, "aux.loss_seg": 0.18204, "aux.acc_seg": 67.75939, "loss": 0.4191, "time": 0.40181} +{"mode": "train", "epoch": 126, "iter": 78900, "lr": 3e-05, "memory": 22018, "data_time": 0.17259, "decode.loss_seg": 0.2333, "decode.acc_seg": 73.32855, "aux.loss_seg": 0.18528, "aux.acc_seg": 67.19861, "loss": 0.41858, "time": 0.56542} +{"mode": "train", "epoch": 126, "iter": 78950, "lr": 3e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.23323, "decode.acc_seg": 73.68972, "aux.loss_seg": 0.18149, "aux.acc_seg": 67.84804, "loss": 0.41471, "time": 0.40174} +{"mode": "train", "epoch": 126, "iter": 79000, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.23966, "decode.acc_seg": 73.27542, "aux.loss_seg": 0.18619, "aux.acc_seg": 67.20736, "loss": 0.42585, "time": 0.40186} +{"mode": "train", "epoch": 126, "iter": 79050, "lr": 3e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.23324, "decode.acc_seg": 73.07158, "aux.loss_seg": 0.18396, "aux.acc_seg": 67.03902, "loss": 0.4172, "time": 0.40243} +{"mode": "train", "epoch": 126, "iter": 79100, "lr": 3e-05, "memory": 22018, "data_time": 0.01004, "decode.loss_seg": 0.23661, "decode.acc_seg": 73.98355, "aux.loss_seg": 0.18644, "aux.acc_seg": 67.90453, "loss": 0.42304, "time": 0.40151} +{"mode": "train", "epoch": 126, "iter": 79150, "lr": 3e-05, "memory": 22018, "data_time": 0.01052, "decode.loss_seg": 0.23811, "decode.acc_seg": 73.77206, "aux.loss_seg": 0.18253, "aux.acc_seg": 67.98665, "loss": 0.42064, "time": 0.40205} +{"mode": "train", "epoch": 126, "iter": 79200, "lr": 3e-05, "memory": 22018, "data_time": 0.01069, "decode.loss_seg": 0.2359, "decode.acc_seg": 72.42608, "aux.loss_seg": 0.17817, "aux.acc_seg": 66.85888, "loss": 0.41407, "time": 0.40188} +{"mode": "train", "epoch": 126, "iter": 79250, "lr": 3e-05, "memory": 22018, "data_time": 0.01046, "decode.loss_seg": 0.24079, "decode.acc_seg": 73.05767, "aux.loss_seg": 0.18494, "aux.acc_seg": 67.18276, "loss": 0.42574, "time": 0.40187} +{"mode": "train", "epoch": 126, "iter": 79300, "lr": 3e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.23517, "decode.acc_seg": 72.20165, "aux.loss_seg": 0.18228, "aux.acc_seg": 66.18517, "loss": 0.41745, "time": 0.40205} +{"mode": "train", "epoch": 126, "iter": 79350, "lr": 3e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.23613, "decode.acc_seg": 72.43765, "aux.loss_seg": 0.18, "aux.acc_seg": 66.45718, "loss": 0.41613, "time": 0.40156} +{"mode": "train", "epoch": 126, "iter": 79400, "lr": 3e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.24021, "decode.acc_seg": 72.89623, "aux.loss_seg": 0.18118, "aux.acc_seg": 67.08481, "loss": 0.42139, "time": 0.40106} +{"mode": "train", "epoch": 126, "iter": 79450, "lr": 3e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.22883, "decode.acc_seg": 73.31928, "aux.loss_seg": 0.17985, "aux.acc_seg": 67.3253, "loss": 0.40868, "time": 0.40095} +{"mode": "train", "epoch": 126, "iter": 79500, "lr": 3e-05, "memory": 22018, "data_time": 0.01076, "decode.loss_seg": 0.23729, "decode.acc_seg": 72.36057, "aux.loss_seg": 0.18129, "aux.acc_seg": 66.64147, "loss": 0.41858, "time": 0.40196} +{"mode": "train", "epoch": 127, "iter": 79550, "lr": 3e-05, "memory": 22018, "data_time": 0.17518, "decode.loss_seg": 0.23123, "decode.acc_seg": 72.92634, "aux.loss_seg": 0.17847, "aux.acc_seg": 67.09528, "loss": 0.4097, "time": 0.56634} +{"mode": "train", "epoch": 127, "iter": 79600, "lr": 3e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.23569, "decode.acc_seg": 73.17675, "aux.loss_seg": 0.18141, "aux.acc_seg": 67.31413, "loss": 0.4171, "time": 0.40014} +{"mode": "train", "epoch": 127, "iter": 79650, "lr": 3e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.23579, "decode.acc_seg": 73.29498, "aux.loss_seg": 0.17828, "aux.acc_seg": 67.45874, "loss": 0.41407, "time": 0.39989} +{"mode": "train", "epoch": 127, "iter": 79700, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.23139, "decode.acc_seg": 73.42974, "aux.loss_seg": 0.18274, "aux.acc_seg": 67.56343, "loss": 0.41413, "time": 0.40038} +{"mode": "train", "epoch": 127, "iter": 79750, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.23228, "decode.acc_seg": 73.03238, "aux.loss_seg": 0.18136, "aux.acc_seg": 67.01341, "loss": 0.41364, "time": 0.4012} +{"mode": "train", "epoch": 127, "iter": 79800, "lr": 3e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.23701, "decode.acc_seg": 72.65007, "aux.loss_seg": 0.18223, "aux.acc_seg": 66.78393, "loss": 0.41924, "time": 0.40096} +{"mode": "train", "epoch": 127, "iter": 79850, "lr": 3e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.23937, "decode.acc_seg": 73.49993, "aux.loss_seg": 0.1826, "aux.acc_seg": 67.74135, "loss": 0.42196, "time": 0.40116} +{"mode": "train", "epoch": 127, "iter": 79900, "lr": 3e-05, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.24363, "decode.acc_seg": 73.56669, "aux.loss_seg": 0.18544, "aux.acc_seg": 67.67613, "loss": 0.42907, "time": 0.40146} +{"mode": "train", "epoch": 127, "iter": 79950, "lr": 3e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.23294, "decode.acc_seg": 72.57034, "aux.loss_seg": 0.18084, "aux.acc_seg": 66.88136, "loss": 0.41379, "time": 0.40099} +{"mode": "val", "epoch": 127, "iter": 80000, "lr": 3e-05, "mIoU": 0.4564, "mAcc": 0.5789, "aAcc": 0.8139, "IoU.wall": 0.7499, "IoU.building": 0.8074, "IoU.sky": 0.9371, "IoU.floor": 0.8029, "IoU.tree": 0.7228, "IoU.ceiling": 0.8316, "IoU.road": 0.8187, "IoU.bed ": 0.8667, "IoU.windowpane": 0.5878, "IoU.grass": 0.684, "IoU.cabinet": 0.5673, "IoU.sidewalk": 0.6332, "IoU.person": 0.7561, "IoU.earth": 0.3259, "IoU.door": 0.4479, "IoU.table": 0.5534, "IoU.mountain": 0.5919, "IoU.plant": 0.4957, "IoU.curtain": 0.707, "IoU.chair": 0.507, "IoU.car": 0.8114, "IoU.water": 0.516, "IoU.painting": 0.6942, "IoU.sofa": 0.5954, "IoU.shelf": 0.3842, "IoU.house": 0.4005, "IoU.sea": 0.5282, "IoU.mirror": 0.5763, "IoU.rug": 0.6047, "IoU.field": 0.3091, "IoU.armchair": 0.3667, "IoU.seat": 0.5629, "IoU.fence": 0.3954, "IoU.desk": 0.441, "IoU.rock": 0.4615, "IoU.wardrobe": 0.5137, "IoU.lamp": 0.563, "IoU.bathtub": 0.7612, "IoU.railing": 0.3279, "IoU.cushion": 0.4932, "IoU.base": 0.2641, "IoU.box": 0.228, "IoU.column": 0.4176, "IoU.signboard": 0.3315, "IoU.chest of drawers": 0.3518, "IoU.counter": 0.273, "IoU.sand": 0.3626, "IoU.sink": 0.6735, "IoU.skyscraper": 0.6663, "IoU.fireplace": NaN, "IoU.refrigerator": 0.62, "IoU.grandstand": 0.3396, "IoU.path": 0.1911, "IoU.stairs": 0.2766, "IoU.runway": 0.6945, "IoU.case": 0.3913, "IoU.pool table": 0.9065, "IoU.pillow": 0.5535, "IoU.screen door": 0.6314, "IoU.stairway": 0.3031, "IoU.river": 0.0735, "IoU.bridge": 0.578, "IoU.bookcase": 0.3621, "IoU.blind": NaN, "IoU.coffee table": 0.5269, "IoU.toilet": 0.8098, "IoU.flower": 0.3663, "IoU.book": 0.4616, "IoU.hill": 0.1696, "IoU.bench": 0.3794, "IoU.countertop": 0.5257, "IoU.stove": 0.6762, "IoU.palm": 0.4121, "IoU.kitchen island": 0.2861, "IoU.computer": 0.5867, "IoU.swivel chair": 0.4293, "IoU.boat": 0.5839, "IoU.bar": 0.3148, "IoU.arcade machine": 0.4716, "IoU.hovel": 0.3243, "IoU.bus": 0.7927, "IoU.towel": 0.5681, "IoU.light": 0.5412, "IoU.truck": 0.3419, "IoU.tower": 0.0613, "IoU.chandelier": 0.6208, "IoU.awning": 0.3324, "IoU.streetlight": 0.1944, "IoU.booth": 0.4808, "IoU.television receiver": NaN, "IoU.airplane": 0.5253, "IoU.dirt track": 0.1957, "IoU.apparel": 0.3389, "IoU.pole": 0.15, "IoU.land": 0.0029, "IoU.bannister": 0.1243, "IoU.escalator": 0.259, "IoU.ottoman": 0.3576, "IoU.bottle": NaN, "IoU.buffet": 0.4681, "IoU.poster": 0.3096, "IoU.stage": 0.1289, "IoU.van": 0.3912, "IoU.ship": 0.6564, "IoU.fountain": 0.204, "IoU.conveyer belt": 0.7619, "IoU.canopy": 0.1985, "IoU.washer": 0.7291, "IoU.plaything": 0.1662, "IoU.swimming pool": 0.6744, "IoU.stool": 0.4251, "IoU.barrel": 0.3318, "IoU.basket": 0.2381, "IoU.waterfall": 0.6379, "IoU.tent": 0.9348, "IoU.bag": 0.1016, "IoU.minibike": 0.634, "IoU.cradle": NaN, "IoU.oven": 0.378, "IoU.ball": 0.3938, "IoU.food": 0.5275, "IoU.step": 0.1424, "IoU.tank": 0.5164, "IoU.trade name": 0.2415, "IoU.microwave": 0.6962, "IoU.pot": 0.4604, "IoU.animal": NaN, "IoU.bicycle": 0.5121, "IoU.lake": 0.484, "IoU.dishwasher": 0.4102, "IoU.screen": 0.6739, "IoU.blanket": 0.116, "IoU.sculpture": 0.5498, "IoU.hood": 0.5203, "IoU.sconce": 0.3842, "IoU.vase": 0.3038, "IoU.traffic light": 0.2326, "IoU.tray": 0.0952, "IoU.ashcan": 0.3476, "IoU.fan": 0.5096, "IoU.pier": 0.5887, "IoU.crt screen": 0.0992, "IoU.plate": 0.5173, "IoU.monitor": 0.0497, "IoU.bulletin board": 0.3137, "IoU.shower": 0.0119, "IoU.radiator": 0.4727, "IoU.glass": 0.1142, "IoU.clock": 0.3816, "IoU.flag": 0.2877, "Acc.wall": 0.8705, "Acc.building": 0.9192, "Acc.sky": 0.9728, "Acc.floor": 0.8907, "Acc.tree": 0.858, "Acc.ceiling": 0.9067, "Acc.road": 0.8791, "Acc.bed ": 0.9407, "Acc.windowpane": 0.7649, "Acc.grass": 0.8416, "Acc.cabinet": 0.726, "Acc.sidewalk": 0.8072, "Acc.person": 0.9077, "Acc.earth": 0.435, "Acc.door": 0.6039, "Acc.table": 0.7298, "Acc.mountain": 0.7499, "Acc.plant": 0.6171, "Acc.curtain": 0.8296, "Acc.chair": 0.657, "Acc.car": 0.9172, "Acc.water": 0.6614, "Acc.painting": 0.8367, "Acc.sofa": 0.7932, "Acc.shelf": 0.5505, "Acc.house": 0.5473, "Acc.sea": 0.7472, "Acc.mirror": 0.6538, "Acc.rug": 0.6896, "Acc.field": 0.5132, "Acc.armchair": 0.5813, "Acc.seat": 0.7479, "Acc.fence": 0.5098, "Acc.desk": 0.6744, "Acc.rock": 0.7666, "Acc.wardrobe": 0.6495, "Acc.lamp": 0.7123, "Acc.bathtub": 0.8298, "Acc.railing": 0.4473, "Acc.cushion": 0.6508, "Acc.base": 0.3284, "Acc.box": 0.316, "Acc.column": 0.5547, "Acc.signboard": 0.4564, "Acc.chest of drawers": 0.548, "Acc.counter": 0.3574, "Acc.sand": 0.5546, "Acc.sink": 0.7854, "Acc.skyscraper": 0.8303, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7377, "Acc.grandstand": 0.6367, "Acc.path": 0.2819, "Acc.stairs": 0.3338, "Acc.runway": 0.916, "Acc.case": 0.525, "Acc.pool table": 0.9593, "Acc.pillow": 0.7092, "Acc.screen door": 0.7124, "Acc.stairway": 0.4229, "Acc.river": 0.1426, "Acc.bridge": 0.7731, "Acc.bookcase": 0.4264, "Acc.blind": NaN, "Acc.coffee table": 0.7747, "Acc.toilet": 0.8887, "Acc.flower": 0.5715, "Acc.book": 0.7147, "Acc.hill": 0.1953, "Acc.bench": 0.4854, "Acc.countertop": 0.6744, "Acc.stove": 0.7967, "Acc.palm": 0.6897, "Acc.kitchen island": 0.5224, "Acc.computer": 0.7079, "Acc.swivel chair": 0.6256, "Acc.boat": 0.7254, "Acc.bar": 0.3871, "Acc.arcade machine": 0.4977, "Acc.hovel": 0.3903, "Acc.bus": 0.907, "Acc.towel": 0.7129, "Acc.light": 0.637, "Acc.truck": 0.4491, "Acc.tower": 0.0738, "Acc.chandelier": 0.8078, "Acc.awning": 0.3853, "Acc.streetlight": 0.2531, "Acc.booth": 0.5976, "Acc.television receiver": NaN, "Acc.airplane": 0.6577, "Acc.dirt track": 0.3348, "Acc.apparel": 0.4834, "Acc.pole": 0.2308, "Acc.land": 0.0042, "Acc.bannister": 0.1592, "Acc.escalator": 0.3036, "Acc.ottoman": 0.5426, "Acc.bottle": NaN, "Acc.buffet": 0.5517, "Acc.poster": 0.3814, "Acc.stage": 0.2566, "Acc.van": 0.4863, "Acc.ship": 0.9075, "Acc.fountain": 0.2202, "Acc.conveyer belt": 0.8854, "Acc.canopy": 0.2337, "Acc.washer": 0.7501, "Acc.plaything": 0.2748, "Acc.swimming pool": 0.7598, "Acc.stool": 0.5222, "Acc.barrel": 0.6433, "Acc.basket": 0.3671, "Acc.waterfall": 0.8594, "Acc.tent": 0.9848, "Acc.bag": 0.1222, "Acc.minibike": 0.7564, "Acc.cradle": NaN, "Acc.oven": 0.5753, "Acc.ball": 0.4901, "Acc.food": 0.6067, "Acc.step": 0.1734, "Acc.tank": 0.5427, "Acc.trade name": 0.2813, "Acc.microwave": 0.77, "Acc.pot": 0.5479, "Acc.animal": NaN, "Acc.bicycle": 0.7409, "Acc.lake": 0.562, "Acc.dishwasher": 0.4926, "Acc.screen": 0.7896, "Acc.blanket": 0.1306, "Acc.sculpture": 0.7021, "Acc.hood": 0.562, "Acc.sconce": 0.479, "Acc.vase": 0.4693, "Acc.traffic light": 0.3525, "Acc.tray": 0.161, "Acc.ashcan": 0.4692, "Acc.fan": 0.6797, "Acc.pier": 0.8701, "Acc.crt screen": 0.271, "Acc.plate": 0.6931, "Acc.monitor": 0.0547, "Acc.bulletin board": 0.536, "Acc.shower": 0.015, "Acc.radiator": 0.5578, "Acc.glass": 0.1291, "Acc.clock": 0.4678, "Acc.flag": 0.3475} +{"mode": "train", "epoch": 127, "iter": 80050, "lr": 3e-05, "memory": 22018, "data_time": 1.68806, "decode.loss_seg": 0.23511, "decode.acc_seg": 74.33875, "aux.loss_seg": 0.18133, "aux.acc_seg": 68.4812, "loss": 0.41644, "time": 2.08371} +{"mode": "train", "epoch": 127, "iter": 80100, "lr": 3e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.23896, "decode.acc_seg": 72.56558, "aux.loss_seg": 0.18653, "aux.acc_seg": 66.26551, "loss": 0.42549, "time": 0.40222} +{"mode": "train", "epoch": 128, "iter": 80150, "lr": 3e-05, "memory": 22018, "data_time": 0.17759, "decode.loss_seg": 0.22597, "decode.acc_seg": 73.05623, "aux.loss_seg": 0.1756, "aux.acc_seg": 67.24373, "loss": 0.40157, "time": 0.57153} +{"mode": "train", "epoch": 128, "iter": 80200, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.236, "decode.acc_seg": 74.03072, "aux.loss_seg": 0.18208, "aux.acc_seg": 68.11003, "loss": 0.41807, "time": 0.40389} +{"mode": "train", "epoch": 128, "iter": 80250, "lr": 3e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.235, "decode.acc_seg": 73.23414, "aux.loss_seg": 0.18054, "aux.acc_seg": 67.39044, "loss": 0.41554, "time": 0.40339} +{"mode": "train", "epoch": 128, "iter": 80300, "lr": 3e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.23509, "decode.acc_seg": 72.59281, "aux.loss_seg": 0.18213, "aux.acc_seg": 66.59659, "loss": 0.41721, "time": 0.40334} +{"mode": "train", "epoch": 128, "iter": 80350, "lr": 3e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.23655, "decode.acc_seg": 72.63462, "aux.loss_seg": 0.18269, "aux.acc_seg": 66.66655, "loss": 0.41925, "time": 0.40375} +{"mode": "train", "epoch": 128, "iter": 80400, "lr": 3e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.22806, "decode.acc_seg": 72.92925, "aux.loss_seg": 0.17985, "aux.acc_seg": 66.92991, "loss": 0.40791, "time": 0.40325} +{"mode": "train", "epoch": 128, "iter": 80450, "lr": 3e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.24072, "decode.acc_seg": 72.90154, "aux.loss_seg": 0.18855, "aux.acc_seg": 66.55183, "loss": 0.42926, "time": 0.40343} +{"mode": "train", "epoch": 128, "iter": 80500, "lr": 3e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.22408, "decode.acc_seg": 73.16855, "aux.loss_seg": 0.17517, "aux.acc_seg": 67.4401, "loss": 0.39926, "time": 0.40311} +{"mode": "train", "epoch": 128, "iter": 80550, "lr": 3e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.23975, "decode.acc_seg": 72.70571, "aux.loss_seg": 0.18219, "aux.acc_seg": 67.00995, "loss": 0.42194, "time": 0.40144} +{"mode": "train", "epoch": 128, "iter": 80600, "lr": 3e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.24004, "decode.acc_seg": 73.48767, "aux.loss_seg": 0.18552, "aux.acc_seg": 67.3105, "loss": 0.42556, "time": 0.40379} +{"mode": "train", "epoch": 128, "iter": 80650, "lr": 3e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.23451, "decode.acc_seg": 72.5142, "aux.loss_seg": 0.18212, "aux.acc_seg": 66.64328, "loss": 0.41663, "time": 0.40262} +{"mode": "train", "epoch": 128, "iter": 80700, "lr": 3e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.23232, "decode.acc_seg": 73.23687, "aux.loss_seg": 0.17846, "aux.acc_seg": 67.41554, "loss": 0.41079, "time": 0.40151} +{"mode": "train", "epoch": 128, "iter": 80750, "lr": 3e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.23556, "decode.acc_seg": 72.65856, "aux.loss_seg": 0.18525, "aux.acc_seg": 66.34081, "loss": 0.42081, "time": 0.40208} +{"mode": "train", "epoch": 129, "iter": 80800, "lr": 3e-05, "memory": 22018, "data_time": 0.17427, "decode.loss_seg": 0.2291, "decode.acc_seg": 72.66977, "aux.loss_seg": 0.17437, "aux.acc_seg": 67.04439, "loss": 0.40347, "time": 0.56678} +{"mode": "train", "epoch": 129, "iter": 80850, "lr": 3e-05, "memory": 22018, "data_time": 0.00986, "decode.loss_seg": 0.22719, "decode.acc_seg": 73.66398, "aux.loss_seg": 0.17583, "aux.acc_seg": 67.8761, "loss": 0.40302, "time": 0.40144} +{"mode": "train", "epoch": 129, "iter": 80900, "lr": 3e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.22969, "decode.acc_seg": 72.37162, "aux.loss_seg": 0.17899, "aux.acc_seg": 66.50505, "loss": 0.40869, "time": 0.40172} +{"mode": "train", "epoch": 129, "iter": 80950, "lr": 3e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.23379, "decode.acc_seg": 72.94017, "aux.loss_seg": 0.18587, "aux.acc_seg": 66.86721, "loss": 0.41967, "time": 0.40334} +{"mode": "train", "epoch": 129, "iter": 81000, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.23905, "decode.acc_seg": 73.46085, "aux.loss_seg": 0.18101, "aux.acc_seg": 67.76239, "loss": 0.42007, "time": 0.40459} +{"mode": "train", "epoch": 129, "iter": 81050, "lr": 3e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.2383, "decode.acc_seg": 72.69556, "aux.loss_seg": 0.18337, "aux.acc_seg": 66.89205, "loss": 0.42167, "time": 0.4042} +{"mode": "train", "epoch": 129, "iter": 81100, "lr": 3e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.23014, "decode.acc_seg": 72.7008, "aux.loss_seg": 0.17941, "aux.acc_seg": 66.78885, "loss": 0.40955, "time": 0.4034} +{"mode": "train", "epoch": 129, "iter": 81150, "lr": 3e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.21916, "decode.acc_seg": 73.32117, "aux.loss_seg": 0.17436, "aux.acc_seg": 67.34874, "loss": 0.39352, "time": 0.40372} +{"mode": "train", "epoch": 129, "iter": 81200, "lr": 3e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.22829, "decode.acc_seg": 73.55756, "aux.loss_seg": 0.17552, "aux.acc_seg": 67.96984, "loss": 0.40381, "time": 0.40397} +{"mode": "train", "epoch": 129, "iter": 81250, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.23915, "decode.acc_seg": 73.23682, "aux.loss_seg": 0.18814, "aux.acc_seg": 67.06582, "loss": 0.42729, "time": 0.40327} +{"mode": "train", "epoch": 129, "iter": 81300, "lr": 3e-05, "memory": 22018, "data_time": 0.00987, "decode.loss_seg": 0.24359, "decode.acc_seg": 72.61056, "aux.loss_seg": 0.18406, "aux.acc_seg": 66.80171, "loss": 0.42765, "time": 0.40325} +{"mode": "train", "epoch": 129, "iter": 81350, "lr": 3e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.2197, "decode.acc_seg": 72.79388, "aux.loss_seg": 0.17072, "aux.acc_seg": 67.19588, "loss": 0.39042, "time": 0.40454} +{"mode": "train", "epoch": 129, "iter": 81400, "lr": 3e-05, "memory": 22018, "data_time": 0.17389, "decode.loss_seg": 0.24324, "decode.acc_seg": 72.7845, "aux.loss_seg": 0.18762, "aux.acc_seg": 66.64323, "loss": 0.43086, "time": 0.56914} +{"mode": "train", "epoch": 130, "iter": 81450, "lr": 3e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.23652, "decode.acc_seg": 73.70359, "aux.loss_seg": 0.18213, "aux.acc_seg": 67.74373, "loss": 0.41865, "time": 0.40159} +{"mode": "train", "epoch": 130, "iter": 81500, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.23712, "decode.acc_seg": 72.34812, "aux.loss_seg": 0.18076, "aux.acc_seg": 66.48977, "loss": 0.41788, "time": 0.40034} +{"mode": "train", "epoch": 130, "iter": 81550, "lr": 3e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.23122, "decode.acc_seg": 72.91295, "aux.loss_seg": 0.18035, "aux.acc_seg": 66.93717, "loss": 0.41158, "time": 0.40192} +{"mode": "train", "epoch": 130, "iter": 81600, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.22731, "decode.acc_seg": 73.72013, "aux.loss_seg": 0.17961, "aux.acc_seg": 67.8233, "loss": 0.40692, "time": 0.40364} +{"mode": "train", "epoch": 130, "iter": 81650, "lr": 3e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.22549, "decode.acc_seg": 73.52709, "aux.loss_seg": 0.17448, "aux.acc_seg": 67.79046, "loss": 0.39997, "time": 0.40146} +{"mode": "train", "epoch": 130, "iter": 81700, "lr": 3e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.23462, "decode.acc_seg": 72.8139, "aux.loss_seg": 0.17592, "aux.acc_seg": 67.26846, "loss": 0.41054, "time": 0.40292} +{"mode": "train", "epoch": 130, "iter": 81750, "lr": 3e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.22698, "decode.acc_seg": 73.08095, "aux.loss_seg": 0.18102, "aux.acc_seg": 66.95279, "loss": 0.408, "time": 0.40215} +{"mode": "train", "epoch": 130, "iter": 81800, "lr": 3e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.23515, "decode.acc_seg": 73.54808, "aux.loss_seg": 0.18181, "aux.acc_seg": 67.68075, "loss": 0.41696, "time": 0.40052} +{"mode": "train", "epoch": 130, "iter": 81850, "lr": 3e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.23246, "decode.acc_seg": 72.55054, "aux.loss_seg": 0.18062, "aux.acc_seg": 66.7265, "loss": 0.41309, "time": 0.40188} +{"mode": "train", "epoch": 130, "iter": 81900, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.23509, "decode.acc_seg": 74.26509, "aux.loss_seg": 0.18088, "aux.acc_seg": 68.45708, "loss": 0.41597, "time": 0.40137} +{"mode": "train", "epoch": 130, "iter": 81950, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.22804, "decode.acc_seg": 73.57029, "aux.loss_seg": 0.17868, "aux.acc_seg": 67.59741, "loss": 0.40672, "time": 0.401} +{"mode": "train", "epoch": 130, "iter": 82000, "lr": 3e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.22212, "decode.acc_seg": 73.05181, "aux.loss_seg": 0.17954, "aux.acc_seg": 66.88803, "loss": 0.40166, "time": 0.40055} +{"mode": "train", "epoch": 131, "iter": 82050, "lr": 3e-05, "memory": 22018, "data_time": 0.17695, "decode.loss_seg": 0.23275, "decode.acc_seg": 73.33613, "aux.loss_seg": 0.18153, "aux.acc_seg": 67.35161, "loss": 0.41428, "time": 0.57037} +{"mode": "train", "epoch": 131, "iter": 82100, "lr": 3e-05, "memory": 22018, "data_time": 0.00662, "decode.loss_seg": 0.23593, "decode.acc_seg": 73.32431, "aux.loss_seg": 0.18339, "aux.acc_seg": 67.61688, "loss": 0.41932, "time": 0.39929} +{"mode": "train", "epoch": 131, "iter": 82150, "lr": 3e-05, "memory": 22018, "data_time": 0.00674, "decode.loss_seg": 0.23009, "decode.acc_seg": 73.93479, "aux.loss_seg": 0.17952, "aux.acc_seg": 68.26799, "loss": 0.40961, "time": 0.39916} +{"mode": "train", "epoch": 131, "iter": 82200, "lr": 3e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.23149, "decode.acc_seg": 72.69311, "aux.loss_seg": 0.17322, "aux.acc_seg": 67.36376, "loss": 0.40471, "time": 0.39972} +{"mode": "train", "epoch": 131, "iter": 82250, "lr": 3e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.23003, "decode.acc_seg": 72.83629, "aux.loss_seg": 0.17717, "aux.acc_seg": 67.18056, "loss": 0.40721, "time": 0.40073} +{"mode": "train", "epoch": 131, "iter": 82300, "lr": 3e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.22188, "decode.acc_seg": 72.81636, "aux.loss_seg": 0.17482, "aux.acc_seg": 66.87923, "loss": 0.39671, "time": 0.39997} +{"mode": "train", "epoch": 131, "iter": 82350, "lr": 3e-05, "memory": 22018, "data_time": 0.00694, "decode.loss_seg": 0.2301, "decode.acc_seg": 73.2122, "aux.loss_seg": 0.1775, "aux.acc_seg": 67.55042, "loss": 0.4076, "time": 0.40048} +{"mode": "train", "epoch": 131, "iter": 82400, "lr": 3e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.23965, "decode.acc_seg": 73.21017, "aux.loss_seg": 0.18411, "aux.acc_seg": 67.17497, "loss": 0.42376, "time": 0.39877} +{"mode": "train", "epoch": 131, "iter": 82450, "lr": 3e-05, "memory": 22018, "data_time": 0.00689, "decode.loss_seg": 0.2241, "decode.acc_seg": 74.23287, "aux.loss_seg": 0.17793, "aux.acc_seg": 68.24978, "loss": 0.40203, "time": 0.39956} +{"mode": "train", "epoch": 131, "iter": 82500, "lr": 3e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.23739, "decode.acc_seg": 73.22745, "aux.loss_seg": 0.18741, "aux.acc_seg": 67.00484, "loss": 0.4248, "time": 0.40022} +{"mode": "train", "epoch": 131, "iter": 82550, "lr": 3e-05, "memory": 22018, "data_time": 0.00676, "decode.loss_seg": 0.22793, "decode.acc_seg": 72.66886, "aux.loss_seg": 0.17865, "aux.acc_seg": 66.73118, "loss": 0.40658, "time": 0.40134} +{"mode": "train", "epoch": 131, "iter": 82600, "lr": 3e-05, "memory": 22018, "data_time": 0.00667, "decode.loss_seg": 0.2317, "decode.acc_seg": 73.20226, "aux.loss_seg": 0.18451, "aux.acc_seg": 66.84285, "loss": 0.41621, "time": 0.40113} +{"mode": "train", "epoch": 131, "iter": 82650, "lr": 3e-05, "memory": 22018, "data_time": 0.0066, "decode.loss_seg": 0.23451, "decode.acc_seg": 74.25586, "aux.loss_seg": 0.18565, "aux.acc_seg": 68.22197, "loss": 0.42016, "time": 0.40132} +{"mode": "train", "epoch": 132, "iter": 82700, "lr": 3e-05, "memory": 22018, "data_time": 0.16842, "decode.loss_seg": 0.23813, "decode.acc_seg": 73.68215, "aux.loss_seg": 0.18611, "aux.acc_seg": 67.68, "loss": 0.42424, "time": 0.56138} +{"mode": "train", "epoch": 132, "iter": 82750, "lr": 3e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.23121, "decode.acc_seg": 73.19401, "aux.loss_seg": 0.1786, "aux.acc_seg": 67.50889, "loss": 0.40981, "time": 0.40019} +{"mode": "train", "epoch": 132, "iter": 82800, "lr": 3e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.23169, "decode.acc_seg": 74.16975, "aux.loss_seg": 0.17582, "aux.acc_seg": 68.70977, "loss": 0.40751, "time": 0.40012} +{"mode": "train", "epoch": 132, "iter": 82850, "lr": 3e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.22166, "decode.acc_seg": 72.91518, "aux.loss_seg": 0.17868, "aux.acc_seg": 66.8552, "loss": 0.40034, "time": 0.40461} +{"mode": "train", "epoch": 132, "iter": 82900, "lr": 3e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.2254, "decode.acc_seg": 73.22654, "aux.loss_seg": 0.17471, "aux.acc_seg": 67.42748, "loss": 0.40011, "time": 0.4022} +{"mode": "train", "epoch": 132, "iter": 82950, "lr": 3e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.23767, "decode.acc_seg": 73.31922, "aux.loss_seg": 0.18348, "aux.acc_seg": 67.42472, "loss": 0.42115, "time": 0.40297} +{"mode": "train", "epoch": 132, "iter": 83000, "lr": 3e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.24112, "decode.acc_seg": 72.8578, "aux.loss_seg": 0.18763, "aux.acc_seg": 66.87646, "loss": 0.42875, "time": 0.40272} +{"mode": "train", "epoch": 132, "iter": 83050, "lr": 3e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.23492, "decode.acc_seg": 73.09814, "aux.loss_seg": 0.18192, "aux.acc_seg": 67.12979, "loss": 0.41684, "time": 0.40292} +{"mode": "train", "epoch": 132, "iter": 83100, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.24016, "decode.acc_seg": 72.56676, "aux.loss_seg": 0.18818, "aux.acc_seg": 66.47047, "loss": 0.42833, "time": 0.40348} +{"mode": "train", "epoch": 132, "iter": 83150, "lr": 3e-05, "memory": 22018, "data_time": 0.00867, "decode.loss_seg": 0.22214, "decode.acc_seg": 72.1246, "aux.loss_seg": 0.17161, "aux.acc_seg": 66.53489, "loss": 0.39375, "time": 0.4016} +{"mode": "train", "epoch": 132, "iter": 83200, "lr": 3e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.23079, "decode.acc_seg": 73.2208, "aux.loss_seg": 0.18263, "aux.acc_seg": 67.17783, "loss": 0.41342, "time": 0.40367} +{"mode": "train", "epoch": 132, "iter": 83250, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.23427, "decode.acc_seg": 74.0571, "aux.loss_seg": 0.18061, "aux.acc_seg": 68.15534, "loss": 0.41488, "time": 0.40197} +{"mode": "train", "epoch": 133, "iter": 83300, "lr": 3e-05, "memory": 22018, "data_time": 0.18205, "decode.loss_seg": 0.2394, "decode.acc_seg": 74.10473, "aux.loss_seg": 0.18598, "aux.acc_seg": 68.01655, "loss": 0.42538, "time": 0.5747} +{"mode": "train", "epoch": 133, "iter": 83350, "lr": 3e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.23105, "decode.acc_seg": 72.67361, "aux.loss_seg": 0.18379, "aux.acc_seg": 66.58754, "loss": 0.41484, "time": 0.40137} +{"mode": "train", "epoch": 133, "iter": 83400, "lr": 3e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.23587, "decode.acc_seg": 73.42882, "aux.loss_seg": 0.17982, "aux.acc_seg": 67.82807, "loss": 0.41569, "time": 0.4012} +{"mode": "train", "epoch": 133, "iter": 83450, "lr": 3e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.23245, "decode.acc_seg": 73.35889, "aux.loss_seg": 0.18006, "aux.acc_seg": 67.54793, "loss": 0.41251, "time": 0.40074} +{"mode": "train", "epoch": 133, "iter": 83500, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.22885, "decode.acc_seg": 73.52468, "aux.loss_seg": 0.18154, "aux.acc_seg": 67.64309, "loss": 0.4104, "time": 0.40415} +{"mode": "train", "epoch": 133, "iter": 83550, "lr": 3e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.22856, "decode.acc_seg": 73.69198, "aux.loss_seg": 0.17767, "aux.acc_seg": 67.88048, "loss": 0.40623, "time": 0.40447} +{"mode": "train", "epoch": 133, "iter": 83600, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.22557, "decode.acc_seg": 71.66778, "aux.loss_seg": 0.17478, "aux.acc_seg": 65.90506, "loss": 0.40036, "time": 0.40374} +{"mode": "train", "epoch": 133, "iter": 83650, "lr": 3e-05, "memory": 22018, "data_time": 0.0097, "decode.loss_seg": 0.22907, "decode.acc_seg": 72.64498, "aux.loss_seg": 0.18284, "aux.acc_seg": 66.55693, "loss": 0.41191, "time": 0.40322} +{"mode": "train", "epoch": 133, "iter": 83700, "lr": 3e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.23551, "decode.acc_seg": 73.28355, "aux.loss_seg": 0.18259, "aux.acc_seg": 67.52998, "loss": 0.4181, "time": 0.40407} +{"mode": "train", "epoch": 133, "iter": 83750, "lr": 3e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.22969, "decode.acc_seg": 72.63381, "aux.loss_seg": 0.17835, "aux.acc_seg": 66.73107, "loss": 0.40804, "time": 0.40404} +{"mode": "train", "epoch": 133, "iter": 83800, "lr": 3e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.2298, "decode.acc_seg": 73.55619, "aux.loss_seg": 0.17873, "aux.acc_seg": 67.74688, "loss": 0.40852, "time": 0.40262} +{"mode": "train", "epoch": 133, "iter": 83850, "lr": 3e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.22746, "decode.acc_seg": 73.03799, "aux.loss_seg": 0.17869, "aux.acc_seg": 67.17716, "loss": 0.40615, "time": 0.40359} +{"mode": "train", "epoch": 133, "iter": 83900, "lr": 3e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.23139, "decode.acc_seg": 72.89531, "aux.loss_seg": 0.17777, "aux.acc_seg": 67.19374, "loss": 0.40916, "time": 0.40441} +{"mode": "train", "epoch": 134, "iter": 83950, "lr": 3e-05, "memory": 22018, "data_time": 0.16731, "decode.loss_seg": 0.22953, "decode.acc_seg": 74.094, "aux.loss_seg": 0.17594, "aux.acc_seg": 68.58394, "loss": 0.40547, "time": 0.56043} +{"mode": "train", "epoch": 134, "iter": 84000, "lr": 3e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.22246, "decode.acc_seg": 74.24759, "aux.loss_seg": 0.17706, "aux.acc_seg": 68.20801, "loss": 0.39952, "time": 0.3996} +{"mode": "train", "epoch": 134, "iter": 84050, "lr": 3e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.22742, "decode.acc_seg": 72.59849, "aux.loss_seg": 0.1761, "aux.acc_seg": 66.78428, "loss": 0.40352, "time": 0.40087} +{"mode": "train", "epoch": 134, "iter": 84100, "lr": 3e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.23021, "decode.acc_seg": 72.62166, "aux.loss_seg": 0.18442, "aux.acc_seg": 66.33126, "loss": 0.41463, "time": 0.40105} +{"mode": "train", "epoch": 134, "iter": 84150, "lr": 3e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.23356, "decode.acc_seg": 74.10376, "aux.loss_seg": 0.18141, "aux.acc_seg": 68.25211, "loss": 0.41497, "time": 0.39985} +{"mode": "train", "epoch": 134, "iter": 84200, "lr": 3e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.22732, "decode.acc_seg": 73.4734, "aux.loss_seg": 0.17888, "aux.acc_seg": 67.55563, "loss": 0.4062, "time": 0.40022} +{"mode": "train", "epoch": 134, "iter": 84250, "lr": 3e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.22754, "decode.acc_seg": 72.73912, "aux.loss_seg": 0.17639, "aux.acc_seg": 67.10785, "loss": 0.40393, "time": 0.40139} +{"mode": "train", "epoch": 134, "iter": 84300, "lr": 3e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.23316, "decode.acc_seg": 73.26075, "aux.loss_seg": 0.18429, "aux.acc_seg": 67.19353, "loss": 0.41745, "time": 0.40104} +{"mode": "train", "epoch": 134, "iter": 84350, "lr": 3e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.23398, "decode.acc_seg": 72.80948, "aux.loss_seg": 0.17846, "aux.acc_seg": 67.14004, "loss": 0.41244, "time": 0.40188} +{"mode": "train", "epoch": 134, "iter": 84400, "lr": 3e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.23701, "decode.acc_seg": 72.78459, "aux.loss_seg": 0.18319, "aux.acc_seg": 66.75107, "loss": 0.4202, "time": 0.40091} +{"mode": "train", "epoch": 134, "iter": 84450, "lr": 3e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.23937, "decode.acc_seg": 74.02694, "aux.loss_seg": 0.18703, "aux.acc_seg": 67.89401, "loss": 0.4264, "time": 0.40276} +{"mode": "train", "epoch": 134, "iter": 84500, "lr": 3e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.2305, "decode.acc_seg": 72.34484, "aux.loss_seg": 0.17784, "aux.acc_seg": 66.68467, "loss": 0.40833, "time": 0.40171} +{"mode": "train", "epoch": 134, "iter": 84550, "lr": 3e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.23561, "decode.acc_seg": 73.35739, "aux.loss_seg": 0.18358, "aux.acc_seg": 67.37282, "loss": 0.4192, "time": 0.40185} +{"mode": "train", "epoch": 135, "iter": 84600, "lr": 3e-05, "memory": 22018, "data_time": 0.17479, "decode.loss_seg": 0.22647, "decode.acc_seg": 73.15072, "aux.loss_seg": 0.17636, "aux.acc_seg": 67.35762, "loss": 0.40284, "time": 0.56822} +{"mode": "train", "epoch": 135, "iter": 84650, "lr": 3e-05, "memory": 22018, "data_time": 0.00715, "decode.loss_seg": 0.227, "decode.acc_seg": 72.94279, "aux.loss_seg": 0.17958, "aux.acc_seg": 66.96752, "loss": 0.40658, "time": 0.40002} +{"mode": "train", "epoch": 135, "iter": 84700, "lr": 3e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.21629, "decode.acc_seg": 72.1838, "aux.loss_seg": 0.16945, "aux.acc_seg": 66.64355, "loss": 0.38574, "time": 0.40192} +{"mode": "train", "epoch": 135, "iter": 84750, "lr": 3e-05, "memory": 22018, "data_time": 0.00751, "decode.loss_seg": 0.21287, "decode.acc_seg": 73.64551, "aux.loss_seg": 0.16939, "aux.acc_seg": 67.95608, "loss": 0.38226, "time": 0.40157} +{"mode": "train", "epoch": 135, "iter": 84800, "lr": 3e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.23153, "decode.acc_seg": 74.52061, "aux.loss_seg": 0.18259, "aux.acc_seg": 68.31372, "loss": 0.41412, "time": 0.40108} +{"mode": "train", "epoch": 135, "iter": 84850, "lr": 3e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.22952, "decode.acc_seg": 72.79542, "aux.loss_seg": 0.18098, "aux.acc_seg": 66.84612, "loss": 0.41051, "time": 0.40208} +{"mode": "train", "epoch": 135, "iter": 84900, "lr": 3e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.23327, "decode.acc_seg": 74.4302, "aux.loss_seg": 0.18076, "aux.acc_seg": 68.47067, "loss": 0.41403, "time": 0.40132} +{"mode": "train", "epoch": 135, "iter": 84950, "lr": 3e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.21915, "decode.acc_seg": 73.50152, "aux.loss_seg": 0.17826, "aux.acc_seg": 67.2321, "loss": 0.39741, "time": 0.40025} +{"mode": "train", "epoch": 135, "iter": 85000, "lr": 3e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.23394, "decode.acc_seg": 72.70197, "aux.loss_seg": 0.17906, "aux.acc_seg": 66.97074, "loss": 0.41301, "time": 0.4006} +{"mode": "train", "epoch": 135, "iter": 85050, "lr": 3e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.24947, "decode.acc_seg": 73.15037, "aux.loss_seg": 0.18716, "aux.acc_seg": 67.36766, "loss": 0.43662, "time": 0.40083} +{"mode": "train", "epoch": 135, "iter": 85100, "lr": 3e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.23826, "decode.acc_seg": 72.34961, "aux.loss_seg": 0.18346, "aux.acc_seg": 66.33629, "loss": 0.42172, "time": 0.40113} +{"mode": "train", "epoch": 135, "iter": 85150, "lr": 3e-05, "memory": 22018, "data_time": 0.00716, "decode.loss_seg": 0.22903, "decode.acc_seg": 72.29087, "aux.loss_seg": 0.17817, "aux.acc_seg": 66.56404, "loss": 0.4072, "time": 0.40093} +{"mode": "train", "epoch": 136, "iter": 85200, "lr": 3e-05, "memory": 22018, "data_time": 0.17516, "decode.loss_seg": 0.23216, "decode.acc_seg": 73.89688, "aux.loss_seg": 0.18038, "aux.acc_seg": 68.08786, "loss": 0.41254, "time": 0.56839} +{"mode": "train", "epoch": 136, "iter": 85250, "lr": 3e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.22986, "decode.acc_seg": 72.90956, "aux.loss_seg": 0.17909, "aux.acc_seg": 66.8942, "loss": 0.40894, "time": 0.40094} +{"mode": "train", "epoch": 136, "iter": 85300, "lr": 3e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.22783, "decode.acc_seg": 73.43946, "aux.loss_seg": 0.1795, "aux.acc_seg": 67.5203, "loss": 0.40733, "time": 0.40128} +{"mode": "train", "epoch": 136, "iter": 85350, "lr": 3e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.22315, "decode.acc_seg": 73.34006, "aux.loss_seg": 0.17416, "aux.acc_seg": 67.70604, "loss": 0.39732, "time": 0.40237} +{"mode": "train", "epoch": 136, "iter": 85400, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.23083, "decode.acc_seg": 72.46788, "aux.loss_seg": 0.17965, "aux.acc_seg": 66.59849, "loss": 0.41049, "time": 0.40277} +{"mode": "train", "epoch": 136, "iter": 85450, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.21321, "decode.acc_seg": 72.30975, "aux.loss_seg": 0.16629, "aux.acc_seg": 66.85335, "loss": 0.3795, "time": 0.40253} +{"mode": "train", "epoch": 136, "iter": 85500, "lr": 3e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.22586, "decode.acc_seg": 73.1127, "aux.loss_seg": 0.17909, "aux.acc_seg": 67.02675, "loss": 0.40495, "time": 0.40185} +{"mode": "train", "epoch": 136, "iter": 85550, "lr": 3e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.22132, "decode.acc_seg": 73.29835, "aux.loss_seg": 0.17286, "aux.acc_seg": 67.55615, "loss": 0.39417, "time": 0.4016} +{"mode": "train", "epoch": 136, "iter": 85600, "lr": 3e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.23085, "decode.acc_seg": 73.60348, "aux.loss_seg": 0.17839, "aux.acc_seg": 67.86071, "loss": 0.40924, "time": 0.40219} +{"mode": "train", "epoch": 136, "iter": 85650, "lr": 3e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.22806, "decode.acc_seg": 73.38113, "aux.loss_seg": 0.17643, "aux.acc_seg": 67.66145, "loss": 0.40449, "time": 0.40371} +{"mode": "train", "epoch": 136, "iter": 85700, "lr": 3e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.22884, "decode.acc_seg": 72.99605, "aux.loss_seg": 0.17757, "aux.acc_seg": 67.13763, "loss": 0.40641, "time": 0.40302} +{"mode": "train", "epoch": 136, "iter": 85750, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.23507, "decode.acc_seg": 73.15243, "aux.loss_seg": 0.18532, "aux.acc_seg": 66.92643, "loss": 0.42039, "time": 0.40228} +{"mode": "train", "epoch": 136, "iter": 85800, "lr": 3e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.2211, "decode.acc_seg": 73.22263, "aux.loss_seg": 0.17584, "aux.acc_seg": 67.10936, "loss": 0.39694, "time": 0.40317} +{"mode": "train", "epoch": 137, "iter": 85850, "lr": 3e-05, "memory": 22018, "data_time": 0.17752, "decode.loss_seg": 0.23008, "decode.acc_seg": 73.57812, "aux.loss_seg": 0.18373, "aux.acc_seg": 67.22462, "loss": 0.4138, "time": 0.57034} +{"mode": "train", "epoch": 137, "iter": 85900, "lr": 3e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.22274, "decode.acc_seg": 72.71215, "aux.loss_seg": 0.17747, "aux.acc_seg": 66.72146, "loss": 0.40021, "time": 0.40034} +{"mode": "train", "epoch": 137, "iter": 85950, "lr": 3e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.22319, "decode.acc_seg": 72.99496, "aux.loss_seg": 0.17189, "aux.acc_seg": 67.45521, "loss": 0.39509, "time": 0.39997} +{"mode": "train", "epoch": 137, "iter": 86000, "lr": 3e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.22489, "decode.acc_seg": 73.26986, "aux.loss_seg": 0.17403, "aux.acc_seg": 67.52675, "loss": 0.39892, "time": 0.40183} +{"mode": "train", "epoch": 137, "iter": 86050, "lr": 3e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.22308, "decode.acc_seg": 73.5804, "aux.loss_seg": 0.17847, "aux.acc_seg": 67.47685, "loss": 0.40155, "time": 0.40074} +{"mode": "train", "epoch": 137, "iter": 86100, "lr": 3e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.21469, "decode.acc_seg": 72.37586, "aux.loss_seg": 0.16929, "aux.acc_seg": 66.92304, "loss": 0.38398, "time": 0.40045} +{"mode": "train", "epoch": 137, "iter": 86150, "lr": 3e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.22064, "decode.acc_seg": 73.2678, "aux.loss_seg": 0.17146, "aux.acc_seg": 67.62187, "loss": 0.39209, "time": 0.40092} +{"mode": "train", "epoch": 137, "iter": 86200, "lr": 3e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.22035, "decode.acc_seg": 72.62086, "aux.loss_seg": 0.17219, "aux.acc_seg": 67.0021, "loss": 0.39254, "time": 0.4011} +{"mode": "train", "epoch": 137, "iter": 86250, "lr": 3e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.22749, "decode.acc_seg": 73.61741, "aux.loss_seg": 0.17526, "aux.acc_seg": 68.02705, "loss": 0.40276, "time": 0.40068} +{"mode": "train", "epoch": 137, "iter": 86300, "lr": 3e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.23406, "decode.acc_seg": 73.03529, "aux.loss_seg": 0.18022, "aux.acc_seg": 67.27986, "loss": 0.41429, "time": 0.4006} +{"mode": "train", "epoch": 137, "iter": 86350, "lr": 3e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.21624, "decode.acc_seg": 73.77628, "aux.loss_seg": 0.17008, "aux.acc_seg": 68.27022, "loss": 0.38631, "time": 0.40068} +{"mode": "train", "epoch": 137, "iter": 86400, "lr": 3e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.23928, "decode.acc_seg": 72.97998, "aux.loss_seg": 0.18284, "aux.acc_seg": 67.12055, "loss": 0.42213, "time": 0.40078} +{"mode": "train", "epoch": 138, "iter": 86450, "lr": 3e-05, "memory": 22018, "data_time": 0.17212, "decode.loss_seg": 0.23158, "decode.acc_seg": 73.24824, "aux.loss_seg": 0.17606, "aux.acc_seg": 67.83257, "loss": 0.40763, "time": 0.56578} +{"mode": "train", "epoch": 138, "iter": 86500, "lr": 3e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.22581, "decode.acc_seg": 73.38525, "aux.loss_seg": 0.17662, "aux.acc_seg": 67.53927, "loss": 0.40243, "time": 0.40158} +{"mode": "train", "epoch": 138, "iter": 86550, "lr": 3e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.22771, "decode.acc_seg": 73.13214, "aux.loss_seg": 0.17217, "aux.acc_seg": 67.79957, "loss": 0.39988, "time": 0.40169} +{"mode": "train", "epoch": 138, "iter": 86600, "lr": 3e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.23847, "decode.acc_seg": 73.48393, "aux.loss_seg": 0.18207, "aux.acc_seg": 67.72429, "loss": 0.42054, "time": 0.40031} +{"mode": "train", "epoch": 138, "iter": 86650, "lr": 3e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.2319, "decode.acc_seg": 73.27896, "aux.loss_seg": 0.18436, "aux.acc_seg": 66.94007, "loss": 0.41626, "time": 0.4016} +{"mode": "train", "epoch": 138, "iter": 86700, "lr": 3e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.22968, "decode.acc_seg": 72.91317, "aux.loss_seg": 0.18096, "aux.acc_seg": 66.94009, "loss": 0.41064, "time": 0.4015} +{"mode": "train", "epoch": 138, "iter": 86750, "lr": 3e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.22578, "decode.acc_seg": 73.61743, "aux.loss_seg": 0.17606, "aux.acc_seg": 67.89447, "loss": 0.40183, "time": 0.40148} +{"mode": "train", "epoch": 138, "iter": 86800, "lr": 3e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.22054, "decode.acc_seg": 72.63784, "aux.loss_seg": 0.17293, "aux.acc_seg": 66.96063, "loss": 0.39348, "time": 0.40138} +{"mode": "train", "epoch": 138, "iter": 86850, "lr": 3e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.22707, "decode.acc_seg": 74.10281, "aux.loss_seg": 0.17467, "aux.acc_seg": 68.32027, "loss": 0.40174, "time": 0.39997} +{"mode": "train", "epoch": 138, "iter": 86900, "lr": 3e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.2292, "decode.acc_seg": 74.18158, "aux.loss_seg": 0.17775, "aux.acc_seg": 68.49686, "loss": 0.40696, "time": 0.39995} +{"mode": "train", "epoch": 138, "iter": 86950, "lr": 3e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.23207, "decode.acc_seg": 73.78792, "aux.loss_seg": 0.17943, "aux.acc_seg": 67.98035, "loss": 0.4115, "time": 0.40166} +{"mode": "train", "epoch": 138, "iter": 87000, "lr": 3e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.2209, "decode.acc_seg": 73.43208, "aux.loss_seg": 0.17591, "aux.acc_seg": 67.53262, "loss": 0.39681, "time": 0.40019} +{"mode": "train", "epoch": 138, "iter": 87050, "lr": 3e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.22729, "decode.acc_seg": 73.67015, "aux.loss_seg": 0.17938, "aux.acc_seg": 67.77106, "loss": 0.40667, "time": 0.40171} +{"mode": "train", "epoch": 139, "iter": 87100, "lr": 3e-05, "memory": 22018, "data_time": 0.17553, "decode.loss_seg": 0.22717, "decode.acc_seg": 73.11105, "aux.loss_seg": 0.17713, "aux.acc_seg": 67.28742, "loss": 0.4043, "time": 0.56836} +{"mode": "train", "epoch": 139, "iter": 87150, "lr": 3e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.21514, "decode.acc_seg": 72.0786, "aux.loss_seg": 0.16799, "aux.acc_seg": 66.46176, "loss": 0.38313, "time": 0.39925} +{"mode": "train", "epoch": 139, "iter": 87200, "lr": 3e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.21848, "decode.acc_seg": 73.56968, "aux.loss_seg": 0.17258, "aux.acc_seg": 67.74371, "loss": 0.39107, "time": 0.40256} +{"mode": "train", "epoch": 139, "iter": 87250, "lr": 3e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.21724, "decode.acc_seg": 73.75822, "aux.loss_seg": 0.1731, "aux.acc_seg": 67.84492, "loss": 0.39034, "time": 0.40092} +{"mode": "train", "epoch": 139, "iter": 87300, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.22255, "decode.acc_seg": 73.64135, "aux.loss_seg": 0.1833, "aux.acc_seg": 67.41681, "loss": 0.40585, "time": 0.40109} +{"mode": "train", "epoch": 139, "iter": 87350, "lr": 3e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.22429, "decode.acc_seg": 73.80332, "aux.loss_seg": 0.17731, "aux.acc_seg": 67.74971, "loss": 0.4016, "time": 0.40075} +{"mode": "train", "epoch": 139, "iter": 87400, "lr": 3e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.23146, "decode.acc_seg": 72.91664, "aux.loss_seg": 0.17679, "aux.acc_seg": 67.2503, "loss": 0.40825, "time": 0.40031} +{"mode": "train", "epoch": 139, "iter": 87450, "lr": 3e-05, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.22023, "decode.acc_seg": 72.6416, "aux.loss_seg": 0.17551, "aux.acc_seg": 66.65913, "loss": 0.39573, "time": 0.40016} +{"mode": "train", "epoch": 139, "iter": 87500, "lr": 3e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.23357, "decode.acc_seg": 72.98636, "aux.loss_seg": 0.18321, "aux.acc_seg": 66.95851, "loss": 0.41678, "time": 0.3998} +{"mode": "train", "epoch": 139, "iter": 87550, "lr": 3e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.213, "decode.acc_seg": 73.22021, "aux.loss_seg": 0.17147, "aux.acc_seg": 67.53766, "loss": 0.38447, "time": 0.40029} +{"mode": "train", "epoch": 139, "iter": 87600, "lr": 3e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.23053, "decode.acc_seg": 73.44554, "aux.loss_seg": 0.1756, "aux.acc_seg": 67.86932, "loss": 0.40613, "time": 0.40097} +{"mode": "train", "epoch": 139, "iter": 87650, "lr": 3e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.23602, "decode.acc_seg": 73.13734, "aux.loss_seg": 0.18332, "aux.acc_seg": 67.34643, "loss": 0.41934, "time": 0.40249} +{"mode": "train", "epoch": 139, "iter": 87700, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.21986, "decode.acc_seg": 73.20332, "aux.loss_seg": 0.17388, "aux.acc_seg": 67.50532, "loss": 0.39374, "time": 0.40259} +{"mode": "train", "epoch": 140, "iter": 87750, "lr": 3e-05, "memory": 22018, "data_time": 0.18472, "decode.loss_seg": 0.22177, "decode.acc_seg": 74.69109, "aux.loss_seg": 0.17499, "aux.acc_seg": 68.8797, "loss": 0.39676, "time": 0.5776} +{"mode": "train", "epoch": 140, "iter": 87800, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.21983, "decode.acc_seg": 73.87214, "aux.loss_seg": 0.17515, "aux.acc_seg": 68.08358, "loss": 0.39498, "time": 0.4021} +{"mode": "train", "epoch": 140, "iter": 87850, "lr": 3e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.23259, "decode.acc_seg": 73.70318, "aux.loss_seg": 0.17897, "aux.acc_seg": 68.03595, "loss": 0.41156, "time": 0.40269} +{"mode": "train", "epoch": 140, "iter": 87900, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.21657, "decode.acc_seg": 72.7895, "aux.loss_seg": 0.16639, "aux.acc_seg": 67.38127, "loss": 0.38297, "time": 0.40403} +{"mode": "train", "epoch": 140, "iter": 87950, "lr": 3e-05, "memory": 22018, "data_time": 0.01021, "decode.loss_seg": 0.21762, "decode.acc_seg": 73.48472, "aux.loss_seg": 0.17272, "aux.acc_seg": 67.71655, "loss": 0.39034, "time": 0.40339} +{"mode": "train", "epoch": 140, "iter": 88000, "lr": 3e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.22143, "decode.acc_seg": 73.5298, "aux.loss_seg": 0.17519, "aux.acc_seg": 67.70647, "loss": 0.39662, "time": 0.40263} +{"mode": "train", "epoch": 140, "iter": 88050, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.21897, "decode.acc_seg": 73.4034, "aux.loss_seg": 0.1733, "aux.acc_seg": 67.61947, "loss": 0.39228, "time": 0.40299} +{"mode": "train", "epoch": 140, "iter": 88100, "lr": 3e-05, "memory": 22018, "data_time": 0.01022, "decode.loss_seg": 0.21607, "decode.acc_seg": 73.63231, "aux.loss_seg": 0.17586, "aux.acc_seg": 67.5254, "loss": 0.39193, "time": 0.40356} +{"mode": "train", "epoch": 140, "iter": 88150, "lr": 3e-05, "memory": 22018, "data_time": 0.01051, "decode.loss_seg": 0.22127, "decode.acc_seg": 72.99618, "aux.loss_seg": 0.17594, "aux.acc_seg": 67.18545, "loss": 0.3972, "time": 0.40301} +{"mode": "train", "epoch": 140, "iter": 88200, "lr": 3e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.22796, "decode.acc_seg": 74.06305, "aux.loss_seg": 0.17601, "aux.acc_seg": 68.21218, "loss": 0.40397, "time": 0.40302} +{"mode": "train", "epoch": 140, "iter": 88250, "lr": 3e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.23603, "decode.acc_seg": 73.39456, "aux.loss_seg": 0.18316, "aux.acc_seg": 67.52725, "loss": 0.41919, "time": 0.40366} +{"mode": "train", "epoch": 140, "iter": 88300, "lr": 3e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.22312, "decode.acc_seg": 73.03667, "aux.loss_seg": 0.17603, "aux.acc_seg": 67.16913, "loss": 0.39915, "time": 0.40269} +{"mode": "train", "epoch": 141, "iter": 88350, "lr": 3e-05, "memory": 22018, "data_time": 0.18103, "decode.loss_seg": 0.22178, "decode.acc_seg": 73.14751, "aux.loss_seg": 0.17159, "aux.acc_seg": 67.53344, "loss": 0.39337, "time": 0.57346} +{"mode": "train", "epoch": 141, "iter": 88400, "lr": 3e-05, "memory": 22018, "data_time": 0.00717, "decode.loss_seg": 0.21914, "decode.acc_seg": 73.41763, "aux.loss_seg": 0.17514, "aux.acc_seg": 67.38115, "loss": 0.39428, "time": 0.39994} +{"mode": "train", "epoch": 141, "iter": 88450, "lr": 3e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.22125, "decode.acc_seg": 73.44105, "aux.loss_seg": 0.17513, "aux.acc_seg": 67.39447, "loss": 0.39638, "time": 0.40092} +{"mode": "train", "epoch": 141, "iter": 88500, "lr": 3e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.22103, "decode.acc_seg": 72.71945, "aux.loss_seg": 0.17284, "aux.acc_seg": 66.92166, "loss": 0.39387, "time": 0.40179} +{"mode": "train", "epoch": 141, "iter": 88550, "lr": 3e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.22525, "decode.acc_seg": 73.10969, "aux.loss_seg": 0.17592, "aux.acc_seg": 67.46763, "loss": 0.40117, "time": 0.40104} +{"mode": "train", "epoch": 141, "iter": 88600, "lr": 3e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.2174, "decode.acc_seg": 73.75696, "aux.loss_seg": 0.17605, "aux.acc_seg": 67.70756, "loss": 0.39345, "time": 0.40106} +{"mode": "train", "epoch": 141, "iter": 88650, "lr": 3e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.21235, "decode.acc_seg": 73.81619, "aux.loss_seg": 0.16555, "aux.acc_seg": 68.3345, "loss": 0.3779, "time": 0.39983} +{"mode": "train", "epoch": 141, "iter": 88700, "lr": 3e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.21463, "decode.acc_seg": 73.75734, "aux.loss_seg": 0.17304, "aux.acc_seg": 67.92713, "loss": 0.38766, "time": 0.40119} +{"mode": "train", "epoch": 141, "iter": 88750, "lr": 3e-05, "memory": 22018, "data_time": 0.00703, "decode.loss_seg": 0.22187, "decode.acc_seg": 73.27937, "aux.loss_seg": 0.17717, "aux.acc_seg": 67.15875, "loss": 0.39904, "time": 0.40145} +{"mode": "train", "epoch": 141, "iter": 88800, "lr": 3e-05, "memory": 22018, "data_time": 0.00676, "decode.loss_seg": 0.22663, "decode.acc_seg": 73.66564, "aux.loss_seg": 0.17633, "aux.acc_seg": 67.88033, "loss": 0.40297, "time": 0.39994} +{"mode": "train", "epoch": 141, "iter": 88850, "lr": 3e-05, "memory": 22018, "data_time": 0.00659, "decode.loss_seg": 0.22081, "decode.acc_seg": 72.87988, "aux.loss_seg": 0.17802, "aux.acc_seg": 66.79477, "loss": 0.39882, "time": 0.40106} +{"mode": "train", "epoch": 141, "iter": 88900, "lr": 3e-05, "memory": 22018, "data_time": 0.00645, "decode.loss_seg": 0.22721, "decode.acc_seg": 72.85617, "aux.loss_seg": 0.17401, "aux.acc_seg": 67.24296, "loss": 0.40123, "time": 0.40069} +{"mode": "train", "epoch": 141, "iter": 88950, "lr": 3e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.22549, "decode.acc_seg": 72.92866, "aux.loss_seg": 0.17787, "aux.acc_seg": 67.11291, "loss": 0.40336, "time": 0.4008} +{"mode": "train", "epoch": 142, "iter": 89000, "lr": 3e-05, "memory": 22018, "data_time": 0.17691, "decode.loss_seg": 0.22627, "decode.acc_seg": 72.92127, "aux.loss_seg": 0.17941, "aux.acc_seg": 66.91092, "loss": 0.40569, "time": 0.56988} +{"mode": "train", "epoch": 142, "iter": 89050, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.22403, "decode.acc_seg": 74.39621, "aux.loss_seg": 0.17232, "aux.acc_seg": 68.80689, "loss": 0.39635, "time": 0.401} +{"mode": "train", "epoch": 142, "iter": 89100, "lr": 3e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.21591, "decode.acc_seg": 73.12314, "aux.loss_seg": 0.17342, "aux.acc_seg": 67.15135, "loss": 0.38932, "time": 0.40265} +{"mode": "train", "epoch": 142, "iter": 89150, "lr": 3e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.22773, "decode.acc_seg": 72.89674, "aux.loss_seg": 0.18063, "aux.acc_seg": 66.83173, "loss": 0.40836, "time": 0.40408} +{"mode": "train", "epoch": 142, "iter": 89200, "lr": 3e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.22862, "decode.acc_seg": 73.42356, "aux.loss_seg": 0.17569, "aux.acc_seg": 67.74787, "loss": 0.40431, "time": 0.40483} +{"mode": "train", "epoch": 142, "iter": 89250, "lr": 3e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.22288, "decode.acc_seg": 73.81888, "aux.loss_seg": 0.17121, "aux.acc_seg": 68.20578, "loss": 0.39409, "time": 0.4031} +{"mode": "train", "epoch": 142, "iter": 89300, "lr": 3e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.22897, "decode.acc_seg": 72.91806, "aux.loss_seg": 0.17881, "aux.acc_seg": 67.10534, "loss": 0.40778, "time": 0.40298} +{"mode": "train", "epoch": 142, "iter": 89350, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.21997, "decode.acc_seg": 72.84823, "aux.loss_seg": 0.17363, "aux.acc_seg": 67.16154, "loss": 0.3936, "time": 0.40334} +{"mode": "train", "epoch": 142, "iter": 89400, "lr": 3e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.22088, "decode.acc_seg": 73.70435, "aux.loss_seg": 0.17597, "aux.acc_seg": 67.80282, "loss": 0.39685, "time": 0.40365} +{"mode": "train", "epoch": 142, "iter": 89450, "lr": 3e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.22786, "decode.acc_seg": 73.57258, "aux.loss_seg": 0.17503, "aux.acc_seg": 67.8602, "loss": 0.40289, "time": 0.4031} +{"mode": "train", "epoch": 142, "iter": 89500, "lr": 3e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.22771, "decode.acc_seg": 74.26832, "aux.loss_seg": 0.17346, "aux.acc_seg": 68.75619, "loss": 0.40117, "time": 0.40272} +{"mode": "train", "epoch": 142, "iter": 89550, "lr": 3e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.22812, "decode.acc_seg": 72.23387, "aux.loss_seg": 0.17936, "aux.acc_seg": 66.35415, "loss": 0.40748, "time": 0.40327} +{"mode": "train", "epoch": 142, "iter": 89600, "lr": 3e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.222, "decode.acc_seg": 72.66916, "aux.loss_seg": 0.17619, "aux.acc_seg": 66.72447, "loss": 0.39819, "time": 0.40442} +{"mode": "train", "epoch": 143, "iter": 89650, "lr": 3e-05, "memory": 22018, "data_time": 0.17625, "decode.loss_seg": 0.22428, "decode.acc_seg": 73.83375, "aux.loss_seg": 0.17322, "aux.acc_seg": 68.24765, "loss": 0.39751, "time": 0.5703} +{"mode": "train", "epoch": 143, "iter": 89700, "lr": 3e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.21348, "decode.acc_seg": 74.33678, "aux.loss_seg": 0.17031, "aux.acc_seg": 68.53963, "loss": 0.38379, "time": 0.40161} +{"mode": "train", "epoch": 143, "iter": 89750, "lr": 3e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.22003, "decode.acc_seg": 73.27039, "aux.loss_seg": 0.17375, "aux.acc_seg": 67.49787, "loss": 0.39378, "time": 0.40295} +{"mode": "train", "epoch": 143, "iter": 89800, "lr": 3e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.22994, "decode.acc_seg": 74.07367, "aux.loss_seg": 0.18081, "aux.acc_seg": 67.95665, "loss": 0.41075, "time": 0.40207} +{"mode": "train", "epoch": 143, "iter": 89850, "lr": 3e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.21751, "decode.acc_seg": 73.41936, "aux.loss_seg": 0.17266, "aux.acc_seg": 67.59458, "loss": 0.39017, "time": 0.40112} +{"mode": "train", "epoch": 143, "iter": 89900, "lr": 3e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.21692, "decode.acc_seg": 73.67426, "aux.loss_seg": 0.17061, "aux.acc_seg": 68.18922, "loss": 0.38753, "time": 0.40211} +{"mode": "train", "epoch": 143, "iter": 89950, "lr": 3e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.22451, "decode.acc_seg": 72.92949, "aux.loss_seg": 0.17377, "aux.acc_seg": 67.20961, "loss": 0.39828, "time": 0.40205} +{"mode": "train", "epoch": 143, "iter": 90000, "lr": 3e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.22202, "decode.acc_seg": 73.16646, "aux.loss_seg": 0.17979, "aux.acc_seg": 66.99465, "loss": 0.40181, "time": 0.40306} +{"mode": "train", "epoch": 143, "iter": 90050, "lr": 3e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.22162, "decode.acc_seg": 73.66923, "aux.loss_seg": 0.17412, "aux.acc_seg": 67.83519, "loss": 0.39574, "time": 0.40268} +{"mode": "train", "epoch": 143, "iter": 90100, "lr": 3e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.22528, "decode.acc_seg": 73.12084, "aux.loss_seg": 0.17897, "aux.acc_seg": 67.21505, "loss": 0.40425, "time": 0.40215} +{"mode": "train", "epoch": 143, "iter": 90150, "lr": 3e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.22505, "decode.acc_seg": 73.59017, "aux.loss_seg": 0.17929, "aux.acc_seg": 67.47165, "loss": 0.40433, "time": 0.40152} +{"mode": "train", "epoch": 143, "iter": 90200, "lr": 3e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.22226, "decode.acc_seg": 74.89966, "aux.loss_seg": 0.17437, "aux.acc_seg": 69.17484, "loss": 0.39663, "time": 0.40158} +{"mode": "train", "epoch": 144, "iter": 90250, "lr": 3e-05, "memory": 22018, "data_time": 0.17357, "decode.loss_seg": 0.22611, "decode.acc_seg": 72.25621, "aux.loss_seg": 0.17588, "aux.acc_seg": 66.66407, "loss": 0.40199, "time": 0.56711} +{"mode": "train", "epoch": 144, "iter": 90300, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.21961, "decode.acc_seg": 73.89071, "aux.loss_seg": 0.17555, "aux.acc_seg": 67.99377, "loss": 0.39515, "time": 0.40033} +{"mode": "train", "epoch": 144, "iter": 90350, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.22242, "decode.acc_seg": 73.60981, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.99058, "loss": 0.39694, "time": 0.40021} +{"mode": "train", "epoch": 144, "iter": 90400, "lr": 3e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.21069, "decode.acc_seg": 74.02006, "aux.loss_seg": 0.17024, "aux.acc_seg": 68.1585, "loss": 0.38094, "time": 0.40215} +{"mode": "train", "epoch": 144, "iter": 90450, "lr": 3e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.22596, "decode.acc_seg": 73.78912, "aux.loss_seg": 0.17721, "aux.acc_seg": 68.065, "loss": 0.40317, "time": 0.4029} +{"mode": "train", "epoch": 144, "iter": 90500, "lr": 3e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.21303, "decode.acc_seg": 73.89039, "aux.loss_seg": 0.1708, "aux.acc_seg": 68.23264, "loss": 0.38382, "time": 0.40276} +{"mode": "train", "epoch": 144, "iter": 90550, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.21768, "decode.acc_seg": 73.48972, "aux.loss_seg": 0.17206, "aux.acc_seg": 67.67115, "loss": 0.38975, "time": 0.40203} +{"mode": "train", "epoch": 144, "iter": 90600, "lr": 3e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.2209, "decode.acc_seg": 74.93356, "aux.loss_seg": 0.17745, "aux.acc_seg": 69.09987, "loss": 0.39835, "time": 0.40245} +{"mode": "train", "epoch": 144, "iter": 90650, "lr": 3e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.22556, "decode.acc_seg": 73.45698, "aux.loss_seg": 0.17769, "aux.acc_seg": 67.43711, "loss": 0.40326, "time": 0.40197} +{"mode": "train", "epoch": 144, "iter": 90700, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.22356, "decode.acc_seg": 73.32884, "aux.loss_seg": 0.17634, "aux.acc_seg": 67.46389, "loss": 0.39991, "time": 0.40403} +{"mode": "train", "epoch": 144, "iter": 90750, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.22972, "decode.acc_seg": 73.14245, "aux.loss_seg": 0.18199, "aux.acc_seg": 67.11849, "loss": 0.41171, "time": 0.40209} +{"mode": "train", "epoch": 144, "iter": 90800, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.21222, "decode.acc_seg": 73.91432, "aux.loss_seg": 0.17376, "aux.acc_seg": 67.94543, "loss": 0.38598, "time": 0.4024} +{"mode": "train", "epoch": 144, "iter": 90850, "lr": 3e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.21259, "decode.acc_seg": 72.70356, "aux.loss_seg": 0.16641, "aux.acc_seg": 67.11736, "loss": 0.379, "time": 0.40038} +{"mode": "train", "epoch": 145, "iter": 90900, "lr": 3e-05, "memory": 22018, "data_time": 0.17812, "decode.loss_seg": 0.22812, "decode.acc_seg": 72.69446, "aux.loss_seg": 0.17617, "aux.acc_seg": 66.86614, "loss": 0.40429, "time": 0.57096} +{"mode": "train", "epoch": 145, "iter": 90950, "lr": 3e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.21732, "decode.acc_seg": 72.99736, "aux.loss_seg": 0.17163, "aux.acc_seg": 67.2592, "loss": 0.38895, "time": 0.40289} +{"mode": "train", "epoch": 145, "iter": 91000, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.22489, "decode.acc_seg": 73.15677, "aux.loss_seg": 0.1759, "aux.acc_seg": 67.33579, "loss": 0.40079, "time": 0.40274} +{"mode": "train", "epoch": 145, "iter": 91050, "lr": 3e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.21746, "decode.acc_seg": 72.91143, "aux.loss_seg": 0.17418, "aux.acc_seg": 67.14639, "loss": 0.39164, "time": 0.40333} +{"mode": "train", "epoch": 145, "iter": 91100, "lr": 3e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.22739, "decode.acc_seg": 73.67748, "aux.loss_seg": 0.17488, "aux.acc_seg": 68.12778, "loss": 0.40226, "time": 0.40203} +{"mode": "train", "epoch": 145, "iter": 91150, "lr": 3e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.21848, "decode.acc_seg": 73.17497, "aux.loss_seg": 0.17539, "aux.acc_seg": 67.33638, "loss": 0.39387, "time": 0.40281} +{"mode": "train", "epoch": 145, "iter": 91200, "lr": 3e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.22159, "decode.acc_seg": 73.61937, "aux.loss_seg": 0.17262, "aux.acc_seg": 68.00598, "loss": 0.3942, "time": 0.40182} +{"mode": "train", "epoch": 145, "iter": 91250, "lr": 3e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.21517, "decode.acc_seg": 73.79074, "aux.loss_seg": 0.17044, "aux.acc_seg": 67.95088, "loss": 0.38562, "time": 0.40328} +{"mode": "train", "epoch": 145, "iter": 91300, "lr": 3e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.22326, "decode.acc_seg": 73.74001, "aux.loss_seg": 0.17739, "aux.acc_seg": 67.80098, "loss": 0.40065, "time": 0.40506} +{"mode": "train", "epoch": 145, "iter": 91350, "lr": 3e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.21388, "decode.acc_seg": 73.70603, "aux.loss_seg": 0.17437, "aux.acc_seg": 67.78972, "loss": 0.38825, "time": 0.4029} +{"mode": "train", "epoch": 145, "iter": 91400, "lr": 3e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.21905, "decode.acc_seg": 73.33339, "aux.loss_seg": 0.17298, "aux.acc_seg": 67.46978, "loss": 0.39203, "time": 0.40416} +{"mode": "train", "epoch": 145, "iter": 91450, "lr": 3e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.22088, "decode.acc_seg": 74.11034, "aux.loss_seg": 0.17132, "aux.acc_seg": 68.46255, "loss": 0.3922, "time": 0.4041} +{"mode": "train", "epoch": 146, "iter": 91500, "lr": 3e-05, "memory": 22018, "data_time": 0.17964, "decode.loss_seg": 0.22128, "decode.acc_seg": 73.63281, "aux.loss_seg": 0.17866, "aux.acc_seg": 67.53114, "loss": 0.39994, "time": 0.57453} +{"mode": "train", "epoch": 146, "iter": 91550, "lr": 3e-05, "memory": 22018, "data_time": 0.00684, "decode.loss_seg": 0.21833, "decode.acc_seg": 72.79416, "aux.loss_seg": 0.17176, "aux.acc_seg": 67.01348, "loss": 0.39008, "time": 0.39848} +{"mode": "train", "epoch": 146, "iter": 91600, "lr": 3e-05, "memory": 22018, "data_time": 0.00662, "decode.loss_seg": 0.22094, "decode.acc_seg": 73.74826, "aux.loss_seg": 0.17355, "aux.acc_seg": 68.06715, "loss": 0.39449, "time": 0.39843} +{"mode": "train", "epoch": 146, "iter": 91650, "lr": 3e-05, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.22227, "decode.acc_seg": 73.06959, "aux.loss_seg": 0.17442, "aux.acc_seg": 67.08819, "loss": 0.39669, "time": 0.40083} +{"mode": "train", "epoch": 146, "iter": 91700, "lr": 3e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.21746, "decode.acc_seg": 74.91386, "aux.loss_seg": 0.17285, "aux.acc_seg": 69.25067, "loss": 0.39031, "time": 0.40187} +{"mode": "train", "epoch": 146, "iter": 91750, "lr": 3e-05, "memory": 22018, "data_time": 0.00631, "decode.loss_seg": 0.21487, "decode.acc_seg": 73.40193, "aux.loss_seg": 0.1684, "aux.acc_seg": 67.88557, "loss": 0.38326, "time": 0.39986} +{"mode": "train", "epoch": 146, "iter": 91800, "lr": 3e-05, "memory": 22018, "data_time": 0.00662, "decode.loss_seg": 0.20923, "decode.acc_seg": 73.34483, "aux.loss_seg": 0.16787, "aux.acc_seg": 67.40065, "loss": 0.3771, "time": 0.39968} +{"mode": "train", "epoch": 146, "iter": 91850, "lr": 3e-05, "memory": 22018, "data_time": 0.00665, "decode.loss_seg": 0.2233, "decode.acc_seg": 73.45142, "aux.loss_seg": 0.17437, "aux.acc_seg": 67.74663, "loss": 0.39767, "time": 0.39904} +{"mode": "train", "epoch": 146, "iter": 91900, "lr": 3e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.21881, "decode.acc_seg": 73.63063, "aux.loss_seg": 0.17264, "aux.acc_seg": 67.75271, "loss": 0.39145, "time": 0.3985} +{"mode": "train", "epoch": 146, "iter": 91950, "lr": 3e-05, "memory": 22018, "data_time": 0.00685, "decode.loss_seg": 0.22101, "decode.acc_seg": 74.02949, "aux.loss_seg": 0.17496, "aux.acc_seg": 68.16107, "loss": 0.39597, "time": 0.39916} +{"mode": "train", "epoch": 146, "iter": 92000, "lr": 3e-05, "memory": 22018, "data_time": 0.00644, "decode.loss_seg": 0.22408, "decode.acc_seg": 73.90617, "aux.loss_seg": 0.17442, "aux.acc_seg": 68.14618, "loss": 0.39849, "time": 0.40077} +{"mode": "train", "epoch": 146, "iter": 92050, "lr": 3e-05, "memory": 22018, "data_time": 0.00678, "decode.loss_seg": 0.21183, "decode.acc_seg": 73.2963, "aux.loss_seg": 0.17162, "aux.acc_seg": 67.52424, "loss": 0.38345, "time": 0.39921} +{"mode": "train", "epoch": 146, "iter": 92100, "lr": 3e-05, "memory": 22018, "data_time": 0.0065, "decode.loss_seg": 0.21585, "decode.acc_seg": 73.19413, "aux.loss_seg": 0.17359, "aux.acc_seg": 67.20345, "loss": 0.38944, "time": 0.40018} +{"mode": "train", "epoch": 147, "iter": 92150, "lr": 3e-05, "memory": 22018, "data_time": 0.17697, "decode.loss_seg": 0.21327, "decode.acc_seg": 74.34898, "aux.loss_seg": 0.17384, "aux.acc_seg": 68.34978, "loss": 0.38711, "time": 0.57153} +{"mode": "train", "epoch": 147, "iter": 92200, "lr": 3e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.21981, "decode.acc_seg": 74.19762, "aux.loss_seg": 0.18178, "aux.acc_seg": 67.87409, "loss": 0.40159, "time": 0.40064} +{"mode": "train", "epoch": 147, "iter": 92250, "lr": 3e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.22142, "decode.acc_seg": 73.63746, "aux.loss_seg": 0.17662, "aux.acc_seg": 67.73109, "loss": 0.39804, "time": 0.40219} +{"mode": "train", "epoch": 147, "iter": 92300, "lr": 3e-05, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.21925, "decode.acc_seg": 73.54477, "aux.loss_seg": 0.17536, "aux.acc_seg": 67.6192, "loss": 0.39461, "time": 0.40398} +{"mode": "train", "epoch": 147, "iter": 92350, "lr": 3e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.21541, "decode.acc_seg": 72.65097, "aux.loss_seg": 0.16798, "aux.acc_seg": 67.08123, "loss": 0.38339, "time": 0.40329} +{"mode": "train", "epoch": 147, "iter": 92400, "lr": 3e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.21104, "decode.acc_seg": 73.03157, "aux.loss_seg": 0.17121, "aux.acc_seg": 66.93345, "loss": 0.38225, "time": 0.40332} +{"mode": "train", "epoch": 147, "iter": 92450, "lr": 3e-05, "memory": 22018, "data_time": 0.00743, "decode.loss_seg": 0.22346, "decode.acc_seg": 74.12918, "aux.loss_seg": 0.17561, "aux.acc_seg": 68.31094, "loss": 0.39908, "time": 0.40174} +{"mode": "train", "epoch": 147, "iter": 92500, "lr": 3e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.21955, "decode.acc_seg": 71.96153, "aux.loss_seg": 0.17508, "aux.acc_seg": 66.21722, "loss": 0.39463, "time": 0.40327} +{"mode": "train", "epoch": 147, "iter": 92550, "lr": 3e-05, "memory": 22018, "data_time": 0.00751, "decode.loss_seg": 0.21513, "decode.acc_seg": 74.21032, "aux.loss_seg": 0.16595, "aux.acc_seg": 68.72605, "loss": 0.38108, "time": 0.40087} +{"mode": "train", "epoch": 147, "iter": 92600, "lr": 3e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.22001, "decode.acc_seg": 74.04947, "aux.loss_seg": 0.17454, "aux.acc_seg": 68.30736, "loss": 0.39455, "time": 0.4017} +{"mode": "train", "epoch": 147, "iter": 92650, "lr": 3e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.22574, "decode.acc_seg": 73.94056, "aux.loss_seg": 0.17269, "aux.acc_seg": 68.41265, "loss": 0.39843, "time": 0.40216} +{"mode": "train", "epoch": 147, "iter": 92700, "lr": 3e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.2126, "decode.acc_seg": 73.13325, "aux.loss_seg": 0.16454, "aux.acc_seg": 67.72653, "loss": 0.37714, "time": 0.40221} +{"mode": "train", "epoch": 147, "iter": 92750, "lr": 3e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.21198, "decode.acc_seg": 73.18999, "aux.loss_seg": 0.16783, "aux.acc_seg": 67.49235, "loss": 0.37981, "time": 0.40158} +{"mode": "train", "epoch": 148, "iter": 92800, "lr": 3e-05, "memory": 22018, "data_time": 0.17666, "decode.loss_seg": 0.21915, "decode.acc_seg": 73.4411, "aux.loss_seg": 0.1717, "aux.acc_seg": 67.83705, "loss": 0.39085, "time": 0.57092} +{"mode": "train", "epoch": 148, "iter": 92850, "lr": 3e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.2207, "decode.acc_seg": 73.81962, "aux.loss_seg": 0.16972, "aux.acc_seg": 68.20191, "loss": 0.39042, "time": 0.40083} +{"mode": "train", "epoch": 148, "iter": 92900, "lr": 3e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.21742, "decode.acc_seg": 74.16672, "aux.loss_seg": 0.17372, "aux.acc_seg": 68.30069, "loss": 0.39115, "time": 0.40156} +{"mode": "train", "epoch": 148, "iter": 92950, "lr": 3e-05, "memory": 22018, "data_time": 0.00718, "decode.loss_seg": 0.22201, "decode.acc_seg": 73.1828, "aux.loss_seg": 0.17665, "aux.acc_seg": 67.21433, "loss": 0.39866, "time": 0.4016} +{"mode": "train", "epoch": 148, "iter": 93000, "lr": 3e-05, "memory": 22018, "data_time": 0.00725, "decode.loss_seg": 0.22387, "decode.acc_seg": 73.39922, "aux.loss_seg": 0.17772, "aux.acc_seg": 67.56286, "loss": 0.40159, "time": 0.40222} +{"mode": "train", "epoch": 148, "iter": 93050, "lr": 3e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.21529, "decode.acc_seg": 73.36732, "aux.loss_seg": 0.17297, "aux.acc_seg": 67.4891, "loss": 0.38826, "time": 0.40189} +{"mode": "train", "epoch": 148, "iter": 93100, "lr": 3e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.22016, "decode.acc_seg": 74.03166, "aux.loss_seg": 0.16929, "aux.acc_seg": 68.62792, "loss": 0.38945, "time": 0.40168} +{"mode": "train", "epoch": 148, "iter": 93150, "lr": 3e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.22133, "decode.acc_seg": 73.205, "aux.loss_seg": 0.17094, "aux.acc_seg": 67.6022, "loss": 0.39227, "time": 0.40189} +{"mode": "train", "epoch": 148, "iter": 93200, "lr": 3e-05, "memory": 22018, "data_time": 0.00712, "decode.loss_seg": 0.21967, "decode.acc_seg": 74.09613, "aux.loss_seg": 0.17533, "aux.acc_seg": 68.22661, "loss": 0.39501, "time": 0.40231} +{"mode": "train", "epoch": 148, "iter": 93250, "lr": 3e-05, "memory": 22018, "data_time": 0.00654, "decode.loss_seg": 0.21604, "decode.acc_seg": 73.75026, "aux.loss_seg": 0.17215, "aux.acc_seg": 67.96688, "loss": 0.38819, "time": 0.40102} +{"mode": "train", "epoch": 148, "iter": 93300, "lr": 3e-05, "memory": 22018, "data_time": 0.00717, "decode.loss_seg": 0.21689, "decode.acc_seg": 72.94536, "aux.loss_seg": 0.17075, "aux.acc_seg": 67.14852, "loss": 0.38764, "time": 0.40364} +{"mode": "train", "epoch": 148, "iter": 93350, "lr": 2e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.21386, "decode.acc_seg": 72.94094, "aux.loss_seg": 0.17189, "aux.acc_seg": 67.15998, "loss": 0.38576, "time": 0.4035} +{"mode": "train", "epoch": 149, "iter": 93400, "lr": 2e-05, "memory": 22018, "data_time": 0.17393, "decode.loss_seg": 0.21747, "decode.acc_seg": 73.15911, "aux.loss_seg": 0.16686, "aux.acc_seg": 67.84911, "loss": 0.38433, "time": 0.5704} +{"mode": "train", "epoch": 149, "iter": 93450, "lr": 2e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.21576, "decode.acc_seg": 74.42062, "aux.loss_seg": 0.17268, "aux.acc_seg": 68.54528, "loss": 0.38845, "time": 0.40056} +{"mode": "train", "epoch": 149, "iter": 93500, "lr": 2e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.22122, "decode.acc_seg": 73.68535, "aux.loss_seg": 0.17465, "aux.acc_seg": 67.89846, "loss": 0.39588, "time": 0.40114} +{"mode": "train", "epoch": 149, "iter": 93550, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.21777, "decode.acc_seg": 73.15073, "aux.loss_seg": 0.17298, "aux.acc_seg": 67.29509, "loss": 0.39074, "time": 0.40134} +{"mode": "train", "epoch": 149, "iter": 93600, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.21893, "decode.acc_seg": 73.31867, "aux.loss_seg": 0.17158, "aux.acc_seg": 67.71034, "loss": 0.39051, "time": 0.40312} +{"mode": "train", "epoch": 149, "iter": 93650, "lr": 2e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.20682, "decode.acc_seg": 73.61582, "aux.loss_seg": 0.16993, "aux.acc_seg": 67.65988, "loss": 0.37675, "time": 0.40108} +{"mode": "train", "epoch": 149, "iter": 93700, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.21696, "decode.acc_seg": 72.97503, "aux.loss_seg": 0.17279, "aux.acc_seg": 67.21485, "loss": 0.38975, "time": 0.40403} +{"mode": "train", "epoch": 149, "iter": 93750, "lr": 2e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.22555, "decode.acc_seg": 73.70039, "aux.loss_seg": 0.175, "aux.acc_seg": 68.04296, "loss": 0.40055, "time": 0.40374} +{"mode": "train", "epoch": 149, "iter": 93800, "lr": 2e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.22925, "decode.acc_seg": 72.62045, "aux.loss_seg": 0.18041, "aux.acc_seg": 66.72589, "loss": 0.40966, "time": 0.40232} +{"mode": "train", "epoch": 149, "iter": 93850, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20957, "decode.acc_seg": 73.42385, "aux.loss_seg": 0.16617, "aux.acc_seg": 67.77033, "loss": 0.37573, "time": 0.4034} +{"mode": "train", "epoch": 149, "iter": 93900, "lr": 2e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.21938, "decode.acc_seg": 73.96296, "aux.loss_seg": 0.17051, "aux.acc_seg": 68.41567, "loss": 0.38989, "time": 0.4034} +{"mode": "train", "epoch": 149, "iter": 93950, "lr": 2e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.22413, "decode.acc_seg": 73.3842, "aux.loss_seg": 0.18002, "aux.acc_seg": 67.2872, "loss": 0.40415, "time": 0.40243} +{"mode": "train", "epoch": 149, "iter": 94000, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.21278, "decode.acc_seg": 73.43446, "aux.loss_seg": 0.17002, "aux.acc_seg": 67.70024, "loss": 0.3828, "time": 0.40383} +{"mode": "train", "epoch": 150, "iter": 94050, "lr": 2e-05, "memory": 22018, "data_time": 0.17345, "decode.loss_seg": 0.21218, "decode.acc_seg": 73.19818, "aux.loss_seg": 0.1674, "aux.acc_seg": 67.51099, "loss": 0.37958, "time": 0.5693} +{"mode": "train", "epoch": 150, "iter": 94100, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.21535, "decode.acc_seg": 73.56916, "aux.loss_seg": 0.17159, "aux.acc_seg": 67.77024, "loss": 0.38694, "time": 0.40371} +{"mode": "train", "epoch": 150, "iter": 94150, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.21868, "decode.acc_seg": 74.29695, "aux.loss_seg": 0.17405, "aux.acc_seg": 68.3844, "loss": 0.39273, "time": 0.40315} +{"mode": "train", "epoch": 150, "iter": 94200, "lr": 2e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.20284, "decode.acc_seg": 72.26654, "aux.loss_seg": 0.16018, "aux.acc_seg": 66.92531, "loss": 0.36302, "time": 0.40299} +{"mode": "train", "epoch": 150, "iter": 94250, "lr": 2e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.2242, "decode.acc_seg": 72.54546, "aux.loss_seg": 0.17461, "aux.acc_seg": 66.9601, "loss": 0.39881, "time": 0.40285} +{"mode": "train", "epoch": 150, "iter": 94300, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.21314, "decode.acc_seg": 73.39526, "aux.loss_seg": 0.16937, "aux.acc_seg": 67.72486, "loss": 0.38251, "time": 0.40217} +{"mode": "train", "epoch": 150, "iter": 94350, "lr": 2e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.21534, "decode.acc_seg": 73.98414, "aux.loss_seg": 0.17241, "aux.acc_seg": 68.08904, "loss": 0.38775, "time": 0.40262} +{"mode": "train", "epoch": 150, "iter": 94400, "lr": 2e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.22893, "decode.acc_seg": 73.31594, "aux.loss_seg": 0.1755, "aux.acc_seg": 67.62599, "loss": 0.40444, "time": 0.40314} +{"mode": "train", "epoch": 150, "iter": 94450, "lr": 2e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.22008, "decode.acc_seg": 73.00033, "aux.loss_seg": 0.17569, "aux.acc_seg": 67.15307, "loss": 0.39576, "time": 0.40251} +{"mode": "train", "epoch": 150, "iter": 94500, "lr": 2e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.22122, "decode.acc_seg": 73.13091, "aux.loss_seg": 0.174, "aux.acc_seg": 67.49939, "loss": 0.39521, "time": 0.4015} +{"mode": "train", "epoch": 150, "iter": 94550, "lr": 2e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.22114, "decode.acc_seg": 73.39502, "aux.loss_seg": 0.1739, "aux.acc_seg": 67.73414, "loss": 0.39504, "time": 0.40266} +{"mode": "train", "epoch": 150, "iter": 94600, "lr": 2e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.21073, "decode.acc_seg": 73.21105, "aux.loss_seg": 0.1668, "aux.acc_seg": 67.66683, "loss": 0.37753, "time": 0.40221} +{"mode": "train", "epoch": 150, "iter": 94650, "lr": 2e-05, "memory": 22018, "data_time": 0.00679, "decode.loss_seg": 0.21346, "decode.acc_seg": 73.01394, "aux.loss_seg": 0.16924, "aux.acc_seg": 67.20067, "loss": 0.3827, "time": 0.4017} +{"mode": "train", "epoch": 151, "iter": 94700, "lr": 2e-05, "memory": 22018, "data_time": 0.17001, "decode.loss_seg": 0.21123, "decode.acc_seg": 72.38865, "aux.loss_seg": 0.16802, "aux.acc_seg": 66.66309, "loss": 0.37925, "time": 0.56472} +{"mode": "train", "epoch": 151, "iter": 94750, "lr": 2e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.21432, "decode.acc_seg": 74.41946, "aux.loss_seg": 0.17279, "aux.acc_seg": 68.48886, "loss": 0.38711, "time": 0.40153} +{"mode": "train", "epoch": 151, "iter": 94800, "lr": 2e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.21585, "decode.acc_seg": 73.41997, "aux.loss_seg": 0.17164, "aux.acc_seg": 67.70811, "loss": 0.38749, "time": 0.40327} +{"mode": "train", "epoch": 151, "iter": 94850, "lr": 2e-05, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.21714, "decode.acc_seg": 73.71043, "aux.loss_seg": 0.17364, "aux.acc_seg": 67.99801, "loss": 0.39078, "time": 0.40272} +{"mode": "train", "epoch": 151, "iter": 94900, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.21813, "decode.acc_seg": 73.19324, "aux.loss_seg": 0.17257, "aux.acc_seg": 67.45299, "loss": 0.3907, "time": 0.40215} +{"mode": "train", "epoch": 151, "iter": 94950, "lr": 2e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.21187, "decode.acc_seg": 72.84095, "aux.loss_seg": 0.1689, "aux.acc_seg": 67.13115, "loss": 0.38078, "time": 0.4016} +{"mode": "train", "epoch": 151, "iter": 95000, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.21161, "decode.acc_seg": 73.23109, "aux.loss_seg": 0.17183, "aux.acc_seg": 67.43402, "loss": 0.38344, "time": 0.40263} +{"mode": "train", "epoch": 151, "iter": 95050, "lr": 2e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.21497, "decode.acc_seg": 74.22178, "aux.loss_seg": 0.1669, "aux.acc_seg": 68.55379, "loss": 0.38187, "time": 0.40394} +{"mode": "train", "epoch": 151, "iter": 95100, "lr": 2e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.22276, "decode.acc_seg": 72.98842, "aux.loss_seg": 0.17245, "aux.acc_seg": 67.49626, "loss": 0.39521, "time": 0.40175} +{"mode": "train", "epoch": 151, "iter": 95150, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.22473, "decode.acc_seg": 73.79103, "aux.loss_seg": 0.17732, "aux.acc_seg": 67.85688, "loss": 0.40205, "time": 0.40081} +{"mode": "train", "epoch": 151, "iter": 95200, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.20955, "decode.acc_seg": 73.79982, "aux.loss_seg": 0.16769, "aux.acc_seg": 68.26134, "loss": 0.37724, "time": 0.40085} +{"mode": "train", "epoch": 151, "iter": 95250, "lr": 2e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.22047, "decode.acc_seg": 73.23474, "aux.loss_seg": 0.17327, "aux.acc_seg": 67.45467, "loss": 0.39374, "time": 0.40234} +{"mode": "train", "epoch": 152, "iter": 95300, "lr": 2e-05, "memory": 22018, "data_time": 0.16903, "decode.loss_seg": 0.22056, "decode.acc_seg": 73.53005, "aux.loss_seg": 0.17253, "aux.acc_seg": 67.8185, "loss": 0.39308, "time": 0.56265} +{"mode": "train", "epoch": 152, "iter": 95350, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.21199, "decode.acc_seg": 73.9805, "aux.loss_seg": 0.16658, "aux.acc_seg": 68.36681, "loss": 0.37857, "time": 0.40128} +{"mode": "train", "epoch": 152, "iter": 95400, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.2192, "decode.acc_seg": 72.81758, "aux.loss_seg": 0.17584, "aux.acc_seg": 66.92963, "loss": 0.39504, "time": 0.39984} +{"mode": "train", "epoch": 152, "iter": 95450, "lr": 2e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.21494, "decode.acc_seg": 73.71568, "aux.loss_seg": 0.16548, "aux.acc_seg": 68.2998, "loss": 0.38042, "time": 0.40084} +{"mode": "train", "epoch": 152, "iter": 95500, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.22131, "decode.acc_seg": 74.0826, "aux.loss_seg": 0.1766, "aux.acc_seg": 68.09014, "loss": 0.3979, "time": 0.40289} +{"mode": "train", "epoch": 152, "iter": 95550, "lr": 2e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.21712, "decode.acc_seg": 73.39339, "aux.loss_seg": 0.17175, "aux.acc_seg": 67.69081, "loss": 0.38887, "time": 0.40024} +{"mode": "train", "epoch": 152, "iter": 95600, "lr": 2e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.21263, "decode.acc_seg": 74.69984, "aux.loss_seg": 0.16788, "aux.acc_seg": 69.1439, "loss": 0.38051, "time": 0.40112} +{"mode": "train", "epoch": 152, "iter": 95650, "lr": 2e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.21953, "decode.acc_seg": 72.60878, "aux.loss_seg": 0.17101, "aux.acc_seg": 66.99988, "loss": 0.39053, "time": 0.40152} +{"mode": "train", "epoch": 152, "iter": 95700, "lr": 2e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.21406, "decode.acc_seg": 73.43714, "aux.loss_seg": 0.17122, "aux.acc_seg": 67.60794, "loss": 0.38528, "time": 0.40103} +{"mode": "train", "epoch": 152, "iter": 95750, "lr": 2e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.21684, "decode.acc_seg": 73.27026, "aux.loss_seg": 0.16951, "aux.acc_seg": 67.68769, "loss": 0.38636, "time": 0.40068} +{"mode": "train", "epoch": 152, "iter": 95800, "lr": 2e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.20147, "decode.acc_seg": 74.10648, "aux.loss_seg": 0.1636, "aux.acc_seg": 68.29228, "loss": 0.36507, "time": 0.40047} +{"mode": "train", "epoch": 152, "iter": 95850, "lr": 2e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.21262, "decode.acc_seg": 73.81891, "aux.loss_seg": 0.16853, "aux.acc_seg": 68.27731, "loss": 0.38116, "time": 0.39997} +{"mode": "train", "epoch": 152, "iter": 95900, "lr": 2e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.21433, "decode.acc_seg": 72.96993, "aux.loss_seg": 0.17062, "aux.acc_seg": 67.28755, "loss": 0.38496, "time": 0.40056} +{"mode": "train", "epoch": 153, "iter": 95950, "lr": 2e-05, "memory": 22018, "data_time": 0.17761, "decode.loss_seg": 0.22128, "decode.acc_seg": 74.39379, "aux.loss_seg": 0.17293, "aux.acc_seg": 68.73886, "loss": 0.39421, "time": 0.5698} +{"mode": "val", "epoch": 153, "iter": 96000, "lr": 2e-05, "mIoU": 0.4617, "mAcc": 0.5805, "aAcc": 0.8141, "IoU.wall": 0.7475, "IoU.building": 0.8059, "IoU.sky": 0.9372, "IoU.floor": 0.7996, "IoU.tree": 0.7242, "IoU.ceiling": 0.8271, "IoU.road": 0.8231, "IoU.bed ": 0.8615, "IoU.windowpane": 0.5917, "IoU.grass": 0.6663, "IoU.cabinet": 0.5839, "IoU.sidewalk": 0.6265, "IoU.person": 0.7641, "IoU.earth": 0.3534, "IoU.door": 0.4249, "IoU.table": 0.5594, "IoU.mountain": 0.5981, "IoU.plant": 0.4956, "IoU.curtain": 0.7107, "IoU.chair": 0.5227, "IoU.car": 0.8172, "IoU.water": 0.5486, "IoU.painting": 0.6962, "IoU.sofa": 0.5849, "IoU.shelf": 0.3769, "IoU.house": 0.4127, "IoU.sea": 0.5221, "IoU.mirror": 0.584, "IoU.rug": 0.6371, "IoU.field": 0.3178, "IoU.armchair": 0.3252, "IoU.seat": 0.5747, "IoU.fence": 0.3533, "IoU.desk": 0.451, "IoU.rock": 0.4384, "IoU.wardrobe": 0.5103, "IoU.lamp": 0.5602, "IoU.bathtub": 0.7354, "IoU.railing": 0.3271, "IoU.cushion": 0.5104, "IoU.base": 0.2744, "IoU.box": 0.2052, "IoU.column": 0.41, "IoU.signboard": 0.3324, "IoU.chest of drawers": 0.3754, "IoU.counter": 0.2591, "IoU.sand": 0.3202, "IoU.sink": 0.6809, "IoU.skyscraper": 0.6999, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6315, "IoU.grandstand": 0.4033, "IoU.path": 0.2513, "IoU.stairs": 0.2815, "IoU.runway": 0.6492, "IoU.case": 0.3439, "IoU.pool table": 0.9068, "IoU.pillow": 0.531, "IoU.screen door": 0.6659, "IoU.stairway": 0.3481, "IoU.river": 0.0858, "IoU.bridge": 0.5444, "IoU.bookcase": 0.4037, "IoU.blind": NaN, "IoU.coffee table": 0.5126, "IoU.toilet": 0.811, "IoU.flower": 0.369, "IoU.book": 0.4435, "IoU.hill": 0.1379, "IoU.bench": 0.3871, "IoU.countertop": 0.513, "IoU.stove": 0.6993, "IoU.palm": 0.4362, "IoU.kitchen island": 0.3504, "IoU.computer": 0.5622, "IoU.swivel chair": 0.4117, "IoU.boat": 0.5526, "IoU.bar": 0.3892, "IoU.arcade machine": 0.549, "IoU.hovel": 0.3368, "IoU.bus": 0.8647, "IoU.towel": 0.6128, "IoU.light": 0.5243, "IoU.truck": 0.3497, "IoU.tower": 0.2048, "IoU.chandelier": 0.6234, "IoU.awning": 0.3669, "IoU.streetlight": 0.1875, "IoU.booth": 0.5025, "IoU.television receiver": NaN, "IoU.airplane": 0.5394, "IoU.dirt track": 0.2593, "IoU.apparel": 0.3136, "IoU.pole": 0.1691, "IoU.land": 0.0081, "IoU.bannister": 0.1214, "IoU.escalator": 0.2664, "IoU.ottoman": 0.3395, "IoU.bottle": NaN, "IoU.buffet": 0.4301, "IoU.poster": 0.3261, "IoU.stage": 0.1322, "IoU.van": 0.4078, "IoU.ship": 0.6414, "IoU.fountain": 0.2659, "IoU.conveyer belt": 0.7345, "IoU.canopy": 0.2483, "IoU.washer": 0.7581, "IoU.plaything": 0.1856, "IoU.swimming pool": 0.737, "IoU.stool": 0.4157, "IoU.barrel": 0.3021, "IoU.basket": 0.2676, "IoU.waterfall": 0.5281, "IoU.tent": 0.9397, "IoU.bag": 0.0965, "IoU.minibike": 0.6224, "IoU.cradle": NaN, "IoU.oven": 0.4953, "IoU.ball": 0.3823, "IoU.food": 0.547, "IoU.step": 0.1609, "IoU.tank": 0.4776, "IoU.trade name": 0.2592, "IoU.microwave": 0.6666, "IoU.pot": 0.4726, "IoU.animal": NaN, "IoU.bicycle": 0.4893, "IoU.lake": 0.4349, "IoU.dishwasher": 0.4738, "IoU.screen": 0.5858, "IoU.blanket": 0.0857, "IoU.sculpture": 0.5881, "IoU.hood": 0.5361, "IoU.sconce": 0.4114, "IoU.vase": 0.3003, "IoU.traffic light": 0.2515, "IoU.tray": 0.0597, "IoU.ashcan": 0.3263, "IoU.fan": 0.5195, "IoU.pier": 0.6323, "IoU.crt screen": 0.0594, "IoU.plate": 0.5378, "IoU.monitor": 0.0908, "IoU.bulletin board": 0.2976, "IoU.shower": 0.0242, "IoU.radiator": 0.442, "IoU.glass": 0.1078, "IoU.clock": 0.4006, "IoU.flag": 0.3062, "Acc.wall": 0.8702, "Acc.building": 0.9039, "Acc.sky": 0.9697, "Acc.floor": 0.8968, "Acc.tree": 0.8705, "Acc.ceiling": 0.9046, "Acc.road": 0.8949, "Acc.bed ": 0.9471, "Acc.windowpane": 0.7663, "Acc.grass": 0.7968, "Acc.cabinet": 0.7233, "Acc.sidewalk": 0.7818, "Acc.person": 0.9085, "Acc.earth": 0.5244, "Acc.door": 0.5691, "Acc.table": 0.7148, "Acc.mountain": 0.7863, "Acc.plant": 0.6197, "Acc.curtain": 0.8459, "Acc.chair": 0.6775, "Acc.car": 0.9059, "Acc.water": 0.6995, "Acc.painting": 0.8476, "Acc.sofa": 0.7904, "Acc.shelf": 0.5136, "Acc.house": 0.6302, "Acc.sea": 0.6885, "Acc.mirror": 0.6812, "Acc.rug": 0.7188, "Acc.field": 0.4411, "Acc.armchair": 0.4588, "Acc.seat": 0.7791, "Acc.fence": 0.4757, "Acc.desk": 0.6491, "Acc.rock": 0.7034, "Acc.wardrobe": 0.6777, "Acc.lamp": 0.7037, "Acc.bathtub": 0.8199, "Acc.railing": 0.4792, "Acc.cushion": 0.6633, "Acc.base": 0.4065, "Acc.box": 0.2706, "Acc.column": 0.6287, "Acc.signboard": 0.4469, "Acc.chest of drawers": 0.5427, "Acc.counter": 0.2989, "Acc.sand": 0.5091, "Acc.sink": 0.7957, "Acc.skyscraper": 0.8751, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8128, "Acc.grandstand": 0.5857, "Acc.path": 0.3446, "Acc.stairs": 0.3515, "Acc.runway": 0.8376, "Acc.case": 0.4369, "Acc.pool table": 0.9596, "Acc.pillow": 0.6349, "Acc.screen door": 0.7549, "Acc.stairway": 0.4651, "Acc.river": 0.197, "Acc.bridge": 0.6469, "Acc.bookcase": 0.4867, "Acc.blind": NaN, "Acc.coffee table": 0.7908, "Acc.toilet": 0.8761, "Acc.flower": 0.4947, "Acc.book": 0.6673, "Acc.hill": 0.1585, "Acc.bench": 0.4422, "Acc.countertop": 0.6667, "Acc.stove": 0.8083, "Acc.palm": 0.6796, "Acc.kitchen island": 0.6346, "Acc.computer": 0.6671, "Acc.swivel chair": 0.5489, "Acc.boat": 0.6759, "Acc.bar": 0.5228, "Acc.arcade machine": 0.5745, "Acc.hovel": 0.3707, "Acc.bus": 0.926, "Acc.towel": 0.7294, "Acc.light": 0.5957, "Acc.truck": 0.4766, "Acc.tower": 0.3227, "Acc.chandelier": 0.7665, "Acc.awning": 0.4729, "Acc.streetlight": 0.2443, "Acc.booth": 0.6403, "Acc.television receiver": NaN, "Acc.airplane": 0.6562, "Acc.dirt track": 0.466, "Acc.apparel": 0.4626, "Acc.pole": 0.2561, "Acc.land": 0.0095, "Acc.bannister": 0.1641, "Acc.escalator": 0.3361, "Acc.ottoman": 0.515, "Acc.bottle": NaN, "Acc.buffet": 0.4976, "Acc.poster": 0.4386, "Acc.stage": 0.1938, "Acc.van": 0.5189, "Acc.ship": 0.9217, "Acc.fountain": 0.279, "Acc.conveyer belt": 0.8578, "Acc.canopy": 0.3135, "Acc.washer": 0.7904, "Acc.plaything": 0.2669, "Acc.swimming pool": 0.8184, "Acc.stool": 0.4975, "Acc.barrel": 0.6162, "Acc.basket": 0.4345, "Acc.waterfall": 0.6088, "Acc.tent": 0.9836, "Acc.bag": 0.1252, "Acc.minibike": 0.7738, "Acc.cradle": NaN, "Acc.oven": 0.6092, "Acc.ball": 0.4457, "Acc.food": 0.6526, "Acc.step": 0.1944, "Acc.tank": 0.5654, "Acc.trade name": 0.3361, "Acc.microwave": 0.7108, "Acc.pot": 0.5642, "Acc.animal": NaN, "Acc.bicycle": 0.6976, "Acc.lake": 0.5169, "Acc.dishwasher": 0.6001, "Acc.screen": 0.7777, "Acc.blanket": 0.095, "Acc.sculpture": 0.719, "Acc.hood": 0.5884, "Acc.sconce": 0.51, "Acc.vase": 0.4788, "Acc.traffic light": 0.3569, "Acc.tray": 0.1077, "Acc.ashcan": 0.4017, "Acc.fan": 0.6765, "Acc.pier": 0.8632, "Acc.crt screen": 0.1637, "Acc.plate": 0.7081, "Acc.monitor": 0.1038, "Acc.bulletin board": 0.4827, "Acc.shower": 0.0417, "Acc.radiator": 0.5174, "Acc.glass": 0.1149, "Acc.clock": 0.46, "Acc.flag": 0.3952} +{"mode": "train", "epoch": 153, "iter": 96050, "lr": 2e-05, "memory": 22018, "data_time": 1.41302, "decode.loss_seg": 0.20642, "decode.acc_seg": 74.28808, "aux.loss_seg": 0.1683, "aux.acc_seg": 68.38655, "loss": 0.37472, "time": 1.80637} +{"mode": "train", "epoch": 153, "iter": 96100, "lr": 2e-05, "memory": 22018, "data_time": 0.00596, "decode.loss_seg": 0.21576, "decode.acc_seg": 74.41459, "aux.loss_seg": 0.17471, "aux.acc_seg": 68.36009, "loss": 0.39047, "time": 0.39867} +{"mode": "train", "epoch": 153, "iter": 96150, "lr": 2e-05, "memory": 22018, "data_time": 0.00594, "decode.loss_seg": 0.21254, "decode.acc_seg": 74.3198, "aux.loss_seg": 0.17111, "aux.acc_seg": 68.67674, "loss": 0.38366, "time": 0.399} +{"mode": "train", "epoch": 153, "iter": 96200, "lr": 2e-05, "memory": 22018, "data_time": 0.00601, "decode.loss_seg": 0.21243, "decode.acc_seg": 72.98973, "aux.loss_seg": 0.17009, "aux.acc_seg": 67.29257, "loss": 0.38252, "time": 0.39933} +{"mode": "train", "epoch": 153, "iter": 96250, "lr": 2e-05, "memory": 22018, "data_time": 0.00583, "decode.loss_seg": 0.22114, "decode.acc_seg": 73.9439, "aux.loss_seg": 0.17258, "aux.acc_seg": 68.22744, "loss": 0.39371, "time": 0.39896} +{"mode": "train", "epoch": 153, "iter": 96300, "lr": 2e-05, "memory": 22018, "data_time": 0.00572, "decode.loss_seg": 0.21185, "decode.acc_seg": 73.90926, "aux.loss_seg": 0.16766, "aux.acc_seg": 68.11373, "loss": 0.37952, "time": 0.3987} +{"mode": "train", "epoch": 153, "iter": 96350, "lr": 2e-05, "memory": 22018, "data_time": 0.0057, "decode.loss_seg": 0.21856, "decode.acc_seg": 74.02256, "aux.loss_seg": 0.17435, "aux.acc_seg": 68.1754, "loss": 0.39291, "time": 0.39923} +{"mode": "train", "epoch": 153, "iter": 96400, "lr": 2e-05, "memory": 22018, "data_time": 0.00653, "decode.loss_seg": 0.21895, "decode.acc_seg": 74.56293, "aux.loss_seg": 0.17882, "aux.acc_seg": 68.11932, "loss": 0.39777, "time": 0.39944} +{"mode": "train", "epoch": 153, "iter": 96450, "lr": 2e-05, "memory": 22018, "data_time": 0.00657, "decode.loss_seg": 0.21314, "decode.acc_seg": 73.43813, "aux.loss_seg": 0.16962, "aux.acc_seg": 67.7527, "loss": 0.38277, "time": 0.39972} +{"mode": "train", "epoch": 153, "iter": 96500, "lr": 2e-05, "memory": 22018, "data_time": 0.00646, "decode.loss_seg": 0.2163, "decode.acc_seg": 73.64778, "aux.loss_seg": 0.17196, "aux.acc_seg": 68.05729, "loss": 0.38826, "time": 0.39907} +{"mode": "train", "epoch": 154, "iter": 96550, "lr": 2e-05, "memory": 22018, "data_time": 0.17485, "decode.loss_seg": 0.21007, "decode.acc_seg": 74.5875, "aux.loss_seg": 0.16867, "aux.acc_seg": 68.7561, "loss": 0.37874, "time": 0.56801} +{"mode": "train", "epoch": 154, "iter": 96600, "lr": 2e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.21629, "decode.acc_seg": 73.29761, "aux.loss_seg": 0.17557, "aux.acc_seg": 67.24045, "loss": 0.39186, "time": 0.40144} +{"mode": "train", "epoch": 154, "iter": 96650, "lr": 2e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.20997, "decode.acc_seg": 74.59304, "aux.loss_seg": 0.16898, "aux.acc_seg": 68.73644, "loss": 0.37895, "time": 0.40401} +{"mode": "train", "epoch": 154, "iter": 96700, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.21441, "decode.acc_seg": 73.43929, "aux.loss_seg": 0.17314, "aux.acc_seg": 67.46549, "loss": 0.38755, "time": 0.40288} +{"mode": "train", "epoch": 154, "iter": 96750, "lr": 2e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.20629, "decode.acc_seg": 73.77536, "aux.loss_seg": 0.16315, "aux.acc_seg": 68.25855, "loss": 0.36944, "time": 0.40255} +{"mode": "train", "epoch": 154, "iter": 96800, "lr": 2e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.21057, "decode.acc_seg": 72.56552, "aux.loss_seg": 0.16713, "aux.acc_seg": 67.02325, "loss": 0.3777, "time": 0.40257} +{"mode": "train", "epoch": 154, "iter": 96850, "lr": 2e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.20922, "decode.acc_seg": 72.68517, "aux.loss_seg": 0.165, "aux.acc_seg": 67.50066, "loss": 0.37422, "time": 0.40465} +{"mode": "train", "epoch": 154, "iter": 96900, "lr": 2e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.21146, "decode.acc_seg": 73.99668, "aux.loss_seg": 0.17253, "aux.acc_seg": 67.88321, "loss": 0.38399, "time": 0.40729} +{"mode": "train", "epoch": 154, "iter": 96950, "lr": 2e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.21032, "decode.acc_seg": 75.50384, "aux.loss_seg": 0.17232, "aux.acc_seg": 69.55131, "loss": 0.38264, "time": 0.40295} +{"mode": "train", "epoch": 154, "iter": 97000, "lr": 2e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.20796, "decode.acc_seg": 74.69619, "aux.loss_seg": 0.16519, "aux.acc_seg": 68.95756, "loss": 0.37315, "time": 0.4042} +{"mode": "train", "epoch": 154, "iter": 97050, "lr": 2e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.21535, "decode.acc_seg": 73.09114, "aux.loss_seg": 0.16174, "aux.acc_seg": 67.89135, "loss": 0.37709, "time": 0.40554} +{"mode": "train", "epoch": 154, "iter": 97100, "lr": 2e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.22197, "decode.acc_seg": 73.17762, "aux.loss_seg": 0.17315, "aux.acc_seg": 67.59076, "loss": 0.39512, "time": 0.40337} +{"mode": "train", "epoch": 154, "iter": 97150, "lr": 2e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.22765, "decode.acc_seg": 73.65372, "aux.loss_seg": 0.18166, "aux.acc_seg": 67.66884, "loss": 0.40931, "time": 0.40311} +{"mode": "train", "epoch": 155, "iter": 97200, "lr": 2e-05, "memory": 22018, "data_time": 0.17359, "decode.loss_seg": 0.21019, "decode.acc_seg": 73.73147, "aux.loss_seg": 0.16893, "aux.acc_seg": 67.94016, "loss": 0.37912, "time": 0.56879} +{"mode": "train", "epoch": 155, "iter": 97250, "lr": 2e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.21828, "decode.acc_seg": 74.73154, "aux.loss_seg": 0.17245, "aux.acc_seg": 68.99568, "loss": 0.39072, "time": 0.40275} +{"mode": "train", "epoch": 155, "iter": 97300, "lr": 2e-05, "memory": 22018, "data_time": 0.00985, "decode.loss_seg": 0.20758, "decode.acc_seg": 72.84005, "aux.loss_seg": 0.16717, "aux.acc_seg": 67.05141, "loss": 0.37475, "time": 0.40353} +{"mode": "train", "epoch": 155, "iter": 97350, "lr": 2e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.20871, "decode.acc_seg": 72.70404, "aux.loss_seg": 0.16806, "aux.acc_seg": 67.00893, "loss": 0.37677, "time": 0.40334} +{"mode": "train", "epoch": 155, "iter": 97400, "lr": 2e-05, "memory": 22018, "data_time": 0.00992, "decode.loss_seg": 0.21042, "decode.acc_seg": 74.49166, "aux.loss_seg": 0.16453, "aux.acc_seg": 69.01527, "loss": 0.37495, "time": 0.40182} +{"mode": "train", "epoch": 155, "iter": 97450, "lr": 2e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.21387, "decode.acc_seg": 74.71734, "aux.loss_seg": 0.17067, "aux.acc_seg": 68.78099, "loss": 0.38454, "time": 0.40386} +{"mode": "train", "epoch": 155, "iter": 97500, "lr": 2e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.21959, "decode.acc_seg": 74.17834, "aux.loss_seg": 0.17158, "aux.acc_seg": 68.61143, "loss": 0.39117, "time": 0.40258} +{"mode": "train", "epoch": 155, "iter": 97550, "lr": 2e-05, "memory": 22018, "data_time": 0.0095, "decode.loss_seg": 0.22013, "decode.acc_seg": 74.61479, "aux.loss_seg": 0.17305, "aux.acc_seg": 68.82117, "loss": 0.39318, "time": 0.40302} +{"mode": "train", "epoch": 155, "iter": 97600, "lr": 2e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.21713, "decode.acc_seg": 73.39533, "aux.loss_seg": 0.17815, "aux.acc_seg": 67.20164, "loss": 0.39528, "time": 0.40265} +{"mode": "train", "epoch": 155, "iter": 97650, "lr": 2e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.21623, "decode.acc_seg": 73.24536, "aux.loss_seg": 0.17215, "aux.acc_seg": 67.36529, "loss": 0.38838, "time": 0.40273} +{"mode": "train", "epoch": 155, "iter": 97700, "lr": 2e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.20922, "decode.acc_seg": 73.38798, "aux.loss_seg": 0.16538, "aux.acc_seg": 67.91576, "loss": 0.3746, "time": 0.40265} +{"mode": "train", "epoch": 155, "iter": 97750, "lr": 2e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.21538, "decode.acc_seg": 74.61406, "aux.loss_seg": 0.16765, "aux.acc_seg": 68.94777, "loss": 0.38303, "time": 0.40305} +{"mode": "train", "epoch": 155, "iter": 97800, "lr": 2e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.21758, "decode.acc_seg": 73.01678, "aux.loss_seg": 0.17019, "aux.acc_seg": 67.38041, "loss": 0.38777, "time": 0.40354} +{"mode": "train", "epoch": 156, "iter": 97850, "lr": 2e-05, "memory": 22018, "data_time": 0.17431, "decode.loss_seg": 0.20314, "decode.acc_seg": 73.90958, "aux.loss_seg": 0.16341, "aux.acc_seg": 68.20767, "loss": 0.36655, "time": 0.56792} +{"mode": "train", "epoch": 156, "iter": 97900, "lr": 2e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.21769, "decode.acc_seg": 73.92884, "aux.loss_seg": 0.17309, "aux.acc_seg": 68.24351, "loss": 0.39078, "time": 0.40159} +{"mode": "train", "epoch": 156, "iter": 97950, "lr": 2e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.20465, "decode.acc_seg": 73.42984, "aux.loss_seg": 0.16719, "aux.acc_seg": 67.639, "loss": 0.37184, "time": 0.40216} +{"mode": "train", "epoch": 156, "iter": 98000, "lr": 2e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.22019, "decode.acc_seg": 74.87916, "aux.loss_seg": 0.17502, "aux.acc_seg": 68.85061, "loss": 0.3952, "time": 0.40066} +{"mode": "train", "epoch": 156, "iter": 98050, "lr": 2e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.20459, "decode.acc_seg": 73.2275, "aux.loss_seg": 0.16264, "aux.acc_seg": 67.81498, "loss": 0.36722, "time": 0.40036} +{"mode": "train", "epoch": 156, "iter": 98100, "lr": 2e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.21074, "decode.acc_seg": 73.27397, "aux.loss_seg": 0.16791, "aux.acc_seg": 67.46141, "loss": 0.37865, "time": 0.40017} +{"mode": "train", "epoch": 156, "iter": 98150, "lr": 2e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.21481, "decode.acc_seg": 73.93743, "aux.loss_seg": 0.17548, "aux.acc_seg": 67.70608, "loss": 0.39029, "time": 0.40064} +{"mode": "train", "epoch": 156, "iter": 98200, "lr": 2e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.20518, "decode.acc_seg": 73.99213, "aux.loss_seg": 0.16068, "aux.acc_seg": 68.78607, "loss": 0.36586, "time": 0.40029} +{"mode": "train", "epoch": 156, "iter": 98250, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.21269, "decode.acc_seg": 73.6144, "aux.loss_seg": 0.16865, "aux.acc_seg": 68.00107, "loss": 0.38134, "time": 0.40066} +{"mode": "train", "epoch": 156, "iter": 98300, "lr": 2e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.20864, "decode.acc_seg": 73.42216, "aux.loss_seg": 0.1673, "aux.acc_seg": 67.74453, "loss": 0.37594, "time": 0.40129} +{"mode": "train", "epoch": 156, "iter": 98350, "lr": 2e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.21009, "decode.acc_seg": 74.93826, "aux.loss_seg": 0.17056, "aux.acc_seg": 69.14171, "loss": 0.38065, "time": 0.40003} +{"mode": "train", "epoch": 156, "iter": 98400, "lr": 2e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.22794, "decode.acc_seg": 73.79431, "aux.loss_seg": 0.17534, "aux.acc_seg": 68.09824, "loss": 0.40328, "time": 0.4018} +{"mode": "train", "epoch": 157, "iter": 98450, "lr": 2e-05, "memory": 22018, "data_time": 0.17329, "decode.loss_seg": 0.21609, "decode.acc_seg": 73.37311, "aux.loss_seg": 0.17016, "aux.acc_seg": 67.76698, "loss": 0.38625, "time": 0.56745} +{"mode": "train", "epoch": 157, "iter": 98500, "lr": 2e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.22303, "decode.acc_seg": 73.43874, "aux.loss_seg": 0.17447, "aux.acc_seg": 67.54133, "loss": 0.39749, "time": 0.4012} +{"mode": "train", "epoch": 157, "iter": 98550, "lr": 2e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.20181, "decode.acc_seg": 73.32358, "aux.loss_seg": 0.16001, "aux.acc_seg": 67.93066, "loss": 0.36182, "time": 0.40213} +{"mode": "train", "epoch": 157, "iter": 98600, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.205, "decode.acc_seg": 73.16466, "aux.loss_seg": 0.1698, "aux.acc_seg": 67.23148, "loss": 0.3748, "time": 0.40288} +{"mode": "train", "epoch": 157, "iter": 98650, "lr": 2e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.2089, "decode.acc_seg": 74.60108, "aux.loss_seg": 0.16451, "aux.acc_seg": 69.20812, "loss": 0.37342, "time": 0.40312} +{"mode": "train", "epoch": 157, "iter": 98700, "lr": 2e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.20927, "decode.acc_seg": 72.92805, "aux.loss_seg": 0.16659, "aux.acc_seg": 67.45546, "loss": 0.37586, "time": 0.40223} +{"mode": "train", "epoch": 157, "iter": 98750, "lr": 2e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.20924, "decode.acc_seg": 73.06538, "aux.loss_seg": 0.16605, "aux.acc_seg": 67.4933, "loss": 0.37529, "time": 0.40403} +{"mode": "train", "epoch": 157, "iter": 98800, "lr": 2e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.20366, "decode.acc_seg": 72.84318, "aux.loss_seg": 0.16848, "aux.acc_seg": 66.99255, "loss": 0.37214, "time": 0.40324} +{"mode": "train", "epoch": 157, "iter": 98850, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.21297, "decode.acc_seg": 74.99493, "aux.loss_seg": 0.17216, "aux.acc_seg": 69.06027, "loss": 0.38513, "time": 0.40194} +{"mode": "train", "epoch": 157, "iter": 98900, "lr": 2e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.22159, "decode.acc_seg": 74.12307, "aux.loss_seg": 0.17586, "aux.acc_seg": 68.1802, "loss": 0.39746, "time": 0.40271} +{"mode": "train", "epoch": 157, "iter": 98950, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.20604, "decode.acc_seg": 73.33172, "aux.loss_seg": 0.16666, "aux.acc_seg": 67.56248, "loss": 0.3727, "time": 0.40187} +{"mode": "train", "epoch": 157, "iter": 99000, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.21081, "decode.acc_seg": 74.3774, "aux.loss_seg": 0.16606, "aux.acc_seg": 68.78737, "loss": 0.37687, "time": 0.40419} +{"mode": "train", "epoch": 157, "iter": 99050, "lr": 2e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.21161, "decode.acc_seg": 74.04935, "aux.loss_seg": 0.17327, "aux.acc_seg": 68.01396, "loss": 0.38488, "time": 0.40182} +{"mode": "train", "epoch": 158, "iter": 99100, "lr": 2e-05, "memory": 22018, "data_time": 0.16633, "decode.loss_seg": 0.21325, "decode.acc_seg": 74.52153, "aux.loss_seg": 0.17026, "aux.acc_seg": 68.69006, "loss": 0.38351, "time": 0.55832} +{"mode": "train", "epoch": 158, "iter": 99150, "lr": 2e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.20599, "decode.acc_seg": 74.14028, "aux.loss_seg": 0.16937, "aux.acc_seg": 68.22518, "loss": 0.37536, "time": 0.40058} +{"mode": "train", "epoch": 158, "iter": 99200, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.20582, "decode.acc_seg": 73.86567, "aux.loss_seg": 0.16286, "aux.acc_seg": 68.34306, "loss": 0.36868, "time": 0.4034} +{"mode": "train", "epoch": 158, "iter": 99250, "lr": 2e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.21474, "decode.acc_seg": 74.43451, "aux.loss_seg": 0.17349, "aux.acc_seg": 68.43319, "loss": 0.38823, "time": 0.40177} +{"mode": "train", "epoch": 158, "iter": 99300, "lr": 2e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.20986, "decode.acc_seg": 73.31904, "aux.loss_seg": 0.16429, "aux.acc_seg": 67.79211, "loss": 0.37415, "time": 0.40189} +{"mode": "train", "epoch": 158, "iter": 99350, "lr": 2e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.20678, "decode.acc_seg": 73.90265, "aux.loss_seg": 0.16489, "aux.acc_seg": 68.17612, "loss": 0.37167, "time": 0.40223} +{"mode": "train", "epoch": 158, "iter": 99400, "lr": 2e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.216, "decode.acc_seg": 73.3991, "aux.loss_seg": 0.17359, "aux.acc_seg": 67.47238, "loss": 0.38959, "time": 0.40222} +{"mode": "train", "epoch": 158, "iter": 99450, "lr": 2e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.2146, "decode.acc_seg": 73.91462, "aux.loss_seg": 0.16909, "aux.acc_seg": 68.20918, "loss": 0.38369, "time": 0.40351} +{"mode": "train", "epoch": 158, "iter": 99500, "lr": 2e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.21053, "decode.acc_seg": 73.72262, "aux.loss_seg": 0.16651, "aux.acc_seg": 68.04872, "loss": 0.37703, "time": 0.40129} +{"mode": "train", "epoch": 158, "iter": 99550, "lr": 2e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.20194, "decode.acc_seg": 74.62666, "aux.loss_seg": 0.16523, "aux.acc_seg": 68.85335, "loss": 0.36716, "time": 0.40098} +{"mode": "train", "epoch": 158, "iter": 99600, "lr": 2e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.21418, "decode.acc_seg": 74.13333, "aux.loss_seg": 0.1687, "aux.acc_seg": 68.56752, "loss": 0.38288, "time": 0.40072} +{"mode": "train", "epoch": 158, "iter": 99650, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.21668, "decode.acc_seg": 73.68406, "aux.loss_seg": 0.1758, "aux.acc_seg": 67.65234, "loss": 0.39248, "time": 0.40247} +{"mode": "train", "epoch": 159, "iter": 99700, "lr": 2e-05, "memory": 22018, "data_time": 0.17851, "decode.loss_seg": 0.21232, "decode.acc_seg": 73.77288, "aux.loss_seg": 0.164, "aux.acc_seg": 68.34099, "loss": 0.37632, "time": 0.5716} +{"mode": "train", "epoch": 159, "iter": 99750, "lr": 2e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.20322, "decode.acc_seg": 74.88895, "aux.loss_seg": 0.16177, "aux.acc_seg": 69.43515, "loss": 0.36499, "time": 0.40069} +{"mode": "train", "epoch": 159, "iter": 99800, "lr": 2e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.21796, "decode.acc_seg": 73.91238, "aux.loss_seg": 0.1722, "aux.acc_seg": 68.18629, "loss": 0.39016, "time": 0.40162} +{"mode": "train", "epoch": 159, "iter": 99850, "lr": 2e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.20782, "decode.acc_seg": 73.56585, "aux.loss_seg": 0.16773, "aux.acc_seg": 67.82384, "loss": 0.37555, "time": 0.39971} +{"mode": "train", "epoch": 159, "iter": 99900, "lr": 2e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.20976, "decode.acc_seg": 73.46063, "aux.loss_seg": 0.16651, "aux.acc_seg": 67.89742, "loss": 0.37627, "time": 0.40113} +{"mode": "train", "epoch": 159, "iter": 99950, "lr": 2e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.20565, "decode.acc_seg": 73.60201, "aux.loss_seg": 0.16383, "aux.acc_seg": 67.96938, "loss": 0.36947, "time": 0.39877} +{"mode": "train", "epoch": 159, "iter": 100000, "lr": 2e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.21081, "decode.acc_seg": 74.60111, "aux.loss_seg": 0.16785, "aux.acc_seg": 68.85464, "loss": 0.37866, "time": 0.40046} +{"mode": "train", "epoch": 159, "iter": 100050, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.2084, "decode.acc_seg": 73.05344, "aux.loss_seg": 0.16976, "aux.acc_seg": 67.08793, "loss": 0.37816, "time": 0.39927} +{"mode": "train", "epoch": 159, "iter": 100100, "lr": 2e-05, "memory": 22018, "data_time": 0.00696, "decode.loss_seg": 0.21206, "decode.acc_seg": 73.30224, "aux.loss_seg": 0.16504, "aux.acc_seg": 67.93083, "loss": 0.3771, "time": 0.39917} +{"mode": "train", "epoch": 159, "iter": 100150, "lr": 2e-05, "memory": 22018, "data_time": 0.00717, "decode.loss_seg": 0.20697, "decode.acc_seg": 74.18059, "aux.loss_seg": 0.16846, "aux.acc_seg": 68.31221, "loss": 0.37543, "time": 0.39951} +{"mode": "train", "epoch": 159, "iter": 100200, "lr": 2e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.2106, "decode.acc_seg": 73.73842, "aux.loss_seg": 0.16908, "aux.acc_seg": 68.01392, "loss": 0.37968, "time": 0.40038} +{"mode": "train", "epoch": 159, "iter": 100250, "lr": 2e-05, "memory": 22018, "data_time": 0.00751, "decode.loss_seg": 0.21266, "decode.acc_seg": 74.23234, "aux.loss_seg": 0.16579, "aux.acc_seg": 68.72675, "loss": 0.37845, "time": 0.4014} +{"mode": "train", "epoch": 159, "iter": 100300, "lr": 2e-05, "memory": 22018, "data_time": 0.00724, "decode.loss_seg": 0.21603, "decode.acc_seg": 73.94218, "aux.loss_seg": 0.1699, "aux.acc_seg": 68.26274, "loss": 0.38593, "time": 0.40059} +{"mode": "train", "epoch": 160, "iter": 100350, "lr": 2e-05, "memory": 22018, "data_time": 0.17315, "decode.loss_seg": 0.19732, "decode.acc_seg": 73.78518, "aux.loss_seg": 0.16288, "aux.acc_seg": 68.15945, "loss": 0.36019, "time": 0.56547} +{"mode": "train", "epoch": 160, "iter": 100400, "lr": 2e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.20748, "decode.acc_seg": 73.69887, "aux.loss_seg": 0.16543, "aux.acc_seg": 68.07432, "loss": 0.37291, "time": 0.40088} +{"mode": "train", "epoch": 160, "iter": 100450, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.20601, "decode.acc_seg": 73.71821, "aux.loss_seg": 0.16571, "aux.acc_seg": 68.09701, "loss": 0.37172, "time": 0.40171} +{"mode": "train", "epoch": 160, "iter": 100500, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.20935, "decode.acc_seg": 74.59898, "aux.loss_seg": 0.16936, "aux.acc_seg": 68.64012, "loss": 0.37871, "time": 0.40137} +{"mode": "train", "epoch": 160, "iter": 100550, "lr": 2e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.21655, "decode.acc_seg": 73.5903, "aux.loss_seg": 0.17456, "aux.acc_seg": 67.73564, "loss": 0.39111, "time": 0.40257} +{"mode": "train", "epoch": 160, "iter": 100600, "lr": 2e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.20848, "decode.acc_seg": 73.62275, "aux.loss_seg": 0.16653, "aux.acc_seg": 68.00297, "loss": 0.37502, "time": 0.40063} +{"mode": "train", "epoch": 160, "iter": 100650, "lr": 2e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.21454, "decode.acc_seg": 74.10876, "aux.loss_seg": 0.17991, "aux.acc_seg": 67.75467, "loss": 0.39445, "time": 0.40202} +{"mode": "train", "epoch": 160, "iter": 100700, "lr": 2e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.21316, "decode.acc_seg": 74.50218, "aux.loss_seg": 0.16607, "aux.acc_seg": 69.02332, "loss": 0.37923, "time": 0.40511} +{"mode": "train", "epoch": 160, "iter": 100750, "lr": 2e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.19894, "decode.acc_seg": 74.6498, "aux.loss_seg": 0.16457, "aux.acc_seg": 68.76796, "loss": 0.36351, "time": 0.4008} +{"mode": "train", "epoch": 160, "iter": 100800, "lr": 2e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.2076, "decode.acc_seg": 73.10633, "aux.loss_seg": 0.16436, "aux.acc_seg": 67.76529, "loss": 0.37196, "time": 0.40581} +{"mode": "train", "epoch": 160, "iter": 100850, "lr": 2e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.20851, "decode.acc_seg": 74.07291, "aux.loss_seg": 0.16539, "aux.acc_seg": 68.47736, "loss": 0.3739, "time": 0.40376} +{"mode": "train", "epoch": 160, "iter": 100900, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.21035, "decode.acc_seg": 75.00309, "aux.loss_seg": 0.16907, "aux.acc_seg": 69.31899, "loss": 0.37941, "time": 0.40367} +{"mode": "train", "epoch": 160, "iter": 100950, "lr": 2e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.20312, "decode.acc_seg": 74.47473, "aux.loss_seg": 0.16271, "aux.acc_seg": 69.06908, "loss": 0.36583, "time": 0.40455} +{"mode": "train", "epoch": 161, "iter": 101000, "lr": 2e-05, "memory": 22018, "data_time": 0.17722, "decode.loss_seg": 0.21001, "decode.acc_seg": 73.60296, "aux.loss_seg": 0.16921, "aux.acc_seg": 67.76831, "loss": 0.37922, "time": 0.57414} +{"mode": "train", "epoch": 161, "iter": 101050, "lr": 2e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.20669, "decode.acc_seg": 73.35487, "aux.loss_seg": 0.16358, "aux.acc_seg": 67.93743, "loss": 0.37027, "time": 0.40357} +{"mode": "train", "epoch": 161, "iter": 101100, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.20851, "decode.acc_seg": 74.19297, "aux.loss_seg": 0.16663, "aux.acc_seg": 68.53161, "loss": 0.37514, "time": 0.40403} +{"mode": "train", "epoch": 161, "iter": 101150, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.20709, "decode.acc_seg": 73.00905, "aux.loss_seg": 0.16669, "aux.acc_seg": 67.37895, "loss": 0.37378, "time": 0.40537} +{"mode": "train", "epoch": 161, "iter": 101200, "lr": 2e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.20262, "decode.acc_seg": 74.72652, "aux.loss_seg": 0.16685, "aux.acc_seg": 68.92537, "loss": 0.36947, "time": 0.40343} +{"mode": "train", "epoch": 161, "iter": 101250, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.21161, "decode.acc_seg": 73.28961, "aux.loss_seg": 0.17112, "aux.acc_seg": 67.40436, "loss": 0.38273, "time": 0.40319} +{"mode": "train", "epoch": 161, "iter": 101300, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19518, "decode.acc_seg": 73.61202, "aux.loss_seg": 0.15875, "aux.acc_seg": 68.06947, "loss": 0.35394, "time": 0.40287} +{"mode": "train", "epoch": 161, "iter": 101350, "lr": 2e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.21062, "decode.acc_seg": 74.40291, "aux.loss_seg": 0.16955, "aux.acc_seg": 68.72515, "loss": 0.38017, "time": 0.4038} +{"mode": "train", "epoch": 161, "iter": 101400, "lr": 2e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.2055, "decode.acc_seg": 73.61003, "aux.loss_seg": 0.16773, "aux.acc_seg": 67.68475, "loss": 0.37323, "time": 0.40353} +{"mode": "train", "epoch": 161, "iter": 101450, "lr": 2e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.20669, "decode.acc_seg": 74.9773, "aux.loss_seg": 0.16744, "aux.acc_seg": 69.3419, "loss": 0.37413, "time": 0.40364} +{"mode": "train", "epoch": 161, "iter": 101500, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.21459, "decode.acc_seg": 74.83219, "aux.loss_seg": 0.17104, "aux.acc_seg": 68.87116, "loss": 0.38563, "time": 0.40297} +{"mode": "train", "epoch": 161, "iter": 101550, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.21414, "decode.acc_seg": 73.50343, "aux.loss_seg": 0.17234, "aux.acc_seg": 67.70017, "loss": 0.38648, "time": 0.40142} +{"mode": "train", "epoch": 162, "iter": 101600, "lr": 2e-05, "memory": 22018, "data_time": 0.19791, "decode.loss_seg": 0.20586, "decode.acc_seg": 73.58972, "aux.loss_seg": 0.16331, "aux.acc_seg": 68.0621, "loss": 0.36916, "time": 0.59463} +{"mode": "train", "epoch": 162, "iter": 101650, "lr": 2e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.20557, "decode.acc_seg": 73.76795, "aux.loss_seg": 0.16306, "aux.acc_seg": 68.22738, "loss": 0.36864, "time": 0.40292} +{"mode": "train", "epoch": 162, "iter": 101700, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.20849, "decode.acc_seg": 73.18203, "aux.loss_seg": 0.16831, "aux.acc_seg": 67.36365, "loss": 0.3768, "time": 0.40317} +{"mode": "train", "epoch": 162, "iter": 101750, "lr": 2e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.20446, "decode.acc_seg": 74.02923, "aux.loss_seg": 0.16271, "aux.acc_seg": 68.5813, "loss": 0.36718, "time": 0.40339} +{"mode": "train", "epoch": 162, "iter": 101800, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.20838, "decode.acc_seg": 74.36242, "aux.loss_seg": 0.16537, "aux.acc_seg": 68.84322, "loss": 0.37375, "time": 0.40391} +{"mode": "train", "epoch": 162, "iter": 101850, "lr": 2e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.21163, "decode.acc_seg": 73.74321, "aux.loss_seg": 0.17102, "aux.acc_seg": 68.01897, "loss": 0.38265, "time": 0.40259} +{"mode": "train", "epoch": 162, "iter": 101900, "lr": 2e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.2029, "decode.acc_seg": 74.19271, "aux.loss_seg": 0.16183, "aux.acc_seg": 68.5632, "loss": 0.36473, "time": 0.40319} +{"mode": "train", "epoch": 162, "iter": 101950, "lr": 2e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.22108, "decode.acc_seg": 73.96647, "aux.loss_seg": 0.17344, "aux.acc_seg": 68.29612, "loss": 0.39452, "time": 0.40396} +{"mode": "train", "epoch": 162, "iter": 102000, "lr": 2e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.21118, "decode.acc_seg": 73.67598, "aux.loss_seg": 0.17123, "aux.acc_seg": 67.85202, "loss": 0.38241, "time": 0.40216} +{"mode": "train", "epoch": 162, "iter": 102050, "lr": 2e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.21343, "decode.acc_seg": 74.41936, "aux.loss_seg": 0.16597, "aux.acc_seg": 68.89088, "loss": 0.3794, "time": 0.40149} +{"mode": "train", "epoch": 162, "iter": 102100, "lr": 2e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.20868, "decode.acc_seg": 73.36876, "aux.loss_seg": 0.17263, "aux.acc_seg": 67.35204, "loss": 0.38132, "time": 0.40221} +{"mode": "train", "epoch": 162, "iter": 102150, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.20284, "decode.acc_seg": 75.27011, "aux.loss_seg": 0.16615, "aux.acc_seg": 69.42108, "loss": 0.36899, "time": 0.4027} +{"mode": "train", "epoch": 162, "iter": 102200, "lr": 2e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.21096, "decode.acc_seg": 73.61681, "aux.loss_seg": 0.16863, "aux.acc_seg": 67.98538, "loss": 0.37959, "time": 0.40372} +{"mode": "train", "epoch": 163, "iter": 102250, "lr": 2e-05, "memory": 22018, "data_time": 0.16783, "decode.loss_seg": 0.20966, "decode.acc_seg": 73.88001, "aux.loss_seg": 0.16733, "aux.acc_seg": 68.32059, "loss": 0.37699, "time": 0.56012} +{"mode": "train", "epoch": 163, "iter": 102300, "lr": 2e-05, "memory": 22018, "data_time": 0.00728, "decode.loss_seg": 0.20945, "decode.acc_seg": 74.12686, "aux.loss_seg": 0.16711, "aux.acc_seg": 68.59854, "loss": 0.37656, "time": 0.39916} +{"mode": "train", "epoch": 163, "iter": 102350, "lr": 2e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.20307, "decode.acc_seg": 72.8655, "aux.loss_seg": 0.16489, "aux.acc_seg": 67.13433, "loss": 0.36796, "time": 0.40122} +{"mode": "train", "epoch": 163, "iter": 102400, "lr": 2e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.20313, "decode.acc_seg": 73.5308, "aux.loss_seg": 0.16355, "aux.acc_seg": 67.8872, "loss": 0.36668, "time": 0.40091} +{"mode": "train", "epoch": 163, "iter": 102450, "lr": 2e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.20424, "decode.acc_seg": 75.16058, "aux.loss_seg": 0.16698, "aux.acc_seg": 69.31907, "loss": 0.37122, "time": 0.39964} +{"mode": "train", "epoch": 163, "iter": 102500, "lr": 2e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.20524, "decode.acc_seg": 74.17896, "aux.loss_seg": 0.16909, "aux.acc_seg": 68.06864, "loss": 0.37433, "time": 0.39971} +{"mode": "train", "epoch": 163, "iter": 102550, "lr": 2e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.20533, "decode.acc_seg": 73.91633, "aux.loss_seg": 0.16994, "aux.acc_seg": 67.97494, "loss": 0.37526, "time": 0.40058} +{"mode": "train", "epoch": 163, "iter": 102600, "lr": 2e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.206, "decode.acc_seg": 74.08945, "aux.loss_seg": 0.16529, "aux.acc_seg": 68.49149, "loss": 0.37129, "time": 0.39964} +{"mode": "train", "epoch": 163, "iter": 102650, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.20992, "decode.acc_seg": 74.27232, "aux.loss_seg": 0.16271, "aux.acc_seg": 68.91459, "loss": 0.37263, "time": 0.39985} +{"mode": "train", "epoch": 163, "iter": 102700, "lr": 2e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.21014, "decode.acc_seg": 74.82986, "aux.loss_seg": 0.1682, "aux.acc_seg": 69.0923, "loss": 0.37834, "time": 0.40022} +{"mode": "train", "epoch": 163, "iter": 102750, "lr": 2e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.2102, "decode.acc_seg": 73.08086, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.16609, "loss": 0.38206, "time": 0.39973} +{"mode": "train", "epoch": 163, "iter": 102800, "lr": 2e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.19917, "decode.acc_seg": 74.33088, "aux.loss_seg": 0.16065, "aux.acc_seg": 68.81344, "loss": 0.35982, "time": 0.40005} +{"mode": "train", "epoch": 163, "iter": 102850, "lr": 2e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.20364, "decode.acc_seg": 74.42481, "aux.loss_seg": 0.16285, "aux.acc_seg": 68.98499, "loss": 0.36649, "time": 0.39981} +{"mode": "train", "epoch": 164, "iter": 102900, "lr": 2e-05, "memory": 22018, "data_time": 0.16975, "decode.loss_seg": 0.20616, "decode.acc_seg": 73.23178, "aux.loss_seg": 0.16807, "aux.acc_seg": 67.39034, "loss": 0.37423, "time": 0.56412} +{"mode": "train", "epoch": 164, "iter": 102950, "lr": 2e-05, "memory": 22018, "data_time": 0.007, "decode.loss_seg": 0.20163, "decode.acc_seg": 73.6875, "aux.loss_seg": 0.16926, "aux.acc_seg": 67.63112, "loss": 0.37089, "time": 0.39994} +{"mode": "train", "epoch": 164, "iter": 103000, "lr": 2e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.20522, "decode.acc_seg": 74.17526, "aux.loss_seg": 0.16566, "aux.acc_seg": 68.46153, "loss": 0.37088, "time": 0.39994} +{"mode": "train", "epoch": 164, "iter": 103050, "lr": 2e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.20447, "decode.acc_seg": 73.7887, "aux.loss_seg": 0.16242, "aux.acc_seg": 68.23428, "loss": 0.36689, "time": 0.40083} +{"mode": "train", "epoch": 164, "iter": 103100, "lr": 2e-05, "memory": 22018, "data_time": 0.00798, "decode.loss_seg": 0.20951, "decode.acc_seg": 73.54025, "aux.loss_seg": 0.16654, "aux.acc_seg": 67.94518, "loss": 0.37605, "time": 0.40085} +{"mode": "train", "epoch": 164, "iter": 103150, "lr": 2e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.21052, "decode.acc_seg": 74.30653, "aux.loss_seg": 0.17057, "aux.acc_seg": 68.40041, "loss": 0.38109, "time": 0.4007} +{"mode": "train", "epoch": 164, "iter": 103200, "lr": 2e-05, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.20259, "decode.acc_seg": 73.54404, "aux.loss_seg": 0.16346, "aux.acc_seg": 67.88919, "loss": 0.36605, "time": 0.40118} +{"mode": "train", "epoch": 164, "iter": 103250, "lr": 2e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.21034, "decode.acc_seg": 74.00037, "aux.loss_seg": 0.16434, "aux.acc_seg": 68.63083, "loss": 0.37468, "time": 0.40044} +{"mode": "train", "epoch": 164, "iter": 103300, "lr": 2e-05, "memory": 22018, "data_time": 0.00716, "decode.loss_seg": 0.21128, "decode.acc_seg": 74.55033, "aux.loss_seg": 0.17082, "aux.acc_seg": 68.56621, "loss": 0.3821, "time": 0.40081} +{"mode": "train", "epoch": 164, "iter": 103350, "lr": 2e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.2178, "decode.acc_seg": 73.4169, "aux.loss_seg": 0.17129, "aux.acc_seg": 67.79009, "loss": 0.38909, "time": 0.40057} +{"mode": "train", "epoch": 164, "iter": 103400, "lr": 2e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.204, "decode.acc_seg": 74.33683, "aux.loss_seg": 0.16374, "aux.acc_seg": 68.58237, "loss": 0.36774, "time": 0.40015} +{"mode": "train", "epoch": 164, "iter": 103450, "lr": 2e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.21184, "decode.acc_seg": 74.55812, "aux.loss_seg": 0.17164, "aux.acc_seg": 68.80645, "loss": 0.38347, "time": 0.39974} +{"mode": "train", "epoch": 165, "iter": 103500, "lr": 2e-05, "memory": 22018, "data_time": 0.17472, "decode.loss_seg": 0.20647, "decode.acc_seg": 73.54073, "aux.loss_seg": 0.16704, "aux.acc_seg": 67.79227, "loss": 0.37351, "time": 0.56756} +{"mode": "train", "epoch": 165, "iter": 103550, "lr": 2e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.19886, "decode.acc_seg": 73.72729, "aux.loss_seg": 0.16051, "aux.acc_seg": 68.39385, "loss": 0.35937, "time": 0.40003} +{"mode": "train", "epoch": 165, "iter": 103600, "lr": 2e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.2043, "decode.acc_seg": 74.76115, "aux.loss_seg": 0.16617, "aux.acc_seg": 68.92298, "loss": 0.37047, "time": 0.39932} +{"mode": "train", "epoch": 165, "iter": 103650, "lr": 2e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.20529, "decode.acc_seg": 73.29769, "aux.loss_seg": 0.16716, "aux.acc_seg": 67.56837, "loss": 0.37245, "time": 0.40025} +{"mode": "train", "epoch": 165, "iter": 103700, "lr": 2e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.20698, "decode.acc_seg": 74.11628, "aux.loss_seg": 0.16943, "aux.acc_seg": 68.15648, "loss": 0.37641, "time": 0.40331} +{"mode": "train", "epoch": 165, "iter": 103750, "lr": 2e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.20488, "decode.acc_seg": 73.56172, "aux.loss_seg": 0.16046, "aux.acc_seg": 68.12418, "loss": 0.36535, "time": 0.39991} +{"mode": "train", "epoch": 165, "iter": 103800, "lr": 2e-05, "memory": 22018, "data_time": 0.00679, "decode.loss_seg": 0.20447, "decode.acc_seg": 74.50515, "aux.loss_seg": 0.16773, "aux.acc_seg": 68.70157, "loss": 0.3722, "time": 0.39923} +{"mode": "train", "epoch": 165, "iter": 103850, "lr": 2e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.21036, "decode.acc_seg": 74.69882, "aux.loss_seg": 0.17102, "aux.acc_seg": 68.80973, "loss": 0.38138, "time": 0.40033} +{"mode": "train", "epoch": 165, "iter": 103900, "lr": 2e-05, "memory": 22018, "data_time": 0.00683, "decode.loss_seg": 0.20433, "decode.acc_seg": 73.53263, "aux.loss_seg": 0.16652, "aux.acc_seg": 67.8279, "loss": 0.37085, "time": 0.39954} +{"mode": "train", "epoch": 165, "iter": 103950, "lr": 2e-05, "memory": 22018, "data_time": 0.00684, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.08393, "aux.loss_seg": 0.16739, "aux.acc_seg": 67.40809, "loss": 0.37405, "time": 0.39889} +{"mode": "train", "epoch": 165, "iter": 104000, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.20237, "decode.acc_seg": 73.8904, "aux.loss_seg": 0.1628, "aux.acc_seg": 68.2958, "loss": 0.36517, "time": 0.40014} +{"mode": "train", "epoch": 165, "iter": 104050, "lr": 2e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.20597, "decode.acc_seg": 74.62073, "aux.loss_seg": 0.16271, "aux.acc_seg": 69.30812, "loss": 0.36868, "time": 0.39942} +{"mode": "train", "epoch": 165, "iter": 104100, "lr": 2e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.20591, "decode.acc_seg": 73.21022, "aux.loss_seg": 0.16963, "aux.acc_seg": 67.39, "loss": 0.37554, "time": 0.40017} +{"mode": "train", "epoch": 166, "iter": 104150, "lr": 2e-05, "memory": 22018, "data_time": 0.18452, "decode.loss_seg": 0.20713, "decode.acc_seg": 74.38485, "aux.loss_seg": 0.16966, "aux.acc_seg": 68.59347, "loss": 0.37679, "time": 0.57846} +{"mode": "train", "epoch": 166, "iter": 104200, "lr": 2e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.20866, "decode.acc_seg": 74.04668, "aux.loss_seg": 0.16763, "aux.acc_seg": 68.37129, "loss": 0.37629, "time": 0.40065} +{"mode": "train", "epoch": 166, "iter": 104250, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20714, "decode.acc_seg": 74.19784, "aux.loss_seg": 0.16549, "aux.acc_seg": 68.59308, "loss": 0.37263, "time": 0.40185} +{"mode": "train", "epoch": 166, "iter": 104300, "lr": 2e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.20323, "decode.acc_seg": 74.06587, "aux.loss_seg": 0.16384, "aux.acc_seg": 68.5183, "loss": 0.36707, "time": 0.4023} +{"mode": "train", "epoch": 166, "iter": 104350, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.20639, "decode.acc_seg": 73.78145, "aux.loss_seg": 0.1652, "aux.acc_seg": 68.06137, "loss": 0.37159, "time": 0.40296} +{"mode": "train", "epoch": 166, "iter": 104400, "lr": 2e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.20385, "decode.acc_seg": 74.34463, "aux.loss_seg": 0.16721, "aux.acc_seg": 68.49259, "loss": 0.37106, "time": 0.4021} +{"mode": "train", "epoch": 166, "iter": 104450, "lr": 2e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.20181, "decode.acc_seg": 74.50424, "aux.loss_seg": 0.16308, "aux.acc_seg": 68.82484, "loss": 0.36488, "time": 0.40255} +{"mode": "train", "epoch": 166, "iter": 104500, "lr": 2e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.20558, "decode.acc_seg": 73.85345, "aux.loss_seg": 0.16849, "aux.acc_seg": 67.88177, "loss": 0.37407, "time": 0.40044} +{"mode": "train", "epoch": 166, "iter": 104550, "lr": 2e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.19958, "decode.acc_seg": 74.21526, "aux.loss_seg": 0.15948, "aux.acc_seg": 68.81869, "loss": 0.35906, "time": 0.40089} +{"mode": "train", "epoch": 166, "iter": 104600, "lr": 2e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.20404, "decode.acc_seg": 74.3727, "aux.loss_seg": 0.16525, "aux.acc_seg": 68.59266, "loss": 0.36929, "time": 0.40003} +{"mode": "train", "epoch": 166, "iter": 104650, "lr": 2e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.20496, "decode.acc_seg": 73.94845, "aux.loss_seg": 0.16814, "aux.acc_seg": 68.12967, "loss": 0.37309, "time": 0.40081} +{"mode": "train", "epoch": 166, "iter": 104700, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.20955, "decode.acc_seg": 74.87393, "aux.loss_seg": 0.17221, "aux.acc_seg": 68.94085, "loss": 0.38176, "time": 0.4019} +{"mode": "train", "epoch": 167, "iter": 104750, "lr": 2e-05, "memory": 22018, "data_time": 0.16767, "decode.loss_seg": 0.20231, "decode.acc_seg": 73.94152, "aux.loss_seg": 0.16257, "aux.acc_seg": 68.48348, "loss": 0.36488, "time": 0.56052} +{"mode": "train", "epoch": 167, "iter": 104800, "lr": 2e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.19961, "decode.acc_seg": 73.87178, "aux.loss_seg": 0.1604, "aux.acc_seg": 68.46179, "loss": 0.36002, "time": 0.40016} +{"mode": "train", "epoch": 167, "iter": 104850, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.20092, "decode.acc_seg": 74.3238, "aux.loss_seg": 0.16332, "aux.acc_seg": 68.69819, "loss": 0.36424, "time": 0.40253} +{"mode": "train", "epoch": 167, "iter": 104900, "lr": 2e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.20071, "decode.acc_seg": 74.11687, "aux.loss_seg": 0.1626, "aux.acc_seg": 68.55646, "loss": 0.36331, "time": 0.40217} +{"mode": "train", "epoch": 167, "iter": 104950, "lr": 2e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.20847, "decode.acc_seg": 74.07267, "aux.loss_seg": 0.16475, "aux.acc_seg": 68.42163, "loss": 0.37322, "time": 0.40243} +{"mode": "train", "epoch": 167, "iter": 105000, "lr": 2e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.19986, "decode.acc_seg": 73.8031, "aux.loss_seg": 0.16061, "aux.acc_seg": 68.16043, "loss": 0.36047, "time": 0.40363} +{"mode": "train", "epoch": 167, "iter": 105050, "lr": 2e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.20809, "decode.acc_seg": 74.02122, "aux.loss_seg": 0.16401, "aux.acc_seg": 68.66135, "loss": 0.3721, "time": 0.40299} +{"mode": "train", "epoch": 167, "iter": 105100, "lr": 2e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.20054, "decode.acc_seg": 74.18533, "aux.loss_seg": 0.16234, "aux.acc_seg": 68.57893, "loss": 0.36288, "time": 0.40274} +{"mode": "train", "epoch": 167, "iter": 105150, "lr": 2e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.201, "decode.acc_seg": 73.98574, "aux.loss_seg": 0.16377, "aux.acc_seg": 68.40679, "loss": 0.36477, "time": 0.40336} +{"mode": "train", "epoch": 167, "iter": 105200, "lr": 2e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.20943, "decode.acc_seg": 72.8964, "aux.loss_seg": 0.16748, "aux.acc_seg": 67.27553, "loss": 0.37691, "time": 0.4032} +{"mode": "train", "epoch": 167, "iter": 105250, "lr": 2e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.20487, "decode.acc_seg": 73.27368, "aux.loss_seg": 0.16706, "aux.acc_seg": 67.4906, "loss": 0.37193, "time": 0.40251} +{"mode": "train", "epoch": 167, "iter": 105300, "lr": 2e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.20574, "decode.acc_seg": 74.53666, "aux.loss_seg": 0.16448, "aux.acc_seg": 68.99719, "loss": 0.37022, "time": 0.40259} +{"mode": "train", "epoch": 167, "iter": 105350, "lr": 2e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.20478, "decode.acc_seg": 73.19844, "aux.loss_seg": 0.16562, "aux.acc_seg": 67.42063, "loss": 0.3704, "time": 0.40079} +{"mode": "train", "epoch": 168, "iter": 105400, "lr": 2e-05, "memory": 22018, "data_time": 0.16937, "decode.loss_seg": 0.20204, "decode.acc_seg": 74.05389, "aux.loss_seg": 0.16587, "aux.acc_seg": 68.34497, "loss": 0.36792, "time": 0.56351} +{"mode": "train", "epoch": 168, "iter": 105450, "lr": 2e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.20443, "decode.acc_seg": 73.89938, "aux.loss_seg": 0.16755, "aux.acc_seg": 68.17935, "loss": 0.37198, "time": 0.40321} +{"mode": "train", "epoch": 168, "iter": 105500, "lr": 2e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.20948, "decode.acc_seg": 73.34749, "aux.loss_seg": 0.16635, "aux.acc_seg": 67.87825, "loss": 0.37582, "time": 0.40262} +{"mode": "train", "epoch": 168, "iter": 105550, "lr": 2e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.20142, "decode.acc_seg": 74.43167, "aux.loss_seg": 0.16256, "aux.acc_seg": 68.78677, "loss": 0.36398, "time": 0.40235} +{"mode": "train", "epoch": 168, "iter": 105600, "lr": 2e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.2094, "decode.acc_seg": 73.3373, "aux.loss_seg": 0.16448, "aux.acc_seg": 67.81553, "loss": 0.37388, "time": 0.40316} +{"mode": "train", "epoch": 168, "iter": 105650, "lr": 2e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.20922, "decode.acc_seg": 74.43361, "aux.loss_seg": 0.16621, "aux.acc_seg": 68.88361, "loss": 0.37543, "time": 0.4029} +{"mode": "train", "epoch": 168, "iter": 105700, "lr": 2e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.20257, "decode.acc_seg": 73.59402, "aux.loss_seg": 0.16135, "aux.acc_seg": 68.02938, "loss": 0.36392, "time": 0.40643} +{"mode": "train", "epoch": 168, "iter": 105750, "lr": 2e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.20615, "decode.acc_seg": 73.78365, "aux.loss_seg": 0.16333, "aux.acc_seg": 68.16533, "loss": 0.36949, "time": 0.40406} +{"mode": "train", "epoch": 168, "iter": 105800, "lr": 2e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.20201, "decode.acc_seg": 74.17062, "aux.loss_seg": 0.1663, "aux.acc_seg": 68.2523, "loss": 0.36831, "time": 0.40511} +{"mode": "train", "epoch": 168, "iter": 105850, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.20162, "decode.acc_seg": 73.82057, "aux.loss_seg": 0.16772, "aux.acc_seg": 67.78468, "loss": 0.36934, "time": 0.40455} +{"mode": "train", "epoch": 168, "iter": 105900, "lr": 2e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.19811, "decode.acc_seg": 73.47272, "aux.loss_seg": 0.16165, "aux.acc_seg": 67.89739, "loss": 0.35976, "time": 0.4059} +{"mode": "train", "epoch": 168, "iter": 105950, "lr": 2e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.20621, "decode.acc_seg": 74.92578, "aux.loss_seg": 0.16891, "aux.acc_seg": 69.14329, "loss": 0.37512, "time": 0.40445} +{"mode": "train", "epoch": 168, "iter": 106000, "lr": 2e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.20285, "decode.acc_seg": 73.78649, "aux.loss_seg": 0.1623, "aux.acc_seg": 68.11602, "loss": 0.36514, "time": 0.40487} +{"mode": "train", "epoch": 169, "iter": 106050, "lr": 2e-05, "memory": 22018, "data_time": 0.17175, "decode.loss_seg": 0.20641, "decode.acc_seg": 74.47029, "aux.loss_seg": 0.16156, "aux.acc_seg": 69.26281, "loss": 0.36797, "time": 0.56408} +{"mode": "train", "epoch": 169, "iter": 106100, "lr": 2e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.20637, "decode.acc_seg": 73.66485, "aux.loss_seg": 0.16408, "aux.acc_seg": 68.06553, "loss": 0.37044, "time": 0.40026} +{"mode": "train", "epoch": 169, "iter": 106150, "lr": 2e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.19953, "decode.acc_seg": 75.26302, "aux.loss_seg": 0.16472, "aux.acc_seg": 69.60728, "loss": 0.36425, "time": 0.40112} +{"mode": "train", "epoch": 169, "iter": 106200, "lr": 2e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.20397, "decode.acc_seg": 72.88501, "aux.loss_seg": 0.16426, "aux.acc_seg": 67.36532, "loss": 0.36824, "time": 0.40218} +{"mode": "train", "epoch": 169, "iter": 106250, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.20362, "decode.acc_seg": 72.92739, "aux.loss_seg": 0.1682, "aux.acc_seg": 67.04912, "loss": 0.37182, "time": 0.40119} +{"mode": "train", "epoch": 169, "iter": 106300, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.2056, "decode.acc_seg": 74.60646, "aux.loss_seg": 0.16648, "aux.acc_seg": 68.90449, "loss": 0.37208, "time": 0.4021} +{"mode": "train", "epoch": 169, "iter": 106350, "lr": 2e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.20566, "decode.acc_seg": 74.76677, "aux.loss_seg": 0.1675, "aux.acc_seg": 68.86649, "loss": 0.37316, "time": 0.40093} +{"mode": "train", "epoch": 169, "iter": 106400, "lr": 2e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.20586, "decode.acc_seg": 74.63231, "aux.loss_seg": 0.16427, "aux.acc_seg": 69.07803, "loss": 0.37014, "time": 0.40193} +{"mode": "train", "epoch": 169, "iter": 106450, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.20669, "decode.acc_seg": 73.85651, "aux.loss_seg": 0.16488, "aux.acc_seg": 68.20888, "loss": 0.37157, "time": 0.4014} +{"mode": "train", "epoch": 169, "iter": 106500, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.20226, "decode.acc_seg": 75.13346, "aux.loss_seg": 0.16164, "aux.acc_seg": 69.64814, "loss": 0.3639, "time": 0.40134} +{"mode": "train", "epoch": 169, "iter": 106550, "lr": 2e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.20649, "decode.acc_seg": 73.66665, "aux.loss_seg": 0.16593, "aux.acc_seg": 68.03127, "loss": 0.37242, "time": 0.40191} +{"mode": "train", "epoch": 169, "iter": 106600, "lr": 2e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.19857, "decode.acc_seg": 74.40926, "aux.loss_seg": 0.15912, "aux.acc_seg": 68.89685, "loss": 0.35769, "time": 0.40171} +{"mode": "train", "epoch": 170, "iter": 106650, "lr": 2e-05, "memory": 22018, "data_time": 0.17283, "decode.loss_seg": 0.19859, "decode.acc_seg": 73.65451, "aux.loss_seg": 0.16543, "aux.acc_seg": 67.93166, "loss": 0.36403, "time": 0.56677} +{"mode": "train", "epoch": 170, "iter": 106700, "lr": 2e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.20052, "decode.acc_seg": 73.36972, "aux.loss_seg": 0.1622, "aux.acc_seg": 67.87242, "loss": 0.36272, "time": 0.40218} +{"mode": "train", "epoch": 170, "iter": 106750, "lr": 2e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.19735, "decode.acc_seg": 73.70185, "aux.loss_seg": 0.16183, "aux.acc_seg": 68.0571, "loss": 0.35918, "time": 0.40451} +{"mode": "train", "epoch": 170, "iter": 106800, "lr": 2e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.19886, "decode.acc_seg": 72.57551, "aux.loss_seg": 0.15523, "aux.acc_seg": 67.48256, "loss": 0.3541, "time": 0.4041} +{"mode": "train", "epoch": 170, "iter": 106850, "lr": 2e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.20299, "decode.acc_seg": 74.48409, "aux.loss_seg": 0.1633, "aux.acc_seg": 68.97958, "loss": 0.36629, "time": 0.40382} +{"mode": "train", "epoch": 170, "iter": 106900, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20143, "decode.acc_seg": 74.66445, "aux.loss_seg": 0.1663, "aux.acc_seg": 68.75273, "loss": 0.36774, "time": 0.40456} +{"mode": "train", "epoch": 170, "iter": 106950, "lr": 2e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.20526, "decode.acc_seg": 74.32054, "aux.loss_seg": 0.16362, "aux.acc_seg": 68.81026, "loss": 0.36888, "time": 0.40276} +{"mode": "train", "epoch": 170, "iter": 107000, "lr": 2e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.20007, "decode.acc_seg": 73.6008, "aux.loss_seg": 0.16331, "aux.acc_seg": 67.92552, "loss": 0.36338, "time": 0.40301} +{"mode": "train", "epoch": 170, "iter": 107050, "lr": 2e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.20369, "decode.acc_seg": 73.86511, "aux.loss_seg": 0.16544, "aux.acc_seg": 68.25351, "loss": 0.36914, "time": 0.40169} +{"mode": "train", "epoch": 170, "iter": 107100, "lr": 2e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.20121, "decode.acc_seg": 72.9773, "aux.loss_seg": 0.16252, "aux.acc_seg": 67.42173, "loss": 0.36373, "time": 0.40208} +{"mode": "train", "epoch": 170, "iter": 107150, "lr": 2e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.20572, "decode.acc_seg": 73.61943, "aux.loss_seg": 0.16344, "aux.acc_seg": 68.22455, "loss": 0.36916, "time": 0.40334} +{"mode": "train", "epoch": 170, "iter": 107200, "lr": 2e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.21934, "decode.acc_seg": 73.39424, "aux.loss_seg": 0.17571, "aux.acc_seg": 67.64943, "loss": 0.39505, "time": 0.40297} +{"mode": "train", "epoch": 170, "iter": 107250, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.20142, "decode.acc_seg": 73.39414, "aux.loss_seg": 0.1601, "aux.acc_seg": 67.86479, "loss": 0.36152, "time": 0.40319} +{"mode": "train", "epoch": 171, "iter": 107300, "lr": 2e-05, "memory": 22018, "data_time": 0.16858, "decode.loss_seg": 0.20655, "decode.acc_seg": 74.37476, "aux.loss_seg": 0.16607, "aux.acc_seg": 68.82579, "loss": 0.37262, "time": 0.56339} +{"mode": "train", "epoch": 171, "iter": 107350, "lr": 2e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.20269, "decode.acc_seg": 74.17835, "aux.loss_seg": 0.16569, "aux.acc_seg": 68.40675, "loss": 0.36838, "time": 0.40029} +{"mode": "train", "epoch": 171, "iter": 107400, "lr": 2e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.19829, "decode.acc_seg": 74.57767, "aux.loss_seg": 0.16324, "aux.acc_seg": 68.91657, "loss": 0.36153, "time": 0.39893} +{"mode": "train", "epoch": 171, "iter": 107450, "lr": 2e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.20009, "decode.acc_seg": 72.69574, "aux.loss_seg": 0.16322, "aux.acc_seg": 66.99326, "loss": 0.36331, "time": 0.40074} +{"mode": "train", "epoch": 171, "iter": 107500, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.19822, "decode.acc_seg": 74.64553, "aux.loss_seg": 0.15919, "aux.acc_seg": 69.08918, "loss": 0.35741, "time": 0.40025} +{"mode": "train", "epoch": 171, "iter": 107550, "lr": 2e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.20275, "decode.acc_seg": 74.56966, "aux.loss_seg": 0.16186, "aux.acc_seg": 69.08392, "loss": 0.36461, "time": 0.40109} +{"mode": "train", "epoch": 171, "iter": 107600, "lr": 2e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.19893, "decode.acc_seg": 73.26065, "aux.loss_seg": 0.15874, "aux.acc_seg": 67.91993, "loss": 0.35766, "time": 0.40152} +{"mode": "train", "epoch": 171, "iter": 107650, "lr": 2e-05, "memory": 22018, "data_time": 0.00716, "decode.loss_seg": 0.1991, "decode.acc_seg": 74.16419, "aux.loss_seg": 0.16216, "aux.acc_seg": 68.64914, "loss": 0.36125, "time": 0.40076} +{"mode": "train", "epoch": 171, "iter": 107700, "lr": 2e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.20765, "decode.acc_seg": 74.15441, "aux.loss_seg": 0.1696, "aux.acc_seg": 68.42676, "loss": 0.37726, "time": 0.40117} +{"mode": "train", "epoch": 171, "iter": 107750, "lr": 2e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.20455, "decode.acc_seg": 73.48563, "aux.loss_seg": 0.1687, "aux.acc_seg": 67.5971, "loss": 0.37324, "time": 0.40105} +{"mode": "train", "epoch": 171, "iter": 107800, "lr": 2e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.21381, "decode.acc_seg": 74.35607, "aux.loss_seg": 0.16917, "aux.acc_seg": 68.84661, "loss": 0.38298, "time": 0.40064} +{"mode": "train", "epoch": 171, "iter": 107850, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.20012, "decode.acc_seg": 74.25012, "aux.loss_seg": 0.16564, "aux.acc_seg": 68.56749, "loss": 0.36575, "time": 0.39954} +{"mode": "train", "epoch": 171, "iter": 107900, "lr": 2e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.19773, "decode.acc_seg": 74.09731, "aux.loss_seg": 0.16065, "aux.acc_seg": 68.49949, "loss": 0.35838, "time": 0.40003} +{"mode": "train", "epoch": 172, "iter": 107950, "lr": 2e-05, "memory": 22018, "data_time": 0.17104, "decode.loss_seg": 0.19843, "decode.acc_seg": 74.117, "aux.loss_seg": 0.16042, "aux.acc_seg": 68.65394, "loss": 0.35885, "time": 0.56469} +{"mode": "train", "epoch": 172, "iter": 108000, "lr": 2e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.20505, "decode.acc_seg": 74.0612, "aux.loss_seg": 0.16526, "aux.acc_seg": 68.46806, "loss": 0.37032, "time": 0.40192} +{"mode": "train", "epoch": 172, "iter": 108050, "lr": 2e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.19864, "decode.acc_seg": 74.00626, "aux.loss_seg": 0.16073, "aux.acc_seg": 68.47218, "loss": 0.35937, "time": 0.40449} +{"mode": "train", "epoch": 172, "iter": 108100, "lr": 2e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.19697, "decode.acc_seg": 74.76447, "aux.loss_seg": 0.15928, "aux.acc_seg": 69.29438, "loss": 0.35625, "time": 0.40392} +{"mode": "train", "epoch": 172, "iter": 108150, "lr": 2e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19696, "decode.acc_seg": 74.14142, "aux.loss_seg": 0.16372, "aux.acc_seg": 68.37635, "loss": 0.36068, "time": 0.4026} +{"mode": "train", "epoch": 172, "iter": 108200, "lr": 2e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.20876, "decode.acc_seg": 73.27322, "aux.loss_seg": 0.16686, "aux.acc_seg": 67.53364, "loss": 0.37561, "time": 0.40372} +{"mode": "train", "epoch": 172, "iter": 108250, "lr": 2e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.20373, "decode.acc_seg": 74.90163, "aux.loss_seg": 0.16545, "aux.acc_seg": 69.15932, "loss": 0.36919, "time": 0.40219} +{"mode": "train", "epoch": 172, "iter": 108300, "lr": 2e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.20045, "decode.acc_seg": 73.79022, "aux.loss_seg": 0.1645, "aux.acc_seg": 67.9112, "loss": 0.36495, "time": 0.4032} +{"mode": "train", "epoch": 172, "iter": 108350, "lr": 2e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.19711, "decode.acc_seg": 73.80951, "aux.loss_seg": 0.1591, "aux.acc_seg": 68.34965, "loss": 0.35621, "time": 0.40353} +{"mode": "train", "epoch": 172, "iter": 108400, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.20421, "decode.acc_seg": 74.71452, "aux.loss_seg": 0.16902, "aux.acc_seg": 68.54951, "loss": 0.37323, "time": 0.40208} +{"mode": "train", "epoch": 172, "iter": 108450, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.20202, "decode.acc_seg": 74.67505, "aux.loss_seg": 0.16547, "aux.acc_seg": 68.9072, "loss": 0.36749, "time": 0.40226} +{"mode": "train", "epoch": 172, "iter": 108500, "lr": 2e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.2022, "decode.acc_seg": 73.63449, "aux.loss_seg": 0.1662, "aux.acc_seg": 67.93424, "loss": 0.36841, "time": 0.40223} +{"mode": "train", "epoch": 173, "iter": 108550, "lr": 2e-05, "memory": 22018, "data_time": 0.17533, "decode.loss_seg": 0.20181, "decode.acc_seg": 74.00152, "aux.loss_seg": 0.16066, "aux.acc_seg": 68.58506, "loss": 0.36248, "time": 0.56941} +{"mode": "train", "epoch": 173, "iter": 108600, "lr": 2e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.19962, "decode.acc_seg": 74.61156, "aux.loss_seg": 0.16231, "aux.acc_seg": 69.03052, "loss": 0.36193, "time": 0.40089} +{"mode": "train", "epoch": 173, "iter": 108650, "lr": 2e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.20045, "decode.acc_seg": 75.15123, "aux.loss_seg": 0.16481, "aux.acc_seg": 69.16967, "loss": 0.36526, "time": 0.40087} +{"mode": "train", "epoch": 173, "iter": 108700, "lr": 2e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.2117, "decode.acc_seg": 74.38967, "aux.loss_seg": 0.17049, "aux.acc_seg": 68.43325, "loss": 0.38219, "time": 0.40227} +{"mode": "train", "epoch": 173, "iter": 108750, "lr": 2e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.20492, "decode.acc_seg": 75.02498, "aux.loss_seg": 0.16301, "aux.acc_seg": 69.6025, "loss": 0.36793, "time": 0.40189} +{"mode": "train", "epoch": 173, "iter": 108800, "lr": 2e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.19451, "decode.acc_seg": 74.02616, "aux.loss_seg": 0.15717, "aux.acc_seg": 68.56518, "loss": 0.35168, "time": 0.40253} +{"mode": "train", "epoch": 173, "iter": 108850, "lr": 2e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.20621, "decode.acc_seg": 73.40293, "aux.loss_seg": 0.16697, "aux.acc_seg": 67.73027, "loss": 0.37319, "time": 0.40163} +{"mode": "train", "epoch": 173, "iter": 108900, "lr": 2e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.20419, "decode.acc_seg": 73.65861, "aux.loss_seg": 0.16211, "aux.acc_seg": 68.21764, "loss": 0.3663, "time": 0.40149} +{"mode": "train", "epoch": 173, "iter": 108950, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.20067, "decode.acc_seg": 73.50092, "aux.loss_seg": 0.15931, "aux.acc_seg": 67.98202, "loss": 0.35998, "time": 0.40228} +{"mode": "train", "epoch": 173, "iter": 109000, "lr": 2e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.19894, "decode.acc_seg": 74.59051, "aux.loss_seg": 0.16359, "aux.acc_seg": 68.86778, "loss": 0.36254, "time": 0.40076} +{"mode": "train", "epoch": 173, "iter": 109050, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.20213, "decode.acc_seg": 74.47479, "aux.loss_seg": 0.16322, "aux.acc_seg": 68.83033, "loss": 0.36535, "time": 0.40107} +{"mode": "train", "epoch": 173, "iter": 109100, "lr": 2e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.19532, "decode.acc_seg": 74.41986, "aux.loss_seg": 0.16295, "aux.acc_seg": 68.65692, "loss": 0.35826, "time": 0.40161} +{"mode": "train", "epoch": 173, "iter": 109150, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.19689, "decode.acc_seg": 74.01658, "aux.loss_seg": 0.15994, "aux.acc_seg": 68.59321, "loss": 0.35682, "time": 0.40145} +{"mode": "train", "epoch": 174, "iter": 109200, "lr": 2e-05, "memory": 22018, "data_time": 0.17514, "decode.loss_seg": 0.19927, "decode.acc_seg": 73.47255, "aux.loss_seg": 0.16439, "aux.acc_seg": 67.62051, "loss": 0.36366, "time": 0.56818} +{"mode": "train", "epoch": 174, "iter": 109250, "lr": 2e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.19948, "decode.acc_seg": 74.95609, "aux.loss_seg": 0.16301, "aux.acc_seg": 69.37272, "loss": 0.36249, "time": 0.39974} +{"mode": "train", "epoch": 174, "iter": 109300, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.1996, "decode.acc_seg": 74.40348, "aux.loss_seg": 0.16088, "aux.acc_seg": 68.85896, "loss": 0.36047, "time": 0.40014} +{"mode": "train", "epoch": 174, "iter": 109350, "lr": 2e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.20361, "decode.acc_seg": 74.15144, "aux.loss_seg": 0.16356, "aux.acc_seg": 68.55768, "loss": 0.36717, "time": 0.40165} +{"mode": "train", "epoch": 174, "iter": 109400, "lr": 2e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.19935, "decode.acc_seg": 73.89244, "aux.loss_seg": 0.15981, "aux.acc_seg": 68.43476, "loss": 0.35916, "time": 0.40186} +{"mode": "train", "epoch": 174, "iter": 109450, "lr": 2e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.19906, "decode.acc_seg": 74.28425, "aux.loss_seg": 0.16435, "aux.acc_seg": 68.46765, "loss": 0.36341, "time": 0.40081} +{"mode": "train", "epoch": 174, "iter": 109500, "lr": 2e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.19519, "decode.acc_seg": 74.97386, "aux.loss_seg": 0.15933, "aux.acc_seg": 69.36476, "loss": 0.35452, "time": 0.40104} +{"mode": "train", "epoch": 174, "iter": 109550, "lr": 2e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.20248, "decode.acc_seg": 74.48434, "aux.loss_seg": 0.16293, "aux.acc_seg": 68.92614, "loss": 0.36541, "time": 0.40142} +{"mode": "train", "epoch": 174, "iter": 109600, "lr": 2e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.20345, "decode.acc_seg": 73.18739, "aux.loss_seg": 0.16502, "aux.acc_seg": 67.42988, "loss": 0.36847, "time": 0.40148} +{"mode": "train", "epoch": 174, "iter": 109650, "lr": 2e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.20603, "decode.acc_seg": 73.88654, "aux.loss_seg": 0.16779, "aux.acc_seg": 68.02198, "loss": 0.37382, "time": 0.40261} +{"mode": "train", "epoch": 174, "iter": 109700, "lr": 2e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.20178, "decode.acc_seg": 74.15487, "aux.loss_seg": 0.16503, "aux.acc_seg": 68.46465, "loss": 0.36681, "time": 0.40217} +{"mode": "train", "epoch": 174, "iter": 109750, "lr": 2e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.20283, "decode.acc_seg": 73.59423, "aux.loss_seg": 0.16178, "aux.acc_seg": 68.15099, "loss": 0.36461, "time": 0.4025} +{"mode": "train", "epoch": 175, "iter": 109800, "lr": 2e-05, "memory": 22018, "data_time": 0.17943, "decode.loss_seg": 0.20559, "decode.acc_seg": 73.26351, "aux.loss_seg": 0.1645, "aux.acc_seg": 67.59586, "loss": 0.3701, "time": 0.57381} +{"mode": "train", "epoch": 175, "iter": 109850, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.203, "decode.acc_seg": 74.54224, "aux.loss_seg": 0.16447, "aux.acc_seg": 68.9275, "loss": 0.36747, "time": 0.40228} +{"mode": "train", "epoch": 175, "iter": 109900, "lr": 2e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.20387, "decode.acc_seg": 73.67586, "aux.loss_seg": 0.16766, "aux.acc_seg": 67.80344, "loss": 0.37154, "time": 0.40097} +{"mode": "train", "epoch": 175, "iter": 109950, "lr": 2e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.20238, "decode.acc_seg": 73.92032, "aux.loss_seg": 0.16447, "aux.acc_seg": 68.29499, "loss": 0.36685, "time": 0.40163} +{"mode": "train", "epoch": 175, "iter": 110000, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.2094, "decode.acc_seg": 73.93736, "aux.loss_seg": 0.16589, "aux.acc_seg": 68.51529, "loss": 0.37529, "time": 0.40278} +{"mode": "train", "epoch": 175, "iter": 110050, "lr": 2e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.19898, "decode.acc_seg": 73.46593, "aux.loss_seg": 0.1637, "aux.acc_seg": 67.90587, "loss": 0.36268, "time": 0.40211} +{"mode": "train", "epoch": 175, "iter": 110100, "lr": 2e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.19915, "decode.acc_seg": 73.90584, "aux.loss_seg": 0.15653, "aux.acc_seg": 68.64263, "loss": 0.35568, "time": 0.4031} +{"mode": "train", "epoch": 175, "iter": 110150, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.19657, "decode.acc_seg": 73.62855, "aux.loss_seg": 0.15816, "aux.acc_seg": 68.23651, "loss": 0.35474, "time": 0.40457} +{"mode": "train", "epoch": 175, "iter": 110200, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.19612, "decode.acc_seg": 73.96141, "aux.loss_seg": 0.16217, "aux.acc_seg": 68.31919, "loss": 0.35829, "time": 0.40335} +{"mode": "train", "epoch": 175, "iter": 110250, "lr": 2e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.20272, "decode.acc_seg": 74.38272, "aux.loss_seg": 0.16468, "aux.acc_seg": 68.58295, "loss": 0.3674, "time": 0.40146} +{"mode": "train", "epoch": 175, "iter": 110300, "lr": 2e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.19744, "decode.acc_seg": 74.47985, "aux.loss_seg": 0.15957, "aux.acc_seg": 69.05198, "loss": 0.35701, "time": 0.40173} +{"mode": "train", "epoch": 175, "iter": 110350, "lr": 2e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.20723, "decode.acc_seg": 74.54867, "aux.loss_seg": 0.16691, "aux.acc_seg": 68.8345, "loss": 0.37414, "time": 0.40387} +{"mode": "train", "epoch": 175, "iter": 110400, "lr": 2e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.19638, "decode.acc_seg": 73.96378, "aux.loss_seg": 0.161, "aux.acc_seg": 68.36652, "loss": 0.35739, "time": 0.40472} +{"mode": "train", "epoch": 176, "iter": 110450, "lr": 2e-05, "memory": 22018, "data_time": 0.16759, "decode.loss_seg": 0.19802, "decode.acc_seg": 73.5563, "aux.loss_seg": 0.15969, "aux.acc_seg": 67.98664, "loss": 0.35771, "time": 0.56134} +{"mode": "train", "epoch": 176, "iter": 110500, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.20232, "decode.acc_seg": 74.47975, "aux.loss_seg": 0.16283, "aux.acc_seg": 68.80762, "loss": 0.36514, "time": 0.40155} +{"mode": "train", "epoch": 176, "iter": 110550, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.20304, "decode.acc_seg": 73.48952, "aux.loss_seg": 0.16151, "aux.acc_seg": 67.99363, "loss": 0.36455, "time": 0.40246} +{"mode": "train", "epoch": 176, "iter": 110600, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.19652, "decode.acc_seg": 75.15822, "aux.loss_seg": 0.15733, "aux.acc_seg": 69.76693, "loss": 0.35385, "time": 0.4032} +{"mode": "train", "epoch": 176, "iter": 110650, "lr": 2e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.19913, "decode.acc_seg": 73.53325, "aux.loss_seg": 0.1627, "aux.acc_seg": 67.87141, "loss": 0.36183, "time": 0.40264} +{"mode": "train", "epoch": 176, "iter": 110700, "lr": 2e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.19703, "decode.acc_seg": 73.79661, "aux.loss_seg": 0.16707, "aux.acc_seg": 67.80541, "loss": 0.36409, "time": 0.40166} +{"mode": "train", "epoch": 176, "iter": 110750, "lr": 2e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.1998, "decode.acc_seg": 73.66878, "aux.loss_seg": 0.16206, "aux.acc_seg": 68.03107, "loss": 0.36186, "time": 0.40062} +{"mode": "train", "epoch": 176, "iter": 110800, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.20234, "decode.acc_seg": 74.21214, "aux.loss_seg": 0.16439, "aux.acc_seg": 68.74741, "loss": 0.36673, "time": 0.40279} +{"mode": "train", "epoch": 176, "iter": 110850, "lr": 2e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.20248, "decode.acc_seg": 74.39589, "aux.loss_seg": 0.16345, "aux.acc_seg": 68.74896, "loss": 0.36593, "time": 0.40126} +{"mode": "train", "epoch": 176, "iter": 110900, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.19336, "decode.acc_seg": 73.73126, "aux.loss_seg": 0.15761, "aux.acc_seg": 68.21234, "loss": 0.35097, "time": 0.40153} +{"mode": "train", "epoch": 176, "iter": 110950, "lr": 2e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.1981, "decode.acc_seg": 74.47467, "aux.loss_seg": 0.16205, "aux.acc_seg": 68.76561, "loss": 0.36016, "time": 0.40195} +{"mode": "train", "epoch": 176, "iter": 111000, "lr": 2e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.20133, "decode.acc_seg": 74.28895, "aux.loss_seg": 0.16163, "aux.acc_seg": 68.63458, "loss": 0.36296, "time": 0.40195} +{"mode": "train", "epoch": 176, "iter": 111050, "lr": 2e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.20786, "decode.acc_seg": 74.86636, "aux.loss_seg": 0.16859, "aux.acc_seg": 69.15961, "loss": 0.37645, "time": 0.40183} +{"mode": "train", "epoch": 177, "iter": 111100, "lr": 2e-05, "memory": 22018, "data_time": 0.18604, "decode.loss_seg": 0.20066, "decode.acc_seg": 74.20504, "aux.loss_seg": 0.16724, "aux.acc_seg": 68.20668, "loss": 0.3679, "time": 0.57982} +{"mode": "train", "epoch": 177, "iter": 111150, "lr": 2e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.18982, "decode.acc_seg": 74.82706, "aux.loss_seg": 0.15645, "aux.acc_seg": 69.4022, "loss": 0.34628, "time": 0.4024} +{"mode": "train", "epoch": 177, "iter": 111200, "lr": 2e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.19334, "decode.acc_seg": 74.31871, "aux.loss_seg": 0.15814, "aux.acc_seg": 68.86024, "loss": 0.35149, "time": 0.40231} +{"mode": "train", "epoch": 177, "iter": 111250, "lr": 2e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.19199, "decode.acc_seg": 74.06759, "aux.loss_seg": 0.15909, "aux.acc_seg": 68.52847, "loss": 0.35108, "time": 0.40346} +{"mode": "train", "epoch": 177, "iter": 111300, "lr": 2e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.19143, "decode.acc_seg": 73.83545, "aux.loss_seg": 0.15942, "aux.acc_seg": 68.20037, "loss": 0.35085, "time": 0.40328} +{"mode": "train", "epoch": 177, "iter": 111350, "lr": 2e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.19334, "decode.acc_seg": 72.7277, "aux.loss_seg": 0.1555, "aux.acc_seg": 67.44382, "loss": 0.34884, "time": 0.40423} +{"mode": "train", "epoch": 177, "iter": 111400, "lr": 2e-05, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.19477, "decode.acc_seg": 74.13434, "aux.loss_seg": 0.16241, "aux.acc_seg": 68.3577, "loss": 0.35718, "time": 0.40264} +{"mode": "train", "epoch": 177, "iter": 111450, "lr": 2e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.19706, "decode.acc_seg": 73.97275, "aux.loss_seg": 0.16016, "aux.acc_seg": 68.55474, "loss": 0.35722, "time": 0.4045} +{"mode": "train", "epoch": 177, "iter": 111500, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.2061, "decode.acc_seg": 74.8798, "aux.loss_seg": 0.16971, "aux.acc_seg": 68.80022, "loss": 0.37581, "time": 0.40401} +{"mode": "train", "epoch": 177, "iter": 111550, "lr": 2e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.19913, "decode.acc_seg": 74.80049, "aux.loss_seg": 0.16073, "aux.acc_seg": 69.41101, "loss": 0.35986, "time": 0.40373} +{"mode": "train", "epoch": 177, "iter": 111600, "lr": 2e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.20091, "decode.acc_seg": 73.57351, "aux.loss_seg": 0.16178, "aux.acc_seg": 68.07318, "loss": 0.36269, "time": 0.40388} +{"mode": "train", "epoch": 177, "iter": 111650, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.20177, "decode.acc_seg": 75.09996, "aux.loss_seg": 0.16216, "aux.acc_seg": 69.59787, "loss": 0.36394, "time": 0.40397} +{"mode": "train", "epoch": 178, "iter": 111700, "lr": 2e-05, "memory": 22018, "data_time": 0.17681, "decode.loss_seg": 0.20074, "decode.acc_seg": 73.51637, "aux.loss_seg": 0.16298, "aux.acc_seg": 67.85861, "loss": 0.36372, "time": 0.57212} +{"mode": "train", "epoch": 178, "iter": 111750, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.19691, "decode.acc_seg": 74.4454, "aux.loss_seg": 0.15953, "aux.acc_seg": 68.84434, "loss": 0.35644, "time": 0.3994} +{"mode": "train", "epoch": 178, "iter": 111800, "lr": 2e-05, "memory": 22018, "data_time": 0.00728, "decode.loss_seg": 0.20425, "decode.acc_seg": 73.85305, "aux.loss_seg": 0.16581, "aux.acc_seg": 68.2011, "loss": 0.37006, "time": 0.39952} +{"mode": "train", "epoch": 178, "iter": 111850, "lr": 2e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.1974, "decode.acc_seg": 74.45023, "aux.loss_seg": 0.16419, "aux.acc_seg": 68.73728, "loss": 0.36159, "time": 0.40002} +{"mode": "train", "epoch": 178, "iter": 111900, "lr": 2e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.19658, "decode.acc_seg": 73.67995, "aux.loss_seg": 0.16103, "aux.acc_seg": 68.21057, "loss": 0.35761, "time": 0.40298} +{"mode": "train", "epoch": 178, "iter": 111950, "lr": 2e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.19537, "decode.acc_seg": 73.83795, "aux.loss_seg": 0.16299, "aux.acc_seg": 68.11161, "loss": 0.35836, "time": 0.40075} +{"mode": "val", "epoch": 178, "iter": 112000, "lr": 2e-05, "mIoU": 0.4624, "mAcc": 0.5825, "aAcc": 0.8161, "IoU.wall": 0.7559, "IoU.building": 0.8176, "IoU.sky": 0.9365, "IoU.floor": 0.8015, "IoU.tree": 0.7234, "IoU.ceiling": 0.8329, "IoU.road": 0.8185, "IoU.bed ": 0.8686, "IoU.windowpane": 0.5972, "IoU.grass": 0.6921, "IoU.cabinet": 0.5834, "IoU.sidewalk": 0.6259, "IoU.person": 0.7573, "IoU.earth": 0.3281, "IoU.door": 0.4365, "IoU.table": 0.5659, "IoU.mountain": 0.5793, "IoU.plant": 0.4913, "IoU.curtain": 0.7158, "IoU.chair": 0.5225, "IoU.car": 0.8087, "IoU.water": 0.5187, "IoU.painting": 0.6887, "IoU.sofa": 0.5895, "IoU.shelf": 0.393, "IoU.house": 0.4486, "IoU.sea": 0.5039, "IoU.mirror": 0.591, "IoU.rug": 0.6293, "IoU.field": 0.3063, "IoU.armchair": 0.3331, "IoU.seat": 0.5573, "IoU.fence": 0.3704, "IoU.desk": 0.4658, "IoU.rock": 0.415, "IoU.wardrobe": 0.4995, "IoU.lamp": 0.5723, "IoU.bathtub": 0.7751, "IoU.railing": 0.3316, "IoU.cushion": 0.5203, "IoU.base": 0.2698, "IoU.box": 0.2317, "IoU.column": 0.4091, "IoU.signboard": 0.3315, "IoU.chest of drawers": 0.3858, "IoU.counter": 0.2708, "IoU.sand": 0.3437, "IoU.sink": 0.6728, "IoU.skyscraper": 0.6952, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6313, "IoU.grandstand": 0.3794, "IoU.path": 0.1717, "IoU.stairs": 0.2834, "IoU.runway": 0.6454, "IoU.case": 0.3799, "IoU.pool table": 0.9081, "IoU.pillow": 0.5481, "IoU.screen door": 0.6366, "IoU.stairway": 0.3414, "IoU.river": 0.0834, "IoU.bridge": 0.6168, "IoU.bookcase": 0.3898, "IoU.blind": NaN, "IoU.coffee table": 0.5093, "IoU.toilet": 0.8156, "IoU.flower": 0.3967, "IoU.book": 0.4531, "IoU.hill": 0.1091, "IoU.bench": 0.3984, "IoU.countertop": 0.5515, "IoU.stove": 0.7007, "IoU.palm": 0.4505, "IoU.kitchen island": 0.2924, "IoU.computer": 0.5968, "IoU.swivel chair": 0.3943, "IoU.boat": 0.5553, "IoU.bar": 0.3507, "IoU.arcade machine": 0.2761, "IoU.hovel": 0.2534, "IoU.bus": 0.8162, "IoU.towel": 0.5952, "IoU.light": 0.5304, "IoU.truck": 0.3614, "IoU.tower": 0.2657, "IoU.chandelier": 0.6282, "IoU.awning": 0.3017, "IoU.streetlight": 0.202, "IoU.booth": 0.5318, "IoU.television receiver": NaN, "IoU.airplane": 0.5688, "IoU.dirt track": 0.1873, "IoU.apparel": 0.3499, "IoU.pole": 0.1548, "IoU.land": 0.0009, "IoU.bannister": 0.0973, "IoU.escalator": 0.2408, "IoU.ottoman": 0.352, "IoU.bottle": NaN, "IoU.buffet": 0.3862, "IoU.poster": 0.3172, "IoU.stage": 0.1623, "IoU.van": 0.3916, "IoU.ship": 0.6281, "IoU.fountain": 0.2492, "IoU.conveyer belt": 0.7045, "IoU.canopy": 0.2452, "IoU.washer": 0.72, "IoU.plaything": 0.1741, "IoU.swimming pool": 0.7, "IoU.stool": 0.3928, "IoU.barrel": 0.45, "IoU.basket": 0.251, "IoU.waterfall": 0.7071, "IoU.tent": 0.9334, "IoU.bag": 0.0935, "IoU.minibike": 0.659, "IoU.cradle": NaN, "IoU.oven": 0.4241, "IoU.ball": 0.3842, "IoU.food": 0.5139, "IoU.step": 0.1424, "IoU.tank": 0.4784, "IoU.trade name": 0.2162, "IoU.microwave": 0.6555, "IoU.pot": 0.4721, "IoU.animal": NaN, "IoU.bicycle": 0.5147, "IoU.lake": 0.464, "IoU.dishwasher": 0.474, "IoU.screen": 0.5855, "IoU.blanket": 0.1086, "IoU.sculpture": 0.5314, "IoU.hood": 0.5241, "IoU.sconce": 0.418, "IoU.vase": 0.3083, "IoU.traffic light": 0.2429, "IoU.tray": 0.0858, "IoU.ashcan": 0.3303, "IoU.fan": 0.5402, "IoU.pier": 0.6089, "IoU.crt screen": 0.108, "IoU.plate": 0.5456, "IoU.monitor": 0.5214, "IoU.bulletin board": 0.2859, "IoU.shower": 0.0291, "IoU.radiator": 0.4366, "IoU.glass": 0.1152, "IoU.clock": 0.3667, "IoU.flag": 0.3071, "Acc.wall": 0.865, "Acc.building": 0.9083, "Acc.sky": 0.9703, "Acc.floor": 0.8944, "Acc.tree": 0.8755, "Acc.ceiling": 0.9118, "Acc.road": 0.8894, "Acc.bed ": 0.9484, "Acc.windowpane": 0.7722, "Acc.grass": 0.8475, "Acc.cabinet": 0.7382, "Acc.sidewalk": 0.8127, "Acc.person": 0.9182, "Acc.earth": 0.4476, "Acc.door": 0.6133, "Acc.table": 0.7415, "Acc.mountain": 0.7722, "Acc.plant": 0.6184, "Acc.curtain": 0.8325, "Acc.chair": 0.6762, "Acc.car": 0.9175, "Acc.water": 0.6766, "Acc.painting": 0.8706, "Acc.sofa": 0.8118, "Acc.shelf": 0.5853, "Acc.house": 0.6619, "Acc.sea": 0.6985, "Acc.mirror": 0.6884, "Acc.rug": 0.7387, "Acc.field": 0.4656, "Acc.armchair": 0.4768, "Acc.seat": 0.7482, "Acc.fence": 0.5071, "Acc.desk": 0.6917, "Acc.rock": 0.6269, "Acc.wardrobe": 0.6455, "Acc.lamp": 0.6981, "Acc.bathtub": 0.8323, "Acc.railing": 0.4526, "Acc.cushion": 0.654, "Acc.base": 0.3907, "Acc.box": 0.3017, "Acc.column": 0.5272, "Acc.signboard": 0.4823, "Acc.chest of drawers": 0.5783, "Acc.counter": 0.3162, "Acc.sand": 0.524, "Acc.sink": 0.7823, "Acc.skyscraper": 0.8701, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7671, "Acc.grandstand": 0.6363, "Acc.path": 0.2322, "Acc.stairs": 0.343, "Acc.runway": 0.8577, "Acc.case": 0.5024, "Acc.pool table": 0.9577, "Acc.pillow": 0.6572, "Acc.screen door": 0.758, "Acc.stairway": 0.4293, "Acc.river": 0.1713, "Acc.bridge": 0.7994, "Acc.bookcase": 0.4711, "Acc.blind": NaN, "Acc.coffee table": 0.7928, "Acc.toilet": 0.901, "Acc.flower": 0.5451, "Acc.book": 0.6689, "Acc.hill": 0.1407, "Acc.bench": 0.4836, "Acc.countertop": 0.7199, "Acc.stove": 0.7832, "Acc.palm": 0.6339, "Acc.kitchen island": 0.5269, "Acc.computer": 0.7106, "Acc.swivel chair": 0.5578, "Acc.boat": 0.6441, "Acc.bar": 0.4338, "Acc.arcade machine": 0.2842, "Acc.hovel": 0.2753, "Acc.bus": 0.8858, "Acc.towel": 0.7456, "Acc.light": 0.6017, "Acc.truck": 0.4443, "Acc.tower": 0.4429, "Acc.chandelier": 0.797, "Acc.awning": 0.3724, "Acc.streetlight": 0.2788, "Acc.booth": 0.6636, "Acc.television receiver": NaN, "Acc.airplane": 0.6214, "Acc.dirt track": 0.4075, "Acc.apparel": 0.4549, "Acc.pole": 0.236, "Acc.land": 0.0011, "Acc.bannister": 0.1307, "Acc.escalator": 0.3225, "Acc.ottoman": 0.5545, "Acc.bottle": NaN, "Acc.buffet": 0.4387, "Acc.poster": 0.4105, "Acc.stage": 0.2289, "Acc.van": 0.4904, "Acc.ship": 0.9165, "Acc.fountain": 0.2729, "Acc.conveyer belt": 0.8583, "Acc.canopy": 0.3162, "Acc.washer": 0.7701, "Acc.plaything": 0.2821, "Acc.swimming pool": 0.8154, "Acc.stool": 0.5202, "Acc.barrel": 0.6435, "Acc.basket": 0.3912, "Acc.waterfall": 0.8235, "Acc.tent": 0.9841, "Acc.bag": 0.1222, "Acc.minibike": 0.8381, "Acc.cradle": NaN, "Acc.oven": 0.5972, "Acc.ball": 0.4614, "Acc.food": 0.6011, "Acc.step": 0.1684, "Acc.tank": 0.5104, "Acc.trade name": 0.2466, "Acc.microwave": 0.7348, "Acc.pot": 0.5543, "Acc.animal": NaN, "Acc.bicycle": 0.7147, "Acc.lake": 0.5464, "Acc.dishwasher": 0.6251, "Acc.screen": 0.8071, "Acc.blanket": 0.1193, "Acc.sculpture": 0.6719, "Acc.hood": 0.5947, "Acc.sconce": 0.5233, "Acc.vase": 0.4562, "Acc.traffic light": 0.393, "Acc.tray": 0.1591, "Acc.ashcan": 0.4349, "Acc.fan": 0.7193, "Acc.pier": 0.8366, "Acc.crt screen": 0.1515, "Acc.plate": 0.7109, "Acc.monitor": 0.6078, "Acc.bulletin board": 0.3894, "Acc.shower": 0.0691, "Acc.radiator": 0.5031, "Acc.glass": 0.1234, "Acc.clock": 0.4424, "Acc.flag": 0.3649} +{"mode": "train", "epoch": 178, "iter": 112050, "lr": 2e-05, "memory": 22018, "data_time": 1.42729, "decode.loss_seg": 0.19791, "decode.acc_seg": 74.30247, "aux.loss_seg": 0.15728, "aux.acc_seg": 69.06251, "loss": 0.3552, "time": 1.82124} +{"mode": "train", "epoch": 178, "iter": 112100, "lr": 2e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.21153, "decode.acc_seg": 73.97925, "aux.loss_seg": 0.16967, "aux.acc_seg": 68.06749, "loss": 0.3812, "time": 0.40067} +{"mode": "train", "epoch": 178, "iter": 112150, "lr": 2e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.20264, "decode.acc_seg": 74.19996, "aux.loss_seg": 0.16599, "aux.acc_seg": 68.41956, "loss": 0.36863, "time": 0.40053} +{"mode": "train", "epoch": 178, "iter": 112200, "lr": 2e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.20214, "decode.acc_seg": 73.28901, "aux.loss_seg": 0.16225, "aux.acc_seg": 67.5959, "loss": 0.36438, "time": 0.39944} +{"mode": "train", "epoch": 178, "iter": 112250, "lr": 2e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.20735, "decode.acc_seg": 73.87762, "aux.loss_seg": 0.16461, "aux.acc_seg": 68.22658, "loss": 0.37196, "time": 0.39915} +{"mode": "train", "epoch": 178, "iter": 112300, "lr": 2e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.19649, "decode.acc_seg": 73.90302, "aux.loss_seg": 0.16209, "aux.acc_seg": 68.22698, "loss": 0.35858, "time": 0.39929} +{"mode": "train", "epoch": 179, "iter": 112350, "lr": 2e-05, "memory": 22018, "data_time": 0.18159, "decode.loss_seg": 0.20161, "decode.acc_seg": 73.52135, "aux.loss_seg": 0.16372, "aux.acc_seg": 67.90936, "loss": 0.36532, "time": 0.57555} +{"mode": "train", "epoch": 179, "iter": 112400, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.2018, "decode.acc_seg": 73.15918, "aux.loss_seg": 0.1664, "aux.acc_seg": 67.40549, "loss": 0.3682, "time": 0.40262} +{"mode": "train", "epoch": 179, "iter": 112450, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.19897, "decode.acc_seg": 74.92077, "aux.loss_seg": 0.16443, "aux.acc_seg": 69.25821, "loss": 0.3634, "time": 0.40009} +{"mode": "train", "epoch": 179, "iter": 112500, "lr": 2e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.19911, "decode.acc_seg": 75.19941, "aux.loss_seg": 0.16374, "aux.acc_seg": 69.41981, "loss": 0.36284, "time": 0.40202} +{"mode": "train", "epoch": 179, "iter": 112550, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19905, "decode.acc_seg": 74.20925, "aux.loss_seg": 0.16024, "aux.acc_seg": 68.8448, "loss": 0.35929, "time": 0.40202} +{"mode": "train", "epoch": 179, "iter": 112600, "lr": 2e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.19904, "decode.acc_seg": 74.13038, "aux.loss_seg": 0.16508, "aux.acc_seg": 68.38397, "loss": 0.36412, "time": 0.40133} +{"mode": "train", "epoch": 179, "iter": 112650, "lr": 2e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.19493, "decode.acc_seg": 74.2167, "aux.loss_seg": 0.15467, "aux.acc_seg": 68.91359, "loss": 0.3496, "time": 0.40215} +{"mode": "train", "epoch": 179, "iter": 112700, "lr": 2e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.19228, "decode.acc_seg": 74.14123, "aux.loss_seg": 0.15384, "aux.acc_seg": 68.98125, "loss": 0.34612, "time": 0.40237} +{"mode": "train", "epoch": 179, "iter": 112750, "lr": 2e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.19509, "decode.acc_seg": 74.10308, "aux.loss_seg": 0.15999, "aux.acc_seg": 68.39263, "loss": 0.35508, "time": 0.40012} +{"mode": "train", "epoch": 179, "iter": 112800, "lr": 2e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.19877, "decode.acc_seg": 74.54291, "aux.loss_seg": 0.15964, "aux.acc_seg": 68.98845, "loss": 0.35841, "time": 0.40189} +{"mode": "train", "epoch": 179, "iter": 112850, "lr": 2e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.19755, "decode.acc_seg": 74.09407, "aux.loss_seg": 0.16161, "aux.acc_seg": 68.57317, "loss": 0.35916, "time": 0.40193} +{"mode": "train", "epoch": 179, "iter": 112900, "lr": 2e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.20657, "decode.acc_seg": 74.53607, "aux.loss_seg": 0.1666, "aux.acc_seg": 68.80986, "loss": 0.37316, "time": 0.40259} +{"mode": "train", "epoch": 179, "iter": 112950, "lr": 2e-05, "memory": 22018, "data_time": 0.16757, "decode.loss_seg": 0.20466, "decode.acc_seg": 74.42452, "aux.loss_seg": 0.16474, "aux.acc_seg": 68.79112, "loss": 0.3694, "time": 0.5614} +{"mode": "train", "epoch": 180, "iter": 113000, "lr": 2e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.19698, "decode.acc_seg": 75.06274, "aux.loss_seg": 0.16714, "aux.acc_seg": 68.91963, "loss": 0.36412, "time": 0.403} +{"mode": "train", "epoch": 180, "iter": 113050, "lr": 2e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.19912, "decode.acc_seg": 75.22097, "aux.loss_seg": 0.16328, "aux.acc_seg": 69.6306, "loss": 0.3624, "time": 0.40243} +{"mode": "train", "epoch": 180, "iter": 113100, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.19734, "decode.acc_seg": 74.72579, "aux.loss_seg": 0.16028, "aux.acc_seg": 69.35785, "loss": 0.35762, "time": 0.40252} +{"mode": "train", "epoch": 180, "iter": 113150, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.20104, "decode.acc_seg": 73.68596, "aux.loss_seg": 0.16163, "aux.acc_seg": 68.18418, "loss": 0.36267, "time": 0.40391} +{"mode": "train", "epoch": 180, "iter": 113200, "lr": 2e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.19366, "decode.acc_seg": 74.05003, "aux.loss_seg": 0.1582, "aux.acc_seg": 68.41937, "loss": 0.35186, "time": 0.40248} +{"mode": "train", "epoch": 180, "iter": 113250, "lr": 2e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.19429, "decode.acc_seg": 73.72127, "aux.loss_seg": 0.15926, "aux.acc_seg": 68.13913, "loss": 0.35355, "time": 0.4019} +{"mode": "train", "epoch": 180, "iter": 113300, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.19997, "decode.acc_seg": 74.39151, "aux.loss_seg": 0.16392, "aux.acc_seg": 68.64898, "loss": 0.36389, "time": 0.40242} +{"mode": "train", "epoch": 180, "iter": 113350, "lr": 2e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.19666, "decode.acc_seg": 73.73098, "aux.loss_seg": 0.16224, "aux.acc_seg": 68.13857, "loss": 0.3589, "time": 0.40219} +{"mode": "train", "epoch": 180, "iter": 113400, "lr": 2e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.20023, "decode.acc_seg": 74.28981, "aux.loss_seg": 0.16278, "aux.acc_seg": 68.69272, "loss": 0.36301, "time": 0.40203} +{"mode": "train", "epoch": 180, "iter": 113450, "lr": 2e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.19835, "decode.acc_seg": 73.92857, "aux.loss_seg": 0.16616, "aux.acc_seg": 68.1682, "loss": 0.3645, "time": 0.40206} +{"mode": "train", "epoch": 180, "iter": 113500, "lr": 2e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.19364, "decode.acc_seg": 73.46958, "aux.loss_seg": 0.15946, "aux.acc_seg": 67.9368, "loss": 0.3531, "time": 0.4021} +{"mode": "train", "epoch": 180, "iter": 113550, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.18463, "decode.acc_seg": 73.95161, "aux.loss_seg": 0.15289, "aux.acc_seg": 68.4922, "loss": 0.33752, "time": 0.40153} +{"mode": "train", "epoch": 181, "iter": 113600, "lr": 2e-05, "memory": 22018, "data_time": 0.16918, "decode.loss_seg": 0.20118, "decode.acc_seg": 73.3915, "aux.loss_seg": 0.16108, "aux.acc_seg": 67.90968, "loss": 0.36226, "time": 0.5618} +{"mode": "train", "epoch": 181, "iter": 113650, "lr": 2e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.19161, "decode.acc_seg": 74.94538, "aux.loss_seg": 0.15885, "aux.acc_seg": 69.34048, "loss": 0.35046, "time": 0.40221} +{"mode": "train", "epoch": 181, "iter": 113700, "lr": 2e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.1897, "decode.acc_seg": 73.28876, "aux.loss_seg": 0.15488, "aux.acc_seg": 67.84393, "loss": 0.34458, "time": 0.40167} +{"mode": "train", "epoch": 181, "iter": 113750, "lr": 2e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.20645, "decode.acc_seg": 74.52647, "aux.loss_seg": 0.16549, "aux.acc_seg": 68.88176, "loss": 0.37194, "time": 0.4028} +{"mode": "train", "epoch": 181, "iter": 113800, "lr": 2e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.19545, "decode.acc_seg": 74.38366, "aux.loss_seg": 0.15917, "aux.acc_seg": 68.91114, "loss": 0.35462, "time": 0.40314} +{"mode": "train", "epoch": 181, "iter": 113850, "lr": 2e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.19575, "decode.acc_seg": 74.47758, "aux.loss_seg": 0.16325, "aux.acc_seg": 68.64276, "loss": 0.359, "time": 0.40356} +{"mode": "train", "epoch": 181, "iter": 113900, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19364, "decode.acc_seg": 73.92134, "aux.loss_seg": 0.15888, "aux.acc_seg": 68.41153, "loss": 0.35253, "time": 0.40242} +{"mode": "train", "epoch": 181, "iter": 113950, "lr": 2e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.20248, "decode.acc_seg": 73.96519, "aux.loss_seg": 0.16334, "aux.acc_seg": 68.45171, "loss": 0.36582, "time": 0.40209} +{"mode": "train", "epoch": 181, "iter": 114000, "lr": 2e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.19153, "decode.acc_seg": 73.68844, "aux.loss_seg": 0.15923, "aux.acc_seg": 68.09709, "loss": 0.35077, "time": 0.4017} +{"mode": "train", "epoch": 181, "iter": 114050, "lr": 2e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.19635, "decode.acc_seg": 74.82298, "aux.loss_seg": 0.15962, "aux.acc_seg": 69.1916, "loss": 0.35596, "time": 0.40308} +{"mode": "train", "epoch": 181, "iter": 114100, "lr": 2e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.18625, "decode.acc_seg": 74.27751, "aux.loss_seg": 0.15307, "aux.acc_seg": 68.79519, "loss": 0.33932, "time": 0.40189} +{"mode": "train", "epoch": 181, "iter": 114150, "lr": 2e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.19971, "decode.acc_seg": 75.08417, "aux.loss_seg": 0.16421, "aux.acc_seg": 69.45896, "loss": 0.36392, "time": 0.40031} +{"mode": "train", "epoch": 181, "iter": 114200, "lr": 2e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.1932, "decode.acc_seg": 74.56031, "aux.loss_seg": 0.15979, "aux.acc_seg": 68.99544, "loss": 0.35299, "time": 0.40028} +{"mode": "train", "epoch": 182, "iter": 114250, "lr": 2e-05, "memory": 22018, "data_time": 0.18072, "decode.loss_seg": 0.18953, "decode.acc_seg": 74.32012, "aux.loss_seg": 0.15449, "aux.acc_seg": 68.96756, "loss": 0.34402, "time": 0.5758} +{"mode": "train", "epoch": 182, "iter": 114300, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.1871, "decode.acc_seg": 74.64766, "aux.loss_seg": 0.15668, "aux.acc_seg": 69.11897, "loss": 0.34378, "time": 0.40193} +{"mode": "train", "epoch": 182, "iter": 114350, "lr": 2e-05, "memory": 22018, "data_time": 0.00693, "decode.loss_seg": 0.19583, "decode.acc_seg": 73.5939, "aux.loss_seg": 0.15646, "aux.acc_seg": 68.14589, "loss": 0.35229, "time": 0.4012} +{"mode": "train", "epoch": 182, "iter": 114400, "lr": 2e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.19561, "decode.acc_seg": 74.71005, "aux.loss_seg": 0.15917, "aux.acc_seg": 69.09924, "loss": 0.35478, "time": 0.40104} +{"mode": "train", "epoch": 182, "iter": 114450, "lr": 2e-05, "memory": 22018, "data_time": 0.00693, "decode.loss_seg": 0.20785, "decode.acc_seg": 73.81452, "aux.loss_seg": 0.16532, "aux.acc_seg": 68.30632, "loss": 0.37317, "time": 0.40085} +{"mode": "train", "epoch": 182, "iter": 114500, "lr": 2e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.19044, "decode.acc_seg": 73.80717, "aux.loss_seg": 0.15997, "aux.acc_seg": 68.00933, "loss": 0.35041, "time": 0.40146} +{"mode": "train", "epoch": 182, "iter": 114550, "lr": 2e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.19225, "decode.acc_seg": 74.47669, "aux.loss_seg": 0.15559, "aux.acc_seg": 69.20776, "loss": 0.34784, "time": 0.40248} +{"mode": "train", "epoch": 182, "iter": 114600, "lr": 2e-05, "memory": 22018, "data_time": 0.00676, "decode.loss_seg": 0.20294, "decode.acc_seg": 75.32491, "aux.loss_seg": 0.16604, "aux.acc_seg": 69.60499, "loss": 0.36897, "time": 0.40062} +{"mode": "train", "epoch": 182, "iter": 114650, "lr": 2e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.20156, "decode.acc_seg": 74.39757, "aux.loss_seg": 0.16479, "aux.acc_seg": 68.80856, "loss": 0.36634, "time": 0.40213} +{"mode": "train", "epoch": 182, "iter": 114700, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.20189, "decode.acc_seg": 74.79017, "aux.loss_seg": 0.16233, "aux.acc_seg": 69.31959, "loss": 0.36422, "time": 0.40115} +{"mode": "train", "epoch": 182, "iter": 114750, "lr": 2e-05, "memory": 22018, "data_time": 0.00718, "decode.loss_seg": 0.20256, "decode.acc_seg": 73.79492, "aux.loss_seg": 0.16704, "aux.acc_seg": 67.94575, "loss": 0.3696, "time": 0.40143} +{"mode": "train", "epoch": 182, "iter": 114800, "lr": 2e-05, "memory": 22018, "data_time": 0.00694, "decode.loss_seg": 0.20048, "decode.acc_seg": 74.73439, "aux.loss_seg": 0.16322, "aux.acc_seg": 69.11363, "loss": 0.3637, "time": 0.40136} +{"mode": "train", "epoch": 183, "iter": 114850, "lr": 2e-05, "memory": 22018, "data_time": 0.17487, "decode.loss_seg": 0.18981, "decode.acc_seg": 74.81098, "aux.loss_seg": 0.15642, "aux.acc_seg": 69.47565, "loss": 0.34623, "time": 0.56991} +{"mode": "train", "epoch": 183, "iter": 114900, "lr": 2e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.20154, "decode.acc_seg": 74.46997, "aux.loss_seg": 0.16647, "aux.acc_seg": 68.61694, "loss": 0.36801, "time": 0.40068} +{"mode": "train", "epoch": 183, "iter": 114950, "lr": 2e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.19237, "decode.acc_seg": 74.44536, "aux.loss_seg": 0.15651, "aux.acc_seg": 69.16954, "loss": 0.34888, "time": 0.40098} +{"mode": "train", "epoch": 183, "iter": 115000, "lr": 2e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.19285, "decode.acc_seg": 74.76329, "aux.loss_seg": 0.15991, "aux.acc_seg": 69.10242, "loss": 0.35276, "time": 0.40194} +{"mode": "train", "epoch": 183, "iter": 115050, "lr": 2e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.19489, "decode.acc_seg": 74.16064, "aux.loss_seg": 0.15984, "aux.acc_seg": 68.7149, "loss": 0.35473, "time": 0.40165} +{"mode": "train", "epoch": 183, "iter": 115100, "lr": 2e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.19585, "decode.acc_seg": 73.42107, "aux.loss_seg": 0.16019, "aux.acc_seg": 67.937, "loss": 0.35604, "time": 0.40249} +{"mode": "train", "epoch": 183, "iter": 115150, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.19753, "decode.acc_seg": 73.52797, "aux.loss_seg": 0.157, "aux.acc_seg": 68.27728, "loss": 0.35453, "time": 0.40345} +{"mode": "train", "epoch": 183, "iter": 115200, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.20017, "decode.acc_seg": 74.07391, "aux.loss_seg": 0.16438, "aux.acc_seg": 68.24977, "loss": 0.36456, "time": 0.40293} +{"mode": "train", "epoch": 183, "iter": 115250, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.19133, "decode.acc_seg": 73.97366, "aux.loss_seg": 0.15669, "aux.acc_seg": 68.47591, "loss": 0.34803, "time": 0.40289} +{"mode": "train", "epoch": 183, "iter": 115300, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20152, "decode.acc_seg": 73.91271, "aux.loss_seg": 0.16109, "aux.acc_seg": 68.4942, "loss": 0.36261, "time": 0.40264} +{"mode": "train", "epoch": 183, "iter": 115350, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.18928, "decode.acc_seg": 73.51871, "aux.loss_seg": 0.15271, "aux.acc_seg": 68.30576, "loss": 0.34199, "time": 0.40234} +{"mode": "train", "epoch": 183, "iter": 115400, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.20799, "decode.acc_seg": 75.22685, "aux.loss_seg": 0.17088, "aux.acc_seg": 69.22378, "loss": 0.37887, "time": 0.40225} +{"mode": "train", "epoch": 183, "iter": 115450, "lr": 2e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.19786, "decode.acc_seg": 73.96359, "aux.loss_seg": 0.15963, "aux.acc_seg": 68.45451, "loss": 0.3575, "time": 0.40169} +{"mode": "train", "epoch": 184, "iter": 115500, "lr": 2e-05, "memory": 22018, "data_time": 0.17241, "decode.loss_seg": 0.19365, "decode.acc_seg": 75.22526, "aux.loss_seg": 0.16072, "aux.acc_seg": 69.68421, "loss": 0.35437, "time": 0.56599} +{"mode": "train", "epoch": 184, "iter": 115550, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.1937, "decode.acc_seg": 73.92529, "aux.loss_seg": 0.15948, "aux.acc_seg": 68.25488, "loss": 0.35318, "time": 0.4011} +{"mode": "train", "epoch": 184, "iter": 115600, "lr": 2e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19374, "decode.acc_seg": 74.5435, "aux.loss_seg": 0.16073, "aux.acc_seg": 68.96093, "loss": 0.35447, "time": 0.40094} +{"mode": "train", "epoch": 184, "iter": 115650, "lr": 2e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.19172, "decode.acc_seg": 73.92157, "aux.loss_seg": 0.15629, "aux.acc_seg": 68.57681, "loss": 0.34801, "time": 0.40139} +{"mode": "train", "epoch": 184, "iter": 115700, "lr": 2e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.19126, "decode.acc_seg": 74.52272, "aux.loss_seg": 0.15574, "aux.acc_seg": 69.1565, "loss": 0.34701, "time": 0.40051} +{"mode": "train", "epoch": 184, "iter": 115750, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19185, "decode.acc_seg": 73.91924, "aux.loss_seg": 0.15662, "aux.acc_seg": 68.52227, "loss": 0.34848, "time": 0.40059} +{"mode": "train", "epoch": 184, "iter": 115800, "lr": 2e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.18877, "decode.acc_seg": 74.53818, "aux.loss_seg": 0.1583, "aux.acc_seg": 68.78521, "loss": 0.34707, "time": 0.40031} +{"mode": "train", "epoch": 184, "iter": 115850, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.19664, "decode.acc_seg": 73.62753, "aux.loss_seg": 0.16317, "aux.acc_seg": 67.99059, "loss": 0.35981, "time": 0.39985} +{"mode": "train", "epoch": 184, "iter": 115900, "lr": 2e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.19579, "decode.acc_seg": 73.8126, "aux.loss_seg": 0.15903, "aux.acc_seg": 68.42576, "loss": 0.35483, "time": 0.40033} +{"mode": "train", "epoch": 184, "iter": 115950, "lr": 2e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.19294, "decode.acc_seg": 74.52083, "aux.loss_seg": 0.15936, "aux.acc_seg": 68.79035, "loss": 0.3523, "time": 0.40035} +{"mode": "train", "epoch": 184, "iter": 116000, "lr": 2e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.20091, "decode.acc_seg": 73.72402, "aux.loss_seg": 0.16041, "aux.acc_seg": 68.33255, "loss": 0.36132, "time": 0.40178} +{"mode": "train", "epoch": 184, "iter": 116050, "lr": 2e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.19897, "decode.acc_seg": 74.71475, "aux.loss_seg": 0.16366, "aux.acc_seg": 69.01477, "loss": 0.36263, "time": 0.40013} +{"mode": "train", "epoch": 184, "iter": 116100, "lr": 2e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.19496, "decode.acc_seg": 74.63313, "aux.loss_seg": 0.15678, "aux.acc_seg": 69.42446, "loss": 0.35174, "time": 0.4008} +{"mode": "train", "epoch": 185, "iter": 116150, "lr": 2e-05, "memory": 22018, "data_time": 0.16517, "decode.loss_seg": 0.19319, "decode.acc_seg": 74.52774, "aux.loss_seg": 0.16053, "aux.acc_seg": 68.7726, "loss": 0.35373, "time": 0.55715} +{"mode": "train", "epoch": 185, "iter": 116200, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.1958, "decode.acc_seg": 74.0748, "aux.loss_seg": 0.15706, "aux.acc_seg": 68.73638, "loss": 0.35286, "time": 0.40087} +{"mode": "train", "epoch": 185, "iter": 116250, "lr": 2e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.19885, "decode.acc_seg": 73.81595, "aux.loss_seg": 0.16318, "aux.acc_seg": 68.09517, "loss": 0.36203, "time": 0.40353} +{"mode": "train", "epoch": 185, "iter": 116300, "lr": 2e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.20074, "decode.acc_seg": 73.80092, "aux.loss_seg": 0.16437, "aux.acc_seg": 68.102, "loss": 0.36511, "time": 0.40293} +{"mode": "train", "epoch": 185, "iter": 116350, "lr": 2e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.18818, "decode.acc_seg": 75.00026, "aux.loss_seg": 0.15857, "aux.acc_seg": 69.38874, "loss": 0.34675, "time": 0.40306} +{"mode": "train", "epoch": 185, "iter": 116400, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.19032, "decode.acc_seg": 73.53598, "aux.loss_seg": 0.15561, "aux.acc_seg": 68.21302, "loss": 0.34594, "time": 0.4033} +{"mode": "train", "epoch": 185, "iter": 116450, "lr": 2e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.1938, "decode.acc_seg": 74.7444, "aux.loss_seg": 0.15916, "aux.acc_seg": 69.13501, "loss": 0.35296, "time": 0.40212} +{"mode": "train", "epoch": 185, "iter": 116500, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.19309, "decode.acc_seg": 75.78235, "aux.loss_seg": 0.16311, "aux.acc_seg": 69.89218, "loss": 0.35619, "time": 0.40033} +{"mode": "train", "epoch": 185, "iter": 116550, "lr": 2e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.20457, "decode.acc_seg": 73.5533, "aux.loss_seg": 0.16706, "aux.acc_seg": 67.77284, "loss": 0.37163, "time": 0.40263} +{"mode": "train", "epoch": 185, "iter": 116600, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.19665, "decode.acc_seg": 73.96804, "aux.loss_seg": 0.15715, "aux.acc_seg": 68.46883, "loss": 0.3538, "time": 0.40288} +{"mode": "train", "epoch": 185, "iter": 116650, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.19919, "decode.acc_seg": 74.67011, "aux.loss_seg": 0.16512, "aux.acc_seg": 68.83334, "loss": 0.36431, "time": 0.4016} +{"mode": "train", "epoch": 185, "iter": 116700, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.19034, "decode.acc_seg": 74.24839, "aux.loss_seg": 0.1598, "aux.acc_seg": 68.62284, "loss": 0.35013, "time": 0.40144} +{"mode": "train", "epoch": 186, "iter": 116750, "lr": 2e-05, "memory": 22018, "data_time": 0.17207, "decode.loss_seg": 0.19883, "decode.acc_seg": 72.92486, "aux.loss_seg": 0.15827, "aux.acc_seg": 67.69527, "loss": 0.3571, "time": 0.56622} +{"mode": "train", "epoch": 186, "iter": 116800, "lr": 2e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.19276, "decode.acc_seg": 74.51455, "aux.loss_seg": 0.15974, "aux.acc_seg": 68.72539, "loss": 0.35251, "time": 0.40048} +{"mode": "train", "epoch": 186, "iter": 116850, "lr": 2e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.1962, "decode.acc_seg": 74.58044, "aux.loss_seg": 0.15829, "aux.acc_seg": 69.15107, "loss": 0.35449, "time": 0.40015} +{"mode": "train", "epoch": 186, "iter": 116900, "lr": 2e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.19059, "decode.acc_seg": 73.65156, "aux.loss_seg": 0.15665, "aux.acc_seg": 68.14604, "loss": 0.34725, "time": 0.40088} +{"mode": "train", "epoch": 186, "iter": 116950, "lr": 2e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.19218, "decode.acc_seg": 74.3658, "aux.loss_seg": 0.16054, "aux.acc_seg": 68.83651, "loss": 0.35273, "time": 0.40288} +{"mode": "train", "epoch": 186, "iter": 117000, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.19064, "decode.acc_seg": 74.61117, "aux.loss_seg": 0.15495, "aux.acc_seg": 69.2418, "loss": 0.3456, "time": 0.401} +{"mode": "train", "epoch": 186, "iter": 117050, "lr": 2e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.19696, "decode.acc_seg": 74.46991, "aux.loss_seg": 0.15926, "aux.acc_seg": 68.95983, "loss": 0.35621, "time": 0.40061} +{"mode": "train", "epoch": 186, "iter": 117100, "lr": 2e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.19428, "decode.acc_seg": 73.59905, "aux.loss_seg": 0.16093, "aux.acc_seg": 67.92655, "loss": 0.35522, "time": 0.4017} +{"mode": "train", "epoch": 186, "iter": 117150, "lr": 2e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.19732, "decode.acc_seg": 74.25757, "aux.loss_seg": 0.15836, "aux.acc_seg": 68.73329, "loss": 0.35568, "time": 0.40072} +{"mode": "train", "epoch": 186, "iter": 117200, "lr": 2e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.19091, "decode.acc_seg": 74.61313, "aux.loss_seg": 0.16095, "aux.acc_seg": 68.69712, "loss": 0.35186, "time": 0.40012} +{"mode": "train", "epoch": 186, "iter": 117250, "lr": 2e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.19052, "decode.acc_seg": 74.44316, "aux.loss_seg": 0.15921, "aux.acc_seg": 68.78097, "loss": 0.34973, "time": 0.40131} +{"mode": "train", "epoch": 186, "iter": 117300, "lr": 2e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.19813, "decode.acc_seg": 74.29939, "aux.loss_seg": 0.16454, "aux.acc_seg": 68.50677, "loss": 0.36267, "time": 0.40177} +{"mode": "train", "epoch": 186, "iter": 117350, "lr": 2e-05, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.19965, "decode.acc_seg": 73.75778, "aux.loss_seg": 0.16495, "aux.acc_seg": 67.88618, "loss": 0.36461, "time": 0.40174} +{"mode": "train", "epoch": 187, "iter": 117400, "lr": 2e-05, "memory": 22018, "data_time": 0.1701, "decode.loss_seg": 0.19446, "decode.acc_seg": 74.39496, "aux.loss_seg": 0.16263, "aux.acc_seg": 68.63855, "loss": 0.35709, "time": 0.56424} +{"mode": "train", "epoch": 187, "iter": 117450, "lr": 2e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18992, "decode.acc_seg": 75.17753, "aux.loss_seg": 0.15586, "aux.acc_seg": 69.62022, "loss": 0.34578, "time": 0.39959} +{"mode": "train", "epoch": 187, "iter": 117500, "lr": 2e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.18916, "decode.acc_seg": 74.49641, "aux.loss_seg": 0.16061, "aux.acc_seg": 68.65281, "loss": 0.34977, "time": 0.40183} +{"mode": "train", "epoch": 187, "iter": 117550, "lr": 2e-05, "memory": 22018, "data_time": 0.00689, "decode.loss_seg": 0.19307, "decode.acc_seg": 74.09897, "aux.loss_seg": 0.15785, "aux.acc_seg": 68.68627, "loss": 0.35092, "time": 0.40128} +{"mode": "train", "epoch": 187, "iter": 117600, "lr": 2e-05, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.1948, "decode.acc_seg": 74.46871, "aux.loss_seg": 0.16071, "aux.acc_seg": 68.75366, "loss": 0.35551, "time": 0.40194} +{"mode": "train", "epoch": 187, "iter": 117650, "lr": 2e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.18926, "decode.acc_seg": 73.05271, "aux.loss_seg": 0.15546, "aux.acc_seg": 67.63806, "loss": 0.34472, "time": 0.4015} +{"mode": "train", "epoch": 187, "iter": 117700, "lr": 2e-05, "memory": 22018, "data_time": 0.0069, "decode.loss_seg": 0.19305, "decode.acc_seg": 73.24804, "aux.loss_seg": 0.15909, "aux.acc_seg": 67.60831, "loss": 0.35215, "time": 0.40082} +{"mode": "train", "epoch": 187, "iter": 117750, "lr": 2e-05, "memory": 22018, "data_time": 0.00706, "decode.loss_seg": 0.19388, "decode.acc_seg": 74.02585, "aux.loss_seg": 0.16025, "aux.acc_seg": 68.33108, "loss": 0.35413, "time": 0.40073} +{"mode": "train", "epoch": 187, "iter": 117800, "lr": 2e-05, "memory": 22018, "data_time": 0.00709, "decode.loss_seg": 0.19529, "decode.acc_seg": 74.63461, "aux.loss_seg": 0.15471, "aux.acc_seg": 69.36366, "loss": 0.34999, "time": 0.40102} +{"mode": "train", "epoch": 187, "iter": 117850, "lr": 2e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18804, "decode.acc_seg": 74.12176, "aux.loss_seg": 0.15429, "aux.acc_seg": 68.73742, "loss": 0.34233, "time": 0.4014} +{"mode": "train", "epoch": 187, "iter": 117900, "lr": 2e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.19341, "decode.acc_seg": 74.04274, "aux.loss_seg": 0.15824, "aux.acc_seg": 68.54181, "loss": 0.35166, "time": 0.40064} +{"mode": "train", "epoch": 187, "iter": 117950, "lr": 2e-05, "memory": 22018, "data_time": 0.00718, "decode.loss_seg": 0.18829, "decode.acc_seg": 74.81402, "aux.loss_seg": 0.15595, "aux.acc_seg": 69.30372, "loss": 0.34425, "time": 0.39988} +{"mode": "train", "epoch": 188, "iter": 118000, "lr": 2e-05, "memory": 22018, "data_time": 0.16741, "decode.loss_seg": 0.19012, "decode.acc_seg": 74.38085, "aux.loss_seg": 0.16004, "aux.acc_seg": 68.68103, "loss": 0.35016, "time": 0.56114} +{"mode": "train", "epoch": 188, "iter": 118050, "lr": 2e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.18606, "decode.acc_seg": 73.07558, "aux.loss_seg": 0.1554, "aux.acc_seg": 67.60457, "loss": 0.34145, "time": 0.40174} +{"mode": "train", "epoch": 188, "iter": 118100, "lr": 2e-05, "memory": 22018, "data_time": 0.01045, "decode.loss_seg": 0.19396, "decode.acc_seg": 74.83453, "aux.loss_seg": 0.15954, "aux.acc_seg": 69.16451, "loss": 0.3535, "time": 0.40218} +{"mode": "train", "epoch": 188, "iter": 118150, "lr": 2e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.19276, "decode.acc_seg": 75.12532, "aux.loss_seg": 0.15937, "aux.acc_seg": 69.59722, "loss": 0.35213, "time": 0.40233} +{"mode": "train", "epoch": 188, "iter": 118200, "lr": 2e-05, "memory": 22018, "data_time": 0.01009, "decode.loss_seg": 0.19669, "decode.acc_seg": 73.55796, "aux.loss_seg": 0.15955, "aux.acc_seg": 68.02459, "loss": 0.35624, "time": 0.40268} +{"mode": "train", "epoch": 188, "iter": 118250, "lr": 2e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.19477, "decode.acc_seg": 75.06364, "aux.loss_seg": 0.16092, "aux.acc_seg": 69.49777, "loss": 0.3557, "time": 0.40258} +{"mode": "train", "epoch": 188, "iter": 118300, "lr": 2e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.1999, "decode.acc_seg": 74.58431, "aux.loss_seg": 0.16473, "aux.acc_seg": 68.82695, "loss": 0.36463, "time": 0.40162} +{"mode": "train", "epoch": 188, "iter": 118350, "lr": 2e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.18661, "decode.acc_seg": 73.98723, "aux.loss_seg": 0.15507, "aux.acc_seg": 68.55829, "loss": 0.34168, "time": 0.40329} +{"mode": "train", "epoch": 188, "iter": 118400, "lr": 2e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.1932, "decode.acc_seg": 73.9699, "aux.loss_seg": 0.16275, "aux.acc_seg": 68.09264, "loss": 0.35594, "time": 0.40276} +{"mode": "train", "epoch": 188, "iter": 118450, "lr": 2e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.1999, "decode.acc_seg": 75.26361, "aux.loss_seg": 0.16334, "aux.acc_seg": 69.5765, "loss": 0.36324, "time": 0.40206} +{"mode": "train", "epoch": 188, "iter": 118500, "lr": 2e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.18833, "decode.acc_seg": 74.68355, "aux.loss_seg": 0.15382, "aux.acc_seg": 69.3007, "loss": 0.34215, "time": 0.40263} +{"mode": "train", "epoch": 188, "iter": 118550, "lr": 2e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.19462, "decode.acc_seg": 75.48351, "aux.loss_seg": 0.16014, "aux.acc_seg": 69.90227, "loss": 0.35476, "time": 0.40382} +{"mode": "train", "epoch": 188, "iter": 118600, "lr": 2e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.19787, "decode.acc_seg": 74.62073, "aux.loss_seg": 0.15746, "aux.acc_seg": 69.37278, "loss": 0.35533, "time": 0.40358} +{"mode": "train", "epoch": 189, "iter": 118650, "lr": 2e-05, "memory": 22018, "data_time": 0.18637, "decode.loss_seg": 0.18984, "decode.acc_seg": 75.02834, "aux.loss_seg": 0.15255, "aux.acc_seg": 69.86433, "loss": 0.34239, "time": 0.579} +{"mode": "train", "epoch": 189, "iter": 118700, "lr": 2e-05, "memory": 22018, "data_time": 0.00677, "decode.loss_seg": 0.1901, "decode.acc_seg": 74.0889, "aux.loss_seg": 0.15917, "aux.acc_seg": 68.342, "loss": 0.34927, "time": 0.39877} +{"mode": "train", "epoch": 189, "iter": 118750, "lr": 2e-05, "memory": 22018, "data_time": 0.00678, "decode.loss_seg": 0.18433, "decode.acc_seg": 73.24023, "aux.loss_seg": 0.15592, "aux.acc_seg": 67.52787, "loss": 0.34024, "time": 0.39919} +{"mode": "train", "epoch": 189, "iter": 118800, "lr": 2e-05, "memory": 22018, "data_time": 0.00683, "decode.loss_seg": 0.19473, "decode.acc_seg": 74.71602, "aux.loss_seg": 0.16177, "aux.acc_seg": 69.08518, "loss": 0.3565, "time": 0.39897} +{"mode": "train", "epoch": 189, "iter": 118850, "lr": 2e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.18876, "decode.acc_seg": 75.79079, "aux.loss_seg": 0.15584, "aux.acc_seg": 70.0917, "loss": 0.34461, "time": 0.40034} +{"mode": "train", "epoch": 189, "iter": 118900, "lr": 2e-05, "memory": 22018, "data_time": 0.00675, "decode.loss_seg": 0.19119, "decode.acc_seg": 74.17461, "aux.loss_seg": 0.15735, "aux.acc_seg": 68.53826, "loss": 0.34854, "time": 0.39934} +{"mode": "train", "epoch": 189, "iter": 118950, "lr": 2e-05, "memory": 22018, "data_time": 0.00655, "decode.loss_seg": 0.19162, "decode.acc_seg": 74.07687, "aux.loss_seg": 0.16025, "aux.acc_seg": 68.29055, "loss": 0.35186, "time": 0.39895} +{"mode": "train", "epoch": 189, "iter": 119000, "lr": 2e-05, "memory": 22018, "data_time": 0.00663, "decode.loss_seg": 0.1913, "decode.acc_seg": 74.88393, "aux.loss_seg": 0.1622, "aux.acc_seg": 69.10852, "loss": 0.35349, "time": 0.39898} +{"mode": "train", "epoch": 189, "iter": 119050, "lr": 2e-05, "memory": 22018, "data_time": 0.00683, "decode.loss_seg": 0.1939, "decode.acc_seg": 74.08581, "aux.loss_seg": 0.15528, "aux.acc_seg": 68.81895, "loss": 0.34918, "time": 0.39867} +{"mode": "train", "epoch": 189, "iter": 119100, "lr": 2e-05, "memory": 22018, "data_time": 0.00642, "decode.loss_seg": 0.19004, "decode.acc_seg": 75.10461, "aux.loss_seg": 0.16006, "aux.acc_seg": 69.40859, "loss": 0.35009, "time": 0.39958} +{"mode": "train", "epoch": 189, "iter": 119150, "lr": 2e-05, "memory": 22018, "data_time": 0.00613, "decode.loss_seg": 0.19373, "decode.acc_seg": 74.7624, "aux.loss_seg": 0.15949, "aux.acc_seg": 69.11775, "loss": 0.35322, "time": 0.39837} +{"mode": "train", "epoch": 189, "iter": 119200, "lr": 2e-05, "memory": 22018, "data_time": 0.00633, "decode.loss_seg": 0.19124, "decode.acc_seg": 74.55164, "aux.loss_seg": 0.15846, "aux.acc_seg": 68.96663, "loss": 0.3497, "time": 0.39894} +{"mode": "train", "epoch": 189, "iter": 119250, "lr": 2e-05, "memory": 22018, "data_time": 0.00616, "decode.loss_seg": 0.19072, "decode.acc_seg": 73.98318, "aux.loss_seg": 0.15712, "aux.acc_seg": 68.39085, "loss": 0.34784, "time": 0.39802} +{"mode": "train", "epoch": 190, "iter": 119300, "lr": 2e-05, "memory": 22018, "data_time": 0.16588, "decode.loss_seg": 0.19235, "decode.acc_seg": 74.77595, "aux.loss_seg": 0.15889, "aux.acc_seg": 69.12556, "loss": 0.35124, "time": 0.55853} +{"mode": "train", "epoch": 190, "iter": 119350, "lr": 2e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.19943, "decode.acc_seg": 73.80222, "aux.loss_seg": 0.16438, "aux.acc_seg": 67.90519, "loss": 0.36381, "time": 0.39969} +{"mode": "train", "epoch": 190, "iter": 119400, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.19289, "decode.acc_seg": 73.99149, "aux.loss_seg": 0.15375, "aux.acc_seg": 68.66172, "loss": 0.34664, "time": 0.3997} +{"mode": "train", "epoch": 190, "iter": 119450, "lr": 2e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.18629, "decode.acc_seg": 73.39538, "aux.loss_seg": 0.15327, "aux.acc_seg": 68.14492, "loss": 0.33956, "time": 0.40195} +{"mode": "train", "epoch": 190, "iter": 119500, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.19064, "decode.acc_seg": 74.42149, "aux.loss_seg": 0.15523, "aux.acc_seg": 69.0978, "loss": 0.34587, "time": 0.40119} +{"mode": "train", "epoch": 190, "iter": 119550, "lr": 2e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.18757, "decode.acc_seg": 73.84139, "aux.loss_seg": 0.15332, "aux.acc_seg": 68.60004, "loss": 0.34089, "time": 0.40211} +{"mode": "train", "epoch": 190, "iter": 119600, "lr": 2e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.18898, "decode.acc_seg": 74.77913, "aux.loss_seg": 0.1525, "aux.acc_seg": 69.52146, "loss": 0.34148, "time": 0.40064} +{"mode": "train", "epoch": 190, "iter": 119650, "lr": 2e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.19111, "decode.acc_seg": 73.80497, "aux.loss_seg": 0.15975, "aux.acc_seg": 68.14331, "loss": 0.35086, "time": 0.40192} +{"mode": "train", "epoch": 190, "iter": 119700, "lr": 2e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.19533, "decode.acc_seg": 74.51577, "aux.loss_seg": 0.16212, "aux.acc_seg": 68.7663, "loss": 0.35744, "time": 0.40147} +{"mode": "train", "epoch": 190, "iter": 119750, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.19715, "decode.acc_seg": 73.97957, "aux.loss_seg": 0.16007, "aux.acc_seg": 68.3333, "loss": 0.35722, "time": 0.40147} +{"mode": "train", "epoch": 190, "iter": 119800, "lr": 2e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.18979, "decode.acc_seg": 74.57678, "aux.loss_seg": 0.15691, "aux.acc_seg": 69.11757, "loss": 0.3467, "time": 0.40138} +{"mode": "train", "epoch": 190, "iter": 119850, "lr": 2e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.19062, "decode.acc_seg": 73.84798, "aux.loss_seg": 0.15763, "aux.acc_seg": 68.22867, "loss": 0.34826, "time": 0.40198} +{"mode": "train", "epoch": 191, "iter": 119900, "lr": 2e-05, "memory": 22018, "data_time": 0.17836, "decode.loss_seg": 0.1975, "decode.acc_seg": 74.21251, "aux.loss_seg": 0.15648, "aux.acc_seg": 69.096, "loss": 0.35399, "time": 0.57262} +{"mode": "train", "epoch": 191, "iter": 119950, "lr": 2e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.19699, "decode.acc_seg": 74.49438, "aux.loss_seg": 0.15757, "aux.acc_seg": 69.08377, "loss": 0.35456, "time": 0.40209} +{"mode": "train", "epoch": 191, "iter": 120000, "lr": 2e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.19117, "decode.acc_seg": 74.35536, "aux.loss_seg": 0.15421, "aux.acc_seg": 69.15724, "loss": 0.34538, "time": 0.4036} +{"mode": "train", "epoch": 191, "iter": 120050, "lr": 1e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.18472, "decode.acc_seg": 75.78218, "aux.loss_seg": 0.15443, "aux.acc_seg": 70.34797, "loss": 0.33915, "time": 0.40249} +{"mode": "train", "epoch": 191, "iter": 120100, "lr": 1e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.19224, "decode.acc_seg": 74.85544, "aux.loss_seg": 0.15834, "aux.acc_seg": 69.45326, "loss": 0.35057, "time": 0.40342} +{"mode": "train", "epoch": 191, "iter": 120150, "lr": 1e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.19144, "decode.acc_seg": 75.63194, "aux.loss_seg": 0.15773, "aux.acc_seg": 70.14065, "loss": 0.34917, "time": 0.40248} +{"mode": "train", "epoch": 191, "iter": 120200, "lr": 1e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.18665, "decode.acc_seg": 74.05161, "aux.loss_seg": 0.15707, "aux.acc_seg": 68.55446, "loss": 0.34372, "time": 0.40373} +{"mode": "train", "epoch": 191, "iter": 120250, "lr": 1e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.19366, "decode.acc_seg": 73.35508, "aux.loss_seg": 0.15904, "aux.acc_seg": 67.66192, "loss": 0.3527, "time": 0.40364} +{"mode": "train", "epoch": 191, "iter": 120300, "lr": 1e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.20216, "decode.acc_seg": 74.70689, "aux.loss_seg": 0.16398, "aux.acc_seg": 69.02997, "loss": 0.36614, "time": 0.40522} +{"mode": "train", "epoch": 191, "iter": 120350, "lr": 1e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.19227, "decode.acc_seg": 74.37724, "aux.loss_seg": 0.15557, "aux.acc_seg": 69.08143, "loss": 0.34785, "time": 0.40523} +{"mode": "train", "epoch": 191, "iter": 120400, "lr": 1e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19626, "decode.acc_seg": 74.5455, "aux.loss_seg": 0.16229, "aux.acc_seg": 68.83299, "loss": 0.35855, "time": 0.40378} +{"mode": "train", "epoch": 191, "iter": 120450, "lr": 1e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.18829, "decode.acc_seg": 74.64107, "aux.loss_seg": 0.15903, "aux.acc_seg": 68.89082, "loss": 0.34732, "time": 0.40281} +{"mode": "train", "epoch": 191, "iter": 120500, "lr": 1e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.19854, "decode.acc_seg": 74.76173, "aux.loss_seg": 0.16156, "aux.acc_seg": 69.31049, "loss": 0.36011, "time": 0.40106} +{"mode": "train", "epoch": 192, "iter": 120550, "lr": 1e-05, "memory": 22018, "data_time": 0.16935, "decode.loss_seg": 0.19512, "decode.acc_seg": 73.60572, "aux.loss_seg": 0.15845, "aux.acc_seg": 68.22564, "loss": 0.35357, "time": 0.56488} +{"mode": "train", "epoch": 192, "iter": 120600, "lr": 1e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.19277, "decode.acc_seg": 74.57228, "aux.loss_seg": 0.15886, "aux.acc_seg": 69.05467, "loss": 0.35163, "time": 0.40228} +{"mode": "train", "epoch": 192, "iter": 120650, "lr": 1e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.19142, "decode.acc_seg": 74.06718, "aux.loss_seg": 0.16121, "aux.acc_seg": 68.24973, "loss": 0.35263, "time": 0.40247} +{"mode": "train", "epoch": 192, "iter": 120700, "lr": 1e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.19109, "decode.acc_seg": 74.19888, "aux.loss_seg": 0.16016, "aux.acc_seg": 68.24499, "loss": 0.35125, "time": 0.40305} +{"mode": "train", "epoch": 192, "iter": 120750, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.18893, "decode.acc_seg": 75.5752, "aux.loss_seg": 0.1571, "aux.acc_seg": 69.94221, "loss": 0.34603, "time": 0.40223} +{"mode": "train", "epoch": 192, "iter": 120800, "lr": 1e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.19311, "decode.acc_seg": 74.70552, "aux.loss_seg": 0.15881, "aux.acc_seg": 69.08082, "loss": 0.35192, "time": 0.40217} +{"mode": "train", "epoch": 192, "iter": 120850, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.19512, "decode.acc_seg": 74.40121, "aux.loss_seg": 0.1601, "aux.acc_seg": 68.83953, "loss": 0.35522, "time": 0.4015} +{"mode": "train", "epoch": 192, "iter": 120900, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18807, "decode.acc_seg": 74.37291, "aux.loss_seg": 0.15761, "aux.acc_seg": 68.96697, "loss": 0.34568, "time": 0.40097} +{"mode": "train", "epoch": 192, "iter": 120950, "lr": 1e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.18256, "decode.acc_seg": 74.10024, "aux.loss_seg": 0.15174, "aux.acc_seg": 68.65314, "loss": 0.3343, "time": 0.40374} +{"mode": "train", "epoch": 192, "iter": 121000, "lr": 1e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.19378, "decode.acc_seg": 74.0941, "aux.loss_seg": 0.16735, "aux.acc_seg": 68.00658, "loss": 0.36114, "time": 0.40274} +{"mode": "train", "epoch": 192, "iter": 121050, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18874, "decode.acc_seg": 75.32126, "aux.loss_seg": 0.15719, "aux.acc_seg": 69.70743, "loss": 0.34593, "time": 0.40068} +{"mode": "train", "epoch": 192, "iter": 121100, "lr": 1e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.19488, "decode.acc_seg": 74.55787, "aux.loss_seg": 0.15715, "aux.acc_seg": 69.21113, "loss": 0.35203, "time": 0.40047} +{"mode": "train", "epoch": 192, "iter": 121150, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18519, "decode.acc_seg": 73.7822, "aux.loss_seg": 0.15075, "aux.acc_seg": 68.64948, "loss": 0.33594, "time": 0.40171} +{"mode": "train", "epoch": 193, "iter": 121200, "lr": 1e-05, "memory": 22018, "data_time": 0.17686, "decode.loss_seg": 0.19762, "decode.acc_seg": 75.01729, "aux.loss_seg": 0.16125, "aux.acc_seg": 69.44736, "loss": 0.35887, "time": 0.56975} +{"mode": "train", "epoch": 193, "iter": 121250, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.19227, "decode.acc_seg": 75.08414, "aux.loss_seg": 0.16317, "aux.acc_seg": 69.175, "loss": 0.35544, "time": 0.40041} +{"mode": "train", "epoch": 193, "iter": 121300, "lr": 1e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.17938, "decode.acc_seg": 74.5509, "aux.loss_seg": 0.14807, "aux.acc_seg": 69.34235, "loss": 0.32744, "time": 0.40027} +{"mode": "train", "epoch": 193, "iter": 121350, "lr": 1e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.19108, "decode.acc_seg": 73.60509, "aux.loss_seg": 0.15698, "aux.acc_seg": 68.12944, "loss": 0.34807, "time": 0.40221} +{"mode": "train", "epoch": 193, "iter": 121400, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.18979, "decode.acc_seg": 74.27285, "aux.loss_seg": 0.15726, "aux.acc_seg": 68.65312, "loss": 0.34705, "time": 0.40105} +{"mode": "train", "epoch": 193, "iter": 121450, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.19035, "decode.acc_seg": 74.56969, "aux.loss_seg": 0.15619, "aux.acc_seg": 69.11307, "loss": 0.34653, "time": 0.40157} +{"mode": "train", "epoch": 193, "iter": 121500, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18497, "decode.acc_seg": 75.25091, "aux.loss_seg": 0.15486, "aux.acc_seg": 69.67742, "loss": 0.33983, "time": 0.40164} +{"mode": "train", "epoch": 193, "iter": 121550, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18608, "decode.acc_seg": 73.24789, "aux.loss_seg": 0.15464, "aux.acc_seg": 67.92351, "loss": 0.34071, "time": 0.40164} +{"mode": "train", "epoch": 193, "iter": 121600, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.18911, "decode.acc_seg": 75.57614, "aux.loss_seg": 0.16022, "aux.acc_seg": 69.75712, "loss": 0.34933, "time": 0.40253} +{"mode": "train", "epoch": 193, "iter": 121650, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.18907, "decode.acc_seg": 73.99248, "aux.loss_seg": 0.15288, "aux.acc_seg": 68.63675, "loss": 0.34196, "time": 0.40221} +{"mode": "train", "epoch": 193, "iter": 121700, "lr": 1e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.19469, "decode.acc_seg": 74.51656, "aux.loss_seg": 0.16429, "aux.acc_seg": 68.63629, "loss": 0.35898, "time": 0.40222} +{"mode": "train", "epoch": 193, "iter": 121750, "lr": 1e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.18977, "decode.acc_seg": 74.48011, "aux.loss_seg": 0.15662, "aux.acc_seg": 69.11355, "loss": 0.34639, "time": 0.40179} +{"mode": "train", "epoch": 194, "iter": 121800, "lr": 1e-05, "memory": 22018, "data_time": 0.18137, "decode.loss_seg": 0.18766, "decode.acc_seg": 74.75034, "aux.loss_seg": 0.1525, "aux.acc_seg": 69.32247, "loss": 0.34016, "time": 0.57575} +{"mode": "train", "epoch": 194, "iter": 121850, "lr": 1e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.18344, "decode.acc_seg": 74.9016, "aux.loss_seg": 0.15458, "aux.acc_seg": 69.44539, "loss": 0.33802, "time": 0.40244} +{"mode": "train", "epoch": 194, "iter": 121900, "lr": 1e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.19194, "decode.acc_seg": 73.85099, "aux.loss_seg": 0.15666, "aux.acc_seg": 68.45518, "loss": 0.3486, "time": 0.40254} +{"mode": "train", "epoch": 194, "iter": 121950, "lr": 1e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.19561, "decode.acc_seg": 75.55842, "aux.loss_seg": 0.16124, "aux.acc_seg": 69.94931, "loss": 0.35685, "time": 0.40347} +{"mode": "train", "epoch": 194, "iter": 122000, "lr": 1e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.19013, "decode.acc_seg": 75.53237, "aux.loss_seg": 0.15732, "aux.acc_seg": 69.9192, "loss": 0.34744, "time": 0.40259} +{"mode": "train", "epoch": 194, "iter": 122050, "lr": 1e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.19738, "decode.acc_seg": 75.47003, "aux.loss_seg": 0.1605, "aux.acc_seg": 69.92004, "loss": 0.35789, "time": 0.40424} +{"mode": "train", "epoch": 194, "iter": 122100, "lr": 1e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.18766, "decode.acc_seg": 74.00507, "aux.loss_seg": 0.15643, "aux.acc_seg": 68.45512, "loss": 0.34408, "time": 0.40521} +{"mode": "train", "epoch": 194, "iter": 122150, "lr": 1e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.18594, "decode.acc_seg": 74.63465, "aux.loss_seg": 0.15589, "aux.acc_seg": 69.20626, "loss": 0.34183, "time": 0.40318} +{"mode": "train", "epoch": 194, "iter": 122200, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.1891, "decode.acc_seg": 74.54687, "aux.loss_seg": 0.15392, "aux.acc_seg": 69.33577, "loss": 0.34302, "time": 0.40383} +{"mode": "train", "epoch": 194, "iter": 122250, "lr": 1e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.19824, "decode.acc_seg": 75.07256, "aux.loss_seg": 0.16118, "aux.acc_seg": 69.56858, "loss": 0.35942, "time": 0.40315} +{"mode": "train", "epoch": 194, "iter": 122300, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.19015, "decode.acc_seg": 73.94531, "aux.loss_seg": 0.16202, "aux.acc_seg": 68.07682, "loss": 0.35217, "time": 0.40188} +{"mode": "train", "epoch": 194, "iter": 122350, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.18944, "decode.acc_seg": 74.78815, "aux.loss_seg": 0.1608, "aux.acc_seg": 68.92472, "loss": 0.35024, "time": 0.40389} +{"mode": "train", "epoch": 194, "iter": 122400, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.18918, "decode.acc_seg": 73.80735, "aux.loss_seg": 0.15814, "aux.acc_seg": 68.27419, "loss": 0.34732, "time": 0.40427} +{"mode": "train", "epoch": 195, "iter": 122450, "lr": 1e-05, "memory": 22018, "data_time": 0.17727, "decode.loss_seg": 0.18414, "decode.acc_seg": 75.08675, "aux.loss_seg": 0.15584, "aux.acc_seg": 69.61882, "loss": 0.33998, "time": 0.57122} +{"mode": "train", "epoch": 195, "iter": 122500, "lr": 1e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.18499, "decode.acc_seg": 74.83928, "aux.loss_seg": 0.15121, "aux.acc_seg": 69.58745, "loss": 0.3362, "time": 0.40234} +{"mode": "train", "epoch": 195, "iter": 122550, "lr": 1e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.19462, "decode.acc_seg": 74.4899, "aux.loss_seg": 0.15822, "aux.acc_seg": 69.08145, "loss": 0.35285, "time": 0.40136} +{"mode": "train", "epoch": 195, "iter": 122600, "lr": 1e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.19148, "decode.acc_seg": 74.44615, "aux.loss_seg": 0.15638, "aux.acc_seg": 68.9858, "loss": 0.34786, "time": 0.403} +{"mode": "train", "epoch": 195, "iter": 122650, "lr": 1e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.18819, "decode.acc_seg": 74.41565, "aux.loss_seg": 0.15764, "aux.acc_seg": 68.88319, "loss": 0.34583, "time": 0.40213} +{"mode": "train", "epoch": 195, "iter": 122700, "lr": 1e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.19604, "decode.acc_seg": 74.97564, "aux.loss_seg": 0.15953, "aux.acc_seg": 69.51227, "loss": 0.35557, "time": 0.40135} +{"mode": "train", "epoch": 195, "iter": 122750, "lr": 1e-05, "memory": 22018, "data_time": 0.00758, "decode.loss_seg": 0.18396, "decode.acc_seg": 73.95587, "aux.loss_seg": 0.15402, "aux.acc_seg": 68.30617, "loss": 0.33798, "time": 0.40285} +{"mode": "train", "epoch": 195, "iter": 122800, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.1959, "decode.acc_seg": 73.4749, "aux.loss_seg": 0.15814, "aux.acc_seg": 68.11241, "loss": 0.35404, "time": 0.40233} +{"mode": "train", "epoch": 195, "iter": 122850, "lr": 1e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.18159, "decode.acc_seg": 74.97331, "aux.loss_seg": 0.15148, "aux.acc_seg": 69.58512, "loss": 0.33307, "time": 0.40133} +{"mode": "train", "epoch": 195, "iter": 122900, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.18955, "decode.acc_seg": 74.16103, "aux.loss_seg": 0.15158, "aux.acc_seg": 68.88171, "loss": 0.34114, "time": 0.40132} +{"mode": "train", "epoch": 195, "iter": 122950, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.19306, "decode.acc_seg": 74.54117, "aux.loss_seg": 0.16014, "aux.acc_seg": 68.84976, "loss": 0.3532, "time": 0.40197} +{"mode": "train", "epoch": 195, "iter": 123000, "lr": 1e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.19012, "decode.acc_seg": 74.43339, "aux.loss_seg": 0.16094, "aux.acc_seg": 68.68684, "loss": 0.35106, "time": 0.40297} +{"mode": "train", "epoch": 196, "iter": 123050, "lr": 1e-05, "memory": 22018, "data_time": 0.17799, "decode.loss_seg": 0.18425, "decode.acc_seg": 74.36241, "aux.loss_seg": 0.15076, "aux.acc_seg": 69.00179, "loss": 0.33501, "time": 0.57121} +{"mode": "train", "epoch": 196, "iter": 123100, "lr": 1e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.18715, "decode.acc_seg": 74.95221, "aux.loss_seg": 0.15577, "aux.acc_seg": 69.51181, "loss": 0.34292, "time": 0.40219} +{"mode": "train", "epoch": 196, "iter": 123150, "lr": 1e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.18471, "decode.acc_seg": 73.98456, "aux.loss_seg": 0.15298, "aux.acc_seg": 68.59256, "loss": 0.33769, "time": 0.40148} +{"mode": "train", "epoch": 196, "iter": 123200, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.1907, "decode.acc_seg": 75.13064, "aux.loss_seg": 0.15463, "aux.acc_seg": 69.85153, "loss": 0.34532, "time": 0.40245} +{"mode": "train", "epoch": 196, "iter": 123250, "lr": 1e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.19528, "decode.acc_seg": 74.31739, "aux.loss_seg": 0.15709, "aux.acc_seg": 69.01607, "loss": 0.35237, "time": 0.40297} +{"mode": "train", "epoch": 196, "iter": 123300, "lr": 1e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.18669, "decode.acc_seg": 75.49561, "aux.loss_seg": 0.15432, "aux.acc_seg": 69.87452, "loss": 0.34101, "time": 0.40208} +{"mode": "train", "epoch": 196, "iter": 123350, "lr": 1e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.19132, "decode.acc_seg": 74.18126, "aux.loss_seg": 0.16118, "aux.acc_seg": 68.41949, "loss": 0.3525, "time": 0.40409} +{"mode": "train", "epoch": 196, "iter": 123400, "lr": 1e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.1865, "decode.acc_seg": 73.57484, "aux.loss_seg": 0.15427, "aux.acc_seg": 68.08508, "loss": 0.34078, "time": 0.40334} +{"mode": "train", "epoch": 196, "iter": 123450, "lr": 1e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.19507, "decode.acc_seg": 74.15497, "aux.loss_seg": 0.1618, "aux.acc_seg": 68.45137, "loss": 0.35687, "time": 0.40468} +{"mode": "train", "epoch": 196, "iter": 123500, "lr": 1e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.18829, "decode.acc_seg": 73.74036, "aux.loss_seg": 0.15558, "aux.acc_seg": 68.22438, "loss": 0.34387, "time": 0.40466} +{"mode": "train", "epoch": 196, "iter": 123550, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.19289, "decode.acc_seg": 74.83326, "aux.loss_seg": 0.16155, "aux.acc_seg": 69.24052, "loss": 0.35444, "time": 0.40326} +{"mode": "train", "epoch": 196, "iter": 123600, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18513, "decode.acc_seg": 73.37812, "aux.loss_seg": 0.15441, "aux.acc_seg": 67.79081, "loss": 0.33954, "time": 0.40395} +{"mode": "train", "epoch": 196, "iter": 123650, "lr": 1e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.18902, "decode.acc_seg": 73.95156, "aux.loss_seg": 0.15805, "aux.acc_seg": 68.32295, "loss": 0.34706, "time": 0.40478} +{"mode": "train", "epoch": 197, "iter": 123700, "lr": 1e-05, "memory": 22018, "data_time": 0.17832, "decode.loss_seg": 0.18945, "decode.acc_seg": 74.90487, "aux.loss_seg": 0.15823, "aux.acc_seg": 69.0699, "loss": 0.34768, "time": 0.57192} +{"mode": "train", "epoch": 197, "iter": 123750, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.19267, "decode.acc_seg": 74.35684, "aux.loss_seg": 0.16195, "aux.acc_seg": 68.47406, "loss": 0.35461, "time": 0.4013} +{"mode": "train", "epoch": 197, "iter": 123800, "lr": 1e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.1952, "decode.acc_seg": 74.54604, "aux.loss_seg": 0.15613, "aux.acc_seg": 69.32352, "loss": 0.35133, "time": 0.40176} +{"mode": "train", "epoch": 197, "iter": 123850, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.18776, "decode.acc_seg": 73.87562, "aux.loss_seg": 0.15767, "aux.acc_seg": 68.28575, "loss": 0.34543, "time": 0.40184} +{"mode": "train", "epoch": 197, "iter": 123900, "lr": 1e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.1867, "decode.acc_seg": 74.52484, "aux.loss_seg": 0.15588, "aux.acc_seg": 69.05539, "loss": 0.34258, "time": 0.40086} +{"mode": "train", "epoch": 197, "iter": 123950, "lr": 1e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.18347, "decode.acc_seg": 75.11532, "aux.loss_seg": 0.151, "aux.acc_seg": 69.77498, "loss": 0.33446, "time": 0.40138} +{"mode": "train", "epoch": 197, "iter": 124000, "lr": 1e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.17956, "decode.acc_seg": 74.37533, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.08506, "loss": 0.32932, "time": 0.40195} +{"mode": "train", "epoch": 197, "iter": 124050, "lr": 1e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.18162, "decode.acc_seg": 75.42655, "aux.loss_seg": 0.15281, "aux.acc_seg": 69.88298, "loss": 0.33443, "time": 0.40324} +{"mode": "train", "epoch": 197, "iter": 124100, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18354, "decode.acc_seg": 73.50727, "aux.loss_seg": 0.14987, "aux.acc_seg": 68.2231, "loss": 0.33341, "time": 0.40158} +{"mode": "train", "epoch": 197, "iter": 124150, "lr": 1e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.19094, "decode.acc_seg": 74.87888, "aux.loss_seg": 0.15716, "aux.acc_seg": 69.38995, "loss": 0.3481, "time": 0.40253} +{"mode": "train", "epoch": 197, "iter": 124200, "lr": 1e-05, "memory": 22018, "data_time": 0.00757, "decode.loss_seg": 0.18976, "decode.acc_seg": 74.0644, "aux.loss_seg": 0.15797, "aux.acc_seg": 68.53445, "loss": 0.34773, "time": 0.40242} +{"mode": "train", "epoch": 197, "iter": 124250, "lr": 1e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.19349, "decode.acc_seg": 75.19334, "aux.loss_seg": 0.15911, "aux.acc_seg": 69.62603, "loss": 0.3526, "time": 0.40208} +{"mode": "train", "epoch": 197, "iter": 124300, "lr": 1e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.18337, "decode.acc_seg": 75.23747, "aux.loss_seg": 0.15769, "aux.acc_seg": 69.35815, "loss": 0.34106, "time": 0.40357} +{"mode": "train", "epoch": 198, "iter": 124350, "lr": 1e-05, "memory": 22018, "data_time": 0.17362, "decode.loss_seg": 0.18283, "decode.acc_seg": 74.59913, "aux.loss_seg": 0.15265, "aux.acc_seg": 69.1171, "loss": 0.33548, "time": 0.56717} +{"mode": "train", "epoch": 198, "iter": 124400, "lr": 1e-05, "memory": 22018, "data_time": 0.00696, "decode.loss_seg": 0.19487, "decode.acc_seg": 75.10328, "aux.loss_seg": 0.1595, "aux.acc_seg": 69.51293, "loss": 0.35436, "time": 0.40016} +{"mode": "train", "epoch": 198, "iter": 124450, "lr": 1e-05, "memory": 22018, "data_time": 0.00646, "decode.loss_seg": 0.18374, "decode.acc_seg": 74.90049, "aux.loss_seg": 0.15593, "aux.acc_seg": 69.23029, "loss": 0.33967, "time": 0.40113} +{"mode": "train", "epoch": 198, "iter": 124500, "lr": 1e-05, "memory": 22018, "data_time": 0.00651, "decode.loss_seg": 0.18848, "decode.acc_seg": 73.86656, "aux.loss_seg": 0.15576, "aux.acc_seg": 68.45555, "loss": 0.34424, "time": 0.4022} +{"mode": "train", "epoch": 198, "iter": 124550, "lr": 1e-05, "memory": 22018, "data_time": 0.00654, "decode.loss_seg": 0.18673, "decode.acc_seg": 75.51144, "aux.loss_seg": 0.15593, "aux.acc_seg": 69.91838, "loss": 0.34266, "time": 0.40151} +{"mode": "train", "epoch": 198, "iter": 124600, "lr": 1e-05, "memory": 22018, "data_time": 0.00665, "decode.loss_seg": 0.19728, "decode.acc_seg": 73.45273, "aux.loss_seg": 0.16108, "aux.acc_seg": 67.77814, "loss": 0.35836, "time": 0.40104} +{"mode": "train", "epoch": 198, "iter": 124650, "lr": 1e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.19355, "decode.acc_seg": 74.77291, "aux.loss_seg": 0.16134, "aux.acc_seg": 69.16885, "loss": 0.35489, "time": 0.4009} +{"mode": "train", "epoch": 198, "iter": 124700, "lr": 1e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.18693, "decode.acc_seg": 74.77092, "aux.loss_seg": 0.15436, "aux.acc_seg": 69.35568, "loss": 0.34128, "time": 0.40104} +{"mode": "train", "epoch": 198, "iter": 124750, "lr": 1e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.19299, "decode.acc_seg": 74.65963, "aux.loss_seg": 0.15853, "aux.acc_seg": 68.9353, "loss": 0.35152, "time": 0.40132} +{"mode": "train", "epoch": 198, "iter": 124800, "lr": 1e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.18998, "decode.acc_seg": 74.26951, "aux.loss_seg": 0.16232, "aux.acc_seg": 68.37078, "loss": 0.3523, "time": 0.40149} +{"mode": "train", "epoch": 198, "iter": 124850, "lr": 1e-05, "memory": 22018, "data_time": 0.00703, "decode.loss_seg": 0.18518, "decode.acc_seg": 73.19336, "aux.loss_seg": 0.15673, "aux.acc_seg": 67.44332, "loss": 0.34192, "time": 0.40186} +{"mode": "train", "epoch": 198, "iter": 124900, "lr": 1e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.18307, "decode.acc_seg": 73.65003, "aux.loss_seg": 0.15039, "aux.acc_seg": 68.27755, "loss": 0.33346, "time": 0.40308} +{"mode": "train", "epoch": 199, "iter": 124950, "lr": 1e-05, "memory": 22018, "data_time": 0.18908, "decode.loss_seg": 0.19306, "decode.acc_seg": 74.71513, "aux.loss_seg": 0.15602, "aux.acc_seg": 69.30102, "loss": 0.34907, "time": 0.58423} +{"mode": "train", "epoch": 199, "iter": 125000, "lr": 1e-05, "memory": 22018, "data_time": 0.00698, "decode.loss_seg": 0.18493, "decode.acc_seg": 74.98235, "aux.loss_seg": 0.15317, "aux.acc_seg": 69.52817, "loss": 0.3381, "time": 0.40029} +{"mode": "train", "epoch": 199, "iter": 125050, "lr": 1e-05, "memory": 22018, "data_time": 0.007, "decode.loss_seg": 0.18085, "decode.acc_seg": 74.13234, "aux.loss_seg": 0.14824, "aux.acc_seg": 68.95789, "loss": 0.32909, "time": 0.4004} +{"mode": "train", "epoch": 199, "iter": 125100, "lr": 1e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.19329, "decode.acc_seg": 73.78772, "aux.loss_seg": 0.1579, "aux.acc_seg": 68.37033, "loss": 0.35119, "time": 0.40148} +{"mode": "train", "epoch": 199, "iter": 125150, "lr": 1e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.18385, "decode.acc_seg": 75.06545, "aux.loss_seg": 0.15427, "aux.acc_seg": 69.57353, "loss": 0.33812, "time": 0.4021} +{"mode": "train", "epoch": 199, "iter": 125200, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.18577, "decode.acc_seg": 74.33199, "aux.loss_seg": 0.1552, "aux.acc_seg": 68.78869, "loss": 0.34097, "time": 0.40211} +{"mode": "train", "epoch": 199, "iter": 125250, "lr": 1e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.18885, "decode.acc_seg": 74.02189, "aux.loss_seg": 0.15087, "aux.acc_seg": 68.87241, "loss": 0.33972, "time": 0.40143} +{"mode": "train", "epoch": 199, "iter": 125300, "lr": 1e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.18578, "decode.acc_seg": 74.65964, "aux.loss_seg": 0.15434, "aux.acc_seg": 69.24705, "loss": 0.34012, "time": 0.40206} +{"mode": "train", "epoch": 199, "iter": 125350, "lr": 1e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.19212, "decode.acc_seg": 73.33674, "aux.loss_seg": 0.15459, "aux.acc_seg": 68.10011, "loss": 0.34671, "time": 0.4028} +{"mode": "train", "epoch": 199, "iter": 125400, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18964, "decode.acc_seg": 73.96234, "aux.loss_seg": 0.16084, "aux.acc_seg": 68.12982, "loss": 0.35048, "time": 0.40226} +{"mode": "train", "epoch": 199, "iter": 125450, "lr": 1e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.18105, "decode.acc_seg": 74.71133, "aux.loss_seg": 0.14846, "aux.acc_seg": 69.44039, "loss": 0.32952, "time": 0.40219} +{"mode": "train", "epoch": 199, "iter": 125500, "lr": 1e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.18829, "decode.acc_seg": 73.6624, "aux.loss_seg": 0.1569, "aux.acc_seg": 68.09423, "loss": 0.34519, "time": 0.40202} +{"mode": "train", "epoch": 199, "iter": 125550, "lr": 1e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.18763, "decode.acc_seg": 74.74892, "aux.loss_seg": 0.15922, "aux.acc_seg": 68.94729, "loss": 0.34685, "time": 0.40221} +{"mode": "train", "epoch": 200, "iter": 125600, "lr": 1e-05, "memory": 22018, "data_time": 0.16739, "decode.loss_seg": 0.18722, "decode.acc_seg": 74.73604, "aux.loss_seg": 0.15458, "aux.acc_seg": 69.34353, "loss": 0.34181, "time": 0.56185} +{"mode": "train", "epoch": 200, "iter": 125650, "lr": 1e-05, "memory": 22018, "data_time": 0.007, "decode.loss_seg": 0.19094, "decode.acc_seg": 74.14645, "aux.loss_seg": 0.15854, "aux.acc_seg": 68.54542, "loss": 0.34948, "time": 0.40191} +{"mode": "train", "epoch": 200, "iter": 125700, "lr": 1e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.18819, "decode.acc_seg": 74.21705, "aux.loss_seg": 0.15535, "aux.acc_seg": 68.67013, "loss": 0.34354, "time": 0.40155} +{"mode": "train", "epoch": 200, "iter": 125750, "lr": 1e-05, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.18707, "decode.acc_seg": 74.90993, "aux.loss_seg": 0.15775, "aux.acc_seg": 69.25083, "loss": 0.34481, "time": 0.40216} +{"mode": "train", "epoch": 200, "iter": 125800, "lr": 1e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.19056, "decode.acc_seg": 74.26792, "aux.loss_seg": 0.15554, "aux.acc_seg": 68.74624, "loss": 0.3461, "time": 0.40205} +{"mode": "train", "epoch": 200, "iter": 125850, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18769, "decode.acc_seg": 74.47814, "aux.loss_seg": 0.15233, "aux.acc_seg": 69.1765, "loss": 0.34002, "time": 0.40211} +{"mode": "train", "epoch": 200, "iter": 125900, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.191, "decode.acc_seg": 74.86401, "aux.loss_seg": 0.15505, "aux.acc_seg": 69.41241, "loss": 0.34605, "time": 0.40135} +{"mode": "train", "epoch": 200, "iter": 125950, "lr": 1e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18558, "decode.acc_seg": 73.52282, "aux.loss_seg": 0.15559, "aux.acc_seg": 67.90672, "loss": 0.34117, "time": 0.40131} +{"mode": "train", "epoch": 200, "iter": 126000, "lr": 1e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.18875, "decode.acc_seg": 75.87707, "aux.loss_seg": 0.15778, "aux.acc_seg": 70.24333, "loss": 0.34653, "time": 0.40033} +{"mode": "train", "epoch": 200, "iter": 126050, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.18439, "decode.acc_seg": 74.76722, "aux.loss_seg": 0.15577, "aux.acc_seg": 69.1329, "loss": 0.34016, "time": 0.40128} +{"mode": "train", "epoch": 200, "iter": 126100, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.18466, "decode.acc_seg": 73.27745, "aux.loss_seg": 0.15209, "aux.acc_seg": 68.03385, "loss": 0.33675, "time": 0.40219} +{"mode": "train", "epoch": 200, "iter": 126150, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.18758, "decode.acc_seg": 74.15258, "aux.loss_seg": 0.15759, "aux.acc_seg": 68.50538, "loss": 0.34518, "time": 0.40295} +{"mode": "train", "epoch": 200, "iter": 126200, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.19284, "decode.acc_seg": 72.92991, "aux.loss_seg": 0.15697, "aux.acc_seg": 67.41898, "loss": 0.34981, "time": 0.40176} +{"mode": "train", "epoch": 201, "iter": 126250, "lr": 1e-05, "memory": 22018, "data_time": 0.17729, "decode.loss_seg": 0.18744, "decode.acc_seg": 74.33655, "aux.loss_seg": 0.15504, "aux.acc_seg": 68.84697, "loss": 0.34248, "time": 0.57166} +{"mode": "train", "epoch": 201, "iter": 126300, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.19013, "decode.acc_seg": 74.36471, "aux.loss_seg": 0.15789, "aux.acc_seg": 68.70242, "loss": 0.34802, "time": 0.40158} +{"mode": "train", "epoch": 201, "iter": 126350, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18818, "decode.acc_seg": 73.70687, "aux.loss_seg": 0.15549, "aux.acc_seg": 68.08488, "loss": 0.34367, "time": 0.40208} +{"mode": "train", "epoch": 201, "iter": 126400, "lr": 1e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.18249, "decode.acc_seg": 74.06298, "aux.loss_seg": 0.15315, "aux.acc_seg": 68.58499, "loss": 0.33564, "time": 0.4027} +{"mode": "train", "epoch": 201, "iter": 126450, "lr": 1e-05, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.1801, "decode.acc_seg": 75.13483, "aux.loss_seg": 0.15185, "aux.acc_seg": 69.71074, "loss": 0.33195, "time": 0.40187} +{"mode": "train", "epoch": 201, "iter": 126500, "lr": 1e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.18633, "decode.acc_seg": 74.36202, "aux.loss_seg": 0.15902, "aux.acc_seg": 68.71899, "loss": 0.34536, "time": 0.40178} +{"mode": "train", "epoch": 201, "iter": 126550, "lr": 1e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.19126, "decode.acc_seg": 73.92698, "aux.loss_seg": 0.16165, "aux.acc_seg": 68.13109, "loss": 0.35291, "time": 0.40202} +{"mode": "train", "epoch": 201, "iter": 126600, "lr": 1e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.18303, "decode.acc_seg": 74.62839, "aux.loss_seg": 0.15135, "aux.acc_seg": 69.35579, "loss": 0.33438, "time": 0.40207} +{"mode": "train", "epoch": 201, "iter": 126650, "lr": 1e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.18158, "decode.acc_seg": 74.95136, "aux.loss_seg": 0.15218, "aux.acc_seg": 69.43965, "loss": 0.33376, "time": 0.40188} +{"mode": "train", "epoch": 201, "iter": 126700, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.19061, "decode.acc_seg": 75.59539, "aux.loss_seg": 0.15812, "aux.acc_seg": 70.05387, "loss": 0.34874, "time": 0.40051} +{"mode": "train", "epoch": 201, "iter": 126750, "lr": 1e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.19026, "decode.acc_seg": 73.62346, "aux.loss_seg": 0.15482, "aux.acc_seg": 68.30972, "loss": 0.34507, "time": 0.40304} +{"mode": "train", "epoch": 201, "iter": 126800, "lr": 1e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.18173, "decode.acc_seg": 74.5539, "aux.loss_seg": 0.15345, "aux.acc_seg": 69.06704, "loss": 0.33518, "time": 0.40113} +{"mode": "train", "epoch": 202, "iter": 126850, "lr": 1e-05, "memory": 22018, "data_time": 0.17482, "decode.loss_seg": 0.18865, "decode.acc_seg": 74.48056, "aux.loss_seg": 0.15965, "aux.acc_seg": 68.76222, "loss": 0.3483, "time": 0.57123} +{"mode": "train", "epoch": 202, "iter": 126900, "lr": 1e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.1919, "decode.acc_seg": 75.62063, "aux.loss_seg": 0.15594, "aux.acc_seg": 70.05745, "loss": 0.34784, "time": 0.40221} +{"mode": "train", "epoch": 202, "iter": 126950, "lr": 1e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.18502, "decode.acc_seg": 74.05368, "aux.loss_seg": 0.15142, "aux.acc_seg": 68.73631, "loss": 0.33644, "time": 0.4009} +{"mode": "train", "epoch": 202, "iter": 127000, "lr": 1e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.18541, "decode.acc_seg": 74.3211, "aux.loss_seg": 0.15913, "aux.acc_seg": 68.66348, "loss": 0.34454, "time": 0.40141} +{"mode": "train", "epoch": 202, "iter": 127050, "lr": 1e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.19067, "decode.acc_seg": 74.95867, "aux.loss_seg": 0.1618, "aux.acc_seg": 69.07766, "loss": 0.35246, "time": 0.40293} +{"mode": "train", "epoch": 202, "iter": 127100, "lr": 1e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.18187, "decode.acc_seg": 74.51509, "aux.loss_seg": 0.15292, "aux.acc_seg": 68.89737, "loss": 0.33478, "time": 0.40096} +{"mode": "train", "epoch": 202, "iter": 127150, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.20038, "decode.acc_seg": 73.59107, "aux.loss_seg": 0.16375, "aux.acc_seg": 67.86299, "loss": 0.36413, "time": 0.40154} +{"mode": "train", "epoch": 202, "iter": 127200, "lr": 1e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.183, "decode.acc_seg": 74.39477, "aux.loss_seg": 0.148, "aux.acc_seg": 69.24328, "loss": 0.331, "time": 0.40208} +{"mode": "train", "epoch": 202, "iter": 127250, "lr": 1e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.19005, "decode.acc_seg": 73.97096, "aux.loss_seg": 0.15533, "aux.acc_seg": 68.56433, "loss": 0.34537, "time": 0.40158} +{"mode": "train", "epoch": 202, "iter": 127300, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18712, "decode.acc_seg": 74.91422, "aux.loss_seg": 0.15305, "aux.acc_seg": 69.59833, "loss": 0.34017, "time": 0.40231} +{"mode": "train", "epoch": 202, "iter": 127350, "lr": 1e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.19009, "decode.acc_seg": 74.45597, "aux.loss_seg": 0.15647, "aux.acc_seg": 69.07904, "loss": 0.34656, "time": 0.40108} +{"mode": "train", "epoch": 202, "iter": 127400, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18344, "decode.acc_seg": 75.31349, "aux.loss_seg": 0.15616, "aux.acc_seg": 69.47363, "loss": 0.3396, "time": 0.40282} +{"mode": "train", "epoch": 202, "iter": 127450, "lr": 1e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.17701, "decode.acc_seg": 75.13047, "aux.loss_seg": 0.14912, "aux.acc_seg": 69.88939, "loss": 0.32613, "time": 0.40205} +{"mode": "train", "epoch": 203, "iter": 127500, "lr": 1e-05, "memory": 22018, "data_time": 0.17544, "decode.loss_seg": 0.18803, "decode.acc_seg": 74.47006, "aux.loss_seg": 0.15686, "aux.acc_seg": 68.92411, "loss": 0.3449, "time": 0.56835} +{"mode": "train", "epoch": 203, "iter": 127550, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.18294, "decode.acc_seg": 74.46056, "aux.loss_seg": 0.15173, "aux.acc_seg": 69.07894, "loss": 0.33467, "time": 0.40158} +{"mode": "train", "epoch": 203, "iter": 127600, "lr": 1e-05, "memory": 22018, "data_time": 0.0071, "decode.loss_seg": 0.18669, "decode.acc_seg": 73.881, "aux.loss_seg": 0.15711, "aux.acc_seg": 68.31201, "loss": 0.3438, "time": 0.40093} +{"mode": "train", "epoch": 203, "iter": 127650, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.18533, "decode.acc_seg": 74.93111, "aux.loss_seg": 0.15596, "aux.acc_seg": 69.36235, "loss": 0.34129, "time": 0.40178} +{"mode": "train", "epoch": 203, "iter": 127700, "lr": 1e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.19185, "decode.acc_seg": 74.87201, "aux.loss_seg": 0.15804, "aux.acc_seg": 69.30665, "loss": 0.34989, "time": 0.40057} +{"mode": "train", "epoch": 203, "iter": 127750, "lr": 1e-05, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.18672, "decode.acc_seg": 74.25327, "aux.loss_seg": 0.1552, "aux.acc_seg": 68.69711, "loss": 0.34192, "time": 0.40173} +{"mode": "train", "epoch": 203, "iter": 127800, "lr": 1e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.18305, "decode.acc_seg": 74.4548, "aux.loss_seg": 0.15294, "aux.acc_seg": 68.97116, "loss": 0.33599, "time": 0.40235} +{"mode": "train", "epoch": 203, "iter": 127850, "lr": 1e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.18836, "decode.acc_seg": 74.8571, "aux.loss_seg": 0.15587, "aux.acc_seg": 69.26747, "loss": 0.34423, "time": 0.40063} +{"mode": "train", "epoch": 203, "iter": 127900, "lr": 1e-05, "memory": 22018, "data_time": 0.00761, "decode.loss_seg": 0.18672, "decode.acc_seg": 74.7358, "aux.loss_seg": 0.15316, "aux.acc_seg": 69.45788, "loss": 0.33988, "time": 0.40152} +{"mode": "train", "epoch": 203, "iter": 127950, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.18358, "decode.acc_seg": 74.38715, "aux.loss_seg": 0.15306, "aux.acc_seg": 68.88288, "loss": 0.33664, "time": 0.40059} +{"mode": "val", "epoch": 203, "iter": 128000, "lr": 1e-05, "mIoU": 0.4642, "mAcc": 0.5778, "aAcc": 0.8164, "IoU.wall": 0.7562, "IoU.building": 0.8084, "IoU.sky": 0.9376, "IoU.floor": 0.8038, "IoU.tree": 0.7253, "IoU.ceiling": 0.8297, "IoU.road": 0.8179, "IoU.bed ": 0.8663, "IoU.windowpane": 0.5958, "IoU.grass": 0.6502, "IoU.cabinet": 0.5921, "IoU.sidewalk": 0.6132, "IoU.person": 0.7685, "IoU.earth": 0.3483, "IoU.door": 0.4425, "IoU.table": 0.5663, "IoU.mountain": 0.6015, "IoU.plant": 0.505, "IoU.curtain": 0.7188, "IoU.chair": 0.5299, "IoU.car": 0.8179, "IoU.water": 0.5355, "IoU.painting": 0.7068, "IoU.sofa": 0.59, "IoU.shelf": 0.3789, "IoU.house": 0.3558, "IoU.sea": 0.5155, "IoU.mirror": 0.5981, "IoU.rug": 0.6108, "IoU.field": 0.2706, "IoU.armchair": 0.3339, "IoU.seat": 0.5663, "IoU.fence": 0.4168, "IoU.desk": 0.4774, "IoU.rock": 0.4426, "IoU.wardrobe": 0.5167, "IoU.lamp": 0.576, "IoU.bathtub": 0.7457, "IoU.railing": 0.3445, "IoU.cushion": 0.5176, "IoU.base": 0.2794, "IoU.box": 0.2055, "IoU.column": 0.419, "IoU.signboard": 0.333, "IoU.chest of drawers": 0.3658, "IoU.counter": 0.3138, "IoU.sand": 0.3216, "IoU.sink": 0.6894, "IoU.skyscraper": 0.6577, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6322, "IoU.grandstand": 0.3956, "IoU.path": 0.2182, "IoU.stairs": 0.2765, "IoU.runway": 0.6439, "IoU.case": 0.3804, "IoU.pool table": 0.9123, "IoU.pillow": 0.5026, "IoU.screen door": 0.6912, "IoU.stairway": 0.2555, "IoU.river": 0.0882, "IoU.bridge": 0.62, "IoU.bookcase": 0.4237, "IoU.blind": NaN, "IoU.coffee table": 0.5194, "IoU.toilet": 0.8336, "IoU.flower": 0.4046, "IoU.book": 0.4453, "IoU.hill": 0.1603, "IoU.bench": 0.3649, "IoU.countertop": 0.5601, "IoU.stove": 0.688, "IoU.palm": 0.4439, "IoU.kitchen island": 0.3124, "IoU.computer": 0.5692, "IoU.swivel chair": 0.3795, "IoU.boat": 0.5843, "IoU.bar": 0.3204, "IoU.arcade machine": 0.3957, "IoU.hovel": 0.3677, "IoU.bus": 0.8238, "IoU.towel": 0.6102, "IoU.light": 0.5246, "IoU.truck": 0.3643, "IoU.tower": 0.0729, "IoU.chandelier": 0.6255, "IoU.awning": 0.3156, "IoU.streetlight": 0.2017, "IoU.booth": 0.5572, "IoU.television receiver": NaN, "IoU.airplane": 0.5496, "IoU.dirt track": 0.284, "IoU.apparel": 0.3332, "IoU.pole": 0.1759, "IoU.land": 0.002, "IoU.bannister": 0.1071, "IoU.escalator": 0.2334, "IoU.ottoman": 0.3739, "IoU.bottle": NaN, "IoU.buffet": 0.4152, "IoU.poster": 0.2845, "IoU.stage": 0.1248, "IoU.van": 0.4135, "IoU.ship": 0.6451, "IoU.fountain": 0.2452, "IoU.conveyer belt": 0.7738, "IoU.canopy": 0.2564, "IoU.washer": 0.719, "IoU.plaything": 0.1861, "IoU.swimming pool": 0.6125, "IoU.stool": 0.4137, "IoU.barrel": 0.4345, "IoU.basket": 0.2424, "IoU.waterfall": 0.5721, "IoU.tent": 0.9287, "IoU.bag": 0.1126, "IoU.minibike": 0.6426, "IoU.cradle": NaN, "IoU.oven": 0.4313, "IoU.ball": 0.383, "IoU.food": 0.4654, "IoU.step": 0.1189, "IoU.tank": 0.4469, "IoU.trade name": 0.2438, "IoU.microwave": 0.735, "IoU.pot": 0.4798, "IoU.animal": NaN, "IoU.bicycle": 0.4959, "IoU.lake": 0.4755, "IoU.dishwasher": 0.5192, "IoU.screen": 0.6246, "IoU.blanket": 0.1162, "IoU.sculpture": 0.5498, "IoU.hood": 0.5445, "IoU.sconce": 0.399, "IoU.vase": 0.3081, "IoU.traffic light": 0.2546, "IoU.tray": 0.0856, "IoU.ashcan": 0.3161, "IoU.fan": 0.5366, "IoU.pier": 0.6016, "IoU.crt screen": 0.1326, "IoU.plate": 0.5255, "IoU.monitor": 0.5199, "IoU.bulletin board": 0.3196, "IoU.shower": 0.0241, "IoU.radiator": 0.4367, "IoU.glass": 0.1214, "IoU.clock": 0.3778, "IoU.flag": 0.3152, "Acc.wall": 0.8715, "Acc.building": 0.9233, "Acc.sky": 0.9707, "Acc.floor": 0.9008, "Acc.tree": 0.8728, "Acc.ceiling": 0.9142, "Acc.road": 0.8873, "Acc.bed ": 0.9478, "Acc.windowpane": 0.7815, "Acc.grass": 0.7903, "Acc.cabinet": 0.7419, "Acc.sidewalk": 0.8037, "Acc.person": 0.9066, "Acc.earth": 0.4705, "Acc.door": 0.5701, "Acc.table": 0.743, "Acc.mountain": 0.7497, "Acc.plant": 0.6391, "Acc.curtain": 0.836, "Acc.chair": 0.6906, "Acc.car": 0.9119, "Acc.water": 0.6809, "Acc.painting": 0.8588, "Acc.sofa": 0.7824, "Acc.shelf": 0.5497, "Acc.house": 0.4813, "Acc.sea": 0.7012, "Acc.mirror": 0.6955, "Acc.rug": 0.7121, "Acc.field": 0.452, "Acc.armchair": 0.474, "Acc.seat": 0.7558, "Acc.fence": 0.5884, "Acc.desk": 0.6781, "Acc.rock": 0.6732, "Acc.wardrobe": 0.6466, "Acc.lamp": 0.7079, "Acc.bathtub": 0.804, "Acc.railing": 0.4839, "Acc.cushion": 0.6816, "Acc.base": 0.4271, "Acc.box": 0.2671, "Acc.column": 0.5161, "Acc.signboard": 0.4701, "Acc.chest of drawers": 0.5118, "Acc.counter": 0.3737, "Acc.sand": 0.5093, "Acc.sink": 0.7892, "Acc.skyscraper": 0.8034, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7938, "Acc.grandstand": 0.5948, "Acc.path": 0.3196, "Acc.stairs": 0.3666, "Acc.runway": 0.8603, "Acc.case": 0.5021, "Acc.pool table": 0.9588, "Acc.pillow": 0.5849, "Acc.screen door": 0.7651, "Acc.stairway": 0.3469, "Acc.river": 0.2059, "Acc.bridge": 0.7693, "Acc.bookcase": 0.5159, "Acc.blind": NaN, "Acc.coffee table": 0.7792, "Acc.toilet": 0.8858, "Acc.flower": 0.5167, "Acc.book": 0.6447, "Acc.hill": 0.1972, "Acc.bench": 0.436, "Acc.countertop": 0.736, "Acc.stove": 0.7616, "Acc.palm": 0.6836, "Acc.kitchen island": 0.5498, "Acc.computer": 0.6878, "Acc.swivel chair": 0.5178, "Acc.boat": 0.6771, "Acc.bar": 0.3866, "Acc.arcade machine": 0.4131, "Acc.hovel": 0.394, "Acc.bus": 0.8976, "Acc.towel": 0.7375, "Acc.light": 0.6051, "Acc.truck": 0.4625, "Acc.tower": 0.0881, "Acc.chandelier": 0.7801, "Acc.awning": 0.3725, "Acc.streetlight": 0.2624, "Acc.booth": 0.6798, "Acc.television receiver": NaN, "Acc.airplane": 0.6144, "Acc.dirt track": 0.4401, "Acc.apparel": 0.4435, "Acc.pole": 0.2738, "Acc.land": 0.0024, "Acc.bannister": 0.1399, "Acc.escalator": 0.2856, "Acc.ottoman": 0.5868, "Acc.bottle": NaN, "Acc.buffet": 0.4866, "Acc.poster": 0.3486, "Acc.stage": 0.2045, "Acc.van": 0.5482, "Acc.ship": 0.8908, "Acc.fountain": 0.2659, "Acc.conveyer belt": 0.8525, "Acc.canopy": 0.3124, "Acc.washer": 0.7325, "Acc.plaything": 0.2836, "Acc.swimming pool": 0.7973, "Acc.stool": 0.5212, "Acc.barrel": 0.6126, "Acc.basket": 0.4183, "Acc.waterfall": 0.6239, "Acc.tent": 0.9821, "Acc.bag": 0.1522, "Acc.minibike": 0.7682, "Acc.cradle": NaN, "Acc.oven": 0.6008, "Acc.ball": 0.4692, "Acc.food": 0.5453, "Acc.step": 0.1399, "Acc.tank": 0.5196, "Acc.trade name": 0.3052, "Acc.microwave": 0.8217, "Acc.pot": 0.5639, "Acc.animal": NaN, "Acc.bicycle": 0.7445, "Acc.lake": 0.5783, "Acc.dishwasher": 0.6155, "Acc.screen": 0.8417, "Acc.blanket": 0.1291, "Acc.sculpture": 0.6715, "Acc.hood": 0.6066, "Acc.sconce": 0.4911, "Acc.vase": 0.4659, "Acc.traffic light": 0.3921, "Acc.tray": 0.1455, "Acc.ashcan": 0.395, "Acc.fan": 0.6615, "Acc.pier": 0.8119, "Acc.crt screen": 0.1935, "Acc.plate": 0.7015, "Acc.monitor": 0.584, "Acc.bulletin board": 0.4186, "Acc.shower": 0.0643, "Acc.radiator": 0.4836, "Acc.glass": 0.1302, "Acc.clock": 0.4272, "Acc.flag": 0.3616} +{"mode": "train", "epoch": 203, "iter": 128050, "lr": 1e-05, "memory": 22018, "data_time": 1.85226, "decode.loss_seg": 0.18342, "decode.acc_seg": 74.41536, "aux.loss_seg": 0.15222, "aux.acc_seg": 69.12966, "loss": 0.33565, "time": 2.24719} +{"mode": "train", "epoch": 204, "iter": 128100, "lr": 1e-05, "memory": 22018, "data_time": 0.17757, "decode.loss_seg": 0.19172, "decode.acc_seg": 74.74212, "aux.loss_seg": 0.15855, "aux.acc_seg": 69.14838, "loss": 0.35027, "time": 0.57171} +{"mode": "train", "epoch": 204, "iter": 128150, "lr": 1e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.18012, "decode.acc_seg": 75.96789, "aux.loss_seg": 0.15285, "aux.acc_seg": 70.42201, "loss": 0.33297, "time": 0.40189} +{"mode": "train", "epoch": 204, "iter": 128200, "lr": 1e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.18065, "decode.acc_seg": 75.69151, "aux.loss_seg": 0.15144, "aux.acc_seg": 70.3095, "loss": 0.33209, "time": 0.40254} +{"mode": "train", "epoch": 204, "iter": 128250, "lr": 1e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.19003, "decode.acc_seg": 75.32536, "aux.loss_seg": 0.15486, "aux.acc_seg": 70.02171, "loss": 0.34489, "time": 0.40201} +{"mode": "train", "epoch": 204, "iter": 128300, "lr": 1e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.18985, "decode.acc_seg": 74.10777, "aux.loss_seg": 0.15595, "aux.acc_seg": 68.67638, "loss": 0.3458, "time": 0.4019} +{"mode": "train", "epoch": 204, "iter": 128350, "lr": 1e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.18684, "decode.acc_seg": 74.8724, "aux.loss_seg": 0.15619, "aux.acc_seg": 69.30334, "loss": 0.34303, "time": 0.40283} +{"mode": "train", "epoch": 204, "iter": 128400, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.18842, "decode.acc_seg": 75.00156, "aux.loss_seg": 0.15507, "aux.acc_seg": 69.52886, "loss": 0.34349, "time": 0.40317} +{"mode": "train", "epoch": 204, "iter": 128450, "lr": 1e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.18927, "decode.acc_seg": 75.40304, "aux.loss_seg": 0.15596, "aux.acc_seg": 69.8845, "loss": 0.34523, "time": 0.40222} +{"mode": "train", "epoch": 204, "iter": 128500, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.19543, "decode.acc_seg": 74.25763, "aux.loss_seg": 0.16877, "aux.acc_seg": 68.06379, "loss": 0.36419, "time": 0.40264} +{"mode": "train", "epoch": 204, "iter": 128550, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17996, "decode.acc_seg": 73.52668, "aux.loss_seg": 0.15168, "aux.acc_seg": 68.20217, "loss": 0.33164, "time": 0.40353} +{"mode": "train", "epoch": 204, "iter": 128600, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18434, "decode.acc_seg": 74.58856, "aux.loss_seg": 0.15268, "aux.acc_seg": 69.22365, "loss": 0.33702, "time": 0.40291} +{"mode": "train", "epoch": 204, "iter": 128650, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.18793, "decode.acc_seg": 75.29847, "aux.loss_seg": 0.15713, "aux.acc_seg": 69.64375, "loss": 0.34506, "time": 0.40344} +{"mode": "train", "epoch": 204, "iter": 128700, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18359, "decode.acc_seg": 74.97455, "aux.loss_seg": 0.15248, "aux.acc_seg": 69.43518, "loss": 0.33607, "time": 0.40335} +{"mode": "train", "epoch": 205, "iter": 128750, "lr": 1e-05, "memory": 22018, "data_time": 0.17093, "decode.loss_seg": 0.18066, "decode.acc_seg": 73.23812, "aux.loss_seg": 0.15028, "aux.acc_seg": 67.93726, "loss": 0.33093, "time": 0.5646} +{"mode": "train", "epoch": 205, "iter": 128800, "lr": 1e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.18008, "decode.acc_seg": 73.2529, "aux.loss_seg": 0.15092, "aux.acc_seg": 67.84959, "loss": 0.331, "time": 0.40256} +{"mode": "train", "epoch": 205, "iter": 128850, "lr": 1e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.18067, "decode.acc_seg": 74.70279, "aux.loss_seg": 0.1523, "aux.acc_seg": 69.29659, "loss": 0.33297, "time": 0.4017} +{"mode": "train", "epoch": 205, "iter": 128900, "lr": 1e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.18557, "decode.acc_seg": 75.10628, "aux.loss_seg": 0.15321, "aux.acc_seg": 69.7076, "loss": 0.33878, "time": 0.40189} +{"mode": "train", "epoch": 205, "iter": 128950, "lr": 1e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.18354, "decode.acc_seg": 75.39593, "aux.loss_seg": 0.15651, "aux.acc_seg": 69.7134, "loss": 0.34006, "time": 0.40303} +{"mode": "train", "epoch": 205, "iter": 129000, "lr": 1e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.18415, "decode.acc_seg": 75.02776, "aux.loss_seg": 0.15603, "aux.acc_seg": 69.34409, "loss": 0.34018, "time": 0.40232} +{"mode": "train", "epoch": 205, "iter": 129050, "lr": 1e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17717, "decode.acc_seg": 73.84521, "aux.loss_seg": 0.15104, "aux.acc_seg": 68.40811, "loss": 0.3282, "time": 0.40334} +{"mode": "train", "epoch": 205, "iter": 129100, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18025, "decode.acc_seg": 73.64884, "aux.loss_seg": 0.15123, "aux.acc_seg": 68.25478, "loss": 0.33148, "time": 0.40188} +{"mode": "train", "epoch": 205, "iter": 129150, "lr": 1e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.1876, "decode.acc_seg": 75.03189, "aux.loss_seg": 0.15509, "aux.acc_seg": 69.61365, "loss": 0.34268, "time": 0.40444} +{"mode": "train", "epoch": 205, "iter": 129200, "lr": 1e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.18563, "decode.acc_seg": 74.69073, "aux.loss_seg": 0.15267, "aux.acc_seg": 69.38799, "loss": 0.3383, "time": 0.40233} +{"mode": "train", "epoch": 205, "iter": 129250, "lr": 1e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.1834, "decode.acc_seg": 74.20271, "aux.loss_seg": 0.15174, "aux.acc_seg": 68.83239, "loss": 0.33515, "time": 0.40221} +{"mode": "train", "epoch": 205, "iter": 129300, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.18663, "decode.acc_seg": 75.1179, "aux.loss_seg": 0.16047, "aux.acc_seg": 69.33936, "loss": 0.3471, "time": 0.40295} +{"mode": "train", "epoch": 205, "iter": 129350, "lr": 1e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.18766, "decode.acc_seg": 73.7988, "aux.loss_seg": 0.15302, "aux.acc_seg": 68.48551, "loss": 0.34068, "time": 0.40317} +{"mode": "train", "epoch": 206, "iter": 129400, "lr": 1e-05, "memory": 22018, "data_time": 0.17558, "decode.loss_seg": 0.18491, "decode.acc_seg": 73.90545, "aux.loss_seg": 0.15439, "aux.acc_seg": 68.25796, "loss": 0.3393, "time": 0.5676} +{"mode": "train", "epoch": 206, "iter": 129450, "lr": 1e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.18317, "decode.acc_seg": 74.5941, "aux.loss_seg": 0.14999, "aux.acc_seg": 69.27119, "loss": 0.33316, "time": 0.40232} +{"mode": "train", "epoch": 206, "iter": 129500, "lr": 1e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.1855, "decode.acc_seg": 74.98983, "aux.loss_seg": 0.15341, "aux.acc_seg": 69.52096, "loss": 0.33891, "time": 0.4016} +{"mode": "train", "epoch": 206, "iter": 129550, "lr": 1e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.18737, "decode.acc_seg": 75.19597, "aux.loss_seg": 0.15925, "aux.acc_seg": 69.37534, "loss": 0.34662, "time": 0.40407} +{"mode": "train", "epoch": 206, "iter": 129600, "lr": 1e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.18432, "decode.acc_seg": 74.49811, "aux.loss_seg": 0.15445, "aux.acc_seg": 69.05927, "loss": 0.33877, "time": 0.40432} +{"mode": "train", "epoch": 206, "iter": 129650, "lr": 1e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.17552, "decode.acc_seg": 74.91978, "aux.loss_seg": 0.14808, "aux.acc_seg": 69.49999, "loss": 0.3236, "time": 0.40392} +{"mode": "train", "epoch": 206, "iter": 129700, "lr": 1e-05, "memory": 22018, "data_time": 0.00999, "decode.loss_seg": 0.18589, "decode.acc_seg": 74.4265, "aux.loss_seg": 0.15548, "aux.acc_seg": 68.71997, "loss": 0.34137, "time": 0.40271} +{"mode": "train", "epoch": 206, "iter": 129750, "lr": 1e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.17697, "decode.acc_seg": 74.13127, "aux.loss_seg": 0.14869, "aux.acc_seg": 68.81012, "loss": 0.32566, "time": 0.40191} +{"mode": "train", "epoch": 206, "iter": 129800, "lr": 1e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.18658, "decode.acc_seg": 74.99249, "aux.loss_seg": 0.15584, "aux.acc_seg": 69.3936, "loss": 0.34242, "time": 0.40317} +{"mode": "train", "epoch": 206, "iter": 129850, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.19039, "decode.acc_seg": 73.98388, "aux.loss_seg": 0.15483, "aux.acc_seg": 68.73053, "loss": 0.34523, "time": 0.40536} +{"mode": "train", "epoch": 206, "iter": 129900, "lr": 1e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.18264, "decode.acc_seg": 75.12283, "aux.loss_seg": 0.15844, "aux.acc_seg": 69.13765, "loss": 0.34108, "time": 0.40398} +{"mode": "train", "epoch": 206, "iter": 129950, "lr": 1e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.18885, "decode.acc_seg": 74.73788, "aux.loss_seg": 0.15271, "aux.acc_seg": 69.58878, "loss": 0.34155, "time": 0.40539} +{"mode": "train", "epoch": 207, "iter": 130000, "lr": 1e-05, "memory": 22018, "data_time": 0.17024, "decode.loss_seg": 0.19148, "decode.acc_seg": 74.42918, "aux.loss_seg": 0.15819, "aux.acc_seg": 68.95248, "loss": 0.34967, "time": 0.56542} +{"mode": "train", "epoch": 207, "iter": 130050, "lr": 1e-05, "memory": 22018, "data_time": 0.00695, "decode.loss_seg": 0.18537, "decode.acc_seg": 75.1182, "aux.loss_seg": 0.15785, "aux.acc_seg": 69.32075, "loss": 0.34322, "time": 0.40029} +{"mode": "train", "epoch": 207, "iter": 130100, "lr": 1e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.20023, "decode.acc_seg": 74.7684, "aux.loss_seg": 0.16507, "aux.acc_seg": 68.99915, "loss": 0.3653, "time": 0.40098} +{"mode": "train", "epoch": 207, "iter": 130150, "lr": 1e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.18041, "decode.acc_seg": 73.69014, "aux.loss_seg": 0.14939, "aux.acc_seg": 68.44897, "loss": 0.32981, "time": 0.40089} +{"mode": "train", "epoch": 207, "iter": 130200, "lr": 1e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.18638, "decode.acc_seg": 75.09692, "aux.loss_seg": 0.15642, "aux.acc_seg": 69.44875, "loss": 0.3428, "time": 0.39959} +{"mode": "train", "epoch": 207, "iter": 130250, "lr": 1e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.18304, "decode.acc_seg": 74.59856, "aux.loss_seg": 0.152, "aux.acc_seg": 69.09774, "loss": 0.33504, "time": 0.4003} +{"mode": "train", "epoch": 207, "iter": 130300, "lr": 1e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.18768, "decode.acc_seg": 75.03401, "aux.loss_seg": 0.15828, "aux.acc_seg": 69.43491, "loss": 0.34596, "time": 0.40067} +{"mode": "train", "epoch": 207, "iter": 130350, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18348, "decode.acc_seg": 74.58695, "aux.loss_seg": 0.1527, "aux.acc_seg": 69.23467, "loss": 0.33617, "time": 0.4024} +{"mode": "train", "epoch": 207, "iter": 130400, "lr": 1e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.18715, "decode.acc_seg": 73.635, "aux.loss_seg": 0.1548, "aux.acc_seg": 68.09474, "loss": 0.34195, "time": 0.40071} +{"mode": "train", "epoch": 207, "iter": 130450, "lr": 1e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.18005, "decode.acc_seg": 74.95079, "aux.loss_seg": 0.14899, "aux.acc_seg": 69.60935, "loss": 0.32904, "time": 0.40064} +{"mode": "train", "epoch": 207, "iter": 130500, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.18141, "decode.acc_seg": 75.29524, "aux.loss_seg": 0.14898, "aux.acc_seg": 70.09182, "loss": 0.33039, "time": 0.40011} +{"mode": "train", "epoch": 207, "iter": 130550, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18036, "decode.acc_seg": 74.97336, "aux.loss_seg": 0.15436, "aux.acc_seg": 69.49363, "loss": 0.33472, "time": 0.40197} +{"mode": "train", "epoch": 207, "iter": 130600, "lr": 1e-05, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.18262, "decode.acc_seg": 74.5618, "aux.loss_seg": 0.1486, "aux.acc_seg": 69.55436, "loss": 0.33122, "time": 0.40078} +{"mode": "train", "epoch": 208, "iter": 130650, "lr": 1e-05, "memory": 22018, "data_time": 0.18169, "decode.loss_seg": 0.18443, "decode.acc_seg": 74.88473, "aux.loss_seg": 0.15168, "aux.acc_seg": 69.5544, "loss": 0.33612, "time": 0.57624} +{"mode": "train", "epoch": 208, "iter": 130700, "lr": 1e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.18023, "decode.acc_seg": 74.42043, "aux.loss_seg": 0.14926, "aux.acc_seg": 69.12267, "loss": 0.32949, "time": 0.40396} +{"mode": "train", "epoch": 208, "iter": 130750, "lr": 1e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.18713, "decode.acc_seg": 75.32016, "aux.loss_seg": 0.15705, "aux.acc_seg": 69.64063, "loss": 0.34418, "time": 0.40372} +{"mode": "train", "epoch": 208, "iter": 130800, "lr": 1e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.03248, "aux.loss_seg": 0.14885, "aux.acc_seg": 69.69607, "loss": 0.32695, "time": 0.40175} +{"mode": "train", "epoch": 208, "iter": 130850, "lr": 1e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.18364, "decode.acc_seg": 75.35971, "aux.loss_seg": 0.15399, "aux.acc_seg": 69.88079, "loss": 0.33763, "time": 0.40158} +{"mode": "train", "epoch": 208, "iter": 130900, "lr": 1e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.19225, "decode.acc_seg": 74.78169, "aux.loss_seg": 0.1566, "aux.acc_seg": 69.43294, "loss": 0.34885, "time": 0.40292} +{"mode": "train", "epoch": 208, "iter": 130950, "lr": 1e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.18359, "decode.acc_seg": 73.8214, "aux.loss_seg": 0.15249, "aux.acc_seg": 68.35374, "loss": 0.33608, "time": 0.40268} +{"mode": "train", "epoch": 208, "iter": 131000, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.18369, "decode.acc_seg": 74.29647, "aux.loss_seg": 0.15643, "aux.acc_seg": 68.63413, "loss": 0.34012, "time": 0.40279} +{"mode": "train", "epoch": 208, "iter": 131050, "lr": 1e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.1805, "decode.acc_seg": 74.45014, "aux.loss_seg": 0.15167, "aux.acc_seg": 69.01007, "loss": 0.33217, "time": 0.40374} +{"mode": "train", "epoch": 208, "iter": 131100, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.18742, "decode.acc_seg": 74.96197, "aux.loss_seg": 0.15228, "aux.acc_seg": 69.51752, "loss": 0.3397, "time": 0.4017} +{"mode": "train", "epoch": 208, "iter": 131150, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.18034, "decode.acc_seg": 74.79926, "aux.loss_seg": 0.14924, "aux.acc_seg": 69.6293, "loss": 0.32958, "time": 0.40134} +{"mode": "train", "epoch": 208, "iter": 131200, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.18257, "decode.acc_seg": 74.44522, "aux.loss_seg": 0.15059, "aux.acc_seg": 69.15222, "loss": 0.33316, "time": 0.40387} +{"mode": "train", "epoch": 209, "iter": 131250, "lr": 1e-05, "memory": 22018, "data_time": 0.17537, "decode.loss_seg": 0.18344, "decode.acc_seg": 74.50828, "aux.loss_seg": 0.1511, "aux.acc_seg": 69.21778, "loss": 0.33454, "time": 0.56861} +{"mode": "train", "epoch": 209, "iter": 131300, "lr": 1e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.18057, "decode.acc_seg": 75.34728, "aux.loss_seg": 0.15191, "aux.acc_seg": 69.94134, "loss": 0.33248, "time": 0.39871} +{"mode": "train", "epoch": 209, "iter": 131350, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.19139, "decode.acc_seg": 74.73552, "aux.loss_seg": 0.16233, "aux.acc_seg": 68.78597, "loss": 0.35372, "time": 0.40092} +{"mode": "train", "epoch": 209, "iter": 131400, "lr": 1e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.18568, "decode.acc_seg": 73.81805, "aux.loss_seg": 0.15106, "aux.acc_seg": 68.65393, "loss": 0.33674, "time": 0.40027} +{"mode": "train", "epoch": 209, "iter": 131450, "lr": 1e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.17624, "decode.acc_seg": 74.33115, "aux.loss_seg": 0.15541, "aux.acc_seg": 68.63222, "loss": 0.33165, "time": 0.39957} +{"mode": "train", "epoch": 209, "iter": 131500, "lr": 1e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.18654, "decode.acc_seg": 74.26414, "aux.loss_seg": 0.15703, "aux.acc_seg": 68.56126, "loss": 0.34357, "time": 0.40078} +{"mode": "train", "epoch": 209, "iter": 131550, "lr": 1e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18925, "decode.acc_seg": 74.29077, "aux.loss_seg": 0.15347, "aux.acc_seg": 68.93923, "loss": 0.34271, "time": 0.40093} +{"mode": "train", "epoch": 209, "iter": 131600, "lr": 1e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.18783, "decode.acc_seg": 74.15751, "aux.loss_seg": 0.15317, "aux.acc_seg": 68.79843, "loss": 0.34099, "time": 0.40019} +{"mode": "train", "epoch": 209, "iter": 131650, "lr": 1e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.18521, "decode.acc_seg": 75.57979, "aux.loss_seg": 0.15335, "aux.acc_seg": 70.25665, "loss": 0.33856, "time": 0.40032} +{"mode": "train", "epoch": 209, "iter": 131700, "lr": 1e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.18516, "decode.acc_seg": 73.60339, "aux.loss_seg": 0.15114, "aux.acc_seg": 68.32978, "loss": 0.33629, "time": 0.39914} +{"mode": "train", "epoch": 209, "iter": 131750, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.18238, "decode.acc_seg": 74.44225, "aux.loss_seg": 0.15628, "aux.acc_seg": 68.62559, "loss": 0.33866, "time": 0.4004} +{"mode": "train", "epoch": 209, "iter": 131800, "lr": 1e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.17912, "decode.acc_seg": 74.55515, "aux.loss_seg": 0.14633, "aux.acc_seg": 69.47543, "loss": 0.32544, "time": 0.3996} +{"mode": "train", "epoch": 209, "iter": 131850, "lr": 1e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.18415, "decode.acc_seg": 74.7698, "aux.loss_seg": 0.15398, "aux.acc_seg": 69.30998, "loss": 0.33813, "time": 0.39936} +{"mode": "train", "epoch": 210, "iter": 131900, "lr": 1e-05, "memory": 22018, "data_time": 0.18247, "decode.loss_seg": 0.18283, "decode.acc_seg": 75.04935, "aux.loss_seg": 0.15534, "aux.acc_seg": 69.50211, "loss": 0.33818, "time": 0.57518} +{"mode": "train", "epoch": 210, "iter": 131950, "lr": 1e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19107, "decode.acc_seg": 74.38495, "aux.loss_seg": 0.15719, "aux.acc_seg": 68.8746, "loss": 0.34826, "time": 0.40159} +{"mode": "train", "epoch": 210, "iter": 132000, "lr": 1e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.17982, "decode.acc_seg": 74.41586, "aux.loss_seg": 0.15006, "aux.acc_seg": 69.14961, "loss": 0.32988, "time": 0.40192} +{"mode": "train", "epoch": 210, "iter": 132050, "lr": 1e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.1805, "decode.acc_seg": 75.0706, "aux.loss_seg": 0.15228, "aux.acc_seg": 69.43404, "loss": 0.33279, "time": 0.40212} +{"mode": "train", "epoch": 210, "iter": 132100, "lr": 1e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.18323, "decode.acc_seg": 75.14925, "aux.loss_seg": 0.15734, "aux.acc_seg": 69.26517, "loss": 0.34057, "time": 0.40297} +{"mode": "train", "epoch": 210, "iter": 132150, "lr": 1e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.18864, "decode.acc_seg": 74.28638, "aux.loss_seg": 0.15332, "aux.acc_seg": 68.99995, "loss": 0.34196, "time": 0.40353} +{"mode": "train", "epoch": 210, "iter": 132200, "lr": 1e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.18402, "decode.acc_seg": 74.61259, "aux.loss_seg": 0.15397, "aux.acc_seg": 69.03936, "loss": 0.33799, "time": 0.40266} +{"mode": "train", "epoch": 210, "iter": 132250, "lr": 1e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.18128, "decode.acc_seg": 75.18264, "aux.loss_seg": 0.15391, "aux.acc_seg": 69.53211, "loss": 0.33519, "time": 0.40167} +{"mode": "train", "epoch": 210, "iter": 132300, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.17933, "decode.acc_seg": 74.88755, "aux.loss_seg": 0.1513, "aux.acc_seg": 69.53358, "loss": 0.33063, "time": 0.40393} +{"mode": "train", "epoch": 210, "iter": 132350, "lr": 1e-05, "memory": 22018, "data_time": 0.01025, "decode.loss_seg": 0.18023, "decode.acc_seg": 74.22297, "aux.loss_seg": 0.15393, "aux.acc_seg": 68.62503, "loss": 0.33416, "time": 0.404} +{"mode": "train", "epoch": 210, "iter": 132400, "lr": 1e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.18099, "decode.acc_seg": 74.28901, "aux.loss_seg": 0.15325, "aux.acc_seg": 68.78546, "loss": 0.33424, "time": 0.40377} +{"mode": "train", "epoch": 210, "iter": 132450, "lr": 1e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.17842, "decode.acc_seg": 74.47817, "aux.loss_seg": 0.15223, "aux.acc_seg": 68.95449, "loss": 0.33065, "time": 0.40359} +{"mode": "train", "epoch": 210, "iter": 132500, "lr": 1e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.13873, "aux.loss_seg": 0.15593, "aux.acc_seg": 68.69188, "loss": 0.34253, "time": 0.4035} +{"mode": "train", "epoch": 211, "iter": 132550, "lr": 1e-05, "memory": 22018, "data_time": 0.18079, "decode.loss_seg": 0.1814, "decode.acc_seg": 74.58825, "aux.loss_seg": 0.14983, "aux.acc_seg": 69.32434, "loss": 0.33123, "time": 0.5746} +{"mode": "train", "epoch": 211, "iter": 132600, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.18413, "decode.acc_seg": 74.25066, "aux.loss_seg": 0.15261, "aux.acc_seg": 68.80539, "loss": 0.33674, "time": 0.40337} +{"mode": "train", "epoch": 211, "iter": 132650, "lr": 1e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.18221, "decode.acc_seg": 74.33523, "aux.loss_seg": 0.14924, "aux.acc_seg": 69.18308, "loss": 0.33145, "time": 0.40311} +{"mode": "train", "epoch": 211, "iter": 132700, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.18761, "decode.acc_seg": 74.97079, "aux.loss_seg": 0.15574, "aux.acc_seg": 69.51708, "loss": 0.34336, "time": 0.40181} +{"mode": "train", "epoch": 211, "iter": 132750, "lr": 1e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.17853, "decode.acc_seg": 75.02002, "aux.loss_seg": 0.15475, "aux.acc_seg": 69.30899, "loss": 0.33328, "time": 0.40131} +{"mode": "train", "epoch": 211, "iter": 132800, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.18433, "decode.acc_seg": 74.12064, "aux.loss_seg": 0.15551, "aux.acc_seg": 68.60945, "loss": 0.33984, "time": 0.40373} +{"mode": "train", "epoch": 211, "iter": 132850, "lr": 1e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17505, "decode.acc_seg": 74.72989, "aux.loss_seg": 0.14838, "aux.acc_seg": 69.33943, "loss": 0.32343, "time": 0.40203} +{"mode": "train", "epoch": 211, "iter": 132900, "lr": 1e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.18141, "decode.acc_seg": 74.25764, "aux.loss_seg": 0.15519, "aux.acc_seg": 68.56233, "loss": 0.3366, "time": 0.40262} +{"mode": "train", "epoch": 211, "iter": 132950, "lr": 1e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.19133, "decode.acc_seg": 74.78303, "aux.loss_seg": 0.15635, "aux.acc_seg": 69.17446, "loss": 0.34768, "time": 0.40178} +{"mode": "train", "epoch": 211, "iter": 133000, "lr": 1e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.1864, "decode.acc_seg": 75.02813, "aux.loss_seg": 0.15368, "aux.acc_seg": 69.56428, "loss": 0.34008, "time": 0.40119} +{"mode": "train", "epoch": 211, "iter": 133050, "lr": 1e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.18023, "decode.acc_seg": 74.872, "aux.loss_seg": 0.14815, "aux.acc_seg": 69.68281, "loss": 0.32838, "time": 0.40065} +{"mode": "train", "epoch": 211, "iter": 133100, "lr": 1e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.18187, "decode.acc_seg": 75.06758, "aux.loss_seg": 0.15441, "aux.acc_seg": 69.51512, "loss": 0.33628, "time": 0.40182} +{"mode": "train", "epoch": 212, "iter": 133150, "lr": 1e-05, "memory": 22018, "data_time": 0.17168, "decode.loss_seg": 0.18156, "decode.acc_seg": 74.38607, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.14941, "loss": 0.33098, "time": 0.56494} +{"mode": "train", "epoch": 212, "iter": 133200, "lr": 1e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.18084, "decode.acc_seg": 74.57214, "aux.loss_seg": 0.14941, "aux.acc_seg": 69.28996, "loss": 0.33025, "time": 0.40133} +{"mode": "train", "epoch": 212, "iter": 133250, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.17873, "decode.acc_seg": 73.8217, "aux.loss_seg": 0.1509, "aux.acc_seg": 68.56575, "loss": 0.32962, "time": 0.40234} +{"mode": "train", "epoch": 212, "iter": 133300, "lr": 1e-05, "memory": 22018, "data_time": 0.00987, "decode.loss_seg": 0.19013, "decode.acc_seg": 74.2714, "aux.loss_seg": 0.1567, "aux.acc_seg": 68.7808, "loss": 0.34683, "time": 0.40437} +{"mode": "train", "epoch": 212, "iter": 133350, "lr": 1e-05, "memory": 22018, "data_time": 0.00951, "decode.loss_seg": 0.18449, "decode.acc_seg": 74.48656, "aux.loss_seg": 0.1514, "aux.acc_seg": 69.17265, "loss": 0.33589, "time": 0.40392} +{"mode": "train", "epoch": 212, "iter": 133400, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.18337, "decode.acc_seg": 74.71449, "aux.loss_seg": 0.1528, "aux.acc_seg": 69.35993, "loss": 0.33617, "time": 0.40488} +{"mode": "train", "epoch": 212, "iter": 133450, "lr": 1e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.18593, "decode.acc_seg": 74.31598, "aux.loss_seg": 0.15134, "aux.acc_seg": 69.07685, "loss": 0.33726, "time": 0.40329} +{"mode": "train", "epoch": 212, "iter": 133500, "lr": 1e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.18398, "decode.acc_seg": 74.9409, "aux.loss_seg": 0.15421, "aux.acc_seg": 69.32245, "loss": 0.33819, "time": 0.404} +{"mode": "train", "epoch": 212, "iter": 133550, "lr": 1e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.1874, "decode.acc_seg": 75.01287, "aux.loss_seg": 0.15474, "aux.acc_seg": 69.46843, "loss": 0.34214, "time": 0.40171} +{"mode": "train", "epoch": 212, "iter": 133600, "lr": 1e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.17595, "decode.acc_seg": 74.31255, "aux.loss_seg": 0.14763, "aux.acc_seg": 69.04582, "loss": 0.32358, "time": 0.40346} +{"mode": "train", "epoch": 212, "iter": 133650, "lr": 1e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.18141, "decode.acc_seg": 75.41966, "aux.loss_seg": 0.14931, "aux.acc_seg": 70.17294, "loss": 0.33072, "time": 0.40345} +{"mode": "train", "epoch": 212, "iter": 133700, "lr": 1e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.19473, "decode.acc_seg": 74.50225, "aux.loss_seg": 0.16172, "aux.acc_seg": 68.79767, "loss": 0.35645, "time": 0.40182} +{"mode": "train", "epoch": 212, "iter": 133750, "lr": 1e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.17834, "decode.acc_seg": 74.73642, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.15573, "loss": 0.32987, "time": 0.40349} +{"mode": "train", "epoch": 213, "iter": 133800, "lr": 1e-05, "memory": 22018, "data_time": 0.17748, "decode.loss_seg": 0.18215, "decode.acc_seg": 74.19071, "aux.loss_seg": 0.15231, "aux.acc_seg": 68.68869, "loss": 0.33447, "time": 0.57153} +{"mode": "train", "epoch": 213, "iter": 133850, "lr": 1e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.17978, "decode.acc_seg": 74.96857, "aux.loss_seg": 0.14955, "aux.acc_seg": 69.7155, "loss": 0.32933, "time": 0.40083} +{"mode": "train", "epoch": 213, "iter": 133900, "lr": 1e-05, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.18408, "decode.acc_seg": 75.24079, "aux.loss_seg": 0.15242, "aux.acc_seg": 69.83679, "loss": 0.3365, "time": 0.40187} +{"mode": "train", "epoch": 213, "iter": 133950, "lr": 1e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.1779, "decode.acc_seg": 74.55979, "aux.loss_seg": 0.14834, "aux.acc_seg": 69.08782, "loss": 0.32624, "time": 0.4018} +{"mode": "train", "epoch": 213, "iter": 134000, "lr": 1e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.18519, "decode.acc_seg": 74.67408, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.16431, "loss": 0.3389, "time": 0.40072} +{"mode": "train", "epoch": 213, "iter": 134050, "lr": 1e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.1798, "decode.acc_seg": 74.8483, "aux.loss_seg": 0.14789, "aux.acc_seg": 69.61566, "loss": 0.32768, "time": 0.40093} +{"mode": "train", "epoch": 213, "iter": 134100, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.18, "decode.acc_seg": 74.80795, "aux.loss_seg": 0.15322, "aux.acc_seg": 69.32621, "loss": 0.33322, "time": 0.40192} +{"mode": "train", "epoch": 213, "iter": 134150, "lr": 1e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.18299, "decode.acc_seg": 74.7717, "aux.loss_seg": 0.1553, "aux.acc_seg": 69.15564, "loss": 0.33828, "time": 0.40405} +{"mode": "train", "epoch": 213, "iter": 134200, "lr": 1e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.17543, "decode.acc_seg": 74.10791, "aux.loss_seg": 0.15207, "aux.acc_seg": 68.57304, "loss": 0.32749, "time": 0.40404} +{"mode": "train", "epoch": 213, "iter": 134250, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.18436, "decode.acc_seg": 74.83327, "aux.loss_seg": 0.15463, "aux.acc_seg": 69.29839, "loss": 0.33899, "time": 0.40328} +{"mode": "train", "epoch": 213, "iter": 134300, "lr": 1e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.18369, "decode.acc_seg": 75.46564, "aux.loss_seg": 0.15553, "aux.acc_seg": 69.86585, "loss": 0.33922, "time": 0.40125} +{"mode": "train", "epoch": 213, "iter": 134350, "lr": 1e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.18284, "decode.acc_seg": 73.5167, "aux.loss_seg": 0.15069, "aux.acc_seg": 68.01714, "loss": 0.33353, "time": 0.40191} +{"mode": "train", "epoch": 213, "iter": 134400, "lr": 1e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.18139, "decode.acc_seg": 75.57818, "aux.loss_seg": 0.15341, "aux.acc_seg": 69.86252, "loss": 0.33481, "time": 0.40006} +{"mode": "train", "epoch": 214, "iter": 134450, "lr": 1e-05, "memory": 22018, "data_time": 0.17938, "decode.loss_seg": 0.18711, "decode.acc_seg": 75.62295, "aux.loss_seg": 0.15516, "aux.acc_seg": 70.19014, "loss": 0.34227, "time": 0.57156} +{"mode": "train", "epoch": 214, "iter": 134500, "lr": 1e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.18817, "decode.acc_seg": 74.43955, "aux.loss_seg": 0.15276, "aux.acc_seg": 69.09876, "loss": 0.34093, "time": 0.40113} +{"mode": "train", "epoch": 214, "iter": 134550, "lr": 1e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.18382, "decode.acc_seg": 73.21817, "aux.loss_seg": 0.15526, "aux.acc_seg": 67.53114, "loss": 0.33908, "time": 0.40239} +{"mode": "train", "epoch": 214, "iter": 134600, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.18176, "decode.acc_seg": 74.1232, "aux.loss_seg": 0.15094, "aux.acc_seg": 68.65714, "loss": 0.3327, "time": 0.40403} +{"mode": "train", "epoch": 214, "iter": 134650, "lr": 1e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.18778, "decode.acc_seg": 73.8502, "aux.loss_seg": 0.15877, "aux.acc_seg": 68.0062, "loss": 0.34656, "time": 0.4033} +{"mode": "train", "epoch": 214, "iter": 134700, "lr": 1e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.18125, "decode.acc_seg": 74.28169, "aux.loss_seg": 0.15332, "aux.acc_seg": 68.72616, "loss": 0.33458, "time": 0.40379} +{"mode": "train", "epoch": 214, "iter": 134750, "lr": 1e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.18024, "decode.acc_seg": 75.33616, "aux.loss_seg": 0.14866, "aux.acc_seg": 70.048, "loss": 0.3289, "time": 0.40371} +{"mode": "train", "epoch": 214, "iter": 134800, "lr": 1e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.18267, "decode.acc_seg": 74.58417, "aux.loss_seg": 0.15278, "aux.acc_seg": 69.19091, "loss": 0.33545, "time": 0.40247} +{"mode": "train", "epoch": 214, "iter": 134850, "lr": 1e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.18499, "decode.acc_seg": 74.64885, "aux.loss_seg": 0.15786, "aux.acc_seg": 68.85365, "loss": 0.34286, "time": 0.40303} +{"mode": "train", "epoch": 214, "iter": 134900, "lr": 1e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.18158, "decode.acc_seg": 75.43369, "aux.loss_seg": 0.15359, "aux.acc_seg": 69.71839, "loss": 0.33518, "time": 0.40052} +{"mode": "train", "epoch": 214, "iter": 134950, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.18779, "decode.acc_seg": 75.10426, "aux.loss_seg": 0.15888, "aux.acc_seg": 69.33265, "loss": 0.34667, "time": 0.40404} +{"mode": "train", "epoch": 214, "iter": 135000, "lr": 1e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.17881, "decode.acc_seg": 74.67186, "aux.loss_seg": 0.15251, "aux.acc_seg": 69.15359, "loss": 0.33132, "time": 0.40334} +{"mode": "train", "epoch": 215, "iter": 135050, "lr": 1e-05, "memory": 22018, "data_time": 0.17814, "decode.loss_seg": 0.18802, "decode.acc_seg": 74.93873, "aux.loss_seg": 0.15513, "aux.acc_seg": 69.48819, "loss": 0.34316, "time": 0.57172} +{"mode": "train", "epoch": 215, "iter": 135100, "lr": 1e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17497, "decode.acc_seg": 74.65843, "aux.loss_seg": 0.14612, "aux.acc_seg": 69.49643, "loss": 0.32109, "time": 0.3998} +{"mode": "train", "epoch": 215, "iter": 135150, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.17869, "decode.acc_seg": 75.1405, "aux.loss_seg": 0.15624, "aux.acc_seg": 69.48353, "loss": 0.33493, "time": 0.40096} +{"mode": "train", "epoch": 215, "iter": 135200, "lr": 1e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.179, "decode.acc_seg": 74.565, "aux.loss_seg": 0.14889, "aux.acc_seg": 69.35982, "loss": 0.3279, "time": 0.401} +{"mode": "train", "epoch": 215, "iter": 135250, "lr": 1e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.17824, "decode.acc_seg": 74.27399, "aux.loss_seg": 0.14915, "aux.acc_seg": 68.92679, "loss": 0.32739, "time": 0.40279} +{"mode": "train", "epoch": 215, "iter": 135300, "lr": 1e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.18856, "decode.acc_seg": 74.99694, "aux.loss_seg": 0.15561, "aux.acc_seg": 69.63535, "loss": 0.34417, "time": 0.40053} +{"mode": "train", "epoch": 215, "iter": 135350, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.1857, "decode.acc_seg": 74.67389, "aux.loss_seg": 0.15564, "aux.acc_seg": 69.11202, "loss": 0.34133, "time": 0.40128} +{"mode": "train", "epoch": 215, "iter": 135400, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.18109, "decode.acc_seg": 74.1223, "aux.loss_seg": 0.15173, "aux.acc_seg": 68.76241, "loss": 0.33282, "time": 0.4001} +{"mode": "train", "epoch": 215, "iter": 135450, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.18155, "decode.acc_seg": 74.21445, "aux.loss_seg": 0.14928, "aux.acc_seg": 68.93729, "loss": 0.33083, "time": 0.40242} +{"mode": "train", "epoch": 215, "iter": 135500, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.18385, "decode.acc_seg": 74.79807, "aux.loss_seg": 0.1565, "aux.acc_seg": 69.04066, "loss": 0.34036, "time": 0.40147} +{"mode": "train", "epoch": 215, "iter": 135550, "lr": 1e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.18679, "decode.acc_seg": 74.36099, "aux.loss_seg": 0.15574, "aux.acc_seg": 68.82224, "loss": 0.34253, "time": 0.40089} +{"mode": "train", "epoch": 215, "iter": 135600, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.18292, "decode.acc_seg": 74.9355, "aux.loss_seg": 0.15235, "aux.acc_seg": 69.53589, "loss": 0.33527, "time": 0.40087} +{"mode": "train", "epoch": 215, "iter": 135650, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18797, "decode.acc_seg": 74.60634, "aux.loss_seg": 0.15413, "aux.acc_seg": 69.10536, "loss": 0.3421, "time": 0.40199} +{"mode": "train", "epoch": 216, "iter": 135700, "lr": 1e-05, "memory": 22018, "data_time": 0.17057, "decode.loss_seg": 0.1774, "decode.acc_seg": 75.37229, "aux.loss_seg": 0.15202, "aux.acc_seg": 69.78909, "loss": 0.32943, "time": 0.5633} +{"mode": "train", "epoch": 216, "iter": 135750, "lr": 1e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.17749, "decode.acc_seg": 74.42785, "aux.loss_seg": 0.14939, "aux.acc_seg": 69.08409, "loss": 0.32688, "time": 0.39969} +{"mode": "train", "epoch": 216, "iter": 135800, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.17964, "decode.acc_seg": 74.16488, "aux.loss_seg": 0.14926, "aux.acc_seg": 68.91698, "loss": 0.32889, "time": 0.39961} +{"mode": "train", "epoch": 216, "iter": 135850, "lr": 1e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.18706, "decode.acc_seg": 75.80844, "aux.loss_seg": 0.15573, "aux.acc_seg": 70.33591, "loss": 0.34278, "time": 0.40094} +{"mode": "train", "epoch": 216, "iter": 135900, "lr": 1e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.17636, "decode.acc_seg": 73.65414, "aux.loss_seg": 0.14716, "aux.acc_seg": 68.29208, "loss": 0.32352, "time": 0.39977} +{"mode": "train", "epoch": 216, "iter": 135950, "lr": 1e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.18, "decode.acc_seg": 75.42276, "aux.loss_seg": 0.14978, "aux.acc_seg": 70.17321, "loss": 0.32978, "time": 0.40016} +{"mode": "train", "epoch": 216, "iter": 136000, "lr": 1e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.18397, "decode.acc_seg": 74.46315, "aux.loss_seg": 0.15879, "aux.acc_seg": 68.66419, "loss": 0.34276, "time": 0.39986} +{"mode": "train", "epoch": 216, "iter": 136050, "lr": 1e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.179, "decode.acc_seg": 75.38533, "aux.loss_seg": 0.15302, "aux.acc_seg": 69.87228, "loss": 0.33202, "time": 0.40018} +{"mode": "train", "epoch": 216, "iter": 136100, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18512, "decode.acc_seg": 74.29772, "aux.loss_seg": 0.15345, "aux.acc_seg": 68.88406, "loss": 0.33857, "time": 0.4005} +{"mode": "train", "epoch": 216, "iter": 136150, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.17554, "decode.acc_seg": 74.05692, "aux.loss_seg": 0.14882, "aux.acc_seg": 68.6785, "loss": 0.32436, "time": 0.39954} +{"mode": "train", "epoch": 216, "iter": 136200, "lr": 1e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.18171, "decode.acc_seg": 74.60408, "aux.loss_seg": 0.15301, "aux.acc_seg": 69.14389, "loss": 0.33472, "time": 0.399} +{"mode": "train", "epoch": 216, "iter": 136250, "lr": 1e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.17846, "decode.acc_seg": 74.37415, "aux.loss_seg": 0.1527, "aux.acc_seg": 68.7901, "loss": 0.33117, "time": 0.39997} +{"mode": "train", "epoch": 217, "iter": 136300, "lr": 1e-05, "memory": 22018, "data_time": 0.17274, "decode.loss_seg": 0.18286, "decode.acc_seg": 74.25637, "aux.loss_seg": 0.15405, "aux.acc_seg": 68.72444, "loss": 0.33691, "time": 0.5652} +{"mode": "train", "epoch": 217, "iter": 136350, "lr": 1e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.18317, "decode.acc_seg": 74.28572, "aux.loss_seg": 0.15046, "aux.acc_seg": 68.98562, "loss": 0.33363, "time": 0.40095} +{"mode": "train", "epoch": 217, "iter": 136400, "lr": 1e-05, "memory": 22018, "data_time": 0.00659, "decode.loss_seg": 0.18665, "decode.acc_seg": 75.14054, "aux.loss_seg": 0.15362, "aux.acc_seg": 69.8441, "loss": 0.34027, "time": 0.39912} +{"mode": "train", "epoch": 217, "iter": 136450, "lr": 1e-05, "memory": 22018, "data_time": 0.00658, "decode.loss_seg": 0.18375, "decode.acc_seg": 75.04972, "aux.loss_seg": 0.1483, "aux.acc_seg": 70.03925, "loss": 0.33205, "time": 0.39889} +{"mode": "train", "epoch": 217, "iter": 136500, "lr": 1e-05, "memory": 22018, "data_time": 0.00695, "decode.loss_seg": 0.17843, "decode.acc_seg": 73.9827, "aux.loss_seg": 0.15437, "aux.acc_seg": 68.31226, "loss": 0.3328, "time": 0.39997} +{"mode": "train", "epoch": 217, "iter": 136550, "lr": 1e-05, "memory": 22018, "data_time": 0.00674, "decode.loss_seg": 0.18221, "decode.acc_seg": 74.93334, "aux.loss_seg": 0.15206, "aux.acc_seg": 69.55579, "loss": 0.33428, "time": 0.40018} +{"mode": "train", "epoch": 217, "iter": 136600, "lr": 1e-05, "memory": 22018, "data_time": 0.00653, "decode.loss_seg": 0.17963, "decode.acc_seg": 73.81076, "aux.loss_seg": 0.15264, "aux.acc_seg": 68.24122, "loss": 0.33227, "time": 0.39945} +{"mode": "train", "epoch": 217, "iter": 136650, "lr": 1e-05, "memory": 22018, "data_time": 0.00655, "decode.loss_seg": 0.17629, "decode.acc_seg": 75.37671, "aux.loss_seg": 0.14788, "aux.acc_seg": 70.06699, "loss": 0.32417, "time": 0.40036} +{"mode": "train", "epoch": 217, "iter": 136700, "lr": 1e-05, "memory": 22018, "data_time": 0.00658, "decode.loss_seg": 0.18101, "decode.acc_seg": 75.62129, "aux.loss_seg": 0.15154, "aux.acc_seg": 70.25695, "loss": 0.33255, "time": 0.39934} +{"mode": "train", "epoch": 217, "iter": 136750, "lr": 1e-05, "memory": 22018, "data_time": 0.00611, "decode.loss_seg": 0.18432, "decode.acc_seg": 74.96076, "aux.loss_seg": 0.15423, "aux.acc_seg": 69.54573, "loss": 0.33856, "time": 0.39953} +{"mode": "train", "epoch": 217, "iter": 136800, "lr": 1e-05, "memory": 22018, "data_time": 0.0068, "decode.loss_seg": 0.18367, "decode.acc_seg": 75.42104, "aux.loss_seg": 0.15484, "aux.acc_seg": 69.73804, "loss": 0.33851, "time": 0.39997} +{"mode": "train", "epoch": 217, "iter": 136850, "lr": 1e-05, "memory": 22018, "data_time": 0.00668, "decode.loss_seg": 0.18083, "decode.acc_seg": 74.97758, "aux.loss_seg": 0.15231, "aux.acc_seg": 69.30834, "loss": 0.33314, "time": 0.40019} +{"mode": "train", "epoch": 217, "iter": 136900, "lr": 1e-05, "memory": 22018, "data_time": 0.00622, "decode.loss_seg": 0.1758, "decode.acc_seg": 75.03403, "aux.loss_seg": 0.15097, "aux.acc_seg": 69.36296, "loss": 0.32677, "time": 0.39829} +{"mode": "train", "epoch": 218, "iter": 136950, "lr": 1e-05, "memory": 22018, "data_time": 0.17819, "decode.loss_seg": 0.17499, "decode.acc_seg": 74.93967, "aux.loss_seg": 0.15051, "aux.acc_seg": 69.32358, "loss": 0.32551, "time": 0.57131} +{"mode": "train", "epoch": 218, "iter": 137000, "lr": 1e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.17931, "decode.acc_seg": 74.49465, "aux.loss_seg": 0.15145, "aux.acc_seg": 69.04197, "loss": 0.33076, "time": 0.40143} +{"mode": "train", "epoch": 218, "iter": 137050, "lr": 1e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.18578, "decode.acc_seg": 74.89019, "aux.loss_seg": 0.15543, "aux.acc_seg": 69.40652, "loss": 0.34121, "time": 0.40147} +{"mode": "train", "epoch": 218, "iter": 137100, "lr": 1e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.18574, "decode.acc_seg": 75.09769, "aux.loss_seg": 0.15631, "aux.acc_seg": 69.38166, "loss": 0.34205, "time": 0.40342} +{"mode": "train", "epoch": 218, "iter": 137150, "lr": 1e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.18048, "decode.acc_seg": 74.75262, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.33308, "loss": 0.33162, "time": 0.40217} +{"mode": "train", "epoch": 218, "iter": 137200, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.17829, "decode.acc_seg": 75.1991, "aux.loss_seg": 0.15257, "aux.acc_seg": 69.58833, "loss": 0.33086, "time": 0.40157} +{"mode": "train", "epoch": 218, "iter": 137250, "lr": 1e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.17801, "decode.acc_seg": 73.97695, "aux.loss_seg": 0.15362, "aux.acc_seg": 68.33636, "loss": 0.33163, "time": 0.40366} +{"mode": "train", "epoch": 218, "iter": 137300, "lr": 1e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.1785, "decode.acc_seg": 74.74327, "aux.loss_seg": 0.15043, "aux.acc_seg": 69.3184, "loss": 0.32892, "time": 0.40215} +{"mode": "train", "epoch": 218, "iter": 137350, "lr": 1e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.17818, "decode.acc_seg": 75.2708, "aux.loss_seg": 0.15172, "aux.acc_seg": 69.85998, "loss": 0.3299, "time": 0.40264} +{"mode": "train", "epoch": 218, "iter": 137400, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.18002, "decode.acc_seg": 75.09522, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.63353, "loss": 0.33182, "time": 0.40195} +{"mode": "train", "epoch": 218, "iter": 137450, "lr": 1e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.18731, "decode.acc_seg": 74.49971, "aux.loss_seg": 0.15426, "aux.acc_seg": 69.23922, "loss": 0.34157, "time": 0.40269} +{"mode": "train", "epoch": 218, "iter": 137500, "lr": 1e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.17535, "decode.acc_seg": 74.38702, "aux.loss_seg": 0.14843, "aux.acc_seg": 69.0691, "loss": 0.32378, "time": 0.40174} +{"mode": "train", "epoch": 218, "iter": 137550, "lr": 1e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.18315, "decode.acc_seg": 74.63648, "aux.loss_seg": 0.15346, "aux.acc_seg": 69.13941, "loss": 0.33661, "time": 0.40283} +{"mode": "train", "epoch": 219, "iter": 137600, "lr": 1e-05, "memory": 22018, "data_time": 0.17351, "decode.loss_seg": 0.17894, "decode.acc_seg": 75.44093, "aux.loss_seg": 0.14918, "aux.acc_seg": 70.01987, "loss": 0.32812, "time": 0.56653} +{"mode": "train", "epoch": 219, "iter": 137650, "lr": 1e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.17825, "decode.acc_seg": 73.65929, "aux.loss_seg": 0.14406, "aux.acc_seg": 68.71917, "loss": 0.32231, "time": 0.39996} +{"mode": "train", "epoch": 219, "iter": 137700, "lr": 1e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.18253, "decode.acc_seg": 75.06156, "aux.loss_seg": 0.15027, "aux.acc_seg": 69.77296, "loss": 0.3328, "time": 0.40038} +{"mode": "train", "epoch": 219, "iter": 137750, "lr": 1e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.17989, "decode.acc_seg": 74.86382, "aux.loss_seg": 0.15166, "aux.acc_seg": 69.49712, "loss": 0.33155, "time": 0.40148} +{"mode": "train", "epoch": 219, "iter": 137800, "lr": 1e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.18224, "decode.acc_seg": 74.41608, "aux.loss_seg": 0.15611, "aux.acc_seg": 68.67609, "loss": 0.33835, "time": 0.40133} +{"mode": "train", "epoch": 219, "iter": 137850, "lr": 1e-05, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.18378, "decode.acc_seg": 74.42944, "aux.loss_seg": 0.15377, "aux.acc_seg": 68.85561, "loss": 0.33755, "time": 0.39961} +{"mode": "train", "epoch": 219, "iter": 137900, "lr": 1e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.18024, "decode.acc_seg": 74.79132, "aux.loss_seg": 0.15195, "aux.acc_seg": 69.32961, "loss": 0.33219, "time": 0.40031} +{"mode": "train", "epoch": 219, "iter": 137950, "lr": 1e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.1743, "decode.acc_seg": 74.41429, "aux.loss_seg": 0.14724, "aux.acc_seg": 69.13545, "loss": 0.32154, "time": 0.4003} +{"mode": "train", "epoch": 219, "iter": 138000, "lr": 1e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.17476, "decode.acc_seg": 74.54724, "aux.loss_seg": 0.1508, "aux.acc_seg": 68.97638, "loss": 0.32555, "time": 0.40066} +{"mode": "train", "epoch": 219, "iter": 138050, "lr": 1e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.17622, "decode.acc_seg": 74.98342, "aux.loss_seg": 0.14855, "aux.acc_seg": 69.65144, "loss": 0.32477, "time": 0.40073} +{"mode": "train", "epoch": 219, "iter": 138100, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18647, "decode.acc_seg": 75.08127, "aux.loss_seg": 0.15433, "aux.acc_seg": 69.53695, "loss": 0.34081, "time": 0.40079} +{"mode": "train", "epoch": 219, "iter": 138150, "lr": 1e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.18529, "decode.acc_seg": 75.10868, "aux.loss_seg": 0.15381, "aux.acc_seg": 69.59708, "loss": 0.3391, "time": 0.40333} +{"mode": "train", "epoch": 220, "iter": 138200, "lr": 1e-05, "memory": 22018, "data_time": 0.17155, "decode.loss_seg": 0.18645, "decode.acc_seg": 74.10368, "aux.loss_seg": 0.15482, "aux.acc_seg": 68.63446, "loss": 0.34127, "time": 0.56544} +{"mode": "train", "epoch": 220, "iter": 138250, "lr": 1e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.17591, "decode.acc_seg": 75.03379, "aux.loss_seg": 0.14746, "aux.acc_seg": 69.71401, "loss": 0.32337, "time": 0.40322} +{"mode": "train", "epoch": 220, "iter": 138300, "lr": 1e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.17632, "decode.acc_seg": 74.95712, "aux.loss_seg": 0.14806, "aux.acc_seg": 69.79366, "loss": 0.32438, "time": 0.40342} +{"mode": "train", "epoch": 220, "iter": 138350, "lr": 1e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.18543, "decode.acc_seg": 74.43821, "aux.loss_seg": 0.15201, "aux.acc_seg": 69.02122, "loss": 0.33743, "time": 0.4031} +{"mode": "train", "epoch": 220, "iter": 138400, "lr": 1e-05, "memory": 22018, "data_time": 0.00947, "decode.loss_seg": 0.17994, "decode.acc_seg": 75.65274, "aux.loss_seg": 0.15325, "aux.acc_seg": 70.20486, "loss": 0.33319, "time": 0.40508} +{"mode": "train", "epoch": 220, "iter": 138450, "lr": 1e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17922, "decode.acc_seg": 75.11376, "aux.loss_seg": 0.15181, "aux.acc_seg": 69.71211, "loss": 0.33102, "time": 0.40176} +{"mode": "train", "epoch": 220, "iter": 138500, "lr": 1e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.17986, "decode.acc_seg": 73.54707, "aux.loss_seg": 0.15058, "aux.acc_seg": 68.1232, "loss": 0.33044, "time": 0.40257} +{"mode": "train", "epoch": 220, "iter": 138550, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.17583, "decode.acc_seg": 75.45977, "aux.loss_seg": 0.15203, "aux.acc_seg": 69.92195, "loss": 0.32786, "time": 0.40182} +{"mode": "train", "epoch": 220, "iter": 138600, "lr": 1e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.17587, "decode.acc_seg": 74.32513, "aux.loss_seg": 0.1456, "aux.acc_seg": 69.23685, "loss": 0.32146, "time": 0.40333} +{"mode": "train", "epoch": 220, "iter": 138650, "lr": 1e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.18497, "decode.acc_seg": 75.17892, "aux.loss_seg": 0.15895, "aux.acc_seg": 69.18621, "loss": 0.34392, "time": 0.40344} +{"mode": "train", "epoch": 220, "iter": 138700, "lr": 1e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.17908, "decode.acc_seg": 73.9002, "aux.loss_seg": 0.1485, "aux.acc_seg": 68.52392, "loss": 0.32758, "time": 0.40103} +{"mode": "train", "epoch": 220, "iter": 138750, "lr": 1e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.18382, "decode.acc_seg": 75.42647, "aux.loss_seg": 0.15493, "aux.acc_seg": 69.70231, "loss": 0.33875, "time": 0.40105} +{"mode": "train", "epoch": 220, "iter": 138800, "lr": 1e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.17576, "decode.acc_seg": 74.68087, "aux.loss_seg": 0.14935, "aux.acc_seg": 69.27852, "loss": 0.32512, "time": 0.40061} +{"mode": "train", "epoch": 221, "iter": 138850, "lr": 1e-05, "memory": 22018, "data_time": 0.17767, "decode.loss_seg": 0.17946, "decode.acc_seg": 74.66261, "aux.loss_seg": 0.15231, "aux.acc_seg": 69.18046, "loss": 0.33177, "time": 0.57161} +{"mode": "train", "epoch": 221, "iter": 138900, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.18308, "decode.acc_seg": 74.60363, "aux.loss_seg": 0.1531, "aux.acc_seg": 69.13632, "loss": 0.33617, "time": 0.40148} +{"mode": "train", "epoch": 221, "iter": 138950, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.17703, "decode.acc_seg": 74.0314, "aux.loss_seg": 0.14784, "aux.acc_seg": 68.69716, "loss": 0.32487, "time": 0.40076} +{"mode": "train", "epoch": 221, "iter": 139000, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.17709, "decode.acc_seg": 73.88471, "aux.loss_seg": 0.14962, "aux.acc_seg": 68.44624, "loss": 0.32671, "time": 0.40187} +{"mode": "train", "epoch": 221, "iter": 139050, "lr": 1e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.17836, "decode.acc_seg": 75.32109, "aux.loss_seg": 0.14657, "aux.acc_seg": 70.03463, "loss": 0.32493, "time": 0.40204} +{"mode": "train", "epoch": 221, "iter": 139100, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.17883, "decode.acc_seg": 74.78086, "aux.loss_seg": 0.15221, "aux.acc_seg": 69.26196, "loss": 0.33104, "time": 0.40222} +{"mode": "train", "epoch": 221, "iter": 139150, "lr": 1e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.17887, "decode.acc_seg": 75.48114, "aux.loss_seg": 0.15007, "aux.acc_seg": 70.11523, "loss": 0.32894, "time": 0.40266} +{"mode": "train", "epoch": 221, "iter": 139200, "lr": 1e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17671, "decode.acc_seg": 74.89374, "aux.loss_seg": 0.14439, "aux.acc_seg": 69.75439, "loss": 0.3211, "time": 0.40297} +{"mode": "train", "epoch": 221, "iter": 139250, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.17987, "decode.acc_seg": 74.3652, "aux.loss_seg": 0.15302, "aux.acc_seg": 68.83001, "loss": 0.33289, "time": 0.40162} +{"mode": "train", "epoch": 221, "iter": 139300, "lr": 1e-05, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.17871, "decode.acc_seg": 74.71064, "aux.loss_seg": 0.15176, "aux.acc_seg": 69.06759, "loss": 0.33047, "time": 0.4022} +{"mode": "train", "epoch": 221, "iter": 139350, "lr": 1e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.18052, "decode.acc_seg": 74.22343, "aux.loss_seg": 0.1528, "aux.acc_seg": 68.74935, "loss": 0.33332, "time": 0.40228} +{"mode": "train", "epoch": 221, "iter": 139400, "lr": 1e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.17833, "decode.acc_seg": 75.34885, "aux.loss_seg": 0.15726, "aux.acc_seg": 69.30874, "loss": 0.33559, "time": 0.39973} +{"mode": "train", "epoch": 221, "iter": 139450, "lr": 1e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.17798, "decode.acc_seg": 73.99289, "aux.loss_seg": 0.15011, "aux.acc_seg": 68.65405, "loss": 0.32809, "time": 0.40103} +{"mode": "train", "epoch": 222, "iter": 139500, "lr": 1e-05, "memory": 22018, "data_time": 0.1684, "decode.loss_seg": 0.17472, "decode.acc_seg": 75.45791, "aux.loss_seg": 0.15034, "aux.acc_seg": 69.91855, "loss": 0.32506, "time": 0.56138} +{"mode": "train", "epoch": 222, "iter": 139550, "lr": 1e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.18494, "decode.acc_seg": 74.97331, "aux.loss_seg": 0.15399, "aux.acc_seg": 69.58438, "loss": 0.33893, "time": 0.40177} +{"mode": "train", "epoch": 222, "iter": 139600, "lr": 1e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.17408, "decode.acc_seg": 73.87088, "aux.loss_seg": 0.14975, "aux.acc_seg": 68.26583, "loss": 0.32383, "time": 0.4011} +{"mode": "train", "epoch": 222, "iter": 139650, "lr": 1e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.18313, "decode.acc_seg": 74.43285, "aux.loss_seg": 0.15416, "aux.acc_seg": 69.07657, "loss": 0.33729, "time": 0.40196} +{"mode": "train", "epoch": 222, "iter": 139700, "lr": 1e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.1816, "decode.acc_seg": 74.23545, "aux.loss_seg": 0.15287, "aux.acc_seg": 68.63298, "loss": 0.33447, "time": 0.40174} +{"mode": "train", "epoch": 222, "iter": 139750, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.18228, "decode.acc_seg": 73.58007, "aux.loss_seg": 0.15327, "aux.acc_seg": 68.08728, "loss": 0.33555, "time": 0.40224} +{"mode": "train", "epoch": 222, "iter": 139800, "lr": 1e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.1732, "decode.acc_seg": 75.00273, "aux.loss_seg": 0.14962, "aux.acc_seg": 69.59806, "loss": 0.32282, "time": 0.40195} +{"mode": "train", "epoch": 222, "iter": 139850, "lr": 1e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.17391, "decode.acc_seg": 74.79002, "aux.loss_seg": 0.14563, "aux.acc_seg": 69.5734, "loss": 0.31954, "time": 0.40172} +{"mode": "train", "epoch": 222, "iter": 139900, "lr": 1e-05, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.17964, "decode.acc_seg": 74.36944, "aux.loss_seg": 0.15091, "aux.acc_seg": 68.91523, "loss": 0.33055, "time": 0.40153} +{"mode": "train", "epoch": 222, "iter": 139950, "lr": 1e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.18378, "decode.acc_seg": 75.23317, "aux.loss_seg": 0.1502, "aux.acc_seg": 70.02178, "loss": 0.33398, "time": 0.40226} +{"mode": "train", "epoch": 222, "iter": 140000, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.17593, "decode.acc_seg": 74.90029, "aux.loss_seg": 0.14583, "aux.acc_seg": 69.67395, "loss": 0.32176, "time": 0.40134} +{"mode": "train", "epoch": 222, "iter": 140050, "lr": 1e-05, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.54505, "aux.loss_seg": 0.15179, "aux.acc_seg": 68.96196, "loss": 0.33002, "time": 0.40273} +{"mode": "train", "epoch": 223, "iter": 140100, "lr": 1e-05, "memory": 22018, "data_time": 0.18105, "decode.loss_seg": 0.17895, "decode.acc_seg": 74.08199, "aux.loss_seg": 0.15428, "aux.acc_seg": 68.51881, "loss": 0.33324, "time": 0.57632} +{"mode": "train", "epoch": 223, "iter": 140150, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18167, "decode.acc_seg": 74.26571, "aux.loss_seg": 0.15434, "aux.acc_seg": 68.64792, "loss": 0.33601, "time": 0.40266} +{"mode": "train", "epoch": 223, "iter": 140200, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.1796, "decode.acc_seg": 74.71615, "aux.loss_seg": 0.151, "aux.acc_seg": 69.25635, "loss": 0.3306, "time": 0.402} +{"mode": "train", "epoch": 223, "iter": 140250, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.18355, "decode.acc_seg": 74.71339, "aux.loss_seg": 0.15116, "aux.acc_seg": 69.47785, "loss": 0.33471, "time": 0.40239} +{"mode": "train", "epoch": 223, "iter": 140300, "lr": 1e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.18255, "decode.acc_seg": 74.52611, "aux.loss_seg": 0.15401, "aux.acc_seg": 68.97616, "loss": 0.33656, "time": 0.40433} +{"mode": "train", "epoch": 223, "iter": 140350, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17484, "decode.acc_seg": 74.4677, "aux.loss_seg": 0.14703, "aux.acc_seg": 69.18598, "loss": 0.32186, "time": 0.40488} +{"mode": "train", "epoch": 223, "iter": 140400, "lr": 1e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.1783, "decode.acc_seg": 74.6108, "aux.loss_seg": 0.14958, "aux.acc_seg": 69.24121, "loss": 0.32789, "time": 0.40333} +{"mode": "train", "epoch": 223, "iter": 140450, "lr": 1e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.17992, "decode.acc_seg": 75.06371, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.57669, "loss": 0.33106, "time": 0.40314} +{"mode": "train", "epoch": 223, "iter": 140500, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18619, "decode.acc_seg": 74.16667, "aux.loss_seg": 0.15513, "aux.acc_seg": 68.73434, "loss": 0.34132, "time": 0.40157} +{"mode": "train", "epoch": 223, "iter": 140550, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18171, "decode.acc_seg": 75.39549, "aux.loss_seg": 0.15524, "aux.acc_seg": 69.74993, "loss": 0.33694, "time": 0.4031} +{"mode": "train", "epoch": 223, "iter": 140600, "lr": 1e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.17683, "decode.acc_seg": 74.66344, "aux.loss_seg": 0.14856, "aux.acc_seg": 69.26977, "loss": 0.32539, "time": 0.4028} +{"mode": "train", "epoch": 223, "iter": 140650, "lr": 1e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.17995, "decode.acc_seg": 75.11175, "aux.loss_seg": 0.14949, "aux.acc_seg": 69.77988, "loss": 0.32944, "time": 0.40368} +{"mode": "train", "epoch": 223, "iter": 140700, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.17674, "decode.acc_seg": 73.81217, "aux.loss_seg": 0.15383, "aux.acc_seg": 68.10239, "loss": 0.33057, "time": 0.40253} +{"mode": "train", "epoch": 224, "iter": 140750, "lr": 1e-05, "memory": 22018, "data_time": 0.16516, "decode.loss_seg": 0.1724, "decode.acc_seg": 74.77167, "aux.loss_seg": 0.14806, "aux.acc_seg": 69.31079, "loss": 0.32046, "time": 0.55938} +{"mode": "train", "epoch": 224, "iter": 140800, "lr": 1e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.17858, "decode.acc_seg": 75.18121, "aux.loss_seg": 0.15449, "aux.acc_seg": 69.34049, "loss": 0.33306, "time": 0.40102} +{"mode": "train", "epoch": 224, "iter": 140850, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.17894, "decode.acc_seg": 74.78881, "aux.loss_seg": 0.15311, "aux.acc_seg": 69.14247, "loss": 0.33205, "time": 0.40069} +{"mode": "train", "epoch": 224, "iter": 140900, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18092, "decode.acc_seg": 74.45912, "aux.loss_seg": 0.15277, "aux.acc_seg": 68.96596, "loss": 0.3337, "time": 0.40279} +{"mode": "train", "epoch": 224, "iter": 140950, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.18433, "decode.acc_seg": 74.48365, "aux.loss_seg": 0.15553, "aux.acc_seg": 68.92294, "loss": 0.33985, "time": 0.40207} +{"mode": "train", "epoch": 224, "iter": 141000, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.18014, "decode.acc_seg": 75.39681, "aux.loss_seg": 0.15322, "aux.acc_seg": 69.99939, "loss": 0.33335, "time": 0.4015} +{"mode": "train", "epoch": 224, "iter": 141050, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.17944, "decode.acc_seg": 74.57721, "aux.loss_seg": 0.14946, "aux.acc_seg": 69.26914, "loss": 0.3289, "time": 0.40076} +{"mode": "train", "epoch": 224, "iter": 141100, "lr": 1e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17661, "decode.acc_seg": 74.8427, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.55448, "loss": 0.32636, "time": 0.40094} +{"mode": "train", "epoch": 224, "iter": 141150, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17402, "decode.acc_seg": 73.95334, "aux.loss_seg": 0.14606, "aux.acc_seg": 68.63198, "loss": 0.32007, "time": 0.40118} +{"mode": "train", "epoch": 224, "iter": 141200, "lr": 1e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.17233, "decode.acc_seg": 75.37249, "aux.loss_seg": 0.14787, "aux.acc_seg": 69.99578, "loss": 0.3202, "time": 0.4003} +{"mode": "train", "epoch": 224, "iter": 141250, "lr": 1e-05, "memory": 22018, "data_time": 0.00743, "decode.loss_seg": 0.17362, "decode.acc_seg": 74.56957, "aux.loss_seg": 0.14903, "aux.acc_seg": 69.15545, "loss": 0.32265, "time": 0.40186} +{"mode": "train", "epoch": 224, "iter": 141300, "lr": 1e-05, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.17766, "decode.acc_seg": 74.25397, "aux.loss_seg": 0.15072, "aux.acc_seg": 68.79445, "loss": 0.32839, "time": 0.4023} +{"mode": "train", "epoch": 225, "iter": 141350, "lr": 1e-05, "memory": 22018, "data_time": 0.1764, "decode.loss_seg": 0.17695, "decode.acc_seg": 75.01067, "aux.loss_seg": 0.151, "aux.acc_seg": 69.56196, "loss": 0.32794, "time": 0.56913} +{"mode": "train", "epoch": 225, "iter": 141400, "lr": 1e-05, "memory": 22018, "data_time": 0.00675, "decode.loss_seg": 0.18198, "decode.acc_seg": 74.52315, "aux.loss_seg": 0.15263, "aux.acc_seg": 69.01216, "loss": 0.33461, "time": 0.39817} +{"mode": "train", "epoch": 225, "iter": 141450, "lr": 1e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.17907, "decode.acc_seg": 74.04128, "aux.loss_seg": 0.14862, "aux.acc_seg": 68.68422, "loss": 0.32769, "time": 0.39859} +{"mode": "train", "epoch": 225, "iter": 141500, "lr": 1e-05, "memory": 22018, "data_time": 0.00691, "decode.loss_seg": 0.17301, "decode.acc_seg": 74.36245, "aux.loss_seg": 0.14468, "aux.acc_seg": 69.06758, "loss": 0.3177, "time": 0.40093} +{"mode": "train", "epoch": 225, "iter": 141550, "lr": 1e-05, "memory": 22018, "data_time": 0.00709, "decode.loss_seg": 0.17452, "decode.acc_seg": 75.04995, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.81003, "loss": 0.32194, "time": 0.40044} +{"mode": "train", "epoch": 225, "iter": 141600, "lr": 1e-05, "memory": 22018, "data_time": 0.00658, "decode.loss_seg": 0.17541, "decode.acc_seg": 75.62906, "aux.loss_seg": 0.1482, "aux.acc_seg": 70.18874, "loss": 0.3236, "time": 0.39998} +{"mode": "train", "epoch": 225, "iter": 141650, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.17914, "decode.acc_seg": 74.27945, "aux.loss_seg": 0.1495, "aux.acc_seg": 69.00667, "loss": 0.32864, "time": 0.39948} +{"mode": "train", "epoch": 225, "iter": 141700, "lr": 1e-05, "memory": 22018, "data_time": 0.00681, "decode.loss_seg": 0.17864, "decode.acc_seg": 75.06305, "aux.loss_seg": 0.15091, "aux.acc_seg": 69.61783, "loss": 0.32955, "time": 0.39962} +{"mode": "train", "epoch": 225, "iter": 141750, "lr": 1e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.17066, "decode.acc_seg": 75.16446, "aux.loss_seg": 0.14622, "aux.acc_seg": 69.81397, "loss": 0.31688, "time": 0.39906} +{"mode": "train", "epoch": 225, "iter": 141800, "lr": 1e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.17702, "decode.acc_seg": 74.4908, "aux.loss_seg": 0.15222, "aux.acc_seg": 68.88838, "loss": 0.32924, "time": 0.40116} +{"mode": "train", "epoch": 225, "iter": 141850, "lr": 1e-05, "memory": 22018, "data_time": 0.00698, "decode.loss_seg": 0.18133, "decode.acc_seg": 74.76909, "aux.loss_seg": 0.15297, "aux.acc_seg": 69.2574, "loss": 0.3343, "time": 0.40034} +{"mode": "train", "epoch": 225, "iter": 141900, "lr": 1e-05, "memory": 22018, "data_time": 0.00724, "decode.loss_seg": 0.17662, "decode.acc_seg": 74.87914, "aux.loss_seg": 0.14882, "aux.acc_seg": 69.64335, "loss": 0.32544, "time": 0.40022} +{"mode": "train", "epoch": 225, "iter": 141950, "lr": 1e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.18025, "decode.acc_seg": 74.66448, "aux.loss_seg": 0.15748, "aux.acc_seg": 68.8546, "loss": 0.33773, "time": 0.40058} +{"mode": "train", "epoch": 226, "iter": 142000, "lr": 1e-05, "memory": 22018, "data_time": 0.17506, "decode.loss_seg": 0.17318, "decode.acc_seg": 74.17371, "aux.loss_seg": 0.14929, "aux.acc_seg": 68.65849, "loss": 0.32247, "time": 0.56826} +{"mode": "train", "epoch": 226, "iter": 142050, "lr": 1e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.181, "decode.acc_seg": 75.3132, "aux.loss_seg": 0.14968, "aux.acc_seg": 70.08988, "loss": 0.33068, "time": 0.40056} +{"mode": "train", "epoch": 226, "iter": 142100, "lr": 1e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.17282, "decode.acc_seg": 75.09373, "aux.loss_seg": 0.14628, "aux.acc_seg": 69.83013, "loss": 0.3191, "time": 0.40063} +{"mode": "train", "epoch": 226, "iter": 142150, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17452, "decode.acc_seg": 74.4584, "aux.loss_seg": 0.14812, "aux.acc_seg": 69.06681, "loss": 0.32265, "time": 0.40125} +{"mode": "train", "epoch": 226, "iter": 142200, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.18224, "decode.acc_seg": 74.78841, "aux.loss_seg": 0.15609, "aux.acc_seg": 69.19204, "loss": 0.33833, "time": 0.40278} +{"mode": "train", "epoch": 226, "iter": 142250, "lr": 1e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.17508, "decode.acc_seg": 73.66939, "aux.loss_seg": 0.14726, "aux.acc_seg": 68.37112, "loss": 0.32234, "time": 0.40146} +{"mode": "train", "epoch": 226, "iter": 142300, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.18225, "decode.acc_seg": 74.91492, "aux.loss_seg": 0.15148, "aux.acc_seg": 69.35667, "loss": 0.33373, "time": 0.40206} +{"mode": "train", "epoch": 226, "iter": 142350, "lr": 1e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17904, "decode.acc_seg": 74.24528, "aux.loss_seg": 0.15098, "aux.acc_seg": 68.91698, "loss": 0.33002, "time": 0.40093} +{"mode": "train", "epoch": 226, "iter": 142400, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17501, "decode.acc_seg": 74.20105, "aux.loss_seg": 0.15012, "aux.acc_seg": 68.63566, "loss": 0.32513, "time": 0.40091} +{"mode": "train", "epoch": 226, "iter": 142450, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.17332, "decode.acc_seg": 75.43216, "aux.loss_seg": 0.14666, "aux.acc_seg": 70.20542, "loss": 0.31998, "time": 0.40129} +{"mode": "train", "epoch": 226, "iter": 142500, "lr": 1e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.17216, "decode.acc_seg": 74.46406, "aux.loss_seg": 0.14775, "aux.acc_seg": 69.09696, "loss": 0.31991, "time": 0.40076} +{"mode": "train", "epoch": 226, "iter": 142550, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17598, "decode.acc_seg": 75.62114, "aux.loss_seg": 0.14863, "aux.acc_seg": 70.12694, "loss": 0.32462, "time": 0.40146} +{"mode": "train", "epoch": 226, "iter": 142600, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18007, "decode.acc_seg": 74.91016, "aux.loss_seg": 0.15319, "aux.acc_seg": 69.2715, "loss": 0.33326, "time": 0.40285} +{"mode": "train", "epoch": 227, "iter": 142650, "lr": 1e-05, "memory": 22018, "data_time": 0.17707, "decode.loss_seg": 0.18684, "decode.acc_seg": 73.94537, "aux.loss_seg": 0.15007, "aux.acc_seg": 68.91584, "loss": 0.3369, "time": 0.56955} +{"mode": "train", "epoch": 227, "iter": 142700, "lr": 1e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.17277, "decode.acc_seg": 75.22195, "aux.loss_seg": 0.14822, "aux.acc_seg": 69.88814, "loss": 0.32099, "time": 0.40152} +{"mode": "train", "epoch": 227, "iter": 142750, "lr": 1e-05, "memory": 22018, "data_time": 0.00985, "decode.loss_seg": 0.1781, "decode.acc_seg": 74.60574, "aux.loss_seg": 0.15052, "aux.acc_seg": 69.15364, "loss": 0.32863, "time": 0.40247} +{"mode": "train", "epoch": 227, "iter": 142800, "lr": 1e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.18082, "decode.acc_seg": 74.28083, "aux.loss_seg": 0.14984, "aux.acc_seg": 68.91045, "loss": 0.33066, "time": 0.40368} +{"mode": "train", "epoch": 227, "iter": 142850, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.18186, "decode.acc_seg": 74.94874, "aux.loss_seg": 0.14799, "aux.acc_seg": 69.84154, "loss": 0.32985, "time": 0.40262} +{"mode": "train", "epoch": 227, "iter": 142900, "lr": 1e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.18243, "decode.acc_seg": 75.08109, "aux.loss_seg": 0.15669, "aux.acc_seg": 69.46497, "loss": 0.33912, "time": 0.40262} +{"mode": "train", "epoch": 227, "iter": 142950, "lr": 1e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.17761, "decode.acc_seg": 75.88038, "aux.loss_seg": 0.14977, "aux.acc_seg": 70.51238, "loss": 0.32738, "time": 0.40226} +{"mode": "train", "epoch": 227, "iter": 143000, "lr": 1e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.18105, "decode.acc_seg": 75.17269, "aux.loss_seg": 0.15357, "aux.acc_seg": 69.64754, "loss": 0.33462, "time": 0.40383} +{"mode": "train", "epoch": 227, "iter": 143050, "lr": 1e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.17437, "decode.acc_seg": 74.22447, "aux.loss_seg": 0.14605, "aux.acc_seg": 69.03867, "loss": 0.32042, "time": 0.40317} +{"mode": "train", "epoch": 227, "iter": 143100, "lr": 1e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.17368, "decode.acc_seg": 74.40123, "aux.loss_seg": 0.14653, "aux.acc_seg": 69.14335, "loss": 0.32021, "time": 0.40346} +{"mode": "train", "epoch": 227, "iter": 143150, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.18568, "decode.acc_seg": 74.88742, "aux.loss_seg": 0.15421, "aux.acc_seg": 69.49511, "loss": 0.33989, "time": 0.40265} +{"mode": "train", "epoch": 227, "iter": 143200, "lr": 1e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.18161, "decode.acc_seg": 74.28268, "aux.loss_seg": 0.14778, "aux.acc_seg": 69.10413, "loss": 0.3294, "time": 0.40235} +{"mode": "train", "epoch": 228, "iter": 143250, "lr": 1e-05, "memory": 22018, "data_time": 0.16978, "decode.loss_seg": 0.18183, "decode.acc_seg": 74.53919, "aux.loss_seg": 0.15205, "aux.acc_seg": 69.0791, "loss": 0.33388, "time": 0.56241} +{"mode": "train", "epoch": 228, "iter": 143300, "lr": 1e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.17639, "decode.acc_seg": 75.12756, "aux.loss_seg": 0.14895, "aux.acc_seg": 69.76502, "loss": 0.32535, "time": 0.40152} +{"mode": "train", "epoch": 228, "iter": 143350, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.17717, "decode.acc_seg": 74.69517, "aux.loss_seg": 0.15054, "aux.acc_seg": 69.28629, "loss": 0.32771, "time": 0.40204} +{"mode": "train", "epoch": 228, "iter": 143400, "lr": 1e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.17275, "decode.acc_seg": 75.11677, "aux.loss_seg": 0.14892, "aux.acc_seg": 69.73115, "loss": 0.32167, "time": 0.40203} +{"mode": "train", "epoch": 228, "iter": 143450, "lr": 1e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17664, "decode.acc_seg": 74.61663, "aux.loss_seg": 0.14877, "aux.acc_seg": 69.2356, "loss": 0.32542, "time": 0.40228} +{"mode": "train", "epoch": 228, "iter": 143500, "lr": 1e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.17742, "decode.acc_seg": 75.23336, "aux.loss_seg": 0.14779, "aux.acc_seg": 69.89853, "loss": 0.32522, "time": 0.40283} +{"mode": "train", "epoch": 228, "iter": 143550, "lr": 1e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.17536, "decode.acc_seg": 74.80661, "aux.loss_seg": 0.15211, "aux.acc_seg": 69.16154, "loss": 0.32746, "time": 0.40217} +{"mode": "train", "epoch": 228, "iter": 143600, "lr": 1e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.18157, "decode.acc_seg": 74.53558, "aux.loss_seg": 0.15193, "aux.acc_seg": 69.15651, "loss": 0.3335, "time": 0.40157} +{"mode": "train", "epoch": 228, "iter": 143650, "lr": 1e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.1722, "decode.acc_seg": 74.53617, "aux.loss_seg": 0.14921, "aux.acc_seg": 69.06632, "loss": 0.32141, "time": 0.40246} +{"mode": "train", "epoch": 228, "iter": 143700, "lr": 1e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.18391, "decode.acc_seg": 74.15997, "aux.loss_seg": 0.15278, "aux.acc_seg": 68.79114, "loss": 0.3367, "time": 0.40328} +{"mode": "train", "epoch": 228, "iter": 143750, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.17915, "decode.acc_seg": 75.43938, "aux.loss_seg": 0.15179, "aux.acc_seg": 69.93708, "loss": 0.33093, "time": 0.40285} +{"mode": "train", "epoch": 228, "iter": 143800, "lr": 1e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.17434, "decode.acc_seg": 74.63607, "aux.loss_seg": 0.14673, "aux.acc_seg": 69.32177, "loss": 0.32107, "time": 0.40348} +{"mode": "train", "epoch": 228, "iter": 143850, "lr": 1e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.17659, "decode.acc_seg": 73.99621, "aux.loss_seg": 0.15015, "aux.acc_seg": 68.55958, "loss": 0.32674, "time": 0.40199} +{"mode": "train", "epoch": 229, "iter": 143900, "lr": 1e-05, "memory": 22018, "data_time": 0.17007, "decode.loss_seg": 0.17783, "decode.acc_seg": 74.96229, "aux.loss_seg": 0.15422, "aux.acc_seg": 69.323, "loss": 0.33205, "time": 0.56227} +{"mode": "train", "epoch": 229, "iter": 143950, "lr": 1e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.17656, "decode.acc_seg": 75.52939, "aux.loss_seg": 0.1458, "aux.acc_seg": 70.38969, "loss": 0.32236, "time": 0.39875} +{"mode": "val", "epoch": 229, "iter": 144000, "lr": 1e-05, "mIoU": 0.4617, "mAcc": 0.5757, "aAcc": 0.8174, "IoU.wall": 0.7537, "IoU.building": 0.8158, "IoU.sky": 0.937, "IoU.floor": 0.8011, "IoU.tree": 0.7218, "IoU.ceiling": 0.8334, "IoU.road": 0.816, "IoU.bed ": 0.864, "IoU.windowpane": 0.601, "IoU.grass": 0.6673, "IoU.cabinet": 0.5906, "IoU.sidewalk": 0.6269, "IoU.person": 0.764, "IoU.earth": 0.3443, "IoU.door": 0.4326, "IoU.table": 0.5694, "IoU.mountain": 0.6012, "IoU.plant": 0.4944, "IoU.curtain": 0.7177, "IoU.chair": 0.5307, "IoU.car": 0.8187, "IoU.water": 0.51, "IoU.painting": 0.7031, "IoU.sofa": 0.6092, "IoU.shelf": 0.3764, "IoU.house": 0.4248, "IoU.sea": 0.5181, "IoU.mirror": 0.6142, "IoU.rug": 0.5822, "IoU.field": 0.3267, "IoU.armchair": 0.3272, "IoU.seat": 0.5639, "IoU.fence": 0.4373, "IoU.desk": 0.4778, "IoU.rock": 0.4558, "IoU.wardrobe": 0.5177, "IoU.lamp": 0.5706, "IoU.bathtub": 0.7685, "IoU.railing": 0.3306, "IoU.cushion": 0.5191, "IoU.base": 0.273, "IoU.box": 0.215, "IoU.column": 0.4094, "IoU.signboard": 0.336, "IoU.chest of drawers": 0.3666, "IoU.counter": 0.2679, "IoU.sand": 0.341, "IoU.sink": 0.6924, "IoU.skyscraper": 0.6932, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6236, "IoU.grandstand": 0.4233, "IoU.path": 0.2146, "IoU.stairs": 0.2739, "IoU.runway": 0.6447, "IoU.case": 0.3693, "IoU.pool table": 0.9128, "IoU.pillow": 0.5265, "IoU.screen door": 0.6523, "IoU.stairway": 0.2791, "IoU.river": 0.0961, "IoU.bridge": 0.6028, "IoU.bookcase": 0.4483, "IoU.blind": NaN, "IoU.coffee table": 0.5259, "IoU.toilet": 0.8329, "IoU.flower": 0.4099, "IoU.book": 0.4589, "IoU.hill": 0.14, "IoU.bench": 0.3971, "IoU.countertop": 0.5302, "IoU.stove": 0.7052, "IoU.palm": 0.4197, "IoU.kitchen island": 0.3116, "IoU.computer": 0.5689, "IoU.swivel chair": 0.3959, "IoU.boat": 0.5303, "IoU.bar": 0.3489, "IoU.arcade machine": 0.3944, "IoU.hovel": 0.3034, "IoU.bus": 0.844, "IoU.towel": 0.6117, "IoU.light": 0.5369, "IoU.truck": 0.3561, "IoU.tower": 0.0856, "IoU.chandelier": 0.6224, "IoU.awning": 0.3051, "IoU.streetlight": 0.2007, "IoU.booth": 0.541, "IoU.television receiver": NaN, "IoU.airplane": 0.5388, "IoU.dirt track": 0.2646, "IoU.apparel": 0.3417, "IoU.pole": 0.1597, "IoU.land": 0.0024, "IoU.bannister": 0.1112, "IoU.escalator": 0.2281, "IoU.ottoman": 0.3543, "IoU.bottle": NaN, "IoU.buffet": 0.3409, "IoU.poster": 0.3009, "IoU.stage": 0.1777, "IoU.van": 0.4296, "IoU.ship": 0.6214, "IoU.fountain": 0.2475, "IoU.conveyer belt": 0.7611, "IoU.canopy": 0.2193, "IoU.washer": 0.7055, "IoU.plaything": 0.1915, "IoU.swimming pool": 0.6272, "IoU.stool": 0.417, "IoU.barrel": 0.4585, "IoU.basket": 0.23, "IoU.waterfall": 0.558, "IoU.tent": 0.9248, "IoU.bag": 0.1491, "IoU.minibike": 0.6262, "IoU.cradle": NaN, "IoU.oven": 0.4569, "IoU.ball": 0.3746, "IoU.food": 0.4564, "IoU.step": 0.1133, "IoU.tank": 0.4391, "IoU.trade name": 0.2113, "IoU.microwave": 0.7338, "IoU.pot": 0.4706, "IoU.animal": NaN, "IoU.bicycle": 0.5062, "IoU.lake": 0.5045, "IoU.dishwasher": 0.473, "IoU.screen": 0.5894, "IoU.blanket": 0.1186, "IoU.sculpture": 0.5673, "IoU.hood": 0.5717, "IoU.sconce": 0.4002, "IoU.vase": 0.3069, "IoU.traffic light": 0.2503, "IoU.tray": 0.0736, "IoU.ashcan": 0.3268, "IoU.fan": 0.5413, "IoU.pier": 0.6237, "IoU.crt screen": 0.0803, "IoU.plate": 0.5355, "IoU.monitor": 0.1923, "IoU.bulletin board": 0.3434, "IoU.shower": 0.0189, "IoU.radiator": 0.4606, "IoU.glass": 0.1139, "IoU.clock": 0.383, "IoU.flag": 0.2862, "Acc.wall": 0.8771, "Acc.building": 0.9176, "Acc.sky": 0.9724, "Acc.floor": 0.9023, "Acc.tree": 0.8654, "Acc.ceiling": 0.9167, "Acc.road": 0.8921, "Acc.bed ": 0.9479, "Acc.windowpane": 0.7705, "Acc.grass": 0.8183, "Acc.cabinet": 0.7313, "Acc.sidewalk": 0.8111, "Acc.person": 0.905, "Acc.earth": 0.4835, "Acc.door": 0.5523, "Acc.table": 0.7397, "Acc.mountain": 0.77, "Acc.plant": 0.6072, "Acc.curtain": 0.8397, "Acc.chair": 0.6823, "Acc.car": 0.9031, "Acc.water": 0.665, "Acc.painting": 0.8655, "Acc.sofa": 0.8199, "Acc.shelf": 0.5121, "Acc.house": 0.6453, "Acc.sea": 0.7602, "Acc.mirror": 0.6949, "Acc.rug": 0.6504, "Acc.field": 0.4237, "Acc.armchair": 0.4508, "Acc.seat": 0.7485, "Acc.fence": 0.6011, "Acc.desk": 0.6765, "Acc.rock": 0.7062, "Acc.wardrobe": 0.6641, "Acc.lamp": 0.7074, "Acc.bathtub": 0.8283, "Acc.railing": 0.4394, "Acc.cushion": 0.6741, "Acc.base": 0.387, "Acc.box": 0.2822, "Acc.column": 0.5201, "Acc.signboard": 0.474, "Acc.chest of drawers": 0.5164, "Acc.counter": 0.3149, "Acc.sand": 0.5265, "Acc.sink": 0.7934, "Acc.skyscraper": 0.8621, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7726, "Acc.grandstand": 0.6071, "Acc.path": 0.3032, "Acc.stairs": 0.3311, "Acc.runway": 0.8552, "Acc.case": 0.4793, "Acc.pool table": 0.9593, "Acc.pillow": 0.6231, "Acc.screen door": 0.7228, "Acc.stairway": 0.403, "Acc.river": 0.1789, "Acc.bridge": 0.7756, "Acc.bookcase": 0.5518, "Acc.blind": NaN, "Acc.coffee table": 0.7801, "Acc.toilet": 0.8867, "Acc.flower": 0.5591, "Acc.book": 0.6801, "Acc.hill": 0.167, "Acc.bench": 0.46, "Acc.countertop": 0.7082, "Acc.stove": 0.8084, "Acc.palm": 0.663, "Acc.kitchen island": 0.5567, "Acc.computer": 0.6859, "Acc.swivel chair": 0.5457, "Acc.boat": 0.6053, "Acc.bar": 0.4468, "Acc.arcade machine": 0.4091, "Acc.hovel": 0.3237, "Acc.bus": 0.9207, "Acc.towel": 0.7411, "Acc.light": 0.6329, "Acc.truck": 0.4765, "Acc.tower": 0.1103, "Acc.chandelier": 0.7644, "Acc.awning": 0.3641, "Acc.streetlight": 0.2682, "Acc.booth": 0.6631, "Acc.television receiver": NaN, "Acc.airplane": 0.6198, "Acc.dirt track": 0.4563, "Acc.apparel": 0.4595, "Acc.pole": 0.2349, "Acc.land": 0.0028, "Acc.bannister": 0.1475, "Acc.escalator": 0.2777, "Acc.ottoman": 0.5497, "Acc.bottle": NaN, "Acc.buffet": 0.3754, "Acc.poster": 0.3972, "Acc.stage": 0.2426, "Acc.van": 0.5755, "Acc.ship": 0.9306, "Acc.fountain": 0.26, "Acc.conveyer belt": 0.8632, "Acc.canopy": 0.2636, "Acc.washer": 0.7269, "Acc.plaything": 0.2615, "Acc.swimming pool": 0.7734, "Acc.stool": 0.4978, "Acc.barrel": 0.6613, "Acc.basket": 0.4112, "Acc.waterfall": 0.6095, "Acc.tent": 0.9851, "Acc.bag": 0.2097, "Acc.minibike": 0.7454, "Acc.cradle": NaN, "Acc.oven": 0.5892, "Acc.ball": 0.4536, "Acc.food": 0.5214, "Acc.step": 0.1296, "Acc.tank": 0.5157, "Acc.trade name": 0.2495, "Acc.microwave": 0.8158, "Acc.pot": 0.556, "Acc.animal": NaN, "Acc.bicycle": 0.6966, "Acc.lake": 0.6241, "Acc.dishwasher": 0.5914, "Acc.screen": 0.8021, "Acc.blanket": 0.1341, "Acc.sculpture": 0.658, "Acc.hood": 0.6332, "Acc.sconce": 0.4925, "Acc.vase": 0.4437, "Acc.traffic light": 0.376, "Acc.tray": 0.1598, "Acc.ashcan": 0.425, "Acc.fan": 0.6801, "Acc.pier": 0.8583, "Acc.crt screen": 0.1874, "Acc.plate": 0.6753, "Acc.monitor": 0.2122, "Acc.bulletin board": 0.4715, "Acc.shower": 0.0594, "Acc.radiator": 0.5365, "Acc.glass": 0.1206, "Acc.clock": 0.4478, "Acc.flag": 0.3405} +{"mode": "train", "epoch": 229, "iter": 144050, "lr": 1e-05, "memory": 22018, "data_time": 1.72434, "decode.loss_seg": 0.18194, "decode.acc_seg": 74.76952, "aux.loss_seg": 0.15123, "aux.acc_seg": 69.50725, "loss": 0.33316, "time": 2.11817} +{"mode": "train", "epoch": 229, "iter": 144100, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.17738, "decode.acc_seg": 74.63395, "aux.loss_seg": 0.14767, "aux.acc_seg": 69.38748, "loss": 0.32506, "time": 0.40198} +{"mode": "train", "epoch": 229, "iter": 144150, "lr": 1e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.17695, "decode.acc_seg": 75.44354, "aux.loss_seg": 0.14638, "aux.acc_seg": 70.32569, "loss": 0.32334, "time": 0.39984} +{"mode": "train", "epoch": 229, "iter": 144200, "lr": 1e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.17636, "decode.acc_seg": 74.30018, "aux.loss_seg": 0.14872, "aux.acc_seg": 68.96144, "loss": 0.32508, "time": 0.39926} +{"mode": "train", "epoch": 229, "iter": 144250, "lr": 1e-05, "memory": 22018, "data_time": 0.00663, "decode.loss_seg": 0.17454, "decode.acc_seg": 74.52359, "aux.loss_seg": 0.1472, "aux.acc_seg": 69.20187, "loss": 0.32174, "time": 0.39836} +{"mode": "train", "epoch": 229, "iter": 144300, "lr": 1e-05, "memory": 22018, "data_time": 0.0066, "decode.loss_seg": 0.17297, "decode.acc_seg": 75.08419, "aux.loss_seg": 0.15079, "aux.acc_seg": 69.44784, "loss": 0.32376, "time": 0.39812} +{"mode": "train", "epoch": 229, "iter": 144350, "lr": 1e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.91543, "aux.loss_seg": 0.15229, "aux.acc_seg": 69.48565, "loss": 0.33051, "time": 0.40062} +{"mode": "train", "epoch": 229, "iter": 144400, "lr": 1e-05, "memory": 22018, "data_time": 0.00699, "decode.loss_seg": 0.17483, "decode.acc_seg": 74.57339, "aux.loss_seg": 0.14663, "aux.acc_seg": 69.12771, "loss": 0.32146, "time": 0.40044} +{"mode": "train", "epoch": 229, "iter": 144450, "lr": 1e-05, "memory": 22018, "data_time": 0.00673, "decode.loss_seg": 0.18087, "decode.acc_seg": 74.24442, "aux.loss_seg": 0.15306, "aux.acc_seg": 68.65643, "loss": 0.33393, "time": 0.39964} +{"mode": "train", "epoch": 229, "iter": 144500, "lr": 1e-05, "memory": 22018, "data_time": 0.17206, "decode.loss_seg": 0.17854, "decode.acc_seg": 74.93407, "aux.loss_seg": 0.14887, "aux.acc_seg": 69.72596, "loss": 0.32741, "time": 0.56479} +{"mode": "train", "epoch": 230, "iter": 144550, "lr": 1e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.17677, "decode.acc_seg": 74.34847, "aux.loss_seg": 0.15447, "aux.acc_seg": 68.52238, "loss": 0.33124, "time": 0.40151} +{"mode": "train", "epoch": 230, "iter": 144600, "lr": 1e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.18105, "decode.acc_seg": 75.19676, "aux.loss_seg": 0.15106, "aux.acc_seg": 69.7852, "loss": 0.33212, "time": 0.40345} +{"mode": "train", "epoch": 230, "iter": 144650, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.17849, "decode.acc_seg": 75.19613, "aux.loss_seg": 0.1487, "aux.acc_seg": 69.95669, "loss": 0.32719, "time": 0.4011} +{"mode": "train", "epoch": 230, "iter": 144700, "lr": 1e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.18276, "decode.acc_seg": 75.32631, "aux.loss_seg": 0.14969, "aux.acc_seg": 70.17466, "loss": 0.33245, "time": 0.40229} +{"mode": "train", "epoch": 230, "iter": 144750, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.1737, "decode.acc_seg": 74.76777, "aux.loss_seg": 0.14479, "aux.acc_seg": 69.64198, "loss": 0.31849, "time": 0.40092} +{"mode": "train", "epoch": 230, "iter": 144800, "lr": 1e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.1784, "decode.acc_seg": 75.74432, "aux.loss_seg": 0.15179, "aux.acc_seg": 70.28523, "loss": 0.33019, "time": 0.40131} +{"mode": "train", "epoch": 230, "iter": 144850, "lr": 1e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.17681, "decode.acc_seg": 75.31364, "aux.loss_seg": 0.14869, "aux.acc_seg": 69.92309, "loss": 0.3255, "time": 0.40162} +{"mode": "train", "epoch": 230, "iter": 144900, "lr": 1e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.17804, "decode.acc_seg": 74.43588, "aux.loss_seg": 0.15058, "aux.acc_seg": 68.99505, "loss": 0.32862, "time": 0.40061} +{"mode": "train", "epoch": 230, "iter": 144950, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17338, "decode.acc_seg": 74.94858, "aux.loss_seg": 0.14635, "aux.acc_seg": 69.65547, "loss": 0.31974, "time": 0.40096} +{"mode": "train", "epoch": 230, "iter": 145000, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.17696, "decode.acc_seg": 74.69197, "aux.loss_seg": 0.15016, "aux.acc_seg": 69.22251, "loss": 0.32712, "time": 0.40031} +{"mode": "train", "epoch": 230, "iter": 145050, "lr": 1e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.16788, "decode.acc_seg": 74.13633, "aux.loss_seg": 0.14182, "aux.acc_seg": 68.99691, "loss": 0.3097, "time": 0.40096} +{"mode": "train", "epoch": 230, "iter": 145100, "lr": 1e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.1736, "decode.acc_seg": 74.84465, "aux.loss_seg": 0.14846, "aux.acc_seg": 69.46395, "loss": 0.32207, "time": 0.40269} +{"mode": "train", "epoch": 231, "iter": 145150, "lr": 1e-05, "memory": 22018, "data_time": 0.18661, "decode.loss_seg": 0.17603, "decode.acc_seg": 74.71741, "aux.loss_seg": 0.15045, "aux.acc_seg": 69.31334, "loss": 0.32648, "time": 0.58142} +{"mode": "train", "epoch": 231, "iter": 145200, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.17656, "decode.acc_seg": 73.76674, "aux.loss_seg": 0.14943, "aux.acc_seg": 68.36587, "loss": 0.32599, "time": 0.40324} +{"mode": "train", "epoch": 231, "iter": 145250, "lr": 1e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.176, "decode.acc_seg": 74.06729, "aux.loss_seg": 0.15244, "aux.acc_seg": 68.42668, "loss": 0.32844, "time": 0.40316} +{"mode": "train", "epoch": 231, "iter": 145300, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.17912, "decode.acc_seg": 75.05265, "aux.loss_seg": 0.15529, "aux.acc_seg": 69.25897, "loss": 0.33441, "time": 0.40122} +{"mode": "train", "epoch": 231, "iter": 145350, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.17954, "decode.acc_seg": 73.8536, "aux.loss_seg": 0.15346, "aux.acc_seg": 68.166, "loss": 0.33299, "time": 0.40066} +{"mode": "train", "epoch": 231, "iter": 145400, "lr": 1e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.18147, "decode.acc_seg": 74.84383, "aux.loss_seg": 0.15182, "aux.acc_seg": 69.50489, "loss": 0.33329, "time": 0.40071} +{"mode": "train", "epoch": 231, "iter": 145450, "lr": 1e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.17153, "decode.acc_seg": 74.9164, "aux.loss_seg": 0.14686, "aux.acc_seg": 69.51938, "loss": 0.3184, "time": 0.39897} +{"mode": "train", "epoch": 231, "iter": 145500, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.17614, "decode.acc_seg": 74.50965, "aux.loss_seg": 0.14856, "aux.acc_seg": 69.13981, "loss": 0.3247, "time": 0.40082} +{"mode": "train", "epoch": 231, "iter": 145550, "lr": 1e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.17828, "decode.acc_seg": 75.14719, "aux.loss_seg": 0.14972, "aux.acc_seg": 69.68528, "loss": 0.328, "time": 0.40048} +{"mode": "train", "epoch": 231, "iter": 145600, "lr": 1e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.17121, "decode.acc_seg": 74.40281, "aux.loss_seg": 0.14313, "aux.acc_seg": 69.29121, "loss": 0.31435, "time": 0.40028} +{"mode": "train", "epoch": 231, "iter": 145650, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.17635, "decode.acc_seg": 74.07734, "aux.loss_seg": 0.1489, "aux.acc_seg": 68.57179, "loss": 0.32525, "time": 0.4005} +{"mode": "train", "epoch": 231, "iter": 145700, "lr": 1e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.17713, "decode.acc_seg": 75.19946, "aux.loss_seg": 0.14915, "aux.acc_seg": 69.87768, "loss": 0.32629, "time": 0.40022} +{"mode": "train", "epoch": 231, "iter": 145750, "lr": 1e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.17694, "decode.acc_seg": 75.35562, "aux.loss_seg": 0.14893, "aux.acc_seg": 69.93366, "loss": 0.32586, "time": 0.40157} +{"mode": "train", "epoch": 232, "iter": 145800, "lr": 1e-05, "memory": 22018, "data_time": 0.17406, "decode.loss_seg": 0.17649, "decode.acc_seg": 75.13601, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.46397, "loss": 0.32829, "time": 0.56736} +{"mode": "train", "epoch": 232, "iter": 145850, "lr": 1e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.17188, "decode.acc_seg": 75.11524, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.56084, "loss": 0.32131, "time": 0.40197} +{"mode": "train", "epoch": 232, "iter": 145900, "lr": 1e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.17675, "decode.acc_seg": 74.50645, "aux.loss_seg": 0.14685, "aux.acc_seg": 69.31058, "loss": 0.3236, "time": 0.40241} +{"mode": "train", "epoch": 232, "iter": 145950, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.17706, "decode.acc_seg": 74.76599, "aux.loss_seg": 0.15196, "aux.acc_seg": 69.29674, "loss": 0.32902, "time": 0.40209} +{"mode": "train", "epoch": 232, "iter": 146000, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.16725, "decode.acc_seg": 75.56836, "aux.loss_seg": 0.14366, "aux.acc_seg": 70.33777, "loss": 0.31091, "time": 0.40218} +{"mode": "train", "epoch": 232, "iter": 146050, "lr": 1e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.18028, "decode.acc_seg": 75.52142, "aux.loss_seg": 0.15484, "aux.acc_seg": 69.94289, "loss": 0.33511, "time": 0.40223} +{"mode": "train", "epoch": 232, "iter": 146100, "lr": 1e-05, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.18327, "decode.acc_seg": 74.96536, "aux.loss_seg": 0.15572, "aux.acc_seg": 69.25785, "loss": 0.33899, "time": 0.4036} +{"mode": "train", "epoch": 232, "iter": 146150, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17018, "decode.acc_seg": 74.77186, "aux.loss_seg": 0.14677, "aux.acc_seg": 69.44617, "loss": 0.31694, "time": 0.40279} +{"mode": "train", "epoch": 232, "iter": 146200, "lr": 1e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.17218, "decode.acc_seg": 74.4126, "aux.loss_seg": 0.1468, "aux.acc_seg": 69.19894, "loss": 0.31898, "time": 0.40289} +{"mode": "train", "epoch": 232, "iter": 146250, "lr": 1e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.18483, "decode.acc_seg": 75.27161, "aux.loss_seg": 0.15226, "aux.acc_seg": 69.9299, "loss": 0.33708, "time": 0.40185} +{"mode": "train", "epoch": 232, "iter": 146300, "lr": 1e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.17371, "decode.acc_seg": 75.40972, "aux.loss_seg": 0.1504, "aux.acc_seg": 69.94847, "loss": 0.3241, "time": 0.4031} +{"mode": "train", "epoch": 232, "iter": 146350, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18131, "decode.acc_seg": 74.88896, "aux.loss_seg": 0.15192, "aux.acc_seg": 69.41699, "loss": 0.33322, "time": 0.40394} +{"mode": "train", "epoch": 233, "iter": 146400, "lr": 1e-05, "memory": 22018, "data_time": 0.17045, "decode.loss_seg": 0.17582, "decode.acc_seg": 74.76253, "aux.loss_seg": 0.14828, "aux.acc_seg": 69.45146, "loss": 0.32411, "time": 0.56514} +{"mode": "train", "epoch": 233, "iter": 146450, "lr": 1e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.17795, "decode.acc_seg": 74.94728, "aux.loss_seg": 0.14851, "aux.acc_seg": 69.59652, "loss": 0.32646, "time": 0.40206} +{"mode": "train", "epoch": 233, "iter": 146500, "lr": 1e-05, "memory": 22018, "data_time": 0.01016, "decode.loss_seg": 0.1759, "decode.acc_seg": 74.98671, "aux.loss_seg": 0.14597, "aux.acc_seg": 69.94042, "loss": 0.32188, "time": 0.40193} +{"mode": "train", "epoch": 233, "iter": 146550, "lr": 1e-05, "memory": 22018, "data_time": 0.0101, "decode.loss_seg": 0.17608, "decode.acc_seg": 75.6986, "aux.loss_seg": 0.15124, "aux.acc_seg": 70.24038, "loss": 0.32732, "time": 0.4016} +{"mode": "train", "epoch": 233, "iter": 146600, "lr": 1e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.17924, "decode.acc_seg": 74.4143, "aux.loss_seg": 0.15211, "aux.acc_seg": 68.84191, "loss": 0.33135, "time": 0.40389} +{"mode": "train", "epoch": 233, "iter": 146650, "lr": 1e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.18293, "decode.acc_seg": 74.94196, "aux.loss_seg": 0.15142, "aux.acc_seg": 69.56917, "loss": 0.33435, "time": 0.40484} +{"mode": "train", "epoch": 233, "iter": 146700, "lr": 0.0, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.17931, "decode.acc_seg": 74.58192, "aux.loss_seg": 0.14906, "aux.acc_seg": 69.34317, "loss": 0.32837, "time": 0.40358} +{"mode": "train", "epoch": 233, "iter": 146750, "lr": 0.0, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.17214, "decode.acc_seg": 74.63701, "aux.loss_seg": 0.14732, "aux.acc_seg": 69.22195, "loss": 0.31947, "time": 0.40302} +{"mode": "train", "epoch": 233, "iter": 146800, "lr": 0.0, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.17808, "decode.acc_seg": 74.08768, "aux.loss_seg": 0.1487, "aux.acc_seg": 68.79203, "loss": 0.32678, "time": 0.40384} +{"mode": "train", "epoch": 233, "iter": 146850, "lr": 0.0, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.17189, "decode.acc_seg": 75.07247, "aux.loss_seg": 0.14737, "aux.acc_seg": 69.62716, "loss": 0.31926, "time": 0.404} +{"mode": "train", "epoch": 233, "iter": 146900, "lr": 0.0, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.17814, "decode.acc_seg": 75.70218, "aux.loss_seg": 0.15104, "aux.acc_seg": 70.19242, "loss": 0.32918, "time": 0.40304} +{"mode": "train", "epoch": 233, "iter": 146950, "lr": 0.0, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.17462, "decode.acc_seg": 75.90992, "aux.loss_seg": 0.14927, "aux.acc_seg": 70.50639, "loss": 0.32389, "time": 0.40199} +{"mode": "train", "epoch": 233, "iter": 147000, "lr": 0.0, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.17286, "decode.acc_seg": 74.10143, "aux.loss_seg": 0.14568, "aux.acc_seg": 68.95408, "loss": 0.31854, "time": 0.40395} +{"mode": "train", "epoch": 234, "iter": 147050, "lr": 0.0, "memory": 22018, "data_time": 0.17615, "decode.loss_seg": 0.17122, "decode.acc_seg": 75.64655, "aux.loss_seg": 0.14593, "aux.acc_seg": 70.49497, "loss": 0.31715, "time": 0.57067} +{"mode": "train", "epoch": 234, "iter": 147100, "lr": 0.0, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.17869, "decode.acc_seg": 74.66131, "aux.loss_seg": 0.15075, "aux.acc_seg": 69.25247, "loss": 0.32943, "time": 0.40345} +{"mode": "train", "epoch": 234, "iter": 147150, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.1736, "decode.acc_seg": 74.90032, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.4375, "loss": 0.32302, "time": 0.40367} +{"mode": "train", "epoch": 234, "iter": 147200, "lr": 0.0, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.1753, "decode.acc_seg": 75.02046, "aux.loss_seg": 0.14799, "aux.acc_seg": 69.70178, "loss": 0.32329, "time": 0.40348} +{"mode": "train", "epoch": 234, "iter": 147250, "lr": 0.0, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.18077, "decode.acc_seg": 74.40851, "aux.loss_seg": 0.15236, "aux.acc_seg": 69.04165, "loss": 0.33313, "time": 0.404} +{"mode": "train", "epoch": 234, "iter": 147300, "lr": 0.0, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.16808, "decode.acc_seg": 74.87338, "aux.loss_seg": 0.13966, "aux.acc_seg": 69.81827, "loss": 0.30774, "time": 0.40505} +{"mode": "train", "epoch": 234, "iter": 147350, "lr": 0.0, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.1685, "decode.acc_seg": 75.57477, "aux.loss_seg": 0.14533, "aux.acc_seg": 70.2927, "loss": 0.31383, "time": 0.40232} +{"mode": "train", "epoch": 234, "iter": 147400, "lr": 0.0, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17354, "decode.acc_seg": 73.7197, "aux.loss_seg": 0.14889, "aux.acc_seg": 68.16083, "loss": 0.32243, "time": 0.40358} +{"mode": "train", "epoch": 234, "iter": 147450, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.18009, "decode.acc_seg": 75.0544, "aux.loss_seg": 0.15532, "aux.acc_seg": 69.24597, "loss": 0.3354, "time": 0.40307} +{"mode": "train", "epoch": 234, "iter": 147500, "lr": 0.0, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.17238, "decode.acc_seg": 75.03831, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.78363, "loss": 0.31979, "time": 0.40158} +{"mode": "train", "epoch": 234, "iter": 147550, "lr": 0.0, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.17769, "decode.acc_seg": 75.19053, "aux.loss_seg": 0.14902, "aux.acc_seg": 69.98137, "loss": 0.3267, "time": 0.40204} +{"mode": "train", "epoch": 234, "iter": 147600, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17759, "decode.acc_seg": 75.01265, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.62195, "loss": 0.32912, "time": 0.40244} +{"mode": "train", "epoch": 234, "iter": 147650, "lr": 0.0, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17556, "decode.acc_seg": 74.97858, "aux.loss_seg": 0.1517, "aux.acc_seg": 69.35972, "loss": 0.32726, "time": 0.40247} +{"mode": "train", "epoch": 235, "iter": 147700, "lr": 0.0, "memory": 22018, "data_time": 0.17254, "decode.loss_seg": 0.1722, "decode.acc_seg": 75.41758, "aux.loss_seg": 0.14684, "aux.acc_seg": 70.02942, "loss": 0.31903, "time": 0.56584} +{"mode": "train", "epoch": 235, "iter": 147750, "lr": 0.0, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.17667, "decode.acc_seg": 74.65119, "aux.loss_seg": 0.15136, "aux.acc_seg": 69.19576, "loss": 0.32802, "time": 0.40191} +{"mode": "train", "epoch": 235, "iter": 147800, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17334, "decode.acc_seg": 74.89776, "aux.loss_seg": 0.15109, "aux.acc_seg": 69.3291, "loss": 0.32442, "time": 0.40219} +{"mode": "train", "epoch": 235, "iter": 147850, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.17474, "decode.acc_seg": 74.63349, "aux.loss_seg": 0.14791, "aux.acc_seg": 69.36294, "loss": 0.32265, "time": 0.40286} +{"mode": "train", "epoch": 235, "iter": 147900, "lr": 0.0, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.18474, "decode.acc_seg": 75.89041, "aux.loss_seg": 0.15738, "aux.acc_seg": 70.04728, "loss": 0.34212, "time": 0.40223} +{"mode": "train", "epoch": 235, "iter": 147950, "lr": 0.0, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17709, "decode.acc_seg": 75.01228, "aux.loss_seg": 0.15398, "aux.acc_seg": 69.20437, "loss": 0.33107, "time": 0.40129} +{"mode": "train", "epoch": 235, "iter": 148000, "lr": 0.0, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.16887, "decode.acc_seg": 75.28133, "aux.loss_seg": 0.14747, "aux.acc_seg": 69.87361, "loss": 0.31634, "time": 0.40225} +{"mode": "train", "epoch": 235, "iter": 148050, "lr": 0.0, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.17694, "decode.acc_seg": 74.38696, "aux.loss_seg": 0.14772, "aux.acc_seg": 69.1414, "loss": 0.32466, "time": 0.40124} +{"mode": "train", "epoch": 235, "iter": 148100, "lr": 0.0, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.18176, "decode.acc_seg": 74.18395, "aux.loss_seg": 0.15487, "aux.acc_seg": 68.53517, "loss": 0.33662, "time": 0.40151} +{"mode": "train", "epoch": 235, "iter": 148150, "lr": 0.0, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17887, "decode.acc_seg": 75.26665, "aux.loss_seg": 0.15349, "aux.acc_seg": 69.72906, "loss": 0.33236, "time": 0.40127} +{"mode": "train", "epoch": 235, "iter": 148200, "lr": 0.0, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.17274, "decode.acc_seg": 75.15967, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.77703, "loss": 0.32015, "time": 0.40443} +{"mode": "train", "epoch": 235, "iter": 148250, "lr": 0.0, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.18036, "decode.acc_seg": 75.86688, "aux.loss_seg": 0.14958, "aux.acc_seg": 70.57949, "loss": 0.32993, "time": 0.40168} +{"mode": "train", "epoch": 236, "iter": 148300, "lr": 0.0, "memory": 22018, "data_time": 0.1814, "decode.loss_seg": 0.17562, "decode.acc_seg": 75.45695, "aux.loss_seg": 0.14684, "aux.acc_seg": 70.25502, "loss": 0.32246, "time": 0.576} +{"mode": "train", "epoch": 236, "iter": 148350, "lr": 0.0, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.16771, "decode.acc_seg": 74.6566, "aux.loss_seg": 0.14163, "aux.acc_seg": 69.61282, "loss": 0.30934, "time": 0.40137} +{"mode": "train", "epoch": 236, "iter": 148400, "lr": 0.0, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.1729, "decode.acc_seg": 73.82861, "aux.loss_seg": 0.14613, "aux.acc_seg": 68.47554, "loss": 0.31902, "time": 0.40209} +{"mode": "train", "epoch": 236, "iter": 148450, "lr": 0.0, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.17691, "decode.acc_seg": 74.75614, "aux.loss_seg": 0.14827, "aux.acc_seg": 69.37555, "loss": 0.32518, "time": 0.40086} +{"mode": "train", "epoch": 236, "iter": 148500, "lr": 0.0, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.17528, "decode.acc_seg": 75.54598, "aux.loss_seg": 0.15601, "aux.acc_seg": 69.68313, "loss": 0.33129, "time": 0.40304} +{"mode": "train", "epoch": 236, "iter": 148550, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.17532, "decode.acc_seg": 74.99954, "aux.loss_seg": 0.15215, "aux.acc_seg": 69.33302, "loss": 0.32747, "time": 0.40199} +{"mode": "train", "epoch": 236, "iter": 148600, "lr": 0.0, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.17903, "decode.acc_seg": 75.38863, "aux.loss_seg": 0.15052, "aux.acc_seg": 69.90048, "loss": 0.32956, "time": 0.40215} +{"mode": "train", "epoch": 236, "iter": 148650, "lr": 0.0, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.17013, "decode.acc_seg": 74.64727, "aux.loss_seg": 0.14674, "aux.acc_seg": 69.16162, "loss": 0.31688, "time": 0.40131} +{"mode": "train", "epoch": 236, "iter": 148700, "lr": 0.0, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.18035, "decode.acc_seg": 75.75009, "aux.loss_seg": 0.15282, "aux.acc_seg": 70.3823, "loss": 0.33317, "time": 0.40151} +{"mode": "train", "epoch": 236, "iter": 148750, "lr": 0.0, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.17774, "decode.acc_seg": 75.1865, "aux.loss_seg": 0.14836, "aux.acc_seg": 69.92368, "loss": 0.3261, "time": 0.40218} +{"mode": "train", "epoch": 236, "iter": 148800, "lr": 0.0, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17007, "decode.acc_seg": 75.62866, "aux.loss_seg": 0.14394, "aux.acc_seg": 70.42188, "loss": 0.31401, "time": 0.40291} +{"mode": "train", "epoch": 236, "iter": 148850, "lr": 0.0, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.16965, "decode.acc_seg": 74.31363, "aux.loss_seg": 0.14608, "aux.acc_seg": 68.88791, "loss": 0.31573, "time": 0.40298} +{"mode": "train", "epoch": 236, "iter": 148900, "lr": 0.0, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.18345, "decode.acc_seg": 74.28219, "aux.loss_seg": 0.15223, "aux.acc_seg": 68.86532, "loss": 0.33568, "time": 0.40282} +{"mode": "train", "epoch": 237, "iter": 148950, "lr": 0.0, "memory": 22018, "data_time": 0.16794, "decode.loss_seg": 0.17629, "decode.acc_seg": 74.55203, "aux.loss_seg": 0.14866, "aux.acc_seg": 69.13253, "loss": 0.32495, "time": 0.56125} +{"mode": "train", "epoch": 237, "iter": 149000, "lr": 0.0, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.17769, "decode.acc_seg": 74.52256, "aux.loss_seg": 0.15161, "aux.acc_seg": 68.99646, "loss": 0.3293, "time": 0.40024} +{"mode": "train", "epoch": 237, "iter": 149050, "lr": 0.0, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.17087, "decode.acc_seg": 74.97814, "aux.loss_seg": 0.14536, "aux.acc_seg": 69.59499, "loss": 0.31623, "time": 0.40063} +{"mode": "train", "epoch": 237, "iter": 149100, "lr": 0.0, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.1733, "decode.acc_seg": 75.29329, "aux.loss_seg": 0.14969, "aux.acc_seg": 69.75446, "loss": 0.32299, "time": 0.40229} +{"mode": "train", "epoch": 237, "iter": 149150, "lr": 0.0, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.17915, "decode.acc_seg": 74.66376, "aux.loss_seg": 0.15347, "aux.acc_seg": 69.23692, "loss": 0.33262, "time": 0.40082} +{"mode": "train", "epoch": 237, "iter": 149200, "lr": 0.0, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.17965, "decode.acc_seg": 75.12927, "aux.loss_seg": 0.15246, "aux.acc_seg": 69.54916, "loss": 0.33211, "time": 0.40145} +{"mode": "train", "epoch": 237, "iter": 149250, "lr": 0.0, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17921, "decode.acc_seg": 74.67321, "aux.loss_seg": 0.15081, "aux.acc_seg": 69.33245, "loss": 0.33002, "time": 0.40061} +{"mode": "train", "epoch": 237, "iter": 149300, "lr": 0.0, "memory": 22018, "data_time": 0.00757, "decode.loss_seg": 0.17971, "decode.acc_seg": 74.17781, "aux.loss_seg": 0.1476, "aux.acc_seg": 68.9172, "loss": 0.32731, "time": 0.4006} +{"mode": "train", "epoch": 237, "iter": 149350, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.16796, "decode.acc_seg": 76.01043, "aux.loss_seg": 0.14588, "aux.acc_seg": 70.7054, "loss": 0.31383, "time": 0.40148} +{"mode": "train", "epoch": 237, "iter": 149400, "lr": 0.0, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.1717, "decode.acc_seg": 75.15281, "aux.loss_seg": 0.14796, "aux.acc_seg": 69.76416, "loss": 0.31966, "time": 0.4015} +{"mode": "train", "epoch": 237, "iter": 149450, "lr": 0.0, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.1738, "decode.acc_seg": 73.30016, "aux.loss_seg": 0.14495, "aux.acc_seg": 68.08848, "loss": 0.31876, "time": 0.40205} +{"mode": "train", "epoch": 237, "iter": 149500, "lr": 0.0, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.17263, "decode.acc_seg": 74.78795, "aux.loss_seg": 0.14624, "aux.acc_seg": 69.39421, "loss": 0.31887, "time": 0.40227} +{"mode": "train", "epoch": 238, "iter": 149550, "lr": 0.0, "memory": 22018, "data_time": 0.16309, "decode.loss_seg": 0.17673, "decode.acc_seg": 74.06849, "aux.loss_seg": 0.14996, "aux.acc_seg": 68.62689, "loss": 0.32669, "time": 0.55712} +{"mode": "train", "epoch": 238, "iter": 149600, "lr": 0.0, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.18344, "decode.acc_seg": 74.47939, "aux.loss_seg": 0.15182, "aux.acc_seg": 69.09789, "loss": 0.33526, "time": 0.40075} +{"mode": "train", "epoch": 238, "iter": 149650, "lr": 0.0, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.17428, "decode.acc_seg": 74.88462, "aux.loss_seg": 0.14675, "aux.acc_seg": 69.64452, "loss": 0.32103, "time": 0.40138} +{"mode": "train", "epoch": 238, "iter": 149700, "lr": 0.0, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.17609, "decode.acc_seg": 75.08581, "aux.loss_seg": 0.15268, "aux.acc_seg": 69.37008, "loss": 0.32876, "time": 0.40233} +{"mode": "train", "epoch": 238, "iter": 149750, "lr": 0.0, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.1744, "decode.acc_seg": 74.54708, "aux.loss_seg": 0.15288, "aux.acc_seg": 68.81786, "loss": 0.32728, "time": 0.40352} +{"mode": "train", "epoch": 238, "iter": 149800, "lr": 0.0, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.17244, "decode.acc_seg": 75.71727, "aux.loss_seg": 0.14652, "aux.acc_seg": 70.391, "loss": 0.31896, "time": 0.40119} +{"mode": "train", "epoch": 238, "iter": 149850, "lr": 0.0, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.17913, "decode.acc_seg": 75.15568, "aux.loss_seg": 0.1492, "aux.acc_seg": 69.77795, "loss": 0.32833, "time": 0.40239} +{"mode": "train", "epoch": 238, "iter": 149900, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17422, "decode.acc_seg": 74.20648, "aux.loss_seg": 0.14928, "aux.acc_seg": 68.76978, "loss": 0.32349, "time": 0.40216} +{"mode": "train", "epoch": 238, "iter": 149950, "lr": 0.0, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.17424, "decode.acc_seg": 74.76939, "aux.loss_seg": 0.14773, "aux.acc_seg": 69.54655, "loss": 0.32197, "time": 0.40155} +{"mode": "train", "epoch": 238, "iter": 150000, "lr": 0.0, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.17499, "decode.acc_seg": 75.60176, "aux.loss_seg": 0.14986, "aux.acc_seg": 69.97335, "loss": 0.32486, "time": 0.40313} +{"mode": "train", "epoch": 238, "iter": 150050, "lr": 0.0, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.1775, "decode.acc_seg": 75.80352, "aux.loss_seg": 0.15123, "aux.acc_seg": 70.32352, "loss": 0.32873, "time": 0.40225} +{"mode": "train", "epoch": 238, "iter": 150100, "lr": 0.0, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.17011, "decode.acc_seg": 75.36734, "aux.loss_seg": 0.14258, "aux.acc_seg": 70.18675, "loss": 0.31269, "time": 0.40267} +{"mode": "train", "epoch": 238, "iter": 150150, "lr": 0.0, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.17334, "decode.acc_seg": 74.59919, "aux.loss_seg": 0.14705, "aux.acc_seg": 69.34047, "loss": 0.32039, "time": 0.40265} +{"mode": "train", "epoch": 239, "iter": 150200, "lr": 0.0, "memory": 22018, "data_time": 0.17769, "decode.loss_seg": 0.1689, "decode.acc_seg": 74.78782, "aux.loss_seg": 0.14312, "aux.acc_seg": 69.65364, "loss": 0.31202, "time": 0.57148} +{"mode": "train", "epoch": 239, "iter": 150250, "lr": 0.0, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.17978, "decode.acc_seg": 74.72613, "aux.loss_seg": 0.1501, "aux.acc_seg": 69.46076, "loss": 0.32987, "time": 0.4031} +{"mode": "train", "epoch": 239, "iter": 150300, "lr": 0.0, "memory": 22018, "data_time": 0.00719, "decode.loss_seg": 0.17515, "decode.acc_seg": 74.756, "aux.loss_seg": 0.14925, "aux.acc_seg": 69.33154, "loss": 0.3244, "time": 0.40031} +{"mode": "train", "epoch": 239, "iter": 150350, "lr": 0.0, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.173, "decode.acc_seg": 75.66847, "aux.loss_seg": 0.14668, "aux.acc_seg": 70.25093, "loss": 0.31969, "time": 0.39989} +{"mode": "train", "epoch": 239, "iter": 150400, "lr": 0.0, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.16989, "decode.acc_seg": 74.43202, "aux.loss_seg": 0.14706, "aux.acc_seg": 69.02963, "loss": 0.31696, "time": 0.40062} +{"mode": "train", "epoch": 239, "iter": 150450, "lr": 0.0, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.17419, "decode.acc_seg": 74.88263, "aux.loss_seg": 0.15015, "aux.acc_seg": 69.31292, "loss": 0.32435, "time": 0.39996} +{"mode": "train", "epoch": 239, "iter": 150500, "lr": 0.0, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.17659, "decode.acc_seg": 75.38764, "aux.loss_seg": 0.14986, "aux.acc_seg": 69.96695, "loss": 0.32645, "time": 0.40062} +{"mode": "train", "epoch": 239, "iter": 150550, "lr": 0.0, "memory": 22018, "data_time": 0.00699, "decode.loss_seg": 0.17691, "decode.acc_seg": 73.98762, "aux.loss_seg": 0.14962, "aux.acc_seg": 68.60446, "loss": 0.32653, "time": 0.39935} +{"mode": "train", "epoch": 239, "iter": 150600, "lr": 0.0, "memory": 22018, "data_time": 0.00725, "decode.loss_seg": 0.16901, "decode.acc_seg": 74.91878, "aux.loss_seg": 0.14576, "aux.acc_seg": 69.57063, "loss": 0.31476, "time": 0.39934} +{"mode": "train", "epoch": 239, "iter": 150650, "lr": 0.0, "memory": 22018, "data_time": 0.00706, "decode.loss_seg": 0.16871, "decode.acc_seg": 75.07495, "aux.loss_seg": 0.14515, "aux.acc_seg": 69.61414, "loss": 0.31386, "time": 0.39917} +{"mode": "train", "epoch": 239, "iter": 150700, "lr": 0.0, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.16886, "decode.acc_seg": 74.22791, "aux.loss_seg": 0.14588, "aux.acc_seg": 68.81045, "loss": 0.31473, "time": 0.40107} +{"mode": "train", "epoch": 239, "iter": 150750, "lr": 0.0, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.17806, "decode.acc_seg": 74.64346, "aux.loss_seg": 0.14884, "aux.acc_seg": 69.35405, "loss": 0.3269, "time": 0.39913} +{"mode": "train", "epoch": 239, "iter": 150800, "lr": 0.0, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.17377, "decode.acc_seg": 75.15547, "aux.loss_seg": 0.14759, "aux.acc_seg": 69.87899, "loss": 0.32136, "time": 0.39978} +{"mode": "train", "epoch": 240, "iter": 150850, "lr": 0.0, "memory": 22018, "data_time": 0.1697, "decode.loss_seg": 0.17017, "decode.acc_seg": 75.49652, "aux.loss_seg": 0.14685, "aux.acc_seg": 69.96603, "loss": 0.31702, "time": 0.56135} +{"mode": "train", "epoch": 240, "iter": 150900, "lr": 0.0, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.17351, "decode.acc_seg": 75.32737, "aux.loss_seg": 0.14731, "aux.acc_seg": 69.9808, "loss": 0.32082, "time": 0.4011} +{"mode": "train", "epoch": 240, "iter": 150950, "lr": 0.0, "memory": 22018, "data_time": 0.01003, "decode.loss_seg": 0.17494, "decode.acc_seg": 74.51594, "aux.loss_seg": 0.14686, "aux.acc_seg": 69.27516, "loss": 0.3218, "time": 0.4022} +{"mode": "train", "epoch": 240, "iter": 151000, "lr": 0.0, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.16833, "decode.acc_seg": 74.82304, "aux.loss_seg": 0.14386, "aux.acc_seg": 69.53698, "loss": 0.31219, "time": 0.40298} +{"mode": "train", "epoch": 240, "iter": 151050, "lr": 0.0, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.17071, "decode.acc_seg": 74.41854, "aux.loss_seg": 0.14527, "aux.acc_seg": 69.09688, "loss": 0.31598, "time": 0.40319} +{"mode": "train", "epoch": 240, "iter": 151100, "lr": 0.0, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.1713, "decode.acc_seg": 74.69732, "aux.loss_seg": 0.1464, "aux.acc_seg": 69.37766, "loss": 0.3177, "time": 0.40374} +{"mode": "train", "epoch": 240, "iter": 151150, "lr": 0.0, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.17033, "decode.acc_seg": 73.80672, "aux.loss_seg": 0.14415, "aux.acc_seg": 68.56369, "loss": 0.31448, "time": 0.40326} +{"mode": "train", "epoch": 240, "iter": 151200, "lr": 0.0, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.17395, "decode.acc_seg": 74.42979, "aux.loss_seg": 0.14767, "aux.acc_seg": 69.05009, "loss": 0.32162, "time": 0.40281} +{"mode": "train", "epoch": 240, "iter": 151250, "lr": 0.0, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.17353, "decode.acc_seg": 75.36971, "aux.loss_seg": 0.15354, "aux.acc_seg": 69.54916, "loss": 0.32707, "time": 0.40145} +{"mode": "train", "epoch": 240, "iter": 151300, "lr": 0.0, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.1766, "decode.acc_seg": 74.93685, "aux.loss_seg": 0.15004, "aux.acc_seg": 69.47084, "loss": 0.32664, "time": 0.40235} +{"mode": "train", "epoch": 240, "iter": 151350, "lr": 0.0, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.17162, "decode.acc_seg": 74.39374, "aux.loss_seg": 0.14277, "aux.acc_seg": 69.147, "loss": 0.31439, "time": 0.40233} +{"mode": "train", "epoch": 240, "iter": 151400, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17583, "decode.acc_seg": 74.93073, "aux.loss_seg": 0.14883, "aux.acc_seg": 69.49271, "loss": 0.32466, "time": 0.40211} +{"mode": "train", "epoch": 241, "iter": 151450, "lr": 0.0, "memory": 22018, "data_time": 0.17908, "decode.loss_seg": 0.18179, "decode.acc_seg": 74.80906, "aux.loss_seg": 0.15321, "aux.acc_seg": 69.41652, "loss": 0.335, "time": 0.5734} +{"mode": "train", "epoch": 241, "iter": 151500, "lr": 0.0, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.17763, "decode.acc_seg": 75.19149, "aux.loss_seg": 0.14984, "aux.acc_seg": 69.76986, "loss": 0.32747, "time": 0.40095} +{"mode": "train", "epoch": 241, "iter": 151550, "lr": 0.0, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.17856, "decode.acc_seg": 75.15461, "aux.loss_seg": 0.14533, "aux.acc_seg": 69.98567, "loss": 0.32389, "time": 0.40208} +{"mode": "train", "epoch": 241, "iter": 151600, "lr": 0.0, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.17335, "decode.acc_seg": 75.40619, "aux.loss_seg": 0.14885, "aux.acc_seg": 69.93062, "loss": 0.3222, "time": 0.40298} +{"mode": "train", "epoch": 241, "iter": 151650, "lr": 0.0, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.17373, "decode.acc_seg": 74.11996, "aux.loss_seg": 0.14715, "aux.acc_seg": 68.77342, "loss": 0.32088, "time": 0.4032} +{"mode": "train", "epoch": 241, "iter": 151700, "lr": 0.0, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.17706, "decode.acc_seg": 75.12297, "aux.loss_seg": 0.15021, "aux.acc_seg": 69.76593, "loss": 0.32727, "time": 0.40275} +{"mode": "train", "epoch": 241, "iter": 151750, "lr": 0.0, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.18055, "decode.acc_seg": 74.45629, "aux.loss_seg": 0.15327, "aux.acc_seg": 68.89064, "loss": 0.33382, "time": 0.40266} +{"mode": "train", "epoch": 241, "iter": 151800, "lr": 0.0, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.17367, "decode.acc_seg": 74.9497, "aux.loss_seg": 0.14253, "aux.acc_seg": 69.89943, "loss": 0.3162, "time": 0.40109} +{"mode": "train", "epoch": 241, "iter": 151850, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17322, "decode.acc_seg": 75.40182, "aux.loss_seg": 0.14598, "aux.acc_seg": 70.20879, "loss": 0.3192, "time": 0.40144} +{"mode": "train", "epoch": 241, "iter": 151900, "lr": 0.0, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.17197, "decode.acc_seg": 75.17841, "aux.loss_seg": 0.15306, "aux.acc_seg": 69.38052, "loss": 0.32502, "time": 0.40259} +{"mode": "train", "epoch": 241, "iter": 151950, "lr": 0.0, "memory": 22018, "data_time": 0.00985, "decode.loss_seg": 0.17204, "decode.acc_seg": 74.89848, "aux.loss_seg": 0.14486, "aux.acc_seg": 69.64708, "loss": 0.31691, "time": 0.40211} +{"mode": "train", "epoch": 241, "iter": 152000, "lr": 0.0, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.17403, "decode.acc_seg": 75.20887, "aux.loss_seg": 0.15036, "aux.acc_seg": 69.68475, "loss": 0.3244, "time": 0.40208} +{"mode": "train", "epoch": 241, "iter": 152050, "lr": 0.0, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.17544, "decode.acc_seg": 74.94695, "aux.loss_seg": 0.14851, "aux.acc_seg": 69.58406, "loss": 0.32396, "time": 0.40277} +{"mode": "train", "epoch": 242, "iter": 152100, "lr": 0.0, "memory": 22018, "data_time": 0.17281, "decode.loss_seg": 0.17965, "decode.acc_seg": 74.71778, "aux.loss_seg": 0.15339, "aux.acc_seg": 69.14763, "loss": 0.33304, "time": 0.56871} +{"mode": "train", "epoch": 242, "iter": 152150, "lr": 0.0, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.17167, "decode.acc_seg": 75.2486, "aux.loss_seg": 0.14781, "aux.acc_seg": 69.74388, "loss": 0.31948, "time": 0.40257} +{"mode": "train", "epoch": 242, "iter": 152200, "lr": 0.0, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.17556, "decode.acc_seg": 75.16083, "aux.loss_seg": 0.15177, "aux.acc_seg": 69.55158, "loss": 0.32733, "time": 0.40102} +{"mode": "train", "epoch": 242, "iter": 152250, "lr": 0.0, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.17046, "decode.acc_seg": 74.484, "aux.loss_seg": 0.14613, "aux.acc_seg": 69.00759, "loss": 0.31659, "time": 0.4027} +{"mode": "train", "epoch": 242, "iter": 152300, "lr": 0.0, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.1751, "decode.acc_seg": 74.91912, "aux.loss_seg": 0.14748, "aux.acc_seg": 69.56526, "loss": 0.32258, "time": 0.40247} +{"mode": "train", "epoch": 242, "iter": 152350, "lr": 0.0, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.1718, "decode.acc_seg": 74.9789, "aux.loss_seg": 0.14933, "aux.acc_seg": 69.58441, "loss": 0.32113, "time": 0.40157} +{"mode": "train", "epoch": 242, "iter": 152400, "lr": 0.0, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.17511, "decode.acc_seg": 75.2098, "aux.loss_seg": 0.15297, "aux.acc_seg": 69.51353, "loss": 0.32808, "time": 0.40327} +{"mode": "train", "epoch": 242, "iter": 152450, "lr": 0.0, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.17115, "decode.acc_seg": 74.8829, "aux.loss_seg": 0.14814, "aux.acc_seg": 69.25245, "loss": 0.31929, "time": 0.40272} +{"mode": "train", "epoch": 242, "iter": 152500, "lr": 0.0, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.17039, "decode.acc_seg": 73.91421, "aux.loss_seg": 0.14384, "aux.acc_seg": 68.71425, "loss": 0.31422, "time": 0.40244} +{"mode": "train", "epoch": 242, "iter": 152550, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17537, "decode.acc_seg": 74.8877, "aux.loss_seg": 0.14583, "aux.acc_seg": 69.71016, "loss": 0.3212, "time": 0.40184} +{"mode": "train", "epoch": 242, "iter": 152600, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17151, "decode.acc_seg": 74.37113, "aux.loss_seg": 0.14477, "aux.acc_seg": 69.18249, "loss": 0.31629, "time": 0.40226} +{"mode": "train", "epoch": 242, "iter": 152650, "lr": 0.0, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.17895, "decode.acc_seg": 73.70583, "aux.loss_seg": 0.1497, "aux.acc_seg": 68.39584, "loss": 0.32865, "time": 0.40101} +{"mode": "train", "epoch": 242, "iter": 152700, "lr": 0.0, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.1713, "decode.acc_seg": 75.98496, "aux.loss_seg": 0.14406, "aux.acc_seg": 70.76083, "loss": 0.31536, "time": 0.40174} +{"mode": "train", "epoch": 243, "iter": 152750, "lr": 0.0, "memory": 22018, "data_time": 0.18641, "decode.loss_seg": 0.17793, "decode.acc_seg": 74.79391, "aux.loss_seg": 0.15405, "aux.acc_seg": 69.10185, "loss": 0.33198, "time": 0.5786} +{"mode": "train", "epoch": 243, "iter": 152800, "lr": 0.0, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17039, "decode.acc_seg": 74.40702, "aux.loss_seg": 0.14431, "aux.acc_seg": 69.19346, "loss": 0.3147, "time": 0.39979} +{"mode": "train", "epoch": 243, "iter": 152850, "lr": 0.0, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.17128, "decode.acc_seg": 74.98039, "aux.loss_seg": 0.14566, "aux.acc_seg": 69.7381, "loss": 0.31693, "time": 0.40019} +{"mode": "train", "epoch": 243, "iter": 152900, "lr": 0.0, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.17094, "decode.acc_seg": 75.0697, "aux.loss_seg": 0.14327, "aux.acc_seg": 69.97441, "loss": 0.31421, "time": 0.40097} +{"mode": "train", "epoch": 243, "iter": 152950, "lr": 0.0, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.1754, "decode.acc_seg": 74.4485, "aux.loss_seg": 0.15093, "aux.acc_seg": 69.03983, "loss": 0.32633, "time": 0.40025} +{"mode": "train", "epoch": 243, "iter": 153000, "lr": 0.0, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.1761, "decode.acc_seg": 75.43867, "aux.loss_seg": 0.14543, "aux.acc_seg": 70.28864, "loss": 0.32153, "time": 0.3999} +{"mode": "train", "epoch": 243, "iter": 153050, "lr": 0.0, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.16865, "decode.acc_seg": 75.19045, "aux.loss_seg": 0.14808, "aux.acc_seg": 69.60653, "loss": 0.31673, "time": 0.40178} +{"mode": "train", "epoch": 243, "iter": 153100, "lr": 0.0, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.17585, "decode.acc_seg": 75.32437, "aux.loss_seg": 0.15387, "aux.acc_seg": 69.66471, "loss": 0.32971, "time": 0.40124} +{"mode": "train", "epoch": 243, "iter": 153150, "lr": 0.0, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.17306, "decode.acc_seg": 74.72478, "aux.loss_seg": 0.14658, "aux.acc_seg": 69.45055, "loss": 0.31964, "time": 0.40238} +{"mode": "train", "epoch": 243, "iter": 153200, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.18708, "decode.acc_seg": 74.89016, "aux.loss_seg": 0.15658, "aux.acc_seg": 69.21385, "loss": 0.34366, "time": 0.40274} +{"mode": "train", "epoch": 243, "iter": 153250, "lr": 0.0, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.1697, "decode.acc_seg": 75.3784, "aux.loss_seg": 0.14307, "aux.acc_seg": 70.20321, "loss": 0.31277, "time": 0.40175} +{"mode": "train", "epoch": 243, "iter": 153300, "lr": 0.0, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.17942, "decode.acc_seg": 74.71489, "aux.loss_seg": 0.14624, "aux.acc_seg": 69.61591, "loss": 0.32566, "time": 0.40214} +{"mode": "train", "epoch": 244, "iter": 153350, "lr": 0.0, "memory": 22018, "data_time": 0.17792, "decode.loss_seg": 0.17499, "decode.acc_seg": 75.80053, "aux.loss_seg": 0.14993, "aux.acc_seg": 70.35013, "loss": 0.32492, "time": 0.57287} +{"mode": "train", "epoch": 244, "iter": 153400, "lr": 0.0, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.17029, "decode.acc_seg": 74.64802, "aux.loss_seg": 0.14578, "aux.acc_seg": 69.36739, "loss": 0.31607, "time": 0.40005} +{"mode": "train", "epoch": 244, "iter": 153450, "lr": 0.0, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.1816, "decode.acc_seg": 74.29518, "aux.loss_seg": 0.15324, "aux.acc_seg": 68.8042, "loss": 0.33484, "time": 0.40148} +{"mode": "train", "epoch": 244, "iter": 153500, "lr": 0.0, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.28337, "aux.loss_seg": 0.14355, "aux.acc_seg": 68.86775, "loss": 0.3109, "time": 0.40226} +{"mode": "train", "epoch": 244, "iter": 153550, "lr": 0.0, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.17568, "decode.acc_seg": 73.6456, "aux.loss_seg": 0.15258, "aux.acc_seg": 67.91233, "loss": 0.32826, "time": 0.40364} +{"mode": "train", "epoch": 244, "iter": 153600, "lr": 0.0, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.17456, "decode.acc_seg": 75.30431, "aux.loss_seg": 0.14917, "aux.acc_seg": 69.88543, "loss": 0.32372, "time": 0.40117} +{"mode": "train", "epoch": 244, "iter": 153650, "lr": 0.0, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.17367, "decode.acc_seg": 75.8693, "aux.loss_seg": 0.14646, "aux.acc_seg": 70.57093, "loss": 0.32014, "time": 0.40267} +{"mode": "train", "epoch": 244, "iter": 153700, "lr": 0.0, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.17962, "decode.acc_seg": 74.68252, "aux.loss_seg": 0.15155, "aux.acc_seg": 69.17998, "loss": 0.33117, "time": 0.40171} +{"mode": "train", "epoch": 244, "iter": 153750, "lr": 0.0, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.17045, "decode.acc_seg": 74.2964, "aux.loss_seg": 0.14961, "aux.acc_seg": 68.67685, "loss": 0.32007, "time": 0.40392} +{"mode": "train", "epoch": 244, "iter": 153800, "lr": 0.0, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.17156, "decode.acc_seg": 75.24778, "aux.loss_seg": 0.14757, "aux.acc_seg": 69.71843, "loss": 0.31913, "time": 0.40228} +{"mode": "train", "epoch": 244, "iter": 153850, "lr": 0.0, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.1638, "decode.acc_seg": 76.07853, "aux.loss_seg": 0.14136, "aux.acc_seg": 70.92337, "loss": 0.30516, "time": 0.40279} +{"mode": "train", "epoch": 244, "iter": 153900, "lr": 0.0, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.17073, "decode.acc_seg": 74.72768, "aux.loss_seg": 0.1483, "aux.acc_seg": 69.24104, "loss": 0.31904, "time": 0.40241} +{"mode": "train", "epoch": 244, "iter": 153950, "lr": 0.0, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.1748, "decode.acc_seg": 74.88963, "aux.loss_seg": 0.1512, "aux.acc_seg": 69.27612, "loss": 0.326, "time": 0.40232} +{"mode": "train", "epoch": 245, "iter": 154000, "lr": 0.0, "memory": 22018, "data_time": 0.17714, "decode.loss_seg": 0.16732, "decode.acc_seg": 75.10776, "aux.loss_seg": 0.14226, "aux.acc_seg": 69.97374, "loss": 0.30958, "time": 0.56959} +{"mode": "train", "epoch": 245, "iter": 154050, "lr": 0.0, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.17074, "decode.acc_seg": 74.0877, "aux.loss_seg": 0.14462, "aux.acc_seg": 68.78547, "loss": 0.31536, "time": 0.40187} +{"mode": "train", "epoch": 245, "iter": 154100, "lr": 0.0, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.17499, "decode.acc_seg": 75.15191, "aux.loss_seg": 0.1469, "aux.acc_seg": 69.88108, "loss": 0.32189, "time": 0.40231} +{"mode": "train", "epoch": 245, "iter": 154150, "lr": 0.0, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.18073, "decode.acc_seg": 73.90691, "aux.loss_seg": 0.15577, "aux.acc_seg": 68.20892, "loss": 0.3365, "time": 0.40286} +{"mode": "train", "epoch": 245, "iter": 154200, "lr": 0.0, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.17003, "decode.acc_seg": 74.50733, "aux.loss_seg": 0.14599, "aux.acc_seg": 69.12241, "loss": 0.31602, "time": 0.403} +{"mode": "train", "epoch": 245, "iter": 154250, "lr": 0.0, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.18073, "decode.acc_seg": 75.93377, "aux.loss_seg": 0.15064, "aux.acc_seg": 70.67107, "loss": 0.33137, "time": 0.40335} +{"mode": "train", "epoch": 245, "iter": 154300, "lr": 0.0, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.17229, "decode.acc_seg": 75.33356, "aux.loss_seg": 0.14467, "aux.acc_seg": 70.14487, "loss": 0.31696, "time": 0.40272} +{"mode": "train", "epoch": 245, "iter": 154350, "lr": 0.0, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.17648, "decode.acc_seg": 74.26083, "aux.loss_seg": 0.15174, "aux.acc_seg": 68.64953, "loss": 0.32822, "time": 0.40202} +{"mode": "train", "epoch": 245, "iter": 154400, "lr": 0.0, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.17088, "decode.acc_seg": 74.64632, "aux.loss_seg": 0.14684, "aux.acc_seg": 69.3304, "loss": 0.31773, "time": 0.40371} +{"mode": "train", "epoch": 245, "iter": 154450, "lr": 0.0, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.18083, "decode.acc_seg": 74.71812, "aux.loss_seg": 0.15159, "aux.acc_seg": 69.40212, "loss": 0.33243, "time": 0.40293} +{"mode": "train", "epoch": 245, "iter": 154500, "lr": 0.0, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17655, "decode.acc_seg": 75.72458, "aux.loss_seg": 0.15021, "aux.acc_seg": 70.16443, "loss": 0.32676, "time": 0.40196} +{"mode": "train", "epoch": 245, "iter": 154550, "lr": 0.0, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.17446, "decode.acc_seg": 74.63622, "aux.loss_seg": 0.15129, "aux.acc_seg": 69.05303, "loss": 0.32575, "time": 0.40165} +{"mode": "train", "epoch": 246, "iter": 154600, "lr": 0.0, "memory": 22018, "data_time": 0.16739, "decode.loss_seg": 0.17044, "decode.acc_seg": 75.68348, "aux.loss_seg": 0.14466, "aux.acc_seg": 70.35467, "loss": 0.31511, "time": 0.56158} +{"mode": "train", "epoch": 246, "iter": 154650, "lr": 0.0, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.64611, "aux.loss_seg": 0.15314, "aux.acc_seg": 69.03962, "loss": 0.33136, "time": 0.40271} +{"mode": "train", "epoch": 246, "iter": 154700, "lr": 0.0, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.17256, "decode.acc_seg": 73.04071, "aux.loss_seg": 0.14615, "aux.acc_seg": 67.84723, "loss": 0.31872, "time": 0.40187} +{"mode": "train", "epoch": 246, "iter": 154750, "lr": 0.0, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.16868, "decode.acc_seg": 75.47376, "aux.loss_seg": 0.14612, "aux.acc_seg": 69.99818, "loss": 0.3148, "time": 0.4035} +{"mode": "train", "epoch": 246, "iter": 154800, "lr": 0.0, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.17007, "decode.acc_seg": 74.91854, "aux.loss_seg": 0.1422, "aux.acc_seg": 69.88394, "loss": 0.31227, "time": 0.40285} +{"mode": "train", "epoch": 246, "iter": 154850, "lr": 0.0, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.17961, "decode.acc_seg": 74.86658, "aux.loss_seg": 0.15291, "aux.acc_seg": 69.32424, "loss": 0.33252, "time": 0.40249} +{"mode": "train", "epoch": 246, "iter": 154900, "lr": 0.0, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.17513, "decode.acc_seg": 74.95903, "aux.loss_seg": 0.14621, "aux.acc_seg": 69.77311, "loss": 0.32133, "time": 0.40198} +{"mode": "train", "epoch": 246, "iter": 154950, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17369, "decode.acc_seg": 75.27434, "aux.loss_seg": 0.1456, "aux.acc_seg": 70.1478, "loss": 0.31929, "time": 0.40276} +{"mode": "train", "epoch": 246, "iter": 155000, "lr": 0.0, "memory": 22018, "data_time": 0.00761, "decode.loss_seg": 0.17321, "decode.acc_seg": 75.21531, "aux.loss_seg": 0.1479, "aux.acc_seg": 69.9439, "loss": 0.32111, "time": 0.40271} +{"mode": "train", "epoch": 246, "iter": 155050, "lr": 0.0, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.17656, "decode.acc_seg": 74.92034, "aux.loss_seg": 0.14837, "aux.acc_seg": 69.52051, "loss": 0.32493, "time": 0.40245} +{"mode": "train", "epoch": 246, "iter": 155100, "lr": 0.0, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.16973, "decode.acc_seg": 75.03335, "aux.loss_seg": 0.14709, "aux.acc_seg": 69.68256, "loss": 0.31683, "time": 0.40093} +{"mode": "train", "epoch": 246, "iter": 155150, "lr": 0.0, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.16949, "decode.acc_seg": 74.97724, "aux.loss_seg": 0.15045, "aux.acc_seg": 69.11477, "loss": 0.31995, "time": 0.40197} +{"mode": "train", "epoch": 246, "iter": 155200, "lr": 0.0, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.17672, "decode.acc_seg": 74.5996, "aux.loss_seg": 0.14973, "aux.acc_seg": 69.19577, "loss": 0.32645, "time": 0.40252} +{"mode": "train", "epoch": 247, "iter": 155250, "lr": 0.0, "memory": 22018, "data_time": 0.17326, "decode.loss_seg": 0.16771, "decode.acc_seg": 74.23761, "aux.loss_seg": 0.14678, "aux.acc_seg": 68.85801, "loss": 0.31449, "time": 0.56711} +{"mode": "train", "epoch": 247, "iter": 155300, "lr": 0.0, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.17809, "decode.acc_seg": 75.10632, "aux.loss_seg": 0.15094, "aux.acc_seg": 69.66757, "loss": 0.32904, "time": 0.40133} +{"mode": "train", "epoch": 247, "iter": 155350, "lr": 0.0, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.17535, "decode.acc_seg": 74.90808, "aux.loss_seg": 0.15117, "aux.acc_seg": 69.43261, "loss": 0.32652, "time": 0.40181} +{"mode": "train", "epoch": 247, "iter": 155400, "lr": 0.0, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.175, "decode.acc_seg": 75.38617, "aux.loss_seg": 0.14673, "aux.acc_seg": 70.07748, "loss": 0.32173, "time": 0.40164} +{"mode": "train", "epoch": 247, "iter": 155450, "lr": 0.0, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.17252, "decode.acc_seg": 75.53518, "aux.loss_seg": 0.14611, "aux.acc_seg": 70.21295, "loss": 0.31863, "time": 0.40143} +{"mode": "train", "epoch": 247, "iter": 155500, "lr": 0.0, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.17255, "decode.acc_seg": 76.02457, "aux.loss_seg": 0.1478, "aux.acc_seg": 70.58794, "loss": 0.32035, "time": 0.40134} +{"mode": "train", "epoch": 247, "iter": 155550, "lr": 0.0, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.17087, "decode.acc_seg": 75.27669, "aux.loss_seg": 0.14551, "aux.acc_seg": 70.10985, "loss": 0.31638, "time": 0.40149} +{"mode": "train", "epoch": 247, "iter": 155600, "lr": 0.0, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.17785, "decode.acc_seg": 75.45294, "aux.loss_seg": 0.14973, "aux.acc_seg": 70.09385, "loss": 0.32758, "time": 0.40274} +{"mode": "train", "epoch": 247, "iter": 155650, "lr": 0.0, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.17719, "decode.acc_seg": 74.37996, "aux.loss_seg": 0.15137, "aux.acc_seg": 68.89046, "loss": 0.32855, "time": 0.40246} +{"mode": "train", "epoch": 247, "iter": 155700, "lr": 0.0, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.1732, "decode.acc_seg": 74.51823, "aux.loss_seg": 0.15097, "aux.acc_seg": 68.85734, "loss": 0.32417, "time": 0.40273} +{"mode": "train", "epoch": 247, "iter": 155750, "lr": 0.0, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.17271, "decode.acc_seg": 74.99949, "aux.loss_seg": 0.14411, "aux.acc_seg": 69.92148, "loss": 0.31681, "time": 0.4009} +{"mode": "train", "epoch": 247, "iter": 155800, "lr": 0.0, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.17453, "decode.acc_seg": 74.61645, "aux.loss_seg": 0.14768, "aux.acc_seg": 69.31317, "loss": 0.32221, "time": 0.40105} +{"mode": "train", "epoch": 247, "iter": 155850, "lr": 0.0, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.17603, "decode.acc_seg": 74.50211, "aux.loss_seg": 0.14988, "aux.acc_seg": 69.031, "loss": 0.32591, "time": 0.401} +{"mode": "train", "epoch": 248, "iter": 155900, "lr": 0.0, "memory": 22018, "data_time": 0.17389, "decode.loss_seg": 0.17567, "decode.acc_seg": 74.9962, "aux.loss_seg": 0.15164, "aux.acc_seg": 69.53148, "loss": 0.32732, "time": 0.56745} +{"mode": "train", "epoch": 248, "iter": 155950, "lr": 0.0, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.18046, "decode.acc_seg": 74.82979, "aux.loss_seg": 0.15592, "aux.acc_seg": 69.07782, "loss": 0.33638, "time": 0.40237} +{"mode": "train", "epoch": 248, "iter": 156000, "lr": 0.0, "memory": 22018, "data_time": 0.00986, "decode.loss_seg": 0.16829, "decode.acc_seg": 74.70155, "aux.loss_seg": 0.1406, "aux.acc_seg": 69.70872, "loss": 0.30889, "time": 0.40234} +{"mode": "train", "epoch": 248, "iter": 156050, "lr": 0.0, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.16722, "decode.acc_seg": 75.49778, "aux.loss_seg": 0.14743, "aux.acc_seg": 69.91656, "loss": 0.31465, "time": 0.4035} +{"mode": "train", "epoch": 248, "iter": 156100, "lr": 0.0, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.17366, "decode.acc_seg": 74.2203, "aux.loss_seg": 0.15045, "aux.acc_seg": 68.54812, "loss": 0.32411, "time": 0.40242} +{"mode": "train", "epoch": 248, "iter": 156150, "lr": 0.0, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.17941, "decode.acc_seg": 75.35481, "aux.loss_seg": 0.15217, "aux.acc_seg": 69.90339, "loss": 0.33159, "time": 0.40149} +{"mode": "train", "epoch": 248, "iter": 156200, "lr": 0.0, "memory": 22018, "data_time": 0.01012, "decode.loss_seg": 0.17518, "decode.acc_seg": 73.95146, "aux.loss_seg": 0.15115, "aux.acc_seg": 68.36676, "loss": 0.32633, "time": 0.40306} +{"mode": "train", "epoch": 248, "iter": 156250, "lr": 0.0, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.17444, "decode.acc_seg": 75.15196, "aux.loss_seg": 0.14825, "aux.acc_seg": 69.69947, "loss": 0.32269, "time": 0.40379} +{"mode": "train", "epoch": 248, "iter": 156300, "lr": 0.0, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.17726, "decode.acc_seg": 75.33381, "aux.loss_seg": 0.15066, "aux.acc_seg": 69.86557, "loss": 0.32791, "time": 0.40444} +{"mode": "train", "epoch": 248, "iter": 156350, "lr": 0.0, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.17133, "decode.acc_seg": 75.32921, "aux.loss_seg": 0.14681, "aux.acc_seg": 69.90505, "loss": 0.31813, "time": 0.40311} +{"mode": "train", "epoch": 248, "iter": 156400, "lr": 0.0, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.1717, "decode.acc_seg": 74.8616, "aux.loss_seg": 0.14396, "aux.acc_seg": 69.69929, "loss": 0.31566, "time": 0.40183} +{"mode": "train", "epoch": 248, "iter": 156450, "lr": 0.0, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.17309, "decode.acc_seg": 75.42054, "aux.loss_seg": 0.15033, "aux.acc_seg": 69.80119, "loss": 0.32342, "time": 0.40363} +{"mode": "train", "epoch": 249, "iter": 156500, "lr": 0.0, "memory": 22018, "data_time": 0.1822, "decode.loss_seg": 0.17867, "decode.acc_seg": 75.43449, "aux.loss_seg": 0.1519, "aux.acc_seg": 69.86583, "loss": 0.33057, "time": 0.57695} +{"mode": "train", "epoch": 249, "iter": 156550, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17134, "decode.acc_seg": 75.19474, "aux.loss_seg": 0.14972, "aux.acc_seg": 69.60169, "loss": 0.32106, "time": 0.40262} +{"mode": "train", "epoch": 249, "iter": 156600, "lr": 0.0, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17196, "decode.acc_seg": 75.24038, "aux.loss_seg": 0.14312, "aux.acc_seg": 70.04982, "loss": 0.31507, "time": 0.40205} +{"mode": "train", "epoch": 249, "iter": 156650, "lr": 0.0, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.17081, "decode.acc_seg": 75.39008, "aux.loss_seg": 0.14699, "aux.acc_seg": 69.91449, "loss": 0.3178, "time": 0.40334} +{"mode": "train", "epoch": 249, "iter": 156700, "lr": 0.0, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17313, "decode.acc_seg": 75.18291, "aux.loss_seg": 0.15079, "aux.acc_seg": 69.75069, "loss": 0.32392, "time": 0.4032} +{"mode": "train", "epoch": 249, "iter": 156750, "lr": 0.0, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.17944, "decode.acc_seg": 74.36509, "aux.loss_seg": 0.15116, "aux.acc_seg": 69.02295, "loss": 0.3306, "time": 0.40229} +{"mode": "train", "epoch": 249, "iter": 156800, "lr": 0.0, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.17797, "decode.acc_seg": 76.27903, "aux.loss_seg": 0.14862, "aux.acc_seg": 70.90949, "loss": 0.32659, "time": 0.40318} +{"mode": "train", "epoch": 249, "iter": 156850, "lr": 0.0, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.17304, "decode.acc_seg": 75.00302, "aux.loss_seg": 0.14656, "aux.acc_seg": 69.81409, "loss": 0.31959, "time": 0.40129} +{"mode": "train", "epoch": 249, "iter": 156900, "lr": 0.0, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.17085, "decode.acc_seg": 74.18809, "aux.loss_seg": 0.14653, "aux.acc_seg": 68.76775, "loss": 0.31739, "time": 0.40232} +{"mode": "train", "epoch": 249, "iter": 156950, "lr": 0.0, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.17375, "decode.acc_seg": 76.03005, "aux.loss_seg": 0.14899, "aux.acc_seg": 70.63973, "loss": 0.32274, "time": 0.40182} +{"mode": "train", "epoch": 249, "iter": 157000, "lr": 0.0, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.17164, "decode.acc_seg": 74.92542, "aux.loss_seg": 0.14637, "aux.acc_seg": 69.55981, "loss": 0.31801, "time": 0.40242} +{"mode": "train", "epoch": 249, "iter": 157050, "lr": 0.0, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17094, "decode.acc_seg": 75.29468, "aux.loss_seg": 0.14618, "aux.acc_seg": 69.88919, "loss": 0.31712, "time": 0.40267} +{"mode": "train", "epoch": 249, "iter": 157100, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.17538, "decode.acc_seg": 74.69116, "aux.loss_seg": 0.15051, "aux.acc_seg": 69.12604, "loss": 0.32589, "time": 0.40191} +{"mode": "train", "epoch": 250, "iter": 157150, "lr": 0.0, "memory": 22018, "data_time": 0.17597, "decode.loss_seg": 0.17249, "decode.acc_seg": 74.70656, "aux.loss_seg": 0.14887, "aux.acc_seg": 69.40482, "loss": 0.32136, "time": 0.57086} +{"mode": "train", "epoch": 250, "iter": 157200, "lr": 0.0, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.16718, "decode.acc_seg": 75.40738, "aux.loss_seg": 0.14522, "aux.acc_seg": 70.03221, "loss": 0.3124, "time": 0.40135} +{"mode": "train", "epoch": 250, "iter": 157250, "lr": 0.0, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.16407, "decode.acc_seg": 75.53914, "aux.loss_seg": 0.14458, "aux.acc_seg": 70.14026, "loss": 0.30865, "time": 0.40263} +{"mode": "train", "epoch": 250, "iter": 157300, "lr": 0.0, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.17302, "decode.acc_seg": 74.85385, "aux.loss_seg": 0.15027, "aux.acc_seg": 69.28565, "loss": 0.3233, "time": 0.40288} +{"mode": "train", "epoch": 250, "iter": 157350, "lr": 0.0, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.17843, "decode.acc_seg": 75.44831, "aux.loss_seg": 0.15294, "aux.acc_seg": 69.85913, "loss": 0.33137, "time": 0.4018} +{"mode": "train", "epoch": 250, "iter": 157400, "lr": 0.0, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.17079, "decode.acc_seg": 75.34641, "aux.loss_seg": 0.14723, "aux.acc_seg": 69.97159, "loss": 0.31802, "time": 0.4026} +{"mode": "train", "epoch": 250, "iter": 157450, "lr": 0.0, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.17329, "decode.acc_seg": 74.64495, "aux.loss_seg": 0.1477, "aux.acc_seg": 69.31819, "loss": 0.32099, "time": 0.40185} +{"mode": "train", "epoch": 250, "iter": 157500, "lr": 0.0, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17462, "decode.acc_seg": 74.91048, "aux.loss_seg": 0.14956, "aux.acc_seg": 69.4409, "loss": 0.32418, "time": 0.40172} +{"mode": "train", "epoch": 250, "iter": 157550, "lr": 0.0, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.17227, "decode.acc_seg": 74.49241, "aux.loss_seg": 0.14437, "aux.acc_seg": 69.28274, "loss": 0.31664, "time": 0.40201} +{"mode": "train", "epoch": 250, "iter": 157600, "lr": 0.0, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.17809, "decode.acc_seg": 74.83791, "aux.loss_seg": 0.15167, "aux.acc_seg": 69.4517, "loss": 0.32976, "time": 0.40133} +{"mode": "train", "epoch": 250, "iter": 157650, "lr": 0.0, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.17594, "decode.acc_seg": 75.63782, "aux.loss_seg": 0.1498, "aux.acc_seg": 70.19588, "loss": 0.32575, "time": 0.40272} +{"mode": "train", "epoch": 250, "iter": 157700, "lr": 0.0, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.17126, "decode.acc_seg": 75.45575, "aux.loss_seg": 0.14727, "aux.acc_seg": 70.14478, "loss": 0.31853, "time": 0.40175} +{"mode": "train", "epoch": 250, "iter": 157750, "lr": 0.0, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.17417, "decode.acc_seg": 73.52857, "aux.loss_seg": 0.14817, "aux.acc_seg": 68.07036, "loss": 0.32234, "time": 0.40183} +{"mode": "train", "epoch": 251, "iter": 157800, "lr": 0.0, "memory": 22018, "data_time": 0.1798, "decode.loss_seg": 0.17042, "decode.acc_seg": 75.47845, "aux.loss_seg": 0.14846, "aux.acc_seg": 70.00727, "loss": 0.31888, "time": 0.57191} +{"mode": "train", "epoch": 251, "iter": 157850, "lr": 0.0, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.17504, "decode.acc_seg": 74.81277, "aux.loss_seg": 0.14844, "aux.acc_seg": 69.37238, "loss": 0.32348, "time": 0.39984} +{"mode": "train", "epoch": 251, "iter": 157900, "lr": 0.0, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.16494, "decode.acc_seg": 74.01573, "aux.loss_seg": 0.14025, "aux.acc_seg": 68.86181, "loss": 0.30519, "time": 0.4011} +{"mode": "train", "epoch": 251, "iter": 157950, "lr": 0.0, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.17671, "decode.acc_seg": 75.59565, "aux.loss_seg": 0.1522, "aux.acc_seg": 70.08162, "loss": 0.32891, "time": 0.40225} +{"mode": "train", "epoch": 251, "iter": 158000, "lr": 0.0, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.17999, "decode.acc_seg": 74.30677, "aux.loss_seg": 0.15417, "aux.acc_seg": 68.71258, "loss": 0.33417, "time": 0.39924} +{"mode": "train", "epoch": 251, "iter": 158050, "lr": 0.0, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.17705, "decode.acc_seg": 74.30046, "aux.loss_seg": 0.14904, "aux.acc_seg": 68.96005, "loss": 0.3261, "time": 0.3992} +{"mode": "train", "epoch": 251, "iter": 158100, "lr": 0.0, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.16833, "decode.acc_seg": 74.51477, "aux.loss_seg": 0.14285, "aux.acc_seg": 69.38117, "loss": 0.31118, "time": 0.40004} +{"mode": "train", "epoch": 251, "iter": 158150, "lr": 0.0, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.17577, "decode.acc_seg": 74.66173, "aux.loss_seg": 0.149, "aux.acc_seg": 69.36815, "loss": 0.32477, "time": 0.39965} +{"mode": "train", "epoch": 251, "iter": 158200, "lr": 0.0, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.1724, "decode.acc_seg": 76.11962, "aux.loss_seg": 0.14604, "aux.acc_seg": 70.8139, "loss": 0.31844, "time": 0.40152} +{"mode": "train", "epoch": 251, "iter": 158250, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17382, "decode.acc_seg": 75.0406, "aux.loss_seg": 0.14917, "aux.acc_seg": 69.588, "loss": 0.32299, "time": 0.40089} +{"mode": "train", "epoch": 251, "iter": 158300, "lr": 0.0, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17152, "decode.acc_seg": 75.87551, "aux.loss_seg": 0.14608, "aux.acc_seg": 70.47168, "loss": 0.3176, "time": 0.39977} +{"mode": "train", "epoch": 251, "iter": 158350, "lr": 0.0, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.17615, "decode.acc_seg": 74.26126, "aux.loss_seg": 0.15099, "aux.acc_seg": 68.77193, "loss": 0.32714, "time": 0.4015} +{"mode": "train", "epoch": 252, "iter": 158400, "lr": 0.0, "memory": 22018, "data_time": 0.1767, "decode.loss_seg": 0.17776, "decode.acc_seg": 75.22008, "aux.loss_seg": 0.14928, "aux.acc_seg": 69.8339, "loss": 0.32703, "time": 0.57044} +{"mode": "train", "epoch": 252, "iter": 158450, "lr": 0.0, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.17753, "decode.acc_seg": 75.15338, "aux.loss_seg": 0.15372, "aux.acc_seg": 69.68572, "loss": 0.33126, "time": 0.40122} +{"mode": "train", "epoch": 252, "iter": 158500, "lr": 0.0, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.16885, "decode.acc_seg": 74.96804, "aux.loss_seg": 0.14291, "aux.acc_seg": 69.50821, "loss": 0.31176, "time": 0.40099} +{"mode": "train", "epoch": 252, "iter": 158550, "lr": 0.0, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.17243, "decode.acc_seg": 75.61368, "aux.loss_seg": 0.14539, "aux.acc_seg": 70.41302, "loss": 0.31782, "time": 0.40166} +{"mode": "train", "epoch": 252, "iter": 158600, "lr": 0.0, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.17305, "decode.acc_seg": 74.20845, "aux.loss_seg": 0.14828, "aux.acc_seg": 68.78977, "loss": 0.32133, "time": 0.40418} +{"mode": "train", "epoch": 252, "iter": 158650, "lr": 0.0, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.16989, "decode.acc_seg": 74.8416, "aux.loss_seg": 0.14605, "aux.acc_seg": 69.40923, "loss": 0.31594, "time": 0.40543} +{"mode": "train", "epoch": 252, "iter": 158700, "lr": 0.0, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.17327, "decode.acc_seg": 74.21588, "aux.loss_seg": 0.1487, "aux.acc_seg": 68.80401, "loss": 0.32197, "time": 0.40414} +{"mode": "train", "epoch": 252, "iter": 158750, "lr": 0.0, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17725, "decode.acc_seg": 74.98585, "aux.loss_seg": 0.15147, "aux.acc_seg": 69.50773, "loss": 0.32872, "time": 0.40449} +{"mode": "train", "epoch": 252, "iter": 158800, "lr": 0.0, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.166, "decode.acc_seg": 74.35224, "aux.loss_seg": 0.14669, "aux.acc_seg": 68.73781, "loss": 0.31269, "time": 0.40583} +{"mode": "train", "epoch": 252, "iter": 158850, "lr": 0.0, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.16933, "decode.acc_seg": 75.23071, "aux.loss_seg": 0.14683, "aux.acc_seg": 69.86629, "loss": 0.31615, "time": 0.40496} +{"mode": "train", "epoch": 252, "iter": 158900, "lr": 0.0, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.17449, "decode.acc_seg": 75.26274, "aux.loss_seg": 0.14892, "aux.acc_seg": 69.92733, "loss": 0.3234, "time": 0.40469} +{"mode": "train", "epoch": 252, "iter": 158950, "lr": 0.0, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.16985, "decode.acc_seg": 74.967, "aux.loss_seg": 0.14498, "aux.acc_seg": 69.50878, "loss": 0.31483, "time": 0.40476} +{"mode": "train", "epoch": 252, "iter": 159000, "lr": 0.0, "memory": 22018, "data_time": 0.00867, "decode.loss_seg": 0.1741, "decode.acc_seg": 74.7795, "aux.loss_seg": 0.14891, "aux.acc_seg": 69.40861, "loss": 0.323, "time": 0.40453} +{"mode": "train", "epoch": 253, "iter": 159050, "lr": 0.0, "memory": 22018, "data_time": 0.18377, "decode.loss_seg": 0.17129, "decode.acc_seg": 74.39222, "aux.loss_seg": 0.14759, "aux.acc_seg": 68.93148, "loss": 0.31888, "time": 0.57813} +{"mode": "train", "epoch": 253, "iter": 159100, "lr": 0.0, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.17405, "decode.acc_seg": 74.83178, "aux.loss_seg": 0.15151, "aux.acc_seg": 69.1131, "loss": 0.32556, "time": 0.40187} +{"mode": "train", "epoch": 253, "iter": 159150, "lr": 0.0, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17489, "decode.acc_seg": 74.59002, "aux.loss_seg": 0.15388, "aux.acc_seg": 68.68725, "loss": 0.32877, "time": 0.40328} +{"mode": "train", "epoch": 253, "iter": 159200, "lr": 0.0, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.17775, "decode.acc_seg": 75.14744, "aux.loss_seg": 0.15401, "aux.acc_seg": 69.5436, "loss": 0.33176, "time": 0.40336} +{"mode": "train", "epoch": 253, "iter": 159250, "lr": 0.0, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.16963, "decode.acc_seg": 75.45358, "aux.loss_seg": 0.1465, "aux.acc_seg": 69.98684, "loss": 0.31613, "time": 0.40356} +{"mode": "train", "epoch": 253, "iter": 159300, "lr": 0.0, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.17036, "decode.acc_seg": 75.06759, "aux.loss_seg": 0.14426, "aux.acc_seg": 69.77494, "loss": 0.31462, "time": 0.40321} +{"mode": "train", "epoch": 253, "iter": 159350, "lr": 0.0, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.17318, "decode.acc_seg": 74.92457, "aux.loss_seg": 0.14613, "aux.acc_seg": 69.68022, "loss": 0.31931, "time": 0.40387} +{"mode": "train", "epoch": 253, "iter": 159400, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.1698, "decode.acc_seg": 74.41687, "aux.loss_seg": 0.14462, "aux.acc_seg": 69.10084, "loss": 0.31442, "time": 0.40402} +{"mode": "train", "epoch": 253, "iter": 159450, "lr": 0.0, "memory": 22018, "data_time": 0.00761, "decode.loss_seg": 0.1776, "decode.acc_seg": 75.10515, "aux.loss_seg": 0.14889, "aux.acc_seg": 69.74442, "loss": 0.32649, "time": 0.40307} +{"mode": "train", "epoch": 253, "iter": 159500, "lr": 0.0, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.17303, "decode.acc_seg": 75.69172, "aux.loss_seg": 0.1471, "aux.acc_seg": 70.27749, "loss": 0.32013, "time": 0.40451} +{"mode": "train", "epoch": 253, "iter": 159550, "lr": 0.0, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.70394, "aux.loss_seg": 0.15353, "aux.acc_seg": 69.00628, "loss": 0.32934, "time": 0.40326} +{"mode": "train", "epoch": 253, "iter": 159600, "lr": 0.0, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.1708, "decode.acc_seg": 74.56163, "aux.loss_seg": 0.1475, "aux.acc_seg": 69.14166, "loss": 0.3183, "time": 0.40333} +{"mode": "train", "epoch": 254, "iter": 159650, "lr": 0.0, "memory": 22018, "data_time": 0.16863, "decode.loss_seg": 0.17567, "decode.acc_seg": 74.78098, "aux.loss_seg": 0.14687, "aux.acc_seg": 69.55413, "loss": 0.32254, "time": 0.56434} +{"mode": "train", "epoch": 254, "iter": 159700, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.16912, "decode.acc_seg": 74.37575, "aux.loss_seg": 0.14703, "aux.acc_seg": 68.94532, "loss": 0.31615, "time": 0.40123} +{"mode": "train", "epoch": 254, "iter": 159750, "lr": 0.0, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.17141, "decode.acc_seg": 75.26364, "aux.loss_seg": 0.14555, "aux.acc_seg": 70.07714, "loss": 0.31696, "time": 0.40229} +{"mode": "train", "epoch": 254, "iter": 159800, "lr": 0.0, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.17317, "decode.acc_seg": 75.16637, "aux.loss_seg": 0.1469, "aux.acc_seg": 69.67911, "loss": 0.32006, "time": 0.40015} +{"mode": "train", "epoch": 254, "iter": 159850, "lr": 0.0, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.16779, "decode.acc_seg": 74.12576, "aux.loss_seg": 0.14708, "aux.acc_seg": 68.46339, "loss": 0.31487, "time": 0.402} +{"mode": "train", "epoch": 254, "iter": 159900, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.18255, "decode.acc_seg": 74.39152, "aux.loss_seg": 0.1533, "aux.acc_seg": 69.02327, "loss": 0.33585, "time": 0.40126} +{"mode": "train", "epoch": 254, "iter": 159950, "lr": 0.0, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.16988, "decode.acc_seg": 75.07922, "aux.loss_seg": 0.14803, "aux.acc_seg": 69.55418, "loss": 0.31791, "time": 0.40139} +{"mode": "val", "epoch": 254, "iter": 160000, "lr": 0.0, "mIoU": 0.4621, "mAcc": 0.5762, "aAcc": 0.8171, "IoU.wall": 0.7533, "IoU.building": 0.8134, "IoU.sky": 0.9371, "IoU.floor": 0.8007, "IoU.tree": 0.7236, "IoU.ceiling": 0.8332, "IoU.road": 0.8168, "IoU.bed ": 0.8683, "IoU.windowpane": 0.5975, "IoU.grass": 0.6693, "IoU.cabinet": 0.5847, "IoU.sidewalk": 0.6321, "IoU.person": 0.7659, "IoU.earth": 0.341, "IoU.door": 0.438, "IoU.table": 0.5698, "IoU.mountain": 0.5939, "IoU.plant": 0.4957, "IoU.curtain": 0.7171, "IoU.chair": 0.53, "IoU.car": 0.8171, "IoU.water": 0.5184, "IoU.painting": 0.706, "IoU.sofa": 0.6072, "IoU.shelf": 0.381, "IoU.house": 0.4044, "IoU.sea": 0.5083, "IoU.mirror": 0.6083, "IoU.rug": 0.5729, "IoU.field": 0.3065, "IoU.armchair": 0.337, "IoU.seat": 0.5763, "IoU.fence": 0.4364, "IoU.desk": 0.4751, "IoU.rock": 0.4475, "IoU.wardrobe": 0.5072, "IoU.lamp": 0.5728, "IoU.bathtub": 0.7696, "IoU.railing": 0.3316, "IoU.cushion": 0.5255, "IoU.base": 0.2931, "IoU.box": 0.2148, "IoU.column": 0.411, "IoU.signboard": 0.34, "IoU.chest of drawers": 0.3668, "IoU.counter": 0.277, "IoU.sand": 0.3309, "IoU.sink": 0.6895, "IoU.skyscraper": 0.6893, "IoU.fireplace": NaN, "IoU.refrigerator": 0.63, "IoU.grandstand": 0.4183, "IoU.path": 0.2299, "IoU.stairs": 0.2822, "IoU.runway": 0.6383, "IoU.case": 0.3698, "IoU.pool table": 0.9108, "IoU.pillow": 0.5182, "IoU.screen door": 0.6528, "IoU.stairway": 0.2728, "IoU.river": 0.1013, "IoU.bridge": 0.6111, "IoU.bookcase": 0.4233, "IoU.blind": NaN, "IoU.coffee table": 0.5309, "IoU.toilet": 0.8308, "IoU.flower": 0.4117, "IoU.book": 0.4438, "IoU.hill": 0.131, "IoU.bench": 0.3828, "IoU.countertop": 0.5226, "IoU.stove": 0.7014, "IoU.palm": 0.437, "IoU.kitchen island": 0.3295, "IoU.computer": 0.5796, "IoU.swivel chair": 0.3852, "IoU.boat": 0.5806, "IoU.bar": 0.3525, "IoU.arcade machine": 0.3695, "IoU.hovel": 0.3236, "IoU.bus": 0.8386, "IoU.towel": 0.6119, "IoU.light": 0.5303, "IoU.truck": 0.3626, "IoU.tower": 0.085, "IoU.chandelier": 0.6283, "IoU.awning": 0.3011, "IoU.streetlight": 0.2006, "IoU.booth": 0.5542, "IoU.television receiver": NaN, "IoU.airplane": 0.5485, "IoU.dirt track": 0.2938, "IoU.apparel": 0.3593, "IoU.pole": 0.1704, "IoU.land": 0.0023, "IoU.bannister": 0.1081, "IoU.escalator": 0.2165, "IoU.ottoman": 0.3568, "IoU.bottle": NaN, "IoU.buffet": 0.384, "IoU.poster": 0.3213, "IoU.stage": 0.1738, "IoU.van": 0.4173, "IoU.ship": 0.6505, "IoU.fountain": 0.2133, "IoU.conveyer belt": 0.7455, "IoU.canopy": 0.2591, "IoU.washer": 0.6981, "IoU.plaything": 0.1922, "IoU.swimming pool": 0.6798, "IoU.stool": 0.4362, "IoU.barrel": 0.5094, "IoU.basket": 0.2446, "IoU.waterfall": 0.5159, "IoU.tent": 0.9259, "IoU.bag": 0.1298, "IoU.minibike": 0.6256, "IoU.cradle": NaN, "IoU.oven": 0.4531, "IoU.ball": 0.4005, "IoU.food": 0.4731, "IoU.step": 0.1208, "IoU.tank": 0.4742, "IoU.trade name": 0.2294, "IoU.microwave": 0.7188, "IoU.pot": 0.4794, "IoU.animal": NaN, "IoU.bicycle": 0.5038, "IoU.lake": 0.4655, "IoU.dishwasher": 0.4891, "IoU.screen": 0.5914, "IoU.blanket": 0.1032, "IoU.sculpture": 0.535, "IoU.hood": 0.5487, "IoU.sconce": 0.3942, "IoU.vase": 0.3124, "IoU.traffic light": 0.258, "IoU.tray": 0.08, "IoU.ashcan": 0.3282, "IoU.fan": 0.5452, "IoU.pier": 0.579, "IoU.crt screen": 0.0648, "IoU.plate": 0.5235, "IoU.monitor": 0.1148, "IoU.bulletin board": 0.3164, "IoU.shower": 0.026, "IoU.radiator": 0.4422, "IoU.glass": 0.1181, "IoU.clock": 0.3862, "IoU.flag": 0.2983, "Acc.wall": 0.8731, "Acc.building": 0.9154, "Acc.sky": 0.973, "Acc.floor": 0.9031, "Acc.tree": 0.87, "Acc.ceiling": 0.9202, "Acc.road": 0.8912, "Acc.bed ": 0.9509, "Acc.windowpane": 0.7745, "Acc.grass": 0.841, "Acc.cabinet": 0.7207, "Acc.sidewalk": 0.8105, "Acc.person": 0.9085, "Acc.earth": 0.4587, "Acc.door": 0.5634, "Acc.table": 0.7442, "Acc.mountain": 0.7694, "Acc.plant": 0.6075, "Acc.curtain": 0.8376, "Acc.chair": 0.6845, "Acc.car": 0.9122, "Acc.water": 0.6652, "Acc.painting": 0.8622, "Acc.sofa": 0.8089, "Acc.shelf": 0.5382, "Acc.house": 0.5916, "Acc.sea": 0.7332, "Acc.mirror": 0.6894, "Acc.rug": 0.6584, "Acc.field": 0.4252, "Acc.armchair": 0.4684, "Acc.seat": 0.7659, "Acc.fence": 0.5887, "Acc.desk": 0.6644, "Acc.rock": 0.7101, "Acc.wardrobe": 0.6598, "Acc.lamp": 0.7072, "Acc.bathtub": 0.8309, "Acc.railing": 0.4581, "Acc.cushion": 0.6883, "Acc.base": 0.4266, "Acc.box": 0.2721, "Acc.column": 0.5187, "Acc.signboard": 0.4739, "Acc.chest of drawers": 0.5533, "Acc.counter": 0.3201, "Acc.sand": 0.5431, "Acc.sink": 0.7825, "Acc.skyscraper": 0.8505, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7755, "Acc.grandstand": 0.6246, "Acc.path": 0.326, "Acc.stairs": 0.3532, "Acc.runway": 0.8503, "Acc.case": 0.4831, "Acc.pool table": 0.9596, "Acc.pillow": 0.6053, "Acc.screen door": 0.7543, "Acc.stairway": 0.3789, "Acc.river": 0.2142, "Acc.bridge": 0.7779, "Acc.bookcase": 0.5189, "Acc.blind": NaN, "Acc.coffee table": 0.759, "Acc.toilet": 0.8891, "Acc.flower": 0.5548, "Acc.book": 0.6552, "Acc.hill": 0.1598, "Acc.bench": 0.4616, "Acc.countertop": 0.6931, "Acc.stove": 0.7917, "Acc.palm": 0.6652, "Acc.kitchen island": 0.5671, "Acc.computer": 0.7086, "Acc.swivel chair": 0.5354, "Acc.boat": 0.6748, "Acc.bar": 0.4432, "Acc.arcade machine": 0.3836, "Acc.hovel": 0.3484, "Acc.bus": 0.9196, "Acc.towel": 0.7401, "Acc.light": 0.6128, "Acc.truck": 0.4739, "Acc.tower": 0.1065, "Acc.chandelier": 0.7742, "Acc.awning": 0.3673, "Acc.streetlight": 0.2678, "Acc.booth": 0.6806, "Acc.television receiver": NaN, "Acc.airplane": 0.6172, "Acc.dirt track": 0.5034, "Acc.apparel": 0.4705, "Acc.pole": 0.2507, "Acc.land": 0.0028, "Acc.bannister": 0.1418, "Acc.escalator": 0.2536, "Acc.ottoman": 0.5478, "Acc.bottle": NaN, "Acc.buffet": 0.4393, "Acc.poster": 0.4091, "Acc.stage": 0.2388, "Acc.van": 0.5403, "Acc.ship": 0.9115, "Acc.fountain": 0.2264, "Acc.conveyer belt": 0.8609, "Acc.canopy": 0.3058, "Acc.washer": 0.7276, "Acc.plaything": 0.2835, "Acc.swimming pool": 0.7782, "Acc.stool": 0.5406, "Acc.barrel": 0.653, "Acc.basket": 0.4165, "Acc.waterfall": 0.5572, "Acc.tent": 0.9857, "Acc.bag": 0.1723, "Acc.minibike": 0.7628, "Acc.cradle": NaN, "Acc.oven": 0.59, "Acc.ball": 0.484, "Acc.food": 0.5449, "Acc.step": 0.1364, "Acc.tank": 0.5384, "Acc.trade name": 0.2737, "Acc.microwave": 0.7965, "Acc.pot": 0.5605, "Acc.animal": NaN, "Acc.bicycle": 0.7126, "Acc.lake": 0.5574, "Acc.dishwasher": 0.6161, "Acc.screen": 0.8067, "Acc.blanket": 0.1159, "Acc.sculpture": 0.6264, "Acc.hood": 0.5967, "Acc.sconce": 0.4753, "Acc.vase": 0.4649, "Acc.traffic light": 0.3966, "Acc.tray": 0.1626, "Acc.ashcan": 0.4221, "Acc.fan": 0.678, "Acc.pier": 0.8675, "Acc.crt screen": 0.1623, "Acc.plate": 0.6989, "Acc.monitor": 0.1266, "Acc.bulletin board": 0.416, "Acc.shower": 0.0794, "Acc.radiator": 0.5024, "Acc.glass": 0.1262, "Acc.clock": 0.4557, "Acc.flag": 0.3488} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt new file mode 100644 index 000000000..6aec2ddc9 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt @@ -0,0 +1,3201 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.0 (default, Nov 6 2019, 21:49:08) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 10.2\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75\n - CuDNN 7.6.5\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.2\nOpenCV: 4.4.0\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+21c6ed5", "seed": null, "exp_name": "upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 18297, "data_time": 0.01056, "decode.loss_seg": 4.07931, "decode.acc_seg": 1.28413, "aux.loss_seg": 1.63968, "aux.acc_seg": 0.30859, "loss": 5.71899, "time": 0.87521} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 3.93081, "decode.acc_seg": 7.49555, "aux.loss_seg": 1.60277, "aux.acc_seg": 0.59169, "loss": 5.53358, "time": 0.78105} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 18297, "data_time": 0.00836, "decode.loss_seg": 3.8244, "decode.acc_seg": 19.8907, "aux.loss_seg": 1.61372, "aux.acc_seg": 1.62632, "loss": 5.43813, "time": 0.78181} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 3.43623, "decode.acc_seg": 32.21265, "aux.loss_seg": 1.5745, "aux.acc_seg": 9.00878, "loss": 5.01073, "time": 0.7862} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 3.22155, "decode.acc_seg": 36.30878, "aux.loss_seg": 1.5774, "aux.acc_seg": 23.84834, "loss": 4.79895, "time": 0.76794} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 2.89613, "decode.acc_seg": 40.10223, "aux.loss_seg": 1.49725, "aux.acc_seg": 35.70248, "loss": 4.39338, "time": 0.7581} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 18297, "data_time": 0.00828, "decode.loss_seg": 2.69112, "decode.acc_seg": 41.6649, "aux.loss_seg": 1.42787, "aux.acc_seg": 38.46446, "loss": 4.11899, "time": 0.75938} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 18297, "data_time": 0.00804, "decode.loss_seg": 2.52282, "decode.acc_seg": 43.48386, "aux.loss_seg": 1.36406, "aux.acc_seg": 39.95798, "loss": 3.88688, "time": 0.75572} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 2.29854, "decode.acc_seg": 44.64845, "aux.loss_seg": 1.28526, "aux.acc_seg": 39.47107, "loss": 3.5838, "time": 0.75523} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 2.19791, "decode.acc_seg": 45.93519, "aux.loss_seg": 1.23539, "aux.acc_seg": 41.28154, "loss": 3.4333, "time": 0.75767} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 2.05488, "decode.acc_seg": 44.70213, "aux.loss_seg": 1.15477, "aux.acc_seg": 39.84694, "loss": 3.20966, "time": 0.76136} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 1.94977, "decode.acc_seg": 47.24802, "aux.loss_seg": 1.12531, "aux.acc_seg": 42.53384, "loss": 3.07508, "time": 0.75497} +{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 1.85359, "decode.acc_seg": 47.78165, "aux.loss_seg": 1.07248, "aux.acc_seg": 42.91982, "loss": 2.92608, "time": 0.75374} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 1.73664, "decode.acc_seg": 47.90252, "aux.loss_seg": 0.99912, "aux.acc_seg": 43.46758, "loss": 2.73576, "time": 0.74652} +{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 18297, "data_time": 0.00898, "decode.loss_seg": 1.70056, "decode.acc_seg": 48.2897, "aux.loss_seg": 0.97727, "aux.acc_seg": 43.70945, "loss": 2.67783, "time": 0.74904} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 18297, "data_time": 0.00903, "decode.loss_seg": 1.60587, "decode.acc_seg": 50.01285, "aux.loss_seg": 0.92876, "aux.acc_seg": 45.05877, "loss": 2.53463, "time": 0.74902} +{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 1.58217, "decode.acc_seg": 48.0638, "aux.loss_seg": 0.89186, "aux.acc_seg": 42.93287, "loss": 2.47404, "time": 0.75166} +{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 18297, "data_time": 0.00858, "decode.loss_seg": 1.44399, "decode.acc_seg": 50.22623, "aux.loss_seg": 0.82646, "aux.acc_seg": 45.57016, "loss": 2.27045, "time": 0.75391} +{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 18297, "data_time": 0.00838, "decode.loss_seg": 1.46701, "decode.acc_seg": 49.50518, "aux.loss_seg": 0.80971, "aux.acc_seg": 44.65404, "loss": 2.27672, "time": 0.75267} +{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 1.48722, "decode.acc_seg": 49.46941, "aux.loss_seg": 0.80786, "aux.acc_seg": 45.17955, "loss": 2.29508, "time": 0.75061} +{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 1.36648, "decode.acc_seg": 50.73466, "aux.loss_seg": 0.74404, "aux.acc_seg": 45.96113, "loss": 2.11052, "time": 0.74953} +{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 1.38863, "decode.acc_seg": 50.6682, "aux.loss_seg": 0.74463, "aux.acc_seg": 46.40692, "loss": 2.13326, "time": 0.75217} +{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 18297, "data_time": 0.00889, "decode.loss_seg": 1.34548, "decode.acc_seg": 50.59165, "aux.loss_seg": 0.70553, "aux.acc_seg": 46.32495, "loss": 2.05101, "time": 0.75989} +{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 18297, "data_time": 0.00809, "decode.loss_seg": 1.34784, "decode.acc_seg": 51.15084, "aux.loss_seg": 0.70315, "aux.acc_seg": 47.02172, "loss": 2.05099, "time": 0.75421} +{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 1.2467, "decode.acc_seg": 51.98273, "aux.loss_seg": 0.64578, "aux.acc_seg": 48.21484, "loss": 1.89247, "time": 0.75353} +{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 18297, "data_time": 0.23088, "decode.loss_seg": 1.22141, "decode.acc_seg": 53.83366, "aux.loss_seg": 0.64038, "aux.acc_seg": 49.70841, "loss": 1.86178, "time": 0.98672} +{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 1.25659, "decode.acc_seg": 51.86476, "aux.loss_seg": 0.64464, "aux.acc_seg": 47.91238, "loss": 1.90122, "time": 0.75985} +{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 18297, "data_time": 0.00855, "decode.loss_seg": 1.27823, "decode.acc_seg": 52.92749, "aux.loss_seg": 0.65057, "aux.acc_seg": 48.16223, "loss": 1.9288, "time": 0.75582} +{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 1.20679, "decode.acc_seg": 53.67021, "aux.loss_seg": 0.61335, "aux.acc_seg": 49.6593, "loss": 1.82014, "time": 0.75464} +{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 1.11875, "decode.acc_seg": 53.48328, "aux.loss_seg": 0.56676, "aux.acc_seg": 50.15853, "loss": 1.68551, "time": 0.75559} +{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 18297, "data_time": 0.00855, "decode.loss_seg": 1.2273, "decode.acc_seg": 52.05194, "aux.loss_seg": 0.60296, "aux.acc_seg": 49.09874, "loss": 1.83025, "time": 0.75977} +{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 1.15394, "decode.acc_seg": 53.42518, "aux.loss_seg": 0.57383, "aux.acc_seg": 50.4964, "loss": 1.72777, "time": 0.75562} +{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 1.08989, "decode.acc_seg": 54.71211, "aux.loss_seg": 0.54563, "aux.acc_seg": 51.6386, "loss": 1.63552, "time": 0.7596} +{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 18297, "data_time": 0.00741, "decode.loss_seg": 1.12268, "decode.acc_seg": 51.76284, "aux.loss_seg": 0.55446, "aux.acc_seg": 49.09491, "loss": 1.67714, "time": 0.76007} +{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 18297, "data_time": 0.00761, "decode.loss_seg": 1.12571, "decode.acc_seg": 52.40794, "aux.loss_seg": 0.5547, "aux.acc_seg": 49.84485, "loss": 1.68041, "time": 0.75618} +{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 18297, "data_time": 0.00767, "decode.loss_seg": 1.08055, "decode.acc_seg": 51.84908, "aux.loss_seg": 0.52969, "aux.acc_seg": 49.79557, "loss": 1.61024, "time": 0.75229} +{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 18297, "data_time": 0.0077, "decode.loss_seg": 1.11647, "decode.acc_seg": 52.48249, "aux.loss_seg": 0.54333, "aux.acc_seg": 50.19034, "loss": 1.6598, "time": 0.7555} +{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 1.04924, "decode.acc_seg": 54.06014, "aux.loss_seg": 0.52335, "aux.acc_seg": 51.01468, "loss": 1.57259, "time": 0.75929} +{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 1.05656, "decode.acc_seg": 55.15954, "aux.loss_seg": 0.52397, "aux.acc_seg": 52.46432, "loss": 1.58053, "time": 0.76029} +{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 18297, "data_time": 0.00822, "decode.loss_seg": 1.05089, "decode.acc_seg": 55.60086, "aux.loss_seg": 0.5168, "aux.acc_seg": 52.91472, "loss": 1.5677, "time": 0.75702} +{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 1.13617, "decode.acc_seg": 54.6848, "aux.loss_seg": 0.5453, "aux.acc_seg": 51.92839, "loss": 1.68147, "time": 0.75674} +{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 18297, "data_time": 0.00777, "decode.loss_seg": 1.03409, "decode.acc_seg": 55.40121, "aux.loss_seg": 0.50602, "aux.acc_seg": 52.79021, "loss": 1.54011, "time": 0.75084} +{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 18297, "data_time": 0.00778, "decode.loss_seg": 1.01515, "decode.acc_seg": 57.17081, "aux.loss_seg": 0.50065, "aux.acc_seg": 54.25936, "loss": 1.51581, "time": 0.75217} +{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 18297, "data_time": 0.00879, "decode.loss_seg": 0.94744, "decode.acc_seg": 56.00041, "aux.loss_seg": 0.46564, "aux.acc_seg": 53.81074, "loss": 1.41308, "time": 0.76114} +{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 18297, "data_time": 0.00865, "decode.loss_seg": 1.03358, "decode.acc_seg": 55.08648, "aux.loss_seg": 0.50614, "aux.acc_seg": 52.40992, "loss": 1.53971, "time": 0.75907} +{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 18297, "data_time": 0.00838, "decode.loss_seg": 1.00364, "decode.acc_seg": 56.91262, "aux.loss_seg": 0.4897, "aux.acc_seg": 54.064, "loss": 1.49334, "time": 0.75657} +{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 18297, "data_time": 0.00782, "decode.loss_seg": 0.99802, "decode.acc_seg": 55.05981, "aux.loss_seg": 0.48467, "aux.acc_seg": 52.72933, "loss": 1.48268, "time": 0.76025} +{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 18297, "data_time": 0.0076, "decode.loss_seg": 0.96771, "decode.acc_seg": 55.507, "aux.loss_seg": 0.47015, "aux.acc_seg": 53.40051, "loss": 1.43786, "time": 0.75496} +{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 18297, "data_time": 0.00804, "decode.loss_seg": 0.94058, "decode.acc_seg": 56.00164, "aux.loss_seg": 0.46123, "aux.acc_seg": 53.2382, "loss": 1.40181, "time": 0.75255} +{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 18297, "data_time": 0.00793, "decode.loss_seg": 0.97091, "decode.acc_seg": 55.87314, "aux.loss_seg": 0.47395, "aux.acc_seg": 53.12366, "loss": 1.44487, "time": 0.75411} +{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 18297, "data_time": 0.23673, "decode.loss_seg": 0.94895, "decode.acc_seg": 55.11199, "aux.loss_seg": 0.46407, "aux.acc_seg": 52.4118, "loss": 1.41302, "time": 0.98453} +{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 18297, "data_time": 0.00782, "decode.loss_seg": 0.85107, "decode.acc_seg": 57.36728, "aux.loss_seg": 0.42808, "aux.acc_seg": 54.22009, "loss": 1.27916, "time": 0.76393} +{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 0.89967, "decode.acc_seg": 58.42914, "aux.loss_seg": 0.44092, "aux.acc_seg": 56.02968, "loss": 1.34058, "time": 0.75726} +{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 18297, "data_time": 0.0082, "decode.loss_seg": 0.87396, "decode.acc_seg": 57.97723, "aux.loss_seg": 0.43715, "aux.acc_seg": 54.93541, "loss": 1.31111, "time": 0.75582} +{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 0.88487, "decode.acc_seg": 57.14775, "aux.loss_seg": 0.436, "aux.acc_seg": 54.09628, "loss": 1.32087, "time": 0.75648} +{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 18297, "data_time": 0.00856, "decode.loss_seg": 0.89052, "decode.acc_seg": 56.26032, "aux.loss_seg": 0.44062, "aux.acc_seg": 53.28474, "loss": 1.33114, "time": 0.76199} +{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 18297, "data_time": 0.00814, "decode.loss_seg": 0.90455, "decode.acc_seg": 57.3889, "aux.loss_seg": 0.45116, "aux.acc_seg": 54.02982, "loss": 1.35572, "time": 0.75121} +{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.91545, "decode.acc_seg": 55.66926, "aux.loss_seg": 0.43765, "aux.acc_seg": 53.54088, "loss": 1.3531, "time": 0.75054} +{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.91206, "decode.acc_seg": 57.56428, "aux.loss_seg": 0.44071, "aux.acc_seg": 54.91726, "loss": 1.35277, "time": 0.75431} +{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.88882, "decode.acc_seg": 57.06353, "aux.loss_seg": 0.42762, "aux.acc_seg": 55.04624, "loss": 1.31644, "time": 0.75044} +{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 18297, "data_time": 0.00846, "decode.loss_seg": 0.8842, "decode.acc_seg": 56.5665, "aux.loss_seg": 0.43242, "aux.acc_seg": 53.88723, "loss": 1.31662, "time": 0.75648} +{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 0.89863, "decode.acc_seg": 57.46287, "aux.loss_seg": 0.42673, "aux.acc_seg": 55.58163, "loss": 1.32536, "time": 0.75926} +{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 18297, "data_time": 0.0081, "decode.loss_seg": 0.88587, "decode.acc_seg": 57.13691, "aux.loss_seg": 0.42321, "aux.acc_seg": 55.22899, "loss": 1.30908, "time": 0.75235} +{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.83309, "decode.acc_seg": 59.97345, "aux.loss_seg": 0.40954, "aux.acc_seg": 57.15521, "loss": 1.24263, "time": 0.752} +{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 0.90737, "decode.acc_seg": 56.41916, "aux.loss_seg": 0.43673, "aux.acc_seg": 53.89636, "loss": 1.3441, "time": 0.75252} +{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 18297, "data_time": 0.00812, "decode.loss_seg": 0.87392, "decode.acc_seg": 57.45568, "aux.loss_seg": 0.42169, "aux.acc_seg": 54.66652, "loss": 1.29561, "time": 0.75474} +{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 0.82592, "decode.acc_seg": 58.06041, "aux.loss_seg": 0.39963, "aux.acc_seg": 55.47203, "loss": 1.22555, "time": 0.75692} +{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 0.85613, "decode.acc_seg": 57.31447, "aux.loss_seg": 0.42066, "aux.acc_seg": 54.49195, "loss": 1.2768, "time": 0.75816} +{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 18297, "data_time": 0.00812, "decode.loss_seg": 0.83497, "decode.acc_seg": 58.95429, "aux.loss_seg": 0.40307, "aux.acc_seg": 56.61288, "loss": 1.23804, "time": 0.75521} +{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 18297, "data_time": 0.00837, "decode.loss_seg": 0.86476, "decode.acc_seg": 58.07438, "aux.loss_seg": 0.41834, "aux.acc_seg": 55.51388, "loss": 1.2831, "time": 0.75024} +{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 18297, "data_time": 0.00794, "decode.loss_seg": 0.8855, "decode.acc_seg": 56.52762, "aux.loss_seg": 0.4224, "aux.acc_seg": 53.81747, "loss": 1.3079, "time": 0.74762} +{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 18297, "data_time": 0.00814, "decode.loss_seg": 0.85284, "decode.acc_seg": 58.54889, "aux.loss_seg": 0.41136, "aux.acc_seg": 55.91926, "loss": 1.2642, "time": 0.75474} +{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 18297, "data_time": 0.00821, "decode.loss_seg": 0.8424, "decode.acc_seg": 57.04016, "aux.loss_seg": 0.39578, "aux.acc_seg": 54.97498, "loss": 1.23817, "time": 0.75279} +{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 18297, "data_time": 0.0078, "decode.loss_seg": 0.86406, "decode.acc_seg": 57.84495, "aux.loss_seg": 0.41124, "aux.acc_seg": 55.78975, "loss": 1.2753, "time": 0.75039} +{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.84417, "decode.acc_seg": 56.69795, "aux.loss_seg": 0.39488, "aux.acc_seg": 54.39111, "loss": 1.23905, "time": 0.7479} +{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 18297, "data_time": 0.24051, "decode.loss_seg": 0.81773, "decode.acc_seg": 60.23294, "aux.loss_seg": 0.38527, "aux.acc_seg": 58.20271, "loss": 1.20301, "time": 0.9756} +{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.81967, "decode.acc_seg": 58.2989, "aux.loss_seg": 0.39308, "aux.acc_seg": 55.70212, "loss": 1.21275, "time": 0.75521} +{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 18297, "data_time": 0.00857, "decode.loss_seg": 0.8762, "decode.acc_seg": 58.80789, "aux.loss_seg": 0.41838, "aux.acc_seg": 56.58458, "loss": 1.29458, "time": 0.75819} +{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 18297, "data_time": 0.00773, "decode.loss_seg": 0.78282, "decode.acc_seg": 58.76895, "aux.loss_seg": 0.38157, "aux.acc_seg": 55.83252, "loss": 1.16439, "time": 0.74979} +{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 18297, "data_time": 0.00753, "decode.loss_seg": 0.76927, "decode.acc_seg": 59.97312, "aux.loss_seg": 0.36913, "aux.acc_seg": 57.48321, "loss": 1.1384, "time": 0.7449} +{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 18297, "data_time": 0.00743, "decode.loss_seg": 0.79563, "decode.acc_seg": 58.91088, "aux.loss_seg": 0.38791, "aux.acc_seg": 56.05703, "loss": 1.18354, "time": 0.74881} +{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 18297, "data_time": 0.0075, "decode.loss_seg": 0.76264, "decode.acc_seg": 58.63948, "aux.loss_seg": 0.36672, "aux.acc_seg": 56.07138, "loss": 1.12936, "time": 0.74799} +{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.7542, "decode.acc_seg": 57.73951, "aux.loss_seg": 0.36112, "aux.acc_seg": 55.50261, "loss": 1.11532, "time": 0.74939} +{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 18297, "data_time": 0.00785, "decode.loss_seg": 0.77158, "decode.acc_seg": 59.3888, "aux.loss_seg": 0.36778, "aux.acc_seg": 57.20552, "loss": 1.13936, "time": 0.74078} +{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 18297, "data_time": 0.00823, "decode.loss_seg": 0.8014, "decode.acc_seg": 58.06195, "aux.loss_seg": 0.38191, "aux.acc_seg": 55.59651, "loss": 1.18331, "time": 0.7435} +{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.79921, "decode.acc_seg": 58.19595, "aux.loss_seg": 0.38192, "aux.acc_seg": 55.54824, "loss": 1.18112, "time": 0.74737} +{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.78691, "decode.acc_seg": 59.04433, "aux.loss_seg": 0.37251, "aux.acc_seg": 57.05134, "loss": 1.15943, "time": 0.74876} +{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 18297, "data_time": 0.00883, "decode.loss_seg": 0.78459, "decode.acc_seg": 59.58762, "aux.loss_seg": 0.37552, "aux.acc_seg": 57.12328, "loss": 1.16012, "time": 0.75913} +{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 18297, "data_time": 0.00826, "decode.loss_seg": 0.75653, "decode.acc_seg": 59.34466, "aux.loss_seg": 0.35578, "aux.acc_seg": 57.71559, "loss": 1.11231, "time": 0.7518} +{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 0.76966, "decode.acc_seg": 58.74534, "aux.loss_seg": 0.35613, "aux.acc_seg": 56.8699, "loss": 1.12579, "time": 0.75146} +{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.80275, "decode.acc_seg": 60.25001, "aux.loss_seg": 0.3892, "aux.acc_seg": 57.95787, "loss": 1.19195, "time": 0.74933} +{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.78123, "decode.acc_seg": 58.84605, "aux.loss_seg": 0.37523, "aux.acc_seg": 55.86032, "loss": 1.15647, "time": 0.75467} +{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 18297, "data_time": 0.00793, "decode.loss_seg": 0.74495, "decode.acc_seg": 58.41005, "aux.loss_seg": 0.35302, "aux.acc_seg": 56.0857, "loss": 1.09797, "time": 0.74563} +{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 18297, "data_time": 0.00805, "decode.loss_seg": 0.75905, "decode.acc_seg": 58.96789, "aux.loss_seg": 0.35469, "aux.acc_seg": 57.08189, "loss": 1.11374, "time": 0.74403} +{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.75837, "decode.acc_seg": 60.98534, "aux.loss_seg": 0.35558, "aux.acc_seg": 59.08778, "loss": 1.11395, "time": 0.7522} +{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 0.77382, "decode.acc_seg": 59.46718, "aux.loss_seg": 0.36401, "aux.acc_seg": 57.24846, "loss": 1.13784, "time": 0.74979} +{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.76662, "decode.acc_seg": 60.76549, "aux.loss_seg": 0.36105, "aux.acc_seg": 58.87933, "loss": 1.12768, "time": 0.7481} +{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 18297, "data_time": 0.0078, "decode.loss_seg": 0.73, "decode.acc_seg": 59.04032, "aux.loss_seg": 0.34608, "aux.acc_seg": 56.45942, "loss": 1.07608, "time": 0.76152} +{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.76338, "decode.acc_seg": 58.49123, "aux.loss_seg": 0.35842, "aux.acc_seg": 56.49717, "loss": 1.1218, "time": 0.75374} +{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.75953, "decode.acc_seg": 59.75652, "aux.loss_seg": 0.35801, "aux.acc_seg": 57.54316, "loss": 1.11754, "time": 0.74656} +{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 18297, "data_time": 0.0082, "decode.loss_seg": 0.75647, "decode.acc_seg": 59.74469, "aux.loss_seg": 0.3523, "aux.acc_seg": 57.96304, "loss": 1.10877, "time": 0.74829} +{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 18297, "data_time": 0.23571, "decode.loss_seg": 0.72106, "decode.acc_seg": 61.08092, "aux.loss_seg": 0.34411, "aux.acc_seg": 59.06593, "loss": 1.06517, "time": 0.98157} +{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.69674, "decode.acc_seg": 60.02604, "aux.loss_seg": 0.33447, "aux.acc_seg": 57.69662, "loss": 1.03121, "time": 0.7495} +{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 18297, "data_time": 0.00793, "decode.loss_seg": 0.70492, "decode.acc_seg": 59.32512, "aux.loss_seg": 0.33406, "aux.acc_seg": 57.59918, "loss": 1.03898, "time": 0.74608} +{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 18297, "data_time": 0.00792, "decode.loss_seg": 0.73962, "decode.acc_seg": 59.15424, "aux.loss_seg": 0.3501, "aux.acc_seg": 57.04862, "loss": 1.08973, "time": 0.74738} +{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 18297, "data_time": 0.00788, "decode.loss_seg": 0.7341, "decode.acc_seg": 58.69139, "aux.loss_seg": 0.34393, "aux.acc_seg": 56.7023, "loss": 1.07803, "time": 0.74533} +{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 18297, "data_time": 0.00788, "decode.loss_seg": 0.72462, "decode.acc_seg": 60.33425, "aux.loss_seg": 0.34109, "aux.acc_seg": 58.36076, "loss": 1.06571, "time": 0.74937} +{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.70861, "decode.acc_seg": 60.14418, "aux.loss_seg": 0.33835, "aux.acc_seg": 57.48844, "loss": 1.04695, "time": 0.75092} +{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 18297, "data_time": 0.00752, "decode.loss_seg": 0.66941, "decode.acc_seg": 60.86102, "aux.loss_seg": 0.31146, "aux.acc_seg": 59.024, "loss": 0.98088, "time": 0.74804} +{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 18297, "data_time": 0.00791, "decode.loss_seg": 0.72266, "decode.acc_seg": 58.60018, "aux.loss_seg": 0.33839, "aux.acc_seg": 56.80512, "loss": 1.06105, "time": 0.74701} +{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 18297, "data_time": 0.00788, "decode.loss_seg": 0.73883, "decode.acc_seg": 60.23932, "aux.loss_seg": 0.34702, "aux.acc_seg": 58.20937, "loss": 1.08585, "time": 0.74421} +{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 18297, "data_time": 0.00757, "decode.loss_seg": 0.73994, "decode.acc_seg": 59.80742, "aux.loss_seg": 0.35094, "aux.acc_seg": 57.66404, "loss": 1.09087, "time": 0.73884} +{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 18297, "data_time": 0.00781, "decode.loss_seg": 0.66224, "decode.acc_seg": 61.22154, "aux.loss_seg": 0.30646, "aux.acc_seg": 59.47675, "loss": 0.9687, "time": 0.74182} +{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 18297, "data_time": 0.00808, "decode.loss_seg": 0.7279, "decode.acc_seg": 59.663, "aux.loss_seg": 0.3349, "aux.acc_seg": 58.08718, "loss": 1.0628, "time": 0.74806} +{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 18297, "data_time": 0.00794, "decode.loss_seg": 0.71926, "decode.acc_seg": 58.90797, "aux.loss_seg": 0.33001, "aux.acc_seg": 57.12409, "loss": 1.04927, "time": 0.74947} +{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 18297, "data_time": 0.00778, "decode.loss_seg": 0.70061, "decode.acc_seg": 60.36459, "aux.loss_seg": 0.32319, "aux.acc_seg": 58.83467, "loss": 1.0238, "time": 0.75286} +{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 18297, "data_time": 0.00771, "decode.loss_seg": 0.73965, "decode.acc_seg": 60.04944, "aux.loss_seg": 0.33839, "aux.acc_seg": 58.5246, "loss": 1.07804, "time": 0.74147} +{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 18297, "data_time": 0.00742, "decode.loss_seg": 0.67469, "decode.acc_seg": 61.95081, "aux.loss_seg": 0.31656, "aux.acc_seg": 60.3255, "loss": 0.99126, "time": 0.7383} +{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 18297, "data_time": 0.0079, "decode.loss_seg": 0.71998, "decode.acc_seg": 60.57462, "aux.loss_seg": 0.33258, "aux.acc_seg": 58.65066, "loss": 1.05256, "time": 0.74236} +{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 18297, "data_time": 0.00784, "decode.loss_seg": 0.71421, "decode.acc_seg": 60.37175, "aux.loss_seg": 0.32637, "aux.acc_seg": 58.90902, "loss": 1.04058, "time": 0.74482} +{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 18297, "data_time": 0.00778, "decode.loss_seg": 0.70316, "decode.acc_seg": 60.52718, "aux.loss_seg": 0.32574, "aux.acc_seg": 58.25856, "loss": 1.0289, "time": 0.74688} +{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 18297, "data_time": 0.00798, "decode.loss_seg": 0.71973, "decode.acc_seg": 61.75259, "aux.loss_seg": 0.33751, "aux.acc_seg": 59.97053, "loss": 1.05724, "time": 0.74911} +{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.73078, "decode.acc_seg": 58.93976, "aux.loss_seg": 0.33619, "aux.acc_seg": 57.17119, "loss": 1.06697, "time": 0.74266} +{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 18297, "data_time": 0.00789, "decode.loss_seg": 0.73236, "decode.acc_seg": 59.68825, "aux.loss_seg": 0.33522, "aux.acc_seg": 58.0778, "loss": 1.06758, "time": 0.75166} +{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.70942, "decode.acc_seg": 60.2112, "aux.loss_seg": 0.3264, "aux.acc_seg": 58.31818, "loss": 1.03581, "time": 0.74673} +{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 18297, "data_time": 0.00785, "decode.loss_seg": 0.70698, "decode.acc_seg": 60.92528, "aux.loss_seg": 0.32022, "aux.acc_seg": 59.72873, "loss": 1.0272, "time": 0.74949} +{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 18297, "data_time": 0.23169, "decode.loss_seg": 0.65399, "decode.acc_seg": 62.20238, "aux.loss_seg": 0.3067, "aux.acc_seg": 60.00731, "loss": 0.96069, "time": 0.9752} +{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.65743, "decode.acc_seg": 62.07719, "aux.loss_seg": 0.30558, "aux.acc_seg": 60.41348, "loss": 0.96301, "time": 0.7468} +{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 18297, "data_time": 0.0078, "decode.loss_seg": 0.69305, "decode.acc_seg": 61.01605, "aux.loss_seg": 0.31806, "aux.acc_seg": 59.49586, "loss": 1.01111, "time": 0.74286} +{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.68594, "decode.acc_seg": 61.21542, "aux.loss_seg": 0.32083, "aux.acc_seg": 59.14203, "loss": 1.00677, "time": 0.75192} +{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.68065, "decode.acc_seg": 60.7725, "aux.loss_seg": 0.30978, "aux.acc_seg": 59.31433, "loss": 0.99043, "time": 0.74753} +{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.65099, "decode.acc_seg": 61.05378, "aux.loss_seg": 0.30345, "aux.acc_seg": 59.51792, "loss": 0.95444, "time": 0.7518} +{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.67479, "decode.acc_seg": 60.62631, "aux.loss_seg": 0.3133, "aux.acc_seg": 59.00177, "loss": 0.98809, "time": 0.74534} +{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 18297, "data_time": 0.0081, "decode.loss_seg": 0.6992, "decode.acc_seg": 60.50778, "aux.loss_seg": 0.32081, "aux.acc_seg": 58.67862, "loss": 1.02001, "time": 0.74886} +{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 18297, "data_time": 0.00844, "decode.loss_seg": 0.68617, "decode.acc_seg": 61.46758, "aux.loss_seg": 0.31587, "aux.acc_seg": 59.60356, "loss": 1.00204, "time": 0.75044} +{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.67852, "decode.acc_seg": 60.46489, "aux.loss_seg": 0.31692, "aux.acc_seg": 58.53823, "loss": 0.99544, "time": 0.74747} +{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.67003, "decode.acc_seg": 61.94099, "aux.loss_seg": 0.31087, "aux.acc_seg": 59.96114, "loss": 0.9809, "time": 0.74638} +{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 0.66236, "decode.acc_seg": 62.43565, "aux.loss_seg": 0.30478, "aux.acc_seg": 60.79441, "loss": 0.96714, "time": 0.74089} +{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.6652, "decode.acc_seg": 62.39178, "aux.loss_seg": 0.30983, "aux.acc_seg": 60.49015, "loss": 0.97503, "time": 0.74124} +{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.64061, "decode.acc_seg": 61.31641, "aux.loss_seg": 0.29508, "aux.acc_seg": 59.63861, "loss": 0.93569, "time": 0.7447} +{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 18297, "data_time": 0.00805, "decode.loss_seg": 0.66049, "decode.acc_seg": 62.08593, "aux.loss_seg": 0.29978, "aux.acc_seg": 60.52689, "loss": 0.96027, "time": 0.74578} +{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 18297, "data_time": 0.00838, "decode.loss_seg": 0.64387, "decode.acc_seg": 61.30978, "aux.loss_seg": 0.29801, "aux.acc_seg": 59.67212, "loss": 0.94188, "time": 0.74573} +{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 0.67839, "decode.acc_seg": 61.10731, "aux.loss_seg": 0.31094, "aux.acc_seg": 59.54419, "loss": 0.98932, "time": 0.75045} +{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.69353, "decode.acc_seg": 61.40545, "aux.loss_seg": 0.31135, "aux.acc_seg": 60.32173, "loss": 1.00488, "time": 0.74879} +{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.69703, "decode.acc_seg": 61.16972, "aux.loss_seg": 0.31943, "aux.acc_seg": 59.4818, "loss": 1.01645, "time": 0.7389} +{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.63533, "decode.acc_seg": 61.80954, "aux.loss_seg": 0.29003, "aux.acc_seg": 60.1269, "loss": 0.92536, "time": 0.74121} +{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.69906, "decode.acc_seg": 62.79596, "aux.loss_seg": 0.3162, "aux.acc_seg": 61.16008, "loss": 1.01526, "time": 0.74644} +{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.69908, "decode.acc_seg": 60.23344, "aux.loss_seg": 0.31635, "aux.acc_seg": 58.5802, "loss": 1.01543, "time": 0.74891} +{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 18297, "data_time": 0.00798, "decode.loss_seg": 0.65389, "decode.acc_seg": 61.73991, "aux.loss_seg": 0.29515, "aux.acc_seg": 60.34857, "loss": 0.94904, "time": 0.74611} +{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 0.66144, "decode.acc_seg": 61.13308, "aux.loss_seg": 0.29929, "aux.acc_seg": 59.51982, "loss": 0.96073, "time": 0.74123} +{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.67407, "decode.acc_seg": 61.26217, "aux.loss_seg": 0.30468, "aux.acc_seg": 59.73636, "loss": 0.97876, "time": 0.74607} +{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 18297, "data_time": 0.24282, "decode.loss_seg": 0.64131, "decode.acc_seg": 61.6086, "aux.loss_seg": 0.29522, "aux.acc_seg": 60.3247, "loss": 0.93653, "time": 0.97813} +{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 0.63323, "decode.acc_seg": 61.91391, "aux.loss_seg": 0.2896, "aux.acc_seg": 60.62206, "loss": 0.92283, "time": 0.73875} +{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 18297, "data_time": 0.00909, "decode.loss_seg": 0.66797, "decode.acc_seg": 62.0885, "aux.loss_seg": 0.30588, "aux.acc_seg": 60.58982, "loss": 0.97385, "time": 0.74429} +{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 18297, "data_time": 0.00857, "decode.loss_seg": 0.67168, "decode.acc_seg": 63.38249, "aux.loss_seg": 0.30694, "aux.acc_seg": 61.88662, "loss": 0.97862, "time": 0.74611} +{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 0.62527, "decode.acc_seg": 61.4318, "aux.loss_seg": 0.28469, "aux.acc_seg": 60.07251, "loss": 0.90996, "time": 0.74608} +{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 18297, "data_time": 0.00899, "decode.loss_seg": 0.63199, "decode.acc_seg": 61.96382, "aux.loss_seg": 0.29402, "aux.acc_seg": 60.16273, "loss": 0.92601, "time": 0.74625} +{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 18297, "data_time": 0.00918, "decode.loss_seg": 0.66878, "decode.acc_seg": 60.70541, "aux.loss_seg": 0.30171, "aux.acc_seg": 58.95364, "loss": 0.97049, "time": 0.74131} +{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 18297, "data_time": 0.00928, "decode.loss_seg": 0.66113, "decode.acc_seg": 60.84902, "aux.loss_seg": 0.2982, "aux.acc_seg": 59.55677, "loss": 0.95933, "time": 0.74037} +{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 18297, "data_time": 0.00908, "decode.loss_seg": 0.63304, "decode.acc_seg": 63.41203, "aux.loss_seg": 0.28956, "aux.acc_seg": 61.64033, "loss": 0.9226, "time": 0.7408} +{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 18297, "data_time": 0.00888, "decode.loss_seg": 0.65225, "decode.acc_seg": 61.91022, "aux.loss_seg": 0.2981, "aux.acc_seg": 60.21239, "loss": 0.95035, "time": 0.74178} +{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 18297, "data_time": 0.00903, "decode.loss_seg": 0.64303, "decode.acc_seg": 60.94825, "aux.loss_seg": 0.29405, "aux.acc_seg": 59.55191, "loss": 0.93708, "time": 0.74381} +{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.64926, "decode.acc_seg": 63.18539, "aux.loss_seg": 0.29476, "aux.acc_seg": 61.93001, "loss": 0.94402, "time": 0.74112} +{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 18297, "data_time": 0.00872, "decode.loss_seg": 0.62665, "decode.acc_seg": 61.88773, "aux.loss_seg": 0.28348, "aux.acc_seg": 60.74374, "loss": 0.91013, "time": 0.74527} +{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 18297, "data_time": 0.00851, "decode.loss_seg": 0.64787, "decode.acc_seg": 61.21898, "aux.loss_seg": 0.29423, "aux.acc_seg": 59.78623, "loss": 0.9421, "time": 0.73753} +{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 18297, "data_time": 0.00846, "decode.loss_seg": 0.65552, "decode.acc_seg": 62.29304, "aux.loss_seg": 0.2955, "aux.acc_seg": 61.07544, "loss": 0.95103, "time": 0.73717} +{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 18297, "data_time": 0.0085, "decode.loss_seg": 0.63193, "decode.acc_seg": 62.48116, "aux.loss_seg": 0.28322, "aux.acc_seg": 61.12974, "loss": 0.91515, "time": 0.7403} +{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 18297, "data_time": 0.00854, "decode.loss_seg": 0.65504, "decode.acc_seg": 63.17292, "aux.loss_seg": 0.2952, "aux.acc_seg": 61.28329, "loss": 0.95024, "time": 0.744} +{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 18297, "data_time": 0.0087, "decode.loss_seg": 0.66356, "decode.acc_seg": 60.96303, "aux.loss_seg": 0.30473, "aux.acc_seg": 59.04837, "loss": 0.96829, "time": 0.7429} +{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 18297, "data_time": 0.00875, "decode.loss_seg": 0.6308, "decode.acc_seg": 60.9869, "aux.loss_seg": 0.29061, "aux.acc_seg": 59.24113, "loss": 0.92141, "time": 0.74382} +{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.61776, "decode.acc_seg": 62.81424, "aux.loss_seg": 0.28131, "aux.acc_seg": 61.21516, "loss": 0.89907, "time": 0.73937} +{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 0.61524, "decode.acc_seg": 61.67572, "aux.loss_seg": 0.28185, "aux.acc_seg": 60.26315, "loss": 0.8971, "time": 0.74369} +{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 0.63015, "decode.acc_seg": 62.24677, "aux.loss_seg": 0.28445, "aux.acc_seg": 60.96127, "loss": 0.91459, "time": 0.73606} +{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.64537, "decode.acc_seg": 62.03353, "aux.loss_seg": 0.29092, "aux.acc_seg": 60.7843, "loss": 0.93629, "time": 0.73601} +{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 0.64913, "decode.acc_seg": 62.51765, "aux.loss_seg": 0.29051, "aux.acc_seg": 61.02606, "loss": 0.93964, "time": 0.73924} +{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 18297, "data_time": 0.00836, "decode.loss_seg": 0.67686, "decode.acc_seg": 61.78904, "aux.loss_seg": 0.30388, "aux.acc_seg": 60.36178, "loss": 0.98074, "time": 0.74131} +{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 18297, "data_time": 0.22892, "decode.loss_seg": 0.61084, "decode.acc_seg": 63.47135, "aux.loss_seg": 0.28013, "aux.acc_seg": 61.77927, "loss": 0.89097, "time": 0.97451} +{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.62697, "decode.acc_seg": 63.19106, "aux.loss_seg": 0.28487, "aux.acc_seg": 61.70466, "loss": 0.91185, "time": 0.73452} +{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 0.60434, "decode.acc_seg": 62.5192, "aux.loss_seg": 0.28123, "aux.acc_seg": 60.62896, "loss": 0.88557, "time": 0.73473} +{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 18297, "data_time": 0.00834, "decode.loss_seg": 0.61582, "decode.acc_seg": 64.38753, "aux.loss_seg": 0.28179, "aux.acc_seg": 62.93982, "loss": 0.8976, "time": 0.74154} +{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 18297, "data_time": 0.00873, "decode.loss_seg": 0.61165, "decode.acc_seg": 64.01964, "aux.loss_seg": 0.28073, "aux.acc_seg": 62.27391, "loss": 0.89238, "time": 0.74157} +{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 0.64964, "decode.acc_seg": 63.2843, "aux.loss_seg": 0.29062, "aux.acc_seg": 62.05039, "loss": 0.94026, "time": 0.74409} +{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 18297, "data_time": 0.00811, "decode.loss_seg": 0.61349, "decode.acc_seg": 63.4495, "aux.loss_seg": 0.27985, "aux.acc_seg": 61.71163, "loss": 0.89334, "time": 0.74006} +{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 18297, "data_time": 0.00809, "decode.loss_seg": 0.62271, "decode.acc_seg": 62.45914, "aux.loss_seg": 0.28215, "aux.acc_seg": 60.76668, "loss": 0.90486, "time": 0.7462} +{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.58737, "decode.acc_seg": 63.68583, "aux.loss_seg": 0.26625, "aux.acc_seg": 62.52696, "loss": 0.85361, "time": 0.74613} +{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 18297, "data_time": 0.00814, "decode.loss_seg": 0.66155, "decode.acc_seg": 60.76089, "aux.loss_seg": 0.29914, "aux.acc_seg": 59.41915, "loss": 0.96068, "time": 0.73459} +{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.62401, "decode.acc_seg": 61.6958, "aux.loss_seg": 0.28267, "aux.acc_seg": 60.38448, "loss": 0.90668, "time": 0.73408} +{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.64998, "decode.acc_seg": 61.98019, "aux.loss_seg": 0.29338, "aux.acc_seg": 60.17092, "loss": 0.94336, "time": 0.73994} +{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 18297, "data_time": 0.00811, "decode.loss_seg": 0.60203, "decode.acc_seg": 62.04657, "aux.loss_seg": 0.27389, "aux.acc_seg": 60.69543, "loss": 0.87592, "time": 0.74041} +{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 18297, "data_time": 0.00779, "decode.loss_seg": 0.60833, "decode.acc_seg": 61.0657, "aux.loss_seg": 0.27511, "aux.acc_seg": 59.59943, "loss": 0.88345, "time": 0.73945} +{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 18297, "data_time": 0.00786, "decode.loss_seg": 0.61018, "decode.acc_seg": 63.3466, "aux.loss_seg": 0.27864, "aux.acc_seg": 61.63045, "loss": 0.88882, "time": 0.74545} +{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 18297, "data_time": 0.00787, "decode.loss_seg": 0.62604, "decode.acc_seg": 62.31717, "aux.loss_seg": 0.28287, "aux.acc_seg": 61.27207, "loss": 0.90891, "time": 0.7394} +{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 18297, "data_time": 0.00794, "decode.loss_seg": 0.60163, "decode.acc_seg": 62.68059, "aux.loss_seg": 0.27432, "aux.acc_seg": 61.23324, "loss": 0.87595, "time": 0.73394} +{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.59517, "decode.acc_seg": 62.72216, "aux.loss_seg": 0.26975, "aux.acc_seg": 61.2631, "loss": 0.86492, "time": 0.73735} +{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 18297, "data_time": 0.0081, "decode.loss_seg": 0.68586, "decode.acc_seg": 61.02561, "aux.loss_seg": 0.30487, "aux.acc_seg": 59.36103, "loss": 0.99073, "time": 0.74269} +{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 18297, "data_time": 0.00797, "decode.loss_seg": 0.63639, "decode.acc_seg": 62.37922, "aux.loss_seg": 0.28274, "aux.acc_seg": 61.07677, "loss": 0.91913, "time": 0.74036} +{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 18297, "data_time": 0.00783, "decode.loss_seg": 0.63422, "decode.acc_seg": 63.91471, "aux.loss_seg": 0.28257, "aux.acc_seg": 62.52252, "loss": 0.91679, "time": 0.7436} +{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.61146, "decode.acc_seg": 61.3998, "aux.loss_seg": 0.27068, "aux.acc_seg": 60.16949, "loss": 0.88214, "time": 0.7454} +{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.59093, "decode.acc_seg": 63.13459, "aux.loss_seg": 0.26911, "aux.acc_seg": 61.4977, "loss": 0.86003, "time": 0.74378} +{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 18297, "data_time": 0.00785, "decode.loss_seg": 0.57326, "decode.acc_seg": 62.84641, "aux.loss_seg": 0.26147, "aux.acc_seg": 61.31627, "loss": 0.83473, "time": 0.74344} +{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 18297, "data_time": 0.00771, "decode.loss_seg": 0.60755, "decode.acc_seg": 63.2649, "aux.loss_seg": 0.27113, "aux.acc_seg": 61.85587, "loss": 0.87868, "time": 0.74272} +{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 18297, "data_time": 0.00747, "decode.loss_seg": 0.61691, "decode.acc_seg": 62.30752, "aux.loss_seg": 0.27585, "aux.acc_seg": 61.13168, "loss": 0.89277, "time": 0.73279} +{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 18297, "data_time": 0.23324, "decode.loss_seg": 0.59034, "decode.acc_seg": 63.45835, "aux.loss_seg": 0.26804, "aux.acc_seg": 62.04128, "loss": 0.85838, "time": 0.965} +{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.56295, "decode.acc_seg": 63.35096, "aux.loss_seg": 0.26006, "aux.acc_seg": 61.65876, "loss": 0.823, "time": 0.73804} +{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 18297, "data_time": 0.00863, "decode.loss_seg": 0.5687, "decode.acc_seg": 63.48294, "aux.loss_seg": 0.25667, "aux.acc_seg": 62.12447, "loss": 0.82538, "time": 0.73998} +{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 0.55916, "decode.acc_seg": 64.26199, "aux.loss_seg": 0.25635, "aux.acc_seg": 62.87279, "loss": 0.81552, "time": 0.73998} +{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 18297, "data_time": 0.00875, "decode.loss_seg": 0.5879, "decode.acc_seg": 63.80254, "aux.loss_seg": 0.27068, "aux.acc_seg": 62.076, "loss": 0.85858, "time": 0.74221} +{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 18297, "data_time": 0.00834, "decode.loss_seg": 0.5833, "decode.acc_seg": 62.19221, "aux.loss_seg": 0.26583, "aux.acc_seg": 60.456, "loss": 0.84913, "time": 0.74446} +{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 18297, "data_time": 0.00866, "decode.loss_seg": 0.58774, "decode.acc_seg": 62.92568, "aux.loss_seg": 0.26768, "aux.acc_seg": 61.09379, "loss": 0.85543, "time": 0.74085} +{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 18297, "data_time": 0.00828, "decode.loss_seg": 0.62397, "decode.acc_seg": 62.12454, "aux.loss_seg": 0.28269, "aux.acc_seg": 60.61744, "loss": 0.90666, "time": 0.73856} +{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.58883, "decode.acc_seg": 62.75391, "aux.loss_seg": 0.26804, "aux.acc_seg": 61.27304, "loss": 0.85687, "time": 0.74293} +{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 18297, "data_time": 0.00895, "decode.loss_seg": 0.60074, "decode.acc_seg": 63.50748, "aux.loss_seg": 0.27607, "aux.acc_seg": 61.46941, "loss": 0.87681, "time": 0.75892} +{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 18297, "data_time": 0.00874, "decode.loss_seg": 0.56783, "decode.acc_seg": 64.40608, "aux.loss_seg": 0.25841, "aux.acc_seg": 62.79394, "loss": 0.82624, "time": 0.75077} +{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 0.59247, "decode.acc_seg": 63.63509, "aux.loss_seg": 0.26941, "aux.acc_seg": 62.06433, "loss": 0.86188, "time": 0.73993} +{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 18297, "data_time": 0.0088, "decode.loss_seg": 0.61112, "decode.acc_seg": 62.48845, "aux.loss_seg": 0.27395, "aux.acc_seg": 61.36188, "loss": 0.88507, "time": 0.74665} +{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 18297, "data_time": 0.00906, "decode.loss_seg": 0.5928, "decode.acc_seg": 64.04279, "aux.loss_seg": 0.27153, "aux.acc_seg": 62.23587, "loss": 0.86433, "time": 0.74301} +{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 18297, "data_time": 0.00847, "decode.loss_seg": 0.59896, "decode.acc_seg": 64.90021, "aux.loss_seg": 0.26734, "aux.acc_seg": 63.54732, "loss": 0.8663, "time": 0.73752} +{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.59052, "decode.acc_seg": 63.06522, "aux.loss_seg": 0.26809, "aux.acc_seg": 61.50042, "loss": 0.85861, "time": 0.73763} +{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.60564, "decode.acc_seg": 62.08507, "aux.loss_seg": 0.27271, "aux.acc_seg": 60.93825, "loss": 0.87834, "time": 0.7386} +{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 0.5911, "decode.acc_seg": 63.40753, "aux.loss_seg": 0.26757, "aux.acc_seg": 62.02951, "loss": 0.85868, "time": 0.74273} +{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 18297, "data_time": 0.00888, "decode.loss_seg": 0.5984, "decode.acc_seg": 60.92875, "aux.loss_seg": 0.26999, "aux.acc_seg": 59.64908, "loss": 0.86839, "time": 0.74489} +{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 18297, "data_time": 0.00869, "decode.loss_seg": 0.57917, "decode.acc_seg": 63.7728, "aux.loss_seg": 0.26748, "aux.acc_seg": 61.97371, "loss": 0.84665, "time": 0.74961} +{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.62441, "decode.acc_seg": 61.51536, "aux.loss_seg": 0.28191, "aux.acc_seg": 60.12014, "loss": 0.90632, "time": 0.743} +{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 18297, "data_time": 0.00886, "decode.loss_seg": 0.589, "decode.acc_seg": 63.37563, "aux.loss_seg": 0.26531, "aux.acc_seg": 61.98948, "loss": 0.85431, "time": 0.7353} +{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.58553, "decode.acc_seg": 63.36733, "aux.loss_seg": 0.26111, "aux.acc_seg": 62.01396, "loss": 0.84664, "time": 0.73169} +{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 18297, "data_time": 0.00847, "decode.loss_seg": 0.54949, "decode.acc_seg": 63.33186, "aux.loss_seg": 0.2508, "aux.acc_seg": 61.74805, "loss": 0.80029, "time": 0.73938} +{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 18297, "data_time": 0.00843, "decode.loss_seg": 0.59265, "decode.acc_seg": 62.01637, "aux.loss_seg": 0.26361, "aux.acc_seg": 60.94442, "loss": 0.85626, "time": 0.73524} +{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 18297, "data_time": 0.23925, "decode.loss_seg": 0.54012, "decode.acc_seg": 63.37339, "aux.loss_seg": 0.24332, "aux.acc_seg": 61.9171, "loss": 0.78344, "time": 0.98272} +{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.57643, "decode.acc_seg": 62.57115, "aux.loss_seg": 0.26167, "aux.acc_seg": 60.87369, "loss": 0.8381, "time": 0.74367} +{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 18297, "data_time": 0.00809, "decode.loss_seg": 0.55176, "decode.acc_seg": 64.95346, "aux.loss_seg": 0.25249, "aux.acc_seg": 63.42413, "loss": 0.80426, "time": 0.73914} +{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 18297, "data_time": 0.00843, "decode.loss_seg": 0.56133, "decode.acc_seg": 63.61687, "aux.loss_seg": 0.25521, "aux.acc_seg": 62.16153, "loss": 0.81654, "time": 0.7386} +{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 0.56277, "decode.acc_seg": 64.4749, "aux.loss_seg": 0.25526, "aux.acc_seg": 62.75335, "loss": 0.81803, "time": 0.73481} +{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 0.57111, "decode.acc_seg": 63.75257, "aux.loss_seg": 0.25923, "aux.acc_seg": 62.25564, "loss": 0.83034, "time": 0.73194} +{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 18297, "data_time": 0.00812, "decode.loss_seg": 0.57984, "decode.acc_seg": 64.1224, "aux.loss_seg": 0.26113, "aux.acc_seg": 62.54131, "loss": 0.84098, "time": 0.73571} +{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.53773, "decode.acc_seg": 64.70542, "aux.loss_seg": 0.24558, "aux.acc_seg": 63.14848, "loss": 0.78332, "time": 0.73732} +{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 18297, "data_time": 0.00876, "decode.loss_seg": 0.59286, "decode.acc_seg": 63.08331, "aux.loss_seg": 0.2693, "aux.acc_seg": 61.40356, "loss": 0.86216, "time": 0.74247} +{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.56902, "decode.acc_seg": 63.02013, "aux.loss_seg": 0.26078, "aux.acc_seg": 61.54866, "loss": 0.8298, "time": 0.73994} +{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 18297, "data_time": 0.00791, "decode.loss_seg": 0.53073, "decode.acc_seg": 65.98286, "aux.loss_seg": 0.24463, "aux.acc_seg": 64.43412, "loss": 0.77536, "time": 0.73381} +{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 18297, "data_time": 0.00819, "decode.loss_seg": 0.58922, "decode.acc_seg": 63.84363, "aux.loss_seg": 0.26436, "aux.acc_seg": 62.73577, "loss": 0.85359, "time": 0.73328} +{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 18297, "data_time": 0.00826, "decode.loss_seg": 0.61148, "decode.acc_seg": 62.83017, "aux.loss_seg": 0.27723, "aux.acc_seg": 61.30601, "loss": 0.88871, "time": 0.74706} +{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.58051, "decode.acc_seg": 65.03078, "aux.loss_seg": 0.26406, "aux.acc_seg": 63.51358, "loss": 0.84457, "time": 0.73909} +{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 18297, "data_time": 0.00856, "decode.loss_seg": 0.5992, "decode.acc_seg": 62.78959, "aux.loss_seg": 0.2676, "aux.acc_seg": 61.607, "loss": 0.8668, "time": 0.74291} +{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.59083, "decode.acc_seg": 63.59344, "aux.loss_seg": 0.26817, "aux.acc_seg": 61.83704, "loss": 0.859, "time": 0.73777} +{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 0.55557, "decode.acc_seg": 63.37213, "aux.loss_seg": 0.25222, "aux.acc_seg": 62.14825, "loss": 0.80779, "time": 0.73745} +{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.59594, "decode.acc_seg": 63.15832, "aux.loss_seg": 0.26785, "aux.acc_seg": 61.74542, "loss": 0.86379, "time": 0.7405} +{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 18297, "data_time": 0.00901, "decode.loss_seg": 0.53801, "decode.acc_seg": 62.82811, "aux.loss_seg": 0.24333, "aux.acc_seg": 61.61952, "loss": 0.78134, "time": 0.74109} +{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.54259, "decode.acc_seg": 64.44722, "aux.loss_seg": 0.2505, "aux.acc_seg": 62.806, "loss": 0.79309, "time": 0.74207} +{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.55927, "decode.acc_seg": 63.56064, "aux.loss_seg": 0.25196, "aux.acc_seg": 62.18883, "loss": 0.81123, "time": 0.73844} +{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.58058, "decode.acc_seg": 63.61275, "aux.loss_seg": 0.25926, "aux.acc_seg": 62.54903, "loss": 0.83983, "time": 0.73825} +{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 18297, "data_time": 0.00856, "decode.loss_seg": 0.58537, "decode.acc_seg": 62.60991, "aux.loss_seg": 0.25895, "aux.acc_seg": 61.40174, "loss": 0.84431, "time": 0.73203} +{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 18297, "data_time": 0.00819, "decode.loss_seg": 0.57463, "decode.acc_seg": 62.35228, "aux.loss_seg": 0.2565, "aux.acc_seg": 61.03726, "loss": 0.83113, "time": 0.73238} +{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 18297, "data_time": 0.00868, "decode.loss_seg": 0.59596, "decode.acc_seg": 62.82041, "aux.loss_seg": 0.26685, "aux.acc_seg": 61.62495, "loss": 0.86281, "time": 0.74981} +{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 18297, "data_time": 0.24274, "decode.loss_seg": 0.55026, "decode.acc_seg": 63.37709, "aux.loss_seg": 0.25023, "aux.acc_seg": 61.88692, "loss": 0.80049, "time": 0.98215} +{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 18297, "data_time": 0.00942, "decode.loss_seg": 0.54078, "decode.acc_seg": 64.03892, "aux.loss_seg": 0.24538, "aux.acc_seg": 62.80402, "loss": 0.78616, "time": 0.74618} +{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 18297, "data_time": 0.00891, "decode.loss_seg": 0.52546, "decode.acc_seg": 63.37193, "aux.loss_seg": 0.24102, "aux.acc_seg": 61.73974, "loss": 0.76648, "time": 0.7397} +{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 18297, "data_time": 0.00922, "decode.loss_seg": 0.53067, "decode.acc_seg": 65.22289, "aux.loss_seg": 0.24491, "aux.acc_seg": 63.57893, "loss": 0.77559, "time": 0.74085} +{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 18297, "data_time": 0.00914, "decode.loss_seg": 0.53169, "decode.acc_seg": 63.25418, "aux.loss_seg": 0.24784, "aux.acc_seg": 61.52079, "loss": 0.77953, "time": 0.74574} +{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 18297, "data_time": 0.00867, "decode.loss_seg": 0.57564, "decode.acc_seg": 64.38757, "aux.loss_seg": 0.26186, "aux.acc_seg": 63.06598, "loss": 0.8375, "time": 0.74849} +{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 0.53658, "decode.acc_seg": 63.09495, "aux.loss_seg": 0.24348, "aux.acc_seg": 61.64401, "loss": 0.78007, "time": 0.74244} +{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 18297, "data_time": 0.00902, "decode.loss_seg": 0.56013, "decode.acc_seg": 64.18075, "aux.loss_seg": 0.25225, "aux.acc_seg": 62.9378, "loss": 0.81238, "time": 0.74911} +{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 18297, "data_time": 0.00857, "decode.loss_seg": 0.53581, "decode.acc_seg": 63.89674, "aux.loss_seg": 0.24545, "aux.acc_seg": 62.17474, "loss": 0.78126, "time": 0.7428} +{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 18297, "data_time": 0.00891, "decode.loss_seg": 0.53623, "decode.acc_seg": 63.63204, "aux.loss_seg": 0.24271, "aux.acc_seg": 62.13006, "loss": 0.77894, "time": 0.74263} +{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 18297, "data_time": 0.00866, "decode.loss_seg": 0.5702, "decode.acc_seg": 64.34311, "aux.loss_seg": 0.25759, "aux.acc_seg": 62.99094, "loss": 0.82779, "time": 0.73394} +{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 18297, "data_time": 0.00881, "decode.loss_seg": 0.5472, "decode.acc_seg": 66.75069, "aux.loss_seg": 0.2472, "aux.acc_seg": 65.44473, "loss": 0.79441, "time": 0.72867} +{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 18297, "data_time": 0.00877, "decode.loss_seg": 0.55285, "decode.acc_seg": 62.70353, "aux.loss_seg": 0.24942, "aux.acc_seg": 61.24467, "loss": 0.80226, "time": 0.73815} +{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 18297, "data_time": 0.00881, "decode.loss_seg": 0.53178, "decode.acc_seg": 63.36367, "aux.loss_seg": 0.23848, "aux.acc_seg": 62.26822, "loss": 0.77026, "time": 0.74243} +{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 18297, "data_time": 0.00903, "decode.loss_seg": 0.52642, "decode.acc_seg": 63.55324, "aux.loss_seg": 0.24065, "aux.acc_seg": 62.258, "loss": 0.76707, "time": 0.73984} +{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 18297, "data_time": 0.00892, "decode.loss_seg": 0.54536, "decode.acc_seg": 63.93813, "aux.loss_seg": 0.24741, "aux.acc_seg": 62.44543, "loss": 0.79277, "time": 0.74151} +{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 18297, "data_time": 0.009, "decode.loss_seg": 0.53477, "decode.acc_seg": 63.51293, "aux.loss_seg": 0.24086, "aux.acc_seg": 62.25505, "loss": 0.77562, "time": 0.74139} +{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 18297, "data_time": 0.00893, "decode.loss_seg": 0.53772, "decode.acc_seg": 64.08634, "aux.loss_seg": 0.24378, "aux.acc_seg": 62.8393, "loss": 0.78151, "time": 0.74282} +{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 18297, "data_time": 0.00876, "decode.loss_seg": 0.53819, "decode.acc_seg": 65.65221, "aux.loss_seg": 0.24038, "aux.acc_seg": 64.30642, "loss": 0.77857, "time": 0.74057} +{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 18297, "data_time": 0.00868, "decode.loss_seg": 0.55962, "decode.acc_seg": 64.69628, "aux.loss_seg": 0.25405, "aux.acc_seg": 63.21425, "loss": 0.81367, "time": 0.73119} +{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 18297, "data_time": 0.0087, "decode.loss_seg": 0.56815, "decode.acc_seg": 63.00472, "aux.loss_seg": 0.25354, "aux.acc_seg": 61.97919, "loss": 0.8217, "time": 0.73415} +{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 18297, "data_time": 0.00906, "decode.loss_seg": 0.56354, "decode.acc_seg": 64.17168, "aux.loss_seg": 0.25398, "aux.acc_seg": 62.57958, "loss": 0.81752, "time": 0.74187} +{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 18297, "data_time": 0.00868, "decode.loss_seg": 0.57895, "decode.acc_seg": 63.85082, "aux.loss_seg": 0.2629, "aux.acc_seg": 62.35444, "loss": 0.84185, "time": 0.73957} +{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 18297, "data_time": 0.00882, "decode.loss_seg": 0.57198, "decode.acc_seg": 64.60147, "aux.loss_seg": 0.25416, "aux.acc_seg": 63.53045, "loss": 0.82614, "time": 0.74263} +{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 0.55356, "decode.acc_seg": 64.11044, "aux.loss_seg": 0.25258, "aux.acc_seg": 62.73261, "loss": 0.80614, "time": 0.74103} +{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 18297, "data_time": 0.24012, "decode.loss_seg": 0.55898, "decode.acc_seg": 63.09724, "aux.loss_seg": 0.2495, "aux.acc_seg": 61.85504, "loss": 0.80848, "time": 0.97691} +{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.55318, "decode.acc_seg": 64.94403, "aux.loss_seg": 0.25291, "aux.acc_seg": 63.41919, "loss": 0.80609, "time": 0.74452} +{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.50142, "decode.acc_seg": 64.66886, "aux.loss_seg": 0.22811, "aux.acc_seg": 63.18429, "loss": 0.72953, "time": 0.73794} +{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 18297, "data_time": 0.00792, "decode.loss_seg": 0.54268, "decode.acc_seg": 64.21731, "aux.loss_seg": 0.24917, "aux.acc_seg": 62.70452, "loss": 0.79185, "time": 0.73767} +{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 18297, "data_time": 0.00845, "decode.loss_seg": 0.51122, "decode.acc_seg": 64.30957, "aux.loss_seg": 0.23404, "aux.acc_seg": 62.86665, "loss": 0.74526, "time": 0.73867} +{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 0.53735, "decode.acc_seg": 64.91916, "aux.loss_seg": 0.24832, "aux.acc_seg": 63.18487, "loss": 0.78567, "time": 0.74299} +{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.53606, "decode.acc_seg": 64.65295, "aux.loss_seg": 0.24892, "aux.acc_seg": 62.8576, "loss": 0.78498, "time": 0.74077} +{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 18297, "data_time": 0.00822, "decode.loss_seg": 0.53791, "decode.acc_seg": 64.94936, "aux.loss_seg": 0.24283, "aux.acc_seg": 63.4807, "loss": 0.78074, "time": 0.73456} +{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.55056, "decode.acc_seg": 64.51478, "aux.loss_seg": 0.25002, "aux.acc_seg": 63.24499, "loss": 0.80058, "time": 0.72882} +{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.52859, "decode.acc_seg": 64.56038, "aux.loss_seg": 0.24293, "aux.acc_seg": 63.12941, "loss": 0.77152, "time": 0.73224} +{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 18297, "data_time": 0.00813, "decode.loss_seg": 0.5309, "decode.acc_seg": 63.46101, "aux.loss_seg": 0.23903, "aux.acc_seg": 62.34528, "loss": 0.76994, "time": 0.73727} +{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 0.55495, "decode.acc_seg": 64.14053, "aux.loss_seg": 0.2526, "aux.acc_seg": 62.55964, "loss": 0.80755, "time": 0.74043} +{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.57086, "decode.acc_seg": 64.94882, "aux.loss_seg": 0.25639, "aux.acc_seg": 63.5088, "loss": 0.82724, "time": 0.73929} +{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 18297, "data_time": 0.00782, "decode.loss_seg": 0.5079, "decode.acc_seg": 64.09213, "aux.loss_seg": 0.23064, "aux.acc_seg": 62.83107, "loss": 0.73855, "time": 0.73821} +{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.54347, "decode.acc_seg": 64.56586, "aux.loss_seg": 0.24701, "aux.acc_seg": 63.13515, "loss": 0.79048, "time": 0.74141} +{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.53032, "decode.acc_seg": 64.68514, "aux.loss_seg": 0.24109, "aux.acc_seg": 63.37776, "loss": 0.77142, "time": 0.74192} +{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.52898, "decode.acc_seg": 64.52488, "aux.loss_seg": 0.24034, "aux.acc_seg": 63.02032, "loss": 0.76932, "time": 0.73791} +{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.51656, "decode.acc_seg": 65.27554, "aux.loss_seg": 0.2377, "aux.acc_seg": 63.82851, "loss": 0.75426, "time": 0.73987} +{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.55925, "decode.acc_seg": 64.35368, "aux.loss_seg": 0.25182, "aux.acc_seg": 62.90636, "loss": 0.81107, "time": 0.73929} +{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.55294, "decode.acc_seg": 65.27641, "aux.loss_seg": 0.24586, "aux.acc_seg": 64.25091, "loss": 0.79881, "time": 0.73993} +{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.5218, "decode.acc_seg": 64.92458, "aux.loss_seg": 0.2395, "aux.acc_seg": 63.58233, "loss": 0.7613, "time": 0.73639} +{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.5078, "decode.acc_seg": 64.68159, "aux.loss_seg": 0.23004, "aux.acc_seg": 63.41192, "loss": 0.73784, "time": 0.73557} +{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 18297, "data_time": 0.00804, "decode.loss_seg": 0.52385, "decode.acc_seg": 64.02232, "aux.loss_seg": 0.23579, "aux.acc_seg": 62.8429, "loss": 0.75964, "time": 0.73354} +{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 18297, "data_time": 0.00813, "decode.loss_seg": 0.55211, "decode.acc_seg": 65.6446, "aux.loss_seg": 0.25025, "aux.acc_seg": 64.28153, "loss": 0.80236, "time": 0.73771} +{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 0.54415, "decode.acc_seg": 63.97968, "aux.loss_seg": 0.24359, "aux.acc_seg": 62.55934, "loss": 0.78774, "time": 0.73908} +{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 18297, "data_time": 0.0085, "decode.loss_seg": 0.54222, "decode.acc_seg": 63.59624, "aux.loss_seg": 0.24545, "aux.acc_seg": 62.22394, "loss": 0.78767, "time": 0.74251} +{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 18297, "data_time": 0.24413, "decode.loss_seg": 0.5335, "decode.acc_seg": 64.68996, "aux.loss_seg": 0.24052, "aux.acc_seg": 63.50072, "loss": 0.77401, "time": 0.97473} +{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.49688, "decode.acc_seg": 64.68576, "aux.loss_seg": 0.22704, "aux.acc_seg": 63.33308, "loss": 0.72392, "time": 0.74052} +{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 18297, "data_time": 0.00895, "decode.loss_seg": 0.55457, "decode.acc_seg": 66.44977, "aux.loss_seg": 0.25059, "aux.acc_seg": 65.08103, "loss": 0.80516, "time": 0.74335} +{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 18297, "data_time": 0.00826, "decode.loss_seg": 0.49579, "decode.acc_seg": 64.50793, "aux.loss_seg": 0.22733, "aux.acc_seg": 63.16483, "loss": 0.72312, "time": 0.74052} +{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.51391, "decode.acc_seg": 63.59108, "aux.loss_seg": 0.23404, "aux.acc_seg": 62.26165, "loss": 0.74795, "time": 0.73985} +{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.52562, "decode.acc_seg": 66.06086, "aux.loss_seg": 0.24041, "aux.acc_seg": 64.58342, "loss": 0.76603, "time": 0.73869} +{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 0.50064, "decode.acc_seg": 64.37736, "aux.loss_seg": 0.22696, "aux.acc_seg": 62.80355, "loss": 0.7276, "time": 0.74044} +{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 18297, "data_time": 0.009, "decode.loss_seg": 0.53802, "decode.acc_seg": 64.74999, "aux.loss_seg": 0.24255, "aux.acc_seg": 63.61446, "loss": 0.78056, "time": 0.74054} +{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 18297, "data_time": 0.00913, "decode.loss_seg": 0.5286, "decode.acc_seg": 65.28643, "aux.loss_seg": 0.24016, "aux.acc_seg": 64.00053, "loss": 0.76876, "time": 0.74518} +{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 0.49497, "decode.acc_seg": 64.38312, "aux.loss_seg": 0.22928, "aux.acc_seg": 62.62197, "loss": 0.72425, "time": 0.74198} +{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 18297, "data_time": 0.00859, "decode.loss_seg": 0.52748, "decode.acc_seg": 64.44328, "aux.loss_seg": 0.23865, "aux.acc_seg": 63.06568, "loss": 0.76613, "time": 0.74106} +{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 18297, "data_time": 0.00836, "decode.loss_seg": 0.48984, "decode.acc_seg": 65.2731, "aux.loss_seg": 0.22492, "aux.acc_seg": 63.67351, "loss": 0.71476, "time": 0.74387} +{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.54324, "decode.acc_seg": 64.5993, "aux.loss_seg": 0.24766, "aux.acc_seg": 63.16469, "loss": 0.79089, "time": 0.74524} +{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 18297, "data_time": 0.00811, "decode.loss_seg": 0.50931, "decode.acc_seg": 64.38222, "aux.loss_seg": 0.23067, "aux.acc_seg": 62.97762, "loss": 0.73997, "time": 0.74039} +{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 18297, "data_time": 0.00822, "decode.loss_seg": 0.52768, "decode.acc_seg": 64.47899, "aux.loss_seg": 0.24438, "aux.acc_seg": 62.89487, "loss": 0.77206, "time": 0.73775} +{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 18297, "data_time": 0.00805, "decode.loss_seg": 0.5128, "decode.acc_seg": 64.75431, "aux.loss_seg": 0.23436, "aux.acc_seg": 63.44582, "loss": 0.74716, "time": 0.73874} +{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.4008, "mAcc": 0.5318, "aAcc": 0.7918, "IoU.wall": 0.7208, "IoU.building": 0.801, "IoU.sky": 0.9359, "IoU.floor": 0.7756, "IoU.tree": 0.721, "IoU.ceiling": 0.8114, "IoU.road": 0.7749, "IoU.bed ": 0.8213, "IoU.windowpane": 0.5663, "IoU.grass": 0.6286, "IoU.cabinet": 0.5461, "IoU.sidewalk": 0.5639, "IoU.person": 0.7433, "IoU.earth": 0.3426, "IoU.door": 0.3581, "IoU.table": 0.4743, "IoU.mountain": 0.4771, "IoU.plant": 0.4926, "IoU.curtain": 0.6703, "IoU.chair": 0.4687, "IoU.car": 0.7858, "IoU.water": 0.5016, "IoU.painting": 0.5995, "IoU.sofa": 0.5373, "IoU.shelf": 0.4256, "IoU.house": 0.4553, "IoU.sea": 0.5238, "IoU.mirror": 0.4919, "IoU.rug": 0.6309, "IoU.field": 0.2831, "IoU.armchair": 0.261, "IoU.seat": 0.6313, "IoU.fence": 0.3585, "IoU.desk": 0.3827, "IoU.rock": 0.2504, "IoU.wardrobe": 0.4244, "IoU.lamp": 0.4982, "IoU.bathtub": 0.6084, "IoU.railing": 0.3149, "IoU.cushion": 0.4548, "IoU.base": 0.1162, "IoU.box": 0.158, "IoU.column": 0.415, "IoU.signboard": 0.3314, "IoU.chest of drawers": 0.3743, "IoU.counter": 0.2686, "IoU.sand": 0.3252, "IoU.sink": 0.5651, "IoU.skyscraper": 0.5233, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5998, "IoU.grandstand": 0.2986, "IoU.path": 0.1295, "IoU.stairs": 0.2919, "IoU.runway": 0.7293, "IoU.case": 0.5095, "IoU.pool table": 0.8863, "IoU.pillow": 0.4874, "IoU.screen door": 0.4566, "IoU.stairway": 0.3589, "IoU.river": 0.1282, "IoU.bridge": 0.3029, "IoU.bookcase": 0.3223, "IoU.blind": NaN, "IoU.coffee table": 0.4086, "IoU.toilet": 0.7152, "IoU.flower": 0.3441, "IoU.book": 0.4291, "IoU.hill": 0.0382, "IoU.bench": 0.414, "IoU.countertop": 0.4781, "IoU.stove": 0.5344, "IoU.palm": 0.468, "IoU.kitchen island": 0.2382, "IoU.computer": 0.6046, "IoU.swivel chair": 0.3634, "IoU.boat": 0.4122, "IoU.bar": 0.4448, "IoU.arcade machine": 0.7812, "IoU.hovel": 0.0716, "IoU.bus": 0.7904, "IoU.towel": 0.5286, "IoU.light": 0.3191, "IoU.truck": 0.1182, "IoU.tower": 0.3406, "IoU.chandelier": 0.5798, "IoU.awning": 0.2222, "IoU.streetlight": 0.144, "IoU.booth": 0.4334, "IoU.television receiver": NaN, "IoU.airplane": 0.5216, "IoU.dirt track": 0.0696, "IoU.apparel": 0.2497, "IoU.pole": 0.1354, "IoU.land": 0.0, "IoU.bannister": 0.0718, "IoU.escalator": 0.3418, "IoU.ottoman": 0.2489, "IoU.bottle": NaN, "IoU.buffet": 0.396, "IoU.poster": 0.0238, "IoU.stage": 0.0871, "IoU.van": 0.2471, "IoU.ship": 0.5209, "IoU.fountain": 0.1989, "IoU.conveyer belt": 0.4066, "IoU.canopy": 0.2878, "IoU.washer": 0.6571, "IoU.plaything": 0.1646, "IoU.swimming pool": 0.6023, "IoU.stool": 0.1716, "IoU.barrel": 0.2727, "IoU.basket": 0.2441, "IoU.waterfall": 0.7622, "IoU.tent": 0.5947, "IoU.bag": 0.052, "IoU.minibike": 0.5734, "IoU.cradle": NaN, "IoU.oven": 0.0621, "IoU.ball": 0.3628, "IoU.food": 0.4522, "IoU.step": 0.0013, "IoU.tank": 0.4636, "IoU.trade name": 0.225, "IoU.microwave": 0.6733, "IoU.pot": 0.4418, "IoU.animal": NaN, "IoU.bicycle": 0.4691, "IoU.lake": 0.0515, "IoU.dishwasher": 0.2517, "IoU.screen": 0.542, "IoU.blanket": 0.0, "IoU.sculpture": 0.4265, "IoU.hood": 0.2284, "IoU.sconce": 0.1749, "IoU.vase": 0.2398, "IoU.traffic light": 0.176, "IoU.tray": 0.0087, "IoU.ashcan": 0.2935, "IoU.fan": 0.4362, "IoU.pier": 0.5811, "IoU.crt screen": 0.0939, "IoU.plate": 0.4949, "IoU.monitor": 0.373, "IoU.bulletin board": 0.1931, "IoU.shower": 0.0, "IoU.radiator": 0.4883, "IoU.glass": 0.0853, "IoU.clock": 0.2686, "IoU.flag": 0.3374, "Acc.wall": 0.8301, "Acc.building": 0.9073, "Acc.sky": 0.9697, "Acc.floor": 0.8741, "Acc.tree": 0.8725, "Acc.ceiling": 0.9142, "Acc.road": 0.8917, "Acc.bed ": 0.9409, "Acc.windowpane": 0.7759, "Acc.grass": 0.7206, "Acc.cabinet": 0.6592, "Acc.sidewalk": 0.7722, "Acc.person": 0.876, "Acc.earth": 0.4621, "Acc.door": 0.5131, "Acc.table": 0.6471, "Acc.mountain": 0.7556, "Acc.plant": 0.5933, "Acc.curtain": 0.7879, "Acc.chair": 0.6355, "Acc.car": 0.8953, "Acc.water": 0.6501, "Acc.painting": 0.844, "Acc.sofa": 0.732, "Acc.shelf": 0.7012, "Acc.house": 0.6334, "Acc.sea": 0.698, "Acc.mirror": 0.6607, "Acc.rug": 0.7293, "Acc.field": 0.5797, "Acc.armchair": 0.3923, "Acc.seat": 0.8491, "Acc.fence": 0.4787, "Acc.desk": 0.6, "Acc.rock": 0.4425, "Acc.wardrobe": 0.4995, "Acc.lamp": 0.6019, "Acc.bathtub": 0.7897, "Acc.railing": 0.3667, "Acc.cushion": 0.6515, "Acc.base": 0.1494, "Acc.box": 0.1846, "Acc.column": 0.5835, "Acc.signboard": 0.4792, "Acc.chest of drawers": 0.4516, "Acc.counter": 0.3898, "Acc.sand": 0.4569, "Acc.sink": 0.7273, "Acc.skyscraper": 0.7556, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7771, "Acc.grandstand": 0.7179, "Acc.path": 0.1594, "Acc.stairs": 0.3258, "Acc.runway": 0.8538, "Acc.case": 0.7099, "Acc.pool table": 0.9412, "Acc.pillow": 0.633, "Acc.screen door": 0.811, "Acc.stairway": 0.435, "Acc.river": 0.2079, "Acc.bridge": 0.3738, "Acc.bookcase": 0.3762, "Acc.blind": NaN, "Acc.coffee table": 0.7861, "Acc.toilet": 0.8397, "Acc.flower": 0.5971, "Acc.book": 0.5912, "Acc.hill": 0.062, "Acc.bench": 0.5208, "Acc.countertop": 0.8308, "Acc.stove": 0.7755, "Acc.palm": 0.6647, "Acc.kitchen island": 0.5187, "Acc.computer": 0.744, "Acc.swivel chair": 0.5305, "Acc.boat": 0.4832, "Acc.bar": 0.5938, "Acc.arcade machine": 0.9462, "Acc.hovel": 0.0746, "Acc.bus": 0.9446, "Acc.towel": 0.664, "Acc.light": 0.3484, "Acc.truck": 0.1966, "Acc.tower": 0.5643, "Acc.chandelier": 0.7787, "Acc.awning": 0.2499, "Acc.streetlight": 0.1937, "Acc.booth": 0.5929, "Acc.television receiver": NaN, "Acc.airplane": 0.6368, "Acc.dirt track": 0.1581, "Acc.apparel": 0.3957, "Acc.pole": 0.1901, "Acc.land": 0.0, "Acc.bannister": 0.0911, "Acc.escalator": 0.5737, "Acc.ottoman": 0.3074, "Acc.bottle": NaN, "Acc.buffet": 0.4429, "Acc.poster": 0.0292, "Acc.stage": 0.1446, "Acc.van": 0.2979, "Acc.ship": 0.7876, "Acc.fountain": 0.2012, "Acc.conveyer belt": 0.938, "Acc.canopy": 0.4713, "Acc.washer": 0.7507, "Acc.plaything": 0.2592, "Acc.swimming pool": 0.8453, "Acc.stool": 0.193, "Acc.barrel": 0.6512, "Acc.basket": 0.3272, "Acc.waterfall": 0.9199, "Acc.tent": 0.9935, "Acc.bag": 0.055, "Acc.minibike": 0.7437, "Acc.cradle": NaN, "Acc.oven": 0.0826, "Acc.ball": 0.3885, "Acc.food": 0.5507, "Acc.step": 0.0014, "Acc.tank": 0.5597, "Acc.trade name": 0.2533, "Acc.microwave": 0.7645, "Acc.pot": 0.4845, "Acc.animal": NaN, "Acc.bicycle": 0.7342, "Acc.lake": 0.0949, "Acc.dishwasher": 0.3521, "Acc.screen": 0.8126, "Acc.blanket": 0.0, "Acc.sculpture": 0.4477, "Acc.hood": 0.2575, "Acc.sconce": 0.1958, "Acc.vase": 0.382, "Acc.traffic light": 0.25, "Acc.tray": 0.0092, "Acc.ashcan": 0.3794, "Acc.fan": 0.5212, "Acc.pier": 0.8038, "Acc.crt screen": 0.1131, "Acc.plate": 0.71, "Acc.monitor": 0.6114, "Acc.bulletin board": 0.206, "Acc.shower": 0.0, "Acc.radiator": 0.6009, "Acc.glass": 0.0917, "Acc.clock": 0.303, "Acc.flag": 0.4266} +{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 26851, "data_time": 6.70668, "decode.loss_seg": 0.52919, "decode.acc_seg": 64.77618, "aux.loss_seg": 0.2407, "aux.acc_seg": 63.22532, "loss": 0.76989, "time": 7.43394} +{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.50741, "decode.acc_seg": 63.49754, "aux.loss_seg": 0.22983, "aux.acc_seg": 62.33587, "loss": 0.73724, "time": 0.73603} +{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.52624, "decode.acc_seg": 65.2532, "aux.loss_seg": 0.24024, "aux.acc_seg": 63.65, "loss": 0.76649, "time": 0.7355} +{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.49985, "decode.acc_seg": 65.27435, "aux.loss_seg": 0.23041, "aux.acc_seg": 63.66561, "loss": 0.73026, "time": 0.73724} +{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.4771, "decode.acc_seg": 65.68711, "aux.loss_seg": 0.21906, "aux.acc_seg": 64.19083, "loss": 0.69615, "time": 0.74304} +{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 26851, "data_time": 0.0074, "decode.loss_seg": 0.51538, "decode.acc_seg": 64.77526, "aux.loss_seg": 0.23121, "aux.acc_seg": 63.74993, "loss": 0.74659, "time": 0.73863} +{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 26851, "data_time": 0.00719, "decode.loss_seg": 0.50897, "decode.acc_seg": 64.37596, "aux.loss_seg": 0.23226, "aux.acc_seg": 62.93018, "loss": 0.74123, "time": 0.74098} +{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.53915, "decode.acc_seg": 64.99775, "aux.loss_seg": 0.2442, "aux.acc_seg": 63.72923, "loss": 0.78335, "time": 0.73764} +{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 26851, "data_time": 0.24339, "decode.loss_seg": 0.54111, "decode.acc_seg": 63.78792, "aux.loss_seg": 0.24854, "aux.acc_seg": 62.06163, "loss": 0.78966, "time": 0.97644} +{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.49777, "decode.acc_seg": 64.94857, "aux.loss_seg": 0.22952, "aux.acc_seg": 63.44373, "loss": 0.72728, "time": 0.73825} +{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.48959, "decode.acc_seg": 64.0282, "aux.loss_seg": 0.22525, "aux.acc_seg": 62.42193, "loss": 0.71484, "time": 0.74252} +{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.50919, "decode.acc_seg": 65.81888, "aux.loss_seg": 0.23283, "aux.acc_seg": 64.2133, "loss": 0.74202, "time": 0.74396} +{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.50399, "decode.acc_seg": 65.59687, "aux.loss_seg": 0.2296, "aux.acc_seg": 64.18175, "loss": 0.73359, "time": 0.7439} +{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.51095, "decode.acc_seg": 64.60905, "aux.loss_seg": 0.23137, "aux.acc_seg": 63.25429, "loss": 0.74232, "time": 0.74093} +{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.51362, "decode.acc_seg": 66.35922, "aux.loss_seg": 0.23605, "aux.acc_seg": 64.70916, "loss": 0.74967, "time": 0.73301} +{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.54138, "decode.acc_seg": 64.42358, "aux.loss_seg": 0.24274, "aux.acc_seg": 63.34324, "loss": 0.78412, "time": 0.7394} +{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.50294, "decode.acc_seg": 65.53112, "aux.loss_seg": 0.23075, "aux.acc_seg": 63.88283, "loss": 0.73369, "time": 0.73406} +{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.51487, "decode.acc_seg": 64.02802, "aux.loss_seg": 0.23638, "aux.acc_seg": 62.51894, "loss": 0.75125, "time": 0.73509} +{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.51814, "decode.acc_seg": 64.94729, "aux.loss_seg": 0.23721, "aux.acc_seg": 63.57427, "loss": 0.75534, "time": 0.73714} +{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.51723, "decode.acc_seg": 65.34368, "aux.loss_seg": 0.23461, "aux.acc_seg": 63.97498, "loss": 0.75185, "time": 0.73549} +{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.49263, "decode.acc_seg": 64.3096, "aux.loss_seg": 0.22576, "aux.acc_seg": 62.78016, "loss": 0.71838, "time": 0.73912} +{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.50244, "decode.acc_seg": 64.50097, "aux.loss_seg": 0.23184, "aux.acc_seg": 62.89278, "loss": 0.73428, "time": 0.73444} +{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.52026, "decode.acc_seg": 65.56343, "aux.loss_seg": 0.2381, "aux.acc_seg": 64.24244, "loss": 0.75836, "time": 0.7363} +{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.49583, "decode.acc_seg": 65.34841, "aux.loss_seg": 0.22572, "aux.acc_seg": 63.94269, "loss": 0.72155, "time": 0.73082} +{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.4935, "decode.acc_seg": 66.19026, "aux.loss_seg": 0.22363, "aux.acc_seg": 64.72311, "loss": 0.71714, "time": 0.72945} +{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.49678, "decode.acc_seg": 67.13791, "aux.loss_seg": 0.22678, "aux.acc_seg": 65.85569, "loss": 0.72356, "time": 0.7368} +{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.47608, "decode.acc_seg": 65.16947, "aux.loss_seg": 0.21887, "aux.acc_seg": 63.68972, "loss": 0.69494, "time": 0.74114} +{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.50322, "decode.acc_seg": 64.92127, "aux.loss_seg": 0.23122, "aux.acc_seg": 63.47314, "loss": 0.73444, "time": 0.73842} +{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 26851, "data_time": 0.0092, "decode.loss_seg": 0.47998, "decode.acc_seg": 65.34884, "aux.loss_seg": 0.22111, "aux.acc_seg": 63.75894, "loss": 0.70109, "time": 0.73405} +{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.49719, "decode.acc_seg": 66.29078, "aux.loss_seg": 0.22777, "aux.acc_seg": 64.81854, "loss": 0.72497, "time": 0.73268} +{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.49469, "decode.acc_seg": 65.12252, "aux.loss_seg": 0.22555, "aux.acc_seg": 63.6515, "loss": 0.72024, "time": 0.73084} +{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.50115, "decode.acc_seg": 65.82713, "aux.loss_seg": 0.23, "aux.acc_seg": 64.39236, "loss": 0.73115, "time": 0.74211} +{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.51715, "decode.acc_seg": 65.60671, "aux.loss_seg": 0.23701, "aux.acc_seg": 64.11682, "loss": 0.75416, "time": 0.74137} +{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 26851, "data_time": 0.24253, "decode.loss_seg": 0.50832, "decode.acc_seg": 65.90168, "aux.loss_seg": 0.22994, "aux.acc_seg": 64.44611, "loss": 0.73826, "time": 0.97269} +{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.4759, "decode.acc_seg": 64.92456, "aux.loss_seg": 0.21905, "aux.acc_seg": 63.31303, "loss": 0.69494, "time": 0.72869} +{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.47704, "decode.acc_seg": 64.01834, "aux.loss_seg": 0.21744, "aux.acc_seg": 62.83589, "loss": 0.69447, "time": 0.73105} +{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.4732, "decode.acc_seg": 67.00173, "aux.loss_seg": 0.21946, "aux.acc_seg": 65.38178, "loss": 0.69266, "time": 0.73183} +{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.49845, "decode.acc_seg": 66.15979, "aux.loss_seg": 0.22802, "aux.acc_seg": 64.59194, "loss": 0.72647, "time": 0.73973} +{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.48951, "decode.acc_seg": 64.9726, "aux.loss_seg": 0.22408, "aux.acc_seg": 63.6127, "loss": 0.71358, "time": 0.73901} +{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.49355, "decode.acc_seg": 66.27368, "aux.loss_seg": 0.22616, "aux.acc_seg": 64.59657, "loss": 0.71971, "time": 0.7379} +{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.49323, "decode.acc_seg": 66.07885, "aux.loss_seg": 0.22331, "aux.acc_seg": 64.88775, "loss": 0.71654, "time": 0.74338} +{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.4802, "decode.acc_seg": 66.17989, "aux.loss_seg": 0.22294, "aux.acc_seg": 64.43704, "loss": 0.70315, "time": 0.7382} +{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.48803, "decode.acc_seg": 65.37247, "aux.loss_seg": 0.22279, "aux.acc_seg": 63.89643, "loss": 0.71081, "time": 0.74012} +{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.48711, "decode.acc_seg": 66.30571, "aux.loss_seg": 0.22221, "aux.acc_seg": 65.06281, "loss": 0.70932, "time": 0.73225} +{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.49221, "decode.acc_seg": 65.70069, "aux.loss_seg": 0.22719, "aux.acc_seg": 64.23067, "loss": 0.7194, "time": 0.72797} +{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.46521, "decode.acc_seg": 65.80001, "aux.loss_seg": 0.21388, "aux.acc_seg": 64.19047, "loss": 0.67909, "time": 0.73166} +{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.47637, "decode.acc_seg": 66.33247, "aux.loss_seg": 0.21664, "aux.acc_seg": 64.79492, "loss": 0.69301, "time": 0.73348} +{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.49798, "decode.acc_seg": 65.77736, "aux.loss_seg": 0.22694, "aux.acc_seg": 64.34717, "loss": 0.72492, "time": 0.73468} +{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.46447, "decode.acc_seg": 66.53197, "aux.loss_seg": 0.21343, "aux.acc_seg": 65.29754, "loss": 0.6779, "time": 0.73537} +{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.50286, "decode.acc_seg": 65.44759, "aux.loss_seg": 0.22762, "aux.acc_seg": 64.17616, "loss": 0.73048, "time": 0.73982} +{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.49674, "decode.acc_seg": 65.36589, "aux.loss_seg": 0.22689, "aux.acc_seg": 64.11973, "loss": 0.72364, "time": 0.73634} +{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.50193, "decode.acc_seg": 65.76236, "aux.loss_seg": 0.22909, "aux.acc_seg": 64.44865, "loss": 0.73101, "time": 0.73296} +{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.48991, "decode.acc_seg": 65.33005, "aux.loss_seg": 0.22511, "aux.acc_seg": 63.99667, "loss": 0.71502, "time": 0.73037} +{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.50495, "decode.acc_seg": 65.40727, "aux.loss_seg": 0.22866, "aux.acc_seg": 63.65167, "loss": 0.73361, "time": 0.72787} +{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.51396, "decode.acc_seg": 64.77938, "aux.loss_seg": 0.23465, "aux.acc_seg": 63.23104, "loss": 0.74862, "time": 0.732} +{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.47957, "decode.acc_seg": 65.07843, "aux.loss_seg": 0.21849, "aux.acc_seg": 63.84607, "loss": 0.69806, "time": 0.73496} +{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.52854, "decode.acc_seg": 64.93896, "aux.loss_seg": 0.2382, "aux.acc_seg": 63.70337, "loss": 0.76674, "time": 0.73814} +{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.50137, "decode.acc_seg": 66.65815, "aux.loss_seg": 0.22854, "aux.acc_seg": 65.28352, "loss": 0.72991, "time": 0.73682} +{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 26851, "data_time": 0.25108, "decode.loss_seg": 0.50115, "decode.acc_seg": 66.67314, "aux.loss_seg": 0.23268, "aux.acc_seg": 65.02357, "loss": 0.73382, "time": 0.97399} +{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.4745, "decode.acc_seg": 66.08397, "aux.loss_seg": 0.21913, "aux.acc_seg": 64.6484, "loss": 0.69363, "time": 0.72913} +{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 26851, "data_time": 0.00913, "decode.loss_seg": 0.45903, "decode.acc_seg": 68.07887, "aux.loss_seg": 0.21441, "aux.acc_seg": 66.34587, "loss": 0.67344, "time": 0.73433} +{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.45882, "decode.acc_seg": 65.99727, "aux.loss_seg": 0.21129, "aux.acc_seg": 64.65255, "loss": 0.67011, "time": 0.73415} +{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.49062, "decode.acc_seg": 65.84813, "aux.loss_seg": 0.22102, "aux.acc_seg": 64.68093, "loss": 0.71164, "time": 0.73526} +{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.47991, "decode.acc_seg": 65.04567, "aux.loss_seg": 0.21935, "aux.acc_seg": 63.76309, "loss": 0.69926, "time": 0.73631} +{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.4566, "decode.acc_seg": 66.19043, "aux.loss_seg": 0.21413, "aux.acc_seg": 64.49022, "loss": 0.67074, "time": 0.73252} +{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.48128, "decode.acc_seg": 65.06178, "aux.loss_seg": 0.22341, "aux.acc_seg": 63.53831, "loss": 0.70468, "time": 0.73814} +{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.51937, "decode.acc_seg": 64.48981, "aux.loss_seg": 0.23646, "aux.acc_seg": 63.11828, "loss": 0.75583, "time": 0.73486} +{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.46312, "decode.acc_seg": 68.3041, "aux.loss_seg": 0.21361, "aux.acc_seg": 66.85083, "loss": 0.67673, "time": 0.73562} +{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.50784, "decode.acc_seg": 64.43179, "aux.loss_seg": 0.23259, "aux.acc_seg": 62.91386, "loss": 0.74043, "time": 0.73633} +{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.47109, "decode.acc_seg": 64.99177, "aux.loss_seg": 0.21529, "aux.acc_seg": 63.1331, "loss": 0.68638, "time": 0.74006} +{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.45822, "decode.acc_seg": 66.07885, "aux.loss_seg": 0.21219, "aux.acc_seg": 64.58011, "loss": 0.67041, "time": 0.73372} +{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.4799, "decode.acc_seg": 65.74368, "aux.loss_seg": 0.22048, "aux.acc_seg": 64.42044, "loss": 0.70038, "time": 0.73593} +{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.46003, "decode.acc_seg": 67.12131, "aux.loss_seg": 0.21444, "aux.acc_seg": 65.53293, "loss": 0.67447, "time": 0.73436} +{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.46251, "decode.acc_seg": 66.40988, "aux.loss_seg": 0.21424, "aux.acc_seg": 65.17938, "loss": 0.67675, "time": 0.73433} +{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.48965, "decode.acc_seg": 65.08055, "aux.loss_seg": 0.22262, "aux.acc_seg": 63.70889, "loss": 0.71226, "time": 0.73462} +{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.48615, "decode.acc_seg": 64.74242, "aux.loss_seg": 0.22235, "aux.acc_seg": 63.35436, "loss": 0.70849, "time": 0.73438} +{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.47047, "decode.acc_seg": 66.5423, "aux.loss_seg": 0.21418, "aux.acc_seg": 65.27121, "loss": 0.68464, "time": 0.73904} +{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.47994, "decode.acc_seg": 65.59182, "aux.loss_seg": 0.21962, "aux.acc_seg": 64.09239, "loss": 0.69957, "time": 0.72757} +{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.51277, "decode.acc_seg": 66.23471, "aux.loss_seg": 0.23171, "aux.acc_seg": 64.97541, "loss": 0.74449, "time": 0.72691} +{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.49332, "decode.acc_seg": 66.11609, "aux.loss_seg": 0.22402, "aux.acc_seg": 64.64115, "loss": 0.71734, "time": 0.72838} +{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.50032, "decode.acc_seg": 65.60887, "aux.loss_seg": 0.22689, "aux.acc_seg": 64.19172, "loss": 0.7272, "time": 0.73791} +{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.48935, "decode.acc_seg": 66.29748, "aux.loss_seg": 0.22746, "aux.acc_seg": 64.53427, "loss": 0.71681, "time": 0.73659} +{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.48735, "decode.acc_seg": 67.10814, "aux.loss_seg": 0.22364, "aux.acc_seg": 65.46272, "loss": 0.71098, "time": 0.74024} +{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.48703, "decode.acc_seg": 66.69264, "aux.loss_seg": 0.22126, "aux.acc_seg": 65.12838, "loss": 0.70828, "time": 0.74002} +{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 26851, "data_time": 0.24359, "decode.loss_seg": 0.46799, "decode.acc_seg": 66.74144, "aux.loss_seg": 0.21868, "aux.acc_seg": 64.88183, "loss": 0.68667, "time": 0.96825} +{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.44772, "decode.acc_seg": 68.01571, "aux.loss_seg": 0.2085, "aux.acc_seg": 66.50354, "loss": 0.65622, "time": 0.73281} +{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.44926, "decode.acc_seg": 67.29432, "aux.loss_seg": 0.21124, "aux.acc_seg": 65.4804, "loss": 0.6605, "time": 0.73447} +{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.45219, "decode.acc_seg": 65.919, "aux.loss_seg": 0.20803, "aux.acc_seg": 64.84853, "loss": 0.66022, "time": 0.73704} +{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.47026, "decode.acc_seg": 66.31659, "aux.loss_seg": 0.21404, "aux.acc_seg": 64.84667, "loss": 0.6843, "time": 0.73923} +{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.44675, "decode.acc_seg": 66.43383, "aux.loss_seg": 0.20903, "aux.acc_seg": 64.93019, "loss": 0.65578, "time": 0.73442} +{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.45996, "decode.acc_seg": 66.3914, "aux.loss_seg": 0.21436, "aux.acc_seg": 64.84879, "loss": 0.67432, "time": 0.73522} +{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.4786, "decode.acc_seg": 67.40723, "aux.loss_seg": 0.22238, "aux.acc_seg": 65.51773, "loss": 0.70098, "time": 0.73265} +{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.45456, "decode.acc_seg": 66.45104, "aux.loss_seg": 0.21331, "aux.acc_seg": 64.67157, "loss": 0.66787, "time": 0.73422} +{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.45399, "decode.acc_seg": 66.30656, "aux.loss_seg": 0.21119, "aux.acc_seg": 64.90861, "loss": 0.66517, "time": 0.73616} +{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.46552, "decode.acc_seg": 66.68326, "aux.loss_seg": 0.21859, "aux.acc_seg": 65.0029, "loss": 0.68411, "time": 0.73423} +{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.47383, "decode.acc_seg": 65.19564, "aux.loss_seg": 0.2178, "aux.acc_seg": 63.7218, "loss": 0.69163, "time": 0.72805} +{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.52105, "decode.acc_seg": 65.22445, "aux.loss_seg": 0.23824, "aux.acc_seg": 63.50494, "loss": 0.75929, "time": 0.72869} +{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.47767, "decode.acc_seg": 66.47435, "aux.loss_seg": 0.21723, "aux.acc_seg": 65.15196, "loss": 0.6949, "time": 0.73067} +{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.47746, "decode.acc_seg": 67.03302, "aux.loss_seg": 0.21703, "aux.acc_seg": 65.3932, "loss": 0.69449, "time": 0.73039} +{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.44568, "decode.acc_seg": 67.35651, "aux.loss_seg": 0.20578, "aux.acc_seg": 65.98892, "loss": 0.65146, "time": 0.73633} +{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.47724, "decode.acc_seg": 67.08206, "aux.loss_seg": 0.21634, "aux.acc_seg": 65.87218, "loss": 0.69358, "time": 0.73395} +{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.45944, "decode.acc_seg": 67.0107, "aux.loss_seg": 0.21281, "aux.acc_seg": 65.62836, "loss": 0.67225, "time": 0.73132} +{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.47743, "decode.acc_seg": 67.04904, "aux.loss_seg": 0.21864, "aux.acc_seg": 65.43817, "loss": 0.69607, "time": 0.72858} +{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.47892, "decode.acc_seg": 66.58849, "aux.loss_seg": 0.21847, "aux.acc_seg": 65.04385, "loss": 0.69739, "time": 0.72705} +{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.47581, "decode.acc_seg": 65.95535, "aux.loss_seg": 0.22093, "aux.acc_seg": 64.5218, "loss": 0.69674, "time": 0.73403} +{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.48452, "decode.acc_seg": 66.15249, "aux.loss_seg": 0.22219, "aux.acc_seg": 65.02014, "loss": 0.70671, "time": 0.7344} +{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.46283, "decode.acc_seg": 66.4976, "aux.loss_seg": 0.21015, "aux.acc_seg": 65.22816, "loss": 0.67298, "time": 0.73298} +{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.46334, "decode.acc_seg": 65.87101, "aux.loss_seg": 0.21179, "aux.acc_seg": 64.43787, "loss": 0.67513, "time": 0.73424} +{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.489, "decode.acc_seg": 67.12997, "aux.loss_seg": 0.22127, "aux.acc_seg": 65.91562, "loss": 0.71027, "time": 0.73589} +{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 26851, "data_time": 0.24996, "decode.loss_seg": 0.4476, "decode.acc_seg": 66.76413, "aux.loss_seg": 0.2089, "aux.acc_seg": 65.05351, "loss": 0.6565, "time": 0.97737} +{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.44455, "decode.acc_seg": 67.63907, "aux.loss_seg": 0.20753, "aux.acc_seg": 66.09514, "loss": 0.65209, "time": 0.7299} +{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.45655, "decode.acc_seg": 66.11564, "aux.loss_seg": 0.21183, "aux.acc_seg": 64.43772, "loss": 0.66838, "time": 0.7323} +{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.46383, "decode.acc_seg": 67.37913, "aux.loss_seg": 0.21202, "aux.acc_seg": 66.07698, "loss": 0.67585, "time": 0.728} +{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.43733, "decode.acc_seg": 67.48222, "aux.loss_seg": 0.20742, "aux.acc_seg": 65.76916, "loss": 0.64476, "time": 0.73404} +{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.43651, "decode.acc_seg": 67.67386, "aux.loss_seg": 0.20594, "aux.acc_seg": 65.92368, "loss": 0.64245, "time": 0.72339} +{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.44652, "decode.acc_seg": 67.55819, "aux.loss_seg": 0.21052, "aux.acc_seg": 65.74895, "loss": 0.65704, "time": 0.73407} +{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.45889, "decode.acc_seg": 67.1071, "aux.loss_seg": 0.20942, "aux.acc_seg": 65.72157, "loss": 0.66831, "time": 0.73687} +{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.45244, "decode.acc_seg": 67.25986, "aux.loss_seg": 0.20923, "aux.acc_seg": 65.70961, "loss": 0.66166, "time": 0.73716} +{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.47604, "decode.acc_seg": 65.51419, "aux.loss_seg": 0.2223, "aux.acc_seg": 63.85418, "loss": 0.69834, "time": 0.73957} +{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.45344, "decode.acc_seg": 66.89208, "aux.loss_seg": 0.21048, "aux.acc_seg": 65.11923, "loss": 0.66391, "time": 0.73461} +{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.48558, "decode.acc_seg": 66.32587, "aux.loss_seg": 0.22586, "aux.acc_seg": 64.77867, "loss": 0.71144, "time": 0.73031} +{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.49476, "decode.acc_seg": 64.02749, "aux.loss_seg": 0.2252, "aux.acc_seg": 62.73599, "loss": 0.71996, "time": 0.73042} +{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.48828, "decode.acc_seg": 67.11117, "aux.loss_seg": 0.23038, "aux.acc_seg": 65.15424, "loss": 0.71867, "time": 0.73869} +{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.46031, "decode.acc_seg": 66.8209, "aux.loss_seg": 0.2108, "aux.acc_seg": 65.51585, "loss": 0.67111, "time": 0.73748} +{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.47205, "decode.acc_seg": 66.63012, "aux.loss_seg": 0.21672, "aux.acc_seg": 65.13074, "loss": 0.68877, "time": 0.73838} +{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.44633, "decode.acc_seg": 65.97065, "aux.loss_seg": 0.20397, "aux.acc_seg": 64.90433, "loss": 0.6503, "time": 0.73659} +{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.48576, "decode.acc_seg": 66.38927, "aux.loss_seg": 0.22435, "aux.acc_seg": 64.87098, "loss": 0.71012, "time": 0.73699} +{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.47132, "decode.acc_seg": 67.46508, "aux.loss_seg": 0.21913, "aux.acc_seg": 65.68529, "loss": 0.69045, "time": 0.73581} +{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.49445, "decode.acc_seg": 64.51172, "aux.loss_seg": 0.22429, "aux.acc_seg": 62.90923, "loss": 0.71874, "time": 0.72763} +{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.46636, "decode.acc_seg": 64.50972, "aux.loss_seg": 0.2146, "aux.acc_seg": 63.02343, "loss": 0.68097, "time": 0.73031} +{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.50769, "decode.acc_seg": 66.95933, "aux.loss_seg": 0.23417, "aux.acc_seg": 65.1218, "loss": 0.74186, "time": 0.73842} +{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.4663, "decode.acc_seg": 66.0512, "aux.loss_seg": 0.21543, "aux.acc_seg": 64.36472, "loss": 0.68174, "time": 0.7347} +{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.464, "decode.acc_seg": 65.6722, "aux.loss_seg": 0.21652, "aux.acc_seg": 64.16893, "loss": 0.68052, "time": 0.73763} +{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.46596, "decode.acc_seg": 66.09257, "aux.loss_seg": 0.21111, "aux.acc_seg": 64.89261, "loss": 0.67707, "time": 0.7328} +{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 26851, "data_time": 0.2446, "decode.loss_seg": 0.47994, "decode.acc_seg": 66.76347, "aux.loss_seg": 0.22169, "aux.acc_seg": 65.01311, "loss": 0.70162, "time": 0.96233} +{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.43943, "decode.acc_seg": 66.69946, "aux.loss_seg": 0.21052, "aux.acc_seg": 64.76642, "loss": 0.64995, "time": 0.72599} +{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.44807, "decode.acc_seg": 66.56773, "aux.loss_seg": 0.207, "aux.acc_seg": 65.07321, "loss": 0.65507, "time": 0.72862} +{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.43122, "decode.acc_seg": 67.75793, "aux.loss_seg": 0.20079, "aux.acc_seg": 66.01177, "loss": 0.63201, "time": 0.73269} +{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.43343, "decode.acc_seg": 68.30636, "aux.loss_seg": 0.20409, "aux.acc_seg": 66.5845, "loss": 0.63752, "time": 0.7312} +{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.43576, "decode.acc_seg": 67.29376, "aux.loss_seg": 0.20139, "aux.acc_seg": 65.84541, "loss": 0.63716, "time": 0.73599} +{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.45867, "decode.acc_seg": 66.81492, "aux.loss_seg": 0.21328, "aux.acc_seg": 65.07985, "loss": 0.67195, "time": 0.73473} +{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.44029, "decode.acc_seg": 68.97275, "aux.loss_seg": 0.20713, "aux.acc_seg": 67.28924, "loss": 0.64742, "time": 0.73394} +{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.46319, "decode.acc_seg": 67.84839, "aux.loss_seg": 0.21546, "aux.acc_seg": 66.18675, "loss": 0.67865, "time": 0.72573} +{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.43096, "decode.acc_seg": 67.8766, "aux.loss_seg": 0.19837, "aux.acc_seg": 66.32012, "loss": 0.62933, "time": 0.72809} +{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.46032, "decode.acc_seg": 67.65107, "aux.loss_seg": 0.21332, "aux.acc_seg": 66.18838, "loss": 0.67364, "time": 0.73232} +{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.43374, "decode.acc_seg": 65.80385, "aux.loss_seg": 0.20247, "aux.acc_seg": 64.2759, "loss": 0.63621, "time": 0.73094} +{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.45638, "decode.acc_seg": 65.48934, "aux.loss_seg": 0.2106, "aux.acc_seg": 64.14866, "loss": 0.66698, "time": 0.73956} +{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.44494, "decode.acc_seg": 67.99759, "aux.loss_seg": 0.20987, "aux.acc_seg": 66.3462, "loss": 0.65481, "time": 0.74189} +{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.45673, "decode.acc_seg": 67.13514, "aux.loss_seg": 0.21107, "aux.acc_seg": 65.56349, "loss": 0.6678, "time": 0.7321} +{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.44891, "decode.acc_seg": 68.12784, "aux.loss_seg": 0.20698, "aux.acc_seg": 66.75288, "loss": 0.65589, "time": 0.73456} +{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.42688, "decode.acc_seg": 67.62084, "aux.loss_seg": 0.19988, "aux.acc_seg": 66.12644, "loss": 0.62676, "time": 0.72772} +{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.44996, "decode.acc_seg": 66.62938, "aux.loss_seg": 0.20928, "aux.acc_seg": 65.05238, "loss": 0.65924, "time": 0.72435} +{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.45949, "decode.acc_seg": 67.40841, "aux.loss_seg": 0.21068, "aux.acc_seg": 65.97517, "loss": 0.67018, "time": 0.72988} +{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.45031, "decode.acc_seg": 66.75944, "aux.loss_seg": 0.21268, "aux.acc_seg": 65.03641, "loss": 0.66299, "time": 0.7324} +{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.44857, "decode.acc_seg": 66.08749, "aux.loss_seg": 0.20841, "aux.acc_seg": 64.79505, "loss": 0.65698, "time": 0.734} +{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.44846, "decode.acc_seg": 66.12799, "aux.loss_seg": 0.21238, "aux.acc_seg": 64.47232, "loss": 0.66085, "time": 0.73261} +{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.44082, "decode.acc_seg": 67.27791, "aux.loss_seg": 0.20419, "aux.acc_seg": 65.84637, "loss": 0.64501, "time": 0.73281} +{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.4549, "decode.acc_seg": 65.74443, "aux.loss_seg": 0.20894, "aux.acc_seg": 64.34105, "loss": 0.66384, "time": 0.73008} +{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.48655, "decode.acc_seg": 65.623, "aux.loss_seg": 0.22576, "aux.acc_seg": 64.01913, "loss": 0.71232, "time": 0.72497} +{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 26851, "data_time": 0.24581, "decode.loss_seg": 0.42833, "decode.acc_seg": 66.8234, "aux.loss_seg": 0.19748, "aux.acc_seg": 65.37908, "loss": 0.62581, "time": 0.96876} +{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.42959, "decode.acc_seg": 68.15201, "aux.loss_seg": 0.20247, "aux.acc_seg": 66.5497, "loss": 0.63206, "time": 0.73095} +{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.4422, "decode.acc_seg": 68.09534, "aux.loss_seg": 0.20515, "aux.acc_seg": 66.55088, "loss": 0.64734, "time": 0.7331} +{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.43871, "decode.acc_seg": 67.38806, "aux.loss_seg": 0.2018, "aux.acc_seg": 66.18407, "loss": 0.6405, "time": 0.73808} +{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.42928, "decode.acc_seg": 68.31038, "aux.loss_seg": 0.20342, "aux.acc_seg": 66.63994, "loss": 0.6327, "time": 0.73702} +{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.42193, "decode.acc_seg": 66.73768, "aux.loss_seg": 0.1964, "aux.acc_seg": 65.24261, "loss": 0.61833, "time": 0.73388} +{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.40895, "decode.acc_seg": 66.44119, "aux.loss_seg": 0.19149, "aux.acc_seg": 64.97358, "loss": 0.60044, "time": 0.73389} +{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.43969, "decode.acc_seg": 67.3887, "aux.loss_seg": 0.20385, "aux.acc_seg": 65.93832, "loss": 0.64354, "time": 0.7292} +{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.43901, "decode.acc_seg": 66.46001, "aux.loss_seg": 0.20706, "aux.acc_seg": 64.71683, "loss": 0.64607, "time": 0.72442} +{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.41435, "decode.acc_seg": 67.60969, "aux.loss_seg": 0.19324, "aux.acc_seg": 66.12016, "loss": 0.6076, "time": 0.73053} +{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.45033, "decode.acc_seg": 65.73663, "aux.loss_seg": 0.21051, "aux.acc_seg": 64.15139, "loss": 0.66085, "time": 0.7393} +{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.43468, "decode.acc_seg": 67.1617, "aux.loss_seg": 0.19732, "aux.acc_seg": 66.00572, "loss": 0.632, "time": 0.73137} +{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.4527, "decode.acc_seg": 65.92241, "aux.loss_seg": 0.20983, "aux.acc_seg": 64.62333, "loss": 0.66253, "time": 0.73998} +{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.44742, "decode.acc_seg": 66.67085, "aux.loss_seg": 0.21082, "aux.acc_seg": 64.96919, "loss": 0.65824, "time": 0.73702} +{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.44649, "decode.acc_seg": 66.24953, "aux.loss_seg": 0.20623, "aux.acc_seg": 64.57179, "loss": 0.65272, "time": 0.72749} +{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.43602, "decode.acc_seg": 68.53129, "aux.loss_seg": 0.20138, "aux.acc_seg": 67.17743, "loss": 0.6374, "time": 0.72662} +{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.42751, "decode.acc_seg": 66.76121, "aux.loss_seg": 0.20201, "aux.acc_seg": 65.18885, "loss": 0.62952, "time": 0.72938} +{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.43815, "decode.acc_seg": 66.50276, "aux.loss_seg": 0.20565, "aux.acc_seg": 64.82649, "loss": 0.6438, "time": 0.73361} +{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.43205, "decode.acc_seg": 67.44011, "aux.loss_seg": 0.20368, "aux.acc_seg": 65.80885, "loss": 0.63572, "time": 0.73101} +{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.43716, "decode.acc_seg": 67.40729, "aux.loss_seg": 0.20326, "aux.acc_seg": 65.96339, "loss": 0.64042, "time": 0.73353} +{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.4324, "decode.acc_seg": 67.92321, "aux.loss_seg": 0.20371, "aux.acc_seg": 66.09336, "loss": 0.63611, "time": 0.73409} +{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.44781, "decode.acc_seg": 66.19163, "aux.loss_seg": 0.20597, "aux.acc_seg": 64.82159, "loss": 0.65377, "time": 0.74049} +{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.45059, "decode.acc_seg": 66.26216, "aux.loss_seg": 0.2105, "aux.acc_seg": 64.7692, "loss": 0.66109, "time": 0.7346} +{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.4626, "decode.acc_seg": 66.62497, "aux.loss_seg": 0.212, "aux.acc_seg": 65.22099, "loss": 0.67459, "time": 0.7319} +{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.46137, "decode.acc_seg": 68.52931, "aux.loss_seg": 0.21245, "aux.acc_seg": 67.07221, "loss": 0.67383, "time": 0.7357} +{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.43564, "decode.acc_seg": 67.24252, "aux.loss_seg": 0.20163, "aux.acc_seg": 65.80837, "loss": 0.63727, "time": 0.73326} +{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 26851, "data_time": 0.25303, "decode.loss_seg": 0.43001, "decode.acc_seg": 67.05181, "aux.loss_seg": 0.20214, "aux.acc_seg": 65.37895, "loss": 0.63215, "time": 0.97386} +{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.40639, "decode.acc_seg": 67.54462, "aux.loss_seg": 0.19271, "aux.acc_seg": 65.91062, "loss": 0.5991, "time": 0.73108} +{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.40943, "decode.acc_seg": 66.89592, "aux.loss_seg": 0.19251, "aux.acc_seg": 65.30335, "loss": 0.60194, "time": 0.73685} +{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.40851, "decode.acc_seg": 67.21536, "aux.loss_seg": 0.18826, "aux.acc_seg": 65.90322, "loss": 0.59677, "time": 0.73545} +{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.43436, "decode.acc_seg": 67.4525, "aux.loss_seg": 0.19881, "aux.acc_seg": 66.16997, "loss": 0.63316, "time": 0.73302} +{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.43034, "decode.acc_seg": 67.45763, "aux.loss_seg": 0.19839, "aux.acc_seg": 66.42426, "loss": 0.62873, "time": 0.73569} +{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.42849, "decode.acc_seg": 68.18096, "aux.loss_seg": 0.19939, "aux.acc_seg": 66.53133, "loss": 0.62789, "time": 0.74009} +{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.39292, "decode.acc_seg": 68.00099, "aux.loss_seg": 0.1849, "aux.acc_seg": 66.52182, "loss": 0.57782, "time": 0.73745} +{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.45955, "decode.acc_seg": 64.99265, "aux.loss_seg": 0.21392, "aux.acc_seg": 63.59993, "loss": 0.67348, "time": 0.72927} +{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.43269, "decode.acc_seg": 67.09834, "aux.loss_seg": 0.2021, "aux.acc_seg": 65.5092, "loss": 0.63479, "time": 0.73334} +{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.44689, "decode.acc_seg": 66.38173, "aux.loss_seg": 0.20767, "aux.acc_seg": 64.78942, "loss": 0.65455, "time": 0.73189} +{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.44631, "decode.acc_seg": 68.21208, "aux.loss_seg": 0.20728, "aux.acc_seg": 66.59095, "loss": 0.6536, "time": 0.7385} +{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.40681, "decode.acc_seg": 66.19136, "aux.loss_seg": 0.19151, "aux.acc_seg": 64.56908, "loss": 0.59833, "time": 0.73021} +{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.40929, "decode.acc_seg": 68.32893, "aux.loss_seg": 0.19436, "aux.acc_seg": 66.77917, "loss": 0.60365, "time": 0.7311} +{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.41671, "decode.acc_seg": 67.29244, "aux.loss_seg": 0.19104, "aux.acc_seg": 65.92797, "loss": 0.60775, "time": 0.73247} +{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.43234, "decode.acc_seg": 66.82272, "aux.loss_seg": 0.20258, "aux.acc_seg": 65.27957, "loss": 0.63492, "time": 0.739} +{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.46709, "decode.acc_seg": 67.63077, "aux.loss_seg": 0.21533, "aux.acc_seg": 66.14547, "loss": 0.68242, "time": 0.72664} +{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.44144, "decode.acc_seg": 66.9362, "aux.loss_seg": 0.20525, "aux.acc_seg": 65.35211, "loss": 0.64669, "time": 0.7298} +{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.42127, "decode.acc_seg": 67.92151, "aux.loss_seg": 0.19479, "aux.acc_seg": 66.60489, "loss": 0.61606, "time": 0.73161} +{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.42927, "decode.acc_seg": 66.7861, "aux.loss_seg": 0.19773, "aux.acc_seg": 65.50929, "loss": 0.627, "time": 0.7391} +{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.42362, "decode.acc_seg": 67.64765, "aux.loss_seg": 0.20038, "aux.acc_seg": 66.06092, "loss": 0.624, "time": 0.73682} +{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.41732, "decode.acc_seg": 68.70049, "aux.loss_seg": 0.19561, "aux.acc_seg": 66.97931, "loss": 0.61293, "time": 0.73664} +{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.44182, "decode.acc_seg": 65.5435, "aux.loss_seg": 0.20777, "aux.acc_seg": 63.93554, "loss": 0.64959, "time": 0.73749} +{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.4244, "decode.acc_seg": 67.94841, "aux.loss_seg": 0.19794, "aux.acc_seg": 66.36895, "loss": 0.62234, "time": 0.72987} +{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.44437, "decode.acc_seg": 67.67793, "aux.loss_seg": 0.21048, "aux.acc_seg": 65.72445, "loss": 0.65485, "time": 0.72869} +{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 26851, "data_time": 0.24878, "decode.loss_seg": 0.44035, "decode.acc_seg": 67.41099, "aux.loss_seg": 0.20486, "aux.acc_seg": 65.79076, "loss": 0.64521, "time": 0.96671} +{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.43642, "decode.acc_seg": 67.02289, "aux.loss_seg": 0.20334, "aux.acc_seg": 65.28638, "loss": 0.63976, "time": 0.73303} +{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.42226, "decode.acc_seg": 68.50742, "aux.loss_seg": 0.19649, "aux.acc_seg": 66.90651, "loss": 0.61875, "time": 0.73199} +{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.43088, "decode.acc_seg": 67.03967, "aux.loss_seg": 0.20227, "aux.acc_seg": 65.57454, "loss": 0.63315, "time": 0.73057} +{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.40567, "decode.acc_seg": 68.36704, "aux.loss_seg": 0.19368, "aux.acc_seg": 66.5273, "loss": 0.59935, "time": 0.72897} +{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.39466, "decode.acc_seg": 67.19296, "aux.loss_seg": 0.18849, "aux.acc_seg": 65.19573, "loss": 0.58315, "time": 0.73366} +{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.41842, "decode.acc_seg": 67.7595, "aux.loss_seg": 0.19907, "aux.acc_seg": 66.08009, "loss": 0.61749, "time": 0.73299} +{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.41361, "decode.acc_seg": 67.4259, "aux.loss_seg": 0.19705, "aux.acc_seg": 65.57293, "loss": 0.61066, "time": 0.74287} +{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.41046, "decode.acc_seg": 67.5638, "aux.loss_seg": 0.18889, "aux.acc_seg": 66.40742, "loss": 0.59935, "time": 0.73121} +{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.39581, "decode.acc_seg": 67.06764, "aux.loss_seg": 0.18532, "aux.acc_seg": 65.74357, "loss": 0.58113, "time": 0.72758} +{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.39478, "decode.acc_seg": 68.93402, "aux.loss_seg": 0.18576, "aux.acc_seg": 67.43598, "loss": 0.58053, "time": 0.73277} +{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.42995, "decode.acc_seg": 68.28053, "aux.loss_seg": 0.19828, "aux.acc_seg": 66.60872, "loss": 0.62823, "time": 0.73579} +{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.45283, "decode.acc_seg": 66.27124, "aux.loss_seg": 0.21046, "aux.acc_seg": 64.94318, "loss": 0.66328, "time": 0.73852} +{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.41797, "decode.acc_seg": 67.98932, "aux.loss_seg": 0.19297, "aux.acc_seg": 66.46669, "loss": 0.61094, "time": 0.7351} +{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.42611, "decode.acc_seg": 67.59389, "aux.loss_seg": 0.19879, "aux.acc_seg": 66.08592, "loss": 0.6249, "time": 0.73694} +{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.44462, "decode.acc_seg": 68.44093, "aux.loss_seg": 0.20433, "aux.acc_seg": 66.92556, "loss": 0.64895, "time": 0.73266} +{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.43594, "decode.acc_seg": 68.10096, "aux.loss_seg": 0.20535, "aux.acc_seg": 66.34351, "loss": 0.64129, "time": 0.7282} +{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.41938, "decode.acc_seg": 67.31371, "aux.loss_seg": 0.19538, "aux.acc_seg": 65.76846, "loss": 0.61477, "time": 0.72971} +{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.42175, "decode.acc_seg": 68.59285, "aux.loss_seg": 0.20135, "aux.acc_seg": 66.82629, "loss": 0.6231, "time": 0.73196} +{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.41456, "decode.acc_seg": 66.08719, "aux.loss_seg": 0.19699, "aux.acc_seg": 64.52681, "loss": 0.61155, "time": 0.73326} +{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.43048, "decode.acc_seg": 66.31104, "aux.loss_seg": 0.20503, "aux.acc_seg": 64.5043, "loss": 0.63552, "time": 0.73232} +{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.43762, "decode.acc_seg": 66.05362, "aux.loss_seg": 0.20097, "aux.acc_seg": 64.63234, "loss": 0.63859, "time": 0.73467} +{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.40293, "decode.acc_seg": 68.76143, "aux.loss_seg": 0.18968, "aux.acc_seg": 67.08302, "loss": 0.59261, "time": 0.73163} +{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.42148, "decode.acc_seg": 67.79019, "aux.loss_seg": 0.19413, "aux.acc_seg": 66.53572, "loss": 0.61561, "time": 0.73642} +{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.40576, "decode.acc_seg": 67.96731, "aux.loss_seg": 0.19239, "aux.acc_seg": 66.21844, "loss": 0.59815, "time": 0.73703} +{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 26851, "data_time": 0.25064, "decode.loss_seg": 0.42067, "decode.acc_seg": 68.26427, "aux.loss_seg": 0.19558, "aux.acc_seg": 66.71104, "loss": 0.61624, "time": 0.96925} +{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 26851, "data_time": 0.00978, "decode.loss_seg": 0.40743, "decode.acc_seg": 68.25114, "aux.loss_seg": 0.19372, "aux.acc_seg": 66.49151, "loss": 0.60114, "time": 0.73436} +{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.39618, "decode.acc_seg": 68.54529, "aux.loss_seg": 0.19008, "aux.acc_seg": 66.90215, "loss": 0.58625, "time": 0.73661} +{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.41335, "decode.acc_seg": 67.85253, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.2242, "loss": 0.60772, "time": 0.73133} +{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.39497, "decode.acc_seg": 69.48818, "aux.loss_seg": 0.18679, "aux.acc_seg": 67.86702, "loss": 0.58177, "time": 0.73449} +{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.40461, "decode.acc_seg": 67.4641, "aux.loss_seg": 0.19244, "aux.acc_seg": 65.78478, "loss": 0.59705, "time": 0.73072} +{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.43499, "decode.acc_seg": 66.83503, "aux.loss_seg": 0.201, "aux.acc_seg": 65.3279, "loss": 0.636, "time": 0.73213} +{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.37738, "decode.acc_seg": 67.85713, "aux.loss_seg": 0.17957, "aux.acc_seg": 66.21301, "loss": 0.55695, "time": 0.73794} +{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.4124, "decode.acc_seg": 68.25408, "aux.loss_seg": 0.19212, "aux.acc_seg": 66.99516, "loss": 0.60452, "time": 0.73896} +{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.41444, "decode.acc_seg": 67.96935, "aux.loss_seg": 0.19453, "aux.acc_seg": 66.49493, "loss": 0.60897, "time": 0.73608} +{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.43582, "decode.acc_seg": 67.95391, "aux.loss_seg": 0.20636, "aux.acc_seg": 66.06696, "loss": 0.64218, "time": 0.74053} +{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.43023, "decode.acc_seg": 68.24089, "aux.loss_seg": 0.19929, "aux.acc_seg": 66.74881, "loss": 0.62952, "time": 0.7289} +{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.40813, "decode.acc_seg": 66.22928, "aux.loss_seg": 0.19088, "aux.acc_seg": 64.61544, "loss": 0.59901, "time": 0.72705} +{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.42773, "decode.acc_seg": 67.51536, "aux.loss_seg": 0.20293, "aux.acc_seg": 65.65663, "loss": 0.63066, "time": 0.73316} +{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.41807, "decode.acc_seg": 68.09772, "aux.loss_seg": 0.19525, "aux.acc_seg": 66.43056, "loss": 0.61332, "time": 0.73429} +{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.41896, "decode.acc_seg": 68.44436, "aux.loss_seg": 0.19797, "aux.acc_seg": 66.72511, "loss": 0.61693, "time": 0.7357} +{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.42231, "decode.acc_seg": 67.95274, "aux.loss_seg": 0.19765, "aux.acc_seg": 66.24887, "loss": 0.61996, "time": 0.73436} +{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.42662, "decode.acc_seg": 67.72638, "aux.loss_seg": 0.1984, "aux.acc_seg": 66.31035, "loss": 0.62502, "time": 0.74069} +{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.42499, "decode.acc_seg": 66.03112, "aux.loss_seg": 0.19521, "aux.acc_seg": 64.61665, "loss": 0.6202, "time": 0.73168} +{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.39048, "decode.acc_seg": 69.16784, "aux.loss_seg": 0.18434, "aux.acc_seg": 67.66307, "loss": 0.57482, "time": 0.72701} +{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.4085, "decode.acc_seg": 66.86965, "aux.loss_seg": 0.19153, "aux.acc_seg": 65.33432, "loss": 0.60003, "time": 0.73163} +{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 26851, "data_time": 0.00946, "decode.loss_seg": 0.41645, "decode.acc_seg": 67.23848, "aux.loss_seg": 0.19395, "aux.acc_seg": 65.70196, "loss": 0.6104, "time": 0.73878} +{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.43673, "decode.acc_seg": 67.31626, "aux.loss_seg": 0.20218, "aux.acc_seg": 65.69368, "loss": 0.63891, "time": 0.73172} +{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.43641, "decode.acc_seg": 67.34589, "aux.loss_seg": 0.20129, "aux.acc_seg": 65.95399, "loss": 0.6377, "time": 0.73425} +{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.45852, "decode.acc_seg": 66.82611, "aux.loss_seg": 0.20981, "aux.acc_seg": 65.58929, "loss": 0.66833, "time": 0.7342} +{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 26851, "data_time": 0.24826, "decode.loss_seg": 0.41512, "decode.acc_seg": 70.4403, "aux.loss_seg": 0.19427, "aux.acc_seg": 68.98497, "loss": 0.60939, "time": 0.97388} +{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.39269, "decode.acc_seg": 68.28056, "aux.loss_seg": 0.18721, "aux.acc_seg": 66.69536, "loss": 0.57989, "time": 0.73449} +{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.39324, "decode.acc_seg": 68.44428, "aux.loss_seg": 0.18909, "aux.acc_seg": 66.50816, "loss": 0.58233, "time": 0.7325} +{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.4096, "decode.acc_seg": 68.49462, "aux.loss_seg": 0.19572, "aux.acc_seg": 66.55493, "loss": 0.60533, "time": 0.73072} +{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.43124, "decode.acc_seg": 66.49153, "aux.loss_seg": 0.20554, "aux.acc_seg": 64.52085, "loss": 0.63677, "time": 0.73641} +{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.4195, "decode.acc_seg": 67.45402, "aux.loss_seg": 0.19844, "aux.acc_seg": 65.80385, "loss": 0.61794, "time": 0.73653} +{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.39512, "decode.acc_seg": 69.14654, "aux.loss_seg": 0.18804, "aux.acc_seg": 67.35831, "loss": 0.58317, "time": 0.7346} +{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.38844, "decode.acc_seg": 68.71299, "aux.loss_seg": 0.1835, "aux.acc_seg": 66.98677, "loss": 0.57195, "time": 0.73478} +{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.41696, "decode.acc_seg": 68.43165, "aux.loss_seg": 0.19381, "aux.acc_seg": 66.75046, "loss": 0.61077, "time": 0.73505} +{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.39297, "decode.acc_seg": 68.32777, "aux.loss_seg": 0.18864, "aux.acc_seg": 66.34041, "loss": 0.58161, "time": 0.72983} +{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.41262, "decode.acc_seg": 66.64182, "aux.loss_seg": 0.19332, "aux.acc_seg": 65.11306, "loss": 0.60594, "time": 0.73012} +{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.39921, "decode.acc_seg": 68.22834, "aux.loss_seg": 0.18641, "aux.acc_seg": 66.86912, "loss": 0.58562, "time": 0.73679} +{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.42726, "decode.acc_seg": 67.34001, "aux.loss_seg": 0.19938, "aux.acc_seg": 65.63789, "loss": 0.62665, "time": 0.7348} +{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.416, "decode.acc_seg": 67.69016, "aux.loss_seg": 0.19638, "aux.acc_seg": 65.96803, "loss": 0.61238, "time": 0.73319} +{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.38168, "decode.acc_seg": 68.878, "aux.loss_seg": 0.18187, "aux.acc_seg": 67.1296, "loss": 0.56356, "time": 0.73514} +{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.38309, "decode.acc_seg": 66.93391, "aux.loss_seg": 0.18388, "aux.acc_seg": 65.34774, "loss": 0.56698, "time": 0.73575} +{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.43929, "decode.acc_seg": 69.2659, "aux.loss_seg": 0.20166, "aux.acc_seg": 67.81019, "loss": 0.64096, "time": 0.72739} +{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.40502, "decode.acc_seg": 68.58559, "aux.loss_seg": 0.19148, "aux.acc_seg": 67.0489, "loss": 0.5965, "time": 0.72592} +{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.40847, "decode.acc_seg": 67.74723, "aux.loss_seg": 0.19285, "aux.acc_seg": 66.23595, "loss": 0.60132, "time": 0.73643} +{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.39341, "decode.acc_seg": 68.95787, "aux.loss_seg": 0.18417, "aux.acc_seg": 67.48738, "loss": 0.57758, "time": 0.72884} +{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.40876, "decode.acc_seg": 67.82908, "aux.loss_seg": 0.19288, "aux.acc_seg": 66.23616, "loss": 0.60163, "time": 0.73236} +{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.41553, "decode.acc_seg": 67.34299, "aux.loss_seg": 0.19327, "aux.acc_seg": 65.78628, "loss": 0.6088, "time": 0.73103} +{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.39992, "decode.acc_seg": 67.63973, "aux.loss_seg": 0.18866, "aux.acc_seg": 66.11529, "loss": 0.58858, "time": 0.74192} +{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.4136, "decode.acc_seg": 67.19447, "aux.loss_seg": 0.19296, "aux.acc_seg": 65.62203, "loss": 0.60656, "time": 0.72839} +{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.41973, "decode.acc_seg": 69.17348, "aux.loss_seg": 0.19285, "aux.acc_seg": 67.76467, "loss": 0.61259, "time": 0.72629} +{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.40724, "decode.acc_seg": 68.9457, "aux.loss_seg": 0.1915, "aux.acc_seg": 67.15241, "loss": 0.59874, "time": 0.73827} +{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 26851, "data_time": 0.24258, "decode.loss_seg": 0.3817, "decode.acc_seg": 68.31578, "aux.loss_seg": 0.18152, "aux.acc_seg": 66.65398, "loss": 0.56322, "time": 0.97205} +{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.42986, "decode.acc_seg": 66.82581, "aux.loss_seg": 0.20699, "aux.acc_seg": 64.91996, "loss": 0.63685, "time": 0.73592} +{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.3596, "decode.acc_seg": 68.38852, "aux.loss_seg": 0.17142, "aux.acc_seg": 66.68682, "loss": 0.53102, "time": 0.73319} +{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 26851, "data_time": 0.00905, "decode.loss_seg": 0.37392, "decode.acc_seg": 67.54841, "aux.loss_seg": 0.17876, "aux.acc_seg": 65.94044, "loss": 0.55269, "time": 0.73349} +{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.41727, "decode.acc_seg": 67.91177, "aux.loss_seg": 0.19844, "aux.acc_seg": 66.25895, "loss": 0.61571, "time": 0.73462} +{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.391, "decode.acc_seg": 68.88446, "aux.loss_seg": 0.18425, "aux.acc_seg": 67.19159, "loss": 0.57525, "time": 0.73268} +{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.41256, "decode.acc_seg": 68.19319, "aux.loss_seg": 0.19529, "aux.acc_seg": 66.49123, "loss": 0.60785, "time": 0.73315} +{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.39604, "decode.acc_seg": 68.47484, "aux.loss_seg": 0.1905, "aux.acc_seg": 66.64057, "loss": 0.58654, "time": 0.73284} +{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.38098, "decode.acc_seg": 69.28427, "aux.loss_seg": 0.18164, "aux.acc_seg": 67.63437, "loss": 0.56262, "time": 0.72574} +{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.43373, "decode.acc_seg": 68.42627, "aux.loss_seg": 0.20456, "aux.acc_seg": 66.69789, "loss": 0.63829, "time": 0.72793} +{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.38077, "decode.acc_seg": 67.64929, "aux.loss_seg": 0.17792, "aux.acc_seg": 66.33054, "loss": 0.5587, "time": 0.7294} +{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.41381, "decode.acc_seg": 69.40034, "aux.loss_seg": 0.19104, "aux.acc_seg": 67.90438, "loss": 0.60485, "time": 0.73213} +{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.38264, "decode.acc_seg": 67.7281, "aux.loss_seg": 0.17879, "aux.acc_seg": 66.22163, "loss": 0.56143, "time": 0.73427} +{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.39018, "decode.acc_seg": 68.73897, "aux.loss_seg": 0.1835, "aux.acc_seg": 66.98654, "loss": 0.57368, "time": 0.7352} +{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.40907, "decode.acc_seg": 68.41924, "aux.loss_seg": 0.195, "aux.acc_seg": 66.64923, "loss": 0.60407, "time": 0.7299} +{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.40165, "decode.acc_seg": 69.01285, "aux.loss_seg": 0.18991, "aux.acc_seg": 67.64123, "loss": 0.59155, "time": 0.72963} +{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.39739, "decode.acc_seg": 67.10612, "aux.loss_seg": 0.18795, "aux.acc_seg": 65.3249, "loss": 0.58534, "time": 0.73038} +{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.39342, "decode.acc_seg": 67.11965, "aux.loss_seg": 0.18406, "aux.acc_seg": 65.6287, "loss": 0.57748, "time": 0.72881} +{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.38498, "decode.acc_seg": 69.4349, "aux.loss_seg": 0.18237, "aux.acc_seg": 67.73832, "loss": 0.56735, "time": 0.73036} +{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.39553, "decode.acc_seg": 67.74974, "aux.loss_seg": 0.18783, "aux.acc_seg": 66.24496, "loss": 0.58336, "time": 0.72983} +{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.38477, "decode.acc_seg": 69.04973, "aux.loss_seg": 0.18347, "aux.acc_seg": 67.15131, "loss": 0.56824, "time": 0.73246} +{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.39728, "decode.acc_seg": 69.71036, "aux.loss_seg": 0.18775, "aux.acc_seg": 67.80338, "loss": 0.58502, "time": 0.73648} +{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.4133, "decode.acc_seg": 67.28678, "aux.loss_seg": 0.19274, "aux.acc_seg": 65.78956, "loss": 0.60604, "time": 0.73142} +{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.39879, "decode.acc_seg": 68.90327, "aux.loss_seg": 0.18773, "aux.acc_seg": 67.43922, "loss": 0.58652, "time": 0.72875} +{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.3934, "decode.acc_seg": 68.44051, "aux.loss_seg": 0.18498, "aux.acc_seg": 66.93198, "loss": 0.57838, "time": 0.72564} +{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 26851, "data_time": 0.24442, "decode.loss_seg": 0.41039, "decode.acc_seg": 67.74392, "aux.loss_seg": 0.19378, "aux.acc_seg": 65.96229, "loss": 0.60418, "time": 0.96684} +{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.3893, "decode.acc_seg": 69.7498, "aux.loss_seg": 0.18459, "aux.acc_seg": 68.0348, "loss": 0.57389, "time": 0.72917} +{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.40034, "decode.acc_seg": 69.51302, "aux.loss_seg": 0.19154, "aux.acc_seg": 67.66677, "loss": 0.59188, "time": 0.72913} +{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.38947, "decode.acc_seg": 68.52408, "aux.loss_seg": 0.18363, "aux.acc_seg": 66.90066, "loss": 0.57309, "time": 0.7334} +{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.40973, "decode.acc_seg": 68.09769, "aux.loss_seg": 0.19235, "aux.acc_seg": 66.37533, "loss": 0.60208, "time": 0.73234} +{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.40782, "decode.acc_seg": 67.58672, "aux.loss_seg": 0.19122, "aux.acc_seg": 66.1574, "loss": 0.59904, "time": 0.73779} +{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.38309, "decode.acc_seg": 69.71249, "aux.loss_seg": 0.17953, "aux.acc_seg": 68.2321, "loss": 0.56261, "time": 0.73048} +{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.38965, "decode.acc_seg": 67.89985, "aux.loss_seg": 0.18371, "aux.acc_seg": 66.39555, "loss": 0.57336, "time": 0.72314} +{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4445, "mAcc": 0.5765, "aAcc": 0.8034, "IoU.wall": 0.7454, "IoU.building": 0.7966, "IoU.sky": 0.9356, "IoU.floor": 0.787, "IoU.tree": 0.7353, "IoU.ceiling": 0.8253, "IoU.road": 0.7992, "IoU.bed ": 0.8397, "IoU.windowpane": 0.5764, "IoU.grass": 0.6269, "IoU.cabinet": 0.5373, "IoU.sidewalk": 0.5926, "IoU.person": 0.757, "IoU.earth": 0.3113, "IoU.door": 0.4249, "IoU.table": 0.5121, "IoU.mountain": 0.5418, "IoU.plant": 0.5012, "IoU.curtain": 0.6729, "IoU.chair": 0.4852, "IoU.car": 0.8102, "IoU.water": 0.6188, "IoU.painting": 0.6611, "IoU.sofa": 0.4526, "IoU.shelf": 0.3637, "IoU.house": 0.4177, "IoU.sea": 0.5627, "IoU.mirror": 0.5454, "IoU.rug": 0.6505, "IoU.field": 0.2405, "IoU.armchair": 0.3463, "IoU.seat": 0.608, "IoU.fence": 0.4037, "IoU.desk": 0.4246, "IoU.rock": 0.3729, "IoU.wardrobe": 0.4485, "IoU.lamp": 0.5361, "IoU.bathtub": 0.6758, "IoU.railing": 0.3334, "IoU.cushion": 0.4832, "IoU.base": 0.3083, "IoU.box": 0.2018, "IoU.column": 0.3924, "IoU.signboard": 0.3395, "IoU.chest of drawers": 0.3962, "IoU.counter": 0.3609, "IoU.sand": 0.3371, "IoU.sink": 0.627, "IoU.skyscraper": 0.4391, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5998, "IoU.grandstand": 0.4241, "IoU.path": 0.2423, "IoU.stairs": 0.3113, "IoU.runway": 0.72, "IoU.case": 0.4787, "IoU.pool table": 0.8823, "IoU.pillow": 0.5044, "IoU.screen door": 0.6402, "IoU.stairway": 0.2465, "IoU.river": 0.1935, "IoU.bridge": 0.6626, "IoU.bookcase": 0.3513, "IoU.blind": NaN, "IoU.coffee table": 0.4525, "IoU.toilet": 0.77, "IoU.flower": 0.3438, "IoU.book": 0.4033, "IoU.hill": 0.0508, "IoU.bench": 0.4322, "IoU.countertop": 0.5171, "IoU.stove": 0.6081, "IoU.palm": 0.4439, "IoU.kitchen island": 0.2646, "IoU.computer": 0.6027, "IoU.swivel chair": 0.4165, "IoU.boat": 0.4764, "IoU.bar": 0.4364, "IoU.arcade machine": 0.7054, "IoU.hovel": 0.3371, "IoU.bus": 0.7845, "IoU.towel": 0.5486, "IoU.light": 0.459, "IoU.truck": 0.1632, "IoU.tower": 0.2945, "IoU.chandelier": 0.6232, "IoU.awning": 0.2375, "IoU.streetlight": 0.1633, "IoU.booth": 0.4393, "IoU.television receiver": NaN, "IoU.airplane": 0.5527, "IoU.dirt track": 0.0992, "IoU.apparel": 0.2656, "IoU.pole": 0.1148, "IoU.land": 0.0099, "IoU.bannister": 0.0668, "IoU.escalator": 0.4139, "IoU.ottoman": 0.3582, "IoU.bottle": NaN, "IoU.buffet": 0.4834, "IoU.poster": 0.1191, "IoU.stage": 0.1577, "IoU.van": 0.3748, "IoU.ship": 0.5432, "IoU.fountain": 0.3401, "IoU.conveyer belt": 0.572, "IoU.canopy": 0.0928, "IoU.washer": 0.6906, "IoU.plaything": 0.1883, "IoU.swimming pool": 0.6286, "IoU.stool": 0.2465, "IoU.barrel": 0.4068, "IoU.basket": 0.2474, "IoU.waterfall": 0.5707, "IoU.tent": 0.9336, "IoU.bag": 0.0854, "IoU.minibike": 0.6445, "IoU.cradle": NaN, "IoU.oven": 0.1919, "IoU.ball": 0.4747, "IoU.food": 0.514, "IoU.step": 0.0187, "IoU.tank": 0.4553, "IoU.trade name": 0.1884, "IoU.microwave": 0.6731, "IoU.pot": 0.4465, "IoU.animal": NaN, "IoU.bicycle": 0.5216, "IoU.lake": 0.6216, "IoU.dishwasher": 0.4798, "IoU.screen": 0.6235, "IoU.blanket": 0.148, "IoU.sculpture": 0.533, "IoU.hood": 0.4682, "IoU.sconce": 0.2331, "IoU.vase": 0.3047, "IoU.traffic light": 0.1831, "IoU.tray": 0.0172, "IoU.ashcan": 0.2872, "IoU.fan": 0.5166, "IoU.pier": 0.5666, "IoU.crt screen": 0.097, "IoU.plate": 0.5085, "IoU.monitor": 0.3859, "IoU.bulletin board": 0.4425, "IoU.shower": 0.0, "IoU.radiator": 0.5088, "IoU.glass": 0.1029, "IoU.clock": 0.294, "IoU.flag": 0.4051, "Acc.wall": 0.8659, "Acc.building": 0.9077, "Acc.sky": 0.975, "Acc.floor": 0.8768, "Acc.tree": 0.8677, "Acc.ceiling": 0.8901, "Acc.road": 0.8552, "Acc.bed ": 0.925, "Acc.windowpane": 0.7779, "Acc.grass": 0.7327, "Acc.cabinet": 0.6673, "Acc.sidewalk": 0.8187, "Acc.person": 0.8907, "Acc.earth": 0.4268, "Acc.door": 0.5489, "Acc.table": 0.6833, "Acc.mountain": 0.6843, "Acc.plant": 0.6506, "Acc.curtain": 0.8343, "Acc.chair": 0.6435, "Acc.car": 0.8958, "Acc.water": 0.793, "Acc.painting": 0.8167, "Acc.sofa": 0.5313, "Acc.shelf": 0.5261, "Acc.house": 0.5222, "Acc.sea": 0.6895, "Acc.mirror": 0.6512, "Acc.rug": 0.7301, "Acc.field": 0.547, "Acc.armchair": 0.7699, "Acc.seat": 0.8509, "Acc.fence": 0.6485, "Acc.desk": 0.5977, "Acc.rock": 0.5287, "Acc.wardrobe": 0.71, "Acc.lamp": 0.691, "Acc.bathtub": 0.7923, "Acc.railing": 0.4562, "Acc.cushion": 0.604, "Acc.base": 0.5769, "Acc.box": 0.2473, "Acc.column": 0.4825, "Acc.signboard": 0.4397, "Acc.chest of drawers": 0.5482, "Acc.counter": 0.4657, "Acc.sand": 0.6038, "Acc.sink": 0.6953, "Acc.skyscraper": 0.5469, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7538, "Acc.grandstand": 0.6593, "Acc.path": 0.3604, "Acc.stairs": 0.3673, "Acc.runway": 0.9686, "Acc.case": 0.7024, "Acc.pool table": 0.9656, "Acc.pillow": 0.6187, "Acc.screen door": 0.7348, "Acc.stairway": 0.2855, "Acc.river": 0.3201, "Acc.bridge": 0.7979, "Acc.bookcase": 0.4559, "Acc.blind": NaN, "Acc.coffee table": 0.7793, "Acc.toilet": 0.855, "Acc.flower": 0.5345, "Acc.book": 0.5755, "Acc.hill": 0.08, "Acc.bench": 0.5015, "Acc.countertop": 0.6731, "Acc.stove": 0.752, "Acc.palm": 0.7659, "Acc.kitchen island": 0.8489, "Acc.computer": 0.7014, "Acc.swivel chair": 0.6029, "Acc.boat": 0.6178, "Acc.bar": 0.564, "Acc.arcade machine": 0.7911, "Acc.hovel": 0.4167, "Acc.bus": 0.9091, "Acc.towel": 0.7413, "Acc.light": 0.537, "Acc.truck": 0.232, "Acc.tower": 0.5794, "Acc.chandelier": 0.771, "Acc.awning": 0.2937, "Acc.streetlight": 0.2101, "Acc.booth": 0.6007, "Acc.television receiver": NaN, "Acc.airplane": 0.616, "Acc.dirt track": 0.2071, "Acc.apparel": 0.5127, "Acc.pole": 0.1497, "Acc.land": 0.017, "Acc.bannister": 0.0811, "Acc.escalator": 0.5436, "Acc.ottoman": 0.4816, "Acc.bottle": NaN, "Acc.buffet": 0.6184, "Acc.poster": 0.135, "Acc.stage": 0.2603, "Acc.van": 0.4971, "Acc.ship": 0.8685, "Acc.fountain": 0.3478, "Acc.conveyer belt": 0.8971, "Acc.canopy": 0.1296, "Acc.washer": 0.8197, "Acc.plaything": 0.3096, "Acc.swimming pool": 0.8569, "Acc.stool": 0.3444, "Acc.barrel": 0.641, "Acc.basket": 0.363, "Acc.waterfall": 0.7769, "Acc.tent": 0.981, "Acc.bag": 0.0948, "Acc.minibike": 0.7919, "Acc.cradle": NaN, "Acc.oven": 0.3259, "Acc.ball": 0.5453, "Acc.food": 0.565, "Acc.step": 0.0221, "Acc.tank": 0.5475, "Acc.trade name": 0.2036, "Acc.microwave": 0.7884, "Acc.pot": 0.5021, "Acc.animal": NaN, "Acc.bicycle": 0.7056, "Acc.lake": 0.6495, "Acc.dishwasher": 0.6205, "Acc.screen": 0.9031, "Acc.blanket": 0.1843, "Acc.sculpture": 0.6437, "Acc.hood": 0.5603, "Acc.sconce": 0.2561, "Acc.vase": 0.4565, "Acc.traffic light": 0.2706, "Acc.tray": 0.0216, "Acc.ashcan": 0.4749, "Acc.fan": 0.6022, "Acc.pier": 0.8264, "Acc.crt screen": 0.1289, "Acc.plate": 0.7146, "Acc.monitor": 0.7028, "Acc.bulletin board": 0.5479, "Acc.shower": 0.0, "Acc.radiator": 0.577, "Acc.glass": 0.1095, "Acc.clock": 0.3309, "Acc.flag": 0.4851} +{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 26851, "data_time": 1.81221, "decode.loss_seg": 0.3854, "decode.acc_seg": 68.13072, "aux.loss_seg": 0.18446, "aux.acc_seg": 66.51887, "loss": 0.56986, "time": 2.53018} +{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.41476, "decode.acc_seg": 69.31849, "aux.loss_seg": 0.19692, "aux.acc_seg": 67.4716, "loss": 0.61168, "time": 0.73089} +{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.39266, "decode.acc_seg": 69.27205, "aux.loss_seg": 0.18667, "aux.acc_seg": 67.63456, "loss": 0.57933, "time": 0.73131} +{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.38939, "decode.acc_seg": 70.30897, "aux.loss_seg": 0.18522, "aux.acc_seg": 68.7028, "loss": 0.57461, "time": 0.72703} +{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.41669, "decode.acc_seg": 67.01452, "aux.loss_seg": 0.19712, "aux.acc_seg": 65.70464, "loss": 0.61381, "time": 0.73794} +{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.39073, "decode.acc_seg": 69.01803, "aux.loss_seg": 0.18508, "aux.acc_seg": 67.1332, "loss": 0.5758, "time": 0.73102} +{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.41294, "decode.acc_seg": 67.85889, "aux.loss_seg": 0.19236, "aux.acc_seg": 66.52176, "loss": 0.60531, "time": 0.73478} +{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.39134, "decode.acc_seg": 68.91464, "aux.loss_seg": 0.18458, "aux.acc_seg": 67.42034, "loss": 0.57591, "time": 0.72942} +{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.40285, "decode.acc_seg": 68.40682, "aux.loss_seg": 0.19044, "aux.acc_seg": 66.79023, "loss": 0.59329, "time": 0.72375} +{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.41473, "decode.acc_seg": 68.05897, "aux.loss_seg": 0.19489, "aux.acc_seg": 66.27598, "loss": 0.60962, "time": 0.73182} +{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.41244, "decode.acc_seg": 69.18302, "aux.loss_seg": 0.19139, "aux.acc_seg": 67.76541, "loss": 0.60383, "time": 0.73254} +{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.39611, "decode.acc_seg": 67.87906, "aux.loss_seg": 0.18995, "aux.acc_seg": 66.08532, "loss": 0.58606, "time": 0.73511} +{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 26851, "data_time": 0.00741, "decode.loss_seg": 0.3991, "decode.acc_seg": 68.51179, "aux.loss_seg": 0.19078, "aux.acc_seg": 66.75323, "loss": 0.58989, "time": 0.73652} +{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.42499, "decode.acc_seg": 67.90248, "aux.loss_seg": 0.1975, "aux.acc_seg": 66.46928, "loss": 0.62249, "time": 0.72869} +{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.37874, "decode.acc_seg": 68.50826, "aux.loss_seg": 0.18498, "aux.acc_seg": 66.44645, "loss": 0.56372, "time": 0.72826} +{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 26851, "data_time": 0.00713, "decode.loss_seg": 0.37867, "decode.acc_seg": 69.11116, "aux.loss_seg": 0.18159, "aux.acc_seg": 67.42353, "loss": 0.56026, "time": 0.7262} +{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 26851, "data_time": 0.24789, "decode.loss_seg": 0.36572, "decode.acc_seg": 68.95398, "aux.loss_seg": 0.17368, "aux.acc_seg": 67.2615, "loss": 0.5394, "time": 0.9692} +{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.36748, "decode.acc_seg": 69.78831, "aux.loss_seg": 0.17625, "aux.acc_seg": 68.23338, "loss": 0.54373, "time": 0.73419} +{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.37667, "decode.acc_seg": 69.56057, "aux.loss_seg": 0.18031, "aux.acc_seg": 67.77615, "loss": 0.55698, "time": 0.73419} +{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.35889, "decode.acc_seg": 69.03186, "aux.loss_seg": 0.17336, "aux.acc_seg": 67.20942, "loss": 0.53225, "time": 0.73667} +{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.37249, "decode.acc_seg": 69.31195, "aux.loss_seg": 0.18045, "aux.acc_seg": 67.44177, "loss": 0.55294, "time": 0.735} +{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.36686, "decode.acc_seg": 69.44899, "aux.loss_seg": 0.17526, "aux.acc_seg": 67.98488, "loss": 0.54212, "time": 0.73532} +{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.36831, "decode.acc_seg": 70.36283, "aux.loss_seg": 0.17438, "aux.acc_seg": 68.95481, "loss": 0.54269, "time": 0.73248} +{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.37209, "decode.acc_seg": 68.29263, "aux.loss_seg": 0.18122, "aux.acc_seg": 66.39502, "loss": 0.55331, "time": 0.72893} +{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.39696, "decode.acc_seg": 67.91474, "aux.loss_seg": 0.1899, "aux.acc_seg": 66.24057, "loss": 0.58686, "time": 0.72602} +{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.3998, "decode.acc_seg": 68.86623, "aux.loss_seg": 0.19078, "aux.acc_seg": 66.99974, "loss": 0.59058, "time": 0.73291} +{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.35898, "decode.acc_seg": 69.17691, "aux.loss_seg": 0.17086, "aux.acc_seg": 67.58713, "loss": 0.52984, "time": 0.73273} +{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.35549, "decode.acc_seg": 68.96802, "aux.loss_seg": 0.17311, "aux.acc_seg": 67.30065, "loss": 0.52861, "time": 0.73751} +{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.37513, "decode.acc_seg": 70.67156, "aux.loss_seg": 0.17752, "aux.acc_seg": 68.88262, "loss": 0.55265, "time": 0.73448} +{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.37774, "decode.acc_seg": 68.30025, "aux.loss_seg": 0.18033, "aux.acc_seg": 66.47714, "loss": 0.55808, "time": 0.73161} +{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.39, "decode.acc_seg": 68.60839, "aux.loss_seg": 0.18583, "aux.acc_seg": 66.81879, "loss": 0.57584, "time": 0.72631} +{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.42284, "decode.acc_seg": 68.49379, "aux.loss_seg": 0.19991, "aux.acc_seg": 66.8126, "loss": 0.62275, "time": 0.7303} +{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.38563, "decode.acc_seg": 68.04099, "aux.loss_seg": 0.18367, "aux.acc_seg": 66.23252, "loss": 0.5693, "time": 0.73104} +{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.38016, "decode.acc_seg": 68.53263, "aux.loss_seg": 0.18185, "aux.acc_seg": 66.67623, "loss": 0.56201, "time": 0.73334} +{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.38815, "decode.acc_seg": 67.95799, "aux.loss_seg": 0.18347, "aux.acc_seg": 66.49255, "loss": 0.57162, "time": 0.73518} +{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.39267, "decode.acc_seg": 67.55844, "aux.loss_seg": 0.18389, "aux.acc_seg": 66.03327, "loss": 0.57656, "time": 0.74023} +{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.3994, "decode.acc_seg": 67.58741, "aux.loss_seg": 0.18661, "aux.acc_seg": 66.34011, "loss": 0.58601, "time": 0.7363} +{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.39516, "decode.acc_seg": 68.24566, "aux.loss_seg": 0.18435, "aux.acc_seg": 66.76113, "loss": 0.57951, "time": 0.73752} +{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.3974, "decode.acc_seg": 66.8988, "aux.loss_seg": 0.18816, "aux.acc_seg": 64.96854, "loss": 0.58556, "time": 0.72801} +{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.37949, "decode.acc_seg": 70.45706, "aux.loss_seg": 0.18235, "aux.acc_seg": 68.68855, "loss": 0.56184, "time": 0.72829} +{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.41764, "decode.acc_seg": 69.74878, "aux.loss_seg": 0.1949, "aux.acc_seg": 68.07546, "loss": 0.61254, "time": 0.72985} +{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 26851, "data_time": 0.0091, "decode.loss_seg": 0.38821, "decode.acc_seg": 67.00285, "aux.loss_seg": 0.18781, "aux.acc_seg": 65.08423, "loss": 0.57602, "time": 0.73109} +{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 26851, "data_time": 0.24986, "decode.loss_seg": 0.38317, "decode.acc_seg": 67.76673, "aux.loss_seg": 0.18162, "aux.acc_seg": 66.09083, "loss": 0.56479, "time": 0.97154} +{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.39421, "decode.acc_seg": 68.30103, "aux.loss_seg": 0.18699, "aux.acc_seg": 66.73158, "loss": 0.58119, "time": 0.73473} +{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.37708, "decode.acc_seg": 70.12538, "aux.loss_seg": 0.17933, "aux.acc_seg": 68.54295, "loss": 0.55641, "time": 0.73248} +{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.3708, "decode.acc_seg": 68.79959, "aux.loss_seg": 0.17932, "aux.acc_seg": 66.8569, "loss": 0.55012, "time": 0.73364} +{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.35617, "decode.acc_seg": 69.66926, "aux.loss_seg": 0.17125, "aux.acc_seg": 68.15811, "loss": 0.52742, "time": 0.73358} +{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.35971, "decode.acc_seg": 68.76916, "aux.loss_seg": 0.17373, "aux.acc_seg": 67.12126, "loss": 0.53343, "time": 0.73165} +{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.39329, "decode.acc_seg": 69.16617, "aux.loss_seg": 0.19117, "aux.acc_seg": 67.18104, "loss": 0.58446, "time": 0.73298} +{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.38713, "decode.acc_seg": 69.45404, "aux.loss_seg": 0.18589, "aux.acc_seg": 67.65155, "loss": 0.57303, "time": 0.73814} +{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.34844, "decode.acc_seg": 68.98856, "aux.loss_seg": 0.16864, "aux.acc_seg": 67.2615, "loss": 0.51709, "time": 0.73048} +{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.37365, "decode.acc_seg": 69.61973, "aux.loss_seg": 0.17454, "aux.acc_seg": 68.13516, "loss": 0.5482, "time": 0.7263} +{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.37635, "decode.acc_seg": 69.50152, "aux.loss_seg": 0.18352, "aux.acc_seg": 67.59941, "loss": 0.55987, "time": 0.72601} +{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.36742, "decode.acc_seg": 70.03428, "aux.loss_seg": 0.17506, "aux.acc_seg": 68.4241, "loss": 0.54248, "time": 0.73235} +{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.37533, "decode.acc_seg": 70.12331, "aux.loss_seg": 0.17983, "aux.acc_seg": 68.38248, "loss": 0.55515, "time": 0.73065} +{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.36434, "decode.acc_seg": 68.97268, "aux.loss_seg": 0.17545, "aux.acc_seg": 67.0933, "loss": 0.53979, "time": 0.72951} +{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.39784, "decode.acc_seg": 69.59247, "aux.loss_seg": 0.19367, "aux.acc_seg": 67.54754, "loss": 0.59151, "time": 0.7324} +{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.36874, "decode.acc_seg": 68.27387, "aux.loss_seg": 0.17787, "aux.acc_seg": 66.5506, "loss": 0.54662, "time": 0.73511} +{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.378, "decode.acc_seg": 68.68721, "aux.loss_seg": 0.17675, "aux.acc_seg": 67.23361, "loss": 0.55475, "time": 0.7371} +{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.37516, "decode.acc_seg": 68.25409, "aux.loss_seg": 0.18, "aux.acc_seg": 66.35525, "loss": 0.55516, "time": 0.72852} +{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.38161, "decode.acc_seg": 69.61242, "aux.loss_seg": 0.18113, "aux.acc_seg": 68.03692, "loss": 0.56274, "time": 0.72688} +{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.40012, "decode.acc_seg": 68.97399, "aux.loss_seg": 0.18688, "aux.acc_seg": 67.46129, "loss": 0.587, "time": 0.73045} +{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.37042, "decode.acc_seg": 68.74983, "aux.loss_seg": 0.17501, "aux.acc_seg": 67.16895, "loss": 0.54543, "time": 0.74229} +{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.39447, "decode.acc_seg": 68.28068, "aux.loss_seg": 0.1821, "aux.acc_seg": 67.09692, "loss": 0.57656, "time": 0.72885} +{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.38509, "decode.acc_seg": 69.74157, "aux.loss_seg": 0.18484, "aux.acc_seg": 68.14189, "loss": 0.56993, "time": 0.7264} +{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.38477, "decode.acc_seg": 68.53023, "aux.loss_seg": 0.18214, "aux.acc_seg": 67.19866, "loss": 0.56691, "time": 0.72686} +{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.38905, "decode.acc_seg": 68.14421, "aux.loss_seg": 0.1828, "aux.acc_seg": 66.66819, "loss": 0.57185, "time": 0.72851} +{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 26851, "data_time": 0.2439, "decode.loss_seg": 0.36598, "decode.acc_seg": 68.54876, "aux.loss_seg": 0.17862, "aux.acc_seg": 66.68224, "loss": 0.5446, "time": 0.96479} +{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.35823, "decode.acc_seg": 69.7216, "aux.loss_seg": 0.1752, "aux.acc_seg": 67.90451, "loss": 0.53343, "time": 0.7283} +{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.39299, "decode.acc_seg": 69.52915, "aux.loss_seg": 0.18653, "aux.acc_seg": 67.82818, "loss": 0.57952, "time": 0.73081} +{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.3639, "decode.acc_seg": 68.20298, "aux.loss_seg": 0.17663, "aux.acc_seg": 66.44869, "loss": 0.54053, "time": 0.73718} +{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.36125, "decode.acc_seg": 69.83423, "aux.loss_seg": 0.17578, "aux.acc_seg": 68.01284, "loss": 0.53703, "time": 0.73659} +{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.35318, "decode.acc_seg": 70.44746, "aux.loss_seg": 0.16908, "aux.acc_seg": 68.74984, "loss": 0.52226, "time": 0.7407} +{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.3602, "decode.acc_seg": 70.25207, "aux.loss_seg": 0.1752, "aux.acc_seg": 68.41157, "loss": 0.5354, "time": 0.73098} +{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.36157, "decode.acc_seg": 70.21828, "aux.loss_seg": 0.17808, "aux.acc_seg": 68.41412, "loss": 0.53966, "time": 0.72271} +{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.36926, "decode.acc_seg": 69.15963, "aux.loss_seg": 0.18147, "aux.acc_seg": 67.3118, "loss": 0.55073, "time": 0.72929} +{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.35875, "decode.acc_seg": 69.58836, "aux.loss_seg": 0.17198, "aux.acc_seg": 67.9976, "loss": 0.53074, "time": 0.72943} +{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.41281, "decode.acc_seg": 69.38735, "aux.loss_seg": 0.19277, "aux.acc_seg": 67.81751, "loss": 0.60559, "time": 0.73272} +{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.37938, "decode.acc_seg": 68.71472, "aux.loss_seg": 0.17778, "aux.acc_seg": 67.18102, "loss": 0.55716, "time": 0.7341} +{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.36942, "decode.acc_seg": 70.31798, "aux.loss_seg": 0.17395, "aux.acc_seg": 68.84876, "loss": 0.54336, "time": 0.73926} +{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.36087, "decode.acc_seg": 70.30314, "aux.loss_seg": 0.17269, "aux.acc_seg": 68.719, "loss": 0.53356, "time": 0.72983} +{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.37022, "decode.acc_seg": 69.04887, "aux.loss_seg": 0.17838, "aux.acc_seg": 67.17438, "loss": 0.5486, "time": 0.72713} +{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.34554, "decode.acc_seg": 70.05255, "aux.loss_seg": 0.16538, "aux.acc_seg": 68.3849, "loss": 0.51092, "time": 0.73102} +{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.36889, "decode.acc_seg": 69.13606, "aux.loss_seg": 0.17632, "aux.acc_seg": 67.44129, "loss": 0.54521, "time": 0.73299} +{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.36455, "decode.acc_seg": 68.90625, "aux.loss_seg": 0.17588, "aux.acc_seg": 67.08388, "loss": 0.54043, "time": 0.73121} +{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.36659, "decode.acc_seg": 70.26572, "aux.loss_seg": 0.17216, "aux.acc_seg": 68.84917, "loss": 0.53874, "time": 0.73628} +{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.38428, "decode.acc_seg": 68.02661, "aux.loss_seg": 0.18153, "aux.acc_seg": 66.39266, "loss": 0.56581, "time": 0.72892} +{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.37815, "decode.acc_seg": 69.4702, "aux.loss_seg": 0.17833, "aux.acc_seg": 67.90807, "loss": 0.55649, "time": 0.72529} +{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.35609, "decode.acc_seg": 68.99865, "aux.loss_seg": 0.17035, "aux.acc_seg": 67.4754, "loss": 0.52645, "time": 0.72713} +{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.3649, "decode.acc_seg": 67.96286, "aux.loss_seg": 0.17664, "aux.acc_seg": 66.27284, "loss": 0.54154, "time": 0.73014} +{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.37598, "decode.acc_seg": 68.18506, "aux.loss_seg": 0.17918, "aux.acc_seg": 66.55946, "loss": 0.55516, "time": 0.73468} +{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.38776, "decode.acc_seg": 67.3674, "aux.loss_seg": 0.18547, "aux.acc_seg": 65.51728, "loss": 0.57323, "time": 0.73449} +{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 26851, "data_time": 0.24824, "decode.loss_seg": 0.38268, "decode.acc_seg": 69.26288, "aux.loss_seg": 0.18134, "aux.acc_seg": 67.43106, "loss": 0.56402, "time": 0.97452} +{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.35221, "decode.acc_seg": 69.53385, "aux.loss_seg": 0.16987, "aux.acc_seg": 67.79807, "loss": 0.52208, "time": 0.73041} +{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.39099, "decode.acc_seg": 68.9099, "aux.loss_seg": 0.19008, "aux.acc_seg": 67.03305, "loss": 0.58107, "time": 0.73049} +{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.36428, "decode.acc_seg": 69.12173, "aux.loss_seg": 0.17834, "aux.acc_seg": 67.24455, "loss": 0.54262, "time": 0.72907} +{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.38464, "decode.acc_seg": 69.77695, "aux.loss_seg": 0.19075, "aux.acc_seg": 67.59137, "loss": 0.57539, "time": 0.73019} +{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.36025, "decode.acc_seg": 70.13804, "aux.loss_seg": 0.17237, "aux.acc_seg": 68.49164, "loss": 0.53262, "time": 0.7383} +{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.34032, "decode.acc_seg": 70.03863, "aux.loss_seg": 0.16654, "aux.acc_seg": 68.21321, "loss": 0.50686, "time": 0.73247} +{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.35444, "decode.acc_seg": 68.35701, "aux.loss_seg": 0.17055, "aux.acc_seg": 66.71126, "loss": 0.52499, "time": 0.73371} +{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.3536, "decode.acc_seg": 70.97623, "aux.loss_seg": 0.16913, "aux.acc_seg": 69.51309, "loss": 0.52273, "time": 0.73256} +{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.38702, "decode.acc_seg": 68.57674, "aux.loss_seg": 0.18446, "aux.acc_seg": 66.89127, "loss": 0.57147, "time": 0.72709} +{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.36257, "decode.acc_seg": 70.9905, "aux.loss_seg": 0.17748, "aux.acc_seg": 69.04131, "loss": 0.54005, "time": 0.7299} +{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.35393, "decode.acc_seg": 69.57368, "aux.loss_seg": 0.17451, "aux.acc_seg": 67.69659, "loss": 0.52843, "time": 0.7332} +{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.3775, "decode.acc_seg": 69.17563, "aux.loss_seg": 0.17896, "aux.acc_seg": 67.47115, "loss": 0.55647, "time": 0.73477} +{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.36869, "decode.acc_seg": 70.0712, "aux.loss_seg": 0.17505, "aux.acc_seg": 68.38692, "loss": 0.54373, "time": 0.73759} +{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.35898, "decode.acc_seg": 68.97182, "aux.loss_seg": 0.17232, "aux.acc_seg": 67.4165, "loss": 0.5313, "time": 0.73243} +{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.37678, "decode.acc_seg": 69.28677, "aux.loss_seg": 0.17892, "aux.acc_seg": 67.73168, "loss": 0.5557, "time": 0.73127} +{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.37172, "decode.acc_seg": 69.97687, "aux.loss_seg": 0.17616, "aux.acc_seg": 68.24786, "loss": 0.54787, "time": 0.73698} +{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.36346, "decode.acc_seg": 68.99719, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.52066, "loss": 0.53532, "time": 0.73078} +{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.37943, "decode.acc_seg": 66.93926, "aux.loss_seg": 0.18072, "aux.acc_seg": 65.40404, "loss": 0.56014, "time": 0.73347} +{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.38287, "decode.acc_seg": 67.65862, "aux.loss_seg": 0.18443, "aux.acc_seg": 65.74147, "loss": 0.56729, "time": 0.73427} +{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.37122, "decode.acc_seg": 68.975, "aux.loss_seg": 0.17772, "aux.acc_seg": 67.33385, "loss": 0.54894, "time": 0.73477} +{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.35213, "decode.acc_seg": 71.51882, "aux.loss_seg": 0.16766, "aux.acc_seg": 70.07563, "loss": 0.51979, "time": 0.73064} +{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.37992, "decode.acc_seg": 68.54555, "aux.loss_seg": 0.18013, "aux.acc_seg": 67.01853, "loss": 0.56004, "time": 0.72716} +{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.3525, "decode.acc_seg": 68.37413, "aux.loss_seg": 0.16942, "aux.acc_seg": 66.64291, "loss": 0.52193, "time": 0.72499} +{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.36171, "decode.acc_seg": 69.00462, "aux.loss_seg": 0.17513, "aux.acc_seg": 67.27788, "loss": 0.53685, "time": 0.72985} +{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 26851, "data_time": 0.24736, "decode.loss_seg": 0.35233, "decode.acc_seg": 69.69077, "aux.loss_seg": 0.16743, "aux.acc_seg": 68.0422, "loss": 0.51976, "time": 0.97075} +{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.35007, "decode.acc_seg": 71.07506, "aux.loss_seg": 0.1698, "aux.acc_seg": 69.26813, "loss": 0.51987, "time": 0.73185} +{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.35956, "decode.acc_seg": 70.19033, "aux.loss_seg": 0.17782, "aux.acc_seg": 68.24887, "loss": 0.53738, "time": 0.73108} +{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.38085, "decode.acc_seg": 68.748, "aux.loss_seg": 0.18211, "aux.acc_seg": 66.99141, "loss": 0.56296, "time": 0.73631} +{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.34438, "decode.acc_seg": 67.82389, "aux.loss_seg": 0.16749, "aux.acc_seg": 66.08453, "loss": 0.51188, "time": 0.74112} +{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.36028, "decode.acc_seg": 69.34041, "aux.loss_seg": 0.17652, "aux.acc_seg": 67.38541, "loss": 0.5368, "time": 0.73432} +{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.35312, "decode.acc_seg": 69.49579, "aux.loss_seg": 0.1726, "aux.acc_seg": 67.7638, "loss": 0.52571, "time": 0.732} +{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.36092, "decode.acc_seg": 69.59366, "aux.loss_seg": 0.17417, "aux.acc_seg": 67.92789, "loss": 0.53509, "time": 0.73084} +{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.36737, "decode.acc_seg": 69.37179, "aux.loss_seg": 0.17657, "aux.acc_seg": 67.47071, "loss": 0.54394, "time": 0.72671} +{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.36812, "decode.acc_seg": 69.92337, "aux.loss_seg": 0.17754, "aux.acc_seg": 68.22398, "loss": 0.54566, "time": 0.73018} +{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.35248, "decode.acc_seg": 68.10692, "aux.loss_seg": 0.17102, "aux.acc_seg": 66.37751, "loss": 0.5235, "time": 0.73615} +{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.36622, "decode.acc_seg": 68.29359, "aux.loss_seg": 0.17645, "aux.acc_seg": 66.5363, "loss": 0.54267, "time": 0.73404} +{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.36996, "decode.acc_seg": 69.26319, "aux.loss_seg": 0.17803, "aux.acc_seg": 67.55213, "loss": 0.54799, "time": 0.7312} +{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.37922, "decode.acc_seg": 69.52993, "aux.loss_seg": 0.18176, "aux.acc_seg": 67.84873, "loss": 0.56097, "time": 0.7365} +{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.35548, "decode.acc_seg": 69.46318, "aux.loss_seg": 0.16978, "aux.acc_seg": 67.76489, "loss": 0.52526, "time": 0.73494} +{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.37676, "decode.acc_seg": 69.67414, "aux.loss_seg": 0.17909, "aux.acc_seg": 68.17475, "loss": 0.55585, "time": 0.73435} +{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.35359, "decode.acc_seg": 69.66311, "aux.loss_seg": 0.16621, "aux.acc_seg": 68.29415, "loss": 0.5198, "time": 0.74238} +{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.35955, "decode.acc_seg": 70.07469, "aux.loss_seg": 0.17247, "aux.acc_seg": 68.40637, "loss": 0.53202, "time": 0.73082} +{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.35477, "decode.acc_seg": 68.98505, "aux.loss_seg": 0.17097, "aux.acc_seg": 67.26795, "loss": 0.52574, "time": 0.73262} +{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.37347, "decode.acc_seg": 66.99026, "aux.loss_seg": 0.17683, "aux.acc_seg": 65.55666, "loss": 0.55029, "time": 0.72588} +{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.35126, "decode.acc_seg": 70.21453, "aux.loss_seg": 0.17104, "aux.acc_seg": 68.53378, "loss": 0.52231, "time": 0.72891} +{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.33902, "decode.acc_seg": 71.084, "aux.loss_seg": 0.16624, "aux.acc_seg": 69.26973, "loss": 0.50526, "time": 0.72635} +{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.33207, "decode.acc_seg": 70.31344, "aux.loss_seg": 0.15883, "aux.acc_seg": 68.80103, "loss": 0.4909, "time": 0.73257} +{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.35926, "decode.acc_seg": 68.90312, "aux.loss_seg": 0.17048, "aux.acc_seg": 67.45871, "loss": 0.52975, "time": 0.73799} +{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.36496, "decode.acc_seg": 69.21353, "aux.loss_seg": 0.17383, "aux.acc_seg": 67.68313, "loss": 0.53879, "time": 0.7329} +{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.3966, "decode.acc_seg": 67.99414, "aux.loss_seg": 0.18751, "aux.acc_seg": 66.28365, "loss": 0.58411, "time": 0.73159} +{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 26851, "data_time": 0.25092, "decode.loss_seg": 0.34923, "decode.acc_seg": 70.04183, "aux.loss_seg": 0.16815, "aux.acc_seg": 68.31168, "loss": 0.51738, "time": 0.97362} +{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.33844, "decode.acc_seg": 69.76665, "aux.loss_seg": 0.16514, "aux.acc_seg": 68.15605, "loss": 0.50359, "time": 0.7293} +{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.36208, "decode.acc_seg": 70.08981, "aux.loss_seg": 0.1763, "aux.acc_seg": 68.17817, "loss": 0.53837, "time": 0.72917} +{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 26851, "data_time": 0.00944, "decode.loss_seg": 0.33694, "decode.acc_seg": 70.3854, "aux.loss_seg": 0.16504, "aux.acc_seg": 68.60759, "loss": 0.50198, "time": 0.73279} +{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 26851, "data_time": 0.00903, "decode.loss_seg": 0.35215, "decode.acc_seg": 69.97178, "aux.loss_seg": 0.171, "aux.acc_seg": 68.32618, "loss": 0.52314, "time": 0.73385} +{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.34466, "decode.acc_seg": 69.35794, "aux.loss_seg": 0.17119, "aux.acc_seg": 67.20999, "loss": 0.51586, "time": 0.73514} +{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.34803, "decode.acc_seg": 69.30206, "aux.loss_seg": 0.16932, "aux.acc_seg": 67.47668, "loss": 0.51734, "time": 0.73903} +{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.35616, "decode.acc_seg": 69.17208, "aux.loss_seg": 0.169, "aux.acc_seg": 67.51744, "loss": 0.52517, "time": 0.73254} +{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 26851, "data_time": 0.00919, "decode.loss_seg": 0.35667, "decode.acc_seg": 68.8473, "aux.loss_seg": 0.17518, "aux.acc_seg": 66.73959, "loss": 0.53185, "time": 0.73565} +{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.36856, "decode.acc_seg": 70.6692, "aux.loss_seg": 0.17339, "aux.acc_seg": 68.84385, "loss": 0.54195, "time": 0.73235} +{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.35743, "decode.acc_seg": 71.01404, "aux.loss_seg": 0.17722, "aux.acc_seg": 69.12415, "loss": 0.53465, "time": 0.73776} +{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.34583, "decode.acc_seg": 69.407, "aux.loss_seg": 0.16738, "aux.acc_seg": 67.58087, "loss": 0.5132, "time": 0.72922} +{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.32825, "decode.acc_seg": 70.2193, "aux.loss_seg": 0.15886, "aux.acc_seg": 68.63211, "loss": 0.48711, "time": 0.72395} +{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.3452, "decode.acc_seg": 69.88232, "aux.loss_seg": 0.16529, "aux.acc_seg": 68.36936, "loss": 0.51049, "time": 0.73426} +{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.37813, "decode.acc_seg": 68.96977, "aux.loss_seg": 0.17879, "aux.acc_seg": 67.51718, "loss": 0.55692, "time": 0.73984} +{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.34613, "decode.acc_seg": 67.92808, "aux.loss_seg": 0.16695, "aux.acc_seg": 66.42997, "loss": 0.51308, "time": 0.73972} +{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.35641, "decode.acc_seg": 69.48062, "aux.loss_seg": 0.17111, "aux.acc_seg": 67.74112, "loss": 0.52752, "time": 0.73893} +{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.34591, "decode.acc_seg": 70.51098, "aux.loss_seg": 0.16637, "aux.acc_seg": 68.86364, "loss": 0.51228, "time": 0.73471} +{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 26851, "data_time": 0.00888, "decode.loss_seg": 0.36426, "decode.acc_seg": 69.20217, "aux.loss_seg": 0.17427, "aux.acc_seg": 67.33069, "loss": 0.53853, "time": 0.73668} +{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 26851, "data_time": 0.00916, "decode.loss_seg": 0.32723, "decode.acc_seg": 69.78461, "aux.loss_seg": 0.15934, "aux.acc_seg": 68.136, "loss": 0.48656, "time": 0.73155} +{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.36306, "decode.acc_seg": 69.49658, "aux.loss_seg": 0.17247, "aux.acc_seg": 68.09572, "loss": 0.53553, "time": 0.73052} +{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.35782, "decode.acc_seg": 69.42475, "aux.loss_seg": 0.17123, "aux.acc_seg": 67.87799, "loss": 0.52905, "time": 0.7362} +{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.35255, "decode.acc_seg": 70.33243, "aux.loss_seg": 0.16723, "aux.acc_seg": 68.82334, "loss": 0.51979, "time": 0.73296} +{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.36699, "decode.acc_seg": 68.83835, "aux.loss_seg": 0.17524, "aux.acc_seg": 67.16011, "loss": 0.54223, "time": 0.73091} +{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 26851, "data_time": 0.00903, "decode.loss_seg": 0.34095, "decode.acc_seg": 70.50215, "aux.loss_seg": 0.16877, "aux.acc_seg": 68.48091, "loss": 0.50972, "time": 0.73071} +{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 26851, "data_time": 0.24799, "decode.loss_seg": 0.36023, "decode.acc_seg": 70.49984, "aux.loss_seg": 0.1744, "aux.acc_seg": 68.62797, "loss": 0.53463, "time": 0.96887} +{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.33802, "decode.acc_seg": 68.40668, "aux.loss_seg": 0.16347, "aux.acc_seg": 66.68956, "loss": 0.50148, "time": 0.73119} +{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.3228, "decode.acc_seg": 71.29044, "aux.loss_seg": 0.15754, "aux.acc_seg": 69.59675, "loss": 0.48034, "time": 0.72849} +{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.3249, "decode.acc_seg": 69.77118, "aux.loss_seg": 0.16041, "aux.acc_seg": 67.87073, "loss": 0.48531, "time": 0.73326} +{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.33149, "decode.acc_seg": 69.86262, "aux.loss_seg": 0.16216, "aux.acc_seg": 68.05913, "loss": 0.49365, "time": 0.7331} +{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.33019, "decode.acc_seg": 70.12985, "aux.loss_seg": 0.1608, "aux.acc_seg": 68.55417, "loss": 0.49099, "time": 0.73164} +{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.34157, "decode.acc_seg": 70.13398, "aux.loss_seg": 0.16413, "aux.acc_seg": 68.63648, "loss": 0.50569, "time": 0.7351} +{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.3428, "decode.acc_seg": 69.01559, "aux.loss_seg": 0.16704, "aux.acc_seg": 67.24846, "loss": 0.50983, "time": 0.73734} +{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.35142, "decode.acc_seg": 70.02489, "aux.loss_seg": 0.16823, "aux.acc_seg": 68.33217, "loss": 0.51965, "time": 0.73475} +{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.34914, "decode.acc_seg": 68.85029, "aux.loss_seg": 0.16872, "aux.acc_seg": 67.23037, "loss": 0.51786, "time": 0.73216} +{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.35577, "decode.acc_seg": 70.16726, "aux.loss_seg": 0.17176, "aux.acc_seg": 68.48597, "loss": 0.52752, "time": 0.73665} +{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.36491, "decode.acc_seg": 69.86902, "aux.loss_seg": 0.17799, "aux.acc_seg": 67.89274, "loss": 0.5429, "time": 0.72729} +{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.36315, "decode.acc_seg": 69.3033, "aux.loss_seg": 0.17467, "aux.acc_seg": 67.5003, "loss": 0.53783, "time": 0.73184} +{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.35533, "decode.acc_seg": 69.19673, "aux.loss_seg": 0.17046, "aux.acc_seg": 67.65063, "loss": 0.52579, "time": 0.72877} +{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.34662, "decode.acc_seg": 68.8545, "aux.loss_seg": 0.16587, "aux.acc_seg": 67.14727, "loss": 0.51249, "time": 0.73731} +{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.35764, "decode.acc_seg": 69.71253, "aux.loss_seg": 0.17155, "aux.acc_seg": 67.98045, "loss": 0.52919, "time": 0.73156} +{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.35266, "decode.acc_seg": 70.28199, "aux.loss_seg": 0.17058, "aux.acc_seg": 68.68695, "loss": 0.52324, "time": 0.73247} +{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.35923, "decode.acc_seg": 68.98701, "aux.loss_seg": 0.17157, "aux.acc_seg": 67.28322, "loss": 0.5308, "time": 0.72958} +{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.34681, "decode.acc_seg": 69.10206, "aux.loss_seg": 0.16476, "aux.acc_seg": 67.25908, "loss": 0.51157, "time": 0.72538} +{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 26851, "data_time": 0.00904, "decode.loss_seg": 0.35279, "decode.acc_seg": 69.69232, "aux.loss_seg": 0.17025, "aux.acc_seg": 67.89193, "loss": 0.52304, "time": 0.73236} +{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.34316, "decode.acc_seg": 69.90774, "aux.loss_seg": 0.16455, "aux.acc_seg": 68.13044, "loss": 0.50771, "time": 0.73439} +{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.34685, "decode.acc_seg": 70.79071, "aux.loss_seg": 0.16961, "aux.acc_seg": 68.89746, "loss": 0.51645, "time": 0.73033} +{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.36831, "decode.acc_seg": 68.85647, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.16439, "loss": 0.54285, "time": 0.73458} +{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.36724, "decode.acc_seg": 70.06501, "aux.loss_seg": 0.17127, "aux.acc_seg": 68.57341, "loss": 0.53851, "time": 0.73037} +{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.34159, "decode.acc_seg": 69.46506, "aux.loss_seg": 0.16821, "aux.acc_seg": 67.52407, "loss": 0.50979, "time": 0.7341} +{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 26851, "data_time": 0.24926, "decode.loss_seg": 0.38189, "decode.acc_seg": 68.68764, "aux.loss_seg": 0.18264, "aux.acc_seg": 66.91406, "loss": 0.56453, "time": 0.97121} +{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.33818, "decode.acc_seg": 69.50302, "aux.loss_seg": 0.1625, "aux.acc_seg": 67.93519, "loss": 0.50068, "time": 0.72305} +{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.34133, "decode.acc_seg": 69.97512, "aux.loss_seg": 0.16611, "aux.acc_seg": 68.14801, "loss": 0.50744, "time": 0.72606} +{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.34937, "decode.acc_seg": 69.512, "aux.loss_seg": 0.1705, "aux.acc_seg": 67.54282, "loss": 0.51988, "time": 0.72748} +{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.3629, "decode.acc_seg": 69.06562, "aux.loss_seg": 0.1733, "aux.acc_seg": 67.38328, "loss": 0.5362, "time": 0.73322} +{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.33347, "decode.acc_seg": 68.18883, "aux.loss_seg": 0.16086, "aux.acc_seg": 66.62212, "loss": 0.49433, "time": 0.73431} +{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.32566, "decode.acc_seg": 68.66213, "aux.loss_seg": 0.15924, "aux.acc_seg": 67.05338, "loss": 0.4849, "time": 0.73027} +{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.33965, "decode.acc_seg": 71.32977, "aux.loss_seg": 0.16456, "aux.acc_seg": 69.51731, "loss": 0.5042, "time": 0.73122} +{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.34663, "decode.acc_seg": 69.90446, "aux.loss_seg": 0.16635, "aux.acc_seg": 68.36566, "loss": 0.51298, "time": 0.73148} +{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.33048, "decode.acc_seg": 69.84648, "aux.loss_seg": 0.1597, "aux.acc_seg": 68.23427, "loss": 0.49018, "time": 0.731} +{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.34977, "decode.acc_seg": 70.10885, "aux.loss_seg": 0.16989, "aux.acc_seg": 68.30407, "loss": 0.51966, "time": 0.73282} +{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.33525, "decode.acc_seg": 70.28525, "aux.loss_seg": 0.16342, "aux.acc_seg": 68.43891, "loss": 0.49867, "time": 0.73139} +{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.33374, "decode.acc_seg": 69.78925, "aux.loss_seg": 0.16181, "aux.acc_seg": 68.11755, "loss": 0.49555, "time": 0.72717} +{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.35493, "decode.acc_seg": 69.6226, "aux.loss_seg": 0.17146, "aux.acc_seg": 67.93966, "loss": 0.52638, "time": 0.72732} +{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.35032, "decode.acc_seg": 68.59453, "aux.loss_seg": 0.16866, "aux.acc_seg": 67.14258, "loss": 0.51898, "time": 0.72812} +{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.34059, "decode.acc_seg": 71.23093, "aux.loss_seg": 0.164, "aux.acc_seg": 69.43133, "loss": 0.50459, "time": 0.73049} +{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 26851, "data_time": 0.0092, "decode.loss_seg": 0.33887, "decode.acc_seg": 70.596, "aux.loss_seg": 0.16312, "aux.acc_seg": 69.08582, "loss": 0.50199, "time": 0.74172} +{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.34523, "decode.acc_seg": 70.60633, "aux.loss_seg": 0.1654, "aux.acc_seg": 69.05981, "loss": 0.51063, "time": 0.73065} +{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.31506, "decode.acc_seg": 70.74603, "aux.loss_seg": 0.15372, "aux.acc_seg": 69.00867, "loss": 0.46878, "time": 0.72828} +{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.32598, "decode.acc_seg": 68.79992, "aux.loss_seg": 0.15698, "aux.acc_seg": 67.19334, "loss": 0.48296, "time": 0.7258} +{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.36116, "decode.acc_seg": 70.21438, "aux.loss_seg": 0.17572, "aux.acc_seg": 68.3322, "loss": 0.53689, "time": 0.73082} +{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.33277, "decode.acc_seg": 69.32047, "aux.loss_seg": 0.16274, "aux.acc_seg": 67.50923, "loss": 0.49551, "time": 0.72982} +{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.34679, "decode.acc_seg": 69.99966, "aux.loss_seg": 0.16687, "aux.acc_seg": 68.35137, "loss": 0.51366, "time": 0.73008} +{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.35043, "decode.acc_seg": 69.30429, "aux.loss_seg": 0.1679, "aux.acc_seg": 67.68041, "loss": 0.51833, "time": 0.7358} +{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.33585, "decode.acc_seg": 69.36224, "aux.loss_seg": 0.16351, "aux.acc_seg": 67.6465, "loss": 0.49936, "time": 0.72835} +{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 26851, "data_time": 0.25093, "decode.loss_seg": 0.34704, "decode.acc_seg": 69.90435, "aux.loss_seg": 0.16736, "aux.acc_seg": 68.3112, "loss": 0.5144, "time": 0.97081} +{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.33399, "decode.acc_seg": 70.07588, "aux.loss_seg": 0.16268, "aux.acc_seg": 68.20179, "loss": 0.49667, "time": 0.72637} +{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 26851, "data_time": 0.0093, "decode.loss_seg": 0.34365, "decode.acc_seg": 70.77893, "aux.loss_seg": 0.16674, "aux.acc_seg": 69.01809, "loss": 0.5104, "time": 0.73114} +{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.35178, "decode.acc_seg": 70.09979, "aux.loss_seg": 0.17199, "aux.acc_seg": 68.10264, "loss": 0.52377, "time": 0.73629} +{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.34209, "decode.acc_seg": 69.55503, "aux.loss_seg": 0.16627, "aux.acc_seg": 67.62376, "loss": 0.50836, "time": 0.72896} +{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.35726, "decode.acc_seg": 70.82554, "aux.loss_seg": 0.17593, "aux.acc_seg": 69.02564, "loss": 0.53319, "time": 0.73072} +{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.32922, "decode.acc_seg": 70.75591, "aux.loss_seg": 0.15932, "aux.acc_seg": 69.26967, "loss": 0.48854, "time": 0.73393} +{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.32121, "decode.acc_seg": 69.73681, "aux.loss_seg": 0.1565, "aux.acc_seg": 68.10966, "loss": 0.47771, "time": 0.73162} +{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.32986, "decode.acc_seg": 68.32846, "aux.loss_seg": 0.16624, "aux.acc_seg": 66.42087, "loss": 0.4961, "time": 0.73357} +{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.31927, "decode.acc_seg": 70.09227, "aux.loss_seg": 0.15776, "aux.acc_seg": 68.2018, "loss": 0.47703, "time": 0.73321} +{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.3443, "decode.acc_seg": 69.97665, "aux.loss_seg": 0.16823, "aux.acc_seg": 68.07824, "loss": 0.51252, "time": 0.73329} +{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.35144, "decode.acc_seg": 70.62623, "aux.loss_seg": 0.16732, "aux.acc_seg": 69.06027, "loss": 0.51876, "time": 0.74217} +{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.35022, "decode.acc_seg": 70.04657, "aux.loss_seg": 0.16758, "aux.acc_seg": 68.44328, "loss": 0.5178, "time": 0.72632} +{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.32634, "decode.acc_seg": 69.36943, "aux.loss_seg": 0.15826, "aux.acc_seg": 67.83845, "loss": 0.4846, "time": 0.72952} +{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.34186, "decode.acc_seg": 71.35423, "aux.loss_seg": 0.16437, "aux.acc_seg": 69.65351, "loss": 0.50623, "time": 0.72747} +{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.3419, "decode.acc_seg": 70.73919, "aux.loss_seg": 0.16833, "aux.acc_seg": 68.71172, "loss": 0.51023, "time": 0.7374} +{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.34537, "decode.acc_seg": 69.14696, "aux.loss_seg": 0.16646, "aux.acc_seg": 67.42687, "loss": 0.51184, "time": 0.73342} +{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.34323, "decode.acc_seg": 71.36801, "aux.loss_seg": 0.16727, "aux.acc_seg": 69.60359, "loss": 0.5105, "time": 0.73926} +{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.34857, "decode.acc_seg": 70.77872, "aux.loss_seg": 0.17072, "aux.acc_seg": 68.91005, "loss": 0.51928, "time": 0.72957} +{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.35541, "decode.acc_seg": 70.51047, "aux.loss_seg": 0.1697, "aux.acc_seg": 68.92825, "loss": 0.52512, "time": 0.73291} +{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.36516, "decode.acc_seg": 68.80951, "aux.loss_seg": 0.17555, "aux.acc_seg": 67.02936, "loss": 0.54071, "time": 0.73357} +{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.33407, "decode.acc_seg": 70.24414, "aux.loss_seg": 0.15975, "aux.acc_seg": 68.71579, "loss": 0.49381, "time": 0.73566} +{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.33224, "decode.acc_seg": 69.65036, "aux.loss_seg": 0.16112, "aux.acc_seg": 67.79927, "loss": 0.49336, "time": 0.7385} +{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.34318, "decode.acc_seg": 69.5554, "aux.loss_seg": 0.16521, "aux.acc_seg": 68.06237, "loss": 0.50839, "time": 0.73335} +{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.34019, "decode.acc_seg": 69.65372, "aux.loss_seg": 0.1676, "aux.acc_seg": 67.8557, "loss": 0.50779, "time": 0.73458} +{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.33303, "decode.acc_seg": 68.78482, "aux.loss_seg": 0.16025, "aux.acc_seg": 67.11799, "loss": 0.49328, "time": 0.72922} +{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 26851, "data_time": 0.24804, "decode.loss_seg": 0.33522, "decode.acc_seg": 70.09704, "aux.loss_seg": 0.16269, "aux.acc_seg": 68.36729, "loss": 0.4979, "time": 0.9682} +{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.33612, "decode.acc_seg": 70.69176, "aux.loss_seg": 0.16297, "aux.acc_seg": 68.98035, "loss": 0.4991, "time": 0.72021} +{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.34577, "decode.acc_seg": 70.47362, "aux.loss_seg": 0.16623, "aux.acc_seg": 68.91284, "loss": 0.512, "time": 0.71657} +{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 26851, "data_time": 0.0072, "decode.loss_seg": 0.353, "decode.acc_seg": 70.5016, "aux.loss_seg": 0.17208, "aux.acc_seg": 68.61481, "loss": 0.52508, "time": 0.71708} +{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.33242, "decode.acc_seg": 70.9119, "aux.loss_seg": 0.16203, "aux.acc_seg": 69.16574, "loss": 0.49445, "time": 0.718} +{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.3488, "decode.acc_seg": 70.73702, "aux.loss_seg": 0.17056, "aux.acc_seg": 69.00857, "loss": 0.51936, "time": 0.71897} +{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.32968, "decode.acc_seg": 69.31314, "aux.loss_seg": 0.16206, "aux.acc_seg": 67.44083, "loss": 0.49174, "time": 0.71814} +{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.35205, "decode.acc_seg": 69.49616, "aux.loss_seg": 0.16951, "aux.acc_seg": 67.75857, "loss": 0.52156, "time": 0.72114} +{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.34481, "decode.acc_seg": 69.65291, "aux.loss_seg": 0.16966, "aux.acc_seg": 67.53303, "loss": 0.51447, "time": 0.73486} +{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.3215, "decode.acc_seg": 71.63956, "aux.loss_seg": 0.15777, "aux.acc_seg": 69.90042, "loss": 0.47928, "time": 0.72801} +{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.34489, "decode.acc_seg": 69.35751, "aux.loss_seg": 0.1656, "aux.acc_seg": 67.84429, "loss": 0.51049, "time": 0.72211} +{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 26851, "data_time": 0.00747, "decode.loss_seg": 0.33802, "decode.acc_seg": 69.35088, "aux.loss_seg": 0.16432, "aux.acc_seg": 67.64299, "loss": 0.50234, "time": 0.72151} +{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.34451, "decode.acc_seg": 69.98931, "aux.loss_seg": 0.16598, "aux.acc_seg": 68.25194, "loss": 0.51049, "time": 0.72046} +{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 26851, "data_time": 0.00723, "decode.loss_seg": 0.32187, "decode.acc_seg": 70.52959, "aux.loss_seg": 0.16097, "aux.acc_seg": 68.65835, "loss": 0.48284, "time": 0.72023} +{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.3323, "decode.acc_seg": 70.86422, "aux.loss_seg": 0.16317, "aux.acc_seg": 68.87359, "loss": 0.49547, "time": 0.71526} +{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 26851, "data_time": 0.00747, "decode.loss_seg": 0.34091, "decode.acc_seg": 70.04285, "aux.loss_seg": 0.16531, "aux.acc_seg": 68.29867, "loss": 0.50623, "time": 0.71496} +{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.32782, "decode.acc_seg": 70.26482, "aux.loss_seg": 0.16069, "aux.acc_seg": 68.48935, "loss": 0.48851, "time": 0.71676} +{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.32573, "decode.acc_seg": 67.79871, "aux.loss_seg": 0.15897, "aux.acc_seg": 66.23773, "loss": 0.4847, "time": 0.7212} +{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.32683, "decode.acc_seg": 69.79516, "aux.loss_seg": 0.15945, "aux.acc_seg": 67.94849, "loss": 0.48628, "time": 0.72556} +{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.34745, "decode.acc_seg": 69.56904, "aux.loss_seg": 0.16962, "aux.acc_seg": 67.80295, "loss": 0.51707, "time": 0.72394} +{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.3578, "decode.acc_seg": 71.30972, "aux.loss_seg": 0.17386, "aux.acc_seg": 69.60308, "loss": 0.53166, "time": 0.72325} +{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.33135, "decode.acc_seg": 70.46374, "aux.loss_seg": 0.15923, "aux.acc_seg": 68.8689, "loss": 0.49059, "time": 0.71762} +{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.34115, "decode.acc_seg": 70.12103, "aux.loss_seg": 0.16337, "aux.acc_seg": 68.40319, "loss": 0.50452, "time": 0.72179} +{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.35231, "decode.acc_seg": 68.81222, "aux.loss_seg": 0.17048, "aux.acc_seg": 67.13152, "loss": 0.52279, "time": 0.71633} +{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.34659, "decode.acc_seg": 69.2619, "aux.loss_seg": 0.16862, "aux.acc_seg": 67.39699, "loss": 0.5152, "time": 0.72467} +{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 26851, "data_time": 0.23818, "decode.loss_seg": 0.32797, "decode.acc_seg": 70.39407, "aux.loss_seg": 0.15942, "aux.acc_seg": 68.62166, "loss": 0.48739, "time": 0.95285} +{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.32199, "decode.acc_seg": 69.99533, "aux.loss_seg": 0.15879, "aux.acc_seg": 68.12382, "loss": 0.48078, "time": 0.72272} +{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.32507, "decode.acc_seg": 70.29992, "aux.loss_seg": 0.15771, "aux.acc_seg": 68.5146, "loss": 0.48278, "time": 0.72853} +{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.31693, "decode.acc_seg": 70.11559, "aux.loss_seg": 0.15372, "aux.acc_seg": 68.48763, "loss": 0.47065, "time": 0.73638} +{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.31498, "decode.acc_seg": 69.50589, "aux.loss_seg": 0.15633, "aux.acc_seg": 67.69675, "loss": 0.47132, "time": 0.72964} +{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.32266, "decode.acc_seg": 70.08941, "aux.loss_seg": 0.15838, "aux.acc_seg": 68.45243, "loss": 0.48104, "time": 0.72327} +{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.34552, "decode.acc_seg": 71.08706, "aux.loss_seg": 0.16691, "aux.acc_seg": 69.32276, "loss": 0.51242, "time": 0.73288} +{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.31518, "decode.acc_seg": 71.36554, "aux.loss_seg": 0.15468, "aux.acc_seg": 69.55892, "loss": 0.46985, "time": 0.732} +{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 26851, "data_time": 0.00714, "decode.loss_seg": 0.33865, "decode.acc_seg": 70.02031, "aux.loss_seg": 0.1643, "aux.acc_seg": 68.37449, "loss": 0.50294, "time": 0.72688} +{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.33236, "decode.acc_seg": 69.54685, "aux.loss_seg": 0.16119, "aux.acc_seg": 67.8619, "loss": 0.49355, "time": 0.72217} +{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.32695, "decode.acc_seg": 70.69782, "aux.loss_seg": 0.16335, "aux.acc_seg": 68.70545, "loss": 0.4903, "time": 0.72115} +{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 26851, "data_time": 0.00749, "decode.loss_seg": 0.32872, "decode.acc_seg": 71.20184, "aux.loss_seg": 0.16152, "aux.acc_seg": 69.43194, "loss": 0.49024, "time": 0.72358} +{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.32798, "decode.acc_seg": 70.37651, "aux.loss_seg": 0.16076, "aux.acc_seg": 68.49575, "loss": 0.48874, "time": 0.72536} +{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.32768, "decode.acc_seg": 70.93847, "aux.loss_seg": 0.16151, "aux.acc_seg": 68.88047, "loss": 0.48919, "time": 0.72426} +{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.33729, "decode.acc_seg": 69.84486, "aux.loss_seg": 0.16254, "aux.acc_seg": 68.18041, "loss": 0.49983, "time": 0.71855} +{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.33208, "decode.acc_seg": 70.51592, "aux.loss_seg": 0.16135, "aux.acc_seg": 68.88318, "loss": 0.49343, "time": 0.71535} +{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.34113, "decode.acc_seg": 70.82031, "aux.loss_seg": 0.16349, "aux.acc_seg": 69.36824, "loss": 0.50462, "time": 0.71965} +{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.35454, "decode.acc_seg": 70.01931, "aux.loss_seg": 0.16964, "aux.acc_seg": 68.48084, "loss": 0.52418, "time": 0.7251} +{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 26851, "data_time": 0.00712, "decode.loss_seg": 0.34933, "decode.acc_seg": 70.72859, "aux.loss_seg": 0.17053, "aux.acc_seg": 68.87144, "loss": 0.51987, "time": 0.72307} +{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.34046, "decode.acc_seg": 69.08804, "aux.loss_seg": 0.1661, "aux.acc_seg": 67.31938, "loss": 0.50656, "time": 0.72238} +{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.32315, "decode.acc_seg": 69.84926, "aux.loss_seg": 0.15741, "aux.acc_seg": 68.17902, "loss": 0.48055, "time": 0.72061} +{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.32141, "decode.acc_seg": 71.34241, "aux.loss_seg": 0.15711, "aux.acc_seg": 69.61063, "loss": 0.47852, "time": 0.73237} +{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 26851, "data_time": 0.00693, "decode.loss_seg": 0.33047, "decode.acc_seg": 71.20788, "aux.loss_seg": 0.16259, "aux.acc_seg": 69.56961, "loss": 0.49305, "time": 0.72701} +{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.3245, "decode.acc_seg": 70.87178, "aux.loss_seg": 0.15983, "aux.acc_seg": 69.14435, "loss": 0.48433, "time": 0.71495} +{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.31506, "decode.acc_seg": 70.63589, "aux.loss_seg": 0.15532, "aux.acc_seg": 68.99348, "loss": 0.47038, "time": 0.71715} +{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 26851, "data_time": 0.21642, "decode.loss_seg": 0.33435, "decode.acc_seg": 69.64734, "aux.loss_seg": 0.16349, "aux.acc_seg": 67.82209, "loss": 0.49784, "time": 0.93241} +{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.32445, "decode.acc_seg": 70.25872, "aux.loss_seg": 0.1617, "aux.acc_seg": 68.30697, "loss": 0.48615, "time": 0.7192} +{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.33117, "decode.acc_seg": 70.20071, "aux.loss_seg": 0.1634, "aux.acc_seg": 68.3295, "loss": 0.49457, "time": 0.71878} +{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.31481, "decode.acc_seg": 70.429, "aux.loss_seg": 0.15563, "aux.acc_seg": 68.61039, "loss": 0.47044, "time": 0.72055} +{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.30933, "decode.acc_seg": 70.77768, "aux.loss_seg": 0.15334, "aux.acc_seg": 69.02544, "loss": 0.46267, "time": 0.72102} +{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 26851, "data_time": 0.00707, "decode.loss_seg": 0.31765, "decode.acc_seg": 69.77865, "aux.loss_seg": 0.15807, "aux.acc_seg": 67.95582, "loss": 0.47571, "time": 0.72161} +{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.3192, "decode.acc_seg": 71.29902, "aux.loss_seg": 0.15746, "aux.acc_seg": 69.54418, "loss": 0.47666, "time": 0.7197} +{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 26851, "data_time": 0.00705, "decode.loss_seg": 0.31309, "decode.acc_seg": 69.98266, "aux.loss_seg": 0.15529, "aux.acc_seg": 68.1334, "loss": 0.46838, "time": 0.71947} +{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 26851, "data_time": 0.00709, "decode.loss_seg": 0.31834, "decode.acc_seg": 69.38776, "aux.loss_seg": 0.15614, "aux.acc_seg": 67.73956, "loss": 0.47448, "time": 0.71831} +{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 26851, "data_time": 0.00741, "decode.loss_seg": 0.31279, "decode.acc_seg": 70.12338, "aux.loss_seg": 0.15091, "aux.acc_seg": 68.44569, "loss": 0.4637, "time": 0.71567} +{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.32189, "decode.acc_seg": 71.08572, "aux.loss_seg": 0.15458, "aux.acc_seg": 69.30743, "loss": 0.47647, "time": 0.71638} +{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 26851, "data_time": 0.00713, "decode.loss_seg": 0.32169, "decode.acc_seg": 71.41609, "aux.loss_seg": 0.15395, "aux.acc_seg": 69.59797, "loss": 0.47563, "time": 0.71749} +{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.33747, "decode.acc_seg": 70.38354, "aux.loss_seg": 0.16596, "aux.acc_seg": 68.46824, "loss": 0.50343, "time": 0.71892} +{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 26851, "data_time": 0.00688, "decode.loss_seg": 0.31332, "decode.acc_seg": 70.78741, "aux.loss_seg": 0.15465, "aux.acc_seg": 69.08837, "loss": 0.46797, "time": 0.72087} +{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 26851, "data_time": 0.00702, "decode.loss_seg": 0.34153, "decode.acc_seg": 70.61869, "aux.loss_seg": 0.1624, "aux.acc_seg": 69.13268, "loss": 0.50393, "time": 0.72046} +{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.34531, "decode.acc_seg": 70.82237, "aux.loss_seg": 0.167, "aux.acc_seg": 69.18072, "loss": 0.51231, "time": 0.72433} +{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.33277, "decode.acc_seg": 68.65169, "aux.loss_seg": 0.16145, "aux.acc_seg": 67.01305, "loss": 0.49423, "time": 0.71806} +{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.30983, "decode.acc_seg": 70.70443, "aux.loss_seg": 0.15124, "aux.acc_seg": 68.94855, "loss": 0.46107, "time": 0.71735} +{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.31856, "decode.acc_seg": 72.05238, "aux.loss_seg": 0.15678, "aux.acc_seg": 70.28181, "loss": 0.47534, "time": 0.71645} +{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.31851, "decode.acc_seg": 70.99545, "aux.loss_seg": 0.15451, "aux.acc_seg": 69.331, "loss": 0.47302, "time": 0.72263} +{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.32442, "decode.acc_seg": 69.77112, "aux.loss_seg": 0.16102, "aux.acc_seg": 67.81595, "loss": 0.48544, "time": 0.73224} +{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 26851, "data_time": 0.00697, "decode.loss_seg": 0.3307, "decode.acc_seg": 69.90574, "aux.loss_seg": 0.16178, "aux.acc_seg": 68.11003, "loss": 0.49247, "time": 0.72034} +{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.36205, "decode.acc_seg": 69.77, "aux.loss_seg": 0.17591, "aux.acc_seg": 68.09156, "loss": 0.53796, "time": 0.72} +{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.35988, "decode.acc_seg": 69.84679, "aux.loss_seg": 0.17224, "aux.acc_seg": 68.21293, "loss": 0.53211, "time": 0.7143} +{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 26851, "data_time": 0.00687, "decode.loss_seg": 0.322, "decode.acc_seg": 70.93076, "aux.loss_seg": 0.15746, "aux.acc_seg": 69.19455, "loss": 0.47946, "time": 0.71402} +{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4453, "mAcc": 0.5764, "aAcc": 0.808, "IoU.wall": 0.7474, "IoU.building": 0.8056, "IoU.sky": 0.9385, "IoU.floor": 0.8051, "IoU.tree": 0.7243, "IoU.ceiling": 0.8112, "IoU.road": 0.7843, "IoU.bed ": 0.8342, "IoU.windowpane": 0.5824, "IoU.grass": 0.6498, "IoU.cabinet": 0.5423, "IoU.sidewalk": 0.5935, "IoU.person": 0.7644, "IoU.earth": 0.3098, "IoU.door": 0.4056, "IoU.table": 0.5322, "IoU.mountain": 0.5812, "IoU.plant": 0.488, "IoU.curtain": 0.6877, "IoU.chair": 0.5118, "IoU.car": 0.8137, "IoU.water": 0.5726, "IoU.painting": 0.6797, "IoU.sofa": 0.6015, "IoU.shelf": 0.4207, "IoU.house": 0.424, "IoU.sea": 0.5771, "IoU.mirror": 0.5421, "IoU.rug": 0.6945, "IoU.field": 0.2403, "IoU.armchair": 0.3583, "IoU.seat": 0.6061, "IoU.fence": 0.4352, "IoU.desk": 0.4922, "IoU.rock": 0.3028, "IoU.wardrobe": 0.4505, "IoU.lamp": 0.5497, "IoU.bathtub": 0.6907, "IoU.railing": 0.3169, "IoU.cushion": 0.5014, "IoU.base": 0.2427, "IoU.box": 0.2088, "IoU.column": 0.4398, "IoU.signboard": 0.342, "IoU.chest of drawers": 0.3961, "IoU.counter": 0.3378, "IoU.sand": 0.4518, "IoU.sink": 0.6397, "IoU.skyscraper": 0.5659, "IoU.fireplace": NaN, "IoU.refrigerator": 0.653, "IoU.grandstand": 0.428, "IoU.path": 0.2131, "IoU.stairs": 0.1685, "IoU.runway": 0.7231, "IoU.case": 0.3964, "IoU.pool table": 0.903, "IoU.pillow": 0.47, "IoU.screen door": 0.482, "IoU.stairway": 0.2556, "IoU.river": 0.1579, "IoU.bridge": 0.5913, "IoU.bookcase": 0.4306, "IoU.blind": NaN, "IoU.coffee table": 0.5018, "IoU.toilet": 0.779, "IoU.flower": 0.3891, "IoU.book": 0.4598, "IoU.hill": 0.1451, "IoU.bench": 0.4564, "IoU.countertop": 0.5293, "IoU.stove": 0.6274, "IoU.palm": 0.447, "IoU.kitchen island": 0.2985, "IoU.computer": 0.5703, "IoU.swivel chair": 0.4131, "IoU.boat": 0.4219, "IoU.bar": 0.3442, "IoU.arcade machine": 0.7209, "IoU.hovel": 0.2695, "IoU.bus": 0.7953, "IoU.towel": 0.5674, "IoU.light": 0.5121, "IoU.truck": 0.1749, "IoU.tower": 0.0815, "IoU.chandelier": 0.6426, "IoU.awning": 0.2627, "IoU.streetlight": 0.1808, "IoU.booth": 0.5113, "IoU.television receiver": NaN, "IoU.airplane": 0.5735, "IoU.dirt track": 0.0, "IoU.apparel": 0.2423, "IoU.pole": 0.1267, "IoU.land": 0.0045, "IoU.bannister": 0.0759, "IoU.escalator": 0.4373, "IoU.ottoman": 0.3484, "IoU.bottle": NaN, "IoU.buffet": 0.3363, "IoU.poster": 0.2167, "IoU.stage": 0.2084, "IoU.van": 0.3938, "IoU.ship": 0.5443, "IoU.fountain": 0.2363, "IoU.conveyer belt": 0.7122, "IoU.canopy": 0.1655, "IoU.washer": 0.8073, "IoU.plaything": 0.2011, "IoU.swimming pool": 0.6184, "IoU.stool": 0.2979, "IoU.barrel": 0.3938, "IoU.basket": 0.3113, "IoU.waterfall": 0.2818, "IoU.tent": 0.6682, "IoU.bag": 0.1633, "IoU.minibike": 0.6223, "IoU.cradle": NaN, "IoU.oven": 0.1819, "IoU.ball": 0.4242, "IoU.food": 0.5932, "IoU.step": 0.0935, "IoU.tank": 0.5393, "IoU.trade name": 0.1685, "IoU.microwave": 0.7216, "IoU.pot": 0.4852, "IoU.animal": NaN, "IoU.bicycle": 0.4868, "IoU.lake": 0.5892, "IoU.dishwasher": 0.5356, "IoU.screen": 0.589, "IoU.blanket": 0.0853, "IoU.sculpture": 0.4831, "IoU.hood": 0.5502, "IoU.sconce": 0.3028, "IoU.vase": 0.3071, "IoU.traffic light": 0.2383, "IoU.tray": 0.1143, "IoU.ashcan": 0.3129, "IoU.fan": 0.5461, "IoU.pier": 0.3752, "IoU.crt screen": 0.0232, "IoU.plate": 0.5359, "IoU.monitor": 0.0638, "IoU.bulletin board": 0.4342, "IoU.shower": 0.0, "IoU.radiator": 0.4966, "IoU.glass": 0.0907, "IoU.clock": 0.366, "IoU.flag": 0.4308, "Acc.wall": 0.8723, "Acc.building": 0.9215, "Acc.sky": 0.9716, "Acc.floor": 0.8792, "Acc.tree": 0.8558, "Acc.ceiling": 0.884, "Acc.road": 0.8356, "Acc.bed ": 0.9444, "Acc.windowpane": 0.7642, "Acc.grass": 0.8432, "Acc.cabinet": 0.6664, "Acc.sidewalk": 0.8242, "Acc.person": 0.8991, "Acc.earth": 0.3919, "Acc.door": 0.4898, "Acc.table": 0.6854, "Acc.mountain": 0.7478, "Acc.plant": 0.6216, "Acc.curtain": 0.8103, "Acc.chair": 0.618, "Acc.car": 0.8886, "Acc.water": 0.759, "Acc.painting": 0.815, "Acc.sofa": 0.7979, "Acc.shelf": 0.6942, "Acc.house": 0.529, "Acc.sea": 0.6846, "Acc.mirror": 0.6713, "Acc.rug": 0.8038, "Acc.field": 0.3894, "Acc.armchair": 0.5269, "Acc.seat": 0.8324, "Acc.fence": 0.6921, "Acc.desk": 0.6709, "Acc.rock": 0.4689, "Acc.wardrobe": 0.677, "Acc.lamp": 0.7013, "Acc.bathtub": 0.8051, "Acc.railing": 0.4279, "Acc.cushion": 0.7059, "Acc.base": 0.424, "Acc.box": 0.3053, "Acc.column": 0.5757, "Acc.signboard": 0.4781, "Acc.chest of drawers": 0.5702, "Acc.counter": 0.4077, "Acc.sand": 0.7425, "Acc.sink": 0.7933, "Acc.skyscraper": 0.7087, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7248, "Acc.grandstand": 0.673, "Acc.path": 0.4282, "Acc.stairs": 0.2107, "Acc.runway": 0.9536, "Acc.case": 0.4164, "Acc.pool table": 0.9491, "Acc.pillow": 0.5464, "Acc.screen door": 0.6181, "Acc.stairway": 0.4557, "Acc.river": 0.3822, "Acc.bridge": 0.8856, "Acc.bookcase": 0.5951, "Acc.blind": NaN, "Acc.coffee table": 0.7567, "Acc.toilet": 0.8771, "Acc.flower": 0.5057, "Acc.book": 0.7022, "Acc.hill": 0.2273, "Acc.bench": 0.5423, "Acc.countertop": 0.7322, "Acc.stove": 0.7523, "Acc.palm": 0.6445, "Acc.kitchen island": 0.5131, "Acc.computer": 0.6914, "Acc.swivel chair": 0.653, "Acc.boat": 0.5239, "Acc.bar": 0.4296, "Acc.arcade machine": 0.818, "Acc.hovel": 0.2893, "Acc.bus": 0.9596, "Acc.towel": 0.7521, "Acc.light": 0.6223, "Acc.truck": 0.343, "Acc.tower": 0.1247, "Acc.chandelier": 0.7775, "Acc.awning": 0.2961, "Acc.streetlight": 0.2396, "Acc.booth": 0.5995, "Acc.television receiver": NaN, "Acc.airplane": 0.6545, "Acc.dirt track": 0.0, "Acc.apparel": 0.3731, "Acc.pole": 0.1715, "Acc.land": 0.008, "Acc.bannister": 0.1021, "Acc.escalator": 0.8054, "Acc.ottoman": 0.4968, "Acc.bottle": NaN, "Acc.buffet": 0.3726, "Acc.poster": 0.2984, "Acc.stage": 0.3375, "Acc.van": 0.5879, "Acc.ship": 0.8937, "Acc.fountain": 0.241, "Acc.conveyer belt": 0.8876, "Acc.canopy": 0.2378, "Acc.washer": 0.8641, "Acc.plaything": 0.3389, "Acc.swimming pool": 0.7484, "Acc.stool": 0.478, "Acc.barrel": 0.6307, "Acc.basket": 0.3862, "Acc.waterfall": 0.2931, "Acc.tent": 0.9826, "Acc.bag": 0.2131, "Acc.minibike": 0.7883, "Acc.cradle": NaN, "Acc.oven": 0.2782, "Acc.ball": 0.476, "Acc.food": 0.6967, "Acc.step": 0.1117, "Acc.tank": 0.657, "Acc.trade name": 0.189, "Acc.microwave": 0.8684, "Acc.pot": 0.5393, "Acc.animal": NaN, "Acc.bicycle": 0.7339, "Acc.lake": 0.5951, "Acc.dishwasher": 0.6747, "Acc.screen": 0.92, "Acc.blanket": 0.0944, "Acc.sculpture": 0.7324, "Acc.hood": 0.681, "Acc.sconce": 0.3498, "Acc.vase": 0.4804, "Acc.traffic light": 0.4173, "Acc.tray": 0.1854, "Acc.ashcan": 0.4098, "Acc.fan": 0.7422, "Acc.pier": 0.7312, "Acc.crt screen": 0.0655, "Acc.plate": 0.7076, "Acc.monitor": 0.078, "Acc.bulletin board": 0.5231, "Acc.shower": 0.0, "Acc.radiator": 0.561, "Acc.glass": 0.094, "Acc.clock": 0.4615, "Acc.flag": 0.4703} +{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 26851, "data_time": 1.68615, "decode.loss_seg": 0.3118, "decode.acc_seg": 70.48076, "aux.loss_seg": 0.15361, "aux.acc_seg": 68.47614, "loss": 0.46541, "time": 2.39879} +{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 26851, "data_time": 0.00698, "decode.loss_seg": 0.33957, "decode.acc_seg": 70.14877, "aux.loss_seg": 0.16537, "aux.acc_seg": 68.57133, "loss": 0.50494, "time": 0.72239} +{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.29697, "decode.acc_seg": 71.6845, "aux.loss_seg": 0.14804, "aux.acc_seg": 69.8246, "loss": 0.44501, "time": 0.7163} +{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.32748, "decode.acc_seg": 69.55438, "aux.loss_seg": 0.15874, "aux.acc_seg": 68.043, "loss": 0.48622, "time": 0.7186} +{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.32526, "decode.acc_seg": 70.31928, "aux.loss_seg": 0.15771, "aux.acc_seg": 68.685, "loss": 0.48297, "time": 0.726} +{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.3029, "decode.acc_seg": 70.73834, "aux.loss_seg": 0.15163, "aux.acc_seg": 69.01709, "loss": 0.45452, "time": 0.72776} +{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.32152, "decode.acc_seg": 70.83828, "aux.loss_seg": 0.15874, "aux.acc_seg": 68.96641, "loss": 0.48025, "time": 0.71746} +{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 26851, "data_time": 0.00697, "decode.loss_seg": 0.32081, "decode.acc_seg": 70.93641, "aux.loss_seg": 0.15783, "aux.acc_seg": 69.24637, "loss": 0.47863, "time": 0.71276} +{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 26851, "data_time": 0.00702, "decode.loss_seg": 0.31409, "decode.acc_seg": 70.52136, "aux.loss_seg": 0.15583, "aux.acc_seg": 68.79118, "loss": 0.46992, "time": 0.71502} +{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 26851, "data_time": 0.0069, "decode.loss_seg": 0.3124, "decode.acc_seg": 70.70874, "aux.loss_seg": 0.15401, "aux.acc_seg": 68.87929, "loss": 0.46641, "time": 0.71692} +{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 26851, "data_time": 0.00694, "decode.loss_seg": 0.33604, "decode.acc_seg": 70.66661, "aux.loss_seg": 0.16431, "aux.acc_seg": 68.61112, "loss": 0.50036, "time": 0.71927} +{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.34581, "decode.acc_seg": 70.89288, "aux.loss_seg": 0.16826, "aux.acc_seg": 69.11504, "loss": 0.51407, "time": 0.7252} +{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.31975, "decode.acc_seg": 70.53643, "aux.loss_seg": 0.15991, "aux.acc_seg": 68.70007, "loss": 0.47966, "time": 0.72556} +{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.31015, "decode.acc_seg": 70.37021, "aux.loss_seg": 0.15212, "aux.acc_seg": 68.65931, "loss": 0.46227, "time": 0.72775} +{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.30325, "decode.acc_seg": 70.74055, "aux.loss_seg": 0.14974, "aux.acc_seg": 68.89959, "loss": 0.45299, "time": 0.72169} +{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 26851, "data_time": 0.0069, "decode.loss_seg": 0.32925, "decode.acc_seg": 70.71335, "aux.loss_seg": 0.16099, "aux.acc_seg": 68.76076, "loss": 0.49024, "time": 0.72044} +{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.33015, "decode.acc_seg": 70.44348, "aux.loss_seg": 0.16271, "aux.acc_seg": 68.54738, "loss": 0.49286, "time": 0.72162} +{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.34698, "decode.acc_seg": 68.29087, "aux.loss_seg": 0.16682, "aux.acc_seg": 66.62567, "loss": 0.5138, "time": 0.72219} +{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 26851, "data_time": 0.00698, "decode.loss_seg": 0.33535, "decode.acc_seg": 68.85844, "aux.loss_seg": 0.16599, "aux.acc_seg": 66.9714, "loss": 0.50134, "time": 0.72155} +{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.30994, "decode.acc_seg": 70.33007, "aux.loss_seg": 0.15064, "aux.acc_seg": 68.68296, "loss": 0.46058, "time": 0.71624} +{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 26851, "data_time": 0.00717, "decode.loss_seg": 0.32523, "decode.acc_seg": 69.74775, "aux.loss_seg": 0.16043, "aux.acc_seg": 68.00692, "loss": 0.48565, "time": 0.72233} +{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.33652, "decode.acc_seg": 69.88805, "aux.loss_seg": 0.1636, "aux.acc_seg": 68.11206, "loss": 0.50012, "time": 0.72087} +{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.32996, "decode.acc_seg": 68.75996, "aux.loss_seg": 0.15795, "aux.acc_seg": 67.28128, "loss": 0.48792, "time": 0.7277} +{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.31527, "decode.acc_seg": 70.60057, "aux.loss_seg": 0.15555, "aux.acc_seg": 68.93978, "loss": 0.47082, "time": 0.72687} +{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.33702, "decode.acc_seg": 70.1352, "aux.loss_seg": 0.16162, "aux.acc_seg": 68.70934, "loss": 0.49864, "time": 0.72243} +{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 26851, "data_time": 0.21792, "decode.loss_seg": 0.29147, "decode.acc_seg": 71.55113, "aux.loss_seg": 0.14319, "aux.acc_seg": 69.83166, "loss": 0.43466, "time": 0.93583} +{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.31541, "decode.acc_seg": 70.91551, "aux.loss_seg": 0.15544, "aux.acc_seg": 68.99781, "loss": 0.47085, "time": 0.71975} +{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 26851, "data_time": 0.00723, "decode.loss_seg": 0.29365, "decode.acc_seg": 71.56293, "aux.loss_seg": 0.14659, "aux.acc_seg": 69.76676, "loss": 0.44024, "time": 0.71659} +{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.31632, "decode.acc_seg": 69.87833, "aux.loss_seg": 0.15684, "aux.acc_seg": 67.91527, "loss": 0.47317, "time": 0.72313} +{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.30825, "decode.acc_seg": 69.91264, "aux.loss_seg": 0.15305, "aux.acc_seg": 68.12007, "loss": 0.4613, "time": 0.72214} +{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 26851, "data_time": 0.00707, "decode.loss_seg": 0.3033, "decode.acc_seg": 71.05803, "aux.loss_seg": 0.14969, "aux.acc_seg": 69.2751, "loss": 0.45299, "time": 0.72001} +{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 26851, "data_time": 0.00712, "decode.loss_seg": 0.3313, "decode.acc_seg": 69.69909, "aux.loss_seg": 0.16327, "aux.acc_seg": 67.82793, "loss": 0.49456, "time": 0.71485} +{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 26851, "data_time": 0.00717, "decode.loss_seg": 0.30152, "decode.acc_seg": 71.1151, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.39724, "loss": 0.44894, "time": 0.71382} +{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 26851, "data_time": 0.00711, "decode.loss_seg": 0.3243, "decode.acc_seg": 69.69565, "aux.loss_seg": 0.15557, "aux.acc_seg": 68.15883, "loss": 0.47987, "time": 0.71709} +{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.32411, "decode.acc_seg": 70.74795, "aux.loss_seg": 0.15834, "aux.acc_seg": 68.83485, "loss": 0.48244, "time": 0.72054} +{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 26851, "data_time": 0.00701, "decode.loss_seg": 0.31972, "decode.acc_seg": 69.04852, "aux.loss_seg": 0.15621, "aux.acc_seg": 67.36533, "loss": 0.47593, "time": 0.72183} +{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 26851, "data_time": 0.00728, "decode.loss_seg": 0.33555, "decode.acc_seg": 69.08697, "aux.loss_seg": 0.16361, "aux.acc_seg": 67.17149, "loss": 0.49916, "time": 0.72109} +{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.31194, "decode.acc_seg": 70.80522, "aux.loss_seg": 0.15276, "aux.acc_seg": 69.15432, "loss": 0.4647, "time": 0.72151} +{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.31219, "decode.acc_seg": 70.27536, "aux.loss_seg": 0.15251, "aux.acc_seg": 68.52709, "loss": 0.46471, "time": 0.72613} +{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.34319, "decode.acc_seg": 69.65279, "aux.loss_seg": 0.16731, "aux.acc_seg": 68.01441, "loss": 0.5105, "time": 0.71605} +{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.32683, "decode.acc_seg": 70.39976, "aux.loss_seg": 0.15742, "aux.acc_seg": 68.75389, "loss": 0.48425, "time": 0.72444} +{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 26851, "data_time": 0.00738, "decode.loss_seg": 0.36191, "decode.acc_seg": 70.30208, "aux.loss_seg": 0.17388, "aux.acc_seg": 68.46372, "loss": 0.53579, "time": 0.71484} +{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.32407, "decode.acc_seg": 70.8811, "aux.loss_seg": 0.15859, "aux.acc_seg": 69.08049, "loss": 0.48266, "time": 0.71695} +{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.31541, "decode.acc_seg": 69.77788, "aux.loss_seg": 0.15374, "aux.acc_seg": 68.26982, "loss": 0.46914, "time": 0.71982} +{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.32213, "decode.acc_seg": 70.38859, "aux.loss_seg": 0.15901, "aux.acc_seg": 68.68298, "loss": 0.48114, "time": 0.71964} +{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 26851, "data_time": 0.00738, "decode.loss_seg": 0.31853, "decode.acc_seg": 70.64316, "aux.loss_seg": 0.15528, "aux.acc_seg": 69.02389, "loss": 0.47381, "time": 0.72065} +{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.31433, "decode.acc_seg": 71.88215, "aux.loss_seg": 0.15489, "aux.acc_seg": 70.19732, "loss": 0.46923, "time": 0.71745} +{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.30917, "decode.acc_seg": 69.66676, "aux.loss_seg": 0.15146, "aux.acc_seg": 68.12566, "loss": 0.46063, "time": 0.72048} +{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.32156, "decode.acc_seg": 71.16298, "aux.loss_seg": 0.16108, "aux.acc_seg": 69.22059, "loss": 0.48264, "time": 0.71856} +{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.32473, "decode.acc_seg": 69.51232, "aux.loss_seg": 0.15804, "aux.acc_seg": 67.69432, "loss": 0.48277, "time": 0.71886} +{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 26851, "data_time": 0.2222, "decode.loss_seg": 0.31238, "decode.acc_seg": 70.73924, "aux.loss_seg": 0.15184, "aux.acc_seg": 69.21018, "loss": 0.46421, "time": 0.93617} +{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 26851, "data_time": 0.00699, "decode.loss_seg": 0.30868, "decode.acc_seg": 71.35819, "aux.loss_seg": 0.14997, "aux.acc_seg": 69.62395, "loss": 0.45864, "time": 0.71891} +{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.29976, "decode.acc_seg": 71.12762, "aux.loss_seg": 0.14691, "aux.acc_seg": 69.4666, "loss": 0.44667, "time": 0.71927} +{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 26851, "data_time": 0.00719, "decode.loss_seg": 0.30242, "decode.acc_seg": 71.59242, "aux.loss_seg": 0.15143, "aux.acc_seg": 69.7435, "loss": 0.45385, "time": 0.71903} +{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.3249, "decode.acc_seg": 70.59832, "aux.loss_seg": 0.15689, "aux.acc_seg": 69.06415, "loss": 0.48179, "time": 0.72429} +{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.31559, "decode.acc_seg": 71.07769, "aux.loss_seg": 0.15503, "aux.acc_seg": 69.20259, "loss": 0.47061, "time": 0.71759} +{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.30929, "decode.acc_seg": 70.18225, "aux.loss_seg": 0.15313, "aux.acc_seg": 68.40769, "loss": 0.46242, "time": 0.72633} +{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.32764, "decode.acc_seg": 70.72321, "aux.loss_seg": 0.16022, "aux.acc_seg": 69.02351, "loss": 0.48786, "time": 0.7216} +{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 26851, "data_time": 0.00732, "decode.loss_seg": 0.30767, "decode.acc_seg": 70.76892, "aux.loss_seg": 0.15036, "aux.acc_seg": 69.02671, "loss": 0.45803, "time": 0.72855} +{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.2987, "decode.acc_seg": 70.59565, "aux.loss_seg": 0.14716, "aux.acc_seg": 68.91563, "loss": 0.44586, "time": 0.72099} +{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 26851, "data_time": 0.00705, "decode.loss_seg": 0.30306, "decode.acc_seg": 70.84276, "aux.loss_seg": 0.14915, "aux.acc_seg": 68.9512, "loss": 0.4522, "time": 0.71684} +{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.30023, "decode.acc_seg": 70.46146, "aux.loss_seg": 0.14815, "aux.acc_seg": 68.58978, "loss": 0.44838, "time": 0.71522} +{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.31711, "decode.acc_seg": 69.3393, "aux.loss_seg": 0.15621, "aux.acc_seg": 67.48121, "loss": 0.47331, "time": 0.71984} +{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.31581, "decode.acc_seg": 71.3341, "aux.loss_seg": 0.15673, "aux.acc_seg": 69.66473, "loss": 0.47254, "time": 0.72569} +{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.30592, "decode.acc_seg": 71.61385, "aux.loss_seg": 0.15161, "aux.acc_seg": 69.81602, "loss": 0.45753, "time": 0.72889} +{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.31834, "decode.acc_seg": 70.47488, "aux.loss_seg": 0.15733, "aux.acc_seg": 68.64469, "loss": 0.47567, "time": 0.7343} +{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.30185, "decode.acc_seg": 69.7991, "aux.loss_seg": 0.14882, "aux.acc_seg": 68.20111, "loss": 0.45067, "time": 0.73284} +{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.30624, "decode.acc_seg": 71.18497, "aux.loss_seg": 0.15117, "aux.acc_seg": 69.49832, "loss": 0.45741, "time": 0.73304} +{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.31593, "decode.acc_seg": 70.78586, "aux.loss_seg": 0.15407, "aux.acc_seg": 69.31679, "loss": 0.46999, "time": 0.73549} +{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.31226, "decode.acc_seg": 72.39816, "aux.loss_seg": 0.15526, "aux.acc_seg": 70.39349, "loss": 0.46752, "time": 0.72788} +{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.33247, "decode.acc_seg": 71.54233, "aux.loss_seg": 0.1656, "aux.acc_seg": 69.5901, "loss": 0.49807, "time": 0.73121} +{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.30872, "decode.acc_seg": 70.51472, "aux.loss_seg": 0.15037, "aux.acc_seg": 68.77552, "loss": 0.45909, "time": 0.73076} +{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.31008, "decode.acc_seg": 70.93616, "aux.loss_seg": 0.15429, "aux.acc_seg": 69.14174, "loss": 0.46437, "time": 0.73241} +{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.32389, "decode.acc_seg": 70.65918, "aux.loss_seg": 0.16035, "aux.acc_seg": 68.77134, "loss": 0.48424, "time": 0.73049} +{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.31003, "decode.acc_seg": 70.45235, "aux.loss_seg": 0.15491, "aux.acc_seg": 68.71248, "loss": 0.46494, "time": 0.73437} +{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 26851, "data_time": 0.24471, "decode.loss_seg": 0.32249, "decode.acc_seg": 69.12188, "aux.loss_seg": 0.15289, "aux.acc_seg": 67.75867, "loss": 0.47539, "time": 0.96491} +{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.29393, "decode.acc_seg": 71.65991, "aux.loss_seg": 0.14573, "aux.acc_seg": 69.89369, "loss": 0.43967, "time": 0.72534} +{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.28989, "decode.acc_seg": 70.94014, "aux.loss_seg": 0.14125, "aux.acc_seg": 69.47292, "loss": 0.43114, "time": 0.72534} +{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.29418, "decode.acc_seg": 72.0841, "aux.loss_seg": 0.14712, "aux.acc_seg": 70.33903, "loss": 0.44131, "time": 0.73251} +{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.30808, "decode.acc_seg": 70.54358, "aux.loss_seg": 0.15171, "aux.acc_seg": 68.79395, "loss": 0.45978, "time": 0.73125} +{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.30675, "decode.acc_seg": 69.08997, "aux.loss_seg": 0.14975, "aux.acc_seg": 67.58146, "loss": 0.4565, "time": 0.73662} +{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.30693, "decode.acc_seg": 71.1489, "aux.loss_seg": 0.15138, "aux.acc_seg": 69.33719, "loss": 0.45832, "time": 0.72853} +{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.3105, "decode.acc_seg": 71.56299, "aux.loss_seg": 0.15547, "aux.acc_seg": 69.6733, "loss": 0.46597, "time": 0.72915} +{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.31092, "decode.acc_seg": 70.84571, "aux.loss_seg": 0.1531, "aux.acc_seg": 69.19355, "loss": 0.46401, "time": 0.72828} +{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.29833, "decode.acc_seg": 69.8921, "aux.loss_seg": 0.15077, "aux.acc_seg": 68.07509, "loss": 0.4491, "time": 0.72517} +{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.30704, "decode.acc_seg": 70.92978, "aux.loss_seg": 0.15093, "aux.acc_seg": 69.13875, "loss": 0.45797, "time": 0.72692} +{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.33327, "decode.acc_seg": 72.43827, "aux.loss_seg": 0.16382, "aux.acc_seg": 70.51571, "loss": 0.49709, "time": 0.7293} +{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.32371, "decode.acc_seg": 70.2167, "aux.loss_seg": 0.15882, "aux.acc_seg": 68.37398, "loss": 0.48253, "time": 0.73438} +{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.29905, "decode.acc_seg": 72.91983, "aux.loss_seg": 0.14735, "aux.acc_seg": 71.1944, "loss": 0.4464, "time": 0.72713} +{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.31295, "decode.acc_seg": 71.99529, "aux.loss_seg": 0.15281, "aux.acc_seg": 70.2598, "loss": 0.46577, "time": 0.7206} +{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.30462, "decode.acc_seg": 72.01601, "aux.loss_seg": 0.15133, "aux.acc_seg": 70.15562, "loss": 0.45595, "time": 0.72815} +{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.32059, "decode.acc_seg": 69.66983, "aux.loss_seg": 0.15458, "aux.acc_seg": 67.92951, "loss": 0.47516, "time": 0.73188} +{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.31733, "decode.acc_seg": 70.80565, "aux.loss_seg": 0.15876, "aux.acc_seg": 68.83644, "loss": 0.47609, "time": 0.73491} +{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.31729, "decode.acc_seg": 70.6887, "aux.loss_seg": 0.15273, "aux.acc_seg": 69.15773, "loss": 0.47001, "time": 0.73378} +{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.31755, "decode.acc_seg": 70.55801, "aux.loss_seg": 0.15914, "aux.acc_seg": 68.64819, "loss": 0.47668, "time": 0.73001} +{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.31839, "decode.acc_seg": 72.17944, "aux.loss_seg": 0.15433, "aux.acc_seg": 70.51182, "loss": 0.47272, "time": 0.73258} +{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.29195, "decode.acc_seg": 70.32206, "aux.loss_seg": 0.14588, "aux.acc_seg": 68.5187, "loss": 0.43783, "time": 0.72482} +{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.30985, "decode.acc_seg": 71.33985, "aux.loss_seg": 0.15466, "aux.acc_seg": 69.44073, "loss": 0.46451, "time": 0.7282} +{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.31902, "decode.acc_seg": 69.87548, "aux.loss_seg": 0.15851, "aux.acc_seg": 67.79891, "loss": 0.47753, "time": 0.72467} +{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.30904, "decode.acc_seg": 71.7939, "aux.loss_seg": 0.15074, "aux.acc_seg": 70.16202, "loss": 0.45977, "time": 0.73398} +{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 26851, "data_time": 0.24606, "decode.loss_seg": 0.31786, "decode.acc_seg": 70.35181, "aux.loss_seg": 0.15824, "aux.acc_seg": 68.41164, "loss": 0.4761, "time": 0.97632} +{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.28969, "decode.acc_seg": 71.82538, "aux.loss_seg": 0.14468, "aux.acc_seg": 70.03158, "loss": 0.43436, "time": 0.73654} +{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.29843, "decode.acc_seg": 70.68258, "aux.loss_seg": 0.14952, "aux.acc_seg": 68.6962, "loss": 0.44796, "time": 0.73102} +{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.29115, "decode.acc_seg": 71.28351, "aux.loss_seg": 0.14468, "aux.acc_seg": 69.46548, "loss": 0.43583, "time": 0.73366} +{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.30289, "decode.acc_seg": 71.07091, "aux.loss_seg": 0.15042, "aux.acc_seg": 69.29397, "loss": 0.45331, "time": 0.73354} +{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 26851, "data_time": 0.00913, "decode.loss_seg": 0.28432, "decode.acc_seg": 72.25608, "aux.loss_seg": 0.14441, "aux.acc_seg": 70.4892, "loss": 0.42873, "time": 0.73716} +{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.31421, "decode.acc_seg": 71.6512, "aux.loss_seg": 0.15738, "aux.acc_seg": 69.79972, "loss": 0.47159, "time": 0.72339} +{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.31525, "decode.acc_seg": 70.7901, "aux.loss_seg": 0.15753, "aux.acc_seg": 68.88199, "loss": 0.47278, "time": 0.71924} +{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.3138, "decode.acc_seg": 70.53869, "aux.loss_seg": 0.15456, "aux.acc_seg": 68.81166, "loss": 0.46836, "time": 0.73216} +{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.31098, "decode.acc_seg": 72.36051, "aux.loss_seg": 0.15348, "aux.acc_seg": 70.52415, "loss": 0.46446, "time": 0.72871} +{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.28257, "decode.acc_seg": 69.70113, "aux.loss_seg": 0.14491, "aux.acc_seg": 67.73049, "loss": 0.42748, "time": 0.73145} +{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.31361, "decode.acc_seg": 70.12961, "aux.loss_seg": 0.15209, "aux.acc_seg": 68.51051, "loss": 0.4657, "time": 0.7358} +{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.31347, "decode.acc_seg": 71.74204, "aux.loss_seg": 0.15501, "aux.acc_seg": 70.01639, "loss": 0.46847, "time": 0.72625} +{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.30533, "decode.acc_seg": 71.09159, "aux.loss_seg": 0.15183, "aux.acc_seg": 69.28453, "loss": 0.45716, "time": 0.72646} +{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.29362, "decode.acc_seg": 70.69485, "aux.loss_seg": 0.14506, "aux.acc_seg": 69.07394, "loss": 0.43868, "time": 0.73448} +{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.30867, "decode.acc_seg": 71.3718, "aux.loss_seg": 0.15008, "aux.acc_seg": 69.70996, "loss": 0.45875, "time": 0.73668} +{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.29327, "decode.acc_seg": 71.0339, "aux.loss_seg": 0.14569, "aux.acc_seg": 69.28652, "loss": 0.43896, "time": 0.73183} +{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.31005, "decode.acc_seg": 70.63695, "aux.loss_seg": 0.14981, "aux.acc_seg": 69.05133, "loss": 0.45986, "time": 0.73115} +{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 26851, "data_time": 0.00963, "decode.loss_seg": 0.3052, "decode.acc_seg": 69.93458, "aux.loss_seg": 0.14972, "aux.acc_seg": 68.23729, "loss": 0.45492, "time": 0.73736} +{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.31607, "decode.acc_seg": 69.44212, "aux.loss_seg": 0.1565, "aux.acc_seg": 67.6422, "loss": 0.47257, "time": 0.73476} +{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.29676, "decode.acc_seg": 70.01675, "aux.loss_seg": 0.14505, "aux.acc_seg": 68.39932, "loss": 0.44181, "time": 0.72598} +{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.29792, "decode.acc_seg": 71.27061, "aux.loss_seg": 0.14739, "aux.acc_seg": 69.54433, "loss": 0.44531, "time": 0.72821} +{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.30572, "decode.acc_seg": 71.17457, "aux.loss_seg": 0.15285, "aux.acc_seg": 69.29321, "loss": 0.45858, "time": 0.72888} +{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.29413, "decode.acc_seg": 70.41277, "aux.loss_seg": 0.14592, "aux.acc_seg": 68.64674, "loss": 0.44005, "time": 0.73075} +{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.29765, "decode.acc_seg": 71.05833, "aux.loss_seg": 0.14878, "aux.acc_seg": 69.07475, "loss": 0.44642, "time": 0.73056} +{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.29715, "decode.acc_seg": 71.73197, "aux.loss_seg": 0.1481, "aux.acc_seg": 69.86336, "loss": 0.44525, "time": 0.72744} +{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 26851, "data_time": 0.24469, "decode.loss_seg": 0.27197, "decode.acc_seg": 71.53266, "aux.loss_seg": 0.13667, "aux.acc_seg": 69.77712, "loss": 0.40864, "time": 0.96433} +{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.29507, "decode.acc_seg": 71.82605, "aux.loss_seg": 0.14635, "aux.acc_seg": 70.02492, "loss": 0.44142, "time": 0.73072} +{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.29956, "decode.acc_seg": 72.05376, "aux.loss_seg": 0.15306, "aux.acc_seg": 69.95888, "loss": 0.45262, "time": 0.73097} +{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.29419, "decode.acc_seg": 72.38511, "aux.loss_seg": 0.14975, "aux.acc_seg": 70.38893, "loss": 0.44394, "time": 0.73115} +{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.30531, "decode.acc_seg": 71.34922, "aux.loss_seg": 0.15127, "aux.acc_seg": 69.5901, "loss": 0.45659, "time": 0.7313} +{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.29322, "decode.acc_seg": 72.87755, "aux.loss_seg": 0.14881, "aux.acc_seg": 70.97325, "loss": 0.44203, "time": 0.73933} +{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.29415, "decode.acc_seg": 70.85166, "aux.loss_seg": 0.1455, "aux.acc_seg": 69.12796, "loss": 0.43965, "time": 0.73576} +{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.29775, "decode.acc_seg": 71.49085, "aux.loss_seg": 0.14786, "aux.acc_seg": 69.8636, "loss": 0.44561, "time": 0.72973} +{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.30362, "decode.acc_seg": 70.76682, "aux.loss_seg": 0.15061, "aux.acc_seg": 68.94872, "loss": 0.45422, "time": 0.72763} +{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.29012, "decode.acc_seg": 71.43535, "aux.loss_seg": 0.14401, "aux.acc_seg": 69.66946, "loss": 0.43413, "time": 0.73104} +{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.31211, "decode.acc_seg": 71.87318, "aux.loss_seg": 0.15621, "aux.acc_seg": 70.04172, "loss": 0.46832, "time": 0.72767} +{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.30037, "decode.acc_seg": 71.03463, "aux.loss_seg": 0.1499, "aux.acc_seg": 69.33361, "loss": 0.45027, "time": 0.73801} +{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.29097, "decode.acc_seg": 71.35284, "aux.loss_seg": 0.14564, "aux.acc_seg": 69.60077, "loss": 0.43661, "time": 0.72835} +{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.30802, "decode.acc_seg": 70.51215, "aux.loss_seg": 0.15046, "aux.acc_seg": 68.93671, "loss": 0.45848, "time": 0.73244} +{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.31531, "decode.acc_seg": 70.97775, "aux.loss_seg": 0.1529, "aux.acc_seg": 69.42215, "loss": 0.46821, "time": 0.7275} +{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.29207, "decode.acc_seg": 71.11755, "aux.loss_seg": 0.14235, "aux.acc_seg": 69.44865, "loss": 0.43442, "time": 0.72801} +{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.30401, "decode.acc_seg": 70.38984, "aux.loss_seg": 0.14967, "aux.acc_seg": 68.49306, "loss": 0.45368, "time": 0.72756} +{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.30547, "decode.acc_seg": 70.38906, "aux.loss_seg": 0.15074, "aux.acc_seg": 68.62716, "loss": 0.4562, "time": 0.73037} +{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.3007, "decode.acc_seg": 71.08231, "aux.loss_seg": 0.15156, "aux.acc_seg": 68.8976, "loss": 0.45226, "time": 0.73237} +{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.30379, "decode.acc_seg": 71.02183, "aux.loss_seg": 0.14983, "aux.acc_seg": 69.27439, "loss": 0.45362, "time": 0.7298} +{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.30477, "decode.acc_seg": 70.53531, "aux.loss_seg": 0.15083, "aux.acc_seg": 68.71813, "loss": 0.4556, "time": 0.73691} +{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.29263, "decode.acc_seg": 69.42158, "aux.loss_seg": 0.14481, "aux.acc_seg": 67.77519, "loss": 0.43744, "time": 0.72308} +{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.29349, "decode.acc_seg": 70.88553, "aux.loss_seg": 0.14745, "aux.acc_seg": 69.01743, "loss": 0.44094, "time": 0.72469} +{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.30986, "decode.acc_seg": 71.48393, "aux.loss_seg": 0.14959, "aux.acc_seg": 70.11303, "loss": 0.45944, "time": 0.7305} +{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 26851, "data_time": 0.00918, "decode.loss_seg": 0.30573, "decode.acc_seg": 71.33255, "aux.loss_seg": 0.1521, "aux.acc_seg": 69.55772, "loss": 0.45783, "time": 0.73088} +{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 26851, "data_time": 0.24512, "decode.loss_seg": 0.30579, "decode.acc_seg": 70.62853, "aux.loss_seg": 0.15453, "aux.acc_seg": 68.5177, "loss": 0.46032, "time": 0.9737} +{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.28706, "decode.acc_seg": 71.46979, "aux.loss_seg": 0.13996, "aux.acc_seg": 69.85298, "loss": 0.42701, "time": 0.7326} +{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.2907, "decode.acc_seg": 70.54977, "aux.loss_seg": 0.14127, "aux.acc_seg": 68.85693, "loss": 0.43197, "time": 0.73095} +{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.30669, "decode.acc_seg": 72.17771, "aux.loss_seg": 0.15364, "aux.acc_seg": 70.20393, "loss": 0.46034, "time": 0.73131} +{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.2899, "decode.acc_seg": 71.97492, "aux.loss_seg": 0.14447, "aux.acc_seg": 70.17181, "loss": 0.43437, "time": 0.72045} +{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.31132, "decode.acc_seg": 71.01912, "aux.loss_seg": 0.15133, "aux.acc_seg": 69.42406, "loss": 0.46265, "time": 0.7259} +{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.30118, "decode.acc_seg": 71.65962, "aux.loss_seg": 0.14964, "aux.acc_seg": 69.85309, "loss": 0.45082, "time": 0.72897} +{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.29143, "decode.acc_seg": 71.42496, "aux.loss_seg": 0.14628, "aux.acc_seg": 69.43483, "loss": 0.43771, "time": 0.73588} +{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.28871, "decode.acc_seg": 71.20254, "aux.loss_seg": 0.14514, "aux.acc_seg": 69.47609, "loss": 0.43385, "time": 0.74009} +{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.2838, "decode.acc_seg": 72.21445, "aux.loss_seg": 0.14229, "aux.acc_seg": 70.39273, "loss": 0.42609, "time": 0.73514} +{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.30042, "decode.acc_seg": 70.52933, "aux.loss_seg": 0.14768, "aux.acc_seg": 68.93269, "loss": 0.4481, "time": 0.72791} +{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 26851, "data_time": 0.00921, "decode.loss_seg": 0.27725, "decode.acc_seg": 71.87418, "aux.loss_seg": 0.1375, "aux.acc_seg": 70.35597, "loss": 0.41475, "time": 0.72706} +{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.29867, "decode.acc_seg": 71.22714, "aux.loss_seg": 0.14688, "aux.acc_seg": 69.51252, "loss": 0.44555, "time": 0.72481} +{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.30239, "decode.acc_seg": 71.88689, "aux.loss_seg": 0.15214, "aux.acc_seg": 69.96929, "loss": 0.45453, "time": 0.72836} +{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.29979, "decode.acc_seg": 70.72295, "aux.loss_seg": 0.14947, "aux.acc_seg": 68.9783, "loss": 0.44926, "time": 0.73641} +{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.29443, "decode.acc_seg": 70.2852, "aux.loss_seg": 0.14837, "aux.acc_seg": 68.52693, "loss": 0.4428, "time": 0.73996} +{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.30514, "decode.acc_seg": 70.41661, "aux.loss_seg": 0.15181, "aux.acc_seg": 68.5186, "loss": 0.45695, "time": 0.73289} +{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.28723, "decode.acc_seg": 70.93945, "aux.loss_seg": 0.14375, "aux.acc_seg": 69.27057, "loss": 0.43099, "time": 0.72512} +{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.29543, "decode.acc_seg": 68.99212, "aux.loss_seg": 0.14705, "aux.acc_seg": 67.24122, "loss": 0.44249, "time": 0.72282} +{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.31042, "decode.acc_seg": 70.63889, "aux.loss_seg": 0.15344, "aux.acc_seg": 68.98674, "loss": 0.46386, "time": 0.73223} +{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.29993, "decode.acc_seg": 70.102, "aux.loss_seg": 0.14885, "aux.acc_seg": 68.41611, "loss": 0.44878, "time": 0.72947} +{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.2966, "decode.acc_seg": 71.32653, "aux.loss_seg": 0.14827, "aux.acc_seg": 69.55796, "loss": 0.44486, "time": 0.73053} +{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.29998, "decode.acc_seg": 72.3863, "aux.loss_seg": 0.14924, "aux.acc_seg": 70.56911, "loss": 0.44923, "time": 0.73183} +{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.29491, "decode.acc_seg": 71.85091, "aux.loss_seg": 0.14747, "aux.acc_seg": 69.94435, "loss": 0.44238, "time": 0.7263} +{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.30329, "decode.acc_seg": 71.21969, "aux.loss_seg": 0.15094, "aux.acc_seg": 69.25576, "loss": 0.45423, "time": 0.72438} +{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 26851, "data_time": 0.25812, "decode.loss_seg": 0.31145, "decode.acc_seg": 71.56233, "aux.loss_seg": 0.15133, "aux.acc_seg": 70.03056, "loss": 0.46278, "time": 0.97721} +{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.28339, "decode.acc_seg": 69.6776, "aux.loss_seg": 0.14172, "aux.acc_seg": 67.89782, "loss": 0.42511, "time": 0.73224} +{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.28734, "decode.acc_seg": 71.08178, "aux.loss_seg": 0.14536, "aux.acc_seg": 69.1264, "loss": 0.4327, "time": 0.72847} +{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.2898, "decode.acc_seg": 71.66632, "aux.loss_seg": 0.14351, "aux.acc_seg": 69.97237, "loss": 0.43331, "time": 0.72868} +{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.27416, "decode.acc_seg": 71.47559, "aux.loss_seg": 0.1378, "aux.acc_seg": 69.75158, "loss": 0.41196, "time": 0.73108} +{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.29778, "decode.acc_seg": 71.28303, "aux.loss_seg": 0.14826, "aux.acc_seg": 69.47687, "loss": 0.44603, "time": 0.73124} +{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.28371, "decode.acc_seg": 71.97059, "aux.loss_seg": 0.14427, "aux.acc_seg": 70.13433, "loss": 0.42798, "time": 0.73062} +{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.28578, "decode.acc_seg": 72.15972, "aux.loss_seg": 0.1429, "aux.acc_seg": 70.36477, "loss": 0.42868, "time": 0.72563} +{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.29885, "decode.acc_seg": 71.60242, "aux.loss_seg": 0.14937, "aux.acc_seg": 69.78315, "loss": 0.44821, "time": 0.73466} +{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.30574, "decode.acc_seg": 69.98219, "aux.loss_seg": 0.14967, "aux.acc_seg": 68.19674, "loss": 0.45541, "time": 0.72904} +{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.28762, "decode.acc_seg": 72.60954, "aux.loss_seg": 0.14215, "aux.acc_seg": 70.91752, "loss": 0.42977, "time": 0.73383} +{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.27233, "decode.acc_seg": 70.5049, "aux.loss_seg": 0.13763, "aux.acc_seg": 68.71367, "loss": 0.40996, "time": 0.72991} +{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.27781, "decode.acc_seg": 72.698, "aux.loss_seg": 0.1373, "aux.acc_seg": 70.96919, "loss": 0.41511, "time": 0.72991} +{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.29031, "decode.acc_seg": 71.06199, "aux.loss_seg": 0.14696, "aux.acc_seg": 69.21766, "loss": 0.43727, "time": 0.728} +{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.29743, "decode.acc_seg": 71.14859, "aux.loss_seg": 0.14747, "aux.acc_seg": 69.5322, "loss": 0.4449, "time": 0.72448} +{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.30674, "decode.acc_seg": 71.59333, "aux.loss_seg": 0.15295, "aux.acc_seg": 69.71952, "loss": 0.45969, "time": 0.73055} +{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.29414, "decode.acc_seg": 71.98596, "aux.loss_seg": 0.14703, "aux.acc_seg": 70.14285, "loss": 0.44117, "time": 0.73272} +{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.29272, "decode.acc_seg": 70.81046, "aux.loss_seg": 0.14627, "aux.acc_seg": 68.81176, "loss": 0.43899, "time": 0.73114} +{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.30444, "decode.acc_seg": 69.89857, "aux.loss_seg": 0.15113, "aux.acc_seg": 68.20219, "loss": 0.45557, "time": 0.73307} +{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.31118, "decode.acc_seg": 70.95554, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.30223, "loss": 0.46298, "time": 0.72562} +{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 26851, "data_time": 0.00749, "decode.loss_seg": 0.29263, "decode.acc_seg": 71.87557, "aux.loss_seg": 0.14691, "aux.acc_seg": 70.03252, "loss": 0.43955, "time": 0.72699} +{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.28538, "decode.acc_seg": 71.56664, "aux.loss_seg": 0.14271, "aux.acc_seg": 69.76444, "loss": 0.4281, "time": 0.72636} +{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.31385, "decode.acc_seg": 72.2236, "aux.loss_seg": 0.15601, "aux.acc_seg": 70.24085, "loss": 0.46986, "time": 0.72652} +{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.31054, "decode.acc_seg": 70.75264, "aux.loss_seg": 0.15205, "aux.acc_seg": 69.14128, "loss": 0.46259, "time": 0.73328} +{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.29172, "decode.acc_seg": 72.36528, "aux.loss_seg": 0.14527, "aux.acc_seg": 70.55648, "loss": 0.43698, "time": 0.73634} +{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 26851, "data_time": 0.25249, "decode.loss_seg": 0.27649, "decode.acc_seg": 69.74485, "aux.loss_seg": 0.13959, "aux.acc_seg": 67.91109, "loss": 0.41609, "time": 0.97967} +{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.29375, "decode.acc_seg": 72.17127, "aux.loss_seg": 0.14663, "aux.acc_seg": 70.23727, "loss": 0.44038, "time": 0.734} +{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.29701, "decode.acc_seg": 70.87838, "aux.loss_seg": 0.14915, "aux.acc_seg": 69.06727, "loss": 0.44617, "time": 0.72892} +{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.30134, "decode.acc_seg": 70.72575, "aux.loss_seg": 0.14855, "aux.acc_seg": 69.00146, "loss": 0.44988, "time": 0.73295} +{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.27969, "decode.acc_seg": 71.82236, "aux.loss_seg": 0.13946, "aux.acc_seg": 70.15792, "loss": 0.41915, "time": 0.73196} +{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.26998, "decode.acc_seg": 72.07504, "aux.loss_seg": 0.13458, "aux.acc_seg": 70.35827, "loss": 0.40456, "time": 0.72599} +{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.29525, "decode.acc_seg": 69.89138, "aux.loss_seg": 0.14749, "aux.acc_seg": 68.19209, "loss": 0.44274, "time": 0.72843} +{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.29336, "decode.acc_seg": 72.49784, "aux.loss_seg": 0.14303, "aux.acc_seg": 70.92762, "loss": 0.43639, "time": 0.7274} +{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.29639, "decode.acc_seg": 70.75476, "aux.loss_seg": 0.1484, "aux.acc_seg": 68.92784, "loss": 0.44479, "time": 0.74063} +{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.29468, "decode.acc_seg": 71.58785, "aux.loss_seg": 0.14398, "aux.acc_seg": 69.97537, "loss": 0.43865, "time": 0.7359} +{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.27854, "decode.acc_seg": 73.85448, "aux.loss_seg": 0.14029, "aux.acc_seg": 72.07326, "loss": 0.41882, "time": 0.72946} +{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.28009, "decode.acc_seg": 71.38595, "aux.loss_seg": 0.14075, "aux.acc_seg": 69.53023, "loss": 0.42084, "time": 0.72413} +{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.30812, "decode.acc_seg": 71.61914, "aux.loss_seg": 0.15335, "aux.acc_seg": 69.9346, "loss": 0.46147, "time": 0.72645} +{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.2929, "decode.acc_seg": 70.9862, "aux.loss_seg": 0.14584, "aux.acc_seg": 69.26895, "loss": 0.43874, "time": 0.72491} +{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.30032, "decode.acc_seg": 71.99247, "aux.loss_seg": 0.14939, "aux.acc_seg": 70.45798, "loss": 0.44971, "time": 0.72792} +{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.30239, "decode.acc_seg": 71.53004, "aux.loss_seg": 0.15016, "aux.acc_seg": 69.8177, "loss": 0.45255, "time": 0.73015} +{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.28997, "decode.acc_seg": 71.51418, "aux.loss_seg": 0.14424, "aux.acc_seg": 69.81851, "loss": 0.43421, "time": 0.73853} +{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.30426, "decode.acc_seg": 70.87099, "aux.loss_seg": 0.14591, "aux.acc_seg": 69.3344, "loss": 0.45017, "time": 0.73575} +{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28818, "decode.acc_seg": 71.50094, "aux.loss_seg": 0.14085, "aux.acc_seg": 70.04327, "loss": 0.42904, "time": 0.73706} +{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.28577, "decode.acc_seg": 70.97223, "aux.loss_seg": 0.14261, "aux.acc_seg": 69.12822, "loss": 0.42838, "time": 0.73362} +{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.27693, "decode.acc_seg": 71.00018, "aux.loss_seg": 0.13693, "aux.acc_seg": 69.35344, "loss": 0.41386, "time": 0.72694} +{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.30611, "decode.acc_seg": 71.58851, "aux.loss_seg": 0.14938, "aux.acc_seg": 69.98177, "loss": 0.45548, "time": 0.73164} +{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.30574, "decode.acc_seg": 71.08851, "aux.loss_seg": 0.15051, "aux.acc_seg": 69.45806, "loss": 0.45625, "time": 0.72825} +{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.30579, "decode.acc_seg": 70.7363, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.05036, "loss": 0.45692, "time": 0.73758} +{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.28173, "decode.acc_seg": 70.8026, "aux.loss_seg": 0.14076, "aux.acc_seg": 69.08723, "loss": 0.42248, "time": 0.73988} +{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.30228, "decode.acc_seg": 69.88921, "aux.loss_seg": 0.15248, "aux.acc_seg": 67.79164, "loss": 0.45477, "time": 0.73363} +{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 26851, "data_time": 0.24614, "decode.loss_seg": 0.30396, "decode.acc_seg": 70.85576, "aux.loss_seg": 0.15303, "aux.acc_seg": 69.05008, "loss": 0.45699, "time": 0.97303} +{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.30992, "decode.acc_seg": 71.17901, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.65692, "loss": 0.45967, "time": 0.72791} +{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.28708, "decode.acc_seg": 70.96742, "aux.loss_seg": 0.14511, "aux.acc_seg": 69.08206, "loss": 0.43219, "time": 0.7283} +{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.28393, "decode.acc_seg": 70.0587, "aux.loss_seg": 0.14387, "aux.acc_seg": 68.18089, "loss": 0.42779, "time": 0.73436} +{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.28637, "decode.acc_seg": 72.02565, "aux.loss_seg": 0.14478, "aux.acc_seg": 69.96661, "loss": 0.43115, "time": 0.73369} +{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.28935, "decode.acc_seg": 70.99333, "aux.loss_seg": 0.1438, "aux.acc_seg": 69.47211, "loss": 0.43315, "time": 0.73857} +{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.28505, "decode.acc_seg": 70.84478, "aux.loss_seg": 0.14216, "aux.acc_seg": 69.20127, "loss": 0.42721, "time": 0.74115} +{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 26851, "data_time": 0.00904, "decode.loss_seg": 0.28377, "decode.acc_seg": 70.56645, "aux.loss_seg": 0.14084, "aux.acc_seg": 68.87762, "loss": 0.42462, "time": 0.74519} +{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.29401, "decode.acc_seg": 72.34464, "aux.loss_seg": 0.14616, "aux.acc_seg": 70.65611, "loss": 0.44017, "time": 0.73128} +{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.2862, "decode.acc_seg": 71.62383, "aux.loss_seg": 0.1438, "aux.acc_seg": 69.93568, "loss": 0.43, "time": 0.73496} +{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 26851, "data_time": 0.00931, "decode.loss_seg": 0.29047, "decode.acc_seg": 71.07096, "aux.loss_seg": 0.144, "aux.acc_seg": 69.38417, "loss": 0.43447, "time": 0.73435} +{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.29801, "decode.acc_seg": 71.91444, "aux.loss_seg": 0.14828, "aux.acc_seg": 70.14557, "loss": 0.44629, "time": 0.72649} +{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.30215, "decode.acc_seg": 71.10731, "aux.loss_seg": 0.15215, "aux.acc_seg": 69.21696, "loss": 0.4543, "time": 0.72984} +{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.27715, "decode.acc_seg": 71.63319, "aux.loss_seg": 0.13795, "aux.acc_seg": 69.98565, "loss": 0.41511, "time": 0.73244} +{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.2826, "decode.acc_seg": 71.59093, "aux.loss_seg": 0.1398, "aux.acc_seg": 69.8675, "loss": 0.4224, "time": 0.73853} +{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.29097, "decode.acc_seg": 72.11869, "aux.loss_seg": 0.14268, "aux.acc_seg": 70.32999, "loss": 0.43365, "time": 0.73354} +{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.28536, "decode.acc_seg": 70.35951, "aux.loss_seg": 0.14253, "aux.acc_seg": 68.54105, "loss": 0.42789, "time": 0.73676} +{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.29162, "decode.acc_seg": 71.45356, "aux.loss_seg": 0.1421, "aux.acc_seg": 69.79495, "loss": 0.43371, "time": 0.73694} +{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.2886, "decode.acc_seg": 72.17686, "aux.loss_seg": 0.14472, "aux.acc_seg": 70.34857, "loss": 0.43331, "time": 0.73068} +{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.30535, "decode.acc_seg": 71.59807, "aux.loss_seg": 0.15173, "aux.acc_seg": 69.77131, "loss": 0.45708, "time": 0.72871} +{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.29245, "decode.acc_seg": 70.9378, "aux.loss_seg": 0.14302, "aux.acc_seg": 69.45404, "loss": 0.43546, "time": 0.73469} +{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.28966, "decode.acc_seg": 71.29973, "aux.loss_seg": 0.14449, "aux.acc_seg": 69.5437, "loss": 0.43415, "time": 0.73415} +{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.27023, "decode.acc_seg": 71.10523, "aux.loss_seg": 0.13432, "aux.acc_seg": 69.47295, "loss": 0.40454, "time": 0.7267} +{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.29152, "decode.acc_seg": 70.89994, "aux.loss_seg": 0.1444, "aux.acc_seg": 69.46348, "loss": 0.43593, "time": 0.72744} +{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.28642, "decode.acc_seg": 71.45772, "aux.loss_seg": 0.14544, "aux.acc_seg": 69.64835, "loss": 0.43186, "time": 0.7333} +{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 26851, "data_time": 0.2541, "decode.loss_seg": 0.29302, "decode.acc_seg": 72.25631, "aux.loss_seg": 0.14362, "aux.acc_seg": 70.7819, "loss": 0.43664, "time": 0.97773} +{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.27208, "decode.acc_seg": 73.46894, "aux.loss_seg": 0.1365, "aux.acc_seg": 71.7536, "loss": 0.40858, "time": 0.73567} +{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.27205, "decode.acc_seg": 70.91165, "aux.loss_seg": 0.13735, "aux.acc_seg": 69.12707, "loss": 0.4094, "time": 0.7375} +{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.28806, "decode.acc_seg": 70.51382, "aux.loss_seg": 0.14292, "aux.acc_seg": 68.83224, "loss": 0.43098, "time": 0.73973} +{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.30043, "decode.acc_seg": 71.29091, "aux.loss_seg": 0.14649, "aux.acc_seg": 69.6661, "loss": 0.44692, "time": 0.73211} +{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.27326, "decode.acc_seg": 72.04891, "aux.loss_seg": 0.14044, "aux.acc_seg": 70.0308, "loss": 0.4137, "time": 0.72904} +{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26737, "decode.acc_seg": 72.25197, "aux.loss_seg": 0.135, "aux.acc_seg": 70.57573, "loss": 0.40236, "time": 0.72321} +{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.26486, "decode.acc_seg": 72.12864, "aux.loss_seg": 0.13472, "aux.acc_seg": 70.24516, "loss": 0.39957, "time": 0.73202} +{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.2892, "decode.acc_seg": 70.65025, "aux.loss_seg": 0.14622, "aux.acc_seg": 68.89942, "loss": 0.43542, "time": 0.73232} +{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28957, "decode.acc_seg": 71.10879, "aux.loss_seg": 0.14654, "aux.acc_seg": 69.26481, "loss": 0.4361, "time": 0.73634} +{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.29443, "decode.acc_seg": 70.58508, "aux.loss_seg": 0.14815, "aux.acc_seg": 68.70679, "loss": 0.44258, "time": 0.73559} +{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.28525, "decode.acc_seg": 72.42803, "aux.loss_seg": 0.14246, "aux.acc_seg": 70.68423, "loss": 0.42771, "time": 0.7329} +{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.29371, "decode.acc_seg": 70.59379, "aux.loss_seg": 0.14685, "aux.acc_seg": 68.8902, "loss": 0.44056, "time": 0.73261} +{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28051, "decode.acc_seg": 72.44285, "aux.loss_seg": 0.14269, "aux.acc_seg": 70.43976, "loss": 0.4232, "time": 0.72678} +{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.27284, "decode.acc_seg": 72.63868, "aux.loss_seg": 0.13653, "aux.acc_seg": 71.00447, "loss": 0.40937, "time": 0.73038} +{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.28594, "decode.acc_seg": 71.31578, "aux.loss_seg": 0.14291, "aux.acc_seg": 69.52674, "loss": 0.42886, "time": 0.73321} +{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.27712, "decode.acc_seg": 72.27317, "aux.loss_seg": 0.14068, "aux.acc_seg": 70.49186, "loss": 0.41779, "time": 0.74034} +{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.2714, "decode.acc_seg": 71.96142, "aux.loss_seg": 0.13603, "aux.acc_seg": 70.35421, "loss": 0.40743, "time": 0.7361} +{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.27587, "decode.acc_seg": 70.82568, "aux.loss_seg": 0.13819, "aux.acc_seg": 69.22081, "loss": 0.41406, "time": 0.72738} +{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 26851, "data_time": 0.00888, "decode.loss_seg": 0.30102, "decode.acc_seg": 70.07486, "aux.loss_seg": 0.14997, "aux.acc_seg": 68.1128, "loss": 0.45099, "time": 0.73033} +{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.29155, "decode.acc_seg": 72.16287, "aux.loss_seg": 0.14551, "aux.acc_seg": 70.36141, "loss": 0.43707, "time": 0.72952} +{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.30228, "decode.acc_seg": 73.07101, "aux.loss_seg": 0.14804, "aux.acc_seg": 71.33, "loss": 0.45033, "time": 0.72891} +{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.28983, "decode.acc_seg": 70.3833, "aux.loss_seg": 0.14759, "aux.acc_seg": 68.43771, "loss": 0.43741, "time": 0.73826} +{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.28791, "decode.acc_seg": 71.08488, "aux.loss_seg": 0.14352, "aux.acc_seg": 69.28241, "loss": 0.43143, "time": 0.7335} +{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.29618, "decode.acc_seg": 71.57872, "aux.loss_seg": 0.14684, "aux.acc_seg": 69.82229, "loss": 0.44303, "time": 0.7336} +{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 26851, "data_time": 0.25279, "decode.loss_seg": 0.27194, "decode.acc_seg": 71.46453, "aux.loss_seg": 0.13669, "aux.acc_seg": 69.57239, "loss": 0.40862, "time": 0.97844} +{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.28864, "decode.acc_seg": 72.63608, "aux.loss_seg": 0.14668, "aux.acc_seg": 70.77157, "loss": 0.43532, "time": 0.73436} +{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.27542, "decode.acc_seg": 71.34863, "aux.loss_seg": 0.13552, "aux.acc_seg": 69.73172, "loss": 0.41094, "time": 0.73498} +{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.28411, "decode.acc_seg": 73.22829, "aux.loss_seg": 0.14481, "aux.acc_seg": 71.26906, "loss": 0.42892, "time": 0.73123} +{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.27389, "decode.acc_seg": 70.70106, "aux.loss_seg": 0.13854, "aux.acc_seg": 68.94485, "loss": 0.41243, "time": 0.73508} +{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.28275, "decode.acc_seg": 71.61839, "aux.loss_seg": 0.13886, "aux.acc_seg": 70.09448, "loss": 0.42161, "time": 0.73275} +{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.28165, "decode.acc_seg": 71.93168, "aux.loss_seg": 0.14115, "aux.acc_seg": 70.15341, "loss": 0.42281, "time": 0.73513} +{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.28699, "decode.acc_seg": 71.91508, "aux.loss_seg": 0.14577, "aux.acc_seg": 69.82408, "loss": 0.43277, "time": 0.73657} +{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.28785, "decode.acc_seg": 70.98664, "aux.loss_seg": 0.14408, "aux.acc_seg": 69.34195, "loss": 0.43193, "time": 0.73384} +{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.29249, "decode.acc_seg": 71.26005, "aux.loss_seg": 0.1462, "aux.acc_seg": 69.24758, "loss": 0.43868, "time": 0.73342} +{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.28429, "decode.acc_seg": 72.52507, "aux.loss_seg": 0.1411, "aux.acc_seg": 70.67743, "loss": 0.42538, "time": 0.7335} +{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.28999, "decode.acc_seg": 71.27441, "aux.loss_seg": 0.14529, "aux.acc_seg": 69.35892, "loss": 0.43528, "time": 0.734} +{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.28237, "decode.acc_seg": 71.16144, "aux.loss_seg": 0.13971, "aux.acc_seg": 69.57372, "loss": 0.42208, "time": 0.73776} +{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.26014, "decode.acc_seg": 72.2252, "aux.loss_seg": 0.13073, "aux.acc_seg": 70.62939, "loss": 0.39087, "time": 0.73761} +{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.2799, "decode.acc_seg": 70.70692, "aux.loss_seg": 0.14381, "aux.acc_seg": 68.7951, "loss": 0.42371, "time": 0.73436} +{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.28839, "decode.acc_seg": 72.39689, "aux.loss_seg": 0.14488, "aux.acc_seg": 70.54034, "loss": 0.43327, "time": 0.72691} +{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.27302, "decode.acc_seg": 72.51877, "aux.loss_seg": 0.14012, "aux.acc_seg": 70.63748, "loss": 0.41314, "time": 0.7316} +{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.28414, "decode.acc_seg": 69.66761, "aux.loss_seg": 0.14113, "aux.acc_seg": 67.93221, "loss": 0.42527, "time": 0.7316} +{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.27052, "decode.acc_seg": 72.2934, "aux.loss_seg": 0.1356, "aux.acc_seg": 70.69621, "loss": 0.40613, "time": 0.72659} +{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.27794, "decode.acc_seg": 71.93459, "aux.loss_seg": 0.13849, "aux.acc_seg": 70.46678, "loss": 0.41643, "time": 0.72914} +{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.29493, "decode.acc_seg": 72.21416, "aux.loss_seg": 0.14451, "aux.acc_seg": 70.47928, "loss": 0.43944, "time": 0.73386} +{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.27323, "decode.acc_seg": 71.10011, "aux.loss_seg": 0.13889, "aux.acc_seg": 69.24261, "loss": 0.41212, "time": 0.73727} +{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.27383, "decode.acc_seg": 70.75207, "aux.loss_seg": 0.13627, "aux.acc_seg": 69.05224, "loss": 0.41009, "time": 0.73404} +{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.27924, "decode.acc_seg": 71.92076, "aux.loss_seg": 0.14188, "aux.acc_seg": 70.00592, "loss": 0.42112, "time": 0.7316} +{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.27466, "decode.acc_seg": 71.22207, "aux.loss_seg": 0.14012, "aux.acc_seg": 69.3482, "loss": 0.41478, "time": 0.7289} +{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.29038, "decode.acc_seg": 71.96324, "aux.loss_seg": 0.14301, "aux.acc_seg": 70.29494, "loss": 0.43339, "time": 0.73446} +{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 26851, "data_time": 0.24476, "decode.loss_seg": 0.2777, "decode.acc_seg": 71.40436, "aux.loss_seg": 0.14024, "aux.acc_seg": 69.58108, "loss": 0.41794, "time": 0.96304} +{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.25497, "decode.acc_seg": 71.6037, "aux.loss_seg": 0.12976, "aux.acc_seg": 69.89768, "loss": 0.38473, "time": 0.72814} +{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.27932, "decode.acc_seg": 72.48543, "aux.loss_seg": 0.13937, "aux.acc_seg": 70.70331, "loss": 0.4187, "time": 0.73342} +{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.26883, "decode.acc_seg": 72.20429, "aux.loss_seg": 0.13575, "aux.acc_seg": 70.52072, "loss": 0.40457, "time": 0.72997} +{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.29248, "decode.acc_seg": 72.55778, "aux.loss_seg": 0.1469, "aux.acc_seg": 70.73665, "loss": 0.43937, "time": 0.73134} +{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.27037, "decode.acc_seg": 73.38934, "aux.loss_seg": 0.13807, "aux.acc_seg": 71.56665, "loss": 0.40844, "time": 0.72772} +{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.27876, "decode.acc_seg": 71.10549, "aux.loss_seg": 0.1429, "aux.acc_seg": 69.04994, "loss": 0.42166, "time": 0.73501} +{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.2919, "decode.acc_seg": 72.04965, "aux.loss_seg": 0.14456, "aux.acc_seg": 70.34618, "loss": 0.43647, "time": 0.73045} +{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.28959, "decode.acc_seg": 72.58535, "aux.loss_seg": 0.14576, "aux.acc_seg": 70.8542, "loss": 0.43535, "time": 0.72605} +{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.29444, "decode.acc_seg": 71.23017, "aux.loss_seg": 0.14758, "aux.acc_seg": 69.45097, "loss": 0.44202, "time": 0.733} +{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.28699, "decode.acc_seg": 72.39221, "aux.loss_seg": 0.14212, "aux.acc_seg": 70.61959, "loss": 0.42911, "time": 0.73156} +{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.27541, "decode.acc_seg": 72.19787, "aux.loss_seg": 0.13886, "aux.acc_seg": 70.34929, "loss": 0.41426, "time": 0.73009} +{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.28823, "decode.acc_seg": 71.84402, "aux.loss_seg": 0.14606, "aux.acc_seg": 70.01251, "loss": 0.43429, "time": 0.72972} +{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.27838, "decode.acc_seg": 72.29484, "aux.loss_seg": 0.1412, "aux.acc_seg": 70.43749, "loss": 0.41958, "time": 0.73533} +{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.26641, "decode.acc_seg": 71.09391, "aux.loss_seg": 0.13723, "aux.acc_seg": 68.97812, "loss": 0.40364, "time": 0.73111} +{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.27719, "decode.acc_seg": 72.02067, "aux.loss_seg": 0.14063, "aux.acc_seg": 70.28412, "loss": 0.41782, "time": 0.72696} +{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.466, "mAcc": 0.5916, "aAcc": 0.8165, "IoU.wall": 0.7549, "IoU.building": 0.8062, "IoU.sky": 0.9391, "IoU.floor": 0.8075, "IoU.tree": 0.7287, "IoU.ceiling": 0.8295, "IoU.road": 0.8254, "IoU.bed ": 0.8671, "IoU.windowpane": 0.5821, "IoU.grass": 0.6647, "IoU.cabinet": 0.5732, "IoU.sidewalk": 0.6265, "IoU.person": 0.768, "IoU.earth": 0.3588, "IoU.door": 0.4437, "IoU.table": 0.5512, "IoU.mountain": 0.4952, "IoU.plant": 0.5047, "IoU.curtain": 0.6877, "IoU.chair": 0.5389, "IoU.car": 0.8138, "IoU.water": 0.5625, "IoU.painting": 0.6628, "IoU.sofa": 0.6314, "IoU.shelf": 0.4408, "IoU.house": 0.3332, "IoU.sea": 0.5727, "IoU.mirror": 0.5452, "IoU.rug": 0.6555, "IoU.field": 0.2777, "IoU.armchair": 0.4178, "IoU.seat": 0.6737, "IoU.fence": 0.4562, "IoU.desk": 0.4612, "IoU.rock": 0.3915, "IoU.wardrobe": 0.452, "IoU.lamp": 0.5694, "IoU.bathtub": 0.73, "IoU.railing": 0.3539, "IoU.cushion": 0.5065, "IoU.base": 0.3181, "IoU.box": 0.2269, "IoU.column": 0.4013, "IoU.signboard": 0.3413, "IoU.chest of drawers": 0.3568, "IoU.counter": 0.3732, "IoU.sand": 0.4172, "IoU.sink": 0.6914, "IoU.skyscraper": 0.5575, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6587, "IoU.grandstand": 0.4378, "IoU.path": 0.1905, "IoU.stairs": 0.2262, "IoU.runway": 0.6969, "IoU.case": 0.4986, "IoU.pool table": 0.8953, "IoU.pillow": 0.5459, "IoU.screen door": 0.5104, "IoU.stairway": 0.2515, "IoU.river": 0.2047, "IoU.bridge": 0.683, "IoU.bookcase": 0.4198, "IoU.blind": NaN, "IoU.coffee table": 0.5299, "IoU.toilet": 0.8043, "IoU.flower": 0.4185, "IoU.book": 0.452, "IoU.hill": 0.0893, "IoU.bench": 0.5197, "IoU.countertop": 0.4979, "IoU.stove": 0.6663, "IoU.palm": 0.4873, "IoU.kitchen island": 0.3697, "IoU.computer": 0.5778, "IoU.swivel chair": 0.4292, "IoU.boat": 0.4111, "IoU.bar": 0.3478, "IoU.arcade machine": 0.5989, "IoU.hovel": 0.3405, "IoU.bus": 0.8324, "IoU.towel": 0.5882, "IoU.light": 0.5171, "IoU.truck": 0.1881, "IoU.tower": 0.3064, "IoU.chandelier": 0.6485, "IoU.awning": 0.2163, "IoU.streetlight": 0.1816, "IoU.booth": 0.5994, "IoU.television receiver": NaN, "IoU.airplane": 0.5628, "IoU.dirt track": 0.0031, "IoU.apparel": 0.2562, "IoU.pole": 0.1354, "IoU.land": 0.0396, "IoU.bannister": 0.0917, "IoU.escalator": 0.499, "IoU.ottoman": 0.3881, "IoU.bottle": NaN, "IoU.buffet": 0.4523, "IoU.poster": 0.2039, "IoU.stage": 0.2004, "IoU.van": 0.4138, "IoU.ship": 0.5273, "IoU.fountain": 0.338, "IoU.conveyer belt": 0.7366, "IoU.canopy": 0.2004, "IoU.washer": 0.6897, "IoU.plaything": 0.2133, "IoU.swimming pool": 0.6359, "IoU.stool": 0.3393, "IoU.barrel": 0.369, "IoU.basket": 0.3022, "IoU.waterfall": 0.4643, "IoU.tent": 0.9186, "IoU.bag": 0.124, "IoU.minibike": 0.709, "IoU.cradle": NaN, "IoU.oven": 0.2256, "IoU.ball": 0.466, "IoU.food": 0.5361, "IoU.step": 0.0798, "IoU.tank": 0.5397, "IoU.trade name": 0.1225, "IoU.microwave": 0.7499, "IoU.pot": 0.5333, "IoU.animal": NaN, "IoU.bicycle": 0.5107, "IoU.lake": 0.5391, "IoU.dishwasher": 0.496, "IoU.screen": 0.6909, "IoU.blanket": 0.1176, "IoU.sculpture": 0.5334, "IoU.hood": 0.5672, "IoU.sconce": 0.4094, "IoU.vase": 0.3402, "IoU.traffic light": 0.2444, "IoU.tray": 0.0479, "IoU.ashcan": 0.2852, "IoU.fan": 0.5607, "IoU.pier": 0.558, "IoU.crt screen": 0.0538, "IoU.plate": 0.5485, "IoU.monitor": 0.1258, "IoU.bulletin board": 0.3993, "IoU.shower": 0.0032, "IoU.radiator": 0.5835, "IoU.glass": 0.1274, "IoU.clock": 0.3438, "IoU.flag": 0.5705, "Acc.wall": 0.8691, "Acc.building": 0.9234, "Acc.sky": 0.9695, "Acc.floor": 0.8926, "Acc.tree": 0.854, "Acc.ceiling": 0.9127, "Acc.road": 0.9132, "Acc.bed ": 0.9464, "Acc.windowpane": 0.717, "Acc.grass": 0.8445, "Acc.cabinet": 0.7067, "Acc.sidewalk": 0.7758, "Acc.person": 0.8902, "Acc.earth": 0.4729, "Acc.door": 0.6231, "Acc.table": 0.7195, "Acc.mountain": 0.6023, "Acc.plant": 0.6544, "Acc.curtain": 0.8306, "Acc.chair": 0.6949, "Acc.car": 0.8969, "Acc.water": 0.7473, "Acc.painting": 0.8644, "Acc.sofa": 0.8081, "Acc.shelf": 0.6556, "Acc.house": 0.3945, "Acc.sea": 0.7472, "Acc.mirror": 0.7141, "Acc.rug": 0.8192, "Acc.field": 0.4811, "Acc.armchair": 0.5868, "Acc.seat": 0.8314, "Acc.fence": 0.6689, "Acc.desk": 0.6315, "Acc.rock": 0.5296, "Acc.wardrobe": 0.5894, "Acc.lamp": 0.6934, "Acc.bathtub": 0.805, "Acc.railing": 0.4637, "Acc.cushion": 0.6333, "Acc.base": 0.4539, "Acc.box": 0.2977, "Acc.column": 0.5146, "Acc.signboard": 0.4923, "Acc.chest of drawers": 0.5909, "Acc.counter": 0.4587, "Acc.sand": 0.7551, "Acc.sink": 0.7925, "Acc.skyscraper": 0.6974, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7295, "Acc.grandstand": 0.6768, "Acc.path": 0.2434, "Acc.stairs": 0.2595, "Acc.runway": 0.9137, "Acc.case": 0.6451, "Acc.pool table": 0.9654, "Acc.pillow": 0.708, "Acc.screen door": 0.6125, "Acc.stairway": 0.349, "Acc.river": 0.3582, "Acc.bridge": 0.8146, "Acc.bookcase": 0.5274, "Acc.blind": NaN, "Acc.coffee table": 0.7801, "Acc.toilet": 0.8888, "Acc.flower": 0.5869, "Acc.book": 0.5882, "Acc.hill": 0.1537, "Acc.bench": 0.6675, "Acc.countertop": 0.6555, "Acc.stove": 0.7964, "Acc.palm": 0.7326, "Acc.kitchen island": 0.6338, "Acc.computer": 0.7151, "Acc.swivel chair": 0.5899, "Acc.boat": 0.4805, "Acc.bar": 0.4675, "Acc.arcade machine": 0.6717, "Acc.hovel": 0.4298, "Acc.bus": 0.9495, "Acc.towel": 0.7867, "Acc.light": 0.5812, "Acc.truck": 0.2691, "Acc.tower": 0.519, "Acc.chandelier": 0.8271, "Acc.awning": 0.2369, "Acc.streetlight": 0.2325, "Acc.booth": 0.7106, "Acc.television receiver": NaN, "Acc.airplane": 0.6433, "Acc.dirt track": 0.0106, "Acc.apparel": 0.4636, "Acc.pole": 0.167, "Acc.land": 0.0515, "Acc.bannister": 0.1148, "Acc.escalator": 0.6477, "Acc.ottoman": 0.5226, "Acc.bottle": NaN, "Acc.buffet": 0.6059, "Acc.poster": 0.2739, "Acc.stage": 0.2903, "Acc.van": 0.5532, "Acc.ship": 0.8681, "Acc.fountain": 0.3483, "Acc.conveyer belt": 0.8608, "Acc.canopy": 0.2861, "Acc.washer": 0.7452, "Acc.plaything": 0.3439, "Acc.swimming pool": 0.752, "Acc.stool": 0.448, "Acc.barrel": 0.6494, "Acc.basket": 0.4143, "Acc.waterfall": 0.5039, "Acc.tent": 0.9731, "Acc.bag": 0.154, "Acc.minibike": 0.8866, "Acc.cradle": NaN, "Acc.oven": 0.3343, "Acc.ball": 0.6517, "Acc.food": 0.6707, "Acc.step": 0.0982, "Acc.tank": 0.6484, "Acc.trade name": 0.1303, "Acc.microwave": 0.8634, "Acc.pot": 0.5957, "Acc.animal": NaN, "Acc.bicycle": 0.7708, "Acc.lake": 0.5428, "Acc.dishwasher": 0.6574, "Acc.screen": 0.8947, "Acc.blanket": 0.1402, "Acc.sculpture": 0.7829, "Acc.hood": 0.7259, "Acc.sconce": 0.5283, "Acc.vase": 0.5012, "Acc.traffic light": 0.4087, "Acc.tray": 0.0976, "Acc.ashcan": 0.4992, "Acc.fan": 0.6863, "Acc.pier": 0.7739, "Acc.crt screen": 0.1371, "Acc.plate": 0.7155, "Acc.monitor": 0.1701, "Acc.bulletin board": 0.5125, "Acc.shower": 0.0154, "Acc.radiator": 0.6996, "Acc.glass": 0.1387, "Acc.clock": 0.4041, "Acc.flag": 0.6318} +{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 26851, "data_time": 1.83771, "decode.loss_seg": 0.27829, "decode.acc_seg": 70.73652, "aux.loss_seg": 0.13913, "aux.acc_seg": 68.85566, "loss": 0.41742, "time": 2.55629} +{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.26973, "decode.acc_seg": 72.17958, "aux.loss_seg": 0.13792, "aux.acc_seg": 70.29751, "loss": 0.40765, "time": 0.72645} +{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.27462, "decode.acc_seg": 71.91076, "aux.loss_seg": 0.13681, "aux.acc_seg": 70.2585, "loss": 0.41143, "time": 0.73259} +{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 26851, "data_time": 0.00728, "decode.loss_seg": 0.27899, "decode.acc_seg": 72.0856, "aux.loss_seg": 0.14061, "aux.acc_seg": 70.369, "loss": 0.41959, "time": 0.73438} +{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.26265, "decode.acc_seg": 72.74607, "aux.loss_seg": 0.1339, "aux.acc_seg": 71.04458, "loss": 0.39655, "time": 0.72821} +{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.27609, "decode.acc_seg": 72.51016, "aux.loss_seg": 0.13551, "aux.acc_seg": 70.90114, "loss": 0.41161, "time": 0.73106} +{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.27742, "decode.acc_seg": 71.90814, "aux.loss_seg": 0.14094, "aux.acc_seg": 69.81636, "loss": 0.41837, "time": 0.73298} +{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.27886, "decode.acc_seg": 71.17342, "aux.loss_seg": 0.13992, "aux.acc_seg": 69.43233, "loss": 0.41878, "time": 0.73307} +{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 26851, "data_time": 0.24647, "decode.loss_seg": 0.26622, "decode.acc_seg": 71.54125, "aux.loss_seg": 0.13679, "aux.acc_seg": 69.82181, "loss": 0.40301, "time": 0.97163} +{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.27285, "decode.acc_seg": 72.30525, "aux.loss_seg": 0.1387, "aux.acc_seg": 70.45006, "loss": 0.41154, "time": 0.7225} +{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.26227, "decode.acc_seg": 72.30423, "aux.loss_seg": 0.13374, "aux.acc_seg": 70.40746, "loss": 0.39601, "time": 0.72305} +{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.256, "decode.acc_seg": 71.33724, "aux.loss_seg": 0.13288, "aux.acc_seg": 69.46218, "loss": 0.38887, "time": 0.72604} +{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.25546, "decode.acc_seg": 71.87238, "aux.loss_seg": 0.12723, "aux.acc_seg": 70.22898, "loss": 0.38269, "time": 0.73147} +{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.28398, "decode.acc_seg": 72.0034, "aux.loss_seg": 0.14171, "aux.acc_seg": 70.29728, "loss": 0.42569, "time": 0.73212} +{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26858, "decode.acc_seg": 72.9198, "aux.loss_seg": 0.13752, "aux.acc_seg": 71.05358, "loss": 0.4061, "time": 0.73403} +{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.27799, "decode.acc_seg": 72.48771, "aux.loss_seg": 0.14169, "aux.acc_seg": 70.5658, "loss": 0.41968, "time": 0.72638} +{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.28215, "decode.acc_seg": 72.23496, "aux.loss_seg": 0.14033, "aux.acc_seg": 70.53215, "loss": 0.42248, "time": 0.72915} +{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.277, "decode.acc_seg": 71.45426, "aux.loss_seg": 0.13754, "aux.acc_seg": 69.75421, "loss": 0.41454, "time": 0.72111} +{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.28184, "decode.acc_seg": 71.31257, "aux.loss_seg": 0.14053, "aux.acc_seg": 69.70556, "loss": 0.42237, "time": 0.7268} +{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.27638, "decode.acc_seg": 73.84363, "aux.loss_seg": 0.13796, "aux.acc_seg": 72.2078, "loss": 0.41433, "time": 0.7292} +{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26734, "decode.acc_seg": 72.55756, "aux.loss_seg": 0.13757, "aux.acc_seg": 70.64366, "loss": 0.40491, "time": 0.7377} +{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.27973, "decode.acc_seg": 71.03925, "aux.loss_seg": 0.14159, "aux.acc_seg": 69.11956, "loss": 0.42131, "time": 0.73282} +{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.26243, "decode.acc_seg": 71.42463, "aux.loss_seg": 0.13243, "aux.acc_seg": 69.7159, "loss": 0.39486, "time": 0.72398} +{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.25702, "decode.acc_seg": 71.53736, "aux.loss_seg": 0.13109, "aux.acc_seg": 69.72234, "loss": 0.38811, "time": 0.72996} +{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.26718, "decode.acc_seg": 72.81137, "aux.loss_seg": 0.13643, "aux.acc_seg": 70.96588, "loss": 0.40361, "time": 0.73387} +{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.27318, "decode.acc_seg": 71.76878, "aux.loss_seg": 0.13829, "aux.acc_seg": 69.8243, "loss": 0.41147, "time": 0.73675} +{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 26851, "data_time": 0.00909, "decode.loss_seg": 0.26902, "decode.acc_seg": 71.60151, "aux.loss_seg": 0.13611, "aux.acc_seg": 69.93841, "loss": 0.40513, "time": 0.7344} +{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.2755, "decode.acc_seg": 71.61609, "aux.loss_seg": 0.13981, "aux.acc_seg": 69.85884, "loss": 0.41531, "time": 0.73351} +{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.28129, "decode.acc_seg": 72.50199, "aux.loss_seg": 0.14259, "aux.acc_seg": 70.55418, "loss": 0.42388, "time": 0.72793} +{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.2822, "decode.acc_seg": 70.93544, "aux.loss_seg": 0.14104, "aux.acc_seg": 69.11639, "loss": 0.42324, "time": 0.72734} +{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.27591, "decode.acc_seg": 72.5438, "aux.loss_seg": 0.13778, "aux.acc_seg": 70.76853, "loss": 0.41369, "time": 0.7295} +{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.27899, "decode.acc_seg": 72.5343, "aux.loss_seg": 0.14091, "aux.acc_seg": 70.72715, "loss": 0.4199, "time": 0.73048} +{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.27425, "decode.acc_seg": 72.37505, "aux.loss_seg": 0.13774, "aux.acc_seg": 70.50791, "loss": 0.41198, "time": 0.73121} +{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 26851, "data_time": 0.24688, "decode.loss_seg": 0.26685, "decode.acc_seg": 71.38954, "aux.loss_seg": 0.13418, "aux.acc_seg": 69.55665, "loss": 0.40102, "time": 0.97496} +{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.27545, "decode.acc_seg": 72.38035, "aux.loss_seg": 0.14129, "aux.acc_seg": 70.53618, "loss": 0.41674, "time": 0.73248} +{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.28035, "decode.acc_seg": 71.89666, "aux.loss_seg": 0.14199, "aux.acc_seg": 70.14641, "loss": 0.42234, "time": 0.73172} +{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.26771, "decode.acc_seg": 70.0161, "aux.loss_seg": 0.13466, "aux.acc_seg": 68.15054, "loss": 0.40237, "time": 0.73907} +{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.27246, "decode.acc_seg": 72.40773, "aux.loss_seg": 0.13532, "aux.acc_seg": 70.9039, "loss": 0.40778, "time": 0.73588} +{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.27519, "decode.acc_seg": 73.23138, "aux.loss_seg": 0.13796, "aux.acc_seg": 71.48493, "loss": 0.41315, "time": 0.7299} +{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.27003, "decode.acc_seg": 71.32475, "aux.loss_seg": 0.13277, "aux.acc_seg": 69.78393, "loss": 0.4028, "time": 0.72643} +{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.28115, "decode.acc_seg": 71.09915, "aux.loss_seg": 0.13906, "aux.acc_seg": 69.33733, "loss": 0.42021, "time": 0.73686} +{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.28525, "decode.acc_seg": 71.77861, "aux.loss_seg": 0.14402, "aux.acc_seg": 69.76355, "loss": 0.42926, "time": 0.72689} +{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.27142, "decode.acc_seg": 72.18034, "aux.loss_seg": 0.13603, "aux.acc_seg": 70.46113, "loss": 0.40746, "time": 0.73023} +{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.2713, "decode.acc_seg": 71.97525, "aux.loss_seg": 0.13533, "aux.acc_seg": 70.22369, "loss": 0.40663, "time": 0.72832} +{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.26769, "decode.acc_seg": 71.82894, "aux.loss_seg": 0.13631, "aux.acc_seg": 69.88394, "loss": 0.404, "time": 0.72965} +{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.27256, "decode.acc_seg": 72.94999, "aux.loss_seg": 0.13663, "aux.acc_seg": 71.2087, "loss": 0.40918, "time": 0.73291} +{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.26907, "decode.acc_seg": 73.4639, "aux.loss_seg": 0.13716, "aux.acc_seg": 71.49056, "loss": 0.40623, "time": 0.73016} +{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.28337, "decode.acc_seg": 71.94366, "aux.loss_seg": 0.14046, "aux.acc_seg": 70.30727, "loss": 0.42383, "time": 0.72408} +{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.27295, "decode.acc_seg": 73.09023, "aux.loss_seg": 0.1404, "aux.acc_seg": 71.04165, "loss": 0.41335, "time": 0.73114} +{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.27645, "decode.acc_seg": 70.82143, "aux.loss_seg": 0.13834, "aux.acc_seg": 69.08118, "loss": 0.41479, "time": 0.73514} +{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.28542, "decode.acc_seg": 72.25817, "aux.loss_seg": 0.14345, "aux.acc_seg": 70.46511, "loss": 0.42888, "time": 0.73236} +{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.27933, "decode.acc_seg": 71.61426, "aux.loss_seg": 0.14032, "aux.acc_seg": 70.02649, "loss": 0.41966, "time": 0.74053} +{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.25922, "decode.acc_seg": 72.02768, "aux.loss_seg": 0.13191, "aux.acc_seg": 70.30155, "loss": 0.39113, "time": 0.72772} +{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28224, "decode.acc_seg": 70.85596, "aux.loss_seg": 0.14234, "aux.acc_seg": 68.9622, "loss": 0.42458, "time": 0.73049} +{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.27938, "decode.acc_seg": 71.37725, "aux.loss_seg": 0.13858, "aux.acc_seg": 69.70925, "loss": 0.41797, "time": 0.72893} +{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.26791, "decode.acc_seg": 71.30481, "aux.loss_seg": 0.13774, "aux.acc_seg": 69.3491, "loss": 0.40565, "time": 0.73428} +{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.25248, "decode.acc_seg": 73.036, "aux.loss_seg": 0.13017, "aux.acc_seg": 71.20612, "loss": 0.38265, "time": 0.74261} +{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.29451, "decode.acc_seg": 71.58319, "aux.loss_seg": 0.1466, "aux.acc_seg": 69.84452, "loss": 0.44111, "time": 0.73476} +{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 26851, "data_time": 0.2479, "decode.loss_seg": 0.27372, "decode.acc_seg": 71.46691, "aux.loss_seg": 0.13995, "aux.acc_seg": 69.72828, "loss": 0.41367, "time": 0.97236} +{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.25842, "decode.acc_seg": 72.72085, "aux.loss_seg": 0.13006, "aux.acc_seg": 71.03145, "loss": 0.38849, "time": 0.73031} +{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.28008, "decode.acc_seg": 71.12166, "aux.loss_seg": 0.14059, "aux.acc_seg": 69.3447, "loss": 0.42067, "time": 0.72462} +{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.25392, "decode.acc_seg": 72.05806, "aux.loss_seg": 0.13151, "aux.acc_seg": 70.14926, "loss": 0.38544, "time": 0.72878} +{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.26681, "decode.acc_seg": 71.91798, "aux.loss_seg": 0.13399, "aux.acc_seg": 70.21631, "loss": 0.40081, "time": 0.73413} +{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.25828, "decode.acc_seg": 70.7779, "aux.loss_seg": 0.13313, "aux.acc_seg": 69.01218, "loss": 0.39141, "time": 0.73194} +{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.26807, "decode.acc_seg": 71.43843, "aux.loss_seg": 0.13728, "aux.acc_seg": 69.49541, "loss": 0.40536, "time": 0.73259} +{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.26662, "decode.acc_seg": 72.30899, "aux.loss_seg": 0.13503, "aux.acc_seg": 70.42863, "loss": 0.40165, "time": 0.73561} +{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.27564, "decode.acc_seg": 72.93692, "aux.loss_seg": 0.1374, "aux.acc_seg": 71.30966, "loss": 0.41304, "time": 0.73297} +{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.26663, "decode.acc_seg": 72.12735, "aux.loss_seg": 0.13301, "aux.acc_seg": 70.50993, "loss": 0.39964, "time": 0.73565} +{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.26423, "decode.acc_seg": 73.26212, "aux.loss_seg": 0.13214, "aux.acc_seg": 71.56022, "loss": 0.39637, "time": 0.73713} +{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.26148, "decode.acc_seg": 72.40648, "aux.loss_seg": 0.13266, "aux.acc_seg": 70.67778, "loss": 0.39414, "time": 0.72752} +{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.27757, "decode.acc_seg": 72.27197, "aux.loss_seg": 0.1397, "aux.acc_seg": 70.35561, "loss": 0.41727, "time": 0.73498} +{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.26433, "decode.acc_seg": 72.95936, "aux.loss_seg": 0.13497, "aux.acc_seg": 71.21178, "loss": 0.3993, "time": 0.72753} +{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.27381, "decode.acc_seg": 71.99177, "aux.loss_seg": 0.13697, "aux.acc_seg": 70.45557, "loss": 0.41078, "time": 0.73391} +{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.27787, "decode.acc_seg": 71.40874, "aux.loss_seg": 0.14153, "aux.acc_seg": 69.46991, "loss": 0.4194, "time": 0.73317} +{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.27323, "decode.acc_seg": 73.69657, "aux.loss_seg": 0.13909, "aux.acc_seg": 71.94081, "loss": 0.41232, "time": 0.73327} +{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.25964, "decode.acc_seg": 71.78615, "aux.loss_seg": 0.13175, "aux.acc_seg": 70.09408, "loss": 0.39139, "time": 0.73319} +{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.27486, "decode.acc_seg": 72.64889, "aux.loss_seg": 0.13588, "aux.acc_seg": 71.01562, "loss": 0.41074, "time": 0.72353} +{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.26167, "decode.acc_seg": 72.17116, "aux.loss_seg": 0.13292, "aux.acc_seg": 70.34723, "loss": 0.39459, "time": 0.72923} +{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.26359, "decode.acc_seg": 72.92641, "aux.loss_seg": 0.13274, "aux.acc_seg": 71.20693, "loss": 0.39632, "time": 0.72839} +{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.2597, "decode.acc_seg": 71.91283, "aux.loss_seg": 0.13239, "aux.acc_seg": 70.19463, "loss": 0.39209, "time": 0.73341} +{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.27635, "decode.acc_seg": 72.71727, "aux.loss_seg": 0.13894, "aux.acc_seg": 70.91379, "loss": 0.41529, "time": 0.73418} +{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.26743, "decode.acc_seg": 72.42726, "aux.loss_seg": 0.13992, "aux.acc_seg": 70.53176, "loss": 0.40734, "time": 0.73847} +{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.2795, "decode.acc_seg": 71.66701, "aux.loss_seg": 0.13879, "aux.acc_seg": 70.08176, "loss": 0.41829, "time": 0.73959} +{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.25877, "decode.acc_seg": 71.17861, "aux.loss_seg": 0.13379, "aux.acc_seg": 69.26195, "loss": 0.39256, "time": 0.73296} +{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 26851, "data_time": 0.24543, "decode.loss_seg": 0.25283, "decode.acc_seg": 72.66094, "aux.loss_seg": 0.12968, "aux.acc_seg": 71.02621, "loss": 0.38251, "time": 0.95868} +{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.25867, "decode.acc_seg": 72.05311, "aux.loss_seg": 0.13352, "aux.acc_seg": 70.12704, "loss": 0.39219, "time": 0.72399} +{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.25557, "decode.acc_seg": 71.27422, "aux.loss_seg": 0.12904, "aux.acc_seg": 69.61451, "loss": 0.3846, "time": 0.73109} +{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.26269, "decode.acc_seg": 72.68049, "aux.loss_seg": 0.13246, "aux.acc_seg": 70.87305, "loss": 0.39516, "time": 0.72877} +{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.27823, "decode.acc_seg": 71.0807, "aux.loss_seg": 0.13864, "aux.acc_seg": 69.36706, "loss": 0.41687, "time": 0.73594} +{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26741, "decode.acc_seg": 73.01726, "aux.loss_seg": 0.1361, "aux.acc_seg": 71.19906, "loss": 0.40352, "time": 0.73363} +{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.26516, "decode.acc_seg": 73.75287, "aux.loss_seg": 0.13508, "aux.acc_seg": 71.7715, "loss": 0.40025, "time": 0.7316} +{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.25999, "decode.acc_seg": 72.75921, "aux.loss_seg": 0.13244, "aux.acc_seg": 70.95694, "loss": 0.39244, "time": 0.72948} +{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.26499, "decode.acc_seg": 72.21027, "aux.loss_seg": 0.13282, "aux.acc_seg": 70.4082, "loss": 0.39781, "time": 0.72854} +{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.27882, "decode.acc_seg": 70.91473, "aux.loss_seg": 0.14035, "aux.acc_seg": 69.16419, "loss": 0.41917, "time": 0.72618} +{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.2973, "decode.acc_seg": 71.18192, "aux.loss_seg": 0.14676, "aux.acc_seg": 69.33816, "loss": 0.44407, "time": 0.73013} +{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.27515, "decode.acc_seg": 72.0545, "aux.loss_seg": 0.13723, "aux.acc_seg": 70.32537, "loss": 0.41237, "time": 0.73203} +{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.2718, "decode.acc_seg": 71.78871, "aux.loss_seg": 0.13623, "aux.acc_seg": 70.21596, "loss": 0.40803, "time": 0.74002} +{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.27214, "decode.acc_seg": 72.9484, "aux.loss_seg": 0.13783, "aux.acc_seg": 71.14773, "loss": 0.40997, "time": 0.73439} +{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.2736, "decode.acc_seg": 72.17311, "aux.loss_seg": 0.13782, "aux.acc_seg": 70.34082, "loss": 0.41142, "time": 0.73168} +{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.2641, "decode.acc_seg": 72.11039, "aux.loss_seg": 0.13403, "aux.acc_seg": 70.31363, "loss": 0.39812, "time": 0.72747} +{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.25082, "decode.acc_seg": 71.26952, "aux.loss_seg": 0.1282, "aux.acc_seg": 69.50156, "loss": 0.37902, "time": 0.72664} +{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.25747, "decode.acc_seg": 72.79357, "aux.loss_seg": 0.13203, "aux.acc_seg": 70.95153, "loss": 0.3895, "time": 0.72865} +{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.27051, "decode.acc_seg": 71.43084, "aux.loss_seg": 0.13605, "aux.acc_seg": 69.58095, "loss": 0.40656, "time": 0.73392} +{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.28895, "decode.acc_seg": 72.03841, "aux.loss_seg": 0.14359, "aux.acc_seg": 70.27105, "loss": 0.43254, "time": 0.73336} +{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.25357, "decode.acc_seg": 70.37272, "aux.loss_seg": 0.12864, "aux.acc_seg": 68.6396, "loss": 0.38221, "time": 0.73303} +{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.27871, "decode.acc_seg": 72.68063, "aux.loss_seg": 0.14, "aux.acc_seg": 70.74842, "loss": 0.41871, "time": 0.73722} +{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.26813, "decode.acc_seg": 72.68992, "aux.loss_seg": 0.13537, "aux.acc_seg": 70.88091, "loss": 0.40349, "time": 0.73262} +{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.28032, "decode.acc_seg": 70.65425, "aux.loss_seg": 0.14009, "aux.acc_seg": 68.89, "loss": 0.42041, "time": 0.72932} +{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.27204, "decode.acc_seg": 72.31415, "aux.loss_seg": 0.138, "aux.acc_seg": 70.47684, "loss": 0.41004, "time": 0.72432} +{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 26851, "data_time": 0.24224, "decode.loss_seg": 0.25236, "decode.acc_seg": 72.18616, "aux.loss_seg": 0.1268, "aux.acc_seg": 70.58457, "loss": 0.37916, "time": 0.9649} +{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.26081, "decode.acc_seg": 73.21188, "aux.loss_seg": 0.13311, "aux.acc_seg": 71.41735, "loss": 0.39393, "time": 0.7324} +{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.24885, "decode.acc_seg": 73.55946, "aux.loss_seg": 0.12738, "aux.acc_seg": 71.76309, "loss": 0.37623, "time": 0.73893} +{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.26062, "decode.acc_seg": 73.03004, "aux.loss_seg": 0.13425, "aux.acc_seg": 71.13305, "loss": 0.39487, "time": 0.7307} +{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.26483, "decode.acc_seg": 71.97444, "aux.loss_seg": 0.13558, "aux.acc_seg": 70.24114, "loss": 0.40041, "time": 0.73199} +{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.26942, "decode.acc_seg": 71.08293, "aux.loss_seg": 0.13789, "aux.acc_seg": 69.05394, "loss": 0.40731, "time": 0.74257} +{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.26823, "decode.acc_seg": 71.49555, "aux.loss_seg": 0.13638, "aux.acc_seg": 69.63242, "loss": 0.40461, "time": 0.73358} +{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.2724, "decode.acc_seg": 72.15868, "aux.loss_seg": 0.13703, "aux.acc_seg": 70.48481, "loss": 0.40943, "time": 0.72978} +{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.28141, "decode.acc_seg": 71.7242, "aux.loss_seg": 0.13885, "aux.acc_seg": 69.94996, "loss": 0.42026, "time": 0.73596} +{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.26007, "decode.acc_seg": 72.65036, "aux.loss_seg": 0.13207, "aux.acc_seg": 70.76855, "loss": 0.39214, "time": 0.73782} +{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.27296, "decode.acc_seg": 72.6227, "aux.loss_seg": 0.14008, "aux.acc_seg": 70.63619, "loss": 0.41305, "time": 0.73412} +{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.27198, "decode.acc_seg": 71.71873, "aux.loss_seg": 0.13716, "aux.acc_seg": 69.96927, "loss": 0.40914, "time": 0.7327} +{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.25381, "decode.acc_seg": 72.08504, "aux.loss_seg": 0.13067, "aux.acc_seg": 70.15813, "loss": 0.38447, "time": 0.73478} +{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.2509, "decode.acc_seg": 72.76861, "aux.loss_seg": 0.12705, "aux.acc_seg": 71.03391, "loss": 0.37796, "time": 0.73448} +{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.25532, "decode.acc_seg": 71.47849, "aux.loss_seg": 0.13101, "aux.acc_seg": 69.67283, "loss": 0.38633, "time": 0.74085} +{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.27068, "decode.acc_seg": 73.20883, "aux.loss_seg": 0.13811, "aux.acc_seg": 71.35962, "loss": 0.40879, "time": 0.73427} +{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.26121, "decode.acc_seg": 73.72523, "aux.loss_seg": 0.13476, "aux.acc_seg": 71.82502, "loss": 0.39596, "time": 0.72826} +{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.26529, "decode.acc_seg": 72.76188, "aux.loss_seg": 0.13447, "aux.acc_seg": 70.88183, "loss": 0.39975, "time": 0.72331} +{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.28444, "decode.acc_seg": 70.70796, "aux.loss_seg": 0.14146, "aux.acc_seg": 69.0689, "loss": 0.4259, "time": 0.72965} +{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.24869, "decode.acc_seg": 72.43069, "aux.loss_seg": 0.12582, "aux.acc_seg": 70.70053, "loss": 0.37451, "time": 0.72753} +{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.26579, "decode.acc_seg": 72.69527, "aux.loss_seg": 0.1346, "aux.acc_seg": 70.88666, "loss": 0.40039, "time": 0.73793} +{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.25892, "decode.acc_seg": 70.91293, "aux.loss_seg": 0.12861, "aux.acc_seg": 69.35266, "loss": 0.38753, "time": 0.73598} +{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.27865, "decode.acc_seg": 71.99097, "aux.loss_seg": 0.13995, "aux.acc_seg": 70.28546, "loss": 0.4186, "time": 0.73104} +{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.26738, "decode.acc_seg": 72.65178, "aux.loss_seg": 0.1347, "aux.acc_seg": 70.99848, "loss": 0.40208, "time": 0.72357} +{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.27452, "decode.acc_seg": 72.32786, "aux.loss_seg": 0.13847, "aux.acc_seg": 70.62467, "loss": 0.41299, "time": 0.72634} +{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 26851, "data_time": 0.24448, "decode.loss_seg": 0.27312, "decode.acc_seg": 71.21878, "aux.loss_seg": 0.14163, "aux.acc_seg": 69.11115, "loss": 0.41476, "time": 0.96652} +{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.24954, "decode.acc_seg": 74.17008, "aux.loss_seg": 0.12804, "aux.acc_seg": 72.26154, "loss": 0.37758, "time": 0.72897} +{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25738, "decode.acc_seg": 70.5444, "aux.loss_seg": 0.13114, "aux.acc_seg": 68.8338, "loss": 0.38851, "time": 0.73139} +{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.25248, "decode.acc_seg": 73.39804, "aux.loss_seg": 0.12985, "aux.acc_seg": 71.42493, "loss": 0.38233, "time": 0.73881} +{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.26865, "decode.acc_seg": 70.43969, "aux.loss_seg": 0.1367, "aux.acc_seg": 68.49688, "loss": 0.40535, "time": 0.73259} +{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.27123, "decode.acc_seg": 72.61655, "aux.loss_seg": 0.13761, "aux.acc_seg": 70.78946, "loss": 0.40884, "time": 0.72856} +{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.25774, "decode.acc_seg": 71.97376, "aux.loss_seg": 0.13179, "aux.acc_seg": 70.11516, "loss": 0.38953, "time": 0.72956} +{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.26033, "decode.acc_seg": 71.20474, "aux.loss_seg": 0.13245, "aux.acc_seg": 69.4672, "loss": 0.39278, "time": 0.73239} +{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26271, "decode.acc_seg": 72.04145, "aux.loss_seg": 0.13247, "aux.acc_seg": 70.3403, "loss": 0.39518, "time": 0.72875} +{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.26124, "decode.acc_seg": 72.97134, "aux.loss_seg": 0.1337, "aux.acc_seg": 71.02317, "loss": 0.39494, "time": 0.7364} +{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.24724, "decode.acc_seg": 72.61965, "aux.loss_seg": 0.12525, "aux.acc_seg": 70.83893, "loss": 0.37248, "time": 0.73139} +{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.25054, "decode.acc_seg": 72.04933, "aux.loss_seg": 0.12638, "aux.acc_seg": 70.40332, "loss": 0.37692, "time": 0.73511} +{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.28303, "decode.acc_seg": 72.13564, "aux.loss_seg": 0.14613, "aux.acc_seg": 70.03036, "loss": 0.42916, "time": 0.7273} +{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.25998, "decode.acc_seg": 72.54964, "aux.loss_seg": 0.13146, "aux.acc_seg": 70.85886, "loss": 0.39144, "time": 0.73163} +{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.25126, "decode.acc_seg": 72.28755, "aux.loss_seg": 0.12585, "aux.acc_seg": 70.78919, "loss": 0.37711, "time": 0.728} +{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.27293, "decode.acc_seg": 71.52334, "aux.loss_seg": 0.13832, "aux.acc_seg": 69.60069, "loss": 0.41125, "time": 0.73754} +{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.25582, "decode.acc_seg": 71.98816, "aux.loss_seg": 0.13199, "aux.acc_seg": 70.11594, "loss": 0.38781, "time": 0.72928} +{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.26456, "decode.acc_seg": 71.99047, "aux.loss_seg": 0.13778, "aux.acc_seg": 69.99183, "loss": 0.40234, "time": 0.7355} +{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.2752, "decode.acc_seg": 72.1269, "aux.loss_seg": 0.1395, "aux.acc_seg": 70.38751, "loss": 0.4147, "time": 0.72907} +{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 26851, "data_time": 0.01005, "decode.loss_seg": 0.26732, "decode.acc_seg": 73.28836, "aux.loss_seg": 0.13267, "aux.acc_seg": 71.85971, "loss": 0.39999, "time": 0.7383} +{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 26851, "data_time": 0.00944, "decode.loss_seg": 0.26491, "decode.acc_seg": 71.89651, "aux.loss_seg": 0.13535, "aux.acc_seg": 70.03694, "loss": 0.40026, "time": 0.72803} +{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 26851, "data_time": 0.00908, "decode.loss_seg": 0.2515, "decode.acc_seg": 73.66354, "aux.loss_seg": 0.12927, "aux.acc_seg": 71.80157, "loss": 0.38077, "time": 0.7311} +{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.24379, "decode.acc_seg": 73.47159, "aux.loss_seg": 0.12472, "aux.acc_seg": 71.73405, "loss": 0.36851, "time": 0.73477} +{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 26851, "data_time": 0.00952, "decode.loss_seg": 0.26022, "decode.acc_seg": 71.17053, "aux.loss_seg": 0.13188, "aux.acc_seg": 69.38365, "loss": 0.3921, "time": 0.74266} +{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.26313, "decode.acc_seg": 70.95682, "aux.loss_seg": 0.1343, "aux.acc_seg": 69.2677, "loss": 0.39743, "time": 0.73241} +{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 26851, "data_time": 0.23842, "decode.loss_seg": 0.26299, "decode.acc_seg": 71.55669, "aux.loss_seg": 0.13162, "aux.acc_seg": 70.02488, "loss": 0.39461, "time": 0.96213} +{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.25915, "decode.acc_seg": 72.28742, "aux.loss_seg": 0.13292, "aux.acc_seg": 70.43912, "loss": 0.39207, "time": 0.72789} +{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.27135, "decode.acc_seg": 72.70121, "aux.loss_seg": 0.13712, "aux.acc_seg": 71.10229, "loss": 0.40847, "time": 0.73017} +{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.26463, "decode.acc_seg": 73.1848, "aux.loss_seg": 0.13583, "aux.acc_seg": 71.17139, "loss": 0.40046, "time": 0.72888} +{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.24372, "decode.acc_seg": 72.58166, "aux.loss_seg": 0.12741, "aux.acc_seg": 70.66916, "loss": 0.37113, "time": 0.7334} +{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.37694, "aux.loss_seg": 0.12745, "aux.acc_seg": 70.63527, "loss": 0.3768, "time": 0.7358} +{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26453, "decode.acc_seg": 71.49794, "aux.loss_seg": 0.13583, "aux.acc_seg": 69.62862, "loss": 0.40036, "time": 0.72587} +{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.2642, "decode.acc_seg": 71.9627, "aux.loss_seg": 0.13313, "aux.acc_seg": 70.13311, "loss": 0.39733, "time": 0.72423} +{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.2513, "decode.acc_seg": 71.54847, "aux.loss_seg": 0.12915, "aux.acc_seg": 69.78724, "loss": 0.38045, "time": 0.72253} +{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.26845, "decode.acc_seg": 73.08949, "aux.loss_seg": 0.13916, "aux.acc_seg": 71.16278, "loss": 0.40762, "time": 0.72791} +{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.2465, "decode.acc_seg": 72.33314, "aux.loss_seg": 0.12779, "aux.acc_seg": 70.47407, "loss": 0.37429, "time": 0.73172} +{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.2657, "decode.acc_seg": 72.04233, "aux.loss_seg": 0.13646, "aux.acc_seg": 70.23074, "loss": 0.40216, "time": 0.73404} +{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.25459, "decode.acc_seg": 71.08171, "aux.loss_seg": 0.13237, "aux.acc_seg": 69.04494, "loss": 0.38696, "time": 0.73113} +{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.2737, "decode.acc_seg": 72.2061, "aux.loss_seg": 0.13705, "aux.acc_seg": 70.4072, "loss": 0.41074, "time": 0.72615} +{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.24966, "decode.acc_seg": 73.1589, "aux.loss_seg": 0.12769, "aux.acc_seg": 71.3778, "loss": 0.37735, "time": 0.73338} +{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.26093, "decode.acc_seg": 73.16367, "aux.loss_seg": 0.13395, "aux.acc_seg": 71.29368, "loss": 0.39488, "time": 0.72671} +{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.25761, "decode.acc_seg": 72.95836, "aux.loss_seg": 0.13115, "aux.acc_seg": 71.2421, "loss": 0.38876, "time": 0.73402} +{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.26841, "decode.acc_seg": 70.9475, "aux.loss_seg": 0.1364, "aux.acc_seg": 69.21743, "loss": 0.40481, "time": 0.72958} +{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.27192, "decode.acc_seg": 70.91026, "aux.loss_seg": 0.1383, "aux.acc_seg": 69.04762, "loss": 0.41022, "time": 0.7316} +{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.23947, "decode.acc_seg": 72.10741, "aux.loss_seg": 0.12494, "aux.acc_seg": 70.27519, "loss": 0.36442, "time": 0.73018} +{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.25369, "decode.acc_seg": 72.48243, "aux.loss_seg": 0.12981, "aux.acc_seg": 70.81778, "loss": 0.3835, "time": 0.72279} +{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26431, "decode.acc_seg": 72.48974, "aux.loss_seg": 0.13304, "aux.acc_seg": 70.895, "loss": 0.39734, "time": 0.72372} +{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.27682, "decode.acc_seg": 71.10197, "aux.loss_seg": 0.13835, "aux.acc_seg": 69.41772, "loss": 0.41517, "time": 0.7311} +{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.26194, "decode.acc_seg": 72.38517, "aux.loss_seg": 0.13268, "aux.acc_seg": 70.64323, "loss": 0.39462, "time": 0.73083} +{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.24309, "decode.acc_seg": 71.97436, "aux.loss_seg": 0.1247, "aux.acc_seg": 70.22793, "loss": 0.36779, "time": 0.73609} +{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2647, "decode.acc_seg": 73.52309, "aux.loss_seg": 0.13322, "aux.acc_seg": 71.79778, "loss": 0.39791, "time": 0.73641} +{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 26851, "data_time": 0.24483, "decode.loss_seg": 0.248, "decode.acc_seg": 71.01315, "aux.loss_seg": 0.12776, "aux.acc_seg": 69.32102, "loss": 0.37575, "time": 0.96613} +{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.25953, "decode.acc_seg": 72.9488, "aux.loss_seg": 0.13259, "aux.acc_seg": 71.01628, "loss": 0.39212, "time": 0.72656} +{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.27281, "decode.acc_seg": 72.3787, "aux.loss_seg": 0.13733, "aux.acc_seg": 70.73764, "loss": 0.41014, "time": 0.73144} +{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.24382, "decode.acc_seg": 71.9265, "aux.loss_seg": 0.12459, "aux.acc_seg": 70.2329, "loss": 0.36841, "time": 0.73107} +{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.25435, "decode.acc_seg": 72.26951, "aux.loss_seg": 0.13038, "aux.acc_seg": 70.49691, "loss": 0.38473, "time": 0.73464} +{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.2622, "decode.acc_seg": 71.26258, "aux.loss_seg": 0.13314, "aux.acc_seg": 69.53878, "loss": 0.39534, "time": 0.73716} +{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 26851, "data_time": 0.0095, "decode.loss_seg": 0.24714, "decode.acc_seg": 74.31052, "aux.loss_seg": 0.12904, "aux.acc_seg": 72.39641, "loss": 0.37618, "time": 0.73236} +{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.26916, "decode.acc_seg": 73.62706, "aux.loss_seg": 0.13422, "aux.acc_seg": 71.96306, "loss": 0.40338, "time": 0.73233} +{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.26396, "decode.acc_seg": 70.67218, "aux.loss_seg": 0.13706, "aux.acc_seg": 68.74208, "loss": 0.40101, "time": 0.73289} +{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.25761, "decode.acc_seg": 72.29097, "aux.loss_seg": 0.13007, "aux.acc_seg": 70.6566, "loss": 0.38768, "time": 0.72768} +{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25164, "decode.acc_seg": 72.10789, "aux.loss_seg": 0.12827, "aux.acc_seg": 70.42599, "loss": 0.37991, "time": 0.7333} +{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.26338, "decode.acc_seg": 71.96932, "aux.loss_seg": 0.13248, "aux.acc_seg": 70.31282, "loss": 0.39586, "time": 0.72964} +{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.25886, "decode.acc_seg": 72.61371, "aux.loss_seg": 0.13229, "aux.acc_seg": 70.82817, "loss": 0.39116, "time": 0.73386} +{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.24384, "decode.acc_seg": 72.18166, "aux.loss_seg": 0.12377, "aux.acc_seg": 70.65048, "loss": 0.36762, "time": 0.72774} +{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.2559, "decode.acc_seg": 72.12819, "aux.loss_seg": 0.12898, "aux.acc_seg": 70.55229, "loss": 0.38488, "time": 0.73683} +{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.24751, "decode.acc_seg": 72.74024, "aux.loss_seg": 0.12694, "aux.acc_seg": 71.07378, "loss": 0.37446, "time": 0.72505} +{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.25675, "decode.acc_seg": 72.24465, "aux.loss_seg": 0.13548, "aux.acc_seg": 70.07765, "loss": 0.39224, "time": 0.72635} +{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.26182, "decode.acc_seg": 71.85413, "aux.loss_seg": 0.13031, "aux.acc_seg": 70.19317, "loss": 0.39213, "time": 0.73114} +{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25375, "decode.acc_seg": 73.85696, "aux.loss_seg": 0.12758, "aux.acc_seg": 72.2112, "loss": 0.38133, "time": 0.73287} +{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.26465, "decode.acc_seg": 72.30044, "aux.loss_seg": 0.13387, "aux.acc_seg": 70.36909, "loss": 0.39852, "time": 0.72972} +{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.25243, "decode.acc_seg": 72.63764, "aux.loss_seg": 0.12737, "aux.acc_seg": 70.97808, "loss": 0.3798, "time": 0.73163} +{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.24322, "decode.acc_seg": 72.85449, "aux.loss_seg": 0.12579, "aux.acc_seg": 71.03347, "loss": 0.36901, "time": 0.73144} +{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.25819, "decode.acc_seg": 73.66859, "aux.loss_seg": 0.13322, "aux.acc_seg": 71.66038, "loss": 0.39141, "time": 0.72491} +{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.26314, "decode.acc_seg": 72.9734, "aux.loss_seg": 0.13454, "aux.acc_seg": 71.09265, "loss": 0.39769, "time": 0.73233} +{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.24215, "decode.acc_seg": 72.16527, "aux.loss_seg": 0.12363, "aux.acc_seg": 70.38297, "loss": 0.36579, "time": 0.7294} +{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 26851, "data_time": 0.26042, "decode.loss_seg": 0.27135, "decode.acc_seg": 72.43188, "aux.loss_seg": 0.13262, "aux.acc_seg": 70.80133, "loss": 0.40397, "time": 0.98168} +{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.25024, "decode.acc_seg": 73.55815, "aux.loss_seg": 0.12764, "aux.acc_seg": 71.81356, "loss": 0.37788, "time": 0.73451} +{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.25911, "decode.acc_seg": 72.5064, "aux.loss_seg": 0.13302, "aux.acc_seg": 70.67315, "loss": 0.39212, "time": 0.73065} +{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.24064, "decode.acc_seg": 71.0257, "aux.loss_seg": 0.12437, "aux.acc_seg": 69.33745, "loss": 0.365, "time": 0.73575} +{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25225, "decode.acc_seg": 72.13641, "aux.loss_seg": 0.13069, "aux.acc_seg": 70.30175, "loss": 0.38295, "time": 0.73286} +{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.24978, "decode.acc_seg": 71.81238, "aux.loss_seg": 0.12947, "aux.acc_seg": 69.82315, "loss": 0.37925, "time": 0.73535} +{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.24448, "decode.acc_seg": 73.22078, "aux.loss_seg": 0.12443, "aux.acc_seg": 71.49096, "loss": 0.36891, "time": 0.73371} +{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.25352, "decode.acc_seg": 73.3501, "aux.loss_seg": 0.13239, "aux.acc_seg": 71.2886, "loss": 0.38591, "time": 0.7368} +{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.25935, "decode.acc_seg": 73.27912, "aux.loss_seg": 0.13299, "aux.acc_seg": 71.40708, "loss": 0.39234, "time": 0.73822} +{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.26241, "decode.acc_seg": 70.59448, "aux.loss_seg": 0.13374, "aux.acc_seg": 68.90884, "loss": 0.39614, "time": 0.73441} +{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.24108, "decode.acc_seg": 72.9288, "aux.loss_seg": 0.12216, "aux.acc_seg": 71.35896, "loss": 0.36324, "time": 0.72817} +{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.25008, "decode.acc_seg": 72.89119, "aux.loss_seg": 0.12927, "aux.acc_seg": 71.14094, "loss": 0.37935, "time": 0.72837} +{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.24951, "decode.acc_seg": 72.78831, "aux.loss_seg": 0.12915, "aux.acc_seg": 71.02958, "loss": 0.37865, "time": 0.73483} +{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.24494, "decode.acc_seg": 71.92411, "aux.loss_seg": 0.12637, "aux.acc_seg": 70.17749, "loss": 0.37131, "time": 0.73596} +{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.26484, "decode.acc_seg": 72.1956, "aux.loss_seg": 0.12991, "aux.acc_seg": 70.57018, "loss": 0.39475, "time": 0.735} +{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.25128, "decode.acc_seg": 72.49663, "aux.loss_seg": 0.12766, "aux.acc_seg": 70.81535, "loss": 0.37894, "time": 0.73506} +{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.24911, "decode.acc_seg": 72.08256, "aux.loss_seg": 0.12621, "aux.acc_seg": 70.51689, "loss": 0.37532, "time": 0.73463} +{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.25997, "decode.acc_seg": 72.75516, "aux.loss_seg": 0.13082, "aux.acc_seg": 71.03675, "loss": 0.3908, "time": 0.72716} +{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.25986, "decode.acc_seg": 73.1844, "aux.loss_seg": 0.13263, "aux.acc_seg": 71.36073, "loss": 0.39249, "time": 0.72905} +{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.26787, "decode.acc_seg": 71.34694, "aux.loss_seg": 0.1375, "aux.acc_seg": 69.51492, "loss": 0.40537, "time": 0.73045} +{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.25938, "decode.acc_seg": 71.95827, "aux.loss_seg": 0.13115, "aux.acc_seg": 70.16816, "loss": 0.39053, "time": 0.73715} +{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.25423, "decode.acc_seg": 73.07371, "aux.loss_seg": 0.13153, "aux.acc_seg": 71.10031, "loss": 0.38577, "time": 0.73485} +{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.2593, "decode.acc_seg": 72.87689, "aux.loss_seg": 0.13209, "aux.acc_seg": 71.12561, "loss": 0.39139, "time": 0.73459} +{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2655, "decode.acc_seg": 71.61492, "aux.loss_seg": 0.13439, "aux.acc_seg": 69.78363, "loss": 0.39989, "time": 0.72781} +{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.25213, "decode.acc_seg": 71.90409, "aux.loss_seg": 0.12802, "aux.acc_seg": 70.17635, "loss": 0.38015, "time": 0.72754} +{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 26851, "data_time": 0.2544, "decode.loss_seg": 0.25699, "decode.acc_seg": 72.87393, "aux.loss_seg": 0.13021, "aux.acc_seg": 71.03156, "loss": 0.3872, "time": 0.97463} +{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.25154, "decode.acc_seg": 73.8045, "aux.loss_seg": 0.129, "aux.acc_seg": 71.93153, "loss": 0.38053, "time": 0.73218} +{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.2627, "decode.acc_seg": 71.89824, "aux.loss_seg": 0.13363, "aux.acc_seg": 70.11321, "loss": 0.39633, "time": 0.73244} +{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.2509, "decode.acc_seg": 72.4234, "aux.loss_seg": 0.12642, "aux.acc_seg": 70.76627, "loss": 0.37732, "time": 0.73021} +{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26208, "decode.acc_seg": 74.08784, "aux.loss_seg": 0.13381, "aux.acc_seg": 72.23077, "loss": 0.3959, "time": 0.7311} +{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.25309, "decode.acc_seg": 72.54064, "aux.loss_seg": 0.12936, "aux.acc_seg": 70.6155, "loss": 0.38245, "time": 0.73412} +{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.24918, "decode.acc_seg": 72.35499, "aux.loss_seg": 0.12701, "aux.acc_seg": 70.63718, "loss": 0.37619, "time": 0.72795} +{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.25749, "decode.acc_seg": 74.62334, "aux.loss_seg": 0.13159, "aux.acc_seg": 72.6728, "loss": 0.38908, "time": 0.73403} +{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.25255, "decode.acc_seg": 73.008, "aux.loss_seg": 0.12849, "aux.acc_seg": 71.30756, "loss": 0.38103, "time": 0.72977} +{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.25535, "decode.acc_seg": 73.28749, "aux.loss_seg": 0.12921, "aux.acc_seg": 71.41305, "loss": 0.38456, "time": 0.73298} +{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.26513, "decode.acc_seg": 72.35737, "aux.loss_seg": 0.13243, "aux.acc_seg": 70.74833, "loss": 0.39757, "time": 0.73008} +{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.24642, "decode.acc_seg": 70.84542, "aux.loss_seg": 0.12879, "aux.acc_seg": 69.09047, "loss": 0.3752, "time": 0.73761} +{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.24593, "decode.acc_seg": 71.77572, "aux.loss_seg": 0.12716, "aux.acc_seg": 69.92384, "loss": 0.37309, "time": 0.73186} +{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.2545, "decode.acc_seg": 71.82842, "aux.loss_seg": 0.12847, "aux.acc_seg": 70.13512, "loss": 0.38297, "time": 0.72897} +{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.24823, "decode.acc_seg": 73.5339, "aux.loss_seg": 0.12637, "aux.acc_seg": 71.84122, "loss": 0.3746, "time": 0.72195} +{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.25275, "decode.acc_seg": 72.4644, "aux.loss_seg": 0.12828, "aux.acc_seg": 70.76607, "loss": 0.38103, "time": 0.72705} +{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.24352, "decode.acc_seg": 73.3316, "aux.loss_seg": 0.12401, "aux.acc_seg": 71.5907, "loss": 0.36753, "time": 0.7313} +{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.24925, "decode.acc_seg": 73.42704, "aux.loss_seg": 0.12867, "aux.acc_seg": 71.62784, "loss": 0.37793, "time": 0.7328} +{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.24333, "decode.acc_seg": 71.32354, "aux.loss_seg": 0.12836, "aux.acc_seg": 69.27133, "loss": 0.37169, "time": 0.7342} +{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.25259, "decode.acc_seg": 72.03232, "aux.loss_seg": 0.12867, "aux.acc_seg": 70.16794, "loss": 0.38126, "time": 0.72797} +{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.24718, "decode.acc_seg": 72.77388, "aux.loss_seg": 0.12569, "aux.acc_seg": 71.1316, "loss": 0.37287, "time": 0.73004} +{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.23184, "decode.acc_seg": 71.75973, "aux.loss_seg": 0.11974, "aux.acc_seg": 70.10235, "loss": 0.35158, "time": 0.72301} +{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.25205, "decode.acc_seg": 72.38203, "aux.loss_seg": 0.12942, "aux.acc_seg": 70.49439, "loss": 0.38147, "time": 0.73229} +{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.25024, "decode.acc_seg": 72.48504, "aux.loss_seg": 0.12725, "aux.acc_seg": 70.76815, "loss": 0.37749, "time": 0.73059} +{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.27237, "decode.acc_seg": 73.04225, "aux.loss_seg": 0.1388, "aux.acc_seg": 71.16141, "loss": 0.41116, "time": 0.73481} +{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 26851, "data_time": 0.25115, "decode.loss_seg": 0.27116, "decode.acc_seg": 71.63933, "aux.loss_seg": 0.13656, "aux.acc_seg": 69.92094, "loss": 0.40771, "time": 0.97249} +{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.25817, "decode.acc_seg": 73.42519, "aux.loss_seg": 0.13051, "aux.acc_seg": 71.7036, "loss": 0.38869, "time": 0.72673} +{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.24226, "decode.acc_seg": 72.42326, "aux.loss_seg": 0.12347, "aux.acc_seg": 70.71337, "loss": 0.36574, "time": 0.73212} +{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.24344, "decode.acc_seg": 73.08999, "aux.loss_seg": 0.12336, "aux.acc_seg": 71.4317, "loss": 0.3668, "time": 0.73224} +{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.24025, "decode.acc_seg": 73.0098, "aux.loss_seg": 0.12493, "aux.acc_seg": 71.13158, "loss": 0.36517, "time": 0.72557} +{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.26521, "decode.acc_seg": 70.58144, "aux.loss_seg": 0.13826, "aux.acc_seg": 68.52972, "loss": 0.40347, "time": 0.73932} +{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.24448, "decode.acc_seg": 73.40108, "aux.loss_seg": 0.12482, "aux.acc_seg": 71.61365, "loss": 0.3693, "time": 0.74026} +{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.24603, "decode.acc_seg": 73.84835, "aux.loss_seg": 0.12782, "aux.acc_seg": 71.92015, "loss": 0.37386, "time": 0.72881} +{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2443, "decode.acc_seg": 72.05863, "aux.loss_seg": 0.12635, "aux.acc_seg": 70.27211, "loss": 0.37065, "time": 0.72677} +{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.25096, "decode.acc_seg": 71.86985, "aux.loss_seg": 0.12907, "aux.acc_seg": 69.94637, "loss": 0.38003, "time": 0.72588} +{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.24268, "decode.acc_seg": 72.00875, "aux.loss_seg": 0.1216, "aux.acc_seg": 70.34298, "loss": 0.36428, "time": 0.72811} +{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.25217, "decode.acc_seg": 71.84262, "aux.loss_seg": 0.12967, "aux.acc_seg": 69.99892, "loss": 0.38184, "time": 0.73312} +{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.24096, "decode.acc_seg": 71.79328, "aux.loss_seg": 0.12457, "aux.acc_seg": 69.95793, "loss": 0.36554, "time": 0.73029} +{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.25761, "decode.acc_seg": 73.25099, "aux.loss_seg": 0.13145, "aux.acc_seg": 71.48284, "loss": 0.38907, "time": 0.73068} +{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.2436, "decode.acc_seg": 73.6801, "aux.loss_seg": 0.12445, "aux.acc_seg": 72.01765, "loss": 0.36805, "time": 0.727} +{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.2598, "decode.acc_seg": 71.91181, "aux.loss_seg": 0.13212, "aux.acc_seg": 70.25773, "loss": 0.39192, "time": 0.72791} +{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.25051, "decode.acc_seg": 71.69221, "aux.loss_seg": 0.13098, "aux.acc_seg": 69.69458, "loss": 0.3815, "time": 0.72653} +{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.24897, "decode.acc_seg": 72.67698, "aux.loss_seg": 0.12681, "aux.acc_seg": 71.05492, "loss": 0.37578, "time": 0.72697} +{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.25534, "decode.acc_seg": 70.44401, "aux.loss_seg": 0.12939, "aux.acc_seg": 68.65305, "loss": 0.38473, "time": 0.73709} +{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.24446, "decode.acc_seg": 73.22637, "aux.loss_seg": 0.12577, "aux.acc_seg": 71.42859, "loss": 0.37023, "time": 0.73149} +{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.24242, "decode.acc_seg": 72.47063, "aux.loss_seg": 0.12728, "aux.acc_seg": 70.5162, "loss": 0.3697, "time": 0.72996} +{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.25147, "decode.acc_seg": 72.83694, "aux.loss_seg": 0.1299, "aux.acc_seg": 71.02708, "loss": 0.38137, "time": 0.72993} +{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.24917, "decode.acc_seg": 71.68608, "aux.loss_seg": 0.1285, "aux.acc_seg": 69.71742, "loss": 0.37766, "time": 0.7349} +{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.258, "decode.acc_seg": 72.45716, "aux.loss_seg": 0.13303, "aux.acc_seg": 70.5534, "loss": 0.39103, "time": 0.72938} +{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.24721, "decode.acc_seg": 71.72421, "aux.loss_seg": 0.12928, "aux.acc_seg": 69.89372, "loss": 0.37649, "time": 0.73565} +{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.24752, "decode.acc_seg": 72.01291, "aux.loss_seg": 0.12854, "aux.acc_seg": 70.12691, "loss": 0.37606, "time": 0.7332} +{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 26851, "data_time": 0.25058, "decode.loss_seg": 0.24221, "decode.acc_seg": 73.90715, "aux.loss_seg": 0.1249, "aux.acc_seg": 72.14568, "loss": 0.3671, "time": 0.97425} +{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24479, "decode.acc_seg": 72.45035, "aux.loss_seg": 0.12884, "aux.acc_seg": 70.48773, "loss": 0.37364, "time": 0.73102} +{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.24346, "decode.acc_seg": 70.73598, "aux.loss_seg": 0.12449, "aux.acc_seg": 68.93583, "loss": 0.36794, "time": 0.73024} +{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.24881, "decode.acc_seg": 73.51474, "aux.loss_seg": 0.13059, "aux.acc_seg": 71.44801, "loss": 0.3794, "time": 0.729} +{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25546, "decode.acc_seg": 72.68056, "aux.loss_seg": 0.13228, "aux.acc_seg": 70.60899, "loss": 0.38774, "time": 0.73709} +{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.23809, "decode.acc_seg": 71.19178, "aux.loss_seg": 0.12493, "aux.acc_seg": 69.28139, "loss": 0.36302, "time": 0.734} +{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.2455, "decode.acc_seg": 72.18278, "aux.loss_seg": 0.12523, "aux.acc_seg": 70.45517, "loss": 0.37072, "time": 0.73813} +{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.24879, "decode.acc_seg": 72.39093, "aux.loss_seg": 0.129, "aux.acc_seg": 70.54181, "loss": 0.37779, "time": 0.73175} +{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.23773, "decode.acc_seg": 71.52299, "aux.loss_seg": 0.12286, "aux.acc_seg": 69.8175, "loss": 0.36059, "time": 0.73442} +{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.24204, "decode.acc_seg": 72.29774, "aux.loss_seg": 0.12429, "aux.acc_seg": 70.5568, "loss": 0.36633, "time": 0.73258} +{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.23351, "decode.acc_seg": 73.87393, "aux.loss_seg": 0.12144, "aux.acc_seg": 72.04698, "loss": 0.35494, "time": 0.72648} +{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.24133, "decode.acc_seg": 72.51864, "aux.loss_seg": 0.12309, "aux.acc_seg": 70.91581, "loss": 0.36442, "time": 0.72968} +{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.24101, "decode.acc_seg": 73.22401, "aux.loss_seg": 0.12271, "aux.acc_seg": 71.46543, "loss": 0.36373, "time": 0.73168} +{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.26102, "decode.acc_seg": 72.90795, "aux.loss_seg": 0.13425, "aux.acc_seg": 70.93995, "loss": 0.39527, "time": 0.73173} +{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.24325, "decode.acc_seg": 72.82547, "aux.loss_seg": 0.12651, "aux.acc_seg": 71.07793, "loss": 0.36976, "time": 0.72804} +{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.24422, "decode.acc_seg": 73.64784, "aux.loss_seg": 0.12286, "aux.acc_seg": 72.02799, "loss": 0.36708, "time": 0.72682} +{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.23928, "decode.acc_seg": 73.25567, "aux.loss_seg": 0.12447, "aux.acc_seg": 71.39125, "loss": 0.36376, "time": 0.72587} +{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.24525, "decode.acc_seg": 72.45348, "aux.loss_seg": 0.1259, "aux.acc_seg": 70.68664, "loss": 0.37115, "time": 0.73213} +{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.24311, "decode.acc_seg": 73.89873, "aux.loss_seg": 0.12654, "aux.acc_seg": 72.10441, "loss": 0.36965, "time": 0.7391} +{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.24318, "decode.acc_seg": 71.77801, "aux.loss_seg": 0.12615, "aux.acc_seg": 69.9864, "loss": 0.36933, "time": 0.73618} +{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.25509, "decode.acc_seg": 73.28466, "aux.loss_seg": 0.13066, "aux.acc_seg": 71.56925, "loss": 0.38576, "time": 0.72958} +{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.25005, "decode.acc_seg": 72.49236, "aux.loss_seg": 0.12542, "aux.acc_seg": 70.9733, "loss": 0.37547, "time": 0.73189} +{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.26165, "decode.acc_seg": 71.69244, "aux.loss_seg": 0.13228, "aux.acc_seg": 69.94863, "loss": 0.39393, "time": 0.72691} +{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.25201, "decode.acc_seg": 73.80076, "aux.loss_seg": 0.13173, "aux.acc_seg": 71.73616, "loss": 0.38374, "time": 0.72621} +{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.25224, "decode.acc_seg": 72.879, "aux.loss_seg": 0.13018, "aux.acc_seg": 70.97937, "loss": 0.38242, "time": 0.72731} +{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 26851, "data_time": 0.25014, "decode.loss_seg": 0.23755, "decode.acc_seg": 74.69691, "aux.loss_seg": 0.12659, "aux.acc_seg": 72.59246, "loss": 0.36414, "time": 0.9736} +{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.24739, "decode.acc_seg": 73.11745, "aux.loss_seg": 0.12732, "aux.acc_seg": 71.24866, "loss": 0.37472, "time": 0.73244} +{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.24635, "decode.acc_seg": 72.7676, "aux.loss_seg": 0.12673, "aux.acc_seg": 70.98646, "loss": 0.37308, "time": 0.73152} +{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.25525, "decode.acc_seg": 73.27927, "aux.loss_seg": 0.13093, "aux.acc_seg": 71.39919, "loss": 0.38618, "time": 0.72976} +{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.24449, "decode.acc_seg": 73.60357, "aux.loss_seg": 0.12506, "aux.acc_seg": 71.70306, "loss": 0.36955, "time": 0.73628} +{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.26797, "decode.acc_seg": 73.71336, "aux.loss_seg": 0.13622, "aux.acc_seg": 71.85468, "loss": 0.40419, "time": 0.72868} +{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.25128, "decode.acc_seg": 72.81469, "aux.loss_seg": 0.12907, "aux.acc_seg": 70.98391, "loss": 0.38036, "time": 0.72764} +{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.25137, "decode.acc_seg": 72.97839, "aux.loss_seg": 0.12711, "aux.acc_seg": 71.28749, "loss": 0.37849, "time": 0.72654} +{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4628, "mAcc": 0.5899, "aAcc": 0.8157, "IoU.wall": 0.7591, "IoU.building": 0.8078, "IoU.sky": 0.94, "IoU.floor": 0.8053, "IoU.tree": 0.7393, "IoU.ceiling": 0.8353, "IoU.road": 0.8289, "IoU.bed ": 0.8687, "IoU.windowpane": 0.5942, "IoU.grass": 0.6673, "IoU.cabinet": 0.5695, "IoU.sidewalk": 0.634, "IoU.person": 0.7713, "IoU.earth": 0.3412, "IoU.door": 0.4476, "IoU.table": 0.5427, "IoU.mountain": 0.5222, "IoU.plant": 0.5135, "IoU.curtain": 0.7129, "IoU.chair": 0.5263, "IoU.car": 0.8157, "IoU.water": 0.519, "IoU.painting": 0.7088, "IoU.sofa": 0.5781, "IoU.shelf": 0.4398, "IoU.house": 0.3063, "IoU.sea": 0.4863, "IoU.mirror": 0.5835, "IoU.rug": 0.6653, "IoU.field": 0.2345, "IoU.armchair": 0.3906, "IoU.seat": 0.614, "IoU.fence": 0.3493, "IoU.desk": 0.4689, "IoU.rock": 0.3855, "IoU.wardrobe": 0.4869, "IoU.lamp": 0.5868, "IoU.bathtub": 0.7156, "IoU.railing": 0.3632, "IoU.cushion": 0.5221, "IoU.base": 0.2844, "IoU.box": 0.2537, "IoU.column": 0.4065, "IoU.signboard": 0.3514, "IoU.chest of drawers": 0.3792, "IoU.counter": 0.3363, "IoU.sand": 0.369, "IoU.sink": 0.6808, "IoU.skyscraper": 0.5385, "IoU.fireplace": NaN, "IoU.refrigerator": 0.67, "IoU.grandstand": 0.4293, "IoU.path": 0.2461, "IoU.stairs": 0.3195, "IoU.runway": 0.7377, "IoU.case": 0.4644, "IoU.pool table": 0.9061, "IoU.pillow": 0.5237, "IoU.screen door": 0.6744, "IoU.stairway": 0.2541, "IoU.river": 0.0944, "IoU.bridge": 0.6837, "IoU.bookcase": 0.383, "IoU.blind": NaN, "IoU.coffee table": 0.4948, "IoU.toilet": 0.8005, "IoU.flower": 0.3942, "IoU.book": 0.4453, "IoU.hill": 0.1147, "IoU.bench": 0.4809, "IoU.countertop": 0.5253, "IoU.stove": 0.6609, "IoU.palm": 0.4518, "IoU.kitchen island": 0.352, "IoU.computer": 0.592, "IoU.swivel chair": 0.4376, "IoU.boat": 0.4445, "IoU.bar": 0.2854, "IoU.arcade machine": 0.769, "IoU.hovel": 0.2775, "IoU.bus": 0.8112, "IoU.towel": 0.6024, "IoU.light": 0.5389, "IoU.truck": 0.2173, "IoU.tower": 0.0938, "IoU.chandelier": 0.6535, "IoU.awning": 0.2898, "IoU.streetlight": 0.1993, "IoU.booth": 0.5722, "IoU.television receiver": NaN, "IoU.airplane": 0.5605, "IoU.dirt track": 0.0042, "IoU.apparel": 0.2543, "IoU.pole": 0.1368, "IoU.land": 0.0079, "IoU.bannister": 0.0815, "IoU.escalator": 0.4495, "IoU.ottoman": 0.3597, "IoU.bottle": NaN, "IoU.buffet": 0.3209, "IoU.poster": 0.2326, "IoU.stage": 0.2026, "IoU.van": 0.3957, "IoU.ship": 0.6833, "IoU.fountain": 0.4271, "IoU.conveyer belt": 0.7539, "IoU.canopy": 0.243, "IoU.washer": 0.6762, "IoU.plaything": 0.2005, "IoU.swimming pool": 0.6907, "IoU.stool": 0.3486, "IoU.barrel": 0.4068, "IoU.basket": 0.2757, "IoU.waterfall": 0.5766, "IoU.tent": 0.7573, "IoU.bag": 0.151, "IoU.minibike": 0.6742, "IoU.cradle": NaN, "IoU.oven": 0.1437, "IoU.ball": 0.4943, "IoU.food": 0.5518, "IoU.step": 0.0726, "IoU.tank": 0.5514, "IoU.trade name": 0.2423, "IoU.microwave": 0.7265, "IoU.pot": 0.5272, "IoU.animal": NaN, "IoU.bicycle": 0.5016, "IoU.lake": 0.5457, "IoU.dishwasher": 0.4544, "IoU.screen": 0.6599, "IoU.blanket": 0.1318, "IoU.sculpture": 0.5623, "IoU.hood": 0.5233, "IoU.sconce": 0.3804, "IoU.vase": 0.2965, "IoU.traffic light": 0.2525, "IoU.tray": 0.0381, "IoU.ashcan": 0.321, "IoU.fan": 0.5733, "IoU.pier": 0.5242, "IoU.crt screen": 0.0657, "IoU.plate": 0.5336, "IoU.monitor": 0.0444, "IoU.bulletin board": 0.3854, "IoU.shower": 0.0, "IoU.radiator": 0.5057, "IoU.glass": 0.1193, "IoU.clock": 0.3839, "IoU.flag": 0.5253, "Acc.wall": 0.8633, "Acc.building": 0.9197, "Acc.sky": 0.9722, "Acc.floor": 0.8892, "Acc.tree": 0.858, "Acc.ceiling": 0.9399, "Acc.road": 0.8825, "Acc.bed ": 0.9428, "Acc.windowpane": 0.7483, "Acc.grass": 0.8298, "Acc.cabinet": 0.7015, "Acc.sidewalk": 0.8249, "Acc.person": 0.9075, "Acc.earth": 0.4554, "Acc.door": 0.6393, "Acc.table": 0.7166, "Acc.mountain": 0.678, "Acc.plant": 0.6664, "Acc.curtain": 0.8407, "Acc.chair": 0.6648, "Acc.car": 0.9016, "Acc.water": 0.6691, "Acc.painting": 0.8651, "Acc.sofa": 0.747, "Acc.shelf": 0.5963, "Acc.house": 0.4017, "Acc.sea": 0.7097, "Acc.mirror": 0.6962, "Acc.rug": 0.7751, "Acc.field": 0.4283, "Acc.armchair": 0.5843, "Acc.seat": 0.846, "Acc.fence": 0.4555, "Acc.desk": 0.6465, "Acc.rock": 0.5898, "Acc.wardrobe": 0.7295, "Acc.lamp": 0.7152, "Acc.bathtub": 0.7833, "Acc.railing": 0.4859, "Acc.cushion": 0.6662, "Acc.base": 0.4005, "Acc.box": 0.3365, "Acc.column": 0.5143, "Acc.signboard": 0.5121, "Acc.chest of drawers": 0.5833, "Acc.counter": 0.4056, "Acc.sand": 0.5684, "Acc.sink": 0.784, "Acc.skyscraper": 0.6915, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8054, "Acc.grandstand": 0.691, "Acc.path": 0.3452, "Acc.stairs": 0.4421, "Acc.runway": 0.9634, "Acc.case": 0.6858, "Acc.pool table": 0.9657, "Acc.pillow": 0.6399, "Acc.screen door": 0.7868, "Acc.stairway": 0.3419, "Acc.river": 0.218, "Acc.bridge": 0.8477, "Acc.bookcase": 0.4814, "Acc.blind": NaN, "Acc.coffee table": 0.8131, "Acc.toilet": 0.8857, "Acc.flower": 0.6136, "Acc.book": 0.6842, "Acc.hill": 0.2242, "Acc.bench": 0.579, "Acc.countertop": 0.7355, "Acc.stove": 0.8181, "Acc.palm": 0.806, "Acc.kitchen island": 0.627, "Acc.computer": 0.713, "Acc.swivel chair": 0.6333, "Acc.boat": 0.588, "Acc.bar": 0.3676, "Acc.arcade machine": 0.8392, "Acc.hovel": 0.3941, "Acc.bus": 0.9525, "Acc.towel": 0.7335, "Acc.light": 0.6166, "Acc.truck": 0.3181, "Acc.tower": 0.1237, "Acc.chandelier": 0.8219, "Acc.awning": 0.3861, "Acc.streetlight": 0.2662, "Acc.booth": 0.6791, "Acc.television receiver": NaN, "Acc.airplane": 0.6627, "Acc.dirt track": 0.0105, "Acc.apparel": 0.3945, "Acc.pole": 0.1798, "Acc.land": 0.0109, "Acc.bannister": 0.1135, "Acc.escalator": 0.5638, "Acc.ottoman": 0.4486, "Acc.bottle": NaN, "Acc.buffet": 0.3482, "Acc.poster": 0.3734, "Acc.stage": 0.2871, "Acc.van": 0.5725, "Acc.ship": 0.9557, "Acc.fountain": 0.4554, "Acc.conveyer belt": 0.8775, "Acc.canopy": 0.2657, "Acc.washer": 0.7407, "Acc.plaything": 0.3613, "Acc.swimming pool": 0.7746, "Acc.stool": 0.5132, "Acc.barrel": 0.6472, "Acc.basket": 0.3885, "Acc.waterfall": 0.6989, "Acc.tent": 0.9815, "Acc.bag": 0.1841, "Acc.minibike": 0.8918, "Acc.cradle": NaN, "Acc.oven": 0.2002, "Acc.ball": 0.5602, "Acc.food": 0.6434, "Acc.step": 0.0793, "Acc.tank": 0.6354, "Acc.trade name": 0.2798, "Acc.microwave": 0.8385, "Acc.pot": 0.5909, "Acc.animal": NaN, "Acc.bicycle": 0.7383, "Acc.lake": 0.6353, "Acc.dishwasher": 0.5122, "Acc.screen": 0.9124, "Acc.blanket": 0.1538, "Acc.sculpture": 0.7194, "Acc.hood": 0.6689, "Acc.sconce": 0.4455, "Acc.vase": 0.488, "Acc.traffic light": 0.3609, "Acc.tray": 0.0624, "Acc.ashcan": 0.4259, "Acc.fan": 0.7465, "Acc.pier": 0.8166, "Acc.crt screen": 0.2055, "Acc.plate": 0.7206, "Acc.monitor": 0.07, "Acc.bulletin board": 0.5392, "Acc.shower": 0.0, "Acc.radiator": 0.5709, "Acc.glass": 0.127, "Acc.clock": 0.4523, "Acc.flag": 0.5802} +{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 26851, "data_time": 1.92856, "decode.loss_seg": 0.24948, "decode.acc_seg": 72.19958, "aux.loss_seg": 0.12885, "aux.acc_seg": 70.39145, "loss": 0.37834, "time": 2.65158} +{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.24428, "decode.acc_seg": 73.69163, "aux.loss_seg": 0.12524, "aux.acc_seg": 71.96381, "loss": 0.36952, "time": 0.7307} +{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.24844, "decode.acc_seg": 71.06108, "aux.loss_seg": 0.12842, "aux.acc_seg": 69.16702, "loss": 0.37686, "time": 0.73247} +{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.2522, "decode.acc_seg": 73.11948, "aux.loss_seg": 0.13013, "aux.acc_seg": 71.19156, "loss": 0.38234, "time": 0.74172} +{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.24524, "decode.acc_seg": 73.63424, "aux.loss_seg": 0.12634, "aux.acc_seg": 71.81383, "loss": 0.37158, "time": 0.73364} +{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.23067, "decode.acc_seg": 72.60852, "aux.loss_seg": 0.12092, "aux.acc_seg": 70.81306, "loss": 0.35158, "time": 0.73268} +{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.23688, "decode.acc_seg": 73.38977, "aux.loss_seg": 0.11973, "aux.acc_seg": 71.74279, "loss": 0.3566, "time": 0.73588} +{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.25089, "decode.acc_seg": 72.9215, "aux.loss_seg": 0.12957, "aux.acc_seg": 70.88324, "loss": 0.38046, "time": 0.73534} +{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.25974, "decode.acc_seg": 72.76168, "aux.loss_seg": 0.13375, "aux.acc_seg": 70.84359, "loss": 0.39349, "time": 0.73168} +{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.23844, "decode.acc_seg": 72.9042, "aux.loss_seg": 0.12205, "aux.acc_seg": 71.21676, "loss": 0.36049, "time": 0.72911} +{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.24138, "decode.acc_seg": 72.0922, "aux.loss_seg": 0.12293, "aux.acc_seg": 70.39361, "loss": 0.36431, "time": 0.72737} +{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.24421, "decode.acc_seg": 72.79603, "aux.loss_seg": 0.12498, "aux.acc_seg": 71.17423, "loss": 0.3692, "time": 0.7361} +{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.24957, "decode.acc_seg": 73.05717, "aux.loss_seg": 0.12819, "aux.acc_seg": 71.34947, "loss": 0.37776, "time": 0.73669} +{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.24233, "decode.acc_seg": 73.39383, "aux.loss_seg": 0.12475, "aux.acc_seg": 71.68012, "loss": 0.36708, "time": 0.73146} +{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.24987, "decode.acc_seg": 73.65761, "aux.loss_seg": 0.12772, "aux.acc_seg": 71.90281, "loss": 0.37759, "time": 0.73675} +{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.25016, "decode.acc_seg": 73.67632, "aux.loss_seg": 0.12692, "aux.acc_seg": 71.89986, "loss": 0.37709, "time": 0.73716} +{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 26851, "data_time": 0.25377, "decode.loss_seg": 0.24674, "decode.acc_seg": 72.24951, "aux.loss_seg": 0.12862, "aux.acc_seg": 70.40547, "loss": 0.37536, "time": 0.98766} +{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.24695, "decode.acc_seg": 72.08071, "aux.loss_seg": 0.12866, "aux.acc_seg": 70.23819, "loss": 0.3756, "time": 0.73278} +{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.24975, "decode.acc_seg": 72.32226, "aux.loss_seg": 0.12898, "aux.acc_seg": 70.42756, "loss": 0.37873, "time": 0.73399} +{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.23985, "decode.acc_seg": 73.14883, "aux.loss_seg": 0.12557, "aux.acc_seg": 71.21194, "loss": 0.36541, "time": 0.73325} +{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.24248, "decode.acc_seg": 72.69, "aux.loss_seg": 0.1248, "aux.acc_seg": 70.9058, "loss": 0.36729, "time": 0.7336} +{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.23248, "decode.acc_seg": 73.45514, "aux.loss_seg": 0.12174, "aux.acc_seg": 71.53663, "loss": 0.35422, "time": 0.73302} +{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.22944, "decode.acc_seg": 73.14989, "aux.loss_seg": 0.11751, "aux.acc_seg": 71.55305, "loss": 0.34696, "time": 0.73229} +{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.23882, "decode.acc_seg": 72.75543, "aux.loss_seg": 0.1249, "aux.acc_seg": 70.8484, "loss": 0.36372, "time": 0.73428} +{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.25416, "decode.acc_seg": 72.04262, "aux.loss_seg": 0.12979, "aux.acc_seg": 70.26434, "loss": 0.38396, "time": 0.72694} +{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.24817, "decode.acc_seg": 72.75953, "aux.loss_seg": 0.1269, "aux.acc_seg": 71.1217, "loss": 0.37507, "time": 0.7286} +{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.2318, "decode.acc_seg": 74.39607, "aux.loss_seg": 0.11916, "aux.acc_seg": 72.57433, "loss": 0.35095, "time": 0.73479} +{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.23884, "decode.acc_seg": 72.71781, "aux.loss_seg": 0.12277, "aux.acc_seg": 71.08199, "loss": 0.36161, "time": 0.73149} +{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.2375, "decode.acc_seg": 73.1592, "aux.loss_seg": 0.12635, "aux.acc_seg": 71.11648, "loss": 0.36385, "time": 0.73521} +{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.24175, "decode.acc_seg": 71.99626, "aux.loss_seg": 0.12451, "aux.acc_seg": 70.31635, "loss": 0.36626, "time": 0.73418} +{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.25101, "decode.acc_seg": 73.91263, "aux.loss_seg": 0.13207, "aux.acc_seg": 71.87856, "loss": 0.38309, "time": 0.72738} +{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.24729, "decode.acc_seg": 73.10508, "aux.loss_seg": 0.12771, "aux.acc_seg": 71.32716, "loss": 0.37499, "time": 0.73893} +{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.24127, "decode.acc_seg": 72.70829, "aux.loss_seg": 0.12421, "aux.acc_seg": 70.97314, "loss": 0.36548, "time": 0.73343} +{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.22711, "decode.acc_seg": 73.79774, "aux.loss_seg": 0.11642, "aux.acc_seg": 72.20191, "loss": 0.34353, "time": 0.73492} +{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.26934, "decode.acc_seg": 74.49851, "aux.loss_seg": 0.13746, "aux.acc_seg": 72.42568, "loss": 0.4068, "time": 0.73494} +{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.24219, "decode.acc_seg": 72.23775, "aux.loss_seg": 0.12489, "aux.acc_seg": 70.33214, "loss": 0.36708, "time": 0.73398} +{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.24709, "decode.acc_seg": 71.38451, "aux.loss_seg": 0.12707, "aux.acc_seg": 69.65135, "loss": 0.37416, "time": 0.7401} +{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.23852, "decode.acc_seg": 72.06296, "aux.loss_seg": 0.12364, "aux.acc_seg": 70.32126, "loss": 0.36216, "time": 0.73782} +{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.24841, "decode.acc_seg": 72.40968, "aux.loss_seg": 0.12663, "aux.acc_seg": 70.81829, "loss": 0.37504, "time": 0.72757} +{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.24343, "decode.acc_seg": 73.46798, "aux.loss_seg": 0.12359, "aux.acc_seg": 71.83495, "loss": 0.36702, "time": 0.73349} +{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.25853, "decode.acc_seg": 72.71122, "aux.loss_seg": 0.1311, "aux.acc_seg": 70.89929, "loss": 0.38963, "time": 0.73143} +{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 26851, "data_time": 0.25205, "decode.loss_seg": 0.24344, "decode.acc_seg": 72.98239, "aux.loss_seg": 0.12447, "aux.acc_seg": 71.24085, "loss": 0.36792, "time": 0.97977} +{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.2411, "decode.acc_seg": 72.4626, "aux.loss_seg": 0.12415, "aux.acc_seg": 70.7944, "loss": 0.36525, "time": 0.73445} +{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.22886, "decode.acc_seg": 72.67666, "aux.loss_seg": 0.11831, "aux.acc_seg": 70.99817, "loss": 0.34717, "time": 0.73633} +{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.23539, "decode.acc_seg": 72.38616, "aux.loss_seg": 0.12031, "aux.acc_seg": 70.63827, "loss": 0.3557, "time": 0.73687} +{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.24902, "decode.acc_seg": 73.43628, "aux.loss_seg": 0.12707, "aux.acc_seg": 71.76974, "loss": 0.37609, "time": 0.7359} +{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.23727, "decode.acc_seg": 72.30923, "aux.loss_seg": 0.12073, "aux.acc_seg": 70.60935, "loss": 0.358, "time": 0.7413} +{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.22704, "decode.acc_seg": 73.6124, "aux.loss_seg": 0.11746, "aux.acc_seg": 71.91544, "loss": 0.3445, "time": 0.73813} +{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.2424, "decode.acc_seg": 72.32534, "aux.loss_seg": 0.12393, "aux.acc_seg": 70.56864, "loss": 0.36633, "time": 0.73911} +{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.24311, "decode.acc_seg": 72.58936, "aux.loss_seg": 0.12379, "aux.acc_seg": 70.84366, "loss": 0.36691, "time": 0.74001} +{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.25305, "decode.acc_seg": 72.55437, "aux.loss_seg": 0.13079, "aux.acc_seg": 70.61111, "loss": 0.38384, "time": 0.73554} +{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.24794, "decode.acc_seg": 73.2537, "aux.loss_seg": 0.12796, "aux.acc_seg": 71.49563, "loss": 0.3759, "time": 0.73023} +{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.23514, "decode.acc_seg": 71.70123, "aux.loss_seg": 0.12254, "aux.acc_seg": 70.00029, "loss": 0.35769, "time": 0.7287} +{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.25327, "decode.acc_seg": 72.95874, "aux.loss_seg": 0.12828, "aux.acc_seg": 71.14394, "loss": 0.38155, "time": 0.72955} +{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.23997, "decode.acc_seg": 72.30116, "aux.loss_seg": 0.12687, "aux.acc_seg": 70.38579, "loss": 0.36684, "time": 0.73754} +{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.24059, "decode.acc_seg": 72.57878, "aux.loss_seg": 0.12438, "aux.acc_seg": 70.74699, "loss": 0.36496, "time": 0.73576} +{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22712, "decode.acc_seg": 73.54679, "aux.loss_seg": 0.11884, "aux.acc_seg": 71.83716, "loss": 0.34596, "time": 0.73584} +{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.24892, "decode.acc_seg": 71.12384, "aux.loss_seg": 0.12639, "aux.acc_seg": 69.45554, "loss": 0.37531, "time": 0.73329} +{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.24385, "decode.acc_seg": 73.58482, "aux.loss_seg": 0.12996, "aux.acc_seg": 71.55801, "loss": 0.37381, "time": 0.72446} +{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.26057, "decode.acc_seg": 74.22834, "aux.loss_seg": 0.13519, "aux.acc_seg": 72.21394, "loss": 0.39575, "time": 0.7298} +{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24655, "decode.acc_seg": 73.98072, "aux.loss_seg": 0.12475, "aux.acc_seg": 72.29397, "loss": 0.3713, "time": 0.73347} +{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.23441, "decode.acc_seg": 73.96477, "aux.loss_seg": 0.11959, "aux.acc_seg": 72.42914, "loss": 0.35401, "time": 0.73209} +{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.24428, "decode.acc_seg": 72.21867, "aux.loss_seg": 0.13028, "aux.acc_seg": 70.1799, "loss": 0.37456, "time": 0.73578} +{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.22844, "decode.acc_seg": 72.54225, "aux.loss_seg": 0.12134, "aux.acc_seg": 70.57922, "loss": 0.34978, "time": 0.73654} +{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.24629, "decode.acc_seg": 72.65681, "aux.loss_seg": 0.12638, "aux.acc_seg": 70.88461, "loss": 0.37267, "time": 0.72806} +{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.23057, "decode.acc_seg": 73.62266, "aux.loss_seg": 0.11938, "aux.acc_seg": 71.88814, "loss": 0.34995, "time": 0.73012} +{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.24383, "decode.acc_seg": 72.80487, "aux.loss_seg": 0.12691, "aux.acc_seg": 70.92647, "loss": 0.37074, "time": 0.72998} +{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 26851, "data_time": 0.2562, "decode.loss_seg": 0.24679, "decode.acc_seg": 72.51829, "aux.loss_seg": 0.12567, "aux.acc_seg": 70.70519, "loss": 0.37245, "time": 0.98293} +{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.22272, "decode.acc_seg": 74.48404, "aux.loss_seg": 0.11362, "aux.acc_seg": 72.94384, "loss": 0.33634, "time": 0.73518} +{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.22631, "decode.acc_seg": 73.0976, "aux.loss_seg": 0.11671, "aux.acc_seg": 71.41414, "loss": 0.34303, "time": 0.73577} +{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.22252, "decode.acc_seg": 73.10395, "aux.loss_seg": 0.11938, "aux.acc_seg": 71.10921, "loss": 0.3419, "time": 0.73047} +{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.24697, "decode.acc_seg": 71.80001, "aux.loss_seg": 0.12831, "aux.acc_seg": 69.94536, "loss": 0.37529, "time": 0.73663} +{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.24169, "decode.acc_seg": 72.77013, "aux.loss_seg": 0.12435, "aux.acc_seg": 71.04861, "loss": 0.36605, "time": 0.7367} +{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.22803, "decode.acc_seg": 73.98164, "aux.loss_seg": 0.11854, "aux.acc_seg": 72.23348, "loss": 0.34657, "time": 0.73092} +{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.22531, "decode.acc_seg": 73.98879, "aux.loss_seg": 0.11756, "aux.acc_seg": 72.29378, "loss": 0.34287, "time": 0.72805} +{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.2354, "decode.acc_seg": 73.64419, "aux.loss_seg": 0.12345, "aux.acc_seg": 71.81265, "loss": 0.35885, "time": 0.72987} +{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.23747, "decode.acc_seg": 72.39681, "aux.loss_seg": 0.12309, "aux.acc_seg": 70.63222, "loss": 0.36056, "time": 0.73482} +{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.22371, "decode.acc_seg": 73.78584, "aux.loss_seg": 0.11707, "aux.acc_seg": 72.02785, "loss": 0.34079, "time": 0.73385} +{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.22489, "decode.acc_seg": 74.56288, "aux.loss_seg": 0.11849, "aux.acc_seg": 72.68731, "loss": 0.34338, "time": 0.73483} +{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.23872, "decode.acc_seg": 72.00252, "aux.loss_seg": 0.12498, "aux.acc_seg": 69.99664, "loss": 0.3637, "time": 0.73589} +{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.24117, "decode.acc_seg": 73.09187, "aux.loss_seg": 0.12473, "aux.acc_seg": 71.25347, "loss": 0.3659, "time": 0.73391} +{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.23261, "decode.acc_seg": 73.17446, "aux.loss_seg": 0.12053, "aux.acc_seg": 71.37053, "loss": 0.35315, "time": 0.73494} +{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.23488, "decode.acc_seg": 71.89084, "aux.loss_seg": 0.12179, "aux.acc_seg": 70.07922, "loss": 0.35666, "time": 0.73458} +{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.22205, "decode.acc_seg": 72.42522, "aux.loss_seg": 0.11581, "aux.acc_seg": 70.69326, "loss": 0.33786, "time": 0.72709} +{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.25214, "decode.acc_seg": 72.84551, "aux.loss_seg": 0.12916, "aux.acc_seg": 70.99276, "loss": 0.3813, "time": 0.7249} +{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.22634, "decode.acc_seg": 72.98149, "aux.loss_seg": 0.11911, "aux.acc_seg": 71.14775, "loss": 0.34545, "time": 0.73123} +{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.23738, "decode.acc_seg": 72.65158, "aux.loss_seg": 0.12207, "aux.acc_seg": 70.71427, "loss": 0.35945, "time": 0.73166} +{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.24354, "decode.acc_seg": 72.80864, "aux.loss_seg": 0.12536, "aux.acc_seg": 71.03489, "loss": 0.36889, "time": 0.7352} +{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.23133, "decode.acc_seg": 73.6079, "aux.loss_seg": 0.12126, "aux.acc_seg": 71.73027, "loss": 0.35259, "time": 0.74053} +{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24979, "decode.acc_seg": 74.13312, "aux.loss_seg": 0.12667, "aux.acc_seg": 72.45683, "loss": 0.37646, "time": 0.73271} +{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.24151, "decode.acc_seg": 73.36436, "aux.loss_seg": 0.12365, "aux.acc_seg": 71.65582, "loss": 0.36515, "time": 0.73211} +{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.24919, "decode.acc_seg": 72.53354, "aux.loss_seg": 0.12921, "aux.acc_seg": 70.65779, "loss": 0.37839, "time": 0.7348} +{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 26851, "data_time": 0.245, "decode.loss_seg": 0.23841, "decode.acc_seg": 72.69028, "aux.loss_seg": 0.12371, "aux.acc_seg": 70.92112, "loss": 0.36212, "time": 0.96785} +{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.23364, "decode.acc_seg": 72.94101, "aux.loss_seg": 0.12061, "aux.acc_seg": 71.18661, "loss": 0.35425, "time": 0.72961} +{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.23818, "decode.acc_seg": 72.57101, "aux.loss_seg": 0.12497, "aux.acc_seg": 70.75574, "loss": 0.36314, "time": 0.725} +{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.23673, "decode.acc_seg": 71.37463, "aux.loss_seg": 0.12213, "aux.acc_seg": 69.75807, "loss": 0.35886, "time": 0.72681} +{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.22324, "decode.acc_seg": 71.66439, "aux.loss_seg": 0.11654, "aux.acc_seg": 69.91045, "loss": 0.33978, "time": 0.73017} +{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.23414, "decode.acc_seg": 73.08831, "aux.loss_seg": 0.12157, "aux.acc_seg": 71.42235, "loss": 0.35571, "time": 0.73699} +{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.2244, "decode.acc_seg": 73.30906, "aux.loss_seg": 0.11702, "aux.acc_seg": 71.66547, "loss": 0.34143, "time": 0.73271} +{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.23139, "decode.acc_seg": 73.71573, "aux.loss_seg": 0.12074, "aux.acc_seg": 71.90956, "loss": 0.35213, "time": 0.73861} +{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.22868, "decode.acc_seg": 73.52265, "aux.loss_seg": 0.1182, "aux.acc_seg": 71.89137, "loss": 0.34688, "time": 0.73233} +{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.2318, "decode.acc_seg": 72.87218, "aux.loss_seg": 0.12087, "aux.acc_seg": 71.142, "loss": 0.35268, "time": 0.73306} +{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.23798, "decode.acc_seg": 73.01475, "aux.loss_seg": 0.12282, "aux.acc_seg": 71.29798, "loss": 0.3608, "time": 0.73594} +{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.24766, "decode.acc_seg": 73.27594, "aux.loss_seg": 0.12487, "aux.acc_seg": 71.50679, "loss": 0.37253, "time": 0.73029} +{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.23303, "decode.acc_seg": 73.81673, "aux.loss_seg": 0.12156, "aux.acc_seg": 71.95637, "loss": 0.35459, "time": 0.72807} +{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.24637, "decode.acc_seg": 73.45579, "aux.loss_seg": 0.12577, "aux.acc_seg": 71.70492, "loss": 0.37214, "time": 0.72735} +{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24878, "decode.acc_seg": 73.69432, "aux.loss_seg": 0.12916, "aux.acc_seg": 71.74415, "loss": 0.37794, "time": 0.73596} +{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.23313, "decode.acc_seg": 72.19693, "aux.loss_seg": 0.12328, "aux.acc_seg": 70.08731, "loss": 0.35641, "time": 0.73208} +{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.24597, "decode.acc_seg": 72.24806, "aux.loss_seg": 0.12672, "aux.acc_seg": 70.29606, "loss": 0.37269, "time": 0.73179} +{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.61949, "aux.loss_seg": 0.12683, "aux.acc_seg": 70.72447, "loss": 0.37158, "time": 0.7326} +{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.2338, "decode.acc_seg": 73.32992, "aux.loss_seg": 0.12112, "aux.acc_seg": 71.51736, "loss": 0.35492, "time": 0.73501} +{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.22506, "decode.acc_seg": 73.09342, "aux.loss_seg": 0.1165, "aux.acc_seg": 71.38935, "loss": 0.34155, "time": 0.73032} +{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.2325, "decode.acc_seg": 72.34931, "aux.loss_seg": 0.1194, "aux.acc_seg": 70.63893, "loss": 0.35189, "time": 0.72554} +{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.23245, "decode.acc_seg": 73.59388, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.63263, "loss": 0.35471, "time": 0.72427} +{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.23457, "decode.acc_seg": 73.46081, "aux.loss_seg": 0.12478, "aux.acc_seg": 71.45553, "loss": 0.35935, "time": 0.73326} +{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.23724, "decode.acc_seg": 72.83464, "aux.loss_seg": 0.12466, "aux.acc_seg": 70.91449, "loss": 0.36189, "time": 0.73719} +{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24374, "decode.acc_seg": 73.30327, "aux.loss_seg": 0.12488, "aux.acc_seg": 71.54604, "loss": 0.36861, "time": 0.7337} +{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 26851, "data_time": 0.24568, "decode.loss_seg": 0.23866, "decode.acc_seg": 72.75527, "aux.loss_seg": 0.12276, "aux.acc_seg": 70.9944, "loss": 0.36142, "time": 0.97311} +{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.22042, "decode.acc_seg": 73.06907, "aux.loss_seg": 0.11355, "aux.acc_seg": 71.48858, "loss": 0.33397, "time": 0.734} +{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.2295, "decode.acc_seg": 72.01064, "aux.loss_seg": 0.12057, "aux.acc_seg": 70.22997, "loss": 0.35007, "time": 0.73751} +{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22231, "decode.acc_seg": 73.51474, "aux.loss_seg": 0.11559, "aux.acc_seg": 71.93985, "loss": 0.3379, "time": 0.73042} +{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.24858, "decode.acc_seg": 72.88248, "aux.loss_seg": 0.12813, "aux.acc_seg": 71.0216, "loss": 0.37671, "time": 0.72772} +{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.24565, "decode.acc_seg": 74.02003, "aux.loss_seg": 0.12687, "aux.acc_seg": 72.29577, "loss": 0.37252, "time": 0.72534} +{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.2326, "decode.acc_seg": 73.50657, "aux.loss_seg": 0.12141, "aux.acc_seg": 71.68234, "loss": 0.35401, "time": 0.72733} +{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.24473, "decode.acc_seg": 71.92816, "aux.loss_seg": 0.12647, "aux.acc_seg": 70.0868, "loss": 0.37121, "time": 0.73391} +{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.21995, "decode.acc_seg": 73.59584, "aux.loss_seg": 0.1164, "aux.acc_seg": 71.68041, "loss": 0.33634, "time": 0.74143} +{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.22227, "decode.acc_seg": 73.34775, "aux.loss_seg": 0.11282, "aux.acc_seg": 71.74271, "loss": 0.33508, "time": 0.73545} +{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.23966, "decode.acc_seg": 73.14776, "aux.loss_seg": 0.12406, "aux.acc_seg": 71.36613, "loss": 0.36372, "time": 0.73817} +{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22919, "decode.acc_seg": 73.88785, "aux.loss_seg": 0.11954, "aux.acc_seg": 72.07191, "loss": 0.34873, "time": 0.73857} +{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.23304, "decode.acc_seg": 73.65447, "aux.loss_seg": 0.12084, "aux.acc_seg": 71.95319, "loss": 0.35388, "time": 0.73876} +{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.23759, "decode.acc_seg": 72.71737, "aux.loss_seg": 0.12101, "aux.acc_seg": 70.98684, "loss": 0.3586, "time": 0.7339} +{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.2381, "decode.acc_seg": 71.74979, "aux.loss_seg": 0.12507, "aux.acc_seg": 69.78209, "loss": 0.36317, "time": 0.733} +{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.22917, "decode.acc_seg": 72.03767, "aux.loss_seg": 0.11804, "aux.acc_seg": 70.35125, "loss": 0.34721, "time": 0.72391} +{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.22841, "decode.acc_seg": 72.54342, "aux.loss_seg": 0.11629, "aux.acc_seg": 70.96524, "loss": 0.34469, "time": 0.72929} +{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25641, "decode.acc_seg": 71.61836, "aux.loss_seg": 0.13023, "aux.acc_seg": 69.75143, "loss": 0.38664, "time": 0.73211} +{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.2421, "decode.acc_seg": 72.05647, "aux.loss_seg": 0.1249, "aux.acc_seg": 70.27957, "loss": 0.367, "time": 0.7325} +{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.23246, "decode.acc_seg": 72.8984, "aux.loss_seg": 0.1219, "aux.acc_seg": 71.04996, "loss": 0.35436, "time": 0.73085} +{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.24211, "decode.acc_seg": 72.91581, "aux.loss_seg": 0.12427, "aux.acc_seg": 71.14546, "loss": 0.36638, "time": 0.72769} +{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.24438, "decode.acc_seg": 72.87882, "aux.loss_seg": 0.12586, "aux.acc_seg": 71.0311, "loss": 0.37025, "time": 0.72912} +{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.22347, "decode.acc_seg": 73.30748, "aux.loss_seg": 0.1152, "aux.acc_seg": 71.47112, "loss": 0.33867, "time": 0.73478} +{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.23699, "decode.acc_seg": 71.49374, "aux.loss_seg": 0.1225, "aux.acc_seg": 69.69635, "loss": 0.35949, "time": 0.72823} +{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.23834, "decode.acc_seg": 71.15247, "aux.loss_seg": 0.12254, "aux.acc_seg": 69.39642, "loss": 0.36089, "time": 0.73637} +{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 26851, "data_time": 0.24602, "decode.loss_seg": 0.25573, "decode.acc_seg": 73.5277, "aux.loss_seg": 0.13298, "aux.acc_seg": 71.46324, "loss": 0.38871, "time": 0.9713} +{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.22976, "decode.acc_seg": 73.29613, "aux.loss_seg": 0.11763, "aux.acc_seg": 71.62117, "loss": 0.34739, "time": 0.72934} +{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.23248, "decode.acc_seg": 72.71451, "aux.loss_seg": 0.12182, "aux.acc_seg": 70.82368, "loss": 0.3543, "time": 0.72712} +{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.21682, "decode.acc_seg": 73.60992, "aux.loss_seg": 0.11322, "aux.acc_seg": 71.82423, "loss": 0.33004, "time": 0.72704} +{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.23752, "decode.acc_seg": 72.9431, "aux.loss_seg": 0.123, "aux.acc_seg": 71.15808, "loss": 0.36052, "time": 0.73033} +{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.24238, "decode.acc_seg": 73.98488, "aux.loss_seg": 0.12685, "aux.acc_seg": 72.00573, "loss": 0.36923, "time": 0.73405} +{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.25727, "decode.acc_seg": 74.74405, "aux.loss_seg": 0.13118, "aux.acc_seg": 72.94931, "loss": 0.38845, "time": 0.7247} +{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.22166, "decode.acc_seg": 72.43724, "aux.loss_seg": 0.11485, "aux.acc_seg": 70.74688, "loss": 0.33651, "time": 0.73106} +{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.23282, "decode.acc_seg": 74.73904, "aux.loss_seg": 0.12031, "aux.acc_seg": 72.82357, "loss": 0.35313, "time": 0.72569} +{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.23406, "decode.acc_seg": 73.5228, "aux.loss_seg": 0.12302, "aux.acc_seg": 71.73975, "loss": 0.35707, "time": 0.72624} +{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.23776, "decode.acc_seg": 71.84099, "aux.loss_seg": 0.1229, "aux.acc_seg": 69.94927, "loss": 0.36065, "time": 0.72871} +{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.21925, "decode.acc_seg": 71.48595, "aux.loss_seg": 0.11317, "aux.acc_seg": 69.85597, "loss": 0.33242, "time": 0.72876} +{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.23173, "decode.acc_seg": 73.65553, "aux.loss_seg": 0.11928, "aux.acc_seg": 72.11188, "loss": 0.35101, "time": 0.73686} +{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.23019, "decode.acc_seg": 73.68974, "aux.loss_seg": 0.12195, "aux.acc_seg": 71.78391, "loss": 0.35214, "time": 0.73474} +{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.23204, "decode.acc_seg": 74.34892, "aux.loss_seg": 0.12205, "aux.acc_seg": 72.51326, "loss": 0.35409, "time": 0.73219} +{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.22792, "decode.acc_seg": 72.03627, "aux.loss_seg": 0.11911, "aux.acc_seg": 70.26688, "loss": 0.34703, "time": 0.72932} +{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.23299, "decode.acc_seg": 72.12833, "aux.loss_seg": 0.1222, "aux.acc_seg": 70.27686, "loss": 0.35519, "time": 0.73006} +{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.23676, "decode.acc_seg": 73.44365, "aux.loss_seg": 0.12185, "aux.acc_seg": 71.79188, "loss": 0.35861, "time": 0.73447} +{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.22698, "decode.acc_seg": 73.04178, "aux.loss_seg": 0.11666, "aux.acc_seg": 71.33665, "loss": 0.34365, "time": 0.72865} +{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.24808, "decode.acc_seg": 73.64265, "aux.loss_seg": 0.12614, "aux.acc_seg": 71.88705, "loss": 0.37422, "time": 0.73366} +{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.23169, "decode.acc_seg": 73.37812, "aux.loss_seg": 0.11892, "aux.acc_seg": 71.74833, "loss": 0.35061, "time": 0.73208} +{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.23368, "decode.acc_seg": 73.12268, "aux.loss_seg": 0.11968, "aux.acc_seg": 71.29797, "loss": 0.35336, "time": 0.74083} +{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.23779, "decode.acc_seg": 72.97048, "aux.loss_seg": 0.12353, "aux.acc_seg": 71.10236, "loss": 0.36132, "time": 0.73297} +{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.24452, "decode.acc_seg": 73.00842, "aux.loss_seg": 0.12701, "aux.acc_seg": 71.18584, "loss": 0.37153, "time": 0.72754} +{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.23806, "decode.acc_seg": 73.09634, "aux.loss_seg": 0.12378, "aux.acc_seg": 71.36037, "loss": 0.36184, "time": 0.72608} +{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.24211, "decode.acc_seg": 73.66841, "aux.loss_seg": 0.12585, "aux.acc_seg": 71.86088, "loss": 0.36796, "time": 0.72877} +{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 26851, "data_time": 0.25066, "decode.loss_seg": 0.2524, "decode.acc_seg": 73.39199, "aux.loss_seg": 0.13021, "aux.acc_seg": 71.54015, "loss": 0.38261, "time": 0.96995} +{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.22706, "decode.acc_seg": 73.24313, "aux.loss_seg": 0.11727, "aux.acc_seg": 71.61555, "loss": 0.34432, "time": 0.73334} +{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.22685, "decode.acc_seg": 74.34699, "aux.loss_seg": 0.11686, "aux.acc_seg": 72.54096, "loss": 0.34371, "time": 0.73693} +{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.22904, "decode.acc_seg": 73.80226, "aux.loss_seg": 0.11713, "aux.acc_seg": 72.24732, "loss": 0.34617, "time": 0.73204} +{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.22417, "decode.acc_seg": 74.42402, "aux.loss_seg": 0.11629, "aux.acc_seg": 72.60244, "loss": 0.34046, "time": 0.73204} +{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.22693, "decode.acc_seg": 72.53202, "aux.loss_seg": 0.11771, "aux.acc_seg": 70.7303, "loss": 0.34465, "time": 0.72733} +{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.2312, "decode.acc_seg": 72.83199, "aux.loss_seg": 0.1229, "aux.acc_seg": 70.8687, "loss": 0.3541, "time": 0.72483} +{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.22914, "decode.acc_seg": 74.74727, "aux.loss_seg": 0.11983, "aux.acc_seg": 72.97221, "loss": 0.34897, "time": 0.72713} +{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.22932, "decode.acc_seg": 73.50084, "aux.loss_seg": 0.11846, "aux.acc_seg": 71.71892, "loss": 0.34777, "time": 0.73136} +{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.225, "decode.acc_seg": 73.12289, "aux.loss_seg": 0.11811, "aux.acc_seg": 71.30724, "loss": 0.3431, "time": 0.72938} +{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.2284, "decode.acc_seg": 73.72858, "aux.loss_seg": 0.11854, "aux.acc_seg": 72.07487, "loss": 0.34694, "time": 0.73311} +{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.21977, "decode.acc_seg": 74.4774, "aux.loss_seg": 0.11412, "aux.acc_seg": 72.81126, "loss": 0.33389, "time": 0.72959} +{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.22837, "decode.acc_seg": 73.67486, "aux.loss_seg": 0.11787, "aux.acc_seg": 71.9674, "loss": 0.34624, "time": 0.73425} +{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.2207, "decode.acc_seg": 74.22864, "aux.loss_seg": 0.11752, "aux.acc_seg": 72.38828, "loss": 0.33822, "time": 0.7266} +{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.22748, "decode.acc_seg": 73.43112, "aux.loss_seg": 0.1177, "aux.acc_seg": 71.66674, "loss": 0.34519, "time": 0.72473} +{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.23474, "decode.acc_seg": 73.95337, "aux.loss_seg": 0.12148, "aux.acc_seg": 72.05267, "loss": 0.35622, "time": 0.73075} +{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.23869, "decode.acc_seg": 72.29032, "aux.loss_seg": 0.12347, "aux.acc_seg": 70.49849, "loss": 0.36216, "time": 0.7317} +{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.23263, "decode.acc_seg": 73.024, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.13034, "loss": 0.35489, "time": 0.73216} +{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.24787, "decode.acc_seg": 73.07156, "aux.loss_seg": 0.12406, "aux.acc_seg": 71.42545, "loss": 0.37193, "time": 0.73424} +{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.2362, "decode.acc_seg": 73.08955, "aux.loss_seg": 0.12273, "aux.acc_seg": 71.33101, "loss": 0.35894, "time": 0.73344} +{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.22832, "decode.acc_seg": 74.07423, "aux.loss_seg": 0.11886, "aux.acc_seg": 72.38439, "loss": 0.34717, "time": 0.73521} +{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.22324, "decode.acc_seg": 74.21707, "aux.loss_seg": 0.11919, "aux.acc_seg": 72.46996, "loss": 0.34243, "time": 0.72948} +{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.23629, "decode.acc_seg": 73.2929, "aux.loss_seg": 0.12302, "aux.acc_seg": 71.58935, "loss": 0.3593, "time": 0.7262} +{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.2269, "decode.acc_seg": 72.82864, "aux.loss_seg": 0.11957, "aux.acc_seg": 70.94278, "loss": 0.34647, "time": 0.72919} +{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.23339, "decode.acc_seg": 73.16316, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.18727, "loss": 0.35796, "time": 0.73131} +{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 26851, "data_time": 0.25085, "decode.loss_seg": 0.21636, "decode.acc_seg": 73.43501, "aux.loss_seg": 0.11298, "aux.acc_seg": 71.65941, "loss": 0.32934, "time": 0.97158} +{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.2423, "decode.acc_seg": 72.70386, "aux.loss_seg": 0.1253, "aux.acc_seg": 70.92536, "loss": 0.3676, "time": 0.73359} +{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 26851, "data_time": 0.00942, "decode.loss_seg": 0.22686, "decode.acc_seg": 74.3936, "aux.loss_seg": 0.1182, "aux.acc_seg": 72.60123, "loss": 0.34506, "time": 0.73354} +{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.22378, "decode.acc_seg": 73.11733, "aux.loss_seg": 0.11683, "aux.acc_seg": 71.28407, "loss": 0.34061, "time": 0.7315} +{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22285, "decode.acc_seg": 73.81993, "aux.loss_seg": 0.115, "aux.acc_seg": 72.13861, "loss": 0.33785, "time": 0.73024} +{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.2341, "decode.acc_seg": 73.19262, "aux.loss_seg": 0.12366, "aux.acc_seg": 71.20827, "loss": 0.35776, "time": 0.73122} +{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.23023, "decode.acc_seg": 73.154, "aux.loss_seg": 0.11974, "aux.acc_seg": 71.43007, "loss": 0.34997, "time": 0.73372} +{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.23032, "decode.acc_seg": 73.50724, "aux.loss_seg": 0.12067, "aux.acc_seg": 71.84558, "loss": 0.35099, "time": 0.7292} +{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.21982, "decode.acc_seg": 73.352, "aux.loss_seg": 0.11679, "aux.acc_seg": 71.43506, "loss": 0.3366, "time": 0.72974} +{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.23621, "decode.acc_seg": 73.05745, "aux.loss_seg": 0.12105, "aux.acc_seg": 71.33614, "loss": 0.35726, "time": 0.72831} +{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.22111, "decode.acc_seg": 74.01057, "aux.loss_seg": 0.11565, "aux.acc_seg": 72.27766, "loss": 0.33675, "time": 0.72884} +{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.23293, "decode.acc_seg": 71.44637, "aux.loss_seg": 0.1203, "aux.acc_seg": 69.76157, "loss": 0.35323, "time": 0.73447} +{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.22504, "decode.acc_seg": 72.56367, "aux.loss_seg": 0.11681, "aux.acc_seg": 70.93476, "loss": 0.34185, "time": 0.74405} +{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.22966, "decode.acc_seg": 73.56674, "aux.loss_seg": 0.11979, "aux.acc_seg": 71.8536, "loss": 0.34945, "time": 0.73334} +{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.23443, "decode.acc_seg": 74.58391, "aux.loss_seg": 0.12041, "aux.acc_seg": 72.84253, "loss": 0.35484, "time": 0.73232} +{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.24397, "decode.acc_seg": 71.8199, "aux.loss_seg": 0.12557, "aux.acc_seg": 70.03851, "loss": 0.36954, "time": 0.73234} +{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.22744, "decode.acc_seg": 72.39879, "aux.loss_seg": 0.1178, "aux.acc_seg": 70.62236, "loss": 0.34524, "time": 0.7282} +{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.23435, "decode.acc_seg": 73.73334, "aux.loss_seg": 0.12517, "aux.acc_seg": 71.75575, "loss": 0.35952, "time": 0.73117} +{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.24238, "decode.acc_seg": 73.70657, "aux.loss_seg": 0.12584, "aux.acc_seg": 71.85763, "loss": 0.36823, "time": 0.73441} +{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21978, "decode.acc_seg": 73.70659, "aux.loss_seg": 0.11845, "aux.acc_seg": 71.58175, "loss": 0.33823, "time": 0.73261} +{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.22702, "decode.acc_seg": 72.23316, "aux.loss_seg": 0.11824, "aux.acc_seg": 70.50243, "loss": 0.34526, "time": 0.73453} +{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.23182, "decode.acc_seg": 74.01346, "aux.loss_seg": 0.11972, "aux.acc_seg": 72.30944, "loss": 0.35154, "time": 0.73368} +{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.22675, "decode.acc_seg": 73.60581, "aux.loss_seg": 0.11836, "aux.acc_seg": 71.80717, "loss": 0.34511, "time": 0.7318} +{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.23814, "decode.acc_seg": 73.38234, "aux.loss_seg": 0.12461, "aux.acc_seg": 71.60365, "loss": 0.36275, "time": 0.72718} +{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.24012, "decode.acc_seg": 73.27106, "aux.loss_seg": 0.12565, "aux.acc_seg": 71.39258, "loss": 0.36577, "time": 0.72849} +{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 26851, "data_time": 0.25404, "decode.loss_seg": 0.23023, "decode.acc_seg": 74.80638, "aux.loss_seg": 0.12082, "aux.acc_seg": 73.13034, "loss": 0.35104, "time": 0.975} +{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.22614, "decode.acc_seg": 73.06621, "aux.loss_seg": 0.12079, "aux.acc_seg": 71.08258, "loss": 0.34694, "time": 0.73255} +{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.22936, "decode.acc_seg": 73.14757, "aux.loss_seg": 0.12069, "aux.acc_seg": 71.34424, "loss": 0.35005, "time": 0.73401} +{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 26851, "data_time": 0.01003, "decode.loss_seg": 0.21557, "decode.acc_seg": 74.04762, "aux.loss_seg": 0.11334, "aux.acc_seg": 72.17227, "loss": 0.32891, "time": 0.73244} +{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.22545, "decode.acc_seg": 73.13663, "aux.loss_seg": 0.11839, "aux.acc_seg": 71.32066, "loss": 0.34384, "time": 0.73667} +{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 26851, "data_time": 0.00908, "decode.loss_seg": 0.22158, "decode.acc_seg": 73.33798, "aux.loss_seg": 0.11371, "aux.acc_seg": 71.84053, "loss": 0.33529, "time": 0.73727} +{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.22111, "decode.acc_seg": 73.29773, "aux.loss_seg": 0.11545, "aux.acc_seg": 71.52034, "loss": 0.33655, "time": 0.73485} +{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.21888, "decode.acc_seg": 73.38606, "aux.loss_seg": 0.11438, "aux.acc_seg": 71.68461, "loss": 0.33326, "time": 0.72899} +{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.22536, "decode.acc_seg": 74.28182, "aux.loss_seg": 0.11828, "aux.acc_seg": 72.56251, "loss": 0.34364, "time": 0.72876} +{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.22887, "decode.acc_seg": 72.9144, "aux.loss_seg": 0.11785, "aux.acc_seg": 71.17421, "loss": 0.34672, "time": 0.73282} +{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.22538, "decode.acc_seg": 72.6358, "aux.loss_seg": 0.1191, "aux.acc_seg": 70.67491, "loss": 0.34448, "time": 0.73489} +{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 26851, "data_time": 0.00937, "decode.loss_seg": 0.22413, "decode.acc_seg": 72.65303, "aux.loss_seg": 0.11594, "aux.acc_seg": 70.87773, "loss": 0.34007, "time": 0.74286} +{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 26851, "data_time": 0.00931, "decode.loss_seg": 0.21413, "decode.acc_seg": 74.64659, "aux.loss_seg": 0.11287, "aux.acc_seg": 72.83554, "loss": 0.327, "time": 0.73461} +{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.23499, "decode.acc_seg": 73.61712, "aux.loss_seg": 0.11962, "aux.acc_seg": 71.9962, "loss": 0.35461, "time": 0.72828} +{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.24772, "decode.acc_seg": 73.85621, "aux.loss_seg": 0.12874, "aux.acc_seg": 72.00503, "loss": 0.37646, "time": 0.73082} +{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 26851, "data_time": 0.00921, "decode.loss_seg": 0.22341, "decode.acc_seg": 73.49232, "aux.loss_seg": 0.11717, "aux.acc_seg": 71.62291, "loss": 0.34059, "time": 0.72831} +{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.22782, "decode.acc_seg": 72.97631, "aux.loss_seg": 0.11947, "aux.acc_seg": 71.05682, "loss": 0.34729, "time": 0.73341} +{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.21605, "decode.acc_seg": 72.87764, "aux.loss_seg": 0.11534, "aux.acc_seg": 70.92423, "loss": 0.33139, "time": 0.73762} +{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.21675, "decode.acc_seg": 73.4068, "aux.loss_seg": 0.11224, "aux.acc_seg": 71.76431, "loss": 0.32899, "time": 0.74304} +{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.22398, "decode.acc_seg": 73.3472, "aux.loss_seg": 0.11595, "aux.acc_seg": 71.62108, "loss": 0.33993, "time": 0.7329} +{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22875, "decode.acc_seg": 72.80543, "aux.loss_seg": 0.12075, "aux.acc_seg": 70.87057, "loss": 0.3495, "time": 0.73696} +{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22536, "decode.acc_seg": 72.67494, "aux.loss_seg": 0.118, "aux.acc_seg": 70.90152, "loss": 0.34336, "time": 0.72856} +{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.21902, "decode.acc_seg": 72.7472, "aux.loss_seg": 0.11616, "aux.acc_seg": 70.86149, "loss": 0.33517, "time": 0.72613} +{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.24022, "decode.acc_seg": 73.46727, "aux.loss_seg": 0.12619, "aux.acc_seg": 71.57112, "loss": 0.36642, "time": 0.73478} +{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.22202, "decode.acc_seg": 73.53818, "aux.loss_seg": 0.11639, "aux.acc_seg": 71.78082, "loss": 0.33841, "time": 0.728} +{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 26851, "data_time": 0.25061, "decode.loss_seg": 0.22718, "decode.acc_seg": 72.70868, "aux.loss_seg": 0.11676, "aux.acc_seg": 71.04796, "loss": 0.34394, "time": 0.97456} +{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22811, "decode.acc_seg": 72.6988, "aux.loss_seg": 0.11957, "aux.acc_seg": 70.84795, "loss": 0.34768, "time": 0.7335} +{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.21985, "decode.acc_seg": 74.73262, "aux.loss_seg": 0.1156, "aux.acc_seg": 72.96885, "loss": 0.33545, "time": 0.73083} +{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.22437, "decode.acc_seg": 73.49844, "aux.loss_seg": 0.11664, "aux.acc_seg": 71.62022, "loss": 0.34101, "time": 0.73804} +{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.2163, "decode.acc_seg": 73.15682, "aux.loss_seg": 0.114, "aux.acc_seg": 71.41256, "loss": 0.3303, "time": 0.73738} +{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.23212, "decode.acc_seg": 73.44191, "aux.loss_seg": 0.12107, "aux.acc_seg": 71.68776, "loss": 0.35319, "time": 0.73358} +{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.22129, "decode.acc_seg": 75.71938, "aux.loss_seg": 0.11572, "aux.acc_seg": 73.9036, "loss": 0.33701, "time": 0.72695} +{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.22076, "decode.acc_seg": 72.37847, "aux.loss_seg": 0.11708, "aux.acc_seg": 70.45887, "loss": 0.33784, "time": 0.72632} +{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.21659, "decode.acc_seg": 74.76973, "aux.loss_seg": 0.11218, "aux.acc_seg": 73.12287, "loss": 0.32877, "time": 0.72809} +{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.22278, "decode.acc_seg": 74.24344, "aux.loss_seg": 0.11679, "aux.acc_seg": 72.55108, "loss": 0.33957, "time": 0.72827} +{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.22934, "decode.acc_seg": 73.63266, "aux.loss_seg": 0.11912, "aux.acc_seg": 71.86947, "loss": 0.34846, "time": 0.73037} +{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 26851, "data_time": 0.00908, "decode.loss_seg": 0.22669, "decode.acc_seg": 73.73842, "aux.loss_seg": 0.11877, "aux.acc_seg": 71.92197, "loss": 0.34546, "time": 0.73399} +{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 26851, "data_time": 0.00925, "decode.loss_seg": 0.23044, "decode.acc_seg": 72.97927, "aux.loss_seg": 0.11827, "aux.acc_seg": 71.30276, "loss": 0.34871, "time": 0.73543} +{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.21158, "decode.acc_seg": 72.96674, "aux.loss_seg": 0.10912, "aux.acc_seg": 71.49649, "loss": 0.3207, "time": 0.73252} +{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21359, "decode.acc_seg": 72.59731, "aux.loss_seg": 0.11104, "aux.acc_seg": 70.92251, "loss": 0.32463, "time": 0.73531} +{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.23492, "decode.acc_seg": 71.86533, "aux.loss_seg": 0.1219, "aux.acc_seg": 70.02356, "loss": 0.35681, "time": 0.73434} +{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.21731, "decode.acc_seg": 73.40046, "aux.loss_seg": 0.1152, "aux.acc_seg": 71.63609, "loss": 0.33251, "time": 0.73191} +{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.22639, "decode.acc_seg": 74.65693, "aux.loss_seg": 0.11982, "aux.acc_seg": 72.70748, "loss": 0.34621, "time": 0.7269} +{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.22561, "decode.acc_seg": 73.28395, "aux.loss_seg": 0.11695, "aux.acc_seg": 71.68425, "loss": 0.34256, "time": 0.72549} +{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.2268, "decode.acc_seg": 73.75186, "aux.loss_seg": 0.1203, "aux.acc_seg": 71.97941, "loss": 0.3471, "time": 0.72896} +{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.22039, "decode.acc_seg": 73.14982, "aux.loss_seg": 0.11587, "aux.acc_seg": 71.42922, "loss": 0.33626, "time": 0.73429} +{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.21772, "decode.acc_seg": 73.57953, "aux.loss_seg": 0.11495, "aux.acc_seg": 71.79246, "loss": 0.33267, "time": 0.7345} +{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.2169, "decode.acc_seg": 73.18274, "aux.loss_seg": 0.1152, "aux.acc_seg": 71.42223, "loss": 0.33209, "time": 0.73398} +{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.24461, "decode.acc_seg": 73.26187, "aux.loss_seg": 0.128, "aux.acc_seg": 71.36543, "loss": 0.37262, "time": 0.72707} +{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.22893, "decode.acc_seg": 73.27355, "aux.loss_seg": 0.11771, "aux.acc_seg": 71.63809, "loss": 0.34664, "time": 0.72909} +{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.22352, "decode.acc_seg": 72.91715, "aux.loss_seg": 0.11505, "aux.acc_seg": 71.22668, "loss": 0.33856, "time": 0.73568} +{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 26851, "data_time": 0.25275, "decode.loss_seg": 0.21945, "decode.acc_seg": 72.04532, "aux.loss_seg": 0.11531, "aux.acc_seg": 70.24041, "loss": 0.33476, "time": 0.97459} +{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.22047, "decode.acc_seg": 73.25166, "aux.loss_seg": 0.11461, "aux.acc_seg": 71.59674, "loss": 0.33508, "time": 0.73267} +{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.22681, "decode.acc_seg": 72.97906, "aux.loss_seg": 0.1188, "aux.acc_seg": 71.12848, "loss": 0.34561, "time": 0.73613} +{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.21559, "decode.acc_seg": 72.81424, "aux.loss_seg": 0.11174, "aux.acc_seg": 71.25976, "loss": 0.32732, "time": 0.7321} +{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.21484, "decode.acc_seg": 72.41648, "aux.loss_seg": 0.11293, "aux.acc_seg": 70.56943, "loss": 0.32777, "time": 0.73592} +{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.23266, "decode.acc_seg": 74.68461, "aux.loss_seg": 0.12116, "aux.acc_seg": 72.88297, "loss": 0.35382, "time": 0.7344} +{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.22022, "decode.acc_seg": 73.58982, "aux.loss_seg": 0.11665, "aux.acc_seg": 71.76786, "loss": 0.33688, "time": 0.73694} +{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.23085, "decode.acc_seg": 74.3222, "aux.loss_seg": 0.11976, "aux.acc_seg": 72.49555, "loss": 0.35061, "time": 0.73499} +{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.22523, "decode.acc_seg": 73.05904, "aux.loss_seg": 0.11902, "aux.acc_seg": 71.27749, "loss": 0.34425, "time": 0.73058} +{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.21791, "decode.acc_seg": 74.70376, "aux.loss_seg": 0.1136, "aux.acc_seg": 73.05553, "loss": 0.33151, "time": 0.7251} +{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.23525, "decode.acc_seg": 74.4419, "aux.loss_seg": 0.12251, "aux.acc_seg": 72.52108, "loss": 0.35776, "time": 0.72698} +{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21795, "decode.acc_seg": 72.52313, "aux.loss_seg": 0.11538, "aux.acc_seg": 70.7204, "loss": 0.33332, "time": 0.73052} +{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.23654, "decode.acc_seg": 73.28467, "aux.loss_seg": 0.12177, "aux.acc_seg": 71.60929, "loss": 0.35831, "time": 0.73092} +{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.23984, "decode.acc_seg": 73.91777, "aux.loss_seg": 0.12481, "aux.acc_seg": 72.10363, "loss": 0.36465, "time": 0.73475} +{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.22749, "decode.acc_seg": 72.63515, "aux.loss_seg": 0.11836, "aux.acc_seg": 70.81108, "loss": 0.34584, "time": 0.73171} +{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.21952, "decode.acc_seg": 72.30177, "aux.loss_seg": 0.11455, "aux.acc_seg": 70.63271, "loss": 0.33406, "time": 0.73582} +{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.21773, "decode.acc_seg": 73.28578, "aux.loss_seg": 0.11362, "aux.acc_seg": 71.67993, "loss": 0.33135, "time": 0.72838} +{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.20692, "decode.acc_seg": 73.00098, "aux.loss_seg": 0.10895, "aux.acc_seg": 71.29447, "loss": 0.31587, "time": 0.72446} +{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22728, "decode.acc_seg": 72.47044, "aux.loss_seg": 0.11684, "aux.acc_seg": 70.77667, "loss": 0.34412, "time": 0.72946} +{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2351, "decode.acc_seg": 73.38155, "aux.loss_seg": 0.11876, "aux.acc_seg": 71.84477, "loss": 0.35386, "time": 0.73136} +{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.22372, "decode.acc_seg": 72.39723, "aux.loss_seg": 0.11701, "aux.acc_seg": 70.63694, "loss": 0.34073, "time": 0.73035} +{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.22657, "decode.acc_seg": 72.89571, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.19807, "loss": 0.34529, "time": 0.73082} +{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.21221, "decode.acc_seg": 74.29836, "aux.loss_seg": 0.11014, "aux.acc_seg": 72.65333, "loss": 0.32235, "time": 0.7327} +{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.22777, "decode.acc_seg": 73.01358, "aux.loss_seg": 0.12231, "aux.acc_seg": 71.01692, "loss": 0.35008, "time": 0.73582} +{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.22051, "decode.acc_seg": 72.68801, "aux.loss_seg": 0.11545, "aux.acc_seg": 70.88511, "loss": 0.33596, "time": 0.7358} +{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 26851, "data_time": 0.24726, "decode.loss_seg": 0.21482, "decode.acc_seg": 72.95637, "aux.loss_seg": 0.11339, "aux.acc_seg": 71.18224, "loss": 0.32821, "time": 0.96446} +{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.21241, "decode.acc_seg": 75.24855, "aux.loss_seg": 0.11138, "aux.acc_seg": 73.50866, "loss": 0.32379, "time": 0.7303} +{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 26851, "data_time": 0.00989, "decode.loss_seg": 0.20661, "decode.acc_seg": 73.23099, "aux.loss_seg": 0.11064, "aux.acc_seg": 71.36271, "loss": 0.31725, "time": 0.7392} +{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.23043, "decode.acc_seg": 73.25585, "aux.loss_seg": 0.11812, "aux.acc_seg": 71.68908, "loss": 0.34855, "time": 0.73415} +{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22574, "decode.acc_seg": 74.52008, "aux.loss_seg": 0.11775, "aux.acc_seg": 72.67075, "loss": 0.34349, "time": 0.73663} +{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.21991, "decode.acc_seg": 74.83677, "aux.loss_seg": 0.11575, "aux.acc_seg": 73.09614, "loss": 0.33566, "time": 0.73649} +{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.21804, "decode.acc_seg": 74.617, "aux.loss_seg": 0.1168, "aux.acc_seg": 72.7561, "loss": 0.33484, "time": 0.73501} +{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.2174, "decode.acc_seg": 73.83191, "aux.loss_seg": 0.11436, "aux.acc_seg": 71.96337, "loss": 0.33176, "time": 0.73763} +{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.22658, "decode.acc_seg": 73.76035, "aux.loss_seg": 0.11848, "aux.acc_seg": 72.02408, "loss": 0.34506, "time": 0.73857} +{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.22009, "decode.acc_seg": 73.30365, "aux.loss_seg": 0.11518, "aux.acc_seg": 71.53451, "loss": 0.33526, "time": 0.73542} +{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.22651, "decode.acc_seg": 73.91338, "aux.loss_seg": 0.11876, "aux.acc_seg": 71.91053, "loss": 0.34527, "time": 0.73345} +{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.21871, "decode.acc_seg": 74.32637, "aux.loss_seg": 0.11575, "aux.acc_seg": 72.51202, "loss": 0.33446, "time": 0.72639} +{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.21605, "decode.acc_seg": 75.14075, "aux.loss_seg": 0.11397, "aux.acc_seg": 73.33933, "loss": 0.33001, "time": 0.72724} +{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.23121, "decode.acc_seg": 72.49938, "aux.loss_seg": 0.11866, "aux.acc_seg": 70.81257, "loss": 0.34986, "time": 0.7349} +{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.21241, "decode.acc_seg": 73.26639, "aux.loss_seg": 0.11085, "aux.acc_seg": 71.51606, "loss": 0.32327, "time": 0.73619} +{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.22503, "decode.acc_seg": 74.90332, "aux.loss_seg": 0.11886, "aux.acc_seg": 73.0456, "loss": 0.34389, "time": 0.73396} +{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.21364, "decode.acc_seg": 74.89299, "aux.loss_seg": 0.11342, "aux.acc_seg": 73.0564, "loss": 0.32706, "time": 0.73194} +{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.2232, "decode.acc_seg": 73.30822, "aux.loss_seg": 0.11706, "aux.acc_seg": 71.40485, "loss": 0.34026, "time": 0.72911} +{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.22908, "decode.acc_seg": 73.24281, "aux.loss_seg": 0.11806, "aux.acc_seg": 71.53899, "loss": 0.34714, "time": 0.72675} +{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.2145, "decode.acc_seg": 73.00954, "aux.loss_seg": 0.11152, "aux.acc_seg": 71.36431, "loss": 0.32602, "time": 0.72957} +{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.22272, "decode.acc_seg": 72.6168, "aux.loss_seg": 0.11541, "aux.acc_seg": 70.78611, "loss": 0.33813, "time": 0.73426} +{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.21996, "decode.acc_seg": 72.85939, "aux.loss_seg": 0.11524, "aux.acc_seg": 70.99291, "loss": 0.3352, "time": 0.73256} +{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.21594, "decode.acc_seg": 72.92464, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.15469, "loss": 0.3299, "time": 0.73607} +{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.21492, "decode.acc_seg": 72.38277, "aux.loss_seg": 0.11401, "aux.acc_seg": 70.43094, "loss": 0.32893, "time": 0.73661} +{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.22173, "decode.acc_seg": 73.00934, "aux.loss_seg": 0.11656, "aux.acc_seg": 71.10539, "loss": 0.33829, "time": 0.73141} +{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4736, "mAcc": 0.5948, "aAcc": 0.8191, "IoU.wall": 0.7578, "IoU.building": 0.8165, "IoU.sky": 0.9387, "IoU.floor": 0.809, "IoU.tree": 0.7343, "IoU.ceiling": 0.8314, "IoU.road": 0.8208, "IoU.bed ": 0.8684, "IoU.windowpane": 0.5969, "IoU.grass": 0.6565, "IoU.cabinet": 0.583, "IoU.sidewalk": 0.6441, "IoU.person": 0.7777, "IoU.earth": 0.3516, "IoU.door": 0.4371, "IoU.table": 0.5701, "IoU.mountain": 0.5406, "IoU.plant": 0.5009, "IoU.curtain": 0.7029, "IoU.chair": 0.544, "IoU.car": 0.8208, "IoU.water": 0.5012, "IoU.painting": 0.6987, "IoU.sofa": 0.5692, "IoU.shelf": 0.4383, "IoU.house": 0.4747, "IoU.sea": 0.5114, "IoU.mirror": 0.6067, "IoU.rug": 0.6158, "IoU.field": 0.277, "IoU.armchair": 0.4131, "IoU.seat": 0.6354, "IoU.fence": 0.4518, "IoU.desk": 0.458, "IoU.rock": 0.3614, "IoU.wardrobe": 0.467, "IoU.lamp": 0.5914, "IoU.bathtub": 0.7336, "IoU.railing": 0.3576, "IoU.cushion": 0.5058, "IoU.base": 0.2734, "IoU.box": 0.2729, "IoU.column": 0.3736, "IoU.signboard": 0.366, "IoU.chest of drawers": 0.4131, "IoU.counter": 0.3272, "IoU.sand": 0.5264, "IoU.sink": 0.6926, "IoU.skyscraper": 0.5682, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6594, "IoU.grandstand": 0.4168, "IoU.path": 0.2205, "IoU.stairs": 0.3016, "IoU.runway": 0.6804, "IoU.case": 0.4677, "IoU.pool table": 0.9082, "IoU.pillow": 0.5482, "IoU.screen door": 0.6173, "IoU.stairway": 0.2665, "IoU.river": 0.1604, "IoU.bridge": 0.7084, "IoU.bookcase": 0.4422, "IoU.blind": NaN, "IoU.coffee table": 0.5244, "IoU.toilet": 0.8222, "IoU.flower": 0.3924, "IoU.book": 0.4531, "IoU.hill": 0.046, "IoU.bench": 0.4956, "IoU.countertop": 0.543, "IoU.stove": 0.7052, "IoU.palm": 0.502, "IoU.kitchen island": 0.3651, "IoU.computer": 0.6048, "IoU.swivel chair": 0.4625, "IoU.boat": 0.4361, "IoU.bar": 0.3978, "IoU.arcade machine": 0.6702, "IoU.hovel": 0.3457, "IoU.bus": 0.8225, "IoU.towel": 0.6143, "IoU.light": 0.5364, "IoU.truck": 0.2011, "IoU.tower": 0.121, "IoU.chandelier": 0.6537, "IoU.awning": 0.2138, "IoU.streetlight": 0.2041, "IoU.booth": 0.5619, "IoU.television receiver": NaN, "IoU.airplane": 0.5838, "IoU.dirt track": 0.0884, "IoU.apparel": 0.297, "IoU.pole": 0.1471, "IoU.land": 0.0488, "IoU.bannister": 0.1106, "IoU.escalator": 0.396, "IoU.ottoman": 0.3965, "IoU.bottle": NaN, "IoU.buffet": 0.4299, "IoU.poster": 0.2369, "IoU.stage": 0.2068, "IoU.van": 0.3794, "IoU.ship": 0.6051, "IoU.fountain": 0.3621, "IoU.conveyer belt": 0.7563, "IoU.canopy": 0.2874, "IoU.washer": 0.6631, "IoU.plaything": 0.1975, "IoU.swimming pool": 0.6913, "IoU.stool": 0.3636, "IoU.barrel": 0.4916, "IoU.basket": 0.2953, "IoU.waterfall": 0.5099, "IoU.tent": 0.8926, "IoU.bag": 0.1077, "IoU.minibike": 0.7403, "IoU.cradle": NaN, "IoU.oven": 0.2765, "IoU.ball": 0.463, "IoU.food": 0.5951, "IoU.step": 0.0847, "IoU.tank": 0.4349, "IoU.trade name": 0.1888, "IoU.microwave": 0.7012, "IoU.pot": 0.4692, "IoU.animal": NaN, "IoU.bicycle": 0.5323, "IoU.lake": 0.5035, "IoU.dishwasher": 0.49, "IoU.screen": 0.7652, "IoU.blanket": 0.2506, "IoU.sculpture": 0.5816, "IoU.hood": 0.6065, "IoU.sconce": 0.4013, "IoU.vase": 0.3467, "IoU.traffic light": 0.2865, "IoU.tray": 0.0653, "IoU.ashcan": 0.3553, "IoU.fan": 0.5775, "IoU.pier": 0.5112, "IoU.crt screen": 0.0052, "IoU.plate": 0.5553, "IoU.monitor": 0.0963, "IoU.bulletin board": 0.3564, "IoU.shower": 0.0, "IoU.radiator": 0.5359, "IoU.glass": 0.1256, "IoU.clock": 0.3771, "IoU.flag": 0.5033, "Acc.wall": 0.8724, "Acc.building": 0.9133, "Acc.sky": 0.973, "Acc.floor": 0.8917, "Acc.tree": 0.8507, "Acc.ceiling": 0.9179, "Acc.road": 0.9006, "Acc.bed ": 0.9485, "Acc.windowpane": 0.7865, "Acc.grass": 0.8491, "Acc.cabinet": 0.7271, "Acc.sidewalk": 0.8071, "Acc.person": 0.9052, "Acc.earth": 0.4567, "Acc.door": 0.5897, "Acc.table": 0.7293, "Acc.mountain": 0.7335, "Acc.plant": 0.6271, "Acc.curtain": 0.7909, "Acc.chair": 0.6818, "Acc.car": 0.8948, "Acc.water": 0.6583, "Acc.painting": 0.8624, "Acc.sofa": 0.742, "Acc.shelf": 0.6006, "Acc.house": 0.7224, "Acc.sea": 0.7717, "Acc.mirror": 0.7173, "Acc.rug": 0.723, "Acc.field": 0.4375, "Acc.armchair": 0.6323, "Acc.seat": 0.8183, "Acc.fence": 0.6104, "Acc.desk": 0.6306, "Acc.rock": 0.5532, "Acc.wardrobe": 0.6524, "Acc.lamp": 0.7254, "Acc.bathtub": 0.8188, "Acc.railing": 0.5254, "Acc.cushion": 0.6096, "Acc.base": 0.3673, "Acc.box": 0.3742, "Acc.column": 0.4539, "Acc.signboard": 0.5108, "Acc.chest of drawers": 0.5059, "Acc.counter": 0.4282, "Acc.sand": 0.7406, "Acc.sink": 0.7803, "Acc.skyscraper": 0.7088, "Acc.fireplace": NaN, "Acc.refrigerator": 0.806, "Acc.grandstand": 0.6999, "Acc.path": 0.3261, "Acc.stairs": 0.3922, "Acc.runway": 0.8872, "Acc.case": 0.5986, "Acc.pool table": 0.9624, "Acc.pillow": 0.7075, "Acc.screen door": 0.6676, "Acc.stairway": 0.3413, "Acc.river": 0.2697, "Acc.bridge": 0.8309, "Acc.bookcase": 0.5834, "Acc.blind": NaN, "Acc.coffee table": 0.7735, "Acc.toilet": 0.8809, "Acc.flower": 0.5854, "Acc.book": 0.6412, "Acc.hill": 0.0823, "Acc.bench": 0.6176, "Acc.countertop": 0.7436, "Acc.stove": 0.8456, "Acc.palm": 0.729, "Acc.kitchen island": 0.6579, "Acc.computer": 0.7128, "Acc.swivel chair": 0.6649, "Acc.boat": 0.4996, "Acc.bar": 0.5122, "Acc.arcade machine": 0.7351, "Acc.hovel": 0.3873, "Acc.bus": 0.9577, "Acc.towel": 0.784, "Acc.light": 0.6081, "Acc.truck": 0.2924, "Acc.tower": 0.2093, "Acc.chandelier": 0.8011, "Acc.awning": 0.2545, "Acc.streetlight": 0.2802, "Acc.booth": 0.6307, "Acc.television receiver": NaN, "Acc.airplane": 0.6658, "Acc.dirt track": 0.1554, "Acc.apparel": 0.4262, "Acc.pole": 0.1907, "Acc.land": 0.0738, "Acc.bannister": 0.1465, "Acc.escalator": 0.5012, "Acc.ottoman": 0.5263, "Acc.bottle": NaN, "Acc.buffet": 0.5238, "Acc.poster": 0.3512, "Acc.stage": 0.2684, "Acc.van": 0.6004, "Acc.ship": 0.9733, "Acc.fountain": 0.3763, "Acc.conveyer belt": 0.8756, "Acc.canopy": 0.3873, "Acc.washer": 0.7763, "Acc.plaything": 0.3573, "Acc.swimming pool": 0.7746, "Acc.stool": 0.4939, "Acc.barrel": 0.6588, "Acc.basket": 0.3622, "Acc.waterfall": 0.6903, "Acc.tent": 0.9832, "Acc.bag": 0.1255, "Acc.minibike": 0.8844, "Acc.cradle": NaN, "Acc.oven": 0.3924, "Acc.ball": 0.5213, "Acc.food": 0.7133, "Acc.step": 0.1106, "Acc.tank": 0.4993, "Acc.trade name": 0.2051, "Acc.microwave": 0.7955, "Acc.pot": 0.5135, "Acc.animal": NaN, "Acc.bicycle": 0.7553, "Acc.lake": 0.5747, "Acc.dishwasher": 0.6171, "Acc.screen": 0.9094, "Acc.blanket": 0.2871, "Acc.sculpture": 0.7809, "Acc.hood": 0.728, "Acc.sconce": 0.4773, "Acc.vase": 0.4622, "Acc.traffic light": 0.4075, "Acc.tray": 0.1159, "Acc.ashcan": 0.4499, "Acc.fan": 0.7608, "Acc.pier": 0.794, "Acc.crt screen": 0.0137, "Acc.plate": 0.7497, "Acc.monitor": 0.1612, "Acc.bulletin board": 0.505, "Acc.shower": 0.0, "Acc.radiator": 0.5864, "Acc.glass": 0.1345, "Acc.clock": 0.4395, "Acc.flag": 0.5588} +{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 26851, "data_time": 1.99214, "decode.loss_seg": 0.21915, "decode.acc_seg": 73.99997, "aux.loss_seg": 0.11699, "aux.acc_seg": 72.09562, "loss": 0.33615, "time": 2.71173} +{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20958, "decode.acc_seg": 74.15641, "aux.loss_seg": 0.11165, "aux.acc_seg": 72.35208, "loss": 0.32123, "time": 0.73633} +{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.21894, "decode.acc_seg": 73.97339, "aux.loss_seg": 0.11456, "aux.acc_seg": 72.19062, "loss": 0.33351, "time": 0.73392} +{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.23548, "decode.acc_seg": 72.68863, "aux.loss_seg": 0.12249, "aux.acc_seg": 70.93639, "loss": 0.35797, "time": 0.72983} +{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.21152, "decode.acc_seg": 73.09111, "aux.loss_seg": 0.11372, "aux.acc_seg": 71.16687, "loss": 0.32524, "time": 0.72963} +{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.21711, "decode.acc_seg": 73.38921, "aux.loss_seg": 0.11353, "aux.acc_seg": 71.61877, "loss": 0.33064, "time": 0.73301} +{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.2118, "decode.acc_seg": 71.93705, "aux.loss_seg": 0.11362, "aux.acc_seg": 70.0613, "loss": 0.32542, "time": 0.73663} +{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.21882, "decode.acc_seg": 73.38955, "aux.loss_seg": 0.11716, "aux.acc_seg": 71.40952, "loss": 0.33598, "time": 0.72315} +{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 26851, "data_time": 0.00713, "decode.loss_seg": 0.21728, "decode.acc_seg": 72.92133, "aux.loss_seg": 0.11475, "aux.acc_seg": 71.04739, "loss": 0.33203, "time": 0.71759} +{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.20702, "decode.acc_seg": 74.32504, "aux.loss_seg": 0.10904, "aux.acc_seg": 72.75533, "loss": 0.31606, "time": 0.71565} +{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 26851, "data_time": 0.00685, "decode.loss_seg": 0.23067, "decode.acc_seg": 73.29489, "aux.loss_seg": 0.121, "aux.acc_seg": 71.47612, "loss": 0.35167, "time": 0.71149} +{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 26851, "data_time": 0.00695, "decode.loss_seg": 0.21403, "decode.acc_seg": 74.61305, "aux.loss_seg": 0.11167, "aux.acc_seg": 73.01105, "loss": 0.3257, "time": 0.71339} +{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 26851, "data_time": 0.00692, "decode.loss_seg": 0.21533, "decode.acc_seg": 74.32458, "aux.loss_seg": 0.11278, "aux.acc_seg": 72.6282, "loss": 0.32811, "time": 0.71579} +{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 26851, "data_time": 0.00692, "decode.loss_seg": 0.21546, "decode.acc_seg": 73.66503, "aux.loss_seg": 0.11341, "aux.acc_seg": 71.85724, "loss": 0.32887, "time": 0.71938} +{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 26851, "data_time": 0.00698, "decode.loss_seg": 0.19812, "decode.acc_seg": 73.59951, "aux.loss_seg": 0.10524, "aux.acc_seg": 71.91653, "loss": 0.30336, "time": 0.71878} +{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.21452, "decode.acc_seg": 71.83985, "aux.loss_seg": 0.11255, "aux.acc_seg": 70.00799, "loss": 0.32707, "time": 0.71784} +{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.22856, "decode.acc_seg": 74.27839, "aux.loss_seg": 0.12113, "aux.acc_seg": 72.35125, "loss": 0.34969, "time": 0.71253} +{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 26851, "data_time": 0.00711, "decode.loss_seg": 0.21281, "decode.acc_seg": 74.3304, "aux.loss_seg": 0.11246, "aux.acc_seg": 72.66046, "loss": 0.32527, "time": 0.71514} +{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.22789, "decode.acc_seg": 73.45678, "aux.loss_seg": 0.11786, "aux.acc_seg": 71.64248, "loss": 0.34575, "time": 0.73013} +{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.2367, "decode.acc_seg": 74.12945, "aux.loss_seg": 0.12166, "aux.acc_seg": 72.37429, "loss": 0.35836, "time": 0.72245} +{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 26851, "data_time": 0.00693, "decode.loss_seg": 0.22897, "decode.acc_seg": 73.40064, "aux.loss_seg": 0.11871, "aux.acc_seg": 71.54386, "loss": 0.34769, "time": 0.72139} +{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 26851, "data_time": 0.00697, "decode.loss_seg": 0.23873, "decode.acc_seg": 73.08243, "aux.loss_seg": 0.12573, "aux.acc_seg": 71.17359, "loss": 0.36447, "time": 0.72098} +{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 26851, "data_time": 0.00689, "decode.loss_seg": 0.22197, "decode.acc_seg": 73.81954, "aux.loss_seg": 0.11506, "aux.acc_seg": 72.16128, "loss": 0.33703, "time": 0.71596} +{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 26851, "data_time": 0.00712, "decode.loss_seg": 0.22725, "decode.acc_seg": 72.8557, "aux.loss_seg": 0.11577, "aux.acc_seg": 71.34153, "loss": 0.34302, "time": 0.71518} +{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.22463, "decode.acc_seg": 72.07009, "aux.loss_seg": 0.11819, "aux.acc_seg": 70.2675, "loss": 0.34282, "time": 0.71744} +{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 26851, "data_time": 0.22201, "decode.loss_seg": 0.22086, "decode.acc_seg": 74.5567, "aux.loss_seg": 0.11751, "aux.acc_seg": 72.66058, "loss": 0.33836, "time": 0.93777} +{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.21952, "decode.acc_seg": 73.01837, "aux.loss_seg": 0.11779, "aux.acc_seg": 71.16962, "loss": 0.33731, "time": 0.72397} +{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.21747, "decode.acc_seg": 74.34807, "aux.loss_seg": 0.11538, "aux.acc_seg": 72.58215, "loss": 0.33286, "time": 0.72176} +{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.21274, "decode.acc_seg": 73.14895, "aux.loss_seg": 0.11152, "aux.acc_seg": 71.50888, "loss": 0.32426, "time": 0.72305} +{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.21975, "decode.acc_seg": 72.81723, "aux.loss_seg": 0.11499, "aux.acc_seg": 71.04025, "loss": 0.33474, "time": 0.72188} +{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.22401, "decode.acc_seg": 73.33184, "aux.loss_seg": 0.11876, "aux.acc_seg": 71.46539, "loss": 0.34277, "time": 0.72355} +{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.22574, "decode.acc_seg": 74.12556, "aux.loss_seg": 0.11912, "aux.acc_seg": 72.3193, "loss": 0.34486, "time": 0.72188} +{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.21356, "decode.acc_seg": 74.30641, "aux.loss_seg": 0.11193, "aux.acc_seg": 72.62861, "loss": 0.32549, "time": 0.71781} +{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.22907, "decode.acc_seg": 72.30202, "aux.loss_seg": 0.12171, "aux.acc_seg": 70.4086, "loss": 0.35079, "time": 0.71412} +{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.20752, "decode.acc_seg": 73.17662, "aux.loss_seg": 0.10989, "aux.acc_seg": 71.42243, "loss": 0.31741, "time": 0.72219} +{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.21608, "decode.acc_seg": 74.74662, "aux.loss_seg": 0.11222, "aux.acc_seg": 73.064, "loss": 0.3283, "time": 0.72094} +{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.21713, "decode.acc_seg": 72.4596, "aux.loss_seg": 0.11625, "aux.acc_seg": 70.64226, "loss": 0.33338, "time": 0.72173} +{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.2178, "decode.acc_seg": 73.57028, "aux.loss_seg": 0.1133, "aux.acc_seg": 71.91849, "loss": 0.3311, "time": 0.72206} +{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.22162, "decode.acc_seg": 73.96542, "aux.loss_seg": 0.11649, "aux.acc_seg": 72.12979, "loss": 0.33811, "time": 0.71906} +{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.22159, "decode.acc_seg": 73.99452, "aux.loss_seg": 0.11645, "aux.acc_seg": 72.22036, "loss": 0.33804, "time": 0.71474} +{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.21794, "decode.acc_seg": 74.26547, "aux.loss_seg": 0.11331, "aux.acc_seg": 72.46092, "loss": 0.33125, "time": 0.71603} +{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.20916, "decode.acc_seg": 73.0329, "aux.loss_seg": 0.10945, "aux.acc_seg": 71.37673, "loss": 0.31861, "time": 0.71852} +{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.21841, "decode.acc_seg": 73.68832, "aux.loss_seg": 0.11445, "aux.acc_seg": 71.89932, "loss": 0.33286, "time": 0.72453} +{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.22531, "decode.acc_seg": 72.51857, "aux.loss_seg": 0.11627, "aux.acc_seg": 70.69888, "loss": 0.34158, "time": 0.7202} +{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.20879, "decode.acc_seg": 73.69159, "aux.loss_seg": 0.1119, "aux.acc_seg": 71.91071, "loss": 0.32069, "time": 0.7244} +{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.2216, "decode.acc_seg": 73.80684, "aux.loss_seg": 0.1154, "aux.acc_seg": 71.98063, "loss": 0.337, "time": 0.729} +{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.22699, "decode.acc_seg": 73.93922, "aux.loss_seg": 0.11894, "aux.acc_seg": 72.19286, "loss": 0.34593, "time": 0.71427} +{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.20787, "decode.acc_seg": 74.84824, "aux.loss_seg": 0.10965, "aux.acc_seg": 72.96029, "loss": 0.31751, "time": 0.71519} +{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.22417, "decode.acc_seg": 71.91681, "aux.loss_seg": 0.11515, "aux.acc_seg": 70.12016, "loss": 0.33932, "time": 0.7214} +{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.22268, "decode.acc_seg": 74.41449, "aux.loss_seg": 0.11431, "aux.acc_seg": 72.79317, "loss": 0.33699, "time": 0.72087} +{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 26851, "data_time": 0.22107, "decode.loss_seg": 0.21588, "decode.acc_seg": 73.88202, "aux.loss_seg": 0.11572, "aux.acc_seg": 71.9899, "loss": 0.33159, "time": 0.93127} +{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 26851, "data_time": 0.00742, "decode.loss_seg": 0.21837, "decode.acc_seg": 73.77183, "aux.loss_seg": 0.11523, "aux.acc_seg": 72.00841, "loss": 0.33359, "time": 0.71245} +{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.22735, "decode.acc_seg": 74.24766, "aux.loss_seg": 0.12032, "aux.acc_seg": 72.3743, "loss": 0.34767, "time": 0.71788} +{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.21033, "decode.acc_seg": 73.20745, "aux.loss_seg": 0.11057, "aux.acc_seg": 71.47321, "loss": 0.32091, "time": 0.72018} +{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.23434, "decode.acc_seg": 75.01993, "aux.loss_seg": 0.121, "aux.acc_seg": 73.22164, "loss": 0.35534, "time": 0.71873} +{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.1967, "decode.acc_seg": 74.29092, "aux.loss_seg": 0.10506, "aux.acc_seg": 72.54481, "loss": 0.30177, "time": 0.7317} +{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.20075, "decode.acc_seg": 73.71103, "aux.loss_seg": 0.10571, "aux.acc_seg": 72.08643, "loss": 0.30646, "time": 0.72202} +{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.21157, "decode.acc_seg": 73.87499, "aux.loss_seg": 0.11111, "aux.acc_seg": 72.1077, "loss": 0.32267, "time": 0.72397} +{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.21213, "decode.acc_seg": 72.75669, "aux.loss_seg": 0.11329, "aux.acc_seg": 70.87163, "loss": 0.32541, "time": 0.71257} +{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.21447, "decode.acc_seg": 75.42328, "aux.loss_seg": 0.11263, "aux.acc_seg": 73.70882, "loss": 0.32711, "time": 0.71896} +{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.21462, "decode.acc_seg": 73.52234, "aux.loss_seg": 0.11421, "aux.acc_seg": 71.68266, "loss": 0.32884, "time": 0.71929} +{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.21447, "decode.acc_seg": 74.37717, "aux.loss_seg": 0.11338, "aux.acc_seg": 72.61867, "loss": 0.32785, "time": 0.71876} +{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.23034, "decode.acc_seg": 73.7048, "aux.loss_seg": 0.12051, "aux.acc_seg": 71.86229, "loss": 0.35085, "time": 0.72081} +{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.20767, "decode.acc_seg": 73.14868, "aux.loss_seg": 0.10973, "aux.acc_seg": 71.33002, "loss": 0.3174, "time": 0.71674} +{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.22075, "decode.acc_seg": 72.97552, "aux.loss_seg": 0.11557, "aux.acc_seg": 71.34277, "loss": 0.33633, "time": 0.71319} +{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 26851, "data_time": 0.00758, "decode.loss_seg": 0.20762, "decode.acc_seg": 73.47164, "aux.loss_seg": 0.11141, "aux.acc_seg": 71.59274, "loss": 0.31903, "time": 0.71443} +{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.22431, "decode.acc_seg": 73.77262, "aux.loss_seg": 0.11814, "aux.acc_seg": 72.10671, "loss": 0.34245, "time": 0.7181} +{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.20705, "decode.acc_seg": 72.90892, "aux.loss_seg": 0.10913, "aux.acc_seg": 71.19706, "loss": 0.31617, "time": 0.72256} +{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.21152, "decode.acc_seg": 75.1223, "aux.loss_seg": 0.11152, "aux.acc_seg": 73.42714, "loss": 0.32304, "time": 0.72158} +{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.21687, "decode.acc_seg": 74.20719, "aux.loss_seg": 0.11386, "aux.acc_seg": 72.42314, "loss": 0.33073, "time": 0.72196} +{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.21224, "decode.acc_seg": 73.47516, "aux.loss_seg": 0.11011, "aux.acc_seg": 71.81747, "loss": 0.32235, "time": 0.72312} +{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.20632, "decode.acc_seg": 72.1432, "aux.loss_seg": 0.10727, "aux.acc_seg": 70.57986, "loss": 0.31359, "time": 0.72426} +{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.21225, "decode.acc_seg": 74.74685, "aux.loss_seg": 0.11236, "aux.acc_seg": 72.92898, "loss": 0.32461, "time": 0.72263} +{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.22736, "decode.acc_seg": 72.56487, "aux.loss_seg": 0.12103, "aux.acc_seg": 70.66059, "loss": 0.34839, "time": 0.71772} +{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.21623, "decode.acc_seg": 73.67711, "aux.loss_seg": 0.11308, "aux.acc_seg": 71.86424, "loss": 0.32931, "time": 0.71607} +{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 26851, "data_time": 0.22606, "decode.loss_seg": 0.22447, "decode.acc_seg": 73.33944, "aux.loss_seg": 0.11904, "aux.acc_seg": 71.41437, "loss": 0.34352, "time": 0.93601} +{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.22075, "decode.acc_seg": 72.50425, "aux.loss_seg": 0.11614, "aux.acc_seg": 70.74893, "loss": 0.33689, "time": 0.71902} +{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.2069, "decode.acc_seg": 74.06035, "aux.loss_seg": 0.11081, "aux.acc_seg": 72.11335, "loss": 0.31771, "time": 0.72117} +{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.2116, "decode.acc_seg": 73.71375, "aux.loss_seg": 0.11017, "aux.acc_seg": 72.12463, "loss": 0.32176, "time": 0.72231} +{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.2189, "decode.acc_seg": 73.49948, "aux.loss_seg": 0.1176, "aux.acc_seg": 71.49906, "loss": 0.3365, "time": 0.72363} +{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.21543, "decode.acc_seg": 72.35658, "aux.loss_seg": 0.11192, "aux.acc_seg": 70.55236, "loss": 0.32735, "time": 0.73486} +{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21925, "decode.acc_seg": 74.24802, "aux.loss_seg": 0.11495, "aux.acc_seg": 72.37673, "loss": 0.3342, "time": 0.73234} +{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21818, "decode.acc_seg": 72.79272, "aux.loss_seg": 0.11198, "aux.acc_seg": 71.14684, "loss": 0.33016, "time": 0.72344} +{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20335, "decode.acc_seg": 73.3139, "aux.loss_seg": 0.10531, "aux.acc_seg": 71.72253, "loss": 0.30866, "time": 0.72113} +{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.20196, "decode.acc_seg": 72.64582, "aux.loss_seg": 0.10904, "aux.acc_seg": 70.81484, "loss": 0.311, "time": 0.72846} +{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.2183, "decode.acc_seg": 73.95103, "aux.loss_seg": 0.11463, "aux.acc_seg": 72.21761, "loss": 0.33293, "time": 0.72778} +{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.21568, "decode.acc_seg": 73.87396, "aux.loss_seg": 0.11465, "aux.acc_seg": 71.93352, "loss": 0.33033, "time": 0.71944} +{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.22008, "decode.acc_seg": 74.31607, "aux.loss_seg": 0.11824, "aux.acc_seg": 72.41665, "loss": 0.33832, "time": 0.71917} +{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.21309, "decode.acc_seg": 73.90362, "aux.loss_seg": 0.11053, "aux.acc_seg": 72.28621, "loss": 0.32362, "time": 0.71944} +{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.19987, "decode.acc_seg": 74.41367, "aux.loss_seg": 0.10619, "aux.acc_seg": 72.6256, "loss": 0.30606, "time": 0.72922} +{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.22369, "decode.acc_seg": 74.43895, "aux.loss_seg": 0.11807, "aux.acc_seg": 72.61961, "loss": 0.34176, "time": 0.72674} +{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.2141, "decode.acc_seg": 73.29964, "aux.loss_seg": 0.11216, "aux.acc_seg": 71.49624, "loss": 0.32626, "time": 0.71745} +{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.20962, "decode.acc_seg": 72.31137, "aux.loss_seg": 0.11042, "aux.acc_seg": 70.72494, "loss": 0.32004, "time": 0.71773} +{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.20538, "decode.acc_seg": 73.97445, "aux.loss_seg": 0.10866, "aux.acc_seg": 72.24436, "loss": 0.31404, "time": 0.71629} +{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.21814, "decode.acc_seg": 73.5191, "aux.loss_seg": 0.11594, "aux.acc_seg": 71.63422, "loss": 0.33409, "time": 0.72033} +{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.2241, "decode.acc_seg": 73.05433, "aux.loss_seg": 0.11893, "aux.acc_seg": 71.23853, "loss": 0.34303, "time": 0.72118} +{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.21069, "decode.acc_seg": 72.45097, "aux.loss_seg": 0.11015, "aux.acc_seg": 70.66812, "loss": 0.32084, "time": 0.72232} +{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.22562, "decode.acc_seg": 74.92441, "aux.loss_seg": 0.11801, "aux.acc_seg": 73.07318, "loss": 0.34362, "time": 0.72068} +{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21102, "decode.acc_seg": 74.20264, "aux.loss_seg": 0.11141, "aux.acc_seg": 72.44805, "loss": 0.32243, "time": 0.71735} +{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.21619, "decode.acc_seg": 74.35032, "aux.loss_seg": 0.11445, "aux.acc_seg": 72.51793, "loss": 0.33063, "time": 0.71308} +{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 26851, "data_time": 0.22063, "decode.loss_seg": 0.22613, "decode.acc_seg": 74.16763, "aux.loss_seg": 0.11775, "aux.acc_seg": 72.51427, "loss": 0.34388, "time": 0.93256} +{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.21784, "decode.acc_seg": 73.07871, "aux.loss_seg": 0.11475, "aux.acc_seg": 71.1019, "loss": 0.33259, "time": 0.71982} +{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.20559, "decode.acc_seg": 73.29176, "aux.loss_seg": 0.10798, "aux.acc_seg": 71.67019, "loss": 0.31357, "time": 0.72262} +{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.2071, "decode.acc_seg": 74.63616, "aux.loss_seg": 0.1093, "aux.acc_seg": 72.82115, "loss": 0.3164, "time": 0.72055} +{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21522, "decode.acc_seg": 73.36106, "aux.loss_seg": 0.11415, "aux.acc_seg": 71.40637, "loss": 0.32937, "time": 0.7221} +{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21551, "decode.acc_seg": 75.27716, "aux.loss_seg": 0.11395, "aux.acc_seg": 73.54108, "loss": 0.32947, "time": 0.72151} +{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.20369, "decode.acc_seg": 74.94643, "aux.loss_seg": 0.10869, "aux.acc_seg": 73.28544, "loss": 0.31238, "time": 0.72973} +{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20912, "decode.acc_seg": 72.49632, "aux.loss_seg": 0.11303, "aux.acc_seg": 70.54947, "loss": 0.32215, "time": 0.71935} +{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.2106, "decode.acc_seg": 73.10975, "aux.loss_seg": 0.11279, "aux.acc_seg": 71.24351, "loss": 0.3234, "time": 0.7188} +{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.20957, "decode.acc_seg": 74.54785, "aux.loss_seg": 0.11066, "aux.acc_seg": 72.87625, "loss": 0.32023, "time": 0.71405} +{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.21016, "decode.acc_seg": 73.1249, "aux.loss_seg": 0.1104, "aux.acc_seg": 71.34478, "loss": 0.32056, "time": 0.71995} +{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.21055, "decode.acc_seg": 73.43149, "aux.loss_seg": 0.11339, "aux.acc_seg": 71.51864, "loss": 0.32393, "time": 0.72087} +{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.21155, "decode.acc_seg": 74.24845, "aux.loss_seg": 0.11119, "aux.acc_seg": 72.53895, "loss": 0.32273, "time": 0.72816} +{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.21472, "decode.acc_seg": 73.04651, "aux.loss_seg": 0.11173, "aux.acc_seg": 71.46477, "loss": 0.32645, "time": 0.7348} +{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.21429, "decode.acc_seg": 73.99243, "aux.loss_seg": 0.10986, "aux.acc_seg": 72.35235, "loss": 0.32415, "time": 0.71917} +{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.21671, "decode.acc_seg": 74.76078, "aux.loss_seg": 0.11383, "aux.acc_seg": 72.97035, "loss": 0.33054, "time": 0.7151} +{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.21658, "decode.acc_seg": 73.43637, "aux.loss_seg": 0.11398, "aux.acc_seg": 71.66958, "loss": 0.33056, "time": 0.72066} +{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.22604, "decode.acc_seg": 74.37964, "aux.loss_seg": 0.11899, "aux.acc_seg": 72.60078, "loss": 0.34503, "time": 0.72857} +{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.23159, "decode.acc_seg": 72.70429, "aux.loss_seg": 0.11995, "aux.acc_seg": 70.97823, "loss": 0.35154, "time": 0.72167} +{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.22045, "decode.acc_seg": 73.26017, "aux.loss_seg": 0.11404, "aux.acc_seg": 71.66263, "loss": 0.33449, "time": 0.73202} +{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.20648, "decode.acc_seg": 72.89131, "aux.loss_seg": 0.1124, "aux.acc_seg": 70.92551, "loss": 0.31887, "time": 0.73365} +{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.22067, "decode.acc_seg": 73.96745, "aux.loss_seg": 0.11797, "aux.acc_seg": 72.04435, "loss": 0.33865, "time": 0.72948} +{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.22072, "decode.acc_seg": 73.0433, "aux.loss_seg": 0.11561, "aux.acc_seg": 71.45061, "loss": 0.33633, "time": 0.72292} +{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.21607, "decode.acc_seg": 73.01538, "aux.loss_seg": 0.11425, "aux.acc_seg": 71.08336, "loss": 0.33031, "time": 0.71702} +{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.21512, "decode.acc_seg": 73.33, "aux.loss_seg": 0.11206, "aux.acc_seg": 71.4789, "loss": 0.32718, "time": 0.72005} +{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.21055, "decode.acc_seg": 75.59826, "aux.loss_seg": 0.11281, "aux.acc_seg": 73.5703, "loss": 0.32336, "time": 0.72266} +{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 26851, "data_time": 0.2256, "decode.loss_seg": 0.20888, "decode.acc_seg": 74.12078, "aux.loss_seg": 0.11416, "aux.acc_seg": 72.17524, "loss": 0.32304, "time": 0.94005} +{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.21603, "decode.acc_seg": 72.94307, "aux.loss_seg": 0.11328, "aux.acc_seg": 71.2146, "loss": 0.32931, "time": 0.72177} +{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.19672, "decode.acc_seg": 73.12179, "aux.loss_seg": 0.10583, "aux.acc_seg": 71.28265, "loss": 0.30255, "time": 0.72296} +{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.20372, "decode.acc_seg": 74.07491, "aux.loss_seg": 0.11029, "aux.acc_seg": 72.13221, "loss": 0.31401, "time": 0.72445} +{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.21109, "decode.acc_seg": 74.02371, "aux.loss_seg": 0.11142, "aux.acc_seg": 72.20213, "loss": 0.32251, "time": 0.72} +{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.21805, "decode.acc_seg": 75.86867, "aux.loss_seg": 0.115, "aux.acc_seg": 73.97206, "loss": 0.33306, "time": 0.71475} +{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.20981, "decode.acc_seg": 75.18611, "aux.loss_seg": 0.11233, "aux.acc_seg": 73.37437, "loss": 0.32213, "time": 0.71593} +{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.20261, "decode.acc_seg": 73.59523, "aux.loss_seg": 0.10622, "aux.acc_seg": 71.92669, "loss": 0.30883, "time": 0.72117} +{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.20555, "decode.acc_seg": 73.46241, "aux.loss_seg": 0.10951, "aux.acc_seg": 71.60593, "loss": 0.31506, "time": 0.72532} +{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21079, "decode.acc_seg": 75.31486, "aux.loss_seg": 0.11194, "aux.acc_seg": 73.48091, "loss": 0.32273, "time": 0.72142} +{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.2114, "decode.acc_seg": 72.82592, "aux.loss_seg": 0.11173, "aux.acc_seg": 71.00954, "loss": 0.32313, "time": 0.73209} +{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20016, "decode.acc_seg": 73.36062, "aux.loss_seg": 0.10848, "aux.acc_seg": 71.60764, "loss": 0.30863, "time": 0.71753} +{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.20976, "decode.acc_seg": 73.8133, "aux.loss_seg": 0.11365, "aux.acc_seg": 71.88392, "loss": 0.32341, "time": 0.71286} +{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.21742, "decode.acc_seg": 74.27396, "aux.loss_seg": 0.11636, "aux.acc_seg": 72.33898, "loss": 0.33378, "time": 0.71494} +{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.2189, "decode.acc_seg": 73.63444, "aux.loss_seg": 0.11463, "aux.acc_seg": 71.93796, "loss": 0.33353, "time": 0.71782} +{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.21405, "decode.acc_seg": 73.98982, "aux.loss_seg": 0.11264, "aux.acc_seg": 72.10164, "loss": 0.32668, "time": 0.72324} +{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.21695, "decode.acc_seg": 73.37377, "aux.loss_seg": 0.11419, "aux.acc_seg": 71.51674, "loss": 0.33114, "time": 0.72075} +{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.213, "decode.acc_seg": 72.60479, "aux.loss_seg": 0.11196, "aux.acc_seg": 70.79201, "loss": 0.32496, "time": 0.72277} +{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.2056, "decode.acc_seg": 74.82624, "aux.loss_seg": 0.10964, "aux.acc_seg": 73.03779, "loss": 0.31524, "time": 0.72157} +{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.21197, "decode.acc_seg": 74.66763, "aux.loss_seg": 0.11235, "aux.acc_seg": 72.93215, "loss": 0.32432, "time": 0.71902} +{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21198, "decode.acc_seg": 75.0371, "aux.loss_seg": 0.11054, "aux.acc_seg": 73.3647, "loss": 0.32252, "time": 0.71345} +{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.2165, "decode.acc_seg": 74.33734, "aux.loss_seg": 0.11375, "aux.acc_seg": 72.50159, "loss": 0.33024, "time": 0.72293} +{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.21609, "decode.acc_seg": 73.78249, "aux.loss_seg": 0.11276, "aux.acc_seg": 72.10205, "loss": 0.32885, "time": 0.72872} +{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.22195, "decode.acc_seg": 74.16434, "aux.loss_seg": 0.1166, "aux.acc_seg": 72.29702, "loss": 0.33855, "time": 0.73284} +{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.21267, "decode.acc_seg": 73.90708, "aux.loss_seg": 0.11073, "aux.acc_seg": 72.07418, "loss": 0.3234, "time": 0.7268} +{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 26851, "data_time": 0.22788, "decode.loss_seg": 0.20702, "decode.acc_seg": 73.92886, "aux.loss_seg": 0.10979, "aux.acc_seg": 72.10908, "loss": 0.31681, "time": 0.94899} +{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.20432, "decode.acc_seg": 74.0121, "aux.loss_seg": 0.1102, "aux.acc_seg": 72.15629, "loss": 0.31452, "time": 0.73134} +{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20898, "decode.acc_seg": 75.36, "aux.loss_seg": 0.11015, "aux.acc_seg": 73.58896, "loss": 0.31914, "time": 0.72098} +{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.19487, "decode.acc_seg": 74.54299, "aux.loss_seg": 0.10566, "aux.acc_seg": 72.7028, "loss": 0.30053, "time": 0.71518} +{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.21755, "decode.acc_seg": 74.87762, "aux.loss_seg": 0.11515, "aux.acc_seg": 73.22562, "loss": 0.33269, "time": 0.71464} +{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.21134, "decode.acc_seg": 73.16417, "aux.loss_seg": 0.11326, "aux.acc_seg": 71.35105, "loss": 0.32459, "time": 0.71903} +{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.2125, "decode.acc_seg": 74.56967, "aux.loss_seg": 0.11609, "aux.acc_seg": 72.42556, "loss": 0.32859, "time": 0.7235} +{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.21355, "decode.acc_seg": 73.46481, "aux.loss_seg": 0.11361, "aux.acc_seg": 71.65791, "loss": 0.32716, "time": 0.72069} +{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.21472, "decode.acc_seg": 73.58366, "aux.loss_seg": 0.11381, "aux.acc_seg": 71.77409, "loss": 0.32852, "time": 0.72698} +{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.22484, "decode.acc_seg": 74.15233, "aux.loss_seg": 0.11694, "aux.acc_seg": 72.3285, "loss": 0.34179, "time": 0.73275} +{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21114, "decode.acc_seg": 74.90696, "aux.loss_seg": 0.11306, "aux.acc_seg": 72.98793, "loss": 0.3242, "time": 0.73393} +{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.21244, "decode.acc_seg": 73.50082, "aux.loss_seg": 0.11198, "aux.acc_seg": 71.77836, "loss": 0.32442, "time": 0.72895} +{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.19655, "decode.acc_seg": 74.30696, "aux.loss_seg": 0.1055, "aux.acc_seg": 72.53143, "loss": 0.30205, "time": 0.72982} +{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.20212, "decode.acc_seg": 72.03855, "aux.loss_seg": 0.10847, "aux.acc_seg": 70.24469, "loss": 0.31059, "time": 0.7369} +{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.2095, "decode.acc_seg": 74.80034, "aux.loss_seg": 0.11225, "aux.acc_seg": 72.94397, "loss": 0.32175, "time": 0.73129} +{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.19764, "decode.acc_seg": 73.18497, "aux.loss_seg": 0.10369, "aux.acc_seg": 71.5792, "loss": 0.30133, "time": 0.72906} +{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.19815, "decode.acc_seg": 73.77965, "aux.loss_seg": 0.10873, "aux.acc_seg": 71.78133, "loss": 0.30688, "time": 0.72678} +{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.21347, "decode.acc_seg": 74.04913, "aux.loss_seg": 0.11343, "aux.acc_seg": 72.34017, "loss": 0.32691, "time": 0.72506} +{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.20118, "decode.acc_seg": 73.97789, "aux.loss_seg": 0.10789, "aux.acc_seg": 72.28075, "loss": 0.30907, "time": 0.72594} +{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.20382, "decode.acc_seg": 74.6004, "aux.loss_seg": 0.10826, "aux.acc_seg": 72.66411, "loss": 0.31208, "time": 0.73006} +{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.20455, "decode.acc_seg": 72.4314, "aux.loss_seg": 0.10979, "aux.acc_seg": 70.56697, "loss": 0.31434, "time": 0.73588} +{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.20742, "decode.acc_seg": 74.91847, "aux.loss_seg": 0.11043, "aux.acc_seg": 73.11597, "loss": 0.31786, "time": 0.7257} +{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.20928, "decode.acc_seg": 75.38052, "aux.loss_seg": 0.11065, "aux.acc_seg": 73.58455, "loss": 0.31993, "time": 0.72058} +{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.2146, "decode.acc_seg": 72.52324, "aux.loss_seg": 0.11103, "aux.acc_seg": 70.93961, "loss": 0.32563, "time": 0.72922} +{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.21527, "decode.acc_seg": 73.34218, "aux.loss_seg": 0.11436, "aux.acc_seg": 71.62264, "loss": 0.32963, "time": 0.73822} +{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 26851, "data_time": 0.25007, "decode.loss_seg": 0.2089, "decode.acc_seg": 73.47536, "aux.loss_seg": 0.11391, "aux.acc_seg": 71.40712, "loss": 0.32281, "time": 0.97168} +{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.20593, "decode.acc_seg": 73.92211, "aux.loss_seg": 0.10987, "aux.acc_seg": 72.00034, "loss": 0.3158, "time": 0.734} +{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.20409, "decode.acc_seg": 73.52355, "aux.loss_seg": 0.10978, "aux.acc_seg": 71.58341, "loss": 0.31387, "time": 0.73691} +{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 26851, "data_time": 0.00905, "decode.loss_seg": 0.20458, "decode.acc_seg": 74.08472, "aux.loss_seg": 0.10827, "aux.acc_seg": 72.37418, "loss": 0.31285, "time": 0.73431} +{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.20623, "decode.acc_seg": 73.75771, "aux.loss_seg": 0.10931, "aux.acc_seg": 71.99078, "loss": 0.31555, "time": 0.72505} +{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20571, "decode.acc_seg": 74.96595, "aux.loss_seg": 0.11087, "aux.acc_seg": 73.08316, "loss": 0.31659, "time": 0.72528} +{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.2277, "decode.acc_seg": 75.1931, "aux.loss_seg": 0.11868, "aux.acc_seg": 73.38439, "loss": 0.34638, "time": 0.72776} +{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.21541, "decode.acc_seg": 75.18449, "aux.loss_seg": 0.11489, "aux.acc_seg": 73.35934, "loss": 0.3303, "time": 0.73276} +{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.21084, "decode.acc_seg": 74.34402, "aux.loss_seg": 0.11058, "aux.acc_seg": 72.6897, "loss": 0.32142, "time": 0.72866} +{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.2076, "decode.acc_seg": 72.7548, "aux.loss_seg": 0.10905, "aux.acc_seg": 71.00249, "loss": 0.31665, "time": 0.72423} +{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.1977, "decode.acc_seg": 74.7283, "aux.loss_seg": 0.10476, "aux.acc_seg": 73.08811, "loss": 0.30247, "time": 0.72198} +{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.20851, "decode.acc_seg": 72.04273, "aux.loss_seg": 0.10987, "aux.acc_seg": 70.17482, "loss": 0.31839, "time": 0.72535} +{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 26851, "data_time": 0.00919, "decode.loss_seg": 0.20235, "decode.acc_seg": 74.30818, "aux.loss_seg": 0.10771, "aux.acc_seg": 72.56974, "loss": 0.31006, "time": 0.73106} +{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22597, "decode.acc_seg": 74.38657, "aux.loss_seg": 0.11859, "aux.acc_seg": 72.61251, "loss": 0.34456, "time": 0.73252} +{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.20832, "decode.acc_seg": 72.49513, "aux.loss_seg": 0.11232, "aux.acc_seg": 70.62769, "loss": 0.32064, "time": 0.73506} +{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.21704, "decode.acc_seg": 72.55049, "aux.loss_seg": 0.11684, "aux.acc_seg": 70.61314, "loss": 0.33387, "time": 0.73008} +{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.21261, "decode.acc_seg": 74.9713, "aux.loss_seg": 0.11339, "aux.acc_seg": 73.11529, "loss": 0.326, "time": 0.72518} +{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.21113, "decode.acc_seg": 73.11805, "aux.loss_seg": 0.1134, "aux.acc_seg": 71.24937, "loss": 0.32453, "time": 0.72725} +{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.21464, "decode.acc_seg": 75.57089, "aux.loss_seg": 0.11624, "aux.acc_seg": 73.60271, "loss": 0.33087, "time": 0.72608} +{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.21163, "decode.acc_seg": 74.45191, "aux.loss_seg": 0.11262, "aux.acc_seg": 72.67847, "loss": 0.32425, "time": 0.73247} +{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.20172, "decode.acc_seg": 73.8217, "aux.loss_seg": 0.10779, "aux.acc_seg": 72.0432, "loss": 0.30951, "time": 0.73101} +{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20198, "decode.acc_seg": 73.85267, "aux.loss_seg": 0.10686, "aux.acc_seg": 72.12573, "loss": 0.30883, "time": 0.73011} +{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.20493, "decode.acc_seg": 74.1879, "aux.loss_seg": 0.10867, "aux.acc_seg": 72.5898, "loss": 0.3136, "time": 0.73234} +{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.21238, "decode.acc_seg": 73.68231, "aux.loss_seg": 0.1127, "aux.acc_seg": 71.89839, "loss": 0.32508, "time": 0.73385} +{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20655, "decode.acc_seg": 72.06046, "aux.loss_seg": 0.11122, "aux.acc_seg": 70.11147, "loss": 0.31777, "time": 0.72913} +{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 26851, "data_time": 0.24751, "decode.loss_seg": 0.19708, "decode.acc_seg": 74.35853, "aux.loss_seg": 0.10501, "aux.acc_seg": 72.54631, "loss": 0.30209, "time": 0.96808} +{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 26851, "data_time": 0.00921, "decode.loss_seg": 0.1932, "decode.acc_seg": 74.4133, "aux.loss_seg": 0.10179, "aux.acc_seg": 72.66711, "loss": 0.295, "time": 0.72884} +{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.20458, "decode.acc_seg": 73.56282, "aux.loss_seg": 0.10893, "aux.acc_seg": 71.78879, "loss": 0.31351, "time": 0.72438} +{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.20685, "decode.acc_seg": 73.89254, "aux.loss_seg": 0.11153, "aux.acc_seg": 71.94797, "loss": 0.31838, "time": 0.727} +{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.21115, "decode.acc_seg": 74.77086, "aux.loss_seg": 0.11235, "aux.acc_seg": 72.91661, "loss": 0.3235, "time": 0.73029} +{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.20242, "decode.acc_seg": 73.31697, "aux.loss_seg": 0.1105, "aux.acc_seg": 71.32117, "loss": 0.31291, "time": 0.7349} +{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.20108, "decode.acc_seg": 72.98968, "aux.loss_seg": 0.10631, "aux.acc_seg": 71.18999, "loss": 0.30739, "time": 0.73175} +{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.19193, "decode.acc_seg": 73.50245, "aux.loss_seg": 0.1011, "aux.acc_seg": 71.86911, "loss": 0.29303, "time": 0.73182} +{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.20754, "decode.acc_seg": 73.41364, "aux.loss_seg": 0.11348, "aux.acc_seg": 71.50232, "loss": 0.32101, "time": 0.72664} +{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.20446, "decode.acc_seg": 74.42019, "aux.loss_seg": 0.10796, "aux.acc_seg": 72.64948, "loss": 0.31242, "time": 0.73124} +{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.20555, "decode.acc_seg": 74.91262, "aux.loss_seg": 0.11154, "aux.acc_seg": 72.95266, "loss": 0.31709, "time": 0.73149} +{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.20218, "decode.acc_seg": 73.71555, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.02388, "loss": 0.30971, "time": 0.73503} +{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.19734, "decode.acc_seg": 74.12321, "aux.loss_seg": 0.10431, "aux.acc_seg": 72.47224, "loss": 0.30166, "time": 0.73237} +{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.20325, "decode.acc_seg": 73.28872, "aux.loss_seg": 0.10893, "aux.acc_seg": 71.50704, "loss": 0.31219, "time": 0.73753} +{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.20856, "decode.acc_seg": 74.70912, "aux.loss_seg": 0.11496, "aux.acc_seg": 72.84657, "loss": 0.32351, "time": 0.73326} +{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.19873, "decode.acc_seg": 75.23131, "aux.loss_seg": 0.10552, "aux.acc_seg": 73.48759, "loss": 0.30425, "time": 0.73411} +{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20632, "decode.acc_seg": 74.18566, "aux.loss_seg": 0.10969, "aux.acc_seg": 72.32963, "loss": 0.31601, "time": 0.7298} +{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.19746, "decode.acc_seg": 73.65546, "aux.loss_seg": 0.10628, "aux.acc_seg": 71.76731, "loss": 0.30373, "time": 0.72659} +{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.21048, "decode.acc_seg": 73.65761, "aux.loss_seg": 0.11147, "aux.acc_seg": 71.81883, "loss": 0.32195, "time": 0.72755} +{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.2036, "decode.acc_seg": 73.30357, "aux.loss_seg": 0.10938, "aux.acc_seg": 71.46085, "loss": 0.31298, "time": 0.72797} +{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.20038, "decode.acc_seg": 73.98028, "aux.loss_seg": 0.10602, "aux.acc_seg": 72.26822, "loss": 0.30641, "time": 0.73117} +{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.19822, "decode.acc_seg": 74.62464, "aux.loss_seg": 0.10587, "aux.acc_seg": 72.85805, "loss": 0.30409, "time": 0.73393} +{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.209, "decode.acc_seg": 74.89132, "aux.loss_seg": 0.1122, "aux.acc_seg": 72.96276, "loss": 0.3212, "time": 0.73289} +{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.20366, "decode.acc_seg": 73.8701, "aux.loss_seg": 0.10818, "aux.acc_seg": 72.05559, "loss": 0.31184, "time": 0.73139} +{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.20409, "decode.acc_seg": 73.21036, "aux.loss_seg": 0.10743, "aux.acc_seg": 71.5034, "loss": 0.31153, "time": 0.72679} +{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.20251, "decode.acc_seg": 74.16578, "aux.loss_seg": 0.11, "aux.acc_seg": 72.2787, "loss": 0.31251, "time": 0.72699} +{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 26851, "data_time": 0.25114, "decode.loss_seg": 0.20502, "decode.acc_seg": 74.78547, "aux.loss_seg": 0.10747, "aux.acc_seg": 73.15606, "loss": 0.31249, "time": 0.9713} +{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.1995, "decode.acc_seg": 74.78719, "aux.loss_seg": 0.10631, "aux.acc_seg": 72.97875, "loss": 0.30582, "time": 0.73358} +{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.19944, "decode.acc_seg": 74.99392, "aux.loss_seg": 0.10613, "aux.acc_seg": 73.11518, "loss": 0.30557, "time": 0.7369} +{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.19899, "decode.acc_seg": 73.6763, "aux.loss_seg": 0.10583, "aux.acc_seg": 71.81863, "loss": 0.30482, "time": 0.73441} +{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.21041, "decode.acc_seg": 74.79829, "aux.loss_seg": 0.11166, "aux.acc_seg": 72.99319, "loss": 0.32207, "time": 0.73387} +{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.20684, "decode.acc_seg": 74.69341, "aux.loss_seg": 0.11095, "aux.acc_seg": 72.94934, "loss": 0.31779, "time": 0.73219} +{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.19985, "decode.acc_seg": 73.97647, "aux.loss_seg": 0.10731, "aux.acc_seg": 72.17939, "loss": 0.30716, "time": 0.73177} +{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.22009, "decode.acc_seg": 74.42022, "aux.loss_seg": 0.1145, "aux.acc_seg": 72.6627, "loss": 0.33459, "time": 0.72876} +{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19435, "decode.acc_seg": 75.53312, "aux.loss_seg": 0.10325, "aux.acc_seg": 73.87216, "loss": 0.2976, "time": 0.72949} +{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.21497, "decode.acc_seg": 72.73523, "aux.loss_seg": 0.11483, "aux.acc_seg": 70.8998, "loss": 0.3298, "time": 0.74013} +{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.20991, "decode.acc_seg": 73.31419, "aux.loss_seg": 0.1092, "aux.acc_seg": 71.6934, "loss": 0.31912, "time": 0.73197} +{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20153, "decode.acc_seg": 73.78163, "aux.loss_seg": 0.10697, "aux.acc_seg": 72.13666, "loss": 0.3085, "time": 0.73083} +{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.20212, "decode.acc_seg": 73.20539, "aux.loss_seg": 0.10664, "aux.acc_seg": 71.54079, "loss": 0.30876, "time": 0.73136} +{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.20536, "decode.acc_seg": 72.9299, "aux.loss_seg": 0.10981, "aux.acc_seg": 71.09714, "loss": 0.31516, "time": 0.73173} +{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.20002, "decode.acc_seg": 72.82361, "aux.loss_seg": 0.10532, "aux.acc_seg": 71.18327, "loss": 0.30534, "time": 0.73355} +{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20819, "decode.acc_seg": 73.46097, "aux.loss_seg": 0.11065, "aux.acc_seg": 71.67103, "loss": 0.31884, "time": 0.7356} +{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.21508, "decode.acc_seg": 73.82685, "aux.loss_seg": 0.11238, "aux.acc_seg": 72.23555, "loss": 0.32745, "time": 0.73361} +{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.2114, "decode.acc_seg": 74.8634, "aux.loss_seg": 0.11101, "aux.acc_seg": 73.12949, "loss": 0.32241, "time": 0.73158} +{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.22342, "decode.acc_seg": 73.69126, "aux.loss_seg": 0.11752, "aux.acc_seg": 71.84403, "loss": 0.34095, "time": 0.7324} +{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.21303, "decode.acc_seg": 73.39479, "aux.loss_seg": 0.11236, "aux.acc_seg": 71.63909, "loss": 0.32539, "time": 0.73314} +{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.19414, "decode.acc_seg": 73.36856, "aux.loss_seg": 0.10443, "aux.acc_seg": 71.67485, "loss": 0.29857, "time": 0.73464} +{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.20387, "decode.acc_seg": 74.34503, "aux.loss_seg": 0.10841, "aux.acc_seg": 72.59162, "loss": 0.31228, "time": 0.73074} +{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.1877, "decode.acc_seg": 73.49452, "aux.loss_seg": 0.10261, "aux.acc_seg": 71.68321, "loss": 0.2903, "time": 0.72742} +{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20274, "decode.acc_seg": 73.17812, "aux.loss_seg": 0.10654, "aux.acc_seg": 71.53705, "loss": 0.30928, "time": 0.72874} +{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20485, "decode.acc_seg": 74.09579, "aux.loss_seg": 0.11124, "aux.acc_seg": 72.21757, "loss": 0.31609, "time": 0.73161} +{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 26851, "data_time": 0.24878, "decode.loss_seg": 0.20574, "decode.acc_seg": 74.10845, "aux.loss_seg": 0.1102, "aux.acc_seg": 72.22672, "loss": 0.31594, "time": 0.97015} +{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.19207, "decode.acc_seg": 72.01077, "aux.loss_seg": 0.10267, "aux.acc_seg": 70.32735, "loss": 0.29473, "time": 0.73122} +{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.19919, "decode.acc_seg": 76.44908, "aux.loss_seg": 0.10907, "aux.acc_seg": 74.43653, "loss": 0.30825, "time": 0.72874} +{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.21052, "decode.acc_seg": 72.80501, "aux.loss_seg": 0.11124, "aux.acc_seg": 71.03501, "loss": 0.32176, "time": 0.72715} +{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.206, "decode.acc_seg": 74.1452, "aux.loss_seg": 0.11029, "aux.acc_seg": 72.28503, "loss": 0.31629, "time": 0.72761} +{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.1998, "decode.acc_seg": 73.89528, "aux.loss_seg": 0.10646, "aux.acc_seg": 72.21632, "loss": 0.30626, "time": 0.72678} +{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.20531, "decode.acc_seg": 74.41118, "aux.loss_seg": 0.10843, "aux.acc_seg": 72.90779, "loss": 0.31374, "time": 0.72914} +{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.77244, "aux.loss_seg": 0.11106, "aux.acc_seg": 71.79725, "loss": 0.31773, "time": 0.73148} +{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.20005, "decode.acc_seg": 73.65159, "aux.loss_seg": 0.10682, "aux.acc_seg": 71.85251, "loss": 0.30686, "time": 0.73541} +{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.20886, "decode.acc_seg": 72.26941, "aux.loss_seg": 0.11481, "aux.acc_seg": 70.25452, "loss": 0.32367, "time": 0.72892} +{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.20532, "decode.acc_seg": 74.63663, "aux.loss_seg": 0.10823, "aux.acc_seg": 72.88792, "loss": 0.31355, "time": 0.72418} +{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.20043, "decode.acc_seg": 74.19617, "aux.loss_seg": 0.10852, "aux.acc_seg": 72.33365, "loss": 0.30895, "time": 0.72838} +{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.47897, "aux.loss_seg": 0.10442, "aux.acc_seg": 71.75811, "loss": 0.29893, "time": 0.73114} +{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.19161, "decode.acc_seg": 73.91662, "aux.loss_seg": 0.10242, "aux.acc_seg": 72.25319, "loss": 0.29403, "time": 0.72878} +{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20697, "decode.acc_seg": 74.23226, "aux.loss_seg": 0.11098, "aux.acc_seg": 72.39995, "loss": 0.31795, "time": 0.72658} +{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.21037, "decode.acc_seg": 73.96366, "aux.loss_seg": 0.11026, "aux.acc_seg": 72.18341, "loss": 0.32064, "time": 0.72868} +{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19064, "decode.acc_seg": 73.62162, "aux.loss_seg": 0.10214, "aux.acc_seg": 72.02661, "loss": 0.29278, "time": 0.72747} +{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.20019, "decode.acc_seg": 74.22624, "aux.loss_seg": 0.10665, "aux.acc_seg": 72.32708, "loss": 0.30684, "time": 0.72977} +{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.53906, "aux.loss_seg": 0.10373, "aux.acc_seg": 71.84188, "loss": 0.29825, "time": 0.72984} +{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.21389, "decode.acc_seg": 72.80032, "aux.loss_seg": 0.11341, "aux.acc_seg": 70.94598, "loss": 0.3273, "time": 0.72837} +{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.21572, "decode.acc_seg": 74.76056, "aux.loss_seg": 0.1141, "aux.acc_seg": 72.95562, "loss": 0.32983, "time": 0.72937} +{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.21006, "decode.acc_seg": 72.79007, "aux.loss_seg": 0.1107, "aux.acc_seg": 70.9486, "loss": 0.32076, "time": 0.72934} +{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.20385, "decode.acc_seg": 74.75954, "aux.loss_seg": 0.11011, "aux.acc_seg": 72.92793, "loss": 0.31396, "time": 0.73512} +{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.20256, "decode.acc_seg": 73.52514, "aux.loss_seg": 0.10626, "aux.acc_seg": 71.85498, "loss": 0.30882, "time": 0.73417} +{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.20273, "decode.acc_seg": 74.4278, "aux.loss_seg": 0.10927, "aux.acc_seg": 72.55432, "loss": 0.31199, "time": 0.72909} +{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 26851, "data_time": 0.23019, "decode.loss_seg": 0.2049, "decode.acc_seg": 75.84885, "aux.loss_seg": 0.11029, "aux.acc_seg": 73.83958, "loss": 0.31519, "time": 0.94955} +{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.20639, "decode.acc_seg": 73.67438, "aux.loss_seg": 0.10991, "aux.acc_seg": 71.96414, "loss": 0.31631, "time": 0.72865} +{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.20719, "decode.acc_seg": 73.66755, "aux.loss_seg": 0.11286, "aux.acc_seg": 71.72857, "loss": 0.32005, "time": 0.73494} +{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.19471, "decode.acc_seg": 75.40614, "aux.loss_seg": 0.10532, "aux.acc_seg": 73.57402, "loss": 0.30003, "time": 0.73208} +{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20753, "decode.acc_seg": 74.68147, "aux.loss_seg": 0.11147, "aux.acc_seg": 72.86671, "loss": 0.319, "time": 0.73587} +{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.20034, "decode.acc_seg": 74.16365, "aux.loss_seg": 0.11042, "aux.acc_seg": 72.21721, "loss": 0.31076, "time": 0.73974} +{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.19654, "decode.acc_seg": 74.67318, "aux.loss_seg": 0.10682, "aux.acc_seg": 72.77246, "loss": 0.30336, "time": 0.72912} +{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.19199, "decode.acc_seg": 72.99188, "aux.loss_seg": 0.10426, "aux.acc_seg": 71.1925, "loss": 0.29626, "time": 0.73002} +{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.1949, "decode.acc_seg": 74.20824, "aux.loss_seg": 0.10334, "aux.acc_seg": 72.55051, "loss": 0.29824, "time": 0.72704} +{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.19204, "decode.acc_seg": 74.14963, "aux.loss_seg": 0.10411, "aux.acc_seg": 72.34229, "loss": 0.29615, "time": 0.72221} +{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.19889, "decode.acc_seg": 74.62147, "aux.loss_seg": 0.10652, "aux.acc_seg": 72.73408, "loss": 0.30541, "time": 0.72832} +{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.20463, "decode.acc_seg": 74.28428, "aux.loss_seg": 0.11073, "aux.acc_seg": 72.37298, "loss": 0.31536, "time": 0.72944} +{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.20798, "decode.acc_seg": 74.15728, "aux.loss_seg": 0.11187, "aux.acc_seg": 72.37881, "loss": 0.31985, "time": 0.72817} +{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.20163, "decode.acc_seg": 74.6359, "aux.loss_seg": 0.10804, "aux.acc_seg": 72.84241, "loss": 0.30967, "time": 0.72383} +{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.20465, "decode.acc_seg": 74.74207, "aux.loss_seg": 0.10948, "aux.acc_seg": 73.02896, "loss": 0.31413, "time": 0.72319} +{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.20134, "decode.acc_seg": 74.26191, "aux.loss_seg": 0.10719, "aux.acc_seg": 72.56268, "loss": 0.30853, "time": 0.73391} +{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.20487, "decode.acc_seg": 74.42118, "aux.loss_seg": 0.1112, "aux.acc_seg": 72.54479, "loss": 0.31606, "time": 0.72892} +{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19513, "decode.acc_seg": 72.87453, "aux.loss_seg": 0.10392, "aux.acc_seg": 71.13614, "loss": 0.29905, "time": 0.72897} +{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.21104, "decode.acc_seg": 73.38298, "aux.loss_seg": 0.11235, "aux.acc_seg": 71.64666, "loss": 0.32338, "time": 0.72531} +{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.20226, "decode.acc_seg": 74.71569, "aux.loss_seg": 0.10706, "aux.acc_seg": 72.93636, "loss": 0.30932, "time": 0.72114} +{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.21222, "decode.acc_seg": 72.82306, "aux.loss_seg": 0.11339, "aux.acc_seg": 70.9311, "loss": 0.32561, "time": 0.72691} +{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.20834, "decode.acc_seg": 73.16081, "aux.loss_seg": 0.11089, "aux.acc_seg": 71.40261, "loss": 0.31924, "time": 0.73005} +{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.19666, "decode.acc_seg": 74.44863, "aux.loss_seg": 0.10586, "aux.acc_seg": 72.71242, "loss": 0.30252, "time": 0.73066} +{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.19885, "decode.acc_seg": 73.34013, "aux.loss_seg": 0.10987, "aux.acc_seg": 71.25658, "loss": 0.30872, "time": 0.72421} +{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.21306, "decode.acc_seg": 73.54994, "aux.loss_seg": 0.11217, "aux.acc_seg": 71.802, "loss": 0.32523, "time": 0.72676} +{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 26851, "data_time": 0.24862, "decode.loss_seg": 0.1962, "decode.acc_seg": 73.1883, "aux.loss_seg": 0.10237, "aux.acc_seg": 71.53344, "loss": 0.29857, "time": 0.96733} +{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 26851, "data_time": 0.00888, "decode.loss_seg": 0.19787, "decode.acc_seg": 73.48688, "aux.loss_seg": 0.1062, "aux.acc_seg": 71.67725, "loss": 0.30408, "time": 0.72865} +{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18879, "decode.acc_seg": 74.6523, "aux.loss_seg": 0.10115, "aux.acc_seg": 73.00572, "loss": 0.28994, "time": 0.72921} +{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.20951, "decode.acc_seg": 73.27544, "aux.loss_seg": 0.11054, "aux.acc_seg": 71.54281, "loss": 0.32004, "time": 0.7303} +{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.19392, "decode.acc_seg": 73.71528, "aux.loss_seg": 0.10551, "aux.acc_seg": 71.80892, "loss": 0.29943, "time": 0.72659} +{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.20331, "decode.acc_seg": 74.09903, "aux.loss_seg": 0.10793, "aux.acc_seg": 72.43907, "loss": 0.31125, "time": 0.72641} +{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.1921, "decode.acc_seg": 74.12479, "aux.loss_seg": 0.10291, "aux.acc_seg": 72.35482, "loss": 0.295, "time": 0.72952} +{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.19191, "decode.acc_seg": 75.46141, "aux.loss_seg": 0.10143, "aux.acc_seg": 73.66767, "loss": 0.29335, "time": 0.72872} +{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.19808, "decode.acc_seg": 74.1216, "aux.loss_seg": 0.10515, "aux.acc_seg": 72.39916, "loss": 0.30324, "time": 0.73164} +{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.20414, "decode.acc_seg": 75.41673, "aux.loss_seg": 0.11046, "aux.acc_seg": 73.51536, "loss": 0.31459, "time": 0.73116} +{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.19764, "decode.acc_seg": 75.0159, "aux.loss_seg": 0.10534, "aux.acc_seg": 73.27456, "loss": 0.30298, "time": 0.73309} +{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.19318, "decode.acc_seg": 73.06875, "aux.loss_seg": 0.10442, "aux.acc_seg": 71.23723, "loss": 0.29761, "time": 0.72709} +{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.19099, "decode.acc_seg": 73.43133, "aux.loss_seg": 0.10149, "aux.acc_seg": 71.66942, "loss": 0.29248, "time": 0.72475} +{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.20633, "decode.acc_seg": 73.63111, "aux.loss_seg": 0.11024, "aux.acc_seg": 71.84387, "loss": 0.31657, "time": 0.73052} +{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.1974, "decode.acc_seg": 75.6228, "aux.loss_seg": 0.10844, "aux.acc_seg": 73.71504, "loss": 0.30584, "time": 0.73002} +{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.20548, "decode.acc_seg": 73.97817, "aux.loss_seg": 0.11003, "aux.acc_seg": 72.19191, "loss": 0.31551, "time": 0.72928} +{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.194, "decode.acc_seg": 74.25556, "aux.loss_seg": 0.10521, "aux.acc_seg": 72.44633, "loss": 0.29921, "time": 0.72453} +{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4707, "mAcc": 0.594, "aAcc": 0.8196, "IoU.wall": 0.7572, "IoU.building": 0.8075, "IoU.sky": 0.9386, "IoU.floor": 0.8091, "IoU.tree": 0.7366, "IoU.ceiling": 0.8355, "IoU.road": 0.8358, "IoU.bed ": 0.8636, "IoU.windowpane": 0.5958, "IoU.grass": 0.6498, "IoU.cabinet": 0.5813, "IoU.sidewalk": 0.6632, "IoU.person": 0.7774, "IoU.earth": 0.3649, "IoU.door": 0.4394, "IoU.table": 0.5624, "IoU.mountain": 0.55, "IoU.plant": 0.5294, "IoU.curtain": 0.7093, "IoU.chair": 0.5409, "IoU.car": 0.8155, "IoU.water": 0.5094, "IoU.painting": 0.7125, "IoU.sofa": 0.5955, "IoU.shelf": 0.4212, "IoU.house": 0.458, "IoU.sea": 0.4897, "IoU.mirror": 0.5991, "IoU.rug": 0.6394, "IoU.field": 0.263, "IoU.armchair": 0.4195, "IoU.seat": 0.6248, "IoU.fence": 0.4115, "IoU.desk": 0.4697, "IoU.rock": 0.4409, "IoU.wardrobe": 0.4636, "IoU.lamp": 0.5949, "IoU.bathtub": 0.7549, "IoU.railing": 0.3394, "IoU.cushion": 0.5329, "IoU.base": 0.3263, "IoU.box": 0.2472, "IoU.column": 0.4259, "IoU.signboard": 0.3639, "IoU.chest of drawers": 0.3712, "IoU.counter": 0.3683, "IoU.sand": 0.5295, "IoU.sink": 0.7038, "IoU.skyscraper": 0.4501, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6656, "IoU.grandstand": 0.4063, "IoU.path": 0.2612, "IoU.stairs": 0.2761, "IoU.runway": 0.6703, "IoU.case": 0.4618, "IoU.pool table": 0.9045, "IoU.pillow": 0.552, "IoU.screen door": 0.6856, "IoU.stairway": 0.2836, "IoU.river": 0.1308, "IoU.bridge": 0.6774, "IoU.bookcase": 0.4337, "IoU.blind": NaN, "IoU.coffee table": 0.5311, "IoU.toilet": 0.8175, "IoU.flower": 0.4357, "IoU.book": 0.4474, "IoU.hill": 0.1196, "IoU.bench": 0.5128, "IoU.countertop": 0.5461, "IoU.stove": 0.7059, "IoU.palm": 0.4931, "IoU.kitchen island": 0.3282, "IoU.computer": 0.5957, "IoU.swivel chair": 0.4347, "IoU.boat": 0.4065, "IoU.bar": 0.2921, "IoU.arcade machine": 0.6964, "IoU.hovel": 0.0984, "IoU.bus": 0.8071, "IoU.towel": 0.617, "IoU.light": 0.54, "IoU.truck": 0.1837, "IoU.tower": 0.063, "IoU.chandelier": 0.6474, "IoU.awning": 0.2891, "IoU.streetlight": 0.2018, "IoU.booth": 0.5296, "IoU.television receiver": NaN, "IoU.airplane": 0.5801, "IoU.dirt track": 0.1004, "IoU.apparel": 0.2877, "IoU.pole": 0.1747, "IoU.land": 0.0275, "IoU.bannister": 0.0911, "IoU.escalator": 0.3733, "IoU.ottoman": 0.4018, "IoU.bottle": NaN, "IoU.buffet": 0.3119, "IoU.poster": 0.2409, "IoU.stage": 0.2048, "IoU.van": 0.3879, "IoU.ship": 0.539, "IoU.fountain": 0.2966, "IoU.conveyer belt": 0.7194, "IoU.canopy": 0.2593, "IoU.washer": 0.6994, "IoU.plaything": 0.2134, "IoU.swimming pool": 0.6607, "IoU.stool": 0.3804, "IoU.barrel": 0.5361, "IoU.basket": 0.3206, "IoU.waterfall": 0.4621, "IoU.tent": 0.7719, "IoU.bag": 0.1839, "IoU.minibike": 0.7118, "IoU.cradle": NaN, "IoU.oven": 0.3517, "IoU.ball": 0.4201, "IoU.food": 0.5218, "IoU.step": 0.0787, "IoU.tank": 0.428, "IoU.trade name": 0.2264, "IoU.microwave": 0.7287, "IoU.pot": 0.5409, "IoU.animal": NaN, "IoU.bicycle": 0.5356, "IoU.lake": 0.5194, "IoU.dishwasher": 0.4895, "IoU.screen": 0.6766, "IoU.blanket": 0.1619, "IoU.sculpture": 0.656, "IoU.hood": 0.5703, "IoU.sconce": 0.4078, "IoU.vase": 0.3711, "IoU.traffic light": 0.2861, "IoU.tray": 0.0746, "IoU.ashcan": 0.3518, "IoU.fan": 0.5772, "IoU.pier": 0.4229, "IoU.crt screen": 0.0706, "IoU.plate": 0.5591, "IoU.monitor": 0.101, "IoU.bulletin board": 0.405, "IoU.shower": 0.0326, "IoU.radiator": 0.5409, "IoU.glass": 0.131, "IoU.clock": 0.4004, "IoU.flag": 0.5724, "Acc.wall": 0.8632, "Acc.building": 0.9375, "Acc.sky": 0.9743, "Acc.floor": 0.8943, "Acc.tree": 0.8527, "Acc.ceiling": 0.9095, "Acc.road": 0.9089, "Acc.bed ": 0.9536, "Acc.windowpane": 0.7626, "Acc.grass": 0.809, "Acc.cabinet": 0.7389, "Acc.sidewalk": 0.819, "Acc.person": 0.9168, "Acc.earth": 0.4841, "Acc.door": 0.5811, "Acc.table": 0.7485, "Acc.mountain": 0.6975, "Acc.plant": 0.6466, "Acc.curtain": 0.8273, "Acc.chair": 0.6708, "Acc.car": 0.89, "Acc.water": 0.6717, "Acc.painting": 0.8462, "Acc.sofa": 0.7768, "Acc.shelf": 0.5699, "Acc.house": 0.6177, "Acc.sea": 0.7014, "Acc.mirror": 0.6989, "Acc.rug": 0.7657, "Acc.field": 0.4414, "Acc.armchair": 0.5807, "Acc.seat": 0.831, "Acc.fence": 0.5367, "Acc.desk": 0.6513, "Acc.rock": 0.6953, "Acc.wardrobe": 0.6098, "Acc.lamp": 0.7319, "Acc.bathtub": 0.8128, "Acc.railing": 0.4603, "Acc.cushion": 0.6758, "Acc.base": 0.4712, "Acc.box": 0.3127, "Acc.column": 0.5399, "Acc.signboard": 0.5237, "Acc.chest of drawers": 0.5431, "Acc.counter": 0.4224, "Acc.sand": 0.7417, "Acc.sink": 0.7822, "Acc.skyscraper": 0.6011, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7513, "Acc.grandstand": 0.589, "Acc.path": 0.4017, "Acc.stairs": 0.3427, "Acc.runway": 0.8721, "Acc.case": 0.6225, "Acc.pool table": 0.9664, "Acc.pillow": 0.6776, "Acc.screen door": 0.7536, "Acc.stairway": 0.3803, "Acc.river": 0.2867, "Acc.bridge": 0.8243, "Acc.bookcase": 0.5525, "Acc.blind": NaN, "Acc.coffee table": 0.7777, "Acc.toilet": 0.8888, "Acc.flower": 0.6041, "Acc.book": 0.6612, "Acc.hill": 0.2243, "Acc.bench": 0.61, "Acc.countertop": 0.7559, "Acc.stove": 0.8378, "Acc.palm": 0.7326, "Acc.kitchen island": 0.6242, "Acc.computer": 0.7155, "Acc.swivel chair": 0.6633, "Acc.boat": 0.4814, "Acc.bar": 0.3619, "Acc.arcade machine": 0.7662, "Acc.hovel": 0.1298, "Acc.bus": 0.9588, "Acc.towel": 0.7741, "Acc.light": 0.6342, "Acc.truck": 0.2688, "Acc.tower": 0.0905, "Acc.chandelier": 0.8394, "Acc.awning": 0.3405, "Acc.streetlight": 0.2616, "Acc.booth": 0.6282, "Acc.television receiver": NaN, "Acc.airplane": 0.6542, "Acc.dirt track": 0.1778, "Acc.apparel": 0.4007, "Acc.pole": 0.2347, "Acc.land": 0.0373, "Acc.bannister": 0.1246, "Acc.escalator": 0.4853, "Acc.ottoman": 0.5797, "Acc.bottle": NaN, "Acc.buffet": 0.3536, "Acc.poster": 0.3362, "Acc.stage": 0.2653, "Acc.van": 0.5583, "Acc.ship": 0.9679, "Acc.fountain": 0.322, "Acc.conveyer belt": 0.8675, "Acc.canopy": 0.3599, "Acc.washer": 0.7421, "Acc.plaything": 0.3512, "Acc.swimming pool": 0.8048, "Acc.stool": 0.4876, "Acc.barrel": 0.6869, "Acc.basket": 0.4078, "Acc.waterfall": 0.5262, "Acc.tent": 0.9793, "Acc.bag": 0.2384, "Acc.minibike": 0.9007, "Acc.cradle": NaN, "Acc.oven": 0.4536, "Acc.ball": 0.4957, "Acc.food": 0.5864, "Acc.step": 0.093, "Acc.tank": 0.4993, "Acc.trade name": 0.2579, "Acc.microwave": 0.828, "Acc.pot": 0.6051, "Acc.animal": NaN, "Acc.bicycle": 0.7726, "Acc.lake": 0.5784, "Acc.dishwasher": 0.6048, "Acc.screen": 0.9251, "Acc.blanket": 0.19, "Acc.sculpture": 0.778, "Acc.hood": 0.7183, "Acc.sconce": 0.5046, "Acc.vase": 0.5252, "Acc.traffic light": 0.4483, "Acc.tray": 0.1447, "Acc.ashcan": 0.4586, "Acc.fan": 0.7542, "Acc.pier": 0.6723, "Acc.crt screen": 0.1811, "Acc.plate": 0.7249, "Acc.monitor": 0.1287, "Acc.bulletin board": 0.6324, "Acc.shower": 0.0463, "Acc.radiator": 0.6557, "Acc.glass": 0.1398, "Acc.clock": 0.4682, "Acc.flag": 0.6626} +{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 26851, "data_time": 1.97479, "decode.loss_seg": 0.20382, "decode.acc_seg": 72.90723, "aux.loss_seg": 0.10861, "aux.acc_seg": 71.13164, "loss": 0.31244, "time": 2.69373} +{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21356, "decode.acc_seg": 73.16929, "aux.loss_seg": 0.11448, "aux.acc_seg": 71.26993, "loss": 0.32804, "time": 0.73415} +{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.21064, "decode.acc_seg": 73.90697, "aux.loss_seg": 0.11152, "aux.acc_seg": 72.1225, "loss": 0.32216, "time": 0.73223} +{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 26851, "data_time": 0.00952, "decode.loss_seg": 0.2011, "decode.acc_seg": 73.85633, "aux.loss_seg": 0.10613, "aux.acc_seg": 72.11913, "loss": 0.30722, "time": 0.72873} +{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20554, "decode.acc_seg": 73.41112, "aux.loss_seg": 0.10828, "aux.acc_seg": 71.71578, "loss": 0.31382, "time": 0.72892} +{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.20133, "decode.acc_seg": 75.11922, "aux.loss_seg": 0.10742, "aux.acc_seg": 73.34163, "loss": 0.30874, "time": 0.73648} +{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.20046, "decode.acc_seg": 74.82039, "aux.loss_seg": 0.10712, "aux.acc_seg": 73.01144, "loss": 0.30758, "time": 0.73325} +{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.19091, "decode.acc_seg": 74.40922, "aux.loss_seg": 0.10207, "aux.acc_seg": 72.67887, "loss": 0.29298, "time": 0.73138} +{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 26851, "data_time": 0.24968, "decode.loss_seg": 0.19833, "decode.acc_seg": 74.35288, "aux.loss_seg": 0.10504, "aux.acc_seg": 72.62465, "loss": 0.30337, "time": 0.96901} +{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.19692, "decode.acc_seg": 73.70967, "aux.loss_seg": 0.10911, "aux.acc_seg": 71.71902, "loss": 0.30603, "time": 0.73561} +{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.20289, "decode.acc_seg": 72.89498, "aux.loss_seg": 0.11107, "aux.acc_seg": 71.04515, "loss": 0.31396, "time": 0.72892} +{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.20301, "decode.acc_seg": 74.56216, "aux.loss_seg": 0.10866, "aux.acc_seg": 72.68567, "loss": 0.31167, "time": 0.73002} +{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.1982, "decode.acc_seg": 74.94409, "aux.loss_seg": 0.10666, "aux.acc_seg": 73.17744, "loss": 0.30486, "time": 0.73233} +{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19417, "decode.acc_seg": 74.72624, "aux.loss_seg": 0.10608, "aux.acc_seg": 72.86795, "loss": 0.30025, "time": 0.73833} +{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.19919, "decode.acc_seg": 74.63015, "aux.loss_seg": 0.10796, "aux.acc_seg": 72.79002, "loss": 0.30715, "time": 0.73011} +{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19314, "decode.acc_seg": 74.21757, "aux.loss_seg": 0.10467, "aux.acc_seg": 72.39459, "loss": 0.29781, "time": 0.73019} +{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.19495, "decode.acc_seg": 73.1387, "aux.loss_seg": 0.10476, "aux.acc_seg": 71.39219, "loss": 0.29971, "time": 0.73346} +{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.19391, "decode.acc_seg": 76.4049, "aux.loss_seg": 0.10527, "aux.acc_seg": 74.58192, "loss": 0.29917, "time": 0.73467} +{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.19769, "decode.acc_seg": 75.1846, "aux.loss_seg": 0.10604, "aux.acc_seg": 73.41559, "loss": 0.30373, "time": 0.7318} +{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.20994, "decode.acc_seg": 74.02523, "aux.loss_seg": 0.11359, "aux.acc_seg": 71.98971, "loss": 0.32352, "time": 0.7365} +{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20888, "decode.acc_seg": 73.3459, "aux.loss_seg": 0.11091, "aux.acc_seg": 71.67251, "loss": 0.31979, "time": 0.73622} +{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.19127, "decode.acc_seg": 73.72496, "aux.loss_seg": 0.10208, "aux.acc_seg": 72.17403, "loss": 0.29336, "time": 0.73567} +{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.19311, "decode.acc_seg": 72.92594, "aux.loss_seg": 0.10479, "aux.acc_seg": 71.09052, "loss": 0.29789, "time": 0.72823} +{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.20292, "decode.acc_seg": 74.03442, "aux.loss_seg": 0.10874, "aux.acc_seg": 72.19214, "loss": 0.31166, "time": 0.72904} +{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.20819, "decode.acc_seg": 73.07825, "aux.loss_seg": 0.10981, "aux.acc_seg": 71.38922, "loss": 0.31801, "time": 0.73435} +{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19254, "decode.acc_seg": 75.00486, "aux.loss_seg": 0.10239, "aux.acc_seg": 73.28625, "loss": 0.29493, "time": 0.73455} +{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19725, "decode.acc_seg": 74.04898, "aux.loss_seg": 0.10568, "aux.acc_seg": 72.29506, "loss": 0.30293, "time": 0.73167} +{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.19575, "decode.acc_seg": 73.17246, "aux.loss_seg": 0.10329, "aux.acc_seg": 71.5586, "loss": 0.29904, "time": 0.73705} +{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.20847, "decode.acc_seg": 74.11201, "aux.loss_seg": 0.11257, "aux.acc_seg": 72.23688, "loss": 0.32104, "time": 0.73262} +{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.20791, "decode.acc_seg": 74.40045, "aux.loss_seg": 0.11026, "aux.acc_seg": 72.68119, "loss": 0.31817, "time": 0.73113} +{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.20306, "decode.acc_seg": 74.54833, "aux.loss_seg": 0.10794, "aux.acc_seg": 72.77409, "loss": 0.311, "time": 0.72907} +{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.20942, "decode.acc_seg": 73.37294, "aux.loss_seg": 0.11074, "aux.acc_seg": 71.65066, "loss": 0.32016, "time": 0.73337} +{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.20947, "decode.acc_seg": 72.60913, "aux.loss_seg": 0.11296, "aux.acc_seg": 70.69211, "loss": 0.32243, "time": 0.73177} +{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 26851, "data_time": 0.25473, "decode.loss_seg": 0.19081, "decode.acc_seg": 73.70906, "aux.loss_seg": 0.10135, "aux.acc_seg": 72.04789, "loss": 0.29216, "time": 0.97873} +{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.2006, "decode.acc_seg": 73.50272, "aux.loss_seg": 0.10686, "aux.acc_seg": 71.80884, "loss": 0.30747, "time": 0.74032} +{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.19519, "decode.acc_seg": 74.42046, "aux.loss_seg": 0.10543, "aux.acc_seg": 72.727, "loss": 0.30062, "time": 0.74003} +{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.20088, "decode.acc_seg": 74.46313, "aux.loss_seg": 0.10746, "aux.acc_seg": 72.6478, "loss": 0.30834, "time": 0.73216} +{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.20458, "decode.acc_seg": 73.39238, "aux.loss_seg": 0.11083, "aux.acc_seg": 71.50583, "loss": 0.3154, "time": 0.73274} +{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.19049, "decode.acc_seg": 74.13666, "aux.loss_seg": 0.10222, "aux.acc_seg": 72.39472, "loss": 0.29271, "time": 0.73277} +{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.7264, "aux.loss_seg": 0.10329, "aux.acc_seg": 72.12532, "loss": 0.2978, "time": 0.73336} +{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19323, "decode.acc_seg": 74.34107, "aux.loss_seg": 0.10434, "aux.acc_seg": 72.51873, "loss": 0.29756, "time": 0.7368} +{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.19411, "decode.acc_seg": 74.60305, "aux.loss_seg": 0.10489, "aux.acc_seg": 72.88652, "loss": 0.299, "time": 0.72671} +{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20475, "decode.acc_seg": 73.10481, "aux.loss_seg": 0.10921, "aux.acc_seg": 71.32765, "loss": 0.31396, "time": 0.72959} +{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.20537, "decode.acc_seg": 73.55943, "aux.loss_seg": 0.11108, "aux.acc_seg": 71.61253, "loss": 0.31645, "time": 0.7308} +{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20826, "decode.acc_seg": 74.02594, "aux.loss_seg": 0.11081, "aux.acc_seg": 72.20293, "loss": 0.31907, "time": 0.73564} +{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.20081, "decode.acc_seg": 74.37624, "aux.loss_seg": 0.10988, "aux.acc_seg": 72.38084, "loss": 0.31069, "time": 0.73286} +{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.19251, "decode.acc_seg": 74.1086, "aux.loss_seg": 0.10288, "aux.acc_seg": 72.36522, "loss": 0.2954, "time": 0.72932} +{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20599, "decode.acc_seg": 75.98201, "aux.loss_seg": 0.11186, "aux.acc_seg": 74.01202, "loss": 0.31784, "time": 0.72658} +{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.20662, "decode.acc_seg": 74.96235, "aux.loss_seg": 0.11106, "aux.acc_seg": 73.05807, "loss": 0.31768, "time": 0.72596} +{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.19895, "decode.acc_seg": 74.33289, "aux.loss_seg": 0.10569, "aux.acc_seg": 72.65941, "loss": 0.30463, "time": 0.73506} +{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.19635, "decode.acc_seg": 74.76596, "aux.loss_seg": 0.10631, "aux.acc_seg": 72.83033, "loss": 0.30266, "time": 0.73025} +{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.19775, "decode.acc_seg": 73.40316, "aux.loss_seg": 0.1048, "aux.acc_seg": 71.77245, "loss": 0.30255, "time": 0.73282} +{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.20344, "decode.acc_seg": 73.78117, "aux.loss_seg": 0.10751, "aux.acc_seg": 71.98109, "loss": 0.31095, "time": 0.73103} +{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.19215, "decode.acc_seg": 74.87645, "aux.loss_seg": 0.10381, "aux.acc_seg": 73.10209, "loss": 0.29596, "time": 0.7271} +{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.19484, "decode.acc_seg": 74.38593, "aux.loss_seg": 0.10573, "aux.acc_seg": 72.53488, "loss": 0.30057, "time": 0.72689} +{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20049, "decode.acc_seg": 74.18578, "aux.loss_seg": 0.10494, "aux.acc_seg": 72.49484, "loss": 0.30543, "time": 0.73201} +{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20956, "decode.acc_seg": 73.82272, "aux.loss_seg": 0.1105, "aux.acc_seg": 72.19578, "loss": 0.32006, "time": 0.73071} +{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 26851, "data_time": 0.00916, "decode.loss_seg": 0.19285, "decode.acc_seg": 74.95517, "aux.loss_seg": 0.10465, "aux.acc_seg": 73.13227, "loss": 0.29751, "time": 0.73257} +{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 26851, "data_time": 0.24854, "decode.loss_seg": 0.19525, "decode.acc_seg": 73.97657, "aux.loss_seg": 0.10459, "aux.acc_seg": 72.33465, "loss": 0.29985, "time": 0.97245} +{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19482, "decode.acc_seg": 73.66819, "aux.loss_seg": 0.10297, "aux.acc_seg": 72.02788, "loss": 0.29779, "time": 0.7288} +{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.20215, "decode.acc_seg": 74.1172, "aux.loss_seg": 0.11117, "aux.acc_seg": 72.03555, "loss": 0.31332, "time": 0.72744} +{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.19374, "decode.acc_seg": 74.76802, "aux.loss_seg": 0.10599, "aux.acc_seg": 72.81289, "loss": 0.29973, "time": 0.72571} +{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18638, "decode.acc_seg": 73.39691, "aux.loss_seg": 0.1022, "aux.acc_seg": 71.49083, "loss": 0.28858, "time": 0.73081} +{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19674, "decode.acc_seg": 74.34945, "aux.loss_seg": 0.10484, "aux.acc_seg": 72.61358, "loss": 0.30159, "time": 0.74072} +{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.19472, "decode.acc_seg": 75.00917, "aux.loss_seg": 0.10412, "aux.acc_seg": 73.27004, "loss": 0.29884, "time": 0.72498} +{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.19334, "decode.acc_seg": 75.11891, "aux.loss_seg": 0.10396, "aux.acc_seg": 73.2518, "loss": 0.2973, "time": 0.7361} +{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.1914, "decode.acc_seg": 74.23035, "aux.loss_seg": 0.10195, "aux.acc_seg": 72.59524, "loss": 0.29335, "time": 0.72696} +{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.19872, "decode.acc_seg": 73.74375, "aux.loss_seg": 0.10554, "aux.acc_seg": 72.06472, "loss": 0.30426, "time": 0.72777} +{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.20386, "decode.acc_seg": 74.74368, "aux.loss_seg": 0.10884, "aux.acc_seg": 72.87003, "loss": 0.3127, "time": 0.73008} +{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.20926, "decode.acc_seg": 73.59358, "aux.loss_seg": 0.11078, "aux.acc_seg": 71.89602, "loss": 0.32004, "time": 0.73122} +{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.20471, "decode.acc_seg": 74.73769, "aux.loss_seg": 0.1106, "aux.acc_seg": 72.85941, "loss": 0.3153, "time": 0.73444} +{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.18592, "decode.acc_seg": 75.0974, "aux.loss_seg": 0.10116, "aux.acc_seg": 73.32936, "loss": 0.28709, "time": 0.72797} +{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.19038, "decode.acc_seg": 74.85782, "aux.loss_seg": 0.10326, "aux.acc_seg": 73.02368, "loss": 0.29364, "time": 0.72666} +{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19816, "decode.acc_seg": 74.90361, "aux.loss_seg": 0.10468, "aux.acc_seg": 73.17644, "loss": 0.30284, "time": 0.73155} +{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.1958, "decode.acc_seg": 74.05251, "aux.loss_seg": 0.10724, "aux.acc_seg": 72.20202, "loss": 0.30304, "time": 0.72921} +{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.20315, "decode.acc_seg": 74.02119, "aux.loss_seg": 0.11153, "aux.acc_seg": 72.11705, "loss": 0.31468, "time": 0.73458} +{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.20638, "decode.acc_seg": 74.48773, "aux.loss_seg": 0.11271, "aux.acc_seg": 72.48317, "loss": 0.31909, "time": 0.72653} +{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19317, "decode.acc_seg": 74.45111, "aux.loss_seg": 0.1045, "aux.acc_seg": 72.70939, "loss": 0.29767, "time": 0.72263} +{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.19314, "decode.acc_seg": 74.96596, "aux.loss_seg": 0.10388, "aux.acc_seg": 73.16212, "loss": 0.29702, "time": 0.7257} +{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.20059, "decode.acc_seg": 73.22192, "aux.loss_seg": 0.10786, "aux.acc_seg": 71.47283, "loss": 0.30845, "time": 0.73367} +{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19645, "decode.acc_seg": 73.97838, "aux.loss_seg": 0.10482, "aux.acc_seg": 72.26112, "loss": 0.30127, "time": 0.73387} +{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.18363, "decode.acc_seg": 74.89601, "aux.loss_seg": 0.09692, "aux.acc_seg": 73.34191, "loss": 0.28055, "time": 0.72175} +{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.18329, "decode.acc_seg": 74.26632, "aux.loss_seg": 0.09801, "aux.acc_seg": 72.56444, "loss": 0.2813, "time": 0.73041} +{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 26851, "data_time": 0.24622, "decode.loss_seg": 0.18559, "decode.acc_seg": 73.06734, "aux.loss_seg": 0.09878, "aux.acc_seg": 71.51645, "loss": 0.28436, "time": 0.9634} +{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.19383, "decode.acc_seg": 72.00935, "aux.loss_seg": 0.10323, "aux.acc_seg": 70.30002, "loss": 0.29705, "time": 0.73276} +{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.18931, "decode.acc_seg": 73.5814, "aux.loss_seg": 0.10263, "aux.acc_seg": 71.71836, "loss": 0.29194, "time": 0.72846} +{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.19063, "decode.acc_seg": 74.08899, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.18943, "loss": 0.29472, "time": 0.73035} +{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.20484, "decode.acc_seg": 73.62788, "aux.loss_seg": 0.10883, "aux.acc_seg": 71.88758, "loss": 0.31368, "time": 0.73182} +{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.21457, "decode.acc_seg": 75.21761, "aux.loss_seg": 0.11179, "aux.acc_seg": 73.46345, "loss": 0.32636, "time": 0.72463} +{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.20812, "decode.acc_seg": 73.90846, "aux.loss_seg": 0.10957, "aux.acc_seg": 72.2079, "loss": 0.3177, "time": 0.72511} +{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.19734, "decode.acc_seg": 74.94834, "aux.loss_seg": 0.10797, "aux.acc_seg": 73.09517, "loss": 0.30531, "time": 0.72754} +{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.18873, "decode.acc_seg": 76.12709, "aux.loss_seg": 0.10214, "aux.acc_seg": 74.37289, "loss": 0.29087, "time": 0.73658} +{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.19889, "decode.acc_seg": 74.35766, "aux.loss_seg": 0.10737, "aux.acc_seg": 72.56152, "loss": 0.30626, "time": 0.73352} +{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.18486, "decode.acc_seg": 75.31855, "aux.loss_seg": 0.10117, "aux.acc_seg": 73.44323, "loss": 0.28604, "time": 0.72302} +{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.18408, "decode.acc_seg": 74.89623, "aux.loss_seg": 0.10133, "aux.acc_seg": 73.14396, "loss": 0.28541, "time": 0.73619} +{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.20492, "decode.acc_seg": 74.25757, "aux.loss_seg": 0.10741, "aux.acc_seg": 72.59782, "loss": 0.31233, "time": 0.7316} +{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19351, "decode.acc_seg": 73.69802, "aux.loss_seg": 0.10375, "aux.acc_seg": 71.97284, "loss": 0.29726, "time": 0.72986} +{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.20042, "decode.acc_seg": 74.5022, "aux.loss_seg": 0.10879, "aux.acc_seg": 72.65391, "loss": 0.30922, "time": 0.72772} +{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19582, "decode.acc_seg": 74.32906, "aux.loss_seg": 0.10676, "aux.acc_seg": 72.45843, "loss": 0.30258, "time": 0.72253} +{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.2068, "decode.acc_seg": 76.02577, "aux.loss_seg": 0.11425, "aux.acc_seg": 73.9597, "loss": 0.32105, "time": 0.72508} +{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.19988, "decode.acc_seg": 73.62508, "aux.loss_seg": 0.10843, "aux.acc_seg": 71.77518, "loss": 0.3083, "time": 0.73512} +{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.18745, "decode.acc_seg": 73.25471, "aux.loss_seg": 0.10184, "aux.acc_seg": 71.45755, "loss": 0.28929, "time": 0.73007} +{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.19669, "decode.acc_seg": 74.1583, "aux.loss_seg": 0.10835, "aux.acc_seg": 72.31924, "loss": 0.30504, "time": 0.72905} +{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.18493, "decode.acc_seg": 72.98957, "aux.loss_seg": 0.09953, "aux.acc_seg": 71.22046, "loss": 0.28446, "time": 0.72481} +{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.1879, "decode.acc_seg": 74.06374, "aux.loss_seg": 0.10028, "aux.acc_seg": 72.41239, "loss": 0.28818, "time": 0.73376} +{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19586, "decode.acc_seg": 74.8314, "aux.loss_seg": 0.1037, "aux.acc_seg": 73.19825, "loss": 0.29956, "time": 0.72727} +{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.19029, "decode.acc_seg": 74.90155, "aux.loss_seg": 0.10072, "aux.acc_seg": 73.26109, "loss": 0.29101, "time": 0.72857} +{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18986, "decode.acc_seg": 74.16727, "aux.loss_seg": 0.10079, "aux.acc_seg": 72.58775, "loss": 0.29065, "time": 0.72759} +{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.20782, "decode.acc_seg": 74.40025, "aux.loss_seg": 0.11234, "aux.acc_seg": 72.52486, "loss": 0.32016, "time": 0.72539} +{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 26851, "data_time": 0.25053, "decode.loss_seg": 0.1955, "decode.acc_seg": 73.09625, "aux.loss_seg": 0.10426, "aux.acc_seg": 71.30909, "loss": 0.29976, "time": 0.97467} +{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.18257, "decode.acc_seg": 74.711, "aux.loss_seg": 0.09961, "aux.acc_seg": 72.95957, "loss": 0.28218, "time": 0.73027} +{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.19407, "decode.acc_seg": 73.89597, "aux.loss_seg": 0.10398, "aux.acc_seg": 72.19887, "loss": 0.29806, "time": 0.72905} +{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19953, "decode.acc_seg": 74.5214, "aux.loss_seg": 0.10769, "aux.acc_seg": 72.56296, "loss": 0.30721, "time": 0.73371} +{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.19524, "decode.acc_seg": 75.19714, "aux.loss_seg": 0.10558, "aux.acc_seg": 73.31948, "loss": 0.30082, "time": 0.73131} +{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19967, "decode.acc_seg": 74.46519, "aux.loss_seg": 0.10513, "aux.acc_seg": 72.79215, "loss": 0.30479, "time": 0.72436} +{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.21175, "decode.acc_seg": 73.20778, "aux.loss_seg": 0.11161, "aux.acc_seg": 71.45297, "loss": 0.32336, "time": 0.73652} +{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.2053, "decode.acc_seg": 73.75656, "aux.loss_seg": 0.11112, "aux.acc_seg": 72.01378, "loss": 0.31642, "time": 0.72705} +{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.19326, "decode.acc_seg": 75.11332, "aux.loss_seg": 0.10488, "aux.acc_seg": 73.33845, "loss": 0.29814, "time": 0.73626} +{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.19497, "decode.acc_seg": 74.46662, "aux.loss_seg": 0.10568, "aux.acc_seg": 72.57741, "loss": 0.30065, "time": 0.72991} +{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.19398, "decode.acc_seg": 73.67474, "aux.loss_seg": 0.10492, "aux.acc_seg": 71.91747, "loss": 0.29889, "time": 0.72895} +{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.19921, "decode.acc_seg": 73.28004, "aux.loss_seg": 0.10519, "aux.acc_seg": 71.62737, "loss": 0.3044, "time": 0.72487} +{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19836, "decode.acc_seg": 74.28194, "aux.loss_seg": 0.10557, "aux.acc_seg": 72.63096, "loss": 0.30394, "time": 0.72409} +{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.19142, "decode.acc_seg": 73.76592, "aux.loss_seg": 0.10319, "aux.acc_seg": 72.04078, "loss": 0.29461, "time": 0.72588} +{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.2046, "decode.acc_seg": 75.10468, "aux.loss_seg": 0.11051, "aux.acc_seg": 73.34777, "loss": 0.31511, "time": 0.73676} +{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.19622, "decode.acc_seg": 74.83847, "aux.loss_seg": 0.1061, "aux.acc_seg": 72.95986, "loss": 0.30232, "time": 0.72656} +{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.18535, "decode.acc_seg": 73.81623, "aux.loss_seg": 0.09958, "aux.acc_seg": 72.09322, "loss": 0.28493, "time": 0.72867} +{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.18596, "decode.acc_seg": 74.51309, "aux.loss_seg": 0.09944, "aux.acc_seg": 72.78199, "loss": 0.28541, "time": 0.72982} +{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.18867, "decode.acc_seg": 74.05695, "aux.loss_seg": 0.103, "aux.acc_seg": 72.23434, "loss": 0.29166, "time": 0.74055} +{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.19429, "decode.acc_seg": 74.82375, "aux.loss_seg": 0.10257, "aux.acc_seg": 73.14317, "loss": 0.29686, "time": 0.72616} +{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.18734, "decode.acc_seg": 75.47361, "aux.loss_seg": 0.10111, "aux.acc_seg": 73.72438, "loss": 0.28845, "time": 0.72142} +{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18777, "decode.acc_seg": 74.57463, "aux.loss_seg": 0.10069, "aux.acc_seg": 72.96545, "loss": 0.28846, "time": 0.73678} +{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.18756, "decode.acc_seg": 73.90986, "aux.loss_seg": 0.10282, "aux.acc_seg": 71.95238, "loss": 0.29037, "time": 0.73457} +{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18947, "decode.acc_seg": 73.24526, "aux.loss_seg": 0.10318, "aux.acc_seg": 71.43818, "loss": 0.29265, "time": 0.72856} +{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.18916, "decode.acc_seg": 75.03781, "aux.loss_seg": 0.10353, "aux.acc_seg": 73.17024, "loss": 0.29269, "time": 0.728} +{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 26851, "data_time": 0.24504, "decode.loss_seg": 0.19549, "decode.acc_seg": 74.51987, "aux.loss_seg": 0.10441, "aux.acc_seg": 72.82102, "loss": 0.2999, "time": 0.96622} +{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19752, "decode.acc_seg": 75.1171, "aux.loss_seg": 0.10853, "aux.acc_seg": 73.11904, "loss": 0.30605, "time": 0.72662} +{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.19417, "decode.acc_seg": 73.54401, "aux.loss_seg": 0.10569, "aux.acc_seg": 71.73322, "loss": 0.29986, "time": 0.72643} +{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19098, "decode.acc_seg": 74.77354, "aux.loss_seg": 0.10328, "aux.acc_seg": 72.95574, "loss": 0.29426, "time": 0.72815} +{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.18451, "decode.acc_seg": 73.97361, "aux.loss_seg": 0.09994, "aux.acc_seg": 72.27343, "loss": 0.28444, "time": 0.73533} +{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.18739, "decode.acc_seg": 74.5943, "aux.loss_seg": 0.10259, "aux.acc_seg": 72.64434, "loss": 0.28997, "time": 0.7306} +{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.19309, "decode.acc_seg": 73.77305, "aux.loss_seg": 0.10534, "aux.acc_seg": 71.95897, "loss": 0.29843, "time": 0.72787} +{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.18436, "decode.acc_seg": 74.21191, "aux.loss_seg": 0.10027, "aux.acc_seg": 72.40293, "loss": 0.28463, "time": 0.73481} +{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.19727, "decode.acc_seg": 74.0643, "aux.loss_seg": 0.10675, "aux.acc_seg": 72.28189, "loss": 0.30402, "time": 0.73003} +{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.1953, "decode.acc_seg": 74.37206, "aux.loss_seg": 0.10498, "aux.acc_seg": 72.68871, "loss": 0.30028, "time": 0.72616} +{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19201, "decode.acc_seg": 74.95815, "aux.loss_seg": 0.10314, "aux.acc_seg": 73.19651, "loss": 0.29515, "time": 0.73063} +{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18895, "decode.acc_seg": 74.68817, "aux.loss_seg": 0.10238, "aux.acc_seg": 72.91163, "loss": 0.29132, "time": 0.72783} +{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.20016, "decode.acc_seg": 74.67586, "aux.loss_seg": 0.10658, "aux.acc_seg": 73.06064, "loss": 0.30673, "time": 0.7283} +{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.19835, "decode.acc_seg": 75.06136, "aux.loss_seg": 0.10658, "aux.acc_seg": 73.28478, "loss": 0.30493, "time": 0.7313} +{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.19369, "decode.acc_seg": 75.0163, "aux.loss_seg": 0.10394, "aux.acc_seg": 73.21119, "loss": 0.29762, "time": 0.7229} +{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.19347, "decode.acc_seg": 74.07829, "aux.loss_seg": 0.10606, "aux.acc_seg": 72.16652, "loss": 0.29953, "time": 0.72468} +{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.1953, "decode.acc_seg": 73.29953, "aux.loss_seg": 0.10571, "aux.acc_seg": 71.49086, "loss": 0.30101, "time": 0.73157} +{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.20124, "decode.acc_seg": 75.72066, "aux.loss_seg": 0.10795, "aux.acc_seg": 74.06368, "loss": 0.30919, "time": 0.73524} +{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.20161, "decode.acc_seg": 73.99086, "aux.loss_seg": 0.10864, "aux.acc_seg": 71.9816, "loss": 0.31024, "time": 0.73128} +{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18738, "decode.acc_seg": 74.51892, "aux.loss_seg": 0.10235, "aux.acc_seg": 72.77092, "loss": 0.28974, "time": 0.73178} +{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.18993, "decode.acc_seg": 73.10441, "aux.loss_seg": 0.10155, "aux.acc_seg": 71.41618, "loss": 0.29148, "time": 0.73395} +{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19334, "decode.acc_seg": 73.89799, "aux.loss_seg": 0.10412, "aux.acc_seg": 72.1556, "loss": 0.29746, "time": 0.72652} +{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.19612, "decode.acc_seg": 73.0015, "aux.loss_seg": 0.10459, "aux.acc_seg": 71.23192, "loss": 0.30071, "time": 0.73718} +{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18622, "decode.acc_seg": 74.58046, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.92076, "loss": 0.28629, "time": 0.73086} +{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.1886, "decode.acc_seg": 75.03951, "aux.loss_seg": 0.10141, "aux.acc_seg": 73.30236, "loss": 0.29001, "time": 0.73178} +{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 26851, "data_time": 0.25592, "decode.loss_seg": 0.19499, "decode.acc_seg": 75.26061, "aux.loss_seg": 0.10698, "aux.acc_seg": 73.4377, "loss": 0.30198, "time": 0.97913} +{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19754, "decode.acc_seg": 74.73042, "aux.loss_seg": 0.10966, "aux.acc_seg": 72.65128, "loss": 0.3072, "time": 0.72624} +{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.19385, "decode.acc_seg": 74.67322, "aux.loss_seg": 0.10603, "aux.acc_seg": 72.76132, "loss": 0.29989, "time": 0.73195} +{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18442, "decode.acc_seg": 74.86265, "aux.loss_seg": 0.09885, "aux.acc_seg": 73.12123, "loss": 0.28326, "time": 0.72955} +{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19283, "decode.acc_seg": 74.99878, "aux.loss_seg": 0.10192, "aux.acc_seg": 73.29086, "loss": 0.29475, "time": 0.7294} +{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.19746, "decode.acc_seg": 73.82921, "aux.loss_seg": 0.10894, "aux.acc_seg": 71.8283, "loss": 0.3064, "time": 0.73445} +{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.19702, "decode.acc_seg": 73.72951, "aux.loss_seg": 0.10653, "aux.acc_seg": 71.92478, "loss": 0.30355, "time": 0.73522} +{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.19603, "decode.acc_seg": 74.72769, "aux.loss_seg": 0.10451, "aux.acc_seg": 72.92012, "loss": 0.30055, "time": 0.73313} +{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.1868, "decode.acc_seg": 75.12096, "aux.loss_seg": 0.1033, "aux.acc_seg": 73.2226, "loss": 0.2901, "time": 0.72787} +{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.19444, "decode.acc_seg": 74.1168, "aux.loss_seg": 0.10495, "aux.acc_seg": 72.28143, "loss": 0.29939, "time": 0.72683} +{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.19026, "decode.acc_seg": 74.36028, "aux.loss_seg": 0.10108, "aux.acc_seg": 72.70636, "loss": 0.29134, "time": 0.73979} +{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19222, "decode.acc_seg": 73.918, "aux.loss_seg": 0.10574, "aux.acc_seg": 72.03695, "loss": 0.29796, "time": 0.73137} +{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17819, "decode.acc_seg": 73.00448, "aux.loss_seg": 0.09699, "aux.acc_seg": 71.33731, "loss": 0.27517, "time": 0.73123} +{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19008, "decode.acc_seg": 74.1168, "aux.loss_seg": 0.10521, "aux.acc_seg": 72.15369, "loss": 0.29529, "time": 0.72787} +{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.18684, "decode.acc_seg": 74.12729, "aux.loss_seg": 0.10091, "aux.acc_seg": 72.34806, "loss": 0.28775, "time": 0.73743} +{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.18529, "decode.acc_seg": 75.22479, "aux.loss_seg": 0.10054, "aux.acc_seg": 73.41715, "loss": 0.28583, "time": 0.73415} +{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.19388, "decode.acc_seg": 73.80179, "aux.loss_seg": 0.10307, "aux.acc_seg": 72.09088, "loss": 0.29696, "time": 0.73558} +{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.18573, "decode.acc_seg": 75.47577, "aux.loss_seg": 0.10081, "aux.acc_seg": 73.74525, "loss": 0.28654, "time": 0.72953} +{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.19433, "decode.acc_seg": 74.93151, "aux.loss_seg": 0.10496, "aux.acc_seg": 73.13693, "loss": 0.29929, "time": 0.72693} +{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.19265, "decode.acc_seg": 74.59941, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.59054, "loss": 0.29854, "time": 0.72704} +{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.19162, "decode.acc_seg": 73.9721, "aux.loss_seg": 0.10406, "aux.acc_seg": 72.11544, "loss": 0.29569, "time": 0.73198} +{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.19286, "decode.acc_seg": 75.14291, "aux.loss_seg": 0.10351, "aux.acc_seg": 73.35263, "loss": 0.29637, "time": 0.72713} +{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.1944, "decode.acc_seg": 74.65224, "aux.loss_seg": 0.10404, "aux.acc_seg": 72.92656, "loss": 0.29844, "time": 0.72746} +{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.1941, "decode.acc_seg": 74.61729, "aux.loss_seg": 0.10377, "aux.acc_seg": 72.87149, "loss": 0.29788, "time": 0.72889} +{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18886, "decode.acc_seg": 73.96693, "aux.loss_seg": 0.10275, "aux.acc_seg": 72.12386, "loss": 0.29161, "time": 0.73103} +{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 26851, "data_time": 0.24495, "decode.loss_seg": 0.1883, "decode.acc_seg": 74.63604, "aux.loss_seg": 0.09973, "aux.acc_seg": 73.0414, "loss": 0.28803, "time": 0.97016} +{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.19262, "decode.acc_seg": 73.50254, "aux.loss_seg": 0.10516, "aux.acc_seg": 71.63903, "loss": 0.29778, "time": 0.72412} +{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 26851, "data_time": 0.00742, "decode.loss_seg": 0.19244, "decode.acc_seg": 74.10176, "aux.loss_seg": 0.10312, "aux.acc_seg": 72.37248, "loss": 0.29556, "time": 0.73257} +{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.18906, "decode.acc_seg": 74.44255, "aux.loss_seg": 0.101, "aux.acc_seg": 72.81264, "loss": 0.29006, "time": 0.72372} +{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.19041, "decode.acc_seg": 73.06386, "aux.loss_seg": 0.10256, "aux.acc_seg": 71.34933, "loss": 0.29297, "time": 0.73055} +{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.19234, "decode.acc_seg": 75.37392, "aux.loss_seg": 0.10257, "aux.acc_seg": 73.68373, "loss": 0.29491, "time": 0.73175} +{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.19153, "decode.acc_seg": 74.35758, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.41661, "loss": 0.29747, "time": 0.72554} +{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.18295, "decode.acc_seg": 74.59897, "aux.loss_seg": 0.0998, "aux.acc_seg": 72.81815, "loss": 0.28275, "time": 0.72573} +{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.18295, "decode.acc_seg": 74.34196, "aux.loss_seg": 0.10056, "aux.acc_seg": 72.42309, "loss": 0.28351, "time": 0.7299} +{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.19025, "decode.acc_seg": 74.22062, "aux.loss_seg": 0.10323, "aux.acc_seg": 72.50285, "loss": 0.29349, "time": 0.73818} +{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.1994, "decode.acc_seg": 74.63785, "aux.loss_seg": 0.1077, "aux.acc_seg": 72.8361, "loss": 0.3071, "time": 0.7272} +{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.18155, "decode.acc_seg": 74.65976, "aux.loss_seg": 0.09828, "aux.acc_seg": 72.99921, "loss": 0.27983, "time": 0.72912} +{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19415, "decode.acc_seg": 73.57282, "aux.loss_seg": 0.10532, "aux.acc_seg": 71.73215, "loss": 0.29947, "time": 0.72375} +{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.18186, "decode.acc_seg": 74.12831, "aux.loss_seg": 0.10214, "aux.acc_seg": 72.12396, "loss": 0.284, "time": 0.721} +{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.17707, "decode.acc_seg": 74.57455, "aux.loss_seg": 0.09606, "aux.acc_seg": 72.86724, "loss": 0.27313, "time": 0.72466} +{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18968, "decode.acc_seg": 74.6966, "aux.loss_seg": 0.10272, "aux.acc_seg": 72.96978, "loss": 0.2924, "time": 0.72779} +{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.19235, "decode.acc_seg": 75.02849, "aux.loss_seg": 0.10343, "aux.acc_seg": 73.24743, "loss": 0.29578, "time": 0.73443} +{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17963, "decode.acc_seg": 72.54821, "aux.loss_seg": 0.09574, "aux.acc_seg": 70.95578, "loss": 0.27537, "time": 0.72505} +{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.19223, "decode.acc_seg": 73.71222, "aux.loss_seg": 0.10369, "aux.acc_seg": 71.93906, "loss": 0.29592, "time": 0.72626} +{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.18789, "decode.acc_seg": 74.8968, "aux.loss_seg": 0.10291, "aux.acc_seg": 73.01846, "loss": 0.2908, "time": 0.72934} +{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.19739, "decode.acc_seg": 75.33634, "aux.loss_seg": 0.10572, "aux.acc_seg": 73.52938, "loss": 0.30311, "time": 0.72879} +{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.18713, "decode.acc_seg": 72.6541, "aux.loss_seg": 0.09862, "aux.acc_seg": 71.11773, "loss": 0.28575, "time": 0.72708} +{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.19105, "decode.acc_seg": 75.6669, "aux.loss_seg": 0.10003, "aux.acc_seg": 74.10194, "loss": 0.29108, "time": 0.7247} +{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17867, "decode.acc_seg": 75.21731, "aux.loss_seg": 0.09705, "aux.acc_seg": 73.50062, "loss": 0.27572, "time": 0.72685} +{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.18416, "decode.acc_seg": 73.9713, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.29873, "loss": 0.2837, "time": 0.73373} +{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.18982, "decode.acc_seg": 75.54912, "aux.loss_seg": 0.1044, "aux.acc_seg": 73.73867, "loss": 0.29422, "time": 0.72574} +{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 26851, "data_time": 0.24821, "decode.loss_seg": 0.20174, "decode.acc_seg": 73.1545, "aux.loss_seg": 0.11107, "aux.acc_seg": 71.29344, "loss": 0.31282, "time": 0.97277} +{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.18881, "decode.acc_seg": 75.29201, "aux.loss_seg": 0.10181, "aux.acc_seg": 73.57087, "loss": 0.29062, "time": 0.72944} +{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.18518, "decode.acc_seg": 74.8722, "aux.loss_seg": 0.1015, "aux.acc_seg": 72.99136, "loss": 0.28668, "time": 0.73099} +{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.19005, "decode.acc_seg": 74.29449, "aux.loss_seg": 0.10104, "aux.acc_seg": 72.63297, "loss": 0.29109, "time": 0.73229} +{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.18631, "decode.acc_seg": 73.85742, "aux.loss_seg": 0.1004, "aux.acc_seg": 72.1497, "loss": 0.28671, "time": 0.73035} +{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.19177, "decode.acc_seg": 74.61355, "aux.loss_seg": 0.10311, "aux.acc_seg": 72.73635, "loss": 0.29488, "time": 0.72834} +{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.18723, "decode.acc_seg": 74.55836, "aux.loss_seg": 0.10176, "aux.acc_seg": 72.79324, "loss": 0.28899, "time": 0.73065} +{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.18475, "decode.acc_seg": 74.35861, "aux.loss_seg": 0.10036, "aux.acc_seg": 72.59137, "loss": 0.28511, "time": 0.7352} +{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.18047, "decode.acc_seg": 74.38497, "aux.loss_seg": 0.0984, "aux.acc_seg": 72.5743, "loss": 0.27887, "time": 0.73638} +{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.17937, "decode.acc_seg": 73.5127, "aux.loss_seg": 0.0965, "aux.acc_seg": 71.84427, "loss": 0.27587, "time": 0.72836} +{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.18713, "decode.acc_seg": 74.21645, "aux.loss_seg": 0.10229, "aux.acc_seg": 72.41629, "loss": 0.28942, "time": 0.72395} +{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.20361, "decode.acc_seg": 74.77109, "aux.loss_seg": 0.10905, "aux.acc_seg": 72.94245, "loss": 0.31266, "time": 0.7302} +{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.19468, "decode.acc_seg": 74.76133, "aux.loss_seg": 0.10383, "aux.acc_seg": 73.02921, "loss": 0.29851, "time": 0.73266} +{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.18827, "decode.acc_seg": 75.44645, "aux.loss_seg": 0.10151, "aux.acc_seg": 73.75219, "loss": 0.28978, "time": 0.73328} +{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.19194, "decode.acc_seg": 74.42072, "aux.loss_seg": 0.10168, "aux.acc_seg": 72.67684, "loss": 0.29362, "time": 0.74089} +{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 26851, "data_time": 0.00944, "decode.loss_seg": 0.19562, "decode.acc_seg": 74.61901, "aux.loss_seg": 0.10535, "aux.acc_seg": 72.69654, "loss": 0.30097, "time": 0.73315} +{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.19881, "decode.acc_seg": 73.55967, "aux.loss_seg": 0.10691, "aux.acc_seg": 71.66573, "loss": 0.30572, "time": 0.72614} +{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.17813, "decode.acc_seg": 74.14605, "aux.loss_seg": 0.09682, "aux.acc_seg": 72.46955, "loss": 0.27495, "time": 0.73104} +{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.19554, "decode.acc_seg": 73.27402, "aux.loss_seg": 0.10683, "aux.acc_seg": 71.47585, "loss": 0.30237, "time": 0.73638} +{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.18939, "decode.acc_seg": 74.4766, "aux.loss_seg": 0.10432, "aux.acc_seg": 72.53441, "loss": 0.29371, "time": 0.74066} +{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.17817, "decode.acc_seg": 74.44342, "aux.loss_seg": 0.09697, "aux.acc_seg": 72.64316, "loss": 0.27514, "time": 0.73083} +{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.18622, "decode.acc_seg": 73.74439, "aux.loss_seg": 0.10101, "aux.acc_seg": 71.99655, "loss": 0.28723, "time": 0.72748} +{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.19286, "decode.acc_seg": 73.37855, "aux.loss_seg": 0.10438, "aux.acc_seg": 71.44968, "loss": 0.29724, "time": 0.72844} +{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 26851, "data_time": 0.00916, "decode.loss_seg": 0.19843, "decode.acc_seg": 74.70066, "aux.loss_seg": 0.10691, "aux.acc_seg": 72.90662, "loss": 0.30535, "time": 0.73319} +{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.19506, "decode.acc_seg": 73.78679, "aux.loss_seg": 0.10357, "aux.acc_seg": 72.04443, "loss": 0.29863, "time": 0.73404} +{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 26851, "data_time": 0.24438, "decode.loss_seg": 0.20318, "decode.acc_seg": 74.27427, "aux.loss_seg": 0.10939, "aux.acc_seg": 72.49116, "loss": 0.31257, "time": 0.96623} +{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.1859, "decode.acc_seg": 74.23323, "aux.loss_seg": 0.10108, "aux.acc_seg": 72.5372, "loss": 0.28698, "time": 0.73195} +{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.18041, "decode.acc_seg": 74.55308, "aux.loss_seg": 0.10058, "aux.acc_seg": 72.57886, "loss": 0.28099, "time": 0.73073} +{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.18278, "decode.acc_seg": 75.17635, "aux.loss_seg": 0.09778, "aux.acc_seg": 73.49443, "loss": 0.28056, "time": 0.72685} +{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.18528, "decode.acc_seg": 75.06112, "aux.loss_seg": 0.09944, "aux.acc_seg": 73.35979, "loss": 0.28471, "time": 0.72981} +{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.19178, "decode.acc_seg": 73.11819, "aux.loss_seg": 0.10319, "aux.acc_seg": 71.36404, "loss": 0.29498, "time": 0.73607} +{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.19096, "decode.acc_seg": 74.59048, "aux.loss_seg": 0.10148, "aux.acc_seg": 72.98467, "loss": 0.29245, "time": 0.72515} +{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.18972, "decode.acc_seg": 73.96146, "aux.loss_seg": 0.10464, "aux.acc_seg": 72.10383, "loss": 0.29436, "time": 0.73053} +{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18704, "decode.acc_seg": 73.6877, "aux.loss_seg": 0.10134, "aux.acc_seg": 72.03143, "loss": 0.28838, "time": 0.73858} +{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.19259, "decode.acc_seg": 74.72315, "aux.loss_seg": 0.10364, "aux.acc_seg": 73.0111, "loss": 0.29623, "time": 0.73158} +{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.19396, "decode.acc_seg": 75.28664, "aux.loss_seg": 0.10484, "aux.acc_seg": 73.53688, "loss": 0.2988, "time": 0.728} +{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.19578, "decode.acc_seg": 73.11093, "aux.loss_seg": 0.1061, "aux.acc_seg": 71.20415, "loss": 0.30188, "time": 0.73184} +{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.18762, "decode.acc_seg": 75.11861, "aux.loss_seg": 0.1006, "aux.acc_seg": 73.37212, "loss": 0.28822, "time": 0.73108} +{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.18542, "decode.acc_seg": 74.44436, "aux.loss_seg": 0.09982, "aux.acc_seg": 72.68838, "loss": 0.28525, "time": 0.73813} +{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.18525, "decode.acc_seg": 73.86564, "aux.loss_seg": 0.10022, "aux.acc_seg": 72.03356, "loss": 0.28547, "time": 0.73196} +{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.18407, "decode.acc_seg": 73.44007, "aux.loss_seg": 0.10022, "aux.acc_seg": 71.67941, "loss": 0.2843, "time": 0.72601} +{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.1932, "decode.acc_seg": 74.55779, "aux.loss_seg": 0.10417, "aux.acc_seg": 72.82543, "loss": 0.29737, "time": 0.73624} +{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17636, "decode.acc_seg": 74.20321, "aux.loss_seg": 0.09615, "aux.acc_seg": 72.48483, "loss": 0.27251, "time": 0.72976} +{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.18025, "decode.acc_seg": 74.89871, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.11902, "loss": 0.27887, "time": 0.73221} +{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.19584, "decode.acc_seg": 76.16259, "aux.loss_seg": 0.10768, "aux.acc_seg": 74.22134, "loss": 0.30352, "time": 0.72864} +{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.17911, "decode.acc_seg": 72.12537, "aux.loss_seg": 0.09734, "aux.acc_seg": 70.42095, "loss": 0.27645, "time": 0.7314} +{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.1912, "decode.acc_seg": 73.51222, "aux.loss_seg": 0.10311, "aux.acc_seg": 71.90538, "loss": 0.29431, "time": 0.72443} +{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19153, "decode.acc_seg": 73.01802, "aux.loss_seg": 0.10337, "aux.acc_seg": 71.37569, "loss": 0.29491, "time": 0.72545} +{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.18661, "decode.acc_seg": 75.63494, "aux.loss_seg": 0.10343, "aux.acc_seg": 73.75042, "loss": 0.29003, "time": 0.72608} +{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.18809, "decode.acc_seg": 75.00108, "aux.loss_seg": 0.10224, "aux.acc_seg": 73.11911, "loss": 0.29033, "time": 0.7293} +{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 26851, "data_time": 0.24696, "decode.loss_seg": 0.188, "decode.acc_seg": 74.26224, "aux.loss_seg": 0.1038, "aux.acc_seg": 72.37478, "loss": 0.2918, "time": 0.96752} +{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18727, "decode.acc_seg": 76.00995, "aux.loss_seg": 0.10296, "aux.acc_seg": 74.14732, "loss": 0.29023, "time": 0.73199} +{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.18745, "decode.acc_seg": 73.98133, "aux.loss_seg": 0.10193, "aux.acc_seg": 72.1239, "loss": 0.28938, "time": 0.73038} +{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.17245, "decode.acc_seg": 73.99894, "aux.loss_seg": 0.09322, "aux.acc_seg": 72.37148, "loss": 0.26567, "time": 0.73191} +{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19135, "decode.acc_seg": 75.36163, "aux.loss_seg": 0.104, "aux.acc_seg": 73.62533, "loss": 0.29535, "time": 0.7312} +{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.19178, "decode.acc_seg": 74.95046, "aux.loss_seg": 0.10338, "aux.acc_seg": 73.14939, "loss": 0.29517, "time": 0.72511} +{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18944, "decode.acc_seg": 74.21551, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.29396, "loss": 0.29353, "time": 0.72821} +{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19009, "decode.acc_seg": 73.95773, "aux.loss_seg": 0.10421, "aux.acc_seg": 72.10858, "loss": 0.2943, "time": 0.733} +{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.1959, "decode.acc_seg": 74.25545, "aux.loss_seg": 0.1061, "aux.acc_seg": 72.48863, "loss": 0.302, "time": 0.73365} +{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.18827, "decode.acc_seg": 75.48951, "aux.loss_seg": 0.10321, "aux.acc_seg": 73.57913, "loss": 0.29147, "time": 0.7259} +{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.17734, "decode.acc_seg": 74.5118, "aux.loss_seg": 0.09823, "aux.acc_seg": 72.72027, "loss": 0.27556, "time": 0.72301} +{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18714, "decode.acc_seg": 73.27171, "aux.loss_seg": 0.10299, "aux.acc_seg": 71.42871, "loss": 0.29014, "time": 0.72482} +{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18291, "decode.acc_seg": 73.8372, "aux.loss_seg": 0.09842, "aux.acc_seg": 72.17033, "loss": 0.28132, "time": 0.72966} +{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.17337, "decode.acc_seg": 76.31377, "aux.loss_seg": 0.09504, "aux.acc_seg": 74.59899, "loss": 0.26842, "time": 0.72689} +{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.18012, "decode.acc_seg": 74.08712, "aux.loss_seg": 0.09678, "aux.acc_seg": 72.45249, "loss": 0.27689, "time": 0.72512} +{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.18367, "decode.acc_seg": 74.31061, "aux.loss_seg": 0.09805, "aux.acc_seg": 72.7266, "loss": 0.28171, "time": 0.72152} +{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.1975, "decode.acc_seg": 73.44786, "aux.loss_seg": 0.10749, "aux.acc_seg": 71.54989, "loss": 0.30499, "time": 0.72636} +{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.18717, "decode.acc_seg": 73.99489, "aux.loss_seg": 0.09924, "aux.acc_seg": 72.43989, "loss": 0.28641, "time": 0.72602} +{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.1787, "decode.acc_seg": 73.83192, "aux.loss_seg": 0.09758, "aux.acc_seg": 72.0528, "loss": 0.27628, "time": 0.72652} +{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.18919, "decode.acc_seg": 74.13039, "aux.loss_seg": 0.10069, "aux.acc_seg": 72.37456, "loss": 0.28989, "time": 0.72762} +{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.18611, "decode.acc_seg": 74.7989, "aux.loss_seg": 0.10006, "aux.acc_seg": 73.07086, "loss": 0.28617, "time": 0.7316} +{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.18441, "decode.acc_seg": 73.61768, "aux.loss_seg": 0.09924, "aux.acc_seg": 71.86116, "loss": 0.28365, "time": 0.73155} +{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17655, "decode.acc_seg": 75.2991, "aux.loss_seg": 0.09617, "aux.acc_seg": 73.5304, "loss": 0.27272, "time": 0.72803} +{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18546, "decode.acc_seg": 77.07915, "aux.loss_seg": 0.10117, "aux.acc_seg": 75.32572, "loss": 0.28663, "time": 0.73083} +{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.1885, "decode.acc_seg": 75.08052, "aux.loss_seg": 0.1014, "aux.acc_seg": 73.40674, "loss": 0.2899, "time": 0.72933} +{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.19033, "decode.acc_seg": 73.47377, "aux.loss_seg": 0.10491, "aux.acc_seg": 71.53874, "loss": 0.29524, "time": 0.72678} +{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 26851, "data_time": 0.24315, "decode.loss_seg": 0.17609, "decode.acc_seg": 74.17132, "aux.loss_seg": 0.09741, "aux.acc_seg": 72.33504, "loss": 0.2735, "time": 0.9632} +{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.18214, "decode.acc_seg": 75.11859, "aux.loss_seg": 0.09882, "aux.acc_seg": 73.43026, "loss": 0.28097, "time": 0.72897} +{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.17994, "decode.acc_seg": 76.18122, "aux.loss_seg": 0.1, "aux.acc_seg": 74.25081, "loss": 0.27994, "time": 0.73073} +{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.18906, "decode.acc_seg": 74.73052, "aux.loss_seg": 0.10207, "aux.acc_seg": 73.09207, "loss": 0.29112, "time": 0.73704} +{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.18362, "decode.acc_seg": 73.93925, "aux.loss_seg": 0.10057, "aux.acc_seg": 72.18461, "loss": 0.28419, "time": 0.72993} +{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19046, "decode.acc_seg": 74.66027, "aux.loss_seg": 0.10462, "aux.acc_seg": 72.71896, "loss": 0.29508, "time": 0.72763} +{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.18752, "decode.acc_seg": 75.22947, "aux.loss_seg": 0.10164, "aux.acc_seg": 73.45102, "loss": 0.28915, "time": 0.72323} +{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.2018, "decode.acc_seg": 74.64524, "aux.loss_seg": 0.10966, "aux.acc_seg": 72.89882, "loss": 0.31147, "time": 0.73075} +{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.1895, "decode.acc_seg": 74.47038, "aux.loss_seg": 0.10152, "aux.acc_seg": 72.79498, "loss": 0.29103, "time": 0.72643} +{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.18511, "decode.acc_seg": 75.23252, "aux.loss_seg": 0.10283, "aux.acc_seg": 73.26715, "loss": 0.28794, "time": 0.72949} +{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.1853, "decode.acc_seg": 75.75339, "aux.loss_seg": 0.10118, "aux.acc_seg": 73.92209, "loss": 0.28648, "time": 0.73101} +{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.19354, "decode.acc_seg": 74.91585, "aux.loss_seg": 0.10396, "aux.acc_seg": 73.16504, "loss": 0.2975, "time": 0.73601} +{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18481, "decode.acc_seg": 73.01286, "aux.loss_seg": 0.10243, "aux.acc_seg": 71.12577, "loss": 0.28724, "time": 0.73669} +{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18819, "decode.acc_seg": 73.93513, "aux.loss_seg": 0.1005, "aux.acc_seg": 72.28567, "loss": 0.28869, "time": 0.72565} +{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.1842, "decode.acc_seg": 74.72228, "aux.loss_seg": 0.1002, "aux.acc_seg": 72.9461, "loss": 0.2844, "time": 0.73245} +{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18915, "decode.acc_seg": 72.02294, "aux.loss_seg": 0.10503, "aux.acc_seg": 70.15803, "loss": 0.29418, "time": 0.72713} +{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.183, "decode.acc_seg": 74.83078, "aux.loss_seg": 0.09865, "aux.acc_seg": 73.08995, "loss": 0.28164, "time": 0.73119} +{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.19375, "decode.acc_seg": 74.21669, "aux.loss_seg": 0.10256, "aux.acc_seg": 72.57124, "loss": 0.29631, "time": 0.73418} +{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18918, "decode.acc_seg": 74.77029, "aux.loss_seg": 0.1028, "aux.acc_seg": 72.91019, "loss": 0.29198, "time": 0.73108} +{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17626, "decode.acc_seg": 73.72344, "aux.loss_seg": 0.09695, "aux.acc_seg": 72.02751, "loss": 0.27322, "time": 0.73365} +{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.18389, "decode.acc_seg": 74.63903, "aux.loss_seg": 0.10093, "aux.acc_seg": 72.89429, "loss": 0.28482, "time": 0.72631} +{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.18696, "decode.acc_seg": 72.90878, "aux.loss_seg": 0.10066, "aux.acc_seg": 71.11975, "loss": 0.28762, "time": 0.72881} +{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.18567, "decode.acc_seg": 74.65092, "aux.loss_seg": 0.09901, "aux.acc_seg": 72.95724, "loss": 0.28468, "time": 0.73158} +{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.1739, "decode.acc_seg": 73.35084, "aux.loss_seg": 0.09649, "aux.acc_seg": 71.52601, "loss": 0.27039, "time": 0.73184} +{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.19392, "decode.acc_seg": 75.53048, "aux.loss_seg": 0.10482, "aux.acc_seg": 73.6935, "loss": 0.29874, "time": 0.73251} +{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 26851, "data_time": 0.24049, "decode.loss_seg": 0.18615, "decode.acc_seg": 74.1105, "aux.loss_seg": 0.10018, "aux.acc_seg": 72.37719, "loss": 0.28632, "time": 0.9575} +{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.18375, "decode.acc_seg": 73.95765, "aux.loss_seg": 0.09851, "aux.acc_seg": 72.34359, "loss": 0.28226, "time": 0.72779} +{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18705, "decode.acc_seg": 74.02534, "aux.loss_seg": 0.10018, "aux.acc_seg": 72.26693, "loss": 0.28723, "time": 0.72863} +{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.19021, "decode.acc_seg": 74.67565, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.87999, "loss": 0.2943, "time": 0.72504} +{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.18254, "decode.acc_seg": 74.45794, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.67032, "loss": 0.28261, "time": 0.73464} +{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.1752, "decode.acc_seg": 76.05688, "aux.loss_seg": 0.0947, "aux.acc_seg": 74.38332, "loss": 0.26989, "time": 0.72262} +{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.1737, "decode.acc_seg": 74.42511, "aux.loss_seg": 0.09621, "aux.acc_seg": 72.5864, "loss": 0.26991, "time": 0.72216} +{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18699, "decode.acc_seg": 74.41179, "aux.loss_seg": 0.09929, "aux.acc_seg": 72.78973, "loss": 0.28628, "time": 0.72975} +{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4813, "mAcc": 0.6004, "aAcc": 0.8207, "IoU.wall": 0.761, "IoU.building": 0.8067, "IoU.sky": 0.9387, "IoU.floor": 0.8076, "IoU.tree": 0.735, "IoU.ceiling": 0.8375, "IoU.road": 0.8303, "IoU.bed ": 0.8709, "IoU.windowpane": 0.5969, "IoU.grass": 0.6624, "IoU.cabinet": 0.5713, "IoU.sidewalk": 0.6464, "IoU.person": 0.7758, "IoU.earth": 0.3615, "IoU.door": 0.4269, "IoU.table": 0.5719, "IoU.mountain": 0.5637, "IoU.plant": 0.5152, "IoU.curtain": 0.7136, "IoU.chair": 0.5464, "IoU.car": 0.8176, "IoU.water": 0.494, "IoU.painting": 0.7236, "IoU.sofa": 0.599, "IoU.shelf": 0.4322, "IoU.house": 0.3909, "IoU.sea": 0.5248, "IoU.mirror": 0.6374, "IoU.rug": 0.6119, "IoU.field": 0.2913, "IoU.armchair": 0.4213, "IoU.seat": 0.6219, "IoU.fence": 0.4134, "IoU.desk": 0.4716, "IoU.rock": 0.4193, "IoU.wardrobe": 0.447, "IoU.lamp": 0.5955, "IoU.bathtub": 0.7521, "IoU.railing": 0.3485, "IoU.cushion": 0.5429, "IoU.base": 0.3221, "IoU.box": 0.2774, "IoU.column": 0.4162, "IoU.signboard": 0.3748, "IoU.chest of drawers": 0.3795, "IoU.counter": 0.3443, "IoU.sand": 0.558, "IoU.sink": 0.7108, "IoU.skyscraper": 0.5244, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7138, "IoU.grandstand": 0.4069, "IoU.path": 0.2877, "IoU.stairs": 0.2908, "IoU.runway": 0.7212, "IoU.case": 0.4581, "IoU.pool table": 0.9127, "IoU.pillow": 0.5445, "IoU.screen door": 0.6518, "IoU.stairway": 0.2688, "IoU.river": 0.1283, "IoU.bridge": 0.6627, "IoU.bookcase": 0.4063, "IoU.blind": NaN, "IoU.coffee table": 0.5479, "IoU.toilet": 0.8148, "IoU.flower": 0.4092, "IoU.book": 0.4764, "IoU.hill": 0.1118, "IoU.bench": 0.4545, "IoU.countertop": 0.5224, "IoU.stove": 0.7165, "IoU.palm": 0.4783, "IoU.kitchen island": 0.3347, "IoU.computer": 0.608, "IoU.swivel chair": 0.3937, "IoU.boat": 0.4091, "IoU.bar": 0.386, "IoU.arcade machine": 0.6051, "IoU.hovel": 0.2742, "IoU.bus": 0.8843, "IoU.towel": 0.622, "IoU.light": 0.5503, "IoU.truck": 0.2406, "IoU.tower": 0.0625, "IoU.chandelier": 0.6544, "IoU.awning": 0.2464, "IoU.streetlight": 0.208, "IoU.booth": 0.5972, "IoU.television receiver": NaN, "IoU.airplane": 0.5774, "IoU.dirt track": 0.2123, "IoU.apparel": 0.2823, "IoU.pole": 0.1801, "IoU.land": 0.028, "IoU.bannister": 0.111, "IoU.escalator": 0.402, "IoU.ottoman": 0.3694, "IoU.bottle": NaN, "IoU.buffet": 0.3288, "IoU.poster": 0.2516, "IoU.stage": 0.2028, "IoU.van": 0.3917, "IoU.ship": 0.5745, "IoU.fountain": 0.3701, "IoU.conveyer belt": 0.7799, "IoU.canopy": 0.1491, "IoU.washer": 0.6959, "IoU.plaything": 0.2282, "IoU.swimming pool": 0.7015, "IoU.stool": 0.3974, "IoU.barrel": 0.5425, "IoU.basket": 0.3354, "IoU.waterfall": 0.4863, "IoU.tent": 0.9262, "IoU.bag": 0.1267, "IoU.minibike": 0.709, "IoU.cradle": NaN, "IoU.oven": 0.3358, "IoU.ball": 0.4285, "IoU.food": 0.5923, "IoU.step": 0.1157, "IoU.tank": 0.4616, "IoU.trade name": 0.3057, "IoU.microwave": 0.6336, "IoU.pot": 0.4965, "IoU.animal": NaN, "IoU.bicycle": 0.5339, "IoU.lake": 0.5355, "IoU.dishwasher": 0.5215, "IoU.screen": 0.717, "IoU.blanket": 0.2003, "IoU.sculpture": 0.6505, "IoU.hood": 0.5812, "IoU.sconce": 0.4373, "IoU.vase": 0.3722, "IoU.traffic light": 0.2933, "IoU.tray": 0.1014, "IoU.ashcan": 0.3831, "IoU.fan": 0.5768, "IoU.pier": 0.507, "IoU.crt screen": 0.0447, "IoU.plate": 0.5643, "IoU.monitor": 0.4799, "IoU.bulletin board": 0.4024, "IoU.shower": 0.0238, "IoU.radiator": 0.5671, "IoU.glass": 0.1289, "IoU.clock": 0.3755, "IoU.flag": 0.5117, "Acc.wall": 0.8697, "Acc.building": 0.9233, "Acc.sky": 0.9723, "Acc.floor": 0.8964, "Acc.tree": 0.8758, "Acc.ceiling": 0.9283, "Acc.road": 0.8993, "Acc.bed ": 0.9473, "Acc.windowpane": 0.8069, "Acc.grass": 0.8118, "Acc.cabinet": 0.691, "Acc.sidewalk": 0.8117, "Acc.person": 0.9177, "Acc.earth": 0.4679, "Acc.door": 0.5482, "Acc.table": 0.753, "Acc.mountain": 0.7169, "Acc.plant": 0.6398, "Acc.curtain": 0.8257, "Acc.chair": 0.7027, "Acc.car": 0.8951, "Acc.water": 0.6463, "Acc.painting": 0.8648, "Acc.sofa": 0.7427, "Acc.shelf": 0.6018, "Acc.house": 0.5408, "Acc.sea": 0.7708, "Acc.mirror": 0.7218, "Acc.rug": 0.6966, "Acc.field": 0.4889, "Acc.armchair": 0.6578, "Acc.seat": 0.8311, "Acc.fence": 0.5785, "Acc.desk": 0.6502, "Acc.rock": 0.6459, "Acc.wardrobe": 0.6209, "Acc.lamp": 0.736, "Acc.bathtub": 0.8186, "Acc.railing": 0.464, "Acc.cushion": 0.7185, "Acc.base": 0.4266, "Acc.box": 0.3832, "Acc.column": 0.5292, "Acc.signboard": 0.5271, "Acc.chest of drawers": 0.5701, "Acc.counter": 0.4479, "Acc.sand": 0.7213, "Acc.sink": 0.7995, "Acc.skyscraper": 0.6604, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8088, "Acc.grandstand": 0.6392, "Acc.path": 0.4138, "Acc.stairs": 0.3587, "Acc.runway": 0.9287, "Acc.case": 0.5866, "Acc.pool table": 0.9642, "Acc.pillow": 0.646, "Acc.screen door": 0.7362, "Acc.stairway": 0.3503, "Acc.river": 0.2694, "Acc.bridge": 0.7543, "Acc.bookcase": 0.4971, "Acc.blind": NaN, "Acc.coffee table": 0.7582, "Acc.toilet": 0.8937, "Acc.flower": 0.5908, "Acc.book": 0.694, "Acc.hill": 0.2147, "Acc.bench": 0.5486, "Acc.countertop": 0.6854, "Acc.stove": 0.8164, "Acc.palm": 0.6554, "Acc.kitchen island": 0.6378, "Acc.computer": 0.7121, "Acc.swivel chair": 0.5209, "Acc.boat": 0.4815, "Acc.bar": 0.486, "Acc.arcade machine": 0.6613, "Acc.hovel": 0.3393, "Acc.bus": 0.9476, "Acc.towel": 0.7821, "Acc.light": 0.6516, "Acc.truck": 0.4091, "Acc.tower": 0.0818, "Acc.chandelier": 0.8212, "Acc.awning": 0.2909, "Acc.streetlight": 0.2769, "Acc.booth": 0.6892, "Acc.television receiver": NaN, "Acc.airplane": 0.6445, "Acc.dirt track": 0.4423, "Acc.apparel": 0.4281, "Acc.pole": 0.2495, "Acc.land": 0.0367, "Acc.bannister": 0.138, "Acc.escalator": 0.4895, "Acc.ottoman": 0.5413, "Acc.bottle": NaN, "Acc.buffet": 0.3813, "Acc.poster": 0.3272, "Acc.stage": 0.2508, "Acc.van": 0.5571, "Acc.ship": 0.967, "Acc.fountain": 0.3789, "Acc.conveyer belt": 0.8704, "Acc.canopy": 0.172, "Acc.washer": 0.7468, "Acc.plaything": 0.3729, "Acc.swimming pool": 0.7654, "Acc.stool": 0.5116, "Acc.barrel": 0.6925, "Acc.basket": 0.4338, "Acc.waterfall": 0.6167, "Acc.tent": 0.981, "Acc.bag": 0.1566, "Acc.minibike": 0.8928, "Acc.cradle": NaN, "Acc.oven": 0.4911, "Acc.ball": 0.4813, "Acc.food": 0.7003, "Acc.step": 0.1415, "Acc.tank": 0.5145, "Acc.trade name": 0.3815, "Acc.microwave": 0.7099, "Acc.pot": 0.5427, "Acc.animal": NaN, "Acc.bicycle": 0.7532, "Acc.lake": 0.6325, "Acc.dishwasher": 0.6744, "Acc.screen": 0.9269, "Acc.blanket": 0.2292, "Acc.sculpture": 0.7629, "Acc.hood": 0.6876, "Acc.sconce": 0.5397, "Acc.vase": 0.5159, "Acc.traffic light": 0.4673, "Acc.tray": 0.1819, "Acc.ashcan": 0.5002, "Acc.fan": 0.7018, "Acc.pier": 0.7377, "Acc.crt screen": 0.0984, "Acc.plate": 0.7144, "Acc.monitor": 0.5791, "Acc.bulletin board": 0.5527, "Acc.shower": 0.0239, "Acc.radiator": 0.6599, "Acc.glass": 0.137, "Acc.clock": 0.4522, "Acc.flag": 0.559} +{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 26851, "data_time": 1.90721, "decode.loss_seg": 0.18611, "decode.acc_seg": 76.066, "aux.loss_seg": 0.09993, "aux.acc_seg": 74.38724, "loss": 0.28604, "time": 2.63058} +{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.18289, "decode.acc_seg": 75.02534, "aux.loss_seg": 0.09824, "aux.acc_seg": 73.30118, "loss": 0.28113, "time": 0.73279} +{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18361, "decode.acc_seg": 74.68511, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.91347, "loss": 0.28369, "time": 0.73568} +{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.19417, "decode.acc_seg": 75.56253, "aux.loss_seg": 0.10413, "aux.acc_seg": 73.80484, "loss": 0.2983, "time": 0.72793} +{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.19012, "decode.acc_seg": 73.85352, "aux.loss_seg": 0.10407, "aux.acc_seg": 72.00499, "loss": 0.29419, "time": 0.72845} +{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.18333, "decode.acc_seg": 73.7565, "aux.loss_seg": 0.1002, "aux.acc_seg": 71.9664, "loss": 0.28353, "time": 0.73072} +{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 26851, "data_time": 0.00752, "decode.loss_seg": 0.18118, "decode.acc_seg": 74.63463, "aux.loss_seg": 0.0986, "aux.acc_seg": 72.9467, "loss": 0.27978, "time": 0.73509} +{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.19037, "decode.acc_seg": 75.3888, "aux.loss_seg": 0.10455, "aux.acc_seg": 73.38617, "loss": 0.29492, "time": 0.7397} +{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.18498, "decode.acc_seg": 73.85897, "aux.loss_seg": 0.10204, "aux.acc_seg": 72.14713, "loss": 0.28702, "time": 0.73426} +{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.188, "decode.acc_seg": 75.36667, "aux.loss_seg": 0.10232, "aux.acc_seg": 73.59255, "loss": 0.29033, "time": 0.73845} +{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.18078, "decode.acc_seg": 73.4621, "aux.loss_seg": 0.09733, "aux.acc_seg": 71.8083, "loss": 0.27811, "time": 0.73035} +{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.18301, "decode.acc_seg": 75.07577, "aux.loss_seg": 0.10051, "aux.acc_seg": 73.22514, "loss": 0.28351, "time": 0.72666} +{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.19231, "decode.acc_seg": 74.84271, "aux.loss_seg": 0.10611, "aux.acc_seg": 72.98574, "loss": 0.29842, "time": 0.72718} +{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.17792, "decode.acc_seg": 75.37039, "aux.loss_seg": 0.09931, "aux.acc_seg": 73.56818, "loss": 0.27723, "time": 0.7279} +{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.18875, "decode.acc_seg": 74.6393, "aux.loss_seg": 0.10441, "aux.acc_seg": 72.73358, "loss": 0.29316, "time": 0.7389} +{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.19494, "decode.acc_seg": 75.04321, "aux.loss_seg": 0.10852, "aux.acc_seg": 73.09618, "loss": 0.30346, "time": 0.7353} +{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 26851, "data_time": 0.25246, "decode.loss_seg": 0.18352, "decode.acc_seg": 75.0044, "aux.loss_seg": 0.09922, "aux.acc_seg": 73.32896, "loss": 0.28273, "time": 0.97665} +{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.17848, "decode.acc_seg": 74.89548, "aux.loss_seg": 0.09845, "aux.acc_seg": 73.09313, "loss": 0.27693, "time": 0.72814} +{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.17831, "decode.acc_seg": 75.01469, "aux.loss_seg": 0.09701, "aux.acc_seg": 73.27114, "loss": 0.27532, "time": 0.73145} +{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.17974, "decode.acc_seg": 74.3394, "aux.loss_seg": 0.09738, "aux.acc_seg": 72.56603, "loss": 0.27712, "time": 0.73582} +{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17731, "decode.acc_seg": 74.7808, "aux.loss_seg": 0.09733, "aux.acc_seg": 72.95847, "loss": 0.27464, "time": 0.73015} +{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.1809, "decode.acc_seg": 73.66949, "aux.loss_seg": 0.09949, "aux.acc_seg": 71.93306, "loss": 0.28039, "time": 0.73529} +{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.18215, "decode.acc_seg": 73.94497, "aux.loss_seg": 0.10318, "aux.acc_seg": 71.89645, "loss": 0.28533, "time": 0.73086} +{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.17652, "decode.acc_seg": 74.83559, "aux.loss_seg": 0.09607, "aux.acc_seg": 73.13441, "loss": 0.27259, "time": 0.73247} +{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.1846, "decode.acc_seg": 75.33019, "aux.loss_seg": 0.10086, "aux.acc_seg": 73.52445, "loss": 0.28546, "time": 0.73143} +{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.1924, "decode.acc_seg": 74.55589, "aux.loss_seg": 0.104, "aux.acc_seg": 72.73816, "loss": 0.2964, "time": 0.7279} +{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.18605, "decode.acc_seg": 73.1556, "aux.loss_seg": 0.10211, "aux.acc_seg": 71.39584, "loss": 0.28816, "time": 0.73282} +{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.19567, "decode.acc_seg": 74.96952, "aux.loss_seg": 0.10421, "aux.acc_seg": 73.31334, "loss": 0.29988, "time": 0.73444} +{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.18201, "decode.acc_seg": 74.76447, "aux.loss_seg": 0.09992, "aux.acc_seg": 72.99199, "loss": 0.28193, "time": 0.72876} +{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.1881, "decode.acc_seg": 74.57414, "aux.loss_seg": 0.1031, "aux.acc_seg": 72.72673, "loss": 0.29121, "time": 0.73857} +{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.18918, "decode.acc_seg": 75.54212, "aux.loss_seg": 0.10358, "aux.acc_seg": 73.74066, "loss": 0.29276, "time": 0.72617} +{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19173, "decode.acc_seg": 74.82032, "aux.loss_seg": 0.10474, "aux.acc_seg": 72.95495, "loss": 0.29647, "time": 0.73491} +{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.18291, "decode.acc_seg": 75.19898, "aux.loss_seg": 0.09972, "aux.acc_seg": 73.39127, "loss": 0.28263, "time": 0.73727} +{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.19054, "decode.acc_seg": 75.23657, "aux.loss_seg": 0.1041, "aux.acc_seg": 73.38507, "loss": 0.29464, "time": 0.73297} +{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.18487, "decode.acc_seg": 73.90383, "aux.loss_seg": 0.09972, "aux.acc_seg": 72.14183, "loss": 0.28459, "time": 0.7388} +{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.183, "decode.acc_seg": 74.0197, "aux.loss_seg": 0.09961, "aux.acc_seg": 72.20578, "loss": 0.2826, "time": 0.73411} +{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18012, "decode.acc_seg": 75.23615, "aux.loss_seg": 0.09698, "aux.acc_seg": 73.62104, "loss": 0.2771, "time": 0.73756} +{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.18021, "decode.acc_seg": 73.3943, "aux.loss_seg": 0.09939, "aux.acc_seg": 71.61421, "loss": 0.2796, "time": 0.72926} +{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.17641, "decode.acc_seg": 72.42039, "aux.loss_seg": 0.09805, "aux.acc_seg": 70.55321, "loss": 0.27446, "time": 0.73058} +{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.18056, "decode.acc_seg": 75.09762, "aux.loss_seg": 0.09858, "aux.acc_seg": 73.37077, "loss": 0.27914, "time": 0.72986} +{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.18271, "decode.acc_seg": 73.9605, "aux.loss_seg": 0.09894, "aux.acc_seg": 72.26792, "loss": 0.28165, "time": 0.73741} +{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 26851, "data_time": 0.2538, "decode.loss_seg": 0.17757, "decode.acc_seg": 75.62767, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.80863, "loss": 0.27524, "time": 0.97963} +{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.18638, "decode.acc_seg": 73.6958, "aux.loss_seg": 0.09944, "aux.acc_seg": 72.22582, "loss": 0.28582, "time": 0.73118} +{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 26851, "data_time": 0.00758, "decode.loss_seg": 0.18099, "decode.acc_seg": 73.90709, "aux.loss_seg": 0.09985, "aux.acc_seg": 72.12145, "loss": 0.28084, "time": 0.73699} +{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.18098, "decode.acc_seg": 73.60999, "aux.loss_seg": 0.09872, "aux.acc_seg": 71.90209, "loss": 0.2797, "time": 0.73061} +{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.17959, "decode.acc_seg": 73.45408, "aux.loss_seg": 0.09907, "aux.acc_seg": 71.64125, "loss": 0.27867, "time": 0.72674} +{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.18077, "decode.acc_seg": 73.96658, "aux.loss_seg": 0.09922, "aux.acc_seg": 72.22186, "loss": 0.27999, "time": 0.73165} +{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.18456, "decode.acc_seg": 74.67893, "aux.loss_seg": 0.10104, "aux.acc_seg": 72.89234, "loss": 0.2856, "time": 0.73003} +{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.17647, "decode.acc_seg": 74.28412, "aux.loss_seg": 0.09923, "aux.acc_seg": 72.33661, "loss": 0.27571, "time": 0.73238} +{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.18217, "decode.acc_seg": 75.47203, "aux.loss_seg": 0.09949, "aux.acc_seg": 73.65865, "loss": 0.28166, "time": 0.72973} +{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.18322, "decode.acc_seg": 74.48942, "aux.loss_seg": 0.09889, "aux.acc_seg": 72.7683, "loss": 0.28211, "time": 0.73894} +{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17252, "decode.acc_seg": 73.52786, "aux.loss_seg": 0.0953, "aux.acc_seg": 71.66744, "loss": 0.26782, "time": 0.72745} +{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.18699, "decode.acc_seg": 75.70491, "aux.loss_seg": 0.1007, "aux.acc_seg": 73.97779, "loss": 0.28769, "time": 0.72597} +{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18425, "decode.acc_seg": 74.75988, "aux.loss_seg": 0.1014, "aux.acc_seg": 72.83083, "loss": 0.28565, "time": 0.73218} +{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.17865, "decode.acc_seg": 76.48962, "aux.loss_seg": 0.09734, "aux.acc_seg": 74.83458, "loss": 0.27599, "time": 0.73331} +{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18263, "decode.acc_seg": 74.3031, "aux.loss_seg": 0.09957, "aux.acc_seg": 72.58771, "loss": 0.2822, "time": 0.7373} +{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18346, "decode.acc_seg": 75.05988, "aux.loss_seg": 0.10049, "aux.acc_seg": 73.21326, "loss": 0.28395, "time": 0.73567} +{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19204, "decode.acc_seg": 74.77613, "aux.loss_seg": 0.10238, "aux.acc_seg": 72.97229, "loss": 0.29442, "time": 0.72925} +{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.1814, "decode.acc_seg": 74.39078, "aux.loss_seg": 0.09791, "aux.acc_seg": 72.7208, "loss": 0.27931, "time": 0.72696} +{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17831, "decode.acc_seg": 74.84405, "aux.loss_seg": 0.09623, "aux.acc_seg": 73.15912, "loss": 0.27454, "time": 0.72978} +{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.18444, "decode.acc_seg": 74.72479, "aux.loss_seg": 0.10197, "aux.acc_seg": 72.95138, "loss": 0.2864, "time": 0.73234} +{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.19429, "decode.acc_seg": 74.64884, "aux.loss_seg": 0.10526, "aux.acc_seg": 72.74487, "loss": 0.29955, "time": 0.73186} +{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.18826, "decode.acc_seg": 75.12432, "aux.loss_seg": 0.10452, "aux.acc_seg": 73.23276, "loss": 0.29278, "time": 0.7339} +{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.18766, "decode.acc_seg": 75.47696, "aux.loss_seg": 0.10218, "aux.acc_seg": 73.64654, "loss": 0.28983, "time": 0.72893} +{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18798, "decode.acc_seg": 73.76939, "aux.loss_seg": 0.1002, "aux.acc_seg": 72.20068, "loss": 0.28818, "time": 0.72897} +{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.1903, "decode.acc_seg": 73.96237, "aux.loss_seg": 0.10492, "aux.acc_seg": 71.95906, "loss": 0.29523, "time": 0.72453} +{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.1788, "decode.acc_seg": 73.9511, "aux.loss_seg": 0.09696, "aux.acc_seg": 72.26778, "loss": 0.27576, "time": 0.73192} +{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 26851, "data_time": 0.25161, "decode.loss_seg": 0.19417, "decode.acc_seg": 74.82841, "aux.loss_seg": 0.10469, "aux.acc_seg": 72.89925, "loss": 0.29886, "time": 0.97524} +{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.17596, "decode.acc_seg": 74.43525, "aux.loss_seg": 0.09643, "aux.acc_seg": 72.65309, "loss": 0.27239, "time": 0.72982} +{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.18754, "decode.acc_seg": 73.52319, "aux.loss_seg": 0.10246, "aux.acc_seg": 71.81095, "loss": 0.29, "time": 0.73569} +{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.17741, "decode.acc_seg": 73.54363, "aux.loss_seg": 0.09752, "aux.acc_seg": 71.7632, "loss": 0.27493, "time": 0.73295} +{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.17627, "decode.acc_seg": 73.50643, "aux.loss_seg": 0.09739, "aux.acc_seg": 71.6094, "loss": 0.27366, "time": 0.73517} +{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.18035, "decode.acc_seg": 75.31837, "aux.loss_seg": 0.09775, "aux.acc_seg": 73.54584, "loss": 0.27809, "time": 0.74056} +{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17629, "decode.acc_seg": 76.04104, "aux.loss_seg": 0.09624, "aux.acc_seg": 74.27029, "loss": 0.27253, "time": 0.73236} +{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.18616, "decode.acc_seg": 73.95444, "aux.loss_seg": 0.10111, "aux.acc_seg": 72.2976, "loss": 0.28727, "time": 0.73564} +{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.18226, "decode.acc_seg": 74.81916, "aux.loss_seg": 0.09724, "aux.acc_seg": 73.26405, "loss": 0.2795, "time": 0.73198} +{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18049, "decode.acc_seg": 74.98012, "aux.loss_seg": 0.0985, "aux.acc_seg": 73.2927, "loss": 0.27899, "time": 0.73481} +{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.1917, "decode.acc_seg": 74.75768, "aux.loss_seg": 0.10357, "aux.acc_seg": 73.01258, "loss": 0.29528, "time": 0.73178} +{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.17795, "decode.acc_seg": 73.34682, "aux.loss_seg": 0.09626, "aux.acc_seg": 71.60031, "loss": 0.27421, "time": 0.73333} +{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.1824, "decode.acc_seg": 75.45747, "aux.loss_seg": 0.09996, "aux.acc_seg": 73.6744, "loss": 0.28236, "time": 0.74127} +{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.1816, "decode.acc_seg": 74.14126, "aux.loss_seg": 0.09914, "aux.acc_seg": 72.33477, "loss": 0.28074, "time": 0.73131} +{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17112, "decode.acc_seg": 73.52911, "aux.loss_seg": 0.09547, "aux.acc_seg": 71.65149, "loss": 0.26659, "time": 0.72977} +{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.18576, "decode.acc_seg": 75.97867, "aux.loss_seg": 0.10161, "aux.acc_seg": 74.15042, "loss": 0.28736, "time": 0.73324} +{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.18012, "decode.acc_seg": 74.27555, "aux.loss_seg": 0.10141, "aux.acc_seg": 72.3274, "loss": 0.28153, "time": 0.73205} +{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.18851, "decode.acc_seg": 75.42746, "aux.loss_seg": 0.10023, "aux.acc_seg": 73.8751, "loss": 0.28874, "time": 0.73316} +{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.18257, "decode.acc_seg": 75.43743, "aux.loss_seg": 0.10016, "aux.acc_seg": 73.62929, "loss": 0.28273, "time": 0.72873} +{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.19295, "decode.acc_seg": 75.13954, "aux.loss_seg": 0.10472, "aux.acc_seg": 73.31765, "loss": 0.29767, "time": 0.72378} +{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.16946, "decode.acc_seg": 74.61868, "aux.loss_seg": 0.09482, "aux.acc_seg": 72.88323, "loss": 0.26428, "time": 0.72362} +{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.1747, "decode.acc_seg": 74.23782, "aux.loss_seg": 0.09621, "aux.acc_seg": 72.4769, "loss": 0.27091, "time": 0.73477} +{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.17888, "decode.acc_seg": 74.80899, "aux.loss_seg": 0.09741, "aux.acc_seg": 73.08248, "loss": 0.27629, "time": 0.73511} +{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.18445, "decode.acc_seg": 74.53399, "aux.loss_seg": 0.10331, "aux.acc_seg": 72.57142, "loss": 0.28776, "time": 0.72878} +{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.17661, "decode.acc_seg": 74.44662, "aux.loss_seg": 0.09564, "aux.acc_seg": 72.79748, "loss": 0.27225, "time": 0.73284} +{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 26851, "data_time": 0.24395, "decode.loss_seg": 0.19052, "decode.acc_seg": 76.02269, "aux.loss_seg": 0.10499, "aux.acc_seg": 74.0824, "loss": 0.2955, "time": 0.96228} +{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.18699, "decode.acc_seg": 74.61241, "aux.loss_seg": 0.10097, "aux.acc_seg": 72.75378, "loss": 0.28795, "time": 0.72405} +{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.1813, "decode.acc_seg": 75.46626, "aux.loss_seg": 0.09929, "aux.acc_seg": 73.74502, "loss": 0.28058, "time": 0.72543} +{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.18589, "decode.acc_seg": 75.98944, "aux.loss_seg": 0.10118, "aux.acc_seg": 74.14973, "loss": 0.28707, "time": 0.7276} +{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.17032, "decode.acc_seg": 75.14424, "aux.loss_seg": 0.09392, "aux.acc_seg": 73.37198, "loss": 0.26425, "time": 0.7382} +{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17802, "decode.acc_seg": 73.46818, "aux.loss_seg": 0.09885, "aux.acc_seg": 71.60248, "loss": 0.27687, "time": 0.72867} +{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18322, "decode.acc_seg": 74.27359, "aux.loss_seg": 0.10132, "aux.acc_seg": 72.30171, "loss": 0.28454, "time": 0.73297} +{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18028, "decode.acc_seg": 74.65892, "aux.loss_seg": 0.09799, "aux.acc_seg": 72.95864, "loss": 0.27828, "time": 0.7334} +{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.18607, "decode.acc_seg": 74.34492, "aux.loss_seg": 0.10166, "aux.acc_seg": 72.51777, "loss": 0.28773, "time": 0.73371} +{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 26851, "data_time": 0.00752, "decode.loss_seg": 0.18816, "decode.acc_seg": 75.92879, "aux.loss_seg": 0.10384, "aux.acc_seg": 74.21564, "loss": 0.292, "time": 0.72704} +{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19592, "decode.acc_seg": 74.5393, "aux.loss_seg": 0.10627, "aux.acc_seg": 72.60283, "loss": 0.30219, "time": 0.7277} +{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.19215, "decode.acc_seg": 75.42366, "aux.loss_seg": 0.10273, "aux.acc_seg": 73.77331, "loss": 0.29488, "time": 0.72898} +{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.17812, "decode.acc_seg": 75.65818, "aux.loss_seg": 0.09592, "aux.acc_seg": 73.9544, "loss": 0.27404, "time": 0.73324} +{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.1807, "decode.acc_seg": 74.74568, "aux.loss_seg": 0.10265, "aux.acc_seg": 72.73994, "loss": 0.28335, "time": 0.7274} +{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17863, "decode.acc_seg": 75.10595, "aux.loss_seg": 0.09619, "aux.acc_seg": 73.43639, "loss": 0.27482, "time": 0.73804} +{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17191, "decode.acc_seg": 73.16809, "aux.loss_seg": 0.09597, "aux.acc_seg": 71.24621, "loss": 0.26788, "time": 0.73212} +{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.17373, "decode.acc_seg": 74.84106, "aux.loss_seg": 0.09558, "aux.acc_seg": 73.12173, "loss": 0.26931, "time": 0.7325} +{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17559, "decode.acc_seg": 75.03308, "aux.loss_seg": 0.09555, "aux.acc_seg": 73.29674, "loss": 0.27114, "time": 0.72542} +{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18636, "decode.acc_seg": 76.85358, "aux.loss_seg": 0.10125, "aux.acc_seg": 75.02315, "loss": 0.2876, "time": 0.73051} +{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.17507, "decode.acc_seg": 75.87435, "aux.loss_seg": 0.09674, "aux.acc_seg": 73.98505, "loss": 0.27181, "time": 0.72837} +{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.18188, "decode.acc_seg": 74.23013, "aux.loss_seg": 0.09933, "aux.acc_seg": 72.49238, "loss": 0.28121, "time": 0.73111} +{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17763, "decode.acc_seg": 73.90443, "aux.loss_seg": 0.09743, "aux.acc_seg": 72.24203, "loss": 0.27506, "time": 0.73935} +{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.18113, "decode.acc_seg": 73.86304, "aux.loss_seg": 0.1003, "aux.acc_seg": 71.99299, "loss": 0.28143, "time": 0.72934} +{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.18254, "decode.acc_seg": 75.35641, "aux.loss_seg": 0.10018, "aux.acc_seg": 73.61943, "loss": 0.28272, "time": 0.72529} +{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.17856, "decode.acc_seg": 73.76312, "aux.loss_seg": 0.09755, "aux.acc_seg": 72.07803, "loss": 0.27611, "time": 0.72372} +{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 26851, "data_time": 0.25117, "decode.loss_seg": 0.17408, "decode.acc_seg": 75.89643, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.28247, "loss": 0.26887, "time": 0.9702} +{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.18292, "decode.acc_seg": 75.13142, "aux.loss_seg": 0.10042, "aux.acc_seg": 73.28437, "loss": 0.28334, "time": 0.73298} +{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.16983, "decode.acc_seg": 73.54042, "aux.loss_seg": 0.09354, "aux.acc_seg": 71.85634, "loss": 0.26337, "time": 0.7321} +{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.17902, "decode.acc_seg": 75.1515, "aux.loss_seg": 0.0986, "aux.acc_seg": 73.41988, "loss": 0.27762, "time": 0.72646} +{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.18495, "decode.acc_seg": 75.39538, "aux.loss_seg": 0.10244, "aux.acc_seg": 73.47929, "loss": 0.28739, "time": 0.72662} +{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17705, "decode.acc_seg": 75.65376, "aux.loss_seg": 0.09812, "aux.acc_seg": 73.8339, "loss": 0.27517, "time": 0.73068} +{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.18584, "decode.acc_seg": 75.22066, "aux.loss_seg": 0.10066, "aux.acc_seg": 73.33104, "loss": 0.28651, "time": 0.73009} +{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.17672, "decode.acc_seg": 73.90188, "aux.loss_seg": 0.09528, "aux.acc_seg": 72.15268, "loss": 0.272, "time": 0.72779} +{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19243, "decode.acc_seg": 74.58457, "aux.loss_seg": 0.10396, "aux.acc_seg": 72.80535, "loss": 0.29639, "time": 0.72309} +{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.18459, "decode.acc_seg": 74.80521, "aux.loss_seg": 0.09993, "aux.acc_seg": 73.02793, "loss": 0.28452, "time": 0.72744} +{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17924, "decode.acc_seg": 73.68147, "aux.loss_seg": 0.09883, "aux.acc_seg": 71.904, "loss": 0.27807, "time": 0.72702} +{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1795, "decode.acc_seg": 74.96123, "aux.loss_seg": 0.09776, "aux.acc_seg": 73.12287, "loss": 0.27727, "time": 0.73032} +{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.18501, "decode.acc_seg": 73.29354, "aux.loss_seg": 0.10101, "aux.acc_seg": 71.55834, "loss": 0.28602, "time": 0.72981} +{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.18429, "decode.acc_seg": 73.96875, "aux.loss_seg": 0.1018, "aux.acc_seg": 72.1019, "loss": 0.28609, "time": 0.7327} +{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.17794, "decode.acc_seg": 74.34341, "aux.loss_seg": 0.09933, "aux.acc_seg": 72.38419, "loss": 0.27727, "time": 0.72819} +{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.17942, "decode.acc_seg": 75.77592, "aux.loss_seg": 0.09755, "aux.acc_seg": 74.00555, "loss": 0.27697, "time": 0.72806} +{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.18539, "decode.acc_seg": 75.39497, "aux.loss_seg": 0.09941, "aux.acc_seg": 73.67405, "loss": 0.2848, "time": 0.72586} +{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.1922, "decode.acc_seg": 75.0673, "aux.loss_seg": 0.10269, "aux.acc_seg": 73.25086, "loss": 0.29489, "time": 0.72384} +{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18558, "decode.acc_seg": 75.70225, "aux.loss_seg": 0.10121, "aux.acc_seg": 74.01205, "loss": 0.28679, "time": 0.72836} +{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.19395, "decode.acc_seg": 73.87314, "aux.loss_seg": 0.10518, "aux.acc_seg": 71.97794, "loss": 0.29914, "time": 0.72913} +{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.17857, "decode.acc_seg": 74.33521, "aux.loss_seg": 0.09686, "aux.acc_seg": 72.72331, "loss": 0.27543, "time": 0.72879} +{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17305, "decode.acc_seg": 75.03008, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.42843, "loss": 0.26687, "time": 0.73141} +{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18051, "decode.acc_seg": 75.59477, "aux.loss_seg": 0.09931, "aux.acc_seg": 73.74235, "loss": 0.27982, "time": 0.72998} +{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18104, "decode.acc_seg": 75.25643, "aux.loss_seg": 0.09888, "aux.acc_seg": 73.37631, "loss": 0.27993, "time": 0.72909} +{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.18513, "decode.acc_seg": 75.11443, "aux.loss_seg": 0.10092, "aux.acc_seg": 73.38499, "loss": 0.28605, "time": 0.72911} +{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 26851, "data_time": 0.23872, "decode.loss_seg": 0.1856, "decode.acc_seg": 75.29198, "aux.loss_seg": 0.10184, "aux.acc_seg": 73.41879, "loss": 0.28745, "time": 0.95837} +{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16829, "decode.acc_seg": 75.13909, "aux.loss_seg": 0.0918, "aux.acc_seg": 73.51504, "loss": 0.26009, "time": 0.73424} +{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.17669, "decode.acc_seg": 74.25032, "aux.loss_seg": 0.09659, "aux.acc_seg": 72.49145, "loss": 0.27328, "time": 0.73302} +{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.17973, "decode.acc_seg": 74.83329, "aux.loss_seg": 0.09905, "aux.acc_seg": 72.92594, "loss": 0.27878, "time": 0.7336} +{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18337, "decode.acc_seg": 75.3208, "aux.loss_seg": 0.10003, "aux.acc_seg": 73.57619, "loss": 0.2834, "time": 0.73598} +{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.17561, "decode.acc_seg": 75.93177, "aux.loss_seg": 0.097, "aux.acc_seg": 74.01491, "loss": 0.27261, "time": 0.72433} +{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.18189, "decode.acc_seg": 74.36994, "aux.loss_seg": 0.10042, "aux.acc_seg": 72.49394, "loss": 0.2823, "time": 0.7243} +{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.18523, "decode.acc_seg": 75.3784, "aux.loss_seg": 0.09911, "aux.acc_seg": 73.58824, "loss": 0.28434, "time": 0.72637} +{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.19144, "decode.acc_seg": 74.11574, "aux.loss_seg": 0.10481, "aux.acc_seg": 72.28474, "loss": 0.29625, "time": 0.72916} +{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.17637, "decode.acc_seg": 73.74551, "aux.loss_seg": 0.09834, "aux.acc_seg": 71.88249, "loss": 0.27471, "time": 0.73257} +{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.18322, "decode.acc_seg": 74.52963, "aux.loss_seg": 0.10031, "aux.acc_seg": 72.70729, "loss": 0.28353, "time": 0.72974} +{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.17928, "decode.acc_seg": 74.04764, "aux.loss_seg": 0.09619, "aux.acc_seg": 72.42172, "loss": 0.27547, "time": 0.73053} +{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.18221, "decode.acc_seg": 73.97778, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.23957, "loss": 0.28107, "time": 0.72836} +{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.1814, "decode.acc_seg": 74.78962, "aux.loss_seg": 0.09852, "aux.acc_seg": 73.03029, "loss": 0.27992, "time": 0.72958} +{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.1763, "decode.acc_seg": 74.37693, "aux.loss_seg": 0.09772, "aux.acc_seg": 72.51834, "loss": 0.27401, "time": 0.73179} +{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.17141, "decode.acc_seg": 75.14349, "aux.loss_seg": 0.09467, "aux.acc_seg": 73.40425, "loss": 0.26609, "time": 0.73362} +{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18493, "decode.acc_seg": 74.88841, "aux.loss_seg": 0.09834, "aux.acc_seg": 73.26253, "loss": 0.28327, "time": 0.72847} +{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.17526, "decode.acc_seg": 74.89378, "aux.loss_seg": 0.09459, "aux.acc_seg": 73.21557, "loss": 0.26985, "time": 0.72468} +{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.18858, "decode.acc_seg": 74.7906, "aux.loss_seg": 0.10309, "aux.acc_seg": 73.01302, "loss": 0.29167, "time": 0.72567} +{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.17081, "decode.acc_seg": 74.4643, "aux.loss_seg": 0.09368, "aux.acc_seg": 72.67463, "loss": 0.26448, "time": 0.72632} +{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18393, "decode.acc_seg": 75.09771, "aux.loss_seg": 0.09961, "aux.acc_seg": 73.35371, "loss": 0.28354, "time": 0.72729} +{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18114, "decode.acc_seg": 74.78822, "aux.loss_seg": 0.10205, "aux.acc_seg": 72.79326, "loss": 0.28319, "time": 0.7287} +{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.17769, "decode.acc_seg": 75.97236, "aux.loss_seg": 0.09696, "aux.acc_seg": 74.28101, "loss": 0.27465, "time": 0.72679} +{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.17993, "decode.acc_seg": 73.77805, "aux.loss_seg": 0.09859, "aux.acc_seg": 71.98591, "loss": 0.27851, "time": 0.73071} +{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.18237, "decode.acc_seg": 75.6069, "aux.loss_seg": 0.09891, "aux.acc_seg": 73.91512, "loss": 0.28127, "time": 0.74538} +{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.17738, "decode.acc_seg": 75.79846, "aux.loss_seg": 0.0973, "aux.acc_seg": 74.07063, "loss": 0.27468, "time": 0.72844} +{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 26851, "data_time": 0.24658, "decode.loss_seg": 0.18305, "decode.acc_seg": 74.61996, "aux.loss_seg": 0.10041, "aux.acc_seg": 72.77746, "loss": 0.28347, "time": 0.9622} +{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.16714, "decode.acc_seg": 75.54801, "aux.loss_seg": 0.09157, "aux.acc_seg": 73.80927, "loss": 0.25871, "time": 0.7253} +{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.1806, "decode.acc_seg": 75.74717, "aux.loss_seg": 0.09892, "aux.acc_seg": 73.96549, "loss": 0.27952, "time": 0.72764} +{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17492, "decode.acc_seg": 74.71083, "aux.loss_seg": 0.09688, "aux.acc_seg": 72.91803, "loss": 0.27179, "time": 0.72985} +{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.16947, "decode.acc_seg": 73.86066, "aux.loss_seg": 0.09512, "aux.acc_seg": 72.01573, "loss": 0.26458, "time": 0.73409} +{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.18047, "decode.acc_seg": 75.78662, "aux.loss_seg": 0.1007, "aux.acc_seg": 73.83877, "loss": 0.28118, "time": 0.72916} +{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.19203, "decode.acc_seg": 75.19482, "aux.loss_seg": 0.10303, "aux.acc_seg": 73.4065, "loss": 0.29506, "time": 0.73403} +{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.17475, "decode.acc_seg": 75.81417, "aux.loss_seg": 0.09593, "aux.acc_seg": 74.02559, "loss": 0.27068, "time": 0.72571} +{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.18287, "decode.acc_seg": 76.08989, "aux.loss_seg": 0.10066, "aux.acc_seg": 74.25905, "loss": 0.28353, "time": 0.72597} +{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.17967, "decode.acc_seg": 73.30091, "aux.loss_seg": 0.09733, "aux.acc_seg": 71.67008, "loss": 0.277, "time": 0.7368} +{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.17438, "decode.acc_seg": 74.71574, "aux.loss_seg": 0.09757, "aux.acc_seg": 72.87864, "loss": 0.27195, "time": 0.72784} +{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.17895, "decode.acc_seg": 75.15325, "aux.loss_seg": 0.09867, "aux.acc_seg": 73.39299, "loss": 0.27762, "time": 0.72855} +{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18136, "decode.acc_seg": 75.40984, "aux.loss_seg": 0.09977, "aux.acc_seg": 73.54362, "loss": 0.28112, "time": 0.73033} +{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1744, "decode.acc_seg": 73.44954, "aux.loss_seg": 0.09396, "aux.acc_seg": 71.88897, "loss": 0.26835, "time": 0.73151} +{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.1727, "decode.acc_seg": 75.24692, "aux.loss_seg": 0.09552, "aux.acc_seg": 73.50595, "loss": 0.26822, "time": 0.73039} +{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17705, "decode.acc_seg": 75.52957, "aux.loss_seg": 0.09701, "aux.acc_seg": 73.8034, "loss": 0.27406, "time": 0.73099} +{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.17905, "decode.acc_seg": 74.98558, "aux.loss_seg": 0.09608, "aux.acc_seg": 73.33902, "loss": 0.27513, "time": 0.73627} +{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.17151, "decode.acc_seg": 74.83867, "aux.loss_seg": 0.09374, "aux.acc_seg": 73.28393, "loss": 0.26525, "time": 0.73502} +{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.17242, "decode.acc_seg": 74.16578, "aux.loss_seg": 0.09487, "aux.acc_seg": 72.35217, "loss": 0.26729, "time": 0.73117} +{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.18831, "decode.acc_seg": 75.87309, "aux.loss_seg": 0.10111, "aux.acc_seg": 74.16188, "loss": 0.28942, "time": 0.73211} +{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.1741, "decode.acc_seg": 74.73611, "aux.loss_seg": 0.09407, "aux.acc_seg": 73.07041, "loss": 0.26817, "time": 0.72583} +{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18037, "decode.acc_seg": 75.60913, "aux.loss_seg": 0.09792, "aux.acc_seg": 73.89339, "loss": 0.27829, "time": 0.72388} +{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.18008, "decode.acc_seg": 75.23379, "aux.loss_seg": 0.10055, "aux.acc_seg": 73.22541, "loss": 0.28063, "time": 0.72778} +{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.18509, "decode.acc_seg": 74.02713, "aux.loss_seg": 0.10138, "aux.acc_seg": 72.19467, "loss": 0.28647, "time": 0.72857} +{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.18135, "decode.acc_seg": 73.3868, "aux.loss_seg": 0.09917, "aux.acc_seg": 71.66314, "loss": 0.28052, "time": 0.73116} +{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 26851, "data_time": 0.24737, "decode.loss_seg": 0.18105, "decode.acc_seg": 74.10845, "aux.loss_seg": 0.09818, "aux.acc_seg": 72.48021, "loss": 0.27922, "time": 0.97233} +{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.1857, "decode.acc_seg": 74.16576, "aux.loss_seg": 0.09977, "aux.acc_seg": 72.46, "loss": 0.28548, "time": 0.73244} +{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17412, "decode.acc_seg": 74.81367, "aux.loss_seg": 0.09603, "aux.acc_seg": 73.0758, "loss": 0.27015, "time": 0.72729} +{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.17732, "decode.acc_seg": 75.41526, "aux.loss_seg": 0.09637, "aux.acc_seg": 73.65741, "loss": 0.27369, "time": 0.72816} +{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.17906, "decode.acc_seg": 73.47757, "aux.loss_seg": 0.09775, "aux.acc_seg": 71.74968, "loss": 0.27681, "time": 0.72984} +{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17424, "decode.acc_seg": 74.40911, "aux.loss_seg": 0.09655, "aux.acc_seg": 72.69026, "loss": 0.27078, "time": 0.73409} +{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.17434, "decode.acc_seg": 75.65314, "aux.loss_seg": 0.09687, "aux.acc_seg": 73.81279, "loss": 0.27121, "time": 0.73156} +{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.17113, "decode.acc_seg": 73.70797, "aux.loss_seg": 0.09539, "aux.acc_seg": 71.8829, "loss": 0.26653, "time": 0.72368} +{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.18507, "decode.acc_seg": 75.08999, "aux.loss_seg": 0.10217, "aux.acc_seg": 73.2307, "loss": 0.28723, "time": 0.73152} +{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.87935, "aux.loss_seg": 0.10068, "aux.acc_seg": 73.06752, "loss": 0.28248, "time": 0.72817} +{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 26851, "data_time": 0.00912, "decode.loss_seg": 0.17561, "decode.acc_seg": 74.61846, "aux.loss_seg": 0.09788, "aux.acc_seg": 72.84172, "loss": 0.27349, "time": 0.73298} +{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.17686, "decode.acc_seg": 74.79147, "aux.loss_seg": 0.09667, "aux.acc_seg": 73.06696, "loss": 0.27353, "time": 0.72929} +{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.18273, "decode.acc_seg": 74.65419, "aux.loss_seg": 0.09899, "aux.acc_seg": 72.94609, "loss": 0.28173, "time": 0.72684} +{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 26851, "data_time": 0.00915, "decode.loss_seg": 0.17783, "decode.acc_seg": 74.60566, "aux.loss_seg": 0.09702, "aux.acc_seg": 72.84991, "loss": 0.27485, "time": 0.73211} +{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.17014, "decode.acc_seg": 75.19401, "aux.loss_seg": 0.09355, "aux.acc_seg": 73.46663, "loss": 0.2637, "time": 0.72922} +{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 26851, "data_time": 0.00947, "decode.loss_seg": 0.17026, "decode.acc_seg": 75.57898, "aux.loss_seg": 0.09465, "aux.acc_seg": 73.82358, "loss": 0.26491, "time": 0.73252} +{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 26851, "data_time": 0.00933, "decode.loss_seg": 0.18261, "decode.acc_seg": 74.29243, "aux.loss_seg": 0.10181, "aux.acc_seg": 72.40214, "loss": 0.28442, "time": 0.73201} +{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.17362, "decode.acc_seg": 74.56249, "aux.loss_seg": 0.09596, "aux.acc_seg": 72.73918, "loss": 0.26958, "time": 0.73263} +{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 26851, "data_time": 0.00915, "decode.loss_seg": 0.18012, "decode.acc_seg": 74.28196, "aux.loss_seg": 0.09877, "aux.acc_seg": 72.44256, "loss": 0.27889, "time": 0.72813} +{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 26851, "data_time": 0.00938, "decode.loss_seg": 0.17599, "decode.acc_seg": 75.15593, "aux.loss_seg": 0.09577, "aux.acc_seg": 73.47189, "loss": 0.27176, "time": 0.72551} +{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 26851, "data_time": 0.00965, "decode.loss_seg": 0.17504, "decode.acc_seg": 75.27527, "aux.loss_seg": 0.09621, "aux.acc_seg": 73.46942, "loss": 0.27125, "time": 0.734} +{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 26851, "data_time": 0.00934, "decode.loss_seg": 0.1736, "decode.acc_seg": 75.11448, "aux.loss_seg": 0.09644, "aux.acc_seg": 73.38522, "loss": 0.27004, "time": 0.73159} +{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17667, "decode.acc_seg": 74.94941, "aux.loss_seg": 0.09587, "aux.acc_seg": 73.22777, "loss": 0.27253, "time": 0.72897} +{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.17142, "decode.acc_seg": 74.59936, "aux.loss_seg": 0.09646, "aux.acc_seg": 72.75354, "loss": 0.26789, "time": 0.73038} +{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.18005, "decode.acc_seg": 75.20388, "aux.loss_seg": 0.0999, "aux.acc_seg": 73.34432, "loss": 0.27995, "time": 0.73221} +{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 26851, "data_time": 0.24486, "decode.loss_seg": 0.17134, "decode.acc_seg": 75.30597, "aux.loss_seg": 0.09548, "aux.acc_seg": 73.52578, "loss": 0.26682, "time": 0.97551} +{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.17188, "decode.acc_seg": 76.53954, "aux.loss_seg": 0.09494, "aux.acc_seg": 74.81434, "loss": 0.26681, "time": 0.72613} +{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.16988, "decode.acc_seg": 74.28905, "aux.loss_seg": 0.09375, "aux.acc_seg": 72.47309, "loss": 0.26363, "time": 0.72328} +{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.16723, "decode.acc_seg": 74.78774, "aux.loss_seg": 0.09134, "aux.acc_seg": 73.13576, "loss": 0.25856, "time": 0.72528} +{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17948, "decode.acc_seg": 76.55781, "aux.loss_seg": 0.09794, "aux.acc_seg": 74.7633, "loss": 0.27742, "time": 0.72537} +{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17228, "decode.acc_seg": 75.68929, "aux.loss_seg": 0.09503, "aux.acc_seg": 73.908, "loss": 0.26732, "time": 0.72788} +{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17048, "decode.acc_seg": 75.80272, "aux.loss_seg": 0.0927, "aux.acc_seg": 74.19421, "loss": 0.26318, "time": 0.72676} +{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.1718, "decode.acc_seg": 74.64312, "aux.loss_seg": 0.09507, "aux.acc_seg": 72.87909, "loss": 0.26687, "time": 0.72629} +{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.16464, "decode.acc_seg": 74.37804, "aux.loss_seg": 0.08995, "aux.acc_seg": 72.8397, "loss": 0.25459, "time": 0.72969} +{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.17849, "decode.acc_seg": 75.19143, "aux.loss_seg": 0.09864, "aux.acc_seg": 73.37658, "loss": 0.27713, "time": 0.73367} +{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.1806, "decode.acc_seg": 75.12283, "aux.loss_seg": 0.09973, "aux.acc_seg": 73.24756, "loss": 0.28032, "time": 0.73137} +{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17997, "decode.acc_seg": 75.47527, "aux.loss_seg": 0.0979, "aux.acc_seg": 73.812, "loss": 0.27787, "time": 0.72914} +{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.17242, "decode.acc_seg": 74.87039, "aux.loss_seg": 0.09529, "aux.acc_seg": 73.04049, "loss": 0.26771, "time": 0.73324} +{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.18394, "decode.acc_seg": 73.10132, "aux.loss_seg": 0.10057, "aux.acc_seg": 71.33729, "loss": 0.28452, "time": 0.72716} +{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.17864, "decode.acc_seg": 75.07964, "aux.loss_seg": 0.10155, "aux.acc_seg": 73.19784, "loss": 0.28019, "time": 0.72626} +{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17814, "decode.acc_seg": 75.21674, "aux.loss_seg": 0.0966, "aux.acc_seg": 73.52888, "loss": 0.27474, "time": 0.73455} +{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17477, "decode.acc_seg": 74.63119, "aux.loss_seg": 0.09492, "aux.acc_seg": 72.86196, "loss": 0.26969, "time": 0.73313} +{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.17456, "decode.acc_seg": 73.73898, "aux.loss_seg": 0.09581, "aux.acc_seg": 71.93679, "loss": 0.27037, "time": 0.7308} +{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.18608, "decode.acc_seg": 74.03998, "aux.loss_seg": 0.10206, "aux.acc_seg": 72.22253, "loss": 0.28814, "time": 0.73122} +{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.17288, "decode.acc_seg": 75.93501, "aux.loss_seg": 0.09533, "aux.acc_seg": 74.12684, "loss": 0.26821, "time": 0.72981} +{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.18038, "decode.acc_seg": 74.79612, "aux.loss_seg": 0.09805, "aux.acc_seg": 73.09997, "loss": 0.27843, "time": 0.72733} +{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18086, "decode.acc_seg": 75.02664, "aux.loss_seg": 0.0988, "aux.acc_seg": 73.16322, "loss": 0.27966, "time": 0.72584} +{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17439, "decode.acc_seg": 75.07593, "aux.loss_seg": 0.09797, "aux.acc_seg": 73.24831, "loss": 0.27236, "time": 0.72771} +{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.18232, "decode.acc_seg": 74.74457, "aux.loss_seg": 0.09995, "aux.acc_seg": 72.99874, "loss": 0.28227, "time": 0.72407} +{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1729, "decode.acc_seg": 75.41286, "aux.loss_seg": 0.09481, "aux.acc_seg": 73.61339, "loss": 0.26771, "time": 0.73328} +{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 26851, "data_time": 0.24291, "decode.loss_seg": 0.17565, "decode.acc_seg": 76.08054, "aux.loss_seg": 0.09388, "aux.acc_seg": 74.6036, "loss": 0.26953, "time": 0.96424} +{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.17701, "decode.acc_seg": 76.09996, "aux.loss_seg": 0.09736, "aux.acc_seg": 74.32011, "loss": 0.27437, "time": 0.72721} +{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.19102, "decode.acc_seg": 74.91036, "aux.loss_seg": 0.10451, "aux.acc_seg": 73.02494, "loss": 0.29553, "time": 0.73564} +{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.17313, "decode.acc_seg": 75.3805, "aux.loss_seg": 0.09718, "aux.acc_seg": 73.51834, "loss": 0.27031, "time": 0.72762} +{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17102, "decode.acc_seg": 74.27669, "aux.loss_seg": 0.09454, "aux.acc_seg": 72.43839, "loss": 0.26556, "time": 0.7314} +{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18314, "decode.acc_seg": 73.48557, "aux.loss_seg": 0.10033, "aux.acc_seg": 71.71935, "loss": 0.28347, "time": 0.73133} +{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17842, "decode.acc_seg": 75.11197, "aux.loss_seg": 0.0987, "aux.acc_seg": 73.25009, "loss": 0.27712, "time": 0.72944} +{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.96277, "aux.loss_seg": 0.09746, "aux.acc_seg": 74.18175, "loss": 0.27556, "time": 0.7307} +{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.17714, "decode.acc_seg": 74.96507, "aux.loss_seg": 0.09756, "aux.acc_seg": 73.1858, "loss": 0.2747, "time": 0.72624} +{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.18158, "decode.acc_seg": 74.68174, "aux.loss_seg": 0.10167, "aux.acc_seg": 72.6345, "loss": 0.28325, "time": 0.73428} +{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17237, "decode.acc_seg": 74.22926, "aux.loss_seg": 0.09645, "aux.acc_seg": 72.3523, "loss": 0.26882, "time": 0.732} +{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.17301, "decode.acc_seg": 75.44732, "aux.loss_seg": 0.0949, "aux.acc_seg": 73.64059, "loss": 0.26791, "time": 0.72833} +{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.17004, "decode.acc_seg": 73.91745, "aux.loss_seg": 0.093, "aux.acc_seg": 72.35655, "loss": 0.26304, "time": 0.73019} +{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.17505, "decode.acc_seg": 75.04453, "aux.loss_seg": 0.09778, "aux.acc_seg": 73.18715, "loss": 0.27283, "time": 0.72744} +{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.16922, "decode.acc_seg": 74.52965, "aux.loss_seg": 0.09281, "aux.acc_seg": 72.87951, "loss": 0.26203, "time": 0.72527} +{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.17359, "decode.acc_seg": 75.73342, "aux.loss_seg": 0.09589, "aux.acc_seg": 73.87798, "loss": 0.26949, "time": 0.72862} +{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.18554, "decode.acc_seg": 75.04112, "aux.loss_seg": 0.10019, "aux.acc_seg": 73.36972, "loss": 0.28573, "time": 0.728} +{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17576, "decode.acc_seg": 74.35146, "aux.loss_seg": 0.09703, "aux.acc_seg": 72.48008, "loss": 0.27279, "time": 0.7309} +{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.16848, "decode.acc_seg": 74.32519, "aux.loss_seg": 0.09148, "aux.acc_seg": 72.70892, "loss": 0.25996, "time": 0.73} +{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17631, "decode.acc_seg": 74.69249, "aux.loss_seg": 0.09745, "aux.acc_seg": 72.96625, "loss": 0.27375, "time": 0.72491} +{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.17445, "decode.acc_seg": 73.68454, "aux.loss_seg": 0.09849, "aux.acc_seg": 71.83119, "loss": 0.27294, "time": 0.729} +{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.17834, "decode.acc_seg": 74.33041, "aux.loss_seg": 0.09791, "aux.acc_seg": 72.61106, "loss": 0.27625, "time": 0.7285} +{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.17664, "decode.acc_seg": 75.07554, "aux.loss_seg": 0.09634, "aux.acc_seg": 73.29172, "loss": 0.27298, "time": 0.73327} +{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.17316, "decode.acc_seg": 75.1902, "aux.loss_seg": 0.09312, "aux.acc_seg": 73.63237, "loss": 0.26628, "time": 0.73227} +{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.17131, "decode.acc_seg": 74.18362, "aux.loss_seg": 0.09452, "aux.acc_seg": 72.40002, "loss": 0.26584, "time": 0.73173} +{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.18332, "decode.acc_seg": 74.11551, "aux.loss_seg": 0.09843, "aux.acc_seg": 72.35541, "loss": 0.28176, "time": 0.73242} +{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 26851, "data_time": 0.24559, "decode.loss_seg": 0.17827, "decode.acc_seg": 74.85544, "aux.loss_seg": 0.09947, "aux.acc_seg": 72.99202, "loss": 0.27774, "time": 0.96195} +{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.17716, "decode.acc_seg": 75.4368, "aux.loss_seg": 0.0977, "aux.acc_seg": 73.72858, "loss": 0.27486, "time": 0.72325} +{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.18379, "decode.acc_seg": 74.41139, "aux.loss_seg": 0.10212, "aux.acc_seg": 72.48402, "loss": 0.28591, "time": 0.72715} +{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.17356, "decode.acc_seg": 74.74733, "aux.loss_seg": 0.09401, "aux.acc_seg": 73.15228, "loss": 0.26757, "time": 0.73819} +{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.18086, "decode.acc_seg": 76.53635, "aux.loss_seg": 0.10036, "aux.acc_seg": 74.73415, "loss": 0.28122, "time": 0.72797} +{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.51444, "aux.loss_seg": 0.09215, "aux.acc_seg": 73.79364, "loss": 0.26053, "time": 0.73503} +{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.16625, "decode.acc_seg": 74.49379, "aux.loss_seg": 0.09361, "aux.acc_seg": 72.66686, "loss": 0.25986, "time": 0.72976} +{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.18336, "decode.acc_seg": 75.72918, "aux.loss_seg": 0.10114, "aux.acc_seg": 73.89279, "loss": 0.2845, "time": 0.7247} +{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.16568, "decode.acc_seg": 74.00826, "aux.loss_seg": 0.09087, "aux.acc_seg": 72.39404, "loss": 0.25655, "time": 0.72567} +{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.16167, "decode.acc_seg": 73.65207, "aux.loss_seg": 0.0894, "aux.acc_seg": 71.97034, "loss": 0.25107, "time": 0.7299} +{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.17489, "decode.acc_seg": 75.58259, "aux.loss_seg": 0.09662, "aux.acc_seg": 73.75542, "loss": 0.2715, "time": 0.73663} +{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.17763, "decode.acc_seg": 74.50921, "aux.loss_seg": 0.09791, "aux.acc_seg": 72.64721, "loss": 0.27554, "time": 0.72825} +{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.16799, "decode.acc_seg": 75.82528, "aux.loss_seg": 0.09393, "aux.acc_seg": 74.04982, "loss": 0.26192, "time": 0.73037} +{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.17562, "decode.acc_seg": 75.19247, "aux.loss_seg": 0.09647, "aux.acc_seg": 73.42274, "loss": 0.27209, "time": 0.72446} +{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.1727, "decode.acc_seg": 74.2375, "aux.loss_seg": 0.09845, "aux.acc_seg": 72.36842, "loss": 0.27115, "time": 0.7288} +{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.187, "decode.acc_seg": 75.48394, "aux.loss_seg": 0.0998, "aux.acc_seg": 73.80489, "loss": 0.2868, "time": 0.73166} +{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16833, "decode.acc_seg": 73.56955, "aux.loss_seg": 0.09147, "aux.acc_seg": 71.96456, "loss": 0.2598, "time": 0.72927} +{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.17375, "decode.acc_seg": 75.74421, "aux.loss_seg": 0.09475, "aux.acc_seg": 74.07653, "loss": 0.2685, "time": 0.73384} +{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17655, "decode.acc_seg": 73.89531, "aux.loss_seg": 0.09519, "aux.acc_seg": 72.23249, "loss": 0.27174, "time": 0.72959} +{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.1766, "decode.acc_seg": 74.13386, "aux.loss_seg": 0.09825, "aux.acc_seg": 72.3439, "loss": 0.27485, "time": 0.72825} +{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.17934, "decode.acc_seg": 75.71322, "aux.loss_seg": 0.09986, "aux.acc_seg": 73.82565, "loss": 0.2792, "time": 0.72525} +{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.16854, "decode.acc_seg": 74.23694, "aux.loss_seg": 0.09245, "aux.acc_seg": 72.55782, "loss": 0.26099, "time": 0.72323} +{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.17285, "decode.acc_seg": 75.54352, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.6631, "loss": 0.26916, "time": 0.73001} +{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.17548, "decode.acc_seg": 75.11298, "aux.loss_seg": 0.09815, "aux.acc_seg": 73.35029, "loss": 0.27363, "time": 0.72794} +{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.17651, "decode.acc_seg": 74.26674, "aux.loss_seg": 0.0964, "aux.acc_seg": 72.52902, "loss": 0.27291, "time": 0.73253} +{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 26851, "data_time": 0.24442, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.37686, "aux.loss_seg": 0.09448, "aux.acc_seg": 73.61746, "loss": 0.26412, "time": 0.96822} +{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.17316, "decode.acc_seg": 74.28718, "aux.loss_seg": 0.09637, "aux.acc_seg": 72.45044, "loss": 0.26953, "time": 0.72911} +{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17571, "decode.acc_seg": 74.3909, "aux.loss_seg": 0.09753, "aux.acc_seg": 72.5397, "loss": 0.27324, "time": 0.72684} +{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.1688, "decode.acc_seg": 75.1129, "aux.loss_seg": 0.09369, "aux.acc_seg": 73.37741, "loss": 0.26249, "time": 0.72549} +{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.16358, "decode.acc_seg": 75.10792, "aux.loss_seg": 0.09092, "aux.acc_seg": 73.41158, "loss": 0.2545, "time": 0.73378} +{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17606, "decode.acc_seg": 73.84983, "aux.loss_seg": 0.09575, "aux.acc_seg": 72.12484, "loss": 0.27181, "time": 0.73271} +{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.1791, "decode.acc_seg": 75.63052, "aux.loss_seg": 0.09943, "aux.acc_seg": 73.88279, "loss": 0.27854, "time": 0.73202} +{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.17127, "decode.acc_seg": 76.47822, "aux.loss_seg": 0.09422, "aux.acc_seg": 74.79229, "loss": 0.26549, "time": 0.72961} +{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.1783, "decode.acc_seg": 74.4228, "aux.loss_seg": 0.09848, "aux.acc_seg": 72.50675, "loss": 0.27678, "time": 0.72921} +{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.17312, "decode.acc_seg": 74.21634, "aux.loss_seg": 0.0967, "aux.acc_seg": 72.32224, "loss": 0.26982, "time": 0.72898} +{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17051, "decode.acc_seg": 75.73271, "aux.loss_seg": 0.09754, "aux.acc_seg": 73.76204, "loss": 0.26805, "time": 0.72502} +{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.1619, "decode.acc_seg": 73.76524, "aux.loss_seg": 0.08992, "aux.acc_seg": 72.04684, "loss": 0.25182, "time": 0.72638} +{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17925, "decode.acc_seg": 75.80787, "aux.loss_seg": 0.09734, "aux.acc_seg": 74.07361, "loss": 0.27659, "time": 0.73305} +{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.16906, "decode.acc_seg": 73.46522, "aux.loss_seg": 0.09271, "aux.acc_seg": 71.7984, "loss": 0.26177, "time": 0.73109} +{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17568, "decode.acc_seg": 74.96465, "aux.loss_seg": 0.09572, "aux.acc_seg": 73.30905, "loss": 0.2714, "time": 0.72986} +{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.16598, "decode.acc_seg": 73.6383, "aux.loss_seg": 0.09276, "aux.acc_seg": 71.83538, "loss": 0.25874, "time": 0.72519} +{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.17257, "decode.acc_seg": 74.51567, "aux.loss_seg": 0.09416, "aux.acc_seg": 72.79189, "loss": 0.26673, "time": 0.72875} +{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.17252, "decode.acc_seg": 74.11124, "aux.loss_seg": 0.09502, "aux.acc_seg": 72.3605, "loss": 0.26754, "time": 0.72995} +{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.1788, "decode.acc_seg": 76.05624, "aux.loss_seg": 0.09707, "aux.acc_seg": 74.36194, "loss": 0.27587, "time": 0.73025} +{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.17306, "decode.acc_seg": 73.72069, "aux.loss_seg": 0.09496, "aux.acc_seg": 71.98916, "loss": 0.26802, "time": 0.72607} +{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.17023, "decode.acc_seg": 74.63907, "aux.loss_seg": 0.09452, "aux.acc_seg": 72.93617, "loss": 0.26474, "time": 0.72361} +{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1731, "decode.acc_seg": 76.34495, "aux.loss_seg": 0.096, "aux.acc_seg": 74.51343, "loss": 0.2691, "time": 0.72896} +{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17915, "decode.acc_seg": 73.96092, "aux.loss_seg": 0.1, "aux.acc_seg": 72.04981, "loss": 0.27915, "time": 0.73107} +{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17282, "decode.acc_seg": 76.34425, "aux.loss_seg": 0.09469, "aux.acc_seg": 74.52311, "loss": 0.2675, "time": 0.72997} +{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.16619, "decode.acc_seg": 73.5717, "aux.loss_seg": 0.09224, "aux.acc_seg": 71.82829, "loss": 0.25843, "time": 0.73266} +{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4731, "mAcc": 0.5916, "aAcc": 0.8216, "IoU.wall": 0.7618, "IoU.building": 0.814, "IoU.sky": 0.9383, "IoU.floor": 0.812, "IoU.tree": 0.7361, "IoU.ceiling": 0.8331, "IoU.road": 0.8303, "IoU.bed ": 0.8672, "IoU.windowpane": 0.5998, "IoU.grass": 0.6557, "IoU.cabinet": 0.5926, "IoU.sidewalk": 0.6483, "IoU.person": 0.7765, "IoU.earth": 0.3751, "IoU.door": 0.433, "IoU.table": 0.5839, "IoU.mountain": 0.5485, "IoU.plant": 0.5133, "IoU.curtain": 0.7225, "IoU.chair": 0.5485, "IoU.car": 0.8199, "IoU.water": 0.4934, "IoU.painting": 0.7177, "IoU.sofa": 0.6085, "IoU.shelf": 0.4329, "IoU.house": 0.3996, "IoU.sea": 0.4994, "IoU.mirror": 0.6244, "IoU.rug": 0.6444, "IoU.field": 0.2937, "IoU.armchair": 0.4278, "IoU.seat": 0.6269, "IoU.fence": 0.4119, "IoU.desk": 0.4694, "IoU.rock": 0.3608, "IoU.wardrobe": 0.4667, "IoU.lamp": 0.6025, "IoU.bathtub": 0.7649, "IoU.railing": 0.3642, "IoU.cushion": 0.5218, "IoU.base": 0.2933, "IoU.box": 0.2782, "IoU.column": 0.4195, "IoU.signboard": 0.3751, "IoU.chest of drawers": 0.3697, "IoU.counter": 0.343, "IoU.sand": 0.509, "IoU.sink": 0.707, "IoU.skyscraper": 0.4942, "IoU.fireplace": NaN, "IoU.refrigerator": 0.711, "IoU.grandstand": 0.4027, "IoU.path": 0.2874, "IoU.stairs": 0.2792, "IoU.runway": 0.7276, "IoU.case": 0.4628, "IoU.pool table": 0.9136, "IoU.pillow": 0.5543, "IoU.screen door": 0.6568, "IoU.stairway": 0.2721, "IoU.river": 0.1546, "IoU.bridge": 0.6948, "IoU.bookcase": 0.4595, "IoU.blind": NaN, "IoU.coffee table": 0.5436, "IoU.toilet": 0.8156, "IoU.flower": 0.4207, "IoU.book": 0.4543, "IoU.hill": 0.0724, "IoU.bench": 0.457, "IoU.countertop": 0.5125, "IoU.stove": 0.7001, "IoU.palm": 0.4847, "IoU.kitchen island": 0.3665, "IoU.computer": 0.6478, "IoU.swivel chair": 0.4312, "IoU.boat": 0.4122, "IoU.bar": 0.318, "IoU.arcade machine": 0.512, "IoU.hovel": 0.1596, "IoU.bus": 0.8388, "IoU.towel": 0.6328, "IoU.light": 0.5562, "IoU.truck": 0.1932, "IoU.tower": 0.0714, "IoU.chandelier": 0.6593, "IoU.awning": 0.292, "IoU.streetlight": 0.2166, "IoU.booth": 0.585, "IoU.television receiver": NaN, "IoU.airplane": 0.5765, "IoU.dirt track": 0.0891, "IoU.apparel": 0.2979, "IoU.pole": 0.179, "IoU.land": 0.0148, "IoU.bannister": 0.0931, "IoU.escalator": 0.2885, "IoU.ottoman": 0.388, "IoU.bottle": NaN, "IoU.buffet": 0.3167, "IoU.poster": 0.2713, "IoU.stage": 0.2174, "IoU.van": 0.3818, "IoU.ship": 0.5707, "IoU.fountain": 0.3408, "IoU.conveyer belt": 0.7751, "IoU.canopy": 0.1734, "IoU.washer": 0.6882, "IoU.plaything": 0.2444, "IoU.swimming pool": 0.6776, "IoU.stool": 0.3676, "IoU.barrel": 0.5416, "IoU.basket": 0.3271, "IoU.waterfall": 0.5015, "IoU.tent": 0.7793, "IoU.bag": 0.1167, "IoU.minibike": 0.7073, "IoU.cradle": NaN, "IoU.oven": 0.3409, "IoU.ball": 0.3907, "IoU.food": 0.5905, "IoU.step": 0.0758, "IoU.tank": 0.479, "IoU.trade name": 0.276, "IoU.microwave": 0.7012, "IoU.pot": 0.4956, "IoU.animal": NaN, "IoU.bicycle": 0.5378, "IoU.lake": 0.4767, "IoU.dishwasher": 0.537, "IoU.screen": 0.6993, "IoU.blanket": 0.1627, "IoU.sculpture": 0.664, "IoU.hood": 0.5628, "IoU.sconce": 0.4134, "IoU.vase": 0.3825, "IoU.traffic light": 0.2809, "IoU.tray": 0.0862, "IoU.ashcan": 0.3526, "IoU.fan": 0.5926, "IoU.pier": 0.4808, "IoU.crt screen": 0.0597, "IoU.plate": 0.5656, "IoU.monitor": 0.101, "IoU.bulletin board": 0.378, "IoU.shower": 0.0249, "IoU.radiator": 0.572, "IoU.glass": 0.1346, "IoU.clock": 0.3877, "IoU.flag": 0.5435, "Acc.wall": 0.8784, "Acc.building": 0.93, "Acc.sky": 0.9717, "Acc.floor": 0.8944, "Acc.tree": 0.8669, "Acc.ceiling": 0.9107, "Acc.road": 0.8854, "Acc.bed ": 0.9518, "Acc.windowpane": 0.7855, "Acc.grass": 0.8185, "Acc.cabinet": 0.7405, "Acc.sidewalk": 0.833, "Acc.person": 0.9181, "Acc.earth": 0.5046, "Acc.door": 0.5506, "Acc.table": 0.752, "Acc.mountain": 0.7039, "Acc.plant": 0.6267, "Acc.curtain": 0.8322, "Acc.chair": 0.684, "Acc.car": 0.8996, "Acc.water": 0.6439, "Acc.painting": 0.8627, "Acc.sofa": 0.7902, "Acc.shelf": 0.5994, "Acc.house": 0.5076, "Acc.sea": 0.7658, "Acc.mirror": 0.7081, "Acc.rug": 0.7575, "Acc.field": 0.475, "Acc.armchair": 0.6149, "Acc.seat": 0.8368, "Acc.fence": 0.5414, "Acc.desk": 0.6598, "Acc.rock": 0.5872, "Acc.wardrobe": 0.6033, "Acc.lamp": 0.742, "Acc.bathtub": 0.8219, "Acc.railing": 0.4951, "Acc.cushion": 0.6667, "Acc.base": 0.3731, "Acc.box": 0.3904, "Acc.column": 0.5527, "Acc.signboard": 0.5215, "Acc.chest of drawers": 0.5745, "Acc.counter": 0.4037, "Acc.sand": 0.6957, "Acc.sink": 0.802, "Acc.skyscraper": 0.5988, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7867, "Acc.grandstand": 0.6141, "Acc.path": 0.4167, "Acc.stairs": 0.3323, "Acc.runway": 0.9393, "Acc.case": 0.619, "Acc.pool table": 0.9648, "Acc.pillow": 0.6651, "Acc.screen door": 0.7435, "Acc.stairway": 0.3663, "Acc.river": 0.2728, "Acc.bridge": 0.8179, "Acc.bookcase": 0.5783, "Acc.blind": NaN, "Acc.coffee table": 0.7656, "Acc.toilet": 0.8771, "Acc.flower": 0.5886, "Acc.book": 0.663, "Acc.hill": 0.1382, "Acc.bench": 0.5499, "Acc.countertop": 0.702, "Acc.stove": 0.8021, "Acc.palm": 0.7049, "Acc.kitchen island": 0.6939, "Acc.computer": 0.7845, "Acc.swivel chair": 0.5784, "Acc.boat": 0.4791, "Acc.bar": 0.4028, "Acc.arcade machine": 0.5595, "Acc.hovel": 0.1869, "Acc.bus": 0.9595, "Acc.towel": 0.8154, "Acc.light": 0.6438, "Acc.truck": 0.2793, "Acc.tower": 0.1057, "Acc.chandelier": 0.834, "Acc.awning": 0.3464, "Acc.streetlight": 0.289, "Acc.booth": 0.6756, "Acc.television receiver": NaN, "Acc.airplane": 0.6472, "Acc.dirt track": 0.1826, "Acc.apparel": 0.4368, "Acc.pole": 0.2506, "Acc.land": 0.0213, "Acc.bannister": 0.1171, "Acc.escalator": 0.3144, "Acc.ottoman": 0.5669, "Acc.bottle": NaN, "Acc.buffet": 0.3638, "Acc.poster": 0.3624, "Acc.stage": 0.2752, "Acc.van": 0.5826, "Acc.ship": 0.9692, "Acc.fountain": 0.3506, "Acc.conveyer belt": 0.8713, "Acc.canopy": 0.2125, "Acc.washer": 0.7462, "Acc.plaything": 0.3788, "Acc.swimming pool": 0.7353, "Acc.stool": 0.5118, "Acc.barrel": 0.7016, "Acc.basket": 0.4506, "Acc.waterfall": 0.6137, "Acc.tent": 0.9813, "Acc.bag": 0.1495, "Acc.minibike": 0.8611, "Acc.cradle": NaN, "Acc.oven": 0.4286, "Acc.ball": 0.4204, "Acc.food": 0.6898, "Acc.step": 0.0885, "Acc.tank": 0.5497, "Acc.trade name": 0.331, "Acc.microwave": 0.7952, "Acc.pot": 0.5537, "Acc.animal": NaN, "Acc.bicycle": 0.7612, "Acc.lake": 0.5515, "Acc.dishwasher": 0.6875, "Acc.screen": 0.9136, "Acc.blanket": 0.1903, "Acc.sculpture": 0.794, "Acc.hood": 0.6603, "Acc.sconce": 0.5014, "Acc.vase": 0.5216, "Acc.traffic light": 0.4055, "Acc.tray": 0.1473, "Acc.ashcan": 0.4677, "Acc.fan": 0.7301, "Acc.pier": 0.7947, "Acc.crt screen": 0.1672, "Acc.plate": 0.7442, "Acc.monitor": 0.1284, "Acc.bulletin board": 0.5253, "Acc.shower": 0.0341, "Acc.radiator": 0.6505, "Acc.glass": 0.1439, "Acc.clock": 0.4815, "Acc.flag": 0.6098} +{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 26851, "data_time": 1.85085, "decode.loss_seg": 0.17432, "decode.acc_seg": 73.59874, "aux.loss_seg": 0.09738, "aux.acc_seg": 71.67572, "loss": 0.27171, "time": 2.57048} +{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.17327, "decode.acc_seg": 75.46306, "aux.loss_seg": 0.09539, "aux.acc_seg": 73.71592, "loss": 0.26866, "time": 0.73321} +{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.17412, "decode.acc_seg": 74.36019, "aux.loss_seg": 0.09528, "aux.acc_seg": 72.59739, "loss": 0.2694, "time": 0.72776} +{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.17122, "decode.acc_seg": 74.22514, "aux.loss_seg": 0.09327, "aux.acc_seg": 72.54269, "loss": 0.2645, "time": 0.72928} +{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.17088, "decode.acc_seg": 75.0286, "aux.loss_seg": 0.09667, "aux.acc_seg": 73.26058, "loss": 0.26755, "time": 0.73182} +{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.17973, "decode.acc_seg": 75.32892, "aux.loss_seg": 0.09872, "aux.acc_seg": 73.5037, "loss": 0.27844, "time": 0.72945} +{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.17617, "decode.acc_seg": 74.04079, "aux.loss_seg": 0.09831, "aux.acc_seg": 72.22324, "loss": 0.27447, "time": 0.72568} +{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 26851, "data_time": 0.00739, "decode.loss_seg": 0.16139, "decode.acc_seg": 75.14277, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.3654, "loss": 0.25159, "time": 0.72758} +{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.16646, "decode.acc_seg": 73.34424, "aux.loss_seg": 0.09182, "aux.acc_seg": 71.62907, "loss": 0.25828, "time": 0.72788} +{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.16584, "decode.acc_seg": 74.59536, "aux.loss_seg": 0.09062, "aux.acc_seg": 72.92654, "loss": 0.25646, "time": 0.73404} +{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.18142, "decode.acc_seg": 74.83643, "aux.loss_seg": 0.09923, "aux.acc_seg": 73.07583, "loss": 0.28064, "time": 0.72877} +{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.18047, "decode.acc_seg": 75.31487, "aux.loss_seg": 0.10021, "aux.acc_seg": 73.47842, "loss": 0.28068, "time": 0.73154} +{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.17513, "decode.acc_seg": 74.34231, "aux.loss_seg": 0.09467, "aux.acc_seg": 72.71016, "loss": 0.26981, "time": 0.72739} +{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.17347, "decode.acc_seg": 75.54126, "aux.loss_seg": 0.09773, "aux.acc_seg": 73.65276, "loss": 0.2712, "time": 0.72407} +{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.17976, "decode.acc_seg": 74.47958, "aux.loss_seg": 0.09846, "aux.acc_seg": 72.68062, "loss": 0.27822, "time": 0.72978} +{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.16511, "decode.acc_seg": 75.51502, "aux.loss_seg": 0.0921, "aux.acc_seg": 73.7164, "loss": 0.25721, "time": 0.72913} +{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 26851, "data_time": 0.00752, "decode.loss_seg": 0.18005, "decode.acc_seg": 74.17264, "aux.loss_seg": 0.09948, "aux.acc_seg": 72.3894, "loss": 0.27952, "time": 0.72871} +{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.17279, "decode.acc_seg": 76.34509, "aux.loss_seg": 0.09299, "aux.acc_seg": 74.78666, "loss": 0.26579, "time": 0.73947} +{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.1797, "decode.acc_seg": 75.38318, "aux.loss_seg": 0.09693, "aux.acc_seg": 73.69141, "loss": 0.27663, "time": 0.7265} +{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.17512, "decode.acc_seg": 76.01525, "aux.loss_seg": 0.09465, "aux.acc_seg": 74.40122, "loss": 0.26977, "time": 0.72368} +{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.17941, "decode.acc_seg": 75.6446, "aux.loss_seg": 0.0986, "aux.acc_seg": 73.88, "loss": 0.27801, "time": 0.72868} +{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.17193, "decode.acc_seg": 74.13983, "aux.loss_seg": 0.09659, "aux.acc_seg": 72.25909, "loss": 0.26852, "time": 0.72804} +{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.16837, "decode.acc_seg": 75.11281, "aux.loss_seg": 0.09455, "aux.acc_seg": 73.26196, "loss": 0.26292, "time": 0.72916} +{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.17196, "decode.acc_seg": 74.25264, "aux.loss_seg": 0.09566, "aux.acc_seg": 72.37291, "loss": 0.26762, "time": 0.72346} +{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 26851, "data_time": 0.24562, "decode.loss_seg": 0.18288, "decode.acc_seg": 75.59479, "aux.loss_seg": 0.09888, "aux.acc_seg": 73.84281, "loss": 0.28176, "time": 0.95936} +{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17765, "decode.acc_seg": 73.68123, "aux.loss_seg": 0.09766, "aux.acc_seg": 71.92331, "loss": 0.2753, "time": 0.73696} +{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.16565, "decode.acc_seg": 74.70191, "aux.loss_seg": 0.09061, "aux.acc_seg": 73.02144, "loss": 0.25626, "time": 0.73304} +{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.17795, "decode.acc_seg": 74.70633, "aux.loss_seg": 0.09696, "aux.acc_seg": 72.96904, "loss": 0.27491, "time": 0.73114} +{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.16893, "decode.acc_seg": 73.93328, "aux.loss_seg": 0.09251, "aux.acc_seg": 72.26701, "loss": 0.26144, "time": 0.732} +{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.17097, "decode.acc_seg": 76.24203, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.42477, "loss": 0.26576, "time": 0.72472} +{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16765, "decode.acc_seg": 73.89735, "aux.loss_seg": 0.09337, "aux.acc_seg": 72.0975, "loss": 0.26102, "time": 0.73152} +{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17762, "decode.acc_seg": 74.04073, "aux.loss_seg": 0.0954, "aux.acc_seg": 72.45707, "loss": 0.27302, "time": 0.72778} +{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.16684, "decode.acc_seg": 75.46478, "aux.loss_seg": 0.09316, "aux.acc_seg": 73.67884, "loss": 0.26, "time": 0.73034} +{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18056, "decode.acc_seg": 75.37388, "aux.loss_seg": 0.09943, "aux.acc_seg": 73.63149, "loss": 0.27999, "time": 0.7297} +{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.17261, "decode.acc_seg": 73.47485, "aux.loss_seg": 0.09396, "aux.acc_seg": 71.77232, "loss": 0.26658, "time": 0.72629} +{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.16892, "decode.acc_seg": 74.63308, "aux.loss_seg": 0.09362, "aux.acc_seg": 72.77289, "loss": 0.26254, "time": 0.7328} +{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.17056, "decode.acc_seg": 75.11064, "aux.loss_seg": 0.09464, "aux.acc_seg": 73.3374, "loss": 0.26519, "time": 0.72933} +{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17317, "decode.acc_seg": 75.65675, "aux.loss_seg": 0.09663, "aux.acc_seg": 73.92727, "loss": 0.2698, "time": 0.72679} +{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.1728, "decode.acc_seg": 75.81261, "aux.loss_seg": 0.095, "aux.acc_seg": 74.12175, "loss": 0.2678, "time": 0.72298} +{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17545, "decode.acc_seg": 73.55851, "aux.loss_seg": 0.09491, "aux.acc_seg": 71.92677, "loss": 0.27036, "time": 0.72816} +{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.1737, "decode.acc_seg": 74.80654, "aux.loss_seg": 0.09445, "aux.acc_seg": 73.12666, "loss": 0.26815, "time": 0.72879} +{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17539, "decode.acc_seg": 76.25225, "aux.loss_seg": 0.09691, "aux.acc_seg": 74.37746, "loss": 0.2723, "time": 0.73114} +{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.18434, "decode.acc_seg": 74.38198, "aux.loss_seg": 0.10119, "aux.acc_seg": 72.57634, "loss": 0.28553, "time": 0.73288} +{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.17533, "decode.acc_seg": 75.78661, "aux.loss_seg": 0.09656, "aux.acc_seg": 73.96404, "loss": 0.2719, "time": 0.7376} +{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.16705, "decode.acc_seg": 74.35004, "aux.loss_seg": 0.09277, "aux.acc_seg": 72.50616, "loss": 0.25981, "time": 0.72451} +{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.17576, "decode.acc_seg": 74.68003, "aux.loss_seg": 0.09853, "aux.acc_seg": 72.7105, "loss": 0.2743, "time": 0.72461} +{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.17571, "decode.acc_seg": 77.09153, "aux.loss_seg": 0.09559, "aux.acc_seg": 75.35751, "loss": 0.2713, "time": 0.72758} +{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.17633, "decode.acc_seg": 74.86688, "aux.loss_seg": 0.09736, "aux.acc_seg": 73.14574, "loss": 0.27369, "time": 0.72915} +{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.16901, "decode.acc_seg": 74.08122, "aux.loss_seg": 0.09282, "aux.acc_seg": 72.45203, "loss": 0.26182, "time": 0.73076} +{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.17503, "decode.acc_seg": 76.33766, "aux.loss_seg": 0.09618, "aux.acc_seg": 74.63357, "loss": 0.27122, "time": 0.72925} +{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 26851, "data_time": 0.25006, "decode.loss_seg": 0.18257, "decode.acc_seg": 75.76364, "aux.loss_seg": 0.10065, "aux.acc_seg": 73.88722, "loss": 0.28322, "time": 0.9725} +{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.17292, "decode.acc_seg": 75.27425, "aux.loss_seg": 0.09566, "aux.acc_seg": 73.46506, "loss": 0.26859, "time": 0.73201} +{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.17461, "decode.acc_seg": 74.5542, "aux.loss_seg": 0.09563, "aux.acc_seg": 72.7903, "loss": 0.27025, "time": 0.72925} +{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.17556, "decode.acc_seg": 74.6874, "aux.loss_seg": 0.09771, "aux.acc_seg": 72.91251, "loss": 0.27327, "time": 0.72659} +{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.16779, "decode.acc_seg": 75.40335, "aux.loss_seg": 0.09365, "aux.acc_seg": 73.6411, "loss": 0.26144, "time": 0.7233} +{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.1785, "decode.acc_seg": 73.76383, "aux.loss_seg": 0.09698, "aux.acc_seg": 72.01557, "loss": 0.27547, "time": 0.72906} +{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.16635, "decode.acc_seg": 75.05639, "aux.loss_seg": 0.09331, "aux.acc_seg": 73.32738, "loss": 0.25966, "time": 0.72771} +{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.17214, "decode.acc_seg": 75.27621, "aux.loss_seg": 0.09488, "aux.acc_seg": 73.46284, "loss": 0.26702, "time": 0.73306} +{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.16976, "decode.acc_seg": 73.9805, "aux.loss_seg": 0.09301, "aux.acc_seg": 72.23847, "loss": 0.26277, "time": 0.72985} +{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.17004, "decode.acc_seg": 74.07829, "aux.loss_seg": 0.09422, "aux.acc_seg": 72.31995, "loss": 0.26426, "time": 0.7257} +{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.16466, "decode.acc_seg": 72.67047, "aux.loss_seg": 0.09349, "aux.acc_seg": 70.85124, "loss": 0.25815, "time": 0.72871} +{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.17158, "decode.acc_seg": 74.44367, "aux.loss_seg": 0.09415, "aux.acc_seg": 72.67797, "loss": 0.26573, "time": 0.72932} +{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17305, "decode.acc_seg": 73.87987, "aux.loss_seg": 0.09406, "aux.acc_seg": 72.1622, "loss": 0.26711, "time": 0.72842} +{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.17642, "decode.acc_seg": 74.9783, "aux.loss_seg": 0.09539, "aux.acc_seg": 73.28924, "loss": 0.27181, "time": 0.72562} +{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.17127, "decode.acc_seg": 76.71593, "aux.loss_seg": 0.0959, "aux.acc_seg": 74.88442, "loss": 0.26717, "time": 0.72936} +{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.18717, "decode.acc_seg": 75.99881, "aux.loss_seg": 0.10252, "aux.acc_seg": 74.12174, "loss": 0.28969, "time": 0.72987} +{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.16689, "decode.acc_seg": 76.07256, "aux.loss_seg": 0.09346, "aux.acc_seg": 74.3045, "loss": 0.26035, "time": 0.73224} +{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 26851, "data_time": 0.00716, "decode.loss_seg": 0.16443, "decode.acc_seg": 76.66628, "aux.loss_seg": 0.09175, "aux.acc_seg": 74.93085, "loss": 0.25617, "time": 0.73112} +{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.16817, "decode.acc_seg": 74.96542, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.21085, "loss": 0.26127, "time": 0.72878} +{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.17646, "decode.acc_seg": 75.62667, "aux.loss_seg": 0.09727, "aux.acc_seg": 73.87211, "loss": 0.27373, "time": 0.72089} +{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.17195, "decode.acc_seg": 74.74684, "aux.loss_seg": 0.09452, "aux.acc_seg": 72.99358, "loss": 0.26647, "time": 0.72583} +{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.18576, "decode.acc_seg": 75.37338, "aux.loss_seg": 0.10179, "aux.acc_seg": 73.47503, "loss": 0.28756, "time": 0.736} +{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.61326, "aux.loss_seg": 0.09451, "aux.acc_seg": 73.79858, "loss": 0.26414, "time": 0.73708} +{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 26851, "data_time": 0.0074, "decode.loss_seg": 0.16693, "decode.acc_seg": 73.53735, "aux.loss_seg": 0.09209, "aux.acc_seg": 71.84267, "loss": 0.25902, "time": 0.72965} +{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16327, "decode.acc_seg": 75.66554, "aux.loss_seg": 0.08996, "aux.acc_seg": 74.00273, "loss": 0.25323, "time": 0.72313} +{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 26851, "data_time": 0.23024, "decode.loss_seg": 0.17194, "decode.acc_seg": 74.7, "aux.loss_seg": 0.09598, "aux.acc_seg": 72.95477, "loss": 0.26793, "time": 0.9461} +{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.16335, "decode.acc_seg": 75.65851, "aux.loss_seg": 0.09182, "aux.acc_seg": 73.89948, "loss": 0.25516, "time": 0.72456} +{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.16737, "decode.acc_seg": 76.28555, "aux.loss_seg": 0.09211, "aux.acc_seg": 74.50421, "loss": 0.25948, "time": 0.72917} +{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.16818, "decode.acc_seg": 75.0694, "aux.loss_seg": 0.09294, "aux.acc_seg": 73.31394, "loss": 0.26113, "time": 0.72945} +{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.17441, "decode.acc_seg": 74.51021, "aux.loss_seg": 0.09548, "aux.acc_seg": 72.85062, "loss": 0.26989, "time": 0.72833} +{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18108, "decode.acc_seg": 75.01647, "aux.loss_seg": 0.10061, "aux.acc_seg": 73.14124, "loss": 0.2817, "time": 0.73001} +{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.16316, "decode.acc_seg": 74.02603, "aux.loss_seg": 0.09034, "aux.acc_seg": 72.29193, "loss": 0.25349, "time": 0.73189} +{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.1688, "decode.acc_seg": 75.50164, "aux.loss_seg": 0.09269, "aux.acc_seg": 73.79599, "loss": 0.26149, "time": 0.73199} +{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17547, "decode.acc_seg": 74.76632, "aux.loss_seg": 0.09615, "aux.acc_seg": 73.08099, "loss": 0.27162, "time": 0.72882} +{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.17283, "decode.acc_seg": 74.99645, "aux.loss_seg": 0.09672, "aux.acc_seg": 73.2112, "loss": 0.26955, "time": 0.72654} +{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17158, "decode.acc_seg": 75.56831, "aux.loss_seg": 0.09524, "aux.acc_seg": 73.87607, "loss": 0.26681, "time": 0.72486} +{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.17138, "decode.acc_seg": 74.06331, "aux.loss_seg": 0.09446, "aux.acc_seg": 72.33926, "loss": 0.26584, "time": 0.72865} +{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16662, "decode.acc_seg": 74.3652, "aux.loss_seg": 0.0928, "aux.acc_seg": 72.65019, "loss": 0.25943, "time": 0.73019} +{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.16906, "decode.acc_seg": 75.71643, "aux.loss_seg": 0.09448, "aux.acc_seg": 73.86358, "loss": 0.26353, "time": 0.72789} +{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.17523, "decode.acc_seg": 75.05189, "aux.loss_seg": 0.09614, "aux.acc_seg": 73.3183, "loss": 0.27137, "time": 0.72847} +{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1703, "decode.acc_seg": 75.30682, "aux.loss_seg": 0.09299, "aux.acc_seg": 73.64872, "loss": 0.26329, "time": 0.72655} +{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.17206, "decode.acc_seg": 75.02987, "aux.loss_seg": 0.09673, "aux.acc_seg": 73.22331, "loss": 0.26879, "time": 0.72602} +{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17823, "decode.acc_seg": 75.12669, "aux.loss_seg": 0.09928, "aux.acc_seg": 73.25583, "loss": 0.27751, "time": 0.7326} +{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.36828, "aux.loss_seg": 0.09435, "aux.acc_seg": 73.58166, "loss": 0.26399, "time": 0.73369} +{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.16791, "decode.acc_seg": 75.3023, "aux.loss_seg": 0.09211, "aux.acc_seg": 73.66465, "loss": 0.26002, "time": 0.72884} +{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.17581, "decode.acc_seg": 75.71968, "aux.loss_seg": 0.09945, "aux.acc_seg": 73.72606, "loss": 0.27525, "time": 0.72572} +{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.17181, "decode.acc_seg": 75.39175, "aux.loss_seg": 0.09606, "aux.acc_seg": 73.59768, "loss": 0.26787, "time": 0.72281} +{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.179, "decode.acc_seg": 74.69878, "aux.loss_seg": 0.09872, "aux.acc_seg": 72.81688, "loss": 0.27773, "time": 0.73215} +{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.1681, "decode.acc_seg": 74.59781, "aux.loss_seg": 0.09322, "aux.acc_seg": 72.86009, "loss": 0.26132, "time": 0.73507} +{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17117, "decode.acc_seg": 76.86432, "aux.loss_seg": 0.09551, "aux.acc_seg": 75.00197, "loss": 0.26667, "time": 0.72893} +{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 26851, "data_time": 0.24497, "decode.loss_seg": 0.17325, "decode.acc_seg": 74.3313, "aux.loss_seg": 0.09528, "aux.acc_seg": 72.56166, "loss": 0.26853, "time": 0.96648} +{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17271, "decode.acc_seg": 75.74975, "aux.loss_seg": 0.09693, "aux.acc_seg": 73.9348, "loss": 0.26964, "time": 0.7332} +{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 26851, "data_time": 0.00758, "decode.loss_seg": 0.17019, "decode.acc_seg": 74.93721, "aux.loss_seg": 0.095, "aux.acc_seg": 73.13741, "loss": 0.26519, "time": 0.72899} +{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17299, "decode.acc_seg": 75.2356, "aux.loss_seg": 0.0968, "aux.acc_seg": 73.32088, "loss": 0.26979, "time": 0.72874} +{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.16472, "decode.acc_seg": 75.03283, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.34577, "loss": 0.25512, "time": 0.72678} +{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.17121, "decode.acc_seg": 73.58037, "aux.loss_seg": 0.09421, "aux.acc_seg": 71.79753, "loss": 0.26542, "time": 0.72194} +{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.16896, "decode.acc_seg": 75.7969, "aux.loss_seg": 0.09375, "aux.acc_seg": 74.04549, "loss": 0.26271, "time": 0.72707} +{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.17309, "decode.acc_seg": 74.56671, "aux.loss_seg": 0.09669, "aux.acc_seg": 72.79093, "loss": 0.26977, "time": 0.72687} +{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.18005, "decode.acc_seg": 75.35673, "aux.loss_seg": 0.09837, "aux.acc_seg": 73.59111, "loss": 0.27842, "time": 0.72999} +{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17154, "decode.acc_seg": 75.40384, "aux.loss_seg": 0.09522, "aux.acc_seg": 73.5446, "loss": 0.26676, "time": 0.72766} +{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.88329, "aux.loss_seg": 0.09636, "aux.acc_seg": 73.07412, "loss": 0.27215, "time": 0.72544} +{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17295, "decode.acc_seg": 76.541, "aux.loss_seg": 0.09606, "aux.acc_seg": 74.66741, "loss": 0.26901, "time": 0.72885} +{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.1822, "decode.acc_seg": 74.62698, "aux.loss_seg": 0.10059, "aux.acc_seg": 72.68471, "loss": 0.28279, "time": 0.728} +{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.17373, "decode.acc_seg": 74.75087, "aux.loss_seg": 0.0962, "aux.acc_seg": 72.92069, "loss": 0.26993, "time": 0.7278} +{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16047, "decode.acc_seg": 74.37624, "aux.loss_seg": 0.08918, "aux.acc_seg": 72.63145, "loss": 0.24964, "time": 0.72409} +{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.16959, "decode.acc_seg": 74.72272, "aux.loss_seg": 0.09467, "aux.acc_seg": 72.82788, "loss": 0.26426, "time": 0.72974} +{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.17429, "decode.acc_seg": 75.58205, "aux.loss_seg": 0.09643, "aux.acc_seg": 73.80596, "loss": 0.27072, "time": 0.72371} +{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.1705, "decode.acc_seg": 75.14466, "aux.loss_seg": 0.09469, "aux.acc_seg": 73.26822, "loss": 0.26518, "time": 0.72891} +{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.16679, "decode.acc_seg": 74.73005, "aux.loss_seg": 0.09024, "aux.acc_seg": 73.12515, "loss": 0.25703, "time": 0.72659} +{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17608, "decode.acc_seg": 76.15949, "aux.loss_seg": 0.09813, "aux.acc_seg": 74.29755, "loss": 0.27421, "time": 0.73001} +{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.16903, "decode.acc_seg": 75.2622, "aux.loss_seg": 0.09551, "aux.acc_seg": 73.46237, "loss": 0.26454, "time": 0.72682} +{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.16463, "decode.acc_seg": 73.91016, "aux.loss_seg": 0.0911, "aux.acc_seg": 72.14626, "loss": 0.25573, "time": 0.72852} +{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.16358, "decode.acc_seg": 73.51928, "aux.loss_seg": 0.0911, "aux.acc_seg": 71.71522, "loss": 0.25468, "time": 0.73576} +{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16504, "decode.acc_seg": 75.59375, "aux.loss_seg": 0.09088, "aux.acc_seg": 73.89862, "loss": 0.25591, "time": 0.73525} +{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.16519, "decode.acc_seg": 76.39928, "aux.loss_seg": 0.09239, "aux.acc_seg": 74.61995, "loss": 0.25758, "time": 0.73033} +{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 26851, "data_time": 0.2416, "decode.loss_seg": 0.17222, "decode.acc_seg": 75.74417, "aux.loss_seg": 0.09297, "aux.acc_seg": 74.03574, "loss": 0.26519, "time": 0.9633} +{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.16483, "decode.acc_seg": 75.06662, "aux.loss_seg": 0.08974, "aux.acc_seg": 73.4606, "loss": 0.25457, "time": 0.72454} +{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.16787, "decode.acc_seg": 75.38903, "aux.loss_seg": 0.09526, "aux.acc_seg": 73.50916, "loss": 0.26313, "time": 0.72511} +{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.17341, "decode.acc_seg": 74.75997, "aux.loss_seg": 0.09543, "aux.acc_seg": 73.05877, "loss": 0.26883, "time": 0.73542} +{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.17386, "decode.acc_seg": 74.15525, "aux.loss_seg": 0.0984, "aux.acc_seg": 72.2121, "loss": 0.27226, "time": 0.74005} +{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.16869, "decode.acc_seg": 75.63742, "aux.loss_seg": 0.09288, "aux.acc_seg": 73.85644, "loss": 0.26157, "time": 0.72461} +{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17291, "decode.acc_seg": 74.543, "aux.loss_seg": 0.09517, "aux.acc_seg": 72.76246, "loss": 0.26809, "time": 0.72591} +{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.17699, "decode.acc_seg": 74.48839, "aux.loss_seg": 0.09654, "aux.acc_seg": 72.79359, "loss": 0.27353, "time": 0.72686} +{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.1661, "decode.acc_seg": 74.33215, "aux.loss_seg": 0.09181, "aux.acc_seg": 72.64143, "loss": 0.2579, "time": 0.72714} +{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.16964, "decode.acc_seg": 73.55313, "aux.loss_seg": 0.09344, "aux.acc_seg": 71.83676, "loss": 0.26308, "time": 0.73444} +{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.18002, "decode.acc_seg": 75.728, "aux.loss_seg": 0.09584, "aux.acc_seg": 74.01645, "loss": 0.27587, "time": 0.73082} +{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.17379, "decode.acc_seg": 76.59022, "aux.loss_seg": 0.09851, "aux.acc_seg": 74.62647, "loss": 0.2723, "time": 0.73178} +{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.16583, "decode.acc_seg": 75.86287, "aux.loss_seg": 0.09069, "aux.acc_seg": 74.25252, "loss": 0.25653, "time": 0.73693} +{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17754, "decode.acc_seg": 75.98049, "aux.loss_seg": 0.09618, "aux.acc_seg": 74.26075, "loss": 0.27373, "time": 0.72669} +{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18418, "decode.acc_seg": 74.58609, "aux.loss_seg": 0.09957, "aux.acc_seg": 72.85577, "loss": 0.28374, "time": 0.72771} +{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.16932, "decode.acc_seg": 73.77332, "aux.loss_seg": 0.09411, "aux.acc_seg": 72.04153, "loss": 0.26343, "time": 0.7334} +{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.16595, "decode.acc_seg": 74.0381, "aux.loss_seg": 0.09257, "aux.acc_seg": 72.30222, "loss": 0.25852, "time": 0.74078} +{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.16649, "decode.acc_seg": 74.77465, "aux.loss_seg": 0.09142, "aux.acc_seg": 73.06808, "loss": 0.25791, "time": 0.73037} +{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.16327, "decode.acc_seg": 74.10468, "aux.loss_seg": 0.09125, "aux.acc_seg": 72.3612, "loss": 0.25453, "time": 0.72581} +{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.17171, "decode.acc_seg": 75.58895, "aux.loss_seg": 0.0964, "aux.acc_seg": 73.7437, "loss": 0.26811, "time": 0.72637} +{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.16822, "decode.acc_seg": 76.65605, "aux.loss_seg": 0.09414, "aux.acc_seg": 74.86861, "loss": 0.26236, "time": 0.72306} +{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17782, "decode.acc_seg": 75.06085, "aux.loss_seg": 0.09985, "aux.acc_seg": 73.07589, "loss": 0.27767, "time": 0.73334} +{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.16869, "decode.acc_seg": 74.41857, "aux.loss_seg": 0.09237, "aux.acc_seg": 72.70391, "loss": 0.26106, "time": 0.73266} +{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.16984, "decode.acc_seg": 74.93516, "aux.loss_seg": 0.09576, "aux.acc_seg": 73.07256, "loss": 0.2656, "time": 0.72546} +{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.16537, "decode.acc_seg": 75.77736, "aux.loss_seg": 0.09067, "aux.acc_seg": 74.08007, "loss": 0.25603, "time": 0.72505} +{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.17074, "decode.acc_seg": 75.43068, "aux.loss_seg": 0.09581, "aux.acc_seg": 73.62648, "loss": 0.26655, "time": 0.72965} +{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 26851, "data_time": 0.2465, "decode.loss_seg": 0.1817, "decode.acc_seg": 74.50763, "aux.loss_seg": 0.0996, "aux.acc_seg": 72.68901, "loss": 0.2813, "time": 0.96639} +{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.17124, "decode.acc_seg": 74.82986, "aux.loss_seg": 0.09487, "aux.acc_seg": 73.03299, "loss": 0.26611, "time": 0.73054} +{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.16223, "decode.acc_seg": 73.9851, "aux.loss_seg": 0.08966, "aux.acc_seg": 72.35862, "loss": 0.2519, "time": 0.73645} +{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.16491, "decode.acc_seg": 75.26401, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.49766, "loss": 0.25801, "time": 0.73579} +{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.17344, "decode.acc_seg": 74.80204, "aux.loss_seg": 0.09581, "aux.acc_seg": 73.1286, "loss": 0.26925, "time": 0.73413} +{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.17113, "decode.acc_seg": 75.52535, "aux.loss_seg": 0.09656, "aux.acc_seg": 73.69119, "loss": 0.26769, "time": 0.72829} +{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.16864, "decode.acc_seg": 76.53924, "aux.loss_seg": 0.0939, "aux.acc_seg": 74.71358, "loss": 0.26254, "time": 0.73352} +{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.17418, "decode.acc_seg": 76.18764, "aux.loss_seg": 0.09682, "aux.acc_seg": 74.33662, "loss": 0.27101, "time": 0.72295} +{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.17319, "decode.acc_seg": 75.53696, "aux.loss_seg": 0.09644, "aux.acc_seg": 73.68863, "loss": 0.26963, "time": 0.72495} +{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.17591, "decode.acc_seg": 74.76437, "aux.loss_seg": 0.09537, "aux.acc_seg": 73.07638, "loss": 0.27127, "time": 0.72802} +{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17422, "decode.acc_seg": 74.8436, "aux.loss_seg": 0.09554, "aux.acc_seg": 73.10845, "loss": 0.26976, "time": 0.72802} +{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.17381, "decode.acc_seg": 74.90446, "aux.loss_seg": 0.09453, "aux.acc_seg": 73.21452, "loss": 0.26834, "time": 0.72706} +{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.17025, "decode.acc_seg": 76.2954, "aux.loss_seg": 0.09508, "aux.acc_seg": 74.48715, "loss": 0.26533, "time": 0.72642} +{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.60502, "aux.loss_seg": 0.10128, "aux.acc_seg": 72.7929, "loss": 0.28788, "time": 0.72356} +{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.16757, "decode.acc_seg": 75.91407, "aux.loss_seg": 0.09178, "aux.acc_seg": 74.24496, "loss": 0.25935, "time": 0.72858} +{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.16892, "decode.acc_seg": 75.92685, "aux.loss_seg": 0.09384, "aux.acc_seg": 74.10929, "loss": 0.26276, "time": 0.72771} +{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17106, "decode.acc_seg": 73.22582, "aux.loss_seg": 0.09524, "aux.acc_seg": 71.50957, "loss": 0.2663, "time": 0.72948} +{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.16584, "decode.acc_seg": 74.82287, "aux.loss_seg": 0.09273, "aux.acc_seg": 72.95916, "loss": 0.25858, "time": 0.7292} +{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.16414, "decode.acc_seg": 74.66026, "aux.loss_seg": 0.0916, "aux.acc_seg": 72.98725, "loss": 0.25574, "time": 0.72652} +{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.16365, "decode.acc_seg": 75.32048, "aux.loss_seg": 0.09173, "aux.acc_seg": 73.55979, "loss": 0.25538, "time": 0.73334} +{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.16693, "decode.acc_seg": 73.21706, "aux.loss_seg": 0.09255, "aux.acc_seg": 71.48755, "loss": 0.25948, "time": 0.72924} +{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.16545, "decode.acc_seg": 75.15644, "aux.loss_seg": 0.0924, "aux.acc_seg": 73.34341, "loss": 0.25785, "time": 0.73189} +{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.16721, "decode.acc_seg": 74.24269, "aux.loss_seg": 0.09363, "aux.acc_seg": 72.47818, "loss": 0.26084, "time": 0.7339} +{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.16317, "decode.acc_seg": 74.88199, "aux.loss_seg": 0.0898, "aux.acc_seg": 73.23972, "loss": 0.25297, "time": 0.72534} +{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.17296, "decode.acc_seg": 75.56785, "aux.loss_seg": 0.09577, "aux.acc_seg": 73.8373, "loss": 0.26873, "time": 0.72455} +{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 26851, "data_time": 0.25516, "decode.loss_seg": 0.16932, "decode.acc_seg": 75.99983, "aux.loss_seg": 0.09361, "aux.acc_seg": 74.26367, "loss": 0.26293, "time": 0.97466} +{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.17368, "decode.acc_seg": 75.29552, "aux.loss_seg": 0.09575, "aux.acc_seg": 73.55256, "loss": 0.26943, "time": 0.73435} +{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17578, "decode.acc_seg": 74.25257, "aux.loss_seg": 0.09803, "aux.acc_seg": 72.4232, "loss": 0.27381, "time": 0.73282} +{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.15942, "decode.acc_seg": 74.96491, "aux.loss_seg": 0.08978, "aux.acc_seg": 73.15852, "loss": 0.24919, "time": 0.73353} +{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.16844, "decode.acc_seg": 75.87479, "aux.loss_seg": 0.0961, "aux.acc_seg": 73.95069, "loss": 0.26454, "time": 0.73876} +{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.15986, "decode.acc_seg": 75.72737, "aux.loss_seg": 0.08998, "aux.acc_seg": 74.02244, "loss": 0.24984, "time": 0.72831} +{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.16769, "decode.acc_seg": 76.23191, "aux.loss_seg": 0.09348, "aux.acc_seg": 74.37967, "loss": 0.26117, "time": 0.72583} +{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.17174, "decode.acc_seg": 75.09037, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.33929, "loss": 0.26609, "time": 0.72836} +{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.17345, "decode.acc_seg": 76.25846, "aux.loss_seg": 0.09712, "aux.acc_seg": 74.41166, "loss": 0.27057, "time": 0.72839} +{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17191, "decode.acc_seg": 75.84328, "aux.loss_seg": 0.09648, "aux.acc_seg": 73.99763, "loss": 0.26839, "time": 0.73471} +{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.1763, "decode.acc_seg": 74.10369, "aux.loss_seg": 0.0981, "aux.acc_seg": 72.35239, "loss": 0.2744, "time": 0.73201} +{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.16776, "decode.acc_seg": 75.37624, "aux.loss_seg": 0.09421, "aux.acc_seg": 73.47038, "loss": 0.26197, "time": 0.73172} +{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.1684, "decode.acc_seg": 74.07425, "aux.loss_seg": 0.09434, "aux.acc_seg": 72.21225, "loss": 0.26274, "time": 0.73387} +{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.18164, "decode.acc_seg": 74.93327, "aux.loss_seg": 0.09994, "aux.acc_seg": 73.12702, "loss": 0.28158, "time": 0.73074} +{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.16764, "decode.acc_seg": 75.78224, "aux.loss_seg": 0.09339, "aux.acc_seg": 73.99906, "loss": 0.26103, "time": 0.7302} +{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.16983, "decode.acc_seg": 75.19725, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.48508, "loss": 0.26366, "time": 0.73409} +{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.17035, "decode.acc_seg": 75.6962, "aux.loss_seg": 0.09366, "aux.acc_seg": 73.9216, "loss": 0.26401, "time": 0.73235} +{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.16618, "decode.acc_seg": 73.78198, "aux.loss_seg": 0.09171, "aux.acc_seg": 72.13499, "loss": 0.25789, "time": 0.73178} +{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 26851, "data_time": 0.00957, "decode.loss_seg": 0.16839, "decode.acc_seg": 74.0902, "aux.loss_seg": 0.09178, "aux.acc_seg": 72.39018, "loss": 0.26017, "time": 0.72916} +{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.17375, "decode.acc_seg": 74.35802, "aux.loss_seg": 0.09599, "aux.acc_seg": 72.56299, "loss": 0.26974, "time": 0.73169} +{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 26851, "data_time": 0.00951, "decode.loss_seg": 0.1683, "decode.acc_seg": 74.15408, "aux.loss_seg": 0.09248, "aux.acc_seg": 72.51051, "loss": 0.26079, "time": 0.73247} +{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.17442, "decode.acc_seg": 73.88414, "aux.loss_seg": 0.09624, "aux.acc_seg": 72.07608, "loss": 0.27066, "time": 0.73579} +{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.168, "decode.acc_seg": 74.86398, "aux.loss_seg": 0.09144, "aux.acc_seg": 73.18269, "loss": 0.25944, "time": 0.73126} +{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.16818, "decode.acc_seg": 75.36289, "aux.loss_seg": 0.09389, "aux.acc_seg": 73.60729, "loss": 0.26206, "time": 0.72923} +{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.17082, "decode.acc_seg": 75.2112, "aux.loss_seg": 0.09434, "aux.acc_seg": 73.39899, "loss": 0.26516, "time": 0.73131} +{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 26851, "data_time": 0.24508, "decode.loss_seg": 0.17365, "decode.acc_seg": 75.6445, "aux.loss_seg": 0.09597, "aux.acc_seg": 73.85846, "loss": 0.26962, "time": 0.96829} +{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.16061, "decode.acc_seg": 74.7114, "aux.loss_seg": 0.09047, "aux.acc_seg": 72.94125, "loss": 0.25108, "time": 0.73313} +{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.17063, "decode.acc_seg": 74.58634, "aux.loss_seg": 0.09377, "aux.acc_seg": 72.83697, "loss": 0.26441, "time": 0.73374} +{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.16897, "decode.acc_seg": 74.89917, "aux.loss_seg": 0.09417, "aux.acc_seg": 73.15638, "loss": 0.26314, "time": 0.7333} +{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16207, "decode.acc_seg": 74.70167, "aux.loss_seg": 0.09043, "aux.acc_seg": 72.98945, "loss": 0.25251, "time": 0.7318} +{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17177, "decode.acc_seg": 73.99046, "aux.loss_seg": 0.09415, "aux.acc_seg": 72.3138, "loss": 0.26592, "time": 0.73396} +{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.17253, "decode.acc_seg": 73.68493, "aux.loss_seg": 0.0964, "aux.acc_seg": 71.76034, "loss": 0.26893, "time": 0.73642} +{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.1624, "decode.acc_seg": 75.20224, "aux.loss_seg": 0.0905, "aux.acc_seg": 73.39123, "loss": 0.2529, "time": 0.73283} +{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.16822, "decode.acc_seg": 74.51586, "aux.loss_seg": 0.09331, "aux.acc_seg": 72.67632, "loss": 0.26153, "time": 0.7301} +{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.17145, "decode.acc_seg": 75.12292, "aux.loss_seg": 0.09343, "aux.acc_seg": 73.48824, "loss": 0.26488, "time": 0.72719} +{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.16844, "decode.acc_seg": 74.26036, "aux.loss_seg": 0.09474, "aux.acc_seg": 72.38716, "loss": 0.26318, "time": 0.73066} +{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.16544, "decode.acc_seg": 76.74928, "aux.loss_seg": 0.09133, "aux.acc_seg": 74.96386, "loss": 0.25677, "time": 0.73392} +{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.16896, "decode.acc_seg": 74.58809, "aux.loss_seg": 0.09424, "aux.acc_seg": 72.7911, "loss": 0.26321, "time": 0.73079} +{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17045, "decode.acc_seg": 76.06159, "aux.loss_seg": 0.09576, "aux.acc_seg": 74.15432, "loss": 0.26622, "time": 0.73108} +{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.16644, "decode.acc_seg": 75.50891, "aux.loss_seg": 0.09207, "aux.acc_seg": 73.82976, "loss": 0.25851, "time": 0.73142} +{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.17522, "decode.acc_seg": 74.9168, "aux.loss_seg": 0.09655, "aux.acc_seg": 73.24017, "loss": 0.27177, "time": 0.73201} +{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.17321, "decode.acc_seg": 75.19001, "aux.loss_seg": 0.09692, "aux.acc_seg": 73.27901, "loss": 0.27013, "time": 0.72691} +{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.17082, "decode.acc_seg": 75.04978, "aux.loss_seg": 0.09652, "aux.acc_seg": 73.0886, "loss": 0.26734, "time": 0.72775} +{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.02325, "aux.loss_seg": 0.09871, "aux.acc_seg": 72.10937, "loss": 0.27693, "time": 0.73304} +{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.16617, "decode.acc_seg": 76.27912, "aux.loss_seg": 0.09294, "aux.acc_seg": 74.58125, "loss": 0.25911, "time": 0.73261} +{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.16763, "decode.acc_seg": 74.42927, "aux.loss_seg": 0.09414, "aux.acc_seg": 72.59804, "loss": 0.26177, "time": 0.73292} +{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.16535, "decode.acc_seg": 74.54045, "aux.loss_seg": 0.09195, "aux.acc_seg": 72.72182, "loss": 0.25731, "time": 0.73014} +{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17455, "decode.acc_seg": 74.92426, "aux.loss_seg": 0.09536, "aux.acc_seg": 73.20673, "loss": 0.26991, "time": 0.73018} +{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.16448, "decode.acc_seg": 75.10911, "aux.loss_seg": 0.09343, "aux.acc_seg": 73.31433, "loss": 0.25792, "time": 0.73523} +{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 26851, "data_time": 0.00905, "decode.loss_seg": 0.17176, "decode.acc_seg": 76.24535, "aux.loss_seg": 0.09621, "aux.acc_seg": 74.36001, "loss": 0.26797, "time": 0.73316} +{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 26851, "data_time": 0.25204, "decode.loss_seg": 0.16059, "decode.acc_seg": 75.57445, "aux.loss_seg": 0.09026, "aux.acc_seg": 73.80548, "loss": 0.25084, "time": 0.97426} +{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.1772, "decode.acc_seg": 74.8432, "aux.loss_seg": 0.09745, "aux.acc_seg": 73.0324, "loss": 0.27464, "time": 0.73} +{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17044, "decode.acc_seg": 75.0411, "aux.loss_seg": 0.09363, "aux.acc_seg": 73.37361, "loss": 0.26407, "time": 0.73141} +{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.16245, "decode.acc_seg": 73.64842, "aux.loss_seg": 0.09198, "aux.acc_seg": 71.82144, "loss": 0.25444, "time": 0.7262} +{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17026, "decode.acc_seg": 74.17081, "aux.loss_seg": 0.09501, "aux.acc_seg": 72.39967, "loss": 0.26527, "time": 0.72865} +{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.16948, "decode.acc_seg": 74.67308, "aux.loss_seg": 0.09403, "aux.acc_seg": 72.92727, "loss": 0.26351, "time": 0.73095} +{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16342, "decode.acc_seg": 75.66367, "aux.loss_seg": 0.09267, "aux.acc_seg": 73.80886, "loss": 0.25609, "time": 0.7418} +{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.15881, "decode.acc_seg": 75.8284, "aux.loss_seg": 0.08779, "aux.acc_seg": 74.10276, "loss": 0.2466, "time": 0.7314} +{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.16828, "decode.acc_seg": 75.50554, "aux.loss_seg": 0.09219, "aux.acc_seg": 73.86959, "loss": 0.26048, "time": 0.72853} +{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.17338, "decode.acc_seg": 76.09876, "aux.loss_seg": 0.09382, "aux.acc_seg": 74.50173, "loss": 0.26721, "time": 0.72493} +{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.1563, "decode.acc_seg": 73.62831, "aux.loss_seg": 0.08656, "aux.acc_seg": 71.9896, "loss": 0.24286, "time": 0.72986} +{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.17956, "decode.acc_seg": 75.60437, "aux.loss_seg": 0.09721, "aux.acc_seg": 73.9027, "loss": 0.27677, "time": 0.73168} +{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.17144, "decode.acc_seg": 75.28964, "aux.loss_seg": 0.09526, "aux.acc_seg": 73.51415, "loss": 0.2667, "time": 0.73665} +{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.1739, "decode.acc_seg": 75.29452, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.52807, "loss": 0.27021, "time": 0.72916} +{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.17003, "decode.acc_seg": 74.64755, "aux.loss_seg": 0.09706, "aux.acc_seg": 72.74133, "loss": 0.26708, "time": 0.73024} +{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.1669, "decode.acc_seg": 75.39432, "aux.loss_seg": 0.09292, "aux.acc_seg": 73.59328, "loss": 0.25981, "time": 0.72968} +{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17135, "decode.acc_seg": 73.92543, "aux.loss_seg": 0.09419, "aux.acc_seg": 72.17979, "loss": 0.26554, "time": 0.73123} +{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.16433, "decode.acc_seg": 73.94852, "aux.loss_seg": 0.09141, "aux.acc_seg": 72.21323, "loss": 0.25573, "time": 0.73348} +{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17329, "decode.acc_seg": 75.95392, "aux.loss_seg": 0.09711, "aux.acc_seg": 74.14834, "loss": 0.2704, "time": 0.72902} +{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16396, "decode.acc_seg": 75.0444, "aux.loss_seg": 0.09084, "aux.acc_seg": 73.3395, "loss": 0.2548, "time": 0.72549} +{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.16622, "decode.acc_seg": 74.94784, "aux.loss_seg": 0.09196, "aux.acc_seg": 73.19268, "loss": 0.25817, "time": 0.73105} +{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.17378, "decode.acc_seg": 75.84394, "aux.loss_seg": 0.0971, "aux.acc_seg": 73.95697, "loss": 0.27088, "time": 0.73007} +{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16656, "decode.acc_seg": 75.90646, "aux.loss_seg": 0.09124, "aux.acc_seg": 74.21366, "loss": 0.2578, "time": 0.73054} +{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.17174, "decode.acc_seg": 76.03448, "aux.loss_seg": 0.09477, "aux.acc_seg": 74.26412, "loss": 0.2665, "time": 0.72705} +{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.16213, "decode.acc_seg": 74.9236, "aux.loss_seg": 0.08996, "aux.acc_seg": 73.21334, "loss": 0.25209, "time": 0.72862} +{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17444, "decode.acc_seg": 75.51484, "aux.loss_seg": 0.09342, "aux.acc_seg": 73.80965, "loss": 0.26786, "time": 0.72801} +{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 26851, "data_time": 0.25146, "decode.loss_seg": 0.16334, "decode.acc_seg": 74.83449, "aux.loss_seg": 0.0903, "aux.acc_seg": 73.17876, "loss": 0.25364, "time": 0.97681} +{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.16316, "decode.acc_seg": 75.63697, "aux.loss_seg": 0.09092, "aux.acc_seg": 73.87371, "loss": 0.25408, "time": 0.73006} +{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 26851, "data_time": 0.00963, "decode.loss_seg": 0.16341, "decode.acc_seg": 74.40901, "aux.loss_seg": 0.09029, "aux.acc_seg": 72.66106, "loss": 0.2537, "time": 0.73633} +{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.17306, "decode.acc_seg": 74.76033, "aux.loss_seg": 0.09456, "aux.acc_seg": 73.06845, "loss": 0.26762, "time": 0.73272} +{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.1689, "decode.acc_seg": 75.32229, "aux.loss_seg": 0.09321, "aux.acc_seg": 73.53373, "loss": 0.26211, "time": 0.7319} +{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.16511, "decode.acc_seg": 75.86857, "aux.loss_seg": 0.09385, "aux.acc_seg": 74.05193, "loss": 0.25896, "time": 0.73289} +{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.1664, "decode.acc_seg": 74.9349, "aux.loss_seg": 0.09321, "aux.acc_seg": 73.07457, "loss": 0.2596, "time": 0.73273} +{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.16215, "decode.acc_seg": 73.56541, "aux.loss_seg": 0.091, "aux.acc_seg": 71.86168, "loss": 0.25315, "time": 0.7318} +{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16633, "decode.acc_seg": 74.45515, "aux.loss_seg": 0.09159, "aux.acc_seg": 72.76615, "loss": 0.25792, "time": 0.73727} +{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.16531, "decode.acc_seg": 75.96646, "aux.loss_seg": 0.09155, "aux.acc_seg": 74.22726, "loss": 0.25686, "time": 0.7347} +{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.16754, "decode.acc_seg": 75.33144, "aux.loss_seg": 0.09215, "aux.acc_seg": 73.62058, "loss": 0.25969, "time": 0.7258} +{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16685, "decode.acc_seg": 73.58022, "aux.loss_seg": 0.09315, "aux.acc_seg": 71.78147, "loss": 0.26, "time": 0.73354} +{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.18224, "decode.acc_seg": 75.74664, "aux.loss_seg": 0.10018, "aux.acc_seg": 73.95656, "loss": 0.28242, "time": 0.73862} +{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.16619, "decode.acc_seg": 74.8372, "aux.loss_seg": 0.09359, "aux.acc_seg": 73.00681, "loss": 0.25978, "time": 0.7318} +{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.16872, "decode.acc_seg": 75.22757, "aux.loss_seg": 0.09302, "aux.acc_seg": 73.58527, "loss": 0.26175, "time": 0.73483} +{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.17376, "decode.acc_seg": 74.84397, "aux.loss_seg": 0.09442, "aux.acc_seg": 73.14666, "loss": 0.26818, "time": 0.73637} +{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.16185, "decode.acc_seg": 74.52648, "aux.loss_seg": 0.08862, "aux.acc_seg": 72.99371, "loss": 0.25047, "time": 0.73254} +{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 26851, "data_time": 0.00919, "decode.loss_seg": 0.17358, "decode.acc_seg": 76.05065, "aux.loss_seg": 0.09775, "aux.acc_seg": 74.18006, "loss": 0.27133, "time": 0.72711} +{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.17022, "decode.acc_seg": 75.76217, "aux.loss_seg": 0.09534, "aux.acc_seg": 73.9188, "loss": 0.26556, "time": 0.72804} +{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.16793, "decode.acc_seg": 76.06378, "aux.loss_seg": 0.09234, "aux.acc_seg": 74.32459, "loss": 0.26027, "time": 0.72982} +{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.16483, "decode.acc_seg": 74.77617, "aux.loss_seg": 0.0923, "aux.acc_seg": 72.96011, "loss": 0.25714, "time": 0.73058} +{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.17213, "decode.acc_seg": 74.43996, "aux.loss_seg": 0.09534, "aux.acc_seg": 72.64032, "loss": 0.26747, "time": 0.73356} +{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.16263, "decode.acc_seg": 75.75145, "aux.loss_seg": 0.09117, "aux.acc_seg": 74.01337, "loss": 0.25379, "time": 0.73509} +{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.1761, "decode.acc_seg": 75.38151, "aux.loss_seg": 0.09717, "aux.acc_seg": 73.54237, "loss": 0.27327, "time": 0.7347} +{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.17092, "decode.acc_seg": 74.66326, "aux.loss_seg": 0.09503, "aux.acc_seg": 72.91332, "loss": 0.26595, "time": 0.7347} +{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 26851, "data_time": 0.24804, "decode.loss_seg": 0.16797, "decode.acc_seg": 76.38132, "aux.loss_seg": 0.09519, "aux.acc_seg": 74.63767, "loss": 0.26316, "time": 0.96452} +{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 26851, "data_time": 0.00927, "decode.loss_seg": 0.16113, "decode.acc_seg": 74.9663, "aux.loss_seg": 0.09054, "aux.acc_seg": 73.16313, "loss": 0.25167, "time": 0.73028} +{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17527, "decode.acc_seg": 76.01861, "aux.loss_seg": 0.09605, "aux.acc_seg": 74.25662, "loss": 0.27132, "time": 0.73521} +{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17172, "decode.acc_seg": 74.76519, "aux.loss_seg": 0.09502, "aux.acc_seg": 72.93489, "loss": 0.26674, "time": 0.73183} +{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.16246, "decode.acc_seg": 75.03974, "aux.loss_seg": 0.09137, "aux.acc_seg": 73.1938, "loss": 0.25383, "time": 0.73685} +{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.17299, "decode.acc_seg": 75.52737, "aux.loss_seg": 0.09567, "aux.acc_seg": 73.76747, "loss": 0.26867, "time": 0.73086} +{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.17257, "decode.acc_seg": 76.14217, "aux.loss_seg": 0.09428, "aux.acc_seg": 74.40728, "loss": 0.26685, "time": 0.72939} +{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.16146, "decode.acc_seg": 76.11535, "aux.loss_seg": 0.09001, "aux.acc_seg": 74.39895, "loss": 0.25148, "time": 0.72663} +{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17435, "decode.acc_seg": 75.09404, "aux.loss_seg": 0.098, "aux.acc_seg": 73.28999, "loss": 0.27235, "time": 0.72959} +{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.16058, "decode.acc_seg": 73.80159, "aux.loss_seg": 0.09144, "aux.acc_seg": 71.95517, "loss": 0.25202, "time": 0.73529} +{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.16692, "decode.acc_seg": 73.73561, "aux.loss_seg": 0.09219, "aux.acc_seg": 72.08853, "loss": 0.2591, "time": 0.73315} +{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.16526, "decode.acc_seg": 75.59894, "aux.loss_seg": 0.09136, "aux.acc_seg": 73.89233, "loss": 0.25661, "time": 0.73641} +{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.16077, "decode.acc_seg": 76.36988, "aux.loss_seg": 0.09003, "aux.acc_seg": 74.6261, "loss": 0.2508, "time": 0.73473} +{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.15947, "decode.acc_seg": 75.49051, "aux.loss_seg": 0.08937, "aux.acc_seg": 73.75679, "loss": 0.24885, "time": 0.73448} +{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.16897, "decode.acc_seg": 74.46061, "aux.loss_seg": 0.09512, "aux.acc_seg": 72.64044, "loss": 0.26409, "time": 0.73094} +{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.16198, "decode.acc_seg": 75.10792, "aux.loss_seg": 0.08926, "aux.acc_seg": 73.50723, "loss": 0.25124, "time": 0.72891} +{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.17087, "decode.acc_seg": 75.06967, "aux.loss_seg": 0.09457, "aux.acc_seg": 73.3111, "loss": 0.26544, "time": 0.71971} +{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.1689, "decode.acc_seg": 75.61555, "aux.loss_seg": 0.09415, "aux.acc_seg": 73.73794, "loss": 0.26305, "time": 0.71678} +{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 26851, "data_time": 0.00741, "decode.loss_seg": 0.16627, "decode.acc_seg": 75.67334, "aux.loss_seg": 0.09344, "aux.acc_seg": 73.86469, "loss": 0.25972, "time": 0.71662} +{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 26851, "data_time": 0.0074, "decode.loss_seg": 0.17353, "decode.acc_seg": 75.37572, "aux.loss_seg": 0.09696, "aux.acc_seg": 73.5103, "loss": 0.27048, "time": 0.71873} +{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 26851, "data_time": 0.00735, "decode.loss_seg": 0.17011, "decode.acc_seg": 76.02716, "aux.loss_seg": 0.09486, "aux.acc_seg": 74.31551, "loss": 0.26498, "time": 0.71751} +{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.16984, "decode.acc_seg": 74.9464, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.28524, "loss": 0.26293, "time": 0.7185} +{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.16624, "decode.acc_seg": 74.96643, "aux.loss_seg": 0.09277, "aux.acc_seg": 73.20676, "loss": 0.25901, "time": 0.71413} +{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.17072, "decode.acc_seg": 74.34483, "aux.loss_seg": 0.09304, "aux.acc_seg": 72.65523, "loss": 0.26376, "time": 0.71502} +{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.17004, "decode.acc_seg": 75.657, "aux.loss_seg": 0.09476, "aux.acc_seg": 73.88881, "loss": 0.26481, "time": 0.71718} +{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 26851, "data_time": 0.21771, "decode.loss_seg": 0.16747, "decode.acc_seg": 74.60478, "aux.loss_seg": 0.09338, "aux.acc_seg": 72.83421, "loss": 0.26086, "time": 0.92833} +{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 26851, "data_time": 0.00704, "decode.loss_seg": 0.17941, "decode.acc_seg": 75.03034, "aux.loss_seg": 0.09965, "aux.acc_seg": 73.17673, "loss": 0.27906, "time": 0.71834} +{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.16408, "decode.acc_seg": 74.4019, "aux.loss_seg": 0.09099, "aux.acc_seg": 72.62975, "loss": 0.25507, "time": 0.72617} +{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17103, "decode.acc_seg": 75.46833, "aux.loss_seg": 0.09398, "aux.acc_seg": 73.74536, "loss": 0.26501, "time": 0.73284} +{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 26851, "data_time": 0.00719, "decode.loss_seg": 0.17094, "decode.acc_seg": 76.22875, "aux.loss_seg": 0.09391, "aux.acc_seg": 74.49303, "loss": 0.26485, "time": 0.72181} +{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.17322, "decode.acc_seg": 74.96288, "aux.loss_seg": 0.09524, "aux.acc_seg": 73.12565, "loss": 0.26846, "time": 0.7221} +{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.1718, "decode.acc_seg": 76.31242, "aux.loss_seg": 0.09714, "aux.acc_seg": 74.44592, "loss": 0.26894, "time": 0.71862} +{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.16373, "decode.acc_seg": 74.22969, "aux.loss_seg": 0.0916, "aux.acc_seg": 72.46306, "loss": 0.25533, "time": 0.7194} +{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 26851, "data_time": 0.00684, "decode.loss_seg": 0.17055, "decode.acc_seg": 74.82623, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.0071, "loss": 0.26597, "time": 0.71546} +{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.1608, "decode.acc_seg": 75.58049, "aux.loss_seg": 0.09152, "aux.acc_seg": 73.70143, "loss": 0.25232, "time": 0.71884} +{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 26851, "data_time": 0.0069, "decode.loss_seg": 0.16893, "decode.acc_seg": 74.89319, "aux.loss_seg": 0.09378, "aux.acc_seg": 73.12684, "loss": 0.26272, "time": 0.71981} +{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 26851, "data_time": 0.00694, "decode.loss_seg": 0.16684, "decode.acc_seg": 75.39869, "aux.loss_seg": 0.09483, "aux.acc_seg": 73.58355, "loss": 0.26167, "time": 0.72078} +{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 26851, "data_time": 0.00717, "decode.loss_seg": 0.16139, "decode.acc_seg": 74.84989, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.14443, "loss": 0.25157, "time": 0.72209} +{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 26851, "data_time": 0.00689, "decode.loss_seg": 0.17609, "decode.acc_seg": 75.76961, "aux.loss_seg": 0.09654, "aux.acc_seg": 73.97813, "loss": 0.27263, "time": 0.71632} +{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 26851, "data_time": 0.00704, "decode.loss_seg": 0.16901, "decode.acc_seg": 74.60178, "aux.loss_seg": 0.09436, "aux.acc_seg": 72.87874, "loss": 0.26337, "time": 0.71401} +{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 26851, "data_time": 0.00684, "decode.loss_seg": 0.16677, "decode.acc_seg": 74.79452, "aux.loss_seg": 0.09234, "aux.acc_seg": 73.14016, "loss": 0.25912, "time": 0.71581} +{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.16022, "decode.acc_seg": 75.35595, "aux.loss_seg": 0.08968, "aux.acc_seg": 73.56748, "loss": 0.2499, "time": 0.7196} +{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4769, "mAcc": 0.5979, "aAcc": 0.823, "IoU.wall": 0.7637, "IoU.building": 0.8183, "IoU.sky": 0.9383, "IoU.floor": 0.8101, "IoU.tree": 0.7346, "IoU.ceiling": 0.8339, "IoU.road": 0.8424, "IoU.bed ": 0.8736, "IoU.windowpane": 0.6022, "IoU.grass": 0.6495, "IoU.cabinet": 0.6007, "IoU.sidewalk": 0.6692, "IoU.person": 0.778, "IoU.earth": 0.3709, "IoU.door": 0.4497, "IoU.table": 0.5815, "IoU.mountain": 0.5569, "IoU.plant": 0.5081, "IoU.curtain": 0.7215, "IoU.chair": 0.5491, "IoU.car": 0.8198, "IoU.water": 0.4749, "IoU.painting": 0.7128, "IoU.sofa": 0.6033, "IoU.shelf": 0.4305, "IoU.house": 0.4663, "IoU.sea": 0.487, "IoU.mirror": 0.6274, "IoU.rug": 0.6252, "IoU.field": 0.2837, "IoU.armchair": 0.43, "IoU.seat": 0.6225, "IoU.fence": 0.3944, "IoU.desk": 0.4763, "IoU.rock": 0.3828, "IoU.wardrobe": 0.4567, "IoU.lamp": 0.6012, "IoU.bathtub": 0.7613, "IoU.railing": 0.3617, "IoU.cushion": 0.527, "IoU.base": 0.3171, "IoU.box": 0.2695, "IoU.column": 0.4354, "IoU.signboard": 0.371, "IoU.chest of drawers": 0.376, "IoU.counter": 0.3529, "IoU.sand": 0.5315, "IoU.sink": 0.7114, "IoU.skyscraper": 0.544, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7142, "IoU.grandstand": 0.4184, "IoU.path": 0.2772, "IoU.stairs": 0.2776, "IoU.runway": 0.7253, "IoU.case": 0.4382, "IoU.pool table": 0.9123, "IoU.pillow": 0.5594, "IoU.screen door": 0.6595, "IoU.stairway": 0.2712, "IoU.river": 0.1561, "IoU.bridge": 0.6937, "IoU.bookcase": 0.4507, "IoU.blind": NaN, "IoU.coffee table": 0.539, "IoU.toilet": 0.8199, "IoU.flower": 0.4214, "IoU.book": 0.4613, "IoU.hill": 0.0781, "IoU.bench": 0.4362, "IoU.countertop": 0.5137, "IoU.stove": 0.7266, "IoU.palm": 0.4984, "IoU.kitchen island": 0.3584, "IoU.computer": 0.6206, "IoU.swivel chair": 0.4512, "IoU.boat": 0.4075, "IoU.bar": 0.353, "IoU.arcade machine": 0.5448, "IoU.hovel": 0.2516, "IoU.bus": 0.8428, "IoU.towel": 0.6424, "IoU.light": 0.5531, "IoU.truck": 0.1859, "IoU.tower": 0.0723, "IoU.chandelier": 0.6587, "IoU.awning": 0.2752, "IoU.streetlight": 0.2153, "IoU.booth": 0.5759, "IoU.television receiver": NaN, "IoU.airplane": 0.5771, "IoU.dirt track": 0.0803, "IoU.apparel": 0.3013, "IoU.pole": 0.1743, "IoU.land": 0.0226, "IoU.bannister": 0.0977, "IoU.escalator": 0.3495, "IoU.ottoman": 0.4, "IoU.bottle": NaN, "IoU.buffet": 0.3048, "IoU.poster": 0.2492, "IoU.stage": 0.2437, "IoU.van": 0.3798, "IoU.ship": 0.5502, "IoU.fountain": 0.3178, "IoU.conveyer belt": 0.7454, "IoU.canopy": 0.1797, "IoU.washer": 0.6893, "IoU.plaything": 0.2456, "IoU.swimming pool": 0.7084, "IoU.stool": 0.3582, "IoU.barrel": 0.5674, "IoU.basket": 0.33, "IoU.waterfall": 0.4584, "IoU.tent": 0.768, "IoU.bag": 0.143, "IoU.minibike": 0.6955, "IoU.cradle": NaN, "IoU.oven": 0.3602, "IoU.ball": 0.4168, "IoU.food": 0.5829, "IoU.step": 0.074, "IoU.tank": 0.5439, "IoU.trade name": 0.2705, "IoU.microwave": 0.6365, "IoU.pot": 0.5069, "IoU.animal": NaN, "IoU.bicycle": 0.5373, "IoU.lake": 0.5193, "IoU.dishwasher": 0.5589, "IoU.screen": 0.6972, "IoU.blanket": 0.1718, "IoU.sculpture": 0.6453, "IoU.hood": 0.579, "IoU.sconce": 0.4443, "IoU.vase": 0.3796, "IoU.traffic light": 0.2782, "IoU.tray": 0.0941, "IoU.ashcan": 0.3559, "IoU.fan": 0.592, "IoU.pier": 0.4958, "IoU.crt screen": 0.0654, "IoU.plate": 0.5644, "IoU.monitor": 0.0952, "IoU.bulletin board": 0.3776, "IoU.shower": 0.0331, "IoU.radiator": 0.5766, "IoU.glass": 0.1296, "IoU.clock": 0.4059, "IoU.flag": 0.5829, "Acc.wall": 0.8729, "Acc.building": 0.9263, "Acc.sky": 0.9726, "Acc.floor": 0.8998, "Acc.tree": 0.8719, "Acc.ceiling": 0.9171, "Acc.road": 0.9045, "Acc.bed ": 0.9519, "Acc.windowpane": 0.7766, "Acc.grass": 0.8075, "Acc.cabinet": 0.7378, "Acc.sidewalk": 0.825, "Acc.person": 0.9185, "Acc.earth": 0.4868, "Acc.door": 0.6073, "Acc.table": 0.7525, "Acc.mountain": 0.7206, "Acc.plant": 0.6178, "Acc.curtain": 0.8375, "Acc.chair": 0.6845, "Acc.car": 0.8989, "Acc.water": 0.6225, "Acc.painting": 0.8674, "Acc.sofa": 0.7689, "Acc.shelf": 0.5858, "Acc.house": 0.5957, "Acc.sea": 0.7684, "Acc.mirror": 0.7161, "Acc.rug": 0.7404, "Acc.field": 0.4589, "Acc.armchair": 0.6283, "Acc.seat": 0.8446, "Acc.fence": 0.5315, "Acc.desk": 0.6515, "Acc.rock": 0.6112, "Acc.wardrobe": 0.6072, "Acc.lamp": 0.7435, "Acc.bathtub": 0.821, "Acc.railing": 0.4955, "Acc.cushion": 0.6843, "Acc.base": 0.4184, "Acc.box": 0.3677, "Acc.column": 0.5592, "Acc.signboard": 0.5214, "Acc.chest of drawers": 0.5597, "Acc.counter": 0.4463, "Acc.sand": 0.7422, "Acc.sink": 0.8057, "Acc.skyscraper": 0.6883, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8046, "Acc.grandstand": 0.671, "Acc.path": 0.4035, "Acc.stairs": 0.3426, "Acc.runway": 0.942, "Acc.case": 0.5817, "Acc.pool table": 0.9664, "Acc.pillow": 0.6726, "Acc.screen door": 0.7429, "Acc.stairway": 0.36, "Acc.river": 0.2825, "Acc.bridge": 0.8195, "Acc.bookcase": 0.5644, "Acc.blind": NaN, "Acc.coffee table": 0.7649, "Acc.toilet": 0.8858, "Acc.flower": 0.6121, "Acc.book": 0.6613, "Acc.hill": 0.1454, "Acc.bench": 0.5354, "Acc.countertop": 0.7049, "Acc.stove": 0.8207, "Acc.palm": 0.7273, "Acc.kitchen island": 0.657, "Acc.computer": 0.73, "Acc.swivel chair": 0.6212, "Acc.boat": 0.484, "Acc.bar": 0.4557, "Acc.arcade machine": 0.595, "Acc.hovel": 0.2871, "Acc.bus": 0.9587, "Acc.towel": 0.7973, "Acc.light": 0.6484, "Acc.truck": 0.2948, "Acc.tower": 0.1099, "Acc.chandelier": 0.8331, "Acc.awning": 0.3299, "Acc.streetlight": 0.2876, "Acc.booth": 0.6593, "Acc.television receiver": NaN, "Acc.airplane": 0.6497, "Acc.dirt track": 0.1802, "Acc.apparel": 0.443, "Acc.pole": 0.2376, "Acc.land": 0.0312, "Acc.bannister": 0.1251, "Acc.escalator": 0.4159, "Acc.ottoman": 0.5991, "Acc.bottle": NaN, "Acc.buffet": 0.3382, "Acc.poster": 0.3212, "Acc.stage": 0.3382, "Acc.van": 0.5763, "Acc.ship": 0.9731, "Acc.fountain": 0.3244, "Acc.conveyer belt": 0.8763, "Acc.canopy": 0.212, "Acc.washer": 0.7471, "Acc.plaything": 0.3875, "Acc.swimming pool": 0.7749, "Acc.stool": 0.5223, "Acc.barrel": 0.7104, "Acc.basket": 0.4485, "Acc.waterfall": 0.5469, "Acc.tent": 0.9803, "Acc.bag": 0.1789, "Acc.minibike": 0.8406, "Acc.cradle": NaN, "Acc.oven": 0.4557, "Acc.ball": 0.4467, "Acc.food": 0.6763, "Acc.step": 0.0882, "Acc.tank": 0.6185, "Acc.trade name": 0.3166, "Acc.microwave": 0.7164, "Acc.pot": 0.5656, "Acc.animal": NaN, "Acc.bicycle": 0.7599, "Acc.lake": 0.5639, "Acc.dishwasher": 0.6786, "Acc.screen": 0.9279, "Acc.blanket": 0.1974, "Acc.sculpture": 0.8076, "Acc.hood": 0.6889, "Acc.sconce": 0.5484, "Acc.vase": 0.5205, "Acc.traffic light": 0.4202, "Acc.tray": 0.1792, "Acc.ashcan": 0.4569, "Acc.fan": 0.7258, "Acc.pier": 0.7954, "Acc.crt screen": 0.1935, "Acc.plate": 0.7405, "Acc.monitor": 0.1241, "Acc.bulletin board": 0.519, "Acc.shower": 0.0481, "Acc.radiator": 0.6564, "Acc.glass": 0.1371, "Acc.clock": 0.4912, "Acc.flag": 0.6591} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt new file mode 100644 index 000000000..80a3bef2b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt @@ -0,0 +1,3201 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.0\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+89a0876", "seed": null, "exp_name": "upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 17798, "data_time": 0.00627, "decode.loss_seg": 4.03034, "decode.acc_seg": 0.95287, "aux.loss_seg": 1.62137, "aux.acc_seg": 0.69193, "loss": 5.6517, "time": 0.48247} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 17798, "data_time": 0.00507, "decode.loss_seg": 3.94737, "decode.acc_seg": 7.91556, "aux.loss_seg": 1.61433, "aux.acc_seg": 1.32467, "loss": 5.5617, "time": 0.30769} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 17798, "data_time": 0.00514, "decode.loss_seg": 3.75652, "decode.acc_seg": 24.19497, "aux.loss_seg": 1.59875, "aux.acc_seg": 4.91255, "loss": 5.35527, "time": 0.3059} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 3.4145, "decode.acc_seg": 34.5085, "aux.loss_seg": 1.57577, "aux.acc_seg": 15.59626, "loss": 4.99027, "time": 0.30607} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 17798, "data_time": 0.00508, "decode.loss_seg": 3.16166, "decode.acc_seg": 39.5867, "aux.loss_seg": 1.55613, "aux.acc_seg": 30.1913, "loss": 4.71779, "time": 0.3065} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 17798, "data_time": 0.00486, "decode.loss_seg": 2.78213, "decode.acc_seg": 39.08122, "aux.loss_seg": 1.43067, "aux.acc_seg": 34.45642, "loss": 4.2128, "time": 0.30327} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 17798, "data_time": 0.00478, "decode.loss_seg": 2.6313, "decode.acc_seg": 43.11488, "aux.loss_seg": 1.40188, "aux.acc_seg": 38.93375, "loss": 4.03317, "time": 0.30274} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 2.39595, "decode.acc_seg": 43.4366, "aux.loss_seg": 1.30284, "aux.acc_seg": 39.23969, "loss": 3.69879, "time": 0.30292} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 2.23015, "decode.acc_seg": 44.55956, "aux.loss_seg": 1.23287, "aux.acc_seg": 39.75318, "loss": 3.46301, "time": 0.3026} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 2.09842, "decode.acc_seg": 47.14022, "aux.loss_seg": 1.18621, "aux.acc_seg": 42.43188, "loss": 3.28463, "time": 0.30318} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 2.02351, "decode.acc_seg": 48.31913, "aux.loss_seg": 1.1534, "aux.acc_seg": 43.37173, "loss": 3.17691, "time": 0.30354} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 1.95297, "decode.acc_seg": 48.49878, "aux.loss_seg": 1.11866, "aux.acc_seg": 44.12775, "loss": 3.07163, "time": 0.30257} +{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 17798, "data_time": 0.0049, "decode.loss_seg": 1.82382, "decode.acc_seg": 47.73202, "aux.loss_seg": 1.03983, "aux.acc_seg": 43.35105, "loss": 2.86365, "time": 0.30186} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 17798, "data_time": 0.00454, "decode.loss_seg": 1.78558, "decode.acc_seg": 47.08915, "aux.loss_seg": 1.00574, "aux.acc_seg": 43.34719, "loss": 2.79132, "time": 0.30275} +{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 17798, "data_time": 0.00451, "decode.loss_seg": 1.69154, "decode.acc_seg": 48.2269, "aux.loss_seg": 0.95727, "aux.acc_seg": 43.86083, "loss": 2.64881, "time": 0.30269} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 17798, "data_time": 0.00467, "decode.loss_seg": 1.62219, "decode.acc_seg": 51.04537, "aux.loss_seg": 0.92009, "aux.acc_seg": 46.93818, "loss": 2.54228, "time": 0.30213} +{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 17798, "data_time": 0.00475, "decode.loss_seg": 1.51363, "decode.acc_seg": 50.9408, "aux.loss_seg": 0.86725, "aux.acc_seg": 47.00698, "loss": 2.38088, "time": 0.30198} +{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 17798, "data_time": 0.00499, "decode.loss_seg": 1.43777, "decode.acc_seg": 49.6275, "aux.loss_seg": 0.81147, "aux.acc_seg": 45.05519, "loss": 2.24925, "time": 0.30253} +{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 17798, "data_time": 0.00518, "decode.loss_seg": 1.4471, "decode.acc_seg": 50.40306, "aux.loss_seg": 0.79757, "aux.acc_seg": 46.34237, "loss": 2.24467, "time": 0.30195} +{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 1.43161, "decode.acc_seg": 51.20661, "aux.loss_seg": 0.77964, "aux.acc_seg": 47.19063, "loss": 2.21125, "time": 0.3022} +{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 1.31263, "decode.acc_seg": 53.8959, "aux.loss_seg": 0.73106, "aux.acc_seg": 48.71827, "loss": 2.04369, "time": 0.30191} +{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 1.34918, "decode.acc_seg": 51.58716, "aux.loss_seg": 0.71543, "aux.acc_seg": 47.66625, "loss": 2.06461, "time": 0.30195} +{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 1.32473, "decode.acc_seg": 52.68137, "aux.loss_seg": 0.6987, "aux.acc_seg": 48.60192, "loss": 2.02342, "time": 0.302} +{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 1.29263, "decode.acc_seg": 53.32366, "aux.loss_seg": 0.67668, "aux.acc_seg": 49.26469, "loss": 1.96931, "time": 0.30187} +{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 17798, "data_time": 0.00513, "decode.loss_seg": 1.1978, "decode.acc_seg": 52.60455, "aux.loss_seg": 0.6305, "aux.acc_seg": 48.98613, "loss": 1.8283, "time": 0.3046} +{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 17798, "data_time": 0.15137, "decode.loss_seg": 1.22209, "decode.acc_seg": 53.76218, "aux.loss_seg": 0.63302, "aux.acc_seg": 50.29348, "loss": 1.85511, "time": 0.46944} +{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 17798, "data_time": 0.00568, "decode.loss_seg": 1.20936, "decode.acc_seg": 53.54835, "aux.loss_seg": 0.62523, "aux.acc_seg": 50.25623, "loss": 1.83459, "time": 0.30221} +{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 17798, "data_time": 0.00566, "decode.loss_seg": 1.24782, "decode.acc_seg": 52.03706, "aux.loss_seg": 0.62435, "aux.acc_seg": 49.20591, "loss": 1.87217, "time": 0.30368} +{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 1.12801, "decode.acc_seg": 54.4317, "aux.loss_seg": 0.58047, "aux.acc_seg": 51.34423, "loss": 1.70848, "time": 0.30603} +{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 17798, "data_time": 0.00583, "decode.loss_seg": 1.17424, "decode.acc_seg": 53.82873, "aux.loss_seg": 0.58163, "aux.acc_seg": 51.48784, "loss": 1.75587, "time": 0.30619} +{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 17798, "data_time": 0.00608, "decode.loss_seg": 1.23424, "decode.acc_seg": 52.28972, "aux.loss_seg": 0.60914, "aux.acc_seg": 49.93754, "loss": 1.84338, "time": 0.30459} +{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 17798, "data_time": 0.00572, "decode.loss_seg": 1.08923, "decode.acc_seg": 55.35871, "aux.loss_seg": 0.54324, "aux.acc_seg": 52.40101, "loss": 1.63247, "time": 0.30358} +{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 17798, "data_time": 0.00591, "decode.loss_seg": 1.14076, "decode.acc_seg": 53.30734, "aux.loss_seg": 0.56632, "aux.acc_seg": 50.44935, "loss": 1.70708, "time": 0.30376} +{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 17798, "data_time": 0.00617, "decode.loss_seg": 1.11413, "decode.acc_seg": 55.63863, "aux.loss_seg": 0.54072, "aux.acc_seg": 53.3776, "loss": 1.65485, "time": 0.30332} +{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 17798, "data_time": 0.00596, "decode.loss_seg": 1.0407, "decode.acc_seg": 54.50639, "aux.loss_seg": 0.51274, "aux.acc_seg": 52.45025, "loss": 1.55344, "time": 0.30783} +{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 17798, "data_time": 0.00572, "decode.loss_seg": 1.05323, "decode.acc_seg": 55.22224, "aux.loss_seg": 0.51856, "aux.acc_seg": 53.23561, "loss": 1.57179, "time": 0.30716} +{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 1.03643, "decode.acc_seg": 54.33693, "aux.loss_seg": 0.51076, "aux.acc_seg": 51.89687, "loss": 1.54719, "time": 0.30561} +{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 0.92744, "decode.acc_seg": 57.24279, "aux.loss_seg": 0.4608, "aux.acc_seg": 54.72356, "loss": 1.38824, "time": 0.3052} +{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 17798, "data_time": 0.00531, "decode.loss_seg": 0.96143, "decode.acc_seg": 55.70394, "aux.loss_seg": 0.4805, "aux.acc_seg": 52.50473, "loss": 1.44193, "time": 0.30527} +{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 1.03067, "decode.acc_seg": 55.64218, "aux.loss_seg": 0.50279, "aux.acc_seg": 53.60382, "loss": 1.53346, "time": 0.30407} +{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 1.0345, "decode.acc_seg": 54.11825, "aux.loss_seg": 0.50233, "aux.acc_seg": 51.9134, "loss": 1.53683, "time": 0.30501} +{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 1.04184, "decode.acc_seg": 55.38987, "aux.loss_seg": 0.50687, "aux.acc_seg": 52.59041, "loss": 1.54871, "time": 0.30402} +{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.97574, "decode.acc_seg": 56.01801, "aux.loss_seg": 0.474, "aux.acc_seg": 53.37078, "loss": 1.44975, "time": 0.30391} +{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 17798, "data_time": 0.00584, "decode.loss_seg": 0.99964, "decode.acc_seg": 56.97386, "aux.loss_seg": 0.48004, "aux.acc_seg": 54.54166, "loss": 1.47968, "time": 0.30368} +{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 17798, "data_time": 0.00599, "decode.loss_seg": 0.95574, "decode.acc_seg": 56.60277, "aux.loss_seg": 0.46119, "aux.acc_seg": 54.67794, "loss": 1.41693, "time": 0.30524} +{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 17798, "data_time": 0.00585, "decode.loss_seg": 0.91585, "decode.acc_seg": 57.70036, "aux.loss_seg": 0.44552, "aux.acc_seg": 55.41647, "loss": 1.36137, "time": 0.30487} +{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 17798, "data_time": 0.00596, "decode.loss_seg": 0.92237, "decode.acc_seg": 55.63796, "aux.loss_seg": 0.44343, "aux.acc_seg": 53.42346, "loss": 1.3658, "time": 0.3044} +{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.91676, "decode.acc_seg": 56.11901, "aux.loss_seg": 0.4445, "aux.acc_seg": 53.90931, "loss": 1.36126, "time": 0.30404} +{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.9213, "decode.acc_seg": 55.18671, "aux.loss_seg": 0.45094, "aux.acc_seg": 52.3101, "loss": 1.37224, "time": 0.30458} +{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 17798, "data_time": 0.00562, "decode.loss_seg": 0.92235, "decode.acc_seg": 58.35026, "aux.loss_seg": 0.4481, "aux.acc_seg": 55.91463, "loss": 1.37045, "time": 0.30535} +{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 17798, "data_time": 0.15276, "decode.loss_seg": 0.92449, "decode.acc_seg": 57.72872, "aux.loss_seg": 0.44751, "aux.acc_seg": 55.4937, "loss": 1.372, "time": 0.47243} +{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.86693, "decode.acc_seg": 57.0884, "aux.loss_seg": 0.42591, "aux.acc_seg": 54.2908, "loss": 1.29284, "time": 0.30315} +{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 17798, "data_time": 0.00564, "decode.loss_seg": 0.87444, "decode.acc_seg": 56.52945, "aux.loss_seg": 0.42595, "aux.acc_seg": 53.66395, "loss": 1.30039, "time": 0.303} +{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 17798, "data_time": 0.00611, "decode.loss_seg": 0.82518, "decode.acc_seg": 60.09898, "aux.loss_seg": 0.40537, "aux.acc_seg": 57.2685, "loss": 1.23055, "time": 0.30387} +{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 17798, "data_time": 0.00621, "decode.loss_seg": 0.83083, "decode.acc_seg": 57.87922, "aux.loss_seg": 0.41212, "aux.acc_seg": 54.54621, "loss": 1.24295, "time": 0.30393} +{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 17798, "data_time": 0.00605, "decode.loss_seg": 0.86972, "decode.acc_seg": 58.59961, "aux.loss_seg": 0.42412, "aux.acc_seg": 55.99503, "loss": 1.29383, "time": 0.30389} +{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.84592, "decode.acc_seg": 59.08802, "aux.loss_seg": 0.40891, "aux.acc_seg": 56.72559, "loss": 1.25484, "time": 0.3033} +{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 17798, "data_time": 0.00564, "decode.loss_seg": 0.83116, "decode.acc_seg": 58.83837, "aux.loss_seg": 0.40865, "aux.acc_seg": 55.8211, "loss": 1.23981, "time": 0.30412} +{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.82039, "decode.acc_seg": 59.24977, "aux.loss_seg": 0.39768, "aux.acc_seg": 56.39437, "loss": 1.21806, "time": 0.30431} +{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.82003, "decode.acc_seg": 59.00867, "aux.loss_seg": 0.39376, "aux.acc_seg": 56.6556, "loss": 1.21379, "time": 0.30446} +{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 17798, "data_time": 0.00533, "decode.loss_seg": 0.81841, "decode.acc_seg": 58.73752, "aux.loss_seg": 0.39698, "aux.acc_seg": 55.84612, "loss": 1.21539, "time": 0.30377} +{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.82729, "decode.acc_seg": 57.97534, "aux.loss_seg": 0.40198, "aux.acc_seg": 54.9936, "loss": 1.22927, "time": 0.30395} +{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.83316, "decode.acc_seg": 57.78931, "aux.loss_seg": 0.39719, "aux.acc_seg": 55.7429, "loss": 1.23035, "time": 0.30515} +{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.79264, "decode.acc_seg": 58.76751, "aux.loss_seg": 0.3765, "aux.acc_seg": 56.47037, "loss": 1.16913, "time": 0.30445} +{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.84212, "decode.acc_seg": 58.08424, "aux.loss_seg": 0.40483, "aux.acc_seg": 55.30772, "loss": 1.24695, "time": 0.30546} +{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.80429, "decode.acc_seg": 57.30495, "aux.loss_seg": 0.38473, "aux.acc_seg": 54.9731, "loss": 1.18902, "time": 0.30387} +{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.83194, "decode.acc_seg": 58.68575, "aux.loss_seg": 0.39217, "aux.acc_seg": 56.49574, "loss": 1.22411, "time": 0.30392} +{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 17798, "data_time": 0.00537, "decode.loss_seg": 0.82107, "decode.acc_seg": 57.75099, "aux.loss_seg": 0.38777, "aux.acc_seg": 55.89213, "loss": 1.20884, "time": 0.30381} +{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.83789, "decode.acc_seg": 56.94379, "aux.loss_seg": 0.3947, "aux.acc_seg": 54.98884, "loss": 1.2326, "time": 0.30412} +{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 17798, "data_time": 0.00555, "decode.loss_seg": 0.81945, "decode.acc_seg": 59.79478, "aux.loss_seg": 0.38955, "aux.acc_seg": 57.61707, "loss": 1.209, "time": 0.30318} +{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.83817, "decode.acc_seg": 57.84799, "aux.loss_seg": 0.39759, "aux.acc_seg": 55.56779, "loss": 1.23577, "time": 0.30388} +{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 17798, "data_time": 0.0054, "decode.loss_seg": 0.79208, "decode.acc_seg": 59.19845, "aux.loss_seg": 0.37358, "aux.acc_seg": 57.16219, "loss": 1.16566, "time": 0.30403} +{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 0.7979, "decode.acc_seg": 57.88643, "aux.loss_seg": 0.36869, "aux.acc_seg": 56.29923, "loss": 1.16659, "time": 0.30297} +{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 0.85412, "decode.acc_seg": 58.82062, "aux.loss_seg": 0.39996, "aux.acc_seg": 57.15897, "loss": 1.25408, "time": 0.30266} +{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 17798, "data_time": 0.00514, "decode.loss_seg": 0.81913, "decode.acc_seg": 58.17959, "aux.loss_seg": 0.38767, "aux.acc_seg": 55.98954, "loss": 1.2068, "time": 0.30325} +{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 17798, "data_time": 0.15833, "decode.loss_seg": 0.75448, "decode.acc_seg": 60.51678, "aux.loss_seg": 0.36231, "aux.acc_seg": 58.29872, "loss": 1.11679, "time": 0.4637} +{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 0.78636, "decode.acc_seg": 58.9593, "aux.loss_seg": 0.36954, "aux.acc_seg": 57.28621, "loss": 1.1559, "time": 0.3022} +{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 17798, "data_time": 0.00537, "decode.loss_seg": 0.73235, "decode.acc_seg": 59.9474, "aux.loss_seg": 0.35126, "aux.acc_seg": 57.68202, "loss": 1.08361, "time": 0.30388} +{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 17798, "data_time": 0.00515, "decode.loss_seg": 0.73971, "decode.acc_seg": 60.83684, "aux.loss_seg": 0.35377, "aux.acc_seg": 58.61152, "loss": 1.09348, "time": 0.30425} +{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 17798, "data_time": 0.00519, "decode.loss_seg": 0.70206, "decode.acc_seg": 60.09123, "aux.loss_seg": 0.33432, "aux.acc_seg": 58.24062, "loss": 1.03638, "time": 0.307} +{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 17798, "data_time": 0.00508, "decode.loss_seg": 0.73368, "decode.acc_seg": 61.32335, "aux.loss_seg": 0.34619, "aux.acc_seg": 59.61451, "loss": 1.07988, "time": 0.30516} +{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 17798, "data_time": 0.00506, "decode.loss_seg": 0.78723, "decode.acc_seg": 58.89427, "aux.loss_seg": 0.36716, "aux.acc_seg": 57.10219, "loss": 1.15439, "time": 0.30533} +{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 17798, "data_time": 0.00486, "decode.loss_seg": 0.73661, "decode.acc_seg": 60.97077, "aux.loss_seg": 0.34826, "aux.acc_seg": 58.91133, "loss": 1.08487, "time": 0.30557} +{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 0.7894, "decode.acc_seg": 60.07454, "aux.loss_seg": 0.36934, "aux.acc_seg": 58.28509, "loss": 1.15874, "time": 0.30604} +{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 17798, "data_time": 0.00494, "decode.loss_seg": 0.70405, "decode.acc_seg": 62.43927, "aux.loss_seg": 0.3304, "aux.acc_seg": 60.73001, "loss": 1.03444, "time": 0.30582} +{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 17798, "data_time": 0.00494, "decode.loss_seg": 0.77512, "decode.acc_seg": 59.6609, "aux.loss_seg": 0.36081, "aux.acc_seg": 57.88463, "loss": 1.13593, "time": 0.30468} +{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 17798, "data_time": 0.0049, "decode.loss_seg": 0.73562, "decode.acc_seg": 60.03286, "aux.loss_seg": 0.34378, "aux.acc_seg": 58.17998, "loss": 1.0794, "time": 0.30464} +{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 17798, "data_time": 0.00497, "decode.loss_seg": 0.74111, "decode.acc_seg": 59.1244, "aux.loss_seg": 0.34414, "aux.acc_seg": 57.35848, "loss": 1.08524, "time": 0.30278} +{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 17798, "data_time": 0.00483, "decode.loss_seg": 0.75356, "decode.acc_seg": 60.61815, "aux.loss_seg": 0.35059, "aux.acc_seg": 58.9476, "loss": 1.10415, "time": 0.30283} +{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 17798, "data_time": 0.00489, "decode.loss_seg": 0.70472, "decode.acc_seg": 60.37565, "aux.loss_seg": 0.32819, "aux.acc_seg": 58.55943, "loss": 1.03291, "time": 0.30227} +{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 17798, "data_time": 0.0047, "decode.loss_seg": 0.73774, "decode.acc_seg": 60.34655, "aux.loss_seg": 0.34398, "aux.acc_seg": 58.5203, "loss": 1.08171, "time": 0.3022} +{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 17798, "data_time": 0.00468, "decode.loss_seg": 0.71579, "decode.acc_seg": 61.10397, "aux.loss_seg": 0.32838, "aux.acc_seg": 59.82336, "loss": 1.04417, "time": 0.30344} +{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 17798, "data_time": 0.00473, "decode.loss_seg": 0.71721, "decode.acc_seg": 61.28198, "aux.loss_seg": 0.33413, "aux.acc_seg": 59.20949, "loss": 1.05134, "time": 0.30277} +{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 17798, "data_time": 0.00475, "decode.loss_seg": 0.68154, "decode.acc_seg": 59.24303, "aux.loss_seg": 0.31675, "aux.acc_seg": 57.75112, "loss": 0.99829, "time": 0.30249} +{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 17798, "data_time": 0.00478, "decode.loss_seg": 0.74317, "decode.acc_seg": 59.99651, "aux.loss_seg": 0.34416, "aux.acc_seg": 58.05318, "loss": 1.08733, "time": 0.30276} +{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.71546, "decode.acc_seg": 60.06309, "aux.loss_seg": 0.32996, "aux.acc_seg": 58.64837, "loss": 1.04542, "time": 0.30363} +{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.69923, "decode.acc_seg": 62.03631, "aux.loss_seg": 0.3236, "aux.acc_seg": 60.54966, "loss": 1.02282, "time": 0.30264} +{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 17798, "data_time": 0.00532, "decode.loss_seg": 0.75905, "decode.acc_seg": 59.52026, "aux.loss_seg": 0.34479, "aux.acc_seg": 57.91088, "loss": 1.10384, "time": 0.30225} +{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.70874, "decode.acc_seg": 59.05666, "aux.loss_seg": 0.32122, "aux.acc_seg": 57.67312, "loss": 1.02996, "time": 0.30211} +{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.67613, "decode.acc_seg": 60.8616, "aux.loss_seg": 0.32007, "aux.acc_seg": 58.84966, "loss": 0.9962, "time": 0.30205} +{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.72444, "decode.acc_seg": 60.89968, "aux.loss_seg": 0.33036, "aux.acc_seg": 59.44827, "loss": 1.0548, "time": 0.30182} +{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 17798, "data_time": 0.14265, "decode.loss_seg": 0.67191, "decode.acc_seg": 60.9326, "aux.loss_seg": 0.31024, "aux.acc_seg": 59.66312, "loss": 0.98215, "time": 0.46601} +{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 17798, "data_time": 0.00488, "decode.loss_seg": 0.66525, "decode.acc_seg": 61.76257, "aux.loss_seg": 0.30687, "aux.acc_seg": 60.48194, "loss": 0.97212, "time": 0.30103} +{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.68322, "decode.acc_seg": 62.21715, "aux.loss_seg": 0.31347, "aux.acc_seg": 60.67386, "loss": 0.99669, "time": 0.30174} +{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.63894, "decode.acc_seg": 62.7008, "aux.loss_seg": 0.29985, "aux.acc_seg": 60.84063, "loss": 0.93879, "time": 0.30092} +{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 17798, "data_time": 0.00558, "decode.loss_seg": 0.7209, "decode.acc_seg": 59.7503, "aux.loss_seg": 0.32671, "aux.acc_seg": 58.28251, "loss": 1.0476, "time": 0.30143} +{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.67592, "decode.acc_seg": 59.50415, "aux.loss_seg": 0.31216, "aux.acc_seg": 57.97824, "loss": 0.98807, "time": 0.30219} +{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.67274, "decode.acc_seg": 61.86394, "aux.loss_seg": 0.30968, "aux.acc_seg": 60.6534, "loss": 0.98242, "time": 0.30158} +{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.72798, "decode.acc_seg": 62.53065, "aux.loss_seg": 0.32993, "aux.acc_seg": 61.16896, "loss": 1.05791, "time": 0.30258} +{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.66523, "decode.acc_seg": 62.47672, "aux.loss_seg": 0.30396, "aux.acc_seg": 61.12428, "loss": 0.96919, "time": 0.30169} +{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 17798, "data_time": 0.00541, "decode.loss_seg": 0.6943, "decode.acc_seg": 61.90989, "aux.loss_seg": 0.32034, "aux.acc_seg": 60.18016, "loss": 1.01464, "time": 0.30182} +{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 17798, "data_time": 0.00542, "decode.loss_seg": 0.65874, "decode.acc_seg": 60.3569, "aux.loss_seg": 0.30063, "aux.acc_seg": 59.30368, "loss": 0.95937, "time": 0.30144} +{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 17798, "data_time": 0.00539, "decode.loss_seg": 0.6931, "decode.acc_seg": 61.63454, "aux.loss_seg": 0.31382, "aux.acc_seg": 60.43401, "loss": 1.00692, "time": 0.30259} +{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.67488, "decode.acc_seg": 61.74559, "aux.loss_seg": 0.3068, "aux.acc_seg": 59.99169, "loss": 0.98168, "time": 0.3018} +{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.71629, "decode.acc_seg": 60.0881, "aux.loss_seg": 0.31911, "aux.acc_seg": 58.78382, "loss": 1.0354, "time": 0.30244} +{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.6799, "decode.acc_seg": 59.63329, "aux.loss_seg": 0.30564, "aux.acc_seg": 58.63443, "loss": 0.98555, "time": 0.30164} +{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 0.70759, "decode.acc_seg": 61.19499, "aux.loss_seg": 0.3205, "aux.acc_seg": 59.95046, "loss": 1.02809, "time": 0.30182} +{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 17798, "data_time": 0.00568, "decode.loss_seg": 0.67731, "decode.acc_seg": 60.60507, "aux.loss_seg": 0.3065, "aux.acc_seg": 59.3147, "loss": 0.98381, "time": 0.3021} +{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.66083, "decode.acc_seg": 61.30518, "aux.loss_seg": 0.29627, "aux.acc_seg": 60.42458, "loss": 0.95711, "time": 0.30183} +{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 17798, "data_time": 0.0055, "decode.loss_seg": 0.71065, "decode.acc_seg": 60.48047, "aux.loss_seg": 0.31815, "aux.acc_seg": 59.00845, "loss": 1.0288, "time": 0.30151} +{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.66117, "decode.acc_seg": 61.6488, "aux.loss_seg": 0.29932, "aux.acc_seg": 60.0749, "loss": 0.96048, "time": 0.3013} +{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.63933, "decode.acc_seg": 62.24835, "aux.loss_seg": 0.29241, "aux.acc_seg": 60.823, "loss": 0.93175, "time": 0.30142} +{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.66366, "decode.acc_seg": 59.85693, "aux.loss_seg": 0.30178, "aux.acc_seg": 58.49411, "loss": 0.96544, "time": 0.30367} +{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.68731, "decode.acc_seg": 60.20446, "aux.loss_seg": 0.31115, "aux.acc_seg": 58.79755, "loss": 0.99846, "time": 0.30133} +{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 17798, "data_time": 0.00511, "decode.loss_seg": 0.63808, "decode.acc_seg": 60.82674, "aux.loss_seg": 0.28871, "aux.acc_seg": 59.44779, "loss": 0.9268, "time": 0.30223} +{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 17798, "data_time": 0.00521, "decode.loss_seg": 0.68893, "decode.acc_seg": 60.87632, "aux.loss_seg": 0.30699, "aux.acc_seg": 59.94372, "loss": 0.99592, "time": 0.30261} +{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 17798, "data_time": 0.14013, "decode.loss_seg": 0.64639, "decode.acc_seg": 62.69541, "aux.loss_seg": 0.29699, "aux.acc_seg": 61.30234, "loss": 0.94338, "time": 0.46552} +{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 17798, "data_time": 0.00554, "decode.loss_seg": 0.65011, "decode.acc_seg": 63.68989, "aux.loss_seg": 0.29579, "aux.acc_seg": 61.9309, "loss": 0.94589, "time": 0.30314} +{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.62644, "decode.acc_seg": 61.72982, "aux.loss_seg": 0.28848, "aux.acc_seg": 60.20403, "loss": 0.91491, "time": 0.30224} +{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.58824, "decode.acc_seg": 63.26967, "aux.loss_seg": 0.26767, "aux.acc_seg": 61.74168, "loss": 0.8559, "time": 0.30395} +{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.64736, "decode.acc_seg": 63.58082, "aux.loss_seg": 0.29306, "aux.acc_seg": 61.95056, "loss": 0.94041, "time": 0.30344} +{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 17798, "data_time": 0.00537, "decode.loss_seg": 0.6306, "decode.acc_seg": 62.83424, "aux.loss_seg": 0.28997, "aux.acc_seg": 61.17947, "loss": 0.92057, "time": 0.30269} +{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.66841, "decode.acc_seg": 62.46309, "aux.loss_seg": 0.3038, "aux.acc_seg": 61.09666, "loss": 0.97221, "time": 0.30199} +{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.64797, "decode.acc_seg": 61.35458, "aux.loss_seg": 0.28987, "aux.acc_seg": 60.23391, "loss": 0.93784, "time": 0.30232} +{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 17798, "data_time": 0.00512, "decode.loss_seg": 0.62255, "decode.acc_seg": 61.57439, "aux.loss_seg": 0.27991, "aux.acc_seg": 60.20894, "loss": 0.90246, "time": 0.30245} +{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 17798, "data_time": 0.00513, "decode.loss_seg": 0.65961, "decode.acc_seg": 62.4672, "aux.loss_seg": 0.29952, "aux.acc_seg": 61.06428, "loss": 0.95913, "time": 0.30152} +{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.6559, "decode.acc_seg": 62.101, "aux.loss_seg": 0.29741, "aux.acc_seg": 60.5779, "loss": 0.95331, "time": 0.30239} +{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 17798, "data_time": 0.00557, "decode.loss_seg": 0.63612, "decode.acc_seg": 62.13565, "aux.loss_seg": 0.28872, "aux.acc_seg": 60.7584, "loss": 0.92484, "time": 0.30184} +{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.63, "decode.acc_seg": 62.72446, "aux.loss_seg": 0.28367, "aux.acc_seg": 61.32137, "loss": 0.91368, "time": 0.30193} +{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.63442, "decode.acc_seg": 61.98473, "aux.loss_seg": 0.28384, "aux.acc_seg": 60.73212, "loss": 0.91825, "time": 0.30184} +{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 17798, "data_time": 0.00554, "decode.loss_seg": 0.63918, "decode.acc_seg": 61.86354, "aux.loss_seg": 0.28584, "aux.acc_seg": 60.51826, "loss": 0.92502, "time": 0.30221} +{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.65771, "decode.acc_seg": 60.95587, "aux.loss_seg": 0.29142, "aux.acc_seg": 59.82434, "loss": 0.94913, "time": 0.30276} +{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 17798, "data_time": 0.00557, "decode.loss_seg": 0.65381, "decode.acc_seg": 61.13432, "aux.loss_seg": 0.29059, "aux.acc_seg": 59.62014, "loss": 0.9444, "time": 0.30296} +{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.64471, "decode.acc_seg": 62.25043, "aux.loss_seg": 0.2918, "aux.acc_seg": 60.69655, "loss": 0.93651, "time": 0.30252} +{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.63424, "decode.acc_seg": 63.67701, "aux.loss_seg": 0.28207, "aux.acc_seg": 62.66145, "loss": 0.91631, "time": 0.30248} +{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.6089, "decode.acc_seg": 61.29832, "aux.loss_seg": 0.27372, "aux.acc_seg": 60.03822, "loss": 0.88262, "time": 0.30247} +{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.64453, "decode.acc_seg": 61.65613, "aux.loss_seg": 0.28682, "aux.acc_seg": 60.60489, "loss": 0.93134, "time": 0.3029} +{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 17798, "data_time": 0.00541, "decode.loss_seg": 0.59885, "decode.acc_seg": 64.03864, "aux.loss_seg": 0.26842, "aux.acc_seg": 62.88435, "loss": 0.86727, "time": 0.30224} +{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 17798, "data_time": 0.00548, "decode.loss_seg": 0.58813, "decode.acc_seg": 63.03864, "aux.loss_seg": 0.2607, "aux.acc_seg": 62.13429, "loss": 0.84883, "time": 0.3022} +{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 17798, "data_time": 0.00571, "decode.loss_seg": 0.60718, "decode.acc_seg": 62.092, "aux.loss_seg": 0.26934, "aux.acc_seg": 60.97535, "loss": 0.87652, "time": 0.3021} +{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 17798, "data_time": 0.00594, "decode.loss_seg": 0.63357, "decode.acc_seg": 61.78018, "aux.loss_seg": 0.2855, "aux.acc_seg": 60.36196, "loss": 0.91907, "time": 0.30229} +{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 17798, "data_time": 0.14464, "decode.loss_seg": 0.62622, "decode.acc_seg": 61.62182, "aux.loss_seg": 0.27807, "aux.acc_seg": 60.31453, "loss": 0.90429, "time": 0.46411} +{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 17798, "data_time": 0.00477, "decode.loss_seg": 0.60395, "decode.acc_seg": 64.4687, "aux.loss_seg": 0.2725, "aux.acc_seg": 63.03183, "loss": 0.87645, "time": 0.3021} +{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 17798, "data_time": 0.00479, "decode.loss_seg": 0.61004, "decode.acc_seg": 63.23706, "aux.loss_seg": 0.27504, "aux.acc_seg": 62.11045, "loss": 0.88508, "time": 0.30082} +{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 17798, "data_time": 0.00465, "decode.loss_seg": 0.5862, "decode.acc_seg": 62.51144, "aux.loss_seg": 0.26578, "aux.acc_seg": 61.23439, "loss": 0.85198, "time": 0.30101} +{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 17798, "data_time": 0.00445, "decode.loss_seg": 0.58805, "decode.acc_seg": 62.91086, "aux.loss_seg": 0.26439, "aux.acc_seg": 61.82862, "loss": 0.85244, "time": 0.30047} +{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 17798, "data_time": 0.00457, "decode.loss_seg": 0.62249, "decode.acc_seg": 62.92133, "aux.loss_seg": 0.27704, "aux.acc_seg": 61.70441, "loss": 0.89953, "time": 0.30016} +{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 17798, "data_time": 0.00448, "decode.loss_seg": 0.61389, "decode.acc_seg": 62.11241, "aux.loss_seg": 0.27749, "aux.acc_seg": 60.92893, "loss": 0.89138, "time": 0.30043} +{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 17798, "data_time": 0.00449, "decode.loss_seg": 0.62881, "decode.acc_seg": 62.96488, "aux.loss_seg": 0.27946, "aux.acc_seg": 61.63575, "loss": 0.90827, "time": 0.30037} +{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 17798, "data_time": 0.00463, "decode.loss_seg": 0.62396, "decode.acc_seg": 62.95177, "aux.loss_seg": 0.27562, "aux.acc_seg": 62.17211, "loss": 0.89958, "time": 0.3018} +{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 17798, "data_time": 0.00472, "decode.loss_seg": 0.61112, "decode.acc_seg": 62.44582, "aux.loss_seg": 0.27205, "aux.acc_seg": 61.29626, "loss": 0.88317, "time": 0.30123} +{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 17798, "data_time": 0.00491, "decode.loss_seg": 0.57827, "decode.acc_seg": 63.39291, "aux.loss_seg": 0.25779, "aux.acc_seg": 62.04643, "loss": 0.83605, "time": 0.30147} +{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 17798, "data_time": 0.00486, "decode.loss_seg": 0.64219, "decode.acc_seg": 61.5389, "aux.loss_seg": 0.28176, "aux.acc_seg": 60.70722, "loss": 0.92395, "time": 0.30044} +{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 17798, "data_time": 0.00485, "decode.loss_seg": 0.57061, "decode.acc_seg": 64.64807, "aux.loss_seg": 0.25803, "aux.acc_seg": 63.26171, "loss": 0.82864, "time": 0.30124} +{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 17798, "data_time": 0.00478, "decode.loss_seg": 0.5934, "decode.acc_seg": 62.87086, "aux.loss_seg": 0.26618, "aux.acc_seg": 61.58574, "loss": 0.85957, "time": 0.3019} +{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 17798, "data_time": 0.00499, "decode.loss_seg": 0.58771, "decode.acc_seg": 63.1029, "aux.loss_seg": 0.26334, "aux.acc_seg": 61.87915, "loss": 0.85105, "time": 0.30164} +{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 17798, "data_time": 0.00501, "decode.loss_seg": 0.61684, "decode.acc_seg": 62.30406, "aux.loss_seg": 0.2754, "aux.acc_seg": 61.13641, "loss": 0.89223, "time": 0.30127} +{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 17798, "data_time": 0.00491, "decode.loss_seg": 0.60552, "decode.acc_seg": 63.32152, "aux.loss_seg": 0.26682, "aux.acc_seg": 62.0524, "loss": 0.87234, "time": 0.30097} +{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 17798, "data_time": 0.00493, "decode.loss_seg": 0.58538, "decode.acc_seg": 63.17049, "aux.loss_seg": 0.26197, "aux.acc_seg": 61.95282, "loss": 0.84735, "time": 0.30185} +{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 17798, "data_time": 0.00495, "decode.loss_seg": 0.58172, "decode.acc_seg": 63.5693, "aux.loss_seg": 0.26191, "aux.acc_seg": 62.14602, "loss": 0.84363, "time": 0.30192} +{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 0.60861, "decode.acc_seg": 62.94692, "aux.loss_seg": 0.27234, "aux.acc_seg": 61.80332, "loss": 0.88094, "time": 0.30096} +{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 17798, "data_time": 0.00494, "decode.loss_seg": 0.62766, "decode.acc_seg": 62.02122, "aux.loss_seg": 0.27746, "aux.acc_seg": 61.00801, "loss": 0.90513, "time": 0.30094} +{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 17798, "data_time": 0.00497, "decode.loss_seg": 0.60785, "decode.acc_seg": 63.2096, "aux.loss_seg": 0.27132, "aux.acc_seg": 62.1973, "loss": 0.87917, "time": 0.30062} +{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 0.59994, "decode.acc_seg": 62.42989, "aux.loss_seg": 0.26774, "aux.acc_seg": 61.14711, "loss": 0.86768, "time": 0.30134} +{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 17798, "data_time": 0.00504, "decode.loss_seg": 0.5974, "decode.acc_seg": 64.35111, "aux.loss_seg": 0.2679, "aux.acc_seg": 63.15302, "loss": 0.8653, "time": 0.30112} +{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 0.61058, "decode.acc_seg": 61.76967, "aux.loss_seg": 0.27213, "aux.acc_seg": 60.46038, "loss": 0.88271, "time": 0.30145} +{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 17798, "data_time": 0.14481, "decode.loss_seg": 0.58917, "decode.acc_seg": 63.1736, "aux.loss_seg": 0.26073, "aux.acc_seg": 61.9592, "loss": 0.84991, "time": 0.46503} +{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.56608, "decode.acc_seg": 63.10185, "aux.loss_seg": 0.2542, "aux.acc_seg": 62.1103, "loss": 0.82028, "time": 0.30203} +{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 17798, "data_time": 0.00544, "decode.loss_seg": 0.58692, "decode.acc_seg": 64.5716, "aux.loss_seg": 0.2636, "aux.acc_seg": 63.30358, "loss": 0.85053, "time": 0.30053} +{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 17798, "data_time": 0.00484, "decode.loss_seg": 0.56786, "decode.acc_seg": 62.99162, "aux.loss_seg": 0.25532, "aux.acc_seg": 61.66409, "loss": 0.82318, "time": 0.30095} +{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 17798, "data_time": 0.0048, "decode.loss_seg": 0.55494, "decode.acc_seg": 64.48483, "aux.loss_seg": 0.24667, "aux.acc_seg": 63.14472, "loss": 0.80161, "time": 0.3003} +{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 17798, "data_time": 0.00483, "decode.loss_seg": 0.57163, "decode.acc_seg": 63.24248, "aux.loss_seg": 0.2568, "aux.acc_seg": 61.97253, "loss": 0.82843, "time": 0.30066} +{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 17798, "data_time": 0.00495, "decode.loss_seg": 0.52688, "decode.acc_seg": 66.2816, "aux.loss_seg": 0.23582, "aux.acc_seg": 64.96986, "loss": 0.7627, "time": 0.30079} +{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 17798, "data_time": 0.00513, "decode.loss_seg": 0.59071, "decode.acc_seg": 63.48873, "aux.loss_seg": 0.26778, "aux.acc_seg": 62.07291, "loss": 0.85849, "time": 0.30095} +{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 17798, "data_time": 0.00518, "decode.loss_seg": 0.58962, "decode.acc_seg": 63.96441, "aux.loss_seg": 0.25984, "aux.acc_seg": 63.07548, "loss": 0.84946, "time": 0.30114} +{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 0.54498, "decode.acc_seg": 65.31375, "aux.loss_seg": 0.24178, "aux.acc_seg": 64.22747, "loss": 0.78676, "time": 0.30156} +{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 17798, "data_time": 0.00534, "decode.loss_seg": 0.58115, "decode.acc_seg": 63.10473, "aux.loss_seg": 0.25903, "aux.acc_seg": 62.15206, "loss": 0.84019, "time": 0.30059} +{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.58007, "decode.acc_seg": 63.64898, "aux.loss_seg": 0.25966, "aux.acc_seg": 62.46383, "loss": 0.83973, "time": 0.30151} +{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.59817, "decode.acc_seg": 62.42653, "aux.loss_seg": 0.26043, "aux.acc_seg": 61.4812, "loss": 0.8586, "time": 0.30102} +{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 17798, "data_time": 0.00519, "decode.loss_seg": 0.55225, "decode.acc_seg": 63.60921, "aux.loss_seg": 0.2459, "aux.acc_seg": 62.4713, "loss": 0.79815, "time": 0.30137} +{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.57357, "decode.acc_seg": 64.44073, "aux.loss_seg": 0.25558, "aux.acc_seg": 63.07343, "loss": 0.82915, "time": 0.30239} +{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 0.60729, "decode.acc_seg": 64.33237, "aux.loss_seg": 0.26644, "aux.acc_seg": 63.58149, "loss": 0.87373, "time": 0.30183} +{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 17798, "data_time": 0.00585, "decode.loss_seg": 0.59885, "decode.acc_seg": 63.04112, "aux.loss_seg": 0.26274, "aux.acc_seg": 62.26548, "loss": 0.8616, "time": 0.30182} +{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 17798, "data_time": 0.00562, "decode.loss_seg": 0.58733, "decode.acc_seg": 63.59214, "aux.loss_seg": 0.26137, "aux.acc_seg": 62.35158, "loss": 0.84871, "time": 0.30119} +{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.61673, "decode.acc_seg": 63.99055, "aux.loss_seg": 0.27404, "aux.acc_seg": 62.71829, "loss": 0.89077, "time": 0.30101} +{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.59312, "decode.acc_seg": 64.42118, "aux.loss_seg": 0.26199, "aux.acc_seg": 63.20569, "loss": 0.85511, "time": 0.3008} +{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 0.56779, "decode.acc_seg": 64.50654, "aux.loss_seg": 0.25329, "aux.acc_seg": 63.5876, "loss": 0.82108, "time": 0.30012} +{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 17798, "data_time": 0.00569, "decode.loss_seg": 0.557, "decode.acc_seg": 62.81511, "aux.loss_seg": 0.2471, "aux.acc_seg": 61.6447, "loss": 0.8041, "time": 0.29976} +{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 17798, "data_time": 0.00582, "decode.loss_seg": 0.5829, "decode.acc_seg": 64.40248, "aux.loss_seg": 0.25746, "aux.acc_seg": 63.53047, "loss": 0.84036, "time": 0.30128} +{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 17798, "data_time": 0.00596, "decode.loss_seg": 0.55376, "decode.acc_seg": 62.48585, "aux.loss_seg": 0.24897, "aux.acc_seg": 61.06094, "loss": 0.80273, "time": 0.3018} +{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 17798, "data_time": 0.00607, "decode.loss_seg": 0.57731, "decode.acc_seg": 62.88986, "aux.loss_seg": 0.25717, "aux.acc_seg": 61.72292, "loss": 0.83448, "time": 0.30097} +{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 17798, "data_time": 0.00593, "decode.loss_seg": 0.59861, "decode.acc_seg": 64.61081, "aux.loss_seg": 0.26667, "aux.acc_seg": 63.26, "loss": 0.86528, "time": 0.30058} +{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 17798, "data_time": 0.14175, "decode.loss_seg": 0.53491, "decode.acc_seg": 65.74517, "aux.loss_seg": 0.23822, "aux.acc_seg": 64.81275, "loss": 0.77313, "time": 0.46807} +{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 17798, "data_time": 0.00507, "decode.loss_seg": 0.54637, "decode.acc_seg": 65.23321, "aux.loss_seg": 0.24751, "aux.acc_seg": 63.85621, "loss": 0.79388, "time": 0.3041} +{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.55733, "decode.acc_seg": 64.18631, "aux.loss_seg": 0.25173, "aux.acc_seg": 62.97665, "loss": 0.80905, "time": 0.30149} +{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 17798, "data_time": 0.00534, "decode.loss_seg": 0.53649, "decode.acc_seg": 64.41443, "aux.loss_seg": 0.24195, "aux.acc_seg": 63.18414, "loss": 0.77844, "time": 0.30131} +{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.52624, "decode.acc_seg": 65.55171, "aux.loss_seg": 0.23738, "aux.acc_seg": 64.27468, "loss": 0.76361, "time": 0.30076} +{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 0.55219, "decode.acc_seg": 62.99036, "aux.loss_seg": 0.24857, "aux.acc_seg": 61.77597, "loss": 0.80076, "time": 0.30081} +{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.54918, "decode.acc_seg": 63.37751, "aux.loss_seg": 0.24153, "aux.acc_seg": 62.46937, "loss": 0.79071, "time": 0.30177} +{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 17798, "data_time": 0.00532, "decode.loss_seg": 0.59107, "decode.acc_seg": 64.06436, "aux.loss_seg": 0.26084, "aux.acc_seg": 62.82327, "loss": 0.85191, "time": 0.3018} +{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 17798, "data_time": 0.00548, "decode.loss_seg": 0.53726, "decode.acc_seg": 64.87805, "aux.loss_seg": 0.23761, "aux.acc_seg": 64.01543, "loss": 0.77487, "time": 0.30347} +{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.54567, "decode.acc_seg": 64.26801, "aux.loss_seg": 0.24394, "aux.acc_seg": 63.06104, "loss": 0.78961, "time": 0.30179} +{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 0.569, "decode.acc_seg": 64.83595, "aux.loss_seg": 0.2516, "aux.acc_seg": 63.76467, "loss": 0.82061, "time": 0.3025} +{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.55381, "decode.acc_seg": 64.77461, "aux.loss_seg": 0.24865, "aux.acc_seg": 63.72622, "loss": 0.80246, "time": 0.30155} +{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 17798, "data_time": 0.00548, "decode.loss_seg": 0.59277, "decode.acc_seg": 64.30296, "aux.loss_seg": 0.26273, "aux.acc_seg": 63.24226, "loss": 0.85551, "time": 0.30106} +{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.56507, "decode.acc_seg": 63.10417, "aux.loss_seg": 0.25056, "aux.acc_seg": 62.02672, "loss": 0.81564, "time": 0.30151} +{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 0.5326, "decode.acc_seg": 65.71154, "aux.loss_seg": 0.23884, "aux.acc_seg": 64.42623, "loss": 0.77143, "time": 0.30057} +{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 0.53115, "decode.acc_seg": 64.61053, "aux.loss_seg": 0.23696, "aux.acc_seg": 63.3873, "loss": 0.76811, "time": 0.3024} +{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.54591, "decode.acc_seg": 63.93498, "aux.loss_seg": 0.24255, "aux.acc_seg": 62.7837, "loss": 0.78847, "time": 0.30327} +{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 17798, "data_time": 0.00503, "decode.loss_seg": 0.54398, "decode.acc_seg": 64.40721, "aux.loss_seg": 0.24222, "aux.acc_seg": 63.39045, "loss": 0.78621, "time": 0.30029} +{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 17798, "data_time": 0.00504, "decode.loss_seg": 0.56968, "decode.acc_seg": 64.82624, "aux.loss_seg": 0.25394, "aux.acc_seg": 63.48719, "loss": 0.82362, "time": 0.30161} +{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 17798, "data_time": 0.00499, "decode.loss_seg": 0.55526, "decode.acc_seg": 63.6025, "aux.loss_seg": 0.24444, "aux.acc_seg": 62.50021, "loss": 0.7997, "time": 0.30123} +{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 17798, "data_time": 0.00507, "decode.loss_seg": 0.51862, "decode.acc_seg": 64.75753, "aux.loss_seg": 0.23185, "aux.acc_seg": 63.72223, "loss": 0.75047, "time": 0.30096} +{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 0.5488, "decode.acc_seg": 64.29303, "aux.loss_seg": 0.24612, "aux.acc_seg": 62.8505, "loss": 0.79492, "time": 0.30195} +{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 17798, "data_time": 0.00506, "decode.loss_seg": 0.56766, "decode.acc_seg": 63.04054, "aux.loss_seg": 0.24926, "aux.acc_seg": 62.33916, "loss": 0.81692, "time": 0.30148} +{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 17798, "data_time": 0.00512, "decode.loss_seg": 0.55277, "decode.acc_seg": 62.99917, "aux.loss_seg": 0.24109, "aux.acc_seg": 62.01752, "loss": 0.79387, "time": 0.30152} +{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 17798, "data_time": 0.00495, "decode.loss_seg": 0.545, "decode.acc_seg": 64.64883, "aux.loss_seg": 0.24407, "aux.acc_seg": 63.14672, "loss": 0.78908, "time": 0.30198} +{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 17798, "data_time": 0.15244, "decode.loss_seg": 0.53648, "decode.acc_seg": 63.9264, "aux.loss_seg": 0.2392, "aux.acc_seg": 62.76444, "loss": 0.77568, "time": 0.46965} +{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 17798, "data_time": 0.00497, "decode.loss_seg": 0.56286, "decode.acc_seg": 65.12853, "aux.loss_seg": 0.24957, "aux.acc_seg": 63.79837, "loss": 0.81243, "time": 0.30118} +{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 17798, "data_time": 0.0049, "decode.loss_seg": 0.51579, "decode.acc_seg": 64.97732, "aux.loss_seg": 0.23139, "aux.acc_seg": 63.7551, "loss": 0.74719, "time": 0.30097} +{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 17798, "data_time": 0.00492, "decode.loss_seg": 0.51861, "decode.acc_seg": 66.55488, "aux.loss_seg": 0.23138, "aux.acc_seg": 65.34514, "loss": 0.74999, "time": 0.30068} +{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.51159, "decode.acc_seg": 64.52107, "aux.loss_seg": 0.22753, "aux.acc_seg": 63.44509, "loss": 0.73912, "time": 0.30007} +{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.47629, "decode.acc_seg": 65.21924, "aux.loss_seg": 0.21485, "aux.acc_seg": 63.92024, "loss": 0.69114, "time": 0.29996} +{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.53423, "decode.acc_seg": 64.63935, "aux.loss_seg": 0.23681, "aux.acc_seg": 63.78907, "loss": 0.77104, "time": 0.30024} +{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 17798, "data_time": 0.00516, "decode.loss_seg": 0.54273, "decode.acc_seg": 65.28382, "aux.loss_seg": 0.24339, "aux.acc_seg": 64.16195, "loss": 0.78612, "time": 0.30051} +{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.55502, "decode.acc_seg": 65.14189, "aux.loss_seg": 0.24665, "aux.acc_seg": 64.14016, "loss": 0.80167, "time": 0.30009} +{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.50179, "decode.acc_seg": 64.9477, "aux.loss_seg": 0.22593, "aux.acc_seg": 63.73505, "loss": 0.72772, "time": 0.30069} +{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 17798, "data_time": 0.00531, "decode.loss_seg": 0.53211, "decode.acc_seg": 64.11298, "aux.loss_seg": 0.2372, "aux.acc_seg": 62.81808, "loss": 0.76932, "time": 0.30156} +{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 17798, "data_time": 0.00515, "decode.loss_seg": 0.50495, "decode.acc_seg": 65.64936, "aux.loss_seg": 0.22579, "aux.acc_seg": 64.67585, "loss": 0.73073, "time": 0.30091} +{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.54269, "decode.acc_seg": 65.06159, "aux.loss_seg": 0.24316, "aux.acc_seg": 63.66928, "loss": 0.78585, "time": 0.30023} +{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.52334, "decode.acc_seg": 64.13023, "aux.loss_seg": 0.23446, "aux.acc_seg": 62.66617, "loss": 0.75779, "time": 0.30046} +{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.51252, "decode.acc_seg": 65.61693, "aux.loss_seg": 0.22992, "aux.acc_seg": 64.41498, "loss": 0.74243, "time": 0.29924} +{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 17798, "data_time": 0.00504, "decode.loss_seg": 0.5014, "decode.acc_seg": 65.758, "aux.loss_seg": 0.22816, "aux.acc_seg": 64.33448, "loss": 0.72955, "time": 0.30176} +{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 17798, "data_time": 0.00519, "decode.loss_seg": 0.52873, "decode.acc_seg": 64.4794, "aux.loss_seg": 0.2344, "aux.acc_seg": 63.30418, "loss": 0.76313, "time": 0.30063} +{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 17798, "data_time": 0.00508, "decode.loss_seg": 0.55376, "decode.acc_seg": 64.96925, "aux.loss_seg": 0.24636, "aux.acc_seg": 63.78612, "loss": 0.80012, "time": 0.29942} +{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 17798, "data_time": 0.00515, "decode.loss_seg": 0.58018, "decode.acc_seg": 64.42531, "aux.loss_seg": 0.25645, "aux.acc_seg": 63.49602, "loss": 0.83663, "time": 0.29943} +{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.50992, "decode.acc_seg": 64.85846, "aux.loss_seg": 0.22784, "aux.acc_seg": 63.57706, "loss": 0.73776, "time": 0.29946} +{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 17798, "data_time": 0.0054, "decode.loss_seg": 0.51245, "decode.acc_seg": 64.14274, "aux.loss_seg": 0.22886, "aux.acc_seg": 63.11129, "loss": 0.74131, "time": 0.29965} +{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.49253, "decode.acc_seg": 63.97005, "aux.loss_seg": 0.22111, "aux.acc_seg": 62.77039, "loss": 0.71365, "time": 0.29971} +{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.5248, "decode.acc_seg": 65.57469, "aux.loss_seg": 0.23324, "aux.acc_seg": 64.39203, "loss": 0.75804, "time": 0.3008} +{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.52, "decode.acc_seg": 65.38927, "aux.loss_seg": 0.22904, "aux.acc_seg": 64.28524, "loss": 0.74904, "time": 0.30054} +{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 17798, "data_time": 0.00516, "decode.loss_seg": 0.52849, "decode.acc_seg": 65.13812, "aux.loss_seg": 0.23572, "aux.acc_seg": 64.01351, "loss": 0.76422, "time": 0.30064} +{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 17798, "data_time": 0.1508, "decode.loss_seg": 0.52728, "decode.acc_seg": 65.31714, "aux.loss_seg": 0.23395, "aux.acc_seg": 64.45704, "loss": 0.76123, "time": 0.46496} +{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.48559, "decode.acc_seg": 66.16169, "aux.loss_seg": 0.21749, "aux.acc_seg": 64.93982, "loss": 0.70308, "time": 0.30102} +{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 17798, "data_time": 0.00552, "decode.loss_seg": 0.50319, "decode.acc_seg": 64.64983, "aux.loss_seg": 0.22888, "aux.acc_seg": 63.24785, "loss": 0.73207, "time": 0.30042} +{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.49594, "decode.acc_seg": 65.73467, "aux.loss_seg": 0.22184, "aux.acc_seg": 64.59318, "loss": 0.71778, "time": 0.30052} +{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.49473, "decode.acc_seg": 64.91546, "aux.loss_seg": 0.22355, "aux.acc_seg": 63.74439, "loss": 0.71828, "time": 0.30044} +{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.50698, "decode.acc_seg": 64.48075, "aux.loss_seg": 0.22614, "aux.acc_seg": 63.30209, "loss": 0.73313, "time": 0.30021} +{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 17798, "data_time": 0.00535, "decode.loss_seg": 0.53549, "decode.acc_seg": 64.44777, "aux.loss_seg": 0.24114, "aux.acc_seg": 63.1095, "loss": 0.77663, "time": 0.30003} +{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 0.52037, "decode.acc_seg": 65.4535, "aux.loss_seg": 0.23593, "aux.acc_seg": 64.19729, "loss": 0.75629, "time": 0.3002} +{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 17798, "data_time": 0.00544, "decode.loss_seg": 0.45011, "decode.acc_seg": 65.28233, "aux.loss_seg": 0.20197, "aux.acc_seg": 64.26156, "loss": 0.65208, "time": 0.30151} +{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 17798, "data_time": 0.00554, "decode.loss_seg": 0.4822, "decode.acc_seg": 64.88565, "aux.loss_seg": 0.21686, "aux.acc_seg": 63.97606, "loss": 0.69906, "time": 0.30334} +{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 17798, "data_time": 0.00567, "decode.loss_seg": 0.5078, "decode.acc_seg": 65.06943, "aux.loss_seg": 0.2263, "aux.acc_seg": 63.70541, "loss": 0.7341, "time": 0.30347} +{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.47551, "decode.acc_seg": 66.6999, "aux.loss_seg": 0.21667, "aux.acc_seg": 65.32934, "loss": 0.69218, "time": 0.30234} +{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.5035, "decode.acc_seg": 64.60983, "aux.loss_seg": 0.22271, "aux.acc_seg": 63.6436, "loss": 0.72622, "time": 0.3009} +{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.51841, "decode.acc_seg": 63.47813, "aux.loss_seg": 0.23004, "aux.acc_seg": 62.60643, "loss": 0.74845, "time": 0.3012} +{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 17798, "data_time": 0.00584, "decode.loss_seg": 0.5274, "decode.acc_seg": 64.87309, "aux.loss_seg": 0.23356, "aux.acc_seg": 63.79627, "loss": 0.76096, "time": 0.30154} +{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 17798, "data_time": 0.00579, "decode.loss_seg": 0.54179, "decode.acc_seg": 64.68042, "aux.loss_seg": 0.23927, "aux.acc_seg": 63.90109, "loss": 0.78106, "time": 0.30092} +{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 17798, "data_time": 0.00581, "decode.loss_seg": 0.48838, "decode.acc_seg": 67.19999, "aux.loss_seg": 0.21905, "aux.acc_seg": 65.99165, "loss": 0.70743, "time": 0.30092} +{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 17798, "data_time": 0.00594, "decode.loss_seg": 0.51676, "decode.acc_seg": 64.3784, "aux.loss_seg": 0.23156, "aux.acc_seg": 63.11725, "loss": 0.74832, "time": 0.30045} +{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 17798, "data_time": 0.00589, "decode.loss_seg": 0.51536, "decode.acc_seg": 64.80347, "aux.loss_seg": 0.22847, "aux.acc_seg": 64.04853, "loss": 0.74383, "time": 0.30133} +{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 0.50734, "decode.acc_seg": 65.32416, "aux.loss_seg": 0.22261, "aux.acc_seg": 64.36359, "loss": 0.72995, "time": 0.30158} +{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.48581, "decode.acc_seg": 64.28133, "aux.loss_seg": 0.21374, "aux.acc_seg": 63.35978, "loss": 0.69955, "time": 0.3011} +{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.50748, "decode.acc_seg": 64.90645, "aux.loss_seg": 0.2276, "aux.acc_seg": 64.00415, "loss": 0.73508, "time": 0.3009} +{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 17798, "data_time": 0.00569, "decode.loss_seg": 0.50621, "decode.acc_seg": 66.05234, "aux.loss_seg": 0.22587, "aux.acc_seg": 64.77972, "loss": 0.73208, "time": 0.30133} +{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 17798, "data_time": 0.00569, "decode.loss_seg": 0.48588, "decode.acc_seg": 65.91494, "aux.loss_seg": 0.21813, "aux.acc_seg": 64.76894, "loss": 0.70401, "time": 0.30127} +{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 17798, "data_time": 0.00576, "decode.loss_seg": 0.51453, "decode.acc_seg": 65.91845, "aux.loss_seg": 0.22658, "aux.acc_seg": 65.11203, "loss": 0.7411, "time": 0.30168} +{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 17798, "data_time": 0.1432, "decode.loss_seg": 0.5094, "decode.acc_seg": 64.70773, "aux.loss_seg": 0.227, "aux.acc_seg": 63.41099, "loss": 0.73639, "time": 0.46317} +{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.4992, "decode.acc_seg": 66.04078, "aux.loss_seg": 0.22524, "aux.acc_seg": 64.81321, "loss": 0.72444, "time": 0.30026} +{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.48067, "decode.acc_seg": 66.17306, "aux.loss_seg": 0.21421, "aux.acc_seg": 65.08327, "loss": 0.69488, "time": 0.29975} +{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 17798, "data_time": 0.0055, "decode.loss_seg": 0.45806, "decode.acc_seg": 66.13641, "aux.loss_seg": 0.20681, "aux.acc_seg": 64.88941, "loss": 0.66487, "time": 0.30019} +{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 17798, "data_time": 0.00533, "decode.loss_seg": 0.50498, "decode.acc_seg": 65.58439, "aux.loss_seg": 0.22573, "aux.acc_seg": 64.41977, "loss": 0.73071, "time": 0.30159} +{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.49615, "decode.acc_seg": 66.217, "aux.loss_seg": 0.22353, "aux.acc_seg": 64.77533, "loss": 0.71968, "time": 0.30152} +{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 0.5078, "decode.acc_seg": 64.49013, "aux.loss_seg": 0.22798, "aux.acc_seg": 63.40128, "loss": 0.73578, "time": 0.30041} +{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 17798, "data_time": 0.0055, "decode.loss_seg": 0.48507, "decode.acc_seg": 66.11448, "aux.loss_seg": 0.22061, "aux.acc_seg": 64.86895, "loss": 0.70568, "time": 0.30094} +{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.47076, "decode.acc_seg": 65.4485, "aux.loss_seg": 0.21097, "aux.acc_seg": 64.20408, "loss": 0.68172, "time": 0.30109} +{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.48526, "decode.acc_seg": 64.66767, "aux.loss_seg": 0.21871, "aux.acc_seg": 63.60404, "loss": 0.70397, "time": 0.30089} +{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.47815, "decode.acc_seg": 65.65275, "aux.loss_seg": 0.21452, "aux.acc_seg": 64.56942, "loss": 0.69267, "time": 0.30111} +{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 17798, "data_time": 0.00552, "decode.loss_seg": 0.49166, "decode.acc_seg": 65.23082, "aux.loss_seg": 0.21809, "aux.acc_seg": 64.2269, "loss": 0.70975, "time": 0.30078} +{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.48635, "decode.acc_seg": 66.36723, "aux.loss_seg": 0.21614, "aux.acc_seg": 65.40348, "loss": 0.70249, "time": 0.30089} +{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 17798, "data_time": 0.00578, "decode.loss_seg": 0.5075, "decode.acc_seg": 66.44311, "aux.loss_seg": 0.22416, "aux.acc_seg": 65.52735, "loss": 0.73165, "time": 0.30116} +{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.48062, "decode.acc_seg": 64.46024, "aux.loss_seg": 0.21588, "aux.acc_seg": 63.28904, "loss": 0.69649, "time": 0.30034} +{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.49936, "decode.acc_seg": 64.67448, "aux.loss_seg": 0.22208, "aux.acc_seg": 63.57212, "loss": 0.72144, "time": 0.30068} +{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 17798, "data_time": 0.00557, "decode.loss_seg": 0.50302, "decode.acc_seg": 67.14135, "aux.loss_seg": 0.22421, "aux.acc_seg": 65.87189, "loss": 0.72723, "time": 0.30172} +{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 17798, "data_time": 0.00552, "decode.loss_seg": 0.53118, "decode.acc_seg": 65.23146, "aux.loss_seg": 0.2362, "aux.acc_seg": 63.94141, "loss": 0.76739, "time": 0.3014} +{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.51944, "decode.acc_seg": 66.68078, "aux.loss_seg": 0.22878, "aux.acc_seg": 66.05162, "loss": 0.74822, "time": 0.30033} +{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.50907, "decode.acc_seg": 64.43207, "aux.loss_seg": 0.22557, "aux.acc_seg": 63.51559, "loss": 0.73464, "time": 0.30186} +{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 17798, "data_time": 0.00514, "decode.loss_seg": 0.50699, "decode.acc_seg": 65.74895, "aux.loss_seg": 0.22656, "aux.acc_seg": 64.55417, "loss": 0.73355, "time": 0.30098} +{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.48395, "decode.acc_seg": 65.38245, "aux.loss_seg": 0.21802, "aux.acc_seg": 64.15309, "loss": 0.70197, "time": 0.30241} +{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.49291, "decode.acc_seg": 65.40593, "aux.loss_seg": 0.22221, "aux.acc_seg": 63.9025, "loss": 0.71512, "time": 0.30098} +{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 17798, "data_time": 0.00535, "decode.loss_seg": 0.50367, "decode.acc_seg": 63.84205, "aux.loss_seg": 0.21875, "aux.acc_seg": 63.11885, "loss": 0.72241, "time": 0.30131} +{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.48596, "decode.acc_seg": 65.94728, "aux.loss_seg": 0.22225, "aux.acc_seg": 64.48344, "loss": 0.7082, "time": 0.30109} +{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.5109, "decode.acc_seg": 66.33181, "aux.loss_seg": 0.22902, "aux.acc_seg": 65.16632, "loss": 0.73992, "time": 0.30123} +{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 17798, "data_time": 0.14572, "decode.loss_seg": 0.49728, "decode.acc_seg": 66.15071, "aux.loss_seg": 0.2227, "aux.acc_seg": 65.05474, "loss": 0.71998, "time": 0.46578} +{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 17798, "data_time": 0.00436, "decode.loss_seg": 0.45499, "decode.acc_seg": 66.36468, "aux.loss_seg": 0.20744, "aux.acc_seg": 65.07352, "loss": 0.66243, "time": 0.29998} +{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 17798, "data_time": 0.00467, "decode.loss_seg": 0.50385, "decode.acc_seg": 65.75409, "aux.loss_seg": 0.22777, "aux.acc_seg": 64.81214, "loss": 0.73162, "time": 0.30027} +{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 17798, "data_time": 0.00455, "decode.loss_seg": 0.46319, "decode.acc_seg": 66.84608, "aux.loss_seg": 0.21151, "aux.acc_seg": 65.35285, "loss": 0.67469, "time": 0.30001} +{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 17798, "data_time": 0.00456, "decode.loss_seg": 0.44399, "decode.acc_seg": 66.49673, "aux.loss_seg": 0.20363, "aux.acc_seg": 65.09049, "loss": 0.64763, "time": 0.30038} +{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 17798, "data_time": 0.00453, "decode.loss_seg": 0.4703, "decode.acc_seg": 65.75602, "aux.loss_seg": 0.21117, "aux.acc_seg": 64.66776, "loss": 0.68147, "time": 0.30007} +{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 17798, "data_time": 0.00449, "decode.loss_seg": 0.44776, "decode.acc_seg": 67.93975, "aux.loss_seg": 0.20089, "aux.acc_seg": 66.88065, "loss": 0.64864, "time": 0.30132} +{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 17798, "data_time": 0.00439, "decode.loss_seg": 0.47959, "decode.acc_seg": 65.05378, "aux.loss_seg": 0.21219, "aux.acc_seg": 63.96962, "loss": 0.69178, "time": 0.30028} +{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 17798, "data_time": 0.00446, "decode.loss_seg": 0.48496, "decode.acc_seg": 66.03565, "aux.loss_seg": 0.21735, "aux.acc_seg": 64.96336, "loss": 0.70231, "time": 0.30067} +{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 17798, "data_time": 0.00456, "decode.loss_seg": 0.49338, "decode.acc_seg": 66.00748, "aux.loss_seg": 0.22153, "aux.acc_seg": 64.93892, "loss": 0.71492, "time": 0.3002} +{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 17798, "data_time": 0.00429, "decode.loss_seg": 0.4735, "decode.acc_seg": 65.10467, "aux.loss_seg": 0.21472, "aux.acc_seg": 63.92927, "loss": 0.68823, "time": 0.30059} +{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 17798, "data_time": 0.00428, "decode.loss_seg": 0.46108, "decode.acc_seg": 67.23931, "aux.loss_seg": 0.207, "aux.acc_seg": 66.15902, "loss": 0.66808, "time": 0.30081} +{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 17798, "data_time": 0.00424, "decode.loss_seg": 0.45963, "decode.acc_seg": 65.98181, "aux.loss_seg": 0.20838, "aux.acc_seg": 64.92942, "loss": 0.66801, "time": 0.30225} +{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 17798, "data_time": 0.0041, "decode.loss_seg": 0.46904, "decode.acc_seg": 67.24681, "aux.loss_seg": 0.21502, "aux.acc_seg": 65.73709, "loss": 0.68405, "time": 0.3008} +{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 17798, "data_time": 0.00416, "decode.loss_seg": 0.44419, "decode.acc_seg": 68.39528, "aux.loss_seg": 0.19942, "aux.acc_seg": 67.14561, "loss": 0.64361, "time": 0.29947} +{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 17798, "data_time": 0.00425, "decode.loss_seg": 0.47393, "decode.acc_seg": 66.07052, "aux.loss_seg": 0.21058, "aux.acc_seg": 65.10158, "loss": 0.68451, "time": 0.29942} +{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.434, "mAcc": 0.5618, "aAcc": 0.802, "IoU.wall": 0.7283, "IoU.building": 0.7925, "IoU.sky": 0.9366, "IoU.floor": 0.7899, "IoU.tree": 0.7312, "IoU.ceiling": 0.8102, "IoU.road": 0.796, "IoU.bed ": 0.8094, "IoU.windowpane": 0.5693, "IoU.grass": 0.6602, "IoU.cabinet": 0.5289, "IoU.sidewalk": 0.5891, "IoU.person": 0.7554, "IoU.earth": 0.3693, "IoU.door": 0.412, "IoU.table": 0.5022, "IoU.mountain": 0.5148, "IoU.plant": 0.4968, "IoU.curtain": 0.6609, "IoU.chair": 0.4639, "IoU.car": 0.8114, "IoU.water": 0.587, "IoU.painting": 0.6559, "IoU.sofa": 0.5632, "IoU.shelf": 0.3745, "IoU.house": 0.4987, "IoU.sea": 0.6546, "IoU.mirror": 0.5211, "IoU.rug": 0.6429, "IoU.field": 0.3179, "IoU.armchair": 0.3458, "IoU.seat": 0.5971, "IoU.fence": 0.3902, "IoU.desk": 0.3831, "IoU.rock": 0.4387, "IoU.wardrobe": 0.4199, "IoU.lamp": 0.5038, "IoU.bathtub": 0.6437, "IoU.railing": 0.3388, "IoU.cushion": 0.4095, "IoU.base": 0.303, "IoU.box": 0.2302, "IoU.column": 0.4282, "IoU.signboard": 0.3259, "IoU.chest of drawers": 0.3741, "IoU.counter": 0.281, "IoU.sand": 0.3241, "IoU.sink": 0.6223, "IoU.skyscraper": 0.5288, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5065, "IoU.grandstand": 0.4411, "IoU.path": 0.242, "IoU.stairs": 0.3216, "IoU.runway": 0.702, "IoU.case": 0.5627, "IoU.pool table": 0.8886, "IoU.pillow": 0.4276, "IoU.screen door": 0.5814, "IoU.stairway": 0.3447, "IoU.river": 0.1284, "IoU.bridge": 0.4342, "IoU.bookcase": 0.3194, "IoU.blind": NaN, "IoU.coffee table": 0.4544, "IoU.toilet": 0.7783, "IoU.flower": 0.3493, "IoU.book": 0.45, "IoU.hill": 0.1231, "IoU.bench": 0.4237, "IoU.countertop": 0.5191, "IoU.stove": 0.5966, "IoU.palm": 0.4414, "IoU.kitchen island": 0.2933, "IoU.computer": 0.6421, "IoU.swivel chair": 0.4077, "IoU.boat": 0.4819, "IoU.bar": 0.3108, "IoU.arcade machine": 0.8081, "IoU.hovel": 0.5145, "IoU.bus": 0.8205, "IoU.towel": 0.5818, "IoU.light": 0.4309, "IoU.truck": 0.2404, "IoU.tower": 0.1474, "IoU.chandelier": 0.5693, "IoU.awning": 0.2001, "IoU.streetlight": 0.1475, "IoU.booth": 0.4679, "IoU.television receiver": NaN, "IoU.airplane": 0.5791, "IoU.dirt track": 0.0478, "IoU.apparel": 0.2622, "IoU.pole": 0.1084, "IoU.land": 0.0739, "IoU.bannister": 0.0426, "IoU.escalator": 0.3196, "IoU.ottoman": 0.341, "IoU.bottle": NaN, "IoU.buffet": 0.4547, "IoU.poster": 0.1373, "IoU.stage": 0.0736, "IoU.van": 0.3847, "IoU.ship": 0.6226, "IoU.fountain": 0.1598, "IoU.conveyer belt": 0.5794, "IoU.canopy": 0.3049, "IoU.washer": 0.7075, "IoU.plaything": 0.2028, "IoU.swimming pool": 0.6734, "IoU.stool": 0.1919, "IoU.barrel": 0.4562, "IoU.basket": 0.251, "IoU.waterfall": 0.7673, "IoU.tent": 0.8907, "IoU.bag": 0.0568, "IoU.minibike": 0.6519, "IoU.cradle": NaN, "IoU.oven": 0.1115, "IoU.ball": 0.4644, "IoU.food": 0.4265, "IoU.step": 0.0018, "IoU.tank": 0.5054, "IoU.trade name": 0.2234, "IoU.microwave": 0.6576, "IoU.pot": 0.4635, "IoU.animal": NaN, "IoU.bicycle": 0.5463, "IoU.lake": 0.0648, "IoU.dishwasher": 0.4218, "IoU.screen": 0.6054, "IoU.blanket": 0.0175, "IoU.sculpture": 0.4252, "IoU.hood": 0.3676, "IoU.sconce": 0.1413, "IoU.vase": 0.2924, "IoU.traffic light": 0.1898, "IoU.tray": 0.0134, "IoU.ashcan": 0.3815, "IoU.fan": 0.4834, "IoU.pier": 0.5653, "IoU.crt screen": 0.0026, "IoU.plate": 0.4649, "IoU.monitor": 0.1195, "IoU.bulletin board": 0.435, "IoU.shower": 0.0, "IoU.radiator": 0.5023, "IoU.glass": 0.0612, "IoU.clock": 0.311, "IoU.flag": 0.3498, "Acc.wall": 0.8601, "Acc.building": 0.9188, "Acc.sky": 0.9662, "Acc.floor": 0.8667, "Acc.tree": 0.8781, "Acc.ceiling": 0.8801, "Acc.road": 0.8718, "Acc.bed ": 0.9475, "Acc.windowpane": 0.7267, "Acc.grass": 0.7695, "Acc.cabinet": 0.6497, "Acc.sidewalk": 0.7623, "Acc.person": 0.8761, "Acc.earth": 0.5438, "Acc.door": 0.5494, "Acc.table": 0.638, "Acc.mountain": 0.6103, "Acc.plant": 0.6012, "Acc.curtain": 0.8424, "Acc.chair": 0.5896, "Acc.car": 0.9045, "Acc.water": 0.8137, "Acc.painting": 0.8084, "Acc.sofa": 0.7477, "Acc.shelf": 0.5137, "Acc.house": 0.7769, "Acc.sea": 0.7879, "Acc.mirror": 0.6623, "Acc.rug": 0.8286, "Acc.field": 0.5402, "Acc.armchair": 0.546, "Acc.seat": 0.7733, "Acc.fence": 0.4971, "Acc.desk": 0.5596, "Acc.rock": 0.701, "Acc.wardrobe": 0.5382, "Acc.lamp": 0.6726, "Acc.bathtub": 0.7822, "Acc.railing": 0.4906, "Acc.cushion": 0.4665, "Acc.base": 0.4616, "Acc.box": 0.2942, "Acc.column": 0.5591, "Acc.signboard": 0.4367, "Acc.chest of drawers": 0.5515, "Acc.counter": 0.3704, "Acc.sand": 0.5159, "Acc.sink": 0.7341, "Acc.skyscraper": 0.6664, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8688, "Acc.grandstand": 0.7458, "Acc.path": 0.349, "Acc.stairs": 0.3648, "Acc.runway": 0.9611, "Acc.case": 0.7554, "Acc.pool table": 0.9499, "Acc.pillow": 0.5263, "Acc.screen door": 0.744, "Acc.stairway": 0.3871, "Acc.river": 0.165, "Acc.bridge": 0.5361, "Acc.bookcase": 0.3899, "Acc.blind": NaN, "Acc.coffee table": 0.7792, "Acc.toilet": 0.8747, "Acc.flower": 0.4731, "Acc.book": 0.6248, "Acc.hill": 0.2195, "Acc.bench": 0.5847, "Acc.countertop": 0.705, "Acc.stove": 0.7252, "Acc.palm": 0.6225, "Acc.kitchen island": 0.7746, "Acc.computer": 0.8189, "Acc.swivel chair": 0.5757, "Acc.boat": 0.5322, "Acc.bar": 0.4401, "Acc.arcade machine": 0.9466, "Acc.hovel": 0.5964, "Acc.bus": 0.9515, "Acc.towel": 0.745, "Acc.light": 0.4899, "Acc.truck": 0.3646, "Acc.tower": 0.2238, "Acc.chandelier": 0.7857, "Acc.awning": 0.2692, "Acc.streetlight": 0.1971, "Acc.booth": 0.5469, "Acc.television receiver": NaN, "Acc.airplane": 0.6704, "Acc.dirt track": 0.1659, "Acc.apparel": 0.4837, "Acc.pole": 0.1456, "Acc.land": 0.1012, "Acc.bannister": 0.0478, "Acc.escalator": 0.4553, "Acc.ottoman": 0.526, "Acc.bottle": NaN, "Acc.buffet": 0.5526, "Acc.poster": 0.1746, "Acc.stage": 0.1822, "Acc.van": 0.4705, "Acc.ship": 0.9323, "Acc.fountain": 0.1612, "Acc.conveyer belt": 0.9195, "Acc.canopy": 0.3654, "Acc.washer": 0.7826, "Acc.plaything": 0.3277, "Acc.swimming pool": 0.837, "Acc.stool": 0.2574, "Acc.barrel": 0.6364, "Acc.basket": 0.3934, "Acc.waterfall": 0.8972, "Acc.tent": 0.9877, "Acc.bag": 0.0584, "Acc.minibike": 0.805, "Acc.cradle": NaN, "Acc.oven": 0.1764, "Acc.ball": 0.5581, "Acc.food": 0.4746, "Acc.step": 0.002, "Acc.tank": 0.636, "Acc.trade name": 0.249, "Acc.microwave": 0.7763, "Acc.pot": 0.5249, "Acc.animal": NaN, "Acc.bicycle": 0.7547, "Acc.lake": 0.127, "Acc.dishwasher": 0.51, "Acc.screen": 0.8705, "Acc.blanket": 0.0195, "Acc.sculpture": 0.5328, "Acc.hood": 0.4798, "Acc.sconce": 0.1493, "Acc.vase": 0.4487, "Acc.traffic light": 0.3589, "Acc.tray": 0.0156, "Acc.ashcan": 0.5101, "Acc.fan": 0.746, "Acc.pier": 0.7336, "Acc.crt screen": 0.0065, "Acc.plate": 0.7249, "Acc.monitor": 0.1325, "Acc.bulletin board": 0.6458, "Acc.shower": 0.0, "Acc.radiator": 0.5637, "Acc.glass": 0.0647, "Acc.clock": 0.4349, "Acc.flag": 0.3761} +{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 36160, "data_time": 8.4395, "decode.loss_seg": 0.48674, "decode.acc_seg": 66.73432, "aux.loss_seg": 0.21922, "aux.acc_seg": 65.4062, "loss": 0.70597, "time": 8.74359} +{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.50655, "decode.acc_seg": 67.79923, "aux.loss_seg": 0.22813, "aux.acc_seg": 66.37061, "loss": 0.73468, "time": 0.30143} +{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 36160, "data_time": 0.00451, "decode.loss_seg": 0.48465, "decode.acc_seg": 66.75704, "aux.loss_seg": 0.21583, "aux.acc_seg": 65.90863, "loss": 0.70048, "time": 0.3009} +{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.47911, "decode.acc_seg": 66.35017, "aux.loss_seg": 0.21252, "aux.acc_seg": 65.3712, "loss": 0.69164, "time": 0.30408} +{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.48047, "decode.acc_seg": 65.48435, "aux.loss_seg": 0.21558, "aux.acc_seg": 64.10498, "loss": 0.69605, "time": 0.30267} +{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 36160, "data_time": 0.00442, "decode.loss_seg": 0.51343, "decode.acc_seg": 64.36737, "aux.loss_seg": 0.23134, "aux.acc_seg": 63.21726, "loss": 0.74477, "time": 0.30345} +{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.49327, "decode.acc_seg": 65.68424, "aux.loss_seg": 0.21876, "aux.acc_seg": 64.53647, "loss": 0.71203, "time": 0.30411} +{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.49796, "decode.acc_seg": 65.36798, "aux.loss_seg": 0.21997, "aux.acc_seg": 64.22014, "loss": 0.71793, "time": 0.30285} +{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 36160, "data_time": 0.17279, "decode.loss_seg": 0.45601, "decode.acc_seg": 65.88416, "aux.loss_seg": 0.20321, "aux.acc_seg": 64.78725, "loss": 0.65922, "time": 0.46963} +{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.48093, "decode.acc_seg": 66.7092, "aux.loss_seg": 0.21292, "aux.acc_seg": 65.87113, "loss": 0.69384, "time": 0.30194} +{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.44191, "decode.acc_seg": 67.85616, "aux.loss_seg": 0.19774, "aux.acc_seg": 66.83266, "loss": 0.63965, "time": 0.30021} +{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.44584, "decode.acc_seg": 67.45827, "aux.loss_seg": 0.19842, "aux.acc_seg": 66.56499, "loss": 0.64426, "time": 0.30041} +{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.45289, "decode.acc_seg": 66.922, "aux.loss_seg": 0.2057, "aux.acc_seg": 65.60509, "loss": 0.65859, "time": 0.30113} +{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.45937, "decode.acc_seg": 66.92967, "aux.loss_seg": 0.20737, "aux.acc_seg": 65.66682, "loss": 0.66675, "time": 0.30033} +{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.44708, "decode.acc_seg": 67.11556, "aux.loss_seg": 0.2058, "aux.acc_seg": 65.73894, "loss": 0.65288, "time": 0.30069} +{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.47874, "decode.acc_seg": 66.51109, "aux.loss_seg": 0.21567, "aux.acc_seg": 65.3321, "loss": 0.69441, "time": 0.30132} +{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.46521, "decode.acc_seg": 67.27788, "aux.loss_seg": 0.21018, "aux.acc_seg": 66.05833, "loss": 0.67539, "time": 0.30133} +{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.44432, "decode.acc_seg": 67.62067, "aux.loss_seg": 0.20046, "aux.acc_seg": 66.49667, "loss": 0.64478, "time": 0.30058} +{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.46427, "decode.acc_seg": 65.80446, "aux.loss_seg": 0.20615, "aux.acc_seg": 64.66771, "loss": 0.67042, "time": 0.30099} +{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.45514, "decode.acc_seg": 65.60991, "aux.loss_seg": 0.20323, "aux.acc_seg": 64.69861, "loss": 0.65837, "time": 0.30144} +{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.44925, "decode.acc_seg": 65.97823, "aux.loss_seg": 0.20616, "aux.acc_seg": 64.69353, "loss": 0.65541, "time": 0.30075} +{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.4581, "decode.acc_seg": 68.45117, "aux.loss_seg": 0.20393, "aux.acc_seg": 67.57807, "loss": 0.66204, "time": 0.3009} +{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.45195, "decode.acc_seg": 66.57443, "aux.loss_seg": 0.20268, "aux.acc_seg": 65.48366, "loss": 0.65463, "time": 0.30129} +{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.47824, "decode.acc_seg": 66.63474, "aux.loss_seg": 0.21339, "aux.acc_seg": 65.71171, "loss": 0.69163, "time": 0.30119} +{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.47011, "decode.acc_seg": 67.52844, "aux.loss_seg": 0.21168, "aux.acc_seg": 66.31766, "loss": 0.68178, "time": 0.30089} +{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.43844, "decode.acc_seg": 67.78679, "aux.loss_seg": 0.19857, "aux.acc_seg": 66.43252, "loss": 0.63701, "time": 0.30196} +{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.47337, "decode.acc_seg": 65.12833, "aux.loss_seg": 0.211, "aux.acc_seg": 64.02015, "loss": 0.68437, "time": 0.30175} +{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.47071, "decode.acc_seg": 66.34479, "aux.loss_seg": 0.2128, "aux.acc_seg": 64.97557, "loss": 0.68351, "time": 0.30161} +{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.4927, "decode.acc_seg": 65.19836, "aux.loss_seg": 0.22152, "aux.acc_seg": 64.10197, "loss": 0.71422, "time": 0.302} +{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.45803, "decode.acc_seg": 64.25961, "aux.loss_seg": 0.20219, "aux.acc_seg": 63.42775, "loss": 0.66021, "time": 0.30244} +{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.4608, "decode.acc_seg": 67.12829, "aux.loss_seg": 0.20644, "aux.acc_seg": 66.10623, "loss": 0.66724, "time": 0.30255} +{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.44526, "decode.acc_seg": 67.49077, "aux.loss_seg": 0.19907, "aux.acc_seg": 66.40157, "loss": 0.64433, "time": 0.30151} +{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.48917, "decode.acc_seg": 65.88383, "aux.loss_seg": 0.2164, "aux.acc_seg": 64.95498, "loss": 0.70557, "time": 0.30117} +{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 36160, "data_time": 0.17369, "decode.loss_seg": 0.45495, "decode.acc_seg": 67.18311, "aux.loss_seg": 0.20321, "aux.acc_seg": 66.34076, "loss": 0.65816, "time": 0.46939} +{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.43117, "decode.acc_seg": 67.00625, "aux.loss_seg": 0.19914, "aux.acc_seg": 65.58314, "loss": 0.63031, "time": 0.3005} +{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.43904, "decode.acc_seg": 68.66864, "aux.loss_seg": 0.19771, "aux.acc_seg": 67.70539, "loss": 0.63674, "time": 0.30033} +{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.44928, "decode.acc_seg": 66.21603, "aux.loss_seg": 0.19991, "aux.acc_seg": 65.11143, "loss": 0.64919, "time": 0.3001} +{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.44416, "decode.acc_seg": 67.99543, "aux.loss_seg": 0.20029, "aux.acc_seg": 66.68175, "loss": 0.64445, "time": 0.29974} +{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.43876, "decode.acc_seg": 65.81743, "aux.loss_seg": 0.20065, "aux.acc_seg": 64.60494, "loss": 0.63941, "time": 0.29945} +{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.43344, "decode.acc_seg": 67.32339, "aux.loss_seg": 0.19718, "aux.acc_seg": 66.29556, "loss": 0.63062, "time": 0.30038} +{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.46252, "decode.acc_seg": 66.2358, "aux.loss_seg": 0.20852, "aux.acc_seg": 65.06183, "loss": 0.67103, "time": 0.3005} +{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.45001, "decode.acc_seg": 67.59847, "aux.loss_seg": 0.20365, "aux.acc_seg": 66.52288, "loss": 0.65366, "time": 0.30029} +{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.45861, "decode.acc_seg": 67.7009, "aux.loss_seg": 0.20641, "aux.acc_seg": 66.87852, "loss": 0.66503, "time": 0.30043} +{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.42089, "decode.acc_seg": 66.63976, "aux.loss_seg": 0.19485, "aux.acc_seg": 65.20792, "loss": 0.61574, "time": 0.30067} +{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.44773, "decode.acc_seg": 68.15223, "aux.loss_seg": 0.2021, "aux.acc_seg": 66.85346, "loss": 0.64983, "time": 0.30077} +{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.44752, "decode.acc_seg": 65.28846, "aux.loss_seg": 0.20167, "aux.acc_seg": 64.17955, "loss": 0.64918, "time": 0.30018} +{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.44355, "decode.acc_seg": 66.92272, "aux.loss_seg": 0.20009, "aux.acc_seg": 65.82319, "loss": 0.64364, "time": 0.30093} +{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.4688, "decode.acc_seg": 68.49311, "aux.loss_seg": 0.21113, "aux.acc_seg": 67.56716, "loss": 0.67993, "time": 0.30074} +{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.41574, "decode.acc_seg": 67.27365, "aux.loss_seg": 0.187, "aux.acc_seg": 66.23162, "loss": 0.60275, "time": 0.30094} +{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.45312, "decode.acc_seg": 66.18591, "aux.loss_seg": 0.20544, "aux.acc_seg": 65.04892, "loss": 0.65856, "time": 0.30154} +{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.47656, "decode.acc_seg": 66.62729, "aux.loss_seg": 0.21632, "aux.acc_seg": 65.39347, "loss": 0.69288, "time": 0.30123} +{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.46301, "decode.acc_seg": 67.07634, "aux.loss_seg": 0.20967, "aux.acc_seg": 65.83115, "loss": 0.67267, "time": 0.30113} +{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.43748, "decode.acc_seg": 68.29811, "aux.loss_seg": 0.19839, "aux.acc_seg": 67.1423, "loss": 0.63587, "time": 0.30129} +{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.42398, "decode.acc_seg": 67.24299, "aux.loss_seg": 0.19418, "aux.acc_seg": 65.90217, "loss": 0.61816, "time": 0.30019} +{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.41503, "decode.acc_seg": 67.00166, "aux.loss_seg": 0.18755, "aux.acc_seg": 65.93476, "loss": 0.60258, "time": 0.30066} +{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.45463, "decode.acc_seg": 66.53612, "aux.loss_seg": 0.20406, "aux.acc_seg": 65.41193, "loss": 0.65869, "time": 0.30024} +{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.47873, "decode.acc_seg": 66.97359, "aux.loss_seg": 0.21552, "aux.acc_seg": 65.84691, "loss": 0.69425, "time": 0.30148} +{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.46304, "decode.acc_seg": 67.38805, "aux.loss_seg": 0.20624, "aux.acc_seg": 66.35894, "loss": 0.66928, "time": 0.3008} +{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 36160, "data_time": 0.17491, "decode.loss_seg": 0.46764, "decode.acc_seg": 66.71547, "aux.loss_seg": 0.21203, "aux.acc_seg": 65.26824, "loss": 0.67966, "time": 0.47068} +{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.43372, "decode.acc_seg": 66.92312, "aux.loss_seg": 0.1996, "aux.acc_seg": 65.65454, "loss": 0.63333, "time": 0.30016} +{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.41993, "decode.acc_seg": 67.02794, "aux.loss_seg": 0.19069, "aux.acc_seg": 65.87351, "loss": 0.61062, "time": 0.29971} +{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.44339, "decode.acc_seg": 66.35774, "aux.loss_seg": 0.19921, "aux.acc_seg": 65.31404, "loss": 0.6426, "time": 0.29956} +{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.44661, "decode.acc_seg": 68.36047, "aux.loss_seg": 0.20125, "aux.acc_seg": 67.27725, "loss": 0.64786, "time": 0.29973} +{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.41211, "decode.acc_seg": 68.50682, "aux.loss_seg": 0.18796, "aux.acc_seg": 67.358, "loss": 0.60006, "time": 0.29961} +{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.44008, "decode.acc_seg": 66.27838, "aux.loss_seg": 0.19494, "aux.acc_seg": 65.32952, "loss": 0.63502, "time": 0.29978} +{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.43921, "decode.acc_seg": 67.29768, "aux.loss_seg": 0.20152, "aux.acc_seg": 65.72395, "loss": 0.64073, "time": 0.30128} +{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.42352, "decode.acc_seg": 66.84409, "aux.loss_seg": 0.19301, "aux.acc_seg": 65.3554, "loss": 0.61654, "time": 0.30165} +{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.42236, "decode.acc_seg": 66.17469, "aux.loss_seg": 0.18989, "aux.acc_seg": 65.12956, "loss": 0.61225, "time": 0.30213} +{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.46028, "decode.acc_seg": 67.09039, "aux.loss_seg": 0.20434, "aux.acc_seg": 66.12597, "loss": 0.66462, "time": 0.30129} +{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.43678, "decode.acc_seg": 68.97212, "aux.loss_seg": 0.2005, "aux.acc_seg": 67.66009, "loss": 0.63728, "time": 0.30053} +{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.40344, "decode.acc_seg": 67.48127, "aux.loss_seg": 0.18321, "aux.acc_seg": 66.35698, "loss": 0.58665, "time": 0.30103} +{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.42564, "decode.acc_seg": 66.30787, "aux.loss_seg": 0.18834, "aux.acc_seg": 65.4238, "loss": 0.61397, "time": 0.30014} +{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.41779, "decode.acc_seg": 67.39723, "aux.loss_seg": 0.18915, "aux.acc_seg": 66.25821, "loss": 0.60694, "time": 0.29977} +{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.45836, "decode.acc_seg": 66.98716, "aux.loss_seg": 0.20407, "aux.acc_seg": 65.83564, "loss": 0.66242, "time": 0.30063} +{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.42426, "decode.acc_seg": 68.18603, "aux.loss_seg": 0.19163, "aux.acc_seg": 66.96442, "loss": 0.61589, "time": 0.30007} +{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.44475, "decode.acc_seg": 65.73824, "aux.loss_seg": 0.19602, "aux.acc_seg": 64.90792, "loss": 0.64077, "time": 0.30079} +{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.44409, "decode.acc_seg": 67.56961, "aux.loss_seg": 0.19985, "aux.acc_seg": 66.50724, "loss": 0.64394, "time": 0.30126} +{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.40604, "decode.acc_seg": 67.23381, "aux.loss_seg": 0.18624, "aux.acc_seg": 66.01077, "loss": 0.59228, "time": 0.3016} +{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.43927, "decode.acc_seg": 66.6749, "aux.loss_seg": 0.19911, "aux.acc_seg": 65.46106, "loss": 0.63837, "time": 0.30037} +{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.43051, "decode.acc_seg": 69.62155, "aux.loss_seg": 0.19473, "aux.acc_seg": 68.43275, "loss": 0.62523, "time": 0.30117} +{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.44022, "decode.acc_seg": 67.02887, "aux.loss_seg": 0.2, "aux.acc_seg": 65.57869, "loss": 0.64022, "time": 0.3012} +{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.43578, "decode.acc_seg": 66.72884, "aux.loss_seg": 0.19496, "aux.acc_seg": 65.59509, "loss": 0.63075, "time": 0.29956} +{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.4471, "decode.acc_seg": 66.31287, "aux.loss_seg": 0.20376, "aux.acc_seg": 65.07061, "loss": 0.65086, "time": 0.30017} +{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.46415, "decode.acc_seg": 65.46437, "aux.loss_seg": 0.21011, "aux.acc_seg": 64.08244, "loss": 0.67426, "time": 0.30119} +{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 36160, "data_time": 0.16544, "decode.loss_seg": 0.42723, "decode.acc_seg": 67.86107, "aux.loss_seg": 0.19381, "aux.acc_seg": 66.61285, "loss": 0.62104, "time": 0.46234} +{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.40519, "decode.acc_seg": 67.413, "aux.loss_seg": 0.18486, "aux.acc_seg": 66.04702, "loss": 0.59005, "time": 0.3019} +{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 36160, "data_time": 0.00643, "decode.loss_seg": 0.4048, "decode.acc_seg": 68.28639, "aux.loss_seg": 0.18466, "aux.acc_seg": 67.14824, "loss": 0.58946, "time": 0.30097} +{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 36160, "data_time": 0.00626, "decode.loss_seg": 0.42772, "decode.acc_seg": 67.83639, "aux.loss_seg": 0.19566, "aux.acc_seg": 66.31636, "loss": 0.62338, "time": 0.30076} +{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.42709, "decode.acc_seg": 66.83374, "aux.loss_seg": 0.1957, "aux.acc_seg": 65.48356, "loss": 0.62279, "time": 0.30087} +{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.41242, "decode.acc_seg": 68.35367, "aux.loss_seg": 0.18812, "aux.acc_seg": 67.15332, "loss": 0.60054, "time": 0.30088} +{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.39427, "decode.acc_seg": 67.39781, "aux.loss_seg": 0.18171, "aux.acc_seg": 66.07388, "loss": 0.57598, "time": 0.30237} +{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 36160, "data_time": 0.00637, "decode.loss_seg": 0.3926, "decode.acc_seg": 66.91528, "aux.loss_seg": 0.17771, "aux.acc_seg": 65.79832, "loss": 0.57031, "time": 0.30251} +{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.46386, "decode.acc_seg": 67.37369, "aux.loss_seg": 0.20672, "aux.acc_seg": 66.56235, "loss": 0.67058, "time": 0.3015} +{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.41995, "decode.acc_seg": 68.3009, "aux.loss_seg": 0.19236, "aux.acc_seg": 67.15901, "loss": 0.61231, "time": 0.30067} +{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.41596, "decode.acc_seg": 67.90191, "aux.loss_seg": 0.18959, "aux.acc_seg": 66.60804, "loss": 0.60554, "time": 0.30054} +{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.42198, "decode.acc_seg": 66.01029, "aux.loss_seg": 0.1914, "aux.acc_seg": 64.95218, "loss": 0.61339, "time": 0.30047} +{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.43922, "decode.acc_seg": 68.23247, "aux.loss_seg": 0.19749, "aux.acc_seg": 67.0482, "loss": 0.6367, "time": 0.30061} +{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 36160, "data_time": 0.0063, "decode.loss_seg": 0.40404, "decode.acc_seg": 68.54244, "aux.loss_seg": 0.18638, "aux.acc_seg": 67.12129, "loss": 0.59042, "time": 0.30075} +{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.41082, "decode.acc_seg": 67.96419, "aux.loss_seg": 0.18764, "aux.acc_seg": 66.66267, "loss": 0.59845, "time": 0.30266} +{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.42638, "decode.acc_seg": 68.11159, "aux.loss_seg": 0.19496, "aux.acc_seg": 66.86938, "loss": 0.62134, "time": 0.30073} +{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.41902, "decode.acc_seg": 69.10358, "aux.loss_seg": 0.19069, "aux.acc_seg": 67.9534, "loss": 0.60971, "time": 0.30143} +{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.44565, "decode.acc_seg": 67.65636, "aux.loss_seg": 0.19927, "aux.acc_seg": 66.49204, "loss": 0.64492, "time": 0.30086} +{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.42108, "decode.acc_seg": 67.03551, "aux.loss_seg": 0.19285, "aux.acc_seg": 65.75535, "loss": 0.61392, "time": 0.30046} +{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.43538, "decode.acc_seg": 68.16844, "aux.loss_seg": 0.19533, "aux.acc_seg": 66.99707, "loss": 0.63071, "time": 0.30075} +{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.43551, "decode.acc_seg": 67.21144, "aux.loss_seg": 0.19653, "aux.acc_seg": 65.94594, "loss": 0.63204, "time": 0.30121} +{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.4125, "decode.acc_seg": 67.73796, "aux.loss_seg": 0.18577, "aux.acc_seg": 66.45674, "loss": 0.59827, "time": 0.30091} +{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.40877, "decode.acc_seg": 67.8979, "aux.loss_seg": 0.18655, "aux.acc_seg": 66.83193, "loss": 0.59532, "time": 0.29996} +{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.42089, "decode.acc_seg": 68.37693, "aux.loss_seg": 0.1915, "aux.acc_seg": 67.26878, "loss": 0.61238, "time": 0.30095} +{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.44541, "decode.acc_seg": 67.40384, "aux.loss_seg": 0.1985, "aux.acc_seg": 66.43516, "loss": 0.64391, "time": 0.30118} +{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 36160, "data_time": 0.17188, "decode.loss_seg": 0.41678, "decode.acc_seg": 67.90126, "aux.loss_seg": 0.1882, "aux.acc_seg": 66.72506, "loss": 0.60499, "time": 0.46703} +{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.40382, "decode.acc_seg": 66.4656, "aux.loss_seg": 0.18345, "aux.acc_seg": 65.41792, "loss": 0.58727, "time": 0.30162} +{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.43458, "decode.acc_seg": 67.11912, "aux.loss_seg": 0.19396, "aux.acc_seg": 66.17247, "loss": 0.62854, "time": 0.30159} +{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.40781, "decode.acc_seg": 68.91408, "aux.loss_seg": 0.18673, "aux.acc_seg": 67.86465, "loss": 0.59454, "time": 0.30096} +{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.43609, "decode.acc_seg": 67.38875, "aux.loss_seg": 0.19629, "aux.acc_seg": 66.18267, "loss": 0.63238, "time": 0.30136} +{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 36160, "data_time": 0.00668, "decode.loss_seg": 0.43608, "decode.acc_seg": 66.05552, "aux.loss_seg": 0.19348, "aux.acc_seg": 64.99981, "loss": 0.62956, "time": 0.30126} +{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.42442, "decode.acc_seg": 67.73956, "aux.loss_seg": 0.19273, "aux.acc_seg": 66.56198, "loss": 0.61715, "time": 0.30037} +{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.41613, "decode.acc_seg": 66.43565, "aux.loss_seg": 0.19071, "aux.acc_seg": 65.26164, "loss": 0.60685, "time": 0.30089} +{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.40041, "decode.acc_seg": 68.28179, "aux.loss_seg": 0.18035, "aux.acc_seg": 67.15505, "loss": 0.58076, "time": 0.301} +{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.45423, "decode.acc_seg": 66.33496, "aux.loss_seg": 0.2059, "aux.acc_seg": 65.23822, "loss": 0.66013, "time": 0.30039} +{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.42068, "decode.acc_seg": 68.38791, "aux.loss_seg": 0.19226, "aux.acc_seg": 67.11991, "loss": 0.61294, "time": 0.30058} +{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.40541, "decode.acc_seg": 68.56649, "aux.loss_seg": 0.18621, "aux.acc_seg": 67.19495, "loss": 0.59162, "time": 0.30017} +{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.43065, "decode.acc_seg": 69.2994, "aux.loss_seg": 0.19715, "aux.acc_seg": 67.91401, "loss": 0.6278, "time": 0.3001} +{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.41443, "decode.acc_seg": 69.368, "aux.loss_seg": 0.18629, "aux.acc_seg": 68.29445, "loss": 0.60071, "time": 0.30008} +{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.42772, "decode.acc_seg": 67.22375, "aux.loss_seg": 0.19464, "aux.acc_seg": 66.00805, "loss": 0.62235, "time": 0.3001} +{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.41122, "decode.acc_seg": 67.10321, "aux.loss_seg": 0.1858, "aux.acc_seg": 65.9946, "loss": 0.59702, "time": 0.30106} +{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.41932, "decode.acc_seg": 69.1161, "aux.loss_seg": 0.19101, "aux.acc_seg": 67.74757, "loss": 0.61033, "time": 0.30039} +{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.42644, "decode.acc_seg": 66.85364, "aux.loss_seg": 0.19333, "aux.acc_seg": 65.61179, "loss": 0.61977, "time": 0.30257} +{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.41918, "decode.acc_seg": 68.59629, "aux.loss_seg": 0.19116, "aux.acc_seg": 67.33086, "loss": 0.61034, "time": 0.30147} +{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.40956, "decode.acc_seg": 68.2236, "aux.loss_seg": 0.18505, "aux.acc_seg": 67.02131, "loss": 0.5946, "time": 0.30075} +{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.45973, "decode.acc_seg": 67.50025, "aux.loss_seg": 0.20369, "aux.acc_seg": 66.30735, "loss": 0.66341, "time": 0.3016} +{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.44245, "decode.acc_seg": 67.12215, "aux.loss_seg": 0.19834, "aux.acc_seg": 65.69169, "loss": 0.6408, "time": 0.30399} +{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.4175, "decode.acc_seg": 67.24333, "aux.loss_seg": 0.19069, "aux.acc_seg": 65.98017, "loss": 0.60818, "time": 0.30187} +{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.42995, "decode.acc_seg": 67.53459, "aux.loss_seg": 0.19122, "aux.acc_seg": 66.67878, "loss": 0.62117, "time": 0.30057} +{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.4269, "decode.acc_seg": 69.366, "aux.loss_seg": 0.19421, "aux.acc_seg": 68.11843, "loss": 0.62111, "time": 0.30158} +{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 36160, "data_time": 0.17351, "decode.loss_seg": 0.40793, "decode.acc_seg": 66.76657, "aux.loss_seg": 0.18443, "aux.acc_seg": 65.67758, "loss": 0.59236, "time": 0.47048} +{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.37901, "decode.acc_seg": 69.06286, "aux.loss_seg": 0.17541, "aux.acc_seg": 67.71878, "loss": 0.55442, "time": 0.30376} +{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.39503, "decode.acc_seg": 68.88575, "aux.loss_seg": 0.18163, "aux.acc_seg": 67.73544, "loss": 0.57666, "time": 0.30201} +{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.40386, "decode.acc_seg": 69.3428, "aux.loss_seg": 0.18696, "aux.acc_seg": 67.98372, "loss": 0.59082, "time": 0.30177} +{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.42241, "decode.acc_seg": 67.94598, "aux.loss_seg": 0.18888, "aux.acc_seg": 66.72142, "loss": 0.61129, "time": 0.30084} +{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.41369, "decode.acc_seg": 67.39302, "aux.loss_seg": 0.19177, "aux.acc_seg": 65.89775, "loss": 0.60547, "time": 0.3013} +{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.41347, "decode.acc_seg": 69.79835, "aux.loss_seg": 0.18814, "aux.acc_seg": 68.49461, "loss": 0.60161, "time": 0.30098} +{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.39569, "decode.acc_seg": 67.59694, "aux.loss_seg": 0.17974, "aux.acc_seg": 66.59523, "loss": 0.57543, "time": 0.30113} +{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.44334, "decode.acc_seg": 68.54605, "aux.loss_seg": 0.20155, "aux.acc_seg": 67.10977, "loss": 0.64489, "time": 0.30193} +{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.37986, "decode.acc_seg": 68.49981, "aux.loss_seg": 0.17345, "aux.acc_seg": 67.40491, "loss": 0.55331, "time": 0.302} +{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.38132, "decode.acc_seg": 66.44464, "aux.loss_seg": 0.17757, "aux.acc_seg": 65.15887, "loss": 0.55889, "time": 0.30095} +{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.39394, "decode.acc_seg": 68.57848, "aux.loss_seg": 0.17954, "aux.acc_seg": 67.67142, "loss": 0.57348, "time": 0.29993} +{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.38741, "decode.acc_seg": 68.01516, "aux.loss_seg": 0.17615, "aux.acc_seg": 66.85439, "loss": 0.56356, "time": 0.30051} +{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.40671, "decode.acc_seg": 69.7239, "aux.loss_seg": 0.18731, "aux.acc_seg": 68.51131, "loss": 0.59402, "time": 0.30095} +{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.39459, "decode.acc_seg": 68.15376, "aux.loss_seg": 0.17949, "aux.acc_seg": 66.83375, "loss": 0.57408, "time": 0.3} +{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.40939, "decode.acc_seg": 66.97477, "aux.loss_seg": 0.18437, "aux.acc_seg": 65.85902, "loss": 0.59376, "time": 0.30056} +{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.40203, "decode.acc_seg": 68.00144, "aux.loss_seg": 0.18218, "aux.acc_seg": 66.63198, "loss": 0.58421, "time": 0.30109} +{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.41508, "decode.acc_seg": 68.35439, "aux.loss_seg": 0.18916, "aux.acc_seg": 67.03493, "loss": 0.60424, "time": 0.3007} +{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.42641, "decode.acc_seg": 69.07536, "aux.loss_seg": 0.19407, "aux.acc_seg": 67.76238, "loss": 0.62048, "time": 0.30087} +{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.41196, "decode.acc_seg": 69.06374, "aux.loss_seg": 0.18555, "aux.acc_seg": 67.92242, "loss": 0.59751, "time": 0.30045} +{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.40261, "decode.acc_seg": 69.15514, "aux.loss_seg": 0.18361, "aux.acc_seg": 68.03589, "loss": 0.58621, "time": 0.30057} +{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.41146, "decode.acc_seg": 66.86697, "aux.loss_seg": 0.18804, "aux.acc_seg": 65.657, "loss": 0.59949, "time": 0.30055} +{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.41082, "decode.acc_seg": 66.7063, "aux.loss_seg": 0.18764, "aux.acc_seg": 65.45157, "loss": 0.59846, "time": 0.30011} +{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.42379, "decode.acc_seg": 67.3246, "aux.loss_seg": 0.18772, "aux.acc_seg": 66.35751, "loss": 0.61151, "time": 0.30064} +{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.40811, "decode.acc_seg": 67.56045, "aux.loss_seg": 0.18482, "aux.acc_seg": 66.37893, "loss": 0.59293, "time": 0.30055} +{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 36160, "data_time": 0.17176, "decode.loss_seg": 0.39743, "decode.acc_seg": 67.66572, "aux.loss_seg": 0.18242, "aux.acc_seg": 66.11483, "loss": 0.57985, "time": 0.46653} +{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.37487, "decode.acc_seg": 68.3724, "aux.loss_seg": 0.17273, "aux.acc_seg": 66.88709, "loss": 0.5476, "time": 0.30091} +{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.36188, "decode.acc_seg": 68.99936, "aux.loss_seg": 0.16766, "aux.acc_seg": 67.78941, "loss": 0.52954, "time": 0.30073} +{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.3919, "decode.acc_seg": 69.59891, "aux.loss_seg": 0.18126, "aux.acc_seg": 68.1813, "loss": 0.57316, "time": 0.30076} +{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.38919, "decode.acc_seg": 70.35169, "aux.loss_seg": 0.17683, "aux.acc_seg": 69.19998, "loss": 0.56602, "time": 0.30032} +{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.37426, "decode.acc_seg": 71.32726, "aux.loss_seg": 0.17198, "aux.acc_seg": 69.98696, "loss": 0.54624, "time": 0.2997} +{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.3712, "decode.acc_seg": 68.60261, "aux.loss_seg": 0.17258, "aux.acc_seg": 67.1795, "loss": 0.54378, "time": 0.3004} +{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.40317, "decode.acc_seg": 68.79768, "aux.loss_seg": 0.18577, "aux.acc_seg": 67.40813, "loss": 0.58894, "time": 0.30007} +{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.40842, "decode.acc_seg": 68.67957, "aux.loss_seg": 0.1845, "aux.acc_seg": 67.46673, "loss": 0.59292, "time": 0.30073} +{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.41727, "decode.acc_seg": 67.78319, "aux.loss_seg": 0.19305, "aux.acc_seg": 66.2812, "loss": 0.61031, "time": 0.30287} +{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.37393, "decode.acc_seg": 68.99582, "aux.loss_seg": 0.17246, "aux.acc_seg": 67.73482, "loss": 0.54638, "time": 0.30097} +{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.38985, "decode.acc_seg": 68.84166, "aux.loss_seg": 0.17788, "aux.acc_seg": 67.83899, "loss": 0.56773, "time": 0.30103} +{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.41717, "decode.acc_seg": 67.89655, "aux.loss_seg": 0.18803, "aux.acc_seg": 66.96791, "loss": 0.6052, "time": 0.30202} +{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.38733, "decode.acc_seg": 68.53509, "aux.loss_seg": 0.17744, "aux.acc_seg": 67.39535, "loss": 0.56477, "time": 0.30139} +{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.39362, "decode.acc_seg": 67.87297, "aux.loss_seg": 0.18037, "aux.acc_seg": 66.51055, "loss": 0.574, "time": 0.30115} +{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.40688, "decode.acc_seg": 68.52315, "aux.loss_seg": 0.18668, "aux.acc_seg": 67.34128, "loss": 0.59357, "time": 0.30122} +{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.37467, "decode.acc_seg": 67.42928, "aux.loss_seg": 0.17298, "aux.acc_seg": 66.23481, "loss": 0.54765, "time": 0.30062} +{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.38299, "decode.acc_seg": 68.22288, "aux.loss_seg": 0.17397, "aux.acc_seg": 67.22317, "loss": 0.55696, "time": 0.30178} +{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.39747, "decode.acc_seg": 67.57002, "aux.loss_seg": 0.18118, "aux.acc_seg": 66.25873, "loss": 0.57866, "time": 0.30113} +{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.40413, "decode.acc_seg": 67.454, "aux.loss_seg": 0.18487, "aux.acc_seg": 66.22872, "loss": 0.58901, "time": 0.30224} +{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.40286, "decode.acc_seg": 69.84596, "aux.loss_seg": 0.18309, "aux.acc_seg": 68.8893, "loss": 0.58596, "time": 0.30121} +{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.41058, "decode.acc_seg": 67.41339, "aux.loss_seg": 0.18882, "aux.acc_seg": 66.03157, "loss": 0.59939, "time": 0.30229} +{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.40368, "decode.acc_seg": 68.8065, "aux.loss_seg": 0.18529, "aux.acc_seg": 67.53966, "loss": 0.58898, "time": 0.301} +{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.39005, "decode.acc_seg": 66.89609, "aux.loss_seg": 0.17562, "aux.acc_seg": 65.91176, "loss": 0.56567, "time": 0.30214} +{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.3879, "decode.acc_seg": 68.89279, "aux.loss_seg": 0.17694, "aux.acc_seg": 67.69942, "loss": 0.56484, "time": 0.30286} +{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.40685, "decode.acc_seg": 67.97324, "aux.loss_seg": 0.1848, "aux.acc_seg": 66.93344, "loss": 0.59165, "time": 0.30046} +{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 36160, "data_time": 0.17555, "decode.loss_seg": 0.38337, "decode.acc_seg": 68.09477, "aux.loss_seg": 0.17555, "aux.acc_seg": 66.96102, "loss": 0.55892, "time": 0.47023} +{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.38234, "decode.acc_seg": 67.42543, "aux.loss_seg": 0.17596, "aux.acc_seg": 66.115, "loss": 0.5583, "time": 0.29982} +{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.36895, "decode.acc_seg": 67.82983, "aux.loss_seg": 0.16959, "aux.acc_seg": 66.80516, "loss": 0.53854, "time": 0.29998} +{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.38078, "decode.acc_seg": 68.77132, "aux.loss_seg": 0.17568, "aux.acc_seg": 67.51614, "loss": 0.55647, "time": 0.30039} +{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.38974, "decode.acc_seg": 69.93909, "aux.loss_seg": 0.17704, "aux.acc_seg": 68.53924, "loss": 0.56678, "time": 0.30065} +{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.4147, "decode.acc_seg": 68.67042, "aux.loss_seg": 0.18763, "aux.acc_seg": 67.36984, "loss": 0.60233, "time": 0.3008} +{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.41102, "decode.acc_seg": 67.24768, "aux.loss_seg": 0.18505, "aux.acc_seg": 66.28659, "loss": 0.59607, "time": 0.30056} +{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.38499, "decode.acc_seg": 69.18962, "aux.loss_seg": 0.1769, "aux.acc_seg": 67.86434, "loss": 0.5619, "time": 0.30019} +{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.36398, "decode.acc_seg": 68.95919, "aux.loss_seg": 0.16793, "aux.acc_seg": 67.62973, "loss": 0.53191, "time": 0.29983} +{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.36781, "decode.acc_seg": 68.89713, "aux.loss_seg": 0.16889, "aux.acc_seg": 67.71572, "loss": 0.5367, "time": 0.30133} +{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.36193, "decode.acc_seg": 68.66876, "aux.loss_seg": 0.16786, "aux.acc_seg": 67.49532, "loss": 0.52979, "time": 0.30105} +{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.38065, "decode.acc_seg": 70.01056, "aux.loss_seg": 0.17473, "aux.acc_seg": 68.74358, "loss": 0.55539, "time": 0.30093} +{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.39144, "decode.acc_seg": 67.68961, "aux.loss_seg": 0.1778, "aux.acc_seg": 66.54509, "loss": 0.56924, "time": 0.30139} +{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.37746, "decode.acc_seg": 69.09498, "aux.loss_seg": 0.17529, "aux.acc_seg": 67.8078, "loss": 0.55274, "time": 0.30081} +{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.38296, "decode.acc_seg": 69.23942, "aux.loss_seg": 0.17287, "aux.acc_seg": 68.35032, "loss": 0.55582, "time": 0.30066} +{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.41147, "decode.acc_seg": 67.44262, "aux.loss_seg": 0.18534, "aux.acc_seg": 66.20688, "loss": 0.5968, "time": 0.30089} +{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.39183, "decode.acc_seg": 69.62276, "aux.loss_seg": 0.1783, "aux.acc_seg": 68.50905, "loss": 0.57013, "time": 0.30088} +{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.43015, "decode.acc_seg": 68.59042, "aux.loss_seg": 0.19357, "aux.acc_seg": 67.5259, "loss": 0.62372, "time": 0.30148} +{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.40926, "decode.acc_seg": 67.71857, "aux.loss_seg": 0.1853, "aux.acc_seg": 66.66018, "loss": 0.59456, "time": 0.3005} +{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.39773, "decode.acc_seg": 69.16951, "aux.loss_seg": 0.17893, "aux.acc_seg": 68.11804, "loss": 0.57667, "time": 0.30043} +{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.35737, "decode.acc_seg": 69.42638, "aux.loss_seg": 0.16582, "aux.acc_seg": 68.13608, "loss": 0.52319, "time": 0.30016} +{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.38143, "decode.acc_seg": 69.25712, "aux.loss_seg": 0.17528, "aux.acc_seg": 67.93825, "loss": 0.55671, "time": 0.30104} +{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.38681, "decode.acc_seg": 69.53424, "aux.loss_seg": 0.17651, "aux.acc_seg": 68.30275, "loss": 0.56332, "time": 0.30082} +{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.36852, "decode.acc_seg": 69.54281, "aux.loss_seg": 0.17003, "aux.acc_seg": 68.16466, "loss": 0.53855, "time": 0.30045} +{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.38883, "decode.acc_seg": 69.44345, "aux.loss_seg": 0.18204, "aux.acc_seg": 67.99701, "loss": 0.57087, "time": 0.30064} +{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 36160, "data_time": 0.17389, "decode.loss_seg": 0.36799, "decode.acc_seg": 69.29279, "aux.loss_seg": 0.17142, "aux.acc_seg": 67.90506, "loss": 0.53941, "time": 0.46881} +{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.3723, "decode.acc_seg": 70.14817, "aux.loss_seg": 0.17118, "aux.acc_seg": 68.96708, "loss": 0.54348, "time": 0.30118} +{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.36712, "decode.acc_seg": 70.21419, "aux.loss_seg": 0.17033, "aux.acc_seg": 68.84523, "loss": 0.53745, "time": 0.30081} +{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.36336, "decode.acc_seg": 69.42616, "aux.loss_seg": 0.16681, "aux.acc_seg": 68.36103, "loss": 0.53017, "time": 0.30037} +{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.35714, "decode.acc_seg": 67.63797, "aux.loss_seg": 0.16436, "aux.acc_seg": 66.44206, "loss": 0.5215, "time": 0.30058} +{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.36432, "decode.acc_seg": 69.55902, "aux.loss_seg": 0.17014, "aux.acc_seg": 68.35228, "loss": 0.53447, "time": 0.2995} +{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.3961, "decode.acc_seg": 68.70803, "aux.loss_seg": 0.18232, "aux.acc_seg": 67.36804, "loss": 0.57841, "time": 0.29971} +{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.38499, "decode.acc_seg": 69.77993, "aux.loss_seg": 0.17938, "aux.acc_seg": 68.38948, "loss": 0.56437, "time": 0.30038} +{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.40107, "decode.acc_seg": 68.33418, "aux.loss_seg": 0.183, "aux.acc_seg": 67.13351, "loss": 0.58407, "time": 0.30045} +{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.38529, "decode.acc_seg": 67.62295, "aux.loss_seg": 0.17644, "aux.acc_seg": 66.4351, "loss": 0.56172, "time": 0.30023} +{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.39226, "decode.acc_seg": 67.51866, "aux.loss_seg": 0.18088, "aux.acc_seg": 66.25756, "loss": 0.57314, "time": 0.30043} +{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.37788, "decode.acc_seg": 68.7854, "aux.loss_seg": 0.17625, "aux.acc_seg": 67.31032, "loss": 0.55412, "time": 0.30138} +{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.37152, "decode.acc_seg": 68.97328, "aux.loss_seg": 0.17502, "aux.acc_seg": 67.47318, "loss": 0.54654, "time": 0.30065} +{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.37118, "decode.acc_seg": 68.39571, "aux.loss_seg": 0.17238, "aux.acc_seg": 66.95046, "loss": 0.54356, "time": 0.30027} +{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.37954, "decode.acc_seg": 69.77349, "aux.loss_seg": 0.17671, "aux.acc_seg": 68.22713, "loss": 0.55626, "time": 0.30053} +{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.37381, "decode.acc_seg": 69.50588, "aux.loss_seg": 0.17179, "aux.acc_seg": 68.18673, "loss": 0.5456, "time": 0.30043} +{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.37113, "decode.acc_seg": 68.07025, "aux.loss_seg": 0.16995, "aux.acc_seg": 66.91391, "loss": 0.54107, "time": 0.30052} +{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.37082, "decode.acc_seg": 67.90962, "aux.loss_seg": 0.16945, "aux.acc_seg": 66.68926, "loss": 0.54027, "time": 0.30019} +{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.36435, "decode.acc_seg": 69.2992, "aux.loss_seg": 0.16934, "aux.acc_seg": 67.98503, "loss": 0.5337, "time": 0.30031} +{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.37267, "decode.acc_seg": 68.46743, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.29001, "loss": 0.54454, "time": 0.3005} +{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.38128, "decode.acc_seg": 68.78166, "aux.loss_seg": 0.17781, "aux.acc_seg": 67.54846, "loss": 0.55909, "time": 0.30064} +{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.39452, "decode.acc_seg": 69.72595, "aux.loss_seg": 0.18437, "aux.acc_seg": 68.25197, "loss": 0.57889, "time": 0.30071} +{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.36428, "decode.acc_seg": 69.02019, "aux.loss_seg": 0.16511, "aux.acc_seg": 68.1628, "loss": 0.52939, "time": 0.29984} +{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.3716, "decode.acc_seg": 67.43701, "aux.loss_seg": 0.16882, "aux.acc_seg": 66.28391, "loss": 0.54042, "time": 0.29991} +{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.3711, "decode.acc_seg": 69.23062, "aux.loss_seg": 0.16893, "aux.acc_seg": 68.09687, "loss": 0.54003, "time": 0.29972} +{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 36160, "data_time": 0.14127, "decode.loss_seg": 0.3935, "decode.acc_seg": 66.51955, "aux.loss_seg": 0.17997, "aux.acc_seg": 65.4076, "loss": 0.57347, "time": 0.45918} +{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.33885, "decode.acc_seg": 69.72292, "aux.loss_seg": 0.15618, "aux.acc_seg": 68.56543, "loss": 0.49503, "time": 0.30139} +{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.35076, "decode.acc_seg": 68.85802, "aux.loss_seg": 0.16174, "aux.acc_seg": 67.58223, "loss": 0.5125, "time": 0.30011} +{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.37196, "decode.acc_seg": 69.27521, "aux.loss_seg": 0.17217, "aux.acc_seg": 67.89828, "loss": 0.54413, "time": 0.30013} +{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.36386, "decode.acc_seg": 68.82784, "aux.loss_seg": 0.16664, "aux.acc_seg": 67.59477, "loss": 0.53051, "time": 0.2997} +{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.38422, "decode.acc_seg": 69.85403, "aux.loss_seg": 0.17582, "aux.acc_seg": 68.5096, "loss": 0.56004, "time": 0.30007} +{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.38495, "decode.acc_seg": 70.22619, "aux.loss_seg": 0.17648, "aux.acc_seg": 68.92264, "loss": 0.56142, "time": 0.30001} +{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.3732, "decode.acc_seg": 68.50352, "aux.loss_seg": 0.17477, "aux.acc_seg": 67.24376, "loss": 0.54797, "time": 0.30059} +{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.35153, "decode.acc_seg": 68.60734, "aux.loss_seg": 0.16435, "aux.acc_seg": 67.25374, "loss": 0.51588, "time": 0.30014} +{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.38961, "decode.acc_seg": 69.35029, "aux.loss_seg": 0.17881, "aux.acc_seg": 68.16772, "loss": 0.56842, "time": 0.30035} +{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.37536, "decode.acc_seg": 69.59648, "aux.loss_seg": 0.17267, "aux.acc_seg": 68.37323, "loss": 0.54803, "time": 0.2997} +{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.37167, "decode.acc_seg": 69.19681, "aux.loss_seg": 0.17107, "aux.acc_seg": 67.98817, "loss": 0.54274, "time": 0.30005} +{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.38903, "decode.acc_seg": 67.03103, "aux.loss_seg": 0.18073, "aux.acc_seg": 65.84624, "loss": 0.56976, "time": 0.29931} +{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.36696, "decode.acc_seg": 69.96756, "aux.loss_seg": 0.16892, "aux.acc_seg": 68.67563, "loss": 0.53588, "time": 0.30172} +{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.36894, "decode.acc_seg": 69.18963, "aux.loss_seg": 0.17163, "aux.acc_seg": 67.88246, "loss": 0.54057, "time": 0.30205} +{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.35264, "decode.acc_seg": 70.69371, "aux.loss_seg": 0.16282, "aux.acc_seg": 69.4043, "loss": 0.51546, "time": 0.30013} +{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.37985, "decode.acc_seg": 70.79268, "aux.loss_seg": 0.175, "aux.acc_seg": 69.49207, "loss": 0.55485, "time": 0.3001} +{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.39097, "decode.acc_seg": 67.57019, "aux.loss_seg": 0.17845, "aux.acc_seg": 66.59481, "loss": 0.56942, "time": 0.30032} +{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.38812, "decode.acc_seg": 68.25749, "aux.loss_seg": 0.17776, "aux.acc_seg": 67.04086, "loss": 0.56588, "time": 0.29993} +{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.38525, "decode.acc_seg": 69.23374, "aux.loss_seg": 0.17782, "aux.acc_seg": 68.05794, "loss": 0.56307, "time": 0.29958} +{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.38277, "decode.acc_seg": 68.82082, "aux.loss_seg": 0.17493, "aux.acc_seg": 67.64496, "loss": 0.5577, "time": 0.30021} +{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.382, "decode.acc_seg": 68.04496, "aux.loss_seg": 0.17408, "aux.acc_seg": 66.94943, "loss": 0.55608, "time": 0.29945} +{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.37488, "decode.acc_seg": 68.53438, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.19509, "loss": 0.54941, "time": 0.29927} +{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.36511, "decode.acc_seg": 68.73279, "aux.loss_seg": 0.16818, "aux.acc_seg": 67.56337, "loss": 0.53329, "time": 0.30207} +{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.36005, "decode.acc_seg": 69.18723, "aux.loss_seg": 0.16542, "aux.acc_seg": 67.9404, "loss": 0.52547, "time": 0.30064} +{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 36160, "data_time": 0.15608, "decode.loss_seg": 0.37633, "decode.acc_seg": 68.25194, "aux.loss_seg": 0.17369, "aux.acc_seg": 67.05162, "loss": 0.55002, "time": 0.4662} +{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.35398, "decode.acc_seg": 68.79753, "aux.loss_seg": 0.16442, "aux.acc_seg": 67.47481, "loss": 0.51839, "time": 0.30222} +{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.37524, "decode.acc_seg": 69.56292, "aux.loss_seg": 0.1743, "aux.acc_seg": 68.18862, "loss": 0.54955, "time": 0.3005} +{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.35178, "decode.acc_seg": 70.03455, "aux.loss_seg": 0.16232, "aux.acc_seg": 68.73123, "loss": 0.5141, "time": 0.30065} +{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.37551, "decode.acc_seg": 68.8663, "aux.loss_seg": 0.17299, "aux.acc_seg": 67.66686, "loss": 0.5485, "time": 0.30055} +{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.35713, "decode.acc_seg": 70.1317, "aux.loss_seg": 0.16412, "aux.acc_seg": 68.83536, "loss": 0.52124, "time": 0.30029} +{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.3748, "decode.acc_seg": 68.84409, "aux.loss_seg": 0.17362, "aux.acc_seg": 67.42178, "loss": 0.54842, "time": 0.30163} +{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.35088, "decode.acc_seg": 69.75091, "aux.loss_seg": 0.16352, "aux.acc_seg": 68.53335, "loss": 0.51439, "time": 0.30357} +{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.35806, "decode.acc_seg": 69.26982, "aux.loss_seg": 0.16608, "aux.acc_seg": 67.88797, "loss": 0.52413, "time": 0.3031} +{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.34469, "decode.acc_seg": 69.59582, "aux.loss_seg": 0.15787, "aux.acc_seg": 68.59555, "loss": 0.50256, "time": 0.30055} +{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.36215, "decode.acc_seg": 69.72881, "aux.loss_seg": 0.16698, "aux.acc_seg": 68.44364, "loss": 0.52913, "time": 0.30023} +{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.35977, "decode.acc_seg": 71.35159, "aux.loss_seg": 0.16569, "aux.acc_seg": 70.07243, "loss": 0.52545, "time": 0.30009} +{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.37309, "decode.acc_seg": 69.75397, "aux.loss_seg": 0.17368, "aux.acc_seg": 68.52603, "loss": 0.54677, "time": 0.30075} +{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.37572, "decode.acc_seg": 69.80036, "aux.loss_seg": 0.17304, "aux.acc_seg": 68.39804, "loss": 0.54876, "time": 0.30114} +{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.35482, "decode.acc_seg": 69.10461, "aux.loss_seg": 0.16615, "aux.acc_seg": 67.72618, "loss": 0.52096, "time": 0.30078} +{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.36482, "decode.acc_seg": 69.01715, "aux.loss_seg": 0.16946, "aux.acc_seg": 67.64784, "loss": 0.53428, "time": 0.30133} +{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.37088, "decode.acc_seg": 69.80875, "aux.loss_seg": 0.17107, "aux.acc_seg": 68.57107, "loss": 0.54195, "time": 0.30092} +{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.36029, "decode.acc_seg": 69.4186, "aux.loss_seg": 0.16577, "aux.acc_seg": 68.12411, "loss": 0.52606, "time": 0.30145} +{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.36204, "decode.acc_seg": 68.6884, "aux.loss_seg": 0.16666, "aux.acc_seg": 67.59662, "loss": 0.52871, "time": 0.30062} +{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.3549, "decode.acc_seg": 69.10166, "aux.loss_seg": 0.16289, "aux.acc_seg": 67.8837, "loss": 0.51779, "time": 0.30068} +{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.3511, "decode.acc_seg": 71.01692, "aux.loss_seg": 0.16085, "aux.acc_seg": 69.83298, "loss": 0.51196, "time": 0.30143} +{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.34795, "decode.acc_seg": 70.00838, "aux.loss_seg": 0.15914, "aux.acc_seg": 68.89631, "loss": 0.50709, "time": 0.30018} +{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.36563, "decode.acc_seg": 68.28178, "aux.loss_seg": 0.16777, "aux.acc_seg": 66.96361, "loss": 0.5334, "time": 0.29978} +{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.36994, "decode.acc_seg": 69.53654, "aux.loss_seg": 0.16884, "aux.acc_seg": 68.35268, "loss": 0.53877, "time": 0.29917} +{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.36303, "decode.acc_seg": 68.981, "aux.loss_seg": 0.16766, "aux.acc_seg": 67.7491, "loss": 0.53069, "time": 0.29994} +{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.36267, "decode.acc_seg": 70.68526, "aux.loss_seg": 0.16781, "aux.acc_seg": 69.40664, "loss": 0.53049, "time": 0.30072} +{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 36160, "data_time": 0.1773, "decode.loss_seg": 0.3547, "decode.acc_seg": 69.49552, "aux.loss_seg": 0.16379, "aux.acc_seg": 68.32541, "loss": 0.51848, "time": 0.47109} +{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.34555, "decode.acc_seg": 69.81256, "aux.loss_seg": 0.16207, "aux.acc_seg": 68.55309, "loss": 0.50762, "time": 0.2989} +{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.3386, "decode.acc_seg": 68.53636, "aux.loss_seg": 0.15946, "aux.acc_seg": 67.21824, "loss": 0.49806, "time": 0.29941} +{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.34285, "decode.acc_seg": 70.24993, "aux.loss_seg": 0.16063, "aux.acc_seg": 68.76169, "loss": 0.50349, "time": 0.2995} +{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.34795, "decode.acc_seg": 69.10232, "aux.loss_seg": 0.16291, "aux.acc_seg": 67.78681, "loss": 0.51086, "time": 0.29935} +{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.34053, "decode.acc_seg": 69.66857, "aux.loss_seg": 0.1548, "aux.acc_seg": 68.62418, "loss": 0.49533, "time": 0.29909} +{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.34296, "decode.acc_seg": 69.35623, "aux.loss_seg": 0.15926, "aux.acc_seg": 68.04083, "loss": 0.50222, "time": 0.29883} +{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.3538, "decode.acc_seg": 69.50493, "aux.loss_seg": 0.16463, "aux.acc_seg": 68.24055, "loss": 0.51843, "time": 0.2998} +{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.35489, "decode.acc_seg": 69.95203, "aux.loss_seg": 0.16557, "aux.acc_seg": 68.70914, "loss": 0.52046, "time": 0.30046} +{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.37958, "decode.acc_seg": 69.28428, "aux.loss_seg": 0.1757, "aux.acc_seg": 68.05978, "loss": 0.55529, "time": 0.29991} +{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.35424, "decode.acc_seg": 68.76421, "aux.loss_seg": 0.1649, "aux.acc_seg": 67.1986, "loss": 0.51914, "time": 0.3} +{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.33357, "decode.acc_seg": 70.69398, "aux.loss_seg": 0.15379, "aux.acc_seg": 69.45662, "loss": 0.48736, "time": 0.30147} +{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.37111, "decode.acc_seg": 69.22479, "aux.loss_seg": 0.16963, "aux.acc_seg": 68.109, "loss": 0.54074, "time": 0.30194} +{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.35891, "decode.acc_seg": 68.58845, "aux.loss_seg": 0.16627, "aux.acc_seg": 67.32234, "loss": 0.52518, "time": 0.3021} +{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.35354, "decode.acc_seg": 69.05867, "aux.loss_seg": 0.16251, "aux.acc_seg": 67.85883, "loss": 0.51606, "time": 0.3022} +{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.37671, "decode.acc_seg": 68.31448, "aux.loss_seg": 0.17244, "aux.acc_seg": 67.22096, "loss": 0.54915, "time": 0.30148} +{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.35021, "decode.acc_seg": 69.92384, "aux.loss_seg": 0.16526, "aux.acc_seg": 68.57669, "loss": 0.51548, "time": 0.3011} +{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.36962, "decode.acc_seg": 69.19185, "aux.loss_seg": 0.16936, "aux.acc_seg": 67.96861, "loss": 0.53899, "time": 0.30098} +{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.37432, "decode.acc_seg": 70.27463, "aux.loss_seg": 0.17206, "aux.acc_seg": 69.03128, "loss": 0.54638, "time": 0.30074} +{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.35243, "decode.acc_seg": 69.45845, "aux.loss_seg": 0.1632, "aux.acc_seg": 68.20811, "loss": 0.51563, "time": 0.30012} +{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.35703, "decode.acc_seg": 69.54422, "aux.loss_seg": 0.16347, "aux.acc_seg": 68.42066, "loss": 0.5205, "time": 0.30003} +{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.35025, "decode.acc_seg": 69.65589, "aux.loss_seg": 0.16356, "aux.acc_seg": 68.34942, "loss": 0.51381, "time": 0.29991} +{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.36515, "decode.acc_seg": 69.24928, "aux.loss_seg": 0.16918, "aux.acc_seg": 67.93885, "loss": 0.53433, "time": 0.29953} +{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.35705, "decode.acc_seg": 69.57098, "aux.loss_seg": 0.16484, "aux.acc_seg": 68.24788, "loss": 0.52189, "time": 0.30052} +{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.35433, "decode.acc_seg": 70.23166, "aux.loss_seg": 0.16662, "aux.acc_seg": 68.66344, "loss": 0.52095, "time": 0.30046} +{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 36160, "data_time": 0.17746, "decode.loss_seg": 0.37172, "decode.acc_seg": 69.40389, "aux.loss_seg": 0.17265, "aux.acc_seg": 68.07222, "loss": 0.54437, "time": 0.47192} +{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.35246, "decode.acc_seg": 69.99126, "aux.loss_seg": 0.16351, "aux.acc_seg": 68.63667, "loss": 0.51597, "time": 0.30036} +{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.33183, "decode.acc_seg": 70.43734, "aux.loss_seg": 0.15501, "aux.acc_seg": 69.26556, "loss": 0.48684, "time": 0.30001} +{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.3539, "decode.acc_seg": 69.81374, "aux.loss_seg": 0.16301, "aux.acc_seg": 68.83982, "loss": 0.51691, "time": 0.30024} +{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.3166, "decode.acc_seg": 69.78948, "aux.loss_seg": 0.14968, "aux.acc_seg": 68.4864, "loss": 0.46628, "time": 0.29982} +{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.34469, "decode.acc_seg": 70.78178, "aux.loss_seg": 0.16287, "aux.acc_seg": 69.3597, "loss": 0.50755, "time": 0.29937} +{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.36696, "decode.acc_seg": 70.00964, "aux.loss_seg": 0.16861, "aux.acc_seg": 68.76832, "loss": 0.53557, "time": 0.29975} +{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.36869, "decode.acc_seg": 69.26767, "aux.loss_seg": 0.16753, "aux.acc_seg": 68.07863, "loss": 0.53622, "time": 0.29973} +{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4519, "mAcc": 0.5826, "aAcc": 0.8114, "IoU.wall": 0.7466, "IoU.building": 0.8051, "IoU.sky": 0.9374, "IoU.floor": 0.8024, "IoU.tree": 0.7352, "IoU.ceiling": 0.8244, "IoU.road": 0.8184, "IoU.bed ": 0.8396, "IoU.windowpane": 0.5825, "IoU.grass": 0.674, "IoU.cabinet": 0.5581, "IoU.sidewalk": 0.601, "IoU.person": 0.7588, "IoU.earth": 0.3562, "IoU.door": 0.4179, "IoU.table": 0.5387, "IoU.mountain": 0.5662, "IoU.plant": 0.511, "IoU.curtain": 0.6651, "IoU.chair": 0.4994, "IoU.car": 0.8078, "IoU.water": 0.5457, "IoU.painting": 0.7147, "IoU.sofa": 0.5654, "IoU.shelf": 0.3962, "IoU.house": 0.4562, "IoU.sea": 0.6112, "IoU.mirror": 0.5698, "IoU.rug": 0.6933, "IoU.field": 0.3101, "IoU.armchair": 0.3699, "IoU.seat": 0.6133, "IoU.fence": 0.394, "IoU.desk": 0.4325, "IoU.rock": 0.4649, "IoU.wardrobe": 0.4551, "IoU.lamp": 0.5409, "IoU.bathtub": 0.6677, "IoU.railing": 0.3116, "IoU.cushion": 0.5083, "IoU.base": 0.2432, "IoU.box": 0.2374, "IoU.column": 0.4307, "IoU.signboard": 0.3334, "IoU.chest of drawers": 0.3415, "IoU.counter": 0.29, "IoU.sand": 0.3708, "IoU.sink": 0.6509, "IoU.skyscraper": 0.6191, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6378, "IoU.grandstand": 0.4184, "IoU.path": 0.2042, "IoU.stairs": 0.2433, "IoU.runway": 0.709, "IoU.case": 0.3758, "IoU.pool table": 0.9047, "IoU.pillow": 0.4569, "IoU.screen door": 0.4998, "IoU.stairway": 0.2749, "IoU.river": 0.1127, "IoU.bridge": 0.6592, "IoU.bookcase": 0.3878, "IoU.blind": NaN, "IoU.coffee table": 0.4921, "IoU.toilet": 0.7777, "IoU.flower": 0.416, "IoU.book": 0.4149, "IoU.hill": 0.1218, "IoU.bench": 0.3815, "IoU.countertop": 0.5104, "IoU.stove": 0.6536, "IoU.palm": 0.4807, "IoU.kitchen island": 0.2911, "IoU.computer": 0.6563, "IoU.swivel chair": 0.4384, "IoU.boat": 0.5918, "IoU.bar": 0.4779, "IoU.arcade machine": 0.7343, "IoU.hovel": 0.3539, "IoU.bus": 0.7664, "IoU.towel": 0.5966, "IoU.light": 0.5028, "IoU.truck": 0.2982, "IoU.tower": 0.1228, "IoU.chandelier": 0.5885, "IoU.awning": 0.2246, "IoU.streetlight": 0.1902, "IoU.booth": 0.5065, "IoU.television receiver": NaN, "IoU.airplane": 0.5268, "IoU.dirt track": 0.0942, "IoU.apparel": 0.2971, "IoU.pole": 0.1354, "IoU.land": 0.0032, "IoU.bannister": 0.0972, "IoU.escalator": 0.3333, "IoU.ottoman": 0.4016, "IoU.bottle": NaN, "IoU.buffet": 0.5052, "IoU.poster": 0.258, "IoU.stage": 0.1597, "IoU.van": 0.2984, "IoU.ship": 0.62, "IoU.fountain": 0.1887, "IoU.conveyer belt": 0.6704, "IoU.canopy": 0.0723, "IoU.washer": 0.705, "IoU.plaything": 0.2201, "IoU.swimming pool": 0.6577, "IoU.stool": 0.308, "IoU.barrel": 0.4667, "IoU.basket": 0.282, "IoU.waterfall": 0.5616, "IoU.tent": 0.9284, "IoU.bag": 0.1364, "IoU.minibike": 0.6571, "IoU.cradle": NaN, "IoU.oven": 0.2777, "IoU.ball": 0.2985, "IoU.food": 0.548, "IoU.step": 0.04, "IoU.tank": 0.4821, "IoU.trade name": 0.2633, "IoU.microwave": 0.6948, "IoU.pot": 0.4844, "IoU.animal": NaN, "IoU.bicycle": 0.5334, "IoU.lake": 0.5073, "IoU.dishwasher": 0.4682, "IoU.screen": 0.58, "IoU.blanket": 0.0787, "IoU.sculpture": 0.4438, "IoU.hood": 0.5318, "IoU.sconce": 0.2709, "IoU.vase": 0.3263, "IoU.traffic light": 0.2324, "IoU.tray": 0.0242, "IoU.ashcan": 0.3767, "IoU.fan": 0.546, "IoU.pier": 0.2255, "IoU.crt screen": 0.0001, "IoU.plate": 0.5035, "IoU.monitor": 0.1063, "IoU.bulletin board": 0.4202, "IoU.shower": 0.0, "IoU.radiator": 0.5915, "IoU.glass": 0.1149, "IoU.clock": 0.3551, "IoU.flag": 0.5091, "Acc.wall": 0.8559, "Acc.building": 0.9176, "Acc.sky": 0.9687, "Acc.floor": 0.8897, "Acc.tree": 0.8749, "Acc.ceiling": 0.9225, "Acc.road": 0.8919, "Acc.bed ": 0.9446, "Acc.windowpane": 0.767, "Acc.grass": 0.7813, "Acc.cabinet": 0.7056, "Acc.sidewalk": 0.7443, "Acc.person": 0.9004, "Acc.earth": 0.5081, "Acc.door": 0.5539, "Acc.table": 0.7082, "Acc.mountain": 0.6397, "Acc.plant": 0.6167, "Acc.curtain": 0.8419, "Acc.chair": 0.6652, "Acc.car": 0.8874, "Acc.water": 0.7247, "Acc.painting": 0.8612, "Acc.sofa": 0.7174, "Acc.shelf": 0.6192, "Acc.house": 0.6169, "Acc.sea": 0.7272, "Acc.mirror": 0.6541, "Acc.rug": 0.7915, "Acc.field": 0.5691, "Acc.armchair": 0.5904, "Acc.seat": 0.8024, "Acc.fence": 0.5268, "Acc.desk": 0.6077, "Acc.rock": 0.6734, "Acc.wardrobe": 0.5684, "Acc.lamp": 0.6809, "Acc.bathtub": 0.806, "Acc.railing": 0.4023, "Acc.cushion": 0.625, "Acc.base": 0.3109, "Acc.box": 0.2898, "Acc.column": 0.5667, "Acc.signboard": 0.5235, "Acc.chest of drawers": 0.578, "Acc.counter": 0.3406, "Acc.sand": 0.5898, "Acc.sink": 0.7924, "Acc.skyscraper": 0.8694, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7324, "Acc.grandstand": 0.7173, "Acc.path": 0.4184, "Acc.stairs": 0.2832, "Acc.runway": 0.9631, "Acc.case": 0.424, "Acc.pool table": 0.9588, "Acc.pillow": 0.5267, "Acc.screen door": 0.5921, "Acc.stairway": 0.4084, "Acc.river": 0.278, "Acc.bridge": 0.8346, "Acc.bookcase": 0.5327, "Acc.blind": NaN, "Acc.coffee table": 0.8022, "Acc.toilet": 0.881, "Acc.flower": 0.5962, "Acc.book": 0.6025, "Acc.hill": 0.2194, "Acc.bench": 0.4561, "Acc.countertop": 0.6993, "Acc.stove": 0.7211, "Acc.palm": 0.7722, "Acc.kitchen island": 0.5313, "Acc.computer": 0.7724, "Acc.swivel chair": 0.6277, "Acc.boat": 0.7424, "Acc.bar": 0.7898, "Acc.arcade machine": 0.854, "Acc.hovel": 0.4328, "Acc.bus": 0.9552, "Acc.towel": 0.7667, "Acc.light": 0.6228, "Acc.truck": 0.4352, "Acc.tower": 0.1551, "Acc.chandelier": 0.8139, "Acc.awning": 0.2454, "Acc.streetlight": 0.26, "Acc.booth": 0.627, "Acc.television receiver": NaN, "Acc.airplane": 0.6874, "Acc.dirt track": 0.1751, "Acc.apparel": 0.47, "Acc.pole": 0.1705, "Acc.land": 0.0058, "Acc.bannister": 0.1187, "Acc.escalator": 0.3873, "Acc.ottoman": 0.5836, "Acc.bottle": NaN, "Acc.buffet": 0.6259, "Acc.poster": 0.3548, "Acc.stage": 0.258, "Acc.van": 0.3454, "Acc.ship": 0.7386, "Acc.fountain": 0.19, "Acc.conveyer belt": 0.9174, "Acc.canopy": 0.0817, "Acc.washer": 0.7432, "Acc.plaything": 0.3968, "Acc.swimming pool": 0.8646, "Acc.stool": 0.4598, "Acc.barrel": 0.65, "Acc.basket": 0.3779, "Acc.waterfall": 0.8129, "Acc.tent": 0.9844, "Acc.bag": 0.1622, "Acc.minibike": 0.8278, "Acc.cradle": NaN, "Acc.oven": 0.4303, "Acc.ball": 0.3094, "Acc.food": 0.6371, "Acc.step": 0.0456, "Acc.tank": 0.5915, "Acc.trade name": 0.3278, "Acc.microwave": 0.7992, "Acc.pot": 0.5428, "Acc.animal": NaN, "Acc.bicycle": 0.7191, "Acc.lake": 0.6181, "Acc.dishwasher": 0.5109, "Acc.screen": 0.9024, "Acc.blanket": 0.0913, "Acc.sculpture": 0.6838, "Acc.hood": 0.6429, "Acc.sconce": 0.3088, "Acc.vase": 0.5381, "Acc.traffic light": 0.3488, "Acc.tray": 0.0373, "Acc.ashcan": 0.542, "Acc.fan": 0.6868, "Acc.pier": 0.8611, "Acc.crt screen": 0.0002, "Acc.plate": 0.675, "Acc.monitor": 0.1328, "Acc.bulletin board": 0.6167, "Acc.shower": 0.0, "Acc.radiator": 0.6747, "Acc.glass": 0.1268, "Acc.clock": 0.4532, "Acc.flag": 0.5921} +{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 36160, "data_time": 1.34404, "decode.loss_seg": 0.34479, "decode.acc_seg": 69.69807, "aux.loss_seg": 0.1602, "aux.acc_seg": 68.53218, "loss": 0.50499, "time": 1.6445} +{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.3519, "decode.acc_seg": 69.75017, "aux.loss_seg": 0.16253, "aux.acc_seg": 68.47613, "loss": 0.51442, "time": 0.30149} +{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.34501, "decode.acc_seg": 69.13079, "aux.loss_seg": 0.15673, "aux.acc_seg": 68.18934, "loss": 0.50174, "time": 0.30025} +{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.3451, "decode.acc_seg": 69.61897, "aux.loss_seg": 0.15812, "aux.acc_seg": 68.44814, "loss": 0.50322, "time": 0.30089} +{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.35529, "decode.acc_seg": 68.90359, "aux.loss_seg": 0.16153, "aux.acc_seg": 67.79012, "loss": 0.51682, "time": 0.30037} +{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.35009, "decode.acc_seg": 68.84957, "aux.loss_seg": 0.16228, "aux.acc_seg": 67.73434, "loss": 0.51237, "time": 0.30002} +{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.33656, "decode.acc_seg": 69.52856, "aux.loss_seg": 0.15615, "aux.acc_seg": 68.21544, "loss": 0.4927, "time": 0.30014} +{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.35527, "decode.acc_seg": 70.38937, "aux.loss_seg": 0.1666, "aux.acc_seg": 68.95319, "loss": 0.52186, "time": 0.30038} +{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.36279, "decode.acc_seg": 70.51123, "aux.loss_seg": 0.16588, "aux.acc_seg": 69.21742, "loss": 0.52867, "time": 0.29989} +{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.35819, "decode.acc_seg": 69.56236, "aux.loss_seg": 0.16589, "aux.acc_seg": 68.37451, "loss": 0.52408, "time": 0.30001} +{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.36044, "decode.acc_seg": 69.89446, "aux.loss_seg": 0.16903, "aux.acc_seg": 68.34241, "loss": 0.52948, "time": 0.30013} +{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.35204, "decode.acc_seg": 70.08074, "aux.loss_seg": 0.16241, "aux.acc_seg": 68.88438, "loss": 0.51446, "time": 0.30082} +{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.34437, "decode.acc_seg": 69.99292, "aux.loss_seg": 0.15913, "aux.acc_seg": 68.77791, "loss": 0.5035, "time": 0.29984} +{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.35132, "decode.acc_seg": 69.03687, "aux.loss_seg": 0.16158, "aux.acc_seg": 68.02403, "loss": 0.51289, "time": 0.30082} +{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.3766, "decode.acc_seg": 68.60414, "aux.loss_seg": 0.17488, "aux.acc_seg": 67.34497, "loss": 0.55148, "time": 0.30314} +{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.33745, "decode.acc_seg": 70.72578, "aux.loss_seg": 0.15504, "aux.acc_seg": 69.56805, "loss": 0.49249, "time": 0.30122} +{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 36160, "data_time": 0.17697, "decode.loss_seg": 0.34962, "decode.acc_seg": 69.82343, "aux.loss_seg": 0.16296, "aux.acc_seg": 68.48479, "loss": 0.51259, "time": 0.47415} +{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.31006, "decode.acc_seg": 70.18999, "aux.loss_seg": 0.14681, "aux.acc_seg": 68.83878, "loss": 0.45687, "time": 0.30169} +{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 36160, "data_time": 0.00427, "decode.loss_seg": 0.33946, "decode.acc_seg": 69.24105, "aux.loss_seg": 0.16056, "aux.acc_seg": 67.61845, "loss": 0.50002, "time": 0.301} +{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.33373, "decode.acc_seg": 70.22247, "aux.loss_seg": 0.15806, "aux.acc_seg": 68.81962, "loss": 0.49179, "time": 0.30086} +{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.31941, "decode.acc_seg": 70.33133, "aux.loss_seg": 0.14799, "aux.acc_seg": 69.1659, "loss": 0.46739, "time": 0.30025} +{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.3282, "decode.acc_seg": 70.68827, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.45902, "loss": 0.4819, "time": 0.30052} +{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 36160, "data_time": 0.00458, "decode.loss_seg": 0.34479, "decode.acc_seg": 70.64895, "aux.loss_seg": 0.15974, "aux.acc_seg": 69.51213, "loss": 0.50453, "time": 0.30116} +{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.35592, "decode.acc_seg": 70.80519, "aux.loss_seg": 0.16499, "aux.acc_seg": 69.4992, "loss": 0.52091, "time": 0.30002} +{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.32379, "decode.acc_seg": 71.15951, "aux.loss_seg": 0.15168, "aux.acc_seg": 69.79546, "loss": 0.47547, "time": 0.30047} +{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.3557, "decode.acc_seg": 68.59779, "aux.loss_seg": 0.16539, "aux.acc_seg": 67.21707, "loss": 0.52109, "time": 0.30077} +{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.34008, "decode.acc_seg": 70.03489, "aux.loss_seg": 0.15601, "aux.acc_seg": 68.90203, "loss": 0.49609, "time": 0.30176} +{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.32137, "decode.acc_seg": 70.36819, "aux.loss_seg": 0.15019, "aux.acc_seg": 69.12276, "loss": 0.47156, "time": 0.30102} +{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.33043, "decode.acc_seg": 69.74442, "aux.loss_seg": 0.1539, "aux.acc_seg": 68.59965, "loss": 0.48433, "time": 0.30083} +{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.32497, "decode.acc_seg": 71.95462, "aux.loss_seg": 0.15263, "aux.acc_seg": 70.5933, "loss": 0.4776, "time": 0.3032} +{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.34737, "decode.acc_seg": 69.02126, "aux.loss_seg": 0.15897, "aux.acc_seg": 67.85046, "loss": 0.50634, "time": 0.30241} +{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.34957, "decode.acc_seg": 70.20913, "aux.loss_seg": 0.16072, "aux.acc_seg": 69.09615, "loss": 0.51029, "time": 0.3016} +{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.33931, "decode.acc_seg": 68.54629, "aux.loss_seg": 0.15929, "aux.acc_seg": 67.21245, "loss": 0.49859, "time": 0.30231} +{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.35127, "decode.acc_seg": 69.61631, "aux.loss_seg": 0.16264, "aux.acc_seg": 68.52264, "loss": 0.5139, "time": 0.30412} +{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.33959, "decode.acc_seg": 69.52258, "aux.loss_seg": 0.15922, "aux.acc_seg": 68.16516, "loss": 0.49881, "time": 0.30431} +{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.33133, "decode.acc_seg": 70.28749, "aux.loss_seg": 0.15595, "aux.acc_seg": 68.94904, "loss": 0.48728, "time": 0.30344} +{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.35972, "decode.acc_seg": 70.91003, "aux.loss_seg": 0.16549, "aux.acc_seg": 69.91162, "loss": 0.5252, "time": 0.3032} +{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.35797, "decode.acc_seg": 68.3604, "aux.loss_seg": 0.16212, "aux.acc_seg": 67.29769, "loss": 0.52008, "time": 0.30353} +{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.3362, "decode.acc_seg": 70.85737, "aux.loss_seg": 0.15717, "aux.acc_seg": 69.53085, "loss": 0.49338, "time": 0.30255} +{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.34459, "decode.acc_seg": 70.4107, "aux.loss_seg": 0.15936, "aux.acc_seg": 69.12514, "loss": 0.50395, "time": 0.30318} +{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.34446, "decode.acc_seg": 69.69661, "aux.loss_seg": 0.15887, "aux.acc_seg": 68.55625, "loss": 0.50333, "time": 0.30269} +{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.34996, "decode.acc_seg": 71.88627, "aux.loss_seg": 0.16121, "aux.acc_seg": 70.49463, "loss": 0.51117, "time": 0.30129} +{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 36160, "data_time": 0.15116, "decode.loss_seg": 0.34987, "decode.acc_seg": 69.11647, "aux.loss_seg": 0.16307, "aux.acc_seg": 67.66608, "loss": 0.51294, "time": 0.47277} +{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 36160, "data_time": 0.00408, "decode.loss_seg": 0.30864, "decode.acc_seg": 71.37412, "aux.loss_seg": 0.14339, "aux.acc_seg": 70.1134, "loss": 0.45203, "time": 0.30009} +{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 36160, "data_time": 0.00433, "decode.loss_seg": 0.32618, "decode.acc_seg": 70.00602, "aux.loss_seg": 0.15644, "aux.acc_seg": 68.45375, "loss": 0.48261, "time": 0.29933} +{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 36160, "data_time": 0.00425, "decode.loss_seg": 0.33576, "decode.acc_seg": 71.89163, "aux.loss_seg": 0.15704, "aux.acc_seg": 70.62283, "loss": 0.4928, "time": 0.29965} +{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 36160, "data_time": 0.00439, "decode.loss_seg": 0.32367, "decode.acc_seg": 70.68166, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.07928, "loss": 0.47737, "time": 0.29952} +{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.33843, "decode.acc_seg": 70.58067, "aux.loss_seg": 0.1586, "aux.acc_seg": 69.3726, "loss": 0.49703, "time": 0.29917} +{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.33987, "decode.acc_seg": 69.21654, "aux.loss_seg": 0.15578, "aux.acc_seg": 68.09417, "loss": 0.49565, "time": 0.29973} +{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.32416, "decode.acc_seg": 70.25197, "aux.loss_seg": 0.15237, "aux.acc_seg": 68.98804, "loss": 0.47653, "time": 0.29979} +{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.33918, "decode.acc_seg": 70.58206, "aux.loss_seg": 0.15656, "aux.acc_seg": 69.46451, "loss": 0.49573, "time": 0.30186} +{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.3503, "decode.acc_seg": 69.28049, "aux.loss_seg": 0.16357, "aux.acc_seg": 67.88167, "loss": 0.51387, "time": 0.30242} +{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.36502, "decode.acc_seg": 70.19116, "aux.loss_seg": 0.17039, "aux.acc_seg": 68.72339, "loss": 0.53541, "time": 0.30225} +{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.32324, "decode.acc_seg": 71.44352, "aux.loss_seg": 0.15095, "aux.acc_seg": 70.05915, "loss": 0.4742, "time": 0.30127} +{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.3529, "decode.acc_seg": 69.27404, "aux.loss_seg": 0.16325, "aux.acc_seg": 68.04199, "loss": 0.51615, "time": 0.3008} +{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.33456, "decode.acc_seg": 68.72889, "aux.loss_seg": 0.15461, "aux.acc_seg": 67.44717, "loss": 0.48916, "time": 0.30004} +{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.3354, "decode.acc_seg": 69.08551, "aux.loss_seg": 0.15756, "aux.acc_seg": 67.74457, "loss": 0.49296, "time": 0.3004} +{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.35642, "decode.acc_seg": 70.47796, "aux.loss_seg": 0.16661, "aux.acc_seg": 69.16938, "loss": 0.52303, "time": 0.30002} +{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.34371, "decode.acc_seg": 68.62966, "aux.loss_seg": 0.1593, "aux.acc_seg": 67.24843, "loss": 0.50301, "time": 0.30051} +{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.33505, "decode.acc_seg": 71.27454, "aux.loss_seg": 0.15856, "aux.acc_seg": 69.80408, "loss": 0.49361, "time": 0.30166} +{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.32078, "decode.acc_seg": 71.17697, "aux.loss_seg": 0.15116, "aux.acc_seg": 69.64962, "loss": 0.47194, "time": 0.30066} +{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.34651, "decode.acc_seg": 68.43575, "aux.loss_seg": 0.16295, "aux.acc_seg": 66.95433, "loss": 0.50946, "time": 0.30243} +{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.33267, "decode.acc_seg": 68.84731, "aux.loss_seg": 0.15618, "aux.acc_seg": 67.5565, "loss": 0.48885, "time": 0.30221} +{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.32466, "decode.acc_seg": 69.95769, "aux.loss_seg": 0.1522, "aux.acc_seg": 68.76533, "loss": 0.47687, "time": 0.30284} +{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.34936, "decode.acc_seg": 69.84886, "aux.loss_seg": 0.16289, "aux.acc_seg": 68.52032, "loss": 0.51225, "time": 0.30336} +{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.33033, "decode.acc_seg": 71.68946, "aux.loss_seg": 0.15488, "aux.acc_seg": 70.46943, "loss": 0.4852, "time": 0.3016} +{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.34403, "decode.acc_seg": 70.8463, "aux.loss_seg": 0.15753, "aux.acc_seg": 69.49801, "loss": 0.50156, "time": 0.30088} +{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 36160, "data_time": 0.14908, "decode.loss_seg": 0.31757, "decode.acc_seg": 70.43575, "aux.loss_seg": 0.15069, "aux.acc_seg": 69.05643, "loss": 0.46826, "time": 0.46885} +{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.32028, "decode.acc_seg": 69.56941, "aux.loss_seg": 0.15157, "aux.acc_seg": 68.24515, "loss": 0.47185, "time": 0.30045} +{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.32183, "decode.acc_seg": 70.69025, "aux.loss_seg": 0.1523, "aux.acc_seg": 69.23683, "loss": 0.47413, "time": 0.30152} +{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.34097, "decode.acc_seg": 69.72516, "aux.loss_seg": 0.16055, "aux.acc_seg": 68.31696, "loss": 0.50152, "time": 0.29997} +{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.30132, "decode.acc_seg": 69.98693, "aux.loss_seg": 0.14519, "aux.acc_seg": 68.41819, "loss": 0.44652, "time": 0.29938} +{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.32511, "decode.acc_seg": 70.78212, "aux.loss_seg": 0.15475, "aux.acc_seg": 69.34994, "loss": 0.47986, "time": 0.30053} +{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.32283, "decode.acc_seg": 71.23774, "aux.loss_seg": 0.15346, "aux.acc_seg": 69.67517, "loss": 0.47629, "time": 0.30121} +{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.35332, "decode.acc_seg": 69.31713, "aux.loss_seg": 0.16245, "aux.acc_seg": 68.1333, "loss": 0.51576, "time": 0.29976} +{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.32016, "decode.acc_seg": 71.75782, "aux.loss_seg": 0.15106, "aux.acc_seg": 70.34019, "loss": 0.47122, "time": 0.30107} +{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.35034, "decode.acc_seg": 69.32983, "aux.loss_seg": 0.16039, "aux.acc_seg": 68.08295, "loss": 0.51073, "time": 0.30076} +{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.3333, "decode.acc_seg": 69.42579, "aux.loss_seg": 0.15509, "aux.acc_seg": 68.06161, "loss": 0.48839, "time": 0.30071} +{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.33995, "decode.acc_seg": 71.18998, "aux.loss_seg": 0.15848, "aux.acc_seg": 69.78312, "loss": 0.49843, "time": 0.30297} +{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.3432, "decode.acc_seg": 70.01807, "aux.loss_seg": 0.15908, "aux.acc_seg": 68.73856, "loss": 0.50227, "time": 0.30281} +{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.32268, "decode.acc_seg": 70.82144, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.40394, "loss": 0.47422, "time": 0.30322} +{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.33151, "decode.acc_seg": 70.07392, "aux.loss_seg": 0.15213, "aux.acc_seg": 69.03882, "loss": 0.48364, "time": 0.30214} +{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.31292, "decode.acc_seg": 70.66961, "aux.loss_seg": 0.1471, "aux.acc_seg": 69.35067, "loss": 0.46002, "time": 0.30275} +{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.34891, "decode.acc_seg": 69.86326, "aux.loss_seg": 0.16286, "aux.acc_seg": 68.64511, "loss": 0.51177, "time": 0.30325} +{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.35294, "decode.acc_seg": 69.95324, "aux.loss_seg": 0.16506, "aux.acc_seg": 68.35837, "loss": 0.51799, "time": 0.30312} +{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.32558, "decode.acc_seg": 71.42762, "aux.loss_seg": 0.15199, "aux.acc_seg": 70.1231, "loss": 0.47758, "time": 0.30087} +{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.31058, "decode.acc_seg": 71.18929, "aux.loss_seg": 0.14436, "aux.acc_seg": 70.06333, "loss": 0.45494, "time": 0.30157} +{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.31447, "decode.acc_seg": 68.98544, "aux.loss_seg": 0.14766, "aux.acc_seg": 67.85486, "loss": 0.46212, "time": 0.3024} +{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.34537, "decode.acc_seg": 69.99281, "aux.loss_seg": 0.16079, "aux.acc_seg": 68.49448, "loss": 0.50616, "time": 0.30391} +{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.32483, "decode.acc_seg": 69.98505, "aux.loss_seg": 0.15324, "aux.acc_seg": 68.74797, "loss": 0.47808, "time": 0.30276} +{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.31875, "decode.acc_seg": 70.00205, "aux.loss_seg": 0.1478, "aux.acc_seg": 68.77481, "loss": 0.46655, "time": 0.30212} +{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.35375, "decode.acc_seg": 69.58597, "aux.loss_seg": 0.16272, "aux.acc_seg": 68.34791, "loss": 0.51647, "time": 0.30318} +{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 36160, "data_time": 0.17204, "decode.loss_seg": 0.34395, "decode.acc_seg": 69.24054, "aux.loss_seg": 0.1581, "aux.acc_seg": 67.96262, "loss": 0.50205, "time": 0.46841} +{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.33751, "decode.acc_seg": 69.74939, "aux.loss_seg": 0.15856, "aux.acc_seg": 68.28689, "loss": 0.49607, "time": 0.30121} +{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.32593, "decode.acc_seg": 69.37045, "aux.loss_seg": 0.15465, "aux.acc_seg": 68.0113, "loss": 0.48058, "time": 0.30075} +{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.31243, "decode.acc_seg": 70.44461, "aux.loss_seg": 0.14447, "aux.acc_seg": 69.17895, "loss": 0.4569, "time": 0.30087} +{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.32275, "decode.acc_seg": 70.47292, "aux.loss_seg": 0.15008, "aux.acc_seg": 69.19471, "loss": 0.47283, "time": 0.30083} +{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.32906, "decode.acc_seg": 70.37929, "aux.loss_seg": 0.15439, "aux.acc_seg": 69.10422, "loss": 0.48345, "time": 0.30166} +{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.30604, "decode.acc_seg": 71.08979, "aux.loss_seg": 0.14656, "aux.acc_seg": 69.70789, "loss": 0.45261, "time": 0.30124} +{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.33048, "decode.acc_seg": 70.4968, "aux.loss_seg": 0.15552, "aux.acc_seg": 69.18294, "loss": 0.486, "time": 0.30081} +{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.31037, "decode.acc_seg": 69.64598, "aux.loss_seg": 0.14607, "aux.acc_seg": 68.33543, "loss": 0.45645, "time": 0.30064} +{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.32199, "decode.acc_seg": 70.99865, "aux.loss_seg": 0.15083, "aux.acc_seg": 69.59636, "loss": 0.47283, "time": 0.30117} +{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.30729, "decode.acc_seg": 71.04261, "aux.loss_seg": 0.14823, "aux.acc_seg": 69.4104, "loss": 0.45552, "time": 0.29989} +{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.33428, "decode.acc_seg": 69.81443, "aux.loss_seg": 0.15545, "aux.acc_seg": 68.62293, "loss": 0.48972, "time": 0.30096} +{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.33598, "decode.acc_seg": 69.56526, "aux.loss_seg": 0.15671, "aux.acc_seg": 68.28622, "loss": 0.49268, "time": 0.30199} +{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.33268, "decode.acc_seg": 71.68765, "aux.loss_seg": 0.15591, "aux.acc_seg": 70.47806, "loss": 0.48859, "time": 0.30228} +{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.33696, "decode.acc_seg": 69.84258, "aux.loss_seg": 0.1598, "aux.acc_seg": 68.48965, "loss": 0.49676, "time": 0.30146} +{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.33075, "decode.acc_seg": 69.73296, "aux.loss_seg": 0.15261, "aux.acc_seg": 68.53752, "loss": 0.48336, "time": 0.30192} +{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.33425, "decode.acc_seg": 69.99085, "aux.loss_seg": 0.15382, "aux.acc_seg": 68.94702, "loss": 0.48807, "time": 0.30034} +{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.35058, "decode.acc_seg": 69.94317, "aux.loss_seg": 0.16116, "aux.acc_seg": 68.66579, "loss": 0.51175, "time": 0.30112} +{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.31834, "decode.acc_seg": 70.12754, "aux.loss_seg": 0.14774, "aux.acc_seg": 68.91756, "loss": 0.46608, "time": 0.3008} +{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.32482, "decode.acc_seg": 70.54486, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.21478, "loss": 0.47662, "time": 0.30089} +{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.33767, "decode.acc_seg": 70.48973, "aux.loss_seg": 0.15729, "aux.acc_seg": 69.14611, "loss": 0.49496, "time": 0.30119} +{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.32909, "decode.acc_seg": 70.48619, "aux.loss_seg": 0.15395, "aux.acc_seg": 69.14993, "loss": 0.48304, "time": 0.3006} +{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.34885, "decode.acc_seg": 71.45132, "aux.loss_seg": 0.16373, "aux.acc_seg": 70.15906, "loss": 0.51258, "time": 0.30041} +{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.30632, "decode.acc_seg": 70.34728, "aux.loss_seg": 0.14222, "aux.acc_seg": 69.17465, "loss": 0.44854, "time": 0.30089} +{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.31819, "decode.acc_seg": 71.0412, "aux.loss_seg": 0.15227, "aux.acc_seg": 69.62685, "loss": 0.47046, "time": 0.30284} +{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 36160, "data_time": 0.16502, "decode.loss_seg": 0.32979, "decode.acc_seg": 70.12424, "aux.loss_seg": 0.15559, "aux.acc_seg": 68.89081, "loss": 0.48538, "time": 0.46146} +{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.30356, "decode.acc_seg": 71.97383, "aux.loss_seg": 0.14432, "aux.acc_seg": 70.68271, "loss": 0.44788, "time": 0.30046} +{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.31282, "decode.acc_seg": 71.23292, "aux.loss_seg": 0.14929, "aux.acc_seg": 69.8961, "loss": 0.46211, "time": 0.3007} +{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.32835, "decode.acc_seg": 69.98089, "aux.loss_seg": 0.15221, "aux.acc_seg": 68.67854, "loss": 0.48056, "time": 0.30082} +{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.33127, "decode.acc_seg": 70.59685, "aux.loss_seg": 0.15633, "aux.acc_seg": 69.2756, "loss": 0.4876, "time": 0.29986} +{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.34914, "decode.acc_seg": 70.00713, "aux.loss_seg": 0.16066, "aux.acc_seg": 68.68429, "loss": 0.50979, "time": 0.29924} +{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.33744, "decode.acc_seg": 69.90707, "aux.loss_seg": 0.15623, "aux.acc_seg": 68.46921, "loss": 0.49367, "time": 0.29857} +{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.33888, "decode.acc_seg": 71.24477, "aux.loss_seg": 0.15982, "aux.acc_seg": 69.85885, "loss": 0.4987, "time": 0.29925} +{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.32422, "decode.acc_seg": 68.67575, "aux.loss_seg": 0.15065, "aux.acc_seg": 67.38394, "loss": 0.47486, "time": 0.30411} +{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.3238, "decode.acc_seg": 71.33126, "aux.loss_seg": 0.14948, "aux.acc_seg": 70.03267, "loss": 0.47328, "time": 0.30419} +{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.30417, "decode.acc_seg": 70.33639, "aux.loss_seg": 0.14368, "aux.acc_seg": 69.05661, "loss": 0.44785, "time": 0.30196} +{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.30405, "decode.acc_seg": 70.57183, "aux.loss_seg": 0.14649, "aux.acc_seg": 69.03615, "loss": 0.45054, "time": 0.30319} +{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.31273, "decode.acc_seg": 69.71117, "aux.loss_seg": 0.14806, "aux.acc_seg": 68.46646, "loss": 0.46078, "time": 0.30162} +{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.32332, "decode.acc_seg": 72.53008, "aux.loss_seg": 0.15057, "aux.acc_seg": 71.24178, "loss": 0.47389, "time": 0.3017} +{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.30437, "decode.acc_seg": 69.67532, "aux.loss_seg": 0.14509, "aux.acc_seg": 68.30867, "loss": 0.44946, "time": 0.30072} +{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.30799, "decode.acc_seg": 69.99925, "aux.loss_seg": 0.14417, "aux.acc_seg": 68.90882, "loss": 0.45216, "time": 0.30137} +{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.3062, "decode.acc_seg": 70.09591, "aux.loss_seg": 0.14402, "aux.acc_seg": 68.72352, "loss": 0.45022, "time": 0.29991} +{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.31701, "decode.acc_seg": 70.67016, "aux.loss_seg": 0.15018, "aux.acc_seg": 69.35125, "loss": 0.46718, "time": 0.30134} +{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.3229, "decode.acc_seg": 70.33653, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.07026, "loss": 0.47404, "time": 0.30066} +{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.32204, "decode.acc_seg": 70.17556, "aux.loss_seg": 0.15155, "aux.acc_seg": 68.82841, "loss": 0.47358, "time": 0.29911} +{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.32703, "decode.acc_seg": 70.92427, "aux.loss_seg": 0.15372, "aux.acc_seg": 69.51651, "loss": 0.48076, "time": 0.29925} +{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.29755, "decode.acc_seg": 71.36433, "aux.loss_seg": 0.14082, "aux.acc_seg": 70.02968, "loss": 0.43837, "time": 0.30161} +{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.32472, "decode.acc_seg": 69.74477, "aux.loss_seg": 0.14929, "aux.acc_seg": 68.60375, "loss": 0.47401, "time": 0.30158} +{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.32405, "decode.acc_seg": 72.08762, "aux.loss_seg": 0.15183, "aux.acc_seg": 70.86602, "loss": 0.47587, "time": 0.30082} +{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.30938, "decode.acc_seg": 70.20031, "aux.loss_seg": 0.14692, "aux.acc_seg": 68.85665, "loss": 0.4563, "time": 0.30128} +{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.36408, "decode.acc_seg": 69.64331, "aux.loss_seg": 0.16694, "aux.acc_seg": 68.4683, "loss": 0.53102, "time": 0.30013} +{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 36160, "data_time": 0.17301, "decode.loss_seg": 0.33069, "decode.acc_seg": 71.89961, "aux.loss_seg": 0.15615, "aux.acc_seg": 70.55648, "loss": 0.48684, "time": 0.46797} +{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.32269, "decode.acc_seg": 70.46842, "aux.loss_seg": 0.14963, "aux.acc_seg": 69.29719, "loss": 0.47231, "time": 0.29954} +{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.33882, "decode.acc_seg": 70.25937, "aux.loss_seg": 0.16101, "aux.acc_seg": 68.88043, "loss": 0.49983, "time": 0.29971} +{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.31294, "decode.acc_seg": 70.27308, "aux.loss_seg": 0.14685, "aux.acc_seg": 69.09894, "loss": 0.45979, "time": 0.29976} +{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.32041, "decode.acc_seg": 70.34563, "aux.loss_seg": 0.15241, "aux.acc_seg": 68.97345, "loss": 0.47282, "time": 0.30019} +{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.3086, "decode.acc_seg": 71.38722, "aux.loss_seg": 0.14594, "aux.acc_seg": 70.14475, "loss": 0.45454, "time": 0.29968} +{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30159, "decode.acc_seg": 70.44881, "aux.loss_seg": 0.14193, "aux.acc_seg": 69.19523, "loss": 0.44351, "time": 0.30134} +{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.30331, "decode.acc_seg": 69.61227, "aux.loss_seg": 0.14321, "aux.acc_seg": 68.32318, "loss": 0.44652, "time": 0.30152} +{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.3186, "decode.acc_seg": 71.13928, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.86626, "loss": 0.46835, "time": 0.29974} +{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.33423, "decode.acc_seg": 70.99062, "aux.loss_seg": 0.15912, "aux.acc_seg": 69.60031, "loss": 0.49335, "time": 0.30295} +{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.33751, "decode.acc_seg": 71.59877, "aux.loss_seg": 0.15715, "aux.acc_seg": 70.20597, "loss": 0.49466, "time": 0.30199} +{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.29685, "decode.acc_seg": 72.15599, "aux.loss_seg": 0.1401, "aux.acc_seg": 70.82646, "loss": 0.43695, "time": 0.3015} +{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.31975, "decode.acc_seg": 70.43331, "aux.loss_seg": 0.15021, "aux.acc_seg": 69.08346, "loss": 0.46995, "time": 0.30145} +{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.31051, "decode.acc_seg": 69.80109, "aux.loss_seg": 0.14339, "aux.acc_seg": 68.58823, "loss": 0.4539, "time": 0.30172} +{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.32611, "decode.acc_seg": 70.64452, "aux.loss_seg": 0.15529, "aux.acc_seg": 69.11691, "loss": 0.4814, "time": 0.30013} +{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30728, "decode.acc_seg": 72.26145, "aux.loss_seg": 0.14572, "aux.acc_seg": 70.87341, "loss": 0.453, "time": 0.30177} +{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.32265, "decode.acc_seg": 72.00204, "aux.loss_seg": 0.15337, "aux.acc_seg": 70.66533, "loss": 0.47602, "time": 0.3015} +{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.29786, "decode.acc_seg": 69.55583, "aux.loss_seg": 0.14237, "aux.acc_seg": 68.10016, "loss": 0.44023, "time": 0.30017} +{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.29666, "decode.acc_seg": 71.47428, "aux.loss_seg": 0.14146, "aux.acc_seg": 70.1984, "loss": 0.43811, "time": 0.30051} +{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.33976, "decode.acc_seg": 69.62459, "aux.loss_seg": 0.15764, "aux.acc_seg": 68.26349, "loss": 0.49741, "time": 0.30117} +{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.30623, "decode.acc_seg": 70.08562, "aux.loss_seg": 0.14443, "aux.acc_seg": 68.69726, "loss": 0.45066, "time": 0.30028} +{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.29352, "decode.acc_seg": 71.94479, "aux.loss_seg": 0.1392, "aux.acc_seg": 70.66143, "loss": 0.43272, "time": 0.30052} +{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.31945, "decode.acc_seg": 71.07776, "aux.loss_seg": 0.14804, "aux.acc_seg": 69.93764, "loss": 0.46749, "time": 0.2997} +{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.32082, "decode.acc_seg": 69.42577, "aux.loss_seg": 0.14899, "aux.acc_seg": 68.14945, "loss": 0.4698, "time": 0.30218} +{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.31188, "decode.acc_seg": 70.02775, "aux.loss_seg": 0.14658, "aux.acc_seg": 68.84849, "loss": 0.45846, "time": 0.3014} +{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 36160, "data_time": 0.1663, "decode.loss_seg": 0.29714, "decode.acc_seg": 71.87043, "aux.loss_seg": 0.14057, "aux.acc_seg": 70.66603, "loss": 0.43771, "time": 0.46106} +{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.30141, "decode.acc_seg": 70.05015, "aux.loss_seg": 0.14295, "aux.acc_seg": 68.72386, "loss": 0.44437, "time": 0.29862} +{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.29876, "decode.acc_seg": 71.46672, "aux.loss_seg": 0.14226, "aux.acc_seg": 70.14609, "loss": 0.44103, "time": 0.30048} +{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.29568, "decode.acc_seg": 70.95893, "aux.loss_seg": 0.13945, "aux.acc_seg": 69.61957, "loss": 0.43513, "time": 0.29943} +{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.30401, "decode.acc_seg": 71.58547, "aux.loss_seg": 0.14368, "aux.acc_seg": 70.258, "loss": 0.44769, "time": 0.29938} +{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.31836, "decode.acc_seg": 70.22622, "aux.loss_seg": 0.14825, "aux.acc_seg": 68.9698, "loss": 0.46661, "time": 0.29975} +{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.30924, "decode.acc_seg": 71.78449, "aux.loss_seg": 0.14803, "aux.acc_seg": 70.40684, "loss": 0.45727, "time": 0.30024} +{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.30092, "decode.acc_seg": 70.36461, "aux.loss_seg": 0.14223, "aux.acc_seg": 69.08069, "loss": 0.44315, "time": 0.30052} +{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.31014, "decode.acc_seg": 72.16714, "aux.loss_seg": 0.14718, "aux.acc_seg": 70.72467, "loss": 0.45733, "time": 0.30013} +{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.29264, "decode.acc_seg": 72.41891, "aux.loss_seg": 0.13926, "aux.acc_seg": 71.0193, "loss": 0.4319, "time": 0.30254} +{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.30663, "decode.acc_seg": 72.06482, "aux.loss_seg": 0.14374, "aux.acc_seg": 70.9002, "loss": 0.45037, "time": 0.30241} +{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.3043, "decode.acc_seg": 71.72775, "aux.loss_seg": 0.14258, "aux.acc_seg": 70.48207, "loss": 0.44688, "time": 0.30138} +{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30938, "decode.acc_seg": 71.88332, "aux.loss_seg": 0.14333, "aux.acc_seg": 70.80969, "loss": 0.45271, "time": 0.3001} +{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.30246, "decode.acc_seg": 70.24804, "aux.loss_seg": 0.14247, "aux.acc_seg": 68.88077, "loss": 0.44493, "time": 0.3019} +{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.31873, "decode.acc_seg": 71.33484, "aux.loss_seg": 0.14919, "aux.acc_seg": 69.90172, "loss": 0.46792, "time": 0.30128} +{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.31288, "decode.acc_seg": 70.48811, "aux.loss_seg": 0.14812, "aux.acc_seg": 69.13256, "loss": 0.461, "time": 0.30167} +{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.32673, "decode.acc_seg": 70.7991, "aux.loss_seg": 0.1521, "aux.acc_seg": 69.43487, "loss": 0.47883, "time": 0.30323} +{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.32095, "decode.acc_seg": 69.85842, "aux.loss_seg": 0.15239, "aux.acc_seg": 68.30171, "loss": 0.47334, "time": 0.30388} +{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.30771, "decode.acc_seg": 70.30064, "aux.loss_seg": 0.14646, "aux.acc_seg": 68.83019, "loss": 0.45418, "time": 0.30293} +{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.30555, "decode.acc_seg": 71.28796, "aux.loss_seg": 0.14322, "aux.acc_seg": 70.13898, "loss": 0.44877, "time": 0.30208} +{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.29641, "decode.acc_seg": 71.60228, "aux.loss_seg": 0.13922, "aux.acc_seg": 70.35008, "loss": 0.43563, "time": 0.30101} +{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.32284, "decode.acc_seg": 70.27144, "aux.loss_seg": 0.15158, "aux.acc_seg": 69.11605, "loss": 0.47442, "time": 0.30083} +{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.3159, "decode.acc_seg": 71.64014, "aux.loss_seg": 0.1481, "aux.acc_seg": 70.28475, "loss": 0.464, "time": 0.30163} +{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.31738, "decode.acc_seg": 70.17247, "aux.loss_seg": 0.14888, "aux.acc_seg": 68.90706, "loss": 0.46626, "time": 0.30127} +{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.32237, "decode.acc_seg": 70.64149, "aux.loss_seg": 0.14979, "aux.acc_seg": 69.43978, "loss": 0.47216, "time": 0.3005} +{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 36160, "data_time": 0.17933, "decode.loss_seg": 0.31382, "decode.acc_seg": 71.78462, "aux.loss_seg": 0.14913, "aux.acc_seg": 70.45559, "loss": 0.46295, "time": 0.47398} +{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.31273, "decode.acc_seg": 71.5399, "aux.loss_seg": 0.14696, "aux.acc_seg": 70.30742, "loss": 0.45969, "time": 0.30112} +{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.29282, "decode.acc_seg": 71.24557, "aux.loss_seg": 0.13861, "aux.acc_seg": 69.90895, "loss": 0.43143, "time": 0.30045} +{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.3092, "decode.acc_seg": 71.38536, "aux.loss_seg": 0.14472, "aux.acc_seg": 70.12222, "loss": 0.45392, "time": 0.29925} +{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.31937, "decode.acc_seg": 70.70036, "aux.loss_seg": 0.14968, "aux.acc_seg": 69.36598, "loss": 0.46905, "time": 0.29922} +{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.34041, "decode.acc_seg": 71.06541, "aux.loss_seg": 0.15713, "aux.acc_seg": 69.66868, "loss": 0.49754, "time": 0.30124} +{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.31102, "decode.acc_seg": 69.32687, "aux.loss_seg": 0.1468, "aux.acc_seg": 68.09212, "loss": 0.45782, "time": 0.3002} +{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.31691, "decode.acc_seg": 70.63418, "aux.loss_seg": 0.15144, "aux.acc_seg": 69.14355, "loss": 0.46835, "time": 0.3006} +{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.30258, "decode.acc_seg": 71.06618, "aux.loss_seg": 0.14209, "aux.acc_seg": 69.81674, "loss": 0.44467, "time": 0.30301} +{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.28325, "decode.acc_seg": 71.23429, "aux.loss_seg": 0.13665, "aux.acc_seg": 69.66793, "loss": 0.4199, "time": 0.30236} +{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.29061, "decode.acc_seg": 70.57278, "aux.loss_seg": 0.13836, "aux.acc_seg": 69.21696, "loss": 0.42897, "time": 0.30082} +{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.31999, "decode.acc_seg": 70.14454, "aux.loss_seg": 0.14999, "aux.acc_seg": 68.80193, "loss": 0.46998, "time": 0.30069} +{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.32328, "decode.acc_seg": 71.72998, "aux.loss_seg": 0.15094, "aux.acc_seg": 70.55351, "loss": 0.47422, "time": 0.30011} +{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.27759, "decode.acc_seg": 72.5605, "aux.loss_seg": 0.13099, "aux.acc_seg": 71.36782, "loss": 0.40858, "time": 0.30097} +{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.28987, "decode.acc_seg": 72.09092, "aux.loss_seg": 0.13495, "aux.acc_seg": 70.8972, "loss": 0.42481, "time": 0.3003} +{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.29618, "decode.acc_seg": 72.20173, "aux.loss_seg": 0.13874, "aux.acc_seg": 70.96705, "loss": 0.43491, "time": 0.30078} +{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.30275, "decode.acc_seg": 71.30938, "aux.loss_seg": 0.14235, "aux.acc_seg": 70.13133, "loss": 0.4451, "time": 0.30229} +{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.31083, "decode.acc_seg": 69.82305, "aux.loss_seg": 0.14624, "aux.acc_seg": 68.53337, "loss": 0.45707, "time": 0.30117} +{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.2956, "decode.acc_seg": 71.44411, "aux.loss_seg": 0.14025, "aux.acc_seg": 70.19033, "loss": 0.43585, "time": 0.30238} +{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.31333, "decode.acc_seg": 70.28672, "aux.loss_seg": 0.14742, "aux.acc_seg": 68.99876, "loss": 0.46075, "time": 0.30302} +{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.30701, "decode.acc_seg": 71.17148, "aux.loss_seg": 0.14398, "aux.acc_seg": 69.9562, "loss": 0.45099, "time": 0.30212} +{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.30853, "decode.acc_seg": 71.19946, "aux.loss_seg": 0.14646, "aux.acc_seg": 69.93784, "loss": 0.45499, "time": 0.30227} +{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.30847, "decode.acc_seg": 70.54298, "aux.loss_seg": 0.14641, "aux.acc_seg": 69.31869, "loss": 0.45488, "time": 0.30254} +{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.30849, "decode.acc_seg": 70.13358, "aux.loss_seg": 0.14594, "aux.acc_seg": 68.80287, "loss": 0.45443, "time": 0.30221} +{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.29246, "decode.acc_seg": 72.03653, "aux.loss_seg": 0.13781, "aux.acc_seg": 70.65984, "loss": 0.43026, "time": 0.30211} +{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 36160, "data_time": 0.16703, "decode.loss_seg": 0.30407, "decode.acc_seg": 70.3779, "aux.loss_seg": 0.14507, "aux.acc_seg": 68.9203, "loss": 0.44914, "time": 0.46306} +{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.28731, "decode.acc_seg": 70.50573, "aux.loss_seg": 0.13642, "aux.acc_seg": 69.20725, "loss": 0.42373, "time": 0.30046} +{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.30405, "decode.acc_seg": 71.27428, "aux.loss_seg": 0.14453, "aux.acc_seg": 69.88095, "loss": 0.44858, "time": 0.30047} +{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.30303, "decode.acc_seg": 70.65152, "aux.loss_seg": 0.14212, "aux.acc_seg": 69.39219, "loss": 0.44515, "time": 0.30053} +{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.29298, "decode.acc_seg": 71.43552, "aux.loss_seg": 0.13802, "aux.acc_seg": 70.13348, "loss": 0.431, "time": 0.29996} +{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 36160, "data_time": 0.00647, "decode.loss_seg": 0.29364, "decode.acc_seg": 72.7677, "aux.loss_seg": 0.14049, "aux.acc_seg": 71.30645, "loss": 0.43413, "time": 0.29912} +{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.2965, "decode.acc_seg": 71.43365, "aux.loss_seg": 0.13958, "aux.acc_seg": 70.14515, "loss": 0.43608, "time": 0.29915} +{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.31282, "decode.acc_seg": 72.10814, "aux.loss_seg": 0.1488, "aux.acc_seg": 70.75814, "loss": 0.46162, "time": 0.29917} +{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.30116, "decode.acc_seg": 70.3872, "aux.loss_seg": 0.14155, "aux.acc_seg": 69.22683, "loss": 0.44272, "time": 0.30189} +{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.28295, "decode.acc_seg": 71.0681, "aux.loss_seg": 0.13539, "aux.acc_seg": 69.78455, "loss": 0.41834, "time": 0.30156} +{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.29136, "decode.acc_seg": 71.6561, "aux.loss_seg": 0.13855, "aux.acc_seg": 70.29246, "loss": 0.42991, "time": 0.30137} +{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 36160, "data_time": 0.00645, "decode.loss_seg": 0.29341, "decode.acc_seg": 71.86762, "aux.loss_seg": 0.13672, "aux.acc_seg": 70.78617, "loss": 0.43013, "time": 0.30155} +{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 36160, "data_time": 0.00626, "decode.loss_seg": 0.29591, "decode.acc_seg": 71.90713, "aux.loss_seg": 0.14079, "aux.acc_seg": 70.59344, "loss": 0.4367, "time": 0.30085} +{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.30871, "decode.acc_seg": 71.21329, "aux.loss_seg": 0.14756, "aux.acc_seg": 69.91146, "loss": 0.45627, "time": 0.30158} +{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.29508, "decode.acc_seg": 71.70554, "aux.loss_seg": 0.13747, "aux.acc_seg": 70.59803, "loss": 0.43255, "time": 0.3011} +{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.28924, "decode.acc_seg": 70.15965, "aux.loss_seg": 0.13675, "aux.acc_seg": 68.96426, "loss": 0.42599, "time": 0.30151} +{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 36160, "data_time": 0.00666, "decode.loss_seg": 0.28941, "decode.acc_seg": 71.06708, "aux.loss_seg": 0.13582, "aux.acc_seg": 69.97518, "loss": 0.42523, "time": 0.3007} +{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 36160, "data_time": 0.00642, "decode.loss_seg": 0.30341, "decode.acc_seg": 72.16055, "aux.loss_seg": 0.14459, "aux.acc_seg": 70.74461, "loss": 0.44799, "time": 0.29966} +{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.30295, "decode.acc_seg": 70.74921, "aux.loss_seg": 0.14378, "aux.acc_seg": 69.37384, "loss": 0.44672, "time": 0.29986} +{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.30157, "decode.acc_seg": 71.21045, "aux.loss_seg": 0.14227, "aux.acc_seg": 69.96583, "loss": 0.44383, "time": 0.3002} +{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 36160, "data_time": 0.00645, "decode.loss_seg": 0.31659, "decode.acc_seg": 70.62934, "aux.loss_seg": 0.14889, "aux.acc_seg": 69.29016, "loss": 0.46548, "time": 0.30061} +{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 36160, "data_time": 0.00658, "decode.loss_seg": 0.29289, "decode.acc_seg": 71.75445, "aux.loss_seg": 0.13847, "aux.acc_seg": 70.54916, "loss": 0.43136, "time": 0.30063} +{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 36160, "data_time": 0.00643, "decode.loss_seg": 0.30785, "decode.acc_seg": 70.49846, "aux.loss_seg": 0.14592, "aux.acc_seg": 69.26819, "loss": 0.45377, "time": 0.30028} +{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 36160, "data_time": 0.00642, "decode.loss_seg": 0.30477, "decode.acc_seg": 71.41529, "aux.loss_seg": 0.14308, "aux.acc_seg": 70.07818, "loss": 0.44784, "time": 0.30094} +{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.316, "decode.acc_seg": 70.56112, "aux.loss_seg": 0.14896, "aux.acc_seg": 69.0356, "loss": 0.46496, "time": 0.302} +{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.30545, "decode.acc_seg": 71.05259, "aux.loss_seg": 0.14682, "aux.acc_seg": 69.60381, "loss": 0.45227, "time": 0.29939} +{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 36160, "data_time": 0.16147, "decode.loss_seg": 0.30541, "decode.acc_seg": 72.10095, "aux.loss_seg": 0.14417, "aux.acc_seg": 70.74733, "loss": 0.44959, "time": 0.4676} +{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.29424, "decode.acc_seg": 70.98633, "aux.loss_seg": 0.13936, "aux.acc_seg": 69.63655, "loss": 0.4336, "time": 0.29965} +{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.2868, "decode.acc_seg": 71.44237, "aux.loss_seg": 0.13564, "aux.acc_seg": 70.23231, "loss": 0.42245, "time": 0.29872} +{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.2931, "decode.acc_seg": 72.90259, "aux.loss_seg": 0.14042, "aux.acc_seg": 71.56221, "loss": 0.43352, "time": 0.2992} +{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.31047, "decode.acc_seg": 72.00861, "aux.loss_seg": 0.14712, "aux.acc_seg": 70.61094, "loss": 0.45758, "time": 0.30284} +{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.30193, "decode.acc_seg": 68.55203, "aux.loss_seg": 0.14464, "aux.acc_seg": 67.12212, "loss": 0.44658, "time": 0.30044} +{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30265, "decode.acc_seg": 70.18673, "aux.loss_seg": 0.14277, "aux.acc_seg": 68.93721, "loss": 0.44542, "time": 0.3009} +{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.30409, "decode.acc_seg": 70.90993, "aux.loss_seg": 0.14158, "aux.acc_seg": 69.68345, "loss": 0.44568, "time": 0.30041} +{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.31284, "decode.acc_seg": 69.98844, "aux.loss_seg": 0.14716, "aux.acc_seg": 68.6879, "loss": 0.46, "time": 0.30113} +{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.28411, "decode.acc_seg": 70.52505, "aux.loss_seg": 0.1354, "aux.acc_seg": 69.22982, "loss": 0.41951, "time": 0.30181} +{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.31121, "decode.acc_seg": 72.29621, "aux.loss_seg": 0.14581, "aux.acc_seg": 70.89638, "loss": 0.45702, "time": 0.30109} +{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.29638, "decode.acc_seg": 72.08121, "aux.loss_seg": 0.13939, "aux.acc_seg": 70.75667, "loss": 0.43577, "time": 0.30195} +{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.29954, "decode.acc_seg": 71.96201, "aux.loss_seg": 0.13978, "aux.acc_seg": 70.77398, "loss": 0.43933, "time": 0.3027} +{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.30966, "decode.acc_seg": 70.40813, "aux.loss_seg": 0.14545, "aux.acc_seg": 69.02825, "loss": 0.4551, "time": 0.30266} +{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.29902, "decode.acc_seg": 71.48185, "aux.loss_seg": 0.14231, "aux.acc_seg": 70.15414, "loss": 0.44133, "time": 0.30176} +{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.29187, "decode.acc_seg": 70.60568, "aux.loss_seg": 0.13808, "aux.acc_seg": 69.30789, "loss": 0.42995, "time": 0.3033} +{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.31336, "decode.acc_seg": 70.43914, "aux.loss_seg": 0.14699, "aux.acc_seg": 68.99611, "loss": 0.46035, "time": 0.30191} +{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.30566, "decode.acc_seg": 70.7696, "aux.loss_seg": 0.14377, "aux.acc_seg": 69.46669, "loss": 0.44943, "time": 0.30196} +{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.31965, "decode.acc_seg": 71.51654, "aux.loss_seg": 0.14629, "aux.acc_seg": 70.32944, "loss": 0.46593, "time": 0.30257} +{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.29624, "decode.acc_seg": 71.42005, "aux.loss_seg": 0.13843, "aux.acc_seg": 70.26948, "loss": 0.43468, "time": 0.30213} +{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.28805, "decode.acc_seg": 70.90702, "aux.loss_seg": 0.13855, "aux.acc_seg": 69.66202, "loss": 0.4266, "time": 0.30101} +{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.30351, "decode.acc_seg": 70.44593, "aux.loss_seg": 0.14464, "aux.acc_seg": 69.18689, "loss": 0.44815, "time": 0.30109} +{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2938, "decode.acc_seg": 71.82453, "aux.loss_seg": 0.13983, "aux.acc_seg": 70.51198, "loss": 0.43363, "time": 0.30172} +{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.30235, "decode.acc_seg": 71.79688, "aux.loss_seg": 0.14286, "aux.acc_seg": 70.47333, "loss": 0.44521, "time": 0.30221} +{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.3131, "decode.acc_seg": 70.85995, "aux.loss_seg": 0.14615, "aux.acc_seg": 69.5779, "loss": 0.45925, "time": 0.30172} +{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 36160, "data_time": 0.18478, "decode.loss_seg": 0.28423, "decode.acc_seg": 72.00004, "aux.loss_seg": 0.1346, "aux.acc_seg": 70.77533, "loss": 0.41883, "time": 0.47952} +{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.28086, "decode.acc_seg": 71.9252, "aux.loss_seg": 0.13576, "aux.acc_seg": 70.46382, "loss": 0.41662, "time": 0.30027} +{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.2886, "decode.acc_seg": 70.52845, "aux.loss_seg": 0.13707, "aux.acc_seg": 69.20951, "loss": 0.42568, "time": 0.30055} +{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.28363, "decode.acc_seg": 71.94082, "aux.loss_seg": 0.13675, "aux.acc_seg": 70.50669, "loss": 0.42038, "time": 0.29986} +{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.29319, "decode.acc_seg": 71.27662, "aux.loss_seg": 0.13775, "aux.acc_seg": 70.06478, "loss": 0.43093, "time": 0.29939} +{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.28406, "decode.acc_seg": 73.02304, "aux.loss_seg": 0.13577, "aux.acc_seg": 71.72835, "loss": 0.41983, "time": 0.29945} +{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.28251, "decode.acc_seg": 71.91401, "aux.loss_seg": 0.13612, "aux.acc_seg": 70.43186, "loss": 0.41863, "time": 0.29909} +{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.27241, "decode.acc_seg": 70.12478, "aux.loss_seg": 0.12831, "aux.acc_seg": 68.93426, "loss": 0.40072, "time": 0.29917} +{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.28895, "decode.acc_seg": 70.5415, "aux.loss_seg": 0.13685, "aux.acc_seg": 69.1776, "loss": 0.42581, "time": 0.29933} +{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.29504, "decode.acc_seg": 70.74119, "aux.loss_seg": 0.14189, "aux.acc_seg": 69.39147, "loss": 0.43694, "time": 0.29965} +{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.2611, "decode.acc_seg": 70.30284, "aux.loss_seg": 0.12418, "aux.acc_seg": 68.97214, "loss": 0.38528, "time": 0.29936} +{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.29913, "decode.acc_seg": 71.8616, "aux.loss_seg": 0.14189, "aux.acc_seg": 70.2724, "loss": 0.44103, "time": 0.29893} +{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.30018, "decode.acc_seg": 71.34678, "aux.loss_seg": 0.14345, "aux.acc_seg": 69.93285, "loss": 0.44363, "time": 0.30245} +{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.28931, "decode.acc_seg": 71.34868, "aux.loss_seg": 0.13874, "aux.acc_seg": 70.06901, "loss": 0.42805, "time": 0.30021} +{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.30973, "decode.acc_seg": 71.96203, "aux.loss_seg": 0.14852, "aux.acc_seg": 70.26707, "loss": 0.45826, "time": 0.29963} +{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.28871, "decode.acc_seg": 71.49746, "aux.loss_seg": 0.13753, "aux.acc_seg": 70.26107, "loss": 0.42624, "time": 0.30215} +{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.29163, "decode.acc_seg": 72.19365, "aux.loss_seg": 0.13601, "aux.acc_seg": 70.96911, "loss": 0.42764, "time": 0.30147} +{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.29582, "decode.acc_seg": 70.45631, "aux.loss_seg": 0.14185, "aux.acc_seg": 69.06491, "loss": 0.43767, "time": 0.30061} +{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.30061, "decode.acc_seg": 70.58252, "aux.loss_seg": 0.14191, "aux.acc_seg": 69.21061, "loss": 0.44252, "time": 0.3017} +{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.29433, "decode.acc_seg": 72.05381, "aux.loss_seg": 0.14112, "aux.acc_seg": 70.66931, "loss": 0.43545, "time": 0.30022} +{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.29858, "decode.acc_seg": 72.07678, "aux.loss_seg": 0.14227, "aux.acc_seg": 70.73415, "loss": 0.44085, "time": 0.30047} +{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.29674, "decode.acc_seg": 70.08639, "aux.loss_seg": 0.14245, "aux.acc_seg": 68.56976, "loss": 0.43918, "time": 0.30112} +{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.29773, "decode.acc_seg": 72.46586, "aux.loss_seg": 0.14123, "aux.acc_seg": 71.00593, "loss": 0.43896, "time": 0.29999} +{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.28105, "decode.acc_seg": 70.76097, "aux.loss_seg": 0.13426, "aux.acc_seg": 69.50167, "loss": 0.41531, "time": 0.30075} +{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.28348, "decode.acc_seg": 72.14391, "aux.loss_seg": 0.13338, "aux.acc_seg": 71.02834, "loss": 0.41686, "time": 0.30058} +{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 36160, "data_time": 0.17193, "decode.loss_seg": 0.28267, "decode.acc_seg": 71.82455, "aux.loss_seg": 0.13593, "aux.acc_seg": 70.55146, "loss": 0.41859, "time": 0.46595} +{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.27858, "decode.acc_seg": 71.02734, "aux.loss_seg": 0.13401, "aux.acc_seg": 69.66477, "loss": 0.41259, "time": 0.30082} +{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.28674, "decode.acc_seg": 72.45845, "aux.loss_seg": 0.13529, "aux.acc_seg": 71.14517, "loss": 0.42203, "time": 0.29961} +{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.27781, "decode.acc_seg": 72.22745, "aux.loss_seg": 0.1326, "aux.acc_seg": 70.92828, "loss": 0.41041, "time": 0.30014} +{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.2803, "decode.acc_seg": 71.68137, "aux.loss_seg": 0.13282, "aux.acc_seg": 70.47223, "loss": 0.41312, "time": 0.30158} +{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.27326, "decode.acc_seg": 73.28002, "aux.loss_seg": 0.1306, "aux.acc_seg": 71.90586, "loss": 0.40386, "time": 0.30036} +{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.28247, "decode.acc_seg": 72.95265, "aux.loss_seg": 0.13286, "aux.acc_seg": 71.658, "loss": 0.41532, "time": 0.29965} +{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.28011, "decode.acc_seg": 69.80253, "aux.loss_seg": 0.13152, "aux.acc_seg": 68.71247, "loss": 0.41162, "time": 0.30026} +{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.2917, "decode.acc_seg": 70.4079, "aux.loss_seg": 0.13885, "aux.acc_seg": 69.05281, "loss": 0.43055, "time": 0.29972} +{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.29455, "decode.acc_seg": 71.92689, "aux.loss_seg": 0.1408, "aux.acc_seg": 70.48271, "loss": 0.43535, "time": 0.30071} +{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.29607, "decode.acc_seg": 73.36368, "aux.loss_seg": 0.14106, "aux.acc_seg": 72.11186, "loss": 0.43713, "time": 0.30188} +{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.29524, "decode.acc_seg": 71.99082, "aux.loss_seg": 0.14151, "aux.acc_seg": 70.62406, "loss": 0.43675, "time": 0.30217} +{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.29349, "decode.acc_seg": 69.89797, "aux.loss_seg": 0.1385, "aux.acc_seg": 68.57892, "loss": 0.43199, "time": 0.30199} +{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.2936, "decode.acc_seg": 71.54547, "aux.loss_seg": 0.14055, "aux.acc_seg": 70.2075, "loss": 0.43415, "time": 0.30116} +{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.29711, "decode.acc_seg": 71.32463, "aux.loss_seg": 0.13889, "aux.acc_seg": 70.19477, "loss": 0.436, "time": 0.30117} +{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.28617, "decode.acc_seg": 71.73352, "aux.loss_seg": 0.13748, "aux.acc_seg": 70.38841, "loss": 0.42365, "time": 0.301} +{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.27521, "decode.acc_seg": 73.82759, "aux.loss_seg": 0.13353, "aux.acc_seg": 72.38152, "loss": 0.40874, "time": 0.30112} +{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.27368, "decode.acc_seg": 71.28321, "aux.loss_seg": 0.13208, "aux.acc_seg": 69.89563, "loss": 0.40576, "time": 0.30211} +{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.28124, "decode.acc_seg": 70.45877, "aux.loss_seg": 0.13413, "aux.acc_seg": 69.02166, "loss": 0.41537, "time": 0.30091} +{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.28374, "decode.acc_seg": 71.33806, "aux.loss_seg": 0.13561, "aux.acc_seg": 69.87401, "loss": 0.41935, "time": 0.30134} +{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.29434, "decode.acc_seg": 72.21228, "aux.loss_seg": 0.14039, "aux.acc_seg": 70.77212, "loss": 0.43473, "time": 0.30057} +{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.27811, "decode.acc_seg": 70.86578, "aux.loss_seg": 0.13141, "aux.acc_seg": 69.70564, "loss": 0.40952, "time": 0.30081} +{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.27549, "decode.acc_seg": 71.51194, "aux.loss_seg": 0.13192, "aux.acc_seg": 70.15919, "loss": 0.40741, "time": 0.30032} +{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.2876, "decode.acc_seg": 72.29046, "aux.loss_seg": 0.13915, "aux.acc_seg": 70.78338, "loss": 0.42675, "time": 0.2995} +{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.29681, "decode.acc_seg": 70.36225, "aux.loss_seg": 0.13956, "aux.acc_seg": 69.19544, "loss": 0.43636, "time": 0.30232} +{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4736, "mAcc": 0.6003, "aAcc": 0.8169, "IoU.wall": 0.7557, "IoU.building": 0.8043, "IoU.sky": 0.9371, "IoU.floor": 0.8027, "IoU.tree": 0.7287, "IoU.ceiling": 0.8258, "IoU.road": 0.8026, "IoU.bed ": 0.8635, "IoU.windowpane": 0.5921, "IoU.grass": 0.6665, "IoU.cabinet": 0.5934, "IoU.sidewalk": 0.619, "IoU.person": 0.7764, "IoU.earth": 0.3556, "IoU.door": 0.4452, "IoU.table": 0.5446, "IoU.mountain": 0.5921, "IoU.plant": 0.5139, "IoU.curtain": 0.7129, "IoU.chair": 0.5255, "IoU.car": 0.8109, "IoU.water": 0.5488, "IoU.painting": 0.71, "IoU.sofa": 0.5479, "IoU.shelf": 0.4355, "IoU.house": 0.4494, "IoU.sea": 0.5275, "IoU.mirror": 0.5826, "IoU.rug": 0.6339, "IoU.field": 0.3329, "IoU.armchair": 0.3785, "IoU.seat": 0.5933, "IoU.fence": 0.3583, "IoU.desk": 0.4526, "IoU.rock": 0.4396, "IoU.wardrobe": 0.4451, "IoU.lamp": 0.5709, "IoU.bathtub": 0.7227, "IoU.railing": 0.3251, "IoU.cushion": 0.5401, "IoU.base": 0.3355, "IoU.box": 0.2521, "IoU.column": 0.4655, "IoU.signboard": 0.3595, "IoU.chest of drawers": 0.3586, "IoU.counter": 0.2749, "IoU.sand": 0.4448, "IoU.sink": 0.6487, "IoU.skyscraper": 0.5784, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7334, "IoU.grandstand": 0.3865, "IoU.path": 0.2067, "IoU.stairs": 0.2674, "IoU.runway": 0.7061, "IoU.case": 0.4834, "IoU.pool table": 0.9047, "IoU.pillow": 0.5342, "IoU.screen door": 0.6509, "IoU.stairway": 0.2828, "IoU.river": 0.0913, "IoU.bridge": 0.7167, "IoU.bookcase": 0.3993, "IoU.blind": NaN, "IoU.coffee table": 0.513, "IoU.toilet": 0.7902, "IoU.flower": 0.402, "IoU.book": 0.4127, "IoU.hill": 0.0932, "IoU.bench": 0.4322, "IoU.countertop": 0.476, "IoU.stove": 0.6667, "IoU.palm": 0.4597, "IoU.kitchen island": 0.3002, "IoU.computer": 0.6942, "IoU.swivel chair": 0.4191, "IoU.boat": 0.4813, "IoU.bar": 0.5004, "IoU.arcade machine": 0.6368, "IoU.hovel": 0.0275, "IoU.bus": 0.8925, "IoU.towel": 0.6564, "IoU.light": 0.522, "IoU.truck": 0.2856, "IoU.tower": 0.1963, "IoU.chandelier": 0.6268, "IoU.awning": 0.2383, "IoU.streetlight": 0.1984, "IoU.booth": 0.5552, "IoU.television receiver": NaN, "IoU.airplane": 0.5195, "IoU.dirt track": 0.0002, "IoU.apparel": 0.3369, "IoU.pole": 0.1514, "IoU.land": 0.0241, "IoU.bannister": 0.1183, "IoU.escalator": 0.4461, "IoU.ottoman": 0.381, "IoU.bottle": NaN, "IoU.buffet": 0.5403, "IoU.poster": 0.3021, "IoU.stage": 0.1478, "IoU.van": 0.3974, "IoU.ship": 0.5361, "IoU.fountain": 0.243, "IoU.conveyer belt": 0.7842, "IoU.canopy": 0.3346, "IoU.washer": 0.722, "IoU.plaything": 0.1863, "IoU.swimming pool": 0.6938, "IoU.stool": 0.3728, "IoU.barrel": 0.4987, "IoU.basket": 0.3254, "IoU.waterfall": 0.516, "IoU.tent": 0.9179, "IoU.bag": 0.1518, "IoU.minibike": 0.6611, "IoU.cradle": NaN, "IoU.oven": 0.3691, "IoU.ball": 0.4067, "IoU.food": 0.5546, "IoU.step": 0.0654, "IoU.tank": 0.5484, "IoU.trade name": 0.2394, "IoU.microwave": 0.7829, "IoU.pot": 0.4593, "IoU.animal": NaN, "IoU.bicycle": 0.5422, "IoU.lake": 0.4564, "IoU.dishwasher": 0.4825, "IoU.screen": 0.7151, "IoU.blanket": 0.1184, "IoU.sculpture": 0.4845, "IoU.hood": 0.5326, "IoU.sconce": 0.3779, "IoU.vase": 0.3301, "IoU.traffic light": 0.2323, "IoU.tray": 0.0507, "IoU.ashcan": 0.4136, "IoU.fan": 0.5797, "IoU.pier": 0.5105, "IoU.crt screen": 0.0068, "IoU.plate": 0.5724, "IoU.monitor": 0.5687, "IoU.bulletin board": 0.4772, "IoU.shower": 0.0, "IoU.radiator": 0.5543, "IoU.glass": 0.1074, "IoU.clock": 0.3845, "IoU.flag": 0.5409, "Acc.wall": 0.8703, "Acc.building": 0.9129, "Acc.sky": 0.9638, "Acc.floor": 0.8826, "Acc.tree": 0.8611, "Acc.ceiling": 0.9092, "Acc.road": 0.8659, "Acc.bed ": 0.9393, "Acc.windowpane": 0.781, "Acc.grass": 0.8533, "Acc.cabinet": 0.7073, "Acc.sidewalk": 0.8297, "Acc.person": 0.896, "Acc.earth": 0.5059, "Acc.door": 0.5737, "Acc.table": 0.7729, "Acc.mountain": 0.7484, "Acc.plant": 0.6023, "Acc.curtain": 0.8194, "Acc.chair": 0.6935, "Acc.car": 0.8916, "Acc.water": 0.6793, "Acc.painting": 0.854, "Acc.sofa": 0.6712, "Acc.shelf": 0.5867, "Acc.house": 0.7595, "Acc.sea": 0.7472, "Acc.mirror": 0.6762, "Acc.rug": 0.7607, "Acc.field": 0.4073, "Acc.armchair": 0.6065, "Acc.seat": 0.8111, "Acc.fence": 0.4657, "Acc.desk": 0.6584, "Acc.rock": 0.6829, "Acc.wardrobe": 0.5472, "Acc.lamp": 0.6828, "Acc.bathtub": 0.8034, "Acc.railing": 0.5133, "Acc.cushion": 0.6842, "Acc.base": 0.6136, "Acc.box": 0.3096, "Acc.column": 0.5883, "Acc.signboard": 0.502, "Acc.chest of drawers": 0.5315, "Acc.counter": 0.337, "Acc.sand": 0.6798, "Acc.sink": 0.7855, "Acc.skyscraper": 0.7431, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8121, "Acc.grandstand": 0.6277, "Acc.path": 0.2558, "Acc.stairs": 0.3571, "Acc.runway": 0.9308, "Acc.case": 0.7806, "Acc.pool table": 0.9517, "Acc.pillow": 0.6328, "Acc.screen door": 0.8364, "Acc.stairway": 0.3593, "Acc.river": 0.1676, "Acc.bridge": 0.8096, "Acc.bookcase": 0.5103, "Acc.blind": NaN, "Acc.coffee table": 0.8266, "Acc.toilet": 0.8491, "Acc.flower": 0.569, "Acc.book": 0.5251, "Acc.hill": 0.1369, "Acc.bench": 0.492, "Acc.countertop": 0.6895, "Acc.stove": 0.7692, "Acc.palm": 0.7035, "Acc.kitchen island": 0.6193, "Acc.computer": 0.8379, "Acc.swivel chair": 0.6542, "Acc.boat": 0.5914, "Acc.bar": 0.7125, "Acc.arcade machine": 0.7387, "Acc.hovel": 0.0288, "Acc.bus": 0.9493, "Acc.towel": 0.7685, "Acc.light": 0.6179, "Acc.truck": 0.4027, "Acc.tower": 0.3082, "Acc.chandelier": 0.7304, "Acc.awning": 0.2596, "Acc.streetlight": 0.259, "Acc.booth": 0.6616, "Acc.television receiver": NaN, "Acc.airplane": 0.7022, "Acc.dirt track": 0.0003, "Acc.apparel": 0.5352, "Acc.pole": 0.1925, "Acc.land": 0.0308, "Acc.bannister": 0.1493, "Acc.escalator": 0.6874, "Acc.ottoman": 0.5332, "Acc.bottle": NaN, "Acc.buffet": 0.7034, "Acc.poster": 0.4306, "Acc.stage": 0.2383, "Acc.van": 0.5108, "Acc.ship": 0.7137, "Acc.fountain": 0.2527, "Acc.conveyer belt": 0.8994, "Acc.canopy": 0.4946, "Acc.washer": 0.776, "Acc.plaything": 0.284, "Acc.swimming pool": 0.8886, "Acc.stool": 0.4641, "Acc.barrel": 0.6482, "Acc.basket": 0.4458, "Acc.waterfall": 0.693, "Acc.tent": 0.9815, "Acc.bag": 0.1852, "Acc.minibike": 0.8217, "Acc.cradle": NaN, "Acc.oven": 0.4848, "Acc.ball": 0.4785, "Acc.food": 0.6669, "Acc.step": 0.0897, "Acc.tank": 0.6577, "Acc.trade name": 0.2698, "Acc.microwave": 0.9251, "Acc.pot": 0.4972, "Acc.animal": NaN, "Acc.bicycle": 0.774, "Acc.lake": 0.7453, "Acc.dishwasher": 0.5891, "Acc.screen": 0.8966, "Acc.blanket": 0.1321, "Acc.sculpture": 0.703, "Acc.hood": 0.6358, "Acc.sconce": 0.4582, "Acc.vase": 0.5334, "Acc.traffic light": 0.332, "Acc.tray": 0.1014, "Acc.ashcan": 0.5568, "Acc.fan": 0.7122, "Acc.pier": 0.6925, "Acc.crt screen": 0.0087, "Acc.plate": 0.7254, "Acc.monitor": 0.7018, "Acc.bulletin board": 0.6736, "Acc.shower": 0.0, "Acc.radiator": 0.6769, "Acc.glass": 0.1139, "Acc.clock": 0.4581, "Acc.flag": 0.5919} +{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 36160, "data_time": 1.58837, "decode.loss_seg": 0.27351, "decode.acc_seg": 71.77114, "aux.loss_seg": 0.13058, "aux.acc_seg": 70.50008, "loss": 0.40409, "time": 1.88612} +{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.26701, "decode.acc_seg": 71.59147, "aux.loss_seg": 0.12822, "aux.acc_seg": 70.26272, "loss": 0.39522, "time": 0.30076} +{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.27747, "decode.acc_seg": 73.2321, "aux.loss_seg": 0.13309, "aux.acc_seg": 71.82759, "loss": 0.41056, "time": 0.30039} +{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.27978, "decode.acc_seg": 71.33173, "aux.loss_seg": 0.13228, "aux.acc_seg": 70.0815, "loss": 0.41206, "time": 0.29934} +{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.26331, "decode.acc_seg": 72.48431, "aux.loss_seg": 0.12645, "aux.acc_seg": 71.38192, "loss": 0.38976, "time": 0.29961} +{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.28397, "decode.acc_seg": 71.03063, "aux.loss_seg": 0.13559, "aux.acc_seg": 69.5487, "loss": 0.41955, "time": 0.29996} +{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.28482, "decode.acc_seg": 72.15201, "aux.loss_seg": 0.13899, "aux.acc_seg": 70.70331, "loss": 0.42381, "time": 0.2999} +{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.30439, "decode.acc_seg": 70.40455, "aux.loss_seg": 0.14355, "aux.acc_seg": 68.97266, "loss": 0.44794, "time": 0.30185} +{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.28598, "decode.acc_seg": 71.3844, "aux.loss_seg": 0.136, "aux.acc_seg": 70.11461, "loss": 0.42198, "time": 0.30144} +{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.27204, "decode.acc_seg": 71.79179, "aux.loss_seg": 0.13158, "aux.acc_seg": 70.29933, "loss": 0.40362, "time": 0.30176} +{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.26378, "decode.acc_seg": 71.74679, "aux.loss_seg": 0.12538, "aux.acc_seg": 70.49657, "loss": 0.38916, "time": 0.3011} +{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.27826, "decode.acc_seg": 71.99973, "aux.loss_seg": 0.13508, "aux.acc_seg": 70.53533, "loss": 0.41334, "time": 0.30163} +{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.29045, "decode.acc_seg": 70.7668, "aux.loss_seg": 0.13994, "aux.acc_seg": 69.40722, "loss": 0.43038, "time": 0.30225} +{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.29289, "decode.acc_seg": 72.86237, "aux.loss_seg": 0.13951, "aux.acc_seg": 71.45769, "loss": 0.4324, "time": 0.30129} +{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.29546, "decode.acc_seg": 71.32773, "aux.loss_seg": 0.13863, "aux.acc_seg": 70.05413, "loss": 0.43409, "time": 0.30012} +{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.28482, "decode.acc_seg": 72.03761, "aux.loss_seg": 0.13493, "aux.acc_seg": 70.67595, "loss": 0.41975, "time": 0.3013} +{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.27316, "decode.acc_seg": 73.70314, "aux.loss_seg": 0.12923, "aux.acc_seg": 72.41321, "loss": 0.40239, "time": 0.30052} +{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.27386, "decode.acc_seg": 72.06094, "aux.loss_seg": 0.1321, "aux.acc_seg": 70.63015, "loss": 0.40596, "time": 0.29947} +{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.28745, "decode.acc_seg": 70.70976, "aux.loss_seg": 0.13767, "aux.acc_seg": 69.30915, "loss": 0.42512, "time": 0.30128} +{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.28837, "decode.acc_seg": 71.5375, "aux.loss_seg": 0.13796, "aux.acc_seg": 70.09521, "loss": 0.42633, "time": 0.30174} +{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.28583, "decode.acc_seg": 71.90465, "aux.loss_seg": 0.13581, "aux.acc_seg": 70.56814, "loss": 0.42164, "time": 0.29984} +{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.26886, "decode.acc_seg": 74.48694, "aux.loss_seg": 0.12973, "aux.acc_seg": 73.04337, "loss": 0.39859, "time": 0.29968} +{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.28994, "decode.acc_seg": 72.13579, "aux.loss_seg": 0.13738, "aux.acc_seg": 70.95742, "loss": 0.42732, "time": 0.30011} +{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.27345, "decode.acc_seg": 70.98752, "aux.loss_seg": 0.13306, "aux.acc_seg": 69.55545, "loss": 0.4065, "time": 0.29962} +{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.27942, "decode.acc_seg": 71.9486, "aux.loss_seg": 0.13675, "aux.acc_seg": 70.30071, "loss": 0.41617, "time": 0.30037} +{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 36160, "data_time": 0.16939, "decode.loss_seg": 0.28219, "decode.acc_seg": 71.62696, "aux.loss_seg": 0.13554, "aux.acc_seg": 70.24464, "loss": 0.41774, "time": 0.46469} +{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.29271, "decode.acc_seg": 71.28935, "aux.loss_seg": 0.13826, "aux.acc_seg": 69.95753, "loss": 0.43097, "time": 0.2992} +{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.27415, "decode.acc_seg": 72.24598, "aux.loss_seg": 0.13, "aux.acc_seg": 70.99769, "loss": 0.40415, "time": 0.29904} +{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.28167, "decode.acc_seg": 72.88894, "aux.loss_seg": 0.13247, "aux.acc_seg": 71.69674, "loss": 0.41414, "time": 0.2995} +{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.25489, "decode.acc_seg": 71.55281, "aux.loss_seg": 0.12278, "aux.acc_seg": 70.22507, "loss": 0.37767, "time": 0.29982} +{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.2776, "decode.acc_seg": 71.34588, "aux.loss_seg": 0.13263, "aux.acc_seg": 69.99075, "loss": 0.41024, "time": 0.2994} +{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.26829, "decode.acc_seg": 71.2091, "aux.loss_seg": 0.12836, "aux.acc_seg": 69.85775, "loss": 0.39666, "time": 0.30226} +{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.27038, "decode.acc_seg": 71.65699, "aux.loss_seg": 0.12654, "aux.acc_seg": 70.53462, "loss": 0.39692, "time": 0.30127} +{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.27054, "decode.acc_seg": 72.3084, "aux.loss_seg": 0.12987, "aux.acc_seg": 70.97478, "loss": 0.40041, "time": 0.30207} +{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.27956, "decode.acc_seg": 71.87079, "aux.loss_seg": 0.13184, "aux.acc_seg": 70.67035, "loss": 0.41139, "time": 0.30145} +{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.29105, "decode.acc_seg": 71.72375, "aux.loss_seg": 0.1397, "aux.acc_seg": 70.3217, "loss": 0.43076, "time": 0.30265} +{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.282, "decode.acc_seg": 72.12123, "aux.loss_seg": 0.13609, "aux.acc_seg": 70.77031, "loss": 0.41809, "time": 0.30221} +{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.28315, "decode.acc_seg": 71.90426, "aux.loss_seg": 0.13408, "aux.acc_seg": 70.52964, "loss": 0.41723, "time": 0.30229} +{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.27654, "decode.acc_seg": 70.25156, "aux.loss_seg": 0.13294, "aux.acc_seg": 68.96976, "loss": 0.40948, "time": 0.3034} +{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.27771, "decode.acc_seg": 72.00259, "aux.loss_seg": 0.13441, "aux.acc_seg": 70.54327, "loss": 0.41213, "time": 0.30144} +{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.27188, "decode.acc_seg": 71.47443, "aux.loss_seg": 0.12825, "aux.acc_seg": 70.30961, "loss": 0.40013, "time": 0.30308} +{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.25465, "decode.acc_seg": 71.46769, "aux.loss_seg": 0.12307, "aux.acc_seg": 70.17438, "loss": 0.37772, "time": 0.30213} +{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.28797, "decode.acc_seg": 70.26749, "aux.loss_seg": 0.13678, "aux.acc_seg": 68.94691, "loss": 0.42474, "time": 0.30218} +{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.28902, "decode.acc_seg": 72.34597, "aux.loss_seg": 0.1404, "aux.acc_seg": 70.91613, "loss": 0.42942, "time": 0.30118} +{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.2767, "decode.acc_seg": 72.35875, "aux.loss_seg": 0.13499, "aux.acc_seg": 70.94595, "loss": 0.41169, "time": 0.30075} +{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.27438, "decode.acc_seg": 72.11919, "aux.loss_seg": 0.13079, "aux.acc_seg": 70.78165, "loss": 0.40517, "time": 0.30256} +{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.26034, "decode.acc_seg": 71.06803, "aux.loss_seg": 0.12416, "aux.acc_seg": 69.77385, "loss": 0.3845, "time": 0.30165} +{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.28399, "decode.acc_seg": 73.49416, "aux.loss_seg": 0.13635, "aux.acc_seg": 72.14253, "loss": 0.42034, "time": 0.30221} +{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.27629, "decode.acc_seg": 70.96464, "aux.loss_seg": 0.13199, "aux.acc_seg": 69.5587, "loss": 0.40827, "time": 0.30135} +{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.28023, "decode.acc_seg": 71.06644, "aux.loss_seg": 0.13265, "aux.acc_seg": 69.72181, "loss": 0.41288, "time": 0.302} +{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 36160, "data_time": 0.17959, "decode.loss_seg": 0.28415, "decode.acc_seg": 70.98188, "aux.loss_seg": 0.13598, "aux.acc_seg": 69.58861, "loss": 0.42012, "time": 0.47459} +{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.27347, "decode.acc_seg": 71.47573, "aux.loss_seg": 0.13201, "aux.acc_seg": 70.1551, "loss": 0.40548, "time": 0.3011} +{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.28161, "decode.acc_seg": 71.60968, "aux.loss_seg": 0.13332, "aux.acc_seg": 70.44002, "loss": 0.41492, "time": 0.30152} +{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.28367, "decode.acc_seg": 71.97118, "aux.loss_seg": 0.13456, "aux.acc_seg": 70.62473, "loss": 0.41823, "time": 0.30048} +{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.26231, "decode.acc_seg": 73.60788, "aux.loss_seg": 0.12589, "aux.acc_seg": 72.35619, "loss": 0.3882, "time": 0.30046} +{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.27237, "decode.acc_seg": 71.47872, "aux.loss_seg": 0.1289, "aux.acc_seg": 70.36671, "loss": 0.40127, "time": 0.30081} +{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.27165, "decode.acc_seg": 72.6091, "aux.loss_seg": 0.13159, "aux.acc_seg": 71.12884, "loss": 0.40324, "time": 0.30413} +{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.28824, "decode.acc_seg": 72.33607, "aux.loss_seg": 0.13576, "aux.acc_seg": 71.08393, "loss": 0.424, "time": 0.303} +{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.29611, "decode.acc_seg": 71.74295, "aux.loss_seg": 0.14062, "aux.acc_seg": 70.37561, "loss": 0.43673, "time": 0.30306} +{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.28445, "decode.acc_seg": 71.49933, "aux.loss_seg": 0.13593, "aux.acc_seg": 70.11176, "loss": 0.42038, "time": 0.30327} +{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.27163, "decode.acc_seg": 70.92048, "aux.loss_seg": 0.12939, "aux.acc_seg": 69.6357, "loss": 0.40102, "time": 0.30259} +{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.27672, "decode.acc_seg": 71.26958, "aux.loss_seg": 0.13241, "aux.acc_seg": 70.09468, "loss": 0.40913, "time": 0.30306} +{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.27455, "decode.acc_seg": 73.1525, "aux.loss_seg": 0.13242, "aux.acc_seg": 71.94541, "loss": 0.40697, "time": 0.3039} +{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.27712, "decode.acc_seg": 71.01143, "aux.loss_seg": 0.13324, "aux.acc_seg": 69.57666, "loss": 0.41036, "time": 0.30425} +{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.26912, "decode.acc_seg": 70.93759, "aux.loss_seg": 0.12984, "aux.acc_seg": 69.65087, "loss": 0.39895, "time": 0.30171} +{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.30327, "decode.acc_seg": 71.13576, "aux.loss_seg": 0.14266, "aux.acc_seg": 69.83156, "loss": 0.44593, "time": 0.3026} +{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.26877, "decode.acc_seg": 72.29943, "aux.loss_seg": 0.1289, "aux.acc_seg": 70.94229, "loss": 0.39766, "time": 0.30102} +{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.26329, "decode.acc_seg": 70.80538, "aux.loss_seg": 0.12747, "aux.acc_seg": 69.44562, "loss": 0.39076, "time": 0.30081} +{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.2867, "decode.acc_seg": 71.31637, "aux.loss_seg": 0.13703, "aux.acc_seg": 70.05085, "loss": 0.42373, "time": 0.30194} +{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.27736, "decode.acc_seg": 70.22305, "aux.loss_seg": 0.13155, "aux.acc_seg": 68.92341, "loss": 0.40891, "time": 0.30157} +{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.26357, "decode.acc_seg": 71.94664, "aux.loss_seg": 0.12531, "aux.acc_seg": 70.72446, "loss": 0.38888, "time": 0.30186} +{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 36160, "data_time": 0.00652, "decode.loss_seg": 0.26751, "decode.acc_seg": 71.69575, "aux.loss_seg": 0.12603, "aux.acc_seg": 70.58062, "loss": 0.39354, "time": 0.30055} +{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.2803, "decode.acc_seg": 72.45449, "aux.loss_seg": 0.13097, "aux.acc_seg": 71.31555, "loss": 0.41127, "time": 0.30113} +{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.26947, "decode.acc_seg": 71.29544, "aux.loss_seg": 0.12788, "aux.acc_seg": 70.01736, "loss": 0.39735, "time": 0.30183} +{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.27064, "decode.acc_seg": 71.83128, "aux.loss_seg": 0.12876, "aux.acc_seg": 70.52028, "loss": 0.3994, "time": 0.30142} +{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 36160, "data_time": 0.17208, "decode.loss_seg": 0.27417, "decode.acc_seg": 71.7654, "aux.loss_seg": 0.13187, "aux.acc_seg": 70.36554, "loss": 0.40603, "time": 0.46751} +{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.25483, "decode.acc_seg": 72.85133, "aux.loss_seg": 0.12143, "aux.acc_seg": 71.63806, "loss": 0.37625, "time": 0.30129} +{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.27339, "decode.acc_seg": 72.93899, "aux.loss_seg": 0.13185, "aux.acc_seg": 71.58823, "loss": 0.40524, "time": 0.30079} +{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.26859, "decode.acc_seg": 71.10589, "aux.loss_seg": 0.13087, "aux.acc_seg": 69.74271, "loss": 0.39946, "time": 0.30126} +{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.26494, "decode.acc_seg": 72.27789, "aux.loss_seg": 0.12872, "aux.acc_seg": 70.81357, "loss": 0.39366, "time": 0.30079} +{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.2604, "decode.acc_seg": 70.77589, "aux.loss_seg": 0.12407, "aux.acc_seg": 69.45841, "loss": 0.38447, "time": 0.30091} +{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.28322, "decode.acc_seg": 71.30601, "aux.loss_seg": 0.13651, "aux.acc_seg": 70.0091, "loss": 0.41974, "time": 0.30165} +{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.26774, "decode.acc_seg": 71.85183, "aux.loss_seg": 0.13118, "aux.acc_seg": 70.41312, "loss": 0.39892, "time": 0.30256} +{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.25935, "decode.acc_seg": 72.58967, "aux.loss_seg": 0.12694, "aux.acc_seg": 71.10638, "loss": 0.38629, "time": 0.30334} +{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.28096, "decode.acc_seg": 71.21868, "aux.loss_seg": 0.13339, "aux.acc_seg": 69.9509, "loss": 0.41434, "time": 0.30326} +{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.26475, "decode.acc_seg": 73.66794, "aux.loss_seg": 0.12637, "aux.acc_seg": 72.42207, "loss": 0.39112, "time": 0.30177} +{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.26935, "decode.acc_seg": 70.33125, "aux.loss_seg": 0.12999, "aux.acc_seg": 68.95046, "loss": 0.39934, "time": 0.30111} +{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.2701, "decode.acc_seg": 72.49427, "aux.loss_seg": 0.12908, "aux.acc_seg": 71.31617, "loss": 0.39918, "time": 0.30207} +{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 36160, "data_time": 0.00655, "decode.loss_seg": 0.29686, "decode.acc_seg": 71.14175, "aux.loss_seg": 0.14157, "aux.acc_seg": 69.65797, "loss": 0.43842, "time": 0.30099} +{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 36160, "data_time": 0.0066, "decode.loss_seg": 0.26909, "decode.acc_seg": 72.47587, "aux.loss_seg": 0.12969, "aux.acc_seg": 71.10476, "loss": 0.39879, "time": 0.30057} +{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.27953, "decode.acc_seg": 72.54401, "aux.loss_seg": 0.13341, "aux.acc_seg": 71.23202, "loss": 0.41294, "time": 0.30006} +{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.27162, "decode.acc_seg": 71.79987, "aux.loss_seg": 0.13024, "aux.acc_seg": 70.4481, "loss": 0.40186, "time": 0.2998} +{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2765, "decode.acc_seg": 71.03583, "aux.loss_seg": 0.12982, "aux.acc_seg": 69.77204, "loss": 0.40633, "time": 0.30082} +{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.28354, "decode.acc_seg": 71.66406, "aux.loss_seg": 0.13307, "aux.acc_seg": 70.36047, "loss": 0.41661, "time": 0.2993} +{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.27261, "decode.acc_seg": 71.36294, "aux.loss_seg": 0.13137, "aux.acc_seg": 69.95024, "loss": 0.40397, "time": 0.30082} +{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.29226, "decode.acc_seg": 71.20233, "aux.loss_seg": 0.13972, "aux.acc_seg": 69.81123, "loss": 0.43199, "time": 0.30062} +{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.26248, "decode.acc_seg": 72.98471, "aux.loss_seg": 0.127, "aux.acc_seg": 71.57205, "loss": 0.38948, "time": 0.29902} +{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.28261, "decode.acc_seg": 73.46698, "aux.loss_seg": 0.13725, "aux.acc_seg": 72.01991, "loss": 0.41986, "time": 0.30064} +{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.26151, "decode.acc_seg": 72.41969, "aux.loss_seg": 0.12638, "aux.acc_seg": 71.01525, "loss": 0.38789, "time": 0.3013} +{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.26763, "decode.acc_seg": 72.49353, "aux.loss_seg": 0.12803, "aux.acc_seg": 71.23178, "loss": 0.39566, "time": 0.30156} +{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 36160, "data_time": 0.17865, "decode.loss_seg": 0.26255, "decode.acc_seg": 72.25698, "aux.loss_seg": 0.12573, "aux.acc_seg": 70.9546, "loss": 0.38828, "time": 0.47428} +{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.2682, "decode.acc_seg": 73.36554, "aux.loss_seg": 0.12782, "aux.acc_seg": 72.09845, "loss": 0.39602, "time": 0.30144} +{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.26342, "decode.acc_seg": 73.53724, "aux.loss_seg": 0.12636, "aux.acc_seg": 72.2425, "loss": 0.38978, "time": 0.30204} +{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.25514, "decode.acc_seg": 71.80455, "aux.loss_seg": 0.12229, "aux.acc_seg": 70.58422, "loss": 0.37743, "time": 0.30199} +{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.24896, "decode.acc_seg": 72.78082, "aux.loss_seg": 0.12097, "aux.acc_seg": 71.43589, "loss": 0.36993, "time": 0.30245} +{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.26573, "decode.acc_seg": 71.81297, "aux.loss_seg": 0.12815, "aux.acc_seg": 70.49872, "loss": 0.39388, "time": 0.30245} +{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.24922, "decode.acc_seg": 72.19406, "aux.loss_seg": 0.12144, "aux.acc_seg": 70.79431, "loss": 0.37065, "time": 0.30043} +{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.27635, "decode.acc_seg": 71.62703, "aux.loss_seg": 0.13272, "aux.acc_seg": 70.38594, "loss": 0.40907, "time": 0.30113} +{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.26967, "decode.acc_seg": 73.02747, "aux.loss_seg": 0.12786, "aux.acc_seg": 71.90212, "loss": 0.39753, "time": 0.30351} +{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.27918, "decode.acc_seg": 71.89514, "aux.loss_seg": 0.13182, "aux.acc_seg": 70.64427, "loss": 0.411, "time": 0.30245} +{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.25219, "decode.acc_seg": 71.34314, "aux.loss_seg": 0.12257, "aux.acc_seg": 70.05557, "loss": 0.37476, "time": 0.30146} +{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.26788, "decode.acc_seg": 72.75184, "aux.loss_seg": 0.12886, "aux.acc_seg": 71.43429, "loss": 0.39673, "time": 0.30237} +{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.27227, "decode.acc_seg": 73.41118, "aux.loss_seg": 0.1333, "aux.acc_seg": 71.96387, "loss": 0.40557, "time": 0.30216} +{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.25626, "decode.acc_seg": 73.56856, "aux.loss_seg": 0.12467, "aux.acc_seg": 72.19716, "loss": 0.38093, "time": 0.30222} +{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.25802, "decode.acc_seg": 71.1342, "aux.loss_seg": 0.12369, "aux.acc_seg": 69.97908, "loss": 0.38172, "time": 0.30235} +{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.27134, "decode.acc_seg": 72.0094, "aux.loss_seg": 0.12938, "aux.acc_seg": 70.68239, "loss": 0.40072, "time": 0.30151} +{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.27051, "decode.acc_seg": 71.83405, "aux.loss_seg": 0.12984, "aux.acc_seg": 70.59168, "loss": 0.40034, "time": 0.30322} +{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.26984, "decode.acc_seg": 72.53276, "aux.loss_seg": 0.12975, "aux.acc_seg": 71.27157, "loss": 0.39958, "time": 0.30355} +{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.25769, "decode.acc_seg": 71.47849, "aux.loss_seg": 0.12542, "aux.acc_seg": 70.01866, "loss": 0.38311, "time": 0.30395} +{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.25526, "decode.acc_seg": 73.03437, "aux.loss_seg": 0.1246, "aux.acc_seg": 71.69212, "loss": 0.37987, "time": 0.30277} +{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.25784, "decode.acc_seg": 72.95418, "aux.loss_seg": 0.12389, "aux.acc_seg": 71.76159, "loss": 0.38173, "time": 0.30213} +{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.26422, "decode.acc_seg": 72.09388, "aux.loss_seg": 0.12842, "aux.acc_seg": 70.63538, "loss": 0.39264, "time": 0.30028} +{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.28493, "decode.acc_seg": 72.18184, "aux.loss_seg": 0.13458, "aux.acc_seg": 71.0093, "loss": 0.41951, "time": 0.30001} +{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.26394, "decode.acc_seg": 70.98486, "aux.loss_seg": 0.12706, "aux.acc_seg": 69.65057, "loss": 0.391, "time": 0.30067} +{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.28143, "decode.acc_seg": 72.49501, "aux.loss_seg": 0.13684, "aux.acc_seg": 71.01096, "loss": 0.41826, "time": 0.30008} +{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.27996, "decode.acc_seg": 70.35708, "aux.loss_seg": 0.13298, "aux.acc_seg": 69.16149, "loss": 0.41295, "time": 0.30061} +{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 36160, "data_time": 0.14845, "decode.loss_seg": 0.25778, "decode.acc_seg": 73.23354, "aux.loss_seg": 0.12368, "aux.acc_seg": 71.97659, "loss": 0.38146, "time": 0.466} +{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.27217, "decode.acc_seg": 72.5972, "aux.loss_seg": 0.12895, "aux.acc_seg": 71.46497, "loss": 0.40112, "time": 0.29998} +{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.26421, "decode.acc_seg": 72.08523, "aux.loss_seg": 0.12643, "aux.acc_seg": 70.78986, "loss": 0.39063, "time": 0.29969} +{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.29107, "decode.acc_seg": 72.68841, "aux.loss_seg": 0.13892, "aux.acc_seg": 71.00743, "loss": 0.43, "time": 0.30062} +{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.26958, "decode.acc_seg": 71.82952, "aux.loss_seg": 0.12879, "aux.acc_seg": 70.56008, "loss": 0.39837, "time": 0.30079} +{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.281, "decode.acc_seg": 71.48454, "aux.loss_seg": 0.13617, "aux.acc_seg": 70.09249, "loss": 0.41717, "time": 0.3002} +{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.26461, "decode.acc_seg": 73.30984, "aux.loss_seg": 0.12613, "aux.acc_seg": 72.04904, "loss": 0.39074, "time": 0.29992} +{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.26328, "decode.acc_seg": 72.957, "aux.loss_seg": 0.12568, "aux.acc_seg": 71.73353, "loss": 0.38896, "time": 0.30035} +{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.26329, "decode.acc_seg": 71.55719, "aux.loss_seg": 0.12685, "aux.acc_seg": 70.26246, "loss": 0.39014, "time": 0.30164} +{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.24946, "decode.acc_seg": 72.18128, "aux.loss_seg": 0.11968, "aux.acc_seg": 70.91664, "loss": 0.36913, "time": 0.3018} +{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.25481, "decode.acc_seg": 72.47711, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.07378, "loss": 0.37939, "time": 0.30086} +{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.25522, "decode.acc_seg": 72.46143, "aux.loss_seg": 0.12467, "aux.acc_seg": 71.06123, "loss": 0.37989, "time": 0.30103} +{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.26464, "decode.acc_seg": 72.15208, "aux.loss_seg": 0.12708, "aux.acc_seg": 70.72583, "loss": 0.39173, "time": 0.29965} +{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.27628, "decode.acc_seg": 72.36398, "aux.loss_seg": 0.13084, "aux.acc_seg": 71.08264, "loss": 0.40713, "time": 0.29991} +{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.26595, "decode.acc_seg": 71.07964, "aux.loss_seg": 0.13079, "aux.acc_seg": 69.53154, "loss": 0.39675, "time": 0.30099} +{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.26623, "decode.acc_seg": 71.51914, "aux.loss_seg": 0.12817, "aux.acc_seg": 70.16061, "loss": 0.3944, "time": 0.30077} +{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.25523, "decode.acc_seg": 72.68154, "aux.loss_seg": 0.12451, "aux.acc_seg": 71.30573, "loss": 0.37974, "time": 0.30132} +{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.26467, "decode.acc_seg": 72.10628, "aux.loss_seg": 0.12551, "aux.acc_seg": 70.92992, "loss": 0.39017, "time": 0.30215} +{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.26778, "decode.acc_seg": 71.74121, "aux.loss_seg": 0.12917, "aux.acc_seg": 70.36819, "loss": 0.39695, "time": 0.29923} +{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.26568, "decode.acc_seg": 71.92211, "aux.loss_seg": 0.12723, "aux.acc_seg": 70.61847, "loss": 0.39291, "time": 0.2996} +{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.27307, "decode.acc_seg": 72.31563, "aux.loss_seg": 0.13397, "aux.acc_seg": 70.98918, "loss": 0.40704, "time": 0.30014} +{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.25339, "decode.acc_seg": 71.46732, "aux.loss_seg": 0.1223, "aux.acc_seg": 70.23865, "loss": 0.37569, "time": 0.30175} +{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.27795, "decode.acc_seg": 71.08259, "aux.loss_seg": 0.1301, "aux.acc_seg": 69.96953, "loss": 0.40805, "time": 0.29997} +{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.27675, "decode.acc_seg": 71.72605, "aux.loss_seg": 0.13268, "aux.acc_seg": 70.30008, "loss": 0.40942, "time": 0.30046} +{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.26406, "decode.acc_seg": 73.19727, "aux.loss_seg": 0.12669, "aux.acc_seg": 71.8178, "loss": 0.39075, "time": 0.30067} +{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 36160, "data_time": 0.17161, "decode.loss_seg": 0.25264, "decode.acc_seg": 72.94399, "aux.loss_seg": 0.12244, "aux.acc_seg": 71.53503, "loss": 0.37508, "time": 0.46697} +{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.24961, "decode.acc_seg": 71.9694, "aux.loss_seg": 0.12086, "aux.acc_seg": 70.66343, "loss": 0.37047, "time": 0.30033} +{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.26278, "decode.acc_seg": 72.57867, "aux.loss_seg": 0.12743, "aux.acc_seg": 71.10967, "loss": 0.39022, "time": 0.29935} +{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.26654, "decode.acc_seg": 73.69853, "aux.loss_seg": 0.12818, "aux.acc_seg": 72.36312, "loss": 0.39473, "time": 0.29985} +{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25371, "decode.acc_seg": 72.37027, "aux.loss_seg": 0.12255, "aux.acc_seg": 71.06993, "loss": 0.37626, "time": 0.30047} +{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.24361, "decode.acc_seg": 71.67008, "aux.loss_seg": 0.12067, "aux.acc_seg": 70.15786, "loss": 0.36428, "time": 0.30022} +{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.25545, "decode.acc_seg": 73.50417, "aux.loss_seg": 0.12352, "aux.acc_seg": 72.22236, "loss": 0.37896, "time": 0.30211} +{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.25089, "decode.acc_seg": 70.82026, "aux.loss_seg": 0.12152, "aux.acc_seg": 69.54174, "loss": 0.37241, "time": 0.30084} +{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.26213, "decode.acc_seg": 72.24901, "aux.loss_seg": 0.12612, "aux.acc_seg": 71.01299, "loss": 0.38825, "time": 0.30223} +{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 36160, "data_time": 0.00641, "decode.loss_seg": 0.25822, "decode.acc_seg": 72.23677, "aux.loss_seg": 0.12361, "aux.acc_seg": 70.98603, "loss": 0.38183, "time": 0.30328} +{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.25139, "decode.acc_seg": 72.17169, "aux.loss_seg": 0.12121, "aux.acc_seg": 71.01408, "loss": 0.3726, "time": 0.30282} +{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.24505, "decode.acc_seg": 70.74769, "aux.loss_seg": 0.11836, "aux.acc_seg": 69.49874, "loss": 0.36341, "time": 0.30346} +{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.26683, "decode.acc_seg": 71.25034, "aux.loss_seg": 0.12943, "aux.acc_seg": 69.82009, "loss": 0.39626, "time": 0.30048} +{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.26574, "decode.acc_seg": 71.89083, "aux.loss_seg": 0.12865, "aux.acc_seg": 70.47173, "loss": 0.39439, "time": 0.30162} +{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.27287, "decode.acc_seg": 71.02564, "aux.loss_seg": 0.13185, "aux.acc_seg": 69.78485, "loss": 0.40472, "time": 0.30283} +{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.24164, "decode.acc_seg": 71.96229, "aux.loss_seg": 0.11671, "aux.acc_seg": 70.59917, "loss": 0.35836, "time": 0.30218} +{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.25171, "decode.acc_seg": 73.82582, "aux.loss_seg": 0.12315, "aux.acc_seg": 72.38571, "loss": 0.37486, "time": 0.30163} +{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.25832, "decode.acc_seg": 72.4548, "aux.loss_seg": 0.12456, "aux.acc_seg": 71.27582, "loss": 0.38288, "time": 0.30189} +{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.26279, "decode.acc_seg": 71.20647, "aux.loss_seg": 0.12554, "aux.acc_seg": 69.9824, "loss": 0.38833, "time": 0.30245} +{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.26234, "decode.acc_seg": 72.40227, "aux.loss_seg": 0.12475, "aux.acc_seg": 71.07605, "loss": 0.38709, "time": 0.30289} +{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.26239, "decode.acc_seg": 72.99644, "aux.loss_seg": 0.12559, "aux.acc_seg": 71.7753, "loss": 0.38798, "time": 0.30257} +{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.26913, "decode.acc_seg": 71.68638, "aux.loss_seg": 0.12931, "aux.acc_seg": 70.28894, "loss": 0.39844, "time": 0.30331} +{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.26993, "decode.acc_seg": 71.88758, "aux.loss_seg": 0.13084, "aux.acc_seg": 70.40051, "loss": 0.40077, "time": 0.30334} +{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.24836, "decode.acc_seg": 71.48984, "aux.loss_seg": 0.11987, "aux.acc_seg": 70.15312, "loss": 0.36823, "time": 0.30232} +{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 36160, "data_time": 0.00626, "decode.loss_seg": 0.25926, "decode.acc_seg": 73.11238, "aux.loss_seg": 0.12536, "aux.acc_seg": 71.84301, "loss": 0.38462, "time": 0.30334} +{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 36160, "data_time": 0.17664, "decode.loss_seg": 0.27172, "decode.acc_seg": 73.27095, "aux.loss_seg": 0.13121, "aux.acc_seg": 71.98425, "loss": 0.40292, "time": 0.47312} +{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.24987, "decode.acc_seg": 72.4429, "aux.loss_seg": 0.12126, "aux.acc_seg": 71.03065, "loss": 0.37113, "time": 0.30036} +{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.25019, "decode.acc_seg": 73.572, "aux.loss_seg": 0.12132, "aux.acc_seg": 72.25505, "loss": 0.37151, "time": 0.2995} +{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.27175, "decode.acc_seg": 72.8487, "aux.loss_seg": 0.1294, "aux.acc_seg": 71.54637, "loss": 0.40115, "time": 0.30123} +{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.2747, "decode.acc_seg": 73.46719, "aux.loss_seg": 0.13222, "aux.acc_seg": 72.12725, "loss": 0.40692, "time": 0.30211} +{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.26847, "decode.acc_seg": 71.58538, "aux.loss_seg": 0.12809, "aux.acc_seg": 70.20607, "loss": 0.39655, "time": 0.30157} +{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.24878, "decode.acc_seg": 72.79425, "aux.loss_seg": 0.11784, "aux.acc_seg": 71.67093, "loss": 0.36662, "time": 0.30273} +{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.25155, "decode.acc_seg": 71.8133, "aux.loss_seg": 0.12344, "aux.acc_seg": 70.3611, "loss": 0.37498, "time": 0.30186} +{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.25694, "decode.acc_seg": 71.7271, "aux.loss_seg": 0.12587, "aux.acc_seg": 70.23874, "loss": 0.38281, "time": 0.30277} +{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25379, "decode.acc_seg": 72.24649, "aux.loss_seg": 0.12284, "aux.acc_seg": 70.81167, "loss": 0.37664, "time": 0.30273} +{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.27494, "decode.acc_seg": 72.2023, "aux.loss_seg": 0.12981, "aux.acc_seg": 71.0291, "loss": 0.40475, "time": 0.30209} +{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.25157, "decode.acc_seg": 73.20389, "aux.loss_seg": 0.12257, "aux.acc_seg": 71.9001, "loss": 0.37414, "time": 0.30167} +{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.26415, "decode.acc_seg": 71.99217, "aux.loss_seg": 0.12814, "aux.acc_seg": 70.47222, "loss": 0.39229, "time": 0.30203} +{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.24496, "decode.acc_seg": 70.72692, "aux.loss_seg": 0.11918, "aux.acc_seg": 69.27628, "loss": 0.36415, "time": 0.30228} +{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.25556, "decode.acc_seg": 72.77176, "aux.loss_seg": 0.1254, "aux.acc_seg": 71.34412, "loss": 0.38097, "time": 0.30283} +{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.25798, "decode.acc_seg": 72.54434, "aux.loss_seg": 0.12365, "aux.acc_seg": 71.32486, "loss": 0.38163, "time": 0.30276} +{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.25948, "decode.acc_seg": 71.30155, "aux.loss_seg": 0.12509, "aux.acc_seg": 69.91007, "loss": 0.38458, "time": 0.3028} +{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25097, "decode.acc_seg": 72.46773, "aux.loss_seg": 0.12283, "aux.acc_seg": 71.06942, "loss": 0.3738, "time": 0.30138} +{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25697, "decode.acc_seg": 70.58238, "aux.loss_seg": 0.12403, "aux.acc_seg": 69.22441, "loss": 0.381, "time": 0.30153} +{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.24602, "decode.acc_seg": 71.40862, "aux.loss_seg": 0.11943, "aux.acc_seg": 70.10885, "loss": 0.36545, "time": 0.30532} +{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.25593, "decode.acc_seg": 72.55954, "aux.loss_seg": 0.12337, "aux.acc_seg": 71.29933, "loss": 0.37929, "time": 0.303} +{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.26272, "decode.acc_seg": 71.39913, "aux.loss_seg": 0.12717, "aux.acc_seg": 69.95239, "loss": 0.38989, "time": 0.30362} +{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.24902, "decode.acc_seg": 71.33705, "aux.loss_seg": 0.12102, "aux.acc_seg": 70.06066, "loss": 0.37004, "time": 0.30363} +{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.26348, "decode.acc_seg": 72.4341, "aux.loss_seg": 0.127, "aux.acc_seg": 71.06238, "loss": 0.39048, "time": 0.30098} +{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.27118, "decode.acc_seg": 71.55953, "aux.loss_seg": 0.13096, "aux.acc_seg": 70.0871, "loss": 0.40213, "time": 0.30041} +{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 36160, "data_time": 0.18059, "decode.loss_seg": 0.26457, "decode.acc_seg": 71.94287, "aux.loss_seg": 0.1268, "aux.acc_seg": 70.59148, "loss": 0.39136, "time": 0.47583} +{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.24082, "decode.acc_seg": 72.48908, "aux.loss_seg": 0.1169, "aux.acc_seg": 71.25804, "loss": 0.35772, "time": 0.29936} +{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.23765, "decode.acc_seg": 71.88023, "aux.loss_seg": 0.11606, "aux.acc_seg": 70.52538, "loss": 0.35372, "time": 0.29955} +{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.25105, "decode.acc_seg": 73.8291, "aux.loss_seg": 0.12271, "aux.acc_seg": 72.38387, "loss": 0.37376, "time": 0.29875} +{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.24728, "decode.acc_seg": 72.78205, "aux.loss_seg": 0.12109, "aux.acc_seg": 71.42703, "loss": 0.36838, "time": 0.29919} +{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.24714, "decode.acc_seg": 71.49565, "aux.loss_seg": 0.12153, "aux.acc_seg": 70.26123, "loss": 0.36868, "time": 0.29909} +{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.25827, "decode.acc_seg": 71.62077, "aux.loss_seg": 0.12588, "aux.acc_seg": 70.19776, "loss": 0.38415, "time": 0.30097} +{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.2514, "decode.acc_seg": 70.63219, "aux.loss_seg": 0.12386, "aux.acc_seg": 69.16928, "loss": 0.37526, "time": 0.30264} +{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.25104, "decode.acc_seg": 71.50279, "aux.loss_seg": 0.12152, "aux.acc_seg": 70.19229, "loss": 0.37256, "time": 0.30146} +{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.25794, "decode.acc_seg": 72.93784, "aux.loss_seg": 0.12501, "aux.acc_seg": 71.49754, "loss": 0.38296, "time": 0.30151} +{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.28534, "decode.acc_seg": 71.62477, "aux.loss_seg": 0.13582, "aux.acc_seg": 70.25137, "loss": 0.42116, "time": 0.30109} +{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.24671, "decode.acc_seg": 72.98062, "aux.loss_seg": 0.11773, "aux.acc_seg": 71.76096, "loss": 0.36444, "time": 0.30192} +{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.2395, "decode.acc_seg": 73.32702, "aux.loss_seg": 0.11788, "aux.acc_seg": 71.99751, "loss": 0.35739, "time": 0.30196} +{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.24957, "decode.acc_seg": 73.76217, "aux.loss_seg": 0.12128, "aux.acc_seg": 72.32868, "loss": 0.37085, "time": 0.30116} +{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.23736, "decode.acc_seg": 72.45743, "aux.loss_seg": 0.11637, "aux.acc_seg": 71.11845, "loss": 0.35373, "time": 0.30146} +{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.24873, "decode.acc_seg": 72.28159, "aux.loss_seg": 0.12008, "aux.acc_seg": 71.10433, "loss": 0.36881, "time": 0.30234} +{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.26021, "decode.acc_seg": 72.74061, "aux.loss_seg": 0.12366, "aux.acc_seg": 71.48758, "loss": 0.38387, "time": 0.30253} +{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.24806, "decode.acc_seg": 72.99258, "aux.loss_seg": 0.11964, "aux.acc_seg": 71.63969, "loss": 0.3677, "time": 0.30147} +{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.24963, "decode.acc_seg": 72.05566, "aux.loss_seg": 0.11935, "aux.acc_seg": 70.81847, "loss": 0.36898, "time": 0.30275} +{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.2544, "decode.acc_seg": 71.68235, "aux.loss_seg": 0.12385, "aux.acc_seg": 70.44237, "loss": 0.37825, "time": 0.30246} +{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.25775, "decode.acc_seg": 72.85336, "aux.loss_seg": 0.12591, "aux.acc_seg": 71.45872, "loss": 0.38366, "time": 0.30172} +{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.27161, "decode.acc_seg": 72.00388, "aux.loss_seg": 0.13223, "aux.acc_seg": 70.61609, "loss": 0.40384, "time": 0.30246} +{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.26849, "decode.acc_seg": 71.48465, "aux.loss_seg": 0.12958, "aux.acc_seg": 70.19858, "loss": 0.39808, "time": 0.3019} +{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.2535, "decode.acc_seg": 73.25344, "aux.loss_seg": 0.12311, "aux.acc_seg": 71.85811, "loss": 0.37661, "time": 0.30191} +{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.27015, "decode.acc_seg": 73.75052, "aux.loss_seg": 0.12985, "aux.acc_seg": 72.38568, "loss": 0.4, "time": 0.30039} +{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.26634, "decode.acc_seg": 72.74927, "aux.loss_seg": 0.12998, "aux.acc_seg": 71.2486, "loss": 0.39632, "time": 0.30218} +{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 36160, "data_time": 0.17114, "decode.loss_seg": 0.22135, "decode.acc_seg": 72.69185, "aux.loss_seg": 0.10898, "aux.acc_seg": 71.39537, "loss": 0.33033, "time": 0.46555} +{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.2535, "decode.acc_seg": 72.0277, "aux.loss_seg": 0.12277, "aux.acc_seg": 70.68722, "loss": 0.37627, "time": 0.29985} +{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.24871, "decode.acc_seg": 73.46545, "aux.loss_seg": 0.11902, "aux.acc_seg": 72.26444, "loss": 0.36774, "time": 0.29874} +{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.23478, "decode.acc_seg": 72.20737, "aux.loss_seg": 0.11194, "aux.acc_seg": 71.18762, "loss": 0.34672, "time": 0.29907} +{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 36160, "data_time": 0.00451, "decode.loss_seg": 0.2399, "decode.acc_seg": 71.828, "aux.loss_seg": 0.11737, "aux.acc_seg": 70.48709, "loss": 0.35727, "time": 0.30037} +{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.26257, "decode.acc_seg": 73.14662, "aux.loss_seg": 0.12708, "aux.acc_seg": 71.88627, "loss": 0.38964, "time": 0.29985} +{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.25104, "decode.acc_seg": 72.52705, "aux.loss_seg": 0.12062, "aux.acc_seg": 71.29421, "loss": 0.37166, "time": 0.30069} +{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.25356, "decode.acc_seg": 72.88577, "aux.loss_seg": 0.1234, "aux.acc_seg": 71.4725, "loss": 0.37695, "time": 0.30154} +{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 36160, "data_time": 0.00456, "decode.loss_seg": 0.26264, "decode.acc_seg": 72.31581, "aux.loss_seg": 0.12695, "aux.acc_seg": 70.9909, "loss": 0.38959, "time": 0.30119} +{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.25749, "decode.acc_seg": 72.62584, "aux.loss_seg": 0.12577, "aux.acc_seg": 71.20165, "loss": 0.38325, "time": 0.29981} +{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.2346, "decode.acc_seg": 73.10792, "aux.loss_seg": 0.11382, "aux.acc_seg": 71.82175, "loss": 0.34842, "time": 0.29977} +{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.25281, "decode.acc_seg": 72.1894, "aux.loss_seg": 0.12176, "aux.acc_seg": 70.8201, "loss": 0.37457, "time": 0.29933} +{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.25128, "decode.acc_seg": 74.07208, "aux.loss_seg": 0.12386, "aux.acc_seg": 72.59462, "loss": 0.37514, "time": 0.29978} +{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.24554, "decode.acc_seg": 73.16861, "aux.loss_seg": 0.1189, "aux.acc_seg": 71.89819, "loss": 0.36444, "time": 0.30101} +{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.24351, "decode.acc_seg": 70.44051, "aux.loss_seg": 0.11681, "aux.acc_seg": 69.25532, "loss": 0.36032, "time": 0.30138} +{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.25536, "decode.acc_seg": 72.88776, "aux.loss_seg": 0.12657, "aux.acc_seg": 71.47484, "loss": 0.38193, "time": 0.30044} +{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.25282, "decode.acc_seg": 74.07298, "aux.loss_seg": 0.12113, "aux.acc_seg": 72.88017, "loss": 0.37394, "time": 0.29959} +{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.23206, "decode.acc_seg": 73.76029, "aux.loss_seg": 0.11369, "aux.acc_seg": 72.39535, "loss": 0.34574, "time": 0.30043} +{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.25979, "decode.acc_seg": 72.57711, "aux.loss_seg": 0.12611, "aux.acc_seg": 71.29435, "loss": 0.3859, "time": 0.30093} +{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.2567, "decode.acc_seg": 71.81051, "aux.loss_seg": 0.12609, "aux.acc_seg": 70.33829, "loss": 0.38279, "time": 0.3011} +{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.25343, "decode.acc_seg": 72.08349, "aux.loss_seg": 0.12326, "aux.acc_seg": 70.6978, "loss": 0.37669, "time": 0.30023} +{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.26136, "decode.acc_seg": 70.81989, "aux.loss_seg": 0.12831, "aux.acc_seg": 69.29158, "loss": 0.38967, "time": 0.30009} +{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.26385, "decode.acc_seg": 72.99342, "aux.loss_seg": 0.12752, "aux.acc_seg": 71.6433, "loss": 0.39137, "time": 0.29965} +{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.25935, "decode.acc_seg": 73.81273, "aux.loss_seg": 0.1279, "aux.acc_seg": 72.45389, "loss": 0.38725, "time": 0.30066} +{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.26039, "decode.acc_seg": 72.25575, "aux.loss_seg": 0.1263, "aux.acc_seg": 70.86118, "loss": 0.38668, "time": 0.29954} +{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 36160, "data_time": 0.17357, "decode.loss_seg": 0.26446, "decode.acc_seg": 74.02766, "aux.loss_seg": 0.13029, "aux.acc_seg": 72.44372, "loss": 0.39475, "time": 0.46853} +{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.24898, "decode.acc_seg": 72.3239, "aux.loss_seg": 0.12152, "aux.acc_seg": 70.91984, "loss": 0.3705, "time": 0.29976} +{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.23907, "decode.acc_seg": 73.32079, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.76384, "loss": 0.3578, "time": 0.30119} +{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.24425, "decode.acc_seg": 72.84026, "aux.loss_seg": 0.11991, "aux.acc_seg": 71.38482, "loss": 0.36416, "time": 0.3001} +{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.24604, "decode.acc_seg": 72.52221, "aux.loss_seg": 0.11899, "aux.acc_seg": 71.14927, "loss": 0.36503, "time": 0.30032} +{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.2469, "decode.acc_seg": 72.81676, "aux.loss_seg": 0.12127, "aux.acc_seg": 71.34797, "loss": 0.36816, "time": 0.30076} +{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.24547, "decode.acc_seg": 71.67149, "aux.loss_seg": 0.11864, "aux.acc_seg": 70.42073, "loss": 0.36411, "time": 0.30201} +{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25048, "decode.acc_seg": 72.14625, "aux.loss_seg": 0.12032, "aux.acc_seg": 70.85693, "loss": 0.37079, "time": 0.30198} +{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.24736, "decode.acc_seg": 72.41396, "aux.loss_seg": 0.12052, "aux.acc_seg": 71.12721, "loss": 0.36788, "time": 0.30261} +{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.24487, "decode.acc_seg": 73.2103, "aux.loss_seg": 0.11849, "aux.acc_seg": 71.99891, "loss": 0.36336, "time": 0.30217} +{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.24941, "decode.acc_seg": 72.55169, "aux.loss_seg": 0.12224, "aux.acc_seg": 71.17881, "loss": 0.37165, "time": 0.30292} +{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.23202, "decode.acc_seg": 73.32072, "aux.loss_seg": 0.11406, "aux.acc_seg": 72.0611, "loss": 0.34608, "time": 0.3021} +{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.25025, "decode.acc_seg": 73.20618, "aux.loss_seg": 0.12185, "aux.acc_seg": 71.80388, "loss": 0.3721, "time": 0.3022} +{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.24838, "decode.acc_seg": 72.45611, "aux.loss_seg": 0.12042, "aux.acc_seg": 70.9747, "loss": 0.3688, "time": 0.30173} +{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.23996, "decode.acc_seg": 72.77455, "aux.loss_seg": 0.11492, "aux.acc_seg": 71.53608, "loss": 0.35488, "time": 0.30255} +{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.22946, "decode.acc_seg": 73.19718, "aux.loss_seg": 0.1117, "aux.acc_seg": 71.95278, "loss": 0.34115, "time": 0.30212} +{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.24104, "decode.acc_seg": 74.11832, "aux.loss_seg": 0.1186, "aux.acc_seg": 72.64546, "loss": 0.35964, "time": 0.30135} +{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.2583, "decode.acc_seg": 72.43546, "aux.loss_seg": 0.12594, "aux.acc_seg": 71.00099, "loss": 0.38424, "time": 0.30282} +{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.24517, "decode.acc_seg": 72.57748, "aux.loss_seg": 0.11965, "aux.acc_seg": 71.16608, "loss": 0.36482, "time": 0.30223} +{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.26758, "decode.acc_seg": 72.77784, "aux.loss_seg": 0.13111, "aux.acc_seg": 71.16971, "loss": 0.39869, "time": 0.30176} +{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 36160, "data_time": 0.00628, "decode.loss_seg": 0.26057, "decode.acc_seg": 72.72622, "aux.loss_seg": 0.12655, "aux.acc_seg": 71.32601, "loss": 0.38712, "time": 0.30403} +{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.24579, "decode.acc_seg": 73.19115, "aux.loss_seg": 0.12176, "aux.acc_seg": 71.6529, "loss": 0.36754, "time": 0.30346} +{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.24486, "decode.acc_seg": 73.02234, "aux.loss_seg": 0.118, "aux.acc_seg": 71.8245, "loss": 0.36286, "time": 0.30303} +{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.25279, "decode.acc_seg": 72.66572, "aux.loss_seg": 0.12344, "aux.acc_seg": 71.28472, "loss": 0.37623, "time": 0.30034} +{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.25886, "decode.acc_seg": 72.13604, "aux.loss_seg": 0.1243, "aux.acc_seg": 70.84739, "loss": 0.38316, "time": 0.30206} +{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 36160, "data_time": 0.16372, "decode.loss_seg": 0.24153, "decode.acc_seg": 72.7055, "aux.loss_seg": 0.11963, "aux.acc_seg": 71.27451, "loss": 0.36116, "time": 0.46091} +{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.23179, "decode.acc_seg": 72.91263, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.51185, "loss": 0.34574, "time": 0.30023} +{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.24026, "decode.acc_seg": 73.41435, "aux.loss_seg": 0.11954, "aux.acc_seg": 72.00375, "loss": 0.3598, "time": 0.29993} +{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.25388, "decode.acc_seg": 72.12908, "aux.loss_seg": 0.12527, "aux.acc_seg": 70.61617, "loss": 0.37915, "time": 0.29987} +{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.23662, "decode.acc_seg": 72.42516, "aux.loss_seg": 0.11257, "aux.acc_seg": 71.36958, "loss": 0.3492, "time": 0.29915} +{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.25208, "decode.acc_seg": 70.51428, "aux.loss_seg": 0.12075, "aux.acc_seg": 69.1977, "loss": 0.37282, "time": 0.29904} +{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.23338, "decode.acc_seg": 72.04614, "aux.loss_seg": 0.11316, "aux.acc_seg": 70.68673, "loss": 0.34654, "time": 0.30109} +{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.25137, "decode.acc_seg": 73.06987, "aux.loss_seg": 0.12096, "aux.acc_seg": 71.79892, "loss": 0.37233, "time": 0.30088} +{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.23458, "decode.acc_seg": 72.76685, "aux.loss_seg": 0.11561, "aux.acc_seg": 71.41695, "loss": 0.3502, "time": 0.30101} +{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.23706, "decode.acc_seg": 72.17467, "aux.loss_seg": 0.11673, "aux.acc_seg": 70.84718, "loss": 0.35379, "time": 0.30105} +{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.22249, "decode.acc_seg": 73.46249, "aux.loss_seg": 0.10988, "aux.acc_seg": 72.06392, "loss": 0.33236, "time": 0.30087} +{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.24323, "decode.acc_seg": 73.11647, "aux.loss_seg": 0.11931, "aux.acc_seg": 71.75647, "loss": 0.36254, "time": 0.30051} +{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2491, "decode.acc_seg": 72.60984, "aux.loss_seg": 0.12096, "aux.acc_seg": 71.2393, "loss": 0.37006, "time": 0.30014} +{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.24466, "decode.acc_seg": 71.80371, "aux.loss_seg": 0.11845, "aux.acc_seg": 70.54561, "loss": 0.36311, "time": 0.30228} +{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.24802, "decode.acc_seg": 72.24879, "aux.loss_seg": 0.12263, "aux.acc_seg": 70.74811, "loss": 0.37065, "time": 0.30266} +{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.23631, "decode.acc_seg": 72.71082, "aux.loss_seg": 0.11661, "aux.acc_seg": 71.30321, "loss": 0.35292, "time": 0.30466} +{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.24144, "decode.acc_seg": 72.53587, "aux.loss_seg": 0.11903, "aux.acc_seg": 71.1462, "loss": 0.36047, "time": 0.30306} +{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.25235, "decode.acc_seg": 73.84499, "aux.loss_seg": 0.12183, "aux.acc_seg": 72.48033, "loss": 0.37418, "time": 0.30145} +{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.25144, "decode.acc_seg": 72.58515, "aux.loss_seg": 0.12216, "aux.acc_seg": 71.27719, "loss": 0.3736, "time": 0.30404} +{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.25594, "decode.acc_seg": 73.58327, "aux.loss_seg": 0.12515, "aux.acc_seg": 72.18974, "loss": 0.38109, "time": 0.30111} +{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.2463, "decode.acc_seg": 72.18732, "aux.loss_seg": 0.1199, "aux.acc_seg": 70.81171, "loss": 0.36621, "time": 0.30162} +{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.24586, "decode.acc_seg": 72.11788, "aux.loss_seg": 0.11896, "aux.acc_seg": 70.82857, "loss": 0.36482, "time": 0.30204} +{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.23865, "decode.acc_seg": 72.87421, "aux.loss_seg": 0.11745, "aux.acc_seg": 71.51136, "loss": 0.3561, "time": 0.30205} +{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.24843, "decode.acc_seg": 72.16033, "aux.loss_seg": 0.12018, "aux.acc_seg": 70.93076, "loss": 0.36861, "time": 0.30083} +{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.23169, "decode.acc_seg": 72.75108, "aux.loss_seg": 0.11212, "aux.acc_seg": 71.53691, "loss": 0.34381, "time": 0.30127} +{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.23755, "decode.acc_seg": 72.77076, "aux.loss_seg": 0.11726, "aux.acc_seg": 71.4107, "loss": 0.35481, "time": 0.30198} +{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 36160, "data_time": 0.16856, "decode.loss_seg": 0.25862, "decode.acc_seg": 73.90226, "aux.loss_seg": 0.12353, "aux.acc_seg": 72.68781, "loss": 0.38215, "time": 0.46512} +{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.23283, "decode.acc_seg": 71.82712, "aux.loss_seg": 0.1147, "aux.acc_seg": 70.52941, "loss": 0.34753, "time": 0.30149} +{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.23241, "decode.acc_seg": 73.77872, "aux.loss_seg": 0.11367, "aux.acc_seg": 72.46099, "loss": 0.34608, "time": 0.30106} +{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.24688, "decode.acc_seg": 71.63829, "aux.loss_seg": 0.12062, "aux.acc_seg": 70.39879, "loss": 0.3675, "time": 0.30154} +{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.24022, "decode.acc_seg": 73.01022, "aux.loss_seg": 0.11705, "aux.acc_seg": 71.64335, "loss": 0.35727, "time": 0.30064} +{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.24161, "decode.acc_seg": 73.94236, "aux.loss_seg": 0.11912, "aux.acc_seg": 72.55564, "loss": 0.36072, "time": 0.30076} +{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.25875, "decode.acc_seg": 72.77938, "aux.loss_seg": 0.12328, "aux.acc_seg": 71.49857, "loss": 0.38203, "time": 0.30399} +{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.23725, "decode.acc_seg": 73.65766, "aux.loss_seg": 0.1165, "aux.acc_seg": 72.34812, "loss": 0.35375, "time": 0.30433} +{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.25146, "decode.acc_seg": 72.70583, "aux.loss_seg": 0.12308, "aux.acc_seg": 71.36494, "loss": 0.37454, "time": 0.30222} +{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.26442, "decode.acc_seg": 73.53463, "aux.loss_seg": 0.13043, "aux.acc_seg": 71.84756, "loss": 0.39485, "time": 0.30277} +{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.25512, "decode.acc_seg": 72.16315, "aux.loss_seg": 0.12293, "aux.acc_seg": 70.89476, "loss": 0.37806, "time": 0.30378} +{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.25291, "decode.acc_seg": 73.34825, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.99714, "loss": 0.37517, "time": 0.30227} +{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.2461, "decode.acc_seg": 72.94702, "aux.loss_seg": 0.11909, "aux.acc_seg": 71.62303, "loss": 0.36519, "time": 0.30229} +{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.2461, "decode.acc_seg": 71.47803, "aux.loss_seg": 0.1198, "aux.acc_seg": 70.22781, "loss": 0.3659, "time": 0.30047} +{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.25741, "decode.acc_seg": 72.90107, "aux.loss_seg": 0.12367, "aux.acc_seg": 71.49827, "loss": 0.38109, "time": 0.30321} +{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.25787, "decode.acc_seg": 73.14078, "aux.loss_seg": 0.12532, "aux.acc_seg": 71.69653, "loss": 0.3832, "time": 0.30154} +{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4696, "mAcc": 0.6046, "aAcc": 0.8169, "IoU.wall": 0.7564, "IoU.building": 0.8055, "IoU.sky": 0.9343, "IoU.floor": 0.8017, "IoU.tree": 0.7346, "IoU.ceiling": 0.8229, "IoU.road": 0.8136, "IoU.bed ": 0.868, "IoU.windowpane": 0.5871, "IoU.grass": 0.6634, "IoU.cabinet": 0.6008, "IoU.sidewalk": 0.6219, "IoU.person": 0.7666, "IoU.earth": 0.3352, "IoU.door": 0.4552, "IoU.table": 0.5574, "IoU.mountain": 0.5732, "IoU.plant": 0.5175, "IoU.curtain": 0.6997, "IoU.chair": 0.5528, "IoU.car": 0.8226, "IoU.water": 0.6219, "IoU.painting": 0.6948, "IoU.sofa": 0.5809, "IoU.shelf": 0.3939, "IoU.house": 0.4062, "IoU.sea": 0.5896, "IoU.mirror": 0.6132, "IoU.rug": 0.6543, "IoU.field": 0.3071, "IoU.armchair": 0.3915, "IoU.seat": 0.5896, "IoU.fence": 0.403, "IoU.desk": 0.4655, "IoU.rock": 0.4034, "IoU.wardrobe": 0.488, "IoU.lamp": 0.5822, "IoU.bathtub": 0.7153, "IoU.railing": 0.3595, "IoU.cushion": 0.5365, "IoU.base": 0.3221, "IoU.box": 0.2654, "IoU.column": 0.444, "IoU.signboard": 0.3598, "IoU.chest of drawers": 0.3788, "IoU.counter": 0.3174, "IoU.sand": 0.3885, "IoU.sink": 0.6825, "IoU.skyscraper": 0.6667, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7579, "IoU.grandstand": 0.4011, "IoU.path": 0.1886, "IoU.stairs": 0.2167, "IoU.runway": 0.6829, "IoU.case": 0.4488, "IoU.pool table": 0.899, "IoU.pillow": 0.5248, "IoU.screen door": 0.6404, "IoU.stairway": 0.2618, "IoU.river": 0.1202, "IoU.bridge": 0.629, "IoU.bookcase": 0.3867, "IoU.blind": NaN, "IoU.coffee table": 0.5107, "IoU.toilet": 0.8078, "IoU.flower": 0.4246, "IoU.book": 0.4177, "IoU.hill": 0.1181, "IoU.bench": 0.4106, "IoU.countertop": 0.4914, "IoU.stove": 0.6936, "IoU.palm": 0.481, "IoU.kitchen island": 0.3393, "IoU.computer": 0.6645, "IoU.swivel chair": 0.4488, "IoU.boat": 0.5413, "IoU.bar": 0.2899, "IoU.arcade machine": 0.7788, "IoU.hovel": 0.3232, "IoU.bus": 0.8757, "IoU.towel": 0.6376, "IoU.light": 0.5343, "IoU.truck": 0.2282, "IoU.tower": 0.0559, "IoU.chandelier": 0.6101, "IoU.awning": 0.2918, "IoU.streetlight": 0.2101, "IoU.booth": 0.5425, "IoU.television receiver": NaN, "IoU.airplane": 0.6019, "IoU.dirt track": 0.0834, "IoU.apparel": 0.3491, "IoU.pole": 0.1741, "IoU.land": 0.0386, "IoU.bannister": 0.0824, "IoU.escalator": 0.5664, "IoU.ottoman": 0.389, "IoU.bottle": NaN, "IoU.buffet": 0.4817, "IoU.poster": 0.2441, "IoU.stage": 0.194, "IoU.van": 0.3831, "IoU.ship": 0.6873, "IoU.fountain": 0.209, "IoU.conveyer belt": 0.7041, "IoU.canopy": 0.2577, "IoU.washer": 0.6843, "IoU.plaything": 0.1802, "IoU.swimming pool": 0.5553, "IoU.stool": 0.3888, "IoU.barrel": 0.3227, "IoU.basket": 0.3223, "IoU.waterfall": 0.5498, "IoU.tent": 0.7645, "IoU.bag": 0.1001, "IoU.minibike": 0.7032, "IoU.cradle": NaN, "IoU.oven": 0.2689, "IoU.ball": 0.4347, "IoU.food": 0.4399, "IoU.step": 0.1013, "IoU.tank": 0.522, "IoU.trade name": 0.2273, "IoU.microwave": 0.5292, "IoU.pot": 0.4814, "IoU.animal": NaN, "IoU.bicycle": 0.5406, "IoU.lake": 0.5441, "IoU.dishwasher": 0.4941, "IoU.screen": 0.686, "IoU.blanket": 0.1509, "IoU.sculpture": 0.6837, "IoU.hood": 0.5113, "IoU.sconce": 0.4234, "IoU.vase": 0.3115, "IoU.traffic light": 0.2639, "IoU.tray": 0.0535, "IoU.ashcan": 0.3714, "IoU.fan": 0.5621, "IoU.pier": 0.3083, "IoU.crt screen": 0.0021, "IoU.plate": 0.5647, "IoU.monitor": 0.1562, "IoU.bulletin board": 0.4885, "IoU.shower": 0.0028, "IoU.radiator": 0.5965, "IoU.glass": 0.1098, "IoU.clock": 0.3913, "IoU.flag": 0.5822, "Acc.wall": 0.8641, "Acc.building": 0.9121, "Acc.sky": 0.9678, "Acc.floor": 0.8948, "Acc.tree": 0.8524, "Acc.ceiling": 0.9124, "Acc.road": 0.8952, "Acc.bed ": 0.9477, "Acc.windowpane": 0.7791, "Acc.grass": 0.7589, "Acc.cabinet": 0.7472, "Acc.sidewalk": 0.7834, "Acc.person": 0.8864, "Acc.earth": 0.428, "Acc.door": 0.6007, "Acc.table": 0.7184, "Acc.mountain": 0.7369, "Acc.plant": 0.6357, "Acc.curtain": 0.8282, "Acc.chair": 0.7357, "Acc.car": 0.9108, "Acc.water": 0.8198, "Acc.painting": 0.8584, "Acc.sofa": 0.7491, "Acc.shelf": 0.5397, "Acc.house": 0.6279, "Acc.sea": 0.6755, "Acc.mirror": 0.7018, "Acc.rug": 0.7552, "Acc.field": 0.6296, "Acc.armchair": 0.5625, "Acc.seat": 0.7963, "Acc.fence": 0.562, "Acc.desk": 0.6359, "Acc.rock": 0.6439, "Acc.wardrobe": 0.6013, "Acc.lamp": 0.7147, "Acc.bathtub": 0.7761, "Acc.railing": 0.495, "Acc.cushion": 0.6604, "Acc.base": 0.4583, "Acc.box": 0.3363, "Acc.column": 0.5787, "Acc.signboard": 0.5221, "Acc.chest of drawers": 0.546, "Acc.counter": 0.3727, "Acc.sand": 0.7817, "Acc.sink": 0.7964, "Acc.skyscraper": 0.8474, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8941, "Acc.grandstand": 0.5815, "Acc.path": 0.2485, "Acc.stairs": 0.3054, "Acc.runway": 0.9642, "Acc.case": 0.6017, "Acc.pool table": 0.9651, "Acc.pillow": 0.642, "Acc.screen door": 0.77, "Acc.stairway": 0.3675, "Acc.river": 0.2122, "Acc.bridge": 0.7428, "Acc.bookcase": 0.4749, "Acc.blind": NaN, "Acc.coffee table": 0.8272, "Acc.toilet": 0.8792, "Acc.flower": 0.59, "Acc.book": 0.6521, "Acc.hill": 0.238, "Acc.bench": 0.4848, "Acc.countertop": 0.6315, "Acc.stove": 0.8066, "Acc.palm": 0.7646, "Acc.kitchen island": 0.6424, "Acc.computer": 0.7925, "Acc.swivel chair": 0.6738, "Acc.boat": 0.6859, "Acc.bar": 0.3678, "Acc.arcade machine": 0.9054, "Acc.hovel": 0.3663, "Acc.bus": 0.9525, "Acc.towel": 0.7904, "Acc.light": 0.6806, "Acc.truck": 0.3723, "Acc.tower": 0.1012, "Acc.chandelier": 0.8647, "Acc.awning": 0.3838, "Acc.streetlight": 0.2746, "Acc.booth": 0.64, "Acc.television receiver": NaN, "Acc.airplane": 0.7278, "Acc.dirt track": 0.3244, "Acc.apparel": 0.6228, "Acc.pole": 0.2252, "Acc.land": 0.0764, "Acc.bannister": 0.1049, "Acc.escalator": 0.7952, "Acc.ottoman": 0.4832, "Acc.bottle": NaN, "Acc.buffet": 0.5609, "Acc.poster": 0.3826, "Acc.stage": 0.2916, "Acc.van": 0.5004, "Acc.ship": 0.9723, "Acc.fountain": 0.2143, "Acc.conveyer belt": 0.9337, "Acc.canopy": 0.4167, "Acc.washer": 0.7796, "Acc.plaything": 0.3415, "Acc.swimming pool": 0.879, "Acc.stool": 0.5341, "Acc.barrel": 0.643, "Acc.basket": 0.419, "Acc.waterfall": 0.5924, "Acc.tent": 0.9784, "Acc.bag": 0.1203, "Acc.minibike": 0.8462, "Acc.cradle": NaN, "Acc.oven": 0.6851, "Acc.ball": 0.4658, "Acc.food": 0.507, "Acc.step": 0.1352, "Acc.tank": 0.6303, "Acc.trade name": 0.249, "Acc.microwave": 0.603, "Acc.pot": 0.536, "Acc.animal": NaN, "Acc.bicycle": 0.7756, "Acc.lake": 0.6213, "Acc.dishwasher": 0.5862, "Acc.screen": 0.8922, "Acc.blanket": 0.1959, "Acc.sculpture": 0.8256, "Acc.hood": 0.6604, "Acc.sconce": 0.5328, "Acc.vase": 0.447, "Acc.traffic light": 0.3978, "Acc.tray": 0.0984, "Acc.ashcan": 0.4691, "Acc.fan": 0.8122, "Acc.pier": 0.5982, "Acc.crt screen": 0.0062, "Acc.plate": 0.7369, "Acc.monitor": 0.1963, "Acc.bulletin board": 0.6517, "Acc.shower": 0.0043, "Acc.radiator": 0.7323, "Acc.glass": 0.114, "Acc.clock": 0.4872, "Acc.flag": 0.6645} +{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 36160, "data_time": 1.28285, "decode.loss_seg": 0.23984, "decode.acc_seg": 72.15161, "aux.loss_seg": 0.11866, "aux.acc_seg": 70.73601, "loss": 0.35851, "time": 1.57953} +{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.2388, "decode.acc_seg": 72.82016, "aux.loss_seg": 0.11843, "aux.acc_seg": 71.32265, "loss": 0.35724, "time": 0.29936} +{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.24741, "decode.acc_seg": 72.09645, "aux.loss_seg": 0.12097, "aux.acc_seg": 70.62094, "loss": 0.36838, "time": 0.2999} +{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.23904, "decode.acc_seg": 71.99635, "aux.loss_seg": 0.11597, "aux.acc_seg": 70.69495, "loss": 0.35501, "time": 0.30098} +{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 36160, "data_time": 0.0043, "decode.loss_seg": 0.24642, "decode.acc_seg": 73.58992, "aux.loss_seg": 0.11959, "aux.acc_seg": 72.26312, "loss": 0.36601, "time": 0.29965} +{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.23806, "decode.acc_seg": 71.51474, "aux.loss_seg": 0.11573, "aux.acc_seg": 70.22024, "loss": 0.35379, "time": 0.30036} +{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.24509, "decode.acc_seg": 73.58017, "aux.loss_seg": 0.11946, "aux.acc_seg": 72.33725, "loss": 0.36454, "time": 0.30061} +{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.22926, "decode.acc_seg": 72.59622, "aux.loss_seg": 0.11608, "aux.acc_seg": 71.01931, "loss": 0.34534, "time": 0.30096} +{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 36160, "data_time": 0.16863, "decode.loss_seg": 0.22908, "decode.acc_seg": 72.76773, "aux.loss_seg": 0.11185, "aux.acc_seg": 71.43422, "loss": 0.34092, "time": 0.46362} +{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.24955, "decode.acc_seg": 74.19002, "aux.loss_seg": 0.122, "aux.acc_seg": 72.71659, "loss": 0.37154, "time": 0.29828} +{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.24249, "decode.acc_seg": 73.84045, "aux.loss_seg": 0.12031, "aux.acc_seg": 72.42851, "loss": 0.36279, "time": 0.2982} +{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.23493, "decode.acc_seg": 73.40857, "aux.loss_seg": 0.11479, "aux.acc_seg": 72.01187, "loss": 0.34972, "time": 0.29922} +{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 36160, "data_time": 0.00441, "decode.loss_seg": 0.23099, "decode.acc_seg": 73.50551, "aux.loss_seg": 0.11515, "aux.acc_seg": 72.00491, "loss": 0.34615, "time": 0.30178} +{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.22704, "decode.acc_seg": 74.08705, "aux.loss_seg": 0.11103, "aux.acc_seg": 72.9281, "loss": 0.33807, "time": 0.30172} +{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.23973, "decode.acc_seg": 74.34218, "aux.loss_seg": 0.11676, "aux.acc_seg": 72.94242, "loss": 0.35649, "time": 0.30106} +{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.2379, "decode.acc_seg": 72.92294, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.70383, "loss": 0.35175, "time": 0.30013} +{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.24895, "decode.acc_seg": 73.68428, "aux.loss_seg": 0.12419, "aux.acc_seg": 72.14688, "loss": 0.37313, "time": 0.30181} +{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 36160, "data_time": 0.00438, "decode.loss_seg": 0.2428, "decode.acc_seg": 71.65875, "aux.loss_seg": 0.11793, "aux.acc_seg": 70.40725, "loss": 0.36073, "time": 0.30122} +{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 36160, "data_time": 0.00435, "decode.loss_seg": 0.23875, "decode.acc_seg": 73.04497, "aux.loss_seg": 0.11807, "aux.acc_seg": 71.50127, "loss": 0.35682, "time": 0.30032} +{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.25066, "decode.acc_seg": 73.76963, "aux.loss_seg": 0.12053, "aux.acc_seg": 72.5788, "loss": 0.3712, "time": 0.29986} +{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 36160, "data_time": 0.0042, "decode.loss_seg": 0.23538, "decode.acc_seg": 73.83921, "aux.loss_seg": 0.11516, "aux.acc_seg": 72.39993, "loss": 0.35054, "time": 0.30158} +{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 36160, "data_time": 0.00431, "decode.loss_seg": 0.23592, "decode.acc_seg": 73.54592, "aux.loss_seg": 0.11555, "aux.acc_seg": 72.24684, "loss": 0.35146, "time": 0.3001} +{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 36160, "data_time": 0.0044, "decode.loss_seg": 0.2522, "decode.acc_seg": 73.16142, "aux.loss_seg": 0.12246, "aux.acc_seg": 71.77043, "loss": 0.37465, "time": 0.30155} +{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.24523, "decode.acc_seg": 72.22693, "aux.loss_seg": 0.12261, "aux.acc_seg": 70.59039, "loss": 0.36784, "time": 0.30173} +{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.23467, "decode.acc_seg": 72.21368, "aux.loss_seg": 0.11401, "aux.acc_seg": 70.88696, "loss": 0.34868, "time": 0.30078} +{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.23232, "decode.acc_seg": 72.78526, "aux.loss_seg": 0.1149, "aux.acc_seg": 71.35539, "loss": 0.34722, "time": 0.30282} +{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.23076, "decode.acc_seg": 72.1556, "aux.loss_seg": 0.11342, "aux.acc_seg": 70.80809, "loss": 0.34418, "time": 0.30036} +{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 36160, "data_time": 0.00438, "decode.loss_seg": 0.24341, "decode.acc_seg": 73.21533, "aux.loss_seg": 0.11959, "aux.acc_seg": 71.7479, "loss": 0.363, "time": 0.30172} +{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.23334, "decode.acc_seg": 72.84669, "aux.loss_seg": 0.11386, "aux.acc_seg": 71.63965, "loss": 0.3472, "time": 0.30004} +{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.24722, "decode.acc_seg": 72.30404, "aux.loss_seg": 0.12024, "aux.acc_seg": 70.98784, "loss": 0.36747, "time": 0.30156} +{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.21962, "decode.acc_seg": 73.40931, "aux.loss_seg": 0.10745, "aux.acc_seg": 72.12643, "loss": 0.32707, "time": 0.29988} +{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.23859, "decode.acc_seg": 73.4067, "aux.loss_seg": 0.11643, "aux.acc_seg": 71.93444, "loss": 0.35502, "time": 0.30128} +{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 36160, "data_time": 0.0044, "decode.loss_seg": 0.2461, "decode.acc_seg": 73.50613, "aux.loss_seg": 0.11994, "aux.acc_seg": 72.06091, "loss": 0.36604, "time": 0.30142} +{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 36160, "data_time": 0.17521, "decode.loss_seg": 0.2214, "decode.acc_seg": 73.22507, "aux.loss_seg": 0.10676, "aux.acc_seg": 72.0676, "loss": 0.32816, "time": 0.47075} +{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.2366, "decode.acc_seg": 71.00988, "aux.loss_seg": 0.11451, "aux.acc_seg": 69.749, "loss": 0.35111, "time": 0.30002} +{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.23096, "decode.acc_seg": 73.54786, "aux.loss_seg": 0.11299, "aux.acc_seg": 72.2579, "loss": 0.34395, "time": 0.30017} +{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.23479, "decode.acc_seg": 73.39919, "aux.loss_seg": 0.11625, "aux.acc_seg": 71.97566, "loss": 0.35104, "time": 0.30074} +{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.24565, "decode.acc_seg": 73.4108, "aux.loss_seg": 0.11801, "aux.acc_seg": 72.15354, "loss": 0.36367, "time": 0.30124} +{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.23797, "decode.acc_seg": 72.13315, "aux.loss_seg": 0.1168, "aux.acc_seg": 70.78061, "loss": 0.35477, "time": 0.30292} +{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.2366, "decode.acc_seg": 73.36733, "aux.loss_seg": 0.1182, "aux.acc_seg": 71.88046, "loss": 0.3548, "time": 0.30374} +{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.24042, "decode.acc_seg": 74.12931, "aux.loss_seg": 0.11888, "aux.acc_seg": 72.66784, "loss": 0.3593, "time": 0.3032} +{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.24893, "decode.acc_seg": 71.82651, "aux.loss_seg": 0.11958, "aux.acc_seg": 70.53108, "loss": 0.36851, "time": 0.3028} +{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.24215, "decode.acc_seg": 72.56301, "aux.loss_seg": 0.12091, "aux.acc_seg": 70.98883, "loss": 0.36306, "time": 0.30154} +{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.23997, "decode.acc_seg": 72.87777, "aux.loss_seg": 0.11544, "aux.acc_seg": 71.52658, "loss": 0.35541, "time": 0.30125} +{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.23174, "decode.acc_seg": 73.77165, "aux.loss_seg": 0.11393, "aux.acc_seg": 72.46896, "loss": 0.34567, "time": 0.30105} +{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.2322, "decode.acc_seg": 74.76836, "aux.loss_seg": 0.11338, "aux.acc_seg": 73.6028, "loss": 0.34558, "time": 0.30158} +{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.2372, "decode.acc_seg": 71.25105, "aux.loss_seg": 0.11423, "aux.acc_seg": 70.00935, "loss": 0.35143, "time": 0.30401} +{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.22974, "decode.acc_seg": 73.06797, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.7634, "loss": 0.34102, "time": 0.3029} +{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.23827, "decode.acc_seg": 73.08846, "aux.loss_seg": 0.1158, "aux.acc_seg": 71.76111, "loss": 0.35407, "time": 0.30315} +{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.23566, "decode.acc_seg": 73.40411, "aux.loss_seg": 0.11573, "aux.acc_seg": 71.91231, "loss": 0.35139, "time": 0.30314} +{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.22885, "decode.acc_seg": 73.72688, "aux.loss_seg": 0.11325, "aux.acc_seg": 72.41671, "loss": 0.3421, "time": 0.30406} +{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.2222, "decode.acc_seg": 74.44919, "aux.loss_seg": 0.10853, "aux.acc_seg": 73.25585, "loss": 0.33074, "time": 0.30472} +{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.23981, "decode.acc_seg": 72.46041, "aux.loss_seg": 0.11647, "aux.acc_seg": 71.25686, "loss": 0.35628, "time": 0.30259} +{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.23229, "decode.acc_seg": 72.40643, "aux.loss_seg": 0.11285, "aux.acc_seg": 71.10826, "loss": 0.34514, "time": 0.30445} +{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.22705, "decode.acc_seg": 73.67748, "aux.loss_seg": 0.11116, "aux.acc_seg": 72.42146, "loss": 0.33821, "time": 0.30284} +{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.24379, "decode.acc_seg": 72.80188, "aux.loss_seg": 0.11881, "aux.acc_seg": 71.43086, "loss": 0.36261, "time": 0.30181} +{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.23324, "decode.acc_seg": 72.24505, "aux.loss_seg": 0.11353, "aux.acc_seg": 70.91877, "loss": 0.34676, "time": 0.30163} +{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.24116, "decode.acc_seg": 74.25955, "aux.loss_seg": 0.1174, "aux.acc_seg": 73.0009, "loss": 0.35856, "time": 0.30188} +{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 36160, "data_time": 0.17, "decode.loss_seg": 0.25336, "decode.acc_seg": 71.62629, "aux.loss_seg": 0.12297, "aux.acc_seg": 70.18961, "loss": 0.37633, "time": 0.47913} +{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.22983, "decode.acc_seg": 72.78627, "aux.loss_seg": 0.11437, "aux.acc_seg": 71.15574, "loss": 0.34419, "time": 0.30007} +{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.2255, "decode.acc_seg": 73.71956, "aux.loss_seg": 0.11271, "aux.acc_seg": 72.27169, "loss": 0.3382, "time": 0.29904} +{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.25422, "decode.acc_seg": 72.33887, "aux.loss_seg": 0.12507, "aux.acc_seg": 70.89429, "loss": 0.37929, "time": 0.29939} +{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.22443, "decode.acc_seg": 72.66222, "aux.loss_seg": 0.1116, "aux.acc_seg": 71.31786, "loss": 0.33603, "time": 0.29878} +{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.23902, "decode.acc_seg": 72.25846, "aux.loss_seg": 0.11583, "aux.acc_seg": 70.93905, "loss": 0.35485, "time": 0.2998} +{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 36160, "data_time": 0.00456, "decode.loss_seg": 0.23589, "decode.acc_seg": 73.19279, "aux.loss_seg": 0.115, "aux.acc_seg": 71.80302, "loss": 0.35089, "time": 0.29993} +{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.23626, "decode.acc_seg": 72.39888, "aux.loss_seg": 0.11613, "aux.acc_seg": 71.01762, "loss": 0.35239, "time": 0.30206} +{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.23253, "decode.acc_seg": 74.08929, "aux.loss_seg": 0.11381, "aux.acc_seg": 72.68652, "loss": 0.34634, "time": 0.30224} +{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.24334, "decode.acc_seg": 72.90319, "aux.loss_seg": 0.11803, "aux.acc_seg": 71.53156, "loss": 0.36137, "time": 0.30189} +{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.23016, "decode.acc_seg": 73.86176, "aux.loss_seg": 0.11472, "aux.acc_seg": 72.44817, "loss": 0.34488, "time": 0.30312} +{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.21864, "decode.acc_seg": 72.9639, "aux.loss_seg": 0.10929, "aux.acc_seg": 71.6048, "loss": 0.32792, "time": 0.30138} +{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 36160, "data_time": 0.00437, "decode.loss_seg": 0.23867, "decode.acc_seg": 74.15737, "aux.loss_seg": 0.1166, "aux.acc_seg": 72.89165, "loss": 0.35526, "time": 0.29942} +{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 36160, "data_time": 0.00419, "decode.loss_seg": 0.23282, "decode.acc_seg": 74.08305, "aux.loss_seg": 0.11257, "aux.acc_seg": 72.90049, "loss": 0.34539, "time": 0.29965} +{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 36160, "data_time": 0.0044, "decode.loss_seg": 0.23367, "decode.acc_seg": 72.76734, "aux.loss_seg": 0.11255, "aux.acc_seg": 71.60085, "loss": 0.34622, "time": 0.30185} +{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.22429, "decode.acc_seg": 71.3968, "aux.loss_seg": 0.10931, "aux.acc_seg": 70.15007, "loss": 0.3336, "time": 0.3027} +{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 36160, "data_time": 0.00448, "decode.loss_seg": 0.22884, "decode.acc_seg": 72.741, "aux.loss_seg": 0.11307, "aux.acc_seg": 71.43738, "loss": 0.34191, "time": 0.30427} +{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.2335, "decode.acc_seg": 74.09174, "aux.loss_seg": 0.11242, "aux.acc_seg": 73.03178, "loss": 0.34592, "time": 0.30246} +{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.24987, "decode.acc_seg": 73.6526, "aux.loss_seg": 0.12152, "aux.acc_seg": 72.32358, "loss": 0.3714, "time": 0.30213} +{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.2327, "decode.acc_seg": 73.60582, "aux.loss_seg": 0.11446, "aux.acc_seg": 72.15985, "loss": 0.34716, "time": 0.30155} +{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.23005, "decode.acc_seg": 72.96756, "aux.loss_seg": 0.1142, "aux.acc_seg": 71.5463, "loss": 0.34425, "time": 0.3028} +{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.2342, "decode.acc_seg": 72.43243, "aux.loss_seg": 0.1143, "aux.acc_seg": 71.12646, "loss": 0.3485, "time": 0.304} +{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.23307, "decode.acc_seg": 73.08594, "aux.loss_seg": 0.11407, "aux.acc_seg": 71.8157, "loss": 0.34714, "time": 0.30248} +{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.22198, "decode.acc_seg": 73.75612, "aux.loss_seg": 0.10781, "aux.acc_seg": 72.56624, "loss": 0.32979, "time": 0.29952} +{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.23027, "decode.acc_seg": 73.37711, "aux.loss_seg": 0.11347, "aux.acc_seg": 71.95999, "loss": 0.34374, "time": 0.30046} +{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.23341, "decode.acc_seg": 72.78575, "aux.loss_seg": 0.11531, "aux.acc_seg": 71.45748, "loss": 0.34872, "time": 0.30256} +{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 36160, "data_time": 0.18745, "decode.loss_seg": 0.23924, "decode.acc_seg": 71.91877, "aux.loss_seg": 0.11936, "aux.acc_seg": 70.37101, "loss": 0.3586, "time": 0.48437} +{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.2248, "decode.acc_seg": 72.44531, "aux.loss_seg": 0.11016, "aux.acc_seg": 71.14147, "loss": 0.33497, "time": 0.30097} +{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.23326, "decode.acc_seg": 74.38774, "aux.loss_seg": 0.11772, "aux.acc_seg": 72.92494, "loss": 0.35098, "time": 0.30066} +{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.22845, "decode.acc_seg": 74.32566, "aux.loss_seg": 0.11315, "aux.acc_seg": 72.7706, "loss": 0.3416, "time": 0.30121} +{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.21925, "decode.acc_seg": 72.29285, "aux.loss_seg": 0.10785, "aux.acc_seg": 71.15684, "loss": 0.3271, "time": 0.30084} +{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.2363, "decode.acc_seg": 73.28178, "aux.loss_seg": 0.11555, "aux.acc_seg": 71.88365, "loss": 0.35185, "time": 0.29997} +{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.22548, "decode.acc_seg": 73.26632, "aux.loss_seg": 0.1112, "aux.acc_seg": 71.8873, "loss": 0.33668, "time": 0.30106} +{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.22997, "decode.acc_seg": 72.52403, "aux.loss_seg": 0.11415, "aux.acc_seg": 71.02527, "loss": 0.34412, "time": 0.3023} +{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.23853, "decode.acc_seg": 74.24492, "aux.loss_seg": 0.1162, "aux.acc_seg": 72.841, "loss": 0.35473, "time": 0.30056} +{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.22104, "decode.acc_seg": 73.62112, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.51006, "loss": 0.32857, "time": 0.30085} +{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22433, "decode.acc_seg": 73.94988, "aux.loss_seg": 0.109, "aux.acc_seg": 72.68522, "loss": 0.33333, "time": 0.30061} +{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.21495, "decode.acc_seg": 73.59833, "aux.loss_seg": 0.10567, "aux.acc_seg": 72.29666, "loss": 0.32062, "time": 0.30096} +{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.2329, "decode.acc_seg": 74.21021, "aux.loss_seg": 0.11408, "aux.acc_seg": 72.88065, "loss": 0.34699, "time": 0.30176} +{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.22809, "decode.acc_seg": 72.9115, "aux.loss_seg": 0.11161, "aux.acc_seg": 71.64293, "loss": 0.3397, "time": 0.30233} +{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.24119, "decode.acc_seg": 74.5768, "aux.loss_seg": 0.11767, "aux.acc_seg": 73.32307, "loss": 0.35887, "time": 0.30104} +{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.22819, "decode.acc_seg": 74.47716, "aux.loss_seg": 0.11363, "aux.acc_seg": 73.21906, "loss": 0.34182, "time": 0.30157} +{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.23502, "decode.acc_seg": 71.40332, "aux.loss_seg": 0.1164, "aux.acc_seg": 69.94505, "loss": 0.35141, "time": 0.30227} +{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.22456, "decode.acc_seg": 73.58959, "aux.loss_seg": 0.11219, "aux.acc_seg": 72.15055, "loss": 0.33675, "time": 0.3016} +{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.24224, "decode.acc_seg": 74.52953, "aux.loss_seg": 0.11573, "aux.acc_seg": 73.14346, "loss": 0.35797, "time": 0.299} +{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.22046, "decode.acc_seg": 72.42027, "aux.loss_seg": 0.10841, "aux.acc_seg": 71.12308, "loss": 0.32887, "time": 0.2995} +{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.22779, "decode.acc_seg": 72.86088, "aux.loss_seg": 0.11387, "aux.acc_seg": 71.35053, "loss": 0.34166, "time": 0.29911} +{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22809, "decode.acc_seg": 72.82831, "aux.loss_seg": 0.11146, "aux.acc_seg": 71.53797, "loss": 0.33955, "time": 0.3003} +{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.23861, "decode.acc_seg": 73.74627, "aux.loss_seg": 0.11732, "aux.acc_seg": 72.40409, "loss": 0.35593, "time": 0.2997} +{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.23778, "decode.acc_seg": 73.2894, "aux.loss_seg": 0.11572, "aux.acc_seg": 72.0013, "loss": 0.3535, "time": 0.30172} +{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.23349, "decode.acc_seg": 72.86673, "aux.loss_seg": 0.11283, "aux.acc_seg": 71.7583, "loss": 0.34632, "time": 0.30285} +{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 36160, "data_time": 0.1691, "decode.loss_seg": 0.24367, "decode.acc_seg": 73.01019, "aux.loss_seg": 0.11691, "aux.acc_seg": 71.74426, "loss": 0.36058, "time": 0.46435} +{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.21404, "decode.acc_seg": 73.01806, "aux.loss_seg": 0.10554, "aux.acc_seg": 71.84015, "loss": 0.31958, "time": 0.29924} +{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.21932, "decode.acc_seg": 74.42154, "aux.loss_seg": 0.10921, "aux.acc_seg": 73.0757, "loss": 0.32853, "time": 0.29831} +{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.23326, "decode.acc_seg": 73.61435, "aux.loss_seg": 0.11432, "aux.acc_seg": 72.25087, "loss": 0.34758, "time": 0.29895} +{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.22836, "decode.acc_seg": 73.80087, "aux.loss_seg": 0.11034, "aux.acc_seg": 72.49411, "loss": 0.3387, "time": 0.29968} +{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.24624, "decode.acc_seg": 72.76761, "aux.loss_seg": 0.1216, "aux.acc_seg": 71.30028, "loss": 0.36783, "time": 0.30041} +{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.2391, "decode.acc_seg": 72.5177, "aux.loss_seg": 0.11787, "aux.acc_seg": 71.09848, "loss": 0.35697, "time": 0.3019} +{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.24308, "decode.acc_seg": 72.34499, "aux.loss_seg": 0.11661, "aux.acc_seg": 71.0357, "loss": 0.35968, "time": 0.3022} +{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.23324, "decode.acc_seg": 73.5048, "aux.loss_seg": 0.11425, "aux.acc_seg": 72.24126, "loss": 0.34749, "time": 0.30142} +{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.22056, "decode.acc_seg": 73.48162, "aux.loss_seg": 0.11021, "aux.acc_seg": 72.02136, "loss": 0.33077, "time": 0.30265} +{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.23317, "decode.acc_seg": 72.15518, "aux.loss_seg": 0.11342, "aux.acc_seg": 70.98664, "loss": 0.34659, "time": 0.3026} +{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.25896, "decode.acc_seg": 71.77984, "aux.loss_seg": 0.124, "aux.acc_seg": 70.47452, "loss": 0.38295, "time": 0.30262} +{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.24262, "decode.acc_seg": 73.04149, "aux.loss_seg": 0.11804, "aux.acc_seg": 71.67944, "loss": 0.36066, "time": 0.30117} +{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.24118, "decode.acc_seg": 72.99356, "aux.loss_seg": 0.11686, "aux.acc_seg": 71.6609, "loss": 0.35804, "time": 0.30022} +{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.23114, "decode.acc_seg": 73.86694, "aux.loss_seg": 0.11391, "aux.acc_seg": 72.43156, "loss": 0.34505, "time": 0.30069} +{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.23892, "decode.acc_seg": 75.30035, "aux.loss_seg": 0.11623, "aux.acc_seg": 73.80224, "loss": 0.35516, "time": 0.30172} +{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.22779, "decode.acc_seg": 74.53738, "aux.loss_seg": 0.11137, "aux.acc_seg": 73.13871, "loss": 0.33917, "time": 0.30242} +{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.23816, "decode.acc_seg": 73.82119, "aux.loss_seg": 0.11352, "aux.acc_seg": 72.60334, "loss": 0.35169, "time": 0.30159} +{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.23289, "decode.acc_seg": 73.44823, "aux.loss_seg": 0.11366, "aux.acc_seg": 72.17466, "loss": 0.34655, "time": 0.29955} +{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.24928, "decode.acc_seg": 73.40954, "aux.loss_seg": 0.12028, "aux.acc_seg": 72.11847, "loss": 0.36957, "time": 0.30065} +{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.23417, "decode.acc_seg": 73.90895, "aux.loss_seg": 0.11363, "aux.acc_seg": 72.53465, "loss": 0.3478, "time": 0.30277} +{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.23356, "decode.acc_seg": 72.57649, "aux.loss_seg": 0.11442, "aux.acc_seg": 71.15376, "loss": 0.34798, "time": 0.30458} +{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.22985, "decode.acc_seg": 73.36661, "aux.loss_seg": 0.11196, "aux.acc_seg": 72.12163, "loss": 0.34181, "time": 0.30124} +{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.2255, "decode.acc_seg": 72.50594, "aux.loss_seg": 0.11179, "aux.acc_seg": 71.10979, "loss": 0.33728, "time": 0.30083} +{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.23283, "decode.acc_seg": 72.75562, "aux.loss_seg": 0.11326, "aux.acc_seg": 71.43659, "loss": 0.34609, "time": 0.30094} +{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 36160, "data_time": 0.18452, "decode.loss_seg": 0.23656, "decode.acc_seg": 72.99189, "aux.loss_seg": 0.11537, "aux.acc_seg": 71.72799, "loss": 0.35193, "time": 0.4792} +{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.23091, "decode.acc_seg": 74.27893, "aux.loss_seg": 0.11451, "aux.acc_seg": 72.90604, "loss": 0.34542, "time": 0.3008} +{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.22498, "decode.acc_seg": 73.49889, "aux.loss_seg": 0.11277, "aux.acc_seg": 72.16221, "loss": 0.33774, "time": 0.29946} +{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.2314, "decode.acc_seg": 73.8475, "aux.loss_seg": 0.11529, "aux.acc_seg": 72.49837, "loss": 0.34669, "time": 0.2991} +{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.22178, "decode.acc_seg": 73.51336, "aux.loss_seg": 0.10851, "aux.acc_seg": 72.21569, "loss": 0.33029, "time": 0.29931} +{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.22686, "decode.acc_seg": 74.67699, "aux.loss_seg": 0.11123, "aux.acc_seg": 73.36644, "loss": 0.33809, "time": 0.29934} +{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.23391, "decode.acc_seg": 73.8303, "aux.loss_seg": 0.115, "aux.acc_seg": 72.4695, "loss": 0.34891, "time": 0.3036} +{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.22321, "decode.acc_seg": 73.45485, "aux.loss_seg": 0.10982, "aux.acc_seg": 72.23174, "loss": 0.33303, "time": 0.30288} +{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.22598, "decode.acc_seg": 73.89682, "aux.loss_seg": 0.11122, "aux.acc_seg": 72.59506, "loss": 0.3372, "time": 0.30178} +{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.22281, "decode.acc_seg": 73.8938, "aux.loss_seg": 0.11033, "aux.acc_seg": 72.58427, "loss": 0.33314, "time": 0.30409} +{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.21903, "decode.acc_seg": 75.70518, "aux.loss_seg": 0.10804, "aux.acc_seg": 74.40194, "loss": 0.32706, "time": 0.30188} +{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.22821, "decode.acc_seg": 73.27107, "aux.loss_seg": 0.11245, "aux.acc_seg": 71.86656, "loss": 0.34066, "time": 0.30166} +{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.23387, "decode.acc_seg": 72.1583, "aux.loss_seg": 0.11578, "aux.acc_seg": 70.74486, "loss": 0.34965, "time": 0.30049} +{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.21748, "decode.acc_seg": 73.29036, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.01218, "loss": 0.32501, "time": 0.30047} +{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.22804, "decode.acc_seg": 73.20717, "aux.loss_seg": 0.11291, "aux.acc_seg": 71.78371, "loss": 0.34095, "time": 0.29953} +{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.227, "decode.acc_seg": 73.4085, "aux.loss_seg": 0.11221, "aux.acc_seg": 72.0757, "loss": 0.33922, "time": 0.29998} +{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.22909, "decode.acc_seg": 73.04592, "aux.loss_seg": 0.11263, "aux.acc_seg": 71.64099, "loss": 0.34172, "time": 0.3011} +{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.20421, "decode.acc_seg": 72.83581, "aux.loss_seg": 0.10164, "aux.acc_seg": 71.52765, "loss": 0.30585, "time": 0.2999} +{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.22845, "decode.acc_seg": 72.57106, "aux.loss_seg": 0.11181, "aux.acc_seg": 71.25533, "loss": 0.34026, "time": 0.30001} +{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.20821, "decode.acc_seg": 72.02973, "aux.loss_seg": 0.10367, "aux.acc_seg": 70.74939, "loss": 0.31188, "time": 0.30033} +{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.22675, "decode.acc_seg": 74.14438, "aux.loss_seg": 0.11262, "aux.acc_seg": 72.80562, "loss": 0.33937, "time": 0.30222} +{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.23054, "decode.acc_seg": 73.83179, "aux.loss_seg": 0.11396, "aux.acc_seg": 72.47892, "loss": 0.3445, "time": 0.30085} +{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.2379, "decode.acc_seg": 72.75377, "aux.loss_seg": 0.11691, "aux.acc_seg": 71.4067, "loss": 0.35481, "time": 0.30147} +{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.222, "decode.acc_seg": 73.10587, "aux.loss_seg": 0.11012, "aux.acc_seg": 71.67901, "loss": 0.33212, "time": 0.30083} +{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.23954, "decode.acc_seg": 72.51023, "aux.loss_seg": 0.11677, "aux.acc_seg": 71.21704, "loss": 0.35631, "time": 0.30209} +{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 36160, "data_time": 0.17375, "decode.loss_seg": 0.23125, "decode.acc_seg": 72.8863, "aux.loss_seg": 0.11399, "aux.acc_seg": 71.57357, "loss": 0.34523, "time": 0.46881} +{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.22939, "decode.acc_seg": 74.00737, "aux.loss_seg": 0.11323, "aux.acc_seg": 72.56425, "loss": 0.34262, "time": 0.30058} +{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.23049, "decode.acc_seg": 73.4476, "aux.loss_seg": 0.11312, "aux.acc_seg": 72.22072, "loss": 0.34361, "time": 0.30033} +{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.23983, "decode.acc_seg": 72.73767, "aux.loss_seg": 0.11935, "aux.acc_seg": 71.33546, "loss": 0.35918, "time": 0.30104} +{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.21074, "decode.acc_seg": 74.49311, "aux.loss_seg": 0.10437, "aux.acc_seg": 73.18801, "loss": 0.31511, "time": 0.30111} +{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.21934, "decode.acc_seg": 72.04768, "aux.loss_seg": 0.10889, "aux.acc_seg": 70.63502, "loss": 0.32823, "time": 0.30079} +{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.2274, "decode.acc_seg": 75.00619, "aux.loss_seg": 0.11151, "aux.acc_seg": 73.61678, "loss": 0.33892, "time": 0.29978} +{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.22451, "decode.acc_seg": 73.69408, "aux.loss_seg": 0.11099, "aux.acc_seg": 72.37968, "loss": 0.3355, "time": 0.30039} +{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.22936, "decode.acc_seg": 73.64679, "aux.loss_seg": 0.11418, "aux.acc_seg": 72.25437, "loss": 0.34355, "time": 0.30296} +{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.22369, "decode.acc_seg": 73.59936, "aux.loss_seg": 0.11065, "aux.acc_seg": 72.1669, "loss": 0.33434, "time": 0.30255} +{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.21657, "decode.acc_seg": 72.79142, "aux.loss_seg": 0.10653, "aux.acc_seg": 71.45365, "loss": 0.3231, "time": 0.3019} +{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.22631, "decode.acc_seg": 73.69668, "aux.loss_seg": 0.11362, "aux.acc_seg": 72.23586, "loss": 0.33992, "time": 0.30204} +{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.22894, "decode.acc_seg": 72.68654, "aux.loss_seg": 0.1114, "aux.acc_seg": 71.41867, "loss": 0.34033, "time": 0.30153} +{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.21945, "decode.acc_seg": 73.49415, "aux.loss_seg": 0.10875, "aux.acc_seg": 72.16624, "loss": 0.3282, "time": 0.30013} +{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.23343, "decode.acc_seg": 73.58282, "aux.loss_seg": 0.11575, "aux.acc_seg": 72.16491, "loss": 0.34917, "time": 0.30248} +{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.22265, "decode.acc_seg": 73.48625, "aux.loss_seg": 0.10851, "aux.acc_seg": 72.20545, "loss": 0.33116, "time": 0.29981} +{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.23461, "decode.acc_seg": 73.84021, "aux.loss_seg": 0.11514, "aux.acc_seg": 72.4997, "loss": 0.34976, "time": 0.30004} +{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.22311, "decode.acc_seg": 73.43374, "aux.loss_seg": 0.109, "aux.acc_seg": 72.26659, "loss": 0.3321, "time": 0.29971} +{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.24729, "decode.acc_seg": 72.31805, "aux.loss_seg": 0.12152, "aux.acc_seg": 70.81258, "loss": 0.36881, "time": 0.30093} +{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.23843, "decode.acc_seg": 73.96098, "aux.loss_seg": 0.11669, "aux.acc_seg": 72.5525, "loss": 0.35512, "time": 0.30203} +{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.22789, "decode.acc_seg": 73.74707, "aux.loss_seg": 0.11162, "aux.acc_seg": 72.46446, "loss": 0.33951, "time": 0.30071} +{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.22543, "decode.acc_seg": 73.38325, "aux.loss_seg": 0.10947, "aux.acc_seg": 72.11776, "loss": 0.33489, "time": 0.30148} +{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.22135, "decode.acc_seg": 72.76171, "aux.loss_seg": 0.10965, "aux.acc_seg": 71.39268, "loss": 0.331, "time": 0.30251} +{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.24417, "decode.acc_seg": 74.70747, "aux.loss_seg": 0.1188, "aux.acc_seg": 73.36074, "loss": 0.36297, "time": 0.30272} +{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.23618, "decode.acc_seg": 72.93463, "aux.loss_seg": 0.11737, "aux.acc_seg": 71.48986, "loss": 0.35355, "time": 0.30234} +{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22444, "decode.acc_seg": 72.30063, "aux.loss_seg": 0.11141, "aux.acc_seg": 70.89973, "loss": 0.33585, "time": 0.30148} +{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 36160, "data_time": 0.14857, "decode.loss_seg": 0.21847, "decode.acc_seg": 73.57815, "aux.loss_seg": 0.10829, "aux.acc_seg": 72.26156, "loss": 0.32677, "time": 0.45627} +{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.22422, "decode.acc_seg": 73.18742, "aux.loss_seg": 0.11263, "aux.acc_seg": 71.73559, "loss": 0.33685, "time": 0.30036} +{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.22999, "decode.acc_seg": 73.1818, "aux.loss_seg": 0.11236, "aux.acc_seg": 71.8018, "loss": 0.34234, "time": 0.30111} +{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.22738, "decode.acc_seg": 75.38648, "aux.loss_seg": 0.11237, "aux.acc_seg": 74.02288, "loss": 0.33975, "time": 0.30106} +{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.233, "decode.acc_seg": 72.6154, "aux.loss_seg": 0.11575, "aux.acc_seg": 71.24595, "loss": 0.34875, "time": 0.30094} +{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.21829, "decode.acc_seg": 73.22373, "aux.loss_seg": 0.10817, "aux.acc_seg": 71.87655, "loss": 0.32646, "time": 0.30025} +{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 36160, "data_time": 0.00661, "decode.loss_seg": 0.21636, "decode.acc_seg": 72.04488, "aux.loss_seg": 0.10714, "aux.acc_seg": 70.70856, "loss": 0.3235, "time": 0.30273} +{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.22522, "decode.acc_seg": 72.62894, "aux.loss_seg": 0.11045, "aux.acc_seg": 71.23761, "loss": 0.33567, "time": 0.30193} +{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.21462, "decode.acc_seg": 74.42969, "aux.loss_seg": 0.10486, "aux.acc_seg": 73.24258, "loss": 0.31949, "time": 0.30201} +{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.22639, "decode.acc_seg": 73.36378, "aux.loss_seg": 0.11055, "aux.acc_seg": 72.04005, "loss": 0.33694, "time": 0.30125} +{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.21587, "decode.acc_seg": 73.03499, "aux.loss_seg": 0.10803, "aux.acc_seg": 71.70249, "loss": 0.3239, "time": 0.30101} +{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.21437, "decode.acc_seg": 73.67673, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.52411, "loss": 0.3203, "time": 0.30097} +{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.22863, "decode.acc_seg": 75.14092, "aux.loss_seg": 0.11244, "aux.acc_seg": 73.82969, "loss": 0.34107, "time": 0.30135} +{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.21349, "decode.acc_seg": 73.17251, "aux.loss_seg": 0.10792, "aux.acc_seg": 71.70438, "loss": 0.32141, "time": 0.30075} +{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.21698, "decode.acc_seg": 74.25735, "aux.loss_seg": 0.10778, "aux.acc_seg": 72.85659, "loss": 0.32476, "time": 0.30257} +{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.21904, "decode.acc_seg": 73.56835, "aux.loss_seg": 0.10859, "aux.acc_seg": 72.28256, "loss": 0.32763, "time": 0.30113} +{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.22051, "decode.acc_seg": 74.19336, "aux.loss_seg": 0.1096, "aux.acc_seg": 72.87165, "loss": 0.33011, "time": 0.30248} +{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.21885, "decode.acc_seg": 73.30891, "aux.loss_seg": 0.10828, "aux.acc_seg": 72.01438, "loss": 0.32713, "time": 0.30161} +{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.22213, "decode.acc_seg": 73.28463, "aux.loss_seg": 0.1097, "aux.acc_seg": 71.87451, "loss": 0.33183, "time": 0.3017} +{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.2276, "decode.acc_seg": 73.64178, "aux.loss_seg": 0.1147, "aux.acc_seg": 72.06469, "loss": 0.3423, "time": 0.30267} +{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.21536, "decode.acc_seg": 72.87548, "aux.loss_seg": 0.10749, "aux.acc_seg": 71.54305, "loss": 0.32285, "time": 0.30172} +{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.22727, "decode.acc_seg": 73.71943, "aux.loss_seg": 0.11177, "aux.acc_seg": 72.34212, "loss": 0.33904, "time": 0.30161} +{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.22619, "decode.acc_seg": 74.34636, "aux.loss_seg": 0.11034, "aux.acc_seg": 72.97288, "loss": 0.33653, "time": 0.3003} +{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.22173, "decode.acc_seg": 72.53254, "aux.loss_seg": 0.11199, "aux.acc_seg": 70.98655, "loss": 0.33372, "time": 0.30225} +{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.22977, "decode.acc_seg": 73.38681, "aux.loss_seg": 0.11051, "aux.acc_seg": 72.20853, "loss": 0.34028, "time": 0.3017} +{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 36160, "data_time": 0.16208, "decode.loss_seg": 0.21671, "decode.acc_seg": 74.49149, "aux.loss_seg": 0.10829, "aux.acc_seg": 73.04302, "loss": 0.325, "time": 0.47003} +{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.21344, "decode.acc_seg": 73.42749, "aux.loss_seg": 0.1066, "aux.acc_seg": 72.04486, "loss": 0.32005, "time": 0.29942} +{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.2088, "decode.acc_seg": 76.02059, "aux.loss_seg": 0.10426, "aux.acc_seg": 74.67459, "loss": 0.31307, "time": 0.29924} +{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.2077, "decode.acc_seg": 74.34562, "aux.loss_seg": 0.10462, "aux.acc_seg": 72.94662, "loss": 0.31232, "time": 0.29886} +{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.23585, "decode.acc_seg": 72.77846, "aux.loss_seg": 0.11716, "aux.acc_seg": 71.35498, "loss": 0.35301, "time": 0.29906} +{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.23633, "decode.acc_seg": 71.93121, "aux.loss_seg": 0.11605, "aux.acc_seg": 70.62235, "loss": 0.35238, "time": 0.29976} +{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.22874, "decode.acc_seg": 73.2277, "aux.loss_seg": 0.1126, "aux.acc_seg": 71.91555, "loss": 0.34134, "time": 0.30152} +{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.2121, "decode.acc_seg": 74.0292, "aux.loss_seg": 0.1067, "aux.acc_seg": 72.5138, "loss": 0.3188, "time": 0.30133} +{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.22364, "decode.acc_seg": 73.72361, "aux.loss_seg": 0.11038, "aux.acc_seg": 72.31509, "loss": 0.33402, "time": 0.2997} +{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.80718, "aux.loss_seg": 0.10792, "aux.acc_seg": 72.3399, "loss": 0.32385, "time": 0.30095} +{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.22634, "decode.acc_seg": 74.06113, "aux.loss_seg": 0.11267, "aux.acc_seg": 72.68242, "loss": 0.33901, "time": 0.30101} +{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.22055, "decode.acc_seg": 72.96476, "aux.loss_seg": 0.10926, "aux.acc_seg": 71.65782, "loss": 0.32981, "time": 0.30068} +{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.22726, "decode.acc_seg": 73.76866, "aux.loss_seg": 0.11043, "aux.acc_seg": 72.59529, "loss": 0.33769, "time": 0.30078} +{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.21945, "decode.acc_seg": 73.08977, "aux.loss_seg": 0.10867, "aux.acc_seg": 71.70595, "loss": 0.32811, "time": 0.30134} +{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.23146, "decode.acc_seg": 74.37225, "aux.loss_seg": 0.115, "aux.acc_seg": 72.98864, "loss": 0.34646, "time": 0.30006} +{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.23084, "decode.acc_seg": 74.18089, "aux.loss_seg": 0.1125, "aux.acc_seg": 72.91358, "loss": 0.34334, "time": 0.29991} +{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.21309, "decode.acc_seg": 74.95064, "aux.loss_seg": 0.10667, "aux.acc_seg": 73.58944, "loss": 0.31976, "time": 0.30066} +{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.20643, "decode.acc_seg": 72.90922, "aux.loss_seg": 0.10241, "aux.acc_seg": 71.65873, "loss": 0.30884, "time": 0.30103} +{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.21412, "decode.acc_seg": 74.18816, "aux.loss_seg": 0.10617, "aux.acc_seg": 72.95315, "loss": 0.32028, "time": 0.30204} +{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.24245, "decode.acc_seg": 73.27462, "aux.loss_seg": 0.11765, "aux.acc_seg": 71.79322, "loss": 0.36009, "time": 0.30137} +{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.22679, "decode.acc_seg": 73.63611, "aux.loss_seg": 0.11306, "aux.acc_seg": 72.17071, "loss": 0.33985, "time": 0.30138} +{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.20621, "decode.acc_seg": 73.95978, "aux.loss_seg": 0.10304, "aux.acc_seg": 72.5115, "loss": 0.30925, "time": 0.30186} +{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.23266, "decode.acc_seg": 73.01637, "aux.loss_seg": 0.1149, "aux.acc_seg": 71.66496, "loss": 0.34756, "time": 0.30175} +{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.21779, "decode.acc_seg": 73.36185, "aux.loss_seg": 0.10658, "aux.acc_seg": 72.10836, "loss": 0.32437, "time": 0.30144} +{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.21539, "decode.acc_seg": 73.1963, "aux.loss_seg": 0.10698, "aux.acc_seg": 71.79521, "loss": 0.32236, "time": 0.30119} +{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 36160, "data_time": 0.17744, "decode.loss_seg": 0.2072, "decode.acc_seg": 75.51674, "aux.loss_seg": 0.10241, "aux.acc_seg": 74.25322, "loss": 0.30961, "time": 0.47301} +{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.2221, "decode.acc_seg": 74.45515, "aux.loss_seg": 0.11054, "aux.acc_seg": 73.04601, "loss": 0.33263, "time": 0.29932} +{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.22409, "decode.acc_seg": 73.21058, "aux.loss_seg": 0.11342, "aux.acc_seg": 71.71675, "loss": 0.33751, "time": 0.29901} +{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.2182, "decode.acc_seg": 73.86982, "aux.loss_seg": 0.10678, "aux.acc_seg": 72.61009, "loss": 0.32498, "time": 0.29987} +{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.21995, "decode.acc_seg": 73.32343, "aux.loss_seg": 0.10883, "aux.acc_seg": 71.84625, "loss": 0.32879, "time": 0.30056} +{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.21785, "decode.acc_seg": 73.45563, "aux.loss_seg": 0.10991, "aux.acc_seg": 71.89451, "loss": 0.32776, "time": 0.30014} +{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.22381, "decode.acc_seg": 73.96289, "aux.loss_seg": 0.11032, "aux.acc_seg": 72.58228, "loss": 0.33414, "time": 0.30029} +{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.22247, "decode.acc_seg": 73.98779, "aux.loss_seg": 0.1117, "aux.acc_seg": 72.52556, "loss": 0.33417, "time": 0.3018} +{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.21882, "decode.acc_seg": 73.125, "aux.loss_seg": 0.1081, "aux.acc_seg": 71.83591, "loss": 0.32692, "time": 0.30086} +{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.21725, "decode.acc_seg": 72.73616, "aux.loss_seg": 0.10913, "aux.acc_seg": 71.31979, "loss": 0.32638, "time": 0.30172} +{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.22319, "decode.acc_seg": 75.31161, "aux.loss_seg": 0.10934, "aux.acc_seg": 73.98505, "loss": 0.33253, "time": 0.30156} +{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.21625, "decode.acc_seg": 72.66505, "aux.loss_seg": 0.10658, "aux.acc_seg": 71.34692, "loss": 0.32283, "time": 0.3005} +{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.21511, "decode.acc_seg": 73.97704, "aux.loss_seg": 0.10751, "aux.acc_seg": 72.56171, "loss": 0.32262, "time": 0.30339} +{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.21951, "decode.acc_seg": 73.69205, "aux.loss_seg": 0.1089, "aux.acc_seg": 72.26615, "loss": 0.3284, "time": 0.30137} +{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 36160, "data_time": 0.00676, "decode.loss_seg": 0.22335, "decode.acc_seg": 74.85933, "aux.loss_seg": 0.10976, "aux.acc_seg": 73.39688, "loss": 0.33311, "time": 0.30136} +{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 36160, "data_time": 0.00655, "decode.loss_seg": 0.20167, "decode.acc_seg": 75.13963, "aux.loss_seg": 0.10194, "aux.acc_seg": 73.80431, "loss": 0.30361, "time": 0.30127} +{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.20712, "decode.acc_seg": 74.1463, "aux.loss_seg": 0.10395, "aux.acc_seg": 72.72002, "loss": 0.31107, "time": 0.30119} +{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.20516, "decode.acc_seg": 73.78197, "aux.loss_seg": 0.10217, "aux.acc_seg": 72.37841, "loss": 0.30733, "time": 0.30225} +{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.21899, "decode.acc_seg": 74.61881, "aux.loss_seg": 0.10921, "aux.acc_seg": 73.27783, "loss": 0.3282, "time": 0.30328} +{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.21279, "decode.acc_seg": 73.97444, "aux.loss_seg": 0.10686, "aux.acc_seg": 72.56542, "loss": 0.31965, "time": 0.30283} +{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.33609, "aux.loss_seg": 0.10845, "aux.acc_seg": 71.88125, "loss": 0.32438, "time": 0.30202} +{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.21225, "decode.acc_seg": 74.3638, "aux.loss_seg": 0.10742, "aux.acc_seg": 72.96326, "loss": 0.31967, "time": 0.30084} +{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.2124, "decode.acc_seg": 72.74292, "aux.loss_seg": 0.10709, "aux.acc_seg": 71.21101, "loss": 0.31949, "time": 0.301} +{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.21195, "decode.acc_seg": 73.23124, "aux.loss_seg": 0.10689, "aux.acc_seg": 71.70517, "loss": 0.31885, "time": 0.30203} +{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.21422, "decode.acc_seg": 72.91856, "aux.loss_seg": 0.1057, "aux.acc_seg": 71.68107, "loss": 0.31992, "time": 0.30124} +{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 36160, "data_time": 0.17496, "decode.loss_seg": 0.21354, "decode.acc_seg": 72.95835, "aux.loss_seg": 0.10677, "aux.acc_seg": 71.59336, "loss": 0.32031, "time": 0.47085} +{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.21423, "decode.acc_seg": 72.97618, "aux.loss_seg": 0.10507, "aux.acc_seg": 71.74544, "loss": 0.3193, "time": 0.30082} +{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.23987, "decode.acc_seg": 73.95586, "aux.loss_seg": 0.11557, "aux.acc_seg": 72.68463, "loss": 0.35544, "time": 0.30058} +{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.22997, "decode.acc_seg": 74.60608, "aux.loss_seg": 0.116, "aux.acc_seg": 72.99176, "loss": 0.34597, "time": 0.30152} +{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.21259, "decode.acc_seg": 74.13326, "aux.loss_seg": 0.10634, "aux.acc_seg": 72.79711, "loss": 0.31893, "time": 0.30171} +{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.2103, "decode.acc_seg": 74.80927, "aux.loss_seg": 0.10843, "aux.acc_seg": 73.17038, "loss": 0.31874, "time": 0.29954} +{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.21195, "decode.acc_seg": 73.543, "aux.loss_seg": 0.10554, "aux.acc_seg": 72.10681, "loss": 0.31749, "time": 0.30061} +{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.21596, "decode.acc_seg": 74.4885, "aux.loss_seg": 0.10805, "aux.acc_seg": 73.12603, "loss": 0.32401, "time": 0.30057} +{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.20341, "decode.acc_seg": 73.64363, "aux.loss_seg": 0.10056, "aux.acc_seg": 72.42799, "loss": 0.30397, "time": 0.30104} +{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20433, "decode.acc_seg": 74.89011, "aux.loss_seg": 0.10337, "aux.acc_seg": 73.44114, "loss": 0.3077, "time": 0.30099} +{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20876, "decode.acc_seg": 75.00667, "aux.loss_seg": 0.10449, "aux.acc_seg": 73.71159, "loss": 0.31325, "time": 0.30045} +{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.21332, "decode.acc_seg": 74.56436, "aux.loss_seg": 0.10592, "aux.acc_seg": 73.32706, "loss": 0.31924, "time": 0.30006} +{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.20075, "decode.acc_seg": 72.48014, "aux.loss_seg": 0.10115, "aux.acc_seg": 71.10299, "loss": 0.3019, "time": 0.302} +{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.21399, "decode.acc_seg": 73.65103, "aux.loss_seg": 0.10755, "aux.acc_seg": 72.22981, "loss": 0.32154, "time": 0.30172} +{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.20627, "decode.acc_seg": 73.02409, "aux.loss_seg": 0.10342, "aux.acc_seg": 71.69914, "loss": 0.30968, "time": 0.30219} +{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.22542, "decode.acc_seg": 74.87546, "aux.loss_seg": 0.11183, "aux.acc_seg": 73.50969, "loss": 0.33726, "time": 0.30217} +{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.2114, "decode.acc_seg": 75.08534, "aux.loss_seg": 0.10436, "aux.acc_seg": 73.84908, "loss": 0.31576, "time": 0.30084} +{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.22457, "decode.acc_seg": 72.604, "aux.loss_seg": 0.10975, "aux.acc_seg": 71.40343, "loss": 0.33431, "time": 0.30249} +{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.19987, "decode.acc_seg": 74.12682, "aux.loss_seg": 0.09965, "aux.acc_seg": 72.86824, "loss": 0.29952, "time": 0.30078} +{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.2054, "decode.acc_seg": 72.83442, "aux.loss_seg": 0.10228, "aux.acc_seg": 71.56945, "loss": 0.30768, "time": 0.30023} +{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.23043, "decode.acc_seg": 73.15404, "aux.loss_seg": 0.11579, "aux.acc_seg": 71.74136, "loss": 0.34622, "time": 0.30009} +{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.20291, "decode.acc_seg": 72.86912, "aux.loss_seg": 0.10137, "aux.acc_seg": 71.58523, "loss": 0.30427, "time": 0.30226} +{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.21188, "decode.acc_seg": 74.45178, "aux.loss_seg": 0.10648, "aux.acc_seg": 73.15542, "loss": 0.31836, "time": 0.30082} +{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.21522, "decode.acc_seg": 71.77742, "aux.loss_seg": 0.10761, "aux.acc_seg": 70.31467, "loss": 0.32283, "time": 0.30222} +{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.21232, "decode.acc_seg": 72.67623, "aux.loss_seg": 0.10475, "aux.acc_seg": 71.3807, "loss": 0.31708, "time": 0.30198} +{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.20898, "decode.acc_seg": 73.55729, "aux.loss_seg": 0.10457, "aux.acc_seg": 72.24924, "loss": 0.31354, "time": 0.30121} +{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 36160, "data_time": 0.15361, "decode.loss_seg": 0.20422, "decode.acc_seg": 75.09478, "aux.loss_seg": 0.10162, "aux.acc_seg": 73.83794, "loss": 0.30584, "time": 0.47519} +{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.21541, "decode.acc_seg": 73.32217, "aux.loss_seg": 0.10636, "aux.acc_seg": 72.02429, "loss": 0.32177, "time": 0.29948} +{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.21701, "decode.acc_seg": 73.018, "aux.loss_seg": 0.10612, "aux.acc_seg": 71.7596, "loss": 0.32313, "time": 0.29914} +{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.2049, "decode.acc_seg": 74.12325, "aux.loss_seg": 0.10192, "aux.acc_seg": 72.84937, "loss": 0.30682, "time": 0.2997} +{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.21065, "decode.acc_seg": 74.74591, "aux.loss_seg": 0.10342, "aux.acc_seg": 73.48958, "loss": 0.31407, "time": 0.29915} +{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.1997, "decode.acc_seg": 75.22992, "aux.loss_seg": 0.10123, "aux.acc_seg": 73.8044, "loss": 0.30093, "time": 0.29918} +{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.21328, "decode.acc_seg": 73.97386, "aux.loss_seg": 0.1047, "aux.acc_seg": 72.70727, "loss": 0.31798, "time": 0.30308} +{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.21219, "decode.acc_seg": 73.82519, "aux.loss_seg": 0.10652, "aux.acc_seg": 72.40998, "loss": 0.31871, "time": 0.30712} +{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.21104, "decode.acc_seg": 73.96896, "aux.loss_seg": 0.10691, "aux.acc_seg": 72.48515, "loss": 0.31795, "time": 0.30195} +{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20516, "decode.acc_seg": 74.36126, "aux.loss_seg": 0.10205, "aux.acc_seg": 72.99744, "loss": 0.30721, "time": 0.3008} +{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.22021, "decode.acc_seg": 73.89304, "aux.loss_seg": 0.11067, "aux.acc_seg": 72.4543, "loss": 0.33088, "time": 0.29968} +{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.22037, "decode.acc_seg": 72.39573, "aux.loss_seg": 0.10833, "aux.acc_seg": 71.04626, "loss": 0.3287, "time": 0.29961} +{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.21683, "decode.acc_seg": 72.56409, "aux.loss_seg": 0.10645, "aux.acc_seg": 71.19065, "loss": 0.32328, "time": 0.30059} +{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.22391, "decode.acc_seg": 74.33617, "aux.loss_seg": 0.11029, "aux.acc_seg": 73.08138, "loss": 0.3342, "time": 0.30276} +{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.21579, "decode.acc_seg": 74.48644, "aux.loss_seg": 0.10813, "aux.acc_seg": 73.10562, "loss": 0.32392, "time": 0.30085} +{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.22398, "decode.acc_seg": 73.00739, "aux.loss_seg": 0.11035, "aux.acc_seg": 71.64436, "loss": 0.33433, "time": 0.30175} +{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.21895, "decode.acc_seg": 74.34667, "aux.loss_seg": 0.10778, "aux.acc_seg": 73.14034, "loss": 0.32673, "time": 0.30038} +{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.21411, "decode.acc_seg": 73.76757, "aux.loss_seg": 0.10607, "aux.acc_seg": 72.43853, "loss": 0.32018, "time": 0.30226} +{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.21316, "decode.acc_seg": 72.49812, "aux.loss_seg": 0.10508, "aux.acc_seg": 71.30204, "loss": 0.31824, "time": 0.30286} +{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.21139, "decode.acc_seg": 72.39964, "aux.loss_seg": 0.10702, "aux.acc_seg": 70.92993, "loss": 0.3184, "time": 0.3036} +{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.20342, "decode.acc_seg": 72.46277, "aux.loss_seg": 0.10259, "aux.acc_seg": 71.05339, "loss": 0.30601, "time": 0.30278} +{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.21639, "decode.acc_seg": 72.54643, "aux.loss_seg": 0.1074, "aux.acc_seg": 71.31329, "loss": 0.32379, "time": 0.30129} +{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.21471, "decode.acc_seg": 74.65517, "aux.loss_seg": 0.10681, "aux.acc_seg": 73.35105, "loss": 0.32152, "time": 0.30379} +{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.22101, "decode.acc_seg": 73.41343, "aux.loss_seg": 0.10896, "aux.acc_seg": 72.07038, "loss": 0.32997, "time": 0.30309} +{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.20626, "decode.acc_seg": 73.93715, "aux.loss_seg": 0.10237, "aux.acc_seg": 72.63705, "loss": 0.30864, "time": 0.30553} +{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 36160, "data_time": 0.16727, "decode.loss_seg": 0.21203, "decode.acc_seg": 73.89411, "aux.loss_seg": 0.10588, "aux.acc_seg": 72.48399, "loss": 0.31791, "time": 0.4631} +{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.21081, "decode.acc_seg": 73.57422, "aux.loss_seg": 0.10528, "aux.acc_seg": 72.209, "loss": 0.31609, "time": 0.30027} +{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.20433, "decode.acc_seg": 74.05495, "aux.loss_seg": 0.10369, "aux.acc_seg": 72.60586, "loss": 0.30802, "time": 0.2994} +{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19934, "decode.acc_seg": 74.70257, "aux.loss_seg": 0.0984, "aux.acc_seg": 73.49297, "loss": 0.29774, "time": 0.30081} +{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.21008, "decode.acc_seg": 73.1161, "aux.loss_seg": 0.10597, "aux.acc_seg": 71.69861, "loss": 0.31606, "time": 0.30034} +{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.21808, "decode.acc_seg": 74.66597, "aux.loss_seg": 0.1078, "aux.acc_seg": 73.40216, "loss": 0.32588, "time": 0.29993} +{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.20595, "decode.acc_seg": 73.62278, "aux.loss_seg": 0.1026, "aux.acc_seg": 72.29567, "loss": 0.30855, "time": 0.29987} +{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.21548, "decode.acc_seg": 74.32011, "aux.loss_seg": 0.10613, "aux.acc_seg": 73.00688, "loss": 0.32161, "time": 0.30269} +{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4674, "mAcc": 0.5903, "aAcc": 0.8186, "IoU.wall": 0.7543, "IoU.building": 0.8158, "IoU.sky": 0.9377, "IoU.floor": 0.8047, "IoU.tree": 0.7309, "IoU.ceiling": 0.8259, "IoU.road": 0.814, "IoU.bed ": 0.8654, "IoU.windowpane": 0.6065, "IoU.grass": 0.6594, "IoU.cabinet": 0.5999, "IoU.sidewalk": 0.6504, "IoU.person": 0.7791, "IoU.earth": 0.3607, "IoU.door": 0.4759, "IoU.table": 0.5793, "IoU.mountain": 0.5699, "IoU.plant": 0.4916, "IoU.curtain": 0.691, "IoU.chair": 0.5632, "IoU.car": 0.8312, "IoU.water": 0.5054, "IoU.painting": 0.7001, "IoU.sofa": 0.6009, "IoU.shelf": 0.3942, "IoU.house": 0.4888, "IoU.sea": 0.5141, "IoU.mirror": 0.6366, "IoU.rug": 0.63, "IoU.field": 0.257, "IoU.armchair": 0.4223, "IoU.seat": 0.5819, "IoU.fence": 0.4288, "IoU.desk": 0.4758, "IoU.rock": 0.3536, "IoU.wardrobe": 0.5127, "IoU.lamp": 0.5888, "IoU.bathtub": 0.7294, "IoU.railing": 0.3375, "IoU.cushion": 0.5539, "IoU.base": 0.334, "IoU.box": 0.252, "IoU.column": 0.4172, "IoU.signboard": 0.3632, "IoU.chest of drawers": 0.3495, "IoU.counter": 0.25, "IoU.sand": 0.4329, "IoU.sink": 0.6922, "IoU.skyscraper": 0.6661, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7497, "IoU.grandstand": 0.3782, "IoU.path": 0.2153, "IoU.stairs": 0.2696, "IoU.runway": 0.6831, "IoU.case": 0.5017, "IoU.pool table": 0.9129, "IoU.pillow": 0.5219, "IoU.screen door": 0.5856, "IoU.stairway": 0.2672, "IoU.river": 0.1324, "IoU.bridge": 0.6537, "IoU.bookcase": 0.3972, "IoU.blind": NaN, "IoU.coffee table": 0.5614, "IoU.toilet": 0.8157, "IoU.flower": 0.451, "IoU.book": 0.4239, "IoU.hill": 0.1452, "IoU.bench": 0.3803, "IoU.countertop": 0.4998, "IoU.stove": 0.7222, "IoU.palm": 0.4723, "IoU.kitchen island": 0.3878, "IoU.computer": 0.6293, "IoU.swivel chair": 0.4407, "IoU.boat": 0.4959, "IoU.bar": 0.3665, "IoU.arcade machine": 0.437, "IoU.hovel": 0.3373, "IoU.bus": 0.8683, "IoU.towel": 0.6244, "IoU.light": 0.54, "IoU.truck": 0.1913, "IoU.tower": 0.2124, "IoU.chandelier": 0.6256, "IoU.awning": 0.2876, "IoU.streetlight": 0.2173, "IoU.booth": 0.5978, "IoU.television receiver": NaN, "IoU.airplane": 0.6185, "IoU.dirt track": 0.0, "IoU.apparel": 0.3351, "IoU.pole": 0.1587, "IoU.land": 0.0294, "IoU.bannister": 0.1084, "IoU.escalator": 0.3337, "IoU.ottoman": 0.4051, "IoU.bottle": NaN, "IoU.buffet": 0.4547, "IoU.poster": 0.2662, "IoU.stage": 0.1712, "IoU.van": 0.4058, "IoU.ship": 0.624, "IoU.fountain": 0.2059, "IoU.conveyer belt": 0.8338, "IoU.canopy": 0.2201, "IoU.washer": 0.7486, "IoU.plaything": 0.2159, "IoU.swimming pool": 0.7174, "IoU.stool": 0.3527, "IoU.barrel": 0.4331, "IoU.basket": 0.2729, "IoU.waterfall": 0.5693, "IoU.tent": 0.9306, "IoU.bag": 0.1004, "IoU.minibike": 0.7001, "IoU.cradle": NaN, "IoU.oven": 0.2427, "IoU.ball": 0.2982, "IoU.food": 0.2861, "IoU.step": 0.0947, "IoU.tank": 0.5945, "IoU.trade name": 0.2314, "IoU.microwave": 0.4426, "IoU.pot": 0.4793, "IoU.animal": NaN, "IoU.bicycle": 0.5317, "IoU.lake": 0.3986, "IoU.dishwasher": 0.4616, "IoU.screen": 0.6565, "IoU.blanket": 0.0885, "IoU.sculpture": 0.5513, "IoU.hood": 0.6108, "IoU.sconce": 0.4209, "IoU.vase": 0.3139, "IoU.traffic light": 0.2801, "IoU.tray": 0.0339, "IoU.ashcan": 0.3244, "IoU.fan": 0.6102, "IoU.pier": 0.407, "IoU.crt screen": 0.0025, "IoU.plate": 0.578, "IoU.monitor": 0.1168, "IoU.bulletin board": 0.5367, "IoU.shower": 0.0031, "IoU.radiator": 0.6158, "IoU.glass": 0.1307, "IoU.clock": 0.3981, "IoU.flag": 0.4778, "Acc.wall": 0.8702, "Acc.building": 0.9198, "Acc.sky": 0.9662, "Acc.floor": 0.8945, "Acc.tree": 0.8824, "Acc.ceiling": 0.9027, "Acc.road": 0.8879, "Acc.bed ": 0.9449, "Acc.windowpane": 0.7849, "Acc.grass": 0.7611, "Acc.cabinet": 0.7316, "Acc.sidewalk": 0.8087, "Acc.person": 0.9044, "Acc.earth": 0.4943, "Acc.door": 0.6055, "Acc.table": 0.7898, "Acc.mountain": 0.7226, "Acc.plant": 0.5889, "Acc.curtain": 0.8193, "Acc.chair": 0.7336, "Acc.car": 0.9056, "Acc.water": 0.6362, "Acc.painting": 0.8713, "Acc.sofa": 0.7606, "Acc.shelf": 0.5291, "Acc.house": 0.6275, "Acc.sea": 0.8055, "Acc.mirror": 0.7107, "Acc.rug": 0.7523, "Acc.field": 0.5944, "Acc.armchair": 0.5899, "Acc.seat": 0.8384, "Acc.fence": 0.5832, "Acc.desk": 0.6832, "Acc.rock": 0.5716, "Acc.wardrobe": 0.5867, "Acc.lamp": 0.7469, "Acc.bathtub": 0.8229, "Acc.railing": 0.4437, "Acc.cushion": 0.6648, "Acc.base": 0.4565, "Acc.box": 0.312, "Acc.column": 0.5166, "Acc.signboard": 0.4946, "Acc.chest of drawers": 0.5658, "Acc.counter": 0.3103, "Acc.sand": 0.7356, "Acc.sink": 0.7674, "Acc.skyscraper": 0.8645, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8374, "Acc.grandstand": 0.6777, "Acc.path": 0.3148, "Acc.stairs": 0.376, "Acc.runway": 0.7995, "Acc.case": 0.8218, "Acc.pool table": 0.9616, "Acc.pillow": 0.6178, "Acc.screen door": 0.6821, "Acc.stairway": 0.399, "Acc.river": 0.2111, "Acc.bridge": 0.7113, "Acc.bookcase": 0.513, "Acc.blind": NaN, "Acc.coffee table": 0.7899, "Acc.toilet": 0.89, "Acc.flower": 0.6585, "Acc.book": 0.6369, "Acc.hill": 0.2114, "Acc.bench": 0.4485, "Acc.countertop": 0.667, "Acc.stove": 0.8368, "Acc.palm": 0.7831, "Acc.kitchen island": 0.718, "Acc.computer": 0.7468, "Acc.swivel chair": 0.6525, "Acc.boat": 0.602, "Acc.bar": 0.4981, "Acc.arcade machine": 0.4793, "Acc.hovel": 0.386, "Acc.bus": 0.9556, "Acc.towel": 0.7899, "Acc.light": 0.6394, "Acc.truck": 0.2795, "Acc.tower": 0.3249, "Acc.chandelier": 0.7518, "Acc.awning": 0.3352, "Acc.streetlight": 0.2867, "Acc.booth": 0.6734, "Acc.television receiver": NaN, "Acc.airplane": 0.7116, "Acc.dirt track": 0.0, "Acc.apparel": 0.5119, "Acc.pole": 0.213, "Acc.land": 0.0479, "Acc.bannister": 0.1733, "Acc.escalator": 0.3638, "Acc.ottoman": 0.5694, "Acc.bottle": NaN, "Acc.buffet": 0.5429, "Acc.poster": 0.3185, "Acc.stage": 0.2629, "Acc.van": 0.5399, "Acc.ship": 0.9342, "Acc.fountain": 0.2128, "Acc.conveyer belt": 0.8943, "Acc.canopy": 0.2922, "Acc.washer": 0.7862, "Acc.plaything": 0.3771, "Acc.swimming pool": 0.872, "Acc.stool": 0.5388, "Acc.barrel": 0.6456, "Acc.basket": 0.3596, "Acc.waterfall": 0.775, "Acc.tent": 0.9807, "Acc.bag": 0.1158, "Acc.minibike": 0.8838, "Acc.cradle": NaN, "Acc.oven": 0.6675, "Acc.ball": 0.3116, "Acc.food": 0.3326, "Acc.step": 0.1094, "Acc.tank": 0.6424, "Acc.trade name": 0.2577, "Acc.microwave": 0.4827, "Acc.pot": 0.5362, "Acc.animal": NaN, "Acc.bicycle": 0.7724, "Acc.lake": 0.5888, "Acc.dishwasher": 0.5378, "Acc.screen": 0.9042, "Acc.blanket": 0.1076, "Acc.sculpture": 0.8335, "Acc.hood": 0.6611, "Acc.sconce": 0.4989, "Acc.vase": 0.5203, "Acc.traffic light": 0.4094, "Acc.tray": 0.0437, "Acc.ashcan": 0.4049, "Acc.fan": 0.7515, "Acc.pier": 0.6238, "Acc.crt screen": 0.0078, "Acc.plate": 0.7325, "Acc.monitor": 0.1268, "Acc.bulletin board": 0.6356, "Acc.shower": 0.004, "Acc.radiator": 0.6935, "Acc.glass": 0.139, "Acc.clock": 0.4658, "Acc.flag": 0.5466} +{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 36160, "data_time": 1.4399, "decode.loss_seg": 0.21043, "decode.acc_seg": 73.80605, "aux.loss_seg": 0.10326, "aux.acc_seg": 72.68742, "loss": 0.31369, "time": 1.73772} +{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.20855, "decode.acc_seg": 72.3588, "aux.loss_seg": 0.10282, "aux.acc_seg": 71.17775, "loss": 0.31136, "time": 0.30744} +{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.20549, "decode.acc_seg": 73.21597, "aux.loss_seg": 0.1016, "aux.acc_seg": 71.89807, "loss": 0.30709, "time": 0.30376} +{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.20493, "decode.acc_seg": 73.10793, "aux.loss_seg": 0.10279, "aux.acc_seg": 71.70924, "loss": 0.30773, "time": 0.30442} +{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.21123, "decode.acc_seg": 74.76586, "aux.loss_seg": 0.1046, "aux.acc_seg": 73.43483, "loss": 0.31583, "time": 0.30199} +{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.21289, "decode.acc_seg": 73.35346, "aux.loss_seg": 0.10509, "aux.acc_seg": 72.07056, "loss": 0.31798, "time": 0.30103} +{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20889, "decode.acc_seg": 73.69455, "aux.loss_seg": 0.10455, "aux.acc_seg": 72.39909, "loss": 0.31344, "time": 0.30152} +{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.21905, "decode.acc_seg": 74.25788, "aux.loss_seg": 0.10716, "aux.acc_seg": 73.00624, "loss": 0.32621, "time": 0.30249} +{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.21524, "decode.acc_seg": 74.4047, "aux.loss_seg": 0.108, "aux.acc_seg": 72.95496, "loss": 0.32324, "time": 0.30206} +{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.20784, "decode.acc_seg": 73.61934, "aux.loss_seg": 0.10446, "aux.acc_seg": 72.2192, "loss": 0.3123, "time": 0.29853} +{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.20434, "decode.acc_seg": 72.57731, "aux.loss_seg": 0.1013, "aux.acc_seg": 71.29638, "loss": 0.30564, "time": 0.29845} +{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.216, "decode.acc_seg": 74.12813, "aux.loss_seg": 0.10592, "aux.acc_seg": 72.75508, "loss": 0.32192, "time": 0.30101} +{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.21407, "decode.acc_seg": 73.11066, "aux.loss_seg": 0.10608, "aux.acc_seg": 71.7822, "loss": 0.32015, "time": 0.30155} +{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20704, "decode.acc_seg": 73.91797, "aux.loss_seg": 0.10332, "aux.acc_seg": 72.56535, "loss": 0.31036, "time": 0.30124} +{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.21318, "decode.acc_seg": 74.43156, "aux.loss_seg": 0.1059, "aux.acc_seg": 72.99618, "loss": 0.31908, "time": 0.30136} +{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.21638, "decode.acc_seg": 72.10727, "aux.loss_seg": 0.10746, "aux.acc_seg": 70.85715, "loss": 0.32383, "time": 0.30149} +{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 36160, "data_time": 0.14933, "decode.loss_seg": 0.2297, "decode.acc_seg": 75.08335, "aux.loss_seg": 0.11357, "aux.acc_seg": 73.73523, "loss": 0.34328, "time": 0.47105} +{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.20001, "decode.acc_seg": 73.47089, "aux.loss_seg": 0.09981, "aux.acc_seg": 72.22965, "loss": 0.29982, "time": 0.30015} +{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.20836, "decode.acc_seg": 75.18362, "aux.loss_seg": 0.10253, "aux.acc_seg": 73.91575, "loss": 0.31088, "time": 0.29921} +{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.2006, "decode.acc_seg": 73.58829, "aux.loss_seg": 0.10025, "aux.acc_seg": 72.35402, "loss": 0.30085, "time": 0.29947} +{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.20897, "decode.acc_seg": 74.25315, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.71343, "loss": 0.31486, "time": 0.30077} +{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.19428, "decode.acc_seg": 73.2702, "aux.loss_seg": 0.09676, "aux.acc_seg": 72.01059, "loss": 0.29104, "time": 0.30168} +{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.20657, "decode.acc_seg": 74.70406, "aux.loss_seg": 0.10276, "aux.acc_seg": 73.34544, "loss": 0.30933, "time": 0.30298} +{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.20467, "decode.acc_seg": 75.17992, "aux.loss_seg": 0.10379, "aux.acc_seg": 73.66575, "loss": 0.30845, "time": 0.30264} +{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.20305, "decode.acc_seg": 74.39679, "aux.loss_seg": 0.10075, "aux.acc_seg": 73.19117, "loss": 0.30381, "time": 0.30354} +{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.21134, "decode.acc_seg": 72.9144, "aux.loss_seg": 0.10434, "aux.acc_seg": 71.61542, "loss": 0.31568, "time": 0.30255} +{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.21225, "decode.acc_seg": 73.23773, "aux.loss_seg": 0.10635, "aux.acc_seg": 71.80078, "loss": 0.3186, "time": 0.30199} +{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.2086, "decode.acc_seg": 72.85611, "aux.loss_seg": 0.1036, "aux.acc_seg": 71.59243, "loss": 0.3122, "time": 0.30511} +{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.21502, "decode.acc_seg": 73.99538, "aux.loss_seg": 0.10622, "aux.acc_seg": 72.72132, "loss": 0.32123, "time": 0.30225} +{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.21295, "decode.acc_seg": 74.28719, "aux.loss_seg": 0.10747, "aux.acc_seg": 72.79159, "loss": 0.32042, "time": 0.30226} +{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.20837, "decode.acc_seg": 73.57491, "aux.loss_seg": 0.10328, "aux.acc_seg": 72.27395, "loss": 0.31164, "time": 0.30186} +{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.20828, "decode.acc_seg": 73.69327, "aux.loss_seg": 0.10485, "aux.acc_seg": 72.35206, "loss": 0.31312, "time": 0.30336} +{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.21927, "decode.acc_seg": 73.43362, "aux.loss_seg": 0.11024, "aux.acc_seg": 71.91748, "loss": 0.32951, "time": 0.30269} +{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.19763, "decode.acc_seg": 73.70374, "aux.loss_seg": 0.09985, "aux.acc_seg": 72.40748, "loss": 0.29748, "time": 0.30303} +{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.20533, "decode.acc_seg": 73.27156, "aux.loss_seg": 0.10421, "aux.acc_seg": 71.82989, "loss": 0.30954, "time": 0.30338} +{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.21405, "decode.acc_seg": 74.0763, "aux.loss_seg": 0.10735, "aux.acc_seg": 72.68395, "loss": 0.3214, "time": 0.30249} +{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.21808, "decode.acc_seg": 74.03063, "aux.loss_seg": 0.10769, "aux.acc_seg": 72.76987, "loss": 0.32577, "time": 0.30133} +{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20243, "decode.acc_seg": 74.31907, "aux.loss_seg": 0.10075, "aux.acc_seg": 73.00018, "loss": 0.30318, "time": 0.30215} +{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.21049, "decode.acc_seg": 75.16096, "aux.loss_seg": 0.10474, "aux.acc_seg": 73.79072, "loss": 0.31523, "time": 0.3008} +{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.19772, "decode.acc_seg": 73.3174, "aux.loss_seg": 0.09751, "aux.acc_seg": 72.09359, "loss": 0.29523, "time": 0.30321} +{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.22008, "decode.acc_seg": 72.60058, "aux.loss_seg": 0.1081, "aux.acc_seg": 71.28584, "loss": 0.32818, "time": 0.30223} +{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 36160, "data_time": 0.16332, "decode.loss_seg": 0.20505, "decode.acc_seg": 73.35635, "aux.loss_seg": 0.10316, "aux.acc_seg": 71.94696, "loss": 0.3082, "time": 0.47536} +{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.19767, "decode.acc_seg": 74.26095, "aux.loss_seg": 0.09965, "aux.acc_seg": 72.88122, "loss": 0.29732, "time": 0.30099} +{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.19575, "decode.acc_seg": 73.6097, "aux.loss_seg": 0.09874, "aux.acc_seg": 72.38204, "loss": 0.29448, "time": 0.29958} +{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20901, "decode.acc_seg": 73.59854, "aux.loss_seg": 0.10453, "aux.acc_seg": 72.23839, "loss": 0.31354, "time": 0.29967} +{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.19834, "decode.acc_seg": 74.22983, "aux.loss_seg": 0.10057, "aux.acc_seg": 72.81621, "loss": 0.29891, "time": 0.30062} +{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.2029, "decode.acc_seg": 73.13858, "aux.loss_seg": 0.10239, "aux.acc_seg": 71.74983, "loss": 0.30529, "time": 0.29945} +{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.19379, "decode.acc_seg": 73.73545, "aux.loss_seg": 0.09728, "aux.acc_seg": 72.46038, "loss": 0.29107, "time": 0.30059} +{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.20605, "decode.acc_seg": 73.93659, "aux.loss_seg": 0.10383, "aux.acc_seg": 72.58828, "loss": 0.30988, "time": 0.30107} +{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.2067, "decode.acc_seg": 73.75139, "aux.loss_seg": 0.10297, "aux.acc_seg": 72.47465, "loss": 0.30968, "time": 0.30049} +{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.19987, "decode.acc_seg": 73.81816, "aux.loss_seg": 0.09967, "aux.acc_seg": 72.54497, "loss": 0.29955, "time": 0.30215} +{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.20306, "decode.acc_seg": 75.46596, "aux.loss_seg": 0.10272, "aux.acc_seg": 74.0863, "loss": 0.30578, "time": 0.30113} +{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.8813, "aux.loss_seg": 0.10922, "aux.acc_seg": 72.50067, "loss": 0.32515, "time": 0.30094} +{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.19511, "decode.acc_seg": 72.71026, "aux.loss_seg": 0.09961, "aux.acc_seg": 71.28656, "loss": 0.29472, "time": 0.30043} +{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.21687, "decode.acc_seg": 73.77325, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.44104, "loss": 0.32281, "time": 0.30025} +{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20813, "decode.acc_seg": 73.47958, "aux.loss_seg": 0.10524, "aux.acc_seg": 72.15291, "loss": 0.31336, "time": 0.30086} +{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.19656, "decode.acc_seg": 73.61074, "aux.loss_seg": 0.10005, "aux.acc_seg": 72.21472, "loss": 0.29661, "time": 0.30189} +{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.19792, "decode.acc_seg": 73.93071, "aux.loss_seg": 0.09735, "aux.acc_seg": 72.77337, "loss": 0.29527, "time": 0.30036} +{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.21064, "decode.acc_seg": 72.85565, "aux.loss_seg": 0.10321, "aux.acc_seg": 71.70598, "loss": 0.31385, "time": 0.30119} +{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.2181, "decode.acc_seg": 73.03358, "aux.loss_seg": 0.10681, "aux.acc_seg": 71.80941, "loss": 0.3249, "time": 0.30144} +{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.20406, "decode.acc_seg": 75.07719, "aux.loss_seg": 0.1044, "aux.acc_seg": 73.47606, "loss": 0.30846, "time": 0.30035} +{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.20626, "decode.acc_seg": 73.42494, "aux.loss_seg": 0.10421, "aux.acc_seg": 72.00636, "loss": 0.31047, "time": 0.30076} +{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.19972, "decode.acc_seg": 71.94198, "aux.loss_seg": 0.09968, "aux.acc_seg": 70.62942, "loss": 0.2994, "time": 0.30267} +{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.20246, "decode.acc_seg": 73.82619, "aux.loss_seg": 0.10116, "aux.acc_seg": 72.52518, "loss": 0.30362, "time": 0.30055} +{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.19924, "decode.acc_seg": 74.47357, "aux.loss_seg": 0.09972, "aux.acc_seg": 73.20513, "loss": 0.29896, "time": 0.30046} +{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.20701, "decode.acc_seg": 75.19409, "aux.loss_seg": 0.10292, "aux.acc_seg": 73.96609, "loss": 0.30993, "time": 0.30052} +{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.2071, "decode.acc_seg": 73.94765, "aux.loss_seg": 0.10421, "aux.acc_seg": 72.46656, "loss": 0.31131, "time": 0.30181} +{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 36160, "data_time": 0.15552, "decode.loss_seg": 0.20983, "decode.acc_seg": 74.21569, "aux.loss_seg": 0.10429, "aux.acc_seg": 72.82491, "loss": 0.31412, "time": 0.46512} +{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.20511, "decode.acc_seg": 73.7389, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.41483, "loss": 0.30757, "time": 0.30074} +{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.20972, "decode.acc_seg": 75.04589, "aux.loss_seg": 0.1068, "aux.acc_seg": 73.55484, "loss": 0.31652, "time": 0.30073} +{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.20239, "decode.acc_seg": 73.88084, "aux.loss_seg": 0.10177, "aux.acc_seg": 72.489, "loss": 0.30416, "time": 0.30151} +{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.20659, "decode.acc_seg": 73.11349, "aux.loss_seg": 0.10183, "aux.acc_seg": 71.92193, "loss": 0.30842, "time": 0.30086} +{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.20309, "decode.acc_seg": 72.88047, "aux.loss_seg": 0.10139, "aux.acc_seg": 71.46986, "loss": 0.30448, "time": 0.30182} +{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.21204, "decode.acc_seg": 74.06188, "aux.loss_seg": 0.10674, "aux.acc_seg": 72.65598, "loss": 0.31878, "time": 0.3023} +{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.20383, "decode.acc_seg": 74.96574, "aux.loss_seg": 0.102, "aux.acc_seg": 73.60022, "loss": 0.30582, "time": 0.30132} +{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19596, "decode.acc_seg": 73.86883, "aux.loss_seg": 0.09718, "aux.acc_seg": 72.57228, "loss": 0.29313, "time": 0.30181} +{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.20717, "decode.acc_seg": 74.92432, "aux.loss_seg": 0.10278, "aux.acc_seg": 73.53455, "loss": 0.30995, "time": 0.30084} +{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.19873, "decode.acc_seg": 73.59478, "aux.loss_seg": 0.0968, "aux.acc_seg": 72.4929, "loss": 0.29552, "time": 0.30127} +{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.20671, "decode.acc_seg": 74.2374, "aux.loss_seg": 0.10167, "aux.acc_seg": 73.0251, "loss": 0.30839, "time": 0.30183} +{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20507, "decode.acc_seg": 73.28784, "aux.loss_seg": 0.10238, "aux.acc_seg": 71.92923, "loss": 0.30745, "time": 0.30054} +{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.2027, "decode.acc_seg": 74.04407, "aux.loss_seg": 0.1018, "aux.acc_seg": 72.67828, "loss": 0.3045, "time": 0.30039} +{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.1997, "decode.acc_seg": 74.8522, "aux.loss_seg": 0.10095, "aux.acc_seg": 73.45409, "loss": 0.30065, "time": 0.30077} +{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.20888, "decode.acc_seg": 74.46736, "aux.loss_seg": 0.10358, "aux.acc_seg": 73.19803, "loss": 0.31246, "time": 0.30003} +{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.2038, "decode.acc_seg": 73.29914, "aux.loss_seg": 0.10248, "aux.acc_seg": 71.85873, "loss": 0.30627, "time": 0.30103} +{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.19976, "decode.acc_seg": 73.92933, "aux.loss_seg": 0.10071, "aux.acc_seg": 72.55238, "loss": 0.30047, "time": 0.30098} +{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20294, "decode.acc_seg": 73.2619, "aux.loss_seg": 0.10029, "aux.acc_seg": 72.06238, "loss": 0.30324, "time": 0.30023} +{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.21957, "decode.acc_seg": 74.74304, "aux.loss_seg": 0.10797, "aux.acc_seg": 73.4092, "loss": 0.32754, "time": 0.30232} +{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.20913, "decode.acc_seg": 74.50146, "aux.loss_seg": 0.1043, "aux.acc_seg": 73.17578, "loss": 0.31343, "time": 0.30106} +{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22614, "decode.acc_seg": 72.68117, "aux.loss_seg": 0.11013, "aux.acc_seg": 71.39981, "loss": 0.33627, "time": 0.30149} +{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.21148, "decode.acc_seg": 73.17829, "aux.loss_seg": 0.10463, "aux.acc_seg": 71.78872, "loss": 0.31611, "time": 0.30156} +{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.2089, "decode.acc_seg": 72.96553, "aux.loss_seg": 0.10531, "aux.acc_seg": 71.55307, "loss": 0.31421, "time": 0.30259} +{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.21637, "decode.acc_seg": 73.96295, "aux.loss_seg": 0.10711, "aux.acc_seg": 72.67093, "loss": 0.32349, "time": 0.30113} +{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 36160, "data_time": 0.17554, "decode.loss_seg": 0.19771, "decode.acc_seg": 73.28016, "aux.loss_seg": 0.09931, "aux.acc_seg": 72.02047, "loss": 0.29702, "time": 0.47368} +{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.21216, "decode.acc_seg": 74.68023, "aux.loss_seg": 0.1075, "aux.acc_seg": 73.20093, "loss": 0.31966, "time": 0.30211} +{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.20671, "decode.acc_seg": 73.72752, "aux.loss_seg": 0.10551, "aux.acc_seg": 72.29123, "loss": 0.31222, "time": 0.30178} +{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.20942, "decode.acc_seg": 73.25557, "aux.loss_seg": 0.10468, "aux.acc_seg": 71.91514, "loss": 0.3141, "time": 0.30065} +{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.19446, "decode.acc_seg": 73.46024, "aux.loss_seg": 0.09846, "aux.acc_seg": 72.1018, "loss": 0.29292, "time": 0.30001} +{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.18918, "decode.acc_seg": 73.29645, "aux.loss_seg": 0.0959, "aux.acc_seg": 71.92682, "loss": 0.28509, "time": 0.30077} +{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.18489, "decode.acc_seg": 73.87323, "aux.loss_seg": 0.09275, "aux.acc_seg": 72.63249, "loss": 0.27764, "time": 0.30079} +{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.19335, "decode.acc_seg": 76.16408, "aux.loss_seg": 0.09701, "aux.acc_seg": 74.87611, "loss": 0.29036, "time": 0.30333} +{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.19267, "decode.acc_seg": 73.62674, "aux.loss_seg": 0.09847, "aux.acc_seg": 72.28874, "loss": 0.29114, "time": 0.30367} +{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.20495, "decode.acc_seg": 73.99026, "aux.loss_seg": 0.1017, "aux.acc_seg": 72.6779, "loss": 0.30664, "time": 0.30303} +{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.21598, "decode.acc_seg": 73.1813, "aux.loss_seg": 0.10607, "aux.acc_seg": 71.92141, "loss": 0.32204, "time": 0.30196} +{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.21849, "decode.acc_seg": 74.14003, "aux.loss_seg": 0.10981, "aux.acc_seg": 72.72483, "loss": 0.32829, "time": 0.30214} +{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.19849, "decode.acc_seg": 73.74808, "aux.loss_seg": 0.09864, "aux.acc_seg": 72.44767, "loss": 0.29713, "time": 0.30095} +{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.2034, "decode.acc_seg": 74.03116, "aux.loss_seg": 0.10312, "aux.acc_seg": 72.54076, "loss": 0.30652, "time": 0.30313} +{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.217, "decode.acc_seg": 72.52841, "aux.loss_seg": 0.10945, "aux.acc_seg": 71.06014, "loss": 0.32645, "time": 0.30491} +{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2029, "decode.acc_seg": 74.49496, "aux.loss_seg": 0.10186, "aux.acc_seg": 72.89488, "loss": 0.30476, "time": 0.30304} +{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.21177, "decode.acc_seg": 74.37675, "aux.loss_seg": 0.10523, "aux.acc_seg": 73.06989, "loss": 0.317, "time": 0.302} +{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.21259, "decode.acc_seg": 73.16637, "aux.loss_seg": 0.10717, "aux.acc_seg": 71.65805, "loss": 0.31976, "time": 0.30263} +{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.21448, "decode.acc_seg": 73.73055, "aux.loss_seg": 0.10659, "aux.acc_seg": 72.40263, "loss": 0.32107, "time": 0.30211} +{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.19015, "decode.acc_seg": 74.26839, "aux.loss_seg": 0.09622, "aux.acc_seg": 72.95182, "loss": 0.28637, "time": 0.30466} +{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.20468, "decode.acc_seg": 73.78483, "aux.loss_seg": 0.10154, "aux.acc_seg": 72.52637, "loss": 0.30622, "time": 0.30152} +{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.20367, "decode.acc_seg": 74.82567, "aux.loss_seg": 0.10221, "aux.acc_seg": 73.45255, "loss": 0.30587, "time": 0.30194} +{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.20722, "decode.acc_seg": 73.57251, "aux.loss_seg": 0.1048, "aux.acc_seg": 72.14784, "loss": 0.31202, "time": 0.30224} +{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.20511, "decode.acc_seg": 74.59245, "aux.loss_seg": 0.10147, "aux.acc_seg": 73.32833, "loss": 0.30658, "time": 0.30189} +{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.21274, "decode.acc_seg": 73.6961, "aux.loss_seg": 0.10529, "aux.acc_seg": 72.43357, "loss": 0.31803, "time": 0.30058} +{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 36160, "data_time": 0.17574, "decode.loss_seg": 0.209, "decode.acc_seg": 73.66614, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.27251, "loss": 0.31489, "time": 0.47154} +{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.20602, "decode.acc_seg": 75.12709, "aux.loss_seg": 0.10244, "aux.acc_seg": 73.82905, "loss": 0.30846, "time": 0.30026} +{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.20202, "decode.acc_seg": 74.47989, "aux.loss_seg": 0.10236, "aux.acc_seg": 73.01843, "loss": 0.30438, "time": 0.29964} +{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.20824, "decode.acc_seg": 73.84759, "aux.loss_seg": 0.10356, "aux.acc_seg": 72.50845, "loss": 0.3118, "time": 0.30081} +{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.2009, "decode.acc_seg": 74.84837, "aux.loss_seg": 0.10059, "aux.acc_seg": 73.57876, "loss": 0.30149, "time": 0.30001} +{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.20923, "decode.acc_seg": 73.09457, "aux.loss_seg": 0.10261, "aux.acc_seg": 71.85122, "loss": 0.31183, "time": 0.30039} +{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.19729, "decode.acc_seg": 72.97182, "aux.loss_seg": 0.10135, "aux.acc_seg": 71.54627, "loss": 0.29864, "time": 0.29984} +{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.19694, "decode.acc_seg": 74.83005, "aux.loss_seg": 0.09841, "aux.acc_seg": 73.58985, "loss": 0.29535, "time": 0.30313} +{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.19911, "decode.acc_seg": 73.7518, "aux.loss_seg": 0.10106, "aux.acc_seg": 72.38335, "loss": 0.30017, "time": 0.301} +{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.20534, "decode.acc_seg": 75.4077, "aux.loss_seg": 0.10298, "aux.acc_seg": 74.02723, "loss": 0.30832, "time": 0.30219} +{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.19626, "decode.acc_seg": 75.75681, "aux.loss_seg": 0.09776, "aux.acc_seg": 74.44544, "loss": 0.29402, "time": 0.30245} +{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.20018, "decode.acc_seg": 75.31673, "aux.loss_seg": 0.10027, "aux.acc_seg": 73.98402, "loss": 0.30045, "time": 0.30532} +{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.20009, "decode.acc_seg": 74.09098, "aux.loss_seg": 0.10048, "aux.acc_seg": 72.76807, "loss": 0.30057, "time": 0.30386} +{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.20477, "decode.acc_seg": 74.61433, "aux.loss_seg": 0.10328, "aux.acc_seg": 73.22775, "loss": 0.30805, "time": 0.30497} +{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.18791, "decode.acc_seg": 73.25779, "aux.loss_seg": 0.09518, "aux.acc_seg": 71.92061, "loss": 0.28309, "time": 0.30329} +{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.19787, "decode.acc_seg": 73.73806, "aux.loss_seg": 0.09979, "aux.acc_seg": 72.42005, "loss": 0.29766, "time": 0.30198} +{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.19113, "decode.acc_seg": 73.69419, "aux.loss_seg": 0.0967, "aux.acc_seg": 72.35816, "loss": 0.28784, "time": 0.30235} +{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.2037, "decode.acc_seg": 73.12437, "aux.loss_seg": 0.10084, "aux.acc_seg": 71.838, "loss": 0.30454, "time": 0.30376} +{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.19833, "decode.acc_seg": 74.65202, "aux.loss_seg": 0.0995, "aux.acc_seg": 73.4144, "loss": 0.29784, "time": 0.30413} +{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.20174, "decode.acc_seg": 74.38464, "aux.loss_seg": 0.09983, "aux.acc_seg": 73.12586, "loss": 0.30157, "time": 0.30391} +{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.19608, "decode.acc_seg": 73.65994, "aux.loss_seg": 0.09903, "aux.acc_seg": 72.26959, "loss": 0.29511, "time": 0.30272} +{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.19554, "decode.acc_seg": 73.43441, "aux.loss_seg": 0.09831, "aux.acc_seg": 72.09727, "loss": 0.29384, "time": 0.30143} +{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18946, "decode.acc_seg": 74.13622, "aux.loss_seg": 0.09512, "aux.acc_seg": 72.8251, "loss": 0.28458, "time": 0.30464} +{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.20187, "decode.acc_seg": 74.04123, "aux.loss_seg": 0.10149, "aux.acc_seg": 72.59588, "loss": 0.30336, "time": 0.30419} +{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.20247, "decode.acc_seg": 74.6927, "aux.loss_seg": 0.10031, "aux.acc_seg": 73.41086, "loss": 0.30278, "time": 0.3041} +{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 36160, "data_time": 0.18205, "decode.loss_seg": 0.20115, "decode.acc_seg": 73.85567, "aux.loss_seg": 0.10239, "aux.acc_seg": 72.45952, "loss": 0.30354, "time": 0.47895} +{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.19055, "decode.acc_seg": 73.55532, "aux.loss_seg": 0.09503, "aux.acc_seg": 72.29718, "loss": 0.28558, "time": 0.30144} +{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.20059, "decode.acc_seg": 74.0501, "aux.loss_seg": 0.10064, "aux.acc_seg": 72.75443, "loss": 0.30123, "time": 0.30148} +{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.20138, "decode.acc_seg": 74.27971, "aux.loss_seg": 0.10236, "aux.acc_seg": 72.86061, "loss": 0.30374, "time": 0.30081} +{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.19524, "decode.acc_seg": 75.31744, "aux.loss_seg": 0.09855, "aux.acc_seg": 74.02617, "loss": 0.29379, "time": 0.30026} +{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19741, "decode.acc_seg": 74.47021, "aux.loss_seg": 0.09981, "aux.acc_seg": 73.02276, "loss": 0.29723, "time": 0.30107} +{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.19882, "decode.acc_seg": 74.67344, "aux.loss_seg": 0.10164, "aux.acc_seg": 73.19938, "loss": 0.30046, "time": 0.30218} +{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.1925, "decode.acc_seg": 74.4594, "aux.loss_seg": 0.09717, "aux.acc_seg": 73.15268, "loss": 0.28967, "time": 0.30266} +{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.19776, "decode.acc_seg": 73.65423, "aux.loss_seg": 0.09956, "aux.acc_seg": 72.36355, "loss": 0.29731, "time": 0.30411} +{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.19708, "decode.acc_seg": 74.04822, "aux.loss_seg": 0.09822, "aux.acc_seg": 72.83694, "loss": 0.29531, "time": 0.30455} +{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20226, "decode.acc_seg": 73.79762, "aux.loss_seg": 0.10026, "aux.acc_seg": 72.52954, "loss": 0.30252, "time": 0.30413} +{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.19054, "decode.acc_seg": 73.06811, "aux.loss_seg": 0.09684, "aux.acc_seg": 71.65338, "loss": 0.28738, "time": 0.30301} +{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.18822, "decode.acc_seg": 72.78412, "aux.loss_seg": 0.09484, "aux.acc_seg": 71.46926, "loss": 0.28306, "time": 0.3017} +{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.19679, "decode.acc_seg": 74.98616, "aux.loss_seg": 0.10108, "aux.acc_seg": 73.57863, "loss": 0.29788, "time": 0.30198} +{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.18957, "decode.acc_seg": 73.79209, "aux.loss_seg": 0.095, "aux.acc_seg": 72.50528, "loss": 0.28457, "time": 0.3021} +{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.20286, "decode.acc_seg": 73.78897, "aux.loss_seg": 0.10176, "aux.acc_seg": 72.46987, "loss": 0.30462, "time": 0.30257} +{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.19117, "decode.acc_seg": 75.22538, "aux.loss_seg": 0.09654, "aux.acc_seg": 73.93299, "loss": 0.28771, "time": 0.30007} +{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.2033, "decode.acc_seg": 74.79021, "aux.loss_seg": 0.10263, "aux.acc_seg": 73.49468, "loss": 0.30592, "time": 0.30105} +{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.20293, "decode.acc_seg": 72.84973, "aux.loss_seg": 0.10177, "aux.acc_seg": 71.39408, "loss": 0.3047, "time": 0.30295} +{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.18784, "decode.acc_seg": 73.60347, "aux.loss_seg": 0.09354, "aux.acc_seg": 72.42703, "loss": 0.28137, "time": 0.30218} +{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.20645, "decode.acc_seg": 74.44421, "aux.loss_seg": 0.10276, "aux.acc_seg": 73.18611, "loss": 0.30921, "time": 0.30311} +{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.19193, "decode.acc_seg": 75.32045, "aux.loss_seg": 0.09651, "aux.acc_seg": 73.95819, "loss": 0.28843, "time": 0.30369} +{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.1989, "decode.acc_seg": 72.21211, "aux.loss_seg": 0.10013, "aux.acc_seg": 70.85995, "loss": 0.29903, "time": 0.30065} +{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.20594, "decode.acc_seg": 74.67112, "aux.loss_seg": 0.10558, "aux.acc_seg": 73.20782, "loss": 0.31153, "time": 0.30275} +{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.20261, "decode.acc_seg": 75.135, "aux.loss_seg": 0.10078, "aux.acc_seg": 73.83605, "loss": 0.30339, "time": 0.30414} +{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.19949, "decode.acc_seg": 73.1712, "aux.loss_seg": 0.10029, "aux.acc_seg": 71.89483, "loss": 0.29979, "time": 0.3028} +{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 36160, "data_time": 0.16098, "decode.loss_seg": 0.18899, "decode.acc_seg": 73.78642, "aux.loss_seg": 0.09604, "aux.acc_seg": 72.48202, "loss": 0.28503, "time": 0.45699} +{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.19683, "decode.acc_seg": 74.52065, "aux.loss_seg": 0.0994, "aux.acc_seg": 73.15812, "loss": 0.29623, "time": 0.30171} +{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.19254, "decode.acc_seg": 72.76917, "aux.loss_seg": 0.09816, "aux.acc_seg": 71.29249, "loss": 0.2907, "time": 0.30199} +{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.20553, "decode.acc_seg": 73.75563, "aux.loss_seg": 0.10215, "aux.acc_seg": 72.49846, "loss": 0.30768, "time": 0.30021} +{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20207, "decode.acc_seg": 74.58861, "aux.loss_seg": 0.10036, "aux.acc_seg": 73.27304, "loss": 0.30243, "time": 0.30049} +{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.1918, "decode.acc_seg": 74.76135, "aux.loss_seg": 0.0973, "aux.acc_seg": 73.45107, "loss": 0.2891, "time": 0.30018} +{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20799, "decode.acc_seg": 73.84483, "aux.loss_seg": 0.10462, "aux.acc_seg": 72.39064, "loss": 0.31262, "time": 0.30292} +{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.20251, "decode.acc_seg": 75.35789, "aux.loss_seg": 0.10354, "aux.acc_seg": 73.84397, "loss": 0.30605, "time": 0.30014} +{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.19794, "decode.acc_seg": 73.9178, "aux.loss_seg": 0.0998, "aux.acc_seg": 72.50506, "loss": 0.29775, "time": 0.30141} +{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.20916, "decode.acc_seg": 73.17501, "aux.loss_seg": 0.10339, "aux.acc_seg": 71.96113, "loss": 0.31255, "time": 0.30104} +{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.20703, "decode.acc_seg": 73.45887, "aux.loss_seg": 0.10348, "aux.acc_seg": 72.16432, "loss": 0.31051, "time": 0.30167} +{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.22089, "decode.acc_seg": 74.31871, "aux.loss_seg": 0.11022, "aux.acc_seg": 72.87624, "loss": 0.3311, "time": 0.30241} +{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.19321, "decode.acc_seg": 73.21137, "aux.loss_seg": 0.09786, "aux.acc_seg": 71.82867, "loss": 0.29107, "time": 0.30146} +{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.20351, "decode.acc_seg": 74.46165, "aux.loss_seg": 0.10329, "aux.acc_seg": 72.99925, "loss": 0.3068, "time": 0.30089} +{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.20287, "decode.acc_seg": 73.07221, "aux.loss_seg": 0.10326, "aux.acc_seg": 71.54077, "loss": 0.30612, "time": 0.30049} +{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.20129, "decode.acc_seg": 75.10907, "aux.loss_seg": 0.10159, "aux.acc_seg": 73.70215, "loss": 0.30288, "time": 0.30225} +{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.19977, "decode.acc_seg": 74.22117, "aux.loss_seg": 0.09981, "aux.acc_seg": 72.92158, "loss": 0.29958, "time": 0.30222} +{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19488, "decode.acc_seg": 73.41239, "aux.loss_seg": 0.09875, "aux.acc_seg": 72.04635, "loss": 0.29363, "time": 0.30092} +{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.18552, "decode.acc_seg": 75.21104, "aux.loss_seg": 0.09351, "aux.acc_seg": 73.92667, "loss": 0.27903, "time": 0.30101} +{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18553, "decode.acc_seg": 74.6112, "aux.loss_seg": 0.09388, "aux.acc_seg": 73.25782, "loss": 0.27941, "time": 0.30087} +{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.18844, "decode.acc_seg": 73.47895, "aux.loss_seg": 0.09418, "aux.acc_seg": 72.27023, "loss": 0.28262, "time": 0.30074} +{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.20447, "decode.acc_seg": 74.94723, "aux.loss_seg": 0.10231, "aux.acc_seg": 73.63868, "loss": 0.30678, "time": 0.30175} +{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.17894, "decode.acc_seg": 74.064, "aux.loss_seg": 0.09153, "aux.acc_seg": 72.78668, "loss": 0.27047, "time": 0.30099} +{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20242, "decode.acc_seg": 73.41427, "aux.loss_seg": 0.10244, "aux.acc_seg": 71.94545, "loss": 0.30485, "time": 0.30233} +{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.19901, "decode.acc_seg": 73.77034, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.3811, "loss": 0.29908, "time": 0.30159} +{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 36160, "data_time": 0.17076, "decode.loss_seg": 0.19257, "decode.acc_seg": 74.65159, "aux.loss_seg": 0.09728, "aux.acc_seg": 73.28304, "loss": 0.28985, "time": 0.46585} +{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.19791, "decode.acc_seg": 73.74241, "aux.loss_seg": 0.0981, "aux.acc_seg": 72.52081, "loss": 0.29602, "time": 0.30049} +{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.18871, "decode.acc_seg": 74.10534, "aux.loss_seg": 0.09554, "aux.acc_seg": 72.78056, "loss": 0.28425, "time": 0.29997} +{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18749, "decode.acc_seg": 73.92287, "aux.loss_seg": 0.09549, "aux.acc_seg": 72.57633, "loss": 0.28299, "time": 0.29917} +{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.18696, "decode.acc_seg": 74.57762, "aux.loss_seg": 0.09328, "aux.acc_seg": 73.34352, "loss": 0.28025, "time": 0.29934} +{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.19675, "decode.acc_seg": 74.85186, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.49088, "loss": 0.29536, "time": 0.30141} +{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.19991, "decode.acc_seg": 72.35986, "aux.loss_seg": 0.10005, "aux.acc_seg": 70.98917, "loss": 0.29996, "time": 0.30081} +{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.19654, "decode.acc_seg": 73.52638, "aux.loss_seg": 0.09818, "aux.acc_seg": 72.30071, "loss": 0.29472, "time": 0.30127} +{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.20927, "decode.acc_seg": 74.39517, "aux.loss_seg": 0.10461, "aux.acc_seg": 73.03659, "loss": 0.31389, "time": 0.30261} +{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.19162, "decode.acc_seg": 74.42658, "aux.loss_seg": 0.09557, "aux.acc_seg": 73.16227, "loss": 0.28719, "time": 0.30321} +{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.19948, "decode.acc_seg": 74.16418, "aux.loss_seg": 0.10154, "aux.acc_seg": 72.69499, "loss": 0.30101, "time": 0.30364} +{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.19674, "decode.acc_seg": 74.07814, "aux.loss_seg": 0.09815, "aux.acc_seg": 72.89059, "loss": 0.29489, "time": 0.30161} +{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19328, "decode.acc_seg": 74.87486, "aux.loss_seg": 0.09772, "aux.acc_seg": 73.48848, "loss": 0.291, "time": 0.30193} +{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.22592, "decode.acc_seg": 73.93057, "aux.loss_seg": 0.112, "aux.acc_seg": 72.50583, "loss": 0.33792, "time": 0.30336} +{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20556, "decode.acc_seg": 74.59142, "aux.loss_seg": 0.10221, "aux.acc_seg": 73.27424, "loss": 0.30777, "time": 0.30322} +{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.20562, "decode.acc_seg": 74.31779, "aux.loss_seg": 0.10358, "aux.acc_seg": 72.87133, "loss": 0.3092, "time": 0.30098} +{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.18916, "decode.acc_seg": 72.60704, "aux.loss_seg": 0.09578, "aux.acc_seg": 71.20839, "loss": 0.28494, "time": 0.30196} +{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20431, "decode.acc_seg": 72.87796, "aux.loss_seg": 0.10218, "aux.acc_seg": 71.52405, "loss": 0.3065, "time": 0.30142} +{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.20173, "decode.acc_seg": 74.18377, "aux.loss_seg": 0.10134, "aux.acc_seg": 72.66159, "loss": 0.30306, "time": 0.30269} +{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.19897, "decode.acc_seg": 73.37481, "aux.loss_seg": 0.10052, "aux.acc_seg": 72.04938, "loss": 0.29949, "time": 0.30314} +{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.1961, "decode.acc_seg": 73.2707, "aux.loss_seg": 0.10042, "aux.acc_seg": 71.81184, "loss": 0.29652, "time": 0.3003} +{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.19781, "decode.acc_seg": 73.34682, "aux.loss_seg": 0.10042, "aux.acc_seg": 71.97905, "loss": 0.29823, "time": 0.30061} +{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.18143, "decode.acc_seg": 74.44527, "aux.loss_seg": 0.08963, "aux.acc_seg": 73.37103, "loss": 0.27106, "time": 0.30039} +{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20482, "decode.acc_seg": 73.6249, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.24811, "loss": 0.30832, "time": 0.30182} +{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.18462, "decode.acc_seg": 73.7835, "aux.loss_seg": 0.0942, "aux.acc_seg": 72.43191, "loss": 0.27882, "time": 0.30214} +{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 36160, "data_time": 0.18047, "decode.loss_seg": 0.19976, "decode.acc_seg": 74.4842, "aux.loss_seg": 0.09845, "aux.acc_seg": 73.2535, "loss": 0.29821, "time": 0.47616} +{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.20247, "decode.acc_seg": 74.13645, "aux.loss_seg": 0.10105, "aux.acc_seg": 72.88592, "loss": 0.30352, "time": 0.30048} +{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.20039, "decode.acc_seg": 74.63119, "aux.loss_seg": 0.102, "aux.acc_seg": 73.34657, "loss": 0.30238, "time": 0.29937} +{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.19051, "decode.acc_seg": 73.27875, "aux.loss_seg": 0.09629, "aux.acc_seg": 71.85783, "loss": 0.2868, "time": 0.30008} +{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.19401, "decode.acc_seg": 74.06538, "aux.loss_seg": 0.09788, "aux.acc_seg": 72.65374, "loss": 0.2919, "time": 0.3001} +{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.199, "decode.acc_seg": 73.7302, "aux.loss_seg": 0.10092, "aux.acc_seg": 72.27202, "loss": 0.29992, "time": 0.29983} +{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.20447, "decode.acc_seg": 75.23648, "aux.loss_seg": 0.10223, "aux.acc_seg": 73.94216, "loss": 0.3067, "time": 0.30063} +{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.18803, "decode.acc_seg": 74.51878, "aux.loss_seg": 0.09426, "aux.acc_seg": 73.3224, "loss": 0.2823, "time": 0.29993} +{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.20242, "decode.acc_seg": 75.64543, "aux.loss_seg": 0.10114, "aux.acc_seg": 74.28783, "loss": 0.30356, "time": 0.30004} +{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.19553, "decode.acc_seg": 73.8126, "aux.loss_seg": 0.09747, "aux.acc_seg": 72.50712, "loss": 0.29301, "time": 0.29991} +{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.19846, "decode.acc_seg": 74.71665, "aux.loss_seg": 0.09933, "aux.acc_seg": 73.43396, "loss": 0.29779, "time": 0.30081} +{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.18843, "decode.acc_seg": 75.12886, "aux.loss_seg": 0.09505, "aux.acc_seg": 73.82017, "loss": 0.28348, "time": 0.30149} +{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.1945, "decode.acc_seg": 73.52137, "aux.loss_seg": 0.09723, "aux.acc_seg": 72.23441, "loss": 0.29173, "time": 0.29989} +{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.19214, "decode.acc_seg": 74.45989, "aux.loss_seg": 0.09908, "aux.acc_seg": 72.95294, "loss": 0.29121, "time": 0.29968} +{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20259, "decode.acc_seg": 75.36424, "aux.loss_seg": 0.10171, "aux.acc_seg": 73.92398, "loss": 0.30429, "time": 0.29943} +{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.19303, "decode.acc_seg": 73.72315, "aux.loss_seg": 0.09681, "aux.acc_seg": 72.49134, "loss": 0.28984, "time": 0.30064} +{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.18897, "decode.acc_seg": 74.17939, "aux.loss_seg": 0.09356, "aux.acc_seg": 73.08383, "loss": 0.28254, "time": 0.30057} +{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.19113, "decode.acc_seg": 76.49237, "aux.loss_seg": 0.09635, "aux.acc_seg": 75.20389, "loss": 0.28748, "time": 0.29934} +{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.19737, "decode.acc_seg": 74.12124, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.81426, "loss": 0.29744, "time": 0.30006} +{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.19546, "decode.acc_seg": 74.49606, "aux.loss_seg": 0.09852, "aux.acc_seg": 73.17315, "loss": 0.29398, "time": 0.30098} +{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.19908, "decode.acc_seg": 74.14095, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.81251, "loss": 0.29862, "time": 0.30046} +{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.18685, "decode.acc_seg": 74.7634, "aux.loss_seg": 0.0936, "aux.acc_seg": 73.48746, "loss": 0.28045, "time": 0.30003} +{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.20276, "decode.acc_seg": 73.71789, "aux.loss_seg": 0.10024, "aux.acc_seg": 72.46388, "loss": 0.303, "time": 0.30077} +{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.19504, "decode.acc_seg": 73.69425, "aux.loss_seg": 0.09815, "aux.acc_seg": 72.4212, "loss": 0.2932, "time": 0.30076} +{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.18931, "decode.acc_seg": 74.23302, "aux.loss_seg": 0.09612, "aux.acc_seg": 72.82238, "loss": 0.28543, "time": 0.30038} +{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 36160, "data_time": 0.18024, "decode.loss_seg": 0.19423, "decode.acc_seg": 72.68545, "aux.loss_seg": 0.09718, "aux.acc_seg": 71.49413, "loss": 0.2914, "time": 0.47552} +{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18702, "decode.acc_seg": 74.37791, "aux.loss_seg": 0.09565, "aux.acc_seg": 72.96615, "loss": 0.28268, "time": 0.3043} +{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.1996, "decode.acc_seg": 73.45996, "aux.loss_seg": 0.10074, "aux.acc_seg": 72.15241, "loss": 0.30034, "time": 0.3034} +{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.18021, "decode.acc_seg": 73.38474, "aux.loss_seg": 0.09188, "aux.acc_seg": 72.07665, "loss": 0.2721, "time": 0.3038} +{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.19625, "decode.acc_seg": 75.12305, "aux.loss_seg": 0.09973, "aux.acc_seg": 73.70604, "loss": 0.29598, "time": 0.30325} +{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.18922, "decode.acc_seg": 75.61168, "aux.loss_seg": 0.09507, "aux.acc_seg": 74.32128, "loss": 0.28429, "time": 0.30007} +{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.18925, "decode.acc_seg": 73.5074, "aux.loss_seg": 0.09367, "aux.acc_seg": 72.26254, "loss": 0.28291, "time": 0.30027} +{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.19643, "decode.acc_seg": 73.78826, "aux.loss_seg": 0.09857, "aux.acc_seg": 72.42548, "loss": 0.29501, "time": 0.30291} +{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.18092, "decode.acc_seg": 72.70126, "aux.loss_seg": 0.09255, "aux.acc_seg": 71.40127, "loss": 0.27347, "time": 0.3022} +{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.19265, "decode.acc_seg": 74.41406, "aux.loss_seg": 0.09811, "aux.acc_seg": 73.00924, "loss": 0.29076, "time": 0.30215} +{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.18738, "decode.acc_seg": 73.97896, "aux.loss_seg": 0.09704, "aux.acc_seg": 72.53407, "loss": 0.28442, "time": 0.30138} +{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.2018, "decode.acc_seg": 75.01555, "aux.loss_seg": 0.09996, "aux.acc_seg": 73.73729, "loss": 0.30176, "time": 0.30147} +{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.19548, "decode.acc_seg": 74.95425, "aux.loss_seg": 0.10247, "aux.acc_seg": 73.31148, "loss": 0.29795, "time": 0.30134} +{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.18676, "decode.acc_seg": 73.75761, "aux.loss_seg": 0.09344, "aux.acc_seg": 72.4707, "loss": 0.2802, "time": 0.30126} +{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.1969, "decode.acc_seg": 74.6168, "aux.loss_seg": 0.10008, "aux.acc_seg": 73.23332, "loss": 0.29698, "time": 0.30041} +{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.18419, "decode.acc_seg": 72.68371, "aux.loss_seg": 0.09422, "aux.acc_seg": 71.26944, "loss": 0.27842, "time": 0.30213} +{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.20725, "decode.acc_seg": 73.52574, "aux.loss_seg": 0.10458, "aux.acc_seg": 72.19959, "loss": 0.31184, "time": 0.30246} +{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.19079, "decode.acc_seg": 73.1087, "aux.loss_seg": 0.09533, "aux.acc_seg": 71.79543, "loss": 0.28612, "time": 0.30317} +{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.19351, "decode.acc_seg": 74.7853, "aux.loss_seg": 0.09938, "aux.acc_seg": 73.3728, "loss": 0.29289, "time": 0.30193} +{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18605, "decode.acc_seg": 73.81841, "aux.loss_seg": 0.0952, "aux.acc_seg": 72.42066, "loss": 0.28125, "time": 0.30133} +{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.19302, "decode.acc_seg": 73.17886, "aux.loss_seg": 0.10056, "aux.acc_seg": 71.66697, "loss": 0.29359, "time": 0.30393} +{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.18919, "decode.acc_seg": 72.92626, "aux.loss_seg": 0.09632, "aux.acc_seg": 71.51489, "loss": 0.28551, "time": 0.30146} +{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.19668, "decode.acc_seg": 74.04236, "aux.loss_seg": 0.0996, "aux.acc_seg": 72.59451, "loss": 0.29628, "time": 0.30171} +{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.19339, "decode.acc_seg": 74.45969, "aux.loss_seg": 0.09671, "aux.acc_seg": 73.22775, "loss": 0.29009, "time": 0.30079} +{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.18454, "decode.acc_seg": 73.88825, "aux.loss_seg": 0.09249, "aux.acc_seg": 72.60216, "loss": 0.27703, "time": 0.30126} +{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.18893, "decode.acc_seg": 74.55124, "aux.loss_seg": 0.095, "aux.acc_seg": 73.29445, "loss": 0.28393, "time": 0.30107} +{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 36160, "data_time": 0.18021, "decode.loss_seg": 0.18351, "decode.acc_seg": 73.91462, "aux.loss_seg": 0.09235, "aux.acc_seg": 72.61017, "loss": 0.27586, "time": 0.47558} +{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.19902, "decode.acc_seg": 74.19989, "aux.loss_seg": 0.09947, "aux.acc_seg": 72.81035, "loss": 0.29849, "time": 0.30062} +{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.18999, "decode.acc_seg": 74.47666, "aux.loss_seg": 0.09541, "aux.acc_seg": 73.13655, "loss": 0.2854, "time": 0.30106} +{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.18799, "decode.acc_seg": 74.78819, "aux.loss_seg": 0.09503, "aux.acc_seg": 73.50096, "loss": 0.28301, "time": 0.30303} +{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.19289, "decode.acc_seg": 74.89042, "aux.loss_seg": 0.0974, "aux.acc_seg": 73.54192, "loss": 0.29029, "time": 0.30265} +{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.18061, "decode.acc_seg": 75.26992, "aux.loss_seg": 0.09192, "aux.acc_seg": 73.96886, "loss": 0.27253, "time": 0.29961} +{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.18001, "decode.acc_seg": 74.7448, "aux.loss_seg": 0.09156, "aux.acc_seg": 73.37146, "loss": 0.27157, "time": 0.30063} +{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.18054, "decode.acc_seg": 73.61526, "aux.loss_seg": 0.09187, "aux.acc_seg": 72.28687, "loss": 0.2724, "time": 0.30062} +{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.19199, "decode.acc_seg": 74.99939, "aux.loss_seg": 0.09615, "aux.acc_seg": 73.81009, "loss": 0.28814, "time": 0.30089} +{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.18897, "decode.acc_seg": 75.34799, "aux.loss_seg": 0.09702, "aux.acc_seg": 73.83722, "loss": 0.28598, "time": 0.30406} +{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.18922, "decode.acc_seg": 75.38298, "aux.loss_seg": 0.09323, "aux.acc_seg": 74.21989, "loss": 0.28245, "time": 0.30238} +{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.19024, "decode.acc_seg": 73.38173, "aux.loss_seg": 0.09911, "aux.acc_seg": 71.934, "loss": 0.28936, "time": 0.30063} +{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.18781, "decode.acc_seg": 73.12223, "aux.loss_seg": 0.09437, "aux.acc_seg": 71.94748, "loss": 0.28218, "time": 0.30077} +{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.20736, "decode.acc_seg": 74.94951, "aux.loss_seg": 0.10396, "aux.acc_seg": 73.62871, "loss": 0.31132, "time": 0.30188} +{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.18704, "decode.acc_seg": 73.4733, "aux.loss_seg": 0.09479, "aux.acc_seg": 72.20836, "loss": 0.28184, "time": 0.30191} +{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.18983, "decode.acc_seg": 73.41019, "aux.loss_seg": 0.09683, "aux.acc_seg": 72.07868, "loss": 0.28667, "time": 0.3017} +{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.19171, "decode.acc_seg": 76.11082, "aux.loss_seg": 0.09703, "aux.acc_seg": 74.83219, "loss": 0.28874, "time": 0.30251} +{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.19698, "decode.acc_seg": 76.01444, "aux.loss_seg": 0.09927, "aux.acc_seg": 74.71135, "loss": 0.29625, "time": 0.30037} +{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18866, "decode.acc_seg": 73.83267, "aux.loss_seg": 0.0946, "aux.acc_seg": 72.55669, "loss": 0.28327, "time": 0.30086} +{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18494, "decode.acc_seg": 74.56368, "aux.loss_seg": 0.09334, "aux.acc_seg": 73.22993, "loss": 0.27828, "time": 0.30239} +{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.18926, "decode.acc_seg": 73.39385, "aux.loss_seg": 0.09636, "aux.acc_seg": 72.03849, "loss": 0.28562, "time": 0.30173} +{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.19156, "decode.acc_seg": 75.418, "aux.loss_seg": 0.09687, "aux.acc_seg": 74.02008, "loss": 0.28843, "time": 0.30127} +{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.1799, "decode.acc_seg": 75.62872, "aux.loss_seg": 0.09119, "aux.acc_seg": 74.34611, "loss": 0.27109, "time": 0.30219} +{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19305, "decode.acc_seg": 73.05684, "aux.loss_seg": 0.09622, "aux.acc_seg": 71.76715, "loss": 0.28927, "time": 0.30195} +{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.19499, "decode.acc_seg": 74.92594, "aux.loss_seg": 0.09878, "aux.acc_seg": 73.60473, "loss": 0.29377, "time": 0.30372} +{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 36160, "data_time": 0.14613, "decode.loss_seg": 0.19226, "decode.acc_seg": 74.78228, "aux.loss_seg": 0.09719, "aux.acc_seg": 73.43509, "loss": 0.28945, "time": 0.46} +{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18976, "decode.acc_seg": 75.39039, "aux.loss_seg": 0.09665, "aux.acc_seg": 74.04548, "loss": 0.28641, "time": 0.30155} +{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.18682, "decode.acc_seg": 76.4242, "aux.loss_seg": 0.09488, "aux.acc_seg": 75.12755, "loss": 0.28169, "time": 0.30258} +{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.18633, "decode.acc_seg": 75.52465, "aux.loss_seg": 0.09487, "aux.acc_seg": 74.2054, "loss": 0.2812, "time": 0.30244} +{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.19721, "decode.acc_seg": 74.98991, "aux.loss_seg": 0.10024, "aux.acc_seg": 73.60775, "loss": 0.29745, "time": 0.30107} +{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.19249, "decode.acc_seg": 75.33025, "aux.loss_seg": 0.09823, "aux.acc_seg": 73.98109, "loss": 0.29071, "time": 0.30159} +{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19929, "decode.acc_seg": 73.00755, "aux.loss_seg": 0.10068, "aux.acc_seg": 71.57952, "loss": 0.29997, "time": 0.30217} +{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18514, "decode.acc_seg": 74.41263, "aux.loss_seg": 0.09529, "aux.acc_seg": 72.93741, "loss": 0.28043, "time": 0.30217} +{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.19135, "decode.acc_seg": 75.4254, "aux.loss_seg": 0.09614, "aux.acc_seg": 74.08099, "loss": 0.2875, "time": 0.30272} +{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.18199, "decode.acc_seg": 72.93806, "aux.loss_seg": 0.09341, "aux.acc_seg": 71.6119, "loss": 0.2754, "time": 0.30359} +{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19057, "decode.acc_seg": 74.11836, "aux.loss_seg": 0.09585, "aux.acc_seg": 72.85868, "loss": 0.28642, "time": 0.30172} +{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.20267, "decode.acc_seg": 74.33588, "aux.loss_seg": 0.10037, "aux.acc_seg": 72.99491, "loss": 0.30304, "time": 0.30274} +{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17773, "decode.acc_seg": 72.82641, "aux.loss_seg": 0.0899, "aux.acc_seg": 71.63692, "loss": 0.26764, "time": 0.30141} +{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18578, "decode.acc_seg": 74.94845, "aux.loss_seg": 0.09449, "aux.acc_seg": 73.63697, "loss": 0.28027, "time": 0.3013} +{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.18783, "decode.acc_seg": 74.94048, "aux.loss_seg": 0.09546, "aux.acc_seg": 73.59668, "loss": 0.28329, "time": 0.30156} +{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.1869, "decode.acc_seg": 74.45389, "aux.loss_seg": 0.09406, "aux.acc_seg": 73.20326, "loss": 0.28096, "time": 0.29993} +{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19012, "decode.acc_seg": 73.81226, "aux.loss_seg": 0.09652, "aux.acc_seg": 72.50752, "loss": 0.28665, "time": 0.30016} +{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.19673, "decode.acc_seg": 74.13908, "aux.loss_seg": 0.09961, "aux.acc_seg": 72.75039, "loss": 0.29634, "time": 0.30096} +{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.19119, "decode.acc_seg": 74.80156, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.49613, "loss": 0.28739, "time": 0.30028} +{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.18998, "decode.acc_seg": 74.15463, "aux.loss_seg": 0.09638, "aux.acc_seg": 72.8269, "loss": 0.28636, "time": 0.30232} +{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.19285, "decode.acc_seg": 73.8672, "aux.loss_seg": 0.09899, "aux.acc_seg": 72.35396, "loss": 0.29184, "time": 0.30181} +{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.19221, "decode.acc_seg": 75.6313, "aux.loss_seg": 0.0958, "aux.acc_seg": 74.34476, "loss": 0.28801, "time": 0.30259} +{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.19233, "decode.acc_seg": 73.74913, "aux.loss_seg": 0.10017, "aux.acc_seg": 72.22045, "loss": 0.2925, "time": 0.30488} +{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.18282, "decode.acc_seg": 74.3891, "aux.loss_seg": 0.09357, "aux.acc_seg": 73.0282, "loss": 0.27639, "time": 0.30212} +{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.184, "decode.acc_seg": 73.8607, "aux.loss_seg": 0.09347, "aux.acc_seg": 72.62654, "loss": 0.27747, "time": 0.302} +{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4782, "mAcc": 0.5984, "aAcc": 0.8224, "IoU.wall": 0.7666, "IoU.building": 0.8207, "IoU.sky": 0.9391, "IoU.floor": 0.8082, "IoU.tree": 0.7202, "IoU.ceiling": 0.8364, "IoU.road": 0.8132, "IoU.bed ": 0.8669, "IoU.windowpane": 0.5886, "IoU.grass": 0.6683, "IoU.cabinet": 0.5999, "IoU.sidewalk": 0.6445, "IoU.person": 0.7792, "IoU.earth": 0.3498, "IoU.door": 0.4682, "IoU.table": 0.5845, "IoU.mountain": 0.5847, "IoU.plant": 0.5286, "IoU.curtain": 0.7064, "IoU.chair": 0.5371, "IoU.car": 0.8314, "IoU.water": 0.4968, "IoU.painting": 0.7182, "IoU.sofa": 0.5999, "IoU.shelf": 0.4078, "IoU.house": 0.4873, "IoU.sea": 0.5402, "IoU.mirror": 0.6309, "IoU.rug": 0.6366, "IoU.field": 0.286, "IoU.armchair": 0.4022, "IoU.seat": 0.5943, "IoU.fence": 0.4186, "IoU.desk": 0.4931, "IoU.rock": 0.4346, "IoU.wardrobe": 0.4946, "IoU.lamp": 0.5994, "IoU.bathtub": 0.7495, "IoU.railing": 0.3485, "IoU.cushion": 0.5605, "IoU.base": 0.3039, "IoU.box": 0.2726, "IoU.column": 0.422, "IoU.signboard": 0.3557, "IoU.chest of drawers": 0.4047, "IoU.counter": 0.3248, "IoU.sand": 0.4827, "IoU.sink": 0.6841, "IoU.skyscraper": 0.6548, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7003, "IoU.grandstand": 0.4292, "IoU.path": 0.2677, "IoU.stairs": 0.2579, "IoU.runway": 0.6579, "IoU.case": 0.4064, "IoU.pool table": 0.9137, "IoU.pillow": 0.5002, "IoU.screen door": 0.6274, "IoU.stairway": 0.3051, "IoU.river": 0.0904, "IoU.bridge": 0.7416, "IoU.bookcase": 0.3998, "IoU.blind": NaN, "IoU.coffee table": 0.5265, "IoU.toilet": 0.8225, "IoU.flower": 0.447, "IoU.book": 0.4332, "IoU.hill": 0.1299, "IoU.bench": 0.4219, "IoU.countertop": 0.5553, "IoU.stove": 0.7268, "IoU.palm": 0.5045, "IoU.kitchen island": 0.3942, "IoU.computer": 0.5988, "IoU.swivel chair": 0.4454, "IoU.boat": 0.4081, "IoU.bar": 0.4266, "IoU.arcade machine": 0.4712, "IoU.hovel": 0.3162, "IoU.bus": 0.8718, "IoU.towel": 0.6687, "IoU.light": 0.5335, "IoU.truck": 0.2561, "IoU.tower": 0.0444, "IoU.chandelier": 0.6248, "IoU.awning": 0.2709, "IoU.streetlight": 0.223, "IoU.booth": 0.5881, "IoU.television receiver": NaN, "IoU.airplane": 0.6044, "IoU.dirt track": 0.0051, "IoU.apparel": 0.3337, "IoU.pole": 0.1792, "IoU.land": 0.0247, "IoU.bannister": 0.0664, "IoU.escalator": 0.3869, "IoU.ottoman": 0.3846, "IoU.bottle": NaN, "IoU.buffet": 0.5011, "IoU.poster": 0.3274, "IoU.stage": 0.1703, "IoU.van": 0.3998, "IoU.ship": 0.5976, "IoU.fountain": 0.2094, "IoU.conveyer belt": 0.7857, "IoU.canopy": 0.2273, "IoU.washer": 0.7295, "IoU.plaything": 0.1855, "IoU.swimming pool": 0.6751, "IoU.stool": 0.3993, "IoU.barrel": 0.4844, "IoU.basket": 0.3555, "IoU.waterfall": 0.4739, "IoU.tent": 0.8871, "IoU.bag": 0.1109, "IoU.minibike": 0.7043, "IoU.cradle": NaN, "IoU.oven": 0.4186, "IoU.ball": 0.4298, "IoU.food": 0.3353, "IoU.step": 0.0542, "IoU.tank": 0.5234, "IoU.trade name": 0.254, "IoU.microwave": 0.7174, "IoU.pot": 0.5257, "IoU.animal": NaN, "IoU.bicycle": 0.5289, "IoU.lake": 0.4032, "IoU.dishwasher": 0.5485, "IoU.screen": 0.6881, "IoU.blanket": 0.1271, "IoU.sculpture": 0.5885, "IoU.hood": 0.5618, "IoU.sconce": 0.4603, "IoU.vase": 0.3422, "IoU.traffic light": 0.2802, "IoU.tray": 0.0705, "IoU.ashcan": 0.4071, "IoU.fan": 0.6024, "IoU.pier": 0.3343, "IoU.crt screen": 0.0014, "IoU.plate": 0.5834, "IoU.monitor": 0.5229, "IoU.bulletin board": 0.4417, "IoU.shower": 0.0065, "IoU.radiator": 0.6027, "IoU.glass": 0.1371, "IoU.clock": 0.4223, "IoU.flag": 0.4784, "Acc.wall": 0.8725, "Acc.building": 0.926, "Acc.sky": 0.9728, "Acc.floor": 0.8945, "Acc.tree": 0.8584, "Acc.ceiling": 0.9205, "Acc.road": 0.901, "Acc.bed ": 0.9517, "Acc.windowpane": 0.7968, "Acc.grass": 0.8376, "Acc.cabinet": 0.7531, "Acc.sidewalk": 0.802, "Acc.person": 0.9005, "Acc.earth": 0.4405, "Acc.door": 0.6029, "Acc.table": 0.7531, "Acc.mountain": 0.716, "Acc.plant": 0.6304, "Acc.curtain": 0.8213, "Acc.chair": 0.6537, "Acc.car": 0.9148, "Acc.water": 0.6363, "Acc.painting": 0.847, "Acc.sofa": 0.7797, "Acc.shelf": 0.5781, "Acc.house": 0.6207, "Acc.sea": 0.702, "Acc.mirror": 0.7202, "Acc.rug": 0.7608, "Acc.field": 0.458, "Acc.armchair": 0.6259, "Acc.seat": 0.7817, "Acc.fence": 0.6026, "Acc.desk": 0.6708, "Acc.rock": 0.7065, "Acc.wardrobe": 0.6367, "Acc.lamp": 0.7356, "Acc.bathtub": 0.8079, "Acc.railing": 0.5367, "Acc.cushion": 0.7258, "Acc.base": 0.4002, "Acc.box": 0.3694, "Acc.column": 0.5325, "Acc.signboard": 0.5, "Acc.chest of drawers": 0.5448, "Acc.counter": 0.4231, "Acc.sand": 0.7352, "Acc.sink": 0.8089, "Acc.skyscraper": 0.8521, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8004, "Acc.grandstand": 0.7058, "Acc.path": 0.367, "Acc.stairs": 0.3163, "Acc.runway": 0.8806, "Acc.case": 0.5234, "Acc.pool table": 0.9657, "Acc.pillow": 0.5589, "Acc.screen door": 0.7367, "Acc.stairway": 0.4286, "Acc.river": 0.3005, "Acc.bridge": 0.8321, "Acc.bookcase": 0.5098, "Acc.blind": NaN, "Acc.coffee table": 0.8037, "Acc.toilet": 0.8959, "Acc.flower": 0.6003, "Acc.book": 0.6442, "Acc.hill": 0.2244, "Acc.bench": 0.534, "Acc.countertop": 0.7027, "Acc.stove": 0.8342, "Acc.palm": 0.7465, "Acc.kitchen island": 0.7353, "Acc.computer": 0.7201, "Acc.swivel chair": 0.6873, "Acc.boat": 0.4855, "Acc.bar": 0.531, "Acc.arcade machine": 0.5025, "Acc.hovel": 0.3371, "Acc.bus": 0.9451, "Acc.towel": 0.8002, "Acc.light": 0.5953, "Acc.truck": 0.3417, "Acc.tower": 0.0728, "Acc.chandelier": 0.8084, "Acc.awning": 0.3618, "Acc.streetlight": 0.2957, "Acc.booth": 0.686, "Acc.television receiver": NaN, "Acc.airplane": 0.7441, "Acc.dirt track": 0.0068, "Acc.apparel": 0.5336, "Acc.pole": 0.2527, "Acc.land": 0.037, "Acc.bannister": 0.0874, "Acc.escalator": 0.4613, "Acc.ottoman": 0.5504, "Acc.bottle": NaN, "Acc.buffet": 0.6034, "Acc.poster": 0.4344, "Acc.stage": 0.2459, "Acc.van": 0.5181, "Acc.ship": 0.8729, "Acc.fountain": 0.2148, "Acc.conveyer belt": 0.9178, "Acc.canopy": 0.3944, "Acc.washer": 0.7738, "Acc.plaything": 0.3154, "Acc.swimming pool": 0.7715, "Acc.stool": 0.5212, "Acc.barrel": 0.683, "Acc.basket": 0.4568, "Acc.waterfall": 0.6305, "Acc.tent": 0.9821, "Acc.bag": 0.1443, "Acc.minibike": 0.8564, "Acc.cradle": NaN, "Acc.oven": 0.6604, "Acc.ball": 0.464, "Acc.food": 0.3851, "Acc.step": 0.0596, "Acc.tank": 0.6141, "Acc.trade name": 0.2794, "Acc.microwave": 0.7953, "Acc.pot": 0.5884, "Acc.animal": NaN, "Acc.bicycle": 0.7753, "Acc.lake": 0.4515, "Acc.dishwasher": 0.6659, "Acc.screen": 0.9148, "Acc.blanket": 0.1508, "Acc.sculpture": 0.7145, "Acc.hood": 0.6629, "Acc.sconce": 0.5725, "Acc.vase": 0.5122, "Acc.traffic light": 0.4011, "Acc.tray": 0.1585, "Acc.ashcan": 0.526, "Acc.fan": 0.7401, "Acc.pier": 0.4498, "Acc.crt screen": 0.0033, "Acc.plate": 0.742, "Acc.monitor": 0.587, "Acc.bulletin board": 0.5128, "Acc.shower": 0.0205, "Acc.radiator": 0.7439, "Acc.glass": 0.1467, "Acc.clock": 0.4985, "Acc.flag": 0.5322} +{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 36160, "data_time": 1.44234, "decode.loss_seg": 0.177, "decode.acc_seg": 73.04852, "aux.loss_seg": 0.09085, "aux.acc_seg": 71.70625, "loss": 0.26785, "time": 1.73976} +{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18489, "decode.acc_seg": 74.3049, "aux.loss_seg": 0.09499, "aux.acc_seg": 72.87202, "loss": 0.27988, "time": 0.30072} +{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19438, "decode.acc_seg": 73.59722, "aux.loss_seg": 0.09825, "aux.acc_seg": 72.2717, "loss": 0.29263, "time": 0.30012} +{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.19184, "decode.acc_seg": 73.51438, "aux.loss_seg": 0.09651, "aux.acc_seg": 72.21299, "loss": 0.28835, "time": 0.29945} +{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.19576, "decode.acc_seg": 75.73926, "aux.loss_seg": 0.10045, "aux.acc_seg": 74.35096, "loss": 0.2962, "time": 0.29937} +{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.18773, "decode.acc_seg": 75.16971, "aux.loss_seg": 0.09613, "aux.acc_seg": 73.73962, "loss": 0.28385, "time": 0.30052} +{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.18862, "decode.acc_seg": 75.39795, "aux.loss_seg": 0.09558, "aux.acc_seg": 74.00748, "loss": 0.2842, "time": 0.30278} +{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.19675, "decode.acc_seg": 74.80246, "aux.loss_seg": 0.09798, "aux.acc_seg": 73.5114, "loss": 0.29473, "time": 0.30323} +{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.19448, "decode.acc_seg": 74.41006, "aux.loss_seg": 0.09842, "aux.acc_seg": 73.04501, "loss": 0.29291, "time": 0.30298} +{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19632, "decode.acc_seg": 75.11489, "aux.loss_seg": 0.09828, "aux.acc_seg": 73.69515, "loss": 0.2946, "time": 0.30253} +{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.19362, "decode.acc_seg": 74.04116, "aux.loss_seg": 0.09801, "aux.acc_seg": 72.63053, "loss": 0.29163, "time": 0.30049} +{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.19529, "decode.acc_seg": 75.24225, "aux.loss_seg": 0.10047, "aux.acc_seg": 73.69583, "loss": 0.29576, "time": 0.30137} +{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.17821, "decode.acc_seg": 73.44122, "aux.loss_seg": 0.09196, "aux.acc_seg": 72.048, "loss": 0.27017, "time": 0.30474} +{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.19392, "decode.acc_seg": 74.53155, "aux.loss_seg": 0.09751, "aux.acc_seg": 73.2222, "loss": 0.29144, "time": 0.30344} +{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.18944, "decode.acc_seg": 73.15798, "aux.loss_seg": 0.0963, "aux.acc_seg": 71.75535, "loss": 0.28575, "time": 0.30114} +{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18867, "decode.acc_seg": 74.04856, "aux.loss_seg": 0.09472, "aux.acc_seg": 72.724, "loss": 0.28339, "time": 0.30071} +{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.18375, "decode.acc_seg": 73.67324, "aux.loss_seg": 0.0944, "aux.acc_seg": 72.26792, "loss": 0.27815, "time": 0.30301} +{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.18682, "decode.acc_seg": 73.09809, "aux.loss_seg": 0.09264, "aux.acc_seg": 71.8681, "loss": 0.27946, "time": 0.30387} +{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.18979, "decode.acc_seg": 73.82459, "aux.loss_seg": 0.09572, "aux.acc_seg": 72.52163, "loss": 0.28551, "time": 0.30513} +{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.18231, "decode.acc_seg": 76.68077, "aux.loss_seg": 0.09348, "aux.acc_seg": 75.27126, "loss": 0.27579, "time": 0.30292} +{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.18228, "decode.acc_seg": 73.86599, "aux.loss_seg": 0.0922, "aux.acc_seg": 72.66696, "loss": 0.27449, "time": 0.30244} +{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.18449, "decode.acc_seg": 75.01227, "aux.loss_seg": 0.0947, "aux.acc_seg": 73.68136, "loss": 0.27919, "time": 0.30131} +{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.20219, "decode.acc_seg": 75.1533, "aux.loss_seg": 0.1013, "aux.acc_seg": 73.79062, "loss": 0.30349, "time": 0.30093} +{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.19264, "decode.acc_seg": 74.89532, "aux.loss_seg": 0.09736, "aux.acc_seg": 73.4803, "loss": 0.28999, "time": 0.30416} +{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.18187, "decode.acc_seg": 74.68796, "aux.loss_seg": 0.0929, "aux.acc_seg": 73.37791, "loss": 0.27477, "time": 0.30328} +{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 36160, "data_time": 0.1797, "decode.loss_seg": 0.19404, "decode.acc_seg": 75.24742, "aux.loss_seg": 0.09808, "aux.acc_seg": 73.89469, "loss": 0.29212, "time": 0.47628} +{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.18089, "decode.acc_seg": 74.7548, "aux.loss_seg": 0.09232, "aux.acc_seg": 73.45247, "loss": 0.27321, "time": 0.29959} +{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18224, "decode.acc_seg": 74.19675, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.79123, "loss": 0.27583, "time": 0.30072} +{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.1868, "decode.acc_seg": 73.90109, "aux.loss_seg": 0.09486, "aux.acc_seg": 72.61734, "loss": 0.28166, "time": 0.30037} +{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.17861, "decode.acc_seg": 75.82493, "aux.loss_seg": 0.0914, "aux.acc_seg": 74.48032, "loss": 0.27001, "time": 0.30088} +{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.1878, "decode.acc_seg": 74.48692, "aux.loss_seg": 0.0935, "aux.acc_seg": 73.2213, "loss": 0.28129, "time": 0.30046} +{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.18834, "decode.acc_seg": 73.8588, "aux.loss_seg": 0.09473, "aux.acc_seg": 72.5027, "loss": 0.28308, "time": 0.30172} +{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.19009, "decode.acc_seg": 76.08649, "aux.loss_seg": 0.0993, "aux.acc_seg": 74.46114, "loss": 0.28939, "time": 0.30312} +{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.18007, "decode.acc_seg": 75.27863, "aux.loss_seg": 0.09204, "aux.acc_seg": 73.949, "loss": 0.27211, "time": 0.30341} +{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.19032, "decode.acc_seg": 75.63116, "aux.loss_seg": 0.09604, "aux.acc_seg": 74.25953, "loss": 0.28636, "time": 0.30289} +{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18302, "decode.acc_seg": 74.34802, "aux.loss_seg": 0.09171, "aux.acc_seg": 73.12106, "loss": 0.27472, "time": 0.30208} +{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18193, "decode.acc_seg": 74.55646, "aux.loss_seg": 0.09247, "aux.acc_seg": 73.27603, "loss": 0.2744, "time": 0.30198} +{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.18542, "decode.acc_seg": 74.76241, "aux.loss_seg": 0.09519, "aux.acc_seg": 73.33721, "loss": 0.2806, "time": 0.30242} +{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18455, "decode.acc_seg": 74.62879, "aux.loss_seg": 0.0961, "aux.acc_seg": 73.1638, "loss": 0.28065, "time": 0.3017} +{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.18271, "decode.acc_seg": 75.2156, "aux.loss_seg": 0.09395, "aux.acc_seg": 73.8929, "loss": 0.27666, "time": 0.30237} +{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.18638, "decode.acc_seg": 74.07386, "aux.loss_seg": 0.09615, "aux.acc_seg": 72.61536, "loss": 0.28253, "time": 0.30303} +{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18648, "decode.acc_seg": 75.04114, "aux.loss_seg": 0.09449, "aux.acc_seg": 73.7024, "loss": 0.28098, "time": 0.30186} +{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.17943, "decode.acc_seg": 73.98246, "aux.loss_seg": 0.09323, "aux.acc_seg": 72.55318, "loss": 0.27266, "time": 0.30172} +{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18184, "decode.acc_seg": 74.45122, "aux.loss_seg": 0.09011, "aux.acc_seg": 73.26209, "loss": 0.27195, "time": 0.30199} +{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.19379, "decode.acc_seg": 74.49821, "aux.loss_seg": 0.09647, "aux.acc_seg": 73.20571, "loss": 0.29026, "time": 0.30109} +{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.17883, "decode.acc_seg": 73.65878, "aux.loss_seg": 0.08963, "aux.acc_seg": 72.43224, "loss": 0.26846, "time": 0.30129} +{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18167, "decode.acc_seg": 74.0191, "aux.loss_seg": 0.09122, "aux.acc_seg": 72.79077, "loss": 0.2729, "time": 0.30153} +{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.17719, "decode.acc_seg": 74.12063, "aux.loss_seg": 0.09035, "aux.acc_seg": 72.89678, "loss": 0.26755, "time": 0.30106} +{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.18773, "decode.acc_seg": 75.67975, "aux.loss_seg": 0.0954, "aux.acc_seg": 74.39562, "loss": 0.28313, "time": 0.30054} +{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18483, "decode.acc_seg": 73.12168, "aux.loss_seg": 0.09474, "aux.acc_seg": 71.72248, "loss": 0.27957, "time": 0.30054} +{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 36160, "data_time": 0.16895, "decode.loss_seg": 0.18456, "decode.acc_seg": 74.99406, "aux.loss_seg": 0.09353, "aux.acc_seg": 73.69476, "loss": 0.27809, "time": 0.46373} +{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.19076, "decode.acc_seg": 75.15524, "aux.loss_seg": 0.09665, "aux.acc_seg": 73.84296, "loss": 0.2874, "time": 0.30096} +{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.18308, "decode.acc_seg": 75.1579, "aux.loss_seg": 0.09137, "aux.acc_seg": 73.95833, "loss": 0.27445, "time": 0.30008} +{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.18855, "decode.acc_seg": 75.17968, "aux.loss_seg": 0.09552, "aux.acc_seg": 73.74461, "loss": 0.28407, "time": 0.29953} +{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.19507, "decode.acc_seg": 75.64038, "aux.loss_seg": 0.09876, "aux.acc_seg": 74.32733, "loss": 0.29383, "time": 0.30115} +{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.18465, "decode.acc_seg": 74.70357, "aux.loss_seg": 0.09403, "aux.acc_seg": 73.34057, "loss": 0.27869, "time": 0.30065} +{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.16805, "decode.acc_seg": 73.19466, "aux.loss_seg": 0.08745, "aux.acc_seg": 71.80984, "loss": 0.2555, "time": 0.3021} +{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.17776, "decode.acc_seg": 74.3443, "aux.loss_seg": 0.09127, "aux.acc_seg": 73.00394, "loss": 0.26903, "time": 0.30155} +{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.17614, "decode.acc_seg": 76.24279, "aux.loss_seg": 0.09049, "aux.acc_seg": 74.96129, "loss": 0.26664, "time": 0.30248} +{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.18054, "decode.acc_seg": 73.54615, "aux.loss_seg": 0.0915, "aux.acc_seg": 72.25713, "loss": 0.27205, "time": 0.30221} +{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.18507, "decode.acc_seg": 74.56719, "aux.loss_seg": 0.094, "aux.acc_seg": 73.2679, "loss": 0.27907, "time": 0.30227} +{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.1815, "decode.acc_seg": 74.25965, "aux.loss_seg": 0.09209, "aux.acc_seg": 72.94063, "loss": 0.27359, "time": 0.30169} +{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.18393, "decode.acc_seg": 73.88249, "aux.loss_seg": 0.09336, "aux.acc_seg": 72.53004, "loss": 0.27729, "time": 0.30273} +{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.18584, "decode.acc_seg": 73.53006, "aux.loss_seg": 0.09354, "aux.acc_seg": 72.27799, "loss": 0.27938, "time": 0.30182} +{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.18444, "decode.acc_seg": 74.67402, "aux.loss_seg": 0.09525, "aux.acc_seg": 73.16742, "loss": 0.27969, "time": 0.29973} +{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.1792, "decode.acc_seg": 75.68203, "aux.loss_seg": 0.09044, "aux.acc_seg": 74.47978, "loss": 0.26964, "time": 0.29997} +{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18932, "decode.acc_seg": 76.17121, "aux.loss_seg": 0.09548, "aux.acc_seg": 74.80373, "loss": 0.2848, "time": 0.30034} +{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18872, "decode.acc_seg": 74.43654, "aux.loss_seg": 0.09632, "aux.acc_seg": 73.00776, "loss": 0.28504, "time": 0.30233} +{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.18738, "decode.acc_seg": 73.36902, "aux.loss_seg": 0.09574, "aux.acc_seg": 72.05328, "loss": 0.28311, "time": 0.30181} +{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.19775, "decode.acc_seg": 75.6384, "aux.loss_seg": 0.09816, "aux.acc_seg": 74.31758, "loss": 0.29592, "time": 0.30025} +{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.17505, "decode.acc_seg": 75.07261, "aux.loss_seg": 0.08929, "aux.acc_seg": 73.70531, "loss": 0.26434, "time": 0.30087} +{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.17744, "decode.acc_seg": 75.29911, "aux.loss_seg": 0.09034, "aux.acc_seg": 73.98182, "loss": 0.26778, "time": 0.3014} +{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.18992, "decode.acc_seg": 74.38146, "aux.loss_seg": 0.09783, "aux.acc_seg": 72.95779, "loss": 0.28775, "time": 0.30035} +{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.18034, "decode.acc_seg": 74.24163, "aux.loss_seg": 0.09167, "aux.acc_seg": 72.89319, "loss": 0.27201, "time": 0.30103} +{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18131, "decode.acc_seg": 74.85748, "aux.loss_seg": 0.09174, "aux.acc_seg": 73.61944, "loss": 0.27305, "time": 0.30208} +{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 36160, "data_time": 0.16564, "decode.loss_seg": 0.18893, "decode.acc_seg": 74.61843, "aux.loss_seg": 0.09588, "aux.acc_seg": 73.31884, "loss": 0.28482, "time": 0.46168} +{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.1821, "decode.acc_seg": 73.60738, "aux.loss_seg": 0.09251, "aux.acc_seg": 72.26834, "loss": 0.27461, "time": 0.29984} +{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18185, "decode.acc_seg": 74.19951, "aux.loss_seg": 0.09532, "aux.acc_seg": 72.82064, "loss": 0.27717, "time": 0.29902} +{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.18423, "decode.acc_seg": 75.33033, "aux.loss_seg": 0.09331, "aux.acc_seg": 73.96488, "loss": 0.27753, "time": 0.29959} +{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.17946, "decode.acc_seg": 74.80227, "aux.loss_seg": 0.09177, "aux.acc_seg": 73.51206, "loss": 0.27123, "time": 0.29987} +{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.17867, "decode.acc_seg": 74.69262, "aux.loss_seg": 0.09093, "aux.acc_seg": 73.41336, "loss": 0.26961, "time": 0.29975} +{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.18251, "decode.acc_seg": 73.02739, "aux.loss_seg": 0.09255, "aux.acc_seg": 71.6703, "loss": 0.27506, "time": 0.30147} +{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.17878, "decode.acc_seg": 74.56439, "aux.loss_seg": 0.09161, "aux.acc_seg": 73.28748, "loss": 0.27039, "time": 0.30062} +{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.18127, "decode.acc_seg": 75.26539, "aux.loss_seg": 0.09289, "aux.acc_seg": 73.8624, "loss": 0.27416, "time": 0.3013} +{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.18755, "decode.acc_seg": 74.53623, "aux.loss_seg": 0.09521, "aux.acc_seg": 73.1294, "loss": 0.28277, "time": 0.30166} +{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.17974, "decode.acc_seg": 74.19932, "aux.loss_seg": 0.0917, "aux.acc_seg": 72.87935, "loss": 0.27143, "time": 0.30223} +{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.18112, "decode.acc_seg": 74.05858, "aux.loss_seg": 0.09295, "aux.acc_seg": 72.74001, "loss": 0.27407, "time": 0.30185} +{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.16955, "decode.acc_seg": 74.75355, "aux.loss_seg": 0.08688, "aux.acc_seg": 73.383, "loss": 0.25643, "time": 0.30223} +{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.19362, "decode.acc_seg": 74.24604, "aux.loss_seg": 0.09729, "aux.acc_seg": 72.9989, "loss": 0.29091, "time": 0.30268} +{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.17953, "decode.acc_seg": 73.4834, "aux.loss_seg": 0.09144, "aux.acc_seg": 72.21814, "loss": 0.27097, "time": 0.30199} +{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.18206, "decode.acc_seg": 74.64308, "aux.loss_seg": 0.08988, "aux.acc_seg": 73.47308, "loss": 0.27194, "time": 0.30216} +{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.1784, "decode.acc_seg": 74.30163, "aux.loss_seg": 0.09124, "aux.acc_seg": 72.95747, "loss": 0.26965, "time": 0.30242} +{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.17839, "decode.acc_seg": 74.17663, "aux.loss_seg": 0.09331, "aux.acc_seg": 72.70895, "loss": 0.2717, "time": 0.30192} +{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.18018, "decode.acc_seg": 74.91183, "aux.loss_seg": 0.09114, "aux.acc_seg": 73.60971, "loss": 0.27132, "time": 0.30221} +{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.60173, "aux.loss_seg": 0.09174, "aux.acc_seg": 73.35777, "loss": 0.27354, "time": 0.30199} +{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.18564, "decode.acc_seg": 73.76672, "aux.loss_seg": 0.09584, "aux.acc_seg": 72.34572, "loss": 0.28148, "time": 0.3019} +{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.18315, "decode.acc_seg": 75.2641, "aux.loss_seg": 0.09304, "aux.acc_seg": 73.96921, "loss": 0.27619, "time": 0.30147} +{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.18888, "decode.acc_seg": 77.0423, "aux.loss_seg": 0.09492, "aux.acc_seg": 75.72632, "loss": 0.2838, "time": 0.30053} +{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.18947, "decode.acc_seg": 74.63752, "aux.loss_seg": 0.09696, "aux.acc_seg": 73.261, "loss": 0.28643, "time": 0.30222} +{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.18115, "decode.acc_seg": 73.81653, "aux.loss_seg": 0.09159, "aux.acc_seg": 72.48255, "loss": 0.27274, "time": 0.30238} +{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 36160, "data_time": 0.173, "decode.loss_seg": 0.19043, "decode.acc_seg": 73.88899, "aux.loss_seg": 0.09714, "aux.acc_seg": 72.46281, "loss": 0.28757, "time": 0.46881} +{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.187, "decode.acc_seg": 74.62565, "aux.loss_seg": 0.09531, "aux.acc_seg": 73.33374, "loss": 0.28231, "time": 0.29998} +{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18417, "decode.acc_seg": 73.59238, "aux.loss_seg": 0.09356, "aux.acc_seg": 72.27259, "loss": 0.27773, "time": 0.30007} +{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.18548, "decode.acc_seg": 75.11074, "aux.loss_seg": 0.09424, "aux.acc_seg": 73.74747, "loss": 0.27973, "time": 0.30114} +{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.18455, "decode.acc_seg": 76.31841, "aux.loss_seg": 0.09328, "aux.acc_seg": 75.05815, "loss": 0.27783, "time": 0.30108} +{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.1798, "decode.acc_seg": 75.30167, "aux.loss_seg": 0.09148, "aux.acc_seg": 74.01033, "loss": 0.27127, "time": 0.30101} +{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.1869, "decode.acc_seg": 74.48644, "aux.loss_seg": 0.09369, "aux.acc_seg": 73.21899, "loss": 0.28059, "time": 0.30276} +{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.1911, "decode.acc_seg": 73.77558, "aux.loss_seg": 0.09711, "aux.acc_seg": 72.45203, "loss": 0.28821, "time": 0.30265} +{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.18724, "decode.acc_seg": 74.91881, "aux.loss_seg": 0.09628, "aux.acc_seg": 73.46365, "loss": 0.28352, "time": 0.30075} +{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.17963, "decode.acc_seg": 73.60809, "aux.loss_seg": 0.09005, "aux.acc_seg": 72.41634, "loss": 0.26968, "time": 0.30142} +{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.17903, "decode.acc_seg": 74.79066, "aux.loss_seg": 0.08955, "aux.acc_seg": 73.62771, "loss": 0.26858, "time": 0.30152} +{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.18505, "decode.acc_seg": 74.64857, "aux.loss_seg": 0.09396, "aux.acc_seg": 73.25771, "loss": 0.27901, "time": 0.30107} +{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.18217, "decode.acc_seg": 75.40174, "aux.loss_seg": 0.0926, "aux.acc_seg": 74.03822, "loss": 0.27477, "time": 0.30254} +{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.17869, "decode.acc_seg": 74.75408, "aux.loss_seg": 0.09205, "aux.acc_seg": 73.37259, "loss": 0.27074, "time": 0.30207} +{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.17494, "decode.acc_seg": 74.88398, "aux.loss_seg": 0.09065, "aux.acc_seg": 73.56991, "loss": 0.2656, "time": 0.3011} +{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.1788, "decode.acc_seg": 73.22169, "aux.loss_seg": 0.09234, "aux.acc_seg": 71.92566, "loss": 0.27114, "time": 0.30024} +{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.1848, "decode.acc_seg": 74.03783, "aux.loss_seg": 0.09377, "aux.acc_seg": 72.701, "loss": 0.27858, "time": 0.30027} +{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.17445, "decode.acc_seg": 76.16255, "aux.loss_seg": 0.09098, "aux.acc_seg": 74.72166, "loss": 0.26544, "time": 0.30137} +{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.18381, "decode.acc_seg": 74.5123, "aux.loss_seg": 0.09353, "aux.acc_seg": 73.17077, "loss": 0.27734, "time": 0.30068} +{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18677, "decode.acc_seg": 73.39385, "aux.loss_seg": 0.09546, "aux.acc_seg": 72.0041, "loss": 0.28223, "time": 0.30127} +{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.1816, "decode.acc_seg": 76.63184, "aux.loss_seg": 0.09323, "aux.acc_seg": 75.26286, "loss": 0.27483, "time": 0.29991} +{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.18598, "decode.acc_seg": 73.3089, "aux.loss_seg": 0.09408, "aux.acc_seg": 71.96618, "loss": 0.28006, "time": 0.30156} +{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.18384, "decode.acc_seg": 75.88329, "aux.loss_seg": 0.09461, "aux.acc_seg": 74.45023, "loss": 0.27845, "time": 0.30146} +{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.17875, "decode.acc_seg": 75.1381, "aux.loss_seg": 0.0919, "aux.acc_seg": 73.84285, "loss": 0.27065, "time": 0.30321} +{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19334, "decode.acc_seg": 75.02731, "aux.loss_seg": 0.09889, "aux.acc_seg": 73.6474, "loss": 0.29223, "time": 0.3031} +{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.17759, "decode.acc_seg": 74.11726, "aux.loss_seg": 0.08913, "aux.acc_seg": 72.9643, "loss": 0.26672, "time": 0.30173} +{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 36160, "data_time": 0.18772, "decode.loss_seg": 0.17566, "decode.acc_seg": 75.67783, "aux.loss_seg": 0.09004, "aux.acc_seg": 74.32341, "loss": 0.2657, "time": 0.48504} +{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18108, "decode.acc_seg": 75.9693, "aux.loss_seg": 0.09517, "aux.acc_seg": 74.42838, "loss": 0.27625, "time": 0.30034} +{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.17979, "decode.acc_seg": 74.11571, "aux.loss_seg": 0.09207, "aux.acc_seg": 72.73042, "loss": 0.27186, "time": 0.30072} +{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.17734, "decode.acc_seg": 73.9104, "aux.loss_seg": 0.09201, "aux.acc_seg": 72.48629, "loss": 0.26935, "time": 0.30073} +{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.17377, "decode.acc_seg": 74.43575, "aux.loss_seg": 0.09068, "aux.acc_seg": 72.99277, "loss": 0.26444, "time": 0.30158} +{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.18473, "decode.acc_seg": 75.06581, "aux.loss_seg": 0.09486, "aux.acc_seg": 73.65987, "loss": 0.27959, "time": 0.30228} +{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.16635, "decode.acc_seg": 74.60256, "aux.loss_seg": 0.08751, "aux.acc_seg": 73.26777, "loss": 0.25386, "time": 0.30244} +{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.18683, "decode.acc_seg": 74.055, "aux.loss_seg": 0.09586, "aux.acc_seg": 72.60453, "loss": 0.28269, "time": 0.30108} +{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.18554, "decode.acc_seg": 74.7777, "aux.loss_seg": 0.09343, "aux.acc_seg": 73.40041, "loss": 0.27897, "time": 0.30285} +{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.17359, "decode.acc_seg": 75.40247, "aux.loss_seg": 0.08862, "aux.acc_seg": 74.03932, "loss": 0.26221, "time": 0.30234} +{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.18897, "decode.acc_seg": 76.16014, "aux.loss_seg": 0.0959, "aux.acc_seg": 74.75386, "loss": 0.28487, "time": 0.30144} +{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.17844, "decode.acc_seg": 75.02476, "aux.loss_seg": 0.09039, "aux.acc_seg": 73.74499, "loss": 0.26884, "time": 0.30163} +{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.17575, "decode.acc_seg": 74.37478, "aux.loss_seg": 0.09024, "aux.acc_seg": 73.04596, "loss": 0.26598, "time": 0.30214} +{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.18827, "decode.acc_seg": 74.85802, "aux.loss_seg": 0.09656, "aux.acc_seg": 73.41498, "loss": 0.28482, "time": 0.30273} +{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.17626, "decode.acc_seg": 75.20568, "aux.loss_seg": 0.09022, "aux.acc_seg": 73.83385, "loss": 0.26648, "time": 0.30373} +{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.78976, "aux.loss_seg": 0.0857, "aux.acc_seg": 73.52794, "loss": 0.25304, "time": 0.30393} +{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.18252, "decode.acc_seg": 75.09199, "aux.loss_seg": 0.0925, "aux.acc_seg": 73.79046, "loss": 0.27502, "time": 0.30325} +{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.19399, "decode.acc_seg": 74.84889, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.48673, "loss": 0.29261, "time": 0.30234} +{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.1814, "decode.acc_seg": 75.40247, "aux.loss_seg": 0.0936, "aux.acc_seg": 74.01305, "loss": 0.27501, "time": 0.3033} +{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.16942, "decode.acc_seg": 75.24755, "aux.loss_seg": 0.08727, "aux.acc_seg": 73.94156, "loss": 0.25669, "time": 0.30255} +{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.18387, "decode.acc_seg": 73.95556, "aux.loss_seg": 0.09374, "aux.acc_seg": 72.60159, "loss": 0.27761, "time": 0.30171} +{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.187, "decode.acc_seg": 75.0386, "aux.loss_seg": 0.09706, "aux.acc_seg": 73.56728, "loss": 0.28406, "time": 0.30414} +{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 36160, "data_time": 0.00639, "decode.loss_seg": 0.18083, "decode.acc_seg": 74.25416, "aux.loss_seg": 0.09311, "aux.acc_seg": 72.76881, "loss": 0.27394, "time": 0.30301} +{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.18564, "decode.acc_seg": 75.46714, "aux.loss_seg": 0.09488, "aux.acc_seg": 74.09869, "loss": 0.28052, "time": 0.30335} +{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.186, "decode.acc_seg": 74.46926, "aux.loss_seg": 0.09476, "aux.acc_seg": 73.24441, "loss": 0.28076, "time": 0.30236} +{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 36160, "data_time": 0.14726, "decode.loss_seg": 0.18781, "decode.acc_seg": 73.29255, "aux.loss_seg": 0.09561, "aux.acc_seg": 71.82491, "loss": 0.28342, "time": 0.47105} +{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.17619, "decode.acc_seg": 76.08124, "aux.loss_seg": 0.09219, "aux.acc_seg": 74.6171, "loss": 0.26837, "time": 0.30204} +{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.17821, "decode.acc_seg": 75.13186, "aux.loss_seg": 0.08933, "aux.acc_seg": 73.94806, "loss": 0.26754, "time": 0.30336} +{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.17565, "decode.acc_seg": 74.58066, "aux.loss_seg": 0.09189, "aux.acc_seg": 73.16746, "loss": 0.26754, "time": 0.30264} +{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.1771, "decode.acc_seg": 76.708, "aux.loss_seg": 0.09093, "aux.acc_seg": 75.3677, "loss": 0.26803, "time": 0.30319} +{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.19025, "decode.acc_seg": 75.55857, "aux.loss_seg": 0.09526, "aux.acc_seg": 74.29336, "loss": 0.28551, "time": 0.303} +{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.17811, "decode.acc_seg": 74.90356, "aux.loss_seg": 0.08988, "aux.acc_seg": 73.59999, "loss": 0.268, "time": 0.30367} +{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.189, "decode.acc_seg": 74.20022, "aux.loss_seg": 0.09735, "aux.acc_seg": 72.75714, "loss": 0.28634, "time": 0.3021} +{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.1854, "decode.acc_seg": 75.22681, "aux.loss_seg": 0.09471, "aux.acc_seg": 73.87661, "loss": 0.28011, "time": 0.30144} +{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.17411, "decode.acc_seg": 75.67048, "aux.loss_seg": 0.09033, "aux.acc_seg": 74.3276, "loss": 0.26444, "time": 0.30272} +{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18065, "decode.acc_seg": 73.67463, "aux.loss_seg": 0.09361, "aux.acc_seg": 72.34978, "loss": 0.27426, "time": 0.30184} +{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.1704, "decode.acc_seg": 75.50895, "aux.loss_seg": 0.08751, "aux.acc_seg": 74.1652, "loss": 0.25791, "time": 0.30234} +{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.18623, "decode.acc_seg": 75.7746, "aux.loss_seg": 0.09436, "aux.acc_seg": 74.41842, "loss": 0.28059, "time": 0.30283} +{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.17522, "decode.acc_seg": 75.12387, "aux.loss_seg": 0.08989, "aux.acc_seg": 73.71637, "loss": 0.26512, "time": 0.30267} +{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.17302, "decode.acc_seg": 74.57398, "aux.loss_seg": 0.08901, "aux.acc_seg": 73.21506, "loss": 0.26203, "time": 0.30378} +{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.17746, "decode.acc_seg": 75.44636, "aux.loss_seg": 0.09106, "aux.acc_seg": 74.08942, "loss": 0.26852, "time": 0.30291} +{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.17599, "decode.acc_seg": 74.54811, "aux.loss_seg": 0.08963, "aux.acc_seg": 73.31791, "loss": 0.26562, "time": 0.30082} +{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.1838, "decode.acc_seg": 73.1246, "aux.loss_seg": 0.09341, "aux.acc_seg": 71.86905, "loss": 0.27721, "time": 0.30183} +{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.17667, "decode.acc_seg": 75.60077, "aux.loss_seg": 0.09065, "aux.acc_seg": 74.28539, "loss": 0.26732, "time": 0.30152} +{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.17722, "decode.acc_seg": 74.7925, "aux.loss_seg": 0.09217, "aux.acc_seg": 73.3163, "loss": 0.26939, "time": 0.30151} +{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.17406, "decode.acc_seg": 73.8166, "aux.loss_seg": 0.0886, "aux.acc_seg": 72.58058, "loss": 0.26266, "time": 0.30102} +{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.18328, "decode.acc_seg": 74.19817, "aux.loss_seg": 0.09349, "aux.acc_seg": 72.8674, "loss": 0.27676, "time": 0.30103} +{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.18592, "decode.acc_seg": 74.02718, "aux.loss_seg": 0.09511, "aux.acc_seg": 72.70671, "loss": 0.28103, "time": 0.30103} +{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.1746, "decode.acc_seg": 73.90801, "aux.loss_seg": 0.08941, "aux.acc_seg": 72.55732, "loss": 0.264, "time": 0.30109} +{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.18029, "decode.acc_seg": 75.65853, "aux.loss_seg": 0.09185, "aux.acc_seg": 74.34095, "loss": 0.27214, "time": 0.30118} +{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 36160, "data_time": 0.1706, "decode.loss_seg": 0.17136, "decode.acc_seg": 75.10588, "aux.loss_seg": 0.08781, "aux.acc_seg": 73.80678, "loss": 0.25917, "time": 0.4669} +{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.18119, "decode.acc_seg": 75.28052, "aux.loss_seg": 0.09213, "aux.acc_seg": 73.93315, "loss": 0.27331, "time": 0.30147} +{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.18367, "decode.acc_seg": 76.19739, "aux.loss_seg": 0.09489, "aux.acc_seg": 74.70736, "loss": 0.27856, "time": 0.29957} +{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.1809, "decode.acc_seg": 74.03832, "aux.loss_seg": 0.09109, "aux.acc_seg": 72.75045, "loss": 0.27199, "time": 0.30103} +{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 36160, "data_time": 0.00637, "decode.loss_seg": 0.17847, "decode.acc_seg": 74.71846, "aux.loss_seg": 0.09174, "aux.acc_seg": 73.30866, "loss": 0.2702, "time": 0.30023} +{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.18264, "decode.acc_seg": 74.1817, "aux.loss_seg": 0.09386, "aux.acc_seg": 72.88012, "loss": 0.27649, "time": 0.30094} +{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.18666, "decode.acc_seg": 74.57652, "aux.loss_seg": 0.09406, "aux.acc_seg": 73.19783, "loss": 0.28072, "time": 0.3001} +{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.18205, "decode.acc_seg": 73.98268, "aux.loss_seg": 0.09225, "aux.acc_seg": 72.73989, "loss": 0.2743, "time": 0.30323} +{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.16709, "decode.acc_seg": 74.10562, "aux.loss_seg": 0.08556, "aux.acc_seg": 72.83844, "loss": 0.25264, "time": 0.30192} +{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 36160, "data_time": 0.00628, "decode.loss_seg": 0.17659, "decode.acc_seg": 74.07853, "aux.loss_seg": 0.09082, "aux.acc_seg": 72.65082, "loss": 0.26741, "time": 0.30094} +{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.17702, "decode.acc_seg": 75.51137, "aux.loss_seg": 0.09081, "aux.acc_seg": 74.1607, "loss": 0.26783, "time": 0.30122} +{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.17789, "decode.acc_seg": 75.6259, "aux.loss_seg": 0.09039, "aux.acc_seg": 74.36443, "loss": 0.26827, "time": 0.30304} +{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.17894, "decode.acc_seg": 74.80296, "aux.loss_seg": 0.09118, "aux.acc_seg": 73.5222, "loss": 0.27012, "time": 0.30185} +{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.17168, "decode.acc_seg": 74.27594, "aux.loss_seg": 0.08782, "aux.acc_seg": 72.94562, "loss": 0.25949, "time": 0.30188} +{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.17795, "decode.acc_seg": 74.01133, "aux.loss_seg": 0.0908, "aux.acc_seg": 72.72555, "loss": 0.26875, "time": 0.30253} +{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.17273, "decode.acc_seg": 76.5864, "aux.loss_seg": 0.08841, "aux.acc_seg": 75.24111, "loss": 0.26114, "time": 0.30418} +{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.17959, "decode.acc_seg": 74.99254, "aux.loss_seg": 0.09224, "aux.acc_seg": 73.65663, "loss": 0.27183, "time": 0.30282} +{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.17371, "decode.acc_seg": 74.69835, "aux.loss_seg": 0.08825, "aux.acc_seg": 73.48099, "loss": 0.26195, "time": 0.30357} +{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.17585, "decode.acc_seg": 74.57993, "aux.loss_seg": 0.09053, "aux.acc_seg": 73.28985, "loss": 0.26638, "time": 0.30259} +{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.18037, "decode.acc_seg": 76.32823, "aux.loss_seg": 0.09319, "aux.acc_seg": 74.94305, "loss": 0.27356, "time": 0.30223} +{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.1712, "decode.acc_seg": 74.38742, "aux.loss_seg": 0.08764, "aux.acc_seg": 73.15686, "loss": 0.25883, "time": 0.30294} +{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.18044, "decode.acc_seg": 74.90687, "aux.loss_seg": 0.0921, "aux.acc_seg": 73.50014, "loss": 0.27253, "time": 0.30322} +{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.18043, "decode.acc_seg": 74.91678, "aux.loss_seg": 0.09402, "aux.acc_seg": 73.443, "loss": 0.27446, "time": 0.30311} +{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17468, "decode.acc_seg": 74.60803, "aux.loss_seg": 0.08962, "aux.acc_seg": 73.27446, "loss": 0.2643, "time": 0.30215} +{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.16938, "decode.acc_seg": 73.51361, "aux.loss_seg": 0.08867, "aux.acc_seg": 72.13913, "loss": 0.25805, "time": 0.30263} +{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 36160, "data_time": 0.16651, "decode.loss_seg": 0.17707, "decode.acc_seg": 74.37397, "aux.loss_seg": 0.09191, "aux.acc_seg": 72.94077, "loss": 0.26898, "time": 0.46266} +{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.18461, "decode.acc_seg": 75.22144, "aux.loss_seg": 0.09305, "aux.acc_seg": 73.98937, "loss": 0.27767, "time": 0.30254} +{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.17806, "decode.acc_seg": 73.97575, "aux.loss_seg": 0.08997, "aux.acc_seg": 72.71823, "loss": 0.26803, "time": 0.30186} +{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.17678, "decode.acc_seg": 74.77151, "aux.loss_seg": 0.08928, "aux.acc_seg": 73.50729, "loss": 0.26605, "time": 0.30157} +{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.18126, "decode.acc_seg": 75.31707, "aux.loss_seg": 0.09223, "aux.acc_seg": 73.92572, "loss": 0.27349, "time": 0.30119} +{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.18254, "decode.acc_seg": 74.62622, "aux.loss_seg": 0.09159, "aux.acc_seg": 73.2804, "loss": 0.27413, "time": 0.30086} +{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17128, "decode.acc_seg": 74.75608, "aux.loss_seg": 0.08756, "aux.acc_seg": 73.41916, "loss": 0.25885, "time": 0.30405} +{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.17141, "decode.acc_seg": 74.91053, "aux.loss_seg": 0.0876, "aux.acc_seg": 73.68039, "loss": 0.259, "time": 0.30188} +{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.1676, "decode.acc_seg": 74.26218, "aux.loss_seg": 0.08687, "aux.acc_seg": 72.90589, "loss": 0.25448, "time": 0.30165} +{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.18084, "decode.acc_seg": 74.29471, "aux.loss_seg": 0.09231, "aux.acc_seg": 72.97312, "loss": 0.27315, "time": 0.30523} +{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17915, "decode.acc_seg": 74.7943, "aux.loss_seg": 0.09158, "aux.acc_seg": 73.46614, "loss": 0.27073, "time": 0.30391} +{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.17369, "decode.acc_seg": 75.19369, "aux.loss_seg": 0.08949, "aux.acc_seg": 73.80541, "loss": 0.26318, "time": 0.3011} +{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.17739, "decode.acc_seg": 75.43436, "aux.loss_seg": 0.09173, "aux.acc_seg": 74.11771, "loss": 0.26912, "time": 0.30281} +{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.17855, "decode.acc_seg": 75.43874, "aux.loss_seg": 0.09101, "aux.acc_seg": 74.14761, "loss": 0.26956, "time": 0.30114} +{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.1734, "decode.acc_seg": 74.26586, "aux.loss_seg": 0.08999, "aux.acc_seg": 72.83745, "loss": 0.26339, "time": 0.30067} +{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.16836, "decode.acc_seg": 75.28583, "aux.loss_seg": 0.08607, "aux.acc_seg": 73.99018, "loss": 0.25443, "time": 0.3006} +{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.17436, "decode.acc_seg": 74.44265, "aux.loss_seg": 0.08911, "aux.acc_seg": 73.11903, "loss": 0.26348, "time": 0.30189} +{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18274, "decode.acc_seg": 74.26766, "aux.loss_seg": 0.09288, "aux.acc_seg": 72.95318, "loss": 0.27562, "time": 0.30187} +{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.17044, "decode.acc_seg": 74.75599, "aux.loss_seg": 0.08884, "aux.acc_seg": 73.44374, "loss": 0.25927, "time": 0.30227} +{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.1746, "decode.acc_seg": 73.67622, "aux.loss_seg": 0.08898, "aux.acc_seg": 72.43845, "loss": 0.26358, "time": 0.30359} +{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.1935, "decode.acc_seg": 75.40142, "aux.loss_seg": 0.09549, "aux.acc_seg": 74.13263, "loss": 0.28899, "time": 0.30294} +{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.18069, "decode.acc_seg": 74.16884, "aux.loss_seg": 0.0923, "aux.acc_seg": 72.84492, "loss": 0.27299, "time": 0.3044} +{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.1719, "decode.acc_seg": 76.31024, "aux.loss_seg": 0.08703, "aux.acc_seg": 75.1242, "loss": 0.25893, "time": 0.30117} +{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.17945, "decode.acc_seg": 74.90208, "aux.loss_seg": 0.09237, "aux.acc_seg": 73.54561, "loss": 0.27181, "time": 0.30097} +{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.16997, "decode.acc_seg": 75.18831, "aux.loss_seg": 0.08654, "aux.acc_seg": 73.97418, "loss": 0.25651, "time": 0.30185} +{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.17624, "decode.acc_seg": 73.58607, "aux.loss_seg": 0.09029, "aux.acc_seg": 72.2101, "loss": 0.26653, "time": 0.30177} +{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 36160, "data_time": 0.16514, "decode.loss_seg": 0.18205, "decode.acc_seg": 74.53943, "aux.loss_seg": 0.0927, "aux.acc_seg": 73.15203, "loss": 0.27475, "time": 0.46106} +{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.17276, "decode.acc_seg": 74.52846, "aux.loss_seg": 0.08946, "aux.acc_seg": 73.22479, "loss": 0.26222, "time": 0.30059} +{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.17586, "decode.acc_seg": 73.43514, "aux.loss_seg": 0.09153, "aux.acc_seg": 72.08178, "loss": 0.26739, "time": 0.30008} +{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.17555, "decode.acc_seg": 75.40002, "aux.loss_seg": 0.091, "aux.acc_seg": 73.94832, "loss": 0.26656, "time": 0.2999} +{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.17395, "decode.acc_seg": 76.26196, "aux.loss_seg": 0.09111, "aux.acc_seg": 74.80216, "loss": 0.26506, "time": 0.30111} +{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.1726, "decode.acc_seg": 73.42051, "aux.loss_seg": 0.08895, "aux.acc_seg": 72.06839, "loss": 0.26155, "time": 0.30276} +{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17394, "decode.acc_seg": 75.24104, "aux.loss_seg": 0.0891, "aux.acc_seg": 73.95408, "loss": 0.26304, "time": 0.3007} +{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.171, "decode.acc_seg": 73.87986, "aux.loss_seg": 0.0876, "aux.acc_seg": 72.69438, "loss": 0.2586, "time": 0.30009} +{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.16409, "decode.acc_seg": 75.82118, "aux.loss_seg": 0.08382, "aux.acc_seg": 74.60362, "loss": 0.24791, "time": 0.29875} +{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.17962, "decode.acc_seg": 74.87719, "aux.loss_seg": 0.09249, "aux.acc_seg": 73.4892, "loss": 0.27211, "time": 0.29992} +{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17391, "decode.acc_seg": 75.68429, "aux.loss_seg": 0.09023, "aux.acc_seg": 74.31326, "loss": 0.26414, "time": 0.29996} +{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16931, "decode.acc_seg": 76.5133, "aux.loss_seg": 0.08549, "aux.acc_seg": 75.30881, "loss": 0.25481, "time": 0.30011} +{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.18192, "decode.acc_seg": 74.50388, "aux.loss_seg": 0.09369, "aux.acc_seg": 73.13854, "loss": 0.2756, "time": 0.29951} +{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.16751, "decode.acc_seg": 74.73246, "aux.loss_seg": 0.08567, "aux.acc_seg": 73.45963, "loss": 0.25317, "time": 0.29928} +{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.17275, "decode.acc_seg": 74.23641, "aux.loss_seg": 0.08943, "aux.acc_seg": 72.894, "loss": 0.26218, "time": 0.3007} +{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.1716, "decode.acc_seg": 72.59855, "aux.loss_seg": 0.08842, "aux.acc_seg": 71.20479, "loss": 0.26003, "time": 0.30088} +{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.16657, "decode.acc_seg": 74.65733, "aux.loss_seg": 0.08702, "aux.acc_seg": 73.29025, "loss": 0.25359, "time": 0.30053} +{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.17348, "decode.acc_seg": 74.68058, "aux.loss_seg": 0.08933, "aux.acc_seg": 73.38228, "loss": 0.26281, "time": 0.30121} +{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.15976, "decode.acc_seg": 76.06218, "aux.loss_seg": 0.08353, "aux.acc_seg": 74.72208, "loss": 0.2433, "time": 0.30222} +{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.17072, "decode.acc_seg": 74.3764, "aux.loss_seg": 0.08709, "aux.acc_seg": 73.15685, "loss": 0.25781, "time": 0.30277} +{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.17759, "decode.acc_seg": 74.63682, "aux.loss_seg": 0.09097, "aux.acc_seg": 73.38001, "loss": 0.26856, "time": 0.30227} +{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.16853, "decode.acc_seg": 75.7217, "aux.loss_seg": 0.08752, "aux.acc_seg": 74.35602, "loss": 0.25605, "time": 0.30189} +{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.17184, "decode.acc_seg": 75.01646, "aux.loss_seg": 0.08754, "aux.acc_seg": 73.75076, "loss": 0.25937, "time": 0.30153} +{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.17752, "decode.acc_seg": 76.46831, "aux.loss_seg": 0.09139, "aux.acc_seg": 75.18715, "loss": 0.2689, "time": 0.3019} +{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.16639, "decode.acc_seg": 74.65468, "aux.loss_seg": 0.08676, "aux.acc_seg": 73.232, "loss": 0.25314, "time": 0.30051} +{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 36160, "data_time": 0.17687, "decode.loss_seg": 0.17245, "decode.acc_seg": 74.18523, "aux.loss_seg": 0.08738, "aux.acc_seg": 72.88302, "loss": 0.25983, "time": 0.47147} +{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.16602, "decode.acc_seg": 75.35985, "aux.loss_seg": 0.08661, "aux.acc_seg": 73.98729, "loss": 0.25263, "time": 0.30426} +{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.17925, "decode.acc_seg": 75.07936, "aux.loss_seg": 0.09031, "aux.acc_seg": 73.83936, "loss": 0.26957, "time": 0.30134} +{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.17151, "decode.acc_seg": 75.58756, "aux.loss_seg": 0.08781, "aux.acc_seg": 74.23217, "loss": 0.25931, "time": 0.30079} +{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.17291, "decode.acc_seg": 73.61713, "aux.loss_seg": 0.0889, "aux.acc_seg": 72.26053, "loss": 0.26181, "time": 0.30005} +{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.17845, "decode.acc_seg": 75.62859, "aux.loss_seg": 0.09108, "aux.acc_seg": 74.32754, "loss": 0.26953, "time": 0.30006} +{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.18406, "decode.acc_seg": 73.79902, "aux.loss_seg": 0.09293, "aux.acc_seg": 72.52887, "loss": 0.27699, "time": 0.3033} +{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.17196, "decode.acc_seg": 73.98705, "aux.loss_seg": 0.08756, "aux.acc_seg": 72.65586, "loss": 0.25952, "time": 0.30184} +{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.17648, "decode.acc_seg": 74.57055, "aux.loss_seg": 0.08951, "aux.acc_seg": 73.28918, "loss": 0.26598, "time": 0.30124} +{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.17463, "decode.acc_seg": 76.12939, "aux.loss_seg": 0.08917, "aux.acc_seg": 74.82314, "loss": 0.2638, "time": 0.30151} +{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.18416, "decode.acc_seg": 73.6324, "aux.loss_seg": 0.09429, "aux.acc_seg": 72.20066, "loss": 0.27845, "time": 0.30215} +{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.17423, "decode.acc_seg": 73.93859, "aux.loss_seg": 0.08966, "aux.acc_seg": 72.64727, "loss": 0.26389, "time": 0.30405} +{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.17453, "decode.acc_seg": 74.81626, "aux.loss_seg": 0.09121, "aux.acc_seg": 73.40976, "loss": 0.26574, "time": 0.30404} +{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.17022, "decode.acc_seg": 75.94152, "aux.loss_seg": 0.08753, "aux.acc_seg": 74.61253, "loss": 0.25774, "time": 0.30241} +{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.17481, "decode.acc_seg": 76.64731, "aux.loss_seg": 0.0902, "aux.acc_seg": 75.25733, "loss": 0.26501, "time": 0.30255} +{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.17134, "decode.acc_seg": 74.99369, "aux.loss_seg": 0.09077, "aux.acc_seg": 73.5228, "loss": 0.2621, "time": 0.30321} +{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.16291, "decode.acc_seg": 75.40988, "aux.loss_seg": 0.08278, "aux.acc_seg": 74.13074, "loss": 0.24569, "time": 0.3039} +{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.16775, "decode.acc_seg": 73.93762, "aux.loss_seg": 0.08539, "aux.acc_seg": 72.66081, "loss": 0.25314, "time": 0.30371} +{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.16299, "decode.acc_seg": 73.33203, "aux.loss_seg": 0.08358, "aux.acc_seg": 72.08154, "loss": 0.24658, "time": 0.30201} +{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.18193, "decode.acc_seg": 74.54875, "aux.loss_seg": 0.09228, "aux.acc_seg": 73.21079, "loss": 0.27421, "time": 0.30344} +{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.16627, "decode.acc_seg": 73.78404, "aux.loss_seg": 0.08512, "aux.acc_seg": 72.50676, "loss": 0.25139, "time": 0.30319} +{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.16971, "decode.acc_seg": 74.72894, "aux.loss_seg": 0.08716, "aux.acc_seg": 73.44179, "loss": 0.25687, "time": 0.30283} +{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.17453, "decode.acc_seg": 75.08458, "aux.loss_seg": 0.09043, "aux.acc_seg": 73.73472, "loss": 0.26496, "time": 0.30256} +{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.16596, "decode.acc_seg": 75.51479, "aux.loss_seg": 0.08478, "aux.acc_seg": 74.27285, "loss": 0.25075, "time": 0.30306} +{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.17618, "decode.acc_seg": 74.28697, "aux.loss_seg": 0.08875, "aux.acc_seg": 72.97148, "loss": 0.26493, "time": 0.30314} +{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 36160, "data_time": 0.16835, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.02341, "aux.loss_seg": 0.09033, "aux.acc_seg": 73.66976, "loss": 0.26523, "time": 0.46446} +{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.16859, "decode.acc_seg": 73.84765, "aux.loss_seg": 0.08611, "aux.acc_seg": 72.64601, "loss": 0.2547, "time": 0.30077} +{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.17391, "decode.acc_seg": 74.47373, "aux.loss_seg": 0.08898, "aux.acc_seg": 73.16975, "loss": 0.26289, "time": 0.30002} +{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.16542, "decode.acc_seg": 75.03189, "aux.loss_seg": 0.08614, "aux.acc_seg": 73.69162, "loss": 0.25156, "time": 0.29978} +{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.16454, "decode.acc_seg": 75.24508, "aux.loss_seg": 0.08603, "aux.acc_seg": 73.8682, "loss": 0.25058, "time": 0.30001} +{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.17149, "decode.acc_seg": 74.40197, "aux.loss_seg": 0.08847, "aux.acc_seg": 73.06092, "loss": 0.25996, "time": 0.30046} +{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.17868, "decode.acc_seg": 76.27308, "aux.loss_seg": 0.0908, "aux.acc_seg": 74.9425, "loss": 0.26948, "time": 0.3} +{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.17064, "decode.acc_seg": 76.52, "aux.loss_seg": 0.08783, "aux.acc_seg": 75.15952, "loss": 0.25847, "time": 0.29995} +{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.16938, "decode.acc_seg": 74.82515, "aux.loss_seg": 0.08787, "aux.acc_seg": 73.45686, "loss": 0.25724, "time": 0.30245} +{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.17087, "decode.acc_seg": 74.93391, "aux.loss_seg": 0.08793, "aux.acc_seg": 73.5765, "loss": 0.2588, "time": 0.30094} +{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.17497, "decode.acc_seg": 76.46935, "aux.loss_seg": 0.09051, "aux.acc_seg": 75.10542, "loss": 0.26548, "time": 0.29977} +{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.16698, "decode.acc_seg": 75.25505, "aux.loss_seg": 0.08612, "aux.acc_seg": 73.86639, "loss": 0.2531, "time": 0.30062} +{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.17643, "decode.acc_seg": 75.28752, "aux.loss_seg": 0.09037, "aux.acc_seg": 73.90959, "loss": 0.2668, "time": 0.30142} +{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.17409, "decode.acc_seg": 75.33455, "aux.loss_seg": 0.09059, "aux.acc_seg": 73.93418, "loss": 0.26468, "time": 0.30275} +{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15858, "decode.acc_seg": 75.57842, "aux.loss_seg": 0.08341, "aux.acc_seg": 74.17294, "loss": 0.24199, "time": 0.30145} +{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.16296, "decode.acc_seg": 75.49694, "aux.loss_seg": 0.08454, "aux.acc_seg": 74.15271, "loss": 0.2475, "time": 0.30145} +{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.17523, "decode.acc_seg": 73.76167, "aux.loss_seg": 0.08955, "aux.acc_seg": 72.4323, "loss": 0.26477, "time": 0.30105} +{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.16837, "decode.acc_seg": 75.06043, "aux.loss_seg": 0.08796, "aux.acc_seg": 73.68037, "loss": 0.25633, "time": 0.30083} +{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.17329, "decode.acc_seg": 74.66972, "aux.loss_seg": 0.08933, "aux.acc_seg": 73.36583, "loss": 0.26263, "time": 0.30231} +{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 36160, "data_time": 0.00619, "decode.loss_seg": 0.17228, "decode.acc_seg": 74.77985, "aux.loss_seg": 0.08807, "aux.acc_seg": 73.47067, "loss": 0.26035, "time": 0.30413} +{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.17309, "decode.acc_seg": 74.58219, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.12928, "loss": 0.26349, "time": 0.30307} +{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.16676, "decode.acc_seg": 74.32073, "aux.loss_seg": 0.08741, "aux.acc_seg": 72.83221, "loss": 0.25416, "time": 0.30258} +{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.17408, "decode.acc_seg": 75.96017, "aux.loss_seg": 0.09061, "aux.acc_seg": 74.58879, "loss": 0.26469, "time": 0.30226} +{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.17352, "decode.acc_seg": 73.75882, "aux.loss_seg": 0.08961, "aux.acc_seg": 72.47823, "loss": 0.26313, "time": 0.30112} +{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.17513, "decode.acc_seg": 75.58071, "aux.loss_seg": 0.09064, "aux.acc_seg": 74.26981, "loss": 0.26577, "time": 0.30282} +{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 36160, "data_time": 0.16967, "decode.loss_seg": 0.17959, "decode.acc_seg": 75.29586, "aux.loss_seg": 0.09167, "aux.acc_seg": 74.00451, "loss": 0.27126, "time": 0.46541} +{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.16642, "decode.acc_seg": 76.37905, "aux.loss_seg": 0.0862, "aux.acc_seg": 75.0652, "loss": 0.25262, "time": 0.29959} +{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.16791, "decode.acc_seg": 75.98225, "aux.loss_seg": 0.08756, "aux.acc_seg": 74.58509, "loss": 0.25547, "time": 0.29851} +{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.16785, "decode.acc_seg": 73.93167, "aux.loss_seg": 0.08757, "aux.acc_seg": 72.56902, "loss": 0.25542, "time": 0.2994} +{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.16597, "decode.acc_seg": 74.28899, "aux.loss_seg": 0.08571, "aux.acc_seg": 73.01825, "loss": 0.25168, "time": 0.30053} +{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.16905, "decode.acc_seg": 74.73531, "aux.loss_seg": 0.08748, "aux.acc_seg": 73.36674, "loss": 0.25654, "time": 0.30044} +{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.16497, "decode.acc_seg": 74.25004, "aux.loss_seg": 0.0865, "aux.acc_seg": 72.80316, "loss": 0.25146, "time": 0.29996} +{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.17071, "decode.acc_seg": 74.63064, "aux.loss_seg": 0.08714, "aux.acc_seg": 73.30156, "loss": 0.25785, "time": 0.30079} +{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.16992, "decode.acc_seg": 75.9346, "aux.loss_seg": 0.08656, "aux.acc_seg": 74.60917, "loss": 0.25648, "time": 0.30097} +{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.18074, "decode.acc_seg": 75.77011, "aux.loss_seg": 0.09275, "aux.acc_seg": 74.43273, "loss": 0.27349, "time": 0.30156} +{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.16768, "decode.acc_seg": 74.82913, "aux.loss_seg": 0.08524, "aux.acc_seg": 73.5495, "loss": 0.25292, "time": 0.30176} +{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.16608, "decode.acc_seg": 76.2046, "aux.loss_seg": 0.08642, "aux.acc_seg": 74.89435, "loss": 0.2525, "time": 0.30055} +{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.16391, "decode.acc_seg": 75.58089, "aux.loss_seg": 0.08631, "aux.acc_seg": 74.23379, "loss": 0.25023, "time": 0.3023} +{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.16436, "decode.acc_seg": 75.57645, "aux.loss_seg": 0.08585, "aux.acc_seg": 74.21441, "loss": 0.25021, "time": 0.30133} +{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.16711, "decode.acc_seg": 76.90228, "aux.loss_seg": 0.08816, "aux.acc_seg": 75.48281, "loss": 0.25527, "time": 0.30182} +{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.16471, "decode.acc_seg": 74.61492, "aux.loss_seg": 0.08492, "aux.acc_seg": 73.27917, "loss": 0.24962, "time": 0.30182} +{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.17712, "decode.acc_seg": 75.28509, "aux.loss_seg": 0.0915, "aux.acc_seg": 73.94824, "loss": 0.26861, "time": 0.30236} +{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4858, "mAcc": 0.6034, "aAcc": 0.8236, "IoU.wall": 0.7677, "IoU.building": 0.8084, "IoU.sky": 0.9365, "IoU.floor": 0.8073, "IoU.tree": 0.7312, "IoU.ceiling": 0.835, "IoU.road": 0.8076, "IoU.bed ": 0.8746, "IoU.windowpane": 0.5946, "IoU.grass": 0.7082, "IoU.cabinet": 0.6142, "IoU.sidewalk": 0.6263, "IoU.person": 0.7801, "IoU.earth": 0.3668, "IoU.door": 0.4396, "IoU.table": 0.5882, "IoU.mountain": 0.5677, "IoU.plant": 0.5187, "IoU.curtain": 0.704, "IoU.chair": 0.5643, "IoU.car": 0.8289, "IoU.water": 0.5244, "IoU.painting": 0.7098, "IoU.sofa": 0.6163, "IoU.shelf": 0.4209, "IoU.house": 0.3902, "IoU.sea": 0.554, "IoU.mirror": 0.6281, "IoU.rug": 0.6356, "IoU.field": 0.3454, "IoU.armchair": 0.3844, "IoU.seat": 0.5789, "IoU.fence": 0.4435, "IoU.desk": 0.4904, "IoU.rock": 0.3397, "IoU.wardrobe": 0.4955, "IoU.lamp": 0.6027, "IoU.bathtub": 0.732, "IoU.railing": 0.337, "IoU.cushion": 0.5548, "IoU.base": 0.3419, "IoU.box": 0.2753, "IoU.column": 0.4077, "IoU.signboard": 0.3612, "IoU.chest of drawers": 0.4025, "IoU.counter": 0.3255, "IoU.sand": 0.5596, "IoU.sink": 0.6936, "IoU.skyscraper": 0.617, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7464, "IoU.grandstand": 0.3933, "IoU.path": 0.2699, "IoU.stairs": 0.3287, "IoU.runway": 0.6993, "IoU.case": 0.4717, "IoU.pool table": 0.9185, "IoU.pillow": 0.5532, "IoU.screen door": 0.63, "IoU.stairway": 0.3055, "IoU.river": 0.123, "IoU.bridge": 0.7195, "IoU.bookcase": 0.4019, "IoU.blind": NaN, "IoU.coffee table": 0.5546, "IoU.toilet": 0.8272, "IoU.flower": 0.43, "IoU.book": 0.449, "IoU.hill": 0.1136, "IoU.bench": 0.4404, "IoU.countertop": 0.5232, "IoU.stove": 0.7338, "IoU.palm": 0.4808, "IoU.kitchen island": 0.3769, "IoU.computer": 0.683, "IoU.swivel chair": 0.3904, "IoU.boat": 0.5252, "IoU.bar": 0.3327, "IoU.arcade machine": 0.4584, "IoU.hovel": 0.2773, "IoU.bus": 0.8262, "IoU.towel": 0.6207, "IoU.light": 0.5416, "IoU.truck": 0.2743, "IoU.tower": 0.0434, "IoU.chandelier": 0.6268, "IoU.awning": 0.2816, "IoU.streetlight": 0.2264, "IoU.booth": 0.6122, "IoU.television receiver": NaN, "IoU.airplane": 0.5915, "IoU.dirt track": 0.1178, "IoU.apparel": 0.3243, "IoU.pole": 0.1935, "IoU.land": 0.0391, "IoU.bannister": 0.0811, "IoU.escalator": 0.2609, "IoU.ottoman": 0.3875, "IoU.bottle": NaN, "IoU.buffet": 0.3893, "IoU.poster": 0.3009, "IoU.stage": 0.2017, "IoU.van": 0.3851, "IoU.ship": 0.6264, "IoU.fountain": 0.2136, "IoU.conveyer belt": 0.865, "IoU.canopy": 0.3095, "IoU.washer": 0.7105, "IoU.plaything": 0.2066, "IoU.swimming pool": 0.7798, "IoU.stool": 0.3676, "IoU.barrel": 0.553, "IoU.basket": 0.3433, "IoU.waterfall": 0.3316, "IoU.tent": 0.9109, "IoU.bag": 0.1036, "IoU.minibike": 0.7442, "IoU.cradle": NaN, "IoU.oven": 0.5112, "IoU.ball": 0.4595, "IoU.food": 0.3737, "IoU.step": 0.0943, "IoU.tank": 0.4811, "IoU.trade name": 0.2661, "IoU.microwave": 0.8122, "IoU.pot": 0.5589, "IoU.animal": NaN, "IoU.bicycle": 0.5476, "IoU.lake": 0.5243, "IoU.dishwasher": 0.625, "IoU.screen": 0.7507, "IoU.blanket": 0.1506, "IoU.sculpture": 0.6864, "IoU.hood": 0.5898, "IoU.sconce": 0.4397, "IoU.vase": 0.3479, "IoU.traffic light": 0.2792, "IoU.tray": 0.0528, "IoU.ashcan": 0.3819, "IoU.fan": 0.6217, "IoU.pier": 0.5255, "IoU.crt screen": 0.0881, "IoU.plate": 0.5569, "IoU.monitor": 0.2963, "IoU.bulletin board": 0.465, "IoU.shower": 0.0305, "IoU.radiator": 0.6236, "IoU.glass": 0.1625, "IoU.clock": 0.4284, "IoU.flag": 0.4423, "Acc.wall": 0.8756, "Acc.building": 0.9291, "Acc.sky": 0.9702, "Acc.floor": 0.8881, "Acc.tree": 0.8772, "Acc.ceiling": 0.9211, "Acc.road": 0.8677, "Acc.bed ": 0.9471, "Acc.windowpane": 0.7881, "Acc.grass": 0.8574, "Acc.cabinet": 0.7484, "Acc.sidewalk": 0.8507, "Acc.person": 0.9167, "Acc.earth": 0.5028, "Acc.door": 0.5483, "Acc.table": 0.7466, "Acc.mountain": 0.7235, "Acc.plant": 0.6184, "Acc.curtain": 0.8306, "Acc.chair": 0.7368, "Acc.car": 0.91, "Acc.water": 0.6657, "Acc.painting": 0.8135, "Acc.sofa": 0.8316, "Acc.shelf": 0.5775, "Acc.house": 0.4835, "Acc.sea": 0.816, "Acc.mirror": 0.6992, "Acc.rug": 0.7888, "Acc.field": 0.4801, "Acc.armchair": 0.4788, "Acc.seat": 0.7966, "Acc.fence": 0.6141, "Acc.desk": 0.6585, "Acc.rock": 0.5592, "Acc.wardrobe": 0.6233, "Acc.lamp": 0.7403, "Acc.bathtub": 0.8082, "Acc.railing": 0.4704, "Acc.cushion": 0.6577, "Acc.base": 0.4555, "Acc.box": 0.3728, "Acc.column": 0.525, "Acc.signboard": 0.5024, "Acc.chest of drawers": 0.5867, "Acc.counter": 0.3932, "Acc.sand": 0.7869, "Acc.sink": 0.811, "Acc.skyscraper": 0.7642, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8297, "Acc.grandstand": 0.6561, "Acc.path": 0.3736, "Acc.stairs": 0.4259, "Acc.runway": 0.8883, "Acc.case": 0.6106, "Acc.pool table": 0.9652, "Acc.pillow": 0.6831, "Acc.screen door": 0.7566, "Acc.stairway": 0.3682, "Acc.river": 0.2651, "Acc.bridge": 0.7838, "Acc.bookcase": 0.4698, "Acc.blind": NaN, "Acc.coffee table": 0.757, "Acc.toilet": 0.9009, "Acc.flower": 0.5296, "Acc.book": 0.6562, "Acc.hill": 0.2081, "Acc.bench": 0.4939, "Acc.countertop": 0.6509, "Acc.stove": 0.8269, "Acc.palm": 0.7338, "Acc.kitchen island": 0.7125, "Acc.computer": 0.8312, "Acc.swivel chair": 0.5082, "Acc.boat": 0.646, "Acc.bar": 0.4422, "Acc.arcade machine": 0.495, "Acc.hovel": 0.3339, "Acc.bus": 0.9597, "Acc.towel": 0.7872, "Acc.light": 0.6407, "Acc.truck": 0.4153, "Acc.tower": 0.0799, "Acc.chandelier": 0.772, "Acc.awning": 0.3222, "Acc.streetlight": 0.2897, "Acc.booth": 0.7304, "Acc.television receiver": NaN, "Acc.airplane": 0.7435, "Acc.dirt track": 0.1546, "Acc.apparel": 0.4841, "Acc.pole": 0.2894, "Acc.land": 0.0581, "Acc.bannister": 0.1043, "Acc.escalator": 0.2788, "Acc.ottoman": 0.5854, "Acc.bottle": NaN, "Acc.buffet": 0.4513, "Acc.poster": 0.4931, "Acc.stage": 0.264, "Acc.van": 0.5112, "Acc.ship": 0.9238, "Acc.fountain": 0.2159, "Acc.conveyer belt": 0.909, "Acc.canopy": 0.4772, "Acc.washer": 0.76, "Acc.plaything": 0.3495, "Acc.swimming pool": 0.8907, "Acc.stool": 0.5136, "Acc.barrel": 0.7042, "Acc.basket": 0.4166, "Acc.waterfall": 0.4025, "Acc.tent": 0.979, "Acc.bag": 0.1223, "Acc.minibike": 0.8937, "Acc.cradle": NaN, "Acc.oven": 0.645, "Acc.ball": 0.5009, "Acc.food": 0.4433, "Acc.step": 0.1014, "Acc.tank": 0.5656, "Acc.trade name": 0.3035, "Acc.microwave": 0.9019, "Acc.pot": 0.617, "Acc.animal": NaN, "Acc.bicycle": 0.7839, "Acc.lake": 0.6334, "Acc.dishwasher": 0.7786, "Acc.screen": 0.8981, "Acc.blanket": 0.2007, "Acc.sculpture": 0.8195, "Acc.hood": 0.6728, "Acc.sconce": 0.5251, "Acc.vase": 0.4921, "Acc.traffic light": 0.3725, "Acc.tray": 0.1053, "Acc.ashcan": 0.5202, "Acc.fan": 0.7337, "Acc.pier": 0.8471, "Acc.crt screen": 0.1998, "Acc.plate": 0.7114, "Acc.monitor": 0.3608, "Acc.bulletin board": 0.5515, "Acc.shower": 0.0334, "Acc.radiator": 0.7757, "Acc.glass": 0.1823, "Acc.clock": 0.5345, "Acc.flag": 0.4938} +{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 36160, "data_time": 1.38594, "decode.loss_seg": 0.16879, "decode.acc_seg": 73.40573, "aux.loss_seg": 0.08676, "aux.acc_seg": 72.15018, "loss": 0.25554, "time": 1.68388} +{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 36160, "data_time": 0.00439, "decode.loss_seg": 0.18278, "decode.acc_seg": 76.09369, "aux.loss_seg": 0.09363, "aux.acc_seg": 74.73136, "loss": 0.27642, "time": 0.3015} +{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 36160, "data_time": 0.00426, "decode.loss_seg": 0.16384, "decode.acc_seg": 73.80041, "aux.loss_seg": 0.08456, "aux.acc_seg": 72.51454, "loss": 0.2484, "time": 0.30075} +{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 36160, "data_time": 0.00437, "decode.loss_seg": 0.16476, "decode.acc_seg": 75.67982, "aux.loss_seg": 0.08532, "aux.acc_seg": 74.35185, "loss": 0.25008, "time": 0.30054} +{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.17067, "decode.acc_seg": 76.11851, "aux.loss_seg": 0.08641, "aux.acc_seg": 74.94097, "loss": 0.25708, "time": 0.30206} +{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 36160, "data_time": 0.00431, "decode.loss_seg": 0.17885, "decode.acc_seg": 75.36237, "aux.loss_seg": 0.09251, "aux.acc_seg": 73.98078, "loss": 0.27136, "time": 0.30133} +{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 36160, "data_time": 0.00443, "decode.loss_seg": 0.16775, "decode.acc_seg": 75.69941, "aux.loss_seg": 0.08708, "aux.acc_seg": 74.34438, "loss": 0.25483, "time": 0.29976} +{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 36160, "data_time": 0.00437, "decode.loss_seg": 0.17764, "decode.acc_seg": 75.21968, "aux.loss_seg": 0.0932, "aux.acc_seg": 73.66015, "loss": 0.27084, "time": 0.30063} +{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 36160, "data_time": 0.17539, "decode.loss_seg": 0.16778, "decode.acc_seg": 75.99469, "aux.loss_seg": 0.0869, "aux.acc_seg": 74.68031, "loss": 0.25469, "time": 0.46979} +{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.1741, "decode.acc_seg": 76.45415, "aux.loss_seg": 0.08918, "aux.acc_seg": 75.23461, "loss": 0.26329, "time": 0.29947} +{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.1745, "decode.acc_seg": 74.96946, "aux.loss_seg": 0.08969, "aux.acc_seg": 73.58495, "loss": 0.26419, "time": 0.29929} +{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.17508, "decode.acc_seg": 74.71961, "aux.loss_seg": 0.08908, "aux.acc_seg": 73.38544, "loss": 0.26416, "time": 0.30033} +{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 36160, "data_time": 0.00415, "decode.loss_seg": 0.17312, "decode.acc_seg": 74.99635, "aux.loss_seg": 0.08829, "aux.acc_seg": 73.79251, "loss": 0.2614, "time": 0.30084} +{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.16413, "decode.acc_seg": 74.58546, "aux.loss_seg": 0.08537, "aux.acc_seg": 73.22632, "loss": 0.2495, "time": 0.30053} +{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.16712, "decode.acc_seg": 76.26091, "aux.loss_seg": 0.08817, "aux.acc_seg": 74.90578, "loss": 0.25529, "time": 0.3005} +{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.16545, "decode.acc_seg": 74.66873, "aux.loss_seg": 0.08477, "aux.acc_seg": 73.39998, "loss": 0.25022, "time": 0.30326} +{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.16812, "decode.acc_seg": 74.6565, "aux.loss_seg": 0.08742, "aux.acc_seg": 73.2762, "loss": 0.25554, "time": 0.30329} +{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 36160, "data_time": 0.00412, "decode.loss_seg": 0.16483, "decode.acc_seg": 75.01727, "aux.loss_seg": 0.08591, "aux.acc_seg": 73.65466, "loss": 0.25073, "time": 0.30214} +{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.16641, "decode.acc_seg": 75.7894, "aux.loss_seg": 0.08573, "aux.acc_seg": 74.38409, "loss": 0.25213, "time": 0.30195} +{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 36160, "data_time": 0.00441, "decode.loss_seg": 0.16479, "decode.acc_seg": 74.73253, "aux.loss_seg": 0.08543, "aux.acc_seg": 73.38411, "loss": 0.25022, "time": 0.30002} +{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.16708, "decode.acc_seg": 74.80039, "aux.loss_seg": 0.08697, "aux.acc_seg": 73.42631, "loss": 0.25405, "time": 0.29978} +{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 36160, "data_time": 0.00393, "decode.loss_seg": 0.17229, "decode.acc_seg": 76.89738, "aux.loss_seg": 0.08897, "aux.acc_seg": 75.59727, "loss": 0.26126, "time": 0.30113} +{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 36160, "data_time": 0.00405, "decode.loss_seg": 0.16243, "decode.acc_seg": 75.24463, "aux.loss_seg": 0.08437, "aux.acc_seg": 73.94421, "loss": 0.2468, "time": 0.30064} +{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 36160, "data_time": 0.00414, "decode.loss_seg": 0.16957, "decode.acc_seg": 75.65827, "aux.loss_seg": 0.08764, "aux.acc_seg": 74.27099, "loss": 0.25721, "time": 0.30024} +{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.164, "decode.acc_seg": 74.93076, "aux.loss_seg": 0.08585, "aux.acc_seg": 73.57653, "loss": 0.24984, "time": 0.30006} +{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.16923, "decode.acc_seg": 75.56601, "aux.loss_seg": 0.08853, "aux.acc_seg": 74.27688, "loss": 0.25776, "time": 0.29986} +{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.1657, "decode.acc_seg": 74.75068, "aux.loss_seg": 0.0862, "aux.acc_seg": 73.43173, "loss": 0.2519, "time": 0.29984} +{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 36160, "data_time": 0.00436, "decode.loss_seg": 0.17502, "decode.acc_seg": 75.3447, "aux.loss_seg": 0.09009, "aux.acc_seg": 73.92029, "loss": 0.26511, "time": 0.29986} +{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 36160, "data_time": 0.00433, "decode.loss_seg": 0.1614, "decode.acc_seg": 74.25172, "aux.loss_seg": 0.08231, "aux.acc_seg": 73.01207, "loss": 0.2437, "time": 0.30017} +{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.17303, "decode.acc_seg": 73.7359, "aux.loss_seg": 0.0883, "aux.acc_seg": 72.39114, "loss": 0.26133, "time": 0.30158} +{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 36160, "data_time": 0.00425, "decode.loss_seg": 0.16827, "decode.acc_seg": 74.5774, "aux.loss_seg": 0.08753, "aux.acc_seg": 73.18194, "loss": 0.2558, "time": 0.30024} +{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 36160, "data_time": 0.00433, "decode.loss_seg": 0.16268, "decode.acc_seg": 75.41731, "aux.loss_seg": 0.08427, "aux.acc_seg": 74.11641, "loss": 0.24695, "time": 0.30051} +{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.18172, "decode.acc_seg": 75.17832, "aux.loss_seg": 0.09456, "aux.acc_seg": 73.81254, "loss": 0.27627, "time": 0.30163} +{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 36160, "data_time": 0.16925, "decode.loss_seg": 0.17396, "decode.acc_seg": 74.97433, "aux.loss_seg": 0.08912, "aux.acc_seg": 73.67343, "loss": 0.26308, "time": 0.46457} +{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.16588, "decode.acc_seg": 74.84685, "aux.loss_seg": 0.08658, "aux.acc_seg": 73.53834, "loss": 0.25246, "time": 0.30024} +{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.17158, "decode.acc_seg": 75.10981, "aux.loss_seg": 0.08925, "aux.acc_seg": 73.60244, "loss": 0.26083, "time": 0.2996} +{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.17687, "decode.acc_seg": 74.76123, "aux.loss_seg": 0.09027, "aux.acc_seg": 73.47177, "loss": 0.26714, "time": 0.29953} +{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.17175, "decode.acc_seg": 75.53707, "aux.loss_seg": 0.08794, "aux.acc_seg": 74.17051, "loss": 0.25968, "time": 0.30002} +{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.16445, "decode.acc_seg": 76.12116, "aux.loss_seg": 0.08441, "aux.acc_seg": 74.82621, "loss": 0.24886, "time": 0.30044} +{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.16599, "decode.acc_seg": 74.13551, "aux.loss_seg": 0.08547, "aux.acc_seg": 72.79685, "loss": 0.25146, "time": 0.30274} +{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.15956, "decode.acc_seg": 74.9831, "aux.loss_seg": 0.08213, "aux.acc_seg": 73.73254, "loss": 0.24169, "time": 0.30383} +{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.16207, "decode.acc_seg": 76.21993, "aux.loss_seg": 0.08572, "aux.acc_seg": 74.78134, "loss": 0.2478, "time": 0.3035} +{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.16566, "decode.acc_seg": 75.48736, "aux.loss_seg": 0.08494, "aux.acc_seg": 74.19769, "loss": 0.25061, "time": 0.303} +{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.17117, "decode.acc_seg": 75.15216, "aux.loss_seg": 0.08896, "aux.acc_seg": 73.81467, "loss": 0.26013, "time": 0.3039} +{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.17176, "decode.acc_seg": 74.73547, "aux.loss_seg": 0.08857, "aux.acc_seg": 73.33374, "loss": 0.26032, "time": 0.30111} +{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 36160, "data_time": 0.00451, "decode.loss_seg": 0.16723, "decode.acc_seg": 74.53779, "aux.loss_seg": 0.08622, "aux.acc_seg": 73.27173, "loss": 0.25345, "time": 0.30001} +{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.16564, "decode.acc_seg": 75.31035, "aux.loss_seg": 0.08574, "aux.acc_seg": 74.01654, "loss": 0.25138, "time": 0.30018} +{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.17223, "decode.acc_seg": 75.38481, "aux.loss_seg": 0.08876, "aux.acc_seg": 74.12123, "loss": 0.26099, "time": 0.30077} +{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 36160, "data_time": 0.00443, "decode.loss_seg": 0.17481, "decode.acc_seg": 74.89603, "aux.loss_seg": 0.09087, "aux.acc_seg": 73.4711, "loss": 0.26568, "time": 0.3007} +{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.1579, "decode.acc_seg": 74.46429, "aux.loss_seg": 0.08355, "aux.acc_seg": 73.13363, "loss": 0.24145, "time": 0.30048} +{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.16307, "decode.acc_seg": 76.92291, "aux.loss_seg": 0.08331, "aux.acc_seg": 75.71644, "loss": 0.24637, "time": 0.29959} +{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.17159, "decode.acc_seg": 75.30019, "aux.loss_seg": 0.08722, "aux.acc_seg": 74.12986, "loss": 0.25881, "time": 0.30091} +{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.17817, "decode.acc_seg": 74.89697, "aux.loss_seg": 0.09224, "aux.acc_seg": 73.50718, "loss": 0.27041, "time": 0.30296} +{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.16928, "decode.acc_seg": 75.63625, "aux.loss_seg": 0.08637, "aux.acc_seg": 74.35714, "loss": 0.25565, "time": 0.30241} +{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.16179, "decode.acc_seg": 75.21716, "aux.loss_seg": 0.0842, "aux.acc_seg": 73.84273, "loss": 0.24599, "time": 0.30077} +{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.16675, "decode.acc_seg": 73.83296, "aux.loss_seg": 0.08663, "aux.acc_seg": 72.48859, "loss": 0.25337, "time": 0.30096} +{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17011, "decode.acc_seg": 74.52057, "aux.loss_seg": 0.0872, "aux.acc_seg": 73.21594, "loss": 0.25731, "time": 0.3001} +{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.17708, "decode.acc_seg": 75.89964, "aux.loss_seg": 0.09298, "aux.acc_seg": 74.42619, "loss": 0.27005, "time": 0.30372} +{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 36160, "data_time": 0.17645, "decode.loss_seg": 0.18867, "decode.acc_seg": 75.1718, "aux.loss_seg": 0.09405, "aux.acc_seg": 73.80363, "loss": 0.28271, "time": 0.47176} +{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.1589, "decode.acc_seg": 75.89895, "aux.loss_seg": 0.08258, "aux.acc_seg": 74.60786, "loss": 0.24147, "time": 0.30135} +{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.17207, "decode.acc_seg": 75.29257, "aux.loss_seg": 0.09028, "aux.acc_seg": 73.90083, "loss": 0.26236, "time": 0.29949} +{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.16474, "decode.acc_seg": 74.6617, "aux.loss_seg": 0.08564, "aux.acc_seg": 73.3275, "loss": 0.25038, "time": 0.29999} +{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.16653, "decode.acc_seg": 74.9105, "aux.loss_seg": 0.08716, "aux.acc_seg": 73.51007, "loss": 0.25369, "time": 0.29931} +{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.17043, "decode.acc_seg": 76.12785, "aux.loss_seg": 0.0886, "aux.acc_seg": 74.63801, "loss": 0.25903, "time": 0.29899} +{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.15856, "decode.acc_seg": 73.21351, "aux.loss_seg": 0.08185, "aux.acc_seg": 72.02325, "loss": 0.24041, "time": 0.29976} +{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.16911, "decode.acc_seg": 75.37981, "aux.loss_seg": 0.08694, "aux.acc_seg": 74.03007, "loss": 0.25606, "time": 0.30289} +{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15947, "decode.acc_seg": 74.4531, "aux.loss_seg": 0.08261, "aux.acc_seg": 73.24637, "loss": 0.24208, "time": 0.30302} +{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.16473, "decode.acc_seg": 76.07395, "aux.loss_seg": 0.08447, "aux.acc_seg": 74.80879, "loss": 0.2492, "time": 0.30476} +{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.1587, "decode.acc_seg": 74.36618, "aux.loss_seg": 0.08327, "aux.acc_seg": 73.04209, "loss": 0.24198, "time": 0.30426} +{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.16664, "decode.acc_seg": 74.63934, "aux.loss_seg": 0.08655, "aux.acc_seg": 73.29812, "loss": 0.25319, "time": 0.30358} +{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.17049, "decode.acc_seg": 74.93526, "aux.loss_seg": 0.08884, "aux.acc_seg": 73.51279, "loss": 0.25934, "time": 0.30233} +{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.17319, "decode.acc_seg": 75.34305, "aux.loss_seg": 0.08972, "aux.acc_seg": 73.91808, "loss": 0.26292, "time": 0.30198} +{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.17333, "decode.acc_seg": 75.80044, "aux.loss_seg": 0.08792, "aux.acc_seg": 74.4762, "loss": 0.26125, "time": 0.30181} +{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16761, "decode.acc_seg": 74.33354, "aux.loss_seg": 0.08762, "aux.acc_seg": 72.95799, "loss": 0.25524, "time": 0.30296} +{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.17065, "decode.acc_seg": 75.97539, "aux.loss_seg": 0.08901, "aux.acc_seg": 74.61876, "loss": 0.25966, "time": 0.30275} +{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.16449, "decode.acc_seg": 75.03784, "aux.loss_seg": 0.08652, "aux.acc_seg": 73.63417, "loss": 0.25101, "time": 0.30257} +{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.16703, "decode.acc_seg": 75.36705, "aux.loss_seg": 0.08467, "aux.acc_seg": 74.14815, "loss": 0.2517, "time": 0.30195} +{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.16219, "decode.acc_seg": 74.8575, "aux.loss_seg": 0.08422, "aux.acc_seg": 73.55555, "loss": 0.24641, "time": 0.30302} +{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.16309, "decode.acc_seg": 74.96188, "aux.loss_seg": 0.08485, "aux.acc_seg": 73.63297, "loss": 0.24794, "time": 0.30196} +{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.16396, "decode.acc_seg": 74.95998, "aux.loss_seg": 0.0841, "aux.acc_seg": 73.70801, "loss": 0.24806, "time": 0.30349} +{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.17016, "decode.acc_seg": 73.50788, "aux.loss_seg": 0.08693, "aux.acc_seg": 72.22857, "loss": 0.25708, "time": 0.30206} +{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.16457, "decode.acc_seg": 75.07766, "aux.loss_seg": 0.08625, "aux.acc_seg": 73.66046, "loss": 0.25082, "time": 0.30345} +{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.17346, "decode.acc_seg": 75.95043, "aux.loss_seg": 0.08933, "aux.acc_seg": 74.68571, "loss": 0.26279, "time": 0.30335} +{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 36160, "data_time": 0.18213, "decode.loss_seg": 0.16994, "decode.acc_seg": 76.03402, "aux.loss_seg": 0.08772, "aux.acc_seg": 74.67865, "loss": 0.25766, "time": 0.47785} +{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15724, "decode.acc_seg": 74.42717, "aux.loss_seg": 0.08226, "aux.acc_seg": 73.1024, "loss": 0.2395, "time": 0.30184} +{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.16203, "decode.acc_seg": 75.23918, "aux.loss_seg": 0.08453, "aux.acc_seg": 73.98726, "loss": 0.24657, "time": 0.30298} +{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.15325, "decode.acc_seg": 75.96721, "aux.loss_seg": 0.07931, "aux.acc_seg": 74.81557, "loss": 0.23256, "time": 0.30142} +{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.17514, "decode.acc_seg": 75.27402, "aux.loss_seg": 0.09069, "aux.acc_seg": 73.93249, "loss": 0.26583, "time": 0.30225} +{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.16554, "decode.acc_seg": 74.55813, "aux.loss_seg": 0.08552, "aux.acc_seg": 73.25657, "loss": 0.25106, "time": 0.30193} +{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.17048, "decode.acc_seg": 75.7551, "aux.loss_seg": 0.08801, "aux.acc_seg": 74.43836, "loss": 0.2585, "time": 0.30015} +{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.17435, "decode.acc_seg": 74.7627, "aux.loss_seg": 0.0916, "aux.acc_seg": 73.242, "loss": 0.26595, "time": 0.3024} +{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.16318, "decode.acc_seg": 75.45437, "aux.loss_seg": 0.08505, "aux.acc_seg": 74.04726, "loss": 0.24823, "time": 0.30271} +{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.15832, "decode.acc_seg": 76.50041, "aux.loss_seg": 0.08161, "aux.acc_seg": 75.19657, "loss": 0.23993, "time": 0.30027} +{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.16034, "decode.acc_seg": 73.9818, "aux.loss_seg": 0.08367, "aux.acc_seg": 72.71813, "loss": 0.24401, "time": 0.30086} +{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.162, "decode.acc_seg": 74.75081, "aux.loss_seg": 0.08374, "aux.acc_seg": 73.39193, "loss": 0.24575, "time": 0.30059} +{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.17149, "decode.acc_seg": 75.54856, "aux.loss_seg": 0.09036, "aux.acc_seg": 74.15082, "loss": 0.26185, "time": 0.30115} +{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17515, "decode.acc_seg": 75.7849, "aux.loss_seg": 0.0907, "aux.acc_seg": 74.44648, "loss": 0.26586, "time": 0.30204} +{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.17491, "decode.acc_seg": 74.29986, "aux.loss_seg": 0.08999, "aux.acc_seg": 72.94776, "loss": 0.2649, "time": 0.30382} +{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.16048, "decode.acc_seg": 75.61811, "aux.loss_seg": 0.08292, "aux.acc_seg": 74.35202, "loss": 0.2434, "time": 0.3005} +{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.17132, "decode.acc_seg": 74.09605, "aux.loss_seg": 0.08923, "aux.acc_seg": 72.65014, "loss": 0.26055, "time": 0.30081} +{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.16077, "decode.acc_seg": 74.62699, "aux.loss_seg": 0.08399, "aux.acc_seg": 73.23706, "loss": 0.24476, "time": 0.30095} +{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.15238, "decode.acc_seg": 75.54732, "aux.loss_seg": 0.07916, "aux.acc_seg": 74.32518, "loss": 0.23154, "time": 0.30088} +{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.16306, "decode.acc_seg": 75.05882, "aux.loss_seg": 0.08473, "aux.acc_seg": 73.73905, "loss": 0.24779, "time": 0.30345} +{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.16645, "decode.acc_seg": 75.1768, "aux.loss_seg": 0.08672, "aux.acc_seg": 73.78439, "loss": 0.25317, "time": 0.30234} +{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.17522, "decode.acc_seg": 74.70064, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.19923, "loss": 0.26647, "time": 0.30588} +{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.1609, "decode.acc_seg": 76.92763, "aux.loss_seg": 0.08387, "aux.acc_seg": 75.54757, "loss": 0.24477, "time": 0.30313} +{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.16364, "decode.acc_seg": 75.6345, "aux.loss_seg": 0.08605, "aux.acc_seg": 74.25198, "loss": 0.24969, "time": 0.30298} +{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.1618, "decode.acc_seg": 74.46873, "aux.loss_seg": 0.08409, "aux.acc_seg": 73.25023, "loss": 0.24589, "time": 0.30162} +{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.16091, "decode.acc_seg": 74.4994, "aux.loss_seg": 0.08422, "aux.acc_seg": 73.10317, "loss": 0.24512, "time": 0.30229} +{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 36160, "data_time": 0.16918, "decode.loss_seg": 0.16232, "decode.acc_seg": 74.72889, "aux.loss_seg": 0.08522, "aux.acc_seg": 73.38505, "loss": 0.24754, "time": 0.46443} +{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.16385, "decode.acc_seg": 75.40644, "aux.loss_seg": 0.08558, "aux.acc_seg": 74.00122, "loss": 0.24943, "time": 0.30089} +{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 36160, "data_time": 0.00644, "decode.loss_seg": 0.16821, "decode.acc_seg": 74.83783, "aux.loss_seg": 0.0882, "aux.acc_seg": 73.34897, "loss": 0.25641, "time": 0.30025} +{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 36160, "data_time": 0.00644, "decode.loss_seg": 0.16344, "decode.acc_seg": 74.84641, "aux.loss_seg": 0.08631, "aux.acc_seg": 73.46655, "loss": 0.24975, "time": 0.30109} +{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 36160, "data_time": 0.00668, "decode.loss_seg": 0.16177, "decode.acc_seg": 75.92489, "aux.loss_seg": 0.08374, "aux.acc_seg": 74.61979, "loss": 0.24551, "time": 0.30086} +{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.16383, "decode.acc_seg": 74.44543, "aux.loss_seg": 0.08553, "aux.acc_seg": 73.09447, "loss": 0.24936, "time": 0.3001} +{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 36160, "data_time": 0.0067, "decode.loss_seg": 0.16582, "decode.acc_seg": 75.52693, "aux.loss_seg": 0.08426, "aux.acc_seg": 74.33435, "loss": 0.25009, "time": 0.3028} +{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.15778, "decode.acc_seg": 75.94341, "aux.loss_seg": 0.08335, "aux.acc_seg": 74.54616, "loss": 0.24114, "time": 0.30286} +{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.16328, "decode.acc_seg": 74.99211, "aux.loss_seg": 0.08697, "aux.acc_seg": 73.50531, "loss": 0.25025, "time": 0.3021} +{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.15509, "decode.acc_seg": 74.64954, "aux.loss_seg": 0.08189, "aux.acc_seg": 73.29532, "loss": 0.23698, "time": 0.30082} +{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.16568, "decode.acc_seg": 75.24492, "aux.loss_seg": 0.08563, "aux.acc_seg": 73.88126, "loss": 0.25131, "time": 0.30106} +{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.16372, "decode.acc_seg": 76.07397, "aux.loss_seg": 0.08521, "aux.acc_seg": 74.75595, "loss": 0.24894, "time": 0.30122} +{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 36160, "data_time": 0.00659, "decode.loss_seg": 0.1644, "decode.acc_seg": 75.39138, "aux.loss_seg": 0.08689, "aux.acc_seg": 73.99285, "loss": 0.25129, "time": 0.30198} +{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 36160, "data_time": 0.00667, "decode.loss_seg": 0.16391, "decode.acc_seg": 75.83143, "aux.loss_seg": 0.08588, "aux.acc_seg": 74.47483, "loss": 0.24979, "time": 0.30293} +{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 36160, "data_time": 0.00651, "decode.loss_seg": 0.15764, "decode.acc_seg": 74.61797, "aux.loss_seg": 0.08145, "aux.acc_seg": 73.38659, "loss": 0.2391, "time": 0.30272} +{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 36160, "data_time": 0.0064, "decode.loss_seg": 0.1661, "decode.acc_seg": 74.53586, "aux.loss_seg": 0.08587, "aux.acc_seg": 73.24042, "loss": 0.25197, "time": 0.30412} +{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.15916, "decode.acc_seg": 76.8256, "aux.loss_seg": 0.08322, "aux.acc_seg": 75.49281, "loss": 0.24239, "time": 0.30326} +{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.1562, "decode.acc_seg": 75.271, "aux.loss_seg": 0.08028, "aux.acc_seg": 74.05938, "loss": 0.23648, "time": 0.30307} +{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16189, "decode.acc_seg": 74.55552, "aux.loss_seg": 0.08356, "aux.acc_seg": 73.29121, "loss": 0.24545, "time": 0.30248} +{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 36160, "data_time": 0.00653, "decode.loss_seg": 0.16582, "decode.acc_seg": 73.52811, "aux.loss_seg": 0.08589, "aux.acc_seg": 72.18226, "loss": 0.25172, "time": 0.30208} +{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.16541, "decode.acc_seg": 75.15641, "aux.loss_seg": 0.08477, "aux.acc_seg": 73.94532, "loss": 0.25018, "time": 0.3029} +{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 36160, "data_time": 0.00667, "decode.loss_seg": 0.17098, "decode.acc_seg": 76.08101, "aux.loss_seg": 0.08927, "aux.acc_seg": 74.66507, "loss": 0.26024, "time": 0.30236} +{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 36160, "data_time": 0.00668, "decode.loss_seg": 0.16235, "decode.acc_seg": 75.4168, "aux.loss_seg": 0.08524, "aux.acc_seg": 73.98586, "loss": 0.24759, "time": 0.30245} +{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.16378, "decode.acc_seg": 75.44971, "aux.loss_seg": 0.08598, "aux.acc_seg": 74.04236, "loss": 0.24976, "time": 0.3018} +{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.16286, "decode.acc_seg": 75.72406, "aux.loss_seg": 0.08448, "aux.acc_seg": 74.4275, "loss": 0.24735, "time": 0.3039} +{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 36160, "data_time": 0.16493, "decode.loss_seg": 0.16401, "decode.acc_seg": 75.40281, "aux.loss_seg": 0.08642, "aux.acc_seg": 73.91932, "loss": 0.25043, "time": 0.46104} +{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.15911, "decode.acc_seg": 74.88205, "aux.loss_seg": 0.0832, "aux.acc_seg": 73.51522, "loss": 0.24232, "time": 0.3019} +{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.16225, "decode.acc_seg": 75.92991, "aux.loss_seg": 0.08418, "aux.acc_seg": 74.54038, "loss": 0.24642, "time": 0.30093} +{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.16246, "decode.acc_seg": 75.47828, "aux.loss_seg": 0.08519, "aux.acc_seg": 74.09561, "loss": 0.24765, "time": 0.30107} +{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.16052, "decode.acc_seg": 75.58027, "aux.loss_seg": 0.08232, "aux.acc_seg": 74.30108, "loss": 0.24284, "time": 0.3008} +{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15916, "decode.acc_seg": 76.39202, "aux.loss_seg": 0.08357, "aux.acc_seg": 75.01133, "loss": 0.24273, "time": 0.30084} +{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.1602, "decode.acc_seg": 74.54529, "aux.loss_seg": 0.08263, "aux.acc_seg": 73.28816, "loss": 0.24282, "time": 0.30234} +{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.16329, "decode.acc_seg": 76.10154, "aux.loss_seg": 0.08389, "aux.acc_seg": 74.76919, "loss": 0.24718, "time": 0.3022} +{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.1629, "decode.acc_seg": 75.24049, "aux.loss_seg": 0.08374, "aux.acc_seg": 74.00969, "loss": 0.24663, "time": 0.302} +{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16817, "decode.acc_seg": 76.08913, "aux.loss_seg": 0.08728, "aux.acc_seg": 74.71012, "loss": 0.25545, "time": 0.30237} +{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.16326, "decode.acc_seg": 76.42098, "aux.loss_seg": 0.08451, "aux.acc_seg": 75.12201, "loss": 0.24777, "time": 0.30125} +{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.1675, "decode.acc_seg": 74.91332, "aux.loss_seg": 0.08611, "aux.acc_seg": 73.63648, "loss": 0.25361, "time": 0.30067} +{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.1674, "decode.acc_seg": 75.50526, "aux.loss_seg": 0.08497, "aux.acc_seg": 74.27564, "loss": 0.25238, "time": 0.3012} +{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.17048, "decode.acc_seg": 75.27202, "aux.loss_seg": 0.08818, "aux.acc_seg": 73.96439, "loss": 0.25867, "time": 0.30095} +{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.16503, "decode.acc_seg": 74.5476, "aux.loss_seg": 0.08576, "aux.acc_seg": 73.23476, "loss": 0.25079, "time": 0.30096} +{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15604, "decode.acc_seg": 74.97134, "aux.loss_seg": 0.08209, "aux.acc_seg": 73.6105, "loss": 0.23813, "time": 0.3016} +{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.16176, "decode.acc_seg": 72.86157, "aux.loss_seg": 0.08585, "aux.acc_seg": 71.55076, "loss": 0.24762, "time": 0.30165} +{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.16168, "decode.acc_seg": 75.30303, "aux.loss_seg": 0.08335, "aux.acc_seg": 73.98598, "loss": 0.24503, "time": 0.30227} +{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.16884, "decode.acc_seg": 75.74058, "aux.loss_seg": 0.08583, "aux.acc_seg": 74.55696, "loss": 0.25467, "time": 0.30161} +{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16324, "decode.acc_seg": 75.77951, "aux.loss_seg": 0.08496, "aux.acc_seg": 74.47339, "loss": 0.2482, "time": 0.30156} +{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.16354, "decode.acc_seg": 75.33548, "aux.loss_seg": 0.08532, "aux.acc_seg": 73.95444, "loss": 0.24886, "time": 0.30153} +{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.167, "decode.acc_seg": 75.95346, "aux.loss_seg": 0.0871, "aux.acc_seg": 74.58594, "loss": 0.25409, "time": 0.30206} +{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.16262, "decode.acc_seg": 74.18396, "aux.loss_seg": 0.08542, "aux.acc_seg": 72.81529, "loss": 0.24804, "time": 0.30101} +{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.16362, "decode.acc_seg": 74.44335, "aux.loss_seg": 0.08467, "aux.acc_seg": 73.10739, "loss": 0.24829, "time": 0.30177} +{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.17113, "decode.acc_seg": 75.36967, "aux.loss_seg": 0.08926, "aux.acc_seg": 73.92832, "loss": 0.26039, "time": 0.30149} +{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 36160, "data_time": 0.17648, "decode.loss_seg": 0.16588, "decode.acc_seg": 77.09816, "aux.loss_seg": 0.08527, "aux.acc_seg": 75.7915, "loss": 0.25115, "time": 0.47178} +{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.1611, "decode.acc_seg": 75.45786, "aux.loss_seg": 0.08514, "aux.acc_seg": 74.12331, "loss": 0.24624, "time": 0.30039} +{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.167, "decode.acc_seg": 76.10847, "aux.loss_seg": 0.08563, "aux.acc_seg": 74.78674, "loss": 0.25262, "time": 0.3006} +{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.171, "decode.acc_seg": 74.60275, "aux.loss_seg": 0.08959, "aux.acc_seg": 73.10823, "loss": 0.26059, "time": 0.30167} +{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15687, "decode.acc_seg": 74.29774, "aux.loss_seg": 0.08179, "aux.acc_seg": 72.96254, "loss": 0.23866, "time": 0.30026} +{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.15633, "decode.acc_seg": 74.05125, "aux.loss_seg": 0.08214, "aux.acc_seg": 72.68077, "loss": 0.23847, "time": 0.30016} +{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.16537, "decode.acc_seg": 76.02073, "aux.loss_seg": 0.08611, "aux.acc_seg": 74.61503, "loss": 0.25148, "time": 0.3018} +{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.16002, "decode.acc_seg": 75.96725, "aux.loss_seg": 0.08347, "aux.acc_seg": 74.67384, "loss": 0.2435, "time": 0.30218} +{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.17253, "decode.acc_seg": 74.62068, "aux.loss_seg": 0.09075, "aux.acc_seg": 73.14505, "loss": 0.26328, "time": 0.30179} +{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.16258, "decode.acc_seg": 74.83647, "aux.loss_seg": 0.08353, "aux.acc_seg": 73.64361, "loss": 0.2461, "time": 0.30094} +{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.16601, "decode.acc_seg": 75.3606, "aux.loss_seg": 0.08535, "aux.acc_seg": 74.13213, "loss": 0.25136, "time": 0.29965} +{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.15521, "decode.acc_seg": 74.42012, "aux.loss_seg": 0.08097, "aux.acc_seg": 73.13721, "loss": 0.23618, "time": 0.29948} +{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.16485, "decode.acc_seg": 74.54594, "aux.loss_seg": 0.08578, "aux.acc_seg": 73.15803, "loss": 0.25063, "time": 0.29954} +{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.1647, "decode.acc_seg": 74.85096, "aux.loss_seg": 0.08615, "aux.acc_seg": 73.48298, "loss": 0.25085, "time": 0.29971} +{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.16457, "decode.acc_seg": 74.98584, "aux.loss_seg": 0.08668, "aux.acc_seg": 73.48508, "loss": 0.25125, "time": 0.30185} +{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.16749, "decode.acc_seg": 75.29904, "aux.loss_seg": 0.08798, "aux.acc_seg": 73.88504, "loss": 0.25548, "time": 0.30055} +{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.16641, "decode.acc_seg": 75.96478, "aux.loss_seg": 0.08744, "aux.acc_seg": 74.562, "loss": 0.25384, "time": 0.29975} +{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.16696, "decode.acc_seg": 74.26367, "aux.loss_seg": 0.08538, "aux.acc_seg": 73.05252, "loss": 0.25234, "time": 0.30101} +{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.15836, "decode.acc_seg": 76.76083, "aux.loss_seg": 0.08408, "aux.acc_seg": 75.3096, "loss": 0.24244, "time": 0.30179} +{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.16234, "decode.acc_seg": 75.60159, "aux.loss_seg": 0.08352, "aux.acc_seg": 74.25018, "loss": 0.24586, "time": 0.30151} +{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.16482, "decode.acc_seg": 74.99947, "aux.loss_seg": 0.08591, "aux.acc_seg": 73.71062, "loss": 0.25073, "time": 0.30148} +{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.17238, "decode.acc_seg": 75.19526, "aux.loss_seg": 0.08993, "aux.acc_seg": 73.79327, "loss": 0.26231, "time": 0.3016} +{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.16996, "decode.acc_seg": 75.96386, "aux.loss_seg": 0.08814, "aux.acc_seg": 74.63656, "loss": 0.2581, "time": 0.30159} +{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.17163, "decode.acc_seg": 76.23803, "aux.loss_seg": 0.08734, "aux.acc_seg": 74.95515, "loss": 0.25897, "time": 0.30174} +{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.16378, "decode.acc_seg": 76.42347, "aux.loss_seg": 0.08494, "aux.acc_seg": 75.06746, "loss": 0.24871, "time": 0.30166} +{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 36160, "data_time": 0.17108, "decode.loss_seg": 0.17135, "decode.acc_seg": 75.91655, "aux.loss_seg": 0.08971, "aux.acc_seg": 74.46915, "loss": 0.26105, "time": 0.46661} +{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.17007, "decode.acc_seg": 74.63511, "aux.loss_seg": 0.08625, "aux.acc_seg": 73.32807, "loss": 0.25632, "time": 0.30022} +{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.15103, "decode.acc_seg": 75.50751, "aux.loss_seg": 0.0803, "aux.acc_seg": 74.09341, "loss": 0.23133, "time": 0.30022} +{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.16582, "decode.acc_seg": 75.80504, "aux.loss_seg": 0.08566, "aux.acc_seg": 74.49548, "loss": 0.25148, "time": 0.30102} +{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.16371, "decode.acc_seg": 76.4345, "aux.loss_seg": 0.08484, "aux.acc_seg": 75.15488, "loss": 0.24856, "time": 0.30119} +{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.1572, "decode.acc_seg": 74.09043, "aux.loss_seg": 0.08238, "aux.acc_seg": 72.76552, "loss": 0.23959, "time": 0.30192} +{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15728, "decode.acc_seg": 75.48731, "aux.loss_seg": 0.08096, "aux.acc_seg": 74.25612, "loss": 0.23824, "time": 0.30147} +{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.17113, "decode.acc_seg": 75.67998, "aux.loss_seg": 0.08888, "aux.acc_seg": 74.35861, "loss": 0.26001, "time": 0.30191} +{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.16163, "decode.acc_seg": 74.87838, "aux.loss_seg": 0.08409, "aux.acc_seg": 73.53526, "loss": 0.24572, "time": 0.30406} +{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.16701, "decode.acc_seg": 75.16517, "aux.loss_seg": 0.08641, "aux.acc_seg": 73.80629, "loss": 0.25341, "time": 0.30307} +{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.16076, "decode.acc_seg": 76.3746, "aux.loss_seg": 0.08396, "aux.acc_seg": 75.08443, "loss": 0.24471, "time": 0.302} +{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.17085, "decode.acc_seg": 74.87306, "aux.loss_seg": 0.09054, "aux.acc_seg": 73.40512, "loss": 0.26139, "time": 0.30233} +{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15766, "decode.acc_seg": 75.57448, "aux.loss_seg": 0.08332, "aux.acc_seg": 74.1833, "loss": 0.24098, "time": 0.30255} +{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.16507, "decode.acc_seg": 74.99336, "aux.loss_seg": 0.08647, "aux.acc_seg": 73.55466, "loss": 0.25155, "time": 0.30219} +{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.16698, "decode.acc_seg": 74.92638, "aux.loss_seg": 0.0872, "aux.acc_seg": 73.49765, "loss": 0.25418, "time": 0.30159} +{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.1648, "decode.acc_seg": 74.02935, "aux.loss_seg": 0.08462, "aux.acc_seg": 72.74345, "loss": 0.24942, "time": 0.303} +{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.16652, "decode.acc_seg": 77.45317, "aux.loss_seg": 0.08662, "aux.acc_seg": 76.08799, "loss": 0.25314, "time": 0.30076} +{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.16579, "decode.acc_seg": 75.87662, "aux.loss_seg": 0.08709, "aux.acc_seg": 74.41317, "loss": 0.25288, "time": 0.30029} +{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.16704, "decode.acc_seg": 76.97053, "aux.loss_seg": 0.08688, "aux.acc_seg": 75.60991, "loss": 0.25392, "time": 0.3022} +{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.15952, "decode.acc_seg": 75.15749, "aux.loss_seg": 0.08231, "aux.acc_seg": 73.96707, "loss": 0.24183, "time": 0.30123} +{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.16101, "decode.acc_seg": 74.9987, "aux.loss_seg": 0.0823, "aux.acc_seg": 73.80145, "loss": 0.24331, "time": 0.30208} +{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.1598, "decode.acc_seg": 76.57418, "aux.loss_seg": 0.08364, "aux.acc_seg": 75.17624, "loss": 0.24344, "time": 0.30249} +{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.16081, "decode.acc_seg": 75.90188, "aux.loss_seg": 0.0829, "aux.acc_seg": 74.65166, "loss": 0.24371, "time": 0.30319} +{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.15792, "decode.acc_seg": 75.78018, "aux.loss_seg": 0.0824, "aux.acc_seg": 74.47625, "loss": 0.24032, "time": 0.3014} +{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.1613, "decode.acc_seg": 75.08377, "aux.loss_seg": 0.08406, "aux.acc_seg": 73.72274, "loss": 0.24536, "time": 0.3012} +{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.15972, "decode.acc_seg": 74.75517, "aux.loss_seg": 0.08286, "aux.acc_seg": 73.50026, "loss": 0.24258, "time": 0.30146} +{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 36160, "data_time": 0.1419, "decode.loss_seg": 0.16022, "decode.acc_seg": 73.82884, "aux.loss_seg": 0.0826, "aux.acc_seg": 72.50402, "loss": 0.24281, "time": 0.4617} +{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 36160, "data_time": 0.00645, "decode.loss_seg": 0.16562, "decode.acc_seg": 76.43148, "aux.loss_seg": 0.08559, "aux.acc_seg": 75.13277, "loss": 0.25121, "time": 0.30059} +{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 36160, "data_time": 0.00681, "decode.loss_seg": 0.15354, "decode.acc_seg": 75.46071, "aux.loss_seg": 0.07931, "aux.acc_seg": 74.18096, "loss": 0.23285, "time": 0.30084} +{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 36160, "data_time": 0.00659, "decode.loss_seg": 0.16214, "decode.acc_seg": 76.5583, "aux.loss_seg": 0.0842, "aux.acc_seg": 75.21681, "loss": 0.24634, "time": 0.30108} +{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 36160, "data_time": 0.00681, "decode.loss_seg": 0.1548, "decode.acc_seg": 76.32801, "aux.loss_seg": 0.07984, "aux.acc_seg": 75.13946, "loss": 0.23464, "time": 0.30063} +{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 36160, "data_time": 0.00678, "decode.loss_seg": 0.15429, "decode.acc_seg": 75.40663, "aux.loss_seg": 0.08144, "aux.acc_seg": 73.99997, "loss": 0.23573, "time": 0.30099} +{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 36160, "data_time": 0.00674, "decode.loss_seg": 0.16529, "decode.acc_seg": 76.75457, "aux.loss_seg": 0.08676, "aux.acc_seg": 75.38378, "loss": 0.25205, "time": 0.30053} +{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 36160, "data_time": 0.00658, "decode.loss_seg": 0.16283, "decode.acc_seg": 76.36748, "aux.loss_seg": 0.08547, "aux.acc_seg": 74.964, "loss": 0.2483, "time": 0.30073} +{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 36160, "data_time": 0.00641, "decode.loss_seg": 0.16021, "decode.acc_seg": 75.22594, "aux.loss_seg": 0.08301, "aux.acc_seg": 73.92015, "loss": 0.24322, "time": 0.30061} +{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 36160, "data_time": 0.00665, "decode.loss_seg": 0.16607, "decode.acc_seg": 75.49106, "aux.loss_seg": 0.08674, "aux.acc_seg": 74.17712, "loss": 0.25281, "time": 0.30213} +{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 36160, "data_time": 0.00656, "decode.loss_seg": 0.15947, "decode.acc_seg": 74.96846, "aux.loss_seg": 0.08304, "aux.acc_seg": 73.61606, "loss": 0.24251, "time": 0.30197} +{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 36160, "data_time": 0.0066, "decode.loss_seg": 0.16209, "decode.acc_seg": 75.71534, "aux.loss_seg": 0.08302, "aux.acc_seg": 74.39299, "loss": 0.24512, "time": 0.30341} +{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.15562, "decode.acc_seg": 75.23906, "aux.loss_seg": 0.08082, "aux.acc_seg": 73.91561, "loss": 0.23644, "time": 0.30289} +{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.16459, "decode.acc_seg": 74.64202, "aux.loss_seg": 0.08665, "aux.acc_seg": 73.21881, "loss": 0.25124, "time": 0.30246} +{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.1593, "decode.acc_seg": 75.13269, "aux.loss_seg": 0.08458, "aux.acc_seg": 73.74138, "loss": 0.24388, "time": 0.30269} +{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.15915, "decode.acc_seg": 76.5737, "aux.loss_seg": 0.08238, "aux.acc_seg": 75.31823, "loss": 0.24154, "time": 0.30181} +{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.15932, "decode.acc_seg": 76.0601, "aux.loss_seg": 0.08333, "aux.acc_seg": 74.72206, "loss": 0.24265, "time": 0.30174} +{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.15998, "decode.acc_seg": 74.67921, "aux.loss_seg": 0.085, "aux.acc_seg": 73.31041, "loss": 0.24498, "time": 0.3038} +{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.15791, "decode.acc_seg": 77.29858, "aux.loss_seg": 0.08088, "aux.acc_seg": 76.09205, "loss": 0.23879, "time": 0.3027} +{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.15706, "decode.acc_seg": 76.23816, "aux.loss_seg": 0.08153, "aux.acc_seg": 74.95853, "loss": 0.23858, "time": 0.30308} +{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16213, "decode.acc_seg": 75.50162, "aux.loss_seg": 0.08419, "aux.acc_seg": 74.26395, "loss": 0.24631, "time": 0.3018} +{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.15722, "decode.acc_seg": 74.81105, "aux.loss_seg": 0.0836, "aux.acc_seg": 73.30735, "loss": 0.24083, "time": 0.30156} +{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 36160, "data_time": 0.00644, "decode.loss_seg": 0.15684, "decode.acc_seg": 75.58958, "aux.loss_seg": 0.08207, "aux.acc_seg": 74.28333, "loss": 0.2389, "time": 0.30054} +{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.15378, "decode.acc_seg": 73.97657, "aux.loss_seg": 0.08039, "aux.acc_seg": 72.70684, "loss": 0.23417, "time": 0.30036} +{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.16277, "decode.acc_seg": 75.46318, "aux.loss_seg": 0.08425, "aux.acc_seg": 74.11545, "loss": 0.24702, "time": 0.30125} +{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 36160, "data_time": 0.17448, "decode.loss_seg": 0.16382, "decode.acc_seg": 73.73711, "aux.loss_seg": 0.08584, "aux.acc_seg": 72.37222, "loss": 0.24967, "time": 0.46932} +{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.15986, "decode.acc_seg": 75.81575, "aux.loss_seg": 0.08317, "aux.acc_seg": 74.5108, "loss": 0.24303, "time": 0.29989} +{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.16009, "decode.acc_seg": 76.06536, "aux.loss_seg": 0.08382, "aux.acc_seg": 74.70023, "loss": 0.24391, "time": 0.29962} +{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.16857, "decode.acc_seg": 75.25717, "aux.loss_seg": 0.08765, "aux.acc_seg": 73.87889, "loss": 0.25621, "time": 0.2989} +{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.15505, "decode.acc_seg": 73.31149, "aux.loss_seg": 0.08151, "aux.acc_seg": 71.93665, "loss": 0.23656, "time": 0.29875} +{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.16611, "decode.acc_seg": 75.23953, "aux.loss_seg": 0.0854, "aux.acc_seg": 73.89868, "loss": 0.25151, "time": 0.29967} +{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.15925, "decode.acc_seg": 74.34977, "aux.loss_seg": 0.08198, "aux.acc_seg": 72.99697, "loss": 0.24123, "time": 0.29988} +{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.15905, "decode.acc_seg": 76.87821, "aux.loss_seg": 0.08384, "aux.acc_seg": 75.4642, "loss": 0.2429, "time": 0.29979} +{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15522, "decode.acc_seg": 75.77771, "aux.loss_seg": 0.08033, "aux.acc_seg": 74.48873, "loss": 0.23556, "time": 0.3018} +{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15404, "decode.acc_seg": 74.57985, "aux.loss_seg": 0.08126, "aux.acc_seg": 73.23515, "loss": 0.23531, "time": 0.30064} +{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.15435, "decode.acc_seg": 74.43016, "aux.loss_seg": 0.08183, "aux.acc_seg": 73.06385, "loss": 0.23618, "time": 0.30117} +{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.16408, "decode.acc_seg": 74.91405, "aux.loss_seg": 0.08558, "aux.acc_seg": 73.56759, "loss": 0.24965, "time": 0.30223} +{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.16315, "decode.acc_seg": 75.24243, "aux.loss_seg": 0.08523, "aux.acc_seg": 73.97283, "loss": 0.24839, "time": 0.29999} +{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.1535, "decode.acc_seg": 75.72011, "aux.loss_seg": 0.07876, "aux.acc_seg": 74.54475, "loss": 0.23226, "time": 0.30056} +{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.15859, "decode.acc_seg": 75.12087, "aux.loss_seg": 0.08246, "aux.acc_seg": 73.8442, "loss": 0.24106, "time": 0.29991} +{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.17301, "decode.acc_seg": 75.4035, "aux.loss_seg": 0.09026, "aux.acc_seg": 73.88695, "loss": 0.26328, "time": 0.29951} +{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.15103, "decode.acc_seg": 74.30325, "aux.loss_seg": 0.07921, "aux.acc_seg": 72.97035, "loss": 0.23024, "time": 0.30095} +{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.16225, "decode.acc_seg": 76.80571, "aux.loss_seg": 0.08499, "aux.acc_seg": 75.45501, "loss": 0.24724, "time": 0.30036} +{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.16507, "decode.acc_seg": 77.01804, "aux.loss_seg": 0.08522, "aux.acc_seg": 75.77595, "loss": 0.25029, "time": 0.2995} +{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.15394, "decode.acc_seg": 75.65804, "aux.loss_seg": 0.08051, "aux.acc_seg": 74.31762, "loss": 0.23445, "time": 0.30018} +{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.15724, "decode.acc_seg": 76.70871, "aux.loss_seg": 0.08296, "aux.acc_seg": 75.37675, "loss": 0.2402, "time": 0.30093} +{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15667, "decode.acc_seg": 74.35054, "aux.loss_seg": 0.08261, "aux.acc_seg": 73.06388, "loss": 0.23928, "time": 0.30091} +{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16353, "decode.acc_seg": 75.46869, "aux.loss_seg": 0.08441, "aux.acc_seg": 74.14654, "loss": 0.24794, "time": 0.30052} +{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.16017, "decode.acc_seg": 74.39316, "aux.loss_seg": 0.08369, "aux.acc_seg": 73.02439, "loss": 0.24386, "time": 0.30038} +{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.16218, "decode.acc_seg": 75.30406, "aux.loss_seg": 0.08507, "aux.acc_seg": 73.93847, "loss": 0.24726, "time": 0.29918} +{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 36160, "data_time": 0.17758, "decode.loss_seg": 0.17012, "decode.acc_seg": 75.69067, "aux.loss_seg": 0.08783, "aux.acc_seg": 74.28544, "loss": 0.25795, "time": 0.48039} +{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.15296, "decode.acc_seg": 74.54552, "aux.loss_seg": 0.07979, "aux.acc_seg": 73.26895, "loss": 0.23274, "time": 0.30021} +{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.16153, "decode.acc_seg": 74.2937, "aux.loss_seg": 0.08485, "aux.acc_seg": 72.90923, "loss": 0.24637, "time": 0.29936} +{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.1595, "decode.acc_seg": 74.18806, "aux.loss_seg": 0.08221, "aux.acc_seg": 72.94122, "loss": 0.24171, "time": 0.2996} +{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.15699, "decode.acc_seg": 74.36507, "aux.loss_seg": 0.08287, "aux.acc_seg": 73.03358, "loss": 0.23986, "time": 0.29994} +{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.16094, "decode.acc_seg": 74.80854, "aux.loss_seg": 0.08396, "aux.acc_seg": 73.46742, "loss": 0.2449, "time": 0.29919} +{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.15501, "decode.acc_seg": 75.36971, "aux.loss_seg": 0.08155, "aux.acc_seg": 74.08532, "loss": 0.23656, "time": 0.2991} +{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.15715, "decode.acc_seg": 74.33319, "aux.loss_seg": 0.08293, "aux.acc_seg": 72.93671, "loss": 0.24008, "time": 0.29998} +{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.15693, "decode.acc_seg": 76.0514, "aux.loss_seg": 0.08171, "aux.acc_seg": 74.72201, "loss": 0.23864, "time": 0.30005} +{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.15312, "decode.acc_seg": 75.57905, "aux.loss_seg": 0.08128, "aux.acc_seg": 74.21532, "loss": 0.23441, "time": 0.30057} +{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.1567, "decode.acc_seg": 74.86702, "aux.loss_seg": 0.08227, "aux.acc_seg": 73.52537, "loss": 0.23897, "time": 0.30053} +{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.15126, "decode.acc_seg": 75.82334, "aux.loss_seg": 0.07948, "aux.acc_seg": 74.46128, "loss": 0.23074, "time": 0.30116} +{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.15813, "decode.acc_seg": 75.81267, "aux.loss_seg": 0.08164, "aux.acc_seg": 74.56488, "loss": 0.23977, "time": 0.30063} +{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.1631, "decode.acc_seg": 74.83991, "aux.loss_seg": 0.08493, "aux.acc_seg": 73.51577, "loss": 0.24803, "time": 0.30229} +{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.15886, "decode.acc_seg": 75.92159, "aux.loss_seg": 0.08378, "aux.acc_seg": 74.59009, "loss": 0.24264, "time": 0.30099} +{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14949, "decode.acc_seg": 75.17121, "aux.loss_seg": 0.07983, "aux.acc_seg": 73.78093, "loss": 0.22931, "time": 0.3021} +{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.16084, "decode.acc_seg": 76.4336, "aux.loss_seg": 0.08587, "aux.acc_seg": 74.8817, "loss": 0.24671, "time": 0.30174} +{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.15342, "decode.acc_seg": 75.11942, "aux.loss_seg": 0.0798, "aux.acc_seg": 73.78715, "loss": 0.23322, "time": 0.30089} +{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.16162, "decode.acc_seg": 75.90986, "aux.loss_seg": 0.08359, "aux.acc_seg": 74.56985, "loss": 0.24521, "time": 0.30213} +{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.16282, "decode.acc_seg": 75.21934, "aux.loss_seg": 0.08535, "aux.acc_seg": 73.80829, "loss": 0.24817, "time": 0.30335} +{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.15847, "decode.acc_seg": 75.69571, "aux.loss_seg": 0.08313, "aux.acc_seg": 74.38175, "loss": 0.2416, "time": 0.30361} +{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.15907, "decode.acc_seg": 75.57566, "aux.loss_seg": 0.08211, "aux.acc_seg": 74.29799, "loss": 0.24118, "time": 0.30258} +{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.15602, "decode.acc_seg": 76.07168, "aux.loss_seg": 0.07976, "aux.acc_seg": 74.8958, "loss": 0.23579, "time": 0.30164} +{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.16089, "decode.acc_seg": 76.11214, "aux.loss_seg": 0.08527, "aux.acc_seg": 74.67285, "loss": 0.24617, "time": 0.30215} +{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.14814, "decode.acc_seg": 74.21519, "aux.loss_seg": 0.0772, "aux.acc_seg": 72.90218, "loss": 0.22533, "time": 0.302} +{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.16614, "decode.acc_seg": 75.57979, "aux.loss_seg": 0.08667, "aux.acc_seg": 74.15238, "loss": 0.25281, "time": 0.30114} +{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 36160, "data_time": 0.15583, "decode.loss_seg": 0.15359, "decode.acc_seg": 75.29174, "aux.loss_seg": 0.0796, "aux.acc_seg": 74.08441, "loss": 0.2332, "time": 0.46923} +{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.15679, "decode.acc_seg": 76.13328, "aux.loss_seg": 0.08162, "aux.acc_seg": 75.00273, "loss": 0.23841, "time": 0.30114} +{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.15773, "decode.acc_seg": 76.64199, "aux.loss_seg": 0.08205, "aux.acc_seg": 75.35147, "loss": 0.23977, "time": 0.30113} +{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.1563, "decode.acc_seg": 75.7706, "aux.loss_seg": 0.08097, "aux.acc_seg": 74.43313, "loss": 0.23727, "time": 0.30019} +{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.15167, "decode.acc_seg": 74.88161, "aux.loss_seg": 0.08014, "aux.acc_seg": 73.4531, "loss": 0.2318, "time": 0.30141} +{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.15559, "decode.acc_seg": 77.05344, "aux.loss_seg": 0.08196, "aux.acc_seg": 75.68126, "loss": 0.23754, "time": 0.30196} +{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.1506, "decode.acc_seg": 75.4979, "aux.loss_seg": 0.07995, "aux.acc_seg": 74.10806, "loss": 0.23054, "time": 0.303} +{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.16295, "decode.acc_seg": 76.50964, "aux.loss_seg": 0.08666, "aux.acc_seg": 74.9807, "loss": 0.2496, "time": 0.3024} +{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.15848, "decode.acc_seg": 76.01152, "aux.loss_seg": 0.08228, "aux.acc_seg": 74.68202, "loss": 0.24076, "time": 0.30198} +{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.15061, "decode.acc_seg": 74.41147, "aux.loss_seg": 0.07865, "aux.acc_seg": 73.17779, "loss": 0.22926, "time": 0.3011} +{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.15892, "decode.acc_seg": 76.11717, "aux.loss_seg": 0.08399, "aux.acc_seg": 74.73282, "loss": 0.24291, "time": 0.30137} +{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.16553, "decode.acc_seg": 74.39934, "aux.loss_seg": 0.08777, "aux.acc_seg": 72.99319, "loss": 0.2533, "time": 0.29994} +{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.1425, "decode.acc_seg": 74.42379, "aux.loss_seg": 0.0753, "aux.acc_seg": 73.15935, "loss": 0.21781, "time": 0.29966} +{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.15686, "decode.acc_seg": 75.40833, "aux.loss_seg": 0.08119, "aux.acc_seg": 74.17123, "loss": 0.23806, "time": 0.30153} +{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.15985, "decode.acc_seg": 74.3816, "aux.loss_seg": 0.08152, "aux.acc_seg": 73.13596, "loss": 0.24138, "time": 0.30292} +{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.15969, "decode.acc_seg": 75.93581, "aux.loss_seg": 0.08432, "aux.acc_seg": 74.51794, "loss": 0.24401, "time": 0.3022} +{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.1553, "decode.acc_seg": 74.85976, "aux.loss_seg": 0.08233, "aux.acc_seg": 73.47805, "loss": 0.23763, "time": 0.30182} +{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.16027, "decode.acc_seg": 75.37905, "aux.loss_seg": 0.08432, "aux.acc_seg": 73.99195, "loss": 0.24459, "time": 0.30033} +{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.15397, "decode.acc_seg": 75.4702, "aux.loss_seg": 0.0808, "aux.acc_seg": 74.17443, "loss": 0.23477, "time": 0.30136} +{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.15828, "decode.acc_seg": 76.01044, "aux.loss_seg": 0.0819, "aux.acc_seg": 74.74429, "loss": 0.24018, "time": 0.30209} +{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.15477, "decode.acc_seg": 74.62315, "aux.loss_seg": 0.08068, "aux.acc_seg": 73.28485, "loss": 0.23545, "time": 0.30208} +{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.16028, "decode.acc_seg": 74.68657, "aux.loss_seg": 0.08302, "aux.acc_seg": 73.47445, "loss": 0.2433, "time": 0.30181} +{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 36160, "data_time": 0.0066, "decode.loss_seg": 0.15965, "decode.acc_seg": 73.79919, "aux.loss_seg": 0.08259, "aux.acc_seg": 72.57388, "loss": 0.24224, "time": 0.30204} +{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.15788, "decode.acc_seg": 75.26416, "aux.loss_seg": 0.0815, "aux.acc_seg": 74.03288, "loss": 0.23938, "time": 0.30147} +{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.16466, "decode.acc_seg": 74.72172, "aux.loss_seg": 0.08707, "aux.acc_seg": 73.28224, "loss": 0.25173, "time": 0.30181} +{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 36160, "data_time": 0.17917, "decode.loss_seg": 0.15524, "decode.acc_seg": 74.45447, "aux.loss_seg": 0.08143, "aux.acc_seg": 73.16914, "loss": 0.23668, "time": 0.47519} +{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.14615, "decode.acc_seg": 75.45702, "aux.loss_seg": 0.07666, "aux.acc_seg": 74.19373, "loss": 0.22281, "time": 0.30011} +{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.15989, "decode.acc_seg": 74.79511, "aux.loss_seg": 0.08187, "aux.acc_seg": 73.58676, "loss": 0.24176, "time": 0.29997} +{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15873, "decode.acc_seg": 75.01727, "aux.loss_seg": 0.08263, "aux.acc_seg": 73.73238, "loss": 0.24136, "time": 0.29949} +{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.15568, "decode.acc_seg": 76.66055, "aux.loss_seg": 0.08127, "aux.acc_seg": 75.32875, "loss": 0.23695, "time": 0.29951} +{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.16411, "decode.acc_seg": 76.55224, "aux.loss_seg": 0.08504, "aux.acc_seg": 75.25526, "loss": 0.24914, "time": 0.29987} +{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.15645, "decode.acc_seg": 75.20973, "aux.loss_seg": 0.08208, "aux.acc_seg": 73.85271, "loss": 0.23854, "time": 0.30091} +{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.15664, "decode.acc_seg": 74.68254, "aux.loss_seg": 0.0823, "aux.acc_seg": 73.35248, "loss": 0.23894, "time": 0.30017} +{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4844, "mAcc": 0.5993, "aAcc": 0.8241, "IoU.wall": 0.7592, "IoU.building": 0.8113, "IoU.sky": 0.9355, "IoU.floor": 0.8097, "IoU.tree": 0.7446, "IoU.ceiling": 0.8391, "IoU.road": 0.8301, "IoU.bed ": 0.8666, "IoU.windowpane": 0.5912, "IoU.grass": 0.6684, "IoU.cabinet": 0.6111, "IoU.sidewalk": 0.6636, "IoU.person": 0.7796, "IoU.earth": 0.4006, "IoU.door": 0.4477, "IoU.table": 0.5819, "IoU.mountain": 0.5746, "IoU.plant": 0.5171, "IoU.curtain": 0.7038, "IoU.chair": 0.5577, "IoU.car": 0.8344, "IoU.water": 0.5411, "IoU.painting": 0.7524, "IoU.sofa": 0.611, "IoU.shelf": 0.3898, "IoU.house": 0.3771, "IoU.sea": 0.5664, "IoU.mirror": 0.6353, "IoU.rug": 0.6271, "IoU.field": 0.2727, "IoU.armchair": 0.3966, "IoU.seat": 0.6025, "IoU.fence": 0.3819, "IoU.desk": 0.498, "IoU.rock": 0.4392, "IoU.wardrobe": 0.4767, "IoU.lamp": 0.6143, "IoU.bathtub": 0.6956, "IoU.railing": 0.3644, "IoU.cushion": 0.569, "IoU.base": 0.2756, "IoU.box": 0.2559, "IoU.column": 0.4279, "IoU.signboard": 0.3711, "IoU.chest of drawers": 0.3978, "IoU.counter": 0.3115, "IoU.sand": 0.5005, "IoU.sink": 0.6845, "IoU.skyscraper": 0.6868, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7892, "IoU.grandstand": 0.3862, "IoU.path": 0.2657, "IoU.stairs": 0.3187, "IoU.runway": 0.6766, "IoU.case": 0.4004, "IoU.pool table": 0.9199, "IoU.pillow": 0.5378, "IoU.screen door": 0.6513, "IoU.stairway": 0.3464, "IoU.river": 0.0877, "IoU.bridge": 0.7244, "IoU.bookcase": 0.3797, "IoU.blind": NaN, "IoU.coffee table": 0.512, "IoU.toilet": 0.8195, "IoU.flower": 0.4641, "IoU.book": 0.4408, "IoU.hill": 0.1173, "IoU.bench": 0.4296, "IoU.countertop": 0.5381, "IoU.stove": 0.7381, "IoU.palm": 0.4923, "IoU.kitchen island": 0.368, "IoU.computer": 0.6435, "IoU.swivel chair": 0.4481, "IoU.boat": 0.6532, "IoU.bar": 0.4287, "IoU.arcade machine": 0.4552, "IoU.hovel": 0.304, "IoU.bus": 0.8815, "IoU.towel": 0.6278, "IoU.light": 0.5361, "IoU.truck": 0.2546, "IoU.tower": 0.1413, "IoU.chandelier": 0.6493, "IoU.awning": 0.286, "IoU.streetlight": 0.2284, "IoU.booth": 0.6214, "IoU.television receiver": NaN, "IoU.airplane": 0.5975, "IoU.dirt track": 0.0026, "IoU.apparel": 0.2978, "IoU.pole": 0.1896, "IoU.land": 0.0446, "IoU.bannister": 0.1099, "IoU.escalator": 0.2788, "IoU.ottoman": 0.4166, "IoU.bottle": NaN, "IoU.buffet": 0.416, "IoU.poster": 0.3348, "IoU.stage": 0.1495, "IoU.van": 0.3888, "IoU.ship": 0.7663, "IoU.fountain": 0.2123, "IoU.conveyer belt": 0.8253, "IoU.canopy": 0.2243, "IoU.washer": 0.761, "IoU.plaything": 0.1941, "IoU.swimming pool": 0.7158, "IoU.stool": 0.4059, "IoU.barrel": 0.4823, "IoU.basket": 0.3439, "IoU.waterfall": 0.418, "IoU.tent": 0.9239, "IoU.bag": 0.112, "IoU.minibike": 0.7237, "IoU.cradle": NaN, "IoU.oven": 0.4651, "IoU.ball": 0.4462, "IoU.food": 0.3894, "IoU.step": 0.1091, "IoU.tank": 0.5054, "IoU.trade name": 0.2908, "IoU.microwave": 0.8038, "IoU.pot": 0.5184, "IoU.animal": NaN, "IoU.bicycle": 0.5332, "IoU.lake": 0.5179, "IoU.dishwasher": 0.6179, "IoU.screen": 0.6536, "IoU.blanket": 0.0969, "IoU.sculpture": 0.6285, "IoU.hood": 0.5841, "IoU.sconce": 0.4464, "IoU.vase": 0.3709, "IoU.traffic light": 0.3009, "IoU.tray": 0.0897, "IoU.ashcan": 0.4302, "IoU.fan": 0.6201, "IoU.pier": 0.3356, "IoU.crt screen": 0.0556, "IoU.plate": 0.5645, "IoU.monitor": 0.1186, "IoU.bulletin board": 0.4454, "IoU.shower": 0.0207, "IoU.radiator": 0.6298, "IoU.glass": 0.1515, "IoU.clock": 0.4168, "IoU.flag": 0.4497, "Acc.wall": 0.8878, "Acc.building": 0.9087, "Acc.sky": 0.9686, "Acc.floor": 0.9006, "Acc.tree": 0.8621, "Acc.ceiling": 0.9303, "Acc.road": 0.9066, "Acc.bed ": 0.9486, "Acc.windowpane": 0.7809, "Acc.grass": 0.8372, "Acc.cabinet": 0.7525, "Acc.sidewalk": 0.803, "Acc.person": 0.9166, "Acc.earth": 0.5541, "Acc.door": 0.581, "Acc.table": 0.737, "Acc.mountain": 0.7171, "Acc.plant": 0.5961, "Acc.curtain": 0.8037, "Acc.chair": 0.7104, "Acc.car": 0.9182, "Acc.water": 0.7171, "Acc.painting": 0.8555, "Acc.sofa": 0.8269, "Acc.shelf": 0.5437, "Acc.house": 0.4914, "Acc.sea": 0.7347, "Acc.mirror": 0.6997, "Acc.rug": 0.7343, "Acc.field": 0.4314, "Acc.armchair": 0.55, "Acc.seat": 0.8014, "Acc.fence": 0.4976, "Acc.desk": 0.6586, "Acc.rock": 0.6482, "Acc.wardrobe": 0.571, "Acc.lamp": 0.7271, "Acc.bathtub": 0.7686, "Acc.railing": 0.4919, "Acc.cushion": 0.6992, "Acc.base": 0.3785, "Acc.box": 0.3103, "Acc.column": 0.5187, "Acc.signboard": 0.5301, "Acc.chest of drawers": 0.5563, "Acc.counter": 0.4052, "Acc.sand": 0.7807, "Acc.sink": 0.7827, "Acc.skyscraper": 0.8488, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8868, "Acc.grandstand": 0.6247, "Acc.path": 0.374, "Acc.stairs": 0.395, "Acc.runway": 0.8706, "Acc.case": 0.5126, "Acc.pool table": 0.9631, "Acc.pillow": 0.6333, "Acc.screen door": 0.7188, "Acc.stairway": 0.4296, "Acc.river": 0.2071, "Acc.bridge": 0.823, "Acc.bookcase": 0.4492, "Acc.blind": NaN, "Acc.coffee table": 0.7845, "Acc.toilet": 0.88, "Acc.flower": 0.6144, "Acc.book": 0.6399, "Acc.hill": 0.2176, "Acc.bench": 0.5152, "Acc.countertop": 0.7014, "Acc.stove": 0.8183, "Acc.palm": 0.7857, "Acc.kitchen island": 0.7093, "Acc.computer": 0.7565, "Acc.swivel chair": 0.5925, "Acc.boat": 0.7767, "Acc.bar": 0.5752, "Acc.arcade machine": 0.4924, "Acc.hovel": 0.3188, "Acc.bus": 0.9549, "Acc.towel": 0.7916, "Acc.light": 0.618, "Acc.truck": 0.3703, "Acc.tower": 0.2433, "Acc.chandelier": 0.8124, "Acc.awning": 0.3307, "Acc.streetlight": 0.2853, "Acc.booth": 0.7402, "Acc.television receiver": NaN, "Acc.airplane": 0.7567, "Acc.dirt track": 0.0041, "Acc.apparel": 0.4499, "Acc.pole": 0.2806, "Acc.land": 0.0613, "Acc.bannister": 0.1405, "Acc.escalator": 0.2998, "Acc.ottoman": 0.6056, "Acc.bottle": NaN, "Acc.buffet": 0.4776, "Acc.poster": 0.5319, "Acc.stage": 0.2004, "Acc.van": 0.5067, "Acc.ship": 0.911, "Acc.fountain": 0.2173, "Acc.conveyer belt": 0.903, "Acc.canopy": 0.3107, "Acc.washer": 0.7922, "Acc.plaything": 0.3224, "Acc.swimming pool": 0.793, "Acc.stool": 0.5454, "Acc.barrel": 0.7223, "Acc.basket": 0.4251, "Acc.waterfall": 0.535, "Acc.tent": 0.9813, "Acc.bag": 0.1335, "Acc.minibike": 0.8665, "Acc.cradle": NaN, "Acc.oven": 0.6548, "Acc.ball": 0.4811, "Acc.food": 0.4775, "Acc.step": 0.1359, "Acc.tank": 0.5778, "Acc.trade name": 0.362, "Acc.microwave": 0.8962, "Acc.pot": 0.5775, "Acc.animal": NaN, "Acc.bicycle": 0.7803, "Acc.lake": 0.6107, "Acc.dishwasher": 0.7067, "Acc.screen": 0.7447, "Acc.blanket": 0.1164, "Acc.sculpture": 0.8144, "Acc.hood": 0.6671, "Acc.sconce": 0.5493, "Acc.vase": 0.5836, "Acc.traffic light": 0.4254, "Acc.tray": 0.2184, "Acc.ashcan": 0.5477, "Acc.fan": 0.7855, "Acc.pier": 0.4948, "Acc.crt screen": 0.1794, "Acc.plate": 0.7472, "Acc.monitor": 0.129, "Acc.bulletin board": 0.549, "Acc.shower": 0.0341, "Acc.radiator": 0.6974, "Acc.glass": 0.1664, "Acc.clock": 0.5249, "Acc.flag": 0.4959} +{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 36160, "data_time": 1.29755, "decode.loss_seg": 0.15205, "decode.acc_seg": 75.48626, "aux.loss_seg": 0.07947, "aux.acc_seg": 74.25329, "loss": 0.23152, "time": 1.59502} +{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.15537, "decode.acc_seg": 76.2204, "aux.loss_seg": 0.08151, "aux.acc_seg": 74.87462, "loss": 0.23688, "time": 0.29995} +{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.15758, "decode.acc_seg": 75.41511, "aux.loss_seg": 0.08137, "aux.acc_seg": 74.22078, "loss": 0.23895, "time": 0.3012} +{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.15483, "decode.acc_seg": 75.00082, "aux.loss_seg": 0.0815, "aux.acc_seg": 73.63645, "loss": 0.23633, "time": 0.29973} +{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.16146, "decode.acc_seg": 75.53116, "aux.loss_seg": 0.08295, "aux.acc_seg": 74.335, "loss": 0.24441, "time": 0.30081} +{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.16683, "decode.acc_seg": 74.42941, "aux.loss_seg": 0.08769, "aux.acc_seg": 73.01915, "loss": 0.25452, "time": 0.30033} +{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.15383, "decode.acc_seg": 73.8487, "aux.loss_seg": 0.08279, "aux.acc_seg": 72.34934, "loss": 0.23662, "time": 0.30219} +{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.1557, "decode.acc_seg": 75.47077, "aux.loss_seg": 0.08303, "aux.acc_seg": 74.08366, "loss": 0.23873, "time": 0.30015} +{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.15777, "decode.acc_seg": 75.89931, "aux.loss_seg": 0.08219, "aux.acc_seg": 74.56402, "loss": 0.23996, "time": 0.30059} +{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.15234, "decode.acc_seg": 76.51736, "aux.loss_seg": 0.08029, "aux.acc_seg": 75.15282, "loss": 0.23264, "time": 0.30003} +{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 36160, "data_time": 0.00441, "decode.loss_seg": 0.1487, "decode.acc_seg": 75.21872, "aux.loss_seg": 0.07736, "aux.acc_seg": 73.97245, "loss": 0.22607, "time": 0.29952} +{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 36160, "data_time": 0.00435, "decode.loss_seg": 0.15262, "decode.acc_seg": 75.39178, "aux.loss_seg": 0.07998, "aux.acc_seg": 74.10362, "loss": 0.23261, "time": 0.29963} +{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.15115, "decode.acc_seg": 76.02855, "aux.loss_seg": 0.07785, "aux.acc_seg": 74.88087, "loss": 0.229, "time": 0.30064} +{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.16104, "decode.acc_seg": 75.45898, "aux.loss_seg": 0.08414, "aux.acc_seg": 74.06575, "loss": 0.24518, "time": 0.30009} +{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 36160, "data_time": 0.00448, "decode.loss_seg": 0.15419, "decode.acc_seg": 74.10017, "aux.loss_seg": 0.08093, "aux.acc_seg": 72.76564, "loss": 0.23512, "time": 0.29945} +{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.15535, "decode.acc_seg": 76.00145, "aux.loss_seg": 0.08011, "aux.acc_seg": 74.76627, "loss": 0.23546, "time": 0.29856} +{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 36160, "data_time": 0.17881, "decode.loss_seg": 0.15316, "decode.acc_seg": 74.36876, "aux.loss_seg": 0.08026, "aux.acc_seg": 73.08277, "loss": 0.23342, "time": 0.47355} +{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 36160, "data_time": 0.00427, "decode.loss_seg": 0.14351, "decode.acc_seg": 73.92981, "aux.loss_seg": 0.07552, "aux.acc_seg": 72.61725, "loss": 0.21903, "time": 0.30058} +{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.15082, "decode.acc_seg": 75.50288, "aux.loss_seg": 0.08005, "aux.acc_seg": 74.17533, "loss": 0.23088, "time": 0.29992} +{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.15457, "decode.acc_seg": 75.78882, "aux.loss_seg": 0.08116, "aux.acc_seg": 74.49053, "loss": 0.23573, "time": 0.30253} +{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.15145, "decode.acc_seg": 74.1129, "aux.loss_seg": 0.07956, "aux.acc_seg": 72.85934, "loss": 0.23101, "time": 0.29955} +{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.16573, "decode.acc_seg": 75.71035, "aux.loss_seg": 0.08709, "aux.acc_seg": 74.3435, "loss": 0.25281, "time": 0.29911} +{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.16018, "decode.acc_seg": 73.83786, "aux.loss_seg": 0.08248, "aux.acc_seg": 72.67601, "loss": 0.24267, "time": 0.29926} +{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.15737, "decode.acc_seg": 75.78307, "aux.loss_seg": 0.08209, "aux.acc_seg": 74.41498, "loss": 0.23946, "time": 0.2987} +{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.15487, "decode.acc_seg": 75.24069, "aux.loss_seg": 0.08148, "aux.acc_seg": 73.89305, "loss": 0.23635, "time": 0.29862} +{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.15181, "decode.acc_seg": 75.0741, "aux.loss_seg": 0.08032, "aux.acc_seg": 73.70685, "loss": 0.23213, "time": 0.30156} +{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.15337, "decode.acc_seg": 75.27328, "aux.loss_seg": 0.08129, "aux.acc_seg": 73.90422, "loss": 0.23465, "time": 0.30107} +{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 36160, "data_time": 0.0043, "decode.loss_seg": 0.15358, "decode.acc_seg": 74.04636, "aux.loss_seg": 0.08213, "aux.acc_seg": 72.64209, "loss": 0.23572, "time": 0.29873} +{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.14596, "decode.acc_seg": 75.77291, "aux.loss_seg": 0.07733, "aux.acc_seg": 74.46742, "loss": 0.22329, "time": 0.29966} +{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.16346, "decode.acc_seg": 76.28946, "aux.loss_seg": 0.08546, "aux.acc_seg": 74.95101, "loss": 0.24892, "time": 0.29918} +{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 36160, "data_time": 0.00448, "decode.loss_seg": 0.15729, "decode.acc_seg": 75.44985, "aux.loss_seg": 0.0816, "aux.acc_seg": 74.15863, "loss": 0.23889, "time": 0.29914} +{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.16482, "decode.acc_seg": 73.4274, "aux.loss_seg": 0.08526, "aux.acc_seg": 72.13333, "loss": 0.25008, "time": 0.30176} +{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.15233, "decode.acc_seg": 76.05075, "aux.loss_seg": 0.08003, "aux.acc_seg": 74.71277, "loss": 0.23235, "time": 0.30142} +{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.15503, "decode.acc_seg": 73.69544, "aux.loss_seg": 0.08118, "aux.acc_seg": 72.40144, "loss": 0.23621, "time": 0.30227} +{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.1581, "decode.acc_seg": 75.21912, "aux.loss_seg": 0.08278, "aux.acc_seg": 73.93343, "loss": 0.24088, "time": 0.30134} +{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.14984, "decode.acc_seg": 74.65845, "aux.loss_seg": 0.07776, "aux.acc_seg": 73.48033, "loss": 0.22759, "time": 0.30041} +{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.15681, "decode.acc_seg": 74.91948, "aux.loss_seg": 0.08243, "aux.acc_seg": 73.54936, "loss": 0.23923, "time": 0.30204} +{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.15293, "decode.acc_seg": 74.76346, "aux.loss_seg": 0.08003, "aux.acc_seg": 73.4455, "loss": 0.23296, "time": 0.3007} +{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.16049, "decode.acc_seg": 76.60115, "aux.loss_seg": 0.08511, "aux.acc_seg": 75.19813, "loss": 0.2456, "time": 0.29979} +{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.15664, "decode.acc_seg": 76.59947, "aux.loss_seg": 0.07962, "aux.acc_seg": 75.41671, "loss": 0.23626, "time": 0.30156} +{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.15496, "decode.acc_seg": 76.48971, "aux.loss_seg": 0.08241, "aux.acc_seg": 75.0497, "loss": 0.23737, "time": 0.30116} +{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 36160, "data_time": 0.17797, "decode.loss_seg": 0.15802, "decode.acc_seg": 76.60335, "aux.loss_seg": 0.0833, "aux.acc_seg": 75.23215, "loss": 0.24131, "time": 0.4767} +{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.14612, "decode.acc_seg": 74.31037, "aux.loss_seg": 0.07662, "aux.acc_seg": 73.05484, "loss": 0.22274, "time": 0.30115} +{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.15841, "decode.acc_seg": 75.44201, "aux.loss_seg": 0.08171, "aux.acc_seg": 74.22946, "loss": 0.24012, "time": 0.29958} +{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.15287, "decode.acc_seg": 73.8017, "aux.loss_seg": 0.08026, "aux.acc_seg": 72.42092, "loss": 0.23313, "time": 0.29889} +{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.15398, "decode.acc_seg": 73.5578, "aux.loss_seg": 0.08071, "aux.acc_seg": 72.26223, "loss": 0.2347, "time": 0.2988} +{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.14185, "decode.acc_seg": 75.1866, "aux.loss_seg": 0.07496, "aux.acc_seg": 73.90544, "loss": 0.21681, "time": 0.29877} +{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15648, "decode.acc_seg": 75.3691, "aux.loss_seg": 0.08184, "aux.acc_seg": 74.02206, "loss": 0.23831, "time": 0.30062} +{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.15135, "decode.acc_seg": 76.78601, "aux.loss_seg": 0.07946, "aux.acc_seg": 75.48696, "loss": 0.23081, "time": 0.3018} +{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.1556, "decode.acc_seg": 75.50814, "aux.loss_seg": 0.08016, "aux.acc_seg": 74.24622, "loss": 0.23576, "time": 0.30213} +{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.157, "decode.acc_seg": 75.87571, "aux.loss_seg": 0.08283, "aux.acc_seg": 74.47739, "loss": 0.23983, "time": 0.30171} +{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.16, "decode.acc_seg": 75.35725, "aux.loss_seg": 0.08396, "aux.acc_seg": 74.04376, "loss": 0.24396, "time": 0.30123} +{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.15506, "decode.acc_seg": 75.78915, "aux.loss_seg": 0.0823, "aux.acc_seg": 74.39694, "loss": 0.23736, "time": 0.29999} +{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15886, "decode.acc_seg": 76.70753, "aux.loss_seg": 0.08363, "aux.acc_seg": 75.32627, "loss": 0.2425, "time": 0.3024} +{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.15134, "decode.acc_seg": 75.20604, "aux.loss_seg": 0.07932, "aux.acc_seg": 73.86619, "loss": 0.23066, "time": 0.30158} +{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.15198, "decode.acc_seg": 75.08269, "aux.loss_seg": 0.08057, "aux.acc_seg": 73.75573, "loss": 0.23255, "time": 0.29967} +{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.15776, "decode.acc_seg": 75.69909, "aux.loss_seg": 0.08202, "aux.acc_seg": 74.41264, "loss": 0.23978, "time": 0.30098} +{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14452, "decode.acc_seg": 74.91318, "aux.loss_seg": 0.07614, "aux.acc_seg": 73.63821, "loss": 0.22066, "time": 0.30154} +{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.15937, "decode.acc_seg": 76.62004, "aux.loss_seg": 0.08435, "aux.acc_seg": 75.16841, "loss": 0.24372, "time": 0.30058} +{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.15823, "decode.acc_seg": 75.81107, "aux.loss_seg": 0.08346, "aux.acc_seg": 74.49947, "loss": 0.24168, "time": 0.30045} +{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.1561, "decode.acc_seg": 75.18047, "aux.loss_seg": 0.0818, "aux.acc_seg": 73.88486, "loss": 0.23789, "time": 0.30078} +{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.153, "decode.acc_seg": 76.47687, "aux.loss_seg": 0.08116, "aux.acc_seg": 75.12981, "loss": 0.23416, "time": 0.30147} +{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15457, "decode.acc_seg": 75.04615, "aux.loss_seg": 0.08059, "aux.acc_seg": 73.76709, "loss": 0.23516, "time": 0.30014} +{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.15342, "decode.acc_seg": 76.69658, "aux.loss_seg": 0.08135, "aux.acc_seg": 75.29493, "loss": 0.23477, "time": 0.30111} +{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.14859, "decode.acc_seg": 75.60196, "aux.loss_seg": 0.07826, "aux.acc_seg": 74.29342, "loss": 0.22685, "time": 0.3004} +{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.15855, "decode.acc_seg": 75.11233, "aux.loss_seg": 0.08378, "aux.acc_seg": 73.7464, "loss": 0.24234, "time": 0.30136} +{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.1602, "decode.acc_seg": 75.07756, "aux.loss_seg": 0.08272, "aux.acc_seg": 73.82366, "loss": 0.24293, "time": 0.30044} +{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 36160, "data_time": 0.19602, "decode.loss_seg": 0.15243, "decode.acc_seg": 75.03806, "aux.loss_seg": 0.07959, "aux.acc_seg": 73.7391, "loss": 0.23202, "time": 0.49197} +{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14705, "decode.acc_seg": 75.51401, "aux.loss_seg": 0.07774, "aux.acc_seg": 74.23951, "loss": 0.22479, "time": 0.30006} +{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15989, "decode.acc_seg": 77.37292, "aux.loss_seg": 0.08213, "aux.acc_seg": 76.14558, "loss": 0.24202, "time": 0.2994} +{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.15685, "decode.acc_seg": 75.42388, "aux.loss_seg": 0.08196, "aux.acc_seg": 74.1337, "loss": 0.2388, "time": 0.29995} +{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15826, "decode.acc_seg": 75.41492, "aux.loss_seg": 0.08159, "aux.acc_seg": 74.15344, "loss": 0.23985, "time": 0.30022} +{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.15486, "decode.acc_seg": 74.04662, "aux.loss_seg": 0.08099, "aux.acc_seg": 72.69498, "loss": 0.23586, "time": 0.30043} +{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.1625, "decode.acc_seg": 74.75488, "aux.loss_seg": 0.08403, "aux.acc_seg": 73.49435, "loss": 0.24653, "time": 0.30215} +{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.15189, "decode.acc_seg": 76.27209, "aux.loss_seg": 0.07978, "aux.acc_seg": 74.98788, "loss": 0.23167, "time": 0.30135} +{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.15001, "decode.acc_seg": 75.81876, "aux.loss_seg": 0.07962, "aux.acc_seg": 74.48514, "loss": 0.22962, "time": 0.30209} +{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.15071, "decode.acc_seg": 75.29974, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.08084, "loss": 0.2298, "time": 0.30113} +{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.15472, "decode.acc_seg": 75.20071, "aux.loss_seg": 0.08164, "aux.acc_seg": 73.81993, "loss": 0.23636, "time": 0.30234} +{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15378, "decode.acc_seg": 76.38669, "aux.loss_seg": 0.08127, "aux.acc_seg": 75.02226, "loss": 0.23505, "time": 0.30202} +{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.14733, "decode.acc_seg": 74.85693, "aux.loss_seg": 0.07814, "aux.acc_seg": 73.47611, "loss": 0.22547, "time": 0.30233} +{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.16308, "decode.acc_seg": 75.57649, "aux.loss_seg": 0.08589, "aux.acc_seg": 74.15448, "loss": 0.24897, "time": 0.30136} +{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.15364, "decode.acc_seg": 76.74695, "aux.loss_seg": 0.08136, "aux.acc_seg": 75.37543, "loss": 0.235, "time": 0.30171} +{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.15737, "decode.acc_seg": 75.55239, "aux.loss_seg": 0.08296, "aux.acc_seg": 74.10934, "loss": 0.24032, "time": 0.30053} +{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.1491, "decode.acc_seg": 75.26794, "aux.loss_seg": 0.07764, "aux.acc_seg": 74.02303, "loss": 0.22674, "time": 0.3007} +{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15965, "decode.acc_seg": 75.36735, "aux.loss_seg": 0.08397, "aux.acc_seg": 74.02209, "loss": 0.24362, "time": 0.30028} +{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.15818, "decode.acc_seg": 76.03003, "aux.loss_seg": 0.08185, "aux.acc_seg": 74.76455, "loss": 0.24004, "time": 0.30068} +{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.16067, "decode.acc_seg": 75.92737, "aux.loss_seg": 0.08461, "aux.acc_seg": 74.58645, "loss": 0.24527, "time": 0.30037} +{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.14968, "decode.acc_seg": 75.63665, "aux.loss_seg": 0.07853, "aux.acc_seg": 74.28099, "loss": 0.2282, "time": 0.29955} +{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.15479, "decode.acc_seg": 74.73956, "aux.loss_seg": 0.08204, "aux.acc_seg": 73.50515, "loss": 0.23682, "time": 0.30083} +{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.15026, "decode.acc_seg": 75.51375, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.2875, "loss": 0.2293, "time": 0.29996} +{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.15063, "decode.acc_seg": 75.6201, "aux.loss_seg": 0.07951, "aux.acc_seg": 74.27121, "loss": 0.23013, "time": 0.30053} +{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.15595, "decode.acc_seg": 75.96827, "aux.loss_seg": 0.08255, "aux.acc_seg": 74.5803, "loss": 0.23851, "time": 0.30195} +{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 36160, "data_time": 0.18192, "decode.loss_seg": 0.15475, "decode.acc_seg": 75.90764, "aux.loss_seg": 0.08145, "aux.acc_seg": 74.52367, "loss": 0.23621, "time": 0.47786} +{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.14193, "decode.acc_seg": 74.83944, "aux.loss_seg": 0.07476, "aux.acc_seg": 73.61793, "loss": 0.21669, "time": 0.30143} +{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.14086, "decode.acc_seg": 76.08826, "aux.loss_seg": 0.07552, "aux.acc_seg": 74.72466, "loss": 0.21638, "time": 0.30157} +{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 36160, "data_time": 0.00619, "decode.loss_seg": 0.15449, "decode.acc_seg": 75.2893, "aux.loss_seg": 0.08179, "aux.acc_seg": 73.85075, "loss": 0.23627, "time": 0.30172} +{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.15665, "decode.acc_seg": 77.00778, "aux.loss_seg": 0.08231, "aux.acc_seg": 75.63428, "loss": 0.23895, "time": 0.30154} +{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.15002, "decode.acc_seg": 74.8748, "aux.loss_seg": 0.07857, "aux.acc_seg": 73.57369, "loss": 0.22859, "time": 0.30248} +{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.15239, "decode.acc_seg": 76.84441, "aux.loss_seg": 0.07909, "aux.acc_seg": 75.6195, "loss": 0.23148, "time": 0.30354} +{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.16272, "decode.acc_seg": 76.44975, "aux.loss_seg": 0.08354, "aux.acc_seg": 75.21241, "loss": 0.24626, "time": 0.30384} +{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.15689, "decode.acc_seg": 74.43011, "aux.loss_seg": 0.08191, "aux.acc_seg": 73.13204, "loss": 0.23879, "time": 0.30345} +{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.15023, "decode.acc_seg": 76.02406, "aux.loss_seg": 0.07989, "aux.acc_seg": 74.70192, "loss": 0.23012, "time": 0.3029} +{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15634, "decode.acc_seg": 74.19018, "aux.loss_seg": 0.08157, "aux.acc_seg": 72.89921, "loss": 0.23792, "time": 0.3027} +{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.15456, "decode.acc_seg": 75.14989, "aux.loss_seg": 0.08062, "aux.acc_seg": 73.8117, "loss": 0.23518, "time": 0.3045} +{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.15201, "decode.acc_seg": 75.96447, "aux.loss_seg": 0.08076, "aux.acc_seg": 74.61319, "loss": 0.23276, "time": 0.30375} +{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.15488, "decode.acc_seg": 75.92175, "aux.loss_seg": 0.0825, "aux.acc_seg": 74.57408, "loss": 0.23738, "time": 0.30294} +{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.15026, "decode.acc_seg": 74.08864, "aux.loss_seg": 0.0794, "aux.acc_seg": 72.76818, "loss": 0.22966, "time": 0.30228} +{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.15006, "decode.acc_seg": 74.57751, "aux.loss_seg": 0.07972, "aux.acc_seg": 73.2383, "loss": 0.22978, "time": 0.30351} +{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.15811, "decode.acc_seg": 74.69269, "aux.loss_seg": 0.08066, "aux.acc_seg": 73.50021, "loss": 0.23877, "time": 0.3029} +{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.15351, "decode.acc_seg": 75.66321, "aux.loss_seg": 0.0808, "aux.acc_seg": 74.37424, "loss": 0.2343, "time": 0.30337} +{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.1565, "decode.acc_seg": 76.47832, "aux.loss_seg": 0.08055, "aux.acc_seg": 75.20174, "loss": 0.23705, "time": 0.30344} +{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.15833, "decode.acc_seg": 75.06872, "aux.loss_seg": 0.08188, "aux.acc_seg": 73.82336, "loss": 0.24021, "time": 0.30512} +{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15693, "decode.acc_seg": 75.54078, "aux.loss_seg": 0.08295, "aux.acc_seg": 74.1535, "loss": 0.23988, "time": 0.3043} +{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.15565, "decode.acc_seg": 76.58159, "aux.loss_seg": 0.08268, "aux.acc_seg": 75.24319, "loss": 0.23834, "time": 0.30731} +{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.15092, "decode.acc_seg": 74.97593, "aux.loss_seg": 0.0803, "aux.acc_seg": 73.58264, "loss": 0.23123, "time": 0.30296} +{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.15943, "decode.acc_seg": 74.82537, "aux.loss_seg": 0.08343, "aux.acc_seg": 73.43866, "loss": 0.24286, "time": 0.30286} +{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.16222, "decode.acc_seg": 75.80235, "aux.loss_seg": 0.08416, "aux.acc_seg": 74.48033, "loss": 0.24638, "time": 0.30396} +{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 36160, "data_time": 0.16157, "decode.loss_seg": 0.15329, "decode.acc_seg": 75.67575, "aux.loss_seg": 0.08008, "aux.acc_seg": 74.43013, "loss": 0.23337, "time": 0.46998} +{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.14389, "decode.acc_seg": 75.58213, "aux.loss_seg": 0.07627, "aux.acc_seg": 74.26406, "loss": 0.22016, "time": 0.30073} +{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15689, "decode.acc_seg": 74.80162, "aux.loss_seg": 0.08368, "aux.acc_seg": 73.43363, "loss": 0.24057, "time": 0.30018} +{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15253, "decode.acc_seg": 75.92463, "aux.loss_seg": 0.08068, "aux.acc_seg": 74.56003, "loss": 0.23321, "time": 0.29978} +{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14674, "decode.acc_seg": 75.21418, "aux.loss_seg": 0.07692, "aux.acc_seg": 73.96429, "loss": 0.22366, "time": 0.30073} +{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14843, "decode.acc_seg": 75.78581, "aux.loss_seg": 0.0777, "aux.acc_seg": 74.53783, "loss": 0.22613, "time": 0.3} +{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.15672, "decode.acc_seg": 77.31845, "aux.loss_seg": 0.08216, "aux.acc_seg": 75.97113, "loss": 0.23888, "time": 0.29997} +{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.15271, "decode.acc_seg": 75.37724, "aux.loss_seg": 0.07955, "aux.acc_seg": 74.07309, "loss": 0.23226, "time": 0.30277} +{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.15107, "decode.acc_seg": 76.7279, "aux.loss_seg": 0.08016, "aux.acc_seg": 75.36616, "loss": 0.23123, "time": 0.30142} +{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14598, "decode.acc_seg": 73.59443, "aux.loss_seg": 0.07703, "aux.acc_seg": 72.29561, "loss": 0.223, "time": 0.30312} +{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15459, "decode.acc_seg": 74.80966, "aux.loss_seg": 0.08237, "aux.acc_seg": 73.38966, "loss": 0.23696, "time": 0.30083} +{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.15867, "decode.acc_seg": 74.09963, "aux.loss_seg": 0.08294, "aux.acc_seg": 72.73868, "loss": 0.24161, "time": 0.30133} +{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.1492, "decode.acc_seg": 75.69786, "aux.loss_seg": 0.07783, "aux.acc_seg": 74.49171, "loss": 0.22702, "time": 0.30106} +{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15313, "decode.acc_seg": 74.80549, "aux.loss_seg": 0.08182, "aux.acc_seg": 73.35412, "loss": 0.23495, "time": 0.30199} +{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.1542, "decode.acc_seg": 75.11562, "aux.loss_seg": 0.0818, "aux.acc_seg": 73.7388, "loss": 0.236, "time": 0.30075} +{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.15184, "decode.acc_seg": 74.96755, "aux.loss_seg": 0.07975, "aux.acc_seg": 73.6392, "loss": 0.23159, "time": 0.30041} +{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.14972, "decode.acc_seg": 73.41586, "aux.loss_seg": 0.07845, "aux.acc_seg": 72.15074, "loss": 0.22817, "time": 0.2998} +{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.15135, "decode.acc_seg": 75.12492, "aux.loss_seg": 0.07915, "aux.acc_seg": 73.87863, "loss": 0.2305, "time": 0.30103} +{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.14609, "decode.acc_seg": 75.94023, "aux.loss_seg": 0.07875, "aux.acc_seg": 74.54659, "loss": 0.22484, "time": 0.3002} +{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15808, "decode.acc_seg": 76.60495, "aux.loss_seg": 0.08237, "aux.acc_seg": 75.27307, "loss": 0.24045, "time": 0.30109} +{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.15072, "decode.acc_seg": 75.03813, "aux.loss_seg": 0.08001, "aux.acc_seg": 73.62169, "loss": 0.23073, "time": 0.29906} +{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.15091, "decode.acc_seg": 75.84849, "aux.loss_seg": 0.07813, "aux.acc_seg": 74.69956, "loss": 0.22904, "time": 0.30124} +{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.15178, "decode.acc_seg": 75.55498, "aux.loss_seg": 0.07954, "aux.acc_seg": 74.23667, "loss": 0.23131, "time": 0.29992} +{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14753, "decode.acc_seg": 75.96398, "aux.loss_seg": 0.07772, "aux.acc_seg": 74.67102, "loss": 0.22525, "time": 0.30167} +{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14994, "decode.acc_seg": 76.45066, "aux.loss_seg": 0.07895, "aux.acc_seg": 75.18854, "loss": 0.22889, "time": 0.30266} +{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 36160, "data_time": 0.16321, "decode.loss_seg": 0.15693, "decode.acc_seg": 76.04852, "aux.loss_seg": 0.08181, "aux.acc_seg": 74.77562, "loss": 0.23874, "time": 0.45994} +{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.15215, "decode.acc_seg": 74.28767, "aux.loss_seg": 0.07982, "aux.acc_seg": 72.99615, "loss": 0.23197, "time": 0.29918} +{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14592, "decode.acc_seg": 73.75853, "aux.loss_seg": 0.07647, "aux.acc_seg": 72.5163, "loss": 0.22239, "time": 0.29795} +{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.15027, "decode.acc_seg": 74.75268, "aux.loss_seg": 0.07847, "aux.acc_seg": 73.48354, "loss": 0.22874, "time": 0.29919} +{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.14424, "decode.acc_seg": 74.61039, "aux.loss_seg": 0.07692, "aux.acc_seg": 73.27171, "loss": 0.22116, "time": 0.29938} +{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.15136, "decode.acc_seg": 74.94536, "aux.loss_seg": 0.08166, "aux.acc_seg": 73.57559, "loss": 0.23302, "time": 0.30125} +{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.14428, "decode.acc_seg": 75.14666, "aux.loss_seg": 0.07636, "aux.acc_seg": 73.84014, "loss": 0.22064, "time": 0.29947} +{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.15333, "decode.acc_seg": 76.64334, "aux.loss_seg": 0.08144, "aux.acc_seg": 75.20237, "loss": 0.23476, "time": 0.30114} +{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.15932, "decode.acc_seg": 75.66486, "aux.loss_seg": 0.08206, "aux.acc_seg": 74.35958, "loss": 0.24139, "time": 0.30154} +{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16611, "decode.acc_seg": 76.13571, "aux.loss_seg": 0.08608, "aux.acc_seg": 74.78161, "loss": 0.25219, "time": 0.30041} +{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.14383, "decode.acc_seg": 77.58872, "aux.loss_seg": 0.0759, "aux.acc_seg": 76.29081, "loss": 0.21973, "time": 0.3007} +{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.15529, "decode.acc_seg": 74.61482, "aux.loss_seg": 0.08117, "aux.acc_seg": 73.29329, "loss": 0.23646, "time": 0.30017} +{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.1503, "decode.acc_seg": 76.01644, "aux.loss_seg": 0.07786, "aux.acc_seg": 74.79354, "loss": 0.22815, "time": 0.30093} +{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.15894, "decode.acc_seg": 75.54693, "aux.loss_seg": 0.08381, "aux.acc_seg": 74.19782, "loss": 0.24275, "time": 0.30031} +{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.1541, "decode.acc_seg": 75.1425, "aux.loss_seg": 0.08012, "aux.acc_seg": 73.86242, "loss": 0.23422, "time": 0.30073} +{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.14942, "decode.acc_seg": 76.5632, "aux.loss_seg": 0.0786, "aux.acc_seg": 75.1948, "loss": 0.22802, "time": 0.30055} +{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15063, "decode.acc_seg": 74.47972, "aux.loss_seg": 0.07967, "aux.acc_seg": 73.1204, "loss": 0.23029, "time": 0.30065} +{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.14654, "decode.acc_seg": 75.72836, "aux.loss_seg": 0.07586, "aux.acc_seg": 74.49834, "loss": 0.2224, "time": 0.30174} +{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.15099, "decode.acc_seg": 75.59721, "aux.loss_seg": 0.07929, "aux.acc_seg": 74.23871, "loss": 0.23028, "time": 0.30033} +{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.14621, "decode.acc_seg": 73.96369, "aux.loss_seg": 0.07712, "aux.acc_seg": 72.67669, "loss": 0.22333, "time": 0.30012} +{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.14969, "decode.acc_seg": 76.14055, "aux.loss_seg": 0.07973, "aux.acc_seg": 74.76133, "loss": 0.22942, "time": 0.30185} +{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.16323, "decode.acc_seg": 76.42573, "aux.loss_seg": 0.08558, "aux.acc_seg": 75.0297, "loss": 0.24881, "time": 0.30318} +{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.15761, "decode.acc_seg": 74.57792, "aux.loss_seg": 0.08171, "aux.acc_seg": 73.28887, "loss": 0.23932, "time": 0.30339} +{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.1541, "decode.acc_seg": 75.32396, "aux.loss_seg": 0.0819, "aux.acc_seg": 73.87476, "loss": 0.236, "time": 0.30151} +{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14705, "decode.acc_seg": 73.9557, "aux.loss_seg": 0.07875, "aux.acc_seg": 72.57848, "loss": 0.2258, "time": 0.30028} +{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.1449, "decode.acc_seg": 75.38323, "aux.loss_seg": 0.07676, "aux.acc_seg": 74.06488, "loss": 0.22167, "time": 0.30117} +{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 36160, "data_time": 0.18251, "decode.loss_seg": 0.14721, "decode.acc_seg": 75.73431, "aux.loss_seg": 0.07628, "aux.acc_seg": 74.50855, "loss": 0.22349, "time": 0.47738} +{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.1535, "decode.acc_seg": 75.7092, "aux.loss_seg": 0.08119, "aux.acc_seg": 74.40359, "loss": 0.23469, "time": 0.3016} +{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.15294, "decode.acc_seg": 75.2118, "aux.loss_seg": 0.07978, "aux.acc_seg": 73.91085, "loss": 0.23272, "time": 0.30256} +{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.14731, "decode.acc_seg": 75.39301, "aux.loss_seg": 0.07983, "aux.acc_seg": 73.93776, "loss": 0.22714, "time": 0.30349} +{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.15317, "decode.acc_seg": 75.21831, "aux.loss_seg": 0.08068, "aux.acc_seg": 73.88556, "loss": 0.23385, "time": 0.30428} +{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.15092, "decode.acc_seg": 73.78961, "aux.loss_seg": 0.07953, "aux.acc_seg": 72.43218, "loss": 0.23045, "time": 0.30028} +{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.1454, "decode.acc_seg": 74.29896, "aux.loss_seg": 0.07558, "aux.acc_seg": 73.10573, "loss": 0.22097, "time": 0.30018} +{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.15392, "decode.acc_seg": 75.52945, "aux.loss_seg": 0.08127, "aux.acc_seg": 74.19349, "loss": 0.23519, "time": 0.30022} +{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.15456, "decode.acc_seg": 75.64996, "aux.loss_seg": 0.08128, "aux.acc_seg": 74.24499, "loss": 0.23585, "time": 0.30092} +{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 36160, "data_time": 0.00642, "decode.loss_seg": 0.15888, "decode.acc_seg": 76.2727, "aux.loss_seg": 0.08301, "aux.acc_seg": 74.99504, "loss": 0.24189, "time": 0.30212} +{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.15036, "decode.acc_seg": 74.8973, "aux.loss_seg": 0.0786, "aux.acc_seg": 73.71414, "loss": 0.22896, "time": 0.30161} +{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.14392, "decode.acc_seg": 75.18205, "aux.loss_seg": 0.07659, "aux.acc_seg": 73.78061, "loss": 0.2205, "time": 0.30079} +{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.15636, "decode.acc_seg": 76.80086, "aux.loss_seg": 0.08315, "aux.acc_seg": 75.37981, "loss": 0.23951, "time": 0.30235} +{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 36160, "data_time": 0.00619, "decode.loss_seg": 0.14569, "decode.acc_seg": 75.01817, "aux.loss_seg": 0.0775, "aux.acc_seg": 73.66635, "loss": 0.22319, "time": 0.30099} +{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.15199, "decode.acc_seg": 76.05869, "aux.loss_seg": 0.07951, "aux.acc_seg": 74.83649, "loss": 0.2315, "time": 0.30217} +{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.14949, "decode.acc_seg": 74.82028, "aux.loss_seg": 0.08082, "aux.acc_seg": 73.31751, "loss": 0.23032, "time": 0.30194} +{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.14669, "decode.acc_seg": 75.41284, "aux.loss_seg": 0.07805, "aux.acc_seg": 74.00349, "loss": 0.22474, "time": 0.3024} +{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.15595, "decode.acc_seg": 75.83643, "aux.loss_seg": 0.08213, "aux.acc_seg": 74.46597, "loss": 0.23808, "time": 0.30519} +{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.1453, "decode.acc_seg": 74.72217, "aux.loss_seg": 0.0764, "aux.acc_seg": 73.45593, "loss": 0.22171, "time": 0.30416} +{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15063, "decode.acc_seg": 75.76324, "aux.loss_seg": 0.07836, "aux.acc_seg": 74.53802, "loss": 0.22898, "time": 0.3035} +{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.15158, "decode.acc_seg": 74.93359, "aux.loss_seg": 0.08123, "aux.acc_seg": 73.52108, "loss": 0.23281, "time": 0.30363} +{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.15126, "decode.acc_seg": 75.28435, "aux.loss_seg": 0.07846, "aux.acc_seg": 73.99996, "loss": 0.22972, "time": 0.3035} +{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.15244, "decode.acc_seg": 76.06895, "aux.loss_seg": 0.08125, "aux.acc_seg": 74.56267, "loss": 0.23369, "time": 0.30276} +{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.15604, "decode.acc_seg": 74.85395, "aux.loss_seg": 0.08372, "aux.acc_seg": 73.37965, "loss": 0.23975, "time": 0.30357} +{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.13994, "decode.acc_seg": 75.81026, "aux.loss_seg": 0.07517, "aux.acc_seg": 74.43035, "loss": 0.21511, "time": 0.30387} +{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 36160, "data_time": 0.17833, "decode.loss_seg": 0.14294, "decode.acc_seg": 76.1056, "aux.loss_seg": 0.07591, "aux.acc_seg": 74.75291, "loss": 0.21886, "time": 0.47601} +{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14403, "decode.acc_seg": 75.47709, "aux.loss_seg": 0.07667, "aux.acc_seg": 74.12065, "loss": 0.2207, "time": 0.30298} +{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.15322, "decode.acc_seg": 75.50811, "aux.loss_seg": 0.08051, "aux.acc_seg": 74.15929, "loss": 0.23373, "time": 0.30086} +{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14995, "decode.acc_seg": 76.65674, "aux.loss_seg": 0.07884, "aux.acc_seg": 75.3581, "loss": 0.22879, "time": 0.29973} +{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.14867, "decode.acc_seg": 75.33452, "aux.loss_seg": 0.07858, "aux.acc_seg": 74.01931, "loss": 0.22725, "time": 0.30061} +{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14155, "decode.acc_seg": 76.0748, "aux.loss_seg": 0.07562, "aux.acc_seg": 74.72368, "loss": 0.21717, "time": 0.3003} +{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.15389, "decode.acc_seg": 73.8576, "aux.loss_seg": 0.08049, "aux.acc_seg": 72.64531, "loss": 0.23439, "time": 0.30101} +{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.16198, "decode.acc_seg": 76.66653, "aux.loss_seg": 0.08455, "aux.acc_seg": 75.3535, "loss": 0.24653, "time": 0.30022} +{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.15172, "decode.acc_seg": 76.73325, "aux.loss_seg": 0.07966, "aux.acc_seg": 75.4416, "loss": 0.23138, "time": 0.29981} +{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14381, "decode.acc_seg": 75.73902, "aux.loss_seg": 0.07661, "aux.acc_seg": 74.39987, "loss": 0.22042, "time": 0.30112} +{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.1571, "decode.acc_seg": 76.40373, "aux.loss_seg": 0.08328, "aux.acc_seg": 75.01926, "loss": 0.24037, "time": 0.30048} +{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14915, "decode.acc_seg": 76.33575, "aux.loss_seg": 0.078, "aux.acc_seg": 75.09306, "loss": 0.22715, "time": 0.2995} +{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.15342, "decode.acc_seg": 76.11987, "aux.loss_seg": 0.08175, "aux.acc_seg": 74.70124, "loss": 0.23517, "time": 0.2999} +{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.14739, "decode.acc_seg": 75.49291, "aux.loss_seg": 0.07879, "aux.acc_seg": 74.0674, "loss": 0.22618, "time": 0.30285} +{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.14295, "decode.acc_seg": 76.496, "aux.loss_seg": 0.07532, "aux.acc_seg": 75.26188, "loss": 0.21826, "time": 0.30141} +{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14052, "decode.acc_seg": 75.72918, "aux.loss_seg": 0.07611, "aux.acc_seg": 74.29359, "loss": 0.21663, "time": 0.30136} +{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.15697, "decode.acc_seg": 76.76089, "aux.loss_seg": 0.08151, "aux.acc_seg": 75.47839, "loss": 0.23848, "time": 0.30066} +{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.15586, "decode.acc_seg": 75.2023, "aux.loss_seg": 0.08193, "aux.acc_seg": 73.85156, "loss": 0.23779, "time": 0.30194} +{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.1548, "decode.acc_seg": 75.90113, "aux.loss_seg": 0.08221, "aux.acc_seg": 74.55402, "loss": 0.23702, "time": 0.30106} +{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.15368, "decode.acc_seg": 76.24126, "aux.loss_seg": 0.08109, "aux.acc_seg": 74.86188, "loss": 0.23478, "time": 0.3012} +{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.14612, "decode.acc_seg": 76.31003, "aux.loss_seg": 0.07685, "aux.acc_seg": 75.01178, "loss": 0.22297, "time": 0.30258} +{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.14554, "decode.acc_seg": 73.31031, "aux.loss_seg": 0.07606, "aux.acc_seg": 72.08069, "loss": 0.2216, "time": 0.30361} +{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14812, "decode.acc_seg": 76.78349, "aux.loss_seg": 0.07846, "aux.acc_seg": 75.47567, "loss": 0.22658, "time": 0.30308} +{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.1564, "decode.acc_seg": 76.81947, "aux.loss_seg": 0.08299, "aux.acc_seg": 75.38024, "loss": 0.23939, "time": 0.30147} +{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.14928, "decode.acc_seg": 74.94192, "aux.loss_seg": 0.07909, "aux.acc_seg": 73.51573, "loss": 0.22836, "time": 0.30376} +{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 36160, "data_time": 0.18144, "decode.loss_seg": 0.14864, "decode.acc_seg": 76.63151, "aux.loss_seg": 0.07931, "aux.acc_seg": 75.23768, "loss": 0.22795, "time": 0.47786} +{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14935, "decode.acc_seg": 75.18729, "aux.loss_seg": 0.07852, "aux.acc_seg": 73.82544, "loss": 0.22787, "time": 0.30056} +{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.14997, "decode.acc_seg": 76.00011, "aux.loss_seg": 0.07897, "aux.acc_seg": 74.68884, "loss": 0.22895, "time": 0.30089} +{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14516, "decode.acc_seg": 74.00929, "aux.loss_seg": 0.07741, "aux.acc_seg": 72.68267, "loss": 0.22257, "time": 0.30126} +{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.14666, "decode.acc_seg": 76.22055, "aux.loss_seg": 0.07756, "aux.acc_seg": 74.95275, "loss": 0.22422, "time": 0.30211} +{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.15345, "decode.acc_seg": 75.8986, "aux.loss_seg": 0.081, "aux.acc_seg": 74.5432, "loss": 0.23445, "time": 0.301} +{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15003, "decode.acc_seg": 76.74318, "aux.loss_seg": 0.07957, "aux.acc_seg": 75.43159, "loss": 0.2296, "time": 0.30118} +{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.14405, "decode.acc_seg": 76.59609, "aux.loss_seg": 0.07536, "aux.acc_seg": 75.34496, "loss": 0.21941, "time": 0.30309} +{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.14154, "decode.acc_seg": 74.79383, "aux.loss_seg": 0.07544, "aux.acc_seg": 73.53248, "loss": 0.21698, "time": 0.30125} +{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.15034, "decode.acc_seg": 76.39994, "aux.loss_seg": 0.07915, "aux.acc_seg": 75.01612, "loss": 0.22949, "time": 0.30125} +{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.15956, "decode.acc_seg": 76.34446, "aux.loss_seg": 0.08637, "aux.acc_seg": 74.79167, "loss": 0.24592, "time": 0.30127} +{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.14699, "decode.acc_seg": 75.69629, "aux.loss_seg": 0.07664, "aux.acc_seg": 74.46456, "loss": 0.22363, "time": 0.30399} +{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14898, "decode.acc_seg": 75.7732, "aux.loss_seg": 0.07945, "aux.acc_seg": 74.44545, "loss": 0.22843, "time": 0.30237} +{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14283, "decode.acc_seg": 76.08221, "aux.loss_seg": 0.07666, "aux.acc_seg": 74.7353, "loss": 0.2195, "time": 0.30238} +{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.15346, "decode.acc_seg": 76.43897, "aux.loss_seg": 0.08212, "aux.acc_seg": 74.99437, "loss": 0.23558, "time": 0.30193} +{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.15619, "decode.acc_seg": 74.59738, "aux.loss_seg": 0.08225, "aux.acc_seg": 73.17022, "loss": 0.23844, "time": 0.30195} +{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.15453, "decode.acc_seg": 74.85417, "aux.loss_seg": 0.0824, "aux.acc_seg": 73.47292, "loss": 0.23694, "time": 0.30016} +{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.14448, "decode.acc_seg": 74.24512, "aux.loss_seg": 0.07688, "aux.acc_seg": 72.98994, "loss": 0.22135, "time": 0.30342} +{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14198, "decode.acc_seg": 75.95672, "aux.loss_seg": 0.07528, "aux.acc_seg": 74.65544, "loss": 0.21726, "time": 0.30179} +{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.1473, "decode.acc_seg": 75.29053, "aux.loss_seg": 0.0763, "aux.acc_seg": 74.07082, "loss": 0.22361, "time": 0.30277} +{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.1447, "decode.acc_seg": 74.96276, "aux.loss_seg": 0.07724, "aux.acc_seg": 73.63621, "loss": 0.22194, "time": 0.30209} +{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14775, "decode.acc_seg": 75.76057, "aux.loss_seg": 0.07708, "aux.acc_seg": 74.55927, "loss": 0.22482, "time": 0.30164} +{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.15357, "decode.acc_seg": 75.03693, "aux.loss_seg": 0.0802, "aux.acc_seg": 73.68886, "loss": 0.23377, "time": 0.30148} +{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.14563, "decode.acc_seg": 74.78059, "aux.loss_seg": 0.07692, "aux.acc_seg": 73.51235, "loss": 0.22255, "time": 0.30184} +{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.15005, "decode.acc_seg": 75.22957, "aux.loss_seg": 0.08045, "aux.acc_seg": 73.88023, "loss": 0.2305, "time": 0.30166} +{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 36160, "data_time": 0.17254, "decode.loss_seg": 0.15145, "decode.acc_seg": 75.40453, "aux.loss_seg": 0.07954, "aux.acc_seg": 74.12704, "loss": 0.23098, "time": 0.468} +{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.14857, "decode.acc_seg": 75.9156, "aux.loss_seg": 0.07766, "aux.acc_seg": 74.67318, "loss": 0.22623, "time": 0.30115} +{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.14677, "decode.acc_seg": 76.26922, "aux.loss_seg": 0.07844, "aux.acc_seg": 74.87621, "loss": 0.22521, "time": 0.3008} +{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.14557, "decode.acc_seg": 75.52301, "aux.loss_seg": 0.07635, "aux.acc_seg": 74.26164, "loss": 0.22192, "time": 0.30103} +{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.14653, "decode.acc_seg": 74.78909, "aux.loss_seg": 0.07726, "aux.acc_seg": 73.55493, "loss": 0.22378, "time": 0.30079} +{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.15021, "decode.acc_seg": 76.30333, "aux.loss_seg": 0.0797, "aux.acc_seg": 74.97125, "loss": 0.2299, "time": 0.30048} +{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.1495, "decode.acc_seg": 76.76858, "aux.loss_seg": 0.07954, "aux.acc_seg": 75.4412, "loss": 0.22903, "time": 0.30047} +{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.14641, "decode.acc_seg": 74.2977, "aux.loss_seg": 0.07815, "aux.acc_seg": 72.94646, "loss": 0.22456, "time": 0.30131} +{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15656, "decode.acc_seg": 77.25331, "aux.loss_seg": 0.08326, "aux.acc_seg": 75.75783, "loss": 0.23982, "time": 0.30219} +{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.14514, "decode.acc_seg": 74.92894, "aux.loss_seg": 0.07805, "aux.acc_seg": 73.53295, "loss": 0.22319, "time": 0.30306} +{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.15536, "decode.acc_seg": 75.32155, "aux.loss_seg": 0.08084, "aux.acc_seg": 74.06805, "loss": 0.2362, "time": 0.30307} +{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.15226, "decode.acc_seg": 75.736, "aux.loss_seg": 0.08084, "aux.acc_seg": 74.36712, "loss": 0.2331, "time": 0.30295} +{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.151, "decode.acc_seg": 75.56677, "aux.loss_seg": 0.07943, "aux.acc_seg": 74.20833, "loss": 0.23043, "time": 0.30332} +{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15412, "decode.acc_seg": 75.83077, "aux.loss_seg": 0.08032, "aux.acc_seg": 74.55412, "loss": 0.23444, "time": 0.30431} +{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.15798, "decode.acc_seg": 76.96261, "aux.loss_seg": 0.08318, "aux.acc_seg": 75.59, "loss": 0.24116, "time": 0.30226} +{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.15201, "decode.acc_seg": 76.40155, "aux.loss_seg": 0.0799, "aux.acc_seg": 75.06203, "loss": 0.23191, "time": 0.30277} +{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.14638, "decode.acc_seg": 76.08713, "aux.loss_seg": 0.07785, "aux.acc_seg": 74.72147, "loss": 0.22423, "time": 0.30308} +{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.14981, "decode.acc_seg": 75.30609, "aux.loss_seg": 0.07854, "aux.acc_seg": 74.11921, "loss": 0.22835, "time": 0.30227} +{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.15451, "decode.acc_seg": 75.73518, "aux.loss_seg": 0.0825, "aux.acc_seg": 74.27971, "loss": 0.23701, "time": 0.30108} +{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.14728, "decode.acc_seg": 76.2188, "aux.loss_seg": 0.07908, "aux.acc_seg": 74.88158, "loss": 0.22635, "time": 0.30145} +{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.13607, "decode.acc_seg": 75.24348, "aux.loss_seg": 0.07272, "aux.acc_seg": 73.98499, "loss": 0.20879, "time": 0.30203} +{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15013, "decode.acc_seg": 75.69335, "aux.loss_seg": 0.08083, "aux.acc_seg": 74.24673, "loss": 0.23095, "time": 0.30215} +{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.15004, "decode.acc_seg": 75.70967, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.42809, "loss": 0.22908, "time": 0.30217} +{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.14535, "decode.acc_seg": 74.31899, "aux.loss_seg": 0.07724, "aux.acc_seg": 72.96391, "loss": 0.22259, "time": 0.30223} +{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.1474, "decode.acc_seg": 75.10434, "aux.loss_seg": 0.07852, "aux.acc_seg": 73.65203, "loss": 0.22592, "time": 0.30135} +{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.14762, "decode.acc_seg": 75.72371, "aux.loss_seg": 0.0783, "aux.acc_seg": 74.35816, "loss": 0.22592, "time": 0.30316} +{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 36160, "data_time": 0.17825, "decode.loss_seg": 0.14147, "decode.acc_seg": 75.7265, "aux.loss_seg": 0.07482, "aux.acc_seg": 74.42293, "loss": 0.2163, "time": 0.47377} +{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.14843, "decode.acc_seg": 76.11619, "aux.loss_seg": 0.07887, "aux.acc_seg": 74.71416, "loss": 0.22731, "time": 0.29943} +{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.1382, "decode.acc_seg": 73.90066, "aux.loss_seg": 0.07423, "aux.acc_seg": 72.59779, "loss": 0.21243, "time": 0.29939} +{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14709, "decode.acc_seg": 76.4474, "aux.loss_seg": 0.07912, "aux.acc_seg": 75.09424, "loss": 0.22621, "time": 0.30046} +{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.1524, "decode.acc_seg": 75.73311, "aux.loss_seg": 0.08115, "aux.acc_seg": 74.31003, "loss": 0.23355, "time": 0.29971} +{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.15189, "decode.acc_seg": 75.52005, "aux.loss_seg": 0.08118, "aux.acc_seg": 74.11482, "loss": 0.23307, "time": 0.30074} +{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.15399, "decode.acc_seg": 75.06943, "aux.loss_seg": 0.08236, "aux.acc_seg": 73.64603, "loss": 0.23635, "time": 0.30192} +{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15321, "decode.acc_seg": 76.75232, "aux.loss_seg": 0.08145, "aux.acc_seg": 75.31545, "loss": 0.23466, "time": 0.30436} +{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.15203, "decode.acc_seg": 76.55771, "aux.loss_seg": 0.08066, "aux.acc_seg": 75.19144, "loss": 0.23269, "time": 0.30432} +{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14864, "decode.acc_seg": 76.40696, "aux.loss_seg": 0.0787, "aux.acc_seg": 75.05601, "loss": 0.22734, "time": 0.3011} +{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.14861, "decode.acc_seg": 75.70464, "aux.loss_seg": 0.07923, "aux.acc_seg": 74.41783, "loss": 0.22784, "time": 0.30037} +{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.14889, "decode.acc_seg": 75.1898, "aux.loss_seg": 0.07862, "aux.acc_seg": 73.89444, "loss": 0.22751, "time": 0.301} +{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.14516, "decode.acc_seg": 74.10986, "aux.loss_seg": 0.07729, "aux.acc_seg": 72.80555, "loss": 0.22245, "time": 0.30157} +{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.1505, "decode.acc_seg": 75.83917, "aux.loss_seg": 0.07945, "aux.acc_seg": 74.52251, "loss": 0.22995, "time": 0.30354} +{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14802, "decode.acc_seg": 76.27721, "aux.loss_seg": 0.07745, "aux.acc_seg": 75.0095, "loss": 0.22547, "time": 0.30151} +{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.14006, "decode.acc_seg": 75.30808, "aux.loss_seg": 0.07495, "aux.acc_seg": 74.00793, "loss": 0.215, "time": 0.29979} +{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.15182, "decode.acc_seg": 75.87875, "aux.loss_seg": 0.07858, "aux.acc_seg": 74.67179, "loss": 0.2304, "time": 0.29944} +{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.14995, "decode.acc_seg": 76.63006, "aux.loss_seg": 0.08021, "aux.acc_seg": 75.21684, "loss": 0.23016, "time": 0.30269} +{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.14529, "decode.acc_seg": 75.63795, "aux.loss_seg": 0.07581, "aux.acc_seg": 74.38741, "loss": 0.2211, "time": 0.30058} +{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15375, "decode.acc_seg": 76.1514, "aux.loss_seg": 0.08134, "aux.acc_seg": 74.79341, "loss": 0.23509, "time": 0.30286} +{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.14446, "decode.acc_seg": 73.87951, "aux.loss_seg": 0.07658, "aux.acc_seg": 72.60213, "loss": 0.22104, "time": 0.30331} +{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.13814, "decode.acc_seg": 75.29646, "aux.loss_seg": 0.07258, "aux.acc_seg": 74.09036, "loss": 0.21072, "time": 0.30251} +{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.04046, "aux.loss_seg": 0.07633, "aux.acc_seg": 73.74893, "loss": 0.22055, "time": 0.30177} +{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14769, "decode.acc_seg": 74.96616, "aux.loss_seg": 0.07755, "aux.acc_seg": 73.63322, "loss": 0.22524, "time": 0.30274} +{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.15168, "decode.acc_seg": 76.13254, "aux.loss_seg": 0.0799, "aux.acc_seg": 74.84106, "loss": 0.23159, "time": 0.30157} +{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 36160, "data_time": 0.17455, "decode.loss_seg": 0.15488, "decode.acc_seg": 74.18941, "aux.loss_seg": 0.08212, "aux.acc_seg": 72.78439, "loss": 0.237, "time": 0.47116} +{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.14557, "decode.acc_seg": 76.77891, "aux.loss_seg": 0.07721, "aux.acc_seg": 75.40425, "loss": 0.22278, "time": 0.30033} +{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.14419, "decode.acc_seg": 75.63007, "aux.loss_seg": 0.07711, "aux.acc_seg": 74.26471, "loss": 0.2213, "time": 0.30042} +{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.15066, "decode.acc_seg": 75.46356, "aux.loss_seg": 0.0808, "aux.acc_seg": 74.02068, "loss": 0.23146, "time": 0.29877} +{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14433, "decode.acc_seg": 75.75777, "aux.loss_seg": 0.07752, "aux.acc_seg": 74.40664, "loss": 0.22185, "time": 0.29884} +{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.14986, "decode.acc_seg": 76.09731, "aux.loss_seg": 0.0785, "aux.acc_seg": 74.84203, "loss": 0.22836, "time": 0.29812} +{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.14923, "decode.acc_seg": 75.32182, "aux.loss_seg": 0.07816, "aux.acc_seg": 74.04351, "loss": 0.22739, "time": 0.29846} +{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14683, "decode.acc_seg": 76.53096, "aux.loss_seg": 0.07745, "aux.acc_seg": 75.20331, "loss": 0.22428, "time": 0.30243} +{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.15162, "decode.acc_seg": 76.21695, "aux.loss_seg": 0.08002, "aux.acc_seg": 74.87182, "loss": 0.23163, "time": 0.30133} +{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14421, "decode.acc_seg": 76.05785, "aux.loss_seg": 0.07744, "aux.acc_seg": 74.6711, "loss": 0.22164, "time": 0.30372} +{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15195, "decode.acc_seg": 75.78164, "aux.loss_seg": 0.08097, "aux.acc_seg": 74.3373, "loss": 0.23292, "time": 0.3023} +{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.14735, "decode.acc_seg": 74.41783, "aux.loss_seg": 0.07818, "aux.acc_seg": 73.01573, "loss": 0.22554, "time": 0.3025} +{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.14925, "decode.acc_seg": 76.05825, "aux.loss_seg": 0.07874, "aux.acc_seg": 74.68789, "loss": 0.22799, "time": 0.30173} +{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.15597, "decode.acc_seg": 76.69785, "aux.loss_seg": 0.08204, "aux.acc_seg": 75.30184, "loss": 0.238, "time": 0.30088} +{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14122, "decode.acc_seg": 75.79131, "aux.loss_seg": 0.07466, "aux.acc_seg": 74.60096, "loss": 0.21588, "time": 0.3011} +{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.15124, "decode.acc_seg": 76.12596, "aux.loss_seg": 0.07979, "aux.acc_seg": 74.79099, "loss": 0.23104, "time": 0.30381} +{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.13382, "decode.acc_seg": 73.43015, "aux.loss_seg": 0.07058, "aux.acc_seg": 72.24964, "loss": 0.2044, "time": 0.30271} +{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.14589, "decode.acc_seg": 76.92162, "aux.loss_seg": 0.07791, "aux.acc_seg": 75.60586, "loss": 0.2238, "time": 0.30285} +{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14155, "decode.acc_seg": 76.14304, "aux.loss_seg": 0.07494, "aux.acc_seg": 74.91662, "loss": 0.21649, "time": 0.30154} +{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.14774, "decode.acc_seg": 76.49157, "aux.loss_seg": 0.07919, "aux.acc_seg": 75.12654, "loss": 0.22693, "time": 0.30095} +{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.14505, "decode.acc_seg": 76.42298, "aux.loss_seg": 0.07742, "aux.acc_seg": 75.06169, "loss": 0.22246, "time": 0.30003} +{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14675, "decode.acc_seg": 76.29154, "aux.loss_seg": 0.07632, "aux.acc_seg": 75.07595, "loss": 0.22307, "time": 0.30067} +{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14631, "decode.acc_seg": 76.26801, "aux.loss_seg": 0.0767, "aux.acc_seg": 75.04549, "loss": 0.22301, "time": 0.29915} +{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.15219, "decode.acc_seg": 76.24043, "aux.loss_seg": 0.08124, "aux.acc_seg": 74.85802, "loss": 0.23343, "time": 0.29904} +{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14316, "decode.acc_seg": 76.50991, "aux.loss_seg": 0.07542, "aux.acc_seg": 75.22325, "loss": 0.21858, "time": 0.29888} +{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4866, "mAcc": 0.6054, "aAcc": 0.8267, "IoU.wall": 0.7681, "IoU.building": 0.8175, "IoU.sky": 0.9361, "IoU.floor": 0.8113, "IoU.tree": 0.736, "IoU.ceiling": 0.8391, "IoU.road": 0.8239, "IoU.bed ": 0.8693, "IoU.windowpane": 0.5992, "IoU.grass": 0.6734, "IoU.cabinet": 0.6124, "IoU.sidewalk": 0.6547, "IoU.person": 0.7823, "IoU.earth": 0.3964, "IoU.door": 0.4615, "IoU.table": 0.578, "IoU.mountain": 0.5829, "IoU.plant": 0.526, "IoU.curtain": 0.717, "IoU.chair": 0.5527, "IoU.car": 0.834, "IoU.water": 0.5298, "IoU.painting": 0.7441, "IoU.sofa": 0.6337, "IoU.shelf": 0.4111, "IoU.house": 0.4384, "IoU.sea": 0.5842, "IoU.mirror": 0.6403, "IoU.rug": 0.6337, "IoU.field": 0.3182, "IoU.armchair": 0.4163, "IoU.seat": 0.6069, "IoU.fence": 0.4282, "IoU.desk": 0.4925, "IoU.rock": 0.4017, "IoU.wardrobe": 0.4893, "IoU.lamp": 0.6111, "IoU.bathtub": 0.7503, "IoU.railing": 0.3528, "IoU.cushion": 0.57, "IoU.base": 0.3017, "IoU.box": 0.2686, "IoU.column": 0.4309, "IoU.signboard": 0.3723, "IoU.chest of drawers": 0.377, "IoU.counter": 0.3071, "IoU.sand": 0.506, "IoU.sink": 0.6966, "IoU.skyscraper": 0.6871, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7676, "IoU.grandstand": 0.4021, "IoU.path": 0.259, "IoU.stairs": 0.3055, "IoU.runway": 0.711, "IoU.case": 0.4182, "IoU.pool table": 0.9197, "IoU.pillow": 0.5605, "IoU.screen door": 0.6213, "IoU.stairway": 0.321, "IoU.river": 0.1542, "IoU.bridge": 0.7123, "IoU.bookcase": 0.3942, "IoU.blind": NaN, "IoU.coffee table": 0.5139, "IoU.toilet": 0.8199, "IoU.flower": 0.4577, "IoU.book": 0.4384, "IoU.hill": 0.1345, "IoU.bench": 0.4609, "IoU.countertop": 0.5499, "IoU.stove": 0.7444, "IoU.palm": 0.5049, "IoU.kitchen island": 0.3908, "IoU.computer": 0.6441, "IoU.swivel chair": 0.4493, "IoU.boat": 0.6417, "IoU.bar": 0.3199, "IoU.arcade machine": 0.464, "IoU.hovel": 0.3442, "IoU.bus": 0.8614, "IoU.towel": 0.6576, "IoU.light": 0.5428, "IoU.truck": 0.2478, "IoU.tower": 0.0446, "IoU.chandelier": 0.6376, "IoU.awning": 0.2928, "IoU.streetlight": 0.2325, "IoU.booth": 0.6241, "IoU.television receiver": NaN, "IoU.airplane": 0.5973, "IoU.dirt track": 0.0002, "IoU.apparel": 0.3152, "IoU.pole": 0.1774, "IoU.land": 0.0438, "IoU.bannister": 0.0906, "IoU.escalator": 0.3833, "IoU.ottoman": 0.3954, "IoU.bottle": NaN, "IoU.buffet": 0.4565, "IoU.poster": 0.316, "IoU.stage": 0.2027, "IoU.van": 0.3799, "IoU.ship": 0.7541, "IoU.fountain": 0.2113, "IoU.conveyer belt": 0.8453, "IoU.canopy": 0.189, "IoU.washer": 0.7307, "IoU.plaything": 0.185, "IoU.swimming pool": 0.633, "IoU.stool": 0.366, "IoU.barrel": 0.444, "IoU.basket": 0.3364, "IoU.waterfall": 0.4922, "IoU.tent": 0.9375, "IoU.bag": 0.1104, "IoU.minibike": 0.7459, "IoU.cradle": NaN, "IoU.oven": 0.3788, "IoU.ball": 0.4788, "IoU.food": 0.3152, "IoU.step": 0.0928, "IoU.tank": 0.4961, "IoU.trade name": 0.284, "IoU.microwave": 0.728, "IoU.pot": 0.5254, "IoU.animal": NaN, "IoU.bicycle": 0.5479, "IoU.lake": 0.4878, "IoU.dishwasher": 0.5784, "IoU.screen": 0.6264, "IoU.blanket": 0.1485, "IoU.sculpture": 0.6477, "IoU.hood": 0.5864, "IoU.sconce": 0.447, "IoU.vase": 0.3792, "IoU.traffic light": 0.3013, "IoU.tray": 0.0787, "IoU.ashcan": 0.4051, "IoU.fan": 0.6294, "IoU.pier": 0.455, "IoU.crt screen": 0.073, "IoU.plate": 0.561, "IoU.monitor": 0.178, "IoU.bulletin board": 0.4673, "IoU.shower": 0.0343, "IoU.radiator": 0.646, "IoU.glass": 0.155, "IoU.clock": 0.4095, "IoU.flag": 0.4517, "Acc.wall": 0.8773, "Acc.building": 0.9219, "Acc.sky": 0.9738, "Acc.floor": 0.9005, "Acc.tree": 0.8615, "Acc.ceiling": 0.9291, "Acc.road": 0.8955, "Acc.bed ": 0.9446, "Acc.windowpane": 0.7795, "Acc.grass": 0.8401, "Acc.cabinet": 0.7449, "Acc.sidewalk": 0.8172, "Acc.person": 0.9153, "Acc.earth": 0.5283, "Acc.door": 0.609, "Acc.table": 0.7319, "Acc.mountain": 0.7361, "Acc.plant": 0.6242, "Acc.curtain": 0.8314, "Acc.chair": 0.6856, "Acc.car": 0.9155, "Acc.water": 0.6765, "Acc.painting": 0.8743, "Acc.sofa": 0.821, "Acc.shelf": 0.5786, "Acc.house": 0.6011, "Acc.sea": 0.8215, "Acc.mirror": 0.7253, "Acc.rug": 0.7592, "Acc.field": 0.485, "Acc.armchair": 0.5845, "Acc.seat": 0.804, "Acc.fence": 0.5726, "Acc.desk": 0.6517, "Acc.rock": 0.6513, "Acc.wardrobe": 0.6398, "Acc.lamp": 0.7361, "Acc.bathtub": 0.8316, "Acc.railing": 0.4901, "Acc.cushion": 0.7182, "Acc.base": 0.4084, "Acc.box": 0.3446, "Acc.column": 0.5167, "Acc.signboard": 0.5249, "Acc.chest of drawers": 0.5233, "Acc.counter": 0.3751, "Acc.sand": 0.7699, "Acc.sink": 0.7961, "Acc.skyscraper": 0.8725, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8421, "Acc.grandstand": 0.6898, "Acc.path": 0.368, "Acc.stairs": 0.3591, "Acc.runway": 0.9211, "Acc.case": 0.534, "Acc.pool table": 0.9641, "Acc.pillow": 0.658, "Acc.screen door": 0.7484, "Acc.stairway": 0.4012, "Acc.river": 0.2989, "Acc.bridge": 0.7992, "Acc.bookcase": 0.4831, "Acc.blind": NaN, "Acc.coffee table": 0.7928, "Acc.toilet": 0.8873, "Acc.flower": 0.6213, "Acc.book": 0.6513, "Acc.hill": 0.203, "Acc.bench": 0.5287, "Acc.countertop": 0.7299, "Acc.stove": 0.8058, "Acc.palm": 0.7771, "Acc.kitchen island": 0.7126, "Acc.computer": 0.7564, "Acc.swivel chair": 0.6098, "Acc.boat": 0.7864, "Acc.bar": 0.4113, "Acc.arcade machine": 0.5045, "Acc.hovel": 0.3644, "Acc.bus": 0.9488, "Acc.towel": 0.8038, "Acc.light": 0.6279, "Acc.truck": 0.3377, "Acc.tower": 0.0781, "Acc.chandelier": 0.8005, "Acc.awning": 0.3387, "Acc.streetlight": 0.3083, "Acc.booth": 0.7159, "Acc.television receiver": NaN, "Acc.airplane": 0.7353, "Acc.dirt track": 0.0003, "Acc.apparel": 0.4599, "Acc.pole": 0.2652, "Acc.land": 0.0625, "Acc.bannister": 0.1152, "Acc.escalator": 0.4185, "Acc.ottoman": 0.6087, "Acc.bottle": NaN, "Acc.buffet": 0.5401, "Acc.poster": 0.4239, "Acc.stage": 0.2788, "Acc.van": 0.5338, "Acc.ship": 0.9217, "Acc.fountain": 0.217, "Acc.conveyer belt": 0.9097, "Acc.canopy": 0.3002, "Acc.washer": 0.7619, "Acc.plaything": 0.3076, "Acc.swimming pool": 0.7959, "Acc.stool": 0.5403, "Acc.barrel": 0.7215, "Acc.basket": 0.4512, "Acc.waterfall": 0.6432, "Acc.tent": 0.9779, "Acc.bag": 0.1317, "Acc.minibike": 0.888, "Acc.cradle": NaN, "Acc.oven": 0.6488, "Acc.ball": 0.5487, "Acc.food": 0.3662, "Acc.step": 0.1085, "Acc.tank": 0.5627, "Acc.trade name": 0.3369, "Acc.microwave": 0.821, "Acc.pot": 0.5766, "Acc.animal": NaN, "Acc.bicycle": 0.7617, "Acc.lake": 0.558, "Acc.dishwasher": 0.7317, "Acc.screen": 0.7088, "Acc.blanket": 0.1757, "Acc.sculpture": 0.7958, "Acc.hood": 0.6524, "Acc.sconce": 0.5587, "Acc.vase": 0.552, "Acc.traffic light": 0.4265, "Acc.tray": 0.1639, "Acc.ashcan": 0.5102, "Acc.fan": 0.7933, "Acc.pier": 0.7097, "Acc.crt screen": 0.2332, "Acc.plate": 0.7324, "Acc.monitor": 0.2057, "Acc.bulletin board": 0.5649, "Acc.shower": 0.0494, "Acc.radiator": 0.7283, "Acc.glass": 0.1718, "Acc.clock": 0.5314, "Acc.flag": 0.4931} +{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 36160, "data_time": 1.65775, "decode.loss_seg": 0.14611, "decode.acc_seg": 76.61452, "aux.loss_seg": 0.07784, "aux.acc_seg": 75.27775, "loss": 0.22395, "time": 1.95766} +{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.14948, "decode.acc_seg": 75.62741, "aux.loss_seg": 0.07802, "aux.acc_seg": 74.34907, "loss": 0.2275, "time": 0.30164} +{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.14856, "decode.acc_seg": 75.66586, "aux.loss_seg": 0.0785, "aux.acc_seg": 74.34562, "loss": 0.22705, "time": 0.30215} +{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 36160, "data_time": 0.00443, "decode.loss_seg": 0.14792, "decode.acc_seg": 75.08422, "aux.loss_seg": 0.07979, "aux.acc_seg": 73.60438, "loss": 0.22771, "time": 0.30217} +{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.13925, "decode.acc_seg": 75.11674, "aux.loss_seg": 0.07431, "aux.acc_seg": 73.82753, "loss": 0.21356, "time": 0.30158} +{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.14564, "decode.acc_seg": 75.677, "aux.loss_seg": 0.07751, "aux.acc_seg": 74.39371, "loss": 0.22315, "time": 0.30258} +{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14929, "decode.acc_seg": 76.08717, "aux.loss_seg": 0.07857, "aux.acc_seg": 74.82891, "loss": 0.22786, "time": 0.30276} +{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.14595, "decode.acc_seg": 74.89992, "aux.loss_seg": 0.07713, "aux.acc_seg": 73.60111, "loss": 0.22307, "time": 0.30179} +{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.15535, "decode.acc_seg": 76.76886, "aux.loss_seg": 0.08251, "aux.acc_seg": 75.37423, "loss": 0.23785, "time": 0.30373} +{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.15118, "decode.acc_seg": 75.24191, "aux.loss_seg": 0.07989, "aux.acc_seg": 73.93872, "loss": 0.23107, "time": 0.30351} +{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14473, "decode.acc_seg": 74.68672, "aux.loss_seg": 0.07653, "aux.acc_seg": 73.41582, "loss": 0.22126, "time": 0.3033} +{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.14343, "decode.acc_seg": 75.02108, "aux.loss_seg": 0.07597, "aux.acc_seg": 73.77436, "loss": 0.21939, "time": 0.30269} +{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.14734, "decode.acc_seg": 76.76058, "aux.loss_seg": 0.07831, "aux.acc_seg": 75.43756, "loss": 0.22565, "time": 0.30315} +{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.15453, "decode.acc_seg": 76.49835, "aux.loss_seg": 0.08029, "aux.acc_seg": 75.12678, "loss": 0.23482, "time": 0.30179} +{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.14965, "decode.acc_seg": 76.30125, "aux.loss_seg": 0.0796, "aux.acc_seg": 74.89316, "loss": 0.22924, "time": 0.30183} +{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14879, "decode.acc_seg": 75.25536, "aux.loss_seg": 0.07913, "aux.acc_seg": 73.83837, "loss": 0.22792, "time": 0.30234} +{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.14143, "decode.acc_seg": 74.64862, "aux.loss_seg": 0.07574, "aux.acc_seg": 73.31865, "loss": 0.21716, "time": 0.30407} +{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.15052, "decode.acc_seg": 76.23973, "aux.loss_seg": 0.07982, "aux.acc_seg": 74.93809, "loss": 0.23035, "time": 0.30151} +{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.14239, "decode.acc_seg": 75.27032, "aux.loss_seg": 0.07553, "aux.acc_seg": 73.92757, "loss": 0.21792, "time": 0.30135} +{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.13907, "decode.acc_seg": 76.63423, "aux.loss_seg": 0.0752, "aux.acc_seg": 75.24742, "loss": 0.21427, "time": 0.30212} +{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.14795, "decode.acc_seg": 74.28416, "aux.loss_seg": 0.07905, "aux.acc_seg": 72.94963, "loss": 0.227, "time": 0.30013} +{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.14991, "decode.acc_seg": 75.52449, "aux.loss_seg": 0.07967, "aux.acc_seg": 74.09408, "loss": 0.22957, "time": 0.30045} +{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.14567, "decode.acc_seg": 74.8695, "aux.loss_seg": 0.07766, "aux.acc_seg": 73.50135, "loss": 0.22333, "time": 0.30235} +{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.1373, "decode.acc_seg": 76.06651, "aux.loss_seg": 0.07288, "aux.acc_seg": 74.82487, "loss": 0.21018, "time": 0.30125} +{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 36160, "data_time": 0.17763, "decode.loss_seg": 0.15011, "decode.acc_seg": 75.39469, "aux.loss_seg": 0.08078, "aux.acc_seg": 73.94838, "loss": 0.23089, "time": 0.47521} +{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14802, "decode.acc_seg": 76.0394, "aux.loss_seg": 0.07833, "aux.acc_seg": 74.69943, "loss": 0.22635, "time": 0.30268} +{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.15558, "decode.acc_seg": 74.3252, "aux.loss_seg": 0.08189, "aux.acc_seg": 72.98709, "loss": 0.23747, "time": 0.30374} +{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.14567, "decode.acc_seg": 75.63566, "aux.loss_seg": 0.07844, "aux.acc_seg": 74.23394, "loss": 0.22411, "time": 0.30504} +{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.14666, "decode.acc_seg": 75.25826, "aux.loss_seg": 0.07877, "aux.acc_seg": 73.85557, "loss": 0.22543, "time": 0.30486} +{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.15015, "decode.acc_seg": 75.72506, "aux.loss_seg": 0.08059, "aux.acc_seg": 74.28886, "loss": 0.23074, "time": 0.30558} +{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.14205, "decode.acc_seg": 75.86375, "aux.loss_seg": 0.07649, "aux.acc_seg": 74.50233, "loss": 0.21854, "time": 0.30273} +{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.14192, "decode.acc_seg": 75.30346, "aux.loss_seg": 0.07582, "aux.acc_seg": 73.92544, "loss": 0.21774, "time": 0.30273} +{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.14774, "decode.acc_seg": 76.58381, "aux.loss_seg": 0.07849, "aux.acc_seg": 75.21962, "loss": 0.22623, "time": 0.30401} +{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14119, "decode.acc_seg": 75.68805, "aux.loss_seg": 0.07516, "aux.acc_seg": 74.33946, "loss": 0.21634, "time": 0.30303} +{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.14644, "decode.acc_seg": 76.42249, "aux.loss_seg": 0.07756, "aux.acc_seg": 75.08756, "loss": 0.224, "time": 0.30262} +{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.14758, "decode.acc_seg": 75.04098, "aux.loss_seg": 0.07937, "aux.acc_seg": 73.74344, "loss": 0.22695, "time": 0.30163} +{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.14234, "decode.acc_seg": 75.38828, "aux.loss_seg": 0.07555, "aux.acc_seg": 74.06549, "loss": 0.21789, "time": 0.30153} +{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.1558, "decode.acc_seg": 76.79789, "aux.loss_seg": 0.08214, "aux.acc_seg": 75.41257, "loss": 0.23794, "time": 0.30255} +{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.14127, "decode.acc_seg": 76.25437, "aux.loss_seg": 0.07388, "aux.acc_seg": 75.00164, "loss": 0.21515, "time": 0.30612} +{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.14379, "decode.acc_seg": 75.37797, "aux.loss_seg": 0.0779, "aux.acc_seg": 73.93316, "loss": 0.22169, "time": 0.30345} +{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14298, "decode.acc_seg": 74.59125, "aux.loss_seg": 0.0771, "aux.acc_seg": 73.21837, "loss": 0.22009, "time": 0.30289} +{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14863, "decode.acc_seg": 76.394, "aux.loss_seg": 0.07807, "aux.acc_seg": 75.10106, "loss": 0.2267, "time": 0.30065} +{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.14941, "decode.acc_seg": 76.89696, "aux.loss_seg": 0.07846, "aux.acc_seg": 75.62629, "loss": 0.22787, "time": 0.30036} +{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14541, "decode.acc_seg": 75.08302, "aux.loss_seg": 0.07763, "aux.acc_seg": 73.71792, "loss": 0.22305, "time": 0.2999} +{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14103, "decode.acc_seg": 75.07558, "aux.loss_seg": 0.07488, "aux.acc_seg": 73.76897, "loss": 0.21591, "time": 0.30053} +{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14302, "decode.acc_seg": 74.67673, "aux.loss_seg": 0.07657, "aux.acc_seg": 73.38643, "loss": 0.21959, "time": 0.30069} +{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.1434, "decode.acc_seg": 76.46063, "aux.loss_seg": 0.0763, "aux.acc_seg": 75.10882, "loss": 0.2197, "time": 0.30007} +{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.14065, "decode.acc_seg": 75.35703, "aux.loss_seg": 0.07511, "aux.acc_seg": 74.09429, "loss": 0.21576, "time": 0.29907} +{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.88412, "aux.loss_seg": 0.07568, "aux.acc_seg": 74.65587, "loss": 0.2199, "time": 0.30082} +{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.14489, "decode.acc_seg": 76.47281, "aux.loss_seg": 0.07741, "aux.acc_seg": 75.07638, "loss": 0.2223, "time": 0.30116} +{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 36160, "data_time": 0.17379, "decode.loss_seg": 0.13585, "decode.acc_seg": 75.19901, "aux.loss_seg": 0.07167, "aux.acc_seg": 74.06139, "loss": 0.20752, "time": 0.46937} +{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14198, "decode.acc_seg": 75.45132, "aux.loss_seg": 0.07476, "aux.acc_seg": 74.18523, "loss": 0.21674, "time": 0.30091} +{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.14362, "decode.acc_seg": 76.42589, "aux.loss_seg": 0.07706, "aux.acc_seg": 75.02702, "loss": 0.22068, "time": 0.30219} +{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14164, "decode.acc_seg": 75.9588, "aux.loss_seg": 0.07559, "aux.acc_seg": 74.67037, "loss": 0.21722, "time": 0.30203} +{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15449, "decode.acc_seg": 76.46364, "aux.loss_seg": 0.08107, "aux.acc_seg": 75.09793, "loss": 0.23556, "time": 0.30262} +{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14312, "decode.acc_seg": 75.41279, "aux.loss_seg": 0.07602, "aux.acc_seg": 74.08259, "loss": 0.21914, "time": 0.30205} +{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.14053, "decode.acc_seg": 76.44386, "aux.loss_seg": 0.0747, "aux.acc_seg": 75.17093, "loss": 0.21522, "time": 0.30192} +{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.14033, "decode.acc_seg": 76.56309, "aux.loss_seg": 0.07462, "aux.acc_seg": 75.28176, "loss": 0.21496, "time": 0.30203} +{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.14822, "decode.acc_seg": 74.92935, "aux.loss_seg": 0.07797, "aux.acc_seg": 73.60679, "loss": 0.22619, "time": 0.30134} +{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.14095, "decode.acc_seg": 75.53225, "aux.loss_seg": 0.07439, "aux.acc_seg": 74.30597, "loss": 0.21534, "time": 0.30332} +{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.14087, "decode.acc_seg": 74.97141, "aux.loss_seg": 0.07484, "aux.acc_seg": 73.70333, "loss": 0.21571, "time": 0.30366} +{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14959, "decode.acc_seg": 75.22148, "aux.loss_seg": 0.07933, "aux.acc_seg": 73.86123, "loss": 0.22891, "time": 0.3014} +{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.14518, "decode.acc_seg": 77.27973, "aux.loss_seg": 0.07709, "aux.acc_seg": 75.97143, "loss": 0.22228, "time": 0.30192} +{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.14402, "decode.acc_seg": 75.67577, "aux.loss_seg": 0.07691, "aux.acc_seg": 74.34469, "loss": 0.22093, "time": 0.30122} +{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.14677, "decode.acc_seg": 76.27268, "aux.loss_seg": 0.07765, "aux.acc_seg": 74.91289, "loss": 0.22442, "time": 0.30131} +{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.14858, "decode.acc_seg": 75.21411, "aux.loss_seg": 0.07817, "aux.acc_seg": 73.93931, "loss": 0.22675, "time": 0.30259} +{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.1469, "decode.acc_seg": 76.43035, "aux.loss_seg": 0.07879, "aux.acc_seg": 75.046, "loss": 0.22569, "time": 0.30219} +{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.14185, "decode.acc_seg": 74.98508, "aux.loss_seg": 0.07501, "aux.acc_seg": 73.66275, "loss": 0.21686, "time": 0.30201} +{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.14547, "decode.acc_seg": 75.04535, "aux.loss_seg": 0.07689, "aux.acc_seg": 73.73675, "loss": 0.22235, "time": 0.30261} +{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.13651, "decode.acc_seg": 75.29452, "aux.loss_seg": 0.07279, "aux.acc_seg": 74.04003, "loss": 0.2093, "time": 0.30024} +{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.15132, "decode.acc_seg": 76.63029, "aux.loss_seg": 0.08031, "aux.acc_seg": 75.28175, "loss": 0.23162, "time": 0.30143} +{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.15072, "decode.acc_seg": 75.08105, "aux.loss_seg": 0.08075, "aux.acc_seg": 73.6672, "loss": 0.23147, "time": 0.30079} +{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.14846, "decode.acc_seg": 76.15396, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.83334, "loss": 0.22755, "time": 0.3027} +{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14392, "decode.acc_seg": 76.61374, "aux.loss_seg": 0.07784, "aux.acc_seg": 75.19885, "loss": 0.22175, "time": 0.30284} +{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.14282, "decode.acc_seg": 75.47365, "aux.loss_seg": 0.07659, "aux.acc_seg": 74.13255, "loss": 0.21941, "time": 0.30199} +{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 36160, "data_time": 0.17421, "decode.loss_seg": 0.1429, "decode.acc_seg": 75.22248, "aux.loss_seg": 0.0773, "aux.acc_seg": 73.83739, "loss": 0.2202, "time": 0.46925} +{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.14266, "decode.acc_seg": 74.8614, "aux.loss_seg": 0.07506, "aux.acc_seg": 73.64134, "loss": 0.21772, "time": 0.30099} +{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.14211, "decode.acc_seg": 75.47602, "aux.loss_seg": 0.0745, "aux.acc_seg": 74.28902, "loss": 0.21661, "time": 0.30148} +{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.14851, "decode.acc_seg": 74.90521, "aux.loss_seg": 0.07814, "aux.acc_seg": 73.57235, "loss": 0.22665, "time": 0.29982} +{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.14908, "decode.acc_seg": 76.30726, "aux.loss_seg": 0.0795, "aux.acc_seg": 74.95174, "loss": 0.22858, "time": 0.29933} +{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.14486, "decode.acc_seg": 75.55453, "aux.loss_seg": 0.07577, "aux.acc_seg": 74.34664, "loss": 0.22063, "time": 0.30028} +{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.13988, "decode.acc_seg": 75.63152, "aux.loss_seg": 0.07702, "aux.acc_seg": 74.14801, "loss": 0.2169, "time": 0.30241} +{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.14897, "decode.acc_seg": 75.71678, "aux.loss_seg": 0.07942, "aux.acc_seg": 74.38922, "loss": 0.22839, "time": 0.3028} +{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.14878, "decode.acc_seg": 77.24827, "aux.loss_seg": 0.07963, "aux.acc_seg": 75.84188, "loss": 0.2284, "time": 0.30123} +{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.14062, "decode.acc_seg": 76.38035, "aux.loss_seg": 0.07585, "aux.acc_seg": 75.067, "loss": 0.21646, "time": 0.30088} +{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14554, "decode.acc_seg": 76.07721, "aux.loss_seg": 0.07667, "aux.acc_seg": 74.79918, "loss": 0.22221, "time": 0.29979} +{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.14596, "decode.acc_seg": 74.73878, "aux.loss_seg": 0.07793, "aux.acc_seg": 73.32766, "loss": 0.22389, "time": 0.30014} +{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14535, "decode.acc_seg": 75.68296, "aux.loss_seg": 0.07653, "aux.acc_seg": 74.44875, "loss": 0.22188, "time": 0.3007} +{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.14857, "decode.acc_seg": 76.64641, "aux.loss_seg": 0.07931, "aux.acc_seg": 75.31841, "loss": 0.22788, "time": 0.30104} +{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.13995, "decode.acc_seg": 75.47781, "aux.loss_seg": 0.07439, "aux.acc_seg": 74.17505, "loss": 0.21434, "time": 0.30083} +{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14622, "decode.acc_seg": 76.16276, "aux.loss_seg": 0.07745, "aux.acc_seg": 74.81275, "loss": 0.22367, "time": 0.30124} +{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.14413, "decode.acc_seg": 75.68675, "aux.loss_seg": 0.07728, "aux.acc_seg": 74.35787, "loss": 0.22141, "time": 0.30043} +{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14098, "decode.acc_seg": 75.83205, "aux.loss_seg": 0.0737, "aux.acc_seg": 74.65417, "loss": 0.21467, "time": 0.30081} +{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.14486, "decode.acc_seg": 75.19544, "aux.loss_seg": 0.07688, "aux.acc_seg": 73.84119, "loss": 0.22173, "time": 0.30091} +{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.1492, "decode.acc_seg": 76.5124, "aux.loss_seg": 0.07769, "aux.acc_seg": 75.26429, "loss": 0.22688, "time": 0.30112} +{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.14171, "decode.acc_seg": 76.32726, "aux.loss_seg": 0.07613, "aux.acc_seg": 74.99273, "loss": 0.21784, "time": 0.30104} +{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.14539, "decode.acc_seg": 78.00067, "aux.loss_seg": 0.07827, "aux.acc_seg": 76.59801, "loss": 0.22366, "time": 0.30006} +{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.15067, "decode.acc_seg": 75.66254, "aux.loss_seg": 0.08255, "aux.acc_seg": 74.13559, "loss": 0.23321, "time": 0.30089} +{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.14404, "decode.acc_seg": 75.23223, "aux.loss_seg": 0.07635, "aux.acc_seg": 73.89485, "loss": 0.22039, "time": 0.30096} +{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15275, "decode.acc_seg": 75.04309, "aux.loss_seg": 0.08047, "aux.acc_seg": 73.676, "loss": 0.23322, "time": 0.29988} +{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 36160, "data_time": 0.17666, "decode.loss_seg": 0.14494, "decode.acc_seg": 75.33278, "aux.loss_seg": 0.07726, "aux.acc_seg": 74.00994, "loss": 0.2222, "time": 0.47086} +{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.14444, "decode.acc_seg": 75.55306, "aux.loss_seg": 0.07563, "aux.acc_seg": 74.28838, "loss": 0.22007, "time": 0.30056} +{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.14544, "decode.acc_seg": 75.76626, "aux.loss_seg": 0.07668, "aux.acc_seg": 74.47126, "loss": 0.22213, "time": 0.30107} +{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.1482, "decode.acc_seg": 76.47739, "aux.loss_seg": 0.07858, "aux.acc_seg": 75.11204, "loss": 0.22678, "time": 0.30275} +{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14753, "decode.acc_seg": 76.38222, "aux.loss_seg": 0.07966, "aux.acc_seg": 74.89112, "loss": 0.2272, "time": 0.30258} +{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14396, "decode.acc_seg": 75.82132, "aux.loss_seg": 0.07644, "aux.acc_seg": 74.53042, "loss": 0.22041, "time": 0.3005} +{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.1372, "decode.acc_seg": 74.05494, "aux.loss_seg": 0.07237, "aux.acc_seg": 72.89054, "loss": 0.20956, "time": 0.30208} +{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14122, "decode.acc_seg": 75.73441, "aux.loss_seg": 0.07587, "aux.acc_seg": 74.41171, "loss": 0.21709, "time": 0.30116} +{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.13739, "decode.acc_seg": 74.55225, "aux.loss_seg": 0.07255, "aux.acc_seg": 73.28621, "loss": 0.20994, "time": 0.30087} +{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.14783, "decode.acc_seg": 76.47844, "aux.loss_seg": 0.07886, "aux.acc_seg": 75.10695, "loss": 0.22669, "time": 0.30009} +{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.15553, "decode.acc_seg": 75.45049, "aux.loss_seg": 0.08092, "aux.acc_seg": 74.08469, "loss": 0.23645, "time": 0.30056} +{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.14754, "decode.acc_seg": 76.15413, "aux.loss_seg": 0.07885, "aux.acc_seg": 74.77035, "loss": 0.22639, "time": 0.30204} +{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.14481, "decode.acc_seg": 75.30645, "aux.loss_seg": 0.07697, "aux.acc_seg": 74.00111, "loss": 0.22179, "time": 0.30119} +{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.14834, "decode.acc_seg": 75.70664, "aux.loss_seg": 0.07812, "aux.acc_seg": 74.45759, "loss": 0.22647, "time": 0.30076} +{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.14095, "decode.acc_seg": 74.34274, "aux.loss_seg": 0.07521, "aux.acc_seg": 73.03661, "loss": 0.21616, "time": 0.3021} +{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.14422, "decode.acc_seg": 76.30772, "aux.loss_seg": 0.07669, "aux.acc_seg": 75.15286, "loss": 0.22092, "time": 0.30202} +{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.14056, "decode.acc_seg": 75.64415, "aux.loss_seg": 0.07477, "aux.acc_seg": 74.32572, "loss": 0.21533, "time": 0.30086} +{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.14526, "decode.acc_seg": 76.33257, "aux.loss_seg": 0.07863, "aux.acc_seg": 74.87772, "loss": 0.22389, "time": 0.30342} +{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.15175, "decode.acc_seg": 75.17066, "aux.loss_seg": 0.08053, "aux.acc_seg": 73.79344, "loss": 0.23229, "time": 0.30262} +{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14249, "decode.acc_seg": 75.92725, "aux.loss_seg": 0.07605, "aux.acc_seg": 74.5717, "loss": 0.21854, "time": 0.302} +{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.14757, "decode.acc_seg": 76.04375, "aux.loss_seg": 0.07758, "aux.acc_seg": 74.72485, "loss": 0.22515, "time": 0.3009} +{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.14752, "decode.acc_seg": 76.37725, "aux.loss_seg": 0.07748, "aux.acc_seg": 75.08337, "loss": 0.225, "time": 0.30125} +{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.13978, "decode.acc_seg": 75.5552, "aux.loss_seg": 0.07439, "aux.acc_seg": 74.2483, "loss": 0.21417, "time": 0.30334} +{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.14141, "decode.acc_seg": 75.95735, "aux.loss_seg": 0.07593, "aux.acc_seg": 74.634, "loss": 0.21734, "time": 0.30089} +{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.1377, "decode.acc_seg": 76.58143, "aux.loss_seg": 0.07274, "aux.acc_seg": 75.36951, "loss": 0.21044, "time": 0.30088} +{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 36160, "data_time": 0.17412, "decode.loss_seg": 0.14659, "decode.acc_seg": 75.4823, "aux.loss_seg": 0.07754, "aux.acc_seg": 74.19913, "loss": 0.22413, "time": 0.46872} +{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.14457, "decode.acc_seg": 75.61892, "aux.loss_seg": 0.07713, "aux.acc_seg": 74.24959, "loss": 0.22171, "time": 0.3013} +{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.14137, "decode.acc_seg": 75.41876, "aux.loss_seg": 0.07567, "aux.acc_seg": 74.03378, "loss": 0.21703, "time": 0.30116} +{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.14062, "decode.acc_seg": 74.87771, "aux.loss_seg": 0.07642, "aux.acc_seg": 73.40537, "loss": 0.21703, "time": 0.29995} +{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.13818, "decode.acc_seg": 76.74033, "aux.loss_seg": 0.07413, "aux.acc_seg": 75.47054, "loss": 0.21231, "time": 0.29975} +{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.14536, "decode.acc_seg": 76.6454, "aux.loss_seg": 0.07741, "aux.acc_seg": 75.28634, "loss": 0.22277, "time": 0.29923} +{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.13816, "decode.acc_seg": 74.60522, "aux.loss_seg": 0.07367, "aux.acc_seg": 73.26521, "loss": 0.21183, "time": 0.3023} +{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.14878, "decode.acc_seg": 75.67317, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.37035, "loss": 0.22782, "time": 0.30289} +{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.14814, "decode.acc_seg": 75.24815, "aux.loss_seg": 0.0783, "aux.acc_seg": 73.88264, "loss": 0.22644, "time": 0.30226} +{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.14152, "decode.acc_seg": 75.25415, "aux.loss_seg": 0.07567, "aux.acc_seg": 73.84837, "loss": 0.21718, "time": 0.30394} +{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.14441, "decode.acc_seg": 76.48898, "aux.loss_seg": 0.07673, "aux.acc_seg": 75.14376, "loss": 0.22114, "time": 0.30556} +{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.14425, "decode.acc_seg": 75.34009, "aux.loss_seg": 0.07691, "aux.acc_seg": 74.02946, "loss": 0.22117, "time": 0.30197} +{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.15239, "decode.acc_seg": 75.98246, "aux.loss_seg": 0.08148, "aux.acc_seg": 74.5732, "loss": 0.23387, "time": 0.3037} +{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.14656, "decode.acc_seg": 76.19272, "aux.loss_seg": 0.07734, "aux.acc_seg": 74.93187, "loss": 0.2239, "time": 0.30217} +{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 36160, "data_time": 0.00669, "decode.loss_seg": 0.14224, "decode.acc_seg": 76.46139, "aux.loss_seg": 0.07644, "aux.acc_seg": 75.07547, "loss": 0.21868, "time": 0.30261} +{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.15027, "decode.acc_seg": 75.71156, "aux.loss_seg": 0.07963, "aux.acc_seg": 74.35945, "loss": 0.2299, "time": 0.3024} +{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14157, "decode.acc_seg": 76.6194, "aux.loss_seg": 0.07506, "aux.acc_seg": 75.33983, "loss": 0.21663, "time": 0.30225} +{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.14644, "decode.acc_seg": 76.71018, "aux.loss_seg": 0.07785, "aux.acc_seg": 75.36491, "loss": 0.22429, "time": 0.30296} +{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 36160, "data_time": 0.00639, "decode.loss_seg": 0.13731, "decode.acc_seg": 78.02403, "aux.loss_seg": 0.07353, "aux.acc_seg": 76.76153, "loss": 0.21084, "time": 0.30261} +{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.13863, "decode.acc_seg": 75.37435, "aux.loss_seg": 0.07404, "aux.acc_seg": 74.07644, "loss": 0.21267, "time": 0.30193} +{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.14344, "decode.acc_seg": 75.89956, "aux.loss_seg": 0.07647, "aux.acc_seg": 74.57875, "loss": 0.21992, "time": 0.30212} +{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.13913, "decode.acc_seg": 76.03823, "aux.loss_seg": 0.07217, "aux.acc_seg": 74.8392, "loss": 0.2113, "time": 0.30196} +{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.1394, "decode.acc_seg": 76.89056, "aux.loss_seg": 0.07449, "aux.acc_seg": 75.55817, "loss": 0.21389, "time": 0.30261} +{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.14797, "decode.acc_seg": 77.1951, "aux.loss_seg": 0.07918, "aux.acc_seg": 75.80009, "loss": 0.22715, "time": 0.30311} +{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 36160, "data_time": 0.00672, "decode.loss_seg": 0.1494, "decode.acc_seg": 75.87262, "aux.loss_seg": 0.07834, "aux.acc_seg": 74.56381, "loss": 0.22774, "time": 0.30448} +{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.14394, "decode.acc_seg": 75.84141, "aux.loss_seg": 0.07537, "aux.acc_seg": 74.61531, "loss": 0.21931, "time": 0.30187} +{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 36160, "data_time": 0.17056, "decode.loss_seg": 0.14336, "decode.acc_seg": 76.0946, "aux.loss_seg": 0.07611, "aux.acc_seg": 74.7932, "loss": 0.21948, "time": 0.46871} +{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.14027, "decode.acc_seg": 76.76874, "aux.loss_seg": 0.07555, "aux.acc_seg": 75.42851, "loss": 0.21582, "time": 0.3007} +{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.13782, "decode.acc_seg": 74.4359, "aux.loss_seg": 0.07439, "aux.acc_seg": 73.11644, "loss": 0.21221, "time": 0.30072} +{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14798, "decode.acc_seg": 76.86329, "aux.loss_seg": 0.07799, "aux.acc_seg": 75.564, "loss": 0.22597, "time": 0.30145} +{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.14234, "decode.acc_seg": 76.2496, "aux.loss_seg": 0.07507, "aux.acc_seg": 75.01901, "loss": 0.21741, "time": 0.30178} +{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14541, "decode.acc_seg": 75.55132, "aux.loss_seg": 0.07699, "aux.acc_seg": 74.22943, "loss": 0.2224, "time": 0.30503} +{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.14339, "decode.acc_seg": 75.15176, "aux.loss_seg": 0.07703, "aux.acc_seg": 73.75478, "loss": 0.22042, "time": 0.3055} +{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14835, "decode.acc_seg": 75.96192, "aux.loss_seg": 0.07974, "aux.acc_seg": 74.5748, "loss": 0.22809, "time": 0.30552} +{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.14062, "decode.acc_seg": 74.89128, "aux.loss_seg": 0.07573, "aux.acc_seg": 73.51618, "loss": 0.21635, "time": 0.30535} +{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.14286, "decode.acc_seg": 75.50021, "aux.loss_seg": 0.07613, "aux.acc_seg": 74.13155, "loss": 0.21899, "time": 0.30374} +{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.14427, "decode.acc_seg": 74.63533, "aux.loss_seg": 0.07728, "aux.acc_seg": 73.31305, "loss": 0.22155, "time": 0.30468} +{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14732, "decode.acc_seg": 77.26158, "aux.loss_seg": 0.07867, "aux.acc_seg": 75.88268, "loss": 0.226, "time": 0.30471} +{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.14229, "decode.acc_seg": 76.14971, "aux.loss_seg": 0.07596, "aux.acc_seg": 74.8096, "loss": 0.21825, "time": 0.30517} +{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.14429, "decode.acc_seg": 76.97209, "aux.loss_seg": 0.07648, "aux.acc_seg": 75.67615, "loss": 0.22077, "time": 0.30558} +{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.14323, "decode.acc_seg": 75.82712, "aux.loss_seg": 0.07616, "aux.acc_seg": 74.5472, "loss": 0.21939, "time": 0.30537} +{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.15021, "decode.acc_seg": 75.53209, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.18578, "loss": 0.2293, "time": 0.30405} +{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14048, "decode.acc_seg": 74.57821, "aux.loss_seg": 0.07358, "aux.acc_seg": 73.31501, "loss": 0.21407, "time": 0.30388} +{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.13746, "decode.acc_seg": 75.88323, "aux.loss_seg": 0.07421, "aux.acc_seg": 74.57525, "loss": 0.21167, "time": 0.30502} +{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.14436, "decode.acc_seg": 76.79382, "aux.loss_seg": 0.0775, "aux.acc_seg": 75.40949, "loss": 0.22185, "time": 0.30086} +{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.14283, "decode.acc_seg": 76.38834, "aux.loss_seg": 0.07527, "aux.acc_seg": 75.10194, "loss": 0.2181, "time": 0.30039} +{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.14573, "decode.acc_seg": 76.28515, "aux.loss_seg": 0.07777, "aux.acc_seg": 74.97667, "loss": 0.2235, "time": 0.29925} +{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14965, "decode.acc_seg": 76.3314, "aux.loss_seg": 0.08029, "aux.acc_seg": 74.92239, "loss": 0.22994, "time": 0.30295} +{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.13758, "decode.acc_seg": 75.20743, "aux.loss_seg": 0.072, "aux.acc_seg": 74.10283, "loss": 0.20958, "time": 0.30155} +{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14198, "decode.acc_seg": 76.57996, "aux.loss_seg": 0.07574, "aux.acc_seg": 75.27522, "loss": 0.21772, "time": 0.2995} +{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14816, "decode.acc_seg": 75.20226, "aux.loss_seg": 0.08092, "aux.acc_seg": 73.80169, "loss": 0.22908, "time": 0.30279} +{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 36160, "data_time": 0.18107, "decode.loss_seg": 0.14217, "decode.acc_seg": 74.37332, "aux.loss_seg": 0.07543, "aux.acc_seg": 73.08741, "loss": 0.21761, "time": 0.47672} +{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.14121, "decode.acc_seg": 74.92813, "aux.loss_seg": 0.0758, "aux.acc_seg": 73.69649, "loss": 0.21701, "time": 0.30008} +{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.14341, "decode.acc_seg": 76.05347, "aux.loss_seg": 0.07627, "aux.acc_seg": 74.75255, "loss": 0.21968, "time": 0.30001} +{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.13515, "decode.acc_seg": 75.26087, "aux.loss_seg": 0.07177, "aux.acc_seg": 74.08016, "loss": 0.20692, "time": 0.30034} +{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.13975, "decode.acc_seg": 75.47294, "aux.loss_seg": 0.07537, "aux.acc_seg": 74.07523, "loss": 0.21512, "time": 0.30026} +{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.14796, "decode.acc_seg": 76.89631, "aux.loss_seg": 0.07996, "aux.acc_seg": 75.41653, "loss": 0.22792, "time": 0.29993} +{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.13692, "decode.acc_seg": 76.14966, "aux.loss_seg": 0.07281, "aux.acc_seg": 74.87256, "loss": 0.20974, "time": 0.30103} +{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14114, "decode.acc_seg": 75.40439, "aux.loss_seg": 0.07497, "aux.acc_seg": 74.20229, "loss": 0.21611, "time": 0.30254} +{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14307, "decode.acc_seg": 76.12323, "aux.loss_seg": 0.07638, "aux.acc_seg": 74.71516, "loss": 0.21945, "time": 0.30256} +{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14067, "decode.acc_seg": 75.72022, "aux.loss_seg": 0.07593, "aux.acc_seg": 74.35062, "loss": 0.21661, "time": 0.30144} +{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.14512, "decode.acc_seg": 76.61333, "aux.loss_seg": 0.07738, "aux.acc_seg": 75.29689, "loss": 0.2225, "time": 0.30072} +{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.14843, "decode.acc_seg": 74.76142, "aux.loss_seg": 0.0795, "aux.acc_seg": 73.35877, "loss": 0.22793, "time": 0.30057} +{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.14418, "decode.acc_seg": 75.82372, "aux.loss_seg": 0.07767, "aux.acc_seg": 74.42926, "loss": 0.22186, "time": 0.30391} +{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14442, "decode.acc_seg": 76.52263, "aux.loss_seg": 0.07745, "aux.acc_seg": 75.08953, "loss": 0.22187, "time": 0.30323} +{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.14699, "decode.acc_seg": 75.7093, "aux.loss_seg": 0.07826, "aux.acc_seg": 74.37545, "loss": 0.22525, "time": 0.3039} +{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.1467, "decode.acc_seg": 74.74812, "aux.loss_seg": 0.07727, "aux.acc_seg": 73.44285, "loss": 0.22397, "time": 0.30373} +{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.13834, "decode.acc_seg": 75.48881, "aux.loss_seg": 0.0735, "aux.acc_seg": 74.20264, "loss": 0.21184, "time": 0.30233} +{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.14215, "decode.acc_seg": 76.42703, "aux.loss_seg": 0.0754, "aux.acc_seg": 75.10518, "loss": 0.21755, "time": 0.30257} +{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.13651, "decode.acc_seg": 75.50626, "aux.loss_seg": 0.07216, "aux.acc_seg": 74.23072, "loss": 0.20867, "time": 0.30172} +{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.14749, "decode.acc_seg": 75.78973, "aux.loss_seg": 0.07851, "aux.acc_seg": 74.50442, "loss": 0.226, "time": 0.30169} +{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14049, "decode.acc_seg": 75.53376, "aux.loss_seg": 0.0749, "aux.acc_seg": 74.11545, "loss": 0.21539, "time": 0.30136} +{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.14759, "decode.acc_seg": 76.2261, "aux.loss_seg": 0.07922, "aux.acc_seg": 74.8924, "loss": 0.22681, "time": 0.30175} +{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.14117, "decode.acc_seg": 74.97964, "aux.loss_seg": 0.07575, "aux.acc_seg": 73.66067, "loss": 0.21692, "time": 0.30329} +{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14087, "decode.acc_seg": 75.97816, "aux.loss_seg": 0.07552, "aux.acc_seg": 74.65905, "loss": 0.21639, "time": 0.30289} +{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.1424, "decode.acc_seg": 76.57938, "aux.loss_seg": 0.07569, "aux.acc_seg": 75.25566, "loss": 0.2181, "time": 0.30358} +{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 36160, "data_time": 0.18058, "decode.loss_seg": 0.14525, "decode.acc_seg": 77.52215, "aux.loss_seg": 0.07822, "aux.acc_seg": 76.10435, "loss": 0.22346, "time": 0.47716} +{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.14373, "decode.acc_seg": 76.40239, "aux.loss_seg": 0.07725, "aux.acc_seg": 74.99914, "loss": 0.22098, "time": 0.29863} +{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.13416, "decode.acc_seg": 76.33756, "aux.loss_seg": 0.07092, "aux.acc_seg": 75.13003, "loss": 0.20508, "time": 0.29838} +{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.14212, "decode.acc_seg": 75.80892, "aux.loss_seg": 0.07634, "aux.acc_seg": 74.46773, "loss": 0.21845, "time": 0.29913} +{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.1415, "decode.acc_seg": 77.49377, "aux.loss_seg": 0.07558, "aux.acc_seg": 76.18318, "loss": 0.21708, "time": 0.29919} +{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.14119, "decode.acc_seg": 75.0708, "aux.loss_seg": 0.07631, "aux.acc_seg": 73.69514, "loss": 0.2175, "time": 0.29956} +{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.13739, "decode.acc_seg": 75.30644, "aux.loss_seg": 0.07317, "aux.acc_seg": 73.99289, "loss": 0.21056, "time": 0.29879} +{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.13924, "decode.acc_seg": 76.21469, "aux.loss_seg": 0.07455, "aux.acc_seg": 74.92625, "loss": 0.2138, "time": 0.30191} +{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.14571, "decode.acc_seg": 76.66214, "aux.loss_seg": 0.07655, "aux.acc_seg": 75.46852, "loss": 0.22226, "time": 0.30137} +{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14305, "decode.acc_seg": 76.77173, "aux.loss_seg": 0.07602, "aux.acc_seg": 75.39855, "loss": 0.21907, "time": 0.29999} +{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.14569, "decode.acc_seg": 74.91933, "aux.loss_seg": 0.0774, "aux.acc_seg": 73.57618, "loss": 0.2231, "time": 0.30185} +{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.43443, "aux.loss_seg": 0.07636, "aux.acc_seg": 73.99416, "loss": 0.22008, "time": 0.30124} +{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.14663, "decode.acc_seg": 76.17377, "aux.loss_seg": 0.07765, "aux.acc_seg": 74.84534, "loss": 0.22428, "time": 0.30031} +{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.14273, "decode.acc_seg": 75.83457, "aux.loss_seg": 0.07643, "aux.acc_seg": 74.48695, "loss": 0.21916, "time": 0.30149} +{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.14535, "decode.acc_seg": 75.55409, "aux.loss_seg": 0.0788, "aux.acc_seg": 74.16094, "loss": 0.22415, "time": 0.30234} +{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.13987, "decode.acc_seg": 74.96822, "aux.loss_seg": 0.0735, "aux.acc_seg": 73.68233, "loss": 0.21337, "time": 0.30063} +{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.14255, "decode.acc_seg": 75.67232, "aux.loss_seg": 0.07652, "aux.acc_seg": 74.33508, "loss": 0.21907, "time": 0.29968} +{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.1368, "decode.acc_seg": 75.47301, "aux.loss_seg": 0.07265, "aux.acc_seg": 74.26608, "loss": 0.20945, "time": 0.30205} +{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.14914, "decode.acc_seg": 76.93285, "aux.loss_seg": 0.07857, "aux.acc_seg": 75.63912, "loss": 0.22771, "time": 0.30124} +{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.14822, "decode.acc_seg": 76.57947, "aux.loss_seg": 0.07951, "aux.acc_seg": 75.17514, "loss": 0.22773, "time": 0.30116} +{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.1399, "decode.acc_seg": 76.23201, "aux.loss_seg": 0.07467, "aux.acc_seg": 74.93236, "loss": 0.21458, "time": 0.30269} +{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.13965, "decode.acc_seg": 74.87111, "aux.loss_seg": 0.07454, "aux.acc_seg": 73.61077, "loss": 0.21419, "time": 0.30245} +{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14374, "decode.acc_seg": 75.03543, "aux.loss_seg": 0.07682, "aux.acc_seg": 73.73032, "loss": 0.22056, "time": 0.30134} +{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.14142, "decode.acc_seg": 75.75132, "aux.loss_seg": 0.07539, "aux.acc_seg": 74.37804, "loss": 0.2168, "time": 0.30073} +{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.14349, "decode.acc_seg": 75.33929, "aux.loss_seg": 0.07783, "aux.acc_seg": 73.93891, "loss": 0.22132, "time": 0.30071} +{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 36160, "data_time": 0.17733, "decode.loss_seg": 0.14196, "decode.acc_seg": 75.63692, "aux.loss_seg": 0.07589, "aux.acc_seg": 74.36655, "loss": 0.21785, "time": 0.47308} +{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15367, "decode.acc_seg": 76.58666, "aux.loss_seg": 0.08418, "aux.acc_seg": 75.04081, "loss": 0.23784, "time": 0.3007} +{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14156, "decode.acc_seg": 76.6757, "aux.loss_seg": 0.07448, "aux.acc_seg": 75.4346, "loss": 0.21604, "time": 0.30018} +{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.13258, "decode.acc_seg": 75.27676, "aux.loss_seg": 0.07083, "aux.acc_seg": 74.00416, "loss": 0.2034, "time": 0.30046} +{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.14728, "decode.acc_seg": 75.52851, "aux.loss_seg": 0.07808, "aux.acc_seg": 74.21062, "loss": 0.22536, "time": 0.29993} +{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.14292, "decode.acc_seg": 76.4086, "aux.loss_seg": 0.0768, "aux.acc_seg": 74.99904, "loss": 0.21972, "time": 0.29976} +{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14227, "decode.acc_seg": 76.11059, "aux.loss_seg": 0.07633, "aux.acc_seg": 74.71117, "loss": 0.21861, "time": 0.29931} +{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.14055, "decode.acc_seg": 75.67452, "aux.loss_seg": 0.07454, "aux.acc_seg": 74.3958, "loss": 0.21509, "time": 0.30103} +{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.14665, "decode.acc_seg": 75.4189, "aux.loss_seg": 0.07885, "aux.acc_seg": 73.93791, "loss": 0.2255, "time": 0.30399} +{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.14838, "decode.acc_seg": 76.73599, "aux.loss_seg": 0.07914, "aux.acc_seg": 75.36919, "loss": 0.22752, "time": 0.30286} +{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.14192, "decode.acc_seg": 75.00567, "aux.loss_seg": 0.07669, "aux.acc_seg": 73.61413, "loss": 0.21861, "time": 0.30261} +{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.144, "decode.acc_seg": 75.54248, "aux.loss_seg": 0.07713, "aux.acc_seg": 74.21725, "loss": 0.22113, "time": 0.30157} +{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.13548, "decode.acc_seg": 75.35434, "aux.loss_seg": 0.07332, "aux.acc_seg": 74.06767, "loss": 0.2088, "time": 0.3018} +{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.14256, "decode.acc_seg": 75.9184, "aux.loss_seg": 0.07523, "aux.acc_seg": 74.59808, "loss": 0.21779, "time": 0.30126} +{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.14311, "decode.acc_seg": 75.10736, "aux.loss_seg": 0.07582, "aux.acc_seg": 73.85607, "loss": 0.21893, "time": 0.30214} +{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.14325, "decode.acc_seg": 74.58977, "aux.loss_seg": 0.07723, "aux.acc_seg": 73.20533, "loss": 0.22048, "time": 0.30397} +{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 36160, "data_time": 0.00646, "decode.loss_seg": 0.13663, "decode.acc_seg": 75.15311, "aux.loss_seg": 0.07188, "aux.acc_seg": 73.98365, "loss": 0.20851, "time": 0.3035} +{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.14171, "decode.acc_seg": 76.26168, "aux.loss_seg": 0.07587, "aux.acc_seg": 74.89224, "loss": 0.21758, "time": 0.30359} +{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.143, "decode.acc_seg": 76.97635, "aux.loss_seg": 0.07596, "aux.acc_seg": 75.70744, "loss": 0.21897, "time": 0.30169} +{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.14049, "decode.acc_seg": 77.20522, "aux.loss_seg": 0.07514, "aux.acc_seg": 75.87249, "loss": 0.21563, "time": 0.30236} +{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.23857, "aux.loss_seg": 0.075, "aux.acc_seg": 74.0725, "loss": 0.21922, "time": 0.30191} +{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.14678, "decode.acc_seg": 75.86857, "aux.loss_seg": 0.07757, "aux.acc_seg": 74.59351, "loss": 0.22435, "time": 0.30181} +{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.14389, "decode.acc_seg": 75.7277, "aux.loss_seg": 0.07583, "aux.acc_seg": 74.46808, "loss": 0.21972, "time": 0.30296} +{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15204, "decode.acc_seg": 73.88101, "aux.loss_seg": 0.08061, "aux.acc_seg": 72.55624, "loss": 0.23265, "time": 0.30283} +{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.14154, "decode.acc_seg": 76.62152, "aux.loss_seg": 0.07614, "aux.acc_seg": 75.23257, "loss": 0.21768, "time": 0.30209} +{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.1445, "decode.acc_seg": 76.69028, "aux.loss_seg": 0.07831, "aux.acc_seg": 75.20809, "loss": 0.22282, "time": 0.30335} +{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 36160, "data_time": 0.16545, "decode.loss_seg": 0.14224, "decode.acc_seg": 75.26019, "aux.loss_seg": 0.07542, "aux.acc_seg": 73.93387, "loss": 0.21766, "time": 0.46174} +{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14276, "decode.acc_seg": 75.80604, "aux.loss_seg": 0.07718, "aux.acc_seg": 74.36664, "loss": 0.21994, "time": 0.30012} +{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14115, "decode.acc_seg": 75.46987, "aux.loss_seg": 0.07591, "aux.acc_seg": 74.16506, "loss": 0.21706, "time": 0.30013} +{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14797, "decode.acc_seg": 74.82717, "aux.loss_seg": 0.07809, "aux.acc_seg": 73.54011, "loss": 0.22606, "time": 0.29884} +{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.14203, "decode.acc_seg": 76.11412, "aux.loss_seg": 0.07552, "aux.acc_seg": 74.81232, "loss": 0.21756, "time": 0.29926} +{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.15074, "decode.acc_seg": 75.7949, "aux.loss_seg": 0.08045, "aux.acc_seg": 74.42521, "loss": 0.23119, "time": 0.30233} +{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.13948, "decode.acc_seg": 75.63142, "aux.loss_seg": 0.07498, "aux.acc_seg": 74.25431, "loss": 0.21446, "time": 0.3027} +{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14031, "decode.acc_seg": 74.35934, "aux.loss_seg": 0.07477, "aux.acc_seg": 73.04938, "loss": 0.21508, "time": 0.30397} +{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.13558, "decode.acc_seg": 75.57919, "aux.loss_seg": 0.07263, "aux.acc_seg": 74.25776, "loss": 0.20821, "time": 0.30154} +{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.14341, "decode.acc_seg": 75.77553, "aux.loss_seg": 0.07609, "aux.acc_seg": 74.45076, "loss": 0.21949, "time": 0.30237} +{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.13955, "decode.acc_seg": 75.46894, "aux.loss_seg": 0.07412, "aux.acc_seg": 74.1683, "loss": 0.21367, "time": 0.30249} +{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14096, "decode.acc_seg": 75.97155, "aux.loss_seg": 0.07445, "aux.acc_seg": 74.68827, "loss": 0.21541, "time": 0.30354} +{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14806, "decode.acc_seg": 75.51367, "aux.loss_seg": 0.07924, "aux.acc_seg": 74.13478, "loss": 0.22731, "time": 0.30046} +{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14406, "decode.acc_seg": 76.02139, "aux.loss_seg": 0.07717, "aux.acc_seg": 74.61316, "loss": 0.22124, "time": 0.30245} +{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.14447, "decode.acc_seg": 75.31088, "aux.loss_seg": 0.07796, "aux.acc_seg": 73.83451, "loss": 0.22243, "time": 0.30086} +{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.13416, "decode.acc_seg": 76.44785, "aux.loss_seg": 0.071, "aux.acc_seg": 75.22153, "loss": 0.20516, "time": 0.30206} +{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.14021, "decode.acc_seg": 75.59323, "aux.loss_seg": 0.0747, "aux.acc_seg": 74.27968, "loss": 0.21491, "time": 0.30245} +{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.14752, "decode.acc_seg": 75.67659, "aux.loss_seg": 0.08015, "aux.acc_seg": 74.15511, "loss": 0.22767, "time": 0.30234} +{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.13964, "decode.acc_seg": 75.50895, "aux.loss_seg": 0.0749, "aux.acc_seg": 74.17042, "loss": 0.21454, "time": 0.30194} +{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14497, "decode.acc_seg": 76.0788, "aux.loss_seg": 0.07801, "aux.acc_seg": 74.62542, "loss": 0.22298, "time": 0.30179} +{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.13953, "decode.acc_seg": 76.5515, "aux.loss_seg": 0.075, "aux.acc_seg": 75.1771, "loss": 0.21454, "time": 0.30215} +{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.13989, "decode.acc_seg": 76.51724, "aux.loss_seg": 0.07452, "aux.acc_seg": 75.2423, "loss": 0.21442, "time": 0.30136} +{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.13927, "decode.acc_seg": 75.57903, "aux.loss_seg": 0.07549, "aux.acc_seg": 74.21574, "loss": 0.21476, "time": 0.3029} +{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14124, "decode.acc_seg": 76.9043, "aux.loss_seg": 0.07483, "aux.acc_seg": 75.67475, "loss": 0.21608, "time": 0.30358} +{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.13755, "decode.acc_seg": 76.98586, "aux.loss_seg": 0.07499, "aux.acc_seg": 75.55426, "loss": 0.21254, "time": 0.30382} +{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 36160, "data_time": 0.18264, "decode.loss_seg": 0.13989, "decode.acc_seg": 75.54184, "aux.loss_seg": 0.07409, "aux.acc_seg": 74.29856, "loss": 0.21398, "time": 0.47922} +{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14356, "decode.acc_seg": 74.86127, "aux.loss_seg": 0.07673, "aux.acc_seg": 73.53613, "loss": 0.22029, "time": 0.2999} +{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.13781, "decode.acc_seg": 75.71687, "aux.loss_seg": 0.07444, "aux.acc_seg": 74.32868, "loss": 0.21225, "time": 0.29885} +{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.15, "decode.acc_seg": 77.04901, "aux.loss_seg": 0.08204, "aux.acc_seg": 75.57477, "loss": 0.23204, "time": 0.29855} +{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.13948, "decode.acc_seg": 76.23968, "aux.loss_seg": 0.07339, "aux.acc_seg": 75.01568, "loss": 0.21287, "time": 0.3002} +{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14657, "decode.acc_seg": 74.00311, "aux.loss_seg": 0.07815, "aux.acc_seg": 72.69345, "loss": 0.22472, "time": 0.30026} +{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14126, "decode.acc_seg": 75.67277, "aux.loss_seg": 0.07619, "aux.acc_seg": 74.25237, "loss": 0.21744, "time": 0.30131} +{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.1405, "decode.acc_seg": 74.28511, "aux.loss_seg": 0.07572, "aux.acc_seg": 72.88447, "loss": 0.21622, "time": 0.30163} +{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.13816, "decode.acc_seg": 75.77603, "aux.loss_seg": 0.07327, "aux.acc_seg": 74.49304, "loss": 0.21143, "time": 0.30143} +{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14224, "decode.acc_seg": 76.27772, "aux.loss_seg": 0.07555, "aux.acc_seg": 74.96064, "loss": 0.21779, "time": 0.30038} +{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.15075, "decode.acc_seg": 77.07215, "aux.loss_seg": 0.08008, "aux.acc_seg": 75.74818, "loss": 0.23083, "time": 0.30085} +{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.15174, "decode.acc_seg": 76.81307, "aux.loss_seg": 0.08185, "aux.acc_seg": 75.30255, "loss": 0.23359, "time": 0.30237} +{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.14416, "decode.acc_seg": 76.6653, "aux.loss_seg": 0.07593, "aux.acc_seg": 75.38547, "loss": 0.2201, "time": 0.30022} +{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.14076, "decode.acc_seg": 75.12555, "aux.loss_seg": 0.07408, "aux.acc_seg": 73.84027, "loss": 0.21484, "time": 0.30064} +{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14853, "decode.acc_seg": 75.05484, "aux.loss_seg": 0.08006, "aux.acc_seg": 73.5783, "loss": 0.22859, "time": 0.30132} +{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.14319, "decode.acc_seg": 75.92759, "aux.loss_seg": 0.07679, "aux.acc_seg": 74.61414, "loss": 0.21998, "time": 0.29961} +{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.13717, "decode.acc_seg": 74.51994, "aux.loss_seg": 0.0745, "aux.acc_seg": 73.14619, "loss": 0.21167, "time": 0.30264} +{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.1418, "decode.acc_seg": 75.46819, "aux.loss_seg": 0.07582, "aux.acc_seg": 74.14338, "loss": 0.21761, "time": 0.30186} +{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.13857, "decode.acc_seg": 75.86988, "aux.loss_seg": 0.07483, "aux.acc_seg": 74.44395, "loss": 0.2134, "time": 0.30272} +{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.14479, "decode.acc_seg": 76.46845, "aux.loss_seg": 0.07698, "aux.acc_seg": 75.07956, "loss": 0.22177, "time": 0.30056} +{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14657, "decode.acc_seg": 75.67276, "aux.loss_seg": 0.07764, "aux.acc_seg": 74.3641, "loss": 0.22421, "time": 0.29981} +{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.14317, "decode.acc_seg": 76.84774, "aux.loss_seg": 0.07656, "aux.acc_seg": 75.57346, "loss": 0.21973, "time": 0.29989} +{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.13328, "decode.acc_seg": 75.68908, "aux.loss_seg": 0.07138, "aux.acc_seg": 74.42079, "loss": 0.20466, "time": 0.30138} +{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.15284, "decode.acc_seg": 76.70131, "aux.loss_seg": 0.08003, "aux.acc_seg": 75.37894, "loss": 0.23287, "time": 0.29989} +{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.13803, "decode.acc_seg": 75.02622, "aux.loss_seg": 0.07265, "aux.acc_seg": 73.73416, "loss": 0.21068, "time": 0.30124} +{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 36160, "data_time": 0.17698, "decode.loss_seg": 0.13487, "decode.acc_seg": 74.90143, "aux.loss_seg": 0.07221, "aux.acc_seg": 73.65456, "loss": 0.20708, "time": 0.47106} +{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.13916, "decode.acc_seg": 75.10113, "aux.loss_seg": 0.07408, "aux.acc_seg": 73.78091, "loss": 0.21324, "time": 0.30006} +{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.14271, "decode.acc_seg": 77.1414, "aux.loss_seg": 0.07618, "aux.acc_seg": 75.77015, "loss": 0.21889, "time": 0.3003} +{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15069, "decode.acc_seg": 76.65526, "aux.loss_seg": 0.08115, "aux.acc_seg": 75.16945, "loss": 0.23185, "time": 0.3015} +{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14346, "decode.acc_seg": 76.37084, "aux.loss_seg": 0.07668, "aux.acc_seg": 74.99617, "loss": 0.22013, "time": 0.30111} +{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.1431, "decode.acc_seg": 76.1596, "aux.loss_seg": 0.07679, "aux.acc_seg": 74.73257, "loss": 0.21989, "time": 0.30083} +{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.14484, "decode.acc_seg": 76.67552, "aux.loss_seg": 0.078, "aux.acc_seg": 75.28393, "loss": 0.22284, "time": 0.30151} +{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.1392, "decode.acc_seg": 75.57128, "aux.loss_seg": 0.07421, "aux.acc_seg": 74.19146, "loss": 0.21341, "time": 0.30269} +{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.14404, "decode.acc_seg": 76.61165, "aux.loss_seg": 0.07669, "aux.acc_seg": 75.2846, "loss": 0.22072, "time": 0.30418} +{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.13707, "decode.acc_seg": 78.34678, "aux.loss_seg": 0.07315, "aux.acc_seg": 77.06502, "loss": 0.21022, "time": 0.30316} +{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.14991, "decode.acc_seg": 74.42368, "aux.loss_seg": 0.07855, "aux.acc_seg": 73.14557, "loss": 0.22845, "time": 0.30217} +{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.13887, "decode.acc_seg": 75.1674, "aux.loss_seg": 0.07416, "aux.acc_seg": 73.82194, "loss": 0.21303, "time": 0.30115} +{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.136, "decode.acc_seg": 74.91597, "aux.loss_seg": 0.07265, "aux.acc_seg": 73.70888, "loss": 0.20864, "time": 0.30134} +{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14829, "decode.acc_seg": 76.39656, "aux.loss_seg": 0.07797, "aux.acc_seg": 75.14761, "loss": 0.22626, "time": 0.30074} +{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14049, "decode.acc_seg": 74.81638, "aux.loss_seg": 0.0757, "aux.acc_seg": 73.43894, "loss": 0.21619, "time": 0.30163} +{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.14523, "decode.acc_seg": 77.07541, "aux.loss_seg": 0.07764, "aux.acc_seg": 75.83131, "loss": 0.22287, "time": 0.30074} +{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.13977, "decode.acc_seg": 75.1639, "aux.loss_seg": 0.0739, "aux.acc_seg": 73.92277, "loss": 0.21368, "time": 0.30047} +{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4877, "mAcc": 0.6037, "aAcc": 0.8283, "IoU.wall": 0.769, "IoU.building": 0.8221, "IoU.sky": 0.9366, "IoU.floor": 0.8128, "IoU.tree": 0.7369, "IoU.ceiling": 0.8411, "IoU.road": 0.8285, "IoU.bed ": 0.8743, "IoU.windowpane": 0.5946, "IoU.grass": 0.6753, "IoU.cabinet": 0.6168, "IoU.sidewalk": 0.6578, "IoU.person": 0.7858, "IoU.earth": 0.3976, "IoU.door": 0.464, "IoU.table": 0.5885, "IoU.mountain": 0.5855, "IoU.plant": 0.5229, "IoU.curtain": 0.7141, "IoU.chair": 0.5643, "IoU.car": 0.8334, "IoU.water": 0.5342, "IoU.painting": 0.7479, "IoU.sofa": 0.6278, "IoU.shelf": 0.4229, "IoU.house": 0.4827, "IoU.sea": 0.5401, "IoU.mirror": 0.6324, "IoU.rug": 0.6193, "IoU.field": 0.3076, "IoU.armchair": 0.4263, "IoU.seat": 0.6113, "IoU.fence": 0.4113, "IoU.desk": 0.5031, "IoU.rock": 0.4249, "IoU.wardrobe": 0.488, "IoU.lamp": 0.6104, "IoU.bathtub": 0.7499, "IoU.railing": 0.3505, "IoU.cushion": 0.5765, "IoU.base": 0.2903, "IoU.box": 0.2623, "IoU.column": 0.4433, "IoU.signboard": 0.3666, "IoU.chest of drawers": 0.3916, "IoU.counter": 0.3024, "IoU.sand": 0.5175, "IoU.sink": 0.6896, "IoU.skyscraper": 0.6909, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7807, "IoU.grandstand": 0.387, "IoU.path": 0.2658, "IoU.stairs": 0.2906, "IoU.runway": 0.7066, "IoU.case": 0.4148, "IoU.pool table": 0.9194, "IoU.pillow": 0.5501, "IoU.screen door": 0.6131, "IoU.stairway": 0.3041, "IoU.river": 0.1152, "IoU.bridge": 0.7276, "IoU.bookcase": 0.4061, "IoU.blind": NaN, "IoU.coffee table": 0.5188, "IoU.toilet": 0.8248, "IoU.flower": 0.456, "IoU.book": 0.4294, "IoU.hill": 0.1331, "IoU.bench": 0.4509, "IoU.countertop": 0.5583, "IoU.stove": 0.7507, "IoU.palm": 0.5028, "IoU.kitchen island": 0.398, "IoU.computer": 0.6778, "IoU.swivel chair": 0.4416, "IoU.boat": 0.5751, "IoU.bar": 0.3185, "IoU.arcade machine": 0.4698, "IoU.hovel": 0.3417, "IoU.bus": 0.8533, "IoU.towel": 0.6498, "IoU.light": 0.5516, "IoU.truck": 0.2292, "IoU.tower": 0.0433, "IoU.chandelier": 0.6372, "IoU.awning": 0.2955, "IoU.streetlight": 0.2304, "IoU.booth": 0.6227, "IoU.television receiver": NaN, "IoU.airplane": 0.609, "IoU.dirt track": 0.0058, "IoU.apparel": 0.3179, "IoU.pole": 0.184, "IoU.land": 0.0373, "IoU.bannister": 0.0867, "IoU.escalator": 0.3234, "IoU.ottoman": 0.4001, "IoU.bottle": NaN, "IoU.buffet": 0.4467, "IoU.poster": 0.3262, "IoU.stage": 0.1968, "IoU.van": 0.3815, "IoU.ship": 0.7107, "IoU.fountain": 0.2119, "IoU.conveyer belt": 0.8471, "IoU.canopy": 0.2246, "IoU.washer": 0.7217, "IoU.plaything": 0.1861, "IoU.swimming pool": 0.7022, "IoU.stool": 0.3699, "IoU.barrel": 0.4944, "IoU.basket": 0.3548, "IoU.waterfall": 0.5048, "IoU.tent": 0.9358, "IoU.bag": 0.1107, "IoU.minibike": 0.7383, "IoU.cradle": NaN, "IoU.oven": 0.4081, "IoU.ball": 0.4461, "IoU.food": 0.3394, "IoU.step": 0.1239, "IoU.tank": 0.5106, "IoU.trade name": 0.2868, "IoU.microwave": 0.7521, "IoU.pot": 0.5444, "IoU.animal": NaN, "IoU.bicycle": 0.5486, "IoU.lake": 0.4954, "IoU.dishwasher": 0.6271, "IoU.screen": 0.6496, "IoU.blanket": 0.1503, "IoU.sculpture": 0.6613, "IoU.hood": 0.594, "IoU.sconce": 0.444, "IoU.vase": 0.3765, "IoU.traffic light": 0.2934, "IoU.tray": 0.087, "IoU.ashcan": 0.3874, "IoU.fan": 0.6413, "IoU.pier": 0.4004, "IoU.crt screen": 0.0856, "IoU.plate": 0.5586, "IoU.monitor": 0.1277, "IoU.bulletin board": 0.4722, "IoU.shower": 0.0281, "IoU.radiator": 0.6492, "IoU.glass": 0.1573, "IoU.clock": 0.4147, "IoU.flag": 0.4535, "Acc.wall": 0.8816, "Acc.building": 0.9274, "Acc.sky": 0.9725, "Acc.floor": 0.9033, "Acc.tree": 0.8715, "Acc.ceiling": 0.9256, "Acc.road": 0.9033, "Acc.bed ": 0.9458, "Acc.windowpane": 0.7837, "Acc.grass": 0.8475, "Acc.cabinet": 0.746, "Acc.sidewalk": 0.8177, "Acc.person": 0.913, "Acc.earth": 0.5169, "Acc.door": 0.5987, "Acc.table": 0.7576, "Acc.mountain": 0.732, "Acc.plant": 0.619, "Acc.curtain": 0.8296, "Acc.chair": 0.7118, "Acc.car": 0.9124, "Acc.water": 0.6923, "Acc.painting": 0.8683, "Acc.sofa": 0.7934, "Acc.shelf": 0.5957, "Acc.house": 0.6, "Acc.sea": 0.7368, "Acc.mirror": 0.7123, "Acc.rug": 0.7248, "Acc.field": 0.4628, "Acc.armchair": 0.5982, "Acc.seat": 0.8069, "Acc.fence": 0.5477, "Acc.desk": 0.6551, "Acc.rock": 0.6798, "Acc.wardrobe": 0.6288, "Acc.lamp": 0.7401, "Acc.bathtub": 0.824, "Acc.railing": 0.4714, "Acc.cushion": 0.7323, "Acc.base": 0.3765, "Acc.box": 0.34, "Acc.column": 0.5328, "Acc.signboard": 0.5136, "Acc.chest of drawers": 0.5306, "Acc.counter": 0.3862, "Acc.sand": 0.7683, "Acc.sink": 0.7981, "Acc.skyscraper": 0.8533, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8593, "Acc.grandstand": 0.6861, "Acc.path": 0.3527, "Acc.stairs": 0.3472, "Acc.runway": 0.9255, "Acc.case": 0.528, "Acc.pool table": 0.9616, "Acc.pillow": 0.6417, "Acc.screen door": 0.7253, "Acc.stairway": 0.406, "Acc.river": 0.2674, "Acc.bridge": 0.8132, "Acc.bookcase": 0.4874, "Acc.blind": NaN, "Acc.coffee table": 0.7922, "Acc.toilet": 0.8877, "Acc.flower": 0.6023, "Acc.book": 0.6573, "Acc.hill": 0.189, "Acc.bench": 0.5187, "Acc.countertop": 0.7147, "Acc.stove": 0.8214, "Acc.palm": 0.7576, "Acc.kitchen island": 0.7049, "Acc.computer": 0.7889, "Acc.swivel chair": 0.5858, "Acc.boat": 0.7098, "Acc.bar": 0.4142, "Acc.arcade machine": 0.508, "Acc.hovel": 0.3632, "Acc.bus": 0.956, "Acc.towel": 0.7972, "Acc.light": 0.6539, "Acc.truck": 0.3268, "Acc.tower": 0.0763, "Acc.chandelier": 0.8025, "Acc.awning": 0.3417, "Acc.streetlight": 0.302, "Acc.booth": 0.7178, "Acc.television receiver": NaN, "Acc.airplane": 0.7403, "Acc.dirt track": 0.008, "Acc.apparel": 0.4614, "Acc.pole": 0.2714, "Acc.land": 0.0501, "Acc.bannister": 0.1091, "Acc.escalator": 0.346, "Acc.ottoman": 0.5963, "Acc.bottle": NaN, "Acc.buffet": 0.517, "Acc.poster": 0.4589, "Acc.stage": 0.2741, "Acc.van": 0.5346, "Acc.ship": 0.9465, "Acc.fountain": 0.2172, "Acc.conveyer belt": 0.9065, "Acc.canopy": 0.34, "Acc.washer": 0.7503, "Acc.plaything": 0.3163, "Acc.swimming pool": 0.7869, "Acc.stool": 0.5277, "Acc.barrel": 0.7223, "Acc.basket": 0.4525, "Acc.waterfall": 0.6768, "Acc.tent": 0.9803, "Acc.bag": 0.1337, "Acc.minibike": 0.8785, "Acc.cradle": NaN, "Acc.oven": 0.6473, "Acc.ball": 0.505, "Acc.food": 0.398, "Acc.step": 0.1481, "Acc.tank": 0.5911, "Acc.trade name": 0.3467, "Acc.microwave": 0.84, "Acc.pot": 0.6046, "Acc.animal": NaN, "Acc.bicycle": 0.7634, "Acc.lake": 0.5668, "Acc.dishwasher": 0.7257, "Acc.screen": 0.7435, "Acc.blanket": 0.1751, "Acc.sculpture": 0.8179, "Acc.hood": 0.6526, "Acc.sconce": 0.5578, "Acc.vase": 0.5612, "Acc.traffic light": 0.4071, "Acc.tray": 0.1838, "Acc.ashcan": 0.4967, "Acc.fan": 0.7723, "Acc.pier": 0.6508, "Acc.crt screen": 0.2656, "Acc.plate": 0.7337, "Acc.monitor": 0.1456, "Acc.bulletin board": 0.5644, "Acc.shower": 0.0444, "Acc.radiator": 0.7361, "Acc.glass": 0.1743, "Acc.clock": 0.5392, "Acc.flag": 0.4954} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt new file mode 100644 index 000000000..26336dd2f --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt @@ -0,0 +1,3201 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.1\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+5ac19cb", "seed": null, "exp_name": "upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 12989, "data_time": 0.00696, "decode.loss_seg": 4.08857, "decode.acc_seg": 0.4376, "aux.loss_seg": 1.63046, "aux.acc_seg": 1.14162, "loss": 5.71903, "time": 0.5144} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 12989, "data_time": 0.00555, "decode.loss_seg": 3.9595, "decode.acc_seg": 3.25053, "aux.loss_seg": 1.59991, "aux.acc_seg": 1.48401, "loss": 5.55941, "time": 0.42354} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 12989, "data_time": 0.00554, "decode.loss_seg": 3.85802, "decode.acc_seg": 20.23953, "aux.loss_seg": 1.61093, "aux.acc_seg": 2.60793, "loss": 5.46895, "time": 0.43776} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 3.52762, "decode.acc_seg": 31.49107, "aux.loss_seg": 1.57492, "aux.acc_seg": 5.66297, "loss": 5.10254, "time": 0.42564} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 3.25249, "decode.acc_seg": 33.5275, "aux.loss_seg": 1.56621, "aux.acc_seg": 15.63767, "loss": 4.8187, "time": 0.41728} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 12989, "data_time": 0.00563, "decode.loss_seg": 2.98753, "decode.acc_seg": 37.89002, "aux.loss_seg": 1.53547, "aux.acc_seg": 24.55672, "loss": 4.523, "time": 0.41491} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 12989, "data_time": 0.00549, "decode.loss_seg": 2.78302, "decode.acc_seg": 38.61945, "aux.loss_seg": 1.47697, "aux.acc_seg": 28.44116, "loss": 4.26, "time": 0.41098} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 2.65954, "decode.acc_seg": 39.73117, "aux.loss_seg": 1.44724, "aux.acc_seg": 30.32517, "loss": 4.10678, "time": 0.40864} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 12989, "data_time": 0.00565, "decode.loss_seg": 2.44788, "decode.acc_seg": 40.64465, "aux.loss_seg": 1.36876, "aux.acc_seg": 30.91599, "loss": 3.81664, "time": 0.40814} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 12989, "data_time": 0.00561, "decode.loss_seg": 2.23279, "decode.acc_seg": 42.32342, "aux.loss_seg": 1.28071, "aux.acc_seg": 32.27594, "loss": 3.5135, "time": 0.40996} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 2.23154, "decode.acc_seg": 42.29113, "aux.loss_seg": 1.26324, "aux.acc_seg": 32.2508, "loss": 3.49477, "time": 0.40963} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 12989, "data_time": 0.00556, "decode.loss_seg": 2.014, "decode.acc_seg": 46.35966, "aux.loss_seg": 1.19111, "aux.acc_seg": 34.99193, "loss": 3.20511, "time": 0.41912} +{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 1.89056, "decode.acc_seg": 45.77307, "aux.loss_seg": 1.12043, "aux.acc_seg": 34.51348, "loss": 3.011, "time": 0.41022} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 12989, "data_time": 0.0061, "decode.loss_seg": 1.89167, "decode.acc_seg": 45.15402, "aux.loss_seg": 1.10514, "aux.acc_seg": 33.99268, "loss": 2.99681, "time": 0.41455} +{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 12989, "data_time": 0.00579, "decode.loss_seg": 1.74203, "decode.acc_seg": 47.17137, "aux.loss_seg": 1.04391, "aux.acc_seg": 35.54756, "loss": 2.78594, "time": 0.41485} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 1.79292, "decode.acc_seg": 46.65388, "aux.loss_seg": 1.04254, "aux.acc_seg": 36.3561, "loss": 2.83546, "time": 0.41062} +{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 1.71851, "decode.acc_seg": 47.02559, "aux.loss_seg": 0.99345, "aux.acc_seg": 37.82375, "loss": 2.71196, "time": 0.40811} +{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 12989, "data_time": 0.0057, "decode.loss_seg": 1.70084, "decode.acc_seg": 46.77554, "aux.loss_seg": 0.97889, "aux.acc_seg": 37.03094, "loss": 2.67973, "time": 0.40657} +{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 1.52627, "decode.acc_seg": 46.7406, "aux.loss_seg": 0.87948, "aux.acc_seg": 38.18323, "loss": 2.40576, "time": 0.41712} +{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 12989, "data_time": 0.00638, "decode.loss_seg": 1.57612, "decode.acc_seg": 47.83316, "aux.loss_seg": 0.8998, "aux.acc_seg": 39.25837, "loss": 2.47592, "time": 0.41713} +{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 1.57446, "decode.acc_seg": 47.81633, "aux.loss_seg": 0.88904, "aux.acc_seg": 38.69116, "loss": 2.4635, "time": 0.41586} +{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 1.5101, "decode.acc_seg": 48.04824, "aux.loss_seg": 0.84652, "aux.acc_seg": 40.07413, "loss": 2.35663, "time": 0.41119} +{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 12989, "data_time": 0.0068, "decode.loss_seg": 1.44355, "decode.acc_seg": 48.68574, "aux.loss_seg": 0.81945, "aux.acc_seg": 40.17556, "loss": 2.26299, "time": 0.41452} +{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 12989, "data_time": 0.0066, "decode.loss_seg": 1.4386, "decode.acc_seg": 49.57802, "aux.loss_seg": 0.81559, "aux.acc_seg": 40.53201, "loss": 2.25419, "time": 0.41026} +{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 1.34267, "decode.acc_seg": 49.90364, "aux.loss_seg": 0.76063, "aux.acc_seg": 41.21464, "loss": 2.10331, "time": 0.4145} +{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 12989, "data_time": 0.2435, "decode.loss_seg": 1.29607, "decode.acc_seg": 51.95837, "aux.loss_seg": 0.74646, "aux.acc_seg": 43.48589, "loss": 2.04253, "time": 0.6509} +{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 1.33951, "decode.acc_seg": 50.691, "aux.loss_seg": 0.75138, "aux.acc_seg": 41.66199, "loss": 2.09089, "time": 0.41337} +{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 12989, "data_time": 0.00638, "decode.loss_seg": 1.27892, "decode.acc_seg": 49.56479, "aux.loss_seg": 0.71601, "aux.acc_seg": 41.4545, "loss": 1.99494, "time": 0.4139} +{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 1.2812, "decode.acc_seg": 51.6823, "aux.loss_seg": 0.71887, "aux.acc_seg": 43.2735, "loss": 2.00007, "time": 0.41233} +{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 1.28812, "decode.acc_seg": 51.93735, "aux.loss_seg": 0.72593, "aux.acc_seg": 43.2595, "loss": 2.01404, "time": 0.43431} +{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 1.26995, "decode.acc_seg": 50.47388, "aux.loss_seg": 0.70382, "aux.acc_seg": 42.87479, "loss": 1.97377, "time": 0.41338} +{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 1.26851, "decode.acc_seg": 52.53618, "aux.loss_seg": 0.69437, "aux.acc_seg": 45.07974, "loss": 1.96288, "time": 0.41947} +{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 1.21542, "decode.acc_seg": 51.40573, "aux.loss_seg": 0.66886, "aux.acc_seg": 44.97797, "loss": 1.88428, "time": 0.42704} +{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 1.24933, "decode.acc_seg": 51.37799, "aux.loss_seg": 0.68353, "aux.acc_seg": 44.41346, "loss": 1.93286, "time": 0.41893} +{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 12989, "data_time": 0.00571, "decode.loss_seg": 1.20783, "decode.acc_seg": 52.43662, "aux.loss_seg": 0.66822, "aux.acc_seg": 45.03264, "loss": 1.87604, "time": 0.41722} +{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 12989, "data_time": 0.00596, "decode.loss_seg": 1.18562, "decode.acc_seg": 53.59854, "aux.loss_seg": 0.65391, "aux.acc_seg": 46.26426, "loss": 1.83953, "time": 0.4151} +{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 12989, "data_time": 0.00579, "decode.loss_seg": 1.19303, "decode.acc_seg": 52.88747, "aux.loss_seg": 0.64987, "aux.acc_seg": 46.09983, "loss": 1.84291, "time": 0.41557} +{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 1.2165, "decode.acc_seg": 52.56521, "aux.loss_seg": 0.66287, "aux.acc_seg": 45.15231, "loss": 1.87937, "time": 0.42479} +{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 1.1284, "decode.acc_seg": 51.97921, "aux.loss_seg": 0.62751, "aux.acc_seg": 45.13748, "loss": 1.7559, "time": 0.41718} +{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 12989, "data_time": 0.00612, "decode.loss_seg": 1.10271, "decode.acc_seg": 52.8988, "aux.loss_seg": 0.61294, "aux.acc_seg": 45.46351, "loss": 1.71564, "time": 0.42356} +{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 1.12502, "decode.acc_seg": 53.14259, "aux.loss_seg": 0.62489, "aux.acc_seg": 46.58249, "loss": 1.74992, "time": 0.43356} +{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 1.12565, "decode.acc_seg": 53.03705, "aux.loss_seg": 0.61699, "aux.acc_seg": 46.21781, "loss": 1.74264, "time": 0.42383} +{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 1.1198, "decode.acc_seg": 52.06059, "aux.loss_seg": 0.61663, "aux.acc_seg": 45.38949, "loss": 1.73643, "time": 0.4148} +{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 12989, "data_time": 0.00568, "decode.loss_seg": 1.08232, "decode.acc_seg": 54.44013, "aux.loss_seg": 0.60303, "aux.acc_seg": 47.76323, "loss": 1.68535, "time": 0.41612} +{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 12989, "data_time": 0.00582, "decode.loss_seg": 1.01675, "decode.acc_seg": 54.73436, "aux.loss_seg": 0.57891, "aux.acc_seg": 47.36052, "loss": 1.59566, "time": 0.41185} +{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 1.00279, "decode.acc_seg": 54.61122, "aux.loss_seg": 0.55915, "aux.acc_seg": 48.16999, "loss": 1.56195, "time": 0.4108} +{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 12989, "data_time": 0.00578, "decode.loss_seg": 1.05837, "decode.acc_seg": 53.61296, "aux.loss_seg": 0.58788, "aux.acc_seg": 47.37899, "loss": 1.64626, "time": 0.41306} +{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 12989, "data_time": 0.0058, "decode.loss_seg": 1.00161, "decode.acc_seg": 54.37386, "aux.loss_seg": 0.56065, "aux.acc_seg": 48.13782, "loss": 1.56226, "time": 0.41488} +{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 1.03381, "decode.acc_seg": 55.00982, "aux.loss_seg": 0.57373, "aux.acc_seg": 49.05836, "loss": 1.60754, "time": 0.41414} +{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 1.11448, "decode.acc_seg": 52.60772, "aux.loss_seg": 0.60869, "aux.acc_seg": 46.64088, "loss": 1.72317, "time": 0.41558} +{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 12989, "data_time": 0.24417, "decode.loss_seg": 0.98612, "decode.acc_seg": 53.43829, "aux.loss_seg": 0.55525, "aux.acc_seg": 46.98146, "loss": 1.54136, "time": 0.65473} +{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 1.03321, "decode.acc_seg": 55.25043, "aux.loss_seg": 0.58432, "aux.acc_seg": 48.24704, "loss": 1.61753, "time": 0.41743} +{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.99496, "decode.acc_seg": 55.41021, "aux.loss_seg": 0.55559, "aux.acc_seg": 49.40479, "loss": 1.55054, "time": 0.42716} +{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 1.01564, "decode.acc_seg": 55.03757, "aux.loss_seg": 0.57243, "aux.acc_seg": 49.07541, "loss": 1.58807, "time": 0.41759} +{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 12989, "data_time": 0.00601, "decode.loss_seg": 1.00636, "decode.acc_seg": 55.08015, "aux.loss_seg": 0.57121, "aux.acc_seg": 48.2896, "loss": 1.57757, "time": 0.42713} +{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.95854, "decode.acc_seg": 55.12517, "aux.loss_seg": 0.54239, "aux.acc_seg": 49.47747, "loss": 1.50093, "time": 0.41787} +{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 0.97531, "decode.acc_seg": 54.5808, "aux.loss_seg": 0.54485, "aux.acc_seg": 48.97023, "loss": 1.52015, "time": 0.42719} +{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 12989, "data_time": 0.0058, "decode.loss_seg": 1.00057, "decode.acc_seg": 54.18792, "aux.loss_seg": 0.55982, "aux.acc_seg": 47.6201, "loss": 1.56038, "time": 0.41665} +{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 12989, "data_time": 0.00632, "decode.loss_seg": 0.94811, "decode.acc_seg": 55.82015, "aux.loss_seg": 0.5374, "aux.acc_seg": 49.42397, "loss": 1.48551, "time": 0.41965} +{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 12989, "data_time": 0.00568, "decode.loss_seg": 0.93187, "decode.acc_seg": 57.28331, "aux.loss_seg": 0.54198, "aux.acc_seg": 50.80738, "loss": 1.47385, "time": 0.41225} +{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.97217, "decode.acc_seg": 54.14799, "aux.loss_seg": 0.5466, "aux.acc_seg": 48.16041, "loss": 1.51877, "time": 0.42043} +{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 12989, "data_time": 0.00607, "decode.loss_seg": 0.93297, "decode.acc_seg": 56.76509, "aux.loss_seg": 0.5372, "aux.acc_seg": 50.47258, "loss": 1.47017, "time": 0.41779} +{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 12989, "data_time": 0.00563, "decode.loss_seg": 0.9719, "decode.acc_seg": 56.55738, "aux.loss_seg": 0.55167, "aux.acc_seg": 50.11307, "loss": 1.52356, "time": 0.40855} +{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.9275, "decode.acc_seg": 55.52963, "aux.loss_seg": 0.53477, "aux.acc_seg": 49.16635, "loss": 1.46227, "time": 0.41197} +{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 12989, "data_time": 0.00609, "decode.loss_seg": 0.93457, "decode.acc_seg": 55.97771, "aux.loss_seg": 0.53335, "aux.acc_seg": 49.35899, "loss": 1.46792, "time": 0.41902} +{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 12989, "data_time": 0.00571, "decode.loss_seg": 0.91361, "decode.acc_seg": 56.9722, "aux.loss_seg": 0.52569, "aux.acc_seg": 50.47855, "loss": 1.4393, "time": 0.41451} +{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.91332, "decode.acc_seg": 56.20579, "aux.loss_seg": 0.52597, "aux.acc_seg": 49.68057, "loss": 1.43929, "time": 0.42528} +{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.95066, "decode.acc_seg": 56.38103, "aux.loss_seg": 0.53808, "aux.acc_seg": 49.91807, "loss": 1.48874, "time": 0.42177} +{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 12989, "data_time": 0.00569, "decode.loss_seg": 0.89877, "decode.acc_seg": 57.26755, "aux.loss_seg": 0.51613, "aux.acc_seg": 50.87213, "loss": 1.4149, "time": 0.41232} +{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 12989, "data_time": 0.00625, "decode.loss_seg": 0.93664, "decode.acc_seg": 55.43743, "aux.loss_seg": 0.52766, "aux.acc_seg": 49.55512, "loss": 1.4643, "time": 0.41617} +{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.89363, "decode.acc_seg": 57.39981, "aux.loss_seg": 0.52137, "aux.acc_seg": 50.96728, "loss": 1.41501, "time": 0.42221} +{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.88591, "decode.acc_seg": 57.27462, "aux.loss_seg": 0.51238, "aux.acc_seg": 50.71354, "loss": 1.39828, "time": 0.41717} +{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.9172, "decode.acc_seg": 57.18885, "aux.loss_seg": 0.52592, "aux.acc_seg": 50.47041, "loss": 1.44311, "time": 0.42639} +{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.88467, "decode.acc_seg": 56.66229, "aux.loss_seg": 0.51909, "aux.acc_seg": 49.53693, "loss": 1.40376, "time": 0.4159} +{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 12989, "data_time": 0.00569, "decode.loss_seg": 0.92386, "decode.acc_seg": 56.85799, "aux.loss_seg": 0.52457, "aux.acc_seg": 50.64509, "loss": 1.44843, "time": 0.41388} +{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 12989, "data_time": 0.23334, "decode.loss_seg": 0.85999, "decode.acc_seg": 56.07443, "aux.loss_seg": 0.50028, "aux.acc_seg": 49.26567, "loss": 1.36028, "time": 0.65188} +{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 0.82886, "decode.acc_seg": 56.99726, "aux.loss_seg": 0.49516, "aux.acc_seg": 49.97847, "loss": 1.32402, "time": 0.41696} +{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 12989, "data_time": 0.00642, "decode.loss_seg": 0.84918, "decode.acc_seg": 57.72104, "aux.loss_seg": 0.49717, "aux.acc_seg": 50.94566, "loss": 1.34634, "time": 0.41614} +{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 12989, "data_time": 0.00602, "decode.loss_seg": 0.85684, "decode.acc_seg": 56.85782, "aux.loss_seg": 0.49133, "aux.acc_seg": 50.69201, "loss": 1.34817, "time": 0.40725} +{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.8674, "decode.acc_seg": 57.64069, "aux.loss_seg": 0.50583, "aux.acc_seg": 50.40912, "loss": 1.37323, "time": 0.41067} +{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.82406, "decode.acc_seg": 57.32682, "aux.loss_seg": 0.47651, "aux.acc_seg": 51.54667, "loss": 1.30057, "time": 0.41121} +{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.86743, "decode.acc_seg": 58.72274, "aux.loss_seg": 0.50989, "aux.acc_seg": 51.37053, "loss": 1.37732, "time": 0.41891} +{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 12989, "data_time": 0.00583, "decode.loss_seg": 0.83421, "decode.acc_seg": 57.62883, "aux.loss_seg": 0.49233, "aux.acc_seg": 50.87434, "loss": 1.32654, "time": 0.41505} +{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 12989, "data_time": 0.00634, "decode.loss_seg": 0.82996, "decode.acc_seg": 57.2142, "aux.loss_seg": 0.48534, "aux.acc_seg": 50.38315, "loss": 1.3153, "time": 0.41681} +{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 12989, "data_time": 0.00617, "decode.loss_seg": 0.84499, "decode.acc_seg": 56.93516, "aux.loss_seg": 0.48641, "aux.acc_seg": 50.57964, "loss": 1.3314, "time": 0.40932} +{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.8665, "decode.acc_seg": 57.04714, "aux.loss_seg": 0.49319, "aux.acc_seg": 50.31173, "loss": 1.35969, "time": 0.42089} +{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.86799, "decode.acc_seg": 55.97635, "aux.loss_seg": 0.50633, "aux.acc_seg": 48.83596, "loss": 1.37431, "time": 0.41172} +{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 12989, "data_time": 0.00681, "decode.loss_seg": 0.8499, "decode.acc_seg": 57.90521, "aux.loss_seg": 0.50619, "aux.acc_seg": 51.31022, "loss": 1.35609, "time": 0.43295} +{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.85261, "decode.acc_seg": 57.32994, "aux.loss_seg": 0.4866, "aux.acc_seg": 50.91483, "loss": 1.33921, "time": 0.4112} +{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.84814, "decode.acc_seg": 57.77165, "aux.loss_seg": 0.48783, "aux.acc_seg": 51.14377, "loss": 1.33597, "time": 0.40967} +{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.86977, "decode.acc_seg": 56.96734, "aux.loss_seg": 0.49718, "aux.acc_seg": 50.97081, "loss": 1.36695, "time": 0.41881} +{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.82105, "decode.acc_seg": 57.34747, "aux.loss_seg": 0.47944, "aux.acc_seg": 50.83858, "loss": 1.30049, "time": 0.42011} +{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.87689, "decode.acc_seg": 58.24597, "aux.loss_seg": 0.50953, "aux.acc_seg": 51.17864, "loss": 1.38642, "time": 0.41515} +{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.78925, "decode.acc_seg": 58.94292, "aux.loss_seg": 0.4632, "aux.acc_seg": 52.52725, "loss": 1.25245, "time": 0.41006} +{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.83175, "decode.acc_seg": 57.63421, "aux.loss_seg": 0.48392, "aux.acc_seg": 50.62694, "loss": 1.31567, "time": 0.40797} +{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.84912, "decode.acc_seg": 58.29641, "aux.loss_seg": 0.47715, "aux.acc_seg": 52.38104, "loss": 1.32627, "time": 0.40924} +{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.841, "decode.acc_seg": 57.09265, "aux.loss_seg": 0.48045, "aux.acc_seg": 50.85736, "loss": 1.32145, "time": 0.41884} +{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.84413, "decode.acc_seg": 57.55112, "aux.loss_seg": 0.48638, "aux.acc_seg": 50.8912, "loss": 1.33052, "time": 0.41952} +{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.82233, "decode.acc_seg": 58.51143, "aux.loss_seg": 0.47558, "aux.acc_seg": 52.24317, "loss": 1.29792, "time": 0.42261} +{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.83087, "decode.acc_seg": 57.65218, "aux.loss_seg": 0.47177, "aux.acc_seg": 52.12299, "loss": 1.30263, "time": 0.41663} +{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.8057, "decode.acc_seg": 58.42049, "aux.loss_seg": 0.47611, "aux.acc_seg": 52.07293, "loss": 1.28181, "time": 0.40832} +{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 12989, "data_time": 0.23199, "decode.loss_seg": 0.78709, "decode.acc_seg": 57.15266, "aux.loss_seg": 0.4548, "aux.acc_seg": 51.00584, "loss": 1.2419, "time": 0.64203} +{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 12989, "data_time": 0.00668, "decode.loss_seg": 0.82063, "decode.acc_seg": 58.82834, "aux.loss_seg": 0.47222, "aux.acc_seg": 52.4534, "loss": 1.29284, "time": 0.41301} +{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.8079, "decode.acc_seg": 59.06741, "aux.loss_seg": 0.46509, "aux.acc_seg": 53.02282, "loss": 1.27299, "time": 0.4102} +{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 12989, "data_time": 0.00585, "decode.loss_seg": 0.85248, "decode.acc_seg": 57.96655, "aux.loss_seg": 0.48723, "aux.acc_seg": 51.27643, "loss": 1.3397, "time": 0.41043} +{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.78979, "decode.acc_seg": 59.41826, "aux.loss_seg": 0.47159, "aux.acc_seg": 52.295, "loss": 1.26138, "time": 0.40855} +{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.79126, "decode.acc_seg": 59.28914, "aux.loss_seg": 0.46612, "aux.acc_seg": 52.75672, "loss": 1.25738, "time": 0.40784} +{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.772, "decode.acc_seg": 58.94173, "aux.loss_seg": 0.45487, "aux.acc_seg": 52.71416, "loss": 1.22687, "time": 0.40658} +{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.76718, "decode.acc_seg": 58.78415, "aux.loss_seg": 0.458, "aux.acc_seg": 51.83038, "loss": 1.22518, "time": 0.41079} +{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 12989, "data_time": 0.00578, "decode.loss_seg": 0.80635, "decode.acc_seg": 58.51915, "aux.loss_seg": 0.46639, "aux.acc_seg": 52.0245, "loss": 1.27275, "time": 0.40622} +{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.79378, "decode.acc_seg": 58.76327, "aux.loss_seg": 0.46228, "aux.acc_seg": 52.28586, "loss": 1.25607, "time": 0.40745} +{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 12989, "data_time": 0.00649, "decode.loss_seg": 0.78304, "decode.acc_seg": 59.94691, "aux.loss_seg": 0.46142, "aux.acc_seg": 52.71855, "loss": 1.24446, "time": 0.4099} +{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.78153, "decode.acc_seg": 58.62614, "aux.loss_seg": 0.45885, "aux.acc_seg": 52.04405, "loss": 1.24038, "time": 0.41276} +{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 12989, "data_time": 0.00576, "decode.loss_seg": 0.76194, "decode.acc_seg": 60.60398, "aux.loss_seg": 0.44839, "aux.acc_seg": 53.60373, "loss": 1.21033, "time": 0.40886} +{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 12989, "data_time": 0.0057, "decode.loss_seg": 0.76612, "decode.acc_seg": 59.31784, "aux.loss_seg": 0.46362, "aux.acc_seg": 51.02304, "loss": 1.22974, "time": 0.40752} +{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.74471, "decode.acc_seg": 60.34566, "aux.loss_seg": 0.4346, "aux.acc_seg": 54.14471, "loss": 1.17931, "time": 0.40566} +{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.79962, "decode.acc_seg": 60.18002, "aux.loss_seg": 0.45987, "aux.acc_seg": 53.29599, "loss": 1.25949, "time": 0.40669} +{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 12989, "data_time": 0.00566, "decode.loss_seg": 0.81184, "decode.acc_seg": 58.71036, "aux.loss_seg": 0.46123, "aux.acc_seg": 52.76396, "loss": 1.27307, "time": 0.40648} +{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.78034, "decode.acc_seg": 58.66112, "aux.loss_seg": 0.44414, "aux.acc_seg": 52.19522, "loss": 1.22449, "time": 0.41762} +{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.79373, "decode.acc_seg": 58.86848, "aux.loss_seg": 0.47073, "aux.acc_seg": 51.52759, "loss": 1.26446, "time": 0.40832} +{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 0.78708, "decode.acc_seg": 58.76773, "aux.loss_seg": 0.45818, "aux.acc_seg": 51.88922, "loss": 1.24526, "time": 0.40517} +{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.79262, "decode.acc_seg": 57.73021, "aux.loss_seg": 0.46337, "aux.acc_seg": 50.86971, "loss": 1.25599, "time": 0.40994} +{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 0.73947, "decode.acc_seg": 58.85057, "aux.loss_seg": 0.42814, "aux.acc_seg": 51.88198, "loss": 1.16762, "time": 0.40564} +{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.75549, "decode.acc_seg": 58.15654, "aux.loss_seg": 0.43487, "aux.acc_seg": 52.22536, "loss": 1.19036, "time": 0.41498} +{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 0.74465, "decode.acc_seg": 57.47734, "aux.loss_seg": 0.4322, "aux.acc_seg": 51.49403, "loss": 1.17685, "time": 0.41638} +{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 12989, "data_time": 0.00641, "decode.loss_seg": 0.78791, "decode.acc_seg": 58.77586, "aux.loss_seg": 0.4574, "aux.acc_seg": 52.11309, "loss": 1.24531, "time": 0.4224} +{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 12989, "data_time": 0.24224, "decode.loss_seg": 0.74855, "decode.acc_seg": 59.57566, "aux.loss_seg": 0.43041, "aux.acc_seg": 53.76924, "loss": 1.17896, "time": 0.65735} +{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.69442, "decode.acc_seg": 58.80809, "aux.loss_seg": 0.4309, "aux.acc_seg": 51.52539, "loss": 1.12532, "time": 0.41378} +{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 12989, "data_time": 0.00612, "decode.loss_seg": 0.72349, "decode.acc_seg": 60.0929, "aux.loss_seg": 0.42292, "aux.acc_seg": 54.18325, "loss": 1.1464, "time": 0.40864} +{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.7746, "decode.acc_seg": 58.29098, "aux.loss_seg": 0.44761, "aux.acc_seg": 51.75013, "loss": 1.2222, "time": 0.40984} +{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 12989, "data_time": 0.00574, "decode.loss_seg": 0.72477, "decode.acc_seg": 60.76269, "aux.loss_seg": 0.4327, "aux.acc_seg": 54.48177, "loss": 1.15747, "time": 0.4059} +{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 0.79107, "decode.acc_seg": 59.80685, "aux.loss_seg": 0.46582, "aux.acc_seg": 52.9146, "loss": 1.25688, "time": 0.40823} +{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.70938, "decode.acc_seg": 59.57188, "aux.loss_seg": 0.41551, "aux.acc_seg": 53.28869, "loss": 1.1249, "time": 0.4076} +{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.75667, "decode.acc_seg": 59.96697, "aux.loss_seg": 0.4493, "aux.acc_seg": 53.00289, "loss": 1.20597, "time": 0.40811} +{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 12989, "data_time": 0.00563, "decode.loss_seg": 0.74051, "decode.acc_seg": 60.60809, "aux.loss_seg": 0.4376, "aux.acc_seg": 53.66517, "loss": 1.17811, "time": 0.41697} +{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.69574, "decode.acc_seg": 61.12365, "aux.loss_seg": 0.41885, "aux.acc_seg": 54.15821, "loss": 1.1146, "time": 0.40823} +{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.71269, "decode.acc_seg": 61.02369, "aux.loss_seg": 0.42057, "aux.acc_seg": 54.55992, "loss": 1.13326, "time": 0.40712} +{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.74979, "decode.acc_seg": 59.18056, "aux.loss_seg": 0.43273, "aux.acc_seg": 52.08233, "loss": 1.18252, "time": 0.41404} +{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 12989, "data_time": 0.00582, "decode.loss_seg": 0.72977, "decode.acc_seg": 58.69934, "aux.loss_seg": 0.42813, "aux.acc_seg": 52.5206, "loss": 1.1579, "time": 0.40931} +{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.74117, "decode.acc_seg": 59.31483, "aux.loss_seg": 0.42983, "aux.acc_seg": 53.21818, "loss": 1.171, "time": 0.41114} +{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 12989, "data_time": 0.00617, "decode.loss_seg": 0.73035, "decode.acc_seg": 60.31789, "aux.loss_seg": 0.42279, "aux.acc_seg": 53.85888, "loss": 1.15314, "time": 0.40677} +{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.72105, "decode.acc_seg": 59.57705, "aux.loss_seg": 0.42065, "aux.acc_seg": 53.66826, "loss": 1.1417, "time": 0.41214} +{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.7729, "decode.acc_seg": 58.74733, "aux.loss_seg": 0.45201, "aux.acc_seg": 52.03324, "loss": 1.22491, "time": 0.40547} +{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 12989, "data_time": 0.00683, "decode.loss_seg": 0.72439, "decode.acc_seg": 60.06811, "aux.loss_seg": 0.43227, "aux.acc_seg": 53.07753, "loss": 1.15666, "time": 0.42208} +{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 0.72428, "decode.acc_seg": 59.14178, "aux.loss_seg": 0.41706, "aux.acc_seg": 53.32187, "loss": 1.14135, "time": 0.41251} +{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 12989, "data_time": 0.00668, "decode.loss_seg": 0.73487, "decode.acc_seg": 58.92104, "aux.loss_seg": 0.42629, "aux.acc_seg": 53.08188, "loss": 1.16116, "time": 0.425} +{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.73028, "decode.acc_seg": 60.14441, "aux.loss_seg": 0.42549, "aux.acc_seg": 54.02562, "loss": 1.15577, "time": 0.41757} +{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 0.73111, "decode.acc_seg": 58.96785, "aux.loss_seg": 0.42411, "aux.acc_seg": 52.74605, "loss": 1.15522, "time": 0.40929} +{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.72545, "decode.acc_seg": 61.01784, "aux.loss_seg": 0.42114, "aux.acc_seg": 54.09106, "loss": 1.14659, "time": 0.40942} +{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.74165, "decode.acc_seg": 60.28659, "aux.loss_seg": 0.43801, "aux.acc_seg": 53.24167, "loss": 1.17965, "time": 0.40765} +{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.74712, "decode.acc_seg": 60.25896, "aux.loss_seg": 0.43501, "aux.acc_seg": 53.46505, "loss": 1.18213, "time": 0.40764} +{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 12989, "data_time": 0.21832, "decode.loss_seg": 0.73628, "decode.acc_seg": 60.00889, "aux.loss_seg": 0.42109, "aux.acc_seg": 53.60066, "loss": 1.15737, "time": 0.63741} +{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 12989, "data_time": 0.00593, "decode.loss_seg": 0.69858, "decode.acc_seg": 59.97618, "aux.loss_seg": 0.42153, "aux.acc_seg": 53.26662, "loss": 1.1201, "time": 0.4045} +{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.73685, "decode.acc_seg": 60.88573, "aux.loss_seg": 0.42683, "aux.acc_seg": 54.40995, "loss": 1.16368, "time": 0.40652} +{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 12989, "data_time": 0.00637, "decode.loss_seg": 0.69149, "decode.acc_seg": 60.29136, "aux.loss_seg": 0.41771, "aux.acc_seg": 53.23791, "loss": 1.10919, "time": 0.40566} +{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 12989, "data_time": 0.00719, "decode.loss_seg": 0.71916, "decode.acc_seg": 59.75614, "aux.loss_seg": 0.42245, "aux.acc_seg": 53.15162, "loss": 1.14161, "time": 0.41194} +{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 12989, "data_time": 0.00629, "decode.loss_seg": 0.67125, "decode.acc_seg": 61.39739, "aux.loss_seg": 0.40705, "aux.acc_seg": 54.35833, "loss": 1.0783, "time": 0.40962} +{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 12989, "data_time": 0.00605, "decode.loss_seg": 0.71499, "decode.acc_seg": 60.09203, "aux.loss_seg": 0.41947, "aux.acc_seg": 53.90389, "loss": 1.13446, "time": 0.4052} +{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 12989, "data_time": 0.00655, "decode.loss_seg": 0.66465, "decode.acc_seg": 60.36502, "aux.loss_seg": 0.39568, "aux.acc_seg": 53.91176, "loss": 1.06033, "time": 0.41695} +{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.71627, "decode.acc_seg": 59.32016, "aux.loss_seg": 0.42867, "aux.acc_seg": 52.84201, "loss": 1.14494, "time": 0.40502} +{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 12989, "data_time": 0.00607, "decode.loss_seg": 0.74694, "decode.acc_seg": 61.42056, "aux.loss_seg": 0.43394, "aux.acc_seg": 54.5196, "loss": 1.18088, "time": 0.40434} +{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 12989, "data_time": 0.0061, "decode.loss_seg": 0.71778, "decode.acc_seg": 59.54147, "aux.loss_seg": 0.41928, "aux.acc_seg": 52.52525, "loss": 1.13707, "time": 0.40477} +{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.6941, "decode.acc_seg": 59.95545, "aux.loss_seg": 0.40224, "aux.acc_seg": 53.76051, "loss": 1.09634, "time": 0.40795} +{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.69666, "decode.acc_seg": 59.54269, "aux.loss_seg": 0.3979, "aux.acc_seg": 53.78526, "loss": 1.09456, "time": 0.40919} +{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.72118, "decode.acc_seg": 62.01718, "aux.loss_seg": 0.41822, "aux.acc_seg": 55.37293, "loss": 1.1394, "time": 0.40871} +{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.6792, "decode.acc_seg": 60.14691, "aux.loss_seg": 0.40172, "aux.acc_seg": 53.55162, "loss": 1.08092, "time": 0.40525} +{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.724, "decode.acc_seg": 59.47791, "aux.loss_seg": 0.41354, "aux.acc_seg": 53.49308, "loss": 1.13755, "time": 0.41313} +{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 0.70151, "decode.acc_seg": 60.71091, "aux.loss_seg": 0.41376, "aux.acc_seg": 53.97808, "loss": 1.11528, "time": 0.41531} +{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 12989, "data_time": 0.00633, "decode.loss_seg": 0.72824, "decode.acc_seg": 59.73359, "aux.loss_seg": 0.4251, "aux.acc_seg": 53.23485, "loss": 1.15334, "time": 0.42169} +{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 12989, "data_time": 0.00626, "decode.loss_seg": 0.67937, "decode.acc_seg": 60.63518, "aux.loss_seg": 0.41028, "aux.acc_seg": 53.45354, "loss": 1.08965, "time": 0.40594} +{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.72365, "decode.acc_seg": 60.08268, "aux.loss_seg": 0.42086, "aux.acc_seg": 53.76709, "loss": 1.14451, "time": 0.42309} +{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.68668, "decode.acc_seg": 61.59467, "aux.loss_seg": 0.40636, "aux.acc_seg": 54.92752, "loss": 1.09304, "time": 0.40826} +{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.73388, "decode.acc_seg": 60.06652, "aux.loss_seg": 0.43599, "aux.acc_seg": 52.74717, "loss": 1.16987, "time": 0.41096} +{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.70878, "decode.acc_seg": 61.58513, "aux.loss_seg": 0.41145, "aux.acc_seg": 55.2478, "loss": 1.12022, "time": 0.40665} +{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 12989, "data_time": 0.00607, "decode.loss_seg": 0.67815, "decode.acc_seg": 61.44422, "aux.loss_seg": 0.40982, "aux.acc_seg": 54.20114, "loss": 1.08797, "time": 0.40633} +{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 12989, "data_time": 0.00655, "decode.loss_seg": 0.66416, "decode.acc_seg": 60.80622, "aux.loss_seg": 0.39843, "aux.acc_seg": 53.50002, "loss": 1.06258, "time": 0.41871} +{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 12989, "data_time": 0.22777, "decode.loss_seg": 0.72487, "decode.acc_seg": 59.83173, "aux.loss_seg": 0.4188, "aux.acc_seg": 53.60429, "loss": 1.14367, "time": 0.63795} +{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.67083, "decode.acc_seg": 60.90382, "aux.loss_seg": 0.40398, "aux.acc_seg": 53.54054, "loss": 1.07481, "time": 0.40798} +{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.68398, "decode.acc_seg": 60.90498, "aux.loss_seg": 0.40236, "aux.acc_seg": 54.35634, "loss": 1.08634, "time": 0.40309} +{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.61445, "decode.acc_seg": 61.55521, "aux.loss_seg": 0.36561, "aux.acc_seg": 55.58413, "loss": 0.98006, "time": 0.41107} +{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.69047, "decode.acc_seg": 60.82983, "aux.loss_seg": 0.41217, "aux.acc_seg": 53.88412, "loss": 1.10265, "time": 0.41078} +{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 12989, "data_time": 0.00646, "decode.loss_seg": 0.67945, "decode.acc_seg": 61.12725, "aux.loss_seg": 0.40498, "aux.acc_seg": 53.96848, "loss": 1.08444, "time": 0.42114} +{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.68189, "decode.acc_seg": 61.41516, "aux.loss_seg": 0.4079, "aux.acc_seg": 54.25621, "loss": 1.08979, "time": 0.42417} +{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 12989, "data_time": 0.00626, "decode.loss_seg": 0.67685, "decode.acc_seg": 62.2611, "aux.loss_seg": 0.39972, "aux.acc_seg": 55.46935, "loss": 1.07657, "time": 0.41036} +{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.70646, "decode.acc_seg": 60.73018, "aux.loss_seg": 0.42445, "aux.acc_seg": 53.54557, "loss": 1.13091, "time": 0.40329} +{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.67094, "decode.acc_seg": 61.76468, "aux.loss_seg": 0.40747, "aux.acc_seg": 54.4958, "loss": 1.07841, "time": 0.41173} +{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.68142, "decode.acc_seg": 62.19078, "aux.loss_seg": 0.40147, "aux.acc_seg": 55.69705, "loss": 1.08289, "time": 0.40293} +{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.68118, "decode.acc_seg": 60.35218, "aux.loss_seg": 0.38862, "aux.acc_seg": 54.53778, "loss": 1.06979, "time": 0.40923} +{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.67731, "decode.acc_seg": 60.41961, "aux.loss_seg": 0.39819, "aux.acc_seg": 53.89031, "loss": 1.0755, "time": 0.41078} +{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 12989, "data_time": 0.0062, "decode.loss_seg": 0.70093, "decode.acc_seg": 62.3275, "aux.loss_seg": 0.4083, "aux.acc_seg": 55.73432, "loss": 1.10922, "time": 0.40912} +{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 12989, "data_time": 0.00593, "decode.loss_seg": 0.67655, "decode.acc_seg": 60.92485, "aux.loss_seg": 0.39988, "aux.acc_seg": 54.33727, "loss": 1.07643, "time": 0.40397} +{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 12989, "data_time": 0.00687, "decode.loss_seg": 0.70967, "decode.acc_seg": 60.89413, "aux.loss_seg": 0.4072, "aux.acc_seg": 54.20797, "loss": 1.11687, "time": 0.40594} +{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 12989, "data_time": 0.00566, "decode.loss_seg": 0.67523, "decode.acc_seg": 61.17843, "aux.loss_seg": 0.39124, "aux.acc_seg": 54.56398, "loss": 1.06647, "time": 0.40271} +{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.69134, "decode.acc_seg": 60.9406, "aux.loss_seg": 0.40859, "aux.acc_seg": 54.05028, "loss": 1.09993, "time": 0.41102} +{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.6716, "decode.acc_seg": 59.93395, "aux.loss_seg": 0.40399, "aux.acc_seg": 53.1375, "loss": 1.07559, "time": 0.40917} +{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 12989, "data_time": 0.00578, "decode.loss_seg": 0.64531, "decode.acc_seg": 60.28668, "aux.loss_seg": 0.3742, "aux.acc_seg": 54.32045, "loss": 1.01951, "time": 0.41676} +{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.69347, "decode.acc_seg": 60.64977, "aux.loss_seg": 0.39693, "aux.acc_seg": 54.60732, "loss": 1.0904, "time": 0.41426} +{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.6925, "decode.acc_seg": 60.55743, "aux.loss_seg": 0.40439, "aux.acc_seg": 53.55494, "loss": 1.09688, "time": 0.4084} +{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.68381, "decode.acc_seg": 60.44835, "aux.loss_seg": 0.39395, "aux.acc_seg": 54.58794, "loss": 1.07776, "time": 0.42429} +{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 12989, "data_time": 0.00665, "decode.loss_seg": 0.69003, "decode.acc_seg": 59.32039, "aux.loss_seg": 0.41197, "aux.acc_seg": 52.27357, "loss": 1.102, "time": 0.40684} +{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 12989, "data_time": 0.0061, "decode.loss_seg": 0.67981, "decode.acc_seg": 59.37497, "aux.loss_seg": 0.39551, "aux.acc_seg": 53.12882, "loss": 1.07532, "time": 0.40652} +{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 0.68924, "decode.acc_seg": 61.35965, "aux.loss_seg": 0.39648, "aux.acc_seg": 55.55156, "loss": 1.08572, "time": 0.40437} +{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 12989, "data_time": 0.21477, "decode.loss_seg": 0.6413, "decode.acc_seg": 61.3273, "aux.loss_seg": 0.38698, "aux.acc_seg": 54.44257, "loss": 1.02827, "time": 0.63599} +{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 12989, "data_time": 0.00651, "decode.loss_seg": 0.64738, "decode.acc_seg": 61.31641, "aux.loss_seg": 0.38765, "aux.acc_seg": 54.35555, "loss": 1.03502, "time": 0.41392} +{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 0.6363, "decode.acc_seg": 62.37464, "aux.loss_seg": 0.37434, "aux.acc_seg": 55.86621, "loss": 1.01065, "time": 0.41125} +{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 12989, "data_time": 0.00581, "decode.loss_seg": 0.67491, "decode.acc_seg": 60.45947, "aux.loss_seg": 0.39668, "aux.acc_seg": 53.78586, "loss": 1.07159, "time": 0.40368} +{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.68452, "decode.acc_seg": 60.71594, "aux.loss_seg": 0.39314, "aux.acc_seg": 54.79293, "loss": 1.07766, "time": 0.40211} +{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.6869, "decode.acc_seg": 61.22582, "aux.loss_seg": 0.39769, "aux.acc_seg": 54.7804, "loss": 1.08459, "time": 0.40426} +{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 12989, "data_time": 0.0058, "decode.loss_seg": 0.63826, "decode.acc_seg": 62.23457, "aux.loss_seg": 0.3871, "aux.acc_seg": 55.30149, "loss": 1.02536, "time": 0.40892} +{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 12989, "data_time": 0.00583, "decode.loss_seg": 0.70191, "decode.acc_seg": 59.4873, "aux.loss_seg": 0.41096, "aux.acc_seg": 52.75555, "loss": 1.11287, "time": 0.40591} +{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.67786, "decode.acc_seg": 62.14198, "aux.loss_seg": 0.39998, "aux.acc_seg": 55.15013, "loss": 1.07784, "time": 0.40044} +{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 12989, "data_time": 0.00601, "decode.loss_seg": 0.63571, "decode.acc_seg": 62.89799, "aux.loss_seg": 0.38488, "aux.acc_seg": 55.70803, "loss": 1.0206, "time": 0.40156} +{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 12989, "data_time": 0.00646, "decode.loss_seg": 0.6538, "decode.acc_seg": 60.87966, "aux.loss_seg": 0.38555, "aux.acc_seg": 54.95872, "loss": 1.03935, "time": 0.41022} +{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.6329, "decode.acc_seg": 61.30056, "aux.loss_seg": 0.3753, "aux.acc_seg": 55.02519, "loss": 1.0082, "time": 0.40301} +{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.64441, "decode.acc_seg": 60.91845, "aux.loss_seg": 0.38995, "aux.acc_seg": 53.5904, "loss": 1.03436, "time": 0.41432} +{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 12989, "data_time": 0.00605, "decode.loss_seg": 0.65687, "decode.acc_seg": 60.57008, "aux.loss_seg": 0.38704, "aux.acc_seg": 54.12651, "loss": 1.04391, "time": 0.40927} +{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.62951, "decode.acc_seg": 60.88931, "aux.loss_seg": 0.37577, "aux.acc_seg": 53.93756, "loss": 1.00528, "time": 0.40617} +{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.62051, "decode.acc_seg": 62.33211, "aux.loss_seg": 0.36212, "aux.acc_seg": 56.34408, "loss": 0.98263, "time": 0.40598} +{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.66115, "decode.acc_seg": 61.06071, "aux.loss_seg": 0.39428, "aux.acc_seg": 54.34528, "loss": 1.05543, "time": 0.40244} +{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 12989, "data_time": 0.00609, "decode.loss_seg": 0.67756, "decode.acc_seg": 61.25596, "aux.loss_seg": 0.39858, "aux.acc_seg": 54.56693, "loss": 1.07613, "time": 0.4054} +{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.62682, "decode.acc_seg": 63.13754, "aux.loss_seg": 0.37106, "aux.acc_seg": 56.63572, "loss": 0.99788, "time": 0.40349} +{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.65048, "decode.acc_seg": 62.81466, "aux.loss_seg": 0.38454, "aux.acc_seg": 56.39694, "loss": 1.03502, "time": 0.40368} +{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 12989, "data_time": 0.00641, "decode.loss_seg": 0.67889, "decode.acc_seg": 61.74886, "aux.loss_seg": 0.39045, "aux.acc_seg": 55.53489, "loss": 1.06934, "time": 0.40427} +{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.64105, "decode.acc_seg": 62.07017, "aux.loss_seg": 0.37923, "aux.acc_seg": 55.4354, "loss": 1.02028, "time": 0.40726} +{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.63262, "decode.acc_seg": 61.43451, "aux.loss_seg": 0.3818, "aux.acc_seg": 54.61746, "loss": 1.01442, "time": 0.40287} +{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.66805, "decode.acc_seg": 61.9539, "aux.loss_seg": 0.38788, "aux.acc_seg": 55.56918, "loss": 1.05593, "time": 0.40391} +{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.6674, "decode.acc_seg": 60.53795, "aux.loss_seg": 0.38914, "aux.acc_seg": 54.45707, "loss": 1.05653, "time": 0.40935} +{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 12989, "data_time": 0.21748, "decode.loss_seg": 0.66338, "decode.acc_seg": 62.28697, "aux.loss_seg": 0.3791, "aux.acc_seg": 56.23322, "loss": 1.04248, "time": 0.65609} +{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 12989, "data_time": 0.00658, "decode.loss_seg": 0.62402, "decode.acc_seg": 63.77528, "aux.loss_seg": 0.37946, "aux.acc_seg": 56.95123, "loss": 1.00348, "time": 0.41905} +{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 12989, "data_time": 0.00638, "decode.loss_seg": 0.59547, "decode.acc_seg": 63.09225, "aux.loss_seg": 0.36759, "aux.acc_seg": 56.18536, "loss": 0.96306, "time": 0.4159} +{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.66175, "decode.acc_seg": 60.57051, "aux.loss_seg": 0.39005, "aux.acc_seg": 53.87039, "loss": 1.0518, "time": 0.40041} +{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.60651, "decode.acc_seg": 62.59635, "aux.loss_seg": 0.36072, "aux.acc_seg": 56.52248, "loss": 0.96723, "time": 0.40936} +{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.62521, "decode.acc_seg": 63.30239, "aux.loss_seg": 0.37562, "aux.acc_seg": 56.78465, "loss": 1.00083, "time": 0.40266} +{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.61798, "decode.acc_seg": 62.73385, "aux.loss_seg": 0.38793, "aux.acc_seg": 55.03852, "loss": 1.00591, "time": 0.40295} +{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 12989, "data_time": 0.00579, "decode.loss_seg": 0.64613, "decode.acc_seg": 62.45065, "aux.loss_seg": 0.38282, "aux.acc_seg": 55.88723, "loss": 1.02895, "time": 0.40316} +{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 12989, "data_time": 0.00619, "decode.loss_seg": 0.61775, "decode.acc_seg": 62.69409, "aux.loss_seg": 0.37234, "aux.acc_seg": 56.12955, "loss": 0.9901, "time": 0.42177} +{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.61346, "decode.acc_seg": 61.64458, "aux.loss_seg": 0.36259, "aux.acc_seg": 55.36866, "loss": 0.97605, "time": 0.41793} +{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 0.61699, "decode.acc_seg": 61.09534, "aux.loss_seg": 0.36415, "aux.acc_seg": 54.85681, "loss": 0.98114, "time": 0.40848} +{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.63636, "decode.acc_seg": 61.44814, "aux.loss_seg": 0.37649, "aux.acc_seg": 55.16182, "loss": 1.01285, "time": 0.41256} +{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.6109, "decode.acc_seg": 63.06314, "aux.loss_seg": 0.36608, "aux.acc_seg": 56.39133, "loss": 0.97698, "time": 0.42359} +{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.6689, "decode.acc_seg": 61.03263, "aux.loss_seg": 0.38721, "aux.acc_seg": 54.82322, "loss": 1.05611, "time": 0.41662} +{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.64854, "decode.acc_seg": 63.28728, "aux.loss_seg": 0.38369, "aux.acc_seg": 56.67511, "loss": 1.03223, "time": 0.41072} +{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 12989, "data_time": 0.00583, "decode.loss_seg": 0.67321, "decode.acc_seg": 61.16939, "aux.loss_seg": 0.39529, "aux.acc_seg": 54.18661, "loss": 1.0685, "time": 0.40982} +{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.62732, "decode.acc_seg": 61.41327, "aux.loss_seg": 0.36382, "aux.acc_seg": 55.79512, "loss": 0.99114, "time": 0.40618} +{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 0.61298, "decode.acc_seg": 61.9989, "aux.loss_seg": 0.35874, "aux.acc_seg": 55.78521, "loss": 0.97172, "time": 0.39902} +{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 12989, "data_time": 0.00573, "decode.loss_seg": 0.6651, "decode.acc_seg": 61.92161, "aux.loss_seg": 0.38829, "aux.acc_seg": 54.81054, "loss": 1.05339, "time": 0.4057} +{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 12989, "data_time": 0.0056, "decode.loss_seg": 0.65477, "decode.acc_seg": 61.45693, "aux.loss_seg": 0.38385, "aux.acc_seg": 54.96014, "loss": 1.03862, "time": 0.40562} +{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.59844, "decode.acc_seg": 62.23963, "aux.loss_seg": 0.35415, "aux.acc_seg": 56.40528, "loss": 0.95259, "time": 0.40667} +{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 12989, "data_time": 0.00581, "decode.loss_seg": 0.61496, "decode.acc_seg": 61.57566, "aux.loss_seg": 0.37236, "aux.acc_seg": 54.24277, "loss": 0.98732, "time": 0.40788} +{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 12989, "data_time": 0.00574, "decode.loss_seg": 0.63826, "decode.acc_seg": 61.71133, "aux.loss_seg": 0.37592, "aux.acc_seg": 55.37526, "loss": 1.01418, "time": 0.40126} +{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.63478, "decode.acc_seg": 62.20378, "aux.loss_seg": 0.37445, "aux.acc_seg": 55.68468, "loss": 1.00922, "time": 0.40883} +{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 0.63494, "decode.acc_seg": 61.63599, "aux.loss_seg": 0.37381, "aux.acc_seg": 54.9961, "loss": 1.00876, "time": 0.40257} +{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 12989, "data_time": 0.23862, "decode.loss_seg": 0.61395, "decode.acc_seg": 61.2989, "aux.loss_seg": 0.37112, "aux.acc_seg": 54.37952, "loss": 0.98507, "time": 0.63436} +{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 0.59488, "decode.acc_seg": 64.14718, "aux.loss_seg": 0.36387, "aux.acc_seg": 57.2721, "loss": 0.95876, "time": 0.40223} +{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 12989, "data_time": 0.00682, "decode.loss_seg": 0.64583, "decode.acc_seg": 62.02768, "aux.loss_seg": 0.38031, "aux.acc_seg": 55.35409, "loss": 1.02614, "time": 0.41345} +{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.63212, "decode.acc_seg": 62.10738, "aux.loss_seg": 0.3715, "aux.acc_seg": 55.39358, "loss": 1.00362, "time": 0.41401} +{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.61562, "decode.acc_seg": 61.87653, "aux.loss_seg": 0.36447, "aux.acc_seg": 55.92175, "loss": 0.98009, "time": 0.40568} +{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.60313, "decode.acc_seg": 63.54278, "aux.loss_seg": 0.36497, "aux.acc_seg": 56.78318, "loss": 0.9681, "time": 0.41689} +{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 12989, "data_time": 0.00624, "decode.loss_seg": 0.61566, "decode.acc_seg": 61.23064, "aux.loss_seg": 0.37301, "aux.acc_seg": 54.45573, "loss": 0.98867, "time": 0.41229} +{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.62825, "decode.acc_seg": 63.17003, "aux.loss_seg": 0.37368, "aux.acc_seg": 56.369, "loss": 1.00193, "time": 0.40206} +{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 12989, "data_time": 0.00625, "decode.loss_seg": 0.62296, "decode.acc_seg": 62.62997, "aux.loss_seg": 0.37006, "aux.acc_seg": 56.33892, "loss": 0.99302, "time": 0.41178} +{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.60039, "decode.acc_seg": 62.56375, "aux.loss_seg": 0.35879, "aux.acc_seg": 56.17335, "loss": 0.95918, "time": 0.40522} +{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.60151, "decode.acc_seg": 62.68446, "aux.loss_seg": 0.36605, "aux.acc_seg": 55.84587, "loss": 0.96756, "time": 0.40249} +{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.62759, "decode.acc_seg": 63.36268, "aux.loss_seg": 0.36886, "aux.acc_seg": 57.18122, "loss": 0.99645, "time": 0.40264} +{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.61457, "decode.acc_seg": 61.89587, "aux.loss_seg": 0.36526, "aux.acc_seg": 55.41238, "loss": 0.97984, "time": 0.41347} +{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 12989, "data_time": 0.00602, "decode.loss_seg": 0.62195, "decode.acc_seg": 63.35525, "aux.loss_seg": 0.36778, "aux.acc_seg": 57.13342, "loss": 0.98973, "time": 0.40492} +{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.61535, "decode.acc_seg": 60.91615, "aux.loss_seg": 0.35165, "aux.acc_seg": 55.39335, "loss": 0.967, "time": 0.40352} +{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.61134, "decode.acc_seg": 62.1027, "aux.loss_seg": 0.36967, "aux.acc_seg": 54.89209, "loss": 0.98101, "time": 0.40765} +{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.62482, "decode.acc_seg": 63.60477, "aux.loss_seg": 0.37741, "aux.acc_seg": 56.86278, "loss": 1.00222, "time": 0.40525} +{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 12989, "data_time": 0.00641, "decode.loss_seg": 0.60034, "decode.acc_seg": 62.50157, "aux.loss_seg": 0.35301, "aux.acc_seg": 56.17395, "loss": 0.95335, "time": 0.40492} +{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 0.5994, "decode.acc_seg": 63.49001, "aux.loss_seg": 0.35818, "aux.acc_seg": 56.40126, "loss": 0.95759, "time": 0.40322} +{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 12989, "data_time": 0.00636, "decode.loss_seg": 0.62769, "decode.acc_seg": 62.91158, "aux.loss_seg": 0.37832, "aux.acc_seg": 56.39516, "loss": 1.00601, "time": 0.41168} +{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 12989, "data_time": 0.00643, "decode.loss_seg": 0.64854, "decode.acc_seg": 61.23045, "aux.loss_seg": 0.3815, "aux.acc_seg": 54.2954, "loss": 1.03004, "time": 0.40538} +{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 0.62697, "decode.acc_seg": 62.91438, "aux.loss_seg": 0.37419, "aux.acc_seg": 55.97893, "loss": 1.00116, "time": 0.40257} +{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.60552, "decode.acc_seg": 62.21172, "aux.loss_seg": 0.35949, "aux.acc_seg": 55.41447, "loss": 0.96501, "time": 0.4036} +{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.60774, "decode.acc_seg": 61.01882, "aux.loss_seg": 0.36021, "aux.acc_seg": 54.30997, "loss": 0.96795, "time": 0.40305} +{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.60279, "decode.acc_seg": 61.82758, "aux.loss_seg": 0.35276, "aux.acc_seg": 56.41533, "loss": 0.95554, "time": 0.40325} +{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 12989, "data_time": 0.23128, "decode.loss_seg": 0.63531, "decode.acc_seg": 60.85041, "aux.loss_seg": 0.37604, "aux.acc_seg": 54.2959, "loss": 1.01135, "time": 0.64497} +{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.58859, "decode.acc_seg": 64.19202, "aux.loss_seg": 0.35162, "aux.acc_seg": 58.20643, "loss": 0.94021, "time": 0.40176} +{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.59941, "decode.acc_seg": 62.62608, "aux.loss_seg": 0.3657, "aux.acc_seg": 55.61011, "loss": 0.96511, "time": 0.40429} +{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 0.6038, "decode.acc_seg": 62.56645, "aux.loss_seg": 0.36101, "aux.acc_seg": 56.12513, "loss": 0.96481, "time": 0.41313} +{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.60007, "decode.acc_seg": 62.36094, "aux.loss_seg": 0.35361, "aux.acc_seg": 56.51217, "loss": 0.95368, "time": 0.41187} +{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 12989, "data_time": 0.00626, "decode.loss_seg": 0.61287, "decode.acc_seg": 61.62155, "aux.loss_seg": 0.35951, "aux.acc_seg": 55.37971, "loss": 0.97238, "time": 0.41018} +{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.6118, "decode.acc_seg": 63.21259, "aux.loss_seg": 0.36644, "aux.acc_seg": 56.85818, "loss": 0.97824, "time": 0.40529} +{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.61696, "decode.acc_seg": 62.99776, "aux.loss_seg": 0.36207, "aux.acc_seg": 56.54885, "loss": 0.97903, "time": 0.40368} +{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.559, "decode.acc_seg": 63.02233, "aux.loss_seg": 0.34378, "aux.acc_seg": 56.41711, "loss": 0.90279, "time": 0.40843} +{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 12989, "data_time": 0.00617, "decode.loss_seg": 0.5855, "decode.acc_seg": 63.36886, "aux.loss_seg": 0.35844, "aux.acc_seg": 56.68675, "loss": 0.94394, "time": 0.40745} +{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.62744, "decode.acc_seg": 61.82056, "aux.loss_seg": 0.36975, "aux.acc_seg": 55.2648, "loss": 0.99718, "time": 0.4096} +{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.59601, "decode.acc_seg": 62.87846, "aux.loss_seg": 0.36403, "aux.acc_seg": 55.56265, "loss": 0.96004, "time": 0.40067} +{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.63396, "decode.acc_seg": 62.57776, "aux.loss_seg": 0.37849, "aux.acc_seg": 55.70987, "loss": 1.01244, "time": 0.399} +{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.61948, "decode.acc_seg": 62.33975, "aux.loss_seg": 0.36459, "aux.acc_seg": 55.87937, "loss": 0.98407, "time": 0.39925} +{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 12989, "data_time": 0.00596, "decode.loss_seg": 0.57853, "decode.acc_seg": 63.53967, "aux.loss_seg": 0.34856, "aux.acc_seg": 56.90493, "loss": 0.9271, "time": 0.40873} +{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.59944, "decode.acc_seg": 62.62496, "aux.loss_seg": 0.36435, "aux.acc_seg": 55.6033, "loss": 0.96379, "time": 0.40243} +{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 12989, "data_time": 0.00576, "decode.loss_seg": 0.6179, "decode.acc_seg": 61.79359, "aux.loss_seg": 0.36682, "aux.acc_seg": 55.22579, "loss": 0.98471, "time": 0.39907} +{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.59275, "decode.acc_seg": 64.30006, "aux.loss_seg": 0.35483, "aux.acc_seg": 57.84087, "loss": 0.94757, "time": 0.39822} +{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 12989, "data_time": 0.00605, "decode.loss_seg": 0.5935, "decode.acc_seg": 63.08879, "aux.loss_seg": 0.35312, "aux.acc_seg": 56.84124, "loss": 0.94662, "time": 0.40237} +{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.62601, "decode.acc_seg": 65.03402, "aux.loss_seg": 0.36628, "aux.acc_seg": 58.63048, "loss": 0.99229, "time": 0.40213} +{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 12989, "data_time": 0.00601, "decode.loss_seg": 0.60334, "decode.acc_seg": 63.40017, "aux.loss_seg": 0.36111, "aux.acc_seg": 56.89431, "loss": 0.96445, "time": 0.402} +{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 12989, "data_time": 0.00683, "decode.loss_seg": 0.60198, "decode.acc_seg": 62.79343, "aux.loss_seg": 0.34842, "aux.acc_seg": 56.65438, "loss": 0.9504, "time": 0.40402} +{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.61085, "decode.acc_seg": 61.96543, "aux.loss_seg": 0.35197, "aux.acc_seg": 56.08135, "loss": 0.96282, "time": 0.41855} +{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.56913, "decode.acc_seg": 62.84416, "aux.loss_seg": 0.34887, "aux.acc_seg": 56.34796, "loss": 0.918, "time": 0.40203} +{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 12989, "data_time": 0.00581, "decode.loss_seg": 0.59315, "decode.acc_seg": 62.59966, "aux.loss_seg": 0.36409, "aux.acc_seg": 55.63153, "loss": 0.95724, "time": 0.40241} +{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.6031, "decode.acc_seg": 62.75025, "aux.loss_seg": 0.36173, "aux.acc_seg": 56.25088, "loss": 0.96483, "time": 0.39858} +{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 12989, "data_time": 0.24501, "decode.loss_seg": 0.58359, "decode.acc_seg": 64.02403, "aux.loss_seg": 0.35176, "aux.acc_seg": 57.67403, "loss": 0.93535, "time": 0.64142} +{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.57294, "decode.acc_seg": 64.69461, "aux.loss_seg": 0.34849, "aux.acc_seg": 58.42655, "loss": 0.92143, "time": 0.40087} +{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 0.58014, "decode.acc_seg": 63.61146, "aux.loss_seg": 0.34702, "aux.acc_seg": 57.5139, "loss": 0.92715, "time": 0.40451} +{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.55974, "decode.acc_seg": 64.58809, "aux.loss_seg": 0.34433, "aux.acc_seg": 57.75431, "loss": 0.90407, "time": 0.40814} +{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.63253, "decode.acc_seg": 63.11273, "aux.loss_seg": 0.36607, "aux.acc_seg": 56.48906, "loss": 0.9986, "time": 0.41461} +{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 0.56376, "decode.acc_seg": 61.98657, "aux.loss_seg": 0.34118, "aux.acc_seg": 55.9583, "loss": 0.90494, "time": 0.41904} +{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 12989, "data_time": 0.00634, "decode.loss_seg": 0.59416, "decode.acc_seg": 61.4304, "aux.loss_seg": 0.3516, "aux.acc_seg": 55.29383, "loss": 0.94575, "time": 0.41473} +{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 12989, "data_time": 0.00661, "decode.loss_seg": 0.61839, "decode.acc_seg": 63.70026, "aux.loss_seg": 0.36204, "aux.acc_seg": 57.26584, "loss": 0.98044, "time": 0.40983} +{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 12989, "data_time": 0.00619, "decode.loss_seg": 0.55742, "decode.acc_seg": 62.79792, "aux.loss_seg": 0.3389, "aux.acc_seg": 56.17812, "loss": 0.89632, "time": 0.40762} +{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.59523, "decode.acc_seg": 64.37957, "aux.loss_seg": 0.36216, "aux.acc_seg": 57.3618, "loss": 0.95739, "time": 0.40694} +{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.5934, "decode.acc_seg": 61.38522, "aux.loss_seg": 0.34883, "aux.acc_seg": 55.62639, "loss": 0.94223, "time": 0.41349} +{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 12989, "data_time": 0.00647, "decode.loss_seg": 0.60081, "decode.acc_seg": 62.17461, "aux.loss_seg": 0.34496, "aux.acc_seg": 56.71958, "loss": 0.94576, "time": 0.41096} +{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.59757, "decode.acc_seg": 63.53631, "aux.loss_seg": 0.35558, "aux.acc_seg": 57.01391, "loss": 0.95315, "time": 0.40297} +{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 12989, "data_time": 0.00619, "decode.loss_seg": 0.60088, "decode.acc_seg": 61.78766, "aux.loss_seg": 0.35695, "aux.acc_seg": 55.1966, "loss": 0.95783, "time": 0.41015} +{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.5966, "decode.acc_seg": 61.55953, "aux.loss_seg": 0.35266, "aux.acc_seg": 55.42177, "loss": 0.94927, "time": 0.40427} +{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 12989, "data_time": 0.00609, "decode.loss_seg": 0.57987, "decode.acc_seg": 63.14045, "aux.loss_seg": 0.34689, "aux.acc_seg": 56.53905, "loss": 0.92676, "time": 0.40494} +{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.3971, "mAcc": 0.5315, "aAcc": 0.7861, "IoU.wall": 0.7031, "IoU.building": 0.7926, "IoU.sky": 0.9348, "IoU.floor": 0.7684, "IoU.tree": 0.7118, "IoU.ceiling": 0.7974, "IoU.road": 0.7814, "IoU.bed ": 0.8008, "IoU.windowpane": 0.5463, "IoU.grass": 0.661, "IoU.cabinet": 0.5257, "IoU.sidewalk": 0.5643, "IoU.person": 0.7371, "IoU.earth": 0.3498, "IoU.door": 0.2779, "IoU.table": 0.4413, "IoU.mountain": 0.5762, "IoU.plant": 0.4656, "IoU.curtain": 0.5822, "IoU.chair": 0.4372, "IoU.car": 0.8027, "IoU.water": 0.5398, "IoU.painting": 0.6139, "IoU.sofa": 0.4615, "IoU.shelf": 0.3496, "IoU.house": 0.5126, "IoU.sea": 0.653, "IoU.mirror": 0.4673, "IoU.rug": 0.6058, "IoU.field": 0.3148, "IoU.armchair": 0.2837, "IoU.seat": 0.5766, "IoU.fence": 0.4194, "IoU.desk": 0.3494, "IoU.rock": 0.4039, "IoU.wardrobe": 0.4391, "IoU.lamp": 0.4571, "IoU.bathtub": 0.6623, "IoU.railing": 0.2977, "IoU.cushion": 0.3732, "IoU.base": 0.1876, "IoU.box": 0.1927, "IoU.column": 0.3535, "IoU.signboard": 0.312, "IoU.chest of drawers": 0.2956, "IoU.counter": 0.3477, "IoU.sand": 0.3615, "IoU.sink": 0.5146, "IoU.skyscraper": 0.5048, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5468, "IoU.grandstand": 0.3716, "IoU.path": 0.2146, "IoU.stairs": 0.3041, "IoU.runway": 0.6889, "IoU.case": 0.4976, "IoU.pool table": 0.8426, "IoU.pillow": 0.4602, "IoU.screen door": 0.4068, "IoU.stairway": 0.3355, "IoU.river": 0.2067, "IoU.bridge": 0.5091, "IoU.bookcase": 0.3193, "IoU.blind": NaN, "IoU.coffee table": 0.4283, "IoU.toilet": 0.6677, "IoU.flower": 0.3115, "IoU.book": 0.4162, "IoU.hill": 0.0976, "IoU.bench": 0.3306, "IoU.countertop": 0.4914, "IoU.stove": 0.5173, "IoU.palm": 0.3855, "IoU.kitchen island": 0.1907, "IoU.computer": 0.5006, "IoU.swivel chair": 0.3526, "IoU.boat": 0.462, "IoU.bar": 0.3093, "IoU.arcade machine": 0.5941, "IoU.hovel": 0.4622, "IoU.bus": 0.7449, "IoU.towel": 0.5036, "IoU.light": 0.404, "IoU.truck": 0.1018, "IoU.tower": 0.2907, "IoU.chandelier": 0.5435, "IoU.awning": 0.1905, "IoU.streetlight": 0.1154, "IoU.booth": 0.4932, "IoU.television receiver": NaN, "IoU.airplane": 0.4911, "IoU.dirt track": 0.0071, "IoU.apparel": 0.2565, "IoU.pole": 0.1067, "IoU.land": 0.0001, "IoU.bannister": 0.0079, "IoU.escalator": 0.3241, "IoU.ottoman": 0.1992, "IoU.bottle": NaN, "IoU.buffet": 0.3535, "IoU.poster": 0.0669, "IoU.stage": 0.0973, "IoU.van": 0.3624, "IoU.ship": 0.7795, "IoU.fountain": 0.2601, "IoU.conveyer belt": 0.5288, "IoU.canopy": 0.166, "IoU.washer": 0.6584, "IoU.plaything": 0.1723, "IoU.swimming pool": 0.4636, "IoU.stool": 0.0985, "IoU.barrel": 0.4335, "IoU.basket": 0.2251, "IoU.waterfall": 0.5964, "IoU.tent": 0.7841, "IoU.bag": 0.0408, "IoU.minibike": 0.6335, "IoU.cradle": NaN, "IoU.oven": 0.0386, "IoU.ball": 0.4232, "IoU.food": 0.5367, "IoU.step": 0.0381, "IoU.tank": 0.4436, "IoU.trade name": 0.1889, "IoU.microwave": 0.7048, "IoU.pot": 0.4121, "IoU.animal": NaN, "IoU.bicycle": 0.4424, "IoU.lake": 0.0, "IoU.dishwasher": 0.2888, "IoU.screen": 0.5569, "IoU.blanket": 0.0028, "IoU.sculpture": 0.3756, "IoU.hood": 0.3203, "IoU.sconce": 0.1543, "IoU.vase": 0.1945, "IoU.traffic light": 0.1255, "IoU.tray": 0.004, "IoU.ashcan": 0.1964, "IoU.fan": 0.3295, "IoU.pier": 0.5849, "IoU.crt screen": 0.0151, "IoU.plate": 0.428, "IoU.monitor": 0.421, "IoU.bulletin board": 0.3037, "IoU.shower": 0.0, "IoU.radiator": 0.4336, "IoU.glass": 0.0314, "IoU.clock": 0.1179, "IoU.flag": 0.243, "Acc.wall": 0.8223, "Acc.building": 0.8961, "Acc.sky": 0.9692, "Acc.floor": 0.8678, "Acc.tree": 0.873, "Acc.ceiling": 0.8782, "Acc.road": 0.8577, "Acc.bed ": 0.9109, "Acc.windowpane": 0.7803, "Acc.grass": 0.7933, "Acc.cabinet": 0.7172, "Acc.sidewalk": 0.7022, "Acc.person": 0.8814, "Acc.earth": 0.4943, "Acc.door": 0.347, "Acc.table": 0.6309, "Acc.mountain": 0.71, "Acc.plant": 0.5666, "Acc.curtain": 0.8562, "Acc.chair": 0.6419, "Acc.car": 0.886, "Acc.water": 0.7111, "Acc.painting": 0.8241, "Acc.sofa": 0.5577, "Acc.shelf": 0.5903, "Acc.house": 0.7131, "Acc.sea": 0.8481, "Acc.mirror": 0.6843, "Acc.rug": 0.7234, "Acc.field": 0.5751, "Acc.armchair": 0.5084, "Acc.seat": 0.7172, "Acc.fence": 0.6247, "Acc.desk": 0.4929, "Acc.rock": 0.6316, "Acc.wardrobe": 0.6297, "Acc.lamp": 0.6283, "Acc.bathtub": 0.765, "Acc.railing": 0.3547, "Acc.cushion": 0.4761, "Acc.base": 0.2337, "Acc.box": 0.3014, "Acc.column": 0.4621, "Acc.signboard": 0.4311, "Acc.chest of drawers": 0.3806, "Acc.counter": 0.5126, "Acc.sand": 0.4967, "Acc.sink": 0.5884, "Acc.skyscraper": 0.7031, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7445, "Acc.grandstand": 0.6282, "Acc.path": 0.3423, "Acc.stairs": 0.351, "Acc.runway": 0.9493, "Acc.case": 0.7055, "Acc.pool table": 0.961, "Acc.pillow": 0.6633, "Acc.screen door": 0.8515, "Acc.stairway": 0.4724, "Acc.river": 0.3088, "Acc.bridge": 0.8287, "Acc.bookcase": 0.4293, "Acc.blind": NaN, "Acc.coffee table": 0.7323, "Acc.toilet": 0.8541, "Acc.flower": 0.4573, "Acc.book": 0.6485, "Acc.hill": 0.1449, "Acc.bench": 0.448, "Acc.countertop": 0.7066, "Acc.stove": 0.8423, "Acc.palm": 0.603, "Acc.kitchen island": 0.5139, "Acc.computer": 0.6571, "Acc.swivel chair": 0.5532, "Acc.boat": 0.7436, "Acc.bar": 0.3547, "Acc.arcade machine": 0.8106, "Acc.hovel": 0.5687, "Acc.bus": 0.9555, "Acc.towel": 0.6283, "Acc.light": 0.451, "Acc.truck": 0.159, "Acc.tower": 0.4509, "Acc.chandelier": 0.7872, "Acc.awning": 0.2157, "Acc.streetlight": 0.1368, "Acc.booth": 0.6437, "Acc.television receiver": NaN, "Acc.airplane": 0.5887, "Acc.dirt track": 0.0111, "Acc.apparel": 0.4875, "Acc.pole": 0.1461, "Acc.land": 0.0001, "Acc.bannister": 0.0105, "Acc.escalator": 0.4438, "Acc.ottoman": 0.2516, "Acc.bottle": NaN, "Acc.buffet": 0.3956, "Acc.poster": 0.0744, "Acc.stage": 0.1686, "Acc.van": 0.4253, "Acc.ship": 0.9659, "Acc.fountain": 0.2805, "Acc.conveyer belt": 0.867, "Acc.canopy": 0.2161, "Acc.washer": 0.7149, "Acc.plaything": 0.3258, "Acc.swimming pool": 0.8987, "Acc.stool": 0.1241, "Acc.barrel": 0.6421, "Acc.basket": 0.3439, "Acc.waterfall": 0.9419, "Acc.tent": 0.9931, "Acc.bag": 0.0411, "Acc.minibike": 0.8532, "Acc.cradle": NaN, "Acc.oven": 0.0422, "Acc.ball": 0.4988, "Acc.food": 0.6414, "Acc.step": 0.0401, "Acc.tank": 0.6024, "Acc.trade name": 0.203, "Acc.microwave": 0.8275, "Acc.pot": 0.4607, "Acc.animal": NaN, "Acc.bicycle": 0.6357, "Acc.lake": 0.0, "Acc.dishwasher": 0.3324, "Acc.screen": 0.8059, "Acc.blanket": 0.0029, "Acc.sculpture": 0.4475, "Acc.hood": 0.4206, "Acc.sconce": 0.1722, "Acc.vase": 0.3255, "Acc.traffic light": 0.1864, "Acc.tray": 0.0045, "Acc.ashcan": 0.2678, "Acc.fan": 0.3968, "Acc.pier": 0.7948, "Acc.crt screen": 0.0167, "Acc.plate": 0.7001, "Acc.monitor": 0.7065, "Acc.bulletin board": 0.3603, "Acc.shower": 0.0, "Acc.radiator": 0.4532, "Acc.glass": 0.0327, "Acc.clock": 0.1285, "Acc.flag": 0.2711} +{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 17837, "data_time": 3.75507, "decode.loss_seg": 0.58355, "decode.acc_seg": 63.65327, "aux.loss_seg": 0.35121, "aux.acc_seg": 57.03354, "loss": 0.93476, "time": 4.15769} +{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.60696, "decode.acc_seg": 63.40186, "aux.loss_seg": 0.36069, "aux.acc_seg": 56.77019, "loss": 0.96765, "time": 0.40338} +{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 17837, "data_time": 0.00549, "decode.loss_seg": 0.58118, "decode.acc_seg": 63.38066, "aux.loss_seg": 0.34889, "aux.acc_seg": 56.95051, "loss": 0.93007, "time": 0.40685} +{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.59066, "decode.acc_seg": 63.13944, "aux.loss_seg": 0.35937, "aux.acc_seg": 56.79063, "loss": 0.95003, "time": 0.4009} +{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 17837, "data_time": 0.00556, "decode.loss_seg": 0.59293, "decode.acc_seg": 62.7592, "aux.loss_seg": 0.34797, "aux.acc_seg": 56.39733, "loss": 0.9409, "time": 0.40075} +{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 17837, "data_time": 0.00557, "decode.loss_seg": 0.59789, "decode.acc_seg": 62.74666, "aux.loss_seg": 0.35141, "aux.acc_seg": 56.36367, "loss": 0.9493, "time": 0.40278} +{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 17837, "data_time": 0.00563, "decode.loss_seg": 0.57631, "decode.acc_seg": 62.29044, "aux.loss_seg": 0.3439, "aux.acc_seg": 55.95459, "loss": 0.92021, "time": 0.40551} +{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.58543, "decode.acc_seg": 64.36363, "aux.loss_seg": 0.34331, "aux.acc_seg": 58.43342, "loss": 0.92874, "time": 0.40193} +{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 17837, "data_time": 0.25003, "decode.loss_seg": 0.57205, "decode.acc_seg": 63.999, "aux.loss_seg": 0.33496, "aux.acc_seg": 57.9348, "loss": 0.90701, "time": 0.64524} +{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.57676, "decode.acc_seg": 63.72324, "aux.loss_seg": 0.3494, "aux.acc_seg": 57.38058, "loss": 0.92617, "time": 0.40621} +{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.5842, "decode.acc_seg": 64.04188, "aux.loss_seg": 0.354, "aux.acc_seg": 57.87306, "loss": 0.93819, "time": 0.40875} +{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.57999, "decode.acc_seg": 61.80953, "aux.loss_seg": 0.34882, "aux.acc_seg": 55.2902, "loss": 0.92881, "time": 0.40406} +{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.54898, "decode.acc_seg": 64.02165, "aux.loss_seg": 0.34703, "aux.acc_seg": 56.85059, "loss": 0.89601, "time": 0.40336} +{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.56729, "decode.acc_seg": 63.47633, "aux.loss_seg": 0.3545, "aux.acc_seg": 56.16108, "loss": 0.92178, "time": 0.40174} +{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.56765, "decode.acc_seg": 63.43167, "aux.loss_seg": 0.34161, "aux.acc_seg": 57.1045, "loss": 0.90926, "time": 0.40514} +{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.54411, "decode.acc_seg": 62.958, "aux.loss_seg": 0.32733, "aux.acc_seg": 56.83058, "loss": 0.87144, "time": 0.40335} +{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.55755, "decode.acc_seg": 63.44255, "aux.loss_seg": 0.33743, "aux.acc_seg": 57.37464, "loss": 0.89498, "time": 0.40239} +{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.57825, "decode.acc_seg": 62.92309, "aux.loss_seg": 0.34634, "aux.acc_seg": 56.58395, "loss": 0.92459, "time": 0.40018} +{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.57811, "decode.acc_seg": 63.1562, "aux.loss_seg": 0.35182, "aux.acc_seg": 56.60546, "loss": 0.92993, "time": 0.40044} +{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.57037, "decode.acc_seg": 64.30932, "aux.loss_seg": 0.34045, "aux.acc_seg": 58.04533, "loss": 0.91082, "time": 0.39618} +{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.5799, "decode.acc_seg": 64.0783, "aux.loss_seg": 0.3522, "aux.acc_seg": 57.0041, "loss": 0.93211, "time": 0.39936} +{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.58629, "decode.acc_seg": 61.73354, "aux.loss_seg": 0.34981, "aux.acc_seg": 55.43423, "loss": 0.93609, "time": 0.39849} +{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.59869, "decode.acc_seg": 63.38177, "aux.loss_seg": 0.34648, "aux.acc_seg": 57.33887, "loss": 0.94517, "time": 0.41177} +{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.61585, "decode.acc_seg": 62.28768, "aux.loss_seg": 0.35792, "aux.acc_seg": 55.8098, "loss": 0.97376, "time": 0.40172} +{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.57245, "decode.acc_seg": 62.56173, "aux.loss_seg": 0.34423, "aux.acc_seg": 56.36026, "loss": 0.91668, "time": 0.40825} +{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.59694, "decode.acc_seg": 63.05044, "aux.loss_seg": 0.35777, "aux.acc_seg": 56.54043, "loss": 0.95471, "time": 0.4064} +{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.55856, "decode.acc_seg": 63.87541, "aux.loss_seg": 0.33412, "aux.acc_seg": 57.78254, "loss": 0.89268, "time": 0.40294} +{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.55778, "decode.acc_seg": 64.04912, "aux.loss_seg": 0.33907, "aux.acc_seg": 57.51149, "loss": 0.89685, "time": 0.41487} +{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.55301, "decode.acc_seg": 64.09262, "aux.loss_seg": 0.33001, "aux.acc_seg": 57.69325, "loss": 0.88302, "time": 0.40176} +{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.59687, "decode.acc_seg": 62.57223, "aux.loss_seg": 0.3584, "aux.acc_seg": 56.00118, "loss": 0.95527, "time": 0.4025} +{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.55057, "decode.acc_seg": 61.96813, "aux.loss_seg": 0.33574, "aux.acc_seg": 55.34244, "loss": 0.88631, "time": 0.40071} +{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.57274, "decode.acc_seg": 63.48699, "aux.loss_seg": 0.33631, "aux.acc_seg": 57.6676, "loss": 0.90905, "time": 0.40148} +{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.554, "decode.acc_seg": 63.45472, "aux.loss_seg": 0.32946, "aux.acc_seg": 57.14118, "loss": 0.88346, "time": 0.40359} +{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 17837, "data_time": 0.2489, "decode.loss_seg": 0.57024, "decode.acc_seg": 64.48946, "aux.loss_seg": 0.34259, "aux.acc_seg": 58.81645, "loss": 0.91283, "time": 0.6424} +{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.59361, "decode.acc_seg": 61.52275, "aux.loss_seg": 0.35519, "aux.acc_seg": 54.98913, "loss": 0.9488, "time": 0.40105} +{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.58083, "decode.acc_seg": 62.42855, "aux.loss_seg": 0.3407, "aux.acc_seg": 56.65667, "loss": 0.92153, "time": 0.4091} +{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.56698, "decode.acc_seg": 64.11894, "aux.loss_seg": 0.33828, "aux.acc_seg": 57.45161, "loss": 0.90526, "time": 0.40639} +{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.5589, "decode.acc_seg": 63.7866, "aux.loss_seg": 0.33264, "aux.acc_seg": 57.57795, "loss": 0.89154, "time": 0.40549} +{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.54837, "decode.acc_seg": 63.54913, "aux.loss_seg": 0.35114, "aux.acc_seg": 55.9514, "loss": 0.89951, "time": 0.41512} +{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.5279, "decode.acc_seg": 65.22093, "aux.loss_seg": 0.33343, "aux.acc_seg": 58.59539, "loss": 0.86133, "time": 0.40057} +{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 17837, "data_time": 0.00687, "decode.loss_seg": 0.56692, "decode.acc_seg": 63.64889, "aux.loss_seg": 0.34288, "aux.acc_seg": 57.15152, "loss": 0.9098, "time": 0.40175} +{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.5666, "decode.acc_seg": 65.04972, "aux.loss_seg": 0.34374, "aux.acc_seg": 58.51543, "loss": 0.91034, "time": 0.40818} +{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.55813, "decode.acc_seg": 64.6878, "aux.loss_seg": 0.33433, "aux.acc_seg": 58.21515, "loss": 0.89247, "time": 0.40367} +{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.53515, "decode.acc_seg": 63.74826, "aux.loss_seg": 0.33071, "aux.acc_seg": 56.78423, "loss": 0.86586, "time": 0.41121} +{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.57884, "decode.acc_seg": 63.22744, "aux.loss_seg": 0.34208, "aux.acc_seg": 57.22341, "loss": 0.92091, "time": 0.40839} +{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.55976, "decode.acc_seg": 63.03174, "aux.loss_seg": 0.33813, "aux.acc_seg": 56.5748, "loss": 0.89789, "time": 0.40402} +{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.57807, "decode.acc_seg": 63.75275, "aux.loss_seg": 0.35094, "aux.acc_seg": 57.33454, "loss": 0.92902, "time": 0.40548} +{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 17837, "data_time": 0.00666, "decode.loss_seg": 0.5404, "decode.acc_seg": 63.18533, "aux.loss_seg": 0.32555, "aux.acc_seg": 57.11327, "loss": 0.86595, "time": 0.42078} +{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.55837, "decode.acc_seg": 62.41596, "aux.loss_seg": 0.33885, "aux.acc_seg": 55.4193, "loss": 0.89722, "time": 0.40095} +{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.55165, "decode.acc_seg": 63.07564, "aux.loss_seg": 0.34159, "aux.acc_seg": 56.32698, "loss": 0.89324, "time": 0.40386} +{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.57603, "decode.acc_seg": 64.56394, "aux.loss_seg": 0.34916, "aux.acc_seg": 57.90973, "loss": 0.92519, "time": 0.40715} +{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.54036, "decode.acc_seg": 63.01776, "aux.loss_seg": 0.32157, "aux.acc_seg": 57.13629, "loss": 0.86193, "time": 0.40783} +{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.56089, "decode.acc_seg": 64.20345, "aux.loss_seg": 0.346, "aux.acc_seg": 57.5664, "loss": 0.90689, "time": 0.41003} +{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.59133, "decode.acc_seg": 63.11404, "aux.loss_seg": 0.34714, "aux.acc_seg": 56.87556, "loss": 0.93846, "time": 0.40781} +{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.57597, "decode.acc_seg": 64.06939, "aux.loss_seg": 0.33865, "aux.acc_seg": 57.88054, "loss": 0.91461, "time": 0.40104} +{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.56066, "decode.acc_seg": 63.78282, "aux.loss_seg": 0.32445, "aux.acc_seg": 58.26757, "loss": 0.88511, "time": 0.40078} +{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.56182, "decode.acc_seg": 64.43823, "aux.loss_seg": 0.33657, "aux.acc_seg": 58.28156, "loss": 0.89839, "time": 0.405} +{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.57117, "decode.acc_seg": 63.6093, "aux.loss_seg": 0.33729, "aux.acc_seg": 57.53459, "loss": 0.90846, "time": 0.41177} +{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 17837, "data_time": 0.24891, "decode.loss_seg": 0.52411, "decode.acc_seg": 64.42517, "aux.loss_seg": 0.32001, "aux.acc_seg": 57.84881, "loss": 0.84411, "time": 0.64614} +{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.55758, "decode.acc_seg": 64.06719, "aux.loss_seg": 0.34421, "aux.acc_seg": 56.88781, "loss": 0.9018, "time": 0.40133} +{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.51614, "decode.acc_seg": 64.16656, "aux.loss_seg": 0.32398, "aux.acc_seg": 57.80835, "loss": 0.84013, "time": 0.40239} +{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.54054, "decode.acc_seg": 65.07244, "aux.loss_seg": 0.33357, "aux.acc_seg": 59.06558, "loss": 0.87411, "time": 0.40523} +{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.55185, "decode.acc_seg": 63.41286, "aux.loss_seg": 0.33345, "aux.acc_seg": 56.86158, "loss": 0.8853, "time": 0.40853} +{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.53516, "decode.acc_seg": 64.14013, "aux.loss_seg": 0.33253, "aux.acc_seg": 57.00955, "loss": 0.86769, "time": 0.40356} +{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.57006, "decode.acc_seg": 65.33881, "aux.loss_seg": 0.33891, "aux.acc_seg": 58.83512, "loss": 0.90898, "time": 0.39976} +{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.5784, "decode.acc_seg": 63.69992, "aux.loss_seg": 0.3485, "aux.acc_seg": 57.05065, "loss": 0.9269, "time": 0.40254} +{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.54096, "decode.acc_seg": 63.84531, "aux.loss_seg": 0.33685, "aux.acc_seg": 56.88184, "loss": 0.87781, "time": 0.41371} +{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.56065, "decode.acc_seg": 65.03539, "aux.loss_seg": 0.33076, "aux.acc_seg": 58.93246, "loss": 0.8914, "time": 0.40517} +{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.58421, "decode.acc_seg": 64.26383, "aux.loss_seg": 0.34951, "aux.acc_seg": 57.99302, "loss": 0.93372, "time": 0.40429} +{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.53289, "decode.acc_seg": 64.81623, "aux.loss_seg": 0.33668, "aux.acc_seg": 57.55236, "loss": 0.86957, "time": 0.40109} +{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.55122, "decode.acc_seg": 63.45435, "aux.loss_seg": 0.33625, "aux.acc_seg": 56.69178, "loss": 0.88747, "time": 0.40249} +{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.53424, "decode.acc_seg": 63.38623, "aux.loss_seg": 0.32302, "aux.acc_seg": 57.24656, "loss": 0.85726, "time": 0.4153} +{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.54283, "decode.acc_seg": 64.20763, "aux.loss_seg": 0.3379, "aux.acc_seg": 57.30134, "loss": 0.88073, "time": 0.40376} +{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 17837, "data_time": 0.00698, "decode.loss_seg": 0.53398, "decode.acc_seg": 64.24726, "aux.loss_seg": 0.31388, "aux.acc_seg": 58.50781, "loss": 0.84786, "time": 0.402} +{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.53532, "decode.acc_seg": 64.18293, "aux.loss_seg": 0.32597, "aux.acc_seg": 57.57588, "loss": 0.8613, "time": 0.40011} +{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.55018, "decode.acc_seg": 63.91841, "aux.loss_seg": 0.33549, "aux.acc_seg": 57.7187, "loss": 0.88567, "time": 0.40381} +{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.54471, "decode.acc_seg": 64.28534, "aux.loss_seg": 0.3326, "aux.acc_seg": 57.51727, "loss": 0.87732, "time": 0.41603} +{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.58979, "decode.acc_seg": 62.78704, "aux.loss_seg": 0.35514, "aux.acc_seg": 55.85987, "loss": 0.94493, "time": 0.40219} +{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.54023, "decode.acc_seg": 63.72577, "aux.loss_seg": 0.32993, "aux.acc_seg": 57.29466, "loss": 0.87016, "time": 0.40173} +{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.55053, "decode.acc_seg": 64.27905, "aux.loss_seg": 0.32816, "aux.acc_seg": 57.89544, "loss": 0.87869, "time": 0.39588} +{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.5265, "decode.acc_seg": 65.44623, "aux.loss_seg": 0.32, "aux.acc_seg": 59.09795, "loss": 0.8465, "time": 0.3989} +{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.55775, "decode.acc_seg": 64.34452, "aux.loss_seg": 0.34112, "aux.acc_seg": 57.74411, "loss": 0.89887, "time": 0.40167} +{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.55338, "decode.acc_seg": 65.54928, "aux.loss_seg": 0.33441, "aux.acc_seg": 58.8209, "loss": 0.88779, "time": 0.40011} +{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.533, "decode.acc_seg": 64.4007, "aux.loss_seg": 0.31696, "aux.acc_seg": 58.6186, "loss": 0.84995, "time": 0.40379} +{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 17837, "data_time": 0.2499, "decode.loss_seg": 0.56466, "decode.acc_seg": 63.85729, "aux.loss_seg": 0.33719, "aux.acc_seg": 58.0022, "loss": 0.90185, "time": 0.64824} +{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.5246, "decode.acc_seg": 64.84615, "aux.loss_seg": 0.32509, "aux.acc_seg": 58.04319, "loss": 0.84969, "time": 0.41285} +{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.55426, "decode.acc_seg": 65.46328, "aux.loss_seg": 0.33827, "aux.acc_seg": 58.72503, "loss": 0.89253, "time": 0.41344} +{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.52171, "decode.acc_seg": 65.17468, "aux.loss_seg": 0.31718, "aux.acc_seg": 59.23618, "loss": 0.83889, "time": 0.40429} +{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 17837, "data_time": 0.0067, "decode.loss_seg": 0.50613, "decode.acc_seg": 65.02412, "aux.loss_seg": 0.30981, "aux.acc_seg": 58.49951, "loss": 0.81594, "time": 0.40888} +{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.55483, "decode.acc_seg": 62.91653, "aux.loss_seg": 0.32774, "aux.acc_seg": 57.25075, "loss": 0.88257, "time": 0.40773} +{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.55508, "decode.acc_seg": 63.30996, "aux.loss_seg": 0.33811, "aux.acc_seg": 56.84267, "loss": 0.89319, "time": 0.40143} +{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.54503, "decode.acc_seg": 64.94904, "aux.loss_seg": 0.3349, "aux.acc_seg": 58.56938, "loss": 0.87993, "time": 0.41001} +{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.52428, "decode.acc_seg": 64.69194, "aux.loss_seg": 0.32265, "aux.acc_seg": 58.3242, "loss": 0.84692, "time": 0.40656} +{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.51427, "decode.acc_seg": 64.23796, "aux.loss_seg": 0.31591, "aux.acc_seg": 57.39375, "loss": 0.83018, "time": 0.40726} +{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 17837, "data_time": 0.00563, "decode.loss_seg": 0.55341, "decode.acc_seg": 64.21298, "aux.loss_seg": 0.33358, "aux.acc_seg": 57.62137, "loss": 0.88699, "time": 0.39965} +{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.51593, "decode.acc_seg": 62.93619, "aux.loss_seg": 0.32401, "aux.acc_seg": 56.45085, "loss": 0.83994, "time": 0.40054} +{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.56494, "decode.acc_seg": 63.7471, "aux.loss_seg": 0.3491, "aux.acc_seg": 56.48157, "loss": 0.91404, "time": 0.41967} +{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.53783, "decode.acc_seg": 63.51207, "aux.loss_seg": 0.31677, "aux.acc_seg": 57.52832, "loss": 0.8546, "time": 0.39492} +{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.55058, "decode.acc_seg": 64.37608, "aux.loss_seg": 0.33144, "aux.acc_seg": 57.9972, "loss": 0.88202, "time": 0.39499} +{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.53536, "decode.acc_seg": 63.77829, "aux.loss_seg": 0.32394, "aux.acc_seg": 57.40965, "loss": 0.8593, "time": 0.40317} +{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.51581, "decode.acc_seg": 62.87158, "aux.loss_seg": 0.31949, "aux.acc_seg": 56.69827, "loss": 0.83529, "time": 0.39697} +{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.55403, "decode.acc_seg": 61.64212, "aux.loss_seg": 0.33357, "aux.acc_seg": 55.6221, "loss": 0.8876, "time": 0.40151} +{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.54924, "decode.acc_seg": 63.49455, "aux.loss_seg": 0.3308, "aux.acc_seg": 57.24843, "loss": 0.88003, "time": 0.40245} +{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.54253, "decode.acc_seg": 63.87114, "aux.loss_seg": 0.32916, "aux.acc_seg": 57.17415, "loss": 0.87169, "time": 0.40659} +{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.5256, "decode.acc_seg": 64.38148, "aux.loss_seg": 0.32231, "aux.acc_seg": 57.69194, "loss": 0.84791, "time": 0.40364} +{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.52618, "decode.acc_seg": 65.27151, "aux.loss_seg": 0.31569, "aux.acc_seg": 59.16726, "loss": 0.84187, "time": 0.40423} +{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.52438, "decode.acc_seg": 64.83816, "aux.loss_seg": 0.32723, "aux.acc_seg": 57.72504, "loss": 0.85161, "time": 0.39778} +{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.52583, "decode.acc_seg": 63.518, "aux.loss_seg": 0.31929, "aux.acc_seg": 57.61555, "loss": 0.84512, "time": 0.39887} +{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.55854, "decode.acc_seg": 64.28302, "aux.loss_seg": 0.33254, "aux.acc_seg": 58.19225, "loss": 0.89108, "time": 0.40938} +{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 17837, "data_time": 0.24513, "decode.loss_seg": 0.56914, "decode.acc_seg": 62.95119, "aux.loss_seg": 0.34878, "aux.acc_seg": 56.23347, "loss": 0.91792, "time": 0.63705} +{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.51546, "decode.acc_seg": 63.77148, "aux.loss_seg": 0.31987, "aux.acc_seg": 57.29169, "loss": 0.83533, "time": 0.40982} +{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.51292, "decode.acc_seg": 63.3919, "aux.loss_seg": 0.32376, "aux.acc_seg": 56.12016, "loss": 0.83668, "time": 0.4079} +{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.51569, "decode.acc_seg": 65.27716, "aux.loss_seg": 0.32002, "aux.acc_seg": 58.89983, "loss": 0.83571, "time": 0.40339} +{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.50343, "decode.acc_seg": 64.51889, "aux.loss_seg": 0.31413, "aux.acc_seg": 57.99207, "loss": 0.81756, "time": 0.40202} +{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.50092, "decode.acc_seg": 64.06049, "aux.loss_seg": 0.30973, "aux.acc_seg": 57.52395, "loss": 0.81064, "time": 0.40728} +{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.50565, "decode.acc_seg": 64.86808, "aux.loss_seg": 0.30537, "aux.acc_seg": 58.59928, "loss": 0.81102, "time": 0.40016} +{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.52149, "decode.acc_seg": 64.57751, "aux.loss_seg": 0.33302, "aux.acc_seg": 57.12257, "loss": 0.85451, "time": 0.40189} +{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.55379, "decode.acc_seg": 65.41998, "aux.loss_seg": 0.34285, "aux.acc_seg": 58.76167, "loss": 0.89664, "time": 0.39775} +{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.5333, "decode.acc_seg": 64.19098, "aux.loss_seg": 0.32049, "aux.acc_seg": 58.38792, "loss": 0.85379, "time": 0.39662} +{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.54568, "decode.acc_seg": 64.7172, "aux.loss_seg": 0.33106, "aux.acc_seg": 58.28453, "loss": 0.87675, "time": 0.39609} +{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.55081, "decode.acc_seg": 64.61061, "aux.loss_seg": 0.33945, "aux.acc_seg": 57.78372, "loss": 0.89025, "time": 0.39761} +{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.51858, "decode.acc_seg": 65.41251, "aux.loss_seg": 0.33175, "aux.acc_seg": 57.69381, "loss": 0.85033, "time": 0.39801} +{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.51023, "decode.acc_seg": 65.36136, "aux.loss_seg": 0.32468, "aux.acc_seg": 58.38767, "loss": 0.83491, "time": 0.398} +{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.52658, "decode.acc_seg": 64.7903, "aux.loss_seg": 0.32099, "aux.acc_seg": 58.70907, "loss": 0.84757, "time": 0.40393} +{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.54738, "decode.acc_seg": 65.28357, "aux.loss_seg": 0.3345, "aux.acc_seg": 58.73894, "loss": 0.88188, "time": 0.39629} +{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.53969, "decode.acc_seg": 63.38409, "aux.loss_seg": 0.31697, "aux.acc_seg": 57.60503, "loss": 0.85666, "time": 0.39787} +{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.51565, "decode.acc_seg": 64.88839, "aux.loss_seg": 0.32606, "aux.acc_seg": 57.98849, "loss": 0.84171, "time": 0.39605} +{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.54091, "decode.acc_seg": 64.12993, "aux.loss_seg": 0.32455, "aux.acc_seg": 57.75187, "loss": 0.86546, "time": 0.4058} +{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.5458, "decode.acc_seg": 64.46031, "aux.loss_seg": 0.33265, "aux.acc_seg": 57.8984, "loss": 0.87844, "time": 0.39687} +{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.56607, "decode.acc_seg": 63.45558, "aux.loss_seg": 0.3401, "aux.acc_seg": 57.03038, "loss": 0.90617, "time": 0.40462} +{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.51163, "decode.acc_seg": 62.54639, "aux.loss_seg": 0.30747, "aux.acc_seg": 56.67523, "loss": 0.8191, "time": 0.40283} +{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.51895, "decode.acc_seg": 65.27549, "aux.loss_seg": 0.31937, "aux.acc_seg": 58.79043, "loss": 0.83832, "time": 0.39849} +{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.52836, "decode.acc_seg": 65.75712, "aux.loss_seg": 0.3253, "aux.acc_seg": 59.27103, "loss": 0.85366, "time": 0.40552} +{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.52702, "decode.acc_seg": 64.88801, "aux.loss_seg": 0.31886, "aux.acc_seg": 58.81491, "loss": 0.84588, "time": 0.39914} +{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 17837, "data_time": 0.24731, "decode.loss_seg": 0.53627, "decode.acc_seg": 64.54403, "aux.loss_seg": 0.33234, "aux.acc_seg": 57.4047, "loss": 0.86861, "time": 0.63631} +{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.49918, "decode.acc_seg": 64.17793, "aux.loss_seg": 0.31229, "aux.acc_seg": 57.7227, "loss": 0.81147, "time": 0.39748} +{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.50189, "decode.acc_seg": 65.01778, "aux.loss_seg": 0.31896, "aux.acc_seg": 57.96291, "loss": 0.82085, "time": 0.39799} +{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.47883, "decode.acc_seg": 64.83226, "aux.loss_seg": 0.30586, "aux.acc_seg": 58.46072, "loss": 0.78469, "time": 0.39996} +{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.49742, "decode.acc_seg": 65.97671, "aux.loss_seg": 0.31061, "aux.acc_seg": 59.76128, "loss": 0.80804, "time": 0.40002} +{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.50103, "decode.acc_seg": 64.98621, "aux.loss_seg": 0.30752, "aux.acc_seg": 58.62096, "loss": 0.80854, "time": 0.39918} +{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.5363, "decode.acc_seg": 64.06711, "aux.loss_seg": 0.3311, "aux.acc_seg": 57.36347, "loss": 0.8674, "time": 0.40434} +{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.4914, "decode.acc_seg": 64.72112, "aux.loss_seg": 0.30117, "aux.acc_seg": 58.58714, "loss": 0.79257, "time": 0.40233} +{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.51422, "decode.acc_seg": 65.42332, "aux.loss_seg": 0.32539, "aux.acc_seg": 58.65623, "loss": 0.83961, "time": 0.40194} +{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.52469, "decode.acc_seg": 64.87083, "aux.loss_seg": 0.32227, "aux.acc_seg": 57.94119, "loss": 0.84697, "time": 0.40474} +{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.51516, "decode.acc_seg": 65.36944, "aux.loss_seg": 0.32211, "aux.acc_seg": 58.51707, "loss": 0.83727, "time": 0.39578} +{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.52796, "decode.acc_seg": 65.28391, "aux.loss_seg": 0.32226, "aux.acc_seg": 58.79888, "loss": 0.85021, "time": 0.39529} +{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.51256, "decode.acc_seg": 65.48774, "aux.loss_seg": 0.32571, "aux.acc_seg": 58.40108, "loss": 0.83827, "time": 0.39562} +{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.50961, "decode.acc_seg": 65.77188, "aux.loss_seg": 0.3147, "aux.acc_seg": 59.95374, "loss": 0.82431, "time": 0.39815} +{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.51505, "decode.acc_seg": 64.92297, "aux.loss_seg": 0.3153, "aux.acc_seg": 58.5935, "loss": 0.83035, "time": 0.39817} +{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.5448, "decode.acc_seg": 63.87554, "aux.loss_seg": 0.33519, "aux.acc_seg": 57.33397, "loss": 0.87998, "time": 0.39437} +{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.54281, "decode.acc_seg": 64.53604, "aux.loss_seg": 0.33011, "aux.acc_seg": 58.06358, "loss": 0.87292, "time": 0.39741} +{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.51901, "decode.acc_seg": 64.71003, "aux.loss_seg": 0.3132, "aux.acc_seg": 58.66747, "loss": 0.83221, "time": 0.39848} +{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.52297, "decode.acc_seg": 63.30999, "aux.loss_seg": 0.31947, "aux.acc_seg": 56.90109, "loss": 0.84244, "time": 0.39602} +{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.49785, "decode.acc_seg": 65.42515, "aux.loss_seg": 0.30463, "aux.acc_seg": 59.11649, "loss": 0.80248, "time": 0.39729} +{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.50313, "decode.acc_seg": 65.4741, "aux.loss_seg": 0.31774, "aux.acc_seg": 58.44762, "loss": 0.82087, "time": 0.39912} +{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.50158, "decode.acc_seg": 65.12437, "aux.loss_seg": 0.31098, "aux.acc_seg": 59.13053, "loss": 0.81256, "time": 0.3998} +{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.50618, "decode.acc_seg": 63.43016, "aux.loss_seg": 0.31564, "aux.acc_seg": 56.75173, "loss": 0.82182, "time": 0.39512} +{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.52238, "decode.acc_seg": 64.61663, "aux.loss_seg": 0.31809, "aux.acc_seg": 58.31122, "loss": 0.84047, "time": 0.39737} +{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.51027, "decode.acc_seg": 65.4301, "aux.loss_seg": 0.31113, "aux.acc_seg": 59.10716, "loss": 0.82141, "time": 0.4013} +{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 17837, "data_time": 0.24774, "decode.loss_seg": 0.51937, "decode.acc_seg": 64.20199, "aux.loss_seg": 0.32106, "aux.acc_seg": 57.97605, "loss": 0.84043, "time": 0.63946} +{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.48739, "decode.acc_seg": 66.14333, "aux.loss_seg": 0.30585, "aux.acc_seg": 59.63229, "loss": 0.79325, "time": 0.39476} +{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.47747, "decode.acc_seg": 64.89858, "aux.loss_seg": 0.30924, "aux.acc_seg": 58.13019, "loss": 0.78672, "time": 0.39833} +{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.4823, "decode.acc_seg": 66.2367, "aux.loss_seg": 0.31018, "aux.acc_seg": 58.97691, "loss": 0.79249, "time": 0.39449} +{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.49328, "decode.acc_seg": 66.83338, "aux.loss_seg": 0.31041, "aux.acc_seg": 60.33306, "loss": 0.80369, "time": 0.39897} +{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.48826, "decode.acc_seg": 65.84681, "aux.loss_seg": 0.30152, "aux.acc_seg": 59.53571, "loss": 0.78978, "time": 0.39838} +{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.50583, "decode.acc_seg": 65.08011, "aux.loss_seg": 0.31722, "aux.acc_seg": 58.37038, "loss": 0.82305, "time": 0.39768} +{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.48973, "decode.acc_seg": 65.17186, "aux.loss_seg": 0.30864, "aux.acc_seg": 58.58945, "loss": 0.79836, "time": 0.39458} +{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.50402, "decode.acc_seg": 64.17249, "aux.loss_seg": 0.31533, "aux.acc_seg": 57.47516, "loss": 0.81935, "time": 0.39811} +{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.52141, "decode.acc_seg": 65.95538, "aux.loss_seg": 0.32451, "aux.acc_seg": 59.10854, "loss": 0.84592, "time": 0.3975} +{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.51698, "decode.acc_seg": 66.40226, "aux.loss_seg": 0.33263, "aux.acc_seg": 59.4591, "loss": 0.84961, "time": 0.3979} +{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.49311, "decode.acc_seg": 65.82629, "aux.loss_seg": 0.29839, "aux.acc_seg": 60.23941, "loss": 0.7915, "time": 0.3987} +{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.53267, "decode.acc_seg": 65.1785, "aux.loss_seg": 0.32599, "aux.acc_seg": 58.96633, "loss": 0.85866, "time": 0.39895} +{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.49742, "decode.acc_seg": 65.11492, "aux.loss_seg": 0.30942, "aux.acc_seg": 58.82186, "loss": 0.80684, "time": 0.40027} +{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.49797, "decode.acc_seg": 64.76408, "aux.loss_seg": 0.2982, "aux.acc_seg": 58.93562, "loss": 0.79616, "time": 0.40088} +{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.49647, "decode.acc_seg": 65.48485, "aux.loss_seg": 0.31026, "aux.acc_seg": 58.67411, "loss": 0.80673, "time": 0.39542} +{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.49406, "decode.acc_seg": 65.4793, "aux.loss_seg": 0.30905, "aux.acc_seg": 59.23856, "loss": 0.80311, "time": 0.39626} +{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.50627, "decode.acc_seg": 65.14617, "aux.loss_seg": 0.31701, "aux.acc_seg": 57.84141, "loss": 0.82328, "time": 0.39286} +{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.52135, "decode.acc_seg": 64.60394, "aux.loss_seg": 0.31898, "aux.acc_seg": 58.89383, "loss": 0.84033, "time": 0.39735} +{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.48694, "decode.acc_seg": 66.39006, "aux.loss_seg": 0.29993, "aux.acc_seg": 60.09267, "loss": 0.78687, "time": 0.39359} +{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.50011, "decode.acc_seg": 64.69245, "aux.loss_seg": 0.30582, "aux.acc_seg": 58.39576, "loss": 0.80593, "time": 0.39452} +{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.49808, "decode.acc_seg": 66.01342, "aux.loss_seg": 0.31089, "aux.acc_seg": 59.72291, "loss": 0.80897, "time": 0.39623} +{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.50062, "decode.acc_seg": 64.12913, "aux.loss_seg": 0.31108, "aux.acc_seg": 57.72866, "loss": 0.8117, "time": 0.40698} +{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.49742, "decode.acc_seg": 65.53283, "aux.loss_seg": 0.31052, "aux.acc_seg": 58.69346, "loss": 0.80794, "time": 0.40326} +{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.52036, "decode.acc_seg": 65.17399, "aux.loss_seg": 0.31604, "aux.acc_seg": 58.77684, "loss": 0.8364, "time": 0.40023} +{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.53919, "decode.acc_seg": 65.68564, "aux.loss_seg": 0.3231, "aux.acc_seg": 59.28386, "loss": 0.86229, "time": 0.39935} +{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 17837, "data_time": 0.24322, "decode.loss_seg": 0.46804, "decode.acc_seg": 66.01045, "aux.loss_seg": 0.29761, "aux.acc_seg": 59.5279, "loss": 0.76565, "time": 0.63028} +{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.46105, "decode.acc_seg": 65.7487, "aux.loss_seg": 0.30025, "aux.acc_seg": 58.69167, "loss": 0.7613, "time": 0.39864} +{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 17837, "data_time": 0.00673, "decode.loss_seg": 0.50757, "decode.acc_seg": 66.22145, "aux.loss_seg": 0.31079, "aux.acc_seg": 59.69583, "loss": 0.81836, "time": 0.41163} +{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.4936, "decode.acc_seg": 63.77768, "aux.loss_seg": 0.30584, "aux.acc_seg": 57.339, "loss": 0.79944, "time": 0.39983} +{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.47838, "decode.acc_seg": 64.54844, "aux.loss_seg": 0.30684, "aux.acc_seg": 57.47054, "loss": 0.78522, "time": 0.39707} +{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.48665, "decode.acc_seg": 65.09562, "aux.loss_seg": 0.30025, "aux.acc_seg": 58.99903, "loss": 0.78689, "time": 0.40289} +{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.50701, "decode.acc_seg": 66.12678, "aux.loss_seg": 0.31844, "aux.acc_seg": 59.25629, "loss": 0.82545, "time": 0.41735} +{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.50839, "decode.acc_seg": 65.16374, "aux.loss_seg": 0.32143, "aux.acc_seg": 58.08448, "loss": 0.82982, "time": 0.39571} +{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.47773, "decode.acc_seg": 64.8917, "aux.loss_seg": 0.29809, "aux.acc_seg": 58.69356, "loss": 0.77581, "time": 0.42093} +{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.50624, "decode.acc_seg": 65.55801, "aux.loss_seg": 0.3221, "aux.acc_seg": 58.98578, "loss": 0.82835, "time": 0.40919} +{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.52429, "decode.acc_seg": 64.84091, "aux.loss_seg": 0.32237, "aux.acc_seg": 58.31675, "loss": 0.84666, "time": 0.40284} +{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.48192, "decode.acc_seg": 65.79666, "aux.loss_seg": 0.30436, "aux.acc_seg": 58.92314, "loss": 0.78627, "time": 0.3948} +{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.49463, "decode.acc_seg": 64.69179, "aux.loss_seg": 0.30089, "aux.acc_seg": 58.93345, "loss": 0.79552, "time": 0.39464} +{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.49693, "decode.acc_seg": 64.81627, "aux.loss_seg": 0.31263, "aux.acc_seg": 58.06522, "loss": 0.80956, "time": 0.39248} +{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.49535, "decode.acc_seg": 65.63003, "aux.loss_seg": 0.31049, "aux.acc_seg": 58.89585, "loss": 0.80584, "time": 0.395} +{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.49508, "decode.acc_seg": 66.3168, "aux.loss_seg": 0.29901, "aux.acc_seg": 59.97446, "loss": 0.79409, "time": 0.39938} +{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.53772, "decode.acc_seg": 65.51076, "aux.loss_seg": 0.33188, "aux.acc_seg": 59.2959, "loss": 0.8696, "time": 0.39644} +{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.52203, "decode.acc_seg": 64.75077, "aux.loss_seg": 0.3199, "aux.acc_seg": 58.20538, "loss": 0.84193, "time": 0.41297} +{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.51515, "decode.acc_seg": 66.35595, "aux.loss_seg": 0.31541, "aux.acc_seg": 60.03523, "loss": 0.83055, "time": 0.40558} +{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.48363, "decode.acc_seg": 66.00855, "aux.loss_seg": 0.29721, "aux.acc_seg": 59.87392, "loss": 0.78084, "time": 0.39607} +{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.47784, "decode.acc_seg": 65.15678, "aux.loss_seg": 0.30211, "aux.acc_seg": 58.19496, "loss": 0.77994, "time": 0.39607} +{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.52201, "decode.acc_seg": 65.27576, "aux.loss_seg": 0.32392, "aux.acc_seg": 58.5871, "loss": 0.84593, "time": 0.40241} +{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.52642, "decode.acc_seg": 64.94812, "aux.loss_seg": 0.31489, "aux.acc_seg": 59.18343, "loss": 0.84131, "time": 0.39637} +{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.51051, "decode.acc_seg": 64.11481, "aux.loss_seg": 0.30608, "aux.acc_seg": 57.96409, "loss": 0.81659, "time": 0.39635} +{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.511, "decode.acc_seg": 64.39212, "aux.loss_seg": 0.3267, "aux.acc_seg": 57.53614, "loss": 0.8377, "time": 0.39875} +{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 17837, "data_time": 0.24257, "decode.loss_seg": 0.47869, "decode.acc_seg": 65.51005, "aux.loss_seg": 0.3108, "aux.acc_seg": 58.65508, "loss": 0.78949, "time": 0.64539} +{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.50048, "decode.acc_seg": 66.51583, "aux.loss_seg": 0.31544, "aux.acc_seg": 59.97751, "loss": 0.81592, "time": 0.40176} +{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.50316, "decode.acc_seg": 65.46558, "aux.loss_seg": 0.30616, "aux.acc_seg": 59.46209, "loss": 0.80932, "time": 0.39645} +{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.50502, "decode.acc_seg": 66.11236, "aux.loss_seg": 0.32399, "aux.acc_seg": 58.70012, "loss": 0.82901, "time": 0.40439} +{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.46376, "decode.acc_seg": 66.85196, "aux.loss_seg": 0.29772, "aux.acc_seg": 59.76913, "loss": 0.76148, "time": 0.4041} +{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.48787, "decode.acc_seg": 65.37926, "aux.loss_seg": 0.30228, "aux.acc_seg": 59.25726, "loss": 0.79015, "time": 0.40244} +{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.49414, "decode.acc_seg": 65.31106, "aux.loss_seg": 0.31079, "aux.acc_seg": 58.65138, "loss": 0.80493, "time": 0.39749} +{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.48197, "decode.acc_seg": 66.45416, "aux.loss_seg": 0.30561, "aux.acc_seg": 59.97529, "loss": 0.78758, "time": 0.40074} +{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.47779, "decode.acc_seg": 64.41654, "aux.loss_seg": 0.30143, "aux.acc_seg": 58.06313, "loss": 0.77922, "time": 0.40312} +{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.49194, "decode.acc_seg": 65.86619, "aux.loss_seg": 0.29994, "aux.acc_seg": 59.91595, "loss": 0.79188, "time": 0.40227} +{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.4836, "decode.acc_seg": 65.06142, "aux.loss_seg": 0.30154, "aux.acc_seg": 58.86287, "loss": 0.78514, "time": 0.41464} +{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.51043, "decode.acc_seg": 65.10604, "aux.loss_seg": 0.30944, "aux.acc_seg": 59.57136, "loss": 0.81987, "time": 0.40202} +{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.48936, "decode.acc_seg": 64.67864, "aux.loss_seg": 0.30065, "aux.acc_seg": 58.17211, "loss": 0.79, "time": 0.39743} +{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.49507, "decode.acc_seg": 65.98376, "aux.loss_seg": 0.30709, "aux.acc_seg": 59.33093, "loss": 0.80216, "time": 0.39621} +{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.52709, "decode.acc_seg": 64.43407, "aux.loss_seg": 0.33246, "aux.acc_seg": 57.63029, "loss": 0.85955, "time": 0.39978} +{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.47862, "decode.acc_seg": 66.78769, "aux.loss_seg": 0.30226, "aux.acc_seg": 60.4675, "loss": 0.78087, "time": 0.39834} +{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.47457, "decode.acc_seg": 65.39229, "aux.loss_seg": 0.30478, "aux.acc_seg": 58.65078, "loss": 0.77936, "time": 0.40055} +{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.49693, "decode.acc_seg": 64.90764, "aux.loss_seg": 0.3114, "aux.acc_seg": 58.20252, "loss": 0.80833, "time": 0.39866} +{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.49539, "decode.acc_seg": 64.58566, "aux.loss_seg": 0.31224, "aux.acc_seg": 57.60887, "loss": 0.80763, "time": 0.39451} +{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.49975, "decode.acc_seg": 66.57908, "aux.loss_seg": 0.31871, "aux.acc_seg": 59.68347, "loss": 0.81846, "time": 0.39275} +{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.50893, "decode.acc_seg": 65.23699, "aux.loss_seg": 0.31215, "aux.acc_seg": 59.03813, "loss": 0.82108, "time": 0.39584} +{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.47757, "decode.acc_seg": 66.39313, "aux.loss_seg": 0.29752, "aux.acc_seg": 60.16372, "loss": 0.77509, "time": 0.39787} +{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.48999, "decode.acc_seg": 64.83886, "aux.loss_seg": 0.30389, "aux.acc_seg": 58.19952, "loss": 0.79388, "time": 0.39741} +{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.51588, "decode.acc_seg": 65.60354, "aux.loss_seg": 0.31444, "aux.acc_seg": 58.87368, "loss": 0.83032, "time": 0.39679} +{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.50815, "decode.acc_seg": 64.60843, "aux.loss_seg": 0.32225, "aux.acc_seg": 57.36581, "loss": 0.83041, "time": 0.39715} +{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 17837, "data_time": 0.24302, "decode.loss_seg": 0.49485, "decode.acc_seg": 65.39904, "aux.loss_seg": 0.31295, "aux.acc_seg": 58.7279, "loss": 0.8078, "time": 0.63063} +{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.49327, "decode.acc_seg": 65.94381, "aux.loss_seg": 0.30476, "aux.acc_seg": 59.61563, "loss": 0.79803, "time": 0.39714} +{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.51611, "decode.acc_seg": 64.93588, "aux.loss_seg": 0.31889, "aux.acc_seg": 58.78176, "loss": 0.835, "time": 0.39616} +{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.47937, "decode.acc_seg": 66.10316, "aux.loss_seg": 0.30033, "aux.acc_seg": 59.96998, "loss": 0.77971, "time": 0.40357} +{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.4749, "decode.acc_seg": 65.28485, "aux.loss_seg": 0.30601, "aux.acc_seg": 58.58614, "loss": 0.78091, "time": 0.4052} +{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.47937, "decode.acc_seg": 65.35889, "aux.loss_seg": 0.30432, "aux.acc_seg": 58.59821, "loss": 0.78369, "time": 0.4008} +{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.49148, "decode.acc_seg": 65.13653, "aux.loss_seg": 0.30489, "aux.acc_seg": 59.07856, "loss": 0.79637, "time": 0.40017} +{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.49282, "decode.acc_seg": 66.9668, "aux.loss_seg": 0.3031, "aux.acc_seg": 60.7934, "loss": 0.79592, "time": 0.39776} +{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.47625, "decode.acc_seg": 67.33478, "aux.loss_seg": 0.30353, "aux.acc_seg": 60.46621, "loss": 0.77978, "time": 0.39645} +{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.50019, "decode.acc_seg": 66.23103, "aux.loss_seg": 0.32169, "aux.acc_seg": 58.9993, "loss": 0.82188, "time": 0.40166} +{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.46421, "decode.acc_seg": 65.72895, "aux.loss_seg": 0.29204, "aux.acc_seg": 59.52491, "loss": 0.75625, "time": 0.39857} +{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.48158, "decode.acc_seg": 67.06273, "aux.loss_seg": 0.30435, "aux.acc_seg": 60.09952, "loss": 0.78593, "time": 0.40097} +{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.48062, "decode.acc_seg": 66.03455, "aux.loss_seg": 0.29461, "aux.acc_seg": 60.40972, "loss": 0.77523, "time": 0.39763} +{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.44649, "decode.acc_seg": 65.64637, "aux.loss_seg": 0.28664, "aux.acc_seg": 58.94952, "loss": 0.73313, "time": 0.39435} +{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.46956, "decode.acc_seg": 65.95245, "aux.loss_seg": 0.29412, "aux.acc_seg": 59.27566, "loss": 0.76368, "time": 0.3951} +{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.48357, "decode.acc_seg": 64.99726, "aux.loss_seg": 0.30616, "aux.acc_seg": 57.99876, "loss": 0.78973, "time": 0.39582} +{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.48047, "decode.acc_seg": 65.47464, "aux.loss_seg": 0.29827, "aux.acc_seg": 59.12721, "loss": 0.77873, "time": 0.39621} +{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.49248, "decode.acc_seg": 64.24327, "aux.loss_seg": 0.31556, "aux.acc_seg": 57.34417, "loss": 0.80804, "time": 0.39608} +{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.47333, "decode.acc_seg": 65.55564, "aux.loss_seg": 0.28937, "aux.acc_seg": 59.7743, "loss": 0.7627, "time": 0.3947} +{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.52197, "decode.acc_seg": 65.28116, "aux.loss_seg": 0.32794, "aux.acc_seg": 58.18237, "loss": 0.84992, "time": 0.4038} +{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.4766, "decode.acc_seg": 68.04363, "aux.loss_seg": 0.30717, "aux.acc_seg": 61.13059, "loss": 0.78378, "time": 0.39924} +{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.48182, "decode.acc_seg": 64.70599, "aux.loss_seg": 0.29899, "aux.acc_seg": 58.58407, "loss": 0.7808, "time": 0.40458} +{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.48549, "decode.acc_seg": 65.7746, "aux.loss_seg": 0.29474, "aux.acc_seg": 60.21484, "loss": 0.78022, "time": 0.39997} +{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.51023, "decode.acc_seg": 65.25887, "aux.loss_seg": 0.31365, "aux.acc_seg": 58.90166, "loss": 0.82388, "time": 0.39814} +{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.49725, "decode.acc_seg": 63.82474, "aux.loss_seg": 0.30943, "aux.acc_seg": 57.23517, "loss": 0.80668, "time": 0.39708} +{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 17837, "data_time": 0.249, "decode.loss_seg": 0.47947, "decode.acc_seg": 65.21961, "aux.loss_seg": 0.29522, "aux.acc_seg": 59.05753, "loss": 0.7747, "time": 0.63804} +{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.45151, "decode.acc_seg": 67.70411, "aux.loss_seg": 0.29093, "aux.acc_seg": 61.20325, "loss": 0.74244, "time": 0.40672} +{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.44136, "decode.acc_seg": 65.42875, "aux.loss_seg": 0.28256, "aux.acc_seg": 58.73683, "loss": 0.72393, "time": 0.39742} +{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.44867, "decode.acc_seg": 65.97021, "aux.loss_seg": 0.29541, "aux.acc_seg": 59.14306, "loss": 0.74408, "time": 0.39951} +{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.45972, "decode.acc_seg": 66.51406, "aux.loss_seg": 0.30292, "aux.acc_seg": 59.41655, "loss": 0.76264, "time": 0.39745} +{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.47199, "decode.acc_seg": 66.08566, "aux.loss_seg": 0.3034, "aux.acc_seg": 59.0592, "loss": 0.77539, "time": 0.39907} +{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.49111, "decode.acc_seg": 66.25513, "aux.loss_seg": 0.30348, "aux.acc_seg": 60.07697, "loss": 0.79459, "time": 0.40302} +{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.43567, "decode.acc_seg": 67.19354, "aux.loss_seg": 0.27872, "aux.acc_seg": 60.9295, "loss": 0.71439, "time": 0.40815} +{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.47694, "decode.acc_seg": 66.12486, "aux.loss_seg": 0.30182, "aux.acc_seg": 58.94118, "loss": 0.77876, "time": 0.39718} +{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.47271, "decode.acc_seg": 65.03997, "aux.loss_seg": 0.29787, "aux.acc_seg": 58.73257, "loss": 0.77058, "time": 0.40909} +{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.49097, "decode.acc_seg": 66.32132, "aux.loss_seg": 0.29916, "aux.acc_seg": 60.52446, "loss": 0.79013, "time": 0.40333} +{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.5075, "decode.acc_seg": 65.35354, "aux.loss_seg": 0.32123, "aux.acc_seg": 58.25207, "loss": 0.82873, "time": 0.41763} +{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.48816, "decode.acc_seg": 65.54056, "aux.loss_seg": 0.30393, "aux.acc_seg": 59.09892, "loss": 0.79209, "time": 0.41128} +{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.4724, "decode.acc_seg": 67.2369, "aux.loss_seg": 0.30957, "aux.acc_seg": 59.76495, "loss": 0.78197, "time": 0.4175} +{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.48883, "decode.acc_seg": 66.40233, "aux.loss_seg": 0.30181, "aux.acc_seg": 60.29076, "loss": 0.79064, "time": 0.3986} +{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.47073, "decode.acc_seg": 65.12328, "aux.loss_seg": 0.29689, "aux.acc_seg": 58.60208, "loss": 0.76762, "time": 0.40526} +{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.43683, "decode.acc_seg": 66.48514, "aux.loss_seg": 0.28089, "aux.acc_seg": 60.35221, "loss": 0.71772, "time": 0.40037} +{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.4823, "decode.acc_seg": 65.73048, "aux.loss_seg": 0.30784, "aux.acc_seg": 58.60511, "loss": 0.79015, "time": 0.40217} +{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.45062, "decode.acc_seg": 64.49226, "aux.loss_seg": 0.28672, "aux.acc_seg": 58.04813, "loss": 0.73734, "time": 0.39776} +{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.49682, "decode.acc_seg": 64.93634, "aux.loss_seg": 0.30799, "aux.acc_seg": 58.30256, "loss": 0.80481, "time": 0.39557} +{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.49087, "decode.acc_seg": 65.55222, "aux.loss_seg": 0.31363, "aux.acc_seg": 58.61635, "loss": 0.8045, "time": 0.39431} +{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.45775, "decode.acc_seg": 65.66245, "aux.loss_seg": 0.29284, "aux.acc_seg": 59.08906, "loss": 0.75059, "time": 0.39365} +{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.48654, "decode.acc_seg": 65.64845, "aux.loss_seg": 0.30702, "aux.acc_seg": 59.46717, "loss": 0.79357, "time": 0.39461} +{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.49331, "decode.acc_seg": 65.0054, "aux.loss_seg": 0.30653, "aux.acc_seg": 58.82295, "loss": 0.79983, "time": 0.39453} +{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.46918, "decode.acc_seg": 65.23935, "aux.loss_seg": 0.28876, "aux.acc_seg": 59.42271, "loss": 0.75794, "time": 0.39579} +{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.46586, "decode.acc_seg": 65.97342, "aux.loss_seg": 0.29588, "aux.acc_seg": 59.46353, "loss": 0.76174, "time": 0.40874} +{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 17837, "data_time": 0.24513, "decode.loss_seg": 0.46031, "decode.acc_seg": 66.57419, "aux.loss_seg": 0.30046, "aux.acc_seg": 60.03287, "loss": 0.76077, "time": 0.63144} +{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.46978, "decode.acc_seg": 67.48572, "aux.loss_seg": 0.30714, "aux.acc_seg": 60.0342, "loss": 0.77692, "time": 0.40874} +{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.45296, "decode.acc_seg": 67.43232, "aux.loss_seg": 0.29884, "aux.acc_seg": 60.26743, "loss": 0.7518, "time": 0.40408} +{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.43247, "decode.acc_seg": 65.90477, "aux.loss_seg": 0.27569, "aux.acc_seg": 59.95807, "loss": 0.70816, "time": 0.40865} +{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.46491, "decode.acc_seg": 64.90014, "aux.loss_seg": 0.29543, "aux.acc_seg": 58.30091, "loss": 0.76034, "time": 0.40279} +{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.47893, "decode.acc_seg": 66.55258, "aux.loss_seg": 0.3052, "aux.acc_seg": 60.05067, "loss": 0.78412, "time": 0.40155} +{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.45873, "decode.acc_seg": 65.75351, "aux.loss_seg": 0.28784, "aux.acc_seg": 59.1172, "loss": 0.74656, "time": 0.39904} +{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.48175, "decode.acc_seg": 64.6014, "aux.loss_seg": 0.29987, "aux.acc_seg": 58.37191, "loss": 0.78162, "time": 0.41532} +{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.49735, "decode.acc_seg": 65.46259, "aux.loss_seg": 0.30633, "aux.acc_seg": 59.04338, "loss": 0.80368, "time": 0.40497} +{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.45206, "decode.acc_seg": 67.45045, "aux.loss_seg": 0.29183, "aux.acc_seg": 60.622, "loss": 0.74388, "time": 0.39532} +{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.48406, "decode.acc_seg": 66.1287, "aux.loss_seg": 0.29947, "aux.acc_seg": 59.41977, "loss": 0.78354, "time": 0.40499} +{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.44602, "decode.acc_seg": 66.0643, "aux.loss_seg": 0.27632, "aux.acc_seg": 60.42548, "loss": 0.72234, "time": 0.41218} +{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.46139, "decode.acc_seg": 66.31026, "aux.loss_seg": 0.29595, "aux.acc_seg": 59.63691, "loss": 0.75734, "time": 0.39652} +{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.46965, "decode.acc_seg": 65.66082, "aux.loss_seg": 0.29643, "aux.acc_seg": 59.03807, "loss": 0.76608, "time": 0.40163} +{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.47686, "decode.acc_seg": 66.53729, "aux.loss_seg": 0.30382, "aux.acc_seg": 59.71121, "loss": 0.78067, "time": 0.39542} +{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.47467, "decode.acc_seg": 66.10117, "aux.loss_seg": 0.29659, "aux.acc_seg": 60.28045, "loss": 0.77126, "time": 0.39689} +{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.47325, "decode.acc_seg": 67.04078, "aux.loss_seg": 0.30133, "aux.acc_seg": 60.04209, "loss": 0.77458, "time": 0.40581} +{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.48991, "decode.acc_seg": 67.49874, "aux.loss_seg": 0.30979, "aux.acc_seg": 60.58169, "loss": 0.7997, "time": 0.41768} +{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.47205, "decode.acc_seg": 66.87267, "aux.loss_seg": 0.29301, "aux.acc_seg": 60.89192, "loss": 0.76506, "time": 0.40056} +{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.44987, "decode.acc_seg": 66.04431, "aux.loss_seg": 0.28587, "aux.acc_seg": 59.83052, "loss": 0.73574, "time": 0.39715} +{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.47796, "decode.acc_seg": 67.11975, "aux.loss_seg": 0.30218, "aux.acc_seg": 60.41469, "loss": 0.78013, "time": 0.39731} +{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.4546, "decode.acc_seg": 66.05203, "aux.loss_seg": 0.29513, "aux.acc_seg": 59.01855, "loss": 0.74973, "time": 0.39987} +{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.46727, "decode.acc_seg": 65.78932, "aux.loss_seg": 0.29376, "aux.acc_seg": 59.62336, "loss": 0.76102, "time": 0.39773} +{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.47296, "decode.acc_seg": 66.37667, "aux.loss_seg": 0.29592, "aux.acc_seg": 59.79803, "loss": 0.76889, "time": 0.40505} +{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.4333, "decode.acc_seg": 66.81556, "aux.loss_seg": 0.28418, "aux.acc_seg": 60.05452, "loss": 0.71748, "time": 0.40317} +{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 17837, "data_time": 0.24274, "decode.loss_seg": 0.48681, "decode.acc_seg": 65.30066, "aux.loss_seg": 0.29889, "aux.acc_seg": 58.91781, "loss": 0.78571, "time": 0.63115} +{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.4533, "decode.acc_seg": 67.67205, "aux.loss_seg": 0.29473, "aux.acc_seg": 60.7739, "loss": 0.74803, "time": 0.3954} +{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 17837, "data_time": 0.00671, "decode.loss_seg": 0.44402, "decode.acc_seg": 67.05921, "aux.loss_seg": 0.2777, "aux.acc_seg": 61.36024, "loss": 0.72172, "time": 0.39609} +{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.49099, "decode.acc_seg": 66.51164, "aux.loss_seg": 0.30004, "aux.acc_seg": 60.30445, "loss": 0.79103, "time": 0.39577} +{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.45202, "decode.acc_seg": 67.63861, "aux.loss_seg": 0.29561, "aux.acc_seg": 60.63587, "loss": 0.74763, "time": 0.39635} +{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.47185, "decode.acc_seg": 65.09795, "aux.loss_seg": 0.30288, "aux.acc_seg": 57.82278, "loss": 0.77472, "time": 0.39741} +{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.47868, "decode.acc_seg": 65.60625, "aux.loss_seg": 0.31107, "aux.acc_seg": 58.20197, "loss": 0.78975, "time": 0.39854} +{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.44391, "decode.acc_seg": 66.65913, "aux.loss_seg": 0.28135, "aux.acc_seg": 60.23066, "loss": 0.72526, "time": 0.3958} +{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4205, "mAcc": 0.5498, "aAcc": 0.7962, "IoU.wall": 0.7318, "IoU.building": 0.7998, "IoU.sky": 0.9352, "IoU.floor": 0.7801, "IoU.tree": 0.7263, "IoU.ceiling": 0.8045, "IoU.road": 0.7892, "IoU.bed ": 0.8244, "IoU.windowpane": 0.57, "IoU.grass": 0.645, "IoU.cabinet": 0.5376, "IoU.sidewalk": 0.5754, "IoU.person": 0.7422, "IoU.earth": 0.2932, "IoU.door": 0.36, "IoU.table": 0.4802, "IoU.mountain": 0.5302, "IoU.plant": 0.5019, "IoU.curtain": 0.6524, "IoU.chair": 0.466, "IoU.car": 0.8014, "IoU.water": 0.5386, "IoU.painting": 0.6426, "IoU.sofa": 0.5679, "IoU.shelf": 0.3524, "IoU.house": 0.4696, "IoU.sea": 0.5813, "IoU.mirror": 0.477, "IoU.rug": 0.6322, "IoU.field": 0.2978, "IoU.armchair": 0.2689, "IoU.seat": 0.6172, "IoU.fence": 0.3395, "IoU.desk": 0.3686, "IoU.rock": 0.319, "IoU.wardrobe": 0.4271, "IoU.lamp": 0.4968, "IoU.bathtub": 0.6919, "IoU.railing": 0.3149, "IoU.cushion": 0.4512, "IoU.base": 0.2457, "IoU.box": 0.2174, "IoU.column": 0.3743, "IoU.signboard": 0.3095, "IoU.chest of drawers": 0.3511, "IoU.counter": 0.3291, "IoU.sand": 0.3641, "IoU.sink": 0.5815, "IoU.skyscraper": 0.5796, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6008, "IoU.grandstand": 0.5246, "IoU.path": 0.1877, "IoU.stairs": 0.2767, "IoU.runway": 0.6239, "IoU.case": 0.4491, "IoU.pool table": 0.8965, "IoU.pillow": 0.4993, "IoU.screen door": 0.5487, "IoU.stairway": 0.2998, "IoU.river": 0.1805, "IoU.bridge": 0.5318, "IoU.bookcase": 0.3293, "IoU.blind": NaN, "IoU.coffee table": 0.4974, "IoU.toilet": 0.7575, "IoU.flower": 0.3172, "IoU.book": 0.4129, "IoU.hill": 0.0645, "IoU.bench": 0.3342, "IoU.countertop": 0.5081, "IoU.stove": 0.5869, "IoU.palm": 0.4226, "IoU.kitchen island": 0.257, "IoU.computer": 0.5028, "IoU.swivel chair": 0.3417, "IoU.boat": 0.3662, "IoU.bar": 0.4784, "IoU.arcade machine": 0.6851, "IoU.hovel": 0.4474, "IoU.bus": 0.7439, "IoU.towel": 0.5048, "IoU.light": 0.3906, "IoU.truck": 0.1615, "IoU.tower": 0.2343, "IoU.chandelier": 0.5658, "IoU.awning": 0.23, "IoU.streetlight": 0.1697, "IoU.booth": 0.4633, "IoU.television receiver": NaN, "IoU.airplane": 0.5298, "IoU.dirt track": 0.0106, "IoU.apparel": 0.2371, "IoU.pole": 0.0988, "IoU.land": 0.0411, "IoU.bannister": 0.0195, "IoU.escalator": 0.2857, "IoU.ottoman": 0.3384, "IoU.bottle": NaN, "IoU.buffet": 0.4287, "IoU.poster": 0.1255, "IoU.stage": 0.1131, "IoU.van": 0.332, "IoU.ship": 0.5683, "IoU.fountain": 0.2472, "IoU.conveyer belt": 0.5252, "IoU.canopy": 0.2044, "IoU.washer": 0.653, "IoU.plaything": 0.1597, "IoU.swimming pool": 0.766, "IoU.stool": 0.2503, "IoU.barrel": 0.4361, "IoU.basket": 0.2159, "IoU.waterfall": 0.3787, "IoU.tent": 0.7504, "IoU.bag": 0.0734, "IoU.minibike": 0.6755, "IoU.cradle": NaN, "IoU.oven": 0.2362, "IoU.ball": 0.4619, "IoU.food": 0.4363, "IoU.step": 0.0729, "IoU.tank": 0.4961, "IoU.trade name": 0.0749, "IoU.microwave": 0.7408, "IoU.pot": 0.4266, "IoU.animal": NaN, "IoU.bicycle": 0.4979, "IoU.lake": 0.5861, "IoU.dishwasher": 0.4304, "IoU.screen": 0.5406, "IoU.blanket": 0.0396, "IoU.sculpture": 0.3852, "IoU.hood": 0.4331, "IoU.sconce": 0.2131, "IoU.vase": 0.2481, "IoU.traffic light": 0.1719, "IoU.tray": 0.0344, "IoU.ashcan": 0.2493, "IoU.fan": 0.4345, "IoU.pier": 0.4775, "IoU.crt screen": 0.0599, "IoU.plate": 0.4714, "IoU.monitor": 0.2345, "IoU.bulletin board": 0.3127, "IoU.shower": 0.0, "IoU.radiator": 0.5349, "IoU.glass": 0.0577, "IoU.clock": 0.1883, "IoU.flag": 0.4019, "Acc.wall": 0.8529, "Acc.building": 0.8883, "Acc.sky": 0.9716, "Acc.floor": 0.8673, "Acc.tree": 0.8524, "Acc.ceiling": 0.9093, "Acc.road": 0.8933, "Acc.bed ": 0.9338, "Acc.windowpane": 0.7351, "Acc.grass": 0.7991, "Acc.cabinet": 0.6491, "Acc.sidewalk": 0.7218, "Acc.person": 0.8843, "Acc.earth": 0.3762, "Acc.door": 0.466, "Acc.table": 0.6908, "Acc.mountain": 0.776, "Acc.plant": 0.6232, "Acc.curtain": 0.8323, "Acc.chair": 0.6756, "Acc.car": 0.9204, "Acc.water": 0.6966, "Acc.painting": 0.8291, "Acc.sofa": 0.7912, "Acc.shelf": 0.5207, "Acc.house": 0.8133, "Acc.sea": 0.7322, "Acc.mirror": 0.5712, "Acc.rug": 0.7789, "Acc.field": 0.5921, "Acc.armchair": 0.3833, "Acc.seat": 0.8061, "Acc.fence": 0.4273, "Acc.desk": 0.6725, "Acc.rock": 0.4244, "Acc.wardrobe": 0.5664, "Acc.lamp": 0.6496, "Acc.bathtub": 0.829, "Acc.railing": 0.4712, "Acc.cushion": 0.5643, "Acc.base": 0.3691, "Acc.box": 0.305, "Acc.column": 0.4791, "Acc.signboard": 0.4695, "Acc.chest of drawers": 0.4965, "Acc.counter": 0.5249, "Acc.sand": 0.515, "Acc.sink": 0.7413, "Acc.skyscraper": 0.8127, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7811, "Acc.grandstand": 0.6492, "Acc.path": 0.3703, "Acc.stairs": 0.3485, "Acc.runway": 0.7878, "Acc.case": 0.7585, "Acc.pool table": 0.9523, "Acc.pillow": 0.6551, "Acc.screen door": 0.7899, "Acc.stairway": 0.4575, "Acc.river": 0.4509, "Acc.bridge": 0.7909, "Acc.bookcase": 0.3987, "Acc.blind": NaN, "Acc.coffee table": 0.7348, "Acc.toilet": 0.8478, "Acc.flower": 0.4293, "Acc.book": 0.6877, "Acc.hill": 0.1131, "Acc.bench": 0.4877, "Acc.countertop": 0.6168, "Acc.stove": 0.7097, "Acc.palm": 0.6383, "Acc.kitchen island": 0.642, "Acc.computer": 0.6248, "Acc.swivel chair": 0.4264, "Acc.boat": 0.4974, "Acc.bar": 0.6281, "Acc.arcade machine": 0.7493, "Acc.hovel": 0.5014, "Acc.bus": 0.8808, "Acc.towel": 0.6816, "Acc.light": 0.4194, "Acc.truck": 0.2291, "Acc.tower": 0.3769, "Acc.chandelier": 0.762, "Acc.awning": 0.3198, "Acc.streetlight": 0.2303, "Acc.booth": 0.5754, "Acc.television receiver": NaN, "Acc.airplane": 0.6261, "Acc.dirt track": 0.0319, "Acc.apparel": 0.402, "Acc.pole": 0.135, "Acc.land": 0.0494, "Acc.bannister": 0.0245, "Acc.escalator": 0.3773, "Acc.ottoman": 0.4926, "Acc.bottle": NaN, "Acc.buffet": 0.6279, "Acc.poster": 0.1422, "Acc.stage": 0.1712, "Acc.van": 0.4704, "Acc.ship": 0.9934, "Acc.fountain": 0.2505, "Acc.conveyer belt": 0.7108, "Acc.canopy": 0.3026, "Acc.washer": 0.713, "Acc.plaything": 0.2186, "Acc.swimming pool": 0.8867, "Acc.stool": 0.2973, "Acc.barrel": 0.6316, "Acc.basket": 0.26, "Acc.waterfall": 0.4019, "Acc.tent": 0.9916, "Acc.bag": 0.0816, "Acc.minibike": 0.8729, "Acc.cradle": NaN, "Acc.oven": 0.3007, "Acc.ball": 0.561, "Acc.food": 0.4953, "Acc.step": 0.0812, "Acc.tank": 0.6032, "Acc.trade name": 0.0773, "Acc.microwave": 0.8824, "Acc.pot": 0.511, "Acc.animal": NaN, "Acc.bicycle": 0.674, "Acc.lake": 0.5996, "Acc.dishwasher": 0.5672, "Acc.screen": 0.8819, "Acc.blanket": 0.045, "Acc.sculpture": 0.4569, "Acc.hood": 0.515, "Acc.sconce": 0.2294, "Acc.vase": 0.3552, "Acc.traffic light": 0.2806, "Acc.tray": 0.0372, "Acc.ashcan": 0.3303, "Acc.fan": 0.7042, "Acc.pier": 0.6401, "Acc.crt screen": 0.1129, "Acc.plate": 0.6666, "Acc.monitor": 0.3974, "Acc.bulletin board": 0.4338, "Acc.shower": 0.0, "Acc.radiator": 0.646, "Acc.glass": 0.0602, "Acc.clock": 0.247, "Acc.flag": 0.4593} +{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 17837, "data_time": 1.49092, "decode.loss_seg": 0.45179, "decode.acc_seg": 66.06235, "aux.loss_seg": 0.29043, "aux.acc_seg": 59.41384, "loss": 0.74222, "time": 1.88934} +{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.45347, "decode.acc_seg": 65.81905, "aux.loss_seg": 0.28924, "aux.acc_seg": 59.15842, "loss": 0.74271, "time": 0.39546} +{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.48373, "decode.acc_seg": 65.91419, "aux.loss_seg": 0.30394, "aux.acc_seg": 59.65662, "loss": 0.78767, "time": 0.40037} +{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.49215, "decode.acc_seg": 65.27922, "aux.loss_seg": 0.30316, "aux.acc_seg": 59.22718, "loss": 0.79531, "time": 0.39706} +{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 17837, "data_time": 0.00547, "decode.loss_seg": 0.45634, "decode.acc_seg": 66.33383, "aux.loss_seg": 0.29006, "aux.acc_seg": 59.88027, "loss": 0.74641, "time": 0.39567} +{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 17837, "data_time": 0.00551, "decode.loss_seg": 0.4514, "decode.acc_seg": 66.3875, "aux.loss_seg": 0.29457, "aux.acc_seg": 59.78865, "loss": 0.74597, "time": 0.40779} +{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.47067, "decode.acc_seg": 65.65095, "aux.loss_seg": 0.30007, "aux.acc_seg": 58.95742, "loss": 0.77074, "time": 0.40722} +{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.45467, "decode.acc_seg": 67.96563, "aux.loss_seg": 0.29201, "aux.acc_seg": 61.43497, "loss": 0.74667, "time": 0.39493} +{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.46039, "decode.acc_seg": 66.25697, "aux.loss_seg": 0.29829, "aux.acc_seg": 59.36736, "loss": 0.75868, "time": 0.40098} +{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.43755, "decode.acc_seg": 66.39009, "aux.loss_seg": 0.28828, "aux.acc_seg": 59.33999, "loss": 0.72583, "time": 0.40166} +{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.46688, "decode.acc_seg": 66.95945, "aux.loss_seg": 0.29911, "aux.acc_seg": 60.34296, "loss": 0.766, "time": 0.40101} +{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.47932, "decode.acc_seg": 65.3175, "aux.loss_seg": 0.29839, "aux.acc_seg": 58.64195, "loss": 0.77771, "time": 0.39556} +{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.44342, "decode.acc_seg": 68.16317, "aux.loss_seg": 0.28693, "aux.acc_seg": 61.61452, "loss": 0.73036, "time": 0.39978} +{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.47797, "decode.acc_seg": 65.54675, "aux.loss_seg": 0.30382, "aux.acc_seg": 58.64768, "loss": 0.78179, "time": 0.39539} +{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.46635, "decode.acc_seg": 66.75456, "aux.loss_seg": 0.28774, "aux.acc_seg": 60.69818, "loss": 0.75409, "time": 0.40439} +{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.45739, "decode.acc_seg": 67.32681, "aux.loss_seg": 0.28842, "aux.acc_seg": 61.2314, "loss": 0.74582, "time": 0.40458} +{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 17837, "data_time": 0.23908, "decode.loss_seg": 0.45297, "decode.acc_seg": 66.9757, "aux.loss_seg": 0.28292, "aux.acc_seg": 60.64405, "loss": 0.73588, "time": 0.62763} +{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.43303, "decode.acc_seg": 67.06015, "aux.loss_seg": 0.28242, "aux.acc_seg": 60.45336, "loss": 0.71545, "time": 0.40417} +{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.45309, "decode.acc_seg": 67.49065, "aux.loss_seg": 0.29043, "aux.acc_seg": 61.25212, "loss": 0.74352, "time": 0.40026} +{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.4474, "decode.acc_seg": 66.36734, "aux.loss_seg": 0.2857, "aux.acc_seg": 59.90975, "loss": 0.7331, "time": 0.39862} +{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.44438, "decode.acc_seg": 66.47203, "aux.loss_seg": 0.28898, "aux.acc_seg": 59.4292, "loss": 0.73336, "time": 0.3974} +{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.42802, "decode.acc_seg": 66.1971, "aux.loss_seg": 0.26863, "aux.acc_seg": 60.34687, "loss": 0.69664, "time": 0.39793} +{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.4397, "decode.acc_seg": 66.43061, "aux.loss_seg": 0.28381, "aux.acc_seg": 59.9496, "loss": 0.72351, "time": 0.41785} +{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.45319, "decode.acc_seg": 66.25407, "aux.loss_seg": 0.29762, "aux.acc_seg": 59.8858, "loss": 0.75081, "time": 0.40287} +{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.43665, "decode.acc_seg": 66.72501, "aux.loss_seg": 0.28066, "aux.acc_seg": 59.98819, "loss": 0.71731, "time": 0.40062} +{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.42918, "decode.acc_seg": 66.78298, "aux.loss_seg": 0.27507, "aux.acc_seg": 60.17571, "loss": 0.70426, "time": 0.40455} +{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.44092, "decode.acc_seg": 65.89656, "aux.loss_seg": 0.28451, "aux.acc_seg": 59.06055, "loss": 0.72543, "time": 0.40043} +{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.45957, "decode.acc_seg": 66.58161, "aux.loss_seg": 0.29702, "aux.acc_seg": 59.93673, "loss": 0.75659, "time": 0.399} +{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 17837, "data_time": 0.00698, "decode.loss_seg": 0.45674, "decode.acc_seg": 65.85239, "aux.loss_seg": 0.28802, "aux.acc_seg": 59.32366, "loss": 0.74476, "time": 0.3986} +{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.45461, "decode.acc_seg": 66.21676, "aux.loss_seg": 0.28925, "aux.acc_seg": 59.58504, "loss": 0.74386, "time": 0.40212} +{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.47936, "decode.acc_seg": 66.24536, "aux.loss_seg": 0.29835, "aux.acc_seg": 60.08333, "loss": 0.77771, "time": 0.39794} +{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.49019, "decode.acc_seg": 66.15557, "aux.loss_seg": 0.30341, "aux.acc_seg": 59.95725, "loss": 0.79359, "time": 0.39899} +{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.44434, "decode.acc_seg": 66.90864, "aux.loss_seg": 0.2887, "aux.acc_seg": 60.16337, "loss": 0.73304, "time": 0.39927} +{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.46052, "decode.acc_seg": 66.59364, "aux.loss_seg": 0.29457, "aux.acc_seg": 60.41854, "loss": 0.75509, "time": 0.398} +{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.46754, "decode.acc_seg": 67.51217, "aux.loss_seg": 0.29821, "aux.acc_seg": 60.78549, "loss": 0.76575, "time": 0.40003} +{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.45193, "decode.acc_seg": 67.08664, "aux.loss_seg": 0.28753, "aux.acc_seg": 60.67966, "loss": 0.73947, "time": 0.39588} +{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.47396, "decode.acc_seg": 66.8797, "aux.loss_seg": 0.29387, "aux.acc_seg": 60.54281, "loss": 0.76783, "time": 0.39935} +{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.46371, "decode.acc_seg": 67.11907, "aux.loss_seg": 0.2976, "aux.acc_seg": 60.84582, "loss": 0.76131, "time": 0.40622} +{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.43363, "decode.acc_seg": 66.15787, "aux.loss_seg": 0.28125, "aux.acc_seg": 60.19327, "loss": 0.71488, "time": 0.41332} +{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.45278, "decode.acc_seg": 65.82661, "aux.loss_seg": 0.29207, "aux.acc_seg": 58.93567, "loss": 0.74484, "time": 0.40234} +{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.44498, "decode.acc_seg": 67.3766, "aux.loss_seg": 0.27661, "aux.acc_seg": 61.705, "loss": 0.72159, "time": 0.39838} +{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.45488, "decode.acc_seg": 65.82023, "aux.loss_seg": 0.29113, "aux.acc_seg": 59.16004, "loss": 0.74601, "time": 0.39687} +{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 17837, "data_time": 0.24337, "decode.loss_seg": 0.4563, "decode.acc_seg": 67.05059, "aux.loss_seg": 0.29219, "aux.acc_seg": 60.64258, "loss": 0.74849, "time": 0.63324} +{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.43225, "decode.acc_seg": 66.59078, "aux.loss_seg": 0.28286, "aux.acc_seg": 59.71058, "loss": 0.71511, "time": 0.413} +{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.44376, "decode.acc_seg": 67.36552, "aux.loss_seg": 0.28888, "aux.acc_seg": 60.91348, "loss": 0.73264, "time": 0.4} +{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.43185, "decode.acc_seg": 67.37661, "aux.loss_seg": 0.27418, "aux.acc_seg": 61.15625, "loss": 0.70603, "time": 0.40231} +{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.44272, "decode.acc_seg": 66.86469, "aux.loss_seg": 0.28534, "aux.acc_seg": 60.41015, "loss": 0.72806, "time": 0.39743} +{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.45933, "decode.acc_seg": 66.48335, "aux.loss_seg": 0.29216, "aux.acc_seg": 60.40891, "loss": 0.75149, "time": 0.3945} +{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.42901, "decode.acc_seg": 67.628, "aux.loss_seg": 0.27241, "aux.acc_seg": 61.61401, "loss": 0.70143, "time": 0.40567} +{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.46917, "decode.acc_seg": 65.31743, "aux.loss_seg": 0.30026, "aux.acc_seg": 58.19025, "loss": 0.76942, "time": 0.41126} +{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.45706, "decode.acc_seg": 67.93265, "aux.loss_seg": 0.29146, "aux.acc_seg": 61.39656, "loss": 0.74852, "time": 0.39937} +{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.44745, "decode.acc_seg": 66.39998, "aux.loss_seg": 0.29351, "aux.acc_seg": 59.50669, "loss": 0.74096, "time": 0.39544} +{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.43963, "decode.acc_seg": 66.89162, "aux.loss_seg": 0.28061, "aux.acc_seg": 60.71719, "loss": 0.72024, "time": 0.40554} +{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.47537, "decode.acc_seg": 66.57632, "aux.loss_seg": 0.30018, "aux.acc_seg": 59.90054, "loss": 0.77554, "time": 0.39825} +{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.44838, "decode.acc_seg": 66.82804, "aux.loss_seg": 0.29076, "aux.acc_seg": 59.99106, "loss": 0.73914, "time": 0.40039} +{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.44792, "decode.acc_seg": 67.35804, "aux.loss_seg": 0.29209, "aux.acc_seg": 60.60102, "loss": 0.74002, "time": 0.40721} +{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.43039, "decode.acc_seg": 67.16735, "aux.loss_seg": 0.28286, "aux.acc_seg": 60.34268, "loss": 0.71325, "time": 0.40901} +{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.44335, "decode.acc_seg": 68.17854, "aux.loss_seg": 0.28949, "aux.acc_seg": 61.13669, "loss": 0.73283, "time": 0.40664} +{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.44523, "decode.acc_seg": 67.69459, "aux.loss_seg": 0.29662, "aux.acc_seg": 60.34349, "loss": 0.74185, "time": 0.39458} +{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.44371, "decode.acc_seg": 65.68987, "aux.loss_seg": 0.29172, "aux.acc_seg": 58.95348, "loss": 0.73543, "time": 0.39576} +{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.44137, "decode.acc_seg": 67.43305, "aux.loss_seg": 0.28662, "aux.acc_seg": 60.72713, "loss": 0.72799, "time": 0.39407} +{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.43441, "decode.acc_seg": 67.65775, "aux.loss_seg": 0.27766, "aux.acc_seg": 61.43806, "loss": 0.71207, "time": 0.39596} +{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.44989, "decode.acc_seg": 67.24423, "aux.loss_seg": 0.28437, "aux.acc_seg": 60.78924, "loss": 0.73426, "time": 0.39925} +{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.46212, "decode.acc_seg": 65.96294, "aux.loss_seg": 0.29828, "aux.acc_seg": 58.63895, "loss": 0.7604, "time": 0.40027} +{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.439, "decode.acc_seg": 66.5945, "aux.loss_seg": 0.28895, "aux.acc_seg": 59.69694, "loss": 0.72795, "time": 0.40034} +{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.44213, "decode.acc_seg": 65.73513, "aux.loss_seg": 0.28535, "aux.acc_seg": 59.26211, "loss": 0.72749, "time": 0.40193} +{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.43348, "decode.acc_seg": 65.69787, "aux.loss_seg": 0.27581, "aux.acc_seg": 59.2364, "loss": 0.7093, "time": 0.40493} +{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 17837, "data_time": 0.24724, "decode.loss_seg": 0.45545, "decode.acc_seg": 67.18462, "aux.loss_seg": 0.29097, "aux.acc_seg": 60.23121, "loss": 0.74642, "time": 0.64239} +{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.43018, "decode.acc_seg": 66.35875, "aux.loss_seg": 0.28074, "aux.acc_seg": 59.89173, "loss": 0.71092, "time": 0.42155} +{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 17837, "data_time": 0.00699, "decode.loss_seg": 0.43369, "decode.acc_seg": 66.67667, "aux.loss_seg": 0.28866, "aux.acc_seg": 59.4189, "loss": 0.72234, "time": 0.41474} +{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 17837, "data_time": 0.007, "decode.loss_seg": 0.45442, "decode.acc_seg": 67.71152, "aux.loss_seg": 0.28051, "aux.acc_seg": 61.56624, "loss": 0.73494, "time": 0.4255} +{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.44318, "decode.acc_seg": 68.45891, "aux.loss_seg": 0.29728, "aux.acc_seg": 61.30766, "loss": 0.74046, "time": 0.4002} +{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.44382, "decode.acc_seg": 67.42363, "aux.loss_seg": 0.28849, "aux.acc_seg": 60.95429, "loss": 0.73231, "time": 0.40287} +{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.4294, "decode.acc_seg": 67.50815, "aux.loss_seg": 0.2824, "aux.acc_seg": 60.41122, "loss": 0.7118, "time": 0.39782} +{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.43053, "decode.acc_seg": 66.42779, "aux.loss_seg": 0.27709, "aux.acc_seg": 60.25367, "loss": 0.70762, "time": 0.40102} +{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.44098, "decode.acc_seg": 66.57493, "aux.loss_seg": 0.28042, "aux.acc_seg": 59.9155, "loss": 0.7214, "time": 0.39377} +{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.43126, "decode.acc_seg": 66.39822, "aux.loss_seg": 0.281, "aux.acc_seg": 59.76712, "loss": 0.71226, "time": 0.3961} +{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.43251, "decode.acc_seg": 67.17978, "aux.loss_seg": 0.29099, "aux.acc_seg": 59.61721, "loss": 0.7235, "time": 0.39476} +{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.44858, "decode.acc_seg": 67.59409, "aux.loss_seg": 0.29584, "aux.acc_seg": 60.28023, "loss": 0.74442, "time": 0.40019} +{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.46586, "decode.acc_seg": 68.07397, "aux.loss_seg": 0.30387, "aux.acc_seg": 60.63396, "loss": 0.76973, "time": 0.40187} +{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.42292, "decode.acc_seg": 65.64495, "aux.loss_seg": 0.26902, "aux.acc_seg": 59.70572, "loss": 0.69194, "time": 0.397} +{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.45928, "decode.acc_seg": 66.88042, "aux.loss_seg": 0.29824, "aux.acc_seg": 59.81184, "loss": 0.75753, "time": 0.39746} +{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.44332, "decode.acc_seg": 66.01483, "aux.loss_seg": 0.28621, "aux.acc_seg": 59.21238, "loss": 0.72953, "time": 0.39702} +{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.46294, "decode.acc_seg": 65.7615, "aux.loss_seg": 0.2893, "aux.acc_seg": 59.17546, "loss": 0.75224, "time": 0.3999} +{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.46043, "decode.acc_seg": 68.68101, "aux.loss_seg": 0.29711, "aux.acc_seg": 61.77992, "loss": 0.75754, "time": 0.39676} +{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.4664, "decode.acc_seg": 65.72344, "aux.loss_seg": 0.28942, "aux.acc_seg": 59.66727, "loss": 0.75583, "time": 0.39833} +{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.43966, "decode.acc_seg": 67.47446, "aux.loss_seg": 0.29035, "aux.acc_seg": 60.25991, "loss": 0.73, "time": 0.40054} +{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.43813, "decode.acc_seg": 66.47574, "aux.loss_seg": 0.28542, "aux.acc_seg": 59.66657, "loss": 0.72354, "time": 0.39914} +{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.42274, "decode.acc_seg": 66.96816, "aux.loss_seg": 0.27631, "aux.acc_seg": 60.49201, "loss": 0.69905, "time": 0.39883} +{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.44608, "decode.acc_seg": 67.89469, "aux.loss_seg": 0.2841, "aux.acc_seg": 61.77825, "loss": 0.73017, "time": 0.40982} +{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.43382, "decode.acc_seg": 67.35734, "aux.loss_seg": 0.28073, "aux.acc_seg": 60.86373, "loss": 0.71455, "time": 0.39988} +{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.44652, "decode.acc_seg": 66.36993, "aux.loss_seg": 0.28472, "aux.acc_seg": 60.11274, "loss": 0.73124, "time": 0.39468} +{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 17837, "data_time": 0.24481, "decode.loss_seg": 0.42883, "decode.acc_seg": 67.5765, "aux.loss_seg": 0.27945, "aux.acc_seg": 61.07306, "loss": 0.70829, "time": 0.62975} +{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.42171, "decode.acc_seg": 68.60355, "aux.loss_seg": 0.27946, "aux.acc_seg": 62.10766, "loss": 0.70117, "time": 0.39406} +{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.45812, "decode.acc_seg": 65.92129, "aux.loss_seg": 0.28668, "aux.acc_seg": 59.40208, "loss": 0.74481, "time": 0.39572} +{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.44513, "decode.acc_seg": 66.04319, "aux.loss_seg": 0.28442, "aux.acc_seg": 59.65087, "loss": 0.72955, "time": 0.39557} +{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.41677, "decode.acc_seg": 68.4247, "aux.loss_seg": 0.28013, "aux.acc_seg": 61.21037, "loss": 0.6969, "time": 0.39561} +{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 17837, "data_time": 0.00666, "decode.loss_seg": 0.41737, "decode.acc_seg": 66.40146, "aux.loss_seg": 0.27582, "aux.acc_seg": 59.83946, "loss": 0.69319, "time": 0.39853} +{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.42367, "decode.acc_seg": 67.32695, "aux.loss_seg": 0.2823, "aux.acc_seg": 60.14555, "loss": 0.70597, "time": 0.39805} +{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.44369, "decode.acc_seg": 67.2581, "aux.loss_seg": 0.28696, "aux.acc_seg": 60.54695, "loss": 0.73065, "time": 0.40148} +{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.4397, "decode.acc_seg": 66.48322, "aux.loss_seg": 0.2825, "aux.acc_seg": 60.10652, "loss": 0.72221, "time": 0.40243} +{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.43748, "decode.acc_seg": 67.88467, "aux.loss_seg": 0.28247, "aux.acc_seg": 61.16366, "loss": 0.71995, "time": 0.39486} +{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.44403, "decode.acc_seg": 67.22997, "aux.loss_seg": 0.28226, "aux.acc_seg": 60.44621, "loss": 0.7263, "time": 0.40492} +{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.43396, "decode.acc_seg": 67.40559, "aux.loss_seg": 0.28948, "aux.acc_seg": 60.40442, "loss": 0.72344, "time": 0.4005} +{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.44737, "decode.acc_seg": 67.3059, "aux.loss_seg": 0.30532, "aux.acc_seg": 60.10806, "loss": 0.75269, "time": 0.40103} +{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.44837, "decode.acc_seg": 67.17969, "aux.loss_seg": 0.28358, "aux.acc_seg": 60.97552, "loss": 0.73195, "time": 0.40174} +{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.44077, "decode.acc_seg": 66.05051, "aux.loss_seg": 0.28596, "aux.acc_seg": 59.78309, "loss": 0.72673, "time": 0.39701} +{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.4271, "decode.acc_seg": 67.82187, "aux.loss_seg": 0.2763, "aux.acc_seg": 61.4517, "loss": 0.7034, "time": 0.40971} +{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.43781, "decode.acc_seg": 67.1734, "aux.loss_seg": 0.28412, "aux.acc_seg": 60.40132, "loss": 0.72193, "time": 0.41094} +{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.44067, "decode.acc_seg": 68.51108, "aux.loss_seg": 0.28202, "aux.acc_seg": 61.9832, "loss": 0.72269, "time": 0.3934} +{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.42376, "decode.acc_seg": 67.26958, "aux.loss_seg": 0.2795, "aux.acc_seg": 60.27248, "loss": 0.70325, "time": 0.39664} +{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.40519, "decode.acc_seg": 66.69842, "aux.loss_seg": 0.26457, "aux.acc_seg": 60.21773, "loss": 0.66975, "time": 0.39562} +{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.42711, "decode.acc_seg": 67.8293, "aux.loss_seg": 0.28819, "aux.acc_seg": 60.69563, "loss": 0.71531, "time": 0.39848} +{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.44441, "decode.acc_seg": 67.42231, "aux.loss_seg": 0.29025, "aux.acc_seg": 60.73903, "loss": 0.73466, "time": 0.39942} +{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.43192, "decode.acc_seg": 68.6433, "aux.loss_seg": 0.28206, "aux.acc_seg": 61.98807, "loss": 0.71398, "time": 0.40031} +{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.4503, "decode.acc_seg": 66.97344, "aux.loss_seg": 0.27894, "aux.acc_seg": 61.21295, "loss": 0.72924, "time": 0.39417} +{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.44627, "decode.acc_seg": 67.56731, "aux.loss_seg": 0.28787, "aux.acc_seg": 61.13084, "loss": 0.73414, "time": 0.40015} +{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 17837, "data_time": 0.24397, "decode.loss_seg": 0.43985, "decode.acc_seg": 66.99955, "aux.loss_seg": 0.27917, "aux.acc_seg": 60.91448, "loss": 0.71902, "time": 0.63341} +{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.40845, "decode.acc_seg": 67.54619, "aux.loss_seg": 0.27192, "aux.acc_seg": 61.03744, "loss": 0.68037, "time": 0.41284} +{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.42701, "decode.acc_seg": 68.44321, "aux.loss_seg": 0.28213, "aux.acc_seg": 61.58496, "loss": 0.70914, "time": 0.40005} +{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.41479, "decode.acc_seg": 67.19508, "aux.loss_seg": 0.27664, "aux.acc_seg": 60.36508, "loss": 0.69143, "time": 0.39683} +{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.43002, "decode.acc_seg": 67.39441, "aux.loss_seg": 0.27961, "aux.acc_seg": 60.61463, "loss": 0.70963, "time": 0.39359} +{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.40669, "decode.acc_seg": 66.44334, "aux.loss_seg": 0.27279, "aux.acc_seg": 59.13859, "loss": 0.67948, "time": 0.39323} +{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.43357, "decode.acc_seg": 66.33132, "aux.loss_seg": 0.27538, "aux.acc_seg": 60.3756, "loss": 0.70895, "time": 0.3981} +{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.43239, "decode.acc_seg": 67.56175, "aux.loss_seg": 0.28816, "aux.acc_seg": 60.44465, "loss": 0.72055, "time": 0.39709} +{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.44028, "decode.acc_seg": 68.46481, "aux.loss_seg": 0.28455, "aux.acc_seg": 61.70298, "loss": 0.72483, "time": 0.39376} +{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.40828, "decode.acc_seg": 67.60812, "aux.loss_seg": 0.26458, "aux.acc_seg": 61.46296, "loss": 0.67287, "time": 0.39631} +{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.43124, "decode.acc_seg": 66.05026, "aux.loss_seg": 0.28266, "aux.acc_seg": 59.18718, "loss": 0.7139, "time": 0.41213} +{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.44559, "decode.acc_seg": 66.67767, "aux.loss_seg": 0.27782, "aux.acc_seg": 60.75925, "loss": 0.72341, "time": 0.40449} +{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.42496, "decode.acc_seg": 68.37359, "aux.loss_seg": 0.28128, "aux.acc_seg": 61.16187, "loss": 0.70624, "time": 0.39507} +{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.44863, "decode.acc_seg": 66.59736, "aux.loss_seg": 0.28406, "aux.acc_seg": 60.13994, "loss": 0.73269, "time": 0.39657} +{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.43483, "decode.acc_seg": 65.96286, "aux.loss_seg": 0.27901, "aux.acc_seg": 59.27434, "loss": 0.71385, "time": 0.39359} +{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.41146, "decode.acc_seg": 67.47727, "aux.loss_seg": 0.27806, "aux.acc_seg": 60.48363, "loss": 0.68951, "time": 0.40394} +{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.44262, "decode.acc_seg": 67.42313, "aux.loss_seg": 0.28132, "aux.acc_seg": 61.25015, "loss": 0.72394, "time": 0.39511} +{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.43155, "decode.acc_seg": 66.4143, "aux.loss_seg": 0.27369, "aux.acc_seg": 60.35633, "loss": 0.70525, "time": 0.39518} +{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.42281, "decode.acc_seg": 68.17828, "aux.loss_seg": 0.27194, "aux.acc_seg": 62.34983, "loss": 0.69476, "time": 0.39681} +{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.45138, "decode.acc_seg": 66.49725, "aux.loss_seg": 0.29159, "aux.acc_seg": 59.96622, "loss": 0.74297, "time": 0.39519} +{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.4434, "decode.acc_seg": 67.86732, "aux.loss_seg": 0.28399, "aux.acc_seg": 61.10339, "loss": 0.72739, "time": 0.40985} +{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.42136, "decode.acc_seg": 68.13935, "aux.loss_seg": 0.27095, "aux.acc_seg": 61.9263, "loss": 0.69231, "time": 0.39776} +{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.44777, "decode.acc_seg": 66.21006, "aux.loss_seg": 0.28385, "aux.acc_seg": 59.97276, "loss": 0.73162, "time": 0.40173} +{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.41371, "decode.acc_seg": 67.62696, "aux.loss_seg": 0.27258, "aux.acc_seg": 60.68096, "loss": 0.6863, "time": 0.40126} +{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.43965, "decode.acc_seg": 67.37831, "aux.loss_seg": 0.27833, "aux.acc_seg": 61.01109, "loss": 0.71799, "time": 0.40161} +{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.41719, "decode.acc_seg": 66.71907, "aux.loss_seg": 0.27745, "aux.acc_seg": 60.0617, "loss": 0.69464, "time": 0.42308} +{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 17837, "data_time": 0.24347, "decode.loss_seg": 0.41607, "decode.acc_seg": 68.25152, "aux.loss_seg": 0.27012, "aux.acc_seg": 61.61908, "loss": 0.6862, "time": 0.63726} +{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.43939, "decode.acc_seg": 66.65289, "aux.loss_seg": 0.28052, "aux.acc_seg": 60.30584, "loss": 0.71991, "time": 0.39701} +{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.45536, "decode.acc_seg": 67.57415, "aux.loss_seg": 0.2973, "aux.acc_seg": 60.75391, "loss": 0.75266, "time": 0.39846} +{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.42972, "decode.acc_seg": 67.07812, "aux.loss_seg": 0.28354, "aux.acc_seg": 59.91282, "loss": 0.71326, "time": 0.3984} +{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.41395, "decode.acc_seg": 67.60526, "aux.loss_seg": 0.27552, "aux.acc_seg": 60.99885, "loss": 0.68947, "time": 0.39808} +{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.43255, "decode.acc_seg": 68.34655, "aux.loss_seg": 0.28886, "aux.acc_seg": 61.19365, "loss": 0.72141, "time": 0.39653} +{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.41536, "decode.acc_seg": 67.85623, "aux.loss_seg": 0.28028, "aux.acc_seg": 60.66141, "loss": 0.69564, "time": 0.39809} +{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.42414, "decode.acc_seg": 68.56937, "aux.loss_seg": 0.27778, "aux.acc_seg": 62.26802, "loss": 0.70192, "time": 0.39865} +{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.40811, "decode.acc_seg": 67.90161, "aux.loss_seg": 0.2743, "aux.acc_seg": 60.5713, "loss": 0.6824, "time": 0.39376} +{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.44703, "decode.acc_seg": 67.10715, "aux.loss_seg": 0.29539, "aux.acc_seg": 59.61743, "loss": 0.74242, "time": 0.39623} +{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.41622, "decode.acc_seg": 67.21089, "aux.loss_seg": 0.26544, "aux.acc_seg": 61.19516, "loss": 0.68166, "time": 0.41445} +{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.41073, "decode.acc_seg": 68.47357, "aux.loss_seg": 0.26932, "aux.acc_seg": 61.82479, "loss": 0.68004, "time": 0.40094} +{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.4104, "decode.acc_seg": 68.45877, "aux.loss_seg": 0.26947, "aux.acc_seg": 62.25731, "loss": 0.67986, "time": 0.39489} +{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.4287, "decode.acc_seg": 68.64444, "aux.loss_seg": 0.28393, "aux.acc_seg": 61.81837, "loss": 0.71263, "time": 0.41496} +{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.40853, "decode.acc_seg": 67.54095, "aux.loss_seg": 0.27247, "aux.acc_seg": 60.57108, "loss": 0.68099, "time": 0.40251} +{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.42098, "decode.acc_seg": 67.18301, "aux.loss_seg": 0.27147, "aux.acc_seg": 60.86028, "loss": 0.69245, "time": 0.39832} +{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.42963, "decode.acc_seg": 67.72689, "aux.loss_seg": 0.27876, "aux.acc_seg": 61.22237, "loss": 0.70839, "time": 0.39619} +{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.41687, "decode.acc_seg": 66.26763, "aux.loss_seg": 0.2749, "aux.acc_seg": 59.74463, "loss": 0.69178, "time": 0.39994} +{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.41573, "decode.acc_seg": 68.00362, "aux.loss_seg": 0.27784, "aux.acc_seg": 60.81329, "loss": 0.69357, "time": 0.39755} +{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.43872, "decode.acc_seg": 67.88767, "aux.loss_seg": 0.28656, "aux.acc_seg": 61.26065, "loss": 0.72527, "time": 0.39807} +{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.43321, "decode.acc_seg": 67.38944, "aux.loss_seg": 0.27404, "aux.acc_seg": 61.24858, "loss": 0.70724, "time": 0.40137} +{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.44555, "decode.acc_seg": 67.13815, "aux.loss_seg": 0.28978, "aux.acc_seg": 60.36391, "loss": 0.73533, "time": 0.40642} +{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.42383, "decode.acc_seg": 65.45291, "aux.loss_seg": 0.27108, "aux.acc_seg": 59.58058, "loss": 0.69491, "time": 0.40132} +{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.44423, "decode.acc_seg": 67.76447, "aux.loss_seg": 0.27511, "aux.acc_seg": 61.9864, "loss": 0.71934, "time": 0.39569} +{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.42837, "decode.acc_seg": 68.1587, "aux.loss_seg": 0.29318, "aux.acc_seg": 60.2486, "loss": 0.72155, "time": 0.39725} +{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 17837, "data_time": 0.24421, "decode.loss_seg": 0.42671, "decode.acc_seg": 68.31133, "aux.loss_seg": 0.28661, "aux.acc_seg": 60.78603, "loss": 0.71332, "time": 0.63227} +{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.42712, "decode.acc_seg": 66.50127, "aux.loss_seg": 0.27521, "aux.acc_seg": 60.10226, "loss": 0.70233, "time": 0.39471} +{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.42178, "decode.acc_seg": 67.11565, "aux.loss_seg": 0.28174, "aux.acc_seg": 60.12301, "loss": 0.70352, "time": 0.3959} +{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.42685, "decode.acc_seg": 67.67827, "aux.loss_seg": 0.28568, "aux.acc_seg": 60.05257, "loss": 0.71253, "time": 0.39857} +{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.42503, "decode.acc_seg": 68.05573, "aux.loss_seg": 0.27148, "aux.acc_seg": 61.83936, "loss": 0.69651, "time": 0.39645} +{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.41836, "decode.acc_seg": 68.28647, "aux.loss_seg": 0.27961, "aux.acc_seg": 61.18114, "loss": 0.69796, "time": 0.39556} +{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.43251, "decode.acc_seg": 67.73146, "aux.loss_seg": 0.28174, "aux.acc_seg": 61.30322, "loss": 0.71426, "time": 0.40371} +{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.41796, "decode.acc_seg": 68.28729, "aux.loss_seg": 0.27573, "aux.acc_seg": 61.52368, "loss": 0.69369, "time": 0.41775} +{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.40347, "decode.acc_seg": 66.631, "aux.loss_seg": 0.27222, "aux.acc_seg": 59.62425, "loss": 0.67569, "time": 0.39442} +{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.41399, "decode.acc_seg": 68.00547, "aux.loss_seg": 0.26849, "aux.acc_seg": 61.53717, "loss": 0.68247, "time": 0.39658} +{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.40428, "decode.acc_seg": 69.14339, "aux.loss_seg": 0.27078, "aux.acc_seg": 62.25703, "loss": 0.67506, "time": 0.40062} +{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.42492, "decode.acc_seg": 66.88687, "aux.loss_seg": 0.27518, "aux.acc_seg": 60.30637, "loss": 0.7001, "time": 0.41469} +{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.41201, "decode.acc_seg": 68.29438, "aux.loss_seg": 0.26841, "aux.acc_seg": 62.00013, "loss": 0.68042, "time": 0.41689} +{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.40935, "decode.acc_seg": 67.97988, "aux.loss_seg": 0.26706, "aux.acc_seg": 61.62018, "loss": 0.67641, "time": 0.40669} +{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.41099, "decode.acc_seg": 68.40829, "aux.loss_seg": 0.27904, "aux.acc_seg": 61.00729, "loss": 0.69004, "time": 0.39801} +{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.42384, "decode.acc_seg": 67.02053, "aux.loss_seg": 0.27778, "aux.acc_seg": 60.07685, "loss": 0.70162, "time": 0.39225} +{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.43003, "decode.acc_seg": 66.88602, "aux.loss_seg": 0.27057, "aux.acc_seg": 60.85043, "loss": 0.7006, "time": 0.40175} +{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.40473, "decode.acc_seg": 67.59917, "aux.loss_seg": 0.26817, "aux.acc_seg": 60.81375, "loss": 0.6729, "time": 0.39446} +{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.43368, "decode.acc_seg": 66.39373, "aux.loss_seg": 0.28602, "aux.acc_seg": 59.63172, "loss": 0.7197, "time": 0.40432} +{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.45893, "decode.acc_seg": 66.29771, "aux.loss_seg": 0.29479, "aux.acc_seg": 59.45635, "loss": 0.75373, "time": 0.39639} +{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.43931, "decode.acc_seg": 68.40468, "aux.loss_seg": 0.27971, "aux.acc_seg": 61.8462, "loss": 0.71901, "time": 0.39779} +{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.42578, "decode.acc_seg": 66.91823, "aux.loss_seg": 0.27701, "aux.acc_seg": 60.40381, "loss": 0.70279, "time": 0.40161} +{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.43031, "decode.acc_seg": 69.19984, "aux.loss_seg": 0.27935, "aux.acc_seg": 62.5244, "loss": 0.70965, "time": 0.40107} +{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.44564, "decode.acc_seg": 67.12869, "aux.loss_seg": 0.28683, "aux.acc_seg": 60.25892, "loss": 0.73247, "time": 0.40536} +{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.42689, "decode.acc_seg": 68.4722, "aux.loss_seg": 0.27827, "aux.acc_seg": 61.71421, "loss": 0.70516, "time": 0.40217} +{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 17837, "data_time": 0.24737, "decode.loss_seg": 0.43332, "decode.acc_seg": 67.12493, "aux.loss_seg": 0.27525, "aux.acc_seg": 60.62083, "loss": 0.70856, "time": 0.63765} +{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.42601, "decode.acc_seg": 67.36883, "aux.loss_seg": 0.28431, "aux.acc_seg": 60.08168, "loss": 0.71031, "time": 0.39671} +{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.40602, "decode.acc_seg": 67.07389, "aux.loss_seg": 0.26127, "aux.acc_seg": 61.1607, "loss": 0.66729, "time": 0.39505} +{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 17837, "data_time": 0.00688, "decode.loss_seg": 0.41798, "decode.acc_seg": 68.46155, "aux.loss_seg": 0.27599, "aux.acc_seg": 61.51472, "loss": 0.69397, "time": 0.39818} +{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.3784, "decode.acc_seg": 68.37047, "aux.loss_seg": 0.2636, "aux.acc_seg": 61.5459, "loss": 0.642, "time": 0.39743} +{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.40655, "decode.acc_seg": 67.8922, "aux.loss_seg": 0.27192, "aux.acc_seg": 61.14739, "loss": 0.67847, "time": 0.40839} +{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.3942, "decode.acc_seg": 68.28544, "aux.loss_seg": 0.27159, "aux.acc_seg": 60.6964, "loss": 0.66579, "time": 0.40923} +{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.38071, "decode.acc_seg": 68.51381, "aux.loss_seg": 0.26197, "aux.acc_seg": 61.72574, "loss": 0.64269, "time": 0.41642} +{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.39828, "decode.acc_seg": 68.70048, "aux.loss_seg": 0.26974, "aux.acc_seg": 62.12144, "loss": 0.66802, "time": 0.40742} +{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.39948, "decode.acc_seg": 67.93312, "aux.loss_seg": 0.26244, "aux.acc_seg": 61.68782, "loss": 0.66192, "time": 0.40117} +{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.39604, "decode.acc_seg": 68.35779, "aux.loss_seg": 0.26424, "aux.acc_seg": 61.57658, "loss": 0.66028, "time": 0.39681} +{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.39588, "decode.acc_seg": 68.80611, "aux.loss_seg": 0.27275, "aux.acc_seg": 61.38558, "loss": 0.66863, "time": 0.3935} +{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.42395, "decode.acc_seg": 66.56792, "aux.loss_seg": 0.27436, "aux.acc_seg": 60.19581, "loss": 0.69831, "time": 0.3965} +{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.4068, "decode.acc_seg": 67.54611, "aux.loss_seg": 0.27282, "aux.acc_seg": 60.84121, "loss": 0.67962, "time": 0.40157} +{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.41249, "decode.acc_seg": 67.39169, "aux.loss_seg": 0.27621, "aux.acc_seg": 60.49411, "loss": 0.68871, "time": 0.39019} +{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.42613, "decode.acc_seg": 68.27747, "aux.loss_seg": 0.27718, "aux.acc_seg": 61.82141, "loss": 0.70331, "time": 0.39197} +{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.39681, "decode.acc_seg": 67.27301, "aux.loss_seg": 0.26048, "aux.acc_seg": 61.10122, "loss": 0.6573, "time": 0.39788} +{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.40555, "decode.acc_seg": 68.64164, "aux.loss_seg": 0.26978, "aux.acc_seg": 61.98857, "loss": 0.67533, "time": 0.40298} +{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.44244, "decode.acc_seg": 66.90409, "aux.loss_seg": 0.27701, "aux.acc_seg": 60.35119, "loss": 0.71945, "time": 0.40252} +{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.40958, "decode.acc_seg": 68.49925, "aux.loss_seg": 0.27623, "aux.acc_seg": 61.36778, "loss": 0.68581, "time": 0.4015} +{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.40906, "decode.acc_seg": 69.1463, "aux.loss_seg": 0.2667, "aux.acc_seg": 62.54008, "loss": 0.67576, "time": 0.40022} +{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.40969, "decode.acc_seg": 66.04485, "aux.loss_seg": 0.26988, "aux.acc_seg": 59.58096, "loss": 0.67957, "time": 0.41106} +{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.4334, "decode.acc_seg": 67.71968, "aux.loss_seg": 0.28182, "aux.acc_seg": 61.02792, "loss": 0.71522, "time": 0.40563} +{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.40418, "decode.acc_seg": 68.25687, "aux.loss_seg": 0.26853, "aux.acc_seg": 61.23116, "loss": 0.67271, "time": 0.40618} +{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.40063, "decode.acc_seg": 66.94715, "aux.loss_seg": 0.25957, "aux.acc_seg": 60.88452, "loss": 0.6602, "time": 0.39788} +{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 17837, "data_time": 0.25118, "decode.loss_seg": 0.42705, "decode.acc_seg": 67.06864, "aux.loss_seg": 0.27786, "aux.acc_seg": 60.61, "loss": 0.70491, "time": 0.6519} +{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.37582, "decode.acc_seg": 68.83206, "aux.loss_seg": 0.26003, "aux.acc_seg": 61.75649, "loss": 0.63585, "time": 0.3975} +{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 17837, "data_time": 0.00687, "decode.loss_seg": 0.39622, "decode.acc_seg": 69.27311, "aux.loss_seg": 0.26817, "aux.acc_seg": 62.04324, "loss": 0.66439, "time": 0.39403} +{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.40674, "decode.acc_seg": 68.05973, "aux.loss_seg": 0.27641, "aux.acc_seg": 60.7736, "loss": 0.68315, "time": 0.39919} +{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.42932, "decode.acc_seg": 67.0773, "aux.loss_seg": 0.28274, "aux.acc_seg": 60.28821, "loss": 0.71205, "time": 0.39448} +{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.38483, "decode.acc_seg": 68.56118, "aux.loss_seg": 0.25568, "aux.acc_seg": 62.1083, "loss": 0.6405, "time": 0.40149} +{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.39868, "decode.acc_seg": 65.75719, "aux.loss_seg": 0.27372, "aux.acc_seg": 58.52483, "loss": 0.6724, "time": 0.40281} +{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.38427, "decode.acc_seg": 67.81407, "aux.loss_seg": 0.26908, "aux.acc_seg": 60.66359, "loss": 0.65335, "time": 0.40393} +{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.4046, "decode.acc_seg": 67.1673, "aux.loss_seg": 0.26687, "aux.acc_seg": 60.74656, "loss": 0.67146, "time": 0.41462} +{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.40676, "decode.acc_seg": 68.01982, "aux.loss_seg": 0.26446, "aux.acc_seg": 61.71352, "loss": 0.67122, "time": 0.39952} +{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.39878, "decode.acc_seg": 69.20634, "aux.loss_seg": 0.26881, "aux.acc_seg": 62.3378, "loss": 0.6676, "time": 0.39633} +{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.39846, "decode.acc_seg": 67.33795, "aux.loss_seg": 0.265, "aux.acc_seg": 61.06421, "loss": 0.66346, "time": 0.39936} +{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.41543, "decode.acc_seg": 68.01103, "aux.loss_seg": 0.27685, "aux.acc_seg": 60.94895, "loss": 0.69229, "time": 0.39806} +{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.40119, "decode.acc_seg": 68.25726, "aux.loss_seg": 0.27665, "aux.acc_seg": 61.41202, "loss": 0.67784, "time": 0.39971} +{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.41717, "decode.acc_seg": 67.35548, "aux.loss_seg": 0.27624, "aux.acc_seg": 60.39183, "loss": 0.69342, "time": 0.39873} +{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.41416, "decode.acc_seg": 67.64238, "aux.loss_seg": 0.27313, "aux.acc_seg": 60.55686, "loss": 0.68728, "time": 0.39807} +{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.3837, "decode.acc_seg": 68.23007, "aux.loss_seg": 0.25967, "aux.acc_seg": 61.72077, "loss": 0.64337, "time": 0.4022} +{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.40318, "decode.acc_seg": 68.84913, "aux.loss_seg": 0.26992, "aux.acc_seg": 61.87342, "loss": 0.6731, "time": 0.41896} +{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.39644, "decode.acc_seg": 66.82496, "aux.loss_seg": 0.2617, "aux.acc_seg": 60.3081, "loss": 0.65814, "time": 0.40003} +{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.39485, "decode.acc_seg": 67.42358, "aux.loss_seg": 0.26253, "aux.acc_seg": 60.59104, "loss": 0.65738, "time": 0.39568} +{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.38679, "decode.acc_seg": 67.618, "aux.loss_seg": 0.25805, "aux.acc_seg": 61.1615, "loss": 0.64485, "time": 0.39185} +{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.41924, "decode.acc_seg": 66.78759, "aux.loss_seg": 0.26795, "aux.acc_seg": 60.67199, "loss": 0.68719, "time": 0.39154} +{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.40878, "decode.acc_seg": 68.67027, "aux.loss_seg": 0.27228, "aux.acc_seg": 62.32037, "loss": 0.68106, "time": 0.39679} +{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.43483, "decode.acc_seg": 66.74724, "aux.loss_seg": 0.28069, "aux.acc_seg": 60.19151, "loss": 0.71551, "time": 0.4067} +{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.39682, "decode.acc_seg": 69.0214, "aux.loss_seg": 0.27432, "aux.acc_seg": 62.03231, "loss": 0.67114, "time": 0.39289} +{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.42749, "decode.acc_seg": 67.90664, "aux.loss_seg": 0.2736, "aux.acc_seg": 61.86346, "loss": 0.70109, "time": 0.39305} +{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 17837, "data_time": 0.24837, "decode.loss_seg": 0.39527, "decode.acc_seg": 68.35403, "aux.loss_seg": 0.27431, "aux.acc_seg": 61.16387, "loss": 0.66958, "time": 0.64504} +{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.39477, "decode.acc_seg": 67.23407, "aux.loss_seg": 0.26561, "aux.acc_seg": 60.53327, "loss": 0.66038, "time": 0.40299} +{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.39921, "decode.acc_seg": 66.40744, "aux.loss_seg": 0.26659, "aux.acc_seg": 59.48332, "loss": 0.6658, "time": 0.41309} +{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.40165, "decode.acc_seg": 67.72365, "aux.loss_seg": 0.27151, "aux.acc_seg": 60.79827, "loss": 0.67316, "time": 0.39465} +{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.41477, "decode.acc_seg": 68.78453, "aux.loss_seg": 0.27324, "aux.acc_seg": 62.00912, "loss": 0.68801, "time": 0.39314} +{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.39954, "decode.acc_seg": 67.74017, "aux.loss_seg": 0.27186, "aux.acc_seg": 60.45085, "loss": 0.67139, "time": 0.41522} +{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.38809, "decode.acc_seg": 67.59616, "aux.loss_seg": 0.26087, "aux.acc_seg": 60.64778, "loss": 0.64896, "time": 0.39254} +{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.3995, "decode.acc_seg": 68.01826, "aux.loss_seg": 0.26957, "aux.acc_seg": 61.67368, "loss": 0.66907, "time": 0.3937} +{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.42861, "decode.acc_seg": 67.81335, "aux.loss_seg": 0.28032, "aux.acc_seg": 61.03707, "loss": 0.70893, "time": 0.41315} +{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.41291, "decode.acc_seg": 68.96841, "aux.loss_seg": 0.2786, "aux.acc_seg": 61.66693, "loss": 0.69151, "time": 0.39744} +{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.39055, "decode.acc_seg": 68.32781, "aux.loss_seg": 0.25815, "aux.acc_seg": 61.79079, "loss": 0.6487, "time": 0.39348} +{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 17837, "data_time": 0.00563, "decode.loss_seg": 0.39952, "decode.acc_seg": 67.90822, "aux.loss_seg": 0.27488, "aux.acc_seg": 60.49161, "loss": 0.6744, "time": 0.39597} +{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.42573, "decode.acc_seg": 66.81257, "aux.loss_seg": 0.27689, "aux.acc_seg": 60.10254, "loss": 0.70262, "time": 0.39795} +{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.42022, "decode.acc_seg": 67.4061, "aux.loss_seg": 0.27418, "aux.acc_seg": 60.83523, "loss": 0.6944, "time": 0.4005} +{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.43404, "decode.acc_seg": 69.14535, "aux.loss_seg": 0.28671, "aux.acc_seg": 62.09366, "loss": 0.72074, "time": 0.41404} +{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.40328, "decode.acc_seg": 67.75501, "aux.loss_seg": 0.27069, "aux.acc_seg": 60.66759, "loss": 0.67396, "time": 0.39541} +{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.40305, "decode.acc_seg": 68.73043, "aux.loss_seg": 0.26317, "aux.acc_seg": 62.37269, "loss": 0.66622, "time": 0.40264} +{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.40135, "decode.acc_seg": 67.32887, "aux.loss_seg": 0.25907, "aux.acc_seg": 61.19538, "loss": 0.66042, "time": 0.39529} +{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.38625, "decode.acc_seg": 68.05856, "aux.loss_seg": 0.25608, "aux.acc_seg": 61.725, "loss": 0.64233, "time": 0.40146} +{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.39267, "decode.acc_seg": 67.14917, "aux.loss_seg": 0.26075, "aux.acc_seg": 60.97089, "loss": 0.65342, "time": 0.40088} +{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.39042, "decode.acc_seg": 67.4483, "aux.loss_seg": 0.2632, "aux.acc_seg": 60.6155, "loss": 0.65362, "time": 0.4023} +{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.41782, "decode.acc_seg": 67.98262, "aux.loss_seg": 0.26086, "aux.acc_seg": 61.88985, "loss": 0.67868, "time": 0.39748} +{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.41678, "decode.acc_seg": 67.10926, "aux.loss_seg": 0.27973, "aux.acc_seg": 60.4103, "loss": 0.69651, "time": 0.40642} +{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.3957, "decode.acc_seg": 69.15466, "aux.loss_seg": 0.2598, "aux.acc_seg": 62.61297, "loss": 0.6555, "time": 0.39285} +{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.40452, "decode.acc_seg": 68.3237, "aux.loss_seg": 0.26735, "aux.acc_seg": 61.92316, "loss": 0.67187, "time": 0.39802} +{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 17837, "data_time": 0.24858, "decode.loss_seg": 0.40564, "decode.acc_seg": 70.04742, "aux.loss_seg": 0.27305, "aux.acc_seg": 62.95808, "loss": 0.67869, "time": 0.63411} +{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.36558, "decode.acc_seg": 68.32156, "aux.loss_seg": 0.25288, "aux.acc_seg": 61.21847, "loss": 0.61846, "time": 0.3922} +{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.41202, "decode.acc_seg": 68.20042, "aux.loss_seg": 0.26683, "aux.acc_seg": 62.11611, "loss": 0.67884, "time": 0.39087} +{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.38616, "decode.acc_seg": 67.45688, "aux.loss_seg": 0.25798, "aux.acc_seg": 60.93477, "loss": 0.64415, "time": 0.39749} +{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.38544, "decode.acc_seg": 67.07235, "aux.loss_seg": 0.26368, "aux.acc_seg": 60.37811, "loss": 0.64912, "time": 0.40893} +{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.39801, "decode.acc_seg": 66.53301, "aux.loss_seg": 0.26759, "aux.acc_seg": 59.91695, "loss": 0.6656, "time": 0.39431} +{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.38968, "decode.acc_seg": 67.90068, "aux.loss_seg": 0.26058, "aux.acc_seg": 61.4556, "loss": 0.65026, "time": 0.39424} +{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.4113, "decode.acc_seg": 66.97206, "aux.loss_seg": 0.27135, "aux.acc_seg": 60.2289, "loss": 0.68265, "time": 0.39226} +{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.41216, "decode.acc_seg": 70.07221, "aux.loss_seg": 0.27036, "aux.acc_seg": 63.70822, "loss": 0.68253, "time": 0.39463} +{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.39713, "decode.acc_seg": 68.18045, "aux.loss_seg": 0.2667, "aux.acc_seg": 61.6402, "loss": 0.66384, "time": 0.39339} +{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.38993, "decode.acc_seg": 67.41266, "aux.loss_seg": 0.25884, "aux.acc_seg": 61.23726, "loss": 0.64877, "time": 0.39586} +{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.40371, "decode.acc_seg": 67.72717, "aux.loss_seg": 0.26552, "aux.acc_seg": 61.27075, "loss": 0.66923, "time": 0.41012} +{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.41749, "decode.acc_seg": 68.41204, "aux.loss_seg": 0.2758, "aux.acc_seg": 61.44677, "loss": 0.69329, "time": 0.41151} +{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.42584, "decode.acc_seg": 68.78236, "aux.loss_seg": 0.28378, "aux.acc_seg": 61.55962, "loss": 0.70962, "time": 0.39533} +{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 17837, "data_time": 0.00556, "decode.loss_seg": 0.41324, "decode.acc_seg": 67.42039, "aux.loss_seg": 0.27472, "aux.acc_seg": 60.51653, "loss": 0.68795, "time": 0.39473} +{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.39232, "decode.acc_seg": 68.44465, "aux.loss_seg": 0.26298, "aux.acc_seg": 61.21987, "loss": 0.6553, "time": 0.39434} +{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.39322, "decode.acc_seg": 69.00333, "aux.loss_seg": 0.26533, "aux.acc_seg": 62.53259, "loss": 0.65855, "time": 0.39398} +{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.39219, "decode.acc_seg": 68.53259, "aux.loss_seg": 0.2725, "aux.acc_seg": 60.93305, "loss": 0.66469, "time": 0.39109} +{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.40327, "decode.acc_seg": 68.88542, "aux.loss_seg": 0.26395, "aux.acc_seg": 62.07123, "loss": 0.66722, "time": 0.39697} +{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.40918, "decode.acc_seg": 68.15498, "aux.loss_seg": 0.26751, "aux.acc_seg": 61.44879, "loss": 0.67669, "time": 0.39177} +{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.41128, "decode.acc_seg": 67.97471, "aux.loss_seg": 0.2715, "aux.acc_seg": 61.22303, "loss": 0.68278, "time": 0.39387} +{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.38738, "decode.acc_seg": 69.55285, "aux.loss_seg": 0.25975, "aux.acc_seg": 62.97793, "loss": 0.64713, "time": 0.39861} +{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 17837, "data_time": 0.00548, "decode.loss_seg": 0.39134, "decode.acc_seg": 69.52927, "aux.loss_seg": 0.26355, "aux.acc_seg": 62.76408, "loss": 0.65489, "time": 0.39225} +{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.38458, "decode.acc_seg": 67.65808, "aux.loss_seg": 0.26537, "aux.acc_seg": 61.05791, "loss": 0.64995, "time": 0.39882} +{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.39191, "decode.acc_seg": 67.47006, "aux.loss_seg": 0.26087, "aux.acc_seg": 60.72981, "loss": 0.65278, "time": 0.39926} +{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 17837, "data_time": 0.24031, "decode.loss_seg": 0.40963, "decode.acc_seg": 67.21395, "aux.loss_seg": 0.26247, "aux.acc_seg": 61.01904, "loss": 0.6721, "time": 0.63115} +{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.41405, "decode.acc_seg": 67.39279, "aux.loss_seg": 0.27441, "aux.acc_seg": 60.44051, "loss": 0.68846, "time": 0.39636} +{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.38532, "decode.acc_seg": 68.81094, "aux.loss_seg": 0.26047, "aux.acc_seg": 62.24793, "loss": 0.64579, "time": 0.3976} +{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.40252, "decode.acc_seg": 68.67496, "aux.loss_seg": 0.26601, "aux.acc_seg": 61.49725, "loss": 0.66853, "time": 0.39806} +{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.383, "decode.acc_seg": 68.16539, "aux.loss_seg": 0.26323, "aux.acc_seg": 61.30962, "loss": 0.64623, "time": 0.40566} +{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.38317, "decode.acc_seg": 69.40251, "aux.loss_seg": 0.25443, "aux.acc_seg": 62.79939, "loss": 0.6376, "time": 0.39815} +{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 17837, "data_time": 0.0056, "decode.loss_seg": 0.40394, "decode.acc_seg": 67.02718, "aux.loss_seg": 0.26967, "aux.acc_seg": 60.11858, "loss": 0.67361, "time": 0.39948} +{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.39649, "decode.acc_seg": 70.09439, "aux.loss_seg": 0.26792, "aux.acc_seg": 63.16837, "loss": 0.66441, "time": 0.39522} +{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.38478, "decode.acc_seg": 67.75574, "aux.loss_seg": 0.25877, "aux.acc_seg": 61.3886, "loss": 0.64355, "time": 0.39608} +{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.40746, "decode.acc_seg": 68.43883, "aux.loss_seg": 0.27877, "aux.acc_seg": 61.01519, "loss": 0.68623, "time": 0.39791} +{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.40307, "decode.acc_seg": 68.77673, "aux.loss_seg": 0.26429, "aux.acc_seg": 62.42844, "loss": 0.66736, "time": 0.39852} +{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.38543, "decode.acc_seg": 68.59472, "aux.loss_seg": 0.25444, "aux.acc_seg": 62.33332, "loss": 0.63986, "time": 0.39996} +{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.39198, "decode.acc_seg": 67.52183, "aux.loss_seg": 0.26272, "aux.acc_seg": 61.26621, "loss": 0.6547, "time": 0.39913} +{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 17837, "data_time": 0.00545, "decode.loss_seg": 0.40319, "decode.acc_seg": 69.06204, "aux.loss_seg": 0.26534, "aux.acc_seg": 62.61785, "loss": 0.66853, "time": 0.39709} +{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.40629, "decode.acc_seg": 67.9882, "aux.loss_seg": 0.267, "aux.acc_seg": 61.34235, "loss": 0.67329, "time": 0.39767} +{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.40435, "decode.acc_seg": 66.93597, "aux.loss_seg": 0.27069, "aux.acc_seg": 59.97613, "loss": 0.67504, "time": 0.39576} +{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 17837, "data_time": 0.00541, "decode.loss_seg": 0.38407, "decode.acc_seg": 69.0374, "aux.loss_seg": 0.25479, "aux.acc_seg": 62.45211, "loss": 0.63886, "time": 0.39305} +{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.3837, "decode.acc_seg": 68.10314, "aux.loss_seg": 0.25294, "aux.acc_seg": 61.52713, "loss": 0.63664, "time": 0.39588} +{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 17837, "data_time": 0.00551, "decode.loss_seg": 0.38705, "decode.acc_seg": 67.52311, "aux.loss_seg": 0.26088, "aux.acc_seg": 60.80438, "loss": 0.64794, "time": 0.39411} +{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.38773, "decode.acc_seg": 69.41597, "aux.loss_seg": 0.26104, "aux.acc_seg": 63.08373, "loss": 0.64877, "time": 0.39982} +{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 17837, "data_time": 0.0056, "decode.loss_seg": 0.39878, "decode.acc_seg": 67.77712, "aux.loss_seg": 0.27202, "aux.acc_seg": 60.6555, "loss": 0.6708, "time": 0.39571} +{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.3855, "decode.acc_seg": 67.31556, "aux.loss_seg": 0.25747, "aux.acc_seg": 60.83672, "loss": 0.64297, "time": 0.39726} +{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.39096, "decode.acc_seg": 67.82428, "aux.loss_seg": 0.27059, "aux.acc_seg": 60.88993, "loss": 0.66155, "time": 0.39905} +{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.38163, "decode.acc_seg": 68.27534, "aux.loss_seg": 0.25428, "aux.acc_seg": 61.8887, "loss": 0.63591, "time": 0.40003} +{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.38844, "decode.acc_seg": 69.6351, "aux.loss_seg": 0.26843, "aux.acc_seg": 62.33828, "loss": 0.65686, "time": 0.39987} +{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4275, "mAcc": 0.5553, "aAcc": 0.8027, "IoU.wall": 0.7374, "IoU.building": 0.8112, "IoU.sky": 0.9357, "IoU.floor": 0.7813, "IoU.tree": 0.728, "IoU.ceiling": 0.8142, "IoU.road": 0.7927, "IoU.bed ": 0.8377, "IoU.windowpane": 0.5828, "IoU.grass": 0.6292, "IoU.cabinet": 0.5412, "IoU.sidewalk": 0.5877, "IoU.person": 0.7565, "IoU.earth": 0.3313, "IoU.door": 0.3671, "IoU.table": 0.4972, "IoU.mountain": 0.5339, "IoU.plant": 0.506, "IoU.curtain": 0.6676, "IoU.chair": 0.4687, "IoU.car": 0.8081, "IoU.water": 0.5518, "IoU.painting": 0.6636, "IoU.sofa": 0.5566, "IoU.shelf": 0.366, "IoU.house": 0.4937, "IoU.sea": 0.5773, "IoU.mirror": 0.5494, "IoU.rug": 0.6375, "IoU.field": 0.2823, "IoU.armchair": 0.3188, "IoU.seat": 0.5793, "IoU.fence": 0.3624, "IoU.desk": 0.4108, "IoU.rock": 0.4216, "IoU.wardrobe": 0.405, "IoU.lamp": 0.5171, "IoU.bathtub": 0.6583, "IoU.railing": 0.3476, "IoU.cushion": 0.4923, "IoU.base": 0.3023, "IoU.box": 0.227, "IoU.column": 0.405, "IoU.signboard": 0.3082, "IoU.chest of drawers": 0.3532, "IoU.counter": 0.2994, "IoU.sand": 0.3429, "IoU.sink": 0.6214, "IoU.skyscraper": 0.5526, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5957, "IoU.grandstand": 0.4133, "IoU.path": 0.1927, "IoU.stairs": 0.2692, "IoU.runway": 0.7212, "IoU.case": 0.475, "IoU.pool table": 0.8694, "IoU.pillow": 0.4459, "IoU.screen door": 0.5216, "IoU.stairway": 0.2737, "IoU.river": 0.2236, "IoU.bridge": 0.5814, "IoU.bookcase": 0.3663, "IoU.blind": NaN, "IoU.coffee table": 0.4831, "IoU.toilet": 0.7839, "IoU.flower": 0.4091, "IoU.book": 0.4249, "IoU.hill": 0.0926, "IoU.bench": 0.3434, "IoU.countertop": 0.5005, "IoU.stove": 0.6631, "IoU.palm": 0.4537, "IoU.kitchen island": 0.2709, "IoU.computer": 0.624, "IoU.swivel chair": 0.3786, "IoU.boat": 0.3499, "IoU.bar": 0.4225, "IoU.arcade machine": 0.7015, "IoU.hovel": 0.4474, "IoU.bus": 0.7605, "IoU.towel": 0.5826, "IoU.light": 0.3802, "IoU.truck": 0.1278, "IoU.tower": 0.1764, "IoU.chandelier": 0.5902, "IoU.awning": 0.2341, "IoU.streetlight": 0.1718, "IoU.booth": 0.5075, "IoU.television receiver": NaN, "IoU.airplane": 0.517, "IoU.dirt track": 0.1129, "IoU.apparel": 0.2504, "IoU.pole": 0.099, "IoU.land": 0.0435, "IoU.bannister": 0.0067, "IoU.escalator": 0.2348, "IoU.ottoman": 0.3328, "IoU.bottle": NaN, "IoU.buffet": 0.4243, "IoU.poster": 0.2644, "IoU.stage": 0.1347, "IoU.van": 0.375, "IoU.ship": 0.573, "IoU.fountain": 0.3597, "IoU.conveyer belt": 0.4213, "IoU.canopy": 0.1695, "IoU.washer": 0.6335, "IoU.plaything": 0.2014, "IoU.swimming pool": 0.5194, "IoU.stool": 0.2864, "IoU.barrel": 0.4247, "IoU.basket": 0.2157, "IoU.waterfall": 0.6276, "IoU.tent": 0.8295, "IoU.bag": 0.0601, "IoU.minibike": 0.68, "IoU.cradle": NaN, "IoU.oven": 0.2565, "IoU.ball": 0.2227, "IoU.food": 0.4426, "IoU.step": 0.0343, "IoU.tank": 0.4911, "IoU.trade name": 0.1182, "IoU.microwave": 0.7092, "IoU.pot": 0.465, "IoU.animal": NaN, "IoU.bicycle": 0.4987, "IoU.lake": 0.4367, "IoU.dishwasher": 0.4484, "IoU.screen": 0.59, "IoU.blanket": 0.0472, "IoU.sculpture": 0.4762, "IoU.hood": 0.4486, "IoU.sconce": 0.2554, "IoU.vase": 0.2605, "IoU.traffic light": 0.1658, "IoU.tray": 0.0301, "IoU.ashcan": 0.2847, "IoU.fan": 0.5111, "IoU.pier": 0.2939, "IoU.crt screen": 0.0383, "IoU.plate": 0.5149, "IoU.monitor": 0.0942, "IoU.bulletin board": 0.3203, "IoU.shower": 0.0, "IoU.radiator": 0.5633, "IoU.glass": 0.0761, "IoU.clock": 0.1675, "IoU.flag": 0.3494, "Acc.wall": 0.8573, "Acc.building": 0.9218, "Acc.sky": 0.965, "Acc.floor": 0.8866, "Acc.tree": 0.8723, "Acc.ceiling": 0.9105, "Acc.road": 0.893, "Acc.bed ": 0.9418, "Acc.windowpane": 0.754, "Acc.grass": 0.7966, "Acc.cabinet": 0.6612, "Acc.sidewalk": 0.7379, "Acc.person": 0.8709, "Acc.earth": 0.4471, "Acc.door": 0.4874, "Acc.table": 0.6559, "Acc.mountain": 0.6348, "Acc.plant": 0.6245, "Acc.curtain": 0.7815, "Acc.chair": 0.6004, "Acc.car": 0.9078, "Acc.water": 0.7373, "Acc.painting": 0.7944, "Acc.sofa": 0.7259, "Acc.shelf": 0.5423, "Acc.house": 0.6948, "Acc.sea": 0.8069, "Acc.mirror": 0.669, "Acc.rug": 0.7314, "Acc.field": 0.4785, "Acc.armchair": 0.4915, "Acc.seat": 0.8428, "Acc.fence": 0.5092, "Acc.desk": 0.6729, "Acc.rock": 0.646, "Acc.wardrobe": 0.6446, "Acc.lamp": 0.6577, "Acc.bathtub": 0.7563, "Acc.railing": 0.4411, "Acc.cushion": 0.7026, "Acc.base": 0.4128, "Acc.box": 0.2966, "Acc.column": 0.5121, "Acc.signboard": 0.4094, "Acc.chest of drawers": 0.5184, "Acc.counter": 0.4443, "Acc.sand": 0.4843, "Acc.sink": 0.7206, "Acc.skyscraper": 0.7193, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8393, "Acc.grandstand": 0.6897, "Acc.path": 0.3442, "Acc.stairs": 0.3265, "Acc.runway": 0.9229, "Acc.case": 0.6203, "Acc.pool table": 0.9424, "Acc.pillow": 0.5153, "Acc.screen door": 0.8308, "Acc.stairway": 0.4095, "Acc.river": 0.3897, "Acc.bridge": 0.8393, "Acc.bookcase": 0.5057, "Acc.blind": NaN, "Acc.coffee table": 0.7886, "Acc.toilet": 0.8528, "Acc.flower": 0.5448, "Acc.book": 0.5933, "Acc.hill": 0.2309, "Acc.bench": 0.4888, "Acc.countertop": 0.7206, "Acc.stove": 0.8082, "Acc.palm": 0.6657, "Acc.kitchen island": 0.6577, "Acc.computer": 0.7738, "Acc.swivel chair": 0.6281, "Acc.boat": 0.4916, "Acc.bar": 0.55, "Acc.arcade machine": 0.7703, "Acc.hovel": 0.4978, "Acc.bus": 0.9264, "Acc.towel": 0.6978, "Acc.light": 0.4003, "Acc.truck": 0.1573, "Acc.tower": 0.2642, "Acc.chandelier": 0.7408, "Acc.awning": 0.2784, "Acc.streetlight": 0.225, "Acc.booth": 0.5751, "Acc.television receiver": NaN, "Acc.airplane": 0.5972, "Acc.dirt track": 0.4185, "Acc.apparel": 0.3826, "Acc.pole": 0.1151, "Acc.land": 0.059, "Acc.bannister": 0.008, "Acc.escalator": 0.3532, "Acc.ottoman": 0.4322, "Acc.bottle": NaN, "Acc.buffet": 0.4571, "Acc.poster": 0.3035, "Acc.stage": 0.2734, "Acc.van": 0.5085, "Acc.ship": 0.9389, "Acc.fountain": 0.393, "Acc.conveyer belt": 0.9246, "Acc.canopy": 0.2622, "Acc.washer": 0.7002, "Acc.plaything": 0.2817, "Acc.swimming pool": 0.5648, "Acc.stool": 0.345, "Acc.barrel": 0.6395, "Acc.basket": 0.2467, "Acc.waterfall": 0.8363, "Acc.tent": 0.9924, "Acc.bag": 0.0673, "Acc.minibike": 0.8566, "Acc.cradle": NaN, "Acc.oven": 0.3425, "Acc.ball": 0.2267, "Acc.food": 0.5047, "Acc.step": 0.0378, "Acc.tank": 0.608, "Acc.trade name": 0.1216, "Acc.microwave": 0.8179, "Acc.pot": 0.5265, "Acc.animal": NaN, "Acc.bicycle": 0.726, "Acc.lake": 0.4547, "Acc.dishwasher": 0.6781, "Acc.screen": 0.8406, "Acc.blanket": 0.0507, "Acc.sculpture": 0.6142, "Acc.hood": 0.5677, "Acc.sconce": 0.2775, "Acc.vase": 0.3332, "Acc.traffic light": 0.2032, "Acc.tray": 0.0339, "Acc.ashcan": 0.363, "Acc.fan": 0.6819, "Acc.pier": 0.5435, "Acc.crt screen": 0.1116, "Acc.plate": 0.6848, "Acc.monitor": 0.1361, "Acc.bulletin board": 0.4033, "Acc.shower": 0.0, "Acc.radiator": 0.6674, "Acc.glass": 0.0798, "Acc.clock": 0.2086, "Acc.flag": 0.3912} +{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 17837, "data_time": 1.46516, "decode.loss_seg": 0.39638, "decode.acc_seg": 69.04454, "aux.loss_seg": 0.26887, "aux.acc_seg": 62.18186, "loss": 0.66525, "time": 1.86201} +{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.39876, "decode.acc_seg": 67.31514, "aux.loss_seg": 0.26042, "aux.acc_seg": 60.81817, "loss": 0.65918, "time": 0.39575} +{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 17837, "data_time": 0.0054, "decode.loss_seg": 0.38134, "decode.acc_seg": 69.12698, "aux.loss_seg": 0.25598, "aux.acc_seg": 62.75093, "loss": 0.63732, "time": 0.40422} +{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.39165, "decode.acc_seg": 68.17907, "aux.loss_seg": 0.27267, "aux.acc_seg": 61.00828, "loss": 0.66432, "time": 0.41232} +{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 17837, "data_time": 0.00527, "decode.loss_seg": 0.39234, "decode.acc_seg": 68.50017, "aux.loss_seg": 0.26788, "aux.acc_seg": 61.49424, "loss": 0.66023, "time": 0.39775} +{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 17837, "data_time": 0.0054, "decode.loss_seg": 0.40307, "decode.acc_seg": 69.37158, "aux.loss_seg": 0.27697, "aux.acc_seg": 61.85114, "loss": 0.68003, "time": 0.39478} +{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.37792, "decode.acc_seg": 68.19758, "aux.loss_seg": 0.26093, "aux.acc_seg": 61.15102, "loss": 0.63885, "time": 0.39826} +{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.40215, "decode.acc_seg": 68.0272, "aux.loss_seg": 0.26282, "aux.acc_seg": 61.52961, "loss": 0.66497, "time": 0.39615} +{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.37789, "decode.acc_seg": 70.05593, "aux.loss_seg": 0.26064, "aux.acc_seg": 63.20694, "loss": 0.63853, "time": 0.39498} +{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.37945, "decode.acc_seg": 68.06155, "aux.loss_seg": 0.24706, "aux.acc_seg": 62.2297, "loss": 0.62651, "time": 0.3954} +{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.40984, "decode.acc_seg": 67.1721, "aux.loss_seg": 0.26415, "aux.acc_seg": 60.76432, "loss": 0.674, "time": 0.39377} +{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.41003, "decode.acc_seg": 67.93861, "aux.loss_seg": 0.2669, "aux.acc_seg": 61.0902, "loss": 0.67693, "time": 0.39889} +{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 17837, "data_time": 0.00547, "decode.loss_seg": 0.35704, "decode.acc_seg": 68.32753, "aux.loss_seg": 0.24905, "aux.acc_seg": 61.48847, "loss": 0.60609, "time": 0.39144} +{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.37706, "decode.acc_seg": 68.08194, "aux.loss_seg": 0.25495, "aux.acc_seg": 61.65461, "loss": 0.63201, "time": 0.39718} +{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 17837, "data_time": 0.0054, "decode.loss_seg": 0.41397, "decode.acc_seg": 68.18155, "aux.loss_seg": 0.27262, "aux.acc_seg": 61.46571, "loss": 0.68659, "time": 0.40029} +{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.39565, "decode.acc_seg": 69.12204, "aux.loss_seg": 0.27336, "aux.acc_seg": 62.11959, "loss": 0.66901, "time": 0.39254} +{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 17837, "data_time": 0.00554, "decode.loss_seg": 0.37857, "decode.acc_seg": 68.7472, "aux.loss_seg": 0.25975, "aux.acc_seg": 61.95651, "loss": 0.63832, "time": 0.39101} +{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.39223, "decode.acc_seg": 68.51862, "aux.loss_seg": 0.25814, "aux.acc_seg": 61.98652, "loss": 0.65037, "time": 0.39824} +{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3705, "decode.acc_seg": 69.55301, "aux.loss_seg": 0.24767, "aux.acc_seg": 63.29931, "loss": 0.61817, "time": 0.39366} +{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.41612, "decode.acc_seg": 70.27571, "aux.loss_seg": 0.28437, "aux.acc_seg": 62.7823, "loss": 0.70049, "time": 0.39189} +{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.3965, "decode.acc_seg": 68.5746, "aux.loss_seg": 0.26426, "aux.acc_seg": 61.72634, "loss": 0.66077, "time": 0.39469} +{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.39945, "decode.acc_seg": 67.60032, "aux.loss_seg": 0.26902, "aux.acc_seg": 60.83078, "loss": 0.66848, "time": 0.39262} +{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.39258, "decode.acc_seg": 69.52495, "aux.loss_seg": 0.26682, "aux.acc_seg": 62.30928, "loss": 0.6594, "time": 0.40243} +{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.38661, "decode.acc_seg": 68.41443, "aux.loss_seg": 0.25139, "aux.acc_seg": 62.23753, "loss": 0.638, "time": 0.40294} +{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 17837, "data_time": 0.00666, "decode.loss_seg": 0.3924, "decode.acc_seg": 68.3035, "aux.loss_seg": 0.27289, "aux.acc_seg": 60.82364, "loss": 0.66529, "time": 0.41857} +{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 17837, "data_time": 0.23848, "decode.loss_seg": 0.38385, "decode.acc_seg": 68.26541, "aux.loss_seg": 0.26136, "aux.acc_seg": 61.26213, "loss": 0.64521, "time": 0.63037} +{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.38003, "decode.acc_seg": 68.18225, "aux.loss_seg": 0.25672, "aux.acc_seg": 61.7613, "loss": 0.63675, "time": 0.4096} +{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.39274, "decode.acc_seg": 67.58483, "aux.loss_seg": 0.27193, "aux.acc_seg": 60.27585, "loss": 0.66468, "time": 0.39477} +{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.40261, "decode.acc_seg": 68.4338, "aux.loss_seg": 0.27497, "aux.acc_seg": 61.2383, "loss": 0.67758, "time": 0.39529} +{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.39221, "decode.acc_seg": 65.96892, "aux.loss_seg": 0.26566, "aux.acc_seg": 59.09612, "loss": 0.65786, "time": 0.40206} +{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.37791, "decode.acc_seg": 69.89359, "aux.loss_seg": 0.25578, "aux.acc_seg": 63.31719, "loss": 0.63369, "time": 0.40245} +{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.37178, "decode.acc_seg": 68.93779, "aux.loss_seg": 0.25322, "aux.acc_seg": 62.41638, "loss": 0.625, "time": 0.39762} +{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.37701, "decode.acc_seg": 67.36549, "aux.loss_seg": 0.25038, "aux.acc_seg": 61.19973, "loss": 0.62739, "time": 0.39406} +{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.38966, "decode.acc_seg": 68.44894, "aux.loss_seg": 0.25483, "aux.acc_seg": 62.62514, "loss": 0.64449, "time": 0.39485} +{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.4023, "decode.acc_seg": 67.98775, "aux.loss_seg": 0.27247, "aux.acc_seg": 61.13711, "loss": 0.67478, "time": 0.40111} +{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.37775, "decode.acc_seg": 69.75597, "aux.loss_seg": 0.26245, "aux.acc_seg": 62.42199, "loss": 0.6402, "time": 0.40225} +{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.38559, "decode.acc_seg": 69.9635, "aux.loss_seg": 0.26462, "aux.acc_seg": 62.98551, "loss": 0.65021, "time": 0.39267} +{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.38336, "decode.acc_seg": 68.49114, "aux.loss_seg": 0.26, "aux.acc_seg": 61.97652, "loss": 0.64336, "time": 0.39552} +{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.39225, "decode.acc_seg": 69.22861, "aux.loss_seg": 0.26852, "aux.acc_seg": 61.97371, "loss": 0.66078, "time": 0.39994} +{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.38087, "decode.acc_seg": 68.55774, "aux.loss_seg": 0.2541, "aux.acc_seg": 61.96461, "loss": 0.63497, "time": 0.39692} +{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.38578, "decode.acc_seg": 69.80471, "aux.loss_seg": 0.26708, "aux.acc_seg": 63.20052, "loss": 0.65286, "time": 0.40071} +{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.37977, "decode.acc_seg": 69.69349, "aux.loss_seg": 0.25892, "aux.acc_seg": 62.65621, "loss": 0.63868, "time": 0.41124} +{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.40101, "decode.acc_seg": 69.62249, "aux.loss_seg": 0.2659, "aux.acc_seg": 62.86439, "loss": 0.66691, "time": 0.40502} +{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.37041, "decode.acc_seg": 69.79141, "aux.loss_seg": 0.24849, "aux.acc_seg": 63.39266, "loss": 0.61891, "time": 0.39993} +{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.3593, "decode.acc_seg": 69.54696, "aux.loss_seg": 0.24336, "aux.acc_seg": 63.22898, "loss": 0.60266, "time": 0.39578} +{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.39351, "decode.acc_seg": 68.91986, "aux.loss_seg": 0.26483, "aux.acc_seg": 62.07312, "loss": 0.65834, "time": 0.40762} +{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.40569, "decode.acc_seg": 68.13303, "aux.loss_seg": 0.26334, "aux.acc_seg": 61.97615, "loss": 0.66903, "time": 0.41436} +{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.37617, "decode.acc_seg": 67.44222, "aux.loss_seg": 0.25721, "aux.acc_seg": 60.55151, "loss": 0.63338, "time": 0.39624} +{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.39362, "decode.acc_seg": 68.6804, "aux.loss_seg": 0.27143, "aux.acc_seg": 61.41089, "loss": 0.66504, "time": 0.39825} +{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.39394, "decode.acc_seg": 67.92971, "aux.loss_seg": 0.2634, "aux.acc_seg": 61.11122, "loss": 0.65734, "time": 0.40694} +{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 17837, "data_time": 0.24581, "decode.loss_seg": 0.37578, "decode.acc_seg": 68.54217, "aux.loss_seg": 0.26199, "aux.acc_seg": 61.55047, "loss": 0.63777, "time": 0.6347} +{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.3701, "decode.acc_seg": 69.51389, "aux.loss_seg": 0.25404, "aux.acc_seg": 62.8047, "loss": 0.62414, "time": 0.40219} +{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35971, "decode.acc_seg": 68.70959, "aux.loss_seg": 0.2493, "aux.acc_seg": 62.0737, "loss": 0.60901, "time": 0.40472} +{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.37015, "decode.acc_seg": 69.20905, "aux.loss_seg": 0.25589, "aux.acc_seg": 62.34382, "loss": 0.62604, "time": 0.39559} +{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.38346, "decode.acc_seg": 69.96174, "aux.loss_seg": 0.26332, "aux.acc_seg": 62.79492, "loss": 0.64678, "time": 0.4105} +{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.37413, "decode.acc_seg": 69.54028, "aux.loss_seg": 0.26361, "aux.acc_seg": 62.17512, "loss": 0.63775, "time": 0.41652} +{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.37943, "decode.acc_seg": 69.65695, "aux.loss_seg": 0.26242, "aux.acc_seg": 62.2891, "loss": 0.64185, "time": 0.40704} +{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.37181, "decode.acc_seg": 69.93068, "aux.loss_seg": 0.2552, "aux.acc_seg": 62.95578, "loss": 0.62702, "time": 0.39418} +{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.3772, "decode.acc_seg": 68.72414, "aux.loss_seg": 0.25985, "aux.acc_seg": 62.04007, "loss": 0.63705, "time": 0.39787} +{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.38952, "decode.acc_seg": 69.08524, "aux.loss_seg": 0.26853, "aux.acc_seg": 62.072, "loss": 0.65805, "time": 0.39832} +{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.38806, "decode.acc_seg": 67.97481, "aux.loss_seg": 0.26344, "aux.acc_seg": 61.29169, "loss": 0.65151, "time": 0.39777} +{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.37732, "decode.acc_seg": 68.63641, "aux.loss_seg": 0.26175, "aux.acc_seg": 61.56278, "loss": 0.63907, "time": 0.39396} +{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.38272, "decode.acc_seg": 68.17342, "aux.loss_seg": 0.25813, "aux.acc_seg": 61.43126, "loss": 0.64085, "time": 0.3944} +{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36845, "decode.acc_seg": 69.51491, "aux.loss_seg": 0.25341, "aux.acc_seg": 62.82245, "loss": 0.62186, "time": 0.3948} +{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.37606, "decode.acc_seg": 71.13966, "aux.loss_seg": 0.26109, "aux.acc_seg": 63.76137, "loss": 0.63715, "time": 0.39787} +{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.34548, "decode.acc_seg": 67.84675, "aux.loss_seg": 0.23085, "aux.acc_seg": 61.94886, "loss": 0.57633, "time": 0.39315} +{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.38542, "decode.acc_seg": 69.49633, "aux.loss_seg": 0.25689, "aux.acc_seg": 62.97684, "loss": 0.64231, "time": 0.40178} +{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.38522, "decode.acc_seg": 66.40663, "aux.loss_seg": 0.25976, "aux.acc_seg": 59.54964, "loss": 0.64498, "time": 0.39619} +{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.37479, "decode.acc_seg": 69.56712, "aux.loss_seg": 0.25804, "aux.acc_seg": 62.20281, "loss": 0.63283, "time": 0.3962} +{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.3982, "decode.acc_seg": 69.35508, "aux.loss_seg": 0.26892, "aux.acc_seg": 62.5902, "loss": 0.66713, "time": 0.4007} +{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.39159, "decode.acc_seg": 67.49738, "aux.loss_seg": 0.2634, "aux.acc_seg": 60.74451, "loss": 0.65499, "time": 0.39569} +{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.36132, "decode.acc_seg": 69.14413, "aux.loss_seg": 0.25294, "aux.acc_seg": 62.24201, "loss": 0.61426, "time": 0.39981} +{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.3991, "decode.acc_seg": 66.70306, "aux.loss_seg": 0.26475, "aux.acc_seg": 59.90679, "loss": 0.66385, "time": 0.40462} +{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.39745, "decode.acc_seg": 67.88974, "aux.loss_seg": 0.26402, "aux.acc_seg": 61.08717, "loss": 0.66147, "time": 0.39294} +{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.39102, "decode.acc_seg": 66.93216, "aux.loss_seg": 0.25687, "aux.acc_seg": 60.67971, "loss": 0.64789, "time": 0.39434} +{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 17837, "data_time": 0.24462, "decode.loss_seg": 0.40852, "decode.acc_seg": 68.91551, "aux.loss_seg": 0.26358, "aux.acc_seg": 62.75127, "loss": 0.6721, "time": 0.63513} +{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.3544, "decode.acc_seg": 70.33343, "aux.loss_seg": 0.2423, "aux.acc_seg": 64.10632, "loss": 0.5967, "time": 0.39646} +{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.36819, "decode.acc_seg": 69.22368, "aux.loss_seg": 0.2572, "aux.acc_seg": 62.19805, "loss": 0.62539, "time": 0.39487} +{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.35826, "decode.acc_seg": 67.9507, "aux.loss_seg": 0.24522, "aux.acc_seg": 61.11842, "loss": 0.60348, "time": 0.3964} +{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.38764, "decode.acc_seg": 69.74723, "aux.loss_seg": 0.26891, "aux.acc_seg": 62.45294, "loss": 0.65655, "time": 0.39541} +{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.38359, "decode.acc_seg": 68.29654, "aux.loss_seg": 0.25662, "aux.acc_seg": 62.18689, "loss": 0.64021, "time": 0.39806} +{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.37003, "decode.acc_seg": 68.03999, "aux.loss_seg": 0.25427, "aux.acc_seg": 61.22247, "loss": 0.6243, "time": 0.3949} +{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.37753, "decode.acc_seg": 70.08989, "aux.loss_seg": 0.25954, "aux.acc_seg": 62.92466, "loss": 0.63706, "time": 0.39979} +{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.38388, "decode.acc_seg": 68.00438, "aux.loss_seg": 0.26532, "aux.acc_seg": 60.82287, "loss": 0.6492, "time": 0.41163} +{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.36556, "decode.acc_seg": 67.77259, "aux.loss_seg": 0.25255, "aux.acc_seg": 60.83423, "loss": 0.61811, "time": 0.39948} +{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.35818, "decode.acc_seg": 68.55349, "aux.loss_seg": 0.24948, "aux.acc_seg": 61.45574, "loss": 0.60766, "time": 0.39859} +{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.384, "decode.acc_seg": 68.41141, "aux.loss_seg": 0.26313, "aux.acc_seg": 61.58839, "loss": 0.64713, "time": 0.40254} +{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.36915, "decode.acc_seg": 70.39862, "aux.loss_seg": 0.25376, "aux.acc_seg": 63.53649, "loss": 0.62291, "time": 0.39341} +{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.37918, "decode.acc_seg": 68.82617, "aux.loss_seg": 0.25705, "aux.acc_seg": 62.42569, "loss": 0.63623, "time": 0.39344} +{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36607, "decode.acc_seg": 68.07153, "aux.loss_seg": 0.24357, "aux.acc_seg": 62.14546, "loss": 0.60964, "time": 0.39615} +{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.36848, "decode.acc_seg": 68.33375, "aux.loss_seg": 0.25336, "aux.acc_seg": 61.40151, "loss": 0.62185, "time": 0.39438} +{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.3433, "decode.acc_seg": 67.69958, "aux.loss_seg": 0.23493, "aux.acc_seg": 61.38128, "loss": 0.57823, "time": 0.39198} +{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.37566, "decode.acc_seg": 69.85651, "aux.loss_seg": 0.26194, "aux.acc_seg": 62.75759, "loss": 0.6376, "time": 0.39933} +{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3959, "decode.acc_seg": 68.85895, "aux.loss_seg": 0.26841, "aux.acc_seg": 61.52141, "loss": 0.66431, "time": 0.39877} +{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.38012, "decode.acc_seg": 69.20031, "aux.loss_seg": 0.25856, "aux.acc_seg": 62.89083, "loss": 0.63869, "time": 0.41161} +{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.37216, "decode.acc_seg": 68.5102, "aux.loss_seg": 0.25066, "aux.acc_seg": 62.04743, "loss": 0.62283, "time": 0.39531} +{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.37741, "decode.acc_seg": 69.71246, "aux.loss_seg": 0.25507, "aux.acc_seg": 63.17114, "loss": 0.63249, "time": 0.40442} +{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.42033, "decode.acc_seg": 69.39557, "aux.loss_seg": 0.27473, "aux.acc_seg": 62.79084, "loss": 0.69507, "time": 0.40367} +{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.385, "decode.acc_seg": 66.91705, "aux.loss_seg": 0.25477, "aux.acc_seg": 60.88023, "loss": 0.63977, "time": 0.39682} +{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.38668, "decode.acc_seg": 68.85928, "aux.loss_seg": 0.26294, "aux.acc_seg": 61.72953, "loss": 0.64962, "time": 0.40529} +{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 17837, "data_time": 0.24125, "decode.loss_seg": 0.38086, "decode.acc_seg": 69.14462, "aux.loss_seg": 0.25813, "aux.acc_seg": 62.48989, "loss": 0.63899, "time": 0.62837} +{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.35298, "decode.acc_seg": 69.71239, "aux.loss_seg": 0.2523, "aux.acc_seg": 62.60453, "loss": 0.60529, "time": 0.39491} +{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.35713, "decode.acc_seg": 70.17553, "aux.loss_seg": 0.24245, "aux.acc_seg": 63.71521, "loss": 0.59959, "time": 0.39645} +{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.33356, "decode.acc_seg": 70.05771, "aux.loss_seg": 0.23638, "aux.acc_seg": 63.08243, "loss": 0.56994, "time": 0.40188} +{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.38256, "decode.acc_seg": 69.27669, "aux.loss_seg": 0.25935, "aux.acc_seg": 62.69657, "loss": 0.64192, "time": 0.41219} +{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36432, "decode.acc_seg": 68.39481, "aux.loss_seg": 0.25403, "aux.acc_seg": 61.68851, "loss": 0.61835, "time": 0.39653} +{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.37373, "decode.acc_seg": 67.89546, "aux.loss_seg": 0.25977, "aux.acc_seg": 61.04596, "loss": 0.6335, "time": 0.39555} +{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.37292, "decode.acc_seg": 69.11715, "aux.loss_seg": 0.26183, "aux.acc_seg": 61.61702, "loss": 0.63475, "time": 0.41552} +{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.3757, "decode.acc_seg": 69.35492, "aux.loss_seg": 0.26851, "aux.acc_seg": 61.86413, "loss": 0.64421, "time": 0.4022} +{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.373, "decode.acc_seg": 68.49096, "aux.loss_seg": 0.2556, "aux.acc_seg": 61.83231, "loss": 0.6286, "time": 0.39412} +{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 17837, "data_time": 0.00702, "decode.loss_seg": 0.36597, "decode.acc_seg": 68.90171, "aux.loss_seg": 0.26055, "aux.acc_seg": 61.53824, "loss": 0.62652, "time": 0.42038} +{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.36294, "decode.acc_seg": 68.88481, "aux.loss_seg": 0.25283, "aux.acc_seg": 62.03003, "loss": 0.61577, "time": 0.40982} +{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.35655, "decode.acc_seg": 68.98882, "aux.loss_seg": 0.24691, "aux.acc_seg": 62.37428, "loss": 0.60346, "time": 0.39779} +{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.34424, "decode.acc_seg": 70.31882, "aux.loss_seg": 0.23246, "aux.acc_seg": 64.24973, "loss": 0.57669, "time": 0.40263} +{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.35934, "decode.acc_seg": 69.74796, "aux.loss_seg": 0.24271, "aux.acc_seg": 63.15639, "loss": 0.60205, "time": 0.392} +{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.39017, "decode.acc_seg": 68.55735, "aux.loss_seg": 0.26808, "aux.acc_seg": 61.89546, "loss": 0.65825, "time": 0.39366} +{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.39403, "decode.acc_seg": 69.34217, "aux.loss_seg": 0.2708, "aux.acc_seg": 62.09409, "loss": 0.66483, "time": 0.40109} +{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.36775, "decode.acc_seg": 68.57645, "aux.loss_seg": 0.24636, "aux.acc_seg": 62.44585, "loss": 0.61411, "time": 0.39211} +{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.37423, "decode.acc_seg": 69.50223, "aux.loss_seg": 0.25704, "aux.acc_seg": 62.62619, "loss": 0.63126, "time": 0.40072} +{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.36771, "decode.acc_seg": 68.34114, "aux.loss_seg": 0.25289, "aux.acc_seg": 61.55321, "loss": 0.6206, "time": 0.40638} +{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.39467, "decode.acc_seg": 67.56369, "aux.loss_seg": 0.27094, "aux.acc_seg": 60.30381, "loss": 0.66562, "time": 0.39897} +{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.37449, "decode.acc_seg": 68.57965, "aux.loss_seg": 0.25721, "aux.acc_seg": 61.78273, "loss": 0.6317, "time": 0.40604} +{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.38649, "decode.acc_seg": 68.21012, "aux.loss_seg": 0.26464, "aux.acc_seg": 60.94329, "loss": 0.65113, "time": 0.40939} +{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.39182, "decode.acc_seg": 68.25214, "aux.loss_seg": 0.25251, "aux.acc_seg": 62.59275, "loss": 0.64434, "time": 0.4015} +{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.37214, "decode.acc_seg": 68.91707, "aux.loss_seg": 0.25304, "aux.acc_seg": 62.14671, "loss": 0.62517, "time": 0.40524} +{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.397, "decode.acc_seg": 66.52666, "aux.loss_seg": 0.25608, "aux.acc_seg": 60.24205, "loss": 0.65308, "time": 0.39531} +{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 17837, "data_time": 0.242, "decode.loss_seg": 0.37837, "decode.acc_seg": 69.09564, "aux.loss_seg": 0.24766, "aux.acc_seg": 63.29543, "loss": 0.62603, "time": 0.62901} +{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.38072, "decode.acc_seg": 69.20593, "aux.loss_seg": 0.25424, "aux.acc_seg": 62.39134, "loss": 0.63495, "time": 0.39519} +{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.36655, "decode.acc_seg": 69.84471, "aux.loss_seg": 0.24387, "aux.acc_seg": 63.72207, "loss": 0.61042, "time": 0.40829} +{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.36857, "decode.acc_seg": 69.49931, "aux.loss_seg": 0.26068, "aux.acc_seg": 62.3723, "loss": 0.62925, "time": 0.41338} +{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.37349, "decode.acc_seg": 69.09173, "aux.loss_seg": 0.25314, "aux.acc_seg": 62.57942, "loss": 0.62663, "time": 0.41058} +{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.35322, "decode.acc_seg": 69.26731, "aux.loss_seg": 0.23956, "aux.acc_seg": 63.00239, "loss": 0.59277, "time": 0.41344} +{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.36346, "decode.acc_seg": 68.36228, "aux.loss_seg": 0.25188, "aux.acc_seg": 61.69428, "loss": 0.61533, "time": 0.40999} +{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.39788, "decode.acc_seg": 69.20683, "aux.loss_seg": 0.25519, "aux.acc_seg": 62.60337, "loss": 0.65307, "time": 0.39639} +{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.37221, "decode.acc_seg": 69.04008, "aux.loss_seg": 0.25544, "aux.acc_seg": 62.26136, "loss": 0.62765, "time": 0.39391} +{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.37513, "decode.acc_seg": 68.92075, "aux.loss_seg": 0.25968, "aux.acc_seg": 61.92434, "loss": 0.63481, "time": 0.393} +{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.37008, "decode.acc_seg": 68.01765, "aux.loss_seg": 0.25473, "aux.acc_seg": 61.25239, "loss": 0.62481, "time": 0.39318} +{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.36252, "decode.acc_seg": 67.79276, "aux.loss_seg": 0.24602, "aux.acc_seg": 61.30296, "loss": 0.60854, "time": 0.39982} +{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.3725, "decode.acc_seg": 68.42162, "aux.loss_seg": 0.25598, "aux.acc_seg": 61.13718, "loss": 0.62848, "time": 0.40691} +{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.36328, "decode.acc_seg": 68.18258, "aux.loss_seg": 0.25169, "aux.acc_seg": 61.35588, "loss": 0.61497, "time": 0.41256} +{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.35361, "decode.acc_seg": 69.60387, "aux.loss_seg": 0.24578, "aux.acc_seg": 62.73207, "loss": 0.59938, "time": 0.40511} +{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.34808, "decode.acc_seg": 69.82738, "aux.loss_seg": 0.24003, "aux.acc_seg": 63.22391, "loss": 0.58811, "time": 0.40341} +{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.36879, "decode.acc_seg": 69.04303, "aux.loss_seg": 0.26245, "aux.acc_seg": 61.76247, "loss": 0.63124, "time": 0.39652} +{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.41579, "decode.acc_seg": 68.42012, "aux.loss_seg": 0.27923, "aux.acc_seg": 61.24851, "loss": 0.69502, "time": 0.39723} +{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3898, "decode.acc_seg": 68.11983, "aux.loss_seg": 0.26589, "aux.acc_seg": 61.29435, "loss": 0.65569, "time": 0.39893} +{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.38455, "decode.acc_seg": 68.54131, "aux.loss_seg": 0.25314, "aux.acc_seg": 62.18011, "loss": 0.6377, "time": 0.40273} +{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.35508, "decode.acc_seg": 70.30281, "aux.loss_seg": 0.24635, "aux.acc_seg": 63.42671, "loss": 0.60143, "time": 0.40674} +{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.36897, "decode.acc_seg": 67.97948, "aux.loss_seg": 0.25717, "aux.acc_seg": 60.97712, "loss": 0.62614, "time": 0.40551} +{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.38168, "decode.acc_seg": 68.97829, "aux.loss_seg": 0.26867, "aux.acc_seg": 61.82977, "loss": 0.65035, "time": 0.40514} +{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.3519, "decode.acc_seg": 68.5427, "aux.loss_seg": 0.24392, "aux.acc_seg": 62.32802, "loss": 0.59582, "time": 0.39346} +{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.38396, "decode.acc_seg": 70.02617, "aux.loss_seg": 0.26292, "aux.acc_seg": 63.11836, "loss": 0.64687, "time": 0.39847} +{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 17837, "data_time": 0.24413, "decode.loss_seg": 0.341, "decode.acc_seg": 69.4059, "aux.loss_seg": 0.23726, "aux.acc_seg": 63.04953, "loss": 0.57826, "time": 0.63376} +{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.35071, "decode.acc_seg": 69.18803, "aux.loss_seg": 0.24531, "aux.acc_seg": 62.6234, "loss": 0.59601, "time": 0.4015} +{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.37159, "decode.acc_seg": 70.42736, "aux.loss_seg": 0.25476, "aux.acc_seg": 63.8492, "loss": 0.62635, "time": 0.39086} +{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.35543, "decode.acc_seg": 68.39583, "aux.loss_seg": 0.24705, "aux.acc_seg": 61.81924, "loss": 0.60248, "time": 0.40459} +{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.3576, "decode.acc_seg": 68.77522, "aux.loss_seg": 0.24717, "aux.acc_seg": 62.2001, "loss": 0.60477, "time": 0.40042} +{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.36057, "decode.acc_seg": 69.09532, "aux.loss_seg": 0.25283, "aux.acc_seg": 62.66064, "loss": 0.61339, "time": 0.39315} +{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.34881, "decode.acc_seg": 68.14627, "aux.loss_seg": 0.24099, "aux.acc_seg": 61.58642, "loss": 0.5898, "time": 0.39472} +{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.35504, "decode.acc_seg": 68.3209, "aux.loss_seg": 0.24825, "aux.acc_seg": 61.24742, "loss": 0.60328, "time": 0.39755} +{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.36357, "decode.acc_seg": 69.25217, "aux.loss_seg": 0.24811, "aux.acc_seg": 62.62854, "loss": 0.61168, "time": 0.3996} +{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.37325, "decode.acc_seg": 69.25816, "aux.loss_seg": 0.26531, "aux.acc_seg": 62.00403, "loss": 0.63857, "time": 0.41377} +{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.37725, "decode.acc_seg": 71.22055, "aux.loss_seg": 0.25682, "aux.acc_seg": 64.41842, "loss": 0.63406, "time": 0.39536} +{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.36619, "decode.acc_seg": 68.8723, "aux.loss_seg": 0.25742, "aux.acc_seg": 61.69027, "loss": 0.62361, "time": 0.41087} +{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.35081, "decode.acc_seg": 69.51723, "aux.loss_seg": 0.24698, "aux.acc_seg": 62.82414, "loss": 0.59779, "time": 0.40372} +{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.36358, "decode.acc_seg": 69.93831, "aux.loss_seg": 0.25646, "aux.acc_seg": 63.40787, "loss": 0.62004, "time": 0.39077} +{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.33788, "decode.acc_seg": 68.48576, "aux.loss_seg": 0.24606, "aux.acc_seg": 61.29839, "loss": 0.58394, "time": 0.41036} +{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.36135, "decode.acc_seg": 69.2884, "aux.loss_seg": 0.25033, "aux.acc_seg": 62.82536, "loss": 0.61168, "time": 0.40353} +{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.34728, "decode.acc_seg": 70.41389, "aux.loss_seg": 0.24535, "aux.acc_seg": 63.82077, "loss": 0.59263, "time": 0.39953} +{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.36976, "decode.acc_seg": 69.88037, "aux.loss_seg": 0.2493, "aux.acc_seg": 63.18821, "loss": 0.61905, "time": 0.39447} +{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.34837, "decode.acc_seg": 69.17354, "aux.loss_seg": 0.23967, "aux.acc_seg": 62.6908, "loss": 0.58805, "time": 0.39356} +{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.35697, "decode.acc_seg": 67.94644, "aux.loss_seg": 0.24957, "aux.acc_seg": 61.20959, "loss": 0.60654, "time": 0.40863} +{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.35481, "decode.acc_seg": 68.06247, "aux.loss_seg": 0.25393, "aux.acc_seg": 61.03313, "loss": 0.60874, "time": 0.39638} +{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.36737, "decode.acc_seg": 69.19496, "aux.loss_seg": 0.25835, "aux.acc_seg": 62.21765, "loss": 0.62572, "time": 0.40502} +{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.38114, "decode.acc_seg": 68.27548, "aux.loss_seg": 0.26524, "aux.acc_seg": 61.24099, "loss": 0.64638, "time": 0.39313} +{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.38915, "decode.acc_seg": 68.52425, "aux.loss_seg": 0.26052, "aux.acc_seg": 61.8213, "loss": 0.64966, "time": 0.39435} +{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.35697, "decode.acc_seg": 69.76862, "aux.loss_seg": 0.25276, "aux.acc_seg": 62.5398, "loss": 0.60972, "time": 0.39592} +{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 17837, "data_time": 0.23867, "decode.loss_seg": 0.3873, "decode.acc_seg": 68.39521, "aux.loss_seg": 0.25925, "aux.acc_seg": 61.77354, "loss": 0.64655, "time": 0.62902} +{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.36263, "decode.acc_seg": 69.31038, "aux.loss_seg": 0.2456, "aux.acc_seg": 62.78863, "loss": 0.60823, "time": 0.3967} +{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.37463, "decode.acc_seg": 69.51286, "aux.loss_seg": 0.25459, "aux.acc_seg": 62.63908, "loss": 0.62922, "time": 0.39264} +{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35214, "decode.acc_seg": 69.02644, "aux.loss_seg": 0.24033, "aux.acc_seg": 62.6782, "loss": 0.59247, "time": 0.3921} +{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.3639, "decode.acc_seg": 69.31517, "aux.loss_seg": 0.25444, "aux.acc_seg": 62.25523, "loss": 0.61835, "time": 0.39405} +{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.35088, "decode.acc_seg": 71.08917, "aux.loss_seg": 0.24774, "aux.acc_seg": 63.99433, "loss": 0.59863, "time": 0.40164} +{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.36988, "decode.acc_seg": 68.72405, "aux.loss_seg": 0.25442, "aux.acc_seg": 61.79624, "loss": 0.6243, "time": 0.39451} +{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.35684, "decode.acc_seg": 70.27903, "aux.loss_seg": 0.25167, "aux.acc_seg": 63.48038, "loss": 0.60851, "time": 0.39964} +{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36269, "decode.acc_seg": 68.57297, "aux.loss_seg": 0.25474, "aux.acc_seg": 61.87007, "loss": 0.61743, "time": 0.39317} +{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.37573, "decode.acc_seg": 69.5607, "aux.loss_seg": 0.26441, "aux.acc_seg": 62.14498, "loss": 0.64014, "time": 0.39855} +{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.38009, "decode.acc_seg": 68.70511, "aux.loss_seg": 0.26927, "aux.acc_seg": 61.32087, "loss": 0.64936, "time": 0.3935} +{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.35269, "decode.acc_seg": 70.39779, "aux.loss_seg": 0.24723, "aux.acc_seg": 63.64057, "loss": 0.59992, "time": 0.40084} +{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.37523, "decode.acc_seg": 69.15541, "aux.loss_seg": 0.25675, "aux.acc_seg": 62.28551, "loss": 0.63198, "time": 0.39757} +{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.3563, "decode.acc_seg": 68.84474, "aux.loss_seg": 0.24965, "aux.acc_seg": 61.85127, "loss": 0.60595, "time": 0.39521} +{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.35994, "decode.acc_seg": 69.44914, "aux.loss_seg": 0.24517, "aux.acc_seg": 63.35356, "loss": 0.60512, "time": 0.39077} +{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.37731, "decode.acc_seg": 68.92248, "aux.loss_seg": 0.26356, "aux.acc_seg": 61.79424, "loss": 0.64087, "time": 0.41485} +{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.3498, "decode.acc_seg": 69.42111, "aux.loss_seg": 0.24929, "aux.acc_seg": 62.53203, "loss": 0.59909, "time": 0.39658} +{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.37784, "decode.acc_seg": 69.26268, "aux.loss_seg": 0.25696, "aux.acc_seg": 62.71553, "loss": 0.6348, "time": 0.39836} +{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.36965, "decode.acc_seg": 68.33296, "aux.loss_seg": 0.25445, "aux.acc_seg": 61.71767, "loss": 0.62411, "time": 0.40791} +{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.36406, "decode.acc_seg": 67.05079, "aux.loss_seg": 0.24318, "aux.acc_seg": 60.79363, "loss": 0.60725, "time": 0.39414} +{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.39228, "decode.acc_seg": 68.61831, "aux.loss_seg": 0.26221, "aux.acc_seg": 61.96643, "loss": 0.65448, "time": 0.3961} +{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.36088, "decode.acc_seg": 69.85056, "aux.loss_seg": 0.25505, "aux.acc_seg": 62.73942, "loss": 0.61594, "time": 0.3957} +{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.37971, "decode.acc_seg": 70.40998, "aux.loss_seg": 0.25623, "aux.acc_seg": 63.66444, "loss": 0.63594, "time": 0.39975} +{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.3635, "decode.acc_seg": 70.13861, "aux.loss_seg": 0.25835, "aux.acc_seg": 62.82651, "loss": 0.62185, "time": 0.39425} +{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.36078, "decode.acc_seg": 69.23659, "aux.loss_seg": 0.2496, "aux.acc_seg": 62.56667, "loss": 0.61038, "time": 0.40034} +{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 17837, "data_time": 0.24562, "decode.loss_seg": 0.36567, "decode.acc_seg": 69.89035, "aux.loss_seg": 0.25028, "aux.acc_seg": 63.47378, "loss": 0.61595, "time": 0.64208} +{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.36692, "decode.acc_seg": 71.02018, "aux.loss_seg": 0.24694, "aux.acc_seg": 64.62458, "loss": 0.61387, "time": 0.39104} +{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.35689, "decode.acc_seg": 69.68286, "aux.loss_seg": 0.24972, "aux.acc_seg": 62.82831, "loss": 0.6066, "time": 0.39057} +{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.33968, "decode.acc_seg": 69.40066, "aux.loss_seg": 0.24206, "aux.acc_seg": 62.3262, "loss": 0.58174, "time": 0.39173} +{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.34733, "decode.acc_seg": 69.62868, "aux.loss_seg": 0.24924, "aux.acc_seg": 62.78662, "loss": 0.59657, "time": 0.39848} +{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.35814, "decode.acc_seg": 69.34294, "aux.loss_seg": 0.25196, "aux.acc_seg": 62.2263, "loss": 0.6101, "time": 0.39382} +{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.34653, "decode.acc_seg": 70.08648, "aux.loss_seg": 0.24366, "aux.acc_seg": 63.16307, "loss": 0.59019, "time": 0.39627} +{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.34511, "decode.acc_seg": 69.43122, "aux.loss_seg": 0.24166, "aux.acc_seg": 62.87615, "loss": 0.58677, "time": 0.39599} +{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.34519, "decode.acc_seg": 71.85824, "aux.loss_seg": 0.24095, "aux.acc_seg": 64.97006, "loss": 0.58614, "time": 0.39159} +{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.34659, "decode.acc_seg": 67.54892, "aux.loss_seg": 0.24512, "aux.acc_seg": 60.59981, "loss": 0.59172, "time": 0.39457} +{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.35105, "decode.acc_seg": 69.18306, "aux.loss_seg": 0.24859, "aux.acc_seg": 62.491, "loss": 0.59964, "time": 0.39132} +{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.35492, "decode.acc_seg": 69.39825, "aux.loss_seg": 0.24289, "aux.acc_seg": 62.79211, "loss": 0.59781, "time": 0.3931} +{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.34559, "decode.acc_seg": 71.07473, "aux.loss_seg": 0.24612, "aux.acc_seg": 64.32965, "loss": 0.59171, "time": 0.39959} +{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.35943, "decode.acc_seg": 69.56261, "aux.loss_seg": 0.25549, "aux.acc_seg": 62.27107, "loss": 0.61492, "time": 0.39772} +{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.35774, "decode.acc_seg": 69.65991, "aux.loss_seg": 0.24803, "aux.acc_seg": 62.92579, "loss": 0.60577, "time": 0.3961} +{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.3552, "decode.acc_seg": 69.7678, "aux.loss_seg": 0.23841, "aux.acc_seg": 63.3919, "loss": 0.59361, "time": 0.39439} +{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.35824, "decode.acc_seg": 69.61782, "aux.loss_seg": 0.25288, "aux.acc_seg": 62.83966, "loss": 0.61112, "time": 0.39432} +{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.39438, "decode.acc_seg": 68.89471, "aux.loss_seg": 0.26319, "aux.acc_seg": 62.27077, "loss": 0.65757, "time": 0.39639} +{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 17837, "data_time": 0.00539, "decode.loss_seg": 0.3558, "decode.acc_seg": 67.38704, "aux.loss_seg": 0.23294, "aux.acc_seg": 61.62516, "loss": 0.58874, "time": 0.39747} +{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.38147, "decode.acc_seg": 69.21797, "aux.loss_seg": 0.25438, "aux.acc_seg": 62.42008, "loss": 0.63585, "time": 0.4018} +{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.3517, "decode.acc_seg": 68.98992, "aux.loss_seg": 0.23805, "aux.acc_seg": 62.46586, "loss": 0.58975, "time": 0.39405} +{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 17837, "data_time": 0.00549, "decode.loss_seg": 0.36796, "decode.acc_seg": 68.60765, "aux.loss_seg": 0.25168, "aux.acc_seg": 62.18516, "loss": 0.61964, "time": 0.39359} +{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.37654, "decode.acc_seg": 69.47269, "aux.loss_seg": 0.25503, "aux.acc_seg": 62.8199, "loss": 0.63158, "time": 0.39466} +{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 17837, "data_time": 0.00554, "decode.loss_seg": 0.36202, "decode.acc_seg": 69.17375, "aux.loss_seg": 0.25437, "aux.acc_seg": 62.22784, "loss": 0.6164, "time": 0.39106} +{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.33458, "decode.acc_seg": 69.78233, "aux.loss_seg": 0.23845, "aux.acc_seg": 62.87453, "loss": 0.57303, "time": 0.39482} +{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.36868, "decode.acc_seg": 69.85848, "aux.loss_seg": 0.25242, "aux.acc_seg": 62.92103, "loss": 0.6211, "time": 0.39487} +{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 17837, "data_time": 0.24036, "decode.loss_seg": 0.34418, "decode.acc_seg": 69.63571, "aux.loss_seg": 0.24188, "aux.acc_seg": 63.13332, "loss": 0.58607, "time": 0.63163} +{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.3494, "decode.acc_seg": 67.83322, "aux.loss_seg": 0.24369, "aux.acc_seg": 61.15151, "loss": 0.59309, "time": 0.39716} +{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.35593, "decode.acc_seg": 70.44121, "aux.loss_seg": 0.25132, "aux.acc_seg": 63.42376, "loss": 0.60724, "time": 0.39729} +{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.3638, "decode.acc_seg": 70.78844, "aux.loss_seg": 0.2565, "aux.acc_seg": 63.3076, "loss": 0.6203, "time": 0.39766} +{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.34006, "decode.acc_seg": 70.36749, "aux.loss_seg": 0.24149, "aux.acc_seg": 63.5378, "loss": 0.58154, "time": 0.39442} +{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.35264, "decode.acc_seg": 68.39571, "aux.loss_seg": 0.24233, "aux.acc_seg": 61.81907, "loss": 0.59498, "time": 0.39293} +{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.34949, "decode.acc_seg": 70.97905, "aux.loss_seg": 0.24894, "aux.acc_seg": 64.20788, "loss": 0.59843, "time": 0.39849} +{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.35205, "decode.acc_seg": 70.55173, "aux.loss_seg": 0.25, "aux.acc_seg": 63.3302, "loss": 0.60205, "time": 0.39457} +{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.3422, "decode.acc_seg": 69.95277, "aux.loss_seg": 0.2453, "aux.acc_seg": 62.5464, "loss": 0.5875, "time": 0.40205} +{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.3391, "decode.acc_seg": 69.20773, "aux.loss_seg": 0.23854, "aux.acc_seg": 62.40355, "loss": 0.57764, "time": 0.41105} +{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.3809, "decode.acc_seg": 69.82733, "aux.loss_seg": 0.25809, "aux.acc_seg": 63.41, "loss": 0.63899, "time": 0.40277} +{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.33426, "decode.acc_seg": 70.43494, "aux.loss_seg": 0.23568, "aux.acc_seg": 64.03555, "loss": 0.56994, "time": 0.39733} +{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.36762, "decode.acc_seg": 69.54007, "aux.loss_seg": 0.24976, "aux.acc_seg": 62.71831, "loss": 0.61738, "time": 0.40325} +{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.35971, "decode.acc_seg": 70.5796, "aux.loss_seg": 0.25102, "aux.acc_seg": 63.59509, "loss": 0.61073, "time": 0.39872} +{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.34431, "decode.acc_seg": 69.79145, "aux.loss_seg": 0.23809, "aux.acc_seg": 63.52971, "loss": 0.5824, "time": 0.39798} +{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.36669, "decode.acc_seg": 70.22788, "aux.loss_seg": 0.25984, "aux.acc_seg": 62.65139, "loss": 0.62653, "time": 0.39657} +{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.36797, "decode.acc_seg": 68.33461, "aux.loss_seg": 0.25172, "aux.acc_seg": 61.27945, "loss": 0.61969, "time": 0.39539} +{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.3498, "decode.acc_seg": 69.45499, "aux.loss_seg": 0.24304, "aux.acc_seg": 62.73769, "loss": 0.59284, "time": 0.39867} +{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.36359, "decode.acc_seg": 68.68139, "aux.loss_seg": 0.26075, "aux.acc_seg": 61.2209, "loss": 0.62434, "time": 0.39451} +{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34644, "decode.acc_seg": 68.60709, "aux.loss_seg": 0.2452, "aux.acc_seg": 61.76085, "loss": 0.59165, "time": 0.3959} +{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.36346, "decode.acc_seg": 69.54329, "aux.loss_seg": 0.26406, "aux.acc_seg": 62.00876, "loss": 0.62752, "time": 0.39915} +{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.35725, "decode.acc_seg": 68.89445, "aux.loss_seg": 0.23957, "aux.acc_seg": 62.43122, "loss": 0.59683, "time": 0.40602} +{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.36027, "decode.acc_seg": 69.24959, "aux.loss_seg": 0.24391, "aux.acc_seg": 63.17938, "loss": 0.60417, "time": 0.41537} +{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.35961, "decode.acc_seg": 69.07638, "aux.loss_seg": 0.25833, "aux.acc_seg": 61.72318, "loss": 0.61794, "time": 0.39998} +{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.333, "decode.acc_seg": 70.4111, "aux.loss_seg": 0.2331, "aux.acc_seg": 63.88249, "loss": 0.5661, "time": 0.39525} +{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 17837, "data_time": 0.24424, "decode.loss_seg": 0.36293, "decode.acc_seg": 68.39161, "aux.loss_seg": 0.24771, "aux.acc_seg": 61.74379, "loss": 0.61064, "time": 0.63429} +{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.36637, "decode.acc_seg": 68.5529, "aux.loss_seg": 0.25829, "aux.acc_seg": 60.95619, "loss": 0.62466, "time": 0.39948} +{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.33518, "decode.acc_seg": 70.09323, "aux.loss_seg": 0.24077, "aux.acc_seg": 63.31936, "loss": 0.57594, "time": 0.39541} +{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.35141, "decode.acc_seg": 70.53129, "aux.loss_seg": 0.24501, "aux.acc_seg": 63.89395, "loss": 0.59642, "time": 0.39552} +{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.32888, "decode.acc_seg": 69.4727, "aux.loss_seg": 0.23159, "aux.acc_seg": 62.91737, "loss": 0.56047, "time": 0.40003} +{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.344, "decode.acc_seg": 68.60703, "aux.loss_seg": 0.24628, "aux.acc_seg": 61.32802, "loss": 0.59027, "time": 0.39785} +{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.35223, "decode.acc_seg": 69.51415, "aux.loss_seg": 0.24324, "aux.acc_seg": 62.98922, "loss": 0.59547, "time": 0.40319} +{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.35168, "decode.acc_seg": 69.82793, "aux.loss_seg": 0.24188, "aux.acc_seg": 63.03223, "loss": 0.59356, "time": 0.39898} +{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.34551, "decode.acc_seg": 69.78385, "aux.loss_seg": 0.24705, "aux.acc_seg": 62.72036, "loss": 0.59256, "time": 0.40368} +{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.34157, "decode.acc_seg": 70.05392, "aux.loss_seg": 0.24495, "aux.acc_seg": 62.84682, "loss": 0.58653, "time": 0.4003} +{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.35807, "decode.acc_seg": 70.08263, "aux.loss_seg": 0.25412, "aux.acc_seg": 62.82826, "loss": 0.61219, "time": 0.403} +{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.34629, "decode.acc_seg": 69.64693, "aux.loss_seg": 0.24135, "aux.acc_seg": 63.08258, "loss": 0.58764, "time": 0.39907} +{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34224, "decode.acc_seg": 69.89026, "aux.loss_seg": 0.25715, "aux.acc_seg": 62.19868, "loss": 0.59939, "time": 0.40257} +{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.35576, "decode.acc_seg": 69.294, "aux.loss_seg": 0.25014, "aux.acc_seg": 62.54294, "loss": 0.6059, "time": 0.41144} +{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.35164, "decode.acc_seg": 69.44384, "aux.loss_seg": 0.23928, "aux.acc_seg": 63.07022, "loss": 0.59091, "time": 0.40184} +{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.34656, "decode.acc_seg": 70.48915, "aux.loss_seg": 0.24433, "aux.acc_seg": 63.90259, "loss": 0.59089, "time": 0.40613} +{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.33851, "decode.acc_seg": 70.16273, "aux.loss_seg": 0.23926, "aux.acc_seg": 63.54239, "loss": 0.57777, "time": 0.40469} +{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.3386, "decode.acc_seg": 70.16571, "aux.loss_seg": 0.25011, "aux.acc_seg": 62.41501, "loss": 0.58872, "time": 0.40652} +{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.36292, "decode.acc_seg": 70.10885, "aux.loss_seg": 0.24743, "aux.acc_seg": 63.98752, "loss": 0.61035, "time": 0.41253} +{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.35493, "decode.acc_seg": 70.9539, "aux.loss_seg": 0.24531, "aux.acc_seg": 64.13633, "loss": 0.60024, "time": 0.41567} +{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.34653, "decode.acc_seg": 67.44408, "aux.loss_seg": 0.23816, "aux.acc_seg": 61.24666, "loss": 0.58469, "time": 0.40352} +{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.36024, "decode.acc_seg": 69.38376, "aux.loss_seg": 0.24083, "aux.acc_seg": 63.14756, "loss": 0.60107, "time": 0.40482} +{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.34828, "decode.acc_seg": 68.23921, "aux.loss_seg": 0.24383, "aux.acc_seg": 61.82921, "loss": 0.59211, "time": 0.39406} +{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35633, "decode.acc_seg": 70.16353, "aux.loss_seg": 0.24802, "aux.acc_seg": 63.0892, "loss": 0.60435, "time": 0.40138} +{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.35203, "decode.acc_seg": 69.89709, "aux.loss_seg": 0.24629, "aux.acc_seg": 63.01724, "loss": 0.59831, "time": 0.40931} +{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 17837, "data_time": 0.24586, "decode.loss_seg": 0.36322, "decode.acc_seg": 68.56276, "aux.loss_seg": 0.24234, "aux.acc_seg": 62.6871, "loss": 0.60556, "time": 0.63513} +{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.34935, "decode.acc_seg": 70.5273, "aux.loss_seg": 0.24335, "aux.acc_seg": 63.67384, "loss": 0.5927, "time": 0.39836} +{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.3444, "decode.acc_seg": 69.87664, "aux.loss_seg": 0.2364, "aux.acc_seg": 63.22163, "loss": 0.58079, "time": 0.40542} +{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.3569, "decode.acc_seg": 70.612, "aux.loss_seg": 0.2479, "aux.acc_seg": 63.78086, "loss": 0.6048, "time": 0.40384} +{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.34429, "decode.acc_seg": 70.74408, "aux.loss_seg": 0.24992, "aux.acc_seg": 63.25232, "loss": 0.59421, "time": 0.40929} +{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.34403, "decode.acc_seg": 70.71123, "aux.loss_seg": 0.24821, "aux.acc_seg": 63.46143, "loss": 0.59225, "time": 0.40264} +{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.35676, "decode.acc_seg": 69.12511, "aux.loss_seg": 0.25033, "aux.acc_seg": 61.91458, "loss": 0.6071, "time": 0.39308} +{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.33509, "decode.acc_seg": 70.10272, "aux.loss_seg": 0.23952, "aux.acc_seg": 63.32039, "loss": 0.57461, "time": 0.39365} +{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.32905, "decode.acc_seg": 69.79838, "aux.loss_seg": 0.23049, "aux.acc_seg": 63.74399, "loss": 0.55954, "time": 0.41113} +{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.3779, "decode.acc_seg": 69.58593, "aux.loss_seg": 0.25995, "aux.acc_seg": 62.80027, "loss": 0.63785, "time": 0.40403} +{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.34501, "decode.acc_seg": 69.64273, "aux.loss_seg": 0.24331, "aux.acc_seg": 62.67868, "loss": 0.58832, "time": 0.39924} +{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.34227, "decode.acc_seg": 68.93452, "aux.loss_seg": 0.24525, "aux.acc_seg": 61.95171, "loss": 0.58752, "time": 0.40446} +{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.35705, "decode.acc_seg": 69.36449, "aux.loss_seg": 0.24474, "aux.acc_seg": 63.12868, "loss": 0.60179, "time": 0.39646} +{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.35396, "decode.acc_seg": 70.4951, "aux.loss_seg": 0.24549, "aux.acc_seg": 63.71963, "loss": 0.59945, "time": 0.39874} +{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.34156, "decode.acc_seg": 69.58178, "aux.loss_seg": 0.23606, "aux.acc_seg": 63.16515, "loss": 0.57762, "time": 0.39573} +{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.3422, "decode.acc_seg": 69.02426, "aux.loss_seg": 0.23012, "aux.acc_seg": 63.25642, "loss": 0.57232, "time": 0.40592} +{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.36662, "decode.acc_seg": 69.21359, "aux.loss_seg": 0.25026, "aux.acc_seg": 62.51149, "loss": 0.61689, "time": 0.41042} +{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.36453, "decode.acc_seg": 70.17723, "aux.loss_seg": 0.24507, "aux.acc_seg": 63.73299, "loss": 0.6096, "time": 0.40151} +{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.34894, "decode.acc_seg": 71.06034, "aux.loss_seg": 0.24333, "aux.acc_seg": 64.25211, "loss": 0.59227, "time": 0.39976} +{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.37471, "decode.acc_seg": 69.49787, "aux.loss_seg": 0.26027, "aux.acc_seg": 62.19253, "loss": 0.63497, "time": 0.41388} +{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34726, "decode.acc_seg": 68.28174, "aux.loss_seg": 0.24241, "aux.acc_seg": 61.90584, "loss": 0.58967, "time": 0.41052} +{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.33668, "decode.acc_seg": 69.91523, "aux.loss_seg": 0.2402, "aux.acc_seg": 63.21156, "loss": 0.57688, "time": 0.39842} +{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.34243, "decode.acc_seg": 69.2498, "aux.loss_seg": 0.24014, "aux.acc_seg": 62.62559, "loss": 0.58257, "time": 0.41224} +{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.34311, "decode.acc_seg": 70.88951, "aux.loss_seg": 0.25034, "aux.acc_seg": 63.71304, "loss": 0.59344, "time": 0.40893} +{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.36112, "decode.acc_seg": 69.22303, "aux.loss_seg": 0.25247, "aux.acc_seg": 62.34906, "loss": 0.61359, "time": 0.39684} +{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.35763, "decode.acc_seg": 68.55058, "aux.loss_seg": 0.24752, "aux.acc_seg": 61.61242, "loss": 0.60515, "time": 0.40193} +{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 17837, "data_time": 0.24375, "decode.loss_seg": 0.33805, "decode.acc_seg": 70.13556, "aux.loss_seg": 0.23812, "aux.acc_seg": 63.60573, "loss": 0.57617, "time": 0.6446} +{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.33747, "decode.acc_seg": 70.09277, "aux.loss_seg": 0.23884, "aux.acc_seg": 63.23002, "loss": 0.57631, "time": 0.40042} +{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.33377, "decode.acc_seg": 72.06669, "aux.loss_seg": 0.24115, "aux.acc_seg": 64.82771, "loss": 0.57492, "time": 0.40368} +{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.33396, "decode.acc_seg": 69.18789, "aux.loss_seg": 0.23871, "aux.acc_seg": 62.31392, "loss": 0.57266, "time": 0.40348} +{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.33033, "decode.acc_seg": 69.43884, "aux.loss_seg": 0.23554, "aux.acc_seg": 62.78226, "loss": 0.56587, "time": 0.39912} +{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.33614, "decode.acc_seg": 69.35062, "aux.loss_seg": 0.23566, "aux.acc_seg": 62.77922, "loss": 0.57181, "time": 0.4106} +{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.37089, "decode.acc_seg": 69.71278, "aux.loss_seg": 0.25611, "aux.acc_seg": 62.74449, "loss": 0.627, "time": 0.39783} +{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.3466, "decode.acc_seg": 69.75669, "aux.loss_seg": 0.2411, "aux.acc_seg": 63.17537, "loss": 0.5877, "time": 0.39362} +{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.34052, "decode.acc_seg": 69.90564, "aux.loss_seg": 0.24368, "aux.acc_seg": 63.58972, "loss": 0.5842, "time": 0.39208} +{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.35716, "decode.acc_seg": 69.60433, "aux.loss_seg": 0.24939, "aux.acc_seg": 62.89989, "loss": 0.60654, "time": 0.41198} +{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.33752, "decode.acc_seg": 69.46793, "aux.loss_seg": 0.23825, "aux.acc_seg": 62.61194, "loss": 0.57577, "time": 0.39222} +{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.34677, "decode.acc_seg": 70.04844, "aux.loss_seg": 0.24017, "aux.acc_seg": 63.51698, "loss": 0.58694, "time": 0.39223} +{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.3321, "decode.acc_seg": 70.27646, "aux.loss_seg": 0.24287, "aux.acc_seg": 63.36162, "loss": 0.57497, "time": 0.39433} +{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.35533, "decode.acc_seg": 70.84812, "aux.loss_seg": 0.24641, "aux.acc_seg": 64.00886, "loss": 0.60174, "time": 0.41196} +{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.35579, "decode.acc_seg": 69.45712, "aux.loss_seg": 0.25085, "aux.acc_seg": 62.34579, "loss": 0.60664, "time": 0.39438} +{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.33479, "decode.acc_seg": 69.60452, "aux.loss_seg": 0.22664, "aux.acc_seg": 63.59025, "loss": 0.56143, "time": 0.40276} +{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4373, "mAcc": 0.5696, "aAcc": 0.8034, "IoU.wall": 0.7362, "IoU.building": 0.8038, "IoU.sky": 0.9351, "IoU.floor": 0.7865, "IoU.tree": 0.7212, "IoU.ceiling": 0.8035, "IoU.road": 0.8046, "IoU.bed ": 0.8415, "IoU.windowpane": 0.5708, "IoU.grass": 0.6504, "IoU.cabinet": 0.5729, "IoU.sidewalk": 0.6225, "IoU.person": 0.7542, "IoU.earth": 0.3265, "IoU.door": 0.3966, "IoU.table": 0.5199, "IoU.mountain": 0.5899, "IoU.plant": 0.484, "IoU.curtain": 0.6694, "IoU.chair": 0.4833, "IoU.car": 0.8054, "IoU.water": 0.5061, "IoU.painting": 0.6893, "IoU.sofa": 0.5353, "IoU.shelf": 0.3774, "IoU.house": 0.4665, "IoU.sea": 0.5258, "IoU.mirror": 0.539, "IoU.rug": 0.6657, "IoU.field": 0.2784, "IoU.armchair": 0.3382, "IoU.seat": 0.5854, "IoU.fence": 0.2866, "IoU.desk": 0.4545, "IoU.rock": 0.4507, "IoU.wardrobe": 0.4082, "IoU.lamp": 0.5288, "IoU.bathtub": 0.6881, "IoU.railing": 0.3225, "IoU.cushion": 0.4955, "IoU.base": 0.3313, "IoU.box": 0.2156, "IoU.column": 0.4055, "IoU.signboard": 0.3083, "IoU.chest of drawers": 0.3419, "IoU.counter": 0.3302, "IoU.sand": 0.3878, "IoU.sink": 0.6271, "IoU.skyscraper": 0.6366, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6379, "IoU.grandstand": 0.3986, "IoU.path": 0.1666, "IoU.stairs": 0.2037, "IoU.runway": 0.6865, "IoU.case": 0.4594, "IoU.pool table": 0.8799, "IoU.pillow": 0.5207, "IoU.screen door": 0.5517, "IoU.stairway": 0.2457, "IoU.river": 0.1848, "IoU.bridge": 0.6161, "IoU.bookcase": 0.3539, "IoU.blind": NaN, "IoU.coffee table": 0.5242, "IoU.toilet": 0.7983, "IoU.flower": 0.4279, "IoU.book": 0.4379, "IoU.hill": 0.099, "IoU.bench": 0.3232, "IoU.countertop": 0.4956, "IoU.stove": 0.6399, "IoU.palm": 0.4532, "IoU.kitchen island": 0.2971, "IoU.computer": 0.5648, "IoU.swivel chair": 0.4197, "IoU.boat": 0.3445, "IoU.bar": 0.3448, "IoU.arcade machine": 0.7517, "IoU.hovel": 0.3009, "IoU.bus": 0.7431, "IoU.towel": 0.5644, "IoU.light": 0.4458, "IoU.truck": 0.1359, "IoU.tower": 0.3031, "IoU.chandelier": 0.6016, "IoU.awning": 0.2454, "IoU.streetlight": 0.1647, "IoU.booth": 0.5011, "IoU.television receiver": NaN, "IoU.airplane": 0.517, "IoU.dirt track": 0.0569, "IoU.apparel": 0.2433, "IoU.pole": 0.1134, "IoU.land": 0.0219, "IoU.bannister": 0.0372, "IoU.escalator": 0.3492, "IoU.ottoman": 0.3151, "IoU.bottle": NaN, "IoU.buffet": 0.471, "IoU.poster": 0.1958, "IoU.stage": 0.1149, "IoU.van": 0.4066, "IoU.ship": 0.5314, "IoU.fountain": 0.3283, "IoU.conveyer belt": 0.5899, "IoU.canopy": 0.2261, "IoU.washer": 0.6522, "IoU.plaything": 0.1824, "IoU.swimming pool": 0.7075, "IoU.stool": 0.3114, "IoU.barrel": 0.1833, "IoU.basket": 0.23, "IoU.waterfall": 0.7482, "IoU.tent": 0.8268, "IoU.bag": 0.0681, "IoU.minibike": 0.677, "IoU.cradle": NaN, "IoU.oven": 0.3218, "IoU.ball": 0.4737, "IoU.food": 0.5392, "IoU.step": 0.1302, "IoU.tank": 0.4572, "IoU.trade name": 0.2406, "IoU.microwave": 0.7732, "IoU.pot": 0.4357, "IoU.animal": NaN, "IoU.bicycle": 0.5128, "IoU.lake": 0.0002, "IoU.dishwasher": 0.5467, "IoU.screen": 0.5776, "IoU.blanket": 0.0926, "IoU.sculpture": 0.4651, "IoU.hood": 0.4877, "IoU.sconce": 0.3124, "IoU.vase": 0.3048, "IoU.traffic light": 0.2001, "IoU.tray": 0.0354, "IoU.ashcan": 0.3044, "IoU.fan": 0.4979, "IoU.pier": 0.349, "IoU.crt screen": 0.0631, "IoU.plate": 0.5028, "IoU.monitor": 0.2631, "IoU.bulletin board": 0.324, "IoU.shower": 0.0, "IoU.radiator": 0.5355, "IoU.glass": 0.0962, "IoU.clock": 0.1894, "IoU.flag": 0.3934, "Acc.wall": 0.8688, "Acc.building": 0.9135, "Acc.sky": 0.9709, "Acc.floor": 0.8827, "Acc.tree": 0.8456, "Acc.ceiling": 0.8879, "Acc.road": 0.8629, "Acc.bed ": 0.9159, "Acc.windowpane": 0.7271, "Acc.grass": 0.7748, "Acc.cabinet": 0.6977, "Acc.sidewalk": 0.812, "Acc.person": 0.8889, "Acc.earth": 0.446, "Acc.door": 0.5289, "Acc.table": 0.6948, "Acc.mountain": 0.7278, "Acc.plant": 0.5751, "Acc.curtain": 0.8104, "Acc.chair": 0.6278, "Acc.car": 0.8972, "Acc.water": 0.6608, "Acc.painting": 0.8059, "Acc.sofa": 0.7076, "Acc.shelf": 0.6183, "Acc.house": 0.675, "Acc.sea": 0.742, "Acc.mirror": 0.6523, "Acc.rug": 0.7539, "Acc.field": 0.5329, "Acc.armchair": 0.5659, "Acc.seat": 0.7714, "Acc.fence": 0.4023, "Acc.desk": 0.6419, "Acc.rock": 0.6853, "Acc.wardrobe": 0.5665, "Acc.lamp": 0.6793, "Acc.bathtub": 0.7773, "Acc.railing": 0.4385, "Acc.cushion": 0.635, "Acc.base": 0.4834, "Acc.box": 0.2883, "Acc.column": 0.5246, "Acc.signboard": 0.4302, "Acc.chest of drawers": 0.5731, "Acc.counter": 0.4575, "Acc.sand": 0.6339, "Acc.sink": 0.7447, "Acc.skyscraper": 0.8176, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8206, "Acc.grandstand": 0.6614, "Acc.path": 0.2577, "Acc.stairs": 0.2598, "Acc.runway": 0.9121, "Acc.case": 0.6411, "Acc.pool table": 0.9581, "Acc.pillow": 0.6948, "Acc.screen door": 0.7728, "Acc.stairway": 0.3377, "Acc.river": 0.3556, "Acc.bridge": 0.8261, "Acc.bookcase": 0.451, "Acc.blind": NaN, "Acc.coffee table": 0.7658, "Acc.toilet": 0.8827, "Acc.flower": 0.5235, "Acc.book": 0.6674, "Acc.hill": 0.189, "Acc.bench": 0.4125, "Acc.countertop": 0.6075, "Acc.stove": 0.7699, "Acc.palm": 0.7743, "Acc.kitchen island": 0.6983, "Acc.computer": 0.6682, "Acc.swivel chair": 0.5254, "Acc.boat": 0.5063, "Acc.bar": 0.4479, "Acc.arcade machine": 0.8394, "Acc.hovel": 0.4542, "Acc.bus": 0.9195, "Acc.towel": 0.7449, "Acc.light": 0.4894, "Acc.truck": 0.2107, "Acc.tower": 0.5256, "Acc.chandelier": 0.7433, "Acc.awning": 0.2988, "Acc.streetlight": 0.2086, "Acc.booth": 0.6843, "Acc.television receiver": NaN, "Acc.airplane": 0.5851, "Acc.dirt track": 0.4342, "Acc.apparel": 0.4004, "Acc.pole": 0.153, "Acc.land": 0.0498, "Acc.bannister": 0.045, "Acc.escalator": 0.5289, "Acc.ottoman": 0.4634, "Acc.bottle": NaN, "Acc.buffet": 0.5383, "Acc.poster": 0.2263, "Acc.stage": 0.1973, "Acc.van": 0.5052, "Acc.ship": 0.7935, "Acc.fountain": 0.3344, "Acc.conveyer belt": 0.8245, "Acc.canopy": 0.2855, "Acc.washer": 0.6877, "Acc.plaything": 0.2728, "Acc.swimming pool": 0.8014, "Acc.stool": 0.5134, "Acc.barrel": 0.637, "Acc.basket": 0.2869, "Acc.waterfall": 0.9099, "Acc.tent": 0.9885, "Acc.bag": 0.0867, "Acc.minibike": 0.8403, "Acc.cradle": NaN, "Acc.oven": 0.4423, "Acc.ball": 0.5513, "Acc.food": 0.6695, "Acc.step": 0.1621, "Acc.tank": 0.6234, "Acc.trade name": 0.2852, "Acc.microwave": 0.8794, "Acc.pot": 0.5155, "Acc.animal": NaN, "Acc.bicycle": 0.7201, "Acc.lake": 0.0002, "Acc.dishwasher": 0.6918, "Acc.screen": 0.8301, "Acc.blanket": 0.1037, "Acc.sculpture": 0.6663, "Acc.hood": 0.5759, "Acc.sconce": 0.3453, "Acc.vase": 0.4702, "Acc.traffic light": 0.3344, "Acc.tray": 0.0665, "Acc.ashcan": 0.4226, "Acc.fan": 0.6761, "Acc.pier": 0.5235, "Acc.crt screen": 0.112, "Acc.plate": 0.6193, "Acc.monitor": 0.4722, "Acc.bulletin board": 0.3635, "Acc.shower": 0.0, "Acc.radiator": 0.6135, "Acc.glass": 0.105, "Acc.clock": 0.2066, "Acc.flag": 0.4625} +{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 17837, "data_time": 1.46336, "decode.loss_seg": 0.34551, "decode.acc_seg": 70.13932, "aux.loss_seg": 0.24427, "aux.acc_seg": 63.52786, "loss": 0.58978, "time": 1.85498} +{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34333, "decode.acc_seg": 69.05885, "aux.loss_seg": 0.23657, "aux.acc_seg": 62.71108, "loss": 0.5799, "time": 0.40838} +{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.37106, "decode.acc_seg": 68.87881, "aux.loss_seg": 0.25869, "aux.acc_seg": 61.9809, "loss": 0.62975, "time": 0.40524} +{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.36688, "decode.acc_seg": 69.9235, "aux.loss_seg": 0.25823, "aux.acc_seg": 62.6307, "loss": 0.62511, "time": 0.39921} +{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.35169, "decode.acc_seg": 70.13246, "aux.loss_seg": 0.24983, "aux.acc_seg": 62.71839, "loss": 0.60151, "time": 0.41322} +{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.35285, "decode.acc_seg": 68.59117, "aux.loss_seg": 0.25021, "aux.acc_seg": 61.70519, "loss": 0.60307, "time": 0.39982} +{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32499, "decode.acc_seg": 70.13576, "aux.loss_seg": 0.22689, "aux.acc_seg": 63.84503, "loss": 0.55188, "time": 0.40653} +{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.35029, "decode.acc_seg": 70.02152, "aux.loss_seg": 0.24089, "aux.acc_seg": 63.48135, "loss": 0.59118, "time": 0.40938} +{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 17837, "data_time": 0.24963, "decode.loss_seg": 0.35667, "decode.acc_seg": 68.1156, "aux.loss_seg": 0.23696, "aux.acc_seg": 62.12447, "loss": 0.59363, "time": 0.64299} +{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.34078, "decode.acc_seg": 70.82727, "aux.loss_seg": 0.24382, "aux.acc_seg": 63.59194, "loss": 0.5846, "time": 0.39567} +{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.3276, "decode.acc_seg": 71.22335, "aux.loss_seg": 0.23108, "aux.acc_seg": 64.49089, "loss": 0.55868, "time": 0.39607} +{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.34611, "decode.acc_seg": 70.61309, "aux.loss_seg": 0.24752, "aux.acc_seg": 63.76319, "loss": 0.59363, "time": 0.4135} +{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.33357, "decode.acc_seg": 68.16531, "aux.loss_seg": 0.23976, "aux.acc_seg": 61.34994, "loss": 0.57333, "time": 0.39645} +{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.33929, "decode.acc_seg": 69.68031, "aux.loss_seg": 0.23999, "aux.acc_seg": 63.15542, "loss": 0.57927, "time": 0.39902} +{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.33272, "decode.acc_seg": 71.04302, "aux.loss_seg": 0.23939, "aux.acc_seg": 63.97765, "loss": 0.57211, "time": 0.39523} +{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.32448, "decode.acc_seg": 69.50636, "aux.loss_seg": 0.23827, "aux.acc_seg": 62.19414, "loss": 0.56275, "time": 0.40315} +{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.34617, "decode.acc_seg": 69.59496, "aux.loss_seg": 0.24217, "aux.acc_seg": 62.61055, "loss": 0.58835, "time": 0.39267} +{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.34743, "decode.acc_seg": 70.41052, "aux.loss_seg": 0.25132, "aux.acc_seg": 63.3888, "loss": 0.59876, "time": 0.39978} +{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.34946, "decode.acc_seg": 70.29228, "aux.loss_seg": 0.24684, "aux.acc_seg": 63.03202, "loss": 0.5963, "time": 0.40094} +{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.33504, "decode.acc_seg": 70.06745, "aux.loss_seg": 0.23237, "aux.acc_seg": 63.86566, "loss": 0.5674, "time": 0.40836} +{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.31636, "decode.acc_seg": 70.88991, "aux.loss_seg": 0.24209, "aux.acc_seg": 63.27438, "loss": 0.55844, "time": 0.40914} +{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.35041, "decode.acc_seg": 68.91811, "aux.loss_seg": 0.24106, "aux.acc_seg": 62.555, "loss": 0.59148, "time": 0.4173} +{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.33657, "decode.acc_seg": 70.02904, "aux.loss_seg": 0.23911, "aux.acc_seg": 63.31595, "loss": 0.57568, "time": 0.39782} +{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.3527, "decode.acc_seg": 69.85964, "aux.loss_seg": 0.24789, "aux.acc_seg": 62.88072, "loss": 0.60059, "time": 0.39365} +{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.33842, "decode.acc_seg": 70.70927, "aux.loss_seg": 0.23577, "aux.acc_seg": 63.9569, "loss": 0.5742, "time": 0.3929} +{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.34109, "decode.acc_seg": 70.90234, "aux.loss_seg": 0.23972, "aux.acc_seg": 64.14292, "loss": 0.58081, "time": 0.40522} +{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.35345, "decode.acc_seg": 69.91289, "aux.loss_seg": 0.25285, "aux.acc_seg": 62.88908, "loss": 0.6063, "time": 0.40956} +{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.34997, "decode.acc_seg": 68.82653, "aux.loss_seg": 0.23839, "aux.acc_seg": 62.74172, "loss": 0.58837, "time": 0.40856} +{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.35168, "decode.acc_seg": 69.85182, "aux.loss_seg": 0.24342, "aux.acc_seg": 63.38719, "loss": 0.5951, "time": 0.39324} +{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.34395, "decode.acc_seg": 71.20465, "aux.loss_seg": 0.24568, "aux.acc_seg": 64.19808, "loss": 0.58963, "time": 0.4083} +{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.3504, "decode.acc_seg": 68.77743, "aux.loss_seg": 0.24076, "aux.acc_seg": 62.44471, "loss": 0.59116, "time": 0.40438} +{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3387, "decode.acc_seg": 69.76216, "aux.loss_seg": 0.24095, "aux.acc_seg": 63.01319, "loss": 0.57966, "time": 0.39404} +{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.35441, "decode.acc_seg": 69.15642, "aux.loss_seg": 0.24163, "aux.acc_seg": 62.35513, "loss": 0.59604, "time": 0.40302} +{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 17837, "data_time": 0.24296, "decode.loss_seg": 0.32188, "decode.acc_seg": 70.3257, "aux.loss_seg": 0.24167, "aux.acc_seg": 62.7291, "loss": 0.56355, "time": 0.63021} +{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.32293, "decode.acc_seg": 70.36354, "aux.loss_seg": 0.22186, "aux.acc_seg": 64.39409, "loss": 0.54478, "time": 0.39582} +{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.36014, "decode.acc_seg": 69.59991, "aux.loss_seg": 0.25396, "aux.acc_seg": 62.59306, "loss": 0.6141, "time": 0.39087} +{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.32537, "decode.acc_seg": 68.79721, "aux.loss_seg": 0.23116, "aux.acc_seg": 62.20155, "loss": 0.55654, "time": 0.39118} +{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.32816, "decode.acc_seg": 68.59138, "aux.loss_seg": 0.23132, "aux.acc_seg": 61.80828, "loss": 0.55948, "time": 0.39662} +{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.32338, "decode.acc_seg": 69.74751, "aux.loss_seg": 0.22635, "aux.acc_seg": 63.27361, "loss": 0.54974, "time": 0.39886} +{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.34943, "decode.acc_seg": 70.67757, "aux.loss_seg": 0.25468, "aux.acc_seg": 63.25873, "loss": 0.60411, "time": 0.41406} +{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.35134, "decode.acc_seg": 70.19225, "aux.loss_seg": 0.24337, "aux.acc_seg": 63.7682, "loss": 0.59471, "time": 0.39496} +{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.33542, "decode.acc_seg": 69.87347, "aux.loss_seg": 0.23857, "aux.acc_seg": 63.10284, "loss": 0.57399, "time": 0.41757} +{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.34259, "decode.acc_seg": 69.94266, "aux.loss_seg": 0.23933, "aux.acc_seg": 63.62748, "loss": 0.58192, "time": 0.41515} +{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.33583, "decode.acc_seg": 70.31245, "aux.loss_seg": 0.24193, "aux.acc_seg": 63.13457, "loss": 0.57777, "time": 0.39271} +{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34102, "decode.acc_seg": 69.45619, "aux.loss_seg": 0.23378, "aux.acc_seg": 63.21322, "loss": 0.57479, "time": 0.39186} +{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.34386, "decode.acc_seg": 69.02989, "aux.loss_seg": 0.23902, "aux.acc_seg": 62.45557, "loss": 0.58288, "time": 0.40869} +{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.35433, "decode.acc_seg": 69.87769, "aux.loss_seg": 0.25482, "aux.acc_seg": 62.86799, "loss": 0.60915, "time": 0.41773} +{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 17837, "data_time": 0.00695, "decode.loss_seg": 0.34043, "decode.acc_seg": 70.56161, "aux.loss_seg": 0.24853, "aux.acc_seg": 63.39704, "loss": 0.58896, "time": 0.40961} +{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.33804, "decode.acc_seg": 70.70959, "aux.loss_seg": 0.24157, "aux.acc_seg": 63.94558, "loss": 0.57962, "time": 0.40584} +{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.34154, "decode.acc_seg": 70.45948, "aux.loss_seg": 0.2437, "aux.acc_seg": 63.52539, "loss": 0.58523, "time": 0.3999} +{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.31766, "decode.acc_seg": 70.89057, "aux.loss_seg": 0.23958, "aux.acc_seg": 63.77827, "loss": 0.55724, "time": 0.39763} +{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.34858, "decode.acc_seg": 70.34867, "aux.loss_seg": 0.24516, "aux.acc_seg": 63.60615, "loss": 0.59375, "time": 0.39967} +{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.32438, "decode.acc_seg": 70.93825, "aux.loss_seg": 0.23152, "aux.acc_seg": 64.13657, "loss": 0.5559, "time": 0.4099} +{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.32851, "decode.acc_seg": 70.26491, "aux.loss_seg": 0.23331, "aux.acc_seg": 63.54127, "loss": 0.56182, "time": 0.39377} +{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.33128, "decode.acc_seg": 69.83699, "aux.loss_seg": 0.2357, "aux.acc_seg": 62.97187, "loss": 0.56698, "time": 0.41052} +{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.32401, "decode.acc_seg": 70.62997, "aux.loss_seg": 0.22705, "aux.acc_seg": 64.45961, "loss": 0.55106, "time": 0.39427} +{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.34469, "decode.acc_seg": 71.19412, "aux.loss_seg": 0.24569, "aux.acc_seg": 64.26327, "loss": 0.59038, "time": 0.39214} +{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34802, "decode.acc_seg": 69.93311, "aux.loss_seg": 0.24338, "aux.acc_seg": 63.20243, "loss": 0.5914, "time": 0.40428} +{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 17837, "data_time": 0.23776, "decode.loss_seg": 0.33647, "decode.acc_seg": 69.51361, "aux.loss_seg": 0.2407, "aux.acc_seg": 62.65179, "loss": 0.57718, "time": 0.6425} +{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.32876, "decode.acc_seg": 70.70384, "aux.loss_seg": 0.23509, "aux.acc_seg": 63.91756, "loss": 0.56384, "time": 0.41481} +{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.3406, "decode.acc_seg": 69.98121, "aux.loss_seg": 0.24627, "aux.acc_seg": 62.39689, "loss": 0.58687, "time": 0.40085} +{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34628, "decode.acc_seg": 70.60044, "aux.loss_seg": 0.24504, "aux.acc_seg": 63.67592, "loss": 0.59132, "time": 0.3948} +{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.32729, "decode.acc_seg": 70.15298, "aux.loss_seg": 0.24006, "aux.acc_seg": 63.1034, "loss": 0.56735, "time": 0.41231} +{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.3463, "decode.acc_seg": 71.05327, "aux.loss_seg": 0.24843, "aux.acc_seg": 64.10111, "loss": 0.59473, "time": 0.4151} +{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.34414, "decode.acc_seg": 70.98859, "aux.loss_seg": 0.24925, "aux.acc_seg": 63.58178, "loss": 0.59339, "time": 0.41657} +{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.36433, "decode.acc_seg": 67.39525, "aux.loss_seg": 0.25177, "aux.acc_seg": 60.7145, "loss": 0.6161, "time": 0.41375} +{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.32799, "decode.acc_seg": 69.28518, "aux.loss_seg": 0.24011, "aux.acc_seg": 62.35014, "loss": 0.5681, "time": 0.41202} +{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.33291, "decode.acc_seg": 69.88372, "aux.loss_seg": 0.23735, "aux.acc_seg": 63.20471, "loss": 0.57026, "time": 0.41869} +{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.32543, "decode.acc_seg": 69.77355, "aux.loss_seg": 0.22801, "aux.acc_seg": 63.66679, "loss": 0.55344, "time": 0.40251} +{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.33433, "decode.acc_seg": 70.78202, "aux.loss_seg": 0.23843, "aux.acc_seg": 64.20242, "loss": 0.57277, "time": 0.3975} +{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.3349, "decode.acc_seg": 70.45806, "aux.loss_seg": 0.2365, "aux.acc_seg": 63.81003, "loss": 0.5714, "time": 0.39412} +{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.33937, "decode.acc_seg": 69.36482, "aux.loss_seg": 0.24308, "aux.acc_seg": 62.36556, "loss": 0.58245, "time": 0.39454} +{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.34802, "decode.acc_seg": 70.90397, "aux.loss_seg": 0.23582, "aux.acc_seg": 64.75758, "loss": 0.58384, "time": 0.39307} +{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.35194, "decode.acc_seg": 69.87838, "aux.loss_seg": 0.23798, "aux.acc_seg": 63.92111, "loss": 0.58993, "time": 0.394} +{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.33193, "decode.acc_seg": 70.40486, "aux.loss_seg": 0.2362, "aux.acc_seg": 63.67456, "loss": 0.56813, "time": 0.39322} +{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35082, "decode.acc_seg": 70.22161, "aux.loss_seg": 0.24668, "aux.acc_seg": 63.38262, "loss": 0.59751, "time": 0.40333} +{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.3384, "decode.acc_seg": 70.39315, "aux.loss_seg": 0.24039, "aux.acc_seg": 63.71972, "loss": 0.57879, "time": 0.41671} +{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.34464, "decode.acc_seg": 69.38144, "aux.loss_seg": 0.23942, "aux.acc_seg": 62.83417, "loss": 0.58406, "time": 0.40115} +{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.34297, "decode.acc_seg": 69.04976, "aux.loss_seg": 0.23902, "aux.acc_seg": 62.36383, "loss": 0.58199, "time": 0.39558} +{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.35078, "decode.acc_seg": 70.10624, "aux.loss_seg": 0.24044, "aux.acc_seg": 63.77956, "loss": 0.59121, "time": 0.40587} +{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.33233, "decode.acc_seg": 70.39239, "aux.loss_seg": 0.23689, "aux.acc_seg": 63.15804, "loss": 0.56922, "time": 0.40629} +{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.32409, "decode.acc_seg": 69.83223, "aux.loss_seg": 0.22982, "aux.acc_seg": 63.19176, "loss": 0.55391, "time": 0.4036} +{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.3458, "decode.acc_seg": 70.78369, "aux.loss_seg": 0.24605, "aux.acc_seg": 63.6004, "loss": 0.59185, "time": 0.40033} +{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31969, "decode.acc_seg": 70.4271, "aux.loss_seg": 0.23891, "aux.acc_seg": 63.20062, "loss": 0.55859, "time": 0.40625} +{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 17837, "data_time": 0.24013, "decode.loss_seg": 0.31534, "decode.acc_seg": 70.18091, "aux.loss_seg": 0.22929, "aux.acc_seg": 63.36863, "loss": 0.54463, "time": 0.62783} +{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.33157, "decode.acc_seg": 69.68101, "aux.loss_seg": 0.24016, "aux.acc_seg": 62.51892, "loss": 0.57173, "time": 0.39887} +{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.32738, "decode.acc_seg": 70.66648, "aux.loss_seg": 0.23756, "aux.acc_seg": 63.63986, "loss": 0.56494, "time": 0.39512} +{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.32491, "decode.acc_seg": 71.68282, "aux.loss_seg": 0.23726, "aux.acc_seg": 64.55915, "loss": 0.56217, "time": 0.39938} +{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.33623, "decode.acc_seg": 69.84308, "aux.loss_seg": 0.23529, "aux.acc_seg": 63.26481, "loss": 0.57152, "time": 0.40454} +{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.32063, "decode.acc_seg": 70.53798, "aux.loss_seg": 0.23102, "aux.acc_seg": 63.7494, "loss": 0.55164, "time": 0.39619} +{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.34912, "decode.acc_seg": 68.94952, "aux.loss_seg": 0.23578, "aux.acc_seg": 62.93115, "loss": 0.5849, "time": 0.40984} +{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.32495, "decode.acc_seg": 70.43213, "aux.loss_seg": 0.2422, "aux.acc_seg": 62.96264, "loss": 0.56715, "time": 0.39745} +{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.31202, "decode.acc_seg": 71.02799, "aux.loss_seg": 0.21881, "aux.acc_seg": 64.73789, "loss": 0.53083, "time": 0.39388} +{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.32376, "decode.acc_seg": 69.81685, "aux.loss_seg": 0.22933, "aux.acc_seg": 63.60163, "loss": 0.55309, "time": 0.39105} +{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34626, "decode.acc_seg": 69.18086, "aux.loss_seg": 0.24005, "aux.acc_seg": 62.82662, "loss": 0.58632, "time": 0.39024} +{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.34497, "decode.acc_seg": 69.78749, "aux.loss_seg": 0.2475, "aux.acc_seg": 62.54627, "loss": 0.59247, "time": 0.40558} +{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34889, "decode.acc_seg": 69.27424, "aux.loss_seg": 0.24641, "aux.acc_seg": 62.80267, "loss": 0.5953, "time": 0.39337} +{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.347, "decode.acc_seg": 71.06475, "aux.loss_seg": 0.23978, "aux.acc_seg": 64.41143, "loss": 0.58678, "time": 0.40494} +{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30455, "decode.acc_seg": 70.88849, "aux.loss_seg": 0.22349, "aux.acc_seg": 64.19854, "loss": 0.52804, "time": 0.40118} +{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.33468, "decode.acc_seg": 69.82404, "aux.loss_seg": 0.23495, "aux.acc_seg": 63.0345, "loss": 0.56963, "time": 0.3952} +{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.31821, "decode.acc_seg": 69.85823, "aux.loss_seg": 0.22458, "aux.acc_seg": 63.54345, "loss": 0.54279, "time": 0.39599} +{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.33069, "decode.acc_seg": 70.61913, "aux.loss_seg": 0.23923, "aux.acc_seg": 63.87579, "loss": 0.56993, "time": 0.39404} +{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.33876, "decode.acc_seg": 70.67992, "aux.loss_seg": 0.23684, "aux.acc_seg": 64.06706, "loss": 0.5756, "time": 0.40035} +{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.35115, "decode.acc_seg": 69.35231, "aux.loss_seg": 0.23908, "aux.acc_seg": 63.13609, "loss": 0.59023, "time": 0.41166} +{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 17837, "data_time": 0.0067, "decode.loss_seg": 0.33692, "decode.acc_seg": 71.3448, "aux.loss_seg": 0.24222, "aux.acc_seg": 64.08891, "loss": 0.57914, "time": 0.40048} +{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.33608, "decode.acc_seg": 68.59486, "aux.loss_seg": 0.23185, "aux.acc_seg": 62.14137, "loss": 0.56793, "time": 0.40244} +{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.329, "decode.acc_seg": 69.72616, "aux.loss_seg": 0.23536, "aux.acc_seg": 62.87869, "loss": 0.56436, "time": 0.41802} +{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.33824, "decode.acc_seg": 69.43704, "aux.loss_seg": 0.2374, "aux.acc_seg": 63.16722, "loss": 0.57564, "time": 0.41137} +{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.33321, "decode.acc_seg": 70.3359, "aux.loss_seg": 0.23203, "aux.acc_seg": 63.96997, "loss": 0.56524, "time": 0.39459} +{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 17837, "data_time": 0.24805, "decode.loss_seg": 0.32332, "decode.acc_seg": 70.98486, "aux.loss_seg": 0.2277, "aux.acc_seg": 64.53122, "loss": 0.55102, "time": 0.63214} +{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.33217, "decode.acc_seg": 70.00178, "aux.loss_seg": 0.23634, "aux.acc_seg": 63.25121, "loss": 0.56852, "time": 0.39512} +{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31932, "decode.acc_seg": 69.31571, "aux.loss_seg": 0.2254, "aux.acc_seg": 62.82735, "loss": 0.54471, "time": 0.39256} +{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.34698, "decode.acc_seg": 70.66726, "aux.loss_seg": 0.24076, "aux.acc_seg": 63.78718, "loss": 0.58774, "time": 0.39412} +{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.32292, "decode.acc_seg": 72.33158, "aux.loss_seg": 0.22973, "aux.acc_seg": 65.87899, "loss": 0.55265, "time": 0.39965} +{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.33274, "decode.acc_seg": 70.50157, "aux.loss_seg": 0.24048, "aux.acc_seg": 63.43318, "loss": 0.57322, "time": 0.39435} +{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.31831, "decode.acc_seg": 69.55897, "aux.loss_seg": 0.23847, "aux.acc_seg": 62.25934, "loss": 0.55678, "time": 0.39189} +{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.33275, "decode.acc_seg": 69.48069, "aux.loss_seg": 0.23678, "aux.acc_seg": 62.69694, "loss": 0.56954, "time": 0.40086} +{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.32126, "decode.acc_seg": 69.78448, "aux.loss_seg": 0.23041, "aux.acc_seg": 63.17121, "loss": 0.55167, "time": 0.40281} +{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.33351, "decode.acc_seg": 70.68648, "aux.loss_seg": 0.25111, "aux.acc_seg": 63.2959, "loss": 0.58462, "time": 0.41264} +{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.31627, "decode.acc_seg": 71.50363, "aux.loss_seg": 0.23225, "aux.acc_seg": 64.62711, "loss": 0.54852, "time": 0.39905} +{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31646, "decode.acc_seg": 69.81067, "aux.loss_seg": 0.23706, "aux.acc_seg": 62.38807, "loss": 0.55352, "time": 0.3952} +{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.34716, "decode.acc_seg": 69.36396, "aux.loss_seg": 0.23403, "aux.acc_seg": 63.14619, "loss": 0.58119, "time": 0.40221} +{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.33875, "decode.acc_seg": 69.5634, "aux.loss_seg": 0.2405, "aux.acc_seg": 62.87756, "loss": 0.57925, "time": 0.4075} +{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.32615, "decode.acc_seg": 68.93384, "aux.loss_seg": 0.23622, "aux.acc_seg": 61.94351, "loss": 0.56237, "time": 0.40414} +{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.31553, "decode.acc_seg": 71.54957, "aux.loss_seg": 0.22744, "aux.acc_seg": 65.11391, "loss": 0.54297, "time": 0.40554} +{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.32356, "decode.acc_seg": 68.67293, "aux.loss_seg": 0.23059, "aux.acc_seg": 62.15964, "loss": 0.55415, "time": 0.39291} +{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.33297, "decode.acc_seg": 69.63324, "aux.loss_seg": 0.23934, "aux.acc_seg": 62.92274, "loss": 0.57231, "time": 0.3938} +{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31615, "decode.acc_seg": 71.2242, "aux.loss_seg": 0.2311, "aux.acc_seg": 64.29289, "loss": 0.54725, "time": 0.39666} +{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.31361, "decode.acc_seg": 71.34615, "aux.loss_seg": 0.22618, "aux.acc_seg": 64.90696, "loss": 0.5398, "time": 0.40604} +{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 17837, "data_time": 0.00706, "decode.loss_seg": 0.33567, "decode.acc_seg": 70.51857, "aux.loss_seg": 0.2268, "aux.acc_seg": 64.80469, "loss": 0.56247, "time": 0.41683} +{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.33264, "decode.acc_seg": 70.64557, "aux.loss_seg": 0.23549, "aux.acc_seg": 64.10796, "loss": 0.56813, "time": 0.39738} +{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.32766, "decode.acc_seg": 70.00937, "aux.loss_seg": 0.23918, "aux.acc_seg": 63.10177, "loss": 0.56684, "time": 0.3955} +{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 17837, "data_time": 0.00714, "decode.loss_seg": 0.35064, "decode.acc_seg": 70.6144, "aux.loss_seg": 0.24543, "aux.acc_seg": 64.20755, "loss": 0.59608, "time": 0.40708} +{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.34368, "decode.acc_seg": 70.99657, "aux.loss_seg": 0.25216, "aux.acc_seg": 63.57714, "loss": 0.59584, "time": 0.39504} +{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 17837, "data_time": 0.24193, "decode.loss_seg": 0.32603, "decode.acc_seg": 71.40777, "aux.loss_seg": 0.23393, "aux.acc_seg": 64.73489, "loss": 0.55996, "time": 0.63375} +{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.32235, "decode.acc_seg": 71.176, "aux.loss_seg": 0.22153, "aux.acc_seg": 65.55342, "loss": 0.54388, "time": 0.40089} +{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.33918, "decode.acc_seg": 69.67839, "aux.loss_seg": 0.23901, "aux.acc_seg": 63.11826, "loss": 0.57819, "time": 0.3951} +{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.32652, "decode.acc_seg": 70.54823, "aux.loss_seg": 0.22939, "aux.acc_seg": 64.04266, "loss": 0.55591, "time": 0.39562} +{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.31828, "decode.acc_seg": 70.73219, "aux.loss_seg": 0.23125, "aux.acc_seg": 63.78931, "loss": 0.54953, "time": 0.39587} +{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.3022, "decode.acc_seg": 72.1332, "aux.loss_seg": 0.2341, "aux.acc_seg": 64.47078, "loss": 0.5363, "time": 0.39717} +{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.33227, "decode.acc_seg": 70.26666, "aux.loss_seg": 0.23881, "aux.acc_seg": 63.29538, "loss": 0.57109, "time": 0.39485} +{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.33775, "decode.acc_seg": 70.95397, "aux.loss_seg": 0.24056, "aux.acc_seg": 64.09983, "loss": 0.57831, "time": 0.40139} +{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.32056, "decode.acc_seg": 69.86423, "aux.loss_seg": 0.23104, "aux.acc_seg": 63.2407, "loss": 0.5516, "time": 0.39416} +{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.3422, "decode.acc_seg": 71.66646, "aux.loss_seg": 0.24239, "aux.acc_seg": 64.8224, "loss": 0.58458, "time": 0.40835} +{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.323, "decode.acc_seg": 71.98146, "aux.loss_seg": 0.22752, "aux.acc_seg": 65.43795, "loss": 0.55052, "time": 0.39778} +{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.31512, "decode.acc_seg": 71.10254, "aux.loss_seg": 0.22623, "aux.acc_seg": 64.91027, "loss": 0.54135, "time": 0.41272} +{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.32213, "decode.acc_seg": 69.225, "aux.loss_seg": 0.22726, "aux.acc_seg": 62.93706, "loss": 0.54939, "time": 0.39116} +{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.32131, "decode.acc_seg": 70.21126, "aux.loss_seg": 0.23372, "aux.acc_seg": 63.26014, "loss": 0.55503, "time": 0.39203} +{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.3303, "decode.acc_seg": 70.01394, "aux.loss_seg": 0.23961, "aux.acc_seg": 63.04156, "loss": 0.56991, "time": 0.39803} +{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.32839, "decode.acc_seg": 69.46035, "aux.loss_seg": 0.23554, "aux.acc_seg": 62.72201, "loss": 0.56393, "time": 0.40003} +{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.31799, "decode.acc_seg": 70.11201, "aux.loss_seg": 0.22882, "aux.acc_seg": 63.49345, "loss": 0.54681, "time": 0.41251} +{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.324, "decode.acc_seg": 70.20712, "aux.loss_seg": 0.23521, "aux.acc_seg": 63.58167, "loss": 0.55921, "time": 0.3951} +{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.33005, "decode.acc_seg": 70.01651, "aux.loss_seg": 0.24115, "aux.acc_seg": 63.13148, "loss": 0.5712, "time": 0.40983} +{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.32549, "decode.acc_seg": 69.25607, "aux.loss_seg": 0.22616, "aux.acc_seg": 63.17164, "loss": 0.55166, "time": 0.41026} +{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.33009, "decode.acc_seg": 68.50708, "aux.loss_seg": 0.22989, "aux.acc_seg": 62.44238, "loss": 0.55997, "time": 0.40254} +{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.33153, "decode.acc_seg": 71.29622, "aux.loss_seg": 0.23633, "aux.acc_seg": 64.71875, "loss": 0.56786, "time": 0.3995} +{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.35781, "decode.acc_seg": 67.84738, "aux.loss_seg": 0.2451, "aux.acc_seg": 61.24581, "loss": 0.60291, "time": 0.40424} +{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.33736, "decode.acc_seg": 70.78822, "aux.loss_seg": 0.2459, "aux.acc_seg": 63.79638, "loss": 0.58326, "time": 0.39466} +{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3255, "decode.acc_seg": 67.81385, "aux.loss_seg": 0.22891, "aux.acc_seg": 61.37322, "loss": 0.5544, "time": 0.39835} +{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 17837, "data_time": 0.24455, "decode.loss_seg": 0.35838, "decode.acc_seg": 69.2967, "aux.loss_seg": 0.25229, "aux.acc_seg": 62.45201, "loss": 0.61067, "time": 0.63793} +{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32299, "decode.acc_seg": 70.34674, "aux.loss_seg": 0.23338, "aux.acc_seg": 63.27787, "loss": 0.55637, "time": 0.39481} +{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.33063, "decode.acc_seg": 70.92788, "aux.loss_seg": 0.23921, "aux.acc_seg": 64.10394, "loss": 0.56984, "time": 0.39991} +{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.34005, "decode.acc_seg": 69.68341, "aux.loss_seg": 0.24247, "aux.acc_seg": 62.97941, "loss": 0.58252, "time": 0.40229} +{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.33072, "decode.acc_seg": 69.75394, "aux.loss_seg": 0.24005, "aux.acc_seg": 62.885, "loss": 0.57076, "time": 0.39312} +{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.34255, "decode.acc_seg": 70.65171, "aux.loss_seg": 0.2339, "aux.acc_seg": 64.53212, "loss": 0.57645, "time": 0.41008} +{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.31874, "decode.acc_seg": 68.99531, "aux.loss_seg": 0.22903, "aux.acc_seg": 62.59022, "loss": 0.54777, "time": 0.40154} +{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.34089, "decode.acc_seg": 70.64167, "aux.loss_seg": 0.24603, "aux.acc_seg": 63.54546, "loss": 0.58692, "time": 0.39382} +{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.31244, "decode.acc_seg": 71.75376, "aux.loss_seg": 0.22818, "aux.acc_seg": 65.06435, "loss": 0.54062, "time": 0.40112} +{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.3207, "decode.acc_seg": 70.87671, "aux.loss_seg": 0.22837, "aux.acc_seg": 64.74905, "loss": 0.54907, "time": 0.39476} +{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31967, "decode.acc_seg": 69.5332, "aux.loss_seg": 0.22595, "aux.acc_seg": 63.32308, "loss": 0.54562, "time": 0.41136} +{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.33518, "decode.acc_seg": 70.87637, "aux.loss_seg": 0.23976, "aux.acc_seg": 63.99293, "loss": 0.57495, "time": 0.40636} +{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.32456, "decode.acc_seg": 69.89173, "aux.loss_seg": 0.22869, "aux.acc_seg": 63.41422, "loss": 0.55325, "time": 0.40574} +{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 17837, "data_time": 0.00671, "decode.loss_seg": 0.32178, "decode.acc_seg": 70.30593, "aux.loss_seg": 0.24189, "aux.acc_seg": 62.96751, "loss": 0.56367, "time": 0.41256} +{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.32596, "decode.acc_seg": 71.56897, "aux.loss_seg": 0.2343, "aux.acc_seg": 64.77955, "loss": 0.56026, "time": 0.40419} +{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.31052, "decode.acc_seg": 69.97683, "aux.loss_seg": 0.23031, "aux.acc_seg": 62.94592, "loss": 0.54083, "time": 0.40686} +{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.31906, "decode.acc_seg": 70.93541, "aux.loss_seg": 0.23302, "aux.acc_seg": 64.40383, "loss": 0.55208, "time": 0.39715} +{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.32373, "decode.acc_seg": 69.2128, "aux.loss_seg": 0.23239, "aux.acc_seg": 62.45176, "loss": 0.55612, "time": 0.39144} +{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.312, "decode.acc_seg": 69.15693, "aux.loss_seg": 0.23073, "aux.acc_seg": 62.33787, "loss": 0.54273, "time": 0.39134} +{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.33223, "decode.acc_seg": 69.40513, "aux.loss_seg": 0.24365, "aux.acc_seg": 62.01042, "loss": 0.57588, "time": 0.39115} +{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.32061, "decode.acc_seg": 70.47002, "aux.loss_seg": 0.22509, "aux.acc_seg": 64.49222, "loss": 0.54569, "time": 0.39137} +{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32072, "decode.acc_seg": 69.40492, "aux.loss_seg": 0.22374, "aux.acc_seg": 63.22455, "loss": 0.54446, "time": 0.40029} +{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.32131, "decode.acc_seg": 71.00775, "aux.loss_seg": 0.23026, "aux.acc_seg": 64.32446, "loss": 0.55158, "time": 0.39417} +{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.32793, "decode.acc_seg": 69.6401, "aux.loss_seg": 0.2374, "aux.acc_seg": 62.78039, "loss": 0.56533, "time": 0.39936} +{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.34368, "decode.acc_seg": 71.05185, "aux.loss_seg": 0.24805, "aux.acc_seg": 63.90265, "loss": 0.59172, "time": 0.39859} +{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.31719, "decode.acc_seg": 70.56976, "aux.loss_seg": 0.22214, "aux.acc_seg": 64.29008, "loss": 0.53933, "time": 0.39185} +{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 17837, "data_time": 0.24355, "decode.loss_seg": 0.31684, "decode.acc_seg": 70.18698, "aux.loss_seg": 0.23043, "aux.acc_seg": 63.50306, "loss": 0.54727, "time": 0.63889} +{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.32089, "decode.acc_seg": 70.86978, "aux.loss_seg": 0.23566, "aux.acc_seg": 64.28617, "loss": 0.55655, "time": 0.3935} +{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.33074, "decode.acc_seg": 71.57264, "aux.loss_seg": 0.24225, "aux.acc_seg": 64.2115, "loss": 0.57299, "time": 0.40498} +{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.33251, "decode.acc_seg": 71.0701, "aux.loss_seg": 0.23558, "aux.acc_seg": 64.40374, "loss": 0.56809, "time": 0.41219} +{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.33006, "decode.acc_seg": 70.2879, "aux.loss_seg": 0.23097, "aux.acc_seg": 63.93139, "loss": 0.56103, "time": 0.405} +{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.32502, "decode.acc_seg": 70.15558, "aux.loss_seg": 0.23217, "aux.acc_seg": 63.49581, "loss": 0.55719, "time": 0.40394} +{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.31812, "decode.acc_seg": 71.27645, "aux.loss_seg": 0.24191, "aux.acc_seg": 63.69307, "loss": 0.56003, "time": 0.40163} +{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.32445, "decode.acc_seg": 69.47648, "aux.loss_seg": 0.23507, "aux.acc_seg": 62.53103, "loss": 0.55953, "time": 0.418} +{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.33101, "decode.acc_seg": 70.85645, "aux.loss_seg": 0.23366, "aux.acc_seg": 64.43232, "loss": 0.56467, "time": 0.39563} +{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.33671, "decode.acc_seg": 70.21459, "aux.loss_seg": 0.23739, "aux.acc_seg": 63.87519, "loss": 0.5741, "time": 0.41709} +{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.31382, "decode.acc_seg": 69.87858, "aux.loss_seg": 0.23173, "aux.acc_seg": 62.97115, "loss": 0.54555, "time": 0.4045} +{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.31344, "decode.acc_seg": 70.55093, "aux.loss_seg": 0.23032, "aux.acc_seg": 63.76163, "loss": 0.54376, "time": 0.39168} +{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.32606, "decode.acc_seg": 69.00652, "aux.loss_seg": 0.23724, "aux.acc_seg": 62.12014, "loss": 0.5633, "time": 0.3942} +{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.31822, "decode.acc_seg": 70.42262, "aux.loss_seg": 0.23402, "aux.acc_seg": 63.23983, "loss": 0.55223, "time": 0.39427} +{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.32676, "decode.acc_seg": 72.088, "aux.loss_seg": 0.23046, "aux.acc_seg": 65.73127, "loss": 0.55722, "time": 0.39542} +{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.32963, "decode.acc_seg": 71.26747, "aux.loss_seg": 0.23424, "aux.acc_seg": 64.20509, "loss": 0.56387, "time": 0.39217} +{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.32903, "decode.acc_seg": 71.47422, "aux.loss_seg": 0.23518, "aux.acc_seg": 64.88174, "loss": 0.56421, "time": 0.40005} +{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.333, "decode.acc_seg": 70.14759, "aux.loss_seg": 0.23643, "aux.acc_seg": 63.54552, "loss": 0.56943, "time": 0.39501} +{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.32346, "decode.acc_seg": 69.79217, "aux.loss_seg": 0.23534, "aux.acc_seg": 62.98842, "loss": 0.5588, "time": 0.39898} +{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.31168, "decode.acc_seg": 70.68483, "aux.loss_seg": 0.2247, "aux.acc_seg": 64.12613, "loss": 0.53638, "time": 0.4123} +{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.31012, "decode.acc_seg": 70.50548, "aux.loss_seg": 0.23126, "aux.acc_seg": 63.54975, "loss": 0.54138, "time": 0.40007} +{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.311, "decode.acc_seg": 70.71662, "aux.loss_seg": 0.23003, "aux.acc_seg": 63.77876, "loss": 0.54103, "time": 0.39629} +{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 17837, "data_time": 0.00708, "decode.loss_seg": 0.32261, "decode.acc_seg": 70.51278, "aux.loss_seg": 0.22726, "aux.acc_seg": 64.1165, "loss": 0.54987, "time": 0.39721} +{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.32621, "decode.acc_seg": 70.49377, "aux.loss_seg": 0.23673, "aux.acc_seg": 63.66663, "loss": 0.56294, "time": 0.39667} +{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 17837, "data_time": 0.00688, "decode.loss_seg": 0.34449, "decode.acc_seg": 71.03636, "aux.loss_seg": 0.24768, "aux.acc_seg": 63.77066, "loss": 0.59217, "time": 0.413} +{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 17837, "data_time": 0.23901, "decode.loss_seg": 0.32518, "decode.acc_seg": 70.80669, "aux.loss_seg": 0.23978, "aux.acc_seg": 63.70605, "loss": 0.56496, "time": 0.63575} +{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.32368, "decode.acc_seg": 71.17886, "aux.loss_seg": 0.23637, "aux.acc_seg": 64.05649, "loss": 0.56005, "time": 0.3971} +{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.30724, "decode.acc_seg": 71.71982, "aux.loss_seg": 0.22969, "aux.acc_seg": 64.48166, "loss": 0.53693, "time": 0.39816} +{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 17837, "data_time": 0.00706, "decode.loss_seg": 0.3064, "decode.acc_seg": 69.56009, "aux.loss_seg": 0.22407, "aux.acc_seg": 62.72636, "loss": 0.53048, "time": 0.4043} +{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 17837, "data_time": 0.00717, "decode.loss_seg": 0.31812, "decode.acc_seg": 70.85607, "aux.loss_seg": 0.2307, "aux.acc_seg": 63.98499, "loss": 0.54881, "time": 0.40418} +{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.32592, "decode.acc_seg": 70.69524, "aux.loss_seg": 0.24179, "aux.acc_seg": 63.57346, "loss": 0.56771, "time": 0.41655} +{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.31631, "decode.acc_seg": 70.58129, "aux.loss_seg": 0.22518, "aux.acc_seg": 64.07365, "loss": 0.54148, "time": 0.40402} +{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.31257, "decode.acc_seg": 70.97484, "aux.loss_seg": 0.22542, "aux.acc_seg": 64.66549, "loss": 0.53799, "time": 0.40288} +{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.31699, "decode.acc_seg": 70.8848, "aux.loss_seg": 0.2299, "aux.acc_seg": 64.31734, "loss": 0.54688, "time": 0.40127} +{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.32632, "decode.acc_seg": 69.82074, "aux.loss_seg": 0.23702, "aux.acc_seg": 63.04556, "loss": 0.56334, "time": 0.40369} +{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.30712, "decode.acc_seg": 71.72143, "aux.loss_seg": 0.22734, "aux.acc_seg": 65.22926, "loss": 0.53446, "time": 0.3933} +{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.30631, "decode.acc_seg": 70.61766, "aux.loss_seg": 0.21994, "aux.acc_seg": 64.35401, "loss": 0.52625, "time": 0.40176} +{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32495, "decode.acc_seg": 68.0327, "aux.loss_seg": 0.23637, "aux.acc_seg": 61.21487, "loss": 0.56132, "time": 0.39225} +{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.3273, "decode.acc_seg": 71.04468, "aux.loss_seg": 0.22718, "aux.acc_seg": 64.8647, "loss": 0.55448, "time": 0.39218} +{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.33751, "decode.acc_seg": 69.7448, "aux.loss_seg": 0.24244, "aux.acc_seg": 62.71464, "loss": 0.57994, "time": 0.3947} +{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32944, "decode.acc_seg": 70.69877, "aux.loss_seg": 0.23548, "aux.acc_seg": 64.24922, "loss": 0.56492, "time": 0.39453} +{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.32021, "decode.acc_seg": 70.32858, "aux.loss_seg": 0.22417, "aux.acc_seg": 64.305, "loss": 0.54438, "time": 0.39478} +{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.30843, "decode.acc_seg": 71.01071, "aux.loss_seg": 0.21923, "aux.acc_seg": 64.83772, "loss": 0.52766, "time": 0.39666} +{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.31667, "decode.acc_seg": 70.93532, "aux.loss_seg": 0.22897, "aux.acc_seg": 64.009, "loss": 0.54564, "time": 0.39334} +{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.31747, "decode.acc_seg": 70.285, "aux.loss_seg": 0.2169, "aux.acc_seg": 64.25849, "loss": 0.53437, "time": 0.40598} +{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30668, "decode.acc_seg": 70.55166, "aux.loss_seg": 0.21812, "aux.acc_seg": 64.2645, "loss": 0.5248, "time": 0.40219} +{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.30496, "decode.acc_seg": 71.01455, "aux.loss_seg": 0.22286, "aux.acc_seg": 64.1665, "loss": 0.52782, "time": 0.39594} +{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.33136, "decode.acc_seg": 70.08373, "aux.loss_seg": 0.23337, "aux.acc_seg": 63.87116, "loss": 0.56473, "time": 0.39737} +{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.32974, "decode.acc_seg": 70.29792, "aux.loss_seg": 0.24203, "aux.acc_seg": 63.55184, "loss": 0.57177, "time": 0.40766} +{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.31516, "decode.acc_seg": 70.49156, "aux.loss_seg": 0.22637, "aux.acc_seg": 64.03927, "loss": 0.54153, "time": 0.39368} +{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 17837, "data_time": 0.23787, "decode.loss_seg": 0.31755, "decode.acc_seg": 69.91758, "aux.loss_seg": 0.2294, "aux.acc_seg": 63.0894, "loss": 0.54695, "time": 0.62643} +{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.32172, "decode.acc_seg": 71.27935, "aux.loss_seg": 0.23037, "aux.acc_seg": 64.72785, "loss": 0.55208, "time": 0.39257} +{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.32533, "decode.acc_seg": 71.44349, "aux.loss_seg": 0.24059, "aux.acc_seg": 64.12144, "loss": 0.56592, "time": 0.39108} +{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29991, "decode.acc_seg": 70.13466, "aux.loss_seg": 0.21265, "aux.acc_seg": 63.98531, "loss": 0.51256, "time": 0.39043} +{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30337, "decode.acc_seg": 70.5964, "aux.loss_seg": 0.22854, "aux.acc_seg": 63.5781, "loss": 0.53191, "time": 0.39224} +{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.3159, "decode.acc_seg": 69.77667, "aux.loss_seg": 0.23257, "aux.acc_seg": 62.9736, "loss": 0.54848, "time": 0.39697} +{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.30051, "decode.acc_seg": 70.08625, "aux.loss_seg": 0.21941, "aux.acc_seg": 63.9275, "loss": 0.51991, "time": 0.40422} +{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.31836, "decode.acc_seg": 70.29702, "aux.loss_seg": 0.22676, "aux.acc_seg": 64.26377, "loss": 0.54512, "time": 0.39704} +{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31387, "decode.acc_seg": 69.47718, "aux.loss_seg": 0.22735, "aux.acc_seg": 62.65932, "loss": 0.54122, "time": 0.39406} +{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.30609, "decode.acc_seg": 71.69288, "aux.loss_seg": 0.22338, "aux.acc_seg": 65.3014, "loss": 0.52947, "time": 0.40542} +{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.32033, "decode.acc_seg": 70.24107, "aux.loss_seg": 0.23122, "aux.acc_seg": 63.75878, "loss": 0.55155, "time": 0.40507} +{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.31634, "decode.acc_seg": 70.79915, "aux.loss_seg": 0.23734, "aux.acc_seg": 63.63414, "loss": 0.55368, "time": 0.40312} +{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.32129, "decode.acc_seg": 70.48813, "aux.loss_seg": 0.23372, "aux.acc_seg": 63.29938, "loss": 0.55502, "time": 0.39416} +{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.30783, "decode.acc_seg": 71.49956, "aux.loss_seg": 0.23003, "aux.acc_seg": 64.63832, "loss": 0.53786, "time": 0.40942} +{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.33092, "decode.acc_seg": 70.32954, "aux.loss_seg": 0.24031, "aux.acc_seg": 63.47489, "loss": 0.57123, "time": 0.40593} +{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.32488, "decode.acc_seg": 70.19013, "aux.loss_seg": 0.22601, "aux.acc_seg": 64.1971, "loss": 0.55088, "time": 0.39919} +{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.31533, "decode.acc_seg": 70.19302, "aux.loss_seg": 0.21657, "aux.acc_seg": 64.181, "loss": 0.5319, "time": 0.39274} +{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.31836, "decode.acc_seg": 70.54478, "aux.loss_seg": 0.23097, "aux.acc_seg": 63.77009, "loss": 0.54933, "time": 0.39521} +{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30396, "decode.acc_seg": 70.32216, "aux.loss_seg": 0.22715, "aux.acc_seg": 63.23213, "loss": 0.53111, "time": 0.39925} +{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.32051, "decode.acc_seg": 71.02359, "aux.loss_seg": 0.2314, "aux.acc_seg": 64.35688, "loss": 0.55191, "time": 0.40987} +{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.31852, "decode.acc_seg": 70.68439, "aux.loss_seg": 0.23205, "aux.acc_seg": 63.71992, "loss": 0.55057, "time": 0.39367} +{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.32692, "decode.acc_seg": 70.57228, "aux.loss_seg": 0.23828, "aux.acc_seg": 63.47421, "loss": 0.5652, "time": 0.39327} +{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.32591, "decode.acc_seg": 69.04444, "aux.loss_seg": 0.22402, "aux.acc_seg": 63.00209, "loss": 0.54993, "time": 0.40353} +{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.33576, "decode.acc_seg": 68.6254, "aux.loss_seg": 0.24715, "aux.acc_seg": 61.01321, "loss": 0.58291, "time": 0.40117} +{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.3186, "decode.acc_seg": 70.00626, "aux.loss_seg": 0.23178, "aux.acc_seg": 63.31407, "loss": 0.55039, "time": 0.3969} +{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 17837, "data_time": 0.23809, "decode.loss_seg": 0.31856, "decode.acc_seg": 70.05284, "aux.loss_seg": 0.23185, "aux.acc_seg": 63.41925, "loss": 0.55041, "time": 0.62447} +{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32247, "decode.acc_seg": 71.08716, "aux.loss_seg": 0.23282, "aux.acc_seg": 64.46562, "loss": 0.55528, "time": 0.40096} +{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.31081, "decode.acc_seg": 69.68323, "aux.loss_seg": 0.22804, "aux.acc_seg": 62.97958, "loss": 0.53885, "time": 0.41161} +{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.30273, "decode.acc_seg": 71.22465, "aux.loss_seg": 0.22621, "aux.acc_seg": 64.09703, "loss": 0.52894, "time": 0.39951} +{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.29781, "decode.acc_seg": 71.57657, "aux.loss_seg": 0.22672, "aux.acc_seg": 64.7263, "loss": 0.52453, "time": 0.40047} +{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.30529, "decode.acc_seg": 71.07893, "aux.loss_seg": 0.22156, "aux.acc_seg": 64.48704, "loss": 0.52685, "time": 0.40595} +{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.31138, "decode.acc_seg": 69.75621, "aux.loss_seg": 0.23081, "aux.acc_seg": 63.14899, "loss": 0.54219, "time": 0.39662} +{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.32204, "decode.acc_seg": 71.27168, "aux.loss_seg": 0.24197, "aux.acc_seg": 63.81647, "loss": 0.56401, "time": 0.41317} +{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.30473, "decode.acc_seg": 69.96612, "aux.loss_seg": 0.2205, "aux.acc_seg": 63.47683, "loss": 0.52523, "time": 0.40812} +{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.32057, "decode.acc_seg": 71.50536, "aux.loss_seg": 0.22671, "aux.acc_seg": 65.12794, "loss": 0.54728, "time": 0.41617} +{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.32016, "decode.acc_seg": 71.41901, "aux.loss_seg": 0.22881, "aux.acc_seg": 65.05247, "loss": 0.54897, "time": 0.39929} +{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.31671, "decode.acc_seg": 70.39922, "aux.loss_seg": 0.2302, "aux.acc_seg": 63.62499, "loss": 0.5469, "time": 0.39629} +{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.3238, "decode.acc_seg": 70.14604, "aux.loss_seg": 0.23095, "aux.acc_seg": 63.64589, "loss": 0.55475, "time": 0.41296} +{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32486, "decode.acc_seg": 69.44577, "aux.loss_seg": 0.22925, "aux.acc_seg": 62.88396, "loss": 0.55412, "time": 0.39698} +{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.304, "decode.acc_seg": 71.67041, "aux.loss_seg": 0.23337, "aux.acc_seg": 64.31216, "loss": 0.53737, "time": 0.39459} +{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.32167, "decode.acc_seg": 70.78937, "aux.loss_seg": 0.23523, "aux.acc_seg": 63.74286, "loss": 0.5569, "time": 0.42168} +{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.33224, "decode.acc_seg": 69.91615, "aux.loss_seg": 0.24271, "aux.acc_seg": 62.97283, "loss": 0.57496, "time": 0.41021} +{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.31532, "decode.acc_seg": 70.64327, "aux.loss_seg": 0.23311, "aux.acc_seg": 63.27144, "loss": 0.54843, "time": 0.39673} +{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.32524, "decode.acc_seg": 69.46346, "aux.loss_seg": 0.23792, "aux.acc_seg": 61.97526, "loss": 0.56315, "time": 0.39216} +{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31512, "decode.acc_seg": 69.01432, "aux.loss_seg": 0.22378, "aux.acc_seg": 62.71086, "loss": 0.5389, "time": 0.39613} +{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.31046, "decode.acc_seg": 71.82454, "aux.loss_seg": 0.23022, "aux.acc_seg": 64.98929, "loss": 0.54068, "time": 0.39588} +{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.32363, "decode.acc_seg": 70.0588, "aux.loss_seg": 0.23476, "aux.acc_seg": 63.23684, "loss": 0.55839, "time": 0.39311} +{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.31789, "decode.acc_seg": 70.58681, "aux.loss_seg": 0.22066, "aux.acc_seg": 64.64115, "loss": 0.53855, "time": 0.39692} +{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.30574, "decode.acc_seg": 72.0363, "aux.loss_seg": 0.22464, "aux.acc_seg": 65.16997, "loss": 0.53038, "time": 0.41702} +{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.32215, "decode.acc_seg": 69.74506, "aux.loss_seg": 0.23149, "aux.acc_seg": 63.24649, "loss": 0.55364, "time": 0.40702} +{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.32186, "decode.acc_seg": 69.59144, "aux.loss_seg": 0.23135, "aux.acc_seg": 63.22135, "loss": 0.55322, "time": 0.40339} +{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 17837, "data_time": 0.252, "decode.loss_seg": 0.32091, "decode.acc_seg": 70.53693, "aux.loss_seg": 0.23743, "aux.acc_seg": 63.22043, "loss": 0.55834, "time": 0.64413} +{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.29863, "decode.acc_seg": 71.33393, "aux.loss_seg": 0.2328, "aux.acc_seg": 63.92205, "loss": 0.53143, "time": 0.41297} +{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.30765, "decode.acc_seg": 70.7964, "aux.loss_seg": 0.22222, "aux.acc_seg": 63.97553, "loss": 0.52987, "time": 0.41572} +{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32932, "decode.acc_seg": 69.74899, "aux.loss_seg": 0.22683, "aux.acc_seg": 63.89226, "loss": 0.55615, "time": 0.39213} +{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.29928, "decode.acc_seg": 72.00372, "aux.loss_seg": 0.22544, "aux.acc_seg": 65.04759, "loss": 0.52471, "time": 0.39045} +{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31464, "decode.acc_seg": 70.05037, "aux.loss_seg": 0.22605, "aux.acc_seg": 63.57183, "loss": 0.54069, "time": 0.39709} +{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.3083, "decode.acc_seg": 70.88524, "aux.loss_seg": 0.22512, "aux.acc_seg": 64.43595, "loss": 0.53342, "time": 0.39947} +{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.29891, "decode.acc_seg": 70.52219, "aux.loss_seg": 0.22309, "aux.acc_seg": 64.07111, "loss": 0.522, "time": 0.39342} +{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.30669, "decode.acc_seg": 71.39585, "aux.loss_seg": 0.22449, "aux.acc_seg": 64.63217, "loss": 0.53118, "time": 0.39688} +{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.3037, "decode.acc_seg": 72.42023, "aux.loss_seg": 0.22663, "aux.acc_seg": 65.56403, "loss": 0.53033, "time": 0.39674} +{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.29724, "decode.acc_seg": 70.25639, "aux.loss_seg": 0.21422, "aux.acc_seg": 63.83531, "loss": 0.51146, "time": 0.41244} +{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 17837, "data_time": 0.0056, "decode.loss_seg": 0.31961, "decode.acc_seg": 72.03005, "aux.loss_seg": 0.23617, "aux.acc_seg": 64.7522, "loss": 0.55578, "time": 0.39303} +{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.31561, "decode.acc_seg": 71.02382, "aux.loss_seg": 0.22575, "aux.acc_seg": 64.26971, "loss": 0.54136, "time": 0.39251} +{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.32448, "decode.acc_seg": 69.9169, "aux.loss_seg": 0.2285, "aux.acc_seg": 63.25883, "loss": 0.55298, "time": 0.40804} +{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.30333, "decode.acc_seg": 70.68765, "aux.loss_seg": 0.22005, "aux.acc_seg": 64.41002, "loss": 0.52338, "time": 0.40446} +{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.34015, "decode.acc_seg": 70.63727, "aux.loss_seg": 0.23822, "aux.acc_seg": 64.06514, "loss": 0.57837, "time": 0.39073} +{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.31781, "decode.acc_seg": 71.33676, "aux.loss_seg": 0.22426, "aux.acc_seg": 64.95015, "loss": 0.54207, "time": 0.39082} +{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.29894, "decode.acc_seg": 69.92544, "aux.loss_seg": 0.2191, "aux.acc_seg": 63.50591, "loss": 0.51804, "time": 0.39649} +{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.31519, "decode.acc_seg": 70.76131, "aux.loss_seg": 0.23239, "aux.acc_seg": 63.85361, "loss": 0.54759, "time": 0.39188} +{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.31978, "decode.acc_seg": 70.50384, "aux.loss_seg": 0.23399, "aux.acc_seg": 63.58475, "loss": 0.55378, "time": 0.39454} +{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.32486, "decode.acc_seg": 70.32004, "aux.loss_seg": 0.2286, "aux.acc_seg": 63.97481, "loss": 0.55346, "time": 0.39636} +{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.31205, "decode.acc_seg": 69.99543, "aux.loss_seg": 0.22509, "aux.acc_seg": 63.54671, "loss": 0.53714, "time": 0.39993} +{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.31116, "decode.acc_seg": 70.8599, "aux.loss_seg": 0.226, "aux.acc_seg": 64.15135, "loss": 0.53717, "time": 0.40186} +{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32193, "decode.acc_seg": 70.56334, "aux.loss_seg": 0.23683, "aux.acc_seg": 63.70161, "loss": 0.55876, "time": 0.40464} +{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.31627, "decode.acc_seg": 70.89521, "aux.loss_seg": 0.22934, "aux.acc_seg": 64.23328, "loss": 0.54561, "time": 0.39277} +{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 17837, "data_time": 0.24246, "decode.loss_seg": 0.32809, "decode.acc_seg": 71.55041, "aux.loss_seg": 0.2236, "aux.acc_seg": 65.5191, "loss": 0.55169, "time": 0.63166} +{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.32215, "decode.acc_seg": 71.42781, "aux.loss_seg": 0.23584, "aux.acc_seg": 64.2507, "loss": 0.55799, "time": 0.39993} +{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29677, "decode.acc_seg": 71.17605, "aux.loss_seg": 0.22126, "aux.acc_seg": 64.55285, "loss": 0.51802, "time": 0.40242} +{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29631, "decode.acc_seg": 72.18408, "aux.loss_seg": 0.22246, "aux.acc_seg": 65.14056, "loss": 0.51876, "time": 0.3959} +{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.32028, "decode.acc_seg": 70.73787, "aux.loss_seg": 0.23117, "aux.acc_seg": 63.79651, "loss": 0.55146, "time": 0.41812} +{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.29926, "decode.acc_seg": 71.18116, "aux.loss_seg": 0.22127, "aux.acc_seg": 64.50261, "loss": 0.52053, "time": 0.39988} +{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.29206, "decode.acc_seg": 70.7597, "aux.loss_seg": 0.21869, "aux.acc_seg": 64.09035, "loss": 0.51074, "time": 0.40691} +{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.30497, "decode.acc_seg": 70.42303, "aux.loss_seg": 0.21675, "aux.acc_seg": 64.31011, "loss": 0.52172, "time": 0.39472} +{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4409, "mAcc": 0.5612, "aAcc": 0.8102, "IoU.wall": 0.7456, "IoU.building": 0.8083, "IoU.sky": 0.9371, "IoU.floor": 0.7931, "IoU.tree": 0.7306, "IoU.ceiling": 0.8167, "IoU.road": 0.8062, "IoU.bed ": 0.8488, "IoU.windowpane": 0.5868, "IoU.grass": 0.6598, "IoU.cabinet": 0.562, "IoU.sidewalk": 0.621, "IoU.person": 0.7577, "IoU.earth": 0.3465, "IoU.door": 0.3826, "IoU.table": 0.5248, "IoU.mountain": 0.6199, "IoU.plant": 0.5078, "IoU.curtain": 0.672, "IoU.chair": 0.4936, "IoU.car": 0.8072, "IoU.water": 0.5434, "IoU.painting": 0.6931, "IoU.sofa": 0.5498, "IoU.shelf": 0.392, "IoU.house": 0.4758, "IoU.sea": 0.627, "IoU.mirror": 0.5454, "IoU.rug": 0.6367, "IoU.field": 0.3443, "IoU.armchair": 0.3479, "IoU.seat": 0.5898, "IoU.fence": 0.3938, "IoU.desk": 0.4287, "IoU.rock": 0.4534, "IoU.wardrobe": 0.4382, "IoU.lamp": 0.5395, "IoU.bathtub": 0.7034, "IoU.railing": 0.336, "IoU.cushion": 0.4937, "IoU.base": 0.2888, "IoU.box": 0.219, "IoU.column": 0.4057, "IoU.signboard": 0.321, "IoU.chest of drawers": 0.3847, "IoU.counter": 0.2797, "IoU.sand": 0.3832, "IoU.sink": 0.6336, "IoU.skyscraper": 0.5637, "IoU.fireplace": NaN, "IoU.refrigerator": 0.682, "IoU.grandstand": 0.4406, "IoU.path": 0.1511, "IoU.stairs": 0.2294, "IoU.runway": 0.6897, "IoU.case": 0.4807, "IoU.pool table": 0.8936, "IoU.pillow": 0.4414, "IoU.screen door": 0.4673, "IoU.stairway": 0.2688, "IoU.river": 0.1557, "IoU.bridge": 0.6028, "IoU.bookcase": 0.3892, "IoU.blind": NaN, "IoU.coffee table": 0.5138, "IoU.toilet": 0.7938, "IoU.flower": 0.4059, "IoU.book": 0.4411, "IoU.hill": 0.1065, "IoU.bench": 0.3849, "IoU.countertop": 0.4856, "IoU.stove": 0.6552, "IoU.palm": 0.4818, "IoU.kitchen island": 0.3351, "IoU.computer": 0.644, "IoU.swivel chair": 0.4087, "IoU.boat": 0.4061, "IoU.bar": 0.2323, "IoU.arcade machine": 0.6852, "IoU.hovel": 0.3587, "IoU.bus": 0.8002, "IoU.towel": 0.5931, "IoU.light": 0.4754, "IoU.truck": 0.1461, "IoU.tower": 0.2938, "IoU.chandelier": 0.6071, "IoU.awning": 0.2301, "IoU.streetlight": 0.1889, "IoU.booth": 0.5048, "IoU.television receiver": NaN, "IoU.airplane": 0.5036, "IoU.dirt track": 0.1679, "IoU.apparel": 0.2355, "IoU.pole": 0.1192, "IoU.land": 0.0401, "IoU.bannister": 0.0421, "IoU.escalator": 0.3027, "IoU.ottoman": 0.3713, "IoU.bottle": NaN, "IoU.buffet": 0.4691, "IoU.poster": 0.2369, "IoU.stage": 0.145, "IoU.van": 0.3977, "IoU.ship": 0.4061, "IoU.fountain": 0.2233, "IoU.conveyer belt": 0.6442, "IoU.canopy": 0.208, "IoU.washer": 0.6513, "IoU.plaything": 0.1479, "IoU.swimming pool": 0.7175, "IoU.stool": 0.3264, "IoU.barrel": 0.5138, "IoU.basket": 0.2286, "IoU.waterfall": 0.5422, "IoU.tent": 0.9183, "IoU.bag": 0.0749, "IoU.minibike": 0.6959, "IoU.cradle": NaN, "IoU.oven": 0.3097, "IoU.ball": 0.2703, "IoU.food": 0.4818, "IoU.step": 0.0511, "IoU.tank": 0.5393, "IoU.trade name": 0.1358, "IoU.microwave": 0.7631, "IoU.pot": 0.448, "IoU.animal": NaN, "IoU.bicycle": 0.4795, "IoU.lake": 0.0309, "IoU.dishwasher": 0.4529, "IoU.screen": 0.6691, "IoU.blanket": 0.0807, "IoU.sculpture": 0.4661, "IoU.hood": 0.519, "IoU.sconce": 0.3828, "IoU.vase": 0.3036, "IoU.traffic light": 0.2002, "IoU.tray": 0.0524, "IoU.ashcan": 0.2848, "IoU.fan": 0.5097, "IoU.pier": 0.311, "IoU.crt screen": 0.0811, "IoU.plate": 0.512, "IoU.monitor": 0.1292, "IoU.bulletin board": 0.2889, "IoU.shower": 0.0043, "IoU.radiator": 0.4791, "IoU.glass": 0.1111, "IoU.clock": 0.2988, "IoU.flag": 0.4103, "Acc.wall": 0.8745, "Acc.building": 0.9064, "Acc.sky": 0.971, "Acc.floor": 0.9, "Acc.tree": 0.8613, "Acc.ceiling": 0.9084, "Acc.road": 0.8847, "Acc.bed ": 0.9392, "Acc.windowpane": 0.7637, "Acc.grass": 0.8355, "Acc.cabinet": 0.6697, "Acc.sidewalk": 0.7849, "Acc.person": 0.8945, "Acc.earth": 0.4653, "Acc.door": 0.5006, "Acc.table": 0.7146, "Acc.mountain": 0.7592, "Acc.plant": 0.6281, "Acc.curtain": 0.8084, "Acc.chair": 0.6418, "Acc.car": 0.8998, "Acc.water": 0.7221, "Acc.painting": 0.8274, "Acc.sofa": 0.698, "Acc.shelf": 0.5577, "Acc.house": 0.69, "Acc.sea": 0.8298, "Acc.mirror": 0.6387, "Acc.rug": 0.7014, "Acc.field": 0.5684, "Acc.armchair": 0.5208, "Acc.seat": 0.758, "Acc.fence": 0.5456, "Acc.desk": 0.6308, "Acc.rock": 0.7061, "Acc.wardrobe": 0.6616, "Acc.lamp": 0.6625, "Acc.bathtub": 0.8198, "Acc.railing": 0.5354, "Acc.cushion": 0.731, "Acc.base": 0.3754, "Acc.box": 0.2985, "Acc.column": 0.515, "Acc.signboard": 0.4563, "Acc.chest of drawers": 0.5165, "Acc.counter": 0.3876, "Acc.sand": 0.5567, "Acc.sink": 0.7241, "Acc.skyscraper": 0.7385, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8405, "Acc.grandstand": 0.7694, "Acc.path": 0.1955, "Acc.stairs": 0.2674, "Acc.runway": 0.9201, "Acc.case": 0.6176, "Acc.pool table": 0.9584, "Acc.pillow": 0.529, "Acc.screen door": 0.5495, "Acc.stairway": 0.3377, "Acc.river": 0.2569, "Acc.bridge": 0.7314, "Acc.bookcase": 0.4677, "Acc.blind": NaN, "Acc.coffee table": 0.7862, "Acc.toilet": 0.8705, "Acc.flower": 0.556, "Acc.book": 0.6592, "Acc.hill": 0.179, "Acc.bench": 0.4742, "Acc.countertop": 0.615, "Acc.stove": 0.8315, "Acc.palm": 0.6719, "Acc.kitchen island": 0.6885, "Acc.computer": 0.7996, "Acc.swivel chair": 0.5799, "Acc.boat": 0.4742, "Acc.bar": 0.3051, "Acc.arcade machine": 0.7313, "Acc.hovel": 0.3756, "Acc.bus": 0.9156, "Acc.towel": 0.7517, "Acc.light": 0.5412, "Acc.truck": 0.2362, "Acc.tower": 0.4842, "Acc.chandelier": 0.8119, "Acc.awning": 0.2812, "Acc.streetlight": 0.2604, "Acc.booth": 0.6005, "Acc.television receiver": NaN, "Acc.airplane": 0.5719, "Acc.dirt track": 0.3256, "Acc.apparel": 0.4236, "Acc.pole": 0.153, "Acc.land": 0.0565, "Acc.bannister": 0.0545, "Acc.escalator": 0.3673, "Acc.ottoman": 0.5331, "Acc.bottle": NaN, "Acc.buffet": 0.5556, "Acc.poster": 0.4007, "Acc.stage": 0.2998, "Acc.van": 0.51, "Acc.ship": 0.6333, "Acc.fountain": 0.2354, "Acc.conveyer belt": 0.7798, "Acc.canopy": 0.2845, "Acc.washer": 0.6839, "Acc.plaything": 0.2586, "Acc.swimming pool": 0.7962, "Acc.stool": 0.4933, "Acc.barrel": 0.6367, "Acc.basket": 0.2762, "Acc.waterfall": 0.6839, "Acc.tent": 0.9889, "Acc.bag": 0.0891, "Acc.minibike": 0.8718, "Acc.cradle": NaN, "Acc.oven": 0.4163, "Acc.ball": 0.2756, "Acc.food": 0.5627, "Acc.step": 0.0609, "Acc.tank": 0.6212, "Acc.trade name": 0.1472, "Acc.microwave": 0.9023, "Acc.pot": 0.5119, "Acc.animal": NaN, "Acc.bicycle": 0.7702, "Acc.lake": 0.0324, "Acc.dishwasher": 0.5607, "Acc.screen": 0.8634, "Acc.blanket": 0.0917, "Acc.sculpture": 0.7577, "Acc.hood": 0.61, "Acc.sconce": 0.4462, "Acc.vase": 0.4318, "Acc.traffic light": 0.3361, "Acc.tray": 0.0811, "Acc.ashcan": 0.394, "Acc.fan": 0.6458, "Acc.pier": 0.5095, "Acc.crt screen": 0.1807, "Acc.plate": 0.6302, "Acc.monitor": 0.1645, "Acc.bulletin board": 0.3886, "Acc.shower": 0.0356, "Acc.radiator": 0.5267, "Acc.glass": 0.1285, "Acc.clock": 0.3746, "Acc.flag": 0.4881} +{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 17837, "data_time": 1.47018, "decode.loss_seg": 0.33367, "decode.acc_seg": 71.83198, "aux.loss_seg": 0.24337, "aux.acc_seg": 64.74783, "loss": 0.57705, "time": 1.85862} +{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.30231, "decode.acc_seg": 71.27202, "aux.loss_seg": 0.22366, "aux.acc_seg": 64.67616, "loss": 0.52596, "time": 0.39246} +{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.29694, "decode.acc_seg": 70.38772, "aux.loss_seg": 0.21951, "aux.acc_seg": 63.95648, "loss": 0.51645, "time": 0.40292} +{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.31678, "decode.acc_seg": 72.44119, "aux.loss_seg": 0.23166, "aux.acc_seg": 65.68262, "loss": 0.54844, "time": 0.40408} +{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.31795, "decode.acc_seg": 69.12001, "aux.loss_seg": 0.22884, "aux.acc_seg": 62.59297, "loss": 0.54679, "time": 0.402} +{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 17837, "data_time": 0.00532, "decode.loss_seg": 0.33013, "decode.acc_seg": 69.38932, "aux.loss_seg": 0.23438, "aux.acc_seg": 62.77281, "loss": 0.5645, "time": 0.40877} +{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.306, "decode.acc_seg": 71.58749, "aux.loss_seg": 0.2229, "aux.acc_seg": 65.34564, "loss": 0.52891, "time": 0.41136} +{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 17837, "data_time": 0.00542, "decode.loss_seg": 0.3108, "decode.acc_seg": 69.63959, "aux.loss_seg": 0.22368, "aux.acc_seg": 63.43529, "loss": 0.53448, "time": 0.39444} +{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.30213, "decode.acc_seg": 71.72755, "aux.loss_seg": 0.22963, "aux.acc_seg": 64.59677, "loss": 0.53176, "time": 0.40523} +{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.30846, "decode.acc_seg": 72.66034, "aux.loss_seg": 0.23472, "aux.acc_seg": 65.37382, "loss": 0.54318, "time": 0.41194} +{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30109, "decode.acc_seg": 69.72276, "aux.loss_seg": 0.23175, "aux.acc_seg": 62.26204, "loss": 0.53285, "time": 0.40632} +{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.30638, "decode.acc_seg": 72.00246, "aux.loss_seg": 0.23023, "aux.acc_seg": 65.03575, "loss": 0.5366, "time": 0.3938} +{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 17837, "data_time": 0.0053, "decode.loss_seg": 0.30438, "decode.acc_seg": 70.8327, "aux.loss_seg": 0.22483, "aux.acc_seg": 64.0659, "loss": 0.52921, "time": 0.40612} +{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.31324, "decode.acc_seg": 70.07122, "aux.loss_seg": 0.22903, "aux.acc_seg": 63.34577, "loss": 0.54227, "time": 0.39556} +{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.30568, "decode.acc_seg": 70.41653, "aux.loss_seg": 0.21977, "aux.acc_seg": 64.13256, "loss": 0.52546, "time": 0.39876} +{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.2986, "decode.acc_seg": 70.44455, "aux.loss_seg": 0.21898, "aux.acc_seg": 64.00379, "loss": 0.51758, "time": 0.40093} +{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 17837, "data_time": 0.24293, "decode.loss_seg": 0.29951, "decode.acc_seg": 71.59062, "aux.loss_seg": 0.22342, "aux.acc_seg": 64.82275, "loss": 0.52294, "time": 0.64003} +{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.29226, "decode.acc_seg": 70.08904, "aux.loss_seg": 0.22235, "aux.acc_seg": 63.17319, "loss": 0.51461, "time": 0.4133} +{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.30375, "decode.acc_seg": 70.97047, "aux.loss_seg": 0.21524, "aux.acc_seg": 64.97531, "loss": 0.51899, "time": 0.39303} +{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.31017, "decode.acc_seg": 70.71895, "aux.loss_seg": 0.2304, "aux.acc_seg": 63.62979, "loss": 0.54057, "time": 0.39739} +{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30475, "decode.acc_seg": 71.32233, "aux.loss_seg": 0.21675, "aux.acc_seg": 65.33963, "loss": 0.5215, "time": 0.40106} +{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.30366, "decode.acc_seg": 70.98666, "aux.loss_seg": 0.22551, "aux.acc_seg": 64.23661, "loss": 0.52917, "time": 0.40123} +{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.29964, "decode.acc_seg": 71.81146, "aux.loss_seg": 0.22548, "aux.acc_seg": 65.2262, "loss": 0.52512, "time": 0.40996} +{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.31467, "decode.acc_seg": 71.19333, "aux.loss_seg": 0.22636, "aux.acc_seg": 64.68163, "loss": 0.54103, "time": 0.39532} +{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.31431, "decode.acc_seg": 70.36226, "aux.loss_seg": 0.2209, "aux.acc_seg": 64.36208, "loss": 0.53521, "time": 0.4139} +{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.30566, "decode.acc_seg": 71.52906, "aux.loss_seg": 0.22347, "aux.acc_seg": 64.91842, "loss": 0.52912, "time": 0.41267} +{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.30737, "decode.acc_seg": 70.94626, "aux.loss_seg": 0.23214, "aux.acc_seg": 63.60055, "loss": 0.53951, "time": 0.39793} +{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.29516, "decode.acc_seg": 71.17698, "aux.loss_seg": 0.21169, "aux.acc_seg": 65.29516, "loss": 0.50684, "time": 0.39622} +{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.3033, "decode.acc_seg": 71.06852, "aux.loss_seg": 0.22547, "aux.acc_seg": 64.40577, "loss": 0.52877, "time": 0.41594} +{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.32476, "decode.acc_seg": 70.25287, "aux.loss_seg": 0.23918, "aux.acc_seg": 63.24113, "loss": 0.56394, "time": 0.42095} +{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.31304, "decode.acc_seg": 69.97591, "aux.loss_seg": 0.21913, "aux.acc_seg": 63.96112, "loss": 0.53217, "time": 0.41132} +{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.28616, "decode.acc_seg": 71.96711, "aux.loss_seg": 0.20922, "aux.acc_seg": 65.79315, "loss": 0.49538, "time": 0.40092} +{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.30223, "decode.acc_seg": 69.74854, "aux.loss_seg": 0.22115, "aux.acc_seg": 63.16635, "loss": 0.52338, "time": 0.39953} +{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.30958, "decode.acc_seg": 69.83711, "aux.loss_seg": 0.23146, "aux.acc_seg": 63.04319, "loss": 0.54104, "time": 0.39748} +{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.3054, "decode.acc_seg": 70.65648, "aux.loss_seg": 0.22066, "aux.acc_seg": 64.08624, "loss": 0.52606, "time": 0.39946} +{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.3246, "decode.acc_seg": 70.61825, "aux.loss_seg": 0.22824, "aux.acc_seg": 63.95077, "loss": 0.55284, "time": 0.3954} +{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.33875, "decode.acc_seg": 70.30139, "aux.loss_seg": 0.24681, "aux.acc_seg": 63.18219, "loss": 0.58556, "time": 0.39363} +{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.31098, "decode.acc_seg": 70.61189, "aux.loss_seg": 0.23414, "aux.acc_seg": 63.47969, "loss": 0.54512, "time": 0.3951} +{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29709, "decode.acc_seg": 70.29184, "aux.loss_seg": 0.22643, "aux.acc_seg": 63.01433, "loss": 0.52352, "time": 0.40735} +{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.30834, "decode.acc_seg": 70.91414, "aux.loss_seg": 0.22724, "aux.acc_seg": 63.94341, "loss": 0.53559, "time": 0.39458} +{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.31156, "decode.acc_seg": 70.18724, "aux.loss_seg": 0.23265, "aux.acc_seg": 63.09481, "loss": 0.54421, "time": 0.39641} +{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 17837, "data_time": 0.2409, "decode.loss_seg": 0.31208, "decode.acc_seg": 70.71317, "aux.loss_seg": 0.22693, "aux.acc_seg": 64.15477, "loss": 0.53901, "time": 0.63723} +{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.3194, "decode.acc_seg": 71.66533, "aux.loss_seg": 0.23095, "aux.acc_seg": 64.73305, "loss": 0.55034, "time": 0.39861} +{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.29467, "decode.acc_seg": 71.75172, "aux.loss_seg": 0.22182, "aux.acc_seg": 64.79158, "loss": 0.51649, "time": 0.40545} +{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 17837, "data_time": 0.00749, "decode.loss_seg": 0.31382, "decode.acc_seg": 72.02627, "aux.loss_seg": 0.23335, "aux.acc_seg": 64.93603, "loss": 0.54717, "time": 0.40881} +{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.31659, "decode.acc_seg": 70.12672, "aux.loss_seg": 0.22469, "aux.acc_seg": 63.79508, "loss": 0.54128, "time": 0.40306} +{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.31453, "decode.acc_seg": 70.60139, "aux.loss_seg": 0.23504, "aux.acc_seg": 63.67877, "loss": 0.54957, "time": 0.40232} +{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.30627, "decode.acc_seg": 69.96914, "aux.loss_seg": 0.21848, "aux.acc_seg": 63.56401, "loss": 0.52475, "time": 0.4172} +{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31122, "decode.acc_seg": 70.5168, "aux.loss_seg": 0.22872, "aux.acc_seg": 63.78838, "loss": 0.53994, "time": 0.39891} +{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.29981, "decode.acc_seg": 72.14653, "aux.loss_seg": 0.21964, "aux.acc_seg": 65.87559, "loss": 0.51945, "time": 0.40954} +{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.30516, "decode.acc_seg": 70.45999, "aux.loss_seg": 0.22682, "aux.acc_seg": 63.52781, "loss": 0.53198, "time": 0.39995} +{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.3191, "decode.acc_seg": 72.40029, "aux.loss_seg": 0.22688, "aux.acc_seg": 65.95344, "loss": 0.54598, "time": 0.39689} +{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.30254, "decode.acc_seg": 72.14746, "aux.loss_seg": 0.22314, "aux.acc_seg": 64.98897, "loss": 0.52568, "time": 0.41204} +{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.28742, "decode.acc_seg": 71.91554, "aux.loss_seg": 0.2097, "aux.acc_seg": 65.84665, "loss": 0.49712, "time": 0.39932} +{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.30018, "decode.acc_seg": 70.22488, "aux.loss_seg": 0.22406, "aux.acc_seg": 63.35703, "loss": 0.52424, "time": 0.39986} +{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.30114, "decode.acc_seg": 70.41202, "aux.loss_seg": 0.22146, "aux.acc_seg": 63.67452, "loss": 0.52259, "time": 0.40427} +{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.30344, "decode.acc_seg": 70.87311, "aux.loss_seg": 0.22488, "aux.acc_seg": 63.90673, "loss": 0.52832, "time": 0.40853} +{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.30092, "decode.acc_seg": 70.66589, "aux.loss_seg": 0.21973, "aux.acc_seg": 64.11082, "loss": 0.52065, "time": 0.39541} +{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.3019, "decode.acc_seg": 71.48859, "aux.loss_seg": 0.2315, "aux.acc_seg": 64.13603, "loss": 0.5334, "time": 0.40465} +{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.30455, "decode.acc_seg": 71.85106, "aux.loss_seg": 0.22549, "aux.acc_seg": 65.02402, "loss": 0.53004, "time": 0.3922} +{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 17837, "data_time": 0.00705, "decode.loss_seg": 0.30777, "decode.acc_seg": 71.77187, "aux.loss_seg": 0.22409, "aux.acc_seg": 65.51162, "loss": 0.53186, "time": 0.39842} +{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.30159, "decode.acc_seg": 71.0249, "aux.loss_seg": 0.22441, "aux.acc_seg": 64.46036, "loss": 0.526, "time": 0.40487} +{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.30866, "decode.acc_seg": 70.40437, "aux.loss_seg": 0.23175, "aux.acc_seg": 63.31353, "loss": 0.54041, "time": 0.39625} +{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.30768, "decode.acc_seg": 71.25542, "aux.loss_seg": 0.22747, "aux.acc_seg": 64.54035, "loss": 0.53515, "time": 0.40923} +{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.29127, "decode.acc_seg": 71.54727, "aux.loss_seg": 0.21618, "aux.acc_seg": 64.84979, "loss": 0.50744, "time": 0.39798} +{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.31306, "decode.acc_seg": 70.06786, "aux.loss_seg": 0.22328, "aux.acc_seg": 63.73699, "loss": 0.53634, "time": 0.39893} +{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.31949, "decode.acc_seg": 70.35434, "aux.loss_seg": 0.22854, "aux.acc_seg": 63.46656, "loss": 0.54802, "time": 0.41148} +{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 17837, "data_time": 0.24483, "decode.loss_seg": 0.29517, "decode.acc_seg": 71.00219, "aux.loss_seg": 0.21751, "aux.acc_seg": 64.16109, "loss": 0.51268, "time": 0.65065} +{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.29296, "decode.acc_seg": 70.63121, "aux.loss_seg": 0.21633, "aux.acc_seg": 64.39888, "loss": 0.50929, "time": 0.40933} +{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.30635, "decode.acc_seg": 71.30424, "aux.loss_seg": 0.23196, "aux.acc_seg": 64.16919, "loss": 0.53831, "time": 0.4071} +{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.29838, "decode.acc_seg": 71.88924, "aux.loss_seg": 0.21465, "aux.acc_seg": 65.63749, "loss": 0.51303, "time": 0.40044} +{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.31295, "decode.acc_seg": 69.85412, "aux.loss_seg": 0.22736, "aux.acc_seg": 63.04024, "loss": 0.54031, "time": 0.40344} +{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.29588, "decode.acc_seg": 70.55836, "aux.loss_seg": 0.21615, "aux.acc_seg": 64.22901, "loss": 0.51204, "time": 0.39547} +{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.30935, "decode.acc_seg": 71.16164, "aux.loss_seg": 0.22697, "aux.acc_seg": 64.3327, "loss": 0.53633, "time": 0.41713} +{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.30729, "decode.acc_seg": 69.79174, "aux.loss_seg": 0.22375, "aux.acc_seg": 62.99671, "loss": 0.53104, "time": 0.40793} +{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30405, "decode.acc_seg": 71.18626, "aux.loss_seg": 0.22159, "aux.acc_seg": 64.67496, "loss": 0.52564, "time": 0.41207} +{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.30735, "decode.acc_seg": 71.26142, "aux.loss_seg": 0.22939, "aux.acc_seg": 64.13301, "loss": 0.53675, "time": 0.39679} +{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.29491, "decode.acc_seg": 70.89306, "aux.loss_seg": 0.21621, "aux.acc_seg": 64.22133, "loss": 0.51113, "time": 0.39565} +{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.30901, "decode.acc_seg": 70.56336, "aux.loss_seg": 0.2249, "aux.acc_seg": 63.98612, "loss": 0.53391, "time": 0.40331} +{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.30707, "decode.acc_seg": 70.23282, "aux.loss_seg": 0.23038, "aux.acc_seg": 63.18317, "loss": 0.53745, "time": 0.41152} +{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.29659, "decode.acc_seg": 71.80318, "aux.loss_seg": 0.21762, "aux.acc_seg": 65.14967, "loss": 0.51421, "time": 0.39705} +{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.29967, "decode.acc_seg": 70.48252, "aux.loss_seg": 0.21593, "aux.acc_seg": 64.08729, "loss": 0.5156, "time": 0.3995} +{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.2981, "decode.acc_seg": 69.49227, "aux.loss_seg": 0.22532, "aux.acc_seg": 62.09008, "loss": 0.52342, "time": 0.39925} +{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.28687, "decode.acc_seg": 70.16932, "aux.loss_seg": 0.2108, "aux.acc_seg": 64.006, "loss": 0.49767, "time": 0.39438} +{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.30356, "decode.acc_seg": 70.6242, "aux.loss_seg": 0.22445, "aux.acc_seg": 63.69937, "loss": 0.52801, "time": 0.41803} +{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.28866, "decode.acc_seg": 70.60832, "aux.loss_seg": 0.21126, "aux.acc_seg": 64.21903, "loss": 0.49992, "time": 0.39826} +{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.29905, "decode.acc_seg": 70.0989, "aux.loss_seg": 0.22597, "aux.acc_seg": 63.08122, "loss": 0.52502, "time": 0.40037} +{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.32233, "decode.acc_seg": 71.91554, "aux.loss_seg": 0.22525, "aux.acc_seg": 65.19364, "loss": 0.54758, "time": 0.40181} +{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.31114, "decode.acc_seg": 70.97564, "aux.loss_seg": 0.22748, "aux.acc_seg": 64.06468, "loss": 0.53863, "time": 0.40706} +{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.31277, "decode.acc_seg": 70.0862, "aux.loss_seg": 0.22859, "aux.acc_seg": 63.28821, "loss": 0.54136, "time": 0.40155} +{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.29619, "decode.acc_seg": 71.30782, "aux.loss_seg": 0.21741, "aux.acc_seg": 64.80822, "loss": 0.5136, "time": 0.41165} +{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.30757, "decode.acc_seg": 71.01079, "aux.loss_seg": 0.22618, "aux.acc_seg": 64.6451, "loss": 0.53375, "time": 0.40611} +{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 17837, "data_time": 0.2475, "decode.loss_seg": 0.28621, "decode.acc_seg": 72.48277, "aux.loss_seg": 0.21214, "aux.acc_seg": 66.14453, "loss": 0.49834, "time": 0.63928} +{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.2922, "decode.acc_seg": 71.79684, "aux.loss_seg": 0.22026, "aux.acc_seg": 65.14092, "loss": 0.51246, "time": 0.4011} +{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.29172, "decode.acc_seg": 71.39027, "aux.loss_seg": 0.21566, "aux.acc_seg": 64.79363, "loss": 0.50738, "time": 0.39597} +{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.29455, "decode.acc_seg": 71.56879, "aux.loss_seg": 0.21348, "aux.acc_seg": 65.34999, "loss": 0.50804, "time": 0.39856} +{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.31195, "decode.acc_seg": 70.5724, "aux.loss_seg": 0.22197, "aux.acc_seg": 64.26915, "loss": 0.53392, "time": 0.40198} +{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.30347, "decode.acc_seg": 71.15205, "aux.loss_seg": 0.21647, "aux.acc_seg": 64.93169, "loss": 0.51995, "time": 0.39788} +{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.29937, "decode.acc_seg": 72.05284, "aux.loss_seg": 0.21943, "aux.acc_seg": 65.7289, "loss": 0.5188, "time": 0.39651} +{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.31345, "decode.acc_seg": 70.84356, "aux.loss_seg": 0.22961, "aux.acc_seg": 63.92751, "loss": 0.54306, "time": 0.39933} +{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.29397, "decode.acc_seg": 72.30608, "aux.loss_seg": 0.22141, "aux.acc_seg": 65.62444, "loss": 0.51538, "time": 0.41379} +{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28574, "decode.acc_seg": 70.684, "aux.loss_seg": 0.21064, "aux.acc_seg": 64.52908, "loss": 0.49638, "time": 0.40685} +{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.28136, "decode.acc_seg": 71.06202, "aux.loss_seg": 0.20903, "aux.acc_seg": 64.40946, "loss": 0.49039, "time": 0.40271} +{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.32339, "decode.acc_seg": 71.37822, "aux.loss_seg": 0.22957, "aux.acc_seg": 64.92338, "loss": 0.55296, "time": 0.39313} +{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.30746, "decode.acc_seg": 71.64906, "aux.loss_seg": 0.22049, "aux.acc_seg": 65.1983, "loss": 0.52795, "time": 0.3926} +{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.30467, "decode.acc_seg": 70.13161, "aux.loss_seg": 0.22042, "aux.acc_seg": 63.81036, "loss": 0.52509, "time": 0.40066} +{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.30956, "decode.acc_seg": 70.69689, "aux.loss_seg": 0.22008, "aux.acc_seg": 64.66202, "loss": 0.52964, "time": 0.4067} +{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29637, "decode.acc_seg": 69.79605, "aux.loss_seg": 0.22727, "aux.acc_seg": 62.62895, "loss": 0.52364, "time": 0.39469} +{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30131, "decode.acc_seg": 70.30426, "aux.loss_seg": 0.21897, "aux.acc_seg": 63.78437, "loss": 0.52028, "time": 0.39601} +{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.28931, "decode.acc_seg": 71.59533, "aux.loss_seg": 0.20909, "aux.acc_seg": 65.55434, "loss": 0.49841, "time": 0.39627} +{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.3244, "decode.acc_seg": 70.29374, "aux.loss_seg": 0.2355, "aux.acc_seg": 63.29883, "loss": 0.5599, "time": 0.40314} +{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29514, "decode.acc_seg": 70.98264, "aux.loss_seg": 0.2227, "aux.acc_seg": 63.78044, "loss": 0.51783, "time": 0.40125} +{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.31351, "decode.acc_seg": 69.62905, "aux.loss_seg": 0.23476, "aux.acc_seg": 62.79822, "loss": 0.54827, "time": 0.39703} +{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28634, "decode.acc_seg": 71.79059, "aux.loss_seg": 0.21383, "aux.acc_seg": 65.46847, "loss": 0.50017, "time": 0.39575} +{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.32317, "decode.acc_seg": 70.96197, "aux.loss_seg": 0.23689, "aux.acc_seg": 64.17482, "loss": 0.56006, "time": 0.40141} +{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.29309, "decode.acc_seg": 70.19456, "aux.loss_seg": 0.2164, "aux.acc_seg": 63.5197, "loss": 0.50949, "time": 0.39657} +{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.31903, "decode.acc_seg": 70.77357, "aux.loss_seg": 0.22786, "aux.acc_seg": 64.31881, "loss": 0.54689, "time": 0.39888} +{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 17837, "data_time": 0.23798, "decode.loss_seg": 0.29918, "decode.acc_seg": 71.01628, "aux.loss_seg": 0.22575, "aux.acc_seg": 63.99187, "loss": 0.52493, "time": 0.62429} +{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.27391, "decode.acc_seg": 72.29338, "aux.loss_seg": 0.19831, "aux.acc_seg": 66.39491, "loss": 0.47221, "time": 0.39339} +{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.28529, "decode.acc_seg": 71.47815, "aux.loss_seg": 0.21801, "aux.acc_seg": 64.64665, "loss": 0.50331, "time": 0.39248} +{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.29319, "decode.acc_seg": 70.84515, "aux.loss_seg": 0.22158, "aux.acc_seg": 63.72218, "loss": 0.51477, "time": 0.39301} +{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.29521, "decode.acc_seg": 72.20396, "aux.loss_seg": 0.21519, "aux.acc_seg": 65.97906, "loss": 0.5104, "time": 0.39728} +{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.29445, "decode.acc_seg": 72.37046, "aux.loss_seg": 0.21489, "aux.acc_seg": 66.18336, "loss": 0.50934, "time": 0.40144} +{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.27392, "decode.acc_seg": 71.01329, "aux.loss_seg": 0.20212, "aux.acc_seg": 64.58192, "loss": 0.47603, "time": 0.40451} +{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.30735, "decode.acc_seg": 69.47997, "aux.loss_seg": 0.22297, "aux.acc_seg": 63.07357, "loss": 0.53033, "time": 0.4095} +{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.30527, "decode.acc_seg": 71.51076, "aux.loss_seg": 0.22377, "aux.acc_seg": 64.9061, "loss": 0.52904, "time": 0.40014} +{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.31207, "decode.acc_seg": 71.67651, "aux.loss_seg": 0.2296, "aux.acc_seg": 64.95325, "loss": 0.54167, "time": 0.41132} +{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.30743, "decode.acc_seg": 71.2759, "aux.loss_seg": 0.22651, "aux.acc_seg": 64.60779, "loss": 0.53394, "time": 0.41313} +{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.29844, "decode.acc_seg": 71.08368, "aux.loss_seg": 0.22432, "aux.acc_seg": 63.69499, "loss": 0.52275, "time": 0.41575} +{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.29743, "decode.acc_seg": 71.49974, "aux.loss_seg": 0.2243, "aux.acc_seg": 64.63765, "loss": 0.52172, "time": 0.41392} +{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.30176, "decode.acc_seg": 71.02573, "aux.loss_seg": 0.21933, "aux.acc_seg": 64.82706, "loss": 0.52109, "time": 0.40729} +{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.3135, "decode.acc_seg": 70.6197, "aux.loss_seg": 0.23254, "aux.acc_seg": 63.58092, "loss": 0.54603, "time": 0.39545} +{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.31005, "decode.acc_seg": 71.22333, "aux.loss_seg": 0.22587, "aux.acc_seg": 64.75443, "loss": 0.53592, "time": 0.4023} +{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.30067, "decode.acc_seg": 70.64472, "aux.loss_seg": 0.22522, "aux.acc_seg": 63.68833, "loss": 0.52589, "time": 0.4093} +{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.28846, "decode.acc_seg": 71.79455, "aux.loss_seg": 0.21888, "aux.acc_seg": 64.91919, "loss": 0.50734, "time": 0.39984} +{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.28255, "decode.acc_seg": 69.37436, "aux.loss_seg": 0.21835, "aux.acc_seg": 62.539, "loss": 0.5009, "time": 0.40317} +{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.29778, "decode.acc_seg": 71.16626, "aux.loss_seg": 0.22052, "aux.acc_seg": 64.62779, "loss": 0.5183, "time": 0.40511} +{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.29482, "decode.acc_seg": 69.40781, "aux.loss_seg": 0.21252, "aux.acc_seg": 63.27647, "loss": 0.50734, "time": 0.42151} +{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.30497, "decode.acc_seg": 71.06963, "aux.loss_seg": 0.22037, "aux.acc_seg": 64.48475, "loss": 0.52534, "time": 0.40095} +{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.30626, "decode.acc_seg": 71.04664, "aux.loss_seg": 0.22341, "aux.acc_seg": 64.44561, "loss": 0.52967, "time": 0.39717} +{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.30546, "decode.acc_seg": 70.73565, "aux.loss_seg": 0.22216, "aux.acc_seg": 64.16482, "loss": 0.52762, "time": 0.40961} +{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.28836, "decode.acc_seg": 70.50267, "aux.loss_seg": 0.20986, "aux.acc_seg": 64.06452, "loss": 0.49822, "time": 0.40594} +{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 17837, "data_time": 0.24264, "decode.loss_seg": 0.30597, "decode.acc_seg": 71.21706, "aux.loss_seg": 0.23495, "aux.acc_seg": 63.66419, "loss": 0.54092, "time": 0.64593} +{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.29337, "decode.acc_seg": 71.34172, "aux.loss_seg": 0.22436, "aux.acc_seg": 64.05753, "loss": 0.51773, "time": 0.40537} +{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.29015, "decode.acc_seg": 71.21937, "aux.loss_seg": 0.21836, "aux.acc_seg": 64.62376, "loss": 0.5085, "time": 0.39613} +{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.29314, "decode.acc_seg": 71.70486, "aux.loss_seg": 0.21867, "aux.acc_seg": 65.01878, "loss": 0.51181, "time": 0.39808} +{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.29408, "decode.acc_seg": 70.50461, "aux.loss_seg": 0.22099, "aux.acc_seg": 63.55915, "loss": 0.51507, "time": 0.40407} +{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.31352, "decode.acc_seg": 69.8753, "aux.loss_seg": 0.22505, "aux.acc_seg": 63.19073, "loss": 0.53857, "time": 0.4082} +{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 17837, "data_time": 0.00735, "decode.loss_seg": 0.30929, "decode.acc_seg": 70.70235, "aux.loss_seg": 0.23489, "aux.acc_seg": 63.38232, "loss": 0.54417, "time": 0.40042} +{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.28256, "decode.acc_seg": 71.99682, "aux.loss_seg": 0.20672, "aux.acc_seg": 65.87197, "loss": 0.48928, "time": 0.39676} +{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 17837, "data_time": 0.00702, "decode.loss_seg": 0.30129, "decode.acc_seg": 71.50344, "aux.loss_seg": 0.22236, "aux.acc_seg": 64.93574, "loss": 0.52366, "time": 0.40685} +{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 17837, "data_time": 0.00783, "decode.loss_seg": 0.28949, "decode.acc_seg": 70.60906, "aux.loss_seg": 0.21558, "aux.acc_seg": 64.04378, "loss": 0.50507, "time": 0.39757} +{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.30136, "decode.acc_seg": 70.76854, "aux.loss_seg": 0.21887, "aux.acc_seg": 64.42474, "loss": 0.52023, "time": 0.399} +{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.28677, "decode.acc_seg": 71.83915, "aux.loss_seg": 0.21525, "aux.acc_seg": 65.19159, "loss": 0.50202, "time": 0.39812} +{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.29649, "decode.acc_seg": 72.13067, "aux.loss_seg": 0.22452, "aux.acc_seg": 65.37121, "loss": 0.52101, "time": 0.39661} +{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.28473, "decode.acc_seg": 70.54601, "aux.loss_seg": 0.20883, "aux.acc_seg": 64.48576, "loss": 0.49356, "time": 0.39904} +{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.28321, "decode.acc_seg": 72.56798, "aux.loss_seg": 0.21811, "aux.acc_seg": 65.20624, "loss": 0.50132, "time": 0.40515} +{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29315, "decode.acc_seg": 71.56906, "aux.loss_seg": 0.22586, "aux.acc_seg": 64.32138, "loss": 0.51901, "time": 0.39818} +{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.30585, "decode.acc_seg": 71.82554, "aux.loss_seg": 0.2211, "aux.acc_seg": 65.62422, "loss": 0.52695, "time": 0.41432} +{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.29796, "decode.acc_seg": 70.9229, "aux.loss_seg": 0.22316, "aux.acc_seg": 63.8006, "loss": 0.52113, "time": 0.39893} +{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.2897, "decode.acc_seg": 71.16502, "aux.loss_seg": 0.21704, "aux.acc_seg": 64.35266, "loss": 0.50674, "time": 0.3992} +{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 17837, "data_time": 0.00721, "decode.loss_seg": 0.28267, "decode.acc_seg": 70.95801, "aux.loss_seg": 0.20565, "aux.acc_seg": 64.76104, "loss": 0.48833, "time": 0.40559} +{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.29714, "decode.acc_seg": 70.8179, "aux.loss_seg": 0.21909, "aux.acc_seg": 64.43536, "loss": 0.51623, "time": 0.39547} +{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.29735, "decode.acc_seg": 70.28277, "aux.loss_seg": 0.21429, "aux.acc_seg": 64.03871, "loss": 0.51164, "time": 0.39182} +{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.29516, "decode.acc_seg": 71.19486, "aux.loss_seg": 0.22097, "aux.acc_seg": 64.64345, "loss": 0.51613, "time": 0.39823} +{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.30214, "decode.acc_seg": 70.87484, "aux.loss_seg": 0.22535, "aux.acc_seg": 63.78651, "loss": 0.52749, "time": 0.40814} +{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.30718, "decode.acc_seg": 69.56909, "aux.loss_seg": 0.2267, "aux.acc_seg": 62.44184, "loss": 0.53387, "time": 0.39625} +{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.30088, "decode.acc_seg": 71.74381, "aux.loss_seg": 0.21356, "aux.acc_seg": 65.61751, "loss": 0.51444, "time": 0.40058} +{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 17837, "data_time": 0.24451, "decode.loss_seg": 0.29434, "decode.acc_seg": 71.74954, "aux.loss_seg": 0.21665, "aux.acc_seg": 65.04559, "loss": 0.51099, "time": 0.63268} +{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.29806, "decode.acc_seg": 72.12089, "aux.loss_seg": 0.21879, "aux.acc_seg": 65.49725, "loss": 0.51685, "time": 0.39757} +{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.28588, "decode.acc_seg": 73.06517, "aux.loss_seg": 0.22084, "aux.acc_seg": 65.64141, "loss": 0.50672, "time": 0.40592} +{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.29739, "decode.acc_seg": 71.0802, "aux.loss_seg": 0.22038, "aux.acc_seg": 64.52993, "loss": 0.51777, "time": 0.395} +{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3029, "decode.acc_seg": 71.38089, "aux.loss_seg": 0.21788, "aux.acc_seg": 64.97378, "loss": 0.52078, "time": 0.39865} +{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.27492, "decode.acc_seg": 70.24709, "aux.loss_seg": 0.20577, "aux.acc_seg": 63.77757, "loss": 0.48069, "time": 0.3991} +{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.3044, "decode.acc_seg": 71.17737, "aux.loss_seg": 0.22997, "aux.acc_seg": 64.27127, "loss": 0.53437, "time": 0.41602} +{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.28986, "decode.acc_seg": 72.9477, "aux.loss_seg": 0.2203, "aux.acc_seg": 66.31508, "loss": 0.51015, "time": 0.40377} +{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.29151, "decode.acc_seg": 71.49393, "aux.loss_seg": 0.21668, "aux.acc_seg": 65.16405, "loss": 0.50819, "time": 0.41687} +{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27716, "decode.acc_seg": 71.8761, "aux.loss_seg": 0.21847, "aux.acc_seg": 64.84473, "loss": 0.49563, "time": 0.39739} +{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.29191, "decode.acc_seg": 70.41434, "aux.loss_seg": 0.22917, "aux.acc_seg": 63.35141, "loss": 0.52108, "time": 0.41958} +{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.29882, "decode.acc_seg": 71.55706, "aux.loss_seg": 0.22094, "aux.acc_seg": 64.79835, "loss": 0.51976, "time": 0.40781} +{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.29933, "decode.acc_seg": 70.96882, "aux.loss_seg": 0.21531, "aux.acc_seg": 65.14054, "loss": 0.51464, "time": 0.40056} +{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.30332, "decode.acc_seg": 71.10155, "aux.loss_seg": 0.22515, "aux.acc_seg": 64.08416, "loss": 0.52846, "time": 0.40215} +{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.29362, "decode.acc_seg": 70.79181, "aux.loss_seg": 0.21962, "aux.acc_seg": 64.43134, "loss": 0.51323, "time": 0.39975} +{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.29419, "decode.acc_seg": 71.00109, "aux.loss_seg": 0.21738, "aux.acc_seg": 64.53819, "loss": 0.51157, "time": 0.41337} +{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.29271, "decode.acc_seg": 70.60381, "aux.loss_seg": 0.21505, "aux.acc_seg": 64.03814, "loss": 0.50776, "time": 0.40981} +{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.291, "decode.acc_seg": 70.48997, "aux.loss_seg": 0.22792, "aux.acc_seg": 62.79341, "loss": 0.51892, "time": 0.4107} +{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.28782, "decode.acc_seg": 70.90262, "aux.loss_seg": 0.2139, "aux.acc_seg": 64.61953, "loss": 0.50172, "time": 0.40457} +{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3063, "decode.acc_seg": 70.08265, "aux.loss_seg": 0.22528, "aux.acc_seg": 63.2217, "loss": 0.53157, "time": 0.39744} +{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.29235, "decode.acc_seg": 71.99984, "aux.loss_seg": 0.21034, "aux.acc_seg": 65.81507, "loss": 0.50269, "time": 0.39318} +{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.30348, "decode.acc_seg": 71.6276, "aux.loss_seg": 0.22175, "aux.acc_seg": 64.88886, "loss": 0.52523, "time": 0.3929} +{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.28802, "decode.acc_seg": 70.88024, "aux.loss_seg": 0.21001, "aux.acc_seg": 64.70261, "loss": 0.49804, "time": 0.39206} +{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.293, "decode.acc_seg": 71.29683, "aux.loss_seg": 0.22803, "aux.acc_seg": 63.96917, "loss": 0.52103, "time": 0.40201} +{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.29879, "decode.acc_seg": 72.18059, "aux.loss_seg": 0.21992, "aux.acc_seg": 65.71743, "loss": 0.51871, "time": 0.4006} +{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 17837, "data_time": 0.24202, "decode.loss_seg": 0.28712, "decode.acc_seg": 71.8731, "aux.loss_seg": 0.20833, "aux.acc_seg": 65.93319, "loss": 0.49545, "time": 0.64696} +{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.28834, "decode.acc_seg": 71.15451, "aux.loss_seg": 0.20801, "aux.acc_seg": 64.86681, "loss": 0.49635, "time": 0.39738} +{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.27915, "decode.acc_seg": 71.00746, "aux.loss_seg": 0.21847, "aux.acc_seg": 64.17579, "loss": 0.49762, "time": 0.41733} +{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.30304, "decode.acc_seg": 71.60537, "aux.loss_seg": 0.22324, "aux.acc_seg": 64.86114, "loss": 0.52628, "time": 0.41512} +{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.28433, "decode.acc_seg": 71.27693, "aux.loss_seg": 0.21931, "aux.acc_seg": 64.2659, "loss": 0.50364, "time": 0.39659} +{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.28785, "decode.acc_seg": 71.7732, "aux.loss_seg": 0.21567, "aux.acc_seg": 65.10741, "loss": 0.50352, "time": 0.39647} +{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.29506, "decode.acc_seg": 71.90052, "aux.loss_seg": 0.22051, "aux.acc_seg": 65.46137, "loss": 0.51557, "time": 0.39495} +{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.3117, "decode.acc_seg": 70.94442, "aux.loss_seg": 0.23599, "aux.acc_seg": 63.55672, "loss": 0.54769, "time": 0.3958} +{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.29774, "decode.acc_seg": 71.67074, "aux.loss_seg": 0.22146, "aux.acc_seg": 64.81603, "loss": 0.5192, "time": 0.40748} +{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.28268, "decode.acc_seg": 71.31621, "aux.loss_seg": 0.21083, "aux.acc_seg": 64.76977, "loss": 0.49352, "time": 0.39637} +{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29683, "decode.acc_seg": 73.05684, "aux.loss_seg": 0.22559, "aux.acc_seg": 65.88525, "loss": 0.52242, "time": 0.39488} +{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.29922, "decode.acc_seg": 70.9058, "aux.loss_seg": 0.21899, "aux.acc_seg": 64.5076, "loss": 0.5182, "time": 0.39575} +{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.31002, "decode.acc_seg": 70.2763, "aux.loss_seg": 0.22735, "aux.acc_seg": 63.39054, "loss": 0.53737, "time": 0.39666} +{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.30106, "decode.acc_seg": 71.39588, "aux.loss_seg": 0.22168, "aux.acc_seg": 64.56027, "loss": 0.52274, "time": 0.41638} +{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.29857, "decode.acc_seg": 71.578, "aux.loss_seg": 0.2161, "aux.acc_seg": 65.17504, "loss": 0.51467, "time": 0.402} +{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.2872, "decode.acc_seg": 70.80195, "aux.loss_seg": 0.21403, "aux.acc_seg": 64.14334, "loss": 0.50123, "time": 0.3964} +{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29259, "decode.acc_seg": 71.51929, "aux.loss_seg": 0.22379, "aux.acc_seg": 64.64901, "loss": 0.51638, "time": 0.39674} +{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.29193, "decode.acc_seg": 71.66587, "aux.loss_seg": 0.21895, "aux.acc_seg": 64.96089, "loss": 0.51089, "time": 0.40118} +{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.29494, "decode.acc_seg": 71.04263, "aux.loss_seg": 0.21202, "aux.acc_seg": 64.81718, "loss": 0.50697, "time": 0.39457} +{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3006, "decode.acc_seg": 72.77841, "aux.loss_seg": 0.22222, "aux.acc_seg": 66.40925, "loss": 0.52283, "time": 0.40051} +{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.29059, "decode.acc_seg": 71.33392, "aux.loss_seg": 0.21542, "aux.acc_seg": 64.79493, "loss": 0.506, "time": 0.39918} +{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.30868, "decode.acc_seg": 71.10277, "aux.loss_seg": 0.21692, "aux.acc_seg": 64.97829, "loss": 0.5256, "time": 0.41097} +{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.28141, "decode.acc_seg": 72.07704, "aux.loss_seg": 0.21639, "aux.acc_seg": 65.19475, "loss": 0.4978, "time": 0.39896} +{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.29375, "decode.acc_seg": 70.80055, "aux.loss_seg": 0.21891, "aux.acc_seg": 63.94992, "loss": 0.51266, "time": 0.39859} +{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.28399, "decode.acc_seg": 70.67972, "aux.loss_seg": 0.21599, "aux.acc_seg": 64.23467, "loss": 0.49999, "time": 0.39305} +{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 17837, "data_time": 0.2393, "decode.loss_seg": 0.29714, "decode.acc_seg": 71.41742, "aux.loss_seg": 0.22201, "aux.acc_seg": 64.56872, "loss": 0.51915, "time": 0.62933} +{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.27541, "decode.acc_seg": 71.05086, "aux.loss_seg": 0.21305, "aux.acc_seg": 64.39392, "loss": 0.48846, "time": 0.3926} +{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.28516, "decode.acc_seg": 72.11628, "aux.loss_seg": 0.21941, "aux.acc_seg": 64.85802, "loss": 0.50458, "time": 0.39333} +{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.29246, "decode.acc_seg": 71.33793, "aux.loss_seg": 0.21624, "aux.acc_seg": 64.82224, "loss": 0.50869, "time": 0.39933} +{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.28125, "decode.acc_seg": 70.4984, "aux.loss_seg": 0.21067, "aux.acc_seg": 64.24144, "loss": 0.49192, "time": 0.41923} +{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.29101, "decode.acc_seg": 70.08028, "aux.loss_seg": 0.21885, "aux.acc_seg": 63.27966, "loss": 0.50986, "time": 0.40047} +{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28224, "decode.acc_seg": 70.36294, "aux.loss_seg": 0.21254, "aux.acc_seg": 63.70722, "loss": 0.49479, "time": 0.41241} +{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.28058, "decode.acc_seg": 71.65694, "aux.loss_seg": 0.20882, "aux.acc_seg": 65.17277, "loss": 0.4894, "time": 0.39991} +{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.28414, "decode.acc_seg": 71.285, "aux.loss_seg": 0.20961, "aux.acc_seg": 65.21964, "loss": 0.49375, "time": 0.39517} +{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.30103, "decode.acc_seg": 72.26379, "aux.loss_seg": 0.22163, "aux.acc_seg": 65.52731, "loss": 0.52266, "time": 0.41343} +{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.30211, "decode.acc_seg": 71.67306, "aux.loss_seg": 0.2246, "aux.acc_seg": 64.71819, "loss": 0.52671, "time": 0.39658} +{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29645, "decode.acc_seg": 70.33699, "aux.loss_seg": 0.22308, "aux.acc_seg": 63.35075, "loss": 0.51953, "time": 0.39448} +{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.29864, "decode.acc_seg": 71.65281, "aux.loss_seg": 0.21536, "aux.acc_seg": 65.32037, "loss": 0.514, "time": 0.40567} +{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.2945, "decode.acc_seg": 72.03047, "aux.loss_seg": 0.21821, "aux.acc_seg": 65.38534, "loss": 0.51271, "time": 0.39563} +{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.28975, "decode.acc_seg": 72.00754, "aux.loss_seg": 0.21448, "aux.acc_seg": 65.64631, "loss": 0.50423, "time": 0.39707} +{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.28827, "decode.acc_seg": 70.92963, "aux.loss_seg": 0.21622, "aux.acc_seg": 64.69138, "loss": 0.50449, "time": 0.40965} +{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.29096, "decode.acc_seg": 71.27423, "aux.loss_seg": 0.22558, "aux.acc_seg": 63.97297, "loss": 0.51654, "time": 0.40652} +{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.29459, "decode.acc_seg": 69.4523, "aux.loss_seg": 0.21279, "aux.acc_seg": 63.1269, "loss": 0.50738, "time": 0.41128} +{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.29511, "decode.acc_seg": 71.29365, "aux.loss_seg": 0.22571, "aux.acc_seg": 64.33073, "loss": 0.52082, "time": 0.39709} +{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.28232, "decode.acc_seg": 72.44294, "aux.loss_seg": 0.21629, "aux.acc_seg": 65.47976, "loss": 0.49861, "time": 0.39058} +{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29246, "decode.acc_seg": 71.31717, "aux.loss_seg": 0.22796, "aux.acc_seg": 63.86606, "loss": 0.52042, "time": 0.39185} +{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27882, "decode.acc_seg": 71.23312, "aux.loss_seg": 0.21587, "aux.acc_seg": 64.03681, "loss": 0.49469, "time": 0.39508} +{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29655, "decode.acc_seg": 71.44181, "aux.loss_seg": 0.22361, "aux.acc_seg": 64.39864, "loss": 0.52015, "time": 0.39421} +{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.29164, "decode.acc_seg": 72.52516, "aux.loss_seg": 0.21542, "aux.acc_seg": 66.20982, "loss": 0.50706, "time": 0.40264} +{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.28069, "decode.acc_seg": 72.01461, "aux.loss_seg": 0.21719, "aux.acc_seg": 65.01746, "loss": 0.49788, "time": 0.39331} +{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 17837, "data_time": 0.24544, "decode.loss_seg": 0.28233, "decode.acc_seg": 72.07164, "aux.loss_seg": 0.21471, "aux.acc_seg": 65.24748, "loss": 0.49704, "time": 0.6399} +{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.28525, "decode.acc_seg": 71.8772, "aux.loss_seg": 0.2145, "aux.acc_seg": 65.10002, "loss": 0.49974, "time": 0.40581} +{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.28808, "decode.acc_seg": 71.67118, "aux.loss_seg": 0.21139, "aux.acc_seg": 65.37724, "loss": 0.49946, "time": 0.41497} +{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.29584, "decode.acc_seg": 71.44262, "aux.loss_seg": 0.21752, "aux.acc_seg": 65.04111, "loss": 0.51336, "time": 0.41546} +{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.30009, "decode.acc_seg": 71.56401, "aux.loss_seg": 0.21906, "aux.acc_seg": 65.14194, "loss": 0.51915, "time": 0.41001} +{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.28502, "decode.acc_seg": 72.12137, "aux.loss_seg": 0.20451, "aux.acc_seg": 65.6709, "loss": 0.48953, "time": 0.39808} +{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.29256, "decode.acc_seg": 70.66167, "aux.loss_seg": 0.21902, "aux.acc_seg": 63.82519, "loss": 0.51158, "time": 0.40649} +{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.30001, "decode.acc_seg": 72.08079, "aux.loss_seg": 0.22409, "aux.acc_seg": 65.13447, "loss": 0.5241, "time": 0.39981} +{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.28417, "decode.acc_seg": 72.09309, "aux.loss_seg": 0.21342, "aux.acc_seg": 65.3944, "loss": 0.49758, "time": 0.39662} +{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.28427, "decode.acc_seg": 70.40393, "aux.loss_seg": 0.21631, "aux.acc_seg": 63.31635, "loss": 0.50058, "time": 0.40109} +{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.28952, "decode.acc_seg": 71.18332, "aux.loss_seg": 0.20892, "aux.acc_seg": 65.10046, "loss": 0.49843, "time": 0.39317} +{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.28794, "decode.acc_seg": 71.73021, "aux.loss_seg": 0.22384, "aux.acc_seg": 64.68989, "loss": 0.51178, "time": 0.39562} +{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.28726, "decode.acc_seg": 71.57073, "aux.loss_seg": 0.22469, "aux.acc_seg": 64.48985, "loss": 0.51195, "time": 0.40875} +{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.28821, "decode.acc_seg": 71.55684, "aux.loss_seg": 0.21482, "aux.acc_seg": 64.75624, "loss": 0.50303, "time": 0.39785} +{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.29081, "decode.acc_seg": 72.57768, "aux.loss_seg": 0.21594, "aux.acc_seg": 65.96954, "loss": 0.50675, "time": 0.40972} +{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.28788, "decode.acc_seg": 71.00417, "aux.loss_seg": 0.2166, "aux.acc_seg": 64.32851, "loss": 0.50448, "time": 0.40866} +{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28327, "decode.acc_seg": 71.53911, "aux.loss_seg": 0.20474, "aux.acc_seg": 65.55895, "loss": 0.488, "time": 0.39925} +{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.2892, "decode.acc_seg": 70.22805, "aux.loss_seg": 0.21786, "aux.acc_seg": 63.55094, "loss": 0.50707, "time": 0.39573} +{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.28029, "decode.acc_seg": 71.35553, "aux.loss_seg": 0.21624, "aux.acc_seg": 64.55477, "loss": 0.49654, "time": 0.39687} +{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.27796, "decode.acc_seg": 71.75336, "aux.loss_seg": 0.21993, "aux.acc_seg": 64.65753, "loss": 0.49789, "time": 0.41009} +{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.29789, "decode.acc_seg": 71.35314, "aux.loss_seg": 0.22465, "aux.acc_seg": 64.48032, "loss": 0.52254, "time": 0.39627} +{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.30371, "decode.acc_seg": 69.86872, "aux.loss_seg": 0.21958, "aux.acc_seg": 63.70231, "loss": 0.52329, "time": 0.41375} +{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.30056, "decode.acc_seg": 71.39279, "aux.loss_seg": 0.22366, "aux.acc_seg": 64.98216, "loss": 0.52422, "time": 0.39528} +{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29105, "decode.acc_seg": 70.77209, "aux.loss_seg": 0.21562, "aux.acc_seg": 64.13847, "loss": 0.50668, "time": 0.41635} +{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.28281, "decode.acc_seg": 69.8418, "aux.loss_seg": 0.21665, "aux.acc_seg": 63.15772, "loss": 0.49946, "time": 0.41335} +{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.28073, "decode.acc_seg": 71.82161, "aux.loss_seg": 0.21352, "aux.acc_seg": 65.04879, "loss": 0.49424, "time": 0.40365} +{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 17837, "data_time": 0.24326, "decode.loss_seg": 0.29367, "decode.acc_seg": 74.0836, "aux.loss_seg": 0.22009, "aux.acc_seg": 67.30218, "loss": 0.51376, "time": 0.64088} +{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.29049, "decode.acc_seg": 71.34781, "aux.loss_seg": 0.22301, "aux.acc_seg": 64.31558, "loss": 0.5135, "time": 0.40049} +{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27821, "decode.acc_seg": 71.99565, "aux.loss_seg": 0.20868, "aux.acc_seg": 65.44295, "loss": 0.48689, "time": 0.40811} +{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.27719, "decode.acc_seg": 70.78845, "aux.loss_seg": 0.21, "aux.acc_seg": 64.11034, "loss": 0.48719, "time": 0.4094} +{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.2782, "decode.acc_seg": 71.89536, "aux.loss_seg": 0.2057, "aux.acc_seg": 65.59456, "loss": 0.4839, "time": 0.39598} +{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.28522, "decode.acc_seg": 69.89908, "aux.loss_seg": 0.21181, "aux.acc_seg": 63.09288, "loss": 0.49704, "time": 0.40721} +{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.28919, "decode.acc_seg": 71.22304, "aux.loss_seg": 0.21868, "aux.acc_seg": 64.65797, "loss": 0.50787, "time": 0.40307} +{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.27942, "decode.acc_seg": 72.92466, "aux.loss_seg": 0.20738, "aux.acc_seg": 66.58109, "loss": 0.48679, "time": 0.39344} +{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.28137, "decode.acc_seg": 71.63401, "aux.loss_seg": 0.21291, "aux.acc_seg": 65.07788, "loss": 0.49428, "time": 0.40698} +{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.28436, "decode.acc_seg": 72.35347, "aux.loss_seg": 0.21557, "aux.acc_seg": 65.87009, "loss": 0.49993, "time": 0.41309} +{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.27775, "decode.acc_seg": 73.03197, "aux.loss_seg": 0.2105, "aux.acc_seg": 66.46222, "loss": 0.48825, "time": 0.39065} +{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28879, "decode.acc_seg": 71.72457, "aux.loss_seg": 0.22164, "aux.acc_seg": 64.83211, "loss": 0.51042, "time": 0.39156} +{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.26839, "decode.acc_seg": 71.47752, "aux.loss_seg": 0.20084, "aux.acc_seg": 65.45096, "loss": 0.46924, "time": 0.39741} +{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.2894, "decode.acc_seg": 70.68655, "aux.loss_seg": 0.2253, "aux.acc_seg": 63.54701, "loss": 0.5147, "time": 0.39748} +{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.29702, "decode.acc_seg": 71.22696, "aux.loss_seg": 0.22024, "aux.acc_seg": 64.25507, "loss": 0.51726, "time": 0.40188} +{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.28074, "decode.acc_seg": 72.16281, "aux.loss_seg": 0.20636, "aux.acc_seg": 65.84788, "loss": 0.48711, "time": 0.41746} +{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.28479, "decode.acc_seg": 71.40062, "aux.loss_seg": 0.21497, "aux.acc_seg": 64.76146, "loss": 0.49975, "time": 0.39782} +{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 17837, "data_time": 0.00689, "decode.loss_seg": 0.2928, "decode.acc_seg": 72.86008, "aux.loss_seg": 0.22368, "aux.acc_seg": 65.50127, "loss": 0.51647, "time": 0.39537} +{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.27708, "decode.acc_seg": 71.89327, "aux.loss_seg": 0.20543, "aux.acc_seg": 65.90395, "loss": 0.48251, "time": 0.40856} +{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.29277, "decode.acc_seg": 71.70108, "aux.loss_seg": 0.2172, "aux.acc_seg": 65.23701, "loss": 0.50997, "time": 0.39652} +{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.28633, "decode.acc_seg": 70.19227, "aux.loss_seg": 0.2164, "aux.acc_seg": 63.46361, "loss": 0.50273, "time": 0.39497} +{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28973, "decode.acc_seg": 71.39311, "aux.loss_seg": 0.2156, "aux.acc_seg": 64.74108, "loss": 0.50533, "time": 0.40438} +{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.28936, "decode.acc_seg": 70.08092, "aux.loss_seg": 0.21424, "aux.acc_seg": 63.45846, "loss": 0.50361, "time": 0.40513} +{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.29894, "decode.acc_seg": 72.38832, "aux.loss_seg": 0.22666, "aux.acc_seg": 64.99404, "loss": 0.5256, "time": 0.39361} +{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.27675, "decode.acc_seg": 71.28508, "aux.loss_seg": 0.20955, "aux.acc_seg": 64.30173, "loss": 0.48631, "time": 0.39498} +{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 17837, "data_time": 0.24106, "decode.loss_seg": 0.2733, "decode.acc_seg": 71.41888, "aux.loss_seg": 0.21253, "aux.acc_seg": 64.52492, "loss": 0.48583, "time": 0.62369} +{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.27872, "decode.acc_seg": 70.54245, "aux.loss_seg": 0.21555, "aux.acc_seg": 63.62811, "loss": 0.49427, "time": 0.41298} +{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 17837, "data_time": 0.00662, "decode.loss_seg": 0.28469, "decode.acc_seg": 72.44748, "aux.loss_seg": 0.21244, "aux.acc_seg": 65.68268, "loss": 0.49713, "time": 0.40781} +{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.29516, "decode.acc_seg": 71.02203, "aux.loss_seg": 0.22045, "aux.acc_seg": 64.09007, "loss": 0.51561, "time": 0.41334} +{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.27838, "decode.acc_seg": 71.18519, "aux.loss_seg": 0.21732, "aux.acc_seg": 64.29477, "loss": 0.49569, "time": 0.39769} +{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.29482, "decode.acc_seg": 70.37761, "aux.loss_seg": 0.21782, "aux.acc_seg": 63.579, "loss": 0.51264, "time": 0.39735} +{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.27931, "decode.acc_seg": 71.66167, "aux.loss_seg": 0.20403, "aux.acc_seg": 65.83858, "loss": 0.48334, "time": 0.39624} +{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27802, "decode.acc_seg": 71.00703, "aux.loss_seg": 0.21249, "aux.acc_seg": 64.18382, "loss": 0.49052, "time": 0.39508} +{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27869, "decode.acc_seg": 71.79104, "aux.loss_seg": 0.2119, "aux.acc_seg": 65.11211, "loss": 0.49059, "time": 0.39384} +{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.29471, "decode.acc_seg": 72.35152, "aux.loss_seg": 0.21815, "aux.acc_seg": 65.66401, "loss": 0.51286, "time": 0.39499} +{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29129, "decode.acc_seg": 70.86156, "aux.loss_seg": 0.21917, "aux.acc_seg": 64.44415, "loss": 0.51046, "time": 0.41566} +{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.28765, "decode.acc_seg": 71.85724, "aux.loss_seg": 0.21085, "aux.acc_seg": 65.78415, "loss": 0.4985, "time": 0.41002} +{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.27221, "decode.acc_seg": 70.61898, "aux.loss_seg": 0.20254, "aux.acc_seg": 64.27873, "loss": 0.47476, "time": 0.40289} +{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.27971, "decode.acc_seg": 72.04634, "aux.loss_seg": 0.20813, "aux.acc_seg": 65.76906, "loss": 0.48785, "time": 0.40756} +{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.27574, "decode.acc_seg": 72.41826, "aux.loss_seg": 0.21011, "aux.acc_seg": 65.91889, "loss": 0.48586, "time": 0.39341} +{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.26239, "decode.acc_seg": 71.94465, "aux.loss_seg": 0.20712, "aux.acc_seg": 65.27706, "loss": 0.46951, "time": 0.39993} +{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.29948, "decode.acc_seg": 70.42223, "aux.loss_seg": 0.21886, "aux.acc_seg": 63.9656, "loss": 0.51834, "time": 0.3934} +{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.27764, "decode.acc_seg": 70.78192, "aux.loss_seg": 0.21949, "aux.acc_seg": 63.80946, "loss": 0.49713, "time": 0.39778} +{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.2939, "decode.acc_seg": 71.05517, "aux.loss_seg": 0.224, "aux.acc_seg": 64.20177, "loss": 0.5179, "time": 0.39669} +{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.30037, "decode.acc_seg": 71.60263, "aux.loss_seg": 0.21995, "aux.acc_seg": 65.26373, "loss": 0.52032, "time": 0.40444} +{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.29129, "decode.acc_seg": 70.94098, "aux.loss_seg": 0.21588, "aux.acc_seg": 64.27568, "loss": 0.50717, "time": 0.39673} +{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.27745, "decode.acc_seg": 71.01056, "aux.loss_seg": 0.20397, "aux.acc_seg": 64.98502, "loss": 0.48142, "time": 0.40436} +{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.30675, "decode.acc_seg": 71.29927, "aux.loss_seg": 0.22712, "aux.acc_seg": 64.27546, "loss": 0.53386, "time": 0.39715} +{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.29719, "decode.acc_seg": 71.55775, "aux.loss_seg": 0.2137, "aux.acc_seg": 65.12813, "loss": 0.51089, "time": 0.41066} +{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.28526, "decode.acc_seg": 72.94375, "aux.loss_seg": 0.21068, "aux.acc_seg": 66.47843, "loss": 0.49594, "time": 0.40074} +{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4463, "mAcc": 0.5712, "aAcc": 0.809, "IoU.wall": 0.747, "IoU.building": 0.8018, "IoU.sky": 0.9382, "IoU.floor": 0.7905, "IoU.tree": 0.7321, "IoU.ceiling": 0.8169, "IoU.road": 0.8076, "IoU.bed ": 0.8447, "IoU.windowpane": 0.5929, "IoU.grass": 0.6509, "IoU.cabinet": 0.5712, "IoU.sidewalk": 0.6036, "IoU.person": 0.7525, "IoU.earth": 0.3566, "IoU.door": 0.4028, "IoU.table": 0.511, "IoU.mountain": 0.5353, "IoU.plant": 0.4993, "IoU.curtain": 0.6774, "IoU.chair": 0.5089, "IoU.car": 0.8148, "IoU.water": 0.4833, "IoU.painting": 0.6887, "IoU.sofa": 0.5513, "IoU.shelf": 0.3761, "IoU.house": 0.4739, "IoU.sea": 0.4991, "IoU.mirror": 0.5863, "IoU.rug": 0.5775, "IoU.field": 0.2742, "IoU.armchair": 0.3449, "IoU.seat": 0.5954, "IoU.fence": 0.433, "IoU.desk": 0.4364, "IoU.rock": 0.4684, "IoU.wardrobe": 0.3958, "IoU.lamp": 0.5486, "IoU.bathtub": 0.727, "IoU.railing": 0.3355, "IoU.cushion": 0.5148, "IoU.base": 0.3026, "IoU.box": 0.2407, "IoU.column": 0.4085, "IoU.signboard": 0.3191, "IoU.chest of drawers": 0.3885, "IoU.counter": 0.279, "IoU.sand": 0.3978, "IoU.sink": 0.6574, "IoU.skyscraper": 0.5664, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6875, "IoU.grandstand": 0.5007, "IoU.path": 0.1204, "IoU.stairs": 0.2718, "IoU.runway": 0.7215, "IoU.case": 0.4758, "IoU.pool table": 0.8884, "IoU.pillow": 0.5121, "IoU.screen door": 0.5718, "IoU.stairway": 0.2862, "IoU.river": 0.1442, "IoU.bridge": 0.403, "IoU.bookcase": 0.4092, "IoU.blind": NaN, "IoU.coffee table": 0.4863, "IoU.toilet": 0.7957, "IoU.flower": 0.3867, "IoU.book": 0.4458, "IoU.hill": 0.123, "IoU.bench": 0.3759, "IoU.countertop": 0.5092, "IoU.stove": 0.6291, "IoU.palm": 0.4879, "IoU.kitchen island": 0.2977, "IoU.computer": 0.6091, "IoU.swivel chair": 0.4345, "IoU.boat": 0.4146, "IoU.bar": 0.3443, "IoU.arcade machine": 0.6346, "IoU.hovel": 0.4001, "IoU.bus": 0.7623, "IoU.towel": 0.6281, "IoU.light": 0.5209, "IoU.truck": 0.147, "IoU.tower": 0.2584, "IoU.chandelier": 0.6128, "IoU.awning": 0.2412, "IoU.streetlight": 0.1872, "IoU.booth": 0.6134, "IoU.television receiver": NaN, "IoU.airplane": 0.531, "IoU.dirt track": 0.0698, "IoU.apparel": 0.2798, "IoU.pole": 0.0981, "IoU.land": 0.0179, "IoU.bannister": 0.026, "IoU.escalator": 0.3385, "IoU.ottoman": 0.3664, "IoU.bottle": NaN, "IoU.buffet": 0.5477, "IoU.poster": 0.1831, "IoU.stage": 0.1593, "IoU.van": 0.3955, "IoU.ship": 0.5686, "IoU.fountain": 0.1222, "IoU.conveyer belt": 0.711, "IoU.canopy": 0.3151, "IoU.washer": 0.6631, "IoU.plaything": 0.1584, "IoU.swimming pool": 0.6243, "IoU.stool": 0.3487, "IoU.barrel": 0.5104, "IoU.basket": 0.2294, "IoU.waterfall": 0.5875, "IoU.tent": 0.8951, "IoU.bag": 0.0877, "IoU.minibike": 0.6913, "IoU.cradle": NaN, "IoU.oven": 0.3246, "IoU.ball": 0.3616, "IoU.food": 0.3491, "IoU.step": 0.0767, "IoU.tank": 0.5431, "IoU.trade name": 0.2671, "IoU.microwave": 0.7231, "IoU.pot": 0.4426, "IoU.animal": NaN, "IoU.bicycle": 0.4931, "IoU.lake": 0.0443, "IoU.dishwasher": 0.526, "IoU.screen": 0.6644, "IoU.blanket": 0.1141, "IoU.sculpture": 0.6152, "IoU.hood": 0.5482, "IoU.sconce": 0.4008, "IoU.vase": 0.3011, "IoU.traffic light": 0.2131, "IoU.tray": 0.0635, "IoU.ashcan": 0.2972, "IoU.fan": 0.5285, "IoU.pier": 0.3392, "IoU.crt screen": 0.047, "IoU.plate": 0.522, "IoU.monitor": 0.0836, "IoU.bulletin board": 0.3172, "IoU.shower": 0.0007, "IoU.radiator": 0.5518, "IoU.glass": 0.1115, "IoU.clock": 0.2685, "IoU.flag": 0.4369, "Acc.wall": 0.8713, "Acc.building": 0.9067, "Acc.sky": 0.9723, "Acc.floor": 0.9022, "Acc.tree": 0.8764, "Acc.ceiling": 0.9159, "Acc.road": 0.9009, "Acc.bed ": 0.9386, "Acc.windowpane": 0.7565, "Acc.grass": 0.8129, "Acc.cabinet": 0.6842, "Acc.sidewalk": 0.7269, "Acc.person": 0.8943, "Acc.earth": 0.4731, "Acc.door": 0.5095, "Acc.table": 0.6612, "Acc.mountain": 0.638, "Acc.plant": 0.6031, "Acc.curtain": 0.833, "Acc.chair": 0.6728, "Acc.car": 0.9073, "Acc.water": 0.6538, "Acc.painting": 0.8571, "Acc.sofa": 0.7347, "Acc.shelf": 0.594, "Acc.house": 0.6802, "Acc.sea": 0.711, "Acc.mirror": 0.695, "Acc.rug": 0.6128, "Acc.field": 0.4583, "Acc.armchair": 0.5205, "Acc.seat": 0.7876, "Acc.fence": 0.6285, "Acc.desk": 0.6968, "Acc.rock": 0.6354, "Acc.wardrobe": 0.5549, "Acc.lamp": 0.7104, "Acc.bathtub": 0.7824, "Acc.railing": 0.4949, "Acc.cushion": 0.6873, "Acc.base": 0.4085, "Acc.box": 0.3233, "Acc.column": 0.4954, "Acc.signboard": 0.4554, "Acc.chest of drawers": 0.5376, "Acc.counter": 0.3357, "Acc.sand": 0.5752, "Acc.sink": 0.7497, "Acc.skyscraper": 0.7443, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8294, "Acc.grandstand": 0.7185, "Acc.path": 0.1671, "Acc.stairs": 0.3331, "Acc.runway": 0.9441, "Acc.case": 0.605, "Acc.pool table": 0.9651, "Acc.pillow": 0.6228, "Acc.screen door": 0.7876, "Acc.stairway": 0.401, "Acc.river": 0.2788, "Acc.bridge": 0.4905, "Acc.bookcase": 0.5184, "Acc.blind": NaN, "Acc.coffee table": 0.8041, "Acc.toilet": 0.8866, "Acc.flower": 0.5013, "Acc.book": 0.6786, "Acc.hill": 0.2058, "Acc.bench": 0.4852, "Acc.countertop": 0.613, "Acc.stove": 0.7168, "Acc.palm": 0.7242, "Acc.kitchen island": 0.6918, "Acc.computer": 0.7408, "Acc.swivel chair": 0.5863, "Acc.boat": 0.4796, "Acc.bar": 0.4264, "Acc.arcade machine": 0.6844, "Acc.hovel": 0.4525, "Acc.bus": 0.9366, "Acc.towel": 0.7757, "Acc.light": 0.6189, "Acc.truck": 0.2028, "Acc.tower": 0.4306, "Acc.chandelier": 0.8077, "Acc.awning": 0.291, "Acc.streetlight": 0.2791, "Acc.booth": 0.7473, "Acc.television receiver": NaN, "Acc.airplane": 0.599, "Acc.dirt track": 0.4395, "Acc.apparel": 0.4498, "Acc.pole": 0.1222, "Acc.land": 0.0235, "Acc.bannister": 0.0314, "Acc.escalator": 0.4823, "Acc.ottoman": 0.5613, "Acc.bottle": NaN, "Acc.buffet": 0.6543, "Acc.poster": 0.2645, "Acc.stage": 0.2332, "Acc.van": 0.5298, "Acc.ship": 0.8928, "Acc.fountain": 0.1233, "Acc.conveyer belt": 0.8938, "Acc.canopy": 0.4638, "Acc.washer": 0.6971, "Acc.plaything": 0.274, "Acc.swimming pool": 0.8314, "Acc.stool": 0.4735, "Acc.barrel": 0.6448, "Acc.basket": 0.294, "Acc.waterfall": 0.6578, "Acc.tent": 0.9875, "Acc.bag": 0.1164, "Acc.minibike": 0.8615, "Acc.cradle": NaN, "Acc.oven": 0.5739, "Acc.ball": 0.3803, "Acc.food": 0.3793, "Acc.step": 0.0879, "Acc.tank": 0.6325, "Acc.trade name": 0.3319, "Acc.microwave": 0.8224, "Acc.pot": 0.5266, "Acc.animal": NaN, "Acc.bicycle": 0.7385, "Acc.lake": 0.0474, "Acc.dishwasher": 0.7365, "Acc.screen": 0.8668, "Acc.blanket": 0.132, "Acc.sculpture": 0.7474, "Acc.hood": 0.6549, "Acc.sconce": 0.4904, "Acc.vase": 0.4362, "Acc.traffic light": 0.3196, "Acc.tray": 0.09, "Acc.ashcan": 0.428, "Acc.fan": 0.7158, "Acc.pier": 0.52, "Acc.crt screen": 0.1225, "Acc.plate": 0.6587, "Acc.monitor": 0.0966, "Acc.bulletin board": 0.4491, "Acc.shower": 0.0007, "Acc.radiator": 0.6483, "Acc.glass": 0.1227, "Acc.clock": 0.3446, "Acc.flag": 0.5416} +{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 17837, "data_time": 1.48012, "decode.loss_seg": 0.27128, "decode.acc_seg": 72.54505, "aux.loss_seg": 0.20814, "aux.acc_seg": 65.73124, "loss": 0.47942, "time": 1.88685} +{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.28647, "decode.acc_seg": 69.35708, "aux.loss_seg": 0.21077, "aux.acc_seg": 63.2095, "loss": 0.49724, "time": 0.41364} +{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.28841, "decode.acc_seg": 71.58073, "aux.loss_seg": 0.21823, "aux.acc_seg": 65.09064, "loss": 0.50664, "time": 0.39474} +{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.3053, "decode.acc_seg": 71.17478, "aux.loss_seg": 0.22249, "aux.acc_seg": 64.62582, "loss": 0.52779, "time": 0.40732} +{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 17837, "data_time": 0.00557, "decode.loss_seg": 0.28291, "decode.acc_seg": 72.82597, "aux.loss_seg": 0.21668, "aux.acc_seg": 66.08757, "loss": 0.49959, "time": 0.39518} +{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29564, "decode.acc_seg": 70.21614, "aux.loss_seg": 0.21973, "aux.acc_seg": 63.45185, "loss": 0.51537, "time": 0.39708} +{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.28546, "decode.acc_seg": 71.43201, "aux.loss_seg": 0.21186, "aux.acc_seg": 65.00849, "loss": 0.49732, "time": 0.39311} +{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.2835, "decode.acc_seg": 71.88227, "aux.loss_seg": 0.20688, "aux.acc_seg": 65.73424, "loss": 0.49038, "time": 0.4088} +{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27888, "decode.acc_seg": 72.08287, "aux.loss_seg": 0.21039, "aux.acc_seg": 65.6817, "loss": 0.48927, "time": 0.3935} +{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29639, "decode.acc_seg": 71.88544, "aux.loss_seg": 0.22117, "aux.acc_seg": 65.11663, "loss": 0.51755, "time": 0.41114} +{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.28014, "decode.acc_seg": 72.29051, "aux.loss_seg": 0.21387, "aux.acc_seg": 65.52198, "loss": 0.49402, "time": 0.41182} +{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.27301, "decode.acc_seg": 71.90235, "aux.loss_seg": 0.21688, "aux.acc_seg": 64.89746, "loss": 0.48989, "time": 0.40588} +{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.274, "decode.acc_seg": 72.31387, "aux.loss_seg": 0.213, "aux.acc_seg": 65.25896, "loss": 0.487, "time": 0.41328} +{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2842, "decode.acc_seg": 71.32659, "aux.loss_seg": 0.21056, "aux.acc_seg": 65.30087, "loss": 0.49476, "time": 0.41484} +{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29929, "decode.acc_seg": 71.39144, "aux.loss_seg": 0.21991, "aux.acc_seg": 64.56377, "loss": 0.51919, "time": 0.39194} +{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 17837, "data_time": 0.00545, "decode.loss_seg": 0.2895, "decode.acc_seg": 71.50953, "aux.loss_seg": 0.22022, "aux.acc_seg": 64.64481, "loss": 0.50972, "time": 0.393} +{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.31136, "decode.acc_seg": 71.29896, "aux.loss_seg": 0.23041, "aux.acc_seg": 64.46335, "loss": 0.54177, "time": 0.40956} +{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.27596, "decode.acc_seg": 70.99393, "aux.loss_seg": 0.20926, "aux.acc_seg": 64.59345, "loss": 0.48522, "time": 0.39371} +{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2902, "decode.acc_seg": 70.86497, "aux.loss_seg": 0.21634, "aux.acc_seg": 64.4371, "loss": 0.50655, "time": 0.3995} +{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.28184, "decode.acc_seg": 70.6432, "aux.loss_seg": 0.21074, "aux.acc_seg": 63.9486, "loss": 0.49257, "time": 0.41182} +{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.29429, "decode.acc_seg": 69.92019, "aux.loss_seg": 0.22665, "aux.acc_seg": 62.80895, "loss": 0.52094, "time": 0.39628} +{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.28911, "decode.acc_seg": 71.60011, "aux.loss_seg": 0.21365, "aux.acc_seg": 65.04907, "loss": 0.50276, "time": 0.39303} +{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.27689, "decode.acc_seg": 71.99023, "aux.loss_seg": 0.21483, "aux.acc_seg": 64.7836, "loss": 0.49172, "time": 0.40133} +{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2893, "decode.acc_seg": 70.2013, "aux.loss_seg": 0.21669, "aux.acc_seg": 63.0994, "loss": 0.50599, "time": 0.40202} +{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.28013, "decode.acc_seg": 73.12418, "aux.loss_seg": 0.21249, "aux.acc_seg": 66.52799, "loss": 0.49262, "time": 0.40068} +{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 17837, "data_time": 0.23915, "decode.loss_seg": 0.28227, "decode.acc_seg": 70.65245, "aux.loss_seg": 0.22036, "aux.acc_seg": 63.43289, "loss": 0.50264, "time": 0.6358} +{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.2774, "decode.acc_seg": 72.23625, "aux.loss_seg": 0.20997, "aux.acc_seg": 65.6143, "loss": 0.48737, "time": 0.39039} +{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.27999, "decode.acc_seg": 72.0624, "aux.loss_seg": 0.21266, "aux.acc_seg": 65.44188, "loss": 0.49266, "time": 0.41147} +{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.28295, "decode.acc_seg": 71.74914, "aux.loss_seg": 0.22082, "aux.acc_seg": 64.4184, "loss": 0.50377, "time": 0.3937} +{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2877, "decode.acc_seg": 73.32672, "aux.loss_seg": 0.21211, "aux.acc_seg": 66.86172, "loss": 0.49981, "time": 0.39247} +{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.28646, "decode.acc_seg": 72.10645, "aux.loss_seg": 0.21506, "aux.acc_seg": 65.3188, "loss": 0.50152, "time": 0.39388} +{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.28521, "decode.acc_seg": 71.77907, "aux.loss_seg": 0.22131, "aux.acc_seg": 64.57261, "loss": 0.50652, "time": 0.41099} +{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.26829, "decode.acc_seg": 72.49569, "aux.loss_seg": 0.20163, "aux.acc_seg": 66.26046, "loss": 0.46992, "time": 0.40487} +{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.29109, "decode.acc_seg": 71.86727, "aux.loss_seg": 0.22502, "aux.acc_seg": 64.7565, "loss": 0.51611, "time": 0.40108} +{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27982, "decode.acc_seg": 72.22771, "aux.loss_seg": 0.21251, "aux.acc_seg": 65.5335, "loss": 0.49233, "time": 0.40458} +{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.27334, "decode.acc_seg": 72.07391, "aux.loss_seg": 0.20658, "aux.acc_seg": 65.62658, "loss": 0.47992, "time": 0.41137} +{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26918, "decode.acc_seg": 71.10223, "aux.loss_seg": 0.20326, "aux.acc_seg": 64.96813, "loss": 0.47244, "time": 0.39719} +{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.28642, "decode.acc_seg": 72.09471, "aux.loss_seg": 0.21768, "aux.acc_seg": 65.22405, "loss": 0.5041, "time": 0.41107} +{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.29049, "decode.acc_seg": 72.02067, "aux.loss_seg": 0.22033, "aux.acc_seg": 65.16383, "loss": 0.51081, "time": 0.39736} +{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.2933, "decode.acc_seg": 71.63668, "aux.loss_seg": 0.21436, "aux.acc_seg": 65.12786, "loss": 0.50766, "time": 0.39696} +{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.26917, "decode.acc_seg": 70.95953, "aux.loss_seg": 0.20147, "aux.acc_seg": 64.56639, "loss": 0.47064, "time": 0.39809} +{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.29138, "decode.acc_seg": 71.43936, "aux.loss_seg": 0.21507, "aux.acc_seg": 64.83376, "loss": 0.50644, "time": 0.40086} +{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.289, "decode.acc_seg": 72.72489, "aux.loss_seg": 0.21877, "aux.acc_seg": 66.14826, "loss": 0.50777, "time": 0.39367} +{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.28909, "decode.acc_seg": 72.76783, "aux.loss_seg": 0.22066, "aux.acc_seg": 65.80255, "loss": 0.50975, "time": 0.39288} +{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27082, "decode.acc_seg": 72.70145, "aux.loss_seg": 0.21772, "aux.acc_seg": 65.65236, "loss": 0.48854, "time": 0.39362} +{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.28709, "decode.acc_seg": 70.75392, "aux.loss_seg": 0.21658, "aux.acc_seg": 63.73481, "loss": 0.50367, "time": 0.40105} +{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.27384, "decode.acc_seg": 70.65705, "aux.loss_seg": 0.20693, "aux.acc_seg": 64.25535, "loss": 0.48077, "time": 0.41337} +{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.28883, "decode.acc_seg": 70.41864, "aux.loss_seg": 0.21279, "aux.acc_seg": 64.40296, "loss": 0.50162, "time": 0.39649} +{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.27305, "decode.acc_seg": 72.54642, "aux.loss_seg": 0.20225, "aux.acc_seg": 66.33331, "loss": 0.4753, "time": 0.40923} +{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.27581, "decode.acc_seg": 70.59883, "aux.loss_seg": 0.20477, "aux.acc_seg": 64.32755, "loss": 0.48058, "time": 0.41718} +{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 17837, "data_time": 0.24112, "decode.loss_seg": 0.30532, "decode.acc_seg": 70.62281, "aux.loss_seg": 0.22649, "aux.acc_seg": 63.54081, "loss": 0.53181, "time": 0.63377} +{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.26055, "decode.acc_seg": 72.64086, "aux.loss_seg": 0.19765, "aux.acc_seg": 66.42366, "loss": 0.45821, "time": 0.40706} +{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.28447, "decode.acc_seg": 73.13153, "aux.loss_seg": 0.21852, "aux.acc_seg": 66.27779, "loss": 0.50299, "time": 0.40527} +{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27778, "decode.acc_seg": 71.69843, "aux.loss_seg": 0.21047, "aux.acc_seg": 64.86314, "loss": 0.48826, "time": 0.39496} +{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.26758, "decode.acc_seg": 71.75047, "aux.loss_seg": 0.20209, "aux.acc_seg": 65.37674, "loss": 0.46967, "time": 0.39622} +{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.27675, "decode.acc_seg": 71.50007, "aux.loss_seg": 0.20327, "aux.acc_seg": 65.26369, "loss": 0.48002, "time": 0.39655} +{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.27486, "decode.acc_seg": 71.18005, "aux.loss_seg": 0.20627, "aux.acc_seg": 64.901, "loss": 0.48113, "time": 0.40007} +{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.27767, "decode.acc_seg": 71.47182, "aux.loss_seg": 0.20927, "aux.acc_seg": 65.00245, "loss": 0.48694, "time": 0.41392} +{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.26751, "decode.acc_seg": 73.19071, "aux.loss_seg": 0.20678, "aux.acc_seg": 66.24887, "loss": 0.47429, "time": 0.39621} +{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.27717, "decode.acc_seg": 71.61195, "aux.loss_seg": 0.20571, "aux.acc_seg": 65.50618, "loss": 0.48288, "time": 0.40276} +{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.30292, "decode.acc_seg": 71.04065, "aux.loss_seg": 0.22721, "aux.acc_seg": 64.10016, "loss": 0.53013, "time": 0.40771} +{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.27666, "decode.acc_seg": 72.96676, "aux.loss_seg": 0.21294, "aux.acc_seg": 65.96049, "loss": 0.4896, "time": 0.40301} +{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.27683, "decode.acc_seg": 72.23847, "aux.loss_seg": 0.21181, "aux.acc_seg": 65.71946, "loss": 0.48863, "time": 0.40144} +{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.28786, "decode.acc_seg": 70.80364, "aux.loss_seg": 0.2158, "aux.acc_seg": 64.31965, "loss": 0.50367, "time": 0.40052} +{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28451, "decode.acc_seg": 70.74566, "aux.loss_seg": 0.22205, "aux.acc_seg": 63.56081, "loss": 0.50656, "time": 0.40291} +{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.26084, "decode.acc_seg": 72.47787, "aux.loss_seg": 0.1992, "aux.acc_seg": 66.07277, "loss": 0.46004, "time": 0.40832} +{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.28288, "decode.acc_seg": 72.06775, "aux.loss_seg": 0.21733, "aux.acc_seg": 65.15167, "loss": 0.50021, "time": 0.41176} +{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27603, "decode.acc_seg": 71.96542, "aux.loss_seg": 0.21645, "aux.acc_seg": 65.13229, "loss": 0.49247, "time": 0.40207} +{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.27813, "decode.acc_seg": 71.95339, "aux.loss_seg": 0.20598, "aux.acc_seg": 65.75577, "loss": 0.48411, "time": 0.41557} +{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.27665, "decode.acc_seg": 70.54355, "aux.loss_seg": 0.20216, "aux.acc_seg": 64.64025, "loss": 0.47881, "time": 0.41022} +{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.29395, "decode.acc_seg": 71.04278, "aux.loss_seg": 0.21044, "aux.acc_seg": 64.96874, "loss": 0.5044, "time": 0.41167} +{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.31072, "decode.acc_seg": 71.34592, "aux.loss_seg": 0.22396, "aux.acc_seg": 64.62231, "loss": 0.53468, "time": 0.39867} +{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27372, "decode.acc_seg": 71.48131, "aux.loss_seg": 0.21515, "aux.acc_seg": 64.60332, "loss": 0.48887, "time": 0.40832} +{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.2641, "decode.acc_seg": 71.43955, "aux.loss_seg": 0.21076, "aux.acc_seg": 64.52918, "loss": 0.47486, "time": 0.40068} +{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.28221, "decode.acc_seg": 73.16589, "aux.loss_seg": 0.21033, "aux.acc_seg": 66.64717, "loss": 0.49253, "time": 0.40329} +{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 17837, "data_time": 0.24852, "decode.loss_seg": 0.28169, "decode.acc_seg": 72.26817, "aux.loss_seg": 0.21152, "aux.acc_seg": 65.67972, "loss": 0.49322, "time": 0.64063} +{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.285, "decode.acc_seg": 72.72008, "aux.loss_seg": 0.2161, "aux.acc_seg": 65.85786, "loss": 0.5011, "time": 0.39801} +{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.2742, "decode.acc_seg": 71.77936, "aux.loss_seg": 0.21089, "aux.acc_seg": 65.11206, "loss": 0.48509, "time": 0.39534} +{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.28069, "decode.acc_seg": 71.241, "aux.loss_seg": 0.21161, "aux.acc_seg": 64.8432, "loss": 0.49231, "time": 0.39988} +{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.2908, "decode.acc_seg": 72.18183, "aux.loss_seg": 0.21683, "aux.acc_seg": 65.625, "loss": 0.50763, "time": 0.39816} +{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.26884, "decode.acc_seg": 72.41478, "aux.loss_seg": 0.20826, "aux.acc_seg": 65.59885, "loss": 0.4771, "time": 0.39932} +{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.27164, "decode.acc_seg": 70.19918, "aux.loss_seg": 0.20158, "aux.acc_seg": 64.10389, "loss": 0.47322, "time": 0.40512} +{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.28358, "decode.acc_seg": 70.86219, "aux.loss_seg": 0.21262, "aux.acc_seg": 64.3464, "loss": 0.4962, "time": 0.40262} +{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.28049, "decode.acc_seg": 72.11401, "aux.loss_seg": 0.20938, "aux.acc_seg": 65.75461, "loss": 0.48987, "time": 0.39884} +{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.28133, "decode.acc_seg": 71.53164, "aux.loss_seg": 0.21445, "aux.acc_seg": 64.77113, "loss": 0.49578, "time": 0.39707} +{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.28113, "decode.acc_seg": 70.84058, "aux.loss_seg": 0.22059, "aux.acc_seg": 64.06685, "loss": 0.50172, "time": 0.39608} +{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27627, "decode.acc_seg": 71.38775, "aux.loss_seg": 0.21791, "aux.acc_seg": 64.4624, "loss": 0.49418, "time": 0.40216} +{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27807, "decode.acc_seg": 70.91886, "aux.loss_seg": 0.20837, "aux.acc_seg": 64.603, "loss": 0.48644, "time": 0.4074} +{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.27225, "decode.acc_seg": 72.54867, "aux.loss_seg": 0.20555, "aux.acc_seg": 66.12544, "loss": 0.4778, "time": 0.4029} +{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.27619, "decode.acc_seg": 72.8853, "aux.loss_seg": 0.20553, "aux.acc_seg": 66.43104, "loss": 0.48172, "time": 0.40227} +{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28501, "decode.acc_seg": 72.1423, "aux.loss_seg": 0.2221, "aux.acc_seg": 64.99478, "loss": 0.50712, "time": 0.3971} +{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.28051, "decode.acc_seg": 71.46901, "aux.loss_seg": 0.21399, "aux.acc_seg": 64.82055, "loss": 0.4945, "time": 0.40103} +{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25753, "decode.acc_seg": 71.70197, "aux.loss_seg": 0.19626, "aux.acc_seg": 65.53776, "loss": 0.45379, "time": 0.39727} +{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26801, "decode.acc_seg": 70.73215, "aux.loss_seg": 0.21379, "aux.acc_seg": 63.6118, "loss": 0.48179, "time": 0.40357} +{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.2793, "decode.acc_seg": 70.23575, "aux.loss_seg": 0.20009, "aux.acc_seg": 64.32122, "loss": 0.47938, "time": 0.40093} +{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.26834, "decode.acc_seg": 72.62097, "aux.loss_seg": 0.21497, "aux.acc_seg": 65.56668, "loss": 0.48331, "time": 0.4022} +{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.28234, "decode.acc_seg": 71.6027, "aux.loss_seg": 0.20921, "aux.acc_seg": 65.03262, "loss": 0.49155, "time": 0.39912} +{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.27054, "decode.acc_seg": 71.93994, "aux.loss_seg": 0.20306, "aux.acc_seg": 65.4672, "loss": 0.4736, "time": 0.39511} +{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 17837, "data_time": 0.00694, "decode.loss_seg": 0.28637, "decode.acc_seg": 72.69044, "aux.loss_seg": 0.21876, "aux.acc_seg": 65.66389, "loss": 0.50513, "time": 0.41307} +{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.27546, "decode.acc_seg": 71.91206, "aux.loss_seg": 0.21622, "aux.acc_seg": 64.88914, "loss": 0.49168, "time": 0.40115} +{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 17837, "data_time": 0.24381, "decode.loss_seg": 0.28145, "decode.acc_seg": 72.70695, "aux.loss_seg": 0.2097, "aux.acc_seg": 66.55033, "loss": 0.49115, "time": 0.63654} +{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.26997, "decode.acc_seg": 71.67387, "aux.loss_seg": 0.21161, "aux.acc_seg": 64.92529, "loss": 0.48158, "time": 0.40011} +{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.27848, "decode.acc_seg": 69.73493, "aux.loss_seg": 0.21758, "aux.acc_seg": 63.01867, "loss": 0.49606, "time": 0.39952} +{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.29132, "decode.acc_seg": 71.85974, "aux.loss_seg": 0.2127, "aux.acc_seg": 65.70404, "loss": 0.50402, "time": 0.40515} +{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.26638, "decode.acc_seg": 73.08574, "aux.loss_seg": 0.20328, "aux.acc_seg": 66.55767, "loss": 0.46967, "time": 0.402} +{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.27174, "decode.acc_seg": 71.58755, "aux.loss_seg": 0.21434, "aux.acc_seg": 64.43183, "loss": 0.48608, "time": 0.41246} +{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.27443, "decode.acc_seg": 71.55058, "aux.loss_seg": 0.20917, "aux.acc_seg": 64.95963, "loss": 0.48359, "time": 0.4042} +{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.28519, "decode.acc_seg": 71.03988, "aux.loss_seg": 0.21762, "aux.acc_seg": 64.23177, "loss": 0.50281, "time": 0.40298} +{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.28017, "decode.acc_seg": 71.88243, "aux.loss_seg": 0.20427, "aux.acc_seg": 66.12931, "loss": 0.48443, "time": 0.40313} +{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25612, "decode.acc_seg": 73.35884, "aux.loss_seg": 0.20264, "aux.acc_seg": 66.72915, "loss": 0.45876, "time": 0.39576} +{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.2884, "decode.acc_seg": 71.96995, "aux.loss_seg": 0.21742, "aux.acc_seg": 65.099, "loss": 0.50582, "time": 0.39717} +{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.27845, "decode.acc_seg": 73.41434, "aux.loss_seg": 0.22116, "aux.acc_seg": 66.06513, "loss": 0.49961, "time": 0.39904} +{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.28561, "decode.acc_seg": 71.16067, "aux.loss_seg": 0.21692, "aux.acc_seg": 64.20606, "loss": 0.50253, "time": 0.40141} +{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.29875, "decode.acc_seg": 70.81425, "aux.loss_seg": 0.21802, "aux.acc_seg": 64.5129, "loss": 0.51677, "time": 0.40039} +{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27023, "decode.acc_seg": 72.03991, "aux.loss_seg": 0.20625, "aux.acc_seg": 65.39391, "loss": 0.47648, "time": 0.40214} +{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2583, "decode.acc_seg": 71.34972, "aux.loss_seg": 0.19926, "aux.acc_seg": 64.97129, "loss": 0.45757, "time": 0.40208} +{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27229, "decode.acc_seg": 72.40918, "aux.loss_seg": 0.20388, "aux.acc_seg": 66.06856, "loss": 0.47618, "time": 0.40049} +{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.28508, "decode.acc_seg": 71.63991, "aux.loss_seg": 0.21388, "aux.acc_seg": 65.06468, "loss": 0.49896, "time": 0.40049} +{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.29738, "decode.acc_seg": 70.78974, "aux.loss_seg": 0.21946, "aux.acc_seg": 64.26959, "loss": 0.51684, "time": 0.40516} +{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28785, "decode.acc_seg": 71.44775, "aux.loss_seg": 0.21133, "aux.acc_seg": 65.0496, "loss": 0.49918, "time": 0.39778} +{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.27435, "decode.acc_seg": 71.75296, "aux.loss_seg": 0.20958, "aux.acc_seg": 64.79807, "loss": 0.48393, "time": 0.40372} +{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.27995, "decode.acc_seg": 71.00338, "aux.loss_seg": 0.21049, "aux.acc_seg": 64.33758, "loss": 0.49044, "time": 0.39633} +{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.28308, "decode.acc_seg": 71.96144, "aux.loss_seg": 0.22015, "aux.acc_seg": 65.00014, "loss": 0.50322, "time": 0.40434} +{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.28457, "decode.acc_seg": 71.55551, "aux.loss_seg": 0.21841, "aux.acc_seg": 64.63094, "loss": 0.50298, "time": 0.40959} +{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.27339, "decode.acc_seg": 70.91819, "aux.loss_seg": 0.20486, "aux.acc_seg": 64.93567, "loss": 0.47825, "time": 0.41886} +{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.27992, "decode.acc_seg": 72.19722, "aux.loss_seg": 0.21552, "aux.acc_seg": 65.09362, "loss": 0.49544, "time": 0.39629} +{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 17837, "data_time": 0.24741, "decode.loss_seg": 0.27129, "decode.acc_seg": 72.58082, "aux.loss_seg": 0.20187, "aux.acc_seg": 66.49854, "loss": 0.47316, "time": 0.64091} +{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.28384, "decode.acc_seg": 70.79717, "aux.loss_seg": 0.21443, "aux.acc_seg": 64.25655, "loss": 0.49827, "time": 0.39956} +{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.27404, "decode.acc_seg": 72.89164, "aux.loss_seg": 0.21071, "aux.acc_seg": 66.13574, "loss": 0.48474, "time": 0.40284} +{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27774, "decode.acc_seg": 72.54209, "aux.loss_seg": 0.21389, "aux.acc_seg": 65.4142, "loss": 0.49163, "time": 0.39425} +{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.28399, "decode.acc_seg": 71.98852, "aux.loss_seg": 0.22362, "aux.acc_seg": 64.56121, "loss": 0.5076, "time": 0.40299} +{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.26885, "decode.acc_seg": 73.01916, "aux.loss_seg": 0.2056, "aux.acc_seg": 66.34407, "loss": 0.47444, "time": 0.39462} +{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.2575, "decode.acc_seg": 73.10834, "aux.loss_seg": 0.19997, "aux.acc_seg": 66.33165, "loss": 0.45747, "time": 0.39601} +{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.2652, "decode.acc_seg": 70.46786, "aux.loss_seg": 0.2003, "aux.acc_seg": 64.26152, "loss": 0.4655, "time": 0.40319} +{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.27097, "decode.acc_seg": 71.03705, "aux.loss_seg": 0.20587, "aux.acc_seg": 64.59495, "loss": 0.47683, "time": 0.41422} +{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.27479, "decode.acc_seg": 70.99505, "aux.loss_seg": 0.21121, "aux.acc_seg": 64.637, "loss": 0.48601, "time": 0.41317} +{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.27531, "decode.acc_seg": 72.48753, "aux.loss_seg": 0.21536, "aux.acc_seg": 65.53097, "loss": 0.49067, "time": 0.39783} +{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.2728, "decode.acc_seg": 72.33779, "aux.loss_seg": 0.21503, "aux.acc_seg": 65.41676, "loss": 0.48784, "time": 0.40023} +{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.27489, "decode.acc_seg": 72.31253, "aux.loss_seg": 0.21205, "aux.acc_seg": 65.50518, "loss": 0.48694, "time": 0.40536} +{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.27174, "decode.acc_seg": 69.47687, "aux.loss_seg": 0.20514, "aux.acc_seg": 62.99369, "loss": 0.47688, "time": 0.4094} +{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28502, "decode.acc_seg": 71.43561, "aux.loss_seg": 0.2139, "aux.acc_seg": 64.84105, "loss": 0.49891, "time": 0.40317} +{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.28811, "decode.acc_seg": 72.02362, "aux.loss_seg": 0.21943, "aux.acc_seg": 65.0005, "loss": 0.50754, "time": 0.39729} +{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 17837, "data_time": 0.00657, "decode.loss_seg": 0.29098, "decode.acc_seg": 71.5186, "aux.loss_seg": 0.21831, "aux.acc_seg": 64.79843, "loss": 0.50929, "time": 0.40298} +{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 17837, "data_time": 0.00682, "decode.loss_seg": 0.28565, "decode.acc_seg": 71.43753, "aux.loss_seg": 0.2118, "aux.acc_seg": 65.0166, "loss": 0.49745, "time": 0.40162} +{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 17837, "data_time": 0.00662, "decode.loss_seg": 0.27619, "decode.acc_seg": 69.88153, "aux.loss_seg": 0.21307, "aux.acc_seg": 63.31133, "loss": 0.48925, "time": 0.40896} +{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.29326, "decode.acc_seg": 71.57648, "aux.loss_seg": 0.21579, "aux.acc_seg": 65.26354, "loss": 0.50904, "time": 0.39744} +{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.28333, "decode.acc_seg": 72.95178, "aux.loss_seg": 0.21405, "aux.acc_seg": 66.46223, "loss": 0.49738, "time": 0.40305} +{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 17837, "data_time": 0.00776, "decode.loss_seg": 0.28236, "decode.acc_seg": 71.76608, "aux.loss_seg": 0.20248, "aux.acc_seg": 65.89972, "loss": 0.48483, "time": 0.40531} +{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 17837, "data_time": 0.00741, "decode.loss_seg": 0.28031, "decode.acc_seg": 70.81606, "aux.loss_seg": 0.20231, "aux.acc_seg": 64.72584, "loss": 0.48262, "time": 0.4094} +{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.29387, "decode.acc_seg": 71.46796, "aux.loss_seg": 0.22279, "aux.acc_seg": 65.02289, "loss": 0.51666, "time": 0.40911} +{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 17837, "data_time": 0.00684, "decode.loss_seg": 0.28651, "decode.acc_seg": 72.62594, "aux.loss_seg": 0.21133, "aux.acc_seg": 66.28615, "loss": 0.49784, "time": 0.41818} +{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 17837, "data_time": 0.24426, "decode.loss_seg": 0.28197, "decode.acc_seg": 71.66292, "aux.loss_seg": 0.2098, "aux.acc_seg": 65.07282, "loss": 0.49178, "time": 0.63816} +{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.26066, "decode.acc_seg": 71.9968, "aux.loss_seg": 0.20339, "aux.acc_seg": 65.27493, "loss": 0.46405, "time": 0.41063} +{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27232, "decode.acc_seg": 71.98231, "aux.loss_seg": 0.209, "aux.acc_seg": 65.26891, "loss": 0.48131, "time": 0.40245} +{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.26899, "decode.acc_seg": 71.77554, "aux.loss_seg": 0.20381, "aux.acc_seg": 65.47993, "loss": 0.4728, "time": 0.39872} +{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.27753, "decode.acc_seg": 72.01538, "aux.loss_seg": 0.20785, "aux.acc_seg": 65.69853, "loss": 0.48539, "time": 0.40524} +{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.27066, "decode.acc_seg": 72.22186, "aux.loss_seg": 0.2034, "aux.acc_seg": 65.94371, "loss": 0.47406, "time": 0.41071} +{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.27303, "decode.acc_seg": 72.81951, "aux.loss_seg": 0.21108, "aux.acc_seg": 65.80063, "loss": 0.48411, "time": 0.39956} +{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.27659, "decode.acc_seg": 73.32774, "aux.loss_seg": 0.2013, "aux.acc_seg": 67.12061, "loss": 0.47788, "time": 0.39527} +{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.2731, "decode.acc_seg": 71.49352, "aux.loss_seg": 0.21289, "aux.acc_seg": 64.63444, "loss": 0.48599, "time": 0.40443} +{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25894, "decode.acc_seg": 72.13911, "aux.loss_seg": 0.19876, "aux.acc_seg": 65.84603, "loss": 0.4577, "time": 0.40556} +{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.28157, "decode.acc_seg": 71.03136, "aux.loss_seg": 0.21481, "aux.acc_seg": 64.60786, "loss": 0.49639, "time": 0.40953} +{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.27221, "decode.acc_seg": 72.44108, "aux.loss_seg": 0.20861, "aux.acc_seg": 65.9553, "loss": 0.48082, "time": 0.39692} +{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.26888, "decode.acc_seg": 70.88358, "aux.loss_seg": 0.21273, "aux.acc_seg": 64.03138, "loss": 0.48161, "time": 0.39934} +{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26293, "decode.acc_seg": 71.23219, "aux.loss_seg": 0.20068, "aux.acc_seg": 64.89213, "loss": 0.4636, "time": 0.40598} +{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.27617, "decode.acc_seg": 72.45478, "aux.loss_seg": 0.21014, "aux.acc_seg": 65.90162, "loss": 0.48631, "time": 0.40189} +{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28452, "decode.acc_seg": 72.2294, "aux.loss_seg": 0.21543, "aux.acc_seg": 65.39209, "loss": 0.49995, "time": 0.39485} +{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.28004, "decode.acc_seg": 72.54019, "aux.loss_seg": 0.2192, "aux.acc_seg": 65.17772, "loss": 0.49924, "time": 0.3935} +{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.28748, "decode.acc_seg": 70.43775, "aux.loss_seg": 0.21065, "aux.acc_seg": 64.35195, "loss": 0.49813, "time": 0.40297} +{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.28221, "decode.acc_seg": 70.62996, "aux.loss_seg": 0.21962, "aux.acc_seg": 63.64193, "loss": 0.50183, "time": 0.41122} +{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.27463, "decode.acc_seg": 71.52619, "aux.loss_seg": 0.20852, "aux.acc_seg": 64.79988, "loss": 0.48314, "time": 0.40028} +{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.27182, "decode.acc_seg": 71.13194, "aux.loss_seg": 0.20071, "aux.acc_seg": 65.29675, "loss": 0.47253, "time": 0.39792} +{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.26935, "decode.acc_seg": 71.08514, "aux.loss_seg": 0.20826, "aux.acc_seg": 64.65729, "loss": 0.47761, "time": 0.39633} +{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.26992, "decode.acc_seg": 71.79271, "aux.loss_seg": 0.2019, "aux.acc_seg": 65.75756, "loss": 0.47182, "time": 0.39579} +{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.26241, "decode.acc_seg": 70.67034, "aux.loss_seg": 0.20307, "aux.acc_seg": 64.45193, "loss": 0.46549, "time": 0.409} +{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.28745, "decode.acc_seg": 71.74358, "aux.loss_seg": 0.2196, "aux.acc_seg": 64.70934, "loss": 0.50705, "time": 0.40141} +{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 17837, "data_time": 0.24352, "decode.loss_seg": 0.28759, "decode.acc_seg": 71.59942, "aux.loss_seg": 0.21685, "aux.acc_seg": 64.85817, "loss": 0.50444, "time": 0.6299} +{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.2853, "decode.acc_seg": 72.15532, "aux.loss_seg": 0.21676, "aux.acc_seg": 65.48018, "loss": 0.50207, "time": 0.39544} +{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.27167, "decode.acc_seg": 72.10048, "aux.loss_seg": 0.20875, "aux.acc_seg": 65.38675, "loss": 0.48042, "time": 0.39833} +{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.26288, "decode.acc_seg": 72.92317, "aux.loss_seg": 0.19881, "aux.acc_seg": 66.79606, "loss": 0.46169, "time": 0.39602} +{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27069, "decode.acc_seg": 72.93841, "aux.loss_seg": 0.21118, "aux.acc_seg": 66.06704, "loss": 0.48187, "time": 0.39888} +{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.26707, "decode.acc_seg": 70.57705, "aux.loss_seg": 0.20489, "aux.acc_seg": 64.18101, "loss": 0.47196, "time": 0.39537} +{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.25665, "decode.acc_seg": 73.14003, "aux.loss_seg": 0.21229, "aux.acc_seg": 65.39089, "loss": 0.46894, "time": 0.39743} +{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.2647, "decode.acc_seg": 71.26344, "aux.loss_seg": 0.2046, "aux.acc_seg": 64.93382, "loss": 0.4693, "time": 0.39985} +{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.27883, "decode.acc_seg": 72.29806, "aux.loss_seg": 0.21206, "aux.acc_seg": 65.89456, "loss": 0.49089, "time": 0.39731} +{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.26979, "decode.acc_seg": 71.18646, "aux.loss_seg": 0.20391, "aux.acc_seg": 65.03238, "loss": 0.4737, "time": 0.40373} +{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.27421, "decode.acc_seg": 72.32657, "aux.loss_seg": 0.2182, "aux.acc_seg": 65.18284, "loss": 0.49241, "time": 0.41237} +{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.27135, "decode.acc_seg": 71.66483, "aux.loss_seg": 0.20384, "aux.acc_seg": 65.62355, "loss": 0.47519, "time": 0.41479} +{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25108, "decode.acc_seg": 72.51751, "aux.loss_seg": 0.19301, "aux.acc_seg": 66.16452, "loss": 0.44409, "time": 0.39534} +{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.27751, "decode.acc_seg": 71.84473, "aux.loss_seg": 0.21105, "aux.acc_seg": 65.27417, "loss": 0.48856, "time": 0.40052} +{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28533, "decode.acc_seg": 72.48247, "aux.loss_seg": 0.21709, "aux.acc_seg": 65.65001, "loss": 0.50242, "time": 0.3966} +{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 17837, "data_time": 0.00552, "decode.loss_seg": 0.26722, "decode.acc_seg": 72.91239, "aux.loss_seg": 0.20348, "aux.acc_seg": 66.66253, "loss": 0.4707, "time": 0.39793} +{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.28269, "decode.acc_seg": 71.53675, "aux.loss_seg": 0.20806, "aux.acc_seg": 65.44772, "loss": 0.49075, "time": 0.39437} +{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.28118, "decode.acc_seg": 71.62162, "aux.loss_seg": 0.20811, "aux.acc_seg": 65.23674, "loss": 0.48929, "time": 0.39615} +{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.30343, "decode.acc_seg": 73.5774, "aux.loss_seg": 0.22768, "aux.acc_seg": 66.44528, "loss": 0.53112, "time": 0.40068} +{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28751, "decode.acc_seg": 72.08127, "aux.loss_seg": 0.2182, "aux.acc_seg": 65.07806, "loss": 0.50571, "time": 0.40358} +{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25581, "decode.acc_seg": 70.45915, "aux.loss_seg": 0.19659, "aux.acc_seg": 63.98374, "loss": 0.4524, "time": 0.39962} +{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26012, "decode.acc_seg": 73.32189, "aux.loss_seg": 0.20281, "aux.acc_seg": 66.49122, "loss": 0.46293, "time": 0.39737} +{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.28389, "decode.acc_seg": 72.03563, "aux.loss_seg": 0.21213, "aux.acc_seg": 65.52768, "loss": 0.49602, "time": 0.39853} +{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26392, "decode.acc_seg": 72.226, "aux.loss_seg": 0.2025, "aux.acc_seg": 65.60756, "loss": 0.46642, "time": 0.4129} +{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.27821, "decode.acc_seg": 72.30351, "aux.loss_seg": 0.21489, "aux.acc_seg": 65.36878, "loss": 0.49311, "time": 0.40642} +{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 17837, "data_time": 0.24393, "decode.loss_seg": 0.27522, "decode.acc_seg": 72.52736, "aux.loss_seg": 0.21686, "aux.acc_seg": 65.57376, "loss": 0.49208, "time": 0.63094} +{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.26031, "decode.acc_seg": 71.06795, "aux.loss_seg": 0.1941, "aux.acc_seg": 65.43166, "loss": 0.4544, "time": 0.41161} +{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 17837, "data_time": 0.00686, "decode.loss_seg": 0.2843, "decode.acc_seg": 71.93477, "aux.loss_seg": 0.21211, "aux.acc_seg": 65.52169, "loss": 0.49641, "time": 0.40409} +{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.26383, "decode.acc_seg": 71.50583, "aux.loss_seg": 0.1974, "aux.acc_seg": 65.47336, "loss": 0.46124, "time": 0.40639} +{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.26951, "decode.acc_seg": 71.04096, "aux.loss_seg": 0.20505, "aux.acc_seg": 64.64723, "loss": 0.47456, "time": 0.40254} +{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.27799, "decode.acc_seg": 71.29267, "aux.loss_seg": 0.20991, "aux.acc_seg": 64.7034, "loss": 0.4879, "time": 0.40014} +{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27521, "decode.acc_seg": 72.21282, "aux.loss_seg": 0.20555, "aux.acc_seg": 66.00455, "loss": 0.48077, "time": 0.39607} +{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.26651, "decode.acc_seg": 71.60051, "aux.loss_seg": 0.20715, "aux.acc_seg": 64.73556, "loss": 0.47366, "time": 0.39169} +{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.26052, "decode.acc_seg": 72.88855, "aux.loss_seg": 0.1989, "aux.acc_seg": 66.4889, "loss": 0.45942, "time": 0.39804} +{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.28607, "decode.acc_seg": 71.92033, "aux.loss_seg": 0.21489, "aux.acc_seg": 65.58873, "loss": 0.50096, "time": 0.39426} +{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.27377, "decode.acc_seg": 72.2451, "aux.loss_seg": 0.21448, "aux.acc_seg": 65.63776, "loss": 0.48826, "time": 0.39966} +{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.26434, "decode.acc_seg": 72.96836, "aux.loss_seg": 0.20924, "aux.acc_seg": 66.13195, "loss": 0.47358, "time": 0.39685} +{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.26988, "decode.acc_seg": 72.06534, "aux.loss_seg": 0.2078, "aux.acc_seg": 65.35089, "loss": 0.47768, "time": 0.39621} +{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.26699, "decode.acc_seg": 73.04076, "aux.loss_seg": 0.20634, "aux.acc_seg": 66.23075, "loss": 0.47333, "time": 0.3937} +{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.25459, "decode.acc_seg": 72.01289, "aux.loss_seg": 0.19577, "aux.acc_seg": 65.56938, "loss": 0.45036, "time": 0.39959} +{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.28108, "decode.acc_seg": 71.72245, "aux.loss_seg": 0.22286, "aux.acc_seg": 64.34097, "loss": 0.50395, "time": 0.39543} +{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.27574, "decode.acc_seg": 70.87025, "aux.loss_seg": 0.20954, "aux.acc_seg": 64.431, "loss": 0.48527, "time": 0.39819} +{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.26885, "decode.acc_seg": 70.43848, "aux.loss_seg": 0.20399, "aux.acc_seg": 63.99353, "loss": 0.47283, "time": 0.40064} +{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.27433, "decode.acc_seg": 71.6234, "aux.loss_seg": 0.20616, "aux.acc_seg": 65.36215, "loss": 0.48049, "time": 0.3962} +{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.28326, "decode.acc_seg": 72.53604, "aux.loss_seg": 0.22127, "aux.acc_seg": 65.35998, "loss": 0.50453, "time": 0.39321} +{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.27089, "decode.acc_seg": 72.42646, "aux.loss_seg": 0.20958, "aux.acc_seg": 65.89843, "loss": 0.48048, "time": 0.39587} +{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.26977, "decode.acc_seg": 71.26372, "aux.loss_seg": 0.19981, "aux.acc_seg": 65.12838, "loss": 0.46958, "time": 0.39775} +{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.26746, "decode.acc_seg": 72.01616, "aux.loss_seg": 0.20643, "aux.acc_seg": 65.03332, "loss": 0.47389, "time": 0.39225} +{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.27281, "decode.acc_seg": 72.46274, "aux.loss_seg": 0.20943, "aux.acc_seg": 65.88408, "loss": 0.48224, "time": 0.39787} +{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.27182, "decode.acc_seg": 71.75414, "aux.loss_seg": 0.20397, "aux.acc_seg": 65.57583, "loss": 0.47579, "time": 0.39705} +{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.28571, "decode.acc_seg": 72.00946, "aux.loss_seg": 0.20822, "aux.acc_seg": 65.8871, "loss": 0.49393, "time": 0.39382} +{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 17837, "data_time": 0.24468, "decode.loss_seg": 0.25462, "decode.acc_seg": 72.9843, "aux.loss_seg": 0.20022, "aux.acc_seg": 66.64992, "loss": 0.45484, "time": 0.63577} +{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.26396, "decode.acc_seg": 73.61941, "aux.loss_seg": 0.20112, "aux.acc_seg": 67.23052, "loss": 0.46509, "time": 0.39486} +{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.28133, "decode.acc_seg": 72.87199, "aux.loss_seg": 0.21324, "aux.acc_seg": 66.0133, "loss": 0.49458, "time": 0.39714} +{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.26908, "decode.acc_seg": 70.86273, "aux.loss_seg": 0.21206, "aux.acc_seg": 64.11433, "loss": 0.48114, "time": 0.39712} +{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.26541, "decode.acc_seg": 70.78366, "aux.loss_seg": 0.20194, "aux.acc_seg": 64.63138, "loss": 0.46735, "time": 0.39476} +{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.27374, "decode.acc_seg": 70.86382, "aux.loss_seg": 0.20344, "aux.acc_seg": 64.66354, "loss": 0.47718, "time": 0.40758} +{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25686, "decode.acc_seg": 71.38462, "aux.loss_seg": 0.19643, "aux.acc_seg": 65.21756, "loss": 0.45329, "time": 0.40037} +{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.27633, "decode.acc_seg": 71.96568, "aux.loss_seg": 0.20918, "aux.acc_seg": 65.52095, "loss": 0.48551, "time": 0.40433} +{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.27533, "decode.acc_seg": 71.46632, "aux.loss_seg": 0.20651, "aux.acc_seg": 65.17314, "loss": 0.48184, "time": 0.40385} +{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.2604, "decode.acc_seg": 72.66382, "aux.loss_seg": 0.20039, "aux.acc_seg": 66.06226, "loss": 0.46078, "time": 0.40143} +{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.26748, "decode.acc_seg": 71.6366, "aux.loss_seg": 0.20415, "aux.acc_seg": 65.26707, "loss": 0.47162, "time": 0.39942} +{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.27681, "decode.acc_seg": 71.49091, "aux.loss_seg": 0.21053, "aux.acc_seg": 65.25135, "loss": 0.48734, "time": 0.40642} +{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.24014, "decode.acc_seg": 72.4313, "aux.loss_seg": 0.18657, "aux.acc_seg": 66.49066, "loss": 0.42671, "time": 0.40063} +{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.26481, "decode.acc_seg": 72.91755, "aux.loss_seg": 0.20478, "aux.acc_seg": 66.31852, "loss": 0.46958, "time": 0.40833} +{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.27384, "decode.acc_seg": 73.15248, "aux.loss_seg": 0.21155, "aux.acc_seg": 66.06614, "loss": 0.48539, "time": 0.39953} +{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.27181, "decode.acc_seg": 72.89527, "aux.loss_seg": 0.22072, "aux.acc_seg": 65.47184, "loss": 0.49254, "time": 0.41756} +{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.28334, "decode.acc_seg": 72.36564, "aux.loss_seg": 0.21496, "aux.acc_seg": 65.62645, "loss": 0.4983, "time": 0.40434} +{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26821, "decode.acc_seg": 72.31214, "aux.loss_seg": 0.20529, "aux.acc_seg": 65.55715, "loss": 0.4735, "time": 0.39819} +{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.27676, "decode.acc_seg": 71.79578, "aux.loss_seg": 0.21205, "aux.acc_seg": 65.15067, "loss": 0.48881, "time": 0.39267} +{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.27582, "decode.acc_seg": 72.07433, "aux.loss_seg": 0.20794, "aux.acc_seg": 65.48034, "loss": 0.48376, "time": 0.4011} +{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.27568, "decode.acc_seg": 70.85856, "aux.loss_seg": 0.21066, "aux.acc_seg": 64.05387, "loss": 0.48634, "time": 0.40236} +{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.28488, "decode.acc_seg": 71.11974, "aux.loss_seg": 0.21329, "aux.acc_seg": 64.33205, "loss": 0.49817, "time": 0.39737} +{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.27764, "decode.acc_seg": 73.39252, "aux.loss_seg": 0.21546, "aux.acc_seg": 66.52608, "loss": 0.4931, "time": 0.40361} +{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26972, "decode.acc_seg": 71.42426, "aux.loss_seg": 0.21, "aux.acc_seg": 64.6113, "loss": 0.47972, "time": 0.39455} +{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.26562, "decode.acc_seg": 71.99024, "aux.loss_seg": 0.20664, "aux.acc_seg": 65.1046, "loss": 0.47226, "time": 0.39861} +{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 17837, "data_time": 0.24213, "decode.loss_seg": 0.27531, "decode.acc_seg": 72.99328, "aux.loss_seg": 0.21064, "aux.acc_seg": 66.36064, "loss": 0.48595, "time": 0.62919} +{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27904, "decode.acc_seg": 72.12378, "aux.loss_seg": 0.21914, "aux.acc_seg": 64.85045, "loss": 0.49818, "time": 0.39735} +{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.26574, "decode.acc_seg": 71.16771, "aux.loss_seg": 0.20218, "aux.acc_seg": 64.96839, "loss": 0.46792, "time": 0.40035} +{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26952, "decode.acc_seg": 70.91249, "aux.loss_seg": 0.20306, "aux.acc_seg": 64.40207, "loss": 0.47258, "time": 0.41321} +{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26526, "decode.acc_seg": 72.17089, "aux.loss_seg": 0.20374, "aux.acc_seg": 65.616, "loss": 0.469, "time": 0.40238} +{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26675, "decode.acc_seg": 71.72464, "aux.loss_seg": 0.20861, "aux.acc_seg": 64.96209, "loss": 0.47536, "time": 0.3945} +{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 17837, "data_time": 0.00685, "decode.loss_seg": 0.25563, "decode.acc_seg": 72.16846, "aux.loss_seg": 0.1925, "aux.acc_seg": 66.17298, "loss": 0.44813, "time": 0.40876} +{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26572, "decode.acc_seg": 72.52536, "aux.loss_seg": 0.20556, "aux.acc_seg": 65.91303, "loss": 0.47128, "time": 0.39477} +{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26538, "decode.acc_seg": 71.20633, "aux.loss_seg": 0.20707, "aux.acc_seg": 64.38539, "loss": 0.47245, "time": 0.40669} +{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.2694, "decode.acc_seg": 72.83071, "aux.loss_seg": 0.20578, "aux.acc_seg": 66.21536, "loss": 0.47518, "time": 0.42036} +{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.26757, "decode.acc_seg": 73.00545, "aux.loss_seg": 0.21166, "aux.acc_seg": 66.14309, "loss": 0.47923, "time": 0.41086} +{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.26882, "decode.acc_seg": 72.09601, "aux.loss_seg": 0.20779, "aux.acc_seg": 65.39795, "loss": 0.47661, "time": 0.40295} +{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.2773, "decode.acc_seg": 72.63939, "aux.loss_seg": 0.2087, "aux.acc_seg": 66.01233, "loss": 0.48599, "time": 0.41499} +{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26842, "decode.acc_seg": 72.39604, "aux.loss_seg": 0.21015, "aux.acc_seg": 65.35291, "loss": 0.47857, "time": 0.3961} +{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.26958, "decode.acc_seg": 71.94516, "aux.loss_seg": 0.20394, "aux.acc_seg": 65.39315, "loss": 0.47352, "time": 0.39903} +{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26369, "decode.acc_seg": 72.37192, "aux.loss_seg": 0.20292, "aux.acc_seg": 65.89189, "loss": 0.46661, "time": 0.40304} +{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27689, "decode.acc_seg": 73.05751, "aux.loss_seg": 0.20043, "aux.acc_seg": 67.07603, "loss": 0.47732, "time": 0.41209} +{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.25764, "decode.acc_seg": 72.30515, "aux.loss_seg": 0.20293, "aux.acc_seg": 65.58582, "loss": 0.46058, "time": 0.40238} +{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.26479, "decode.acc_seg": 71.65283, "aux.loss_seg": 0.20322, "aux.acc_seg": 65.2661, "loss": 0.46801, "time": 0.40123} +{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.28051, "decode.acc_seg": 72.11458, "aux.loss_seg": 0.21056, "aux.acc_seg": 65.17533, "loss": 0.49107, "time": 0.39928} +{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.26667, "decode.acc_seg": 72.30563, "aux.loss_seg": 0.20532, "aux.acc_seg": 65.68559, "loss": 0.472, "time": 0.40065} +{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.25179, "decode.acc_seg": 71.13393, "aux.loss_seg": 0.18846, "aux.acc_seg": 65.43731, "loss": 0.44025, "time": 0.39654} +{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.27252, "decode.acc_seg": 71.36711, "aux.loss_seg": 0.21106, "aux.acc_seg": 64.73702, "loss": 0.48358, "time": 0.39629} +{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.26609, "decode.acc_seg": 71.91495, "aux.loss_seg": 0.20655, "aux.acc_seg": 65.19817, "loss": 0.47264, "time": 0.39834} +{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27591, "decode.acc_seg": 71.03428, "aux.loss_seg": 0.20907, "aux.acc_seg": 64.6062, "loss": 0.48498, "time": 0.39779} +{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 17837, "data_time": 0.24066, "decode.loss_seg": 0.27172, "decode.acc_seg": 72.1833, "aux.loss_seg": 0.20275, "aux.acc_seg": 66.23348, "loss": 0.47448, "time": 0.6289} +{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.25902, "decode.acc_seg": 72.86826, "aux.loss_seg": 0.20293, "aux.acc_seg": 66.23136, "loss": 0.46196, "time": 0.41056} +{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25715, "decode.acc_seg": 72.65134, "aux.loss_seg": 0.20687, "aux.acc_seg": 65.66783, "loss": 0.46401, "time": 0.39846} +{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.26951, "decode.acc_seg": 71.77744, "aux.loss_seg": 0.20897, "aux.acc_seg": 65.30961, "loss": 0.47848, "time": 0.39946} +{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.26372, "decode.acc_seg": 72.13213, "aux.loss_seg": 0.20654, "aux.acc_seg": 65.19041, "loss": 0.47025, "time": 0.39831} +{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.25772, "decode.acc_seg": 72.85022, "aux.loss_seg": 0.20327, "aux.acc_seg": 65.88054, "loss": 0.46099, "time": 0.41803} +{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.27181, "decode.acc_seg": 71.01315, "aux.loss_seg": 0.21663, "aux.acc_seg": 63.79165, "loss": 0.48844, "time": 0.39503} +{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.25618, "decode.acc_seg": 73.94847, "aux.loss_seg": 0.20037, "aux.acc_seg": 67.35376, "loss": 0.45655, "time": 0.39477} +{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.28043, "decode.acc_seg": 72.95168, "aux.loss_seg": 0.21647, "aux.acc_seg": 65.81469, "loss": 0.4969, "time": 0.39447} +{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.2639, "decode.acc_seg": 70.45404, "aux.loss_seg": 0.20704, "aux.acc_seg": 63.73081, "loss": 0.47094, "time": 0.39557} +{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25267, "decode.acc_seg": 72.77892, "aux.loss_seg": 0.19558, "aux.acc_seg": 66.58875, "loss": 0.44825, "time": 0.40277} +{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26342, "decode.acc_seg": 72.81107, "aux.loss_seg": 0.20898, "aux.acc_seg": 66.20026, "loss": 0.47239, "time": 0.39279} +{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27152, "decode.acc_seg": 71.80876, "aux.loss_seg": 0.19939, "aux.acc_seg": 65.93588, "loss": 0.47091, "time": 0.39443} +{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.27835, "decode.acc_seg": 72.14698, "aux.loss_seg": 0.20608, "aux.acc_seg": 65.72856, "loss": 0.48443, "time": 0.40062} +{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.26961, "decode.acc_seg": 71.10455, "aux.loss_seg": 0.19915, "aux.acc_seg": 65.05019, "loss": 0.46876, "time": 0.40195} +{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.26752, "decode.acc_seg": 72.37333, "aux.loss_seg": 0.20223, "aux.acc_seg": 66.16944, "loss": 0.46975, "time": 0.40344} +{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.27162, "decode.acc_seg": 71.8616, "aux.loss_seg": 0.20901, "aux.acc_seg": 65.10627, "loss": 0.48063, "time": 0.40066} +{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27249, "decode.acc_seg": 70.88934, "aux.loss_seg": 0.20747, "aux.acc_seg": 64.5276, "loss": 0.47996, "time": 0.39811} +{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.276, "decode.acc_seg": 72.89698, "aux.loss_seg": 0.20415, "aux.acc_seg": 66.53991, "loss": 0.48015, "time": 0.40911} +{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.27305, "decode.acc_seg": 72.25659, "aux.loss_seg": 0.20726, "aux.acc_seg": 65.58462, "loss": 0.48031, "time": 0.40843} +{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.26549, "decode.acc_seg": 71.92413, "aux.loss_seg": 0.20716, "aux.acc_seg": 64.89511, "loss": 0.47265, "time": 0.40872} +{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.62215, "aux.loss_seg": 0.20439, "aux.acc_seg": 65.12905, "loss": 0.4704, "time": 0.40066} +{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.29315, "decode.acc_seg": 72.30104, "aux.loss_seg": 0.21641, "aux.acc_seg": 65.66507, "loss": 0.50957, "time": 0.3956} +{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26726, "decode.acc_seg": 72.34359, "aux.loss_seg": 0.20527, "aux.acc_seg": 66.12339, "loss": 0.47253, "time": 0.39487} +{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26679, "decode.acc_seg": 73.43947, "aux.loss_seg": 0.21225, "aux.acc_seg": 66.51362, "loss": 0.47904, "time": 0.41332} +{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 17837, "data_time": 0.24216, "decode.loss_seg": 0.26126, "decode.acc_seg": 72.50421, "aux.loss_seg": 0.20118, "aux.acc_seg": 66.13269, "loss": 0.46244, "time": 0.6409} +{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.26826, "decode.acc_seg": 71.76071, "aux.loss_seg": 0.2092, "aux.acc_seg": 64.87562, "loss": 0.47746, "time": 0.39569} +{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.26648, "decode.acc_seg": 73.36381, "aux.loss_seg": 0.20399, "aux.acc_seg": 66.76495, "loss": 0.47047, "time": 0.40515} +{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.26118, "decode.acc_seg": 72.25599, "aux.loss_seg": 0.20073, "aux.acc_seg": 66.01836, "loss": 0.46191, "time": 0.40518} +{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.259, "decode.acc_seg": 72.66715, "aux.loss_seg": 0.20021, "aux.acc_seg": 66.2367, "loss": 0.45921, "time": 0.39502} +{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.25004, "decode.acc_seg": 71.46386, "aux.loss_seg": 0.19419, "aux.acc_seg": 65.29246, "loss": 0.44423, "time": 0.3979} +{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.26115, "decode.acc_seg": 73.3582, "aux.loss_seg": 0.20863, "aux.acc_seg": 66.4126, "loss": 0.46979, "time": 0.39788} +{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.2555, "decode.acc_seg": 71.98895, "aux.loss_seg": 0.19724, "aux.acc_seg": 65.72654, "loss": 0.45275, "time": 0.39505} +{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.26111, "decode.acc_seg": 72.29853, "aux.loss_seg": 0.2009, "aux.acc_seg": 66.00704, "loss": 0.46201, "time": 0.41536} +{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.26831, "decode.acc_seg": 72.25373, "aux.loss_seg": 0.20472, "aux.acc_seg": 65.56219, "loss": 0.47303, "time": 0.40514} +{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.271, "decode.acc_seg": 72.97703, "aux.loss_seg": 0.20804, "aux.acc_seg": 66.41356, "loss": 0.47904, "time": 0.40408} +{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.27678, "decode.acc_seg": 70.2529, "aux.loss_seg": 0.20576, "aux.acc_seg": 64.01959, "loss": 0.48254, "time": 0.39767} +{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 17837, "data_time": 0.00701, "decode.loss_seg": 0.26546, "decode.acc_seg": 72.78985, "aux.loss_seg": 0.20834, "aux.acc_seg": 66.17935, "loss": 0.47379, "time": 0.40224} +{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 17837, "data_time": 0.00706, "decode.loss_seg": 0.28549, "decode.acc_seg": 72.67148, "aux.loss_seg": 0.21932, "aux.acc_seg": 66.15571, "loss": 0.50481, "time": 0.41851} +{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.26581, "decode.acc_seg": 71.93792, "aux.loss_seg": 0.2046, "aux.acc_seg": 65.35576, "loss": 0.47041, "time": 0.4209} +{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.25351, "decode.acc_seg": 72.25253, "aux.loss_seg": 0.20334, "aux.acc_seg": 65.48669, "loss": 0.45685, "time": 0.41753} +{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.27109, "decode.acc_seg": 72.77135, "aux.loss_seg": 0.21217, "aux.acc_seg": 65.66365, "loss": 0.48327, "time": 0.40017} +{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4514, "mAcc": 0.5715, "aAcc": 0.8094, "IoU.wall": 0.7492, "IoU.building": 0.8039, "IoU.sky": 0.9386, "IoU.floor": 0.7879, "IoU.tree": 0.7249, "IoU.ceiling": 0.8225, "IoU.road": 0.8037, "IoU.bed ": 0.8571, "IoU.windowpane": 0.592, "IoU.grass": 0.6429, "IoU.cabinet": 0.5737, "IoU.sidewalk": 0.6032, "IoU.person": 0.7547, "IoU.earth": 0.2922, "IoU.door": 0.4118, "IoU.table": 0.5391, "IoU.mountain": 0.5538, "IoU.plant": 0.4993, "IoU.curtain": 0.6697, "IoU.chair": 0.5012, "IoU.car": 0.8188, "IoU.water": 0.48, "IoU.painting": 0.6843, "IoU.sofa": 0.5466, "IoU.shelf": 0.3728, "IoU.house": 0.4517, "IoU.sea": 0.4964, "IoU.mirror": 0.5657, "IoU.rug": 0.6297, "IoU.field": 0.2498, "IoU.armchair": 0.3313, "IoU.seat": 0.601, "IoU.fence": 0.3619, "IoU.desk": 0.4711, "IoU.rock": 0.4249, "IoU.wardrobe": 0.4284, "IoU.lamp": 0.5614, "IoU.bathtub": 0.7291, "IoU.railing": 0.3404, "IoU.cushion": 0.5326, "IoU.base": 0.3075, "IoU.box": 0.2428, "IoU.column": 0.4151, "IoU.signboard": 0.3305, "IoU.chest of drawers": 0.3742, "IoU.counter": 0.2593, "IoU.sand": 0.3785, "IoU.sink": 0.6628, "IoU.skyscraper": 0.6809, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6622, "IoU.grandstand": 0.4764, "IoU.path": 0.1823, "IoU.stairs": 0.2864, "IoU.runway": 0.7123, "IoU.case": 0.437, "IoU.pool table": 0.9187, "IoU.pillow": 0.4987, "IoU.screen door": 0.5837, "IoU.stairway": 0.2552, "IoU.river": 0.1391, "IoU.bridge": 0.5246, "IoU.bookcase": 0.4391, "IoU.blind": NaN, "IoU.coffee table": 0.5385, "IoU.toilet": 0.798, "IoU.flower": 0.396, "IoU.book": 0.4018, "IoU.hill": 0.1132, "IoU.bench": 0.4051, "IoU.countertop": 0.5048, "IoU.stove": 0.6686, "IoU.palm": 0.4614, "IoU.kitchen island": 0.3674, "IoU.computer": 0.6377, "IoU.swivel chair": 0.4255, "IoU.boat": 0.4143, "IoU.bar": 0.287, "IoU.arcade machine": 0.3173, "IoU.hovel": 0.3553, "IoU.bus": 0.787, "IoU.towel": 0.5793, "IoU.light": 0.5008, "IoU.truck": 0.159, "IoU.tower": 0.2866, "IoU.chandelier": 0.6158, "IoU.awning": 0.2469, "IoU.streetlight": 0.1824, "IoU.booth": 0.5598, "IoU.television receiver": NaN, "IoU.airplane": 0.5225, "IoU.dirt track": 0.169, "IoU.apparel": 0.273, "IoU.pole": 0.1281, "IoU.land": 0.0479, "IoU.bannister": 0.0403, "IoU.escalator": 0.3189, "IoU.ottoman": 0.3728, "IoU.bottle": NaN, "IoU.buffet": 0.4527, "IoU.poster": 0.2605, "IoU.stage": 0.1227, "IoU.van": 0.3971, "IoU.ship": 0.4817, "IoU.fountain": 0.2446, "IoU.conveyer belt": 0.6626, "IoU.canopy": 0.2263, "IoU.washer": 0.6905, "IoU.plaything": 0.1661, "IoU.swimming pool": 0.5565, "IoU.stool": 0.3581, "IoU.barrel": 0.5023, "IoU.basket": 0.237, "IoU.waterfall": 0.609, "IoU.tent": 0.8875, "IoU.bag": 0.072, "IoU.minibike": 0.7188, "IoU.cradle": NaN, "IoU.oven": 0.3773, "IoU.ball": 0.4556, "IoU.food": 0.436, "IoU.step": 0.1224, "IoU.tank": 0.5452, "IoU.trade name": 0.2598, "IoU.microwave": 0.7567, "IoU.pot": 0.4571, "IoU.animal": NaN, "IoU.bicycle": 0.4886, "IoU.lake": 0.5745, "IoU.dishwasher": 0.563, "IoU.screen": 0.6865, "IoU.blanket": 0.1156, "IoU.sculpture": 0.5855, "IoU.hood": 0.5608, "IoU.sconce": 0.4058, "IoU.vase": 0.3227, "IoU.traffic light": 0.2391, "IoU.tray": 0.0836, "IoU.ashcan": 0.2848, "IoU.fan": 0.5255, "IoU.pier": 0.3463, "IoU.crt screen": 0.0428, "IoU.plate": 0.5235, "IoU.monitor": 0.0159, "IoU.bulletin board": 0.3277, "IoU.shower": 0.0166, "IoU.radiator": 0.5369, "IoU.glass": 0.1134, "IoU.clock": 0.3447, "IoU.flag": 0.3986, "Acc.wall": 0.8705, "Acc.building": 0.8977, "Acc.sky": 0.9728, "Acc.floor": 0.9055, "Acc.tree": 0.8675, "Acc.ceiling": 0.9233, "Acc.road": 0.8967, "Acc.bed ": 0.9453, "Acc.windowpane": 0.7491, "Acc.grass": 0.8401, "Acc.cabinet": 0.6797, "Acc.sidewalk": 0.7355, "Acc.person": 0.8981, "Acc.earth": 0.3694, "Acc.door": 0.5573, "Acc.table": 0.7131, "Acc.mountain": 0.7242, "Acc.plant": 0.6038, "Acc.curtain": 0.8304, "Acc.chair": 0.6648, "Acc.car": 0.9059, "Acc.water": 0.618, "Acc.painting": 0.8752, "Acc.sofa": 0.7281, "Acc.shelf": 0.5551, "Acc.house": 0.687, "Acc.sea": 0.756, "Acc.mirror": 0.6745, "Acc.rug": 0.6935, "Acc.field": 0.4407, "Acc.armchair": 0.4851, "Acc.seat": 0.7791, "Acc.fence": 0.4889, "Acc.desk": 0.6884, "Acc.rock": 0.6548, "Acc.wardrobe": 0.6359, "Acc.lamp": 0.6813, "Acc.bathtub": 0.786, "Acc.railing": 0.4928, "Acc.cushion": 0.697, "Acc.base": 0.4165, "Acc.box": 0.3138, "Acc.column": 0.5275, "Acc.signboard": 0.4938, "Acc.chest of drawers": 0.5547, "Acc.counter": 0.3163, "Acc.sand": 0.5034, "Acc.sink": 0.7813, "Acc.skyscraper": 0.8545, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8494, "Acc.grandstand": 0.7533, "Acc.path": 0.2595, "Acc.stairs": 0.3633, "Acc.runway": 0.922, "Acc.case": 0.5678, "Acc.pool table": 0.9592, "Acc.pillow": 0.5854, "Acc.screen door": 0.7724, "Acc.stairway": 0.3366, "Acc.river": 0.2758, "Acc.bridge": 0.6482, "Acc.bookcase": 0.5459, "Acc.blind": NaN, "Acc.coffee table": 0.7762, "Acc.toilet": 0.8689, "Acc.flower": 0.5189, "Acc.book": 0.6717, "Acc.hill": 0.1841, "Acc.bench": 0.5199, "Acc.countertop": 0.6287, "Acc.stove": 0.7847, "Acc.palm": 0.6439, "Acc.kitchen island": 0.6635, "Acc.computer": 0.8087, "Acc.swivel chair": 0.5509, "Acc.boat": 0.4926, "Acc.bar": 0.3578, "Acc.arcade machine": 0.3358, "Acc.hovel": 0.3807, "Acc.bus": 0.929, "Acc.towel": 0.7935, "Acc.light": 0.5835, "Acc.truck": 0.2269, "Acc.tower": 0.4603, "Acc.chandelier": 0.7591, "Acc.awning": 0.2964, "Acc.streetlight": 0.2473, "Acc.booth": 0.6217, "Acc.television receiver": NaN, "Acc.airplane": 0.6048, "Acc.dirt track": 0.327, "Acc.apparel": 0.4472, "Acc.pole": 0.1624, "Acc.land": 0.0579, "Acc.bannister": 0.0489, "Acc.escalator": 0.4491, "Acc.ottoman": 0.5803, "Acc.bottle": NaN, "Acc.buffet": 0.5327, "Acc.poster": 0.3446, "Acc.stage": 0.1798, "Acc.van": 0.531, "Acc.ship": 0.8093, "Acc.fountain": 0.2464, "Acc.conveyer belt": 0.7683, "Acc.canopy": 0.3077, "Acc.washer": 0.7249, "Acc.plaything": 0.2422, "Acc.swimming pool": 0.8296, "Acc.stool": 0.4709, "Acc.barrel": 0.644, "Acc.basket": 0.3114, "Acc.waterfall": 0.7744, "Acc.tent": 0.9852, "Acc.bag": 0.0926, "Acc.minibike": 0.8559, "Acc.cradle": NaN, "Acc.oven": 0.5311, "Acc.ball": 0.5238, "Acc.food": 0.5003, "Acc.step": 0.1498, "Acc.tank": 0.614, "Acc.trade name": 0.317, "Acc.microwave": 0.8585, "Acc.pot": 0.535, "Acc.animal": NaN, "Acc.bicycle": 0.7499, "Acc.lake": 0.6468, "Acc.dishwasher": 0.7285, "Acc.screen": 0.8829, "Acc.blanket": 0.1334, "Acc.sculpture": 0.7634, "Acc.hood": 0.6252, "Acc.sconce": 0.4754, "Acc.vase": 0.4304, "Acc.traffic light": 0.394, "Acc.tray": 0.1422, "Acc.ashcan": 0.3719, "Acc.fan": 0.6407, "Acc.pier": 0.4656, "Acc.crt screen": 0.1143, "Acc.plate": 0.6342, "Acc.monitor": 0.0178, "Acc.bulletin board": 0.3995, "Acc.shower": 0.0216, "Acc.radiator": 0.5918, "Acc.glass": 0.1249, "Acc.clock": 0.438, "Acc.flag": 0.4767} +{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 17837, "data_time": 1.45818, "decode.loss_seg": 0.26516, "decode.acc_seg": 71.78395, "aux.loss_seg": 0.20664, "aux.acc_seg": 65.22, "loss": 0.4718, "time": 1.86612} +{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.26765, "decode.acc_seg": 70.97651, "aux.loss_seg": 0.20554, "aux.acc_seg": 64.13464, "loss": 0.47319, "time": 0.40392} +{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 17837, "data_time": 0.00536, "decode.loss_seg": 0.25708, "decode.acc_seg": 71.80002, "aux.loss_seg": 0.20114, "aux.acc_seg": 65.38393, "loss": 0.45822, "time": 0.40222} +{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 17837, "data_time": 0.00539, "decode.loss_seg": 0.26052, "decode.acc_seg": 72.35718, "aux.loss_seg": 0.20264, "aux.acc_seg": 65.70897, "loss": 0.46316, "time": 0.40205} +{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 17837, "data_time": 0.00533, "decode.loss_seg": 0.26805, "decode.acc_seg": 72.03682, "aux.loss_seg": 0.21068, "aux.acc_seg": 65.34692, "loss": 0.47873, "time": 0.41082} +{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26238, "decode.acc_seg": 72.23785, "aux.loss_seg": 0.19758, "aux.acc_seg": 66.11143, "loss": 0.45996, "time": 0.40019} +{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.26316, "decode.acc_seg": 72.43347, "aux.loss_seg": 0.20769, "aux.acc_seg": 65.57346, "loss": 0.47085, "time": 0.41954} +{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.27596, "decode.acc_seg": 72.16587, "aux.loss_seg": 0.20798, "aux.acc_seg": 65.75189, "loss": 0.48394, "time": 0.40474} +{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 17837, "data_time": 0.24322, "decode.loss_seg": 0.27071, "decode.acc_seg": 72.72834, "aux.loss_seg": 0.20661, "aux.acc_seg": 66.23291, "loss": 0.47731, "time": 0.6321} +{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.26047, "decode.acc_seg": 72.39672, "aux.loss_seg": 0.2112, "aux.acc_seg": 65.32852, "loss": 0.47167, "time": 0.39304} +{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24335, "decode.acc_seg": 73.0102, "aux.loss_seg": 0.19101, "aux.acc_seg": 66.61267, "loss": 0.43437, "time": 0.39632} +{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.27507, "decode.acc_seg": 72.56939, "aux.loss_seg": 0.21165, "aux.acc_seg": 65.8347, "loss": 0.48672, "time": 0.41204} +{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.25599, "decode.acc_seg": 73.41922, "aux.loss_seg": 0.2017, "aux.acc_seg": 66.64156, "loss": 0.45769, "time": 0.41065} +{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.26967, "decode.acc_seg": 71.6899, "aux.loss_seg": 0.20504, "aux.acc_seg": 65.1372, "loss": 0.47471, "time": 0.40941} +{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.24849, "decode.acc_seg": 70.85944, "aux.loss_seg": 0.19767, "aux.acc_seg": 64.30762, "loss": 0.44616, "time": 0.4065} +{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.26947, "decode.acc_seg": 71.81006, "aux.loss_seg": 0.20197, "aux.acc_seg": 65.7926, "loss": 0.47143, "time": 0.40443} +{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.26802, "decode.acc_seg": 73.63355, "aux.loss_seg": 0.21512, "aux.acc_seg": 66.44019, "loss": 0.48314, "time": 0.39688} +{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.25089, "decode.acc_seg": 72.11607, "aux.loss_seg": 0.19396, "aux.acc_seg": 66.38641, "loss": 0.44485, "time": 0.4029} +{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27162, "decode.acc_seg": 72.8485, "aux.loss_seg": 0.2064, "aux.acc_seg": 66.48838, "loss": 0.47802, "time": 0.39447} +{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.25694, "decode.acc_seg": 71.04078, "aux.loss_seg": 0.20188, "aux.acc_seg": 64.65882, "loss": 0.45881, "time": 0.3977} +{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.25817, "decode.acc_seg": 71.48759, "aux.loss_seg": 0.20086, "aux.acc_seg": 64.95214, "loss": 0.45903, "time": 0.41214} +{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.26246, "decode.acc_seg": 71.42737, "aux.loss_seg": 0.1983, "aux.acc_seg": 65.09608, "loss": 0.46077, "time": 0.4104} +{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.26755, "decode.acc_seg": 72.1911, "aux.loss_seg": 0.19838, "aux.acc_seg": 66.214, "loss": 0.46594, "time": 0.39218} +{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.25698, "decode.acc_seg": 71.90579, "aux.loss_seg": 0.20989, "aux.acc_seg": 64.79233, "loss": 0.46687, "time": 0.395} +{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.2628, "decode.acc_seg": 72.1083, "aux.loss_seg": 0.20963, "aux.acc_seg": 65.32207, "loss": 0.47243, "time": 0.39803} +{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.27157, "decode.acc_seg": 72.40658, "aux.loss_seg": 0.20609, "aux.acc_seg": 66.1155, "loss": 0.47766, "time": 0.40508} +{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.26084, "decode.acc_seg": 71.60309, "aux.loss_seg": 0.20373, "aux.acc_seg": 64.97246, "loss": 0.46457, "time": 0.402} +{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25957, "decode.acc_seg": 73.34135, "aux.loss_seg": 0.20609, "aux.acc_seg": 66.30981, "loss": 0.46566, "time": 0.39495} +{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.26949, "decode.acc_seg": 72.00728, "aux.loss_seg": 0.20491, "aux.acc_seg": 65.46899, "loss": 0.47441, "time": 0.39331} +{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.26449, "decode.acc_seg": 72.3427, "aux.loss_seg": 0.20037, "aux.acc_seg": 66.04839, "loss": 0.46486, "time": 0.39916} +{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.2698, "decode.acc_seg": 71.94092, "aux.loss_seg": 0.20496, "aux.acc_seg": 65.43728, "loss": 0.47477, "time": 0.40606} +{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.26088, "decode.acc_seg": 72.14403, "aux.loss_seg": 0.20328, "aux.acc_seg": 65.76478, "loss": 0.46416, "time": 0.39962} +{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.26586, "decode.acc_seg": 71.73454, "aux.loss_seg": 0.2016, "aux.acc_seg": 65.53771, "loss": 0.46746, "time": 0.40195} +{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 17837, "data_time": 0.24372, "decode.loss_seg": 0.25312, "decode.acc_seg": 73.11267, "aux.loss_seg": 0.19229, "aux.acc_seg": 66.91159, "loss": 0.44541, "time": 0.63456} +{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.26764, "decode.acc_seg": 72.00708, "aux.loss_seg": 0.21101, "aux.acc_seg": 65.24388, "loss": 0.47865, "time": 0.41023} +{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.26402, "decode.acc_seg": 72.08461, "aux.loss_seg": 0.20381, "aux.acc_seg": 65.48899, "loss": 0.46784, "time": 0.42349} +{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.25452, "decode.acc_seg": 73.01318, "aux.loss_seg": 0.19926, "aux.acc_seg": 66.76893, "loss": 0.45378, "time": 0.40701} +{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25683, "decode.acc_seg": 71.05747, "aux.loss_seg": 0.19863, "aux.acc_seg": 64.11771, "loss": 0.45546, "time": 0.40235} +{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25515, "decode.acc_seg": 71.98504, "aux.loss_seg": 0.19699, "aux.acc_seg": 65.39294, "loss": 0.45214, "time": 0.3974} +{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.25705, "decode.acc_seg": 71.66851, "aux.loss_seg": 0.20247, "aux.acc_seg": 64.9938, "loss": 0.45952, "time": 0.4115} +{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26425, "decode.acc_seg": 71.84628, "aux.loss_seg": 0.2079, "aux.acc_seg": 65.08413, "loss": 0.47214, "time": 0.40259} +{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.27711, "decode.acc_seg": 72.61956, "aux.loss_seg": 0.2221, "aux.acc_seg": 65.46999, "loss": 0.4992, "time": 0.39651} +{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26453, "decode.acc_seg": 70.97055, "aux.loss_seg": 0.20512, "aux.acc_seg": 64.63833, "loss": 0.46965, "time": 0.39385} +{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.25443, "decode.acc_seg": 72.25632, "aux.loss_seg": 0.20342, "aux.acc_seg": 65.41114, "loss": 0.45785, "time": 0.39715} +{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25696, "decode.acc_seg": 71.30509, "aux.loss_seg": 0.19187, "aux.acc_seg": 65.5837, "loss": 0.44883, "time": 0.40781} +{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.26993, "decode.acc_seg": 71.12748, "aux.loss_seg": 0.19936, "aux.acc_seg": 65.04405, "loss": 0.46928, "time": 0.39309} +{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.2559, "decode.acc_seg": 72.58085, "aux.loss_seg": 0.1938, "aux.acc_seg": 66.56896, "loss": 0.4497, "time": 0.39533} +{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24941, "decode.acc_seg": 72.21765, "aux.loss_seg": 0.19481, "aux.acc_seg": 65.69695, "loss": 0.44422, "time": 0.39331} +{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.26294, "decode.acc_seg": 71.6718, "aux.loss_seg": 0.20297, "aux.acc_seg": 65.28832, "loss": 0.46591, "time": 0.41049} +{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.26618, "decode.acc_seg": 72.08605, "aux.loss_seg": 0.2027, "aux.acc_seg": 65.86133, "loss": 0.46888, "time": 0.39694} +{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.25673, "decode.acc_seg": 73.86263, "aux.loss_seg": 0.20236, "aux.acc_seg": 67.38241, "loss": 0.45909, "time": 0.3957} +{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24766, "decode.acc_seg": 72.60107, "aux.loss_seg": 0.19616, "aux.acc_seg": 65.94061, "loss": 0.44382, "time": 0.39836} +{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.25718, "decode.acc_seg": 72.66039, "aux.loss_seg": 0.2026, "aux.acc_seg": 65.79286, "loss": 0.45978, "time": 0.40995} +{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.25715, "decode.acc_seg": 72.2186, "aux.loss_seg": 0.20101, "aux.acc_seg": 65.43083, "loss": 0.45816, "time": 0.41314} +{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27468, "decode.acc_seg": 70.53923, "aux.loss_seg": 0.20571, "aux.acc_seg": 64.53584, "loss": 0.48039, "time": 0.39398} +{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25763, "decode.acc_seg": 72.65541, "aux.loss_seg": 0.19515, "aux.acc_seg": 66.31156, "loss": 0.45279, "time": 0.3961} +{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.25977, "decode.acc_seg": 71.04844, "aux.loss_seg": 0.19946, "aux.acc_seg": 64.60999, "loss": 0.45923, "time": 0.39686} +{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.26567, "decode.acc_seg": 72.65417, "aux.loss_seg": 0.21549, "aux.acc_seg": 65.58339, "loss": 0.48115, "time": 0.41357} +{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 17837, "data_time": 0.24194, "decode.loss_seg": 0.25531, "decode.acc_seg": 72.83587, "aux.loss_seg": 0.1924, "aux.acc_seg": 66.83406, "loss": 0.44771, "time": 0.6518} +{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.25124, "decode.acc_seg": 72.33596, "aux.loss_seg": 0.19741, "aux.acc_seg": 65.61077, "loss": 0.44866, "time": 0.40209} +{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.25811, "decode.acc_seg": 72.1459, "aux.loss_seg": 0.20342, "aux.acc_seg": 65.47195, "loss": 0.46152, "time": 0.39491} +{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.26323, "decode.acc_seg": 71.60862, "aux.loss_seg": 0.20418, "aux.acc_seg": 65.15383, "loss": 0.46741, "time": 0.39701} +{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25564, "decode.acc_seg": 71.53811, "aux.loss_seg": 0.19864, "aux.acc_seg": 65.04072, "loss": 0.45429, "time": 0.40232} +{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25046, "decode.acc_seg": 72.07957, "aux.loss_seg": 0.19021, "aux.acc_seg": 66.25164, "loss": 0.44067, "time": 0.40752} +{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.24776, "decode.acc_seg": 73.92338, "aux.loss_seg": 0.19312, "aux.acc_seg": 67.62749, "loss": 0.44088, "time": 0.39863} +{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.26501, "decode.acc_seg": 72.66537, "aux.loss_seg": 0.21046, "aux.acc_seg": 65.8025, "loss": 0.47547, "time": 0.39318} +{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.2579, "decode.acc_seg": 71.8378, "aux.loss_seg": 0.1929, "aux.acc_seg": 65.79506, "loss": 0.4508, "time": 0.39503} +{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.27062, "decode.acc_seg": 72.53206, "aux.loss_seg": 0.20333, "aux.acc_seg": 66.53862, "loss": 0.47395, "time": 0.39715} +{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.28433, "decode.acc_seg": 72.56086, "aux.loss_seg": 0.21707, "aux.acc_seg": 65.77097, "loss": 0.5014, "time": 0.39167} +{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24259, "decode.acc_seg": 73.34729, "aux.loss_seg": 0.18955, "aux.acc_seg": 67.41424, "loss": 0.43214, "time": 0.41142} +{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.26494, "decode.acc_seg": 72.00879, "aux.loss_seg": 0.20859, "aux.acc_seg": 65.0164, "loss": 0.47353, "time": 0.41991} +{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25798, "decode.acc_seg": 72.65382, "aux.loss_seg": 0.20988, "aux.acc_seg": 65.34463, "loss": 0.46787, "time": 0.40859} +{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.25185, "decode.acc_seg": 71.48075, "aux.loss_seg": 0.20343, "aux.acc_seg": 64.53652, "loss": 0.45528, "time": 0.41193} +{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.28, "decode.acc_seg": 72.50446, "aux.loss_seg": 0.21534, "aux.acc_seg": 65.52864, "loss": 0.49534, "time": 0.39968} +{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26242, "decode.acc_seg": 72.85475, "aux.loss_seg": 0.1998, "aux.acc_seg": 66.4993, "loss": 0.46222, "time": 0.39798} +{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.27264, "decode.acc_seg": 72.86797, "aux.loss_seg": 0.21043, "aux.acc_seg": 66.1428, "loss": 0.48307, "time": 0.39619} +{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.24656, "decode.acc_seg": 72.62514, "aux.loss_seg": 0.19289, "aux.acc_seg": 66.40548, "loss": 0.43945, "time": 0.39617} +{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.27981, "decode.acc_seg": 72.18685, "aux.loss_seg": 0.20801, "aux.acc_seg": 65.9428, "loss": 0.48782, "time": 0.39623} +{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.26643, "decode.acc_seg": 73.48265, "aux.loss_seg": 0.20706, "aux.acc_seg": 66.82085, "loss": 0.4735, "time": 0.40593} +{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.25971, "decode.acc_seg": 72.95546, "aux.loss_seg": 0.20146, "aux.acc_seg": 66.46611, "loss": 0.46116, "time": 0.40522} +{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.26356, "decode.acc_seg": 73.12818, "aux.loss_seg": 0.20187, "aux.acc_seg": 66.67891, "loss": 0.46544, "time": 0.40338} +{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.26791, "decode.acc_seg": 72.40342, "aux.loss_seg": 0.205, "aux.acc_seg": 65.87243, "loss": 0.47291, "time": 0.39408} +{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25823, "decode.acc_seg": 73.01969, "aux.loss_seg": 0.20128, "aux.acc_seg": 66.4721, "loss": 0.45951, "time": 0.39332} +{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 17837, "data_time": 0.2443, "decode.loss_seg": 0.25012, "decode.acc_seg": 70.92006, "aux.loss_seg": 0.20285, "aux.acc_seg": 64.10437, "loss": 0.45297, "time": 0.63082} +{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.25728, "decode.acc_seg": 72.51673, "aux.loss_seg": 0.20676, "aux.acc_seg": 65.49631, "loss": 0.46404, "time": 0.39289} +{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.24543, "decode.acc_seg": 73.07814, "aux.loss_seg": 0.18947, "aux.acc_seg": 67.09433, "loss": 0.4349, "time": 0.40477} +{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26189, "decode.acc_seg": 72.08124, "aux.loss_seg": 0.19739, "aux.acc_seg": 65.9059, "loss": 0.45927, "time": 0.40752} +{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.26024, "decode.acc_seg": 72.35472, "aux.loss_seg": 0.20373, "aux.acc_seg": 65.58016, "loss": 0.46397, "time": 0.40747} +{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.25224, "decode.acc_seg": 72.83984, "aux.loss_seg": 0.19558, "aux.acc_seg": 66.62858, "loss": 0.44782, "time": 0.40516} +{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.25857, "decode.acc_seg": 72.70421, "aux.loss_seg": 0.2, "aux.acc_seg": 66.42651, "loss": 0.45857, "time": 0.41466} +{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.25328, "decode.acc_seg": 72.44133, "aux.loss_seg": 0.19484, "aux.acc_seg": 66.16381, "loss": 0.44812, "time": 0.4156} +{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.26553, "decode.acc_seg": 71.7547, "aux.loss_seg": 0.21184, "aux.acc_seg": 64.6072, "loss": 0.47737, "time": 0.41614} +{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.27858, "decode.acc_seg": 73.35293, "aux.loss_seg": 0.21674, "aux.acc_seg": 66.52793, "loss": 0.49532, "time": 0.41202} +{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.26899, "decode.acc_seg": 73.90074, "aux.loss_seg": 0.20595, "aux.acc_seg": 67.43177, "loss": 0.47494, "time": 0.39444} +{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24991, "decode.acc_seg": 69.52129, "aux.loss_seg": 0.19542, "aux.acc_seg": 63.18434, "loss": 0.44533, "time": 0.40633} +{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.25441, "decode.acc_seg": 73.64683, "aux.loss_seg": 0.20241, "aux.acc_seg": 66.67964, "loss": 0.45682, "time": 0.4031} +{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.25283, "decode.acc_seg": 72.1791, "aux.loss_seg": 0.19364, "aux.acc_seg": 66.16056, "loss": 0.44647, "time": 0.40044} +{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.26369, "decode.acc_seg": 72.32161, "aux.loss_seg": 0.20887, "aux.acc_seg": 65.32209, "loss": 0.47255, "time": 0.40811} +{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24511, "decode.acc_seg": 71.29649, "aux.loss_seg": 0.19674, "aux.acc_seg": 64.64121, "loss": 0.44185, "time": 0.39492} +{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27043, "decode.acc_seg": 72.82248, "aux.loss_seg": 0.21115, "aux.acc_seg": 66.05875, "loss": 0.48159, "time": 0.39347} +{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.25758, "decode.acc_seg": 73.27175, "aux.loss_seg": 0.2021, "aux.acc_seg": 66.52532, "loss": 0.45968, "time": 0.39763} +{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 17837, "data_time": 0.00695, "decode.loss_seg": 0.25515, "decode.acc_seg": 71.91747, "aux.loss_seg": 0.19393, "aux.acc_seg": 66.02918, "loss": 0.44908, "time": 0.41698} +{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.24652, "decode.acc_seg": 73.22572, "aux.loss_seg": 0.19455, "aux.acc_seg": 66.60427, "loss": 0.44107, "time": 0.39455} +{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.25017, "decode.acc_seg": 72.46737, "aux.loss_seg": 0.19605, "aux.acc_seg": 65.92189, "loss": 0.44622, "time": 0.39823} +{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.25969, "decode.acc_seg": 71.73114, "aux.loss_seg": 0.19436, "aux.acc_seg": 65.60837, "loss": 0.45405, "time": 0.39653} +{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.25485, "decode.acc_seg": 72.37139, "aux.loss_seg": 0.19809, "aux.acc_seg": 66.14653, "loss": 0.45295, "time": 0.39604} +{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25547, "decode.acc_seg": 70.9537, "aux.loss_seg": 0.20439, "aux.acc_seg": 64.14553, "loss": 0.45986, "time": 0.39679} +{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27861, "decode.acc_seg": 71.26559, "aux.loss_seg": 0.21292, "aux.acc_seg": 64.71683, "loss": 0.49153, "time": 0.39443} +{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.26805, "decode.acc_seg": 72.13118, "aux.loss_seg": 0.21556, "aux.acc_seg": 64.75749, "loss": 0.48361, "time": 0.39543} +{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 17837, "data_time": 0.23965, "decode.loss_seg": 0.26294, "decode.acc_seg": 71.55539, "aux.loss_seg": 0.20198, "aux.acc_seg": 65.19436, "loss": 0.46491, "time": 0.6231} +{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.24985, "decode.acc_seg": 71.10871, "aux.loss_seg": 0.19689, "aux.acc_seg": 64.54031, "loss": 0.44673, "time": 0.39872} +{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26318, "decode.acc_seg": 72.04857, "aux.loss_seg": 0.21053, "aux.acc_seg": 64.67469, "loss": 0.47371, "time": 0.39306} +{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24967, "decode.acc_seg": 71.24219, "aux.loss_seg": 0.19293, "aux.acc_seg": 64.97072, "loss": 0.4426, "time": 0.39681} +{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.25628, "decode.acc_seg": 73.41452, "aux.loss_seg": 0.20055, "aux.acc_seg": 66.92948, "loss": 0.45683, "time": 0.39786} +{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.24511, "decode.acc_seg": 72.23688, "aux.loss_seg": 0.19748, "aux.acc_seg": 65.82969, "loss": 0.44259, "time": 0.40403} +{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.26245, "decode.acc_seg": 72.90633, "aux.loss_seg": 0.20384, "aux.acc_seg": 66.48114, "loss": 0.46629, "time": 0.39771} +{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.26465, "decode.acc_seg": 72.6432, "aux.loss_seg": 0.20563, "aux.acc_seg": 66.06112, "loss": 0.47028, "time": 0.41355} +{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.2636, "decode.acc_seg": 72.98371, "aux.loss_seg": 0.19832, "aux.acc_seg": 66.88312, "loss": 0.46192, "time": 0.40459} +{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.24992, "decode.acc_seg": 71.52925, "aux.loss_seg": 0.19676, "aux.acc_seg": 65.12489, "loss": 0.44667, "time": 0.39982} +{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26336, "decode.acc_seg": 71.84241, "aux.loss_seg": 0.20104, "aux.acc_seg": 65.44878, "loss": 0.46441, "time": 0.39647} +{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25668, "decode.acc_seg": 72.34351, "aux.loss_seg": 0.19901, "aux.acc_seg": 65.73494, "loss": 0.45568, "time": 0.39798} +{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25544, "decode.acc_seg": 72.86505, "aux.loss_seg": 0.19835, "aux.acc_seg": 66.2826, "loss": 0.45379, "time": 0.40325} +{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25758, "decode.acc_seg": 71.36052, "aux.loss_seg": 0.19648, "aux.acc_seg": 64.98847, "loss": 0.45406, "time": 0.41095} +{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.26539, "decode.acc_seg": 70.54631, "aux.loss_seg": 0.20948, "aux.acc_seg": 63.53832, "loss": 0.47487, "time": 0.40664} +{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.26607, "decode.acc_seg": 72.2424, "aux.loss_seg": 0.20007, "aux.acc_seg": 66.11869, "loss": 0.46613, "time": 0.39446} +{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25005, "decode.acc_seg": 72.70892, "aux.loss_seg": 0.19807, "aux.acc_seg": 66.01704, "loss": 0.44812, "time": 0.39471} +{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25779, "decode.acc_seg": 71.37601, "aux.loss_seg": 0.19253, "aux.acc_seg": 65.4738, "loss": 0.45031, "time": 0.39238} +{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26061, "decode.acc_seg": 72.47362, "aux.loss_seg": 0.20541, "aux.acc_seg": 65.8113, "loss": 0.46602, "time": 0.39532} +{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.25819, "decode.acc_seg": 73.67528, "aux.loss_seg": 0.20627, "aux.acc_seg": 66.89441, "loss": 0.46446, "time": 0.40012} +{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 17837, "data_time": 0.00709, "decode.loss_seg": 0.25821, "decode.acc_seg": 71.3841, "aux.loss_seg": 0.20756, "aux.acc_seg": 64.43417, "loss": 0.46576, "time": 0.40717} +{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.27293, "decode.acc_seg": 73.39661, "aux.loss_seg": 0.21555, "aux.acc_seg": 66.35784, "loss": 0.48848, "time": 0.40365} +{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.26292, "decode.acc_seg": 71.90526, "aux.loss_seg": 0.20546, "aux.acc_seg": 65.27054, "loss": 0.46838, "time": 0.39738} +{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25672, "decode.acc_seg": 71.76854, "aux.loss_seg": 0.19881, "aux.acc_seg": 65.19222, "loss": 0.45553, "time": 0.39916} +{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25483, "decode.acc_seg": 72.96817, "aux.loss_seg": 0.19898, "aux.acc_seg": 66.32212, "loss": 0.45381, "time": 0.39541} +{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 17837, "data_time": 0.24835, "decode.loss_seg": 0.2594, "decode.acc_seg": 71.75733, "aux.loss_seg": 0.20032, "aux.acc_seg": 65.30197, "loss": 0.45971, "time": 0.64754} +{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.26488, "decode.acc_seg": 73.70724, "aux.loss_seg": 0.20682, "aux.acc_seg": 66.78696, "loss": 0.4717, "time": 0.40905} +{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.25368, "decode.acc_seg": 73.5334, "aux.loss_seg": 0.19753, "aux.acc_seg": 67.11846, "loss": 0.45122, "time": 0.40368} +{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.25777, "decode.acc_seg": 73.33139, "aux.loss_seg": 0.20646, "aux.acc_seg": 66.5175, "loss": 0.46423, "time": 0.40103} +{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.25465, "decode.acc_seg": 71.42347, "aux.loss_seg": 0.20541, "aux.acc_seg": 64.33168, "loss": 0.46006, "time": 0.40843} +{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24963, "decode.acc_seg": 73.17296, "aux.loss_seg": 0.19444, "aux.acc_seg": 66.79417, "loss": 0.44408, "time": 0.40752} +{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2592, "decode.acc_seg": 73.83778, "aux.loss_seg": 0.20459, "aux.acc_seg": 67.06277, "loss": 0.46379, "time": 0.40571} +{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.25694, "decode.acc_seg": 71.71731, "aux.loss_seg": 0.19594, "aux.acc_seg": 65.48834, "loss": 0.45289, "time": 0.40806} +{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.26751, "decode.acc_seg": 72.47616, "aux.loss_seg": 0.21056, "aux.acc_seg": 65.84756, "loss": 0.47807, "time": 0.39482} +{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24486, "decode.acc_seg": 71.47121, "aux.loss_seg": 0.18857, "aux.acc_seg": 65.30155, "loss": 0.43343, "time": 0.39698} +{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.24587, "decode.acc_seg": 72.18696, "aux.loss_seg": 0.19445, "aux.acc_seg": 65.80441, "loss": 0.44032, "time": 0.39567} +{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.25206, "decode.acc_seg": 72.25595, "aux.loss_seg": 0.1912, "aux.acc_seg": 66.43627, "loss": 0.44326, "time": 0.39884} +{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.25413, "decode.acc_seg": 71.16064, "aux.loss_seg": 0.19647, "aux.acc_seg": 64.74524, "loss": 0.4506, "time": 0.41807} +{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25398, "decode.acc_seg": 71.60032, "aux.loss_seg": 0.20843, "aux.acc_seg": 64.4913, "loss": 0.46241, "time": 0.40015} +{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.25446, "decode.acc_seg": 71.92274, "aux.loss_seg": 0.20024, "aux.acc_seg": 65.42619, "loss": 0.45471, "time": 0.40014} +{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26522, "decode.acc_seg": 72.8169, "aux.loss_seg": 0.20731, "aux.acc_seg": 66.57059, "loss": 0.47253, "time": 0.39295} +{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26041, "decode.acc_seg": 72.92815, "aux.loss_seg": 0.2074, "aux.acc_seg": 65.84708, "loss": 0.46781, "time": 0.39277} +{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.24598, "decode.acc_seg": 73.41195, "aux.loss_seg": 0.19663, "aux.acc_seg": 66.74947, "loss": 0.44262, "time": 0.40448} +{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25331, "decode.acc_seg": 72.73354, "aux.loss_seg": 0.19829, "aux.acc_seg": 66.23556, "loss": 0.4516, "time": 0.39274} +{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.25784, "decode.acc_seg": 73.29221, "aux.loss_seg": 0.20289, "aux.acc_seg": 66.53364, "loss": 0.46074, "time": 0.39282} +{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.24336, "decode.acc_seg": 73.07961, "aux.loss_seg": 0.19541, "aux.acc_seg": 66.58779, "loss": 0.43877, "time": 0.39507} +{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.25972, "decode.acc_seg": 72.40885, "aux.loss_seg": 0.19847, "aux.acc_seg": 66.30906, "loss": 0.45818, "time": 0.40533} +{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.26001, "decode.acc_seg": 71.49832, "aux.loss_seg": 0.21186, "aux.acc_seg": 64.14971, "loss": 0.47188, "time": 0.40586} +{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.24968, "decode.acc_seg": 72.59757, "aux.loss_seg": 0.19822, "aux.acc_seg": 65.9319, "loss": 0.4479, "time": 0.40212} +{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25979, "decode.acc_seg": 72.74932, "aux.loss_seg": 0.20534, "aux.acc_seg": 65.81649, "loss": 0.46513, "time": 0.40864} +{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 17837, "data_time": 0.24277, "decode.loss_seg": 0.25801, "decode.acc_seg": 71.26523, "aux.loss_seg": 0.19904, "aux.acc_seg": 64.8518, "loss": 0.45705, "time": 0.63136} +{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.2478, "decode.acc_seg": 71.98278, "aux.loss_seg": 0.19807, "aux.acc_seg": 65.29124, "loss": 0.44588, "time": 0.39717} +{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.26887, "decode.acc_seg": 72.66319, "aux.loss_seg": 0.21685, "aux.acc_seg": 65.40392, "loss": 0.48572, "time": 0.4048} +{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25358, "decode.acc_seg": 72.73259, "aux.loss_seg": 0.19651, "aux.acc_seg": 66.42228, "loss": 0.45009, "time": 0.40398} +{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 17837, "data_time": 0.00705, "decode.loss_seg": 0.25201, "decode.acc_seg": 72.88201, "aux.loss_seg": 0.20141, "aux.acc_seg": 66.07965, "loss": 0.45342, "time": 0.4105} +{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.25175, "decode.acc_seg": 72.54707, "aux.loss_seg": 0.19603, "aux.acc_seg": 66.25801, "loss": 0.44778, "time": 0.41787} +{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24348, "decode.acc_seg": 71.99846, "aux.loss_seg": 0.19207, "aux.acc_seg": 65.68085, "loss": 0.43556, "time": 0.39713} +{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25314, "decode.acc_seg": 74.09579, "aux.loss_seg": 0.19993, "aux.acc_seg": 67.58584, "loss": 0.45307, "time": 0.39705} +{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25161, "decode.acc_seg": 72.22455, "aux.loss_seg": 0.19496, "aux.acc_seg": 65.86952, "loss": 0.44657, "time": 0.3963} +{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25103, "decode.acc_seg": 72.4859, "aux.loss_seg": 0.20178, "aux.acc_seg": 65.48607, "loss": 0.45282, "time": 0.39313} +{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26652, "decode.acc_seg": 72.73879, "aux.loss_seg": 0.20663, "aux.acc_seg": 66.0704, "loss": 0.47315, "time": 0.39237} +{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27008, "decode.acc_seg": 74.18785, "aux.loss_seg": 0.21507, "aux.acc_seg": 67.32659, "loss": 0.48515, "time": 0.39153} +{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24835, "decode.acc_seg": 72.92041, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.5615, "loss": 0.44273, "time": 0.40367} +{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.26003, "decode.acc_seg": 72.6114, "aux.loss_seg": 0.2053, "aux.acc_seg": 65.26118, "loss": 0.46533, "time": 0.39348} +{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25907, "decode.acc_seg": 71.51988, "aux.loss_seg": 0.21084, "aux.acc_seg": 64.51238, "loss": 0.46991, "time": 0.39429} +{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24092, "decode.acc_seg": 71.89641, "aux.loss_seg": 0.19468, "aux.acc_seg": 65.18143, "loss": 0.4356, "time": 0.39656} +{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.26055, "decode.acc_seg": 73.06777, "aux.loss_seg": 0.19508, "aux.acc_seg": 66.98668, "loss": 0.45563, "time": 0.41567} +{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.26291, "decode.acc_seg": 73.20387, "aux.loss_seg": 0.19874, "aux.acc_seg": 67.07243, "loss": 0.46165, "time": 0.39587} +{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.25875, "decode.acc_seg": 73.97051, "aux.loss_seg": 0.19863, "aux.acc_seg": 67.47559, "loss": 0.45738, "time": 0.39518} +{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.25513, "decode.acc_seg": 72.81701, "aux.loss_seg": 0.20491, "aux.acc_seg": 65.82163, "loss": 0.46005, "time": 0.39439} +{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.25334, "decode.acc_seg": 73.64848, "aux.loss_seg": 0.2019, "aux.acc_seg": 67.01378, "loss": 0.45525, "time": 0.39652} +{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25533, "decode.acc_seg": 72.74845, "aux.loss_seg": 0.19817, "aux.acc_seg": 66.23493, "loss": 0.45349, "time": 0.41524} +{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24969, "decode.acc_seg": 71.83091, "aux.loss_seg": 0.19908, "aux.acc_seg": 65.4253, "loss": 0.44877, "time": 0.4107} +{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25216, "decode.acc_seg": 71.62331, "aux.loss_seg": 0.19452, "aux.acc_seg": 65.18244, "loss": 0.44668, "time": 0.40992} +{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25014, "decode.acc_seg": 72.18228, "aux.loss_seg": 0.18683, "aux.acc_seg": 66.37757, "loss": 0.43697, "time": 0.39707} +{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 17837, "data_time": 0.24294, "decode.loss_seg": 0.24396, "decode.acc_seg": 72.5815, "aux.loss_seg": 0.19074, "aux.acc_seg": 66.41983, "loss": 0.4347, "time": 0.63177} +{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.24398, "decode.acc_seg": 71.79998, "aux.loss_seg": 0.19437, "aux.acc_seg": 65.32029, "loss": 0.43835, "time": 0.39869} +{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.25434, "decode.acc_seg": 71.98134, "aux.loss_seg": 0.19812, "aux.acc_seg": 65.45359, "loss": 0.45246, "time": 0.39732} +{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.24605, "decode.acc_seg": 73.03053, "aux.loss_seg": 0.195, "aux.acc_seg": 66.55533, "loss": 0.44105, "time": 0.39635} +{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.25403, "decode.acc_seg": 73.4038, "aux.loss_seg": 0.19661, "aux.acc_seg": 66.87517, "loss": 0.45064, "time": 0.40401} +{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.25153, "decode.acc_seg": 72.46985, "aux.loss_seg": 0.19762, "aux.acc_seg": 65.92349, "loss": 0.44915, "time": 0.39641} +{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.24818, "decode.acc_seg": 73.19933, "aux.loss_seg": 0.18505, "aux.acc_seg": 67.55086, "loss": 0.43323, "time": 0.40066} +{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.2563, "decode.acc_seg": 74.04749, "aux.loss_seg": 0.20231, "aux.acc_seg": 67.28782, "loss": 0.45861, "time": 0.39532} +{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25257, "decode.acc_seg": 72.23044, "aux.loss_seg": 0.19811, "aux.acc_seg": 65.65719, "loss": 0.45068, "time": 0.39437} +{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.24231, "decode.acc_seg": 72.71716, "aux.loss_seg": 0.19332, "aux.acc_seg": 66.10086, "loss": 0.43562, "time": 0.39547} +{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.25206, "decode.acc_seg": 72.16498, "aux.loss_seg": 0.19917, "aux.acc_seg": 65.78284, "loss": 0.45123, "time": 0.41415} +{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25227, "decode.acc_seg": 72.36268, "aux.loss_seg": 0.20409, "aux.acc_seg": 65.67915, "loss": 0.45636, "time": 0.39804} +{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25092, "decode.acc_seg": 73.29776, "aux.loss_seg": 0.19733, "aux.acc_seg": 67.12012, "loss": 0.44825, "time": 0.39628} +{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.25755, "decode.acc_seg": 73.42108, "aux.loss_seg": 0.20679, "aux.acc_seg": 66.36195, "loss": 0.46435, "time": 0.39548} +{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.25214, "decode.acc_seg": 73.20892, "aux.loss_seg": 0.19497, "aux.acc_seg": 66.6704, "loss": 0.44711, "time": 0.41903} +{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.25076, "decode.acc_seg": 72.65218, "aux.loss_seg": 0.19765, "aux.acc_seg": 65.86633, "loss": 0.44841, "time": 0.40953} +{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25808, "decode.acc_seg": 72.32344, "aux.loss_seg": 0.20479, "aux.acc_seg": 65.50167, "loss": 0.46287, "time": 0.41227} +{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.25124, "decode.acc_seg": 72.04278, "aux.loss_seg": 0.19691, "aux.acc_seg": 65.70214, "loss": 0.44815, "time": 0.41118} +{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.25897, "decode.acc_seg": 71.93546, "aux.loss_seg": 0.19756, "aux.acc_seg": 65.73143, "loss": 0.45653, "time": 0.4082} +{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24478, "decode.acc_seg": 73.55508, "aux.loss_seg": 0.19435, "aux.acc_seg": 67.05087, "loss": 0.43913, "time": 0.39557} +{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.22799, "decode.acc_seg": 72.19184, "aux.loss_seg": 0.18563, "aux.acc_seg": 65.98626, "loss": 0.41362, "time": 0.39545} +{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25706, "decode.acc_seg": 73.05976, "aux.loss_seg": 0.19212, "aux.acc_seg": 67.01841, "loss": 0.44919, "time": 0.40815} +{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.26116, "decode.acc_seg": 70.70404, "aux.loss_seg": 0.20336, "aux.acc_seg": 64.21482, "loss": 0.46452, "time": 0.41312} +{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.25637, "decode.acc_seg": 72.32349, "aux.loss_seg": 0.20054, "aux.acc_seg": 65.56863, "loss": 0.45691, "time": 0.39293} +{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26364, "decode.acc_seg": 71.43181, "aux.loss_seg": 0.2058, "aux.acc_seg": 64.70484, "loss": 0.46944, "time": 0.39985} +{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24802, "decode.acc_seg": 71.86363, "aux.loss_seg": 0.19985, "aux.acc_seg": 65.34856, "loss": 0.44787, "time": 0.39758} +{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 17837, "data_time": 0.24293, "decode.loss_seg": 0.26308, "decode.acc_seg": 73.42306, "aux.loss_seg": 0.20887, "aux.acc_seg": 66.46174, "loss": 0.47195, "time": 0.64378} +{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25673, "decode.acc_seg": 72.1934, "aux.loss_seg": 0.2007, "aux.acc_seg": 65.41913, "loss": 0.45743, "time": 0.41651} +{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.24466, "decode.acc_seg": 72.01313, "aux.loss_seg": 0.18985, "aux.acc_seg": 65.7606, "loss": 0.43451, "time": 0.39684} +{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.2569, "decode.acc_seg": 72.50372, "aux.loss_seg": 0.20113, "aux.acc_seg": 66.06267, "loss": 0.45803, "time": 0.39596} +{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.26221, "decode.acc_seg": 72.05096, "aux.loss_seg": 0.20485, "aux.acc_seg": 65.78493, "loss": 0.46705, "time": 0.39524} +{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25427, "decode.acc_seg": 72.89618, "aux.loss_seg": 0.20038, "aux.acc_seg": 66.26366, "loss": 0.45465, "time": 0.4053} +{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.25395, "decode.acc_seg": 73.70552, "aux.loss_seg": 0.1956, "aux.acc_seg": 67.48766, "loss": 0.44955, "time": 0.40582} +{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 17837, "data_time": 0.00696, "decode.loss_seg": 0.25673, "decode.acc_seg": 72.56625, "aux.loss_seg": 0.19997, "aux.acc_seg": 65.88651, "loss": 0.4567, "time": 0.41944} +{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.25465, "decode.acc_seg": 71.92618, "aux.loss_seg": 0.20295, "aux.acc_seg": 65.42709, "loss": 0.45759, "time": 0.41898} +{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 17837, "data_time": 0.00662, "decode.loss_seg": 0.258, "decode.acc_seg": 71.22363, "aux.loss_seg": 0.20363, "aux.acc_seg": 64.82514, "loss": 0.46163, "time": 0.41911} +{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.24485, "decode.acc_seg": 71.53557, "aux.loss_seg": 0.19631, "aux.acc_seg": 64.84057, "loss": 0.44116, "time": 0.41626} +{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24742, "decode.acc_seg": 72.51588, "aux.loss_seg": 0.19154, "aux.acc_seg": 66.37816, "loss": 0.43896, "time": 0.39904} +{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.2394, "decode.acc_seg": 71.72359, "aux.loss_seg": 0.18568, "aux.acc_seg": 65.54801, "loss": 0.42509, "time": 0.39538} +{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.25174, "decode.acc_seg": 71.66749, "aux.loss_seg": 0.20531, "aux.acc_seg": 64.7467, "loss": 0.45706, "time": 0.3999} +{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25371, "decode.acc_seg": 73.36727, "aux.loss_seg": 0.20443, "aux.acc_seg": 66.66396, "loss": 0.45814, "time": 0.39909} +{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.25676, "decode.acc_seg": 71.86683, "aux.loss_seg": 0.19835, "aux.acc_seg": 65.55381, "loss": 0.4551, "time": 0.40541} +{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25498, "decode.acc_seg": 71.68056, "aux.loss_seg": 0.19789, "aux.acc_seg": 65.34051, "loss": 0.45287, "time": 0.39308} +{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23926, "decode.acc_seg": 72.29992, "aux.loss_seg": 0.18438, "aux.acc_seg": 66.40938, "loss": 0.42364, "time": 0.40025} +{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25714, "decode.acc_seg": 74.03096, "aux.loss_seg": 0.20472, "aux.acc_seg": 67.18301, "loss": 0.46186, "time": 0.39442} +{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25216, "decode.acc_seg": 72.42569, "aux.loss_seg": 0.20009, "aux.acc_seg": 65.97011, "loss": 0.45225, "time": 0.39456} +{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25948, "decode.acc_seg": 72.33652, "aux.loss_seg": 0.20685, "aux.acc_seg": 65.64923, "loss": 0.46633, "time": 0.40017} +{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23733, "decode.acc_seg": 72.47377, "aux.loss_seg": 0.18952, "aux.acc_seg": 66.31464, "loss": 0.42686, "time": 0.4038} +{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.25304, "decode.acc_seg": 73.88599, "aux.loss_seg": 0.19916, "aux.acc_seg": 67.22548, "loss": 0.4522, "time": 0.41366} +{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.25495, "decode.acc_seg": 72.70661, "aux.loss_seg": 0.20423, "aux.acc_seg": 65.68204, "loss": 0.45918, "time": 0.40873} +{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.26979, "decode.acc_seg": 73.3959, "aux.loss_seg": 0.20453, "aux.acc_seg": 66.9945, "loss": 0.47432, "time": 0.39622} +{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 17837, "data_time": 0.24029, "decode.loss_seg": 0.26366, "decode.acc_seg": 72.71293, "aux.loss_seg": 0.20633, "aux.acc_seg": 65.74904, "loss": 0.46999, "time": 0.62727} +{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25273, "decode.acc_seg": 73.14126, "aux.loss_seg": 0.19947, "aux.acc_seg": 66.3378, "loss": 0.4522, "time": 0.39532} +{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24838, "decode.acc_seg": 73.79304, "aux.loss_seg": 0.19925, "aux.acc_seg": 66.91488, "loss": 0.44763, "time": 0.39539} +{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.25224, "decode.acc_seg": 73.04727, "aux.loss_seg": 0.208, "aux.acc_seg": 66.02492, "loss": 0.46024, "time": 0.39982} +{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 17837, "data_time": 0.00693, "decode.loss_seg": 0.24637, "decode.acc_seg": 72.68365, "aux.loss_seg": 0.2022, "aux.acc_seg": 65.89692, "loss": 0.44857, "time": 0.41927} +{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24473, "decode.acc_seg": 72.88856, "aux.loss_seg": 0.19927, "aux.acc_seg": 65.83859, "loss": 0.444, "time": 0.39796} +{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.25677, "decode.acc_seg": 72.73776, "aux.loss_seg": 0.19253, "aux.acc_seg": 66.78275, "loss": 0.4493, "time": 0.40222} +{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.24747, "decode.acc_seg": 72.93586, "aux.loss_seg": 0.19093, "aux.acc_seg": 66.70509, "loss": 0.4384, "time": 0.40417} +{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.26206, "decode.acc_seg": 71.57842, "aux.loss_seg": 0.20588, "aux.acc_seg": 64.88736, "loss": 0.46794, "time": 0.41959} +{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.25747, "decode.acc_seg": 72.63962, "aux.loss_seg": 0.19601, "aux.acc_seg": 66.44474, "loss": 0.45348, "time": 0.41003} +{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 17837, "data_time": 0.00687, "decode.loss_seg": 0.24728, "decode.acc_seg": 71.7916, "aux.loss_seg": 0.19439, "aux.acc_seg": 65.30036, "loss": 0.44167, "time": 0.41254} +{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.25819, "decode.acc_seg": 71.13575, "aux.loss_seg": 0.19736, "aux.acc_seg": 64.77283, "loss": 0.45555, "time": 0.39862} +{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24799, "decode.acc_seg": 73.10616, "aux.loss_seg": 0.2048, "aux.acc_seg": 66.0222, "loss": 0.4528, "time": 0.40446} +{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.25035, "decode.acc_seg": 71.81734, "aux.loss_seg": 0.19856, "aux.acc_seg": 65.44965, "loss": 0.44891, "time": 0.41387} +{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.25645, "decode.acc_seg": 72.72604, "aux.loss_seg": 0.19794, "aux.acc_seg": 66.50624, "loss": 0.45439, "time": 0.40068} +{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25438, "decode.acc_seg": 72.03881, "aux.loss_seg": 0.20173, "aux.acc_seg": 65.3586, "loss": 0.45611, "time": 0.40536} +{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25768, "decode.acc_seg": 73.85077, "aux.loss_seg": 0.20037, "aux.acc_seg": 67.29758, "loss": 0.45806, "time": 0.39801} +{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25126, "decode.acc_seg": 71.95067, "aux.loss_seg": 0.19549, "aux.acc_seg": 65.64572, "loss": 0.44675, "time": 0.3973} +{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24629, "decode.acc_seg": 72.29727, "aux.loss_seg": 0.19193, "aux.acc_seg": 66.19866, "loss": 0.43821, "time": 0.39401} +{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25307, "decode.acc_seg": 73.07371, "aux.loss_seg": 0.19705, "aux.acc_seg": 66.55434, "loss": 0.45012, "time": 0.39751} +{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.25557, "decode.acc_seg": 72.88227, "aux.loss_seg": 0.19599, "aux.acc_seg": 66.84385, "loss": 0.45157, "time": 0.4191} +{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.23996, "decode.acc_seg": 73.57022, "aux.loss_seg": 0.19921, "aux.acc_seg": 66.44913, "loss": 0.43917, "time": 0.41316} +{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.24731, "decode.acc_seg": 70.77329, "aux.loss_seg": 0.19723, "aux.acc_seg": 64.27519, "loss": 0.44454, "time": 0.40072} +{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25709, "decode.acc_seg": 72.89323, "aux.loss_seg": 0.19844, "aux.acc_seg": 66.49172, "loss": 0.45553, "time": 0.39712} +{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.26414, "decode.acc_seg": 73.1434, "aux.loss_seg": 0.20029, "aux.acc_seg": 66.96877, "loss": 0.46443, "time": 0.40896} +{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 17837, "data_time": 0.24715, "decode.loss_seg": 0.25297, "decode.acc_seg": 72.51497, "aux.loss_seg": 0.20036, "aux.acc_seg": 65.85839, "loss": 0.45333, "time": 0.64059} +{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25863, "decode.acc_seg": 71.94146, "aux.loss_seg": 0.20062, "aux.acc_seg": 65.31323, "loss": 0.45925, "time": 0.39529} +{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23736, "decode.acc_seg": 72.98965, "aux.loss_seg": 0.19721, "aux.acc_seg": 65.97019, "loss": 0.43457, "time": 0.4044} +{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.24301, "decode.acc_seg": 73.09619, "aux.loss_seg": 0.18721, "aux.acc_seg": 67.18846, "loss": 0.43022, "time": 0.40856} +{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.24691, "decode.acc_seg": 71.79014, "aux.loss_seg": 0.1911, "aux.acc_seg": 65.33509, "loss": 0.43801, "time": 0.41394} +{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.27203, "decode.acc_seg": 73.13521, "aux.loss_seg": 0.21483, "aux.acc_seg": 66.23465, "loss": 0.48686, "time": 0.39866} +{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.26934, "decode.acc_seg": 73.09282, "aux.loss_seg": 0.21396, "aux.acc_seg": 66.15064, "loss": 0.48331, "time": 0.40783} +{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.24113, "decode.acc_seg": 73.00475, "aux.loss_seg": 0.19843, "aux.acc_seg": 65.98154, "loss": 0.43956, "time": 0.40119} +{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.24095, "decode.acc_seg": 72.22235, "aux.loss_seg": 0.18782, "aux.acc_seg": 65.91576, "loss": 0.42877, "time": 0.40166} +{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24689, "decode.acc_seg": 72.08614, "aux.loss_seg": 0.20057, "aux.acc_seg": 65.14683, "loss": 0.44746, "time": 0.40077} +{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26654, "decode.acc_seg": 72.85741, "aux.loss_seg": 0.20259, "aux.acc_seg": 66.37655, "loss": 0.46913, "time": 0.39441} +{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.25368, "decode.acc_seg": 73.79126, "aux.loss_seg": 0.197, "aux.acc_seg": 67.21957, "loss": 0.45068, "time": 0.40669} +{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.22914, "decode.acc_seg": 73.16498, "aux.loss_seg": 0.19046, "aux.acc_seg": 66.52397, "loss": 0.41959, "time": 0.3959} +{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.25896, "decode.acc_seg": 72.44914, "aux.loss_seg": 0.19762, "aux.acc_seg": 66.40169, "loss": 0.45658, "time": 0.39893} +{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.24789, "decode.acc_seg": 71.12481, "aux.loss_seg": 0.19748, "aux.acc_seg": 64.43421, "loss": 0.44537, "time": 0.41157} +{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25674, "decode.acc_seg": 72.53985, "aux.loss_seg": 0.19838, "aux.acc_seg": 66.01801, "loss": 0.45512, "time": 0.40249} +{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.25121, "decode.acc_seg": 72.34347, "aux.loss_seg": 0.19036, "aux.acc_seg": 66.23162, "loss": 0.44157, "time": 0.39537} +{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.25126, "decode.acc_seg": 73.11025, "aux.loss_seg": 0.19912, "aux.acc_seg": 66.82488, "loss": 0.45039, "time": 0.40028} +{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.25543, "decode.acc_seg": 73.46223, "aux.loss_seg": 0.19845, "aux.acc_seg": 67.09229, "loss": 0.45388, "time": 0.40554} +{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.25499, "decode.acc_seg": 72.10564, "aux.loss_seg": 0.20075, "aux.acc_seg": 65.69106, "loss": 0.45574, "time": 0.40009} +{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.24791, "decode.acc_seg": 72.99298, "aux.loss_seg": 0.18538, "aux.acc_seg": 67.21467, "loss": 0.43329, "time": 0.4078} +{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24993, "decode.acc_seg": 72.26122, "aux.loss_seg": 0.20164, "aux.acc_seg": 65.6017, "loss": 0.45158, "time": 0.41324} +{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.25072, "decode.acc_seg": 72.6611, "aux.loss_seg": 0.19991, "aux.acc_seg": 66.07834, "loss": 0.45063, "time": 0.40211} +{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25614, "decode.acc_seg": 72.25502, "aux.loss_seg": 0.20686, "aux.acc_seg": 65.576, "loss": 0.46301, "time": 0.39887} +{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25103, "decode.acc_seg": 73.70704, "aux.loss_seg": 0.19804, "aux.acc_seg": 67.25784, "loss": 0.44907, "time": 0.41346} +{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24404, "decode.acc_seg": 73.13143, "aux.loss_seg": 0.20248, "aux.acc_seg": 65.85996, "loss": 0.44652, "time": 0.39545} +{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 17837, "data_time": 0.24504, "decode.loss_seg": 0.24394, "decode.acc_seg": 72.96391, "aux.loss_seg": 0.19486, "aux.acc_seg": 66.37174, "loss": 0.4388, "time": 0.64111} +{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.24412, "decode.acc_seg": 73.6811, "aux.loss_seg": 0.19493, "aux.acc_seg": 67.05805, "loss": 0.43905, "time": 0.40857} +{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.23843, "decode.acc_seg": 72.8902, "aux.loss_seg": 0.18599, "aux.acc_seg": 66.87025, "loss": 0.42442, "time": 0.39675} +{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25948, "decode.acc_seg": 72.45252, "aux.loss_seg": 0.21247, "aux.acc_seg": 64.94962, "loss": 0.47195, "time": 0.40995} +{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.25204, "decode.acc_seg": 73.21799, "aux.loss_seg": 0.20021, "aux.acc_seg": 66.72686, "loss": 0.45225, "time": 0.39707} +{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.25846, "decode.acc_seg": 72.31632, "aux.loss_seg": 0.19846, "aux.acc_seg": 65.90032, "loss": 0.45692, "time": 0.40438} +{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.24399, "decode.acc_seg": 72.6754, "aux.loss_seg": 0.19663, "aux.acc_seg": 66.27383, "loss": 0.44062, "time": 0.39711} +{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25614, "decode.acc_seg": 72.4778, "aux.loss_seg": 0.1991, "aux.acc_seg": 66.05608, "loss": 0.45524, "time": 0.40762} +{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25853, "decode.acc_seg": 71.43622, "aux.loss_seg": 0.2022, "aux.acc_seg": 64.90011, "loss": 0.46072, "time": 0.40672} +{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 17837, "data_time": 0.00689, "decode.loss_seg": 0.25591, "decode.acc_seg": 71.94447, "aux.loss_seg": 0.20578, "aux.acc_seg": 65.03324, "loss": 0.46169, "time": 0.40495} +{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.25128, "decode.acc_seg": 72.98336, "aux.loss_seg": 0.19714, "aux.acc_seg": 66.51719, "loss": 0.44842, "time": 0.41042} +{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.24912, "decode.acc_seg": 74.1138, "aux.loss_seg": 0.19878, "aux.acc_seg": 67.55947, "loss": 0.4479, "time": 0.39992} +{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.25161, "decode.acc_seg": 73.20941, "aux.loss_seg": 0.2026, "aux.acc_seg": 66.2486, "loss": 0.45422, "time": 0.41858} +{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.24074, "decode.acc_seg": 72.35357, "aux.loss_seg": 0.18682, "aux.acc_seg": 66.31779, "loss": 0.42756, "time": 0.39913} +{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.25901, "decode.acc_seg": 73.76393, "aux.loss_seg": 0.197, "aux.acc_seg": 67.50138, "loss": 0.45601, "time": 0.41095} +{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.25578, "decode.acc_seg": 72.6901, "aux.loss_seg": 0.20136, "aux.acc_seg": 66.16401, "loss": 0.45714, "time": 0.41422} +{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24272, "decode.acc_seg": 71.67217, "aux.loss_seg": 0.19028, "aux.acc_seg": 65.41168, "loss": 0.433, "time": 0.41782} +{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.24933, "decode.acc_seg": 72.23856, "aux.loss_seg": 0.19462, "aux.acc_seg": 65.77689, "loss": 0.44396, "time": 0.40777} +{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.77655, "aux.loss_seg": 0.20016, "aux.acc_seg": 66.43655, "loss": 0.44951, "time": 0.39988} +{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.23684, "decode.acc_seg": 72.56795, "aux.loss_seg": 0.18551, "aux.acc_seg": 66.58199, "loss": 0.42235, "time": 0.40405} +{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.24646, "decode.acc_seg": 73.92992, "aux.loss_seg": 0.19696, "aux.acc_seg": 67.44555, "loss": 0.44343, "time": 0.3933} +{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 17837, "data_time": 0.00681, "decode.loss_seg": 0.24746, "decode.acc_seg": 72.33304, "aux.loss_seg": 0.19449, "aux.acc_seg": 65.94671, "loss": 0.44194, "time": 0.41096} +{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.24267, "decode.acc_seg": 71.41781, "aux.loss_seg": 0.1946, "aux.acc_seg": 65.11543, "loss": 0.43727, "time": 0.40334} +{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25588, "decode.acc_seg": 71.36123, "aux.loss_seg": 0.19227, "aux.acc_seg": 65.28218, "loss": 0.44815, "time": 0.4086} +{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.24005, "decode.acc_seg": 71.42992, "aux.loss_seg": 0.18689, "aux.acc_seg": 65.4365, "loss": 0.42694, "time": 0.39623} +{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 17837, "data_time": 0.25101, "decode.loss_seg": 0.25073, "decode.acc_seg": 72.0392, "aux.loss_seg": 0.20413, "aux.acc_seg": 65.17778, "loss": 0.45486, "time": 0.63823} +{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.24226, "decode.acc_seg": 72.17163, "aux.loss_seg": 0.19346, "aux.acc_seg": 65.45945, "loss": 0.43571, "time": 0.40165} +{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.2449, "decode.acc_seg": 72.18624, "aux.loss_seg": 0.18482, "aux.acc_seg": 66.48881, "loss": 0.42972, "time": 0.39802} +{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24441, "decode.acc_seg": 73.42149, "aux.loss_seg": 0.19663, "aux.acc_seg": 66.84102, "loss": 0.44104, "time": 0.40519} +{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24736, "decode.acc_seg": 71.25876, "aux.loss_seg": 0.19779, "aux.acc_seg": 64.87534, "loss": 0.44515, "time": 0.4027} +{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26016, "decode.acc_seg": 71.50884, "aux.loss_seg": 0.20689, "aux.acc_seg": 64.65736, "loss": 0.46705, "time": 0.40204} +{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23217, "decode.acc_seg": 73.63376, "aux.loss_seg": 0.18624, "aux.acc_seg": 67.32055, "loss": 0.4184, "time": 0.40706} +{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24613, "decode.acc_seg": 72.4721, "aux.loss_seg": 0.1922, "aux.acc_seg": 66.22698, "loss": 0.43833, "time": 0.4022} +{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4529, "mAcc": 0.575, "aAcc": 0.8126, "IoU.wall": 0.7547, "IoU.building": 0.8001, "IoU.sky": 0.9384, "IoU.floor": 0.7977, "IoU.tree": 0.7319, "IoU.ceiling": 0.8224, "IoU.road": 0.8125, "IoU.bed ": 0.8589, "IoU.windowpane": 0.605, "IoU.grass": 0.655, "IoU.cabinet": 0.5812, "IoU.sidewalk": 0.6146, "IoU.person": 0.7582, "IoU.earth": 0.3292, "IoU.door": 0.4215, "IoU.table": 0.5382, "IoU.mountain": 0.5796, "IoU.plant": 0.5107, "IoU.curtain": 0.6785, "IoU.chair": 0.5083, "IoU.car": 0.8165, "IoU.water": 0.4635, "IoU.painting": 0.7036, "IoU.sofa": 0.5691, "IoU.shelf": 0.3865, "IoU.house": 0.4372, "IoU.sea": 0.5401, "IoU.mirror": 0.5808, "IoU.rug": 0.6438, "IoU.field": 0.2769, "IoU.armchair": 0.3423, "IoU.seat": 0.5979, "IoU.fence": 0.4044, "IoU.desk": 0.4709, "IoU.rock": 0.4402, "IoU.wardrobe": 0.4344, "IoU.lamp": 0.5638, "IoU.bathtub": 0.7196, "IoU.railing": 0.3253, "IoU.cushion": 0.5214, "IoU.base": 0.2775, "IoU.box": 0.2563, "IoU.column": 0.4198, "IoU.signboard": 0.3223, "IoU.chest of drawers": 0.3856, "IoU.counter": 0.2924, "IoU.sand": 0.3428, "IoU.sink": 0.667, "IoU.skyscraper": 0.6654, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7127, "IoU.grandstand": 0.4704, "IoU.path": 0.19, "IoU.stairs": 0.2409, "IoU.runway": 0.7336, "IoU.case": 0.4882, "IoU.pool table": 0.8959, "IoU.pillow": 0.5071, "IoU.screen door": 0.5534, "IoU.stairway": 0.2374, "IoU.river": 0.1594, "IoU.bridge": 0.5929, "IoU.bookcase": 0.4479, "IoU.blind": NaN, "IoU.coffee table": 0.5258, "IoU.toilet": 0.8022, "IoU.flower": 0.4133, "IoU.book": 0.4477, "IoU.hill": 0.1204, "IoU.bench": 0.4025, "IoU.countertop": 0.488, "IoU.stove": 0.6611, "IoU.palm": 0.484, "IoU.kitchen island": 0.365, "IoU.computer": 0.6421, "IoU.swivel chair": 0.4403, "IoU.boat": 0.4061, "IoU.bar": 0.2907, "IoU.arcade machine": 0.5705, "IoU.hovel": 0.3717, "IoU.bus": 0.755, "IoU.towel": 0.6075, "IoU.light": 0.5044, "IoU.truck": 0.1485, "IoU.tower": 0.2512, "IoU.chandelier": 0.6217, "IoU.awning": 0.2458, "IoU.streetlight": 0.187, "IoU.booth": 0.5154, "IoU.television receiver": NaN, "IoU.airplane": 0.5331, "IoU.dirt track": 0.1475, "IoU.apparel": 0.2817, "IoU.pole": 0.1297, "IoU.land": 0.0423, "IoU.bannister": 0.0491, "IoU.escalator": 0.3219, "IoU.ottoman": 0.39, "IoU.bottle": NaN, "IoU.buffet": 0.4633, "IoU.poster": 0.2309, "IoU.stage": 0.1341, "IoU.van": 0.4017, "IoU.ship": 0.561, "IoU.fountain": 0.2084, "IoU.conveyer belt": 0.7, "IoU.canopy": 0.1955, "IoU.washer": 0.6776, "IoU.plaything": 0.1589, "IoU.swimming pool": 0.557, "IoU.stool": 0.3759, "IoU.barrel": 0.4992, "IoU.basket": 0.2172, "IoU.waterfall": 0.4883, "IoU.tent": 0.8904, "IoU.bag": 0.0623, "IoU.minibike": 0.7136, "IoU.cradle": NaN, "IoU.oven": 0.3109, "IoU.ball": 0.3082, "IoU.food": 0.4659, "IoU.step": 0.0795, "IoU.tank": 0.5715, "IoU.trade name": 0.2373, "IoU.microwave": 0.7468, "IoU.pot": 0.4482, "IoU.animal": NaN, "IoU.bicycle": 0.4915, "IoU.lake": 0.472, "IoU.dishwasher": 0.5758, "IoU.screen": 0.6409, "IoU.blanket": 0.0998, "IoU.sculpture": 0.4902, "IoU.hood": 0.547, "IoU.sconce": 0.4111, "IoU.vase": 0.3141, "IoU.traffic light": 0.2252, "IoU.tray": 0.0518, "IoU.ashcan": 0.2885, "IoU.fan": 0.5393, "IoU.pier": 0.3326, "IoU.crt screen": 0.0387, "IoU.plate": 0.5343, "IoU.monitor": 0.0881, "IoU.bulletin board": 0.3348, "IoU.shower": 0.0112, "IoU.radiator": 0.5547, "IoU.glass": 0.1107, "IoU.clock": 0.3347, "IoU.flag": 0.4748, "Acc.wall": 0.8699, "Acc.building": 0.9039, "Acc.sky": 0.9715, "Acc.floor": 0.8959, "Acc.tree": 0.8679, "Acc.ceiling": 0.9152, "Acc.road": 0.8749, "Acc.bed ": 0.9469, "Acc.windowpane": 0.7789, "Acc.grass": 0.8332, "Acc.cabinet": 0.6987, "Acc.sidewalk": 0.8043, "Acc.person": 0.8996, "Acc.earth": 0.4391, "Acc.door": 0.5512, "Acc.table": 0.7265, "Acc.mountain": 0.7211, "Acc.plant": 0.6424, "Acc.curtain": 0.8286, "Acc.chair": 0.6578, "Acc.car": 0.9105, "Acc.water": 0.582, "Acc.painting": 0.8531, "Acc.sofa": 0.7738, "Acc.shelf": 0.5625, "Acc.house": 0.6793, "Acc.sea": 0.833, "Acc.mirror": 0.6746, "Acc.rug": 0.7256, "Acc.field": 0.4576, "Acc.armchair": 0.5149, "Acc.seat": 0.7764, "Acc.fence": 0.5786, "Acc.desk": 0.6948, "Acc.rock": 0.6353, "Acc.wardrobe": 0.6343, "Acc.lamp": 0.7098, "Acc.bathtub": 0.7865, "Acc.railing": 0.4813, "Acc.cushion": 0.6612, "Acc.base": 0.368, "Acc.box": 0.3515, "Acc.column": 0.5076, "Acc.signboard": 0.4619, "Acc.chest of drawers": 0.5404, "Acc.counter": 0.3813, "Acc.sand": 0.5608, "Acc.sink": 0.76, "Acc.skyscraper": 0.8464, "Acc.fireplace": NaN, "Acc.refrigerator": 0.856, "Acc.grandstand": 0.7208, "Acc.path": 0.2742, "Acc.stairs": 0.2998, "Acc.runway": 0.932, "Acc.case": 0.6511, "Acc.pool table": 0.963, "Acc.pillow": 0.5874, "Acc.screen door": 0.7423, "Acc.stairway": 0.3511, "Acc.river": 0.2897, "Acc.bridge": 0.7114, "Acc.bookcase": 0.5552, "Acc.blind": NaN, "Acc.coffee table": 0.7815, "Acc.toilet": 0.8902, "Acc.flower": 0.5481, "Acc.book": 0.653, "Acc.hill": 0.1754, "Acc.bench": 0.5067, "Acc.countertop": 0.6431, "Acc.stove": 0.7816, "Acc.palm": 0.6928, "Acc.kitchen island": 0.6684, "Acc.computer": 0.7698, "Acc.swivel chair": 0.564, "Acc.boat": 0.4907, "Acc.bar": 0.3728, "Acc.arcade machine": 0.6076, "Acc.hovel": 0.409, "Acc.bus": 0.9086, "Acc.towel": 0.7159, "Acc.light": 0.581, "Acc.truck": 0.1964, "Acc.tower": 0.3867, "Acc.chandelier": 0.8125, "Acc.awning": 0.3064, "Acc.streetlight": 0.2572, "Acc.booth": 0.6003, "Acc.television receiver": NaN, "Acc.airplane": 0.6059, "Acc.dirt track": 0.4274, "Acc.apparel": 0.4128, "Acc.pole": 0.1722, "Acc.land": 0.0508, "Acc.bannister": 0.0621, "Acc.escalator": 0.4443, "Acc.ottoman": 0.5787, "Acc.bottle": NaN, "Acc.buffet": 0.5448, "Acc.poster": 0.3195, "Acc.stage": 0.2444, "Acc.van": 0.5043, "Acc.ship": 0.8907, "Acc.fountain": 0.2095, "Acc.conveyer belt": 0.8705, "Acc.canopy": 0.2522, "Acc.washer": 0.716, "Acc.plaything": 0.2755, "Acc.swimming pool": 0.8264, "Acc.stool": 0.5052, "Acc.barrel": 0.6473, "Acc.basket": 0.3195, "Acc.waterfall": 0.6283, "Acc.tent": 0.9886, "Acc.bag": 0.0762, "Acc.minibike": 0.8608, "Acc.cradle": NaN, "Acc.oven": 0.4843, "Acc.ball": 0.3183, "Acc.food": 0.5239, "Acc.step": 0.0966, "Acc.tank": 0.6409, "Acc.trade name": 0.2848, "Acc.microwave": 0.8476, "Acc.pot": 0.5155, "Acc.animal": NaN, "Acc.bicycle": 0.7276, "Acc.lake": 0.6362, "Acc.dishwasher": 0.72, "Acc.screen": 0.8297, "Acc.blanket": 0.1126, "Acc.sculpture": 0.6962, "Acc.hood": 0.6074, "Acc.sconce": 0.4777, "Acc.vase": 0.4367, "Acc.traffic light": 0.3411, "Acc.tray": 0.0981, "Acc.ashcan": 0.3454, "Acc.fan": 0.6779, "Acc.pier": 0.484, "Acc.crt screen": 0.1134, "Acc.plate": 0.6587, "Acc.monitor": 0.098, "Acc.bulletin board": 0.4581, "Acc.shower": 0.0227, "Acc.radiator": 0.6147, "Acc.glass": 0.123, "Acc.clock": 0.4242, "Acc.flag": 0.567} +{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 17837, "data_time": 1.52403, "decode.loss_seg": 0.24949, "decode.acc_seg": 72.84471, "aux.loss_seg": 0.20648, "aux.acc_seg": 65.83178, "loss": 0.45598, "time": 1.92884} +{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 17837, "data_time": 0.00554, "decode.loss_seg": 0.25385, "decode.acc_seg": 72.06133, "aux.loss_seg": 0.1957, "aux.acc_seg": 65.9257, "loss": 0.44956, "time": 0.39772} +{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 17837, "data_time": 0.00533, "decode.loss_seg": 0.24489, "decode.acc_seg": 73.10942, "aux.loss_seg": 0.19807, "aux.acc_seg": 66.50307, "loss": 0.44296, "time": 0.40012} +{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.26615, "decode.acc_seg": 72.89673, "aux.loss_seg": 0.21109, "aux.acc_seg": 66.01459, "loss": 0.47724, "time": 0.39821} +{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23981, "decode.acc_seg": 72.46024, "aux.loss_seg": 0.18544, "aux.acc_seg": 66.7051, "loss": 0.42525, "time": 0.40785} +{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24496, "decode.acc_seg": 72.24915, "aux.loss_seg": 0.202, "aux.acc_seg": 65.33804, "loss": 0.44697, "time": 0.3985} +{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.24896, "decode.acc_seg": 71.86798, "aux.loss_seg": 0.1986, "aux.acc_seg": 65.42493, "loss": 0.44756, "time": 0.3979} +{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24868, "decode.acc_seg": 72.62115, "aux.loss_seg": 0.20122, "aux.acc_seg": 65.76404, "loss": 0.4499, "time": 0.41298} +{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24859, "decode.acc_seg": 72.7813, "aux.loss_seg": 0.19374, "aux.acc_seg": 66.50441, "loss": 0.44233, "time": 0.39681} +{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.25693, "decode.acc_seg": 72.48635, "aux.loss_seg": 0.19572, "aux.acc_seg": 66.39935, "loss": 0.45264, "time": 0.39854} +{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.23778, "decode.acc_seg": 73.57706, "aux.loss_seg": 0.18814, "aux.acc_seg": 67.55085, "loss": 0.42592, "time": 0.41194} +{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.25105, "decode.acc_seg": 71.52681, "aux.loss_seg": 0.1985, "aux.acc_seg": 65.0754, "loss": 0.44955, "time": 0.40815} +{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.24847, "decode.acc_seg": 71.66175, "aux.loss_seg": 0.19232, "aux.acc_seg": 65.6192, "loss": 0.4408, "time": 0.41522} +{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.24939, "decode.acc_seg": 73.71152, "aux.loss_seg": 0.19931, "aux.acc_seg": 66.9625, "loss": 0.44869, "time": 0.40394} +{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.25155, "decode.acc_seg": 72.88671, "aux.loss_seg": 0.19549, "aux.acc_seg": 66.27788, "loss": 0.44705, "time": 0.39765} +{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.24994, "decode.acc_seg": 72.06487, "aux.loss_seg": 0.19647, "aux.acc_seg": 65.54991, "loss": 0.44641, "time": 0.39587} +{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 17837, "data_time": 0.24456, "decode.loss_seg": 0.23921, "decode.acc_seg": 71.45655, "aux.loss_seg": 0.1866, "aux.acc_seg": 65.39856, "loss": 0.42581, "time": 0.63068} +{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 17837, "data_time": 0.00542, "decode.loss_seg": 0.24337, "decode.acc_seg": 72.07211, "aux.loss_seg": 0.19497, "aux.acc_seg": 65.67247, "loss": 0.43833, "time": 0.39466} +{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.25468, "decode.acc_seg": 72.98526, "aux.loss_seg": 0.20042, "aux.acc_seg": 66.58754, "loss": 0.4551, "time": 0.40143} +{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 17837, "data_time": 0.00549, "decode.loss_seg": 0.24139, "decode.acc_seg": 72.19058, "aux.loss_seg": 0.19545, "aux.acc_seg": 65.68521, "loss": 0.43684, "time": 0.39816} +{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.23819, "decode.acc_seg": 72.35155, "aux.loss_seg": 0.1905, "aux.acc_seg": 65.70062, "loss": 0.4287, "time": 0.40447} +{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.25146, "decode.acc_seg": 71.31711, "aux.loss_seg": 0.19379, "aux.acc_seg": 65.0786, "loss": 0.44525, "time": 0.42358} +{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.2367, "decode.acc_seg": 73.47553, "aux.loss_seg": 0.18529, "aux.acc_seg": 67.23986, "loss": 0.422, "time": 0.41309} +{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.24563, "decode.acc_seg": 73.32253, "aux.loss_seg": 0.19875, "aux.acc_seg": 66.62723, "loss": 0.44438, "time": 0.4154} +{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24933, "decode.acc_seg": 72.82059, "aux.loss_seg": 0.19629, "aux.acc_seg": 66.34263, "loss": 0.44562, "time": 0.41407} +{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24696, "decode.acc_seg": 73.89507, "aux.loss_seg": 0.19499, "aux.acc_seg": 67.52313, "loss": 0.44195, "time": 0.41231} +{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 17837, "data_time": 0.00693, "decode.loss_seg": 0.24236, "decode.acc_seg": 71.06201, "aux.loss_seg": 0.18571, "aux.acc_seg": 64.96977, "loss": 0.42807, "time": 0.41264} +{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.23724, "decode.acc_seg": 73.03834, "aux.loss_seg": 0.18789, "aux.acc_seg": 66.99113, "loss": 0.42514, "time": 0.40196} +{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.23332, "decode.acc_seg": 73.16721, "aux.loss_seg": 0.18604, "aux.acc_seg": 67.111, "loss": 0.41936, "time": 0.39822} +{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.23812, "decode.acc_seg": 72.44052, "aux.loss_seg": 0.1889, "aux.acc_seg": 65.9071, "loss": 0.42703, "time": 0.39422} +{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24238, "decode.acc_seg": 72.31934, "aux.loss_seg": 0.19002, "aux.acc_seg": 65.9632, "loss": 0.4324, "time": 0.39983} +{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.24673, "decode.acc_seg": 73.11126, "aux.loss_seg": 0.19806, "aux.acc_seg": 66.3198, "loss": 0.44479, "time": 0.40962} +{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.26496, "decode.acc_seg": 72.85745, "aux.loss_seg": 0.20279, "aux.acc_seg": 66.42097, "loss": 0.46775, "time": 0.40274} +{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24625, "decode.acc_seg": 72.24442, "aux.loss_seg": 0.199, "aux.acc_seg": 65.22015, "loss": 0.44525, "time": 0.39492} +{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24562, "decode.acc_seg": 73.14914, "aux.loss_seg": 0.19444, "aux.acc_seg": 67.12963, "loss": 0.44006, "time": 0.3933} +{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24092, "decode.acc_seg": 70.91007, "aux.loss_seg": 0.19173, "aux.acc_seg": 64.58111, "loss": 0.43265, "time": 0.40873} +{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25323, "decode.acc_seg": 72.25761, "aux.loss_seg": 0.20241, "aux.acc_seg": 65.44699, "loss": 0.45565, "time": 0.41517} +{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.25576, "decode.acc_seg": 73.27412, "aux.loss_seg": 0.19964, "aux.acc_seg": 66.60685, "loss": 0.4554, "time": 0.40674} +{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.24787, "decode.acc_seg": 73.53819, "aux.loss_seg": 0.19673, "aux.acc_seg": 66.9333, "loss": 0.4446, "time": 0.40229} +{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.23536, "decode.acc_seg": 73.22564, "aux.loss_seg": 0.18402, "aux.acc_seg": 67.33936, "loss": 0.41938, "time": 0.40091} +{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25043, "decode.acc_seg": 72.38827, "aux.loss_seg": 0.19709, "aux.acc_seg": 65.88862, "loss": 0.44752, "time": 0.40063} +{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 17837, "data_time": 0.24758, "decode.loss_seg": 0.24527, "decode.acc_seg": 72.02046, "aux.loss_seg": 0.19401, "aux.acc_seg": 65.67758, "loss": 0.43928, "time": 0.65529} +{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.2328, "decode.acc_seg": 72.63609, "aux.loss_seg": 0.1845, "aux.acc_seg": 66.52051, "loss": 0.4173, "time": 0.39546} +{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.22696, "decode.acc_seg": 72.97539, "aux.loss_seg": 0.17788, "aux.acc_seg": 67.05923, "loss": 0.40484, "time": 0.40224} +{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24544, "decode.acc_seg": 72.57851, "aux.loss_seg": 0.202, "aux.acc_seg": 65.45507, "loss": 0.44743, "time": 0.39662} +{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24447, "decode.acc_seg": 72.38621, "aux.loss_seg": 0.18979, "aux.acc_seg": 66.24959, "loss": 0.43426, "time": 0.39888} +{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24826, "decode.acc_seg": 74.02059, "aux.loss_seg": 0.19795, "aux.acc_seg": 67.60642, "loss": 0.44621, "time": 0.40259} +{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.23193, "decode.acc_seg": 72.03265, "aux.loss_seg": 0.18318, "aux.acc_seg": 65.96528, "loss": 0.41511, "time": 0.41755} +{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25834, "decode.acc_seg": 71.71721, "aux.loss_seg": 0.19932, "aux.acc_seg": 65.1009, "loss": 0.45766, "time": 0.39583} +{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25692, "decode.acc_seg": 71.83195, "aux.loss_seg": 0.20315, "aux.acc_seg": 65.02358, "loss": 0.46006, "time": 0.40375} +{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.23859, "decode.acc_seg": 73.38583, "aux.loss_seg": 0.18915, "aux.acc_seg": 66.89478, "loss": 0.42775, "time": 0.39189} +{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25037, "decode.acc_seg": 72.2267, "aux.loss_seg": 0.19312, "aux.acc_seg": 66.04662, "loss": 0.4435, "time": 0.39258} +{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24926, "decode.acc_seg": 73.58509, "aux.loss_seg": 0.19665, "aux.acc_seg": 67.10389, "loss": 0.44591, "time": 0.39374} +{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.24966, "decode.acc_seg": 73.20529, "aux.loss_seg": 0.1938, "aux.acc_seg": 67.0777, "loss": 0.44347, "time": 0.40782} +{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25483, "decode.acc_seg": 72.6763, "aux.loss_seg": 0.19596, "aux.acc_seg": 66.41456, "loss": 0.45079, "time": 0.40367} +{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2469, "decode.acc_seg": 73.62668, "aux.loss_seg": 0.19647, "aux.acc_seg": 67.46011, "loss": 0.44337, "time": 0.39689} +{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24647, "decode.acc_seg": 71.82121, "aux.loss_seg": 0.19209, "aux.acc_seg": 65.43587, "loss": 0.43856, "time": 0.39707} +{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23948, "decode.acc_seg": 72.04014, "aux.loss_seg": 0.18688, "aux.acc_seg": 66.09431, "loss": 0.42636, "time": 0.39541} +{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.2508, "decode.acc_seg": 71.20958, "aux.loss_seg": 0.19494, "aux.acc_seg": 64.68143, "loss": 0.44574, "time": 0.39716} +{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25519, "decode.acc_seg": 73.6187, "aux.loss_seg": 0.19928, "aux.acc_seg": 67.41716, "loss": 0.45448, "time": 0.39576} +{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24689, "decode.acc_seg": 72.84904, "aux.loss_seg": 0.19751, "aux.acc_seg": 66.17717, "loss": 0.44439, "time": 0.39423} +{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.25627, "decode.acc_seg": 74.02242, "aux.loss_seg": 0.19954, "aux.acc_seg": 67.2324, "loss": 0.45581, "time": 0.4013} +{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.25757, "decode.acc_seg": 72.55483, "aux.loss_seg": 0.20155, "aux.acc_seg": 65.93216, "loss": 0.45912, "time": 0.41229} +{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.24349, "decode.acc_seg": 72.2267, "aux.loss_seg": 0.19523, "aux.acc_seg": 65.55672, "loss": 0.43872, "time": 0.39412} +{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24587, "decode.acc_seg": 75.13874, "aux.loss_seg": 0.1978, "aux.acc_seg": 68.63847, "loss": 0.44367, "time": 0.41063} +{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24441, "decode.acc_seg": 73.6728, "aux.loss_seg": 0.18869, "aux.acc_seg": 67.52563, "loss": 0.4331, "time": 0.3994} +{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.25545, "decode.acc_seg": 73.51513, "aux.loss_seg": 0.20177, "aux.acc_seg": 66.75155, "loss": 0.45722, "time": 0.41702} +{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 17837, "data_time": 0.24029, "decode.loss_seg": 0.22661, "decode.acc_seg": 71.51016, "aux.loss_seg": 0.1883, "aux.acc_seg": 64.66264, "loss": 0.4149, "time": 0.62892} +{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24277, "decode.acc_seg": 72.63072, "aux.loss_seg": 0.19052, "aux.acc_seg": 66.46099, "loss": 0.43329, "time": 0.40575} +{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.24491, "decode.acc_seg": 74.11901, "aux.loss_seg": 0.19599, "aux.acc_seg": 67.59159, "loss": 0.4409, "time": 0.4051} +{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25063, "decode.acc_seg": 71.81194, "aux.loss_seg": 0.19748, "aux.acc_seg": 65.27869, "loss": 0.4481, "time": 0.40489} +{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24106, "decode.acc_seg": 73.93355, "aux.loss_seg": 0.18676, "aux.acc_seg": 67.62264, "loss": 0.42783, "time": 0.4015} +{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.24684, "decode.acc_seg": 72.29987, "aux.loss_seg": 0.19446, "aux.acc_seg": 65.94867, "loss": 0.44129, "time": 0.4152} +{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.2543, "decode.acc_seg": 73.42187, "aux.loss_seg": 0.19447, "aux.acc_seg": 67.09861, "loss": 0.44877, "time": 0.41293} +{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23758, "decode.acc_seg": 73.06031, "aux.loss_seg": 0.19413, "aux.acc_seg": 66.31758, "loss": 0.43171, "time": 0.4001} +{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.25538, "decode.acc_seg": 72.95272, "aux.loss_seg": 0.20103, "aux.acc_seg": 66.48919, "loss": 0.45641, "time": 0.41561} +{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.23686, "decode.acc_seg": 72.81843, "aux.loss_seg": 0.18996, "aux.acc_seg": 66.41755, "loss": 0.42682, "time": 0.39476} +{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.24339, "decode.acc_seg": 72.86349, "aux.loss_seg": 0.19334, "aux.acc_seg": 66.57374, "loss": 0.43674, "time": 0.41381} +{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.24263, "decode.acc_seg": 72.71408, "aux.loss_seg": 0.18796, "aux.acc_seg": 66.51977, "loss": 0.43059, "time": 0.39797} +{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23156, "decode.acc_seg": 71.12531, "aux.loss_seg": 0.18429, "aux.acc_seg": 65.08433, "loss": 0.41585, "time": 0.39449} +{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24108, "decode.acc_seg": 73.94686, "aux.loss_seg": 0.18728, "aux.acc_seg": 68.11297, "loss": 0.42836, "time": 0.39521} +{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24747, "decode.acc_seg": 72.82389, "aux.loss_seg": 0.19362, "aux.acc_seg": 66.48106, "loss": 0.44108, "time": 0.39606} +{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.24807, "decode.acc_seg": 72.427, "aux.loss_seg": 0.19587, "aux.acc_seg": 66.04454, "loss": 0.44394, "time": 0.39904} +{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 17837, "data_time": 0.00684, "decode.loss_seg": 0.2557, "decode.acc_seg": 72.05509, "aux.loss_seg": 0.20546, "aux.acc_seg": 65.18415, "loss": 0.46117, "time": 0.39962} +{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23918, "decode.acc_seg": 72.821, "aux.loss_seg": 0.19521, "aux.acc_seg": 66.41997, "loss": 0.4344, "time": 0.4025} +{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 17837, "data_time": 0.00685, "decode.loss_seg": 0.24411, "decode.acc_seg": 72.38437, "aux.loss_seg": 0.19518, "aux.acc_seg": 65.77733, "loss": 0.43929, "time": 0.41552} +{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.4908, "aux.loss_seg": 0.19333, "aux.acc_seg": 66.28215, "loss": 0.43808, "time": 0.39818} +{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.2397, "decode.acc_seg": 73.1628, "aux.loss_seg": 0.19145, "aux.acc_seg": 66.75477, "loss": 0.43115, "time": 0.39514} +{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 17837, "data_time": 0.00657, "decode.loss_seg": 0.24988, "decode.acc_seg": 72.52059, "aux.loss_seg": 0.2041, "aux.acc_seg": 65.45661, "loss": 0.45397, "time": 0.40429} +{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.25547, "decode.acc_seg": 73.23963, "aux.loss_seg": 0.20315, "aux.acc_seg": 66.38507, "loss": 0.45862, "time": 0.40426} +{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.24293, "decode.acc_seg": 72.78529, "aux.loss_seg": 0.19836, "aux.acc_seg": 66.13715, "loss": 0.4413, "time": 0.39409} +{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.25048, "decode.acc_seg": 74.07907, "aux.loss_seg": 0.20333, "aux.acc_seg": 67.32555, "loss": 0.45381, "time": 0.39239} +{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 17837, "data_time": 0.24326, "decode.loss_seg": 0.25646, "decode.acc_seg": 72.47069, "aux.loss_seg": 0.19482, "aux.acc_seg": 66.56983, "loss": 0.45128, "time": 0.63423} +{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23531, "decode.acc_seg": 72.72352, "aux.loss_seg": 0.19337, "aux.acc_seg": 65.98904, "loss": 0.42868, "time": 0.40373} +{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.2456, "decode.acc_seg": 73.38157, "aux.loss_seg": 0.2023, "aux.acc_seg": 66.51898, "loss": 0.4479, "time": 0.41276} +{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.23375, "decode.acc_seg": 73.18021, "aux.loss_seg": 0.18024, "aux.acc_seg": 67.48644, "loss": 0.41399, "time": 0.3974} +{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.2519, "decode.acc_seg": 72.37186, "aux.loss_seg": 0.19974, "aux.acc_seg": 65.74563, "loss": 0.45165, "time": 0.404} +{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25373, "decode.acc_seg": 72.30172, "aux.loss_seg": 0.20225, "aux.acc_seg": 65.63173, "loss": 0.45598, "time": 0.40038} +{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25157, "decode.acc_seg": 72.14669, "aux.loss_seg": 0.19991, "aux.acc_seg": 65.57547, "loss": 0.45149, "time": 0.40069} +{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.23741, "decode.acc_seg": 72.60094, "aux.loss_seg": 0.18639, "aux.acc_seg": 66.56202, "loss": 0.42381, "time": 0.42019} +{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25487, "decode.acc_seg": 72.50074, "aux.loss_seg": 0.20269, "aux.acc_seg": 65.61584, "loss": 0.45757, "time": 0.39885} +{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.25309, "decode.acc_seg": 72.77919, "aux.loss_seg": 0.20799, "aux.acc_seg": 65.76501, "loss": 0.46108, "time": 0.39989} +{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.24426, "decode.acc_seg": 73.63012, "aux.loss_seg": 0.19304, "aux.acc_seg": 66.83793, "loss": 0.43731, "time": 0.40611} +{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23244, "decode.acc_seg": 73.22725, "aux.loss_seg": 0.18047, "aux.acc_seg": 67.26117, "loss": 0.41291, "time": 0.39554} +{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.24048, "decode.acc_seg": 72.98552, "aux.loss_seg": 0.19236, "aux.acc_seg": 66.36184, "loss": 0.43284, "time": 0.40436} +{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.24085, "decode.acc_seg": 73.27396, "aux.loss_seg": 0.19348, "aux.acc_seg": 66.43215, "loss": 0.43433, "time": 0.41471} +{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.23789, "decode.acc_seg": 72.41715, "aux.loss_seg": 0.18728, "aux.acc_seg": 66.33535, "loss": 0.42517, "time": 0.39961} +{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24291, "decode.acc_seg": 73.87535, "aux.loss_seg": 0.18685, "aux.acc_seg": 67.68193, "loss": 0.42976, "time": 0.41853} +{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.232, "decode.acc_seg": 73.16646, "aux.loss_seg": 0.18351, "aux.acc_seg": 67.0434, "loss": 0.41552, "time": 0.41559} +{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.23988, "decode.acc_seg": 73.26872, "aux.loss_seg": 0.19579, "aux.acc_seg": 66.32598, "loss": 0.43568, "time": 0.40101} +{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.2343, "decode.acc_seg": 72.20584, "aux.loss_seg": 0.18502, "aux.acc_seg": 66.07164, "loss": 0.41932, "time": 0.39363} +{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.24305, "decode.acc_seg": 72.56415, "aux.loss_seg": 0.19712, "aux.acc_seg": 65.6762, "loss": 0.44018, "time": 0.40243} +{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23723, "decode.acc_seg": 74.04974, "aux.loss_seg": 0.1898, "aux.acc_seg": 67.81008, "loss": 0.42703, "time": 0.39733} +{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.23548, "decode.acc_seg": 71.63836, "aux.loss_seg": 0.19783, "aux.acc_seg": 64.64853, "loss": 0.43331, "time": 0.3968} +{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24853, "decode.acc_seg": 72.84407, "aux.loss_seg": 0.19759, "aux.acc_seg": 66.149, "loss": 0.44612, "time": 0.39846} +{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.56945, "aux.loss_seg": 0.19716, "aux.acc_seg": 65.78785, "loss": 0.44191, "time": 0.39657} +{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.23593, "decode.acc_seg": 72.30876, "aux.loss_seg": 0.19091, "aux.acc_seg": 66.14808, "loss": 0.42684, "time": 0.39626} +{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 17837, "data_time": 0.24053, "decode.loss_seg": 0.24181, "decode.acc_seg": 74.48669, "aux.loss_seg": 0.19476, "aux.acc_seg": 67.98541, "loss": 0.43657, "time": 0.63206} +{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.24385, "decode.acc_seg": 71.97283, "aux.loss_seg": 0.18532, "aux.acc_seg": 66.0676, "loss": 0.42917, "time": 0.40076} +{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.233, "decode.acc_seg": 72.48246, "aux.loss_seg": 0.19026, "aux.acc_seg": 65.87909, "loss": 0.42326, "time": 0.3927} +{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.25203, "decode.acc_seg": 73.49152, "aux.loss_seg": 0.2007, "aux.acc_seg": 66.62577, "loss": 0.45274, "time": 0.39482} +{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26107, "decode.acc_seg": 71.52377, "aux.loss_seg": 0.20496, "aux.acc_seg": 64.66208, "loss": 0.46603, "time": 0.40307} +{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23483, "decode.acc_seg": 73.01812, "aux.loss_seg": 0.18713, "aux.acc_seg": 66.85537, "loss": 0.42196, "time": 0.39786} +{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23685, "decode.acc_seg": 71.11717, "aux.loss_seg": 0.19251, "aux.acc_seg": 64.70687, "loss": 0.42935, "time": 0.40229} +{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23814, "decode.acc_seg": 73.10849, "aux.loss_seg": 0.19176, "aux.acc_seg": 66.65307, "loss": 0.4299, "time": 0.40468} +{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.24768, "decode.acc_seg": 72.81026, "aux.loss_seg": 0.19286, "aux.acc_seg": 66.5704, "loss": 0.44054, "time": 0.40299} +{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.23567, "decode.acc_seg": 73.19881, "aux.loss_seg": 0.18539, "aux.acc_seg": 67.11418, "loss": 0.42105, "time": 0.39285} +{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.22863, "decode.acc_seg": 72.64693, "aux.loss_seg": 0.1877, "aux.acc_seg": 66.00292, "loss": 0.41633, "time": 0.40033} +{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.2436, "decode.acc_seg": 72.40278, "aux.loss_seg": 0.19355, "aux.acc_seg": 65.94399, "loss": 0.43715, "time": 0.40094} +{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.23553, "decode.acc_seg": 73.61567, "aux.loss_seg": 0.18927, "aux.acc_seg": 67.20473, "loss": 0.42481, "time": 0.41935} +{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.25581, "decode.acc_seg": 72.87363, "aux.loss_seg": 0.20034, "aux.acc_seg": 66.38226, "loss": 0.45615, "time": 0.4023} +{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24592, "decode.acc_seg": 73.23639, "aux.loss_seg": 0.18692, "aux.acc_seg": 67.37591, "loss": 0.43284, "time": 0.40095} +{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24641, "decode.acc_seg": 73.20083, "aux.loss_seg": 0.19123, "aux.acc_seg": 66.95239, "loss": 0.43764, "time": 0.40317} +{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.24328, "decode.acc_seg": 72.60523, "aux.loss_seg": 0.18907, "aux.acc_seg": 66.22412, "loss": 0.43235, "time": 0.39754} +{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.24307, "decode.acc_seg": 73.72665, "aux.loss_seg": 0.19722, "aux.acc_seg": 67.05583, "loss": 0.44029, "time": 0.40053} +{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24366, "decode.acc_seg": 73.33596, "aux.loss_seg": 0.20361, "aux.acc_seg": 66.11686, "loss": 0.44727, "time": 0.38992} +{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.24435, "decode.acc_seg": 73.20239, "aux.loss_seg": 0.19159, "aux.acc_seg": 67.06298, "loss": 0.43594, "time": 0.3935} +{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2411, "decode.acc_seg": 73.06473, "aux.loss_seg": 0.19602, "aux.acc_seg": 66.25991, "loss": 0.43713, "time": 0.3916} +{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.23907, "decode.acc_seg": 71.8848, "aux.loss_seg": 0.19291, "aux.acc_seg": 65.40843, "loss": 0.43198, "time": 0.39175} +{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23484, "decode.acc_seg": 73.65959, "aux.loss_seg": 0.19364, "aux.acc_seg": 66.97685, "loss": 0.42848, "time": 0.39176} +{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.23251, "decode.acc_seg": 72.36935, "aux.loss_seg": 0.1872, "aux.acc_seg": 66.17193, "loss": 0.41972, "time": 0.39214} +{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.23928, "decode.acc_seg": 71.82874, "aux.loss_seg": 0.18847, "aux.acc_seg": 65.73051, "loss": 0.42775, "time": 0.39503} +{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 17837, "data_time": 0.24552, "decode.loss_seg": 0.2315, "decode.acc_seg": 72.2267, "aux.loss_seg": 0.18846, "aux.acc_seg": 65.9479, "loss": 0.41996, "time": 0.63505} +{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.24001, "decode.acc_seg": 73.60976, "aux.loss_seg": 0.19102, "aux.acc_seg": 67.32244, "loss": 0.43103, "time": 0.40568} +{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.23045, "decode.acc_seg": 72.69218, "aux.loss_seg": 0.18486, "aux.acc_seg": 66.50367, "loss": 0.4153, "time": 0.41668} +{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2415, "decode.acc_seg": 72.69992, "aux.loss_seg": 0.19549, "aux.acc_seg": 66.16147, "loss": 0.437, "time": 0.41251} +{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24335, "decode.acc_seg": 72.37864, "aux.loss_seg": 0.19307, "aux.acc_seg": 65.75796, "loss": 0.43643, "time": 0.39824} +{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.23382, "decode.acc_seg": 73.33443, "aux.loss_seg": 0.19271, "aux.acc_seg": 66.57406, "loss": 0.42653, "time": 0.403} +{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.24845, "decode.acc_seg": 73.06032, "aux.loss_seg": 0.19915, "aux.acc_seg": 66.37837, "loss": 0.44759, "time": 0.39954} +{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.23887, "decode.acc_seg": 72.05454, "aux.loss_seg": 0.18799, "aux.acc_seg": 65.87889, "loss": 0.42686, "time": 0.39703} +{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.2492, "decode.acc_seg": 72.23336, "aux.loss_seg": 0.19644, "aux.acc_seg": 65.97201, "loss": 0.44564, "time": 0.40543} +{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23604, "decode.acc_seg": 72.43931, "aux.loss_seg": 0.19118, "aux.acc_seg": 65.65967, "loss": 0.42722, "time": 0.39499} +{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24298, "decode.acc_seg": 72.77067, "aux.loss_seg": 0.19078, "aux.acc_seg": 66.342, "loss": 0.43376, "time": 0.39342} +{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24545, "decode.acc_seg": 73.92999, "aux.loss_seg": 0.19843, "aux.acc_seg": 67.18044, "loss": 0.44387, "time": 0.39534} +{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.23573, "decode.acc_seg": 72.74347, "aux.loss_seg": 0.18837, "aux.acc_seg": 66.48682, "loss": 0.42409, "time": 0.39395} +{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.24523, "decode.acc_seg": 73.65514, "aux.loss_seg": 0.19753, "aux.acc_seg": 66.85703, "loss": 0.44276, "time": 0.41463} +{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23999, "decode.acc_seg": 73.71248, "aux.loss_seg": 0.19605, "aux.acc_seg": 66.77922, "loss": 0.43604, "time": 0.4043} +{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23749, "decode.acc_seg": 72.56071, "aux.loss_seg": 0.1893, "aux.acc_seg": 66.10033, "loss": 0.42679, "time": 0.39114} +{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.23646, "decode.acc_seg": 71.33, "aux.loss_seg": 0.18552, "aux.acc_seg": 65.13386, "loss": 0.42199, "time": 0.41049} +{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.25093, "decode.acc_seg": 73.52958, "aux.loss_seg": 0.18983, "aux.acc_seg": 67.5744, "loss": 0.44075, "time": 0.39324} +{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.24801, "decode.acc_seg": 73.57386, "aux.loss_seg": 0.20308, "aux.acc_seg": 66.64444, "loss": 0.45109, "time": 0.39262} +{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23151, "decode.acc_seg": 73.4944, "aux.loss_seg": 0.18598, "aux.acc_seg": 67.31749, "loss": 0.4175, "time": 0.39969} +{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24758, "decode.acc_seg": 73.36864, "aux.loss_seg": 0.19166, "aux.acc_seg": 66.98465, "loss": 0.43923, "time": 0.40332} +{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23566, "decode.acc_seg": 73.3864, "aux.loss_seg": 0.18754, "aux.acc_seg": 67.14374, "loss": 0.4232, "time": 0.3976} +{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.24846, "decode.acc_seg": 72.72292, "aux.loss_seg": 0.19789, "aux.acc_seg": 66.00203, "loss": 0.44635, "time": 0.40031} +{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.2547, "decode.acc_seg": 71.72288, "aux.loss_seg": 0.20086, "aux.acc_seg": 65.30609, "loss": 0.45556, "time": 0.40428} +{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24545, "decode.acc_seg": 73.78811, "aux.loss_seg": 0.20503, "aux.acc_seg": 66.68784, "loss": 0.45047, "time": 0.40056} +{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.2423, "decode.acc_seg": 72.2374, "aux.loss_seg": 0.19118, "aux.acc_seg": 65.96288, "loss": 0.43347, "time": 0.39295} +{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 17837, "data_time": 0.24276, "decode.loss_seg": 0.2385, "decode.acc_seg": 72.44365, "aux.loss_seg": 0.18904, "aux.acc_seg": 65.96318, "loss": 0.42754, "time": 0.63346} +{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.23407, "decode.acc_seg": 73.30021, "aux.loss_seg": 0.1866, "aux.acc_seg": 67.17471, "loss": 0.42067, "time": 0.39821} +{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.24606, "decode.acc_seg": 71.99855, "aux.loss_seg": 0.19179, "aux.acc_seg": 65.89238, "loss": 0.43785, "time": 0.40273} +{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.22583, "decode.acc_seg": 72.28427, "aux.loss_seg": 0.18059, "aux.acc_seg": 66.28934, "loss": 0.40642, "time": 0.39341} +{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.24324, "decode.acc_seg": 73.14066, "aux.loss_seg": 0.19652, "aux.acc_seg": 66.6061, "loss": 0.43976, "time": 0.39798} +{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.24739, "decode.acc_seg": 72.67445, "aux.loss_seg": 0.19769, "aux.acc_seg": 66.07957, "loss": 0.44508, "time": 0.40271} +{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.23745, "decode.acc_seg": 73.95538, "aux.loss_seg": 0.19035, "aux.acc_seg": 67.38415, "loss": 0.42779, "time": 0.40444} +{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.2273, "decode.acc_seg": 72.89208, "aux.loss_seg": 0.18989, "aux.acc_seg": 66.40609, "loss": 0.41719, "time": 0.39579} +{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.25009, "decode.acc_seg": 72.4434, "aux.loss_seg": 0.19681, "aux.acc_seg": 66.23942, "loss": 0.4469, "time": 0.39637} +{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.24884, "decode.acc_seg": 72.48994, "aux.loss_seg": 0.19961, "aux.acc_seg": 65.87188, "loss": 0.44845, "time": 0.39632} +{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.24761, "decode.acc_seg": 71.63266, "aux.loss_seg": 0.19514, "aux.acc_seg": 65.14969, "loss": 0.44275, "time": 0.39482} +{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.24527, "decode.acc_seg": 73.74851, "aux.loss_seg": 0.18838, "aux.acc_seg": 67.59582, "loss": 0.43365, "time": 0.39856} +{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24289, "decode.acc_seg": 72.32247, "aux.loss_seg": 0.19583, "aux.acc_seg": 65.99781, "loss": 0.43873, "time": 0.40504} +{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.24663, "decode.acc_seg": 72.76241, "aux.loss_seg": 0.20046, "aux.acc_seg": 66.09826, "loss": 0.44709, "time": 0.40927} +{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25133, "decode.acc_seg": 73.12292, "aux.loss_seg": 0.20723, "aux.acc_seg": 66.0698, "loss": 0.45856, "time": 0.41478} +{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.24698, "decode.acc_seg": 73.00182, "aux.loss_seg": 0.19637, "aux.acc_seg": 66.33069, "loss": 0.44335, "time": 0.40722} +{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.23714, "decode.acc_seg": 72.93007, "aux.loss_seg": 0.18824, "aux.acc_seg": 66.69289, "loss": 0.42538, "time": 0.41651} +{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.24179, "decode.acc_seg": 72.76872, "aux.loss_seg": 0.19547, "aux.acc_seg": 66.3128, "loss": 0.43726, "time": 0.40223} +{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2345, "decode.acc_seg": 72.26367, "aux.loss_seg": 0.19812, "aux.acc_seg": 65.4145, "loss": 0.43262, "time": 0.41313} +{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.24564, "decode.acc_seg": 73.00687, "aux.loss_seg": 0.19305, "aux.acc_seg": 66.68858, "loss": 0.43869, "time": 0.41913} +{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.24021, "decode.acc_seg": 73.46449, "aux.loss_seg": 0.19631, "aux.acc_seg": 66.64926, "loss": 0.43652, "time": 0.40207} +{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.23218, "decode.acc_seg": 73.76381, "aux.loss_seg": 0.19423, "aux.acc_seg": 67.05198, "loss": 0.4264, "time": 0.41291} +{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.25133, "decode.acc_seg": 72.2348, "aux.loss_seg": 0.19663, "aux.acc_seg": 65.9586, "loss": 0.44796, "time": 0.41265} +{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.23248, "decode.acc_seg": 73.56218, "aux.loss_seg": 0.19029, "aux.acc_seg": 67.0803, "loss": 0.42277, "time": 0.39728} +{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.22927, "decode.acc_seg": 73.70059, "aux.loss_seg": 0.18981, "aux.acc_seg": 67.12872, "loss": 0.41908, "time": 0.40353} +{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 17837, "data_time": 0.24156, "decode.loss_seg": 0.23516, "decode.acc_seg": 72.87664, "aux.loss_seg": 0.18893, "aux.acc_seg": 66.44061, "loss": 0.42409, "time": 0.6258} +{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2446, "decode.acc_seg": 73.5657, "aux.loss_seg": 0.20231, "aux.acc_seg": 66.52502, "loss": 0.4469, "time": 0.39208} +{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24856, "decode.acc_seg": 72.08624, "aux.loss_seg": 0.20187, "aux.acc_seg": 65.26345, "loss": 0.45043, "time": 0.39163} +{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.24066, "decode.acc_seg": 72.11653, "aux.loss_seg": 0.18859, "aux.acc_seg": 65.84548, "loss": 0.42925, "time": 0.39974} +{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23184, "decode.acc_seg": 71.54203, "aux.loss_seg": 0.18618, "aux.acc_seg": 65.23738, "loss": 0.41802, "time": 0.40628} +{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.25733, "decode.acc_seg": 71.77549, "aux.loss_seg": 0.19848, "aux.acc_seg": 65.28202, "loss": 0.45581, "time": 0.3952} +{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.2374, "decode.acc_seg": 72.58913, "aux.loss_seg": 0.19124, "aux.acc_seg": 66.23649, "loss": 0.42863, "time": 0.39564} +{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23164, "decode.acc_seg": 74.32445, "aux.loss_seg": 0.19772, "aux.acc_seg": 67.36392, "loss": 0.42936, "time": 0.41349} +{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.2362, "decode.acc_seg": 72.85152, "aux.loss_seg": 0.19463, "aux.acc_seg": 66.21906, "loss": 0.43083, "time": 0.4036} +{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.23066, "decode.acc_seg": 71.87851, "aux.loss_seg": 0.18413, "aux.acc_seg": 65.80167, "loss": 0.41479, "time": 0.39656} +{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24897, "decode.acc_seg": 73.02844, "aux.loss_seg": 0.19435, "aux.acc_seg": 66.44364, "loss": 0.44332, "time": 0.39716} +{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.22546, "decode.acc_seg": 73.82944, "aux.loss_seg": 0.18632, "aux.acc_seg": 67.20305, "loss": 0.41178, "time": 0.39723} +{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23587, "decode.acc_seg": 73.23749, "aux.loss_seg": 0.19026, "aux.acc_seg": 66.72518, "loss": 0.42614, "time": 0.41056} +{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25717, "decode.acc_seg": 74.84233, "aux.loss_seg": 0.1962, "aux.acc_seg": 68.70882, "loss": 0.45338, "time": 0.39339} +{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.22951, "decode.acc_seg": 72.99221, "aux.loss_seg": 0.184, "aux.acc_seg": 66.99574, "loss": 0.41351, "time": 0.39449} +{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24534, "decode.acc_seg": 72.41263, "aux.loss_seg": 0.19342, "aux.acc_seg": 66.07681, "loss": 0.43875, "time": 0.39335} +{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.24328, "decode.acc_seg": 73.82851, "aux.loss_seg": 0.19336, "aux.acc_seg": 67.69458, "loss": 0.43664, "time": 0.39531} +{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23657, "decode.acc_seg": 73.17822, "aux.loss_seg": 0.18965, "aux.acc_seg": 66.76004, "loss": 0.42622, "time": 0.4016} +{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.24011, "decode.acc_seg": 73.12673, "aux.loss_seg": 0.19385, "aux.acc_seg": 66.49123, "loss": 0.43396, "time": 0.40041} +{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.26294, "decode.acc_seg": 72.49221, "aux.loss_seg": 0.20254, "aux.acc_seg": 65.89223, "loss": 0.46548, "time": 0.40101} +{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.24608, "decode.acc_seg": 72.48797, "aux.loss_seg": 0.19595, "aux.acc_seg": 65.7549, "loss": 0.44203, "time": 0.39805} +{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.23725, "decode.acc_seg": 72.27326, "aux.loss_seg": 0.19934, "aux.acc_seg": 65.20841, "loss": 0.43659, "time": 0.40378} +{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24574, "decode.acc_seg": 72.8883, "aux.loss_seg": 0.19614, "aux.acc_seg": 66.33368, "loss": 0.44188, "time": 0.40243} +{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23276, "decode.acc_seg": 72.69578, "aux.loss_seg": 0.19072, "aux.acc_seg": 66.04524, "loss": 0.42348, "time": 0.41694} +{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23257, "decode.acc_seg": 73.47916, "aux.loss_seg": 0.18293, "aux.acc_seg": 67.32309, "loss": 0.41551, "time": 0.4135} +{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 17837, "data_time": 0.24497, "decode.loss_seg": 0.23816, "decode.acc_seg": 72.62161, "aux.loss_seg": 0.1956, "aux.acc_seg": 65.696, "loss": 0.43376, "time": 0.64447} +{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.24223, "decode.acc_seg": 72.83762, "aux.loss_seg": 0.19259, "aux.acc_seg": 66.33381, "loss": 0.43482, "time": 0.39683} +{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 17837, "data_time": 0.00681, "decode.loss_seg": 0.24487, "decode.acc_seg": 72.41462, "aux.loss_seg": 0.19763, "aux.acc_seg": 65.90056, "loss": 0.44251, "time": 0.3993} +{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.22923, "decode.acc_seg": 73.75042, "aux.loss_seg": 0.18632, "aux.acc_seg": 67.76208, "loss": 0.41555, "time": 0.3998} +{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24241, "decode.acc_seg": 71.3987, "aux.loss_seg": 0.19001, "aux.acc_seg": 65.03964, "loss": 0.43242, "time": 0.39639} +{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23998, "decode.acc_seg": 73.58899, "aux.loss_seg": 0.19556, "aux.acc_seg": 66.83334, "loss": 0.43554, "time": 0.39424} +{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 17837, "data_time": 0.00677, "decode.loss_seg": 0.24008, "decode.acc_seg": 73.21177, "aux.loss_seg": 0.19011, "aux.acc_seg": 66.69635, "loss": 0.43019, "time": 0.40527} +{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.25028, "decode.acc_seg": 73.14715, "aux.loss_seg": 0.195, "aux.acc_seg": 66.87298, "loss": 0.44528, "time": 0.39484} +{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.22511, "decode.acc_seg": 71.25854, "aux.loss_seg": 0.18128, "aux.acc_seg": 64.94578, "loss": 0.40639, "time": 0.40423} +{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23437, "decode.acc_seg": 73.85414, "aux.loss_seg": 0.19078, "aux.acc_seg": 67.55957, "loss": 0.42515, "time": 0.3944} +{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.23678, "decode.acc_seg": 72.5361, "aux.loss_seg": 0.18893, "aux.acc_seg": 66.19286, "loss": 0.42571, "time": 0.40598} +{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23426, "decode.acc_seg": 72.16791, "aux.loss_seg": 0.18634, "aux.acc_seg": 65.99065, "loss": 0.4206, "time": 0.41254} +{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.23868, "decode.acc_seg": 71.50779, "aux.loss_seg": 0.19055, "aux.acc_seg": 65.0303, "loss": 0.42923, "time": 0.39584} +{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.23715, "decode.acc_seg": 73.93916, "aux.loss_seg": 0.19686, "aux.acc_seg": 66.91516, "loss": 0.43401, "time": 0.42337} +{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.24132, "decode.acc_seg": 72.50715, "aux.loss_seg": 0.1962, "aux.acc_seg": 65.84151, "loss": 0.43752, "time": 0.40478} +{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24553, "decode.acc_seg": 73.87314, "aux.loss_seg": 0.19694, "aux.acc_seg": 67.46693, "loss": 0.44247, "time": 0.3978} +{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.24556, "decode.acc_seg": 72.73886, "aux.loss_seg": 0.1884, "aux.acc_seg": 66.72189, "loss": 0.43396, "time": 0.39861} +{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.25293, "decode.acc_seg": 71.72922, "aux.loss_seg": 0.19183, "aux.acc_seg": 65.78692, "loss": 0.44476, "time": 0.41235} +{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23369, "decode.acc_seg": 71.88249, "aux.loss_seg": 0.19061, "aux.acc_seg": 65.51781, "loss": 0.42429, "time": 0.39767} +{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.24291, "decode.acc_seg": 72.1651, "aux.loss_seg": 0.18649, "aux.acc_seg": 65.99747, "loss": 0.42941, "time": 0.41129} +{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 17837, "data_time": 0.0071, "decode.loss_seg": 0.2421, "decode.acc_seg": 73.00353, "aux.loss_seg": 0.19125, "aux.acc_seg": 66.57478, "loss": 0.43335, "time": 0.39649} +{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24704, "decode.acc_seg": 72.46881, "aux.loss_seg": 0.19366, "aux.acc_seg": 66.15312, "loss": 0.44069, "time": 0.39578} +{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24796, "decode.acc_seg": 72.91209, "aux.loss_seg": 0.20091, "aux.acc_seg": 65.99185, "loss": 0.44887, "time": 0.39535} +{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24287, "decode.acc_seg": 72.45423, "aux.loss_seg": 0.1942, "aux.acc_seg": 65.95991, "loss": 0.43707, "time": 0.39468} +{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.23608, "decode.acc_seg": 73.83486, "aux.loss_seg": 0.18911, "aux.acc_seg": 67.50381, "loss": 0.42519, "time": 0.40309} +{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 17837, "data_time": 0.23753, "decode.loss_seg": 0.25014, "decode.acc_seg": 72.23086, "aux.loss_seg": 0.2021, "aux.acc_seg": 65.47062, "loss": 0.45224, "time": 0.62599} +{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.2237, "decode.acc_seg": 72.26961, "aux.loss_seg": 0.18103, "aux.acc_seg": 66.0329, "loss": 0.40472, "time": 0.39167} +{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.22179, "decode.acc_seg": 73.58943, "aux.loss_seg": 0.18494, "aux.acc_seg": 67.28857, "loss": 0.40673, "time": 0.39684} +{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23861, "decode.acc_seg": 72.68827, "aux.loss_seg": 0.19345, "aux.acc_seg": 66.10652, "loss": 0.43206, "time": 0.39591} +{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24562, "decode.acc_seg": 74.14085, "aux.loss_seg": 0.19673, "aux.acc_seg": 67.57372, "loss": 0.44235, "time": 0.40804} +{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.22986, "decode.acc_seg": 72.85292, "aux.loss_seg": 0.19521, "aux.acc_seg": 66.18968, "loss": 0.42506, "time": 0.39672} +{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.23914, "decode.acc_seg": 73.61832, "aux.loss_seg": 0.19795, "aux.acc_seg": 66.7607, "loss": 0.43709, "time": 0.40335} +{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.22915, "decode.acc_seg": 73.4554, "aux.loss_seg": 0.17686, "aux.acc_seg": 67.87822, "loss": 0.40601, "time": 0.39702} +{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23683, "decode.acc_seg": 71.4003, "aux.loss_seg": 0.18698, "aux.acc_seg": 65.32725, "loss": 0.42381, "time": 0.41458} +{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.23874, "decode.acc_seg": 72.79656, "aux.loss_seg": 0.19514, "aux.acc_seg": 66.02788, "loss": 0.43388, "time": 0.40442} +{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.22487, "decode.acc_seg": 73.48181, "aux.loss_seg": 0.18281, "aux.acc_seg": 67.17075, "loss": 0.40767, "time": 0.41149} +{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23005, "decode.acc_seg": 71.02995, "aux.loss_seg": 0.18407, "aux.acc_seg": 64.9519, "loss": 0.41412, "time": 0.39783} +{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23573, "decode.acc_seg": 73.1599, "aux.loss_seg": 0.19277, "aux.acc_seg": 66.51491, "loss": 0.4285, "time": 0.4149} +{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23724, "decode.acc_seg": 72.30805, "aux.loss_seg": 0.18362, "aux.acc_seg": 66.40312, "loss": 0.42086, "time": 0.39749} +{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.22467, "decode.acc_seg": 72.98786, "aux.loss_seg": 0.18671, "aux.acc_seg": 66.60955, "loss": 0.41138, "time": 0.39969} +{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.23716, "decode.acc_seg": 73.71009, "aux.loss_seg": 0.18319, "aux.acc_seg": 67.83969, "loss": 0.42035, "time": 0.39478} +{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23038, "decode.acc_seg": 71.66453, "aux.loss_seg": 0.18651, "aux.acc_seg": 65.39707, "loss": 0.41689, "time": 0.3967} +{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.23907, "decode.acc_seg": 73.25236, "aux.loss_seg": 0.18531, "aux.acc_seg": 67.40782, "loss": 0.42437, "time": 0.42054} +{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 17837, "data_time": 0.00705, "decode.loss_seg": 0.24242, "decode.acc_seg": 72.72193, "aux.loss_seg": 0.19685, "aux.acc_seg": 66.24529, "loss": 0.43928, "time": 0.40003} +{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24362, "decode.acc_seg": 73.97284, "aux.loss_seg": 0.19494, "aux.acc_seg": 67.43942, "loss": 0.43856, "time": 0.39222} +{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.23182, "decode.acc_seg": 71.98767, "aux.loss_seg": 0.1829, "aux.acc_seg": 65.90632, "loss": 0.41472, "time": 0.39963} +{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24947, "decode.acc_seg": 73.07812, "aux.loss_seg": 0.1972, "aux.acc_seg": 66.52626, "loss": 0.44667, "time": 0.39635} +{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24664, "decode.acc_seg": 73.05813, "aux.loss_seg": 0.19363, "aux.acc_seg": 66.46509, "loss": 0.44027, "time": 0.39948} +{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24201, "decode.acc_seg": 72.19821, "aux.loss_seg": 0.19992, "aux.acc_seg": 65.43458, "loss": 0.44193, "time": 0.39333} +{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 17837, "data_time": 0.00694, "decode.loss_seg": 0.24051, "decode.acc_seg": 74.31371, "aux.loss_seg": 0.19759, "aux.acc_seg": 67.57023, "loss": 0.4381, "time": 0.40833} +{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23713, "decode.acc_seg": 74.2747, "aux.loss_seg": 0.189, "aux.acc_seg": 68.13135, "loss": 0.42613, "time": 0.39582} +{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 17837, "data_time": 0.24268, "decode.loss_seg": 0.22903, "decode.acc_seg": 72.58165, "aux.loss_seg": 0.18859, "aux.acc_seg": 65.78957, "loss": 0.41762, "time": 0.63378} +{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.23817, "decode.acc_seg": 72.72621, "aux.loss_seg": 0.18352, "aux.acc_seg": 67.06842, "loss": 0.42169, "time": 0.39692} +{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.23896, "decode.acc_seg": 72.87676, "aux.loss_seg": 0.18931, "aux.acc_seg": 66.62117, "loss": 0.42828, "time": 0.41582} +{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23121, "decode.acc_seg": 73.87333, "aux.loss_seg": 0.18766, "aux.acc_seg": 67.08798, "loss": 0.41888, "time": 0.39655} +{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.23929, "decode.acc_seg": 72.714, "aux.loss_seg": 0.1916, "aux.acc_seg": 66.31811, "loss": 0.43088, "time": 0.40884} +{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24375, "decode.acc_seg": 74.2376, "aux.loss_seg": 0.19598, "aux.acc_seg": 67.52535, "loss": 0.43973, "time": 0.39891} +{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.24506, "decode.acc_seg": 72.7625, "aux.loss_seg": 0.18991, "aux.acc_seg": 66.74154, "loss": 0.43497, "time": 0.41888} +{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.23686, "decode.acc_seg": 72.30249, "aux.loss_seg": 0.19044, "aux.acc_seg": 65.84883, "loss": 0.4273, "time": 0.39473} +{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.24919, "decode.acc_seg": 71.97751, "aux.loss_seg": 0.19335, "aux.acc_seg": 65.77515, "loss": 0.44254, "time": 0.39671} +{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23002, "decode.acc_seg": 72.16334, "aux.loss_seg": 0.1968, "aux.acc_seg": 65.08467, "loss": 0.42682, "time": 0.41992} +{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23578, "decode.acc_seg": 72.78352, "aux.loss_seg": 0.19137, "aux.acc_seg": 66.29693, "loss": 0.42714, "time": 0.39923} +{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.2365, "decode.acc_seg": 72.20191, "aux.loss_seg": 0.18265, "aux.acc_seg": 65.95358, "loss": 0.41915, "time": 0.40065} +{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.241, "decode.acc_seg": 72.47003, "aux.loss_seg": 0.18999, "aux.acc_seg": 66.01832, "loss": 0.43099, "time": 0.39772} +{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.23042, "decode.acc_seg": 74.08987, "aux.loss_seg": 0.18436, "aux.acc_seg": 67.90164, "loss": 0.41477, "time": 0.39741} +{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.23509, "decode.acc_seg": 73.55996, "aux.loss_seg": 0.19332, "aux.acc_seg": 66.73041, "loss": 0.42841, "time": 0.3922} +{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23519, "decode.acc_seg": 73.31364, "aux.loss_seg": 0.19432, "aux.acc_seg": 66.27318, "loss": 0.42951, "time": 0.40246} +{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.24157, "decode.acc_seg": 74.68325, "aux.loss_seg": 0.1915, "aux.acc_seg": 68.41822, "loss": 0.43306, "time": 0.39442} +{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.24151, "decode.acc_seg": 73.12801, "aux.loss_seg": 0.20049, "aux.acc_seg": 66.1542, "loss": 0.44199, "time": 0.4044} +{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.23777, "decode.acc_seg": 71.95536, "aux.loss_seg": 0.18744, "aux.acc_seg": 65.53594, "loss": 0.42521, "time": 0.39047} +{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23471, "decode.acc_seg": 72.65193, "aux.loss_seg": 0.19313, "aux.acc_seg": 66.4829, "loss": 0.42784, "time": 0.40557} +{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23451, "decode.acc_seg": 72.66636, "aux.loss_seg": 0.18191, "aux.acc_seg": 66.63354, "loss": 0.41641, "time": 0.40991} +{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.24711, "decode.acc_seg": 71.74533, "aux.loss_seg": 0.1988, "aux.acc_seg": 65.02155, "loss": 0.44591, "time": 0.40612} +{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23322, "decode.acc_seg": 73.17617, "aux.loss_seg": 0.19207, "aux.acc_seg": 66.50878, "loss": 0.42529, "time": 0.39934} +{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.23842, "decode.acc_seg": 72.49351, "aux.loss_seg": 0.18372, "aux.acc_seg": 66.75604, "loss": 0.42213, "time": 0.40939} +{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.25096, "decode.acc_seg": 74.41238, "aux.loss_seg": 0.19989, "aux.acc_seg": 67.94327, "loss": 0.45085, "time": 0.39192} +{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 17837, "data_time": 0.24517, "decode.loss_seg": 0.23705, "decode.acc_seg": 71.63977, "aux.loss_seg": 0.18776, "aux.acc_seg": 65.47608, "loss": 0.4248, "time": 0.63219} +{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.24122, "decode.acc_seg": 71.70665, "aux.loss_seg": 0.19534, "aux.acc_seg": 65.06785, "loss": 0.43655, "time": 0.39604} +{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.24514, "decode.acc_seg": 72.72717, "aux.loss_seg": 0.20045, "aux.acc_seg": 66.08358, "loss": 0.44559, "time": 0.39821} +{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.25244, "decode.acc_seg": 71.6632, "aux.loss_seg": 0.20511, "aux.acc_seg": 64.64109, "loss": 0.45756, "time": 0.40429} +{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.2468, "decode.acc_seg": 73.68254, "aux.loss_seg": 0.19155, "aux.acc_seg": 67.46651, "loss": 0.43835, "time": 0.4136} +{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23394, "decode.acc_seg": 73.90235, "aux.loss_seg": 0.19533, "aux.acc_seg": 66.90569, "loss": 0.42926, "time": 0.40675} +{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.2324, "decode.acc_seg": 73.97315, "aux.loss_seg": 0.1855, "aux.acc_seg": 67.85375, "loss": 0.41789, "time": 0.41873} +{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.2405, "decode.acc_seg": 75.14391, "aux.loss_seg": 0.18899, "aux.acc_seg": 68.67308, "loss": 0.4295, "time": 0.39324} +{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24106, "decode.acc_seg": 72.43379, "aux.loss_seg": 0.18963, "aux.acc_seg": 66.13035, "loss": 0.43069, "time": 0.39952} +{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.228, "decode.acc_seg": 72.83595, "aux.loss_seg": 0.18398, "aux.acc_seg": 66.79539, "loss": 0.41198, "time": 0.39856} +{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24157, "decode.acc_seg": 73.86224, "aux.loss_seg": 0.19157, "aux.acc_seg": 67.27176, "loss": 0.43314, "time": 0.40052} +{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23438, "decode.acc_seg": 73.72253, "aux.loss_seg": 0.18959, "aux.acc_seg": 66.96785, "loss": 0.42396, "time": 0.39235} +{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23181, "decode.acc_seg": 72.22157, "aux.loss_seg": 0.1864, "aux.acc_seg": 66.00366, "loss": 0.41822, "time": 0.3986} +{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.22953, "decode.acc_seg": 72.30965, "aux.loss_seg": 0.17866, "aux.acc_seg": 66.45939, "loss": 0.40819, "time": 0.40236} +{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.22996, "decode.acc_seg": 73.94131, "aux.loss_seg": 0.1821, "aux.acc_seg": 67.8546, "loss": 0.41206, "time": 0.39523} +{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24371, "decode.acc_seg": 73.29338, "aux.loss_seg": 0.19843, "aux.acc_seg": 66.74846, "loss": 0.44214, "time": 0.4014} +{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.23051, "decode.acc_seg": 72.083, "aux.loss_seg": 0.1826, "aux.acc_seg": 65.87896, "loss": 0.41311, "time": 0.39256} +{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.22635, "decode.acc_seg": 72.22001, "aux.loss_seg": 0.18527, "aux.acc_seg": 65.96019, "loss": 0.41163, "time": 0.39249} +{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2308, "decode.acc_seg": 73.5527, "aux.loss_seg": 0.19271, "aux.acc_seg": 66.65907, "loss": 0.42351, "time": 0.39649} +{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23031, "decode.acc_seg": 73.0113, "aux.loss_seg": 0.18879, "aux.acc_seg": 66.41157, "loss": 0.4191, "time": 0.39632} +{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23721, "decode.acc_seg": 72.08986, "aux.loss_seg": 0.19272, "aux.acc_seg": 65.44377, "loss": 0.42993, "time": 0.39647} +{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23111, "decode.acc_seg": 73.5689, "aux.loss_seg": 0.18992, "aux.acc_seg": 66.99341, "loss": 0.42103, "time": 0.39622} +{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.22999, "decode.acc_seg": 72.87052, "aux.loss_seg": 0.18438, "aux.acc_seg": 66.48491, "loss": 0.41437, "time": 0.40901} +{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24001, "decode.acc_seg": 73.06017, "aux.loss_seg": 0.19609, "aux.acc_seg": 66.52, "loss": 0.4361, "time": 0.42127} +{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23969, "decode.acc_seg": 70.94354, "aux.loss_seg": 0.19612, "aux.acc_seg": 64.30383, "loss": 0.43581, "time": 0.41447} +{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4573, "mAcc": 0.5766, "aAcc": 0.8134, "IoU.wall": 0.7525, "IoU.building": 0.8018, "IoU.sky": 0.9376, "IoU.floor": 0.7953, "IoU.tree": 0.7309, "IoU.ceiling": 0.8243, "IoU.road": 0.8094, "IoU.bed ": 0.8576, "IoU.windowpane": 0.6063, "IoU.grass": 0.646, "IoU.cabinet": 0.5813, "IoU.sidewalk": 0.6171, "IoU.person": 0.7546, "IoU.earth": 0.338, "IoU.door": 0.4087, "IoU.table": 0.5472, "IoU.mountain": 0.5859, "IoU.plant": 0.5028, "IoU.curtain": 0.6753, "IoU.chair": 0.5122, "IoU.car": 0.8188, "IoU.water": 0.5009, "IoU.painting": 0.6947, "IoU.sofa": 0.5791, "IoU.shelf": 0.3843, "IoU.house": 0.4674, "IoU.sea": 0.5246, "IoU.mirror": 0.5853, "IoU.rug": 0.6316, "IoU.field": 0.2827, "IoU.armchair": 0.3481, "IoU.seat": 0.5835, "IoU.fence": 0.4281, "IoU.desk": 0.4636, "IoU.rock": 0.4165, "IoU.wardrobe": 0.4391, "IoU.lamp": 0.5691, "IoU.bathtub": 0.7299, "IoU.railing": 0.3299, "IoU.cushion": 0.524, "IoU.base": 0.3014, "IoU.box": 0.2431, "IoU.column": 0.4023, "IoU.signboard": 0.3245, "IoU.chest of drawers": 0.3723, "IoU.counter": 0.2513, "IoU.sand": 0.4285, "IoU.sink": 0.6831, "IoU.skyscraper": 0.6549, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7138, "IoU.grandstand": 0.469, "IoU.path": 0.1986, "IoU.stairs": 0.2795, "IoU.runway": 0.6852, "IoU.case": 0.4568, "IoU.pool table": 0.9062, "IoU.pillow": 0.5524, "IoU.screen door": 0.5463, "IoU.stairway": 0.2452, "IoU.river": 0.1641, "IoU.bridge": 0.5573, "IoU.bookcase": 0.4486, "IoU.blind": NaN, "IoU.coffee table": 0.5334, "IoU.toilet": 0.8071, "IoU.flower": 0.4134, "IoU.book": 0.4409, "IoU.hill": 0.1169, "IoU.bench": 0.3915, "IoU.countertop": 0.4993, "IoU.stove": 0.6616, "IoU.palm": 0.483, "IoU.kitchen island": 0.3747, "IoU.computer": 0.6657, "IoU.swivel chair": 0.4318, "IoU.boat": 0.3973, "IoU.bar": 0.2883, "IoU.arcade machine": 0.4228, "IoU.hovel": 0.3884, "IoU.bus": 0.7837, "IoU.towel": 0.6027, "IoU.light": 0.5044, "IoU.truck": 0.158, "IoU.tower": 0.2891, "IoU.chandelier": 0.6255, "IoU.awning": 0.2363, "IoU.streetlight": 0.1911, "IoU.booth": 0.5169, "IoU.television receiver": NaN, "IoU.airplane": 0.5322, "IoU.dirt track": 0.1683, "IoU.apparel": 0.2861, "IoU.pole": 0.1429, "IoU.land": 0.0438, "IoU.bannister": 0.0411, "IoU.escalator": 0.3114, "IoU.ottoman": 0.3612, "IoU.bottle": NaN, "IoU.buffet": 0.4645, "IoU.poster": 0.2547, "IoU.stage": 0.1414, "IoU.van": 0.3984, "IoU.ship": 0.5488, "IoU.fountain": 0.1916, "IoU.conveyer belt": 0.765, "IoU.canopy": 0.2001, "IoU.washer": 0.6633, "IoU.plaything": 0.1793, "IoU.swimming pool": 0.5978, "IoU.stool": 0.3757, "IoU.barrel": 0.4941, "IoU.basket": 0.2351, "IoU.waterfall": 0.5145, "IoU.tent": 0.9118, "IoU.bag": 0.0679, "IoU.minibike": 0.7178, "IoU.cradle": NaN, "IoU.oven": 0.3559, "IoU.ball": 0.4547, "IoU.food": 0.5231, "IoU.step": 0.0837, "IoU.tank": 0.5464, "IoU.trade name": 0.2419, "IoU.microwave": 0.759, "IoU.pot": 0.449, "IoU.animal": NaN, "IoU.bicycle": 0.4926, "IoU.lake": 0.5913, "IoU.dishwasher": 0.5688, "IoU.screen": 0.6512, "IoU.blanket": 0.1027, "IoU.sculpture": 0.4999, "IoU.hood": 0.5476, "IoU.sconce": 0.4238, "IoU.vase": 0.3152, "IoU.traffic light": 0.2382, "IoU.tray": 0.0747, "IoU.ashcan": 0.2946, "IoU.fan": 0.5357, "IoU.pier": 0.3399, "IoU.crt screen": 0.0419, "IoU.plate": 0.5362, "IoU.monitor": 0.0806, "IoU.bulletin board": 0.3329, "IoU.shower": 0.009, "IoU.radiator": 0.556, "IoU.glass": 0.1184, "IoU.clock": 0.3479, "IoU.flag": 0.4422, "Acc.wall": 0.87, "Acc.building": 0.8995, "Acc.sky": 0.9736, "Acc.floor": 0.8988, "Acc.tree": 0.8694, "Acc.ceiling": 0.9188, "Acc.road": 0.8917, "Acc.bed ": 0.9477, "Acc.windowpane": 0.7883, "Acc.grass": 0.8463, "Acc.cabinet": 0.7009, "Acc.sidewalk": 0.771, "Acc.person": 0.9022, "Acc.earth": 0.4521, "Acc.door": 0.5358, "Acc.table": 0.7055, "Acc.mountain": 0.7278, "Acc.plant": 0.6116, "Acc.curtain": 0.8238, "Acc.chair": 0.6599, "Acc.car": 0.9018, "Acc.water": 0.6622, "Acc.painting": 0.8667, "Acc.sofa": 0.7912, "Acc.shelf": 0.5494, "Acc.house": 0.7347, "Acc.sea": 0.766, "Acc.mirror": 0.6799, "Acc.rug": 0.6927, "Acc.field": 0.4562, "Acc.armchair": 0.4983, "Acc.seat": 0.7728, "Acc.fence": 0.6066, "Acc.desk": 0.6752, "Acc.rock": 0.6357, "Acc.wardrobe": 0.5978, "Acc.lamp": 0.7007, "Acc.bathtub": 0.8022, "Acc.railing": 0.474, "Acc.cushion": 0.6463, "Acc.base": 0.3846, "Acc.box": 0.3256, "Acc.column": 0.4922, "Acc.signboard": 0.4556, "Acc.chest of drawers": 0.5641, "Acc.counter": 0.3161, "Acc.sand": 0.6503, "Acc.sink": 0.7589, "Acc.skyscraper": 0.8317, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8346, "Acc.grandstand": 0.7499, "Acc.path": 0.301, "Acc.stairs": 0.3412, "Acc.runway": 0.8836, "Acc.case": 0.5905, "Acc.pool table": 0.9622, "Acc.pillow": 0.6629, "Acc.screen door": 0.715, "Acc.stairway": 0.3437, "Acc.river": 0.2848, "Acc.bridge": 0.6739, "Acc.bookcase": 0.541, "Acc.blind": NaN, "Acc.coffee table": 0.783, "Acc.toilet": 0.8909, "Acc.flower": 0.57, "Acc.book": 0.6473, "Acc.hill": 0.1877, "Acc.bench": 0.486, "Acc.countertop": 0.6556, "Acc.stove": 0.8111, "Acc.palm": 0.6683, "Acc.kitchen island": 0.6655, "Acc.computer": 0.7922, "Acc.swivel chair": 0.5505, "Acc.boat": 0.4924, "Acc.bar": 0.3604, "Acc.arcade machine": 0.4492, "Acc.hovel": 0.4364, "Acc.bus": 0.9454, "Acc.towel": 0.7558, "Acc.light": 0.5821, "Acc.truck": 0.2264, "Acc.tower": 0.4396, "Acc.chandelier": 0.795, "Acc.awning": 0.2977, "Acc.streetlight": 0.2576, "Acc.booth": 0.5881, "Acc.television receiver": NaN, "Acc.airplane": 0.6145, "Acc.dirt track": 0.3172, "Acc.apparel": 0.4703, "Acc.pole": 0.1945, "Acc.land": 0.0533, "Acc.bannister": 0.0497, "Acc.escalator": 0.415, "Acc.ottoman": 0.5431, "Acc.bottle": NaN, "Acc.buffet": 0.5432, "Acc.poster": 0.3488, "Acc.stage": 0.2085, "Acc.van": 0.5633, "Acc.ship": 0.8964, "Acc.fountain": 0.1929, "Acc.conveyer belt": 0.8915, "Acc.canopy": 0.2612, "Acc.washer": 0.6939, "Acc.plaything": 0.2808, "Acc.swimming pool": 0.832, "Acc.stool": 0.4794, "Acc.barrel": 0.6911, "Acc.basket": 0.3197, "Acc.waterfall": 0.6291, "Acc.tent": 0.9844, "Acc.bag": 0.086, "Acc.minibike": 0.8566, "Acc.cradle": NaN, "Acc.oven": 0.5496, "Acc.ball": 0.5001, "Acc.food": 0.6244, "Acc.step": 0.1038, "Acc.tank": 0.6308, "Acc.trade name": 0.2915, "Acc.microwave": 0.8311, "Acc.pot": 0.5157, "Acc.animal": NaN, "Acc.bicycle": 0.7085, "Acc.lake": 0.6485, "Acc.dishwasher": 0.6771, "Acc.screen": 0.8338, "Acc.blanket": 0.1201, "Acc.sculpture": 0.6984, "Acc.hood": 0.5993, "Acc.sconce": 0.4987, "Acc.vase": 0.4341, "Acc.traffic light": 0.3648, "Acc.tray": 0.1434, "Acc.ashcan": 0.3612, "Acc.fan": 0.6657, "Acc.pier": 0.4595, "Acc.crt screen": 0.1128, "Acc.plate": 0.6528, "Acc.monitor": 0.0874, "Acc.bulletin board": 0.4586, "Acc.shower": 0.0337, "Acc.radiator": 0.6086, "Acc.glass": 0.1296, "Acc.clock": 0.4454, "Acc.flag": 0.5274} +{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 17837, "data_time": 1.50045, "decode.loss_seg": 0.23439, "decode.acc_seg": 72.77841, "aux.loss_seg": 0.18745, "aux.acc_seg": 66.53764, "loss": 0.42184, "time": 1.88758} +{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.23988, "decode.acc_seg": 74.25621, "aux.loss_seg": 0.19529, "aux.acc_seg": 67.72719, "loss": 0.43517, "time": 0.39391} +{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.24386, "decode.acc_seg": 73.05223, "aux.loss_seg": 0.19593, "aux.acc_seg": 66.42159, "loss": 0.43979, "time": 0.40237} +{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.22456, "decode.acc_seg": 74.26763, "aux.loss_seg": 0.18108, "aux.acc_seg": 67.9432, "loss": 0.40564, "time": 0.4007} +{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.23763, "decode.acc_seg": 70.89109, "aux.loss_seg": 0.19156, "aux.acc_seg": 64.14738, "loss": 0.42918, "time": 0.40816} +{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.23626, "decode.acc_seg": 73.73087, "aux.loss_seg": 0.19269, "aux.acc_seg": 67.14279, "loss": 0.42895, "time": 0.39936} +{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.24392, "decode.acc_seg": 74.42526, "aux.loss_seg": 0.19916, "aux.acc_seg": 67.92222, "loss": 0.44308, "time": 0.40129} +{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.22882, "decode.acc_seg": 72.66369, "aux.loss_seg": 0.18374, "aux.acc_seg": 66.45974, "loss": 0.41256, "time": 0.41454} +{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23704, "decode.acc_seg": 72.41558, "aux.loss_seg": 0.1922, "aux.acc_seg": 66.09301, "loss": 0.42924, "time": 0.39633} +{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.22956, "decode.acc_seg": 71.9151, "aux.loss_seg": 0.18263, "aux.acc_seg": 65.82928, "loss": 0.41219, "time": 0.40228} +{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24291, "decode.acc_seg": 73.60819, "aux.loss_seg": 0.20166, "aux.acc_seg": 66.92414, "loss": 0.44457, "time": 0.40307} +{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.22749, "decode.acc_seg": 72.25069, "aux.loss_seg": 0.17983, "aux.acc_seg": 66.12064, "loss": 0.40731, "time": 0.40799} +{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23978, "decode.acc_seg": 74.02599, "aux.loss_seg": 0.18595, "aux.acc_seg": 68.18222, "loss": 0.42573, "time": 0.39782} +{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23308, "decode.acc_seg": 72.93263, "aux.loss_seg": 0.19929, "aux.acc_seg": 65.8676, "loss": 0.43237, "time": 0.39845} +{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23518, "decode.acc_seg": 72.24898, "aux.loss_seg": 0.19201, "aux.acc_seg": 65.69284, "loss": 0.4272, "time": 0.3975} +{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23439, "decode.acc_seg": 74.0632, "aux.loss_seg": 0.19006, "aux.acc_seg": 67.45721, "loss": 0.42445, "time": 0.40425} +{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.22022, "decode.acc_seg": 73.81225, "aux.loss_seg": 0.17985, "aux.acc_seg": 67.60323, "loss": 0.40007, "time": 0.41571} +{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.22785, "decode.acc_seg": 72.31083, "aux.loss_seg": 0.18483, "aux.acc_seg": 66.15979, "loss": 0.41268, "time": 0.40582} +{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 17837, "data_time": 0.00699, "decode.loss_seg": 0.22584, "decode.acc_seg": 73.02619, "aux.loss_seg": 0.18229, "aux.acc_seg": 66.56016, "loss": 0.40813, "time": 0.40645} +{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.23152, "decode.acc_seg": 73.49054, "aux.loss_seg": 0.18921, "aux.acc_seg": 67.03387, "loss": 0.42073, "time": 0.39104} +{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.24185, "decode.acc_seg": 71.66472, "aux.loss_seg": 0.1858, "aux.acc_seg": 65.76511, "loss": 0.42765, "time": 0.39376} +{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24108, "decode.acc_seg": 73.10496, "aux.loss_seg": 0.1981, "aux.acc_seg": 66.35703, "loss": 0.43917, "time": 0.39205} +{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24619, "decode.acc_seg": 72.68971, "aux.loss_seg": 0.19368, "aux.acc_seg": 66.16564, "loss": 0.43986, "time": 0.41406} +{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 17837, "data_time": 0.0067, "decode.loss_seg": 0.23028, "decode.acc_seg": 73.37981, "aux.loss_seg": 0.18728, "aux.acc_seg": 66.98731, "loss": 0.41756, "time": 0.40431} +{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 17837, "data_time": 0.24458, "decode.loss_seg": 0.24079, "decode.acc_seg": 73.29498, "aux.loss_seg": 0.19155, "aux.acc_seg": 66.99379, "loss": 0.43234, "time": 0.63106} +{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.23591, "decode.acc_seg": 73.85668, "aux.loss_seg": 0.1872, "aux.acc_seg": 67.63925, "loss": 0.42311, "time": 0.39721} +{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23789, "decode.acc_seg": 73.94828, "aux.loss_seg": 0.1917, "aux.acc_seg": 67.67241, "loss": 0.42958, "time": 0.40398} +{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.22039, "decode.acc_seg": 73.88725, "aux.loss_seg": 0.18169, "aux.acc_seg": 67.72057, "loss": 0.40208, "time": 0.39973} +{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.24611, "decode.acc_seg": 72.28936, "aux.loss_seg": 0.19459, "aux.acc_seg": 65.89923, "loss": 0.4407, "time": 0.39794} +{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.24009, "decode.acc_seg": 72.83264, "aux.loss_seg": 0.19369, "aux.acc_seg": 66.17958, "loss": 0.43378, "time": 0.40153} +{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.24053, "decode.acc_seg": 72.93712, "aux.loss_seg": 0.19502, "aux.acc_seg": 66.35239, "loss": 0.43554, "time": 0.39513} +{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23702, "decode.acc_seg": 74.30773, "aux.loss_seg": 0.18687, "aux.acc_seg": 68.19612, "loss": 0.42389, "time": 0.39605} +{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 17837, "data_time": 0.0069, "decode.loss_seg": 0.24259, "decode.acc_seg": 73.01748, "aux.loss_seg": 0.19639, "aux.acc_seg": 66.55393, "loss": 0.43897, "time": 0.41864} +{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.21975, "decode.acc_seg": 72.50325, "aux.loss_seg": 0.18611, "aux.acc_seg": 65.62212, "loss": 0.40587, "time": 0.41137} +{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23741, "decode.acc_seg": 73.96234, "aux.loss_seg": 0.19077, "aux.acc_seg": 67.52692, "loss": 0.42818, "time": 0.39632} +{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 17837, "data_time": 0.00684, "decode.loss_seg": 0.22856, "decode.acc_seg": 72.64827, "aux.loss_seg": 0.18654, "aux.acc_seg": 66.13202, "loss": 0.4151, "time": 0.40812} +{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.23221, "decode.acc_seg": 73.39277, "aux.loss_seg": 0.1881, "aux.acc_seg": 66.95951, "loss": 0.42032, "time": 0.39493} +{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.23818, "decode.acc_seg": 73.37917, "aux.loss_seg": 0.19126, "aux.acc_seg": 66.9386, "loss": 0.42944, "time": 0.39399} +{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24077, "decode.acc_seg": 74.06428, "aux.loss_seg": 0.19614, "aux.acc_seg": 67.50711, "loss": 0.43691, "time": 0.40889} +{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 17837, "data_time": 0.00695, "decode.loss_seg": 0.23126, "decode.acc_seg": 73.1874, "aux.loss_seg": 0.18907, "aux.acc_seg": 66.70504, "loss": 0.42033, "time": 0.39833} +{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.23229, "decode.acc_seg": 73.52289, "aux.loss_seg": 0.18676, "aux.acc_seg": 67.19426, "loss": 0.41905, "time": 0.40282} +{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.23412, "decode.acc_seg": 72.79922, "aux.loss_seg": 0.19216, "aux.acc_seg": 66.07325, "loss": 0.42628, "time": 0.39596} +{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.23221, "decode.acc_seg": 74.17335, "aux.loss_seg": 0.18815, "aux.acc_seg": 67.64534, "loss": 0.42035, "time": 0.39275} +{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.23701, "decode.acc_seg": 73.9694, "aux.loss_seg": 0.18426, "aux.acc_seg": 67.93617, "loss": 0.42128, "time": 0.39504} +{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23802, "decode.acc_seg": 72.21935, "aux.loss_seg": 0.19178, "aux.acc_seg": 65.56253, "loss": 0.4298, "time": 0.39151} +{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22622, "decode.acc_seg": 73.91983, "aux.loss_seg": 0.18283, "aux.acc_seg": 67.74722, "loss": 0.40905, "time": 0.39421} +{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2227, "decode.acc_seg": 74.0067, "aux.loss_seg": 0.18136, "aux.acc_seg": 67.88552, "loss": 0.40406, "time": 0.40099} +{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.22281, "decode.acc_seg": 73.08307, "aux.loss_seg": 0.18295, "aux.acc_seg": 66.90748, "loss": 0.40576, "time": 0.40105} +{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23247, "decode.acc_seg": 72.95804, "aux.loss_seg": 0.19423, "aux.acc_seg": 66.25066, "loss": 0.42671, "time": 0.3957} +{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.24143, "decode.acc_seg": 71.92841, "aux.loss_seg": 0.18712, "aux.acc_seg": 65.86543, "loss": 0.42855, "time": 0.39669} +{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 17837, "data_time": 0.24023, "decode.loss_seg": 0.23425, "decode.acc_seg": 73.95023, "aux.loss_seg": 0.19181, "aux.acc_seg": 67.16276, "loss": 0.42606, "time": 0.63055} +{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.23356, "decode.acc_seg": 73.69276, "aux.loss_seg": 0.19055, "aux.acc_seg": 67.28063, "loss": 0.42411, "time": 0.40389} +{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.21516, "decode.acc_seg": 72.35579, "aux.loss_seg": 0.17162, "aux.acc_seg": 66.55928, "loss": 0.38678, "time": 0.41183} +{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.24219, "decode.acc_seg": 74.18405, "aux.loss_seg": 0.19389, "aux.acc_seg": 67.80965, "loss": 0.43608, "time": 0.42342} +{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.22867, "decode.acc_seg": 72.26641, "aux.loss_seg": 0.18974, "aux.acc_seg": 65.50973, "loss": 0.41841, "time": 0.40026} +{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.23972, "decode.acc_seg": 72.92719, "aux.loss_seg": 0.19762, "aux.acc_seg": 65.97737, "loss": 0.43734, "time": 0.3968} +{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.23602, "decode.acc_seg": 73.47079, "aux.loss_seg": 0.1946, "aux.acc_seg": 66.95383, "loss": 0.43061, "time": 0.39753} +{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23759, "decode.acc_seg": 73.00413, "aux.loss_seg": 0.19489, "aux.acc_seg": 66.29637, "loss": 0.43248, "time": 0.39848} +{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23169, "decode.acc_seg": 71.27206, "aux.loss_seg": 0.18446, "aux.acc_seg": 65.27768, "loss": 0.41615, "time": 0.39428} +{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.233, "decode.acc_seg": 74.22814, "aux.loss_seg": 0.18348, "aux.acc_seg": 68.26444, "loss": 0.41648, "time": 0.39301} +{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.22274, "decode.acc_seg": 72.75462, "aux.loss_seg": 0.17925, "aux.acc_seg": 66.74069, "loss": 0.40199, "time": 0.41011} +{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.23471, "decode.acc_seg": 73.90319, "aux.loss_seg": 0.18686, "aux.acc_seg": 67.67555, "loss": 0.42157, "time": 0.39771} +{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2258, "decode.acc_seg": 74.64278, "aux.loss_seg": 0.18017, "aux.acc_seg": 68.51667, "loss": 0.40596, "time": 0.39314} +{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23728, "decode.acc_seg": 72.8584, "aux.loss_seg": 0.19885, "aux.acc_seg": 65.76345, "loss": 0.43613, "time": 0.39573} +{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.24468, "decode.acc_seg": 73.24059, "aux.loss_seg": 0.20303, "aux.acc_seg": 66.28459, "loss": 0.44771, "time": 0.3947} +{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24221, "decode.acc_seg": 73.13919, "aux.loss_seg": 0.20547, "aux.acc_seg": 65.85123, "loss": 0.44768, "time": 0.4091} +{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24193, "decode.acc_seg": 73.22093, "aux.loss_seg": 0.19383, "aux.acc_seg": 66.65717, "loss": 0.43576, "time": 0.39818} +{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23067, "decode.acc_seg": 73.94049, "aux.loss_seg": 0.18654, "aux.acc_seg": 67.65613, "loss": 0.41721, "time": 0.40687} +{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23662, "decode.acc_seg": 70.80102, "aux.loss_seg": 0.19357, "aux.acc_seg": 64.48524, "loss": 0.43019, "time": 0.41125} +{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.23883, "decode.acc_seg": 72.6272, "aux.loss_seg": 0.18895, "aux.acc_seg": 66.40696, "loss": 0.42778, "time": 0.39416} +{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25159, "decode.acc_seg": 73.93631, "aux.loss_seg": 0.19698, "aux.acc_seg": 67.63266, "loss": 0.44857, "time": 0.41741} +{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.24564, "decode.acc_seg": 73.13984, "aux.loss_seg": 0.19571, "aux.acc_seg": 66.54845, "loss": 0.44136, "time": 0.39831} +{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23344, "decode.acc_seg": 73.45436, "aux.loss_seg": 0.18428, "aux.acc_seg": 67.39818, "loss": 0.41772, "time": 0.39544} +{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.2367, "decode.acc_seg": 72.34181, "aux.loss_seg": 0.19334, "aux.acc_seg": 65.73285, "loss": 0.43005, "time": 0.39526} +{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23767, "decode.acc_seg": 73.27862, "aux.loss_seg": 0.19007, "aux.acc_seg": 66.95288, "loss": 0.42774, "time": 0.39389} +{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 17837, "data_time": 0.23915, "decode.loss_seg": 0.21823, "decode.acc_seg": 73.77921, "aux.loss_seg": 0.17828, "aux.acc_seg": 67.54047, "loss": 0.39652, "time": 0.62409} +{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.21989, "decode.acc_seg": 72.54894, "aux.loss_seg": 0.18091, "aux.acc_seg": 66.25481, "loss": 0.40081, "time": 0.40203} +{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.22915, "decode.acc_seg": 72.26684, "aux.loss_seg": 0.18965, "aux.acc_seg": 65.66837, "loss": 0.4188, "time": 0.39433} +{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23009, "decode.acc_seg": 71.32586, "aux.loss_seg": 0.18578, "aux.acc_seg": 64.98496, "loss": 0.41586, "time": 0.39187} +{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.23522, "decode.acc_seg": 72.4822, "aux.loss_seg": 0.18671, "aux.acc_seg": 66.14168, "loss": 0.42192, "time": 0.40935} +{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.25276, "decode.acc_seg": 73.86297, "aux.loss_seg": 0.20164, "aux.acc_seg": 67.48581, "loss": 0.4544, "time": 0.40241} +{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2339, "decode.acc_seg": 72.97374, "aux.loss_seg": 0.18197, "aux.acc_seg": 67.17753, "loss": 0.41586, "time": 0.39988} +{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24123, "decode.acc_seg": 73.63488, "aux.loss_seg": 0.19539, "aux.acc_seg": 67.17237, "loss": 0.43662, "time": 0.39616} +{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2395, "decode.acc_seg": 72.98039, "aux.loss_seg": 0.19008, "aux.acc_seg": 66.57164, "loss": 0.42958, "time": 0.39949} +{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23473, "decode.acc_seg": 73.0143, "aux.loss_seg": 0.18811, "aux.acc_seg": 66.79135, "loss": 0.42285, "time": 0.40087} +{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2343, "decode.acc_seg": 72.30717, "aux.loss_seg": 0.18773, "aux.acc_seg": 66.0056, "loss": 0.42204, "time": 0.3977} +{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.23713, "decode.acc_seg": 73.05438, "aux.loss_seg": 0.18899, "aux.acc_seg": 67.0074, "loss": 0.42613, "time": 0.41565} +{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.22753, "decode.acc_seg": 73.40233, "aux.loss_seg": 0.1845, "aux.acc_seg": 67.11075, "loss": 0.41203, "time": 0.40667} +{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.22765, "decode.acc_seg": 75.46865, "aux.loss_seg": 0.18685, "aux.acc_seg": 68.95299, "loss": 0.4145, "time": 0.40995} +{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.23137, "decode.acc_seg": 72.08833, "aux.loss_seg": 0.189, "aux.acc_seg": 65.61352, "loss": 0.42037, "time": 0.41187} +{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.23936, "decode.acc_seg": 72.62194, "aux.loss_seg": 0.19227, "aux.acc_seg": 66.24013, "loss": 0.43163, "time": 0.40982} +{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.21539, "decode.acc_seg": 73.04848, "aux.loss_seg": 0.17788, "aux.acc_seg": 66.8753, "loss": 0.39327, "time": 0.39556} +{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.24141, "decode.acc_seg": 74.34122, "aux.loss_seg": 0.19917, "aux.acc_seg": 67.37488, "loss": 0.44057, "time": 0.40231} +{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.23211, "decode.acc_seg": 72.84029, "aux.loss_seg": 0.19176, "aux.acc_seg": 66.02968, "loss": 0.42387, "time": 0.40734} +{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.2321, "decode.acc_seg": 74.11684, "aux.loss_seg": 0.19285, "aux.acc_seg": 67.54718, "loss": 0.42495, "time": 0.39646} +{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24818, "decode.acc_seg": 72.82966, "aux.loss_seg": 0.20127, "aux.acc_seg": 66.06984, "loss": 0.44946, "time": 0.41226} +{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.22803, "decode.acc_seg": 72.10034, "aux.loss_seg": 0.1896, "aux.acc_seg": 65.15482, "loss": 0.41763, "time": 0.41669} +{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.23562, "decode.acc_seg": 73.69576, "aux.loss_seg": 0.19058, "aux.acc_seg": 67.15646, "loss": 0.42619, "time": 0.41075} +{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.23717, "decode.acc_seg": 73.82916, "aux.loss_seg": 0.19164, "aux.acc_seg": 67.34459, "loss": 0.42881, "time": 0.39585} +{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23465, "decode.acc_seg": 73.22625, "aux.loss_seg": 0.19123, "aux.acc_seg": 66.54839, "loss": 0.42588, "time": 0.4059} +{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 17837, "data_time": 0.23855, "decode.loss_seg": 0.23537, "decode.acc_seg": 72.23559, "aux.loss_seg": 0.19291, "aux.acc_seg": 65.76057, "loss": 0.42828, "time": 0.63021} +{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23284, "decode.acc_seg": 74.82719, "aux.loss_seg": 0.18931, "aux.acc_seg": 68.53506, "loss": 0.42215, "time": 0.39685} +{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.22256, "decode.acc_seg": 73.66554, "aux.loss_seg": 0.18526, "aux.acc_seg": 67.00808, "loss": 0.40782, "time": 0.40742} +{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.23111, "decode.acc_seg": 73.59552, "aux.loss_seg": 0.18447, "aux.acc_seg": 67.45746, "loss": 0.41558, "time": 0.40775} +{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2254, "decode.acc_seg": 73.11005, "aux.loss_seg": 0.18879, "aux.acc_seg": 66.40675, "loss": 0.41418, "time": 0.40706} +{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23247, "decode.acc_seg": 72.9921, "aux.loss_seg": 0.19107, "aux.acc_seg": 66.50379, "loss": 0.42354, "time": 0.40201} +{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.22976, "decode.acc_seg": 73.18281, "aux.loss_seg": 0.18728, "aux.acc_seg": 66.80122, "loss": 0.41703, "time": 0.39185} +{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.22193, "decode.acc_seg": 74.88322, "aux.loss_seg": 0.18683, "aux.acc_seg": 68.11479, "loss": 0.40876, "time": 0.40643} +{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23556, "decode.acc_seg": 71.51565, "aux.loss_seg": 0.18514, "aux.acc_seg": 65.09975, "loss": 0.4207, "time": 0.39312} +{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.22518, "decode.acc_seg": 72.54035, "aux.loss_seg": 0.17616, "aux.acc_seg": 66.51914, "loss": 0.40134, "time": 0.39571} +{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.24232, "decode.acc_seg": 72.78304, "aux.loss_seg": 0.18997, "aux.acc_seg": 66.56912, "loss": 0.43229, "time": 0.40397} +{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.22795, "decode.acc_seg": 72.59182, "aux.loss_seg": 0.18627, "aux.acc_seg": 66.13909, "loss": 0.41422, "time": 0.40668} +{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.2435, "decode.acc_seg": 71.63886, "aux.loss_seg": 0.19573, "aux.acc_seg": 65.02538, "loss": 0.43924, "time": 0.40395} +{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24904, "decode.acc_seg": 73.55613, "aux.loss_seg": 0.20243, "aux.acc_seg": 66.84463, "loss": 0.45148, "time": 0.39754} +{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23025, "decode.acc_seg": 72.4885, "aux.loss_seg": 0.1907, "aux.acc_seg": 65.87034, "loss": 0.42095, "time": 0.4059} +{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.23431, "decode.acc_seg": 74.6216, "aux.loss_seg": 0.19177, "aux.acc_seg": 68.19645, "loss": 0.42608, "time": 0.39869} +{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.2435, "decode.acc_seg": 73.10715, "aux.loss_seg": 0.18958, "aux.acc_seg": 66.84346, "loss": 0.43308, "time": 0.39365} +{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2282, "decode.acc_seg": 73.72189, "aux.loss_seg": 0.18999, "aux.acc_seg": 67.15599, "loss": 0.41819, "time": 0.39182} +{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22653, "decode.acc_seg": 73.26313, "aux.loss_seg": 0.1896, "aux.acc_seg": 66.68732, "loss": 0.41613, "time": 0.39697} +{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.2296, "decode.acc_seg": 74.23595, "aux.loss_seg": 0.18433, "aux.acc_seg": 67.92839, "loss": 0.41394, "time": 0.39654} +{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23327, "decode.acc_seg": 72.83463, "aux.loss_seg": 0.19157, "aux.acc_seg": 66.31579, "loss": 0.42484, "time": 0.40696} +{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23004, "decode.acc_seg": 71.38653, "aux.loss_seg": 0.18858, "aux.acc_seg": 64.72004, "loss": 0.41862, "time": 0.39664} +{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.22905, "decode.acc_seg": 73.84825, "aux.loss_seg": 0.18245, "aux.acc_seg": 68.07537, "loss": 0.4115, "time": 0.40945} +{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23711, "decode.acc_seg": 73.33428, "aux.loss_seg": 0.19053, "aux.acc_seg": 67.0515, "loss": 0.42764, "time": 0.39717} +{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.23726, "decode.acc_seg": 72.47028, "aux.loss_seg": 0.19654, "aux.acc_seg": 65.85995, "loss": 0.43379, "time": 0.40819} +{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 17837, "data_time": 0.23933, "decode.loss_seg": 0.23805, "decode.acc_seg": 72.3051, "aux.loss_seg": 0.18755, "aux.acc_seg": 66.02044, "loss": 0.42559, "time": 0.63041} +{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24192, "decode.acc_seg": 74.76413, "aux.loss_seg": 0.18556, "aux.acc_seg": 68.91116, "loss": 0.42748, "time": 0.40134} +{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.22733, "decode.acc_seg": 74.35961, "aux.loss_seg": 0.18929, "aux.acc_seg": 67.60868, "loss": 0.41663, "time": 0.40453} +{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.22759, "decode.acc_seg": 72.68136, "aux.loss_seg": 0.18371, "aux.acc_seg": 66.33681, "loss": 0.4113, "time": 0.40739} +{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.2222, "decode.acc_seg": 73.21566, "aux.loss_seg": 0.18687, "aux.acc_seg": 66.74312, "loss": 0.40906, "time": 0.40847} +{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23358, "decode.acc_seg": 72.764, "aux.loss_seg": 0.18804, "aux.acc_seg": 66.15831, "loss": 0.42162, "time": 0.39534} +{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23367, "decode.acc_seg": 72.93868, "aux.loss_seg": 0.18476, "aux.acc_seg": 66.64797, "loss": 0.41843, "time": 0.40899} +{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23616, "decode.acc_seg": 72.68255, "aux.loss_seg": 0.19013, "aux.acc_seg": 66.41251, "loss": 0.42629, "time": 0.40412} +{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24376, "decode.acc_seg": 72.27251, "aux.loss_seg": 0.20088, "aux.acc_seg": 65.40615, "loss": 0.44464, "time": 0.39413} +{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.23386, "decode.acc_seg": 73.57323, "aux.loss_seg": 0.19318, "aux.acc_seg": 66.76301, "loss": 0.42704, "time": 0.41478} +{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.21606, "decode.acc_seg": 72.98385, "aux.loss_seg": 0.17955, "aux.acc_seg": 66.63647, "loss": 0.39561, "time": 0.41129} +{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.22483, "decode.acc_seg": 73.59814, "aux.loss_seg": 0.1813, "aux.acc_seg": 67.54195, "loss": 0.40613, "time": 0.40132} +{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23448, "decode.acc_seg": 73.75787, "aux.loss_seg": 0.18664, "aux.acc_seg": 67.49616, "loss": 0.42112, "time": 0.41247} +{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.24829, "decode.acc_seg": 72.34334, "aux.loss_seg": 0.20347, "aux.acc_seg": 65.26297, "loss": 0.45177, "time": 0.39421} +{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.24298, "decode.acc_seg": 72.72913, "aux.loss_seg": 0.19849, "aux.acc_seg": 66.1303, "loss": 0.44147, "time": 0.39586} +{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24286, "decode.acc_seg": 72.80354, "aux.loss_seg": 0.19918, "aux.acc_seg": 65.81207, "loss": 0.44204, "time": 0.402} +{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2404, "decode.acc_seg": 74.351, "aux.loss_seg": 0.19551, "aux.acc_seg": 67.62129, "loss": 0.4359, "time": 0.40906} +{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.23648, "decode.acc_seg": 72.87579, "aux.loss_seg": 0.18742, "aux.acc_seg": 66.40664, "loss": 0.42391, "time": 0.39324} +{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.2213, "decode.acc_seg": 72.80046, "aux.loss_seg": 0.18848, "aux.acc_seg": 65.91217, "loss": 0.40978, "time": 0.39866} +{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.23063, "decode.acc_seg": 72.75004, "aux.loss_seg": 0.19209, "aux.acc_seg": 65.86825, "loss": 0.42271, "time": 0.39551} +{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.23688, "decode.acc_seg": 72.17367, "aux.loss_seg": 0.18952, "aux.acc_seg": 65.87965, "loss": 0.4264, "time": 0.40719} +{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23251, "decode.acc_seg": 71.32794, "aux.loss_seg": 0.18578, "aux.acc_seg": 64.74339, "loss": 0.41829, "time": 0.39817} +{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.23743, "decode.acc_seg": 74.54777, "aux.loss_seg": 0.19959, "aux.acc_seg": 67.54891, "loss": 0.43702, "time": 0.39475} +{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.22922, "decode.acc_seg": 73.84189, "aux.loss_seg": 0.18246, "aux.acc_seg": 67.83909, "loss": 0.41167, "time": 0.39142} +{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.2229, "decode.acc_seg": 74.95608, "aux.loss_seg": 0.18727, "aux.acc_seg": 68.31363, "loss": 0.41017, "time": 0.39369} +{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22276, "decode.acc_seg": 72.66429, "aux.loss_seg": 0.17932, "aux.acc_seg": 66.47451, "loss": 0.40208, "time": 0.39582} +{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 17837, "data_time": 0.23877, "decode.loss_seg": 0.22595, "decode.acc_seg": 73.748, "aux.loss_seg": 0.18497, "aux.acc_seg": 67.32516, "loss": 0.41091, "time": 0.62549} +{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.2355, "decode.acc_seg": 72.50246, "aux.loss_seg": 0.19016, "aux.acc_seg": 66.16763, "loss": 0.42566, "time": 0.41343} +{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24286, "decode.acc_seg": 74.61175, "aux.loss_seg": 0.20034, "aux.acc_seg": 67.6786, "loss": 0.44321, "time": 0.4037} +{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.23584, "decode.acc_seg": 73.46307, "aux.loss_seg": 0.19214, "aux.acc_seg": 67.10072, "loss": 0.42798, "time": 0.4092} +{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.22229, "decode.acc_seg": 73.62512, "aux.loss_seg": 0.17186, "aux.acc_seg": 68.18506, "loss": 0.39416, "time": 0.39599} +{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.21848, "decode.acc_seg": 74.32298, "aux.loss_seg": 0.18496, "aux.acc_seg": 67.83085, "loss": 0.40344, "time": 0.39665} +{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22204, "decode.acc_seg": 72.82567, "aux.loss_seg": 0.17578, "aux.acc_seg": 66.94748, "loss": 0.39782, "time": 0.39613} +{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.23204, "decode.acc_seg": 72.45265, "aux.loss_seg": 0.19247, "aux.acc_seg": 65.78077, "loss": 0.42451, "time": 0.40922} +{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.24061, "decode.acc_seg": 72.15441, "aux.loss_seg": 0.1937, "aux.acc_seg": 65.75333, "loss": 0.43431, "time": 0.39374} +{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.24147, "decode.acc_seg": 71.91619, "aux.loss_seg": 0.19083, "aux.acc_seg": 65.52071, "loss": 0.43231, "time": 0.39504} +{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.23731, "decode.acc_seg": 73.24097, "aux.loss_seg": 0.18759, "aux.acc_seg": 66.94269, "loss": 0.4249, "time": 0.41737} +{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.22706, "decode.acc_seg": 72.6938, "aux.loss_seg": 0.18954, "aux.acc_seg": 66.05656, "loss": 0.4166, "time": 0.41795} +{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.22425, "decode.acc_seg": 72.53559, "aux.loss_seg": 0.18193, "aux.acc_seg": 66.35156, "loss": 0.40618, "time": 0.41254} +{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23343, "decode.acc_seg": 73.58003, "aux.loss_seg": 0.19404, "aux.acc_seg": 66.52491, "loss": 0.42746, "time": 0.40434} +{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23266, "decode.acc_seg": 72.33089, "aux.loss_seg": 0.19513, "aux.acc_seg": 65.52167, "loss": 0.4278, "time": 0.39992} +{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.22946, "decode.acc_seg": 72.19991, "aux.loss_seg": 0.1887, "aux.acc_seg": 65.7121, "loss": 0.41817, "time": 0.39848} +{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.23539, "decode.acc_seg": 73.45419, "aux.loss_seg": 0.19635, "aux.acc_seg": 66.21393, "loss": 0.43174, "time": 0.40324} +{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.22097, "decode.acc_seg": 71.96231, "aux.loss_seg": 0.18195, "aux.acc_seg": 65.53949, "loss": 0.40292, "time": 0.40569} +{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.24207, "decode.acc_seg": 72.65831, "aux.loss_seg": 0.19472, "aux.acc_seg": 65.99079, "loss": 0.43679, "time": 0.40127} +{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.24186, "decode.acc_seg": 73.05941, "aux.loss_seg": 0.19517, "aux.acc_seg": 66.63786, "loss": 0.43703, "time": 0.40844} +{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.23669, "decode.acc_seg": 73.49749, "aux.loss_seg": 0.18871, "aux.acc_seg": 67.15438, "loss": 0.4254, "time": 0.40006} +{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.24743, "decode.acc_seg": 72.16384, "aux.loss_seg": 0.19615, "aux.acc_seg": 65.71548, "loss": 0.44358, "time": 0.39345} +{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.22654, "decode.acc_seg": 74.69219, "aux.loss_seg": 0.17958, "aux.acc_seg": 68.84215, "loss": 0.40612, "time": 0.41254} +{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23544, "decode.acc_seg": 74.94747, "aux.loss_seg": 0.20002, "aux.acc_seg": 67.65511, "loss": 0.43546, "time": 0.4166} +{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.21778, "decode.acc_seg": 75.49949, "aux.loss_seg": 0.17951, "aux.acc_seg": 69.28276, "loss": 0.39729, "time": 0.39486} +{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 17837, "data_time": 0.24088, "decode.loss_seg": 0.22631, "decode.acc_seg": 71.6933, "aux.loss_seg": 0.18697, "aux.acc_seg": 65.26615, "loss": 0.41328, "time": 0.63016} +{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.24323, "decode.acc_seg": 73.37702, "aux.loss_seg": 0.19544, "aux.acc_seg": 66.87066, "loss": 0.43868, "time": 0.39453} +{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.22552, "decode.acc_seg": 73.71521, "aux.loss_seg": 0.18333, "aux.acc_seg": 67.27187, "loss": 0.40885, "time": 0.39161} +{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.23177, "decode.acc_seg": 72.95095, "aux.loss_seg": 0.18526, "aux.acc_seg": 66.62541, "loss": 0.41703, "time": 0.40204} +{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.22212, "decode.acc_seg": 72.17226, "aux.loss_seg": 0.18674, "aux.acc_seg": 65.67072, "loss": 0.40886, "time": 0.39883} +{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.22413, "decode.acc_seg": 73.92932, "aux.loss_seg": 0.18237, "aux.acc_seg": 67.62552, "loss": 0.4065, "time": 0.39847} +{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.23947, "decode.acc_seg": 73.72637, "aux.loss_seg": 0.19572, "aux.acc_seg": 67.0123, "loss": 0.43518, "time": 0.4062} +{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.23727, "decode.acc_seg": 72.92238, "aux.loss_seg": 0.1921, "aux.acc_seg": 66.37235, "loss": 0.42937, "time": 0.39704} +{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.24682, "decode.acc_seg": 74.21982, "aux.loss_seg": 0.19895, "aux.acc_seg": 67.31189, "loss": 0.44577, "time": 0.40321} +{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.21821, "decode.acc_seg": 73.14277, "aux.loss_seg": 0.17919, "aux.acc_seg": 66.80489, "loss": 0.39739, "time": 0.39605} +{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23013, "decode.acc_seg": 73.97864, "aux.loss_seg": 0.18367, "aux.acc_seg": 67.75141, "loss": 0.4138, "time": 0.39552} +{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.21834, "decode.acc_seg": 73.49332, "aux.loss_seg": 0.1789, "aux.acc_seg": 67.20873, "loss": 0.39724, "time": 0.41491} +{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.22573, "decode.acc_seg": 73.6919, "aux.loss_seg": 0.18955, "aux.acc_seg": 66.91055, "loss": 0.41528, "time": 0.40956} +{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.22893, "decode.acc_seg": 72.76807, "aux.loss_seg": 0.18426, "aux.acc_seg": 66.52641, "loss": 0.41319, "time": 0.4009} +{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25355, "decode.acc_seg": 73.3419, "aux.loss_seg": 0.20286, "aux.acc_seg": 66.44133, "loss": 0.45641, "time": 0.39734} +{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.2287, "decode.acc_seg": 73.09546, "aux.loss_seg": 0.19045, "aux.acc_seg": 66.39998, "loss": 0.41915, "time": 0.39613} +{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23897, "decode.acc_seg": 74.25295, "aux.loss_seg": 0.19023, "aux.acc_seg": 67.86131, "loss": 0.4292, "time": 0.40808} +{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.23488, "decode.acc_seg": 72.73021, "aux.loss_seg": 0.19197, "aux.acc_seg": 66.04404, "loss": 0.42685, "time": 0.39783} +{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.2426, "decode.acc_seg": 73.6731, "aux.loss_seg": 0.19468, "aux.acc_seg": 66.90828, "loss": 0.43728, "time": 0.39223} +{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23606, "decode.acc_seg": 72.96505, "aux.loss_seg": 0.19099, "aux.acc_seg": 66.22333, "loss": 0.42705, "time": 0.3968} +{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.22511, "decode.acc_seg": 73.39299, "aux.loss_seg": 0.18389, "aux.acc_seg": 66.91377, "loss": 0.409, "time": 0.39669} +{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.22772, "decode.acc_seg": 72.83991, "aux.loss_seg": 0.18665, "aux.acc_seg": 66.46461, "loss": 0.41437, "time": 0.39611} +{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2386, "decode.acc_seg": 72.42806, "aux.loss_seg": 0.19808, "aux.acc_seg": 65.46283, "loss": 0.43668, "time": 0.39921} +{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23773, "decode.acc_seg": 72.49455, "aux.loss_seg": 0.18966, "aux.acc_seg": 66.11353, "loss": 0.42739, "time": 0.39587} +{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.24333, "decode.acc_seg": 71.45601, "aux.loss_seg": 0.19613, "aux.acc_seg": 65.26516, "loss": 0.43947, "time": 0.40143} +{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 17837, "data_time": 0.24521, "decode.loss_seg": 0.22367, "decode.acc_seg": 73.58048, "aux.loss_seg": 0.19038, "aux.acc_seg": 66.75563, "loss": 0.41405, "time": 0.63913} +{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.22056, "decode.acc_seg": 72.92446, "aux.loss_seg": 0.17923, "aux.acc_seg": 66.94161, "loss": 0.39979, "time": 0.41435} +{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.23262, "decode.acc_seg": 72.54947, "aux.loss_seg": 0.18679, "aux.acc_seg": 66.28011, "loss": 0.4194, "time": 0.39465} +{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.22316, "decode.acc_seg": 72.97958, "aux.loss_seg": 0.18058, "aux.acc_seg": 66.83783, "loss": 0.40375, "time": 0.41128} +{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23834, "decode.acc_seg": 72.69757, "aux.loss_seg": 0.19187, "aux.acc_seg": 66.26971, "loss": 0.43021, "time": 0.4038} +{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.22255, "decode.acc_seg": 73.74506, "aux.loss_seg": 0.18216, "aux.acc_seg": 67.32002, "loss": 0.40471, "time": 0.40876} +{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.22108, "decode.acc_seg": 74.75484, "aux.loss_seg": 0.18577, "aux.acc_seg": 68.08935, "loss": 0.40685, "time": 0.40191} +{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.22393, "decode.acc_seg": 72.08086, "aux.loss_seg": 0.18184, "aux.acc_seg": 65.8459, "loss": 0.40576, "time": 0.40257} +{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23181, "decode.acc_seg": 72.60324, "aux.loss_seg": 0.18302, "aux.acc_seg": 66.65486, "loss": 0.41482, "time": 0.41206} +{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.22706, "decode.acc_seg": 72.89202, "aux.loss_seg": 0.18447, "aux.acc_seg": 66.7895, "loss": 0.41153, "time": 0.41438} +{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.23258, "decode.acc_seg": 73.24123, "aux.loss_seg": 0.19026, "aux.acc_seg": 66.74025, "loss": 0.42284, "time": 0.40282} +{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 17837, "data_time": 0.00699, "decode.loss_seg": 0.22461, "decode.acc_seg": 72.52482, "aux.loss_seg": 0.18672, "aux.acc_seg": 66.07309, "loss": 0.41133, "time": 0.40154} +{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.24446, "decode.acc_seg": 72.77685, "aux.loss_seg": 0.19474, "aux.acc_seg": 66.2446, "loss": 0.4392, "time": 0.40102} +{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23213, "decode.acc_seg": 73.23817, "aux.loss_seg": 0.19279, "aux.acc_seg": 66.52778, "loss": 0.42491, "time": 0.39745} +{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.22357, "decode.acc_seg": 73.07651, "aux.loss_seg": 0.18281, "aux.acc_seg": 66.96173, "loss": 0.40638, "time": 0.39203} +{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22475, "decode.acc_seg": 73.47675, "aux.loss_seg": 0.18624, "aux.acc_seg": 67.31531, "loss": 0.411, "time": 0.39456} +{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.22372, "decode.acc_seg": 73.14168, "aux.loss_seg": 0.18384, "aux.acc_seg": 66.87684, "loss": 0.40755, "time": 0.40313} +{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.22506, "decode.acc_seg": 72.27012, "aux.loss_seg": 0.18384, "aux.acc_seg": 65.83441, "loss": 0.40889, "time": 0.39736} +{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.22938, "decode.acc_seg": 73.63408, "aux.loss_seg": 0.18986, "aux.acc_seg": 66.82288, "loss": 0.41923, "time": 0.40052} +{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.2413, "decode.acc_seg": 73.6662, "aux.loss_seg": 0.19574, "aux.acc_seg": 66.92694, "loss": 0.43704, "time": 0.3993} +{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 17837, "data_time": 0.00723, "decode.loss_seg": 0.2274, "decode.acc_seg": 73.75511, "aux.loss_seg": 0.18114, "aux.acc_seg": 67.70094, "loss": 0.40855, "time": 0.40747} +{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.23258, "decode.acc_seg": 74.79691, "aux.loss_seg": 0.19555, "aux.acc_seg": 67.78189, "loss": 0.42813, "time": 0.41373} +{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.23847, "decode.acc_seg": 72.7318, "aux.loss_seg": 0.19325, "aux.acc_seg": 66.15516, "loss": 0.43172, "time": 0.39795} +{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.23777, "decode.acc_seg": 73.77282, "aux.loss_seg": 0.19585, "aux.acc_seg": 67.16539, "loss": 0.43362, "time": 0.40665} +{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23532, "decode.acc_seg": 73.33306, "aux.loss_seg": 0.19334, "aux.acc_seg": 66.83919, "loss": 0.42866, "time": 0.39871} +{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 17837, "data_time": 0.24611, "decode.loss_seg": 0.23939, "decode.acc_seg": 74.06752, "aux.loss_seg": 0.19376, "aux.acc_seg": 67.55808, "loss": 0.43315, "time": 0.63387} +{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.23583, "decode.acc_seg": 73.62893, "aux.loss_seg": 0.19381, "aux.acc_seg": 67.34265, "loss": 0.42965, "time": 0.40559} +{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.22279, "decode.acc_seg": 71.54423, "aux.loss_seg": 0.18116, "aux.acc_seg": 65.36907, "loss": 0.40394, "time": 0.40191} +{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23427, "decode.acc_seg": 72.71126, "aux.loss_seg": 0.18421, "aux.acc_seg": 66.71671, "loss": 0.41848, "time": 0.40565} +{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.23107, "decode.acc_seg": 72.18566, "aux.loss_seg": 0.19256, "aux.acc_seg": 65.66652, "loss": 0.42363, "time": 0.39652} +{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23234, "decode.acc_seg": 73.13395, "aux.loss_seg": 0.18794, "aux.acc_seg": 66.70393, "loss": 0.42028, "time": 0.39807} +{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.22809, "decode.acc_seg": 74.01572, "aux.loss_seg": 0.18672, "aux.acc_seg": 67.59112, "loss": 0.41482, "time": 0.39983} +{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2237, "decode.acc_seg": 73.86076, "aux.loss_seg": 0.1843, "aux.acc_seg": 67.69025, "loss": 0.408, "time": 0.42087} +{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23016, "decode.acc_seg": 73.20657, "aux.loss_seg": 0.18292, "aux.acc_seg": 67.229, "loss": 0.41308, "time": 0.40954} +{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.23175, "decode.acc_seg": 73.03516, "aux.loss_seg": 0.18578, "aux.acc_seg": 66.83266, "loss": 0.41753, "time": 0.4021} +{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.22206, "decode.acc_seg": 73.47591, "aux.loss_seg": 0.18483, "aux.acc_seg": 67.12556, "loss": 0.40689, "time": 0.39822} +{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.227, "decode.acc_seg": 74.0068, "aux.loss_seg": 0.18907, "aux.acc_seg": 67.48293, "loss": 0.41607, "time": 0.3995} +{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.22815, "decode.acc_seg": 73.16448, "aux.loss_seg": 0.1854, "aux.acc_seg": 66.92752, "loss": 0.41355, "time": 0.39933} +{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.22926, "decode.acc_seg": 74.21137, "aux.loss_seg": 0.18476, "aux.acc_seg": 68.07376, "loss": 0.41402, "time": 0.39804} +{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.2254, "decode.acc_seg": 74.1084, "aux.loss_seg": 0.18849, "aux.acc_seg": 67.30161, "loss": 0.41389, "time": 0.40043} +{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.22583, "decode.acc_seg": 74.61491, "aux.loss_seg": 0.18082, "aux.acc_seg": 68.45719, "loss": 0.40665, "time": 0.4147} +{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.23333, "decode.acc_seg": 73.82193, "aux.loss_seg": 0.18487, "aux.acc_seg": 67.83012, "loss": 0.4182, "time": 0.39989} +{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.23261, "decode.acc_seg": 73.55927, "aux.loss_seg": 0.18261, "aux.acc_seg": 67.52902, "loss": 0.41522, "time": 0.40279} +{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23147, "decode.acc_seg": 72.71155, "aux.loss_seg": 0.18234, "aux.acc_seg": 66.68067, "loss": 0.41381, "time": 0.39866} +{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.21926, "decode.acc_seg": 72.29145, "aux.loss_seg": 0.18566, "aux.acc_seg": 65.55273, "loss": 0.40492, "time": 0.42122} +{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.22808, "decode.acc_seg": 72.32414, "aux.loss_seg": 0.18321, "aux.acc_seg": 66.57621, "loss": 0.41129, "time": 0.40422} +{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.23661, "decode.acc_seg": 74.03465, "aux.loss_seg": 0.19846, "aux.acc_seg": 67.17703, "loss": 0.43507, "time": 0.39657} +{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22941, "decode.acc_seg": 72.82785, "aux.loss_seg": 0.18144, "aux.acc_seg": 66.83119, "loss": 0.41086, "time": 0.40692} +{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23315, "decode.acc_seg": 72.72637, "aux.loss_seg": 0.19542, "aux.acc_seg": 65.97888, "loss": 0.42857, "time": 0.4076} +{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23515, "decode.acc_seg": 73.90842, "aux.loss_seg": 0.19056, "aux.acc_seg": 67.29489, "loss": 0.42571, "time": 0.39592} +{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23171, "decode.acc_seg": 73.79444, "aux.loss_seg": 0.18607, "aux.acc_seg": 67.69624, "loss": 0.41779, "time": 0.40895} +{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 17837, "data_time": 0.24837, "decode.loss_seg": 0.21987, "decode.acc_seg": 73.23624, "aux.loss_seg": 0.18653, "aux.acc_seg": 66.66636, "loss": 0.4064, "time": 0.64685} +{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.23481, "decode.acc_seg": 73.09278, "aux.loss_seg": 0.19205, "aux.acc_seg": 66.55455, "loss": 0.42686, "time": 0.41759} +{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.23293, "decode.acc_seg": 72.69809, "aux.loss_seg": 0.19389, "aux.acc_seg": 65.82854, "loss": 0.42682, "time": 0.40242} +{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22379, "decode.acc_seg": 74.0024, "aux.loss_seg": 0.18197, "aux.acc_seg": 67.76024, "loss": 0.40576, "time": 0.39757} +{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.2273, "decode.acc_seg": 74.18861, "aux.loss_seg": 0.19086, "aux.acc_seg": 67.46125, "loss": 0.41816, "time": 0.39956} +{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.25207, "decode.acc_seg": 71.92255, "aux.loss_seg": 0.20742, "aux.acc_seg": 65.26046, "loss": 0.45949, "time": 0.40384} +{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.22657, "decode.acc_seg": 73.88434, "aux.loss_seg": 0.18007, "aux.acc_seg": 68.01321, "loss": 0.40665, "time": 0.40182} +{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.22539, "decode.acc_seg": 72.76017, "aux.loss_seg": 0.18545, "aux.acc_seg": 66.23551, "loss": 0.41083, "time": 0.40035} +{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23296, "decode.acc_seg": 73.25219, "aux.loss_seg": 0.18539, "aux.acc_seg": 67.19671, "loss": 0.41835, "time": 0.4048} +{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.21225, "decode.acc_seg": 73.6298, "aux.loss_seg": 0.17677, "aux.acc_seg": 67.36786, "loss": 0.38902, "time": 0.41032} +{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.23538, "decode.acc_seg": 72.64441, "aux.loss_seg": 0.1826, "aux.acc_seg": 66.65682, "loss": 0.41798, "time": 0.39963} +{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.22676, "decode.acc_seg": 72.59711, "aux.loss_seg": 0.18545, "aux.acc_seg": 66.36535, "loss": 0.41221, "time": 0.40654} +{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.22214, "decode.acc_seg": 73.36211, "aux.loss_seg": 0.18001, "aux.acc_seg": 67.35117, "loss": 0.40215, "time": 0.40339} +{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.22972, "decode.acc_seg": 74.78072, "aux.loss_seg": 0.18976, "aux.acc_seg": 68.30929, "loss": 0.41948, "time": 0.39467} +{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23622, "decode.acc_seg": 74.71073, "aux.loss_seg": 0.18635, "aux.acc_seg": 68.40433, "loss": 0.42257, "time": 0.39543} +{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.22379, "decode.acc_seg": 74.06912, "aux.loss_seg": 0.18286, "aux.acc_seg": 67.60349, "loss": 0.40665, "time": 0.39451} +{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.22365, "decode.acc_seg": 71.20493, "aux.loss_seg": 0.18587, "aux.acc_seg": 64.57784, "loss": 0.40951, "time": 0.39512} +{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.23181, "decode.acc_seg": 74.12322, "aux.loss_seg": 0.19986, "aux.acc_seg": 66.89393, "loss": 0.43167, "time": 0.39698} +{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.22698, "decode.acc_seg": 72.93005, "aux.loss_seg": 0.18076, "aux.acc_seg": 67.06365, "loss": 0.40775, "time": 0.39744} +{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23325, "decode.acc_seg": 72.33566, "aux.loss_seg": 0.18742, "aux.acc_seg": 66.16927, "loss": 0.42067, "time": 0.40509} +{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.23455, "decode.acc_seg": 73.84123, "aux.loss_seg": 0.18956, "aux.acc_seg": 67.33177, "loss": 0.42412, "time": 0.39793} +{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.22627, "decode.acc_seg": 73.10656, "aux.loss_seg": 0.18999, "aux.acc_seg": 66.20553, "loss": 0.41626, "time": 0.39591} +{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23352, "decode.acc_seg": 72.32204, "aux.loss_seg": 0.19399, "aux.acc_seg": 65.54521, "loss": 0.4275, "time": 0.39648} +{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.21951, "decode.acc_seg": 73.55672, "aux.loss_seg": 0.1841, "aux.acc_seg": 66.98746, "loss": 0.40361, "time": 0.4006} +{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23503, "decode.acc_seg": 73.65596, "aux.loss_seg": 0.19591, "aux.acc_seg": 66.88036, "loss": 0.43094, "time": 0.40175} +{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 17837, "data_time": 0.2473, "decode.loss_seg": 0.23348, "decode.acc_seg": 72.92238, "aux.loss_seg": 0.19391, "aux.acc_seg": 66.10971, "loss": 0.42739, "time": 0.63561} +{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.225, "decode.acc_seg": 74.67052, "aux.loss_seg": 0.17713, "aux.acc_seg": 68.83197, "loss": 0.40213, "time": 0.39968} +{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.2201, "decode.acc_seg": 71.72966, "aux.loss_seg": 0.17995, "aux.acc_seg": 65.4568, "loss": 0.40006, "time": 0.39679} +{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.2273, "decode.acc_seg": 73.56983, "aux.loss_seg": 0.18803, "aux.acc_seg": 67.01637, "loss": 0.41533, "time": 0.39787} +{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.22311, "decode.acc_seg": 73.24769, "aux.loss_seg": 0.18541, "aux.acc_seg": 66.81518, "loss": 0.40852, "time": 0.40352} +{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.22878, "decode.acc_seg": 72.92641, "aux.loss_seg": 0.18581, "aux.acc_seg": 66.63333, "loss": 0.41459, "time": 0.40239} +{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.22736, "decode.acc_seg": 73.3549, "aux.loss_seg": 0.18763, "aux.acc_seg": 66.96845, "loss": 0.41499, "time": 0.40454} +{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.22468, "decode.acc_seg": 72.85212, "aux.loss_seg": 0.19168, "aux.acc_seg": 65.97625, "loss": 0.41636, "time": 0.39905} +{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2286, "decode.acc_seg": 72.36781, "aux.loss_seg": 0.18248, "aux.acc_seg": 66.32231, "loss": 0.41108, "time": 0.39947} +{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.21954, "decode.acc_seg": 72.74153, "aux.loss_seg": 0.18383, "aux.acc_seg": 66.22997, "loss": 0.40337, "time": 0.40218} +{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22073, "decode.acc_seg": 72.55281, "aux.loss_seg": 0.1803, "aux.acc_seg": 66.18835, "loss": 0.40103, "time": 0.39832} +{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.22489, "decode.acc_seg": 74.24668, "aux.loss_seg": 0.18149, "aux.acc_seg": 68.01132, "loss": 0.40638, "time": 0.39878} +{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.2331, "decode.acc_seg": 72.64711, "aux.loss_seg": 0.20056, "aux.acc_seg": 65.35962, "loss": 0.43366, "time": 0.40211} +{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.22577, "decode.acc_seg": 73.32591, "aux.loss_seg": 0.17753, "aux.acc_seg": 67.39044, "loss": 0.4033, "time": 0.40057} +{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.22744, "decode.acc_seg": 73.32078, "aux.loss_seg": 0.19007, "aux.acc_seg": 66.64061, "loss": 0.4175, "time": 0.40821} +{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23674, "decode.acc_seg": 73.37777, "aux.loss_seg": 0.19073, "aux.acc_seg": 66.70298, "loss": 0.42747, "time": 0.40549} +{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.23042, "decode.acc_seg": 72.79374, "aux.loss_seg": 0.19002, "aux.acc_seg": 66.15439, "loss": 0.42044, "time": 0.39876} +{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.22974, "decode.acc_seg": 74.30881, "aux.loss_seg": 0.18268, "aux.acc_seg": 68.19121, "loss": 0.41242, "time": 0.40137} +{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.234, "decode.acc_seg": 72.54645, "aux.loss_seg": 0.194, "aux.acc_seg": 66.04792, "loss": 0.428, "time": 0.40096} +{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.22667, "decode.acc_seg": 71.78656, "aux.loss_seg": 0.18564, "aux.acc_seg": 65.19895, "loss": 0.41231, "time": 0.39844} +{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.22833, "decode.acc_seg": 72.67043, "aux.loss_seg": 0.18307, "aux.acc_seg": 66.59413, "loss": 0.4114, "time": 0.40699} +{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.23181, "decode.acc_seg": 73.18651, "aux.loss_seg": 0.18792, "aux.acc_seg": 66.73444, "loss": 0.41973, "time": 0.41224} +{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.22778, "decode.acc_seg": 72.15284, "aux.loss_seg": 0.18428, "aux.acc_seg": 65.92674, "loss": 0.41206, "time": 0.40871} +{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23134, "decode.acc_seg": 74.25808, "aux.loss_seg": 0.18499, "aux.acc_seg": 67.9723, "loss": 0.41633, "time": 0.40588} +{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.22194, "decode.acc_seg": 72.65543, "aux.loss_seg": 0.18652, "aux.acc_seg": 65.97426, "loss": 0.40846, "time": 0.40298} +{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 17837, "data_time": 0.24609, "decode.loss_seg": 0.23593, "decode.acc_seg": 73.30196, "aux.loss_seg": 0.19441, "aux.acc_seg": 66.54023, "loss": 0.43034, "time": 0.6412} +{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.22423, "decode.acc_seg": 73.67006, "aux.loss_seg": 0.18448, "aux.acc_seg": 67.37002, "loss": 0.4087, "time": 0.39809} +{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23122, "decode.acc_seg": 72.65604, "aux.loss_seg": 0.19045, "aux.acc_seg": 65.91637, "loss": 0.42167, "time": 0.40452} +{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.22665, "decode.acc_seg": 72.60629, "aux.loss_seg": 0.1869, "aux.acc_seg": 66.07682, "loss": 0.41355, "time": 0.40985} +{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24242, "decode.acc_seg": 72.79561, "aux.loss_seg": 0.19567, "aux.acc_seg": 66.10808, "loss": 0.43808, "time": 0.40382} +{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.22573, "decode.acc_seg": 73.88058, "aux.loss_seg": 0.18968, "aux.acc_seg": 67.4639, "loss": 0.41541, "time": 0.39726} +{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23641, "decode.acc_seg": 72.68873, "aux.loss_seg": 0.1863, "aux.acc_seg": 66.44421, "loss": 0.42272, "time": 0.39637} +{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.22751, "decode.acc_seg": 72.85997, "aux.loss_seg": 0.1867, "aux.acc_seg": 66.5886, "loss": 0.41422, "time": 0.39693} +{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.23255, "decode.acc_seg": 73.09941, "aux.loss_seg": 0.18701, "aux.acc_seg": 66.60507, "loss": 0.41956, "time": 0.39776} +{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.22905, "decode.acc_seg": 72.67475, "aux.loss_seg": 0.18153, "aux.acc_seg": 66.61895, "loss": 0.41058, "time": 0.39956} +{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.22286, "decode.acc_seg": 75.02299, "aux.loss_seg": 0.18313, "aux.acc_seg": 68.49441, "loss": 0.40599, "time": 0.40103} +{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.22427, "decode.acc_seg": 71.94509, "aux.loss_seg": 0.18442, "aux.acc_seg": 65.17385, "loss": 0.40869, "time": 0.39866} +{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.22976, "decode.acc_seg": 73.88303, "aux.loss_seg": 0.18973, "aux.acc_seg": 67.49817, "loss": 0.41949, "time": 0.3954} +{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.22923, "decode.acc_seg": 73.07892, "aux.loss_seg": 0.18947, "aux.acc_seg": 66.45669, "loss": 0.4187, "time": 0.39473} +{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.22961, "decode.acc_seg": 73.6412, "aux.loss_seg": 0.18827, "aux.acc_seg": 67.4058, "loss": 0.41787, "time": 0.39623} +{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.22823, "decode.acc_seg": 73.32526, "aux.loss_seg": 0.19121, "aux.acc_seg": 66.46662, "loss": 0.41945, "time": 0.40277} +{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.2347, "decode.acc_seg": 73.25413, "aux.loss_seg": 0.19254, "aux.acc_seg": 66.66311, "loss": 0.42724, "time": 0.41305} +{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4624, "mAcc": 0.5842, "aAcc": 0.8148, "IoU.wall": 0.7532, "IoU.building": 0.8059, "IoU.sky": 0.9381, "IoU.floor": 0.7995, "IoU.tree": 0.7333, "IoU.ceiling": 0.8217, "IoU.road": 0.8089, "IoU.bed ": 0.8596, "IoU.windowpane": 0.6027, "IoU.grass": 0.6461, "IoU.cabinet": 0.5879, "IoU.sidewalk": 0.6105, "IoU.person": 0.7544, "IoU.earth": 0.3491, "IoU.door": 0.4229, "IoU.table": 0.5477, "IoU.mountain": 0.5874, "IoU.plant": 0.5065, "IoU.curtain": 0.6745, "IoU.chair": 0.5202, "IoU.car": 0.8219, "IoU.water": 0.4987, "IoU.painting": 0.6881, "IoU.sofa": 0.5736, "IoU.shelf": 0.3842, "IoU.house": 0.4662, "IoU.sea": 0.5218, "IoU.mirror": 0.5881, "IoU.rug": 0.6438, "IoU.field": 0.2771, "IoU.armchair": 0.3505, "IoU.seat": 0.5849, "IoU.fence": 0.423, "IoU.desk": 0.4891, "IoU.rock": 0.4134, "IoU.wardrobe": 0.4384, "IoU.lamp": 0.5666, "IoU.bathtub": 0.7274, "IoU.railing": 0.3419, "IoU.cushion": 0.5271, "IoU.base": 0.3218, "IoU.box": 0.2486, "IoU.column": 0.4094, "IoU.signboard": 0.3269, "IoU.chest of drawers": 0.3799, "IoU.counter": 0.2683, "IoU.sand": 0.4257, "IoU.sink": 0.6813, "IoU.skyscraper": 0.6653, "IoU.fireplace": NaN, "IoU.refrigerator": 0.712, "IoU.grandstand": 0.4854, "IoU.path": 0.1869, "IoU.stairs": 0.2969, "IoU.runway": 0.6932, "IoU.case": 0.458, "IoU.pool table": 0.9034, "IoU.pillow": 0.5404, "IoU.screen door": 0.5666, "IoU.stairway": 0.2486, "IoU.river": 0.164, "IoU.bridge": 0.5846, "IoU.bookcase": 0.4393, "IoU.blind": NaN, "IoU.coffee table": 0.532, "IoU.toilet": 0.8072, "IoU.flower": 0.4159, "IoU.book": 0.4401, "IoU.hill": 0.1254, "IoU.bench": 0.4046, "IoU.countertop": 0.497, "IoU.stove": 0.673, "IoU.palm": 0.5059, "IoU.kitchen island": 0.3604, "IoU.computer": 0.6677, "IoU.swivel chair": 0.4443, "IoU.boat": 0.4193, "IoU.bar": 0.3548, "IoU.arcade machine": 0.4929, "IoU.hovel": 0.3945, "IoU.bus": 0.7806, "IoU.towel": 0.6111, "IoU.light": 0.5053, "IoU.truck": 0.1523, "IoU.tower": 0.2917, "IoU.chandelier": 0.63, "IoU.awning": 0.2434, "IoU.streetlight": 0.1902, "IoU.booth": 0.5547, "IoU.television receiver": NaN, "IoU.airplane": 0.5326, "IoU.dirt track": 0.213, "IoU.apparel": 0.3014, "IoU.pole": 0.1362, "IoU.land": 0.0406, "IoU.bannister": 0.0457, "IoU.escalator": 0.3101, "IoU.ottoman": 0.3725, "IoU.bottle": NaN, "IoU.buffet": 0.4707, "IoU.poster": 0.2576, "IoU.stage": 0.161, "IoU.van": 0.4024, "IoU.ship": 0.5635, "IoU.fountain": 0.231, "IoU.conveyer belt": 0.791, "IoU.canopy": 0.2092, "IoU.washer": 0.6726, "IoU.plaything": 0.1777, "IoU.swimming pool": 0.5673, "IoU.stool": 0.3767, "IoU.barrel": 0.497, "IoU.basket": 0.2327, "IoU.waterfall": 0.5533, "IoU.tent": 0.9061, "IoU.bag": 0.0631, "IoU.minibike": 0.7234, "IoU.cradle": NaN, "IoU.oven": 0.3564, "IoU.ball": 0.4094, "IoU.food": 0.4949, "IoU.step": 0.0813, "IoU.tank": 0.5451, "IoU.trade name": 0.2417, "IoU.microwave": 0.7608, "IoU.pot": 0.4506, "IoU.animal": NaN, "IoU.bicycle": 0.4865, "IoU.lake": 0.5644, "IoU.dishwasher": 0.5819, "IoU.screen": 0.6755, "IoU.blanket": 0.1223, "IoU.sculpture": 0.5179, "IoU.hood": 0.5707, "IoU.sconce": 0.4331, "IoU.vase": 0.3123, "IoU.traffic light": 0.237, "IoU.tray": 0.075, "IoU.ashcan": 0.3007, "IoU.fan": 0.5501, "IoU.pier": 0.319, "IoU.crt screen": 0.042, "IoU.plate": 0.5293, "IoU.monitor": 0.099, "IoU.bulletin board": 0.3338, "IoU.shower": 0.016, "IoU.radiator": 0.5493, "IoU.glass": 0.1149, "IoU.clock": 0.3567, "IoU.flag": 0.4858, "Acc.wall": 0.8686, "Acc.building": 0.9067, "Acc.sky": 0.9705, "Acc.floor": 0.8972, "Acc.tree": 0.8747, "Acc.ceiling": 0.915, "Acc.road": 0.8863, "Acc.bed ": 0.9473, "Acc.windowpane": 0.7693, "Acc.grass": 0.826, "Acc.cabinet": 0.7136, "Acc.sidewalk": 0.7792, "Acc.person": 0.906, "Acc.earth": 0.4685, "Acc.door": 0.5572, "Acc.table": 0.7133, "Acc.mountain": 0.7309, "Acc.plant": 0.6214, "Acc.curtain": 0.8217, "Acc.chair": 0.6848, "Acc.car": 0.9104, "Acc.water": 0.6477, "Acc.painting": 0.8693, "Acc.sofa": 0.7723, "Acc.shelf": 0.5682, "Acc.house": 0.6799, "Acc.sea": 0.7754, "Acc.mirror": 0.6964, "Acc.rug": 0.7064, "Acc.field": 0.4606, "Acc.armchair": 0.5046, "Acc.seat": 0.7607, "Acc.fence": 0.5766, "Acc.desk": 0.6911, "Acc.rock": 0.6268, "Acc.wardrobe": 0.6067, "Acc.lamp": 0.707, "Acc.bathtub": 0.8, "Acc.railing": 0.4931, "Acc.cushion": 0.667, "Acc.base": 0.4372, "Acc.box": 0.3293, "Acc.column": 0.5024, "Acc.signboard": 0.4471, "Acc.chest of drawers": 0.5266, "Acc.counter": 0.3335, "Acc.sand": 0.6533, "Acc.sink": 0.766, "Acc.skyscraper": 0.8533, "Acc.fireplace": NaN, "Acc.refrigerator": 0.844, "Acc.grandstand": 0.7423, "Acc.path": 0.2675, "Acc.stairs": 0.3614, "Acc.runway": 0.8964, "Acc.case": 0.5839, "Acc.pool table": 0.962, "Acc.pillow": 0.6351, "Acc.screen door": 0.7685, "Acc.stairway": 0.3365, "Acc.river": 0.2634, "Acc.bridge": 0.7051, "Acc.bookcase": 0.5356, "Acc.blind": NaN, "Acc.coffee table": 0.7882, "Acc.toilet": 0.8892, "Acc.flower": 0.5723, "Acc.book": 0.6612, "Acc.hill": 0.1826, "Acc.bench": 0.507, "Acc.countertop": 0.6585, "Acc.stove": 0.7851, "Acc.palm": 0.7496, "Acc.kitchen island": 0.6859, "Acc.computer": 0.802, "Acc.swivel chair": 0.5829, "Acc.boat": 0.4774, "Acc.bar": 0.4708, "Acc.arcade machine": 0.5266, "Acc.hovel": 0.4417, "Acc.bus": 0.9417, "Acc.towel": 0.7505, "Acc.light": 0.586, "Acc.truck": 0.2105, "Acc.tower": 0.44, "Acc.chandelier": 0.8049, "Acc.awning": 0.3005, "Acc.streetlight": 0.254, "Acc.booth": 0.6294, "Acc.television receiver": NaN, "Acc.airplane": 0.6227, "Acc.dirt track": 0.4459, "Acc.apparel": 0.4784, "Acc.pole": 0.1819, "Acc.land": 0.0507, "Acc.bannister": 0.056, "Acc.escalator": 0.4052, "Acc.ottoman": 0.563, "Acc.bottle": NaN, "Acc.buffet": 0.5536, "Acc.poster": 0.3614, "Acc.stage": 0.2534, "Acc.van": 0.5617, "Acc.ship": 0.8966, "Acc.fountain": 0.2331, "Acc.conveyer belt": 0.8809, "Acc.canopy": 0.2825, "Acc.washer": 0.7157, "Acc.plaything": 0.2705, "Acc.swimming pool": 0.8117, "Acc.stool": 0.5018, "Acc.barrel": 0.6903, "Acc.basket": 0.3135, "Acc.waterfall": 0.7046, "Acc.tent": 0.9833, "Acc.bag": 0.0786, "Acc.minibike": 0.8659, "Acc.cradle": NaN, "Acc.oven": 0.5388, "Acc.ball": 0.4394, "Acc.food": 0.5665, "Acc.step": 0.0984, "Acc.tank": 0.6335, "Acc.trade name": 0.2961, "Acc.microwave": 0.8589, "Acc.pot": 0.5172, "Acc.animal": NaN, "Acc.bicycle": 0.714, "Acc.lake": 0.651, "Acc.dishwasher": 0.7156, "Acc.screen": 0.8236, "Acc.blanket": 0.1416, "Acc.sculpture": 0.7385, "Acc.hood": 0.642, "Acc.sconce": 0.5239, "Acc.vase": 0.4519, "Acc.traffic light": 0.3696, "Acc.tray": 0.145, "Acc.ashcan": 0.3643, "Acc.fan": 0.6985, "Acc.pier": 0.4707, "Acc.crt screen": 0.122, "Acc.plate": 0.6538, "Acc.monitor": 0.1086, "Acc.bulletin board": 0.4529, "Acc.shower": 0.0282, "Acc.radiator": 0.5992, "Acc.glass": 0.1271, "Acc.clock": 0.453, "Acc.flag": 0.5937} diff --git a/PyTorch/build-in/Classification/Twins/Twins/losses.py b/PyTorch/build-in/Classification/Twins/Twins/losses.py new file mode 100644 index 000000000..ff7748fb8 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/losses.py @@ -0,0 +1,64 @@ +# Copyright (c) 2015-present, Facebook, Inc. +# All rights reserved. +""" +Implements the knowledge distillation loss +""" +import torch +from torch.nn import functional as F + + +class DistillationLoss(torch.nn.Module): + """ + This module wraps a standard criterion and adds an extra knowledge distillation loss by + taking a teacher model prediction and using it as additional supervision. + """ + def __init__(self, base_criterion: torch.nn.Module, teacher_model: torch.nn.Module, + distillation_type: str, alpha: float, tau: float): + super().__init__() + self.base_criterion = base_criterion + self.teacher_model = teacher_model + assert distillation_type in ['none', 'soft', 'hard'] + self.distillation_type = distillation_type + self.alpha = alpha + self.tau = tau + + def forward(self, inputs, outputs, labels): + """ + Args: + inputs: The original inputs that are feed to the teacher model + outputs: the outputs of the model to be trained. It is expected to be + either a Tensor, or a Tuple[Tensor, Tensor], with the original output + in the first position and the distillation predictions as the second output + labels: the labels for the base criterion + """ + outputs_kd = None + if not isinstance(outputs, torch.Tensor): + # assume that the model outputs a tuple of [outputs, outputs_kd] + outputs, outputs_kd = outputs + base_loss = self.base_criterion(outputs, labels) + if self.distillation_type == 'none': + return base_loss + + if outputs_kd is None: + raise ValueError("When knowledge distillation is enabled, the model is " + "expected to return a Tuple[Tensor, Tensor] with the output of the " + "class_token and the dist_token") + # don't backprop throught the teacher + with torch.no_grad(): + teacher_outputs = self.teacher_model(inputs) + + if self.distillation_type == 'soft': + T = self.tau + # taken from https://github.com/peterliht/knowledge-distillation-pytorch/blob/master/model/net.py#L100 + # with slight modifications + distillation_loss = F.kl_div( + F.log_softmax(outputs_kd / T, dim=1), + F.log_softmax(teacher_outputs / T, dim=1), + reduction='sum', + log_target=True + ) * (T * T) / outputs_kd.numel() + elif self.distillation_type == 'hard': + distillation_loss = F.cross_entropy(outputs_kd, teacher_outputs.argmax(dim=1)) + + loss = base_loss * (1 - self.alpha) + distillation_loss * self.alpha + return loss diff --git a/PyTorch/build-in/Classification/Twins/Twins/main.py b/PyTorch/build-in/Classification/Twins/Twins/main.py new file mode 100644 index 000000000..a0d0c88ca --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/main.py @@ -0,0 +1,384 @@ +import argparse +import datetime +import numpy as np +import time +import torch +import torch.backends.cudnn as cudnn +import json + +from pathlib import Path + +from timm.data import Mixup +from timm.models import create_model +from timm.loss import LabelSmoothingCrossEntropy, SoftTargetCrossEntropy +from timm.scheduler import create_scheduler +from timm.optim import create_optimizer +from timm.utils import NativeScaler, get_state_dict, ModelEma + +from datasets import build_dataset +from engine import train_one_epoch, evaluate +from losses import DistillationLoss +from samplers import RASampler +import gvt +import utils +import collections + + +def get_args_parser(): + parser = argparse.ArgumentParser('PVT training and evaluation script', add_help=False) + parser.add_argument('--batch-size', default=64, type=int) + parser.add_argument('--epochs', default=300, type=int) + + # Model parameters + parser.add_argument('--model', default='pvt_small', type=str, metavar='MODEL', + help='Name of model to train') + parser.add_argument('--input-size', default=224, type=int, help='images input size') + + parser.add_argument('--drop', type=float, default=0.0, metavar='PCT', + help='Dropout rate (default: 0.)') + parser.add_argument('--drop-path', type=float, default=0.1, metavar='PCT', + help='Drop path rate (default: 0.1)') + + # Optimizer parameters + parser.add_argument('--opt', default='adamw', type=str, metavar='OPTIMIZER', + help='Optimizer (default: "adamw"') + parser.add_argument('--opt-eps', default=1e-8, type=float, metavar='EPSILON', + help='Optimizer Epsilon (default: 1e-8)') + parser.add_argument('--opt-betas', default=None, type=float, nargs='+', metavar='BETA', + help='Optimizer Betas (default: None, use opt default)') + parser.add_argument('--clip-grad', type=float, default=5, metavar='NORM', + help='Clip gradient norm (default: None, no clipping)') + parser.add_argument('--momentum', type=float, default=0.9, metavar='M', + help='SGD momentum (default: 0.9)') + parser.add_argument('--weight-decay', type=float, default=0.05, + help='weight decay (default: 0.05)') + # Learning rate schedule parameters + parser.add_argument('--sched', default='cosine', type=str, metavar='SCHEDULER', + help='LR scheduler (default: "cosine"') + parser.add_argument('--lr', type=float, default=5e-4, metavar='LR', + help='learning rate (default: 5e-4)') + parser.add_argument('--lr-noise', type=float, nargs='+', default=None, metavar='pct, pct', + help='learning rate noise on/off epoch percentages') + parser.add_argument('--lr-noise-pct', type=float, default=0.67, metavar='PERCENT', + help='learning rate noise limit percent (default: 0.67)') + parser.add_argument('--lr-noise-std', type=float, default=1.0, metavar='STDDEV', + help='learning rate noise std-dev (default: 1.0)') + parser.add_argument('--warmup-lr', type=float, default=1e-6, metavar='LR', + help='warmup learning rate (default: 1e-6)') + parser.add_argument('--min-lr', type=float, default=1e-5, metavar='LR', + help='lower lr bound for cyclic schedulers that hit 0 (1e-5)') + + parser.add_argument('--decay-epochs', type=float, default=30, metavar='N', + help='epoch interval to decay LR') + parser.add_argument('--warmup-epochs', type=int, default=5, metavar='N', + help='epochs to warmup LR, if scheduler supports') + parser.add_argument('--cooldown-epochs', type=int, default=10, metavar='N', + help='epochs to cooldown LR at min_lr, after cyclic schedule ends') + parser.add_argument('--patience-epochs', type=int, default=10, metavar='N', + help='patience epochs for Plateau LR scheduler (default: 10') + parser.add_argument('--decay-rate', '--dr', type=float, default=0.1, metavar='RATE', + help='LR decay rate (default: 0.1)') + + # Augmentation parameters + parser.add_argument('--color-jitter', type=float, default=0.4, metavar='PCT', + help='Color jitter factor (default: 0.4)') + parser.add_argument('--aa', type=str, default='rand-m9-mstd0.5-inc1', metavar='NAME', + help='Use AutoAugment policy. "v0" or "original". " + \ + "(default: rand-m9-mstd0.5-inc1)'), + parser.add_argument('--smoothing', type=float, default=0.1, help='Label smoothing (default: 0.1)') + parser.add_argument('--train-interpolation', type=str, default='bicubic', + help='Training interpolation (random, bilinear, bicubic default: "bicubic")') + + parser.add_argument('--repeated-aug', action='store_true') + parser.add_argument('--no-repeated-aug', action='store_false', dest='repeated_aug') + parser.set_defaults(repeated_aug=False) + + # * Random Erase params + parser.add_argument('--reprob', type=float, default=0.25, metavar='PCT', + help='Random erase prob (default: 0.25)') + parser.add_argument('--remode', type=str, default='pixel', + help='Random erase mode (default: "pixel")') + parser.add_argument('--recount', type=int, default=1, + help='Random erase count (default: 1)') + parser.add_argument('--resplit', action='store_true', default=False, + help='Do not random erase first (clean) augmentation split') + + # * Mixup params + parser.add_argument('--mixup', type=float, default=0.8, + help='mixup alpha, mixup enabled if > 0. (default: 0.8)') + parser.add_argument('--cutmix', type=float, default=1.0, + help='cutmix alpha, cutmix enabled if > 0. (default: 1.0)') + parser.add_argument('--cutmix-minmax', type=float, nargs='+', default=None, + help='cutmix min/max ratio, overrides alpha and enables cutmix if set (default: None)') + parser.add_argument('--mixup-prob', type=float, default=1.0, + help='Probability of performing mixup or cutmix when either/both is enabled') + parser.add_argument('--mixup-switch-prob', type=float, default=0.5, + help='Probability of switching to cutmix when both mixup and cutmix enabled') + parser.add_argument('--mixup-mode', type=str, default='batch', + help='How to apply mixup/cutmix params. Per "batch", "pair", or "elem"') + + # * Finetuning params + parser.add_argument('--finetune', default='', help='finetune from checkpoint') + + # Dataset parameters + parser.add_argument('--data-path', default='/datasets01/imagenet_full_size/061417/', type=str, + help='dataset path') + parser.add_argument('--data-set', default='IMNET', choices=['CIFAR', 'IMNET', 'INAT', 'INAT19'], + type=str, help='Image Net dataset path') + parser.add_argument('--use-mcloader', action='store_true', default=False, help='Use mcloader') + parser.add_argument('--inat-category', default='name', + choices=['kingdom', 'phylum', 'class', 'order', 'supercategory', 'family', 'genus', 'name'], + type=str, help='semantic granularity') + + parser.add_argument('--output_dir', default='', + help='path where to save, empty for no saving') + parser.add_argument('--device', default='cuda', + help='device to use for training / testing') + parser.add_argument('--seed', default=0, type=int) + parser.add_argument('--resume', default='', help='resume from checkpoint') + parser.add_argument('--start_epoch', default=0, type=int, metavar='N', + help='start epoch') + parser.add_argument('--eval', action='store_true', help='Perform evaluation only') + parser.add_argument('--dist-eval', action='store_true', default=False, help='Enabling distributed evaluation') + parser.add_argument('--num_workers', default=10, type=int) + parser.add_argument('--pin-mem', action='store_true', + help='Pin CPU memory in DataLoader for more efficient (sometimes) transfer to GPU.') + parser.add_argument('--no-pin-mem', action='store_false', dest='pin_mem', + help='') + parser.set_defaults(pin_mem=True) + + # distributed training parameters + parser.add_argument('--world_size', default=1, type=int, + help='number of distributed processes') + parser.add_argument('--dist_url', default='env://', help='url used to set up distributed training') + + # test throught + parser.add_argument('--throughout', action='store_true', help='Perform throughout only') + return parser + + +@torch.no_grad() +def throughput(data_loader, model, logger): + model.eval() + + for idx, (images, _) in enumerate(data_loader): + images = images.cuda(non_blocking=True) + batch_size = images.shape[0] + for i in range(50): + model(images) + torch.cuda.synchronize() + logger.info(f"throughput averaged with 30 times") + tic1 = time.time() + for i in range(30): + model(images) + torch.cuda.synchronize() + tic2 = time.time() + logger.info(f"batch_size {batch_size} throughput {30 * batch_size / (tic2 - tic1)}") + return + + +def main(args): + utils.init_distributed_mode(args) + print(args) + + device = torch.device(args.device) + + # fix the seed for reproducibility + seed = args.seed + utils.get_rank() + torch.manual_seed(seed) + np.random.seed(seed) + cudnn.benchmark = True + + dataset_train, args.nb_classes = build_dataset(is_train=True, args=args) + dataset_val, _ = build_dataset(is_train=False, args=args) + + if args.distributed: + num_tasks = utils.get_world_size() + global_rank = utils.get_rank() + if args.repeated_aug: + sampler_train = RASampler( + dataset_train, num_replicas=num_tasks, rank=global_rank, shuffle=True + ) + else: + sampler_train = torch.utils.data.DistributedSampler( + dataset_train, num_replicas=num_tasks, rank=global_rank, shuffle=True + ) + if args.dist_eval: + if len(dataset_val) % num_tasks != 0: + print('Warning: Enabling distributed evaluation with an eval dataset not divisible by process number. ' + 'This will slightly alter validation results as extra duplicate entries are added to achieve ' + 'equal num of samples per-process.') + sampler_val = torch.utils.data.DistributedSampler( + dataset_val, num_replicas=num_tasks, rank=global_rank, shuffle=False) + else: + sampler_val = torch.utils.data.SequentialSampler(dataset_val) + else: + sampler_train = torch.utils.data.RandomSampler(dataset_train) + sampler_val = torch.utils.data.SequentialSampler(dataset_val) + + data_loader_train = torch.utils.data.DataLoader( + dataset_train, sampler=sampler_train, + batch_size=args.batch_size, + num_workers=args.num_workers, + pin_memory=args.pin_mem, + drop_last=True, + ) + + data_loader_val = torch.utils.data.DataLoader( + dataset_val, sampler=sampler_val, + batch_size=int(1.5 * args.batch_size), + num_workers=args.num_workers, + pin_memory=args.pin_mem, + drop_last=False + ) + + mixup_fn = None + mixup_active = args.mixup > 0 or args.cutmix > 0. or args.cutmix_minmax is not None + if mixup_active: + mixup_fn = Mixup( + mixup_alpha=args.mixup, cutmix_alpha=args.cutmix, cutmix_minmax=args.cutmix_minmax, + prob=args.mixup_prob, switch_prob=args.mixup_switch_prob, mode=args.mixup_mode, + label_smoothing=args.smoothing, num_classes=args.nb_classes) + + print(f"Creating model: {args.model}") + model = create_model( + args.model, + pretrained=False, + num_classes=args.nb_classes, + drop_rate=args.drop, + drop_path_rate=args.drop_path, + drop_block_rate=None, + ) + model.to(device) + model_ema = None + + if args.distributed: + model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[args.gpu]) + model_without_ddp = model.module + else: + model_without_ddp = model + n_parameters = sum(p.numel() for p in model.parameters() if p.requires_grad) + print('number of params:', n_parameters) + + linear_scaled_lr = args.lr * args.batch_size * utils.get_world_size() / 512.0 + args.lr = linear_scaled_lr + optimizer = create_optimizer(args, model_without_ddp) + loss_scaler = NativeScaler() + + lr_scheduler, _ = create_scheduler(args, optimizer) + + criterion = LabelSmoothingCrossEntropy() + + if args.mixup > 0.: + # smoothing is handled with mixup label transform + criterion = SoftTargetCrossEntropy() + elif args.smoothing: + criterion = LabelSmoothingCrossEntropy(smoothing=args.smoothing) + else: + criterion = torch.nn.CrossEntropyLoss() + + criterion = DistillationLoss( + criterion, None, 'none', 0, 0 + ) + + if not args.output_dir: + args.output_dir = args.model + if utils.is_main_process(): + import os + if not os.path.exists(args.model): + os.mkdir(args.model) + + output_dir = Path(args.output_dir) + if args.resume: + if args.resume.startswith('https'): + checkpoint = torch.hub.load_state_dict_from_url( + args.resume, map_location='cpu', check_hash=True) + else: + checkpoint = torch.load(args.resume, map_location='cpu') + if 'model' in checkpoint: + model_without_ddp.load_state_dict(checkpoint['model']) + else: + model_without_ddp.load_state_dict(checkpoint) + + if not args.eval and 'optimizer' in checkpoint and 'lr_scheduler' in checkpoint and 'epoch' in checkpoint: + optimizer.load_state_dict(checkpoint['optimizer']) + lr_scheduler.load_state_dict(checkpoint['lr_scheduler']) + args.start_epoch = checkpoint['epoch'] + 1 + if 'scaler' in checkpoint: + loss_scaler.load_state_dict(checkpoint['scaler']) + + if args.eval: + test_stats = evaluate(data_loader_val, model, device) + print(f"Accuracy of the network on the {len(dataset_val)} test images: {test_stats['acc1']:.1f}%") + return + + if args.throughout: + from logger import create_logger + logger = create_logger(output_dir=output_dir, dist_rank=utils.get_rank(), name=args.model) + throughput(data_loader_val, model, logger) + return + + print(f"Start training for {args.epochs} epochs") + start_time = time.time() + max_accuracy = 0.0 + + for epoch in range(args.start_epoch, args.epochs): + if args.distributed: + data_loader_train.sampler.set_epoch(epoch) + + train_stats = train_one_epoch( + model, criterion, data_loader_train, + optimizer, device, epoch, loss_scaler, + args.clip_grad, model_ema, mixup_fn, + set_training_mode=args.finetune == '' # keep in eval mode during finetuning + ) + + lr_scheduler.step(epoch) + if args.output_dir: + checkpoint_paths = [output_dir / 'checkpoint.pth'] + for checkpoint_path in checkpoint_paths: + utils.save_on_master({ + 'model': model_without_ddp.state_dict(), + 'optimizer': optimizer.state_dict(), + 'lr_scheduler': lr_scheduler.state_dict(), + 'epoch': epoch, + 'scaler': loss_scaler.state_dict(), + 'args': args, + }, checkpoint_path) + + test_stats = evaluate(data_loader_val, model, device) + print(f"Accuracy of the network on the {len(dataset_val)} test images: {test_stats['acc1']:.1f}%") + if test_stats["acc1"] > max_accuracy: + if args.output_dir: + checkpoint_paths = [output_dir / 'checkpoint_best.pth'] + for checkpoint_path in checkpoint_paths: + utils.save_on_master({ + 'model': model_without_ddp.state_dict(), + 'optimizer': optimizer.state_dict(), + 'lr_scheduler': lr_scheduler.state_dict(), + 'epoch': epoch, + 'args': args, + }, checkpoint_path) + max_accuracy = max(max_accuracy, test_stats["acc1"]) + print(f'Max accuracy: {max_accuracy:.2f}%') + + log_stats = {**{f'train_{k}': v for k, v in train_stats.items()}, + **{f'test_{k}': v for k, v in test_stats.items()}, + 'epoch': epoch, + 'n_parameters': n_parameters} + + if args.output_dir and utils.is_main_process(): + with (output_dir / "log.txt").open("a") as f: + f.write(json.dumps(log_stats) + "\n") + + total_time = time.time() - start_time + total_time_str = str(datetime.timedelta(seconds=int(total_time))) + print('Training time {}'.format(total_time_str)) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser('Twins training and evaluation script', parents=[get_args_parser()]) + args = parser.parse_args() + if args.output_dir: + Path(args.output_dir).mkdir(parents=True, exist_ok=True) + main(args) diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py new file mode 100644 index 000000000..5e0d540a1 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py @@ -0,0 +1,2 @@ +from .classification import ClassificationDataset +from .data_prefetcher import DataPrefetcher \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py new file mode 100644 index 000000000..edf2e82f9 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py @@ -0,0 +1,31 @@ +import torch +from torch.utils.data import Dataset +from .imagenet import ImageNet + + +class ClassificationDataset(Dataset): + """Dataset for classification. + """ + + def __init__(self, split='train', pipeline=None): + if split == 'train': + self.data_source = ImageNet(root='data/imagenet/train', + list_file='data/imagenet/meta/train.txt', + memcached=True, + mclient_path='/mnt/lustre/share/memcached_client') + else: + self.data_source = ImageNet(root='data/imagenet/val', + list_file='data/imagenet/meta/val.txt', + memcached=True, + mclient_path='/mnt/lustre/share/memcached_client') + self.pipeline = pipeline + + def __len__(self): + return self.data_source.get_length() + + def __getitem__(self, idx): + img, target = self.data_source.get_sample(idx) + if self.pipeline is not None: + img = self.pipeline(img) + + return img, target diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py new file mode 100644 index 000000000..b57c306c9 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py @@ -0,0 +1,28 @@ +import torch + + +class DataPrefetcher: + def __init__(self, loader): + self.loader = iter(loader) + self.stream = torch.cuda.Stream() + self.preload() + + def preload(self): + try: + self.next_input, self.next_target = next(self.loader) + except StopIteration: + self.next_input = None + self.next_target = None + return + + with torch.cuda.stream(self.stream): + self.next_input = self.next_input.cuda(non_blocking=True) + self.next_target = self.next_target.cuda(non_blocking=True) + + def next(self): + torch.cuda.current_stream().wait_stream(self.stream) + input = self.next_input + target = self.next_target + if input is not None: + self.preload() + return input, target diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py new file mode 100644 index 000000000..8156e0d94 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py @@ -0,0 +1,44 @@ +import os +from PIL import Image + +from .mcloader import McLoader + + +class ImageList(object): + + def __init__(self, root, list_file, memcached=False, mclient_path=None): + with open(list_file, 'r') as f: + lines = f.readlines() + self.has_labels = len(lines[0].split()) == 2 + if self.has_labels: + self.fns, self.labels = zip(*[l.strip().split() for l in lines]) + self.labels = [int(l) for l in self.labels] + else: + self.fns = [l.strip() for l in lines] + self.fns = [os.path.join(root, fn) for fn in self.fns] + self.memcached = memcached + self.mclient_path = mclient_path + self.initialized = False + + def _init_memcached(self): + if not self.initialized: + assert self.mclient_path is not None + self.mc_loader = McLoader(self.mclient_path) + self.initialized = True + + def get_length(self): + return len(self.fns) + + def get_sample(self, idx): + if self.memcached: + self._init_memcached() + if self.memcached: + img = self.mc_loader(self.fns[idx]) + else: + img = Image.open(self.fns[idx]) + img = img.convert('RGB') + if self.has_labels: + target = self.labels[idx] + return img, target + else: + return img diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py new file mode 100644 index 000000000..62b3bb65b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py @@ -0,0 +1,8 @@ +from .image_list import ImageList + + +class ImageNet(ImageList): + + def __init__(self, root, list_file, memcached, mclient_path): + super(ImageNet, self).__init__( + root, list_file, memcached, mclient_path) diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py new file mode 100644 index 000000000..23fc59339 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py @@ -0,0 +1,36 @@ +import io +from PIL import Image +try: + import mc +except ImportError as E: + pass + + +def pil_loader(img_str): + buff = io.BytesIO(img_str) + return Image.open(buff) + + +class McLoader(object): + + def __init__(self, mclient_path): + assert mclient_path is not None, \ + "Please specify 'data_mclient_path' in the config." + self.mclient_path = mclient_path + server_list_config_file = "{}/server_list.conf".format( + self.mclient_path) + client_config_file = "{}/client.conf".format(self.mclient_path) + self.mclient = mc.MemcachedClient.GetInstance(server_list_config_file, + client_config_file) + + def __call__(self, fn): + try: + img_value = mc.pyvector() + self.mclient.Get(fn, img_value) + img_value_str = mc.ConvertBuffer(img_value) + img = pil_loader(img_value_str) + except: + print('Read image failed ({})'.format(fn)) + return None + else: + return img \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/requirements.txt b/PyTorch/build-in/Classification/Twins/Twins/requirements.txt new file mode 100644 index 000000000..56d010d8b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/requirements.txt @@ -0,0 +1,4 @@ +torch==1.7.0 +torchvision==0.8.1 +timm==0.3.2 +termcolor \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/samplers.py b/PyTorch/build-in/Classification/Twins/Twins/samplers.py new file mode 100644 index 000000000..188728fe1 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/samplers.py @@ -0,0 +1,60 @@ +# Borrow from PVT and DeiT +# Copyright (c) 2015-present, Facebook, Inc. +# All rights reserved. +import torch +import torch.distributed as dist +import math + + +class RASampler(torch.utils.data.Sampler): + """Sampler that restricts data loading to a subset of the dataset for distributed, + with repeated augmentation. + It ensures that different each augmented version of a sample will be visible to a + different process (GPU) + Heavily based on torch.utils.data.DistributedSampler + """ + + def __init__(self, dataset, num_replicas=None, rank=None, shuffle=True): + if num_replicas is None: + if not dist.is_available(): + raise RuntimeError("Requires distributed package to be available") + num_replicas = dist.get_world_size() + if rank is None: + if not dist.is_available(): + raise RuntimeError("Requires distributed package to be available") + rank = dist.get_rank() + self.dataset = dataset + self.num_replicas = num_replicas + self.rank = rank + self.epoch = 0 + self.num_samples = int(math.ceil(len(self.dataset) * 3.0 / self.num_replicas)) + self.total_size = self.num_samples * self.num_replicas + # self.num_selected_samples = int(math.ceil(len(self.dataset) / self.num_replicas)) + self.num_selected_samples = int(math.floor(len(self.dataset) // 256 * 256 / self.num_replicas)) + self.shuffle = shuffle + + def __iter__(self): + # deterministically shuffle based on epoch + g = torch.Generator() + g.manual_seed(self.epoch) + if self.shuffle: + indices = torch.randperm(len(self.dataset), generator=g).tolist() + else: + indices = list(range(len(self.dataset))) + + # add extra samples to make it evenly divisible + indices = [ele for ele in indices for i in range(3)] + indices += indices[:(self.total_size - len(indices))] + assert len(indices) == self.total_size + + # subsample + indices = indices[self.rank:self.total_size:self.num_replicas] + assert len(indices) == self.num_samples + + return iter(indices[:self.num_selected_samples]) + + def __len__(self): + return self.num_selected_samples + + def set_epoch(self, epoch): + self.epoch = epoch diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py new file mode 100644 index 000000000..3bcd3d7cf --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py @@ -0,0 +1,54 @@ +# dataset settings +dataset_type = 'ADE20KDataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=True), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']), +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + #img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75], + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']), + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/training', + ann_dir='annotations/training', + pipeline=train_pipeline), + val=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py new file mode 100644 index 000000000..298594ea9 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py @@ -0,0 +1,59 @@ +# dataset settings +dataset_type = 'ChaseDB1Dataset' +data_root = 'data/CHASE_DB1' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +img_scale = (960, 999) +crop_size = (128, 128) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations'), + dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=img_scale, + # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=40000, + dataset=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/training', + ann_dir='annotations/training', + pipeline=train_pipeline)), + val=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py new file mode 100644 index 000000000..06e8ff606 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py @@ -0,0 +1,59 @@ +# dataset settings +dataset_type = 'DRIVEDataset' +data_root = 'data/DRIVE' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +img_scale = (584, 565) +crop_size = (64, 64) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations'), + dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=img_scale, + # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=40000, + dataset=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/training', + ann_dir='annotations/training', + pipeline=train_pipeline)), + val=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py new file mode 100644 index 000000000..242d790eb --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py @@ -0,0 +1,59 @@ +# dataset settings +dataset_type = 'HRFDataset' +data_root = 'data/HRF' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +img_scale = (2336, 3504) +crop_size = (256, 256) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations'), + dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=img_scale, + # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=40000, + dataset=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/training', + ann_dir='annotations/training', + pipeline=train_pipeline)), + val=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py new file mode 100644 index 000000000..ff65bad1b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py @@ -0,0 +1,60 @@ +# dataset settings +dataset_type = 'PascalContextDataset' +data_root = 'data/VOCdevkit/VOC2010/' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) + +img_scale = (520, 520) +crop_size = (480, 480) + +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations'), + dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']), +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=img_scale, + # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75], + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']), + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + img_dir='JPEGImages', + ann_dir='SegmentationClassContext', + split='ImageSets/SegmentationContext/train.txt', + pipeline=train_pipeline), + val=dict( + type=dataset_type, + data_root=data_root, + img_dir='JPEGImages', + ann_dir='SegmentationClassContext', + split='ImageSets/SegmentationContext/val.txt', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + data_root=data_root, + img_dir='JPEGImages', + ann_dir='SegmentationClassContext', + split='ImageSets/SegmentationContext/val.txt', + pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py new file mode 100644 index 000000000..ba1d42d0c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py @@ -0,0 +1,57 @@ +# dataset settings +dataset_type = 'PascalVOCDataset' +data_root = 'data/VOCdevkit/VOC2012' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations'), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']), +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75], + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']), + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type=dataset_type, + data_root=data_root, + img_dir='JPEGImages', + ann_dir='SegmentationClass', + split='ImageSets/Segmentation/train.txt', + pipeline=train_pipeline), + val=dict( + type=dataset_type, + data_root=data_root, + img_dir='JPEGImages', + ann_dir='SegmentationClass', + split='ImageSets/Segmentation/val.txt', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + data_root=data_root, + img_dir='JPEGImages', + ann_dir='SegmentationClass', + split='ImageSets/Segmentation/val.txt', + pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py new file mode 100644 index 000000000..3f23b6717 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py @@ -0,0 +1,9 @@ +_base_ = './pascal_voc12.py' +# dataset settings +data = dict( + train=dict( + ann_dir=['SegmentationClass', 'SegmentationClassAug'], + split=[ + 'ImageSets/Segmentation/train.txt', + 'ImageSets/Segmentation/aug.txt' + ])) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py new file mode 100644 index 000000000..3f71b2548 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py @@ -0,0 +1,59 @@ +# dataset settings +dataset_type = 'STAREDataset' +data_root = 'data/STARE' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +img_scale = (605, 700) +crop_size = (128, 128) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations'), + dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict(type='Normalize', **img_norm_cfg), + dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=img_scale, + # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict(type='Normalize', **img_norm_cfg), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] + +data = dict( + samples_per_gpu=4, + workers_per_gpu=4, + train=dict( + type='RepeatDataset', + times=40000, + dataset=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/training', + ann_dir='annotations/training', + pipeline=train_pipeline)), + val=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline), + test=dict( + type=dataset_type, + data_root=data_root, + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py new file mode 100644 index 000000000..7029ce880 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py @@ -0,0 +1,16 @@ +# yapf:disable +log_config = dict( + interval=50, + hooks=[ + dict(type='TextLoggerHook', by_epoch=False), + # dict(type='TensorboardLoggerHook') + ]) +# yapf:enable +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +find_unused_parameters = True + diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py new file mode 100644 index 000000000..adea29aba --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py @@ -0,0 +1,9 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) +optimizer_config = dict() +# learning policy +lr_config = dict(policy='poly', power=0.9, min_lr=1e-5, by_epoch=False) +# runtime settings +runner = dict(type='IterBasedRunner', max_iters=160000) +checkpoint_config = dict(by_epoch=False, interval=16000) +evaluation = dict(interval=16000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py new file mode 100644 index 000000000..25567b7fe --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py @@ -0,0 +1,9 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) +optimizer_config = dict() +# learning policy +lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) +# runtime settings +runner = dict(type='IterBasedRunner', max_iters=20000) +checkpoint_config = dict(by_epoch=False, interval=2000) +evaluation = dict(interval=2000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py new file mode 100644 index 000000000..adc6f9406 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py @@ -0,0 +1,9 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) +optimizer_config = dict() +# learning policy +lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) +# runtime settings +runner = dict(type='IterBasedRunner', max_iters=40000) +checkpoint_config = dict(by_epoch=False, interval=4000) +evaluation = dict(interval=4000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py new file mode 100644 index 000000000..60ed6c5d3 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py @@ -0,0 +1,9 @@ +# optimizer +optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) +optimizer_config = dict() +# learning policy +lr_config = dict(policy='poly', power=0.9, min_lr=1e-6, by_epoch=False) +# runtime settings +runner = dict(type='IterBasedRunner', max_iters=80000) +checkpoint_config = dict(by_epoch=False, interval=8000) +evaluation = dict(interval=8000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py new file mode 100644 index 000000000..9db91213c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py @@ -0,0 +1,23 @@ +_base_ = [ + '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' +] + +model = dict( + type='EncoderDecoder', + pretrained='pretrained/alt_gvt_base.pth', + backbone=dict( + type='alt_gvt_base', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[96, 192, 384, 768], + out_channels=256, + num_outs=4), + decode_head=dict(num_classes=150), + ) + +optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +data = dict( + samples_per_gpu=4) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py new file mode 100644 index 000000000..65b69939d --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py @@ -0,0 +1,21 @@ +_base_ = [ + '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' +] + +model = dict( + type='EncoderDecoder', + pretrained='pretrained/alt_gvt_large.pth', + backbone=dict( + type='alt_gvt_large', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[128, 256, 512, 1024], + out_channels=256, + num_outs=4), + decode_head=dict(num_classes=150), + ) + +optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py new file mode 100644 index 000000000..84848adbb --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py @@ -0,0 +1,21 @@ +_base_ = [ + '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' +] + +model = dict( + type='EncoderDecoder', + pretrained='pretrained/alt_gvt_small.pth', + backbone=dict( + type='alt_gvt_small', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 256, 512], + out_channels=256, + num_outs=4), + decode_head=dict(num_classes=150), + ) + +optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py new file mode 100644 index 000000000..707410892 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py @@ -0,0 +1,23 @@ +_base_ = [ + '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' +] + +model = dict( + type='EncoderDecoder', + pretrained='pretrained/pcpvt_base.pth', + backbone=dict( + type='pcpvt_base_v0', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 320, 512], + out_channels=256, + num_outs=4), + decode_head=dict(num_classes=150), + ) + +optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) + +data = dict(samples_per_gpu=4) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py new file mode 100644 index 000000000..833655a94 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py @@ -0,0 +1,21 @@ +_base_ = [ + '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' +] + +model = dict( + type='EncoderDecoder', + pretrained='pretrained/pcpvt_large.pth', + backbone=dict( + type='pcpvt_large', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 320, 512], + out_channels=256, + num_outs=4), + decode_head=dict(num_classes=150), + ) + +optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py new file mode 100644 index 000000000..b401de0ea --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py @@ -0,0 +1,21 @@ +_base_ = [ + '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' +] + +model = dict( + type='EncoderDecoder', + pretrained='pretrained/pcpvt_small.pth', + backbone=dict( + type='pcpvt_small_v0', + style='pytorch'), + neck=dict( + type='FPN', + in_channels=[64, 128, 320, 512], + out_channels=256, + num_outs=4), + decode_head=dict(num_classes=150), + ) + +optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py new file mode 100644 index 000000000..e6633692c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py @@ -0,0 +1,28 @@ +_base_ = [ + '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' +] +model = dict( + type='EncoderDecoder', + pretrained='pretrained/alt_gvt_base.pth', + backbone=dict( + type='alt_gvt_base', + style='pytorch'), + decode_head=dict(num_classes=150, in_channels=[96, 192, 384, 768]), + auxiliary_head=dict(num_classes=150, in_channels=384) +) + + +optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) + +lr_config = dict(_delete_=True, policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-6, + power=1.0, min_lr=0.0, by_epoch=False) + +# By default, models are trained on 8 GPUs with 2 images per GPU +data = dict(samples_per_gpu=2) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py new file mode 100644 index 000000000..2757e3e0d --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py @@ -0,0 +1,28 @@ +_base_ = [ + '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' +] +model = dict( + type='EncoderDecoder', + pretrained='pretrained/alt_gvt_large.pth', + backbone=dict( + type='alt_gvt_large', + style='pytorch'), + decode_head=dict(num_classes=150, in_channels=[128, 256, 512, 1024]), + auxiliary_head=dict(num_classes=150, in_channels=512) +) + + +optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) + +lr_config = dict(_delete_=True, policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-6, + power=1.0, min_lr=0.0, by_epoch=False) + +# By default, models are trained on 8 GPUs with 2 images per GPU +data = dict(samples_per_gpu=2) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py new file mode 100644 index 000000000..37b18926c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py @@ -0,0 +1,27 @@ +_base_ = [ + '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' +] +model = dict( + type='EncoderDecoder', + pretrained='pretrained/alt_gvt_small.pth', + backbone=dict( + type='alt_gvt_small', + style='pytorch'), + decode_head=dict(num_classes=150, in_channels=[64, 128, 256, 512]), + auxiliary_head=dict(num_classes=150, in_channels=256) +) + + +optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) + +lr_config = dict(_delete_=True, policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-6, + power=1.0, min_lr=0.0, by_epoch=False) + +# By default, models are trained on 8 GPUs with 2 images per GPU +data = dict(samples_per_gpu=2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py new file mode 100644 index 000000000..a91192040 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py @@ -0,0 +1,26 @@ +_base_ = [ + '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' +] +model = dict( + type='EncoderDecoder', + pretrained='pretrained/pcpvt_base.pth', + backbone=dict( + type='pcpvt_base_v0', + drop_path_rate=0.3, + style='pytorch'), + decode_head=dict(num_classes=150, in_channels=[64, 128, 320, 512]), + auxiliary_head=dict(num_classes=150, in_channels=320) +) + +optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) + +lr_config = dict(_delete_=True, policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-6, + power=1.0, min_lr=0.0, by_epoch=False) + +data = dict(samples_per_gpu=2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py new file mode 100644 index 000000000..10d536df8 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py @@ -0,0 +1,26 @@ +_base_ = [ + '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' +] +model = dict( + type='EncoderDecoder', + pretrained='pretrained/pcpvt_large.pth', + backbone=dict( + type='pcpvt_large', + drop_path_rate=0.3, + style='pytorch'), + decode_head=dict(num_classes=150, in_channels=[64, 128, 320, 512]), + auxiliary_head=dict(num_classes=150, in_channels=320) +) + +optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) + +lr_config = dict(_delete_=True, policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-6, + power=1.0, min_lr=0.0, by_epoch=False) + +data = dict(samples_per_gpu=2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py new file mode 100644 index 000000000..c0de890bf --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py @@ -0,0 +1,23 @@ +_base_ = [ + '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', + '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' +] +model = dict( + type='EncoderDecoder', + pretrained='pretrained/pcpvt_small.pth', + backbone=dict( + type='pcpvt_small_v0', + style='pytorch'), + decode_head=dict(num_classes=150, in_channels=[64, 128, 320, 512]), + auxiliary_head=dict(num_classes=150, in_channels=320) +) + +optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, + paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), + 'norm': dict(decay_mult=0.)})) + +lr_config = dict(_delete_=True, policy='poly', + warmup='linear', + warmup_iters=1500, + warmup_ratio=1e-6, + power=1.0, min_lr=0.0, by_epoch=False) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh b/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh new file mode 100644 index 000000000..34fb46541 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash + +CONFIG=$1 +CHECKPOINT=$2 +GPUS=$3 +PORT=${PORT:-29500} +PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ +python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ + $(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4} diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh b/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh new file mode 100644 index 000000000..5b43fffbf --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash + +CONFIG=$1 +GPUS=$2 +PORT=${PORT:-29500} + +PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ +python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ + $(dirname "$0")/train.py $CONFIG --launcher pytorch ${@:3} diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py new file mode 100644 index 000000000..0f07a0d84 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py @@ -0,0 +1,599 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +from functools import partial + +from timm.models.layers import DropPath, to_2tuple, trunc_normal_ +from timm.models.registry import register_model +from timm.models.vision_transformer import _cfg +from mmseg.models.builder import BACKBONES +from mmseg.utils import get_root_logger +from mmcv.runner import load_checkpoint +from timm.models.vision_transformer import Block as TimmBlock +from timm.models.vision_transformer import Attention as TimmAttention + + +class Mlp(nn.Module): + def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + self.fc1 = nn.Linear(in_features, hidden_features) + self.act = act_layer() + self.fc2 = nn.Linear(hidden_features, out_features) + self.drop = nn.Dropout(drop) + + def forward(self, x): + x = self.fc1(x) + x = self.act(x) + x = self.drop(x) + x = self.fc2(x) + x = self.drop(x) + return x + + +class GroupAttention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., ws=1, sr_ratio=1.0): + """ + ws 1 for stand attention + """ + super(GroupAttention, self).__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + # self.q = nn.Linear(dim, dim, bias=qkv_bias) + # self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) + self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + self.ws = ws + + def forward(self, x, H, W): + """ + There are two implementations for this function, zero padding or mask. We don't observe obvious difference for + both. You can choose any one, we recommend forward_padding because it's neat. However, + the masking implementation is more reasonable and accurate. + Args: + x: + H: + W: + + Returns: + + """ + return self.forward_mask(x, H, W) + + def forward_mask(self, x, H, W): + B, N, C = x.shape + x = x.view(B, H, W, C) + pad_l = pad_t = 0 + pad_r = (self.ws - W % self.ws) % self.ws + pad_b = (self.ws - H % self.ws) % self.ws + x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b)) + _, Hp, Wp, _ = x.shape + _h, _w = Hp // self.ws, Wp // self.ws + mask = torch.zeros((1, Hp, Wp), device=x.device) + mask[:, -pad_b:, :].fill_(1) + mask[:, :, -pad_r:].fill_(1) + + x = x.reshape(B, _h, self.ws, _w, self.ws, C).transpose(2, 3) # B, _h, _w, ws, ws, C + mask = mask.reshape(1, _h, self.ws, _w, self.ws).transpose(2, 3).reshape(1, _h*_w, self.ws*self.ws) + attn_mask = mask.unsqueeze(2) - mask.unsqueeze(3) # 1, _h*_w, ws*ws, ws*ws + attn_mask = attn_mask.masked_fill(attn_mask != 0, float(-1000.0)).masked_fill(attn_mask == 0, float(0.0)) + qkv = self.qkv(x).reshape(B, _h * _w, self.ws * self.ws, 3, self.num_heads, + C // self.num_heads).permute(3, 0, 1, 4, 2, 5) # n_h, B, _w*_h, nhead, ws*ws, dim + q, k, v = qkv[0], qkv[1], qkv[2] # B, _h*_w, n_head, ws*ws, dim_head + attn = (q @ k.transpose(-2, -1)) * self.scale # B, _h*_w, n_head, ws*ws, ws*ws + attn = attn + attn_mask.unsqueeze(2) + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) # attn @v -> B, _h*_w, n_head, ws*ws, dim_head + attn = (attn @ v).transpose(2, 3).reshape(B, _h, _w, self.ws, self.ws, C) + x = attn.transpose(2, 3).reshape(B, _h * self.ws, _w * self.ws, C) + if pad_r > 0 or pad_b > 0: + x = x[:, :H, :W, :].contiguous() + x = x.reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + return x + + def forward_padding(self, x, H, W): + B, N, C = x.shape + x = x.view(B, H, W, C) + pad_l = pad_t = 0 + pad_r = (self.ws - W % self.ws) % self.ws + pad_b = (self.ws - H % self.ws) % self.ws + x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b)) + _, Hp, Wp, _ = x.shape + _h, _w = Hp // self.ws, Wp // self.ws + x = x.reshape(B, _h, self.ws, _w, self.ws, C).transpose(2, 3) + qkv = self.qkv(x).reshape(B, _h * _w, self.ws * self.ws, 3, self.num_heads, + C // self.num_heads).permute(3, 0, 1, 4, 2, 5) + q, k, v = qkv[0], qkv[1], qkv[2] + attn = (q @ k.transpose(-2, -1)) * self.scale + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + attn = (attn @ v).transpose(2, 3).reshape(B, _h, _w, self.ws, self.ws, C) + x = attn.transpose(2, 3).reshape(B, _h * self.ws, _w * self.ws, C) + if pad_r > 0 or pad_b > 0: + x = x[:, :H, :W, :].contiguous() + x = x.reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + return x + + +class Attention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1): + super().__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + self.q = nn.Linear(dim, dim, bias=qkv_bias) + self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + + self.sr_ratio = sr_ratio + if sr_ratio > 1: + self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio) + self.norm = nn.LayerNorm(dim) + + def forward(self, x, H, W): + B, N, C = x.shape + q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) + + if self.sr_ratio > 1: + x_ = x.permute(0, 2, 1).reshape(B, C, H, W) + x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1) + x_ = self.norm(x_) + kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + else: + kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + k, v = kv[0], kv[1] + + attn = (q @ k.transpose(-2, -1)) * self.scale + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = (attn @ v).transpose(1, 2).reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + + return x + + +class Block(nn.Module): + + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super().__init__() + self.norm1 = norm_layer(dim) + self.attn = Attention( + dim, + num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, + attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio) + # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here + self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() + self.norm2 = norm_layer(dim) + mlp_hidden_dim = int(dim * mlp_ratio) + self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + + return x + + +class SBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super(SBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + + def forward(self, x, H, W): + return super(SBlock, self).forward(x) + + +class GroupBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1, ws=1): + super(GroupBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + del self.attn + if ws == 1: + self.attn = Attention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, sr_ratio) + else: + self.attn = GroupAttention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, ws) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + return x + + +class PatchEmbed(nn.Module): + """ Image to Patch Embedding + """ + + def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): + super().__init__() + img_size = to_2tuple(img_size) + patch_size = to_2tuple(patch_size) + + self.img_size = img_size + self.patch_size = patch_size + assert img_size[0] % patch_size[0] == 0 and img_size[1] % patch_size[1] == 0, \ + f"img_size {img_size} should be divided by patch_size {patch_size}." + self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1] + self.num_patches = self.H * self.W + self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) + self.norm = nn.LayerNorm(embed_dim) + + def forward(self, x): + B, C, H, W = x.shape + + x = self.proj(x).flatten(2).transpose(1, 2) + x = self.norm(x) + H, W = H // self.patch_size[0], W // self.patch_size[1] + + return x, (H, W) + + +class PyramidVisionTransformer(nn.Module): + def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): + super().__init__() + print('drop_path_rate: --- ', drop_path_rate) + self.num_classes = num_classes + self.depths = depths + + # patch_embed + self.patch_embeds = nn.ModuleList() + self.pos_embeds = nn.ParameterList() + self.pos_drops = nn.ModuleList() + self.blocks = nn.ModuleList() + + for i in range(len(depths)): + if i == 0: + self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) + else: + self.patch_embeds.append(PatchEmbed(img_size // patch_size // 2**(i-1), 2, embed_dims[i-1], embed_dims[i])) + patch_num = self.patch_embeds[-1].num_patches + 1 if i == len(embed_dims) -1 else self.patch_embeds[-1].num_patches + self.pos_embeds.append(nn.Parameter(torch.zeros(1, patch_num, embed_dims[i]))) + self.pos_drops.append(nn.Dropout(p=drop_rate)) + + # transformer encoder + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k]) + for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + + self.norm = norm_layer(embed_dims[-1]) + + # cls_token + self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dims[-1])) + + # classification head + self.head = nn.Linear(embed_dims[-1], num_classes) if num_classes > 0 else nn.Identity() + + # init weights + for pos_emb in self.pos_embeds: + trunc_normal_(pos_emb, std=.02) + self.apply(self._init_weights) + + def reset_drop_path(self, drop_path_rate): + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))] + cur = 0 + for k in range(len(self.depths)): + for i in range(self.depths[k]): + self.blocks[k][i].drop_path.drop_prob = dpr[cur + i] + cur += self.depths[k] + + def _init_weights(self, m): + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + + def init_weights(self, pretrained=None): + if isinstance(pretrained, str): + self.apply(self._init_weights) + logger = get_root_logger() + load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger) + elif pretrained is None: + self.apply(self._init_weights) + else: + raise TypeError('pretrained must be a str or None') + + @torch.jit.ignore + def no_weight_decay(self): + # return {'pos_embed', 'cls_token'} # has pos_embed may be better + return {'cls_token'} + + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes, global_pool=''): + self.num_classes = num_classes + self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() + + def forward_features(self, x): + B = x.shape[0] + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + if i == len(self.depths) - 1: + cls_tokens = self.cls_token.expand(B, -1, -1) + x = torch.cat((cls_tokens, x), dim=1) + x = x + self.pos_embeds[i] + x = self.pos_drops[i](x) + for blk in self.blocks[i]: + x = blk(x, H, W) + if i < len(self.depths) - 1: + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + + x = self.norm(x) + + return x[:, 0] + + def forward(self, x): + x = self.forward_features(x) + x = self.head(x) + + return x + + +class PosCNN(nn.Module): + def __init__(self, in_chans, embed_dim=768, s=1): + super(PosCNN, self).__init__() + self.proj = nn.Sequential(nn.Conv2d(in_chans, embed_dim, 3, s, 1, bias=True, groups=embed_dim)) + self.s = s + + def forward(self, x, H, W): + B, N, C = x.shape + feat_token = x + cnn_feat = feat_token.transpose(1, 2).view(B, C, H, W) + if self.s == 1: + x = self.proj(cnn_feat) + cnn_feat + else: + x = self.proj(cnn_feat) + x = x.flatten(2).transpose(1, 2) + return x + + def no_weight_decay(self): + return ['proj.%d.weight' % i for i in range(4)] + + +class CPVTV2(PyramidVisionTransformer): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block, F4=False, extra_norm=False): + super(CPVTV2, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, mlp_ratios, + qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, norm_layer, depths, + sr_ratios, block_cls) + self.F4 = F4 + self.extra_norm = extra_norm + if self.extra_norm: + self.norm_list = nn.ModuleList() + for dim in embed_dims: + self.norm_list.append(norm_layer(dim)) + del self.pos_embeds + del self.cls_token + self.pos_block = nn.ModuleList( + [PosCNN(embed_dim, embed_dim) for embed_dim in embed_dims] + ) + self.apply(self._init_weights) + + def _init_weights(self, m): + import math + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + elif isinstance(m, nn.Conv2d): + fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels + fan_out //= m.groups + m.weight.data.normal_(0, math.sqrt(2.0 / fan_out)) + if m.bias is not None: + m.bias.data.zero_() + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1.0) + m.bias.data.zero_() + + def no_weight_decay(self): + return set(['cls_token'] + ['pos_block.' + n for n, p in self.pos_block.named_parameters()]) + + def forward_features(self, x): + outputs = list() + + B = x.shape[0] + + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + x = self.pos_drops[i](x) + for j, blk in enumerate(self.blocks[i]): + x = blk(x, H, W) + if j == 0: + x = self.pos_block[i](x, H, W) + if self.extra_norm: + x = self.norm_list[i](x) + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + + outputs.append(x) + + return outputs + + def forward(self, x): + x = self.forward_features(x) + + if self.F4: + x = x[3:4] + + return x + + +class PCPVT(CPVTV2): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=SBlock, F4=False, extra_norm=False): + super(PCPVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls, F4, extra_norm) + + +class ALTGVT(PCPVT): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0.2, norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=GroupBlock, wss=[7, 7, 7], + F4=False, extra_norm=False, strides=(2, 2, 2)): + super(ALTGVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls, F4) + del self.blocks + self.wss = wss + self.extra_norm = extra_norm + self.strides = strides + if self.extra_norm: + self.norm_list = nn.ModuleList() + for dim in embed_dims: + self.norm_list.append(norm_layer(dim)) + # transformer encoder + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + self.blocks = nn.ModuleList() + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k], ws=1 if i % 2 == 1 else wss[k]) for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + + if strides != (2, 2, 2): + del self.patch_embeds + self.patch_embeds = nn.ModuleList() + s = 1 + for i in range(len(depths)): + if i == 0: + self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) + else: + self.patch_embeds.append( + PatchEmbed(img_size // patch_size // s, strides[i-1], embed_dims[i - 1], embed_dims[i])) + s = s * strides[i-1] + + self.apply(self._init_weights) + + def forward_features(self, x): + outputs = list() + + B = x.shape[0] + + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + x = self.pos_drops[i](x) + for j, blk in enumerate(self.blocks[i]): + x = blk(x, H, W) + if j == 0: + x = self.pos_block[i](x, H, W) + if self.extra_norm: + x = self.norm_list[i](x) + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + outputs.append(x) + + return outputs + + +def _conv_filter(state_dict, patch_size=16): + """ convert patch embedding weight from manual patchify + linear proj to conv""" + out_dict = {} + for k, v in state_dict.items(): + if 'patch_embed.proj.weight' in k: + v = v.reshape((v.shape[0], 3, patch_size, patch_size)) + out_dict[k] = v + + return out_dict + + +@BACKBONES.register_module() +class pcpvt_small_v0(CPVTV2): + def __init__(self, **kwargs): + super(pcpvt_small_v0, self).__init__( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], + qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], + drop_rate=0.0, drop_path_rate=0.2) + + +@BACKBONES.register_module() +class pcpvt_base_v0(CPVTV2): + def __init__(self, **kwargs): + super(pcpvt_base_v0, self).__init__( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], + qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 18, 3], sr_ratios=[8, 4, 2, 1], + drop_rate=0.0, drop_path_rate=0.2) + + +@BACKBONES.register_module() +class pcpvt_large(CPVTV2): + def __init__(self, **kwargs): + super(pcpvt_large, self).__init__( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 8, 27, 3], sr_ratios=[8, 4, 2, 1], + drop_rate=0.0, drop_path_rate=0.2) + + +@BACKBONES.register_module() +class alt_gvt_small(ALTGVT): + def __init__(self, **kwargs): + super(alt_gvt_small, self).__init__( + patch_size=4, embed_dims=[64, 128, 256, 512], num_heads=[2, 4, 8, 16], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 10, 4], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + extra_norm=True, drop_path_rate=0.2, + ) + + +@BACKBONES.register_module() +class alt_gvt_base(ALTGVT): + def __init__(self, **kwargs): + super(alt_gvt_base, self).__init__( + patch_size=4, embed_dims=[96, 192, 384, 768], num_heads=[3, 6, 12, 24], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + extra_norm=True, drop_path_rate=0.2, + ) + + +@BACKBONES.register_module() +class alt_gvt_large(ALTGVT): + def __init__(self, **kwargs): + super(alt_gvt_large, self).__init__( + patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + extra_norm=True, drop_path_rate=0.3, + ) + diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py new file mode 100644 index 000000000..13f2fb8af --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py @@ -0,0 +1,154 @@ +import argparse +import os + +import mmcv +import torch +from mmcv.parallel import MMDataParallel, MMDistributedDataParallel +from mmcv.runner import get_dist_info, init_dist, load_checkpoint +from mmcv.utils import DictAction +from mmseg.apis import multi_gpu_test, single_gpu_test +from mmseg.datasets import build_dataloader, build_dataset +from mmseg.models import build_segmentor + +import gvt + + +def parse_args(): + parser = argparse.ArgumentParser( + description='mmseg test (and eval) a model') + parser.add_argument('config', help='test config file path') + parser.add_argument('checkpoint', help='checkpoint file') + parser.add_argument( + '--aug-test', action='store_true', help='Use Flip and Multi scale aug') + parser.add_argument('--out', help='output result file in pickle format') + parser.add_argument( + '--format-only', + action='store_true', + help='Format the output results without perform evaluation. It is' + 'useful when you want to format the result to a specific format and ' + 'submit it to the test server') + parser.add_argument( + '--eval', + type=str, + nargs='+', + help='evaluation metrics, which depends on the dataset, e.g., "mIoU"' + ' for generic datasets, and "cityscapes" for Cityscapes') + parser.add_argument('--show', action='store_true', help='show results') + parser.add_argument( + '--show-dir', help='directory where painted images will be saved') + parser.add_argument( + '--gpu-collect', + action='store_true', + help='whether to use gpu to collect results.') + parser.add_argument( + '--tmpdir', + help='tmp directory used for collecting results from multiple ' + 'workers, available when gpu_collect is not specified') + parser.add_argument( + '--options', nargs='+', action=DictAction, help='custom options') + parser.add_argument( + '--eval-options', + nargs='+', + action=DictAction, + help='custom options for evaluation') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument( + '--opacity', + type=float, + default=0.5, + help='Opacity of painted segmentation map. In (0, 1] range.') + parser.add_argument('--local_rank', type=int, default=0) + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + return args + + +def main(): + args = parse_args() + + assert args.out or args.eval or args.format_only or args.show \ + or args.show_dir, \ + ('Please specify at least one operation (save/eval/format/show the ' + 'results / save the results) with the argument "--out", "--eval"' + ', "--format-only", "--show" or "--show-dir"') + + if args.eval and args.format_only: + raise ValueError('--eval and --format_only cannot be both specified') + + if args.out is not None and not args.out.endswith(('.pkl', '.pickle')): + raise ValueError('The output file must be a pkl file.') + + cfg = mmcv.Config.fromfile(args.config) + if args.options is not None: + cfg.merge_from_dict(args.options) + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + if args.aug_test: + # hard code index + cfg.data.test.pipeline[1].img_ratios = [ + 0.5, 0.75, 1.0, 1.25, 1.5, 1.75 + ] + cfg.data.test.pipeline[1].flip = True + cfg.model.pretrained = None + cfg.data.test.test_mode = True + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + + # build the dataloader + # TODO: support multiple images per gpu (only minor changes are needed) + dataset = build_dataset(cfg.data.test) + data_loader = build_dataloader( + dataset, + samples_per_gpu=1, + workers_per_gpu=cfg.data.workers_per_gpu, + dist=distributed, + shuffle=False) + + # build the model and load checkpoint + cfg.model.train_cfg = None + model = build_segmentor(cfg.model, test_cfg=cfg.get('test_cfg')) + checkpoint = load_checkpoint(model, args.checkpoint, map_location='cpu') + model.CLASSES = checkpoint['meta']['CLASSES'] + model.PALETTE = checkpoint['meta']['PALETTE'] + + efficient_test = False + if args.eval_options is not None: + efficient_test = args.eval_options.get('efficient_test', False) + + if not distributed: + model = MMDataParallel(model, device_ids=[0]) + outputs = single_gpu_test(model, data_loader, args.show, args.show_dir, + efficient_test, args.opacity) + else: + model = MMDistributedDataParallel( + model.cuda(), + device_ids=[torch.cuda.current_device()], + broadcast_buffers=False) + outputs = multi_gpu_test(model, data_loader, args.tmpdir, + args.gpu_collect, efficient_test) + + rank, _ = get_dist_info() + if rank == 0: + if args.out: + print(f'\nwriting results to {args.out}') + mmcv.dump(outputs, args.out) + kwargs = {} if args.eval_options is None else args.eval_options + if args.format_only: + dataset.format_results(outputs, **kwargs) + if args.eval: + dataset.evaluate(outputs, args.eval, **kwargs) + + +if __name__ == '__main__': + main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py new file mode 100644 index 000000000..2771d1b37 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py @@ -0,0 +1,163 @@ +import argparse +import copy +import os +import os.path as osp +import time +import mmcv +import torch +from mmcv.runner import init_dist +from mmcv.utils import Config, DictAction, get_git_hash +from mmseg import __version__ +from mmseg.apis import set_random_seed, train_segmentor +from mmseg.datasets import build_dataset +from mmseg.models import build_segmentor +from mmseg.utils import collect_env, get_root_logger + +import gvt + + +def parse_args(): + parser = argparse.ArgumentParser(description='Train a segmentor') + parser.add_argument('config', help='train config file path') + parser.add_argument('--work-dir', help='the dir to save logs and models') + parser.add_argument( + '--load-from', help='the checkpoint file to load weights from') + parser.add_argument( + '--resume-from', help='the checkpoint file to resume from') + parser.add_argument( + '--no-validate', + action='store_true', + help='whether not to evaluate the checkpoint during training') + group_gpus = parser.add_mutually_exclusive_group() + group_gpus.add_argument( + '--gpus', + type=int, + help='number of gpus to use ' + '(only applicable to non-distributed training)') + group_gpus.add_argument( + '--gpu-ids', + type=int, + nargs='+', + help='ids of gpus to use ' + '(only applicable to non-distributed training)') + parser.add_argument('--seed', type=int, default=None, help='random seed') + parser.add_argument( + '--deterministic', + action='store_true', + help='whether to set deterministic options for CUDNN backend.') + parser.add_argument( + '--options', nargs='+', action=DictAction, help='custom options') + parser.add_argument( + '--launcher', + choices=['none', 'pytorch', 'slurm', 'mpi'], + default='none', + help='job launcher') + parser.add_argument('--local_rank', type=int, default=0) + args = parser.parse_args() + if 'LOCAL_RANK' not in os.environ: + os.environ['LOCAL_RANK'] = str(args.local_rank) + + return args + + +def main(): + args = parse_args() + + cfg = Config.fromfile(args.config) + if args.options is not None: + cfg.merge_from_dict(args.options) + # set cudnn_benchmark + if cfg.get('cudnn_benchmark', False): + torch.backends.cudnn.benchmark = True + + # work_dir is determined in this priority: CLI > segment in file > filename + if args.work_dir is not None: + # update configs according to CLI args if args.work_dir is not None + cfg.work_dir = args.work_dir + elif cfg.get('work_dir', None) is None: + # use config filename as default work_dir if cfg.work_dir is None + cfg.work_dir = osp.join('./work_dirs', + osp.splitext(osp.basename(args.config))[0]) + if args.load_from is not None: + cfg.load_from = args.load_from + if args.resume_from is not None: + cfg.resume_from = args.resume_from + if args.gpu_ids is not None: + cfg.gpu_ids = args.gpu_ids + else: + cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) + + # init distributed env first, since logger depends on the dist info. + if args.launcher == 'none': + distributed = False + else: + distributed = True + init_dist(args.launcher, **cfg.dist_params) + + # create work_dir + mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) + # dump config + cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) + # init the logger before other steps + timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) + log_file = osp.join(cfg.work_dir, f'{timestamp}.log') + logger = get_root_logger(log_file=log_file, log_level=cfg.log_level) + + # init the meta dict to record some important information such as + # environment info and seed, which will be logged + meta = dict() + # log env info + env_info_dict = collect_env() + env_info = '\n'.join([f'{k}: {v}' for k, v in env_info_dict.items()]) + dash_line = '-' * 60 + '\n' + logger.info('Environment info:\n' + dash_line + env_info + '\n' + + dash_line) + meta['env_info'] = env_info + + # log some basic info + logger.info(f'Distributed training: {distributed}') + logger.info(f'Config:\n{cfg.pretty_text}') + + # set random seeds + if args.seed is not None: + logger.info(f'Set random seed to {args.seed}, deterministic: ' + f'{args.deterministic}') + set_random_seed(args.seed, deterministic=args.deterministic) + cfg.seed = args.seed + meta['seed'] = args.seed + meta['exp_name'] = osp.basename(args.config) + + model = build_segmentor( + cfg.model, + train_cfg=cfg.get('train_cfg'), + test_cfg=cfg.get('test_cfg')) + + logger.info(model) + + datasets = [build_dataset(cfg.data.train)] + if len(cfg.workflow) == 2: + val_dataset = copy.deepcopy(cfg.data.val) + val_dataset.pipeline = cfg.data.train.pipeline + datasets.append(build_dataset(val_dataset)) + if cfg.checkpoint_config is not None: + # save mmseg version, config file content and class names in + # checkpoints as meta data + cfg.checkpoint_config.meta = dict( + mmseg_version=f'{__version__}+{get_git_hash()[:7]}', + config=cfg.pretty_text, + CLASSES=datasets[0].CLASSES, + PALETTE=datasets[0].PALETTE) + # add an attribute for visualization convenience + model.CLASSES = datasets[0].CLASSES + train_segmentor( + model, + datasets, + cfg, + distributed=distributed, + validate=(not args.no_validate), + timestamp=timestamp, + meta=meta) + + +if __name__ == '__main__': + main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/twins_svt_s.png b/PyTorch/build-in/Classification/Twins/Twins/twins_svt_s.png new file mode 100644 index 0000000000000000000000000000000000000000..2f92940c5841caeef6c5384d56bae165dd4222d6 GIT binary patch literal 400291 zcmeFYWl$X3_6Lf)li(UOxVr{-0>Og21P!i(1a}A?+(K}73-0bRxVt;AbI!T+y>FJrh_gd>GYlkW;N}(bVAVEMtpvp*#t3W^?0q0O=2ynnV!5lKI5D+NF zmSSScGGbz6%3tlwEUir;Af!VRG~jjOr3l+yP2wt`Fk>)puuQQ0c4TZV$rV~80*h9C?2(0UyKm4Xyb&K1)IL7tKO zd%>zjC6Il_Z8uB7NC0<(8ls;=NIwJB*M)Gp8VPnGM(UBZyG$ip9LYBdvfB@eRUg6O zU3c!qWns}7R0wfaE6Rpd$U=&~z1eG|uw!!O*ceIgK?__U5#7iBi@WNVvB@X9fiYFI z`-*@_>O`sD;)`I;mIQuA*+5H-TWNM_&Fy>(yU{J}>|OC062#&|5ke@gqBw~W zEzQd6L5rJB%ORi6Kg$$HZF$jiGKBPDgVWK|)ZKx=^9RFVxbl7}8P~@*)D}A%#>i_M zpDs5is{9+ooqxDVqJeaN@R77&h(j|Wz%pcgW5kw+<`tP-otlRRPgAV>qHmEAhWLg{ zvU5is% zJ7UBa2qG8|Zb3FEajz)qeJR=$QK*s3CE76EN72IS3d!!4HsYDUljNpg-bRr0e06np zg%-J1`1q>OYJ}!PkFj&#?$mP&fgnwchsX1f#6)m1B{sIkb$Tynt`86K%mZQG{+4z- z(2BUs17oe-4{iBlZwHYkG<<_-I&ILT zGW0Y`tyo`{_4feD?9e?E4#M;(ob2%NZ421XfhVGbw}Kk5Bs zgyz8IfbYQWKw23%FX|x=|v~HfO31b!PLOPM6 zB8A*Q&(_zkjQ2eENcZm>GjrrB^Y1M#WN2*8CgRGp~knE7g7ym@@FMjHQvp%KOpV4bpr>-m&IhYvJ3-TBXj|*zYZKw1m z_MP}WSOg>WMD!KQvomwRh3!*j7SXdimdLfcUo@<^E%YaRvc)DUXV&-RC*DuKpX2@M zC{rkvl=G!|sk~mkT>bRND!X@FTe?qjn=&Z&1?^e& zAsP>_E49-U0T0aL!luaHgc1UG11Atb6u=hH3U>_G8uSp95i}6Qj!KUjjqk$7T0k7% zH*8#HKw_|J;Dcw#<k!W{&zxI=L+-gC z_Hy@tiT?mfJR^0Xf`=qQ#1-j#JT1P9j(&alkE%3NZc_^d{PN7HHz_G;63GL@T*>Kd zhpgtQ@M*ir<($H{t2Uh#2sJU9CAB<;=Y&HsJ%-zrbec9LdUC2m(sKFRE<-LuKJ=c& zl*LBH-s-m{MYGn242QL|rL(PEI9!`HJM+^EPeyW;rb}Tqb4wYO-e1h^l8ox-%O*}z zT4M#r+WOl@U&^3Y$ombO#1gtVrE(~iSmzw7H%)1#2Zm&hKJ7aV;5*;AB=Xp~oZv~| zZS%|W{j!=?z)eN&%OB4l-R`v5+1s1w$t9F($1`T9wi*7#YToPRa{YD0ab@45PXTQ6 zL%UMDdMWcn@dWBt_Vx>jQ?z~bJ&6JdvtYWQM25D2ojYqwuP5V;)%C;H@h0PK+3m?q z<@vzb!j@yaO-Gb5vvKA%)m_lt=&j(v?QnDm9|rSYZqWvq8G`fcP2@6AVF zH3(q?PZ4u6dKLu zVTA=seoG9h3*HZ=3ba9KCbfN=L9B#fBi#k{SOm@5%$Y~ueMB06 z8Dkhu0!A(CfnkkmjX;yT0H4qD9p~n0?|iScF@dot1G9_5Q7g}5!@h&CBAH@HnlkUY zOpEr@k2`k6h;K!RwTO0DVptlKt1@4uRj6yJ4=D?2<|x}05EZo2CwU!)yBo2Y^HTF< zRnjJ7>u&JW^f$?NSD4C_H^ROp@Q;4$dXAK}1;sE22m!J3qgdL$CZv{E-~6HzkZ-by#bMaCuZ z#`0=AuI}{ioQx9p%MC0gDUFWx3%{F5+L2uZ^j>BM;o0^d!O#^kT_M6U!8#yi0ds(n8}#D!q@k8 z^fxd1&et8=%;4dnA9H+QkC&W#UF3H-pP2KQhIQ{8E5Do{Y|Mf4yrx?Ettb2?qT3?x z>dM5M#r3{AR=#eO%AHZgQ60+(CfaH~G=9?bXdA9AX*t?t>#Vv2H+pNFuXJ3LY#-CN zXjp5>=)Bi;H&z?}bui;m9Ih_>ncYXB>+|g5WNrDJg05@Xa<$i?$AQQ8!)VxESOF>* zp}Or|!^f6$4^!#wHid$;L|cz$t%m!-#5Kli?UA}fo97CJs^i(4kYiLe7qxBv5Pl?A zfrXTo%i-Ij(=RS5M|4Zqmi11q=FVQu+L1~M3Z<6EVSF`;T63*5-ecRX*`8?!x(D^A z#wYYk=r{DYuQy`7=-g=H#1?}6LYkodoAH9Kh^~B8>8_HXRY?b9b5$$VzE}sT&uPzT z=&w8veJfIo(ds1Z0(Bca*LOLa&@^F+SGE10JrvC{y{7qUuSbhQ3(IO1EWQX6J3kyL ztqZ5~b@4iGSa&Ss?mmqY^NtCD-8vsXbV-zl2ZL@N?(LghJ-etfdpBgfiT=EAs6N?s9I23&$->%%JyA`LCn?&EJ~yZ=FsPz}&6+ z*TtLVk9@8C(Siux_UDGbyZEDFqBDfm1zzTB_Yj|D?p4DJImebWiI34v+n$#4z)cxL z8Mn9JpUQ3@3vkhx(Vj7%`g&GFTXmVYnc-h_ZU*mWPUbSowI4SgPTB`RQ?GSb>F3P{ zw@0_;LU~?pi^7`}`^G&qeM%#lxk6y#ep0-c^X;e3TnISA)CAa$%;t4o^0yGZrfxpT zd2N@dNI7kVXz$K4D<1TCXjdVoyA+*ucIzN2NV%F}V+h-dqYgqlA+FExYzaP^xHl9x zTAcNYxpA|c4WdA(utQ{SK|?>M!NUo4^3%Bx`X=rlG#AK*oY__=IM2b>&&lgSv|(Kf zUWF62pZL*1DV;gLGT%ytj^bu=dIPM(+Ei10 ze^kbRWZ(HgVb)C(l8hnx5wnZkdncIJmr?=~5y?n|l2+Qj?Lk9nY;<_^Ws`yb&1(5`JKA1gCC?jIAFs}>nas5ZOUsFr@_R4r1Wa_o3{OyfUk=wi@qy2?~91&O=Qm1r50cwc>- zD%N0DEmR~{ZS&$)t+&-R1y`BMIbKajrQzzit&@Jl#fkghewHr`k)Oc1%4Q?9t<3+Y ztk)4i;=Q7h2+YfSndPwJYg@Rhh$x}X^@fQqVM>uSZX@XofAv}OgCBmYp=0RtwBHAH zPx^lOwDnex^Bsd3o+k1C7IJ<@(!M0H;p<|i3I8oFFYYj0*7F96dyf7Dh&x5GWGGOP zo$c-}bHa5v--^{s*>0mrN_RJ2Tb?e43Ur%Y3M9gD3V^X_avSu zgmGLKww$D#YIe2j;^qDrCGhTlE8g>bh~F3a!h2NyUy#yKC$UzyWXoROc475v(uipO z`mC%8#-S?+bwo+{*`z=r&5Xo-3zHr6BEYK5ZuZ>dTy&S+TBKT-`d+nQo;_|fMe0V zO|mmcU(T`F7tPHL_NumIB7u&FYFQ3tOgq0K#j7Qk2(pHuQ!n}XL^y3{5QIi-<#Byr zDw`n7nZVq3XT)y!`x^(dzj1FwcD4amMa%yPY%0_+`s4kKqloO@M*9c;7e&vjBbI1Y z_kJo<(Gq|u(|~R#KAdAm-eG2;lKnnUOUb?JmfN@yM(^(_e7}V~)#m-Umdw8ovon@i zP6A~}rkVXA@CxB2MHCu7bpl<$0F`xHCx0+uIBc8V#N9&ElS-N@(3N&_q&-OF4Mv9tTRB2Qr8-B{u$XU3t%F*ldLF1rq^IAY}1zKKo=%!ion*H2 z<&siyHWVt=iq$0rA*pxt8sarq@jLH?u9o4*o@hc|k{N22&oG{;L@6#v1U z+EkDSR@x_(CA!VCPY;LXX3fWS?7+9JeuXt0{hL2CCS*U{rdD?-Pzdm zzso5ssw0j{4y6~0fWyMzmqxjs6Cyhm7A+jixIX)rSzI6%R^+z_6T(F!HDR%&G3R-> zIg1_}rT*L;3CR?jgMWPz)^O*7{)pg7V7+zxCZ71mu z4?HX3P$YU3D5moj9G}?CSXf-{3{C@C3P~(WGLis`ILMo8IGL4#lbT$B|7QO&3*X^xfhH`D_m*u%EU)+EVVD4ke~6*|o2%rL}gU@h3y0@pN46 zPxYY)9e-M>`vO)(ZDnrSdsqE+d$7OtJiz^OCnYypXz>#kbQf3iG4;?LiSfhDv2hd8 ztOP$X-Jn4r{g=S7DrQiy%RZKpWHjh$U&?XWp;ckz_)BVfUe`tlMHCA(914r)X>C%` z=h|O*C|um=!cX=at!bMkD^1SNCf?ZVErBUdaMC7OnkQACz#{7)>^-lfM1T9#r*WH!h(V=k-i=8k*W!KpyK z@?hT{HTgTEhq3zsStxna^Hx2b1pDCNNLj<#>`1H*?7o|R6#Sf~?+b6j=^sVRpK3Oe zy5Bv7M$Dh=DYg8_o#empPYM+I4)Fu$$JfF4i>}daCtNm5co9klSb|qG*N1abc59f3 z*2XYGFL%a{7XvhD57&ojis`qk%&k|GT#~*sD>w-D`|CFA@2jII&$zLD&%tY*0VCa^ z*i&DFI>YXwCqb1(Iz?6PTd}M=KXaqx!-ufb6b+8%D|eP1$58p8h+n}z+6C!>X&KO} zf0z^<)Y8oS=u^{?M(xoMHgY>;AqvYa7zA2#D9`d56}XglJZ+s^KLQzTp0Ave>Kk_B z3){93I8v-m7iFd~v9X}$3h0Qv%;ILtDJuPH7RysL59Zr(Y%EkS{d{hHwS*2W=7x;| zzl{6xl8eXWe8g!tyXliHTG-h4hMYmkq-q#<*Fem%=Rk$M>Bm~vjETuXh&fOb5ipMa5GBmDqzu{XjEp7v35 z2r7PVcQ5!>l6;wTqfl5dGnC;aS*yfTARAbGumu*pMVS-YKI1&mhGH=iKCYP>4!R~B zj=FZ4o(aWa{!D2dm;ruW{fM%p4|=|Sr#%pS#2wi&Um2akJ|;l1dkcP6cWQnAY&eix zOJhTz@`Jvt;dci)j93_i`j*GjdEZC~CWVt)@pOU!P(HAC@U$$${9wYcAwAwOC@RG} zllztWb_Agk4kOb1Fo4e(FLN^et!TgY`NI7m;lK}Gs#&x1CP71w^?0#%DxYe?4{B}> zr4c(>7}VyG%d_8&T^ef;A)H8N2&|L&CIkbsM!0+ToGEBoew336Yfq-^0VW0iN40WS z?jE04p7bP*-yF8f^F1t^y@FKc8TW?g=)dIQ z5byZGpx0J>+G@*w9w zW9#C(!-_tsZ@;QJd(FhdxH_Cug16cD=q~?H?vL_~KOSosSVVjPjg!+q-2PH4cKVRh zEZpK;)e69<@5hELgpD8|N2fU-c1w?6N8LS>9>uRnXSD!wQI;lFM^!z&1Xt;su|s-| zL2y`tSx?wDpKXIx{*NRzn@B=W#E$o!9e&U=#%tr+ zL8(9*9?cSdjgwPTo;HC>*nB#WERo??jpjrZfh>0Fc;PI#$E*@RG&e{@uIse!$ z`ryeT)Na`2;oU~aHNRPVIBVtgjl8htJ_M0PXBoce9X;cj|fEc zaOgiuQ*dEFUrdL(IK+_p3%Iy^5$pbVuq>F=mW1@R!TogQc9_y~xFg)3;M<+Q^U7zZ zRB`CUp=3HxwK>R=S}DW2?eV4A0)~VNOT^f8zQVBT+kDxMnmZax=7gb8iSWVVeW>dN zC1OlRBDHURz|cUIBf?@m^J@gD@aj?35R=*7c=jTGTxo>ZD2Wjcvz|5107}Q@s37yj zBj}}ZcjWf#s_v^yMEUK!akTPR7a!^iDf62e%c<^gF#68(Ets3s>&)*2Y~O`i^kUO^ znH@~Rwl|CzJjB#I%i{xmQQb|s?kgvi<3%tn9g$1N}{ z(PX&&cE0@b@I$6fi-rB;UpU@xL}YDN+m16iCZTF-j9nM~)T%f9>D#bW-zDdqj`0N{ z7s}SD2l1LBGs+d`)5y!$I(OWMR1_8#6KWREnaY&hA_Y6h*;f+7s77uUh&p=RG~aJs0~8C=w<=tqLw&R0)I=sJ^o>TUi$iA zX4^IQ^^m8>vM|HUC&|@k=CnNxyh0kaZ8vhjX(fWN%XV^~3&($h zJ+FVijp|=OHzZi5@hc4w0f6U7Me_+8m2Ce7k_zSRbHLZH`}s*JaHs@7aoerg-vL1F zi_5$rJoGkZroyA(4N432MoY6^wb_VtK0KO0&oWa`nB%UO@d<#grkb1&`>!YS<iqC?fnHUBit)6=vdLIw0;Z1qNQd zp%D0~@(16i}L&*0*nX;mdoO(VQrrp7HSLH*KH zr#pCZW>XW4ADd|Zu=qR#`Q)=aK@3(Dca()F8Mju?+o-`CyWP~jPj&SijH%pmR51P&clS|J*ccIz`IDcQ@ciCxh+;r`?B&VCf1)`a z&kndzsJEJt?L(*6DBEaC<784#>EwK>wVdj`N^H}T?*IXrb33iMy4NrGLl7hV0NUI0H)WJc0nJrQ)$-|BtAn>{N^&g@Qo^rl>$NX{kiX<;R15G3JNUt-Br9&fHY_Q(r84J-S_*w z+-P}ER-8Xrcm4qp1yC1St|r6H`0*a@JAIG^tG({O?q9V}WU+7k;o6!;v|psJKS)KK z#hr9A{JtFJA3LhpM3YGha1`{sxw^I409G$@SvEV-Dm13@PHq®opc_+I95ey(UM z{sXD|bp>`)lrElplXCV4SmGo5zH>%6kt4QlE>Sm;Wg|7fc$AVh26ax0XNP@19;khHGL4pJ-V zuh3nhcwdY*);?%?aK^6^v;{wE2Z^XT^k&&`y}HKkbH{#ano<&8G4Kk~NI~`Zi4<)pBhCWo)8LTIH~;|v+h7As~Mz5f!k9ipz`}U_g3j>jzY^>)B*IDa5<1swcvMRlBt+nBCRDH z8o^IEi32tHcVBi%-q6yjRXL!r=XYHKA*3DEK^{zGWj1sRCpRA1;QCGLayM1l(4fKv zsDCNkCcI63Ci^Q5t{tCD9yz%*Jz7Gb%rXL@+bWsX(sn#r&Y#QZhIUPn4!KL}Td}YV zS045*E@LRb(!nrLZLjHk&MHbF9`Dvkos2rpFw*gU?gRAtQ;r* z7#%hGvno4a@cx6>>&PJScEoy{lwE^=1K@3L-{gBINN?^|ZX7Q3OXCTX2_$ooAYcrZlq^`c}p0a00n{nLmM+cIN zmHZTiy4R=6u_lx)fX_RvEnIimhFMGLGi(WL(U?@lAFnrUzgwC>=T}QC=w|y$x8%As z@`={Olj4VY-LqZWy=2Sh70X;{c!?x2bWVWFBID(hcb^X@qLu$4jU9C#AbMq=AFr7! znrtnQi3b-vnpjg>#QM;hP`>zu+KOS4jhTS@+|?CrMEjK1p*~Xx8pPjpbHd!)7pAOU;6lfJ3W=c_~$b{a}79Y zsqDL^G^$n__52uwyj{Z$BZo_USU1IEk@gP?hr{f5H@fn7jHglJdIivVK+Qx&=hp;4 zOr7>3UuBDHvB`$E?2jRD@}hyus|vio+)cY=<^juln5q2Aemf|9tk>vrCJLXXq3_Lk zj0M*(f_VLo+UUK5n=Ub@)pxB%E7P-QF%m#r4CCENHoj_(Tb?+2BVNy_ zGf+{(g0guQtO)W_U5Di&`YlUqW|Np`ck~%-zvj3fqJ+fK@bXYxZV3A`^S7?4R+oM9 z?XiIFEZ*)}XZRmU;= z>U1|-Qy{_oIs8CSklcR#1K|Csg2OeCVZ_=vmyG*d!e_BWIo~JLD^5?@SJcBViW;6y zN4aJ@5h;E?rfJaXuk;kh2z&AxIt~&Q%W|}h{Y;DS<1-oQSJpYJxS>ZH4{HIA6Ei-c z%b#;h5T|NnR2|nPaBZu~aAbJ8AQyElUK_>@3gK*%wEy}MkXRuYKlKD#bXv{Lq=gw! zAd#q+>~I%+vM+y-%Id*5?JA~Iupw$xmTb1aTr)>DSTC?$j*FqEup0MshKrD9`nNIDJWRxgy&DGV_NGJkpoXM}G?Kyr7DD2n?XXyQTj6*cxk2&=^+Fwh6a~BhBJzYS*L;JCxclK30*aZO#n9!@litx8|_qS z{i@X;h?uUBy7d-=Tj2-K1R!`xnU`6;L%c7%_Lb>mk>e!M13f!CZiLdLlKR|{J0r@X z()m9~@8Sx0{qVXN*a5zSjY2AFc%gwUA!}ubV~J+QUR;0*uRWpfPtGNW!~=IqqYc4l z8xz9?5WXy8JVl(3H0)-0)<6rWo+GnwB9b5ily_F%%Oj^#-i@=t1uQ%Q0bdn=hVN(I zuHJm|OV17C+VVcC?fGWO4D5Z|V~Anfunu?rP_G#s`w76H0bk}*E=PX!pC6T*rG@vz zESllJm#5UbgBaq#RqM!tM&Y{lj1cC8#dcGbVsOg z7WtmXGU9YTY$HmjLi=MY2@Ei3VNK3ph;E3zK7HxZ-;vw1f-WiJGU`USRwq@=rM)#A z&*~flB~drOF};uv{|l66;bB_LS7djJL(HK!_nro~zP>y<9t6XNxg+mLgx+1yEWZ-W zzT)<)d}Dd@1SI8JQm!LsQpBF^(?#bm-U~vCr!p5vA&({2r}Xr6{j%(J4hGc;7vCiXTB&E@grsiU&DD*_I_>1tzquAty*Bjx&W8qVBiq35yRv-aiz zGnK>ADB4DqQs;_{#PyG^YoJZ#%UWzsEfnv0?R}3yd??#aY#axmh_hee2ACckZz4AC z`$*qjrG;ozG`d-t^($so$X6Hk7E@L@16>hov-dihbXa$NSODb>a0g`ZT2i>ELlUnu zQLSG_k@#FkW!+Toe!pEY#YORNuuVIAyO4xa;!GD+P{LqJrFZ8)io?t9v&?fjHJ1F= z7+R%Bw?1mXF1b7s%v+_?GnsGH@pHh_sHR?1KuyQ;q#g9VnQGpsu?P|xE-wORTlU%G z+SzglP$JV@!JcDJVN_h0;wb}{h1gkb_xJZV0FeZ}KI%`kN}+Gc(0n&za;RvLc)U3_ z(HcG231>D-X#@{qr5$XKu^aaZ6$J6Jm@o_)m>0|LT(p1I#xdRaGlK@z*dn{H0PXq` zCG=pSTL-5HwS2qFdT(oxC5&~ZJ!jB*(wJ+#ggMFUGpl7@;JF>@4Z6+^`^Ex=ft;l8 z)5!bqGxsV!=yX(cqtSf4!>?dd&of21yXy#Mhcj zm!_|sj@BRDv48M777)Oc=`;7H5C}|JW-9Ig@IL%|3jE(yp7KnIY`k()FQ>S5tC+<7 zSFxc?d-DmMriR$_ns;BVu>Dan%Y3a>(A(3OSk_2F?%6M!;u?=y&YXmhw=+e$8cu~l z9>j9UOwJDpKeSrhVm;n|%N7$5(IDhGdvjRYH&*WBt*^0EvD$Kb;`!^g=bBX9X4+y` z`s?_NM@SjYjW{|ppyJoE1KtR>?lCgEYZ-t_O!{Aq`=VADno{Yf={HhHNFq4zjx+rx zqm2GjWaMFLNN*C7)D%StjPnzOO$OEsc?WN(BfZ7Al0>vpYHeFX$M%FYfnjNaxx#G3iV^k!bU0UTzIa+0jCW+m zaw;Qy#5}1eJ^6Zhd8s?#OnBAx;9c9_?iCpJZpoE<=2y6N=5>DmjonrW*?yw)szzVw%E|5m{O4ZGeCfb{b4Uha!zs6 ze$D(M=wE5g%OsS%)ZF3G_H__+S}ddyvO$}F6=65(ZY3aYIz3zOnz8JEH{s3ivS)$D zf5bAQK(F@eJL>>oB8&?F9unO1jJ@n+gN$)X4S2A|W=Wj}1}$DKv|^Irp%+uxrFe{B z#>VD1&ISN9t$T+KOl(UqR$V*+7jF%LjAZTnR@9JHjT+J5LbwIfXyX<5*+l}2HI~@z zRL6MF&ujNv@k*)QHw#jYYrGvrL)9BHc+V*3yS^@Py-9u1q~@vIUko!m9^Nb98rMi4 zMskB$ri3!h=mrKInvny5jKjlb7ST`3-&+j!x@2VcUgVf^xveXZOJW-2({v^;ttr9= zJc78dKln_4b%secz&lH2LONXo5IFx`@Qsc)jeN2JpL61^;-YX}TYZX5e2K%+IiL$G z0Aaqov+n(@*X4 zjKpbKZgq(Xw!NMy8gOktsUv#Lc|GjYm<@h^|3I?N{q1(Qq)!;G2{KV6>HG+kj6-)F{Tho(nha=){T~3sASl;qyjV>!&)8Q;;}ZO;OJKPAM?{*s z8lsHUS768bh-NZtscgH&j4GtW=jCtF{?asjxL8}9nOIuLk;)N;!UlVu*LlGCWs##F zo8gb`VF$=tqC`j1=HE3MRr1L)IC=%Om?*K#Rnha#(|^T(7ZV7zwu)=X1o9;^CPp+U z_B5I{FM}2>c5=;gx2^pSF8m!%BZ+W~BAk+$jAheFTUY{}M=+^RgAcSRqR8n%aoMC@ z@*`6?+-YbPmW(V4Bo)|#uOFNr`g{hiFzkAFyJ?W)rNkNa`i$E%;|Vl7v`Y0wOdL}f zlboAa=61JBk+^rqkH*z-aPNGh4O<1`1>-xeb4(P3()W!>nW)?UnlLnLPPGlzIJrEh zJ88BT-4u3yrr*lo(iz6*ycS-5Uo!u+r3&)$&`o?oo{ZZLQ_IL1F>4T0=G8kR{xul&`t2{4 zO^e3kGjtk3BmTXNA3r$N;1Hj3E4_z6X;e)xY1WE7NR(^!2FG93#5t1Wu$d2S6zeM5=sInlC-&`*Fl7nkA^)J zts2qX0!V@n?mO=JL*H)>ri-xOi^)tN zXS(mCtdZ11YhAVM^%~vbZbf=E$!TG9(~btb5RZ{Mbf1lCH-62RqpJ#R)0`|vKA3h& zDxe$kciQqf3O-GeaS%=EI*-w?KRRsW!A-pECn_bv8^@=^N-7MMNn%rxSaQ`gVhj;jp`;1doa$bt}{-7ab2%Iox6Wflr z;%=mavm7Sy5qz@J?1{JO>|jbIa0(cbw>K|ytDU?W8E2ljl;67)LHo@j4@~K*O8m7Q z%_i5ht?=!UZXKFji{8OQp2eoO;BcU$=*u)f@n?(GYps4hy?+6qtkhO(cwyxES+&XV z>N!Hv((}tN*+ru#+;+~dN2^j1hE#%}z7GPDG;Ptb-CJuJo-dmT3<(~JoL^?IK*lQd zYp#Zep=`qE-Pq@p{>Jn44L(2Z1y_UygI)^H9 z7}WI~l)Y~sw1|`dw}wi$KmrQH3`r{iG+QA0j44NLq#rwU?OB7BX{qqU$L(V1MBP^d zarKfd<|Cc1nyJsv1Y@;8qTAVLgKQsenskssufM^hN8!7qN@k33w?VEf9T-v3QP1uC z1{irCeJI+|Zkm^We)P$4xCiTU?fge4N&B$Y_A%EliiSILSFymF4juYqB=@sXk zUutRTx)W#roHZmgzM{UU`yXE~Uji(_ccsgpEwkBc8Bb*o?ZoNC(d;JEwAdd@VYBl5 zfLl_$AWHdNNq{jgfqo8qtiJfW5Bzoq$J|ai?Zs~V(SNMMm z*9J=zEJ#&?9Aw0aG#k%9W2#o{a6_yIsh8Rx4(N}A8Kvu7PuFj|9tX!E>$KT-ta4H3QZC=)$ZqBC( zWfoL)r9Zh)L>(#yRZ&sI6)XB0w$~M`bN&g}3j}PRx|$HA0E3d4oY-N`R}3E}2yQG8xjnp`hWFen;Y1X!Emoz&2AQ`RnAJ?_;s zbn#`-;rTlCH-0N)1btvJ66gN{y)p29iEp=v z{Ci1i-fiEZe&g4{Y$Tq>LzXvQ$F*|;JY4q9&b?|UcuU7t)5^Im?4tr*y~u)~r1nj8 zY8l909V=S8`|v_OPMvPIIydU8CYM8kt>`D&P}a>qO51?=s%m4wcHGmkXYj*@?$wf3 zlU+;e^DR>m(ZZ-<3#HDfsuJV8@)_V}&OF7Vz!Gk>_IQT2XB|mK3Yfx%b##hvHHFh? zw+PFu7niqRxU4v9C}0O=)`NY5+uH4EIeebn++B~wk?aTPV`(HijN{`bLg{T>mKbSC zSNkld3f%GLklLe9y!XdhpS_(BH;ILAmmO>6Lzqc;TbbLRRG4#__fx-=RibBh;B3c30+kh!Iy>SKgb_Nd(^X||&H0ipx=p77 z{q%SYdKE&IH_vmznUM6Oj!5l0AVs@Of{9&2bh`Y|jP8H8d`CCjomjn;n$@(lr&GSkdxKpV}? z%;?+Ur=PM`oE1MWXvdTVsYqSdw!E8|TU)1L0L43T?n2_9R~=fx!#$u2!1M*A6PX=qSAGbD za^@u75?K;o6i&-2zUE#3CQbY?n&%Z@rfz3!{r_?E8?k(?!M4rE;=SUJ`sq5QO!1K8 z=;4qv@|^=NTBZu7Y9Ft9_!dq~h}Gc{;IF!Nn3nQMajG<5SbRy*6`a*@wO^6mI>sFP z2s2DBy;&&hMe}(@hVzXVK-T~|N}n9glmAEzU#Zu6M}DBt_A6s#42-`r$SoA?f0l-( z-|O&Xq~2)eFysgpa;29e`*Jbe@m|OWk$2~z-QhHpCLON`Uj4V99|^V3dQ&`zDf4r! zmHS?O@I*F4_CY$pNJa6nf1^WH&5ar{Um6aPBHjU!+?%D+!d#Et{G%4CAgBaK@ z?pCSMM$gI*ki9>oBAfJ4`(lz9j(=PTgfv|2uHx=Jx#{8MA`tpEn)}~KdHsftU`~68 zGGU>{)N6%6F_2$qylfLqi6Ip@$o9@ZT@im=ZDeb1v5$B_BN5;+nh(9THU3~gOM6cd z4GFFI@x}n_MXc3O8D30iR~J(ceG{^nW1V|*b!m+lUR4J4_<8BjGn}=c-}7)+KeyK< z_7-Q~c(~cS*#(l`jUfVF{s2K!=CcJj5De<>JAYxDnCxi=T>i}g3!)M|zuonX?cLo% zLE&WtrFkZ_2*dc^qTjv#Otx{^S#8WdkL>&2e!&x?>HP5b=DZ!lYK-BTpm{iGYWv@pKVG!chKfl>ZdQ zhG>g)Ze}NRqHPFW`#ZU+eG|c?%;by?4e#WDmWHDZHokIy?FtSvDI8o4n$PE=2l0F3 zM&p_Zynk8~$uywwP}CQgo-1NNG8b@c=;v|2QH>ffmT7KrCG<-MT{LhOR$Z2CVoL&i zH1(NwR?)TTh<_VfTT(P4qVm#L&D1N3B9uwsSd;WeNcibICo%9p^tRg}H zkh^g=&2yUfS$2Xt8P-Ame!+V0*&lk?^AT}aj=nO)ya0_JKN4HNM(($3y3D(?e5=e5 z3Wg^|xw3XMaU2^?AcRwQ@aadvM$jeFNc_W4ECZ3h%|Ke~(7#sZ+43wq^bvcs)psaO$^&YJauEDoWVVnX=vLUa#KDyT$OOOE7PvOVma72AX+we~5JCf_cQ~iK!uRLBj2(1BX=RU>d)rfHssQ7&hA(PT|57 zesybN3z(MPjnt~%QHrF=sKa7UK%>0`RQJcZ3;AMQ*U0X8QHE;6E`1L)s=i96AWLGK z4EHM1(xhP?)XA8-)>R5PkF_3?1NDIS`P<+aiRDm9ZH*fb`4F1aX!utwUKeH5fwxv`1WzvnDQ>2{je==9BF&4t=Y;Wf!_1&EU zF5E}meFrFrtZaw!r_p_=q(cmh6t+iQg#g< zpc^^BLgwAmHfS&ByrobHR~HqP9#L5#wzqfBYJ;`I>1h7rRIm?S0D`0dQ8K`#z|w`z z%AmcG0C-gO=WF2K*Wq94|5LvEKR`UtUs+teMZNMCVqiBO5o)K?3Ef_$;Crg;Pf{-46X4Nw`Ux9?Os|K~Sed6C@au~!4`KrSUUfUL zU4mk_3*I3mLk34wF?=FpMD>k+1WotQ(IjlR<0x;Rj@NmQ-xD#P(@#wFdpP4RrjW|) zL1F#$*|x`t+*9t2iI2JcND#5RzVREpuyCC8vDjMD^FylF>be?Z{tbRVGUDr{TI9L=Dg-N3t<}4Q#q!N z?B0BfJd5E5CijLEB*1=$gTvnTk2fm$a#m>!I$-NDx;U)@=vv3>Q`iP0c|sdH0S$pK zH9N{x!s_LTmFJlwpYcy!p4bIFO#*Lc>(VG~WTYZsA{oj{H~H3c_B`n~weW7Gni}94 zh}n;T{4mq-4wQiz9kjj_;LYm8$$wlEuT^1?-CLs8oH*Mh(edaurNF%;CPTOMhycfC z*c-BL(E-|Htj9ZF#BYhd0|>d84D(n>p|ImwCwz0sWSwpkky*D~Uati4QM{sr<0aMAq+5WaJK!UHVXa-ZDl?JsF3U4Tjp(=CnW|surCz>jRdHb z)@V>HZCxEh`AK@efKq%L%|_TA(hWD(a=oLy1E{mHqY2dkM--?UbN+~BW~-fRNCbXk z@;@wgye=bS10%`1p2_$vk}MDuo3NV#F%lQJ{j&Q3E!1??Gup3gF@Ll83 zFuj73*($yRdU>y%6tVMnIvJL&OJ^8_*u5on8pb20vNe(X{HILY}%g{&%`Cb@_ z7_~YjiaDfS_u%GW=xz2Te)!e~V%ZrQ8{^&>5s9QwO{d}F1?Nf|3g<=>?Y+()j7@OTUU(&zbY1)A zbGo*G#rid=f$Bf@H;Nze;qg!G)c=REw}7gu``W${3F(wBY3T-O1QA6_5Ky|22I)Ga zh=O!VE1eRDZjeq1>F(}6=Ub@v{k;F@`Q8|V!EoTvv)Oy?x#pVlx_(nXI;?+6_hK1h`GAbfVW^6%{KIsNnC8G z4sriE%>pSr`w(1?HjumP>Et1ywIdTI<>kjN93q-R}dmT@HT{Rebb+Q%b%yeA# zEQ&D!gF{F!1b3~+sRwetzkovU+;}6q+{4xHcN5VEDe|7=n0_hHX2e%nqdqD8<#kjj z*eBMSN$o6`M@_WxtD)tb%lsvF?z=@dS*HVCV&%<$SO8`zZa*X&3>V8*@rU8o+m6+r zj~2T)M{!tHj3;W_yfsPK^&Nasf-9$NxFT(ZqfA^cOPt&<`d@T{0VU0s;g z!ll8G_~qdz&Yiwtj>!AOBd+v`36SNpRz_91I)A1=8wesIY+O~a8uILc(evm|)ro*w zeG()u9#x-oJjZ996eOa_j>FI1s&G$Wp*ZwphEd?F*0p7}H=~&?8!;4fW3`d6L^V?` z3oKSA7HU`X$dwh53?WO=ei(ZKp&R$4Eku@oMNP^=71JDRY261Im`_u4; z==Q!Yg9Eb)-GpnTzY-m()bIz(CI=Jjx*dbc|`2M8h4_DfppToLS=D3&e z{YpNgy1EG+=Fl+|C42e)5F~@{U;Dhztul>mBt8+C)`41)CNmHyqK3ZhBMyC9owg&e z-F}EOXGAygOPOBahx8Nr`p!Gg!@DJNXCu}{!Bw1Vp{W(C=p2?c!u8^AEZ)m!i=n)i zrVbx03JrpATVnix93XtHNj&V+VVPAs*n(fI>5U9>6zI1i;N2bIl5N{Ad7Ju)m^%1o zZBn9reMdidPB%u+6~Ap;ZrMzl1zuv9keXVo3)jES<}USwa~)CXzCJ+ZL{)m>+Cnk3 zbT7`gpR8^*(Xu!E-TNw>9LFYzL7PG&^CuIN_v!?yD#94^xd?Mp(HefDCyIphY9A<> zzmb*iLq7}7((^L!po&H`LY~=1nIssWYSunp?#%hypDj7TwX1nEkRs;f;JXzbB=cf; zw8a`>O212&c-_M6QxWvR>N95Z?SN%lx%DiDj|n63+de)#P0EnLG^vK7)7tVUFiYJ? zG;D$8gu@JtK-7nJ;w0zFQZ^&Nd z%4V?9iQkLtY)Gua9gq39u|OOC3@Y8>WtDW?`U4ZW)hjUEWnqb)Z4!qyszK~v88zag zhgEnz=1uCew}u&M-OlxWs(T#aJK;g=pPDuiA5PfRuQq9^2zhcwu@>%8B=sdV&PLI| zhblh>FIB$>ZnWI-2O4{z8<0!9YNsc-xj89s^XYiJNQ;$q;sfdvw0I=alzX{M7dU?| zCt4CE0Y5a_Gr*QDy1)m)bwBwLNA1Ihjhi$D_7FT#F97T~Z(@H8yoJ}9~LX4A64tqHG!B+LkUy8)B zYdD9DX@j~?f(;%?+f^O?AZDz;iTn)|0VgE6Ep5{+VpI`kh%Y7jEk#S5alo*of|J%4q}xL^33G%wg&Nfy)DYdpaCM9LJpEZxKAa3QD*}eRc>3SJaL2slDL^p2{}l zp7^h;fOuOyypfw^&;G$Rc2gQxR0PxFS5KhD`uP5$=Y>vD1P!f&>NB_{s^_k#GO zvm@H0uXUAkZd!^LCy@%?-VL83tJvA8IIXwUU<)7Kt$I@CN-&nwh|k`yD_-y-p)$&_ z3a-OXMDi9~n4cw{CJ>0m>{t-LO*r@nrzzAD7=M?8_s_Z9kM9nD*r7Wp2yb`5F-Hgz zdFqEvWgV2O*%!Y{7ba>53|5%q0;&cf3D_kKL0cAlG&EMkY?}H%LP(dgqc%&>m_M@qYUUVu(UsjjZMN zI5Z@+U61y@5qGK!2cayMECn}*fhLyh{Uam;=TG_m$iKN_@? zCo_&!ai3UQv-q!Te!i2uvVKpGqlbs>^&#DEw1iexg<<@!wE*$WjJfLUrwv@!Kh8*W zan%d7@kXc*{7sheRDKRqUUaZ3cfI3Yn$kzf(Sxuj!=n1B&nAbB2F6To-k%8R|D$q% z@ZE8J8H5M)#ltFFl@e+BQvKP&p-Zm<_5(y;VDIB6B@UV_0d27^$6%HsS5fnNM^Z0&>zpspx! zPoi{evO3QgAGJy!A`(`L_5ZQV-$BhgdV3nZ{n9r=lZ3YB(_9)PU(0U>RS*p>O}S_`dm!s$EK^S! zvV%lVvCo3uT4oNAW2Fq?U{wg$ZlqXS@HBI6c@C%wK|`iI60H~w6z;XNVe z`!IdfPFyyfsZTD7y1W<1P!(^0dh#sh{y<}zzEQT2Nie5MGwrn^5-U!pHL&}2Re9RS zs`<+^U)4B~u*!|nRB0lKxTflK+h{45iq)KPN%u#hQ6cYlT&;&tl${(!b6CfHR_vZ5 zL!X?pVpK{*jv*dj^S&yi?#p^5%jirHnD?iSk3&cS7@WOi~BMJQMme9hx4!mMJ7mwU#@f=S|AWWV5)Z3qA>X zHB|Mi7tEEVfvC#lb#Qu?%ihvX@L*#o8Gq?hZ%e~CMg^Y!kN0Mv6V6K~ z#zsbE>8368B`Qesfwm2ppTF`_^c(=S0oEJeRQ1g(f5qk5dXKGP9}>+0A`alI-C1vt ziyhWtn1k9i4YyfOL9rAKl-(!GH&%HPg3p21A~RYl_>RU!-LaHw62cL9Q53D|X1ZPF!UPe=9GX+^IuDrL^xUZ@TtNe`9&#bczWx;S?9@U1n` zYi_5tWy8S3`!A9wova*T@_&`oa63exE%@f%=f8&hLEN>W8DHLMQ^q8@TUKK{ZDvvN z7rSG{yMD0_DEl&sN^>vruz+t7kswr62kX5b8NDH!kWSyKrBgLcY|k90n*ZgAlO*y^ zmaC5jN+loO%Vzs5((MBe_~#{T%F}48Z>EP5d1Vfx&yyW}O?>{TZR#7{qp)wo+e|m! zdE@GFFj9+eETT?kcgMfq;9?2oWX7p-)caRi&<6uAnn0%v+K}m`AI|YULaRgEEO35k zUmHVaO2p;a9yLYKk;_f7yNXRekg} zrLe4TB#NMsq-rvAD<@+0?Mo4xVoW-jo9?#iF+oP|Cg)^YrWXxQc3gb68aAqOQKr9u zxKm91&DONE~C0UT!I2AwL8W#MT<*%=BJ$m zwd8P!K?mawuVZd4p{mvhvb`V4cc?5&)^=dg1Mgo}`0w=+KVL`j#D`2LANh_A#laIa z*OD|JxA~;&*;}EbW3{Cn>A_)@&C4IH9w`0rqv)kc4Im$h=aPn9UhQv%-KPxi|6wOd z-eqbqH%&cy=gDJ($Jx#nzXquS4?ECEFl)}JI}W&6ljPB*VCgQX2dkc9PiL7XB8cDW z>JP?8KmNQ%Pf1_No#fE#J0wRF3X1zb!}pOu!)s0op^S~2+$34Et5)`@v8hzfSLEb} z1};+vhXzF3AMf{^@FBfDqY~@2uACtX%j$p{7-b3$pBT2>0JCItrf{5vwyWT^I+Cbx z#s1k&om*Bx6}jvhR)|H3r$bgV*|^lo=IN-09z*Qfp4h_^XpE`R(jM}_v>Xi+BEQ85 zm!<H9zFkLvUtYOFW;~R&E!d*BV+C;K3XBvStQ;a;GV~E+0(QT zDstqrh%S~VOru-=V%wk+NOJcal!-o&=on2mJ_H8h z9#$(0*R8@z0e-YurN1v^ zYnbDc=@{h)RY>Zl#S6C)0-LJJUBuYXL?DMh`d&`0um1shryElY>++3&4wg0EI82gb zvYEW!9AhsiZd*!)>%oJmmttB~RlO;{_se-|NrY0$o20F8N=>Bm1`K|7AI|WazSzB# z1ZwnYTp25~ouDU)-WuQTZ}a%lP>5g8-({U*NFQd9&s~cTlYv5rB6s>|roIRY#+S$E zQjaP8f?5ZO@?Pa@V+yq}Je+R$BIDCm*eXefMwvq=8oQE21M=@-|iElb$d96T??lH+gG zN2YuC%3kbgiXbGVA+_kHLb*A6n#V{xHP`lQae5ma+le+^J+|+vPU}{R66Sif zTU!k7q)xqiXz13Z-b_v-_0ipk9kTFnq|Vb6+NlGLcpvBIdDLS+SG>3*5aeZSK9_)h zvqdk<^+Zny#dT(ECCG?vErg}kAuW+Tv2t())1LCC12kDb)dv1?h4_XbrBO~EG=``| za-1JNZ4cqJjLcY|V6+CoN1J-!^yR&&<>_^ zUsOD8?CA0S#vmUX4|pUq6t45WyU-9VEk8dh5VEXCZM`P;*+*EPKDGT=e?vR znO|qkL4<5UKTQR%spagq#7~(Xsm5h5OI}?YFdb_6US`P*MVQ3JlpvBSgo>SpkPRZs zGCSan8yLqutYXNwifZTO(tL(~+oA&JYkO;gV8bJv4lFX6NRm1d!-qXv#kGoNxKdJ0 zlElMOR1qwIR3Xc<%1*;DS5U#Gs=5_B{&=YN~6`s1@3)APn@rl zZsZsieuflxgUv%e{iEa%PCy!>gg!WW-C$51@_8ok*--hBMjSjwMyLPa!{DfP_U-bHrNLG8t#4N2=+SQ*jNR%1v(Xq zz`Bqq!P3lD%Rd#K_EgF7BAp8A)A!`)u{$@HXGaX5RwDT#+@78sM@C9;mCK`#%0N-Q z^64$ukz{?PT-Rxs<}1dI)sW>1~{Uf+AcFE5K9Rwshir|VcD~J6LbPL13r@3 zn&3F0xrX}WfY(KJu44zbL1yH{sj_}5S-)XczA}g~)DasQx)%@QgNNvtRv6E2LX(t) zTvrp!dPQs-3AC&CTQH(Rk(_+6hGZHpW)_+i7APB&5+SjVf64Fa4K+y{xo}NNtR=mB z@vDbZ9S(>vF1=*~iabsh<7jK<;|CPx^_0ADbMob|)bOhC|HJu)LTwTLCoSzc49;24{#SO+6kx9uhDd z7jIOMr`{XU_1H5}jJuyp`@j{xuci8Kywk)bJX8b|c_!?xOb`~iI*t5s1tt~Wue!r- zRt^kq!WRlzlEPfQJ+YiN0Yh0>v0)z6bbCU&jV_4?fpQZpHvER+mhm=K=eonj zuU$cgfGaxkm_}sAhrhoM5?mS>;Y_wUlv?&;&RT1$y5P~>6RdL`Mv6| zeG2e)ED#4ZVv99xis}}ht188!IMk3i<^z3c{G)fPIYnc2Pu}rj)g*p){V?9ZliBy$ zEICG<;>Gr`jRtFX-v^I9tYz`zMwPF!8wi1;qt{amyIyo(Ysii>ZrdHVYCpDpGsmf2 zZO7+N%fx`AK_P+1H=@O!~WrJ=U|TAbV};s+)m)BW7+#L8KB`JYcN zJ8|si?;AGWobhh?qmj5}y*aU1tvl+M=0o|{dZ=0F`kgFI&n>glc_S#W*IyK)=M?al z<|Ls?sRCkyjXlxqQEXETSWIwkE@6jdxfs1p!qS*(9n!{rx#OnJ&`d1Z?`@ zaSG5@Bdkjo4Av<+9NM6}(H$p{W!z+yKh>NTq!P6v&nK_m&y%MHElodOzS3&4wrx1b z>O*$xgpjblKu>Js9CW-G`X(o|wx%(Ernlvf^njJ#Ima8QlIyF%Ch26TE&7E@%sqY} z+so!nxw!%71BquSHKvC5MkS)82tsgGY(}UJny-;9qT}OJAUs@z(OS=A*fMpo2$q5l zmFlQOf-{YD9$8({6Fu-=j}uXy!4=cbfBTf+mq}b!#G1rP*~3-ep^1*S-2Gxwv3{S! zEY0=a=i9Ek$-bLD|LRKV?|z@QYoRr0E1<8{XwOX-O}R2~AlByk&3Tpm(vM53bRkzb zHxZWNM9U11I^Wq;^(vsGU}dCJn)~0}7+vU-beUpEbnMOA8ycwua}-*C^sI*LIpNrNi~Gw9^oL$pml2y5)&)hY#}dm7J%>3(jPkqB zv}h(d>@LiPNBJa<(=T^E*ui#ZX%vE)egp!$uvi=leobP%V4{Sh2>0`SVIiGDnP53m z+nSB6^77K;@P0FP%PLsWb`E4?*u<}9-L27vc?#gZ${70o?wC_tzL1+Oy@wZgolo?# zkUMgLvcjXZ>ok$yQuf3>Vn`7x%^`L*UB)ss1+^v*Wx7DVDY^fRT0j~G954zVhCD-q zW37!$wByp&NMd^(QjK|A#Mn$EprLX2R12KjOk^aix*{1E2BNPy3#@R~5_-I=9aj9z zDh9-_mK`vb{;1NprlH@sLyP#W#XQZ%vyazMwp@-XQ+elJs~ zxZ(9`ur!JF6%yV}GT_#@11ID-&qtS%fRG7+A|7QD%$&M4S(MgW@ZdAg4sUlW{6VMQGcstzx{Q^WoN)+x0(qb z)yweUEHmJk(!@j0__d7*IYe(i*`X2MchDe%-hUVW9$wm0sfgj*EcA&q0!X z1EvtnQu7)PxROcrqLTQ<$Th$vILxj>wz)eJW7)MPT_>r+XOx>92;!d^V6YO?511-^ zA!Q4$*7_oVvYWj%;wxhN1!FUyz5-G-Y7)AT&Pg%vb(hyJUoF=v>KNlJyDgR5@;!%1 z2!rsqjjxr}5SQ+`heZli2XrDsYu%aGte=nC>+m~A_6N__%hVU%lHHF`U0r>|NsAh5Nl)~cQsP=J zzV@2a%`oYbh6!&n6UY3QZ-3DHS6br`TIn%(sUgOP6>M8ybf9{6&B(b$+I@Yz`Ebob z!|pDHIq&VJt z%P4!`%J=$Ku4FpW&YGRL&t*`|Vwpn)EpI3)R(mYEy?WmHNB(DIpI?20?4m#BLk?2~cYn zK}~FuJG9FH{HcO-vu`+6<76oo1}SM7*E>wb2$xRq)AH)YS}_)%lh?CF-33<1mGwcTz;KON8q# zg2Vk34?Mk)#Xg{qU*LEGC0EOa=KhWW^FG%qk)w@I6RL!MO`0X;NvOZ*B;0-%PIy1| zpyRW()v^7w`&J>W5DL>=MX=8HI-41v2I;#jCf3Q`re%>pp;iUYTyRH+Ken)(hTy%m zV6)9hz3MSRPl(hNt9sFXYGt9E#dKYoNGLSNwk!JPL;3~cT{s?%BoSrl~k&k^T8xR*E zIqT?azFL>S7Ogs1>R8(sUri`o>DlCc7brP(_-pBNl=QP+2yCEnzmDTB1x%4fyn%Z^ zerHx<8vjh31fqvaJojndtGcIw^On>xuKh05y_0C^rJEl13lF`q;yK*%M!}9NKVj~0 zNm}3VAsUz4gQ0#DS|@(ZESBK({IjpW{7>pUU0*^PMj@aXCHmT?ORL;mW$aoeCl3_^ zugcu!+i=7L_lYr4gyXi%ZrsYddcf3DG!>OOios@6LP@Fvva8|q(t?1jK)$6i^L9J# zPSkOejTcH}P7$7VG$@?2{y5_6{1cha=o|Rxe=aT}nZ_M&Pw?_gb&hsfTUs~PyR@J& zxfVBES{Ra5Cy4^aivOX^FaOkmxn!3MLkv#6_$MvD7v-1d2xaWIBwZzx_EG;Z?|0XG zI1OukE7t}=P6x1~RJf~QXMOI(f%o6oK;uh+1~%J1o7xRF`)r(m6MrB9bq9q34rLAL z*un8#fL}hC$1e6U@akLd-9*Mvy(Dw2n9a*yL9U@Z4C>FRnauHX;@{8?UA{ZR`K5?4 zs*d)cY{TLywO6@@mYDRq)%&y%sID6o$g3ykG{Hzo+^d}dEnjqfR(A-<`=32B^ry4d$51Ud^A*lX^a*2+D8^cu?&xJNk_42Sk_t=IgXC$a zsU1NTDDi52J|)XjMqBy7XJPigAGg+n{e>WE6yfA6@3l+Hc30x#M=sRRaGiw5&*xrr zHTGXQpV~FZ$FfUfu!BMOv|f z$t6Tl^f$>PuAp;q)NsCt;qvg8a998doWLk&-qY0#oF*eg69ufv8j_$m^`k4F*d1X2 zsw%Sx-a8knNotN+_R6f{+4tm&19uJ@0pL#V&B5JrLG7Af>bSP;24SHK=WuW?w9yT(a#jz-F{d67|yR@!gbz#v+OWCXSjJP}uNcVgRzr|5)H``?cexBdmgT}fb@Qjmp7r(4Q zJ~KQ^d@Y_~b@=hv3k|)S5?_ucJm}rw@Nej{WCTG|FWFnyFCbQ^n3?K3uL7ai>n0#*E&$5J)eorow(U`R_mcxz5QRQ`nz+Lp#Wx#T zg%*}ntXc~NNE8#{?os2oAEtoeCrrTjfpDss%}-$Q?O>p8{bz0^@kh;+j5h5%r5Ave z*;nUwG(r&M_=5E9GI_tQLR)(jNI2m7i1C?Wwp6C62I>zQT>hF}!Cz>lARIqfryKk} z@2eC0f(JkoILeFOCrau?1tYEkzp`=y&J4;dVdOFYy2bFbBFNy7u;aSE!_a6rs%Y(3 z9bcOFh^CjvZvkUr!;XKf)^FC({bc)Xis$A-kMM=Lsv?vDZ+-v94D@&tY%kma1YzFe zmn9w4rkT8d-4abdaP4kNezh3wWOX{bPD{;M6qSliQT}rAAbyga6hqJbwYYA4am6W3Toi!-_gdEzyURk83cD8F;yO<&Wx62Lk&N`R|Ki zQQcjkqGXWyC?M$_LN2ISAKitYclwRG(Cf;16LX5NH+7$IN41ZlK}1jHUcW44Ek z-{M;hd)?1w`7{#ROWgyjNZuTp+x3xrR>_;*u`+)M76Q}1I zl&@7;6v3cy_X6bt)wU)I^r&6tyeb(#FJ{;-#X20Fyd%y5n_GYL!2- zf#uTOd6;9`=yk^Hv0WYH{?*^Cl0kwaV&w3)?`GN-{0x^^WFEoR;w!allP9-jtnRxD z!C$$))%&z=*d8*ecYip3zia|2MUk#gE852g39AvQskZxPfE2mqL5q#y$R#lHMQk4S3ySQ zPV)w@DSoc60D?RjH!jv}?L1cG+MMJhB{Nfs$+=sNBgUj*J0mwf|GvdTY^!ga#x?Z} zoo!StBKm{bX`=+i-NV>dUYP~PCEm%R50S2}S$jSbNOaYHh7JK@*@??t&P0J7wU*a& zS_g>c24vQ2Gfr_{w&1LlZ%rjSkWv~sqIRJ$nWTCl0u%C&Vc7ptsPYvB`=_4=^<4BE z$t2{SEA_$#UgOH>AuKG;%-5N9QuEo~S5UAU*Zp~)$@}%Cyt1=PpS64}Tdvm|*Q^EQ zJmZHyE3`CDl7i>B5ohCoCj}J7m2TAS#A(*yu%W%cxeyP%;Re;JE*$e#qxSZ1d(od- z+0h8me36!_k}-G z-8Y0{x4tieVbh$l(xs6T-)AEkB-YsnB;a)#xi6o@=v1NL1ntj;*)2yrMY%LnUX={1 za7(pcB~2l@cj@*`G*8Ob=}b}}mhJWPC4=kl02i*C`!dt&A|mBS#n~cNK?u?5<)_jQ zceKM(c z)DUblV9EPYX7Wz-^(-yqn+gk@H3Ecb)05SCQIH zn`oL|iXlVvVdgM7jSvPgZohX!PFtJg{SvzHv09T;XOd@Z&OW0%h~A%#aiE!rpgQTMcl??9^>s5Vao6OXUk=Q&%i3`yS~p}J^L+rL~cosUHlzyNURXg!MG z^&KCCIwHgO!5Agm5WqQ|Hdu59%r{dYwLVQON09wYVxTB?GSXJ{2gv!Sy#M#RvMb`? zXriF)DuvWK+qU1W;NwxpSrW}m!7#PB!*VCwY)=&78*{0+u6%S-^SxSQdb&sc^zS~; zqsFT!AE+`M%soCVQLy zRv}=pJd01$&OcWBT55~5eB}WI=F~?>Pfm!;cb8MMMAGZzM8o0=x-*Op* ze~alP@qW;1%Y9b$oE?!ieCZkYO#p8neiNQcDO8<}wS_h2q3V&sF!T=!^^0rM~EN_xD4k+-}eIe-7$0h~{MmtAlgURHw1mlOtqA zuL{eKO1S7yqpUM-p1>%q-{AOBJbLs)U7rWiuTlwKS4 zhl0`9-OH*g&tudIC!LJ5TXic8T9wdiKhF2QdUrToHjvBPFC=|+M{P_zwmw}X6E>Qr7$-p zpdWv9C+Fe&jrkxdZ#l-V*z4zI+V+wfUHZz2RqBQA{QUNd^iBW^hODzh{LfkDpZiGT zJA&J!xdY5q6xYK z7)T`!*l8!uQ~Tkb7jIk&1MO%hPw}j#q`3}Q|M>;M@A&(RUdG4I56!@k25cpZvicxF z*#t!Gm&J95A6qU`>OFe9qu3;4I5l)f^EH%A%+_)MkU$ZOT3kB@uy?B-7`px2fc(49 zq&1;|2^#8R=kxxXKyCBN(xd?DF`(P!KQZuk33_Em zH2vNCl3^&dM?p%E$&{{RD#N?~Hd00T7)@EZ zWL<)8H5{y)aI|e=Ug9r;w(26z+k=R{w}r)J3U0Umafk1Oi~<49H|O2yuJ2@esDJ;y z69ExwJy&5F$D#!-$OC>Jl<1F7{)U?WdN>)<;J!Usd(Fl4Ki`}Gr=Ns7ATqq9qNDrw z#rf|a@$YB-Z~nl{0~VU5F%>fJ>s<%-r3-6z}PP??>JDCc#qhLHYW z=9>D_%IJeahpx>Vs8udle>+|{Vi)Q!Hr|leiFur;0o@8FR;2yhI|qjmsg>?r9T69c zWMwc2C|L7HR}_GlM{@r<_{m=z&*^Ky{mUb?*S?`Q7YOFLMm!Kp)Y4?XrC zw{+5L29y69MJ1PJcN@X%E_j{(Ss?$c6lMV=P^QlU+9TqEXHTsP>>@-^kjsH4TGN<4Mi{xzg~_<2A~P>E8gL=WOZFHTwP>8~#h2;lX0fA23? zxgV7D+YeWC(^ACT-Pa-%#m^BKgDY(4N9(oDN>VSD(ZUzQ_H?VLR5)u2GXjq^=+JC+F zG+6hP0h)&jzwA#A_rCkv)v2<6tFnfo z`-hmMqVz_{$PeV)ilV0oHGUaaBgeJ=`ffyrj(*EM*et5u9Zq_WNt%)3x)_|Mu>$Ho z8fM8(rcDFr)E@`Zr2LtgNoZPm|2`SH4+xW%tP5kAmT@^}R?}4~USIjqpX0uT)H?5w z@mpo-UG?uEitK!+qbBp2x6=h!7$?9jKwen`eL2Cz zxVG_PcIIS$&ewg<(^sBe0HSHeBxn`3A?OvDGE7HBMST@^+9V`e1t0k{giV!zMxKv# zG^0s|gx&r21(w{rS9da|WpQ0)zX_ePb)j<_$x-<_0;X@Y;9r2!;s}8M!*hxCJcsII zGqdEYSc~g;*sQW#F-f>2>w!+pB8}pEj!heL*$BC9L;9_-TD=$Ktxsk^-C@yoWPf|M zUW5&^9K{=cbC##q=)DPI()|hP4JA49M@By|`GJb0WdHczo$!O={H?AQa($6aP6OSa z1JaWGq`RgRdfz?WMgc-?9nb7nOx|d|8w2`%LhUlsP%!b}k-J2j&<1hC@v!_ZBU`kBdzSN4Gh8cjd-lpW}HT|6baj*YbSY3D^2X(0XsAGOFM_;Au5shiX z^XUBmH5QE`imZdXt3?8~&ivlza+$S0-M7j>b?+SnS-O&syX0d}EJKVSoj|`yPK-g+ zbp4$WT}Y+9NZ`ry=MQB);e3HM=lD}0Pc3&p{b9i3RQcN_G;}KMY$(|yhi^pj17UUd zV}xphq3NnhkDiDDmoX3QB`wLEP)0b-p@>O0VTI*5N3s*2Sw#8%ydelDuYjtpJdNg( zP;kceE74#Z|DUJ^qLgnN+N}mmcOGQOIToXNx$IidfD6p3#*nVn*G&f+_o@>(MHF<8PQd_wAtLm2~GkaZJFWCOf zlJE&@0s$|pF&(RYbrEy#>g24hucmd=&iE4)|e!PzR1u|`qJat69L66d<`-*KL5e6+v2jA(3R9+gam13 z*Mpa}L04(kXFHX%KXNTt5dCkb8;Y-?{<}{)AeAKa@zuZHR2pK_%*-qQ>CB;)@i-OP z4+iyub}Sk@lVk=VWIDH)uJtFcYKwyohx`d>6|C<8ijf+FFZ(X$$v(-xW9-+?Q@^;u|@+@_%r%*V;e{leN z`eny{1V~>BwyZ|DH?~XC946mpe|($Kq0{#~ly?7l~ zpxdEwg_(>-EM78^?vVNXGJn(? zi5n6!_hA41g@j-U3)IiArNu%5We4;T^KVd3^92g0a&A*=354DX3ns6Go2#=gsu9pz z&+hWH3KkikvPLMCb<2L#@3)4=2<_K}EuCE$>D?MNe91=R1wUkq`rTCK3hx{D3Y!_> zdhuY#7me-bsM((?0_WEjF4igW15l=2#xG%3SiJu{tRU`ec}^!b&1LeC%m{*>hDY zR(E13MM@CN7?HoSk6b7~9`uvHy~H3{2dgLpcb|{5>tw8O$x^pP6CwE|Ma&})v{7V( z`RnTpIEJt#K{O=eJ{m0G0|G%YqG1CQ^|xU=10Dac0On@v@mekVo@W%|VcUPD%KDQn zGLs;xE92%m?a~^BGTSWu2;JN&Zam$DFP1my*1J1}b)Q;K)xGm51>8CaF<2#V$9h`y-;t#$`qTS+K!swP=2Yz&KkWixca+#+(ZqX}orK{x*qXc6v8(84m>`qr( zfVq+mv6<|Z(HuMPhcqt!lmo(Zk+!dk6K48HUas0!mrKsK1irz=opgJEXxrSaC1 z-#pG4q2^Senm1+jXL+Bm_LmbSFNMjSrX7b>=#pl%6x=8ToEZbjiHIO_q630)z%S$mywbVAV0Fhg7D>#a*ICZ5_1y2+8@N6Oe`Ch`w;T zi)F6FBfd(I7z5JL!Y#epsuB@DQ;mSJ#F%pZ%3(4caQ58_`?&Tu{>mU^1;Edja42i} zH1f2@*WVz{5&S$-|0)TNFR#7`SRX#rc*6O{$VL;P>)hyzxd4t6kXPoH2VJQVkji6H z@%%FPAx=}r2$K*ESTH!mv7XU!ncHb>yA4i%A|(Ai{jyfyyQaqOgHouuVEUwNy$2~D zPEFCXpQhc7Xib-9hhSDieTEL64H$37qhT-kP6V8x>lfo#NC%leC~T69-_Az6bce%k zMxHSxF9)um{f;e?tN5?qlG@HUKl>X|Tafzgg5XqHN-$6O`PI?*BiOq!iI?G8cJ!Q`p+rO!z^Zwgy($&@U=bA=na(ghJGH5F#o4e&MXaVn0PA!ph}y04 zF@auIm2d{7ii>wld0QJnqKuV{cQhFnNQN<-fiMCd+gAcSaFzF-l-cCw3m$f)r8yMHI z8yN@FZMsR=tAoP}RKC7Piu$1k+q;KH*tS~0lpmOC!6+oNgW<{nx*bxVBc?Uo*fY|hdj8HlWL}+ zxW*4gKvJ8A$~tXK^1sC0$yV_9x(X#0h~<(Wk^8ug4CnYY7$|H^ipUZsewtHc_v6Dx zu}GHUD8=dS6uCO>y`0`80|khRBm*X{7zpux_ayfREOc7}HCrHnhE`-QD3rF9>X6}v zX8Mu0{Z-*A2anuSL}dD=BxL$Qn52eC$P8BWeMN%>v|-wy5H6|zSz_}TqkS%w=hEg zbiO`Q{se3N>+$9U?`q#(-PLDpLEgLszNchmgAJcdF>SlU+&*f_e4)_}qnc?I*ot9c zkSD|^ylDj9;asiuHwe=V#CjRv+>k!-^JEDWfCgW8n37!k-YXb9rwpJ=zwZu44r~Hg z`!FUA+an;rhLi*hq(8gt%1%*>VNrhxWcbc4XBT&Ai*K!RyJkgEZhL)@o6Hj5GBDCN z?{%4Jo_4hZZ2oVZiWvbBc->yUlabu##`ET4x1v$ug)9nW?SA`|qG5m6@JFVNvsjD{ zrxu37^78V!kr?;P2j_by4PpcR{n#?S{~VZ^X%NHH|39MMIx4EJ{T~)Y89+J(>68$V z?o^QOl156pOBlLCLKwQFB}Fxc0|J&i)4l^BKb24$)RZUWQTWYBd6aS_h&yTr}~wJ=swB zw!toulnM?qbF9Lxu|*LmLj&!cT1&p$erwB*$ofua0BAJ1Byv;h-`^O7Y9k?`p)jTZ z1%C*28{8I9060#Lc>+9>A4gDVq)N!5Ir%)a&ibZXn*1@`5wg_iV(DwBFIt6Tvq*s( zjEY^m3q+1uBO*5$Z72Z}jx5{nSCJT@%@;dmm8C$ix>c2E-qGr8PMc)?dp-XDHXbS` zWSuJiZ4;sCJtngQD=Z9RGQWkK^^U6Hu>$#{2_~KLQk_RQXpfQ*}aaR9^)sFJg46n_-R#V|P#r%Cih3t*2 z@Q$tO^S1DQK;`E$&h!DhU5x2iS@9JSS%u{zduYop8P`K8T8*q z{z&4%@9?QIt?kdFHA6mrSyrF6aXGi+J}-aJxWRH(RKT=NmUv00wvL_cLs8_RP05_QwL4ml80`2+s`ThKk**W zwAUGw|9uJIXCtk@q9rJci%*Xk)d1p!{MV-deciFqNoQi8gQs&_;{lY)@H@$pLHbcJ zN*uVI!_&xaNgn|ne|fwDj6-57X((ZP51EXA@HRO07uxgqvn1M$<(Od!nURjL;OHyD zX{L&gLmvUA(nO4PXh>rpW>wjH`*XoEOSS#>I(;EfpUO<`(+hPy8|+)3s9#m+Vod0s zpaFXdXyl7PH3NBw+k=1bf$SqBNL}iCRc2`cUG_q^sInlOhbSBSkLBhOf3+TPGflMl z<8sqVjCQ~Ywe4B?{u^VCsEi+>mH(xRwc_IB!x{=2rD}K=55Wpu;~>X8yTe|#Iq7!U z5UvP$44OEKLLN&6Ssr_URr7d4QQ{YHGK!F6_(_8rh%l>~z-^g{H}xAG98N24O1OG{ z#;F#hU-aA{=z)^Sb8Tiqa@zt5`uoe43ee0|uDg(x05ocRefH@HF%%8s>x9_*Cvpwf z(`c}L{<=tOUr&z=M^JEUKwKms)zhQa_@y9kQ)z-X!-N9a_N&JPO6YCM+zpZskV%tr zbhm$5Ztj@oi=NwPA=9*5Xj^INRr#lV`X2J{A4Ly(Fo;Fz7+pB?5|y05MRjZ$&SO0% zeWiFr^m++{b_jqhrC?Z*n&X$LxBOSLcoahX`T3xlpPjHC2KLKv3$^RVj@TlnAFqMP z%dPnyS{pGk`t$$q`Qs=#CPVyO7&dNO{FxParg)Z#Y=#Qh2`D>ZPgY+Y5}h)}cHHs9v7 zm*$ayQ>3=6V@l&)Ev@ybBDZx^+2DE&6x%JEhWzyh)P4#45*!ANQK}=YU#>rV^0qkO z0&t@}*HsetM+$BXfch7qr|aMEbh1>HDA6hzB_yhGgfgf|9jlwzGiUtQxB+L{6NoB1 z+194B(@=31DxGJ#)r0p>fQkx=@fBbg?B0L(M|$*$ZldoIQdvBXWYA^Mw8Rac8CGPa;vfb+e(7aEf+hL)T-qOwf%8&D#&6L(B7R{H5 zNYuYZ3p+j_Ge2cy+Dd~5%KkCryjv$$Nd=v$6)Fr$=rDKv;F2}Nu*h9~>B?}PTIPXPzR0=H96QF`@}MqzI_+tW zE}A6cX!1KA7B7Yr)u+u^XGbtjvr|4RlROK0`B0hrIgg1Sc~r}ukIXHJmt}gbV6iF~ z?ok-ShDVP@eI@p8m1v)W$W$?X)9NGyWa&o}V-n5mUp~Ybhc!s*JXsqS{H-w6>f^!A zs(gQm|2_${{?&g#iozE_B-zistsiRziL_Hc2V_b&*wTD(?U!0~7s10j_o2)#!^DpW z1B=+uGglC(CtIpg{nm&Hq!EWOFmS#P{FO#gH%L{x5wpwnAZZ_A=yzqV*YyZR=E#ya zz+zh-vWnJlF5`NapKY!Qn?@jq9M;V#Zoz*b&V*a?HW4m|#{I zxp(+9!4}l$ZQc8lzx8%Eyl#hsK4<-;e(0babE+^B)Z~nN_Wc#Se=~H``yYvw(tg-7 zTM&B5_@EY5DG46P=CQIBnc938XCf75P5syk>+}Cx>SvQq04%MlQf2H|#QJG(&o)Gi zAA%)0v4T>qQg3xcGco2kuQiYGS6KyE;DF}TL4 zTE}&enK?@4+kAa8O|>EhxiB|U;d6{aTp=NZDiWLI8$@#*r!#MQPl*|7Y#Eo7j>W6M zFjMR>S68rIDcqLUl8F+D8DO5L`1iYCzE_Fuvmtp%6gt_&bHK$9$qvcmz`iSaXml5A z=jv{U5F3r29hcWH?X(hSeGhind`{%vb}2c>?WEIiRLkz=0bc0;?z?t0@k{Keiv_U zL|h$y2XKy3Ky7ZlvX1VH6+V`o0tSKLZwJ!Ml`$Us9yU`RHtp&-$NrB8Hipu7FR>Fu zb?l#U->x)Dh`$5I-}@;-HHMUD{Ax(?L(6}b`5Z@xc=LncoCO|~#W)EiIN& z!x5uB{cI_l(_&Ta;;WP8X{Qxmo28b5xrQU<`@(6@L!-PC3UBzFPsgY0&ASU3!uOf( z7u;u)iOMBl3Lp6WQe;%KZ1C}nK5;nTJ(S}w|2-Buq%G7xWGk#=)*Xtx|G}+#-|>4{ z5sWa@{~`R}Tg)E?J^2A|FDQ6M;Ibsd25JdfW#r2%Bjdn#TZ`+bUqW&vAjmHaTXcGD z)F>+FSFP}SH=3v*DB#d3%~7zOFgAVt1gky2P%(`O;_@!7>_uU_ z-vlyqZxTI2u(2G9~pZO#*S(KI(lPzjUJcf;l8-@X6>a-j2>h5m&YjN5^N31t0-Z z9Fj{z`A2K#7^8`k*jz;t=BbWGHwytyiRa;LE9wxFcl3+ZsPY`+snR979!0*z&t9hq zXfYsKK`=ZMAnL$5QhJZE8?^&)QUmY`L7j#3#8yt;p!D{vduX?^wXp7R7FPpBD9+_x zO7L}9P(FQ$#h}Sm1tx1$wYmcC{c%!9D*r~eT`ls#ZsN;shK7zHR2ExV*(7=t%<4CL zpj|il*8U=k8c%#sF`Y;K9^)1SjG$}U?SB{x(;NyZw^a^LJAJ|c2!Rz@t%~SQu_B4~ zLd7KgT=m?nBk<7<%Bm8m+@%F|GqOLc65gK;$-=~9+?wl^v@g~phH z!^0me__p4@{OXrDSdr*Ffpp|23)0{T5i#m&@JY{L?ijIEZzNptF$@70!+kBm{~t#a z&`JAX=vamHQJCN5Q_GB8K50V3SeUaRn)pBt;rAbcD06zWwd`rj1$VC;P@uEiR*FPs zF#;1P=kk9D=?+Kqkq@K(W+&%-%9aG$2Q&0yD%NLy++gmU*i1cFonpMTQiPfyW8lB^ zLn1`bJ*hCm>xaSdkUo87%1N+3d^8}1eD&sgnt}9UTKERNtI0}}+rXfAgPbPJR)&#n zz)H*e*L$tB;sHA`VfLIt6l>}P%pk7J=Wee z-e+^|$Lj-S3^lkV{DJ_E1G15c{cLDZg83RH^!tM+T`aLPL(TN;U3Kpy|0?}J_BIpp%_%NLu!OcAj%J`k`Yit%>b zf=d4m_FBDlgjrUoH^+Lf1faTlQPDxP+x>hKGtzDIwr5JzWlRE|=zUyHxnNv+e9;?2 zw%eBYM#0)d#b=oIzp2_5dDM8a$b*vS!{yb|HOs-@dXnG0i!>J7g_WPsb)5w(c2cjHw-MH z;NRP7IO-)k6A-kB=V3wPNj2%?9+GPsrKS|}IM5i?2R|1+vh?}(&>#;IbS!KF(N6`> ziX{J&Y9F*AxPUGuckcyxQ=v5${u{PpRt@S>8 zZ)frJP~l`_=tM)>>R|u}8bckG)ze*(L3PQNRFp_6BpBcF@deQ$cKj96RH33Pm&m;w zE;zAY580w-gWhJE;_R?gGkdp)$lxoU8|NB6{U1 zL=RwEO1+O#4GE~T$}1kAG__+bJ+E~?ZhzOOW=eBp%LAh1gB94}^m<)60c*cDv!;Zc zs*c3rQ7*rezTQ)2(5d_*S4e^7nq+IS9Iu;@)Dzj&lz>9hR4k zq!*E>E9y5#F6Mwf2Rd4cU?9umapFcDS`$nXmgn<5$pDsR z+^)hX#%n|&f8nBk4)V1S3BFEPjJ{P07SU=mOGQJcoz=5)Ow`U3sU8J&?l7IB1ajvs z>YYW8B}~1Q-ZddO6@lkr>%|-XiNJE*udnX~2Rq}S9m*rjPh8e)vFT9Q!4~ht#;f-= z7OciUnK50I8yWNIOKBUmWBWh<@fQ!!=-xayiP5R`|JyP5&E~AvVQ?4g8NW*UOizXd zwPE(aPWdv8iJqNG50`A_{)JtCJym`&Y^?*((vE zK6gcYIy4HG@vw&i{Y2>^ySILXLC2(<@ona;NMEp|K(f?8%{Ik0Ei3NWeRsP!GbD#i zN+kbBkaPF-TL%7G5#O8BPo)!DS#4@>T1EU8JV%&Q57CwJ={Rn0R|V;6eXo|YSLPqp z{;kipc>XFYEW=7{*~fBO%%{CkrY$x7OZ`RG4#ZIx&UyF!aOPowGOO1K!FZbx<(DEBaE5`|?uNsIU3PNi=UFigW|>CEwvWp(>wpx+q(*3V5EQNQlnjSeG7$D4r4j`nwkH zE@%mOKCehUqWMgpLgf+lXXh4U=*3<+w~U#dd1qKc{oS8_luK(RpL9eLnwY4qSA+R; z2(9IKjl0Mv&jrr~+b~tdk29ZyrxB2iJ4ZxI&xPPkAfkshl=!Q+VT)D1A<(ymudXy& zj!?)1<5Ke-F1q|OPkHqu&b?7%Tg~vAhJeIPpEa?MK@^mcdd0wSME)oFqIw)a$#=_i z;u6#1j$xM%JB^uZ@3^hB{fU9jo}O>^`Qy`+`z5-_iFWmm&2Mv;njnEi*%uk=$w30? zp2N%8NSn9rl)kr4qhDdQm?Y?@T?V9fL!l+5(`Q~nA8}qTb@#7OE@uV^Snx~5wFHmL>+Y8B3O_{MMoe<+1 z+EJ4sIdSn~emNNrbQ7r1hucJATnd|cTnIiqsgV_~OUyfS6OY=w1dQOB|T@0#S z-l!YSkGaIbxI6RA?H7S3Z9{4HX)NJ$CfM7g7WN^CaWxt8?5EnCWG{p&rIB-A!7$(p z0_DB}Zg?~Kt^E;0z1LL&+qJ#_uv-2%@N~u^XaMMY%P6ISGurs1?K74h23?G>^ zulhUgzE5Fhum60x2QW)#ImVARVrK6BEXn>I-l&XvNEHn4In8sq!<_Nip1mkD33`lm zjN2z6i{tgxDTS~@a;yetk|O60XKE1(1<#KESvt2J9?z1j_1M2+L$y~A+|sQ4Ce92t zUu5RLDEuLh-RXeCDwXLDD*AdcC@!u6!nzZ_Eq-?aWO6-E;v8`bZ-95vG<0B~hf1ji zmi0DQZtUmp->wGTthp^#4m&drE2q02uH77dBS0~w)qvV-1ayqah#C*9LeNS&6&Qj8 z39qj%QO<6Y2n+=Iho@`D**SLSMPdLUM6BnyAYKc#u%J>pJ8I;1=8#>5{0|<&1N+tk z+wSAIZ_>ZhY17h!4(d7`;8#Y`h{&iQM>77af#quTXG#Z`H=(-@vXDeV0s>4aJ*tVN zU;zx<79tjAlaZd#z9C#+RfLQ3H=rU@6!AVEwVu5S&^YySQP*0M0?%nGib~k8>qnd0 zd(s&3L6~=NZ{6$x;TN~WFZ5xb|L@^%%awgWWfN1h;N6$4dySV%P2u{S^x8*Kgyla-(>N` zo3V1m5x14)7ZcwMln=AC;y);k3#n^~7raE#XhByNNa@8B#{GcK(Fu42<Q7cf5t#Vz>O(hv*ZzTk;wtDdY2p$dGOAxM=0bJLQd!5EbC3QyM z4|b6>zSrEY&+&D+5t}g}*7X$A^kR-Y@>d5ELt&+@bk}1v&G$-M%V>=A4#2_I%@_0` z?24T7H^y-L_j|{7%jq7^U{@4cvoJ=CXJFs~mm;{OHa@#%sWMyz<(L=hjXsY&WI2&W z?g{X3kL~bk614p|ZSJ&dmND=C4rnH}^}f)gJ2bnS-f%DZ5ClMLZ495;lUa8C+O%k& z&nL2)IzpYchqY}}>b&-&FnK1GrPy@To?=7ts!mi^v-iH~)a$J7LaF&I2yub!1!-E7 zdazsiyH|Hzq~i>_*mU-1uAw$CK4hUE14!r7{2|3moT|C=4kbu#7gLiya((aon|4ae zgw^ugWHX(5pW;npu4b+Ly(V)gzVAmg;adFzumX*j)(pbHAjSFUQI%VVCy7Ha#`2!WRUj3qX$U;|;1)+Di`fR#2(h*zeF`6VI9tz!@nVJ3+_DWEKNXVma&z>XN1e#nz`bac^6?5TrzVu0=Udy}c zrsK#h1!+&cn5H#!9w>ai#@1wR0Z6(_0d!UhxLnqR|Z)+72gY1rHKKa(jr z&iS=ArrxTVAIAG|9bPrN|D_JwI<>t{F>r6Z-V{3o=N$9J6k*ddydr*1r-D5f2>R9y z4QckI%SjfO==jmrY;LPPpRa_c+`SLxO6h^y+L-T6>EU$c$#r&d*OKQ6re=Zjr-to; zye~U5mF;saUWvq7wPs}iQS@HsT9xKrE*9;yzVle#{$*54nJMV52Bvrm$-9TR5RJQ= zpb4YEu39nmLIu^CxK_~-PiYcK-;<#kLt#@Q<%kHQLmzwPVG)liz+y}o-uPT^TNZoO zEjrT@o`lFT1pP_3Mo53Hz}t^{$-s)w^9#tYiYTv=RRusmT>Cy^3-YLCy^=C;KCS^Q zX;UH>3;AF=v^-AiX51j2`)0?&NnIcNe!imodaElgA)MMgU-k*q-I>cQ$&6zsJ<_I58*jpZ$ zl%ohWS>zPxTH~s?WmU07){!RxDkS^Ep)~6i`t4u&MS3lsPJ58ZeogByTe3N_`2L|Z zxY84a_9qFdR;7@s-cJf2IH2Z=&^usJ;B@%5dOUENVvhHom(HS)M!#EWLdT+7(&0Wb zfHu?qi4#X=!O*(`y;n^|oC?=lg+7(@CPk*N-V;3WrMOi>2F$O;W5DQCKrc9cK)zNt zI&s)&NTr(%I*%KuBayi7PZNH{z#1fCD0AySmLj)R)aW(67oJ+fVa@)@bJ*IXn3^2; z(ZV@Oy{be=wv$eA9IX(yS(#@}!L*$mXsL#iE{yhf*e+7J_J3D87{p*^@warQfm_4P z2QM$SoSBAbxefj9?M4BCR1er3Xo4vw5z^$8mF?v`e>C|>j}=5pYWvOtf4Z1_M&j~X z`Qrc;bUPqO!M{do8giM3)EaOoW}~CpZ3>FnFOcy4scT;w83A&m+HEuF4P!dWt;DH- z`_r2V2Y}w|z*MkX-iGE{bAfD^olz?AzyA;H@?!9B90cYS(?!AJ{quT>nxCnguHz!e zaf#9L<`FVFeI#$WxK6THK9MPLa0-K(svF&X(PRPOb)7kDG@aLeVGE=nj{1asv^<6W4{%3DA!60Z+0<)w zN7;{Aga&N)q7qoR`;;(C>O&vv5}c^B0t)Z z>5wE{crltd!k%!$H15I9!HVjUIZ~ej9jA&?sT%mNPIG3eLI#__?7o8qw z3pzH2W6k{Z>y(82Jta3RJp5iO9TVgpE(G<65jT1v9p-D`Z~OQR3AVsR{%m4?G7#;2 z>0MlIA@RLMh3HjEg#ohuyHQrXyw1*GZ(}@6uM5Q0010W<^8Ly|C5C1@TSZ+3VZKwY zh2j*(@;(mun{G9E&VW!&S^RJ^bd}megIjMkis2|p{=&^qGQ(Aet1+2b3Foiy-d}&T zc077H{`-_4IsOQ(&YW|!sI|O4KGuU04<*cCd?K(iV`AX%tfI{XMcifr!%eQl<^P2g zs7XFZ&wTsM-foWB!)YS6oujUR3x$;taT~VIEg5`$yhdeJ4_fTQRl|AFi-61U-~UnrrYc8zBgG2 zLeNp<60$7Q>MQT$N7OiGUZpI63qnGuAq&|a2OELV1C$M>D+~~emK*f zJy+|LAG`U&1X*cp0a#e31U57Bfh5E%P}YtSUuy^GjHBJ<$Kf<2dBg21$lrjf?N>v3 zfueV0RgUUD+sJY$nzEqj65zu>G9rWc&(?lib%ANNw`~gP$;!1arrjJ7NbgSy6`P1- zJdG_>+=u6xCJrF#31=?OEg!mC4uDOeHdSJTs}~J+n&@tw$T7Bthv(j(G@th}VEY|R zDiDnZYOp0H<4j+3T={lW#GwSSiY0QY;<9%0MZctGFrrau?yXJUlJ_e?AWxn+3#~>i zcpvq=chvb+Q=H%Z+uv)L_g?yp-mkzk)&4?%x*-el+PQZo=^g zICl8&+h9CGrz+cKKW~c^5lg9Dw2$HrH|@uyg;!w2jAd?ewZM2++gx% z2mU|ae*;AtN9AmPLT1OY#HHZ)+nFb@woW!3wyE=vud^d9&V~FPStfYuQ%z4L_P6D% zB9g7KmidxUTR(SQwhdq`^yvjtZ1oGK$A_W_d6{UHJVm8)y;eEjza8jjf2FXCG_PR4 zCh@iwo9k;Yb~TitKJ34lV2l(%0O!3|{X;F?7~O23op7DNB0-hV2wBH=V0ifG0qa`} zq8#b6tWDzGZv5U+4EDk(EF{8Ts!w<8XnZjhb~Yzxyt;YmIbFUyexjfzzP{zRQ>hrx zQ~bRC6|sthBn;&m;MnVft^vcszZKj-MDvdD=N%~ps2KQ7Y+GdzAmLc;I_CruHeN)o_Nn-smP<0>PPJdCA4goe-A zY86SXNeerr95srVE`hz8P>2=PvvYrhtkUz8!OU!lc$32Y_7{;n5!16 zkqM1s;@)VknNILo&2D3&34>Ig8!xLu@ekm*UGq*|;Ip4(;)b-}YkS25@cgMxJ42%G zne0W^uan1wER){@9<~Y^a-;PZro-Q#7zMyj#olpY_df0E3BbQbO~y|PBV-XB?F@w4 zaoSPylkeM{j0%P`xP(;8*gp#%Xa_-CAx=S7)tZbMo`G3aQu=mt-!uoowM&djG8 zwn*FDH3jhf?&Vr*MN&Rhd@3gIKp_&wwu+dd`hS12c; zd3{bXG z5&vsj4Yf%vyLj^Tp9$qD;0*iVcceV@Ok(BvjbXzjpA00RF&$7`a@-qU3&5tfLy5SQ z3I2HcFVSWa2h42^M6W4CKQxdE+FHG*8Tz3^MK@dIKv~~}IoS@(!RigknVFe!C0y_2 zzkkI3TMrjb5HE#X@)^PShW5(}nUQ+cKSNx%MkT&kPrT+y_{MCTOk`tZ2>*NQu~*g4 zF6@v+;DT&*NR7h}e0zw&fP0tvw<;=>$5EdXk?6?L2&|Dg7^iY1q&&pJ4_s^}wDQVn zEZR)azX&P>qHbNL)Mi4NiCvhe>vcG*XBAjMnI_TG9Rs*Ceob&oz z;q4IjStfO70&3}^4~@r7!XVnk9dy7I{I;8_DbRkMMxliE9-Q!v3^*1RDm(GR5im1p zU)nSFoi&Zrr-N?PY9Gw_6TiURs_j!swTX!e;g5(@tw!7`q)C>_XgjoPxiaq4&$N{q*cf69mi0<38a=L8GFuXhM#&qWvx-6|0}?Vn~|(Iupip- zh*%n9=PF92gjlRU;N|E&l>PvX;04lr#q9O6U!0%o54V?X7)?LO5swcrq7f^^1k-jl zw|@M}p8)fUx(^$UO0TRj@AtN2x}C3gI1I{-C!-N3-Jj=f)BgZiOk zA;gahdj45K!J#C%dwnZQtLYTUA>MtC%>da(Pxkk7_^@x(Q8+vq`4DO3w5qv6YND%W zwFI@FiHK;?ulgzU38j*H7m}bb2EAj{DfaDt0{L?8vdZK$9`ydiJeE0>SpGH0FW;{! zJRcW7P3sOR<`$Okx!Ir(!W34 zh2!ge;l`6W3IFjYK8$jVAyT!hgWPAYx)cC<8}jI)1!@}iVywApm$2^Sf^X43P4i>D z4%>XMt)4g+P;tHnUZ9UQ$kT&4tnYlBSfgw#MyDzmCm3cUu!g)+{~#-nHunT>w9Xb1 z^Vu!YnJC71cb)Nl{yCZWhT_b+l)RQv0pew^ZRln$J<)YvyC+!lRAHQKp9EOB)oECB zd7CT_q)vDxHEP)j_lX#0bW2}FZM+BBLAf3OO?BuY;^dqmFYs^G_`aQv8&Rh{y0K9V zEc6{n5d8*ReZbM+WfD1$#&4oOuIBRc3;}$2u0t;|7{&4UoF`@7MozaId%uEUwDPeZ zlmTSlravr64^sX9Wn5%o_^elsG1E0+j(!efO!O10rku^V_4F6rNvrw@UU79fb-&uo zBOqsAZ#f@Hrd<+g`EM=x*p9-H)wzsxVbv}pMlrfdzA64!1XV#e;AX+G0{Z##4%~Mk zZ<|hid8|go&wv#?eT#0ctg=n-?si~APb$<7nuFvCw1okVZy2&D*RiWG%(oE~!(x43 zc2`Cl_^n2%4EzSg0!8`n0P2^P7~@i)qwt`}>ZF2K-#(6}>iI^oe8b&Ce2n9dwL!Cy zz6}!9^c46C)MhRA;007dZ#>BP;&ku{jXOl~ zG9*dta^;~m|AP$@#YLz6Z>cu1xC%sUcoR`W-O>fM%1oTF%Ux5}mhUKE?Nd0csj&)) zRXsL(etD}_(xzIS;2CuL0Gr+R)EE<`0=rTg|8rBFvD43n*CX=xGBl@3AwAE}KovR{ zEJ8#ktsX>FEU*DHo0P&9`_nT4{P6&*LZ+WX7ZJ<)hr*cP`&&l<1%9zs`P=Oy87sdR zt**h6Ms*EBj%n@2Z4O-VGC3Vm`U0%Cc_yl_>t9;a=$2m`82GdURlTr>_ zmrg%FhZ=fd&_8eK{jAK4jN>P?0h6Gatec8*29XClpy^!;B=TtIQU6+eVp6xU<8a!pcUv9XZe?Uz4; zW7OHYyFWq9J}X{1C#u4r+zPG;6yGGOiIn6BTZX9_M-f#9Ac=A_7R0;o=ergMAvGR3 zT30JU*yn2#Gq}BXWdJA#vCSC`J;2=(Lz`$QXt;o(Ztr)mjsZ6c#d+eY062>Rz}LYx z_>6Y&Nk6i$4!OSmAm`(BL+&#ZZU*i3j?+9uUldM*woD$@P?Rn;wB>vu&9L?iDm)Q& z-uBI=-6d8G?#b=|KbNV;Z##$VM_Q%1y6?@JIBWu}ok|gH)-MM^a(HowO?I@f4^6WP zfJ3{h?8OLX)bqP3+kJRK4f9 z+LCnDNGhk42<38a>8h=KD*uYR(Z+?dk_ zO@MYmhb%4L10h&c+`3jJyt88g>7TXvbKryNED&N+gm5&ReAeq-7kfrY%%-O?S)=#m zILLA}8^NR%VrhaAEdKqpO824>C|1$w3>eh7A;yanMw?M;AM@flH}Zbsiz9M??N;It zd#NDLG!#bqXx)0W02>Kc34cg2O5-bS&ndp2)|#l!Re+WKPGycnUi-6h1_{W85zjR< z59qrhf1xfG&0F@W^eW!8f;fbzNRcZ_>(!97jrJ`@zi_wtb6k}-us*!8(@pEfxB^B{{=Y^0;rBUB~UOYphC#L3|NxPWbaVQDTy*v*!;iwt!10f=|O{;br_W za9Zau;rnk;P4;m72+tOQs}R2}_o@?RQraLX-|hj3xD~~ve_epzoozE6g_==d->ERn z@U)$Hw(;?FGT+XWhCpor2Ym~^#VY+A9=&`oPpj3$a9`i_g=80%v*kQx66G)=f-oFJ zsYtehRNeo=hQ`zV%i|QDuOZ-eF*y98Nz40CQlq<`7{LbkSC2 zeWRP!B3UMZn6uQOZiLb-ez$@wQ6qSig8L%1aY=+mB^Q1a2lZSw%ha*+=e?8eZ(2WO z!z=JT&@FXdm#a=#;kjR8!3RXBa5rERa8-jxH_@WEmJ7dEStXGn#3tlNgI|CZiv479 zJn==1dGC|MIy-0RVmNMN&rv7HR_faOjL1&zH`>41;+Hk7O2WQ{g4&JtdVhgb!ve;ykZ+QRb02a6V`NV zb7ExpfmS9~ZK6o=qRsL+0vyIu8*J&QgC<{YjSF}YjqB_jxUy@nW8{>?&8IfYkax8O zAIp>*)hl67GAO5h0iZ0)JwkML!roqNxiPHy&1QN$_pg&N0tqDaS(X5ZbMWLOdjX2L zGZplTKQ9I42C%b+0jO@a&1!;p>r?kkiu=V|=DR|&d@Jn+i5sR_=~F%_-S^U*+&`>{ z^tz?Z%ch&=c&1X2XeS7F5~A3Z8YASo!BFII_(*|0%X`QA{m>kbp)^RQbJU-Rg0uiG zek$Jw+pRi@P?G!S;&+LMQy`_N<$7bcl8{K=Vh~p1eZFV1mONN#a8fR~KB-PHC^QcC z2B01*x%%Tlu7_x3Nj{L6(X;2jSeSfw;M+-6j0h`dc09JeTjyOUIjmEi<&aqZW?3O- z9BYq5G>_<|sd+=$X)R0A_u=$N=DojdKkoiUqf*y`)l0jm%}?q^3T?NT+zHhGmj%E; zLB{yfW_YM0BmaR_`t5eJQG%%d1i;0D6JdOlN6eaq3fAP<<2d`g*WOD4uZHJ<)%sm9 z0n)JIax53kGVWf~IcoXP?d-OfiC8bPly6%XHBlL=C6Grs;!M_N4zu7S#Il{m>N zdem%PXF-}P=CCGTi68DsxMgYBF8)Z|%vM;I=T;~cI%w#MSyY|*85#j1 zXAnH~n$AlE=Z5nH<(i@kqWEm5Rp@mR81UeU^ zf)E!P|K(Boi~{kftKqE-~nHu!5+z{YQnrBH_PZ&5R3x!{@N^y9M(8nwYvgObu`jpRy z`$zIGI*rNPO>v~AK1+-tLj=e3%%JI9LHi0)itoGH$tv0ZkY(m)eWpvl1xj*l=3SF}SCG}!l@dvV%npfRB3G@hl{sx&Bx6k zN5+aclueq*4U4Q=k^GdHXcozIK_kkh(MYRbjCayE-I3N$sBLK79!f5j1pkAdXT8jy zD)d5EGN#SjRj0v|!V`Pt?``}wz+aN83ftel+WkBhOXJaxhylF!z>DU=TLZsFQNtHM zs!8i|NncqB6bMXyhr2fl zGp6<*ht+Av>vXZRzX*?*ykNjoN7UQR@X{;T!hw-BpX%H=OWR}7ZRSzW^Fm_$*kcf8 zI_~z>*FrIk*Qt9_b@Ij>cffk7#Y@GTMup^m#JjizE>PsF6{!`-HTl)tAvn!?J^ReQ zPzR1koN51v&3uLnKkg(5!`F>I=l^wtI)}Th7_ z`~qNa;ZNIPKV5+6%p&V+Edp$vZlk>PyF~1UtWGd^oc%-kJ5O^0%)o$KxjBGM$@1!k z{$DI)oIk{2`+Pc9tVlWgz(D>~8igwZ#GIwMtIpK`@0Fk_J>A&+1Wkr5EB1S+OV=9| zZDA!VM8`I8v0$5*9E3RhnA|mo{{*W2|+CA?7V&R5C;CCG&iZ> z7HVIpZIMQaT0&tewCavMx^Z(TeKUMChv_cGjs`aaCgLua@?w8|<{YY+wICW>DMtLW ztWm2@Ar(?R9(At?OJKy&L(ox5y+6eH+9~l{_bs9$yJ7{+-)AICMDeZVypG2$hoHy7v(sB@ zmw+a#Eskk6+|eU?WtIOX?#76y}etS=X|l!tB_wUM|`<5sa32s~Csk;W^o zO2q28NPU9?^~@-mdusCJt3Pp?D3O;ML(ZB~@a4eo0%E5GI_Il>5kukJi>Bq1&OVNk zJeH^I~FefQ8fbXy*S@6rXi6l46kk> zf*f;vf8b=pKFl67zBDFci!v06^Qq>iW{6IZ zO9}WltbRfnZPTUpe4G6WFRi!J9=t>YcUE6yHWQGUNI2GXCe>v&UlpczQ9R-&_xckb znm7+P4P?urGSHEB5*}rk+ccl2;jAY*y??)%*3WW30d{2pw^9m3DXF z=+~ck;zIA{>7N~8N$6B@=&xSXqUTR4aP6a!m^^9skK9`c<_N857($W1IWNKQl|?ny z%a<{SC_QF?Rh3QcvSN_2<=~lhu-0bWW4VRC%bMCH zP}Gr6B0!gt_n;3@3IYxnhbX*W#~)L-jy#MZSEc9&{|k&$Xhl2xdX#GE;+{9sN9wp% zR}$!H?)|@e?I#-&1VeJb&X7F#(HLXD2C7mu$~8Wl2Tca>>B|4Y5n0?`Zf{rD;w8MC zhi0U=v!bSjR<@q&Spp|3zT%Pq;ud4@t_>a*YXrp}6q|)diJ0D!Uw;@Q9`kbgjh+cT z+nk~t&dSgJFR{9W3cLV6(+n^4j+JRU)MsH$mQ12#zfEgwKja+SGN0#YRym z_SzY=)f?@^rwz`x7S8trX1%AA^#?77yvFY768$Ok?*Tz=evYvOzNNPp1J1kYvHb-J zl82-y-~1zY!y>RD#ogm{@tcDL@eqy<{L)_o=*8a&3aqOX!uX#u=#XG?hxR|^G?kX5 zKbR~@tp8j1ZgoE!aa-iE{E=GfR7ri0w_Lp_*5kmpQgi;~q$tKE_+r@wkT{-4$M>=9 z#*mygv}q~=R_P~PL2Ts$udnX%;oC{88zf^du2OUEBCPVp$vBu$&)yj-{(pqMWmFYx z*DXw^lpx(mOSec1ND7kDAp+9f-60_FUDDm`??UhUdCvLHJI?vZ7z{T1 zs$DME>$i&6Xx=nZ=OXccN}FjYC}@ zLAbX$G=%yC5ODdtAv^)ZH)0+FlR?XIq*h<(mJ;C0$qOj#VQyA05m@M=Wb5IB#iGes85yBffB`WHXXH@^l? zTlZLQFr6`UyzU*gK$%^_O+frM(}t7`+UgHQtCDgU5a$rR)L(Sz>hmQgSFS1A_1gvl zw_o)c`s$rklG3~VQ*Uc>S)bMybi@%4=WmhhX3VymR^E#$#WXJQK%VUD+CPt?^8s?o z@Ds=(>hGjEEdv?dVe&A{Nw8gC-`fCY5TbV19hraZh)%$y(1j<;bG!#Trr&(t&*W|! zr>SOt`r6~*ym&J!%Qyr_p7yTx3m1<$ZZ0K?VGXKUULg=tPqZCVbzy#kLNzSP@0c#r z8`k?gRtf;y3%#AJGRndm!0VmkvX;aoky5^0L>>ORG|cFcJ4N|3AfTt`$6+=GNBf`l zy$rcBFI3Yp5HDtXq2y^7UQODK!QrQmjOW`027`&7KM(d1;lz%U3{1+~8>M~=xDFbb zX+JI%w?vy+-s73OvdJWW4gINr)pJIPYb^~Fk{qf{jgRK4m(fZ${j zPVNme?R;1hses#S9NcyZDk6j(kv@6Ope@8AZ=}dllSo0(1Tks(rVzt6?GAV9F^$7z z;Lo>u+kvOMC!BYPWFnK`Y{CDmNA?KF52l#YCmZ>#!Q%y5eHu-|aL~%ROH}?>g1{B7 z6#Bpik<>au@Wv$9-n2}Q(&1;(nvG8R2dM_$Gcd<2(SP@FfBPtr+(jVZTB-EYvSvoK zU9sY$+!km6I0E5%0=5YIGk;d%*^S2`ET6O{Qz5xz%|4+jB zzjRRq5kGAg`bi^jhZ-_`BLV`Gf-{`L(pA-FI`dav8-wvDBARcpEk3d;7`G9x0TB|C z^Y8X`n3y^|=PZfs?25=VpQ}Qom2xTF0hV8uSg2k`X|jr<;Sl36dzOJ49v#49%Clz5 z#h!yVz=6hvrPb8=0qU=J-Yv4yqDwFw_ z@r^*p;_raA_NbpS+N*THO#oZYxw(#hK%V@KG2aR=AgE=@K*_7>!Q}8Y(|=JQqtQNJ zPo9&YXaG6{^T((aV!^PpPx>Ayx*HLYw9l+bkG&-E<;+U-$TO^xZ%9uBFyzRlqL)n2 zE%LCEFwQ(m`EiUEe>oIzI2}|_;=JoyS6KyRNIdpzyhK>?!(WsMUUHfL{TaOqVR9PG zIbY{XOv)hckayX#{Jy)x{f(c_f0y>Z=WymmpC2pH71{#!6Ts|!E$w1!-fjr3PDoqe z5%(sy1lngdk4=w(V$i|OnYX+}#Z5<_MRd^oZ3c-1-R`YcRF-kyuh|~SW2}ykgR)|o z%TE8Gzunl-kebEnHTC{nMqU_bIbWYfbOE7rNvQyInVIKSe?^?QxCge+bSRVJiF{eJ$C4eofNq+?#O5J6af>KA27g;NxMP zfI%TK_0lwAfF*@;j`d(eHwmZcbVsA`H?jtPb*_kW`&q1g4kP!S{hhz%q$q#!a+dad z5?zijh!CFF9m(O9uqn@m+KjDOn zf17$k?uBe3vM(JsAo}uU|4BkPpM<95%H@26e4@Ub6=f7?;rnIbTiRdP}2n2-_kTBi|kNBAP zJ{Mg}o&n!)$4bD2fBzL2_0_+>6FXHckL4G%o%4$Iszti{=k)*(k}e2nX`iEAiD<0u zEkXR2ul3WSa4_{kz#!dgDjbUB+r%#+@yiAX8;`60@OQ#fm1>fA=#>{AefdELx!w_X zHsLP0n(e#4LY58^mL;#}=>U&NhYlFl>_Xc=1WJm}Dx>#2$~a-sBCDAWmzunW@9+Ng zdvKwEg64u;VXO@~C+DAjAw5K+O^ZuFa%w1MlzfGawEWsm)w}BgjTJYNM6lFlB;uY5 z89`ho@}VOJ3J(7M5T6Sr2jb@at78(Hch&8M&j-k<6qFWX>PAGwP_i9FT1! zC6My))4xgUQ2CuuGo+2C>BFw*(@?dP*CFKzw~2Ei4p3CHiM<5fa>>fHSx6_5C6cnq z(}!`Tx1R|FC&gdD7zlfxm08O?K4(X8g~G(1kZR^Pi~Z!B15yos@)5*kdQn6zHNGq! z>o{e>N_?-|m}F_Gf0HW|RUMj=2AU1&2*hwJx&Rnt=Vr3nCi^v#zIL~Kj=IY)Ergmy zySRE`XBZm1bo#a=y~-TCw;1dVCMV(W%uRk$21t?9mvA;+Pk*Q04~vQHWPZ=RrV~

y}T^(kHcvxbCyjDJ5-x4eF-dN zCLCEFWfo)+Xh!aKK;VNm>)T>`UgkU-9M^@bEAOXdZc$AMl|~2m)|Pn^eEe<6;pOP(6<*eTSgk~R|;_Tv9WyhxNt?+GCA6rjK<_cO>-sa?G2#c+l{ zw_6!f+F+`XE@~(seC6gD#a#dO3qhjrW}5<@wRw;S5TK$8HW}f@t5|Eo4GDQr@F;`8 z>p|wF^%EM43Udg|)z=u(ZiEwX&}fuap6F60BR3xa_%<}r%AEHol0Owt@6)UkFJXD^ z#FJtD5%92s2<$Sf#Qqe@&!Y(7?kwO2QAbVD6u#sPh`nlw_U+fSkun2L1f*WCf?oSy zl1CY)eii7%#({g=Zqc?DT)FdzYBSQA+(O3b@INb$T>hM$+dCAB{w1g|1UFf~I>Avx zTd6ITCC_*R_qFYg-1`##FvEjIaSFH(tV_NVvB5Qe%SdPHN#Sz^mo_l?DYh+=Ql%9i z%wW0PwTGDmV|sgh_7N=)oa{= z=UDr^T7dB4YkWGafyfcysoKv$!>pD;wxbmMoRH}zM)(1X^&`StOgS5R)-LC(mDzrB z+{>|2`94t_DYrp8YSS0PA_7to}T)0_CDF1*^is zr=a8Ir1yIf#WeGw!D+K!tD`IVpJqZ@4L0x1cH^Qm;z$1&2h2$pL!OP^8b%(XlP_`= zbpAo)>EFWI*?3MXelEV8A%dvJejfjar}I^e-2R~~O`2O4H4lEWDGKAo?ASA6=%WiE z$ZIZXz)>u@52I~9h3t7CduxeTU3}G-ff5l`sLo1O!Lc@s$^H5jijr~&Ui@l87G_%s z8X8)}$K1Qm5KB~jLYAgGqx_*9$^Qe5@7_&C2z37oVRh`u=Y?aCYx#v=9(B3KIfwh- zzv?u`$S%3ctD@Zs9t<_I|O_w0_ZVroa&$Y(7^yl7G>Ut*8==r7kk@g zi)vUfIpNu-EHQYl`wH1B=}5LTUXY?hK}sPlHt7(t?0`cvJRi~f8EeKeo=;-rSU#cR z%ODwyWAVD~8y%jet1wPw0Wx#4dzJZ})p_yN=CvE~8Iqpez>tImG!hN>oEfN_Yq!2J zA`)ABbLPKiR#A}h4@nx0heyTj#?`dMGAJLD=SNHI(1jdAdO;cW+;EaGv%y$G$Mu@} z`VjU(lly8JQM}1Jo~e3TRC(w1qPtzd!Bl96%dt3Kn5VvgUJ7gj5N%NtkHm`xbW{ok zs`$rwv+1?!(o=Btz&WXF`{mm0HPF|KF!^k}8iA6_=FME!6jwicQOdjFP| z>S)N6eK#ZB?no?ND+XF;@K>JJ4d)dPrw0*22fQO|Rj->WvCnuU2oJvfT*4CgE$FTq zK*8tmn{$Nf$Lq+*-mrkk*WO6uC@`*13icW<17Yv1!#{p+MMJ7pks$TMaZn3zqw0QZd0Oo7fyC2bdZ%LtHn&;O_I>=qkjgM$L z#oP3?RQ3q5Ccg^PT?1KSiP_oBRW{rmWSFwMF}o_ts3yoex80}-4R)K+h2rwX*+SgZ zP*l_8F&epn0daAC>Ih+Sf0oj%O`VTkBa!{4W_IX=xb-7jQNh9#a0 zcjx4+JAq-OJ|JbOsho2C{mhI^D)%SKTJ>dTv%~yy@J%Ub!fYUJaA4&T!JXBRj%4DB zH?c+m5{Be6>drpUuwhovD{ykP+_5`JrG{V$P)bkgdU?!P*6lw@cI`6aJS~x&?gKiE zv@9%|G-id3zqYY1%6D>-rE70HNBXH;u%Ri3$)GDe!igZ(Gi3HDc~muelOa+E)CoG2 zOSg-cH;4?&CxElnr`CA#Y=mm;yhsWC(JdREs14|2Ir?Bu?ECKkKSEvRM`N*wpKe@T z6!zs`87`jPwmez=3Pb`^Y;Fhwg{)J7#%BlWhR0JZa+tq|2@?ZaKu*l_yg;`nyQx8W z(PK+{2FTEFV0c~m?E#(kGD_dpd0@1}5O(fI?_T3DtsfMsp$MpNj0a*9xhMLIhLr)qthPt2oT^_fwTwVXl)`2E-Yx zW4}-zZEKC2dZ2DDt=WGgaZ}EU7Kgeedb>-A6dy63l=hh@RLW=Wt!%-R-uY`5ZJA$i zD0m&1vFsm#y!eKYj*#==!45r5;&zBsyu=>AA(^l891`*QTIPp~>k6hAjgAkK*IUWa z{Knp$5K_)r*C~6mD|6&jSJMqqkZ?EB=Qg|D(E9V7ns-J#5*7QH9aA=dCS9TnQ1@b&NnjpGlaB&d4qp&%{He*uRF8`h zL+^VDZQ~n!->HX3+bjN=7gX3J>(Xc_)vtXBdZ(6%0kIQEy@uVS- zfBnx%3G&uh8*o2OUh3bbC;rMcsZK>4lXq^fi74Yc_K4A4Mj)_5jci^$$>z9UM&YQYWh0*9j34~>Aq)1FOe-p4+RHQt77ou`Uw-u( z*hQj%>KAyZS-t8opm$ZyoWpoSs^fqb^a28cAzuYxZD_i-SY>_|R5pLNQxb~RJiYYW zq;$#tVehnnm*+g$UM=ufXTAl=Nt1eSFTu~HU}xp@g6U-fl_yWOSY1U8M^-F>l2^ai z{gjtcX9R(gJ-%z9C!Blg_ATf5Pu_DbbePYCd?85BMVF_V9;!%oPPM5e2BqF?g!!s1yuqElpx`?FrxOvSMn>laGYK-WS1+V0m7(Zb%N=5#f@8fL)s-|7UOjicoWQUyLQU>FXTjKLeQdlS{8d!8qH5N}qf{-{6 z(L5Vg+_61elek8px)Z&NxEpQ%DEGXAZ06i_x4{zB;p>u(GkrQFzyi7J657jK*0gGv zh_Hcluy|rUFA*UmvJXi^8pWuA!*vqgb=T7#L363lQhu%AO7YKoAq+=}ba$Exi7kNK z8Mh!4;m*_LHk8rG|o zCyFGQo;Nd4osb0C+sUI}9m0N?=vBdeVkoLo6OIjk|MW4!fm6L5)SUinP%kxkm#Dv5 zzf3A_{`NYv?T8X;SEG6s%RC#`FuOn@RF4lzxj!l9lpaQ>^yBvRn#rgr9I9_VIi2p! zXu@7Q$CXV_(ZKzZDE@d|a)FM>kIS<8f+E3n_2aSCFvi`?jmY`}cGVHgZNxMAP7@^c zA6>+ztVu#%jqV3_sn}eERDhF^&`a3mQOfGB#*dU{S)ISpV}j;)KDR>t>HG;|z5`~i zMpkKN;cxPSvI=MLI-+vFmin_hwiMPQ;&?qke$!&)GXaOh!OiW`{x&HchL&v)b-D9# z(?&&pO_(7($5%lPxp2b{vu~=!TJ+$2myj|->d}(W1+Vm6_R1tTd{LQMjh^1GN|gE- zW@R#*Y3F`-{Z!P}dWZG6QW7LSU|p5RS1VIWByHS}{KzWL+?Qd=g5#L0Na-S9-Q)$# zfLd9ux+^pdMZmD-`h>A03Rn=RHy#DBsH2zH7}???A@q{QuBEdc?u^PX$3=SV89qd- z{oMs{`^gbtmPR9SU*a)+0kZt^9|w}Cb+3EX>`!Y)A`-Q(i@ z42WXuGsfS!Ah{{Fp?WEADE~Qa3Meqs_D-QjmW-rLe4)>?Uk{d+VI84h#c0rWpc5e= zQHEqT`;{u-p4}zbGa+ZTq2a(?P8(tkluF*g*$oU+^g{0Y(3rQPt{$-CU$*FHWf8|`DTuucbxYyA_upOC?%-mTN#ibsfZ5|QpE zr{j+6i61#N-G0078ZyoOM&s&l)5L2wvJ&NISG1M}x#YyLJi44)dQe?-Kb1qx=pq=M zjX;e2&o(1tPJf7z8~26K=yzvEyzIqUNUN!~osf1psNGs$7DJD}J*@K@K1LJ#epSoR z=TkjzE2H$ZJy4Np3}gpMF%1Aup4mir!QeaiYFG9eDCV+&xtMv=Q3l!fp z@?aZ^kiQTACu|>kjc3(qpVR%XOA;W1+4W5v9|u{(eh$7xB7+I}SuYSj!^(&SNu=0vPyv!pu9SA|D<+h7;6C=-NE3H+GY$ zr4I$EY4qFQP7Pb`inQ;=A~1rUUH4i1!l(qa7ewH>WLk=CTqWy%oq$Us76}8h{kGoL zSUP>q2hSM1<_0|G9ELE0WDa zcz3=B!o>P$xXFiU7#3#~6_l{qR_co`pc%Q3f4yJ5p!#gx=?f^?CTgBi+;~ZftxQf$ z8LPV0Lk>MJ>tGlq6BAyY4U3fn%a0j7KeYav5zpKGslzr{vWWj2x7T`laC$16fbyO2 zc#Jo9S`bNNX;WR_RnIxr`TFRwtpc^uYNuq2>aU-Ts~25&eLc-)u*l9=#G(RF`PTss zQ1Rm~PECg^ErUG5p%WQKeXcq17Mb>LTpm5oC_Itp@%a*Npc-CSD8Rgm^IH)!yg4Iy z&)pJR=U}^g#P*@zkMd~moiP`_2Ir&e-#rD?jaLb;G1i$~w?tSGc1hdBD7&KWhuvsK z19kttUlh;hIfBRP%$}Ei2rpX%=03YP2g@T(ktaX%%8$jbZ#{@n^M&~CDn#bZE=M=8 zqv7h8nfjQKVjYm`ji{&~=GR+mhu+NlQ@{0bAfp+E+ls=?h0Ta^n^jXf903N;VSBrE ze0W_QKKFAeDD8#CH+9C8>}{*;VmjA%RX%|v`o>`{>Cewj`CBd{u6_wMWEtOxaZ96cJ}wnT2{aS8Hb*|BD^oi ze4T~8s!m|y@n1FY<1^n(q?4^q!ZMR$>-WcWPwK?dRtJ{OcjnMYi9Loru2wV-a^6O7%N9VwZnYz^wBQM_RgkDN_Vg~;#BCg z@~iE5wB%#JWhyAD*5H1+_~)PdlOT&x4v&t0S=$1mnDlvcNM@WM0@hdvdaP5CDN@%4 zJZ4<${=hB-Y=@@fk_Qh_re6I?Hx&k6{{!f5GlDxZwf@MpXb`%XPCfeI?fYgV`tc=G zFhk<)vw_bkH5%BSueHEUW#XsfP>-PcObOF+gAuEo@r&;Mx5)NT_A^7|sHu{^#=*rI zw>vluPNbMMp&%)}T2|{mmuC|GM3QYCOQ+{*LoD;l>&1P0)L=;C*wFw=a%7|`8 z2=g%lq@((;m-}=Vg~IP=%}US?GkLsj=a$yNf^y|nDdWcV6}rYsW-oZ{$mouCz>@Tu zNcvNSqy)4){P554r}d}!yI0NI6wBx#1Sw4(8$Wbdhtz-B|LDC+*Z@#?bxH4W*=VHa z8I_9VnAPGq?49TCvQ^x9SVM~vkE>Nsk`qwDYTqQ|MjRm{mMX1cppyOeQiZv8{VCAk zu=@b2lFBD%4NJz(t)O=Mb0$ER_5rII%NBSgeF2-yznkb3#OLIASSA8!$_ZOy>piro zm64&K`RwuD>;8OWQqwAKzq+sLC6ZY)NWt=#O;$D19&jN(z&8-^7^}vZ;)2eID^L9 z9O94kx`ps35EGqlAz>=$2OB~42m_rX!AP%}I80RbY{OctBWVlOl$lgvl(VgmI?E|) z57ypq2+*&w<>0RoO_Y%z+9>e!R9H12te!s4dTp_u!S@Ax_}t}}$jNr?B=fS4 zcw0awQjhp%#7LWeV|qEsOC#vUvtS>iIXp(X60Vz~FX;k}$IqdY&PI)U`1Q|AFAM{R z&bN+PaRJL0wzgP?k1mt*oz!_5nok*TsDW5eEK;O3L%L{;CfS@4G<%#_De>;hGbSQT zFRlZh!RWykpyA7UoMrNN+j~;{URjBIym71yNFR=#t&sZ<*qbxo!fO*>`%)1+PI6v@ z8KxJIQz3|6d1HobZ~MAI*k#@D4tbo^!f>3Bw{-t3CL&dvh(~eR1K)cOO2M4Juq(_bNeR=VhPK z`FV3P2b^BmPGT^p)Z~`ER-^5-P?h?V2y%i~d(?{hWXa=VMv@r}M0k3F5A79$J`%1?|!7Q#W&eryVS}Hj#&J!4g(>kDJOBy*6G$^5rQn%=XBV z@|J~%3SG$Y;r&B_<_wZMqK?P(_Ki|EmAd4~Mr1(tk+wes#Af3zjHN6TKW?4l72kp_ zNIHf^q3PsUILh6*(alZW+B(&FSPU7v>%g0QQt~*)BU7rsZtM? ze{T#~_XwR_BDJ?Q4TlH{=47d1YMp%Pp-baQlh23!5eIe$p&E}3in#Wqjd7vDq~`RXhRehviJ%$9-+(rcyZb(Z|S zp!2oK$w^k0tEj`Q82K;M+A>cPFsx3nz><1mHg=)mKsA++1>l>${)5GW=k&KwT|gw? z!y3d@E56~b+|?{fqh-)2sp+vc2Ddl`sox^CKsvZVgbZCCjn8Ak`sCw0ELG{;L0wP7 z9d$WdZCz7TZh*g!G znw7=eT+_S=WCF6^U)6qaRK|Hh&^j9l)%D&$1l9KdP(otjm**YUiT%=qWq-$*!8{6* zlX_hzF?=%D8C%vP=l$XEr5@=2RqOFOS-O4jCTNa^?<#c$_OctWWLMsWz^;_*Ga3g# z^o6gnu4bni86d8AY*oQLZCU&IDva<%I1%%h`fV5%&+$1Yu|;yedrZ!hUoC}g2+2J7 zMM!P^+V%ymFb5ShYP)n`5i=Ry~Z#_@2KfcFO z#ZP##Q%+3Lq^9kV?G7@%o}LvzrUA9XcO{;nF<_hYbiVdD>XcZ|Bq7|qv;~3B=E&!7 zc^cd-jMT3n{=~k!QSB?YMLy_-_|%Vi_+vH)!CvmzG^t-YFSj7BCWPSTF)IDE^=1F8 zRLon{LyySSjdyu#(4w`)_+&8%L)2ZI0pAy7gHWC6md++k8%AXB$Ii@5H;kI61BraB zh_BFmMzA>NKn&M9s8@Z~&j=y7jC zXun65cP>mt^2g*(b#X;PSxc{F*xf+3qDEH>PgvtHIRtG- zABKMWMKm0O`8zRi5OllUl09B~nHDVjC>0qb46q&k8}e}?p&|wYR-3){uXW2i2@6ms zB_KyZLfbYqc)bAK&!2>y!co6(IxqRz3sPJ>zsQT?oTqpcy8&{uskC{Z#7PC-Is6 zM+{j{+qq(S?YQpXmlAW$GED7VD5JTbMa2M5+~bJF=3z5m>cjPr7lJ%WsK^HQj_v)1 zfjZ;##%A=}KVR(THGs(F^r*Waao7RH#mu{5t-MwI^j$P=_+(a3si3HlBnftQ4x%F> zB9{3&;bq=f63|PKv*`#lG>9aIbMkOu5R#(!UFN@|lILlaO!R~}4GX*Tu_M9l2J2Yl z*2~&;rEYvqF8d4zb9K~*9Ud-xjS(+N;dRGV|2FseH~BgKniZCy%9qYgS}Q!im%4(? zUhcOVMr`jWrQXCg4b&Q7;CI$p*4=X_TYc0me=sV`Ypz3(!+r>i&WOKZdwZ}WH?6jr zUB>OCbi&@#wT^TbNqTwI&+%5X=@&o~AN$5B*zXeY?1$w-_z`APtjt_$ z!~K|8d6<8sdv^BrD#zVTAuK&|Jc~FvPhf|EcB&GnQ#ttV?TxFJ+hgQoOWZdYT{({@ z)0;HvuK`5Qv~+#owBF#f6eAJWaB7umg$*dkK&*T+f__#%D6*&Ah^5a!h4j@%tkOF8 z^@ht<#=j|9I3~;kBLIgk9;qu-35Vm|^=JJYb{DosT$v;?Gu&@>!s7Q=;x7Qdw z&Kh{7;K-QMbUQv`2$~?>Zox!*?HQ6Og}H8j-i<_mxlP_ehD1B4*MQT7*yc;#Ne`ga zi?p;m0JajI3F!U>*M%*pthdvHemya0)2>uXy_Z@S$c6;e;V-qWA`gk|n^Qv%} z{Wwm$*KiVKK93e2j}?Pla11@|!&$p;i0{eC%vK6hfok!)j@nCj)IFiwnIV*$qGw$* z6~@V5$kV@26VTRp%wVfL+MiF%o+B_La{5;~<=Ua52N@HP&=*&<+6DBV+`@%-y&b0Y-&R`BM`As{S70|zHnwfTJ_;}ey(c67#{2-GOx$c;;bYTlrgr#;b5Rp>VM`uVPp3`IN2VtI~JUvy-* z)NQ{iVcBXVL;N0FJV8+siu(7u&n;8add~o5A<8dT)a#fKl^{FAUO`1g)-d=(6moAW zV$g+LSVm)Ttv>bBdz45wDZWj!B7Huc;>-Uqsc!fghHWx%3@FB%>9*h!T2mgD(mns= zCH1csfO8LZ0-**FqivK`5f`ax6N;ey3p0d@L#dv!W1)&_nwN>Uq=CE*6!r^)5qv?2 z#4=jDXNO&6PVdJLOo5IH32Pm1()3vVPt~tn!9Lb!56;wofzlHSZ{{w@!WV9p=wdct2-A1?l$@sk;{?>!-WvKZKPli?)*p8&C?0vkqDLLN zZ}I!xl*A=~etOul75OhEp5;dX2OAkoorG9eqOT_${0WIIn9U=vMohcF+s2*dMCVw? zCM5wH5`ED36TM+&W_45tY?obS60p(q^=&Z>W|0IH@#f_{G_Wq&{D1F5EVR#~=9A~m zSSrd*;lTkZ7z^+cZ{qm^h#qpF#w4#`8kj%>_NO=E>s!DBp}2ynR~3Bs5?J?4B&~isSw&^(ZHs(metlW9 z9LgdEh{J&6W1rIe4&wz1cmyNT6UgqC5pBT{?Ez2N^PyL#h3<|+0{dnYOx5$E-(64W z-)Ei1HZE^(WqRHjUU%{|Vg+uX{d=eXmVJNs-)BS=3gsC&-PM`VO>g{@LV}ue2RaO+ z53`j!Mq$ZVafm+lFPTc?*O~4HnhYCB3h-4n8QbZV5!y!DZpd~a@3X&)Qlt>YGQMJ= zbCdn_P5DcCM{~;6$9BxpwcI$(a92zriv#TKs}=l=r zuvC~N)(vFlyl8uMo{RNlWe?{E{8m$MJHIM{FV-8;EYH9H0asS7Sj#jf1*8gtFK9P7 zeBoPwnjNJw!#ps`IB6K4KLr95%sh)%c>RzKE2jrJpx8x2WKpTu~L?hY#NzQdVoc)CQ(NVkcwGX^l>=gBD7L&bdA2 z(g`m12d^X8zHmixkuw_rl4U*?CRH7I#@}5e3d!slvvU+`K?VAV*&4l7p?v;dr22ok z%z1EdU(_`iXclxRWbuOcg(Ab45UQdt{Z6b>r!05LhF;x=FV|*g8x0%2ER$I6j$=9y z+xWaJ_W+NJO8cq)d+8+mqdiEs*#sqKA)mw)Szjz(fzmH-#8#bg1&99Ybt`I0sDQIU zVMR>bnPIZ!m-rhA5IxV#!}^mtJ0(6b>T|kRDqg8ekZ^yk#FrNN_Og3OrG4t!%<$cv z?_fAyV5tM8QY0`iQjfVfbvpnmho_>YT8BSg6STGvfh{zk^hSeNd7dU$H$+y2KRQAd z!7Zd<_w~8rP~gBnS~}Y;0ba3%ckf5 z2k>0rW&K|Yg3pQwl=Q(>8r@|H%k6x^?I780R4O4cHU{b@Eq2+4xhK(rWDOOZDnBY30!KZyK#RqbD#0Iu>@brSKU^>Ido_$k<7( zO8Y3;Q;Z+;uzI6P9oaEOq%d*YGX$+U&wBK&pWc-X!io8JkF6&rHEjH zu3##tYay;u9n{T+h6b?<_tM4v0?HRT+&_qZIAV4mdLit(^~Rae4P{!o{8pt_ zqidwe?#zNFC~m~^=87cSRa61q(U{6xa>GEX;=L_k35C3G$TxImJ?7oXib*+|B3%X@ znJB-;bEaC*(%i*=_VF7i&)#9yY-fb6kELFRi~FE?s=vRP-x8!%fZ;uAF6rxXyh?1I zXEmu9;En;$t?HzP8IxP_1{tvmAMj*0H6LCH@0}yEtPuemFE@UP8yQ{s^tX#^sB+`Qe;=-U}uk_e@7(bi~E)=N3C&O>> zvhE;1$!X3uBA&qSNA>0%-6@iF>1y)jD$5%UaN4Ru!4jT9+&I*5yFSs=z>Iz)DN2#& z{=-=I8cEm`qa1L#Z{GbFPm}IR?@UDqRfZ=McMeGL>Hoc_^}&+WdS-mwT(UjzyR(uQ z63!GPmZL4NX-0aQ+#)|AHa3qg5vTSg#wDOuNe!lYG>VBJ>f!q}oSn$n_Oo?$1Gh`f zpWDs-+bcm{Z$USp5I^rsO>bCVtDq|gDA5#H+UR$Jz8D>v4-f$C1uz|bg)#xrWE{D= z9@;kO>^CsL>i|>qwaHde4{omz%ohFazot+ZD`H|nUTB}#H6nE=l zr!?#b3K2HVIC9cN@&J8IZZN$lIjV;F!h!(1>FD#XPZjr$Ywb`pi_KNE#qR6eAd9;9 zY@N92FAbJ(d-?qs$!~`1RbgT1lyo0pmHpahhARZ!C(3wJuCv-l*p}(2qU3YoyI>@l zLRPO?ZM1<-8fW+<+12_g)x8iN?&LN#{5R5P zxa@bP1v?-6Qfg`m_Y_~7;k^ty!+$I*bC~`w&+y-%@t^beCj+^WNK0o^s7G=v z>MQeDNTbDZ-k`uze<1k!`R<0fXVfl|$~Si?k@PvYN~`gHs)6nOot5+&>UM0$;nmHsKcaC5#oe;+RbeyQKG+azy36`Fu}B-Es#Gw#=O?~ zIY!%Qj%#>f^dt!cSDMZSnK)>+-YVysOern!tXXymb!tI=<~2~ zS3QI;5*u&H!~0nxxN^TNcgL=o*!plDZCITc!#(x8c_~sv#d0%8S>V_yM6uNAzk(nB zpN07!j>rFYR{s1TEQRDujfN+cR;DN#Uiu5WGo$WWs&GHH`MXG;H&m>%wJ&C@W%>Fz zrK_9UMp8iua!OU!xsbgBa1?sAv$N0U1{ZvYk_tbWGv4m?WNl-AnD6X%+fR4%i4`}{9yROi9uH;8<&yOx#e zgu+UAcxn%yRZS&m+JHq)*~_inrTJPrY_^;XJ<93-@H78I|NI}H;(srRv^bO`nj}Q} zbBR*qH-}kLd7n1!Ntw^FE0V;}bSJ_)AAvPgrxm6&O+C;4tMnB!32XjR)SZ1zI22jJ)dA>DA7{b73&ODfvFU*3?Xn;mE(;pv#kt zK4E$8l}64h8CQjg7&j{5Smhq zgo;ANujwfcV{?ynMUowoxfF@QX=rG`dC{rSi7#6nuXfmi79fIT;3xV5sS?23(iXfK ziA>U^L;ms`2|Ce!41%SkxzY2A(}(hSQ$vUe1GV!V0aEiS-2=ICnmPKexBTFICUT{; zUOcSRoCnX0eh^8&FL_a{s>IA^c?QDP2Sl=$;l%VM!puHQFLX2Bh8JW>i?>8Gvf2Ji zi4*=GLgK&s@Shv#qc57)&>%p&S(CiQ=X0%~h?Mn?UTOWfmk)4|<1Bv8sSfhqKY7&B zWnd_h?MI@*92uj}9hJA#%IAEO?*eN1BSa%ZI<%az9rB@k{2WN}uM=sh081_mL=Ijk zm}2hbYz;P&<{@j|OiOOLMDj4@uM;5+2nD$|F2~y|HNhi7|MwX4--7ke?TLklrZc<} zQtzSnjqJFFSaPP=444dD& znRVQRk<9~3yLE+b@m^o3Fr$aefqgXFwbS$IHztb2(NpiP-hO4LW*%3~QEZgD%Dh{9 z8mnBWbz1tlkE~0$gL-@>%1QJgCRaA1PgT!{v7ONUUN>t#sMm`DdNOZnGQyYJ@YSnB z{Oh;j4$V`!6wF>$6Ab9f78VwKE*JG{%c*c?1ykw7;oVV42p#J}Js+P(JaM=_vt<>8 z(Ep+*OejB@Jw2aFzlJruqmHJq8Iyug?$~Qok2amDno4CWQH%Iy2H6OH5W|#_UZb8M zg#lWRrCN?NMyi9`GQ~iGa<=ceoiY}Z^LyX+bq)N&;B_{vw(w^73gbTDW3Ub+#1a6U zW|~+FRN_RN`vOP4pk^O!jkHZDk0q-9Ump!{SXtrHoJV!}-X!#?@Cmc4b2~}HI2OEh zd=*ucQ&9JEb(@Z^_&Ie~%d|SqL4l{k=aV5C>L9O7hTZ2BM@R1W6Uo?gNlhB9!7_rc z>F;D_gy}yEMM(?yjvJ;VdX3&ZW0mdIRY@~2=FN4NULi}i!`)&vfqBrM#^;%Qc*bB> zK4NWiCE51OC6&tQ%gI}XpM~M+uby=a$yh#pkothss$TWN$IJIsK@>*$kEcR35FHhK z^nB51Y8fjdk+dgihUS<%q1o>vx2eFQ(WY4Y)fNZ)4@L2gOHB8C-#4shbSZ=+PnuOi(@5raXk{s$aL2F9+c1&;c8Yg3wBi=(b32 zqVgJtfR(NI4R4G-;qQ>vh=2>?E!vq+uZhvmWd5HIKw3W%ZwJlTU2uD0-^NW7G$D-i zFO_Yz;RVr`DFZS`fjI}zRD^J@sX)M z!3r!XAoBrc-@Rb4c=ZNnU=SWpi`=T|-tpWxoR5wQ#scg3D#3N`~5EU#D9a@gO>&l)tB=~ZA2-!FvrWdK**rXPOtg9REN^zrgoU*{1x$l45Adr)^ zxr@;g5Sx=`h?~3^rDVE6oFDeY#KR*9EH0Q>husJf>h31s_^AGV&4esg;9*n)BQW2~ zu~4*MHdAiBeGY%zqT%KB_V0VWbFy4;@JQw0rY`1GJ40QgQ~(7P}usVk z|Ga#X(V4(b3Y7+{L!8)9PY51ZdRv)1s1p1^1QqqSt<6`Ue189|SY=T?Lvog#T&xr6 z+t)PELOom|$XMARViL%?B8&!#(+^}@;9lQ_#qlgIqwlqn24uKa2ZmX!h6D9wDxKt- z_<~@@+C<&cL5lZ1A(%TtEKk*ZNJda?y-M0P;NiM3(Ma2CX`R6$-e~0a1HdEZ0%g0d zdL)R`pVODr9$??Ng3c~+3g8XX_65QtYh>%kS&Z|dOP)yMSeE4Igab=31AbozR}6@x zTqN2!_T^$|Z(~G%`RjzD%jZWP?!^U&uMpw&hlHY6X|94Z-{db=@qZVfNQ{>p_qzr_Rp`L_}#|~%C;w#>8mU3l@FP#8Dyvx z38K!|tOnmB7_7P?W#AT&FsETCM&qG$d%-w=+l%EZkm##Z1(a?wmhRR3tTJ;WhOjP} z$U+eb5)Z}zdKK6d#<&!__Sw~tQjyIABIq$h`3(iusv52Rn15DKCZ$)CKvH9?{Tzbq zT%Prsep1->VnLr*OBbHfC_a!e@jcC`h(2X(zR zG`)GR0hw0ZS>*tlI&kT|gV5RYd7`v`$4rRtJSQ92B=h8&8|>Sy4$52d2~c-%a3GuD ziF~?R{B`%$V8i&=j^+=wG^No8tq~G4O|O1HnLCV7M4QDbWGzw2jwHNQKiUa$ZA9)= zfv_Bzaz@MRDLt#s&^RmAF+xQ7h;OHGOOU`(ACeA+A6lhHeF=j=1p2mPNn!J41dj*I zztT!}|K!#{xkBIP0B%ZRzx`32>qIiDfBDJ}c{#Q=fndC$kA}G|v$}Fz(~kn*zDRpm z8`0m2aD#*o*^bV0Z=$j4ABA~=X!!%&`hhRFwC~K@(It{#)e?5L`sh}Od4h2XY=6vv4>1h z;p}UOc9U}g8(%4XuOi{~T&h`zTC6Lxx<5CnX~V^|^-c#Qi2>JXN730;%ZMff9LKy+ zpk1w?yyYWMtHRICp=G+=s?D(Qpofa|6)%-n;tG)}x&d!7I{nqD4C;+>DWcKfq@3Hi zQGW#%k)Ps5UV@b@vtwr=R;i8-k+tbxMQQu*4Zmt3uD#g8Loj$G9gG@beC{nVFMu%Z z7Ipne0Q4e*j9JEwCvw$CxCaCEIDN%_BD&!?$nmbC@_X2F3xI#6kA!dt`ZA>(yut6) z{V;b29|Yk!C(DftwBp2)-^1$)MkP_Yv}#JwQE8f~6mE@A?ydz$0W#JEu&8dff9(iM z=p&--p!E#y0&;C>a)ZGyP9#o`7M>sUZyw+E0l60|pc)UKEF!*^e4T^JM?4H#9<-zW zmK_jhgPldeq^GdJYa{pEnFS%8;b3m)S#Ev^;%PZ<{yt{(%Dq!(@RG3MEMR2A1l6y? z{9%Ng;Wsl#AS-I%Wnk~(+UIiV0{a*CRS0Q5c&B0>T_6bun*TH znk_!lZmxJQx1}`XEs1~+c^GFx;AQ>;m}P|j!Jp_Po++m{jQ*h)^iD|tTJx0m_RkJ( zW$N29O9;AWL6&c1;`QJI2Y1L?C%@_lFq#3yrF`*tBaWn793A>D7neA!g%9W0&EMMy z!nY*XZeVjo*pS~0n}^8laGtO8afX1Ld=AUM;dg~fEWG0788D>^gznz*;IKUXJ7@Ef z$xFITfceB*4MP0{$`EsC)_}H)g5)>euol59WRI$y)TWPL``v+1n}u6$jWgPs5B(T_ z3DL%(7-LXATo@Sr&#C9s%CMjdKM?}!{o&J&8pNVq;SFLL)_v1NKxbn#Tr6Mb`HF3? zAb}}Fugw$IZQe~Wv`>I_UaC{*%+@2NC5sRi3>2h9%(7ONTZSHFAm(7gPj8B9OTp8G z_~8-$x&#eE`I&UFS<;!gg!%n?CE29HNMB~w7wiH*&Xa$;RQ*wtnpjP%>h!?!Tg2)2 z*U)rC717ibDD9D)Y5ZUzSeY<`yLb4JG`oMwLN9r|$oWymo664dyRTfXP>7U+6Wth= z13Lk{Zu!k(a2PXR#pcSyugoH!&8IMnw(W1Jz@p1I_WZuRix-xyi{612n6!4%!XH*{ z=&wyany6DK3MZ7T0-;(*!aPMG1JnZneuG-xjy8o5JPd}dtW-MTP}=!G-d;!H3i{x) zY{gw3inY!Ma+TfT4H-<5FW<$ro*owr3P?aTIIGQ*4ERC0H}usi>lC`!3GtwWU*Fe% ztt!qye4)D5_9T1ihwE4K&e$f*2d1odbgSZ;TvnjWU?`puMu(7J&Jo%l1sa90&QV7V z$lD}OpLX|<_-GJ8N5@oe)hZRirRw)0G?Q5E=^bd7H|<3Q@dGCj=(f8DVZqWfYUb-P@M16wiuPX8r12PnzFrF=SQ z7_W`vFZk?Iz%C5w9>(K^gOig2J7EJOwXVIRd3d{ST#RCgzgg%<(3uaPz>ePWOz3V^ zr`fxfFUxgG?<8ggjL>BFzb&JGOivT-u1r8aQT2lu6d#hmx1x7kbsEHOg}6_Mc9x9= zztU!i_CEnB>4V;7m^G24z(D&CB@as!0@L}P91>){1OeUnlKq?lW!?T%l*va8V&@Z} z;T_at$ZOA2A7!LtOn9Cpr+$FYn4?zEn;pgNE_SU65fNN^&UcLZj+0TLadPxjZ@elsT7^z{4h~SW!pTV| zzK#fGv?x(ZPWD838u%n~35_eOrM$OY*LSdi#@INQXPi&#&_8qtSaYJwk=CCN>q+9q zd)oKa2DHUQ%`&SB(ZZKZDd<*2UaF&30>0+~*OQ5^0z_NUtBW)^M{loj%W%0J#WMoy z{c||{y7GdKJs{w&!@y^sonf}`H}?vu8M2$0rVoLuFtD=ux??A7dJ#5Rv`Pij+;xW8 zfk84Q(qT=mt{7Mg$;fS9+j)pCESP+ZkSG6H2KNmkECskcjAcGaZT?m6hV|B4v22ma z>lgI&8*TQ&5&Uao&mNJ8i7cq2zeY0AyfNa`xFN-a*OGnb3C1s7atx*vrm^T&oRsat zyF42(-9qaJs!oTXuww7)1x32ztOKii!{B01v-m7Rhb1~Ah{Gs}zAFChG6WQ&$v#IM zzS+)%nLd+o5q;xR>D@koX{YwZ_D(ldRwl{-f0cL zw|f#0fIkFvWIrZ6dG{7Qsw|B=4v_n;c%Rv@KJs@b^PchKR^9_lmO|^VY|qw4UMD$n zA19<#8g5-CA<#;FvN8DUKkbe=8U($9?q+0=9~WpONv0QqD=H5P_rv?+2R45J*p5G* zh&6_(2q{1c`448yL@YN*K&hROtz_J&xBv+bV)%v#DyD8T=;%z8JW>Ag!DI>yws2 zXs#}cpYUrSEY*Y*!$!yzJ0ow{F=8$0=J9zPh|6=B`P{UAjoF0I;Tc;?&eY_=g}mYv zD%FuJtuZtot}5Fdn?gT!)y8Yc#z~Um5f--j;h#=UuV#T(IQtofd%~R5D>PZERhwZu z(6Lyqd^*kZslkgx{(~}(owH+~(}e5YT|9u7^elP)@bQ=K0W zf%ZVdfx>xLtuE>ZFXutSHsUjs_O3{R0daNUI#2a~TSqp?@SQ1fSMqZswENF#Hz&>= z)8c2sTO~P9{h^AGY=hWd`g5K;1^-WQMQ3q+F+mUx+yGq@U%4F5ZS-Xrj?uDzgt*SR zpIyK8M*k~}{pm77d5abT?TO+Uf|0NAb86JTihhV3fgLRIS9_)^$Xh7ybdpvF-|xK> z-1#Ak^s)R_k<7p`>Fj;awJ^)eG|n?j>HV82uIfP zEl{>~on6=AFo~DDEgv6W$^UKUNVecf0{N`2llrEmoML?6e|SK_LMxBsCEi$YQB7F6+%Us4R2-lwW&%xwm#9wEnWS9`RByqEAa9Ids@h^9$X~X0%#hOE>A|5t( z79IowY)Ij&$;gr!_C_l0o&~L${yc;BBGay5?FnCB-@l#SAsD>CoZqr&B;gQx??ppBPv_3VkL9H=56M8dAU%B@zXc}kV*ZTT2r>;#-GJiYqZLh8#`vGH#}#gPUg z*8>@RC?=Nr=b>77R8(Re|JG7Zl5n;U553KZCvYym4^~8&TA9@Vis3om8uB>x$Dy8p zhi^87@T^E)E=pvd>|qL?4Yc~1a&KI#q?sf#ofMao-HjS#N`fSQQ2d?aKEh-GvJ%5! zN?dx7he2S7J#64!dkO=v)oqUpTZORWRTY~n-iG<><9(U(DgQ#obrr8v;{0$B2MT2; zX2-w@QOoXhu>YKLUS}@ z<3Ee)7(U?c>zNRFy67z1PjiN}$eCef8cKLgob2yu-^0)sU-zPE+Nhgluv;!3@60b!d4GeSoLokBtI)4qE5p2hqS|?6KFw)od8@ z0s=7LYWC}4(faf_$wG>y@;Vwso6&~Xs&gDS_@h<9X}RPQxS4iYdMeO$PGMQoGD5Z>gy|@1Q3^2+*DLkvn^JGztVj!PIl%HjwoZV_- zqyk*#(UI$GH3C@?R<>pd6jefIfn|BA)H{W))c+p+{%A?Da3uHB)f4l$)cat+*onss z=O@!>2VQ7Uk?DgR=sg7mywAfFe=U<1fowQd1sZ#!N=9L(EqUxGEbPC6O|Ucp3wAVI z(%IW#{7YL6KX8B(RhbaJUW>D~`)!4kC5+6{n6AEWqlgr$`Icq&V9CM{ZRGH(p%8XJ zj|=CsmhRCc0r%d$B)yo4hKxAiw!E zge1tpK%Grp4DR76J^7Bon<(2QB(-wzLz{JtwajD0z(a#kixH)Sk(_f!bH^?SQ7Mq| zpIp{X$Lq8$d!%(D_Gayk5L=)PrI4SwHXh}X-cqp-RjbasobL+PP9=y}B~!CAt{?mm+1&^zhLJ0QS@X+^f&`4q0X8{AvhOjTA5a5^O_l z!4xp-rY(3mc;AL7(Y6|rsI_e-`We7lu%MMZQh+`{oDvt@lXTVf@l{{HXKSZHy1KcV+k7 zHZN|QDaoh|WkSY*t@-on(WEW&gkgsTkEsG z2|3WoykO!@;gX*eO5SBHeb_+~c~XjD*nJ?@L?d(vmweCQAL8xGT=^pj&MMA}Sr0Gx zv{!akSyoueA^xomdVYC%loIc)kyM%oz1jg<*LSlpKeNF1rkPP@NaR>FwQtA9H@i8| zBqq8oaUvhnhV*p{Jm7d|61 zR!I>gCQaf#NTX+p*PN01KA5BwD5yO*hV|bHtBzqRZ$$()BG@!yp+X(Yeq6q7cV!aIK zK*@Nhrvyk`esU^jxxNU4G9SIM+L@!N+iIR1Ldm=+RSL9)m)&*{9Gz#&oYeAsnN3Q0 zXAQDemFndY?Z`qKq1ANW-jUI!tJxk;PBGEN=I>#cDF5*gDqOq5Q*bg+J)FC>r^9BJ8yRw2oJC{!l_uNz7)hH^#CWU!-_+35i`YKZu(!+?DPimn- zbqekH*I(*zU%B}pgrA#0g$3X9iZ>6dI|v3o!cK=gJcKf>5u)OJaqRwMpA)efku;?e zt15dkP5Y1d!SoWG=qRs-PchFvF*mC4GX+;L{2x&QFCal4&c!_1n3rb^>L05F4oXFl zXtvG#%^aqZLyt+yy-DWi*!+<4?|zZg$2&YfC#jg$5^lNm;7mC*M&FgO_`SX{7&TFT znC*PM^1~xoBMqrw))NV7z%gGa9h zL~9UeS_(!GmEQ=gy@e@CB4NJV$}f>A9ZmP7eSWGU)?uP0tTmVY&zv@Z6XD2pWw$_o zLp>k8CBhHM)amZBl8ch}*~bzD!jh{GZEv4RZun}n{(bIm`h+3Wwb-p* zu3??++n`!zWi`!uF=>w*P2FX-wAI)8DTfMSSz@~GqI_=usYlhs&>9-vRb<~H8LF|% zET`=oUwhUV5T0Wp*&6GeNnhvvI#~a-*tseZ*qZSnm!06_)0Y6wOzPk%mNnO-S>Qvj znCIYY3i~d6jL^GMSOka2B+n=C7$G{kYKAuX5M-+_jUB& zLqaqXpI}$2nA(O?E%Y%OPU&l5FkHA;clrY&UVp*J31B6(KJBxd;Yyq!8L8aVs!|jW z!3xJk&+vTDjL50`X1WTU9)pY0V7RCnSU`A)Ok`P=mRY)SOATV#0G=kvGIDbAblQuP zzIX0>lulNcvvO+?PXMVu@ObYD`r8H*JkH$vv6NSKgyKPuOF{R>E#Xb$Y z-D1()@O4G~ub|N4Mj+cTlZY0j|1Y8CFRCOt5N?3^F8^aqci1e|k6T$(GB*Eigo;F0 zch?l8TDB*;P`K3Qgmew;B-a`!4WtYqk9|)7)|qcxJa^x#rOHw-$akacFfna6sJpvHg@!= zAUhrq2l5h-q0ebl-Lit=f6iBJE$Ea|Xi%U*5;5k=lYB@;CCkpcsK8;z@(49DM+IRf zbzi=+F4`NCxR5`#;6}xUl}^$mb^6S9uW=vUM?%H@!}e|5U7a?9##6qPAY^vA=P3+aDP|w6P@vR`*b=Rr?y~rB!r`tIykSXiLikc?b=? zE3g}DtS8txC8esYag~0gE7nxeHw39y3r^6kF*AZK9Ba zJpe7*sc@vZm=7$_{40l_*YuEiZRmuEo!n1oBZ~Suph0eN;^sJ0>#IHyX(oU*kACo- z!t$XKi3+Q3X7+s>%gSG(+WfT=4H7^cab9 z1)I#q4#4bFkRdy|j$aF3h^$#5zCS_`u(eAzbR_CLhbDly@cjHdK?UdWKgFjcF};5W z(qMDbPn9|;mLw!|?fCy~+y9pGvOo_OrMnfzz7(N;~}E{NKNS zbG0kJI#1NBIf_8L5khZi#{-b*G+mYu+4uZTd|m3sBetTMn?H?8s_9j$I{_y_+QI1oBtY|f{K0XV# zprk83Dm(&>UQA^13esaTnHw~58{~!ikX4*E;G+vc#BMK$MpQPSG3y`9~ABO5&s473_SUu!ApCdIZC;vvQmKCeY_^PqZK zkD}^%|>(KEE(_8`=qR+kOR3f&$B zRSN2q8MRU8n3ilhLl@INmJ2_P!;utpB@$k#Qr{tk-SE zig9{%Lc`ujv0~~B4&$idz#mn&)s`>Qy$GUmf?f4Yyq?lWY1)pq9d@#Vz0`-xNsnbbkZ zKZ@g`Y2yTA6X>@pqRiCs)B|TRk~ADxM~5GvBn?;BP;MKM@sdj_)cW;@IL_BVk9p~b zx;i3cgBgD)?K*!^KGzj$GHUSAq)9Cy*Si>50wbPw|ZRsO)BQxPnvWO zZM(E?N>*vm*6=4NP6|jDmBO{UK)+;{T#PU1q~?XM5c6-=h=5xNcEZ4`l4pnJbB5QV zsi6O`*4T<^bT{N_%;Ya5c`-$hCbjwldY^Ev5d|B_5pkl4?2%~G_KDp_?Sx60d)Pv5 zOVl^Yz6aWEx1m)+N6$f-UICbgUuku&QLRHMud3IcNCi9>e=33d({SDoHTDrOP_lY< zb)9r#?b@+=3}F|}MG(H{Lqg4p{<}gO==GA#pqd%rMTi?2F>*ZsN2CQ2(X&9VJD%<* zSd&`JdKFuROtR-2Ei2V-Gs{Z|oC~Q728ce^>m=CN5fO-Ag`XQD9cJJBb_7&sK=#Ep zGm}ua9cXq{nw9AhjvEzFRVAy`h%f?bI58!F>}X9R?gi~U)-=DPM@aUEBO#n(adqdO z*%f(=i!pD2YO!mhzoinu9_Jb_ZpP{#=oS*fkP8gCs~E$wG?JaO>XoIs6?*#|=bB*N z@b($V8mV301D3ATJ(KGECIBsn0To>WfPPtd5LNq1zy9nR^~+E+Ei!~dOkbe>c_E#B z(~#+#7u?+qk+UGP1Tu>-8#=S>>{-TKkWM7nqYX3C&(aZ}yezn1V+fl^`3R&A86R)V z7ob4sr=;gqLNm)o9_)~o58xFZ)+j_iv1=a%jDc!q(t8wMeSWe2NHoyN$}%Q=1E6wP_ln0!$wgHwm}S#o|Ji*7D2{NssUOlaXIq!hV5Bf_8K?!JKPi<{$?R6TZr*4vM zMU47RunY3bh_6XF1$Aw3RF`P5QMVP2{AiBuz?PT!t|!Arv6H046#exjMNnunk>(B6 z+Ajr&IW{l%*{N>XPCkw`H`(}7bvDT3FEf?2dAD9 z_AzQ?;9bR|fbOrwXNe2d3;g8A#&ERCen(WpQTj&?#z@ROI*862_I60N-vE0# z^xoJvki_6~1I$Eh2rRbWcD+~%6Wn!Q_P%IWjuJrgol{pBhWR-Jm7u_^`}Cb*CI!r~ z-uH-;4K*yetvJ6s={GH@_W*mqzLb+!qtnor?FQln;#EVGM~%|j&f5jUy1S*?((Z+O z*bQ7>r_xA!=%l7~YuD6Pb~BKhcOdPPqFlEYJJXx?Hza%mWQV3MrFjK^@O`x}C62>s zA1Bx8953!$&BzADpu{~Nwoo%Y3a{z?k&l1={Hc~cH%P-(9eA&kYl%dXL8pZ3%p6^7HuiPV`32fP9RE=RzJI-X|cuqgxoClh;gUZB?GnSf+MB z+M$`Z=&apMqrAww)X@`YHIfAJdmfJd@@`re`Jx~eEd_c?jd1T*jTuUw1tif?Q<<04 ztLgcWvZ2SJ07)@puBFx=(@|qr;iEapy;RGb;$i<^lFR<@ycYKVZM@`LYXnF|9P(af6vYL zf(nWK!OgUN>JFCy)Fbs71DlFG`#thfA5k)NpRSbBK4BBBhY3q%4}^aoF>pUFC zaQ&YjUaJU6bbUd(&Cgh|MIu-y2vC=zWzX#SNV<*$%UO3lOt57@(T(xC_2EBZ`Oh~r z54||}QLP(S|NEX&|Gp;=D8&v*1y9~2mo|?13#{&yhYw-|Otqo?I9Mb?ev_ARDw4S` zk=h3EOi9s~SCO!yZsNnKM2=_6lj5Q+pPR}1wHes{b*)O5Cn4K)wI@hDj}?vO#ihf@ z=x2+=7M`m7&b0027aHHJU57nsux$aXY4wC*i+yk6`>Qct!!M83a}fMkW&9bj?d9i| z1`$!ZFXYi#mMt>yM>y8&$E4bonfLy|XW3`De=iH-FB{|~m2>X%wD-wU9Yo*W>&r>q zlPCpo=u~m;y6LTf2l4%k@IQ?O@s0Wice4^nuhRBmyVBP1#`oz)nI);;>a=Z3T;Q61 z_G}8ge>DG-J5OVoq#%F;aFBq)7*tET3rpcWp2OHpMkHR^Tlk4S8jpCFQOxc{Y~N!( z(6kS7c)Q;YX>4K)p<*N(pBdi_qRcEmh3Rs0$M8})pe87MmA~laogeOesrxF#XZaGN zgS8$xa?xJ+K*yS_6ru7y;FPr*Rz!mcaYzeGhf zE3Z*0qlc7>2!*~I7%;!)U`v9oY$bO>gXHj{ua-)*yll;$exL^o`y?5#|5pnju|&_g z&HGldgZ$NKF>5%)Eyo}dUfUKL)KCDBGht7r#ib*a!8ASvjjTiA3~w&-d)^l5pcF@; zX~7{-ub9-ZiL3v{8n~S2gckhaL9N8GPXQJlUuk`{DB9BC_Avp8|4)BJMbt#Q^_~M1vTnrnd&T(p1M^Ez3S? z9zUSkE}WgY*g=9jn(Bj{FrTiAi$8M60wK~M(g|Nwp7mqD%qA$A*efz2GqWH-yGH?< zFP6RQ{qLB>h8^tCnx~2?5*3hR5bz{zzWO|sf!Bm#qGL0%%agD}8x#}6ZHP$%$)@q5uL4P<|kMns|4JGf&|H3*r^)lYc>u2Z5{ye{+#fOQV}c4NmzKN;A9H)@#mV5pW{x z;&>Pbx2vKY6>CVsHIv%%2YB#%RM(?%<25x1E{^eWu(?QokgMx8`c@FM#pU;x&WS&R zt5g;fD=ee6A7@Q>_Vs!{`!-HJ?NoIjpkjdbOD|l{jN7_6IfO-UQI60mF7Wj)qrxfA zOxC`D3;m)~?kL!Si-9xb@`Ntod|ge zAbk0_ahY@LG*K*Bn=A@6lvaAYr#K`C#@J3*<}zrBDTRcoyJbJx<4X%3R({pj_YPqC z86o}}EYbM+kUGNwYwg0IZA%(Vo-%4WQ(9x`+qbQz^97!g9axC;Hy`JeRl){rV_Wy3BL(Y6czQnCpBRR98 z^LO;#Cj&>h@5it_fA2qf2FYQ+O2!EOLyeZPq+#lcgV36HW#(6RXYaYaL=rnOOAa~~e{6UmcVnw`Y zfR|O*eF_T4U=|4+auEg`Pr~n*{i2+Bq>g>=6%kkR45c?NBG@-mdskyWO|VRhsfE8f zzFb#^;$AZo?zjG2`Sa1R^GYc`L5aK?&TcdM(VOSkoy4zg=k*sFS|)L66U#+a@DL4t zYdcaBq9w}TpjBwNHB?`|_&dC^R*hGuy}>T*L6f}mp8}Y-Q`llnw~tu^Y+Xu&>xOQZ zxdt$;=2lm=5>6`P>r0i@M!NmHJv?;d_dQd6ls~)`y6~7S2oofSVdiXYp(kEur3YI$ zpHF9jtj{gwrnf^+jqQvLd7^K5Zy#Ft8HMY5T1Ez;fnHc_mkCefB5voR0wixoc+1fXXt^Lc&COc|8q;z!YD>Ze8HhhqC7)}|J$TnTl*snH4c zu9oQTO?rqd2s=2L?#;39^lgr%v5)^VnaiY*;&^juzacVvOdm@VD->*F3oT0NY}^f} zHG>c*uz!Oln?OEgbtv^q6?0zqk0u`q-XCtEkc)lf(r>{KS4de+8;l|85}imZf$4*j zRMf;HUr%pyw7I^vv!A~U>UQ^Asim6;nYUz$h@fT;Q12^_L0c)6#NKIfG z3@fy5r4iG`8tigbQejA-h^{U)qHntWBT#wjc;xZ-cDt1X$SVHa4X{Faw7}}TR?CkPhLu@mqEbSWTF>S(S_wJ?C+~2k? z0g=k}sss3T0YZSA4+IG=8G3jmXXGvldh^ao1vGZ7615j>6tZ3wpOK6}GXx{_smm4M z!B8jmu;}1q0!>*-i;=J38rQZ+~%D*ufZN?M4%OD-Nr)i@8X$ ze6C;HPj`_a*_Qn{ErG^leZaK8;#TbR5C9(Aj|6Z76*D!#vx4Zs(;mLZxKf-g;UlX- zpLpv$5j;f7DYK+SeGgh`-8S=ZgFZUa`{UH(9 zzPQT4toD|Db!5BH{zdP-941f#pAEd@OQYbrn^5W%V5PePyH&iEcj(yL_kvttSye|? zXVw$jB4+Z+c_h8M!po%9)Jsdq7-ai+`LuIuRS>GJ3J=n2>}WfIj?@X~AR`X4E9Ua4 z>rMh5U^k@qR;R}&BPo>jESVK0SI9T#-WNlOJQB3kRYuGXzZ&1I`#FSM)ikiOHtIl% z7CL8D4XyS-8}ozSXoRK;D(Y&Mcc;tFefSEDDkrcFG)fdhXZoY%CDj1J>a)Kwd_^T% zKtF^oOe`HQBkvfzF_Q3iE0yGS^jx;yXUyzH1?1i%%5~RTXfF%Xu2vhh%m8DT1jY89 zICrAIQeYMlm{xmAH}*0czs|l>(e`*>q#-1Q{`=d0p0A1b{9XY8LA2aEpJ~fLbpPXA zQ?!ac+b9TsH1Hig+h(ef*G-^uH-b=01YcxR9d8L48QypP08P|(!P3BAIu}w4Dj2j=l zyu6n0lK}PudLd{Je0r`Bcn%&+Qci)EU_ma8&u9;BQmn#~6AF8s08|SwA64+JR&=LR z>su{I_lyS9w`a#y7(dm-OxN1y6~k+jZj~Ahzg&k{?d#c;SDzLvK54(j+6kOy9ty)T zCcH^TwL%yjRO@lDx1l-Poo579$ZRsGi=`0yqk`h`?ZKvr%O8uwC8yC&1)V-DIM700 zAb7jXPuQ@Z0Vi`)M%Dyph$o9rf|{daK|nStd+&IrjSoy@*-5Iguh%dPzMsDOE`u@3 z;b&B=tgK)OAs71|N{jCmAf3+EL8or=mZ22-WPKvkOeW>hgQlAe-Tn@A=Ogw04BYSC z_VC+01oz_ewWcPIf#%ydc0(3h_pXXSsn02^ft+M?w|V`_7s;7`7Fm0*2aT3JbB}iY zYGDc2gw^Yz3vISb`LBN}b)}n2gAq(Cddm)S7yQY(L>zP=Vf*z>y-)4xqHmNdH>Cbo(Gd!Aby2OlW$Kk_ zlG}pbjQF$m+4grGVV4=A5GiUQ32DvyB6d3A zLVK&OZ*Mh{ccq&_tI@cO36j_LrAp3!*5CWX5d;*Pgv1+l5o&t;?j|JrBEw7j`#2?r z2~%9D?hE#s!^^_TbJolIm+Y@k3n@=xv+K4GXN`+A6R!`_0B`D3cRQ!4B<>hl`P#kj z)~sn>-`M?0?0pthtU0>PO@DdiH4mYCg`trpnU$wDs6w~``gl8u9g;yKrqrOH7sCZ9 zht5M#-6aPkQCNgnAVQHZTzbEct^LwzdJGckE-|Iq)~j~_)k(X>Rn=nVa3lV|l|7vs z&e0KV_$cq#QB+ZFBE#TLX+0BZ@6CwD)OSikc0R+*58vV7Z{GMl?O4L@03WqUQ%B|A zwQwMWZmgJ5108-&!4xPiY+nX)rhj?Xe;6}Ew=J}zN5ThoFstxcbk%4Qkuy{72t zQJ%>T%$fcBVJ`6kdtqIDeMmea9UJSbE)TYFUVdpDd!A@!UxFkZ-1W7HgzXVKsp7Qk zTbyRy7bJ{A%*ic7E=ImrZz6-}4{rt^craUA0{HxSEunoZKy&pEx(@EMpJ+#we0tw_ z#!Ef{kW^9sWYr|jYvz-< z5W42x2=r2OjRXCG1LTK*Yb8QLLUHJJ$d?Zq+R(5^ejwE;Jp9HQ$60|BUOETMm)eio z_g5JEV=64H3#uMEt^R_kl6;D-@(s}qP-=% zl+kcc>cY^FjLURx#VOPL5fTCF=~kMuX+#*loH4dqj|4z+a8L1BX1n*qRG56 zsi~E5J}Yaa)Q@`s^F{QTOpla33u z1XDOyyX+D&rv$H|M@QuPBCafMA$Hzlc>Id|MqjLiLS9v0;YOjGCi?zoD%01-)ROF{DM!ne^JQ^YYQ* zj-Pr$am3cm9QwKgzfL^Ygbs+Kr~G*8oDe>-@R{YoGtYQ(_I}Q|{oEr{VV(E^`$L=6 zL=@OfPZ6<#<+HeU@w>p0OYjHkyX*^}lI&M)zh6R6Bu~sePbCGh@#CFF?R5z>SXJLw9N*)LHV#kw?2knx|#9_Q`+_o9Oi z-(|Xn(Oz2eXuj{A0xT6sk?&Ldk<>k1}gs947u<2ZZGyf_oN$Iv)P4 z|7x%#;vzTmJ6uQN$6?k$s5C@DRooV5DicpMfP3`QSOziWc=;go6`%D1j}=|uUL1W2 zbXb#TYC2HV?^y0jXe(sr7+2txFDB__lYAL?h#j6mceif+j>()L_fU!!h0C1d>(pV~&w&aXpnHymI_IY&N`SpPNGMOFQL zIN6zt$?JWv1*->zZ-!6wsl^;;(GDNC!ee|`bph6$`o4ffXVwJnc4v~$C|NtY8y_U< z5h%pu#3A(}gEQ1f24xEMv9eA${a!cFY5$^H0RQNo(+H{7 zjWszigK47PNFmxuQUCxBvj~{n8Q&Rbg<1P)%??SYSTtP;$f!FjoIiXBr`+qJNt6

(76{*>qQdV8#)g3 zL;FBuvx$;)$I-utd<_2*5%5zK3~omC=aChlvnec?sOBZtk~v$##p7{foF~xlPgGD@(?LW+2gZ{ zi_;gw)5*hb!oF9EMid2iy5@j*8TAlto$~UwmSR3G^N$=@jq^3~G0mNi4K6S*0zwxT zO!<`U7KiGwNjRzkmY3^+|6?i)F&Lw{qE(15H9Baub*%g-_5tIZ^tbbj(33dhg6Ucs zVQy7U#*=|)4;G*9nDQpal)V-8!jyaGa=mxcM0(f~cc}Vp&BZsvyvz5Q!VU{g$^iqk zJ1L?Dl*`mN*kny+U(`d~z9Hm?_x-SYq0@*sfA?UNAB}c+Yf{%My!llQ9?0P899*R? zNnYhbBB9C^{2j?Dox$G`dxwL{g?l}L{~cDFwYD=&0J#YDbqRw}PbiubK3FRW`b+d} zPsC6@gz+Bk<;orC)AMkn{mJD><>lbW&XjzYHi`q=g~{hfsihdF87@;$pt)-fZ;*<+oEd$iq{mjZb_nF*m% zC+f<>J-V_3o?SUOS!WG@Q<&T{8;CHqiEF`B4gI6oPp{rMc1bECSBVDwt4pVhCy5d0x3K` zVIFy2z1%{OF?h;VCBveYeK|oSk8fh3{X0C6Z_c*@4 zF#DRl&lTrdnal#bSla`5z6x?b*WZYEON3W8(=DR)38sECGp2j3D<)B8i69tIiO`;k zzhG>o{oxVXOalqoB`Gy;r#$p4Q!7`xS>9nj89gRQ%quSBQ*ytJJ)&qq;0z9R`L&cy z>qXNtS2yEsU!($or-jhiF;oLX#{NC>kCDpg|X}w!$V;;9dZ$@#2W{V^M7^E_M|*K-t8amM`Aw` zYcZq2uPqSh!s@r)9q(XD_`j9BnTwfE061D;;RmNa5b3wuTuw?R8U(RC4B`W0kn&FL z4&2I>Xi5be6U03Vt#c-7%=Z2&`u?vX4vLH40Nm#g4`Ep|Ig(aDNZi~?Pb z0n}@sN*_sVy`(G7HFS9HvmL$*fS2Z>Lj~<)&{^+!PA{AqjO~5nbv9J^dQfprFf7Q9 zb5s4j?+&O(I!iwL*kn_4Ok(JVDl6^Ibj77`AUK2t{ofy_lv$EDJg@XS?j#|uC0mL( z?>RVC9~UF5#`E__uNcgP9O;A3wx&Dj;W+5bGo}n$!Cj^Ozw>g7Z-gE93T_m!NUeqd zhOl&*dlCHSb zRHiP&8usG@9x3UEOsl@oTN{hYg-;}0taRGRLn&O`1$E}VM#xIX?G@dx)sRJRSz_w+`q~+QmWb& zU%Xi3R5jUX!C*}K~Ud;Wu>w*X=l_FzF+u!pR$y4dg5Llk8z@Pp z)f=aW>@!`Su@G8A#oEt`n7lt<#}LMG5Ay!Kwx6aIZ*85(spO8W-Uf4tx&yByS6>sp zKzzm&C2(VTA`A__D=$h^>Q6QcdEV-_b83<26jOfj@CdaLYXXMz*k*k+=I36AZiwa^+Il{MYDufwwo0Lj#WqCMHQIn#xLLe)> zrU{9HeC2500`|18w6j3coiv8PVJg_IMCJ)Zc3RWNhW}GDD~x#?0`f2A`1bj`7A$_K zoW<{8&hJ?+J7W>`{#A`O;oi9=+Nl*O>zXNmr-b)Bs=-uM{^H8tC8GE5`4*tA(ooqh zjGJdZTBR6EsyI>|cabXg89v$oK_H%(pBP?;MXwzcJ*Gwl7JQ)ZUX@rVgM)*%wQhzn zWn4XX`%?317@%0^kfD$r1mNNMIKwezK>(STdic2@SH)MZP1WbU`#E@5U>-J4cTf`R zh0~}eosx%1urcf}`!Mnh%xpxS2g)F07=CZS`bQ|Dw4>Sn}Ji{>eogET;8{QYqhlsrxBQzr#T*0Ts(2y@|OC zF>&W>nVY@A)O-qUdWZFSgo>&C1%e{bJ3;lc&TeMBpDJ_HrS>im=j-LvlomFStTKXFTT;*^y@pz6CN{@H%T?@iQ zxKIa^`?Uh2qO4`tSFR9rNhMa=Yi?eDZECMiPE+gtyd5WWv z%XSZ=5ZLdAXr!@>IgJd}lSnF#hy5od&@~(8FwDVC*Dc4xHyl9lT{x`JnlaIiu*iAh zC13O^dRc`?MqxJ-q9#Uzr%`71}_{T}@a3;ng>bPMpWR*$Tt{yy3$pyPOKQ zGBGd|{eK^~KGM2E!zsNk4r-Pm)zltGH1)|m$Nr_pG)=+r`139M#M*2QsPMd|@7({a zMRDBVwdPt@`FuJ-c&aE4q#8~+jyO3+G(D3F$d0!BC{}$5J(mj-&gvO6OF@(sE#~{h zp&l{5)?(ryL7~$i92Fmb^eI84xlUN2UMVun57s8=OW#8FsxAZ$n{u@iiJ3$14#QhJ zPRG<0pSOXLH+}Xq>)!F(U08_lFvMbHci=ybgQLXR_poHD%FfiDe-))78o9i&mwFzdmU;6}4GI4I9)^uPGptZk2@d z$6IOl44sI*Bj9!(4Yq2nTv(SI#u-`Y7X2>x^l@viCM92iln{CWhB`gfKhm1=_2_!% z8|2*eX-6E4@A< zZti-3(I4K|!5`>BNpB@PewqjGtgB+|cY@?dldaRAz=~dEia%?nOId@91tI`!7}5Og zEyD<+#tafsfHHNba;CJ2Rm4*%GZfQD=~l`cs)fAJ@vco@Q-|VKC1o?qJWFY&Rra6{09+zT%S&ZhyA{ViGQ`Pr{~snJcf0I%e7xZgmPW4pBYB^DU_=S@!^p4 zvq2h;pA7Jqu##$IW|uV7tG2Xo=~1&=q+%mcep{au6ulo3vMZsXi%NjP@PjJ;bg&UJ zy$@BE>&FHTM~GHN(L5d2P@WX)Ii~*=CeyxPzE335y~$XSmv~=JzxJ3Keber%sMko2 z(oQ1gDMvRwJ?;BlH=H!0nuQQFZmKkS)>M!ZU;w|ww#}U*sl0I3#Q8{0i<++2;D1VR zc}Ezlw7ZQP$Kn(xG|Up$EEKZ8S!ny)SpyOhZD9tgA!?t0r%;l>VifJi)HI1l-}O-= zOI)KEYBqk}Z0dhp2~4ys9o%L+<&#Ys<1bnr2~tN+GDAx{{J*~KJJD>*=ty#4K%mU{ z!}q`J-NrA_Ok=N^&gIWeIJix@nJ)j5aV3E1X42hx4eyG5!2bXrT`V{H^+*u; z?I-D)deEysB{~$}f4 zXO51N2~3yjdG$3}!yJRM4$t9pTju@WS4$ALVih>qaRUlF`t#v^rv;uTtg|@z9b;)5 z+1#bsNb;(4#!IJ0qq?Q)pde)2P&+**Y7A5OFf+6W8OuKBzTVp~7lU)T+3FxPxAZ3n zTWe^|2W~a^I@u)8J~PN4%_mcrF{$v$WozwEQ#EW@`#k2UoD|7BOz#^8UVZwtA#43Q8LfGL`-veR!Y!I0 z>qoR*c;1RLmDm&HT_5)tkit zHb%DI@8;|6i^|As{_@e# z6Ac6gunkowGg>FT+kc~vg{aI7DQRRv z14aqpx}LCkjf<^3*i>+9ke9;mROc|8eajEC`(KJ4juOY)S==y~8t zm|Cv?=PtB!CPeAQA6uxOp($4cutQN=E{2PoA=%DPv|g2TA4vJFYHZE*A^7kcAU~6V zy-^#=X#`(%zNfi>m#AWu#kWW84?4CXFL9gyvUdQ{cMMCwRZYV9m~y@LzA00QxOqLi zC+Ip)LN(%p#*tMGP;4dcaBdWrU_2t@o|o|#J@Xz8;NBi@Da@V=SF!}v*@!`$c;ttP z%R>(9`{vBw-=8u+LqL)hw`%Vz%VrsTT>*t7-yZ)xezHRt0ZLxrZbHu5OrfFn6ZYGM zxa!vf;BhzYFD-1W8*jeCgl&XbZ!QTYDENf2y-75gKgY8k#}y*J5HI(I$85#NlfzwW zaZqgtofYuEam&`xrW5tkj6wPA-7{FK{p7fW%0W~us*z%~yULT~-^Me!vBD+6$3Vey z#~dJ6*ZM6`vmyl1MOF2M8msIT45^uAAR!tKmi3Rl5Onevm*fs03bOon^EKx!g#458 z?8~!gPjCX5gT7uqoB%2HA&~s-n~1OX?^U-*8o}EhMg^o1>@59$Y`rebro9WH*B#^P z%Zi;Iw^ZPKuJMZ!>F<8IQcFc5fyWram&**8hmG1VlllZaIe8voW(`JfZ8^8-vD`O* zu!-Y7Yk$ZTXRLmmAge^=4E!33TW#FSnOG!kiubls0=JKu?Nf)8Fm8Lq2ff8cz{EI4 z{vOW)dpYFTyPPaR|URZX1i2LjH0$Wiy(8~Esj z{MQJFH1?UGZYuDegFg<(>l5%;)m`Z#0u4+5tgByk8PP^tbLCW}ChGZ}%idq2)SstB9O?^vQqUafvEX|_*_y& z{VB!w3BR`A>~u2TP`fn+{7QXmUD#|k(@uK!>3&UEL0VgnW(NcNPTcf+i7PL+NXh#H z9~|HGicGW4R|SwcrLgCZUjcAYnZGTVW zo?)A-G#N!Rv!K6lydpW@0BESxn^si;emLa(G-rc{^cYeU{E5EqD%Q5PKLa>IB1TEi z-`=VcaiT{UX>4-G#dt#rG=n6!v7ApE3?|e@g9b2|Y7x zY+pYfT0*GomhF9=%@F;vQHzD<>$Nn5+x-q7BguV^w-nvvBfemvo~8ak1m?)ZHo6dj zl(Bflbgnpp5=p-dv(=E3r^8>?GVTOVp<3nuzq3xip~p-A=icF2Olr{pr;z5LqAoL> zpJ3dk?;;NDvmP;Pm>3g1i@Y4n+5pr!iiV|d{zGcLBtNdY@RE=fq50Tm5JYJfqjORc zaqlgIoV2DeCH;#)$$mljxc|n5UqkTp=8%tc-ZKTA-t;UqbF~4Tl zHpwWNWDf9SD;eU2Ab>;79M30&;}FA4Z-{SOb3FxPQ>E=nB%gw0Y48*|ul%?q(O|`q)MpRy-k&5FogM6iYlYJcLx1edT*KEV|qm($knGR4%h)*^^~r zz9#+sq1_?xlUV5|t;<^SR}|@`1=Yl3SP?I4NbbX_=8c6CWTikbnu}&Fkl~_8%lZw> z%Hr-QXI=94A8t(1eAp+#JQBg3@%D2gYc@J*P38hqRiZH*6!2%t#_ps}9QjTWqs$WiNc1E914#r1ieb&S`OzB-^mU7~_0A^A zpN6^_)$i&eEPdNLosR||TQ3Px6LS(s z`}*pYGsyxc%qE%j%}=uw4t93vz!*Fkn$_ae6(7MwegE&Zex)_G^&1Xs|FdyH$UoxI z>rjiC0dPo@*1jwuR^KtUgT<9KX7HuT4*l&3OPc%4jNf1xKBR zJ5@WW_uVeF-&(7PCYg{oJc@8ByQzRSju-wIg?hd16^=kkO)C-zAvHO4tRCx)9Bd!v zjPyL_mqcx0_Ian^MtEC8*S)r^UK=6pGjvPL^GWIE7k=)&3(x_V_-sP&T z8I??Ax34>a%W)O4GHxJK_>(M&1E%b27mjEPyxVAILX!Wn^9ZT^jg7EYjYlcg66N~B zi|u!0h#|#t`qgv)Z{9Y=rLBYKYpcpT;bdcT(#dCJM${vf|CMRxAuC!U zZhmUfJYx_nV|`&5_FTxg0hCVuKG9!-AS;>Gu8iT|kT0b@;w}EF0ge)*G3boD1Ow%7 zf-mas2KG9lGrq?gRrQJ7#R_s(*zl2J2xo$b){eZiFXipTm)J1#;F&2h*87W8!RPGx zn*`ZnB5&#Pi`%mTMC=~M zn5h%ccdf%Nx5Yf>7-snLvL}Df*Tl^VHGL8T_-M>Lm8q=1MOToHv9QX+Nx)%A9?^+t?ANc*l}c>(pz~86YfMMe#DywNUVba zyy{w)=9swbUf;CuXd&aNYAuGZ{98*V^ML4ALi6d^xnMK1xyXxjow$b_@-oFv}YTq0tX%;3YJNgw0Z`-rvwXjSo?~8P` zlCtWV39%!L>V~6U(_7DLlb6cG4T%qG+5pSuz~QEC29tY>YW6fZr&%FqwG&{{w^(Wr zM?Lqlpx(h`-GFxPR*aG~?d)B&!Xc}$J*vU9eb4Ks!8C*NS}Hme3WJ}xg9dnh9B-Cn zWlxxk03_-(QfS7}*!j)i<5$Bq{`Jk#-Yt(_XX_)y7dMaKZXXT5sooC5^2o!~e)r29 z$!?%*F9#-=I)M@}0OvQJj$36|G&I0De}t9E-a>?hh0m#QB!3p-!~5FZ7p4JhtndNE zrYE-7OPPurT4M1?oNXPM!cjRe{MYB6$aXx7!?imLEIS^X$n6FMkh$#}^Ia1^mJV4v&S)QltKzHAFHAoDcNT zLF|vGf#E$B@vg(gpW|utf>w~V{DXw62G-YU9H{#g zq!!cK8#y|r=JJVadBlp&n40s3ljgT-S1u+))fX&Qxw0kK`6vN1cU>xAu`~589*PSj znFeCk$qd)VmZ?q#Y@w%LcZr-2o)oUcxkukKT8By%*iIP5)b(e99vRIjrN z@lK}e`+QnI>5CRM6$N(F8U;DrC}t3D_3;UfSVOX9aw#$&e;dx8H1*Z=1jgPWn=X4| zXlYRi0{?Bi6$gDdYWVm;=4P;t*Ct{?h}>2KH-ZvRe|t!G;G%aXl!FSF=u3) z!cH1R{0tKZswAOiq+H+aMf)r+vm#23&$JP3sC4c-A7a>1pMC#J_!5$W9>u^Bc|HaH z$FP#rSnh8p$UUL)%b5t+UPF%~fYeke*Obx_rm-ysK(~=8dgpczxV^!gMoXQRtqP}q zH)Ga0?k;(XvqO;Hj-aaSx+kccmFoI3pJXTI09XkQZ4GbZU}|tmk z#&V|p!y}|TdeZj88nB{%v;&~Qx@XHm+<9dMoli&S>>xbQ5ybXQS2L3Y{q|WE$X5v23q#f2b_` z>o}!2&V?#Sm{+tRPxACf4)~4~BPgrtGM648OX=LjtiPn=95;+VvEP6UhRno=WWOLLl_0I~D(Se03Z6_f_4NiR|e<6A!ns zh9N-@{CT}}x0Dy2!Pofz3Qp%uuHeH_c;D*J*E<)`fKDRw&v!&^A0GY@|F%%%y3`i= zG1hPV`nlBUt$=uYE0Z`qcaOI}Fcn{%sSpDHBjCc?c#-<%q#-t8r7X1bogJpnh!D zg+glH)F*=NJz1=SyT6=0grmzpX}Bx7L!jlAN@oQ3Z*%`g_;z309TAj{jZ@D&(!3Ic zX0~;BFr#S+d|qLzNq*Y%YsKxI0fc(Hu=+GsEx+yPAxH{%%d^nmj^R8(iBQFNXF<;h z%>S;m5m90YosqmAFrwpa+X>#yue-u%a($Ds?UCt&v8$RXeU+Ej!H2-xm(PPJsbxyQ zIYI7kM6C5C3_^pjlom933#f`Hyl9eXb8Hot7A2Sjd%_BnBmNDBXOmoq`YxXSNBvTa zKJE`=k2~Mg%)hn|tu9|pJx0}DuB4Y+Z{l;sdz)6HMI5a9$40(4;Q(2u?0fC_o_&X@ZV&5caas~0h(h_HrhoO1cHiC}a0AtvYQ+!5(Kp?ShNHk5-&ohO#;r~@1A znoL=N5YTqY+0zF=bG~Vef;NuxdpEkUiWk|CRSVaC=?uaIn^^ksNeo)~-|)E_>hGf( zA592xlr0*XcM`0UQ;vynP77byWQjY&?1bjE~F%PO8}>WF`faTy_^^0ZI{vu1e}*n&Kb^) zbXK=0v=@U3oQ3pth{l<4JAs#gHeKXp?AGZv1UN%N02P7=;skwWE3l+%BW>SIJ*An0 zOCS_NDCd|~*(V26p@qD9LEa%iM^Fq$*_9$$_A0@{nDg9AeVAAq<7$NT)KHp&P`3u7$gWfZK!XpEfULgU zDGvn@p8uq#!wtXw1NY6y&{#6iMP%^SB>N4KGdpS+px;_EgSkzN{3=t}E@v^v4s>Fs z#eCuA5{91&?32QIPa;3R>=61WDk4FJV>fQ0&kDlgyx&O|T4p6lCQ)wyS|67`6>u|E ze+AUXD&#p)C79>L!KExlRcY*2(P2D^x@^C1iFn0@g-QG`p?Y&rXpl{<1Hz#q>jnZk zL1#g;o|fI?z4rl%6z2BDy8ulm2}ZkUTg{`;X#bMYyrc>q9l4tDCis1U_6s(bm_m0`hPc zho=S+4&Xi`2k%KK|4TEuXQlIc^Nx=)R3RPRXH{lXt@D4$1r1ERfWd!jb+Z=?KPJyY zcP(emBSFTm%qB}&!u~#*P5okvf7m z@XOHPIGt{w_M2nB0+7Ge|NLoFg?OyQ6L_f~L2$wWTc4ns0+9S&% znJ8@-%`L5cRqVByhDX5}F!2tV-q2JfN6y*~Ml2xu80WH+ndc(H@47!?MtTXdY((MH8aNLdRDW_3WuKv)`8^{g(jTU7Z~Yx*6UoGg>RJQ13n7l| zzmOY4OP?vcEbnTS|6r{MeEf&|z8V$FBv!Go9yZ_Mv98Fk;r;MWI_4z)Ljl5y`hdK6 zh}HU8O4MHdcF^oaoArT2Ymyct+WC$2(>AS%x-1T6oVVz!saD2Iw8O__Ee|Q#!Yz&A zY5yB9(Z*X(|8)BTAbz1sF9DR8}W_q-bXT4=bzD@YE;`i=9uG+Oyo2QQ&}T|Y7CW#dyv;s?TOmiq9I@LuYa+Ja{iTJNQFWBg&22Lv~F zc%(xPDy_WP@y+`U^M)Ei@6~TL>7Oozu7jAb^UYOnp2qgKH0R8!R2Ch6kLz zxw(LoH6D_EVK~fBSVr+$Snc-X*y1dmh7NqEyMXisFZ^!Me2s;nT5l`N*M0WHUkI`F zqs)nnaC5GP6KIIkmiQ22CCO+pO`8#-p2Z8*GlPyFUEaT+0M{>t2>{whjYO@nofy~C zzSdI^(ih4^G$D4yN7tc*&xRTpqegL)|8^BFKZ#(ZX?@8{}4B;^c8wt%LI)-+CWuVMSO zuDlq;n+`C860Tz_KIF+T;pgr~=!E^ynnu8=Ras6Z$JoIcrGYnSa-hk)KL^pz4y`ml zfq>{S@PkacK#CZX19zD$snno{kGV%U2$rZ=@G@HNetqIDu|5`>sG0sy4!t4@NT-6VnVL$ z3=xP7UhvzAp(wEU{*Ed{VhDJzN**_LzBPOL!O!n`x<=+J2b~zBhmqJ$IITIUKBr&3ceh_elrwhJ%mOKMcXncWx78ExY+ZLawW>5 z#T4T@BENy|#+>mU}B;_diB1FC2F18qrkJOu4y5ZnCDK1Yyy(<`Qy%_&w&3j!Xmmwg1WJ z)}tz_r|dHX_9b?zjUN_0m+?ay&W~n&PDsTjT&_v+9%}WY;d1pb{y-LBX_wDXY>5RR zXU7bAv87$wYbZA#n@3=a5>3KR4RlVx1v9hmg(+}#UWzik!-1uIzc=f$?MINECHpsLghXX2qASNoi@#jC3CO)%{%a)Mq6}w_viZ|nr^COSoe?ZYY zE?ITc#lt2U9cqj`Z0%I5Z5KeE3@2fr}gdua4Ql6sS_X z^N1Q;3h8-G5G-CQ@@~b9#h$pv&v%Z$>>I5#-WEIBm0hX3-r5m=Mg}r`Z1 zcT>Umjxp8#FHBta9eL*cTjRnQ=IyC5siSFOZSHr&dfPn3He{4G3vG^;i4tsQcbIFdPQ-W)iVPJ=&*Wq`=iZgP~C;mlXf5`$FL_QG& zltW7lIVEpe{kv=&l=NBcz+)Kl)WpZ_VLn;*?xxQapLUlaw7}?_63PL$U5X}BGOLr5 z@5KNdT+ni!+3HKqb@*(x!f+DlLW~AeaDz=-Wz2F!l~ zZd&WI5fKz|MFt?z`?cR@Q+Bgb#AB%M>rnuKt09D!$yus}@Us0q_~z!-MlN^so1eb} z?&~phND)P9-0x%&m%g*Iaw`=7Wq9Ou|NG$F=KMV)k}j~~-i(+2pkSi)!aUoR^6DTz zV31pNX&fg);u*v6A#3N~pYLtV)BXj2vQ%GFDL5v)^|z%59MS0LGSvUNZ$g{&E^7t8 z%36=6(9!NA73&J?0Y3Iq8Fq54WNJw6IUtQ_;g%CVOb*AxYzM|^oT{vdK#OFCpO`V? zL^_LPuvy4{6^49TU$y?;SyYuibFH@QFuHiLm~L zr7k4_ks?B1z1-+JVbk=RzD{=h`)lbShD60~2Le>;JKkLfIR2?^`*QCQDkt?TGwczZ z6l`*0wb@Lr4|zc<+#JK>G0za*>-=$r;;op0n=)53<-w1K$X^dQW zwgSD!6~P9R@()K2X78>sQt$Pd@&uRFc?V?o|6y`s`CUqL%HRf2>TvNRn4_pX69v ztHZjD^`zD(ENC69i5Ne8RBAJr!OB|lE2~K@7 zY4*=6iolOwR&bcPyltL4A2#POjtFYZKhvcA3|EVeASB!+4% z%-a&*6Jtfb&iyO^0evlkJXIak%yzGtOZYS#p(|1H*%>vNc!^p)y}VgC?A=7#hHY`6 znPO-!e?jokw|laVdSM%N(}tQ9|0%$Xn@m*vA@e`ZHURq>Gl(F%>AX`k=5}f)q5MaU znXu$l-*NtYT^wsg>T=b1G0W@316xVR=C{PD>nfi3d25*VtD^rNrZ#OYrLLsvz6*qd zPp3pC%->pm@oTA){N3lAF@q>>2sf$)!Mb09jt$x+ar`tC?b^8#!x>i+e}hlBd*QJq zFaEZ*fg6by{i5%|W5Dae_!B_8NYeA)Y9I@`A%hdbLN1-vcuZd)N}_rRjE!j2ynEEg zy;bX+3NaSE7fo?r+^BM+%6rdg3PDH2yIZwbX5T*GfRV0$InF{DLHf z2)K#Q-;>}o6&&1+Dc#fN`8Vqm%o|Ryv&g1IVe0Q}v+;O%edi0QAR6g&IJGzWgeDoW zj{7cB<8CvZ2(9*`UhvCGcf?)e5Uh$|ivBgy4#A|r2xTqx!1}V;o{90jjH#MQucx)@ z5lFa&EY+pgstk+Z09{w>apx+8?voJ}Swu8eS6I5c z<+Kdb$8PdUoQm#71O0a*(Jfe8bR%Z-N5I*cd7~+G=*ke&vP=0za`EW%^4?jE1w_^x z(+=19ik)+9w;{rY@kNZ&oCN(c3(Gj~L+NAx<>j<(oS0ELCuXpKbRh+YE)ETAqqfd~ zg#D1jQ=I^SJNsiJsq{*STm))kQO?4a0amjKUTAAt1fsyI!Z>2GCgq9M07phP#xpWQ)lz6Z3b)@*&cy+H%-*b%JaI^T>ZIV zP1w#A^l{wtFHaTo`b%t|AxIw`SMV71N?NAjf0sdgdB{Qi_r~jI2fw8luf0yqR=PHZ zD03Z>th6}x6gjdQ+BXtM$3Vqp?5BVeNW~Gs#=IUCe{^ZhV*IEl>e6MT{ zYE-MjCsR*l2@w%Ct)ir`Xk~ShhInWB;jzCtCh`D9rFTr5(Tp|-Z5<~{)V(4-z3YnM z%nG?J;r_qTNOcC#*3!E6nFpuz`By9X@rPRtAo_gaRw#taiRep&R6VDV6SnW_by!1+ zFA%8*0zy-ffxiscKxg0~t~@dl#6FVZG-JGXlwP5xO`*NAMK)fXV^y|avo+j#tbK@KwW z2K(~_g1Eq9O4_G*i_!nI~{FB;j}$LD2keu1mWE$Ap|_7Za9`G!ny( z`v-yTHot?L2e{V(|GWqtjLOAqPw*0QaKz-d%wqN5WKKQhw8eDp*BC0Z}eszvi5YbjCg+RYhlB3W1b7As7jv~yk~NOU9806XA@_@ z9&f{79x*N2k+g}&V9|umq72*$vD}27Ig}v6t6|ty`C!|@bLy6Z<-5&Og}(8>pLiFS z5lF8{N?*7(f>v%%qDsI!vmqn$HIuOfHoclo{AizcS=nLH?tER4XCxLrq29Ij@NhDh zWf}2>y;Bm(ANELcl09z6&OMigVs4`u!pSU%HTt7?3F|K!bic>j=Ahm=K%`QrxbJg< zXx@=qEjel)Xf-|Ko@c3+I=h+?bg3r8dRUA+IR*;&9yB(Cluxb~mT(Uko&wiOohgfj z-w-;Z-*obCl*7IJ(KY407>a%s>k(nODS8TJv*C>}m@N4%ux%7+7YdAAo%1iPgNg<4 zC^b%I{Rb4 zf|iL_X?{1~XCUgi!wYD&qJYf z%1XhZNpo2?TbT%S);kX_rIb=4oQ^5&Ey}d>o3?#@V8A8=WWC;^W&Vf%9-HDI`(;fh zN$Zo5b%$b6tFH?%C_=WF3AMtsmN9ElZUl*@hIHXoxIVHJ##rlM2lgP3xRT|hd+KhB zSn{^d#q_Q*H!o+dFs|rpxJ~7kNGyAkC9*{=B|XqLLM+b=ldb4N&Q*@tE0NF1Hbqk> zCU>o)e9TIdeR6Zk20xxwKWRxlH}#HjmoxWcZNCZcLP-(3{G`zgQSYE~|MSf-B@yA_ zD%}2_>>S`(0LVO4M0S^d1BiL%>3JvhnC^5!rpd>PnfmwW4CYs-v99F5oJ z?xuj^ld|?em}Ao03y(~Kb?bXf!A&piIGn^CL2TAC0`FhZldNL4u)V?iin4^uM|4gjPv%D zM8F63VzYOI|5<6CL2{ED1Za$l(KtMf__wUJ%zD>oUx%5jr1hv=0T1ANkv7+1Nx!Fw zw&4Q})IA_{0&DTLRy5}C;QuJs}g1F>%pAgKu#V1XYs}z0Py(4I(R#qEd zP;WZ&G*BD&=?BhNc5%GoypEZc`A=B?QKE$5M&79WXEy_%j`vG$If=!^+8*uL9$AXEvc{Gad;9r=I)9#a;S(Bwq(5LF4N;d)g`j7u@@dZ z5HZ9?$+tu{3%?L>Gwf%3eS3<4 zPH=}`Q@8B!f8$mFNysl9+{xBBs81MM)zoJV4; zOL8Nu%Szum<08+^pkw}msM&wQvr<5G@NW0$)EE8H!4S>we}G2I-kDz;&g`O3|D^{H zgdZMgY}wF54s34DZos0kFTt)_K68wDILDUfUaKp5ej_J7IC$nxBVxTpG74^BY0a3; zpeu;rbJ#VV-|eu|bfyY}7=MwJXfr~4UhK3_@I%|`kK^2_1cw^zJte3cuuum$)DfTg zKK<>`yhFA62p1w=Ln<&4Lz%X+W!6%*4x9|JHO~i~Nn^WN^}3dgt+Xe6{NF?(JIE^z zbnd>+nZ?jjgB%?l?K5cG+7b!Umh*o6f%za| zDo40KA0_n5f`(=uDcphzYGYp*za-C}d}GGmNg0M)md)W&#yIgELBVR)Kn|}~HF~8Z zE4H3zf5-i%s`XKLQ1F(slQsf5xk=?~F-Bp=*6h*6a#HPJs^!$0Mfx8-Evy#s-b<_bf3CziSm zm-@3oDrE$7UK+n3A62HL?}XJ=Y>&t|VrawTb%d)+rnquN2Gg4{(sqsVNt6^Wd*s&Y z2jv*o=ZiytedgOnyJ)XwnrEG!q&0)vRIS75^stlVfcWOs*x|JHOR!_pDk>e~p`xv^ zOjbrie=gT`J2c3-LTw+PS~U>Uq8SMCxWOzEd)xU5Qx2nAgG~ z>}g|p{wglm8fee|Z~_j3qyb2Nof8w+GW2Q|8Fecu$cE|C4i2-gB%hl zQOdW3QAmBa>_Vp?kFqe-cZW?1%J@X)B^6GBV^VA@SNA1FwOcL2u;;NOt*}{L9353p z;Vec^XTBmqR+ z9G_xTUtrqjz91aarqB&1J}fUKdZiK^MKWOc@qe`!H&cb0*`qR}Y+0<0a5+b&oxcyVb zpZKZHesfm>Xm0kWO^+d4UM7K&BXwI<|AHfoXN&HW_wu!MjlcL`b$Ugv9#JiVGjERh zU&UMUy^LtC{u-8`U?Gtm6aE7oWn=gnX$`$5iW%#C?h9GT()j9Lsw)ck&NuxRxP{>1 z`;1eAMTxXHN>MuhOn&>}=TM?d3EU|VO}a$(9Iovfy6eLy6u2sh^iZhQpAJlRK3ezD zSJY)C$l8MR{Eg#-T?gW@E)6oD5;DHyNH4>c-NqvYzR@>PP%a%3m9| zyEG6oIY+H}eSHER0@IC~R3RA_jTM{ev-J;LMnd)db(>X;jG~P>mN?L;d_CawWW)oL zqBiKIZ%g^B9ZTOYp`~=G31u26FL*JIw((vbr6Tt5MvN;-(|1za2(8B+BYkbchIp)3 zqBS(rwYuiWac z99$Tt?CkQ%n8A!V+0$i)`m43N1CoT!Urpcna#A4IbeGdvp2~Sn&mhP->HQ9#pCm%Q z70#(3`Zt|>9dJ9;xBT<4b2e*B<9rp`{(E6CA$;nOOK>hlWF6*=PC=3YdMG zqtgSr9s7#anomlb1NobO)=rELhN`M?Cr~JA)x<%m?0z}-ZmRi5bsxibltkVsX&V{q zbjp<6b#14Rb;-XI>NIN2Uz**)8{Ia!#;?ACo5DSCDkWkq{2Xw96Pc0Sl=g4`M zV$YEy;tsM(#G6kXNC+FWu#xx`4GU(fqGif*V*oYVlO+Kqls@@SUxy{NqPMZI*ZikG<5>Us!^`arvO|@Kwy*df z<>-9|_*{^1$biG}7&2(!-U%z2-CeLz0cx*t?%&{&)8Cz;J= zyb7EA_1!Zh^tq|8g(`?l|e8|BD)BfER&k;!28Uqq%^1>RT{C_l^WmHt}+qQ|J8wC}F zA*G~|MnFnH1nCAzX$0vQLZ!RAySo_>>6Gs7?wpzZ%2`<~dDyt*cCjng({>mVuMtG`Ua<;HtnB{ZEvh6HU_ z?CiSe?Z$z1ohuRfm+I+xPLQuDak%UB7hfj|nl1W+}nN6A@pDbuP7Z!|2wrT)q*o<0cr| zqM)5nvFkt#$Clr{S!`XAJg5D*#qQuSoNZfD<=h23dqb2=L_6GE6?y0pRBB8DK2#QBmy-7O0`9J_pq zB4Z@NuAdKr35mKKnHu0S;fj z&*xb1t7B@r?@Ezo24Q2&kO1imFy>Po0exUZeN8poQi6wO!veFBDyn&w(k!@Xi)`+; z3ZV>#_`J6+ZjKScXOJ?bn;8&thwi{ zQH`k3E7jtVEDdrAu5Y3LS-p$CXv?z6~bvtU;z zyx8a;TxocMc4N~S`&#P;@Fj98|5GL~zNv8V89s(1z0na9M#RsUwJn@bl2`&SPb2&+ zfezk%9hq!h>~rjy$M|W~?M!$Pj_{|zXy>SMt-q3D*O^&a;}8zly$lPP#rI<@$(Z@c z=4>-SZ@f=&?b5A)x^P*oRES^uFA0Lq(gg4=biaB?aeqm`VPV9f<`oz$V1@p)3=*h@ z#+Pz`u2g<8fvNg8kYI}UGTLL+c{hk!;WoO(2rw_NO&En3Gg@PQ=+gaN2kDh2`NoB2 zPrcJfpxKaFDsv1u%GbAP@3ooLj_THCJ_#hXhsA-=ee-BAO1lv(uZh8Ujck0=sOMZH zWHe9SL4*z{`LMhnpFMF~`4u4X5vDlb?^Yo$L;*P8UqNF14=!5CLpNUs{8tVtYfk7t z1yx^q~(elus}@cybz<>#JxM3yUeVKJ$RqPyH7%!5iCJtA9OV^z`P|Jjt9!vG zx2rh5`q+3En7QAJ47BTh{o_0^yx3!=%+P$c(qP!Rrum9fTs(j%%j>kon1lb_JG;t` z+tmFJHv>AqfhtvC4m~zUoKY-l4!{?q!8r*iWLChKc7JVpRxUY1UQ>^Q$P1gY(@V zvJNK@cYl@9AXL;ntQC0B*NK)yVPUAc;>OaiRVZYP(qFRX2g_^VZxQ{iGW`eLD>;cM zZ}Vic+Ph|}s+&}gF(}MKW8Hq~=;jZ}PIxSZ{lDzETb6<*Klxv> zL3*Jrw?RoxPI=i%i}ey~m$!4k>@7Mv*RpD5kyGE^PiUHVJdd+4M8%IabD{N6Dd_vZc`$JM)@Bs!3fzi zRZU+pEt4lHCO|vrhrTx3Uw{z*)W*d89Qm?+LzVkQ+ir!!s4rsY!RFx11ba5IfdK#y z7`Xy-n7^sDLHVBh0{$y(!J&S1+1O^GetSVYo;5Osn+3FqX8+u|pk`ZD$XVJ|`a?pM zcY)5_7OnHSi?bP%)Lso_Rm{xyd|lFaz}wn7l-l;=eRK;IFNo9CF+6lJaTLldb~MsI zOM=OfQVE@V^(>*I8#}n$YsECsrJ~4MU!cH6cfoYFQeoZk8IM8}f+p(~H8&WxUPBFI z^iEv6#N@Wh$Oxp^PXg44qd}k{F)K=zV8vyxb53(d|L}RI%?Pz`sK{W$(|+B!WEhoM_rwP|{ZXG;_x)F=w%8LTTN9gL=X8_%qV*E+zXE|~wFKO`}kI!0F zQXU+Ahd|S}@B8;wc~!V*q#m33Nzy5+17R<7n;E=TYs{*Xm{+NG!f?U!AWHv~gOt~(>$KH#Q`=po zc|ge6*KVZ2aJ)SsfUh-HaDTmCm5Mi5A)H!-=Z4gyYQ;Qw3_*ck!Sqv z&TE5$IJ_T(J#yii%^efmjkTP5%YVDr?Un_S%5F0SOCzfO$vljEWQ+9KG3UWhm5>k< z_#i!|L$RLMtPBVLlu7x$)(XP-&Pwg+9!&6dNm_~LTi$(HE5LofM2QOO$nc(NMHpL&TWHpw zfRUF2^>2>Jc<7Hw{?Mf9s*fPvoFSA!(}|}V@uwEye)C)@zGzS5+Rqt_u%%^D3~Pn~ zSq>@-+XmeY$q=uUa3~znq})VeiC}bWMl?w~#=Fpy?56?(s)`y4B-kY9a0hqIyHbC@ zAE`dAW7fgRs<@UAmcjX(rTe3(NND&P4aT?naq-0qx2>qLI&RCU%A9I#~ zoQCulAv(Hhmm|$bX+EEo!#W6M%})y(9<&k@`BuLep)g9I0gKVqoZ1~Ni=#gc#k^3e zo&+rA%l~7~KB{rP;HO>!J^k~_PgNw_G?J|B4l^M3H2?h}A1dM9IBc4HgY?{fB_dFzI8)ng8&HokJ#JsXjCnUZGVC-QXgAh$p5a_SM1K@SK)f+kk7}kFL z%}(uuWrgz8ehopKY7SgLNouC31iSuWEtTz6qj(C2jA~E@+s;TEAph?v@dQA2TuP{e z_|*1bkdI$g8iH_81&YCMGHmk7MwZXhEZ{YvhnHA+a!zk2S?;?uwHMmr?YE- z=dxxCTnb8R@Ii38fP@zB-73Y~{&aSc+!?@&Xh>qz&TP%E&e#(&Po!z8p<{TS<=A}K z{`SBU%}#1Iu3N};oLbOLiI`VAnV$(7MqMd+24MNi%xC|TvN9!%_N$1H(BRV}uPFBa zqaUPRp-4VFZxH}K;;>ESQKpkNGhOk{?fq$}^Xi9Tid^^1eKR@@y_Co9xyqqQ6Qedq z`P1$`{ATSqhv2exI{-80nKlbRY|!=7_;W9KR@L%}en~dpb}Z!Nm%AW1p0|zT5{WgK z-(5>6S_?s*-|BvqQA_1j%Hd6>QFQOD%OIqi)O4WYofc0pN|kN|qU9dprx?2UiL zub+)EEx)z#QZxo+>AT)oo$z4END65=yXE#%Ni{pQyI@W45mVv79O26DO4{>Z-Q9In zuHc+en~YKv5Kg!eQ{HRV5~9J{hdUBQWf73~RIm*Y`P-h%KbJ%zXdSb(li&rrTq4XH z0RO6-fo%Pb*zGv;scL~;4x4i{nqZ9Q<*%W9LH*|IyV`zQTK0{jaR$~K1kkNd2mv32 z+)jPYys}yzcGCjezq<|H0>}g`Y))mzL7|PRR6)&riiU<`mA$7ZC*Pb`uImiqfk+Sv zn#4X`ZsFBi#pyE=tu$sa8H1F38W?k>*uW8K#}Rp!3EA?DmF{)d-Wi3)Ma%0K+9E(o;uTlyQnwuYJoPykEFB!y2(h9n&oc7lhH*wo&=|j5b%NPejMAbCm`Z z%*oHjG~R^WDCUbUijNchA>@9CU%#jTkdI{fo_iGb*3pXq+X4iW2<#53sZPS^c)At$ zOutw`X^$l4tn|NRk9$VW9)4kSMQR8V;cf@7qPIg?)he(BZ3=V9EYr^lnk+H<%;nBM znkhs@tLjt`QrhaRRiUI2eVpV2io9y`-q?O4C8}(QSJ$bHXJG(#v5r=?>TfNE zImX2cjW-harWfr7YN|lf_bu70Ht16uDHqhYL#M{6ARH;-;=(T4VykMOw9P46BF^{U zXv6FKHqJ^wIk$S(34{gk*PZ_}+$IJ2s}Hy^|o^N8TE5f?V*;?^g=q?`+)P4?ao}%&5nZ`Jb~nH#@vVP^6|A7`rgkGL%hu_*POOesbn7slwb5lmKN z$J9J`dn4&dmn{ug%W%)Nr!`I@{`#4MJnFBM`@e!1>9)s(6&GN2vqdG>0iM>S0i{WF z#B|Zq8NZ+Z;8X_bYbESFwsAWAyMZFhqO6V!amcdk*L8p4Lx19T%stm5;VCJZIDCI7 zF^Y-`M;LrUwWo+_i3Q(U0m%YpsXQ)h(&2mDk<5b%HXu4~--GrrL^p|1-4(T712=( zxrev?F6r>7a=BotXqNb-{6Rg$1;fEB=7B(kTy**<;V#fi`t5LJ8MOFO0-0AuU1dNJ z4>6bYQz@32gC0q5bx2#nEk1=v7=tPU737t}EF)30NQy5%i(*B$a4D#eU=y!fs%#hk zws_Urnf(hRmAx^r+dZ9zVB$mdx{cA*V($RvoT1bMF*A0_V!>vRX9(6oZwygxqLO^jfolv0fkVLP)U~>=lw?|H!^vSc{5`bgF)EnKO7HZzk}9 z5)6)t2d5BYN5#8xXf^_zZGb89O%Z`V!x51k=vsoLm>x|Szw%qfcc!;n8=(r?R5h_t z(Eru6O;Gp=x&{t4Pmz#wdeF#)u~h1tH=0~3?aMsKdneGF`XQNZpb02sF7#wZgOjL0 zr@?7XRnO}XhGuZ2E>CHe^RZp*=3^fm6lLw|kBi;u|6GpUSz3D}KSS0-{7xyA z;WCldZOL=zAWA_O-_}pM8$)%nCqj9+cxAZ+IA}0WlYIp$9Pygim{t228hR(6!JqJ~ zD~L~Bqd}JhjeQpkgBxvkTyP72S3o%Ny)m^iZ9+;iq=hcN#J9lX>DI_fQbSOti*7w& z)iK$EC%NIxo~pK#?Tb1_v=YOvpGeYtf->qFLO_1x*`v@BBu_+9sHRm*Pb$Ay)b zXD~dDVC2~@r+e6z-^Je1d_X)FO*yEfysb(a6<0K%P#liX%T4n!%~9$7jf3itEBeV= zOMk9?cCBrOqY+Ve3>h|r?DwgTn?-ctcPO3nKW=TOutGJWSKn$cN_FY5m0n}gMO#LX zp>=Q*3_cWLcwV&>Zb%xZu4)Uv6YIt8X(~2)mDy_aN$oy8dnqTwV~>WMEq<;6=}O0c zEKil-et4U^%ue~~n!v$5P{>=*b7HN=v_E-Y>~5Jixp|aZCW46NV3ehAV8y4)zYrTc z*nH6D8@<`wTSgjVtwK^^e^QWUqLiP+JUI4lU}CM65~EjQ{{b3|ua!wIVC?(%^?N4< zIv3MU8Puz2YdcKTEAG=B=|oOd*`u;9aMK2#1|F)O7=wDV7CVjxg-kXj5{WS5!_%EI zaoE!VGUH*UgKdRFA-k5oeSbYr*pkD1=pXe*I=+8DS#%lvQD2?7i_luPF(q_&kv z$tOx_ni0n)OCQ=bs&2h8WBTo2Il}l-UhIoniA|KBYp6!~pX#TAReCKqbw_v{N3DG{ zn#*393tR{z_=dSPaP1Ce(Lnk_&~HR9+3LN9V|Pxl#Ma6v{D_8Amh6-m^*%M$trAnzl1)1@MuN zthlXF{Sw_v$xPW@Z+(llyI?N8oBkDfL}qb0-_4jex#FDOk|CjQun zh)xq!&?XrmL%rtTPWU6z*5ahLIY=CxHnlIt$NpP_t0)YcYnx1WOb@I^tn71rKDhQ6-pw)${H=E0AAdMZX}D0D>6Kpe+M)QKNZOC7 zm0yc6L0uMpHeVA*-@XS~1T^Ic<;EvZfg|>lu{1jA1fvg&7m6D7EQNdhtmree|6=}N+5K`a;)5jj7 z6X+64vv{y-=@}~Vc&1JQjf0Hq_d%NVY#lNrK z_IOwpSL3D}!@wpMUto;)Qvc$JH;5EfLl@~PBc+%4OzE2j|7b$DLv{@}qE>D8d-$bx zwW|fW(Hh-*e<$QTqoH+UcC!aT?ClZ(=R`XcIJbvd&{oS%NhSmFp@&J)1fk$B@khuM zo^Fe4_o5%-V%OfI?NI8B+_&);0Y?;#I#}j0stN6-JCBqm@VyZ6oQCboMNR1+Ti3x2 z1d^K!+%j7BbHm(yU0;m$p6|Nd{or@oXP7v$T1{k4SO=CI-}*yX+kaC6o!2MdrerF-gfZu3D1^J4K4}uVz2;Z5zbrZrM(6evlx zAe-lE02ijj#F3Mgl~)q6&Q)4D=J}@8SbG@_=DWbzpqGo}N@7%$9lbpfQ0aoXka8(Y zUSm&6_+g^GgXwW$5x(Z)^cYku|M5@YGv{3YZq6Ky6;0q)RJ-{A*T=rEo$nQHwutZ> ze19)c{8qjzorhk{RAOFQ2SIObpce1p2g)M+NZ6m?ph(VKXX0aVnnP;|-05!~4;)s`Ud~k2#ufvdJ`cmYqdz#pt~2l2`(dMNFeQmY2gEMG4V*yXpB>9Z zMy1!496aOh3D;-P+y8d|w z+IVT{yNL99&}`Y0_S{}60CxZ^Yxm0NK0wHOn~V2)DP?@^WGgNb@>m3k)qkBO>BK6f zF&Xq$S??vQ%9ZNuyZH8fHUk-&H)zM=*0xE=Laf9y|9HP0a=Pa`=Do|CwefJw;#o)Y zo-=P{+{jX1?@(NTQcjx0{ zZl)%Q27)0t1$7=Hkx~V`O`PZ|#wTZsx39;?Ig_El%h8kr<=8EUK-9O=4qi)3s-r2x zl}Lbr7g>2*2QhYPZXMJx}6QK4^C4`46$8rN54HK)o*=Rg2I>nX6c!Qy5Ho|pI%_M92hd8RU-VMOJ^f_{WB6> zDX#DGzpy+5Y*lY^`rp((QDm85dq1UWy= zeGrVHF)EKaEQK1pd>R#@w-VX5Pj0X)YRHxTu@smNgn1|KcW{O{JsTm@(*K8E6I_Js zi@XPd>1-NJh|mAC7Kd$=>p%A=C9am`pmhDjh@JEHg%r&h!i{_NrtM9Wap13&*U!7s zJ!TFy?BaWT>9@}opYM)9E|~_wJe+L^WK_hgr@ofXUP5?UOvU|gZ1UVs0zS7UBKhGw z=}F2_Yjb-XaEVQM*;h&~Ey1!16N^$FT@;`C4uIz#D8#-6un&E+7DR(RC{6xr1h|?x z6+2d7^opqpWue%|iw$hVWnM5&cvTkDK)HxipagOFF)|zcc6JrjGBVGrqC!Vr%@+gl zylY#tv+sPca7G3*T?;|JppsPx?NMD;68bH( zCVV(pXds#oA#8RM`&u$z<0kv{o^;OVMx8*;*A?jz;@pF zJ>nuNZS6i{&9OJu?tjki|I)p7;(cz!U|7PW21r3J+YUwZK@_UX}p zs;2e#GC2vX>6x;)&ms92u9-8YNcu@|h(wGMjwD4Iza7t+=Nxjgca-?&Sl2r!_T>F} zkhpE5!y2_(oZ*7J$o&;vg6*@OEu&O?JG28yO0<>RIaeK`=l-(vDw0o}#;}N%m%B#5 zB`08V3h~=DxijT(O@1s?9N9^N4#936fJPmtuMg%sqekHF-ZDEPc7PD|6`^`H+`K4P zRTcCBX@~u#t?m)^xJL5*^NxZ%PxZ@JBWtdw%Y&`P7ZeV2j{PBIZ;8PImYo~F-BQr8 zxGW2&yTQ&D?LOzfDea?=tbFbM^T=8SGcqINK8TLUAcpXXQW&nWu^~wlh_H0;vd%6< zZc?se01w-fV}(3J-lekf&*3H+xQB2+ct&%zcJVfgmeN-w=P?$aq=LUB(*gHb4HziP z0#~~F>@sHH;s1auzjxrKdfTzZDfINx8q9;7vGkCrXQ>LM%hDJhHmT!BE0Vi^`>`*Z zhJHDBa>-2ow7j15b9|X*Ye92my{xKT{fyrAh9?M%@h~h*!H^YA#P#_6zK7dN7atX5 z<-I4emO~RU{-q1%^O_HGz5m7eqW3u$#KRT!>bm%uFjm`VRl|;tT8z-Jjoi8CsQ=Mx zJVCe=kgZ+MRcG#Lb1MXt4!$P^jhQ$t6tqZ!e@h%j^CqnSe-=Q~GilQ}y~?f=43U-^Tx`YY zzACK#mgD(e@`d<4E@Y{K*GND|ku2tlBn(UamM}jSCuY#WP+@4@i)p*ORN ziEp{_x-Bgt26>7*1V`i5X0d}af-4+>t%Z-X?U?@*7XhTKo54*XOa;%^{g?*l_~yS{ zg$Hso2Qlxw1F!Ms<>l?x4s-B2_#Ekto&kunw4LFkrY}Oiu;!G^Ony_vq|`Daz_ZSz zH?;A{<8^lH@;yJ%qxmHMHLh!I%p3hE&{ri5DL+baoP_TUT1rX@awN>pQJemfK0@!0 zSBz^FP_GiMo-vAjC4uq>6@y-dPy*cu8!p3?N!y{6%S{@HS?3(x^8Tr7_4Fr|Al^$D#Am(2iLhj2K5JdzE49qUv zR`6H$NLOlS@o^0o|F^kLVtFsSMPYCKC}NT{@3Jw_g`6tMglumlH}E8BlQmukfgFGp zex%3IsUtdu#we7khWbf$-HP9*#)KOzW2|VRqH3{u%#7ZgwZA`i(a>FsjPU6`BC6S$ zLQA1FHb{Id8zHWEK|8`8@Lkt1R}XUx*zJ`)(8Tl4CaOm&fu>mqsml}NS(W}_gIp!U z{{id6RptfxaHA{d&}0wfVxDdyVDh&xYr*Y z?Cm4x+@eVY*8BVWu@Ya!=j`7ENnY;Xv=c}F?pkr4(An!%JkTWbUw&ev0yG*9uM+Uo z3>hjQ-I5S=kTHd*mmDmmE^giWi^$*;^u2$8eTdw2SZ*J(m34xFll#+PI@-V)3j-f9 zb_R=l2!h;Wy}1*^&7OanFkF>u6L#7T_IO%av+q3r#hGkV)scwoXG^8;Lw;1$CS?nT z9#_jqT`vWk!5*pXoNLZ}@7g4Rz@s1{Fuyo( zCGPNF3uagFMV@Z0C&p$==&*-g3WC#8?C6uB?H`Jd8Dw7;$ox^UK?vnh9~4zagWJco z%YeV02cHws7gP)RpA_ZU-f|p4H!e24L@g0U*U=s{;W1d0r_F(29_U3Mc6$IyfD*NqsEuN?Ic9B6<=^ktA&r81Z#fVRnTAi0&_e|)5%V?ThmakSc3xQ!RrGiQ%+M+>10tW5_QdxtM?##&e#(|~CuyXU*6*Cjw zSBu~{QqS(|N`vc4`nzZk@uz-t*Z=NIpc5?m!4Q`;UPk`OxMyj!;u^)!J|su>B+S0$ z;y|w176FKRouPh{`3{fDx|7JKr}_A-+tBn3lGZ+RGJltdqPv0ANY`=}+ptL^2+1BA8b=R9e?QP&N$`<@9W%-CvoLAB996sSrVD$Y*dc!F%$Nydfd8#3H&{Lzh#z1gt=`RmU-A@XHQ%WX{#*%@re z6DYzM4}eAN=i!x;SYU5s3Aq@<4$s3N6B*jOJ#s=v`6{-j>^*0VzMV&~g=ITecJ^FZa5NSe5{>sZm##yBD{#wc>(O=> zI^pyYXUET$WG~cm_CiJjxBJ$!*xJoF{iXC$59OpOs_XB0ae>x;w1b`Q&) zD_++H_`JhTK7|RGLF5za1Yf|lKRIXPbb{sdNBl=V(ZOQD$@V5YK(Rol38w0*vzB z^Par$$BcmFAyUNV9MG2;;6`}<0j??~M*lFAkqtg8nqBiGgEvnnO<4$wzqgShr_5XZ zQArI!gfS&*M$;$1JZdb*Go6qsfFYKmbh>5T&GNc2Rk^3WGzZN3NwI8nw=q$Jp&2=L z-HrzKrh+)~md00)uenLMG~zC^nF{gWx5;JeV{hw!Ic0vfs<3()Jiv;4@5QI`EIC0V z;ta@(l}Iq@E{nb^l=70-B0O|?ex4bB@;-`SQgGc5-LX^B(Dz~IIDoIcY~Zi{VdS@Y z#L;J=Dit4kzYrZX49k&Z+NmOCA_Qr)f;OKaAZ1~}VQ~$GIgRw*u4tJ%I@k1rA^KXx z>B277TrZCPCFP}K$?b2zY)LBNPtU4nt$ro{Ce-8Hs?sDzHBux4t<`bhq4o8R7J-}NF)m+z z(x%rH2-Xf+rR+CW@h@L{7<2mxVajx;>r^iH17(_@&>8Ffbkk_i`(^c!x)k6GbiK5C zxGQCfqS`h>)5i&R#tBo!QDXCH}A8DIY`PqmA*dvBsZRoNYGFA?J&{y^4zgroKrrT z$xIUDKojyBr|K;rVG$qLdxAD9?x5|aZ3{qKUZY+;+2s78iFje?jw(rUchuk*-4{qC z%50hWz$<2yNfV*)6s~aP(Dr%BF0vZlq(|Jo*${#f(ez`jc1-wap!#c1094^?^co;N zW!azM`m<|Xm03sq{8g*YMsW3>I^}x4Bs~aON-kz zeFWt~(?A%36lPV%U91N(hq~$gt#%Rn07rJfgsxI_#qnuI7=9g!6HJ>9Yg-{|Fzll+ z{ty(?X--m0-U(~rqnd85PO@pDR`ALO9Uk`iG#O?;R;_v-Rs4Y>6BdlMrhFR5dCMY+ zvAAL<&|v|iy3ojpp(w~wE*+@%Dn7*Yb2Qq7e_Bzu!42ImN0lSH!4s0-ES{;+wx|ng zqkWlh?7C#f22&hRFAufsFt z_YVwb-n!!R;dzH~Y%QE~2Dh*f_1zwE(olc~>W8EJX=kgyEAzXa`jC0ga5dYeIkMlWrq^&UI4J ztiPsRjuo-R(w&P8tprAo;%($$wI6j4o`}r9O!CsAb-r>J8KCg5j@YTMw)Q1nEGf+mipb$iEOI{ulU!|javSKHI1LofZtC2GIV64A78J$Tcy9jka*Y2zMW#F&D6(7d7OM<)oJn`*Gflg$Irlz4-f#$8M2N$8E*sisxD)8Z+qdsup*W z=G!7rlQnK?&f@HsOVg?6)C1^|5yKbGN5Jt-CQym*3<0?WsJ?TE!j0NB-}4vx&0o} zhaK+-(3*ybdPGTBV9)0WKC-XokB3Jv>9e90#|gq6N^DIM6s-_to+*_oC!C4+GCWB< zh|P45yA`*jqD*g9>Q{4r!U&Rij}&*=JLdh^!&2T?P9cfOWMq=dS*344e{PMGoIG?y z(Msr1Ox=73UFAyZ&OwTDT{967W_5h2z|UL=mc)VxXOY(rl%~Mp^$OM0ABRSg$YVRb zf9O}<23fO`_?WrpbtH3wh&>1Un<9T%{s|^nnox30$d%cs+~zOu6^HS)4dwj?a@&G4 zWN&w0ISOJozXsTgE81`^VExc=i5Ro0dMp~HL^~8%G>hFvgMXAN!1%&A=n7?p!fhPE zV^fJr5;O|yP`oSNJ2Dkn3@Hw=ZtxFA1u6uS8{lsz%d1Dl7qqv=iqJcTtEruZdeR4g zD8&#G5^zoeY`Ga*NIciDnJy()7gT|v9~vKY+KY}MS@Yby*$8Ckux!3>3ee;HF%k|_RzlX90V3gH3(;)Ek8+A^q z?ssvVN6$Q9F4xKL#I7f# zgt45}=anxuyp!x#wl!_HoEM`Y<^Bi1oNG|gF`Ma1e6^+l^l?!{iS=#>qpZY9hrOlK~|WSPr4Zi6(oN^wmn#vY&!^cN8ATt zLF~|Z$G1kdT^*Z>oE?11f6J;mDWH`3%7w_>F41ZuzDR;n{Eui)zuohzq~TBr*}Jvj z(m=~ylHf=bpN_i6{Q~bXCmQ3&kVnrqKQ=>{Sbv3itT`HfSo%hDrqz( z;mg3nHBIKxo-XPo1;N>W-z20loG{GEUCdv$^*mMDYj7I=@Vs0CJ)O6*Y(G5f*uN*5 zHx>x&Am7aChbA5?vx!6y*_GNt3VjMBc|HYJP{lW#{2uRr-*^Jq7Iu~={B8IX%?JCc z1%H+(1#LjN=wI~^d82f(I9-(1#gbr(_abTpvEH~im|lyFeG^J5r0qZrAUhj4yd(~N zvg(Q3eQ4%iHGkqz@GNx@(uL~VZ>V2LNG7Gs|C5ydsF=i&kQen{wlC6$xFyYOD4t~! zQh{JkG^+m=Q;rlDqV71pJ876R?0zUG+{ZiOPGMEl5h5-yNFl7I{!(U_F+$V5Pi!yO zP?3KjBjU1KB^F}J)mm21~Ch*4_o0>&(c70|WqE`Xw7&zW{$bcLWcK|D| z2demhA1dX}tcBcjEwP4TQGTDfQ=g28KDp3D&jI{LjKduCV2Yw7{EB-0iX79Ot*Bsm zBV?BVQ)rWNZNO_Vy*H!NVr*H-zU_v8Bt@C+(nKl{e`uf4IWOrcJV#p^zBIHenATRk zv$vM$jcAqZnpR6anW8@;DYgJPxtWyd47swT3Fkc`xl><@exAbtRdftzsp83t?`)3| zFNOOF*K0!6_Xk0yjz3hC$pu}-N97S8a%uRDD^eILQHD2j@g$rc>vk@*4-S(4`ak`On>T&c z=ri+rZK^3CwJztP3S3=EoXB;n6M$e#jAWMAr5;O*^3>2YupYlhq)tYG{1h&Nm#`_N zp5&41KaczaW)XQ^{Y|20EqnHHGxu?u>su6SKUMbrEb~`Ug6!G{`&xUYpJy`euxuNV z##pnPeQ~)jqA8>|U;H9sqr|eVMM!Fa($$Kit06S+NlopqN%B(6ldmuP{H9TB^NcT+ zGI{rg-inwb|Lc?ZR4pziIZ%Om)&H8ENbElP7DBH8#s}$Dgwd{N>_2}YiWA?X)~E`` zUGc*@MP3Yt@5GW^RcrP5%P_Vs!UBQSZ>9^rPbXnh@<-)rTx%0xvIme}%smpSv1RX(1-4<9!#dCD(<2Dc0AP!7j9`9_3Q3ax$*4`C= z@CmaOju4*u_g+Lc=}dE4G2eJ~o{pMvC+Z`G{quI*alsMUxa^H@q!1Cle<-+rxB0#@ zcJ~$16n&)Up~;E_9@3@nUN$-7X%jF<3`YS@t%x!^m3w9G1DV>k4v~6;zw}UhNlWS7RggqMbm=pY4cWO zV+!NQ7aYJy32yY^{;;;0TkA@P$gY`#ZICU22W@t;qq`{F26tPVsgY>MG}Kd}1tB2Q zAu;ra42PB1vXL_dOC<;fK}E2#yuYS=SbQ)G=gD>Mh(*N~H zxbMfwWoME&`c6EodCoQzx;Xom6ee)}S>lpBfn~rMzpx1)LX>;Y1^n4s6SI02Fz&4| zz1Lx^2HkkH3inp0;`5XE6!mvzd~bpmZUh2oqIH}vdL}jDb`#H)(-g~yS%cX!p{Rei z95fT1`_#5>EnUYn%r^xl14#dmrn3x-stva=B_UnXB?8h7(k0R@-QA5e3`mJ|cPQPR z3Zo$1B`MwAJ+sgL&biM2`8RvN`+3${_j*+pTm=IGu*9vgzzL#^H%FCC$PnB^_lvmw zgUf+*@EV+Wl9F!~@B>W!0o(lO;%SRzyZ!awsKz)tvJBkMN*56D4_`z;cC`&AvZfIC zTQH9r+Q~4jEfe-RcpVT&&Jgr?n=~g}8>xzEgGJU`rNm7S@i|zM?esa~$Z_rNpmhI( z-w3A6qJ~NXoscVEAExqL9S^*$?>Ix>gaYuV!L%#r!z0P91m%ik6cT^ylE32+pPBf&?StGTYYtoA%|v8I z896Q@X>?OS@Y6PaIT?xvyv^pli;DU@j^PMlr}zH1s9{h@DYfmi;1KYb(3sBfY?ymT z(mUp$+Hcg@>{kn#nbS3ff{RW~VA|(zho@}@Yth-u2cYr*;Q8FrKa_olaU;QBn?SNg zzm8vSjv@`K3;LkdJG>oZ;snnsC`vWG=r?^#_WPp33z&X^OhR&yO~#-5P)B&149VzV zG1NNQ5RGroL!u~1KVoeGKfY(&1j#Yl#4Bj%!F=rTiH!P*Fz;b=`w8b6MLSiPDmdSd zN>KrS2oa&%qsjjucI#aMD{uH&Q#bG=h+Vs&7Qy@cVDnFv+2Rqp6|&nPE?mz%F?#2I zK*?VvdV~CE-1t|U4#Sll&jg_;rdj3!5K(wmTPK_I4c4*&;=_v8c6 z!4d&gVr(L;;Xmh}{(Ie9E0&~6m4j7PB~F@Y?YIiH8PJv{S+v!xe}!NVbVnt>6fCio z+GQ!Qt8EZp+=U0Mm9T+f6R{yq#Vo`yrGVWu~8^4bbk1E$&x zDJ1>$iHJz0YdlwRSc3t{3V7)MfN5gttYbI4|?GF|wr|&wCgkA?sWgy4r}MsfDHtuNnBwvFAI~B*g^POg~#< zuHay%S^y__jCCGVv}R8K?ze^2%Q&>Tz{cOazdmZh%x9`fLP#&D6=; z9l1orzfzLu^%8@8-@B-jebQRypDX*6xgB;DX*8Xl@|4wsU-9D}v(_Z@%|Vk;^7`{k z8{`bId$|fAzi5skdXn%?_j93BC~_`h%V`{5`_Ns@!3q$pXiiB=&Gq3(UdPRR(Uf>T z*IV>i3);!9s!Kw~c_(?h;yLk!L8Y}sDdSM8wCZI#f+iaSOQzrR{Y8bRV5GHVmF2$X zK#e8}_zb-Cn`o0oS@>4$l4bU)l`w5hc4$?!f{sG0Vso%Tk>6qs$Nse~K)>#xyu-={p6o8#s1F*XUF%rX8 zr>ts&7M821vj)VA7l+iLnr9NTVq7M_J7pzxfB#Zhf81|5tjSicnYH}q7Lm_K$o*9W zK21X5y`qsHaH}sws)%;|gUI(~6nx$Z!pPnW6vuP_t)dNN7e^)z#c0|{LUGcW2u0zIS) z_)3h{%c(&6c-zh9eaL&wCxU68M_M5Y(G{Tv$lD|w=N#6VA(_9bn!jWVI3DA$^P68M zJz_oL%&py{uEC>g?;wvx<4-{9qeS(cdV7k=66ht zI40jqSGxj6+T{j@vLr;b?h9F53fIA;Fe^>ab&_)KI}Ks4eY`a1?Z87br_*q8QJx78 z8%iM$tHa~b^*LJI+Sb%g0&VGY@a%tu+Izb{CF6g4Tme}*WIqV$DJN+?WzkrOnd$~b z{XbEv@iS4MdoM}#esjd{*$Y1=G7kWLdBy79e9>J=a zeW7GPG;83K0`%9^EsCLiL#}8CG?DG)eE6A#(kM{(^s~Ab#-%M&DI<0m!$Iu^FD#jm*>h>fMRwbRH{gyeh667J{li6`LtNkY_+ zS*Dow$*J?jURY0e5#>O^^Sjxu(2Rho?L!^^c4>~wS2}5qqv?_ntLb6|kDEE& zEyQ^>PZCXG3&>XByP}q$uU|qUzGBaoP2(?E&l_7!>0&xx@rLwNpTpvR=0B0 zq0M-OP%q@Udh9Y;D1n#Llc$3$@i*N%6OXI0lCi#YcH>%5*leG$;z-{dgO>Y-Up>H? zVn5gq7-2X}y&kodK8am^PyKjP$CNV>zMsaJ#kqrD&W;irGXc3aFeLvN)g0&^S+#L# zt$a6NR`~v^+zmK7qi8jmVu*)cGh9vP3jOygW%5F<-Mu*l+%!vIMkW31X}fFwHS@D` zV6_Ob=dNs`kl>`9lT%_H1jZF>c&c2gv;a@hxGWJv(vCwgR2yIMbgrn3sFmK}A!|}s zt4TgSEFrjA`=y;K9sFZ9>ePM|P$)uVg>xSa=2;?N({Fx;OIyCkokMu->GNvfH@}IL zpLUgo47LK#S&RA@5{^|#zyNuEEZt~LdQ_p*#M+i=)NPrHY=J|4$r~jX>P$z-(0+uH zR5NIkb)<7aPj_%!n{AlHlFTrSX4#3107fe7BVLZhcBS_Y{(j;f`g5cP z{ub0h7iNXRzE>pc*z^5(7jWzJfX9l=;elJf*mHsKJJw5j(LEpc)ry&Gf9!$(#fs;6 z5~%5*>yj$-?;L1-wW(0lBK$+da5KqI=c0}Ia4K>(47*$71UIs}74SR4!s-keN@h41 zIvEodV-qX+gWk@ufOSilqJ^~4;QP0>;v--SQl}gW=Cyc&2U%r1VDI4Y8~I*zZF@Nl zdpLu(${ex(o$*Xry@WZm2a#fpS7oJapLQ}HXmqjCj;bUn*THXJf4$a_e&*N<^&dhxaUIVUy4+alXmq>S6xcJprufM(8}!fUIM)=eiE6>&t-R#PEnNAv zRPm~={IY_}CrE8I5EWM;`BqHfOrrREF4HFdTY99!xD~@{>up2VYVXAeDM`~84hPSK zutoDIDn_4GeG5Ew6X5764q?Rt4P#w_$JV4@h}VQ?;;=7r#qEXV8~#d*VOw90UoFzl zydP^;ieusobq?BJSZ)_HmzNcX2ZDm@4SnJ~zYerro7w!lu}(G6$VgroQ@*{HW$fw9 z9B;%FC!gx26) zz!kh8ugDpf`5O8rtulex4!m=u6y{6oEfvoL3;+H~fNPXWcEf~EUA+N~YA%ije+HcB znB=JZQh(l0f21I^o3bzY8J#sw;y;z#=K;3R41wAl3yHB;l6bpAL^w2+0Vx#U3@?|V zz*{oscikH3W8a(|H%+9k!Ef7s@d;H*vCf1&x6b02-LUAeBOM3Vh?Ux#w}Vo`oD014xrNYcGF?>-uHiLVXVigl^kihgj>(IlRpuJsZA18>YSc7qfk)Wskmn zBbGa1bYU24$ko4Lc!Hr>aYsW?e=RG9lqN^pC#1QPRuPMG*8LR!UmDi~BuLk-N1w)? z3B~QXk$03-!Rm;A7DFGGwoI_WqsFJ zmj&<*P5;4^xAFwK)Rzrvfj4(F*TG`H(69Gkfhf72aL3K0W1IFzBs`A|iKzQQ^H;Ld zT6%AzY&9e&Qc$l#age32Non3`ibv*r3v<#7#dAD=s}kr7rv`*uBxcOawlK6dh(w;B z+3D<;`KDACgMYt0@NL9DFr zgh-FaM*eot9g{FGRpc*WP2gyOgsJzEz3szxik}q6X+v%Cv7}rArd{NnCoZaUI>3-& z@>)&wB0QFi_ronH2Zp$O4?}`S+qFdXlp;;Vi@MqC+<~XEV-T|cG;fNgn`Wzv(+>qL zRkaa%brz%uIP{}%#Lo0fROVvCdy#qIfT;W2BL+%V?EatS4ob=kHUNotl@wsh%qt&; zcvS~>QW^PfL_{-D_n`>5O1%1^neVv)hl)}jWsKBu!dgUOvon{Yyc5OWtrp-~boAz?pCS!s`3LmjwNy5Fh+h#s<^wR?paeff&CZ`=$8}zs-NkZ+I(X>Mt~KaJ5gt6~ z`vGfD`S84;TYYqs?w-{_<=53Yzyk%FhPu~j!4*&*{hL5;qc4)gG>}{O4WEwr^7`1m z1yS#b4Yvu;o+@A6&r8Kh&MXl)(fC0IA>UJx;?;yn@333@apTDLLD^WY(1nbppbN82 zahk@2=M8!)VrXI!2XdRg<&@@nZg>H<|yXJfJ~rmzH3?(afRD7N5Y8&afess_Vv z9H3ylcSQmwEtj36J924}gPI{ycyv*+hncA9Qw9~LKIz8qJxSbR zqrM=O?P`V0C1%@L0+h(bJEnRR5z*pIiPUISxnXZd_2Sn;X)iJ_tixY3V^J`-s9x{;eQ3fy{VUGCzh()qG$c4-_j*?1xo=A&G`%BTAS(S_5WYEa?9a8-?dhVep&uoZV+8F!y->E~d@!nno2O1nqCAmOM zPns0@4_f)HJ`z*K62MZ<@1l=n#O22c<5quM%xmdp(Z9NXeA5ZzTxN~@p1ZcbzBF`v zSSUM>co}BHqwHDYDOYoGJ1>fK6D~P^=qZ;rHF3U&y&}0?hbU zSg!@$rKt!iiIcDj0IaOttp==rfi&&K>t zu(1o5z=doNxiUW7L48k>l{i#BjT;S0d^V`Cso(=Xrd7PQh>MHskVU_YW9d$9{rRA% z$R-|O3a)o#CpAD-#t z6X;)w{o!K8?=riRy~(@gclte{Q_)jJTrt0n zQYFi&h&8IKyH5_jk*~S!3jEGZwMzSIB?Si-3>#$wK7bQ^6OY4lB-pWi2W1nqpMJB5D@9J>+F0=uydqBH zy*+orSL>(4ub;xq;i0SSUyVpeR{i#<9)9BnC)yWGx4D{%d{g|pZgfzOF)z#D%OHw` zk5~Tc3AYUjK2{kf{ut!a$V8_LV2Nh$s8O|C0=4kGgFU>@ygbLzI5aKOW`f(3`-a&& zKfPa6d84in&{ghzreBb$v1J|z1V^v#j!G32J+OcYpV@SQUi}8WzAaSOfoW^qLmMqD zJMEn;iD)$&@#MH3PL}Xuzw+<{4iWIgb~TyBuA*@SNf0ao+@SYrFFdiueKS z+AD7>p6_t~vC_g6Vt62Zt8L^sQIpSpx|)YYyFSNQAoi;er^% zsn`k3U7Tv@rJN=w=#$7ZPafBsTEggVqdg?GUe>q8Z$5o@jJ8r&;5P=C?;XmZ7&FM@ zMo6(Ip{y7LuBbT7G-5T&D7@wB^CW-##+-#eSqZ^PTo^sLJ1k;1QD?bfuu&QW@lrlCMjV5Bl5CR!iu8>)}(eYU4r=> zuFxMA!eTw!+7nDE9uDRIYm>%i(ENoGd6i9{1+w#U+9s&)@dlEoV`!{%^d*r6nQMdh zL>&?D!C^z1Qg$Bd*mhb@&D;MPLk6c{$u_f7Kb-hlx7Nu1aOeqA_|XE$;X;kNnQ{0G z+mawKG_cmp{15bgh4iB4b!9HyTDrqg9aOwA^JiI}cec^P57uRt>ElPsg!marDO9_f zrg7o1S|;%g2l>9(QeBIDe$|j(brmOhX0PBDqyg~M39o6+PwtB$ab(JgSOEt-;X&ad z<*=}}13vX@K27P6UG%F~&yCbC=}B1I6IT#?y{I--18lG-@U^_9C(7uZ8{*Y@k z`rXgGUIbxBz-l zPw4?@+Bpz!Tk;59&`vH7$(j(&0>uJP+i_b>%A$`_Pf94AoX7ZIzDka%CVyvH5G}wk z*^S}d$}v?wz%qR&KrQ~Q0QVHq5lqj3s6=at1oM0`lS8;`SL#88&l1$|dkG>ZYUj== zaD6yel|||jf6UR|(UimcU$5o#4>i|Wzn({LtQDVjIQ`+y*V0R4dw9iL`~vg=c0wlA zQQwv6#noa(g9e2WFjAgzj{fmwsF{laGa}2cHcHN?PFc;DPY(-+(^TImMjh<*mv7Dj z`3Epg-%7L+(w$00eFUl2;*lQq30QK?4@ZhEbUbmxAJ9)l-shg7%q2Iqc98h`WL)y&3_94)(@=X*T6RO+*Kpkggh zfhaWh3Q*0{$xtP=ME#xTVq`64)PBxdCAQ&Y2)Ll{Y8W|bGs8;>QgM6~j9Psws?E3( zM)Zo|%b0KnOZS_$^j9C1lac?nF)q0-F&k&^3eh3=CAUD60#2EqXnYeN(dPTf-V#ZE z<4TO-HfnvC+RI~7dc|J*_Y8h^vI-Eo-RlPTod9}+%{);qAJ&L! zlZP(KxGQ93NlNVs3qL!HsLTCePmZGYFL#S*29sUyBeAHbb#6E3=R9S1^m5-<*?!`) zCbzG8cE+*#k=&xszCzNr05;%Em1W}3^}RdC{1eH3nK9VpeC2#AAa`UirB}kT z4qUlaBLI5$#hHFP!==Z2yoqg7C%-knA2<80W^Q5guid1gf9KTELO&-bo05^_=kUjOtDC3rw=E&76;alkl zxQ@VYR|x2=XrXN0Klq1)a6XCOShaE*efphQLi@GIYkxgvwk1vV+g$QaEnw){#jlo6 zs3yvN=5tJgu?JwK&I}Bvb2l)qf5jB%Tfi#w3S0{>DRndZtg2kYwVp8lA)b=qi6-1E zU!6y2)ONp_diS&6tCAkm8};GN)o;V{i{#9?c`;f9jEB2KU{Hf7W!D^^dSDW2^sENE zu;(HDEn2IsZc=HNO3-n48nAs3P5Al%`quz?XS4uVNg56cqfDWHk~l{FL=xs_Pyu)x ztR=&=c_A%r;U}}R=&U7JTfU9};sgQitlF=y*E&w}E`7ZMTu;Pqg=55z1%SCMOrO_g zI2$&foK*Bdk*2!vVK5~Z?)N;ra{f`c+&ZrkW3Fq{LhodEeFXQ{!k$Dv(A zC%PO9cTz2gfuVr}8dYHCXx`PgpHHVEcrr=zA+Dbq+$0TrIyIeA0%M79f%_=OVzo1V zt7R(hL~OwodHZwAi%nS`_{D(rI9k(AZ-?jHL}!d5GR-*0_gjg%6?oGrgy`OgU+AqC z?C)c_*Rwtn9P|X|!fPyf`j-W40-ydPKw|zg`aGukNDjPl!3dJs@{63E5c>HKv&Yge znZ7%uAXN#|ef!d4xu7b1@TLP?7p$skT9f(z>dD;q^QNE%ouj7QZk9Is9Xn;Loo3^x zgnavPIu41%(YNO>-7cA>Ak%*?lPkPL*9-fjYr`RC$*}b(ft`6474qPRHBD-i>~&4@ zD4@|_sJ&$TF&j*HrxYe0Q5Y38?xY(!6iioWF_j$FMm@!IiOfUJDHCoG<)nbCMcV>< zd>4hJHyzrXTT2jv{O)SGLWBQC8_p8g&7Z@Tw)MzI4LNECa2;xJip+V1M(HLgYR7vT z@K(751}@YCRf$#|DxU-}XsV6C5VUZ?x4il@_p790*aRp-)JijU5i8|PfKuDXyZ>~) z1WA|XbdgH`Z-g)9A-&wkZ$#ynDGX6;)7SS?3bWUU8|TYETM_ptH@pnD=lG1zne7xs z6Hh`hE^Y`?c}!ubI8Lf;hgo*V-!&cSXtLfkl)f7LAP#;Ul3u8=(=XHPjZ(I`jgQ)5 zQ??Q10Iw)|o4tU!v8KI=0#`>q^RCEBM!J&O`m1nJB>mTBj|I2ZC#>8yejwP(OVM<` zYAk#Qsgdc?g_AOh#k}=_6?jei&;^dKCZoKJT=}FBQhrL*hwriW&ie1(76#=-N1;c( z#}SDPZ=!GPy%g%zXs(dfiE8!nC z5g9fW!5gvS_GiyqbDOha3Z|O~F_}@k$l1{iJr>kcIqY*N#cxr^+C{b2`)rKeDT8_s z!mTi9F#2cL-NAsfpU7;6^MK{g{p&JEIISaXrtOcDwhU~6rMIMUoYGtqgb8tSToX?` zcSX3)TnROlu;Du3_A``RLmAfbNTq9|#IO^BbI3y6NxOMkl$4*89+^g~q4O9Yev;67 ze;ROhxCTbWU+?Ambn|(K%t*biX4S1pl`svUdY-@%E8BZOgx~yyYfIJSUN6&J1_^G(YWCb(cIlQah2EKr_sh#;F1iN#0k~Mi=Cr>BP?U|T_#~unaGy6_ z`l_~H2iJeNx-UERd;QX);C=Cz_n9mWn?2k=q5B-eAvn^Qx zPU2Hp{X+-jA9Hz5L|sW6-?gf9){p(Zbp$i_KPw6Qzkh-msS4BYy;1MU!+A;Z{@+;5 zx>p5S?NqwKYQ`0MacoF-Aoj9#6XPmBu#QI z=u&^~@ek%rsNiy7|48I${9x+mA9cbRn43|th$L9zuz>~CpY zAnpd&QobUvi;IL2ecL>SBDsY4e`xL;t$z(16~N#(Z&kM96A%KiA=kk*UoE%D;6h_1 z{_&v9Mc44b26`EeQ-DdcXU%e-)O<$Q;r7Hzdj|1GIm8UrSuzb`HZY0@b4+(`NtL0l3V<2tU)uD=~K-d=kx9zn~Lld-~DP-l;tMIef?>atBGsqZeiPXOt za1f(I3Z2sZ=Cl~SZPM-$IS-HFhu z_k{X?SFU=iwJFP|nqbNWfJIVAOwqB?NM+L0j8k#LHDD4EW%X^bBe{JYfAheK5 zL1tEibdhIGg3^AAlA!z+9qrGvb7?;n&We{LBHS#hK1bZdNk(~Qrb&q}WBxw;;lSOA z^D;)Nx@EK=RFt<&ErVH$@kknH?P&uyd`nH6j&u&9W_+j+D=eOYm-^dP!t+Gz)DNxtu!`Te`tG z=usCe!vezI0?{gPnrXF>f#1=a`LpYwJac=e9Z~<`>P-vOV}nKw;){ePiL)>pkF+LB?Z7&2 zrfG>Er~XUA;MT47d+28r?4YdDc9s(m!dOtqihc@FQ!!x8%}|bop9DM2?sHoG|sQ^j@yDJXs%kH2E|rE zvCH>Fh>o6bCpBV%q&5C}=8hq{5l)%WQ(N2J=NK2h&#r=JUS*#}PZ9FRQE@xO7mcF< zpxNK@e5>23b!w=m;8e(!X=_lwN#e+F z0&63AHf#i>VT)fc_0sqx|Gx_$Oe@+xdWfIT`JGc(ZCtv1ogFtXoXwxPU%}s1Fj=Ju z#%}OakA2!7`@!LN#=0fpvl<;-QSGI?T7#$dq1fGj9Qmpsb)Mvoil{{xXL^g+uGbW^O$;LqjsUdN!V^Tw0GjK?7+I zEOp^)TPhGLkP|@^Fo$Cd{-J#O@xcZ&}fIOCyC#Qmnyd7R-$rfR*WE zIQ}YmMAR%FO9oz+2+n}ib;QX zuOK#^^8~+~AEj~xezgQqev4*K5&mDeI!-JBbg0UGB6sNJ`UrV^~( zh7w8*9p~If+m721D3bOcIOdHSTojqOP{9z36&ZTm(3O0xG*I~_rubw{2-%b6)|TGt zBXQ-icqfDjpbz-vLN$2Hzo&ojw_mNc5K2(sw_Xgs}0>`0gf!%4pFKvkqyf; zm1cPstmCpK6@xgzJCm`-jxvZNK~e*y)H3?cK-Hd)0ksc|vM0$=PtnG;;qw6%;0+dN z_JJfL8oYW%ff!3dfR=bEohlvN9)aq+QB731NXF$2u5LtV(cnF17PwKx9Xk<}ynZH} zx&oiWmT*bpB?yK}cGVA04gu@o)RpD^R&w7kyWP>ON5R`~QCuWHP(2%XcYa=tr*If| zS{dm-z&R~#WCx?}NjeN%%X~e*w>-#Y!_=lJ=-6)|H#*EFGzkd!cBZxEet9JOYZgxl z+;HdqHy6I7MC^b~^GFa90`mv+vb^_^NY5#W4&D;gC>CKLnYAHzZqd7Zw*PZ+EK8_h z)hb2BtJdgN$a4^`sLtw_qrV z$1i_@GJObfkkVx>8h4)TZ#tJ4|CH$(NU-LhN?Z}$N0ZiZ(mx^HcYU6W zf*)Kmk#=gIR;~mgA151UJo7V3(#s;02R9w?50>V*f~;(mS$@>OA@5r2wP`n&l&JiO zhAv~rO9A&n_rro6P;PR9MBEmXN$~!`a^k*kyHzNyF;0M}3{=wQ=BF@6U1C*IQsb~xfj(83+WDJ6}h(&vI@i$=-_UlAAOxL;YuSPQJ5<$!HBODyo zhAb1r8GEB}=Nt6{Gf~sG3SJ~APJh(9p{HlwT-5m>otnXRl7y=&xEAPn02UzDza(|; z&KACr zXTiQwSiSn8Qw?wj4Kpy@DMSQ5yC#Il6)NI=Ibi(6;mxsYVNiSjJTltjc7#5j$?5LS zaeD><45@>zr_KnP^er#`s28CS zszV3IP>8IIk8&s68~v|iv?*g$Vc@5gxRxo;UhYG-q&!fhxm^|qhFTKCq#d_@kK;0t{7l4zqrC?88rYURbFV6AXyuMUj+ zb{mGmn2my??glXUS%XG-Cq)vsBoF024+ zqkoRp<9*_sT(fYXZ{PDjkjlW@)%aa;HP zChW~}e}Uh}y!+=4Z{EbKaf$zZO=aP(>@f`QQzYru2p1bN)q5g~^w5 z+YXe=4&z9CHT&(v?Ya>GIv6biJfum9k`XAL+ zjXXBGyJ51`);D7%-OrS%WNbCeo`pvfPK6lavC6e?)05XBR$CEh8>%~weKhXmsWdN9 zYFw%ylcV?8iW3|z*C^t_2T8ekRO2Pf9z~gp5NWr>=)wGQxx#<6ch2jT#ODq*hDK_Ih1=&iY`{cS3>$+;`*UP9SZLc4a2e z*4<$7+=Rr3^baiSRPg#SgzmRxL)P=4eCdMblvmSP)Si6*OdU!tBMIZP#XMo>9}+&Q zrYA9SlWL+ZWOP~VVS4lJ&l8W0(?~uRE1liht6?+TtSCR=c~4@5Av1=d^B`j$(CLnh zeRn?!3F;O?Pa4+?s)ot3OdFJn`d%K@wpjdp6+Dy+MP3L)&i{0EfT|zqoT;~40Q^zf zO|S+mkUK=+yX^!89{@$SS}Zkw0P%@*r%Kzh)(&5;sE~m> zO5ya&jRMQPXP@yR!9!J^Jsw)koB3oazxtQh1v7hUuy$77fhKb}m55g&F)O|UL5c*j z2A@0sd)eV7iG8BJ0+y|_leX3E#)Njk)+FWxH4C@vhJkD|>S}mjY`lZ#vr0qZKgMdv z<=-Vc8HkIF;;~+Y#z_L=yAL8eiBS?eWpN)i>h#(>S*PG%3>qGNo`+;2%=^Qm`SQ4P zZVM94%G;M}L$xLnYk{JX+TXIx0kgL!5JzVoRa^#hQ}B;f8@5`gEn0P`rM>qam!4-9+?EIWB-fog;izy0zVxicW%1^&PhUwY-@Iq~Qi91XIit*P=MVloOvNDG=a%`_JENCXId%R9l;D z#-xo$r`Pw=uIuFcmT0zGKH9P+^CN%qhPBKqCgh97jxWGmh~Zt&n@X4GVU|0fu{rr@ ztY06udLW%(v1`$|&M1dx^xKRksu$;vz8m5y-1awR z{lqba&H@m4In%wy)gDn5ssGa&p;vDfn(Nks!FV{^$|W$)KX0U^DzroNZ~=m~h@T@; zS0O+UnV3!N3J81i9Aw#Ajn)M-kZf{Ry^pQ-)o&;#{U=$sPD`b+U!0d!Cet8L?)Ix= z+2w~dhZ9#lds2!(aH>kjl2U3v$rZX)%r84^cwr0uhU4{%q8qLgT$~U44<2w%@+i>5 zl+#7E0tT$aRTksXe=eB8Zmi!SA);YZhlfrKTvDT&yF$TAk<5Zn+Bm}PAtt8Rg+*b^ zsh75M4;X@-YWfonZ*`d?1dSAzZuR2i4rk5+k|hFyOMbF&qMPGbjaWRISYZZQ>8%)#DlC7k^)|v*?c+A z3>8&M=Sah?@13g7I?IvFZ(Bvc1TV~`Smr)$*n7)%-z!Od*=8YZ?Cu?ky*-7c1FRN8 z$6A*wt5+0LJGrT% zn2ye0_FbO_H9sDr?+PgdL*~x#N3XPFo{@PQ5%d=fs=*g-@xAwoyBryp zU7^>>U#cpnnnb@Vaar04Wj`PY-^F7YZu}qfqoG*7sOjD!2o%Osht%UbR*0G9gQBUrg%Fs^yOxUShgTLaVD8@wc zyIr(()%OuY*`rOg?Yk`Du^o>>-zH;n?NT*FAa7PVUrP)X&2eHmqD!=^L3I2UygN+c z`jeS+K{DSBMp!+4OtU(&RM3icWnQm#t{^sRML22KRBpZg?3(jnIJhpoqPJuI%rA0N z82UNmidthC%0EF{9)COGE6|U>{j7!qX$8uk??lce$+#WV4nhLrSjawaL!}Xn?rQ&; zaULC6n5P0sQ8ejt7iAc?^9@=|i+3R~Ziu0Z9Z4S`$*hiV?HaE)=OKa^xr(@h0Ysc$*Esx0=sLo-* zb$8HaG>VkpCKQkSKIJ;W~`jvsDMr#|^nno{l#RH9#3&VKs7y+RB2 zv?qd@X_a^ieuCz6twr&onmEGyv>imQU-BbrnEY=J=QNX0_B5pI*j{QH6%)9z z>rP2Bh{;coB6l{7RT*WMO_X`=jW_naGDI=NE}ICY8h8!D?)(ZKR2sGU$?8|u;K>pP z61dPtr0D^E>sN30J7?aV9AYY`LnG4Mx#NczzI51_{x8BW$Bs7YnAq=piS?O}^gLNR zG4hH;2$3~lyA`{tnrPAUY`P@omN_@qDy>;fV_E4h;7M@U4>8voS9DREr%xnD3Wa63 zbj(=+LhK%LHRdgxC)OmkJ}6itTkxM)NQv}-yHxaWKdg|$ zVT;OnmTr!Rr+YQ^V;sX}eAgiym%Wnq1(Hioo|QczkCb8wu+S zo*dB@gaf8Q=fA=@1;EP)B$7jY_0%)Pe<35+zV};p_8p?cjd*7|?lA7;3s(0aUP^1f zhJ!=<7mL!&xI1&ffiQq=Z#3p4XyME5(s%FBn?osW->dbn| z8uTtot6k<4wJQrOtEChw$4j&kR%}nzsOI}IQ|!*zT=c*xe4 zEGBeXGUrBcLH(~OL?)^0F4-M7p>K_TyYP}r&jkv@9}LR_Z~g7lm?{Sk*UrNktLl4e z6z)e}H>*3bTLhTP?$5CiV-#ar+#8zk!t|~BNp&C?hHNaQFYI$jiE`-_hLHYr+F_U< z@T%%-#W41CjgszS@W6?6RGxQwupZrL=p@FDGS`Hf6Bq7_SKG@9={0&BcdOB6)H!-l zmAK*=>)ner?P%VQYU7D>B0f@NM!y06^W+nZwTIRfU)U#f)XkUQ-sqx0&bg$R*yjOq z^n5I|%W^Z8Q290&F}y)utYrS7(SNo>ruc(R>mx7lkblzJ3a+=Gw4!e>l7))Go^rgg z^+|uuVj_x42>(On+@Q42l+4%eWSNgg@1f+HL{;24Jbc^RJSJc`@=Y#K#y8;$sYWVJ z`PoKq)X@1EO!D*t?Ziw9-e8#7H&;0PnjX>Htl7_=KHtpH4~d;-}AKBK3AvC&q?4kNVAu-GRht&6sJK(?s?yG zvE?^G@{1+7PlTf&AK~;L;*vE2PE;`X#6q=KnMApzUcHud>H0LE;+l6(b+9_K0$KHe z!nU=JS%hyM_T~U~8OgPXq5)dHPo|5`f2iNq)hMOeBAi)+q4z6^C!-r2aFML48_B$y z$e@Am59rmnh|R$udTz(m$K}1WhKJ4nH5g3|P=-b53R_rD`k`=-fWl&)C!g zAUIG?0#^)epi=L8nU~UCwS}%#iNV=Z!)YqV^-rvAO#}QYY(zS+-b@%9cR#^sZ(dF!`yBuu@P2j;1EKT2Ti8a?emlZ7?$|1O_q>nI;wqs0JT?SLYv~c(u<4_ z)z`k8cinYTpCjM}-5Gc8d=)1fU*IpFeU^iK_CNWak|Uafkp-S zuQaOte!XObWn%yJ!AyhnOx;&h44xFs>2{ESFKLh|Lbd1G=ZYb^hGbcgNO_DvyV~nK zZkZe8KEIf=K77*+BT2lF5JMuCrrm=m;TKl^*RuK(#7GJ~RDmS=4=v}gcBwnwW(puEwdtt##wEOQwQ>z?MkuLps%bpRY%DkW)qWrSiqj9&Nro*!@ z;d92Q%(Gl9B{Ofm0iG^D$E!E;iYwxWjH0tUK{n#$>jHoD$FhbJHnkf;C$WGuRV2-F zT=Y{V8A*h0uzaoUWMy*7C6OqSb~HHrE+tj`c=4tY%SgZwudzpl$^zqtCbhQcap(*} z$YO)YlJ<2~4k0cu%ShJ!xmO*dm=>9OdMn)JYVZmX5+G@C%h^t9^qM~z$$0m-JG}(= z9L`{hO=9-do}y{dhm#uCYo6u%0h$!di|>7QC{adt0}`7%noe2v_Ge9Na6Jq+5qgPB z4%5bu9OS$P`MK}t*6Y4+ge@bR`ftd3Twx2MtT59t1XC?5#`h~u&D8f4Oh*n*sQQ24 zc(+ICB-i=z%C+OB_0qDsagHX`6>GZ#!>d0R61w8QrE+=tX1?d$``dr`4F|`pS?j*9 z>pV%v2Yz;|TXZG|@YGBFBaH||UUWd&m?WcJOdj$Pr!DXY-ug_`-@2AYodb_1k&P1`0vgfO141k~;h>~xxy4s|wL6Z8 z&&2XqCyNpkiV@{WBygL}0}Znxm!$P6Q^DMXS%2I*^MFHAwRfo{N~KB{UGJDDg@+gf zi)h$~9geV7UgZQJbH-^9M>WT15ZeyKHKQ`T9AoOwe%y%X!4sKRm1T*ky z0R0e+N%PO_)?msfm9D51Ti?;fN4JEmom_f@1S-MwAW}TUy-Nd)Z2)QOH#b4kpRP$@ z$vU%P6_nQkL&whg^%Lh3^wHS98`+Yx;M+g3AND*NQah}Jlqv1>Mcdm7n$(wY|4z31 zIo?#^;xL}V6zn;g;zD4;@VYSk)p!V%p4Fd+-qz16}A;n8a+>@btxZ5(jKKkr*j=>4rF*rgYGmtZ~o zXx650`lZ!C%x3Vm1+{@vPQAZ}OP}sTQ|}h2Ecu{H8)CNo z!cg?6sWJ*gTaBbKfIW%fsFlG9>a$SS!Fo{YZ!sm}F177&wQlC5$30XiK)K9<_Y(-J z*wV=AZVqwVa2WPN`#%_wMP>%-7DqVF%rM4HBSV1UDF()|W+DiGRSW+^3gZj&Z-XzO zg1tIppDJ^AJS3?^?2LXenZ6Euc(wP&qV>Su6;|v(+#j z4`UNm{mD7DR341VKbape1&xJAwd?2=6$F1=r8{T6!=pO}-@!_04Z1Ejo}KAx(0o+< zw~k|T&f)zQ#nw2A8Hrm4G!&Rjs%}9cO|})4!wwqdcMR#B0 zUcLKtswSQ{OI z!8P7~pkicFtJoFz@~lHgAQt3PHX#re^;B3Y?#+$NqYiqSrQe#4-%sbzL6|>c?U5s$ zWC7GMkC?|F0zi3ZV_0yZ=T0}LOQ{}N_4k8wgjL7X^RwW|;upKITo9hMpzF-NG1Jk= zf9oj<#Za4TRUAW>C7!piX$4nXIk)8?c>m?>f=c9{*>&Z{Jy6r9y!v&g6UfVl`p!xm zxMz?F4je&C@LDMKAUueAcp#OXbJ@HM2QH)sznt7>OFgjuaK}M4(%@9=2| z5lP!A!){oL^g4rhn@vjk6r3YyU4N#* z(Rlw)3ARf7Zb$dUb!NBNHFhAZ2iJ(~vae8Q(b=CEBi}>i`~7zdzdtX{LauE)Pi|1# z6>Se*Ylq56oU45#>SBmdxp!?A4Lk%RB83E3+Pskh#PV`!$ zTz^vemM>E6Ommn+vF6-gpV({>ay2UrZR(pt# zC|5F18ph9|ZqGy~1X)uisY-ls*D2#`kVc-%YFSRT(TP78sbhASnhGc9SuvdCFJnw9zO($X+aIP1epHDWeOqUXl~{E077-L6Ugv-F zS+_Wm>g}|ry18`sngxSA_u8GuFf!dFelXr4!o8g+U-a$7EWP=&n@Q;w_sDtGPS{?^ z&5|0}>H0%a_05xc=wO@qsbFFVKa=-_YXqSIZFI~jG~4TK!-YIlb8w(loaI^4LoQOQF z)B7NIQ<~q!+;iI}tRamuMHxzCuaW-iUR)S~h?~mCzzp@k!s% z8;>liO6{!Jq2xAAkq+ksh2l=&F4&M-#U;-T36W=7;StQ>;?hn%K>n*EO@iD`t~RhJ zTmc`VnXeGg)jb$kedn0 zTHsdG#5RXE<0;xOzq|2|!pDpujHzws099{_rz<%r@6te#_qo~pZv-YmW6>gs?k;xU zVGK?AoHIjAzh|;AuVd#ymzyNJph2D}>)sn35l38GS+^=w4xagZiz+iwN%sy2HCLiM zeTzuA6FE;)+oc)q4jvIvrh6G)rv5syVXj#<^U?BFEvkGP1}7T9{o zu1XtG)Fef6Cw3#L(Jn(Byu;xSE21*FmFk_n>?aN_ssR#Eg@fhFGVw}R12#wpF|yB# zbwuNP5szBEh7)5c3D}o#yb31nW(?W2ot>F!e%1%pzC5tUm8-=CgF80~I`>C;n?`rI z0uduSSvlkGMaiI!h)RgL$tG$Ex#3e=2XK!cKl&Sw3Gu?9FYh5rk0Tpd;+oqXCo0?l zobkRk&(vk=d5wXh=^;~!CV-P~SG^iz>`?Rv%pJrZ>f*o5+e{vBx}M;!vhFe+PQ8B@ za^I!CGe7nds)-pckEnTg_H}(Zrf*s!!D5B*LGB7ms(Qb0^w!L&>u(!+q@A{rz zbGIBqPg=a2M$cRdq7ll*?s|D6B_98RB}IXPZ8OBsIcs2ZPqIk{|1XbZzU*|xOg*b) zCOL<{QJ3B8tVDSvtz3X7GggPv@`SqvMPZ_+jg@P!);{p=RMv|nW>e2L$bLFAWvlsf zg(>eYfO^DBD`2AVO5RoeQ%^Sh0tP)M0l?z>Gb9$%Up6+ZAAhPnyxB@yI2`g`dOTYNniYZ<4n!d0S ziw{15zhFD01TS}>HhpgwS-l+_^XK2XPHP~=a99Wr$dV{<2s~!&no6bje)9wZ+lQr#~!YOzOJ%Z~ykoO|4 zx1Ns-`%v15%#N3-bTe9b)K<+{ZcpNGBm)j*rsH~LofpAhL*ZJk;YifPcZJZv^FS$i zCh)ENKZ_UVjvc3dx&MHK^d{IuDLM6C* z*GSWLAXdLIu()4zwdUADOrd8_*!~xx<)?2zy(D@G9y%k$$^5bCjp#bCQi)Sijg4;Y z!=c;V)A|?doGma?Q>setbKm*bp+DM<1*SBjKCk^=riYk8CX-#T>`RWFp12eqJ=xvz zLQhPGh!sJ0v_w?6&=32FOkRe16c$#9{(m3v)Rup%`kdPl!96IK0)j{}_n{BtR|Ag^ z{}RqXQh|t-4P<5FD0#Vlr)`2_OUPXvd&p=NB$!95kv-_PkM<#RL0F&5at2hj$k~76 z!7~OFMVztFX+0`J-hB81e}KHZKW+Id|KVKv;4mq|;J}U^D&qESD`q6?U6vBi^Agj3 zV_d2#P~S_`kj#+q>TYG$X1zP`qdoUO)~Mm^H}2KpH0}j-3n=!GO~&>>MgTtfjs&mq zyJi4y$&23E%H&|Lea-HXP!^Lp&v=iYT$<+e6y=f+#WQqQ2EA^Ld)w8aUWVhJ7fh4F>M?4wkOTqPQ?9E9 zCXB#uNtH7os__ABGfNVns4}_jY#Bxf?sL}EG}V3ck&vC0#5;M49E{w((5&+uv?-ne z--sT?qcILaW!p)R6B=Bj5F`w@jxQ#RE&<9C6*0?ZgnHxJ*@nN{R9B^2KnW8xLFuxl zzBR4;JRe_MuZY5#opCB~3+LB8sBtCSZNj>8A#N8W{_8ZTZHt@*bF@3V_hagE z$zZkla3_LeU)>%h(g^A>i?&i;YUoj7CecBEnYU8NMUF*pcP-2rjb>^(WKtP@-w^{A zel%uH@3?szz*9hbC*)VCZ8k6a2K^~3<(F846)-iJE5nPa^6Q1gHzdIY@D6;F1Cl={ z<o9mry=q~}fMstRh#1=#GKMF^IOd+lUW~c!QvN@_= z{z2=<76}0o;AK=xX7{O?0 zTPqF;4eN&7J+*5slF9+wvUrHeYZG!8PL7teAhG6SxL0=Im8H0Gtmc*W^@RnB{hA`; z@3)Evm~U*YN?k+Sy!qH6A&Uu*vO}x3X|MnD9f^C0ac?E*^+flxjP6et)=>wm4qL%5 zL}N}Md-TXv)ul(yKR8(8w4K^46vo2b5nzJ*$S_jk&@A!KZd$rdmx^~fA|l_d_fQiW zWU>B#s&IaZ(?sZx!1<>#bdjYN;5A>f9=~Xdr~;oHOTX8(&7O0gc66nzi27lQKF(F%o zrw!7AFe2Z9mNSwb_8}{3p6v2fp_DLQE@ViuJ5{3p12T_`A?G%&-Jq_Zpi5EMG9_2lddg{*~8Aq9%_e@I@DzwY(t3!d<0&i2BgDu zJ12zAMw)Z_0#IO_=B&|w);?%)nrXPZ?9wpTxfmUA>v^}A(~)U8i2~sI={v~}l*uCl zKth}%RC1MYLd)sZoAkY#F>_O)YKQ(my??^bY3t;7ptK>c57fLG)zKl3%HqZ`R} z6wE1?kmPicXa0rjoOJjZ`oi11g3hzC?F=mRqp@5wel|h8Ll-=&UzD#qHyw=_(30tb zO}hK_C5`o7I15%L2naY8wzQ)v%sXT8z3_GqeB0~ZvL!>mxxqTkmcm!?v+wONO^a-o zrDmjCs!^>ars4J>KqHvX)^McIXCfF*qMNM?+9?bSW==_d(-@uo9W^Q~day%iqMi-7 zM;tPP-=`?dvHh=nr0!#$;ZvbUVFJq3shkj<)bLBz`%Ss{?*Gw|WIU}4UIIKoO3|K* zPk}wXHm6bg14(^ESObB6@5gXjw9-C$+Skz=KbeeOFs79Fqhm)Q6~Av2)GCqQcV<># zFJm4Y8&B$9n?#Fjb;J-`+`)y{&WC`~;Er=k$A>fJaJdO5KCjV1qhSc|vQDwcYrpkC zs-Pwf)w3Tts~-khc<16n>a>cL2UrzKZ#-AphcqfgHHR z1_xxb7`Ca4oo-;xXSV{Psp$$w?rZykYnDw^Xjpyl&@LwOiWvUO5c9|asw#7FiXWI8S1s)?h z;2r^8$t+BzFY-6Bz=KuDv7gCW#Haa~RJZx;NQ3{&H;RD`N0t;N*ETtU@qA&!^X?tL zYmOLN5S@e8?W_7-Nn{g%?0Cw;5K3{2S`YbHTUV#ZSXcfR|Bh(^IpF&seSRRK2N1zS zU5ND3a=Bc)#7O4Ylpei_nZ(SrqV@_d{BsQq=Rt$N)L2wYD*fDU->l4jF)sX*K}q}E zk`U~~GYT0rW3=HZMhr`(F?5!1QE8IST?kgV0!1*);_7B86&mVWEEBw7f|U?h()t=H z%pWkvbf|9wo{-k8C_aT$dT8L)A9x#o`@1IXbb?>c&~lm**~@F%`FyqQp1!2;PNn!^ z2H}#{+lhkR9YAsnIN6kAi3f|%JH`OEH#ZPdYKrhdTnxR%$!>Dni4(Ek#t*`(!A5t1 zUHRs50mFKjZ7+hG3&OX+Y7#qB;^FVbA|zd7iw3y-y2 z{%3!JF_OS0wYCK zL!CFG#t&Pft-s^Df*yjS<`qr7h<`l=ypA?3tGQzt67#o;1K)Vg~=BcEDx~ zPz5*jP2};D*KhV3yEm)9s^WX6R{HuqQr}^mmE`Zh2iaN!;Ad93?0I(?pSRO7Q#*NqFDIC^ zQM)UCi0>)iq3H3K4^sX_R}sk-ARkGihzs4-PwXD+TupmE1-8Wl_?Nr%{(7X^{hQJB zB>PS{MtCB}0R-seT?}>Y9P}lWTETP z76qaim`^M*fn!feq_wxvQFXSpA)8e@liI(IFNnH0R)G46at7o*JD%>H2E@Sd-?NNr z(r8g(Hz2faoTDhsEr5CgOPN7_-J_A|Es6h4#SKOFmA`(N(f$hm8#l*J0%W{gTYe;* zSE|ab_X>R4A-$5czxR>$7;k_XB%etd3&I4Q!M~8!`S+h)lducK!WX}U++;)7KGq(C z-VHOqrkngZypyLf`JB)8!MbH5|6`Kpwd#ZDM_$9P;N!8lZ`rr9k6A+43Vz~LWQlPg zM|%Tr6Q#jB@9Ur8m^h>7Y-(5{Ey#ben+kakTd}HGa4z9_Q*@M-%N6m@@+R0|Rr@ki z2WypqyDZ%5Ir%L}&-8N}iesTRdbi^k8`XO8t6-P{`h&IWiet}c&qgKYtpcZ6jM3}LU(e1Qdj~tTes6#Ts$wJv z4>D%yk`@9f^CnWZ5Drn~C#~zxSI}>{?qtbt3gndqT@NGK;2-!!stj2$y_Q~28oqkv zZX0PTvHr05gq4I@@YUatVpm^e+bQ9bn9f^xN^zi>Y?TVm89n(q=;D&!WHrt@r#jk~))2a9V>P{kg(5HMjmLJRD4xv2XWdcu~sXVs4 z^lAn7TtJUdQT*s$PRg7sn4}LRxI*V~TxV!_Sz?RvBRY|$o*%ySlO`{B61~4BS|%Ea zsdH7%eQiNgF8)VQKRYhlhtH%t%`$hlxar$SB-AT|^Z1LRTJ1XM`oe{gOH*&4Q=B9U?^xj*=#uWnJheA=DhoU#)g z2)h0)x%Y`F7Uedm|1@3E>KyspZciG-(e@XnqMQ=I1z){1kC zl@dw*7Oon?qrzU_4EL7Wo*l>x9Nj=KX<-ebMBoT{u~cV+{u;neEPH)uj-#}d9v1@n zP^H%pb+Ys)#cb1!2K9C2JdBMTzJLq}i?yiwAuCsnX;? z!O7$UR{Xv$<>O>5_<_MsFEX~UYS+v&Yzv4ncGXdKzhB_t$tNsffX)}n6omTmPb^vN@vYC-Wy+iAs;p0Cu1_Ca zU>UP92-19-_Ytc&t^u&H{{R?azz-O4&0?5e$ z`x_VETie(KWlCNjVGLgV5W=ouJ11g=YSa1EIknCTI6INpZDr)Ic&?(uEo)OBw|xWe zKc|7~%%GEACSXu9SNFPQ_GiR~IiT5KLR&sM!8JP~btPHztO zsIE;9hs3qNYsLo3yq_8|D-=tP&G>b_R3x_C?sDSd+==-<{S~dlA2$?PCd4$G`(MQ` zh|(*4rlrdNiY)SlCUYXHw2v)ke-HJ`<^VbBkjl!l(gCtT7Y-wKJzVw@`{F^iNN>z=Ifd7D{5e6;0DNzM zZ>N2-S_jIW9ZmjX#Z{ul6l4VVmRwaS%1L^hdHg$_n3F!^|6AAMzG^E9sOaY2x%sEv zd6_v(yd*;GsHMzKQ4-MkOto0ki*j``n_fDC1Nq$>b6;Cap_)3eq&Z1WN99iAxx&vp zFB?R_krsowv5t9%A8I@#A_|RxuZukP&By!Hqmajhvd2BU4Q)F0I7ihXRrG1*smgya3X zHyx7w8n<2c_vkc62;rxhv>vwxHb+L;;B7D1NbTya|6*yI3~sXASO48KsPXpjC6|iObO-Km7hy_^mdz`R(2eHa|nTuHE=N;l^ed!J`Ks?aM`9Co__ z&*A}(^t#II_M-Y*CTofsFBj@9{VC{o3r2KhFA1-=9+;jm62wSFKi}LyJFpAn7MrgD zR)Tp8d1DZ1=s~h|Hdn8CJb66zFm9v(c%3aR`NMTMKKsNZG^Q&2cp>jXG#aaDws-p5 z^qwxY0HcoBhqt|go;r62{es`p6h^HL$z~e%$G@V4!^N>&@ZZxLP)CO?^r|G^&m)}$ zBO9+bYEkS7Q{}|ls>)7SO2m(EmzLoN`a4B3{`v#w->KAcB~1@d#~5w=$@EUQ=ie)i znZOSP=HY{3J@;yV)JtjkC+tvIcyaeQ-;Z=qr-p5BQi^4sv=RZ^<`+pBZ8wWSf-Hz1 z{_7?u3k`!o^xcVa2LCQpXqQb*F)g!B-M@kSKp`%p&-x%^$o3%&6&YbLOx`tniooWX zo+chE0Oi@WjvR3UxAI9%UK}2RYsMP74BT+5v=rkLuNan~l78;ueWM!*s1=VK8>+r+ z;v%_Ei|A;G?u9!vEU`3{`7*mbSYz{_)RH1bl=?@Gcl|_s2D{l%D(EJLcCAc$&Il1I z4|dr`1>N0B!B)x-x%GX*&u@TXo*H8+7#c_^h3Navhj2m6`@LT*81pcD$XU^!8U}rW z1@MugviV+rE)F`Eo~t&j5)(q0iAPg(p3t_9BCYC)FT5@wQaGUz0_59ln2Hv|( zO`5uJeh#9S{rnl+#eT|Dw8%5|xS36uV?MG;$+-Hj=PGRq^Q+TCHJ0&|4OQcM3jE9# ztn!g2iIc3NMgJZK6d|mW<03wCp4xy)@UbgS zOqyOA#}sHbXG|+oicgEQ7FNrwGBjVT`wv5sf#((TV4hxkj?{a9tl+9!*?F97Gx02To$E}+K?GcA5 z(9N54Cef-*T?-isEZ|Rkh0(sgM*iHa^lceznpRi-ZtwM~UCxUwS8s&D8lQQ4@E7d7)BQswrMgU%)|?5t^jHon zdj6s@^r;#nFSx`nz^QQP$!kWrTLvV&nEKb569LjQh6;jUy>2rVHg;O%uU|v2Yki(|!af>b}T#W9^kDK)&FEWSq5mcbEEIzGewFoLP&9(Igzw;%u z1{z#C1*ip)9=$F@uZpnQ!Cl)v^S`7FLSLK;L}o#$K!H9_!+N9TXsz(F_zVu^kx5St zPQdxdyi=>ZitP^Cy=`1Oo;ZacJWd0Zctc-o*5#!@C(PI=PdlANEV)CA^OqqM7 zuxmI4u!%7Kw_Mq3A65@upYFyE?FRr{bSQ`a*gX9JUnECZlrnF!NK)5N!%x0j zwV#^Vum*`eOy-hqu#=LNx7mA|yToHuc@L35<<)>y{o+&dzD`$dlT5gCIKIU2RmE_n zq$#|wVmi5Q;JcaAUMY?n1GnFM?7aWUES3yC{Dzn{)TK}}Aw~xLG2V)^^y&_$3iEvz zPo*r=`o^86CWe@y#=Ymxsk5>Qk7@_F6z|zPAA_LXf4r0sbajPoOpzMBztFhLn|psp zG95W07j`Q#pSkZ1ytvf*&@&Jj=v25m79H=#cu~=NGJe~!Tq9i=NUUFL+Ay0ex8jB? z)P)_g1In2FL;*TRN-93FW1%2Xi3>_neK#77x?ZqqYv9-@4mzzM9;kk%Qy@0z{S`35 zONzpwJ|mLp#b4qt8rg_Vbv9SG>B|bRQC>rklH{LW&~Z%totnFaUUsDo5%jVpEs-x<7Yem>NZ484}l`ebfj!o~*u6@PfOgaRz77%&u-& zHkeVD574p@PztDo%H_hj04thX1s>9C)b%85F zfQ|WV;6>!H(7i5wCfAryvL3J6%r8vdBt~AWu#S%R@B39sFbqQAqadxvoM2T{A-pO* z;FM(KkIefxKxrgWq*{cJ0vvbfYOTMH0k!Y16P+4@l(9B+A*UH#wRcou?vJ>7s+W!w zg{|--rWt`ksKW2!ft>_jK=WIAywU-YgB2VtScCKaAVa_Jz9}bV-R;1Z@Q^~q|KbBO&Jl!q-ZW5_M(FyWN=oe}}dyPrq5 zRQzTo)&=Z31ro;JBdJ`#-FqGv2_a3)ULj1f&&ePi2*ZoFbtp!pM*Z&A%m04CJK5`v zg4EZ!uMV!ax$yK&)7UOy(nYBLW$V8BaIX8>BT9Ml!3?5rX+U{0-%CxAGI^dlByC6z zG*hK(iVLjsoVPx|jQ^S*xD`z`dojc$_=clJB$lL7agH!%(rRCNLi&MTnT0UD%8o)? z!gkIuZ!a@xD@Zq>@!#>B7AN15)aY(jR;$>)xfDIZOY1I+*R=Y-sfuVLgE(E*n%@dP zSH6<9%wUUjwti`U?XIp7#^(apMRH+geBN%36)S?&*<{)C=fs!TVV=#?NZ9jYAZjn; zRq9UPw50gv%c?M^#4W=|J1onXk}GG4SuEH|D|eA>wJMRXWa8h~?T8F~jl;F(zpe$% z1{VSR=h|ccUVOY#&sBc<{4ZTH}ge!nUO7J_U7#p+|il(mng5v z=d+__9lu7${PH2ue0oI8?8Cj)M+zhl*%w{1)E)sY{-npI?ut2Z3ImLU!&kGX^74aS zl|=b=N7Q`e36(e0^INKL?4{ALj@+YQa^55eg;2utf*ULVCfW+W>(HqW>p0(pWsVo1 zXm{J12F?ht3sSOV2HY7{&v5{W{Jl1rLAFLU31ROfxCr!@Yi$RnJo@xQ06tRATI*fU zTiuZ0JW02@f0c=gUe%^MDQ3||=q6zH5{mU1xp}7fX3uR8HpAOVJ=9ByS7lo$r25ca zxi0p_&SbyQ?%^{e+W@!mul{|ennYYo=tVp`j18Wh(r~Z1UW)LdZtKqc_ifH9U^tdx zo|<|R)HBWGu@rF_Xj93Ig`>~WnZcDID2g0NjuIs)yq3Q^G;I6V6Xb$5tlIqc4{3}n zUF9Z~b5tn1>lZJXs4Zb~8OD;N3e zOdDP_4J-kxm3Odg@TJM>g%&%D;|+SUNBgZCr=sIn0_#A6d2FbB)n&t6c9=dAUUDhi zKm|2L)rE!Jens$yvOEFZ(4dKKb?oUn8C*{$Sm!#?_Fu5I=k{BVl$Y@Z#|Z~)YN8qx zV0?6cwEKnc|57P`LgMnFDwFcjn8VVoEb_&oz3Y3fv!Gef?yJqe=+<$VrDJpwu6m-I z|CDLp*w^i2p}9<~9dE++`B5e-u3z(a;_Q+-o^1Tcm%8uptu;9wVhSDpgt|5zs+lNi z3nBd&M;K74U0mk{la59KQ}7PPTRE5w`Da ziGAxgxm#?!KS40)zw__MPYYGK2=?Q!Y(b}4Fn)*Iy*C-q1BVNe#_cL$_KX>!d^x)vFmQV3SQwza z9oR9k!M7ENyjRqcHss%P;X@WG?;{487{4>Ry&c01bzO4MvfDXgzh*!JqY`D`&G7TU z<(m+CQOZ?}i%}XnBWO{mP&aYdtLy|I0 z%aFOb)Y&Yh-p z1q_1v#GPioZ^vn;IArB74PD;f7?|FMtO=rk!)qACK&R4$u#HmNme8aZ7|*%VQ6F$X zkgGAX!z;^NuptFvrI*A8Tj8N3^Lc6~Ogk5pZ@z|OY6ya`Y9O=jKKn;sivlZkQG~<+ zY8Mr+VtnNM(!Z}RAthVdSG%&D71bEYX(e}){l^U}%-z-u=mVR#z>jS}BbFXpTwDo{ z-l&yLR|5HVvbfr$!Mvh9iY?fAfFcgcxPe4kVbUT1l-c|Zh3K|bEUPrqtO3D~WU z(GKhk9ww*1$al875TFa?1-m2rr>H07d=y!*@H2%Ohe000Svjc5qw&k_1mJp+lC4e8 z`7U3KPzV37%iM$1FCXS)`86Ch;shoFo3n)nG%2_?c`yc@e>>v6WS4(r2-?$1h@`G8 z{M~T5)&a9B&T#^9{zv4;iv$5-^deUuN-r$my~?B3+jt{5HKO@}&i2zICRz%TlrQZy zGEagIS#sZCo35Kq5S;B4NczZ?QReUS?nqjLbF3izI~66_@OMh~JKY7S#r1|$+f^JP zdNO>YxwGD*t2=WUum-Ahm#=Vx$tFZ_m}^la5z7LI}ZZc9~4*e7f*&AFrLSpA=rC$X=-IPMO`ct2GoKcbznt z0(cp{)%X;z)u^(A^B*NQM6zh>5$eNfh1akdmCtYY7eY)RT z-R^77oT(onu={{Hr=g-btB3QQ0g}c|s@A|$)Gs2sIhW1rXH6;j3;FrU&b zxz%eq6EN=>aWZDO8!k3g&BxB6w(*-Is#(K*@b%udo#S*Y9qEm7Ri+~U1s)XTNKg`p zBH^0h_D$C(3u7DG9+b7Qs)Eb{vw@HKG zE6tv>(p9-L-MjcECHvR*d!$4Ni#*Mi$hhsIAk8X^6mV`V86 zZ^y^CooJ%xP`PvE81<~-pVh;5KwmFjDw>+8`#?B;M)0~a3kLuRFwbjqeTJNu@9-%M zxkn)do`-qhv+1m#`_C0Ak`O2QJRfo=S7nl$^s+ zdjA9*-Y9c3(v6qLWlPCi!ir*2c*zH_x&NN=L~5*7xrXZ)PHtE=9w_X|4h%#j*+q$+f2-l}4o z#E@ES_1NeO`$ECho3c5akpw=!x#lT+lN`&Ivj2u4QWj<9|47vQX6f_G%a?wZTf+nP zis;&~@m%SFA&{=BjeDA?d;5lMke4edBtj0pF)DQ#H;%4sSUQ$0`zk&K!*+~GYc2~F z<+U^WDi^X51PP%>__W&rd#1~v-)69n%{#+}wRLQhCyQvzZHS(zkxDL=UVHqCM z8YBzadmE`jX|KM;ypkMnkC))MG)DvrDx`@(kmUKp1#tgHGKKEG`~07n#xr$$BpUhw z*jQi3vcZTTDBwC6Wq;!=DinC2#XgWNgAAhgqj_7`IW_d?EI!hL> z#e*_j4>n{7E4p58U3xifM)=0we*lyCl<2MVkJREW)o)kgA2BWql{oFpP%bjQKk2Yo zIyLn-Wc|RDWVjrbO1p3*{$c%QJ1iCo?Ka1{ zdlU51M8>aQ6|MK}2`KP9YV8&j>&>z8wtu6v@)tK4qe@i9KMk? zLwS+-rdHU`dRG#M;Ux`=^se<LsU6dHFHxi zk8FbMXBt84=42N0<@dzoh*qX-nj5tUEFKC>)7avV%hfWnTX;f`28f?pO@n56?rz6-@h*9b_&!_KCdjLV5a0H;8tf3WkN|ZSh`$5J@UoKSr zW0`@|n#1iS2EK-Z5gDl6D~=}V$bFD-4wE=3rQ`9Udn9n|6>x_<94|f=^1$V!S23$f znyn?&UYg45?PFrtUubyK(DS;PdV*%zwmA9HXEbHIoMp4ZtWftAwl`No5M+S>z#$V+{wo3{vD`BGf4uSb;I?B1S2; z+Q?Gn3yX-&dC&_azDmS<*~-aYvs0rR*&RBt*E5d-?{>Y`!AZHxM46-V42(1X zf1*;o{>8#|dn_@zE#{D@^@vJ(e{8*7>x=TK!@8dTN7GqF#o4sY8h3YhcL@X^+$FdN z5AIHYK>~yqhu|851c%@f+}+(>gZs#y?_X;l&YX>OKizd-RrQUzJ++%5yn`9uS?_{m z30a%-fJVCQFjY;qZ!hZ{Ru%aPb?=3dC-3Jka#DMO&jR5d8t<^+&8yu%@V%sZCtSsI@-G2`mZs%pte1?5tr7kxXEm2A1bY0&->Q3 zgm``1&D|Ed_zSzfKI~iJf9HnPptr!9vVr+pdEwg^fvcxB$93KP5?nqFWHw(Wl7B&k zi@j=;i)d7P0Z@+R3L3BM>{1vF&UPQi)ezK|zAarW5<-I4&#?Er@{OWe=LZzlrc32F z`dLp&=8Ut*oXsUb1E7c|Jo{u)n7(>z*q@;f=RGl`#8=L&8l zIe)#EUg_>4*e6(=uzWoD>5SEBN^3bAHKYIq+pbkc%>JrP*LkVg)PIM+sIV_PW?I}L z^p!ae!1wg=WuwKly!Q3c*NKKIaJ{eHz0$E7u$U0aNOUS1BTb*u2#LI^MKV729^YCiCzWX#us|2GX|9nM7}g`<@iR zII|}Z8VJqzr-p2-=nbTtkWz4;=6nc^cso}cw>bF;5)aJF#N(b;GxxhfP@=iXRe+w3 z+8k*aahrS~RigQaar5kz0MkzE~LVp`bK8EjsFH9EGQpYFMmr z@1ld>GXk}M1kV7sUyrW;6^y?0N4$fvJ*4%{$$sITzOi}zaUkPCBD=$om}g6!s0C7B z>)N#dxJ_MaDxIAcHE$e6Zi)&;mF(h7a#Pn36Dz)2DoN_9w&f5UMD^)@d^L&-k^~d3 zXnTMz4wkw-bexx6FuN6hr)~+hu6;3uZ+|NuOAo&>H!>*D`=pXs#7VRe;%?UYIf3RjxnuvF zQ$H@F25X8zhbVRja;Ltd%@|#E&)cEw8>V4Tr(a&+$>J9wp~~Hd^M{IcfyYY;5WT`z z_`W_-m$hG`f0+H`2s<3kw$YL9kt2vvUd=Q)x>q6JA6Go@eBJ4@FxN%=x@i0eF?NrU zN>j^!u8LbcgsKnn->WTdih3`?LS@(!lfbAC&tpBvR0q6Wht`izi>-48+z|(7nNEcv z&xEhn?H~R0Y(>dmTU}Q)v1P;s@9)X?;o5^9Il5Nv?5mQeAn3GZAn+4v`+vLa%Aj3@ zr{ta?ToM4k+>f6T%NdJY_%9xK_rn;nyKTKC5&J3pmtCjg31$lkvd5+$4X(;)JxEb}mFMCR2V{w^`?jtFsUfC()MMMsTo{;{@650HNTN zQEFIKuFs_Jv562YFOxw8BS-Z>Z&10!P(YsvuMkO|SvMhYZ?{HJc^|u$d26+&_Xi`b ze}~AUp2*}^#N9Rt5!bjY{mV(w zz!bi3Yi3P?Mvs&+9@gzxIi@p-_z%i2^T&G6w;hJi+J zn=AJUDr9N~55hL6E1@d2AE(#b%SeclRQ}UQLWa?T$m_60aG$M9P8%9q^)E~MCksOT zRd+qm|LUFN?f-RL@Pr`ATG`r8NxE$YWdDerQ2CqO5_6DU*M0n-1rnR~{z0}Lcp;0k zhZud)6#eDWU76<$>ESEaFlgr+sm-4m@^ZpY&eaS(yAha&$_>d}6aDO=AlvtQ0l#x) zpS^elndiqNS@2Bu@+=9@{aFe_Zgj?@P2`tuIrfv7We?;y!p5|tW5y;P`H+^H#=!9{6 zxVdUjF8Xw51%yXw1V2#uR7jiV*Ey<8Rt+89ogmJZp>A<2d*&x&hs=Hydqi~GU~<|M z!mGw)5%yG%BZBC1*>M0Cjl0Qp+h4rtE|0F8flWe1Vm}G%Vmtkv`R40_sdUox9~tOo5V$zd>Qw2{B;gdwy0 z%(jCntMn%fxXN?4DCEwqGUmTgXU7o3H<^$<>;JGKH!tRNUn(7h3!1=1t|B?>-%aXh{V!7+(&*R z%{Q5?y60*8q!FE9+aAJyg1O|Kw6*uJN-;9=w1SQXPoC52P{C8gIAgkSLv2k@71*uw z^}4g}9LwZsGcHkrg?_$eqcoo)K0!cgS8!gBW%rxsk!m@l&g}LVMJSZdcRkzwx9gdYdXT*R#|m zam3n^&bMtUL@-Q1)N{NdFsCDO1WoIC{NQ}C9j5P~wvy`Lf|eBe`wPoIA&A)-!_@{{Y-qWnzfaY3UxHdTtYdT{lXg^w zZDNMcUNomHZ!u@C>TL>H>mdzb$B2VX+_$y9O4H}9LG9W7a_lYp9&l3-Kds(!1|WY$ zt2f$BVmuHQCFS+O>wrZgs~2eim*+}cZ@}>{g;#bp1TptvB25dws{?XzXaL#ryQuBh zcjvL3*Pa~*=)6}EZxj4j)ju3PH)9H}h&KXp(Nu6&pnFN!`w-dAsqDcqgrlJ2+_RI% zQ`m-`Xt8Mx$1z~{7+Ig zbexNj*B4a2)}Rjm61f7|Cg3vD4ovm^NqsD|6AF^C#dpu?zww^G((q|QwX|le;6vPS z$y5tC#IG*?QS=UwNEDfq9#X(pVK=r@BeFscP(ZL_3Ky7zvOUgRNEiCN%PsKH(8kCm z4M}iYIjWj7QBnxKZnk+w=12s36}!%y7;&F*kIa4>&f4RzM)HfR6285S*OPPy$E9Rq z{QeJVTpPhUK^+R<3Ry=#mGM>TkK?x(85wq5C`*qb#Pd(x<0%(r>hKs|fhH`w8Hrth zg^B~Z-U`1!bq{CQEhz2k63ujP2uULSrNrm6*21esEGV4tftW+MKV6M1zJ;ohCuED_ zUT_1~n%T}6yvNxc<%wTlkj`fW$ES~UD)aW_21p}z55{e6^tH%_n<;;JTX$XVn7u(^u+-DDjrfCV= z$#)G(I2Uq(a=-Zn{%wmL@kGXCXZk!D1K5c=iPNC=)4;VLY&t$Cir0?c)8NOL_>%t< z!ks9wV^e-KEQ0K4zx3PF#?z!RQKHJAnuw@*)mqEXh5-ZV!h?VexxU1AI52N_!#cI4tx8!1QkxiI1x)7LnqYr)AkaX(pm0RiydHemvbl!8}vRkoS zLl<&?GNXI&nG%zg^J-L%4-1U?G%}Za^$-cdKxubgua3QWr>1gv;IXHG!lU-4*aMRo zlTK;x!qvsfOq2?EkEMzf> zcU{I9%e>P8{Cunv8rLppvB?scnmxYC9H+zVYJI2WJ#@V+jVP3;OucY?N_Z5u!eGLt z9~LO@_q3PFqK^AWw_FSQF%_;AIbYw=Snb($8G(wJE(tWxA~*Vo_-Na203gKd5zq=Y zzWToP$-h^-lQR^g&27^5sm8Q%nH?yWINhuA5e6{!xdq=ZCIN!$9O;X>j@&PHrbSdN zGyT>xBOY}eFdcv&`@TL8*%uhvSOh6Fhld>SR8IDIEvY^p^(*{|E1I;*eN!U2?hF2J zm#^!7|7eGovql?LB-WMQ?^2kk5Uy+HpQRUIyOvSZ)UkQGrXj>k%2P z(9k{$-1Mlp4r+$iRe07V>2~^ERkrNlj7Zri4Gbsb{J!>lxHUAAXnwgE8l5U~#Q!V} zmGs}n{|yrIr+^-0(H_%U&8?-4d^UwJ<;OsG_J5zLgD5>^l+3}Md+W~3CJu}hXs?Hb zD$ta%IY7De2NA@S#h?ZeUYqumz+l}kV^-+W97nrM-q(4*sXoG#V1;KmrGQ3?6ht%& zW2+A%%em!wLH`9@yi-u6MJs*>>acqrDY0nY&2_>w+&%saGOx&4G!cCpm(a9IFBMgU zM1ol~c}%@A%K8P`B(}H>N4JCFg!A^30$o^(^bZO&-g7TBSUQnD^mPU(jWONmzW6EM zciA{L)voG$E#n@Rbn&+%xaru?<*&=oSEJhl%xL=dHb5e}rQDeiAxk^IQJcth{zs{s zZB)N`-+`l81!1?XiOrDrXWf$m@7nW~xf1O(WpjzY~wUO8}+T zKR4G4fHamGun@kiD#pHpCIt`PKCj))Ep2KtrF)x<Qx-@W}69I_nQeU_wd1Cs8cqB4`Nso z#Z#TW7RYXRpZ4B4e8m~IeP^n^DZ%(4zX5}tSZbiUmgJcN;v0<1?2ys~Z)qb%@JC+_ zo_|ShN!h5Lo(aHJ8h(#pUB@JOqSAM(69#Lx;ePVJWN8@2Z@WBsb6d4-SM`N*72h<$ z_dQh-ugtx%q0WV}=l{(?KfD*(fYdfSd@d7cfn~S;i~Nm|BQqXz1sMJA6!DaNUqXfF z`0p2-cCC))+&xdM_`kRredBK=N;ZW4S4M$M|0jg#32KL5tNj7?(`rh3U$iPZr-~EL zg}L~)_+4tig%C` zamS+fCwr8*p=@0<`QnCuN~Zzx;X@MSS6b4RchshqS;mTF-6mpUmWI4rn>hp0dtvlA zQFuh1BFZv_1Pz(%4aEi;IbqkkWQ;l)AbKjX!}<$3d%O&$9Tnl&G}|CUc0ykC-CuoM zKeD zKh(7eut=a5dy@leJW>-?A0XKyC1sn*mxNR!!QiD8<)Bv3n(l|$Y@Rrf_bn_>2SEry zoY$>A{VT|c1ri84SvCBuf3P>$<-FqN^nTTVNa-Q$Hm}ER(W0Km(DQaz6@LVr$@dop zJF7m6(3OOu0~49ET1^@HpznkNqjEl%a-D zx+SoL9#8gTE$gZ5#(0UKu%hzWqWhR-E z{uvJ}{xkFmsF(|%fIDov1pW(-+^K_FFTjiBLNawA7Lz$qI&jD(S|z!;K$`dIw5!pd zrIa7v#^j??07tHSM>DW`Y+>7N2;PUsiFL3IVjV%X> z!=dCdM5=gjSC%YE;_bVbL5nCXkg(?jHIs3#Z$^fr^|2dPsu5`ypTmKqrLDbK6i_y**o-yS48V%sR|-tOLcz7`3hhQ-Is26c%~<02B$JCg1&JJK6mjrgIEEj zFb!koP8-+qB!Mc*6{u8kje8;@ zJiq($T{OHE5``>@?TSG?;}5HusBT)5HISJnP*yTQilUWJwkJ!7OkZFjN-j}z1UhgV zR7>an2^KX_to5E$HR^~cYqfJf8&AJ(g0nSNoLjNfiHV8OE9=0lePIhXJlrzf$WMS$w*a<$QpW3#I5>1 z@&@KH7+!C&SEI69sJD_^SeADNI(_`#1oZ1D6}FLV-??&f%ZY!_d;U7H(&MD!hIc58 z_xg4023Au>Lysu6*$smSYur~Tkwi?pDjv>NLAP&FEjmE&7d@^PNMRr(cc8>n)?w2X z{zmcKYQxWvn5XooQDPVE>%6<9?~iX6?qT;{AWZuJdA$6%g3xnE-_c$<1|3p&VKMl> zx5JbOKc*+fc=B#ndICf%fV0&hskqhBuvS|dIRI*Ad_-$zo6OitW{=T46k5DEAVW{nP5HmIL8sh$tH1!J`de9<8q{w z#Px1S=l3SBO#Q`1@35enTyh}r&ZQ+eg=`oTUBua50{VA5Z2Mr`E0#o}5!9#e1XfFI zWILiw$T>ehcOY*(yjw5iQt^`iMW>K32B7$avwCB(uDrQn6WgATA4C^aORM?KN8R!{ za?IDn)xz;0&;H5yrXVe$>xNoaaMWLO%sJPk8#5YsP?q4aZ(P#dU)Z~Xhul3hV~z%Z zoHAldAVCoKM&+^qp*?0AP^3hO{cxFx$omFd$BiGFNCnquRksQ0E`>IRojYw11Y?W>Q29rsz8#O49crlwq;y~hLCNC!?@l*EV=FAXa7**Gs0INT zxz^J$4y-t`D7=38rFS=Eo7loDgV!_QD&@H_H)nCiy68yh}b{bCkxcU-1idV9bq4 zN>PQc>D+4(SHR&w%@k7bEfJEU&-9$pb4s{ilGT>}FWn~D9K2xq81#VKsy?w}_Hr^+ zSUycHV3bhEr=39cir1hoOM@=5-|8!>^>!ER>VqhOggto+Yk=#sf@BpLFH*RS1rMeu zk;S|U!<=pZ9q`Qr>7`m;RO&+ewXOcBl`-!G|56+2m#?l_z|rfvU(eAq?V}SX}p4{+=1^D}li}=ieCJRf(EfcJG{@JOSPa#(R{6tAe^e(<>}H|__1XY-`QG7anO)5w1S6441bkn7kD&=- z!++Hai_Q$Idi-Y|z~*^43&WT((f(KsD4u88M6?2soJXuBEt7cqVxC)!=tCE^$Kr?b zI?fk+!s3V0CyAU(o^S(Q!B7;}q+j$TEDl`1!SM3r&^GGdZEXfglER8xzNEu~B9KTU zk$*7UZD1+k6u4^6%KfMLVtIcwRb^h0*k8itg;bVpv4gnnVv0?C8h?JG6+9PIO`Lf^ zD~9t&a$m$?eX)c2O-!|h6Uv6QnnZiuU7jE2x8F~mciHzUVw36vAZf|KpXc3QI^bib zEsI~0ZMxLyL!U~2aZqNZv){w&@n9ix0Z!eeVNSUN-%UL~7YI2EQ>_C_*PHKYM$$R$ zoBTE3)yOkMX1m*dVmv<3KR00gYnuLvjJXyn`9?;PP3!GqiSy7O{p-+(`=4#vVLyt+ zE2|;$ADAUS^u#8L9D0KWIC?PmiH&WbLl%H6xn^MHi9A{HjRiD=Y2BOdrNYG+Y>qqs z$@bWx99vcC&Cp1e?&uiY*VFKyLkg8^xPa5t@lqHh($1-m?zOKodf@vEz}HR!ofrR$ zo@M4S!hx6EkRSA9_l9q5N5v-E91`isn6P}6ZnCMX|w5yTt4En7*^y+Mdde(S~&EzLUsm#=~xS3Lf)ywt?)~?LrD{s`E_z-*&-Ui(fQd4O3Rvex1~PPkSaX z6{MR`oloqWbTG19Dq=}awmFt26Is@O&l9vuRrC+IfL+^l0Zcv8qVyV^i`0YN;OzM4 z7b|q>Y@U>Bg4NuismDNXUMSOR=ATGmW@3lV60nW$aKh4h$&Fp4T9*_w(*<2{(B6~C zmU)q$O*dc6R|i*0L^iKNV0Vmsh&sHjBO1r}1Y1tDy%z6vdGki zuKQy{=~J#QOO>HTi2h&LnXMA$>F+0Q-7F=f_s3_lnraZsNi(&gw*U2g-IQ!*mZV zNZarJ;C&0#Boo4md6kh#6?Z(<1HF)4@d4LLGp!%Rsg4P~=J5);9%p_QfB*Oyr1=*& z5s(JfDu#?mN-w#NZ`CU(HhQE8A5F2J!;CQo{}-XY_NNq0wv}CSuFNu>K{k$rdpGRO zL3`sz{TuH$lG}1QUsS4;25B4hC3fCh{xzVfo9D%ja&XgL?e|T`dID8m_>H)`%1`XS z@Ah%mq5n498!4nfeWNxF-qTX1!`5=qSlSYr%&`qdIW;`R9tvfjP4VIVHy;6}(2od? z#*Ot??J!teW8#+(OrRv2u~ff@8GK5bCI9jjWMeB)B?1HDg-A89DTrz<($cf?crU-J zm81&Vwg0WIsL(dkW9l;voah3pECI+*dX4MnX^7{cTYyV>8WE0ntBknrisNq=bcU_RMJtcb(?>{yNhm!aW|C>k zpPmf}uPfjlYpcn4`^8gjy1{%X$44cZnrJ){eGci}tn8!EhoYOf$&p=UA+b(xrM?zd z(JxX0aKjENn|E481W0rhc%ZumS&uCI_*N*RA8ORmD$JPb-2S*fvjIi#)tY63{b8El zU_oE!Po~nNxn#Urds(mPnM)HQwX=!YANSD)3jXqaDHzKS`A;0zbX>~yld(X4LEMtf zm-1R2BhL(gRRhHIs84@qxE#0%A1IM{nFnwWC41s@v`K|Cr8B`W9n|hM0ecH4-ynoT zUfyT}Sl1b&M_r+tT#9?u+iO+1bS>f=_OC8tB=5q~g~)LiH~=o<=C!VL!rqAJUP?BoWGV;l`q`RzbS; z|IY$w7YShprt)d&)X7xa{mr}RnI(gDM(_3_>eF6&ZBgxX9NW;i_H`kP#Cq8;A=*f+ z|M<9*Rc!!zVf^Q)Ffjrd8tOS!qHcov762z@m?+dU!^HCV%Bo%J)vRx09@DLL3nbCJ zDT1Hm-?07rVa2<|A|@huC=ph-`$JCSM1CI#(75Q!e?;7-!x8&pln7#R6)}i1%&-CP zGpLUjVcHLBk30i2yV_LRTOJ1A%ROu>JNlIq$%qU+97|h*t;2tChsHPiOb*s<1W;0# zv1OW8vv|;b{{Wz=^ZtBsO?7lp1B8`JH&OuHB*a{k1)f}&4YzXvSb4&M`|ShaC2|sV z+x}8ycQlTdOZ|d|s5pf%rW@paa(*?VB=JEuu3s0DmnF8+S_#l}Tw*lRQ_^!UhpY%K zO9MX0>t6i;y0J731pBaJi%oi~1&KL|D7_vklHb-e6PI%2%icEHa$#{s{IHh_dQ7So zyIgN#VNiRwp&#)~7d|TJ#QyCA@>y*o(kvGCAT_;U8eMWUV-E@D-yllP;;~UPKdXbK zhx+FuMNx4tz)Y$tdH>8daCjtKrSaZ*&*p>!Hpo~Do5<(ZX)qHh@}#w!nz)nfxi^h!DLR!QdycQ5F628?h(B~spbl``R1 zD(PjH@?swSMoUv(v%pdgQ#Qx%hXd;!HRM@9%KM9e5t6mwy^4t+k<%09`F=S$PtzaP z{@%pUhJH$$!#&>YrH`R14*ijYAXaWJGC=(a6^pE>tv4%9D2{+&A3$)WgT$2`Fu_2; z-7bL4q{Zt(M&oETpecS;GCkanLX#wEJ8Jp&-i{}yxcfc>DBWFLJf6ji1M*ygR=<@a zGlrDJtA9(f?TONi`1g;icdt*&UgkRM6_)nxJ2I)<>P38F1=KDHG@1ei@Wf^QDvZxQ zLHt>&zX63Mjj6y42-9c3h^nA_iF4rly3Zgg!F%^_muN8E^ylctPo=C+GfGANzGF5GDx5^g(b8-v71s%tBcbmzNVI0;*#`nI@22#?ap) zKKVH`auOu_FueuJu{{}+1PSbS*&&co#Z?X-d2rgrj8iA{vc zQBkmGSm+S3;cvld5joe!DdF(bCzgHNW*q(V$A-G9?vVE&ixKZS^S^|S4Eyx;pd#hh zgAqTYU!RoInet$*z82ITz3^VPyoQGOEQod6N!AnHre(El=c@X;<~59~2w%d~ zf&Bg#l*C_c#MCPy1FI_*q#h-?gM{vx=Kip5Q45$4U=Vy?2-RcF_aR6mlQekj<#>U4 z04H#`^!Sc9!j@{xh-YMqGXd~j*`S+%@92cA-z6?N5~Y4`Y&I0bB9!bnqnu7@5Lth| zz$dT35I$8ZU|Z$Ruy{&(t`B+^}`6wkF zJhz>v>nYFc+Ls;+*?3c;w0o2&v^=#8wu856c%_OXhm0gr=S~_;3g9n6HbD5bQlim= z*AEBUe4F5cDk{1P- zP&|hAbE&3X4piU?=J@tT|rwe`h5u>!-4fH)hORz3H)z?Vp;Po*P!+aI*A*P!Y! zl-TdA*q|5w=Av%a9ex+KPa64=Hs9A%uU~}5jbZ{Qh27Yuv(^M0A9kcNCep!au?`!5 zfASt@(nKJBhV306JF5RxRaHgN>|_Pb%R8dgjbmcb0<`i6TCw^Bad_3Y2q(HJ2ysd?iJakra+-NqTos?R~Uc8_yP zwCtLG)Ip~|Wwe#FSeMy?o|wG6qNq*%wq~mIeS-IunmdR@v=ws3CcdE)%7`@~K;3D? zJ~Y)-sRfg2a$*!jc#ZdXd>@MLebXX|Kv@r)sB1Ix8(W2i1V?`Ho}aTSI9-KwKdn3K zSmb5$?_|x#k~?{LAn(N_clch{(gff1Nu#ZmnZes*^H`&;mknOAwaqrMGqu5ZAg9R# zo58aP*YOY4n*S5!mr!Yg>HMM+BYc8EhiO{2ACX$v&0;~YVysHsxw6?akKNwz@PMS$ z(G@7>PpGzs!WiQfhJcgdu*p)Zg@uq6=o?#+YR1S;t0WR~A`UVp`V(pFUJv#1%Yp53zRe=fXkTpHMUu(^G95%ltaRj) z?Q_Um2}3W#C=-vhoqo{^tE$ap(-ZOcV(^cbbA)mHdq{(?GHF%=!y4zX5K+SzD|^C` z*ItB#v-6Jwc-Epw13mws8Hh5W6dwZnY?(1BXQdR)ZKt<}nc&R#F)0rP)A73tj~FDi z%l2-ascVNMTv~g<8O%o2qeIXQmqyp3P|T59AENks-BE@IQx~xFQe}D&EKD^&&`9jc zEclk0Owfi#xOAsK@c)d;Cw#c?`)Waxc`p*xeCjCG& zcYxMEZMCNgjz_d44G(h3v5$u!SnnsY;bo)8G^Z{!@+Ome0ENKNqfZ~TK~UmK=6bZu zIoH?di%EYW|ADt;qP4ub6_+r7iY150>-9WxT*z75BsLS?OcXXO=(zZ@_uq!JY}-;? zh-Thj?2h2HCdmd;gc9 z?_ZGoF%IV`QRJG;)Nym4Z)klclv)d@paME1E{>K6;h#!FZ<@#Tm8F5F5 z(Bw6PvDzR=N(HDfTXhBlDKS5#?s((VKS6RiL*4jv)u@vg+lZ&McSL##qWwV?70tv< z3@G!e8`><77Tzg&VB;uVGC(j?5@w`+$KYrP--T8wSX2TfZ`@` zULH1m!Nl-JL))J|GHm<+Ha(g#@(&J@b8iG6a2G@gkF5mkR3_kQU+PU^2a=}<18D!`{OA)JI?#tfsOxpU;hm%8P;-e{`ae>rirNt3jx3v z3o+`r>0K)H6^bY0@3+rw+rVI5*J0f~=K!kAUU9;n9!yxer?|0^)bI9%rD?*U-ggsF|AoJEx3!s+-)tmNN5 z++uCegvy@;9RGdZ_8%5pTQ9JVx9@u7MFWLT7NVcRlp>%Ql&G&ykiyVmYUPKA<61no1@z9p1qVDs*%16x&1o7N|IsWzI z>mN1xA2AEI`}P2)aR%?iY|#-G_+sTyD>9<$218=LR!kJW;CCjCfXFexrURae(Y zQ<skfFXtxd zL0e}uXf&8tnar1A_bO|xMd|)Te|Rz$O^o-G(%F641Iw&U9!K+r+n#W8(SZP|CF*tK z=DC9D4Y*h#2oW7Y)z|DxVbo5D)XT0MOoCCMLKgkk0^1o*N3oec{}}3~wWfbD62YV~ z;nQe`Q%+AZkZYvA*M>N_P>m0#ssXksRf+<+sl=^gMQ{wfDmOyp8yE1>xejBfj0%4O7jb zUiVZzt@#5q;#qoq4~<_+2Nw+?YTVE%V!*}sT6D!djP`(TD4O0G87ac-l=FK}hgZGM z`hRC-=-x{2!vZUS(mLqSY!55VSFDg%|0Orcpo+(f z%U$7Mskz%%}rwm|G@T}*N7&Oo$maow#L&~x5vc`S_F7ywgt^f-e!w2~q^@Ig z=XG}TW%67(AGY`7mBCqo_fx)|=2p3*xU?PSR^U3{MBV>%-H46$m_IpzTVDnqde*c^ z@Bh1~s_VumdrUJsBKhR1m!sSSX>hdcOkXvcoRZ)!Ao#ESL@AcYU4@nu#8B+>=RX7%Smk>45EL}MXByZ+knz%>HJnSx~q}k z+JZ?|X~i0KRpCwEW&^K?oKS7X$JNHq0SQ|qJ6B8qNI+yzVMnU29ohE!>5V&d2G%jc{<6bJ zb}-3&81QP{t{?_%an?$e*1Y32&R#w$QQdfND^-HOqYM3TVFG20P+`hl^qz)Yx8PH# z1XmUpnIfvlq}P=8`mbQ2Pa>xr-VKRtzARz2A4)*(XfXmLZ}%Da_q1zuX=q{&&-z~o36IBU(`sgUvY zp4$hg!(SmLNQM$v%LHmfB?y3Seyp|O>~6ooWi(lS0-W9PqC;mzok^@KAnek4p`0mM ze&Wn3o;2K{27i)$Y$5YJErOuMZ>wf0em34WM z2Z81gEsuYD`7{r-pWQxF$;d}cccV-B38@>F_A%cXyR zA-*KNkas~`DM9Cj2X*|DcFbW;F=Km=iLZ`ZS7FTEm7JAqZAl*v5hSFxV-^6 z*2t4a;0?W_6_{O)X?<>z>s#l~{vqSE(ejOn*XAyyp){y464$^*w=Hr(TZuY7!)>-m z#z7b7(}5?_E(~AXU1RcS2y+EpcqX0Hhr*NGKJzdb86e-wC8Nz}&tAx?UPaWlz zCaNGu*29V3moHUP@!oGwS8>A2LZk_bq(h>Tb$3ar#Uy)JCluT|PDGZFcABbhdf`JXOQ>dN3= zUp{cjpUL>n((uCu)W+|alLVsiTdi;=kA7N0v!{2j9diG_WmNmpp7uqeulIHt8UT0U zuApfy-P|-x#{fbp(jNVgQABkPJ+1^c`4Ycoc7s*qp`Wz&atn<-PN3mPP|Rk`IrOC$ z<{n|La2Y$F#bp8S4*2kJM}(Uy_>!ah4GmRw_J5PJjY?WnkzS>5R0V@7IF<`H<=RHL z3~cXQcf48R3uuZF2c)5zcpcWUj?>xG-A%-Enl5WEvbEKdzm$>;@~XRGE%cLa7H4>M z-EU5!!psXP0O0$^4ijS1GrNg${gOX!~es zQna|+!cpR==hRFK-sZkb`Vr54_yY@{RdW&g+Yt5s&|5=!jf;`QlE?|t`5((+(xF0c z4i`op52kyfr!t9qNaVB>s=vpvFU?+P^Qo-J0#7HM8<`5VKJu^!GWq5yc>)7ARPP;3{G?O*U_YpaB;F9Q8W` z@-KFID#M&w8VZ~^;`Y6KycW9vAQIK}QMPAl*vEC;hKLA(6q7wAe2(2D+L;o|MOB{2QXq5(+!Ua0<_SyEm^jl1FIP%+F- z($gZK$=c`c^GCvNTlaTQ_wiKkU={ zu9ZTBqt3|voEpFEI0{3Db08Z7{kkE`xl-1aa|9eiHt?25ZsZr**Zh zuRDLwBQSYB!IVX{2}RbT1x;~{V?D@2IpB4BqMy8XjpsH>P@2P!r_gMHw zhw$xohQu*OY|T>)Mp&uG*RTLlpTi_dB1J(im(z$LpH1US3@$fi$+>}Cp^UGz5F@&1 zL>;)$Wm5xlRUQY}0N?8Mx$oGDng2f?*h0(-nv_rGrw_H z+}97#>hVg{y>p9S{kY6BZW4|=|IbDBZ2;GWD+EuO;zGvb7+i#z2R-J`O8+E}Ze(M9 zNK4XaFt9t$CX6*sx!E1oySs~+;{ML{wRol;AY%IW+34*QmYXfy(E5MY?Q449j~o z!_Rl=V>*2nDZsxAfC^;2JA}v@ppHMrxAau=6$N=!$svU|Q}$R{sd=7wi&@2Y{yDDt zZs#~@q&MUJM@eoBsM_lRm?a1G%Rn7K^c+nc*I#Cd{Nb-ACpl9AN%ZwllELSkhxlhi zc`=hN49I_=i!6wCyFzQtHmj!{7?Fmd7@I=|?;(PA^ij@|gThWzCA#VI!TeaSqCs68 z)(W)LU=yKH?q==Ms z2}4V_AQD4&cQ;6PGx6Tfx7PP}*8I9>=9=r==ibLIQsZ`b(@AwB#$dGiSqoqffG|i$ zD>D3M_y5CN{PjG#6iaeisF4{+Qe@{%U3n382S~F2nOo{~!fnr53qCbDab+}!=x@Fz zPI#B{sm(40xZhRcm3UCUfBn!YG-)#5%z3)PGpKedS%o~Z9s{0SnNc&jkb_dj3jqYSp zd_b)&PRiveDo=~pto{Isu+_F2C6wWo$*S`@S!%sp`{P=`eM{ae*ZM2RuS^6hG2M20 zMJQst)b4iraQ3gdif?DX92V^mXA~wDm-7&-&0hc~3AL0rLMcrDEJWW^;(;-t%~Jm; zua~}MCmBYJji&vFoJO`Qg#E5o|MM;ACucw@jt%nI$BM?mcY@b`PmQTkHyZk&SZNA1 z5p-G+v7Q6?LxcXyN&^`p8}Aw=|BKo9MQl@?BjccA5!UnI5L zx6#B2T|INUrEuO}RMH(WtN!LF3^$b!kxOqURaFhRB5s@OGV;9Q!->!=CTQ#D*znu1 z;WR8ylexFOwn@(u#%LXWX^0&#S@SWwy0q#HGcLP2lZ{RIK3op-=)Ftj47s`t5W&Tj zGhGrvIr+I^4)|Ep+C%N#&Z*uZ=g-4%ZmNMFkc{dT76p`X{WaQSdDiCh4&S$;+^N`h zeS@Ufo?+3$(QN}OTfd6%`ckqO*IK&HtBvcKc}43-(?v%l9H`lM-n@V0`t>u^cOi`_ z6P`-Lhj)~X%-dTc^_jKvrcJ%7{z)|FoOIUo?eOV(eORUROz<;9LR}GGeoTjEpaok# z)Ay{=k1gLWfB9CwTD1PG0)|SIZ1X=aG{@J92?yc?P|f*gB=6&FGO;@cM??U7!kX#r#;*M-KT5AFvjYPI`9V zUzA>4y^kyAVP1#n^N>?d{7Dc&Y^;f(t1f@ZPyZQ6MO&--{`l@sCE5C6M|+|dSC1i6 zvQA=-OBCia46-Q!lhD=NJ;oMq>e)rU0QhW8=>DGOiW)FH;0>}uu>e~HSBbC7mk1dpS(210nBw7 z;!LIkpmQ@Kl@wJ?hIeD7-#~qIf|vT@BiyZ zI*Gz#dJuN}Hr?m=hNPMzRT>P zuDg0aYlkz+CG9$_j10U1Nxzs$sZH-zwRt+*iSe+QVf#$eRPxmm?XdI7`Sf z{$Cyv@AsldinOd+h{L|+hu~WRdhbLK&e5JDcn+TW8&s*)y}6NCy>9;RbGeV=C$$hC zNZ=ktcYP!>_^O&IY5sxy1>X`ltL)@Q*6`{mpw#RS3p#hg7J16cyc?T_nND zLgc)%wJ=$7z{=vg04%1W5uS+<>!j0t6lxSSdVwwIxn>FOr+9)#iJLOl`P=wZO2_*QPqv}Zd`4S z$vw@W%XT-WYFX_UOt~~3g654gD=(ULI0Mg-v(b76cQ+hSd7i2xQ)mWhjowiWaXKERi7`LG)g)I-o- zFa!8`Y$>lkc@DlwD**_q?`Q(AC;2C*+XMZxMw2SM%j5oi zw&gHeM&hL?BLAN>s%)IeG-r~G=`Z%t-@)%O%Ym<6FHwM;QV>nwht;<_->F}^m4N5AI1GJfDCYYI4D7npwVi$xX%S7iuYgi5&st#N_SEA;Fvs3V*OKU>CtpaYD*R zOOz2ez&CyN4t_!67%qSKc8!C=d`mmuM9dDIx;;W}r-V*Jp-SBAt4RDnq zv+yGuI}bu98$an!}&e#vNrVZp&NK50Vw9jZEd zFQE+GWgO{_OZL^DQt{$xBZia4WWj^fL;2cS(*X}8?6sud`Jzv%l?Z*JPBwhyVpH-py6GU#1xxU zo6!mSC5zza1l}&X-6Rf;K~}lg$7CfDf3{~%nvfVJcDw0G2>4_9iT8pDu-1Mb*PBqe zC#u{7En}xn3iH>vMM>J4{HX=!p~!)Ig;K_po=CMB=cgi8 zYEKMQrXLNkSWNNnKTY>5?kxJ_Mj^e>{oU#;fJrw^7E%}7mk{y>kQmP6*di+e zO@O&@?!Ofua5bD=RDNE75g=J~!50tg!+&kLW5dU18aWb+2gv2#bkXeK4RWrXW>Z_7)UHqr50l$# zPYKx5Av9|KzRkwol5cNX6A2OKM?6*BZ!3}DG8D=$VZW4ubKs|DN%|nmt2iB$=Rs-9 z<|`y|P|~ZK;TbeMiCpg1^RBmv^Oc6b{(a6CuG*?M<;}FPf?1w5xd5u=E8K6W&LV4V zaGt;GUCpzI;`OONt`=Xk0`J_ojn{T?DST*8_ljvr*@ zqB1#FRA|#mc`{e&VAa;qRa(S2s1LZFRI=NV!z*ReE*80B0AQyXBHValem}&{gVCnF zP72TgRB!{9D~1?%%WE>^UpUdE$Ytj%#96&&0_juedr(l?+MDFid_z2m9quE0Y zo!e$R?^@R3Ra>n4$^~u(Z-R3$5yIbUL6jPGl+c6Q@S)6EEnebevBY$`RnhT-gRXgk zA-NxHpMb(zw~gSDlI2I%66yo~*1Dtxbl2@z;UR7f0CIR!v{M)-Nf>s}jFTs_^*ZIQ zTUS6tZ=uF@TT#$;OFl%@c}+sTUzA#>>`n&jGgdeJ%P%=xRc9zolCC9KSis6aQ|0r5cF?>L3G6_kVkzt<_O=H`tz)4D&!+ zaU0maZu7rgYlIca>DhE9s{~o27O3r)CVly)!WW2Zawx}pqM3~FHmE;q0QGW}h%AAY zAXJmLF2AnS{_9xu*@Y}2zEFb_O21uEb?dnH74wn^|i!tu1wg}BbO0+2Tgn3 zDD+c~_7hhUFP=ZzqwJP^cYZvdGSqS%?!qbh$mRK&_M?tzka@D~W^PY-6mD%Aq5EqR z4HJ*&8oHdI3?=Kbs-3skZ*~+X*xuqdlNvoxr(v`@fi3+pEB;Ul+BIAo@;lPM4oqF% z|8r~#(<%Al2#II}j(o0~1u`mSWk^wi-8aVh#Xa2%PR%)fIRV$lM^2WXxtS!NJ5w5< zkH3hyKIY|*r9(}jK@{7J3Y3d8<1&U!Q8UYG?t3FzcdNhR(cq6qy@x>K`!6vh?COXM zO43*Nu0tGY-JiawjRoFL_qW$$V(>vA$Je}{nP^cX&(gT*GZ$)}t@AW4FzB0O5pZOh zJE&CXo1?TmywS=xQ)fso;ZsP0s+xDM_3FRAHR<^Jof0SCJS6v<8}eafZRKROeBgO2OKJ! zvlXtLn{u1~AmFO}xczT9-R!2g>dp#SBvY#+&R|24QGE@ti!FndFk_NiVJSI+>coC! zPruS!+W)b7GKCQ47ONLXvme=t3ts5xN2iV=mkQ#H(s-DLAPP049=-^IQ4WaXsWTI2 zLP_Im$eaIzt?B(T$_3ift=DvU75TAamsNS&7CaV@_ZLfIOQB_ z_|D#<@r`(lP;!@2P0iB_0?mu7f{OmMW&=dlq=+ z-%5V9U#s5k@|Eh>>(}PA(2*>M6H_^a8k5i+H{^W->`Fd~6>6o(^k{Z$TqyIsc?3TEitzl*t({*Jko z)y2k2;Pn=_Fon^$eF>BBxzX2kl&78s@oN|)UfiMHCpvIFAezD{Rec#1C2MzoZ%taZ zrMZXY<$zSnR9!Aw3R&^MZ#3P?3e{k=^kvi5dwY0{SYM$^(vWoLvq-T?JW1XU5dx=o zYa->FcK+o=7r%-0ZYls3{9P;N{0Rs#GYz~^gOjMU>pH4 zizKk#vnBKQF6+m^H|$^iF-hG<>T;g*=aP9J4au?*F4js!AiDXYM9j^x9|U+>dBb2C z-m`Ot&P8#ed-|S-rN2HM=ETmZuw)mWC#=nYHnXv(d4u5@T07$s7XQYny%s(nhT%!E z_CPNBJX3vPwx@+HR@ixVbBDgLUw;L`0&h9Uk|r%*EBb9|k@duxWjQt)e2wNK!-qRP zO}{x((GYlUGgG3)J{ZUMoIyGe>lI~kOutaGCrcAshA#z#7|HFxfSa=bvPHbdvam&(O{Dr%><5Q2T5}vCQ1e8!PF0`=iHVrQ-pu#NaDaflXcBPduhA#k-`1{|}C40G9M=b%XF&#al3!dM=jx%B{1td;| zrG_kbWelrECSF1#Foi7^W_nxRe`%1AFM=sA7H(v5Ko5Qf*L^D!ChL4rYHK@bnDefd z^U!(-bp2$m&ipDOEu*=Xa~cReA8H;L6znK33fr_ab2^`9G4>FH2F~4<(|Yg44htdu%b)Hp<@dLZ9d@ z(D^>?Z0(Zh0Mx_6Z>li~CiUu|uOj1ZyDY>ga8}oD&c3?*Rb)U~*lTo60b{y=eHrY; zbwywsVs8gDPiU%9N)4%rIVWa{S`^FHe92K+QrdxL^oiuDAFiu4yigaK=N9?<_2rq> zPP2L-r4}@0A8}R?@cC}3k3nMs@{i?vo=FAPX{~FAl}EA^ z&7H`F(MJ#)|?XUms{wCMY10a6CRc40R2GoPy4oJ|u7L*Z>L$uH| z;RUm>p7VU{*6XR^1{W*h|IXYIl8^eYClmJlPk!sY?i`+ya>$r;A|4~mpouNhMU3MD zh3tx`f9W~?yBZ6Aa390JY+|xp4KN{4$*s;_Hto_k<}v@#LZvb##qQ!zZLl@(HJtLL z$w=-htGe{HoDfsXE`{Ng8yCw}4X_0-`{X_dgMTR@ej z7CbdCc(=VFB%JEc&&tuz-u4=UoZa4b5wClI&|!Q$x9&bJISZs1N@}#-*Gd_Kz_yO| zZ)B!_hQUU2B$vO(wjU>IIOjWCeN17)ncaCtN-A;QfkxsB^p<~A231HKN!gHN0Vf02 z9D!^HfOM^FTo3Yp$T;)^=7xGYZt0Dr|6H*_sq?r)A(I74EmD8x-k1ogfGSmL8PA*k zdY0F*WTiE?9+Xhu1LAs0^O4{w8Ml$Xk7r<(Qh~-6nj$84W|Gpg40N;2-C@$ONl#K0|AbeS9BFGx7Sa0d5D0o5FO``Vv=^)yRFutOak%_u8105Z)F~Y1_ZB}Wz<%(uY0dIgXquBuv&C=oBcke!nS${SJpbo*P?DrX(l1~q0V zPXa_N8auf^%{?@)f?V!)`u?DtU4N^*@g{AIL23Wo6cQw>^ET<#1aI+9@WQ;or|(ne z6exTPf@-7|xQi~|{JwhCIQ8|ob9Ogs)th7&9g|t){IZ%DtEwrzQl)98Yna#~K4aph z?49C7$3zAi%vB~Rre4`;QvE4@nVUu`+4nC36g4gZi6b9#Yw8d=F?$@j$6sDr8bXoY zOE~z!H$bzr1E_#nrqdFfQau}Jt3B?6P7mj3o}4H5uznDN4_Ea_!iKRH?O9>Q7iflU zy_E<_&pk%B?){pYgr;`&?fX<;JXvGJa$MA!xoMr@65weUA+S%~H8)+8-fF$V#x_!{ z&fW2fi<=N`bsee9tUNnC&<;(Sh1FYmJv3#AxGXz1m7XCtp4P}CL~#WqRo#UaLfX`_ z!_a)OuubGULl`W`Ong4C-hUnIyooa${?9T<#v3Rng|)P*`#S{N6bNkY^8G`J^QfXD zWM!?JEZ5_?0gf@^vGBL<0+S)3629ShSbhUX&oP-lDNsdLS?(7?h&ft|j_8TE_0ajF zy)4qZ_`4v)#ZpeL$u~og{ExAb1{_2>u$2-}5DvKe?&rKue84bg3n!iC91uM7&3@2b zGJeM5$jFv8(9ZFu`OcxS)UELPHXnS&Il@k1R8@wb|Gzq@HZ>92x-_^kMKUHZl z8_h022*5$Mi2hs*kpScnmSj}^BngqnC3`21MDNkJ`3Sc_56z^dA$ zYM|k+wqbDLD1qp?7rhA}^lUa@a`wd#wHhrDw3}3>bft&KpB_!smRQ7zslIZuFIWvu zy+Cc|RgeFHAXTz z(w*7dlKF(s*gzP$f^IXEI-P2-GN=UcqA_p{9ouwskD1ZNgO#mh8q$U z8;-@UUDLZ8xUZ}X4#+os3#zQ3&t8r8Tq#}@vbOH&LrBgD{={r#`w8J3lfbA%T+Fm) zEhR)qzK~~Q*U>tVe)_SZC=}fsBA-sazybY70?-yTD|xr3{x!65ss`<3Ac0Y!wD6df z_13hxz>L|!(T-k;);IjWbU$gX){<#ejaJPwRB`6C(koYKR1D8iL!EIGNuVMlz(9nt z0Z;kEV3NV$)_VS3ccBX78Kdjw>>$-^y|_KPgQd+x+RT;nuw%Pl238n&h9iuJk2mwC zO=3<2VaGr&p}$=2N=mG&A{SIEt0{LQ{06I)v}%|*<(%$83VtnMvKoJ4d!?EyeW$0c zV&aq7H5*{ZotZfInjQQHUT~Q_p4_tPe|rKnqrb?Ds$Xs5(#3qlqhdO&ExV`0I1l@Q zZoAg%OYIZK7~tr|(5Vq5yyk*deK_jQlDN;#HysA^J{mW2F(9acdJy2Put0)_luZ81 zQmxfjICtIGe}!P?3^QO(vOcKGfq&QOE<-3I$sXcM<%lZ40A0kg;VXS`BF-Wa* zLP^FT%ySmjmtZTQ2Z8kaT2X9gz;F3qDrnpIaSkY=Mo*u%yn$120d^~v2@oXVwA0Db z7jiZ?`Ts0{M}ejFtw~cVRW*TI0Qa8*^63r*P zWWyK%zM0C4q%GSU%Pue0gqZNy7oYVa(^cp$&1q<#=PF zC}LSqHdiOI9$MmM)%5lZjb!{HGHSXtKKjElSA9z5_)3Yd{;^%f2@15>3jW&O@9PWA zU5zT%g0tEr_fxNT&!L*G0;>cNHB2EQTha!dMkvOQx^IG5p|E(o;>^)HfVRZ}D^KIS zi(m|hZZv49tQNW7A7G4U;^*k6qj2}2xxOc=8s7nHd<3qesfWO|>t5Fi>M0!G2cbv| zMd<`9%1YOqO*6AF3?bEVi#R7osPDnZGo%(Mn}R{>2xN<-a%!DiV#Y?{1~-!7{&=no zl=Rj-6C+UkNL#av6D^LGeKr+(@Q$Y~hU*!;ZN$;r7HlOO?e}!jMB+sPxYzOo&MPVk z^haX1!hw7Ddwd#JR(!G4Shn9=<>JDmK63;?1MgF8ji0k(_c)7+p>ou0sG0cgrW|`4!V{D}~bY357166ooE5PbwV(hUW1 zg{QRYKHkHJrJCN=k?T+AW45&SB)*OLA>g3UpK{gt`eGJUR0W!TKCdDHda z-t-df%L^6k)+HU4P_+eOY5U%(Sl>^p+?KS^w38IL)2JihAgi{?BFSZ^rjd)~Zg~ z7KY?JPvgDZ?dXcYnYI0ut*D&;1ZhAL*13*7b^9KUlfgwzLsj?HyHL3BrVxvSMO^Nh zj8hV38DiX6%o>>`q+FkfOUwk}U?8)4dH1&{^%MIKC``*Omw;MX3^9vKT*xOl`d--c zP{-sVEVx?F#8;tHG;H8&{f!L4DnW4E zcsIqpv3Ta03*vvU5{mpv&>bl^1F;u!}IGnag|>Z(qcuGx->x|9^XFz2HoEBfTY*R z2L@Hl)nX)BsUB_mZSda>7*3+Ds+-(f@hLOL8}|L73L;vsXHuBu=BBSNdN(55E-yI_ z3*tfM%N~`#=RVvw^-k!9Ea5nz*Cht?DgLUCGv-8=6^3(Nxex8A#` z8$4agzbt1oZ}Q6`HiCf+v1w()lvY;Jd&K=#G@JF;{@X!tYnIasp-)|lZ`NJF&o&&VYtLdxv{uXG~u^E(BDDq5^o z`nNbCk+9b)`0ov=Xf`=;tVevY?@Z#l4QtFoOk#X{Q)b$^T3w3IH!Qtjcr&Kqm9mKQ zE}E9opZDt};58ZPOr}^!#;Ocr!=fw(dCoD#yqC0GOk+F2y9`3GLQ=DW9xBeWyl~{w z8uO)k3R>?BxA!1@^@GO(|Ni*@GPP_^5}j+WTCD>&l$Y>t|B-& zg3w+1o_n6@S)r*#?b)P7{Kv}5$^;=CGX@?nQsY*i+D|plsFYiKsFa`akQ!w>vk9y0 zr?hS%KmU1qg134l2M4KA$GYA3CD?Dc5eJnjW6lqzsWX${4XZDIQ9#GGlJ>$!|E;7{ zryZJd)C%Qg2CCb|Q(p2u(m@N?(@edZGkJqTKYflMVZTb#6eGskI2!Ot3GD6K29Ke+ z+>)@q?%U}A%JB-hixsq$+a)lTp-OkOYt%;o^r#2{R2!9c59Dxbv+O;)#)Hq-5YK`6 zUPQelmKXf8HD*;JXSM+lGk^W3Dyx6RRK9xz!iDQsjW6lIOFo|0d`ji6+kK^$sRqo< zi;auVK~mTIyHSnOnTmh(qoJTXpbN{J`fY5Z?%nr8ctT|S-;@JXa(@CW5*3vT81|BE3g#7GOSx?A&) zkFQWD3>wdooHnoeged)$v$b7QZdGy@ik@UyZ_<9*=CSV}s)diVgsBuP6BLH1*uR)c zR}wet_&kY1DQ1J{CoZgI#;_+&P=k|sPl@pSgSTs6Jf z7O>9R*%%SAbhwmw*hxD4ZBV^P3|x8_BPLP@zoXIORjLZ>zOF|4TIlm%hPJ2U^aS5@ z{=}0oJ)T*Q(e9`AuMoSL(e`c1_>z9?W*Cq3+W(_N3CC)y47tCB#3DMieCAF3E5-J6 z!``;aA{t8om=9YmsJ@rfuq4gYx0x5L82t+|d};dJ`8YwR0sQj)gc5K!*(MqEeH5Kg z5@B8z!sw$jq_=D)r*?U>D!ZY8z(+5P?hJB_`gdVu8~4BIND8^xc$at#Sf zww=n?T$efwM#Fv1^>dOgH%;W-f*yag+d2P(cBNxwD>>2G*O!BQJ`|2ywPX1q(q>7; z7u)^TniRDI_#QJZ=avB3d60%MZ7G>B_mejD12xNi(+BY5kA2R=R*kPsM!l(@jb;RxNGYt z4N#As7n*VXz5wYrz6$C5#btN7GuX>>`zHVK_Fz~Dht#Mu$Qt_Nn|rEA2)$LF=`w(r zU#71!h|6b;E(K8Qe~!)Z_|=tF14r}W+C&M2!PUqQsO-_gudwiw!^+Vwa>Y6cx+i+sBL8 z!56c9;UwRZS&yb$051q{ltmc9e5)z(=4%Y^oT8-4@?gOAyxgf+g=^p8CXC9t z)s@_%7}~aX@u*w8p^bubi}cB@+3vK6mn;TUGt%l{g(_gyVhWS)VgB+5gXfadd>V0a zFqnays@f9IzKJ`o!+7HrCBC|A6)?&`G5`;4FE z#&x_d{I8iRJ-_{;rABUBzejXELcAFAXae1gXYF-f{Kbz`NTin`?nnJ@=+v&@*m}Wy z$TY=v|17aO8@-}Ojo_nE7QgQ++GsKAqMQ5e_Ght=dPg+GV#QKS_M-suXi8gz{PMl$;rYq)0Zu)on*@%)9OU#YMGKJ_Yh)8 zKjvLuFXY+FCjpb7RVCnI{H@>t!>Ya`!)V@oe@T4obTGc+hT}2bci2M|ePP{tF>X=O ze_q^rF>t*EqRjw=fA!NK+-t3P+EkpXLUUlfSIMu3Ceo4rZ_u>$0t+)o6aiieju7aG zzj&j9kI(aS@h9on5Ac6H9w}8py;Q2paXH_r0Wnk;Q$*q%rXx1!ejSPMoBQ~^iGN4N1VdO<9x)$C@x4F?G@m0;2 zCgLrD7RR3LGVygr3CB45Kk%dX3XZYaE17}Zb3~f)NY6vv_OWkhnVYmoBDq&fbRUf5 zilC_aRmrbK5Te*PRmExLJJ{kS-J=4_1++D!>kAm=E)*nMwzM?)dv-fC z@V_lfdO_SJ@L)9Rd$iCnUvA(vh**)+9H(2vX&qHUbCwdlhMI4ej%Ff(-ZQ|zq$CLp zq|K*R30b4mX(}h2kOLe214+_nN;gG}0kw7kMTiE}XelEz!RDZ%H$7i)FgXKCb_y7m z_Mfja#_ymA&FgM6qj6uI-qa9{sk$|IcTfY@EP8s#}0a`W<|>-)<%Ee9Gk@oMVM z0J_Ah+H*|N)~DXxq!Z5}rUs#PP|pT{Uf8@j(hxtR#-w->ju)Qf>Qo!2k+U};%z&Yvpe=;05+fG0@Tv2{}MFq}x^eHLK$tirK2da$N_s8E|$ zqiJ-|Mo)Gqvy3h=87WLIf408crRaXN?H6QM zY1#~)6aT>fl<+P->a^rt3t4LEmCHu+Kgc|ytlX1PSd6gfpiUv^Yju|(d-d{EYGaxe^GLCw4U=FnfPNG!t@- za!0%L8HKLNCDq%BZKbaH^&xriZ!_EC#hSPl!WTMIB>KwK!@DXU{M2 zk|-Kql>2)Cwq9CO>kukRfQ8 zWsZ%Dij{HnvAbz{{S0O~p>G>k?B02vB-^w7@T_`#fiVI~a_f`;+ z+rP}rRjYnm84J+H$9}mV=a`JK8=CqJBO25`VN1f%4XfWy8WuN~==??oQQi2-g>IW} zdvEs`yUDXSc80mIOdY6?m_<*CWkQalC%+&4hv~}>dOSD;W>Y<244|WX@n4#ciSbX; zPM;Eli7vVZXO6Ui_4JLHRC`Uqc}(NL5Tuju$An}{;ioSa_@u5J+jMCt&K ze>F!nHVWl<%RTE?Bo5Hik)IYWZ>RCp+L+=!r7r68{?6VpzAP?+P?SH@d>Ki^ZRhn+Oy@+^@=s#X` zMh~!}`*oy$k9S{{k5saDzxo?tyB*B`n+NxOItjtg_qi+V-{H&stJ0_;!_Paq`GPLv z>M2>zVF2uJ=Zvk!AWme{Q5b1ot0)pY)imrRM1du;YO1 z+7Qh2XRBq-*jPx*X;-O6^2(;_-dI~z!Y|~>>q(|`aGTy6gxbG#v@1H=B=xbQr{Jp6 zfb8?AxD0|P7V_kDe4UIoW4CAB(G5^N6m3LV`nx?CUL6{CUFJF@OhEw|0RgH`A;?al z?LF?pcrH6iRt~~p)*a%j9`bezrX>_yrhRZ#Om)lJ-?4r=u#uJ@z&hS18*}c9y;__6 z5-i|zZpMw=%X0P`uWywx4p-dZ(GJA5$=S5G4KU!%1E4NpxQ<5-Qr`nL>56^^z2iCY zI9u!X1-uaEX~PVR`(I&7gU*0d3qLY#mUy*1Rt>aKh$vKC*<{Q)hCf-Ue42k#@a~@5 z;=Mj%!nsY#;oAD#AjiJd55^CPd_tBOd)1n!Y!LW-lopeDopl@EO^SW%dXDFZI^RmT zFTBfxn}dNvDq>&V)|jf0s>_u|%zLJm`F1cb#gUdAJN;jP#|ke9kUj6Hv3d7gx2>NL zBg1JouXf1bB?*`ITUe4RA1JeBWxQ}toQ@{OB*&68r83YR4_hS~wTvfEg$}C04;)QY z_bDwJA;*6FQ|59`PL>XRrspO*lAK7?@s_`y!bjtlD?yA8YCgp|dGwU!e{qaxg`>Xm z3&x>MVe%t{zY})yT#`lNVm~XL03B6PokVNp(*G;!HKN@gmwFnprCRBOBP*NME_1AX zldNEx@35|>sFo9N>fipwLcGM_uK~?G2V>TKDfdTQra{l|qr5m&?*{I(8r!b8tNR_- zk>A32D&kvfAxp}Aw58B}(gwPF9^abJbjHv>8sZQ?m=Q z+%T8O+KeKV?|YRiA(w;8+$VdkYA#FI)2-W*H3AUjBzZsk?*e;$&;R!NsmQ>q+l<(Y zdB&1ls`FWDWK#ZUms802%JUWs__!A>saJGNdGj*YM03tsEX$M1@}v-SApV>ImwH`s zvN3`U{Mmzi|0`mO2$qN!0U{NE|e`KMosZ{23_VvY@xN#zSi>8Nb~gRjtV z1er-Xx+Sx32q<>c?V>mBoE+r=BIaqw{8kr@@Dx0IxhSPMjhGYZZFIT$Oew+)Z*&=Q zI|)Pk97r+;$|sYAV~7@jKPg_$gWm*Y^iKqk(a}32)&cc9 zayps`9Vt!kyw7d5-ba9`3p=RU=HUu@$7yIl%zHw!4`pI=Q<9;rQ*ldT%9Ng1j6!7y ziN|R>=*uGZB7VuzR@SV*#phMlsrsIpk>BfB|K@sHvs@+&Ga|YO@v1W3X}CZ%D4C5G z%jhG;C`mQ-ZWnvm@PUYW7L$^ak)$OyT~qoUK|9IY#9Xs~KLDGAUTfLSv%t-UX^rVn z#i_3}Z?80e*s1P=M-$VT(yEx=MntDy_QO9~cbIzr$rEq-f$Z3Z=HlLg-C+q5DpjE% zl?;uPw5%S-w3i%fOG}xr8z^(buhEUM%jashsaTp2#D#f?|9GnVvL9x|vit!mV#;i+ z@LI`N2N8K=KwCU)`Um^?ikvqWGvv0KGVrGnC2Rtxv7cZPiw!_RwM=R-X@8egoOERW zM(8!KUZ%}jqLnR#c*|e;tW)cHv#0%HJDGSq*ec^D8w`VGH(c81N9qq}YKqZOj zWoQhv#%=(2m36G`uT|RT(`baCZc8|5QHOX>sjy7pIvVcyhdY;;@U)(zo_%TobSB+< z#k`6H5ZN@r@2%5+e+|<)knM0X6^#dc>K~Y$Z83CzsuND3$RNRJuQI`tbzldoDS5vE zo@r{osgzb(ERw4dkvjcK? zu37x7`)wG0MHgt)AyL5wY&=w|ijh>2Oa~S!@O8V}$f)%>1n%@neG5t;znU7$)2q1U zE2x6!$sAYhXx#|^@VS1?AamCFUDv4adW=J=I?gt1Btu})Y7sb2IXtwf8BzgvO1%uC zR^UlPe6m!<_suEc!%eiuiL>6pv<8)CH%>49kB!B#dKCAMz;=Rb=tJy=G#9);9TosT zBLp4bP`>4L3V$*!cz{Gm)PXlRdN`$1d6%fLVs6i-Tky^jNBmTA{v68oz1_m?dK^v$ zuP~}=gypZv3d3TCJ@eY@nd&4SQw#^TGb4ZXj7!*JBJOgHFR2pPZ!`ng8PG5cSOJ1b z_R(fMZA@yBZfX6PSaeuVS<;r(TmFg}@Eb$~9&5|AmVO3{?19D28GrwD$TR*leY7Rr z@A0jwt{&mO;m&JHCJM9X8vrP0-pD=n6TkqmHH0}y;2vp-r~6OlE5J}*DY)v(8n?bhw-F}F3G_z zg&(S3(4>7+XGbb2RylMWzEu!-dn?WfS2d+p*r*Ic_N zvUiE<$ZlBl}kwvTl8%l*g8Ka2^>?a_!QqzOrvx&CYhJ4 zrBq@mlGeL0*NrCcahz@9tG(`hX@z1}`OVRJT+CV`Nacnm10&8umMFc3b-y%ikRLj& z9@Izl(h zkUfRL4gCH=Z_l=Vm~v@iAnYiH|24aGq$2IBn!o-9WWWlW&{2N78P;11K$`&F9M_MR z0c*Y??2l8j`CzB~2yYd#C)x4XeoVrj-xsABCXk6Ag%pF9Z{tzK_;H*&2p*UZx*hr; zh5Ey=S6k8%2%JU`a%d7+^$V#AVlSOF%s% z)BiZjk+|qz`Z!bSO`v8B_TX{PM<00WiHJqED|j9(DV(JLE90Z9oJUG)yEA!5;C@r# z<^BvaI9(nt1?10RsZS3{Vzd9u31%v z?J8>>rZ}mkFcW9f%)i@@(sDZgj1 zZs}5#!fKW?u}fCCsZA8I4$eZ-oVQF*)+W?yh;BW%Y#|z)Uzh&1kIo31*KG^^Rz(hG z0@{8&u)iLEd#vAR?rvrYZ_knGc*GSyrq8`>CM>136MB9nqfM@pb~ntWM_w(<-Z%T-VPGbP;YZDvpe{(_-iyk_ssYL|Ea~U{Zauz zZA1ESC;s}bUxdUoRjT2ru>XHFon=&1?c2ralx|6B9=e+$qy#|_C8WE%1%^gK5RsAw z2?6Qu?r!Ps9BPP}d5{0K-mmk4#ep^Vxvzcg{o5&L_GsSe7T>X-00*j7K;;C4qCM@R zwk3fEQG-Hd!h*f!f<*qexs_(zq$*=+ zuAX#1`-O5{_NnDXwV~9D9;%`~T6AH+5c8P|T`vs=I?`}>m~qA+4sp3nYOLx`MhM!P z^%^)RJ&mDoJ2qBLsvl+#JDG(^w&5bzYbE?9G@7`G=Y z?TxXF~Q= zK?#km(+|g4mklLc`AxoJ;6eVi?{gYp;H2%sBk=z^csATSmV zevz{rQf1=@CfG*Xw`5o9!H{q8&j(pPzSpS(L^|f@t~6b;DyV;!a`x``@E3aw^8lCN z`~R&SfE(e#MmBthx)TOU6I_%G#3-KHw9F>Dk;aBUHmo?W@Tb3DC{=K05P0`4ZiM-| z7odx!K1h2rcV1^*=vbv4NxdloI1TUqUDlojJB@x|wJnyRd-(ksMi!~Ey;SROA}<3J z)dKR5Uuz*O&-CCQ*KV;GOi+thHqP!x>W$S^VrQjA%H(_L&)&L8tXVc>40hj$cSOE` zltScd>ZWjrxMh}UW552uF#?Q?)!sFJfFlsg5tkNJ#ZR9{iaDr6?KBn=>IPBTOT7E) zuPbvcZn_4S`4YMQ@TmC+4s?Iyo=sql_LQ0HT*u^ESL8w?mwTzQq{?$a8Ub?2WDWSM zI37TLzi!P&EYov8cSRSonxJ*VH_eVtFf+^X7@-e#nR#>bB~^EKa!WQ;HHlRp{Ws;W zz82v<(8rKa0aZke9EEP>ShjS=PMByRle4RkNoL)ZQif}8t|(F;hvhDIW9L`0|1scAbz5Uxp474j79fWOUq!WjH0n(V$(#`_uT!YB-MUV|*m)|1@0K^MHhCWl zTH`=^V(+!U3VU0$`yu%)l%c8DMq)cF8`v4Fsi#|6aX&fVeKQz#VqT(mBaTmc{r#@; zM37|ZQn?9mCPp3PnDA>{e+iRxrb`6vraty_XDD`*U#`$>;pX`D*pal^2i%w;D??kB zZW=>P5oNpJcZiYC>EPpe4-Vtkj%ibSabRDa=pVjQ2Od$4P32=RYmtzjHLXBxd5#u!E_dXaO%Sd)kU_Yn|i zH$J9nb{PIMSOIOV$^x1H#w*igkQ)B(5V9r_YcCNk`{CQaNR$kVntG}O`oC*U_bvdt z&W9YCKt|jVOb^PZe;K?*6L7o4(XXUApjOqAQX$HjRG;TeVLx#!Xt3;~!4KNpwiK@H z{QCX$0(_b9_{%K!uLe$C_I37coQ<`$;jF=%Z?$^J#9Tf5lt~GpFW*AjL)X-s+W9b5 z1A3d(xok0HAiI3xHbhwy|&`x9Y| z>{OyJgyYi)eGAj5R(tp9(1c!Ww;Id0_)SvePnFi|BdG#W=G1NF6c*o02;m7J9v&=} z=Nz%S%3{RS{1+p0#O>){wJaZFIIax}lrtlDiA@O>t4KqTkz(xx?&Cntp~8kl5j52Y zSWjS~Dft6mlX=qRHEj39MaFB{r>INnU%TEJmd%MFuGXwV;?d+9njtQl;4% zd!mOiu?cGLSf3sOIx({Up0zpgjc_5NsN2Yjl2-WZY7`CxH&Fu)`9fOUcedCaw3P-hLX+Yc97QaPlV@4h9xLVy2hC zesjkNJHsi@WYD&{hTIIl$}k2IMUSnWEGy?dN~Lb-TcGq+`{Yk+$4_w&3?Cdv+@PUX zQ95i9SpUFdbK;%SgY{2BMZmtV>`%jTjej$#OP%!c%gyqsRasZ6b}-^M zQ#OvO2g5dnV_%?L#q8y%y(CDJVst3zXY1)`e_~Hstba3>anBzH2QL2hR=90D1{DrSOH?ABaZ|t_zairAG@Sj%@pz40TRS9 zpae`IUkj-w)J-crV2vf z(FU3{686AvuVpixIJXo-GYFN%hZb;1rpV<}|9KxemsW3g+FsY`@_V5Ov(2RRUc35s zge@na2Px?&*`{f1#u8PJrINbuPcm6b&AS))D({61;BTMZ&My8f_W&ic#UAj${XH)| ziA_WYO6YB_(=2O>sL$r=08dR?LQSitIK22(xS#!YBU0qm!G;ekLyYY^3WKwQYQeBD z5AJ}(^Jxbh1YXLR**V0up;!QwPrS2 zlK@%j`oDT1r+1YvZipTcKs4Bxw+yhr-Gpn}X9U<)MZ8NXn?zP2bX!K$eCqs?s34<4 zA8`5VpP6%uslKJTdsIo};v**S4wea5X5P-FUa&Ack*V<>vKP4X05Wu`g?GbwVQQKa z4$(Ao%OfERKzZZ)Fie7p44ue}9bPn}x6G<%8$Y`Qf__KI*$WGOh(pWK-$leq#E!jn zy-c@Cd|>2qWC(BOc0}?l{l2iyn8+&puupx8wfbeH=NFbS!8Xd1dy|({-mo1;lTG=G&eW9fF$>SQbW(_XPgE{eVW3 zy#+k-U0?+HQ-=hu2yWHM=Dxq=6iy}=uo1pJrawolFTF|Qn3ctOiS$R2`_2l+**7e# zz>0V}Vj`5?0R~woos^3BQkO`NKDj=bmwTz2MfQn< zJ^CfEBY%cu1^qZhAT&pH5mau{Sb_ioS@t*G1@oUsReYE2itE`@e$+K6;HN!Kx(${# z&6g0fACj{TZI>*fV%fNl{3s*yCO3rk%ai}Z@f&~GNK{N3Z^!;vmyNDfoar88@8t9+ zYT{hlpPjgX{P|JqLG&l8@l#T*wPfNrDpQv-WFzpT0UV5D&$u~=S;qL$6y0?Pb8GPR zE)M6^#EUaV;dJ#d8vFHp;KqyRtsV zJO4XFT-h9Xw8>L-?k-HA9K<&XkG? zbMl)qOJ@8m_pLRQs2;Vy6Hun5MZz`nb?JOJgDTEuU|hFv=-U1>TlUDs-rY!op#57G z7L|+x>wWqM^BqlUO=a3SNdFf_BBhrywsj2+%h#3Gs^@*O>WJMA>yS7T91Sg;tFGFK z{e0t5N_6z1CoB+l+n@o(he%Zr{H?kyM57EDqSM1GT@R%MYNp*`ZIryM;C zw!BT?>r3G8Q~mN?Smn}Wo`^|Nj?A(kRAhiR3BiB1LHTZ!ON-_bBf2EjEl2#ZfO3F} zNU`N!c1N7$LKNXDINMuM$0FaM3>EOdNPvQRBb^E+q^{Ln_*qwmbCWDJ4z6Nc2?{;V7&1Pv<{6m^?4Q~ArIPXsOok^ zq}>YGsRibs2Q?y2s^$LMx(BArT!EuKff zsWe-edab+a)mbpzcVtx%EZrpHD+8B9e9FX2Zow4*cKcwPsjNRmNXb)Z<3`Xug+ckz4dF$kq62j>>f z2rN4Xhq9MIV-?`IOZDATPFx+R{)^@B1db`d<3ITpnArut#Ggxk z@f-o}frd>Q-T3ku&NX&VQyg43KNHTKz72kbe<*{MO{Ki993rxAWSQc0Y4x}2C;M0~ zFPAyk0V84aNoQlj7m9vX7*j-`4V+2LNAh~3KA6LFk1N;n3h)~kOZn1}a+6Xz zw}gO){nX61as@&+GyZ_g^eX5A_1&MVD8koAISX=5LaIUr?Mv)n>)G+;h;y@bDj2Wg zdr`0HUyoSspHKc^!)X2k_|c>K*WEPW@{k|sC+=M|;1g?ntIGjqKVz%st-|vgeD_@z zpJ#?%+3|h_hQ~7eZQfu%;s=*ym7(t zyoy6ro3(T$2l`xh;pBeA~9HcH*RxhDV+~rGODSs z7sgPE+D{E*0X$(9L5Z#VUDIAMS{MffdMTMQPJD$Vrx(=}v4$F!TnA-w&N zHg}(BdxV5aQe6GE;6~625HK{~@IDwwF~L_RWYaw7`_^Wv&q#v51lgb-Ghc z8cD-1oqV4Q)UmprcIXj$CF6{qOs-U|ndb2eb^4~o;b7j{F#%xmG~SufLupbPv`_VlgwNf9?-RC^m!Kv1&wG<(7X=|pZKP)_XmOZCv&CTP0c6`WdgyYSeg zi01t&4Ff;5yp8xk?J&83$#vDWVCLH^g*l6a{*CrLEl-TgH&HlJj=Kb@3}37as7kfJ z3NIQaZE!tUM=t}uGT%W`G+!ka8m}NAA^y2ioA&H@LD|LfJcP^T1%9Ry2|NUO7%)mZ zI}LzN*?pyHnF0vW(c4Zi#wR+x3}>x|>&ZuOt&G@frb!5$kf^1iJzBPx(5K&6oe;C8=(_ zQ+b%|qEdMZkj?|Re2v<-aXkNPmuEsQ#ek>&cKfH2YR)1yW5?6@6=*%i`0G}lNQK>Z zRgBvrObae6_!ymlP}Yay9Jk1qlGf!TD{u{AxDCTgyGw!<>okclXgDoP?&raf`YHrj|qpQF_W{aBXe9KX7cDMfy4JMg z?+r5^^0{9+{Ao&uB@mZzGM*V)MA@`}HtaM~cgHIenZ{9;K-Te`K2^4HqPTyVPOuw+ zr)MeS2eC{UAJPtal(dI7^pc^VUu)VTOhF^`#nIjPoi~7UfHmjA@l5dkcs}-ErT4nh zv31IHrdD@yfM&}yr-Te+`QkKrlDfZ-`?hNE^m#{h{my!jRdF{;CkiSn!&te?OSS2#%D znzq#!xgq5gRo|R0H@mT`iY8;atd_XWEKsq1Wb@UgB2_0bLrhoT+A>G;wO&c&aYHUI z7KvO&mCqtjmww|8hSeZ;i2p>rkp3v!$WXON@8rpv*>simnK=Cg|55}P4VKg|cou=l zlJ)frPBQ6|D^hn)Ht#7uzHj9C7$eD#=)8Bw^&oHF{#AaFo}PTM-6-Dm zR3ld90R85j{sjT!~gED&3yAgc3IV1 zu^AvjIh-U>raiUfPpT6V?MQ>#;<_atLDuV6D1~wa$)Crl*l_mmi?LnqGi{y1JMw?kb8Xbtq(B*DFa5{Uy9kx*e~on9dR4N2I^mCP)LZ|R zm48p$5J7+TUMwuIZ3xL|P{*aULOUXQ7!Kp17w*N33U1y!jgvL(lQLl?yZ7l zpVKS+fMHx+?I!t*A8O0Ig@%7PPsj|qAfTCpZ(}@0Eu~=ubbq}6T2W|Ln!ZBL96Xv; zt)x5(6Q?gB(|rTKTB)l?;z{tQvP@|d7Gn@tuze7#iC$M2l8<^RW9}o^QgiP(b{cvxUOwgY{i;)`w%?z{i4&T1BRDO6ww8lT@ERd| zAMV2&3AzS=qQ4)mDcBFQ$3<4ug?n;TnXaqDUxlf6NZFaH?sD+>clFU=KeA}Q1=&1; z*)i+LPj!{sK{ogo?xF6g#K-9HSgRD}_U}`(TGu0OKQ1LWa;(&Q@I}Sqy*7hGN*A@; z#a#dHQZ2tXWm3VSZ@GWS`k|9;fCw@c6Gu-aqb|e~d z>nTHJdW%()afvu ztzPk!@YGEqOdkpVlMy5zmw_BI*)OBc8s_{>wry!c7>iR-JJ(tx{tWu(j4%t_0;#lF z48~7oX1xttZ{>j!zkn~@l8y}1hy5LLF+ZPl*EdXN>c9o!#di0DIgAJNFOBZw!|7YG zAk(=@g$AEKJy4oq-*mg>I5{~9tnKUt02_j(gvfEeZ14GjXujevMscC(a=7tN17>5gUft9Nrsjlu5{!5Y3~S zrX#%-PU2hhB)Rbrk3W-Z@t+KUi!%%pqU>BD2v6y$WDPQNS7)r#crb3oA$~o7*?pqB z#G!pk(73+wn6khDWb4L|4}V+$U12y$zrQnpm(p?QLu2PSurri~obGiOIO`aYU=+iz z+97}?EDQ0WjOOM7Fgco&F%OAR^3@Av^)lW02pjHQn~P1^K2SWHg9m;KKbf~8(!x+! z2+>*&fvD3anDqtCh7eGMbWQYRo)dVN{;!S)by5(PX#PAIj!yzc2|jaB#_lw)0tMZ2 z&PZ#!bo^I;+L(d|70d~ML@#?a8qG5ifVL@$S{Y$fvk62G1cbA{KBJ zeUl-TOv8PZ8H-wy?@cA+wY}h%gOGWtDl~}U+STHDP|?oTjBMyNkiaa4%ouwPm9prYm3-kGiyb`QELB^z$U0bRITL;G?^>MkKk=$#eEfXty({%C7%oaby)=iUXO5fJS zbkS5M{CrG+Y>ShtFb-kL$?Dxm``>i0KXV2(HZ=T)_A=%7u519l&~F$;CrXwC+W@NS zJ3LCv(sO2Zs-u`IWpHEk1p?*VD%E(vg3z@cb_e!*hQzaqY^FA{U~0QD{6Y|SGlsP@ z%B`!OB9qsAx{^8W1_)t8ekOsp^CgR3Ia*!e3Nb5r?1&aWC&64EIA~pcnq237%1(=! z3_8NR;Zu7I^mzo|nv(78`{oo+($*jz>}@N^4?;jU^{Y;SULy-&B8?Q_-q)$6y?W1c zVFWLrq1D{qn>=BiQVMU?*AA|T+vP8H2E3rz3M4}C3d3uMyF!eZRZP^=oOCwdVBOeBCln$^3x(0)3QsZ@F*w9;#8!zzFXt z?iT0c`-Nz4Z>Kj|+w|4w-wesjvHX^9#%guY`nxW=>)#Zx|F6uj6U^eex&C7TgAp z-AXPIyLkXPb%8<>=ufHVy?Z=yo6_GK{`_32_+!7Y5^TR$?}rKA2LJ$796vu%K?NBV znr84r5&<7+TpY;k33D%IO4{tXnV*HJi`C@1$|_uaa`JaRI1S$)^QCLfNBW2rlSB5( zzwWZjYP;+lo(92v*CeW=!V(A<@YAQs?C&i*Z{%e0&vv&Gm0QQe0RT@kD5x2tDR+*~ zEmkBYTS|F>xM%l6&I26Dx)*aXX8{-wY_ zxQX>yh?nT&4|HKJqeUE2F7T5_iK=s82+Xy>2-UE9zHof9k@2 z9TmbJ`|6TtRLKI3c>`LxVlAkHe}Qs=wcg7E5JG=iS^q-RdEt|fwAW+!?0nOEjje)) z$zK*)3?~tV`2Q``LmMF@oSfw^_jMHDg@}T+NPJoYT+1_`@UXv`a^RA$B>~j^$Z;gl z#f61|#S$rfsoJAAfXE*56L1Lub$&5ur{CNbjePV|6B2&dFTQ&azFgs3F0s`sHq|9N zl`=d2@sB=z+>dec1JHM!5{?0hpz6GRc54^SWQ@S*LSu*oO z%A?ThIlSk2mAEUKfKbHCJDVz8;!~0vKDzz0$uubSupsBE_=v!BrpJVMR5E=*BHV&FhJpw0-z`G>sDP%-T-$J+ zq@duZ0FQ;ps;k1kl;z@>M#w16;F#$99(<|H)yMaQ-&%I=R>%U_PcK7W%gN$A{0m`P z6JJL|6htTj>%Sbt@C|CKFz(tda|pg%d$duC8%3xeD)eregofW`tI7z*ht{fcR<_}+ zh&RaiIA+eku}>(dgWBV$wiAG_A3^MUe7;7&npScA%LG`&lHZjwrvsh5++x+;8Btz) z3FHo?K#gryp!I2~QTSSqr@>I?9Pfn#?y%;%9S|g%7I}k~&k$rzI-Rtj6fOH+=D!$J zj$MxU@fz2yo}ya)s#*RU>K5@`3X#z>%UXboxwzu>1!aByy!C=kj3~VJebAC=9U-q+ zrH;;LFC?k3mF1;MX9w!?WsJtcl0-T%C6cH$&O57Vd2ytTO=OAe_oo|Xy^)Knw`%*n z|J`V!%~u85CK6|b`Ucw!Y_m^Y?XbPx<)KfexfDmr_!&_|qZv?CSKA7tsas*jlVI&! zlbV;gXWYvOz`cHdXS&hzn}6#Hk@kbBrD`%r&|ip?ULKgT z(LV-ny^~ey2T2uMFp3id9s)etNw7p2fpL}>=|D%Dw(s*et|oWWDhLl|!s+tIhxBsO zv1Yg^)FgfZ2{F_|4j zEy77j62)wu7P6P#1CQe7`5k8HwDpUd4Z8OdGy9Ms34#2#bPH@JWdLX2l+ZO9s{?J% zah6HxAAt_(PKD?iIt%}(!+kEMdmn)Fb4_;519_#tw+t$1a33&QpXK!gNMCo!@E7BF zyXTX7V<1ZwY7y6-GZ$1QRjR{+Wa+@y{_MLzrwSWx;O>dokY_FHAt_WS!$qleLU9b# zy(oU!wSQ~p+cwlio^luBq}n|?0my+D|A+?ovR|&o>x^<9tnShao~^IaIWE`pBJj8l!gNit zV4WrhM}o6ZwzC9>>0y`an-1j3UgsLs-RA^-<<)!Jx;6I@hen;N^y-zvnmSYtNABuI z0M8iJrPp&^g}%fcYO)MWk-sA*PY$a73>gneUKw&Zl4{aBG+Rkvfr~_9%n-XqmF1fj zG_5x?YVFN>RNz8Hw{>2>@-8pv8`;R%)|bp!SUN_CUF{SGam9H4AU!a#l>T-k|ASi< zrZYFp|4$>)(@opy_V*ll!F}hY@hYQ`(~*2xpU|VzkCg=UXr!zH7b{xnYS8$$rZf&( znlViA@P$uN`;_2a1vVJ>=$(vyT>uA%9Ly81KVTUV9?>6kgXxG|qv#u_wbL5zw%y0LgKYmzbads|b zbO0#2ry(i=tv)WO&}P3X#O=+<_J1oLxHK?zR>S`)zh4}eRm6k|xMlOf`;dON1rL8- zwMnEbIyhbF{Y92lE>-xow{F`9N*gpgl4qDuP%%(Y5HAsPVuOhHugDMfZqcv^h!kel#ccsVhQLdqISk72i%*8}m%mF~bc1jOOsP{vaEF z*9E|qHJGCA)n%G@y*(($2;PUH4mS6iMju-+3Tj=LmJ97*HsnJuzA9rc|D6jndq~)J z6NXm;?3rfTEQjsBKqhT+p-jJpbgtR0D@{|~9k7GLCk4-uL}l7xK-Ou>pW$C>$zE1~ zbJyz>YWM-}6e^6f3PNEsFxXbtd{LusGm6R1~jsH4S(%i&sz**te zZJihJCow3m9in&P(GR^qZDShZ01{v4f=u43+Ja;8OGV)6QUVw4@bh>%C~)`JJz(@_ zHD0AiujzU#srUKLg!sWE@X|EOdzZ7OCGG?ugju$0pV@i_+z7060+4(Bvk|J?B<~M4 zloo?=*iw^^QFRGZNy5+NTM;WD2dLJi4BR*Sx-k~9AD7p#6#1O_N+C+@bE1rdqz5SK zMhoRhG-g36dkgh3#C=tby=pF%o;H)gJ^bL(?gkV3bj>h|Q>5wQ57rJ1Myg$hPU70I z`%)>#i!cJjPT*Ce$eWqhpEk;));$^tk2Mxca=EODrVnuPoPlJHKZgxvr=;F^;r7JZ zfM0DIUt*57HdIZ+gJe440`UFLA;VczI7L=ZKz0A5H}14cPts?P%$o;wzi5P$6CNZz zK`Q1-HzR6qXFcw!(+UkGx_^ngM{`AFq#$#O*(nnZ!JDv!wM46iK+QU~M+1{u5 z{T-xDG%r)zHU^*xU3*D>-SZR;huX=l!6>P6y1*d$+~3gwt5>k?p06IH8$HXp4=t;L zrIv2L)us$o7>!s!G+3(ACzWw$))-dP$aV^@fF{zuT$s#Etf$Gl>u|m!tpCZqw|a$% z`#h@Sp8FE>(n)sr#UjW^k51a~tL`|I#v=M}(EWywiK764)M1ybepd**kQT?Hx2uPU z`Z@PApmaAoI$Bx{Xbd8ACv{xpgd-3L$qwRZR!}+ z*OBkxPlE}&Z*}x3ayB)!8>DxW{i9J+(Z_8m2zcthzRfQf%j8j_e!BcI+y0pVAj~a# zd9Qit9#rMf?@#dyPCTBtba7T#qPVIVn331Jk4C06St$YBgfhF%hy9EgMxgzUv8A=O zrtBeXO}+h#Om=Alw(mnq!?-c-fnI3eXxCL{!C|6kkEp#M`#|gGiD;m zMf0?%SI(?P(@p2UNPTpvfBXln0AT&84c^kte7ySQ`35%Vi>+iV_fnhQ4k30sB9XAU z&pB)|gO(+)jB}}s_B+84KzC%-Oh}Z!4+6qilA!15giJhJMP62_5Q2v)`)1p$nlXAlCIZ2E6ZzM?UU&bp*o+6{+ClfU=5)QaF-4y=KjuxKT>5)0R1=-l1gk za*ygKjmMlJB^qDiDYE_6XL9(c%PH2@8ubprKpu11e>+pGegOf@6y!UdUDeHzCpn}8 zKx8b}i@;Kn86iEytLG!Vm?M757ZqRXzOWJeOr?9DyN-8db9_Vx>GjMwyecjQ^|sh} zYNxP_@IGpu^z1iOYVjwsHM5pFlGu>LMc=pcvCdY%gZq*lgSmPKp!AeBhDPC!rw4#^JnVh>2zc@ z3(MrrC37Yl?(?=FZl{pC6Zpta?@W;1dug(MO;7yq1mkz;(= zD{QZ;>Ov=ClcRq~`0%39j0ybN>8%t>7A;H2V$Z#G1qFDlP?n@FZ0e+56%WCgW|E`i z2I8J_i0r$ees0W*c1l6JJ?KyrTUmZd)}$_iyH!cvG!`3p)LzHU+f=$FE6>|>JQgx4 zQWGkW<`W95ti)Uny;@ctb%i|GIP_V`IpDi8;60|SbY4nogif-y ztBM>NO7V|>UNV3@9m2>v4^fo9P>Nt8J~G$-^Z4WZ%OX(%me{93QrSZ9WjnTdU|;YX zz_htfr0|e_id{$b`fB)^!=`9da8jzENHe2|T~B@5-pumdC&y|QlUjtrm*3{{N_Usk zxQQp|#83?N306PX!fE1Q7+{f~hhv^55XHTDcs2o2BOJ?n^3(BHrCMdqBj6~;B(B!8}uq*;Ou-yYAHWiBBN8e4%E;By!=<+ zFhPf6T0spH5*xpLQ}_it2~;nVQcZ4j4rLve+|^1s~-k6@1{e>O!ozbQ+xj z)dH-$>gQH%Luh&!vhNVgN5CiVF;5Ay^3_xWJKCj=elW%B)MbE*1Nofh#K<%7oN<)nDA>Y<(0iQcOr`!vY z%ZfJ3^hF{COO9O)%62mX6o=)(pAVjIM}Vz$X%H~CMyh^!_@s;f>@tAXu3F}AG$Vv4 zMBvc~sZ38GRTyK(gFU&Jhha4Tj2g#z3CH*6k{30`e!({*as|q@?Ww9+={^`ixVd%L zKNNol#6a^mH|Bd@4~k8nkk7XR4&K;54W$OaV&ypwGl9^-mMFnM9){IHxttpBt>YO$ zU67m5TmQ}q!gB=8A^$y8hL<@BLKsfVi)`e)>OeLIc<`Yu0T8R>E#=sIo5Mp3hz+^& zaW=vNyw90R8xQEYE+4=c`9Lu6WVwn*E`9f!06W+w`@=4W@x|O>y^KWG&2)}n@gN!& zX!DAVP8V^HiwhbQ)=rum?aR8AJ_e3lrWeVYGlzGba;SJ~y=YHitJWDVMKWpEA^z9n zjZ%n%HJ|$PW`OEH_ivSF`(4bz-J&-S$e{3nqm z_orrL#Qr?WWB#PFy}~%~_CxlL@AX&FIl%E+W-BTm;g^s8DL_MwU~d{GLtg6na@{gMZc~}D@cC4Iaj-`B9al@H`Cf{3$#uxjC|Jp^KpyU zGilc3SdT8ttAu?-DP%ol(ovGa;SM43!G7o@Oo{#%tBJSx745T6f3Fi7G<{>m^S#%Z z*J5+s5k*=~A(HOh;Paikin3;b-`d%dF_q?q^2>~ORA-1j^8dn28}tXh#%3Z;r~kAX z1b!8s+w88=|ET40@O@lfq}!p^`Zq5HxAu*e5#ag@8p~mHB41LMwxx3ciaV6v-f$m2 z;X0B#^KIj;O_@ijWT3Nj=s_cR((X;ZWbwZCvlu0lL3g&o?>u~n8snT&Man;G)=lKH zSpBt`xg@;UuH}Pvj>G?idd677SNQ-mV-WE~9dN=PfRX>|EW>;JV_lMC8;VuM-8gaz zw~ArFk zga0f0@b~ZO2z1lS1l@zt6rVeP^~j?bC)O>=o$DELt}9D_JA-jRnUB5ZZEyi-&0+74 zS%4yb0HnnJ{N#0i^>?9;&y^Z}xoF2F(|q9)1uTX!McmAWP1 z>*%LEInNkuRAu76c@D~iR?nkt&$EU3JXvq#jHeGLqM{5)QPL6`E)=TH<%pijQ{o*82~k; zE&9mA)r5}#RCyz5%v{(=wzA3li|E9Z%ONSV;qWltAz28vm|ap=4;ggjGcg_8?}WqL zUmcY3xt1o5zl|q=yj~LL$(a9E$I$L@q2xMiH|>=4Yf&K930D_|3f@!_wGdpTi-mal;C}zjPV%u&%xPg^% zMun+W<_Dxg1wRcE$ItKFLusFq{P_y^q#K!M2zO+Q6513U8lHJl(Hehnx@hbGG);^I zoc%yuj}K*L`<4na@->tEqk6zh?M-!pZZA126Wfb7Mz5;hY~H4VYBQC)fMh@B5iQLj zrv8LGIr6`O>b3Q2#D`IeTPf`tv|RN$MY0zli{kIBMEUVpSO<8BpohKGtimVmGoV6r z&<{W-_Eri$y`{Ek%4!Y_2v#w0a~7?z@V>pa?2gFzQIrEawOL2Pfm`H0ne;I5;aBC> z_+ftk>D7AHu=3@c9CL6j6M(Z#0EN!mQ}|yz!`&$=5>g7uZPKk$+yMLwYHf*vWUbf+ z?A*tQt)>3~Fb<$z)WY*tR2u!3qj$LMX5WkzauyLMSzOx|M{%kC4px+`7jHdvd_w-3 z85#Gaj~lI!0?BKuV>x><3dxy65-=-jS6++R z?7UR;rHXQfO&9d5zWfCQr z)$h!NQWtImzm9;Tdar{?Vhldk3xJ77SYx2olmoIS4AaLe6UcVP) z+5gaUMRCV55ZC7PrTzYI2FldgO$_B_i;ED&q}Ml7+_x!5{HSelI2BX$(yLefwgv1k zk7c_Z{dKEMMOX;iTVm;cDdy)h>1ZyM_U$>$n)uBGmyQQkjXT+FfZE)z?{5d`XTN0D zG*Mq1T~t73bcer!ur4wm=6;rKU7|moWS*0T=HgNMB`8|A1D^?!?`A2`uj${@_>lr( z5Be!YijlXz%|zxKuo7m;3EU*^JcP$FGteATu^uR!Vi7NXSWsfJem4jd^Cpqv=Klg~ zf9fmOl{Ws{mH+|edlEbey)GX58kbJi5*0uL8q_JvTNUDfx z4oP-@Nb#V&)t(@eN)=(wUt2_-R6=i(E8SMv(#F>PZP1fUEgiknDLHhk%cNw@{Zrv& zoS&XV;Sgo#mLM;+I05Gl>N3~q`^6ponR~`-fowMJ9Gjr2BBzgQa5vXsL&x>A_DLDb zg46Hb(+vw`ZpR;VvYn3f#1hfBz;kUJz}1ERaZup(VvOIC=xWHDRFmp%^7W zUled(O1SFZw06WZY|vllx)Fz-wM^|3y=~kasRC(A{C2Mf(oR})p`2mlLm$!u@DGFb zM{^KGZ4OHKh9lkn@Mnvq;xffr(GGXu<<#56*VJZ)7|uVm7lR?mJz|_brZ^;rgw8L` zn`P5Wdzas5k?xGa|&L#^bogmm) z6t7>yy1&CDMxT@v@jyn&1uvaO1GSNn^>M&;HYDv1tcTcYv;$*o%%<7Jfip$XRtow9 zoYzyKsL#CaNk~UwTX(4kZWW0O1?0pVcG0L`;%_|wuST1gKGXHkU{W1D4pT@gL0Aus z{;ffO20ZI+>wKAxLE0zhW)?gF%Dx+rghVynNX)&@l>Nu4tEUY_$F@;60TdN|3-7w? zIj|d@!k5|9rsS>Y+T18F>ctO-iYv&jTfq@gak1a7!7=X{eet<~xS}$p#QaCHfspsy z1Ssh)ZC6U`^?XTy8Y}aY#ZOYWSpXNV>tWyLCtyW&zlHtZ?~GGz+x>)}H{YNAjNbyg zXx*Cbumn22GkcPM-|ryUqxh1v1u%K}eHayfe0Jj&eJzZ%a`~~#sebjI8k)(W&20O z&un$LbcT@(qeNblPfvhd-4^Bp}h z{4RU!aZ^U4#~Cw;^=(X&u)t(A+aVHu+y_6F41X)d*uR6@5FOVjuY|84rWUrg+Vahz zlb7qSBvvt?fqB(9FIxt0Y?u+k5m3R7ps`qb{qFey)qSw4>kDW`S&l-3?SFx<1zw$H zlXZUYiiUJsVRrM;KzZajEAqjmM|5a*4Gj$#Bc?Nrhn6#O)f{#+vHXD#y)-}9dZ>~= zZn>9dpl_ArW+EG1avn)wKQ(BM^izvyr4+D*SD z>*4DReQr4VlWC2t91wco>&m$^tzF&6;L%;;dj2}vn0(^GkOr*hI$Xv>38Nv&F5Bk#v8Hs7wtH`N-6Q9VW z{NH0!p)IlAG+M>7bL&~@uKG14jBY&2L0R)^`Hu{R9+shgNseTu1+W-33qpO29Q96huN&M7mqLn?bsyQyL@`2?1#sx=Xri z=x!JoX5RgLYkhxMEdH@(@7epluJb$&0Lrh5AM1&m<_9GIUSz0hp-5O|9W!XH^Ht3{`Xa6Ww z%`deTeU7pITaHCKPG1|R&C?*vW1{wR%N_upGh3;D*%^bmEK6Ym7hTVfMsWke#kH#p z)wVXk=%T|K+)sndV+C7R(>zhCFJ%3@pI%WKkrOOTzDPtB(WU=SF7Qh|Una)O>%$K) zzp1$`84|0-1_6iR3f=-7TwiE48J0AVZ=jmQpA?!dO*(zc2=9rUos)jsesn}nP;kjd zOF1qgQblSxNcpa@WLi3{$sDA_`X2w5r*xH1@vGFf&|Unu7nI(B!c878aF#?}rm!=C z@dd3=g)N1`4WK(e+)hy!(P-(8zza9X@!ie(0>m1(@9JM_8L7Elh}}>>SGEkzE7C$0 zQ|AR|rW?Lu!=y^R>g~hhBwj~^OsK>LSNwSfABbz zBo0`>`HRpmazA=|=sGU^nf~pJGlgBfLpo`yOUug$P4rdu`t{vqX)@Y^(M@a2wywZ9 zOCddb>E$py@^as+K^sE` zE0j=tLYvjJ$#H$(X`K}S+d2F*KwqY^k)@WoKITqH#M8|a2BUbpG+tdZ@pq<>k!J>r z*M9Fc=TJh=Gl_%lk@v0WSB4D7rtp;J=+4XoJcwV)E?Mz4{Vp|{mF=kK{$p`KtH8-I zASLYTL0*2~69`(UR2)=bQ*_M-1AOPz0IK3^&;q^H;Q|f+P9M#lq*tY+?#V)&>uY?I zQGX+yJDjIU?*~2#;mqg9$ghIJ#-CKp;Bh^2eSN4kQjbjdLQL?Qd9!7h;x~gQ4J6M6 z)^fcF63vfImw&*-mg!5S{-q9qB!LqdP60azX;DKa&PgwIyI`SqcPhc4K{#8tyhgX7)JK_6;%|3xtP>)!xV$-bE2@^3xx6`5`5c%HW^>^;BSnps*F1I zVGZrmmp4B$&@~Q}*K1Il~o%%iu3}>f&LslHD0!y;n_Q44AesA zn)Nep>xt9jwRV4-k@ho|4yCo#)x|7#z@U=lK7Kr!)uF+f{!HIz=C%VqX!M(RqWMl4 z+0=0%W(7^YpSquhSzD=7ABd>ULl#f9$7~X!n4iqQyTW%)E85;P@zQ4KS!b0RV;^iL zf-`%QAyQ59Yt8q*>s4A)bg zV#D1twFk3U@qP-EQWvkq5dy|XIURRtAgi62LrBbenemB=oL+&|pXnm_)Zq-?QFJ`=q3o z{aq#Jl0n#zx4f|oQNUdit~!QwQ*>ycRH!cL9A^PmxBzy!R!0BQ>Os1UJ>T_txlwgQ zTL6Gtl)s*bA6(>L@bU!gBy>+-G{!X2QGnT&zh1sFLJsk%kMo4=D$TF!+_FE74Ck$M z@3hTaaw2kmWL4MLif)y_C^8|bqF2BG^z-gI@c5}#p*e}!*1VIJmTsu*fq^piYOvV_ zCTgDum$9VCqreNVNR9qWKVQAqmKue$fF?ZG9u3h{sc+H7r%LOr4djNvi+bm8)gPyh-`)Yt zz&Uw7vY9}k(Z^JTVmyS4H$ZoTjb!GUbp97>a3EpavfB-5d@>*5P?=Z_fMmVfGJe~Ec$)A21!}}NGbx4=~yFlS8_cv~=i!1)0MQ=zT%a`F9j#|LMYeP?t zv*f_AS!{#x`Ep6=fntaFv||m>CVeOqTbz_to=AY~`S)MSr$16TsB8b+_Sw{vI#0n9H|?Y9yfXEQ&w`V2UwS8n<= zQjwCHk%CY8Pnic)!$JWmn1Z zN%-$-%d2x@Z0^ob#v-&_?^8HT z>X09rLbAN=D19U%hTJ?j6=?=qyV+YO#R-$xuw5nX-ACk8tzb_%|<9uLWPxt9> zqD9+Z^*lD^nG#-hxQOjq6c+4*Xy_#<#meLo-iS2}O@PRkF5XVnmHa*O1l8& zQEi`4RK2M=rSHQgswk&i>Dp**0s&P0?{{`SJW@c1cLMqMo;nNQy?9TdwFeutef7l_ zxti~|{re@&_WN=J$n{2zJpl}ur-j%wo!@4Y{xf)p8Ec!A#go6Psn7b^IEm-Hj$5@m z)u`M*#r#mJa8X{&9NC(Q+}8Tm{igmFf=+mXG_%~w-6a^vSEQfvS+_^^s;%#Mb*Lgb zesdW4kU%HBMBO$FcGIkAwmamWiQf0k|MpJMCCHPp4bO|4m_sgVUFQC&>RCdm=&JBD z45CrS^SKh^Hn_ZymFMTNvSNzXx_oJfu5 z((p*4Q&K+uU`&YF3#8&($H|h_x9Z}gomYA&X8e(&zVQ!gC~RV#gz0sX?OGO3Vrevq zo^L#`Glu-P(HdzeERVfDK$I-jr2u-k+4Jum`<-RLL9q@gxWq5 zWx@_ruFe`wW82R|nhy_6%!;-!>T`F%yN>ELE6;Brx37jGILiTfVRWqphd<#%!(W>X z9GqBA_3&eHHc8i))FX87YXrX0@Qw66Z>QWKXc7GRo#G$wo(?+L(byEG8|1GAJ+> zsR9=LaUx}Lk{HBjT@y@C@4NH9c-zi^V$4A5Nrarq_WQv# z{J>djR#ij9nJSglW<&e3)w-r~yp6G+b#<>i>bg7UxBKidsnIa;<9btk{P(_m`Yi)L5HCbZd?ANe{ zZ?_PMBX!+Fn&1Zfy%+aJ1*@B<{->A|n9NvH6}VM_UG{?{Gz=f!V&R}w)<^@awj zK1STMi~?(X>)T~#@F%4!E-p6vA%U5t!VCYQulbDhm?;{8dBG^iN*(k3>$;CrA3l_W z*y}aw^12O@(;_^9s?iA6x=o&MKYW`F)U_2yFech@@vZcnxBdEK>KX^g$(!zPETv3< z&$N^$B=`s%$|N!hGx*1TTJn^5rwnz1c6TF1HtxDLu~>XmGOJ?A3n3by7LR zzTgS&Xikq4vD(41O@4iGjvXX5cY7@2L)JnTQJPVoJlb#OLfHnyYl6SLd70nFFD+WD zfwfOJ$F5@tE3OTHAfTvh+4&$l22Ktz+eLr6s{0#Y@V=@kc0!MVckY~^LA4&!3!ZS0 zPh^$fekY(~7!(e~a&(v(+ULptVkO^SUEK5=__-7j?$EwLCi1k^@o(A_H0b8!t}-}+ z`<$aE%(;IhH1S`aR>UKD9e9ObO8L}Kr-2iGv7GOfIr)6>w`Oefm6EhehFv7sO~mnw zrB^fLzMssC4s{&WY>ofUazZ(r2c(mJSKi|5sl)h64famU6UKmjfUyYShn>T9d4JA< zUr%?-)m`J7SzB}8cZ#H_=2m&|f<0Bnlt%(S)8%f4uzNe}HGDEYP2_E<38R0tddnyH zZ&;Rf06a_&=_JbSRb7;WXFxkh@G!nAhZuJILtZR@YQf%Tf_|qrX>gk5 zQ|)`JH`)`A#1S!ew(Wq8?OxSnl&_(N#kkLF=FS@ID{c%j*$L_7Mz()&*!3FkIn@0H zH~HZhQ`+}W+d9v8_hL@d{9etXKPk(5Y1biOysrv6+Go88K{xkIWl|AsL%Iq4I%M_J zrn<Uy>-;z|Al^Vof%6`J39pls2k!ms|Q~kTrgb| zMyoyCqmMUxdEaFYrI@_G?6-)LDg$`&Uliar6CA*)G-IBk$Sd;+a#pcQkD8kYztoBMf!3hFvfDP5`-h z0eCyzm{ZDN^vxHbiYE*w?3KTuESWg94In@txp{LUsj(45x0eNV-s(j$?)XlQPfv^* z@Y~^GEwC`abh&IKPfno>mHbEn&ZE1mh?Ih;%f`}|)WamTOd zp$RlhLTr8pJt|T!5@qR)n@VB){5S!VWyD@enZtJgB9zeeB9`wtd|v^Cy9O9)4f!R4 zY+-IBk$fj&<{W-lo4EZfaGS=`V=cN8N9Px2#@ZVbZ_KnD4< z3owPl65D0R^I+uV1Z}@MfRdb2h`$`})Cg+vaPq3Y_FjkXd(x+dPdADAm?(6H1qEZY zt`!`z%gL6S{+2lvBg%Slt9Sc%Es;axB^r(PmTH-YEKLHI@iDFhqgE=|)zPLvMGpYa zhF(co;*MyRA~TY>#4y$S8(+`q_EbEiavcuLeVJ8WF zetM=tPCtx#Kv+zgZd8qFuzHchxFv@#6F7h{=g&gB6>OMQF{7B9W;e8KVPn5I;dXBJsFSDGW_}@092n;5 zFAFgk>FAn;ZvZvX>W@3!zT${k27krY_(8fUP8txdPJ?;Gf9Kxe;;V7Ijh$we`pkUz z3ExSv)p1TWX}x>HO3@FgsS9eIcp@uQDVG>{^X_;1wmOAtbmM@4yKx1|l$QhDml?^@ z<<6RmQ1VoFY8j~HRZWLevyoWG9dM^Q)u3)mZEom}Zvg3lv9Vw7B+B-?%Z`n!ZdWr; z$s%YXcb`yOfu|;BJ`%o%=EL|KosCaufMHo??sVdVWNUlR^90o${m({5GOVisA%m>v z`IqJ%1dq<&5q5xzmZ)`qT=Mk%t)AGoWkj!uLhzooGr#AibA49!5zn!K>~bPfyu)M3 zx-=&&J%MjF2whzXNIt z5BcT(XUK1MnorN=aNk9Rcm+rm8sC^Q-aS%?eDvS5pETenPoLIn2`R}i9;SAdU=VS@ zT=pSD+1k+Q;8$x91()H&6u2*G68?XX!mYG zG&)s7kJYq4I)Rs_d|Q9+V+ZP6Iie@yq9?wl^X`VtL#!1#+$JcRNW33YS1BEq}Z_@o@2ty_1)1kR*GP^k#0_zuLZu z&_pOn_#oI@;~Khf?scBy9#b*KDT!rKAnt7k7gw_Rt7B+2N_%b?owIkD*E)1Sa9jp@ z`bh&z(ouKhSWeX=_?{sd1Q2wtD7X5s(0)g(z4J=&^!6U%oe)cFe+2l1e01ayJVK*1 z9+Pi(5ukOx*0|||r6-lUItpVSGdtn^sFEx4p_g}My)v1MuiB<^|l*H!$Spfg>VJ<{Mm42-px+y$s zH?e&@tD9JBK3L7rTgT?Mf+U9tWx`-RD3}>}k+)Xlt3pejEzG0i z$X6dihN6}&G6p}71d(Q2uQa(vO!zWXAbbz%)}oJ_PyO71vQliN=V>!&G)?+C4tVWp z*+To>1-LwF9KSJ{z>jS}6~UqS+H#?=bd-IGC>~C-cD*Oyd@Wor*J=jUpfmd_e=QS8 za+QJ{tPZSi%C+!}@}RuTd-{+TvNZ{^XICm25BQOHi7%yVCQz+sSCWR`-o1@+Gt6Wc zoN8g2^lIl*DTk)5&YUU-yZ?$?$3;K&M=$OUp|EMrCa7~oz1|tnB@Ma)@>f|#8y80@ zl=&|MUI{G3+3_=ErL9a(H-{yDHqm#Lr<4;SY2-+5SUB-s;WaKFF7g3f@>jQzb#gv; zE3^CUy5GGfR=oL!bwN}P=>j92l5+ra+08uq0A%HM_R|vfz9LhT<@hJd=tl}EPgXtUfYVs-V^%8 zn&#%?ky2>Bf-!5fXL_ef?!y-b|3&$?x!%2l&--<3G+T~l!*|@BJ<}rz$RD#Pg{;4y z=yFxO)O2ELJKB}kt#~~;rg@MzJQu;+n~r=Yj|teGd8t^;f-W zRG^DKcLu7W$?9fq@HM~+J_d~Jt(|&BC5Q2F98bY95ad!0s+~0R(~6W$mgpaN#>!;= zL(gydXY+W%B2dzqlBtukYAlPlwa;ko1gx7#<)#&J>6>+ssNEHr;fIp8ltl_D|o-N=1g{C}!!UE^e2R0swqikbFPKo=|+7Se!A;(*YY} zq;H!>G6sG3Ipe)$a_{@4AvRxYD!@DZes{zzsmmrGM}zzf2q342(^mYhjiGsLB4PbK z^>z4JXaiWvjQO82Xa&tt0k-v5Gav>T!&S{smGNdAmkcW(<=?qRGD1iuivbFf(um5D zxXW?3f4X_?Fr#^%3a z|K^<@Vy*seyZ8Zv!tfRJ8K}NzS%LSu3DG>{W)fuYJxB`IEL{P7gjs?Z#+##PL{f=( zWvhH?qWyX1R>J_E%}VC3c|v}`I>rfIB01fSi1&f}p1V-4{pBzzoy||daD`9*acKSy zlkRLpA(s_tme0^r0Z6`8!48^x(iUMCy~hGG#oAta!x zg%6PyVQTNJg6(NB!n~TWzy2N9d?lZelt2$;GCvzxX(w^zY$#)K={Rtt8(ULOude2* zOPm!%-^vH7s@n48k zEw$&XlRQSfV4RQ^j@q-VfPG-~0{o{M4+%@=f>roYCwz9*#J%gbu|~cnDt^Wu|Kt~g z?c*yg;7H(J{xP9}a0v;|_HR<$ZC!t=$^w=)RLX{Ba40G}Li5(;AD*ab37VDqn)#&1 z!>zP8PN40?`92>nl}myT>DpitsNSZWr{z{f(lWuy^N|a_E)!xY+aUbse!ctRY6aej zK^95pR=&9vU9VRBz}J{UL8jbyk~991SpZ@Akqh*(KO>QMLh9=G0-`L>@7LrEU10X8 z`l3aO_YmV4V=Y@qm~4hE?vPqQ>T43$cWl%oYmPhOAt%09gzmj`@WJ1@zkt>$YpEMjfeAFkiTqdp z&SwFs_qQI{<0Y?G2R{iR!q(jU-P?D*=BRSNPAp)--Xsvd&irFB3V?btK}2{|%~#d9 zhI?jqLeuGn=lnZ=mNMHOr+wmS*1@Ze))aA(sML{qyOA` zJ;}MJBHkW2=f^yKwAtKE0=%sKhUACb6eahd@Bp^cZ3t zu5^i&)oL6u39kFtoXF01=HUB6QK^{JulM3>))?^wIqIv=>?wVi1w<>|I>@pfB)tuIDM@cwwVJe);|2A9)l;p7u0{mV?qY zc~gb%=cVS{E=9?)_)8Ss7~1lOGacR6RNKJAEv%_^bfmhCJH-J&*EejU%aGA>N<|l- znKITcp;3styv0ZJUY`KkcoCAL51+7)o?2UjY=Z7u*B6VdCW{0(<2P6B%5vjPMmz%Y z>`$8s;@ipOlkvKKMPM6X-Am}Rvxhfemvt>;e!IOA(DZ-Bn(T^iD4fJ?#dVKSsq&gR z!MUG5x0={_O{N1oTh3)2*xN>upyQE2Uad{5TXdN=)i6mb^?Bp}xLDE+7&gM8@{pCQ zj`Kcq)X$XuDL);@W<=E=Ok9H(s(GDyMa=4=w|iICPG1_sXSDqK8C=e9Lyf~bcT*9XC%WO=|J4BQcW8Hu%>aNvoY4HY4~3FZzaazR5U`d zH*0R2m=qRwELn_F!Bd6)(NeJ0vr|;OEru@%pZaR=6I`*cUln}SbRR>@s`U*Nl*irK z(y?@GYKhgx&fE4mYxf?bw8=H=&qtDQdnpg6HerupQ4&0H5cv_r;> zpDPxj=pX1JOCq~+y}CoXHY+xmv@W6lhe6)P46-b?DdKJ}+L*SWV!O!H1g((>5yi5` zdFY21>IAC8m||U->jZ#N)o)fi-@kZ-Vso{aJ9Z1JtB$@b=$lgoRt);gi3HD*S<@j9 zzJpL4(_B0`Yjl=W9FR@=OdAa#Lyg zhybT^=a1(U@`l|HP*K6{Cx6HWti@I#>Ujn{XObXT_xslRWaX0*fFihTfR|cR``0dp{P6g#fw7$m zI;ba!5bJecUjLi5-0_EjX1TaE5-Wtz*REz9E+WkzDf*c!%t2cm{eN zwN?w6HF)?n_8W?_X9{o|aigMS)b8-1TQB_wOzedQoMqdsJ}iuu#R++i_Vn*?4j|1o z+j&3d|5YjU^gCO<8`ZPP4foB!8*LOI`asKaNyDXK@i>7O&62J2QI#1gLN#jqx}jaC z60CxhIM;*m@ynrar9p-ae=n4q(HjAwYb$}+@!~_NI!Ui)mQPRbpxCUmWoJ|T*Luf0 z#2``2RGh=t*`_jZmljI*;g?qD%7V z72oXhjV+l-4-Q+e_ien{y21mVOTV;ja1J;fwaO-y>sy{5`QZXo{Jw`nG}Az zJYI*7J~>M&J~KiuJ~8pRs!4s#f%GtR(k8g|OylXTwz5l42sELI}{-VV?wU2ep1{;vl@z)wiv24ViJzD!(K< zfq&d>iaN!YXrUAIPPko1E`CE*f=$Dg(gr~6jWwnL*JNk>E*k|aOwM&Ef0#7Qf=~to zTrkhX9u}w)O6K^sliU<-Fud`?LjZZRF*wHH?+w+b6VOoFT{?~aE?i){U`ZtHY zzgth5ZnNMYw^5_}1eBc}2)vnA>R_)7f6d;@)Fj)aQsyh1HxV=c4cd-qKBL^*-E5Dz zZ&KwaT*`zlGpkHq*|zXiceIETDDXIv(QS6!?nN4xa(3gza2-7W1yYh}V^>fHe) z#je?R@1o*3sv~6A^?|jNRN;kBT_AtbXkr!Q-5k6a7rY{phs}SRO62-vWYyUKCY!7EGKOA?n4$~}eoc;tR!cDvT^;E5uNn&mxzhB| z=Zk;7%u8wcA?{7#=E_2`O@OXaI`5irH`;TdV>xf)*!afme}CgML~k97wOx`RVrGeno3e?D%l%36Fdgyz(+w*N_42oE_Re zNk~Lt;_+t?SBc2?jb6cBDlMFRb+(V|)u7NOK`N0ncPNiehL0(A)ZM!`;zj2ep9zCR zd0emfWMXRnAnTA*)3<>1&c5F~T-VH`_87AvqXscsf3u zcd><`f1IUpi%%)|&Q{T&w9zVIj(Zh(ln6?acE>u-s;gKQ(*HaQX%bVnRAL7=EkdWW z^55Uaarv|BTxa=;MO3JKgcYCJ%?I3a?97ZRHVAwR;@5^(Jt?$@4CManFQnk|i>_O- z{&3=^^C=;YdL**%Uj3McLJ!kWRQZ}9nmv)@*((~PY^jp}mB!=znE7KqbxNBzEP;Oh zE?88}yKAGT#zHtQas@;WE_hLNt+OtY0Xk)5nUiwGH~kg-klBGtZfWh?^vdJeC>en~ z*cb(D_-?FYOzdvh|H&V4Dv+XAr6UaAfxgUZ3O2YQEPx?eiZI;uLLrIFx!nHlW-LWmwM*w7O1u2$1uR}ZQ9qrF^Dmzv2a2}}v4ML0jA^9iy zZ{&qMx>%H)h)`FLhgvPuLlDO$Y{9Iy9b5m z;TOP%@N3*0x@v;)@(R*_J`7yc*9F{C#X;S!nm43}tTRT}SuLZ98j+ilMjk+0MO3Ry z-L$d z58s45@Iyl9o;xhhEXun6tUo^aN(WV1ksstnvaOK?MeR6m{(hpAQ2u)Av#-et z9*D1Nm5)8Y6`mcA)@l%s4cxY&=BX_1-Qmm&Z_f@oBHKJ3oEXV*KF-&{xMlLVXXvff zam(Qx=328#IDIBBSxMI;P)aeR)XX-ByfV~-A0JU-^8=EtOS?`##s7NN#*a=9hPzsS z|CJP$kFYResfxY%dw1|)9{_zl4(+I`cX!cSejSppvMdeIx!1f*wRs0a0f;1FYNeR$YY4XB#PoQ>Kx5lLf7< z16&gT>4NiM6QhqSP(pL@VF0%Er%(@RFOSsLp>=|34e;$P=`2IW9}IN+?yIp8p7VP1 zQ}dLq(*cP$qpoPN{hPwL`Ok18fMGYN>%|9d1~^f52!{J3oA<#RL=Wn?>Cci3!gSq$ zXcWmwS0gE1fDDDEvV;-K-J*y>MD)yy8%wwIrRkQyO9>A}e#^m06q5L7Qn%5g5jqS9 zT4AekNC0SkiZbvVOYC+{$^J0}e2~Jyp;d#z+=)tqWgWxUEs|qjC61=jeN(Fv{n$~W z?Y|Ay&YJoH|09)J)JZLId>R$qVJBXuCpAWG8p7!1TJ6n#_$&jv7LwY;fl~k%*eDQaHta`}|u@Jz%iNy>TUwRSVi@iqJ(w@BT+heDO zjtnEoI_hOJP0T#VA#;@^myr*gQd*cm&9;;_AqTNHMl6o=hk>)R*DIK*A1xlLFM4=J z?NIYJSYEpeSSjYB6+TrjU@b`_EQ)o5<%QBXi|eN=@Zz8_AUZ=D06e~*k)L6!E|vlV z8oywIXI%jOfW{>VHP#$02ZdM);P7@aB}lz6HB;(rCJZ>o2Z;HnC<;87=a*C~fDE?F zIp``Ig{=-Xj!E`NDpFR8< zTfPE#X|5+g;==%{U{U9k*KJ37*f$E3p=6UTmOQpN}~QFm;x0n8xxn;&-$h z=!61cO0fkXRUCRVXT%q*12vu9ta#s6e3MY!fK182QNJ;1M7Gv{@lu!R#0>r@A{0M@ zUz4aayugv2bu&KpT*lTh~$8)K#Q%j20+Y(fHmv zuQm;y)lRXnEW2p++zV_yZ9=1z2DAqR3>SN1qTy7n?ENc@!6aA(5aUAM~|nY;6+@__yU6WaWv24Xqp8O?;DiY zt^-#-BcNtlrcZppc;&Ej$*FDYnwYO`rfW68Z{q&5+312mbQ_#?joz9TSHs)Yvz*iZ zlm6_(q#T5;tq2O*(FSL}=6Gdql5<1f6G1>i-KOU#HeUpdX#iIU#E4BjfXE3&9!kC%@bQT+?k`S_O+__2A8l$uE?~iu;gRXP?4f;gA-Sj9L*cYW0 zOXRlOfcbev$?O3x{WYa!?3iujdQvTXo^rfY;4hH*HNW)KD^ z?1DtLp}@f$@uHNKCkEWlCR9VcKqt9^i+ln%uRGKpuudVOAL{T~P!n)qOYq;5By!dMW}v56_J7T)>}gt#XW3VguY{X1_W_|Ha!!^Q0^vMZ9FIi&Y~uLqzKpR>3_!?G<^&XvweH=Wj{Zx?!U z+)u@KGwErV*52$t|3mv$7euNB(4W4%2%qM;+(~fbs2j-o{ta~Pr!e7h{ds3go$(Ib z&0GgN)Zx%tyXZzGA#)F@+g5h^kEt)$~ao|D~C5z%u zi{7B&REoaGe#TgC#x-fNyiK_hUxE`KYRjF~yA>n7Qbp?IU)@X&1{D}JStEz^og>i0VIM)#xAiUUWR8m;QkO8q<7*?iC%1)z5)IU575!^v*0~ z^;!qE9EUjRSO0Qt{q#s4blvQMw71NNcuD6!B2eO>>-=={E;0ZadN*d`GDE_;JreTe zd$j|yx*M!6g$ScL8I^s#;jBM(Oi^#sfw-ye0Ziyba#Af;L!iSFi;X`ixA+Nj-4Q6+ zm7x%BhV}+}pN+3u3@K~xx1$t@dlV2ZWhVf7+SI9ObKZQyrOl#UtQ26tkO|&+T@8Tr z7v&PJ!%SF5m7l<@Qq)VtjS%PDEGX0DglHRfvwBBK8JXYBWr{-YM?uqbyO&@THF?jE zh!;edT!kh|Z%Op8x%Y!O!ac8UUstea?AtfF` zd#&+Omx?{bly(MbcBw^ke<%0<3)&Kooz$}!4!z|GS6x33_#Vyy8O z?;2lk>MVTZhTCe{A0>aL)csHXQb={@qD|Nh zM6t;X*L$HiB8031UL-AUZ7nBKUw^K8DENf075VQul3f!g{0!xYWaEA@9P}Cj@3Tr) zD!PC&r`JAE24{zBE@u4aH+LM?BtdoMFWhIKgMs;1OAU#xv?hK^m|4l2K+v9Z&>3? zFR?ZV&gvMOB-7W7n|kV03Mf#GqK{g&3fSqcy#yWkT>Np0h<|9n@;MRsafczZL zcb6GJ=n|H$J~b+Q%~~iW=S*^fO&*l2F3u}T4gQPBf+?Q^Jh&2AxvjLTL-MgO?+Exv zwzQ@a=+87HjcZ%tuB76DJ6-JbuO+Nv29IQlkQ${Maym1hAK(yVK!~40fhcYMo3)L2 zt4c^ho1K zCYhl=#9y!Y+2yvK=MNfszCS#E8X!MRgTu)_V^=lrQWb^Ij|Ta4p*}^}URR896oY{0P!TC)Gfj2l?$lg+y2|Or8#PcAlj2v)KyDRs}b~-;j(! zKi?uACR^3ADd|lEG|1I@I#L#$i|@~+J*^snqN(Zw{WQfa2u}xvvb>R-^pJFC#6X91oY@_1z0o|)tfV%VbcI3G|Sar*!>X&!Y6_}+9xJ<|f> zh@vJ-q0@S<76$Ya=QZ_bO-2}X$`Dq-t~BNmTN+1XVKngf)3P48+w0)0N9#bisIGHa z`QJrCUh=`;#_6wtAvdK@86|b)r!S1o>RRGtw4DD)e8|{m&ypA^&Bi5kxaX>@OXQ7i zP{=wW^sEQ3T3v=`oFY4557Rfi80G8Dz@EdTQg&OD|23lVl6??HsDm^!IU%Ye$M6Z! z=;gCT-ujVB%>;4v>VC+1qQkJ^F&^SP0XS#0fk3@-hK!%r(MDOK!Cx8K6A^>1y9@O$ zsfU{xf-?g-YC4I1NIkaItAU^ADae?xQ66#PctQ8B&3L9f=Z#Z-nnJVxxRmSM$)`XI zO0X{@LyJ+WN<)!Io@Xtd;dlblcgC}l+JnJ&@k?sj{x#T|q9tINDIA5Y|c z{Kfb8`LD=55r76d7VFXE+QHLgWbbOY_YOyrtA{KxN9!xyXbIiuEh_Y=6a~ zi%O<(8!W^ecu=IBGxm23wJF`cr&s0GXD_OYJso)2JUEzqat;DcYVSIM4wZ1Jd)05 z4fc4P=I_o*37&?#kYQbIy)y0kA5CZB71bB6VWpcNEiDbwAsr&!BHi7c(nE-Jw{&-R zmvl;ZcQ-@L+~d9L{sk<~S^Lc1-+tfc;oL4tALq<*3jFZ=^LdK%QLxVCtt3C1gExM0 zrtr(l4j64)Xq3wfiHV38A~U;-DD|DthlB;CkF&EMZJ0u75}f^k75m;ITmA+FV}xy+ z_jdR}uy`3r5B~{5#_y%B!}I06ixsPocjDMdrMo7o14@H3tI9=e7*c_08V24IYv^gt zc&4K`u?(1Bi?&LtN~U-XSG;u8ifYKUpNo;s6MvKCe;UIz>WgLl)C7efk{C7t2|GAK z>=B$%d_l}C6O5qz67*;!{~GbkD}$%($BKPPVtY$PQl803v>z@9H`!t#e=1D_bv=t3 zb#o_s*Y)CbMc*)m!G_mWzXm91HL7ZQXo60oJrXv_|8o$5s&*sNunfGnl%W zq!E@AL72VypW@GIcB2nML|$`;jSu8vpxSDK2|TmT!EQz^!~#ccA?Wp(+pM#@y!lAn zZ#dsfJ~BmjCo(eax8>>@dA;p=OnG;n2xZ^LSl(sT$S5gPU)vLT8Gip=-7z}K-svBb zrHR|T<6P}k?fAKJ%OuS|l#CD@IiQU&goN#eTk!cS0%ln z40{_f_HSBQc}D;0h%r4c=3ldMKL+%|h+g}J9<|@LH0r$mZ>z%erunzy3C%*zmB$IK4D-=b2ZB%aRPJd@e;D%VK+)WwidAz)6 zTVT@22q!&Kgh^fiRD$NynPabj;O2b;KO$lVEl_o4&Pdk!cn!uYZCU3mP!3uA+2)f6|UVfZcgH1gi!0?`zzFPRehV?uP2Si!VM6v(n9tr20zxDPw}2P7B@U|jVd@HO5;O9M zmn;#e0u_9n19|>NdLk#^V9Yc<(3+!9J4YPssg*Iy3~sAk9Sj$DO|GB97bt6(#D<|_ zWk(V^x2x<%UMRtHZVy<7%-J)&U7Z%ba}%)D$Gg=3DX(Pkx-jgNWA!nij%o|Lxh+%9 zHaUcCyQH^E(vJxaTX16Lap+M2W!NJsPvWLv9aeqZ&^O`ZTj3}1_kM^c$H(j@L(%BB z@H_K&WJ?n1wrvb|IliX4p?7tvFXbEDSSBNQDF!U3cr)-@9{BxA-RGbzQu>}tZQwE% zwNZAYo04W&m%b#ZY*-!Q0eAeLbo*kK_lR*EQ14ca)IO(&qX^<|^m#oD{LfE(J4C|6 z5W8REZ-ZH$RDi(Z(_!|e=kHDj8E-$;T|{vf>K+WgQZ~XRMZ_(vNG^{n5>4CM_74pI z{6rJz-GhI5Da1VLz6Qo}9o3*RhU=Imsf}9|XPY;zI5Td?97%Zen~;N>SFFoN5Wjdx zanNOX#JBFv$cc+)0JG6qt(6Bs%xH&lXX=8#hgQVPdv1DFTC#m>n z1BNo4j3t9q(=l7N;}l($CMAjl<9})J^pyKkD6xz8tt(7NJZh8uc-4bX_@1wl@Ll^) zs}meH?CI1lLOm@hwdkZ$8x#k@-D-bNy2}_u?RT@O>oP^-`#T|xn|d`Hwb@HRFevz| zdu~qhbaGq-5ntS-3=s>9Nvzj^2)9^-L3F(!SrTgI`T!4e-H6T2!9Q4Ze2%yuJ~f=#hf8HFMTG~lUv%0vc` z;ux-c_-#vn>Z7rtpnD{!yj-4-m;-(&MHlddlO{3jMYVn!#T`p3sE!0X(PRposG_lU z-o@+6y}k1pf3}p0Ebj_<3muZffpLrYSC%jrAWy?qml^8*OrbJp^w;xy5jdGLiKT!* zBvCJN*QM+BT(Y$#E7U@t1)B*bM54i6->Rg6*KiXOA=P5|`?+FH z0QUVg0dk@cCT^^d^;AVP`_)xHMn6`VMSm6_mXwDcWrEn;DnIu0q|3x-3mWf1XEi@7 z2A3u1eAS3j=9~Hu$V&0`XlMOwZo;JdvGXzwsNGM~z7ug#<|068LUAr|D1+9EaryXQ zzL(+iWaSyw{P=o!j_*F{RpatCP~78PcEoS1)hmZ7p-0@-y*xF6VofVuB$+2V*snK@ zj|qvr3`ju3vv;Jq>%J1|$3EO?6O)AZ%O1a58n3XT zRGJd6JRPw$g0a)Ip?!&{ZcC`=bWSe-2 zC9?4e#+|GXxtC`7Zw-LQ_03Sf7{qHYE9C_l3a3WQ)ZP6()8$s@NgKlf`<*0eHjj>J z9ApYWX4DN^*P|%Bl$Pd7*B+l0cRlm~*sB@YS|-R$ALB8Cxh<6mvi-U!csovo3a|Gn zuR(1((eLacY*#M5==x5QoAUs+6>FDiX`HUtylXFha%G$eJLb8n0%{^iJ&_Jyn{@p= zK)|>(KJ$egdbll@(w`Y(_ToaueW7wZC)t&5Y5RwuMGMFGer{HAAaI@euCbH5+KWT) z8JTUfD0=3P`GM}4S84>_6%$h6D7hlx-Z4F(SZd-6N{|19&vUW1c+W7T~$}S4v*#M{}38XB3#)mZ}NFb8|bz<4BcGngg4LsAC*9KygX%IKgsU z5(5yL-OB8>9qA(^D^N1`{~JF)1L7JSn?Mi}EnfU0{LKgRVHyNAal;=8dj^O!ls9i- z#091GN9G3eT4#M`whz8A7}Q=S{dg#{nT4aj7#k(#6{qru2w2FK5V1ieJ74-vx@A|H z1l|55*+Ds4N~<|)redRC409!ua&9rz4DSxlnc$ZWbaf|MHGhd1VPOo(vf%GEQn&_) zaqbzYL#ZNbHF5t)1okb03Hgi*mSoT!U#QHHQKV-r8bIg4bp6wclys3OwgCwm*bqdN&NAYdS-J#=@bOYzBY z6!MIZQO2cN2WN{f%T6sBMgwN`4LVmFehzu)eio#Jw$IPg4LF`OY*OtLYa{ghU&7Mb~KPKGtM(qDN z0_oIAkoK_|VXB}r#%U+EopL=Vf!Ut$53y2eC{D8~1X+b(rsXMOt^J-gzFJMY5;klw z=66QoXgcpEF#^tyPck$$}5o6*VP0UXTyR2qZm&X)g5nTG) zfluvzF)yjrJnn+R+!E^7@T=KbIOV@uYu`<}yX*Er1U`_DKWuoDKk=r-GGK6|Kr@ck zbQo1^u~{$*bFhOg!(T>QXd&ygCJg-*|vl~Y4Hq-Zwkd+u*sd*a>0{lA| zB%NUA{elF=Xb);sZgh?4Q(MqNm~;K`0cmAdQ#Yw}J)7B(vhdiipEc6}HftGql|&~C zdW-sSEbk+V3Ogj?$0q#V1l#P_1H7+;r|5o+frzU98&cB}Jb}LduNdBlufjyd@FBNn z1$EUmhPm-l=Ox$^4x^D!E6cTaG!)cRMN7w?f=6K{bh9$VS@0k++gqejvi-}-re9~R zlLiltxd`WJQXjqTyF3GP&qlPF=1IJtcwS?*^d2hEybtcjgW;K$fghxg4`|1?kQcnO zv>MV~h(^^$U5g%g)wwD9xH6|U^8+pvs8JAljmi4@#Jmg69Ip2M)oN>eLrzf7UGD;> z_{f!9$zmKXf05F z^y=87{Fr&`WF!%hQu`seDP}#=lal*DkCNM>!SV0JT#@$*`pV{Le$QDvw->^HeyY@u zH`*-p&{g3VAaxa%QKf(3TnJQg5>Vlf`6@Dv{=>(2HfjEZLH(Hr>o(}5s{LXmC*MXT z78>yrxbsqRRj{|69E6wX~7l#&=!C!KiBwa3p>0c zL`I&N2Zfp-d)((U_Xbm5ys8m_5L(tshRqSMn%9gOUHb1A)1Cx*M$0E&Kinm!Z|%1y zaC1IYlx@^;2+HoJ&WzW_isPhv7H3Kfc0wTyy8H)S4QE)#A+1)ktZ_U_H0nZ}xc-Xy<;=51z3cpL zL^DV$1GtiRptP9}4y<}rcy|Fhs>eOLxJVx0dE9vk&vZGDf9k{1oCeGjFX8$p`1+>* zQJQLw8L6?HI6XzY#YDihden%FkK%?>+Z5TWYD~1S2a29&w{;Nfl)QC!%Dg`jW)-Ei zV17-%8O4ocuDvNeS9-F!UrmLoLW?-x^_^fs0Ydtd*nSL$OmTTNIASMwX63(}P8CUK zceKV^fw2$zyM1?go3g@*!E?2sg^TcAcy|tF!CE-FOrP&!o+sh4{JFy4X}6#T=s+Mr zZcbg(5bJddQ3T1cz?PP831UxdPCFX*la68}X7?kk{C|4|wh)vJOn3xg4lboRR0l^> zV}A+ZLN*gbL;v-+rtE-0M==8w3{I`C1&DTJwNnA5CGlezD#**op3iYF_-Yb};S%(` z`S}N9E6hsy;6&3X;PA7ud4AmgdyN>83PS>D9qIkN0lqZc6&cZA?H3W@Kmx>HBqRh> zzw_gu&_TNZiZx90f%Xu@%KX|%S^*X<>@+LYvI=A(@R?QL(Q>4C7zE{e; z(mI#X3`LMn>J^dIGWe!FELcNKpE?^C896Pml zGX>I1?yKhoq@Tvfrdu=b01lsm&OlZG;RP|linbhQ zpzj_{M33;Hgb;C82!QulLCdOA8fj&M=RrzCUvpVs{AZ!K(b3ypZl~3cuxy|;2+bZ~v;_6l6Ld>hR1Use`lTWYk;K zE$;wQ{6V9ef*r>{^2%c$#ULScd#>?+Tx>a6$qljSyJSGg9@%~$b(slHPjF`3;X2yq z*$BKTY!9CDYE{R6N}LNzSWDwP<~rBazc>6)OX-S#0^()J*NPVxJlAP{s}<$G7QPg{ z#~&eY0%2vsqc-8}ip6!8tcODJe@zAkXH07qwaH*V&RF!w@k40!n>=`ThN%k1 z$K^83RvN6Bow>ROX}tn^FU2xZt_*d8CY>Fx23URBd;VUe4fsKx2m;O2EVObmCcpNq z2s^_Y%#-5!r9H6f;8)72W!M`OM*k%@7eaB&*ySzn$gvBbm7~`04jBRejt9w)c`A0b zzut_&G6^@BkngBL|Lk09#n8XeD1I{xId5*>HC%!K5e&H<-%QMZBidfGr&`9X#{dZ1 zi?YAT;0BmBJ{iOhv3xo8PSWCMVF!W0n|VF46k^y98p{qHY9+~Aa*-htfY!oEGIVhW zrbXl3cN>l`lkt@F2z$)cM($n7I-@3CO{|`TyoUZ-z;S;92)){HFBt~0iM^#rzTWSq z;(c_M+62NcefBr~e-aj^bH&o}SM9z&nND+=Jw)(qddcZW5`8Yan{*;e>Cf5l+sh^J z`)BOFO~{VqQ4)G9@U)+~J$SR49X|hcmv7Oz?*4)=`16c*%5xwn5Cv0+IQ@851nEWE z5P(l~b}+SGHbexIvhvtH$bJ1Hmp|ov?ybMYPX8}J{qK%Jr@44cP?_R3hq!;eyLcO+ zR{Z(@SpY|9UdZ0hmrCi2`o0r}ait!@IU$`KQjOO~V}N~B)}3_b_CpNG5DX?sP@Ait zk@LoCGw@m%cE% zVRj>7-iV?&W4@baONjX~BE|>mp}HG-CMIh85U%~vQ;vn1d_}9)I{v-UzneU_ zV#(jCz7>s&Kz-2l34W{QvTKK7TtwRwtKdbqerRB()Bq|6<47LTThV&l6hbJ^zsz^D zmk_hQRJGlNmq4hbp2x(LuJlI|Az4gk@G3aU_Q3Uy+tnav**=B_0f_xgU>6T{1pwSjJb;`@A5M$Ujhh*XFYofEa#pl%QjIGD@B;Z$w1qHvFa9(o9H}89=F8 zMzUN}lLVe8MKoIY8D|Z8{3D-B)>-uCqW;F)ZcTREGgz5*ZmUTYA~7gZf_?+sP^Z-f z8(9>^ZEvhm)pMNh{P0C5LV(;T48TLF{@kE-tWc^pUH3_;S$68N!Nuc_D#nZI%^*0l zKR>GWNG^Jxd6y#CeG&+8;4Jg0(@rdI#jO|n{2n9)aa9f9OC4s?J)}F3MMsg`svT^Z z#5gR_>v0t&(!VCv z=4f7bPbZkN*6*|r!FgXp4|7X2Wu>}WO@atO#Y1!jHUFdH7V+d`e7!5){<}lSTI;b4 zQ1iGEB8K+P3A(_+k*W~o#BO!3=R+%v(Y$Aedgo~!6t|`+VOa4R!yxpS$hi>)SPxzB zdqk4yInMMQ={u3A@m6e5JTzff#2Zme9@N#$sn(IO0sDb2!}0s7?E#k`!#8x1^|6Ok z9H#=-P8kbNsH<|z{f}MWi&}b(BQEPXmcn~{0nAlAQm2ccW>PEN^rvN+so$6zLxP|B zz8x_GGWB?m*1NwtSG|gY-xQ&S{LZV_KZ5QVeLyvlUKIX4WDm`=* zb|0Y`%eKZ+mOHBEs&L=;5ywhT8=ATnPx8LZq(2vN+7a4-A0~o!a8gm=w=M0JKnJf% zR@T?`sJ#;(GND~23$LTU<0f~!0wS^bcuwf(^15%U=Fi7i6_TlmzZ^1`*PqqAVK{$6 zvP)5fCmXrQufGyNe&S~|+_hD2_#*_!qQosccMSk_+FdZK>a-TUdZW|b3a-mFf!azp zFZYBIW8sZ~3912OkowJpoEejaPRV{Udk=EB+|_P(RT(fQuW4vFTQjVR z$hdyNyCG7)mjiM;q)D}FxELTYrI3j7P|_q)RgP|;AjmOWHCb2bT}$*<0u;kmez=QY zHFuw|WJPRNbu;?E$FoElW-%$#C&o4vKdSmhl8^VglhTdk2e_#akG{Ou9jAj{L}VYo zZIeU6QvN3493L0R;r0A0|M)T8my?TKe%-@Bf<%4b`&u<2dkfr(_Ie|x+`Kc#3bvmx zx%#ylBUPWQen&$Xl4w) zq2BkI%FL2pD+KVe;x_ANYA`!gKGLnSrgqOOE+oIpg!`U_@^*d+g0_3;ZKw7<7y!y- z(xc8F<*o}hmr2w}M^0j60aU+X*Cpo5w1~N;7`S5ZH`hqprSO{du;gvL3AXo~CKl&KWMq8YAQHF7Gw#2?x zk0f4_y{^MSfh31!Vu=+$-b73=A#!UVJidfz1C8&z*Sr?}C|0xJn&=^pIE!f{sLOd^ zy;SP8>t?*zR$`_Fi26DNmyp2UUH;2FuUw!`rysr18Ab3tq^y|BE9pc&s}oLPm|5;F zl+WH(QbJE+g$}2)-YeZV2?b#$=4r_3wD@u-3PiFpdB<90O-;<&)D7)R+|T5n>lNGW z?qEIhak*?htx36KbTr_oXE(U?FlM48nPRT??whT>jAj8FQAUc}tK1UTq}uC#0f#oI zrv)00u~=wgI|>N834P1%>A?z;_`CQU0?Zw8((xmhDi2F*4AAu)d*7vp4#@TYLsenZ zMdP3g^Gpf$p{_tN1zu~CpX#ue9*{fb^8`Cd%c6PgpZKbGZn9q#FH5@tX@efQOEnAA z#tYmd*KgPLyu)wMuq?5z9^SYL|(7Dk#suOTa5uA6@OI`SbLQl zGUlzE;;A{^sdU6_^kU;pT~$)tys>j7G8AE+C9~dS=}w+Rkti}TV>UqUgQVmhb{JI_ zxvzBv&pj3_5*;ET)@LpW5iZS7EYVQr-z&5LMIS}hnNEb6@Biq;`h*ESVT$7s-7?wu z^uWQ5VTM<2m65Dgt$<_Rk*ep0?>DCW=F*!hCShS@@bFjb=V$jHgnz$3HiMwyQA+{Zf*2BER{QgFR)I~RbA4CYo9wEVXY`_9OkiU|%M|P$xc8ptEjJs6 zI@Z%ISdfWnwBqOL+}fw z7fw1yxF^(qRA|0c-QfiZuS3*M)TH#!{38ZMw0;U-XC)h|k+q&rc|8r|DNZX(rF7JY zgmyQ7#e-DWj~4`wlF$65J7Qn;UB!<$XWR68np>xfI=5i=%NG1Cd7k#E4spZCTkV0# zf45?WEA+)?4Vo(XCBL@#q5Uu&Fz%|Hs3ZY?!yb7h+wz3Z-?@7{!@eAs~P4H+!*xFW@#*w!!>-` z>xZu&8f`Q9avpgm3tqZ!vYQTdC3q(Nxo?fTf~Cq+kgfjVY}2HUz9m4)x$u4mDXNJP zdNf3Yfu8oeW0#h;R>q7O1=2}e6P}>q6BVxWHhk;93S@Um`?TJ^N zJ|%-L1U6jGm;{PBy}#K%R0NL_+CkGDE_%L-Ug2EdCtae{TZ}z)YA;_Bxa+4q{#!({ z0TdjEWMkO?7GA@^?M!yHFUectKMQMVICDhxu{+^+d`_^?XCF@niZ z*7r}WoUP(JZ)f6@>T>N7KzgX|o^b(;WK_PxkAMtc%IWqQ#3 zpSATW^7{s~L;D)#K!m;oex)NK1 zY8M##JO$|#rdPK=af4j~^`|`qe~C?yPM1~#P%R7PDKdv5NoVV%GeVt*JSr0|;gX6h z-n>oTJB*<$#D1*G?xdO-7k97 zDxujXK6L%S){AHaw;8fR>t*-AqExgM`dO<$IYeG&m-TD@l0cxE{HcCUE?3>+LsWMs zgN8J810xZhrLw)fJxKkAB8`qq{$mQ5oto8@S@%-Gq#Xr%IA4DxkOJv=L~a-W2o${- zOU5R?;R$KK+?=d3(n=KKWL1FIA2mwmCCk!w_48r;yBss#J;P|ABEo1Jh1d@Ki8iP( z#CyW4`J(OVVf^!=u1dPl?hdP5z8Hqg#Z}d8lhYXP-^vMhj6-#=smW_%Z{0T4R;5ua z*qFV3n9mn+O zQ`ciBTCN~q6`F7tMkmmnQSXuF5}chrv>vJDhxLsJ#6Y>2S~__{ZG?B&>Dm~7_3G+! zO&`jg{h6Cv6C$_RzCOjSH@4lqk3ZfYIGCYS$&I->@08BRhe`YhlEXRVOYFANt^~}> z3PQ&5_;Wf(6Xn*^Pa41j$Z9VQcsgBBYmoP1{@z4sCE&nGx7sbOwHmkZrYZjxEc) zO^>I24LH{f(I*Gb`4tVX?p+LlJ64P{d6zpPd@cH;$ZlY;WT~Uo1>BL-fX@O^S!{`` z{Ca$2V03dTOvXa7sGjxTzsSwm;7U78UgE_BPJ1Sbcrs&isI>Q#$loV9PObltlNj^+ zBF}i^Td41rL}kxo^KtI|qFT||RUeQ=C1L_*vorR<5yKfMcJb`_of$p@H3ar8#cvBz z*VT2SWp1j)|3w1RO18dgGc5qn7zEVOI9h<74UE^XJf0}Pi$@K9?1nPqSc*LVjR~Ar z*I_=3)$0Xh0D4FkX@8vB382$CLoQZtCmA_;xfSP9V7H(D%8GTTuRtOarD?^QF)ftv z-K7{;Me7H*{3vb|4F02!Xbxb7_-j4v)&u9Z2i^N`;2!xR{N~GFI*}s~p9# zR<$FmYndfcTH468_x>X0HLJNNNOS&!MX3U=Ws)mGBk$7YN_PKVbOhEbxVe_X6o54U z$Tbvl4wmY_N>v|C0u-e)qj+byfMzs_5s}QpP-j1UM%%LiX<{{rTl**3iSg@I932%{ zaR^TX(mcwE{i{(2s(w?h<*TJ19o2DDZ9C09&5;zW@;Q6Q!qa0@Bk<&XM>2A9*Zv@s z1H2}<(llCp(XRejb;e*j#fy_%UbQ0dAg}x5#9puWU-{<&?T2=;+0?G4rnI*?(3GUC z9|mP63aNQ!p~A02RGLY?>&whEWC_a(9M+BLdd{Iw^neSgs(G2hA#63s&r0 z;-wQxMKk*8KS`yhp%(CAu9h?l+TR1~+&bM&-J$k%GqOqR8WHr^uB@fi&3|YVrgU_0 zl&xh(PxNnlrD1!JPnw>_kD|m?!+jf?v(8k1SeT!S}wW*;%MjIuo0hOVgS@)u2GG4dEc8IDlpmXpB2w8?_7nRr2w<*yj~x;!$he)B%)e zqR+DVD0=(-|DkE&5e0Kh!Gx{5mz&JQs4etXqe|*2AAFB@+9s#_FA*ZgR4ZOHfS*2Q zkEyuj130xY{xvKO0ZMT!mFKz_Jp{OD*Y9=Pdmg5W5qGm7R3G>%;f1rE*P|W)P?|FQ z+V=k0x`G}zLEUP}vX@Dcvdxq|Gi30muc<}*@$S`@CGi)#Lop$TLBZJP*tCrD)5@@f+WMwY>Y8 z;FLcUS=I2NK&`#CVH>=t5!lqfuE}daE8UsV^<SUhvsT)k+ta%q$!=U$lq>cQg@? zUIkER*!vOE>e?O^Z4oS^T5 z)9fMB>I{&NrO4b&o#&5 zd2yah!4pq(5R~dVt!8uCJ#32&aTIdS-e|tmiEh(F${ca^wRqKT8T<-CY94O;DYa-F z-&XMD?rYmd_hF?hPqrRMc8j*9+#g#?X_7U+pQUuxdS^bM@s!!tKH>MG#0ov|dYlW? zz8>Q(_Y0GZcB^SL)(s71ZU0JN%F_C1`REkG4`H}$Z(w!4WYMInXcOtO(Q3%hwvS?U zc{3eEt98NGrnfq@glgzsxV7%55C{}62bOZ|8Vf!RAbhXj^Xriq}Ry||x)@RIztFQJ}E}L0*v(mMJcco2x1kS%_ zgw2=D;=fXHIG!=#U{{|uKj>h*_x`KXh2Civ!5oO!@2OeISRLN|<1YDw2u~zIb6Pvh zWWW1&2MQ2{yUHX z(wx}CvNw4Mx4Wn=Co%7_@^lj@YcgJ+ddZr?xZTotm3yH+d`meq7?8QNd?g!LPe)B@ zMC)k7peDj+G2s+%*#6Ye9W7jxfI(ex@x8$J*;@Mq`g(eCfsstuB!6t&<}zg44Po*0N!Z?vu zOc$fSscYAI>RaAj{fH>AL47{2BSQyKpf01D7p?eBpRtL937$=^t6#B6LUb5lT$=V9 zTl}9HMvcE?n_QzJT)swH7iYS2><&h80tCytX>y$IgZo8j7@Uzw&G-sSOQTxo(`6** zBpdi6A?#TX=~|Z@pJqj6)5fUok8?MK1O@%nYplN{pg!b-ze8l4JnOCry;U0Z0OZ_b zzcLp0nQhFo2}#8&m7sf3Rf?tb{a%2Lfn9|&%j+rpmgQO=?+~kD#B=@%21}Y8On`z+D#iu%um5E(flr>q$$DO z@#wKcz)nO2wtL^SVQnL(X9e_GA|g^;q|%&W%trHLek1cJv4J&>0XNNK28o)%z)dq6 zbxM87&^%G!HJuQIU_i7r5YzOa^)NdE{MEkTYUH`SMc)V6dB0^B-3^XJM=e`74&|L^ zXt$;BN)j1ry#&EOsU+M0ql!Lzz7m-oJr3`K`;Q-V%K5(W#((w^((jTq^w~A9jJEa% z9+ufghU2Kl|9I2VZsU2v*#DyTBi1S=J4}L z2mJufK6yH*^NH1EG4qEEJKOcYL^*R1CQa8s-SMYr=s>Jlf%~;Z$7IBc=V9hVflLC) z@-5NclnuAsFzAy-yrb>r;6YOKSe6aFwp~wht9Q*jax6^3C2bD7Kf~8@*0yB|TWuaR}M~5&fWf#PUSrq^T@_7A~LAq6lgE zIZ4LrEGM@9A2Go=kUO!4T#t*4m*`2Q0in#k3T~ekEdb#;aVP@yyoEGanRA>>wC!r@ z-}WNTzUMq6pnxPO3NjEVt+Un=&TcI&OG9?^yZO!=X2%zF?933*$=3WaA}r9M>IS}U zE`PA3q%)NSuf<(}8EM}G>8?=L=XVdGz%)PR&Q2ll!TAMbri%1f zb*~6U=-90YQ6O{-cGyS`Re(-(Od~I!#HGR0Z{~J}*8bPQJ?2iU<`LbZF$=za*?L9e zT63@|jjW`%rfZ@%-RLVLaiVj|^8mnoAU-9fI5XAZaR8ls(VSzv`QB*KSHQwm4nMC2 z);qj}g4>tGG+S)9tVr9&cJk`~SL>E#Sh*4CY0JdXIREEe;mu`1f|sa;=a%2!Nj_R- zi(Ul%AQk%YEt1S&e$THKt#JHfM-L}V>`MN{<_SH1;{DRA-L8$gFXUIx{bvgAnL2nl zEhb}SXNvv-Qqb`o#y65Ks`aGblS1!S$odKn$#zr1YL2D=%aTjUl|OSVdSweL_0aT|A5UH%JC<6`RN&>D&>r=DH*lI*1940tS&w8 z5mS$6`H+`CTy;|L1&E(8Z11cNMiK?xjdK82xP!Ve7ES;HoY8gNMtdC++UY#`HEczT z8N1swN3_+3>&j&!yOQ--YGmb5)hS_`h^~31pO6+hv zE&I1pjbRq*9`NB)+y=3HVQDtZ(o`0(12KzBRbxQne-_DW*|IaLZ1|>dz*8XN??bnG zV;QE2!%r~qJsJ%j#1KYt{Tk@0RNU8`q&R_An^p;B&&q>}E_61JzM98-0X(D8P|M{4 z55a5YaF_qX%0fT(mGB-2sRMLe;Iev=`yZZ`iMN7D<7*&2WCrLZnE;h(rlV7!PqF(^ zi5^sJSlgSVp~rAzv^N|@Vek-!Zmbg^&X7pAgxDfYrTuYORa)sererr?3gJRrw1b>u zWmCW*9Xnn+OVq9wsEmCajcWk?r{F=+nXyXm+mDWo3>`xi?!ixI?+5A--SoNnAyJC2 zjg4AjVJ?&;uY9GyJL?|CcV;dtg>Z_-OUE)?Cat1@XqtYU&=qc!MD`#6U-4WHT3dzEYgQ?^D zeUJLcJ=GEn5hArnNM9hp-s;swZ1$QQ>}`S-Ynx&8KA`)K@}qr5fbiOd#Fwu_HPBYB z^Ca(SRA@P86h2u`*-dt!^H4thCjX5Wl%#m~@C zxFv^ymjvC<7!Hyc672Y?4T%oUKWEbDSqc-NRZaFiOQEKu_li=Ig0!F;(^@TrA%Ex~ zT3;=!B*(P4^q*yxmACqx=>EJV&WihC@Xz%gHCldo3!?wcW3B8u`sMT~|)q|M*NdYyD zIw^r(s_o`gm)0Mw5c1xrtN4&7HWq;?)$1pW#pyS06#MLaS4AS37wGZ}Mo($@F7%Bu z2N(50T;iK;iL$6NyCxeuk%IUDnND6{U|vbL0aLBS-`4@`-Kjv*_q91o?Uc!y#t!sL z#KsXxd5+Mh@r$!n@5hUabH*Q!Z_cQj-k0aAnQ57s>&weL?ZiDZo7?VSj^=G$>QJ4`V!Z`R9Q5KA0 z-I=?~&FuaAJm^dJpR0dpsbuJOe+b<#EIO(coD=;M5k)c?7w~q!YdhEL)QtyAuGC8A zR-`u#O}Q2032H%%<1@l1Pzp{)6Gj1BWRqb`L*2j zQa=aN8veJYahW5Uq$-qg$mHWXvF5TUoG(Hzva=xP*k?GRq zBavKWshsCuHIVy>YzeRF%TWWO)M*AP>Eeo-SCmN)sw2$L)eVYi>?V>#s--v9nKSVx zNa70&f7*>aPZRTm7af==hUmjy4_zX^PeWhSQTR%aA%96-S{?;SE4P0f&(O>vN}gu# z9u5C($SsNa2;njAsg0R=Tq-97ZMAqin>Jn+LgMV3dxI2wT%mMc40dV#4^rPfrk(a$ z`lZ$uRW`NA(jPuF3sOl&B1MIW+vh)3KOGbxH$wd}WN;d~vs}*#9o}_RJcAt8C|+iH zy3@(p$R5T~7-NNCvz$coJa>fwr3+bb+XmU(bVU=Y+-3;0$VXpSzmM7+0@m zY;>zL)*droRY@q^x#C!&@F>5f_p7ielmbIarU>0=&1$=FqS{T#3JME(JgT)ey0R}Y zvGqmV6{$?1Cf5@?7hzmaXz*#nP%i#GSl}2NBOHpCtZmJ(&}a{(s(Cs|>^2#a(3&dj zP2;-E5fyMrv)Yz_KSV)?+#rCrNSCP|N9|o9IB?zrwLH?47R1JzP3Qo@$ubfYL9ahj zaagsyNzjIe&T-dAHWpU?dgeP?jJ2P(EB1iMfmIYCBfZptfuqVWDpwkcnQyBV*Yy*E zFt;_PoU2X|S9(=tHA7_gq|L*B_pA)~Nf(o0_*e)4z>=p> z-=u)acpi$*bSnH19UbzX?J(O7NxgrSt?tg=%WnDN8I4~j! zIg45xav|aFP^Rg=0MmErt=i~_?#pfj7dC~P|K^)6`EQ}yQq!8$(`pk`RW2rO{qJb$ zdh)J|b)b2mQ=#rTwsGxHWUZO;5hoGx=VD6fBPGdSW;=Y=|-xix737DcCC8A0fXAsXY)PpiA zy(<68Rdz0DTMO~e6bOv?3iaPGGELdp?sD-5M`H)`j%RYxJ?3fF_ABIlAygib+`tY9 z9WFS|+k|^#y+et%l%kIpp>&DTFE8(PtvGV;eq(-&i)D1iWtw4}28P^fPdG{tfgUB# zDMBG_ySd_+74OSVLic#`3u4}Ud#H>d@Xxx7_C)(H>UyKMQ9=6Qht_vlk=h{221{XR z6l+jY#~w(BiQ`n3(39^;Hs!*5m%4YPD{Suv=s#(gjV|H0|FmVl!=>KiZ%6p=pc`Jk zy8p)F?+Wo2o(Hbg$|g{Vma}}dtId1RXq8^>nh%Xw1${-U!RdQI8_d}RK|8fwqCU^_ zcP=V-dOudR3)Oe<5w($@AH;J3aWB-w#+-v;EJK<1Y7=yI)`j)f(Is$RuLG6-B@dQg zlzTo6U|FKBZ>Wy`*Aav+Pae-lxdt)BOb9Anv2Wij0}iWvriVT`8=jAL!A(3yefK9a zbuPRgUh`$h@6TsbhHl?;cMGhZoktl!DpbTC|HZ00%Kv_D$j`YGF@yk*X$myJ8|G+z z+B_ZYg1rWDfWBdVJ392fJEEvQ{ZYsPcb}bsmT^=&t0+*aoG)2Q?9dVy6Sg>C4ByWT z>}uO@s|0}qyqEJ&2ItA&_k8;-SG7Sh?u!W4B;}FM(C2Q0;+z861@#l_zw z&kAf1W}5ND5SG}exm+YT`X~ZJ&MAnpyU4;9rqy$F!=z}DFHI6Q4zbA`-(MD&;c0CT z*csf1X0P6L3R4ij+Hx9v;l6D>ysk0@a9IfCG0(8`qSf>28l6@c?s`PcuGP1KXF%$F zYCcr&DE=3L<)X6m@EPC1(M*AV*`5h9V|@1~!nMUj)+1=RG_=8-8@ z?T380hu8)>YqdG(oi?cnZe3dQYL#VV;1jDbck;o*W){1c0uar}^0|@GlkCq26o9lT zTZI2Z(^*DE_5EG^M}r7Rcb9Z`D@Zp;gLFuD2qPdM-QC^YAt~M6-Q6`X%ya#(^}Lza zcddKRnRE7c@6V3GoLl63XNr1--VWUsOgtd}1#Rh6e&Brjum%oM^!E!7yy$*%Kdo%u zxu)8h7eO{)cxE$As+UF52lYwvoYw2;bHe~Fj<_9zWbL<0MTVw$XI~K89&)|13fhft zQi8tyfVf4O;%$GEfjYS|y)oe6nSBAAbdf7AW?#pG$fm^DT7G)woTk2LxAn^sG^9j% zFc=;Y&IJ?x6riY-R)FkM7I(WSD0$>@9R8|6X`lJOsPCEB7(6!V zKhP0_1D|F7o1pt<;t7cJ`(3sa7O4L^o~Q|}Ra3yLPc-(2wSeP z1OCoO$uiieTVd-op`uNb)6u2A0RyXYgkXZ$uAV@oa%?4j3A={rFR^E5bEWaRz%A(+ z1I6kP`+kgTG6rtC^&}~szBK!A^6-Y#dx-M&+WoULfdW>I2F9z&w`HDCnt}uXeqnRj z@q#XdWD+0;tNpH6LSbilYYsZAEb@6;<6|)t3Hm6u^`9u`%t7g{V&#)Vv81BrAOmLx zH!HCVA$?>V=qkH^5aHm;s7oqO92)j|EA*GTI<^boR3zI&=#u2G+8gF}$@V8HxI2`N zQ8M%9xMvvn->vigR`P%C6A)Y!=Qn#rdcH;BWW|0i_D@rOD6@`l0v+L!^ss`}KJ*A& z{o0L=uGF#`l)S&2RlYSrA~ENM9%i>1a%@Kip@-hT!#4BWA9ZC=K&uk*zEf#v#|G8# zU**8f&oM;nY7XTEP)$Y7buo#y7$uUpHwX729n*G?2>-gWMDH5-kMdnw$Vct_?xrQc zr~bi|cEzpqMjEY;t*Ji(`#jSFu}OQ$5A~E-H#2hxuby_e1ytiWx|Xt&tpq3LKg7qT$tgeZ1s99UtSP>0@^c3(we64bf$GjKb1BG`S;YgC<$Nx zs`Hjy75E;TS&xSw=&m&9KGAA+7z2>RQ4d@~u9E|yc?%bRnpPYGf4QTd_4XfyIj7;(t2ccB35i zqOxfKF-cMK$p~JILvxbP7>BbP+7YcA-e|Rsh^~+FKv~{R=hY4>O`)UVgu}K11yn;B zjhz*6#p7lr>WA-D?^S{%OCXwX|D`_zo!Bg7yC1R*UizXyA25E-89oJ<)A+qeZ#)9; zx$b3otnGc<8xMNgM#co z9>MW$yq~IOTp`>#E=pB}Knuz>h4|`kx{2f5^0&5camHvmWH;|^aZafOnokPv)e*>{ z+y_ss&FMy5y^g@Y3&5 z2;noYeaqv9&wOqOdM(p{`?7g5kZdlT#UAwD;70jxacWY@hD6S_-i3;BGb;aWcim&7 zHngTJHL6-e=%OV*GTbL{xSyDABgfEdANPJx>_S0^>`%F03M8M1(+pWzzduMlVS*Q# zk$|p(nEUQ%IxthJ|f1L;m{&Q;G-?*VulmpaeDm4PG?j`1KW!n9p4JKz> zoxU#*8<3(qd_=Q#wwNwvxUVNW`A7d|>*MLn$H;wo`DSxohuOtSqW3tB5OkrBXJ2sn z)&R55$p>f0H@2^o*zGq93|3H+Bk;mR0D|^CYABC@l;RUk1PlJcKB^rg$@ z$3vBiaf6bJM|F;>LwmBGFWN6XJrV%}y!K;;hiEj1yG)5sj+XV1M4RQJ)qn-wsTfoR zlV>`^62y3eQ|*SBP$!y4YExJ&mmj?}!2v$P06oD81p9Wk>ymp9<(^3re7kR*rM+QE z#t1I3)_I)TV*)ch*SCeB;8ig;u5PW*?HII|0Ua;wp!N71an%PcSaw>SZysCJ+WCIS zdXR1y%Q-7>5RI17yB2mUdR`r_l)AqKaFguQr zBM1Z3s8bv~l2a8Gk+0{uM+8TbF17o%2YtcsHKBedr5_GbqBT+qcB@keI2944#a@la z0-^_>d``#tGH*^-mK!#UY@3bWaF2<(tRU2{lL24GEO~Dbu{z=@HC5FH%?;09FmxTI zC>;jP^~g08y;j8Vl$rjN-oJikGFLCBAr3Fhd8LF(ft5Y#flkZluU7_E!A-+3Z+P1a zAeOM#VpK~%tb>+3K078&84%VC zl8vV;l!_OGPKrVGDe_~E^Ydd+`4lp=#r0d+L2s|UihS!DN3+e*EZ9#{!_0;! zdR3x7tvzVu*;dFEVV}*aQ@*aGR-f6{^dJToCBb@T&wE|Oh^(B4?h|lNtJ>fmvpuRk zjcGlsGA7qu?;IbE!B*PrKZNkgkkh9wT7mAaE5((95YiG@gl~qZBc(fXOTND1LqgnP zGMsvWk|bU2q!l=$X0{=8xm z)!~DkMiqD`FY5h=r0rilQHRKEv(p*jv`C3olV#Zv*^;2`Y`olF)zA6iD+^HVcFAdjdf4r*(Nyr z=Phi#-z_f~ArqEE*;qP#~CDF0vlbo+h zS`01o)OK&UkRfI|q05I(-dhPI(jk6hF3Wk)muu|(IPjov<>!Sb4txtci_{QWolm6Q z8@35v+7WtT2gcYhp~s=GB09$<+YvltEsV8vy*gFyf4BWe8N9ow$e*G5a zIwqeHb#b2u%4=*Oi&6Z{2t-P$E#mTR9 z!Z^nQ4q5^9@Q5(|Bzb&Xa)DjS|N2#_7)|-@)9nyBspH)LrrR~8+G(>1XOH>QE2uxE zW(X>p_j~+&-)FUFS;fa{>b_rJ_ic-gMT~@swPh=y7qB);xqTBA|5ZiR-QD_pkdALv z=%nVFy4M%Nsk>ZZ9z3F4zJS`$P9daj92e=1wr9D5*EQAZf}cK-6n&$R;rW@aK?64L zbm%I<5ezTbG_rv7lwGJElJz&XElPS3fM;`)hvHqOM=9JeD9twjY(zTc-~h`IG?5A$ za0&cS`Agi{iVjYeZa*4PgM98f)%iPDNzF=?qF!~Tw^etAdo-OWZ1**5X?tZ^l7sDn z=~`3iB#^F1_G-wV9R2(F%{SfVwi+0fL5IQ!I_t{Z^nY z3oi51ei13jyRQ6xOvkApCBWiTq0}QyJWkI7`Y4YIna0dbomNLzaf1Af_w}cZ3Q)t> zIl! zD@zN=`pD^pb;xKX#_W|Am3U@(j3tQlM&HbS5A7Z!YhDo9Xm$rUPy^DN<(_cGotQ3N z!&|?w?e5Z88zkt^xN*G0*O(Mg08ZA1Pc*j)N7U<`!e`l@hmdV8lA+JQ!Q60n>T7%J z61OQ%0zE{V16}M!sUCH8EF8zsr?GLYPw+uP?hiqPPLn%tj1`0H`ASZ>Z)xV^g(9)c z6F;lVW{!Cy9cooZX9<}gQ}hEBSa|>>>(t_lIN&xu^}z4A7b^{K3NwSr2_;@?Y=i1% z;mK{S%5yb{pq~Mfpv8}zQ?XKz9LWR;jI>1Y=?UzyIfG02q67bj>TqvkL_H2&^jt0yo}B7GY~z$+HAK?*<$TLs26n1nX|&5)YmB4xb2 z;;2$e9A|+DDD1rpR>!$C*35a0gI<{v!-ah~)%< zKM4?mm%P?~eahBf_ozH4E7vxkpU?8SNM(3l`ZEO?eb)j=(KV>Yss0J9JVLct zKT%ewgt-BZOq47}hC(lQ!s9g@mVsDJYZ4IV?+(!{g?8MH0DWftb{^0B$sX*3UHdou z_vB)hriD0}0pLm9VhyI!A^589&6Pksvb8}J*Nk_g#wL2U>P|Q`dS`1LwzWA9z+V`@ zd2~D-DnzToM}?6|Cd#*^Zio&<5} zLakGD-|WbN%EE&+B4duCrRCIrfx67_6Gdxks&(Kg+sz#{@cHr z-US3POztMZgS#jPSaJnF9?0f^XbsOMRn3y; zsgMm@!CTCR`pJ+y#PvsFvi>=aMuPm`;~9ReUz5i}4kHurAb6(|W$7Z1L+)g})y`oV zr{6oCA?z%i7PY8VjQ5IjZ^Y(sp>Z6jb`%oQlK5;7i5%gzVr$o0EF{T=Q0y1_v6qD> zeP);8d&jSiy3`o>h-pr8+dF$^WA`M}Z@u@>E?@$N3a5wH#(5JJpaeNQ`REBxq8|7h z2jcO-(J$E>uk=~t`y3C~3&a1eZMVxC_2sb%CFDG0Q7l*gy4hyCN1|D$Jx(QUE>|HK6=LGx?{bC~~mweqMn zX&4v36LjHoZsafw)#lVtc*=NL+7L6&{s2{=Uu`Nw(y-uEZ!Dpkh|hyY`7}_j4Xe-f#zhs# zBCcCY5Tgfw2O}F`4HvLOXcW)P{5>LdkYD5*sdJ|%*Se6 zK3|^7QV%Jgq!6YtjNhbbWJwDdn5&>R;*FweHi0Dfm}ewQb5qjwmXlRq)Q)}Bp|4a1 zJPExM3ZfER7ovK_4Ny2Kv}yNa({;!>ZQ3HGqZj!pj< zA2`=~4_i3MV#cL)WGd)-lyhhdlZt6=t7YWk_Ia$Y*8+W{`tr`9MP=pf&}*sdZ9ZIi znFhV&E?}@f$G4u{A=ViAwHnzzMbrFB7#KF+714U6FHiK-5$3Z8eH0)2L}?9&7@_C6 z@hi;fwjdq%oPYf%!jU}8|FZxzf@Nno%RuqhAO|jsT#RBO{y>hpN&H8{QV-?!v) zIPv}L6Hlr90L&`1)>#&j`U~rGR9QUYAB~8LaT>cQxN)$9i)LD$`1w*6>Yeh!gMsi2 z?CbRmQYjTF!Z{8`PvfIR)=)c3(^3E(0bXwCAC8le@~Q|0Y+M1$37~g7fk6<X6jjHysPx;7wpD-Ty%1?AZG7t=;$-D~kNJ0FC5g`54J`vGhoj}N(XP!YJ zh6##0g5_6;)H7r&kEIlMqI05mB8FZA_Kw zTd!wZ> z`>)~?Ue7jH((_i}BjFCFz$x_#Pt^7Aw{n$;87&R=(Vm=`!eb(uVD~!O!=vHgG+3ec zKzSS&(XX}>Gntq2tUB%>H`uyr6|bfT?VIfm{jmHXH%SqEQ&>Jc(~(|6dAHD4RU<_x zW!T42VE?L6Dgm~TbvLWmq<*`d;1RP=rM5%qG+HbmC+DznVXwM|b^caYB15yc4xJ_O z-s_G((HPWU<&a5#O%54V25y3<l?XZ&GZ5fjZc*DQ_aj$@ zPoK)#g+$e=wc7#KP8hwVt>6J`(G%!Fq9M`l4kx@W*#E?4k<{GSL6;!^PcMpegc*NJ zr1^-=;k+j!dJ+EhH?E^{dEjWl+;oFr3H!J1|0eRUtvepYuEhI)$Qr3}HJQV9HsPtz zHAm2)Cz1kroW|90*zUames91{29?-Wd8ln1~@v2^6sd?Z~|X`I8K5iqiI7(6<*}2+%;TN?{4}l5rTRcez!o+#QSWKh}U# zC+xj65>*Q2cZGl#yXbVR8MZzK3-^h>T=a21iwATDKL>H9b_pMkVe<-Dxe%^_r8glf z->WSHcx54j68cPla8RnaEvl5lVHzv~j&P3*j}MxSiAN+a&vmj9k%=0vy?vo!X2c(M z6bUHwzseW&?FA%rlU1@63fGZH4!04&f~HZRZsi| z=9J*qvuG30dZSL!?$#=RN!R%3kceQedeS7PW5GzuCY5RqAU@ zpq{^bGN&8<5(tR7fd0LV6=&KbX#7sX4?MoTzv@tl#}){N>*QZzx`8^&FjwV8)*!Fj z0~A@F)}&bxlgZx~go=ZTn}CfP!I`z*b^2me^V}<)e_wG5V}RU4D))U9*@7c$+fiPL zSt($PoVna0qPM+1WofD0uZ(`!NWa4z_T=;}c&0n2Rcbv+MSO^u3!GZ3DkNRzs-BOp zC~JXBi$4YkK1H~K4GxnxINfRp&W5a0NcXS;Ft}5Gm{!{g{uy@fJT_fC{P9fdDyh6! zA8WMA@E9cml*KZ2eva4ozGET~(O?Ft6}Mk@`fQ&!Zz}zy)WPdvS~OE3;=%_bmV)lu ztv~bVz*wEEx_Y%tn|RdWxUFXq2u%3IF+65YqFtt=|1MS z>3~DnsICYu3_Wi9dl% z-$!yqf~LMLBB2Xh;;fjCValAcOa`nFESC~A5T|Qgx|?TIvi0bUBi}gy^dCc!qe@_ z8yb+CWOz@U?rNCQJ8zb=I1>=-w1zcur)dY0ui>ITv_`sPdsz;=56XvOYke|l9Ia|E zYh2Kkce~s$08)d_@0i3leJ>5}&$uS*=*2K6D^W{+UIW^knqB?6o{}QZnWIZTT3^eXX?HT?W_0dWhw!dz zDCQ>?ELB?UM)JAG@3|{0g_Qxshm$VX2xXu}xY^TDp%jnD?6wN64@?+21Q_gXwv@_T)Wgh4yI# z<4{Z9r|W)a`xM{R@Pb%rQt0fcC8KrMb!)BFGpj77I89SW{+U{hz7&egKCRlgCx#3E zBMkeW<=%~(6zax$ESA=Bp!xj{#?W}*we_dL@0bGy-Ssbt;u5EuneJ<~`bnEkrf3f7XpQae#kkI$UhzXtGGH>>ijc(+Ie=nwfF}BnZ3j3BCfngYTN)(kn$y8|h zGC0jUG*hm{#>U+lnw&?vq;f$cjlngT>eU8$*{SmIK8s*~cAsI8MD}D^M7YJjLPya# zO0Y3^z2;;pH@8B&ETyO@7P0DAVw}3XbNZAC#OT8C&PsaP&x;oHzuPs+Jtoe-YltU_ zA}s1>IboO)dz>w^IlzZnJ-^V}*4i~)cb~-L{Qeo@M_8=9kzh^e_Hz@7=xdG(MVpYv z#hLk}_@lVi{b~dGGM7W$MQN!B-1_Zi_52RX8KJYGR>M;%T^rJ;ShF`u{b+Y7KEa@j zz?_)xJg%F5w=DF->k~R{#2y2(cd;yRJc-~)Y!+Nx2Tv`s8Ii3n`(b z%(tNADoA1hTL!0j82I=wn-Fe9nYZ}AOFnCWbb5hYmF-25jq_hbJ&+Aj=$g0 ze{TLe&>|tGZ3f-1A&#`CF5(K8!1jz%K}{$0^egb&;QMVrbH2$3`ZH_#X3cro9ew@o zzHbdh-TDYo=-LPbxxc5Y751Z22h$q8nKrZOwiMiA$LuE=C>i|XK+ViD9y~{^7qVCe zN;~JB21$z@ccwIm>PY~G-$_m&`b>LPQZe@|9{|C;u58%}`)B&22VMS6*}vyA)FSVA z>;z}Inxdb{^DM+zIx}xEDX4{yUnfgyU z91QetXE`q)%RI{NE;}I;)E->c<@-O+;o*oWC+oxq;LWw8_d}ae+Bx{Q7C@#da|L;r zfMJJO;rD{r{SmP~N~`*wqLMRk8VBgR+1J!Dk4@bO&_eg3jsI+@fgc#=AqwqWvo#SGeL&7^b*5x z^ndCnMfJ`BV|UospgG%sck#3A$hB^6anXe-V_DqRSPnjD(#yi1x8^86Cp;~+;HDJC zxP?z$y;_~Dm2!FDH>`%`8PM$F|K-{TtYw1&Ne1pZlNtSg2p^3$KAdF3M8U5xa36uB z@a)@;={8nCnQjZRQdV)`=)kGO*|e+d4{iMA)1HC?W6E^&Xe;*tfVE~yiO7}aIqiFu zHR*wq@HX%_TAo#eLFPD9(?byuKd|5>VEqC8NUUT%?P?N_wS}Sg@;D=+Q=%6*6kJwf zZxtYA1~`oXmwZDm=^nr!92M1s*LqF1=Bdh-Z2yZ1SRn0C6@as&%4Ge41cn3d6#Km*!<v0 zvR0E@pYc~5SzIv)GNeu$clGp4)lioWgszfLzzjRrqN5U@cWUB~ z&EjvVgOui;UO^x&@ZXoq@_PilUE0+0@Xxuc%|eN z80YsXAwl&-8Am|F)Uu@8Do}lxHr|KmuFPH(r6=~}`1jt1k*^Cw_7_Fbe{Lspp~KZd zxV%t|dljX13i<3{Y)rA_fb`q|LBHa*6Cmxc5C7Wc@AaY)G zjl+DLSmRoUO|lD(*Pjp|F~F*2sv3yCj#mEdj)Q}YvPX&?^>4%nzRiYKTy&f&ov`Jj zyvw_Pv0ra1WvXropl3$#&072ql%>6bY#RqRl=$_hpLre&p8y=u2%y#MBrg{P_hCt5 zlDFF6K2c*+_J_^=GiD}Q&x5JVzphZT(A95g^CyeGcJTPN5sCQ;PwMFdE|-oKX63f^ zXq&BgEp{}R=RCbK{Dz&s@8>WWMP*DHpM)+ucK5pjg-hTR$o`@n<$s9#A&x5g9yY+} zIVOL@-(!rQhwy;QmQH1-g&jen@Vy&c76AxBA*HS1No^tG@A9PMzbm^SN#fDqXx>w zUH3^kuDNsjrUO?|iA1_lT~rAz-ta;n4_=o?wc;MSMi|SlkiPIAvMRQ}0g(*xAi>|| zT82Jo-i0wks_d+akts^239IH|lJQ4#VxGTAvD8iz7=sq6zMD;`+n4{W+WgKa9e2%V z%W-DnJ=7CYvU=I_=l7cSi;;16vJHO+d2DbD9zc-IOx8Nj#Wy{;=uk++KH7YJ!7fc+ z@MN(DaiI3_-adVc6}X%Db!u%4w?w)lc4~yG_1LMsBt96H*jQ|P^NX)d|0evqUEnvw z&taqF(NPr##{TE6L=$~C_W2r~858Vb11w7-4SC}cUfSRnz;rP0x}um4z#I;A0iX+C zTh`1YCPCo5P_V52Ioz(ILCmhSvdI7*6t}8g7?l z5EBGsbzykmr$oM%?B0DQ=RMWnU=at;lUyDTq)SX(ci?tWyxg4uIH(6@Kx zfkLiFF)e;hKRDVpzG=#EAdpX0p=cTSHVWR)sfQaC_)--(OiS0TBVHchtUChY%X^Ho zt^fFgtX+lN&$QjSf88n@Qg$0j2H^|pAZ#a=>h8dU)tZh5kyx`e0~QTDGQogtW)1*e z=teRcqW#X~tvQX_Do-1h?bdfc+4P!cwBLsR9otj(}_%SV!GI*dnAljih7CW-BU-Y?U=nczI0?I7cv{Yl<=ZPO)0I_)=7ZxuA6K?9_ zE0+(=S!8S7GufHX3w6UdBZPl^@@noTpK?mqGH}y;cz93g^&PC|3V*-VZCLxt$M>M4 z{x@1_t+C-dq(s&7#so3>K>tE^&0o+OS$RSm>7n4i(LK~XhE52=pc}k{kR|i7z?3w{ zc?MvAjET0zfoK&WPfrI!kKA5;vaDjf{`SI)0P z_M0eNRVSfZw)kR=*Ab{^{G3wiv%_yNu7x2{*&-0g#4}YQsP-881F(^wTTBXunc!y< zi=;=w+Xnpgsv!NjA5e*>$jPX9xnP*=M}FELtQ-X`O~-(S{<}HET?0pNj#^49>b^Rz z^a|S!MvFLg4xqD>o-0T~3$%|dlu_Ub8@uh{}hB}^zO?3s6VG@OOd>^(LfDQd& zXF*Mf`9!Lg=dhpe9M>`ZA>R~jGtUTb&?ExZ`N!Z#(`xGU=g-j`BS_?Bta}w%RuP}> z5bmq>WStm@9#MD;?`WmKMqv_*=~h}jU66B!;{#(C6MtYFENWG;%gOT4KT#_iFh<>N zUHugXg89~JiZ}LIPNdD%QCBXS1C?Zx!@_@-{z(&i&^(qpx#az2;l_R%3+XC5FE=_+4SSWnMs`-?f{&MHe zXTarxs|DWZdV>#tPK%i=E@T+?TnZdn<4b)63)saJ6Mse{F-M61!jzN>bauTs<-0rq(P*)wJlG=$* z=R0*(^CNHh_a1TGaWnWX>1mblMV~DvGD_XvnKKrvJO0JZ$R_i9GA5tGoxRzrQGn># zeY$KcIX3!D#zaI7ni2z$rMTqs>X}0`E8qYOhRq&#((Xn6qxy)mXY44hV3-&SD5*PGoP>i4-k=XV_=sRcBXCJ`N zLA6OAT@Wk-i)-MQ#O+s|UjBwQy18fsN^BQV4-oV6cT+-RpLzbsVzsAi0veWfau7N+ zuX8a824>8m`0(5O69w){EpMiIRXUtUS;GxX7+STZmP0LToRoJI?FEYw><*F=FSq0G z4$Tvq;g&z#z--_LN8~fHWDKw9khKTpLITqQJ|gW0 zg#~s*lL*9-vd0Og|D~(kxX;ECTOA{4j)^~4S3V7TS39bN(r*#`n%tPWxyXB)z@Yv^ zTuXt8*G2Xv9~`1hk#J<>ZM+0r5I!r~T1XHLRF{^#GLa|7?^V8E_L7Ik`r+|<2%yaS zNr-75v%-B-qY|Qt&j`#4Vnw-*&bg<5tQ_9ik@LJM@@V|{Mi6;7`V#sUIseRvWJW`+FG0>Uc%G! zQ>%EK|9fC#!}__V@`8Q1zM!2%H-0V9y(_&6ZGbb* ze!qEA&Y2Ax^OFD)kMU}w62BYmic?UhGNiPU3|w*DM|uh-3X=`WCWLPlMAJOGf5N=G zw84*%C`Hv4YN#Z|7VQ2dtOtziaov3a{ev*#fl!z)v%Pqa*zFmYO?hRLMs?S9n{LPH z&OdZa*jTs(#Zdd+jy&-BMI}USGIZUSo8+W1JT&gd@>qIyI|48iS~^Ol0ku~r=TvUB zFVW1RvV=c4W*IF8k+^Fx2T?j++rII`E+P*rSDD#(j9<@dGlr*@jVqo=X8RN{hlElIwP~%%_F6` zn~&!{57|N8WfueMzfHLT$ER|ps*X=0z@g>!4NwirBl|j7SL|Fjaadx><%|&ls6gH{@*mZ zt;k=jN2EIm1pdTnKWKM;ovgZ74fkG?ChwW>$~em)fQd3no?1d^I0uj-9L|z7#s{h$ zEZ-#41f{Q~U2XKnyhou{kU&zq*%dA~R(l$6ei%1u`W!Ep!)vF7*ic5vFzgR;32v|^ zhx@Y{3rgaNXOqqlWfdHQZKK&n2cS1W}yjsRiDba10J-1<3iCdKW4w^cVUU#8gJTOGqjAX zVU7X}V@D6kIJ#U$rY`@5=eYXJx$=78+Ma<&0t7Fr?TRHJ)n{uN2v_XyS4mT^i>EiY z&BhOTNBkWj&C@2l;fV=wJx^>5zg(Z=b|?3bj2Xs69@qNNg=dQtcQyN#4A96Wyzfs6 z7xY~e=f6kt%-J`b^Jjg>)wWzhG+?Tz#K$1^54M)Q+rZV*&#hS{7ERcOBXoD_V`Tbh ztMNHJbP zqDWF)Ikaqlu>m{`>VLi(8L-S4@(~tgA34HBbd3&1sBXq`?EwSA{D*Z9@*vII(kKTv z%!F2t(yK~p+30fA;`fY~R%l$JdzDQqa)62=JDw$?cfZ-ub)xV{!^|x9DgWwC8Z7fd zT^LSW(|a`udgJQr#bgddL<>vjp)z3MTZKG)xQ0>0yrE4#AqyVdFwFre zm+}Q2AG^lO?6<$eInmA-Qa6`@EG5%h6ZD{r20tKNJn~OSKN!o*2S09pa=TcQjTSpf zF6(~)dHz&-25!Kq$PJ)5>B9g1I8R9+l_I#_*-Ps-#C)m#9aa9TI(9>%_-FML1J;x~ zfWJcZlY}_PpR41+`zKqwg>4N(7@d0}c|B}nk@X?!I`63KSBC&qG+C^wOG>(>hpbP# zF$g@sGyD)h+JtD!u`*wp)I=bteMCMa;~UWRhP@srx{Kz_J7{m0ZvUl?KJP;wXv=l1 zEyO*3D=PRMD*b)EwWY+8*b%I-`%&v{P0 zc5(ll{*nNsF%ynIV{=JJf$=n7pdi|>rsH>hG`jE=gfYnuhsMVx2PMy1)6kk! za;o&_cx6j9ks0k!zjoJS6A#Ix{O&`D~8yI->g5P}^8S*93>c{>~IFI6LhR zNJ1>(ABNnnpFV&4o&`@b?J-f$9?7{T9W~k-sqD(q{>})*)QtpSk!`O z$@K5hCexnowUY%1`$2t{B8*?lHti3WF3*C4(lWmZ2hl+(izBH)%IiNWs!~Wm{cmNw zA?f%i0h{=K1^GF6HtRi-l~0wy@Z@<>f+r>44q?{&mTUpv01CNK#P9fHf++xbtCsoW zW?1;BIrOHDBa)l#$_}jxk9oX-rlPNwU0L|~mpQ5^)~<2@E}DX9$}mE#*u@u5y4G%` zKxo?$)v!esFP|7x68o#8!e1xE@*_CH?{h=?x@rMh+lO1@ z|Hl0jBuFzzH`M}lmXlcwFT^4#W#aljJ0vdJ+)j(=6jD?q$A20@(?}5t-;@hY@tSjX zGda=7?z0&-=DKB&(%$INO1fot6`fN+;h9!j-H3+~JVUCcXwGRNW7SIJ7wNfzNL8&5 zME85x%4(ljv?oPxD|)lxO$CSZX;8Dq*NeH)TYtO0drURIo9xI2sXYzFr7BUH@tY8} zOAnw?%NCP(Zuy@HM@I`kY3p75ZfRjJFXXZ?p}R3c)2e&?-v&w6P(P!+vi=l8-gzjt z)o7qz^0t116yH~v@Toe-p8Yv`DxO4)!z+_p9Ip{?wo7(1%2i@PF=uR11CFKiySEny|LEze+o*G_1(%>FOHjPjA3!FBXXKUzBsiJut1BQ zn~LV=JPD<55D6US=3m*GM8mz0Cd}zW>^w4pmMuYF?`9`EcCTdVEzBoB^4uK7{^)3s zcPR8(;>zH=!G~?dt&R?HA(-i?S_tpC7Hq&O?)@#n$yI0YzaCTY zpF#&Z{jsO|GSCNwcb_``b&Ato%}UxX6-VnfdpIxb;1B4ST5-_1V;Y6y zO>`UoM`=V)VZbDNGLT@B+xk07L`zp zUP$3qxpd(hSKr$-*5#!6X^X<{dw2aJ1XBJgExd;n-o2a{4pcA&=^Y}L5xVozYWtSe>|y56MC0qtU(-h(CSkR4Ky5P zJL0H6VikfWAW}wlnJe_W3mmuR@DpK2^N;hBc7~pRM4N%_`awG_{!t_Whc40FFm#53 zdF!JhNXR={+x?U6PV_jGjQGOl3GIUCd2?kCmn14f_w^4 z#?C?ROMKXePi(+I$41lyPw4iDERraaP~!9;pUV*{DM`H!Jnj5at?4|F+bHCvGo`Fn z2@qqGv_r01pfB2$SE(X(U+VGGX4)2WP3m^708mV!5&^F<469zCR8;NT#c8Akl!ieh zl?G`Tkq&93q#Nn(p~Io1yCtQ&q`OlDq`NzZnfE;ZwcZabzOiPl;XdcSuD$nfx2)VC znP6b|%qa?UG7gtkrD^w&m)5ny}*krMn399ZqApZ^>W^sOkqDMbmA2pTN~AB5hSBE z5*C~J9GZZEE-(^HrYg*YH{IFKHt)0GQ+kIcGp!tY5zf}h z{Cb3B0i1UDDhTYlufl;ZQM}@J_wSc_rDfJ7!$G2t^E}IDF5wWwH@+f}6&9N_|K8l` zS!)uA?1lq-d$r^t!_Y?p36hQ=0t*3WZA>=EfAOv}G2eMjt&54_jdrJO{Re2m@97y% z2XT#wn;grQ*&#@>EBc9YY>=N(F9{{LSxFBH1sYo(#ivAAFUvN7s8e<9`+YRg2AFqj z^NIJ)^@6~dR7oEh`vI$T+ig_yTV(aFf2=o?siQ;L!$YbsUv0|D{h6gp z0KWBjSJl;4%vUz!xDU!yDn@hA*(Rni%@3w32+f3av=ZpikW*H$M8Ps5r5?hP5RBG# zw6#AE^cQ`akx{l*?emd`hO#*32Z>!ay1ZzCu8IGhYLYss%42bha5-FyjCO;z)C~>` zs`c<7^7>QjUGh)kQCe_M_mjM;$D!w@O?K`mJ;KC*Kaf|fZ)^V#>#p{-B)1?(tm1Av zj5bRMnJHM|AmW4<%2W7jrz%}%j3k_YXLj!iBWC%<7`Tj|b-=DLuIRbjV!#AlkdcoS z!XqaQtbd5l31z5M>!fzo5G?67Wj6A`psQ--85B(GGu0Eri1H#xA*}zFv}ATl6_LhX zSrBtv-3!|@Hs*0qDvmdDVx{_g)tH6~Cj^B|6Y1<6PPEy;wT9!?-Bctlc>c>^Z!-(T zaFaa+2lSOfgfWd&BFAm_Ot506P&3F)UoE~Duw&MFX*KNpN0`(dk{qY?j05{s`SS!U zW)`KB?Fn;QR?N=Rj{}q&P3uq12+O=59*LAn!P>`^vI#Duj=FQo+XAT-TeS!i!#_^s zOy7*h;_rgq3&RsIzTGF!Gkkuwl#);r03M{sxt}p}B(mN(1#T-sf4M$hhv-ROYPKCY zQh0~?OCnzUHTa0-xYOs_JAA<`zPb_pGTI})IuZ;ZH`p4I4m)m;<|`#+=JQOM+!oUa z)Ku|LK<(CTYzE}tJ~|dFuZfTAM&}v z(EQuU^+J~)n9E?=o@=nI#Kj7NQ{y>|^5veX_*B%UWuax4kSQ_59PVIrk1585IGg>$ zh=@d`@5g%w@%eo(JddLMH#3;Ue?ogC*yF-QKT%otvPfSJmyUM(k~EE0h)8CPM$DE> z7~zC%&krjAAp5TyCUb5zQ&$3OBDQS36P!HHyD`guChN-kDGffKH0&9;_N{tMckx8v zVYq6DEF)VWHCF@&giPmD%60bS`#Zr1KcynrMWRtUW%pqlf4k2XDC5yls`C7zdsQbg@08$WsBC66SfDUub)Fm9w;?nh!G+ekHBSF+?2$n02@qI+-u|@&xf7u!>8EIC#>Ng{@=(pzV||w2NZl$#-exfKP)lst z`BwNiSrPX;K;m*QfjS{uU{yI2?MIUu;*OYVcanTu*e1k-`LdgmpY2hV#b8B5r$`|f zB!n(A@wy4DPQfe7LT0#=$Blq)gLJlI?Rn-|wy6TL=>1SLk#p6%_^ImLf!2llpmT+@ z#GIQd8T)cb+6`>$hp@le$J+x)O?lR_2yt?!{0&H&&Kq4Rs4F&huDog?ftt(xu@`i2 ziW#$YgXc{R+Hv+e!zo0b`BMgWVJp+ad>P}7!Is&m2bI8HHVFsWXQBO&xhAl!@wPa|`2EvzV&2Zhx?0w`_08wB`4rh^80rpKC7q05Fz+o#`Z z(#|^1;NLHqymlwD6xz08b_H8k>@4Due?YnoXTQnAs?&s7m!{L5t(Q6zDPb?>sIwK( z{`vpcAyY3m)=MM5m2BX88RRgvm8>j4X}g;~*4uh{CRcreNK4vxt;OSp-vwf4wA{6J z=wJr0dcXqroNqvU#`KtjXw&QFxI9AF*VT8uJUQ1seYfctOO?te!7 zLZq5G02y{}lMSkpf&9z5YI37Tb2$WMW)v6H>i+&(+Fd$dGpVk4}M#T7l1;V$<_f016@H?~nw6xDH*n5D6+nTST(c4JUhqGx zk?c&?BiBRQgRIr8q;9aS27_`2@o7RNPnlmBtq3ko6bkkIt+Ol#jN}sIX`;o<7u>Gf z%UDdAxnX#q3DDieCBP+L-wMOTqbQsZ*ur(Ap!R41%<|>oH2x7D%j95xU&5#{n(re8 zZNpj=d(U^Pz8zc~W^|&t(m1gC|t@iqf$MOrk zzDFsFn?5cQlYhdZkh1UX=cn5f=w*ww?xqBjedhR5Yl?}AU*Zr?OsR}66_t?BnuEK_Wby5n?1@{$&QWY#1v4w2r*K32(bH51K@LUeT#>cLUa zMUo62rhU{>5d{xD-T#yZ8#1RQhLgxXfbEpKOLv52g7SK@Pt@^0T z36L5F*A+)6?9!&G+iX&i)~Cq9Xwvm`CCx2Tl#kfEuS>B2QadM_qVKIUrbfa43lu*9=+y>hFi81pBg0u^=gy-R#ww#f(k6@gIwde@H@qVShlW+zlLGW^P| zQXQAre+AW;6QIjy6T)@uBWfUI-+1_7oMw)K=dTSN(9N5rbMjjc6mP&^1C-_HcRRhy zG?bJ&jz#iy4ClT|=$`!CUr!ptv1uLnh;q`-+GwhlUGdS6#eH6J6D=e`mXijB6xDCO4X)`I~oZ?UxlZPOmaw=}N0Venq!y%&wU76l;3eWz}^J}wpVI8fuYkF15L3Qf!G zEQxF~;8mVj8#H~@1=;60G_wL*_)KeXUccK+&O9*qEhH$jxat0Zzdsmy?tZ=J_;j_& zubERBJg#W^>J?j=5|=dA@|baM%il4Ud+MT^)ye)FLkFA94Gy*Fi(1FBU;;Q)2ncl@ z7twu<<{AXOzA==gDJ)-r+TOsjG1D02j1k>VD%A=*jW z9ZSD-)cnGmoWw*LQSWN_>-KyX*hVN?KL}}umaK2_wfF7L%KfML{OUV=cg*?BJwy4% zfZZHDfmX7rhcffQSLo@G?E;Btv7|>+wCi4hX5_9?%=@6JzO`+LUSj9u>XS0 zNAA9@WRNZI-nMIE_ofVur2HD7+FxL{zdgk^Wm`*!F~ND8VF$Xs4*ue!fyr^OYK=fe zDO`E-70u!Ps<*&yMtz4dAct&&@X_&k;kpU9JQ80IItFxc5h^6q8EL#MATGB9@`Ya- zHo_<`xsbK}768~t3F~;Xu1goT_(kqqIIh6BQ4qGw2s{w*M<2b>ZYjgOiaQfQ)gpX( z9&L!JVrKPV9<55R@2|9v)#i{RwynLygn|FFx&llU)(lg^Ki2pz_LF?XC0F&RQ>4Ga zhuGDxF;r7325YwCZdGCY4HMoA`Y4Z(pKWXs_*aAF8!^2inY_|b0`if)u!G{9%G+fE z{40V>RpAFgYfd>>FKX&~&92A5%J~4aAR<>C|L2w&DMl7|Ak~RJ%hwCi&hywesq1)HUSGHSrhD$2YS-FLC9x7l?z{h8caQ zacjvGW~8KS0q7q##HojCkY>~!|GWkH@dZQ&a}-h<_ls~FiQq(MH>bXDH-Mfa&OhI@ zv>M0KDyo@_WFpi1`{Cb&%mAuAb9)?K7Ser-P5dQH#zVyyUR= z-CbrYZ?WZxUR-N2VXA=dr>F)hw^wv~Ieq zaH}5=#uD@QPJ(RQOs$9d2Ij5I2J5)9znqc(aJWEgJS@wlM3T%Pel1)9RNlMw<3 zelyzA_hvKJes;Uj{0lKW>_tG}|C7lwy1lN;P#xT58@khpi65ndK|nL+u95TG&l45P zqlSazYl~?Tr&W~RNJolO)Yl*UbzC^Y>`Z!&p?LISz>+1PNM=}R@{cNKH6l3XWojLs z+#y&GJ6}TShw%X6Nf~Z;C(q^^}H1U#Q>={9OU33Dmpw)tSEeH|sM} zI=H>f2`w0E=%qEV#&>Zq%!3Gh=$JLSC-qFf&wx23Tw*d^h6K7WPSSwh^Q-JL*iV?> zsQU&8F*HHCinwzpjqi`E!u>xE{*CD>obHzb7akbPj!A64ArmSP9VR;yq^aKmbqs!? z-1iR1@u26e1}-*CpWzbcvTC}Wur!PA&-7KG`r-vDARF9rTdHBCU)a5si7}J;4uC7z!7}2r8`!J64cM5?N;;t`J!Ug8TR4um zOpUmPWIX|FnAO3oiAQwxy>Hw{$N0(el)i{2^ODi(U?dts322MyD^ZN~tu(K@0+*-Q zRe0VPj+|Y~11Y%iiUqmNJmOQ8t*|5QnQjKd^Nx`~<&D_OR+aG7iPQ(mr$yyQEA}Ik^)QNt1LgQ;euCEQVOdg3@MzAV9$mXcslz zs7}Mgy>Cc=T-3njwqB`~gk$jAVPyA*O>bke zbSSP0lLij+8!Fs4+%x>u_gy%I{CxkrRfp{moaAb+S8NZq{aBC~XWViiWcPQcDR^;^ zvwoZ*rt-J6A|pE}@Y|sAM`=Xv8e5m>^Q=DBGhMbYK0L2Jv8T`J&zr25;G)OF)&FM! z&~~`%6ba+66R#B@@_0%3MENgxW+Rk8!<*0_f+xa!_b3%dQ7BgAnSOB0sO<-JUVrXS zwE|8H+kSq(DQ%3NnSnavw!qbxstr&d6eT&4^?{)$`Nm!w2*^3_0!Pc>1nB!XEmu5E zli_}%uF_6huXz3Pm$q|nASTVe7-PF-M4{o9mH-9I8~xrDg(cv~KeF(dMjughC~@@i5tnXa31huxSo z`EMJ+|1l>WD?z#+&|81XKS7Ji)P9wk{yWl=-@jqs$C2}Pws#O%+RSkHeUZ=MWbzJ2 z+q^lOOmWN1^$;wPZ=-`CkEcd4_av@s1PaDZ8I zL5zrrfUx!UE^`U=CllKzhRWfBU{G&8{RWqFCTizPM;Muyz=pOCl@7c=#c*2kGgLSD z8Vk-z((TkQ7bB?fNl$}j|J78$+uC-w5xGKj8sE5)o1fmP?vq14gXZd@8d2-)Ws0g! zt^d9~3_g{FzEOQJ86=czIE2KK`G-92E-&pT8O2Yh@6_nb$YQDT$5EDgwD1u{&s$*? ziZz!fGv(Y-bWYwsq1Wboh37Z{z77IbWzaAsb@vIz@qIwR1;^vBv0&qJ`$5kVC&zQ9 zZd@h|tviuNW+1YrRPc6bRl`sf^l!$VaI>Y+()$Oz`;=TRrd%HQ*x3LKPw#}=iu9%j z3U9?6)C2<_1+z(C)we#@93PXufq!N zR`KCa?t?Z()3G$LD1Z;zTJ%RWS+-YToNz}B=E3={*5)J##0tfVop9W##_iapuyI;) z;o^p{5VSU=NSJ9Y@3#!BtEv^tp*w;+!SJJM;|7`nfvqa45p|rn>dwnw2;b2-MHc&- zev(72BMwPGyq(J)f%-Y|`uH>e;iFw$wuTId@)v|0b|=uusosctE@${TH+}-l^L!jF zp`^QiQyMG;v@}{ml$#)1Xx^Ag(KkHq`$)Xi9V&-=ULjwY5jN{c2%DuD@4uk5Q=jlT2b zcBqHeI#gF`2SxvbFVf|X6x~IQ8~wBt^})zSe&xR(yLF-1ea*Jcf+u{S$`hX8f+9H+ z-7iB%h9+}a&Io5j=ol;oz-ms-N-Z`fcQCKsuY8(bQ1lr?S4Ge5zkg33<*7NKI>n1J zg0$|`L!`hezVk=1%Y41d?ww_U$}6{k$a`06;xUsilSE!QghC4LD|6WB>i zc%9h^zisMdNv;U-Ot5%5uA2n*aUCPVU%IFJm{=PZO>CfSkL6b!0*2!`;5DXi`SrS$ zEalb^_(!Bbn{;W^R^hAgmubDPX%x)NM&^DT{i;*4ArnIiQ5RP}NNAg$*;PlRX4;)} zzupiq4qHZH&X*}~l4OhH&u@O@_V4SN^x=2Fgp4P+aXfc1J z{hKdC=ofq7-C$FQhA&iTy5__?JmVB!w#sYLryy*ZT`mTxAspfp2bI*Eaqj)UsAN|; ziMK<-hsep1K|fru$gdG{2PWCA_ryp+r`?~531wnweRlm(yXTTye1#H@$sajm9WRHM zvIQfle%CDfSD+qcYZ12mWtu|2| zOqqsk5kR?&9ROwY!-94Ksp-P9m)BIT_~FkKgLi2-QSWjn!)ruHCVZ8kTp+LeA1kC2 zNc`7T*-g$YrIUVNw$|>zo;l&z3+^Mi0svfQ}IrvZgsx8uwjG zp84`B#+>jI{X?wudp4k88W*YiOv%$;zXFWR}LB=x=8 zf!+)!p}oVXZbpxWJ+X&e!Ptix!-8?tI4mUJv)O@ukg!>FxdVJ;%;4{zm-`3|cpuin zc9bcQCD-2O;yL9~u3WJYGrqfml0)_@0p4?X*hqAKFSSZ6;vn0;4?gRn+q$~*1a^~1 zTs7NXNk_|5SXL5>wQ>k!qW=~Wr5P+PNeoFqwBj`gK1i&6jPdoth&pq-`lL{P6rC~oGS_X8yx5<+PQAK6X0nLhemBm{mgwA>oOdtBF zW^KzqnZ5VP@=LRQE_fq&voo3sR z7XI=N2y@ybeCE55N)r?P0sMKN(z=P6!L;>Y@*rWkNS|X|jPS0U5?jC*OMS-5?R9Bp zpvr48MmCX?ohtA$q}XXDY=#WpX2+e_gCN{ixd|&<04Wvh81XG9Pg~7BOuxleI|N%m zK$yb|dJfb~I$K3~-i-~czGa{6rp<(Qs>cKA{ zlby-gCs~oG%C((hxnG3p^BL_gC>Fm&{DP%agwBxi#cn{XzbA5i9VbzcHyS_Iap{VA zb6JM?g~g7^kq1jbO`%_vZyCJL@UXz-&Ig$;95!lmncG4)tYk)VGT1QIsd6FPtCI8E zbOH$noofG3^U;e~kZ7Xe#y(-LlZ!`{>K?03GJeP8|79-ow#a2_O!3T6A2A?Sb@>p- zP|@Jnqs0#VR?ADfrXQl}68}sWt#{U{=blXNtIFwg^alsY%MkbElspWt2QR_9_f4zl zHLaK-^+kt6U9u!hxr8!;6QeP(0**&lMnUB1LC@;l?Sz{iaskxHU}Lr;f{D?p-?tPT znHT>KC|#no1yGrCby)`rmEyOtzJ5c>Ga<4aRn#%xC&n_uxYYV2tN5j6t39~0Y+TV1 zx+M5!fzKt-O%sb+N3!__RQFXUw}F$p2Xga)m%yhaJAA(S{Tw)ncq`duLQqB@>b2+{ ztrww^7T)h!4^$T{C?(h6jL>b7Ou>K!{E-vRcyIo{g#intH)JJY?ZNA^;ufp)MZs&| zaTwhaVvs+KXN6+)q@v%V53t_-gZBUai464v{p7;QtfDZkIV-PfAHk^{VMF3z3ycx( zY(S6JVF$QvOHn#gRI-&+^SUwhk{3F25W2oJv-saAc*>{GNCmJVJUDmG!$6>T48;2m zEO4Vrm++EQ>|Nrrh}UZrB^;$cF4lPhm&buhrt@d}knKP1nEoTP|GnNLk8oAJZ(7zW9c%zs} zAn!yEW;3il=k2OqJI;eipCnGQ zarfQOlqZ7b<%{O z-cA3GN@jXb?kA5n;euclw%{#3gCUjCYpO{ap6#tRWTWmT-9QGf7t1 zABCmA1iQZx%yb=5UXbI={q^+j-|HBYUV9eZVya;w^DFrCJiv!86f@1L<9L`Z!rcJs_hh|35Le>rFc>M2&}Drp25u zQo%Jm4PhaiN2SU}1sxxz^yE!HA9lWC8~m>`a?Xti^K<765Juu=DVHpcL%fUYFsSpL zjh(!2TVs5-eahgmj7eeRvz}o)Tr`bQb=mDEQ7=hd{NI2N{MdZC`=xL@wwvKlY0tPik)JhkF-^(Y>VER>uZ;`C)7`^f_WNnk zkNASKzD|#z&Cj%u^gi819z|eK=RGv*)L>4;;nYDe2G>sQVjp&v%=7YrBQ%op28wDU zTD#yTF{B;Pr>==niJ<<}ucp_*@2}qSBKjvrwWGXF8US;^X<6(Q_YIfNX-&A$(QzF# zGey-xD^>#00_8gCA+OD1?}Ryj_@0?_h28pIUJQ|hqc7c+pa9Jq+3)-a=gwWId#-5i z!G_^cJGYVvs%z*jzMK#Lk2!Jp7+GH(_{koJGD11G%Ki;14A2~Egg}t7+w8GYw>!N!{dxO{u1GkdhWRNI9{YExB@oH421>zfLes% zM}Eg!2|QYRz|iQmlNhg2bgQu zk{3J~nHMHX%nIF0w}y{px{AQVg)~IS0@yY)9XD^q{O4`oGDV4ldoTUi1mbv=sjr18 zLzwP`T(u?bq(PdOSWXHF1h*@BhhIjmYTvQ+$|2+87x+v`p4&be9fX-D8%Sq4_FUL3 zo^Q0HGOYTE>(y>q4P{}T{Q95DxKvtP20Zk0v~UQhg*2i;;8k?hgr}KHN=C|TS*_u| z#Pd$6ak}DH$7l_}c zV7XRxYyaEdEYxtIzWB(OyK;$1S2U=veG@7WLtvnWJB)qs>R216BVCI*wo^!2rBcpa zL0dFO3%i%N0@C5k=ed~+r_7wH-JUOmj~bo*tt-BgRt^y$tZ@K5QnvJ5M9Gba!!&=u z_Ehe+a8h9aIl+_vs`6i_59DFg@SQ~n_3o01RSUG6raE5}H`b*c%97TKED==O~OaAM#eR)W`hAf|l>7I7p~F-3jhA zxt2?F3V&i_P>0-Kb#Ivp;F?$pbV(abNL8~C&N%(@vf5;_C;R>1kg^?%Mk&0-fIsKx z`owMbjw^SB9F_XCetbm7q`jZ2F|7EB;2)0TRsI z>EG!WtIwRwUdA=@L@K_PbO!`yu*8yt5_c;>&quPlk7Ew&cGqT4h*pI^@WF|;IiiOKdzu;mol#P9b6TG?WG9z`q=9RI&P|o?0y{;HLo#c|5EtU!9gm1EN-w57+L>45K#q!**|5zBUGX0PqA!W zA@rO{kaHfr_U0R(VOoO-X=(tk8~w$_y7Ea z^n!dA=nP5|aD)@;qB|)f5e}0P37;Oc&fzDND9~g0KJt)OT6#XoAtaiZt12O=E8E0- zy#W=hc!^rQv-lBVN1tJ1jE)7v5W>brdIMYSNN-$Vcs<1qJ3gNu$JWfTQ7X)D2Od^P$3;HYAU_ig^jLXwgU>RC;`T!vaNDB+y1DrT^7WdhZs z$O$uwI6r?Ssejz<6XJC7_)d)^I^LAP%{&$~ zyg&I&6u=2WG5GyKNR&;YBH0@RVrfe>Lvz-94>Vh8b)JE9RZ6iQB5zqQ@5?o%-U~&< zcAU+(kv3G?vemaNQ}{Sk9SraYNDGdv(+p}q5rj=HAm!T@N8@3<_h9G$*P>1;gZ&;- z^}N=z{;vHIOyVCEcN4#&brZBE#KCk7EIEW{ugPb5{wNd$PuE#09|#iwzEcuYgJBsY z8F$}r*gQ%dsXgEUa3f-?5v-T4-Zk`=#8leLCV1_ZpE??yGKC(&S#qrf=d|!&@5Z#= zugijVm1dTG;i{{1wh z=JLoU0z^f|`DZ6A(MT%8qh43M+wTf)UhA32b05pJhtCIj@11y99oCnMSkN%HB?YD2 zKeE{%l1Y@cD%lN)hg}1?+mMohmFAHRq z(`!W;hbCUMl!mBVc}mesGkQe~*rl}N(L%{@JW=_u=vNg~3hkFqN;geS>ZL;pHtj-Z4?1!0A5Mg(vTyb7DFbAF5knWV}_w>L|O(pw1- zS?Qfqihq31cIoitmI<9LAH*&c`Dp-sShO+bg}G^UW1NDxJxoYXQCCL1^lM>yHTAeH zZT#AX#4V8V`&fKMSc}*k&iQZLkiNXo1d?clJl2r}TWUNkbY*3g`3f8@8e%J>ZDw(A z#PXzh*JVFT|Vu#h^TNq;A_DJAyB_UL-Z*ij-n0l^s zm_>SHnT!EX_dpP#-tXtN>2@nDWa78e*O9ec)A#yuzr%P)grBebv~9O#z2gT>5_9%$C0{!#Dr3mv}v8HCaE-9Zd9)7m`ny{$iF8{|jDLD7hk#yG<#6g$xZ|yDSFU z-+nv`#^&Oe7Y$2!+3F3QNv)FLZWo{ectL*94t| z1p?4Yq&=|PR9$%@BP7jgMj7Rw2PYJzLmDUPu$s%nb9QQEKngS|=_|}Q_m)Q}l1&b4 z*%M+={s!Z}3B@X)|ZX>m97Y9X`9I7itIPvKvWsWB7&^rvV3pCTpebfqh-b zhs{yAs&_g>@kSXoN`X5$9*99vxWmevS3F7KJDmra7pRDklHrG57mwTqgQ`2`{6snJ!aE~!|UF&4R~)DgX3IUc%Y*%j{l21Dfsv_eD3h4 zO71?|3%;rj45W=W(0XOHFjbl~8-e&8awO!2@Htc%?Mw2?1;|&@T(N1%czosyOr^hT z+Msj#gO`B;LefVdiIN2ck{Ao#habPuAyAkON;Ml-_^uVih_#j0Il;L^pr?cqrVjP) z+79CO3#pF@!p4z$s|{#4IR8A(I$XE#_-E9WMOm`Uj_EBW+T2g>Bf5CZb}j>uQLO;3 zZ-|I0X6Z-jqRfnv=>Z(Dd?V~{^7+Yv@b+216T4gdc0Z}%EA7ZF#w|i?Yp*n0k26e4 z+b6=+VRN9&EWRB;aR_Z_k1c+B`Rqbd@}>5WnSsw4N<@ewZ?^NIg1JTZ<;e`h=C1<% zyWF+B)9d5^<7CR%agPUX_tBC0PrLqAd;y6snkC?dQtU@c^QH&X9&exM>p!eEBLpqtX&ayMjbF>=R zE?!bWxpX91wqQk$D7BJn;2nR%iBWg1T>#8vO8Ecn*I$n|1KNqNL%uqPucxAIc=<69JlLCQ@|{9Z3vH~zp_xNINUgQGX7h) zW|0`qBiMiNgSffzat_Pglc6I6rEK-qWnMT9#jMF%?pG3fv9VEYVaF75#H+e#ohLl2 z-Wd_+r^07sm)2C@0IdMWb5%=mw|c@s)n945N`>1=Ab)A+7@jAL^cOMGmUY?2FS1~! z9=N>MHX`S5#c}+d{A_+edi>L&&v^m&uC~T+c(K(CDEh-l-`vErWaNqOjPxf%zBUx< z(R=oE7+k!+i%Sx*!llVvLQi^aF#2(!o%AI}Oy4*6J#9C7(^RR*oXE-*Z=@vmP2xAg z*SRxgry2{5-w*lia@oG6%fsSmAsmx^H{Yz3aE!>RCmd&no@FRk@cDpf$@BGbxK5%fdZR=l=;ZzS_e&B7$1Sbi+Zb>~L2fBy zyTou@twPF#^Y!bPPTdw~2IC~dv(=8B{eYv&Hg<{1{d`USUu=mbj4B$gnJi|;3jTCG zueut2ZfCMGXs<^`o=d(6D z@%{5_`sb3;$3Ytdju@QNU4J0+FjIsC$+VLf16NayNpHhyvY==a=)_%Ue=}SIfOh7f|O!BuX6&wy#M4+opxaUk=m=i(}p{e ziYi*zxCiaweMk*igt}(St7J*15CV(7%&s%)KVS6h%!&9_G8XKdV=dL9RF-JqLm^Ws z%g@ay?kmlQWky@%c0NkmjeA1>El5qQe0plIO2esCM0B=K(Lz}6+XoDdiDpnn*#Z;u z_xv>-@7!Up%~T>yCE2P162`G)$&`5pARAH!0=+7mt|%yM=H~FMlp3-t;B>?%P;Tl8 z^!CZ8%*s>D@teOWN8tE-Qs}e4IWJn5ebZ7|aoQz&-h!R(-f0tO7TzsP;&+p&g>TGvm$4|XML_fx zT2J-D6gn`Y;W32z;|z>(?7e-?^va@p)g^NNX7o0qfV^c9PM}U+XtcZi8;iL4(eSgZ zltD?sABe&B&q>=85x|2J7?MbOl~FetABNHv*teH6*tAG$8bJ&7t69hPOYXQgi+ei= zlB+YwdHsMvG<>6a#e98R7|y%9E<9of`OWh-co9s6bWacq`!(U`c-kEk;2ToSLMf~2 zFmaLS!0KByA=I8li{vB}irM8n#Tjq`kzk%z;Ga|1Tt zcF!YfRNoj%;pl!vcP6{~+z4A9L4I~HmOC#o3&1t+QgX=S2-Jv6yJy&1ZO0TDo{UsQ z(EcP=e5RX3$$4}B+VMLcMCVCq&c6w@UV=vtY%>z zrM*+8rJ8%I^_!)XwU=ua;Q%vseND~FjbA3DIdJu73^+HCk3CD~2%Ii|L-|Mj#$a&f z@D9-%6Eyi&)#$;4!i7rnb}@#}{|dRn>x8h|?&kfy-ZcS~wC%+&8*fKq_s~<*Ecs7B%@6T^lEy=5?&lrBNX_@+v9Ktfs zpKG_rvJIo`Z9_5N{A0vNBIhJfG`z*kw~=j(=?V4GHMRLjj24kMPCuA&n9AU3=;9=t`AqRV5Qp1Ivx%*t723-5;a80p1t-#@m4c zg5OkN_X70t8<*j?XoGJzQPo-l@as#e^0G-d3|QMbvYiIVf!<9nT*qjHFcWWP0xT_3QzRU4@WMSL%eu?bHNOIaWO(ERaCrW~& zi@+oa8MittpuMkAZ!Rkc;hVE?@Ij+41Jg|Ao_GPFzylAS8(tN#W*#Sg^s;R`Mq8IRrr-8lpUrHal0k4z2F&ATI ziZVbfw8{#IKVFkx%8BVwtk^zxV1732jjicyKTsr6KCcbux&m0#Oxv$UdN7irCoFf^ zio1}4HbC5F)kc!k>KUeE$EQ`x{x~s=Yt2ptU1VP+pOc^OmUAjCWx9b*66sY3!dc~7 z2uPl9N4bva&!kwcnOs@i&uA=pQH4*@v^4MAq7(TlzQlW$SsCNxYejXK3qIjy={c-ZWeaPkroT{cF?ntJGf#07A z;$ujGux+U26fAsv;CB-~MAAU(iWKTE?AMFl^+4*oa5Pw;mi_Cblm7wqj@V4$9O>{O zOM|3 zqL;2g@;_hOmBw#;i8%bgRBZ@BP9Ir`Oifk^$OIaP$FQXf4#}-NrXht?s5Z zZ|Le~Cr}s;4I=<4X*mu0%n|socDqF1@&o)>HJW5&Mt0IXVwC<%Ik!lrP(|UYXXqL139ISzIR9~)qdtC z&`C_8Rd0o6HxS>ADwx~~Z@8W~qBZZ7Or*^(8Ghl^q=0t-MTy7^TCM&Uqtp~|?USLv zWyXfau%py47ct;H9x)bZ{PR5uzK0h&sagiYAWycAdfI5R-Xg0g0CW;#-^%ATA}VR> zCXM=`P+Ikr0dmQPKDl|s_vuLaBl%?IS+PI3@WBjx+#Pf!D#Qn-gyH|lIOH+^ zmB|tv{s};{Z^=$Pi*PKzp1#dz|I+cqmzUIX#8_YN=#(%8cp)a6F)^n_1?a`v-a7lq zh*IvsBj6PE#Ra?d7YU3a`NA#WSH~WIi(pCCQvdUD;dwH?usK*<@Z<@mSAvr7kS@Tqj~J92<^r*)C?{cL|KUPd z6W?13`!MH&E40b&e)u*)g3@=+xn;PAgbT#AYU>+0Ef(|2;c8+70k*G@#_-{YT+68a zx?(>(ud!6>uh83bHTf7bZ?^S25Wt6$14yi)JEdJ?ZX#v}p+ComcylPQGJzQ(LV=1o zm!2s2-x$^^Sy;^t39PKiT;Iu$6L^W}(Rv!kq3W|1-GyhQyAb(s@{I|m&Wxo0-#k-97ZP_D;( zbu>9P%n&)}#LeQ=2tqt!t{}?kKyuOHz797thmNgpho=Clzoy_#?$K3?B;PE(ecESx z5y4tSjlOy785FgljnDl2MdY15;%J~JJ=HH`NldsRl@;bw-f_>h6jFJAR#awxF4e+fK6XiDcISM* z!K{@x!Vam{q)W@+mwT%MZBmmTV zU#47ER9p=hh}Be3ON8fPye>QPf;NjRV$kQkW;c!f=feF zf?wZdFm4@V#O1TT9I2@%J>2^(jb+rA<_L&v-wwelFD+$K>v1*f&$PTdoVpKobG=8V zru_=<4cBF!u*G+YbD7YS)53Ak5`J8m6hdE1G67aZ>0s8nf&C^Mn~xPTa9o@{8X_Gnn@qg*e7-O$S{jY)HlOG5bHC zzyf^5rr~$D|9XG25bzZ}Z}Bf_KYdvCf)l`$u9)*b6~0Ns{NSsOT&a*kyq1OU9RTNt z`*HWgD7}9D!W5n z$d4UZ=gRcw>w&{rZ~3)PxVT%$rDg*4lWV?)?t*XdKP=w97B3r7CZsFpr*~-#1NxPa%6FC~m0$ zH^XE{RO*7g@z<64H;vS_dTs@~L7RN5brqUci>ImTH$>SGVIZa=)sRd2Jj10Qyf>!$;( zXI2p_FuJ=0*bU#czRy9y$9TERu%4PkvpXR)bo*RW_aPBr^qth9cTWlf!vE)#eh*b> z%c1VM*99~a0cdKsI3`g>F`Pq-4VnsuWig=u&GMqYvVPM=KKWAWdFexid^`IAHXXUdQtjmgromdI2gH$*2ue+z9J0cS@JeX z6Hr<1QtDaZ8R+QH$C#f-kgb_RfYMM|$shNwUSH$XoquvibdBP@N1kqld|10XwoIr` ze$y(6#h+kHRfQAkKM3Q^v;Wl+ktDuH?nU6^UOgzUx~hJ zC$+N;A)p^HV%@UVA>c{aL{ao8@eODl{_%;9S2Bi$MhxJ@+aYIlen+AZ^DIA~^q5m1 zU4U!p=t{4pSQQWX!>|ZxaIk}e!@PCWJI&m5;RSeSvKIUhUdc_hB6#yl8mjXOn3VaA zWxGDyhdDvoyu*|y;p<+GK%FMX$<_k)Wqx3me!+m8nZewxU9mRHSLxGyY}b~pCjG&` z_fFu;IoA;#E`-8OOhGPiA<`29$A8+e@4ik*sC^A@V?!nf;NI9GKO)>DBNiEV+jnKc zm*(%iG0#zSAUk|y|6+PD_Mv(7$ctz$w4JFwcY3>w@Y7<5n%YgB5QdgzL&%VB6#L8l zj$w-y{w#VbZz)1)-l}cz9v_GUE(|%zV~h)jL^5L-BD>JJ1y%)+bOxh%*(d~@GK;|L z;L+;v?emAnu~3-C-r^5a9!_PG(%h7Gp%N!NlkmJHGNAs(_IpUu1S%3wD58)}tA-zr zj@H}u#vP_`7sFTxMi5y!0E1K$Dh1|##l$Gm@0m6B#BXLdhHU0H{(`>tyMta|{PaXM zsSvNIPJMK4URrz9@~<`F9ifAxBVvLtI{@(UrohhxSo6*p`PS^0nLw51?3Tztx`DsM zC7%0I0mo%%Pg?h+Mt^-s^`Q~G5~wnZ#cGrk4SJ+mkQ;ZIeLJ3e$P&N~Y#drY{@|0^ zZpUI6;$g|i&;_D}{eC|}gt@VVYct|1syW_8Ry{-(Arvpu{%aidnGm>!dBkMKdQMFo zUG0(>4x>ny)_#W|T0ycRH@xL`F7ME&F%S%x0HxkvK#ue_#$7Uz>*dVx+|?!k5R%U? z>rRV*^tc^52ho$hu+nNdhFiSUu6yyMrnT~Y=b9To@s?vGKj^*OAgw5@N$a3}K$A-9 zQ4e_YFNr4-T=|n~dZ-e);qQyQQwz1KHFawdCwm%C^()M{InFma)@Ut{~liJwBgipg%+QLO(V;#6Xgosz%qDm9S z{82Gzb&=gYir80v^!IH@MWu;{IefYHBtfFb8!0nX1IL4rN;RBt3=mtF!?X4c{KzBb z&x4x!WC=T#XT<*cmvB%i<-bqrK0H6>LENN*^ z_hme;2hx^ted%aJVA?k`Fi`l9S9>0*6FqjDfxIeBJwr8<5vS8$qgs*8V)%Az0E$QW zI=ATj3%p(|C+JjJZ3wY?$|Cvx(B*q4Dr#wtSja`Iw|{}}b?1)MXuxri6faAxYz9*!uruDnm0lmmC4`g=w?o9T)3L-7FLD_fsB>&jw1Z8x<4M-VW zf>^e7mGmJ?+0^2@qQ1O`U%JTduvB95m2=ZI1TD^_(d--BRaVS4IWSnlnWrk1g7|DS z-3dIc1#Vr2VeE_Ww0mIlTY2t5a6{p^Ic zKICiRktaWWADP6nRcSmfF33M9&-eZFue3hdNHLgbJLVlE`wACTxiscoi$_^Q(9|o| zyzLIEAt95dKG0gq;DF0CC2Y@kLl%S(!o~{=zm;~7e%Dd_|6Kq?Bqm?BH7V94PjzAs z>b|z-kiM#h4z0i&*1a-EIN{&-ig)He8Ki(T(HzVMhixgfp_l;FxLrBIRVpM7gaEKS zBp=Oi`k9sw6HmXXNP}4zSg4FH&pL~d&1qd^PK)i|#dDv47=1lZ;TEyq^_1c^UVhXR zc|`WxGU)yJR|bEN&+4=*(1h&<6lH(&U9)x@#(-uY?1!r_P8B8Gq*VudKb9lAZg+YO zm*I5?iBO#N^eq#4fL{pd-i3t6Fhl?_Uc)E&+uLr8YWZBnQ;(B6fIa$PE zqrv7LVJQHKfgW>Pi~h)My0G%eR6vPRktin!pj+sw%T8(x+s;j%9%$LdA_AOcr*>G5saN1T zg(2YS68S9lVlFk3OV^DeXa^T?OvDz``rZ0He3h$t>&>G@@E>K-9c4V0od3AB7s9Er zolEh#-OHu%<+fWDh#5{nTrv1RpWe<-1QLz1>XRlc4P; z*7Fp%8Of(n-WhmCTc8{AxVBh`EcQ&1BNV=tfQU@sG+v|-Q||2|$<$XG2Vc}&$L-gG zC%Au!?7BLuQ@s)G>O{J7r_{>c9k}`+;)Qq60-*ip!E^y9)QCEKKFOZ!BoszdlHD0O z?zPKto43PSk_;&Z1jHU0hLw9Ef~T0;p2vq5;P011lh{EOyFr`|w0<&Tk;-aW56>}1 zXo^1wWZjIvb?eI;rFE;iQ{?J`ZW*Kgs|272y9@jQKxF&fm{tyuaDvHZzUI8bfpGKi z+wxlZh3MTRzumXZ_m&6=-WNVLb4B4AvyTNc4s7X);7ahp@;jZVwtI$FY)=_SCtMcS zou@Jem5Y0P9eUA8RD={pERe@3%P0mpuGa*72*-z%e^|fePJ2`?YhQA1f-b*Ou{rK8 zs}_Tcz^HHcp7$OirUx=#?bice7b24w|6v?s05OzhI>)6C&FVS@j?3#&;#M{m~YVEAfWi@=!ITNF~sFcpIA*b9de-7kVM#L_cDP!YqUa_`K&aygNiL? zLnGo!S2&Xpj@|69{^*~l=bn%`M`PwToI1zlXy*Wl2-=FztdGQjr1gRixbG+VXGSwb zeQ8>9IWD(;oK;&-O88uV)v;KJ&5VQmzP@U@IBfRdJ-M!0qEd2w1t4&rM_Nyw4_wXe z-zYX@foA^3(KH^a|CAaBznHm+jTQ&jvD?=_>71KXSqDz8)IYYc)asl{Qv{X?@AvO6A=h3tUeVrTaZl4*TR9+eG(Ir7iZRyqcXInpM(Vx0tn>0E?P0Bn%4#-$9 zg$X(=;&QYp*Ia^TS}Kz0qVbP~1lQ18Tu+t0^*)}a<4*%sN9tC~Q*vKs*UNLqlkyO- zYiZ6Itozk00z&LZf$!dgd?_6|ku^0sLWOrjKtD(k5?s*kS&d!@R$r+@~!=PKowo45MlAX zO(Kk*@yAWu*s*eKuw4SRn9fX1wf$TJ_MZlU=P5LKPmQo?|Cd%P(hjIXhFsNZ11VHN zGHSjUbp6c!5QbF8@RY$X!xyS_p4s?~92E)t0t8h(LqhJCq_sYFeQ-&&vEK5{k%K7Tfy+X4ZN+2ba;}(8QTMG` z=g*J5FCyP51e3z#Xe z!eI_h_)zk4XE2t6UB#+|>xI55(SE~m`7xpKYmLOcOjF~A1|YF!IU{Mm^v9qpThGro z4%hJ+AxhfYZYmWDkG7x17g;7i3aduvaYc60D9iI= z>*lj$%7tsZo>a8>L{Z6#?gj_Jl>@3F(Ehyj(yCAOA$4kmNUKB~Jbn4%zg_g=Oa4PF z7gRnYQ|hYbX3K{jk63%~_3bFf|JkM%tn1{Ix*j43d;1{@i{8=;Z-%nMt8n zR+@mtN$+0;qIl86+42k%>z^|TDb0i3819c*aZn)1jZ%Ul$c4bE93qHus-5&Ft{6NK zxq|FS9m5JEi|LP=I{WliNk$5e(-Lr8;Q<}*C0Oy|Qmtnhj21(ZTWk{~?Ml8$gyMd# zup}SFa>Dgeb&s%2IB1DTNCv1-)vvo0b+;zR&L^VS0k*ZHp~@0Y32TRLv=Zp=_@UP( zLHHnl8#0%MSdbCqv(j^JWbT~enfPwWWxi1CcK+<5kJx7yd|O@3Dn=< zdN>0pEX&jEC4&#)=@dq2-6!FlE-Kgnd3CaGm?KD9_v4qxBWKtmLz31N9H$a=oEt=- ztcULGtImyR44v=&4qOe#CIEu2=87Xkwu-COoAH|}E_v_%^@?W)LMj*R#kl!k*!dqr zIz)c)Hmbqe;w1N@Xn}rL^}tIB8`G26%+A|^3r|a%NwwdP#&x4s{~D}`o+PRmkBFen zS&PaLjcSo4s3(orFAh!bufy)he~?i0U?r;o2+Ar(JT3*DDEwd6X$K@nas>qiRZgN0 zWM5eTMDEp4MsJdY4;-sDl~zI!eF3mPwP!LLciY>me1~;`5_<} z7`e(s>=Vhw1f~>Py;3X4vD>qeFs6TV1UPaMkMxn(eCsy+XNn=;@izZvnva6ljy#TP zQ8E#1oSHrtJm?qt17r5j3Nnz2uLyUeU!1~bur{*~_M`+0KBu)Fz%&Xwyo`#b$}2IlDzLt*IDmj9@Mv zSes{~H7s@*&R~4f)A!1rlGNJu4{(Wk;T>1ut&qW@bNXDKH@KJGVN)Zb zNCVG=;!3^{9&2+;o}k>6c!^u(9|x(14DLiILN4G>9nohFal8^z8!dFr30lEbUs~h0 z{qNyWZWPc;&>jk$8A%U%-b=7fJSGg--k(2itnfTpkJ6Mlc{lKzf{AqlFK%99R#S=NbNJ z`o@fNZA#5Kq_SuKeO@LYg4(eAa7x3dln4W2tBUU=as9fmmnHaZ-)B;I%b#ESrLv-8 zN9e#D1V3r{8tzdSThE|=@iV}_<$Vex4D9dZa(S<$eZ=Om4PW+xnZ>7QC!EHsxgznm zIxe=**bdM#n*;8Xmh|S~Hrr9nn&(eJJPEbWctz8pc``)$3?kcf1yBWAn(vxoKt>gP z6ltBat!(r~Xjcj6y8hS&?&~~T;AcAo1fU!<5-kZNgFrdX-U7`l@h==K;CV5DvK5v?qNFQ^^lx8e3Xb>c=~Jn zR1!fmknut&iowFs(lv0hSizqg8;EtqhH)g_bTQvkHrYGw&jBFLf{Zv0Xx`n#XA*ul zN|bWag^)HR^+##GvfL@`XG9EVh(g7-Dn}a27NC(tm}LpJz`1`OB$sO}5470JW4BMC z$ep#8{CH0mW*lu|&bw}LeMGAkW(O2jrMLOIP@}>YX@@&~{ia{J=&<{;W8p-Z*X-!t zB-gvhw!7&umG(VXB6T^k@la!1C_<4-bkH9PYs21La*g6IyI#txjGB5|ebZlmZGJ`q z)sKcf|CpKxP3lV=wENXb^F{h~RnCiKzc@5$tqiPmwVC>7wM92&^m3pVmYC=H)O$3~By~!5 z1DBwkVTn}^1}Nue@aa}<@I0PnYr$1kPIUXWA)9U)xn&VK=NYH-Jp=wR?u4a7>SY3?AJjawzkk?oH6$=|cd{xR^q4a{fz*p3K zgURes88fMUvpHKjgZmXz?V2BVyq|&K@2gkxY?VVJ#&2U(Drnq^s{M{$CZAuh350|p z?8bQTjW)MCV(hV;BwUI8f$i~u37~H*20lS_s)KJx^>Gz2fV^#X>cC!QwU#*fLGANb}v-n^|G_pHe^q&UCD-i4*&evF;%+XE6L@EP_HLH zC+4XxrumHLyA$!DUQ1KuDELKY496J87ZRRW6}%%Aww(q*-);!GHr`u`8te*@4>(w! zgV+BWntmsy_8r0x!)1ZLvNh9&+J$JTAE6f29_6z70 zeL^4{6V8=h|kI{g1gh zAZbOLw$I8dj`EMBjN%xkC>5>qaAuB@3bxVL9fQQ6jZ(a8bJ2OcCMa%9IYJ!n{wd8& zN^0uO_|5*9I{A!icIX%W*+<9qwj?RYypj`P&Kf zwd~rWf~#SH@Hl}FB@>{ml%R*3soLMtdoq7W7=e3DYUYVAj;86}(XmpGc7aa?etkGg z$9-P8o!$%APWFlAcUtvCV|K`~aA%rL?fmJ#aOIJ~I!kGpr}=u7uAcK(+pPC}9ieud zn`wN&&fCMvHt5BGrp%|C+XWkC{X)1O_J{Wj^Wv<&q07%eSZlUWYU=ag7W zdHJcRc#p)KKmvjv>!yY+945s*ZPQy|t?<7lX$2bhJ`?;;(8rIA?yw?93rC_wH}XgD zHKWE}+gnrdyXh(B99Jan#|y6b2`_Mj_c24c)Q(k`#WDC) z4%&Yl5>E_lfexq9pAR3gf7Meay(xGvt&nl*=O_uN!<=*W&gkp_n* zu~ng;JQ(WIN#>}ply7_6&0A&qnLI21l>Nm*7OuNryYa@O5_PQn{TNi_vZnKrKxuIC3j`@~pB3x)=Z9iHi(xgz z{ZKtdFN^kr!)$vvUYTBfT7lY8rP;9dS;j>UdW`-Yo=C2zfvu%^6V{VTPq)Xoc+6XT zQX_u#i?}A!gLIm*6C^a&pOnd3iffnoo4f?7lQNt&z+Ztv`KGjji{M6QotK~%5*gpc z_R((FJsj6ab^yU^UZ$0Sj~QDh7VLA#j!ygU?%g$-L$ndh6(pXvmZE>BJ32ov@Z+dS zn!~IrXn5L4GPV*GD$3#GN9wRzb2vffervB8~=xL>D zEO0X!>6s}>&?THOe9eobNxD)(uj~VPSbm@VT}(avX35ZOP8xcHTfejDy_sjAHm%)f zT`Y-U!@k0RfC`*&NBBQAA)q}3 zi(jdi$xG&$7b{c1P>GO1Ed=WPBzUo9j&?4lhqzbAdY`%n5veR`n?5|ZeJQ`d9}#x7 z>)KBMEY{QUe?2f8^(@nS8}C(r3tXxX_Kd=M$7K)3E(&<#R=y|ED-oU>#ML`s6w7Ma znQ|j>is)YeB-WJ42S7zPCSoY?EzCrazqtMLzov)Ve7wvG`zLVi%z(@WUwLiPxpLu0 z$KBx!T^fSqE>k;jPbtPcY#@Uiap~dtW)C^axeU>tiYP)j>x98WAL~WHl7)X1_Rltd zffslyQB~oIQiFK8?jdFjyW^DJHoCM*m*RMi_n;xc;ytG-(oK3L{cg5yX`_A60$bN- z(*4RCj+>35cO~m1-VEc7n}Is4A1u% zQ_yqWcPo+}f7+VQJfnz!ddzLVN>YmN<7Nvlh1%l%?Xm7(B2L$<&Fd~F2Dl_C_Q@m_ z^&OBk$U+Q&(-V{q@Fn4QGOD29dlx`wZh}gJOMfag%)CD}Uku~E_F%Y2uXJ52*T?WF z+oj`QV^s)KQ^!p;RW176Y_B0v#YtVKeyXE?rB&_aRfk<}0 zFVQO^lPeu+Pb>ZOz7_c?Z&8Cwfe6At-GSs>WF_=Kf}Y|2y3M{Fks(stK&HQM z;2VEjP0qw@$1ZedI$BzA@6#|FMYpY1_~dQ%VJ@^r%t@=`B}vPEHM^^k&Nb@iuY=yq zT$Cd&BjEQKX)y9PF>P4h1-@ANJl{kx^USa}znq#IO#c z63~ZH0^Jb-Lf>KZ_8I7Ud_gUsx>q(2Fc>eJt$Is*=n%htiVl@2ezr`;nJngvsNF$ZAkfvSvv6>}0S)m2& z6Y)rR;UX0A(iI^98MEAWq46OtgfoxcizFiKy5KKFw^C4j` zaz`S=E@74_<=WZ)$JC;fwTp+NsR^W2y5gC)=Y=r`r5__O7Tk{|HBD;pHMjEs*Az=C za$AGi;ir`#kf@#O*;W88QQnrnbIzq-tt-I;-O(XT z1wxCg&Go#~`}@%_k9Yx-h94-3+c}6Mew~pi-GN#Tk`AKTxHoVP}_+9;A6TL9F*sY-v7c1OXJUYe`a|4)r z(3xk!%9Hmj0`=9ru-hwzjyx6_qGb+vo zzFsm@a&zznq>UwC#rktiPEq=BS_7^9d#?!#w$^<6i9sB#>r@}|!=o152~31dpC=4q zrmk%ZR5P6|TD#Kz;sb(quFC)w;%MBU)5+4uTHQmxO?f;nTOUPOOBgi>ulTAEzvoEc z`BQEEXt8$-c+Y6nY&uNDjbNYhH$en)oPNeR;%}G;{Us)ibTVt~DXK(xKMW0ira*Y> znCf*l?k;wwB)))}>{WP~%QmGplEDD;aQPAA9I(&-KF0oz0XFz}GIg!mrlq4b)7uj% zbo+qng{e;$-3z#KpqOn9-FBLjj*$&p_yiSwNXX$!M<#w={)O5hBxX*V)3QVJF+szfdUDrlQRzUJW{p=LEm8f{feM&feyeO?a(I2wxhd9}) zyyf|9{M`chbsO#d&*={07!lQz+aUnER6|$SFI8hVi1u7oxxqKK9XFO8tvu1ZEx~Jv zY&r`QcC(J;zy3j%f!HuExNoz%Vy}F!e8%2eH+$pph{(0xokPw%=wrgIi|{iKv`3%G zzvjoD&h%*OKHC8R<_}M#wkmgLr-8sbzW8vmn`e6NudZ=1 zmH*uIW4B-ImdpJ+IE02tXVM5w;n%pt+eW!I;47P}mJnyA`~MnY8Ss{x zL04w7yO|rK-VQs02K`(zoZoRXQ`4X_d*~MX`i_cU_wMWbII-OnIh zGLtI4Yf}K;8Xv=LV7;PCEscj*?k>me6FS?s2KXJ`Z9j|0EhJe}<)H?!_DyS|C~m)U zbJgq>$?mREI)+yK-SmM_y=Yk5eZJ<$m1?)mu67h9p>;IuXFMJ+v(4OJ)S7Ni^L>Xl zoHJO|WHCE~v|d?aQ3;+yyjrGm^PkQKaVt7L2vWoGefEtX^{?eIBMN{l|3J&DfY0yn z6%RwDn_+Wpu#0M_?`69WkpJZzNkDfsk6@G7(rF)FTYPcp@Hgr{u=qh6^tdHXbj9lA z=Sg*i$u4`Wl_0$Yoo{epeEHM*xZHz~=DJENEH9(r7Zzw!k4n?wrkv8Neuo=AV)zFP znLRqx*?ITuZIy(?lMCUrJvtD{4SMr-JDeYp)N*(6SH9M^0i@~-?razT%uGk}XIzk$ zvxKD}Q%b0%cRdy^(ohPcnps`OX7Y3JDVgDQCZSUEcRu8=Lyr!*V~JjNy_fL|n7_QZ z$iwYFJsmgFq*=v%I)tBPzdtq z3^dE8-h~Hfy&)q9uO+W{S)^39D;(?P8n0RKf5@l)(b3uhhC7M{xtbw&Su?qs@$6RI zSYUo)BEX;=CZk7SqQJSoWwlAo^&}pew8_73Q-3{v5vJy(9!sHDti+M&aU zE(aQRB++4P8_I!u)e-KEa6HbwW(?7RQL^l{5#c-2U7sR&zC587!v!y*7j8vK_=!z9 z(lS2cP~Jd`cX2nK%6>AOZu(mRi z&deE#NH0g~V0M`4ul_7Hst7e-Fw!f=q0T5D))`Vcm?6su-J+n1{QB}wiTHgWb}e{d zzUwfst#vyI#E`J+k|6&` zGi(2n5+GTD+slb>-Me&mCJW@{m8_wd(*V?V$?gN-n`W(aQm8S))ASeMYx~74F!| z{H1DU@nzQrbcO;gt}Hk{YSF@lp>ry0phdw{eD6BsDz)GP8(}t_Va!W4N z6b=K0k4dZVoy|*Ia6PG1TQRjSxE_cuj#spSMZ^&r%!f9SqVCKJBpB5HT&H~5+!T0w%rBps;Kv?;p7EA>CA6c zew^ISCCd9vPCze@cD_9iCpQf}8o1;q)ni0BzX&#ce9&;liwJkZig>;28%-IV#|VRz zziqpTnr^#zqSlSQ0*?O_4(;+aq3;ti&GHojMMI z8`OG&r$9tX5%_oNveTT#i*(g%&B>bPBXE??r2e>(oZq9@da9#2tT=bhMHbRA!6mLV z1h4IKxz(AEpbjMCG;7JJ`%tj8ZTgN7k|A0GefUsyk-gHe$6Pzp)RGXgLBdQe9d$U9 zoxcbbzj$-D`fFhn`W$`%d90r8r89i)`^rq+@>J>nnMbz72|-Eqdhr3)w|Oh48>Zbylg!q) zPx=0IDyEhI+3h~)3c59{?}sxPwsnna@*YBdsL8*4L~)gqmyXh3ds7_xT5aw>d}|59 zVaTS8lt|lW+_ZW#2&mFPbJ&1IKle1XdM#mJK^XX@_vjzD^-&+MAJbtGiWp44g{>IY z3XrA{u43M}JC~4R%kZWN6+s?_6?FUQWR5-U$GT9xaDQ$I-UOYCuX+Hveliy&g?21# zXKpKA^Pp&UPH(EPCwb+fS`&%|#zMmvLtQ^-BX#O1Zb? z>@ZYi4QmEZCWPkyTfKiVZp!o~8Jdo+6KLXH@}p6ywB7wpF=TaQwr@rJmRIF<&=7~A z8EF|{_lWBpZhjy+Z&n~Dnli$yt9}w}47Q*>N&X$9amIq4`7avr@bLXt@4C#|>BZkU z_Cn&4eK)cpNc+YfdlHOqaM7bNG(&|qe2PQOwr*OPk#EVSGb&VeLBr3BlkRk}V zC_TS?Wp3ALzHQMw?GLQplny@6e} zWImg~GaKg@%ms_I3=1rv{_zo-C#K?o@nW+T)+7G)`<5m){Gjzy4URLEt zx{n7B24fpXvq$P*BhyHrh@kkx@!=M><*nPJaQ`K9pHREUPtdUDXsrcv9O;V6AWa#f z{>55r8NAOXni=8reYMEs9as2PL-I%rclWyy*e4lgZ12~yT+WD&6&Heo8D@vHJ(rp1 z>RO?Ls>bP}J)ifGJ8mg%xO@(tL#IvO#q`=4#Om7K`6R_KtySj~T@9lUrF%v^WUVIo z41`J^%*h`w*gMl^-l|7aZ(rXa;Ha-?V2ekJ@VQ6sWJ{a^1VlbUUz()X79AOBo8jV) zk}oxVUfE>P_$CnuH$Q#*k(P;5^ToqaMA(yxUi2>2Fel7qvc-}Yc?cD&V_t=kxt+E1 z{XETv=Yj^P$n9hNQL&*9hZm6A8-*-}ypBwum}i*m)*f~)U%Yh_+a!5D8hbMYqy?zM zv-fJ}dzl?#G&2&UjuIXx*6Gnd3#!Y3{0i3mG>QaEHm&&?1+c`#EO zrAH)5!Z(Z$1BuoDS6}5{jz#IZ_zuKG23r+c#^$)lX#dmA;n=4+p3&K8X~W^@gJEg& z^XZr|;f?Xi_B_UZ*TnbbBo!2`Pj`}9> z-j$@g_YRLvlj9yvlJf)${;-7g6u54%(<_^rMG{2u3WqBo!pAQ!KgetRClu4*nYT-{ z`+Iz{H+Xyls{F3Et_aU@8hHza3Q+9A_Y?S>@!AQ;&7e3og6xqXN9?`&5VYWkm)?!K zm1Rdd#0Y0`?yS$S3HXkg>#nFI*K1t`#L?G&H+>_@WeKNd2BU4rAYG(g0JO4&G#teu z*ZmLN#`9}UL#^6j&R^saUXjFQ#rJ^ThTQBh!du&Z2XKi~goI?JdixULOLcc*lB zcMl;cEee8^G)N;2LkLKNlF}_mr{vJxAl=;^15AALylZ`b=hw_ybM`uC?|om_7o%lF zU)8r~8J8_@D0Uo!(o~-FNJoV{1S3?vsfCINLa~mVoJvG_@*RCC4hxT}z>4J!b-)g0 zr>fjfj2gWSH>$P;QDd$Ul;z@Y!zjcWs1R8oVy3kKj|QE40(!kZ9EgXm$&pbCgI z?yl>%?4a9<0fU$2Q)JZvye&wKaCPvl;7R=^KP_xb+N*3~mEhlvA;9)l^i2cIi_m}qC|mvNxPJpql>U>u#2sOW^32ex9I5xkJv#GyU)6Yk?e?b$z+2{-*; z2&x!+iPZSi!6B(hDk-jn(hEje54CHTUPJ43`^B~Z90B9VnFPQCG4jf&%W?(IYsxhB zSTr_a0RyDPT7C!1c8yxC{4g;zXSDf8&kZCiDIH=&VZZsXh9>-6>l__8zTaqa(yH~* zVKv3BB&aT^@b@YyJmv#)c>KUCMp>8$PXx7% zulvT20hr1 zLSdOb#J|#}#YF;NTsaSorZ53()-Kd@8$tTH&`eOi_&eSh?hyJFMONNvA9m_^6RecU$h+HjJW6Y@P6G665S|SaXPLvGNvbQmWL=HQtc; z6}~5NnWW8pp)>c*t#t7=>M*lK@)FjsMLBYe;H!Sp@Yh{2ke)nCMe}V=O1Oj~_?a_r zx-v0sW<>Q|o_56$(|Xt(ZJ45Kz1c_9G0;+(-%5FYhd5M>UDX%@iSI(w;thd_!5Q8D$?SolT8ZqgM= zUnQmU$TKQvw9kOzaeQr>(JHsi`96?-LA2$Kaw`dnWjy)1G$xo^LJIGbUWxb>=Z#+V zTN=7$ieyt=76aq6(Y^x_46^?Q^k8dZ))d39qEj$%jmZt!zbbI#sI=?(lG=G;VtMc` zdKIwYYO}U3%?GC=exd6gmtHTBtLYf7(DP`*j|w4(s9j({slWTT#?#fsapDX3EO84 zjkm}7;chO0UOieUS1(v%L0s#>7GN!tcXKyL6E)+78i~&oj9gG|-qS0=12OkPPWTC=?bsvvrloGz;uaxq<$?9di z5JRIE$%n5PBQiXwqdjTu^M5+LHcm~RY_j?jUe`7ZEB%1J^rUfIMoR;pOlHYjP>GFo z*2oxDH9OKIA!1r;TZ^zV3NCGlZHjuQTejD+jH-$_mMwq~$V8Yca{PdNIxXC9n;Rkm zTLoRnQh^Y_c--T%gEc=IL zuR+3-9V(*-@58c3mqxnp?#<+h6+C@HfogagMZU|I;IEk<$k25!o*XNkA*Ce?k+qD{ ze+scWX;Acd^FjK7oh8o3%tlpVuYUhkv*jspT|wyu5X~hc2tOE1i!tA1)t66Ipb*16 zL*-x;oXiWnvKkMZRcA*#X|b?FP<%q+n{b#9$#`GdaK=X+s(NCbqs_rBE+G%qVcAuD zpr#Ze<3inuC9Qb8YX_2`-c0W_|pr{v%~{$nUY-uk{Zn{ za@u=V5VvKb@P?}-kvS^(RPO>W)`Fi4X71-xE^!V$%MbRt8kRGdER$fA57fWk$}Ji^ z{}=0hW}*cT*fnXaZk|*l;Z&ezS4)O(GY5>dBVc329}yZc#F8ifHf?R5-#zs&uO;t7 z?yZyAx*w4jYZ3oN&U?yJUcn!A;Dw&a`Q|XKQh5p!dx-|JUQ~^W zq!(cu6^kO|BlY;&l`vRzHjdP-ItL!S5fX$ZWh8952=$b*xUBWd6bQo!i57XY_}(lev)zC6J(>} z!NF{6&6^fnr)ya!Y5XBKzp7w;&G2srMeX77iiRujczhkUVRB&UW9H7>gIf=dX4aD> zbD!%)Nc49rutXT(0C07)cYF-KY9w&lRCC$`@|Bb7{N*1Hu5 z+w)Mdmab={u$kZna`ik5VyrsQq8hIYzeD{Nm-VpPOUcA$%aMmeNzb>vm#wH?sCwgy z9HcJ_h(<2S*O}+mO?f5_pdab1ZQo-PCWJwr2pJ6m(5W?BoLYgf#u5nS<40Xp><> zJBvb!`Qqj4YG|(&bLgt zwa-aU4T-Y`zc7T;Rr2-FRP^3h05~ z%Y!yD|7pK@|L}zciS8#O=}*{ovQ!g{j7!}&Ya3*I$5bNaYiYZ=}U z`Ypa;QDq+xpHVzT9KKsWoq`T35zTXwd!E8@E!abYue{xsGXLZ1zV_1;bwEnX&wIoi zP{tg#jwRU2{F)jpp&L06LBDVAgq)kW{X)Fqu6tk)rn~$CWw=#jjT?E$j70}X$Z!1- zV${*Q0$J{ox8)>K1Yg`oc=aZ)&bh4mh&>Bo6FrgKpU>n@=GNkv-n95ci?fV#z;hfc z%7J-~1&^HG=+>?gjR*+I!sqAXQ0VW%)Qdn|YRQxwvhDwJ#^0yPpbZe+*)Y_nE{FN5 zjPRc8NE0U%6S(xP&W2E#&H(yu3MJnuWf}X@wzMF}r+5QP&?kP8+P;dNMdKAV4ngTT zNh{|_4DiVs?(nN}Lw7|na6}n$AISaKP_c%%3evJ1jCu>Dkn7CJ3D#P7{Hsr7y$uTW z$?}PMo`B$qr^1DD0sJ*dIp|~z#bv!1bRnDIW$MPOSd!m;a)45NW}srp64Ls-Xp;Af z>Cj9?`X#ABzTkV9&AF5wA{zHS<{R3AT`NubSxB`j$*3XIBlK$KNxLVM)!A z8Po}Nc;?>aA`A&*$bE=7{|o-YrDEP^h$tBPS@V?R_x(4;6#rr7`FBr7C=%GYUN`Dq z2!oqTHIQ^`3W&hFvzpo zj5z+Uf$?CQ#+Zh~Qmv)e{XfIG;bdkjrbXv~V|{UUj7u`IKjhpI&4c zgd+)P1{zO~Vehg<5@aKFeemddwW;7fmOuJB5D^XxJ*ntV7y30qf)@8b&^T{CVnBFC zX1j>5^jpe;X#K3;Z4cEYVv+;-<&4WY!vky(>G~1L-;f%uMM+4Q+#Jx z0bJ^bnQGMTZw4%+rA){pe}D=pzPI9&s=ld%3uJ1g0D#cTIc@3q(lvmx+#u*Kc zzb}twreEm4-!KIHdP?MoWa$+o=(9^e+;GG<709Xr9!Sd>sG%|Di=dWQcOFnt5%u}9 zk%3Y(FS#jISod}&#N*O%mD!O@KNVH*Q|;W=&ID$szoVG!7{{^O@gPlcPkf&g3!lHK z;mvb^e;W8$y5vU;4Z|t)MxOmO_klfaue6J83V;Z0VL^h&=m*DD>A$8lu%_nc|33?$ z7AbbTwicmzIaPPb?$TX9h-hyQoXH}rytF9$>RP}=%2w4rXUwCNb~0B z>&KIS-1>6VC=|{y+Upa3^-w3Oy`~4l!P{D;DEu;~>S#|ou~3j8eWuk~vvILf>G*h4 z#|URA`UXp1gLPeTE)|aAXViA z-)Ms}>IINritmyt)}vnSOZqyAE{%l1a$iy-B&!p-)p+{JV0Y9iPOX+na`qOq)03A( z;bj5JR~dmr22PK|RyRsIeJ(VH=(}j|k5*Ln_U|a390a6^U@1QI9jD8!uMvB}a)CUY zZze5!d!Wa^XM&c0&37cQgu-~EtV zzFnTG#%X%U`%tpKA-m)7*w?wELuX<${PK2%aE%kXfFEBM6JH?0I+~(xX&v>6s*f

!=vRg zUPbEagD*u+*bSP7Ebs2`;mljYqj^4-=A!2=D;*H06ET=f!OUnw2XkKbbOE*V$IkJB zabEaC0IdqEjJJZ3*JEZN%MEdt@HrAn-LB3|({{~JV$D`j{L8QAu-}d?;r9FUBlERH z)C<1*=5Y)?#F%Q^prkv38{+UdKRS&TB>3}n|kmXn2{a8h(M&LZ~=5RSN`)4 zpr1EW2VD`RJCmU;^OAcq2)hkVdb)1)qihbp!@Y}Q?c`AS5QaeisEStx`07N zOwaW?3J+)ydm7ImcR1ZWQ!1p~6*eVZM_ZY#ek z(#q^{#=c5VPamnX`-p}2#Hy*jnsWPFCvRiE?W1pGp@I`O4e+PtGOdWQ{edH zD7WeyC0yslN6w!#;3-kNZGy_9VH!yHK;Pz}^>jN2A4E=7XvZ&X^*oH!)~0-wRRL>h z6i0*U6{(K+qL;p(+|A5`A(nx02SNW)0-=|ez$xdcg|!C*+b;nO>~TI76%{-5Q-8;D z-y0?U>2^oDT~0t#SpHEK&6+P9p@C{(&LU+fB#3ufzexEea}Tw@H)alN_?TV7Q3z5N z(|x470xw zajZ9z86Uv(c9hM3z{7jh{LDav5%GOhX5tJ5Y!8Y$eZ}!;$mpCbHd+pY$1Ynpe@GFW z<^r2UM2}@ES7E#gbT!YfGa`8QOQ*4$RoRSxpry&z!%)Jbd6~yWEH6Gc)@?Nhk;l>x z5e<>eJG`y?2$A9whp?l59(7mb1A{@2wP5lWN7*0U^v!XzH}qmZNPQ8)=EDq#AGQ^Q zfO6?t$H}o2%lbOZC41Ipf?=diu|r}0TE!W?kL2A{>|#RO#jAvfn3kg(4XOSHB@_#0 zwAn4N;Mvp7B^f~SZeyJKrb6tk;);(-SCeWJnSz&I8 zfuDqIr*d~VGPGeie~jn8o3?AvW6ChNMsei=6h7nhZS0I$=iZ#`k|nccOh9;%&O z{(;4_I++`@*rBEj?2KI?&jRZlV2iXM{Gs`+u@Y^~M;dVevFPa4^lN%0SR03AI49em#6ubyTF z-m6*Hpl#6k^Q}7l6^iV($?;_YbQ9nVM6~4 zqWwTf9TLV2(wxYUGnM0G(LGv6Y$`Y)G&J*BK6-9kf9Bul0obp1(;I$Ab8CW`Sm$%K z2>)w7t^~iFJ4|Lv-o=_j!kU+DvzE%c^Suz+`WRYQi*Iu8ZN>_%J^e95>sqXNgs|RJ z0asDq2IyPYBem-D1ug)01OWDgK~JnTzMM;24TYFFiKRWRt0_|ec(&W#`!#3mzkD%b z1MBcx2e`|-N%|q~N z9?m2v#Cs_iLvht}Cz?Ix)~D-}?_?sDqU{sihF;6`kg)#U+WwUA&v+7K+_0Rf>9Vv< zTkg>LE)~dtOp<+sW*o?>bn&A^pTSU<+u#v)JC3EGt*e>DToS0xk+VmjwTAg6W zDk-!&z)h7mo8$EzkDIslJuTEnarAf=iB!6UQfCY0Kia-l7VmSr@7dQw2$tK~7e$v) z>O*0d4?gxY^~Oc?S3O=RsC?R8#BEm;?XwGkm3205=H72QUXJ<8({f&eTK*ebGsz3m zYy$Ktltfhk%?S^9!%pbUp}HumKbK;bC^NdNef~OjNI{H>|4K!2JoPtA@@KCzsFbxO zS${WFb1dc?_N_tZb(@bQ`e+0O1zdPLt^y@4yN9YZKbs&n!tH6QGNByKW_J;4So?F- z@J~SQA`7!{W?=9)+s1{uzl#WL_LjF9b&LD|2lTNXy8Bp2!cgje7!p~hX8KS zavht644A^pW=ZW{7E_#cBwJ(=bTz)1YfVHd!UZ~7+!?=hlRdxKbj`bH%Zij@=OqpU z1Y9E7D}OyFs0nb;z`!vILHVpiYQSS(NT~&UA};cq>NnE060hro-0Gvo-S21K+?aii zMN<|b5}l%>=I}m4BV*2I`tEgn9(>xeu<>qE_HZpzQrK=XTblYJv-$BP;9SV*a=TSe z+b#FChN7qQ@jYL*0wJOIS;c$Do%GXbLnwcCvWih9CmI=RMFQfNNMCL955-d-eo~d* z_UrwA@A`aq%!`VwgjU==3gNzx(|cnkdneSokE5h zXjJi%1jRA@8_zF0*H>892Johbx0s)rsnzBKdr}1(OxV}Cq^TBL{{6FsbuK(7zB@Pq zN?md&B0t3Q&-{#FAUqmU2o2mSu5~vLgI=v|^m(qS7E=+2NrE*jJn}K*lsCrFX2_Q; zNI4T^AUdA6!h9!dL+UxZ7@fUkQNSybGX91_fvYAP_!9U`B6Z&0UaOtD>|)|wEco(JhLH#DAG{GbKYt6a{ZMC`2z#I8 zIAe2eZp|U71pi*T$L=-bhE~kf1_fLZtNwT<&>csyK>iZjAFGh&ucNajGs*`^nq~H) zl=eEM@4FdRzCaO!T?Z|<6E1$@?~i;k>)hV_Yb{rm;ZAVB0=FkD6LLIw{Ic1RME(gV zb_-H>!PudnTsXqLH}P@2znyxGYA~g@S(++*fx`xmKlOX;Ni4r@M&rbhtby;z_PpnT zn-#&eZYs^2Ll!z;It~b!;9s4NZx`tc&5C^SH?O8`RvG6VrrnGIk9eV0Ioiy}^atGc zn%dyrB@VuVKMW796%i?FCqp6>>Y+L`E+g^^b-^m}{#H}r`t`}62`C8oY)%Dmk>NG( z(v0n!#{2#LkKqhr*0^_>X5vzSLLie=-EpJQ%T@4;<*k}l(m!%__daWB;rDusqS~Ku z!e>ql$vWal<+egljvAC>g%qmVI64&XHP2iEu-}b=si~ZEDZoug7-=Vt=ZT5Cl5Q$(-wm z)beI%rHbJ;MZLJ$BJ)x;b{LSegpd#6i{7DWk^lZc^-m-Idhz?2L3p|(=I_f7A2H3E zcR?#BrP)|UFMN+O<4`OL9f6?0*X2Wm9K&028NCaD_Ln+SYZ!t?GdrFsY-5RXf<8Fj zevvlWi|z^^yP;5-{CA*54Q#qod3Etelem{3B;ykTf4oOqn-8nR7uz_m-FiY%aoDsLCv>;QX+-;gBr zQ_tgmLq3lOR-@o9@sokzXzlRb&ouJLHANQ$7SMKOyq3@c^VoQk;fD$-lXi9rEhOJW zP5f?*CJTF}c3uoF+wNTqlqR0q>kUoOuLEWk_Y} z5EhM`&nKfi#_Yidl1<)SUgV&`I(34^6^wiK0QdW7UcKTzg}m)vN%ghsu5=yDvi+f9 z7R|CJfFIBzI?7W*g-BRkQ`A7N1xO?8F+(hafH*AZkIuOCYRqoW>%XY@*cM=npvWM} z9GM-ZZf?6-dbw?yVeVQt`Zp^$a)&YBlisf>hh^_&<2by2Y}>fv2YL{HUEO^JB}|C{xJFSWbp^OMiIAK+vb$nkSpk=r~d3HWx)j&gqwbhD39ei*z-28(C-{m3{p z(`ynuD6o0}`12gKZkPh3evZmTVqUg(B%j_&xzEt32P-l0({gZpCK0xA+eQT=a$I?( zYkurwy(S5k*Ch+mO68I=@HJ1bqXMg=;-7=Fh{Y{_G7%Pn&;}fh??mM z4e~$ZxrdJbUZeLvV*Dj`uD+4FPrICn#=r4P(mx21dQBs90e_p+Q>9gwSP&zVESMgS zPta3XZB0;$t!Bjby`yIa><;OCCo(q9kNZ;ml|VZjbsT;PpZ#{d>u_9eqhF)j*%;Q8 zgqHz~4nJ^h-Ty!(`z+tK6T|IDCr~4TcF5hF&Gq4&q|vIZ$az%6AHnxKqIEHxF0~kL z=5FCsdh*n1KdX;DyL*2sHt>6>Zc)I0QBHuMQPXaTuCIIe*47YtVd`V&s#Tgq#UN~V ze{K%8CGzIEhagzq=f+5rI6cD5>qpPsty{P3HHi0a?N)}I+LI&4cgLu0n;)p|#bc}M ze-&lHlTfMBQ{Du0ztUxmL(pE6as!EXGkr>+9~*s>10P88{?(r&#No7B(s=vtA4RpK z_D4!bIE!aqj`r%2`^N#`+t|jfeDNDvx+VgD^=LUZTxO z4r4~K^qldQ7D6q{Z-FL`!3q&adN`1VU&y@2$~LD0P2{h8uwVTz3bCs~bRL(#sT7&? zx_!zAa!_vd1Y9TgA7U`$D@xKRTH&J2n~V0#nIEhfQO*a~H@Yi+zb6Mug$Vvcy0$fM z$Dy|CB2qVafLN>2{O7UTrnFbyixbtb(*nIOymKrU)|_t3K@<~JsuDh=`d+W+LHGYO z+u){O)fR}9`z*1E?Ynb0@5-*Cj;OFWe!g2vfya$AsR;5|_ciqPfpyOWyL}u!o{vMjVQ9COG8b9)K=q)AHo#1 zZ$8ENnjVha710b^X>IhI&@dK8tS8VYaho3(CY&PI2PUpM^oYeRMrFD|VdjPss$>@KWok<{HyIaO^1 zT6~}+3@u~HCTOSS>yRZNl%xqK?b{qodPVJ(i9=HN(GGu3+1k2LXjt_eX5Zv{L+A%{ zO-|*6I&6<-$qduO$sBv;OE09MC~2-1^0w_r>T+{XuouGKs{X(djLN#}g_eezMrujL z+$a~k50}e!h|f4M#`6s3Li`YDA4;|7-0S!LwTc>44$y8Of;NBDaXVQQMHf6w z8M!%2&Xb`tmy0m)I%;_#xaLGFq%`N%)ass}MR&@$a6d#6cDhl%@!OF48SRo#h*PCPG?=CGt38e2{@YP~}4XK>uxGQ5C@ zp>olCpP)MH=;<&wUGNrxC^_a==l^0M)d7}es$6zh0Xq%azkVY{5Wpu3A&ARde=^L1 zl3cXNjNr67gZ2?PdUvfu%Rk3+qp@yIM+pNalQ&jHZy92rRq?*DdyhBIq#8s5#ND1` z&D`$!M#8ugsCo{Q&&_{@jwyO0YxGtp)SBG23a2;z+({r~64+V+ImEJ1Muhu+VaQb3 z{tc#m%AzZF0BM$mof2Y{E&EZ5+)?7YsjDq$7_I`}avUDMqn)$G03btnl=A&!`2u<6 zSSaBymvv-8o_7h2mbblWgR^z*b{H6WD%TF{~D2x?b>jkOYz%!P= zT6w&0rkB=Tmt(%(&4e}KPNu?<`kD)SRv!rq0M8J1Y;96vO&HwQJ(PsQo}&OLT_|4z zs>#!Iaea=eRSvW~H^=_CN)T+285=EVo1sM04oU6dmy2)@`LMV(YK`xkWr;+?v$g(CTaW2Oh>7qEnXzDyP+kx4 z@6Dy(QFNm+$dne6C0@BJGa60-O6rdx4syrOgS}=G^&$S92JBvX7&f1VPy;oo({J%B zwFBa5_+XW%^c`=Sft=VAZ0XZFVHf#Z)`F>rJ+bB}=wpYx!TM~v)7Igy@B#+VVr%M{ zC#QlR;EAwi9O62ukbdytV=!D{DH-?X=ke;R5kSHEt|oiSN%WBMU_Lhf0=#PG(zP|u^aC| z)vZacgrPhK@Xl|6^#5t))O%oe3!MP}27R0TChq8;N z5Lp1R;J_aoK*t@{hIY`%SqY?T63D5B1--d-ZUn8AeqwbV?R?yLyA)l*HnK$!J9aEA zU$t=1hdgp?_W@a(o(T;~fsIx!Oo`riXL~Eb>=9!RPrgp&IGSe#M~6UNJ9MGTQ^9O5 zXo><_IOna0Zc_ACb(XNYrL|Vi<8T7Ge8g7eh|w3}8m~d4FaODh5ow}U)c5XdVeSkH zZy!Fn%pVQypu!%0x^x_?NI~c4B;-?8>C{zV3u+yO7DQF%pxofwtj*~O$|<+icXQXc zyFO=|Zw)g%6QO@pG2cl{Wr<=*I1^yDyqCezOsN2V%$H`PV)e~L`9TjG0%#~gtmQEH zZ!gMpkCiE)F^+VodySy476yun|8i%BTf^Y|<F+KNJhu)$s!zM$u#u^>2RT~}pRGw(u%BnE*78zgM&A>?e^m0BE0Q2Hh z{>{sn*(=uq*>bmhYvK56z`U#71qF{{58D=ysjzoqp?|K^H2CbdO}5+`a$ zc5l;5Ohu-fBxjfbplX<(R<(2|AdOvi5iO2t7J> zP_r8&?Jd;m=%1lk)iR&1@?KQi-b4QtMf(0X#XLLhx5!7=ZXWk}20`OZnxD{-kTv=`yz+{oT+G^PssaLQ?faq(WhwZ!Wf)E6* zIWo+QLx%Ww#MraC@ziW_Fz(uvv!cdp_AyiLBgCMB>Oc7fF$))g?7iy{(pu?N^$(?} zvo|Kr4WiJD)s*eE(l|ML5$L(A&#a=$yV}#iKQ#;aTGtQoV&cZnC1>%rW?Jz~3$QWU zae9$r)Y*AJ*hUh~ODxwm*BO9oRDZwtq18kSn%7YqFM1 z9)RLP4V`&&ucK;AD+f`P765jZ;agq^xWnz!VV=2PvLwIArZu@3OWSbvK5159;jox9 zM9)5~`_#_4R+3|&fU zu;ihJ-x(!!Tv#*=HRe8#C|6T-9JA><*#RZ}`fKBdk$IpVCw%L#rK~H%HMQAUfM>jT zk^uP61$*OXp&aU~+aGb;XgTTpZ>x^sDM1^9C|Hji#C*>;e?f@0$QcGscjpASSRil7 zhvF69^R*_mNC4_9*k2a>5Jm7@q1*P5VM1H;5zBCl#uodKe{1&CSQs^0C5=)8?SIkY& zeClAvP=en5-EM@_;nCg;nOiDjYuHk*$J20}^FGhBTV-HyKn#hVa!Gu+#u6K&E7a~UKTLIUulZ)m zMt5`pa8}FFswYpJM=9Z-wC2H&12z$>E+d;`n>k6RFRgwF%xOFKApCj^FpxN%4|sLI zq6$E9$t0z_?sM2Zj779Q>GI$6%gR$5^5_fJZYj%Ut3EAubVN7rku+cdxmBY z-p3yAwv-}DUs;t;aTO@In#r2sL+Xjk9kyql3I1A^Sj|A$k3451Xt>`I&L@l}psHR) z$eUnRLOooyLn8gm*oQ5GF>6G@6SNT)483JIUOvnf-S`fQU9aMXnt#u6Rf(fiAVBb% z&r*av4>WtnzFT|qVUB7MCY%ZoI7V3t@@b=Kf9gKbwcb}V?sQB=ZLR*;XQCINzu9Fn z!ykO@DTUa+e-d8F*&jhT1z2>ihM5zK&Ee0BBEh|=QWxOeqwAsEBrLbHdHtVz2wZny zbqWGGSKe~iO^k>pl>bm;rUf7Eky_GwJ#qv3_rd;MFeB18 z(>99%)|tX7a`pVJ7SJti8$vE<4*_ElH{KoZuUU2r_!XIOiyTKj`tj-OrJq z_%{Z${eeR3TtX!BnGae-IYaF6hO4m@3^QdCjKGIIFM|JEys z{&VB9vcc#Kc^|`XaQ)s^#%h(06dfM){E#|@o%eO&& zn+V9I3&3@rdfjomS5@E^HG!M;_zzV3DjTwuL_&WxTXK@Ffz1n_2tlp5hd0^k9ix4C ztXvQ&4kb{K&v@%Tq`Bhr2AUorOx)4&lLWO90|P0ZE`DpDlNi-&T+m43=a(y?z^JS^ z9e3AaPh0z0L*;)zx2)>?-L&D%m>fJ`+{iOMN1VrdBbx`u5#$>|;WG?``&}B)qkMqR zJPll%^$5X`P^SjIBDNZ5vN`}l4eiFis7{z%%bWor5Wvw{!z7!u?V#N#5eNAE(han~ zn4UD}>enG=Wosut1&L}Rd>lxAE&YSgCz8Qf$|eIL zuac&=qnGaqKAxh%KXgjXxP%AHDao z>i%h)j)BP*2-Cvba|cI#l1Q8wRJI?NgF1|FK|ZY{ z3J3_-S3T2afEzbr7#HIUFY9yW_Ow#YR)Z}Q?P9d!G(oGeFF!xLxj*f2OY9>-<;pG9Fj9J~7G_39$u zVUnMs?vblFT$zv#=neJh!5vyJcAXY>wZm9kDLbXw%IF5I`Kyt!l5VzFrp})?GQE@d zZ|Vj1Bjx5yl9DIF893#J@c1|}W{_UJ{smsi=FAMFPu!y$GtNa8JRDIlf|;=+Jz3N2(NA4f?t&B@41I|-J$BBk7gZ~#-11};N_@}zO7FywR=`(oZXk- z1|%uVsh@y%d7DJ9rD00r%GZD3hY(#8G-yrM3;M*mm zaGrDrmPK^S4@{^mTOeA)+13#>u-mET@+sbo&9oGVT`i|qr zct7;20rCws*={NuwZlvprJveESmo=#Fy*To5OftZgCNqPrtQ<;avMp6r(cUT#+W7_T|;N(#Xl?t^eb{cqp&>Z1peW^e94$^Cp7LKPcn zO&SM?>3-7@y^1E1e!@kfN$u-%&CD9|{kPNodUF3~72BU9a>;nL6C#9gq@|>8b7fiR zkcKgUs2y_UEH}zo_=9CT($7BcI!GqS=fcCd3pb$v0}*pxn^!FIz8nLZ zyqj{#vA^<`-P3vN$vKH5!TrG{KkFh-IdKAPK!>Fa!EML$UM>8|_+6L^VsgI{mLT(m zkQW}9gNprp#Z28r7tai*p042rA}`-mJ<>unn#OBzH_HjCKD8(3Cd(^KV#vue<%@*C z-j{CWvC_@J^t88(1S4e?m(`|=nm9X2PHWDA*i3Z-u@X{Lb%NXUx)XdQuh;`A!3QB7 zG1Q4qY~TTcRZ{#PZr`A*zvTnWd9`nuaD-x^*OFJBu*x0Rk9FS`f)gI=w>0((?r}8R z9^aHErM8;Hz(wghG@YJwZYokFxEdlBfOpjpbxVjmj7d=LJ0w1TwE%Lu30tDd_J6fM zkcZlFWM;{J95t$c*<&uIlZnBKg2pKF&iu=Jj(2OF@#%P6XKcrm?K)w3=ZNE#-5PB> zo1n~}XBsWE`}PJr6aw6h0q@aMd9#n{}%dl|P=+L$JVG2o?H=W%Ypg#+!hUSu+z ztp79`WSO+mJNRioodj5iF7yeS&REg!e7r` zw|F716uR;p^}ucqZ}+*}Sb-mEd^fEwV(Exeu7_@M2ymsTufhYa4Otom>AJu>v1`1R zrFfg20gpefHQkf)(@mV6ZSOZq;^*om>~ zcEW2oHwTBcoZh{gcVJSw5|Wd4A^~rP1ANRpws8Ts&&Zd(nd%*G2ld}5tRfwNynsx} z=QDo%ioSn<_AHj+|AvS3e&cZrv&H0M#Z~ae>mf@rJqtBZ1dcH*04*bm_o4-nL60Ez zitGCFBQ(qfqr&a)b>`FooB?-wjOu`dK0@`e4M%_l>o zoKJ5M**R68%@Ukyw(GDzV|;J@ds2ZAtK*3qqFALQhPesI^7!zGG|X^_8jEy=m0eVr zfzC?lq(eO)^*$OVNpK+1gxJ07v|4Js3vD@v< zOa7GXQXQV@`ZmaEWytHX(Qg!BjRK1xn68l7`VHA_8yNx}yn=&Ch2IjzrEkIGfqW!1 z@BD@UAwkbg5lly>7!Ub57C1Tp3}etYo2N}IbXoV=vf=F2dPKcf(Cn93}`v!BYQ>&e{U1p{}!>fzEdIbdwpK&8$0^e|cP<3CkPxbhh{j4dUPl4X@y(xFSq9gxv?Edsm|J zj`Bi*m7Klep&wT2X#gzy!}|PJ+`Z(0)GC1FngfQW!S?D$* zrmko0fzh0P(peNGlLz&?P?e0=g@2((fl;;dE2|q>CzLu5z8&EadOQYb`=MDQItoZ5 zak8u2H62U>yl{k&QvE3yXEpJj)l3m_8~w=4y6)s<2!lP2QmgqMf@-(0L&q|JT5VH1qk?VX9+vY%%Ua^=Z@~XY(^&>Z z`MzzKSn2NWmPTnU>ygagLlOmGe+%?{6DPJgYZ zBO6rbvrx{KSW>9q@uQgKWZIw^=wBhmq-cgl{vI@b)R33&cVn7MCj<`^ZpfYtUYYhi z_)!vA4!}etMRVD}SIFyE-RKdPy+-u4I}EbSC#GiO>|6c1$WOg{42RNU z%XgwF_+BBqpi;BGr3w*SnR>}LDUt)gi4Gw|Oj zIX-L&6(A*ht=e3k)N^MS(a+7{N0#yO5yXNlU%69ja!0&F>b(j0ZXX#Je>;r1CIB-q z7G?I%jMOuYvfIXq9SBV?`4R$Ffy!DncJ%k}GO=ksp<2nAYTJ8Rp&A0(6VK&HOlR4~ z=db2cYKhtP!!!j|Kez;vnXZyx?;`)0h&sc}jX!!NSX#0RAkq)4?5c50?tHx3>f*8= z3{(A=Fz)c-9k0sm%nO;dj+7ZvAITlE5;|skxkATGWlIwT5q}$TXvLeD#LU;3Yyf^R zw6#?DQ$|c$^I=rAtYa4;?GKW}d%MR`oPvZXs|zz!tv*zDMy%0^cfN4qwVsU=&8^c|26Pe=!mpv^$NgeWP#G2rd)(ER+Au zg)xq8!S<v@5m8 z2d2;~#YznojCF;cC05BWMdu|hB1pOxH9!u8+I+z^H*YApOfzsu^v-pP^rDrr>VEBK znD{lz6XyjSS2lU2OKeJI&YjV(w*si^ra zG?E6>4RS&rq*T$z)soPH&JJ3zJ`}~CsA(MJ>~{^2rLU4; zubI&22}jcZ6SWMPcN2qSOR_PS?D@c^(kDNvW~+mea4aO# zAq1a9s&P;LGF7l@M0~Ni&`TM2A9GR%LaqlF+-?NAC%>ahz!5tc_#TmU)r1!O4c2cD zp}X|ceEBw9z_Xy{arW_chAi90st-u88EXcCBdZY+Ia&6u<0~EVZ0zZ#+X7*DN{YrE zo3wz-A2PF+LLfq)H_wo6nDPG6pZ25Ycl zO;UO8vrTS$j(>k=EG^&Vveh8E8xuO#tB={!My<@U>Tvl~OcY_O{7)t6J5i+^uQdV# zsr%4_6wl|m;S3+bZLqVzuM*Y?pe>ukojgfUe{CIf1fxI(_=@I^6Dj3vq;*k zMB8904TKlrV+k?FZVHHa@cu5cNL8b3r5ZK*(tEil>X;KlzK3J-bPlq;`9}?jP8Xr0 zxJk_EF;NO15R0M@9U}nuJwQ#Lzhqi=_X~MWLFv0QQA{ytMs#6&(3)2s4<^5e)O3DD zeX{F?J56){$=3@596oLXghs59m6B^8FRoYf-;Qt@ugh1`4BP{X2JryEI)KSXPH+)L zi*4)6nxTdrpiGbeQ;PZ^^jbvZ55R)N_(d{a0JiA9v^m}=mN>WXNtONz0Xlw7?z?RH zGR8_v?%D=uEz_Il?NMah(6q<p*}|A`4n| zT>McwUuB>RRIf+h#s%fJvsur2jHYpV!5b-K}ZLlo3)s7<5RR3(;c#K*y@Jh zuef6v^G+>N5Dn+U=V^-stX6OzRQ~q52TrQ28aj2uM7ka{#Gjk~96gZd*ZvjZR>0x9 zFp9N-_;LRRpM2_#m}}(%jTg7TkF+4)06Ui-B7V& zJP|#1=jun@X+-F<^8q}~S(mqM3uT!V=U(aTm+R>bDXP~v9eXknIjC`PgDG?v+s+W> zJ3^FA9R<7RP?L$;#nS8b2!?P_(7VBy`X$HO-)wdp!6(j-M2Q1Z%W46 zXr*p%>l*b*_C-=Mki5>=K1CmxFJ5LZRp#l}*ofP(;P#BQSjiJ;mkwl+)pQcfR2^w) zEe>RH|Dr`_YjYbs{4#sbtcr&i6okKqQ9LzzBm~_=4_Q!;^`r@0_nX*u#75#yNj-hN zks94^y`Rw>$$D6#pM5%?`skS~Hfm)hU%Kwab9$xJv8E+d8sF8@aUSdbgQ_Dgd(myP z6nG)*M_WFHn{DOwuKTWQked$M*yne>Sz+G}j?LZtoMjurX8$9we=e9uz4SXFIZ|H2%b{? zX-qgvbRl^)nj z|0;)%KqA=8+_DqJ>kReoPCz7kC~Ce{tglE#4(^jpD0qWhxqszK@f7|$c7mE(YsYfM z)i6O!14S*Dzj%j_m;+-7>GKwCm~szwOaF}q-A^Evbu=m+!F=pLkDn}4m;-ANXPtTdkX1>ciPWY zmLJ%Pp?{Ek9A;*-q!Y=t6)ArS(1X1mMLfGT3D{KpiCQ_W(^5qIT_LCkPf^wr zJ@nu8!m_O(XAH~2`_3-9mOq`FIqSN{cz>nw9)fSjxY^;GMe^uWQaNDvJX>qY7DUt? zSlt8tdzq!gj4K7@YY+2Nu7nb)0O4ih6Z*f)H{8LDY<*y>r%htlY~?=%f;IvNPjBdA zx2M>c=>jod6gA{J&eKx;ez+DOdnzus7@4XT;$IdSHavY)wh@R5p;}dX38$5#x(7K= z(fLUBIq824Ea_}W;{A2%K{?fS_3>Lmp7?aAN~=_zXp7J)Twxx794<5z_l}I&siO>9 z*1%8l19l7}%g8Fzji8aK4< zwCw!D+JiT2aK+?#6~dzp!13Vm?$ZFzb>sSzP+&O zJDO|`x!`Ft?sCbSP7c~?FiwN(PXw4DwE;J)G`v2&*P&r} z@_%ggsly9a;p%KH&{m2$r zpkZ~*n|KgE!&ZcD!sakzCWLvpAg8t7ecr9Y!c`?%tzwo?u$WHptw}kvj9U!S=O7_sVUoJrO~#Ms}z0uv8Diii#v|cccrQW4n9%uQdNdu++UYaYfMXieqj3g~#_-@U5Ni=U)@P z?txNb*u~tWjAPI}p5>NPz*F7;hH@JIbk6t7HI7;&AwhHpgX-0LZKH3rVq#aWMSw2y zP>+LTG$VSqj+(an|5*T`c&2$PWK<=s@BxR{MI*!5B`nAV@KR3-d`9S8qWYbuJPt%U zq1Hx4^No$;Je>=-r3tEz0^ZLBO5^qRhlAXGp-(Hc?~BOI{X)(CE?-zYu}4bE=p3%8 zN#!C&*l9{G!8Kd*QW^WW)WRO!K~M(V6Fy^Pts}J4S}B&(2nJ^?^n@Sg%{g4noZ^M= z+S_K6=}7JagVX(T-~L39s;eyttgLjU4O6FEhB+pg=8BLWbu9#`L|z8Y8>bSmOS?Yf zquf_nJaD07NlzGQsE|c2I7lV`;+r|EnlmM&!lT`q^c~2aA$Uqw9n&ngX*; zmLa)3TywmiZfFhdYvdph?R76D9*U~RcHFAoM}!2~!3oBfO}I6KI;iZH52MM%Zyc7E zCt*+9HN3k|2|FBJkKCa}98-kX^cKn?9nt3rG@^qGzDdak8!cUs(+MG%U`(D%1u{Hu zvec}@96s!7B{d5c3gAmTB&;4G3E{_zm9`vM&AY)KhssbQ<%)1J{9GjLt(oMioKPeJ^&Aa7Zf_Kt(6KVm9uKLt+_hwpfl~sM5QfcFk1En@D?>;?#k@MO`5g(%Aq0%5Hl9 zdbF%cdT@<+a;MukP`kR88cDQ(CyIX#3i$}0cDUXx+X2x9=I>7JZ_3=2m(e~N3?kn8 zTH*%1jb*V;M9+j`qS>8*JHGq_eF?k(k0+6n{$LfNn2++SmX4ePWf1(`)1_y_FNwR< z<295-!MRisgPX!Xdf?hX^oyK!qgg9MDj*w%t^IZB$frH7rZU-aH7>;>I)a=uXf*u) zEj!M&dpc;jB%1hq*&&9Xd!^v`9oD1gZ3u}-qI-QwI+(~E%404s*>JkfyuOB@LvkM) zzcN-kaa|lILn2La?=d9Yw*GtsR492%t34e;TQ>G~4VlZc5(iDwS@J{E!0;a1b-{MB zO0QXWO&5{E_$tackw{q;L9Uf00|3_rG$_EKY#08pXilv;`#y=zTFCRs=Ly?Y@S8A( zct^R|`40%9bTgy|oZuli3du+SSrg~|+NZ=*6tVME|AsNyO5rz8faS7po-vBXI92$K z_s$T#-rWjaMgyXd;3~){L+0gkd2ieh{A~|C^K8=mg%bFYFmXVlv+EA2i^6N+D)H}Pg#G;0t~qr;$P;-I ztt@yqQH=R-&!%dF(=U1{i!&FXYAHGGxg$#jH4x|6-KvgZ)0AYP$xraEYM59i$D7zE zh!m6-4fsPXe9ye$)yTE83y>8kY7FO{Q=b6-n8X)rx;tRfpAkF;eBD5!GeBfTJ^S+< zSbZW9Q#|}-a@o7&KOp(gH<%t`fPjDgq3Lf=OT7EJCl z$%G&nYuA4d_tZYvI>>dWKEZ6lvD?1pH6~@D?bS~|;07mbj+*j_W`c2s>j_%$zdEeJ zONw-!KR?XVjyPiu7wM0jLG&Yam|<;j`SJ^5oW%u*PW_sWxBTIP4g>vF?D4km#W*x( zBIJb|5F78|PbHfo`pCtCm02<&eX9im!FnMqDVIGJ?=?v^P_*7;#Yr;38$!cKFVp>& zYAwLxj}^uJlxM%rIUc(ZPvC&v36Uev!B zX`Z{=;U6@$hRB)%_qIPgMfjR>(H6c76ZKRJqAM8M>m6fOy^dZA99K-th>#U-S{wa) z`qJVdCP?*W$tE%VY_}_@Kl2FN0*b<8)X>jaL@U7TDSh*ICKY}W1)jD^1S>*s+?-Ql z!8p=2^2TI%+)jB|;V-95AVkV<5t>n{%b&5Mg(~?Re#KL}aWcgtUfxzf>7---w0n}b zn~g)N?v#Yw%v<54eY!F^Z+^kqYH4!Xq;Tl@&!O(<5S8kYO|OfWS|iNW_&65utIQ*f zf7H)gPeZf4k=XuG5ev?$o{i;>gLjLK4qA^=t(<oI1>LU?5Sp%aG=;co2Vm}q~a5?HWuIeYp&SwUtYZ6P;)tW%@86+H)_@#cJOuo z!_em6Uw^-vVK53&)ILXYP--mzlcT;jwj34@#|CzEcj#-b4{2c5PyK{Zt;ekxZaS^U z9ZFMllK3XO!LjHNL;K%wF!hK7Con`A!moL2hZINCZTh_l%Znkm$&AFN=TY@KlG#xRo)$veIYzI)(;+EW|G69by7rDMnRbziBw~xstyd?qjjt_9 zYYZvF^1#6(MvbL2$=V}9$b=0@=;#-cq@LuZ+?=RJByx8I&}@z&aToh# zlEasWSFXxW;oj`&9dPt(j1Mg3tAxl9YS*uQ?T12B;;}BdlG&OPXL^qdt)1zgxw&>o z%D=D;-3@acO#YSEF%td#V&@fSTWC^w>IWd(m;){jD<7+B{w|ofrf+pUop&Xgf4Y5* zxmKrl`*$WBfLlmXiMlbIwXC`{Z3aJ$uqR${rqTK=_1ITU2&5c0YnOa$-sT!gsQ{(S zbp15?98bn&zw04h|2iqQ5JMSk?nnFSM#l?y9?evIx+{%^rtZss#$l{hh~(=j5b~3a zN@WNA=Ht1*SuI_a?2bR&aQwO|=;wa^iA5FI zBdnRzfc25bhC@V4&LM1RpnxDFCwzdn-iMnK+k=_C8*2rT5{bJh6~pEUd4WyM`#AsR zl`XsPc$`3k?=~>1dFeOqx3tkZJz5&ND6QaoAUW~5Vpl9oE5iP@RM)x&Y2d&BP}@X5@PHSmKKvW zblIrtC<$G{{~~=RAyadX7pcE^_gR$L)J=>{hQo^dTRk5eu_+c#_;pNIkF)e*M}WoX zZbB%!@}oKX&^ahT-lZKj;G+I=e@U(7bZSMCB**k>pnx^1jN6tzxboDlu_Zv8O`G7O zgR+O4df~h69cpwMH>5K_lhqNs1?Z!i{o~)|1M|HyGoR(siH;c|8S!x~Njgb!O3d_r z)m&)mBH2!qc`d=F-!3kdmIf(PcIAyf8{&o!A)!G7s=goe46;=KCIqLi0j$+wB z$H^A4b1+k%0rza=M-JPG)~uN0-UBka4||o*%7umqni4Vt!3}*j$M9ArXB!c^XrZ4D z&Y3Yu^4-)lq9FDE)>_c9Jdy@0Zz=itq<)2T>@Dx4cAwOCX$GGE#&6|R%M*UVC#NO4 z4SKk?Ua^klQElanB_E41cHQWo{C!7{65YAi-JOb_$ziZ(BNsB-Xs?Y@b5nqY{}EDI zm_S-t{){;@&}Zm0^;>ZoD7zBmPz7c9%zuA}nK&SqN@@{G;1P%a;b#(m{&L`Xa+6o3 zME-KXNsT|ZX9vu`vhUmHoy+n2&U-22ruRDWD|EFJYS=rhd~@wGJ9kP&P4WX#Df-NI zEpV`n_!LF^ym1_^d5f$Jln6B}GnRbvueG{}-!kuDze|h6zc!m@+a|M(wvrYh`;4B$E3|<x1SGJ||?~m+g;b z>H@Oq7a!UMJeU2Kj1#hH>lNlwppcI4c*BjJf&$yODA}`J;;hfkVA{+bX>1>pA?wXW z^J`ZIWQZNPDR3QBCo{EjvF!K>E1k)_qfdkRKyf2;7b$rd z`I(-$c;L#_Wno#Hvu_awT5hA*XuW7h+7^U;DcT7g{L7$?eq9l;<;h+({$s}{f&MKa ztBhX?L!T)e*BVkmtXTVfJ*jIDL5YoNBymP_m5e)Jz7c)d)ssW3+aIKc*KW^Eox13&wph54#&0qtunzWnT!_#|4opJPVp6M z;yD&WY~MEOGoVejl}H!K&5KhGA%Tem({V^5mw1(UUnReqx4#`ii%W} zd_T>Q)4Teo3-HD_0Wr^KUiz{S#~C;2fA0t=Hr6ie%2o+W-shJC4@irmFw&W>SMLP` z2J4&-mmMAE<$SH$9p-zvjq-b*o-Ia9Yh393wnAz6yV!x|*suA<78hWVSe8oV2`4k* zl{h!AkFze(LNU2n%;8IErQC*S^ME7Pm|1*U4HZ5`9!Tbw{Z8ByNF3-^Ta%xN4 z=^0-~aw^9ib1n*Q)$!q}<(Txy6%uv{%%E!jgg(*BU_*(WeUjBER41kG*QnwLWJvu~ z{~*v)KTtf(+nC2W2s^K+>kJ8@qT!TCoL6hC?l${>RnoYSZ+Vqqug}cY)?tdqvUMk7 zxLb`VW4o5)MQti>kKvEXM4nVlg+88Om~X7Mx|Nw;cvLbJ=AiM#GF!c1l`JwferwcG zb<4-GFK)jPYY*X((5Qr{oSSL7l$iZ-HgZ@1;k~Zo>$pJqbfjj1 z72lz~C2*a#a$^GfWTa!r5m1B3gllmrlEth^dXE3!aAB~|Bw#$Oicyrh&9oy_p>q9Z zl;_S2C{jt9hvTwzT)U3^tsuNfyo9_uTAE=seSQ3+Q$nZ?YEP_mXbIeHb4~d1dW2$Q zm5Lio$p2lFMPUIc};|l*W~M$~GLlWnuA@gCjLy$FDwaH=?a~3=RaLr*F^MN9pH*T3ISL?RH%z4#^%@w>F8TcHK*VnJ%9*s>d`7&0ByG zNkjVemo~?6EJpPxrGT}<-z!xPI^>?lCfnfG5y(Fl0~7@8hI z!(Bh9YwTyLP90J|=nnih`T-1RTKY=G=#bm_#p(0l`_=w8`>!?#`IiHVUY59}m)|iX zFRl&&Rzgu@)L4}Ylpl)rR13Qwx?#voZrgGWFM=pq>QP9MucxG+oU*KEu16~v11`U- z3BsFHDsrMiki5d8{x<#5Ock~RG+*pZoXX;&jp6+H;yW!M%mOoDB}UpI9_;~0-AXs% z!VkhPpnX6NRe!rd=PsmmrijvV&LWic`e0>o?p4V1!$|?+``7nii%YSZ?O+Zc-oML@ z4((2M=O>1zn#+ugmGxQSlFo=tO)B~(z6xpp`zH;Fd{W-HLrGHNN(EFGLb?al^kH&<36uD zN%}J58hcJ7IXn{`Zx2{$_x%r1f?1%fCGGx1U5%-kpC&$F>1;II2yewT7O+<=WO#h3 z16W?-1Uz}jvK!&e15V+U3UpP^rBPtQG8E(i1F9cwJ6OG0%faF+E$5=W=f#^SkVM+9 zg&Gs~*e3RMaTOAub??RI6;?5V9qsH6sZ8w`6G06NbTaiFk>M$alixuli1^mawQgHQ z!~$XIF|lKnJBYWnE;0J&l7Vni#k;KrXUKf@4!IuIW9zPAC07N{5^q(G-UKY1QiAX6 z6Op8FD_FAEHv7xcLq%v1)n3F0G|)3Q0>{GdeNq1EX+*dW8?*xE=Fb~fNS78y@0Mse zyCxr;z;~kwu!8Z^G_k%w9(wU3YV%j!y0PDX7YI&At8jqK|F_ghAocyrlV4 zZp0>_98kgT0z_KK!yAU5e=T*X!QmA1EsjNctMSl}!EJBcKW&%%L5_o~__iuz+N0&% zn}`CcW!xi8%QRme5OK3Gku4hwtp&PyG)Nl?QmwRdCb%n!pAZC+WJY5uya@4n@Qfl8 zShH(DX2`oHwRwiaPYn(0n;b(g#e~PSt!MDjMc+{`HZOzvjyJ&9vvm*JAi)cIe!OiU zx-rA6{%>kix&wPS2LG9dbpEszJN+Zj(aNDn!YXQnb!M8=cC|f2eK$#p^ig+mOHuxV)l)3S;kC4{Y=(ur{~6@ z!nW>my%)S3ugwD}Wz`NJ8hArlZe348b&YmNG6cM~lqCg-j+oJ8BBD#YX-WhjaF}v| z3ytV|hUc@%u95QAi=%6W6b{8^;T1x*X@vb`3%{ly1_d9(&vnry#ZYs=Mt+w(m*A*goHQ05P9Odk!3S2+mZ9B4-^IY17`CdhwY)w$e>t((9ACih{~ogt4z-37k7ew2HQY*Bkg4Vkc`IE9TnPvf;XKj6Wb2ESi07HQ!tAO8= z2m`6Nml81QNazmsUC}5~Zx`ouOE(^gtFR@)5S*xamYM zTF?*iN`c0GP7JWh9#Bmol6(=$3D3PzdLH>vqChHsM zGJm`pU6w`P!qUzs?xhL+X44jAO)wdFNI#1>^B+E{+)7MEkYbC4#2cNozefLPuK?eI zY^)*(0(=jQx7ET@f49Ql_dVjK+z*gjlym_FQ_c1*_TI0rtb4|quD^0M_^<+@ z3GdFPgG9`Ko;W$+sdUQ_aWNMESOB_g24baTJnW8#nlxlnqt1lum7UE zk6PQ#4Ll#rU%Ak<(!O?b%1-9@MwLb`7-_%g#m0Q8EFiYNc8X>n0)~3d%#nf=&iR>F5NEQOm#El(qQJau-Z(?FQxyUaP?59Rr7VFa zYlN%IpSLc7{QopPBvEbdw-Y%GaQS1p5R}PZI}CYPx?AGlt<4OJ{~SXlnefUdF_#HL zZEGpk@Vss}ex1+GDA{bQr_CvdY)T3&GcXhhVL6{Q0^N|vpY#9$J-eIhs&6UYF^B z@ZWzhxY5#~DtJ=w*xYH7*nXmUUmn5NXUeux6Cjut_b27ubKl~x-!*YB8Ic|ye?;20 z&K4(#$Ef)|v;v11Yz%_z(NKXXfZq5;!63hpKAuuYakBAI$bQ^PJpfxH?`;6GlhoDz zpPuF7V{>%XbFDXNU1AOhy)()9;4~q)!1c%5_qt*l`>b2II1xO3uH@_;i@lK*j zy)^hy@*n?!J%yW6bOW;aiH7A1x$eqqr58Wg+M!jUvzns~9xNE|(4@}79sEaZ<7bDu z@Z#6Vjs8)x6u*JpAujsx*&nSZ)Q~TtRLhtQ_2ttigd8kTRE{m;zBeIi72S3LXm*+3 zMMKNm3xW5)Vwm2)I-JN=I?RKZZ{7X**3i$Wy!+o4Qq>eWP;uG{$1A&~UQp8q;lgig zA}E*|;MX^RC|)4aAbOQiJp&x|np& zU`5}@Yap@%p&s;8eZ6ROLaQa+CA3_%klbv)4X7}s5ILmNkW4s^jtBcHDR3~3Ts|>7 zo#ZLj#yNEWXS1w`vw5I^Oqjb)0bJ4nH`79*dZ$VERf+9n(XE9DxQV3_L~bjD^^2)!=UZrR(c;4qTr_&G)er6DRggkM>vTXD z>wdfO9wbP{NBs%dsOU3=y_Q@gXfu}5-{$+kXV^}{P-x7UD9<;s^YyAkVo^~K7IZvb zlTpangDd6l$I+Ls?)&iV7G=5Vy6K5f(D5Zs`7vplWTVkkf`o=e@)`QBdW$@6<3oo1bKe8nhG?vjoy8nN+;m;UH_|CJJ5!YCzu=R9y>pN{!Zgy6 zL*Ja>F%B1qy15ekfC_jrkoB|kcKqjW`@hLjQ1Z~lR-*!t)h%)#OOObvXt6R@s z=l)^BS3yv>|0w1UUYHfyFRxp8X3I>6oJSAW%1&Ee(gt#`kfbz3|C!iR&`A{1#xnju z6@e$FZ~WY;~ac8^H%e1ST`@W1N$}gRYKJ9#+g5Q9ETz^oVn^*`nRhq%bYGfk}Tni zt5GUTBXW@gb{TYz%V*LPA>Q&k36kG!)BHm6TIU3o{1u?rCE+1yECclD=kZwbdwT}P zxz(zHHWDZ;+^Us1Z%)h~GH1d6YD^#eN8TJX)P?$VDiM5Z(>l1GHzY^zdP@Hv_HCgIs41a0GZtPq_F12|g zA*R=@7X~{}`hrUvn%LWOlI`BF6q3^9o8`V1$Ll7(G&Jq^%Em2T*=TsYW~#NF@bA;% zg#)=RKcig^z(Fmm!QY_~#F~~lXu3t(1W6BCgDl-Y)8H0M%D>x|nxIy3jBkPd>}OW{ z#7*t3Hp_dL^`pI1tuk8QH67`8!_%yp8JAuzSsH&gTXqzgM#iiL_Z|5&b40qMbi=k(AAX$0*0s3cYM zo08v9Ie=m^k)~e(N)+Au#kO;UF&e+PXd}NL=?ssL%{7CF<{(PEKx6Y>GwsF7JbTv z0yni}Gz0Kmy^?USZKT}YKcFHA;L$#GhagWHst+1E$90{y;RLKjTa1#igR-8_Y9Ym4 z7lt^*WHW=-Sg&yr7FuT(^-ih3UA|ohd+=dAS zU0N9AiCZdk;M>THygDSvHI+0OUpi!cu{_P>gWU+X2oLGNcHqC9#18j=yCD(vmwRxJ zq0r2K8;8t>>8xHUtY>UGT7aViXIPh-$dYjRaZypzpWAz3be^+{Kw$-XIlQ@%$_&1m zgaBKqmpkGeaZxqS8{@2gFsYAS7d8j_&~Sb-hkR@JZiLxTT{U<}GZm;aUIdT5ILsEf zW^O)dHKY#Zls79PS}iT%u#;yT6306RC>Jtz(YVCvSX@AJA4(gYDr=;$^$V`i7 zTivL`TNGDcz4>=%q(9^G%dKD^x?4i4D($w+@4AwZ^~TENRQ+W04!oP8As~5*#a&vO3TnAJGbwZtvaxk@HKf(K4<6AE^q@LBD+AfnVRlvit05?A z3n=(lz$oB1FS|y-0KP=OWih8h5Nlcpdh|)G)I9ZrYYtIeXsGCh*RIB^`{H)v@+^)| zx^J2mzx);rscjv1z&}`r8Rv*9s{AfsS0;Fvc%SMW$D2E7>U7X18*F_RrxC}uFQ(=8 zMWE?I{&{E%YMy#@{@T6H3TTd2W^U0bV9=OOB8PW_9VVUNdIIQp9@AT2+dY9}hv$2y zbJ1Y})+BcvbnIQ-0cFuC-QQ|5@p2pB61nf_;5ZHiE=rCH{<&^vGfYrw?AoXMb+3Lx zCD16H@SkKQIu&SaKL5jeE;lcRv)U4jn&*048?ozgA$ft$K0Jx(=le}9U;&W;=vz2P z$nF3m$*tT|ychg3_DWKWFS|k%wh_)F?NZ_!;8@+Y{xT=Q6OJj z8vdl8UPnx~n`oBMZa>S_LyEPnphGjCJG+4wVXp}IUBh4Tc3kx8`>%9tLovNv@?wQ! z2MT(&v{ECW*<9F!;*mdNEo{?yEa{wpYWz+2Gye2@c+i4#s_U*+4Nn;`2I8L)jto>0 z>`sQ$f5A((MY6k!;-*4T%WpPkou+t9bV1ag4E#|9MdD@#ESmYwUmD_kE!jil-LakB z@l^=#jxNeMeDzo4u%wu>gfTg5#SaR7rvuh(-_)}UEmBvCmm#9>ME)Zq&I>F$3c07B zbOhhVyW;Qw(-8AR119r@z&@Ub+Zq zaCZIMZTGKnIP9ep!{vg>f5V|sf_0XK_jYE8({ceso?B$&ukY=T(;o%XQ5Oj=-X+S? z6*?ZL>ZWUJy(k#`wL1TDLe=TW0(b7F3!(MY*jCEveQxa_%^ftOT79pRUL!T1yWY(k zVLpDcd?}JD<-C$wxf};|96}rgzBcF;C=d(ozeo&7EzeOyLJqB9ZWNpTXN~FOL!0$( z1Ujj^+)bx?V|5GhioiKUv1EG#}mS?#!OxTT}C;U!#fI}iF zoO&CdKUnd*$R>kA^AkPfNjK14VaP&Id)i9IdA;4~q$Il7Qh>kqaIcB-R^66%28|u0 zgidasXGEKvNx=!^fW^8HukS%rg4`*%ujM=5Cq4)ebpHX2zt44+D2Iz>ij7h8 z$rH6ycyWSLOAJKaqLiGRfR3{k&~d861ecjIr{fi|HL?XuC&OPABHtZVepkFKSCzxX zbq5v_N_Dj)csz0i5vf|XETL1?>p+?SfK-N9)P7IF`wBf?ALmDM7938rfJ|$CIZ*C> ziS~Vlh~NBz_T6>~kjc9ld@65xhOC@foHa4;X6qIMMopJB1ne~f=*XPj*&tjV2v9~Fg(E37(xd+n>S=o zdUe)Wii=*|Bu)u1skou}4mw#ztl>QC=02d~zSZ4<)e;%M?}c8z`ixqA%!4`MB>Zjn z8=TLFbo?y?7RnNVXvAJRxeYNg3#l= zSNQS!DQ>U3hwv)fnju%>9yMTpe$jSFmRj`hy8FenJbr2FU_J}9aj*7`DDERFb!hKd zSgLX3hs&q|6G3fl4da(G)3i}{>%JC`hv3cfA7;Nkm&#u8S#*AV*)3>vNr@>lEmx85 zkHwArnw!)(kZ66nNd5@Oi7>g@T@@7qb_a4a-uI{AkTm(Z;Z!lNW`F2$p_aT*9SimM zAD(h#N0zuuu7GRo8cO`w>FsxB2#8_a#Cz?)U@6Uux$hRHhU7dtZ(u>&5yH;ClIEW; zydTY8#zw_aQOme|!@SfLbqZ@TQl05#0`rSKJ`4@f9G9)<-Q~1GL4d% zN+D%!^?Ys>>l~>!Yjl0>q?)wTbgoYiY3C`CuoWt%M8fx@u&Rhb@Q1(jzXX3)R*uTZ zlD~cHKomE4mXI1lbs2!8-}f}i?oTdyv)6ImmEk2hWT79X)e)LAz^6QPUH+*&he1wB z$=eO(!J1tCG&u;jv?rev{rxBD_oSXg66R@hD;2`_Q8x0f+EwRK7H8PCkOXe-YC8e9?D8;xn zlP&8>y3mx`i}Dz7&QlQx-x?MUCJ=tV#USo9PC@0lWHsp!TWSf{HNli||LU|BX+D3k z2mnOuZ3_z*I3qc38Ik7jrL!~;SA3fcG{q$V_cI$%VGEVlN23(i2$lt?3hPF#a?SoL zsJhl0*%r}qRyiIj5tF47VuP?kJ+t2X zA+CK2>wxoN)ct2W+dym;B%>b8Y|Br>7&cVJM_4`{vYDGaun44o&J%{u>dl{<1r3_7 zSinQ8HUR$-5$ggkf%_R)R9r%aC@c@z_~Occ(n+mbnA2zh^7@Xx{BG^BJe5?|a_Rsx z+%*{0rXD}c);0ZbPuGjPEOnrUZpee#83A+~4I>Ph8QupbIX$J`__2+` zZ1Z9EeJU~*E&?Xs5OH;jc+PrZnYF)#Q^GF7WPFx{OAEHh-;KP$>P=FAGEowaTzvZ> zev^xn$LX2+^+%H5U`MhyW=n;!&C; zQEgk|_vm$E->2Jx7RFw|oA|<(>YntaN-v2AV=u-==$jT&*Zsl;^5BUS9Rd_(BDA^4 z!OCjosKV@RV+EiH0lFwiPY$A=5gF8jODVaun#Y&3L1>eDUl!T(VqR=BM=0ICl9m?;UlNUDlV`BYY1sqMKKSdS+ZHoc`&oe)ISF)GJskT5m1LXD zScb>e)|yyT&@$GDtuIZ-2uOeB?hqC4C%0R+Br6~C`!CI3jjwjdpQ8#(Yzr+(Trzmg z=qi@ucK)SQ^!Rfzta&^7T&;l^nvn5%&Xds0H4fD+u!jzxpPy&X6@QCZUX- z_$rp_v-#V48GVNLBPjHT|wFTN}I#IA)$?*2Dn-SXId+_ZB*u0 z4LvL&m$l9GG(z7zSyS1gX@LUHs=23?Kv@O(@jh zEy}J9*MPKimvpx@f({5sryw2D-5@bFb)$CSgIz!VVqq~&=NV%?-kHJ!dQ^-()O*<$LEi&N z7+oowsgnC18{yugy!Q+DqT+vwe*rJs{!mSIxdtf3Tz~wg>E9Rfy|xGrZFCR*Kmn_~ z@E6Z4%ny$L@>*8)^Zq^1Fz3ymlaNEDb;iu8QuiCWC}XtP=iU|-D)|`!rxPJ^FRZ6M zhMOHer#Hdq%N@+E()>_hYr2}hyTN3bfONd-46sr5`-;RhZAp;NQv!KFXJq6g+dy)G z?E4f`-F15#55WA!trB)@tO2}=SjM1KgJMG3hlYLRS9rF5w7tOdYcU?09kxKhsm;DE zy!2p=pdS={)+=rVzSoHfzxjx7qeO<#6O`~i;fX0YzZ5NP7tz2<5QS2QIuI{=muFG< zIG|Rnx#L&s_3ImMIB(E{Z%}#xs@}cH6WjL+Zd<;f1>j0`4Q(o-DK&{wz8qA=SmLs5 zY}pOYy`0gv$(2KNU4P}h_ixzv_|Yi(XM0OD+u*MVL{mtX+L!BM!C_IsbsG`oQ`p1? zT-@OUA7$*A7dGXLz0KNerfPoVlYFC?3D(V)Rr=(z&}Ywg0KAShok0xQeQfke6Z%l| z`LB9ggph-wO9_QRl4LX2e=GTAtq+;{VmS3898q?c{qlQaH~1;{>2u@P6!Z!8U#*)# zvG)`$^2@snH)Y04h>-20wpZfa5dhxK-6M6SuDVL%0&=l;;q4u@^R-OQ%PID8mHf7qmyILr?7pLB{vDxsPheIaohX!WY}!aGMV#)r#gh^ zo6`XL*ygN^2)EQ+vNxo;w{Oi9vwLY!x}zUCe|f1VWI$j0Oapj!WD@xPoYVby6q%A7@p*kk4HC2EzBGNnYuD}YT7GK|p{DARD6jA(88aFSrxgoiwgdvA6w$aHI-wDWzZ zi12}-<)fz;NEyN(%ky80Xw)|rZ127VjFY>vfJL>CdiKR{dXAZv6U9a}*1lRWx8dhN z)GxIATw;Duejn5^^5usRh<)uIQjv-26@_TaSMTPL=Bw7sE+&WLpu?lSjR3W>^f#@C!d8s4#I(4rv)A zGn}~=cJwct0Hp33u@0ZTs-5ocuKklwN3DcXKK;-6-%Ie1JBj5_U=kISX5$|fxP^9P zVT74UM&0+KWH0>`q6W~Hi=?eIxkH3&-J3j%e3bA5P3(lIS<=(VLf7xFtO;3cinR{4 zeu`!%Q>-DWP0DZ=s>U7BLB!+flDY=+;#4z+HT%)_C|@M@{gn(7 z(Tf!2kj0p&haEIV)(WEWeihwRgV*_xgP2Iee+0FHC7PR(eI%Vr5xx4b%hGOIwPK(p zM|@1QD+z;iMjNAon>N#%l(d0isliJ57~$P3K&&OZUm#d%3t@mDRF03_$w2N@OcggL zT<$hK<}^kEi+P<@;SBZ}^1-J-*%FpQhScZfQM%1f2M1)CK0WSXk>{yP| z5o$87+O|*v`gF_Wdr?JHr=I&3xRd21-I5-P$qRmz0X5?qd>mt9r#Rzo{oU1IronVW z<^N1!=uEeu^YEB7VCHp(?Zhop2CwNSL^3Xs>p7?RR$w0^?SFDGurd>f2#eyy~)L1&7AH+_~)?3Dnn$H{Cz zml?{ZE!h40zOVr-l*e6>$2kcbQeI7t!rJZH=ux5uAygZuUz#?_7QwHV^9Zb?~@2*_um7HBk{|(06Nc z6cN4kh8ac?%{-YdyQH9_@5b>wn;RW@!U&IiV(6MZs%(B2wI*hKquNJl`O(x4(Kio7 z=4Oa`*0-n_55*f4&)%*2VG8Awl*()1L~edF9B0U;>EOL?%}ipA+Mlkl%6%MWcF57G zms#z%t@LW;dw|d5xadLmJae}Tc+BHZqEdfZg5-@Y*3U|i4mR*k;}kPAts>Eqw~|$T z#|)*vverIPJUEkO+wEf#J@uQS*_d%h#@QrtC3zHDXqk-E8w)R}sRm=S?Cm{%n(NA3 z2~ja2iOs)&(!A_$mw&rDoHI`Q~yw3q#Daz7M<6xciU_qZx zt>JL{3Sf2HUl5jiwTj(SS?xln&4CBolk9cWC9v}jUkOtX_VLA{JqU48p7M2y{&!0< zPBOMe;3L=mI9&-n@)E3)I`Mb1mF<2#oTP13bMXs`L313uis$6}a;mumoRm<(gj*Ub z+yzL?962e+Q|d>vd9Q2wa{%eHRCpb*7TS6b|M1khYnp@5_0_A8W$8{!J75kz8XhU! ztF0o2d}^f&vXv^LT!pp08KkXJ&C4b1|Kc)c<;00F&&*Fqj3agx?KLgGHnnNVLBP0d z%tv;J)8R<;#1q$P)u3np(@D8I3HLpVy_3c#mW9u1Sa){-N%hk^ZIorP0z7GZ%w<`A z!+OYI&_Vm^+p&3vv1G`Cc^5e0SaG4=)7TS=@yhG!Nv>Ept?o3j34g?I3IZy7@p3k{kx0xtNo{F4UqBJGos&=X@i_S}31z z;koWMtcd_gl`CiP5@k6kuT2$y^78O9-$tBuK#utmK38V%ptpZn;D|WZF-b3BEXA85 zV2dn)R5_++0P}}TY=vAn?2X}XHjakOB4-|Cd7e-38jmI~3mn4a=jwhTnq`r z>)XIS*TeH)235`dBW)%{s-c|%7MQcIJI!tyClsYBMY@c!pEFu|b`O|B(Tj>t&H>nq zi&orRKITWP21lG;Wf2|UF4Yiu%hH+N#Nkam$g&|6!#q{N#=PGfh97VImlV)A_M?JDK)buN`?+$QY-9adwpdZ=$e}bZXtUGl6XZ5l}6K4Gj zoa(Ha|DOc_e0Q#Zn8z(|2(-Dr=a6}J4+NSIX2b{TpFP#z6O9zYu4|DtMOznF*Ocjh zYz{R_r)sm~q(|yGCIp@#+LkEMg*v620bX2s$S&pBU0^u!>(b0ghmSjl`C7~!I49g= zTjMcnaPVdg$ioy4umbHB91-V`U*1qw-G;jjF{BOk(s0Efruv9_4z1w;|1D&CdAAbd zDjG!;#bBvUg?%$A)DUSR@uRCXSwbf<{+8)wGiv0Pc8N7HGmHLQTp~(Geue!XBbhm2 zs6_P4$c!BHA;lZ;m(8k^i>%z0+`QwwysVmJ?~cxnlLJ4U1!#wo&d^(&&{rEuxwf{I zGI5&j6xlOdO$@HTvAEF22t}EL3HInK*S`qVwDEOo?ZWrtDe`OiR$|`7h&#`{yK(!z zZ0!ai`>4j9Ry0a?DuY5)MPF1WAK0tuzBl#!8 z5SSMUHmNRB(QD;yXMLMaYxn1G=f)lmHxCf-)buZ|W+`c*2pV`sSo2kc1K>%T>RABQ zi{6FO^;0Ey^ZXmV8SGa@X^GscLtp<`o|f;aO3(An9!ngoxFA6vO~^%8<2zW84humu zoZ@?!h)lD!mC4(GcXBCd!Qha&G|LLO(uPvjeSWb}SPO{-KV5EfR1)I3|*d z`%V`vcW)RyPf1(~t()_{vr#+mk1U7nUFk%A!u~Q!1(Yrfu&zbr$j z*%n@T3G3*_nRXP7K+5cWKFi)-bP5uOUIaA1fit5v%kbC6y|#}6^;2bS;jH@b!$xw7 zZ?MW`o-iiRZ|d+n2|E-kQ+#_A?$krc;)!e5b4)6kHj3H8J3^|bW9DhEDkOg}{U#ZI zr8^j|mb4M+pTpQ075&qtADWY^jGS7JT!cC*B^8des>={AXLeP2Kflc@pi%e=QjC6= zYGU%J4I~QQv@=m@%HT%qMSNsQa7dUXMQ{un!;G;_-}~KuzcY{F*EMpJ^BCu8&8%rz z9fSOnxA}=MGMP*%_mX%1h{UofEnB`#Hw;lLU+?g}Lygb;$Zt8pwZlg(jdHd(@5O8- z9!H&(ZnH~$#Kmw)+Lz=Yhbm3OEI4E~!ID?Re!e_@qzYn!4g<)?Q*PH8*~Z~Y zKgZj?RD~O}XFs#5keg{?iJ7+IF(XA_>?ORT&tQ%O^IboBee_zQ|7@%o_a5GWZc^X8 z4C8A8p?Xp^Lfd%?O4t1ys*i@Zo~FJ{co)gXYcJ-KoVugq0W*!d%pY{V z>ZecZk<(d=OzG2&x?wvN7Ki^+VB=3M@Ldd^6@#;NDtrl}9S6!Y-aOdLqTIp@`EU;{ zwrQs+;IjEkal{rc+(b6g=43UJzdcMEkOVS^L0`mm+ung%3~~0Hi3MGm@#KCTVDFF{ zahEA*PM7(m1lx+v!7U5NF=1^tMF%a)=6#M*3eRh`3Y|Z^mW-E-d=JvjZjim zAO>k2(s`k)G+y&bhvR%8?h*q^E2V={oS9~gh|ST`VlfsP2W-41z+xpT<8y+txh>z0 zz7a)t092{qqRAO6o_vhf6d+5y1i$;IZ_)!vtyjyA9i^S{x3SiNY`~%X!lAnZqKe`jfzK zsv+q$LSWztHj#$vlKN|W9zn@dY`;njT8|^3u=(djmE@mrRwpm)IwAe*{z$}i;1D)Z z@x~PscvMf=ce^L#=4(H~8)1m%!5LR}i-}kc{BjoF?|--7Z7I7NOv;rwdY9Wl9%oZv zfz|XEI6UZZ=&S`*pX8s{2-k}WmoWlrcbfl}Wa-fuFxHLUK>c1zRDy@g;ha-j4%=6M zzdr_g{&MQbFr~?2%+wT$Q-WbpW%PCEYsKG&uXGnz3z+a+txdVtVul5QJyIytA!3gZ z&2K?6-^q2+abzvM>;)|$dku`U+U0$&QpgjJ+|jei+fwU^9aNUKduS4abOjG=UL43a zhVhR=(8T^(7=?k`i~pM=5+lt-9U6r-^mmb=od`g+2>59FvdO3(WxWVXNNUR=HY2tswjtb?0jY>p+fhY!$v^p-66tBB7~TR3w1=+$KG@w`zO=wd9Xxi zj2v|7^N#2<>qCytKr@i2>N7pdT9pX#omGsGKQzOlxt$TwwFJ8h3UtJ{YuOu~Y;-2* zx4C{@A-QZA=bgj&bGK+{eKKEhJTWL`ya)sIn6?xL3^p+noC7&~8P11MVn2-3pqADd zo)Ufcn=~jRz14R={c-Y+z_Ee3GAPGJiOlBCWu z?^fXb+oi8l6Zq6~If6Dd@apS~>eN~Te%qMqv;19q2Pdx$Dcv-ajKj{LJ35NMj78HL z0lvKQ5bgP)^0;s5vN$f(|JgM7cua<7b z1DgZ{jIU_w|G|d_L90R5*)sRSb$gmmr*&Ea&13MP0&r{Oc$t&OKNrQ4xf3B`onL=W z@94H*`5o6PNsd&2LP40GamjI1%p6^>X_HD4brQw$Z&}ZXaT;oz*d_`8gEWM*rz~J8 z0HG~7zer224|sCt>Sy&8*HOw{wi=MI7xXyi5cxq>OK>vj#hONZdONK)n5&DoAfq6I z@(ZRM#T!OlrAI5^W>%7Ns?5rbTnCRwI|(omdMqiTN<*KxM1aL?!-m@Ej- zhmGYD$Es)s^BE`)2)DfK(~78`N#0nka5#&<`MgBv*6;T74@~Bz>f27oJ-H18I>yD9 z{khu^X5_fiU=^}V!Jer!whEWOF6%46FsMZ>+=ys|-B6z_04VJ>e(HtrH4&J(#Kd)Hb z|1hm4g!>kT_}Q1puI78{yiNcE;$y4hz138qx-8-_F8QI~wk^Fg#$R*(QI+iP#p6+w z5a<`rFPOLv^*K9+WPhZr)gdAiz>~Ci@7%sNk9$C1I|8HyWq_KANKv`VG|%x>>6>LK z?LBLqd^H(LBZcu@(V(U~q-YUbNA@>~UapFpZ0dQAh=`>PPpKJncl%d8+Z8QA1U$-? z-^7=yfQL!4iBxT$`-w3;169^h{hYt-ZH9Jx%EvRIfJ!GU**m&et<@hob-*k#W%oGE zw#{37zii8y>{|7h?`V@nLPj{5a9)%{{P(vSg0?dS%lGx3$69M-!e$@R(!3PYZh7|j%=Rg|VR5*#_xM&c> zCqrj0$)g@T4WP4XhL(wtkN@{rGngq&%k7B>jx_b*G6ww_=bA3s!n~4&+{{w&1W?Bf zyjYxncANS2v2TtXGeIky2Zc4uaap+#yhZa;l_=ZyG3GDKB zamN=^RU-WC8xCER*(YEYw7vFXVC-Km8tqYz+TutVz70Wwn5V@Tng-q}CtsS@1N*P+ zOknLVjdJZ&B(MBB7!u4#3t7ox54Qw8DX&Qo10d_Da z9Ypj4+#*E}^GGTfX{Fs)hv^36&12tYjkH94)v4z^2GKm#iFv+Htnya$jhz&GDZOS$ zvj=KI;Jp5Wd`=RaGK2X;bxjt+d{-D#CFi=4iY3dIL)GsMR~clW%dQ@Wz%TQR=CP*K zHT#&z2FzVwrb8U8-P-xP3+ug_t5>O9I*XgHPp|!-ioT+IXbDriE$P`Gbe%W11vEPX zKW~|a89P@hW|JlANh&@@KB7iF?hS!R5tL&S6v6Lu(+H)X3j%Nf%tWZ~vJh^E5yXBq z$7~(dXEd3Gh+rfw<*_VOTN|;mdvNEJkd+cffnBQVwYZj)+l5wQI4ex{XBYl)%friM z7L*o#hakYFUdBO8&);C}r4h(}gI``1sYV&}YU0^yTPA*LM+V2VPENd7nusqeSHI%s z7_YPV$oQDH6CeB1sgo|{y9XdT9`cLdhB#zgCd6@s1Oy(LmW_Eay(AM2Z>epb0o&r< zADO@RzbC0DKiLu|-&4AB=^kxg&JOWoA8R@^p9|}Ru@UDYSM<}lo~heQquApeJOBoL zwuiqXs!x~wYlP6o$$#_1luXVy$4Q+{Lxl%Ie{)Y|b}*N>?ICoBE)10XAt3=N z$#6u|_*LewPxcU;Lz1@v z8+3lD)}C~;j5%xamOPdO-d z&X=zE?r15C0g>A_C}uDuY`w&a&v!#xkmY9A^fJEw5;P^=L+X@9YVeT29)0tTn*JZY zP=>tfE|4Hmsa-RJ7O=m2u$6dU*1bR#M1>*5xD=1MdADO%z=|tvx1dI2AsQUjAU~h zRaZ(KXsk*7er2|%7_6ocXE=;=j_sK$9X9LDmA1kjc=C~GWC3^^qT}=$d8#}TO8Dx~ zrELdY(2)mq;+wqash{1qa97_BpL*QP;TA=gKjOIUmND<_1SKw0)q1*$0`D8Shldf&k_ z01c3|R1k?`GxGhx1jtb$Em_*_TWC>^A7mA$#%SMcx(1GgM)TgoiqZG!rnObC!6exq zrt>%DryrrUfoGv{(LyQOAImmGl_(Ws@+_ZAeKqgnOBI26vF}h4$u%7if|V%<@2`#! z_xL7>Q3_{GaF*O--;2Tp|300#wflSJ_UeP9*-NYFxB4}L&W32(S5QNYeD*7%V5>L~ zDp999;oHEcXg;*S_oti^4)OTIOXccV^Chrc>K{KqC!e3=6uoKz_Bi4K6u zD-R|Iwi^3?cZ`aN%RhcfS+RShDT#&(2DdOIM_pZ=P%`w+@Ki@I*Fd{Gi!lB8AZaLmaCE|MxePR6n-DHD zkxDpr^V27*zi61R;rhmf|HT4BHAVex{c+oUib$=wRgZlP%al)NSi9SAwM-o*L zSN~o`$(zge7utJoaj30)L7%@<1C@&bGPw5D)G=_cK3(Cs`kJjz_SGw_vm`bv7VY9> zomngCtF#k+1ZSF=HZzqwA_rFB*v~_0tb?5#N7Jn|Sb4K_f=&MpK6(vm<9R^!%sxhV ztlF0u!4^kjA$sHXK}%J#2cU&Rc0{+`u1?lV*_3-5?!4(0=7&-3X+t;uuv zm*S2RkB9P+YGw{ZUay1;@C(#jTz_USd8XrWI4}r-h+me+qJlBc>v-8O-pL-Wm@fWE zpaXo6CaOMaxYvDa_F8Qxb@ARZ!1j78urN#XNEQO%bM5A%629@OXjodCMypqy~o> z3GHAKAVAOfHFXs}T6YQ`AJ904Yz@t#R(ZP3Qa>TGac5Lyca^$HS*o`9>lHm&;acP! zEpxb-GOnSPtM1r4RxI^jN=EpxogIk18(^}y_e?!(CkHw#(NNpMZuOY^$Kl}&^FqAfj(oyR!_Y@DZz>30f?MCl~+(=50iVsr5Knex) z>%{0^J628Yi1r7*yb%~_W^fW;n?`&WQh+l<&-`J&aRKRaff|K)iJ?VSCx$1%h> zy3)mUQTpBolRsFcq+)X!270O-bxhcrG{Gr91cmTp@Yvu!I}Lxv;r83iepdz<}I%}3p=0Phk1YHgJkL|TryJPy)4n-=j|GBBrG z$uUwoc~cywdu2=A1_q&xr)DZrIKmw-cc}wjbVq#=?-J-X#g;7X9{5kpO8J6l%~E{u zA5kXvs9#cVUH`O2jyAJ~1_py0&6_v;NtXy=!J#hbIZfaHyjgXtJ1~OmVV5(XA6*uQ zMogn6V+52jB|MKN&-F2etHKjgiNwAqIY;boHH{pSE{m?X6h4C{)<`gc680SlewY93 zpuwoVsw7pw@fmYs5nO<6@{LxVb8A0iy)$|wUJs2_SvrZgBaT)G&*)+k1pM_QqM$u$ z8Ybke_TFssDRzE05d}Q<;$P85b{F{ULgQ)a!FgeXJk;+KJ|?6mc(DGOw=K6>$hOg9#;~@54k{EqjRH96(a^Y<{}TeqHSsE4iuGUaGee zV!l6*ZO@-<{}B+aeF4UBUgGdl#Q5p7U4Ibn@cP7qU%s?jRBs#Vks`~HNZ!+*Uf`(i ztTJ@)&F9>;o`kNBQ;CORQTBSvs8XdOD)B1)(UuC_|FUuLKrw}`_U~Ba4jY}k?Q6}gHpaPn4Vm??vnii8^3P~UKgB%y&zyz<*PYa z=7fTn;c1x#O6aM=uw<+|G=>lXoWU1(t&_MWbV*MB6?MYgdULa`$2vwOV(Cch`ypwA znb@m_YUY6Rg&Pl!qPeUrnP^ImAc~7e{YKOd)h?>%hrEN7B1@qjiI5E?rDL~*4VzY`R-9);}F2h zYNYpG$N$7g5Ndikp8`UhrP5g}oDM3)VCXCl?= z_WG+mGX|&|nDVO>hi_G->W64k4vAB9Zc8m`a2uLc3jzw2?bR1;W;@vJpfFKl37 zWpPZwnTF-OQiY_8kSN=wyWRI>3+`;% z7U_N~N9_|cHDdq0TS@W1@V$gSW{LbWyCeP}*OP=!hLk?%oDw7uQDsu0bHs`#RFvv? ziRra+y(&T0{JB>PPN?nb!KU#`VGlJRUdd8O^%gcZt~5`ECI!wNT~!P*SNIVra($e20^RQSiRTYZD%LOZbwi0e9D| zp?j;}Y`ALLUyNz0nYRgq2mY6aWyXoDvfJ?9UsC1Aa^R~;Ur-!y4}#5Lx>j8r4fB}= ze}bq!*X30iVU_2OyNI1n@$A+$qy@9HJ>hRQSdC>OBxG#Lp=rb+>F;2bvG~*ti@?Rl zl;-522(o&3n~IXoGcZRI_P7^WWi5a()E~cxSEn7}2jEd7j*(9t6w<0N%t2wrEH=&? z2usA#CFhpk5~yhF&7J}7Nw2Ac6xoIduP2r?GV>Y+u}}-HlT2a)>tb)dKOHNKHVsL3 zH`Xb*}k%qEs+}k_HS}3UapD?hn14Y;z&_T zqA(9FkO8Yaa;)jNtHt$hK{vaqt{dGJNgb(m2{b89`TliX(fq;Y>+x`#*}3+kmLD{Q zM+ThX1vWcgBuW>5eyjM9@#OkDkB>0;Z9YD3h)A{HuwRb(83xYi(|!+a{)iiCgZBE% z&#XGQqz}%VSr3FY+cBBA_j>;LLk?Zm z5+n+j5Nb2Wgg7OWsaBWTasE{rfQx21)V2>9dGO@*kG5Is?lZ z&E>S?U!P<}eTMrjZYrJ;44j~@-@jrRCxdB<>!Batej8sS zH6n~`KmUU$(*#`gBCmU@e+-%%{7W%Y)KXBiFtlBj)P~8kDqb|#{`&O9><4jL`Bc$S zAu!yz@dxXBEZ(9b%4b|L8Brf>#7m6LRGiiQcW?R&EZW-)?e5aC3}Rs`y`%p$^R680 z3K86;TlGNd2>GX*E;=wX^Tq1b!i1J#4Juz>rjxM~I)hOQ?@hP8>$&e3s?VUHOSsnk ztna5b1RVpTO8d)PM((#wUu4TZ@rQMfuv7cI{d>T#x>?>e$mbUrfMHHN4JCj6`E0{nNjZe*L94!vMPa+Zypqd3f zLaJhJt>Zv3)r)+U|MWz<^Ic&8AcQFq`^3}@;ZwVMRge!n9A{5WU)5)C{Fw}7RbzD? zAJ1@Ff9?*bBw}BNr3~l=LQUNcNS}N98#H|j%$8w$N<)*XB^5+Jx_GveofQaFiFJtv zR99@p^y)_K4#*#t7b4y|QuID+?H^C%F3qUlO z@f~dGU&2Z<($)pH-A@sALrxZA9OiDMbCaJPF7QpbFPtyXA{k2OZ`dm5|8)Lm?<+cJP~e&BP3zHge& z#I)||oBY5D1c}(;i{4kXMzdZNLF?f+ldmxuf0S0>s|y1m{d5x_5LfK~d3gkV zuIy*mqVqBU%qporI#9?KKJvl}--hapTPnl}|JOqx8JXMXD4@b6xduzM{W%VX3y9F9Rc1lLSLav#lWED=PlCox0%27IN9%B7XH z#*(D=Kp^DKb^TW=op6MxxHs6hD$MRL1wUX2vYP=)?N0Q3tFYI8l$Syu_g@L*pBFvi z)WYQf#a+r?bN-_mD)cODQ>23jXYBAS>EC8^ZQqcQ{?={-QpvG(*h&Jev5R5S~ct2=# zb_s-cQVLiq#N%kSkF3H|eDm#Y|~M&jUZy$KWT#Bs`h%fS7SZzlPe5LY2zrywW*$7O$)#*Kfo=Z6!J5y+z9T|c_B zZqBIu;S9icg0%u_6$PNKJ;iYF+$Tz~56mm6VZ&xw+6aGsm^Nj)X?D^wd1R1C%mM=z zIaXwf8PyzapJc9ZSTa^uJKW<(#y~CK!Sf29Sc4ifSHy|xWY6E6Hg;-L_#Uo4p{@f_Lx{vpibah*B&mq|5~F)i&*~c3hA>mnf)gBUTRY}G=1w(4Nu7EF#}6E2Oj2|p4; zyU#vz8b5{GeyLrsmr#4o0C$$VC2v*L?rGz0czR8v4XDW$cc+5u(F~kW~VF+xkgg2`dnMD=Bf{_~wV0A%^HO?uFsgeMx^r#3*iS=JKEV6UAr=P@^+zi&7q|>`r)HLhRP1rZedWnhTF}d~Z zp)_LVuUr_6ySh5R{mZaxG`1r-lHuoh6pWFviEFBb=9+bMy%Y|?z^BD=VopK%+)$c? zqs`RorP#}fg+~z`&lKeH>QH~_x{c<3JT2#gMdHvHS9T*}x%L0=(1BjbS5RWbo*5i02_Qg8@gvP1kU^uJX`^@w*WdSIeO?i z=q*Za@ps(??#ktiV6D!ScG`X5=dDjxf>_;!dwAZByx02mKjg%+e&>DwRl?hI1?#%zl-#FU=;=hx z;_#_!J4G@D6A*s7JYizm9iqkgirIt-zJB?`1x#RY9O#wTbRqcBza9c=xZ#w2uy_QsX-jshw4 zwf@fckjS>-4y}leT_@OEPL!Gi zWi;5?$_QxG6Wgdprt2Ap<JIeIB7Fy>0*Hh{T z(7eFR|5`CRoP?RR5_ADyVJ?_ML~+PCDe`_?x3ycJ>rVai&m zk>Dqe&!w4R_#aTEL;2ibTeWbDr!|+(H^|_%OazQ@5FuNTqGyJ^k`;%#>|(yd$PC-M zhvzQcuvD^yUUCAP-TsHj+VTKra=krOGRc-S{$LSb$ z3xxd?LC?Z{rkfgUtCR?v-7u=wgYOYc27I%w^r%;X0&#DFYCxEt6pHz!W-On^kc}^v zPz-8y#dvRa;JF>?yK8$6W1av-yl+t5f zQ-0Jm=UsPohSVa_j7CX$>-0~?ge^s>m*~gtkp;d3JtydN=3AK&_ul@J8NG59qG`Hy z?+6iDd|P^lYO_VwHLN{MGzH3PRI+sGw?pu+uN95Ya18O+bf#rZA<}YK+ygRHCc8TA z-HaJgBHj?0W)x0c2Ah^cKZpqo*B01xA+SYgMV#1=K6=l`^E0mTY#)*nd~7ph>3tVzZhoH&XohkqhbG#^u{S?Gr-R;?HJ z2Zk=Gh~qCj$5IX5YIUI)wuwWCD)=PA6>Xj8dq~-cz`rBM9Z(KZ6xXkmW{;j=;LNqb zgV6sL$hfNqIwZL!2UzYSMs zq6M)?1GoGi{sbq>yd{sV?U~xXAy${vyi~pxS^4yc5NZey(|D+8B*1i!%yqNa@_hQH z1~}^IfhEPeZ>1Zo_Dv zI-gqS`pQh5?wPW|a9Du1|DZOc z2S0CBS6n^5R*=fkTvd+%1bS@j89<>BN`&Qw)n_xZf=-szzCb zVcy*zzSjATZ{&A=n&3W`{zFu?_+<%%RO%R(eI#P!-98b;Vdv>&F;J^bu$S_q3hUD|X8r#9~5|ao%t)m(M zdaM21J7XH`E|6*Ejxv>up3wOlmGR!REqMBl$kq&NJ{T(TP;OiSo5~bt`X}G5W5z4u zKjo+sLzV$!%ZxSlD$)PigMFAj+M1c`y;_lbvu^Z*tJBoA7wyolYlIF#o9}dwwh}`p zezh!K@bd)zj;-}HJs3JC8E`{n>xtE-v)t9YR9f21b>MPOYX^C}_Mx9zKuxVg06`ai z%!D&8m2vqJ4IE+aV|W>DEVDfQ-U%n3{PXb7S%}2Nb1H!Ja00a-xtC+}2BZVP!BJp7-G>t>1Z+K7NC_lnva9TE3u5bOZJn4}|6WoXK zVxA546{IBM=J_T5bXwSdpF=$x;PPBv?8 zDJXusZclOWv%^ai`h43f95e17I%4_3CCby zfMxqwWP^j(37hnEcab2Q{Jhd{37gx|1O$(q$?ZMN5pR?!bi+aS8oP+NFSu)Ibx zjf%;3!00YZX|tDa)bl0h4WBjq%}oM5d#hg=cH8ZiD+^yu3efmnv6j+dE6~BBM4Lye zl=`fJ6vD*}OJ9Nw?dV_T`Cq;={iukM{xepmSDE%G{Rj%7S-!{!?bL$o%FpDD%>mde z$st?s&xINfe}8Rv_tG^pA4|=iwD?Si1{g~M!z0dsBip|Y0l*uJn#o-?r`x|%Z<#Jf zhv`H`H+(GQpy~{el1Gpq7>;(H5bD+7)uD8%p#5)VqcOW_h9u(jO5%mffdAoBuaxwd z3J#l)4H#DaP{O*Qt*orfOJWp=nCjwmT;^x8@xMRgu-Zh-;*Ns$la;a2u|6T^`d_p+ zoL?bQFRDqkE1H~NNuwF`ExD|iT@2FEnU6)EW)meBB|e{d%Dy*|zpEV^Dh9=$3k<`h zB`(dCKPk3p@+(+~gbKM%*LNY%3Q9c?j&Y3$iak+Al@e^=Y6chnl*=}(OmB=e9|^@cpY~!m^FxHc zbHi6A$|3E`T?t2MP<)W&L{{vtIa9tr#b$|S+Ij!Q2T$O9xZ{8OB3tj>BmGCX!3ms* z-1Zfc_UD8q5c>9L<2K7oJ?g;USkue49FUjz z>b8A%)(^FR=fibS@mr5}zKR@8sMVH_EL!&IPtV-M4 z+Zk&)ePIOqgh=O#%}B+5-!>LD2iyZL-6h>6-5`Q2DJck& z(k;@Ugv7FRceeeVZy|u+=*@N`{vu*K; z-O~40!gZ9gK}jTC>zPOgvd7L{Go%nOXOy-0x$f;)7>!d5iYtd4EWqk!^%OO?B)^1#C@hb1ZzlS z?27+dH?W|)qv^SQp=q|lo|{kZ@(B|rx<%4o6juCl1MvM=f#Qh{<=vMs%u(*j>cWi@ zd8${RKT3Xh&Wpox{&@9|X5~NfaX;=cupK6AT0<&LYx!T3Jc|66z&eIbKbdx@@?q!K zK7xb%%zC!q`zN@X#A;OA#TaI?#6_^`S9UGkcXF$%bHZqh^uK@ zjHfI$Fr_9Rklh?2ON|}`GV!N3>4I}twOb+>5Nvs9x`E@P7`!_pTZDgAa^4eGJ7UXl zj-U8k0n)6RN*U! z-;}XsJE>!2fJ;7GxH0p~ykQAl#YJNC*lsxfiNsm`zZ_wj-uO{mbnGQA_XI*3#1+RS zuoIDVw{1~?rhTW`zZWLZ@{iSza5)m8GMiry*TE;RIO1+PRqYaiB^Rw2{A zd|@80N680bzfj1!|It(?V1rF3xkY% zgNszvYJ&=9L*d_ob@a(taa3ku2g|!D{vlnU@;f}yK_b0>$MGGO56d&7%Xiy@>)>nw z)aXS)%IA}3e_H&S@0W|yv#9QVMjIx*s(~bO;LN{&S` ztE>r=INwPglPNE#I%aT~klRzD`x0|MqX-enAAb}%L+as69OsLPcnshP*V%{pAe#3_ z2?P9oNS`Wga`Sbrv|ZjTm$F~<2|Kt`U;Uscz5$1xdF>%1-W_6lT}LyhE9>)3t6wVZ z+F13?DCmGZ@9&)29JHFCGYhW0_|Lv$ndyXHKj$-kK_QaU;a?L{`?lAbYFzBQS!~Nn z&tOU3*AX7$>H>2{%T4NYkKacwTP&XvsAo%P=tg{k&*qdJl{qY^E?#|N9h(R9f6CUv ztzgOfTuy!m)~0vPp4F+&PYU#*gJnv$_XfD0tTgv{=LFto3frpYUIhra4(W&*Zfk1R z;-fYPK8b_O^04`#+N|%M-I#rZw@IWrlem7h2f#KA^#AzN-)*jjLUu?W zr6E1#$BN2s6nB^rKE>nE%K0?Ekm=?K?&$hpMg0tF>w|@S^01lP&tR?^7wp*P^8PR_ zl~5qVCFiUEtIQL4pnfKo^_3P*4_s<#V;IkQt|?=I{gXp=kin)98JNmC08Sl44ugk@ zlh9g3IEK<6+qCT)E&{>LJ-uGHaR2jkv#fu20$ZGpEcXyx3!IEOz?BU4f2%kZ&xeEvc)M~z%M zuxZUuu-IY(dFXR^SRU*=^%Ecxa5c$y=UO2)tPXYMhQvAJTHM~td^M?G`mq^lk!X_8 zn?@8dFhzH@h(r3GrS2_|{S)zf$e3$U5 z#))q(&}M@(jTT{f8@;<9gKNxm!8{)M<0F+-K>;NL?HnL{??qt@@(WH{SY`(J_v-Qh z^OdjdS=Nz=+c9?qUJAAMH7lpGnDngI+1c6A#!hB9@bt{`jVKB<>^y41 z>Aw!q`b~DDOj>8%qjzeWqUolfghw|YS49oI=HiFqv2MVm&si$)Le@D|=Tx2kg~hKs zxLCfWYQC=`Ez1`6>Q!5?^su!<`m=B|dW?^rPhckM!s$lgEc>Il&qp=CjOYB{-iXJ4 zy^+wPPJhn)ZMJtvlAryE5=3zp8YU+`Y3&^3W}D&SG)Q#io%-bq*HnVXU}rJvgyxm` zbd?|uX1cFs3S2MhLrI2&^{p=6MfUG0Gfs?}j}GPrTKgJ9!x+l8S0t3l?8@Y=r2x7(g&^p{ctycSHI;@=MFR@~E+oJ8 zH-4qg>|RmN$M_4gsHapG$ce!1Ls=E5Ru9`lf1YX2NQste;XUUa6>zTR?}qipZa~VI zkkfGf`A6M941ZY~NJ&C;7FCCEzL%RtgPm7-JIG5fDprgap1G7W4^uhckiWw2BY()&90D`+8?B%1k3EfeTvxJV*CcyVD#z2k>^lMp5M#XsV( zn;svj_1-H!F<@J+_s@n^4R_paMSJo~Qx-8T-}kuO{656wj1wMz*}DP+v$}6o(ReO; z8Dm`-&YhrB)6*o)$w$AgAY04Hp+;QwKu1i~PM?=U3~x{V@w7DQ%+E^^dp7DR{Ft8> z;!@9~Pqx!bYx2t1@n!pMDJQY-^le>U@k%U2z3`@iqJYOcrr z^ONX(;ew&z4_1RQW6<1LMWE*909P5VA>LF7wz5Y`0~#D40e^{`J&R%r&S_pmq?d>$ zEgG%o};PQ>Y?=mhhr_meURNA|rh}&iHa6sNOh)p5^GoJETHTB+#I=~~bYH(4ok2-PB4h)Z4NQRCfeUe{H zEM}Sab+9?!bAB-}{0muWszH@Z1#PhkBL_DWI6m|=BmX}Opo~aly%{$0LhA{<S&b{f)2lA!WF74e5R^XR;fy_+l`g(c4ihJb$d->EtWG|RAr^Q86Vt;XBVM@`1)ukjkD{7<~g>pbK3l?gJLGi%VUTg-b z7+d-t9?hXefqt;))VJ_Y@Afrjr=fUIh4(xq95BYL;kxZPAhvmpJzJU4)E(M%V+&_q|lMC;D4Zi$kUSQt$ zfM#Ii)R6jbu`K-_7}=^FY<7l_uZZQh>SD-t2ckX;qKO#?AC}jR0uG(STGmaP#4%W- zVdJ}X-KKzO=IZUjsv~UCR`!Wi^Djy+q1_JTdol2$NPri_AE%y>ghfUsqo?z{-1zOlx}|iCqz#S?J|#1szmsIEE~ALZ zdeet!Z84BSnkb+(SR;M5Pqn_k$y{sq%?8qtr5naaz*3(s8#J6;kCO65j7JSnuw7Qq z5a@2Z-!s}v0pKDhoH$af?zt2vN5Dt6op~#cKf>yh)PS6zh9uQGzBHJE{c#=j32Or_ zsTCw3oyEaN}kRr8H(n-oQt(`;yVtq

wELS|x*S&CVo%yG8C zn+&e#0dmLSm~8dR+ijZCQyw}7P7QNGet9`QdzrSt`k#$1qLEX|3ZsfL z(tiVrx%9|M`>HD+4dy7b7u8@%4a)gi5@q3oqMIPo^H7D>Pp=rP8VGfs>ilXgypD7N zP-a-uf7#00E^yLP#?|th8S!^6L&MZa1dz#fMftwCYP0!Y4>*}=dX~M`{m1M}a>G({ zM3fVPM_%77^g7lKvsZq_87!w$oWFZdWX}Sf&5VuvV;#1nJnCcG26~k!6T1KjK+2c? zG4^;XNg=$)58)J`==H?ps{j@aPITgOqGM?#NcNi%>G~IJJaIj*0tjAip!`Z6*W^Qd zcKr+j?w@p1^9`pGkKf7K(pq4=pUF?YBO1%ja>()t!SL$)U4DT21t0}8fSpQy&T6Kd zoPD!J-=e=B$3zggX8bd5g#o7UMVTCU2t&afy$l> z0;RC;JIemq{Hilw-IrQuDHOs3>8%CgAt#}ov#LZ8fdMU6)aKZTb=91$Q1$Qn14luj z(bnqrb&}g==Bx$CN><27%+~IuQlqF>3gm#*jKBQ7YEtU7;k%=ZV>bQH;;sl?cKb7; zkTcW5r(geS1gPfMyJ%SuN+*Q|SG{MJ7mZW)XjQ_G{9&CcXc?*OWlqqNeX)`VL~YZROp9DQPFiR2#f16$$_Ng2-BKhbT-+2g)!20j4e6BsB4l)i}p3P9Y{D z_2Pl^;i)YO#NCKa>>t6}P=yqcFTrUaXCi&?J9ux%gmP^P*Ocj$oHAtGe8sZSE%OaNjU^%1LaW<|D33_Ldwf1@V%a zfa`S(z|XMzx%1tOOS%~4)wIi+R!cPA_yWSHO~W}*^L!77oK<5<2{+%HiSAhfv7_=w zaB34WR<&!<%=}?08?mBRpv7hmjy>Di zP2KT34)&*u9PBS>kNX}RJahdU82-pl;=$HecpMFPnxbcKOEG2z%CZlz$XW9R4C2%R zY6K>BXJ7x43F~^-R$H3Vz84+te#T9(3e)zky`#coso%h~;|WWV3aFVvgWn!a_43FE zvIaA4Z=BB42^Ei?aTtGLhD@Q~SutvQ%>s|v>v#I~Oh@#H3Kr`CK?+Immx0a$b(_B0 z;tl=*$ghi2jn`12d+sR&(ZKg|8QA?@Gneh*g&ua;fjZKui_Q`H;m6bNHbu?`%Sfjf z<&qg(p*g~JOFvd$ewLuMI}tVrOHpv|?!tKs877?=aY8Z^q7YS~na@JMHz&Zi>%kA5 zsd}dUF{}1=fT}J!%2ie#r1)O1i{Pc&=;P^_&}oO{%&6ZZoge%fDmEMCuuLc%Wub?Eugv}_Vddoe%FC7z$DSRPOVQj z5iU!8ZOJMI6vU75-for z@#+p3{kk;2o>zHQt=R&XXJ$0wOzCpBP*L$b*(`0phU}>-e)SZ#=t)!ea3KE{iTZ5n zM|x&F7y)8<-{G(ZxqWTepK#n}@c5m97C%6I$@{&q$G~#WX&1Sk$RmSypdsW5KNLY> z=H0y#eT#K@z6OnQpkH%*b6VZLXkF)$5f6S?fN%D!N5LO&89sV0I_V2r_9+W{|9#h6 zQMo^wYenCNM7?})s0w1zMqNX(YR8`!Ka|e{I;`{~1kixJEb%q(RjJ#nnY~^@FzB`z zAfKw8cUJO0@8W!_cAE3}ullNoRq6PMcW2eLo{#vPxClW$jmcutSy#4QsM@po-OYUJ z^fupox>@G`xvkMOvH{EsSva>}1AB4O&Zd6n=!?=0xnJfJ3nFGTB~4&c?z`_LTlCVX zgYZy|tkh>;p#Pu~k?0*tP>gR$0F`U~X%^<{%bd6*8A?Y9mM#1Rv<|;!F8C}UC6FZr zkej;vOb4POK~a9?V51jrv!&l+tnf6S576vR_8=~SsXYNDhOxkV$zA%+LRaTh0LNEP z_1K`MajnA#f^a3MJ)_?3tf%hKXbGK!5K|#jv{-(qIeh)DoPA&us1n)Txuq3d zv_5G3b-V1GCHfo$zV%F+xGj9D>IfR@*Bwv&u4y`HfRZC@2GpkZHkFnj*3wT-Pp)xy z;)~YXv?=gvsK=gFyu>{48cF9q(M^bZaLHe3nV_e=_!F_bt%>V^CGG%cVndYw1g$g` zi>)YV2|eNSL#^2g5aNaz^dE{z%#qxcSfrfNh8nM8fdZs`LT=Ch@F*iYX8S8Vo6N5e zoZq}niHCIhR3DW>a5&2EswU2uJX(1LS(JB%r7;Px3O89G(%F`7yk*;Jb0ii^XiXC& zegwS`KBl$4t;Ar{zOGK3An$?W`eegr46fxuSh7;jFc>5D9YE)8E^G2c6L@|fANFWm zmTr+nvDRMlj1vYkbWo|DIu<2mHm{1kX#TxyJH(UAZ_*bS$p7?R05XMh=Ovr+JDpef zeTg(kFV*bg4=$?kva|RHG@p4|SlW^L-Srlw;Txe^8Qem@htFBpXG-vnvdR> zR%Te{n*Z0#?Km(hRH{=vnsVqp2)rwoQ3xI>CVi@E+zhkLo?6cOhLuCb2$ib9+PPPL z=2L*{tfVSITy(%7gT1z8h6z=}^IQ6y{B}%I_(wLfbw^v+wV!+xfq4`!lO5YPU@F5n z@!D$*JzyUf!pkxbjcF9m_TQ%2`yMYX1c9%H%JH9{)-Ipe(ycHAZRAvSnwCPPZddKr zypOMG;lLNVW6}J3?C8+-yr?_|p&-Nf(_|ZBplolkBwvt$DS-p~kubRLBXUVP!)r6P&Qo(B$Ur!Y8rB_(1|PiL##uOgiU!+nR}JA&m8B5HHp z3dlS!xJmZvf2O$e!QK{3sl(SJ!%pqEeODJ{rYc zVXYzY!*;D{CB#X4|ishmh%eJjhq&*QV8huYB99$PbFub1dcBsXJBn(qff44 zK{%b*>w;uJ9kK`b_mnIE_MEd5fz%yiZ*!XiWcBd|m5z6>iBwZSeEsux9}+=}KDV=P z;TgP*)aZ93RM(vk)MdZdJ+VH(*E=F&p{68 zvNV$xk@0fskV5sF6+ZcoT}seUy7qqqZDZfU>7xb$-)zt_N4z`_A>A!o3wpPCez#RR z`J0iqlG0C>ch+e3-}Zj{zi>>{x2*^1xJV4Oq(&8X;dDYHDNy_$Pco`Ht9|B z(Xd33eR=-C1}%j?ofv7C__3=Eclsq3H$9-Hnh8eOE1LZjUHH?m-jZk}yXH1{Y&(*| zSz9|3ozZl2FsB9!-bv>yv0}WrP^&5$C8gA2ULEB77g+3(jp;}T{(;G3VNX|=ktZeRz;nKhx z6X9L{x(|i(CYUu`#K0aKZRux@P^mm#*H2BcA;_>xInc@{0`j5?x5f9QjVN}^Z z^8poM5LK+MINmk(&l_cNiff8ZnCl7-LOK!8M(2&TW$1WM3US@3SU|eUvJ$xnK3&R_47<=c_)fSV6+@Y#yuezo zuL-)?@VnG9Qeh+<{0qzv`+xNk=N%jSu^W;+I)-df`8^)-lnGKAF75I$Jh#8OAYzx{PLXinap>ovFPq@ zS!iKoYhr)-k_CZZO})1BWB41A!qzqZCU6ArNBd1y8S$uBjtNm%!_w$0mOp}+w0;H6 z_XF9uBl+H$-bKieGK{4I4uFwJp`i82}gQ5SlOg z>8pIw+vlKwNaZM^p@-T)6*lf8jj#Y_-rgPru@Bk7ogySUp5X1!c=gZPW8M%v%x^j^ z%HqqpBi-(l;-u2BMP7JJtn#AT``V$SUR3V&i^kMx$FUDx%AH!AGG<^mY*3b`#tSz* z`hs*BCzUSzv7S6Gx(8tA3n=-Bu$x$Pc#L>iA953Tuds%Uo%Lx1iBOUab;66DjTb2H zuWRhQIzlqOHnmPHubP%`f!lVQwr_u?=Cnm#kLQvsdTdw)6+4L&=GN@F~Z->Str5~Tk1C68(bXs;QUGqCUMnC)5HXR3rD%&e(_@#J`V z=S&hTr7z?nn?i1npG?u_(oouYc~;*tmd17voVVZaW$%p&Pmqn6n2im`blfS2Gx@kM zX%fyr88AQ9UatRq(mipDj_thZSK3Ri4(k2|B%0z!kHhhueLzDED-s@ejGgXFlGCz3 zkzHG_xbp7Wf$r`2yYHwmah&b^E+WTY11?y*>{4le*=^%rMx3V~vvr+Jat_ihr9{6_fW_o5#2;;{*gqLZDxsa zwj-0@$}qrI)UZz0CYp%=kPlsbblc~Lkz1z-)F_0A0DsGVEblcYR7!pn2<176?P%zr zG~6tW?Zq%4CXGeU-4_m8ne+2CUuvR#O?lrPG{e5>1wZGoXy7k*4uce0F|`dlMi=xr z8%(PF>Um95)FZS`8!VIej6hG=29TrBnHwr&Ue zG9dJ)-3ba#3-r5^KGhnCefslCme8X9w{dJFTyV_G*ro*47gY*Ih8P)YKNn<)1vC-6 zgjOS}OORRQKr!J)QdKN1M(U;mjL+R7~fBje8_pG z-_T(H`-~r*Pq1cWhp)LN^~*PKrpFt2=VULVSdeq z5vxnDde#Y{<0#DB?uf%55Y=i5!-GFAff88VHY?NK<15X3TVO;tPw%J9q6BW6j;9+D zj}ZtE=88OyC|*Q6M8%~0_`|};8iRi=;E=35tZCA*V>fLfh~k(e$l}sMhJI#w;~#Fh zd&~WEqai@V^WClxKf|>we|oQ>UXK-KtbI|{`Os2+)%>T!7gv3?XW4wWhi){7a4&x*GN9G7TBp`bn;No*imbBcmL5^ym*IM#{qVJTC6Krt%OY&&w_GKRs~IxL=|0O$*?aO^|Rm8vii;SJ(W8)+bBMsm13e zv!sUZ{Ee*|$Y#1E$-S~`h_Snhh}DZi&&~fDfJyd*;*Q>6y;#F!z~l1T0HM9UJj#!P zgCBR^FATNYKGfTjs7pJSm{_wJS)eT3S!`1~R7RTbEXwK6BDnrR_9uKN;QtCS$zvbc zPN&6&ibtS1*x%}(?M%)07D?QMl@YC_2}2Xo(-CZ76kSzv@MGG`UjTLj9d)QV2us!l zaL8&?K^`4FjD^$bsw)F`fJ2j@d{3m-V>io^tgPPugDUnSTS^m(_(%8D8&55svU6>= zjpuvOQV1$XYOF3n83&QO!w(r&!~&h67^C2eAr`FZ3^vqDj=ax>5{DdiyQzG~)7Rfm z3_eu2t4jQ9)~KPSOr4F~^4d@By8J?#E;EZD#XLd%ie1D5#aY1t`+c&v?@nk$W5ljb zpFxs++of4}6SDju$R4;+Ds4thqteqom%flW;rm@Q+49E#+E@MZuIL~ z!mMI~VWEBCZBgJHD_E>Nj0CIyQ7(ju~n~Cs+e@UHsLX;z`4#FrGyx@ z@72>QmlINDtj~~J{GAF!>tnW)rDf)ai?N{$TP{X0+Ojp?zeEs7dB~t^k&l7w(H;%b zz9~Y)@L(NMAc3{~_NEWV!~=-8*?}%xQ)PdMoBEHbLvW!|CHZk(w7?;e0m|E>fiG`8ok;DT#cGojm8FwjNFk?4D z1a*=6dN12qn+}Cv|0(P9{rcD@7QkcDef&8~PSoT>B3*95IKd3MSn)ixUL5!m%}dl& zj}4<>m+Nwes+}^rMlK7tcCld`x5XA@+g0)8*$ZoJa^Ev4_B)B~I zU6qB7wX^v=|IxC+Wh5+8Hq0*1A69(>s1I3>CyI=OSGAx2>DwNSw`KtQERit=<^WF$ z%_od0VL#XtK3E3{1jRZ_?=PhgkzIy=BCpsAk<|Z@4pJ-Ju;-}Pq)=whVdQsyS)@nd`El^ zLH6j?+r`mBb%nl|{vnmDtZ41V*uw{9k#FU5@8Z+7v~>AgoDZTJY4js*792ELxNVqE z8UC0&%QnFg)BW1l>G;px1K%^`aaeN#14$;6ZHU_Kv22dJsYLHLBo%hslJeW}?nf+T z+YmDky0^zBCLeNneN?Di#{184qgC;Q6Vd1PNvX>tVeNqiNJUp^wWZdNt$n?Nva05= zdfhdTJHjrpc8~pW!Bb{$lOu+gzaX-4&rEcfo=%%5)(mVui^@%Jv@JU;wck8VSeFyE zYz}10@TKs>{07^6s@iV^kZqd`do_by{3QNUVQ1$_5eyt2#G`(T>j+KwC6GCDhOK!z zfDpVw6Wxujp$lGi9nmO#yjn^1%-^PS2=_C}YAiPg8Gy@rdyVBiL(<$kC6`V*oJ1ys zi|~IId-KUbSE;5W_dI5up*qBw-u;S(C}#}fksJvh}bl|T|0V)JL?eo zT~SZiOJ^Jj!WPeJDbuWRo{zAK@9v%@v9@xt#&K3<*y?SHV?v~uaWHU5@+jFs+vZ+< zZ%AbEX}XBd_~$_T3cUTKTBT&g&uH<|3LCW(aB1O_7NTt{s>Bie+iV+b3GJZSRF1v< zC_%DoNa#orP{(A%=cCHk8#&(=x>Lb@kL?PS8_*(6Y9r_$AwRto0igl)Cw$EiKNuk{of?V z4FTk8iOb(+h-qWbMH|~xT|G{!;l4=HvFL@peIS(mU0Q+v8+&86?@hDaxeNr|W68cG z6ZueutG)#>d>7FxO|l))r1La9Suaf4h#L+Nk&RC{5-7(g z6l}=CVg$J@T1~L|YCYVbv901P3HwScO3YnFjVVC75eRs@n93I@F~Q}lS1Xn;ZqAh$ ztdzC8{+#$SCzKF2wu$ax_#L%e9ojT0WtKXoF`?{!0A0W-xiy;m+`z%=KcvqJe72^P z&^hiCyPhXzrsc$%r~gKto{}uMQv}(*ajL5@Z2AcGc@CA*s7&c3;nh}DOa-5>1BQg{ z-vjxYtc4dTgrxdok3?kz<9>EwJCeZiiPVMWRX793_UqfF3A`ZsjE;v-HO-{miuVt8 zD05_v*)8WlM{P^3d=>X%71#Y?A74CUu$$jPIN{^>w~mbQG79g;F*hinYGy2x7tUSu zHqX-Y{DG1iS+_dg&XkO-a)v4 zwpiJ``=KfQ1o|lV$bksOdf~jAc1RMu#LE4Yh-H7NU6!4RyrW~cJ zEn<93(9p>nA5 zOF253d`kd%4&Iy$(t5Qu|Gn)D=aH6wZZ1Qifv`?6)VjYtnUTD!&TnjDUQfSEm>w1_ zMfMvk97hf^C~n+Ua+#p~Py1yd1P5&lHvgOn3*1yx?Mx$ri$7iFGh6i_Ev4_<_2xqcd-E>nT28}#r8j8hcl8Kxl!Tn!2k6t9Yu)H%fvg@bu`hr2dEN=2^90t^2)) z0>vS$3h$OOi|vm$$BI)=i*yL0b5nSCVLgY&dMcxte+Du4;AI*kUuS`7gahSfz8VFc z&y<<5*=gMVU`cK0wz0xAXS@Pe zhz+Un2Jv!GVKAa)jU97&Qt!Be%y(e11Qe>AXKD%{0&R4~$QU-(vuFBp!L5H$ko#tS z&S{NHjPxkm&*ORc0(lXkxRiat6@sEsO0XO9yAeD!7Ez`bd$_%+tpi8($-jjpQWsC6B26_hOkkATmGf4VOpA8ir7I1_^%8u!T1 zKOdh#T9%&;q73DFt{Hyha58dk7e(`-Pm`h79ttdDgbIv*bM8qiOA(wYA!+)|KR%04 zhEpsE>5#Yuv15Qu;Njq`;@|agt;5Sz8`~9A#^q?c5y&UQQ{au7XJ0+;0+I`r!Xjfu z-nl#g4p2U%M`x@>UIF0)$Mx9=zbHXaZEzSV;Km3A3G)A6us5y8_;>(MM zQdf%zt4U`akHgqJB3*()@S6g^!AN-oJIMTYWE6&nVE`T--mp!{vLoe^jM3 zVfvBAm~AG5!o1Eo9W|-#IqcUi3>MP3l+e9*gbk*6Ou;)-KaOy8t1Wa~tne8U1I#T9 zf(9_PuzehRWyXD8TQEDLIU@<`&te_x(XPEFsUZejreRspYT9K+GiXJ>CbFB*hQ|E4 z6?I_6aQy3&mmb6Y6usfR_}IO#VG`lf_nl)MHO>DlY(^e{VF-c%a`1AsCBeBcrT1t? z4c2UkpH@s+xO4q5`x(DSkt4UhX_4!@bgGr(xpSJ-&fW>3BQs;9ta{P%y_u=ez^(ui z7r%{_p>HA;+hjR~XA5>=Ccw~P5=|U&H|>WAM&pSf16ZGk$dqZfYdz|g#QR~+maNLN z5-&q$WykfnH+hYgG#(~jbQ3XdIfX#IVoVEW#8}*1s%L%f&J-ai-Xk1jCEpd_8A_x^ z!GN?USrJy9&c_DRxY0hccNKLh@@8E|?lEteL{oTouqtKw(4NGxzVu zR#G%;h)T6%v%rLL=Rc_Jk+%Iomt`3;hP_IvlL*==HEY z_`9+R8z-%&&IDlinFdvEJcSW3QdYlNioX6Z-#9v@MCXJEBNqwU$$68IcoccSVZ)l6 zKpW>)Z(h6%YOJr%00=j!`-MCF3;`TFWX&cMX~rRJ*8khgph%DDWFf&ambY5!{8O7Q zO31y@!d`|DS)7*Q-^((x(uZ6Y!J6st_JMiOV)p;Gr3`@AJc zB}Ow0<7?{zvX6&x1q7j1PSBI&J+3-did1T@ zvIwb+fHFtLPEdpniNXOkWk*h#>q&@C`$k+l3cO`O6@fZLY2kB6O*< zjBkkLj-iXogK*7*L1Ck(BCDFt4N`}%*SG>eVMad%PdWdBpb*UxbfW(~iudrZBzQ@^ zY#zPl3Q0Hd5`_%dkfm(%0A{k1)-;o>B;3D$VLRh+(qn3HL1xDZ2$Ws1q4qkvb zo~SK@NNkcTC{sh&>`LrNwos9kU`u=`{)zl@yLiBA2p=(^(c6FQF@9}dC~-ggp7`aj zGQo?r>V|ot@NJ1fQGFA(IpwO}s=&LlJMkr~^5H+74ZNFmEP31iMA`AR9gHGAq_a!{{OjyY*s|Om#W!%$&by7F_a(@m zPyW|)B+Y{t)>G)UmrLjTC2mJ%SghJ|j>6CMoy35#(y&1LK8C?ctOUFd&FLc!K%*F~ z*gf+|mjB=>JvIc*Jy+JJH_ZhBONqTQANdVm)Q(ZPx{I$M8y@` zSKjJ<0DTzSS$Biff;SX=)Rbq0{*@Y7gt*S+dt-}afyxsPp>e+u(}4ZVr66pOuuOCc z;|@YU<)-BsI*!zozGwA$G0ND@xzJIXlDd1x=!IdbP#KE(7qCa|C7GsNic+a7kqtpf z@tn*z;^h25h@Zji8|4>xaaAxENS9@W6B*8Cf128V60BTkC zu_Ghl;c@LF-=2`;HO($W7~|qw8F@$yY$GubOnGVF(fdZNjoK=Q=q*;4~VIlF+t{7C*rhW8y>8L_FTTav_m z%6lTI$OLTLpf%C(P^eTP!BGA^Up03WzoIRil^uK5Dr#2+C$0urf1F=FE7e3 ztZ>Gms5zBvK(8_;5u$3EosC4`AGt_?mMg+n*Oun^1J^4?e`H9)I@z#xhZfweCq(MP91Q3_KA3`USU|<8Bn#O;xY0(G0|-l6z74BmqhjZs(CjY9uTn zcw>nKYj<^(&Wi%w>h|Mt+uvG7EE~GZW3-M=t*>C0o?^UYWYypU+`8glqXW$73Kwcv<3j)-~V7+`NI+WN9!+3bN*R`PO5x7+Dg= z>K^jtRf*bwp)3h2emGGBI5CDip^2Y3g}cH%`G9W7O!fDCYt)N%`oT-r*+-Y2#{LDt>`y%K3y??$yBXBI!BYEMf9=CoukZjaALKaO#dM8?LYM-YtuA-t$cW%Q*=t_j-bdxg z??{iEd=|(S1qx0bF=Thupddr+`*!}c1TW=_kD`0CMz89#_*J5-6~qc`B0TCaPH9cF zxv+CJw25Bl6tNM_L8hx;OYuXq5>fne@Nz1IH4nL&TBZwHvBp2W!AT`%e#+mj6nbYf z7q{hdCi}tgVz^DaKGa4dhNDZZ;61i7n1~AbV~+o`sxl5bwKF^y=xuLl%9_zzqmv|9 zM4kefxq_+>nj{e#A_v}iiKIMtQbFjruv!vIh_>d?W(AaS%Y2L zCnNeY70da%vSEkztte?oMLpGA8J-l-b&F+&DjFz8TV-(M?>vu61R>W$?pgdVtm0qW z!n%I@1sqkcdM;Qtu)h!W|B8RUGr+BZ*c|+J9lc1RE-I+XOqKgzmNZ|Yx zUf5LEH!(g5jtM%VA!q?{vnFFqkmX9qEE{9aq2igEk(KVR;4Z4cPHt)nq$+n+7qrY1c&X;}ngOW;h!>EXHIPhYp)pNmCJ)h#KgY~7EaJt~ zYLjGa1wC;YEv+PVlt#_AhgMTC8}{1c>Z1>&y))=5`fyLlMo))-`LH?}5w;|jMRq1i zqW?N536Z~FQR<;_`}y|D^C3t2Nl(ZhR_f(bdQkC7_w?5*lsKt?&=Ql9BWKvU8|I?i z!Xad`JNzA${C?gb1H(Wjo5oY~b@ksUBSLV~H2mSnOt7?%(K4-UC5hpH>*1O8!NkV( zew3M5tmf$!#w<}IErL;zAv>^;h5F)D?w(QzPe{d|O&wJ-6spT8M~ zj99bnPbv1e)xDKhq8~8a_7bv55xPfC<1Wy*H0r+)8cVBwV;=w^l#*IVx{h}V#J&+&NEQfof1c{PJ^_b;KE=v$9YX)9Ht(Jg^^?+u-mH{htpA zTws7fljpV^v4n`7FtYmU(JuPy!?f0qEylU0JywWqI|SBxBvvkaQb>mHx=gzjd2(0r^*R-C*BB5@?GmE77Y`M<75pLd=g zIYHaZc3T8!)1m{eMRVSAQ**D}w;F2DKh5qBy}TtFufjPx?&^BrPlq?_B`V9@uWE$8 zSN)r&mh}=y<5>!ORBwoezmU}0q9HwvRf^$FVjZsy(d_0PlElBhKDI1XUl^AH>B>7` zwpf2!?&+lq!p*?Es%P|`e4YIp3n&SVjhU~72Cd54*n{|5>$9Z(rfG1NKN%G?=6}G# z%9(%%$nw}@vOi>sVlov)^y@jRZl!Ue1<2+r&AoeJH%SDM>vo3$Nz;xTwTwyLfW79yN9l;z6c*4a+aK7AJwwn<36o0TsY zL^>>fM~fKA%CgS;hIG)Q|Kz_K(CKe>>Ig*?MmudzC5C&CA&K?$g2(~|W3|!t@>`U0 zR%_p|p*x*Y&fD>EnU|U|JFqtgXLWb+G^FeF#7jRzpxkKru#p!4ZJ_H*n)Z>$N!-~| zX=gSR8i{ly6myVxSpUEVL{Z?l3*dDC)Sm0hDSS%TV-0`=qE7ec>-^;1n;a<;Y~T z!SnYUXM;krPjb#%r7F6BpFGcn;P!2epk#tu#p%;D>3!d%|HP8pjgkBZJs%KkUBNZt z`$(lJ@~g_;U3wMti?0=3envaur_uJ`kx7%$d~@L3-+OuipU7+Kako41o$chg7MsTjXa-75P~Wr zbeZ@zg#>;W55CSO`w+%B8ts1pVk|OI*UOWjN17H#46aSjy2*s2nf;ZeI%ff7Z^rng z50p22pTS;cWoIqRGxB9ho&bvPnmv#EpZnGSe0v!53`?7xY4vt_#+K!m2d=q4GLE4U!?#ms_-s;SB@rPSw)Ed@;llx6G>dU>ZSp;%?PDgu%_@ z(J#~EqTy_04AjGPw=dq_3EYzF#>3tycykLR>qJ8I2~6@%tEB)QepruG!?_&Yn+Jhd zMxM=ghr1er1}+C0A@7l`lwAFFcMDb`3$_-ClVlrylagD&A2oj5JIz|-U^Yz`^gUh> zmN%Pm$vO3DATRHS)Z2?peyDpfcPhXL)eJ|pVX`3ZE@O1n?wZ{T9$nQ^pBr2d|A9Y1 z%X77?Grc@gVYpkx%_m0x%454wbH#V(SvQGCoedETaE#;_4%|OG13a(m{jWb<(BxnfUaXROlw>9byK+AWyE^$%mM;hmW^)VR zxuuWN#^J0I`VIO7JJoHEKi2lNM>~wlX)9c}z)tC#c&JrlXo)$yi4UOx+Ln**+cvjy z#5k!APE-Qp>v!Y^wIB_y-C4ON*@GX@UKEJ(#$ zH@h!Pw$K(z7iLaIiVY`t{#XClH>^^>#?<&b*#)rfsn;Pos2c7H8B9G|8U^ zxS%oQVZRZ+=)TciKo5Cmm@!R6HAO6LwH?ERQDd*~*QWkFyqE@v~VORB>wpw8vhX>>Hkejuy{at>*>ybJXsh&*B(j%frS=+(E*3Qlap9rpA zv*8wP9lq}^XHH4veF4(3G9!+@z#F00B+9|>7?@Qrsx?L?Vks%^*NWY0-;Phm2Z#|U zjp;j8iK66n+02vPd%xT z6Y4aO?xoP9;1)7wT<3VP4d=|a)dQ*tztHsLnRCXTmH*Y@ciM(P9kbJvX9E-9=wv*L>8!SQ`nUHLr7 z+$g`aWz7H20+?x;Gl5FG5#)G*;#?_yDW?e}m^sOrr#z(erJr5+WQ*mdojyg|{H!bi z_@D_syq)(P3}?l!M$G1`d^aQxGW@Pl0so-84m@L$PQa^_$bA4j$_77GM62v_GJU$V zzMZt<{GvX~mukh0lRBZ^O#*LeNcX_{dttPE$g#k2-zS48C}XByw>JQOU{ZgVY9!2( ze9mYPJnWb0v0IhGFnX!^OE?ISGczg0m!M~o81umSAT&+OmWK^N$W#-(1Lz?>NIXpACTXM=Mn|!w7rXe(DwjU1 zdhbd9P@UOTH?{67dz6|4%Yxu77V`5s>;ZIRXv2UpW9&cS)Sf z@O!vkjEfMT1Et%d;K}ixabY1x4<`17Sbx{&K&v^m%k`x&6)$_{qsGGH#K=5|+DHQ? z_(TE4Tj~P<)X+qt&U%>qw@CHQs5fzWzi*k8BB6)#@!3UjGFk8JN%WV+t&}Aa+X?Q~ z?oaOO@u=5K!T^v4Vn)^Leb407K|8WGpRChdj8%dMl&!y|t%SB|WCqnHdGItr=uGcz z@HGZF8BMlBwja}BKEhOemJS)w9YN#c^&@<<)ISuW2)%GQ6CzzWjJ}~CH^Q{2k@fUp z;o%C>Cg^$K2SAbGew@gwKNOI}vkdTE*vB zIODl-`~*KRWhEvOB1D=qzu^Ys$O~Ir9K&H#XyFghTec+=8h`J|GU$UCx@be$%eP@z zuGMVX6v}d+k00eYa4s@M)u2>!w;hRE_?iG(#aeOiM1p5SEXbQ9&1VYlSttTqNSv=H zJ2|ZeB^ZFn&2di1-EhzitbaZ&Mguw%g3IXD^>tTrHLd&jKdb3HA|8GgL*x<k8eL416^mtt4pG=! zi_5(XcgzFJHm9T^C-hV?E0|(X+u~`R#-Iq*gWEo_bz{8bco$1$cf@s7= zx_mTsRBCw!P)AqY%ZIdZ59zppQ^!e#XM4={i!8NxUYIzNKIun9U(k~?6Wwd63z;#9 z0jCd7&dRWXct&4ddhfV8SAn0?s~4QArR7hcvKr_lNu1mC9pEXw7bse?6FYC`$Y~KY z(Snk;MF2vY(hhrS1Z)P;8mI6S<YMC(Rt_17mrV&paONP)6f1li#SZsv~gQg zK{oHbB)-+HTGJ~`e9H6uTji@})aH{@{?XM9epWAjE}l1UU>aCuN|!&M3eG5h>3Z$` zQ$~9@L;jUu5QJHMQGRtsZRObqVDK3rA7<#1q`dy43F(Vg?$VF9x<%g~Q?Z_azRve< zEKZC*|K!B^KLG_qcb;a#8c*W>T*nKX??fhQ?~qo^^I$ap8t};8^PA?7W+=$>-&cMA z#0r}4Jt49C+8Z18c*>f|V@yEjtJ?VQM|UT!b1T-$Vug^)sn^a;$XEBA_Co~Ue2|JS ztn(FHSfM6BzV|il1$;HfsimX_+XUSWpW{!A_F@K@Os>St9`#7*xwuSr+@u^N-EIzt z&5sxc6%8L{OG61%6N3e%lu-O#CK0S9c(#70UavnE@AY3QuX7+z8wyb#ksM}Mx9QU+ zeOvJx!;8XqSmIS1)mxS@fV(?Hu`KIDSoRO zHuAXBaCT+o+GWMIXM$vJ!&J08#_%xZB$@l0M*kvav_6{Q!ShdfE9++2bjy#Ri;FOy z7o%UYD&ioPl5<*Z2okOa=tAw;?ne17VGWMJ;L<76x6!X#Y)k_D9esR`&%!-xQm1xh zZp1G@$Ww+zP2psEO~<>|wIgps5HMkuK7#*y;Kt_iDs!RUhE77mxj!ZB{tc!cRif)1 z6IBG&uFoH&L4{*>En$?R^(ZvkDk6$b2(#vl>!1@Ao2jpVu559YulBsPZwxs#_A?h} zK~($>jFZ!ZB0ji*cs9zZJSp$G_5FYkWv-$1=Vm7zH_xX)jxZE@H>4^fCn8)g%-Ho@ zF2{>85Nj~0U(K8z8c*E-k~ImjRso`c_@9JwG9K^b2~4eE%s*;k5m1Ytrj4KwClLg?93{o2^QG)MZ2s76|HOI6RMR*?w>8Rq_m}N$FGbkQ{^I zM=^Q<(3gN{h()qyZ=I4d(|5RhWrHLtB?-udrz&US3LCv{E@c>NT>F* zr#RP>yO0Ysc#7Pu7;p!J!?OW*a$9|K47vKO%_ew_3Qc zDYm_Xo;uxRA5(n--L$u%iRrB2Qs8MKsK?+*F3q|5~V9(HzoqK_CtE@+H77Zj@eJfeKtdB@nvAF0< z;y-J7<0Qv}^o*-=`1#7a_HIV?ma`-EJkid3BT8=e^(#J-Vu`BCiXT+(LJy>{F@1k; zoo9}2(`UTgx#gD*6g%~Jf*sY@U3B#__?rJy2R-nVI(`-_OD;}CvrZo^lwtIfjO5hh zjs6QkOYORkV0Iet;}g&@o2FP$fa0c8W8%U*ikF>wFYY^!enQ(Dc{`bp@TP_5MjlO4 z@#~w5ao3pl6S#o~Iew2<3``0A@0K+$Z>aoFls+oYy80dWL0atWe6Y&>0q!0hTSnF2 zzAPT;iA zJ5VPlr)gVGxgmr7kGrIpoQ#?UvR>EFmeJ(tXQ&&1p6=yn&V)N@os#s|mj-BcDV# zZ`5x6dRz9i#mzz_klX~U7ppzt!GdG}yL)Cf@JKmNwo4wx&PWr*NwwkX z{Yl&n-K|-!9fg)s=Vm_KJwTlI;F1yCh2P+1bR^9zIe(0T8tYv5yfVYg_(q{A4NU@b z**hZ8?(%h7<-IU=s598??qe1T0yc$RGqNo)PSd4FXsnZbVIhf#yE5$pO<`16&>(M@#gl#g`YkC%|MKk|~(&{Fzu; zv~dc#jZ^z|R_o15o3yv)ABKyaanTh8RQuC4egw-pW7~;YC)oC7Z`Q!O|6&onV9M}e zzRYy!JcV?|P`=?Dk?I*qB~~0^Iy`GR!!WWQ-Z5~r8ki=nia}9|cPF@Nd~}jlZDVYL za#GC9L*s!uD>XAo9WNC*T+JMGCpvK_OW1Dg>M!Nw*R7S@FCyXQbhji0FMz#&t;40+ zQHFMNTjM3vCcJxJ(ec4Y>9Rg}2J)*eL-+5mR;l^ZV$a9}lGS=eq7msEleGoR0efD% z>U(#-s7(K*TbDfc$jD^j6Xh#nTO3aLZ@kdRoh^30fr-y}y2fFpx2xF)mHIO(jx#w; zM`S8EFn_xV}Z)e{>9!xR{b%xZWlMI1~u*5Aq%IprXv5ORZjBT(;B zw|weD^8y&Nk+E=Wa|pd7d00~oL;KVZKh2IA8T#*u-cg1i5|=m`s&vjz+2V)Vj9s>H z(boZORs!vt6Ox!&#U1y@8TNKB6&6kWKG0%~sQ_wOHv)yt;}-w=(dm3v_<#R^1GYCx z9K5#0NKW3!I$dmYCE1vy&F-LlbukbKIF3VYXsV&G8pMM!k#oo5)(aAs#zhF5KVBsb z<37qC#C=2~DzkCQHfEJ>@^pd#?aepX-7WW$K%^gp^J=S`y21ZmV&D7lJsgf+pjiLz znQqyEq=5;Ve29pb3t@Vx@QRH|^wMlba`@HUPdCNwEceb91Isk_xgj11nz00zSQ^xI}y46Zl-<34u4QOuOy zW$U*!B1R_hfb=qZ6+H;QeX*-p51Rg7Jyg5;7w`W!2Ni9S)m#(%ymcyax2T0v@b!pP z&ehYApQgSi_4(oi6LP?X!D`}e$t{FHrd%m(d@C=fcxUp!eJe4wmFvP5wfc2g;+#Gj zq1N~PndbGp1#x|EGb}W9gs~?rtG5tvJjpe`UUG9<$aKa2%6M%MEP>klOGDDNK;>+| zPE}&$9Aw7Tzq$#NX`uAb_LGX~;u&tiJU!z?MUl^ZAQSkR-6hMz%CkU@QQ#naD} zHJfUzUlM?mD(|@^=Of`A?0K$tWU!77$w;<%k2>Bl;O3|?{M+VJ4r=8*wdc==fJpZt zvj=Kat$e3)Gh$-TD_Iz;49`gTpqm4+LgY_l>i16R#EPP>Ly?2M;)8atd^S0IK2Z#s zqg!LJ9qUR$yD6;^77qA>q_gb@O*?!=fQe&gKfTwKoHhLD zJO5~P3bsqqCJGsd8;S0riC^*Gb-3_74C+d~TF;B5Xu+pQgmnK$)P*|1|dk&D_^_%O(My2?hR)g znLev;2_u2<7R~S;V)_@9L^ExtVIgdBQX}n`J%l?%5_Ez^q)@@bi9s_r+Kiky0Q{|g zRLwwza(i-WDC|AaK&H_OmY=RG$J`WJ@ov}0jhz;IapsNa@*_l#+!H_w+63*)Nr3b( z5^OuM+TX(GRSWe1L&vg!r&mjk;YaK){X~j`QWaD3Z0&=OzJO zmb;y$7^?(6HAebP_WDz^WBCx6{2>jKs`l7Nze~ieMa-?DYFQ~NnxJI2h}71lm4+{1 z=@gqP$eZfKWA^=YHLq2JrQFX_;#o(19HoZnnueFE}%N|lQ z3u-MWXsyV)4YAgEZA_{{6L?AEbMM-)AI9-Bi;CY zbMhM83Fc7sYyVkyJ`b7yiSMeK7{5||yajSOuG%!De?i>8X0rBHClrlFW9r0;5nNxY ze`(m~8&nBLOQ3{#XT{b(2UczN9tGoYdUXzR2|016z+S+l02<5~)81a?!cE=gK zb}k@u({^#vjMwUy2ZF&^YKhRk)lyb;Yi`bF(iT4Gs;b=lgGKyWM&OeGz$me#*VF?I zemooAOTmzC+=r?`{%#GMP|Aa7Hi6qhdkbks9<5Hc`H+Gw7PV@XeH_b$It_8>CRP~1 z9lv^ut{W+I|KFMNbr1vo45OYh5?M6#UNUn3gPt7e>c}F!|3qsn``~xzd;Zb+d~lZ4 zclZ}h2(L*MzfFKXTcS!k#{}D=mBB;MP-Xe@wT;=yF~ZI904X}p#-57MEL-?*F`@67 z(UA5{35M&8D3<>smD4e^_SQ2SxlS8yC09=L^w87v5?5Q=EaT z?n$ZpvFVMM%0bONUsQ%4kS^x`K~xJzpRR92=1UH5xr)Dc-Ph+EGKmQ0gkM6C=&u*; z_K}XGOacqu=|%ygG8nvDy_WUXlY-5tE1gWbmV>x9Omy;WzU4~&K~>GB0T@CcrqU$d z)L%22b3FqU5tTdMt?{^()5M+hPQ36VMsFom2x?(6t9Sjy?b!6>gC^k}X&UNpMQpubTWM3(wgUvkR06)o z_2~;%yEhpf1=X^>CP>b*=`C!8lfGXh{R>eN@Xnu!RsG z;>@u(Y%r445OLFx>96RUC(30rfnJOg+z|^5)Io|T4Mq_sZ$R?18*`2PDmzkp`sBPk6b#-cy^cWpeh zHE&5zb>Qnn_1yjaE-T}sr~5sZpQZ=Zr;&Jx*UCp<+}5<|vx6<{wF<5BcEQ4vNUk8( z;lm5k_?wR2f9ziUl!C)FX-{j?lV&PZ|tqxM@*sh{g~HgqMpAnjG1 zm+|N~0iMOFd0NnYnS^ns2eVCT>@bT(M1Dx@YxVt(FPx2-KAjO9kJaxQ`?3K| za?2Tx!)k_Y+E>(_VApNn6v{S9Zhf_?n~hq5L3C*03x|Ztj1S`h@TG2x&=jZSk(V(& z?nHgLSfq1`(MKyn{*c7*`PgB^Rp5pB_Wd|sJIqh0${w1>@8=eXn2qSdNGuq;L+&PT zobMhm<&$y_hZmkVpLF_;>U3SxS|HYr#ay;WP+s9;12Lapl}W9v#W{keR0(>CVIktO zX5H}~w+X7jhViML*FJqrg1~MIqidzlMx8$!&)GLGD%RK0@ccf$*n!ktiS{EiZP49gfJ`Q#JmxGe1P_+lV0(B}Jy;`zYPe>s#ygPPRR7BL1HjPu_c@zbLl1gA0-Lak2`p`+ndI zq5vJJ`)lM);;2V@b_C5Z$?+}~e^maANzgBAULtA9-c8Kju~VOU8gEA>ZG&wbx5n?+ zlnc^^-X~+h%(uc2&$|PeH?44){{6rD#BYzwmYl(PEpX!jU!hPP;TTZ4-tNyUv*Cr! zLrRo;@%?VgM#gTod%xJs*--YgYt`T(UfGcW`fGISo+j4Lt)?G=jK49h|WD7hHwuzU0Kc`YZMX7bhvlj$5*P#-KG(^DMp^9I={H% zoYr602K*r7`$*Mprji=)EJo-7HtS1Vf@szRF-+S=zunda9ZwPCC^41a6{$t9&9@gJ zi5&|BDV7<1*D)}wo@s6M;Ta5GPLa)1|7%y`Yq}jdX%m|USKF4 z%LUk9!;+hTt!kDxcnYIZlfqn>xd9K1)0bpj?myY(VjrdX|2_&+`y_88*GcV9W%6sa zY2*4GoWu=NPQC%)wtn!y<$>f2{A>0WUK(J?Le|He`}%4*`m{P;wyXrxly^!WT(J_5 znh>Uf@)$yG2NNCMlcaZv7Wbcvl6WvvNo%Z@({D#y3@)@}6l8^^&ZeEI+7C2(Q?Xh{ z);v2e81~#wf01%_r}F4NaTNLr#z#lWyX&ou1pT*>Gbl3UGn_(;_=0?or2fFrqRP>2 z*G84UUWQu^^Jo#Bb1q+E87>A|TB=qr`T#b|M)E!Mves6hA$|UOQw$mN6NncJdP4=A zTx=OVA&K6wpi_GOs)d+-Ij(yaR!Dz7F4GqX3Ri|Zf}`BsI0W)H1E&&&=<=Hr*Uq%d z$I9o?>GU8jOW5tX&f&)Xd-t4FF7{X$E@R82ApvKeuCc!=Vhj%b>?`&&Hk^F&Af6F&epQ zlWP@+I2G6lc2?MXVx!x3e)c0;?3`C-QtD!9TH_u2!%f;-=1<{AwMqG$C&d;|BrwC{ zq}=VzhO&*t&cCL`N$GrD3REN9?gd4UOGEVDe-p`0HVF9znPIsERN%jVb|TTHR2-X$vATJMeSMNoVy|T{^a(9v66F)75VrW1$Kq%qYYD%^ z*BeUbtNZtw&W1kx^q0qYx4z1ZpP3&2h1yjVdL42?%ozPoS%jo6Gwvu3pE3kRkTZ@Z z>XGFQC;RqwpQU9x3PL~1*vj1f&Dxjwj6W2fsqYt9V3e=coRpSfxk_RbNwfS{M{+s41>i97OK zfcdc*oQ%*VEZ`3SP55f_SUA{3rl^u50fsndDo{8hDa%vD8u! z7>I=6`wu~gcSq@}I%au|e2P3GRxr!K-yZTm*L&FQiC*Q&4;WyiGKE&U0Bj&={6d{< z0F$cebEj<1*pJ|nP@%L1G6b;Jwu=9b1m&0Y8(f2|-iFyK{0iXU0)m?VO=kCHC?_={ zE@Ez8FPO-fy5lFs5iN{)vaID>?)-!JPSzjSvTfMp zIY4+RzjC@=FvF67fm{&R&7Rq(|31b)#6-=mV2)#-Tn@~xeISZc{lAfv4!R~S4reSOEZ#FQAK6h*z7rA`` z&uLCo)^OLuHI?@OpokKEL17hM>A7~uwF&ckO;1D1u)#b8^6JF8gcUXGI-GPHLA@R{=yMo~sM(lPo- zvN?o&vV13!lTp+Ob`=kHKsArICfW||TlOh(adQR5bar5T^w*sacZrk?>bw%g##9!c zT;_{0o_EvQ4i4+h5Uhi#uVBSQ?!4tq)e_Yf(O<5Cs)WZSG(p}BgV-iJoT<*e zRQ0(Mfh9)oIqtShK9QR^se_F4JSb85l{AiW-i(GybZf`=7^q|l%;%IzFSIfSqpOnI zf7vCqwtM{vFUpU708QSfF*}aB}^0#L!%foTtrio5!S<+5^pa z8VO)`JfFs;+Z_GCb_HWZmRABU>9EbUDW5Jm+-zOrufxcD0HNz*Nu`J3)p%W`u>gzo-%&r+&8?5lLz@DCwcWDu&%3wG%BTxueKJUp zgPJj%PZE{V{$?-QB&Ho^&@LLrQvs+^&U-Guc^mcDiusy}clw4V{jckP=3xKW0EI59 zy~A~Ior)J_Ij*k*XWJ)9)W5Wq{kF@y=L3*-kE&79>BVPQ=j?me={)?GmzOWA)W#?> zh?}e$2QwBLW7_9_SUrlS;TVUh(0A|#%Qhg>BMX};1MQgudXA6CM*Xrdn^|N)2TC_cAW{FrA?~W*kVYPs zZ+Pe5`b@E3^gbRa(q(B5zCv12J~bR7Q1ew);0A8Mu3*9 z_+VInFw6rRqra3KxzGGgjqLoCHxr1(RqLIm*l1VzbQjMCsJgup4>Zot7 zQw=WL45=;DhQq$_0zupaI%Ts!+CQh?4(-26V|v!s0(iu(-<~XK|K*2hy(1{07(F$% zp0JOt_YJdA`r$=co6tY{>c?DcfcrC!#v`r2Z&b*iVZKr5YGS74O4hH3P7O9gi#lsQ znWJ@CwYyfSQeOYQ(vK#^%fTMjy(sJd$J5rp%xnNx2D1j6N z02%IDbsntD+YAt}&DN0ZqVy1N_*A=USKVPbldGEC!l!Yy-m)3jyZ-=CdrDcZsZAqv zeMY>c`e&iXU*&na5J(SQ19O?&gZ=2#lxySrY3QzG2Rm<}F3;Oi`B4OM> zW>7X1y*M}4hff}&q6Pd{D~3*lG}eCdv4?AfAVf#Hsuecj`PPz0!p}^k_fWS))9%|i%th%2NU_^y$)KyO30UZVo0y!`2!x7Z-caj(HxcBVI1WTX zs9L7Vr&&RtFA#9jdc7+S1j6VXZLjaUv=UE1Idbw$r-UkWm}rMsu!8&oqJdIvTbX&A zy;(81sPBjOxvjEchLe{x*~b8NM`FVbzK3=o9y0qG#G|vVpzA&E4ouZe;hkR}z|_DAFr4GCYM` z2|+`v5Dri_J7Q3#t7i4#Wc~**1{lF`F5a6~{dAUA!qGF6j{Z z;`X|1MRnIbz@lVrkb3&QwC#+NEiMmB+y7A(H8Iu>q`lWG?!l@|hzbyX)5=a3G#Kk5 zjy5e4tdvaGi?Q9ry}2`VT)5985+|&rIE5g32Q%=$TYxbhajjQr*_BTznqOW1cSUGJ zP5Af4W)DpDaCxY{7?cGgoDS^#8VEj=bf86ffHFp}g1cE5GCC7*0<1OA$RE}_;Y6bK zyVu#o>dPh%TK6WQBGqQ2?qM$%VAgy5QH|eFPEM!=rA>Z|?rRHztC4M2k5BqO2WFa4 zC=zI1DjUVfM$?Fk74b#B;y6`vk32QCW{CkE=3$;n(VoAZT4gO|;0_zJ$$3LtYXCCz zy82FxLr$Q9dM(c#>jXms6K`9eHc;iRn*Lq>Gt32r0HR~${#R#H5`rBo=1h~>=FbUB z*~;*gCg0$Xg)v?@YEn@LIzJa-Eh%G|MssLOIm#J1((fSw2BOS&XfF5p~nuyl_j&-0gr7XC`E(KT3E8HLr+;z=+@yd(rk4pMy+LS@FA~C3hkyJo}&; zHt`?M$0J(GYJ|e=NO&&m$Nh=ZaqI4iDS8`BdiE1@sHe}-oLMb{pA9BBzRwi|6w+{8Z7$H-ENC!i9#w|o5eJC}nG zmV_M39a-@kVcW*}Bmg;Vs`yzr&E?EORK8C6g6nxis$(qPDPbRTf#Hs8>sno|Mx8BC zcx2MSZ#q8GTYM*~7JvA=Hdgg5y1uO7b1|M)XjjgHTM(K*d^p;q>nH1bo8khrRfAJ{ z2ukzAy{=8|kh`G4U$!I7(njrV3Jg}}G#N3jr!#CM3_yex4!(7)9drTREHRV@B}KY+fZvw(B64k&%)ehfX~%>&-Z);ViyFb32K-*!&m~gsY7UXR&wjzU`&?=+ z$94aQ^U%iYpzutdsuuYiZ0=c3nKOJh^xbau*|MJg={4Nasv86M04uw>P;Uw`?5u`!y)m;ARAU^BQDk*!`S9!)3C0@v`g!Q3l4)y7%%Hj_&4 zb+cT)fB72DopIrANScllFND(Lic#nyruTcxPP&$a7tSe(UVA@{K~To~Dk%cjuMp!WVDnb=#h4Gp{7Y7oD-Q^W*hEPO7n9543Z?2fdFx|>Q=&bm1|lOaXT{I6J! zo$VF~M!@OSi2#l5)lfvAgqCK)jhwEhp6_fGM{P#XZm+}=JJm}Z9jMxiVT30B#umh} z$4jWnm;Nw&)Glb~1G3|8HX985m4LTj4ID%+z*?@-<$IADKTwlZ=s$?}9qKr=qJ>Hm zG{SY|7OKi}251;~0CX-Xm=4L?(ohl*bVG2PtvrO7|zmZ?aM@>y!X z#eiZA#ity+#iMMZxmh(YMvO@#=r9b{*v2iE9*zFleI1k!*}kx4-eVX0phK4P^3!{{ zuM&jDr)`8|w=Q4kHbB1WY{%nTPAQLlEinxT4)h}=?VOS8>ltOIyF_oc+^~mY^{Cwp z?~PjQc~ahucc`rE1WfgEw=rb)oGH9Av~93Eaqz;^)y<JxnG5W z-4UJFG3$^U(oz8`pT~~Q9Wi;qUvc{$Q4W5cA!fe)X#VUO_A24H@~R4E*ZrSzm6ik> z^@s!wf_=y~nLcJmmK_v?Q3$)u<$6B6?v>Pp+}&`FFTid~^if;MwdZ9Y$C?`!S6j|b zY*E3#)KcJ(QwxIYh2ozQ_j4-wm9EuPYd9j`P_^WbgGAWa5Gn728H~`NIVIJ{aJqxO z$+&)YAr0rxOu}>QLXqcoSHear@RzjU{1?N$8sH=(CG$*hl7<#++=j2L1g191Kho*REey;-!@#t&fd(KLZAV zCA*~l`ZjPT2VW^cZb`&7r>4$0+XN)F>xH#B&o-lmgvn*=(i4Pann2}K_R0F0T+HKu-Wa`20Ag=MRq)vkL zATCt_?Q6DR6M23UM~7}@oDP&t8-+@c=y3lD3gA2V8m%TW^rcr%)!D(n(m?g}ypHKn zMEx2Lbp}59(+o-;os3>$;BD_j5H6Fe^MkJYm7C5rsmGimPESTzR?+v@oWCh!v9$Ye zs<}z(Av57;3=d68%kRX3T)5*RD2A*~uy3}-t9iE@rPeg7{)zqjbCwk+fJ1)%&vV4> z8shgv-ytgT2kZ?mEG{lRA|0J(#IGu5PB)FX10{EovJY5#Qi!Bh5;--{g>pd%9_UUR zk2W7K^!>EMS!$u~eS9^($^uDlt+>H?8k265gIGYw9E^NqH57KAD}HlWKh7t*YL9NP z??UD)MvqVWBTaUOIrD4u(`E0HZ=3>F@o&poQIU_KvjQwD&JJ%L2P#HWMe@#KZpRu4 zxB8zEjD&K&8tW5VPxnhv$B8y9)jA(J<)QHzJNes|ymxd|`6*y>noH*Ta>sd;TGYb* zeI?B|%j#&@*Q_05ucXx1t)3E?m&P_0!k~21rH%{zxmx=4?8qdHE;dAv)qS=G^IxB` zJng%n%1gGb#-TI-luD;Ylr&QWPRIou={Hd7g~`R}VBe!DuVDt=LI+Y}0wj+S8sv&> z3vT}Sv<%RUSy5^Iz?3#t5+Te(LU{H3kxKMpQ3ghJ=2zFFle%sU6}oe$e&3f2&xf6l4#Uc)^G)KOxJMx0(^^;`Vt1Swe5bV6b;#GY!y)m*=e z#T-c+pN?HG{mK<(u0Co?YL9nke7j^4?QL+KBLx%yp|m~+|7?m3ev09af7P`_;U1bs1=FxCD(ddLlN7F-p|Pp)Uak>Vi_eedDi3(9+akVmyBt=NqiKlrI7x7#gp6w z%BS>3za!zwutHv9AG)*+ecTl0|F0Vt)Ds$ml&Ou^ZYO>>L%0uSoAmCV?&AM)#z?FTx-5jlG9W6{Wu|g z0)eBgsvT=lMLMd&Cto9@&eN%XAzW2I2-9NF##nR{k3f@Yxx^I<@bMb{v}PPpAEiQ_ zXyjIZtyxvzBT`sN9iT%H9+u(j@N2#i7&n%W{%}UfRgHtD7&<`@m&1%c#c!8+3J#CP zWV-H~!RM0pp7hjhK(LZP??3))8Pj&qc^pr1>g3*~OF_HInLe7S@3!`c2R&Ri$DUMHQ)qhLRrPx6BsYZk5!gKL5*V*WROM{?3qrg}C&gD3q z6*i(v&cWi_DIeC@y;^BURi~mAY`XtLYwt*cdM$Cva#9g8M*mwg_A(EVonR(p0ev!h z9amR}eJHfbsv~Zc{$}l1)?YbP+|4?>=d0$&>7COu|G%k$7puMHKkvjayB_lFIZMH> z*Bt;{h0}b9cOSmb&9UJCjKl6Q`MJK|SQ+O+qe_$u0b>Zsgj}V8?Z-bWdkKd2y!m;` z3Mnn)+fHi*tz>ah|69gAxjO3fJtpN`);ZJs2;JrneG{cKI>L0I*AQ%_`29Tn)2qxm z5sOrqU`{Kg_^VU&ho{DGn&s-$?A0aqVQJ88-UFL@ykwHAqf>YC z|Ko@t2ue#xN=So%N;42CK@gCRfpko|V}z7+gHkFX(%lTCnRGL{d*q0*?KfYq*ZceX z{Ix%x&u#afbMCqKoO{mWq0Qm^xC}&2)@P;c#EIu}FgOcUgl)x8w&tNgCQDcRn2kkB z$2p9xP6og!a1_IdNyOqNUDW7%26XMkmr+Ql%cz&xVg%Jaduj_tLcZpJd1bV?)8s0k zY?YP+ACRM|7+*%WLAO!P&$7*A$IQkC#YrLvzawmK!*-V2FHeedE+(%9m#t+CYMFk| z>ET0Z>ofrqq9h+|+C}Ye;Oui6#gr*p&-hUactz5CSzX{vn*{*NefRC@$y%4}MEHMt z0Jf;B8mIO$^4}%mnyJM&A5r3-_5=DDCD5xvXr*3e?=ZiNDERMY=@@>r;u-@-JQliP zqsHHIm#z9_SY;4+GGc$7{Hx=$wo>F%w(O5^yY~cTRY{S8Y;^NH0NwLnxzQz`r@?h# zE+Ko2yyR#tBHrUAyOBqmnnQQbN0_-o#3}Y<`lC8dP$4KI$|a=Jp?Zk7r`+R`=zJi> zI>cNcowxs4dE;-AK(=IlHTuJ6XZx%Vcjbbv=^q9(UpP~dNW)q18WnIEhs8R7AGY46 z-H(-JDSN#L6nXJm{HS)I9?YN|FF`;Jt7@#%yV)cciwEW_bB=m)<^wflnq{yRb#XYr z@L7n}atheE>E*{hX%hAt(5fHD*H6~x6@9qsu-q!LUnrjw$=G`7ItyAoBEH6Q?M@UnU0OlGvVG=8+4zsHRiw=y=&4Tz z>U~mWw#Et0TV8WF|C$=+3b7t~>~_*a^A&qn`X%6UQ7;SA+@e%be2R^QGm9U_`ov>)q^Ia|)!XNR0hnH^Yt zU&suQz+IEj*Ccbt11nmbd`r%SkP{Bw>yo%LF8@xK`rtRGd?e?hOmF--plRH!L8=z- zHsbF10T;Lj5V|=s6_?jL>AD8^ooqkoOIxg3H(D%F{=WN{MLc6-Jx=yuXCjC^-KLT} ziD-MYC-A*(=Bb{{%lx=nav1@EnQ=La935BsOO6$@q4Z6;-}=v}jt29F+*F))XYmFh zk8gp2H&1F#rdxQ>AZ@hcP_RURA3~u7 z#>>?wn=6OVU=ZIG?DN1_{T)ejx$6(Zx0OwI&7G6N)0;k-Ya$pw%fi*$4i?|oWL$)( zGscR=E4LAWg`a*u%HfSRraR_?GFlOn#?dHgHHLBd`m?h)9YY@*OgbXpRdmGA{ zK#jLUCH4S$bQfyJ=D9RMw?7Mm@g{F>XE%sN4mNj6P#PVljzZk~db#L+FQFTfTAcj) zlW#Aw3sZN}w|o3oazWk)aZiu!?W zO~$I0YqRRJ=U$m}vqX&z4GkQv(v*W{%f)5rcncjlMB9~~jPofG{GnD_rhsJU_kl(@tFr z(f0iM0ln#m1@t}J9r=6Ujf^AxfSfYm%(nb!RP{TCS#yHHIf7G0}y&@fsR z9Lzjy^Q4lL3L!WGk{61!r9U`LLcg%f#ER&xF zpK=Q5tYG$PB!ASmJ9PeU=R&^ZnpSi7epeu-cV)Q`1Gpy@#BuyIRx3T6i5DWT zke#mQogEJejV_0D^0Q27R^r<7d$R|GDPx=vd?0N@oR;dJcY-UIEhy{URok!6Rwk?T zX)iZ?V;slyLJwXjr8e)tnDvAlo+d5fjiYPz`Rk)1zfdEf7Ce5~GN*B64OM$GNy zZwnladvVk^4W5Q1Ezw&>~`;66gm1Ut<<=7jw~WUCxbl>MMzWd;K7AM!EN_f zgc%O=gb!MR1UAUPHNxx7?1D-&c&p#}O-eN2J7NCaJIhWdXQT%W&Zbt1(u5oeMIcuEQe0$?`{lonNzgW7Sp;EYqs@sRAwk=?=B35_uCS%EWRdiqVXEBAG z+1_OFR<zq43P8y+6+xFjy^CN2H2B#NVPZpL-9lgURz-jxu~C&a&MbAIE6MiP{CGfN7$ zHlS8pQ!+laaF6;=1NZ|{R+RUNJv2&3%Y5~B7`~4}>r^;LD!otVQo2vEd_U=f6b{Y= zS6#f%WErAP?dS3Vxe@iHQ+G(-`iQ+~_{6^q@ke$wXQrARs?F*)7z%DNyTl?M)gIb; z2zkrt5UIf7^BFd&^&EDRlX7Q(v{vK(Mb|8oued)(57uv~N_leWvx=Ed1Ri=S~%1%o?)=u;ZKhPP-eON0Qqypt7v@Oqqd zecp)wNl$ur;k=$Y^7HYj#pl`2GA~Wvhy@TDW2@BU&`u4Dh-++0METW}Wi+%Lt%^LH4Xtht@)}+hK_s{(zOZA&)Z1<=p7~ zdu8D*w!kO76$Vy=TB9O`5D55>`(rG$R%4m{)x((1H18T1TDARZRBJFhNLC=7lGL|8 zWeJTB^qaXKl<-RgWSDH=U208TV##hrFZ}TE^Ts3Cqvr;-4v&-MWZPxrn4YnDXUKq> zGvlT{VGF_RM}rEV2g#>7=J+?1W{s zXNJ|@Q3fRKAMSN#-Wqj^zN_A0kI+dD$c4sZ_{E)6dW2T<-o}RLy>4I>Y(uLI3?mYZ z*o3dpf?f$@2@JSrmA@M+N)FU+0`tkc37OMgAZlG9XnNW z=wrP3@~Byrd{53sC4_cnOPH^x;?bq$XllS+7@&i_`&_pYBp#oW!z2Qle~x9?Wji+s zIehi_VPNIEFGi!Ar&}V{e{54q3oGv4A)&37YEk$e_A1Tv-hR;QWG>tg+0Kh*j>HR%m))N8 zBsF#pg%L7g;Uc!M)FIW^(+%w$BuM7#ekBS&VA(xwr275`R>=%eEbP}5J1AN#nnqAK znub43<=9!hy6HQm;BFrd0D%#kDL!);>Jj6%_gV}{Z@T$a(y=uE3kGlO`b$Ql67|F1 zCHmLXIY{GBz_9vF;{GP;Wy0(=ZySmLhH}`{LI6u^G)T8 zi#Z1W%ocyM(Xrb7$L`-%zU# zW_RxG(m?V*;e&+EzZ?M^dFUkDzqTJfA=oa8Yrk-`R$ z6nBtnchr2x?hxwt$-*#ess#IC)1lKgw=psj0)jNXj=tCE8KOR`IBoSlB$>~A`tbDe zBL&{uO43)TA6=ujIPvu@V$THFK9hLU&R7NtEsIqckOp9){gXyeo{?&4|wbv^^@KpsqN*}Qwc#MLtlN~PhatDupe1ZGNV7Evd z6F+;cbl`N*nj*(TrtjPv@{S}Oqfu^JRzej1bH^Ztkk7PQEI;m4@3>R>Dj!{=1<`AT{Dj`}ncz&EPq)S8+d<39QsSRVX2|Z+uxn-*Xez zmv z9rYgc-Cn9rPPXelBsL-4)k&ZaE-?Ab$$P!I9L{792SWrY^>+b*y@PV(%G|ilFB2tJ zL2Uc@_fT3qAVfD$7yw=;%xB#At`|6Q{E>Q!J}#K+YuLI*H1(tU#V}N=z!;k<{Lds{ z*Z)b*OTk$%(OD>p_TdQ|S$p)SD~*{z)!PoWi`ZtwUoS+$ID}ak_h;fu_aUWBld66#n z2}=uybbkAN zflN=GOlhB02%a)<%Kl6*=P(v${{g|+5066Kh)*Aklnfm;=3m5kM((_cVS znlFD2_<9`X82H7D!X3p5)SEAkpYgX$`7lp*oIKL*KQ7?@`E6vqoGHfhW2o4-!P^?J zXOiUZ=~G&b9OF^FJby<)$%3ppVbaLr!)P(i2xa6CkOr^YE1!agchbP~UQTQ^W@i)O zF5*7l8~tvR?Hwj;2~^vDxGV_r@Q#QJY{In*&>3IGqr zb$yr#YMk|azG$VIJ}B1E@DQCL&p4V#=q`*~tMskxd>Gms`I>hS&ok`)O?3NWS;3Ii zQWeN4qQgfGqhxa}cDG(!fR>W$Xuo^F$WD|w_-}FAkG-f#ni#-A{eJm17JZ=MS}pa% zcf!aYdCX3)Wq{ZtR@J~+YK1?CH{85Q0(+ddSTFcA5!x|{x)cQIE!>`Au~#O}2}_c& zWds^Zr)|oT3=bX<6gQ8Oo#7W4_rTGj+0Px(RA)7`u{s>lJUfIn7NA4 zd~XAkej7iyyU(phhnQ82hiWZUMDKmu&JM=AK4V%NHhTWM

    3; zhn(;3w46!QO0-||kb)1xg^DmCUOkRSZmizpEPaFA?}+&Al(K2EovnQ~_dn)g8cP~y zW>OcVX&i{^7K;U-#q{T@c#TX@i%v7jhW^Nf6A@GK?Ky6DICx<&W;19u?BZJ`Mn|KK zYe)yqgF7Uj*GLLIg$gg)nNOD*m@j(30ZY_{s2^n$8UX1OY1@eL%Q0%`qeHW%OO1A7 z2bi|W&=1PHCmYBIXSpRupFpI`Hop-{u$;YTQ~KGVILP`iRGssK4p`o>92?VHyWB{t zrjtJG8tv(794a0!M4l|W!XY&w@#nu?VFIXB*L5d5e;aGMLSs4D=XUd2DM~j4W2VNf zh5y4%au%7cD+@Y7QO{TYZR?&sZ*E?b??~ab^B% zy7r$F*llN_HhmU?TgdQ1C0#Al{_ANPyLu5F3uyFr{|9}{{$Q-P^&Etp4NFduPwIn$ zWjjBI{Dioab8#7wD&1h)9SV#{8x)?{$@Zh7^(bRDz_p8`I{5TB2FYo!gHQ>!bnD{F zM(czYh*~0vf^oUCY^~?DrBvl-?}vo;TzF5|c7HH6TG_qm$fbZpHiMS9oIF#*Q^#?QDperaXJXC!kyV0FW+!Fo>lA zU4OT`eaN8#A!v^gOGw{(H@Y2J&-SnuqlpUei9`U`j==eu5DEMIrkC#Jjy2n66p)|j zndSh0-O(D*yLh(`7W9+thoooE%RppE;nb(*zdgUVouvCt{l0{|9_H3d8&tjfrBp+n zH)Mk%obSLgJoLHQmRxC4FE`KvK^JFV|8k6XvLxnG=VZ5^)B;U|(zkjB6 zH0vpIj=u~xeGhi98Mng}HY9dQamp%@irskTOP@5{HP(&Ly#R-JR{X?FMYPK?pn?te zQhRmq-aP4W-97vX=)Gor|0Y}!{-Om!T`xxt>yubiJS05?N^Y=0muu}N6jM7ZnaKyR z75k7W_%hZhr`-YhJ+6E9MP{Ecrv7>!bAbw8nSG6fk$|*YQhc~uI{TQ~7uF(gKP+*e z(AxYMPj1TYuhlocnqo}L?N@#Q2V?t*YMAIN3hb4HkoNYuR_dY@XKkV3O7Oz@@Lb+2IVc7A+X{c6y@S)iA$J#Anf0?B!2wId5zd zs@_pY9GzD}RLBYweu9T&mdou<1t6l=h;$^0v~WB#8ov`r7Bm?Pe4q+oWAO3WmQ8TT zvg&yCv^e|hlO!n>{~4b$O{=5+4MN8I-X-z%gk~6w|4*(cKwx1$T;MF)`y_gz@h&kB zG<;+x{}iBlYcrC=CaCDLojtCH1yBs~knz7?gJ{y_Z1ugGP6`Ju)V$3zIR+8I1nX_; z?vbd^g3bpU0Csf%7f*Kko~pDfK8+twWoH|>CeTHXFt*oc!iw?jjyHat9(gt%sN835 zhcx)^#@9B>ktGiu-rOMRYB|clL zk7zdV`*o-xeJH5+8rbM;UQ?~K%Z1Arj00+i-z`Cz0~(tU>9h6wNX>a(9OSEZL7D)X z6BHhpFOb?;^cvN7#w&C0cC`15t^!u2_RczRBX7N;U>O{Jwg^lg1p9=a_Qk)3Rq^F7 zzWnJwrx*nHn_y!$el#Nly!8J26P&h~02DL7jT@5rVh^YR2|ILo&kQa{l=+*)l+Qw4 z2TsxpplN9uc^X>59eYzHXZvO^mswxmQqUk*OImBjfx+`|uOoDqf^XiL3#Q@OnuYNdyDMEY*CP zPtgbz=(Xr^?NCv5^0DQx-ks-%R^21qb0aP$%okCxX{m&Jq6AT0cns?^DPc!f>83P$ zQDNZ^$K&S5Nw(fOeUQX&<{~j}_uQxR)1T6~hAxT%A6!!fTSz&sk&DE{i_jqxVKE%t z?7yVz+`I573a)G>*98_-GQcAn1FTPVZ$sKm3L)UQPF1t29p5s-e4^lXx&Z6zj=V|9 zXyo?arL|?`@kd+fBA!&z@C~m9Z@O+`b>pn>T|fKCQJI+h=Xci)4;s!dFA3ly3YO+l(BadQEo3_$ zPQQ!JTJe)M!d4UlwiPS7^b8BALyShu`8l1f45kK;l1g0#WmdydRtz<&Lp%OrqgO6E z=aG$6F}gS}{z;xtmmD%{S*=xF)eO$*muPx>}FTByh> zOt9-70V!P% znG!_SMO?APDl1$&r-0$=mxa$BKS?G$?y9SVnEMTs9XHYDsyx@>{&%>+vt%ouCK<}r zsp-ZNr|7iy*p*qh1PP3>c=>|ZT=GA1&8H3ateHwlCpl*ry?nb)s0%Pz(XB{*DbnLz zV*Ae^U9D=jQ5G83NBbO*~hb zASdILi&1&zzN&GH=khy#3pSvVAesMKo>#Qn0un3c>feV2e{{`Z+#d_{ey%qjAXDy_ z^=MS*6E?yWUBoSM_h4f|usVMxQQs@n3wYH+`QhT^g>^ldt(5_k+V$64J8X`~d567U z%;$Wu5T7|QMSUu(WpU`qkN5v6UjqLQ@G8qA`yW%!B zpFr|@uu@9bFT_H+VQEvg=HCBQEK9!g0B`n)*>~r`?p;3p$~=)2UH(V^8r5G55W<_i zOdzGPk_wSWAS@Al$W{LjAyb`=(1DLA{OngAqs5~4`>4ypduf{A2*1=kV%}^!=q6 zLiiy5LD!RnXpPxd3P#hRCc^jb-7{jHx=M4_eEOeqGG&88NzOmUhht0sz8DM8v=was z_vEu|-xHSMkSoJnP{E?$fSFOhPW2Zu2+_LR-!sd9;z%&TJ9v%y_O4R3K0F6vCR1Ml zh2pt+)(K3;1TdBN|B%BjrT>JwrX+jA6fxf(u_#Ob6A+r;xN+1Gfg2P%fsvz<#HTqQ^(O8Y$a=j0ch);$y{XcbbDVmW%7X-vC|M#YKlOh8ZA35&x0qrL)|# zd!=?Z8qSe9(PuPkSGNe8RS#v=oZvk0R=iBCm08oZ+on?@;k&!GV`p0{@Ub|gej}09 z!a_>mV=}H%%$Sby1WWedXdq!_Mc1PkkbKB#7-nL{ZER2B>34o>w73A^}cwtWv1!sEN|KD>$H@Af(C5*fyx8rqy$v$Sd6zNG@-;*&_thWnY# z1!ZEfjj_F1U4KSL$$EE;!-Ba2TZi9-@!qBv-JWzV^D0M01i}rJ1oHPN*9g&9g8rw% z#l43dT^Zg~_g{XO+KeY1Tz*2WK(dn3u`EwLBlJhy0)5p7_>#)YoRl43@JB9(1;9qm z!P}PplhW~UzOJC5z*8d8)E!?^LqM!~J4StckeQ`B28$lGKv~>mNweW;-1BzVn)VKz z{1+j%@8(PAYQr3BZr|cU5*>HWC+@go>6+S}rb9g>sD44P?&vkyN{76hEOVsbfB`8R zTUTKbXS&A=9l$^K_CYBKHZl|%x{yR-^j1UnQFljY2)<4K3XAlic*h_9Yq2B|=Fs84 z;q>3VAN!FPK)$n0?S4hnO3btJVh%-HQ+t#SP(sN1P{IZQp%9lF3V1+pGgb zrn#jW|NA|b077hUZU39+?hg(!7ueK8_t<9_{MV$ok%Gpuod}SlUOe+B;h!~m9SP03 zM=pyA1Bl_>{F$jmtB+VLH@DySIj>->HDY?JF(iN`q3G*BDd@-YUap+ZM89JNwi7ni zpDEHdDl%ntG&jpPduK#gWE|IgP;qbC64_*4S>!@vdr=%R9tmanTzebG#ed&9(56l3 zT%)rWF$_E`=1-JT+WCFuyrLWFx0LxlXEoxS&RENDH4r5Y=JW2S8f3;Xbl;e{^C*jQ z#(KpmR{qJYZvo-^U>q8=Q(_T(9qL_bep7vgy)7lVui?7N@_lS8*y|;P)wU>B4N^~u z{_YC;c#V7H4J4=LyW<7s@>@>U2g;JlZP!JDC_1RIjuKW%hM$Ar7D?O$Ws;p^t+ZzG zclyWB~*{1fzA9ts%wl` z?!s*$PZ>9#^7LT&GVL2dbj-oLI=56ejh2!qb0@(XT>`GL~ zj_d0D8%p=GnbB3kN;9Utw8ryn)1`@jwoV-Kycz~Qg%2x2$DZkubI5O~{alzJ?~~&l z2*sbA!e5F1?64=S9SF90>(TZ?^8``TG9~TpXeQv*?~$5P`8yDqSc$cG^m}(9o9` zRj1l(*&#t5k9h+zyajDw%!y0cBG>0#r!`v*R0X)>3JVUzTyX7uWcWR7q^>pBsp|tc-7FEo|cC{OeL9JFrX(C%96a6K2O8xykeoK9FR;-3Y?rl*FP`Zf2tY zJEW#41=YJF4(3*=A5<0u8er@u3d1g;$^9FY?PL_`I`I{*778ZTwmVgMiv#)Nzf%6+ z;RZ|QbTzm3j_tC2rvU?it-4( z@tP~GN^*-fuo1?sAqI=Rh2%f2vKcKB63&t5{B10d-ssO0q_BeJcM_g4^^0wjH8t@Y zs@pp5BGvPz3Jxb*VO9NmUGnw0drt|m5us#7>yGZY|DK*gozZ)dOpoiDnJ|(-G?PlO zW#uE0-BB0*J-$d)(L!UY`1{xW13zvL)7D&8!GDDMGP1pv44%y}E12=&b*mhY(#b7a z`A^Rl+?Txnnc*3A7G{bIC*Y$4&MhrPoHdm8`AaapGZOcCN z|2R~ZMM7t@bmsAD#&iMo(Gj8Q5SCmA+E`ilR+mY3n(y1Lp7^g0Nn?A};r}TOdxVIT z70ojFecwT1HNQ_Y;kxrAOJrEAYba-)VU2)|fp`L~Ch>-k(Yw6;#-2PJHBwUEKFHuP zskuw0UhvCwYI`-sE?C&Sx{E1&Ri5~ZNKZtheY%%O*ou=^&SzICCzl{@iR zrMna2X5kpVtW?w0jcvamt*AC48hyI=`dtLoJsoYV=lZ4C0XZKX`%)o!4;Tnbpz&*V z+^vrDqF`qV#PPAURYuO1f7;SRsN6Na?5p$r2DwEVy4d9cZ&`3-!?EIntmwB z1qrf`rPhk|K&SBie4j#BI0>$w|0C*AY-#-W5J60B^fa|^SxaT}ilqo6NvMC}KQjqd zR|;bO+K=Gn2wI``mk2h+rEM$tHx&Bo$3USt%MZnUM)-?peSLRu8kDoq4*hZ;`ejy) z{ont-bNbuMF-CeXT=Yd=vF3k%y*dP^FHJn>w`UT_;&J^qC{ex3ZfEQ1HT7mEsr6B^GY)CX6xC`fVpG~t(s|j))tRp;8dqFg|yD!&7CEga8zg>+_^&? z{yo)6Z6KKcOM3 zYpY4s%jG~VL3Np#Hjb$5Lk`@-YW*$oOWm6C)DoI2EGGx#CKq!J_pjOu<;G$~0CXY9 zMR<9j;%j!-9b(YINr>?PD_@LC*{6mQ?9iJa7)Ar+Ic&@<$oC2h(o(@Bld`eAo zKbKSW9!zsu42I`~E?V~R;1OoU$qKy5|NbT{1zzczA&ZC_$pr(K8y~kEkdC+_fT})S zDaY6V6{{Cc0Dd9V{s0^ch&krIm3?AkOT+iII34x zI>>u)Ht2idtv&WvS$A+F?qex88U5RrCQBk>t$yyakH&#rP1yPh?Y1E=Gw&vgd){WsG2YKqMdG-DM6ARsXoqf zul>7HaDt(@hqwHFLO%1zW?*GoE8flX;8LiRY*mwtI0IdssLWD}SB1Z)E^}f3!<$;p zF_uH_G6Tt5`M(mxlS%COD(a-W?0+^iJ?V;SlhSRUsyH{4_7#&l=L~j?*eZ>Dl&h^u z^+#)CR#=d_-^H32gxY>G!Vt;>X_qa=0XE*ue$dBR%BE#>*M`hmse|et_%%= z7}lAmTJQz}h6>(4W&08qTl>EEH&_i{?l2rIwfQ-H5$6=945P-KQDm9h*T|JI$X=A- zyj{i86AkPk^DUYL)m4uVZ+SKUItk^s{do37zzx1quYOFH4@ma2&W+gpDc zU)5eaq4eH(Kc_jHHg+_{ek=Je{5emV5th=x`8bI+ zL7!(5u#0jR*pmHO5S9>YUthz;^Me}dY;peD@e(=Xkd0bAx@}iwe38ap-FLDmxM}!C zoMfP>#nm8h3Z4#VS_-JvfVLl-tKfnP$}sHY8-BAbZ|in#nFO5or_1bCt}xpGOlEW4 zzqY6GB;jmo5{Wz&)LPy?dtTvpebYRWcim!&JNMI#VuHlhOT)i>X5kAxE-+lykN#DA zdU489+3;XULp0fDX3u!00|k6s>t>l-1y2KgYB{2@9Y|-I>&xv%&IJae&(;-^hr>do zOcGGV0eh^k*vMH%xf3W;C+Ug-r+p;s@da;&{p)Y` z6)(Ua80uic`5hyIo88KB+AfC3NL?rTC_Gnrn~T%FCk zUAPL>6LezjqN!4|F(@i{P~z!rv@*JVdJ%7j+Wyi%tLZc!KSA3od9ci$J}Hc6%7Ce~ zZIO?aoA5KgUF1f10cFrJyIVF-E|Hj1s37W_u%f}RFTcZMKe=1Gg)XCBE~Q?8lqtP% z+;v6SG6xg@`T_b*@I2x|)bV{^_p&1a0Ujt+ZB7=tPHF}UA$Unyj+0&{x>hIc7g@fU z`!Yo$I25gN`bPEfV9$Kd3F+s0aGu55NU{?`1LeBxkBNYvG{#LNj@R9KggsnmymCSb zJa`iS8En>A)_JsGF!QzRnq(ObY$*EVp%QGQ20zrV74(5mmZL+B*D(6zwpM5czHimi$u#3D+u@8`3B zW83FJ4x~sWCJ;Yp>PRK#m{Tg0Mp0phb3n9l&xf~6T4UUXIk~&TnAzX!WB5L69 z=yfNx{Fyzz7Qx2r=S~$v+IuRG{a-wld$9ez;9ll5$Y;WAj_FkI9uFynKX3{6x;6&0 zVQ*vj{I54-Ip!tI4^-9ik8>N(p|7}jZO^G&M%_nTuWgb!Se<1g-H6GH`+B1z&L7M` zx(NzydYWXh(EKoEJ=<___1!fjMTq}cdLO_o(Ps6=bT-@i=?lEFq4-|-Lt{=1lqu#j`H4Nz%xFs&%pGpww zPx2ezbnv{QWaxEz=>>PpO;izMU~L^}%D8>r-=% zCp@J&Y!H3G>VSs>iB{?k3)T72Yl3PomlpLb+q`;nb+rf($(&&BqLs_NCci%0du`^p zO&Hg}K+}rl2Q#RML-^Wu^b`x+5|fpZr%rba;hEmc+kh6Yf1Y>@uS`LDnl zKjJna5^hjyhdtKQyrqE&0_2{%JR2-}U4u!nH=22EmlVUc~SKdngF?D}FQ?F|>w?zo;QoiU z%|lp2jpqDjL6x2a^m@Blswd-9NNKum)R5x1??b#Tf=7UK%N%1VTc^-LIVD8$_3l^p zhdJrQ53Ws*jw-6-_xbmQ%j}jX>z4zDTrdsvB8y4^K$&Vx=GtKtbHozG4?A$mrZFuz z)5E~#4AmKOrCOR>!1S}Ky0zvej}7hH_Q#iZNeKa-Xdd<-LQ@+w!2A4tB-b@G?s_;{ z8UPHo?9epbz;qutztERHDZ%B~o6Di=Jy`Wff8crx2DP|n&_tNIUZGcE8uw&4+`5T4 zC199hf63>?Z4qU^ggPq07d7-XcQ4uA3%viH)bQ#or-}Cvh^_Ghf(r;}WxolKl z8XpPiz6q?7L0maBc@(EdpN(JbUo@vTPZw#omad1L&=|yT|L*Gsen923=V>5&uTQZU zcv|~^oB~bjO(m~nQ4IrwVn&OC>P^A9mJw3BZS0u1>m50ON&U4fMtW_^0ONDRjV47xfScpj>C#L%{WMU_wY#A$3gNF zQA+Wj{AbN7oc2G?dw|ug9$AmKX0Jdwq)sGfMj_0PFbBs$>j^K84CtNgZeOBTS8GUf zr%%XFNaGttEKMdqn+zMx-(oTOhc`%e7v`VR^e%tteIf^aHnBDo0VD&f96S~_$ZIK( zL?7YFEJ**^Z#2cevV;i`TS63peA4@zw#Q);C}+Ll7ikRI0p7o4q!of0z#Ft2eY_VQ z@-<=ob&Za^*L>R!gGH2Azp~DT<1rjWff7dAtbcF0VrF*Kn>V> zZAoJ9q>=cC;0U|GINLbfa;oM>+64^IOBoZ#KlaD3Cfp?qPxH-U(_P}CmdV{5Mk&r3 zujr7G)z8rA5(Va*_$)_L9*f(E%@A*%0$)~NI~M8kXxWb+&JQqq{_*rzwb_Cu8N;Y$ zDr;)+fQ-xI?Z_)t!Ov+GeT96nkj&qmpiSzFT0oX!bI6s!Qgd_MPt0D7hREWWRtPgA zgw2@#In)R$bOL+s`;}wsyv>*j`~|tx-*v3iJu)!t+h$5Vqo1q8vd`}kfUah8BbNZ% zX}Ip(UWw3r^Mlro3`fqr-iFQje>g+8z%Y%FucU$R{OBsw?6sTMonqTEhn40jomdV!P`Zn0({+^opSM$TV^IWe9 zjXWzNJqGZt44*U_Dk1TUffB5;LgC~Pm);AHF=<$5ivypcmgg}Z-6N;dLl==(jH~qo z{GIVp5b3I}=2H|iB4(ZYe`&np+$*l)f6+=4-(8(c2i18($KT z*-=)}J|CkWgSn^xgPQBe|A{e3f~7JtfFia9lS^G5!>;^1Gha`u)08;<%T&Ib8P$Bz zV@)XXGsD_VBNn%%M6mYS*_pQ5{T)CR6lcn{>5H;om1^;-n;b=GcIzs_*H$3TgTEeJb_Nf z=o`o($S_Rimk0jRWRX%Y{IkS^tOg>d$oR-*dOuwV0}Vv{!D<$T?i&2odSfv=S%Zon zwsxAeCGj>+Gub%-D4dxK-VBtz*`x_ST7*6u5!8^)4aE;c!j`Aqf?ExaODZ7cGt#6? zb3y;)B=QKQ0&Yqthcy1b_O3h}%C(Ibsfgw?6iU>WB_Twk$c$Dd%cMGqNyuk6h8$aC zIk-wfQ^?YYV^7&?nwer4Ql_$uE!&u}8{615wlU{T=j%J?x=wO^fA{|N{_}gE`~Kbc z{d=D0e%|YSw?wuJ5PZ0!4H@ACQ<%3(L}*UgW`x^{S2?bR-kG=T_}Y1asO43}^8#-6ljho0-e9-N7IC}^T>0gCF9#Y7dM zZMOqAnjCq^1@DHPRb9qezK71%AMR+JFBKh~L>;559^u~XRl93(_8eH>J@i11()~@3 zmkBZ2`U7h4Ff>z`J?x%EaFi`>zZg$!k7hx}sE=m2*BO_oq8-`CC$wLZ5FK&8B}g7f zTa4rjO!_cbZVQr#R=8(GVmyg;GddDs7e0Mf@21UR40)g#gKsQ=Opa9 zA?uLToHn(TF?jxZVwYVn$$6GqXg2C()W@N!*lDpYj0$VN4=33%EDA^a>u5CdImZ*# z9_(nH$X?0e{!K5&XIjBq5>(2IXgJ6VPcVKwcaBRB4!Y^(ES0SzFpQ<_opgYIgl0u` zU9f?~KB}cP7fUIlsByJ%@o!Tdo?v!%BpUV7uso1Raw;#0s-v)yra||}KLpbW!gYt# zF1Fke*40@n7U>@eJ$XfEy=xzDWw5O|HN4M{$pcGNdVK`JgtK7byIlqO9 z6S;CqMl=|b8-`?c@v^2s+abHvKTP=R8r4M}pH&ZQIJeqh*!r)d&LKYPn8t0-eFwcj zil7($yG&N5ZCJ~3J?WkN^F6Eyb2aO-#26utsUZy{1pFa|VlnV%`$i8~ey(s6>nTT= zzdGHxTmWO_d;7=m&?l8Zhg9AldL?M&F15O^|I*6%=bLW4&={1AiA7s0O6`jX^PiLl zb&WwY{YuEHOBLKL-idNjK=ba)j<7sO!VewVEqQQ40S>W}xoncoGdTzrKsR>0RQb-s z|Lftt5V^YAYIn{u9#@|tS0OQw&^oQ`c2P-C&~XA15e5g>?0%_P1AI6+yXWh^c_SZ# z58j5@v)qS;ZSNazrl3NP?ew4ShmVrYOd>+HUA!$Nzvt1PgT5N)^T#z*C#adzQuL5n zrI|ts$RhF^CrsT$=WG1U$?l4gh75x_Rs;$5>C9J5fZ<+m)H8HW5AkVdT3;Pomr!6* z8W0nQPh2uuMIRD$i{a;4Lg^pMQ*X;0Y@=tna|_57ob0j_9+sWY z&!l%3+;RVb$9p|)@xgdkgJR|fVCJv@UM29#YpeY9z}wp~&?}2&)g@cZ;co8{;;E^r zg)-29D_uH%xA4m1t8Tr5@WG4GFy-aNxlv0*ooj;q`}xg{d>UDpVG;b5`fRBRH{jC1 zKf8js{ht1sjZeuBio7R;3u0H(G&xTnBZkgbp25G#DoZ}+zaKq9Nz3$68OZw;Tgb9X zD4xEStDG87npbFFF;W2wP~H;UlLXf^%0pz6JL4ewgDYp&=xk?+FXd|3>tY#veayZX z_4&m)p0ehVlMg$?A93yrzj>KyeEZZ#`_UTOjxR(t8ecfQG9E`c?4Y_ZW@WMQOUv?0 zQ<1jM!_(7jG`$(4l%KRX+}q0@8K{=H*t?uIXZ`s6g5n&b(g1teU;PAM;M9R9Y{@h! zXYd!`_j%h8Vr>O9*Rt|N(mKnS2xiRYnWnoMm|vLb&F-@XMMQ*ZpO#OFYw>BR8)L!4 zeNjXbOTBc#07GZ#aZFvMZAvtZ$=nj%=oX3=OO}mF<<$6)1B}nXZUKW;fPxCF4>jWKdh7zLs#(W~JZQOXexC#e;I^#VN=A7}VY{taZCDpP@ z)VG8#UbT_{-5E@S+Tp>2*H#C$yvOgR4cYkl9)7_Ox=_lVNx|e0_W1cu?s7)cY-I*l zjZn#uTi^oC%p)2eeqK}RdwB7+#_7M;u1N&I5j4C!ACHvxW?8|5l$DMTw0!Te@6L3tKVrb7YmhW|J=>plfR|a5~X1 zz$E+Qfpa2nt9x?b?3!3jSIpu=5||j3ptMh(A7MX4hq~56>a^OJ@t#8+i6jvJgsE$j zUTRxCDX`^HFIsNUlFsf^CupEqvLVsk^~B*6W%ppBltU9l_GU?-bT(v=U3ng-B#gq1 zFI*zR=)!ns9H^85-F|WRjL+2mB2noM2*c|gn+Bli$RCSfa^tH^^gAXmP`nJ8@W9nWjQuQYA2 zEZ!t1Aq*5q$q04s|KK|}H5&v!WZtQ(?_{q1yxjB4eNH1!+#A!1_p5BObI zt{GcDLD>|e>iG3TZUQ0v z>?9Sxw()<7Z*n5Qt{BqRAz|H+p9S)>K-SX3uWO&51@dzSS%;+jKQqX3upHZdDew)( Qc>{34&zPPrIB6652lTB}{{R30 literal 0 HcmV?d00001 diff --git a/PyTorch/build-in/Classification/Twins/Twins/utils.py b/PyTorch/build-in/Classification/Twins/Twins/utils.py new file mode 100644 index 000000000..bdb3b79bb --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/Twins/utils.py @@ -0,0 +1,238 @@ +# Copyright (c) 2015-present, Facebook, Inc. +# All rights reserved. +""" +Misc functions, including distributed helpers. + +Mostly copy-paste from torchvision references. +""" +import io +import os +import time +from collections import defaultdict, deque +import datetime + +import torch +import torch.distributed as dist + + +class SmoothedValue(object): + """Track a series of values and provide access to smoothed values over a + window or the global series average. + """ + + def __init__(self, window_size=20, fmt=None): + if fmt is None: + fmt = "{median:.4f} ({global_avg:.4f})" + self.deque = deque(maxlen=window_size) + self.total = 0.0 + self.count = 0 + self.fmt = fmt + + def update(self, value, n=1): + self.deque.append(value) + self.count += n + self.total += value * n + + def synchronize_between_processes(self): + """ + Warning: does not synchronize the deque! + """ + if not is_dist_avail_and_initialized(): + return + t = torch.tensor([self.count, self.total], dtype=torch.float64, device='cuda') + dist.barrier() + dist.all_reduce(t) + t = t.tolist() + self.count = int(t[0]) + self.total = t[1] + + @property + def median(self): + d = torch.tensor(list(self.deque)) + return d.median().item() + + @property + def avg(self): + d = torch.tensor(list(self.deque), dtype=torch.float32) + return d.mean().item() + + @property + def global_avg(self): + return self.total / self.count + + @property + def max(self): + return max(self.deque) + + @property + def value(self): + return self.deque[-1] + + def __str__(self): + return self.fmt.format( + median=self.median, + avg=self.avg, + global_avg=self.global_avg, + max=self.max, + value=self.value) + + +class MetricLogger(object): + def __init__(self, delimiter="\t"): + self.meters = defaultdict(SmoothedValue) + self.delimiter = delimiter + + def update(self, **kwargs): + for k, v in kwargs.items(): + if isinstance(v, torch.Tensor): + v = v.item() + assert isinstance(v, (float, int)) + self.meters[k].update(v) + + def __getattr__(self, attr): + if attr in self.meters: + return self.meters[attr] + if attr in self.__dict__: + return self.__dict__[attr] + raise AttributeError("'{}' object has no attribute '{}'".format( + type(self).__name__, attr)) + + def __str__(self): + loss_str = [] + for name, meter in self.meters.items(): + loss_str.append( + "{}: {}".format(name, str(meter)) + ) + return self.delimiter.join(loss_str) + + def synchronize_between_processes(self): + for meter in self.meters.values(): + meter.synchronize_between_processes() + + def add_meter(self, name, meter): + self.meters[name] = meter + + def log_every(self, iterable, print_freq, header=None): + i = 0 + if not header: + header = '' + start_time = time.time() + end = time.time() + iter_time = SmoothedValue(fmt='{avg:.4f}') + data_time = SmoothedValue(fmt='{avg:.4f}') + space_fmt = ':' + str(len(str(len(iterable)))) + 'd' + log_msg = [ + header, + '[{0' + space_fmt + '}/{1}]', + 'eta: {eta}', + '{meters}', + 'time: {time}', + 'data: {data}' + ] + if torch.cuda.is_available(): + log_msg.append('max mem: {memory:.0f}') + log_msg = self.delimiter.join(log_msg) + MB = 1024.0 * 1024.0 + for obj in iterable: + data_time.update(time.time() - end) + yield obj + iter_time.update(time.time() - end) + if i % print_freq == 0 or i == len(iterable) - 1: + eta_seconds = iter_time.global_avg * (len(iterable) - i) + eta_string = str(datetime.timedelta(seconds=int(eta_seconds))) + if torch.cuda.is_available(): + print(log_msg.format( + i, len(iterable), eta=eta_string, + meters=str(self), + time=str(iter_time), data=str(data_time), + memory=torch.cuda.max_memory_allocated() / MB)) + else: + print(log_msg.format( + i, len(iterable), eta=eta_string, + meters=str(self), + time=str(iter_time), data=str(data_time))) + i += 1 + end = time.time() + total_time = time.time() - start_time + total_time_str = str(datetime.timedelta(seconds=int(total_time))) + print('{} Total time: {} ({:.4f} s / it)'.format( + header, total_time_str, total_time / len(iterable))) + + +def _load_checkpoint_for_ema(model_ema, checkpoint): + """ + Workaround for ModelEma._load_checkpoint to accept an already-loaded object + """ + mem_file = io.BytesIO() + torch.save(checkpoint, mem_file) + mem_file.seek(0) + model_ema._load_checkpoint(mem_file) + + +def setup_for_distributed(is_master): + """ + This function disables printing when not in master process + """ + import builtins as __builtin__ + builtin_print = __builtin__.print + + def print(*args, **kwargs): + force = kwargs.pop('force', False) + if is_master or force: + builtin_print(*args, **kwargs) + + __builtin__.print = print + + +def is_dist_avail_and_initialized(): + if not dist.is_available(): + return False + if not dist.is_initialized(): + return False + return True + + +def get_world_size(): + if not is_dist_avail_and_initialized(): + return 1 + return dist.get_world_size() + + +def get_rank(): + if not is_dist_avail_and_initialized(): + return 0 + return dist.get_rank() + + +def is_main_process(): + return get_rank() == 0 + + +def save_on_master(*args, **kwargs): + if is_main_process(): + torch.save(*args, **kwargs) + + +def init_distributed_mode(args): + if 'RANK' in os.environ and 'WORLD_SIZE' in os.environ: + args.rank = int(os.environ["RANK"]) + args.world_size = int(os.environ['WORLD_SIZE']) + args.gpu = int(os.environ['LOCAL_RANK']) + elif 'SLURM_PROCID' in os.environ: + args.rank = int(os.environ['SLURM_PROCID']) + args.gpu = args.rank % torch.cuda.device_count() + else: + print('Not using distributed mode') + args.distributed = False + return + + args.distributed = True + + torch.cuda.set_device(args.gpu) + args.dist_backend = 'nccl' + print('| distributed init (rank {}): {}'.format( + args.rank, args.dist_url), flush=True) + torch.distributed.init_process_group(backend=args.dist_backend, init_method=args.dist_url, + world_size=args.world_size, rank=args.rank) + torch.distributed.barrier() + setup_for_distributed(args.rank == 0) diff --git a/PyTorch/build-in/Classification/Twins/coverage.txt b/PyTorch/build-in/Classification/Twins/coverage.txt new file mode 100644 index 000000000..7197395b4 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/coverage.txt @@ -0,0 +1,3 @@ +all api: ['_amp_foreach_non_finite_check_and_unscale_', '_amp_update_scale_', '_copy_from', '_has_compatible_shallow_copy_type', '_local_scalar_dense', '_log_softmax', '_log_softmax_backward_data', '_pin_memory', '_reshape_alias', '_softmax', '_softmax_backward_data', 'add', 'add_', 'addmm', 'as_strided', 'bmm', 'bmm_backward', 'bmm_forward', 'contiguous', 'convolution', 'convolution_backward', 'copy_stride', 'div', 'dropout', 'eq', 'fill_', 'fused_sgd', 'gelu', 'gelu_backward', 'is_pinned', 'linear', 'matmul', 'mean', 'mm', 'mul', 'mul_', 'native_layer_norm', 'native_layer_norm_backward', 'nll_loss_backward', 'nll_loss_forward', 'reciprocal', 'sum', 'topk_out', 'view', 'zero_'], total: 45 +fallback op: [], total: 0 +coverage rate: 100.00% diff --git a/PyTorch/build-in/Classification/Twins/pcpvt.py b/PyTorch/build-in/Classification/Twins/pcpvt.py new file mode 100644 index 000000000..bde27269c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/pcpvt.py @@ -0,0 +1,513 @@ +import torch +import torch.nn as nn +import torch.nn.functional as F +from functools import partial + +from timm.models.layers import DropPath, to_2tuple, trunc_normal_ +from timm.models.registry import register_model +from timm.models.vision_transformer import _cfg +from timm.models.vision_transformer import Block as TimmBlock +from timm.models.vision_transformer import Attention as TimmAttention + + +class Mlp(nn.Module): + def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + self.fc1 = nn.Linear(in_features, hidden_features) + self.act = act_layer() + self.fc2 = nn.Linear(hidden_features, out_features) + self.drop = nn.Dropout(drop) + + def forward(self, x): + x = self.fc1(x) + x = self.act(x) + x = self.drop(x) + x = self.fc2(x) + x = self.drop(x) + return x + + +class GroupAttention(nn.Module): + """ + LSA: self attention within a group + """ + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., ws=1): + assert ws != 1 + super(GroupAttention, self).__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + self.ws = ws + + def forward(self, x, H, W): + B, N, C = x.shape + h_group, w_group = H // self.ws, W // self.ws + + total_groups = h_group * w_group + + x = x.reshape(B, h_group, self.ws, w_group, self.ws, C).transpose(2, 3) + + qkv = self.qkv(x).reshape(B, total_groups, -1, 3, self.num_heads, C // self.num_heads).permute(3, 0, 1, 4, 2, 5) + # B, hw, ws*ws, 3, n_head, head_dim -> 3, B, hw, n_head, ws*ws, head_dim + q, k, v = qkv[0], qkv[1], qkv[2] # B, hw, n_head, ws*ws, head_dim + attn = (q @ k.transpose(-2, -1)) * self.scale # B, hw, n_head, ws*ws, ws*ws + attn = attn.softmax(dim=-1) + attn = self.attn_drop( + attn) # attn @ v-> B, hw, n_head, ws*ws, head_dim -> (t(2,3)) B, hw, ws*ws, n_head, head_dim + attn = (attn @ v).transpose(2, 3).reshape(B, h_group, w_group, self.ws, self.ws, C) + x = attn.transpose(2, 3).reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + return x + + +class Attention(nn.Module): + """ + GSA: using a key to summarize the information for a group to be efficient. + """ + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1): + super().__init__() + assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." + + self.dim = dim + self.num_heads = num_heads + head_dim = dim // num_heads + self.scale = qk_scale or head_dim ** -0.5 + + self.q = nn.Linear(dim, dim, bias=qkv_bias) + self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + + self.sr_ratio = sr_ratio + if sr_ratio > 1: + self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio) + self.norm = nn.LayerNorm(dim) + + def forward(self, x, H, W): + B, N, C = x.shape + q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) + + if self.sr_ratio > 1: + x_ = x.permute(0, 2, 1).reshape(B, C, H, W) + x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1) + x_ = self.norm(x_) + kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + else: + kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) + k, v = kv[0], kv[1] + + attn = (q @ k.transpose(-2, -1)) * self.scale + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = (attn @ v).transpose(1, 2).reshape(B, N, C) + x = self.proj(x) + x = self.proj_drop(x) + + return x + + +class Block(nn.Module): + + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super().__init__() + self.norm1 = norm_layer(dim) + self.attn = Attention( + dim, + num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, + attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio) + self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() + self.norm2 = norm_layer(dim) + mlp_hidden_dim = int(dim * mlp_ratio) + self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + + return x + + +class SBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): + super(SBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + + def forward(self, x, H, W): + return super(SBlock, self).forward(x) + + +class GroupBlock(TimmBlock): + def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., + drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1, ws=1): + super(GroupBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, + drop_path, act_layer, norm_layer) + del self.attn + if ws == 1: + self.attn = Attention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, sr_ratio) + else: + self.attn = GroupAttention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, ws) + + def forward(self, x, H, W): + x = x + self.drop_path(self.attn(self.norm1(x), H, W)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + return x + + +class PatchEmbed(nn.Module): + """ Image to Patch Embedding + """ + + def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): + super().__init__() + img_size = to_2tuple(img_size) + patch_size = to_2tuple(patch_size) + + self.img_size = img_size + self.patch_size = patch_size + assert img_size[0] % patch_size[0] == 0 and img_size[1] % patch_size[1] == 0, \ + f"img_size {img_size} should be divided by patch_size {patch_size}." + self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1] + self.num_patches = self.H * self.W + self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) + self.norm = nn.LayerNorm(embed_dim) + + def forward(self, x): + B, C, H, W = x.shape + + x = self.proj(x).flatten(2).transpose(1, 2) + x = self.norm(x) + H, W = H // self.patch_size[0], W // self.patch_size[1] + + return x, (H, W) + + +# borrow from PVT https://github.com/whai362/PVT.git +class PyramidVisionTransformer(nn.Module): + def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): + super().__init__() + self.num_classes = num_classes + self.depths = depths + + # patch_embed + self.patch_embeds = nn.ModuleList() + self.pos_embeds = nn.ParameterList() + self.pos_drops = nn.ModuleList() + self.blocks = nn.ModuleList() + + for i in range(len(depths)): + if i == 0: + self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) + else: + self.patch_embeds.append( + PatchEmbed(img_size // patch_size // 2 ** (i - 1), 2, embed_dims[i - 1], embed_dims[i])) + patch_num = self.patch_embeds[-1].num_patches + 1 if i == len(embed_dims) - 1 else self.patch_embeds[ + -1].num_patches + self.pos_embeds.append(nn.Parameter(torch.zeros(1, patch_num, embed_dims[i]))) + self.pos_drops.append(nn.Dropout(p=drop_rate)) + + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, + qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k]) + for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + + self.norm = norm_layer(embed_dims[-1]) + + # cls_token + self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dims[-1])) + + # classification head + self.head = nn.Linear(embed_dims[-1], num_classes) if num_classes > 0 else nn.Identity() + + # init weights + for pos_emb in self.pos_embeds: + trunc_normal_(pos_emb, std=.02) + self.apply(self._init_weights) + + def reset_drop_path(self, drop_path_rate): + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))] + cur = 0 + for k in range(len(self.depths)): + for i in range(self.depths[k]): + self.blocks[k][i].drop_path.drop_prob = dpr[cur + i] + cur += self.depths[k] + + def _init_weights(self, m): + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + + @torch.jit.ignore + def no_weight_decay(self): + return {'cls_token'} + + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes, global_pool=''): + self.num_classes = num_classes + self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() + + def forward_features(self, x): + B = x.shape[0] + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + if i == len(self.depths) - 1: + cls_tokens = self.cls_token.expand(B, -1, -1) + x = torch.cat((cls_tokens, x), dim=1) + x = x + self.pos_embeds[i] + x = self.pos_drops[i](x) + for blk in self.blocks[i]: + x = blk(x, H, W) + if i < len(self.depths) - 1: + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + + x = self.norm(x) + + return x[:, 0] + + def forward(self, x): + x = self.forward_features(x) + x = self.head(x) + + return x + + +# PEG from https://arxiv.org/abs/2102.10882 +class PosCNN(nn.Module): + def __init__(self, in_chans, embed_dim=768, s=1): + super(PosCNN, self).__init__() + self.proj = nn.Sequential(nn.Conv2d(in_chans, embed_dim, 3, s, 1, bias=True, groups=embed_dim), ) + self.s = s + + def forward(self, x, H, W): + B, N, C = x.shape + feat_token = x + cnn_feat = feat_token.transpose(1, 2).view(B, C, H, W) + if self.s == 1: + x = self.proj(cnn_feat) + cnn_feat + else: + x = self.proj(cnn_feat) + x = x.flatten(2).transpose(1, 2) + return x + + def no_weight_decay(self): + return ['proj.%d.weight' % i for i in range(4)] + + +class CPVTV2(PyramidVisionTransformer): + """ + Use useful results from CPVT. PEG and GAP. + Therefore, cls token is no longer required. + PEG is used to encode the absolute position on the fly, which greatly affects the performance when input resolution + changes during the training (such as segmentation, detection) + """ + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], + num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): + super(CPVTV2, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, mlp_ratios, + qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, norm_layer, depths, + sr_ratios, block_cls) + del self.pos_embeds + del self.cls_token + self.pos_block = nn.ModuleList( + [PosCNN(embed_dim, embed_dim) for embed_dim in embed_dims] + ) + self.apply(self._init_weights) + + def _init_weights(self, m): + import math + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=.02) + if isinstance(m, nn.Linear) and m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + elif isinstance(m, nn.Conv2d): + fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels + fan_out //= m.groups + m.weight.data.normal_(0, math.sqrt(2.0 / fan_out)) + if m.bias is not None: + m.bias.data.zero_() + elif isinstance(m, nn.BatchNorm2d): + m.weight.data.fill_(1.0) + m.bias.data.zero_() + + def no_weight_decay(self): + return set(['cls_token'] + ['pos_block.' + n for n, p in self.pos_block.named_parameters()]) + + def forward_features(self, x): + B = x.shape[0] + + for i in range(len(self.depths)): + x, (H, W) = self.patch_embeds[i](x) + x = self.pos_drops[i](x) + for j, blk in enumerate(self.blocks[i]): + x = blk(x, H, W) + if j == 0: + x = self.pos_block[i](x, H, W) # PEG here + if i < len(self.depths) - 1: + x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() + + x = self.norm(x) + + return x.mean(dim=1) # GAP here + + +class PCPVT(CPVTV2): + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=SBlock): + super(PCPVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls) + + +class ALTGVT(PCPVT): + """ + alias Twins-SVT + """ + def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], + num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., + attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, + depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=GroupBlock, wss=[7, 7, 7]): + super(ALTGVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, + mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, + norm_layer, depths, sr_ratios, block_cls) + del self.blocks + self.wss = wss + # transformer encoder + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule + cur = 0 + self.blocks = nn.ModuleList() + for k in range(len(depths)): + _block = nn.ModuleList([block_cls( + dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, + qk_scale=qk_scale, + drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, + sr_ratio=sr_ratios[k], ws=1 if i % 2 == 1 else wss[k]) for i in range(depths[k])]) + self.blocks.append(_block) + cur += depths[k] + self.apply(self._init_weights) + + +def _conv_filter(state_dict, patch_size=16): + """ convert patch embedding weight from manual patchify + linear proj to conv""" + out_dict = {} + for k, v in state_dict.items(): + if 'patch_embed.proj.weight' in k: + v = v.reshape((v.shape[0], 3, patch_size, patch_size)) + out_dict[k] = v + + return out_dict + + +@register_model +def pcpvt_small_v0(pretrained=False, **kwargs): + model = CPVTV2( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def pcpvt_base_v0(pretrained=False, **kwargs): + model = CPVTV2( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 18, 3], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def pcpvt_large_v0(pretrained=False, **kwargs): + model = CPVTV2( + patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 8, 27, 3], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def alt_gvt_small(pretrained=False, **kwargs): + model = ALTGVT( + patch_size=4, embed_dims=[64, 128, 256, 512], num_heads=[2, 4, 8, 16], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 10, 4], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + **kwargs) + model.default_cfg = _cfg() + return model + + +@register_model +def alt_gvt_base(pretrained=False, **kwargs): + model = ALTGVT( + patch_size=4, embed_dims=[96, 192, 384, 768], num_heads=[3, 6, 12, 24], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + **kwargs) + + model.default_cfg = _cfg() + return model + + +@register_model +def alt_gvt_large(pretrained=False, **kwargs): + model = ALTGVT( + patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4], + qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], + **kwargs) + + model.default_cfg = _cfg() + return model + +# welo: minimal Twins/CPVT/ALTGVT factory — no pretrained, CIFAR-friendly +def Model(num_classes=100, model_type='pcpvt_small_v0'): + model_map = { + 'pcpvt_small_v0': pcpvt_small_v0, + 'pcpvt_base_v0': pcpvt_base_v0, + 'pcpvt_large_v0': pcpvt_large_v0, + 'alt_gvt_small': alt_gvt_small, + 'alt_gvt_base': alt_gvt_base, + 'alt_gvt_large': alt_gvt_large, + } + + if model_type not in model_map: + raise ValueError(f"Unknown model_type: {model_type}") + + # minimal: no pretrained, no extra args + return model_map[model_type](pretrained=False, num_classes=num_classes) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/pcpvt_loss.jpg b/PyTorch/build-in/Classification/Twins/pcpvt_loss.jpg new file mode 100644 index 0000000000000000000000000000000000000000..064bb520a94e489d109948f6b1689ccce9f77e01 GIT binary patch literal 38578 zcmeEu1z1~MwsvqRRtglC;_gy3P>L5Q?oiy_p^z2|Z7EKH;u@UbZf$XQ*W&Ij;ZHkv zW~jDj4$^~1 zoZ`s1%0?(uPIz3eBhyi-pOk*VR~b5>;Wl>mN4xisfRKoomX4l*k%@fNpu|&2 zDQOv5IaM`v4NWa=9TQVCa|=r=YZq5HcMnf5?|?UfL2uu^4~~ld7!w=!DLx@1GYg!Z zlbe@cR$ftARb5kC_qC<9t-YhOt9y84bZmTLa%%e9((=mc+WN-k*5T3d$?4ho#pTua ze!&3{{?x6%^z0Y?!h!V*9uW}%5#@Wo;NU%A8v+g@(j!jf2ja>oMozd?T(42_ozMyP)U&^I?63Wr24En-!7d&G4gd%^zhcOE zb?^VS{~Lq&Th5&ZBKDRH0t23DY2ZA|ury?5biD6tzWxf6>vl-qKn=cVQ}l^jYPDaA4N+ZbdHc zz&U8wNxqK2u$!(3ifq$ic0OBCb`^7GV~8vbu9T*AL@Dxf)b^caqIEpDjTG`Rc83P} zr9}Do>MtfMt(`C>X5t|Y;fVfE)#|)Sz1zADr?%T5%NGnkZ-4y zIk26x58!@&6#|+OrO(D zb>QDKrJ~oE^hmBzuED8UBz079nkO;$!G06?p1vo^WrLLlK4;{`2PpnTtII0Hbd=Zs z#&?MyF17PHiU;eSu%VSXuYQI+kr{O0TJ+_tAU1#RZuR4t1$Q3}x13fGnn9lpep5-9 zeUdb;7Z=jJB77`!pvfdB;)-{0+c05sm@q@Hb4SaA2TGund+V$jVeC^7s(1N*+FU4y zzJ;W>E@I>{g%>U2gY3rTqm@WOYfq06ZAd!RxkGm=$O`r*@qJ{+S$O9}98P*-YAP*U zwee*T3-E1Cu@;XPDxIjcM{XDosawl!hIz}ZBXt@>`fxeoRk(_XBe1mi6z6l?^e&{U zq4=wiP7JiOg2qygFCo4eN^#_K3dIKU=N{4Q@%2vqoJSZh zux_n=UD^cs-(sNW8(eZJr83cku0|e?z7f+!sBLEs6=fW};Xc%C?a&!rEF*a6E~=T} z)NC2|_{!AJb>dL;gT*17u(FHyTZvJgNIQ!>Bs$tCfz;k`M+!z^a_`-sEs+;pU5*eKakDcB#=i#rmjYRq>_bXE93YXo@6w*8mk=pT>~pb z_aa=w>cmF(6H<1gmGux2$)gq|xFF@vNUx@SYtyifB@acTmmVg&&b+7bgpYry>-Fdb z$>YavhyekeC;5I1hh*b1ZrPiH>RBG%?b&-(o7^$MJmPVYon6y#q*$_#@go;OIEGtw z?disDTBmbd^MorO)Wc@FZkHb-Q-{ZN0!VWS2YB`g(RdsPJwa_sh$B|xr2|&pgYEih z+VC;amMgi;0b#EOk*iXH!9{HGmESV^UQk(B?L3XFcO^4NQD|R*P*w$`7 zT*#qR%g}g`w2Obu>ul$eMxcJ&rx(!btH+vWj~U)})zyV~xGQvc?9`$C+nww8tW#fA z?n>xZjRwy3dYp|{!!s)=GP~TH%l<4o4XSH}NTZOdvZ+nKd{I&p_in#J+b#omGAy9p zd81x_2Y^dM&6sFVDz=_(5QN`2JF7FBDtD-UPcCb!judwP)raF34s;=Xs`);X0xEKC((9vtw<8E3#4hKdKnVrcmqAPo~M%xgI^UpMUK^Nkqf~AR@2K$@5H=9OkL_l{cjtnlMug1)s$zPW`1rB1- zGCm0U>T!s1DH|6%q#KsGlkapHeL2CHHYc66v4B~5tK@N}07(^oFl)5tHM#4ETkMrGNg;I)m_6$Eutt`zc4~0qOdz6}20#wPdFFvOOzk5k~sHBgK!E5xagM6{J5G&dGCXlCeW^p7gfs3 z+e{hV0iMPgzpF;H>rdqV8kM!4OC6vCB|4n{P#^);63va;nt0gRE1az!CHAUDWBPuH zKzH6UN*HtWaHTGxDEUQ8%kXTLcLREU7j5Pt<&)w2lOk$CD59t7xss&hSQpNvRA~wl zis-LH%&D+96aa35)nUQ{=?jgq>3J+3IJs8p#$JeGCtUa{xD#tsg zIBa38t(L zuJSqj)fCvwLQz9L;T(vQ-mI*9P)D{u-h9bhB)!CrX*JzoQ=`kr{ca|>N`^M1Bw=MzJe2$I2S5&v=KA3rhyyaS+O2Q+V}4*?J0*`ajd7h*5T?f_39@9zMwa6pGVaDzY2EA{;+ z+y?FdUlA7fukc-!ZU7(d0Pi#Zuj&6c>i;)k{(m=9>rlGO!H07M4;P=2#==r1WwBif~^qKvlxBrXr znD{C*CZ#AxPs<=TYWy39b6NysRYXc01-Xzh^gb1yy7DVz0DQ?WoZTa^K?nDKFfR#V zOc?W;4}dW*1Jt{~PlfKmZL^r`-V-@qVzzng8~dzy8tk zK!EFyri{EsgvS!!*PHP~|1z&l{dJoDnLo>S25U7BxBP7(sCkFL?hcR<`$~}MpQP;q z10;8VPUIQr*E$bqtb{(9OA7xTAOf@cHqdqdmL;f85WtWT{CBo^mZ2wjJyewD_s~gA zQv$YSD=JN78}DB+CS=H`|AI0BQ;=_7%|E%Vg2-Un0>Q^i%Hz8C?`W-(uh7NJDuo6o+4m+kx;VnrN=g z>egRU7|Wa=h+V$!{PN|7!F4IFwVC3GIFAmBasi5O{L7ECdKuJQnWrw-7NZSUCSE$& zebs(OXsDAK33B%8#%_|rbDpy996b@y)TkOpimVBfy4Ig{kG!(A7D!lM zVRtt?8Mr3sI*5e@SZIc4y%f_6KK;l1e0Kn$+vLfaRJ#WA)Z(p3GC#W~b36rPDieCa z6pXAZHftezOaxy1fYQ2@K)Hy|2vHnxyNR%#so5EdUuwR;5g(%>n5V1{g?&d?F;cYO z0F4~_B0q#SGyo8Jw$T$PupN9h4d@>}wXxIQA4XkKHE|!0@(M=QSC^$mJUqr$0$ct# z(?^4yYqo;3zB|AqECP(JK1-S1Jra&-zX74dukP)JHJE2w@+5}R8-#VJRFxbw&+I1j zt!daWlBp4ye5O8U5ko;_+gTodCF1bCv!MmILzkKn^&3}j19ux*(yjR16Ovw2#b{Ub zN#ne(@tws^4a;<%J=i3Woh@=kZntK#dbBs5xt)1LH7O_U%0Rrky_iQGu?=PUe z5g$v7Xx+L4c;cwDvE(!yA~g)BJ#^327q}j#aIjwA*s|g@QJ2!HA=+){BWuI!1B$u!t4s9JqVFQ3+yxz< zvJ7dv$4;jY8%(clQrDu`y0r3>Ws*ktoMy^Zjk40!25q_51UyQQpIH+i4N=b@win$l zzYzfy5Y;Km861rqp76qOezx`RgZNkhUx){v|qjTmu6cj3`!Lmk~L2i{T6!T<&XF$8Se(=8^ELf$b;!}3&ft&D;; zkd?5rEaoT|jR{*9rj|-xS}nJaRIqw(@|{E7{6B?dlA<0+h{D}-c9!Wx++{*r2?p%j zAg@0e%dU&nYS7KsZQs*23Y#CzhxglHMSD!XlHgvwq(0ai&KI3GV1?mld+vUiDgEG_ z<{^e7vf`Mq#;7w*DNSSvY>H{QQl9VtsA42Fj8_0KhkSjg2odwl+MF&9)>TQ6W!Yh~ zORo%K_~JbL^bOT3uHODxi;0o~ii0GpL+veGgDJx)JuTFbDwp;qrw3J&-MhwxL`}~n z9L4(?5OOkVr*5>W61?^1EvLa1!?Q&d55ppf%p+e@vQ03CAaogp5KoL08$bt@XhX-M z_b6MO@g8?v7k&;;=K*YkF3zHF*P-VBL!i(9XpaP40J2A6%8~BjV5E2c#*VJ`TIpSJ zwB2}y3vueD8Q?ltv=PMgwiV;0c(JahJ(XV{Ihz|Y#TrUIoP8f8g*I5sOq+@ZQGm;l`(6m7L2W@$sLw7Gk^BNS$IlleNtl# z0gNBYWREsCSMA~*gEw7Prh_U*jcBUQswrJMUPL?%ouhq%H7woxc1+1cGq*_9YL18} zpoO@P(7hTd2PFZ9N3L$p$5MkPw$ zdRr+0hbR;=lEZf2;0@FbVPkmS+RiCg53Oj~Zv1S~NOP`H>GCXZUm+$t-Ns9>B;^Tf zrc;u$OMsTZ*s#)^?CDmOUy4p*uIf0m#)M)xC^bG)5>HdR8&6ph@UODr!@PROiQyjq zF}{d6hg*t(I{GWH45CF6C=l@UN->!xWZ%fTzctqUy)4bSuv)a%v>uHWZy^_p2`V|q zlW^OU4aS$3!1ZavK2UqOC~P?5jtviU&z?_6=J^f#PDX0!h?7RP*kD*uw&Y6zjP`_v z9CD_nI}PTCQT0L|hH>POC#hT>fd(p?6JX4e{AKF#F8f;Z@{=4SJ3eeHeqRrIi0(DL z{&3~3;=VMo>sdllo^YNAbNfLjjtQ-Mfde8{5?RA~!bZcd8c{&`&HUi)yTFXi`wH10 zv$jG=R#bi0I+t(GfMxgYXUgcHu71GhehIe)6wk1AnM17i;DKy(OdTsW4V$#6iN*YcOe7enh^cL330s11|{?u%#j=Y+84yshCvLCF=5@gDq& zy4UVL$f#ZjrlZ-LUjE>Wq%P}Y2M_5c52nUwzZCJe*058yl|4kF|E8+ z*~Rr~uqgSsgZWsch~kV?%GuF0$>SZOd3gs~viRy+Fhk4Ux&l%`(;f1ei;FL3s8|PShDR75MSs3 zxC3+v9ZcN%?>3*PjL*sp&2Ts(koAg*aLE=b{p`a*6iG?E=WzeTh9a;Gx&+LCCN&lB z0K=U&nGl!uJHQbfjIx$MlJ5ZEhzV&iBs}F`Z_mdowOsY7mY{wbw3nLKyMydY*0;_C zz(duGFRUni*_JyriNo^Y-wZFXFM@}Y)RO0WTm;LUG{W|cVY=Z-Ud1iv-hS<LVje z-OX-9-Y;tFi-qK--o4#?$a)wSn2$wW!)nBN2k`j_Gwt$Ajf%;%Ob<)b;c+ zWl8+V5@ks|fQDaXP7^r00*5Q>OU$zQ1|h{kpQQ@d+b4xws9$pPkW{c9OvNeMKTy$4 z)7vE}O>zl~2NybEdPQ0lTQS&;mkWzUp1%@6IW0<1v-Xj*cCYNvAn&*5Z}bmlD8l#} z%#a5EKVU;{zN)$+UcdQyaH9`F?Bq0wCkXe-E)K->jbYOEh{>T^D%%X-Jv| z`pi1=m3I7DDTS95e3XmI1xQcdz1xcz!NJAG@vNGI0DHCjZ3LkkA!R@ZqNCt*B=%pb zBYylww}G}?+_wcePN`QfgX-jdQyXbN6fK$N3p;vJzfWg`S!fb9%#RRm-y8^RNf6xd z=FtFG_q)&>xv@XG?zr;956!*~ef!xg|GT25kVb#ei zD;Zv_c4yhDbyoB<>AJPvbx{t@^wDlKEWW`EOBik_@&RYS%0L2YVAD7+;`^o01TO2+ zHyjjAeW0>=!Dd38%iwZTu8;Hx4yH$8BNFGz$I9uyPx4w?x{7hFzc>|P8$YAE*GJrp z@|eaMh|s1Bk=t&Wn8xqfA}3_R3EMoG0Mt@s*g2DAZ&z@nb9>cI)%BE==WA2AGj^{b)5 zI)IJbzbniA?P$z4*nsbOn=B%-LFTMxs_q4@`tXhPx15RzH}p`!mH{pzlPV;ByT^}1 zxV_#ACC2VYDB28eq+u!PRHbST^IRwHV;J=Kl9Z#`Rw4%bs5o<#y;VeQcbvN-Rck^% z*hwKDW*hfZK`SmcZSZ`cO8LQ2{hr>@Zlxyc+=P+_4ANu;JC^6(c4kz*%k z{5JOfDhjh=$rl5Zk>mB&>%tCq07?>v>wB9ESK64auD=2aO@XCdIZu}K;T`OoXKwUI zk2((64}pW&$8D}$GLcflGGCP8%#A$(ZoJ(W=KSNQy2ZG&jA(Q(N~9>Ae~XDS}dT)~sdOw%XO0ZxqD*I29~o?*nW8{s_Vr>+*OevZ^%rt(1SaH| z?mOEk#1-Fg+QWc61cv5619B|QmgWsnro)GyJT+q+sLAU)`mPo=)%74b(AS43G7TGX zRYy7k=M-E}i{PySow`c4Z75tQ8E&}69RTGNR_0&E$L;n3tvI8S1OLGn$7uKt1cV|h zbux3lILQVz8vc*1_Z^*)L13U<>aL(dR_jWGoYDj-wDOIfx_ME7?Cms3#T?!hy~AiV z%uLq)=yd(>I{v@LO#Uo{{Bk{HOll_fCkW~y=kdND3wka6ZD3Vj#7cd7P#?(6BwIh~3!>&%sjeO) z;yJIq*V)4pi6x&Vf?Z`JS5}cov|QiR)bPBT;DM2tzzpFxN$UwRe4kP4KB&A&SyimR zhy1ZmAfB@BC)m@^2pnm1*ign0EN}9X1yAck#f?4#dkdV#H2J5PM{L1l~6!gJ-l7{MNInVOWuPIk!~jU7~3UqkIH(Z;{E zlUApj(N?h>8L1da%!8-yxJCin@SdG7&RF0g=t)2X!ts(YufoS2d7LR8NA73d2; zY$X~pU<1kI!rv-^*-msSo~|K+?sO|xz(kif9&G(!i)&u~%{7($>SwXl($QNH=HSMx z80M*-qiv`mcU|DpZ4o5%5=M7`ky!J15*I-asN36fb+ z(&0sXF^=@qY8C3b2r2pFD-E#e#fJd}hS?dR!r1H1K+faS{^{CjH)?4i+gz3N7OBo{_z?oA*xD&*VTALu@?qO#{Us(y95mJK&>4HgB8l% z!fSg@&{mUIzVACB`L+7kP&z;E@l%Oj_j=n$Kt;nl06ElcOrz4ZLWq4pm00Ikss5%y z07RhOXLsg+qm{kg_;^i{;%FTAeDqcTnC!}@8L==W;bDLMEgm8LjF%JcBMdPJDbFFw zH|(IydWCPvVqfEDZQ05Wsz>VX04Y}4Irv0Eyd}I0vfWIZ`%nvQNtcIBoM9w^WfQwJ z!;k^EEP)`UbHkkV%ZX=&ko1@UMj}K~eXb$=YEAD{+Q`bhfwI zTc!mqy?GwWdB`ANX6+qOG=K(PFstMjM!Sb~1}j?`=$55q`eKG~zK>ZLhE@Ubq3sf8f>yjF(xb+YD z2m3ipUl~~-P8gMS75ovKnl&ljm8E$ZQzBWsOl)IL6=gBffmdtp z2Mz9JNj+vfu>+?XcK~?iY=~});l@0}p-7x00nRKeRMjV-xdSk5+34H>NPJJPPdU?X zc1YD>*j7xRKh<_n@Jj<%5PjbJXd>{CrmIL>-zBGI`(n=w|M&(_|qRp6Vl zNv4bbVJsJ|@c^ea|MS>|iTFw)S~l%wxBXi$0?XV*wUKY4cNL~az@5%NlSR#vtq)x$|iGj2Po!dy|H48#EbO& zpb$H}`ux+%JBJ`=6iNHmD~fi=g@i)FjAHcjCW=FjQNvx_=o`x0u`9TlDjPqo%oJ|Y z(yVvh1tH}1_b<(3rqTIURwLh z(xyKpin`3gPz|i~Xq@uQO$On*c&?H)@r>6MS9S z6q`OllKOWl0%rQH?B_mysr~V}mB}kTS$bX}Bk3>c2?6Ioox$h$PjUfpuTZSl6uJwn zHYzS*m2Zae!^5FG31izwuxgS!z$43y;K{$6l3#_@ut{GedQgbF<9eaeX5$d`!Qs70PRWc@NXRO1-*@Pw9Voc5EjKW~s?P&$GFQ{A?>+av0~k{N)M9>6 ze28W{a3fCeVd3Lz)}u@q=P+uHfaI6ln3$cx$_clgzmC-kDcJsa*$lRloX)6?G4r-x z7z^!YiVgR<&CHlGu%NTV85j)%>C`_TOODU*&=i-%Qz87v1ngf6-xI&(*lf~%%L)GD zMSt*Oh|#ZvCNLeA6jYTDo5IGA-<_bZ)M`;3jV8V(4p_IRek2QIAQKx93KDuN8A(JY z!HjX=8%OW`h26KB1_`irm5xTT)fut}r=(?OuS;lXWC%Vrb-+X=0N8%jwia_66*1pq zX6NQ?TvJo^N=Yy@L`|9qv!2E!&=}?M9{qu6kw>AW%B=qEhln`mHjG`uFj;EVSEl0U z6cA0o$)W{bTnfqPUbJjIbXK`=vt7U1!5qW6FaU#?vZcg80->YP;NUE1nzr# z{2cFC@4Qy1c6a_wKH4;VMu_RjwiqEf_r%Uh(1N^{8=NDrudsuis1r7U6U8Z*541dc zvaR3vw+kE@(e9zq00d};$ITnqz$2KI8QijtU#UL(wu#7|bsXmwh{_1)oUtVdtY!M> z=`zD7B+qBktBEvwrLomNmNyitB>G znGR9l-@!T3>JXrl*SGD3%k?}O(<>B2idB6D*z)-Mc;RS$j+v}>JgV%Aiy)oNp@59K zqymfpogN)0zk;jlUL&w9yY!Wx{|}7?HYMSdR4p?~ed6s}?*JCJN9jA#PO3ACaT=w1 z^s_Mt;jQK=8)Z_R%S@mBMI=>*DTBK^wZOyu+OlzWyFQbi?_Z2P!Lsjs-zTo0 zOzQ+?tk<{R!^Y6&mZd4nG$g#d{}oG7$=GxG#%h9Ko_#bzTQZaGqv>Ox_Bz>@mHUBY zx4Ds<2W3uK#;P^`~-LX&`ygZ-2Iar|2&B(7gC)ZPSa!JgP|1S3xQ|@Pk z5^zTF=Z#;1mF>H-_Mw{Y5+>f_^M6U}`Kh7Iij=K?-f=deqyl?Z$Kb?EaC?E6<` z!eu-&wfm<&o3RpS3^M+_JG}zt1%gePxA8A5(AH$MXq?vfOGTJq)mX}aQW~$z_~%a1 z<0Wy;%96mhnirGvqO1IL)kA&+G%%$8Z4u@tU%sb@v^jMK?3S$7WxA?rU(1(lka<#oZ8Qw(X=fjzyIJ-n zdOeiA4xWK#uLGSqdQOZwA#TR?2eI|pGoeyT>oQG|X;aP;gr*&x2yS15jq91d z9tI^{g$LQkvfO3>*d9^mx~_-6H1*@HWUSAX-RNcdqTSD|WA?o*pRV8ePZw-32JTxgOnOTgdfCv?1+j43A@s&j&nms( zH@#(kFwj;V=SLSdsXdcSwRB{I?i2ViUPmj_!ksz9wp;MDUvs{q!N|J~6u1YW@t^nP zZ;dYM^;yE<2`=Micg)oeAFlN!P(7}^rIKg%WwCrPH#=n&@x>NDQ)bC{Br_niu(RhC zXOL=&CBo33q4)QuB&6mlcH4KHQsUDv*5z51RFv0*IqY1WLZ5 zU9s+(wXsrB76yUui-_C(Up5SDIA~t^A&(`jt$wJ}^=p0y3+_u{Prs%uKi#Lvx|llK zQm9RF={~xqPO*~&(^v8!no>q4%gNsDN+0J?A&UctAx51ypvWStZ8Y}OB@z z{J)U3EXw=hL@2pD70;1PJ$A9GrcFy}lzEJb;yp1?luz+<)c0(Q_E!C6quCMmL;S^& z%dD-08t4?G%^O#YRY4u7VoXFLSTCL zN1p=bnv){N*>{Fr3&Q!p4=Dg%b0FL%+mgPNe50H_crV9fV9>bAb(tdccKTC(S!_vI z@_eA3%HB*XIr~t>jP5%K>n>5TJ%%D7d;{g<{pgYTdg2@tSmovms`l>r1!}|&Ld07o zRZS*qSs{j<;2dPgYCX)4mGk_{nf-)y3n-z&mMvG^0W=S;9a-s*i#l$(q9afS?*M{Z z+tG(ag7oiP?*KTjp`q0~9$BD!oZY2oC|8;qs4q|{13Iay3W{^Y}lk8VBbVHV}d5xX6^uzuysXh z{{Ti9T{NrK4&AW&_*yEPDSTLy2^^=jP`A2wj+#|Uu`?kA-cp&q$dM_nKGZXK6ntoQ zY{L0jXG$F%P3>!@b?m)Q0{!2@Vn(-hCeFm(fXu8lm+Ypl@yP9aP4=BRlVHWt-Mam8 zDGY-I@&{F5umt{Wxqc6A@D~#HsWs)Ayp=t(c1wisfzglRkl$;szhAb37`AH+f5C(_ zo7dKjQ1re4hT*mpuMVv1OY#nxhDMHZaXk8XLIruS5@o9PR#;DF*WS3XB4`VF4zH7p zWE3Y-Rg>`>pD%13%JYNK)=2Al-%N_7*WpT^ll*wchE#;h$|e~HQux0o2%l^Hn~B4P z+PR5jH}VF~h8)hC>uNfT0kMzAtE|yWIjSOeBZ*g^U;1+fZWg8Rj9 zN_ADwjn^mALzVpGQWd5KJBTHTJBZ&rg;Q610T6^!gy|lWf4)+G@74dTpX^DyjnKzA zj85f_QV8fPf3z6eOA)`zh7rY4lRE&b5zy)Fx7U}NN?L*oZ(+cMZYQraij|rxRz#6R z^#DcUhK8J3$64XAyv1d_+6M(iq2kW@j9SLU!|YUCJ!z0x9xBuXE}+K>#SwL1*PE`| z3NneFs3MMHTMER+_0YfrD}Z~G2bb0PyT?-F!7%D#{`#M+Z28wtrT;E_K!_P{9u#&; zwFTy2n&7m*#`6YnFvpLAmdp-OGPrwA2TLa6M9x?c}o`ExPJtqJ1@zXvO2&GOmv zbWP8d&$+|^pE-)gjC=n^kXzI?V^8AEJz+*0(&p_Vd0iQid!%re#&t}qFNL75mzwWy zzJ24RarS7t;pGAZ$p+J^%YEYH_L&7(rs>?Uc*70mJxy(YO0zAtyj84`8C4{ZMp-|t zi+7%qFQwHFt&SGUHrBBke`2&xWn13rXyz@JG!hmOsG42?33>2^QDv#f?pDX8hv#m( zpiwstuN*VOF>0og4E{|W%W0^n8h z()KaOD3X4!?Zrp>eLV3`u|6rRQu~npA`oMa_4J)^&dG7+253J8NW8U;-6km6UIfmW z3@$n?>~gZ#TC`Uk0X~Dqs4TQQN(fGGSGid6)4wt&dfzUQC|H>(Fd8Gk z%ZfWjCW7~Fn~FITS%U}zOB}EA_25sh=^y?7KRsmnVWtI*w@DsDT3sIS^K#(jYAZnG zsM{m&2oY;5!b00_@Fe_`u$<|J*zR=|!*`-&jbp+>`I7ktyaUr@y-4_Sx#~}7>3c#* zlU^xmzoLDYhOIDq+D9*`HKRVpQut8isrlA7DlBO|dukC$*&OQxzhb+yWG?9V*@BZH z-?UkzvtURbweT3LjX~*11G^W5xy{W1k(I`r4~xb=IA2;t7yXo%;th`#4?BkT)a?C< zz-JQJcCY*96DA*%sZx+I`(eT1Q&hp z0Dj(@4*!_s+u9e~LnRJM^b!FZlKp*0sD*w%{=ddbGkkQt?5S#^P*Xf5P_s;tqCNC;a{G~;#=#k{m@t_YA97BiqZ^h< zeHq54eOdWp<~4c)EKk%#97HHLxo#>>VNd@G>MxP+VPkTX!u zCBa5UaObZ$ezC6w=IzJW5q}e>{`m&d!%Gz{eQ_TP((!%+>KF`hlrVvT;lgo)c*`rj zYNs9=8wcJmp2&NC_8Fxy%j!H8-u#z-*+Uh174rpZ&A`D?7^5<|pYhjHPz3H)!MY7^ z+P1^zdjYmGpwNMPK*3IZ&32A7s|FD(r^qPEdQ|Dfsq8J#p~zun>?cth1y0Gif%FJi z-cFTa0b=g+;dO+cJ8%)nL0QsF zKtQ%D;VTo)zg2juuX$8EbTxMYgb)!V(QSvxQ&+ z0&^Q8M&>kFwSwH=6F7eBGveQr5nQoVU`^|6!d5Cl_@;1+YtFmUjt4@BElz9yp~#8*@U7++*mNYey@g*B?O?S|~zdxH7j z>%@OGP}F$IvZaY5T;Kh4 zaj{d#)O$QoWsGOCQb+|LsCe|Cf(wJ;id5gJXU-Ejt5lzBWXIj`FQLQ zH2i9G_+@!`g_7=8bI;Y_k0SF&-w|7VznE%dhrS_ciGiAJL5!)**^dRb_Kr-bMH%-) z-0|Mw4M%!E@BvV+&S@79KAe-Cy!UY6dIq`X>WR_dQPx`atw)zR9AkI z3n%tHw*wY%>FRWROQZG#Rtd%OyXO4gSwyiatm(iO?_sm#!^29Oy0~bd!TS{zo>Q_rrzKdewWl>(b(?_b^k1}{TIk*KlN6>N|^pq&-(QW zjbD(9U#;Ny^XHn3OG^B5hYu5%5UUbwEHk3en`u3`(pMEl;JScvTN?#$F7-R}u-uHZ zlk=vm#|vCcoTFQP@-}=?x3EhK-1-eKp3KX)fU@S~!G;u#v^AF$w<{agHT8#KpWGE- zH~ZckGWAzRhZR-?I9;k=Kkius`K2D9o<)VXH`y3o&}&LM6L`N34a}-m-t@MsYX$cz zG0RfJ^&`)7>pzUn6EC#VI6qrIccI$>xt^oUk_N}CI%zWTswID@P?j|RUg7kY+y#DU zVGE1qv|pwJN#~I4YG*E&96w69^;C9^d8j|%IOVI!e(WMMoz#lA?5Ek;AMO_LbEc1T0yUzqCGpfFc;`$)v)u0mqZxYx zm}3w8`M_?uo>69xicODpUqcD+FZ!9foa70cxv^ALP2(pT@2f?3cS2F$vMt0>z^Za% zOSQFIY~Xi;@lXQ>;euxtbJp$v>=&TUj^(^niUBCeG2Qoh_~H-F!#~f*pS^yUCXZ&M zt(MTA(yc#>_IW+_O;`}B2Xz}&H4UYEzZ5A!ou{EX7%-|n5=RqFl_jt=*kkh!vTI!X zI-rdSMT+bT5k9LEl(>-?bEk=Llq@ncGU2Q2W89~TVkosl(By)Wj4T0K`(z}=mxs*; z>97J|;=hXZ|9-;tUp1Nf2k8;~pO3F4Ly)^~0agpa?$6 z9&;5C4k_9#y_PI5R;D`QJl)h8w!SGgH`8F79hw7a@G}(dqNpiYNK}jx5XExnVf8*X zx(v|aO^W_d&J*%6$`Xd55XJENYDckqR4@Z}Lsd5M~H9uP;kg$?rl%KFt#ZrsPO;FLc~)!(Uc{0^{wMPP*n zc%TT_Qebs4;B5M&Es?2BadNA0^QPl~{;>26;qqGZ8T9}yZmi47he*Q~v2AZyOz@tD z=q=rN2k^L0skdbdROD8v^R=6dU&+6F&Iu0{2L!u?t4_IMRxQ}ABu^ri&*%F}skFbS z@&Bw_7#QcVVRi1Do^Px5&I}{wJ5`+=$G}`BV^oOJnX!(1bUQX1jXGKUq9u=d;&MV? z(uz2gO#{-kjkS-ObN zld7&d3T;`NDpIbFqm%Ls@?=`O0XJ9L#En`uZMJE~YIbG17K#jsbE(aVURwEZ-yAt_vS1%{={>E8P;2(o7M`HEYZ36JY0r zwq9{aWFd*-AqJED<_H`InGV6F7Kpuf;(1t^6eNU*5I)NlmipSKg;m!kaDw-$u@<7q zU{NUDmmkq4uUY8S7@2m&w^ss8zSv;FKP`Vr2W7LawpDh^7}Zq!ew8Gm^~pQq^$ULg zm0Pcj3HKw#|7-8Nqng_Kw1ap7r3r%cA|Sm;?;s*wigXA?q=rcE&4>yjLJ$y9dhZ0m zP(l$wIwCaz5{h)`y%*=WX1z0d=eys%@626yy=&(Fm9uuvIV;&`pI_V0^Zdj#HzvUr z=9QlevTvZe7ee8cJqI=nU^L=HS0-KXHg1HEyzY`*^-%hl3x{yZRwXp+k57sqU8Ou#vo$RylfAyYjR`m*Oj}CwYOq(vgW=l5WHf!PZVtO(pT= zX56GOIn6ObCZ_cMp))i{@k6VZ{=l&HGfcllIaMgc$<^z-{i^|6s%G~`^|%25A?cq$y@~$MnlK zTiW#Wye{tqb`)Pr^llu8gABwGcLU_<93r!&b*v;;B`Kk!K|uT>xlM7*fh9JB1omtG z{6DEK_}et*AD>a=JeHx`%mu+tsm%M*N4{yykR3!9qc zYghLj)^}J=oujP%t5xyJRx;45N61$&{$hYwqZqV-fVVXdYFB}weEwg;0@+B&%TUGQ zRs+N;Omh2Nqdm(!(7Ez%a^}Sn1ucO)leGew9SY%@@p{Acx92Cdt7`gJ0=4{nm`9UG zX{v`0O{`Uz2Z&AEt>u+Rdlq>hbD7OOdHJEhR-#USUWmwj<${1Hv&WaWx?q=kfx2E@ zg1rw(4mCUL<0fiqbctkD9CnP=-(DY{UnBm>-}OkFez#t@up_tw_4dt?E{#q4I@#-Q zpo=cG<&9YDNB|FfTR&IOXrr;|8>s2zb5*2WMUJpsMU8sDmZ*O9j+DF1*JR{k6Si$OqhbUgF?VyT+ugBXx~akqR`t> zg;SOj=DbwuUsAg!%v#+GzH;c{Ebd08RX*1@QFW23yPg%v6Y=93`?HRDE{4RHE&uY%(zw`C&v(qIf<`6!&$rJv z%Fq26PR>F0dKzV~&uftyLiT#lGe%L@z_?%nD&rH%Hoqoja{`)cyxIdOMY=s0WNKY2 zmizS79e$lsF_UTOXap8c>DHv&PZ!x5+_ug% zUpo4VZ4yj%+)I~o6g)mh;;!RV^;ACzGbMf@D>{c(w_=tSP?=a(jV!YpL*;Uw)WWPq zLW=IpMVXXYFVEVK9z1CN?BPx^SHpNXDD42OY@iHR>z%1>ezE0q&XR1;cS1wOKVs#- zXlHN~pLT@(7f-SQ)f@{52l}?GWMFMMq%h_=t?C$Ho83!1SP2 zBdLoA)b`p=Og_%y95bIM4L)Q}>FzAgSE9v%TA+v*v6+_W{{lBrRaYR7Lho$vT~U{d zO|A(SVV`WbZaDJz|G}XDtd-6uYSFjqgJXF&X3wGgo-Y3Bv*YXH`6^PKt>YK(=o>rY zv-!uE#|e=v=^;H-ab-e-VKq-e`ts3rrwUnhHGlvf(Nx$u75XrhI}br$d3KCG=gTLQ zL@f@^)-{X(`*Lpzz6W_RMV3~O>T;_`10xi3J(LJdua7b2X@E6|Y^KeHLJQ+mgkIZ@ zBT1M8W=fp~F41YeJx}q7Jg{j1z_z^t6iWddCt6*>%4v10raNG!wi@oA?Cr^Iuh5oL zf|Gp?2G93Tg=SKya>Q^wJ-;2(euPP|wOYC%x` zdD=Cb09DV(FK^o``DuLjRa!1{giBzjz_PlTg$B<@Urt@C1u}8oXFsM~zkgg(YO9wt zzFM-fm)xC*=SLEDr(2jgftr`sV?NeuS6>o z5$xu)oMCqwc+nHN}{)O+@I>@R{NLkISZK8X8aQ^i6;SLkq z+&S$$v)a(mTI!j_R=e&mLgaOaFR-0ZuKm?{d-mN{?;#UIXPt}vzS8zOm;K^U-LPh^ z0vxPEwpHe(=~qGD&xBt*)M96#x~PC$>jHoS+>g8sY?1O6W)fBHpGbKc zg0^nv0mO;IfuAfY?hZ&7{1PTx~@^7zCgIKvxU zgMkeVVLT4rPi#@wrfbzA1<%8&<8Cx`FmZd&45&NjRC&Nc`}+aOgYT;p^p~(Z{;^R0 z$CA!}Ea>_@GtoQ5pA|QcJ)OT^naOWKRtQ(xD_r#<)|wlKdNF1rs8K9;hK$m(2@05K zbR<2-iPZ<3aGn*U^~W=%cc-MflakEW8+Q*Fc-rpF6-*?83Y?89M5C~hRB+}F3Ma7KZi{rF4aay*3M`t2*l0*< zO?=l6IPh}2J3Uam1^~aGOJY;=QqT2x2@ZLM@e;c#Jf=3Lo3wa`iq1eGL*JHnry^!h z_|-t9R@MY1MN%|T+1N(e5L!I&5jS`;d%BSCcA&U%>E#slT4@llz5&u#m$A8acpA+L zraZd<*XZ_14YjPNo7H}rNxhqrZvR?x-B+lacmI6gF(#KvhHA_(z}xyN?=DqJS+VfK z=CvpqO7IFQ&VQs3E~TOPv=Tt~=5-SdmS!p3o6AWppF5^rPTwe{=LwRD7Uwzbnw(dJ zXp7CTG)$gEeZ9X9Pv@634~5K1Q?`T#zfU3W-Ysxh72H`4OIt7#0oo1ocM)>si`WkBz)O6YM3-!9~v4K(tFIm zYHg-WLEW>CyA>%BJHpG&-?De^-A<>?P`|h`WKJFEXEj!Sdjm$VY^#u)7eHTV=zG5c zCymb(dRCdu2%&;9I#XZzMNbyb3<2rUDD$0^J$ogv)hxgT7#latOu_Fd=R*HQxsX2; zuzxIO|Cz_sk;9Vou!vh;9lef0p%jW+03=gU8EiO;PbDj{4qD|G!7C|h>f{6jlg0AI zuMC=Ko8BK(bHncueG*MDZ#!b_`=%sS^Ip0Q5WM70C$x7hr#Oxr8;Iqh*X&{|rKTgP zb%nZc>B4o@1C?EcH(wvBw-GWL-ZUtNw2t~hP0m!~qIj$*(fhi$#JcG#_|!8{&F3EM zKahvAE}54|HZ~4)zJtgig(ViO+-YN!j|^W~F}9j_Qq z8%dL}gB~wyq7y20-!HGB!@kyi9d=1Sq_RT}?J_Kgj>#wFXdfd(&mh8M>AKG4Fy^0@vh`ld4U4cilurxl+NCia6u3v~-!D(G>znOP=iuWR7r{ASuTnrBOl2fefm6ux8 zE$?3u!w5iK3uf=W*SM#US9Zs+z(8Ab7+Q=zovlUFdo;vqThL{G2fttB@! zmJY{D94mBku8zL_Gw^1T3|7cXO?0UsBslGEz6Azz2|~q$`v#hP*Y9P- z_Qejwhe7!?0EOHpW&LbF|GEIh1CmceCMKv9oY|rA-kj=koae-pnyvYjzK|rWRB(Iz zy|9S|{s(!vSqQP0b_>2ZHY0|}=(z7V)BjhD@N>-Yf7ovSPkjKj-l8voPx^}c1*2+0 zBD`LN^EkE06Z=iR1UgMwS-S17NiOKYv0kUR+XrKxG(Ho^co)C@NL{Z*1z5;3Am!uP z(T|o=L8)+z%;|e-in!zeKgbO4xA0!SG5*)$+viWb>is>XDKE@#RT9&svWDe`JoC9M zd@&~{0BTi_WP8uVEt#nBKEr+IbA+0QI}dQT`OV4FpYJVafwOWgQx9=Bt!q3ivwY(hnqc%Q=6cff5X`XWSZ z{Fl@MvQDT4|JeV= z+Za&-G-_pNVzp^yybN1iix{}4t3+L2E#bul@iU(*G;L%%eFC$=I;6PP1+C)tSk&%-dhqWX{WP!N=SWB~W=GbkCBC(!B@B(Pku?D%3B2%oOBx`u*~r9Sy+0VS z91MSURh(+H{ygyuLq|>?{Tqsu4cqrX_puJOexI3)4p%(BB)CSZzo=j>2y*(^} zemUp;(odXgWdPvhe;JMW`Lg2dtiNyd&&-v-94vFJ&F+zagCSXmx%`#QhxXS@J!tfR z)*!4yjX%F6#(6QhoH6#-ke*_Z`=VoUA8AFpwkQs0*f;*RfdAoq4F4Q^{I>=C-pBK2 zJN~a}lmA)^nB>L)QK2Q)_Tqr`k$v}OhG#^Nz;1Z{fy5CxkxodQH_++1n4M_olG5xY zXyDI*`F}0${qgVl(l#4TF{x8#vlXwKJjD9I{2$KU+jdazCfUd9WIjNI7cOBf5tX@P zkl_NW2_I~eX(8k6CAFJC#@zzA((IfgAvkB>z}enfn~RtgcYO_Hg6E2M^wWDfw3j?m z&gIkg`0Pe!AGk7cZcQJqyZI0=&X^|6@1j#wQM`|x3-CG8-f(Pb-~U6@FhZdjVkm7X zi@|%ec+lP0h>SXT$@bWGv$UIO1h z;p{`~Zv(`&Z_3|n5os;B)nC$b9q%z|GLaM=gU1V^Hf}%#e!|k?>%Q@RBDvSKu+yFw zHSz0Ru^l&G$>Ut{l8-Jf1V>qfJM`Re^yF~Iz8RT^F?QuBk<)joVHYBPx@n%qQ5UrcO zQ|UYj?v5cP9UA1o9>2}}y4~K<#cQgO)(IQ9RK1TmN&uKyPBe+6LhJWNZaq)0OZ{{) zN{BrYhuWx03@Eagv{0@e8%e%k!%Bo@(~!eUNo{eI=M`XS_Qk3kSv8zx!aS&09IBzC zMkf)^&KIrT8FrpcDaT4@kp7`wgj?ammBguP=77k0i29<8alu~LYNbS|4P5e~>CJjg z#b?jcX7O4B8@wbR5Du0J3EDyHzOJk-fS;EtNE<52J!TOltqb>!dia6SlUxihv?%%1 z*qV0fLh zx5Ne9WK3VVI<_7Fb79)z_rvTBguz!0?-F*!DOkTu;8p)JtQt`cRH%TSuNimoZV>-Q zV)bJpM#wOeoSf6px5^rHcrOhSyeuGLOZsW4u*sxr%J2nv-YPq-ouFNRs7%a-OCv<{ z=yDLE$5B)+#}a(=8AldPJmQ2c`a>E+xI7evsaGU;C!gAjU0W%;-+f4949^^r!b>D6 z$zdcTlK%xrp`P$*pLHCQV}*j(D^KfIC!CJeu!;+LE4EUH9#OVY_a3rslvH2A4o8S- z2(Ag1u5gBx&Z1s)vgO2vb6aeUuzpENq3H1uPt0;MKH@N8w%DhUq|rYdrZM5C*GR`x zk^+Iga{xgy#<~9i?ftDxn7aMs<|8MhzmHbP%`+@CsP2|wHOi^~<5){+ji6+3iJF|3 zW!T+=4|3N%($`4U;z(vr@O?MH5Q+Wj7o{n91fX%J%>YGo zHNb(DB2LYDaqWbKX|PFg4^v8d;yaJk8nKJEPh<0QfyKL>PodUR)gc!G(t$*nmYPDbIkU_+&uJWnp$%xe~+p-Rz6)c<}ssA zo^+zyC#aRl&R&$LWlkhZcVOv^@fc@!b#%D)=Jo!)mbegYtN+x>{0B(&U;VS@8|aGv zmg2<;t@BC2iFg8(vtstoWC4|`=4{(S>AiLj%P@BZu?3J;`$9HstLjV)sh$#`rSA$+bX6V>(Cy8tfTpSqoHaah3(u=W2Mc=;B#7rWWLs;w$B#doeKyy2!Ly~@wkG9r6d)Jl zInzdeEobwimxmnZji?l+r5Ijo`&2`v_wmLMm#8Q@VH2ADOz0RN&WT{muY_fyxXC zq&m>2J%WBoNWityOpx_3bes-;otzMER3kU6^!xtn50HBP8Myl2=l(vV|L-~a^X7=< H+vvXmiN=3+ literal 0 HcmV?d00001 diff --git a/PyTorch/build-in/Classification/Twins/pcpvt_loss.txt b/PyTorch/build-in/Classification/Twins/pcpvt_loss.txt new file mode 100644 index 000000000..8de4bbc6b --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/pcpvt_loss.txt @@ -0,0 +1,29 @@ +=== CUDA === +4.753700 4.585400 4.802100 4.379000 4.837200 5.222500 4.633300 5.010200 4.876900 5.122500 +4.679300 5.344900 5.660700 5.093200 5.030000 5.106300 5.188300 5.154100 4.566600 4.819600 +4.814900 4.924900 4.498300 4.739000 4.816000 4.985800 4.832100 4.768700 4.919600 4.774700 +4.825100 4.725000 4.709000 4.609900 4.893900 4.563500 4.630800 4.856500 4.511000 4.534100 +4.511700 4.746900 4.614000 4.589400 4.583700 4.450500 4.674400 4.564500 4.486600 4.556500 +4.564100 4.468400 4.492700 4.624300 4.553500 4.511700 4.517800 4.581800 4.681200 4.432200 +4.634300 4.635900 4.668400 4.587300 4.554100 4.579700 4.631700 4.614200 4.529200 4.596700 +4.655000 4.515900 4.612000 4.633700 4.408200 4.545700 4.579300 4.572100 4.301100 4.518900 +4.694200 4.562700 4.610500 4.556200 4.456700 4.606400 4.530200 4.587600 4.550500 4.862200 +4.533000 4.631200 4.537100 4.644500 4.380500 4.619400 4.707600 4.645400 4.604800 4.688600 + +=== SDAA === +4.692900 4.691100 4.669900 4.786200 4.629600 5.234600 4.802200 4.504000 5.377400 5.212200 +5.756500 4.904200 5.267600 4.848900 5.355200 4.778000 4.891600 4.623700 4.985100 5.131400 +4.725100 4.609900 4.601800 4.693800 4.455600 4.644900 4.679400 4.496200 4.664400 4.428900 +4.447900 4.559200 4.584200 4.601100 4.586700 4.678100 4.834500 4.653100 4.679000 4.710000 +4.570300 4.717700 4.533000 4.706100 4.567600 4.381800 4.509000 4.742200 4.642200 4.509600 +4.652600 4.869500 4.929700 4.977100 4.976200 4.656100 5.380500 4.705200 5.295200 4.932100 +4.623400 4.751100 5.065100 4.696300 4.717000 4.822800 4.742400 4.654100 4.961500 5.067000 +4.674200 4.572800 4.847300 4.891000 4.689600 4.489100 4.617900 4.634000 4.811000 4.635500 +4.609200 4.585800 4.589700 4.621500 4.572900 4.658600 4.545900 4.592800 4.670500 4.712500 +4.534900 4.585400 4.673000 4.686800 4.592700 4.482700 4.568600 4.688700 4.658600 4.435200 + +=== RESULT === +MeanRelativeError: 0.012957321993001258 +MeanAbsoluteError: 0.05371699999999999 +Rule,mean_relative_error 0.012957321993001258 +pass mean_relative_error=0.012957321993001258 <= 0.05 or mean_absolute_error=0.05371699999999999 <= 0.0002 diff --git a/PyTorch/build-in/Classification/Twins/run b/PyTorch/build-in/Classification/Twins/run new file mode 100644 index 000000000..29874c482 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/run @@ -0,0 +1 @@ +../pipeline.sh pcpvt 32 \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/weloTrainStep.py b/PyTorch/build-in/Classification/Twins/weloTrainStep.py new file mode 100644 index 000000000..2c191729c --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/weloTrainStep.py @@ -0,0 +1,647 @@ +#!/usr/bin/env python3 +# coding: utf-8 + +import os +import random +import sys +import time +import json +import argparse +from collections import OrderedDict +from pathlib import Path +import numpy as np +import pandas as pd +from tqdm import tqdm +import importlib + +os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":4096:8" # 强烈推荐在 shell/最顶端设置 +os.environ["PYTHONHASHSEED"] = "12345" +os.environ["OMP_NUM_THREADS"] = "1" +os.environ["MKL_NUM_THREADS"] = "1" + +def ensure_cublas_workspace(config=":4096:8"): + """ + 尝试为 cuBLAS 设置可复现 workspace。强烈建议在主脚本入口处（import torch 之前） + 通过 export 设置该 env。此函数会在运行时设置，但如果 torch 已经被 import， + 则可能为时已晚——函数会打印提醒。 + """ + already = os.environ.get("CUBLAS_WORKSPACE_CONFIG") + if already: + print(f"[seed_utils] CUBLAS_WORKSPACE_CONFIG 已存在：{already}") + else: + os.environ["CUBLAS_WORKSPACE_CONFIG"] = config + print(f"[seed_utils] 已设置 CUBLAS_WORKSPACE_CONFIG={config} （注意：请在 import torch 前设置以保证生效）") + +def set_global_seed(seed: int = 42, set_threads: bool = True): + """ + 统一随机性设置。注意：若希望完全发挥效果，请在主脚本入口（import torch 之前） + 先调用 ensure_cublas_workspace(...) 或在 shell 中 export CUBLAS_WORKSPACE_CONFIG。 + """ + ensure_cublas_workspace() # 会设置 env 并提醒 + os.environ["PYTHONHASHSEED"] = str(seed) + + if set_threads: + os.environ["OMP_NUM_THREADS"] = "1" + os.environ["MKL_NUM_THREADS"] = "1" + + random.seed(seed) + np.random.seed(seed) + + # 现在导入 torch（晚导入以便前面 env 生效） + import torch + torch.manual_seed(seed) + if torch.cuda.is_available(): + torch.cuda.manual_seed(seed) + torch.cuda.manual_seed_all(seed) + # 强制确定性（如果存在不确定性算子，PyTorch 会报错并提示） + try: + torch.use_deterministic_algorithms(True) + except Exception as e: + print("[seed_utils] 设置 deterministic 模式时出错：", e) + print("[seed_utils] 请确认 CUBLAS_WORKSPACE_CONFIG 已在 import torch 之前设置。") + + torch.backends.cudnn.deterministic = True + torch.backends.cudnn.benchmark = False + + if set_threads: + torch.set_num_threads(1) + torch.set_num_interop_threads(1) + + print(f"[seed_utils] 全局 seed 已设置为 {seed}") + +set_global_seed(2025) + +""" +通用训练模版（优先从本地导入 Model -> 支持 DDP / 单卡，AMP，resume，日志，checkpoint） +保存为 train_template_localmodel.py +""" +import torch +import torch.nn as nn +import torch.optim as optim +import torch.backends.cudnn as cudnn +import torchvision.transforms as transforms +import torchvision.datasets as datasets +import torchvision.models as tv_models + +import torch.distributed as dist +from torch.nn.parallel import DistributedDataParallel as DDP +from torch.utils.data import DataLoader +from torch.utils.data.distributed import DistributedSampler + +from torch.sdaa import amp +# from torch.cuda import amp + + +# ---------------------------- +# Helper utilities (self-contained) +# ---------------------------- +class AverageMeter(object): + def __init__(self, name='Meter', fmt=':.4f'): + self.name = name + self.fmt = fmt + self.reset() + def reset(self): + self.val = 0 + self.avg = 0 + self.sum = 0 + self.count = 0 + def update(self, val, n=1): + self.val = val + self.sum += val * n + self.count += n + self.avg = self.sum / max(1, self.count) + def __str__(self): + fmtstr = '{name} {val' + self.fmt + '} (avg {avg' + self.fmt + '})' + return fmtstr.format(name=self.name, val=self.val, avg=self.avg) + +def accuracy(output, target, topk=(1,)): + """Computes the precision@k for the specified values of k + 返回一个 list，每个元素是 tensor（百分比形式） + """ + with torch.no_grad(): + maxk = max(topk) + batch_size = target.size(0) + + # output: (N, C) -> pred: (maxk, N) + _, pred = output.topk(maxk, 1, True, True) + pred = pred.t() # (maxk, N) + correct = pred.eq(target.view(1, -1).expand_as(pred)) # (maxk, N) bool + + res = [] + for k in topk: + # 把前 k 行展平后求和（返回 0-dim tensor），随后换算为百分比 + correct_k = correct[:k].reshape(-1).float().sum() # 注意：不传 keepdim + # 乘以 100.0 / batch_size，保持返回 tensor（和之前代码兼容） + res.append(correct_k.mul_(100.0 / batch_size)) + return res + +def save_checkpoint(state, is_best, save_dir, filename='checkpoint.pth'): + save_path = os.path.join(save_dir, filename) + torch.save(state, save_path) + if is_best: + best_path = os.path.join(save_dir, 'model_best.pth') + torch.save(state, best_path) + +def set_seed(seed, deterministic=False): + random.seed(seed) + np.random.seed(seed) + torch.manual_seed(seed) + torch.cuda.manual_seed_all(seed) + if deterministic: + cudnn.deterministic = True + cudnn.benchmark = False + else: + cudnn.deterministic = False + cudnn.benchmark = True + +# ---------------------------- +# Argument parser +# ---------------------------- +def parse_args(): + parser = argparse.ArgumentParser(description='Generic PyTorch training template (DDP/AMP) with LocalModel priority') + parser.add_argument('--name', default='run', type=str, help='experiment name (log/checkpoints dir)') + parser.add_argument('--seed', default=42, type=int, help='random seed') + parser.add_argument('--arch', default='None', type=str, help='model name') + parser.add_argument('--deterministic', action='store_true', help='set cudnn deterministic (may be slower)') + parser.add_argument('--dataset', default='cifar10', choices=['cifar10','cifar100','imagenet','custom'], help='which dataset') + parser.add_argument('--datapath', default='./data', type=str, help='dataset root / imagenet root / custom root') + parser.add_argument('--imagenet_dir', default='./imagenet', type=str, help='if dataset=imagenet, path to imagenet root') + parser.add_argument('--custom_eval_dir', default=None, help='if dataset=custom, provide val dir') + parser.add_argument('--num_workers', default=4, type=int, help='dataloader workers per process') + parser.add_argument('--epochs', default=200, type=int) + parser.add_argument('--steps', default=0, type=int, help='max steps to run (if >0, training will stop when global_step reaches this).') + parser.add_argument('--batch_size', default=128, type=int) + parser.add_argument('--model_name', default='resnet18', help='torchvision model name or python path e.g. mypkg.mymodule.Model (used if no local Model)') + parser.add_argument('--num_classes', default=None, type=int, help='override num classes (auto-detect for common sets)') + parser.add_argument('--pretrained', action='store_true', help='use torchvision pretrained weights when available') + parser.add_argument('--optimizer', default='sgd', choices=['sgd','adam','adamw'], help='optimizer') + parser.add_argument('--lr', '--learning_rate', default=0.1, type=float) + parser.add_argument('--momentum', default=0.9, type=float) + parser.add_argument('--weight_decay', default=5e-4, type=float) + parser.add_argument('--nesterov', action='store_true') + parser.add_argument('--scheduler', default='multistep', choices=['multistep','step','cosine','none'], help='lr scheduler') + parser.add_argument('--milestones', default='100,150', type=str, help='milestones for multistep (comma sep)') + parser.add_argument('--step_size', default=30, type=int, help='step size for StepLR or cosine max epochs') + parser.add_argument('--gamma', default=0.1, type=float) + parser.add_argument('--scheduler_step_per_batch', action='store_true', help='call scheduler.step() per batch (for some schedulers)') + parser.add_argument('--resume', default='', type=str, help='path to checkpoint to resume from') + parser.add_argument('--start_epoch', default=0, type=int) + parser.add_argument('--print_freq', default=100, type=int) + parser.add_argument('--save_freq', default=10, type=int, help='save checkpoint every N epochs (rank0 only)') + parser.add_argument('--amp', action='store_true', default = True,help='use automatic mixed precision (AMP)') + parser.add_argument('--grad_accum_steps', default=1, type=int, help='gradient accumulation steps') + parser.add_argument('--local_rank', default=None, type=int, help='local rank passed by torchrun (if any). Use -1 or None for non-distributed') + parser.add_argument('--cutmix_prob', default=0.0, type=float) + parser.add_argument('--beta', default=1.0, type=float) + parser.add_argument('--seed_sampler', default=False, action='store_true', help='set sampler epoch seeds to make deterministic distributed shuffling') + args = parser.parse_args() + args.milestones = [int(x) for x in args.milestones.split(',')] if args.milestones else [] + return args + +# ---------------------------- +# build model (优先 LocalModel) +# ---------------------------- +def build_model_with_local_priority(args, device=None): + """ + 用参数 args.arch 作为模块名导入 Model() + 如果模块不存在或没有 Model 类，则报错停止。 + """ + try: + # 动态导入模块，比如 args.arch = "rexnet" + mod = importlib.import_module(args.arch) + Model = getattr(mod, "Model") # 从模块中获取 Model 类 + except Exception as e: + raise RuntimeError( + f"无法导入模型模块 '{args.arch}' 或未找到类 Model。" + f"\n错误信息：{e}" + ) + + # 解析数据集类别数 + if args.dataset == 'cifar10': + num_classes = 10 + elif args.dataset == 'cifar100': + num_classes = 100 + else: + print(f"[ERROR] 不支持的数据集类型：{args.dataset}，无法确定类别数。程序终止。") + sys.exit(1) + + + # 实例化 + try: + model = Model(num_classes) + except Exception as e: + raise RuntimeError( + f"Model() 实例化失败，请检查模型构造函数。\n错误信息：{e}" + ) + + return model + +# ---------------------------- +# Data loader factory +# ---------------------------- +def build_dataloaders(args, rank, world_size): + if args.dataset == 'cifar10' or args.dataset == 'cifar100': + mean = (0.4914, 0.4822, 0.4465) + std = (0.2470, 0.2435, 0.2616) if args.dataset == 'cifar10' else (0.2023, 0.1994, 0.2010) + # train_transform = transforms.Compose([ + # transforms.RandomCrop(32, padding=4), + # transforms.RandomHorizontalFlip(), + # transforms.ToTensor(), + # transforms.Normalize(mean, std), + # ]) + # test_transform = transforms.Compose([ + # transforms.ToTensor(), + # transforms.Normalize(mean, std), + # ]) + + train_transform = transforms.Compose([ # 2025/12/3 从visformer模型开始 + transforms.Resize(256), # 先放大到 256 + transforms.RandomCrop(224), # 再随机裁剪为 224（更符合 ImageNet 风格增强） + transforms.RandomHorizontalFlip(), + transforms.ToTensor(), + transforms.Normalize(mean, std), + ]) + test_transform = transforms.Compose([ + transforms.Resize(256), + transforms.CenterCrop(224), + transforms.ToTensor(), + transforms.Normalize(mean, std), + ]) + root = args.datapath + if args.dataset == 'cifar10': + train_set = datasets.CIFAR10(root=root, train=True, download=False, transform=train_transform) + val_set = datasets.CIFAR10(root=root, train=False, download=False, transform=test_transform) + num_classes = 10 + else: + train_set = datasets.CIFAR100(root=root, train=True, download=False, transform=train_transform) + val_set = datasets.CIFAR100(root=root, train=False, download=False, transform=test_transform) + num_classes = 100 + + elif args.dataset == 'imagenet': + train_dir = os.path.join(args.imagenet_dir, 'train') + val_dir = os.path.join(args.imagenet_dir, 'val') + train_transform = transforms.Compose([ + transforms.RandomResizedCrop(224), + transforms.RandomHorizontalFlip(), + transforms.ToTensor(), + transforms.Normalize((0.485,0.456,0.406), (0.229,0.224,0.225)), + ]) + test_transform = transforms.Compose([ + transforms.Resize(256), + transforms.CenterCrop(224), + transforms.ToTensor(), + transforms.Normalize((0.485,0.456,0.406), (0.229,0.224,0.225)), + ]) + train_set = datasets.ImageFolder(train_dir, train_transform) + val_set = datasets.ImageFolder(val_dir, test_transform) + num_classes = args.num_classes or 1000 + + elif args.dataset == 'custom': + train_dir = os.path.join(args.datapath, 'train') + val_dir = args.custom_eval_dir or os.path.join(args.datapath, 'val') + train_transform = transforms.Compose([ + transforms.RandomResizedCrop(224), + transforms.RandomHorizontalFlip(), + transforms.ToTensor(), + ]) + test_transform = transforms.Compose([ + transforms.Resize(256), + transforms.CenterCrop(224), + transforms.ToTensor(), + ]) + train_set = datasets.ImageFolder(train_dir, train_transform) + val_set = datasets.ImageFolder(val_dir, test_transform) + num_classes = len(train_set.classes) + else: + raise ValueError("Unknown dataset") + + if dist.is_initialized() and world_size > 1: + train_sampler = DistributedSampler(train_set, num_replicas=world_size, rank=rank, shuffle=True) + else: + train_sampler = None + + train_loader = DataLoader(train_set, + batch_size=args.batch_size, + shuffle=(train_sampler is None), + num_workers=args.num_workers, + pin_memory=True, + sampler=train_sampler, + drop_last=False) + val_loader = DataLoader(val_set, + batch_size=args.batch_size, + shuffle=False, + num_workers=args.num_workers, + pin_memory=True) + + return train_loader, val_loader, num_classes, train_sampler + +# ---------------------------- +# Train & validate +# ---------------------------- +def train_one_epoch(args, epoch, model, criterion, optimizer, train_loader, device, scaler, scheduler=None, train_sampler=None, global_step_start=0, max_global_steps=None): + """ + 现在支持：若 max_global_steps 非 None，则当 global_step 达到该值时提前退出 + 返回: epoch_summary_dict, step_logs_list, global_step_end + step_logs_list: list of dicts with per-step info (for logging to CSV if需要) + """ + batch_time = AverageMeter('Time') + data_time = AverageMeter('Data') + losses = AverageMeter('Loss') + top1 = AverageMeter('Acc@1') + top5 = AverageMeter('Acc@5') + + model.train() + end = time.time() + optimizer.zero_grad() + + iters = len(train_loader) + step_logs = [] + global_step = global_step_start + + for i, (images, targets) in enumerate(train_loader): + # check global steps limit + if (max_global_steps is not None) and (global_step >= max_global_steps): + break + + data_time.update(time.time() - end) + images = images.to(device, non_blocking=True) + targets = targets.to(device, non_blocking=True) + + if args.amp: + with amp.autocast(): + outputs = model(images) + loss = criterion(outputs, targets) / args.grad_accum_steps + else: + outputs = model(images) + loss = criterion(outputs, targets) / args.grad_accum_steps + + if args.amp: + scaler.scale(loss).backward() + else: + loss.backward() + + if (i + 1) % args.grad_accum_steps == 0: + if args.amp: + scaler.step(optimizer) + scaler.update() + else: + optimizer.step() + optimizer.zero_grad() + if scheduler is not None and args.scheduler_step_per_batch: + scheduler.step() + + with torch.no_grad(): + acc1, acc5 = accuracy(outputs, targets, topk=(1,5)) + losses.update(loss.item() * args.grad_accum_steps, images.size(0)) + top1.update(acc1.item(), images.size(0)) + top5.update(acc5.item(), images.size(0)) + + batch_time.update(time.time() - end) + end = time.time() + + # increment global step AFTER processing this batch + global_step += 1 + + # per-step print (controlled by print_freq) + # 输出格式调整为：Epoch[23]:step[1/32] step_train_loss 3.0075 acc1 25.95 acc5 54.46 + # 使用 i+1 / iters 更贴近人类可读的“第几步 / 总步数（该 epoch 内）” + if ((global_step % args.print_freq == 0) or (i == iters - 1)) and ((dist.get_rank() if dist.is_initialized() else 0) == 0): + lr = optimizer.param_groups[0]['lr'] + # note: losses.val is 当前 batch 的 loss（经过 grad_accum 处理后还原），losses.avg 是到目前为止的 epoch 平均 + print(f"Epoch[{epoch}]:step[{i+1}/{iters}] step_train_loss {losses.val:.4f} acc1 {top1.val:.2f} acc5 {top5.val:.2f}") + + # collect per-step log + step_logs.append({ + 'epoch': epoch, + 'batch_idx': i, + 'global_step': global_step, + 'lr': optimizer.param_groups[0]['lr'], + 'loss': losses.val, + 'loss_avg': losses.avg, + 'acc1': top1.val, + 'acc1_avg': top1.avg, + 'acc5': top5.val, + 'acc5_avg': top5.avg, + 'time': batch_time.val + }) + + # if reached max_global_steps inside epoch, break (handled at loop start next iter) + if (max_global_steps is not None) and (global_step >= max_global_steps): + # optional message + if (dist.get_rank() if dist.is_initialized() else 0) == 0: + print(f"[Info] 达到 max_global_steps={max_global_steps}，将在 epoch 内提前停止。") + break + + if scheduler is not None and not args.scheduler_step_per_batch: + scheduler.step() + + return OrderedDict([('loss', losses.avg), ('acc1', top1.avg), ('acc5', top5.avg)]), step_logs, global_step + +def validate(args, model, val_loader, criterion, device): + losses = AverageMeter('Loss') + top1 = AverageMeter('Acc@1') + top5 = AverageMeter('Acc@5') + + model.eval() + with torch.no_grad(): + for i, (images, targets) in enumerate(tqdm(val_loader)): + images = images.to(device, non_blocking=True) + targets = targets.to(device, non_blocking=True) + outputs = model(images) + loss = criterion(outputs, targets) + acc1, acc5 = accuracy(outputs, targets, topk=(1,5)) + losses.update(loss.item(), images.size(0)) + top1.update(acc1.item(), images.size(0)) + top5.update(acc5.item(), images.size(0)) + return OrderedDict([('loss', losses.avg), ('acc1', top1.avg), ('acc5', top5.avg)]) + +# ---------------------------- +# Main +# ---------------------------- +def main(): + args = parse_args() + + # handle local_rank from env if not provided + local_rank_env = os.environ.get('LOCAL_RANK', None) + if args.local_rank is None and local_rank_env is not None: + args.local_rank = int(local_rank_env) + + distributed = (args.local_rank is not None and args.local_rank != -1) + if distributed: + dist.init_process_group(backend='nccl', init_method='env://') + rank = dist.get_rank() + world_size = dist.get_world_size() + else: + rank = 0 + world_size = 1 + + if distributed: + torch.cuda.set_device(args.local_rank) + device = torch.device('cuda', args.local_rank) + else: + device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + + set_seed(args.seed + (rank if distributed else 0), deterministic=args.deterministic) + + save_dir = os.path.join('models', args.name) + if rank == 0: + os.makedirs(save_dir, exist_ok=True) + with open(os.path.join(save_dir, 'args.json'), 'w') as f: + json.dump(vars(args), f, indent=2) + if distributed: + dist.barrier() + + train_loader, val_loader, auto_num_classes, train_sampler = build_dataloaders(args, rank, world_size) + if args.num_classes is None: + args.num_classes = auto_num_classes + + # 使用本地 Model 优先（LocalModel 已在文件顶部尝试导入） + model = build_model_with_local_priority(args, device) + model.to(device) + + if distributed: + model = DDP(model, device_ids=[args.local_rank], output_device=args.local_rank, find_unused_parameters=True) + + criterion = nn.CrossEntropyLoss().to(device) + params = [p for p in model.parameters() if p.requires_grad] + if args.optimizer == 'sgd': + optimizer = optim.SGD(params, lr=args.lr, momentum=args.momentum, + weight_decay=args.weight_decay, nesterov=args.nesterov) + elif args.optimizer == 'adam': + optimizer = optim.Adam(params, lr=args.lr, weight_decay=args.weight_decay) + elif args.optimizer == 'adamw': + optimizer = optim.AdamW(params, lr=args.lr, weight_decay=args.weight_decay) + else: + raise ValueError('Unknown optimizer') + + scheduler = None + if args.scheduler == 'multistep': + scheduler = optim.lr_scheduler.MultiStepLR(optimizer, milestones=args.milestones, gamma=args.gamma) + elif args.scheduler == 'step': + scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=args.step_size, gamma=args.gamma) + elif args.scheduler == 'cosine': + scheduler = optim.lr_scheduler.CosineAnnealingLR(optimizer, T_max=args.epochs) + elif args.scheduler == 'none': + scheduler = None + + scaler = amp.GradScaler() if args.amp else None + + start_epoch = args.start_epoch + best_acc = 0.0 + if args.resume: + if os.path.isfile(args.resume): + ckpt = torch.load(args.resume, map_location='cpu') + model_state = ckpt.get('state_dict', ckpt) + if isinstance(model, DDP): + model.module.load_state_dict(model_state) + else: + model.load_state_dict(model_state) + if 'optimizer' in ckpt: + optimizer.load_state_dict(ckpt['optimizer']) + start_epoch = ckpt.get('epoch', start_epoch) + best_acc = ckpt.get('best_acc', best_acc) + print(f"=> resumed from {args.resume}, start_epoch={start_epoch}") + else: + print(f"=> resume path {args.resume} not found") + + log_columns = ['epoch', 'lr', 'loss', 'acc1', 'acc5', 'val_loss', 'val_acc1', 'val_acc5'] + log_df = pd.DataFrame(columns=log_columns) + # step-level log + step_log_columns = ['epoch', 'batch_idx', 'global_step', 'lr', 'loss', 'loss_avg', 'acc1', 'acc1_avg', 'acc5', 'acc5_avg', 'time'] + step_log_df = pd.DataFrame(columns=step_log_columns) + + total_epochs = args.epochs + # global_step计数器（训练过程中跨epoch持续） + global_step = 0 + + epoch = start_epoch + # loop until either epoch criteria or step criteria met + while True: + if train_sampler is not None: + if args.seed_sampler: + train_sampler.set_epoch(epoch + args.seed) + else: + train_sampler.set_epoch(epoch) + + if rank == 0: + print(f"==== Epoch {epoch}/{total_epochs - 1} ====") + + # 如果传入了 args.steps (>0)，则把剩余允许的 step 数传给 train_one_epoch， + # 否则 max_global_steps=None（按整 epoch 执行完） + if args.steps and args.steps > 0: + max_global_steps = args.steps + else: + max_global_steps = None + + train_log, step_logs, global_step = train_one_epoch( + args, epoch, model, criterion, optimizer, train_loader, device, scaler, + scheduler, train_sampler, global_step_start=global_step, max_global_steps=max_global_steps + ) + + # 如果启用了按 steps 的模式且已经达到上限，直接退出 main（跳过 validate） + if max_global_steps is not None and global_step >= max_global_steps: + if rank == 0: + print(f"[Main] 达到 max_global_steps={max_global_steps}（global_step={global_step}），提前退出训练（跳过验证）。") + # 直接返回 main()，不再执行后续 validate / 保存逻辑 + return + + # 验证并记录 epoch 级别日志（如果在 step 模式下很可能在中间某个 epoch 提前结束，但我们仍做一次 validate） + val_log = validate(args, model, val_loader, criterion, device) + current_lr = optimizer.param_groups[0]['lr'] + + if rank == 0: + # epoch summary print, 格式与示例对齐 + print(f"Epoch[{epoch}]: epoch_train_loss {train_log['loss']:.4f} acc1 {train_log['acc1']:.2f} acc5 {train_log['acc5']:.2f} | " + f"val_loss {val_log['loss']:.4f} acc1 {val_log['acc1']:.2f} acc5 {val_log['acc5']:.2f} lr {current_lr:.6f}") + row = { + 'epoch': epoch, + 'lr': current_lr, + 'loss': train_log['loss'], + 'acc1': train_log['acc1'], + 'acc5': train_log['acc5'], + 'val_loss': val_log['loss'], + 'val_acc1': val_log['acc1'], + 'val_acc5': val_log['acc5'], + } + new_row_df = pd.DataFrame([row]) + log_df = pd.concat([log_df, new_row_df], ignore_index=True) + log_df.to_csv(os.path.join(save_dir, 'log.csv'), index=False) + + is_best = val_log['acc1'] > best_acc + if is_best: + best_acc = val_log['acc1'] + if (epoch % args.save_freq == 0) or is_best or ( (max_global_steps is None) and (epoch == total_epochs - 1) ) : + state = { + 'epoch': epoch, + 'state_dict': model.module.state_dict() if isinstance(model, DDP) else model.state_dict(), + 'best_acc': best_acc, + 'optimizer': optimizer.state_dict(), + 'args': vars(args) + } + save_checkpoint(state, is_best, save_dir, filename=f'checkpoint_epoch_{epoch}.pth') + + # increment epoch + epoch += 1 + + # stopping conditions: + # 1) if steps mode enabled and reached steps -> stop + if args.steps and args.steps > 0: + if global_step >= args.steps: + if rank == 0: + print(f"[Main] 已达到指定 steps={args.steps}（global_step={global_step}），训练结束。") + break + + # 2) if steps not used, stop when epoch >= epochs + else: + if epoch >= total_epochs: + if rank == 0: + print(f"[Main] 已达到指定 epochs={total_epochs}（epoch={epoch}），训练结束。") + break + + if dist.is_initialized(): + dist.barrier() + if rank == 0: + print("Training finished. Best val acc1: {:.2f}".format(best_acc)) + +if __name__ == '__main__': + main() \ No newline at end of file From 17e239fd07f168fd2d1344137466d9cae9e00d74 Mon Sep 17 00:00:00 2001 From: wangwl Date: Wed, 7 Jan 2026 06:29:34 +0000 Subject: [PATCH 2/3] fix: cleanup code and update --- .../Classification/Twins/Twins/LICENSE | 201 -- .../Classification/Twins/Twins/README.md | 168 - .../Classification/Twins/Twins/datasets.py | 114 - .../configs/_base_/datasets/coco_detection.py | 48 - .../configs/_base_/datasets/coco_instance.py | 48 - .../configs/_base_/default_runtime.py | 16 - .../configs/_base_/schedules/schedule_1x.py | 11 - .../configs/_base_/schedules/schedule_20e.py | 11 - .../configs/_base_/schedules/schedule_2x.py | 11 - ..._rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py | 10 - ...rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py | 11 - ..._rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py | 11 - ...rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py | 10 - ..._rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py | 11 - ...rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py | 10 - ...sk_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py | 9 - ...k_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py | 10 - ...sk_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py | 10 - ...sk_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py | 27 - ...k_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py | 71 - ...nanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py | 11 - .../retinanet_alt_gvt_b_fpn_3x_ms_coco.py | 11 - ...nanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py | 11 - .../retinanet_alt_gvt_l_fpn_3x_ms_coco.py | 14 - ...nanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py | 11 - .../retinanet_alt_gvt_s_fpn_3x_ms_coco.py | 11 - ...tinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py | 11 - .../retinanet_pcpvt_b_fpn_3x_ms_coco.py | 10 - ...tinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py | 10 - ...tinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py | 28 - .../retinanet_pcpvt_s_fpn_3x_ms_coco.py | 71 - .../Twins/Twins/detection/dist_test.sh | 10 - .../Twins/Twins/detection/dist_train.sh | 9 - .../Twins/Twins/detection/gvt.py | 534 --- .../Twins/Twins/detection/test.py | 213 -- .../Twins/Twins/detection/train.py | 187 - .../Classification/Twins/Twins/engine.py | 96 - .../Classification/Twins/Twins/gvt.py | 496 --- .../Classification/Twins/Twins/logger.py | 40 - .../Twins/Twins/logs/pcpvt_b.txt | 300 -- .../Twins/Twins/logs/pcpvt_l.txt | 296 -- .../Twins/Twins/logs/pcpvt_s.txt | 300 -- .../Classification/Twins/Twins/logs/svt_b.txt | 300 -- .../Classification/Twins/Twins/logs/svt_l.txt | 300 -- .../Classification/Twins/Twins/logs/svt_s.txt | 300 -- .../Twins/Twins/logs/upernet_pcpvt_b.txt | 3201 ----------------- .../Twins/Twins/logs/upernet_pcpvt_l.txt | 3201 ----------------- .../Twins/Twins/logs/upernet_pcpvt_s.txt | 3201 ----------------- .../Twins/Twins/logs/upernet_svt_b.txt | 3201 ----------------- .../Twins/Twins/logs/upernet_svt_l.txt | 3201 ----------------- .../Twins/Twins/logs/upernet_svt_s.txt | 3201 ----------------- .../Classification/Twins/Twins/losses.py | 64 - .../Classification/Twins/Twins/main.py | 384 -- .../Twins/Twins/mcloader/__init__.py | 2 - .../Twins/Twins/mcloader/classification.py | 31 - .../Twins/Twins/mcloader/data_prefetcher.py | 28 - .../Twins/Twins/mcloader/image_list.py | 44 - .../Twins/Twins/mcloader/imagenet.py | 8 - .../Twins/Twins/mcloader/mcloader.py | 36 - .../Twins/Twins/requirements.txt | 4 - .../Classification/Twins/Twins/samplers.py | 60 - .../configs/_base_/datasets/ade20k.py | 54 - .../configs/_base_/datasets/chase_db1.py | 59 - .../configs/_base_/datasets/drive.py | 59 - .../configs/_base_/datasets/hrf.py | 59 - .../configs/_base_/datasets/pascal_context.py | 60 - .../configs/_base_/datasets/pascal_voc12.py | 57 - .../_base_/datasets/pascal_voc12_aug.py | 9 - .../configs/_base_/datasets/stare.py | 59 - .../configs/_base_/default_runtime.py | 16 - .../configs/_base_/schedules/schedule_160k.py | 9 - .../configs/_base_/schedules/schedule_20k.py | 9 - .../configs/_base_/schedules/schedule_40k.py | 9 - .../configs/_base_/schedules/schedule_80k.py | 9 - .../fpn_alt_gvt_b_512x512_80k_ade20k.py | 23 - .../fpn_alt_gvt_l_512x512_80k_ade20k.py | 21 - .../fpn_alt_gvt_s_512x512_80k_ade20k.py | 21 - .../configs/fpn_pcpvt_b_512x512_80k_ade20k.py | 23 - .../configs/fpn_pcpvt_l_512x512_80k_ade20k.py | 21 - .../configs/fpn_pcpvt_s_512x512_80k_ade20k.py | 21 - ..._gvt_b_512x512_160k_ade20k_swin_setting.py | 28 - ..._gvt_l_512x512_160k_ade20k_swin_setting.py | 28 - ..._gvt_s_512x512_160k_ade20k_swin_setting.py | 27 - ...cpvt_b_512x512_160k_ade20k_swin_setting.py | 26 - ...cpvt_l_512x512_160k_ade20k_swin_setting.py | 26 - ...cpvt_s_512x512_160k_ade20k_swin_setting.py | 23 - .../Twins/Twins/segmentation/dist_test.sh | 9 - .../Twins/Twins/segmentation/dist_train.sh | 9 - .../Twins/Twins/segmentation/gvt.py | 599 --- .../Twins/Twins/segmentation/test.py | 154 - .../Twins/Twins/segmentation/train.py | 163 - .../Twins/Twins/twins_svt_s.png | Bin 400291 -> 0 bytes .../Classification/Twins/Twins/utils.py | 238 -- .../Classification/Twins/coverage.txt | 3 - .../Classification/Twins/pcpvt_loss.jpg | Bin 38578 -> 0 bytes .../Classification/Twins/pcpvt_loss.txt | 29 - PyTorch/build-in/Classification/Twins/readme | 65 + .../Twins/requirements_exact.txt | 89 + PyTorch/build-in/Classification/Twins/run | 1 - 99 files changed, 154 insertions(+), 26226 deletions(-) delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/LICENSE delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/README.md delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/datasets.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/test.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/detection/train.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/engine.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/gvt.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logger.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/losses.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/main.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/requirements.txt delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/samplers.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/twins_svt_s.png delete mode 100644 PyTorch/build-in/Classification/Twins/Twins/utils.py delete mode 100644 PyTorch/build-in/Classification/Twins/coverage.txt delete mode 100644 PyTorch/build-in/Classification/Twins/pcpvt_loss.jpg delete mode 100644 PyTorch/build-in/Classification/Twins/pcpvt_loss.txt create mode 100644 PyTorch/build-in/Classification/Twins/readme create mode 100644 PyTorch/build-in/Classification/Twins/requirements_exact.txt delete mode 100644 PyTorch/build-in/Classification/Twins/run diff --git a/PyTorch/build-in/Classification/Twins/Twins/LICENSE b/PyTorch/build-in/Classification/Twins/Twins/LICENSE deleted file mode 100644 index b1395e94b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/LICENSE +++ /dev/null @@ -1,201 +0,0 @@ - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. Definitions. - - "License" shall mean the terms and conditions for use, reproduction, - and distribution as defined by Sections 1 through 9 of this document. - - "Licensor" shall mean the copyright owner or entity authorized by - the copyright owner that is granting the License. - - "Legal Entity" shall mean the union of the acting entity and all - other entities that control, are controlled by, or are under common - control with that entity. For the purposes of this definition, - "control" means (i) the power, direct or indirect, to cause the - direction or management of such entity, whether by contract or - otherwise, or (ii) ownership of fifty percent (50%) or more of the - outstanding shares, or (iii) beneficial ownership of such entity. - - "You" (or "Your") shall mean an individual or Legal Entity - exercising permissions granted by this License. - - "Source" form shall mean the preferred form for making modifications, - including but not limited to software source code, documentation - source, and configuration files. - - "Object" form shall mean any form resulting from mechanical - transformation or translation of a Source form, including but - not limited to compiled object code, generated documentation, - and conversions to other media types. - - "Work" shall mean the work of authorship, whether in Source or - Object form, made available under the License, as indicated by a - copyright notice that is included in or attached to the work - (an example is provided in the Appendix below). - - "Derivative Works" shall mean any work, whether in Source or Object - form, that is based on (or derived from) the Work and for which the - editorial revisions, annotations, elaborations, or other modifications - represent, as a whole, an original work of authorship. For the purposes - of this License, Derivative Works shall not include works that remain - separable from, or merely link (or bind by name) to the interfaces of, - the Work and Derivative Works thereof. - - "Contribution" shall mean any work of authorship, including - the original version of the Work and any modifications or additions - to that Work or Derivative Works thereof, that is intentionally - submitted to Licensor for inclusion in the Work by the copyright owner - or by an individual or Legal Entity authorized to submit on behalf of - the copyright owner. For the purposes of this definition, "submitted" - means any form of electronic, verbal, or written communication sent - to the Licensor or its representatives, including but not limited to - communication on electronic mailing lists, source code control systems, - and issue tracking systems that are managed by, or on behalf of, the - Licensor for the purpose of discussing and improving the Work, but - excluding communication that is conspicuously marked or otherwise - designated in writing by the copyright owner as "Not a Contribution." - - "Contributor" shall mean Licensor and any individual or Legal Entity - on behalf of whom a Contribution has been received by Licensor and - subsequently incorporated within the Work. - - 2. Grant of Copyright License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - copyright license to reproduce, prepare Derivative Works of, - publicly display, publicly perform, sublicense, and distribute the - Work and such Derivative Works in Source or Object form. - - 3. Grant of Patent License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - (except as stated in this section) patent license to make, have made, - use, offer to sell, sell, import, and otherwise transfer the Work, - where such license applies only to those patent claims licensable - by such Contributor that are necessarily infringed by their - Contribution(s) alone or by combination of their Contribution(s) - with the Work to which such Contribution(s) was submitted. If You - institute patent litigation against any entity (including a - cross-claim or counterclaim in a lawsuit) alleging that the Work - or a Contribution incorporated within the Work constitutes direct - or contributory patent infringement, then any patent licenses - granted to You under this License for that Work shall terminate - as of the date such litigation is filed. - - 4. Redistribution. You may reproduce and distribute copies of the - Work or Derivative Works thereof in any medium, with or without - modifications, and in Source or Object form, provided that You - meet the following conditions: - - (a) You must give any other recipients of the Work or - Derivative Works a copy of this License; and - - (b) You must cause any modified files to carry prominent notices - stating that You changed the files; and - - (c) You must retain, in the Source form of any Derivative Works - that You distribute, all copyright, patent, trademark, and - attribution notices from the Source form of the Work, - excluding those notices that do not pertain to any part of - the Derivative Works; and - - (d) If the Work includes a "NOTICE" text file as part of its - distribution, then any Derivative Works that You distribute must - include a readable copy of the attribution notices contained - within such NOTICE file, excluding those notices that do not - pertain to any part of the Derivative Works, in at least one - of the following places: within a NOTICE text file distributed - as part of the Derivative Works; within the Source form or - documentation, if provided along with the Derivative Works; or, - within a display generated by the Derivative Works, if and - wherever such third-party notices normally appear. The contents - of the NOTICE file are for informational purposes only and - do not modify the License. You may add Your own attribution - notices within Derivative Works that You distribute, alongside - or as an addendum to the NOTICE text from the Work, provided - that such additional attribution notices cannot be construed - as modifying the License. - - You may add Your own copyright statement to Your modifications and - may provide additional or different license terms and conditions - for use, reproduction, or distribution of Your modifications, or - for any such Derivative Works as a whole, provided Your use, - reproduction, and distribution of the Work otherwise complies with - the conditions stated in this License. - - 5. Submission of Contributions. Unless You explicitly state otherwise, - any Contribution intentionally submitted for inclusion in the Work - by You to the Licensor shall be under the terms and conditions of - this License, without any additional terms or conditions. - Notwithstanding the above, nothing herein shall supersede or modify - the terms of any separate license agreement you may have executed - with Licensor regarding such Contributions. - - 6. Trademarks. This License does not grant permission to use the trade - names, trademarks, service marks, or product names of the Licensor, - except as required for reasonable and customary use in describing the - origin of the Work and reproducing the content of the NOTICE file. - - 7. Disclaimer of Warranty. Unless required by applicable law or - agreed to in writing, Licensor provides the Work (and each - Contributor provides its Contributions) on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or - implied, including, without limitation, any warranties or conditions - of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A - PARTICULAR PURPOSE. You are solely responsible for determining the - appropriateness of using or redistributing the Work and assume any - risks associated with Your exercise of permissions under this License. - - 8. Limitation of Liability. In no event and under no legal theory, - whether in tort (including negligence), contract, or otherwise, - unless required by applicable law (such as deliberate and grossly - negligent acts) or agreed to in writing, shall any Contributor be - liable to You for damages, including any direct, indirect, special, - incidental, or consequential damages of any character arising as a - result of this License or out of the use or inability to use the - Work (including but not limited to damages for loss of goodwill, - work stoppage, computer failure or malfunction, or any and all - other commercial damages or losses), even if such Contributor - has been advised of the possibility of such damages. - - 9. Accepting Warranty or Additional Liability. While redistributing - the Work or Derivative Works thereof, You may choose to offer, - and charge a fee for, acceptance of support, warranty, indemnity, - or other liability obligations and/or rights consistent with this - License. However, in accepting such obligations, You may act only - on Your own behalf and on Your sole responsibility, not on behalf - of any other Contributor, and only if You agree to indemnify, - defend, and hold each Contributor harmless for any liability - incurred by, or claims asserted against, such Contributor by reason - of your accepting any such warranty or additional liability. - - END OF TERMS AND CONDITIONS - - APPENDIX: How to apply the Apache License to your work. - - To apply the Apache License to your work, attach the following - boilerplate notice, with the fields enclosed by brackets "[]" - replaced with your own identifying information. (Don't include - the brackets!) The text should be enclosed in the appropriate - comment syntax for the file format. We also recommend that a - file or class name and description of purpose be included on the - same "printed page" as the copyright notice for easier - identification within third-party archives. - - Copyright 2020 - present, Facebook, Inc - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. diff --git a/PyTorch/build-in/Classification/Twins/Twins/README.md b/PyTorch/build-in/Classification/Twins/Twins/README.md deleted file mode 100644 index 9aaeadd75..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/README.md +++ /dev/null @@ -1,168 +0,0 @@ -# [NeurIPS 2021] Twins: Revisiting the Design of Spatial Attention in Vision Transformers - -[![NeurIPS](https://img.shields.io/badge/NeurIPS2021-5kTlVBkzSRx-%238c1b13)](https://openreview.net/forum?id=5kTlVBkzSRx) - -Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their success in these tasks. In this work, we revisit the design of the spatial attention and demonstrate that a carefully-devised yet simple spatial attention mechanism performs favourably against the state-of-the-art schemes. As a result, we propose two vision transformer architectures, namely, Twins- PCPVT and Twins-SVT. Our proposed architectures are highly-efficient and easy to implement, only involving matrix multiplications that are highly optimized in modern deep learning frameworks. More importantly, the proposed architectures achieve excellent performance on a wide range of visual tasks including image- level classification as well as dense detection and segmentation. The simplicity and strong performance suggest that our proposed architectures may serve as stronger backbones for many vision tasks. - -![Twins-SVT-S](twins_svt_s.png) -Figure 1. Twins-SVT-S Architecture (Right side shows the inside of two consecutive Transformer Encoders). - - -# Usage - -First, clone the repository locally: -``` -git clone https://github.com/Meituan-AutoML/Twins.git -``` -Then, install PyTorch 1.7.0+ and torchvision 0.8.1+ and [pytorch-image-models==0.3.2](https://github.com/rwightman/pytorch-image-models): - -``` -conda install -c pytorch pytorch torchvision -pip install timm==0.3.2 -``` -## Data preparation - -Download and extract ImageNet train and val images from http://image-net.org/. -The directory structure is the standard layout for the torchvision [`datasets.ImageFolder`](https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder), and the training and validation data is expected to be in the `train/` folder and `val` folder respectively: - -``` -/path/to/imagenet/ - train/ - class1/ - img1.jpeg - class2/ - img2.jpeg - val/ - class1/ - img3.jpeg - class/2 - img4.jpeg -``` -## Model Zoo - -### Image Classification - -We provide a series of Twins models pretrained on ILSVRC2012 ImageNet-1K dataset. - -| Model | Alias in the paper | Acc@1 | FLOPs(G)|#Params (M) | URL | Log | -| --- | --- | --- | --- | --- |--- |---| -| PCPVT-Small| Twins-PCPVT-S | 81.2 | 3.7 | 24.1 | [pcpvt_small.pth](https://drive.google.com/file/d/1TWIx_8M-4y6UOKtbCgm1v-UVQ-_lYe6X/view?usp=sharing) | [pcpvt_s.txt](/logs/pcpvt_s.txt) -| PCPVT-Base | Twins-PCPVT-B | 82.7 | 6.4 | 43.8 | [pcpvt_base.pth](https://drive.google.com/file/d/1BsD3ZRivvPsHoZB1AX-tbirFLtCln8ky/view?usp=sharing) | [pcpvt_b.txt](/logs/pcpvt_b.txt) -| PCPVT-Large| Twins-PCPVT-L | 83.1 | 9.5 | 60.9 | [pcpvt_large.pth](https://drive.google.com/file/d/17xZXOWEcSGs0quBmMEkBYCxjPRYH-L45/view?usp=sharing) | [pcpvt_l.txt](/logs/pcpvt_l.txt) -| ALTGVT-Small | Twins-SVT-S | 81.7 | 2.8 | 24 | [alt_gvt_small.pth](https://drive.google.com/file/d/131SVOphM_-SaBytf4kWjo3ony5hpOt4S/view?usp=sharing) |[svt_s.txt](/logs/svt_s.txt) -| ALTGVT-Base | Twins-SVT-B | 83.2 | 8.3 | 56 | [alt_gvt_base.pth](https://drive.google.com/file/d/1s83To8xgDWY6Ad8VBP3Nx9gqY709rrGu/view?usp=sharing)|[svt_b.txt](/logs/svt_b.txt) -| ALTGVT-Large | Twins-SVT-L | 83.7 | 14.8 | 99.2 | [alt_gvt_large.pth](https://drive.google.com/file/d/1um39wxIaicmOquP2fr_SiZdxNCUou8w-/view?usp=sharing)|[svt_l.txt](/logs/svt_l.txt) - -#### Training - -To train Twins-SVT-B on ImageNet using 8 gpus for 300 epochs, run - -```python -python -m torch.distributed.launch --nproc_per_node=8 --use_env main.py --model alt_gvt_base --batch-size 128 --data-path path_to_imagenet --dist-eval --drop-path 0.3 -``` - -#### Evaluation - -To evaluate the performance of Twins-SVT-L on ImageNet using one GPU, run - -```python -python main.py --eval --resume alt_gvt_large.pth --model alt_gvt_large --data-path path_to_imagenet -``` - -This should give - -``` -* Acc@1 83.660 Acc@5 96.512 loss 0.722 -Accuracy of the network on the 50000 test images: 83.7% -``` -### Semantic Segmentation - -Our code is based on [mmsegmentation](https://github.com/open-mmlab/mmsegmentation). Please install mmsegmentation first. - -We provide a series of Twins models and training logs trained on the Ade20k dataset. It's easy to extend it to -other datasets and segmentation methods. - -| Model | Alias in the paper | mIoU(ss/ms) | FLOPs(G)|#Params (M) | URL | Log | -| --- | --- | --- | --- | --- |--- |---| -| PCPVT-Small| Twins-PCPVT-S | 46.2/47.5 | 234 | 54.6 | [pcpvt_small.pth](https://drive.google.com/file/d/1PkkBULZZUhIkFKq_D9db1DXUIHwIPlvp/view?usp=sharing) | [pcpvt_s.txt](/logs/upernet_pcpvt_s.txt) -| PCPVT-Base | Twins-PCPVT-B | 47.1/48.4 | 250 | 74.3 | [pcpvt_base.pth](https://drive.google.com/file/d/16sCd0slLLz6xt3C2ma3TkS9rpMS9eezT/view?usp=sharing) | [pcpvt_b.txt](/logs/upernet_pcpvt_b.txt) -| PCPVT-Large| Twins-PCPVT-L | 48.6/49.8 | 269 | 91.5 | [pcpvt_large.pth](https://drive.google.com/file/d/1wsU9riWBiN22fyfsJCHDFhLyP2c_n8sk/view?usp=sharing) | [pcpvt_l.txt](/logs/upernet_pcpvt_l.txt) -| ALTGVT-Small | Twins-SVT-S | 46.2/47.1 | 228 | 54.4 | [alt_gvt_small.pth](https://drive.google.com/file/d/18OhG0sbAJ5okPj0zn-8YTydKG9jS8TUx/view?usp=sharing) |[svt_s.txt](/logs/upernet_svt_s.txt) -| ALTGVT-Base | Twins-SVT-B | 47.4/48.9 | 261 | 88.5 | [alt_gvt_base.pth](https://drive.google.com/file/d/1LNtdvACihmKO6XyBPoJDxbrd6AuHVVvq/view?usp=sharing)|[svt_b.txt](/logs/upernet_svt_b.txt) -| ALTGVT-Large | Twins-SVT-L | 48.8/50.2 | 297 | 133 | [alt_gvt_large.pth](https://drive.google.com/file/d/1xS91hytfzuMZ5Rgb-W-cOJ9G7ptjVwlO/view?usp=sharing)|[svt_l.txt](/logs/upernet_svt_l.txt) - -#### Training -To train Twins-PCPVT-Large on Ade20k using 8 gpus for 160k iterations with a global batch size of 16, run - -```bash - bash dist_train.sh configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py 8 -``` - -#### Evaluation -To evaluate Twins-PCPVT-Large on Ade20k using 8 gpus (single scale), run -```bash -bash dist_test.sh configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py checkpoint_file 8 --eval mIoU -``` -To evaluate Twins-PCPVT-Large on Ade20k using 8 gpus (multi scale), run -```bash -bash dist_test.sh configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py checkpoint_file 8 --eval mIoU --aug-test -``` - -### Detection -Our code is based on [mmdetection](https://github.com/open-mmlab/mmdetection). Please install [mmdetection](https://github.com/open-mmlab/mmdetection/blob/master/docs/get_started.md) first (we use v2.8.0). -We use both Mask R-CNN and RetinaNet to evaluate our method. It's easy to apply Twins in other detectors provided by mmdetection based on our examples. - -#### Training -To train Twins-SVT-Small on COCO with 8 gpus for 1x schedule (PVT setting) under the framework of Mask R-CNN, run - -```bash - bash dist_train.sh configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py 8 -``` - -To train Twins-SVT-Small on COCO with 8 gpus for 3x schedule (Swin setting) under the framework of Mask R-CNN, run - -```bash - bash dist_train.sh configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py 8 -``` - -#### Evaluation - -To evaluate the mAP of Twins-SVT-Small on COCO using 8 gpus based on the Retina framework, run -```bash -bash dist_test.sh configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py checkpoint_file 8 --eval mAP - -``` - -## Citation -If you find this project useful in your research, please consider cite the following, - -Twins: - -``` -@inproceedings{chu2021Twins, - title={Twins: Revisiting the Design of Spatial Attention in Vision Transformers}, - author={Xiangxiang Chu and Zhi Tian and Yuqing Wang and Bo Zhang and Haibing Ren and Xiaolin Wei and Huaxia Xia and Chunhua Shen}, - booktitle={NeurIPS 2021}, - url={https://openreview.net/forum?id=5kTlVBkzSRx}, - year={2021} -} -``` -CPVT: -``` -@inproceedings{chu2023CPVT, - title={Conditional Positional Encodings for Vision Transformers}, - author={Xiangxiang Chu and Zhi Tian and Bo Zhang and Xinlong Wang and Chunhua Shen}, - booktitle={ICLR 2023}, - url={https://openreview.net/forum?id=3KWnuT-R1bh}, - year={2023} -} -``` - -## Acknowledgement - -We heavily borrow the code from [DeiT](https://github.com/facebookresearch/deit) and [PVT](https://github.com/whai362/PVT). -We test throughputs as in [Swin Transformer](https://github.com/microsoft/Swin-Transformer). - -## License -This repository is released under the Apache 2.0 license as found in the [LICENSE](LICENSE) file. - diff --git a/PyTorch/build-in/Classification/Twins/Twins/datasets.py b/PyTorch/build-in/Classification/Twins/Twins/datasets.py deleted file mode 100644 index 3ad52dd05..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/datasets.py +++ /dev/null @@ -1,114 +0,0 @@ -import os -import json - -from torchvision import datasets, transforms -from torchvision.datasets.folder import ImageFolder, default_loader - -from timm.data.constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD -from timm.data import create_transform -from mcloader import ClassificationDataset - - -class INatDataset(ImageFolder): - def __init__(self, root, train=True, year=2018, transform=None, target_transform=None, - category='name', loader=default_loader): - self.transform = transform - self.loader = loader - self.target_transform = target_transform - self.year = year - # assert category in ['kingdom','phylum','class','order','supercategory','family','genus','name'] - path_json = os.path.join(root, f'{"train" if train else "val"}{year}.json') - with open(path_json) as json_file: - data = json.load(json_file) - - with open(os.path.join(root, 'categories.json')) as json_file: - data_catg = json.load(json_file) - - path_json_for_targeter = os.path.join(root, f"train{year}.json") - - with open(path_json_for_targeter) as json_file: - data_for_targeter = json.load(json_file) - - targeter = {} - indexer = 0 - for elem in data_for_targeter['annotations']: - king = [] - king.append(data_catg[int(elem['category_id'])][category]) - if king[0] not in targeter.keys(): - targeter[king[0]] = indexer - indexer += 1 - self.nb_classes = len(targeter) - - self.samples = [] - for elem in data['images']: - cut = elem['file_name'].split('/') - target_current = int(cut[2]) - path_current = os.path.join(root, cut[0], cut[2], cut[3]) - - categors = data_catg[target_current] - target_current_true = targeter[categors[category]] - self.samples.append((path_current, target_current_true)) - - # __getitem__ and __len__ inherited from ImageFolder - - -def build_dataset(is_train, args): - transform = build_transform(is_train, args) - - if args.data_set == 'CIFAR': - dataset = datasets.CIFAR100(args.data_path, train=is_train, transform=transform) - nb_classes = 100 - elif args.data_set == 'IMNET': - if not args.use_mcloader: - root = os.path.join(args.data_path, 'train' if is_train else 'val') - dataset = datasets.ImageFolder(root, transform=transform) - else: - dataset = ClassificationDataset( - 'train' if is_train else 'val', - pipeline=transform - ) - nb_classes = 1000 - elif args.data_set == 'INAT': - dataset = INatDataset(args.data_path, train=is_train, year=2018, - category=args.inat_category, transform=transform) - nb_classes = dataset.nb_classes - elif args.data_set == 'INAT19': - dataset = INatDataset(args.data_path, train=is_train, year=2019, - category=args.inat_category, transform=transform) - nb_classes = dataset.nb_classes - - return dataset, nb_classes - - -def build_transform(is_train, args): - resize_im = args.input_size > 32 - if is_train: - # this should always dispatch to transforms_imagenet_train - transform = create_transform( - input_size=args.input_size, - is_training=True, - color_jitter=args.color_jitter, - auto_augment=args.aa, - interpolation=args.train_interpolation, - re_prob=args.reprob, - re_mode=args.remode, - re_count=args.recount, - ) - if not resize_im: - # replace RandomResizedCropAndInterpolation with - # RandomCrop - transform.transforms[0] = transforms.RandomCrop( - args.input_size, padding=4) - return transform - - t = [] - if resize_im: - size = int((256 / 224) * args.input_size) - t.append( - transforms.Resize(size, interpolation=3), # to maintain same ratio w.r.t. 224 images - ) - t.append(transforms.CenterCrop(args.input_size)) - - t.append(transforms.ToTensor()) - t.append(transforms.Normalize(IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD)) - return transforms.Compose(t) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py deleted file mode 100644 index b0059a6bc..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_detection.py +++ /dev/null @@ -1,48 +0,0 @@ -dataset_type = 'CocoDataset' -data_root = 'data/coco/' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations', with_bbox=True), - dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), - dict(type='RandomFlip', flip_ratio=0.5), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=32), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']), -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=(1333, 800), - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=32), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']), - ]) -] -data = dict( - samples_per_gpu=2, - workers_per_gpu=6, - train=dict( - type=dataset_type, - ann_file=data_root + 'annotations/instances_train2017.json', - img_prefix=data_root + 'train2017/', - pipeline=train_pipeline), - val=dict( - type=dataset_type, - ann_file=data_root + 'annotations/instances_val2017.json', - img_prefix=data_root + 'val2017/', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - ann_file=data_root + 'annotations/instances_val2017.json', - img_prefix=data_root + 'val2017/', - pipeline=test_pipeline)) -evaluation = dict(interval=1, metric='bbox') diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py deleted file mode 100644 index a9f1aebbf..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/datasets/coco_instance.py +++ /dev/null @@ -1,48 +0,0 @@ -dataset_type = 'CocoDataset' -data_root = 'data/coco/' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations', with_bbox=True, with_mask=True), - dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), - dict(type='RandomFlip', flip_ratio=0.5), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=32), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']), -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=(1333, 800), - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=32), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']), - ]) -] -data = dict( - samples_per_gpu=2, - workers_per_gpu=6, - train=dict( - type=dataset_type, - ann_file=data_root + 'annotations/instances_train2017.json', - img_prefix=data_root + 'train2017/', - pipeline=train_pipeline), - val=dict( - type=dataset_type, - ann_file=data_root + 'annotations/instances_val2017.json', - img_prefix=data_root + 'val2017/', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - ann_file=data_root + 'annotations/instances_val2017.json', - img_prefix=data_root + 'val2017/', - pipeline=test_pipeline)) -evaluation = dict(metric=['bbox', 'segm']) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py deleted file mode 100644 index 8dcaa31aa..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/default_runtime.py +++ /dev/null @@ -1,16 +0,0 @@ -checkpoint_config = dict(interval=1) -# yapf:disable -log_config = dict( - interval=50, - hooks=[ - dict(type='TextLoggerHook'), - # dict(type='TensorboardLoggerHook') - ]) -# yapf:enable -dist_params = dict(backend='nccl') -log_level = 'INFO' -load_from = None -resume_from = None -workflow = [('train', 1)] -#fp16 = dict(loss_scale=512.) -find_unused_parameters = True diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py deleted file mode 100644 index f0ae6ee22..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_1x.py +++ /dev/null @@ -1,11 +0,0 @@ -# optimizer -optimizer = dict(type='SGD', lr=0.02, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) -# learning policy -lr_config = dict( - policy='step', - warmup='linear', - warmup_iters=500, - warmup_ratio=0.001, - step=[8, 11]) -runner = dict(type='EpochBasedRunner', max_epochs=12) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py deleted file mode 100644 index 00e859022..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_20e.py +++ /dev/null @@ -1,11 +0,0 @@ -# optimizer -optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) -# learning policy -lr_config = dict( - policy='step', - warmup='linear', - warmup_iters=500, - warmup_ratio=0.001, - step=[16, 19]) -runner = dict(type='EpochBasedRunner', max_epochs=20) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py deleted file mode 100644 index 69dc9ee80..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/_base_/schedules/schedule_2x.py +++ /dev/null @@ -1,11 +0,0 @@ -# optimizer -optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) -# learning policy -lr_config = dict( - policy='step', - warmup='linear', - warmup_iters=500, - warmup_ratio=0.001, - step=[16, 22]) -runner = dict(type='EpochBasedRunner', max_epochs=24) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 3ef8fe483..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,10 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_base.pth', - backbone=dict( - type='alt_gvt_base', - style='pytorch'), - neck=dict( - in_channels=[96, 192, 384, 768], - out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py deleted file mode 100644 index b4774057a..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_b_fpn_3x_coco_swin_setting.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_base.pth', - backbone=dict( - _delete_=True, - type='alt_gvt_base', - style='pytorch'), - neck=dict( - in_channels=[96, 192, 384, 768], - out_channels=256)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 04667293d..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_large.pth', - backbone=dict( - type='alt_gvt_large', - style='pytorch'), - neck=dict( - in_channels=[128, 256, 512, 1024], - out_channels=256,)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py deleted file mode 100644 index 24833321e..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_l_fpn_3x_coco_swin_setting.py +++ /dev/null @@ -1,10 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_large.pth', - backbone=dict( - type='alt_gvt_large', - style='pytorch'), - neck=dict( - in_channels=[128, 256, 512, 1024], - out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 408013de7..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_small.pth', - backbone=dict( - type='alt_gvt_small', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 256, 512], - out_channels=256)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py deleted file mode 100644 index 3818dc30b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_alt_gvt_s_fpn_3x_coco_swin_setting.py +++ /dev/null @@ -1,10 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_small.pth', - backbone=dict( - type='alt_gvt_small', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 256, 512], - out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 12ba3e726..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,9 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' -model = dict( - pretrained='pretrained/pcpvt_base.pth', - backbone=dict( - type='pcpvt_base', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 320, 512], - out_channels=256)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py deleted file mode 100644 index 57756445b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_b_fpn_3x_coco_swin_setting.py +++ /dev/null @@ -1,10 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py' -model = dict( - pretrained='pretrained/pcpvt_base.pth', - backbone=dict( - type='pcpvt_base', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 320, 512], - out_channels=256)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 5c4ef84af..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_l_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,10 +0,0 @@ -_base_ = './mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/pcpvt_large.pth', - backbone=dict( - type='pcpvt_large', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 320, 512], - out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 44299e777..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,27 +0,0 @@ -_base_ = [ - '../configs/_base_/models/mask_rcnn_r50_fpn.py', - '../configs/_base_/datasets/coco_instance.py', - # '../configs/_base_/schedules/schedule_1x.py', - '../configs/_base_/default_runtime.py' -] -model = dict( - pretrained='pretrained/pcpvt_small.pth', - backbone=dict( - type='pcpvt_small', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 320, 512], - out_channels=256, - num_outs=5)) -# optimizer -optimizer = dict(type='AdamW', lr=0.0002, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) -# learning policy -lr_config = dict( - policy='step', - warmup='linear', - warmup_iters=500, - warmup_ratio=0.001, - step=[8, 11]) -total_epochs = 12 diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py deleted file mode 100644 index 52aec282b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/mask_rcnn_pcpvt_s_fpn_3x_coco_swin_setting.py +++ /dev/null @@ -1,71 +0,0 @@ -_base_ = [ - '../configs/_base_/models/mask_rcnn_r50_fpn.py', - '../configs/_base_/datasets/coco_instance.py', - '../configs/_base_/schedules/schedule_1x.py', - '../configs/_base_/default_runtime.py' -] - -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) - -# augmentation strategy originates from DETR / Sparse RCNN -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations', with_bbox=True, with_mask=True), - dict(type='RandomFlip', flip_ratio=0.5), - dict(type='AutoAugment', - policies=[ - [ - dict(type='Resize', - img_scale=[(480, 1333), (512, 1333), (544, 1333), (576, 1333), - (608, 1333), (640, 1333), (672, 1333), (704, 1333), - (736, 1333), (768, 1333), (800, 1333)], - multiscale_mode='value', - keep_ratio=True) - ], - [ - dict(type='Resize', - img_scale=[(400, 1333), (500, 1333), (600, 1333)], - multiscale_mode='value', - keep_ratio=True), - dict(type='RandomCrop', - crop_type='absolute_range', - crop_size=(384, 600), - allow_negative_crop=True), - dict(type='Resize', - img_scale=[(480, 1333), (512, 1333), (544, 1333), - (576, 1333), (608, 1333), (640, 1333), - (672, 1333), (704, 1333), (736, 1333), - (768, 1333), (800, 1333)], - multiscale_mode='value', - override=True, - keep_ratio=True) - ] - ]), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=32), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']), -] -data = dict(train=dict(pipeline=train_pipeline)) - -optimizer = dict(_delete_=True, type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) - -model = dict( - pretrained='pretrained/pcpvt_small.pth', - backbone=dict( - type='pcpvt_small', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 320, 512], - out_channels=256, - num_outs=5)) -# optimizer -# learning policy -lr_config = dict(step=[27, 33]) -runner = dict(type='EpochBasedRunner', max_epochs=36) -total_epochs = 36 -fp16 = dict(loss_scale=512.) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 5bbbba920..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_base.pth', - backbone=dict( - type='alt_gvt_base', - style='pytorch'), - neck=dict( - in_channels=[96, 192, 384, 768], - out_channels=256,)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py deleted file mode 100644 index 4f5458ebf..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_b_fpn_3x_ms_coco.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' - -model = dict( - pretrained='pretrained/alt_gvt_base.pth', - backbone=dict( - type='alt_gvt_base', - style='pytorch'), - neck=dict( - in_channels=[96, 192, 384, 768], - out_channels=256,)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 9e513c64c..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_large.pth', - backbone=dict( - type='alt_gvt_large', - style='pytorch'), - neck=dict( - in_channels=[128, 256, 512, 1024], - out_channels=256,)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py deleted file mode 100644 index 6497d64cc..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_l_fpn_3x_ms_coco.py +++ /dev/null @@ -1,14 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' - -model = dict( - pretrained='pretrained/alt_gvt_large.pth', - backbone=dict( - type='alt_gvt_large', - style='pytorch'), - neck=dict( - in_channels=[128, 256, 512, 1024], - out_channels=256,)) - - - - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 711ca2427..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/alt_gvt_small.pth', - backbone=dict( - type='alt_gvt_small', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 256, 512], - out_channels=256,)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py deleted file mode 100644 index 3d8cb9610..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_alt_gvt_s_fpn_3x_ms_coco.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' - -model = dict( - pretrained='pretrained/alt_gvt_small.pth', - backbone=dict( - type='alt_gvt_small', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 256, 512], - out_channels=256) -) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 0031af634..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,11 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/pcpvt_base.pth', - backbone=dict( - type='pcpvt_base', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 320, 512], - out_channels=256,)) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py deleted file mode 100644 index 936fbfcb8..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_b_fpn_3x_ms_coco.py +++ /dev/null @@ -1,10 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_3x_ms_coco.py' - -model = dict( - pretrained='pretrained/pcpvt_base.pth', - backbone=dict( - type='pcpvt_base', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 320, 512], - out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 60c861f24..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_l_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,10 +0,0 @@ -_base_ = './retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py' - -model = dict( - pretrained='pretrained/pcpvt_large.pth', - backbone=dict( - type='pcpvt_large', - style='pytorch'), - neck=dict( - in_channels=[64, 128, 320, 512], - out_channels=256,)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py deleted file mode 100644 index 4a140f0da..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_1x_coco_pvt_setting.py +++ /dev/null @@ -1,28 +0,0 @@ -_base_ = [ - '_base_/models/retinanet_r50_fpn.py', - '_base_/datasets/coco_detection.py', - '_base_/default_runtime.py' -] -model = dict( - pretrained='pretrained/pcpvt_small.pth', - backbone=dict( - type='pcpvt_small', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 320, 512], - out_channels=256, - start_level=1, - add_extra_convs='on_input', - num_outs=5)) -# optimizer -optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) -# learning policy -lr_config = dict( - policy='step', - warmup='linear', - warmup_iters=500, - warmup_ratio=0.001, - step=[8, 11]) -total_epochs = 12 diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py b/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py deleted file mode 100644 index 16bea7b53..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/configs/retinanet_pcpvt_s_fpn_3x_ms_coco.py +++ /dev/null @@ -1,71 +0,0 @@ -_base_ = [ - '_base_/models/retinanet_r50_fpn.py', - '_base_/datasets/coco_detection.py', - '../configs/_base_/schedules/schedule_1x.py', - '../configs/_base_/default_runtime.py' -] - -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) - -# augmentation strategy originates from DETR / Sparse RCNN -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations', with_bbox=True, with_mask=True), - dict(type='RandomFlip', flip_ratio=0.5), - dict(type='AutoAugment', - policies=[ - [ - dict(type='Resize', - img_scale=[(480, 1333), (512, 1333), (544, 1333), (576, 1333), - (608, 1333), (640, 1333), (672, 1333), (704, 1333), - (736, 1333), (768, 1333), (800, 1333)], - multiscale_mode='value', - keep_ratio=True) - ], - [ - dict(type='Resize', - img_scale=[(400, 1333), (500, 1333), (600, 1333)], - multiscale_mode='value', - keep_ratio=True), - dict(type='RandomCrop', - crop_type='absolute_range', - crop_size=(384, 600), - allow_negative_crop=True), - dict(type='Resize', - img_scale=[(480, 1333), (512, 1333), (544, 1333), - (576, 1333), (608, 1333), (640, 1333), - (672, 1333), (704, 1333), (736, 1333), - (768, 1333), (800, 1333)], - multiscale_mode='value', - override=True, - keep_ratio=True) - ] - ]), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size_divisor=32), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']), -] -data = dict(train=dict(pipeline=train_pipeline)) - -optimizer = dict(_delete_=True, type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) -model = dict( - pretrained='pretrained/pcpvt_small.pth', - backbone=dict( - type='pcpvt_small', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 320, 512], - out_channels=256, - start_level=1, - add_extra_convs='on_input', - num_outs=5)) -# optimizer -# learning policy -lr_config = dict(step=[27, 33]) -runner = dict(type='EpochBasedRunner', max_epochs=36) -total_epochs = 36 diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh b/PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh deleted file mode 100644 index 3c74ec6ec..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/dist_test.sh +++ /dev/null @@ -1,10 +0,0 @@ -#!/usr/bin/env bash - -CONFIG=$1 -CHECKPOINT=$2 -GPUS=$3 -PORT=${PORT:-29500} - -PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ -python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ - $(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4} diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh b/PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh deleted file mode 100644 index 5b43fffbf..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/dist_train.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/usr/bin/env bash - -CONFIG=$1 -GPUS=$2 -PORT=${PORT:-29500} - -PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ -python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ - $(dirname "$0")/train.py $CONFIG --launcher pytorch ${@:3} diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py b/PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py deleted file mode 100644 index bd7c81f7d..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/gvt.py +++ /dev/null @@ -1,534 +0,0 @@ -import torch -import torch.nn as nn -import torch.nn.functional as F -from functools import partial - -from timm.models.layers import DropPath, to_2tuple, trunc_normal_ -from timm.models.registry import register_model -from timm.models.vision_transformer import _cfg -from mmdet.models.builder import BACKBONES -from mmdet.utils import get_root_logger -from mmcv.runner import load_checkpoint -from timm.models.vision_transformer import Block as TimmBlock -from timm.models.vision_transformer import Attention as TimmAttention -from mmcv.runner import (auto_fp16, force_fp32,) - - -class Mlp(nn.Module): - def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): - super().__init__() - out_features = out_features or in_features - hidden_features = hidden_features or in_features - self.fc1 = nn.Linear(in_features, hidden_features) - self.act = act_layer() - self.fc2 = nn.Linear(hidden_features, out_features) - self.drop = nn.Dropout(drop) - - def forward(self, x): - x = self.fc1(x) - x = self.act(x) - x = self.drop(x) - x = self.fc2(x) - x = self.drop(x) - return x - - -class GroupAttention(nn.Module): - def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., ws=1, sr_ratio=1.0): - """ - ws 1 for stand attention - """ - super(GroupAttention, self).__init__() - assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." - - self.dim = dim - self.num_heads = num_heads - head_dim = dim // num_heads - self.scale = qk_scale or head_dim ** -0.5 - - self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) - self.attn_drop = nn.Dropout(attn_drop) - self.proj = nn.Linear(dim, dim) - self.proj_drop = nn.Dropout(proj_drop) - self.ws = ws - - @auto_fp16() - def forward(self, x, H, W): - B, N, C = x.shape - x = x.view(B, H, W, C) - pad_l = pad_t = 0 - pad_r = (self.ws - W % self.ws) % self.ws - pad_b = (self.ws - H % self.ws) % self.ws - x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b)) - _, Hp, Wp, _ = x.shape - _h, _w = Hp // self.ws, Wp // self.ws - x = x.reshape(B, _h, self.ws, _w, self.ws, C).transpose(2, 3) - qkv = self.qkv(x).reshape(B, _h * _w, self.ws * self.ws, 3, self.num_heads, - C // self.num_heads).permute(3, 0, 1, 4, 2, 5) - q, k, v = qkv[0], qkv[1], qkv[2] - attn = (q @ k.transpose(-2, -1)) * self.scale - attn = attn.softmax(dim=-1) - attn = self.attn_drop(attn) - attn = (attn @ v).transpose(2, 3).reshape(B, _h, _w, self.ws, self.ws, C) - x = attn.transpose(2, 3).reshape(B, _h * self.ws, _w * self.ws, C) - if pad_r > 0 or pad_b > 0: - x = x[:, :H, :W, :].contiguous() - x = x.reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - return x - - -class Attention(nn.Module): - def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1): - super().__init__() - assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." - - self.dim = dim - self.num_heads = num_heads - head_dim = dim // num_heads - self.scale = qk_scale or head_dim ** -0.5 - - self.q = nn.Linear(dim, dim, bias=qkv_bias) - self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) - self.attn_drop = nn.Dropout(attn_drop) - self.proj = nn.Linear(dim, dim) - self.proj_drop = nn.Dropout(proj_drop) - - self.sr_ratio = sr_ratio - if sr_ratio > 1: - self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio) - self.norm = nn.LayerNorm(dim) - - @auto_fp16() - def forward(self, x, H, W): - B, N, C = x.shape - q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) - - if self.sr_ratio > 1: - x_ = x.permute(0, 2, 1).reshape(B, C, H, W) - x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1) - x_ = self.norm(x_) - kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) - else: - kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) - k, v = kv[0], kv[1] - - attn = (q @ k.transpose(-2, -1)) * self.scale - attn = attn.softmax(dim=-1) - attn = self.attn_drop(attn) - - x = (attn @ v).transpose(1, 2).reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - - return x - - -class Block(nn.Module): - - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): - super().__init__() - self.norm1 = norm_layer(dim) - self.attn = Attention( - dim, - num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, - attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio) - # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here - self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() - self.norm2 = norm_layer(dim) - mlp_hidden_dim = int(dim * mlp_ratio) - self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) - - def forward(self, x, H, W): - x = x + self.drop_path(self.attn(self.norm1(x), H, W)) - x = x + self.drop_path(self.mlp(self.norm2(x))) - - return x - - -class SBlock(TimmBlock): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): - super(SBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, - drop_path, act_layer, norm_layer) - - def forward(self, x, H, W): - return super(SBlock, self).forward(x) - - -class GroupBlock(TimmBlock): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1, ws=1): - super(GroupBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, - drop_path, act_layer, norm_layer) - del self.attn - if ws == 1: - self.attn = Attention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, sr_ratio) - else: - self.attn = GroupAttention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, ws) - - def forward(self, x, H, W): - x = x + self.drop_path(self.attn(self.norm1(x), H, W)) - x = x + self.drop_path(self.mlp(self.norm2(x))) - return x - - -class PatchEmbed(nn.Module): - """ Image to Patch Embedding - """ - - def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): - super().__init__() - img_size = to_2tuple(img_size) - patch_size = to_2tuple(patch_size) - - self.img_size = img_size - self.patch_size = patch_size - assert img_size[0] % patch_size[0] == 0 and img_size[1] % patch_size[1] == 0, \ - f"img_size {img_size} should be divided by patch_size {patch_size}." - self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1] - self.num_patches = self.H * self.W - self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) - self.norm = nn.LayerNorm(embed_dim) - - def forward(self, x): - B, C, H, W = x.shape - - x = self.proj(x).flatten(2).transpose(1, 2) - x = self.norm(x) - H, W = H // self.patch_size[0], W // self.patch_size[1] - - return x, (H, W) - - -class PyramidVisionTransformer(nn.Module): - def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], - num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): - super().__init__() - self.num_classes = num_classes - self.depths = depths - - # patch_embed - self.patch_embeds = nn.ModuleList() - self.pos_embeds = nn.ParameterList() - self.pos_drops = nn.ModuleList() - self.blocks = nn.ModuleList() - - for i in range(len(depths)): - if i == 0: - self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) - else: - self.patch_embeds.append(PatchEmbed(img_size // patch_size // 2**(i-1), 2, embed_dims[i-1], embed_dims[i])) - patch_num = self.patch_embeds[-1].num_patches + 1 if i == len(embed_dims) -1 else self.patch_embeds[-1].num_patches - self.pos_embeds.append(nn.Parameter(torch.zeros(1, patch_num, embed_dims[i]))) - self.pos_drops.append(nn.Dropout(p=drop_rate)) - - # transformer encoder - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule - cur = 0 - for k in range(len(depths)): - _block = nn.ModuleList([block_cls( - dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, - sr_ratio=sr_ratios[k]) - for i in range(depths[k])]) - self.blocks.append(_block) - cur += depths[k] - - self.norm = norm_layer(embed_dims[-1]) - - # cls_token - self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dims[-1])) - - # classification head - self.head = nn.Linear(embed_dims[-1], num_classes) if num_classes > 0 else nn.Identity() - - # init weights - for pos_emb in self.pos_embeds: - trunc_normal_(pos_emb, std=.02) - self.apply(self._init_weights) - - def reset_drop_path(self, drop_path_rate): - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))] - cur = 0 - for k in range(len(self.depths)): - for i in range(self.depths[k]): - self.blocks[k][i].drop_path.drop_prob = dpr[cur + i] - cur += self.depths[k] - - def _init_weights(self, m): - if isinstance(m, nn.Linear): - trunc_normal_(m.weight, std=.02) - if isinstance(m, nn.Linear) and m.bias is not None: - nn.init.constant_(m.bias, 0) - elif isinstance(m, nn.LayerNorm): - nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0) - - def init_weights(self, pretrained=None): - if isinstance(pretrained, str): - logger = get_root_logger() - load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger) - - @torch.jit.ignore - def no_weight_decay(self): - # return {'pos_embed', 'cls_token'} # has pos_embed may be better - return {'cls_token'} - - def get_classifier(self): - return self.head - - def reset_classifier(self, num_classes, global_pool=''): - self.num_classes = num_classes - self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() - - @auto_fp16() - def forward_features(self, x): - B = x.shape[0] - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - if i == len(self.depths) - 1: - cls_tokens = self.cls_token.expand(B, -1, -1) - x = torch.cat((cls_tokens, x), dim=1) - x = x + self.pos_embeds[i] - x = self.pos_drops[i](x) - for blk in self.blocks[i]: - x = blk(x, H, W) - if i < len(self.depths) - 1: - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - - x = self.norm(x) - - return x[:, 0] - - def forward(self, x): - x = self.forward_features(x) - x = self.head(x) - - return x - - -# PEG from https://arxiv.org/abs/2102.10882 -class PosCNN(nn.Module): - def __init__(self, in_chans, embed_dim=768, s=1): - super(PosCNN, self).__init__() - self.proj = nn.Sequential(nn.Conv2d(in_chans, embed_dim, 3, s, 1, bias=True, groups=embed_dim),) - self.s = s - - @auto_fp16() - def forward(self, x, H, W): - B, N, C = x.shape - feat_token = x - cnn_feat = feat_token.transpose(1, 2).view(B, C, H, W) - if self.s == 1: - x = self.proj(cnn_feat) + cnn_feat - else: - x = self.proj(cnn_feat) - x = x.flatten(2).transpose(1, 2) - return x - - def no_weight_decay(self): - return ['proj.%d.weight' % i for i in range(4)] - - -class CPVTV2(PyramidVisionTransformer): - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], - num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block, F4=False): - super(CPVTV2, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, mlp_ratios, - qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, norm_layer, depths, - sr_ratios, block_cls) - self.F4 = F4 - del self.pos_embeds - del self.cls_token - self.pos_block = nn.ModuleList( - [PosCNN(embed_dim, embed_dim) for embed_dim in embed_dims] - ) - self.apply(self._init_weights) - - def _init_weights(self, m): - import math - if isinstance(m, nn.Linear): - trunc_normal_(m.weight, std=.02) - if isinstance(m, nn.Linear) and m.bias is not None: - nn.init.constant_(m.bias, 0) - elif isinstance(m, nn.LayerNorm): - nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0) - elif isinstance(m, nn.Conv2d): - fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels - fan_out //= m.groups - m.weight.data.normal_(0, math.sqrt(2.0 / fan_out)) - if m.bias is not None: - m.bias.data.zero_() - elif isinstance(m, nn.BatchNorm2d): - m.weight.data.fill_(1.0) - m.bias.data.zero_() - - def no_weight_decay(self): - return set(['cls_token'] + ['pos_block.' + n for n, p in self.pos_block.named_parameters()]) - - @auto_fp16() - def forward_features(self, x): - outputs = list() - - B = x.shape[0] - - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - x = self.pos_drops[i](x) - for j, blk in enumerate(self.blocks[i]): - x = blk(x, H, W) - if j == 0: - x = self.pos_block[i](x, H, W) - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - outputs.append(x) - - return outputs - - def forward(self, x): - x = self.forward_features(x) - - if self.F4: - x = x[3:4] - - return x - - -class PCPVT(CPVTV2): - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], - num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=SBlock, F4=False): - super(PCPVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, - mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, - norm_layer, depths, sr_ratios, block_cls, F4) - - -class ALTGVT(PCPVT): - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], - num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=GroupBlock, wss=[7, 7, 7], - F4=False, extra_norm=False): - super(ALTGVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, - mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, - norm_layer, depths, sr_ratios, block_cls, F4) - del self.blocks - self.wss = wss - self.extra_norm = extra_norm - if self.extra_norm: - self.norm_list = nn.ModuleList() - for dim in embed_dims: - self.norm_list.append(norm_layer(dim)) - # transformer encoder - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule - cur = 0 - self.blocks = nn.ModuleList() - for k in range(len(depths)): - _block = nn.ModuleList([block_cls( - dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, - sr_ratio=sr_ratios[k], ws=1 if i % 2 == 1 else wss[k]) for i in range(depths[k])]) - self.blocks.append(_block) - cur += depths[k] - self.apply(self._init_weights) - - @auto_fp16() - def forward_features(self, x): - outputs = list() - - B = x.shape[0] - - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - x = self.pos_drops[i](x) - for j, blk in enumerate(self.blocks[i]): - x = blk(x, H, W) - if j == 0: - # We use a very simple implementation of PEG (single Sep at each stage). - # In fact, we can insert many PEGs into each block, which - # can improve the performance further. The core idea behind PEG is that even simple depthwise - # convolution provides sufficient positional information if paddings is given. It works quite well - # when global reception field is given. See https://arxiv.org/abs/2102.10882 for more details. - x = self.pos_block[i](x, H, W) - if self.extra_norm: - x = self.norm_list[i](x) - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - outputs.append(x) - - return outputs - - -def _conv_filter(state_dict, patch_size=16): - """ convert patch embedding weight from manual patchify + linear proj to conv""" - out_dict = {} - for k, v in state_dict.items(): - if 'patch_embed.proj.weight' in k: - v = v.reshape((v.shape[0], 3, patch_size, patch_size)) - out_dict[k] = v - - return out_dict - - -@BACKBONES.register_module() -class alt_gvt_small(ALTGVT): - def __init__(self, **kwargs): - super(alt_gvt_small, self).__init__( - patch_size=4, embed_dims=[64, 128, 256, 512], num_heads=[2, 4, 8, 16], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 10, 4], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - extra_norm=True, drop_path_rate=0.2, - ) - - -@BACKBONES.register_module() -class alt_gvt_base(ALTGVT): - def __init__(self, **kwargs): - super(alt_gvt_base, self).__init__( - patch_size=4, embed_dims=[96, 192, 384, 768], num_heads=[3, 6, 12, 24], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - extra_norm=True, drop_path_rate=0.2, - ) - - -@BACKBONES.register_module() -class alt_gvt_large(ALTGVT): - def __init__(self, **kwargs): - super(alt_gvt_large, self).__init__( - patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4], - qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - extra_norm=True, drop_path_rate=0.2, - ) - - -@BACKBONES.register_module() -class pcpvt_small(CPVTV2): - def __init__(self, **kwargs): - super(pcpvt_small, self).__init__( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], - qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], - drop_rate=0.0, drop_path_rate=0.2) - - -@BACKBONES.register_module() -class pcpvt_base(CPVTV2): - def __init__(self, **kwargs): - super(pcpvt_base, self).__init__( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 18, 3], sr_ratios=[8, 4, 2, 1], - drop_rate=0.0, drop_path_rate=0.2) - - -@BACKBONES.register_module() -class pcpvt_large(CPVTV2): - def __init__(self, **kwargs): - super(pcpvt_large, self).__init__( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 8, 27, 3], sr_ratios=[8, 4, 2, 1], - drop_rate=0.0, drop_path_rate=0.2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/test.py b/PyTorch/build-in/Classification/Twins/Twins/detection/test.py deleted file mode 100644 index bb6ca2ad3..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/test.py +++ /dev/null @@ -1,213 +0,0 @@ -import argparse -import os -import warnings - -import mmcv -import torch -from mmcv import Config, DictAction -from mmcv.cnn import fuse_conv_bn -from mmcv.parallel import MMDataParallel, MMDistributedDataParallel -from mmcv.runner import (get_dist_info, init_dist, load_checkpoint, - wrap_fp16_model) - -from mmdet.apis import multi_gpu_test, single_gpu_test -from mmdet.datasets import (build_dataloader, build_dataset, - replace_ImageToTensor) -from mmdet.models import build_detector -import gvt - - -def parse_args(): - parser = argparse.ArgumentParser( - description='MMDet test (and eval) a model') - parser.add_argument('config', help='test config file path') - parser.add_argument('checkpoint', help='checkpoint file') - parser.add_argument('--out', help='output result file in pickle format') - parser.add_argument( - '--fuse-conv-bn', - action='store_true', - help='Whether to fuse conv and bn, this will slightly increase' - 'the inference speed') - parser.add_argument( - '--format-only', - action='store_true', - help='Format the output results without perform evaluation. It is' - 'useful when you want to format the result to a specific format and ' - 'submit it to the test server') - parser.add_argument( - '--eval', - type=str, - nargs='+', - help='evaluation metrics, which depends on the dataset, e.g., "bbox",' - ' "segm", "proposal" for COCO, and "mAP", "recall" for PASCAL VOC') - parser.add_argument('--show', action='store_true', help='show results') - parser.add_argument( - '--show-dir', help='directory where painted images will be saved') - parser.add_argument( - '--show-score-thr', - type=float, - default=0.3, - help='score threshold (default: 0.3)') - parser.add_argument( - '--gpu-collect', - action='store_true', - help='whether to use gpu to collect results.') - parser.add_argument( - '--tmpdir', - help='tmp directory used for collecting results from multiple ' - 'workers, available when gpu-collect is not specified') - parser.add_argument( - '--cfg-options', - nargs='+', - action=DictAction, - help='override some settings in the used config, the key-value pair ' - 'in xxx=yyy format will be merged into config file. If the value to ' - 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' - 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' - 'Note that the quotation marks are necessary and that no white space ' - 'is allowed.') - parser.add_argument( - '--options', - nargs='+', - action=DictAction, - help='custom options for evaluation, the key-value pair in xxx=yyy ' - 'format will be kwargs for dataset.evaluate() function (deprecate), ' - 'change to --eval-options instead.') - parser.add_argument( - '--eval-options', - nargs='+', - action=DictAction, - help='custom options for evaluation, the key-value pair in xxx=yyy ' - 'format will be kwargs for dataset.evaluate() function') - parser.add_argument( - '--launcher', - choices=['none', 'pytorch', 'slurm', 'mpi'], - default='none', - help='job launcher') - parser.add_argument('--local_rank', type=int, default=0) - args = parser.parse_args() - if 'LOCAL_RANK' not in os.environ: - os.environ['LOCAL_RANK'] = str(args.local_rank) - - if args.options and args.eval_options: - raise ValueError( - '--options and --eval-options cannot be both ' - 'specified, --options is deprecated in favor of --eval-options') - if args.options: - warnings.warn('--options is deprecated in favor of --eval-options') - args.eval_options = args.options - return args - - -def main(): - args = parse_args() - - assert args.out or args.eval or args.format_only or args.show \ - or args.show_dir, \ - ('Please specify at least one operation (save/eval/format/show the ' - 'results / save the results) with the argument "--out", "--eval"' - ', "--format-only", "--show" or "--show-dir"') - - if args.eval and args.format_only: - raise ValueError('--eval and --format_only cannot be both specified') - - if args.out is not None and not args.out.endswith(('.pkl', '.pickle')): - raise ValueError('The output file must be a pkl file.') - - cfg = Config.fromfile(args.config) - if args.cfg_options is not None: - cfg.merge_from_dict(args.cfg_options) - # import modules from string list. - if cfg.get('custom_imports', None): - from mmcv.utils import import_modules_from_strings - import_modules_from_strings(**cfg['custom_imports']) - # set cudnn_benchmark - if cfg.get('cudnn_benchmark', False): - torch.backends.cudnn.benchmark = True - cfg.model.pretrained = None - if cfg.model.get('neck'): - if isinstance(cfg.model.neck, list): - for neck_cfg in cfg.model.neck: - if neck_cfg.get('rfp_backbone'): - if neck_cfg.rfp_backbone.get('pretrained'): - neck_cfg.rfp_backbone.pretrained = None - elif cfg.model.neck.get('rfp_backbone'): - if cfg.model.neck.rfp_backbone.get('pretrained'): - cfg.model.neck.rfp_backbone.pretrained = None - - # in case the test dataset is concatenated - if isinstance(cfg.data.test, dict): - cfg.data.test.test_mode = True - elif isinstance(cfg.data.test, list): - for ds_cfg in cfg.data.test: - ds_cfg.test_mode = True - - # init distributed env first, since logger depends on the dist info. - if args.launcher == 'none': - distributed = False - else: - distributed = True - init_dist(args.launcher, **cfg.dist_params) - - # build the dataloader - samples_per_gpu = cfg.data.test.pop('samples_per_gpu', 1) - if samples_per_gpu > 1: - # Replace 'ImageToTensor' to 'DefaultFormatBundle' - cfg.data.test.pipeline = replace_ImageToTensor(cfg.data.test.pipeline) - dataset = build_dataset(cfg.data.test) - data_loader = build_dataloader( - dataset, - samples_per_gpu=samples_per_gpu, - workers_per_gpu=cfg.data.workers_per_gpu, - dist=distributed, - shuffle=False) - - # build the model and load checkpoint - model = build_detector(cfg.model, train_cfg=None, test_cfg=cfg.test_cfg) - fp16_cfg = cfg.get('fp16', None) - if fp16_cfg is not None: - wrap_fp16_model(model) - checkpoint = load_checkpoint(model, args.checkpoint, map_location='cpu') - if args.fuse_conv_bn: - model = fuse_conv_bn(model) - # old versions did not save class info in checkpoints, this walkaround is - # for backward compatibility - if 'CLASSES' in checkpoint['meta']: - model.CLASSES = checkpoint['meta']['CLASSES'] - else: - model.CLASSES = dataset.CLASSES - - if not distributed: - model = MMDataParallel(model, device_ids=[0]) - outputs = single_gpu_test(model, data_loader, args.show, args.show_dir, - args.show_score_thr) - else: - model = MMDistributedDataParallel( - model.cuda(), - device_ids=[torch.cuda.current_device()], - broadcast_buffers=False) - outputs = multi_gpu_test(model, data_loader, args.tmpdir, - args.gpu_collect) - - rank, _ = get_dist_info() - if rank == 0: - if args.out: - print(f'\nwriting results to {args.out}') - mmcv.dump(outputs, args.out) - kwargs = {} if args.eval_options is None else args.eval_options - if args.format_only: - dataset.format_results(outputs, **kwargs) - if args.eval: - eval_kwargs = cfg.get('evaluation', {}).copy() - # hard-code way to remove EvalHook args - for key in [ - 'interval', 'tmpdir', 'start', 'gpu_collect', 'save_best', - 'rule' - ]: - eval_kwargs.pop(key, None) - eval_kwargs.update(dict(metric=args.eval, **kwargs)) - print(dataset.evaluate(outputs, **eval_kwargs)) - - -if __name__ == '__main__': - main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/detection/train.py b/PyTorch/build-in/Classification/Twins/Twins/detection/train.py deleted file mode 100644 index e9a9ca9f7..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/detection/train.py +++ /dev/null @@ -1,187 +0,0 @@ -import argparse -import copy -import os -import os.path as osp -import time -import warnings - - -import mmcv -import torch -from mmcv import Config, DictAction -from mmcv.runner import get_dist_info, init_dist -from mmcv.utils import get_git_hash - -from mmdet import __version__ -from mmdet.apis import set_random_seed, train_detector -from mmdet.datasets import build_dataset -from mmdet.models import build_detector -from mmdet.utils import collect_env, get_root_logger -import gvt - - -def parse_args(): - parser = argparse.ArgumentParser(description='Train a detector') - parser.add_argument('config', help='train config file path') - parser.add_argument('--work-dir', help='the dir to save logs and models') - parser.add_argument( - '--resume-from', help='the checkpoint file to resume from') - parser.add_argument( - '--no-validate', - action='store_true', - help='whether not to evaluate the checkpoint during training') - group_gpus = parser.add_mutually_exclusive_group() - group_gpus.add_argument( - '--gpus', - type=int, - help='number of gpus to use ' - '(only applicable to non-distributed training)') - group_gpus.add_argument( - '--gpu-ids', - type=int, - nargs='+', - help='ids of gpus to use ' - '(only applicable to non-distributed training)') - parser.add_argument('--seed', type=int, default=None, help='random seed') - parser.add_argument( - '--deterministic', - action='store_true', - help='whether to set deterministic options for CUDNN backend.') - parser.add_argument( - '--options', - nargs='+', - action=DictAction, - help='override some settings in the used config, the key-value pair ' - 'in xxx=yyy format will be merged into config file (deprecate), ' - 'change to --cfg-options instead.') - parser.add_argument( - '--cfg-options', - nargs='+', - action=DictAction, - help='override some settings in the used config, the key-value pair ' - 'in xxx=yyy format will be merged into config file. If the value to ' - 'be overwritten is a list, it should be like key="[a,b]" or key=a,b ' - 'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" ' - 'Note that the quotation marks are necessary and that no white space ' - 'is allowed.') - parser.add_argument( - '--launcher', - choices=['none', 'pytorch', 'slurm', 'mpi'], - default='none', - help='job launcher') - parser.add_argument('--local_rank', type=int, default=0) - args = parser.parse_args() - if 'LOCAL_RANK' not in os.environ: - os.environ['LOCAL_RANK'] = str(args.local_rank) - - if args.options and args.cfg_options: - raise ValueError( - '--options and --cfg-options cannot be both ' - 'specified, --options is deprecated in favor of --cfg-options') - if args.options: - warnings.warn('--options is deprecated in favor of --cfg-options') - args.cfg_options = args.options - - return args - - -def main(): - args = parse_args() - - cfg = Config.fromfile(args.config) - if args.cfg_options is not None: - cfg.merge_from_dict(args.cfg_options) - # import modules from string list. - if cfg.get('custom_imports', None): - from mmcv.utils import import_modules_from_strings - import_modules_from_strings(**cfg['custom_imports']) - # set cudnn_benchmark - if cfg.get('cudnn_benchmark', False): - torch.backends.cudnn.benchmark = True - - # work_dir is determined in this priority: CLI > segment in file > filename - if args.work_dir is not None: - # update configs according to CLI args if args.work_dir is not None - cfg.work_dir = args.work_dir - elif cfg.get('work_dir', None) is None: - # use config filename as default work_dir if cfg.work_dir is None - cfg.work_dir = osp.join('./work_dirs', - osp.splitext(osp.basename(args.config))[0]) - if args.resume_from is not None: - cfg.resume_from = args.resume_from - if args.gpu_ids is not None: - cfg.gpu_ids = args.gpu_ids - else: - cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) - - # init distributed env first, since logger depends on the dist info. - if args.launcher == 'none': - distributed = False - else: - distributed = True - init_dist(args.launcher, **cfg.dist_params) - # re-set gpu_ids with distributed training mode - _, world_size = get_dist_info() - cfg.gpu_ids = range(world_size) - - # create work_dir - mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) - # dump config - cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) - # init the logger before other steps - timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) - log_file = osp.join(cfg.work_dir, f'{timestamp}.log') - logger = get_root_logger(log_file=log_file, log_level=cfg.log_level) - - # init the meta dict to record some important information such as - # environment info and seed, which will be logged - meta = dict() - # log env info - env_info_dict = collect_env() - env_info = '\n'.join([(f'{k}: {v}') for k, v in env_info_dict.items()]) - dash_line = '-' * 60 + '\n' - logger.info('Environment info:\n' + dash_line + env_info + '\n' + - dash_line) - meta['env_info'] = env_info - meta['config'] = cfg.pretty_text - # log some basic info - logger.info(f'Distributed training: {distributed}') - logger.info(f'Config:\n{cfg.pretty_text}') - - # set random seeds - if args.seed is not None: - logger.info(f'Set random seed to {args.seed}, ' - f'deterministic: {args.deterministic}') - set_random_seed(args.seed, deterministic=args.deterministic) - cfg.seed = args.seed - meta['seed'] = args.seed - meta['exp_name'] = osp.basename(args.config) - - model = build_detector( - cfg.model, train_cfg=cfg.train_cfg, test_cfg=cfg.test_cfg) - - datasets = [build_dataset(cfg.data.train)] - if len(cfg.workflow) == 2: - val_dataset = copy.deepcopy(cfg.data.val) - val_dataset.pipeline = cfg.data.train.pipeline - datasets.append(build_dataset(val_dataset)) - if cfg.checkpoint_config is not None: - # save mmdet version, config file content and class names in - # checkpoints as meta data - cfg.checkpoint_config.meta = dict( - mmdet_version=__version__ + get_git_hash()[:7], - CLASSES=datasets[0].CLASSES) - # add an attribute for visualization convenience - model.CLASSES = datasets[0].CLASSES - train_detector( - model, - datasets, - cfg, - distributed=distributed, - validate=(not args.no_validate), - timestamp=timestamp, - meta=meta) - - -if __name__ == '__main__': - main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/engine.py b/PyTorch/build-in/Classification/Twins/Twins/engine.py deleted file mode 100644 index 655b805ae..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/engine.py +++ /dev/null @@ -1,96 +0,0 @@ -# Copyright (c) 2015-present, Facebook, Inc. -# All rights reserved. -""" -Train and eval functions used in main.py -""" -import math -import sys -from typing import Iterable, Optional - -import torch - -from timm.data import Mixup -from timm.utils import accuracy, ModelEma - -from losses import DistillationLoss -import utils - - -def train_one_epoch(model: torch.nn.Module, criterion: DistillationLoss, - data_loader: Iterable, optimizer: torch.optim.Optimizer, - device: torch.device, epoch: int, loss_scaler, max_norm: float = 0, - model_ema: Optional[ModelEma] = None, mixup_fn: Optional[Mixup] = None, - set_training_mode=True): - model.train(set_training_mode) - metric_logger = utils.MetricLogger(delimiter=" ") - metric_logger.add_meter('lr', utils.SmoothedValue(window_size=1, fmt='{value:.6f}')) - header = 'Epoch: [{}]'.format(epoch) - print_freq = 10 - - for samples, targets in metric_logger.log_every(data_loader, print_freq, header): - samples = samples.to(device, non_blocking=True) - targets = targets.to(device, non_blocking=True) - - if mixup_fn is not None: - samples, targets = mixup_fn(samples, targets) - - with torch.cuda.amp.autocast(): - outputs = model(samples) - loss = criterion(samples, outputs, targets) - - loss_value = loss.item() - - if not math.isfinite(loss_value): - print("Loss is {}, stopping training".format(loss_value)) - sys.exit(1) - - optimizer.zero_grad() - - # this attribute is added by timm on one optimizer (adahessian) - is_second_order = hasattr(optimizer, 'is_second_order') and optimizer.is_second_order - loss_scaler(loss, optimizer, clip_grad=max_norm, - parameters=model.parameters(), create_graph=is_second_order) - - torch.cuda.synchronize() - if model_ema is not None: - model_ema.update(model) - - metric_logger.update(loss=loss_value) - metric_logger.update(lr=optimizer.param_groups[0]["lr"]) - # gather the stats from all processes - metric_logger.synchronize_between_processes() - print("Averaged stats:", metric_logger) - return {k: meter.global_avg for k, meter in metric_logger.meters.items()} - - -@torch.no_grad() -def evaluate(data_loader, model, device): - criterion = torch.nn.CrossEntropyLoss() - - metric_logger = utils.MetricLogger(delimiter=" ") - header = 'Test:' - - # switch to evaluation mode - model.eval() - - for images, target in metric_logger.log_every(data_loader, 10, header): - images = images.to(device, non_blocking=True) - target = target.to(device, non_blocking=True) - - # compute output - with torch.cuda.amp.autocast(): - output = model(images) - loss = criterion(output, target) - - acc1, acc5 = accuracy(output, target, topk=(1, 5)) - - batch_size = images.shape[0] - metric_logger.update(loss=loss.item()) - metric_logger.meters['acc1'].update(acc1.item(), n=batch_size) - metric_logger.meters['acc5'].update(acc5.item(), n=batch_size) - # gather the stats from all processes - metric_logger.synchronize_between_processes() - print('* Acc@1 {top1.global_avg:.3f} Acc@5 {top5.global_avg:.3f} loss {losses.global_avg:.3f}' - .format(top1=metric_logger.acc1, top5=metric_logger.acc5, losses=metric_logger.loss)) - - return {k: meter.global_avg for k, meter in metric_logger.meters.items()} diff --git a/PyTorch/build-in/Classification/Twins/Twins/gvt.py b/PyTorch/build-in/Classification/Twins/Twins/gvt.py deleted file mode 100644 index ae5c92756..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/gvt.py +++ /dev/null @@ -1,496 +0,0 @@ -import torch -import torch.nn as nn -import torch.nn.functional as F -from functools import partial - -from timm.models.layers import DropPath, to_2tuple, trunc_normal_ -from timm.models.registry import register_model -from timm.models.vision_transformer import _cfg -from timm.models.vision_transformer import Block as TimmBlock -from timm.models.vision_transformer import Attention as TimmAttention - - -class Mlp(nn.Module): - def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): - super().__init__() - out_features = out_features or in_features - hidden_features = hidden_features or in_features - self.fc1 = nn.Linear(in_features, hidden_features) - self.act = act_layer() - self.fc2 = nn.Linear(hidden_features, out_features) - self.drop = nn.Dropout(drop) - - def forward(self, x): - x = self.fc1(x) - x = self.act(x) - x = self.drop(x) - x = self.fc2(x) - x = self.drop(x) - return x - - -class GroupAttention(nn.Module): - """ - LSA: self attention within a group - """ - def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., ws=1): - assert ws != 1 - super(GroupAttention, self).__init__() - assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." - - self.dim = dim - self.num_heads = num_heads - head_dim = dim // num_heads - self.scale = qk_scale or head_dim ** -0.5 - - self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) - self.attn_drop = nn.Dropout(attn_drop) - self.proj = nn.Linear(dim, dim) - self.proj_drop = nn.Dropout(proj_drop) - self.ws = ws - - def forward(self, x, H, W): - B, N, C = x.shape - h_group, w_group = H // self.ws, W // self.ws - - total_groups = h_group * w_group - - x = x.reshape(B, h_group, self.ws, w_group, self.ws, C).transpose(2, 3) - - qkv = self.qkv(x).reshape(B, total_groups, -1, 3, self.num_heads, C // self.num_heads).permute(3, 0, 1, 4, 2, 5) - # B, hw, ws*ws, 3, n_head, head_dim -> 3, B, hw, n_head, ws*ws, head_dim - q, k, v = qkv[0], qkv[1], qkv[2] # B, hw, n_head, ws*ws, head_dim - attn = (q @ k.transpose(-2, -1)) * self.scale # B, hw, n_head, ws*ws, ws*ws - attn = attn.softmax(dim=-1) - attn = self.attn_drop( - attn) # attn @ v-> B, hw, n_head, ws*ws, head_dim -> (t(2,3)) B, hw, ws*ws, n_head, head_dim - attn = (attn @ v).transpose(2, 3).reshape(B, h_group, w_group, self.ws, self.ws, C) - x = attn.transpose(2, 3).reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - return x - - -class Attention(nn.Module): - """ - GSA: using a key to summarize the information for a group to be efficient. - """ - def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1): - super().__init__() - assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." - - self.dim = dim - self.num_heads = num_heads - head_dim = dim // num_heads - self.scale = qk_scale or head_dim ** -0.5 - - self.q = nn.Linear(dim, dim, bias=qkv_bias) - self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) - self.attn_drop = nn.Dropout(attn_drop) - self.proj = nn.Linear(dim, dim) - self.proj_drop = nn.Dropout(proj_drop) - - self.sr_ratio = sr_ratio - if sr_ratio > 1: - self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio) - self.norm = nn.LayerNorm(dim) - - def forward(self, x, H, W): - B, N, C = x.shape - q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) - - if self.sr_ratio > 1: - x_ = x.permute(0, 2, 1).reshape(B, C, H, W) - x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1) - x_ = self.norm(x_) - kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) - else: - kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) - k, v = kv[0], kv[1] - - attn = (q @ k.transpose(-2, -1)) * self.scale - attn = attn.softmax(dim=-1) - attn = self.attn_drop(attn) - - x = (attn @ v).transpose(1, 2).reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - - return x - - -class Block(nn.Module): - - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): - super().__init__() - self.norm1 = norm_layer(dim) - self.attn = Attention( - dim, - num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, - attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio) - self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() - self.norm2 = norm_layer(dim) - mlp_hidden_dim = int(dim * mlp_ratio) - self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) - - def forward(self, x, H, W): - x = x + self.drop_path(self.attn(self.norm1(x), H, W)) - x = x + self.drop_path(self.mlp(self.norm2(x))) - - return x - - -class SBlock(TimmBlock): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): - super(SBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, - drop_path, act_layer, norm_layer) - - def forward(self, x, H, W): - return super(SBlock, self).forward(x) - - -class GroupBlock(TimmBlock): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1, ws=1): - super(GroupBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, - drop_path, act_layer, norm_layer) - del self.attn - if ws == 1: - self.attn = Attention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, sr_ratio) - else: - self.attn = GroupAttention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, ws) - - def forward(self, x, H, W): - x = x + self.drop_path(self.attn(self.norm1(x), H, W)) - x = x + self.drop_path(self.mlp(self.norm2(x))) - return x - - -class PatchEmbed(nn.Module): - """ Image to Patch Embedding - """ - - def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): - super().__init__() - img_size = to_2tuple(img_size) - patch_size = to_2tuple(patch_size) - - self.img_size = img_size - self.patch_size = patch_size - assert img_size[0] % patch_size[0] == 0 and img_size[1] % patch_size[1] == 0, \ - f"img_size {img_size} should be divided by patch_size {patch_size}." - self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1] - self.num_patches = self.H * self.W - self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) - self.norm = nn.LayerNorm(embed_dim) - - def forward(self, x): - B, C, H, W = x.shape - - x = self.proj(x).flatten(2).transpose(1, 2) - x = self.norm(x) - H, W = H // self.patch_size[0], W // self.patch_size[1] - - return x, (H, W) - - -# borrow from PVT https://github.com/whai362/PVT.git -class PyramidVisionTransformer(nn.Module): - def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], - num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): - super().__init__() - self.num_classes = num_classes - self.depths = depths - - # patch_embed - self.patch_embeds = nn.ModuleList() - self.pos_embeds = nn.ParameterList() - self.pos_drops = nn.ModuleList() - self.blocks = nn.ModuleList() - - for i in range(len(depths)): - if i == 0: - self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) - else: - self.patch_embeds.append( - PatchEmbed(img_size // patch_size // 2 ** (i - 1), 2, embed_dims[i - 1], embed_dims[i])) - patch_num = self.patch_embeds[-1].num_patches + 1 if i == len(embed_dims) - 1 else self.patch_embeds[ - -1].num_patches - self.pos_embeds.append(nn.Parameter(torch.zeros(1, patch_num, embed_dims[i]))) - self.pos_drops.append(nn.Dropout(p=drop_rate)) - - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule - cur = 0 - for k in range(len(depths)): - _block = nn.ModuleList([block_cls( - dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, - qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, - sr_ratio=sr_ratios[k]) - for i in range(depths[k])]) - self.blocks.append(_block) - cur += depths[k] - - self.norm = norm_layer(embed_dims[-1]) - - # cls_token - self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dims[-1])) - - # classification head - self.head = nn.Linear(embed_dims[-1], num_classes) if num_classes > 0 else nn.Identity() - - # init weights - for pos_emb in self.pos_embeds: - trunc_normal_(pos_emb, std=.02) - self.apply(self._init_weights) - - def reset_drop_path(self, drop_path_rate): - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))] - cur = 0 - for k in range(len(self.depths)): - for i in range(self.depths[k]): - self.blocks[k][i].drop_path.drop_prob = dpr[cur + i] - cur += self.depths[k] - - def _init_weights(self, m): - if isinstance(m, nn.Linear): - trunc_normal_(m.weight, std=.02) - if isinstance(m, nn.Linear) and m.bias is not None: - nn.init.constant_(m.bias, 0) - elif isinstance(m, nn.LayerNorm): - nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0) - - @torch.jit.ignore - def no_weight_decay(self): - return {'cls_token'} - - def get_classifier(self): - return self.head - - def reset_classifier(self, num_classes, global_pool=''): - self.num_classes = num_classes - self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() - - def forward_features(self, x): - B = x.shape[0] - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - if i == len(self.depths) - 1: - cls_tokens = self.cls_token.expand(B, -1, -1) - x = torch.cat((cls_tokens, x), dim=1) - x = x + self.pos_embeds[i] - x = self.pos_drops[i](x) - for blk in self.blocks[i]: - x = blk(x, H, W) - if i < len(self.depths) - 1: - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - - x = self.norm(x) - - return x[:, 0] - - def forward(self, x): - x = self.forward_features(x) - x = self.head(x) - - return x - - -# PEG from https://arxiv.org/abs/2102.10882 -class PosCNN(nn.Module): - def __init__(self, in_chans, embed_dim=768, s=1): - super(PosCNN, self).__init__() - self.proj = nn.Sequential(nn.Conv2d(in_chans, embed_dim, 3, s, 1, bias=True, groups=embed_dim), ) - self.s = s - - def forward(self, x, H, W): - B, N, C = x.shape - feat_token = x - cnn_feat = feat_token.transpose(1, 2).view(B, C, H, W) - if self.s == 1: - x = self.proj(cnn_feat) + cnn_feat - else: - x = self.proj(cnn_feat) - x = x.flatten(2).transpose(1, 2) - return x - - def no_weight_decay(self): - return ['proj.%d.weight' % i for i in range(4)] - - -class CPVTV2(PyramidVisionTransformer): - """ - Use useful results from CPVT. PEG and GAP. - Therefore, cls token is no longer required. - PEG is used to encode the absolute position on the fly, which greatly affects the performance when input resolution - changes during the training (such as segmentation, detection) - """ - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], - num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): - super(CPVTV2, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, mlp_ratios, - qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, norm_layer, depths, - sr_ratios, block_cls) - del self.pos_embeds - del self.cls_token - self.pos_block = nn.ModuleList( - [PosCNN(embed_dim, embed_dim) for embed_dim in embed_dims] - ) - self.apply(self._init_weights) - - def _init_weights(self, m): - import math - if isinstance(m, nn.Linear): - trunc_normal_(m.weight, std=.02) - if isinstance(m, nn.Linear) and m.bias is not None: - nn.init.constant_(m.bias, 0) - elif isinstance(m, nn.LayerNorm): - nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0) - elif isinstance(m, nn.Conv2d): - fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels - fan_out //= m.groups - m.weight.data.normal_(0, math.sqrt(2.0 / fan_out)) - if m.bias is not None: - m.bias.data.zero_() - elif isinstance(m, nn.BatchNorm2d): - m.weight.data.fill_(1.0) - m.bias.data.zero_() - - def no_weight_decay(self): - return set(['cls_token'] + ['pos_block.' + n for n, p in self.pos_block.named_parameters()]) - - def forward_features(self, x): - B = x.shape[0] - - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - x = self.pos_drops[i](x) - for j, blk in enumerate(self.blocks[i]): - x = blk(x, H, W) - if j == 0: - x = self.pos_block[i](x, H, W) # PEG here - if i < len(self.depths) - 1: - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - - x = self.norm(x) - - return x.mean(dim=1) # GAP here - - -class PCPVT(CPVTV2): - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], - num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=SBlock): - super(PCPVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, - mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, - norm_layer, depths, sr_ratios, block_cls) - - -class ALTGVT(PCPVT): - """ - alias Twins-SVT - """ - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], - num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=GroupBlock, wss=[7, 7, 7]): - super(ALTGVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, - mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, - norm_layer, depths, sr_ratios, block_cls) - del self.blocks - self.wss = wss - # transformer encoder - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule - cur = 0 - self.blocks = nn.ModuleList() - for k in range(len(depths)): - _block = nn.ModuleList([block_cls( - dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, - qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, - sr_ratio=sr_ratios[k], ws=1 if i % 2 == 1 else wss[k]) for i in range(depths[k])]) - self.blocks.append(_block) - cur += depths[k] - self.apply(self._init_weights) - - -def _conv_filter(state_dict, patch_size=16): - """ convert patch embedding weight from manual patchify + linear proj to conv""" - out_dict = {} - for k, v in state_dict.items(): - if 'patch_embed.proj.weight' in k: - v = v.reshape((v.shape[0], 3, patch_size, patch_size)) - out_dict[k] = v - - return out_dict - - -@register_model -def pcpvt_small_v0(pretrained=False, **kwargs): - model = CPVTV2( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], - **kwargs) - model.default_cfg = _cfg() - return model - - -@register_model -def pcpvt_base_v0(pretrained=False, **kwargs): - model = CPVTV2( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 18, 3], sr_ratios=[8, 4, 2, 1], - **kwargs) - model.default_cfg = _cfg() - return model - - -@register_model -def pcpvt_large_v0(pretrained=False, **kwargs): - model = CPVTV2( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 8, 27, 3], sr_ratios=[8, 4, 2, 1], - **kwargs) - model.default_cfg = _cfg() - return model - - -@register_model -def alt_gvt_small(pretrained=False, **kwargs): - model = ALTGVT( - patch_size=4, embed_dims=[64, 128, 256, 512], num_heads=[2, 4, 8, 16], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 10, 4], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - **kwargs) - model.default_cfg = _cfg() - return model - - -@register_model -def alt_gvt_base(pretrained=False, **kwargs): - model = ALTGVT( - patch_size=4, embed_dims=[96, 192, 384, 768], num_heads=[3, 6, 12, 24], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - **kwargs) - - model.default_cfg = _cfg() - return model - - -@register_model -def alt_gvt_large(pretrained=False, **kwargs): - model = ALTGVT( - patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4], - qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - **kwargs) - - model.default_cfg = _cfg() - return model diff --git a/PyTorch/build-in/Classification/Twins/Twins/logger.py b/PyTorch/build-in/Classification/Twins/Twins/logger.py deleted file mode 100644 index 2a303bb0c..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logger.py +++ /dev/null @@ -1,40 +0,0 @@ -# -------------------------------------------------------- -# Borrow from Swin Transformer -# Copyright (c) 2021 Microsoft -# Licensed under The MIT License [see LICENSE for details] -# -------------------------------------------------------- - -import os -import sys -import logging -import functools -from termcolor import colored - - -@functools.lru_cache() -def create_logger(output_dir, dist_rank=0, name=''): - # create logger - logger = logging.getLogger(name) - logger.setLevel(logging.DEBUG) - logger.propagate = False - - # create formatter - fmt = '[%(asctime)s %(name)s] (%(filename)s %(lineno)d): %(levelname)s %(message)s' - color_fmt = colored('[%(asctime)s %(name)s]', 'green') + \ - colored('(%(filename)s %(lineno)d)', 'yellow') + ': %(levelname)s %(message)s' - - # create console handlers for master process - if dist_rank == 0: - console_handler = logging.StreamHandler(sys.stdout) - console_handler.setLevel(logging.DEBUG) - console_handler.setFormatter( - logging.Formatter(fmt=color_fmt, datefmt='%Y-%m-%d %H:%M:%S')) - logger.addHandler(console_handler) - - # create file handlers - file_handler = logging.FileHandler(os.path.join(output_dir, f'log_rank{dist_rank}.txt'), mode='a') - file_handler.setLevel(logging.DEBUG) - file_handler.setFormatter(logging.Formatter(fmt=fmt, datefmt='%Y-%m-%d %H:%M:%S')) - logger.addHandler(file_handler) - - return logger diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt deleted file mode 100644 index 4e5a9f31a..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_b.txt +++ /dev/null @@ -1,300 +0,0 @@ -{"train_lr": 9.999999999999953e-07, "train_loss": 6.910561935935947, "test_loss": 6.858418083552158, "test_acc1": 0.3420000162935257, "test_acc5": 1.3980000579357148, "epoch": 0, "n_parameters": 43828456} -{"train_lr": 9.999999999999953e-07, "train_loss": 6.894171662134328, "test_loss": 6.822545342373125, "test_acc1": 0.4100000189590454, "test_acc5": 1.8840000696372985, "epoch": 1, "n_parameters": 43828456} -{"train_lr": 0.00020080000000000092, "train_loss": 6.655116563649487, "test_loss": 5.70249330997467, "test_acc1": 5.050000167160034, "test_acc5": 15.030000400238038, "epoch": 2, "n_parameters": 43828456} -{"train_lr": 0.000400599999999987, "train_loss": 6.360040353785316, "test_loss": 4.843423107356736, "test_acc1": 12.202000349578858, "test_acc5": 29.66600080947876, "epoch": 3, "n_parameters": 43828456} -{"train_lr": 0.0006003999999999824, "train_loss": 6.095766383299916, "test_loss": 4.128979499592925, "test_acc1": 20.892000570068358, "test_acc5": 43.30600124786377, "epoch": 4, "n_parameters": 43828456} -{"train_lr": 0.0008002000000000078, "train_loss": 5.84668526456034, "test_loss": 3.5845714437239096, "test_acc1": 28.53400078765869, "test_acc5": 53.29200143188476, "epoch": 5, "n_parameters": 43828456} -{"train_lr": 0.0009993216197035084, "train_loss": 5.629380213175651, "test_loss": 3.1399162380081234, "test_acc1": 35.42200099060059, "test_acc5": 61.13800175048828, "epoch": 6, "n_parameters": 43828456} -{"train_lr": 0.000999023230572016, "train_loss": 5.379998026515463, "test_loss": 2.8143042000857266, "test_acc1": 40.81200121383667, "test_acc5": 66.87400194915772, "epoch": 7, "n_parameters": 43828456} -{"train_lr": 0.000998670666226098, "train_loss": 5.200768971257358, "test_loss": 2.5052305690266867, "test_acc1": 46.160001157836916, "test_acc5": 72.14400219116212, "epoch": 8, "n_parameters": 43828456} -{"train_lr": 0.0009982639653285214, "train_loss": 5.053526404140284, "test_loss": 2.321358538486741, "test_acc1": 49.60800133117676, "test_acc5": 74.64600212432862, "epoch": 9, "n_parameters": 43828456} -{"train_lr": 0.0009978031724785232, "train_loss": 4.92420284984876, "test_loss": 2.197260200525775, "test_acc1": 52.49600135009766, "test_acc5": 77.09600264007568, "epoch": 10, "n_parameters": 43828456} -{"train_lr": 0.000997288338207296, "train_loss": 4.805661285238014, "test_loss": 2.0931805128400978, "test_acc1": 54.43200162658692, "test_acc5": 78.92600266235351, "epoch": 11, "n_parameters": 43828456} -{"train_lr": 0.0009967195189721821, "train_loss": 4.725447046885387, "test_loss": 2.000329028476368, "test_acc1": 56.898001637573245, "test_acc5": 80.93200232940674, "epoch": 12, "n_parameters": 43828456} -{"train_lr": 0.0009960967771506664, "train_loss": 4.626506712248952, "test_loss": 1.895578918131915, "test_acc1": 58.010001535339356, "test_acc5": 81.51800245666504, "epoch": 13, "n_parameters": 43828456} -{"train_lr": 0.0009954201810333753, "train_loss": 4.560667088087038, "test_loss": 1.8324678960171612, "test_acc1": 59.72600143798828, "test_acc5": 83.10200249481201, "epoch": 14, "n_parameters": 43828456} -{"train_lr": 0.0009946898048166896, "train_loss": 4.496209529044626, "test_loss": 1.746892140444481, "test_acc1": 61.01600164642334, "test_acc5": 84.2280024407959, "epoch": 15, "n_parameters": 43828456} -{"train_lr": 0.000993905728594591, "train_loss": 4.438996416177871, "test_loss": 1.6766883491566686, "test_acc1": 62.166001834411624, "test_acc5": 84.76600273223877, "epoch": 16, "n_parameters": 43828456} -{"train_lr": 0.0009930680383498827, "train_loss": 4.396434288826302, "test_loss": 1.6695521785454317, "test_acc1": 62.74600191833496, "test_acc5": 85.11600269195557, "epoch": 17, "n_parameters": 43828456} -{"train_lr": 0.0009921768259447902, "train_loss": 4.342843172933272, "test_loss": 1.6335204941305248, "test_acc1": 63.37000181060791, "test_acc5": 85.58400243530274, "epoch": 18, "n_parameters": 43828456} -{"train_lr": 0.0009912321891107068, "train_loss": 4.304196375832379, "test_loss": 1.602156770726045, "test_acc1": 64.10800174560546, "test_acc5": 86.26200245635987, "epoch": 19, "n_parameters": 43828456} -{"train_lr": 0.000990234231437762, "train_loss": 4.25979546605826, "test_loss": 1.5543458558844798, "test_acc1": 64.6820019317627, "test_acc5": 86.7620024130249, "epoch": 20, "n_parameters": 43828456} -{"train_lr": 0.000989183062363242, "train_loss": 4.225975740799229, "test_loss": 1.511519312181256, "test_acc1": 65.80200172454833, "test_acc5": 87.21000248504639, "epoch": 21, "n_parameters": 43828456} -{"train_lr": 0.0009880787971596754, "train_loss": 4.192837777231142, "test_loss": 1.4814623941977818, "test_acc1": 66.31200203399658, "test_acc5": 87.65600240875244, "epoch": 22, "n_parameters": 43828456} -{"train_lr": 0.0009869215569222388, "train_loss": 4.167963731417553, "test_loss": 1.5092798751412015, "test_acc1": 66.54000168884278, "test_acc5": 87.88000249755859, "epoch": 23, "n_parameters": 43828456} -{"train_lr": 0.000985711468555267, "train_loss": 4.14745630861091, "test_loss": 1.4440393061800436, "test_acc1": 67.36400208282471, "test_acc5": 88.44000259552001, "epoch": 24, "n_parameters": 43828456} -{"train_lr": 0.0009844486647586856, "train_loss": 4.119348754461625, "test_loss": 1.4158476037961063, "test_acc1": 67.51400207214355, "test_acc5": 88.36200247039795, "epoch": 25, "n_parameters": 43828456} -{"train_lr": 0.00098313328401311, "train_loss": 4.091813917354428, "test_loss": 1.3875769591241172, "test_acc1": 67.86600193359375, "test_acc5": 88.65800255493164, "epoch": 26, "n_parameters": 43828456} -{"train_lr": 0.0009817654705648337, "train_loss": 4.068736020824034, "test_loss": 1.415415465154431, "test_acc1": 67.83600196166992, "test_acc5": 88.72200247741699, "epoch": 27, "n_parameters": 43828456} -{"train_lr": 0.0009803453744100898, "train_loss": 4.052848719316516, "test_loss": 1.3462144782145817, "test_acc1": 68.67200193237305, "test_acc5": 89.0600025982666, "epoch": 28, "n_parameters": 43828456} -{"train_lr": 0.0009788731512783825, "train_loss": 4.0283337841741, "test_loss": 1.4184718947067405, "test_acc1": 68.51800191558839, "test_acc5": 89.09600269927978, "epoch": 29, "n_parameters": 43828456} -{"train_lr": 0.00097734896261555, "train_loss": 4.005034564091242, "test_loss": 1.3215855335195859, "test_acc1": 69.18200212524414, "test_acc5": 89.51000257781982, "epoch": 30, "n_parameters": 43828456} -{"train_lr": 0.0009757729755660996, "train_loss": 4.0005323862333855, "test_loss": 1.311288129199635, "test_acc1": 69.4080022970581, "test_acc5": 89.64600235443115, "epoch": 31, "n_parameters": 43828456} -{"train_lr": 0.000974145362954742, "train_loss": 3.9808933335623675, "test_loss": 1.2846706315423504, "test_acc1": 70.06600188720704, "test_acc5": 89.97600229736328, "epoch": 32, "n_parameters": 43828456} -{"train_lr": 0.0009724663032675332, "train_loss": 3.9585116152092517, "test_loss": 1.2955292853893656, "test_acc1": 69.95800255950928, "test_acc5": 89.80800244934082, "epoch": 33, "n_parameters": 43828456} -{"train_lr": 0.000970735980632352, "train_loss": 3.9505534363593413, "test_loss": 1.2771688977425748, "test_acc1": 70.00000218475341, "test_acc5": 89.83200211181641, "epoch": 34, "n_parameters": 43828456} -{"train_lr": 0.0009689545847984843, "train_loss": 3.941155596150102, "test_loss": 1.2902914233731502, "test_acc1": 70.22000230529785, "test_acc5": 90.13800234741211, "epoch": 35, "n_parameters": 43828456} -{"train_lr": 0.000967122311116087, "train_loss": 3.9236095420462336, "test_loss": 1.278983217071403, "test_acc1": 70.22000241119385, "test_acc5": 90.19600256958007, "epoch": 36, "n_parameters": 43828456} -{"train_lr": 0.000965239360514694, "train_loss": 3.913978062016215, "test_loss": 1.2586109193437027, "test_acc1": 70.74200217529297, "test_acc5": 90.3940024545288, "epoch": 37, "n_parameters": 43828456} -{"train_lr": 0.0009633059394809262, "train_loss": 3.903719551152558, "test_loss": 1.216495075009086, "test_acc1": 71.21000231658935, "test_acc5": 90.61800234802246, "epoch": 38, "n_parameters": 43828456} -{"train_lr": 0.0009613222600362934, "train_loss": 3.888836922905714, "test_loss": 1.273612302812663, "test_acc1": 71.12000213287354, "test_acc5": 90.63400251373291, "epoch": 39, "n_parameters": 43828456} -{"train_lr": 0.0009592885397135909, "train_loss": 3.8769869219056137, "test_loss": 1.2415264822316892, "test_acc1": 71.04600205413819, "test_acc5": 90.64800264038085, "epoch": 40, "n_parameters": 43828456} -{"train_lr": 0.0009572050015330907, "train_loss": 3.8793138706807992, "test_loss": 1.2454836285023978, "test_acc1": 71.40000231140137, "test_acc5": 90.85600249847413, "epoch": 41, "n_parameters": 43828456} -{"train_lr": 0.0009550718739782929, "train_loss": 3.8531531561240495, "test_loss": 1.2141014529448566, "test_acc1": 71.33600233032226, "test_acc5": 90.86200247009278, "epoch": 42, "n_parameters": 43828456} -{"train_lr": 0.0009528893909706948, "train_loss": 3.8482802212953, "test_loss": 1.3148250433080124, "test_acc1": 71.24000249114991, "test_acc5": 90.90800261138916, "epoch": 43, "n_parameters": 43828456} -{"train_lr": 0.0009506577918441058, "train_loss": 3.8350021900604667, "test_loss": 1.211044227083524, "test_acc1": 71.57200219177246, "test_acc5": 91.10800270568848, "epoch": 44, "n_parameters": 43828456} -{"train_lr": 0.0009483773213185082, "train_loss": 3.829963940891812, "test_loss": 1.2199302338289493, "test_acc1": 71.71200233581543, "test_acc5": 90.91000235198975, "epoch": 45, "n_parameters": 43828456} -{"train_lr": 0.0009460482294732177, "train_loss": 3.8264097694060406, "test_loss": 1.1920845047994093, "test_acc1": 71.84600219848633, "test_acc5": 91.15200252349854, "epoch": 46, "n_parameters": 43828456} -{"train_lr": 0.000943670771719436, "train_loss": 3.816293169530652, "test_loss": 1.2529122797828731, "test_acc1": 71.77000253021241, "test_acc5": 91.07800261077881, "epoch": 47, "n_parameters": 43828456} -{"train_lr": 0.0009412452087721683, "train_loss": 3.8078732523176786, "test_loss": 1.1791143719897126, "test_acc1": 72.14000234436035, "test_acc5": 91.27400272399902, "epoch": 48, "n_parameters": 43828456} -{"train_lr": 0.0009387718066217019, "train_loss": 3.800468099727143, "test_loss": 1.206561882387508, "test_acc1": 71.95400251953124, "test_acc5": 91.23800239227295, "epoch": 49, "n_parameters": 43828456} -{"train_lr": 0.000936250836504503, "train_loss": 3.793626870587766, "test_loss": 1.1641583183046542, "test_acc1": 72.20800236175538, "test_acc5": 91.35200267181396, "epoch": 50, "n_parameters": 43828456} -{"train_lr": 0.0009336825748732897, "train_loss": 3.7756208194245535, "test_loss": 1.180441787974401, "test_acc1": 72.45200235168457, "test_acc5": 91.55800266021728, "epoch": 51, "n_parameters": 43828456} -{"train_lr": 0.0009310673033669664, "train_loss": 3.7682406154039096, "test_loss": 1.1788608434073853, "test_acc1": 72.52400226409912, "test_acc5": 91.21400247558594, "epoch": 52, "n_parameters": 43828456} -{"train_lr": 0.0009284053087794627, "train_loss": 3.75671124501194, "test_loss": 1.1488976087985616, "test_acc1": 72.84200238067626, "test_acc5": 91.78200243560791, "epoch": 53, "n_parameters": 43828456} -{"train_lr": 0.0009256968830284788, "train_loss": 3.762628299369515, "test_loss": 1.1638045236468315, "test_acc1": 72.58400237426758, "test_acc5": 91.65000239959717, "epoch": 54, "n_parameters": 43828456} -{"train_lr": 0.0009229423231234935, "train_loss": 3.7608601194110323, "test_loss": 1.1569434481136727, "test_acc1": 72.69200212554932, "test_acc5": 91.73200245483399, "epoch": 55, "n_parameters": 43828456} -{"train_lr": 0.0009201419311329745, "train_loss": 3.7602542013668425, "test_loss": 1.1289431414369382, "test_acc1": 72.90600260742187, "test_acc5": 91.86400281280518, "epoch": 56, "n_parameters": 43828456} -{"train_lr": 0.0009172960141514878, "train_loss": 3.7312511640915766, "test_loss": 1.1426278305324642, "test_acc1": 73.04000241760254, "test_acc5": 91.83400266113281, "epoch": 57, "n_parameters": 43828456} -{"train_lr": 0.0009144048842658995, "train_loss": 3.740418354503447, "test_loss": 1.157222931132172, "test_acc1": 73.23600232177735, "test_acc5": 91.85000248962402, "epoch": 58, "n_parameters": 43828456} -{"train_lr": 0.0009114688585212051, "train_loss": 3.738585502242775, "test_loss": 1.1633950848922585, "test_acc1": 73.04600245483398, "test_acc5": 91.83400246307373, "epoch": 59, "n_parameters": 43828456} -{"train_lr": 0.0009084882588856559, "train_loss": 3.7220607472123572, "test_loss": 1.1256716725501148, "test_acc1": 73.31400234252929, "test_acc5": 91.90600260162354, "epoch": 60, "n_parameters": 43828456} -{"train_lr": 0.0009054634122156225, "train_loss": 3.7185249235227906, "test_loss": 1.1260906794306003, "test_acc1": 73.2320023083496, "test_acc5": 91.95400271270752, "epoch": 61, "n_parameters": 43828456} -{"train_lr": 0.0009023946502195918, "train_loss": 3.7143836199141425, "test_loss": 1.140568994211428, "test_acc1": 73.28400251831054, "test_acc5": 92.00000259674073, "epoch": 62, "n_parameters": 43828456} -{"train_lr": 0.0008992823094219693, "train_loss": 3.7099215794714997, "test_loss": 1.1329448270526798, "test_acc1": 73.5160024130249, "test_acc5": 92.10000228942872, "epoch": 63, "n_parameters": 43828456} -{"train_lr": 0.0008961267311259657, "train_loss": 3.7045687335810595, "test_loss": 1.1092317510734906, "test_acc1": 73.6920023147583, "test_acc5": 92.23600231079102, "epoch": 64, "n_parameters": 43828456} -{"train_lr": 0.0008929282613763057, "train_loss": 3.702071560086678, "test_loss": 1.1203764114867558, "test_acc1": 73.75600250335694, "test_acc5": 92.09000266693116, "epoch": 65, "n_parameters": 43828456} -{"train_lr": 0.0008896872509212006, "train_loss": 3.6962908043278206, "test_loss": 1.130358145092473, "test_acc1": 73.72200247650146, "test_acc5": 92.17400253479003, "epoch": 66, "n_parameters": 43828456} -{"train_lr": 0.0008864040551740224, "train_loss": 3.6934665279756254, "test_loss": 1.1054135749511647, "test_acc1": 73.59200230804443, "test_acc5": 92.30600265289307, "epoch": 67, "n_parameters": 43828456} -{"train_lr": 0.0008830790341741554, "train_loss": 3.6850948004509143, "test_loss": 1.1102937112251918, "test_acc1": 73.82000262420654, "test_acc5": 92.27400260498047, "epoch": 68, "n_parameters": 43828456} -{"train_lr": 0.000879712552547612, "train_loss": 3.6901048636979623, "test_loss": 1.1122257935278343, "test_acc1": 73.67800260345459, "test_acc5": 92.1660024432373, "epoch": 69, "n_parameters": 43828456} -{"train_lr": 0.0008763049794670927, "train_loss": 3.6752337913194912, "test_loss": 1.0836513547057456, "test_acc1": 74.0080024118042, "test_acc5": 92.25600233398437, "epoch": 70, "n_parameters": 43828456} -{"train_lr": 0.0008728566886112912, "train_loss": 3.6677338799222006, "test_loss": 1.1247726599826957, "test_acc1": 73.63200235046386, "test_acc5": 92.28800252044678, "epoch": 71, "n_parameters": 43828456} -{"train_lr": 0.000869368058124286, "train_loss": 3.6679705167226464, "test_loss": 1.1398829571676976, "test_acc1": 73.91000241912842, "test_acc5": 92.30800233093262, "epoch": 72, "n_parameters": 43828456} -{"train_lr": 0.0008658394705736102, "train_loss": 3.653359052160089, "test_loss": 1.1192384107094822, "test_acc1": 73.9560022845459, "test_acc5": 92.25000265502929, "epoch": 73, "n_parameters": 43828456} -{"train_lr": 0.0008622713129087039, "train_loss": 3.6516977435679174, "test_loss": 1.1081715547903017, "test_acc1": 74.05600253723145, "test_acc5": 92.45200243927002, "epoch": 74, "n_parameters": 43828456} -{"train_lr": 0.0008586639764182332, "train_loss": 3.651262254928418, "test_loss": 1.093343184414235, "test_acc1": 74.10800249633789, "test_acc5": 92.4180025906372, "epoch": 75, "n_parameters": 43828456} -{"train_lr": 0.0008550178566873157, "train_loss": 3.640647269291081, "test_loss": 1.0957882079211148, "test_acc1": 74.20600268493652, "test_acc5": 92.44400237487793, "epoch": 76, "n_parameters": 43828456} -{"train_lr": 0.0008513333535541272, "train_loss": 3.647766716927171, "test_loss": 1.1016571320819133, "test_acc1": 74.03800253112793, "test_acc5": 92.57800252227783, "epoch": 77, "n_parameters": 43828456} -{"train_lr": 0.0008476108710658582, "train_loss": 3.630557488027713, "test_loss": 1.0754908287163936, "test_acc1": 74.57400250152588, "test_acc5": 92.7140025177002, "epoch": 78, "n_parameters": 43828456} -{"train_lr": 0.00084385081743468, "train_loss": 3.6331341389438614, "test_loss": 1.0902109091932124, "test_acc1": 74.4500024520874, "test_acc5": 92.58800249847413, "epoch": 79, "n_parameters": 43828456} -{"train_lr": 0.0008400536049929256, "train_loss": 3.61881555577548, "test_loss": 1.0745737317836646, "test_acc1": 74.55400242004394, "test_acc5": 92.52800276000977, "epoch": 80, "n_parameters": 43828456} -{"train_lr": 0.0008362196501476587, "train_loss": 3.614267086120342, "test_loss": 1.070550768099951, "test_acc1": 74.70000254821777, "test_acc5": 92.69200236846923, "epoch": 81, "n_parameters": 43828456} -{"train_lr": 0.0008323493733352106, "train_loss": 3.619807116562228, "test_loss": 1.0902335555715994, "test_acc1": 74.66800223083496, "test_acc5": 92.75600254272462, "epoch": 82, "n_parameters": 43828456} -{"train_lr": 0.0008284431989751196, "train_loss": 3.6110829580411448, "test_loss": 1.0834870029127959, "test_acc1": 74.57800240539551, "test_acc5": 92.60400263488769, "epoch": 83, "n_parameters": 43828456} -{"train_lr": 0.0008245015554233518, "train_loss": 3.609576810082848, "test_loss": 1.0904051465066997, "test_acc1": 74.64800252868652, "test_acc5": 92.78400242980958, "epoch": 84, "n_parameters": 43828456} -{"train_lr": 0.0008205248749255873, "train_loss": 3.601583828504899, "test_loss": 1.0653487709209775, "test_acc1": 74.84200227386475, "test_acc5": 92.74200256225586, "epoch": 85, "n_parameters": 43828456} -{"train_lr": 0.0008165135935696841, "train_loss": 3.596034297911669, "test_loss": 1.0526668526458018, "test_acc1": 74.8940022265625, "test_acc5": 92.95200247314453, "epoch": 86, "n_parameters": 43828456} -{"train_lr": 0.0008124681512377846, "train_loss": 3.591640191827175, "test_loss": 1.0526833562462619, "test_acc1": 74.71000245544434, "test_acc5": 92.89600245758056, "epoch": 87, "n_parameters": 43828456} -{"train_lr": 0.0008083889915582182, "train_loss": 3.592439017445445, "test_loss": 1.0565430770317714, "test_acc1": 74.95400243988037, "test_acc5": 92.82600236328125, "epoch": 88, "n_parameters": 43828456} -{"train_lr": 0.0008042765618568846, "train_loss": 3.5848700264327342, "test_loss": 1.09751495064208, "test_acc1": 74.72000238677978, "test_acc5": 92.81800253631592, "epoch": 89, "n_parameters": 43828456} -{"train_lr": 0.0008001313131079711, "train_loss": 3.5899072911956615, "test_loss": 1.0244622205694516, "test_acc1": 75.20200245880127, "test_acc5": 92.93000257904053, "epoch": 90, "n_parameters": 43828456} -{"train_lr": 0.0007959536998847494, "train_loss": 3.5907157279318755, "test_loss": 1.0895846500767, "test_acc1": 75.05200255950928, "test_acc5": 92.810002578125, "epoch": 91, "n_parameters": 43828456} -{"train_lr": 0.0007917441803096098, "train_loss": 3.5759952967282205, "test_loss": 1.0281133079393343, "test_acc1": 75.24600254943847, "test_acc5": 92.99600271972656, "epoch": 92, "n_parameters": 43828456} -{"train_lr": 0.0007875032160038205, "train_loss": 3.5761649074266666, "test_loss": 1.028428688080925, "test_acc1": 75.0660025415039, "test_acc5": 92.90400266967774, "epoch": 93, "n_parameters": 43828456} -{"train_lr": 0.0007832312720368117, "train_loss": 3.560845647165053, "test_loss": 1.0321017130080499, "test_acc1": 75.31200275238037, "test_acc5": 93.14400247955322, "epoch": 94, "n_parameters": 43828456} -{"train_lr": 0.0007789288168754665, "train_loss": 3.5666438399744833, "test_loss": 1.0178439890344937, "test_acc1": 75.2360022567749, "test_acc5": 93.08200265563964, "epoch": 95, "n_parameters": 43828456} -{"train_lr": 0.0007745963223324492, "train_loss": 3.5622759816600835, "test_loss": 1.053838136747028, "test_acc1": 75.25400249420166, "test_acc5": 93.05000232971192, "epoch": 96, "n_parameters": 43828456} -{"train_lr": 0.0007702342635146132, "train_loss": 3.5543794097612613, "test_loss": 1.0259826068173756, "test_acc1": 75.34000255249023, "test_acc5": 93.10800265533447, "epoch": 97, "n_parameters": 43828456} -{"train_lr": 0.0007658431187708385, "train_loss": 3.547227956181903, "test_loss": 1.0230888717553832, "test_acc1": 75.37000255950927, "test_acc5": 93.14600248199463, "epoch": 98, "n_parameters": 43828456} -{"train_lr": 0.0007614233696396923, "train_loss": 3.554096041775817, "test_loss": 1.0392477677175493, "test_acc1": 75.68800248687744, "test_acc5": 93.11400267669677, "epoch": 99, "n_parameters": 43828456} -{"train_lr": 0.0007569755007964469, "train_loss": 3.547273649848241, "test_loss": 1.061363585293293, "test_acc1": 75.19400230712891, "test_acc5": 92.99800253051758, "epoch": 100, "n_parameters": 43828456} -{"train_lr": 0.0007525000000000169, "train_loss": 3.5409508189089673, "test_loss": 1.0137135731902989, "test_acc1": 75.56000239501954, "test_acc5": 93.33400265472412, "epoch": 101, "n_parameters": 43828456} -{"train_lr": 0.0007479973580395145, "train_loss": 3.532171768964909, "test_loss": 1.0228483843984026, "test_acc1": 75.74000265930175, "test_acc5": 93.22600239898682, "epoch": 102, "n_parameters": 43828456} -{"train_lr": 0.0007434680686803327, "train_loss": 3.5398908950727908, "test_loss": 1.0331012540017113, "test_acc1": 75.4960024887085, "test_acc5": 93.17800259613037, "epoch": 103, "n_parameters": 43828456} -{"train_lr": 0.0007389126286101685, "train_loss": 3.5340503699344983, "test_loss": 1.043594617396593, "test_acc1": 75.66400243377686, "test_acc5": 93.27800273345947, "epoch": 104, "n_parameters": 43828456} -{"train_lr": 0.0007343315373843357, "train_loss": 3.526738891474825, "test_loss": 1.031643674680681, "test_acc1": 75.90800244812011, "test_acc5": 93.21200274658203, "epoch": 105, "n_parameters": 43828456} -{"train_lr": 0.0007297252973710595, "train_loss": 3.5364969056382547, "test_loss": 1.0125780835973495, "test_acc1": 75.87600229064941, "test_acc5": 93.26600262268066, "epoch": 106, "n_parameters": 43828456} -{"train_lr": 0.0007250944136965275, "train_loss": 3.5229194644067308, "test_loss": 1.005988667747288, "test_acc1": 75.77600264007569, "test_acc5": 93.22400268768311, "epoch": 107, "n_parameters": 43828456} -{"train_lr": 0.0007204393941893078, "train_loss": 3.5156837821268825, "test_loss": 1.0164078148928555, "test_acc1": 75.94600263427735, "test_acc5": 93.43600249298096, "epoch": 108, "n_parameters": 43828456} -{"train_lr": 0.0007157607493246968, "train_loss": 3.5146296736505107, "test_loss": 0.9806528120781436, "test_acc1": 76.14200255645751, "test_acc5": 93.5640025970459, "epoch": 109, "n_parameters": 43828456} -{"train_lr": 0.0007110589921689151, "train_loss": 3.508026317202692, "test_loss": 1.0267890364383205, "test_acc1": 75.98200252838134, "test_acc5": 93.36000250274658, "epoch": 110, "n_parameters": 43828456} -{"train_lr": 0.0007063346383225066, "train_loss": 3.503242582225685, "test_loss": 1.0043513841475502, "test_acc1": 75.81400269165039, "test_acc5": 93.35600247528076, "epoch": 111, "n_parameters": 43828456} -{"train_lr": 0.0007015882058641976, "train_loss": 3.507287185993507, "test_loss": 0.989601756022735, "test_acc1": 75.95400260009765, "test_acc5": 93.48000253814698, "epoch": 112, "n_parameters": 43828456} -{"train_lr": 0.0006968202152938009, "train_loss": 3.4995284996134677, "test_loss": 1.0055657044956179, "test_acc1": 76.1060025076294, "test_acc5": 93.56000241851807, "epoch": 113, "n_parameters": 43828456} -{"train_lr": 0.0006920311894751397, "train_loss": 3.495591872720886, "test_loss": 1.024140926585956, "test_acc1": 75.89000252197266, "test_acc5": 93.42000241394042, "epoch": 114, "n_parameters": 43828456} -{"train_lr": 0.0006872216535789267, "train_loss": 3.487952898613078, "test_loss": 0.9920842961379976, "test_acc1": 76.20000255371093, "test_acc5": 93.58200259979247, "epoch": 115, "n_parameters": 43828456} -{"train_lr": 0.0006823921350249367, "train_loss": 3.4874183345827268, "test_loss": 1.0080981690323714, "test_acc1": 76.22600239746093, "test_acc5": 93.56000239349365, "epoch": 116, "n_parameters": 43828456} -{"train_lr": 0.0006775431634242846, "train_loss": 3.4856355730816424, "test_loss": 0.9978456794086731, "test_acc1": 76.3100024255371, "test_acc5": 93.530002651062, "epoch": 117, "n_parameters": 43828456} -{"train_lr": 0.0006726752705214028, "train_loss": 3.4806072682642535, "test_loss": 1.002634071039431, "test_acc1": 76.10800236145019, "test_acc5": 93.61400241577148, "epoch": 118, "n_parameters": 43828456} -{"train_lr": 0.0006677889901356115, "train_loss": 3.482238732057986, "test_loss": 1.0032375847751445, "test_acc1": 76.24200245361328, "test_acc5": 93.62800258880615, "epoch": 119, "n_parameters": 43828456} -{"train_lr": 0.0006628848581025351, "train_loss": 3.4653884138134745, "test_loss": 0.998026564943068, "test_acc1": 76.21200257232665, "test_acc5": 93.69800255493163, "epoch": 120, "n_parameters": 43828456} -{"train_lr": 0.0006579634122155856, "train_loss": 3.4677248352484926, "test_loss": 0.995446515692906, "test_acc1": 76.26000242340088, "test_acc5": 93.65400250213624, "epoch": 121, "n_parameters": 43828456} -{"train_lr": 0.0006530251921667783, "train_loss": 3.4656117138245124, "test_loss": 0.9973187256943096, "test_acc1": 76.4520023348999, "test_acc5": 93.7200025088501, "epoch": 122, "n_parameters": 43828456} -{"train_lr": 0.0006480707394875038, "train_loss": 3.4686477139985246, "test_loss": 0.9737501562093244, "test_acc1": 76.59800273468018, "test_acc5": 93.80600262176513, "epoch": 123, "n_parameters": 43828456} -{"train_lr": 0.0006431005974894059, "train_loss": 3.458229513882066, "test_loss": 0.9800567580669215, "test_acc1": 76.58800250732422, "test_acc5": 93.75000251586914, "epoch": 124, "n_parameters": 43828456} -{"train_lr": 0.000638115311204536, "train_loss": 3.4512551568752285, "test_loss": 0.970006210673036, "test_acc1": 76.62200230316162, "test_acc5": 93.72800243988037, "epoch": 125, "n_parameters": 43828456} -{"train_lr": 0.0006331154273257683, "train_loss": 3.4504187063014, "test_loss": 0.9799829438102968, "test_acc1": 76.89800241790772, "test_acc5": 93.90800264282227, "epoch": 126, "n_parameters": 43828456} -{"train_lr": 0.0006281014941466044, "train_loss": 3.44108488837735, "test_loss": 1.0002154619856314, "test_acc1": 76.48800265197754, "test_acc5": 93.82000255249024, "epoch": 127, "n_parameters": 43828456} -{"train_lr": 0.000623074061501409, "train_loss": 3.4472070023072043, "test_loss": 0.9827754204020356, "test_acc1": 76.6160025491333, "test_acc5": 93.72600271697998, "epoch": 128, "n_parameters": 43828456} -{"train_lr": 0.0006180336807047859, "train_loss": 3.4412623481641855, "test_loss": 1.0009307513634365, "test_acc1": 76.77200258728027, "test_acc5": 93.73400249877929, "epoch": 129, "n_parameters": 43828456} -{"train_lr": 0.0006129809044912789, "train_loss": 3.4427975474787558, "test_loss": 0.9879039297952796, "test_acc1": 76.69200235687256, "test_acc5": 93.85200254638671, "epoch": 130, "n_parameters": 43828456} -{"train_lr": 0.0006079162869547817, "train_loss": 3.427193152699634, "test_loss": 0.9721809719322305, "test_acc1": 76.72400244049072, "test_acc5": 94.01800251953125, "epoch": 131, "n_parameters": 43828456} -{"train_lr": 0.0006028403834876773, "train_loss": 3.4305542767357577, "test_loss": 0.9943249839724917, "test_acc1": 76.89400252258301, "test_acc5": 93.9260024835205, "epoch": 132, "n_parameters": 43828456} -{"train_lr": 0.0005977537507199184, "train_loss": 3.4248334394870614, "test_loss": 0.9434187115367615, "test_acc1": 76.99600243682862, "test_acc5": 94.09800259094239, "epoch": 133, "n_parameters": 43828456} -{"train_lr": 0.0005926569464581887, "train_loss": 3.422555887739626, "test_loss": 0.9644759520888329, "test_acc1": 77.05000247985839, "test_acc5": 94.02000256958007, "epoch": 134, "n_parameters": 43828456} -{"train_lr": 0.0005875505296244566, "train_loss": 3.418253530689376, "test_loss": 0.9636414257640188, "test_acc1": 77.0560023828125, "test_acc5": 94.01200237609864, "epoch": 135, "n_parameters": 43828456} -{"train_lr": 0.0005824350601949218, "train_loss": 3.4142320066881027, "test_loss": 0.9743218160036838, "test_acc1": 76.83600249053956, "test_acc5": 93.91400254211426, "epoch": 136, "n_parameters": 43828456} -{"train_lr": 0.0005773110991383895, "train_loss": 3.4174570626110956, "test_loss": 0.9760739609147563, "test_acc1": 77.02600262786865, "test_acc5": 93.9240024230957, "epoch": 137, "n_parameters": 43828456} -{"train_lr": 0.0005721792083549796, "train_loss": 3.4078772232401, "test_loss": 0.9465661874097405, "test_acc1": 77.20800230560303, "test_acc5": 94.06000266296387, "epoch": 138, "n_parameters": 43828456} -{"train_lr": 0.0005670399506143469, "train_loss": 3.3990436339383123, "test_loss": 0.9246996177191084, "test_acc1": 77.12000250488282, "test_acc5": 94.01800256896972, "epoch": 139, "n_parameters": 43828456} -{"train_lr": 0.0005618938894939768, "train_loss": 3.4002943443094225, "test_loss": 0.9580870151068225, "test_acc1": 77.14600244262695, "test_acc5": 94.02800248413087, "epoch": 140, "n_parameters": 43828456} -{"train_lr": 0.0005567415893175016, "train_loss": 3.401673523665999, "test_loss": 0.9505660361187025, "test_acc1": 77.3180023071289, "test_acc5": 94.11400271240234, "epoch": 141, "n_parameters": 43828456} -{"train_lr": 0.0005515836150926655, "train_loss": 3.396399166086595, "test_loss": 0.9599978946375124, "test_acc1": 77.33800239898682, "test_acc5": 94.1000025579834, "epoch": 142, "n_parameters": 43828456} -{"train_lr": 0.0005464205324494959, "train_loss": 3.3879302473162576, "test_loss": 0.9340598983972361, "test_acc1": 77.51600250793457, "test_acc5": 94.34200265197754, "epoch": 143, "n_parameters": 43828456} -{"train_lr": 0.0005412529075781865, "train_loss": 3.3735298319972102, "test_loss": 0.9627012959258123, "test_acc1": 77.29400255767823, "test_acc5": 94.10200235290527, "epoch": 144, "n_parameters": 43828456} -{"train_lr": 0.0005360813071670112, "train_loss": 3.3730815412591304, "test_loss": 0.9321919219060377, "test_acc1": 77.55200253570557, "test_acc5": 94.16200258209228, "epoch": 145, "n_parameters": 43828456} -{"train_lr": 0.0005309062983402611, "train_loss": 3.37657198357544, "test_loss": 0.9462394671458186, "test_acc1": 77.53400263854981, "test_acc5": 94.21400251708984, "epoch": 146, "n_parameters": 43828456} -{"train_lr": 0.0005257284485959572, "train_loss": 3.3732540743361463, "test_loss": 0.9490844325134249, "test_acc1": 77.39200262451172, "test_acc5": 94.19200238922119, "epoch": 147, "n_parameters": 43828456} -{"train_lr": 0.0005205483257436661, "train_loss": 3.375569152889206, "test_loss": 0.9486469725767771, "test_acc1": 77.61600263000489, "test_acc5": 94.19400249511719, "epoch": 148, "n_parameters": 43828456} -{"train_lr": 0.0005153664978422618, "train_loss": 3.3632407990648305, "test_loss": 0.9136840073448239, "test_acc1": 77.59200269470215, "test_acc5": 94.28400259094238, "epoch": 149, "n_parameters": 43828456} -{"train_lr": 0.0005101835331375457, "train_loss": 3.3633723387853514, "test_loss": 0.9164735525846481, "test_acc1": 77.7560024255371, "test_acc5": 94.42800267181397, "epoch": 150, "n_parameters": 43828456} -{"train_lr": 0.0005049999999999881, "train_loss": 3.3629541756819004, "test_loss": 0.9415579051005117, "test_acc1": 77.59800251068116, "test_acc5": 94.28000258636474, "epoch": 151, "n_parameters": 43828456} -{"train_lr": 0.0004998164668624689, "train_loss": 3.35460351144286, "test_loss": 0.9306120568829955, "test_acc1": 77.66000252105712, "test_acc5": 94.22400264343261, "epoch": 152, "n_parameters": 43828456} -{"train_lr": 0.0004946335021577291, "train_loss": 3.343298661611158, "test_loss": 0.92108660823468, "test_acc1": 77.68600233276368, "test_acc5": 94.23800246734619, "epoch": 153, "n_parameters": 43828456} -{"train_lr": 0.0004894516742563275, "train_loss": 3.3435933676054725, "test_loss": 0.954010147601366, "test_acc1": 77.54800233551025, "test_acc5": 94.28600252593994, "epoch": 154, "n_parameters": 43828456} -{"train_lr": 0.0004842715514040588, "train_loss": 3.3348226409188086, "test_loss": 0.9516026496209882, "test_acc1": 77.89800256439209, "test_acc5": 94.26400254577636, "epoch": 155, "n_parameters": 43828456} -{"train_lr": 0.00047909370165973703, "train_loss": 3.3408578028210063, "test_loss": 0.9110609110106122, "test_acc1": 77.99400273162841, "test_acc5": 94.47600248779297, "epoch": 156, "n_parameters": 43828456} -{"train_lr": 0.00047391869283298395, "train_loss": 3.3256244765911744, "test_loss": 0.9288593846740145, "test_acc1": 77.77000256195069, "test_acc5": 94.35000246582031, "epoch": 157, "n_parameters": 43828456} -{"train_lr": 0.0004687470924218306, "train_loss": 3.330846069420842, "test_loss": 0.9185091377885053, "test_acc1": 78.20600257171631, "test_acc5": 94.50800257751465, "epoch": 158, "n_parameters": 43828456} -{"train_lr": 0.0004635794675504931, "train_loss": 3.3241827873398457, "test_loss": 0.9001190307917017, "test_acc1": 78.3400025378418, "test_acc5": 94.55800242584229, "epoch": 159, "n_parameters": 43828456} -{"train_lr": 0.0004584163849073357, "train_loss": 3.3205887532467657, "test_loss": 0.9346032161830049, "test_acc1": 77.91600286224366, "test_acc5": 94.45200241607667, "epoch": 160, "n_parameters": 43828456} -{"train_lr": 0.0004532584106825094, "train_loss": 3.3167293313310013, "test_loss": 0.8974082152726073, "test_acc1": 78.37200259277344, "test_acc5": 94.54600266723632, "epoch": 161, "n_parameters": 43828456} -{"train_lr": 0.0004481061105060409, "train_loss": 3.299044067113043, "test_loss": 0.9303848467993013, "test_acc1": 78.37400243255615, "test_acc5": 94.49800252960205, "epoch": 162, "n_parameters": 43828456} -{"train_lr": 0.00044296004938566933, "train_loss": 3.3074429644335757, "test_loss": 0.896495423195037, "test_acc1": 78.47800247955323, "test_acc5": 94.5900026928711, "epoch": 163, "n_parameters": 43828456} -{"train_lr": 0.0004378207916450146, "train_loss": 3.310089571775197, "test_loss": 0.8921863926631032, "test_acc1": 78.36200253112793, "test_acc5": 94.58400254058837, "epoch": 164, "n_parameters": 43828456} -{"train_lr": 0.00043268890086160794, "train_loss": 3.30161196823648, "test_loss": 0.9164146695173148, "test_acc1": 78.38200258331298, "test_acc5": 94.56000238006592, "epoch": 165, "n_parameters": 43828456} -{"train_lr": 0.00042756493980507503, "train_loss": 3.3045586801642517, "test_loss": 0.8872262255260439, "test_acc1": 78.36800248535157, "test_acc5": 94.54800241638183, "epoch": 166, "n_parameters": 43828456} -{"train_lr": 0.0004224494703755201, "train_loss": 3.29059275950221, "test_loss": 0.9021174930261843, "test_acc1": 78.51800254241944, "test_acc5": 94.65600245056153, "epoch": 167, "n_parameters": 43828456} -{"train_lr": 0.00041734305354179923, "train_loss": 3.2827852184561896, "test_loss": 0.8976536243025101, "test_acc1": 78.55400259490966, "test_acc5": 94.66400258728028, "epoch": 168, "n_parameters": 43828456} -{"train_lr": 0.0004122462492800569, "train_loss": 3.2843481558832903, "test_loss": 0.899882247389266, "test_acc1": 78.40200238128662, "test_acc5": 94.7160025100708, "epoch": 169, "n_parameters": 43828456} -{"train_lr": 0.0004071596165123325, "train_loss": 3.279701977670431, "test_loss": 0.8990059329027479, "test_acc1": 78.82400235992432, "test_acc5": 94.71600220916748, "epoch": 170, "n_parameters": 43828456} -{"train_lr": 0.0004020837130452182, "train_loss": 3.2829832161168495, "test_loss": 0.8845067823475058, "test_acc1": 78.77800259002686, "test_acc5": 94.72200240814209, "epoch": 171, "n_parameters": 43828456} -{"train_lr": 0.00039701909550871056, "train_loss": 3.2659702186437722, "test_loss": 0.8845801966434176, "test_acc1": 78.55200264587403, "test_acc5": 94.70600268768311, "epoch": 172, "n_parameters": 43828456} -{"train_lr": 0.0003919663192952229, "train_loss": 3.2728428824556817, "test_loss": 0.894022795174158, "test_acc1": 78.8780026171875, "test_acc5": 94.76800236083984, "epoch": 173, "n_parameters": 43828456} -{"train_lr": 0.00038692593849859734, "train_loss": 3.257396948756836, "test_loss": 0.8837026148808725, "test_acc1": 78.59600274963378, "test_acc5": 94.76000258758545, "epoch": 174, "n_parameters": 43828456} -{"train_lr": 0.0003818985058534034, "train_loss": 3.2592653593213723, "test_loss": 0.8934039984914389, "test_acc1": 78.82600247283935, "test_acc5": 94.7840025704956, "epoch": 175, "n_parameters": 43828456} -{"train_lr": 0.0003768845726742596, "train_loss": 3.257832811855012, "test_loss": 0.8913430897801211, "test_acc1": 78.80400250457764, "test_acc5": 94.77400229522705, "epoch": 176, "n_parameters": 43828456} -{"train_lr": 0.0003718846887954506, "train_loss": 3.2498200758755638, "test_loss": 0.8885143809020519, "test_acc1": 78.60000230133056, "test_acc5": 94.76800283081054, "epoch": 177, "n_parameters": 43828456} -{"train_lr": 0.00036689940251057154, "train_loss": 3.2470016027454562, "test_loss": 0.9067335646938194, "test_acc1": 78.81200261169434, "test_acc5": 94.87000225708007, "epoch": 178, "n_parameters": 43828456} -{"train_lr": 0.0003619292605124837, "train_loss": 3.2401593819343977, "test_loss": 0.8910752252647371, "test_acc1": 78.82200256469727, "test_acc5": 94.95400254394531, "epoch": 179, "n_parameters": 43828456} -{"train_lr": 0.0003569748078332423, "train_loss": 3.235254437815276, "test_loss": 0.8760642763791662, "test_acc1": 79.02800241943359, "test_acc5": 94.87600240386963, "epoch": 180, "n_parameters": 43828456} -{"train_lr": 0.00035203658778439235, "train_loss": 3.2366264933685986, "test_loss": 0.8597533561740861, "test_acc1": 79.20800243530273, "test_acc5": 95.02200256072999, "epoch": 181, "n_parameters": 43828456} -{"train_lr": 0.0003471151418974503, "train_loss": 3.2304498217612814, "test_loss": 0.8859152090594624, "test_acc1": 79.0980024975586, "test_acc5": 94.95200273803711, "epoch": 182, "n_parameters": 43828456} -{"train_lr": 0.0003422110098644085, "train_loss": 3.222515353553301, "test_loss": 0.874570747103655, "test_acc1": 79.30200259033204, "test_acc5": 95.0180024533081, "epoch": 183, "n_parameters": 43828456} -{"train_lr": 0.0003373247294785742, "train_loss": 3.219474500067514, "test_loss": 0.8814413612990668, "test_acc1": 79.08800245574952, "test_acc5": 95.02600237426758, "epoch": 184, "n_parameters": 43828456} -{"train_lr": 0.0003324568365756944, "train_loss": 3.2137607185960673, "test_loss": 0.8555244006442301, "test_acc1": 79.53200241729736, "test_acc5": 95.07600273742676, "epoch": 185, "n_parameters": 43828456} -{"train_lr": 0.00032760786497508304, "train_loss": 3.2074150651764812, "test_loss": 0.8661215841544397, "test_acc1": 79.23600268280029, "test_acc5": 95.0160025466919, "epoch": 186, "n_parameters": 43828456} -{"train_lr": 0.00032277834642108216, "train_loss": 3.2133505442302575, "test_loss": 0.8659492091021754, "test_acc1": 79.38200253570557, "test_acc5": 95.0280025970459, "epoch": 187, "n_parameters": 43828456} -{"train_lr": 0.00031796881052486697, "train_loss": 3.1990893858132794, "test_loss": 0.8541260594219873, "test_acc1": 79.44200267608643, "test_acc5": 95.16400249145508, "epoch": 188, "n_parameters": 43828456} -{"train_lr": 0.0003131797847062025, "train_loss": 3.188957105032641, "test_loss": 0.8665892119434747, "test_acc1": 79.30400251342773, "test_acc5": 95.14000260864258, "epoch": 189, "n_parameters": 43828456} -{"train_lr": 0.0003084117941357799, "train_loss": 3.1984993767657346, "test_loss": 0.8491539595027765, "test_acc1": 79.49600268951416, "test_acc5": 95.09200234588623, "epoch": 190, "n_parameters": 43828456} -{"train_lr": 0.00030366536167747524, "train_loss": 3.1901556842928405, "test_loss": 0.8587293627135681, "test_acc1": 79.77400259796143, "test_acc5": 95.19600256988525, "epoch": 191, "n_parameters": 43828456} -{"train_lr": 0.00029894100783110664, "train_loss": 3.1837865673571373, "test_loss": 0.8394020700996573, "test_acc1": 79.49200254730225, "test_acc5": 95.22800264953614, "epoch": 192, "n_parameters": 43828456} -{"train_lr": 0.0002942392506752879, "train_loss": 3.183694891065812, "test_loss": 0.841343764441483, "test_acc1": 79.69000265716552, "test_acc5": 95.18200258636475, "epoch": 193, "n_parameters": 43828456} -{"train_lr": 0.0002895606058107011, "train_loss": 3.1665815110448645, "test_loss": 0.867133488822164, "test_acc1": 79.59000269348145, "test_acc5": 95.12600254821777, "epoch": 194, "n_parameters": 43828456} -{"train_lr": 0.0002849055863034561, "train_loss": 3.1697019450336716, "test_loss": 0.8571406473038774, "test_acc1": 79.66800244567871, "test_acc5": 95.21600248260498, "epoch": 195, "n_parameters": 43828456} -{"train_lr": 0.0002802747026289244, "train_loss": 3.1676701083243324, "test_loss": 0.845156718609911, "test_acc1": 79.81800249542236, "test_acc5": 95.31600245147705, "epoch": 196, "n_parameters": 43828456} -{"train_lr": 0.00027566846261567343, "train_loss": 3.1569516404355458, "test_loss": 0.8653314837226362, "test_acc1": 79.59600264373779, "test_acc5": 95.21000250488281, "epoch": 197, "n_parameters": 43828456} -{"train_lr": 0.00027108737138981483, "train_loss": 3.1557289779329185, "test_loss": 0.8465135334567591, "test_acc1": 79.93800245941162, "test_acc5": 95.28400256530762, "epoch": 198, "n_parameters": 43828456} -{"train_lr": 0.00026653193131964784, "train_loss": 3.149485457834485, "test_loss": 0.8302963718094609, "test_acc1": 79.84600245880127, "test_acc5": 95.32000272583008, "epoch": 199, "n_parameters": 43828456} -{"train_lr": 0.00026200264196050673, "train_loss": 3.1423743861518223, "test_loss": 0.8484784618697383, "test_acc1": 79.83200260986328, "test_acc5": 95.25400271270752, "epoch": 200, "n_parameters": 43828456} -{"train_lr": 0.00025750000000000143, "train_loss": 3.140519864541545, "test_loss": 0.8633345016701655, "test_acc1": 79.72800279785156, "test_acc5": 95.26200266357422, "epoch": 201, "n_parameters": 43828456} -{"train_lr": 0.0002530244992035622, "train_loss": 3.135343485217777, "test_loss": 0.8356428380039606, "test_acc1": 80.02400272705079, "test_acc5": 95.34200238586426, "epoch": 202, "n_parameters": 43828456} -{"train_lr": 0.00024857663036030185, "train_loss": 3.1327023195515245, "test_loss": 0.8308750932866876, "test_acc1": 80.04600245941162, "test_acc5": 95.41600265930175, "epoch": 203, "n_parameters": 43828456} -{"train_lr": 0.00024415688122914167, "train_loss": 3.1321594440441527, "test_loss": 0.8543426454293005, "test_acc1": 79.97200259674072, "test_acc5": 95.19400245391846, "epoch": 204, "n_parameters": 43828456} -{"train_lr": 0.00023976573648539732, "train_loss": 3.1202729703496686, "test_loss": 0.829171268438751, "test_acc1": 80.21200258300782, "test_acc5": 95.43000258911133, "epoch": 205, "n_parameters": 43828456} -{"train_lr": 0.0002354036776675575, "train_loss": 3.1162460420629103, "test_loss": 0.8219260743847399, "test_acc1": 80.20600252288818, "test_acc5": 95.4640023803711, "epoch": 206, "n_parameters": 43828456} -{"train_lr": 0.00023107118312454297, "train_loss": 3.1131907495544207, "test_loss": 0.822482783686031, "test_acc1": 80.2440023425293, "test_acc5": 95.4580023550415, "epoch": 207, "n_parameters": 43828456} -{"train_lr": 0.00022676872796319747, "train_loss": 3.1062747228393355, "test_loss": 0.8336714543402195, "test_acc1": 80.29000248718262, "test_acc5": 95.43000241943359, "epoch": 208, "n_parameters": 43828456} -{"train_lr": 0.00022249678399621184, "train_loss": 3.1014822115905756, "test_loss": 0.815823514691808, "test_acc1": 80.35600256896973, "test_acc5": 95.60400242858887, "epoch": 209, "n_parameters": 43828456} -{"train_lr": 0.00021825581969037202, "train_loss": 3.1034386837892205, "test_loss": 0.8249635600456686, "test_acc1": 80.51800258087158, "test_acc5": 95.51000242401123, "epoch": 210, "n_parameters": 43828456} -{"train_lr": 0.0002140463001152288, "train_loss": 3.0959707001368586, "test_loss": 0.8291958201337944, "test_acc1": 80.31800263916016, "test_acc5": 95.44000246124267, "epoch": 211, "n_parameters": 43828456} -{"train_lr": 0.00020986868689201908, "train_loss": 3.088287364545581, "test_loss": 0.8207209551650466, "test_acc1": 80.42800230377198, "test_acc5": 95.55200251190186, "epoch": 212, "n_parameters": 43828456} -{"train_lr": 0.00020572343814312388, "train_loss": 3.0876231656300366, "test_loss": 0.8293688499340506, "test_acc1": 80.42400240325928, "test_acc5": 95.44800259216309, "epoch": 213, "n_parameters": 43828456} -{"train_lr": 0.00020161100844177222, "train_loss": 3.0793499027987083, "test_loss": 0.818393826258905, "test_acc1": 80.51000268493652, "test_acc5": 95.54400259521485, "epoch": 214, "n_parameters": 43828456} -{"train_lr": 0.0001975318487622333, "train_loss": 3.080168511477306, "test_loss": 0.8149761926721443, "test_acc1": 80.59800236511231, "test_acc5": 95.59000252685547, "epoch": 215, "n_parameters": 43828456} -{"train_lr": 0.0001934864064303279, "train_loss": 3.075251001486485, "test_loss": 0.8164715947526874, "test_acc1": 80.67600225646973, "test_acc5": 95.46600253051759, "epoch": 216, "n_parameters": 43828456} -{"train_lr": 0.00018947512507439562, "train_loss": 3.071492094394686, "test_loss": 0.8267193429849364, "test_acc1": 80.29600254089355, "test_acc5": 95.60000252502441, "epoch": 217, "n_parameters": 43828456} -{"train_lr": 0.00018549844457663907, "train_loss": 3.062866894068192, "test_loss": 0.8057402298983299, "test_acc1": 80.51400226226806, "test_acc5": 95.62200248504638, "epoch": 218, "n_parameters": 43828456} -{"train_lr": 0.00018155680102489234, "train_loss": 3.0598498361407045, "test_loss": 0.8129286559467966, "test_acc1": 80.5400022064209, "test_acc5": 95.63200257934571, "epoch": 219, "n_parameters": 43828456} -{"train_lr": 0.00017765062666479713, "train_loss": 3.054426982820177, "test_loss": 0.8064805969144359, "test_acc1": 80.67200258758545, "test_acc5": 95.68800234039307, "epoch": 220, "n_parameters": 43828456} -{"train_lr": 0.0001737803498523614, "train_loss": 3.0419726880024567, "test_loss": 0.8091406153910088, "test_acc1": 80.78000266906739, "test_acc5": 95.65800230407714, "epoch": 221, "n_parameters": 43828456} -{"train_lr": 0.0001699463950070852, "train_loss": 3.0387052521050024, "test_loss": 0.7934513003988699, "test_acc1": 80.93400251861573, "test_acc5": 95.62000255004882, "epoch": 222, "n_parameters": 43828456} -{"train_lr": 0.00016614918256530037, "train_loss": 3.0330253927518043, "test_loss": 0.7909754108298909, "test_acc1": 80.82400255462646, "test_acc5": 95.7180025314331, "epoch": 223, "n_parameters": 43828456} -{"train_lr": 0.0001623891289341519, "train_loss": 3.0299172459198513, "test_loss": 0.8011983749315594, "test_acc1": 81.00600216918946, "test_acc5": 95.69600271606446, "epoch": 224, "n_parameters": 43828456} -{"train_lr": 0.00015866664644587948, "train_loss": 3.0246039728204503, "test_loss": 0.8026484502761653, "test_acc1": 81.01600246002197, "test_acc5": 95.66600276855469, "epoch": 225, "n_parameters": 43828456} -{"train_lr": 0.00015498214331266302, "train_loss": 3.0300946248044593, "test_loss": 0.8066537390378389, "test_acc1": 80.98400261749268, "test_acc5": 95.75200271972656, "epoch": 226, "n_parameters": 43828456} -{"train_lr": 0.00015133602358175863, "train_loss": 3.024133478756622, "test_loss": 0.7960004920535015, "test_acc1": 81.18200245117187, "test_acc5": 95.78000256866456, "epoch": 227, "n_parameters": 43828456} -{"train_lr": 0.00014772868709131358, "train_loss": 3.0166689240865763, "test_loss": 0.8058335373573231, "test_acc1": 81.07400240509033, "test_acc5": 95.74600266815186, "epoch": 228, "n_parameters": 43828456} -{"train_lr": 0.00014416052942639815, "train_loss": 3.0102446709843655, "test_loss": 0.7901193843872258, "test_acc1": 81.11200237792968, "test_acc5": 95.78800264404296, "epoch": 229, "n_parameters": 43828456} -{"train_lr": 0.0001406319418757283, "train_loss": 2.9945288558276912, "test_loss": 0.8101966211741621, "test_acc1": 81.07600264434815, "test_acc5": 95.75200256011964, "epoch": 230, "n_parameters": 43828456} -{"train_lr": 0.00013714331138869076, "train_loss": 3.000485167455235, "test_loss": 0.7940482976987506, "test_acc1": 81.2060022555542, "test_acc5": 95.81400240722657, "epoch": 231, "n_parameters": 43828456} -{"train_lr": 0.00013369502053292505, "train_loss": 2.9932397055230457, "test_loss": 0.7850601682157228, "test_acc1": 81.17200268829346, "test_acc5": 95.8180024017334, "epoch": 232, "n_parameters": 43828456} -{"train_lr": 0.00013028744745238475, "train_loss": 2.993076500382355, "test_loss": 0.798531908767693, "test_acc1": 81.12000265136719, "test_acc5": 95.75200255218506, "epoch": 233, "n_parameters": 43828456} -{"train_lr": 0.0001269209658258495, "train_loss": 2.986769229352331, "test_loss": 0.7948889149860903, "test_acc1": 81.30000266540527, "test_acc5": 95.85200253936767, "epoch": 234, "n_parameters": 43828456} -{"train_lr": 0.0001235959448259827, "train_loss": 2.9740767783160025, "test_loss": 0.786596400832588, "test_acc1": 81.28200249053955, "test_acc5": 95.89000266204835, "epoch": 235, "n_parameters": 43828456} -{"train_lr": 0.00012031274907879949, "train_loss": 2.974954658072534, "test_loss": 0.7807500168229594, "test_acc1": 81.33200260253906, "test_acc5": 95.92400258483887, "epoch": 236, "n_parameters": 43828456} -{"train_lr": 0.00011707173862371172, "train_loss": 2.9664233046636688, "test_loss": 0.7764692209435232, "test_acc1": 81.51400259185792, "test_acc5": 95.96800270355224, "epoch": 237, "n_parameters": 43828456} -{"train_lr": 0.00011387326887403272, "train_loss": 2.9712096613278685, "test_loss": 0.7785208808879057, "test_acc1": 81.37200250305176, "test_acc5": 95.93200264404297, "epoch": 238, "n_parameters": 43828456} -{"train_lr": 0.00011071769057802179, "train_loss": 2.964235989250344, "test_loss": 0.7722241165059985, "test_acc1": 81.34600258361816, "test_acc5": 95.93200260772706, "epoch": 239, "n_parameters": 43828456} -{"train_lr": 0.00010760534978039747, "train_loss": 2.9604151322782566, "test_loss": 0.7726788779325557, "test_acc1": 81.57800275543212, "test_acc5": 95.94600244262695, "epoch": 240, "n_parameters": 43828456} -{"train_lr": 0.00010453658778440302, "train_loss": 2.948845594359054, "test_loss": 0.7816981108802737, "test_acc1": 81.47000258087158, "test_acc5": 96.0060025164795, "epoch": 241, "n_parameters": 43828456} -{"train_lr": 0.0001015117411143637, "train_loss": 2.9444292469871796, "test_loss": 0.7851348462881464, "test_acc1": 81.48600264434815, "test_acc5": 96.00200265869141, "epoch": 242, "n_parameters": 43828456} -{"train_lr": 9.853114147881454e-05, "train_loss": 2.9346962252633273, "test_loss": 0.7911594625223767, "test_acc1": 81.56200260620118, "test_acc5": 96.00600252441406, "epoch": 243, "n_parameters": 43828456} -{"train_lr": 9.559511573409267e-05, "train_loss": 2.9365218362862544, "test_loss": 0.7698636437681589, "test_acc1": 81.70400236907959, "test_acc5": 96.09400255889892, "epoch": 244, "n_parameters": 43828456} -{"train_lr": 9.270398584849976e-05, "train_loss": 2.9264130744454766, "test_loss": 0.7848926215912356, "test_acc1": 81.66600261474609, "test_acc5": 95.98600254394532, "epoch": 245, "n_parameters": 43828456} -{"train_lr": 8.985806886701763e-05, "train_loss": 2.925116529924978, "test_loss": 0.7720592363991521, "test_acc1": 81.74600224212647, "test_acc5": 96.01000253082276, "epoch": 246, "n_parameters": 43828456} -{"train_lr": 8.705767687650155e-05, "train_loss": 2.9184530796907504, "test_loss": 0.7776503342796456, "test_acc1": 81.89800239318848, "test_acc5": 95.9720024545288, "epoch": 247, "n_parameters": 43828456} -{"train_lr": 8.430311697149993e-05, "train_loss": 2.925385836300423, "test_loss": 0.7683457447723909, "test_acc1": 81.82000245880127, "test_acc5": 96.0100023590088, "epoch": 248, "n_parameters": 43828456} -{"train_lr": 8.159469122054745e-05, "train_loss": 2.914377903826326, "test_loss": 0.7649565466651411, "test_acc1": 81.88800268066406, "test_acc5": 96.01000250061036, "epoch": 249, "n_parameters": 43828456} -{"train_lr": 7.893269663304691e-05, "train_loss": 2.912621623475393, "test_loss": 0.7598497653662255, "test_acc1": 81.91200268341065, "test_acc5": 96.06600225189209, "epoch": 250, "n_parameters": 43828456} -{"train_lr": 7.631742512670381e-05, "train_loss": 2.90083946398408, "test_loss": 0.7707628782725695, "test_acc1": 81.87200259338378, "test_acc5": 96.03600236175537, "epoch": 251, "n_parameters": 43828456} -{"train_lr": 7.37491634955067e-05, "train_loss": 2.8977543611963874, "test_loss": 0.7703541154888544, "test_acc1": 81.7660025238037, "test_acc5": 96.06400243896485, "epoch": 252, "n_parameters": 43828456} -{"train_lr": 7.122819337828824e-05, "train_loss": 2.89264885488031, "test_loss": 0.7649758028035815, "test_acc1": 81.98200256866456, "test_acc5": 96.08400253753662, "epoch": 253, "n_parameters": 43828456} -{"train_lr": 6.875479122782832e-05, "train_loss": 2.8855966343868267, "test_loss": 0.7640220555617954, "test_acc1": 81.94000253753661, "test_acc5": 96.09400251983642, "epoch": 254, "n_parameters": 43828456} -{"train_lr": 6.632922828055003e-05, "train_loss": 2.892802050252327, "test_loss": 0.7711384603471467, "test_acc1": 81.90800246185303, "test_acc5": 96.10400230072021, "epoch": 255, "n_parameters": 43828456} -{"train_lr": 6.395177052675899e-05, "train_loss": 2.887487537354874, "test_loss": 0.7653080781526638, "test_acc1": 81.96200239746094, "test_acc5": 96.14800256622314, "epoch": 256, "n_parameters": 43828456} -{"train_lr": 6.162267868149164e-05, "train_loss": 2.886486733738753, "test_loss": 0.7582747654029818, "test_acc1": 82.04600245391846, "test_acc5": 96.17400252441406, "epoch": 257, "n_parameters": 43828456} -{"train_lr": 5.934220815591336e-05, "train_loss": 2.8740152456849026, "test_loss": 0.7607887356796048, "test_acc1": 82.02200243286133, "test_acc5": 96.09800249786377, "epoch": 258, "n_parameters": 43828456} -{"train_lr": 5.7110609029320316e-05, "train_loss": 2.8709497841999685, "test_loss": 0.7685140270852682, "test_acc1": 82.05000256256103, "test_acc5": 96.14200241882324, "epoch": 259, "n_parameters": 43828456} -{"train_lr": 5.492812602170232e-05, "train_loss": 2.8718805989558747, "test_loss": 0.7556497064052206, "test_acc1": 82.13800244445801, "test_acc5": 96.13200260437011, "epoch": 260, "n_parameters": 43828456} -{"train_lr": 5.2794998466913834e-05, "train_loss": 2.8755046231426493, "test_loss": 0.7543124641207132, "test_acc1": 82.10600238708496, "test_acc5": 96.14600266571045, "epoch": 261, "n_parameters": 43828456} -{"train_lr": 5.0711460286429e-05, "train_loss": 2.8618844663567966, "test_loss": 0.7598070212160096, "test_acc1": 82.21200236450196, "test_acc5": 96.14200261260986, "epoch": 262, "n_parameters": 43828456} -{"train_lr": 4.8677739963691566e-05, "train_loss": 2.8658379548483137, "test_loss": 0.7678391258373405, "test_acc1": 82.1000024621582, "test_acc5": 96.18200244628906, "epoch": 263, "n_parameters": 43828456} -{"train_lr": 4.669406051905346e-05, "train_loss": 2.851769030939856, "test_loss": 0.7561409376900304, "test_acc1": 82.32000241607666, "test_acc5": 96.17000230682373, "epoch": 264, "n_parameters": 43828456} -{"train_lr": 4.476063948531632e-05, "train_loss": 2.855001873475947, "test_loss": 0.7582681168886748, "test_acc1": 82.2100026687622, "test_acc5": 96.1120025732422, "epoch": 265, "n_parameters": 43828456} -{"train_lr": 4.287768888388454e-05, "train_loss": 2.8481605243530397, "test_loss": 0.756630762282646, "test_acc1": 82.1680026348877, "test_acc5": 96.18800257049561, "epoch": 266, "n_parameters": 43828456} -{"train_lr": 4.1045415201513915e-05, "train_loss": 2.8442506338123508, "test_loss": 0.7524187495988427, "test_acc1": 82.34200247406005, "test_acc5": 96.14800243286133, "epoch": 267, "n_parameters": 43828456} -{"train_lr": 3.926401936765786e-05, "train_loss": 2.8438836292301914, "test_loss": 0.7598251539536498, "test_acc1": 82.25000265899658, "test_acc5": 96.12800256256104, "epoch": 268, "n_parameters": 43828456} -{"train_lr": 3.753369673244709e-05, "train_loss": 2.835710196615123, "test_loss": 0.7581932729843891, "test_acc1": 82.33800259765626, "test_acc5": 96.15400261566162, "epoch": 269, "n_parameters": 43828456} -{"train_lr": 3.585463704525412e-05, "train_loss": 2.836486374910215, "test_loss": 0.7480768543865645, "test_acc1": 82.53600251190186, "test_acc5": 96.23400247192383, "epoch": 270, "n_parameters": 43828456} -{"train_lr": 3.4227024433899046e-05, "train_loss": 2.8248973486663624, "test_loss": 0.746301263175679, "test_acc1": 82.37200260925293, "test_acc5": 96.19000249847412, "epoch": 271, "n_parameters": 43828456} -{"train_lr": 3.2651037384443736e-05, "train_loss": 2.827205050132162, "test_loss": 0.7546776476683039, "test_acc1": 82.41600257690429, "test_acc5": 96.2140023550415, "epoch": 272, "n_parameters": 43828456} -{"train_lr": 3.112684872162703e-05, "train_loss": 2.8282274445302957, "test_loss": 0.7492678855178934, "test_acc1": 82.46200258209228, "test_acc5": 96.22000227935791, "epoch": 273, "n_parameters": 43828456} -{"train_lr": 2.9654625589913e-05, "train_loss": 2.828869086363428, "test_loss": 0.7507447888228026, "test_acc1": 82.32200243469238, "test_acc5": 96.18600228088378, "epoch": 274, "n_parameters": 43828456} -{"train_lr": 2.8234529435159726e-05, "train_loss": 2.8205823621970953, "test_loss": 0.7511371948728056, "test_acc1": 82.37000228332519, "test_acc5": 96.24200262817382, "epoch": 275, "n_parameters": 43828456} -{"train_lr": 2.686671598691151e-05, "train_loss": 2.8219853477845853, "test_loss": 0.7520352702474955, "test_acc1": 82.52600265197754, "test_acc5": 96.2640023840332, "epoch": 276, "n_parameters": 43828456} -{"train_lr": 2.55513352413271e-05, "train_loss": 2.821345937945288, "test_loss": 0.7533919258099614, "test_acc1": 82.42000266265869, "test_acc5": 96.23000244628906, "epoch": 277, "n_parameters": 43828456} -{"train_lr": 2.4288531444729954e-05, "train_loss": 2.8163688606281077, "test_loss": 0.7491885941814292, "test_acc1": 82.58400241607666, "test_acc5": 96.23000238769531, "epoch": 278, "n_parameters": 43828456} -{"train_lr": 2.3078443077785567e-05, "train_loss": 2.813221277378732, "test_loss": 0.7494265378989053, "test_acc1": 82.53600228363037, "test_acc5": 96.26400250213624, "epoch": 279, "n_parameters": 43828456} -{"train_lr": 2.192120284031953e-05, "train_loss": 2.8020663919756643, "test_loss": 0.7474777674810453, "test_acc1": 82.48000269897462, "test_acc5": 96.23800238128662, "epoch": 280, "n_parameters": 43828456} -{"train_lr": 2.0816937636766537e-05, "train_loss": 2.806759949699104, "test_loss": 0.7420283644036814, "test_acc1": 82.57400256408691, "test_acc5": 96.28800225158692, "epoch": 281, "n_parameters": 43828456} -{"train_lr": 1.976576856224742e-05, "train_loss": 2.806652097238435, "test_loss": 0.7425406803800301, "test_acc1": 82.58200240539551, "test_acc5": 96.28400251800537, "epoch": 282, "n_parameters": 43828456} -{"train_lr": 1.8767810889299472e-05, "train_loss": 2.799239228276326, "test_loss": 0.7449737653474916, "test_acc1": 82.55400237854003, "test_acc5": 96.27000264770508, "epoch": 283, "n_parameters": 43828456} -{"train_lr": 1.7823174055225238e-05, "train_loss": 2.7943144837896123, "test_loss": 0.7472088876547236, "test_acc1": 82.60600242736817, "test_acc5": 96.29000253509521, "epoch": 284, "n_parameters": 43828456} -{"train_lr": 1.6931961650100128e-05, "train_loss": 2.7925528730038733, "test_loss": 0.7447522189468145, "test_acc1": 82.65200252777099, "test_acc5": 96.28800243652344, "epoch": 285, "n_parameters": 43828456} -{"train_lr": 1.609427140540658e-05, "train_loss": 2.794127329862375, "test_loss": 0.7418541793683262, "test_acc1": 82.60600261016846, "test_acc5": 96.2600024169922, "epoch": 286, "n_parameters": 43828456} -{"train_lr": 1.5310195183320784e-05, "train_loss": 2.7893906198173974, "test_loss": 0.7463443747185396, "test_acc1": 82.62200257324218, "test_acc5": 96.26800258026122, "epoch": 287, "n_parameters": 43828456} -{"train_lr": 1.4579818966635116e-05, "train_loss": 2.7909750436111795, "test_loss": 0.7453166262218447, "test_acc1": 82.6400023892212, "test_acc5": 96.3020024533081, "epoch": 288, "n_parameters": 43828456} -{"train_lr": 1.3903222849333426e-05, "train_loss": 2.787211366003747, "test_loss": 0.7441113504835151, "test_acc1": 82.71200266082764, "test_acc5": 96.28600260864258, "epoch": 289, "n_parameters": 43828456} -{"train_lr": 1.3280481027803718e-05, "train_loss": 2.793180447461889, "test_loss": 0.7431973262379566, "test_acc1": 82.60600239379883, "test_acc5": 96.27400243377686, "epoch": 290, "n_parameters": 43828456} -{"train_lr": 1.2711661792704427e-05, "train_loss": 2.7859898217076022, "test_loss": 0.7476624216545712, "test_acc1": 82.63400259429932, "test_acc5": 96.24600255371094, "epoch": 291, "n_parameters": 43828456} -{"train_lr": 1.2196827521475628e-05, "train_loss": 2.7786330526514496, "test_loss": 0.7412724735949076, "test_acc1": 82.72200234222412, "test_acc5": 96.26800225708008, "epoch": 292, "n_parameters": 43828456} -{"train_lr": 1.1736034671495227e-05, "train_loss": 2.7775498875063196, "test_loss": 0.7404749760912224, "test_acc1": 82.58400268676758, "test_acc5": 96.27600244354248, "epoch": 293, "n_parameters": 43828456} -{"train_lr": 1.1329333773893123e-05, "train_loss": 2.779184105120403, "test_loss": 0.7418796193193306, "test_acc1": 82.62600236328124, "test_acc5": 96.30000264770509, "epoch": 294, "n_parameters": 43828456} -{"train_lr": 1.0976769428005425e-05, "train_loss": 2.7824420047392375, "test_loss": 0.7429542196632335, "test_acc1": 82.66800262908936, "test_acc5": 96.2780024685669, "epoch": 295, "n_parameters": 43828456} -{"train_lr": 1.067838029648576e-05, "train_loss": 2.777515463417859, "test_loss": 0.7432056439080925, "test_acc1": 82.65800276184082, "test_acc5": 96.27800247558594, "epoch": 296, "n_parameters": 43828456} -{"train_lr": 1.0434199101065238e-05, "train_loss": 2.781061870493382, "test_loss": 0.7435647019495567, "test_acc1": 82.71200239562988, "test_acc5": 96.29200250854493, "epoch": 297, "n_parameters": 43828456} -{"train_lr": 1.0244252618963044e-05, "train_loss": 2.775228435484816, "test_loss": 0.7417802700039112, "test_acc1": 82.68400239105225, "test_acc5": 96.3320028503418, "epoch": 298, "n_parameters": 43828456} -{"train_lr": 1.0108561679951307e-05, "train_loss": 2.7741668985711394, "test_loss": 0.7412239588006879, "test_acc1": 82.72000266082763, "test_acc5": 96.31000251556397, "epoch": 299, "n_parameters": 43828456} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt deleted file mode 100644 index f6518b832..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_l.txt +++ /dev/null @@ -1,296 +0,0 @@ -{"train_lr": 0.0006003999999999824, "train_loss": 6.158148388353755, "test_loss": 4.277949810028076, "test_acc1": 18.862000567932128, "test_acc5": 40.17000105072022, "epoch": 4, "n_parameters": 60989672} -{"train_lr": 0.0008002000000000078, "train_loss": 5.937452970601195, "test_loss": 3.7839350853905533, "test_acc1": 25.27600072906494, "test_acc5": 49.44000137054444, "epoch": 5, "n_parameters": 60989672} -{"train_lr": 0.0009993216197035084, "train_loss": 5.7390906439124825, "test_loss": 3.412686445496299, "test_acc1": 30.990000865631103, "test_acc5": 56.10200149261475, "epoch": 6, "n_parameters": 60989672} -{"train_lr": 0.000999023230572016, "train_loss": 5.530706957995082, "test_loss": 2.9716287323019723, "test_acc1": 37.67600102996826, "test_acc5": 63.71000182891846, "epoch": 7, "n_parameters": 60989672} -{"train_lr": 0.000998670666226098, "train_loss": 5.3541195670858945, "test_loss": 2.723381055123878, "test_acc1": 42.66600109924316, "test_acc5": 68.34800186676026, "epoch": 8, "n_parameters": 60989672} -{"train_lr": 0.0009982639653285214, "train_loss": 5.195926405090413, "test_loss": 2.5235817260814435, "test_acc1": 46.4220014263916, "test_acc5": 71.80800224639893, "epoch": 9, "n_parameters": 60989672} -{"train_lr": 0.0009978031724785232, "train_loss": 5.0673337423687075, "test_loss": 2.331098261204633, "test_acc1": 49.72800148101807, "test_acc5": 74.96000234466553, "epoch": 10, "n_parameters": 60989672} -{"train_lr": 0.000997288338207296, "train_loss": 4.936666867572913, "test_loss": 2.173138664527373, "test_acc1": 52.204001530456544, "test_acc5": 77.23600228302001, "epoch": 11, "n_parameters": 60989672} -{"train_lr": 0.0009967195189721821, "train_loss": 4.838517283030646, "test_loss": 2.0566823708288595, "test_acc1": 54.648001576538086, "test_acc5": 79.2960026940918, "epoch": 12, "n_parameters": 60989672} -{"train_lr": 0.0009960967771506664, "train_loss": 4.757746106286129, "test_loss": 1.9432192453832338, "test_acc1": 56.35600153778076, "test_acc5": 80.44000253967285, "epoch": 13, "n_parameters": 60989672} -{"train_lr": 0.0009954201810333753, "train_loss": 4.6723150867257095, "test_loss": 1.8867673273339416, "test_acc1": 57.72400153625488, "test_acc5": 81.81400225341797, "epoch": 14, "n_parameters": 60989672} -{"train_lr": 0.0009946898048166896, "train_loss": 4.586379401784816, "test_loss": 1.8466511725476293, "test_acc1": 59.24000169036865, "test_acc5": 82.77800257537842, "epoch": 15, "n_parameters": 60989672} -{"train_lr": 0.000993905728594591, "train_loss": 4.5324992415049286, "test_loss": 1.750637931354118, "test_acc1": 60.51800153564453, "test_acc5": 83.61000279296876, "epoch": 16, "n_parameters": 60989672} -{"train_lr": 0.0009930680383498827, "train_loss": 4.456481154588201, "test_loss": 1.7248268296772784, "test_acc1": 61.896001636657715, "test_acc5": 84.6080025845337, "epoch": 17, "n_parameters": 60989672} -{"train_lr": 0.0009921768259447902, "train_loss": 4.410177179711233, "test_loss": 1.6074233118331793, "test_acc1": 62.95000153198242, "test_acc5": 85.35400247558594, "epoch": 18, "n_parameters": 60989672} -{"train_lr": 0.0009912321891107068, "train_loss": 4.359238170224319, "test_loss": 1.6027564747315464, "test_acc1": 63.484001779174804, "test_acc5": 85.83800253753662, "epoch": 19, "n_parameters": 60989672} -{"train_lr": 0.000990234231437762, "train_loss": 4.31389854032454, "test_loss": 1.5420023281917428, "test_acc1": 64.17200186737061, "test_acc5": 86.40600254333496, "epoch": 20, "n_parameters": 60989672} -{"train_lr": 0.000989183062363242, "train_loss": 4.281499351219212, "test_loss": 1.540139424981493, "test_acc1": 64.98800162475585, "test_acc5": 86.67400270965577, "epoch": 21, "n_parameters": 60989672} -{"train_lr": 0.0009880787971596754, "train_loss": 4.2395555014661745, "test_loss": 1.5028245722254117, "test_acc1": 65.54800198669433, "test_acc5": 87.22400241516114, "epoch": 22, "n_parameters": 60989672} -{"train_lr": 0.0009869215569222388, "train_loss": 4.203923464583741, "test_loss": 1.46182041976488, "test_acc1": 66.16400188995361, "test_acc5": 87.65800252014161, "epoch": 23, "n_parameters": 60989672} -{"train_lr": 0.000985711468555267, "train_loss": 4.170404044010466, "test_loss": 1.4952296761400772, "test_acc1": 66.93800201232911, "test_acc5": 88.10200221282959, "epoch": 24, "n_parameters": 60989672} -{"train_lr": 0.0009844486647586856, "train_loss": 4.140664584607148, "test_loss": 1.4301488665920314, "test_acc1": 67.43400188751221, "test_acc5": 88.27000237243652, "epoch": 25, "n_parameters": 60989672} -{"train_lr": 0.00098313328401311, "train_loss": 4.113114574782664, "test_loss": 1.4378427720882676, "test_acc1": 67.62600221496582, "test_acc5": 88.57400248840332, "epoch": 26, "n_parameters": 60989672} -{"train_lr": 0.0009817654705648337, "train_loss": 4.091138135543544, "test_loss": 1.405995554544709, "test_acc1": 68.40000205718994, "test_acc5": 88.83800277313233, "epoch": 27, "n_parameters": 60989672} -{"train_lr": 0.0009803453744100898, "train_loss": 4.073841056473059, "test_loss": 1.3609686356150743, "test_acc1": 68.21400180480957, "test_acc5": 88.93000259399415, "epoch": 28, "n_parameters": 60989672} -{"train_lr": 0.0009788731512783825, "train_loss": 4.048439773628942, "test_loss": 1.4129166160569047, "test_acc1": 68.73800216156006, "test_acc5": 89.16200258331298, "epoch": 29, "n_parameters": 60989672} -{"train_lr": 0.00097734896261555, "train_loss": 4.0253494462663895, "test_loss": 1.3210766349326482, "test_acc1": 68.89400190490723, "test_acc5": 89.1540027597046, "epoch": 30, "n_parameters": 60989672} -{"train_lr": 0.0009757729755660996, "train_loss": 4.003196145943124, "test_loss": 1.3354949271588614, "test_acc1": 69.36800211883545, "test_acc5": 89.62800264770507, "epoch": 31, "n_parameters": 60989672} -{"train_lr": 0.000974145362954742, "train_loss": 3.98697232347217, "test_loss": 1.2987647099476871, "test_acc1": 69.92000221221925, "test_acc5": 89.95800242828369, "epoch": 32, "n_parameters": 60989672} -{"train_lr": 0.0009724663032675332, "train_loss": 3.964990110872842, "test_loss": 1.351498586887663, "test_acc1": 69.75600189483643, "test_acc5": 89.88000255218506, "epoch": 33, "n_parameters": 60989672} -{"train_lr": 0.000970735980632352, "train_loss": 3.9450734138107606, "test_loss": 1.2755234239227844, "test_acc1": 70.08600212249756, "test_acc5": 90.1800026171875, "epoch": 34, "n_parameters": 60989672} -{"train_lr": 0.0009689545847984843, "train_loss": 3.940138329847825, "test_loss": 1.2750714028423482, "test_acc1": 70.34600233642578, "test_acc5": 90.2140026083374, "epoch": 35, "n_parameters": 60989672} -{"train_lr": 0.000967122311116087, "train_loss": 3.9215298063225217, "test_loss": 1.2636170734961827, "test_acc1": 70.76400207366943, "test_acc5": 90.38800263061523, "epoch": 36, "n_parameters": 60989672} -{"train_lr": 0.000965239360514694, "train_loss": 3.900023940250837, "test_loss": 1.2321065989407627, "test_acc1": 70.97400215820312, "test_acc5": 90.52800253967285, "epoch": 37, "n_parameters": 60989672} -{"train_lr": 0.0009633059394809262, "train_loss": 3.8922137181154732, "test_loss": 1.2244497074773817, "test_acc1": 71.06800225921631, "test_acc5": 90.6980025704956, "epoch": 38, "n_parameters": 60989672} -{"train_lr": 0.0009613222600362934, "train_loss": 3.884443762395784, "test_loss": 1.2139731670419376, "test_acc1": 71.56600230224609, "test_acc5": 90.78000252563477, "epoch": 39, "n_parameters": 60989672} -{"train_lr": 0.0009592885397135909, "train_loss": 3.864244567071029, "test_loss": 1.2471119851777048, "test_acc1": 71.37400208953858, "test_acc5": 90.84600262542725, "epoch": 40, "n_parameters": 60989672} -{"train_lr": 0.0009572050015330907, "train_loss": 3.8541037435535426, "test_loss": 1.2114903127605265, "test_acc1": 71.71800230651856, "test_acc5": 91.09200257720947, "epoch": 41, "n_parameters": 60989672} -{"train_lr": 0.0009550718739782929, "train_loss": 3.8351017754140804, "test_loss": 1.1995136274984388, "test_acc1": 71.6700022906494, "test_acc5": 91.05800250396729, "epoch": 42, "n_parameters": 60989672} -{"train_lr": 0.0009528893909706948, "train_loss": 3.8285092096105755, "test_loss": 1.2148645174774257, "test_acc1": 71.78400245941162, "test_acc5": 91.03600241668701, "epoch": 43, "n_parameters": 60989672} -{"train_lr": 0.0009506577918441058, "train_loss": 3.8263932330002315, "test_loss": 1.1587275546608549, "test_acc1": 72.20200255981446, "test_acc5": 91.26000271362305, "epoch": 44, "n_parameters": 60989672} -{"train_lr": 0.0009483773213185082, "train_loss": 3.818322384671913, "test_loss": 1.1798846644885612, "test_acc1": 72.19400227203369, "test_acc5": 91.44600244995117, "epoch": 45, "n_parameters": 60989672} -{"train_lr": 0.0009460482294732177, "train_loss": 3.8062222790327387, "test_loss": 1.213668155625011, "test_acc1": 72.02000219787598, "test_acc5": 91.24800230407715, "epoch": 46, "n_parameters": 60989672} -{"train_lr": 0.000943670771719436, "train_loss": 3.798132690594351, "test_loss": 1.226429439403794, "test_acc1": 72.18600226165772, "test_acc5": 91.37400255493164, "epoch": 47, "n_parameters": 60989672} -{"train_lr": 0.0009412452087721683, "train_loss": 3.7729516542501016, "test_loss": 1.148477112479282, "test_acc1": 72.41000243286133, "test_acc5": 91.58200239776612, "epoch": 48, "n_parameters": 60989672} -{"train_lr": 0.0009387718066217019, "train_loss": 3.775033924410002, "test_loss": 1.2358699881217696, "test_acc1": 72.39200234680176, "test_acc5": 91.28400265686035, "epoch": 49, "n_parameters": 60989672} -{"train_lr": 0.000936250836504503, "train_loss": 3.7776100693656196, "test_loss": 1.1606811348235968, "test_acc1": 72.46000226593017, "test_acc5": 91.65800247589111, "epoch": 50, "n_parameters": 60989672} -{"train_lr": 0.0009336825748732897, "train_loss": 3.7612423199257976, "test_loss": 1.172486638932517, "test_acc1": 72.67800231964111, "test_acc5": 91.71000267852783, "epoch": 51, "n_parameters": 60989672} -{"train_lr": 0.0009310673033669664, "train_loss": 3.7430023701785564, "test_loss": 1.1725434724128607, "test_acc1": 72.74200245758057, "test_acc5": 91.74000270721436, "epoch": 52, "n_parameters": 60989672} -{"train_lr": 0.0009284053087794627, "train_loss": 3.7508955196939784, "test_loss": 1.182446431707252, "test_acc1": 72.92600251922607, "test_acc5": 91.88200268981933, "epoch": 53, "n_parameters": 60989672} -{"train_lr": 0.0009256968830284788, "train_loss": 3.72656802303023, "test_loss": 1.1463159277583614, "test_acc1": 72.88400226409912, "test_acc5": 91.95000266387939, "epoch": 54, "n_parameters": 60989672} -{"train_lr": 0.0009229423231234935, "train_loss": 3.727430302080967, "test_loss": 1.1582675233031765, "test_acc1": 73.09400233062745, "test_acc5": 91.86600243652343, "epoch": 55, "n_parameters": 60989672} -{"train_lr": 0.0009201419311329745, "train_loss": 3.7193971170510034, "test_loss": 1.1191822115444776, "test_acc1": 73.35200244781494, "test_acc5": 92.14600266143799, "epoch": 56, "n_parameters": 60989672} -{"train_lr": 0.0009172960141514878, "train_loss": 3.713040031689248, "test_loss": 1.1282780913240982, "test_acc1": 73.26000233489991, "test_acc5": 92.18000257171632, "epoch": 57, "n_parameters": 60989672} -{"train_lr": 0.0009144048842658995, "train_loss": 3.7117648674048587, "test_loss": 1.1049076672078986, "test_acc1": 73.61400209838867, "test_acc5": 92.12600237365723, "epoch": 58, "n_parameters": 60989672} -{"train_lr": 0.0009114688585212051, "train_loss": 3.700605339736199, "test_loss": 1.1303838378552236, "test_acc1": 73.6260026272583, "test_acc5": 92.18600282501221, "epoch": 59, "n_parameters": 60989672} -{"train_lr": 0.0009084882588856559, "train_loss": 3.697006997516115, "test_loss": 1.0831524937441854, "test_acc1": 73.67600257293701, "test_acc5": 92.37600241271973, "epoch": 60, "n_parameters": 60989672} -{"train_lr": 0.0009054634122156225, "train_loss": 3.686516508019323, "test_loss": 1.1263062258561451, "test_acc1": 73.62000242340088, "test_acc5": 92.29600251617431, "epoch": 61, "n_parameters": 60989672} -{"train_lr": 0.0009023946502195918, "train_loss": 3.678263675037334, "test_loss": 1.1577911381468629, "test_acc1": 73.7660025, "test_acc5": 92.18000269714355, "epoch": 62, "n_parameters": 60989672} -{"train_lr": 0.0008992823094219693, "train_loss": 3.6733636188326027, "test_loss": 1.123014034421155, "test_acc1": 73.67400262664795, "test_acc5": 92.10800252746581, "epoch": 63, "n_parameters": 60989672} -{"train_lr": 0.0008961267311259657, "train_loss": 3.6708016860828123, "test_loss": 1.1247971123366645, "test_acc1": 74.25000254852294, "test_acc5": 92.25600217346191, "epoch": 64, "n_parameters": 60989672} -{"train_lr": 0.0008929282613763057, "train_loss": 3.6720167949712343, "test_loss": 1.1084634448316963, "test_acc1": 73.96000241363525, "test_acc5": 92.47000264556885, "epoch": 65, "n_parameters": 60989672} -{"train_lr": 0.0008896872509212006, "train_loss": 3.6621863252634435, "test_loss": 1.1021088340291472, "test_acc1": 74.07400257598877, "test_acc5": 92.53400270355225, "epoch": 66, "n_parameters": 60989672} -{"train_lr": 0.0008864040551740224, "train_loss": 3.6547864693627177, "test_loss": 1.0669705241241239, "test_acc1": 74.05200245422364, "test_acc5": 92.48200270599365, "epoch": 67, "n_parameters": 60989672} -{"train_lr": 0.0008830790341741554, "train_loss": 3.6449028973242075, "test_loss": 1.0942825684041688, "test_acc1": 74.30600254882812, "test_acc5": 92.41400247619629, "epoch": 68, "n_parameters": 60989672} -{"train_lr": 0.000879712552547612, "train_loss": 3.645824326361588, "test_loss": 1.0953897652075146, "test_acc1": 73.9860021862793, "test_acc5": 92.57000219726562, "epoch": 69, "n_parameters": 60989672} -{"train_lr": 0.0008763049794670927, "train_loss": 3.6350556443825806, "test_loss": 1.0907663174650886, "test_acc1": 74.37400235473633, "test_acc5": 92.68600240875244, "epoch": 70, "n_parameters": 60989672} -{"train_lr": 0.0008728566886112912, "train_loss": 3.626413371518171, "test_loss": 1.109173549395619, "test_acc1": 74.18600243347169, "test_acc5": 92.53000274139404, "epoch": 71, "n_parameters": 60989672} -{"train_lr": 0.000869368058124286, "train_loss": 3.6318547675411383, "test_loss": 1.058843763150049, "test_acc1": 74.4160026776123, "test_acc5": 92.83400257080078, "epoch": 72, "n_parameters": 60989672} -{"train_lr": 0.0008658394705736102, "train_loss": 3.6218572786147836, "test_loss": 1.1082475065733448, "test_acc1": 74.28600252410888, "test_acc5": 92.65400267486572, "epoch": 73, "n_parameters": 60989672} -{"train_lr": 0.0008622713129087039, "train_loss": 3.6138355341746653, "test_loss": 1.0676598564693422, "test_acc1": 74.83800264312744, "test_acc5": 92.81000235900879, "epoch": 74, "n_parameters": 60989672} -{"train_lr": 0.0008586639764182332, "train_loss": 3.6141983036228793, "test_loss": 1.0479258726717848, "test_acc1": 74.83600237579346, "test_acc5": 92.9080026473999, "epoch": 75, "n_parameters": 60989672} -{"train_lr": 0.0008550178566873157, "train_loss": 3.6144206770699467, "test_loss": 1.0288001283100157, "test_acc1": 74.90400265075684, "test_acc5": 92.85600222290039, "epoch": 76, "n_parameters": 60989672} -{"train_lr": 0.0008513333535541272, "train_loss": 3.604775544693716, "test_loss": 1.0617519865433376, "test_acc1": 74.87400257019043, "test_acc5": 92.85000236419678, "epoch": 77, "n_parameters": 60989672} -{"train_lr": 0.0008476108710658582, "train_loss": 3.6007663054193713, "test_loss": 1.067770347337831, "test_acc1": 74.7400025152588, "test_acc5": 92.74200273498535, "epoch": 78, "n_parameters": 60989672} -{"train_lr": 0.00084385081743468, "train_loss": 3.5981484912663437, "test_loss": 1.063223027595968, "test_acc1": 74.69000254302979, "test_acc5": 92.75400245239258, "epoch": 79, "n_parameters": 60989672} -{"train_lr": 0.0008400536049929256, "train_loss": 3.589818451139662, "test_loss": 1.0437602593817494, "test_acc1": 75.06400253082275, "test_acc5": 93.07800261291504, "epoch": 80, "n_parameters": 60989672} -{"train_lr": 0.0008362196501476587, "train_loss": 3.5860439914164783, "test_loss": 1.0577138919721951, "test_acc1": 74.9040026437378, "test_acc5": 92.95400245483398, "epoch": 81, "n_parameters": 60989672} -{"train_lr": 0.0008323493733352106, "train_loss": 3.592616786630891, "test_loss": 1.0920544158328662, "test_acc1": 75.15400265594482, "test_acc5": 92.93400248962402, "epoch": 82, "n_parameters": 60989672} -{"train_lr": 0.0008284431989751196, "train_loss": 3.5742496197029268, "test_loss": 1.0435146853101975, "test_acc1": 74.94000219360352, "test_acc5": 92.9920025076294, "epoch": 83, "n_parameters": 60989672} -{"train_lr": 0.0008245015554233518, "train_loss": 3.572788352183968, "test_loss": 1.0865417396028836, "test_acc1": 75.16000239105225, "test_acc5": 92.82800262329101, "epoch": 84, "n_parameters": 60989672} -{"train_lr": 0.0008205248749255873, "train_loss": 3.564737607844823, "test_loss": 1.0338994052374002, "test_acc1": 75.22800251647949, "test_acc5": 92.94800240356446, "epoch": 85, "n_parameters": 60989672} -{"train_lr": 0.0008165135935696841, "train_loss": 3.560092433822527, "test_loss": 1.0460455831930493, "test_acc1": 75.13600251037597, "test_acc5": 93.15000241485596, "epoch": 86, "n_parameters": 60989672} -{"train_lr": 0.0008124681512377846, "train_loss": 3.566735852465069, "test_loss": 1.0500586142368389, "test_acc1": 75.40200252655029, "test_acc5": 93.11600249237061, "epoch": 87, "n_parameters": 60989672} -{"train_lr": 0.0008083889915582182, "train_loss": 3.5577668197673384, "test_loss": 1.0343616831709037, "test_acc1": 75.17600235351563, "test_acc5": 93.04800240783692, "epoch": 88, "n_parameters": 60989672} -{"train_lr": 0.0008042765618568846, "train_loss": 3.554107147250339, "test_loss": 1.0311782390556552, "test_acc1": 75.28000253265381, "test_acc5": 93.11200254455566, "epoch": 89, "n_parameters": 60989672} -{"train_lr": 0.0008001313131079711, "train_loss": 3.5486227973854896, "test_loss": 1.0464074943553319, "test_acc1": 75.7040025881958, "test_acc5": 93.29000251464844, "epoch": 90, "n_parameters": 60989672} -{"train_lr": 0.0007959536998847494, "train_loss": 3.5479952434984616, "test_loss": 1.0139798829049775, "test_acc1": 75.5920025527954, "test_acc5": 93.25200262786865, "epoch": 91, "n_parameters": 60989672} -{"train_lr": 0.0007917441803096098, "train_loss": 3.53395355622069, "test_loss": 1.0070054788481106, "test_acc1": 75.80000227111816, "test_acc5": 93.33200230743408, "epoch": 92, "n_parameters": 60989672} -{"train_lr": 0.0007875032160038205, "train_loss": 3.5300739698058408, "test_loss": 1.0152402257151676, "test_acc1": 75.64400260437012, "test_acc5": 93.19400244384765, "epoch": 93, "n_parameters": 60989672} -{"train_lr": 0.0007832312720368117, "train_loss": 3.5216863245653403, "test_loss": 1.021143906721563, "test_acc1": 75.85600225494385, "test_acc5": 93.39200232177734, "epoch": 94, "n_parameters": 60989672} -{"train_lr": 0.0007789288168754665, "train_loss": 3.5311179507693513, "test_loss": 0.995040629962177, "test_acc1": 75.89800226593017, "test_acc5": 93.5120023425293, "epoch": 95, "n_parameters": 60989672} -{"train_lr": 0.0007745963223324492, "train_loss": 3.5308764428734114, "test_loss": 1.0336688842737314, "test_acc1": 75.77200240661621, "test_acc5": 93.3560026296997, "epoch": 96, "n_parameters": 60989672} -{"train_lr": 0.0007702342635146132, "train_loss": 3.5302953592879023, "test_loss": 0.9912662822188754, "test_acc1": 75.94400248443604, "test_acc5": 93.44600264404296, "epoch": 97, "n_parameters": 60989672} -{"train_lr": 0.0007658431187708385, "train_loss": 3.5052075837965875, "test_loss": 1.0058987860878308, "test_acc1": 75.76600238983154, "test_acc5": 93.49600257293702, "epoch": 98, "n_parameters": 60989672} -{"train_lr": 0.0007614233696396923, "train_loss": 3.515190725120233, "test_loss": 0.9878947767570163, "test_acc1": 76.02400230316162, "test_acc5": 93.54600265747071, "epoch": 99, "n_parameters": 60989672} -{"train_lr": 0.0007569755007964469, "train_loss": 3.5154870524942923, "test_loss": 0.9958579787476496, "test_acc1": 75.93800236816406, "test_acc5": 93.54800251983643, "epoch": 100, "n_parameters": 60989672} -{"train_lr": 0.0007525000000000169, "train_loss": 3.5007948554295907, "test_loss": 1.0095245597714728, "test_acc1": 75.96400247894287, "test_acc5": 93.4700027468872, "epoch": 101, "n_parameters": 60989672} -{"train_lr": 0.0007479973580395145, "train_loss": 3.498424925773645, "test_loss": 1.0112809942978802, "test_acc1": 76.06800250457763, "test_acc5": 93.62200248413086, "epoch": 102, "n_parameters": 60989672} -{"train_lr": 0.0007434680686803327, "train_loss": 3.4978087945140715, "test_loss": 0.9972788688134063, "test_acc1": 76.07200255157471, "test_acc5": 93.5320025668335, "epoch": 103, "n_parameters": 60989672} -{"train_lr": 0.0007389126286101685, "train_loss": 3.4905188179416338, "test_loss": 1.0008330017779812, "test_acc1": 75.96200264892578, "test_acc5": 93.46200235046386, "epoch": 104, "n_parameters": 60989672} -{"train_lr": 0.0007343315373843357, "train_loss": 3.4936678997880453, "test_loss": 1.0030241014830994, "test_acc1": 75.93200232513428, "test_acc5": 93.40800245758057, "epoch": 105, "n_parameters": 60989672} -{"train_lr": 0.0007297252973710595, "train_loss": 3.489773926641539, "test_loss": 0.99713811007413, "test_acc1": 76.09000248657226, "test_acc5": 93.63400247711182, "epoch": 106, "n_parameters": 60989672} -{"train_lr": 0.0007250944136965275, "train_loss": 3.4851770394330592, "test_loss": 1.0096940024558343, "test_acc1": 76.18000224578857, "test_acc5": 93.61800255249024, "epoch": 107, "n_parameters": 60989672} -{"train_lr": 0.0007204393941893078, "train_loss": 3.480950635828846, "test_loss": 1.0067474330690773, "test_acc1": 76.25200250946045, "test_acc5": 93.53200234863282, "epoch": 108, "n_parameters": 60989672} -{"train_lr": 0.0007157607493246968, "train_loss": 3.4740340739703006, "test_loss": 0.983274185296261, "test_acc1": 76.30400230285645, "test_acc5": 93.61800245239257, "epoch": 109, "n_parameters": 60989672} -{"train_lr": 0.0007110589921689151, "train_loss": 3.4827688680492717, "test_loss": 0.9635417997611292, "test_acc1": 76.41200258728027, "test_acc5": 93.77200270843505, "epoch": 110, "n_parameters": 60989672} -{"train_lr": 0.0007063346383225066, "train_loss": 3.465387133040207, "test_loss": 0.9832256772752964, "test_acc1": 76.46600266845704, "test_acc5": 93.71400226348877, "epoch": 111, "n_parameters": 60989672} -{"train_lr": 0.0007015882058641976, "train_loss": 3.461395466689774, "test_loss": 0.989784830786062, "test_acc1": 76.38200244934082, "test_acc5": 93.66800240264892, "epoch": 112, "n_parameters": 60989672} -{"train_lr": 0.0006968202152938009, "train_loss": 3.4603213548040888, "test_loss": 1.0029593893524371, "test_acc1": 76.43400275299072, "test_acc5": 93.7480022668457, "epoch": 113, "n_parameters": 60989672} -{"train_lr": 0.0006920311894751397, "train_loss": 3.4512128793030716, "test_loss": 0.9721983488310467, "test_acc1": 76.68800247070313, "test_acc5": 93.85400257019043, "epoch": 114, "n_parameters": 60989672} -{"train_lr": 0.0006872216535789267, "train_loss": 3.448369121582483, "test_loss": 0.9708850027033777, "test_acc1": 76.84000274291992, "test_acc5": 93.7300024798584, "epoch": 115, "n_parameters": 60989672} -{"train_lr": 0.0006823921350249367, "train_loss": 3.449241964329633, "test_loss": 0.9721345877782865, "test_acc1": 76.78200256958007, "test_acc5": 93.7680024975586, "epoch": 116, "n_parameters": 60989672} -{"train_lr": 0.0006775431634242846, "train_loss": 3.4414023661927926, "test_loss": 0.9605107633679202, "test_acc1": 76.69400247009277, "test_acc5": 93.86000259429932, "epoch": 117, "n_parameters": 60989672} -{"train_lr": 0.0006726752705214028, "train_loss": 3.451552047920551, "test_loss": 0.9789487331202535, "test_acc1": 76.68600248809814, "test_acc5": 93.81800254974365, "epoch": 118, "n_parameters": 60989672} -{"train_lr": 0.0006677889901356115, "train_loss": 3.4337588742101413, "test_loss": 0.9672436454530918, "test_acc1": 76.57400240570068, "test_acc5": 93.83400237060548, "epoch": 119, "n_parameters": 60989672} -{"train_lr": 0.0006628848581025351, "train_loss": 3.433483381137002, "test_loss": 0.9767009443180128, "test_acc1": 76.9100024557495, "test_acc5": 93.81400231658935, "epoch": 120, "n_parameters": 60989672} -{"train_lr": 0.0006579634122155856, "train_loss": 3.4206340747366517, "test_loss": 0.9760015105659311, "test_acc1": 76.8640025982666, "test_acc5": 93.94000244995117, "epoch": 121, "n_parameters": 60989672} -{"train_lr": 0.0006530251921667783, "train_loss": 3.416060979036595, "test_loss": 0.9541641176875794, "test_acc1": 76.84000268615722, "test_acc5": 94.02200239562988, "epoch": 122, "n_parameters": 60989672} -{"train_lr": 0.0006480707394875038, "train_loss": 3.4244995061680377, "test_loss": 0.9832752362796755, "test_acc1": 77.03000258148194, "test_acc5": 94.06400260162353, "epoch": 123, "n_parameters": 60989672} -{"train_lr": 0.0006431005974894059, "train_loss": 3.4172177047942944, "test_loss": 0.9598119328870918, "test_acc1": 77.10800252166749, "test_acc5": 94.02000256164551, "epoch": 124, "n_parameters": 60989672} -{"train_lr": 0.000638115311204536, "train_loss": 3.4124045354618633, "test_loss": 0.9800732345743612, "test_acc1": 76.94800251098633, "test_acc5": 93.8400023727417, "epoch": 125, "n_parameters": 60989672} -{"train_lr": 0.0006331154273257683, "train_loss": 3.4095172339992272, "test_loss": 0.9460692164121252, "test_acc1": 77.20000245605469, "test_acc5": 94.10000227813721, "epoch": 126, "n_parameters": 60989672} -{"train_lr": 0.0006281014941466044, "train_loss": 3.4023984220626353, "test_loss": 0.946274447960384, "test_acc1": 77.43600233734131, "test_acc5": 94.18800261199951, "epoch": 127, "n_parameters": 60989672} -{"train_lr": 0.000623074061501409, "train_loss": 3.3977306710301542, "test_loss": 0.9430693924201258, "test_acc1": 77.41200254821777, "test_acc5": 94.18600266296387, "epoch": 128, "n_parameters": 60989672} -{"train_lr": 0.0006180336807047859, "train_loss": 3.3952016545047194, "test_loss": 0.9578439831507929, "test_acc1": 77.18600269744873, "test_acc5": 94.0680026071167, "epoch": 129, "n_parameters": 60989672} -{"train_lr": 0.0006129809044912789, "train_loss": 3.388441337026852, "test_loss": 0.9507078000090339, "test_acc1": 77.54600249389648, "test_acc5": 94.16000264434814, "epoch": 130, "n_parameters": 60989672} -{"train_lr": 0.0006079162869547817, "train_loss": 3.39665844664871, "test_loss": 0.9444427210273165, "test_acc1": 77.39200239959717, "test_acc5": 94.04200257476806, "epoch": 131, "n_parameters": 60989672} -{"train_lr": 0.0006028403834876773, "train_loss": 3.3962015076030454, "test_loss": 0.9394521055122217, "test_acc1": 77.19600257598877, "test_acc5": 94.17800249847411, "epoch": 132, "n_parameters": 60989672} -{"train_lr": 0.0005977537507199184, "train_loss": 3.3814962337271486, "test_loss": 0.9372265608699033, "test_acc1": 77.61000250488281, "test_acc5": 94.21200242126464, "epoch": 133, "n_parameters": 60989672} -{"train_lr": 0.0005926569464581887, "train_loss": 3.3797845649633476, "test_loss": 0.9416083377419096, "test_acc1": 77.55400255828857, "test_acc5": 94.11600278778076, "epoch": 134, "n_parameters": 60989672} -{"train_lr": 0.0005875505296244566, "train_loss": 3.3683774115251217, "test_loss": 0.9284995559490088, "test_acc1": 77.82600251770019, "test_acc5": 94.29000265747071, "epoch": 135, "n_parameters": 60989672} -{"train_lr": 0.0005824350601949218, "train_loss": 3.37115420772732, "test_loss": 0.9421935149214484, "test_acc1": 77.67400250152588, "test_acc5": 94.21600254394531, "epoch": 136, "n_parameters": 60989672} -{"train_lr": 0.0005773110991383895, "train_loss": 3.365361718655967, "test_loss": 0.958660934571967, "test_acc1": 77.64800271850586, "test_acc5": 94.30800261199951, "epoch": 137, "n_parameters": 60989672} -{"train_lr": 0.0005721792083549796, "train_loss": 3.362530420616948, "test_loss": 0.9310002601282164, "test_acc1": 77.78400268096924, "test_acc5": 94.3380024371338, "epoch": 138, "n_parameters": 60989672} -{"train_lr": 0.0005670399506143469, "train_loss": 3.357231179789769, "test_loss": 0.9203438027338549, "test_acc1": 77.66000228698731, "test_acc5": 94.27600237609863, "epoch": 139, "n_parameters": 60989672} -{"train_lr": 0.0005618938894939768, "train_loss": 3.3603273730317085, "test_loss": 0.9523274468427355, "test_acc1": 77.6120023461914, "test_acc5": 94.33200257751464, "epoch": 140, "n_parameters": 60989672} -{"train_lr": 0.0005567415893175016, "train_loss": 3.3520788632922893, "test_loss": 0.9276941821656444, "test_acc1": 77.85200272857666, "test_acc5": 94.34400258880615, "epoch": 141, "n_parameters": 60989672} -{"train_lr": 0.0005515836150926655, "train_loss": 3.34560566109052, "test_loss": 0.9208671777988925, "test_acc1": 77.94600234985352, "test_acc5": 94.44000272125244, "epoch": 142, "n_parameters": 60989672} -{"train_lr": 0.0005464205324494959, "train_loss": 3.339045861499201, "test_loss": 0.9192491720120112, "test_acc1": 77.85800246520996, "test_acc5": 94.43800247711182, "epoch": 143, "n_parameters": 60989672} -{"train_lr": 0.0005412529075781865, "train_loss": 3.345427847975831, "test_loss": 0.9089156407298464, "test_acc1": 78.04400269897461, "test_acc5": 94.43000235717773, "epoch": 144, "n_parameters": 60989672} -{"train_lr": 0.0005360813071670112, "train_loss": 3.339799170728496, "test_loss": 0.901499938671336, "test_acc1": 78.06000241088867, "test_acc5": 94.43800253570556, "epoch": 145, "n_parameters": 60989672} -{"train_lr": 0.0005309062983402611, "train_loss": 3.3289729119609777, "test_loss": 0.9200800937233549, "test_acc1": 77.9460025402832, "test_acc5": 94.35400232543945, "epoch": 146, "n_parameters": 60989672} -{"train_lr": 0.0005257284485959572, "train_loss": 3.335118111291473, "test_loss": 0.9426120821047913, "test_acc1": 77.7900023373413, "test_acc5": 94.5140026965332, "epoch": 147, "n_parameters": 60989672} -{"train_lr": 0.0005205483257436661, "train_loss": 3.3293810628420064, "test_loss": 0.8829439116472547, "test_acc1": 78.29600239593506, "test_acc5": 94.59400255767822, "epoch": 148, "n_parameters": 60989672} -{"train_lr": 0.0005153664978422618, "train_loss": 3.3197048780657976, "test_loss": 0.8955189486344656, "test_acc1": 78.15200260314941, "test_acc5": 94.47200246948242, "epoch": 149, "n_parameters": 60989672} -{"train_lr": 0.0005101835331375457, "train_loss": 3.3174965478700225, "test_loss": 0.8922039197024071, "test_acc1": 78.40400212280274, "test_acc5": 94.63000260345459, "epoch": 150, "n_parameters": 60989672} -{"train_lr": 0.0005049999999999881, "train_loss": 3.3078986459332023, "test_loss": 0.9012141249170809, "test_acc1": 78.27000256317139, "test_acc5": 94.56000262023926, "epoch": 151, "n_parameters": 60989672} -{"train_lr": 0.0004998164668624689, "train_loss": 3.3066659861926935, "test_loss": 0.8929724996965943, "test_acc1": 78.48800249725342, "test_acc5": 94.5560025543213, "epoch": 152, "n_parameters": 60989672} -{"train_lr": 0.0004946335021577291, "train_loss": 3.3082636502578104, "test_loss": 0.9150928831235929, "test_acc1": 78.19600248016357, "test_acc5": 94.5860026296997, "epoch": 153, "n_parameters": 60989672} -{"train_lr": 0.0004894516742563275, "train_loss": 3.299612616296771, "test_loss": 0.9024629638050542, "test_acc1": 78.41000277191162, "test_acc5": 94.66200242706299, "epoch": 154, "n_parameters": 60989672} -{"train_lr": 0.0004842715514040588, "train_loss": 3.2946839235502656, "test_loss": 0.9044944334662322, "test_acc1": 78.61400247924804, "test_acc5": 94.65400278717041, "epoch": 155, "n_parameters": 60989672} -{"train_lr": 0.00047909370165973703, "train_loss": 3.290712795478644, "test_loss": 0.8801710047956669, "test_acc1": 78.71200256744385, "test_acc5": 94.626002734375, "epoch": 156, "n_parameters": 60989672} -{"train_lr": 0.00047391869283298395, "train_loss": 3.2905323025253086, "test_loss": 0.9047459623578823, "test_acc1": 78.52600239196778, "test_acc5": 94.7120025064087, "epoch": 157, "n_parameters": 60989672} -{"train_lr": 0.0004687470924218306, "train_loss": 3.287620012696794, "test_loss": 0.9129853991396499, "test_acc1": 78.39400245147705, "test_acc5": 94.70000248962403, "epoch": 158, "n_parameters": 60989672} -{"train_lr": 0.0004635794675504931, "train_loss": 3.28191414705331, "test_loss": 0.8960731346724611, "test_acc1": 78.87600257843017, "test_acc5": 94.82800290252686, "epoch": 159, "n_parameters": 60989672} -{"train_lr": 0.0004584163849073357, "train_loss": 3.286227996365058, "test_loss": 0.8906668070139308, "test_acc1": 78.57800276489257, "test_acc5": 94.80800240875244, "epoch": 160, "n_parameters": 60989672} -{"train_lr": 0.0004532584106825094, "train_loss": 3.2672342094276354, "test_loss": 0.8873142676823067, "test_acc1": 78.70800227722168, "test_acc5": 94.74200245391846, "epoch": 161, "n_parameters": 60989672} -{"train_lr": 0.0004481061105060409, "train_loss": 3.2656525423010287, "test_loss": 0.887819425513347, "test_acc1": 78.78200287322998, "test_acc5": 94.88200263061523, "epoch": 162, "n_parameters": 60989672} -{"train_lr": 0.00044296004938566933, "train_loss": 3.2631369386550237, "test_loss": 0.8772928257557479, "test_acc1": 79.0660026864624, "test_acc5": 94.89200257141113, "epoch": 163, "n_parameters": 60989672} -{"train_lr": 0.0004378207916450146, "train_loss": 3.2659586790463715, "test_loss": 0.8826335034135616, "test_acc1": 78.63600269500732, "test_acc5": 94.89000257507324, "epoch": 164, "n_parameters": 60989672} -{"train_lr": 0.00043268890086160794, "train_loss": 3.2594936251950015, "test_loss": 0.8868709334144087, "test_acc1": 78.95600277893067, "test_acc5": 94.920002628479, "epoch": 165, "n_parameters": 60989672} -{"train_lr": 0.00042756493980507503, "train_loss": 3.24596725918835, "test_loss": 0.8641573370180347, "test_acc1": 78.74800249481201, "test_acc5": 94.86000261108398, "epoch": 166, "n_parameters": 60989672} -{"train_lr": 0.0004224494703755201, "train_loss": 3.2471432894539776, "test_loss": 0.8753760182722048, "test_acc1": 79.09200255615234, "test_acc5": 94.82800258209228, "epoch": 167, "n_parameters": 60989672} -{"train_lr": 0.00041734305354179923, "train_loss": 3.235447472757954, "test_loss": 0.883409162249529, "test_acc1": 78.93000267272949, "test_acc5": 94.92800252502441, "epoch": 168, "n_parameters": 60989672} -{"train_lr": 0.0004122462492800569, "train_loss": 3.2406578654532048, "test_loss": 0.876109437960567, "test_acc1": 79.07400240631104, "test_acc5": 94.85000251281738, "epoch": 169, "n_parameters": 60989672} -{"train_lr": 0.0004071596165123325, "train_loss": 3.2363459217272026, "test_loss": 0.8708971306455858, "test_acc1": 79.1260026461792, "test_acc5": 94.90000246917725, "epoch": 170, "n_parameters": 60989672} -{"train_lr": 0.0004020837130452182, "train_loss": 3.236430208984134, "test_loss": 0.8656229323735742, "test_acc1": 79.296002711792, "test_acc5": 95.092002527771, "epoch": 171, "n_parameters": 60989672} -{"train_lr": 0.00039701909550871056, "train_loss": 3.219023335704224, "test_loss": 0.8625688032444679, "test_acc1": 79.27000253936768, "test_acc5": 94.95000239196777, "epoch": 172, "n_parameters": 60989672} -{"train_lr": 0.0003919663192952229, "train_loss": 3.2261342037734178, "test_loss": 0.859813277694312, "test_acc1": 79.03400268341065, "test_acc5": 94.9740024282837, "epoch": 173, "n_parameters": 60989672} -{"train_lr": 0.00038692593849859734, "train_loss": 3.2159763084446116, "test_loss": 0.8567869005103906, "test_acc1": 79.24000269805909, "test_acc5": 95.12800265319824, "epoch": 174, "n_parameters": 60989672} -{"train_lr": 0.0003818985058534034, "train_loss": 3.2121661104244006, "test_loss": 0.8732153909901778, "test_acc1": 79.23800249298095, "test_acc5": 95.01000258911132, "epoch": 175, "n_parameters": 60989672} -{"train_lr": 0.0003768845726742596, "train_loss": 3.2130140382037173, "test_loss": 0.8617757462868185, "test_acc1": 79.49000273529053, "test_acc5": 95.13200263702393, "epoch": 176, "n_parameters": 60989672} -{"train_lr": 0.0003718846887954506, "train_loss": 3.209406288550626, "test_loss": 0.8548268067340056, "test_acc1": 79.27800260589599, "test_acc5": 95.06800227111816, "epoch": 177, "n_parameters": 60989672} -{"train_lr": 0.00036689940251057154, "train_loss": 3.20724817225449, "test_loss": 0.8601170708284234, "test_acc1": 79.3740023449707, "test_acc5": 95.11600259429932, "epoch": 178, "n_parameters": 60989672} -{"train_lr": 0.0003619292605124837, "train_loss": 3.2009610117768212, "test_loss": 0.862368159334768, "test_acc1": 79.3440025402832, "test_acc5": 95.05200246490479, "epoch": 179, "n_parameters": 60989672} -{"train_lr": 0.0003569748078332423, "train_loss": 3.188329814292258, "test_loss": 0.8462273015668897, "test_acc1": 79.57600259094238, "test_acc5": 95.09600248260499, "epoch": 180, "n_parameters": 60989672} -{"train_lr": 0.00035203658778439235, "train_loss": 3.189298204071135, "test_loss": 0.857519167277849, "test_acc1": 79.61800234008788, "test_acc5": 95.19400239013672, "epoch": 181, "n_parameters": 60989672} -{"train_lr": 0.0003471151418974503, "train_loss": 3.188037741348612, "test_loss": 0.8670474095552256, "test_acc1": 79.5420025793457, "test_acc5": 95.17200265472412, "epoch": 182, "n_parameters": 60989672} -{"train_lr": 0.0003422110098644085, "train_loss": 3.183015533297849, "test_loss": 0.8672259536882242, "test_acc1": 79.62200249847412, "test_acc5": 95.23000242584229, "epoch": 183, "n_parameters": 60989672} -{"train_lr": 0.0003373247294785742, "train_loss": 3.1756558575861744, "test_loss": 0.8533809335168564, "test_acc1": 79.63200260040283, "test_acc5": 95.21400262023926, "epoch": 184, "n_parameters": 60989672} -{"train_lr": 0.0003324568365756944, "train_loss": 3.1615009976567316, "test_loss": 0.8527832725508646, "test_acc1": 79.87200239257812, "test_acc5": 95.22000248596191, "epoch": 185, "n_parameters": 60989672} -{"train_lr": 0.00032760786497508304, "train_loss": 3.157394159933646, "test_loss": 0.826199629654487, "test_acc1": 79.89800235290528, "test_acc5": 95.24200242462159, "epoch": 186, "n_parameters": 60989672} -{"train_lr": 0.00032277834642108216, "train_loss": 3.160398113868124, "test_loss": 0.8527725340064728, "test_acc1": 79.9680025704956, "test_acc5": 95.27200246917725, "epoch": 187, "n_parameters": 60989672} -{"train_lr": 0.00031796881052486697, "train_loss": 3.157765673623859, "test_loss": 0.8361651914363558, "test_acc1": 79.86000244537354, "test_acc5": 95.29800242645264, "epoch": 188, "n_parameters": 60989672} -{"train_lr": 0.0003131797847062025, "train_loss": 3.1595252103132787, "test_loss": 0.8293144050421137, "test_acc1": 80.00600269104004, "test_acc5": 95.38200256072999, "epoch": 189, "n_parameters": 60989672} -{"train_lr": 0.0003084117941357799, "train_loss": 3.154199943958903, "test_loss": 0.8463424913810961, "test_acc1": 79.9180025402832, "test_acc5": 95.33200256225587, "epoch": 190, "n_parameters": 60989672} -{"train_lr": 0.00030366536167747524, "train_loss": 3.1448295579897128, "test_loss": 0.8277449255639856, "test_acc1": 80.0540024395752, "test_acc5": 95.40200229064942, "epoch": 191, "n_parameters": 60989672} -{"train_lr": 0.00029894100783110664, "train_loss": 3.1414592013203744, "test_loss": 0.8544586567264615, "test_acc1": 79.92600243591309, "test_acc5": 95.3220024282837, "epoch": 192, "n_parameters": 60989672} -{"train_lr": 0.0002942392506752879, "train_loss": 3.135037285973319, "test_loss": 0.8172729786372546, "test_acc1": 80.27600277862548, "test_acc5": 95.31200273132325, "epoch": 193, "n_parameters": 60989672} -{"train_lr": 0.0002895606058107011, "train_loss": 3.1254288355628552, "test_loss": 0.8235499491971551, "test_acc1": 80.23400247833251, "test_acc5": 95.34200243133544, "epoch": 194, "n_parameters": 60989672} -{"train_lr": 0.0002849055863034561, "train_loss": 3.1266504076959416, "test_loss": 0.8539258794802608, "test_acc1": 80.03200255493164, "test_acc5": 95.42200267333985, "epoch": 195, "n_parameters": 60989672} -{"train_lr": 0.0002802747026289244, "train_loss": 3.1142958458021677, "test_loss": 0.8362111190729069, "test_acc1": 80.14000248901367, "test_acc5": 95.44000246917724, "epoch": 196, "n_parameters": 60989672} -{"train_lr": 0.00027566846261567343, "train_loss": 3.1146172116652764, "test_loss": 0.8175943561575629, "test_acc1": 80.31800256469727, "test_acc5": 95.52200247650147, "epoch": 197, "n_parameters": 60989672} -{"train_lr": 0.00027108737138981483, "train_loss": 3.105783900089687, "test_loss": 0.8240231078005198, "test_acc1": 80.25600265075684, "test_acc5": 95.5120027053833, "epoch": 198, "n_parameters": 60989672} -{"train_lr": 0.00026653193131964784, "train_loss": 3.1094185599058175, "test_loss": 0.8191347945142876, "test_acc1": 80.51200253845215, "test_acc5": 95.43000239196778, "epoch": 199, "n_parameters": 60989672} -{"train_lr": 0.00026200264196050673, "train_loss": 3.0998664930355635, "test_loss": 0.8229288774909396, "test_acc1": 80.25400250976563, "test_acc5": 95.54000255737304, "epoch": 200, "n_parameters": 60989672} -{"train_lr": 0.00025750000000000143, "train_loss": 3.0976571880703827, "test_loss": 0.8231218356752035, "test_acc1": 80.4600023803711, "test_acc5": 95.54000247955322, "epoch": 201, "n_parameters": 60989672} -{"train_lr": 0.0002530244992035622, "train_loss": 3.0925313511626613, "test_loss": 0.7960495610693188, "test_acc1": 80.78800263641358, "test_acc5": 95.63400269012452, "epoch": 202, "n_parameters": 60989672} -{"train_lr": 0.00024857663036030185, "train_loss": 3.0776823677605005, "test_loss": 0.7965755292186232, "test_acc1": 80.59800262207031, "test_acc5": 95.67000255187989, "epoch": 203, "n_parameters": 60989672} -{"train_lr": 0.00024415688122914167, "train_loss": 3.080034606248069, "test_loss": 0.8025679824252924, "test_acc1": 80.67400260559081, "test_acc5": 95.6240026071167, "epoch": 204, "n_parameters": 60989672} -{"train_lr": 0.00023976573648539732, "train_loss": 3.0817435567708706, "test_loss": 0.7966501435095613, "test_acc1": 80.65000265563965, "test_acc5": 95.6560026397705, "epoch": 205, "n_parameters": 60989672} -{"train_lr": 0.0002354036776675575, "train_loss": 3.067935748435229, "test_loss": 0.8078154283716823, "test_acc1": 80.63600247009278, "test_acc5": 95.64000253051758, "epoch": 206, "n_parameters": 60989672} -{"train_lr": 0.00023107118312454297, "train_loss": 3.074885642583326, "test_loss": 0.8011507227113752, "test_acc1": 80.7220025088501, "test_acc5": 95.59600257293701, "epoch": 207, "n_parameters": 60989672} -{"train_lr": 0.00022676872796319747, "train_loss": 3.058523755184085, "test_loss": 0.7914918829320055, "test_acc1": 80.90000254364014, "test_acc5": 95.76600280426025, "epoch": 208, "n_parameters": 60989672} -{"train_lr": 0.00022249678399621184, "train_loss": 3.0481931288227093, "test_loss": 0.7975558949013551, "test_acc1": 80.6720027142334, "test_acc5": 95.71200247283936, "epoch": 209, "n_parameters": 60989672} -{"train_lr": 0.00021825581969037202, "train_loss": 3.0532761859974795, "test_loss": 0.7904122566634958, "test_acc1": 81.06600256347656, "test_acc5": 95.76200243133545, "epoch": 210, "n_parameters": 60989672} -{"train_lr": 0.0002140463001152288, "train_loss": 3.0478396021085774, "test_loss": 0.797508954493837, "test_acc1": 80.902002522583, "test_acc5": 95.77600271881103, "epoch": 211, "n_parameters": 60989672} -{"train_lr": 0.00020986868689201908, "train_loss": 3.0496231541692684, "test_loss": 0.7990965874809207, "test_acc1": 80.90200243011475, "test_acc5": 95.67800255096435, "epoch": 212, "n_parameters": 60989672} -{"train_lr": 0.00020572343814312388, "train_loss": 3.0291483998536872, "test_loss": 0.7807106232327042, "test_acc1": 81.09800258728028, "test_acc5": 95.84000262115478, "epoch": 213, "n_parameters": 60989672} -{"train_lr": 0.00020161100844177222, "train_loss": 3.040420144963131, "test_loss": 0.7888586680320177, "test_acc1": 81.12000257751465, "test_acc5": 95.85200250396728, "epoch": 214, "n_parameters": 60989672} -{"train_lr": 0.0001975318487622333, "train_loss": 3.021569854981131, "test_loss": 0.8062558724178057, "test_acc1": 81.04400253677368, "test_acc5": 95.77800244506835, "epoch": 215, "n_parameters": 60989672} -{"train_lr": 0.0001934864064303279, "train_loss": 3.0136578113710186, "test_loss": 0.7853030180558562, "test_acc1": 81.1340023751831, "test_acc5": 95.81400258346558, "epoch": 216, "n_parameters": 60989672} -{"train_lr": 0.00018947512507439562, "train_loss": 3.014521290894321, "test_loss": 0.7863889350696947, "test_acc1": 81.1480026651001, "test_acc5": 95.79600249679565, "epoch": 217, "n_parameters": 60989672} -{"train_lr": 0.00018549844457663907, "train_loss": 3.0129733852130904, "test_loss": 0.7848535059302142, "test_acc1": 81.1680025048828, "test_acc5": 95.94400251571655, "epoch": 218, "n_parameters": 60989672} -{"train_lr": 0.00018155680102489234, "train_loss": 3.0169281082675994, "test_loss": 0.797943369457216, "test_acc1": 80.9540026109314, "test_acc5": 95.70600257080078, "epoch": 219, "n_parameters": 60989672} -{"train_lr": 0.00017765062666479713, "train_loss": 3.0020438271055787, "test_loss": 0.7918864753887509, "test_acc1": 81.28200259521485, "test_acc5": 95.86000243499755, "epoch": 220, "n_parameters": 60989672} -{"train_lr": 0.00017378034985236136, "train_loss": 3.000688908679737, "test_loss": 0.7767228687069181, "test_acc1": 81.31200262390136, "test_acc5": 95.89400238830567, "epoch": 221, "n_parameters": 60989672} -{"train_lr": 0.0001699463950070852, "train_loss": 2.985089023223074, "test_loss": 0.7780415887633959, "test_acc1": 81.22600267105102, "test_acc5": 95.95000250869751, "epoch": 222, "n_parameters": 60989672} -{"train_lr": 0.00016614918256530037, "train_loss": 2.9840145904144983, "test_loss": 0.7824137898895777, "test_acc1": 81.32600263305665, "test_acc5": 95.96600251312256, "epoch": 223, "n_parameters": 60989672} -{"train_lr": 0.0001623891289341519, "train_loss": 2.9806099404974713, "test_loss": 0.7895111775477276, "test_acc1": 81.32000244873046, "test_acc5": 95.87800246368408, "epoch": 224, "n_parameters": 60989672} -{"train_lr": 0.00015866664644587948, "train_loss": 2.971680708449903, "test_loss": 0.7677097910958709, "test_acc1": 81.34200251373291, "test_acc5": 96.01600253082276, "epoch": 225, "n_parameters": 60989672} -{"train_lr": 0.00015498214331266302, "train_loss": 2.966226367004436, "test_loss": 0.769079045082132, "test_acc1": 81.31000237197875, "test_acc5": 95.94200247665405, "epoch": 226, "n_parameters": 60989672} -{"train_lr": 0.00015133602358175863, "train_loss": 2.9661214463144754, "test_loss": 0.7759567953815515, "test_acc1": 81.52800264541627, "test_acc5": 95.89800240768433, "epoch": 227, "n_parameters": 60989672} -{"train_lr": 0.00014772868709131358, "train_loss": 2.95902891037204, "test_loss": 0.7716615050466675, "test_acc1": 81.57800238250732, "test_acc5": 96.02400250289917, "epoch": 228, "n_parameters": 60989672} -{"train_lr": 0.00014416052942639815, "train_loss": 2.9526530295062505, "test_loss": 0.7695197643937938, "test_acc1": 81.7520026046753, "test_acc5": 96.03000237121582, "epoch": 229, "n_parameters": 60989672} -{"train_lr": 0.0001406319418757283, "train_loss": 2.947346364577516, "test_loss": 0.7635369129535375, "test_acc1": 81.64200256484985, "test_acc5": 96.09400250198364, "epoch": 230, "n_parameters": 60989672} -{"train_lr": 0.00013714331138869076, "train_loss": 2.944302123948205, "test_loss": 0.768602576840556, "test_acc1": 81.67200244125367, "test_acc5": 96.04400263031006, "epoch": 231, "n_parameters": 60989672} -{"train_lr": 0.00013369502053292505, "train_loss": 2.944448565461224, "test_loss": 0.7706042149696838, "test_acc1": 81.45200251480102, "test_acc5": 96.00600274459839, "epoch": 232, "n_parameters": 60989672} -{"train_lr": 0.00013028744745238475, "train_loss": 2.9358485213381877, "test_loss": 0.7598914159179637, "test_acc1": 81.68800245193482, "test_acc5": 96.15200250686645, "epoch": 233, "n_parameters": 60989672} -{"train_lr": 0.0001269209658258495, "train_loss": 2.930198905029171, "test_loss": 0.7573695509609851, "test_acc1": 81.65400241714478, "test_acc5": 96.05600252792358, "epoch": 234, "n_parameters": 60989672} -{"train_lr": 0.0001235959448259827, "train_loss": 2.9246391034026225, "test_loss": 0.7580158751683704, "test_acc1": 81.89800245300293, "test_acc5": 96.12800254226684, "epoch": 235, "n_parameters": 60989672} -{"train_lr": 0.00012031274907879946, "train_loss": 2.91446389501496, "test_loss": 0.753396963982871, "test_acc1": 81.70000234909058, "test_acc5": 96.13000259048462, "epoch": 236, "n_parameters": 60989672} -{"train_lr": 0.00011707173862371172, "train_loss": 2.911939612568187, "test_loss": 0.7615871194919402, "test_acc1": 81.88600258453368, "test_acc5": 96.10200226211548, "epoch": 237, "n_parameters": 60989672} -{"train_lr": 0.00011387326887403272, "train_loss": 2.912197465924241, "test_loss": 0.7534522578741113, "test_acc1": 81.90000249710083, "test_acc5": 96.16200246032714, "epoch": 238, "n_parameters": 60989672} -{"train_lr": 0.00011071769057802179, "train_loss": 2.9012485226626685, "test_loss": 0.7521010125620347, "test_acc1": 81.80200251708985, "test_acc5": 96.13600245101928, "epoch": 239, "n_parameters": 60989672} -{"train_lr": 0.00010760534978039747, "train_loss": 2.898737027937417, "test_loss": 0.7593747663001219, "test_acc1": 81.98200251190185, "test_acc5": 96.19800234924317, "epoch": 240, "n_parameters": 60989672} -{"train_lr": 0.00010453658778440302, "train_loss": 2.895991990868327, "test_loss": 0.7543120872172894, "test_acc1": 81.9620025819397, "test_acc5": 96.25200254821777, "epoch": 241, "n_parameters": 60989672} -{"train_lr": 0.0001015117411143637, "train_loss": 2.8918901351477793, "test_loss": 0.7561362010398598, "test_acc1": 81.96400233459472, "test_acc5": 96.1440025189209, "epoch": 242, "n_parameters": 60989672} -{"train_lr": 9.853114147881454e-05, "train_loss": 2.884421932176768, "test_loss": 0.7515168473914717, "test_acc1": 82.00000258499145, "test_acc5": 96.14400255477905, "epoch": 243, "n_parameters": 60989672} -{"train_lr": 9.559511573409267e-05, "train_loss": 2.8827006440999794, "test_loss": 0.7552304215108355, "test_acc1": 81.96200243499756, "test_acc5": 96.2060024772644, "epoch": 244, "n_parameters": 60989672} -{"train_lr": 9.270398584849976e-05, "train_loss": 2.875490520616992, "test_loss": 0.7514583570318241, "test_acc1": 82.14600254364014, "test_acc5": 96.25200246597291, "epoch": 245, "n_parameters": 60989672} -{"train_lr": 8.985806886701763e-05, "train_loss": 2.876004361968151, "test_loss": 0.7501835783548427, "test_acc1": 82.14200252990723, "test_acc5": 96.2260025289917, "epoch": 246, "n_parameters": 60989672} -{"train_lr": 8.705767687650155e-05, "train_loss": 2.8648287909065218, "test_loss": 0.7466871459319284, "test_acc1": 82.16600250808716, "test_acc5": 96.26800261123657, "epoch": 247, "n_parameters": 60989672} -{"train_lr": 8.430311697149993e-05, "train_loss": 2.860557378041182, "test_loss": 0.7394305514453938, "test_acc1": 82.33200257247925, "test_acc5": 96.35200243545532, "epoch": 248, "n_parameters": 60989672} -{"train_lr": 8.159469122054745e-05, "train_loss": 2.861112220419778, "test_loss": 0.737277364047865, "test_acc1": 82.33400246353149, "test_acc5": 96.33000259918212, "epoch": 249, "n_parameters": 60989672} -{"train_lr": 7.893269663304691e-05, "train_loss": 2.855587064511151, "test_loss": 0.7332746306095611, "test_acc1": 82.39800255126953, "test_acc5": 96.37800240127564, "epoch": 250, "n_parameters": 60989672} -{"train_lr": 7.631742512670381e-05, "train_loss": 2.8487738149402904, "test_loss": 0.7468516938106129, "test_acc1": 82.21400252319336, "test_acc5": 96.27800258026123, "epoch": 251, "n_parameters": 60989672} -{"train_lr": 7.37491634955067e-05, "train_loss": 2.842108189434313, "test_loss": 0.7409420719821797, "test_acc1": 82.40000248718262, "test_acc5": 96.31600228149414, "epoch": 252, "n_parameters": 60989672} -{"train_lr": 7.122819337828824e-05, "train_loss": 2.844102611436213, "test_loss": 0.7339073122112136, "test_acc1": 82.33200249160767, "test_acc5": 96.35000248428345, "epoch": 253, "n_parameters": 60989672} -{"train_lr": 6.87547912278283e-05, "train_loss": 2.831806080905701, "test_loss": 0.7362704829623302, "test_acc1": 82.45400252883911, "test_acc5": 96.31200240936279, "epoch": 254, "n_parameters": 60989672} -{"train_lr": 6.632922828055003e-05, "train_loss": 2.82521669457642, "test_loss": 0.7366363392917045, "test_acc1": 82.38600254226685, "test_acc5": 96.36600240127564, "epoch": 255, "n_parameters": 60989672} -{"train_lr": 6.395177052675899e-05, "train_loss": 2.8263786521187124, "test_loss": 0.7357004072630045, "test_acc1": 82.44800255371094, "test_acc5": 96.34800233520508, "epoch": 256, "n_parameters": 60989672} -{"train_lr": 6.162267868149164e-05, "train_loss": 2.822477369714412, "test_loss": 0.7287987506186421, "test_acc1": 82.45400256759643, "test_acc5": 96.36600248306274, "epoch": 257, "n_parameters": 60989672} -{"train_lr": 5.934220815591336e-05, "train_loss": 2.8194728286253463, "test_loss": 0.7305432931999817, "test_acc1": 82.60200259521484, "test_acc5": 96.40600256072997, "epoch": 258, "n_parameters": 60989672} -{"train_lr": 5.711060902932033e-05, "train_loss": 2.808936485176464, "test_loss": 0.7273992960990379, "test_acc1": 82.46800242233276, "test_acc5": 96.38800247894287, "epoch": 259, "n_parameters": 60989672} -{"train_lr": 5.492812602170232e-05, "train_loss": 2.8120946964140323, "test_loss": 0.7326502415041128, "test_acc1": 82.46200250289917, "test_acc5": 96.39400234802245, "epoch": 260, "n_parameters": 60989672} -{"train_lr": 5.2794998466913834e-05, "train_loss": 2.8071591482042884, "test_loss": 0.735785028586785, "test_acc1": 82.57600262832642, "test_acc5": 96.43400256561279, "epoch": 261, "n_parameters": 60989672} -{"train_lr": 5.0711460286429e-05, "train_loss": 2.8028509941437454, "test_loss": 0.7313939872000254, "test_acc1": 82.55200231292724, "test_acc5": 96.38000240447998, "epoch": 262, "n_parameters": 60989672} -{"train_lr": 4.8677739963691566e-05, "train_loss": 2.802338106973137, "test_loss": 0.7332529905675487, "test_acc1": 82.53200253250122, "test_acc5": 96.41800252380371, "epoch": 263, "n_parameters": 60989672} -{"train_lr": 4.669406051905346e-05, "train_loss": 2.793174613972934, "test_loss": 0.7317054152037158, "test_acc1": 82.63000248840332, "test_acc5": 96.43200243148804, "epoch": 264, "n_parameters": 60989672} -{"train_lr": 4.476063948531632e-05, "train_loss": 2.79167467418263, "test_loss": 0.7349387953678767, "test_acc1": 82.63000238632202, "test_acc5": 96.42400241317749, "epoch": 265, "n_parameters": 60989672} -{"train_lr": 4.287768888388454e-05, "train_loss": 2.7870801984727813, "test_loss": 0.7285304779017513, "test_acc1": 82.63600244705201, "test_acc5": 96.46800244522095, "epoch": 266, "n_parameters": 60989672} -{"train_lr": 4.1045415201513915e-05, "train_loss": 2.7855432265036875, "test_loss": 0.7345184508823988, "test_acc1": 82.64600245681763, "test_acc5": 96.42000234268188, "epoch": 267, "n_parameters": 60989672} -{"train_lr": 3.926401936765786e-05, "train_loss": 2.7782844518073837, "test_loss": 0.7280753285087871, "test_acc1": 82.69600253265381, "test_acc5": 96.4580024987793, "epoch": 268, "n_parameters": 60989672} -{"train_lr": 3.753369673244709e-05, "train_loss": 2.7745967375800955, "test_loss": 0.7299080517594562, "test_acc1": 82.67600252288818, "test_acc5": 96.44000256454468, "epoch": 269, "n_parameters": 60989672} -{"train_lr": 3.585463704525412e-05, "train_loss": 2.7771893618025367, "test_loss": 0.7240041087691983, "test_acc1": 82.78400252456665, "test_acc5": 96.47000245452881, "epoch": 270, "n_parameters": 60989672} -{"train_lr": 3.4227024433899046e-05, "train_loss": 2.7763490279872927, "test_loss": 0.7259003588308891, "test_acc1": 82.78400259750366, "test_acc5": 96.45200241912842, "epoch": 271, "n_parameters": 60989672} -{"train_lr": 3.2651037384443736e-05, "train_loss": 2.7612410374849343, "test_loss": 0.723527725136867, "test_acc1": 82.73400232925415, "test_acc5": 96.49400247009277, "epoch": 272, "n_parameters": 60989672} -{"train_lr": 3.112684872162703e-05, "train_loss": 2.76947304417642, "test_loss": 0.7197484779877193, "test_acc1": 82.72800257995605, "test_acc5": 96.50200255264282, "epoch": 273, "n_parameters": 60989672} -{"train_lr": 2.9654625589913e-05, "train_loss": 2.7642757675642495, "test_loss": 0.7231026601723649, "test_acc1": 82.80200254455566, "test_acc5": 96.49200250427246, "epoch": 274, "n_parameters": 60989672} -{"train_lr": 2.8234529435159726e-05, "train_loss": 2.754330988202116, "test_loss": 0.7202907385530345, "test_acc1": 82.9100023487854, "test_acc5": 96.50600254333496, "epoch": 275, "n_parameters": 60989672} -{"train_lr": 2.6866715986911513e-05, "train_loss": 2.754533396135989, "test_loss": 0.7266346695691799, "test_acc1": 82.79600241500854, "test_acc5": 96.49800250427246, "epoch": 276, "n_parameters": 60989672} -{"train_lr": 2.55513352413271e-05, "train_loss": 2.75354792188993, "test_loss": 0.7174591593952342, "test_acc1": 82.89800260314941, "test_acc5": 96.57000270935059, "epoch": 277, "n_parameters": 60989672} -{"train_lr": 2.4288531444729954e-05, "train_loss": 2.7509728111773373, "test_loss": 0.7218343616660797, "test_acc1": 82.77800257400513, "test_acc5": 96.5440025743103, "epoch": 278, "n_parameters": 60989672} -{"train_lr": 2.3078443077785567e-05, "train_loss": 2.7495667362491862, "test_loss": 0.7221898837297251, "test_acc1": 82.92000244827271, "test_acc5": 96.59000256561279, "epoch": 279, "n_parameters": 60989672} -{"train_lr": 2.192120284031953e-05, "train_loss": 2.7518964347948462, "test_loss": 0.7186721025994329, "test_acc1": 82.87800267440795, "test_acc5": 96.61200267959595, "epoch": 280, "n_parameters": 60989672} -{"train_lr": 2.0816937636766537e-05, "train_loss": 2.74321802553656, "test_loss": 0.7249036994621609, "test_acc1": 82.83800240631103, "test_acc5": 96.54200257217407, "epoch": 281, "n_parameters": 60989672} -{"train_lr": 1.976576856224742e-05, "train_loss": 2.7440519443363978, "test_loss": 0.716529915871268, "test_acc1": 82.85600242752075, "test_acc5": 96.56800255218506, "epoch": 282, "n_parameters": 60989672} -{"train_lr": 1.8767810889299472e-05, "train_loss": 2.73997873307275, "test_loss": 0.7235938252203844, "test_acc1": 82.87400245834351, "test_acc5": 96.53200245819092, "epoch": 283, "n_parameters": 60989672} -{"train_lr": 1.7823174055225238e-05, "train_loss": 2.7429344703039105, "test_loss": 0.7207401247243538, "test_acc1": 82.90200261047363, "test_acc5": 96.56200240661622, "epoch": 284, "n_parameters": 60989672} -{"train_lr": 1.6931961650100128e-05, "train_loss": 2.736611637470724, "test_loss": 0.7194522558005921, "test_acc1": 82.9020025946045, "test_acc5": 96.57400245819092, "epoch": 285, "n_parameters": 60989672} -{"train_lr": 1.609427140540658e-05, "train_loss": 2.7350703087701596, "test_loss": 0.7175536172351602, "test_acc1": 82.96200249771118, "test_acc5": 96.56600246261597, "epoch": 286, "n_parameters": 60989672} -{"train_lr": 1.5310195183320784e-05, "train_loss": 2.735001970204613, "test_loss": 0.7208127029465906, "test_acc1": 82.92000259338378, "test_acc5": 96.56800249450684, "epoch": 287, "n_parameters": 60989672} -{"train_lr": 1.4579818966635116e-05, "train_loss": 2.726689771329947, "test_loss": 0.7187220926368327, "test_acc1": 82.93400244277954, "test_acc5": 96.65400241592407, "epoch": 288, "n_parameters": 60989672} -{"train_lr": 1.3903222849333426e-05, "train_loss": 2.724754238842155, "test_loss": 0.7186061271720312, "test_acc1": 82.93800243347168, "test_acc5": 96.58800253311158, "epoch": 289, "n_parameters": 60989672} -{"train_lr": 1.3280481027803718e-05, "train_loss": 2.7312584849987194, "test_loss": 0.719537141055546, "test_acc1": 82.99800228637696, "test_acc5": 96.58800251846313, "epoch": 290, "n_parameters": 60989672} -{"train_lr": 1.2711661792704427e-05, "train_loss": 2.7221123365034683, "test_loss": 0.7192311577047362, "test_acc1": 82.9980025505066, "test_acc5": 96.63200252166747, "epoch": 291, "n_parameters": 60989672} -{"train_lr": 1.2196827521475628e-05, "train_loss": 2.726522390785025, "test_loss": 0.715949189002541, "test_acc1": 83.05800258743287, "test_acc5": 96.61000232528687, "epoch": 292, "n_parameters": 60989672} -{"train_lr": 1.1736034671495227e-05, "train_loss": 2.7193205526633135, "test_loss": 0.7163898345986099, "test_acc1": 82.98200254608155, "test_acc5": 96.61600240615844, "epoch": 293, "n_parameters": 60989672} -{"train_lr": 1.1329333773893123e-05, "train_loss": 2.7235323430882463, "test_loss": 0.7201836378116048, "test_acc1": 82.95800219314575, "test_acc5": 96.5760023789978, "epoch": 294, "n_parameters": 60989672} -{"train_lr": 1.0976769428005425e-05, "train_loss": 2.7189497472904476, "test_loss": 0.7161372190510685, "test_acc1": 83.04200247833252, "test_acc5": 96.5980023626709, "epoch": 295, "n_parameters": 60989672} -{"train_lr": 1.067838029648576e-05, "train_loss": 2.7153707169812265, "test_loss": 0.7194793678989465, "test_acc1": 82.95600249191284, "test_acc5": 96.58800238708496, "epoch": 296, "n_parameters": 60989672} -{"train_lr": 1.0434199101065238e-05, "train_loss": 2.7187460577078193, "test_loss": 0.7201164959167893, "test_acc1": 82.9640025086975, "test_acc5": 96.60000253356934, "epoch": 297, "n_parameters": 60989672} -{"train_lr": 1.0244252618963046e-05, "train_loss": 2.7176345726676123, "test_loss": 0.7224782953095256, "test_acc1": 83.03800238632202, "test_acc5": 96.60400254501343, "epoch": 298, "n_parameters": 60989672} -{"train_lr": 1.0108561679951307e-05, "train_loss": 2.7168386435444405, "test_loss": 0.715151580248141, "test_acc1": 83.02200254257203, "test_acc5": 96.58600239852905, "epoch": 299, "n_parameters": 60989672} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt deleted file mode 100644 index 9d79f03f9..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/pcpvt_s.txt +++ /dev/null @@ -1,300 +0,0 @@ -{"train_lr": 1.000000000000015e-06, "train_loss": 6.913535571038723, "test_loss": 6.8714314655021385, "test_acc1": 0.2160000117301941, "test_acc5": 1.2940000837326049, "epoch": 0, "n_parameters": 24106216} -{"train_lr": 1.000000000000015e-06, "train_loss": 6.896081995010376, "test_loss": 6.839652865021317, "test_acc1": 0.40800002346038816, "test_acc5": 1.7700001041412354, "epoch": 1, "n_parameters": 24106216} -{"train_lr": 0.0002507999999999969, "train_loss": 6.628805226147175, "test_loss": 5.555466687237775, "test_acc1": 6.462000321006775, "test_acc5": 18.384000979614257, "epoch": 2, "n_parameters": 24106216} -{"train_lr": 0.0005006000000000066, "train_loss": 6.272622795701027, "test_loss": 4.64223074471509, "test_acc1": 15.328000774383545, "test_acc5": 34.724001724243166, "epoch": 3, "n_parameters": 24106216} -{"train_lr": 0.0007504000000000098, "train_loss": 5.958464104115963, "test_loss": 3.9152780064830073, "test_acc1": 24.868001231384277, "test_acc5": 48.68200244750977, "epoch": 4, "n_parameters": 24106216} -{"train_lr": 0.0010002000000000064, "train_loss": 5.670980889737606, "test_loss": 3.3432016747969167, "test_acc1": 33.47600182495117, "test_acc5": 59.10200291748047, "epoch": 5, "n_parameters": 24106216} -{"train_lr": 0.0012491503115478462, "train_loss": 5.421633140593767, "test_loss": 2.9919017029029353, "test_acc1": 39.19200199279785, "test_acc5": 65.3920035522461, "epoch": 6, "n_parameters": 24106216} -{"train_lr": 0.0012487765716255204, "train_loss": 5.202176849722862, "test_loss": 2.6157535275927297, "test_acc1": 45.32800238342285, "test_acc5": 71.13600388793945, "epoch": 7, "n_parameters": 24106216} -{"train_lr": 0.0012483349758791718, "train_loss": 5.036143932789564, "test_loss": 2.479441418140023, "test_acc1": 49.06200260620117, "test_acc5": 74.5840037536621, "epoch": 8, "n_parameters": 24106216} -{"train_lr": 0.001247825572734689, "train_loss": 4.892401652991771, "test_loss": 2.2892523849451982, "test_acc1": 51.70800283813477, "test_acc5": 76.6540040649414, "epoch": 9, "n_parameters": 24106216} -{"train_lr": 0.0012472484180539036, "train_loss": 4.797423577070236, "test_loss": 2.1864398464008614, "test_acc1": 53.62800247802734, "test_acc5": 78.56600432128906, "epoch": 10, "n_parameters": 24106216} -{"train_lr": 0.001246603575128331, "train_loss": 4.717771196216344, "test_loss": 2.052709130777253, "test_acc1": 56.10400266113281, "test_acc5": 80.17800435791015, "epoch": 11, "n_parameters": 24106216} -{"train_lr": 0.001245891114672232, "train_loss": 4.6287200723290445, "test_loss": 1.972386814377926, "test_acc1": 57.47600287475586, "test_acc5": 81.51200498046875, "epoch": 12, "n_parameters": 24106216} -{"train_lr": 0.0012451111148149827, "train_loss": 4.564317229270935, "test_loss": 1.9672881309632901, "test_acc1": 58.67200286865234, "test_acc5": 82.18800517578126, "epoch": 13, "n_parameters": 24106216} -{"train_lr": 0.0012442636610923105, "train_loss": 4.5011985965371135, "test_loss": 1.9190684584555802, "test_acc1": 59.9820027709961, "test_acc5": 83.45800522460938, "epoch": 14, "n_parameters": 24106216} -{"train_lr": 0.0012433488464370416, "train_loss": 4.462880715608597, "test_loss": 1.8349897083308961, "test_acc1": 60.98800298461914, "test_acc5": 84.2020052368164, "epoch": 15, "n_parameters": 24106216} -{"train_lr": 0.0012423667711689737, "train_loss": 4.4079978993535045, "test_loss": 1.7524507793563384, "test_acc1": 62.11800297241211, "test_acc5": 84.89200516357423, "epoch": 16, "n_parameters": 24106216} -{"train_lr": 0.0012413175429837283, "train_loss": 4.341294016778469, "test_loss": 1.7631257019109197, "test_acc1": 62.51600301513672, "test_acc5": 85.14600496826172, "epoch": 17, "n_parameters": 24106216} -{"train_lr": 0.001240201276940937, "train_loss": 4.325479748308658, "test_loss": 1.6924114114156477, "test_acc1": 63.38400289916992, "test_acc5": 85.64800491943359, "epoch": 18, "n_parameters": 24106216} -{"train_lr": 0.0012390180954517935, "train_loss": 4.288229148060084, "test_loss": 1.6704907149628356, "test_acc1": 64.22000327758789, "test_acc5": 86.0940050415039, "epoch": 19, "n_parameters": 24106216} -{"train_lr": 0.0012377681282654562, "train_loss": 4.2547790238261225, "test_loss": 1.6916942762004004, "test_acc1": 64.00200321655274, "test_acc5": 86.27000490722656, "epoch": 20, "n_parameters": 24106216} -{"train_lr": 0.0012364515124549766, "train_loss": 4.2300773498117925, "test_loss": 1.615900165228932, "test_acc1": 64.78600329589844, "test_acc5": 86.82800505371094, "epoch": 21, "n_parameters": 24106216} -{"train_lr": 0.0012350683924020431, "train_loss": 4.1997653625905516, "test_loss": 1.567627434377317, "test_acc1": 65.39800343017578, "test_acc5": 87.17600489501953, "epoch": 22, "n_parameters": 24106216} -{"train_lr": 0.0012336189197813753, "train_loss": 4.182271348774433, "test_loss": 1.5708532957015213, "test_acc1": 65.74000326538086, "test_acc5": 87.41000498046876, "epoch": 23, "n_parameters": 24106216} -{"train_lr": 0.0012321032535439747, "train_loss": 4.1501182015836235, "test_loss": 1.5285524149183873, "test_acc1": 66.36800338745117, "test_acc5": 87.6660050048828, "epoch": 24, "n_parameters": 24106216} -{"train_lr": 0.001230521559899772, "train_loss": 4.129254027009011, "test_loss": 1.5328217852446768, "test_acc1": 66.45400336914062, "test_acc5": 87.78000501708985, "epoch": 25, "n_parameters": 24106216} -{"train_lr": 0.0012288740122992125, "train_loss": 4.101872677892446, "test_loss": 1.5247428353737902, "test_acc1": 66.80600341796875, "test_acc5": 88.0480049194336, "epoch": 26, "n_parameters": 24106216} -{"train_lr": 0.0012271607914145172, "train_loss": 4.089263994783163, "test_loss": 1.4804014897456876, "test_acc1": 67.44000345458984, "test_acc5": 88.27200539550782, "epoch": 27, "n_parameters": 24106216} -{"train_lr": 0.001225382085119711, "train_loss": 4.069247832328081, "test_loss": 1.4873344453948516, "test_acc1": 67.61000348510743, "test_acc5": 88.51200490722657, "epoch": 28, "n_parameters": 24106216} -{"train_lr": 0.0012235380884698913, "train_loss": 4.055034660369158, "test_loss": 1.5163754688368902, "test_acc1": 67.8880033996582, "test_acc5": 88.63600532226563, "epoch": 29, "n_parameters": 24106216} -{"train_lr": 0.0012216290036800956, "train_loss": 4.044097130507231, "test_loss": 1.4739522440014061, "test_acc1": 68.04200346069337, "test_acc5": 88.69000485839844, "epoch": 30, "n_parameters": 24106216} -{"train_lr": 0.0012196550401029926, "train_loss": 4.027264056622982, "test_loss": 1.442910118787377, "test_acc1": 68.14800352172851, "test_acc5": 88.97000504150391, "epoch": 31, "n_parameters": 24106216} -{"train_lr": 0.001217616414205929, "train_loss": 4.009433139562606, "test_loss": 1.433712009202551, "test_acc1": 68.38000353393555, "test_acc5": 88.98000516357422, "epoch": 32, "n_parameters": 24106216} -{"train_lr": 0.00121551334954726, "train_loss": 3.9934953228235246, "test_loss": 1.4155721013192777, "test_acc1": 68.75600358886719, "test_acc5": 88.98600523681641, "epoch": 33, "n_parameters": 24106216} -{"train_lr": 0.0012133460767516106, "train_loss": 3.978181264072657, "test_loss": 1.4521592331153375, "test_acc1": 68.63800339355468, "test_acc5": 89.09400493164063, "epoch": 34, "n_parameters": 24106216} -{"train_lr": 0.001211114833484995, "train_loss": 3.968492669135332, "test_loss": 1.4471144339552633, "test_acc1": 68.88400361938477, "test_acc5": 89.24200524902344, "epoch": 35, "n_parameters": 24106216} -{"train_lr": 0.0012088198644282448, "train_loss": 3.9578844200074674, "test_loss": 1.418613934682475, "test_acc1": 69.2720033569336, "test_acc5": 89.52000521240234, "epoch": 36, "n_parameters": 24106216} -{"train_lr": 0.0012064614212507173, "train_loss": 3.9395175757110117, "test_loss": 1.419805669674167, "test_acc1": 69.07400339965821, "test_acc5": 89.52200493164062, "epoch": 37, "n_parameters": 24106216} -{"train_lr": 0.0012040397625821895, "train_loss": 3.9304638355374335, "test_loss": 1.335953338002717, "test_acc1": 69.54800377197266, "test_acc5": 89.87800502929687, "epoch": 38, "n_parameters": 24106216} -{"train_lr": 0.001201555153984865, "train_loss": 3.936227840512991, "test_loss": 1.3909132949731968, "test_acc1": 69.46200340576172, "test_acc5": 89.69400505371094, "epoch": 39, "n_parameters": 24106216} -{"train_lr": 0.0011990078679240577, "train_loss": 3.9146454859077933, "test_loss": 1.353790856897831, "test_acc1": 69.68800349731445, "test_acc5": 89.80400534667969, "epoch": 40, "n_parameters": 24106216} -{"train_lr": 0.0011963981837384023, "train_loss": 3.89916970077157, "test_loss": 1.402679662461634, "test_acc1": 70.11400338745118, "test_acc5": 90.00200522460938, "epoch": 41, "n_parameters": 24106216} -{"train_lr": 0.0011937263876091746, "train_loss": 3.8923895446658134, "test_loss": 1.3533130878651585, "test_acc1": 70.12200366821288, "test_acc5": 90.07800490722656, "epoch": 42, "n_parameters": 24106216} -{"train_lr": 0.001190992772528946, "train_loss": 3.899417747139931, "test_loss": 1.3483430859115388, "test_acc1": 69.81200363769531, "test_acc5": 90.05800513916016, "epoch": 43, "n_parameters": 24106216} -{"train_lr": 0.0011881976382693608, "train_loss": 3.881334396392107, "test_loss": 1.3689778709301241, "test_acc1": 70.32600362548828, "test_acc5": 90.21200522460937, "epoch": 44, "n_parameters": 24106216} -{"train_lr": 0.0011853412913484327, "train_loss": 3.871225077301264, "test_loss": 1.3110075857904222, "test_acc1": 70.57600339355469, "test_acc5": 90.29600506591797, "epoch": 45, "n_parameters": 24106216} -{"train_lr": 0.0011824240449967807, "train_loss": 3.866314654439688, "test_loss": 1.3440607788938064, "test_acc1": 70.28200370483398, "test_acc5": 90.13600501708984, "epoch": 46, "n_parameters": 24106216} -{"train_lr": 0.0011794462191233419, "train_loss": 3.8652158354520796, "test_loss": 1.3445229530334473, "test_acc1": 70.63000358886718, "test_acc5": 90.34400496826171, "epoch": 47, "n_parameters": 24106216} -{"train_lr": 0.0011764081402803035, "train_loss": 3.846652329295874, "test_loss": 1.3092612853204761, "test_acc1": 70.33800374145508, "test_acc5": 90.35800535888671, "epoch": 48, "n_parameters": 24106216} -{"train_lr": 0.0011733101416272085, "train_loss": 3.8440380311608315, "test_loss": 1.2882703429570905, "test_acc1": 70.9160036682129, "test_acc5": 90.50600496826172, "epoch": 49, "n_parameters": 24106216} -{"train_lr": 0.0011701525628945223, "train_loss": 3.832699894487858, "test_loss": 1.3234985236216474, "test_acc1": 71.09000373535156, "test_acc5": 90.6240052368164, "epoch": 50, "n_parameters": 24106216} -{"train_lr": 0.0011669357503463387, "train_loss": 3.8384778308570384, "test_loss": 1.2898890500267346, "test_acc1": 71.25600347290039, "test_acc5": 90.69000494384765, "epoch": 51, "n_parameters": 24106216} -{"train_lr": 0.0011636600567424221, "train_loss": 3.8198962167203425, "test_loss": 1.2628338919193656, "test_acc1": 71.28800380249024, "test_acc5": 90.73600523681641, "epoch": 52, "n_parameters": 24106216} -{"train_lr": 0.0011603258412995292, "train_loss": 3.816648721575737, "test_loss": 1.2914936335550413, "test_acc1": 70.96200385742188, "test_acc5": 90.71800476074219, "epoch": 53, "n_parameters": 24106216} -{"train_lr": 0.0011569334696518608, "train_loss": 3.8101497773230077, "test_loss": 1.3129748867617712, "test_acc1": 70.87000354614258, "test_acc5": 90.80000501708984, "epoch": 54, "n_parameters": 24106216} -{"train_lr": 0.001153483313811246, "train_loss": 3.804685500383377, "test_loss": 1.331915967994266, "test_acc1": 71.24600341796875, "test_acc5": 90.6800051147461, "epoch": 55, "n_parameters": 24106216} -{"train_lr": 0.0011499757521261495, "train_loss": 3.80315726390481, "test_loss": 1.302911410453143, "test_acc1": 71.23400352783203, "test_acc5": 90.80400524902343, "epoch": 56, "n_parameters": 24106216} -{"train_lr": 0.0011464111692402826, "train_loss": 3.7843301731348036, "test_loss": 1.2863715569730159, "test_acc1": 71.50400367431641, "test_acc5": 90.76400463867188, "epoch": 57, "n_parameters": 24106216} -{"train_lr": 0.0011427899560502318, "train_loss": 3.7939142463505267, "test_loss": 1.259428408410814, "test_acc1": 71.63600356445312, "test_acc5": 91.0560052368164, "epoch": 58, "n_parameters": 24106216} -{"train_lr": 0.001139112509662915, "train_loss": 3.781319835871458, "test_loss": 1.2894151867539794, "test_acc1": 71.79600379028321, "test_acc5": 90.92000506591796, "epoch": 59, "n_parameters": 24106216} -{"train_lr": 0.001135379233351714, "train_loss": 3.7782966318428515, "test_loss": 1.2596035089205813, "test_acc1": 71.92200338745117, "test_acc5": 91.09000498046875, "epoch": 60, "n_parameters": 24106216} -{"train_lr": 0.0011315905365124744, "train_loss": 3.764239074587822, "test_loss": 1.3167385434110959, "test_acc1": 71.81200366210938, "test_acc5": 91.15000513916016, "epoch": 61, "n_parameters": 24106216} -{"train_lr": 0.0011277468346184757, "train_loss": 3.7674343165755273, "test_loss": 1.2519923746585846, "test_acc1": 72.05000376586914, "test_acc5": 91.15800516357422, "epoch": 62, "n_parameters": 24106216} -{"train_lr": 0.0011238485491750045, "train_loss": 3.767346649855375, "test_loss": 1.2457754766499554, "test_acc1": 71.91400360717773, "test_acc5": 91.06400490722656, "epoch": 63, "n_parameters": 24106216} -{"train_lr": 0.0011198961076729222, "train_loss": 3.745609312981367, "test_loss": 1.25878677158444, "test_acc1": 72.00000376586914, "test_acc5": 91.19600473632812, "epoch": 64, "n_parameters": 24106216} -{"train_lr": 0.0011158899435420276, "train_loss": 3.7448943667411805, "test_loss": 1.2615261513877798, "test_acc1": 72.05600396118164, "test_acc5": 91.12000502929688, "epoch": 65, "n_parameters": 24106216} -{"train_lr": 0.0011118304961033106, "train_loss": 3.7367047196030616, "test_loss": 1.2510159766232525, "test_acc1": 72.0700037536621, "test_acc5": 91.30800500488282, "epoch": 66, "n_parameters": 24106216} -{"train_lr": 0.001107718210521005, "train_loss": 3.7374611803889275, "test_loss": 1.2755651487796396, "test_acc1": 72.02600372314453, "test_acc5": 91.16400516357422, "epoch": 67, "n_parameters": 24106216} -{"train_lr": 0.0011035535377534862, "train_loss": 3.732513407111168, "test_loss": 1.2282857950086947, "test_acc1": 72.2100039855957, "test_acc5": 91.23800499267578, "epoch": 68, "n_parameters": 24106216} -{"train_lr": 0.0010993369345040612, "train_loss": 3.7407071685791013, "test_loss": 1.2327191506822903, "test_acc1": 72.32600364990235, "test_acc5": 91.28600490722657, "epoch": 69, "n_parameters": 24106216} -{"train_lr": 0.001095068863170886, "train_loss": 3.7339571587741376, "test_loss": 1.2137998088642403, "test_acc1": 72.23600381469727, "test_acc5": 91.43200506591796, "epoch": 70, "n_parameters": 24106216} -{"train_lr": 0.0010907497917959992, "train_loss": 3.7168577462732793, "test_loss": 1.2209583813393559, "test_acc1": 72.6880038635254, "test_acc5": 91.3400049194336, "epoch": 71, "n_parameters": 24106216} -{"train_lr": 0.0010863801940142156, "train_loss": 3.7131262421309947, "test_loss": 1.2379512444690421, "test_acc1": 72.22200397338867, "test_acc5": 91.3080049194336, "epoch": 72, "n_parameters": 24106216} -{"train_lr": 0.0010819605490012601, "train_loss": 3.722710657984018, "test_loss": 1.213015566545504, "test_acc1": 72.30200379028321, "test_acc5": 91.46200511474609, "epoch": 73, "n_parameters": 24106216} -{"train_lr": 0.0010774913414209803, "train_loss": 3.713953275769949, "test_loss": 1.2187072913403865, "test_acc1": 72.76000375976562, "test_acc5": 91.572005078125, "epoch": 74, "n_parameters": 24106216} -{"train_lr": 0.0010729730613723302, "train_loss": 3.698103734344244, "test_loss": 1.1751269849914092, "test_acc1": 72.68200396728515, "test_acc5": 91.55000498046876, "epoch": 75, "n_parameters": 24106216} -{"train_lr": 0.001068406204335668, "train_loss": 3.705344970881939, "test_loss": 1.2312297677552257, "test_acc1": 72.44400385742188, "test_acc5": 91.43400512695312, "epoch": 76, "n_parameters": 24106216} -{"train_lr": 0.0010637912711182996, "train_loss": 3.6904712341427803, "test_loss": 1.1894988729446023, "test_acc1": 72.89600391845703, "test_acc5": 91.63600533447266, "epoch": 77, "n_parameters": 24106216} -{"train_lr": 0.0010591287677996705, "train_loss": 3.6947621109485627, "test_loss": 1.193413195234758, "test_acc1": 72.7300039428711, "test_acc5": 91.59000495605468, "epoch": 78, "n_parameters": 24106216} -{"train_lr": 0.0010544192056758123, "train_loss": 3.688751669436693, "test_loss": 1.1712894323799345, "test_acc1": 72.96000378417969, "test_acc5": 91.64800533447266, "epoch": 79, "n_parameters": 24106216} -{"train_lr": 0.0010496631012032519, "train_loss": 3.687024825245142, "test_loss": 1.202691619042997, "test_acc1": 72.90000385742188, "test_acc5": 91.76200534667969, "epoch": 80, "n_parameters": 24106216} -{"train_lr": 0.0010448609759424843, "train_loss": 3.681983016014099, "test_loss": 1.21124464245858, "test_acc1": 73.13600405273438, "test_acc5": 91.71600516357422, "epoch": 81, "n_parameters": 24106216} -{"train_lr": 0.001040013356500644, "train_loss": 3.679661948621273, "test_loss": 1.1856246481615085, "test_acc1": 73.31800379638672, "test_acc5": 91.78400521240235, "epoch": 82, "n_parameters": 24106216} -{"train_lr": 0.0010351207744738729, "train_loss": 3.67014494240284, "test_loss": 1.202785513467259, "test_acc1": 72.97200372924804, "test_acc5": 91.76600515136718, "epoch": 83, "n_parameters": 24106216} -{"train_lr": 0.0010301837663888576, "train_loss": 3.6764670819044114, "test_loss": 1.2193372401374358, "test_acc1": 72.95600402832031, "test_acc5": 91.70800518798828, "epoch": 84, "n_parameters": 24106216} -{"train_lr": 0.0010252028736441668, "train_loss": 3.667841073989868, "test_loss": 1.1951534256890968, "test_acc1": 73.01600370483398, "test_acc5": 91.81400479736328, "epoch": 85, "n_parameters": 24106216} -{"train_lr": 0.001020178642450879, "train_loss": 3.6741970789134504, "test_loss": 1.23420651698554, "test_acc1": 72.79400397949219, "test_acc5": 91.81000506591796, "epoch": 86, "n_parameters": 24106216} -{"train_lr": 0.0010151116237725486, "train_loss": 3.6638055356144905, "test_loss": 1.1519898758442313, "test_acc1": 73.32000408325196, "test_acc5": 91.90400502929687, "epoch": 87, "n_parameters": 24106216} -{"train_lr": 0.0010100023732648664, "train_loss": 3.649902922183275, "test_loss": 1.1942386304338772, "test_acc1": 73.31000391235352, "test_acc5": 91.99000485839844, "epoch": 88, "n_parameters": 24106216} -{"train_lr": 0.001004851451214657, "train_loss": 3.649155333429575, "test_loss": 1.1719312684403524, "test_acc1": 73.56600378417968, "test_acc5": 91.93600534667969, "epoch": 89, "n_parameters": 24106216} -{"train_lr": 0.0009996594224786983, "train_loss": 3.647150416344404, "test_loss": 1.1355179929071002, "test_acc1": 73.8260039855957, "test_acc5": 92.19600490722657, "epoch": 90, "n_parameters": 24106216} -{"train_lr": 0.0009944268564213486, "train_loss": 3.641627418488264, "test_loss": 1.1810780989902991, "test_acc1": 73.4200038696289, "test_acc5": 91.90800499267579, "epoch": 91, "n_parameters": 24106216} -{"train_lr": 0.0009891543268524476, "train_loss": 3.6378097373843192, "test_loss": 1.1690849385879658, "test_acc1": 73.43400393676758, "test_acc5": 91.94400506591796, "epoch": 92, "n_parameters": 24106216} -{"train_lr": 0.0009838424119643586, "train_loss": 3.63335538443923, "test_loss": 1.1818443379468389, "test_acc1": 73.6900037841797, "test_acc5": 92.04400499267578, "epoch": 93, "n_parameters": 24106216} -{"train_lr": 0.0009784916942683298, "train_loss": 3.6302231951355934, "test_loss": 1.192808273765776, "test_acc1": 73.61800401611328, "test_acc5": 92.11800500488282, "epoch": 94, "n_parameters": 24106216} -{"train_lr": 0.0009731027605308655, "train_loss": 3.6262719874978067, "test_loss": 1.180455740403246, "test_acc1": 73.83400396728516, "test_acc5": 92.22600506591797, "epoch": 95, "n_parameters": 24106216} -{"train_lr": 0.0009676762017093371, "train_loss": 3.632746909797192, "test_loss": 1.1522057550372902, "test_acc1": 73.80600391845704, "test_acc5": 92.29400521240234, "epoch": 96, "n_parameters": 24106216} -{"train_lr": 0.0009622126128869811, "train_loss": 3.6193666542768477, "test_loss": 1.1439778672324286, "test_acc1": 73.61600393676758, "test_acc5": 92.04400509033204, "epoch": 97, "n_parameters": 24106216} -{"train_lr": 0.0009567125932079516, "train_loss": 3.6094250963032244, "test_loss": 1.164342234256091, "test_acc1": 73.60200390014649, "test_acc5": 92.06000506591796, "epoch": 98, "n_parameters": 24106216} -{"train_lr": 0.0009511767458113497, "train_loss": 3.6210976864099504, "test_loss": 1.195374470618036, "test_acc1": 73.78000409545898, "test_acc5": 92.040005078125, "epoch": 99, "n_parameters": 24106216} -{"train_lr": 0.0009456056777652429, "train_loss": 3.5932622019648552, "test_loss": 1.1821013225449457, "test_acc1": 73.77200393066406, "test_acc5": 92.11000501708985, "epoch": 100, "n_parameters": 24106216} -{"train_lr": 0.0009400000000000227, "train_loss": 3.6030940065234898, "test_loss": 1.155319255259302, "test_acc1": 73.76800391845703, "test_acc5": 92.3240049560547, "epoch": 101, "n_parameters": 24106216} -{"train_lr": 0.0009343603272413742, "train_loss": 3.5936081698834896, "test_loss": 1.1324069378552613, "test_acc1": 74.0940039855957, "test_acc5": 92.30200518798829, "epoch": 102, "n_parameters": 24106216} -{"train_lr": 0.0009286872779430482, "train_loss": 3.599369326800108, "test_loss": 1.1619404170800138, "test_acc1": 74.0480040283203, "test_acc5": 92.43200500488281, "epoch": 103, "n_parameters": 24106216} -{"train_lr": 0.0009229814742187941, "train_loss": 3.5892515239417553, "test_loss": 1.1586112297243543, "test_acc1": 74.11200382080078, "test_acc5": 92.40000498046875, "epoch": 104, "n_parameters": 24106216} -{"train_lr": 0.000917243541774331, "train_loss": 3.5928995987474917, "test_loss": 1.1729069048607792, "test_acc1": 73.86800381469726, "test_acc5": 92.37800513916015, "epoch": 105, "n_parameters": 24106216} -{"train_lr": 0.0009114741098385021, "train_loss": 3.582173924386501, "test_loss": 1.1758026820090082, "test_acc1": 73.77000364379883, "test_acc5": 92.20000501708985, "epoch": 106, "n_parameters": 24106216} -{"train_lr": 0.0009056738110946389, "train_loss": 3.586464711278677, "test_loss": 1.1489046652007986, "test_acc1": 74.11200376586915, "test_acc5": 92.51800521240234, "epoch": 107, "n_parameters": 24106216} -{"train_lr": 0.0008998432816108552, "train_loss": 3.5707189862430098, "test_loss": 1.158327546108652, "test_acc1": 74.3680041809082, "test_acc5": 92.3300047241211, "epoch": 108, "n_parameters": 24106216} -{"train_lr": 0.0008939831607703592, "train_loss": 3.575123503535986, "test_loss": 1.1367736122122518, "test_acc1": 74.63000407104492, "test_acc5": 92.60400506591797, "epoch": 109, "n_parameters": 24106216} -{"train_lr": 0.0008880940912014668, "train_loss": 3.57016714297235, "test_loss": 1.1578463315963745, "test_acc1": 74.19600415039062, "test_acc5": 92.34600524902343, "epoch": 110, "n_parameters": 24106216} -{"train_lr": 0.0008821767187070193, "train_loss": 3.566488652318716, "test_loss": 1.1377138078764633, "test_acc1": 74.28800391845704, "test_acc5": 92.49800485839843, "epoch": 111, "n_parameters": 24106216} -{"train_lr": 0.0008762316921935539, "train_loss": 3.5594828301370143, "test_loss": 1.1386544149782922, "test_acc1": 74.31600396118164, "test_acc5": 92.56000522460937, "epoch": 112, "n_parameters": 24106216} -{"train_lr": 0.0008702596636003183, "train_loss": 3.5695921320170165, "test_loss": 1.126942495091094, "test_acc1": 74.39400391235351, "test_acc5": 92.48800521240234, "epoch": 113, "n_parameters": 24106216} -{"train_lr": 0.0008642612878274595, "train_loss": 3.569069430232048, "test_loss": 1.149344398467629, "test_acc1": 74.48600393066407, "test_acc5": 92.596005078125, "epoch": 114, "n_parameters": 24106216} -{"train_lr": 0.0008582372226645115, "train_loss": 3.5539575637578964, "test_loss": 1.1463305630065777, "test_acc1": 74.51600399169922, "test_acc5": 92.66800535888672, "epoch": 115, "n_parameters": 24106216} -{"train_lr": 0.0008521881287180972, "train_loss": 3.552093474507332, "test_loss": 1.1334857913079086, "test_acc1": 74.8000039489746, "test_acc5": 92.70400498046875, "epoch": 116, "n_parameters": 24106216} -{"train_lr": 0.0008461146693395127, "train_loss": 3.545064780175686, "test_loss": 1.1261480809361846, "test_acc1": 74.68600430297852, "test_acc5": 92.6520052734375, "epoch": 117, "n_parameters": 24106216} -{"train_lr": 0.0008400175105520729, "train_loss": 3.53641934633255, "test_loss": 1.1238826071774517, "test_acc1": 74.43600405273438, "test_acc5": 92.72600489501953, "epoch": 118, "n_parameters": 24106216} -{"train_lr": 0.0008338973209779325, "train_loss": 3.5424098806381226, "test_loss": 1.1037296674869679, "test_acc1": 74.62400409545899, "test_acc5": 92.74200510253907, "epoch": 119, "n_parameters": 24106216} -{"train_lr": 0.0008277547717647853, "train_loss": 3.536599265962839, "test_loss": 1.1055484215418498, "test_acc1": 74.65600407714844, "test_acc5": 92.7000049194336, "epoch": 120, "n_parameters": 24106216} -{"train_lr": 0.0008215905365124562, "train_loss": 3.5271435806006193, "test_loss": 1.0788474085706252, "test_acc1": 74.88800427856445, "test_acc5": 92.73400518798829, "epoch": 121, "n_parameters": 24106216} -{"train_lr": 0.0008154052911987567, "train_loss": 3.532566266000271, "test_loss": 1.1101446982335161, "test_acc1": 74.93800406494141, "test_acc5": 92.89200490722656, "epoch": 122, "n_parameters": 24106216} -{"train_lr": 0.0008091997141055626, "train_loss": 3.5136356408298015, "test_loss": 1.1472331111629803, "test_acc1": 74.9800041015625, "test_acc5": 92.936005078125, "epoch": 123, "n_parameters": 24106216} -{"train_lr": 0.0008029744857443164, "train_loss": 3.529014693811536, "test_loss": 1.1128875174456172, "test_acc1": 74.85000408325196, "test_acc5": 92.7860048828125, "epoch": 124, "n_parameters": 24106216} -{"train_lr": 0.0007967302887814663, "train_loss": 3.513992625325918, "test_loss": 1.0947383473868724, "test_acc1": 75.08200415649414, "test_acc5": 92.76200516357422, "epoch": 125, "n_parameters": 24106216} -{"train_lr": 0.0007904678079635532, "train_loss": 3.518885370582342, "test_loss": 1.0751290575221732, "test_acc1": 75.01000424194336, "test_acc5": 92.83400516357422, "epoch": 126, "n_parameters": 24106216} -{"train_lr": 0.0007841877300421939, "train_loss": 3.510451225221157, "test_loss": 1.096645563426945, "test_acc1": 75.14400393066406, "test_acc5": 92.88200516357422, "epoch": 127, "n_parameters": 24106216} -{"train_lr": 0.0007778907436987171, "train_loss": 3.500187058866024, "test_loss": 1.0890106834747173, "test_acc1": 75.09200410766601, "test_acc5": 92.93000490722656, "epoch": 128, "n_parameters": 24106216} -{"train_lr": 0.0007715775394686239, "train_loss": 3.511883136346936, "test_loss": 1.1074308493623026, "test_acc1": 75.30200414428711, "test_acc5": 92.90600516357422, "epoch": 129, "n_parameters": 24106216} -{"train_lr": 0.0007652488096658586, "train_loss": 3.5078896221220495, "test_loss": 1.1000324650495141, "test_acc1": 75.32000402832031, "test_acc5": 92.99400506591797, "epoch": 130, "n_parameters": 24106216} -{"train_lr": 0.0007589052483070163, "train_loss": 3.4899099462628365, "test_loss": 1.1071955591992095, "test_acc1": 75.00200408935547, "test_acc5": 92.8880048828125, "epoch": 131, "n_parameters": 24106216} -{"train_lr": 0.0007525475510350503, "train_loss": 3.4974829872846604, "test_loss": 1.0645826704524182, "test_acc1": 75.34800419921875, "test_acc5": 92.97600463867188, "epoch": 132, "n_parameters": 24106216} -{"train_lr": 0.0007461764150431534, "train_loss": 3.503699901282787, "test_loss": 1.08938006532413, "test_acc1": 75.28600428466797, "test_acc5": 92.87200501708985, "epoch": 133, "n_parameters": 24106216} -{"train_lr": 0.0007397925389981409, "train_loss": 3.489741263985634, "test_loss": 1.0875394381582737, "test_acc1": 75.3320041809082, "test_acc5": 92.96800511474609, "epoch": 134, "n_parameters": 24106216} -{"train_lr": 0.0007333966229640014, "train_loss": 3.48233740529418, "test_loss": 1.1131690732306905, "test_acc1": 75.4740038635254, "test_acc5": 92.97800502929688, "epoch": 135, "n_parameters": 24106216} -{"train_lr": 0.0007269893683249381, "train_loss": 3.482793799251318, "test_loss": 1.0892441145799778, "test_acc1": 75.5420040283203, "test_acc5": 93.00800520019531, "epoch": 136, "n_parameters": 24106216} -{"train_lr": 0.0007205714777086898, "train_loss": 3.4705182609409095, "test_loss": 1.1285978815069906, "test_acc1": 75.33200401000977, "test_acc5": 92.9660053955078, "epoch": 137, "n_parameters": 24106216} -{"train_lr": 0.0007141436549092842, "train_loss": 3.463878395572305, "test_loss": 1.0781203880906105, "test_acc1": 75.60000414428711, "test_acc5": 93.20000510253907, "epoch": 138, "n_parameters": 24106216} -{"train_lr": 0.0007077066048098696, "train_loss": 3.47059092284739, "test_loss": 1.092491043938531, "test_acc1": 75.76200446166992, "test_acc5": 93.12200480957031, "epoch": 139, "n_parameters": 24106216} -{"train_lr": 0.0007012610333055865, "train_loss": 3.4696631206423043, "test_loss": 1.063193996609361, "test_acc1": 75.66600419921875, "test_acc5": 93.1840048828125, "epoch": 140, "n_parameters": 24106216} -{"train_lr": 0.0006948076472259564, "train_loss": 3.461814341440797, "test_loss": 1.0804983667201467, "test_acc1": 75.7880042541504, "test_acc5": 93.1000053466797, "epoch": 141, "n_parameters": 24106216} -{"train_lr": 0.0006883471542574745, "train_loss": 3.459596886456013, "test_loss": 1.0690552297013778, "test_acc1": 75.85000396728516, "test_acc5": 93.22600524902344, "epoch": 142, "n_parameters": 24106216} -{"train_lr": 0.0006818802628660457, "train_loss": 3.4499996791779997, "test_loss": 1.0739905144329425, "test_acc1": 75.92600419921875, "test_acc5": 93.27400523681641, "epoch": 143, "n_parameters": 24106216} -{"train_lr": 0.0006754076822191458, "train_loss": 3.445595112487674, "test_loss": 1.0493570145357538, "test_acc1": 75.94800420532226, "test_acc5": 93.430005078125, "epoch": 144, "n_parameters": 24106216} -{"train_lr": 0.0006689301221081836, "train_loss": 3.4492845079004764, "test_loss": 1.0826599531703525, "test_acc1": 75.77400435791016, "test_acc5": 93.25200515136719, "epoch": 145, "n_parameters": 24106216} -{"train_lr": 0.0006624482928706229, "train_loss": 3.439875752300024, "test_loss": 1.0558430551102869, "test_acc1": 75.8960041381836, "test_acc5": 93.37600520019531, "epoch": 146, "n_parameters": 24106216} -{"train_lr": 0.0006559629053121109, "train_loss": 3.4449693131148815, "test_loss": 1.0638307752432647, "test_acc1": 75.89400416870117, "test_acc5": 93.35600509033203, "epoch": 147, "n_parameters": 24106216} -{"train_lr": 0.0006494746706284456, "train_loss": 3.43244423225522, "test_loss": 1.07889688566879, "test_acc1": 75.77000419921875, "test_acc5": 93.36800506591797, "epoch": 148, "n_parameters": 24106216} -{"train_lr": 0.0006429843003276854, "train_loss": 3.4356046917140484, "test_loss": 1.0686531555321481, "test_acc1": 75.94000408935547, "test_acc5": 93.42200484619141, "epoch": 149, "n_parameters": 24106216} -{"train_lr": 0.0006364925061520621, "train_loss": 3.4262935486882924, "test_loss": 1.047235138024445, "test_acc1": 75.98400399780273, "test_acc5": 93.39000517578125, "epoch": 150, "n_parameters": 24106216} -{"train_lr": 0.0006300000000000105, "train_loss": 3.4155477509200574, "test_loss": 1.0550677218922861, "test_acc1": 76.14800398559571, "test_acc5": 93.38400509033202, "epoch": 151, "n_parameters": 24106216} -{"train_lr": 0.000623507493847919, "train_loss": 3.4200672205537557, "test_loss": 1.0520875651251387, "test_acc1": 76.4020041381836, "test_acc5": 93.59000524902343, "epoch": 152, "n_parameters": 24106216} -{"train_lr": 0.0006170156996723187, "train_loss": 3.4169997904896734, "test_loss": 1.0411282384561167, "test_acc1": 76.21200423583984, "test_acc5": 93.56400532226563, "epoch": 153, "n_parameters": 24106216} -{"train_lr": 0.0006105253293715586, "train_loss": 3.420790121525526, "test_loss": 1.0687385994803023, "test_acc1": 76.24000407714844, "test_acc5": 93.53400517578125, "epoch": 154, "n_parameters": 24106216} -{"train_lr": 0.0006040370946878913, "train_loss": 3.4073502252697945, "test_loss": 1.0632397866359464, "test_acc1": 76.40000436401367, "test_acc5": 93.5040049194336, "epoch": 155, "n_parameters": 24106216} -{"train_lr": 0.0005975517071293819, "train_loss": 3.4024132792651653, "test_loss": 1.0195858897986236, "test_acc1": 76.49000399780273, "test_acc5": 93.54400499267578, "epoch": 156, "n_parameters": 24106216} -{"train_lr": 0.0005910698778918172, "train_loss": 3.4018243485689164, "test_loss": 1.0549776062921241, "test_acc1": 76.20200421752929, "test_acc5": 93.61800526123046, "epoch": 157, "n_parameters": 24106216} -{"train_lr": 0.0005845923177808611, "train_loss": 3.391831534832716, "test_loss": 1.0648418064746592, "test_acc1": 76.42400429077148, "test_acc5": 93.61200499267578, "epoch": 158, "n_parameters": 24106216} -{"train_lr": 0.0005781197371339559, "train_loss": 3.384596162378788, "test_loss": 1.055394011515158, "test_acc1": 76.60600432128906, "test_acc5": 93.52600504150391, "epoch": 159, "n_parameters": 24106216} -{"train_lr": 0.0005716528457425195, "train_loss": 3.393890353038907, "test_loss": 1.02877123888444, "test_acc1": 76.42600441284179, "test_acc5": 93.60000501708984, "epoch": 160, "n_parameters": 24106216} -{"train_lr": 0.0005651923527740677, "train_loss": 3.3889250714331864, "test_loss": 1.0148998054641265, "test_acc1": 76.5360040283203, "test_acc5": 93.59200480957031, "epoch": 161, "n_parameters": 24106216} -{"train_lr": 0.0005587389666944373, "train_loss": 3.379422653853893, "test_loss": 1.0654706651413883, "test_acc1": 76.35800462036133, "test_acc5": 93.62000517578124, "epoch": 162, "n_parameters": 24106216} -{"train_lr": 0.0005522933951901373, "train_loss": 3.3833856148272754, "test_loss": 1.029617483969088, "test_acc1": 76.8300041381836, "test_acc5": 93.66800517578125, "epoch": 163, "n_parameters": 24106216} -{"train_lr": 0.0005458563450907417, "train_loss": 3.3725429608970883, "test_loss": 1.0579420659277174, "test_acc1": 76.57600459594727, "test_acc5": 93.68600515136718, "epoch": 164, "n_parameters": 24106216} -{"train_lr": 0.000539428522291313, "train_loss": 3.365507691025734, "test_loss": 1.0460234534133364, "test_acc1": 76.63600423583985, "test_acc5": 93.67200524902344, "epoch": 165, "n_parameters": 24106216} -{"train_lr": 0.0005330106316750525, "train_loss": 3.366674156367779, "test_loss": 1.0152468982118148, "test_acc1": 76.83400440673829, "test_acc5": 93.73000526123047, "epoch": 166, "n_parameters": 24106216} -{"train_lr": 0.0005266033770360246, "train_loss": 3.362324095547199, "test_loss": 1.032787255252953, "test_acc1": 76.86400424194336, "test_acc5": 93.75600493164063, "epoch": 167, "n_parameters": 24106216} -{"train_lr": 0.0005202074610018549, "train_loss": 3.3555745470225813, "test_loss": 1.0114408164388604, "test_acc1": 77.01600438842773, "test_acc5": 93.88800494384766, "epoch": 168, "n_parameters": 24106216} -{"train_lr": 0.0005138235849568437, "train_loss": 3.3529785799384118, "test_loss": 1.04862379061955, "test_acc1": 77.04600420532226, "test_acc5": 93.8180050048828, "epoch": 169, "n_parameters": 24106216} -{"train_lr": 0.000507452448964941, "train_loss": 3.3543607211411, "test_loss": 1.014969859548189, "test_acc1": 77.188004296875, "test_acc5": 93.74000515136719, "epoch": 170, "n_parameters": 24106216} -{"train_lr": 0.0005010947516929787, "train_loss": 3.348523684933782, "test_loss": 0.9997359831575994, "test_acc1": 77.07200440673829, "test_acc5": 94.01000556640625, "epoch": 171, "n_parameters": 24106216} -{"train_lr": 0.00049475119033415, "train_loss": 3.3422499017715452, "test_loss": 1.0062873208964314, "test_acc1": 76.99800438842773, "test_acc5": 93.922005078125, "epoch": 172, "n_parameters": 24106216} -{"train_lr": 0.0004884224605313898, "train_loss": 3.3419008432626724, "test_loss": 1.00325265209432, "test_acc1": 76.98400431518554, "test_acc5": 93.99800509033203, "epoch": 173, "n_parameters": 24106216} -{"train_lr": 0.00048210925630126996, "train_loss": 3.332598694846034, "test_loss": 1.0117203052397128, "test_acc1": 77.06600430297851, "test_acc5": 93.93400515136719, "epoch": 174, "n_parameters": 24106216} -{"train_lr": 0.00047581226995779553, "train_loss": 3.326516041085124, "test_loss": 1.0020786287883918, "test_acc1": 77.24600426635742, "test_acc5": 94.01800500488281, "epoch": 175, "n_parameters": 24106216} -{"train_lr": 0.0004695321920364371, "train_loss": 3.3264727542102337, "test_loss": 1.0200258831459064, "test_acc1": 77.42800424194336, "test_acc5": 94.09000499267579, "epoch": 176, "n_parameters": 24106216} -{"train_lr": 0.0004632697112185289, "train_loss": 3.324969885453582, "test_loss": 1.008157550184815, "test_acc1": 76.92200422363281, "test_acc5": 93.88200494384766, "epoch": 177, "n_parameters": 24106216} -{"train_lr": 0.0004570255142556819, "train_loss": 3.3241507281512024, "test_loss": 0.9994815546605322, "test_acc1": 77.30600446777343, "test_acc5": 94.00200496826172, "epoch": 178, "n_parameters": 24106216} -{"train_lr": 0.00045080028589443574, "train_loss": 3.3104174875319003, "test_loss": 0.9765381728885351, "test_acc1": 77.6140045715332, "test_acc5": 94.1280052368164, "epoch": 179, "n_parameters": 24106216} -{"train_lr": 0.0004445947088012194, "train_loss": 3.301292107194662, "test_loss": 0.9693798926417474, "test_acc1": 77.44000435180664, "test_acc5": 94.08000557861328, "epoch": 180, "n_parameters": 24106216} -{"train_lr": 0.00043840946348753986, "train_loss": 3.2937203740030525, "test_loss": 1.03307115410765, "test_acc1": 77.47000448608398, "test_acc5": 94.08600480957031, "epoch": 181, "n_parameters": 24106216} -{"train_lr": 0.0004322452282352031, "train_loss": 3.2963375917077062, "test_loss": 0.9963034812223028, "test_acc1": 77.60000450439453, "test_acc5": 94.10000495605469, "epoch": 182, "n_parameters": 24106216} -{"train_lr": 0.00042610267902208485, "train_loss": 3.2996852584779264, "test_loss": 0.9898732721253678, "test_acc1": 77.5260041381836, "test_acc5": 94.16400499267579, "epoch": 183, "n_parameters": 24106216} -{"train_lr": 0.00041998248944791515, "train_loss": 3.2910056223124267, "test_loss": 0.9780228910622774, "test_acc1": 77.37200444335937, "test_acc5": 94.20000499267579, "epoch": 184, "n_parameters": 24106216} -{"train_lr": 0.0004138853306604849, "train_loss": 3.29458553647995, "test_loss": 1.003654923427988, "test_acc1": 77.57400432739257, "test_acc5": 94.15400487060546, "epoch": 185, "n_parameters": 24106216} -{"train_lr": 0.0004078118712819156, "train_loss": 3.290191769272089, "test_loss": 0.9815852797969624, "test_acc1": 77.48800447998048, "test_acc5": 94.17400501708984, "epoch": 186, "n_parameters": 24106216} -{"train_lr": 0.0004017627773355014, "train_loss": 3.2819731951206923, "test_loss": 0.9635283686220646, "test_acc1": 77.70600461425781, "test_acc5": 94.116005078125, "epoch": 187, "n_parameters": 24106216} -{"train_lr": 0.00039573871217256004, "train_loss": 3.2720747804641723, "test_loss": 1.0000574603952743, "test_acc1": 77.52000440673828, "test_acc5": 94.19800499267578, "epoch": 188, "n_parameters": 24106216} -{"train_lr": 0.00038974033639969946, "train_loss": 3.277215052455664, "test_loss": 0.9873636777478235, "test_acc1": 77.6400043334961, "test_acc5": 94.1420051147461, "epoch": 189, "n_parameters": 24106216} -{"train_lr": 0.0003837683078064391, "train_loss": 3.264689819738269, "test_loss": 0.9725608860177023, "test_acc1": 77.78800442504883, "test_acc5": 94.29800510253907, "epoch": 190, "n_parameters": 24106216} -{"train_lr": 0.0003778232812930021, "train_loss": 3.260754951030016, "test_loss": 1.0107660628855228, "test_acc1": 77.75800438232422, "test_acc5": 94.23600521240235, "epoch": 191, "n_parameters": 24106216} -{"train_lr": 0.0003719059087985459, "train_loss": 3.250268711656332, "test_loss": 0.9728966595398055, "test_acc1": 77.90600434570312, "test_acc5": 94.3340051513672, "epoch": 192, "n_parameters": 24106216} -{"train_lr": 0.00036601683922965483, "train_loss": 3.257158693224192, "test_loss": 0.9700358607978733, "test_acc1": 77.97600455322265, "test_acc5": 94.4800050415039, "epoch": 193, "n_parameters": 24106216} -{"train_lr": 0.0003601567183891628, "train_loss": 3.2409567886292936, "test_loss": 0.9614612985816267, "test_acc1": 78.0480044555664, "test_acc5": 94.3980048828125, "epoch": 194, "n_parameters": 24106216} -{"train_lr": 0.0003543261889053504, "train_loss": 3.241032668367028, "test_loss": 0.9764751516006611, "test_acc1": 78.27800467529296, "test_acc5": 94.466005078125, "epoch": 195, "n_parameters": 24106216} -{"train_lr": 0.0003485258901614847, "train_loss": 3.2397547681331633, "test_loss": 0.9400773409892011, "test_acc1": 78.3380046447754, "test_acc5": 94.52800485839843, "epoch": 196, "n_parameters": 24106216} -{"train_lr": 0.00034275645822568054, "train_loss": 3.233496492192149, "test_loss": 0.9589429042405553, "test_acc1": 78.17000447387696, "test_acc5": 94.48600495605469, "epoch": 197, "n_parameters": 24106216} -{"train_lr": 0.00033701852578118266, "train_loss": 3.2306749966293573, "test_loss": 0.9695308656880149, "test_acc1": 78.06800432128907, "test_acc5": 94.41600526123047, "epoch": 198, "n_parameters": 24106216} -{"train_lr": 0.000331312722056941, "train_loss": 3.22999482883513, "test_loss": 0.9555392226687184, "test_acc1": 78.30600455322265, "test_acc5": 94.43400490722657, "epoch": 199, "n_parameters": 24106216} -{"train_lr": 0.000325639672758615, "train_loss": 3.2191574945896866, "test_loss": 0.9718392255405585, "test_acc1": 78.31000465087891, "test_acc5": 94.48800510253906, "epoch": 200, "n_parameters": 24106216} -{"train_lr": 0.00031999999999999233, "train_loss": 3.210437662899494, "test_loss": 0.9673135541379452, "test_acc1": 78.29200434570312, "test_acc5": 94.4280051147461, "epoch": 201, "n_parameters": 24106216} -{"train_lr": 0.0003143943222347721, "train_loss": 3.2110543030798437, "test_loss": 0.9470513538905868, "test_acc1": 78.52400445556641, "test_acc5": 94.49200523681641, "epoch": 202, "n_parameters": 24106216} -{"train_lr": 0.00030882325418866155, "train_loss": 3.203830298677087, "test_loss": 0.9411441635478426, "test_acc1": 78.44800446777344, "test_acc5": 94.53800487060546, "epoch": 203, "n_parameters": 24106216} -{"train_lr": 0.00030328740679206283, "train_loss": 3.203956079825759, "test_loss": 0.9442829627681661, "test_acc1": 78.38400463867187, "test_acc5": 94.62800545654297, "epoch": 204, "n_parameters": 24106216} -{"train_lr": 0.00029778738711302104, "train_loss": 3.2054768063873054, "test_loss": 0.9402383523130858, "test_acc1": 78.40400456542969, "test_acc5": 94.55800529785157, "epoch": 205, "n_parameters": 24106216} -{"train_lr": 0.00029232379829068896, "train_loss": 3.20214169344306, "test_loss": 0.95093101773549, "test_acc1": 78.44600463867188, "test_acc5": 94.55600501708984, "epoch": 206, "n_parameters": 24106216} -{"train_lr": 0.0002868972394691239, "train_loss": 3.188258729979396, "test_loss": 0.9518033136372213, "test_acc1": 78.76800456542969, "test_acc5": 94.55600493164063, "epoch": 207, "n_parameters": 24106216} -{"train_lr": 0.00028150830573167937, "train_loss": 3.1920568106621503, "test_loss": 0.9381689917710092, "test_acc1": 78.60800485839843, "test_acc5": 94.6360052368164, "epoch": 208, "n_parameters": 24106216} -{"train_lr": 0.0002761575880356512, "train_loss": 3.177510639742017, "test_loss": 0.9352914260493385, "test_acc1": 78.7040048095703, "test_acc5": 94.64400531005859, "epoch": 209, "n_parameters": 24106216} -{"train_lr": 0.0002708456731475368, "train_loss": 3.171006858497858, "test_loss": 0.9272331646471111, "test_acc1": 78.7520046081543, "test_acc5": 94.69200509033203, "epoch": 210, "n_parameters": 24106216} -{"train_lr": 0.00026557314357866785, "train_loss": 3.170856476828456, "test_loss": 0.9528224515142264, "test_acc1": 78.83600427246094, "test_acc5": 94.71600490722656, "epoch": 211, "n_parameters": 24106216} -{"train_lr": 0.0002603405775213137, "train_loss": 3.1726503008455036, "test_loss": 0.9408938629483735, "test_acc1": 78.8800048828125, "test_acc5": 94.58800517578125, "epoch": 212, "n_parameters": 24106216} -{"train_lr": 0.0002551485487853317, "train_loss": 3.1611244425922633, "test_loss": 0.9087381491230594, "test_acc1": 78.9280047241211, "test_acc5": 94.75400480957032, "epoch": 213, "n_parameters": 24106216} -{"train_lr": 0.00024999762673515906, "train_loss": 3.1642801079452036, "test_loss": 0.9281593846778075, "test_acc1": 79.17400485839843, "test_acc5": 94.85000502929688, "epoch": 214, "n_parameters": 24106216} -{"train_lr": 0.0002448883762274434, "train_loss": 3.1521499838531017, "test_loss": 0.9135656959756657, "test_acc1": 79.08400455322266, "test_acc5": 94.83600522460938, "epoch": 215, "n_parameters": 24106216} -{"train_lr": 0.00023982135754910245, "train_loss": 3.1518370587676765, "test_loss": 0.9126020080789372, "test_acc1": 79.19200458984375, "test_acc5": 94.72800528564453, "epoch": 216, "n_parameters": 24106216} -{"train_lr": 0.0002347971263558166, "train_loss": 3.147251754537225, "test_loss": 0.9468303282779676, "test_acc1": 78.98200440673828, "test_acc5": 94.78400531005859, "epoch": 217, "n_parameters": 24106216} -{"train_lr": 0.00022981623361115184, "train_loss": 3.1361534819751977, "test_loss": 0.9175481861112295, "test_acc1": 79.11800480957031, "test_acc5": 94.77800512695312, "epoch": 218, "n_parameters": 24106216} -{"train_lr": 0.00022487922552613633, "train_loss": 3.136329180151224, "test_loss": 0.9300233218129035, "test_acc1": 79.00000444335937, "test_acc5": 94.77000483398437, "epoch": 219, "n_parameters": 24106216} -{"train_lr": 0.00021998664349934051, "train_loss": 3.1339663069695236, "test_loss": 0.9120928349870222, "test_acc1": 79.08400506591796, "test_acc5": 94.77200498046875, "epoch": 220, "n_parameters": 24106216} -{"train_lr": 0.000215139024057509, "train_loss": 3.1243133362680675, "test_loss": 0.9076626364279676, "test_acc1": 79.33000451660156, "test_acc5": 94.9000051147461, "epoch": 221, "n_parameters": 24106216} -{"train_lr": 0.00021033689879674513, "train_loss": 3.123324843019247, "test_loss": 0.8994620441010704, "test_acc1": 79.16800476074219, "test_acc5": 94.93000513916016, "epoch": 222, "n_parameters": 24106216} -{"train_lr": 0.00020558079432420889, "train_loss": 3.1220828637331723, "test_loss": 0.9103667624294758, "test_acc1": 79.34600480957032, "test_acc5": 94.96200512695313, "epoch": 223, "n_parameters": 24106216} -{"train_lr": 0.00020087123220035279, "train_loss": 3.1140248075276613, "test_loss": 0.9215749078602703, "test_acc1": 79.53000457763672, "test_acc5": 94.89800504150391, "epoch": 224, "n_parameters": 24106216} -{"train_lr": 0.00019620872888171008, "train_loss": 3.1040279679149387, "test_loss": 0.9138497668835852, "test_acc1": 79.41200462646485, "test_acc5": 95.00600524902343, "epoch": 225, "n_parameters": 24106216} -{"train_lr": 0.00019159379566433834, "train_loss": 3.104742958262563, "test_loss": 0.9079068252057941, "test_acc1": 79.56600460205078, "test_acc5": 95.04200516357422, "epoch": 226, "n_parameters": 24106216} -{"train_lr": 0.00018702693862766162, "train_loss": 3.1039786530286073, "test_loss": 0.915115965185342, "test_acc1": 79.55000491943359, "test_acc5": 94.99800523681641, "epoch": 227, "n_parameters": 24106216} -{"train_lr": 0.00018250865857901541, "train_loss": 3.0963307102918627, "test_loss": 0.9053966465095679, "test_acc1": 79.39400476074219, "test_acc5": 95.03000482177734, "epoch": 228, "n_parameters": 24106216} -{"train_lr": 0.0001780394509987274, "train_loss": 3.0895843769907954, "test_loss": 0.904679376218054, "test_acc1": 79.4500046875, "test_acc5": 95.04600498046875, "epoch": 229, "n_parameters": 24106216} -{"train_lr": 0.00017361980598576412, "train_loss": 3.080650296524167, "test_loss": 0.9112503739694754, "test_acc1": 79.68000482177735, "test_acc5": 94.99000522460938, "epoch": 230, "n_parameters": 24106216} -{"train_lr": 0.00016925020820401728, "train_loss": 3.0765829269737006, "test_loss": 0.9088085234441139, "test_acc1": 79.5560048461914, "test_acc5": 95.02800509033203, "epoch": 231, "n_parameters": 24106216} -{"train_lr": 0.00016493113682911276, "train_loss": 3.0777415998876094, "test_loss": 0.908024839229054, "test_acc1": 79.6840047241211, "test_acc5": 95.072005078125, "epoch": 232, "n_parameters": 24106216} -{"train_lr": 0.00016066306549591134, "train_loss": 3.066401726037264, "test_loss": 0.8854005874858962, "test_acc1": 79.83000467529297, "test_acc5": 95.14400494384766, "epoch": 233, "n_parameters": 24106216} -{"train_lr": 0.00015644646224652318, "train_loss": 3.0704121525734664, "test_loss": 0.90461532274882, "test_acc1": 79.82800471191406, "test_acc5": 95.09000505371094, "epoch": 234, "n_parameters": 24106216} -{"train_lr": 0.00015228178947901335, "train_loss": 3.069008496329188, "test_loss": 0.8967400622312669, "test_acc1": 79.84600483398438, "test_acc5": 95.10600513916016, "epoch": 235, "n_parameters": 24106216} -{"train_lr": 0.00014816950389667796, "train_loss": 3.0511977681815625, "test_loss": 0.8985421734827536, "test_acc1": 79.73000490722656, "test_acc5": 95.06200505371093, "epoch": 236, "n_parameters": 24106216} -{"train_lr": 0.00014411005645798, "train_loss": 3.051007819712162, "test_loss": 0.892045988390843, "test_acc1": 79.90800480957031, "test_acc5": 95.13000493164063, "epoch": 237, "n_parameters": 24106216} -{"train_lr": 0.00014010389232707354, "train_loss": 3.048807823985815, "test_loss": 0.8916912964648671, "test_acc1": 80.01800467529297, "test_acc5": 95.14000522460937, "epoch": 238, "n_parameters": 24106216} -{"train_lr": 0.00013615145082499966, "train_loss": 3.0433648550361396, "test_loss": 0.8919432385376206, "test_acc1": 79.71600463867188, "test_acc5": 95.17800528564453, "epoch": 239, "n_parameters": 24106216} -{"train_lr": 0.00013225316538151042, "train_loss": 3.039906245842576, "test_loss": 0.8873664994758589, "test_acc1": 80.08000485839844, "test_acc5": 95.222005078125, "epoch": 240, "n_parameters": 24106216} -{"train_lr": 0.0001284094634875348, "train_loss": 3.040916676059365, "test_loss": 0.8806173932497148, "test_acc1": 80.05600485839844, "test_acc5": 95.20800502929687, "epoch": 241, "n_parameters": 24106216} -{"train_lr": 0.00012462076664829501, "train_loss": 3.0380045693963766, "test_loss": 0.8888979943262206, "test_acc1": 79.93800466308593, "test_acc5": 95.28200506591797, "epoch": 242, "n_parameters": 24106216} -{"train_lr": 0.00012088749033710425, "train_loss": 3.0134953652620315, "test_loss": 0.8895010726043472, "test_acc1": 80.01400474853516, "test_acc5": 95.27600512695312, "epoch": 243, "n_parameters": 24106216} -{"train_lr": 0.00011721004394976994, "train_loss": 3.0255118935704233, "test_loss": 0.879025566081206, "test_acc1": 80.21400480957031, "test_acc5": 95.28800509033204, "epoch": 244, "n_parameters": 24106216} -{"train_lr": 0.00011358883075973727, "train_loss": 3.0124014007151128, "test_loss": 0.8720596707253544, "test_acc1": 80.18000496826171, "test_acc5": 95.38400524902343, "epoch": 245, "n_parameters": 24106216} -{"train_lr": 0.00011002424787383593, "train_loss": 3.0167447599321604, "test_loss": 0.8714299048814509, "test_acc1": 80.23200467529297, "test_acc5": 95.27000534667968, "epoch": 246, "n_parameters": 24106216} -{"train_lr": 0.00010651668618874898, "train_loss": 3.0073486543893813, "test_loss": 0.8716654337390706, "test_acc1": 80.20000460205078, "test_acc5": 95.22800509033203, "epoch": 247, "n_parameters": 24106216} -{"train_lr": 0.00010306653034814271, "train_loss": 3.0035021328479052, "test_loss": 0.8766916954406986, "test_acc1": 80.28000506591796, "test_acc5": 95.30800500488282, "epoch": 248, "n_parameters": 24106216} -{"train_lr": 9.967415870048714e-05, "train_loss": 3.003908414140344, "test_loss": 0.8880337258731877, "test_acc1": 80.25000479736327, "test_acc5": 95.33400511474609, "epoch": 249, "n_parameters": 24106216} -{"train_lr": 9.633994325755601e-05, "train_loss": 2.988338655948639, "test_loss": 0.8744607337371066, "test_acc1": 80.44200505371094, "test_acc5": 95.30400496826172, "epoch": 250, "n_parameters": 24106216} -{"train_lr": 9.306424965364871e-05, "train_loss": 2.9947739422768356, "test_loss": 0.8767939274785695, "test_acc1": 80.28600510253906, "test_acc5": 95.2700048828125, "epoch": 251, "n_parameters": 24106216} -{"train_lr": 8.984743710548115e-05, "train_loss": 2.9843183616399767, "test_loss": 0.8656398212468183, "test_acc1": 80.34200485839844, "test_acc5": 95.32200510253907, "epoch": 252, "n_parameters": 24106216} -{"train_lr": 8.668985837280431e-05, "train_loss": 2.980690733730793, "test_loss": 0.8640585515510153, "test_acc1": 80.39400485839843, "test_acc5": 95.33400511474609, "epoch": 253, "n_parameters": 24106216} -{"train_lr": 8.359185971970582e-05, "train_loss": 2.9808383480012415, "test_loss": 0.8710098230728397, "test_acc1": 80.48600489501953, "test_acc5": 95.37400505371093, "epoch": 254, "n_parameters": 24106216} -{"train_lr": 8.055378087664705e-05, "train_loss": 2.976554958194494, "test_loss": 0.8705335146299115, "test_acc1": 80.38200474853515, "test_acc5": 95.3380048828125, "epoch": 255, "n_parameters": 24106216} -{"train_lr": 7.757595500321181e-05, "train_loss": 2.9754486119896173, "test_loss": 0.8553722848494848, "test_acc1": 80.55600515136719, "test_acc5": 95.35600501708984, "epoch": 256, "n_parameters": 24106216} -{"train_lr": 7.465870865156403e-05, "train_loss": 2.96658799546957, "test_loss": 0.8537510472039381, "test_acc1": 80.68600460205079, "test_acc5": 95.40600496826171, "epoch": 257, "n_parameters": 24106216} -{"train_lr": 7.180236173064093e-05, "train_loss": 2.962957685187459, "test_loss": 0.885377267582549, "test_acc1": 80.59600512695313, "test_acc5": 95.38200533447265, "epoch": 258, "n_parameters": 24106216} -{"train_lr": 6.900722747106695e-05, "train_loss": 2.960129252642393, "test_loss": 0.8667006985180907, "test_acc1": 80.63400510253906, "test_acc5": 95.3360049560547, "epoch": 259, "n_parameters": 24106216} -{"train_lr": 6.627361239081766e-05, "train_loss": 2.957595907986164, "test_loss": 0.8614922440438358, "test_acc1": 80.62000461425781, "test_acc5": 95.43400512695312, "epoch": 260, "n_parameters": 24106216} -{"train_lr": 6.360181626158811e-05, "train_loss": 2.942683516263962, "test_loss": 0.8715696079587495, "test_acc1": 80.59200516357421, "test_acc5": 95.44400502929687, "epoch": 261, "n_parameters": 24106216} -{"train_lr": 6.099213207593079e-05, "train_loss": 2.95504931896925, "test_loss": 0.8598465277916856, "test_acc1": 80.6380049194336, "test_acc5": 95.45000506591796, "epoch": 262, "n_parameters": 24106216} -{"train_lr": 5.8444846015130345e-05, "train_loss": 2.953026807039976, "test_loss": 0.8722494753698508, "test_acc1": 80.76400484619141, "test_acc5": 95.448005078125, "epoch": 263, "n_parameters": 24106216} -{"train_lr": 5.596023741780288e-05, "train_loss": 2.943065997183323, "test_loss": 0.8533435734333815, "test_acc1": 80.83200494384765, "test_acc5": 95.53600505371094, "epoch": 264, "n_parameters": 24106216} -{"train_lr": 5.353857874928353e-05, "train_loss": 2.937865689083934, "test_loss": 0.8576270936539879, "test_acc1": 80.7920049194336, "test_acc5": 95.43400504150391, "epoch": 265, "n_parameters": 24106216} -{"train_lr": 5.118013557173428e-05, "train_loss": 2.9333764756321905, "test_loss": 0.8595511651149502, "test_acc1": 80.72200483398437, "test_acc5": 95.44400524902343, "epoch": 266, "n_parameters": 24106216} -{"train_lr": 4.8885166515027736e-05, "train_loss": 2.9334179870039225, "test_loss": 0.8572031885937408, "test_acc1": 80.69800495605469, "test_acc5": 95.50600510253906, "epoch": 267, "n_parameters": 24106216} -{"train_lr": 4.665392324838075e-05, "train_loss": 2.9332583391815423, "test_loss": 0.856844925356132, "test_acc1": 80.69800458984375, "test_acc5": 95.5060052734375, "epoch": 268, "n_parameters": 24106216} -{"train_lr": 4.4486650452762114e-05, "train_loss": 2.9346873019337654, "test_loss": 0.8660138274232546, "test_acc1": 80.76200485839844, "test_acc5": 95.4620052734375, "epoch": 269, "n_parameters": 24106216} -{"train_lr": 4.2383585794057146e-05, "train_loss": 2.92068563939631, "test_loss": 0.845408507105377, "test_acc1": 80.89200500488282, "test_acc5": 95.56800487060546, "epoch": 270, "n_parameters": 24106216} -{"train_lr": 4.034495989700477e-05, "train_loss": 2.928369224444032, "test_loss": 0.8528754255837865, "test_acc1": 80.72400505371094, "test_acc5": 95.5120048828125, "epoch": 271, "n_parameters": 24106216} -{"train_lr": 3.8370996319908676e-05, "train_loss": 2.9196988317370414, "test_loss": 0.8427806184799583, "test_acc1": 80.908005078125, "test_acc5": 95.5720052001953, "epoch": 272, "n_parameters": 24106216} -{"train_lr": 3.646191153011751e-05, "train_loss": 2.917288804754615, "test_loss": 0.8506649551844155, "test_acc1": 80.91000498046876, "test_acc5": 95.5640048828125, "epoch": 273, "n_parameters": 24106216} -{"train_lr": 3.461791488029484e-05, "train_loss": 2.9139465042054655, "test_loss": 0.8610599358324651, "test_acc1": 80.91400490722656, "test_acc5": 95.5020051147461, "epoch": 274, "n_parameters": 24106216} -{"train_lr": 3.283920858545161e-05, "train_loss": 2.913453850954771, "test_loss": 0.8574102402285293, "test_acc1": 80.8540046875, "test_acc5": 95.5140050415039, "epoch": 275, "n_parameters": 24106216} -{"train_lr": 3.112598770077804e-05, "train_loss": 2.908889174953103, "test_loss": 0.8549363773178171, "test_acc1": 80.99800502929688, "test_acc5": 95.6460053100586, "epoch": 276, "n_parameters": 24106216} -{"train_lr": 2.9478440100248225e-05, "train_loss": 2.8997246150970457, "test_loss": 0.841842065806742, "test_acc1": 80.91600480957031, "test_acc5": 95.57000513916016, "epoch": 277, "n_parameters": 24106216} -{"train_lr": 2.7896746456025184e-05, "train_loss": 2.9013806199133394, "test_loss": 0.8423202494504275, "test_acc1": 81.11200484619141, "test_acc5": 95.58800495605469, "epoch": 278, "n_parameters": 24106216} -{"train_lr": 2.6381080218640463e-05, "train_loss": 2.905309380054474, "test_loss": 0.8449787294699086, "test_acc1": 80.96800487060547, "test_acc5": 95.58000526123047, "epoch": 279, "n_parameters": 24106216} -{"train_lr": 2.493160759797691e-05, "train_loss": 2.8878211559206246, "test_loss": 0.8436723039657982, "test_acc1": 80.98000505371094, "test_acc5": 95.61600515136719, "epoch": 280, "n_parameters": 24106216} -{"train_lr": 2.3548487545040715e-05, "train_loss": 2.8928453395068647, "test_loss": 0.8439547516129635, "test_acc1": 81.04600498046875, "test_acc5": 95.68000517578125, "epoch": 281, "n_parameters": 24106216} -{"train_lr": 2.2231871734532752e-05, "train_loss": 2.8977133067697287, "test_loss": 0.8512853877963843, "test_acc1": 81.04800483398438, "test_acc5": 95.5780052734375, "epoch": 282, "n_parameters": 24106216} -{"train_lr": 2.098190454821356e-05, "train_loss": 2.906042263492942, "test_loss": 0.8527474893188035, "test_acc1": 81.00400485839843, "test_acc5": 95.53200526123047, "epoch": 283, "n_parameters": 24106216} -{"train_lr": 1.979872305907e-05, "train_loss": 2.8948851798921824, "test_loss": 0.8525324630792495, "test_acc1": 81.10000478515624, "test_acc5": 95.59400485839843, "epoch": 284, "n_parameters": 24106216} -{"train_lr": 1.8682457016287e-05, "train_loss": 2.894093502178788, "test_loss": 0.8425859793744706, "test_acc1": 81.15800504150391, "test_acc5": 95.66200512695312, "epoch": 285, "n_parameters": 24106216} -{"train_lr": 1.7633228831014662e-05, "train_loss": 2.8865996727496386, "test_loss": 0.8437854568991396, "test_acc1": 81.22600474853516, "test_acc5": 95.63800505371094, "epoch": 286, "n_parameters": 24106216} -{"train_lr": 1.665115356294694e-05, "train_loss": 2.8875096675306557, "test_loss": 0.8412363955544101, "test_acc1": 81.13200480957032, "test_acc5": 95.62800526123047, "epoch": 287, "n_parameters": 24106216} -{"train_lr": 1.5736338907704675e-05, "train_loss": 2.8786799937486647, "test_loss": 0.8493895848040227, "test_acc1": 81.20000500488281, "test_acc5": 95.63200520019531, "epoch": 288, "n_parameters": 24106216} -{"train_lr": 1.4888885185023625e-05, "train_loss": 2.885313951253891, "test_loss": 0.8435808976215345, "test_acc1": 81.09800485839844, "test_acc5": 95.61800513916016, "epoch": 289, "n_parameters": 24106216} -{"train_lr": 1.4108885327754314e-05, "train_loss": 2.8780415737777947, "test_loss": 0.8476850361459785, "test_acc1": 81.2000050415039, "test_acc5": 95.61600515136719, "epoch": 290, "n_parameters": 24106216} -{"train_lr": 1.3396424871670916e-05, "train_loss": 2.8875079779922963, "test_loss": 0.8460305598047044, "test_acc1": 81.16000498046876, "test_acc5": 95.67800513916016, "epoch": 291, "n_parameters": 24106216} -{"train_lr": 1.2751581946090358e-05, "train_loss": 2.8853755296617747, "test_loss": 0.84204978040523, "test_acc1": 81.15600501708984, "test_acc5": 95.64200491943359, "epoch": 292, "n_parameters": 24106216} -{"train_lr": 1.2174427265307128e-05, "train_loss": 2.880560509517789, "test_loss": 0.8439042424714124, "test_acc1": 81.19600490722657, "test_acc5": 95.65400502929687, "epoch": 293, "n_parameters": 24106216} -{"train_lr": 1.1665024120836074e-05, "train_loss": 2.872427248314023, "test_loss": 0.8421474531016968, "test_acc1": 81.15400469970703, "test_acc5": 95.62600531005859, "epoch": 294, "n_parameters": 24106216} -{"train_lr": 1.1223428374471885e-05, "train_loss": 2.8771587539613246, "test_loss": 0.8447476997971535, "test_acc1": 81.13800493164062, "test_acc5": 95.63600524902344, "epoch": 295, "n_parameters": 24106216} -{"train_lr": 1.0849688452164115e-05, "train_loss": 2.874407935008407, "test_loss": 0.8421526631271398, "test_acc1": 81.13200502929688, "test_acc5": 95.62200526123047, "epoch": 296, "n_parameters": 24106216} -{"train_lr": 1.0543845338707663e-05, "train_loss": 2.8779456590265036, "test_loss": 0.8447596273488469, "test_acc1": 81.16000482177735, "test_acc5": 95.60800499267579, "epoch": 297, "n_parameters": 24106216} -{"train_lr": 1.0305932573246438e-05, "train_loss": 2.8798549397289754, "test_loss": 0.847868407903998, "test_acc1": 81.13800500488281, "test_acc5": 95.57800494384766, "epoch": 298, "n_parameters": 24106216} -{"train_lr": 1.0135976245596009e-05, "train_loss": 2.8763493206501005, "test_loss": 0.8450119354658656, "test_acc1": 81.14000500488281, "test_acc5": 95.65600512695312, "epoch": 299, "n_parameters": 24106216} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt deleted file mode 100644 index 8f280eafc..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_b.txt +++ /dev/null @@ -1,300 +0,0 @@ -{"train_lr": 9.999999999999953e-07, "train_loss": 6.912704940227201, "test_loss": 6.839647262385397, "test_acc1": 0.40000001934051516, "test_acc5": 1.6540000639152528, "epoch": 0, "n_parameters": 56070952} -{"train_lr": 9.999999999999953e-07, "train_loss": 6.889428068169778, "test_loss": 6.792653089219874, "test_acc1": 0.49400002071380616, "test_acc5": 2.0580000622558594, "epoch": 1, "n_parameters": 56070952} -{"train_lr": 0.00020080000000000092, "train_loss": 6.628370880842399, "test_loss": 5.548184212410089, "test_acc1": 6.120000180511474, "test_acc5": 17.118000468597412, "epoch": 2, "n_parameters": 56070952} -{"train_lr": 0.000400599999999987, "train_loss": 6.300531226286976, "test_loss": 4.655281354080547, "test_acc1": 14.272000410766601, "test_acc5": 32.84800081695557, "epoch": 3, "n_parameters": 56070952} -{"train_lr": 0.0006003999999999824, "train_loss": 6.0312243470375675, "test_loss": 4.00048336838231, "test_acc1": 22.54600062591553, "test_acc5": 45.424001314697264, "epoch": 4, "n_parameters": 56070952} -{"train_lr": 0.0008002000000000078, "train_loss": 5.798836317613161, "test_loss": 3.5317998799410733, "test_acc1": 28.956000791015626, "test_acc5": 53.94200138031006, "epoch": 5, "n_parameters": 56070952} -{"train_lr": 0.0009993216197035084, "train_loss": 5.594057629148451, "test_loss": 3.114144051616842, "test_acc1": 35.626001033477785, "test_acc5": 61.63000168426514, "epoch": 6, "n_parameters": 56070952} -{"train_lr": 0.000999023230572016, "train_loss": 5.342292041539384, "test_loss": 2.732066015402476, "test_acc1": 41.966001228485105, "test_acc5": 67.942001852417, "epoch": 7, "n_parameters": 56070952} -{"train_lr": 0.000998670666226098, "train_loss": 5.150456475935203, "test_loss": 2.4861514753464498, "test_acc1": 47.08800120788574, "test_acc5": 72.81600229309082, "epoch": 8, "n_parameters": 56070952} -{"train_lr": 0.0009982639653285214, "train_loss": 4.995043093733174, "test_loss": 2.2388629949454106, "test_acc1": 50.870001313781735, "test_acc5": 76.18400217132569, "epoch": 9, "n_parameters": 56070952} -{"train_lr": 0.0009978031724785232, "train_loss": 4.850744197789809, "test_loss": 2.1441605976133635, "test_acc1": 53.848001522521976, "test_acc5": 78.75600261505127, "epoch": 10, "n_parameters": 56070952} -{"train_lr": 0.000997288338207296, "train_loss": 4.71835691973174, "test_loss": 2.0129131268371236, "test_acc1": 55.9700016317749, "test_acc5": 80.67200261108398, "epoch": 11, "n_parameters": 56070952} -{"train_lr": 0.0009967195189721821, "train_loss": 4.624719400176232, "test_loss": 1.8892485359401414, "test_acc1": 58.70200174255371, "test_acc5": 82.33800245666504, "epoch": 12, "n_parameters": 56070952} -{"train_lr": 0.0009960967771506664, "train_loss": 4.515506669366769, "test_loss": 1.773995986942089, "test_acc1": 60.178001698913576, "test_acc5": 83.74600262786865, "epoch": 13, "n_parameters": 56070952} -{"train_lr": 0.0009954201810333753, "train_loss": 4.445058339291053, "test_loss": 1.7524210027221478, "test_acc1": 61.732001773986816, "test_acc5": 84.78400275970459, "epoch": 14, "n_parameters": 56070952} -{"train_lr": 0.0009946898048166896, "train_loss": 4.371559739351082, "test_loss": 1.6321740552331463, "test_acc1": 63.25400189758301, "test_acc5": 85.72800238952637, "epoch": 15, "n_parameters": 56070952} -{"train_lr": 0.000993905728594591, "train_loss": 4.3099268325131765, "test_loss": 1.5759435068025733, "test_acc1": 64.14400181610108, "test_acc5": 86.12800252532959, "epoch": 16, "n_parameters": 56070952} -{"train_lr": 0.0009930680383498827, "train_loss": 4.261530262127007, "test_loss": 1.546471024327206, "test_acc1": 65.21000194885254, "test_acc5": 86.84400281433105, "epoch": 17, "n_parameters": 56070952} -{"train_lr": 0.0009921768259447902, "train_loss": 4.207295479391404, "test_loss": 1.4673702502340982, "test_acc1": 65.95000186157226, "test_acc5": 87.5040025378418, "epoch": 18, "n_parameters": 56070952} -{"train_lr": 0.0009912321891107068, "train_loss": 4.164027932665045, "test_loss": 1.44344453152382, "test_acc1": 66.6000019015503, "test_acc5": 87.78600277099609, "epoch": 19, "n_parameters": 56070952} -{"train_lr": 0.000990234231437762, "train_loss": 4.120327394119174, "test_loss": 1.4459513929305654, "test_acc1": 66.8260019934082, "test_acc5": 88.34800268066407, "epoch": 20, "n_parameters": 56070952} -{"train_lr": 0.000989183062363242, "train_loss": 4.081421746481523, "test_loss": 1.4114884810917305, "test_acc1": 67.86800211334229, "test_acc5": 88.60000277679444, "epoch": 21, "n_parameters": 56070952} -{"train_lr": 0.0009880787971596754, "train_loss": 4.052322867796194, "test_loss": 1.3930162444259182, "test_acc1": 68.34400214172364, "test_acc5": 88.94400270690917, "epoch": 22, "n_parameters": 56070952} -{"train_lr": 0.0009869215569222388, "train_loss": 4.0227338196419415, "test_loss": 1.403536194427447, "test_acc1": 68.85200219848633, "test_acc5": 89.34200252563477, "epoch": 23, "n_parameters": 56070952} -{"train_lr": 0.000985711468555267, "train_loss": 3.9993192537797153, "test_loss": 1.3516820041519222, "test_acc1": 69.01000192230225, "test_acc5": 89.60000246520995, "epoch": 24, "n_parameters": 56070952} -{"train_lr": 0.0009844486647586856, "train_loss": 3.9678954313889587, "test_loss": 1.3008371638980778, "test_acc1": 69.77600220489502, "test_acc5": 89.95600271148682, "epoch": 25, "n_parameters": 56070952} -{"train_lr": 0.00098313328401311, "train_loss": 3.944302456937343, "test_loss": 1.2904443379604456, "test_acc1": 70.002002137146, "test_acc5": 90.06000252349854, "epoch": 26, "n_parameters": 56070952} -{"train_lr": 0.0009817654705648337, "train_loss": 3.91601000658328, "test_loss": 1.28482392452883, "test_acc1": 70.1140022229004, "test_acc5": 90.09400266723632, "epoch": 27, "n_parameters": 56070952} -{"train_lr": 0.0009803453744100898, "train_loss": 3.89881496249343, "test_loss": 1.2450710013508797, "test_acc1": 70.73600224914551, "test_acc5": 90.47400247161865, "epoch": 28, "n_parameters": 56070952} -{"train_lr": 0.0009788731512783825, "train_loss": 3.875996728499921, "test_loss": 1.305282699790868, "test_acc1": 70.45200235748291, "test_acc5": 90.23400260528564, "epoch": 29, "n_parameters": 56070952} -{"train_lr": 0.00097734896261555, "train_loss": 3.8518742872990197, "test_loss": 1.269982046250141, "test_acc1": 71.0840021697998, "test_acc5": 90.60200247558593, "epoch": 30, "n_parameters": 56070952} -{"train_lr": 0.0009757729755660996, "train_loss": 3.846510480729034, "test_loss": 1.229921282466614, "test_acc1": 71.39000236663819, "test_acc5": 90.9000025454712, "epoch": 31, "n_parameters": 56070952} -{"train_lr": 0.000974145362954742, "train_loss": 3.8250726998614657, "test_loss": 1.2235188786730622, "test_acc1": 71.8680023336792, "test_acc5": 91.0640027911377, "epoch": 32, "n_parameters": 56070952} -{"train_lr": 0.0009724663032675332, "train_loss": 3.8025007393005654, "test_loss": 1.2057474273623843, "test_acc1": 71.93000230041504, "test_acc5": 90.97200252471924, "epoch": 33, "n_parameters": 56070952} -{"train_lr": 0.000970735980632352, "train_loss": 3.796611974112612, "test_loss": 1.1791389525839777, "test_acc1": 72.12200247039794, "test_acc5": 91.23400266937256, "epoch": 34, "n_parameters": 56070952} -{"train_lr": 0.0009689545847984843, "train_loss": 3.7842100678111534, "test_loss": 1.1775148090991108, "test_acc1": 72.13400232269287, "test_acc5": 91.3540024053955, "epoch": 35, "n_parameters": 56070952} -{"train_lr": 0.000967122311116087, "train_loss": 3.7663423015202264, "test_loss": 1.1823426902745708, "test_acc1": 72.27000227111816, "test_acc5": 91.38600270050048, "epoch": 36, "n_parameters": 56070952} -{"train_lr": 0.000965239360514694, "train_loss": 3.758088919184477, "test_loss": 1.1881508111502186, "test_acc1": 72.74200220001221, "test_acc5": 91.53000262756348, "epoch": 37, "n_parameters": 56070952} -{"train_lr": 0.0009633059394809262, "train_loss": 3.7464552790426806, "test_loss": 1.1652916771444408, "test_acc1": 72.90000226898194, "test_acc5": 91.6540023461914, "epoch": 38, "n_parameters": 56070952} -{"train_lr": 0.0009613222600362934, "train_loss": 3.730052902544145, "test_loss": 1.1618276179739924, "test_acc1": 72.67200231414795, "test_acc5": 91.63800251800537, "epoch": 39, "n_parameters": 56070952} -{"train_lr": 0.0009592885397135909, "train_loss": 3.718196343436992, "test_loss": 1.1766195753307054, "test_acc1": 73.1220024661255, "test_acc5": 91.83800261230469, "epoch": 40, "n_parameters": 56070952} -{"train_lr": 0.0009572050015330907, "train_loss": 3.7197662323927707, "test_loss": 1.156752699252331, "test_acc1": 73.42800245239258, "test_acc5": 91.97000253570556, "epoch": 41, "n_parameters": 56070952} -{"train_lr": 0.0009550718739782929, "train_loss": 3.694063566714454, "test_loss": 1.1182041031618912, "test_acc1": 73.26400241333008, "test_acc5": 91.9960025656128, "epoch": 42, "n_parameters": 56070952} -{"train_lr": 0.0009528893909706948, "train_loss": 3.687745183539524, "test_loss": 1.1842028293194193, "test_acc1": 73.55200232666016, "test_acc5": 91.94600256317139, "epoch": 43, "n_parameters": 56070952} -{"train_lr": 0.0009506577918441058, "train_loss": 3.676478501632631, "test_loss": 1.118515907702121, "test_acc1": 73.55200259643554, "test_acc5": 92.27200267486572, "epoch": 44, "n_parameters": 56070952} -{"train_lr": 0.0009483773213185082, "train_loss": 3.6690303715441726, "test_loss": 1.140866585978956, "test_acc1": 73.82000231658935, "test_acc5": 92.18000243865967, "epoch": 45, "n_parameters": 56070952} -{"train_lr": 0.0009460482294732177, "train_loss": 3.6674534740874902, "test_loss": 1.1153390010197957, "test_acc1": 73.90600259613038, "test_acc5": 92.27800253417969, "epoch": 46, "n_parameters": 56070952} -{"train_lr": 0.000943670771719436, "train_loss": 3.6546605052136116, "test_loss": 1.128966748714447, "test_acc1": 73.91400241577148, "test_acc5": 92.29800286224365, "epoch": 47, "n_parameters": 56070952} -{"train_lr": 0.0009412452087721683, "train_loss": 3.646538553120707, "test_loss": 1.1110590029169212, "test_acc1": 73.94600240966797, "test_acc5": 92.3240025982666, "epoch": 48, "n_parameters": 56070952} -{"train_lr": 0.0009387718066217019, "train_loss": 3.6384044256713466, "test_loss": 1.1110046388524952, "test_acc1": 74.15400235321044, "test_acc5": 92.38200237243652, "epoch": 49, "n_parameters": 56070952} -{"train_lr": 0.000936250836504503, "train_loss": 3.632802799046278, "test_loss": 1.0973600124319394, "test_acc1": 74.01400247009278, "test_acc5": 92.48400273864746, "epoch": 50, "n_parameters": 56070952} -{"train_lr": 0.0009336825748732897, "train_loss": 3.61445346691435, "test_loss": 1.0730329312835678, "test_acc1": 74.26400239593507, "test_acc5": 92.65400245910645, "epoch": 51, "n_parameters": 56070952} -{"train_lr": 0.0009310673033669664, "train_loss": 3.6104777341456913, "test_loss": 1.0746280512574948, "test_acc1": 74.43800225769043, "test_acc5": 92.65200262298583, "epoch": 52, "n_parameters": 56070952} -{"train_lr": 0.0009284053087794627, "train_loss": 3.597458833460804, "test_loss": 1.0944448549187544, "test_acc1": 74.35800242279053, "test_acc5": 92.57800264770508, "epoch": 53, "n_parameters": 56070952} -{"train_lr": 0.0009256968830284788, "train_loss": 3.6010333644114523, "test_loss": 1.0980534571589846, "test_acc1": 74.33000241821289, "test_acc5": 92.60400251617432, "epoch": 54, "n_parameters": 56070952} -{"train_lr": 0.0009229423231234935, "train_loss": 3.6009198469128445, "test_loss": 1.083047712955511, "test_acc1": 74.30800233184814, "test_acc5": 92.70000263397216, "epoch": 55, "n_parameters": 56070952} -{"train_lr": 0.0009201419311329745, "train_loss": 3.596518809346558, "test_loss": 1.0833472014602386, "test_acc1": 74.42400243774414, "test_acc5": 92.67600228363037, "epoch": 56, "n_parameters": 56070952} -{"train_lr": 0.0009172960141514878, "train_loss": 3.571632236563902, "test_loss": 1.0652355733468677, "test_acc1": 74.82600239318847, "test_acc5": 92.77000247253417, "epoch": 57, "n_parameters": 56070952} -{"train_lr": 0.0009144048842658995, "train_loss": 3.580926345883132, "test_loss": 1.04638992374142, "test_acc1": 75.14800247070312, "test_acc5": 92.91800251220702, "epoch": 58, "n_parameters": 56070952} -{"train_lr": 0.0009114688585212051, "train_loss": 3.5791311552770417, "test_loss": 1.070639611983841, "test_acc1": 74.91600258331299, "test_acc5": 92.87400264099121, "epoch": 59, "n_parameters": 56070952} -{"train_lr": 0.0009084882588856559, "train_loss": 3.562718999090431, "test_loss": 1.05127492930853, "test_acc1": 75.19400238128662, "test_acc5": 92.97000254699707, "epoch": 60, "n_parameters": 56070952} -{"train_lr": 0.0009054634122156225, "train_loss": 3.5598385410605196, "test_loss": 1.0485075131961794, "test_acc1": 75.0140025213623, "test_acc5": 92.92000276367187, "epoch": 61, "n_parameters": 56070952} -{"train_lr": 0.0009023946502195918, "train_loss": 3.5561550110221196, "test_loss": 1.0531591715460473, "test_acc1": 75.28400250671386, "test_acc5": 92.88400257904053, "epoch": 62, "n_parameters": 56070952} -{"train_lr": 0.0008992823094219693, "train_loss": 3.5485694437718793, "test_loss": 1.0431614511392333, "test_acc1": 75.45400250854492, "test_acc5": 92.97200247802735, "epoch": 63, "n_parameters": 56070952} -{"train_lr": 0.0008961267311259657, "train_loss": 3.5440960401396673, "test_loss": 1.0261423567479306, "test_acc1": 75.40600237091064, "test_acc5": 92.98400230865478, "epoch": 64, "n_parameters": 56070952} -{"train_lr": 0.0008929282613763057, "train_loss": 3.541168891244846, "test_loss": 1.041061870753765, "test_acc1": 75.25600231292725, "test_acc5": 92.94200264495849, "epoch": 65, "n_parameters": 56070952} -{"train_lr": 0.0008896872509212006, "train_loss": 3.5359828043803514, "test_loss": 1.0611026300625368, "test_acc1": 75.2340024383545, "test_acc5": 93.05000257080079, "epoch": 66, "n_parameters": 56070952} -{"train_lr": 0.0008864040551740224, "train_loss": 3.5317085418198033, "test_loss": 1.05652035513159, "test_acc1": 75.47400249053955, "test_acc5": 93.00800254150391, "epoch": 67, "n_parameters": 56070952} -{"train_lr": 0.0008830790341741554, "train_loss": 3.5252698015728345, "test_loss": 1.0357145853340626, "test_acc1": 75.32000253387451, "test_acc5": 93.10000254516602, "epoch": 68, "n_parameters": 56070952} -{"train_lr": 0.000879712552547612, "train_loss": 3.5294321027400493, "test_loss": 1.0448043482999008, "test_acc1": 75.59600259521484, "test_acc5": 93.06600240783692, "epoch": 69, "n_parameters": 56070952} -{"train_lr": 0.0008763049794670927, "train_loss": 3.514820378485153, "test_loss": 1.017730137841268, "test_acc1": 75.65000230163574, "test_acc5": 93.16200245025635, "epoch": 70, "n_parameters": 56070952} -{"train_lr": 0.0008728566886112912, "train_loss": 3.5100005523954554, "test_loss": 1.04899663387826, "test_acc1": 75.72000251373291, "test_acc5": 93.1300024697876, "epoch": 71, "n_parameters": 56070952} -{"train_lr": 0.000869368058124286, "train_loss": 3.5111103839487385, "test_loss": 1.040287685439442, "test_acc1": 75.74600257965088, "test_acc5": 93.3540025189209, "epoch": 72, "n_parameters": 56070952} -{"train_lr": 0.0008658394705736102, "train_loss": 3.4941205774470387, "test_loss": 1.0374023859022241, "test_acc1": 75.47600259307862, "test_acc5": 93.19600266265869, "epoch": 73, "n_parameters": 56070952} -{"train_lr": 0.0008622713129087039, "train_loss": 3.4950422237245298, "test_loss": 1.0276668859702167, "test_acc1": 75.8380025515747, "test_acc5": 93.29200246582032, "epoch": 74, "n_parameters": 56070952} -{"train_lr": 0.0008586639764182332, "train_loss": 3.4920577444285037, "test_loss": 1.0063348452024388, "test_acc1": 75.9520025012207, "test_acc5": 93.37800268676757, "epoch": 75, "n_parameters": 56070952} -{"train_lr": 0.0008550178566873157, "train_loss": 3.483561804349855, "test_loss": 0.9991797471814083, "test_acc1": 76.04600230041504, "test_acc5": 93.42400280731201, "epoch": 76, "n_parameters": 56070952} -{"train_lr": 0.0008513333535541272, "train_loss": 3.491354417874754, "test_loss": 1.020127355713736, "test_acc1": 76.122002505188, "test_acc5": 93.42800235198975, "epoch": 77, "n_parameters": 56070952} -{"train_lr": 0.0008476108710658582, "train_loss": 3.474557547427291, "test_loss": 1.0110199183902957, "test_acc1": 76.19400247314454, "test_acc5": 93.35800265289306, "epoch": 78, "n_parameters": 56070952} -{"train_lr": 0.00084385081743468, "train_loss": 3.4754363436945717, "test_loss": 1.0217402493863394, "test_acc1": 76.37600239624024, "test_acc5": 93.49600257385254, "epoch": 79, "n_parameters": 56070952} -{"train_lr": 0.0008400536049929256, "train_loss": 3.461732646913456, "test_loss": 1.0026822855526751, "test_acc1": 76.36000239044189, "test_acc5": 93.5520026586914, "epoch": 80, "n_parameters": 56070952} -{"train_lr": 0.0008362196501476587, "train_loss": 3.4580803793206583, "test_loss": 1.0190244136434612, "test_acc1": 76.05600274505615, "test_acc5": 93.5480025793457, "epoch": 81, "n_parameters": 56070952} -{"train_lr": 0.0008323493733352106, "train_loss": 3.4648659009394125, "test_loss": 1.0218156871922088, "test_acc1": 76.12200272460937, "test_acc5": 93.50000251342773, "epoch": 82, "n_parameters": 56070952} -{"train_lr": 0.0008284431989751196, "train_loss": 3.4565899745046758, "test_loss": 0.9970098039643331, "test_acc1": 76.57400232208252, "test_acc5": 93.69000245330811, "epoch": 83, "n_parameters": 56070952} -{"train_lr": 0.0008245015554233518, "train_loss": 3.4538528025864985, "test_loss": 1.0122970572926782, "test_acc1": 76.0680023928833, "test_acc5": 93.46600250793458, "epoch": 84, "n_parameters": 56070952} -{"train_lr": 0.0008205248749255873, "train_loss": 3.4474399182007467, "test_loss": 1.0021610561419616, "test_acc1": 76.32000269592285, "test_acc5": 93.78800265228271, "epoch": 85, "n_parameters": 56070952} -{"train_lr": 0.0008165135935696841, "train_loss": 3.441017949204746, "test_loss": 0.9817064520761822, "test_acc1": 76.44800250610352, "test_acc5": 93.7480026385498, "epoch": 86, "n_parameters": 56070952} -{"train_lr": 0.0008124681512377846, "train_loss": 3.4401674785202356, "test_loss": 0.9898288790701013, "test_acc1": 76.6680024307251, "test_acc5": 93.6980024105835, "epoch": 87, "n_parameters": 56070952} -{"train_lr": 0.0008083889915582182, "train_loss": 3.437888034456354, "test_loss": 1.010794982539885, "test_acc1": 76.36800247650146, "test_acc5": 93.63000261993409, "epoch": 88, "n_parameters": 56070952} -{"train_lr": 0.0008042765618568846, "train_loss": 3.4305450664364177, "test_loss": 1.015022680050496, "test_acc1": 76.43600260925292, "test_acc5": 93.74800251525879, "epoch": 89, "n_parameters": 56070952} -{"train_lr": 0.0008001313131079711, "train_loss": 3.4352954044926176, "test_loss": 0.9682072364922726, "test_acc1": 76.6240027017212, "test_acc5": 93.72600257598877, "epoch": 90, "n_parameters": 56070952} -{"train_lr": 0.0007959536998847494, "train_loss": 3.4331840094235493, "test_loss": 1.0039246823977341, "test_acc1": 76.7140024850464, "test_acc5": 93.7380025616455, "epoch": 91, "n_parameters": 56070952} -{"train_lr": 0.0007917441803096098, "train_loss": 3.4214859684522776, "test_loss": 0.9915978797908985, "test_acc1": 76.65600255493165, "test_acc5": 93.7160024822998, "epoch": 92, "n_parameters": 56070952} -{"train_lr": 0.0007875032160038205, "train_loss": 3.418980320175584, "test_loss": 0.9730216907055089, "test_acc1": 76.8700027645874, "test_acc5": 93.78400271148682, "epoch": 93, "n_parameters": 56070952} -{"train_lr": 0.0007832312720368117, "train_loss": 3.406267423173792, "test_loss": 0.984917649717042, "test_acc1": 76.91800288360595, "test_acc5": 93.77200250030518, "epoch": 94, "n_parameters": 56070952} -{"train_lr": 0.0007789288168754665, "train_loss": 3.4109670553418945, "test_loss": 0.971004396451242, "test_acc1": 77.05000242218017, "test_acc5": 93.98000259368897, "epoch": 95, "n_parameters": 56070952} -{"train_lr": 0.0007745963223324492, "train_loss": 3.405389969916843, "test_loss": 0.9762847898810199, "test_acc1": 76.95000240264892, "test_acc5": 93.87800246826171, "epoch": 96, "n_parameters": 56070952} -{"train_lr": 0.0007702342635146132, "train_loss": 3.402109289174076, "test_loss": 0.9639938447737333, "test_acc1": 77.16600249816895, "test_acc5": 93.89000247039795, "epoch": 97, "n_parameters": 56070952} -{"train_lr": 0.0007658431187708385, "train_loss": 3.39297387075367, "test_loss": 0.9698740790287653, "test_acc1": 77.05800248291015, "test_acc5": 93.88400267333985, "epoch": 98, "n_parameters": 56070952} -{"train_lr": 0.0007614233696396923, "train_loss": 3.397619468321522, "test_loss": 0.9571499704863086, "test_acc1": 77.02600259155274, "test_acc5": 93.89800253051757, "epoch": 99, "n_parameters": 56070952} -{"train_lr": 0.0007569755007964469, "train_loss": 3.3900399263099517, "test_loss": 0.9918822655172059, "test_acc1": 76.72400244995117, "test_acc5": 93.89800242736817, "epoch": 100, "n_parameters": 56070952} -{"train_lr": 0.0007525000000000169, "train_loss": 3.3888339081304157, "test_loss": 0.9681012852851189, "test_acc1": 77.03600248687744, "test_acc5": 93.98400250396729, "epoch": 101, "n_parameters": 56070952} -{"train_lr": 0.0007479973580395145, "train_loss": 3.378811183676636, "test_loss": 0.9655746587298133, "test_acc1": 77.09400234344483, "test_acc5": 94.05000286254882, "epoch": 102, "n_parameters": 56070952} -{"train_lr": 0.0007434680686803327, "train_loss": 3.3864170858423583, "test_loss": 0.9570443989201025, "test_acc1": 77.10600272583008, "test_acc5": 94.15800250396728, "epoch": 103, "n_parameters": 56070952} -{"train_lr": 0.0007389126286101685, "train_loss": 3.380241228081435, "test_loss": 0.9627698496209852, "test_acc1": 77.29000245056152, "test_acc5": 94.08800269653321, "epoch": 104, "n_parameters": 56070952} -{"train_lr": 0.0007343315373843357, "train_loss": 3.368689954304676, "test_loss": 0.9824778923031056, "test_acc1": 77.16600243774414, "test_acc5": 93.97000258239746, "epoch": 105, "n_parameters": 56070952} -{"train_lr": 0.0007297252973710595, "train_loss": 3.3793504421445104, "test_loss": 0.9700020426376299, "test_acc1": 77.44400255157471, "test_acc5": 94.01400249481202, "epoch": 106, "n_parameters": 56070952} -{"train_lr": 0.0007250944136965275, "train_loss": 3.3691020908234695, "test_loss": 0.9372505679952375, "test_acc1": 77.28600258392333, "test_acc5": 94.06200235656738, "epoch": 107, "n_parameters": 56070952} -{"train_lr": 0.0007204393941893078, "train_loss": 3.3608612624837533, "test_loss": 0.960112845920252, "test_acc1": 77.43000263671875, "test_acc5": 94.15400254302979, "epoch": 108, "n_parameters": 56070952} -{"train_lr": 0.0007157607493246968, "train_loss": 3.3589463373430246, "test_loss": 0.9364017723410418, "test_acc1": 77.58400245178223, "test_acc5": 94.21800235046386, "epoch": 109, "n_parameters": 56070952} -{"train_lr": 0.0007110589921689151, "train_loss": 3.3515603682167714, "test_loss": 0.9482375355155179, "test_acc1": 77.55600288665771, "test_acc5": 94.06200253936768, "epoch": 110, "n_parameters": 56070952} -{"train_lr": 0.0007063346383225066, "train_loss": 3.3511695806071056, "test_loss": 0.9648187604140152, "test_acc1": 77.08400266021728, "test_acc5": 93.99600253204346, "epoch": 111, "n_parameters": 56070952} -{"train_lr": 0.0007015882058641976, "train_loss": 3.351424478965221, "test_loss": 0.9355759840797294, "test_acc1": 77.59400284515381, "test_acc5": 94.21800258880616, "epoch": 112, "n_parameters": 56070952} -{"train_lr": 0.0006968202152938009, "train_loss": 3.3426454476267695, "test_loss": 0.9457516921966365, "test_acc1": 77.53400260498047, "test_acc5": 94.18800261901856, "epoch": 113, "n_parameters": 56070952} -{"train_lr": 0.0006920311894751397, "train_loss": 3.3427713095403306, "test_loss": 0.9793556210669604, "test_acc1": 77.62800240844726, "test_acc5": 94.3500027444458, "epoch": 114, "n_parameters": 56070952} -{"train_lr": 0.0006872216535789267, "train_loss": 3.3328556346235803, "test_loss": 0.9376341189173135, "test_acc1": 77.86600267944335, "test_acc5": 94.29000237976074, "epoch": 115, "n_parameters": 56070952} -{"train_lr": 0.0006823921350249367, "train_loss": 3.3356596635495253, "test_loss": 0.9589880735359408, "test_acc1": 77.77800252075195, "test_acc5": 94.24000268310547, "epoch": 116, "n_parameters": 56070952} -{"train_lr": 0.0006775431634242846, "train_loss": 3.330214477045168, "test_loss": 0.9523931363541068, "test_acc1": 77.56000245178222, "test_acc5": 94.26400256713868, "epoch": 117, "n_parameters": 56070952} -{"train_lr": 0.0006726752705214028, "train_loss": 3.3268940335602686, "test_loss": 0.9423701111791711, "test_acc1": 77.68200261535644, "test_acc5": 94.28600260162354, "epoch": 118, "n_parameters": 56070952} -{"train_lr": 0.0006677889901356115, "train_loss": 3.326947806300305, "test_loss": 0.9096810842553774, "test_acc1": 77.99400267456055, "test_acc5": 94.50600273132324, "epoch": 119, "n_parameters": 56070952} -{"train_lr": 0.0006628848581025351, "train_loss": 3.3099186642111826, "test_loss": 0.9346439217527708, "test_acc1": 77.81800281219482, "test_acc5": 94.38600258178711, "epoch": 120, "n_parameters": 56070952} -{"train_lr": 0.0006579634122155856, "train_loss": 3.3127799332141876, "test_loss": 0.9314968126515547, "test_acc1": 77.80400255828857, "test_acc5": 94.35200278472901, "epoch": 121, "n_parameters": 56070952} -{"train_lr": 0.0006530251921667783, "train_loss": 3.3096487682452684, "test_loss": 0.9182564095791542, "test_acc1": 78.02000264068603, "test_acc5": 94.4640023626709, "epoch": 122, "n_parameters": 56070952} -{"train_lr": 0.0006480707394875038, "train_loss": 3.313521285101378, "test_loss": 0.928040030101935, "test_acc1": 78.02600242095947, "test_acc5": 94.51400252593994, "epoch": 123, "n_parameters": 56070952} -{"train_lr": 0.0006431005974894059, "train_loss": 3.302337615169305, "test_loss": 0.9160335797703627, "test_acc1": 78.26400252685546, "test_acc5": 94.51800252349854, "epoch": 124, "n_parameters": 56070952} -{"train_lr": 0.000638115311204536, "train_loss": 3.294783538062986, "test_loss": 0.9138777546133056, "test_acc1": 77.93000241943359, "test_acc5": 94.47400263275146, "epoch": 125, "n_parameters": 56070952} -{"train_lr": 0.0006331154273257683, "train_loss": 3.29477528414185, "test_loss": 0.9079601090740074, "test_acc1": 78.35600258209229, "test_acc5": 94.60800234161377, "epoch": 126, "n_parameters": 56070952} -{"train_lr": 0.0006281014941466044, "train_loss": 3.287779706047117, "test_loss": 0.9151705950498581, "test_acc1": 78.32400254211426, "test_acc5": 94.57400254119874, "epoch": 127, "n_parameters": 56070952} -{"train_lr": 0.000623074061501409, "train_loss": 3.2900237323616524, "test_loss": 0.9035431709930752, "test_acc1": 78.22600257476806, "test_acc5": 94.51800248077393, "epoch": 128, "n_parameters": 56070952} -{"train_lr": 0.0006180336807047859, "train_loss": 3.2833905654083146, "test_loss": 0.9259532483463938, "test_acc1": 77.98400249298096, "test_acc5": 94.3580025289917, "epoch": 129, "n_parameters": 56070952} -{"train_lr": 0.0006129809044912789, "train_loss": 3.286903953833355, "test_loss": 0.9139008122411642, "test_acc1": 78.41400269561768, "test_acc5": 94.54800268005371, "epoch": 130, "n_parameters": 56070952} -{"train_lr": 0.0006079162869547817, "train_loss": 3.271812231039448, "test_loss": 0.9214174421221921, "test_acc1": 78.0920025354004, "test_acc5": 94.53800262176513, "epoch": 131, "n_parameters": 56070952} -{"train_lr": 0.0006028403834876773, "train_loss": 3.2754756617698546, "test_loss": 0.9251762522440968, "test_acc1": 78.17600259521484, "test_acc5": 94.61600245422363, "epoch": 132, "n_parameters": 56070952} -{"train_lr": 0.0005977537507199184, "train_loss": 3.2684479526621546, "test_loss": 0.8977958132145982, "test_acc1": 78.46800234344482, "test_acc5": 94.77000276794433, "epoch": 133, "n_parameters": 56070952} -{"train_lr": 0.0005926569464581887, "train_loss": 3.2676727761872573, "test_loss": 0.9030440054608114, "test_acc1": 78.43200245361328, "test_acc5": 94.55400264953613, "epoch": 134, "n_parameters": 56070952} -{"train_lr": 0.0005875505296244566, "train_loss": 3.2638204882470823, "test_loss": 0.8931081547881617, "test_acc1": 78.75200256378174, "test_acc5": 94.66400256530761, "epoch": 135, "n_parameters": 56070952} -{"train_lr": 0.0005824350601949218, "train_loss": 3.2575065070967213, "test_loss": 0.899250671944835, "test_acc1": 78.50400237854004, "test_acc5": 94.68600275970459, "epoch": 136, "n_parameters": 56070952} -{"train_lr": 0.0005773110991383895, "train_loss": 3.2579769920602404, "test_loss": 0.8870818721074046, "test_acc1": 78.7460025592041, "test_acc5": 94.77000275054931, "epoch": 137, "n_parameters": 56070952} -{"train_lr": 0.0005721792083549796, "train_loss": 3.254266119022354, "test_loss": 0.9089894077994607, "test_acc1": 78.49600253051757, "test_acc5": 94.80800272399902, "epoch": 138, "n_parameters": 56070952} -{"train_lr": 0.0005670399506143469, "train_loss": 3.2426188344554268, "test_loss": 0.8832105069675229, "test_acc1": 78.72200236938477, "test_acc5": 94.74200243011475, "epoch": 139, "n_parameters": 56070952} -{"train_lr": 0.0005618938894939768, "train_loss": 3.2413724935550294, "test_loss": 0.9058379984714768, "test_acc1": 78.52800239440919, "test_acc5": 94.75200241516113, "epoch": 140, "n_parameters": 56070952} -{"train_lr": 0.0005567415893175016, "train_loss": 3.2452562818471953, "test_loss": 0.9103516917111296, "test_acc1": 78.71800248077392, "test_acc5": 94.71200253417969, "epoch": 141, "n_parameters": 56070952} -{"train_lr": 0.0005515836150926655, "train_loss": 3.2390358570477753, "test_loss": 0.8935151918593681, "test_acc1": 79.0320026123047, "test_acc5": 94.83200274932861, "epoch": 142, "n_parameters": 56070952} -{"train_lr": 0.0005464205324494959, "train_loss": 3.2301069982379653, "test_loss": 0.8916156024418094, "test_acc1": 78.9280024572754, "test_acc5": 94.76000233520507, "epoch": 143, "n_parameters": 56070952} -{"train_lr": 0.0005412529075781865, "train_loss": 3.216625997750498, "test_loss": 0.9021412967280908, "test_acc1": 78.79200264251709, "test_acc5": 94.83000250732422, "epoch": 144, "n_parameters": 56070952} -{"train_lr": 0.0005360813071670112, "train_loss": 3.218284325645887, "test_loss": 0.8732221330882926, "test_acc1": 79.04000253540039, "test_acc5": 94.84400263000488, "epoch": 145, "n_parameters": 56070952} -{"train_lr": 0.0005309062983402611, "train_loss": 3.2179850097373426, "test_loss": 0.9034905876174117, "test_acc1": 79.02200253753662, "test_acc5": 94.86600268310546, "epoch": 146, "n_parameters": 56070952} -{"train_lr": 0.0005257284485959572, "train_loss": 3.215559138072957, "test_loss": 0.8876238990236412, "test_acc1": 79.02400242309571, "test_acc5": 94.9840026550293, "epoch": 147, "n_parameters": 56070952} -{"train_lr": 0.0005205483257436661, "train_loss": 3.2165611835954477, "test_loss": 0.8660215347102194, "test_acc1": 79.15400244720459, "test_acc5": 94.93800245239258, "epoch": 148, "n_parameters": 56070952} -{"train_lr": 0.0005153664978422618, "train_loss": 3.207129857832675, "test_loss": 0.8559873993649627, "test_acc1": 79.25800250183106, "test_acc5": 95.06600259368896, "epoch": 149, "n_parameters": 56070952} -{"train_lr": 0.0005101835331375457, "train_loss": 3.204889511580852, "test_loss": 0.8727342617331129, "test_acc1": 79.19800249542236, "test_acc5": 95.03600241088867, "epoch": 150, "n_parameters": 56070952} -{"train_lr": 0.0005049999999999881, "train_loss": 3.2018783961435395, "test_loss": 0.8763207950149522, "test_acc1": 79.06400266113282, "test_acc5": 94.93400260772705, "epoch": 151, "n_parameters": 56070952} -{"train_lr": 0.0004998164668624689, "train_loss": 3.1958829824753896, "test_loss": 0.8628019439903173, "test_acc1": 79.14400223205567, "test_acc5": 94.99200256988526, "epoch": 152, "n_parameters": 56070952} -{"train_lr": 0.0004946335021577291, "train_loss": 3.1834444424969783, "test_loss": 0.8678412355031028, "test_acc1": 79.0400022567749, "test_acc5": 95.08800254455566, "epoch": 153, "n_parameters": 56070952} -{"train_lr": 0.0004894516742563275, "train_loss": 3.1873094462495533, "test_loss": 0.8790134912864729, "test_acc1": 79.30600244415284, "test_acc5": 95.00800247009278, "epoch": 154, "n_parameters": 56070952} -{"train_lr": 0.0004842715514040588, "train_loss": 3.1764333859312353, "test_loss": 0.897685437152783, "test_acc1": 79.10800242889404, "test_acc5": 94.90600232666016, "epoch": 155, "n_parameters": 56070952} -{"train_lr": 0.00047909370165973703, "train_loss": 3.179849592627858, "test_loss": 0.8702787388906335, "test_acc1": 79.32000245300293, "test_acc5": 95.0340025680542, "epoch": 156, "n_parameters": 56070952} -{"train_lr": 0.00047391869283298395, "train_loss": 3.1663887823680987, "test_loss": 0.8713175165608074, "test_acc1": 79.44400262664794, "test_acc5": 95.01000232025146, "epoch": 157, "n_parameters": 56070952} -{"train_lr": 0.0004687470924218306, "train_loss": 3.1714960282845652, "test_loss": 0.855689456291271, "test_acc1": 79.70200248596191, "test_acc5": 95.17600251373291, "epoch": 158, "n_parameters": 56070952} -{"train_lr": 0.0004635794675504931, "train_loss": 3.164074593501316, "test_loss": 0.8519140198601015, "test_acc1": 79.60400258850098, "test_acc5": 95.18800262664794, "epoch": 159, "n_parameters": 56070952} -{"train_lr": 0.0004584163849073357, "train_loss": 3.159898334293724, "test_loss": 0.8603929373802561, "test_acc1": 79.65000255004882, "test_acc5": 95.18000235321045, "epoch": 160, "n_parameters": 56070952} -{"train_lr": 0.0004532584106825094, "train_loss": 3.1591980092817074, "test_loss": 0.8499632045400866, "test_acc1": 79.72600247344971, "test_acc5": 95.14200246673585, "epoch": 161, "n_parameters": 56070952} -{"train_lr": 0.0004481061105060409, "train_loss": 3.142821520769434, "test_loss": 0.8502173905797077, "test_acc1": 79.92000256439209, "test_acc5": 95.24000250457763, "epoch": 162, "n_parameters": 56070952} -{"train_lr": 0.00044296004938566933, "train_loss": 3.1487507490540962, "test_loss": 0.8480696420777928, "test_acc1": 79.75600230285644, "test_acc5": 95.17600259643555, "epoch": 163, "n_parameters": 56070952} -{"train_lr": 0.0004378207916450146, "train_loss": 3.149653269089669, "test_loss": 0.8503176507850488, "test_acc1": 79.57000255279542, "test_acc5": 95.2200025970459, "epoch": 164, "n_parameters": 56070952} -{"train_lr": 0.00043268890086160794, "train_loss": 3.139812057395633, "test_loss": 0.8428316712379456, "test_acc1": 79.99000252410889, "test_acc5": 95.30800259643554, "epoch": 165, "n_parameters": 56070952} -{"train_lr": 0.00042756493980507503, "train_loss": 3.1410607844352914, "test_loss": 0.8399873967423583, "test_acc1": 79.75600270202636, "test_acc5": 95.27000250579835, "epoch": 166, "n_parameters": 56070952} -{"train_lr": 0.0004224494703755201, "train_loss": 3.1307826665498846, "test_loss": 0.8426862631106016, "test_acc1": 79.9700024041748, "test_acc5": 95.24400259094239, "epoch": 167, "n_parameters": 56070952} -{"train_lr": 0.00041734305354179923, "train_loss": 3.120154113851958, "test_loss": 0.84976992349733, "test_acc1": 79.95800262329101, "test_acc5": 95.26600252868653, "epoch": 168, "n_parameters": 56070952} -{"train_lr": 0.0004122462492800569, "train_loss": 3.123477970953468, "test_loss": 0.845317614349452, "test_acc1": 80.1120025402832, "test_acc5": 95.25800259277344, "epoch": 169, "n_parameters": 56070952} -{"train_lr": 0.0004071596165123325, "train_loss": 3.11729579545754, "test_loss": 0.8459008680374334, "test_acc1": 80.2580024053955, "test_acc5": 95.30200239227295, "epoch": 170, "n_parameters": 56070952} -{"train_lr": 0.0004020837130452182, "train_loss": 3.118867802736666, "test_loss": 0.8275148661976511, "test_acc1": 80.09800244476318, "test_acc5": 95.30600246673583, "epoch": 171, "n_parameters": 56070952} -{"train_lr": 0.00039701909550871056, "train_loss": 3.10233870040265, "test_loss": 0.8286344240786452, "test_acc1": 80.07200234680175, "test_acc5": 95.32200246765137, "epoch": 172, "n_parameters": 56070952} -{"train_lr": 0.0003919663192952229, "train_loss": 3.108978722485707, "test_loss": 0.847097926744909, "test_acc1": 80.03000269104004, "test_acc5": 95.31400240966796, "epoch": 173, "n_parameters": 56070952} -{"train_lr": 0.00038692593849859734, "train_loss": 3.0977686179651442, "test_loss": 0.8301355152419119, "test_acc1": 80.3280025289917, "test_acc5": 95.43800256958008, "epoch": 174, "n_parameters": 56070952} -{"train_lr": 0.0003818985058534034, "train_loss": 3.096816224279068, "test_loss": 0.8355679859717687, "test_acc1": 80.02400212707519, "test_acc5": 95.32000239624024, "epoch": 175, "n_parameters": 56070952} -{"train_lr": 0.0003768845726742596, "train_loss": 3.0963809411707732, "test_loss": 0.8494428865837328, "test_acc1": 79.97200266357422, "test_acc5": 95.40200225036621, "epoch": 176, "n_parameters": 56070952} -{"train_lr": 0.0003718846887954506, "train_loss": 3.0839447200679473, "test_loss": 0.8504549783061851, "test_acc1": 80.15400262176513, "test_acc5": 95.42200274810791, "epoch": 177, "n_parameters": 56070952} -{"train_lr": 0.00036689940251057154, "train_loss": 3.082133933913698, "test_loss": 0.829283323477615, "test_acc1": 80.27800251190186, "test_acc5": 95.3660026727295, "epoch": 178, "n_parameters": 56070952} -{"train_lr": 0.0003619292605124837, "train_loss": 3.0790626125441465, "test_loss": 0.8226720094680786, "test_acc1": 80.3220026147461, "test_acc5": 95.49600253356934, "epoch": 179, "n_parameters": 56070952} -{"train_lr": 0.0003569748078332423, "train_loss": 3.0693501767566165, "test_loss": 0.8357239756168742, "test_acc1": 80.18400249694824, "test_acc5": 95.38800242248536, "epoch": 180, "n_parameters": 56070952} -{"train_lr": 0.00035203658778439235, "train_loss": 3.0720580472386807, "test_loss": 0.8170333316154552, "test_acc1": 80.53800251281739, "test_acc5": 95.54000243225097, "epoch": 181, "n_parameters": 56070952} -{"train_lr": 0.0003471151418974503, "train_loss": 3.067286796992917, "test_loss": 0.8286292083335646, "test_acc1": 80.37600273864746, "test_acc5": 95.47600255798339, "epoch": 182, "n_parameters": 56070952} -{"train_lr": 0.0003422110098644085, "train_loss": 3.0577770045263875, "test_loss": 0.8285564750884519, "test_acc1": 80.44200240875244, "test_acc5": 95.41800270111084, "epoch": 183, "n_parameters": 56070952} -{"train_lr": 0.0003373247294785742, "train_loss": 3.0570543127999508, "test_loss": 0.8301158477411126, "test_acc1": 80.41600272155762, "test_acc5": 95.4980026574707, "epoch": 184, "n_parameters": 56070952} -{"train_lr": 0.0003324568365756944, "train_loss": 3.0515996816632844, "test_loss": 0.8166092076536381, "test_acc1": 80.63000278625488, "test_acc5": 95.43600250915527, "epoch": 185, "n_parameters": 56070952} -{"train_lr": 0.00032760786497508304, "train_loss": 3.045415342056589, "test_loss": 0.8118706950635621, "test_acc1": 80.5580026034546, "test_acc5": 95.61800251800537, "epoch": 186, "n_parameters": 56070952} -{"train_lr": 0.00032277834642108216, "train_loss": 3.047930052669214, "test_loss": 0.8291502897486542, "test_acc1": 80.49600260986328, "test_acc5": 95.62800252441406, "epoch": 187, "n_parameters": 56070952} -{"train_lr": 0.00031796881052486697, "train_loss": 3.034093521029162, "test_loss": 0.8260699270123785, "test_acc1": 80.42200257598877, "test_acc5": 95.50800255981446, "epoch": 188, "n_parameters": 56070952} -{"train_lr": 0.0003131797847062025, "train_loss": 3.0248763621401347, "test_loss": 0.8180900677812822, "test_acc1": 80.73200235992432, "test_acc5": 95.55400274078369, "epoch": 189, "n_parameters": 56070952} -{"train_lr": 0.0003084117941357799, "train_loss": 3.032289361948971, "test_loss": 0.8009802886482441, "test_acc1": 80.66800247894287, "test_acc5": 95.73600262542725, "epoch": 190, "n_parameters": 56070952} -{"train_lr": 0.00030366536167747524, "train_loss": 3.0245477047850855, "test_loss": 0.804786716446732, "test_acc1": 80.77000238647462, "test_acc5": 95.60000268829346, "epoch": 191, "n_parameters": 56070952} -{"train_lr": 0.00029894100783110664, "train_loss": 3.017127878815055, "test_loss": 0.7955175413552559, "test_acc1": 80.8380025341797, "test_acc5": 95.61400251373291, "epoch": 192, "n_parameters": 56070952} -{"train_lr": 0.0002942392506752879, "train_loss": 3.016673184520335, "test_loss": 0.8134104906383789, "test_acc1": 80.9060026235962, "test_acc5": 95.6780024835205, "epoch": 193, "n_parameters": 56070952} -{"train_lr": 0.0002895606058107011, "train_loss": 2.998801116415446, "test_loss": 0.8089020893429265, "test_acc1": 80.81400252502442, "test_acc5": 95.81200249145508, "epoch": 194, "n_parameters": 56070952} -{"train_lr": 0.0002849055863034561, "train_loss": 3.002177794667171, "test_loss": 0.807572512125427, "test_acc1": 80.89000261505127, "test_acc5": 95.67000250213623, "epoch": 195, "n_parameters": 56070952} -{"train_lr": 0.0002802747026289244, "train_loss": 3.0013814896916884, "test_loss": 0.8063876440353466, "test_acc1": 80.99000267547608, "test_acc5": 95.71000251373292, "epoch": 196, "n_parameters": 56070952} -{"train_lr": 0.00027566846261567343, "train_loss": 2.990511918263279, "test_loss": 0.804693924206676, "test_acc1": 80.93000243377685, "test_acc5": 95.75400263244629, "epoch": 197, "n_parameters": 56070952} -{"train_lr": 0.00027108737138981483, "train_loss": 2.989730790412302, "test_loss": 0.7985247580165212, "test_acc1": 81.1600023727417, "test_acc5": 95.75600258178711, "epoch": 198, "n_parameters": 56070952} -{"train_lr": 0.00026653193131964784, "train_loss": 2.979243380083836, "test_loss": 0.7914687986626769, "test_acc1": 81.06000265136718, "test_acc5": 95.77400259796143, "epoch": 199, "n_parameters": 56070952} -{"train_lr": 0.00026200264196050673, "train_loss": 2.9754572892241438, "test_loss": 0.8018219396471977, "test_acc1": 81.09600257019044, "test_acc5": 95.71800246582032, "epoch": 200, "n_parameters": 56070952} -{"train_lr": 0.00025750000000000143, "train_loss": 2.972578224506405, "test_loss": 0.7913290472193197, "test_acc1": 81.214002444458, "test_acc5": 95.77000264678955, "epoch": 201, "n_parameters": 56070952} -{"train_lr": 0.0002530244992035622, "train_loss": 2.9660172176947124, "test_loss": 0.7866711479922136, "test_acc1": 81.25400220062257, "test_acc5": 95.77200252441406, "epoch": 202, "n_parameters": 56070952} -{"train_lr": 0.00024857663036030185, "train_loss": 2.9640550345396823, "test_loss": 0.7900073941458355, "test_acc1": 81.2280026361084, "test_acc5": 95.82800251617432, "epoch": 203, "n_parameters": 56070952} -{"train_lr": 0.00024415688122914167, "train_loss": 2.9630046995947783, "test_loss": 0.7932005460289392, "test_acc1": 81.27000280517578, "test_acc5": 95.78000257873535, "epoch": 204, "n_parameters": 56070952} -{"train_lr": 0.00023976573648539732, "train_loss": 2.9496871208329853, "test_loss": 0.7825584116984498, "test_acc1": 81.31600248718262, "test_acc5": 95.7300026727295, "epoch": 205, "n_parameters": 56070952} -{"train_lr": 0.0002354036776675575, "train_loss": 2.9464475612083882, "test_loss": 0.7789328076848478, "test_acc1": 81.49200241882325, "test_acc5": 95.89200251556396, "epoch": 206, "n_parameters": 56070952} -{"train_lr": 0.00023107118312454297, "train_loss": 2.9437519402312433, "test_loss": 0.7793273591633999, "test_acc1": 81.54000238708497, "test_acc5": 95.88000246459961, "epoch": 207, "n_parameters": 56070952} -{"train_lr": 0.00022676872796319747, "train_loss": 2.934022049383103, "test_loss": 0.7843213464048776, "test_acc1": 81.40200240142822, "test_acc5": 95.85200262786866, "epoch": 208, "n_parameters": 56070952} -{"train_lr": 0.00022249678399621184, "train_loss": 2.9326154862304956, "test_loss": 0.7751616857042818, "test_acc1": 81.53000269042968, "test_acc5": 95.96200236907958, "epoch": 209, "n_parameters": 56070952} -{"train_lr": 0.00021825581969037202, "train_loss": 2.931310072124338, "test_loss": 0.7831251806381977, "test_acc1": 81.42600238586425, "test_acc5": 95.82200242523193, "epoch": 210, "n_parameters": 56070952} -{"train_lr": 0.0002140463001152288, "train_loss": 2.9229983426422046, "test_loss": 0.7941515902903947, "test_acc1": 81.4620024472046, "test_acc5": 95.87000246032714, "epoch": 211, "n_parameters": 56070952} -{"train_lr": 0.00020986868689201908, "train_loss": 2.914120892266766, "test_loss": 0.7868272675709291, "test_acc1": 81.61600253143311, "test_acc5": 96.0000026272583, "epoch": 212, "n_parameters": 56070952} -{"train_lr": 0.00020572343814312388, "train_loss": 2.915773392450228, "test_loss": 0.7805313039006609, "test_acc1": 81.62000247039795, "test_acc5": 95.88400249237061, "epoch": 213, "n_parameters": 56070952} -{"train_lr": 0.00020161100844177222, "train_loss": 2.9077229225973813, "test_loss": 0.7739224447445436, "test_acc1": 81.61000231842041, "test_acc5": 95.96600254211425, "epoch": 214, "n_parameters": 56070952} -{"train_lr": 0.0001975318487622333, "train_loss": 2.9062625741739447, "test_loss": 0.7735305958512154, "test_acc1": 81.59800252441406, "test_acc5": 96.04000259735108, "epoch": 215, "n_parameters": 56070952} -{"train_lr": 0.0001934864064303279, "train_loss": 2.898448621638292, "test_loss": 0.769355979832736, "test_acc1": 81.83600229553223, "test_acc5": 96.0160023840332, "epoch": 216, "n_parameters": 56070952} -{"train_lr": 0.00018947512507439562, "train_loss": 2.8949642553508617, "test_loss": 0.7829709912114071, "test_acc1": 81.55400262298583, "test_acc5": 95.94800263824463, "epoch": 217, "n_parameters": 56070952} -{"train_lr": 0.00018549844457663907, "train_loss": 2.8893713597699606, "test_loss": 0.7711216621100903, "test_acc1": 81.92200234161378, "test_acc5": 95.89800268676758, "epoch": 218, "n_parameters": 56070952} -{"train_lr": 0.00018155680102489234, "train_loss": 2.884122284910948, "test_loss": 0.7746086452494968, "test_acc1": 81.80800268188476, "test_acc5": 95.92800261932373, "epoch": 219, "n_parameters": 56070952} -{"train_lr": 0.00017765062666479713, "train_loss": 2.878383670338719, "test_loss": 0.7765329091837911, "test_acc1": 81.75400250244141, "test_acc5": 96.04000269744873, "epoch": 220, "n_parameters": 56070952} -{"train_lr": 0.0001737803498523614, "train_loss": 2.867994378189103, "test_loss": 0.7671927985819903, "test_acc1": 81.84800237548828, "test_acc5": 96.0340027053833, "epoch": 221, "n_parameters": 56070952} -{"train_lr": 0.0001699463950070852, "train_loss": 2.8667516705157947, "test_loss": 0.7583813311137033, "test_acc1": 81.95400223602294, "test_acc5": 95.97600263946534, "epoch": 222, "n_parameters": 56070952} -{"train_lr": 0.00016614918256530037, "train_loss": 2.8586740980355096, "test_loss": 0.7619239760732109, "test_acc1": 81.90600259094238, "test_acc5": 96.00000235565186, "epoch": 223, "n_parameters": 56070952} -{"train_lr": 0.0001623891289341519, "train_loss": 2.8545683066931655, "test_loss": 0.7667492199124712, "test_acc1": 81.94600234161376, "test_acc5": 96.03000265045166, "epoch": 224, "n_parameters": 56070952} -{"train_lr": 0.00015866664644587948, "train_loss": 2.8500646068323716, "test_loss": 0.7676638614837871, "test_acc1": 81.82200278411865, "test_acc5": 96.11200252075196, "epoch": 225, "n_parameters": 56070952} -{"train_lr": 0.00015498214331266302, "train_loss": 2.8527860859696337, "test_loss": 0.7672599515680111, "test_acc1": 81.98600264007568, "test_acc5": 96.12400268951416, "epoch": 226, "n_parameters": 56070952} -{"train_lr": 0.00015133602358175863, "train_loss": 2.8453603652622297, "test_loss": 0.7716687399555336, "test_acc1": 81.9920025366211, "test_acc5": 96.05200264495849, "epoch": 227, "n_parameters": 56070952} -{"train_lr": 0.00014772868709131358, "train_loss": 2.836929890487215, "test_loss": 0.7708610697000315, "test_acc1": 81.9360024685669, "test_acc5": 96.03800255645751, "epoch": 228, "n_parameters": 56070952} -{"train_lr": 0.00014416052942639815, "train_loss": 2.831334887970266, "test_loss": 0.752284475743319, "test_acc1": 82.10000264801026, "test_acc5": 96.10000235717773, "epoch": 229, "n_parameters": 56070952} -{"train_lr": 0.0001406319418757283, "train_loss": 2.8201824642485565, "test_loss": 0.7710969260696209, "test_acc1": 82.03000245819092, "test_acc5": 96.09400236816407, "epoch": 230, "n_parameters": 56070952} -{"train_lr": 0.00013714331138869076, "train_loss": 2.824247148349512, "test_loss": 0.7644383419643749, "test_acc1": 82.11000255004883, "test_acc5": 96.06400261749268, "epoch": 231, "n_parameters": 56070952} -{"train_lr": 0.00013369502053292505, "train_loss": 2.8132973120128697, "test_loss": 0.7680967894918991, "test_acc1": 81.98800250152588, "test_acc5": 96.1560023840332, "epoch": 232, "n_parameters": 56070952} -{"train_lr": 0.00013028744745238475, "train_loss": 2.8147577189451023, "test_loss": 0.7647389043686967, "test_acc1": 82.24400234497071, "test_acc5": 96.14800252868652, "epoch": 233, "n_parameters": 56070952} -{"train_lr": 0.0001269209658258495, "train_loss": 2.8075021827082742, "test_loss": 0.7567278663204475, "test_acc1": 82.08400266998291, "test_acc5": 96.07800233337403, "epoch": 234, "n_parameters": 56070952} -{"train_lr": 0.0001235959448259827, "train_loss": 2.798563458138614, "test_loss": 0.7524392242458734, "test_acc1": 82.32400266906738, "test_acc5": 96.15200243713379, "epoch": 235, "n_parameters": 56070952} -{"train_lr": 0.00012031274907879949, "train_loss": 2.7973700450550165, "test_loss": 0.750975438252543, "test_acc1": 82.23000223968506, "test_acc5": 96.18600249603271, "epoch": 236, "n_parameters": 56070952} -{"train_lr": 0.00011707173862371172, "train_loss": 2.78757082393987, "test_loss": 0.7576717466793277, "test_acc1": 82.37600252990723, "test_acc5": 96.21400232971192, "epoch": 237, "n_parameters": 56070952} -{"train_lr": 0.00011387326887403272, "train_loss": 2.790752254932714, "test_loss": 0.7554708168362126, "test_acc1": 82.26000242553711, "test_acc5": 96.17800260864257, "epoch": 238, "n_parameters": 56070952} -{"train_lr": 0.00011071769057802179, "train_loss": 2.7840405176464413, "test_loss": 0.7498945511425986, "test_acc1": 82.27000244354248, "test_acc5": 96.152002444458, "epoch": 239, "n_parameters": 56070952} -{"train_lr": 0.00010760534978039747, "train_loss": 2.7790981782711954, "test_loss": 0.7571528478328026, "test_acc1": 82.42400252716064, "test_acc5": 96.09800236572265, "epoch": 240, "n_parameters": 56070952} -{"train_lr": 0.00010453658778440302, "train_loss": 2.7665026620042314, "test_loss": 0.7550636478558634, "test_acc1": 82.34400237365723, "test_acc5": 96.14600236358642, "epoch": 241, "n_parameters": 56070952} -{"train_lr": 0.0001015117411143637, "train_loss": 2.7641616145865044, "test_loss": 0.7548596019094641, "test_acc1": 82.40600264587403, "test_acc5": 96.16000253479004, "epoch": 242, "n_parameters": 56070952} -{"train_lr": 9.853114147881454e-05, "train_loss": 2.7548769437294784, "test_loss": 0.7469516132365573, "test_acc1": 82.4680025680542, "test_acc5": 96.2100027456665, "epoch": 243, "n_parameters": 56070952} -{"train_lr": 9.559511573409267e-05, "train_loss": 2.7538174738605723, "test_loss": 0.7523915106712868, "test_acc1": 82.49800253753662, "test_acc5": 96.23400264068603, "epoch": 244, "n_parameters": 56070952} -{"train_lr": 9.270398584849976e-05, "train_loss": 2.7464293577640557, "test_loss": 0.7577021610782002, "test_acc1": 82.48600258117676, "test_acc5": 96.28600267425537, "epoch": 245, "n_parameters": 56070952} -{"train_lr": 8.985806886701763e-05, "train_loss": 2.7427605736455756, "test_loss": 0.7533990758838076, "test_acc1": 82.40200253173828, "test_acc5": 96.11400262542725, "epoch": 246, "n_parameters": 56070952} -{"train_lr": 8.705767687650155e-05, "train_loss": 2.7361567075923383, "test_loss": 0.7481333966169393, "test_acc1": 82.37600252166747, "test_acc5": 96.2540023361206, "epoch": 247, "n_parameters": 56070952} -{"train_lr": 8.430311697149993e-05, "train_loss": 2.7407939947790187, "test_loss": 0.7443797689382777, "test_acc1": 82.51400248565673, "test_acc5": 96.23400244262696, "epoch": 248, "n_parameters": 56070952} -{"train_lr": 8.159469122054745e-05, "train_loss": 2.73135782530506, "test_loss": 0.7508283981093855, "test_acc1": 82.55400243652343, "test_acc5": 96.21600261016846, "epoch": 249, "n_parameters": 56070952} -{"train_lr": 7.893269663304691e-05, "train_loss": 2.72858430477355, "test_loss": 0.7506399320043398, "test_acc1": 82.63600236755371, "test_acc5": 96.27400272583007, "epoch": 250, "n_parameters": 56070952} -{"train_lr": 7.631742512670381e-05, "train_loss": 2.717930794560271, "test_loss": 0.7400877168119857, "test_acc1": 82.64800253143311, "test_acc5": 96.27000252441407, "epoch": 251, "n_parameters": 56070952} -{"train_lr": 7.37491634955067e-05, "train_loss": 2.712414977183159, "test_loss": 0.7400129201511542, "test_acc1": 82.56200258666992, "test_acc5": 96.26000257659912, "epoch": 252, "n_parameters": 56070952} -{"train_lr": 7.122819337828824e-05, "train_loss": 2.7095617338907805, "test_loss": 0.7448844117761562, "test_acc1": 82.57800262176514, "test_acc5": 96.2080023236084, "epoch": 253, "n_parameters": 56070952} -{"train_lr": 6.875479122782832e-05, "train_loss": 2.700247832256065, "test_loss": 0.7396176216390097, "test_acc1": 82.68000247467042, "test_acc5": 96.2520025466919, "epoch": 254, "n_parameters": 56070952} -{"train_lr": 6.632922828055003e-05, "train_loss": 2.706891934672515, "test_loss": 0.7481152156763005, "test_acc1": 82.65400248016357, "test_acc5": 96.23800263183594, "epoch": 255, "n_parameters": 56070952} -{"train_lr": 6.395177052675899e-05, "train_loss": 2.702373117518177, "test_loss": 0.7496705095876347, "test_acc1": 82.62600254364014, "test_acc5": 96.23000250488282, "epoch": 256, "n_parameters": 56070952} -{"train_lr": 6.162267868149164e-05, "train_loss": 2.699609562099504, "test_loss": 0.7435607237910683, "test_acc1": 82.59400254577636, "test_acc5": 96.2900023562622, "epoch": 257, "n_parameters": 56070952} -{"train_lr": 5.934220815591336e-05, "train_loss": 2.689179568398866, "test_loss": 0.7418160820662072, "test_acc1": 82.74400253967285, "test_acc5": 96.25200250915528, "epoch": 258, "n_parameters": 56070952} -{"train_lr": 5.7110609029320316e-05, "train_loss": 2.6849243792174438, "test_loss": 0.7441102589170138, "test_acc1": 82.73000220947266, "test_acc5": 96.33000278289795, "epoch": 259, "n_parameters": 56070952} -{"train_lr": 5.492812602170232e-05, "train_loss": 2.682361481977786, "test_loss": 0.7374375430359081, "test_acc1": 82.76400256469726, "test_acc5": 96.23800256622314, "epoch": 260, "n_parameters": 56070952} -{"train_lr": 5.2794998466913834e-05, "train_loss": 2.687717461352535, "test_loss": 0.7369609669866887, "test_acc1": 82.67800263671874, "test_acc5": 96.21400255004883, "epoch": 261, "n_parameters": 56070952} -{"train_lr": 5.0711460286429e-05, "train_loss": 2.675093746287741, "test_loss": 0.7453662734478712, "test_acc1": 82.75200254333497, "test_acc5": 96.27400252075195, "epoch": 262, "n_parameters": 56070952} -{"train_lr": 4.8677739963691566e-05, "train_loss": 2.6772173692901835, "test_loss": 0.7439215492005601, "test_acc1": 82.83000246276856, "test_acc5": 96.29400253753663, "epoch": 263, "n_parameters": 56070952} -{"train_lr": 4.669406051905346e-05, "train_loss": 2.664038314831724, "test_loss": 0.7350224565263047, "test_acc1": 82.7740026348877, "test_acc5": 96.30600225982666, "epoch": 264, "n_parameters": 56070952} -{"train_lr": 4.476063948531632e-05, "train_loss": 2.666462331891155, "test_loss": 0.7443909993903204, "test_acc1": 82.74600269775391, "test_acc5": 96.16200245849609, "epoch": 265, "n_parameters": 56070952} -{"train_lr": 4.287768888388454e-05, "train_loss": 2.6616965968140978, "test_loss": 0.7401393189123182, "test_acc1": 82.62600224945068, "test_acc5": 96.28600261871338, "epoch": 266, "n_parameters": 56070952} -{"train_lr": 4.1045415201513915e-05, "train_loss": 2.654816916199039, "test_loss": 0.7432932548902251, "test_acc1": 82.71400248291016, "test_acc5": 96.2740026965332, "epoch": 267, "n_parameters": 56070952} -{"train_lr": 3.926401936765786e-05, "train_loss": 2.6548557288164525, "test_loss": 0.7383161848128745, "test_acc1": 82.86400256988526, "test_acc5": 96.24400286621093, "epoch": 268, "n_parameters": 56070952} -{"train_lr": 3.753369673244709e-05, "train_loss": 2.649063327246242, "test_loss": 0.741711231061455, "test_acc1": 82.8600024243164, "test_acc5": 96.29800277832031, "epoch": 269, "n_parameters": 56070952} -{"train_lr": 3.585463704525412e-05, "train_loss": 2.6496511080758656, "test_loss": 0.7362119627156944, "test_acc1": 82.99600270202637, "test_acc5": 96.34000277130127, "epoch": 270, "n_parameters": 56070952} -{"train_lr": 3.4227024433899046e-05, "train_loss": 2.635508373212948, "test_loss": 0.7359987648034637, "test_acc1": 82.84200226196289, "test_acc5": 96.25200259094238, "epoch": 271, "n_parameters": 56070952} -{"train_lr": 3.2651037384443736e-05, "train_loss": 2.6370228260374375, "test_loss": 0.7340327239962239, "test_acc1": 82.904002527771, "test_acc5": 96.26800266723633, "epoch": 272, "n_parameters": 56070952} -{"train_lr": 3.112684872162703e-05, "train_loss": 2.6393784415617074, "test_loss": 0.7326804089613936, "test_acc1": 82.92600266662598, "test_acc5": 96.33600267700196, "epoch": 273, "n_parameters": 56070952} -{"train_lr": 2.9654625589913e-05, "train_loss": 2.6372357428693274, "test_loss": 0.7394558463922956, "test_acc1": 82.9340024206543, "test_acc5": 96.2720024533081, "epoch": 274, "n_parameters": 56070952} -{"train_lr": 2.8234529435159726e-05, "train_loss": 2.633075375708459, "test_loss": 0.734818612987345, "test_acc1": 83.05600262237549, "test_acc5": 96.30400250854493, "epoch": 275, "n_parameters": 56070952} -{"train_lr": 2.686671598691151e-05, "train_loss": 2.6335917086862355, "test_loss": 0.7368482387427128, "test_acc1": 82.90400236724854, "test_acc5": 96.27400263183594, "epoch": 276, "n_parameters": 56070952} -{"train_lr": 2.55513352413271e-05, "train_loss": 2.6304516721424536, "test_loss": 0.7402567302413059, "test_acc1": 82.94400233093262, "test_acc5": 96.30200247039795, "epoch": 277, "n_parameters": 56070952} -{"train_lr": 2.4288531444729954e-05, "train_loss": 2.6271474113424333, "test_loss": 0.7325898119333115, "test_acc1": 83.09400235046387, "test_acc5": 96.31800258392335, "epoch": 278, "n_parameters": 56070952} -{"train_lr": 2.3078443077785567e-05, "train_loss": 2.6223523878841566, "test_loss": 0.7395653202565331, "test_acc1": 82.93200255645752, "test_acc5": 96.31000280761718, "epoch": 279, "n_parameters": 56070952} -{"train_lr": 2.192120284031953e-05, "train_loss": 2.612145275139599, "test_loss": 0.7391995416784828, "test_acc1": 82.83800239013672, "test_acc5": 96.29800259033203, "epoch": 280, "n_parameters": 56070952} -{"train_lr": 2.0816937636766537e-05, "train_loss": 2.619359881984149, "test_loss": 0.7348147174625685, "test_acc1": 82.87800271972657, "test_acc5": 96.34000272979736, "epoch": 281, "n_parameters": 56070952} -{"train_lr": 1.976576856224742e-05, "train_loss": 2.6181795940005617, "test_loss": 0.7338652311062271, "test_acc1": 82.96000260742187, "test_acc5": 96.33600258300781, "epoch": 282, "n_parameters": 56070952} -{"train_lr": 1.8767810889299472e-05, "train_loss": 2.611078620969439, "test_loss": 0.7363009058277715, "test_acc1": 82.98200239959716, "test_acc5": 96.2940028567505, "epoch": 283, "n_parameters": 56070952} -{"train_lr": 1.7823174055225238e-05, "train_loss": 2.604339568330039, "test_loss": 0.7359389472527035, "test_acc1": 82.99000251647949, "test_acc5": 96.31600264801025, "epoch": 284, "n_parameters": 56070952} -{"train_lr": 1.6931961650100128e-05, "train_loss": 2.6046107264874365, "test_loss": 0.7356147242879326, "test_acc1": 83.00000260253907, "test_acc5": 96.29800253173828, "epoch": 285, "n_parameters": 56070952} -{"train_lr": 1.609427140540658e-05, "train_loss": 2.6034816463621593, "test_loss": 0.7355251102849389, "test_acc1": 83.03400240478516, "test_acc5": 96.30000251129151, "epoch": 286, "n_parameters": 56070952} -{"train_lr": 1.5310195183320784e-05, "train_loss": 2.602115084810985, "test_loss": 0.7390138900302576, "test_acc1": 82.92400239196778, "test_acc5": 96.28400247650147, "epoch": 287, "n_parameters": 56070952} -{"train_lr": 1.4579818966635116e-05, "train_loss": 2.59972466284232, "test_loss": 0.7363484091492314, "test_acc1": 83.04000255828858, "test_acc5": 96.32000309783936, "epoch": 288, "n_parameters": 56070952} -{"train_lr": 1.3903222849333426e-05, "train_loss": 2.597027788738267, "test_loss": 0.7356535971277591, "test_acc1": 83.07000251281738, "test_acc5": 96.31800261322022, "epoch": 289, "n_parameters": 56070952} -{"train_lr": 1.3280481027803718e-05, "train_loss": 2.60242959320974, "test_loss": 0.7384665112829569, "test_acc1": 83.07600269561767, "test_acc5": 96.3240027294922, "epoch": 290, "n_parameters": 56070952} -{"train_lr": 1.2711661792704427e-05, "train_loss": 2.5954988421820144, "test_loss": 0.7383947274788762, "test_acc1": 83.01000248565674, "test_acc5": 96.32600262298584, "epoch": 291, "n_parameters": 56070952} -{"train_lr": 1.2196827521475628e-05, "train_loss": 2.5886784913323577, "test_loss": 0.7346770769041596, "test_acc1": 83.04200270660401, "test_acc5": 96.30200265136719, "epoch": 292, "n_parameters": 56070952} -{"train_lr": 1.1736034671495227e-05, "train_loss": 2.5890505638101593, "test_loss": 0.7351158541824782, "test_acc1": 83.05800249755859, "test_acc5": 96.32400268798828, "epoch": 293, "n_parameters": 56070952} -{"train_lr": 1.1329333773893123e-05, "train_loss": 2.589422369413048, "test_loss": 0.7353222288304206, "test_acc1": 83.03800243560791, "test_acc5": 96.3220026550293, "epoch": 294, "n_parameters": 56070952} -{"train_lr": 1.0976769428005425e-05, "train_loss": 2.591457188212805, "test_loss": 0.7361843993492199, "test_acc1": 83.03200256866455, "test_acc5": 96.2920025378418, "epoch": 295, "n_parameters": 56070952} -{"train_lr": 1.067838029648576e-05, "train_loss": 2.58938848312429, "test_loss": 0.7370702390079246, "test_acc1": 82.99000250396729, "test_acc5": 96.30800263122559, "epoch": 296, "n_parameters": 56070952} -{"train_lr": 1.0434199101065238e-05, "train_loss": 2.590503379881239, "test_loss": 0.7373195072128014, "test_acc1": 83.02800247650147, "test_acc5": 96.32200250762939, "epoch": 297, "n_parameters": 56070952} -{"train_lr": 1.0244252618963044e-05, "train_loss": 2.586431997904865, "test_loss": 0.7354221188773712, "test_acc1": 83.16000232391357, "test_acc5": 96.36000257598877, "epoch": 298, "n_parameters": 56070952} -{"train_lr": 1.0108561679951307e-05, "train_loss": 2.584265798747206, "test_loss": 0.7361404255145427, "test_acc1": 83.0360026550293, "test_acc5": 96.33600267791748, "epoch": 299, "n_parameters": 56070952} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt deleted file mode 100644 index c666638e7..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_l.txt +++ /dev/null @@ -1,300 +0,0 @@ -{"train_lr": 9.999999999999953e-07, "train_loss": 6.928760515843078, "test_loss": 6.824962336005586, "test_acc1": 0.4540000193309784, "test_acc5": 1.9660000773239135, "epoch": 0, "n_parameters": 99271400} -{"train_lr": 9.999999999999953e-07, "train_loss": 6.897234051776447, "test_loss": 6.7699562654350744, "test_acc1": 0.526000022392273, "test_acc5": 2.3820000844955445, "epoch": 1, "n_parameters": 99271400} -{"train_lr": 5.0950000000000534e-05, "train_loss": 6.7420130617422265, "test_loss": 6.018134153250492, "test_acc1": 3.030000091934204, "test_acc5": 10.162000326004028, "epoch": 2, "n_parameters": 99271400} -{"train_lr": 0.00010090000000000069, "train_loss": 6.4999226873917735, "test_loss": 5.416668476480426, "test_acc1": 6.672000200805664, "test_acc5": 19.508000617523194, "epoch": 3, "n_parameters": 99271400} -{"train_lr": 0.0001508500000000009, "train_loss": 6.281763930400785, "test_loss": 4.713242413419666, "test_acc1": 13.634000410461425, "test_acc5": 31.800000856018066, "epoch": 4, "n_parameters": 99271400} -{"train_lr": 0.00020080000000000092, "train_loss": 6.049766719960671, "test_loss": 4.09996968869007, "test_acc1": 20.56000051803589, "test_acc5": 42.95600104019165, "epoch": 5, "n_parameters": 99271400} -{"train_lr": 0.0002507500000000009, "train_loss": 5.830141125203704, "test_loss": 3.58018564545747, "test_acc1": 27.346000779724122, "test_acc5": 52.00800145172119, "epoch": 6, "n_parameters": 99271400} -{"train_lr": 0.00030069999999999164, "train_loss": 5.607594518448047, "test_loss": 3.1222982718185945, "test_acc1": 34.31000096343994, "test_acc5": 60.0980016696167, "epoch": 7, "n_parameters": 99271400} -{"train_lr": 0.0003506500000000049, "train_loss": 5.426840302850798, "test_loss": 2.8445870090614664, "test_acc1": 39.4720010647583, "test_acc5": 65.79000179901124, "epoch": 8, "n_parameters": 99271400} -{"train_lr": 0.000400599999999987, "train_loss": 5.268911474471469, "test_loss": 2.58816225510655, "test_acc1": 43.67000117919922, "test_acc5": 69.96400200195312, "epoch": 9, "n_parameters": 99271400} -{"train_lr": 0.00045055000000000117, "train_loss": 5.124358480878109, "test_loss": 2.4426551799882543, "test_acc1": 47.250001272735595, "test_acc5": 73.01200247406005, "epoch": 10, "n_parameters": 99271400} -{"train_lr": 0.0005005000000000065, "train_loss": 4.991296570244834, "test_loss": 2.288726020039934, "test_acc1": 50.258001329040525, "test_acc5": 75.98200247802734, "epoch": 11, "n_parameters": 99271400} -{"train_lr": 0.0005504499999999883, "train_loss": 4.893125669680816, "test_loss": 2.14928955562187, "test_acc1": 52.7360013949585, "test_acc5": 78.12400245971679, "epoch": 12, "n_parameters": 99271400} -{"train_lr": 0.0006003999999999824, "train_loss": 4.779648667378582, "test_loss": 2.008219679648226, "test_acc1": 54.808001581115725, "test_acc5": 79.66400255889893, "epoch": 13, "n_parameters": 99271400} -{"train_lr": 0.0006503500000000137, "train_loss": 4.702303332199962, "test_loss": 1.9424930941877943, "test_acc1": 56.70000157196045, "test_acc5": 81.37000258575439, "epoch": 14, "n_parameters": 99271400} -{"train_lr": 0.0007002999999999889, "train_loss": 4.620291352414971, "test_loss": 1.8686695367549404, "test_acc1": 57.91200165008545, "test_acc5": 82.31000299957276, "epoch": 15, "n_parameters": 99271400} -{"train_lr": 0.0007502499999999806, "train_loss": 4.550587804173585, "test_loss": 1.758577410921906, "test_acc1": 59.90600161560059, "test_acc5": 83.82200249359131, "epoch": 16, "n_parameters": 99271400} -{"train_lr": 0.0008002000000000078, "train_loss": 4.49574390844666, "test_loss": 1.7333977123101552, "test_acc1": 60.66000165222168, "test_acc5": 84.36000238250732, "epoch": 17, "n_parameters": 99271400} -{"train_lr": 0.0008501499999999947, "train_loss": 4.43440098282721, "test_loss": 1.661655767397447, "test_acc1": 61.736001785888675, "test_acc5": 85.09000255065918, "epoch": 18, "n_parameters": 99271400} -{"train_lr": 0.0009000999999999793, "train_loss": 4.3851636172675015, "test_loss": 1.6033145209605044, "test_acc1": 62.938001611938475, "test_acc5": 85.67600247131348, "epoch": 19, "n_parameters": 99271400} -{"train_lr": 0.0009500499999999992, "train_loss": 4.333516633744053, "test_loss": 1.634541380360271, "test_acc1": 63.48000175170898, "test_acc5": 86.18200238739014, "epoch": 20, "n_parameters": 99271400} -{"train_lr": 0.000989183062363242, "train_loss": 4.288024426793023, "test_loss": 1.5977263242909403, "test_acc1": 64.42800200408935, "test_acc5": 86.63400241210938, "epoch": 21, "n_parameters": 99271400} -{"train_lr": 0.0009880787971596754, "train_loss": 4.2344474753172845, "test_loss": 1.5248981750372685, "test_acc1": 65.57400197509766, "test_acc5": 87.4000026815796, "epoch": 22, "n_parameters": 99271400} -{"train_lr": 0.0009869215569222388, "train_loss": 4.1863440828595895, "test_loss": 1.475460198566769, "test_acc1": 66.560002036438, "test_acc5": 88.13400269104004, "epoch": 23, "n_parameters": 99271400} -{"train_lr": 0.000985711468555267, "train_loss": 4.145421564912529, "test_loss": 1.3947031836618076, "test_acc1": 67.17200190490723, "test_acc5": 88.64400254302979, "epoch": 24, "n_parameters": 99271400} -{"train_lr": 0.0009844486647586856, "train_loss": 4.097971142362729, "test_loss": 1.3875608884475448, "test_acc1": 67.79800208526612, "test_acc5": 88.98200231994629, "epoch": 25, "n_parameters": 99271400} -{"train_lr": 0.00098313328401311, "train_loss": 4.057268117686256, "test_loss": 1.3542503967429653, "test_acc1": 68.50800198944091, "test_acc5": 89.3300025338745, "epoch": 26, "n_parameters": 99271400} -{"train_lr": 0.0009817654705648337, "train_loss": 4.0188437361511395, "test_loss": 1.3526581507740598, "test_acc1": 68.96400212982178, "test_acc5": 89.4800026803589, "epoch": 27, "n_parameters": 99271400} -{"train_lr": 0.0009803453744100898, "train_loss": 3.991692518325542, "test_loss": 1.306684743274342, "test_acc1": 69.35600213714599, "test_acc5": 89.79400246185303, "epoch": 28, "n_parameters": 99271400} -{"train_lr": 0.0009788731512783825, "train_loss": 3.9575973870180587, "test_loss": 1.2891391705382953, "test_acc1": 69.76400212371826, "test_acc5": 90.09000278686523, "epoch": 29, "n_parameters": 99271400} -{"train_lr": 0.00097734896261555, "train_loss": 3.9229012939760346, "test_loss": 1.2678685181520202, "test_acc1": 70.29400211181641, "test_acc5": 90.39200256286621, "epoch": 30, "n_parameters": 99271400} -{"train_lr": 0.0009757729755660996, "train_loss": 3.9107936007751647, "test_loss": 1.238811174802708, "test_acc1": 70.50200232940674, "test_acc5": 90.48000243652343, "epoch": 31, "n_parameters": 99271400} -{"train_lr": 0.000974145362954742, "train_loss": 3.8830806486707607, "test_loss": 1.2345464990446062, "test_acc1": 71.11000225097656, "test_acc5": 90.99600257537841, "epoch": 32, "n_parameters": 99271400} -{"train_lr": 0.0009724663032675332, "train_loss": 3.859966681705867, "test_loss": 1.211002467482379, "test_acc1": 71.54400245666504, "test_acc5": 91.25600260009766, "epoch": 33, "n_parameters": 99271400} -{"train_lr": 0.000970735980632352, "train_loss": 3.841157132820736, "test_loss": 1.2056523994965986, "test_acc1": 71.58800243164063, "test_acc5": 91.21000230041504, "epoch": 34, "n_parameters": 99271400} -{"train_lr": 0.0009689545847984843, "train_loss": 3.8279712756665396, "test_loss": 1.204271144487641, "test_acc1": 71.83200237823486, "test_acc5": 91.17600255187989, "epoch": 35, "n_parameters": 99271400} -{"train_lr": 0.000967122311116087, "train_loss": 3.803732246660786, "test_loss": 1.177967329819997, "test_acc1": 71.97200230072022, "test_acc5": 91.48400245239257, "epoch": 36, "n_parameters": 99271400} -{"train_lr": 0.000965239360514694, "train_loss": 3.7898721539859865, "test_loss": 1.1626662381670692, "test_acc1": 72.65000234527588, "test_acc5": 91.82200269073486, "epoch": 37, "n_parameters": 99271400} -{"train_lr": 0.0009633059394809262, "train_loss": 3.7754830115323634, "test_loss": 1.1721334985711358, "test_acc1": 72.61600207611085, "test_acc5": 91.75000246368408, "epoch": 38, "n_parameters": 99271400} -{"train_lr": 0.0009613222600362934, "train_loss": 3.757657913900584, "test_loss": 1.1836929461269667, "test_acc1": 72.42000206268311, "test_acc5": 91.65400253845215, "epoch": 39, "n_parameters": 99271400} -{"train_lr": 0.0009592885397135909, "train_loss": 3.7423067250364213, "test_loss": 1.1313152518687826, "test_acc1": 73.28800234008789, "test_acc5": 91.9460024255371, "epoch": 40, "n_parameters": 99271400} -{"train_lr": 0.0009572050015330907, "train_loss": 3.7412334369669717, "test_loss": 1.1474762574741335, "test_acc1": 73.51400249664307, "test_acc5": 92.18800239105225, "epoch": 41, "n_parameters": 99271400} -{"train_lr": 0.0009550718739782929, "train_loss": 3.7118759863525272, "test_loss": 1.094067342014927, "test_acc1": 73.49600220031738, "test_acc5": 92.2640025265503, "epoch": 42, "n_parameters": 99271400} -{"train_lr": 0.0009528893909706948, "train_loss": 3.704448473658398, "test_loss": 1.1707148484208367, "test_acc1": 73.14200228729248, "test_acc5": 92.05400252044677, "epoch": 43, "n_parameters": 99271400} -{"train_lr": 0.0009506577918441058, "train_loss": 3.692796388952185, "test_loss": 1.091471901107015, "test_acc1": 73.76000268981933, "test_acc5": 92.47200249572754, "epoch": 44, "n_parameters": 99271400} -{"train_lr": 0.0009483773213185082, "train_loss": 3.67974077549865, "test_loss": 1.1118121847058788, "test_acc1": 74.05200222015381, "test_acc5": 92.32400242248535, "epoch": 45, "n_parameters": 99271400} -{"train_lr": 0.0009460482294732177, "train_loss": 3.6795907001987063, "test_loss": 1.0820177188425353, "test_acc1": 74.06000256011963, "test_acc5": 92.65200250152589, "epoch": 46, "n_parameters": 99271400} -{"train_lr": 0.000943670771719436, "train_loss": 3.6646829414948954, "test_loss": 1.0933165078361828, "test_acc1": 74.33800246154784, "test_acc5": 92.52800250427246, "epoch": 47, "n_parameters": 99271400} -{"train_lr": 0.0009412452087721683, "train_loss": 3.654849981113399, "test_loss": 1.0773461200296879, "test_acc1": 74.21200253234863, "test_acc5": 92.5540024484253, "epoch": 48, "n_parameters": 99271400} -{"train_lr": 0.0009387718066217019, "train_loss": 3.6464001779838338, "test_loss": 1.0681458280393572, "test_acc1": 74.53600222167968, "test_acc5": 92.70600265014649, "epoch": 49, "n_parameters": 99271400} -{"train_lr": 0.000936250836504503, "train_loss": 3.636794249407298, "test_loss": 1.0689788815198522, "test_acc1": 74.53000241333008, "test_acc5": 92.79600239257813, "epoch": 50, "n_parameters": 99271400} -{"train_lr": 0.0009336825748732897, "train_loss": 3.618885476597779, "test_loss": 1.0701092324699417, "test_acc1": 74.69400267089844, "test_acc5": 92.72000249603272, "epoch": 51, "n_parameters": 99271400} -{"train_lr": 0.0009310673033669664, "train_loss": 3.6128003196321803, "test_loss": 1.0796345823416205, "test_acc1": 74.71800237213135, "test_acc5": 92.75000262756348, "epoch": 52, "n_parameters": 99271400} -{"train_lr": 0.0009284053087794627, "train_loss": 3.6011797199003417, "test_loss": 1.0429037005612345, "test_acc1": 74.95600245147705, "test_acc5": 93.0440022491455, "epoch": 53, "n_parameters": 99271400} -{"train_lr": 0.0009256968830284788, "train_loss": 3.6046689034556505, "test_loss": 1.0417460774381955, "test_acc1": 75.14000249053954, "test_acc5": 93.0480024017334, "epoch": 54, "n_parameters": 99271400} -{"train_lr": 0.0009229423231234935, "train_loss": 3.6004212367639457, "test_loss": 1.075492378662933, "test_acc1": 74.99600247131347, "test_acc5": 92.87600254058837, "epoch": 55, "n_parameters": 99271400} -{"train_lr": 0.0009201419311329745, "train_loss": 3.5978446386986787, "test_loss": 1.0636333527438568, "test_acc1": 74.88000253479004, "test_acc5": 92.92000272766113, "epoch": 56, "n_parameters": 99271400} -{"train_lr": 0.0009172960141514878, "train_loss": 3.5714304500775373, "test_loss": 1.0369002724235707, "test_acc1": 75.21400265686034, "test_acc5": 93.09600272216797, "epoch": 57, "n_parameters": 99271400} -{"train_lr": 0.0009144048842658995, "train_loss": 3.5794723324781414, "test_loss": 1.0314094412958983, "test_acc1": 75.42000255493164, "test_acc5": 93.03000234893798, "epoch": 58, "n_parameters": 99271400} -{"train_lr": 0.0009114688585212051, "train_loss": 3.5774283048679694, "test_loss": 1.019207039339976, "test_acc1": 75.50800241271973, "test_acc5": 93.184002684021, "epoch": 59, "n_parameters": 99271400} -{"train_lr": 0.0009084882588856559, "train_loss": 3.55986615893938, "test_loss": 1.0170320324373967, "test_acc1": 75.43200239898681, "test_acc5": 93.20400251068115, "epoch": 60, "n_parameters": 99271400} -{"train_lr": 0.0009054634122156225, "train_loss": 3.5573030549773783, "test_loss": 1.0255938837248268, "test_acc1": 75.39800248565673, "test_acc5": 93.26400244628907, "epoch": 61, "n_parameters": 99271400} -{"train_lr": 0.0009023946502195918, "train_loss": 3.5518423055859207, "test_loss": 1.0427991391131373, "test_acc1": 75.56400261322021, "test_acc5": 93.33000257659913, "epoch": 62, "n_parameters": 99271400} -{"train_lr": 0.0008992823094219693, "train_loss": 3.5442433232883754, "test_loss": 1.004823091919675, "test_acc1": 75.69400238494873, "test_acc5": 93.3680025137329, "epoch": 63, "n_parameters": 99271400} -{"train_lr": 0.0008961267311259657, "train_loss": 3.5414224459017687, "test_loss": 1.0059765313159337, "test_acc1": 75.83000250030517, "test_acc5": 93.31400258056641, "epoch": 64, "n_parameters": 99271400} -{"train_lr": 0.0008929282613763057, "train_loss": 3.53673741426304, "test_loss": 1.0274373406939434, "test_acc1": 75.97800260742187, "test_acc5": 93.4860024887085, "epoch": 65, "n_parameters": 99271400} -{"train_lr": 0.0008896872509212006, "train_loss": 3.5302292510902853, "test_loss": 1.0103091658516363, "test_acc1": 75.78400244354248, "test_acc5": 93.44600261474609, "epoch": 66, "n_parameters": 99271400} -{"train_lr": 0.0008864040551740224, "train_loss": 3.5277827451173827, "test_loss": 1.0423150052401153, "test_acc1": 75.6640024810791, "test_acc5": 93.44200269805908, "epoch": 67, "n_parameters": 99271400} -{"train_lr": 0.0008830790341741554, "train_loss": 3.520683235080122, "test_loss": 1.0076391656290402, "test_acc1": 76.14200265319825, "test_acc5": 93.5560021496582, "epoch": 68, "n_parameters": 99271400} -{"train_lr": 0.000879712552547612, "train_loss": 3.5248889468556683, "test_loss": 0.9913749940919153, "test_acc1": 76.3140025479126, "test_acc5": 93.50600228668213, "epoch": 69, "n_parameters": 99271400} -{"train_lr": 0.0008763049794670927, "train_loss": 3.5087903956476922, "test_loss": 0.9883346991105513, "test_acc1": 76.04200261230469, "test_acc5": 93.46600244628907, "epoch": 70, "n_parameters": 99271400} -{"train_lr": 0.0008728566886112912, "train_loss": 3.5018620135115204, "test_loss": 0.9951370656490326, "test_acc1": 76.19200242279052, "test_acc5": 93.57200264984131, "epoch": 71, "n_parameters": 99271400} -{"train_lr": 0.000869368058124286, "train_loss": 3.502788013453297, "test_loss": 1.0182385978599389, "test_acc1": 76.33000244262695, "test_acc5": 93.6000025704956, "epoch": 72, "n_parameters": 99271400} -{"train_lr": 0.0008658394705736102, "train_loss": 3.4857497869683303, "test_loss": 0.9805091084404425, "test_acc1": 76.24600261627197, "test_acc5": 93.6980025845337, "epoch": 73, "n_parameters": 99271400} -{"train_lr": 0.0008622713129087039, "train_loss": 3.487020381610933, "test_loss": 0.9811831882054155, "test_acc1": 76.58400254882812, "test_acc5": 93.71200258087158, "epoch": 74, "n_parameters": 99271400} -{"train_lr": 0.0008586639764182332, "train_loss": 3.486964405917054, "test_loss": 0.9765103510157629, "test_acc1": 76.29400248718262, "test_acc5": 93.71400248687745, "epoch": 75, "n_parameters": 99271400} -{"train_lr": 0.0008550178566873157, "train_loss": 3.4787367254519443, "test_loss": 0.9678264436396685, "test_acc1": 76.67800241577149, "test_acc5": 93.85400240356445, "epoch": 76, "n_parameters": 99271400} -{"train_lr": 0.0008513333535541272, "train_loss": 3.4837855918706655, "test_loss": 0.9819442187294816, "test_acc1": 76.55600235168457, "test_acc5": 93.81400241333007, "epoch": 77, "n_parameters": 99271400} -{"train_lr": 0.0008476108710658582, "train_loss": 3.4659596100318537, "test_loss": 0.9664279950613325, "test_acc1": 77.00400244415283, "test_acc5": 93.79400246032715, "epoch": 78, "n_parameters": 99271400} -{"train_lr": 0.00084385081743468, "train_loss": 3.4682151592678303, "test_loss": 0.9852892118647243, "test_acc1": 76.89200236602784, "test_acc5": 93.70000252838135, "epoch": 79, "n_parameters": 99271400} -{"train_lr": 0.0008400536049929256, "train_loss": 3.4534638073089883, "test_loss": 0.9659467622863523, "test_acc1": 76.74000266601563, "test_acc5": 93.87200252685547, "epoch": 80, "n_parameters": 99271400} -{"train_lr": 0.0008362196501476587, "train_loss": 3.4498631752175775, "test_loss": 0.9737348947109599, "test_acc1": 76.97600231628418, "test_acc5": 93.96600242736817, "epoch": 81, "n_parameters": 99271400} -{"train_lr": 0.0008323493733352106, "train_loss": 3.451979920184679, "test_loss": 0.9752513396017479, "test_acc1": 76.90000228240967, "test_acc5": 93.8440024343872, "epoch": 82, "n_parameters": 99271400} -{"train_lr": 0.0008284431989751196, "train_loss": 3.4480409064381528, "test_loss": 0.9691327672564622, "test_acc1": 76.86600250518799, "test_acc5": 93.86600246002197, "epoch": 83, "n_parameters": 99271400} -{"train_lr": 0.0008245015554233518, "train_loss": 3.444515623205857, "test_loss": 0.963019161626245, "test_acc1": 76.94000266784668, "test_acc5": 93.97800257385254, "epoch": 84, "n_parameters": 99271400} -{"train_lr": 0.0008205248749255873, "train_loss": 3.437841362578215, "test_loss": 0.9707559050258362, "test_acc1": 77.10600247436524, "test_acc5": 94.00000259429932, "epoch": 85, "n_parameters": 99271400} -{"train_lr": 0.0008165135935696841, "train_loss": 3.4323594623761213, "test_loss": 0.9485531622035936, "test_acc1": 77.0740025756836, "test_acc5": 94.07000259948731, "epoch": 86, "n_parameters": 99271400} -{"train_lr": 0.0008124681512377846, "train_loss": 3.4313599491338556, "test_loss": 0.9423995819507223, "test_acc1": 77.25400264984131, "test_acc5": 94.00200247558594, "epoch": 87, "n_parameters": 99271400} -{"train_lr": 0.0008083889915582182, "train_loss": 3.4273704332318142, "test_loss": 0.9657239608015075, "test_acc1": 77.12400267333985, "test_acc5": 94.01200254974366, "epoch": 88, "n_parameters": 99271400} -{"train_lr": 0.0008042765618568846, "train_loss": 3.4191744510504267, "test_loss": 0.9634026165938738, "test_acc1": 77.26400261169434, "test_acc5": 94.24400229278564, "epoch": 89, "n_parameters": 99271400} -{"train_lr": 0.0008001313131079711, "train_loss": 3.4253412088711293, "test_loss": 0.9582882943478498, "test_acc1": 77.24200256683349, "test_acc5": 94.20400242767334, "epoch": 90, "n_parameters": 99271400} -{"train_lr": 0.0007959536998847494, "train_loss": 3.4253274865097088, "test_loss": 0.947919201670271, "test_acc1": 77.39600255065918, "test_acc5": 94.10600248260498, "epoch": 91, "n_parameters": 99271400} -{"train_lr": 0.0007917441803096098, "train_loss": 3.414165423606797, "test_loss": 0.9469457147925189, "test_acc1": 77.40200256744384, "test_acc5": 94.20000235046386, "epoch": 92, "n_parameters": 99271400} -{"train_lr": 0.0007875032160038205, "train_loss": 3.4074733303629046, "test_loss": 0.9418515287565462, "test_acc1": 77.32200240844726, "test_acc5": 94.14000263458252, "epoch": 93, "n_parameters": 99271400} -{"train_lr": 0.0007832312720368117, "train_loss": 3.3954812273752393, "test_loss": 0.9346688303983572, "test_acc1": 77.83800240844727, "test_acc5": 94.22600243896484, "epoch": 94, "n_parameters": 99271400} -{"train_lr": 0.0007789288168754665, "train_loss": 3.4032064926662415, "test_loss": 0.9347712949595668, "test_acc1": 77.77400257385254, "test_acc5": 94.23400271942138, "epoch": 95, "n_parameters": 99271400} -{"train_lr": 0.0007745963223324492, "train_loss": 3.395021085199311, "test_loss": 0.9386391998691992, "test_acc1": 77.49200240386963, "test_acc5": 94.27400248962402, "epoch": 96, "n_parameters": 99271400} -{"train_lr": 0.0007702342635146132, "train_loss": 3.3912813276600398, "test_loss": 0.9317723311709635, "test_acc1": 77.55600235626221, "test_acc5": 94.27400242584228, "epoch": 97, "n_parameters": 99271400} -{"train_lr": 0.0007658431187708385, "train_loss": 3.3860822025058175, "test_loss": 0.9221882939790235, "test_acc1": 77.57200243774415, "test_acc5": 94.35200237945557, "epoch": 98, "n_parameters": 99271400} -{"train_lr": 0.0007614233696396923, "train_loss": 3.386400929195799, "test_loss": 0.9350104651442079, "test_acc1": 77.77200256256104, "test_acc5": 94.29400254364013, "epoch": 99, "n_parameters": 99271400} -{"train_lr": 0.0007569755007964469, "train_loss": 3.3811030720802044, "test_loss": 0.9592310665457537, "test_acc1": 77.66600238433838, "test_acc5": 94.16000232208252, "epoch": 100, "n_parameters": 99271400} -{"train_lr": 0.0007525000000000169, "train_loss": 3.375726670360298, "test_loss": 0.9280743787460255, "test_acc1": 77.84600242767334, "test_acc5": 94.38400247009277, "epoch": 101, "n_parameters": 99271400} -{"train_lr": 0.0007479973580395145, "train_loss": 3.36703289965455, "test_loss": 0.9228870476962943, "test_acc1": 77.92800257049561, "test_acc5": 94.39400238128663, "epoch": 102, "n_parameters": 99271400} -{"train_lr": 0.0007434680686803327, "train_loss": 3.3734677791190473, "test_loss": 0.9295349647149895, "test_acc1": 77.90000260040283, "test_acc5": 94.26800240875244, "epoch": 103, "n_parameters": 99271400} -{"train_lr": 0.0007389126286101685, "train_loss": 3.36695896863318, "test_loss": 0.9122778469640197, "test_acc1": 77.98400236297607, "test_acc5": 94.43400252624512, "epoch": 104, "n_parameters": 99271400} -{"train_lr": 0.0007343315373843357, "train_loss": 3.3597915111828764, "test_loss": 0.932719606793288, "test_acc1": 77.96200273712158, "test_acc5": 94.43800254974366, "epoch": 105, "n_parameters": 99271400} -{"train_lr": 0.0007297252973710595, "train_loss": 3.3667878576939243, "test_loss": 0.9247379218312827, "test_acc1": 78.11400244506837, "test_acc5": 94.4560026901245, "epoch": 106, "n_parameters": 99271400} -{"train_lr": 0.0007250944136965275, "train_loss": 3.3569862497724787, "test_loss": 0.9094826978715983, "test_acc1": 78.12200237609864, "test_acc5": 94.46400254760742, "epoch": 107, "n_parameters": 99271400} -{"train_lr": 0.0007204393941893078, "train_loss": 3.3486828784600533, "test_loss": 0.9197210915612452, "test_acc1": 78.19200239440919, "test_acc5": 94.47200254302979, "epoch": 108, "n_parameters": 99271400} -{"train_lr": 0.0007157607493246968, "train_loss": 3.346287449713138, "test_loss": 0.8916368049879869, "test_acc1": 78.51400256774902, "test_acc5": 94.62400256500244, "epoch": 109, "n_parameters": 99271400} -{"train_lr": 0.0007110589921689151, "train_loss": 3.3401861682617597, "test_loss": 0.9278077138870051, "test_acc1": 78.19400238250732, "test_acc5": 94.47200255523681, "epoch": 110, "n_parameters": 99271400} -{"train_lr": 0.0007063346383225066, "train_loss": 3.3356891866925236, "test_loss": 0.9114936571003813, "test_acc1": 78.28800235565186, "test_acc5": 94.6640024673462, "epoch": 111, "n_parameters": 99271400} -{"train_lr": 0.0007015882058641976, "train_loss": 3.3398004527286376, "test_loss": 0.9047955563574126, "test_acc1": 78.42000221191407, "test_acc5": 94.6920024899292, "epoch": 112, "n_parameters": 99271400} -{"train_lr": 0.0006968202152938009, "train_loss": 3.3327731138391554, "test_loss": 0.9120016461520484, "test_acc1": 78.30400246246337, "test_acc5": 94.55000243896484, "epoch": 113, "n_parameters": 99271400} -{"train_lr": 0.0006920311894751397, "train_loss": 3.329577067499157, "test_loss": 0.9043896111349264, "test_acc1": 78.38800223724365, "test_acc5": 94.59800255004883, "epoch": 114, "n_parameters": 99271400} -{"train_lr": 0.0006872216535789267, "train_loss": 3.3211327630171863, "test_loss": 0.9053816563929572, "test_acc1": 78.55600245880127, "test_acc5": 94.72800248168946, "epoch": 115, "n_parameters": 99271400} -{"train_lr": 0.0006823921350249367, "train_loss": 3.3208447766008615, "test_loss": 0.8921979864438375, "test_acc1": 78.72000241699219, "test_acc5": 94.7640024230957, "epoch": 116, "n_parameters": 99271400} -{"train_lr": 0.0006775431634242846, "train_loss": 3.3160984293757965, "test_loss": 0.8913894428899793, "test_acc1": 78.54400241394043, "test_acc5": 94.70800252960206, "epoch": 117, "n_parameters": 99271400} -{"train_lr": 0.0006726752705214028, "train_loss": 3.314486163137533, "test_loss": 0.8965705966181827, "test_acc1": 78.55000256011962, "test_acc5": 94.8620026248169, "epoch": 118, "n_parameters": 99271400} -{"train_lr": 0.0006677889901356115, "train_loss": 3.312589647291566, "test_loss": 0.887886566194621, "test_acc1": 78.4340023300171, "test_acc5": 94.85000262908936, "epoch": 119, "n_parameters": 99271400} -{"train_lr": 0.0006628848581025351, "train_loss": 3.2989053236042185, "test_loss": 0.8997720733962276, "test_acc1": 78.5580025592041, "test_acc5": 94.68600245849609, "epoch": 120, "n_parameters": 99271400} -{"train_lr": 0.0006579634122155856, "train_loss": 3.2982570169021566, "test_loss": 0.8798373484927596, "test_acc1": 78.95600259429932, "test_acc5": 94.87200257904053, "epoch": 121, "n_parameters": 99271400} -{"train_lr": 0.0006530251921667783, "train_loss": 3.2970577422782577, "test_loss": 0.8796559002137545, "test_acc1": 78.8520023449707, "test_acc5": 94.81600238708496, "epoch": 122, "n_parameters": 99271400} -{"train_lr": 0.0006480707394875038, "train_loss": 3.299857007370864, "test_loss": 0.9106048458453381, "test_acc1": 78.84600244659424, "test_acc5": 94.81800274627686, "epoch": 123, "n_parameters": 99271400} -{"train_lr": 0.0006431005974894059, "train_loss": 3.2895880037312693, "test_loss": 0.8864503895694559, "test_acc1": 78.74200264709472, "test_acc5": 94.83800258544922, "epoch": 124, "n_parameters": 99271400} -{"train_lr": 0.000638115311204536, "train_loss": 3.279961059895827, "test_loss": 0.8895131323599454, "test_acc1": 78.8360025869751, "test_acc5": 94.70800284362792, "epoch": 125, "n_parameters": 99271400} -{"train_lr": 0.0006331154273257683, "train_loss": 3.2767946062971363, "test_loss": 0.8854200650345195, "test_acc1": 79.03200246612549, "test_acc5": 94.82600245300293, "epoch": 126, "n_parameters": 99271400} -{"train_lr": 0.0006281014941466044, "train_loss": 3.2731807494192102, "test_loss": 0.8787809807920095, "test_acc1": 79.0740024243164, "test_acc5": 94.88600262268066, "epoch": 127, "n_parameters": 99271400} -{"train_lr": 0.000623074061501409, "train_loss": 3.2743773804270297, "test_loss": 0.8690850665849267, "test_acc1": 79.208002237854, "test_acc5": 94.91600275939942, "epoch": 128, "n_parameters": 99271400} -{"train_lr": 0.0006180336807047859, "train_loss": 3.2713426370367253, "test_loss": 0.8760252251769557, "test_acc1": 79.14600270263672, "test_acc5": 94.8420023034668, "epoch": 129, "n_parameters": 99271400} -{"train_lr": 0.0006129809044912789, "train_loss": 3.2725402349881607, "test_loss": 0.8816871906094479, "test_acc1": 79.19400257843017, "test_acc5": 94.92600277191163, "epoch": 130, "n_parameters": 99271400} -{"train_lr": 0.0006079162869547817, "train_loss": 3.2572295654901593, "test_loss": 0.8689060087005297, "test_acc1": 79.13000258728027, "test_acc5": 95.0260025125122, "epoch": 131, "n_parameters": 99271400} -{"train_lr": 0.0006028403834876773, "train_loss": 3.257451623880701, "test_loss": 0.8620653426782652, "test_acc1": 79.26600255493165, "test_acc5": 95.14000244049072, "epoch": 132, "n_parameters": 99271400} -{"train_lr": 0.0005977537507199184, "train_loss": 3.2541729572484437, "test_loss": 0.8602284603949749, "test_acc1": 79.29600240203857, "test_acc5": 95.01400249847413, "epoch": 133, "n_parameters": 99271400} -{"train_lr": 0.0005926569464581887, "train_loss": 3.2500354336153308, "test_loss": 0.879093687191154, "test_acc1": 79.13000267700195, "test_acc5": 94.89400271362305, "epoch": 134, "n_parameters": 99271400} -{"train_lr": 0.0005875505296244566, "train_loss": 3.246383072684804, "test_loss": 0.8669079660691998, "test_acc1": 79.51200244415283, "test_acc5": 95.0660023361206, "epoch": 135, "n_parameters": 99271400} -{"train_lr": 0.0005824350601949218, "train_loss": 3.241138923201534, "test_loss": 0.8874149500872149, "test_acc1": 79.11400262878418, "test_acc5": 94.92400254455566, "epoch": 136, "n_parameters": 99271400} -{"train_lr": 0.0005773110991383895, "train_loss": 3.2431734504697802, "test_loss": 0.8632078263344187, "test_acc1": 79.2900024307251, "test_acc5": 95.08200247253419, "epoch": 137, "n_parameters": 99271400} -{"train_lr": 0.0005721792083549796, "train_loss": 3.234832271445188, "test_loss": 0.8597359052210143, "test_acc1": 79.5120023046875, "test_acc5": 95.12800225891114, "epoch": 138, "n_parameters": 99271400} -{"train_lr": 0.0005670399506143469, "train_loss": 3.224877430845222, "test_loss": 0.8558567379685965, "test_acc1": 79.23800238891602, "test_acc5": 95.12600254394532, "epoch": 139, "n_parameters": 99271400} -{"train_lr": 0.0005618938894939768, "train_loss": 3.2265664453772334, "test_loss": 0.8572278663967595, "test_acc1": 79.49800217071534, "test_acc5": 95.15000258666993, "epoch": 140, "n_parameters": 99271400} -{"train_lr": 0.0005567415893175016, "train_loss": 3.2264935454304555, "test_loss": 0.8781256805540938, "test_acc1": 79.44600271820069, "test_acc5": 95.06600259796143, "epoch": 141, "n_parameters": 99271400} -{"train_lr": 0.0005515836150926655, "train_loss": 3.220695082208426, "test_loss": 0.855024279518561, "test_acc1": 79.6560023413086, "test_acc5": 95.1740028717041, "epoch": 142, "n_parameters": 99271400} -{"train_lr": 0.0005464205324494959, "train_loss": 3.2113837567712666, "test_loss": 0.8538100269030441, "test_acc1": 79.61400266540528, "test_acc5": 95.18000250579834, "epoch": 143, "n_parameters": 99271400} -{"train_lr": 0.0005412529075781865, "train_loss": 3.1985563130425416, "test_loss": 0.8488999027194399, "test_acc1": 79.76800257415772, "test_acc5": 95.19600236389161, "epoch": 144, "n_parameters": 99271400} -{"train_lr": 0.0005360813071670112, "train_loss": 3.1973627161541334, "test_loss": 0.8349722060516025, "test_acc1": 79.8280025302124, "test_acc5": 95.27000244018555, "epoch": 145, "n_parameters": 99271400} -{"train_lr": 0.0005309062983402611, "train_loss": 3.200951902247924, "test_loss": 0.8583391750174941, "test_acc1": 79.74000260772705, "test_acc5": 95.16800253936768, "epoch": 146, "n_parameters": 99271400} -{"train_lr": 0.0005257284485959572, "train_loss": 3.1978975622821673, "test_loss": 0.8419773133866715, "test_acc1": 79.86200268890381, "test_acc5": 95.27200253662109, "epoch": 147, "n_parameters": 99271400} -{"train_lr": 0.0005205483257436661, "train_loss": 3.1971027027907892, "test_loss": 0.8575802819069588, "test_acc1": 79.80200248504639, "test_acc5": 95.2760025918579, "epoch": 148, "n_parameters": 99271400} -{"train_lr": 0.0005153664978422618, "train_loss": 3.1876675315516936, "test_loss": 0.8323414986106482, "test_acc1": 79.85400258789062, "test_acc5": 95.35800253967285, "epoch": 149, "n_parameters": 99271400} -{"train_lr": 0.0005101835331375457, "train_loss": 3.1877591951335553, "test_loss": 0.8453478947507612, "test_acc1": 79.82600265411376, "test_acc5": 95.17200251037598, "epoch": 150, "n_parameters": 99271400} -{"train_lr": 0.0005049999999999881, "train_loss": 3.184924720443315, "test_loss": 0.8475001423873685, "test_acc1": 79.57600227783203, "test_acc5": 95.18400255371094, "epoch": 151, "n_parameters": 99271400} -{"train_lr": 0.0004998164668624689, "train_loss": 3.1755091550348284, "test_loss": 0.8265916014259512, "test_acc1": 79.94800250244141, "test_acc5": 95.37200247650146, "epoch": 152, "n_parameters": 99271400} -{"train_lr": 0.0004946335021577291, "train_loss": 3.1626546337521617, "test_loss": 0.8315100924986781, "test_acc1": 79.93600272735596, "test_acc5": 95.26600268432617, "epoch": 153, "n_parameters": 99271400} -{"train_lr": 0.0004894516742563275, "train_loss": 3.1637868752225127, "test_loss": 0.8477421174898292, "test_acc1": 79.93800243103027, "test_acc5": 95.3800024508667, "epoch": 154, "n_parameters": 99271400} -{"train_lr": 0.0004842715514040588, "train_loss": 3.155313622453611, "test_loss": 0.8445489090500455, "test_acc1": 80.0680027972412, "test_acc5": 95.43400264587402, "epoch": 155, "n_parameters": 99271400} -{"train_lr": 0.00047909370165973703, "train_loss": 3.1591865063475955, "test_loss": 0.8293733951268774, "test_acc1": 80.2020024597168, "test_acc5": 95.41000240570068, "epoch": 156, "n_parameters": 99271400} -{"train_lr": 0.00047391869283298395, "train_loss": 3.149040712596034, "test_loss": 0.8394282910634171, "test_acc1": 80.11000246520996, "test_acc5": 95.36400237091064, "epoch": 157, "n_parameters": 99271400} -{"train_lr": 0.0004687470924218306, "train_loss": 3.1503020286988868, "test_loss": 0.8068670025377562, "test_acc1": 80.42400252502442, "test_acc5": 95.54200244781494, "epoch": 158, "n_parameters": 99271400} -{"train_lr": 0.0004635794675504931, "train_loss": 3.143126291598824, "test_loss": 0.8171814640588833, "test_acc1": 80.16800251434326, "test_acc5": 95.42400246795654, "epoch": 159, "n_parameters": 99271400} -{"train_lr": 0.0004584163849073357, "train_loss": 3.1393122203963744, "test_loss": 0.8446522919517575, "test_acc1": 80.26400247894287, "test_acc5": 95.38000232452393, "epoch": 160, "n_parameters": 99271400} -{"train_lr": 0.0004532584106825094, "train_loss": 3.135153491803401, "test_loss": 0.8182437241528974, "test_acc1": 80.28600246612548, "test_acc5": 95.41000254486084, "epoch": 161, "n_parameters": 99271400} -{"train_lr": 0.0004481061105060409, "train_loss": 3.119079658548704, "test_loss": 0.8100022069658294, "test_acc1": 80.33600251464844, "test_acc5": 95.4980024685669, "epoch": 162, "n_parameters": 99271400} -{"train_lr": 0.00044296004938566933, "train_loss": 3.1270345277923473, "test_loss": 0.8169816069756494, "test_acc1": 80.44400267517089, "test_acc5": 95.49200249969482, "epoch": 163, "n_parameters": 99271400} -{"train_lr": 0.0004378207916450146, "train_loss": 3.126252375727744, "test_loss": 0.8109204052298358, "test_acc1": 80.28200274871826, "test_acc5": 95.56200256774902, "epoch": 164, "n_parameters": 99271400} -{"train_lr": 0.00043268890086160794, "train_loss": 3.1178732698293423, "test_loss": 0.8150020899871985, "test_acc1": 80.48800256256104, "test_acc5": 95.65400256256103, "epoch": 165, "n_parameters": 99271400} -{"train_lr": 0.00042756493980507503, "train_loss": 3.1202705962409216, "test_loss": 0.8010863534203081, "test_acc1": 80.61000246765137, "test_acc5": 95.53600262390137, "epoch": 166, "n_parameters": 99271400} -{"train_lr": 0.0004224494703755201, "train_loss": 3.1036258256144755, "test_loss": 0.8013340586965735, "test_acc1": 80.58200260253906, "test_acc5": 95.6280025604248, "epoch": 167, "n_parameters": 99271400} -{"train_lr": 0.00041734305354179923, "train_loss": 3.099563682322308, "test_loss": 0.8004956875335086, "test_acc1": 80.61800261047364, "test_acc5": 95.59800269317627, "epoch": 168, "n_parameters": 99271400} -{"train_lr": 0.0004122462492800569, "train_loss": 3.1026365049451377, "test_loss": 0.8041806342926893, "test_acc1": 80.74600234924317, "test_acc5": 95.61600249694824, "epoch": 169, "n_parameters": 99271400} -{"train_lr": 0.0004071596165123325, "train_loss": 3.0923177669945954, "test_loss": 0.8204350280716564, "test_acc1": 80.86400234619141, "test_acc5": 95.69000251922607, "epoch": 170, "n_parameters": 99271400} -{"train_lr": 0.0004020837130452182, "train_loss": 3.0986315241868168, "test_loss": 0.8019578182561831, "test_acc1": 80.71600251098633, "test_acc5": 95.68400252807618, "epoch": 171, "n_parameters": 99271400} -{"train_lr": 0.00039701909550871056, "train_loss": 3.0780335699887775, "test_loss": 0.7973073857525984, "test_acc1": 80.86400209716797, "test_acc5": 95.72000253601074, "epoch": 172, "n_parameters": 99271400} -{"train_lr": 0.0003919663192952229, "train_loss": 3.084737626220778, "test_loss": 0.7954683826502525, "test_acc1": 80.9940024621582, "test_acc5": 95.74000262573242, "epoch": 173, "n_parameters": 99271400} -{"train_lr": 0.00038692593849859734, "train_loss": 3.071990337743938, "test_loss": 0.7932253023891738, "test_acc1": 80.84800253753662, "test_acc5": 95.68200277496338, "epoch": 174, "n_parameters": 99271400} -{"train_lr": 0.0003818985058534034, "train_loss": 3.071581064951982, "test_loss": 0.7998114744144859, "test_acc1": 80.92200235839844, "test_acc5": 95.7280025881958, "epoch": 175, "n_parameters": 99271400} -{"train_lr": 0.0003768845726742596, "train_loss": 3.069583634487826, "test_loss": 0.8046391675192298, "test_acc1": 80.81800255065917, "test_acc5": 95.71400251190185, "epoch": 176, "n_parameters": 99271400} -{"train_lr": 0.0003718846887954506, "train_loss": 3.058677039701018, "test_loss": 0.8048820541889379, "test_acc1": 80.80000261901856, "test_acc5": 95.782002527771, "epoch": 177, "n_parameters": 99271400} -{"train_lr": 0.00036689940251057154, "train_loss": 3.058001910539554, "test_loss": 0.803112155334516, "test_acc1": 80.90400285827637, "test_acc5": 95.73600269927978, "epoch": 178, "n_parameters": 99271400} -{"train_lr": 0.0003619292605124837, "train_loss": 3.053830564438963, "test_loss": 0.7948815767286401, "test_acc1": 80.83800251098633, "test_acc5": 95.78800259643555, "epoch": 179, "n_parameters": 99271400} -{"train_lr": 0.0003569748078332423, "train_loss": 3.044768732312105, "test_loss": 0.7913041901633595, "test_acc1": 80.88600245971679, "test_acc5": 95.64600232543945, "epoch": 180, "n_parameters": 99271400} -{"train_lr": 0.00035203658778439235, "train_loss": 3.0445470031645656, "test_loss": 0.7909058567813851, "test_acc1": 81.07200241607666, "test_acc5": 95.74800269927978, "epoch": 181, "n_parameters": 99271400} -{"train_lr": 0.0003471151418974503, "train_loss": 3.0383731683166766, "test_loss": 0.7944971447189649, "test_acc1": 81.05000246398926, "test_acc5": 95.7300022668457, "epoch": 182, "n_parameters": 99271400} -{"train_lr": 0.0003422110098644085, "train_loss": 3.029496096735664, "test_loss": 0.7928611940958283, "test_acc1": 81.11000263122558, "test_acc5": 95.74400248260498, "epoch": 183, "n_parameters": 99271400} -{"train_lr": 0.0003373247294785742, "train_loss": 3.0293759813101935, "test_loss": 0.7881702081949422, "test_acc1": 81.3740022744751, "test_acc5": 95.86600233184815, "epoch": 184, "n_parameters": 99271400} -{"train_lr": 0.0003324568365756944, "train_loss": 3.022765228550116, "test_loss": 0.7909476519985632, "test_acc1": 81.22800264221192, "test_acc5": 95.81800240356445, "epoch": 185, "n_parameters": 99271400} -{"train_lr": 0.00032760786497508304, "train_loss": 3.018003664797635, "test_loss": 0.7866705001303644, "test_acc1": 81.16000251708985, "test_acc5": 95.8740026800537, "epoch": 186, "n_parameters": 99271400} -{"train_lr": 0.00032277834642108216, "train_loss": 3.015503533452535, "test_loss": 0.7849211973900144, "test_acc1": 81.21400260345459, "test_acc5": 95.82000242248535, "epoch": 187, "n_parameters": 99271400} -{"train_lr": 0.00031796881052486697, "train_loss": 3.0048650701245148, "test_loss": 0.7810571933108749, "test_acc1": 81.29000228027344, "test_acc5": 95.83600238250733, "epoch": 188, "n_parameters": 99271400} -{"train_lr": 0.0003131797847062025, "train_loss": 2.9960593067580086, "test_loss": 0.7804943362646031, "test_acc1": 81.43000267700195, "test_acc5": 95.85400238830566, "epoch": 189, "n_parameters": 99271400} -{"train_lr": 0.0003084117941357799, "train_loss": 3.0020852534414577, "test_loss": 0.78223509217302, "test_acc1": 81.4060025970459, "test_acc5": 95.89200250823974, "epoch": 190, "n_parameters": 99271400} -{"train_lr": 0.00030366536167747524, "train_loss": 2.9929460524130973, "test_loss": 0.7779248372623415, "test_acc1": 81.51600265747071, "test_acc5": 95.90200252960206, "epoch": 191, "n_parameters": 99271400} -{"train_lr": 0.00029894100783110664, "train_loss": 2.987491092438416, "test_loss": 0.7655595375055616, "test_acc1": 81.33600244506836, "test_acc5": 95.87600262817382, "epoch": 192, "n_parameters": 99271400} -{"train_lr": 0.0002942392506752879, "train_loss": 2.9869408657987244, "test_loss": 0.7895559254243518, "test_acc1": 81.67000269409179, "test_acc5": 95.9480026272583, "epoch": 193, "n_parameters": 99271400} -{"train_lr": 0.0002895606058107011, "train_loss": 2.9672083319615212, "test_loss": 0.7665533013641834, "test_acc1": 81.68800272064209, "test_acc5": 95.98000246948243, "epoch": 194, "n_parameters": 99271400} -{"train_lr": 0.0002849055863034561, "train_loss": 2.970462287811162, "test_loss": 0.7744876040202199, "test_acc1": 81.4520024420166, "test_acc5": 95.98600238861084, "epoch": 195, "n_parameters": 99271400} -{"train_lr": 0.0002802747026289244, "train_loss": 2.968593780585616, "test_loss": 0.7648068895055489, "test_acc1": 81.61800259887696, "test_acc5": 96.02200263122559, "epoch": 196, "n_parameters": 99271400} -{"train_lr": 0.00027566846261567343, "train_loss": 2.958520870057227, "test_loss": 0.7734694670547139, "test_acc1": 81.6460028024292, "test_acc5": 95.98000250457764, "epoch": 197, "n_parameters": 99271400} -{"train_lr": 0.00027108737138981483, "train_loss": 2.9567688340715748, "test_loss": 0.7739652150282355, "test_acc1": 81.60200266845703, "test_acc5": 96.04000247558594, "epoch": 198, "n_parameters": 99271400} -{"train_lr": 0.00026653193131964784, "train_loss": 2.9485208526384725, "test_loss": 0.764427752431595, "test_acc1": 81.75000250396728, "test_acc5": 96.03400251983642, "epoch": 199, "n_parameters": 99271400} -{"train_lr": 0.00026200264196050673, "train_loss": 2.9438868893755616, "test_loss": 0.7795744741504843, "test_acc1": 81.71600254364013, "test_acc5": 95.98200269012452, "epoch": 200, "n_parameters": 99271400} -{"train_lr": 0.00025750000000000143, "train_loss": 2.9406927489786505, "test_loss": 0.7626519459440853, "test_acc1": 81.87600234344482, "test_acc5": 96.0360025881958, "epoch": 201, "n_parameters": 99271400} -{"train_lr": 0.0002530244992035622, "train_loss": 2.935029353931558, "test_loss": 0.7521308939339537, "test_acc1": 81.71800256286622, "test_acc5": 96.05800261688232, "epoch": 202, "n_parameters": 99271400} -{"train_lr": 0.00024857663036030185, "train_loss": 2.9314604638506183, "test_loss": 0.7519528372495463, "test_acc1": 81.88400247131348, "test_acc5": 96.10400261322022, "epoch": 203, "n_parameters": 99271400} -{"train_lr": 0.00024415688122914167, "train_loss": 2.931157411574174, "test_loss": 0.7717919645435882, "test_acc1": 81.8740024053955, "test_acc5": 96.08200230773926, "epoch": 204, "n_parameters": 99271400} -{"train_lr": 0.00023976573648539732, "train_loss": 2.9164642099377445, "test_loss": 0.749674238716111, "test_acc1": 81.90200245758056, "test_acc5": 96.14200242584228, "epoch": 205, "n_parameters": 99271400} -{"train_lr": 0.0002354036776675575, "train_loss": 2.914511166709504, "test_loss": 0.7498101464500933, "test_acc1": 82.06400248474121, "test_acc5": 96.1820024081421, "epoch": 206, "n_parameters": 99271400} -{"train_lr": 0.00023107118312454297, "train_loss": 2.9090227524368024, "test_loss": 0.7600121871765816, "test_acc1": 82.01200242797852, "test_acc5": 96.12400256530762, "epoch": 207, "n_parameters": 99271400} -{"train_lr": 0.00022676872796319747, "train_loss": 2.8996452040952456, "test_loss": 0.7564670180506778, "test_acc1": 82.09400262573241, "test_acc5": 96.08200280059815, "epoch": 208, "n_parameters": 99271400} -{"train_lr": 0.00022249678399621184, "train_loss": 2.8967281523511277, "test_loss": 0.7494988005721208, "test_acc1": 81.93400266784668, "test_acc5": 96.20400256103515, "epoch": 209, "n_parameters": 99271400} -{"train_lr": 0.00021825581969037202, "train_loss": 2.897932225625387, "test_loss": 0.7532735407126673, "test_acc1": 81.94600253845215, "test_acc5": 96.1260025628662, "epoch": 210, "n_parameters": 99271400} -{"train_lr": 0.0002140463001152288, "train_loss": 2.8895052278832756, "test_loss": 0.7565712593495846, "test_acc1": 82.12000257598876, "test_acc5": 96.14000261505127, "epoch": 211, "n_parameters": 99271400} -{"train_lr": 0.00020986868689201908, "train_loss": 2.880295431585335, "test_loss": 0.7544918545719349, "test_acc1": 82.258002578125, "test_acc5": 96.25200266296386, "epoch": 212, "n_parameters": 99271400} -{"train_lr": 0.00020572343814312388, "train_loss": 2.8792147474061194, "test_loss": 0.7568490175586758, "test_acc1": 82.10000259674072, "test_acc5": 96.14200271972656, "epoch": 213, "n_parameters": 99271400} -{"train_lr": 0.00020161100844177222, "train_loss": 2.8719953007454113, "test_loss": 0.7469833764162931, "test_acc1": 82.26600251098633, "test_acc5": 96.14400221435547, "epoch": 214, "n_parameters": 99271400} -{"train_lr": 0.0001975318487622333, "train_loss": 2.8707505464553833, "test_loss": 0.7467430673652526, "test_acc1": 82.26400250030518, "test_acc5": 96.2180028262329, "epoch": 215, "n_parameters": 99271400} -{"train_lr": 0.0001934864064303279, "train_loss": 2.8627360643719215, "test_loss": 0.7539360864144383, "test_acc1": 82.23600243103027, "test_acc5": 96.23400255371094, "epoch": 216, "n_parameters": 99271400} -{"train_lr": 0.00018947512507439562, "train_loss": 2.8591535741286123, "test_loss": 0.749408568904707, "test_acc1": 82.26600232818603, "test_acc5": 96.18000242858886, "epoch": 217, "n_parameters": 99271400} -{"train_lr": 0.00018549844457663907, "train_loss": 2.8516440994495587, "test_loss": 0.7403052152896469, "test_acc1": 82.37400255645753, "test_acc5": 96.25200267700195, "epoch": 218, "n_parameters": 99271400} -{"train_lr": 0.00018155680102489234, "train_loss": 2.8477471422949, "test_loss": 0.7545429244073052, "test_acc1": 82.34000279937744, "test_acc5": 96.23000254119873, "epoch": 219, "n_parameters": 99271400} -{"train_lr": 0.00017765062666479713, "train_loss": 2.8425257829524915, "test_loss": 0.7411237877765389, "test_acc1": 82.41600259918214, "test_acc5": 96.29600250305175, "epoch": 220, "n_parameters": 99271400} -{"train_lr": 0.0001737803498523614, "train_loss": 2.8300798074852267, "test_loss": 0.7389087764489831, "test_acc1": 82.52200260437012, "test_acc5": 96.29400261138916, "epoch": 221, "n_parameters": 99271400} -{"train_lr": 0.0001699463950070852, "train_loss": 2.8283597054265197, "test_loss": 0.7288663963589704, "test_acc1": 82.46000256500244, "test_acc5": 96.2720023199463, "epoch": 222, "n_parameters": 99271400} -{"train_lr": 0.00016614918256530037, "train_loss": 2.8225090224727643, "test_loss": 0.729608910045389, "test_acc1": 82.6940026473999, "test_acc5": 96.26200252593995, "epoch": 223, "n_parameters": 99271400} -{"train_lr": 0.0001623891289341519, "train_loss": 2.816307556536272, "test_loss": 0.7328693265038909, "test_acc1": 82.54400256744385, "test_acc5": 96.33600267089844, "epoch": 224, "n_parameters": 99271400} -{"train_lr": 0.00015866664644587948, "train_loss": 2.808125628591727, "test_loss": 0.7360824552562201, "test_acc1": 82.46400236480713, "test_acc5": 96.2680025805664, "epoch": 225, "n_parameters": 99271400} -{"train_lr": 0.00015498214331266302, "train_loss": 2.814404423633735, "test_loss": 0.7408956258247296, "test_acc1": 82.49800232727051, "test_acc5": 96.31800241333008, "epoch": 226, "n_parameters": 99271400} -{"train_lr": 0.00015133602358175863, "train_loss": 2.8068169742036493, "test_loss": 0.7282943740825761, "test_acc1": 82.82800231079102, "test_acc5": 96.34600248352051, "epoch": 227, "n_parameters": 99271400} -{"train_lr": 0.00014772868709131358, "train_loss": 2.7986671737224746, "test_loss": 0.7377675428534999, "test_acc1": 82.59400258087159, "test_acc5": 96.26800242584228, "epoch": 228, "n_parameters": 99271400} -{"train_lr": 0.00014416052942639815, "train_loss": 2.793186645987604, "test_loss": 0.7292281094599854, "test_acc1": 82.7120024923706, "test_acc5": 96.30400231658936, "epoch": 229, "n_parameters": 99271400} -{"train_lr": 0.0001406319418757283, "train_loss": 2.780821022679575, "test_loss": 0.7390960800941243, "test_acc1": 82.75000247772216, "test_acc5": 96.32600247558594, "epoch": 230, "n_parameters": 99271400} -{"train_lr": 0.00013714331138869076, "train_loss": 2.781518850907338, "test_loss": 0.726689103765018, "test_acc1": 82.62600255523682, "test_acc5": 96.32200253692626, "epoch": 231, "n_parameters": 99271400} -{"train_lr": 0.00013369502053292505, "train_loss": 2.7744003405912125, "test_loss": 0.7310507951699423, "test_acc1": 82.56400221801758, "test_acc5": 96.34000244598388, "epoch": 232, "n_parameters": 99271400} -{"train_lr": 0.00013028744745238475, "train_loss": 2.775931980183942, "test_loss": 0.7336196261599208, "test_acc1": 82.72600248779297, "test_acc5": 96.33600242950439, "epoch": 233, "n_parameters": 99271400} -{"train_lr": 0.0001269209658258495, "train_loss": 2.7673058481358415, "test_loss": 0.7296681365167553, "test_acc1": 82.83800263153076, "test_acc5": 96.36600245666504, "epoch": 234, "n_parameters": 99271400} -{"train_lr": 0.0001235959448259827, "train_loss": 2.7539965031530076, "test_loss": 0.7227933428842913, "test_acc1": 82.98600241485596, "test_acc5": 96.41800274902344, "epoch": 235, "n_parameters": 99271400} -{"train_lr": 0.00012031274907879949, "train_loss": 2.75377188167936, "test_loss": 0.7234070826547615, "test_acc1": 82.86600268646241, "test_acc5": 96.44600282806397, "epoch": 236, "n_parameters": 99271400} -{"train_lr": 0.00011707173862371172, "train_loss": 2.746043906044617, "test_loss": 0.7282488879493692, "test_acc1": 82.91000252044678, "test_acc5": 96.37400264312744, "epoch": 237, "n_parameters": 99271400} -{"train_lr": 0.00011387326887403272, "train_loss": 2.7489823607994404, "test_loss": 0.7309577629308809, "test_acc1": 82.8540024432373, "test_acc5": 96.35800268951417, "epoch": 238, "n_parameters": 99271400} -{"train_lr": 0.00011071769057802179, "train_loss": 2.741374639965457, "test_loss": 0.7264882930074678, "test_acc1": 82.89400251617431, "test_acc5": 96.35400237701415, "epoch": 239, "n_parameters": 99271400} -{"train_lr": 0.00010760534978039747, "train_loss": 2.736768375936267, "test_loss": 0.7308897373238297, "test_acc1": 82.82800238708496, "test_acc5": 96.38400242858887, "epoch": 240, "n_parameters": 99271400} -{"train_lr": 0.00010453658778440302, "train_loss": 2.725058658434142, "test_loss": 0.723411163823171, "test_acc1": 83.04600265106201, "test_acc5": 96.39800273223877, "epoch": 241, "n_parameters": 99271400} -{"train_lr": 0.0001015117411143637, "train_loss": 2.7217504374152846, "test_loss": 0.7282955949618057, "test_acc1": 82.94200242645263, "test_acc5": 96.38200242675781, "epoch": 242, "n_parameters": 99271400} -{"train_lr": 9.853114147881454e-05, "train_loss": 2.7105801395184512, "test_loss": 0.7212055547332222, "test_acc1": 83.13200240356446, "test_acc5": 96.38000259185792, "epoch": 243, "n_parameters": 99271400} -{"train_lr": 9.559511573409267e-05, "train_loss": 2.713465583696068, "test_loss": 0.7217346106966337, "test_acc1": 83.2720023840332, "test_acc5": 96.43800240020752, "epoch": 244, "n_parameters": 99271400} -{"train_lr": 9.270398584849976e-05, "train_loss": 2.7013497119970458, "test_loss": 0.72972671687603, "test_acc1": 83.04400236358643, "test_acc5": 96.35600259887696, "epoch": 245, "n_parameters": 99271400} -{"train_lr": 8.985806886701763e-05, "train_loss": 2.7016545134744674, "test_loss": 0.7279782277165037, "test_acc1": 82.96400249847412, "test_acc5": 96.40200264160156, "epoch": 246, "n_parameters": 99271400} -{"train_lr": 8.705767687650155e-05, "train_loss": 2.6931176643601233, "test_loss": 0.7227735598430489, "test_acc1": 83.12800267730712, "test_acc5": 96.38000245941163, "epoch": 247, "n_parameters": 99271400} -{"train_lr": 8.430311697149993e-05, "train_loss": 2.6998188017035942, "test_loss": 0.7263909650571418, "test_acc1": 83.10200238311768, "test_acc5": 96.43400280517578, "epoch": 248, "n_parameters": 99271400} -{"train_lr": 8.159469122054745e-05, "train_loss": 2.686419910640358, "test_loss": 0.7213095419221756, "test_acc1": 83.18000269439698, "test_acc5": 96.45600285369873, "epoch": 249, "n_parameters": 99271400} -{"train_lr": 7.893269663304691e-05, "train_loss": 2.6838451822360545, "test_loss": 0.7210869978210239, "test_acc1": 83.17000253875733, "test_acc5": 96.46200248199463, "epoch": 250, "n_parameters": 99271400} -{"train_lr": 7.631742512670381e-05, "train_loss": 2.6716752427873565, "test_loss": 0.7251876005056229, "test_acc1": 83.0840025805664, "test_acc5": 96.46600256713867, "epoch": 251, "n_parameters": 99271400} -{"train_lr": 7.37491634955067e-05, "train_loss": 2.6687492007117193, "test_loss": 0.7222172305778121, "test_acc1": 83.07600268066406, "test_acc5": 96.4340026675415, "epoch": 252, "n_parameters": 99271400} -{"train_lr": 7.122819337828824e-05, "train_loss": 2.6636458479290863, "test_loss": 0.7220078890183659, "test_acc1": 83.13600232147216, "test_acc5": 96.47600239685059, "epoch": 253, "n_parameters": 99271400} -{"train_lr": 6.875479122782832e-05, "train_loss": 2.656297605029113, "test_loss": 0.7199858330528844, "test_acc1": 83.28200245697022, "test_acc5": 96.42000237792969, "epoch": 254, "n_parameters": 99271400} -{"train_lr": 6.632922828055003e-05, "train_loss": 2.6606641437271707, "test_loss": 0.7201215298564145, "test_acc1": 83.20800258453369, "test_acc5": 96.45200247558594, "epoch": 255, "n_parameters": 99271400} -{"train_lr": 6.395177052675899e-05, "train_loss": 2.6549138937541525, "test_loss": 0.7179132192536737, "test_acc1": 83.24400253234863, "test_acc5": 96.47200261779786, "epoch": 256, "n_parameters": 99271400} -{"train_lr": 6.162267868149164e-05, "train_loss": 2.6536548534552638, "test_loss": 0.7152580747550185, "test_acc1": 83.25400223754883, "test_acc5": 96.5440025592041, "epoch": 257, "n_parameters": 99271400} -{"train_lr": 5.934220815591336e-05, "train_loss": 2.6441839948522863, "test_loss": 0.7151417211262565, "test_acc1": 83.2480025704956, "test_acc5": 96.4740025680542, "epoch": 258, "n_parameters": 99271400} -{"train_lr": 5.7110609029320316e-05, "train_loss": 2.639134651262888, "test_loss": 0.7180755332563863, "test_acc1": 83.33400250274659, "test_acc5": 96.52200219512939, "epoch": 259, "n_parameters": 99271400} -{"train_lr": 5.492812602170232e-05, "train_loss": 2.6377801231795743, "test_loss": 0.7185223314233802, "test_acc1": 83.38600250396729, "test_acc5": 96.47000224243165, "epoch": 260, "n_parameters": 99271400} -{"train_lr": 5.2794998466913834e-05, "train_loss": 2.6416310372350695, "test_loss": 0.7188166176730936, "test_acc1": 83.38000258178711, "test_acc5": 96.43000251586913, "epoch": 261, "n_parameters": 99271400} -{"train_lr": 5.0711460286429e-05, "train_loss": 2.628881568829123, "test_loss": 0.7168752866599596, "test_acc1": 83.34400233337402, "test_acc5": 96.49000285919189, "epoch": 262, "n_parameters": 99271400} -{"train_lr": 4.8677739963691566e-05, "train_loss": 2.630465004810517, "test_loss": 0.7184279832537427, "test_acc1": 83.50600284545898, "test_acc5": 96.5100025466919, "epoch": 263, "n_parameters": 99271400} -{"train_lr": 4.669406051905346e-05, "train_loss": 2.620238839722366, "test_loss": 0.7188367969497587, "test_acc1": 83.3700023764038, "test_acc5": 96.43200242858887, "epoch": 264, "n_parameters": 99271400} -{"train_lr": 4.476063948531632e-05, "train_loss": 2.620148553515224, "test_loss": 0.7210357226995807, "test_acc1": 83.31600240081787, "test_acc5": 96.43600247741699, "epoch": 265, "n_parameters": 99271400} -{"train_lr": 4.287768888388454e-05, "train_loss": 2.6152644513203183, "test_loss": 0.7224521354743929, "test_acc1": 83.27600263244629, "test_acc5": 96.45400225006104, "epoch": 266, "n_parameters": 99271400} -{"train_lr": 4.1045415201513915e-05, "train_loss": 2.6074295646662144, "test_loss": 0.7225836858040455, "test_acc1": 83.28000246826171, "test_acc5": 96.40800249328613, "epoch": 267, "n_parameters": 99271400} -{"train_lr": 3.926401936765786e-05, "train_loss": 2.608361898876018, "test_loss": 0.7180332597345114, "test_acc1": 83.46600267852783, "test_acc5": 96.43600247131347, "epoch": 268, "n_parameters": 99271400} -{"train_lr": 3.753369673244709e-05, "train_loss": 2.6006217308634287, "test_loss": 0.7156695543477932, "test_acc1": 83.452002449646, "test_acc5": 96.45400241271973, "epoch": 269, "n_parameters": 99271400} -{"train_lr": 3.585463704525412e-05, "train_loss": 2.600297319338762, "test_loss": 0.719578925689513, "test_acc1": 83.39800244140625, "test_acc5": 96.42600264160156, "epoch": 270, "n_parameters": 99271400} -{"train_lr": 3.4227024433899046e-05, "train_loss": 2.589555358405498, "test_loss": 0.719323228198019, "test_acc1": 83.44400253570556, "test_acc5": 96.43200262756348, "epoch": 271, "n_parameters": 99271400} -{"train_lr": 3.2651037384443736e-05, "train_loss": 2.590218875167086, "test_loss": 0.7171719992025332, "test_acc1": 83.45200254730224, "test_acc5": 96.44600249176025, "epoch": 272, "n_parameters": 99271400} -{"train_lr": 3.112684872162703e-05, "train_loss": 2.5936745209492846, "test_loss": 0.7159217481473179, "test_acc1": 83.45400260162353, "test_acc5": 96.46600244293212, "epoch": 273, "n_parameters": 99271400} -{"train_lr": 2.9654625589913e-05, "train_loss": 2.5911505376215844, "test_loss": 0.7263896567464778, "test_acc1": 83.38200251800536, "test_acc5": 96.43600252380371, "epoch": 274, "n_parameters": 99271400} -{"train_lr": 2.8234529435159726e-05, "train_loss": 2.585597310325415, "test_loss": 0.7149324507988764, "test_acc1": 83.54800255249023, "test_acc5": 96.49800267700195, "epoch": 275, "n_parameters": 99271400} -{"train_lr": 2.686671598691151e-05, "train_loss": 2.5857272745489026, "test_loss": 0.7181551961623358, "test_acc1": 83.50400248626708, "test_acc5": 96.49800247497559, "epoch": 276, "n_parameters": 99271400} -{"train_lr": 2.55513352413271e-05, "train_loss": 2.5843542222734643, "test_loss": 0.7194325669358174, "test_acc1": 83.46400248077393, "test_acc5": 96.5000024987793, "epoch": 277, "n_parameters": 99271400} -{"train_lr": 2.4288531444729954e-05, "train_loss": 2.5798407864870785, "test_loss": 0.7143267344570521, "test_acc1": 83.56200254119874, "test_acc5": 96.52200262145996, "epoch": 278, "n_parameters": 99271400} -{"train_lr": 2.3078443077785567e-05, "train_loss": 2.575417499652774, "test_loss": 0.7210257833428455, "test_acc1": 83.58600246124267, "test_acc5": 96.46600247833251, "epoch": 279, "n_parameters": 99271400} -{"train_lr": 2.192120284031953e-05, "train_loss": 2.564916114119603, "test_loss": 0.7218290651499322, "test_acc1": 83.4680026171875, "test_acc5": 96.52400263122558, "epoch": 280, "n_parameters": 99271400} -{"train_lr": 2.0816937636766537e-05, "train_loss": 2.568404138612328, "test_loss": 0.7182587943971157, "test_acc1": 83.60400240325927, "test_acc5": 96.4920025265503, "epoch": 281, "n_parameters": 99271400} -{"train_lr": 1.976576856224742e-05, "train_loss": 2.5693733815452178, "test_loss": 0.7156512884592469, "test_acc1": 83.54400254882812, "test_acc5": 96.49800247406006, "epoch": 282, "n_parameters": 99271400} -{"train_lr": 1.8767810889299472e-05, "train_loss": 2.563385537428726, "test_loss": 0.7181034519365339, "test_acc1": 83.55600257720947, "test_acc5": 96.49600238433838, "epoch": 283, "n_parameters": 99271400} -{"train_lr": 1.7823174055225238e-05, "train_loss": 2.5584675414051463, "test_loss": 0.7163748603991487, "test_acc1": 83.57000262451172, "test_acc5": 96.5000025402832, "epoch": 284, "n_parameters": 99271400} -{"train_lr": 1.6931961650100128e-05, "train_loss": 2.5576122080703243, "test_loss": 0.7165574069614663, "test_acc1": 83.57400256317139, "test_acc5": 96.54200270385742, "epoch": 285, "n_parameters": 99271400} -{"train_lr": 1.609427140540658e-05, "train_loss": 2.5550617168394685, "test_loss": 0.7184151727141757, "test_acc1": 83.55200284454345, "test_acc5": 96.51600271636963, "epoch": 286, "n_parameters": 99271400} -{"train_lr": 1.5310195183320784e-05, "train_loss": 2.551888227855845, "test_loss": 0.71971087942295, "test_acc1": 83.52600262176513, "test_acc5": 96.5000022796631, "epoch": 287, "n_parameters": 99271400} -{"train_lr": 1.4579818966635116e-05, "train_loss": 2.5529152379214146, "test_loss": 0.7199640018357472, "test_acc1": 83.59200242980957, "test_acc5": 96.48600241638184, "epoch": 288, "n_parameters": 99271400} -{"train_lr": 1.3903222849333426e-05, "train_loss": 2.549595011188258, "test_loss": 0.7177853421166991, "test_acc1": 83.63600269012451, "test_acc5": 96.55800265075683, "epoch": 289, "n_parameters": 99271400} -{"train_lr": 1.3280481027803718e-05, "train_loss": 2.5539169563806885, "test_loss": 0.7181187841025266, "test_acc1": 83.6660026385498, "test_acc5": 96.51000261444092, "epoch": 290, "n_parameters": 99271400} -{"train_lr": 1.2711661792704427e-05, "train_loss": 2.545436654397719, "test_loss": 0.721064303804076, "test_acc1": 83.58400250885009, "test_acc5": 96.55200259216309, "epoch": 291, "n_parameters": 99271400} -{"train_lr": 1.2196827521475628e-05, "train_loss": 2.5415710321457077, "test_loss": 0.7195934658362106, "test_acc1": 83.57200274230956, "test_acc5": 96.5380024420166, "epoch": 292, "n_parameters": 99271400} -{"train_lr": 1.1736034671495227e-05, "train_loss": 2.5417104616082256, "test_loss": 0.7152923415556098, "test_acc1": 83.63200251708984, "test_acc5": 96.55200245269775, "epoch": 293, "n_parameters": 99271400} -{"train_lr": 1.1329333773893123e-05, "train_loss": 2.54012071471706, "test_loss": 0.7189313418824564, "test_acc1": 83.61400256072999, "test_acc5": 96.55200256896973, "epoch": 294, "n_parameters": 99271400} -{"train_lr": 1.0976769428005425e-05, "train_loss": 2.5437016500700578, "test_loss": 0.72005766827726, "test_acc1": 83.57800249481201, "test_acc5": 96.54400261779786, "epoch": 295, "n_parameters": 99271400} -{"train_lr": 1.067838029648576e-05, "train_loss": 2.5390554957276437, "test_loss": 0.7191365504016479, "test_acc1": 83.63800256042481, "test_acc5": 96.52600243591309, "epoch": 296, "n_parameters": 99271400} -{"train_lr": 1.0434199101065238e-05, "train_loss": 2.542331995473777, "test_loss": 0.7194160284530936, "test_acc1": 83.64600249542237, "test_acc5": 96.48600264373779, "epoch": 297, "n_parameters": 99271400} -{"train_lr": 1.0244252618963044e-05, "train_loss": 2.537414372324658, "test_loss": 0.7188700063323433, "test_acc1": 83.58400245849609, "test_acc5": 96.52000244293212, "epoch": 298, "n_parameters": 99271400} -{"train_lr": 1.0108561679951307e-05, "train_loss": 2.536575257408914, "test_loss": 0.7181618733500893, "test_acc1": 83.65000248077392, "test_acc5": 96.53000260192871, "epoch": 299, "n_parameters": 99271400} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt deleted file mode 100644 index 32673e493..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/svt_s.txt +++ /dev/null @@ -1,300 +0,0 @@ -{"train_lr": 1.000000000000014e-06, "train_loss": 6.9166167094230655, "test_loss": 6.881752743440516, "test_acc1": 0.18800001103878022, "test_acc5": 0.9300000336265564, "epoch": 0, "n_parameters": 24060776} -{"train_lr": 1.000000000000014e-06, "train_loss": 6.900423232269287, "test_loss": 6.852993618039524, "test_acc1": 0.41600001563549044, "test_acc5": 1.5720000462150574, "epoch": 1, "n_parameters": 24060776} -{"train_lr": 0.00040080000000000486, "train_loss": 6.646979278850555, "test_loss": 5.493567599969752, "test_acc1": 6.424000176010132, "test_acc5": 18.284000532073975, "epoch": 2, "n_parameters": 24060776} -{"train_lr": 0.0008005999999999952, "train_loss": 6.297702983379364, "test_loss": 4.646971811266506, "test_acc1": 14.610000506286621, "test_acc5": 32.9140008934021, "epoch": 3, "n_parameters": 24060776} -{"train_lr": 0.001200399999999992, "train_loss": 6.0142835487365724, "test_loss": 3.968842138262356, "test_acc1": 22.43800064086914, "test_acc5": 45.01200138336181, "epoch": 4, "n_parameters": 24060776} -{"train_lr": 0.001600200000000024, "train_loss": 5.753731050109863, "test_loss": 3.4170068081687477, "test_acc1": 30.60400089279175, "test_acc5": 55.76000146942139, "epoch": 5, "n_parameters": 24060776} -{"train_lr": 0.001998636387080776, "train_loss": 5.494997973155975, "test_loss": 2.9434911687584484, "test_acc1": 38.45400118209839, "test_acc5": 64.25200190032959, "epoch": 6, "n_parameters": 24060776} -{"train_lr": 0.001998036594786119, "train_loss": 5.245779330396652, "test_loss": 2.6588724194204105, "test_acc1": 44.24800133544922, "test_acc5": 69.74200233428955, "epoch": 7, "n_parameters": 24060776} -{"train_lr": 0.001997327904838336, "train_loss": 5.0572126257419585, "test_loss": 2.3770968151443146, "test_acc1": 48.44400132751465, "test_acc5": 73.88200233337402, "epoch": 8, "n_parameters": 24060776} -{"train_lr": 0.0019965103949532784, "train_loss": 4.904551318454742, "test_loss": 2.225582433097503, "test_acc1": 51.62800114135742, "test_acc5": 76.74000275421143, "epoch": 9, "n_parameters": 24060776} -{"train_lr": 0.0019955841547800715, "train_loss": 4.781468183612824, "test_loss": 2.1663901078350403, "test_acc1": 53.92400145446777, "test_acc5": 78.55800275604248, "epoch": 10, "n_parameters": 24060776} -{"train_lr": 0.0019945492858914225, "train_loss": 4.680502858829498, "test_loss": 2.019594290677239, "test_acc1": 56.45400156951904, "test_acc5": 80.33000265350341, "epoch": 11, "n_parameters": 24060776} -{"train_lr": 0.001993405901772395, "train_loss": 4.59881298751831, "test_loss": 1.8617978301994942, "test_acc1": 58.35600150360107, "test_acc5": 82.20000294708252, "epoch": 12, "n_parameters": 24060776} -{"train_lr": 0.001992154127807911, "train_loss": 4.521906917619705, "test_loss": 1.8242545925519045, "test_acc1": 59.48800161804199, "test_acc5": 82.6920026071167, "epoch": 13, "n_parameters": 24060776} -{"train_lr": 0.0019907941012691044, "train_loss": 4.435260578107834, "test_loss": 1.7272365518352564, "test_acc1": 61.238001587524415, "test_acc5": 84.06800270141602, "epoch": 14, "n_parameters": 24060776} -{"train_lr": 0.001989325971298189, "train_loss": 4.379169403886795, "test_loss": 1.6653209179639816, "test_acc1": 61.95000177520752, "test_acc5": 84.72800244293212, "epoch": 15, "n_parameters": 24060776} -{"train_lr": 0.0019877498988921443, "train_loss": 4.336374693012238, "test_loss": 1.6661443131811478, "test_acc1": 62.66000188110352, "test_acc5": 85.13600257629395, "epoch": 16, "n_parameters": 24060776} -{"train_lr": 0.001986066056885134, "train_loss": 4.287661607599259, "test_loss": 1.6314450318322462, "test_acc1": 63.338001997375486, "test_acc5": 85.66600270233154, "epoch": 17, "n_parameters": 24060776} -{"train_lr": 0.0019842746299294275, "train_loss": 4.267950725317001, "test_loss": 1.627405859529972, "test_acc1": 64.39200188323974, "test_acc5": 86.18800262969971, "epoch": 18, "n_parameters": 24060776} -{"train_lr": 0.001982375814475029, "train_loss": 4.2073179790973665, "test_loss": 1.5344904998646063, "test_acc1": 64.83600168060303, "test_acc5": 86.62800259613037, "epoch": 19, "n_parameters": 24060776} -{"train_lr": 0.0019803698187486067, "train_loss": 4.170451214361191, "test_loss": 1.515706536524436, "test_acc1": 65.40600167510986, "test_acc5": 87.18800308227539, "epoch": 20, "n_parameters": 24060776} -{"train_lr": 0.0019782568627301463, "train_loss": 4.151505057382583, "test_loss": 1.5197033049429165, "test_acc1": 65.99200183959961, "test_acc5": 87.19800251586913, "epoch": 21, "n_parameters": 24060776} -{"train_lr": 0.001976037178129065, "train_loss": 4.101223092460632, "test_loss": 1.5065594403182758, "test_acc1": 66.44600177764893, "test_acc5": 87.926002633667, "epoch": 22, "n_parameters": 24060776} -{"train_lr": 0.0019737110083587897, "train_loss": 4.078556677341461, "test_loss": 1.512428046149366, "test_acc1": 66.71000194793702, "test_acc5": 87.98400250091552, "epoch": 23, "n_parameters": 24060776} -{"train_lr": 0.0019712786085100747, "train_loss": 4.064126892137527, "test_loss": 1.4446257199434673, "test_acc1": 67.22000205810546, "test_acc5": 88.26000223693848, "epoch": 24, "n_parameters": 24060776} -{"train_lr": 0.0019687402453230037, "train_loss": 4.045032384777069, "test_loss": 1.4087751108933897, "test_acc1": 67.6620019091797, "test_acc5": 88.50800242401122, "epoch": 25, "n_parameters": 24060776} -{"train_lr": 0.0019660961971576228, "train_loss": 4.018140282678604, "test_loss": 1.4196882602923058, "test_acc1": 67.85400199737549, "test_acc5": 88.69200296264648, "epoch": 26, "n_parameters": 24060776} -{"train_lr": 0.0019633467539636844, "train_loss": 3.97068206987381, "test_loss": 1.3655332716948845, "test_acc1": 68.0900020135498, "test_acc5": 88.79200279815674, "epoch": 27, "n_parameters": 24060776} -{"train_lr": 0.001960492217248551, "train_loss": 3.969647033548355, "test_loss": 1.3580567639540224, "test_acc1": 68.53400197723388, "test_acc5": 89.12600251281738, "epoch": 28, "n_parameters": 24060776} -{"train_lr": 0.001957532900044391, "train_loss": 3.958447690105438, "test_loss": 1.3302292302250862, "test_acc1": 69.01000206726074, "test_acc5": 89.32800251373291, "epoch": 29, "n_parameters": 24060776} -{"train_lr": 0.001954469126873713, "train_loss": 3.9482184868335723, "test_loss": 1.323928243973676, "test_acc1": 69.10000216552734, "test_acc5": 89.20000274780273, "epoch": 30, "n_parameters": 24060776} -{"train_lr": 0.001951301233713696, "train_loss": 3.914013076925278, "test_loss": 1.3404749290031546, "test_acc1": 68.94800197845458, "test_acc5": 89.38000257781982, "epoch": 31, "n_parameters": 24060776} -{"train_lr": 0.0019480295679595446, "train_loss": 3.9075081233501434, "test_loss": 1.337514794048141, "test_acc1": 69.02000198516846, "test_acc5": 89.47000230712891, "epoch": 32, "n_parameters": 24060776} -{"train_lr": 0.0019446544883863159, "train_loss": 3.9008780443668365, "test_loss": 1.3518591978970695, "test_acc1": 69.48800206298829, "test_acc5": 89.73800237945557, "epoch": 33, "n_parameters": 24060776} -{"train_lr": 0.0019411763651094502, "train_loss": 3.88607494931221, "test_loss": 1.3361432911718594, "test_acc1": 69.41400229858398, "test_acc5": 89.79800254730225, "epoch": 34, "n_parameters": 24060776} -{"train_lr": 0.001937595579544427, "train_loss": 3.87936882815361, "test_loss": 1.3059986720190329, "test_acc1": 69.7860021069336, "test_acc5": 89.88000224334716, "epoch": 35, "n_parameters": 24060776} -{"train_lr": 0.001933912524364705, "train_loss": 3.862893263053894, "test_loss": 1.283931364031399, "test_acc1": 70.10600218200683, "test_acc5": 90.29400255249024, "epoch": 36, "n_parameters": 24060776} -{"train_lr": 0.001930127603458811, "train_loss": 3.8490426371097564, "test_loss": 1.3177739600924885, "test_acc1": 70.10800220092773, "test_acc5": 90.10200253845215, "epoch": 37, "n_parameters": 24060776} -{"train_lr": 0.0019262412318859173, "train_loss": 3.8466834062576294, "test_loss": 1.232938153340536, "test_acc1": 70.66600232482911, "test_acc5": 90.34400225433349, "epoch": 38, "n_parameters": 24060776} -{"train_lr": 0.0019222538358305567, "train_loss": 3.827103704833984, "test_loss": 1.2718385230092442, "test_acc1": 70.32000237121582, "test_acc5": 90.24400271362305, "epoch": 39, "n_parameters": 24060776} -{"train_lr": 0.001918165852555555, "train_loss": 3.8173136982917786, "test_loss": 1.2855197673334795, "test_acc1": 70.44000231872559, "test_acc5": 90.18000264129638, "epoch": 40, "n_parameters": 24060776} -{"train_lr": 0.0019139777303543795, "train_loss": 3.8115881784439085, "test_loss": 1.2495014917324572, "test_acc1": 70.86000210510254, "test_acc5": 90.62800276245117, "epoch": 41, "n_parameters": 24060776} -{"train_lr": 0.001909689928501825, "train_loss": 3.800415844297409, "test_loss": 1.2448612920501654, "test_acc1": 70.4940022277832, "test_acc5": 90.39800241790772, "epoch": 42, "n_parameters": 24060776} -{"train_lr": 0.0019053029172036804, "train_loss": 3.7942633907318117, "test_loss": 1.304453775724944, "test_acc1": 70.66200229064941, "test_acc5": 90.31600246917725, "epoch": 43, "n_parameters": 24060776} -{"train_lr": 0.0019008171775451953, "train_loss": 3.785053808116913, "test_loss": 1.2751891472760368, "test_acc1": 71.02800188690186, "test_acc5": 90.51800257781983, "epoch": 44, "n_parameters": 24060776} -{"train_lr": 0.0018962332014382086, "train_loss": 3.7779406859397886, "test_loss": 1.256242101683336, "test_acc1": 71.10400210632324, "test_acc5": 90.67800259735107, "epoch": 45, "n_parameters": 24060776} -{"train_lr": 0.001891551491567408, "train_loss": 3.766445387983322, "test_loss": 1.239571056821767, "test_acc1": 71.29200198059083, "test_acc5": 90.7600029296875, "epoch": 46, "n_parameters": 24060776} -{"train_lr": 0.0018867725613350525, "train_loss": 3.764039206647873, "test_loss": 1.2255342799951048, "test_acc1": 71.40000254608154, "test_acc5": 90.788002444458, "epoch": 47, "n_parameters": 24060776} -{"train_lr": 0.0018818969348046717, "train_loss": 3.7626554797649385, "test_loss": 1.2046179135932642, "test_acc1": 71.31800252075195, "test_acc5": 90.7840027319336, "epoch": 48, "n_parameters": 24060776} -{"train_lr": 0.0018769251466436497, "train_loss": 3.7567674448013304, "test_loss": 1.240899144726641, "test_acc1": 71.6120024685669, "test_acc5": 90.88200266967773, "epoch": 49, "n_parameters": 24060776} -{"train_lr": 0.0018718577420645882, "train_loss": 3.7442022063732145, "test_loss": 1.2042890506632187, "test_acc1": 71.8620024572754, "test_acc5": 90.96200265838623, "epoch": 50, "n_parameters": 24060776} -{"train_lr": 0.0018666952767655116, "train_loss": 3.7372916756153107, "test_loss": 1.239381478551556, "test_acc1": 71.58400232452392, "test_acc5": 90.91200248779298, "epoch": 51, "n_parameters": 24060776} -{"train_lr": 0.0018614383168689146, "train_loss": 3.7368017967224123, "test_loss": 1.2019954591112978, "test_acc1": 71.93400228485108, "test_acc5": 91.08600230407716, "epoch": 52, "n_parameters": 24060776} -{"train_lr": 0.0018560874388596986, "train_loss": 3.7272206943035124, "test_loss": 1.198340868248659, "test_acc1": 72.0080024911499, "test_acc5": 91.15400258361817, "epoch": 53, "n_parameters": 24060776} -{"train_lr": 0.0018506432295219242, "train_loss": 3.7124100513935088, "test_loss": 1.236672550878104, "test_acc1": 71.85000258178711, "test_acc5": 91.0880025088501, "epoch": 54, "n_parameters": 24060776} -{"train_lr": 0.0018451062858745107, "train_loss": 3.711307235050201, "test_loss": 1.220296363620197, "test_acc1": 71.89400233032227, "test_acc5": 91.1480024746704, "epoch": 55, "n_parameters": 24060776} -{"train_lr": 0.0018394772151057051, "train_loss": 3.7108225484848023, "test_loss": 1.2157226231168299, "test_acc1": 71.6260023980713, "test_acc5": 91.08600271453858, "epoch": 56, "n_parameters": 24060776} -{"train_lr": 0.00183375663450656, "train_loss": 3.702996884870529, "test_loss": 1.2031928839928963, "test_acc1": 72.16000268432617, "test_acc5": 91.19000211486816, "epoch": 57, "n_parameters": 24060776} -{"train_lr": 0.0018279451714031726, "train_loss": 3.690967625951767, "test_loss": 1.1789220457567888, "test_acc1": 72.29800241912842, "test_acc5": 91.28200258850097, "epoch": 58, "n_parameters": 24060776} -{"train_lr": 0.0018220434630880139, "train_loss": 3.690345864868164, "test_loss": 1.2127124382292522, "test_acc1": 72.22800251800537, "test_acc5": 91.21000251586914, "epoch": 59, "n_parameters": 24060776} -{"train_lr": 0.001816052156749922, "train_loss": 3.6691210823059084, "test_loss": 1.1745089673820663, "test_acc1": 72.60000229003906, "test_acc5": 91.36400236358642, "epoch": 60, "n_parameters": 24060776} -{"train_lr": 0.0018099719094030562, "train_loss": 3.6857360043048857, "test_loss": 1.17949009248439, "test_acc1": 72.60600227539062, "test_acc5": 91.58400256103516, "epoch": 61, "n_parameters": 24060776} -{"train_lr": 0.0018038033878151612, "train_loss": 3.681564307641983, "test_loss": 1.2064301472376375, "test_acc1": 72.43400242401123, "test_acc5": 91.33400244628906, "epoch": 62, "n_parameters": 24060776} -{"train_lr": 0.0017975472684340769, "train_loss": 3.6749915835380556, "test_loss": 1.1882389367503279, "test_acc1": 72.79400222808837, "test_acc5": 91.43800262512207, "epoch": 63, "n_parameters": 24060776} -{"train_lr": 0.001791204237313821, "train_loss": 3.6677514231681823, "test_loss": 1.1636096872389317, "test_acc1": 72.53400211608887, "test_acc5": 91.50800287902833, "epoch": 64, "n_parameters": 24060776} -{"train_lr": 0.0017847749900392373, "train_loss": 3.656789074087143, "test_loss": 1.1444934383034706, "test_acc1": 72.68400236694336, "test_acc5": 91.68600235687256, "epoch": 65, "n_parameters": 24060776} -{"train_lr": 0.0017782602316496962, "train_loss": 3.6495708696365354, "test_loss": 1.1631326828809345, "test_acc1": 72.86600260314941, "test_acc5": 91.8760027178955, "epoch": 66, "n_parameters": 24060776} -{"train_lr": 0.001771660676561891, "train_loss": 3.6531589543819427, "test_loss": 1.1662686480318798, "test_acc1": 72.84800252716065, "test_acc5": 91.5600028237915, "epoch": 67, "n_parameters": 24060776} -{"train_lr": 0.0017649770484914644, "train_loss": 3.63984654417038, "test_loss": 1.153731965843369, "test_acc1": 72.90800252777099, "test_acc5": 91.7560025946045, "epoch": 68, "n_parameters": 24060776} -{"train_lr": 0.001758210080373487, "train_loss": 3.6493537393093107, "test_loss": 1.1483346298336983, "test_acc1": 72.80200252746582, "test_acc5": 91.73400281188965, "epoch": 69, "n_parameters": 24060776} -{"train_lr": 0.0017513605142822869, "train_loss": 3.661183917617798, "test_loss": 1.1389450049575638, "test_acc1": 73.13600254882813, "test_acc5": 91.81400260620117, "epoch": 70, "n_parameters": 24060776} -{"train_lr": 0.0017444291013499953, "train_loss": 3.6198657208919527, "test_loss": 1.147565570386017, "test_acc1": 73.06400236083985, "test_acc5": 91.72800247192383, "epoch": 71, "n_parameters": 24060776} -{"train_lr": 0.0017374166016841382, "train_loss": 3.62926415977478, "test_loss": 1.1078796627766945, "test_acc1": 73.21400230194092, "test_acc5": 91.84600241882325, "epoch": 72, "n_parameters": 24060776} -{"train_lr": 0.0017303237842842885, "train_loss": 3.626613400030136, "test_loss": 1.1461321439813166, "test_acc1": 72.93600219665527, "test_acc5": 91.84200233245849, "epoch": 73, "n_parameters": 24060776} -{"train_lr": 0.0017231514269578777, "train_loss": 3.6251906237125398, "test_loss": 1.1479054658728487, "test_acc1": 73.0160024533081, "test_acc5": 91.94800230377197, "epoch": 74, "n_parameters": 24060776} -{"train_lr": 0.0017159003162346125, "train_loss": 3.6187302713394165, "test_loss": 1.1150442331152803, "test_acc1": 73.31800271942139, "test_acc5": 92.03200229522704, "epoch": 75, "n_parameters": 24060776} -{"train_lr": 0.0017085712472806275, "train_loss": 3.62776505856514, "test_loss": 1.1436731403364855, "test_acc1": 73.49000243377685, "test_acc5": 91.84800264801025, "epoch": 76, "n_parameters": 24060776} -{"train_lr": 0.0017011650238107929, "train_loss": 3.606157405996323, "test_loss": 1.1571928551968407, "test_acc1": 73.45600257354737, "test_acc5": 91.80200253112793, "epoch": 77, "n_parameters": 24060776} -{"train_lr": 0.0016936824580010494, "train_loss": 3.60817825756073, "test_loss": 1.162386427030844, "test_acc1": 73.42600253082276, "test_acc5": 91.9840027142334, "epoch": 78, "n_parameters": 24060776} -{"train_lr": 0.0016861243703990485, "train_loss": 3.599230665206909, "test_loss": 1.1546368568259127, "test_acc1": 73.49600245422363, "test_acc5": 91.99800243591308, "epoch": 79, "n_parameters": 24060776} -{"train_lr": 0.0016784915898342418, "train_loss": 3.592446541070938, "test_loss": 1.125449493089143, "test_acc1": 73.43200249298096, "test_acc5": 92.00000242462158, "epoch": 80, "n_parameters": 24060776} -{"train_lr": 0.0016707849533270642, "train_loss": 3.5927129752159117, "test_loss": 1.098768092253629, "test_acc1": 73.60400255096435, "test_acc5": 92.0580027005005, "epoch": 81, "n_parameters": 24060776} -{"train_lr": 0.001663005305997046, "train_loss": 3.602129011297226, "test_loss": 1.114987500011921, "test_acc1": 73.7180024685669, "test_acc5": 91.95800263458251, "epoch": 82, "n_parameters": 24060776} -{"train_lr": 0.0016551535009701407, "train_loss": 3.597127219581604, "test_loss": 1.1116552865680527, "test_acc1": 73.65400266357422, "test_acc5": 92.1380025579834, "epoch": 83, "n_parameters": 24060776} -{"train_lr": 0.0016472303992853554, "train_loss": 3.5740158974170684, "test_loss": 1.117265543955214, "test_acc1": 73.76000233062744, "test_acc5": 92.19600259735107, "epoch": 84, "n_parameters": 24060776} -{"train_lr": 0.001639236869799943, "train_loss": 3.580967625141144, "test_loss": 1.0862789557260626, "test_acc1": 73.90200251159668, "test_acc5": 92.27400269256592, "epoch": 85, "n_parameters": 24060776} -{"train_lr": 0.0016311737890946031, "train_loss": 3.579974809885025, "test_loss": 1.0995022764100748, "test_acc1": 74.06400247436524, "test_acc5": 92.17600222076416, "epoch": 86, "n_parameters": 24060776} -{"train_lr": 0.0016230420413768944, "train_loss": 3.5662746621131896, "test_loss": 1.1001221401726498, "test_acc1": 73.94800250854492, "test_acc5": 92.29200244995117, "epoch": 87, "n_parameters": 24060776} -{"train_lr": 0.0016148425183847227, "train_loss": 3.5736359107494353, "test_loss": 1.1032882613294266, "test_acc1": 74.104002477417, "test_acc5": 92.38400256195068, "epoch": 88, "n_parameters": 24060776} -{"train_lr": 0.0016065761192880518, "train_loss": 3.557867079925537, "test_loss": 1.1055961032124126, "test_acc1": 74.068002494812, "test_acc5": 92.24600245483398, "epoch": 89, "n_parameters": 24060776} -{"train_lr": 0.0015982437505908042, "train_loss": 3.5662115569114685, "test_loss": 1.116521678864956, "test_acc1": 73.9920023361206, "test_acc5": 92.28800225280762, "epoch": 90, "n_parameters": 24060776} -{"train_lr": 0.0015898463260309926, "train_loss": 3.546019986820221, "test_loss": 1.1040287990780437, "test_acc1": 73.8380027154541, "test_acc5": 92.1200024911499, "epoch": 91, "n_parameters": 24060776} -{"train_lr": 0.0015813847664809548, "train_loss": 3.5581035816669466, "test_loss": 1.089250824030708, "test_acc1": 74.08800243347169, "test_acc5": 92.44000259490967, "epoch": 92, "n_parameters": 24060776} -{"train_lr": 0.0015728599998460196, "train_loss": 3.5549770357608796, "test_loss": 1.114586026791264, "test_acc1": 74.32600274963379, "test_acc5": 92.36400252502442, "epoch": 93, "n_parameters": 24060776} -{"train_lr": 0.0015642729609628499, "train_loss": 3.549670159292221, "test_loss": 1.0737833463970352, "test_acc1": 74.2320023864746, "test_acc5": 92.33000275360108, "epoch": 94, "n_parameters": 24060776} -{"train_lr": 0.0015556245914971397, "train_loss": 3.5427517813682554, "test_loss": 1.0950794636326677, "test_acc1": 74.25400249389648, "test_acc5": 92.32800259735107, "epoch": 95, "n_parameters": 24060776} -{"train_lr": 0.00154691583983993, "train_loss": 3.5431187509059905, "test_loss": 1.0913036152282183, "test_acc1": 74.30400260894775, "test_acc5": 92.35800246643066, "epoch": 96, "n_parameters": 24060776} -{"train_lr": 0.0015381476610041088, "train_loss": 3.5325412004947663, "test_loss": 1.0883901224416845, "test_acc1": 74.53200227142334, "test_acc5": 92.46000242004395, "epoch": 97, "n_parameters": 24060776} -{"train_lr": 0.001529321016519175, "train_loss": 3.524828980207443, "test_loss": 1.0630833936088226, "test_acc1": 74.52600241577149, "test_acc5": 92.49600267028809, "epoch": 98, "n_parameters": 24060776} -{"train_lr": 0.001520436874326258, "train_loss": 3.533720420265198, "test_loss": 1.0606782313655405, "test_acc1": 74.65800271087646, "test_acc5": 92.54800271820068, "epoch": 99, "n_parameters": 24060776} -{"train_lr": 0.0015114962086716307, "train_loss": 3.52910909781456, "test_loss": 1.1064581123783308, "test_acc1": 74.4940024822998, "test_acc5": 92.49000246612549, "epoch": 100, "n_parameters": 24060776} -{"train_lr": 0.001502499999999986, "train_loss": 3.5209153161525726, "test_loss": 1.083836399457034, "test_acc1": 74.59000236938476, "test_acc5": 92.52600271697997, "epoch": 101, "n_parameters": 24060776} -{"train_lr": 0.0014934492348470658, "train_loss": 3.5140959153175353, "test_loss": 1.0608078431995476, "test_acc1": 74.6780026184082, "test_acc5": 92.68800236358642, "epoch": 102, "n_parameters": 24060776} -{"train_lr": 0.0014843449057312158, "train_loss": 3.5030298513412474, "test_loss": 1.0601765807060635, "test_acc1": 74.8980026739502, "test_acc5": 92.80800306640624, "epoch": 103, "n_parameters": 24060776} -{"train_lr": 0.0014751880110447145, "train_loss": 3.5047485358715056, "test_loss": 1.0837295077302878, "test_acc1": 74.4460025881958, "test_acc5": 92.74000272033692, "epoch": 104, "n_parameters": 24060776} -{"train_lr": 0.001465979554944238, "train_loss": 3.4969673835754396, "test_loss": 1.045976003522382, "test_acc1": 74.81800274169922, "test_acc5": 92.84200243560791, "epoch": 105, "n_parameters": 24060776} -{"train_lr": 0.0014567205472408619, "train_loss": 3.4947465202331545, "test_loss": 1.0575545715058552, "test_acc1": 74.9720025137329, "test_acc5": 92.74800259765625, "epoch": 106, "n_parameters": 24060776} -{"train_lr": 0.0014474120032890111, "train_loss": 3.4866513182640078, "test_loss": 1.0833317834664793, "test_acc1": 75.08600245727538, "test_acc5": 92.9200026171875, "epoch": 107, "n_parameters": 24060776} -{"train_lr": 0.0014380549438754759, "train_loss": 3.4928877485275267, "test_loss": 1.0712292632635902, "test_acc1": 74.71000227478028, "test_acc5": 92.56200260559082, "epoch": 108, "n_parameters": 24060776} -{"train_lr": 0.0014286503951072302, "train_loss": 3.4879446826934815, "test_loss": 1.0612621292033617, "test_acc1": 75.00400277282715, "test_acc5": 92.82000261169433, "epoch": 109, "n_parameters": 24060776} -{"train_lr": 0.0014191993882991215, "train_loss": 3.490210386133194, "test_loss": 1.0686360347796888, "test_acc1": 74.72600255767823, "test_acc5": 92.68400239624023, "epoch": 110, "n_parameters": 24060776} -{"train_lr": 0.0014097029598604254, "train_loss": 3.495980357027054, "test_loss": 1.0843131910352146, "test_acc1": 74.91000248168945, "test_acc5": 92.77400241027831, "epoch": 111, "n_parameters": 24060776} -{"train_lr": 0.0014001621511816294, "train_loss": 3.4842470292091368, "test_loss": 1.0469959766110952, "test_acc1": 75.23200276000976, "test_acc5": 92.85800272369384, "epoch": 112, "n_parameters": 24060776} -{"train_lr": 0.0013905780085198332, "train_loss": 3.486410746097565, "test_loss": 1.0567690173492712, "test_acc1": 75.24000270202637, "test_acc5": 92.88200241638184, "epoch": 113, "n_parameters": 24060776} -{"train_lr": 0.0013809515828843947, "train_loss": 3.463459220743179, "test_loss": 1.0538350540925474, "test_acc1": 75.00400277160645, "test_acc5": 92.8300025302124, "epoch": 114, "n_parameters": 24060776} -{"train_lr": 0.001371283929921252, "train_loss": 3.464604772949219, "test_loss": 1.0445050680462051, "test_acc1": 75.04200235229492, "test_acc5": 92.76400255859375, "epoch": 115, "n_parameters": 24060776} -{"train_lr": 0.0013615761097975846, "train_loss": 3.4690242257595063, "test_loss": 1.0301403867847778, "test_acc1": 75.76600255401611, "test_acc5": 93.14600285705566, "epoch": 116, "n_parameters": 24060776} -{"train_lr": 0.0013518291870852068, "train_loss": 3.465022758769989, "test_loss": 1.0442009020377607, "test_acc1": 75.10200258605957, "test_acc5": 93.05400248046875, "epoch": 117, "n_parameters": 24060776} -{"train_lr": 0.001342044230644075, "train_loss": 3.463448742389679, "test_loss": 1.0583439679706799, "test_acc1": 75.43600263244629, "test_acc5": 93.04200228240967, "epoch": 118, "n_parameters": 24060776} -{"train_lr": 0.0013322223135049062, "train_loss": 3.4645725327014922, "test_loss": 1.0494964149068384, "test_acc1": 75.35000280914306, "test_acc5": 93.04800282409668, "epoch": 119, "n_parameters": 24060776} -{"train_lr": 0.0013223645127515833, "train_loss": 3.4526724152565, "test_loss": 1.0320951680050177, "test_acc1": 75.56000235961915, "test_acc5": 93.0640027041626, "epoch": 120, "n_parameters": 24060776} -{"train_lr": 0.0013124719094030836, "train_loss": 3.4423542462348937, "test_loss": 1.0067301872460281, "test_acc1": 75.50600233917237, "test_acc5": 93.22400275421143, "epoch": 121, "n_parameters": 24060776} -{"train_lr": 0.0013025455882947966, "train_loss": 3.4484040131568907, "test_loss": 1.027910668622045, "test_acc1": 75.63800263061523, "test_acc5": 93.19200267852783, "epoch": 122, "n_parameters": 24060776} -{"train_lr": 0.0012925866379597335, "train_loss": 3.4436418500900268, "test_loss": 1.055384565363912, "test_acc1": 75.69000250579833, "test_acc5": 93.11400228240967, "epoch": 123, "n_parameters": 24060776} -{"train_lr": 0.0012825961505090464, "train_loss": 3.4325346589803694, "test_loss": 1.0573203888009577, "test_acc1": 75.61400264587402, "test_acc5": 93.15600255950928, "epoch": 124, "n_parameters": 24060776} -{"train_lr": 0.0012725752215121742, "train_loss": 3.4347517476558687, "test_loss": 1.021550266619991, "test_acc1": 75.742002890625, "test_acc5": 93.29400258331299, "epoch": 125, "n_parameters": 24060776} -{"train_lr": 0.0012625249498769997, "train_loss": 3.436091033124924, "test_loss": 1.0217115804553032, "test_acc1": 75.91400275634766, "test_acc5": 93.18400282958984, "epoch": 126, "n_parameters": 24060776} -{"train_lr": 0.001252446437729036, "train_loss": 3.427793058347702, "test_loss": 0.9976771066293997, "test_acc1": 76.09400249481202, "test_acc5": 93.25800284423828, "epoch": 127, "n_parameters": 24060776} -{"train_lr": 0.0012423407902906966, "train_loss": 3.4245526940345763, "test_loss": 1.0459706551011871, "test_acc1": 75.89000255371094, "test_acc5": 93.18800255615234, "epoch": 128, "n_parameters": 24060776} -{"train_lr": 0.0012322091157600879, "train_loss": 3.430437005186081, "test_loss": 1.0522872292820145, "test_acc1": 75.86600251739502, "test_acc5": 93.2860024255371, "epoch": 129, "n_parameters": 24060776} -{"train_lr": 0.0012220525251895782, "train_loss": 3.4223583642959596, "test_loss": 1.0289067827603395, "test_acc1": 76.14400255218506, "test_acc5": 93.24000299987793, "epoch": 130, "n_parameters": 24060776} -{"train_lr": 0.0012118721323636577, "train_loss": 3.410122365903854, "test_loss": 1.019859840545584, "test_acc1": 76.02200224975586, "test_acc5": 93.39200264709473, "epoch": 131, "n_parameters": 24060776} -{"train_lr": 0.0012016690536772385, "train_loss": 3.4137479061603546, "test_loss": 1.0151899917160763, "test_acc1": 75.86400272399902, "test_acc5": 93.34200269226075, "epoch": 132, "n_parameters": 24060776} -{"train_lr": 0.0011914444080127838, "train_loss": 3.407684290075302, "test_loss": 0.9923640984822722, "test_acc1": 76.36400266021728, "test_acc5": 93.26400254730224, "epoch": 133, "n_parameters": 24060776} -{"train_lr": 0.0011811993166179777, "train_loss": 3.4087041523933412, "test_loss": 1.0404122717240278, "test_acc1": 75.83400249572755, "test_acc5": 93.10000243316651, "epoch": 134, "n_parameters": 24060776} -{"train_lr": 0.0011709349029825147, "train_loss": 3.4013408422470093, "test_loss": 0.9977016952984473, "test_acc1": 76.46800244262695, "test_acc5": 93.46600258087159, "epoch": 135, "n_parameters": 24060776} -{"train_lr": 0.0011606522927150125, "train_loss": 3.3992310399532317, "test_loss": 0.9995682335951749, "test_acc1": 76.09200248962402, "test_acc5": 93.38400222412109, "epoch": 136, "n_parameters": 24060776} -{"train_lr": 0.0011503526134195895, "train_loss": 3.3911259288311006, "test_loss": 1.020989308900693, "test_acc1": 76.25400270172119, "test_acc5": 93.37800226013184, "epoch": 137, "n_parameters": 24060776} -{"train_lr": 0.0011400369945721316, "train_loss": 3.3993113310813903, "test_loss": 1.0080834962427616, "test_acc1": 75.9660025341797, "test_acc5": 93.3320024307251, "epoch": 138, "n_parameters": 24060776} -{"train_lr": 0.0011297065673964897, "train_loss": 3.3934247528553008, "test_loss": 0.9854670585516621, "test_acc1": 76.31400275848388, "test_acc5": 93.4480026538086, "epoch": 139, "n_parameters": 24060776} -{"train_lr": 0.0011193624647404161, "train_loss": 3.378026663303375, "test_loss": 1.022056404282065, "test_acc1": 76.22400234832763, "test_acc5": 93.42400248382569, "epoch": 140, "n_parameters": 24060776} -{"train_lr": 0.0011090058209513058, "train_loss": 3.3800984645366667, "test_loss": 1.000492707333144, "test_acc1": 76.4220021585083, "test_acc5": 93.42000254730225, "epoch": 141, "n_parameters": 24060776} -{"train_lr": 0.0010986377717519076, "train_loss": 3.3625669416427613, "test_loss": 1.021471725667224, "test_acc1": 76.52200283050537, "test_acc5": 93.45000220367432, "epoch": 142, "n_parameters": 24060776} -{"train_lr": 0.0010882594541156475, "train_loss": 3.374408367919922, "test_loss": 1.0017956258619534, "test_acc1": 76.65200235321045, "test_acc5": 93.5180024975586, "epoch": 143, "n_parameters": 24060776} -{"train_lr": 0.0010778720061419887, "train_loss": 3.3651008793354036, "test_loss": 0.9814505147583344, "test_acc1": 76.89400262054443, "test_acc5": 93.55600265563965, "epoch": 144, "n_parameters": 24060776} -{"train_lr": 0.0010674765669316634, "train_loss": 3.3630545991420746, "test_loss": 1.0253348048118984, "test_acc1": 76.58000262634278, "test_acc5": 93.54000242828369, "epoch": 145, "n_parameters": 24060776} -{"train_lr": 0.0010570742764617331, "train_loss": 3.348891470623016, "test_loss": 0.9857402042869259, "test_acc1": 76.71000230010986, "test_acc5": 93.63800242279052, "epoch": 146, "n_parameters": 24060776} -{"train_lr": 0.0010466662754605642, "train_loss": 3.3558529409885405, "test_loss": 0.9838603502687286, "test_acc1": 76.69600257415772, "test_acc5": 93.65000240234374, "epoch": 147, "n_parameters": 24060776} -{"train_lr": 0.0010362537052827404, "train_loss": 3.356507388305664, "test_loss": 0.9974370817927753, "test_acc1": 76.94400266601562, "test_acc5": 93.69800255004883, "epoch": 148, "n_parameters": 24060776} -{"train_lr": 0.001025837707783939, "train_loss": 3.3387598375797274, "test_loss": 0.9709449651486733, "test_acc1": 76.90000268554688, "test_acc5": 93.70200269287109, "epoch": 149, "n_parameters": 24060776} -{"train_lr": 0.0010154194251956715, "train_loss": 3.345292666196823, "test_loss": 0.9872677909100757, "test_acc1": 76.90800243743897, "test_acc5": 93.64000257476806, "epoch": 150, "n_parameters": 24060776} -{"train_lr": 0.0010049999999999998, "train_loss": 3.3393073055028917, "test_loss": 0.9797473146634943, "test_acc1": 76.73400262756347, "test_acc5": 93.56600287139892, "epoch": 151, "n_parameters": 24060776} -{"train_lr": 0.0009945805748043269, "train_loss": 3.3369671110153196, "test_loss": 1.038137612535673, "test_acc1": 76.80400253204346, "test_acc5": 93.6980026977539, "epoch": 152, "n_parameters": 24060776} -{"train_lr": 0.0009841622922160595, "train_loss": 3.327324185681343, "test_loss": 0.9876593588029637, "test_acc1": 76.93000255981445, "test_acc5": 93.75200281860351, "epoch": 153, "n_parameters": 24060776} -{"train_lr": 0.0009737462947172567, "train_loss": 3.336168287563324, "test_loss": 0.9624312252682798, "test_acc1": 77.1140024987793, "test_acc5": 93.83600279022217, "epoch": 154, "n_parameters": 24060776} -{"train_lr": 0.0009633337245394507, "train_loss": 3.328570737862587, "test_loss": 0.9804818551330006, "test_acc1": 77.0160024230957, "test_acc5": 93.69800281463623, "epoch": 155, "n_parameters": 24060776} -{"train_lr": 0.0009529257235382671, "train_loss": 3.3144366824150087, "test_loss": 0.9502530746600207, "test_acc1": 77.18400264556885, "test_acc5": 93.868002366333, "epoch": 156, "n_parameters": 24060776} -{"train_lr": 0.0009425234330683322, "train_loss": 3.3117440662384032, "test_loss": 0.9810147140832508, "test_acc1": 77.17600232208252, "test_acc5": 93.86000261657715, "epoch": 157, "n_parameters": 24060776} -{"train_lr": 0.0009321279938580015, "train_loss": 3.3013134874582293, "test_loss": 0.973507409586626, "test_acc1": 77.21600239196778, "test_acc5": 93.78000253143311, "epoch": 158, "n_parameters": 24060776} -{"train_lr": 0.0009217405458843428, "train_loss": 3.3196940386295317, "test_loss": 0.9699762349619585, "test_acc1": 77.27200255401611, "test_acc5": 93.75400239685058, "epoch": 159, "n_parameters": 24060776} -{"train_lr": 0.0009113622282480682, "train_loss": 3.2962386468410494, "test_loss": 0.9723951086840209, "test_acc1": 77.15200243469238, "test_acc5": 93.74200271850586, "epoch": 160, "n_parameters": 24060776} -{"train_lr": 0.0009009941790486906, "train_loss": 3.2809381457328795, "test_loss": 0.9614666231414851, "test_acc1": 77.33800209320069, "test_acc5": 93.85200254699707, "epoch": 161, "n_parameters": 24060776} -{"train_lr": 0.0008906375352595949, "train_loss": 3.2938072096824644, "test_loss": 0.945329600616413, "test_acc1": 77.57400252044678, "test_acc5": 94.02800244110108, "epoch": 162, "n_parameters": 24060776} -{"train_lr": 0.0008802934326035285, "train_loss": 3.285282761454582, "test_loss": 0.9803441872491556, "test_acc1": 77.37600261535644, "test_acc5": 93.92000219024658, "epoch": 163, "n_parameters": 24060776} -{"train_lr": 0.0008699630054278571, "train_loss": 3.2844683326244355, "test_loss": 0.9757397643783513, "test_acc1": 77.33600222839355, "test_acc5": 94.07400265655518, "epoch": 164, "n_parameters": 24060776} -{"train_lr": 0.0008596473865803981, "train_loss": 3.2847325788259507, "test_loss": 0.9562812053105411, "test_acc1": 77.50000262115479, "test_acc5": 94.0660023388672, "epoch": 165, "n_parameters": 24060776} -{"train_lr": 0.0008493477072849636, "train_loss": 3.264977339196205, "test_loss": 0.9550964650424087, "test_acc1": 77.62000256835937, "test_acc5": 93.95400270111084, "epoch": 166, "n_parameters": 24060776} -{"train_lr": 0.0008390650970174776, "train_loss": 3.2760128929376604, "test_loss": 0.9665662359227153, "test_acc1": 77.58600280578614, "test_acc5": 94.04400263427735, "epoch": 167, "n_parameters": 24060776} -{"train_lr": 0.0008288006833820217, "train_loss": 3.273647622013092, "test_loss": 0.9600481292342439, "test_acc1": 77.5160024560547, "test_acc5": 94.0800025756836, "epoch": 168, "n_parameters": 24060776} -{"train_lr": 0.0008185555919871931, "train_loss": 3.2614001895189286, "test_loss": 0.9752604218528551, "test_acc1": 77.59600257415771, "test_acc5": 94.05400249450683, "epoch": 169, "n_parameters": 24060776} -{"train_lr": 0.0008083309463227669, "train_loss": 3.2544484308719634, "test_loss": 0.95275148354909, "test_acc1": 77.80200251037597, "test_acc5": 94.026002210083, "epoch": 170, "n_parameters": 24060776} -{"train_lr": 0.0007981278676363329, "train_loss": 3.256652809739113, "test_loss": 0.9301182000952608, "test_acc1": 77.72600236785888, "test_acc5": 94.12000233856202, "epoch": 171, "n_parameters": 24060776} -{"train_lr": 0.000787947474810435, "train_loss": 3.2533969632864, "test_loss": 0.9429285456152523, "test_acc1": 77.74600251800537, "test_acc5": 94.03200240783691, "epoch": 172, "n_parameters": 24060776} -{"train_lr": 0.000777790884239903, "train_loss": 3.2360725125312806, "test_loss": 0.9364173230441177, "test_acc1": 77.8980025466919, "test_acc5": 94.15800250915527, "epoch": 173, "n_parameters": 24060776} -{"train_lr": 0.0007676592097093228, "train_loss": 3.241344998216629, "test_loss": 0.9427708867279923, "test_acc1": 77.73600264373779, "test_acc5": 94.2380024835205, "epoch": 174, "n_parameters": 24060776} -{"train_lr": 0.0007575535622709732, "train_loss": 3.238805597805977, "test_loss": 0.9472836913431392, "test_acc1": 77.89200235656739, "test_acc5": 94.35200269561767, "epoch": 175, "n_parameters": 24060776} -{"train_lr": 0.0007474750501230004, "train_loss": 3.2299133148193357, "test_loss": 0.9611094317892018, "test_acc1": 77.86600240661622, "test_acc5": 94.190002315979, "epoch": 176, "n_parameters": 24060776} -{"train_lr": 0.0007374247784878152, "train_loss": 3.229068300175667, "test_loss": 0.9291485635673299, "test_acc1": 77.8780025479126, "test_acc5": 94.28400234954835, "epoch": 177, "n_parameters": 24060776} -{"train_lr": 0.0007274038494909776, "train_loss": 3.2256946609497072, "test_loss": 0.9189043340875822, "test_acc1": 77.91800216369629, "test_acc5": 94.23600242218018, "epoch": 178, "n_parameters": 24060776} -{"train_lr": 0.0007174133620402438, "train_loss": 3.2183942447185516, "test_loss": 0.9384088590741158, "test_acc1": 77.96200249542237, "test_acc5": 94.32200288757325, "epoch": 179, "n_parameters": 24060776} -{"train_lr": 0.0007074544117051817, "train_loss": 3.218274015212059, "test_loss": 0.9233401509768823, "test_acc1": 78.15200258575439, "test_acc5": 94.34800235290527, "epoch": 180, "n_parameters": 24060776} -{"train_lr": 0.0006975280905969228, "train_loss": 3.220000801372528, "test_loss": 0.9407864020151251, "test_acc1": 78.30400269348145, "test_acc5": 94.31800248443604, "epoch": 181, "n_parameters": 24060776} -{"train_lr": 0.0006876354872484249, "train_loss": 3.21998771750927, "test_loss": 0.9417335248607046, "test_acc1": 78.18600238128663, "test_acc5": 94.23400238128661, "epoch": 182, "n_parameters": 24060776} -{"train_lr": 0.0006777776864951158, "train_loss": 3.212000329113007, "test_loss": 0.9416200102252119, "test_acc1": 78.30800277801514, "test_acc5": 94.43400261413574, "epoch": 183, "n_parameters": 24060776} -{"train_lr": 0.0006679557693559266, "train_loss": 3.2038716550827027, "test_loss": 0.9187625460326672, "test_acc1": 78.18400229156494, "test_acc5": 94.34600243896485, "epoch": 184, "n_parameters": 24060776} -{"train_lr": 0.0006581708129148005, "train_loss": 3.1808424550533294, "test_loss": 0.9150933912571739, "test_acc1": 78.42000215515137, "test_acc5": 94.44200275451661, "epoch": 185, "n_parameters": 24060776} -{"train_lr": 0.0006484238902024218, "train_loss": 3.1933316382169723, "test_loss": 0.9193186468499548, "test_acc1": 78.21400234191894, "test_acc5": 94.29600294952392, "epoch": 186, "n_parameters": 24060776} -{"train_lr": 0.0006387160700787467, "train_loss": 3.187587259864807, "test_loss": 0.9367338975562769, "test_acc1": 78.4080025692749, "test_acc5": 94.41400222167968, "epoch": 187, "n_parameters": 24060776} -{"train_lr": 0.0006290484171156273, "train_loss": 3.1720391634702683, "test_loss": 0.9106168755713631, "test_acc1": 78.61000249572754, "test_acc5": 94.4480024533081, "epoch": 188, "n_parameters": 24060776} -{"train_lr": 0.0006194219914801667, "train_loss": 3.1721621601581576, "test_loss": 0.9002739804632524, "test_acc1": 78.63200262451171, "test_acc5": 94.49000270996093, "epoch": 189, "n_parameters": 24060776} -{"train_lr": 0.0006098378488184019, "train_loss": 3.1811760423898696, "test_loss": 0.8978411765659556, "test_acc1": 78.7200027609253, "test_acc5": 94.51200264038086, "epoch": 190, "n_parameters": 24060776} -{"train_lr": 0.0006002970401395845, "train_loss": 3.166376214528084, "test_loss": 0.9016197507872301, "test_acc1": 78.66400244293213, "test_acc5": 94.52200234680176, "epoch": 191, "n_parameters": 24060776} -{"train_lr": 0.0005908006117009099, "train_loss": 3.1584978595256805, "test_loss": 0.9003823051119552, "test_acc1": 78.60000202789307, "test_acc5": 94.4740023751831, "epoch": 192, "n_parameters": 24060776} -{"train_lr": 0.0005813496048927555, "train_loss": 3.1656769963741302, "test_loss": 0.9072828507598709, "test_acc1": 78.61000254394531, "test_acc5": 94.474002684021, "epoch": 193, "n_parameters": 24060776} -{"train_lr": 0.0005719450561245304, "train_loss": 3.144218593072891, "test_loss": 0.900764509158976, "test_acc1": 78.82000295013428, "test_acc5": 94.5360021899414, "epoch": 194, "n_parameters": 24060776} -{"train_lr": 0.0005625879967109951, "train_loss": 3.152846536898613, "test_loss": 0.9189461877240854, "test_acc1": 78.72000266601563, "test_acc5": 94.63200267089844, "epoch": 195, "n_parameters": 24060776} -{"train_lr": 0.0005532794527591455, "train_loss": 3.1482469337701797, "test_loss": 0.9002039989127832, "test_acc1": 78.85800264404297, "test_acc5": 94.634002711792, "epoch": 196, "n_parameters": 24060776} -{"train_lr": 0.0005440204450557438, "train_loss": 3.130870780968666, "test_loss": 0.8926739725558197, "test_acc1": 78.86800272369385, "test_acc5": 94.61600255828857, "epoch": 197, "n_parameters": 24060776} -{"train_lr": 0.0005348119889552909, "train_loss": 3.134363174819946, "test_loss": 0.8883523897213095, "test_acc1": 79.04200253631592, "test_acc5": 94.65600259613038, "epoch": 198, "n_parameters": 24060776} -{"train_lr": 0.0005256550942687902, "train_loss": 3.1395462466955184, "test_loss": 0.8947041188092792, "test_acc1": 79.05200250549316, "test_acc5": 94.6760024673462, "epoch": 199, "n_parameters": 24060776} -{"train_lr": 0.0005165507651529403, "train_loss": 3.126065637540817, "test_loss": 0.8851346270564724, "test_acc1": 79.0580024182129, "test_acc5": 94.6640026147461, "epoch": 200, "n_parameters": 24060776} -{"train_lr": 0.0005074999999999954, "train_loss": 3.125296232485771, "test_loss": 0.8795050209497705, "test_acc1": 79.25800277252198, "test_acc5": 94.6080023840332, "epoch": 201, "n_parameters": 24060776} -{"train_lr": 0.0004985037913283765, "train_loss": 3.119955390000343, "test_loss": 0.8910275244099253, "test_acc1": 79.23200260040284, "test_acc5": 94.77800233032227, "epoch": 202, "n_parameters": 24060776} -{"train_lr": 0.0004895631256737371, "train_loss": 3.106197338795662, "test_loss": 0.8920985280590898, "test_acc1": 79.02600250427245, "test_acc5": 94.79400248718262, "epoch": 203, "n_parameters": 24060776} -{"train_lr": 0.00048067898348080857, "train_loss": 3.098472245359421, "test_loss": 0.9027745241627974, "test_acc1": 79.0400023373413, "test_acc5": 94.58000271209717, "epoch": 204, "n_parameters": 24060776} -{"train_lr": 0.0004718523389958997, "train_loss": 3.100401841902733, "test_loss": 0.8944048230700633, "test_acc1": 79.19600249298095, "test_acc5": 94.77600240203857, "epoch": 205, "n_parameters": 24060776} -{"train_lr": 0.00046308416016005297, "train_loss": 3.0901590734004976, "test_loss": 0.8999445749556317, "test_acc1": 79.36800261352539, "test_acc5": 94.81200287506104, "epoch": 206, "n_parameters": 24060776} -{"train_lr": 0.0004543754085028727, "train_loss": 3.106925417661667, "test_loss": 0.8904617091312128, "test_acc1": 79.34400221130372, "test_acc5": 94.79200240753174, "epoch": 207, "n_parameters": 24060776} -{"train_lr": 0.0004457270390371328, "train_loss": 3.094316139411926, "test_loss": 0.8810186870396137, "test_acc1": 79.39000274414063, "test_acc5": 94.80000281829834, "epoch": 208, "n_parameters": 24060776} -{"train_lr": 0.00043714000015399046, "train_loss": 3.0813981845378877, "test_loss": 0.8895134463468019, "test_acc1": 79.41600240112305, "test_acc5": 94.91400274536133, "epoch": 209, "n_parameters": 24060776} -{"train_lr": 0.00042861523351903384, "train_loss": 3.072039064741135, "test_loss": 0.8731507910963368, "test_acc1": 79.51200230865479, "test_acc5": 94.81200284027099, "epoch": 210, "n_parameters": 24060776} -{"train_lr": 0.00042015367396899144, "train_loss": 3.0714364250421524, "test_loss": 0.878171054098536, "test_acc1": 79.57000245941163, "test_acc5": 94.82800266815185, "epoch": 211, "n_parameters": 24060776} -{"train_lr": 0.00041175624940920726, "train_loss": 3.0754180099964143, "test_loss": 0.8696442450232366, "test_acc1": 79.50600246826171, "test_acc5": 94.88200257293701, "epoch": 212, "n_parameters": 24060776} -{"train_lr": 0.0004034238807119345, "train_loss": 3.0747336889266967, "test_loss": 0.8819693489109769, "test_acc1": 79.5440026687622, "test_acc5": 94.83600239379882, "epoch": 213, "n_parameters": 24060776} -{"train_lr": 0.00039515748161528426, "train_loss": 3.0612225205898285, "test_loss": 0.88035943424877, "test_acc1": 79.77800260437012, "test_acc5": 94.95800252197266, "epoch": 214, "n_parameters": 24060776} -{"train_lr": 0.00038695795862308516, "train_loss": 3.0561269742012023, "test_loss": 0.8665913319324746, "test_acc1": 79.77200259399415, "test_acc5": 94.96200231933594, "epoch": 215, "n_parameters": 24060776} -{"train_lr": 0.00037882621090540883, "train_loss": 3.05366118748188, "test_loss": 0.8690012833651375, "test_acc1": 79.90000252441406, "test_acc5": 94.92800254821778, "epoch": 216, "n_parameters": 24060776} -{"train_lr": 0.0003707631302000487, "train_loss": 3.038353258252144, "test_loss": 0.8631828324321438, "test_acc1": 79.91800249176025, "test_acc5": 94.9900024420166, "epoch": 217, "n_parameters": 24060776} -{"train_lr": 0.00036276960071466473, "train_loss": 3.0437202966213226, "test_loss": 0.8529660390580401, "test_acc1": 79.91200274993896, "test_acc5": 94.9260028326416, "epoch": 218, "n_parameters": 24060776} -{"train_lr": 0.00035484649902984313, "train_loss": 3.031613042879105, "test_loss": 0.8666789952446433, "test_acc1": 79.92200257995606, "test_acc5": 95.00000268981934, "epoch": 219, "n_parameters": 24060776} -{"train_lr": 0.00034699469400296305, "train_loss": 3.0283586926937103, "test_loss": 0.8697601602796246, "test_acc1": 79.89200273345948, "test_acc5": 95.00800258117675, "epoch": 220, "n_parameters": 24060776} -{"train_lr": 0.0003392150466729394, "train_loss": 3.019726710867882, "test_loss": 0.8628966887207592, "test_acc1": 79.97800244506836, "test_acc5": 95.0020023550415, "epoch": 221, "n_parameters": 24060776} -{"train_lr": 0.00033150841016574967, "train_loss": 3.020258948302269, "test_loss": 0.8705481097978705, "test_acc1": 79.78800229827881, "test_acc5": 94.99600266174316, "epoch": 222, "n_parameters": 24060776} -{"train_lr": 0.00032387562960095584, "train_loss": 3.012513022851944, "test_loss": 0.8764134934719872, "test_acc1": 80.0000026687622, "test_acc5": 95.05800247467042, "epoch": 223, "n_parameters": 24060776} -{"train_lr": 0.0003163175419989479, "train_loss": 3.0182078927516938, "test_loss": 0.8727164502967807, "test_acc1": 79.87400292358399, "test_acc5": 95.0540025946045, "epoch": 224, "n_parameters": 24060776} -{"train_lr": 0.00030883497618919975, "train_loss": 3.0074377721071244, "test_loss": 0.841819037190255, "test_acc1": 80.15200233459473, "test_acc5": 95.08600264770507, "epoch": 225, "n_parameters": 24060776} -{"train_lr": 0.0003014287527193815, "train_loss": 3.0069603650808334, "test_loss": 0.8732913736911381, "test_acc1": 80.09800254455567, "test_acc5": 95.04400255310058, "epoch": 226, "n_parameters": 24060776} -{"train_lr": 0.0002940996837653622, "train_loss": 2.9845218938350677, "test_loss": 0.8545640448437017, "test_acc1": 80.1940022454834, "test_acc5": 95.10800250396728, "epoch": 227, "n_parameters": 24060776} -{"train_lr": 0.0002868485730421277, "train_loss": 2.995483086705208, "test_loss": 0.8600697916220216, "test_acc1": 80.01600234283447, "test_acc5": 95.10400233886719, "epoch": 228, "n_parameters": 24060776} -{"train_lr": 0.00027967621571569945, "train_loss": 2.9849375962495803, "test_loss": 0.8544248057638898, "test_acc1": 80.18000247894287, "test_acc5": 95.1800021987915, "epoch": 229, "n_parameters": 24060776} -{"train_lr": 0.00027258339831586544, "train_loss": 2.981963791513443, "test_loss": 0.8525561289313961, "test_acc1": 80.126002578125, "test_acc5": 95.16800267791749, "epoch": 230, "n_parameters": 24060776} -{"train_lr": 0.00026557089864999076, "train_loss": 2.96631218855381, "test_loss": 0.8543044545632952, "test_acc1": 80.0900026159668, "test_acc5": 95.17600255065918, "epoch": 231, "n_parameters": 24060776} -{"train_lr": 0.0002586394857176932, "train_loss": 2.9693528242349623, "test_loss": 0.8616333853672532, "test_acc1": 80.26200265625, "test_acc5": 95.13000267913819, "epoch": 232, "n_parameters": 24060776} -{"train_lr": 0.0002517899196265051, "train_loss": 2.9638435809135437, "test_loss": 0.8402463153881186, "test_acc1": 80.20400247833253, "test_acc5": 95.25000278991699, "epoch": 233, "n_parameters": 24060776} -{"train_lr": 0.00024502295150853127, "train_loss": 2.9609748278141024, "test_loss": 0.8397023975849152, "test_acc1": 80.30400268005371, "test_acc5": 95.23600228851318, "epoch": 234, "n_parameters": 24060776} -{"train_lr": 0.00023833932343808823, "train_loss": 2.9606342651844026, "test_loss": 0.8504560456118163, "test_acc1": 80.40000234680176, "test_acc5": 95.31600266479492, "epoch": 235, "n_parameters": 24060776} -{"train_lr": 0.0002317397683503114, "train_loss": 2.9558917662858963, "test_loss": 0.8292064239435336, "test_acc1": 80.44800280975342, "test_acc5": 95.26000265411378, "epoch": 236, "n_parameters": 24060776} -{"train_lr": 0.0002252250099607895, "train_loss": 2.943607214164734, "test_loss": 0.8407762331121108, "test_acc1": 80.52800278594971, "test_acc5": 95.2020027798462, "epoch": 237, "n_parameters": 24060776} -{"train_lr": 0.0002187957626861865, "train_loss": 2.9388878106117247, "test_loss": 0.8336576584945706, "test_acc1": 80.36400260742188, "test_acc5": 95.24600255004883, "epoch": 238, "n_parameters": 24060776} -{"train_lr": 0.0002124527315659233, "train_loss": 2.946609358763695, "test_loss": 0.847881252932198, "test_acc1": 80.47600266296386, "test_acc5": 95.29000262176514, "epoch": 239, "n_parameters": 24060776} -{"train_lr": 0.00020619661218483946, "train_loss": 2.9278485444545748, "test_loss": 0.8423126416609568, "test_acc1": 80.54800243713379, "test_acc5": 95.34400219940186, "epoch": 240, "n_parameters": 24060776} -{"train_lr": 0.00020002809059692627, "train_loss": 2.9187043276309965, "test_loss": 0.8219769851249807, "test_acc1": 80.4840029650879, "test_acc5": 95.30600276824951, "epoch": 241, "n_parameters": 24060776} -{"train_lr": 0.0001939478432500911, "train_loss": 2.918836178159714, "test_loss": 0.836823001065675, "test_acc1": 80.65800231445313, "test_acc5": 95.3660023059082, "epoch": 242, "n_parameters": 24060776} -{"train_lr": 0.00018795653691196305, "train_loss": 2.9182490132331846, "test_loss": 0.8434529501725646, "test_acc1": 80.52200280029297, "test_acc5": 95.34800267333985, "epoch": 243, "n_parameters": 24060776} -{"train_lr": 0.00018205482859681336, "train_loss": 2.9110545082092285, "test_loss": 0.8189707052181748, "test_acc1": 80.77000234039306, "test_acc5": 95.38600258117675, "epoch": 244, "n_parameters": 24060776} -{"train_lr": 0.00017624336549345047, "train_loss": 2.9116110360860823, "test_loss": 0.8316237492596402, "test_acc1": 80.7000024093628, "test_acc5": 95.32800259796143, "epoch": 245, "n_parameters": 24060776} -{"train_lr": 0.0001705227848943048, "train_loss": 2.9146506293773653, "test_loss": 0.8379285852698719, "test_acc1": 80.80400251556397, "test_acc5": 95.34000248901367, "epoch": 246, "n_parameters": 24060776} -{"train_lr": 0.0001648937141254942, "train_loss": 2.9048231374025346, "test_loss": 0.8408584110438824, "test_acc1": 80.93600271911622, "test_acc5": 95.40000241607666, "epoch": 247, "n_parameters": 24060776} -{"train_lr": 0.0001593567704780698, "train_loss": 2.9026106625795363, "test_loss": 0.8154307890902547, "test_acc1": 80.8960026574707, "test_acc5": 95.48200261566163, "epoch": 248, "n_parameters": 24060776} -{"train_lr": 0.00015391256114029412, "train_loss": 2.8830550323963164, "test_loss": 0.8333286423893536, "test_acc1": 80.89000252441406, "test_acc5": 95.40800259887695, "epoch": 249, "n_parameters": 24060776} -{"train_lr": 0.00014856168313107535, "train_loss": 2.880414491176605, "test_loss": 0.8350836595191675, "test_acc1": 80.9340028112793, "test_acc5": 95.47600236694336, "epoch": 250, "n_parameters": 24060776} -{"train_lr": 0.00014330472323448315, "train_loss": 2.878919529056549, "test_loss": 0.833154686671846, "test_acc1": 80.90200283325196, "test_acc5": 95.39600258453369, "epoch": 251, "n_parameters": 24060776} -{"train_lr": 0.00013814225793541218, "train_loss": 2.8811123349666596, "test_loss": 0.8273740724167403, "test_acc1": 80.83000250366212, "test_acc5": 95.38800259002686, "epoch": 252, "n_parameters": 24060776} -{"train_lr": 0.000133074853356355, "train_loss": 2.8697035060405733, "test_loss": 0.8276435699971283, "test_acc1": 80.98000288360596, "test_acc5": 95.40400288024902, "epoch": 253, "n_parameters": 24060776} -{"train_lr": 0.00012810306519533426, "train_loss": 2.8670979648113253, "test_loss": 0.8250237072215361, "test_acc1": 80.98200270263672, "test_acc5": 95.54000238677979, "epoch": 254, "n_parameters": 24060776} -{"train_lr": 0.00012322743866494126, "train_loss": 2.8542771920919416, "test_loss": 0.8303943951340282, "test_acc1": 80.9560027053833, "test_acc5": 95.47000255096435, "epoch": 255, "n_parameters": 24060776} -{"train_lr": 0.00011844850843257506, "train_loss": 2.864520172548294, "test_loss": 0.8280702700071475, "test_acc1": 80.93400243377685, "test_acc5": 95.41400240081786, "epoch": 256, "n_parameters": 24060776} -{"train_lr": 0.00011376679856178596, "train_loss": 2.862439610362053, "test_loss": 0.8301513911608387, "test_acc1": 81.07200242767334, "test_acc5": 95.45200237487794, "epoch": 257, "n_parameters": 24060776} -{"train_lr": 0.0001091828224548179, "train_loss": 2.8537634061813355, "test_loss": 0.8204226493835449, "test_acc1": 81.17000242858887, "test_acc5": 95.4300026425171, "epoch": 258, "n_parameters": 24060776} -{"train_lr": 0.00010469708279631187, "train_loss": 2.8473184254169466, "test_loss": 0.8240030287381481, "test_acc1": 81.00800257385254, "test_acc5": 95.34400241333007, "epoch": 259, "n_parameters": 24060776} -{"train_lr": 0.00010031007149816745, "train_loss": 2.842755315160751, "test_loss": 0.8128790478495991, "test_acc1": 81.28200261566163, "test_acc5": 95.46400242156983, "epoch": 260, "n_parameters": 24060776} -{"train_lr": 9.602226964561254e-05, "train_loss": 2.845309993457794, "test_loss": 0.8167048578753191, "test_acc1": 81.02000259033203, "test_acc5": 95.44000244384766, "epoch": 261, "n_parameters": 24060776} -{"train_lr": 9.183414744443804e-05, "train_loss": 2.8381990250349043, "test_loss": 0.8160290853942141, "test_acc1": 81.2100023425293, "test_acc5": 95.4700026699829, "epoch": 262, "n_parameters": 24060776} -{"train_lr": 8.774616416944161e-05, "train_loss": 2.8334290157794952, "test_loss": 0.8286989828681245, "test_acc1": 81.18800270507812, "test_acc5": 95.44800258392334, "epoch": 263, "n_parameters": 24060776} -{"train_lr": 8.375876811405484e-05, "train_loss": 2.8277579992055895, "test_loss": 0.8196257284897215, "test_acc1": 81.09600237335205, "test_acc5": 95.45000262908935, "epoch": 264, "n_parameters": 24060776} -{"train_lr": 7.987239654119033e-05, "train_loss": 2.8253798643350603, "test_loss": 0.8147216189433547, "test_acc1": 81.21400260467529, "test_acc5": 95.49800246948242, "epoch": 265, "n_parameters": 24060776} -{"train_lr": 7.608747563528375e-05, "train_loss": 2.824576048827171, "test_loss": 0.821716824436889, "test_acc1": 81.27600224822999, "test_acc5": 95.47200267883301, "epoch": 266, "n_parameters": 24060776} -{"train_lr": 7.240442045556889e-05, "train_loss": 2.820016126847267, "test_loss": 0.8189947896582239, "test_acc1": 81.23000253570557, "test_acc5": 95.48200277313232, "epoch": 267, "n_parameters": 24060776} -{"train_lr": 6.88236348905455e-05, "train_loss": 2.8187417609453203, "test_loss": 0.8090296889490941, "test_acc1": 81.49000247161865, "test_acc5": 95.45600252807617, "epoch": 268, "n_parameters": 24060776} -{"train_lr": 6.534551161370628e-05, "train_loss": 2.8178020955324175, "test_loss": 0.8197507919634089, "test_acc1": 81.33600238555908, "test_acc5": 95.40400206787109, "epoch": 269, "n_parameters": 24060776} -{"train_lr": 6.197043204046255e-05, "train_loss": 2.807006762957573, "test_loss": 0.8176866239484619, "test_acc1": 81.42800254577637, "test_acc5": 95.49400275695801, "epoch": 270, "n_parameters": 24060776} -{"train_lr": 5.869876628632201e-05, "train_loss": 2.809258086323738, "test_loss": 0.8129003166275865, "test_acc1": 81.40400257202148, "test_acc5": 95.48800263153076, "epoch": 271, "n_parameters": 24060776} -{"train_lr": 5.553087312630486e-05, "train_loss": 2.8105907876968383, "test_loss": 0.8082634247839451, "test_acc1": 81.49200239349365, "test_acc5": 95.4900024746704, "epoch": 272, "n_parameters": 24060776} -{"train_lr": 5.246709995559292e-05, "train_loss": 2.795059554672241, "test_loss": 0.8137025280910379, "test_acc1": 81.53200277893066, "test_acc5": 95.49600241394043, "epoch": 273, "n_parameters": 24060776} -{"train_lr": 4.950778275144144e-05, "train_loss": 2.8055140311956404, "test_loss": 0.804922720307813, "test_acc1": 81.43800234313964, "test_acc5": 95.52000247253417, "epoch": 274, "n_parameters": 24060776} -{"train_lr": 4.665324603633065e-05, "train_loss": 2.796932457947731, "test_loss": 0.8103134853436667, "test_acc1": 81.45800245697022, "test_acc5": 95.48800229614258, "epoch": 275, "n_parameters": 24060776} -{"train_lr": 4.390380284237726e-05, "train_loss": 2.7920364512205125, "test_loss": 0.8038489406599718, "test_acc1": 81.55200251281738, "test_acc5": 95.57000243896485, "epoch": 276, "n_parameters": 24060776} -{"train_lr": 4.125975467701264e-05, "train_loss": 2.7965817031383513, "test_loss": 0.8091704630676437, "test_acc1": 81.47600232330322, "test_acc5": 95.58000268676757, "epoch": 277, "n_parameters": 24060776} -{"train_lr": 3.8721391489911965e-05, "train_loss": 2.787618724370003, "test_loss": 0.8064430910436546, "test_acc1": 81.60000263397217, "test_acc5": 95.57400265045166, "epoch": 278, "n_parameters": 24060776} -{"train_lr": 3.6288991641205554e-05, "train_loss": 2.7859528262376787, "test_loss": 0.80842956593808, "test_acc1": 81.60600242370606, "test_acc5": 95.54000263092041, "epoch": 279, "n_parameters": 24060776} -{"train_lr": 3.396282187094605e-05, "train_loss": 2.777036713552475, "test_loss": 0.8059425744063714, "test_acc1": 81.56200243530273, "test_acc5": 95.56400270385743, "epoch": 280, "n_parameters": 24060776} -{"train_lr": 3.174313726986316e-05, "train_loss": 2.789255880188942, "test_loss": 0.8026300830876126, "test_acc1": 81.58000234832764, "test_acc5": 95.59000253051758, "epoch": 281, "n_parameters": 24060776} -{"train_lr": 2.963018125138695e-05, "train_loss": 2.775496594762802, "test_loss": 0.8056243546307087, "test_acc1": 81.68400262786865, "test_acc5": 95.61000236358643, "epoch": 282, "n_parameters": 24060776} -{"train_lr": 2.7624185524954915e-05, "train_loss": 2.7896703963041305, "test_loss": 0.8027533897582222, "test_acc1": 81.65400256317139, "test_acc5": 95.57400278778076, "epoch": 283, "n_parameters": 24060776} -{"train_lr": 2.5725370070604652e-05, "train_loss": 2.774821921038628, "test_loss": 0.8063219158964998, "test_acc1": 81.58800262176514, "test_acc5": 95.59600272033691, "epoch": 284, "n_parameters": 24060776} -{"train_lr": 2.393394311484729e-05, "train_loss": 2.7789762519598007, "test_loss": 0.8088402031537365, "test_acc1": 81.64000234832764, "test_acc5": 95.62200253936767, "epoch": 285, "n_parameters": 24060776} -{"train_lr": 2.2250101107838334e-05, "train_loss": 2.7715589011907578, "test_loss": 0.808197332874817, "test_acc1": 81.60400275054931, "test_acc5": 95.58200255615235, "epoch": 286, "n_parameters": 24060776} -{"train_lr": 2.06740287018269e-05, "train_loss": 2.768552319145203, "test_loss": 0.8054358122103354, "test_acc1": 81.61400236785889, "test_acc5": 95.58400241333008, "epoch": 287, "n_parameters": 24060776} -{"train_lr": 1.92058987309138e-05, "train_loss": 2.7635644399404526, "test_loss": 0.8005899059421876, "test_acc1": 81.6900024822998, "test_acc5": 95.62200241607665, "epoch": 288, "n_parameters": 24060776} -{"train_lr": 1.7845872192094728e-05, "train_loss": 2.761073026108742, "test_loss": 0.803644057144137, "test_acc1": 81.70200268646241, "test_acc5": 95.58800253997802, "epoch": 289, "n_parameters": 24060776} -{"train_lr": 1.6594098227605466e-05, "train_loss": 2.758269049358368, "test_loss": 0.8015671994756249, "test_acc1": 81.70000239074707, "test_acc5": 95.63200230834961, "epoch": 290, "n_parameters": 24060776} -{"train_lr": 1.5450714108568132e-05, "train_loss": 2.7564584510803223, "test_loss": 0.8022194053320324, "test_acc1": 81.72200266082764, "test_acc5": 95.62400254821777, "epoch": 291, "n_parameters": 24060776} -{"train_lr": 1.4415845219935372e-05, "train_loss": 2.762967523050308, "test_loss": 0.8062686133472359, "test_acc1": 81.61800262176514, "test_acc5": 95.63200219116212, "epoch": 292, "n_parameters": 24060776} -{"train_lr": 1.3489605046743062e-05, "train_loss": 2.764797756958008, "test_loss": 0.805767062394058, "test_acc1": 81.68200225952148, "test_acc5": 95.6400023110962, "epoch": 293, "n_parameters": 24060776} -{"train_lr": 1.2672095161664185e-05, "train_loss": 2.7643114861011506, "test_loss": 0.8052986601696295, "test_acc1": 81.66000237335206, "test_acc5": 95.60200242553711, "epoch": 294, "n_parameters": 24060776} -{"train_lr": 1.1963405213869702e-05, "train_loss": 2.7642894030570986, "test_loss": 0.8025043966139064, "test_acc1": 81.67800243774414, "test_acc5": 95.63000202880859, "epoch": 295, "n_parameters": 24060776} -{"train_lr": 1.1363612919199186e-05, "train_loss": 2.7690227617263794, "test_loss": 0.8036964529139154, "test_acc1": 81.64200253479004, "test_acc5": 95.60400217163085, "epoch": 296, "n_parameters": 24060776} -{"train_lr": 1.0872784051635796e-05, "train_loss": 2.773742348456383, "test_loss": 0.8047800311709151, "test_acc1": 81.70200266601563, "test_acc5": 95.61000226043701, "epoch": 297, "n_parameters": 24060776} -{"train_lr": 1.0490972436097076e-05, "train_loss": 2.7592815829992294, "test_loss": 0.8042832371943137, "test_acc1": 81.66800291717529, "test_acc5": 95.59800250305176, "epoch": 298, "n_parameters": 24060776} -{"train_lr": 1.0218219942528794e-05, "train_loss": 2.754021850514412, "test_loss": 0.8030264671234524, "test_acc1": 81.7120023260498, "test_acc5": 95.63800244781494, "epoch": 299, "n_parameters": 24060776} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt deleted file mode 100644 index 83b9f529e..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_b.txt +++ /dev/null @@ -1,3201 +0,0 @@ -{"env_info": "sys.platform: linux\nPython: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.1\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+1fcc2d5", "seed": null, "exp_name": "upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py"} -{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 14203, "data_time": 0.0079, "decode.loss_seg": 4.01131, "decode.acc_seg": 0.52405, "aux.loss_seg": 1.61605, "aux.acc_seg": 0.27129, "loss": 5.62736, "time": 0.63636} -{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 14203, "data_time": 0.00654, "decode.loss_seg": 3.94939, "decode.acc_seg": 4.75949, "aux.loss_seg": 1.61635, "aux.acc_seg": 0.43757, "loss": 5.56574, "time": 0.54956} -{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 3.76211, "decode.acc_seg": 19.68972, "aux.loss_seg": 1.59752, "aux.acc_seg": 1.30197, "loss": 5.35963, "time": 0.55853} -{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 14203, "data_time": 0.00696, "decode.loss_seg": 3.45062, "decode.acc_seg": 33.00079, "aux.loss_seg": 1.59977, "aux.acc_seg": 8.00955, "loss": 5.05039, "time": 0.54534} -{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 14203, "data_time": 0.00649, "decode.loss_seg": 3.08169, "decode.acc_seg": 38.55763, "aux.loss_seg": 1.56266, "aux.acc_seg": 27.00087, "loss": 4.64435, "time": 0.54955} -{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 14203, "data_time": 0.0066, "decode.loss_seg": 2.7207, "decode.acc_seg": 41.69225, "aux.loss_seg": 1.46556, "aux.acc_seg": 36.83134, "loss": 4.18626, "time": 0.55116} -{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 14203, "data_time": 0.00671, "decode.loss_seg": 2.51577, "decode.acc_seg": 43.58666, "aux.loss_seg": 1.38869, "aux.acc_seg": 39.61468, "loss": 3.90447, "time": 0.53662} -{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 14203, "data_time": 0.00712, "decode.loss_seg": 2.45258, "decode.acc_seg": 44.51177, "aux.loss_seg": 1.36688, "aux.acc_seg": 40.15449, "loss": 3.81946, "time": 0.5556} -{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 2.21295, "decode.acc_seg": 45.55087, "aux.loss_seg": 1.27211, "aux.acc_seg": 40.88446, "loss": 3.48506, "time": 0.55726} -{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 1.99875, "decode.acc_seg": 47.53386, "aux.loss_seg": 1.17685, "aux.acc_seg": 42.75451, "loss": 3.17559, "time": 0.54471} -{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 14203, "data_time": 0.00658, "decode.loss_seg": 2.01579, "decode.acc_seg": 47.49516, "aux.loss_seg": 1.16719, "aux.acc_seg": 42.74053, "loss": 3.18299, "time": 0.54814} -{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 1.79294, "decode.acc_seg": 49.26724, "aux.loss_seg": 1.07241, "aux.acc_seg": 44.70097, "loss": 2.86535, "time": 0.52253} -{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 14203, "data_time": 0.00662, "decode.loss_seg": 1.79003, "decode.acc_seg": 49.41865, "aux.loss_seg": 1.06349, "aux.acc_seg": 44.04789, "loss": 2.85352, "time": 0.54564} -{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 14203, "data_time": 0.00701, "decode.loss_seg": 1.66853, "decode.acc_seg": 48.05151, "aux.loss_seg": 0.98077, "aux.acc_seg": 43.09572, "loss": 2.64929, "time": 0.53383} -{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 14203, "data_time": 0.00651, "decode.loss_seg": 1.62511, "decode.acc_seg": 51.19364, "aux.loss_seg": 0.97853, "aux.acc_seg": 45.72162, "loss": 2.60365, "time": 0.54182} -{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 14203, "data_time": 0.00672, "decode.loss_seg": 1.6266, "decode.acc_seg": 50.36017, "aux.loss_seg": 0.95314, "aux.acc_seg": 45.03153, "loss": 2.57973, "time": 0.5234} -{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 1.53019, "decode.acc_seg": 50.26314, "aux.loss_seg": 0.88502, "aux.acc_seg": 45.27302, "loss": 2.41521, "time": 0.53991} -{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 14203, "data_time": 0.0071, "decode.loss_seg": 1.51311, "decode.acc_seg": 50.55113, "aux.loss_seg": 0.87621, "aux.acc_seg": 44.54715, "loss": 2.38932, "time": 0.53946} -{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 14203, "data_time": 0.00658, "decode.loss_seg": 1.388, "decode.acc_seg": 49.48342, "aux.loss_seg": 0.79456, "aux.acc_seg": 44.06615, "loss": 2.18256, "time": 0.51535} -{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 14203, "data_time": 0.00654, "decode.loss_seg": 1.39874, "decode.acc_seg": 51.87297, "aux.loss_seg": 0.79269, "aux.acc_seg": 46.4326, "loss": 2.19143, "time": 0.52689} -{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 1.3795, "decode.acc_seg": 51.69279, "aux.loss_seg": 0.76659, "aux.acc_seg": 45.72416, "loss": 2.14609, "time": 0.54638} -{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 14203, "data_time": 0.00653, "decode.loss_seg": 1.37962, "decode.acc_seg": 51.57735, "aux.loss_seg": 0.75749, "aux.acc_seg": 46.7841, "loss": 2.13711, "time": 0.55936} -{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 14203, "data_time": 0.00674, "decode.loss_seg": 1.31079, "decode.acc_seg": 51.63113, "aux.loss_seg": 0.71201, "aux.acc_seg": 47.07912, "loss": 2.02279, "time": 0.53819} -{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 1.30479, "decode.acc_seg": 52.83892, "aux.loss_seg": 0.70029, "aux.acc_seg": 47.33756, "loss": 2.00508, "time": 0.52294} -{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 14203, "data_time": 0.00624, "decode.loss_seg": 1.28513, "decode.acc_seg": 51.47787, "aux.loss_seg": 0.67504, "aux.acc_seg": 46.58954, "loss": 1.96017, "time": 0.52394} -{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 14203, "data_time": 0.23955, "decode.loss_seg": 1.16908, "decode.acc_seg": 54.21351, "aux.loss_seg": 0.63079, "aux.acc_seg": 49.89093, "loss": 1.79987, "time": 0.75064} -{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 14203, "data_time": 0.00662, "decode.loss_seg": 1.23699, "decode.acc_seg": 53.73764, "aux.loss_seg": 0.64567, "aux.acc_seg": 49.55709, "loss": 1.88266, "time": 0.52064} -{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 14203, "data_time": 0.0064, "decode.loss_seg": 1.18148, "decode.acc_seg": 52.50552, "aux.loss_seg": 0.61586, "aux.acc_seg": 48.48164, "loss": 1.79734, "time": 0.53583} -{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 14203, "data_time": 0.00634, "decode.loss_seg": 1.14891, "decode.acc_seg": 53.09053, "aux.loss_seg": 0.59389, "aux.acc_seg": 49.27061, "loss": 1.7428, "time": 0.53335} -{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 14203, "data_time": 0.00711, "decode.loss_seg": 1.19178, "decode.acc_seg": 54.0122, "aux.loss_seg": 0.60948, "aux.acc_seg": 50.03115, "loss": 1.80126, "time": 0.55392} -{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 14203, "data_time": 0.00628, "decode.loss_seg": 1.13765, "decode.acc_seg": 54.01989, "aux.loss_seg": 0.58792, "aux.acc_seg": 50.12396, "loss": 1.72557, "time": 0.54626} -{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 14203, "data_time": 0.00688, "decode.loss_seg": 1.14597, "decode.acc_seg": 54.77428, "aux.loss_seg": 0.58632, "aux.acc_seg": 51.30026, "loss": 1.73229, "time": 0.55308} -{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 14203, "data_time": 0.00665, "decode.loss_seg": 1.11213, "decode.acc_seg": 54.53321, "aux.loss_seg": 0.56042, "aux.acc_seg": 51.55258, "loss": 1.67255, "time": 0.54083} -{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 1.1239, "decode.acc_seg": 53.14993, "aux.loss_seg": 0.56496, "aux.acc_seg": 49.51628, "loss": 1.68886, "time": 0.55772} -{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 1.0855, "decode.acc_seg": 53.9702, "aux.loss_seg": 0.54628, "aux.acc_seg": 50.47501, "loss": 1.63178, "time": 0.54648} -{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 14203, "data_time": 0.00662, "decode.loss_seg": 1.09145, "decode.acc_seg": 55.0534, "aux.loss_seg": 0.5419, "aux.acc_seg": 52.33309, "loss": 1.63335, "time": 0.52072} -{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 1.03772, "decode.acc_seg": 55.12786, "aux.loss_seg": 0.52664, "aux.acc_seg": 52.34717, "loss": 1.56436, "time": 0.52489} -{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 1.07707, "decode.acc_seg": 54.22046, "aux.loss_seg": 0.54305, "aux.acc_seg": 50.90633, "loss": 1.62012, "time": 0.52054} -{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 14203, "data_time": 0.00663, "decode.loss_seg": 1.03259, "decode.acc_seg": 56.22309, "aux.loss_seg": 0.5261, "aux.acc_seg": 52.94911, "loss": 1.55869, "time": 0.52062} -{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 1.00622, "decode.acc_seg": 55.13685, "aux.loss_seg": 0.50873, "aux.acc_seg": 52.16433, "loss": 1.51495, "time": 0.51557} -{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.98222, "decode.acc_seg": 55.75413, "aux.loss_seg": 0.50095, "aux.acc_seg": 52.62438, "loss": 1.48316, "time": 0.51963} -{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 14203, "data_time": 0.00667, "decode.loss_seg": 1.00509, "decode.acc_seg": 54.92038, "aux.loss_seg": 0.50263, "aux.acc_seg": 51.93392, "loss": 1.50772, "time": 0.52325} -{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 14203, "data_time": 0.00682, "decode.loss_seg": 1.02514, "decode.acc_seg": 53.9538, "aux.loss_seg": 0.51491, "aux.acc_seg": 51.16601, "loss": 1.54005, "time": 0.52612} -{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 14203, "data_time": 0.00742, "decode.loss_seg": 0.9617, "decode.acc_seg": 56.93784, "aux.loss_seg": 0.48754, "aux.acc_seg": 53.58394, "loss": 1.44924, "time": 0.5436} -{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.91355, "decode.acc_seg": 56.00517, "aux.loss_seg": 0.46655, "aux.acc_seg": 52.2069, "loss": 1.3801, "time": 0.52558} -{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.9026, "decode.acc_seg": 56.77764, "aux.loss_seg": 0.45285, "aux.acc_seg": 54.23528, "loss": 1.35544, "time": 0.53723} -{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 14203, "data_time": 0.00687, "decode.loss_seg": 0.95476, "decode.acc_seg": 55.92888, "aux.loss_seg": 0.47759, "aux.acc_seg": 53.13063, "loss": 1.43235, "time": 0.53608} -{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.94307, "decode.acc_seg": 56.99851, "aux.loss_seg": 0.46217, "aux.acc_seg": 53.86768, "loss": 1.40525, "time": 0.53665} -{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 0.92993, "decode.acc_seg": 57.80378, "aux.loss_seg": 0.46238, "aux.acc_seg": 54.93487, "loss": 1.39231, "time": 0.53728} -{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 14203, "data_time": 0.0067, "decode.loss_seg": 0.97892, "decode.acc_seg": 56.05828, "aux.loss_seg": 0.4836, "aux.acc_seg": 52.94449, "loss": 1.46253, "time": 0.51884} -{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 14203, "data_time": 0.23449, "decode.loss_seg": 0.90675, "decode.acc_seg": 57.64337, "aux.loss_seg": 0.46152, "aux.acc_seg": 54.06071, "loss": 1.36827, "time": 0.75223} -{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 14203, "data_time": 0.00619, "decode.loss_seg": 0.89718, "decode.acc_seg": 57.94414, "aux.loss_seg": 0.46661, "aux.acc_seg": 53.98762, "loss": 1.36379, "time": 0.53806} -{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 14203, "data_time": 0.00719, "decode.loss_seg": 0.89137, "decode.acc_seg": 57.41703, "aux.loss_seg": 0.44975, "aux.acc_seg": 53.97223, "loss": 1.34112, "time": 0.53218} -{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 14203, "data_time": 0.00697, "decode.loss_seg": 0.9171, "decode.acc_seg": 57.62015, "aux.loss_seg": 0.46445, "aux.acc_seg": 54.26384, "loss": 1.38155, "time": 0.52488} -{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 14203, "data_time": 0.00716, "decode.loss_seg": 0.89604, "decode.acc_seg": 56.08899, "aux.loss_seg": 0.45281, "aux.acc_seg": 52.89978, "loss": 1.34884, "time": 0.5419} -{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.85169, "decode.acc_seg": 58.60316, "aux.loss_seg": 0.42657, "aux.acc_seg": 55.79715, "loss": 1.27827, "time": 0.52136} -{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 14203, "data_time": 0.00748, "decode.loss_seg": 0.86349, "decode.acc_seg": 57.51563, "aux.loss_seg": 0.43484, "aux.acc_seg": 54.73619, "loss": 1.29833, "time": 0.52655} -{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 14203, "data_time": 0.00731, "decode.loss_seg": 0.91069, "decode.acc_seg": 55.31096, "aux.loss_seg": 0.45165, "aux.acc_seg": 52.26617, "loss": 1.36233, "time": 0.53563} -{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.8642, "decode.acc_seg": 58.51612, "aux.loss_seg": 0.43583, "aux.acc_seg": 55.49657, "loss": 1.30002, "time": 0.52481} -{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 14203, "data_time": 0.00798, "decode.loss_seg": 0.86245, "decode.acc_seg": 59.54291, "aux.loss_seg": 0.43491, "aux.acc_seg": 56.7141, "loss": 1.29736, "time": 0.55413} -{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 14203, "data_time": 0.00786, "decode.loss_seg": 0.87619, "decode.acc_seg": 57.12768, "aux.loss_seg": 0.44504, "aux.acc_seg": 53.46718, "loss": 1.32123, "time": 0.53149} -{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 14203, "data_time": 0.00721, "decode.loss_seg": 0.8299, "decode.acc_seg": 58.32887, "aux.loss_seg": 0.42089, "aux.acc_seg": 55.36873, "loss": 1.25079, "time": 0.5241} -{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 14203, "data_time": 0.00778, "decode.loss_seg": 0.87108, "decode.acc_seg": 58.46061, "aux.loss_seg": 0.43634, "aux.acc_seg": 55.39801, "loss": 1.30741, "time": 0.53262} -{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.7989, "decode.acc_seg": 57.2711, "aux.loss_seg": 0.40012, "aux.acc_seg": 54.43148, "loss": 1.19902, "time": 0.51461} -{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 14203, "data_time": 0.00744, "decode.loss_seg": 0.8098, "decode.acc_seg": 57.87987, "aux.loss_seg": 0.40798, "aux.acc_seg": 54.92637, "loss": 1.21778, "time": 0.53177} -{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 14203, "data_time": 0.00802, "decode.loss_seg": 0.82828, "decode.acc_seg": 58.73943, "aux.loss_seg": 0.41517, "aux.acc_seg": 55.12318, "loss": 1.24346, "time": 0.52185} -{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 14203, "data_time": 0.00797, "decode.loss_seg": 0.76965, "decode.acc_seg": 59.81477, "aux.loss_seg": 0.38652, "aux.acc_seg": 56.67771, "loss": 1.15617, "time": 0.53031} -{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 14203, "data_time": 0.00773, "decode.loss_seg": 0.81628, "decode.acc_seg": 58.63312, "aux.loss_seg": 0.40631, "aux.acc_seg": 55.55871, "loss": 1.22259, "time": 0.52871} -{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 14203, "data_time": 0.00712, "decode.loss_seg": 0.81664, "decode.acc_seg": 59.96377, "aux.loss_seg": 0.41138, "aux.acc_seg": 56.61932, "loss": 1.22802, "time": 0.51883} -{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.82727, "decode.acc_seg": 58.37023, "aux.loss_seg": 0.4069, "aux.acc_seg": 55.3414, "loss": 1.23417, "time": 0.55679} -{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 14203, "data_time": 0.00774, "decode.loss_seg": 0.80945, "decode.acc_seg": 59.21752, "aux.loss_seg": 0.40833, "aux.acc_seg": 55.83171, "loss": 1.21777, "time": 0.52901} -{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.78532, "decode.acc_seg": 59.12657, "aux.loss_seg": 0.39261, "aux.acc_seg": 55.99172, "loss": 1.17793, "time": 0.52365} -{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.83411, "decode.acc_seg": 58.66786, "aux.loss_seg": 0.41001, "aux.acc_seg": 55.99726, "loss": 1.24411, "time": 0.53064} -{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 14203, "data_time": 0.00797, "decode.loss_seg": 0.79796, "decode.acc_seg": 57.59968, "aux.loss_seg": 0.4017, "aux.acc_seg": 54.47364, "loss": 1.19965, "time": 0.53454} -{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 14203, "data_time": 0.00764, "decode.loss_seg": 0.82519, "decode.acc_seg": 58.02642, "aux.loss_seg": 0.40864, "aux.acc_seg": 55.14408, "loss": 1.23382, "time": 0.54085} -{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 14203, "data_time": 0.24578, "decode.loss_seg": 0.7701, "decode.acc_seg": 59.4468, "aux.loss_seg": 0.38296, "aux.acc_seg": 56.21753, "loss": 1.15306, "time": 0.77764} -{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 14203, "data_time": 0.00676, "decode.loss_seg": 0.76392, "decode.acc_seg": 60.00761, "aux.loss_seg": 0.38913, "aux.acc_seg": 56.72688, "loss": 1.15305, "time": 0.53734} -{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 14203, "data_time": 0.00672, "decode.loss_seg": 0.74202, "decode.acc_seg": 59.57932, "aux.loss_seg": 0.3757, "aux.acc_seg": 56.33204, "loss": 1.11772, "time": 0.53507} -{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 14203, "data_time": 0.00684, "decode.loss_seg": 0.77162, "decode.acc_seg": 58.26114, "aux.loss_seg": 0.37976, "aux.acc_seg": 55.26156, "loss": 1.15138, "time": 0.51996} -{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 14203, "data_time": 0.00682, "decode.loss_seg": 0.76876, "decode.acc_seg": 58.78277, "aux.loss_seg": 0.38498, "aux.acc_seg": 56.08738, "loss": 1.15373, "time": 0.52372} -{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 14203, "data_time": 0.00683, "decode.loss_seg": 0.76161, "decode.acc_seg": 59.65397, "aux.loss_seg": 0.37533, "aux.acc_seg": 56.60805, "loss": 1.13694, "time": 0.52791} -{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.76075, "decode.acc_seg": 59.76841, "aux.loss_seg": 0.37815, "aux.acc_seg": 56.99979, "loss": 1.1389, "time": 0.54188} -{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 0.77195, "decode.acc_seg": 58.80813, "aux.loss_seg": 0.38362, "aux.acc_seg": 55.77066, "loss": 1.15557, "time": 0.52084} -{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.75966, "decode.acc_seg": 60.48225, "aux.loss_seg": 0.38314, "aux.acc_seg": 56.89636, "loss": 1.1428, "time": 0.51217} -{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 0.74642, "decode.acc_seg": 60.94261, "aux.loss_seg": 0.37406, "aux.acc_seg": 57.88833, "loss": 1.12048, "time": 0.5274} -{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.75562, "decode.acc_seg": 59.04449, "aux.loss_seg": 0.37458, "aux.acc_seg": 56.14161, "loss": 1.1302, "time": 0.51845} -{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.75868, "decode.acc_seg": 59.42758, "aux.loss_seg": 0.37472, "aux.acc_seg": 56.79047, "loss": 1.1334, "time": 0.51898} -{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 14203, "data_time": 0.00701, "decode.loss_seg": 0.74945, "decode.acc_seg": 61.2563, "aux.loss_seg": 0.38279, "aux.acc_seg": 57.41991, "loss": 1.13224, "time": 0.53699} -{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 14203, "data_time": 0.00773, "decode.loss_seg": 0.75854, "decode.acc_seg": 58.31595, "aux.loss_seg": 0.36763, "aux.acc_seg": 55.6278, "loss": 1.12616, "time": 0.52705} -{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 14203, "data_time": 0.00704, "decode.loss_seg": 0.72054, "decode.acc_seg": 61.10337, "aux.loss_seg": 0.36023, "aux.acc_seg": 58.19426, "loss": 1.08077, "time": 0.5259} -{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.77298, "decode.acc_seg": 60.47338, "aux.loss_seg": 0.38478, "aux.acc_seg": 57.40691, "loss": 1.15776, "time": 0.5529} -{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 14203, "data_time": 0.00757, "decode.loss_seg": 0.74306, "decode.acc_seg": 58.82682, "aux.loss_seg": 0.36927, "aux.acc_seg": 55.59284, "loss": 1.11233, "time": 0.54283} -{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.8085, "decode.acc_seg": 59.62369, "aux.loss_seg": 0.39048, "aux.acc_seg": 56.65193, "loss": 1.19898, "time": 0.52103} -{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 14203, "data_time": 0.0073, "decode.loss_seg": 0.71422, "decode.acc_seg": 60.73198, "aux.loss_seg": 0.35045, "aux.acc_seg": 58.10418, "loss": 1.06466, "time": 0.55212} -{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 14203, "data_time": 0.00756, "decode.loss_seg": 0.78748, "decode.acc_seg": 59.40806, "aux.loss_seg": 0.37759, "aux.acc_seg": 56.94017, "loss": 1.16507, "time": 0.54608} -{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 14203, "data_time": 0.00741, "decode.loss_seg": 0.7483, "decode.acc_seg": 60.07824, "aux.loss_seg": 0.35583, "aux.acc_seg": 57.7959, "loss": 1.10412, "time": 0.54386} -{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 14203, "data_time": 0.00777, "decode.loss_seg": 0.73331, "decode.acc_seg": 61.54124, "aux.loss_seg": 0.35857, "aux.acc_seg": 58.72192, "loss": 1.09188, "time": 0.52457} -{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 14203, "data_time": 0.00713, "decode.loss_seg": 0.75498, "decode.acc_seg": 59.22841, "aux.loss_seg": 0.36648, "aux.acc_seg": 56.59628, "loss": 1.12146, "time": 0.52097} -{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 14203, "data_time": 0.00775, "decode.loss_seg": 0.71064, "decode.acc_seg": 60.28756, "aux.loss_seg": 0.35715, "aux.acc_seg": 56.73432, "loss": 1.06778, "time": 0.52039} -{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.76044, "decode.acc_seg": 60.14811, "aux.loss_seg": 0.36307, "aux.acc_seg": 57.91948, "loss": 1.12351, "time": 0.51812} -{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.74507, "decode.acc_seg": 60.01169, "aux.loss_seg": 0.36549, "aux.acc_seg": 57.38803, "loss": 1.11056, "time": 0.53337} -{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 14203, "data_time": 0.23961, "decode.loss_seg": 0.67403, "decode.acc_seg": 59.62996, "aux.loss_seg": 0.33822, "aux.acc_seg": 56.67635, "loss": 1.01224, "time": 0.77657} -{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.70828, "decode.acc_seg": 61.36677, "aux.loss_seg": 0.35297, "aux.acc_seg": 58.16503, "loss": 1.06125, "time": 0.52018} -{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.70118, "decode.acc_seg": 61.43654, "aux.loss_seg": 0.34269, "aux.acc_seg": 58.52409, "loss": 1.04387, "time": 0.51608} -{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 14203, "data_time": 0.00719, "decode.loss_seg": 0.74815, "decode.acc_seg": 59.50431, "aux.loss_seg": 0.37075, "aux.acc_seg": 56.48001, "loss": 1.1189, "time": 0.52198} -{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.67586, "decode.acc_seg": 61.41817, "aux.loss_seg": 0.3323, "aux.acc_seg": 58.9036, "loss": 1.00816, "time": 0.51645} -{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 14203, "data_time": 0.00722, "decode.loss_seg": 0.71261, "decode.acc_seg": 61.97501, "aux.loss_seg": 0.35017, "aux.acc_seg": 58.7208, "loss": 1.06277, "time": 0.51309} -{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 0.68209, "decode.acc_seg": 62.18183, "aux.loss_seg": 0.34077, "aux.acc_seg": 59.01594, "loss": 1.02286, "time": 0.55037} -{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 14203, "data_time": 0.00777, "decode.loss_seg": 0.69545, "decode.acc_seg": 60.77668, "aux.loss_seg": 0.34067, "aux.acc_seg": 57.7351, "loss": 1.03612, "time": 0.55038} -{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.70883, "decode.acc_seg": 61.41768, "aux.loss_seg": 0.34183, "aux.acc_seg": 59.06772, "loss": 1.05066, "time": 0.52601} -{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 14203, "data_time": 0.00748, "decode.loss_seg": 0.68998, "decode.acc_seg": 60.80267, "aux.loss_seg": 0.33641, "aux.acc_seg": 58.21012, "loss": 1.02639, "time": 0.5298} -{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 14203, "data_time": 0.00782, "decode.loss_seg": 0.69486, "decode.acc_seg": 60.54436, "aux.loss_seg": 0.33633, "aux.acc_seg": 58.40023, "loss": 1.03119, "time": 0.52552} -{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 14203, "data_time": 0.00731, "decode.loss_seg": 0.67777, "decode.acc_seg": 61.67099, "aux.loss_seg": 0.32978, "aux.acc_seg": 59.24729, "loss": 1.00755, "time": 0.51295} -{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.6805, "decode.acc_seg": 62.76495, "aux.loss_seg": 0.32759, "aux.acc_seg": 60.21549, "loss": 1.00808, "time": 0.52748} -{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.74277, "decode.acc_seg": 59.79948, "aux.loss_seg": 0.35393, "aux.acc_seg": 56.93632, "loss": 1.0967, "time": 0.52428} -{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 14203, "data_time": 0.00721, "decode.loss_seg": 0.69516, "decode.acc_seg": 60.7798, "aux.loss_seg": 0.33159, "aux.acc_seg": 58.58683, "loss": 1.02675, "time": 0.51493} -{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 14203, "data_time": 0.00724, "decode.loss_seg": 0.70451, "decode.acc_seg": 60.67456, "aux.loss_seg": 0.33477, "aux.acc_seg": 58.26425, "loss": 1.03928, "time": 0.51363} -{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 14203, "data_time": 0.00731, "decode.loss_seg": 0.72261, "decode.acc_seg": 59.97789, "aux.loss_seg": 0.33797, "aux.acc_seg": 57.54463, "loss": 1.06058, "time": 0.53325} -{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 14203, "data_time": 0.00783, "decode.loss_seg": 0.67489, "decode.acc_seg": 60.55562, "aux.loss_seg": 0.32294, "aux.acc_seg": 58.07109, "loss": 0.99783, "time": 0.54725} -{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 14203, "data_time": 0.00775, "decode.loss_seg": 0.68189, "decode.acc_seg": 62.13246, "aux.loss_seg": 0.33147, "aux.acc_seg": 59.23243, "loss": 1.01336, "time": 0.53846} -{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 14203, "data_time": 0.00726, "decode.loss_seg": 0.67715, "decode.acc_seg": 61.54982, "aux.loss_seg": 0.32374, "aux.acc_seg": 59.44872, "loss": 1.00089, "time": 0.52003} -{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.70664, "decode.acc_seg": 59.48969, "aux.loss_seg": 0.33607, "aux.acc_seg": 57.47909, "loss": 1.04271, "time": 0.52002} -{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.69332, "decode.acc_seg": 60.45268, "aux.loss_seg": 0.325, "aux.acc_seg": 58.34722, "loss": 1.01832, "time": 0.52236} -{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 14203, "data_time": 0.00718, "decode.loss_seg": 0.67199, "decode.acc_seg": 60.57831, "aux.loss_seg": 0.31735, "aux.acc_seg": 58.48453, "loss": 0.98934, "time": 0.52681} -{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 14203, "data_time": 0.00737, "decode.loss_seg": 0.68388, "decode.acc_seg": 59.70003, "aux.loss_seg": 0.32335, "aux.acc_seg": 57.57339, "loss": 1.00724, "time": 0.52225} -{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 14203, "data_time": 0.00719, "decode.loss_seg": 0.69139, "decode.acc_seg": 61.49791, "aux.loss_seg": 0.32677, "aux.acc_seg": 59.36102, "loss": 1.01816, "time": 0.52383} -{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 14203, "data_time": 0.22406, "decode.loss_seg": 0.6586, "decode.acc_seg": 62.34193, "aux.loss_seg": 0.31572, "aux.acc_seg": 59.88983, "loss": 0.97432, "time": 0.73995} -{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 14203, "data_time": 0.00693, "decode.loss_seg": 0.65462, "decode.acc_seg": 61.37437, "aux.loss_seg": 0.31509, "aux.acc_seg": 58.90769, "loss": 0.96972, "time": 0.50861} -{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.63259, "decode.acc_seg": 62.2406, "aux.loss_seg": 0.30076, "aux.acc_seg": 60.41411, "loss": 0.93335, "time": 0.51582} -{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 14203, "data_time": 0.00707, "decode.loss_seg": 0.67041, "decode.acc_seg": 60.30243, "aux.loss_seg": 0.31758, "aux.acc_seg": 58.01407, "loss": 0.98799, "time": 0.5114} -{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 14203, "data_time": 0.00703, "decode.loss_seg": 0.62417, "decode.acc_seg": 64.14252, "aux.loss_seg": 0.30403, "aux.acc_seg": 61.59804, "loss": 0.92821, "time": 0.51461} -{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 14203, "data_time": 0.00762, "decode.loss_seg": 0.68156, "decode.acc_seg": 61.58632, "aux.loss_seg": 0.32875, "aux.acc_seg": 59.04891, "loss": 1.0103, "time": 0.51775} -{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 14203, "data_time": 0.00704, "decode.loss_seg": 0.63437, "decode.acc_seg": 62.49178, "aux.loss_seg": 0.30078, "aux.acc_seg": 60.3538, "loss": 0.93515, "time": 0.52327} -{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 14203, "data_time": 0.00763, "decode.loss_seg": 0.64037, "decode.acc_seg": 60.41956, "aux.loss_seg": 0.31178, "aux.acc_seg": 57.83187, "loss": 0.95215, "time": 0.51818} -{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.70001, "decode.acc_seg": 62.05274, "aux.loss_seg": 0.32712, "aux.acc_seg": 60.33677, "loss": 1.02713, "time": 0.51795} -{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.64361, "decode.acc_seg": 62.48022, "aux.loss_seg": 0.30924, "aux.acc_seg": 60.05271, "loss": 0.95285, "time": 0.54672} -{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.66699, "decode.acc_seg": 62.12824, "aux.loss_seg": 0.31698, "aux.acc_seg": 59.73276, "loss": 0.98397, "time": 0.51231} -{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 14203, "data_time": 0.00694, "decode.loss_seg": 0.64706, "decode.acc_seg": 61.08962, "aux.loss_seg": 0.30499, "aux.acc_seg": 58.89979, "loss": 0.95205, "time": 0.53688} -{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 14203, "data_time": 0.00693, "decode.loss_seg": 0.66601, "decode.acc_seg": 61.67495, "aux.loss_seg": 0.3137, "aux.acc_seg": 59.59745, "loss": 0.9797, "time": 0.51071} -{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.66362, "decode.acc_seg": 62.10921, "aux.loss_seg": 0.31122, "aux.acc_seg": 60.12256, "loss": 0.97484, "time": 0.51354} -{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 14203, "data_time": 0.00702, "decode.loss_seg": 0.66057, "decode.acc_seg": 61.60801, "aux.loss_seg": 0.31299, "aux.acc_seg": 59.69415, "loss": 0.97356, "time": 0.51368} -{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 14203, "data_time": 0.00764, "decode.loss_seg": 0.64957, "decode.acc_seg": 62.37757, "aux.loss_seg": 0.30721, "aux.acc_seg": 60.35325, "loss": 0.95679, "time": 0.51262} -{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.66919, "decode.acc_seg": 61.62308, "aux.loss_seg": 0.31892, "aux.acc_seg": 59.2077, "loss": 0.98811, "time": 0.51249} -{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 0.64453, "decode.acc_seg": 62.41957, "aux.loss_seg": 0.30767, "aux.acc_seg": 60.1628, "loss": 0.9522, "time": 0.51857} -{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 14203, "data_time": 0.00708, "decode.loss_seg": 0.64002, "decode.acc_seg": 61.17236, "aux.loss_seg": 0.29911, "aux.acc_seg": 59.13192, "loss": 0.93913, "time": 0.53194} -{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 14203, "data_time": 0.00713, "decode.loss_seg": 0.64118, "decode.acc_seg": 61.97536, "aux.loss_seg": 0.3013, "aux.acc_seg": 59.99195, "loss": 0.94248, "time": 0.53965} -{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 14203, "data_time": 0.00776, "decode.loss_seg": 0.64795, "decode.acc_seg": 62.2482, "aux.loss_seg": 0.31022, "aux.acc_seg": 60.13676, "loss": 0.95817, "time": 0.55444} -{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 14203, "data_time": 0.00749, "decode.loss_seg": 0.63299, "decode.acc_seg": 61.62332, "aux.loss_seg": 0.2993, "aux.acc_seg": 59.48606, "loss": 0.93229, "time": 0.55293} -{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 14203, "data_time": 0.00761, "decode.loss_seg": 0.67968, "decode.acc_seg": 60.97848, "aux.loss_seg": 0.3105, "aux.acc_seg": 58.97963, "loss": 0.99018, "time": 0.55042} -{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.65788, "decode.acc_seg": 61.52279, "aux.loss_seg": 0.31458, "aux.acc_seg": 59.31492, "loss": 0.97246, "time": 0.54164} -{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 14203, "data_time": 0.00779, "decode.loss_seg": 0.65039, "decode.acc_seg": 62.93461, "aux.loss_seg": 0.30675, "aux.acc_seg": 60.78389, "loss": 0.95713, "time": 0.54906} -{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 14203, "data_time": 0.23773, "decode.loss_seg": 0.61995, "decode.acc_seg": 61.79391, "aux.loss_seg": 0.29288, "aux.acc_seg": 59.68119, "loss": 0.91283, "time": 0.75291} -{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 14203, "data_time": 0.00698, "decode.loss_seg": 0.62888, "decode.acc_seg": 63.4666, "aux.loss_seg": 0.30393, "aux.acc_seg": 60.80208, "loss": 0.93282, "time": 0.51197} -{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 14203, "data_time": 0.00703, "decode.loss_seg": 0.62249, "decode.acc_seg": 62.23169, "aux.loss_seg": 0.29093, "aux.acc_seg": 59.96782, "loss": 0.91342, "time": 0.53579} -{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 14203, "data_time": 0.00746, "decode.loss_seg": 0.62036, "decode.acc_seg": 61.03195, "aux.loss_seg": 0.29098, "aux.acc_seg": 59.56708, "loss": 0.91134, "time": 0.5394} -{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 14203, "data_time": 0.0078, "decode.loss_seg": 0.63223, "decode.acc_seg": 62.27343, "aux.loss_seg": 0.29824, "aux.acc_seg": 59.88872, "loss": 0.93048, "time": 0.55254} -{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 14203, "data_time": 0.00745, "decode.loss_seg": 0.60263, "decode.acc_seg": 64.05298, "aux.loss_seg": 0.2861, "aux.acc_seg": 62.01298, "loss": 0.88872, "time": 0.54787} -{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 14203, "data_time": 0.00742, "decode.loss_seg": 0.63348, "decode.acc_seg": 62.57278, "aux.loss_seg": 0.29784, "aux.acc_seg": 60.67188, "loss": 0.93132, "time": 0.51936} -{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 14203, "data_time": 0.00699, "decode.loss_seg": 0.57596, "decode.acc_seg": 63.50513, "aux.loss_seg": 0.27569, "aux.acc_seg": 61.33904, "loss": 0.85165, "time": 0.51571} -{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.62145, "decode.acc_seg": 62.17868, "aux.loss_seg": 0.29194, "aux.acc_seg": 60.14537, "loss": 0.91339, "time": 0.52326} -{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.63304, "decode.acc_seg": 62.0817, "aux.loss_seg": 0.2961, "aux.acc_seg": 60.28521, "loss": 0.92914, "time": 0.52097} -{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.61172, "decode.acc_seg": 61.59936, "aux.loss_seg": 0.28858, "aux.acc_seg": 59.90364, "loss": 0.9003, "time": 0.53015} -{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 14203, "data_time": 0.00776, "decode.loss_seg": 0.63858, "decode.acc_seg": 61.91989, "aux.loss_seg": 0.29449, "aux.acc_seg": 60.20388, "loss": 0.93307, "time": 0.54502} -{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 14203, "data_time": 0.00759, "decode.loss_seg": 0.58799, "decode.acc_seg": 59.86516, "aux.loss_seg": 0.27498, "aux.acc_seg": 58.2643, "loss": 0.86297, "time": 0.52301} -{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 14203, "data_time": 0.00767, "decode.loss_seg": 0.58713, "decode.acc_seg": 63.46286, "aux.loss_seg": 0.2778, "aux.acc_seg": 61.47218, "loss": 0.86493, "time": 0.51764} -{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.61734, "decode.acc_seg": 63.08731, "aux.loss_seg": 0.29046, "aux.acc_seg": 61.04908, "loss": 0.9078, "time": 0.51427} -{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.60451, "decode.acc_seg": 62.0683, "aux.loss_seg": 0.28407, "aux.acc_seg": 60.18796, "loss": 0.88858, "time": 0.51854} -{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 14203, "data_time": 0.00704, "decode.loss_seg": 0.6311, "decode.acc_seg": 62.39142, "aux.loss_seg": 0.29804, "aux.acc_seg": 60.29786, "loss": 0.92914, "time": 0.52212} -{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 14203, "data_time": 0.00756, "decode.loss_seg": 0.65224, "decode.acc_seg": 63.70005, "aux.loss_seg": 0.30519, "aux.acc_seg": 61.4392, "loss": 0.95743, "time": 0.54727} -{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 14203, "data_time": 0.00777, "decode.loss_seg": 0.64103, "decode.acc_seg": 62.04671, "aux.loss_seg": 0.29554, "aux.acc_seg": 60.07279, "loss": 0.93656, "time": 0.53562} -{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 14203, "data_time": 0.00709, "decode.loss_seg": 0.66677, "decode.acc_seg": 59.83007, "aux.loss_seg": 0.30799, "aux.acc_seg": 58.21466, "loss": 0.97476, "time": 0.53203} -{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 14203, "data_time": 0.0071, "decode.loss_seg": 0.66008, "decode.acc_seg": 62.19508, "aux.loss_seg": 0.3032, "aux.acc_seg": 60.55276, "loss": 0.96329, "time": 0.51352} -{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.66147, "decode.acc_seg": 62.77903, "aux.loss_seg": 0.31605, "aux.acc_seg": 60.24759, "loss": 0.97753, "time": 0.53559} -{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.64949, "decode.acc_seg": 63.05002, "aux.loss_seg": 0.29736, "aux.acc_seg": 61.16038, "loss": 0.94686, "time": 0.51785} -{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 14203, "data_time": 0.00723, "decode.loss_seg": 0.64326, "decode.acc_seg": 63.68514, "aux.loss_seg": 0.30225, "aux.acc_seg": 61.52019, "loss": 0.94552, "time": 0.51792} -{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 14203, "data_time": 0.00716, "decode.loss_seg": 0.59618, "decode.acc_seg": 62.89869, "aux.loss_seg": 0.28177, "aux.acc_seg": 60.98495, "loss": 0.87796, "time": 0.51034} -{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 14203, "data_time": 0.23199, "decode.loss_seg": 0.62676, "decode.acc_seg": 62.55671, "aux.loss_seg": 0.29269, "aux.acc_seg": 60.41615, "loss": 0.91945, "time": 0.77007} -{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.56677, "decode.acc_seg": 63.62347, "aux.loss_seg": 0.26898, "aux.acc_seg": 61.31813, "loss": 0.83575, "time": 0.53632} -{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 14203, "data_time": 0.00806, "decode.loss_seg": 0.61399, "decode.acc_seg": 63.91067, "aux.loss_seg": 0.29231, "aux.acc_seg": 61.9402, "loss": 0.9063, "time": 0.51946} -{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 14203, "data_time": 0.0081, "decode.loss_seg": 0.55978, "decode.acc_seg": 64.43039, "aux.loss_seg": 0.26505, "aux.acc_seg": 62.38909, "loss": 0.82483, "time": 0.54966} -{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 14203, "data_time": 0.00799, "decode.loss_seg": 0.56629, "decode.acc_seg": 63.08542, "aux.loss_seg": 0.2719, "aux.acc_seg": 60.90013, "loss": 0.8382, "time": 0.53817} -{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 14203, "data_time": 0.00809, "decode.loss_seg": 0.59237, "decode.acc_seg": 64.62284, "aux.loss_seg": 0.28083, "aux.acc_seg": 62.51886, "loss": 0.8732, "time": 0.52441} -{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 14203, "data_time": 0.00735, "decode.loss_seg": 0.58495, "decode.acc_seg": 64.66649, "aux.loss_seg": 0.27713, "aux.acc_seg": 62.58765, "loss": 0.86209, "time": 0.51919} -{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 14203, "data_time": 0.00743, "decode.loss_seg": 0.57587, "decode.acc_seg": 65.21377, "aux.loss_seg": 0.27403, "aux.acc_seg": 63.21281, "loss": 0.8499, "time": 0.52964} -{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 14203, "data_time": 0.00805, "decode.loss_seg": 0.59722, "decode.acc_seg": 62.81878, "aux.loss_seg": 0.28264, "aux.acc_seg": 60.36366, "loss": 0.87987, "time": 0.5278} -{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 14203, "data_time": 0.00771, "decode.loss_seg": 0.57136, "decode.acc_seg": 63.1653, "aux.loss_seg": 0.2671, "aux.acc_seg": 61.15438, "loss": 0.83846, "time": 0.52856} -{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.57089, "decode.acc_seg": 63.87199, "aux.loss_seg": 0.27361, "aux.acc_seg": 61.48515, "loss": 0.8445, "time": 0.51945} -{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.57668, "decode.acc_seg": 61.94255, "aux.loss_seg": 0.26553, "aux.acc_seg": 60.6443, "loss": 0.84221, "time": 0.5206} -{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 14203, "data_time": 0.00821, "decode.loss_seg": 0.62316, "decode.acc_seg": 62.90112, "aux.loss_seg": 0.28298, "aux.acc_seg": 61.30076, "loss": 0.90614, "time": 0.55469} -{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 14203, "data_time": 0.00799, "decode.loss_seg": 0.58777, "decode.acc_seg": 64.99668, "aux.loss_seg": 0.28051, "aux.acc_seg": 62.4949, "loss": 0.86828, "time": 0.53173} -{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 14203, "data_time": 0.00785, "decode.loss_seg": 0.55354, "decode.acc_seg": 63.91334, "aux.loss_seg": 0.26423, "aux.acc_seg": 61.81381, "loss": 0.81777, "time": 0.51976} -{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 14203, "data_time": 0.00732, "decode.loss_seg": 0.6117, "decode.acc_seg": 63.21607, "aux.loss_seg": 0.28492, "aux.acc_seg": 61.18151, "loss": 0.89663, "time": 0.5411} -{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.57127, "decode.acc_seg": 63.00678, "aux.loss_seg": 0.26228, "aux.acc_seg": 61.47661, "loss": 0.83355, "time": 0.52882} -{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 14203, "data_time": 0.00781, "decode.loss_seg": 0.61303, "decode.acc_seg": 64.4038, "aux.loss_seg": 0.28268, "aux.acc_seg": 62.67773, "loss": 0.89572, "time": 0.52965} -{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 14203, "data_time": 0.00757, "decode.loss_seg": 0.5897, "decode.acc_seg": 62.39509, "aux.loss_seg": 0.27358, "aux.acc_seg": 60.88719, "loss": 0.86328, "time": 0.54633} -{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 14203, "data_time": 0.00683, "decode.loss_seg": 0.59897, "decode.acc_seg": 61.92751, "aux.loss_seg": 0.27887, "aux.acc_seg": 59.97664, "loss": 0.87784, "time": 0.51264} -{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 14203, "data_time": 0.00671, "decode.loss_seg": 0.57586, "decode.acc_seg": 62.31668, "aux.loss_seg": 0.26311, "aux.acc_seg": 60.8172, "loss": 0.83897, "time": 0.51449} -{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 14203, "data_time": 0.00688, "decode.loss_seg": 0.59182, "decode.acc_seg": 63.20119, "aux.loss_seg": 0.27688, "aux.acc_seg": 60.96059, "loss": 0.8687, "time": 0.5163} -{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 14203, "data_time": 0.00769, "decode.loss_seg": 0.57361, "decode.acc_seg": 63.70535, "aux.loss_seg": 0.26719, "aux.acc_seg": 62.05555, "loss": 0.8408, "time": 0.53516} -{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.63465, "decode.acc_seg": 61.65203, "aux.loss_seg": 0.29598, "aux.acc_seg": 59.81396, "loss": 0.93063, "time": 0.53225} -{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 14203, "data_time": 0.00696, "decode.loss_seg": 0.58621, "decode.acc_seg": 63.03666, "aux.loss_seg": 0.27349, "aux.acc_seg": 61.33386, "loss": 0.8597, "time": 0.51772} -{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 14203, "data_time": 0.00699, "decode.loss_seg": 0.58154, "decode.acc_seg": 62.8774, "aux.loss_seg": 0.26731, "aux.acc_seg": 61.15027, "loss": 0.84884, "time": 0.52979} -{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 14203, "data_time": 0.25144, "decode.loss_seg": 0.57656, "decode.acc_seg": 62.87383, "aux.loss_seg": 0.27012, "aux.acc_seg": 60.95508, "loss": 0.84669, "time": 0.78448} -{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 14203, "data_time": 0.00682, "decode.loss_seg": 0.55789, "decode.acc_seg": 64.46619, "aux.loss_seg": 0.26534, "aux.acc_seg": 62.26454, "loss": 0.82323, "time": 0.51829} -{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 0.55355, "decode.acc_seg": 64.29542, "aux.loss_seg": 0.25932, "aux.acc_seg": 62.37052, "loss": 0.81287, "time": 0.52504} -{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 14203, "data_time": 0.00676, "decode.loss_seg": 0.58861, "decode.acc_seg": 62.43955, "aux.loss_seg": 0.27233, "aux.acc_seg": 60.90092, "loss": 0.86094, "time": 0.55059} -{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 14203, "data_time": 0.00754, "decode.loss_seg": 0.58118, "decode.acc_seg": 63.51692, "aux.loss_seg": 0.26828, "aux.acc_seg": 61.55359, "loss": 0.84946, "time": 0.53598} -{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.5646, "decode.acc_seg": 63.80551, "aux.loss_seg": 0.26495, "aux.acc_seg": 61.80484, "loss": 0.82955, "time": 0.52264} -{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.55343, "decode.acc_seg": 63.45849, "aux.loss_seg": 0.259, "aux.acc_seg": 61.37869, "loss": 0.81243, "time": 0.51724} -{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 14203, "data_time": 0.00693, "decode.loss_seg": 0.60349, "decode.acc_seg": 62.34989, "aux.loss_seg": 0.28451, "aux.acc_seg": 60.58615, "loss": 0.888, "time": 0.5407} -{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 14203, "data_time": 0.0075, "decode.loss_seg": 0.58995, "decode.acc_seg": 63.04286, "aux.loss_seg": 0.27694, "aux.acc_seg": 61.30789, "loss": 0.86689, "time": 0.54324} -{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 14203, "data_time": 0.00779, "decode.loss_seg": 0.54128, "decode.acc_seg": 65.89424, "aux.loss_seg": 0.25806, "aux.acc_seg": 63.73761, "loss": 0.79934, "time": 0.53949} -{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 14203, "data_time": 0.00705, "decode.loss_seg": 0.56448, "decode.acc_seg": 63.48479, "aux.loss_seg": 0.26353, "aux.acc_seg": 61.34151, "loss": 0.82801, "time": 0.5153} -{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 14203, "data_time": 0.00746, "decode.loss_seg": 0.54888, "decode.acc_seg": 63.97692, "aux.loss_seg": 0.26131, "aux.acc_seg": 62.1359, "loss": 0.8102, "time": 0.51811} -{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 14203, "data_time": 0.00694, "decode.loss_seg": 0.57666, "decode.acc_seg": 63.6256, "aux.loss_seg": 0.27384, "aux.acc_seg": 61.51864, "loss": 0.8505, "time": 0.52795} -{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 14203, "data_time": 0.00723, "decode.loss_seg": 0.56158, "decode.acc_seg": 63.01368, "aux.loss_seg": 0.2601, "aux.acc_seg": 61.39563, "loss": 0.82168, "time": 0.512} -{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 14203, "data_time": 0.00702, "decode.loss_seg": 0.57718, "decode.acc_seg": 62.32864, "aux.loss_seg": 0.26229, "aux.acc_seg": 60.97884, "loss": 0.83947, "time": 0.52044} -{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 14203, "data_time": 0.00669, "decode.loss_seg": 0.5564, "decode.acc_seg": 64.48432, "aux.loss_seg": 0.25761, "aux.acc_seg": 62.84686, "loss": 0.81401, "time": 0.51808} -{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 14203, "data_time": 0.00684, "decode.loss_seg": 0.56417, "decode.acc_seg": 63.402, "aux.loss_seg": 0.26696, "aux.acc_seg": 61.18208, "loss": 0.83112, "time": 0.52005} -{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.58705, "decode.acc_seg": 63.66097, "aux.loss_seg": 0.2742, "aux.acc_seg": 61.70943, "loss": 0.86125, "time": 0.5165} -{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 14203, "data_time": 0.00724, "decode.loss_seg": 0.55507, "decode.acc_seg": 65.57609, "aux.loss_seg": 0.26099, "aux.acc_seg": 63.52173, "loss": 0.81606, "time": 0.51809} -{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 14203, "data_time": 0.00736, "decode.loss_seg": 0.61442, "decode.acc_seg": 64.37058, "aux.loss_seg": 0.28169, "aux.acc_seg": 62.51088, "loss": 0.8961, "time": 0.52074} -{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 14203, "data_time": 0.00738, "decode.loss_seg": 0.58272, "decode.acc_seg": 62.50604, "aux.loss_seg": 0.26761, "aux.acc_seg": 60.89627, "loss": 0.85033, "time": 0.52405} -{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.54377, "decode.acc_seg": 63.84813, "aux.loss_seg": 0.25494, "aux.acc_seg": 62.30601, "loss": 0.7987, "time": 0.52782} -{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 14203, "data_time": 0.00725, "decode.loss_seg": 0.55257, "decode.acc_seg": 63.74184, "aux.loss_seg": 0.26205, "aux.acc_seg": 61.87607, "loss": 0.81462, "time": 0.52099} -{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 14203, "data_time": 0.00764, "decode.loss_seg": 0.56599, "decode.acc_seg": 63.98504, "aux.loss_seg": 0.26048, "aux.acc_seg": 62.20573, "loss": 0.82647, "time": 0.54409} -{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.57417, "decode.acc_seg": 64.15579, "aux.loss_seg": 0.26849, "aux.acc_seg": 62.47761, "loss": 0.84266, "time": 0.51885} -{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 14203, "data_time": 0.23766, "decode.loss_seg": 0.57169, "decode.acc_seg": 63.98571, "aux.loss_seg": 0.26688, "aux.acc_seg": 62.50832, "loss": 0.83857, "time": 0.75148} -{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 14203, "data_time": 0.00739, "decode.loss_seg": 0.54018, "decode.acc_seg": 64.81872, "aux.loss_seg": 0.25092, "aux.acc_seg": 63.03177, "loss": 0.7911, "time": 0.5155} -{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 14203, "data_time": 0.00671, "decode.loss_seg": 0.538, "decode.acc_seg": 64.16295, "aux.loss_seg": 0.25495, "aux.acc_seg": 61.98969, "loss": 0.79295, "time": 0.51654} -{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 14203, "data_time": 0.00733, "decode.loss_seg": 0.56651, "decode.acc_seg": 63.10916, "aux.loss_seg": 0.26799, "aux.acc_seg": 61.02833, "loss": 0.8345, "time": 0.54459} -{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 14203, "data_time": 0.00738, "decode.loss_seg": 0.52276, "decode.acc_seg": 63.87861, "aux.loss_seg": 0.24786, "aux.acc_seg": 61.851, "loss": 0.77062, "time": 0.53474} -{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 14203, "data_time": 0.00748, "decode.loss_seg": 0.52349, "decode.acc_seg": 65.12969, "aux.loss_seg": 0.24849, "aux.acc_seg": 63.16317, "loss": 0.77198, "time": 0.5433} -{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 14203, "data_time": 0.00785, "decode.loss_seg": 0.5473, "decode.acc_seg": 65.05914, "aux.loss_seg": 0.25836, "aux.acc_seg": 63.11316, "loss": 0.80566, "time": 0.51984} -{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 14203, "data_time": 0.00735, "decode.loss_seg": 0.58674, "decode.acc_seg": 63.98081, "aux.loss_seg": 0.27146, "aux.acc_seg": 62.12806, "loss": 0.8582, "time": 0.52763} -{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.52396, "decode.acc_seg": 64.5257, "aux.loss_seg": 0.24603, "aux.acc_seg": 62.58724, "loss": 0.76999, "time": 0.52185} -{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 14203, "data_time": 0.00675, "decode.loss_seg": 0.53784, "decode.acc_seg": 65.29723, "aux.loss_seg": 0.2559, "aux.acc_seg": 63.16244, "loss": 0.79374, "time": 0.51726} -{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.53739, "decode.acc_seg": 64.15527, "aux.loss_seg": 0.25107, "aux.acc_seg": 62.51229, "loss": 0.78846, "time": 0.53954} -{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 14203, "data_time": 0.0074, "decode.loss_seg": 0.53615, "decode.acc_seg": 65.20848, "aux.loss_seg": 0.25521, "aux.acc_seg": 62.89897, "loss": 0.79137, "time": 0.54305} -{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 14203, "data_time": 0.00742, "decode.loss_seg": 0.52695, "decode.acc_seg": 64.07729, "aux.loss_seg": 0.24711, "aux.acc_seg": 62.19248, "loss": 0.77407, "time": 0.52672} -{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 14203, "data_time": 0.00694, "decode.loss_seg": 0.56475, "decode.acc_seg": 63.79816, "aux.loss_seg": 0.26404, "aux.acc_seg": 61.76094, "loss": 0.82879, "time": 0.5179} -{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 14203, "data_time": 0.00699, "decode.loss_seg": 0.58114, "decode.acc_seg": 63.86436, "aux.loss_seg": 0.26585, "aux.acc_seg": 62.18078, "loss": 0.84699, "time": 0.54343} -{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 14203, "data_time": 0.00765, "decode.loss_seg": 0.58104, "decode.acc_seg": 64.12578, "aux.loss_seg": 0.26624, "aux.acc_seg": 62.42806, "loss": 0.84728, "time": 0.53668} -{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 14203, "data_time": 0.00782, "decode.loss_seg": 0.54458, "decode.acc_seg": 63.5387, "aux.loss_seg": 0.2521, "aux.acc_seg": 61.90224, "loss": 0.79668, "time": 0.53205} -{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 14203, "data_time": 0.00734, "decode.loss_seg": 0.55709, "decode.acc_seg": 63.83021, "aux.loss_seg": 0.25822, "aux.acc_seg": 62.46632, "loss": 0.81531, "time": 0.52413} -{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 14203, "data_time": 0.00721, "decode.loss_seg": 0.55679, "decode.acc_seg": 64.69786, "aux.loss_seg": 0.25369, "aux.acc_seg": 63.21254, "loss": 0.81048, "time": 0.5133} -{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 0.56777, "decode.acc_seg": 64.17268, "aux.loss_seg": 0.26555, "aux.acc_seg": 62.0422, "loss": 0.83332, "time": 0.53361} -{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 14203, "data_time": 0.00717, "decode.loss_seg": 0.52656, "decode.acc_seg": 64.0316, "aux.loss_seg": 0.24951, "aux.acc_seg": 61.78562, "loss": 0.77607, "time": 0.51496} -{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 14203, "data_time": 0.00657, "decode.loss_seg": 0.53284, "decode.acc_seg": 65.58676, "aux.loss_seg": 0.24949, "aux.acc_seg": 63.52976, "loss": 0.78233, "time": 0.50909} -{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 14203, "data_time": 0.00649, "decode.loss_seg": 0.56921, "decode.acc_seg": 64.7797, "aux.loss_seg": 0.26674, "aux.acc_seg": 62.80932, "loss": 0.83595, "time": 0.51697} -{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.53999, "decode.acc_seg": 64.79105, "aux.loss_seg": 0.25399, "aux.acc_seg": 62.81044, "loss": 0.79398, "time": 0.53038} -{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 14203, "data_time": 0.0066, "decode.loss_seg": 0.55006, "decode.acc_seg": 64.60378, "aux.loss_seg": 0.2556, "aux.acc_seg": 63.00244, "loss": 0.80567, "time": 0.52878} -{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 14203, "data_time": 0.2338, "decode.loss_seg": 0.57992, "decode.acc_seg": 64.76284, "aux.loss_seg": 0.2697, "aux.acc_seg": 62.63445, "loss": 0.84961, "time": 0.76707} -{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 14203, "data_time": 0.0064, "decode.loss_seg": 0.51747, "decode.acc_seg": 65.45695, "aux.loss_seg": 0.24265, "aux.acc_seg": 63.87308, "loss": 0.76012, "time": 0.50778} -{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.54094, "decode.acc_seg": 63.0647, "aux.loss_seg": 0.25241, "aux.acc_seg": 60.82925, "loss": 0.79335, "time": 0.54166} -{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 14203, "data_time": 0.00723, "decode.loss_seg": 0.52266, "decode.acc_seg": 64.01384, "aux.loss_seg": 0.24777, "aux.acc_seg": 62.15106, "loss": 0.77043, "time": 0.53619} -{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 14203, "data_time": 0.00652, "decode.loss_seg": 0.53094, "decode.acc_seg": 64.12655, "aux.loss_seg": 0.24754, "aux.acc_seg": 62.49406, "loss": 0.77847, "time": 0.51417} -{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 14203, "data_time": 0.00703, "decode.loss_seg": 0.5396, "decode.acc_seg": 64.51332, "aux.loss_seg": 0.25089, "aux.acc_seg": 62.93683, "loss": 0.79049, "time": 0.53594} -{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 14203, "data_time": 0.00632, "decode.loss_seg": 0.53672, "decode.acc_seg": 63.96721, "aux.loss_seg": 0.2543, "aux.acc_seg": 62.07175, "loss": 0.79102, "time": 0.52575} -{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 14203, "data_time": 0.00639, "decode.loss_seg": 0.51329, "decode.acc_seg": 65.41602, "aux.loss_seg": 0.24033, "aux.acc_seg": 63.40061, "loss": 0.75362, "time": 0.54568} -{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 14203, "data_time": 0.00697, "decode.loss_seg": 0.52902, "decode.acc_seg": 65.34744, "aux.loss_seg": 0.24558, "aux.acc_seg": 63.64099, "loss": 0.7746, "time": 0.51858} -{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 0.54989, "decode.acc_seg": 63.9894, "aux.loss_seg": 0.25664, "aux.acc_seg": 62.20983, "loss": 0.80653, "time": 0.53055} -{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 14203, "data_time": 0.00715, "decode.loss_seg": 0.50934, "decode.acc_seg": 64.34297, "aux.loss_seg": 0.24115, "aux.acc_seg": 62.40532, "loss": 0.75048, "time": 0.51423} -{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 14203, "data_time": 0.00738, "decode.loss_seg": 0.51715, "decode.acc_seg": 64.88154, "aux.loss_seg": 0.24714, "aux.acc_seg": 62.70403, "loss": 0.76428, "time": 0.51597} -{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 14203, "data_time": 0.00646, "decode.loss_seg": 0.55021, "decode.acc_seg": 64.62093, "aux.loss_seg": 0.25259, "aux.acc_seg": 63.2758, "loss": 0.8028, "time": 0.51506} -{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.53205, "decode.acc_seg": 64.83772, "aux.loss_seg": 0.2488, "aux.acc_seg": 63.10131, "loss": 0.78085, "time": 0.51572} -{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 14203, "data_time": 0.00634, "decode.loss_seg": 0.5137, "decode.acc_seg": 64.22569, "aux.loss_seg": 0.23931, "aux.acc_seg": 62.62155, "loss": 0.753, "time": 0.51164} -{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 14203, "data_time": 0.00677, "decode.loss_seg": 0.54596, "decode.acc_seg": 64.03251, "aux.loss_seg": 0.25166, "aux.acc_seg": 62.46839, "loss": 0.79762, "time": 0.5158} -{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 14203, "data_time": 0.00655, "decode.loss_seg": 0.51317, "decode.acc_seg": 66.53126, "aux.loss_seg": 0.24119, "aux.acc_seg": 64.73914, "loss": 0.75436, "time": 0.51091} -{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 14203, "data_time": 0.00637, "decode.loss_seg": 0.5133, "decode.acc_seg": 66.08592, "aux.loss_seg": 0.24224, "aux.acc_seg": 64.02902, "loss": 0.75555, "time": 0.53166} -{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 14203, "data_time": 0.00679, "decode.loss_seg": 0.53537, "decode.acc_seg": 64.09597, "aux.loss_seg": 0.25038, "aux.acc_seg": 62.03662, "loss": 0.78575, "time": 0.5264} -{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 14203, "data_time": 0.00648, "decode.loss_seg": 0.55614, "decode.acc_seg": 65.27789, "aux.loss_seg": 0.26141, "aux.acc_seg": 63.34383, "loss": 0.81755, "time": 0.50984} -{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 14203, "data_time": 0.0064, "decode.loss_seg": 0.54844, "decode.acc_seg": 64.96064, "aux.loss_seg": 0.25875, "aux.acc_seg": 63.32294, "loss": 0.80719, "time": 0.52208} -{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 14203, "data_time": 0.00641, "decode.loss_seg": 0.54799, "decode.acc_seg": 65.331, "aux.loss_seg": 0.25319, "aux.acc_seg": 63.75284, "loss": 0.80117, "time": 0.51203} -{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 14203, "data_time": 0.00639, "decode.loss_seg": 0.53474, "decode.acc_seg": 64.51645, "aux.loss_seg": 0.24688, "aux.acc_seg": 62.65383, "loss": 0.78161, "time": 0.51384} -{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 14203, "data_time": 0.00656, "decode.loss_seg": 0.55037, "decode.acc_seg": 64.17754, "aux.loss_seg": 0.2566, "aux.acc_seg": 62.54024, "loss": 0.80697, "time": 0.51437} -{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 14203, "data_time": 0.00639, "decode.loss_seg": 0.54367, "decode.acc_seg": 64.2573, "aux.loss_seg": 0.24828, "aux.acc_seg": 62.84287, "loss": 0.79195, "time": 0.51135} -{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 14203, "data_time": 0.23939, "decode.loss_seg": 0.56693, "decode.acc_seg": 63.58719, "aux.loss_seg": 0.25709, "aux.acc_seg": 61.96548, "loss": 0.82402, "time": 0.76203} -{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 14203, "data_time": 0.00613, "decode.loss_seg": 0.52493, "decode.acc_seg": 67.0158, "aux.loss_seg": 0.24773, "aux.acc_seg": 64.82169, "loss": 0.77266, "time": 0.53388} -{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 14203, "data_time": 0.0067, "decode.loss_seg": 0.54469, "decode.acc_seg": 65.33091, "aux.loss_seg": 0.2537, "aux.acc_seg": 63.31314, "loss": 0.7984, "time": 0.53637} -{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 14203, "data_time": 0.0063, "decode.loss_seg": 0.49814, "decode.acc_seg": 64.68497, "aux.loss_seg": 0.23548, "aux.acc_seg": 62.91471, "loss": 0.73362, "time": 0.50822} -{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 14203, "data_time": 0.00621, "decode.loss_seg": 0.51877, "decode.acc_seg": 65.26124, "aux.loss_seg": 0.24455, "aux.acc_seg": 63.57143, "loss": 0.76332, "time": 0.51024} -{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 14203, "data_time": 0.00624, "decode.loss_seg": 0.5357, "decode.acc_seg": 63.7762, "aux.loss_seg": 0.25579, "aux.acc_seg": 61.66097, "loss": 0.79149, "time": 0.5097} -{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 14203, "data_time": 0.00613, "decode.loss_seg": 0.51668, "decode.acc_seg": 64.95063, "aux.loss_seg": 0.23919, "aux.acc_seg": 63.31491, "loss": 0.75587, "time": 0.51126} -{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 14203, "data_time": 0.00618, "decode.loss_seg": 0.50623, "decode.acc_seg": 65.65636, "aux.loss_seg": 0.23958, "aux.acc_seg": 63.50445, "loss": 0.74581, "time": 0.51209} -{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 14203, "data_time": 0.00617, "decode.loss_seg": 0.47341, "decode.acc_seg": 65.12985, "aux.loss_seg": 0.22514, "aux.acc_seg": 63.42077, "loss": 0.69855, "time": 0.52224} -{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 14203, "data_time": 0.0069, "decode.loss_seg": 0.46654, "decode.acc_seg": 66.02734, "aux.loss_seg": 0.22616, "aux.acc_seg": 63.65968, "loss": 0.6927, "time": 0.53157} -{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 14203, "data_time": 0.00684, "decode.loss_seg": 0.51225, "decode.acc_seg": 64.20608, "aux.loss_seg": 0.24242, "aux.acc_seg": 62.11746, "loss": 0.75467, "time": 0.54692} -{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 14203, "data_time": 0.00685, "decode.loss_seg": 0.4975, "decode.acc_seg": 64.23174, "aux.loss_seg": 0.23463, "aux.acc_seg": 62.33455, "loss": 0.73212, "time": 0.52066} -{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.52827, "decode.acc_seg": 65.55493, "aux.loss_seg": 0.25162, "aux.acc_seg": 63.35714, "loss": 0.77989, "time": 0.5222} -{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 14203, "data_time": 0.00708, "decode.loss_seg": 0.54555, "decode.acc_seg": 63.65905, "aux.loss_seg": 0.2547, "aux.acc_seg": 61.98061, "loss": 0.80025, "time": 0.54618} -{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 14203, "data_time": 0.00697, "decode.loss_seg": 0.48354, "decode.acc_seg": 65.03825, "aux.loss_seg": 0.22791, "aux.acc_seg": 63.45887, "loss": 0.71146, "time": 0.51908} -{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 14203, "data_time": 0.00635, "decode.loss_seg": 0.51376, "decode.acc_seg": 66.44267, "aux.loss_seg": 0.24014, "aux.acc_seg": 64.75814, "loss": 0.7539, "time": 0.50863} -{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 14203, "data_time": 0.00647, "decode.loss_seg": 0.52687, "decode.acc_seg": 65.25843, "aux.loss_seg": 0.24513, "aux.acc_seg": 63.46571, "loss": 0.772, "time": 0.51125} -{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 14203, "data_time": 0.00621, "decode.loss_seg": 0.51814, "decode.acc_seg": 67.04374, "aux.loss_seg": 0.24374, "aux.acc_seg": 65.03916, "loss": 0.76188, "time": 0.54479} -{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 14203, "data_time": 0.00685, "decode.loss_seg": 0.53116, "decode.acc_seg": 65.30498, "aux.loss_seg": 0.24211, "aux.acc_seg": 63.75266, "loss": 0.77328, "time": 0.5444} -{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 14203, "data_time": 0.00625, "decode.loss_seg": 0.51429, "decode.acc_seg": 64.93635, "aux.loss_seg": 0.23628, "aux.acc_seg": 63.45564, "loss": 0.75057, "time": 0.52279} -{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 14203, "data_time": 0.00629, "decode.loss_seg": 0.51917, "decode.acc_seg": 65.21956, "aux.loss_seg": 0.247, "aux.acc_seg": 63.12198, "loss": 0.76617, "time": 0.5192} -{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 14203, "data_time": 0.00706, "decode.loss_seg": 0.51035, "decode.acc_seg": 64.54494, "aux.loss_seg": 0.23772, "aux.acc_seg": 62.85246, "loss": 0.74806, "time": 0.51609} -{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 14203, "data_time": 0.00625, "decode.loss_seg": 0.51948, "decode.acc_seg": 63.33049, "aux.loss_seg": 0.24594, "aux.acc_seg": 61.36894, "loss": 0.76542, "time": 0.51515} -{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.49251, "decode.acc_seg": 65.37865, "aux.loss_seg": 0.23146, "aux.acc_seg": 63.78428, "loss": 0.72397, "time": 0.5127} -{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 14203, "data_time": 0.00631, "decode.loss_seg": 0.50955, "decode.acc_seg": 65.15372, "aux.loss_seg": 0.23744, "aux.acc_seg": 63.25251, "loss": 0.74699, "time": 0.52206} -{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.53016, "decode.acc_seg": 64.43688, "aux.loss_seg": 0.24295, "aux.acc_seg": 63.04781, "loss": 0.77311, "time": 0.51062} -{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 14203, "data_time": 0.23038, "decode.loss_seg": 0.51306, "decode.acc_seg": 64.95763, "aux.loss_seg": 0.24268, "aux.acc_seg": 62.87929, "loss": 0.75574, "time": 0.73835} -{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 14203, "data_time": 0.0065, "decode.loss_seg": 0.49283, "decode.acc_seg": 65.42704, "aux.loss_seg": 0.2367, "aux.acc_seg": 63.27489, "loss": 0.72954, "time": 0.52539} -{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 14203, "data_time": 0.00649, "decode.loss_seg": 0.5047, "decode.acc_seg": 66.47681, "aux.loss_seg": 0.24183, "aux.acc_seg": 64.45926, "loss": 0.74653, "time": 0.50899} -{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 14203, "data_time": 0.00673, "decode.loss_seg": 0.48849, "decode.acc_seg": 67.81539, "aux.loss_seg": 0.2291, "aux.acc_seg": 65.99612, "loss": 0.71759, "time": 0.51269} -{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 14203, "data_time": 0.00644, "decode.loss_seg": 0.52566, "decode.acc_seg": 64.27358, "aux.loss_seg": 0.24674, "aux.acc_seg": 62.30978, "loss": 0.7724, "time": 0.52486} -{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 14203, "data_time": 0.00638, "decode.loss_seg": 0.5071, "decode.acc_seg": 66.57608, "aux.loss_seg": 0.24438, "aux.acc_seg": 64.33314, "loss": 0.75148, "time": 0.51374} -{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 14203, "data_time": 0.00657, "decode.loss_seg": 0.48812, "decode.acc_seg": 65.4695, "aux.loss_seg": 0.23598, "aux.acc_seg": 63.45566, "loss": 0.72411, "time": 0.51281} -{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 14203, "data_time": 0.00686, "decode.loss_seg": 0.46688, "decode.acc_seg": 67.61507, "aux.loss_seg": 0.22543, "aux.acc_seg": 65.49489, "loss": 0.69231, "time": 0.51083} -{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 14203, "data_time": 0.00668, "decode.loss_seg": 0.47958, "decode.acc_seg": 64.68738, "aux.loss_seg": 0.22759, "aux.acc_seg": 62.82254, "loss": 0.70717, "time": 0.51713} -{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 14203, "data_time": 0.00687, "decode.loss_seg": 0.503, "decode.acc_seg": 66.46772, "aux.loss_seg": 0.23564, "aux.acc_seg": 64.58388, "loss": 0.73864, "time": 0.51707} -{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 14203, "data_time": 0.00666, "decode.loss_seg": 0.49154, "decode.acc_seg": 65.20234, "aux.loss_seg": 0.2283, "aux.acc_seg": 63.54864, "loss": 0.71985, "time": 0.51437} -{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 14203, "data_time": 0.00714, "decode.loss_seg": 0.50497, "decode.acc_seg": 65.17171, "aux.loss_seg": 0.23395, "aux.acc_seg": 63.72022, "loss": 0.73893, "time": 0.51603} -{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 14203, "data_time": 0.00641, "decode.loss_seg": 0.49871, "decode.acc_seg": 65.4953, "aux.loss_seg": 0.23779, "aux.acc_seg": 63.7194, "loss": 0.7365, "time": 0.51063} -{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 14203, "data_time": 0.00691, "decode.loss_seg": 0.49321, "decode.acc_seg": 64.1159, "aux.loss_seg": 0.23142, "aux.acc_seg": 62.41027, "loss": 0.72463, "time": 0.51157} -{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 14203, "data_time": 0.00674, "decode.loss_seg": 0.50683, "decode.acc_seg": 65.26353, "aux.loss_seg": 0.23925, "aux.acc_seg": 63.52562, "loss": 0.74607, "time": 0.5109} -{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 14203, "data_time": 0.00654, "decode.loss_seg": 0.48889, "decode.acc_seg": 65.27719, "aux.loss_seg": 0.229, "aux.acc_seg": 63.69466, "loss": 0.7179, "time": 0.51224} -{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.4173, "mAcc": 0.5475, "aAcc": 0.7934, "IoU.wall": 0.7154, "IoU.building": 0.792, "IoU.sky": 0.934, "IoU.floor": 0.7848, "IoU.tree": 0.7063, "IoU.ceiling": 0.801, "IoU.road": 0.8125, "IoU.bed ": 0.8137, "IoU.windowpane": 0.5491, "IoU.grass": 0.6349, "IoU.cabinet": 0.5324, "IoU.sidewalk": 0.5919, "IoU.person": 0.7484, "IoU.earth": 0.3164, "IoU.door": 0.4108, "IoU.table": 0.4945, "IoU.mountain": 0.5741, "IoU.plant": 0.4425, "IoU.curtain": 0.6137, "IoU.chair": 0.4805, "IoU.car": 0.8131, "IoU.water": 0.5225, "IoU.painting": 0.5848, "IoU.sofa": 0.5031, "IoU.shelf": 0.4141, "IoU.house": 0.3642, "IoU.sea": 0.5932, "IoU.mirror": 0.4931, "IoU.rug": 0.6505, "IoU.field": 0.2886, "IoU.armchair": 0.2935, "IoU.seat": 0.5833, "IoU.fence": 0.4551, "IoU.desk": 0.3727, "IoU.rock": 0.4168, "IoU.wardrobe": 0.4436, "IoU.lamp": 0.4858, "IoU.bathtub": 0.6376, "IoU.railing": 0.3227, "IoU.cushion": 0.3928, "IoU.base": 0.3673, "IoU.box": 0.2316, "IoU.column": 0.4257, "IoU.signboard": 0.3309, "IoU.chest of drawers": 0.3518, "IoU.counter": 0.3073, "IoU.sand": 0.3448, "IoU.sink": 0.5802, "IoU.skyscraper": 0.6189, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5763, "IoU.grandstand": 0.4115, "IoU.path": 0.1798, "IoU.stairs": 0.254, "IoU.runway": 0.7246, "IoU.case": 0.4415, "IoU.pool table": 0.8933, "IoU.pillow": 0.4507, "IoU.screen door": 0.6207, "IoU.stairway": 0.3154, "IoU.river": 0.0985, "IoU.bridge": 0.5765, "IoU.bookcase": 0.2033, "IoU.blind": NaN, "IoU.coffee table": 0.4436, "IoU.toilet": 0.7532, "IoU.flower": 0.3511, "IoU.book": 0.4264, "IoU.hill": 0.043, "IoU.bench": 0.3802, "IoU.countertop": 0.4784, "IoU.stove": 0.5503, "IoU.palm": 0.4224, "IoU.kitchen island": 0.275, "IoU.computer": 0.6673, "IoU.swivel chair": 0.4154, "IoU.boat": 0.5706, "IoU.bar": 0.4709, "IoU.arcade machine": 0.6551, "IoU.hovel": 0.5028, "IoU.bus": 0.6413, "IoU.towel": 0.4839, "IoU.light": 0.3708, "IoU.truck": 0.2397, "IoU.tower": 0.3966, "IoU.chandelier": 0.5595, "IoU.awning": 0.1764, "IoU.streetlight": 0.1486, "IoU.booth": 0.4817, "IoU.television receiver": NaN, "IoU.airplane": 0.5419, "IoU.dirt track": 0.0687, "IoU.apparel": 0.2346, "IoU.pole": 0.1435, "IoU.land": 0.0, "IoU.bannister": 0.0535, "IoU.escalator": 0.3626, "IoU.ottoman": 0.3002, "IoU.bottle": NaN, "IoU.buffet": 0.4661, "IoU.poster": 0.1367, "IoU.stage": 0.0981, "IoU.van": 0.363, "IoU.ship": 0.7205, "IoU.fountain": 0.2267, "IoU.conveyer belt": 0.4648, "IoU.canopy": 0.2274, "IoU.washer": 0.6191, "IoU.plaything": 0.1369, "IoU.swimming pool": 0.7371, "IoU.stool": 0.169, "IoU.barrel": 0.532, "IoU.basket": 0.2048, "IoU.waterfall": 0.5841, "IoU.tent": 0.8876, "IoU.bag": 0.0244, "IoU.minibike": 0.602, "IoU.cradle": NaN, "IoU.oven": 0.0712, "IoU.ball": 0.2802, "IoU.food": 0.5686, "IoU.step": 0.001, "IoU.tank": 0.5468, "IoU.trade name": 0.1239, "IoU.microwave": 0.4566, "IoU.pot": 0.4906, "IoU.animal": NaN, "IoU.bicycle": 0.496, "IoU.lake": 0.0636, "IoU.dishwasher": 0.2227, "IoU.screen": 0.6047, "IoU.blanket": 0.0251, "IoU.sculpture": 0.3912, "IoU.hood": 0.3759, "IoU.sconce": 0.1583, "IoU.vase": 0.2467, "IoU.traffic light": 0.1953, "IoU.tray": 0.0039, "IoU.ashcan": 0.2946, "IoU.fan": 0.4479, "IoU.pier": 0.292, "IoU.crt screen": 0.0, "IoU.plate": 0.49, "IoU.monitor": 0.3881, "IoU.bulletin board": 0.3448, "IoU.shower": 0.0, "IoU.radiator": 0.4792, "IoU.glass": 0.0575, "IoU.clock": 0.2172, "IoU.flag": 0.2604, "Acc.wall": 0.8243, "Acc.building": 0.9307, "Acc.sky": 0.9592, "Acc.floor": 0.871, "Acc.tree": 0.8662, "Acc.ceiling": 0.8601, "Acc.road": 0.8687, "Acc.bed ": 0.9496, "Acc.windowpane": 0.7475, "Acc.grass": 0.7416, "Acc.cabinet": 0.6652, "Acc.sidewalk": 0.7305, "Acc.person": 0.853, "Acc.earth": 0.4799, "Acc.door": 0.5606, "Acc.table": 0.6619, "Acc.mountain": 0.7886, "Acc.plant": 0.5175, "Acc.curtain": 0.8334, "Acc.chair": 0.7371, "Acc.car": 0.9022, "Acc.water": 0.7055, "Acc.painting": 0.8578, "Acc.sofa": 0.6816, "Acc.shelf": 0.6299, "Acc.house": 0.396, "Acc.sea": 0.7922, "Acc.mirror": 0.697, "Acc.rug": 0.7698, "Acc.field": 0.5924, "Acc.armchair": 0.4515, "Acc.seat": 0.7893, "Acc.fence": 0.6475, "Acc.desk": 0.5355, "Acc.rock": 0.6469, "Acc.wardrobe": 0.6151, "Acc.lamp": 0.66, "Acc.bathtub": 0.7008, "Acc.railing": 0.4397, "Acc.cushion": 0.484, "Acc.base": 0.5329, "Acc.box": 0.3486, "Acc.column": 0.5808, "Acc.signboard": 0.4325, "Acc.chest of drawers": 0.4194, "Acc.counter": 0.4747, "Acc.sand": 0.4828, "Acc.sink": 0.6734, "Acc.skyscraper": 0.8701, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7918, "Acc.grandstand": 0.7708, "Acc.path": 0.2811, "Acc.stairs": 0.3264, "Acc.runway": 0.9551, "Acc.case": 0.4874, "Acc.pool table": 0.9562, "Acc.pillow": 0.6022, "Acc.screen door": 0.7565, "Acc.stairway": 0.4761, "Acc.river": 0.1485, "Acc.bridge": 0.82, "Acc.bookcase": 0.2509, "Acc.blind": NaN, "Acc.coffee table": 0.825, "Acc.toilet": 0.8295, "Acc.flower": 0.443, "Acc.book": 0.6339, "Acc.hill": 0.0719, "Acc.bench": 0.4608, "Acc.countertop": 0.6471, "Acc.stove": 0.8717, "Acc.palm": 0.6892, "Acc.kitchen island": 0.7452, "Acc.computer": 0.8434, "Acc.swivel chair": 0.5081, "Acc.boat": 0.747, "Acc.bar": 0.5697, "Acc.arcade machine": 0.7224, "Acc.hovel": 0.598, "Acc.bus": 0.9601, "Acc.towel": 0.5924, "Acc.light": 0.4026, "Acc.truck": 0.3742, "Acc.tower": 0.8198, "Acc.chandelier": 0.8223, "Acc.awning": 0.1956, "Acc.streetlight": 0.1801, "Acc.booth": 0.686, "Acc.television receiver": NaN, "Acc.airplane": 0.6967, "Acc.dirt track": 0.1402, "Acc.apparel": 0.4305, "Acc.pole": 0.197, "Acc.land": 0.0, "Acc.bannister": 0.0639, "Acc.escalator": 0.5519, "Acc.ottoman": 0.3976, "Acc.bottle": NaN, "Acc.buffet": 0.5865, "Acc.poster": 0.1585, "Acc.stage": 0.2117, "Acc.van": 0.4763, "Acc.ship": 0.8094, "Acc.fountain": 0.2491, "Acc.conveyer belt": 0.6491, "Acc.canopy": 0.3148, "Acc.washer": 0.7827, "Acc.plaything": 0.1732, "Acc.swimming pool": 0.78, "Acc.stool": 0.1841, "Acc.barrel": 0.6149, "Acc.basket": 0.2865, "Acc.waterfall": 0.8079, "Acc.tent": 0.978, "Acc.bag": 0.0261, "Acc.minibike": 0.7945, "Acc.cradle": NaN, "Acc.oven": 0.1533, "Acc.ball": 0.291, "Acc.food": 0.7486, "Acc.step": 0.0011, "Acc.tank": 0.5695, "Acc.trade name": 0.1281, "Acc.microwave": 0.5802, "Acc.pot": 0.5324, "Acc.animal": NaN, "Acc.bicycle": 0.6917, "Acc.lake": 0.1007, "Acc.dishwasher": 0.3858, "Acc.screen": 0.8687, "Acc.blanket": 0.0278, "Acc.sculpture": 0.5071, "Acc.hood": 0.57, "Acc.sconce": 0.1796, "Acc.vase": 0.3872, "Acc.traffic light": 0.3398, "Acc.tray": 0.0047, "Acc.ashcan": 0.4023, "Acc.fan": 0.5416, "Acc.pier": 0.4449, "Acc.crt screen": 0.0, "Acc.plate": 0.737, "Acc.monitor": 0.5911, "Acc.bulletin board": 0.4668, "Acc.shower": 0.0, "Acc.radiator": 0.5097, "Acc.glass": 0.0607, "Acc.clock": 0.2341, "Acc.flag": 0.3114} -{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 22404, "data_time": 3.83884, "decode.loss_seg": 0.51116, "decode.acc_seg": 66.43035, "aux.loss_seg": 0.23689, "aux.acc_seg": 64.70794, "loss": 0.74805, "time": 4.34721} -{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.50753, "decode.acc_seg": 65.82415, "aux.loss_seg": 0.23882, "aux.acc_seg": 63.91275, "loss": 0.74635, "time": 0.51501} -{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.50701, "decode.acc_seg": 65.07144, "aux.loss_seg": 0.23642, "aux.acc_seg": 63.04345, "loss": 0.74343, "time": 0.52028} -{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.50658, "decode.acc_seg": 65.56734, "aux.loss_seg": 0.23974, "aux.acc_seg": 63.79339, "loss": 0.74632, "time": 0.54061} -{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.49103, "decode.acc_seg": 65.14695, "aux.loss_seg": 0.22995, "aux.acc_seg": 63.03114, "loss": 0.72099, "time": 0.54779} -{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.48131, "decode.acc_seg": 66.70573, "aux.loss_seg": 0.22862, "aux.acc_seg": 64.34517, "loss": 0.70993, "time": 0.51537} -{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.50011, "decode.acc_seg": 65.16275, "aux.loss_seg": 0.23272, "aux.acc_seg": 63.26978, "loss": 0.73283, "time": 0.52927} -{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.50171, "decode.acc_seg": 66.99127, "aux.loss_seg": 0.23729, "aux.acc_seg": 65.19536, "loss": 0.73901, "time": 0.51679} -{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 22404, "data_time": 0.24192, "decode.loss_seg": 0.49323, "decode.acc_seg": 66.73635, "aux.loss_seg": 0.23291, "aux.acc_seg": 64.61168, "loss": 0.72614, "time": 0.75705} -{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.47718, "decode.acc_seg": 66.72441, "aux.loss_seg": 0.2282, "aux.acc_seg": 64.80746, "loss": 0.70538, "time": 0.53722} -{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.4686, "decode.acc_seg": 66.88257, "aux.loss_seg": 0.22248, "aux.acc_seg": 64.81496, "loss": 0.69108, "time": 0.51986} -{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.48302, "decode.acc_seg": 64.57392, "aux.loss_seg": 0.22895, "aux.acc_seg": 62.55729, "loss": 0.71197, "time": 0.51512} -{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.45399, "decode.acc_seg": 65.60326, "aux.loss_seg": 0.21796, "aux.acc_seg": 63.64435, "loss": 0.67195, "time": 0.51392} -{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.46789, "decode.acc_seg": 65.42155, "aux.loss_seg": 0.2254, "aux.acc_seg": 63.29363, "loss": 0.6933, "time": 0.53882} -{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.47657, "decode.acc_seg": 64.9746, "aux.loss_seg": 0.22711, "aux.acc_seg": 62.8885, "loss": 0.70367, "time": 0.52193} -{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.4439, "decode.acc_seg": 65.68658, "aux.loss_seg": 0.20968, "aux.acc_seg": 64.17898, "loss": 0.65358, "time": 0.51574} -{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.45481, "decode.acc_seg": 66.06421, "aux.loss_seg": 0.21544, "aux.acc_seg": 63.91003, "loss": 0.67025, "time": 0.5425} -{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.49593, "decode.acc_seg": 65.32854, "aux.loss_seg": 0.23329, "aux.acc_seg": 63.61666, "loss": 0.72922, "time": 0.53343} -{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.47363, "decode.acc_seg": 66.20993, "aux.loss_seg": 0.22195, "aux.acc_seg": 64.57799, "loss": 0.69558, "time": 0.5279} -{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.4844, "decode.acc_seg": 67.92517, "aux.loss_seg": 0.22911, "aux.acc_seg": 66.07559, "loss": 0.71351, "time": 0.51343} -{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.47347, "decode.acc_seg": 67.85514, "aux.loss_seg": 0.22708, "aux.acc_seg": 65.64524, "loss": 0.70055, "time": 0.50949} -{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.50455, "decode.acc_seg": 64.25358, "aux.loss_seg": 0.23473, "aux.acc_seg": 62.76088, "loss": 0.73929, "time": 0.51969} -{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.48197, "decode.acc_seg": 65.95157, "aux.loss_seg": 0.22923, "aux.acc_seg": 64.12628, "loss": 0.7112, "time": 0.5309} -{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.49351, "decode.acc_seg": 64.38412, "aux.loss_seg": 0.2355, "aux.acc_seg": 62.15721, "loss": 0.72902, "time": 0.5125} -{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.50222, "decode.acc_seg": 66.15788, "aux.loss_seg": 0.23796, "aux.acc_seg": 64.39102, "loss": 0.74017, "time": 0.51864} -{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.49207, "decode.acc_seg": 65.79246, "aux.loss_seg": 0.23457, "aux.acc_seg": 63.77156, "loss": 0.72664, "time": 0.5128} -{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.47038, "decode.acc_seg": 67.16547, "aux.loss_seg": 0.22363, "aux.acc_seg": 65.05419, "loss": 0.69401, "time": 0.51915} -{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.4726, "decode.acc_seg": 65.99258, "aux.loss_seg": 0.22072, "aux.acc_seg": 64.26375, "loss": 0.69331, "time": 0.52613} -{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.46518, "decode.acc_seg": 65.83695, "aux.loss_seg": 0.2183, "aux.acc_seg": 63.95137, "loss": 0.68348, "time": 0.51546} -{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.52091, "decode.acc_seg": 64.99991, "aux.loss_seg": 0.24072, "aux.acc_seg": 63.33176, "loss": 0.76163, "time": 0.53174} -{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.45599, "decode.acc_seg": 66.00059, "aux.loss_seg": 0.21344, "aux.acc_seg": 64.40692, "loss": 0.66943, "time": 0.51691} -{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.4575, "decode.acc_seg": 66.57359, "aux.loss_seg": 0.21946, "aux.acc_seg": 64.38153, "loss": 0.67696, "time": 0.52109} -{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.47682, "decode.acc_seg": 65.35906, "aux.loss_seg": 0.22214, "aux.acc_seg": 63.71481, "loss": 0.69896, "time": 0.51608} -{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 22404, "data_time": 0.24541, "decode.loss_seg": 0.45924, "decode.acc_seg": 66.62778, "aux.loss_seg": 0.21807, "aux.acc_seg": 64.88348, "loss": 0.67731, "time": 0.74705} -{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.51309, "decode.acc_seg": 65.94025, "aux.loss_seg": 0.24661, "aux.acc_seg": 63.89282, "loss": 0.7597, "time": 0.51135} -{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.45863, "decode.acc_seg": 66.4137, "aux.loss_seg": 0.2177, "aux.acc_seg": 64.84227, "loss": 0.67633, "time": 0.51107} -{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 22404, "data_time": 0.00813, "decode.loss_seg": 0.48263, "decode.acc_seg": 65.67406, "aux.loss_seg": 0.23085, "aux.acc_seg": 63.70282, "loss": 0.71348, "time": 0.54539} -{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.48959, "decode.acc_seg": 65.519, "aux.loss_seg": 0.23066, "aux.acc_seg": 63.81128, "loss": 0.72024, "time": 0.54452} -{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.48, "decode.acc_seg": 65.08855, "aux.loss_seg": 0.22781, "aux.acc_seg": 63.14351, "loss": 0.70781, "time": 0.54573} -{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.4485, "decode.acc_seg": 66.83916, "aux.loss_seg": 0.21653, "aux.acc_seg": 64.93601, "loss": 0.66503, "time": 0.51484} -{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.45892, "decode.acc_seg": 65.21739, "aux.loss_seg": 0.22158, "aux.acc_seg": 62.93185, "loss": 0.6805, "time": 0.53182} -{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.50783, "decode.acc_seg": 66.92063, "aux.loss_seg": 0.23759, "aux.acc_seg": 65.17731, "loss": 0.74542, "time": 0.51843} -{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.43909, "decode.acc_seg": 68.44901, "aux.loss_seg": 0.20998, "aux.acc_seg": 66.62059, "loss": 0.64906, "time": 0.53841} -{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.47245, "decode.acc_seg": 66.25621, "aux.loss_seg": 0.2225, "aux.acc_seg": 64.41426, "loss": 0.69494, "time": 0.51332} -{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 22404, "data_time": 0.00618, "decode.loss_seg": 0.46419, "decode.acc_seg": 65.74398, "aux.loss_seg": 0.21853, "aux.acc_seg": 64.0184, "loss": 0.68272, "time": 0.51196} -{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 22404, "data_time": 0.00627, "decode.loss_seg": 0.48345, "decode.acc_seg": 65.34019, "aux.loss_seg": 0.23052, "aux.acc_seg": 63.12293, "loss": 0.71397, "time": 0.51034} -{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 22404, "data_time": 0.0065, "decode.loss_seg": 0.47465, "decode.acc_seg": 66.70911, "aux.loss_seg": 0.22828, "aux.acc_seg": 65.06796, "loss": 0.70294, "time": 0.50786} -{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.48896, "decode.acc_seg": 67.18235, "aux.loss_seg": 0.23565, "aux.acc_seg": 64.88188, "loss": 0.72461, "time": 0.51734} -{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.4823, "decode.acc_seg": 65.37642, "aux.loss_seg": 0.2274, "aux.acc_seg": 63.36971, "loss": 0.70969, "time": 0.51044} -{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.48619, "decode.acc_seg": 64.60252, "aux.loss_seg": 0.22637, "aux.acc_seg": 62.85703, "loss": 0.71256, "time": 0.5177} -{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.49453, "decode.acc_seg": 67.17675, "aux.loss_seg": 0.23215, "aux.acc_seg": 65.34735, "loss": 0.72667, "time": 0.53759} -{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.44931, "decode.acc_seg": 65.84429, "aux.loss_seg": 0.21076, "aux.acc_seg": 64.05851, "loss": 0.66006, "time": 0.52591} -{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.47679, "decode.acc_seg": 66.68673, "aux.loss_seg": 0.22707, "aux.acc_seg": 64.94219, "loss": 0.70386, "time": 0.54128} -{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.48807, "decode.acc_seg": 65.8918, "aux.loss_seg": 0.23237, "aux.acc_seg": 64.18741, "loss": 0.72044, "time": 0.51729} -{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.46289, "decode.acc_seg": 66.41451, "aux.loss_seg": 0.21806, "aux.acc_seg": 64.59387, "loss": 0.68095, "time": 0.51447} -{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.47492, "decode.acc_seg": 65.66086, "aux.loss_seg": 0.22345, "aux.acc_seg": 63.86279, "loss": 0.69837, "time": 0.51271} -{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.47398, "decode.acc_seg": 67.1036, "aux.loss_seg": 0.22306, "aux.acc_seg": 65.44163, "loss": 0.69704, "time": 0.52187} -{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.4531, "decode.acc_seg": 67.00197, "aux.loss_seg": 0.21974, "aux.acc_seg": 64.70599, "loss": 0.67283, "time": 0.53843} -{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 22404, "data_time": 0.24964, "decode.loss_seg": 0.45739, "decode.acc_seg": 67.37802, "aux.loss_seg": 0.21225, "aux.acc_seg": 65.87624, "loss": 0.66964, "time": 0.7619} -{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.44052, "decode.acc_seg": 66.18383, "aux.loss_seg": 0.21234, "aux.acc_seg": 64.28479, "loss": 0.65286, "time": 0.51623} -{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.4401, "decode.acc_seg": 66.79609, "aux.loss_seg": 0.21162, "aux.acc_seg": 64.64352, "loss": 0.65172, "time": 0.51945} -{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.45315, "decode.acc_seg": 67.67982, "aux.loss_seg": 0.21719, "aux.acc_seg": 65.81271, "loss": 0.67034, "time": 0.51794} -{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.4736, "decode.acc_seg": 65.32294, "aux.loss_seg": 0.21884, "aux.acc_seg": 63.44013, "loss": 0.69244, "time": 0.51694} -{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.45137, "decode.acc_seg": 67.02085, "aux.loss_seg": 0.21561, "aux.acc_seg": 65.13241, "loss": 0.66698, "time": 0.52216} -{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.45167, "decode.acc_seg": 67.00484, "aux.loss_seg": 0.21685, "aux.acc_seg": 64.7761, "loss": 0.66852, "time": 0.53165} -{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.45951, "decode.acc_seg": 65.47273, "aux.loss_seg": 0.21865, "aux.acc_seg": 63.71554, "loss": 0.67816, "time": 0.51444} -{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.45484, "decode.acc_seg": 64.56545, "aux.loss_seg": 0.2186, "aux.acc_seg": 62.76857, "loss": 0.67344, "time": 0.51735} -{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.46938, "decode.acc_seg": 67.81081, "aux.loss_seg": 0.21534, "aux.acc_seg": 66.33881, "loss": 0.68472, "time": 0.53369} -{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.45931, "decode.acc_seg": 66.00263, "aux.loss_seg": 0.21895, "aux.acc_seg": 64.51393, "loss": 0.67826, "time": 0.51951} -{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.45102, "decode.acc_seg": 65.15654, "aux.loss_seg": 0.21787, "aux.acc_seg": 63.16438, "loss": 0.66889, "time": 0.52009} -{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.46617, "decode.acc_seg": 66.14524, "aux.loss_seg": 0.22009, "aux.acc_seg": 64.38906, "loss": 0.68626, "time": 0.51297} -{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.47069, "decode.acc_seg": 65.59533, "aux.loss_seg": 0.22561, "aux.acc_seg": 63.66227, "loss": 0.6963, "time": 0.51644} -{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.47132, "decode.acc_seg": 66.74178, "aux.loss_seg": 0.22244, "aux.acc_seg": 64.87271, "loss": 0.69377, "time": 0.52666} -{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.49925, "decode.acc_seg": 67.2423, "aux.loss_seg": 0.22974, "aux.acc_seg": 65.63725, "loss": 0.72899, "time": 0.54987} -{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.45895, "decode.acc_seg": 66.14154, "aux.loss_seg": 0.21575, "aux.acc_seg": 64.56745, "loss": 0.67469, "time": 0.51521} -{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.47539, "decode.acc_seg": 68.41308, "aux.loss_seg": 0.2257, "aux.acc_seg": 66.27077, "loss": 0.70109, "time": 0.51146} -{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.44456, "decode.acc_seg": 67.25081, "aux.loss_seg": 0.21392, "aux.acc_seg": 65.2431, "loss": 0.65848, "time": 0.53107} -{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.45837, "decode.acc_seg": 65.43287, "aux.loss_seg": 0.22277, "aux.acc_seg": 63.52518, "loss": 0.68114, "time": 0.51519} -{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.4156, "decode.acc_seg": 66.7711, "aux.loss_seg": 0.19945, "aux.acc_seg": 64.95282, "loss": 0.61506, "time": 0.51796} -{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.45453, "decode.acc_seg": 67.21118, "aux.loss_seg": 0.2138, "aux.acc_seg": 65.53004, "loss": 0.66834, "time": 0.51419} -{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.45528, "decode.acc_seg": 67.44855, "aux.loss_seg": 0.21124, "aux.acc_seg": 66.0172, "loss": 0.66652, "time": 0.5207} -{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.47118, "decode.acc_seg": 67.19406, "aux.loss_seg": 0.22714, "aux.acc_seg": 65.24861, "loss": 0.69832, "time": 0.52334} -{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.45989, "decode.acc_seg": 67.18668, "aux.loss_seg": 0.22014, "aux.acc_seg": 65.10544, "loss": 0.68003, "time": 0.51774} -{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.45172, "decode.acc_seg": 66.7581, "aux.loss_seg": 0.21264, "aux.acc_seg": 65.14117, "loss": 0.66436, "time": 0.51463} -{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 22404, "data_time": 0.24927, "decode.loss_seg": 0.43911, "decode.acc_seg": 65.45011, "aux.loss_seg": 0.21295, "aux.acc_seg": 63.29669, "loss": 0.65206, "time": 0.76283} -{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.43124, "decode.acc_seg": 66.51848, "aux.loss_seg": 0.2058, "aux.acc_seg": 64.75109, "loss": 0.63705, "time": 0.51519} -{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.45204, "decode.acc_seg": 67.44105, "aux.loss_seg": 0.21915, "aux.acc_seg": 65.55376, "loss": 0.67119, "time": 0.5163} -{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.44737, "decode.acc_seg": 67.38604, "aux.loss_seg": 0.21394, "aux.acc_seg": 65.27767, "loss": 0.66132, "time": 0.51157} -{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.42993, "decode.acc_seg": 67.0606, "aux.loss_seg": 0.20344, "aux.acc_seg": 65.29772, "loss": 0.63337, "time": 0.5405} -{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.43132, "decode.acc_seg": 67.71626, "aux.loss_seg": 0.20852, "aux.acc_seg": 65.85624, "loss": 0.63984, "time": 0.51199} -{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.47997, "decode.acc_seg": 67.15861, "aux.loss_seg": 0.2287, "aux.acc_seg": 65.28327, "loss": 0.70867, "time": 0.5139} -{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.46015, "decode.acc_seg": 66.20358, "aux.loss_seg": 0.21677, "aux.acc_seg": 64.43886, "loss": 0.67692, "time": 0.51362} -{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.43251, "decode.acc_seg": 67.97774, "aux.loss_seg": 0.21092, "aux.acc_seg": 65.71817, "loss": 0.64344, "time": 0.51124} -{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.41552, "decode.acc_seg": 66.93557, "aux.loss_seg": 0.20252, "aux.acc_seg": 64.96393, "loss": 0.61804, "time": 0.51024} -{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.44998, "decode.acc_seg": 67.36128, "aux.loss_seg": 0.21624, "aux.acc_seg": 65.44742, "loss": 0.66622, "time": 0.51277} -{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.42965, "decode.acc_seg": 65.94802, "aux.loss_seg": 0.20663, "aux.acc_seg": 64.01018, "loss": 0.63628, "time": 0.53577} -{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.45343, "decode.acc_seg": 66.81615, "aux.loss_seg": 0.21705, "aux.acc_seg": 64.73985, "loss": 0.67048, "time": 0.52542} -{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.44937, "decode.acc_seg": 68.15655, "aux.loss_seg": 0.21411, "aux.acc_seg": 66.46265, "loss": 0.66347, "time": 0.53685} -{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.44163, "decode.acc_seg": 65.66863, "aux.loss_seg": 0.21017, "aux.acc_seg": 63.81653, "loss": 0.6518, "time": 0.51343} -{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.455, "decode.acc_seg": 68.21911, "aux.loss_seg": 0.21267, "aux.acc_seg": 66.51905, "loss": 0.66768, "time": 0.5076} -{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.43359, "decode.acc_seg": 67.00186, "aux.loss_seg": 0.20803, "aux.acc_seg": 65.08672, "loss": 0.64162, "time": 0.53559} -{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.45788, "decode.acc_seg": 66.71058, "aux.loss_seg": 0.22274, "aux.acc_seg": 64.6006, "loss": 0.68061, "time": 0.54713} -{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.442, "decode.acc_seg": 66.36296, "aux.loss_seg": 0.21127, "aux.acc_seg": 64.72165, "loss": 0.65327, "time": 0.5297} -{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.44468, "decode.acc_seg": 67.97587, "aux.loss_seg": 0.21146, "aux.acc_seg": 66.1936, "loss": 0.65614, "time": 0.511} -{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.44867, "decode.acc_seg": 66.87987, "aux.loss_seg": 0.21267, "aux.acc_seg": 65.1966, "loss": 0.66134, "time": 0.52484} -{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.43467, "decode.acc_seg": 66.2214, "aux.loss_seg": 0.20346, "aux.acc_seg": 64.83395, "loss": 0.63813, "time": 0.53952} -{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.45378, "decode.acc_seg": 67.39756, "aux.loss_seg": 0.21335, "aux.acc_seg": 65.58601, "loss": 0.66713, "time": 0.5163} -{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.44765, "decode.acc_seg": 67.23586, "aux.loss_seg": 0.21079, "aux.acc_seg": 65.66748, "loss": 0.65844, "time": 0.51033} -{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.44708, "decode.acc_seg": 68.3043, "aux.loss_seg": 0.20832, "aux.acc_seg": 66.80036, "loss": 0.6554, "time": 0.51736} -{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 22404, "data_time": 0.2549, "decode.loss_seg": 0.43264, "decode.acc_seg": 66.59658, "aux.loss_seg": 0.21402, "aux.acc_seg": 64.36499, "loss": 0.64666, "time": 0.76218} -{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.42944, "decode.acc_seg": 68.07821, "aux.loss_seg": 0.20642, "aux.acc_seg": 66.04555, "loss": 0.63586, "time": 0.51859} -{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.41878, "decode.acc_seg": 67.12043, "aux.loss_seg": 0.20349, "aux.acc_seg": 65.05565, "loss": 0.62226, "time": 0.51673} -{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.44662, "decode.acc_seg": 68.07379, "aux.loss_seg": 0.21266, "aux.acc_seg": 66.05866, "loss": 0.65927, "time": 0.53939} -{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.39716, "decode.acc_seg": 67.72674, "aux.loss_seg": 0.19401, "aux.acc_seg": 65.86069, "loss": 0.59117, "time": 0.51446} -{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.43986, "decode.acc_seg": 66.98517, "aux.loss_seg": 0.21155, "aux.acc_seg": 64.90417, "loss": 0.65142, "time": 0.51529} -{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.4422, "decode.acc_seg": 68.28983, "aux.loss_seg": 0.21218, "aux.acc_seg": 66.40898, "loss": 0.65437, "time": 0.51385} -{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.44793, "decode.acc_seg": 67.39599, "aux.loss_seg": 0.21692, "aux.acc_seg": 65.03899, "loss": 0.66486, "time": 0.51708} -{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.43668, "decode.acc_seg": 68.15311, "aux.loss_seg": 0.21229, "aux.acc_seg": 65.91542, "loss": 0.64898, "time": 0.50991} -{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.41956, "decode.acc_seg": 68.39701, "aux.loss_seg": 0.20106, "aux.acc_seg": 66.48199, "loss": 0.62062, "time": 0.50895} -{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.43653, "decode.acc_seg": 68.17647, "aux.loss_seg": 0.21254, "aux.acc_seg": 65.84917, "loss": 0.64907, "time": 0.51116} -{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.43569, "decode.acc_seg": 67.40987, "aux.loss_seg": 0.21198, "aux.acc_seg": 65.36619, "loss": 0.64767, "time": 0.5135} -{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.43981, "decode.acc_seg": 67.31147, "aux.loss_seg": 0.20791, "aux.acc_seg": 65.54754, "loss": 0.64772, "time": 0.5327} -{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.44755, "decode.acc_seg": 68.0715, "aux.loss_seg": 0.21358, "aux.acc_seg": 66.43576, "loss": 0.66113, "time": 0.53741} -{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.42622, "decode.acc_seg": 67.14038, "aux.loss_seg": 0.20512, "aux.acc_seg": 65.67506, "loss": 0.63135, "time": 0.51652} -{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.44248, "decode.acc_seg": 67.33027, "aux.loss_seg": 0.21111, "aux.acc_seg": 65.84278, "loss": 0.65359, "time": 0.52907} -{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.42085, "decode.acc_seg": 67.67633, "aux.loss_seg": 0.20203, "aux.acc_seg": 65.9345, "loss": 0.62289, "time": 0.51578} -{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.43149, "decode.acc_seg": 69.2348, "aux.loss_seg": 0.21074, "aux.acc_seg": 66.84388, "loss": 0.64223, "time": 0.52072} -{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.4554, "decode.acc_seg": 65.95618, "aux.loss_seg": 0.21674, "aux.acc_seg": 64.23116, "loss": 0.67213, "time": 0.53336} -{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.4898, "decode.acc_seg": 66.16965, "aux.loss_seg": 0.23025, "aux.acc_seg": 64.36541, "loss": 0.72005, "time": 0.53816} -{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.44795, "decode.acc_seg": 66.94903, "aux.loss_seg": 0.21336, "aux.acc_seg": 65.09425, "loss": 0.6613, "time": 0.51185} -{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.44419, "decode.acc_seg": 65.40494, "aux.loss_seg": 0.2069, "aux.acc_seg": 63.7112, "loss": 0.65108, "time": 0.509} -{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.44354, "decode.acc_seg": 66.79616, "aux.loss_seg": 0.21264, "aux.acc_seg": 64.75003, "loss": 0.65618, "time": 0.50944} -{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.43649, "decode.acc_seg": 67.61905, "aux.loss_seg": 0.20358, "aux.acc_seg": 66.04685, "loss": 0.64006, "time": 0.51328} -{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.45136, "decode.acc_seg": 66.88212, "aux.loss_seg": 0.21121, "aux.acc_seg": 65.16699, "loss": 0.66257, "time": 0.50833} -{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 22404, "data_time": 0.24675, "decode.loss_seg": 0.44761, "decode.acc_seg": 66.59302, "aux.loss_seg": 0.21245, "aux.acc_seg": 64.74956, "loss": 0.66006, "time": 0.75614} -{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.42764, "decode.acc_seg": 68.43158, "aux.loss_seg": 0.202, "aux.acc_seg": 66.53152, "loss": 0.62964, "time": 0.5293} -{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.42425, "decode.acc_seg": 67.57006, "aux.loss_seg": 0.20589, "aux.acc_seg": 65.55237, "loss": 0.63014, "time": 0.51668} -{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.42959, "decode.acc_seg": 67.67307, "aux.loss_seg": 0.20586, "aux.acc_seg": 65.72021, "loss": 0.63546, "time": 0.51732} -{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.41441, "decode.acc_seg": 68.58608, "aux.loss_seg": 0.20157, "aux.acc_seg": 66.72212, "loss": 0.61598, "time": 0.51285} -{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.40928, "decode.acc_seg": 67.37281, "aux.loss_seg": 0.19683, "aux.acc_seg": 65.4877, "loss": 0.60611, "time": 0.51234} -{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.44165, "decode.acc_seg": 67.24301, "aux.loss_seg": 0.21425, "aux.acc_seg": 65.33387, "loss": 0.6559, "time": 0.54373} -{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.40252, "decode.acc_seg": 66.96422, "aux.loss_seg": 0.1953, "aux.acc_seg": 65.05694, "loss": 0.59781, "time": 0.51284} -{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.4294, "decode.acc_seg": 66.84143, "aux.loss_seg": 0.20645, "aux.acc_seg": 64.78445, "loss": 0.63586, "time": 0.53818} -{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.43007, "decode.acc_seg": 67.71575, "aux.loss_seg": 0.20833, "aux.acc_seg": 65.49713, "loss": 0.63841, "time": 0.52663} -{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.42588, "decode.acc_seg": 67.65153, "aux.loss_seg": 0.2062, "aux.acc_seg": 65.4217, "loss": 0.63208, "time": 0.51532} -{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.44872, "decode.acc_seg": 66.92021, "aux.loss_seg": 0.21074, "aux.acc_seg": 65.44809, "loss": 0.65945, "time": 0.51579} -{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.42173, "decode.acc_seg": 67.49237, "aux.loss_seg": 0.20504, "aux.acc_seg": 65.63095, "loss": 0.62677, "time": 0.50835} -{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.40972, "decode.acc_seg": 67.66266, "aux.loss_seg": 0.19692, "aux.acc_seg": 65.96303, "loss": 0.60664, "time": 0.52145} -{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.42553, "decode.acc_seg": 68.3127, "aux.loss_seg": 0.20359, "aux.acc_seg": 66.28204, "loss": 0.62913, "time": 0.52936} -{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.43285, "decode.acc_seg": 68.00221, "aux.loss_seg": 0.21006, "aux.acc_seg": 66.08885, "loss": 0.64291, "time": 0.51899} -{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.43535, "decode.acc_seg": 68.04461, "aux.loss_seg": 0.21107, "aux.acc_seg": 65.74595, "loss": 0.64642, "time": 0.54329} -{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.42064, "decode.acc_seg": 67.82632, "aux.loss_seg": 0.19699, "aux.acc_seg": 66.08231, "loss": 0.61763, "time": 0.54566} -{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.45996, "decode.acc_seg": 67.63839, "aux.loss_seg": 0.21874, "aux.acc_seg": 65.61626, "loss": 0.6787, "time": 0.52681} -{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.41451, "decode.acc_seg": 68.78702, "aux.loss_seg": 0.19857, "aux.acc_seg": 66.9139, "loss": 0.61308, "time": 0.54537} -{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.41418, "decode.acc_seg": 69.00886, "aux.loss_seg": 0.20255, "aux.acc_seg": 66.81098, "loss": 0.61673, "time": 0.52713} -{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.41852, "decode.acc_seg": 67.07956, "aux.loss_seg": 0.2, "aux.acc_seg": 65.09166, "loss": 0.61852, "time": 0.54307} -{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.42869, "decode.acc_seg": 67.23115, "aux.loss_seg": 0.2043, "aux.acc_seg": 65.1414, "loss": 0.63299, "time": 0.51556} -{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.42448, "decode.acc_seg": 67.55418, "aux.loss_seg": 0.2055, "aux.acc_seg": 65.71533, "loss": 0.62998, "time": 0.50887} -{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.45202, "decode.acc_seg": 67.17626, "aux.loss_seg": 0.21267, "aux.acc_seg": 65.16773, "loss": 0.66469, "time": 0.51208} -{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 22404, "data_time": 0.24499, "decode.loss_seg": 0.46271, "decode.acc_seg": 66.94092, "aux.loss_seg": 0.21888, "aux.acc_seg": 64.93166, "loss": 0.68159, "time": 0.74683} -{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.40021, "decode.acc_seg": 69.19536, "aux.loss_seg": 0.196, "aux.acc_seg": 67.26052, "loss": 0.59621, "time": 0.5289} -{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.40244, "decode.acc_seg": 67.54581, "aux.loss_seg": 0.19687, "aux.acc_seg": 65.52835, "loss": 0.59931, "time": 0.54564} -{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.4226, "decode.acc_seg": 68.61194, "aux.loss_seg": 0.20676, "aux.acc_seg": 66.42295, "loss": 0.62936, "time": 0.53533} -{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 22404, "data_time": 0.00841, "decode.loss_seg": 0.41954, "decode.acc_seg": 70.57597, "aux.loss_seg": 0.2036, "aux.acc_seg": 68.53496, "loss": 0.62314, "time": 0.51849} -{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.40292, "decode.acc_seg": 67.7976, "aux.loss_seg": 0.19285, "aux.acc_seg": 66.09284, "loss": 0.59576, "time": 0.51367} -{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 22404, "data_time": 0.00798, "decode.loss_seg": 0.45202, "decode.acc_seg": 65.97997, "aux.loss_seg": 0.2161, "aux.acc_seg": 64.23467, "loss": 0.66812, "time": 0.53771} -{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.42036, "decode.acc_seg": 68.22265, "aux.loss_seg": 0.20031, "aux.acc_seg": 66.37945, "loss": 0.62067, "time": 0.51305} -{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.43326, "decode.acc_seg": 68.23076, "aux.loss_seg": 0.20568, "aux.acc_seg": 66.34053, "loss": 0.63893, "time": 0.51534} -{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.4186, "decode.acc_seg": 68.3106, "aux.loss_seg": 0.20594, "aux.acc_seg": 66.44088, "loss": 0.62454, "time": 0.53997} -{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.41983, "decode.acc_seg": 67.98872, "aux.loss_seg": 0.20306, "aux.acc_seg": 66.24075, "loss": 0.6229, "time": 0.54733} -{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.40862, "decode.acc_seg": 68.03059, "aux.loss_seg": 0.19726, "aux.acc_seg": 66.2095, "loss": 0.60588, "time": 0.52581} -{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.42364, "decode.acc_seg": 66.7749, "aux.loss_seg": 0.20472, "aux.acc_seg": 64.99066, "loss": 0.62836, "time": 0.52218} -{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.43469, "decode.acc_seg": 67.26526, "aux.loss_seg": 0.21087, "aux.acc_seg": 65.27307, "loss": 0.64556, "time": 0.51691} -{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.40773, "decode.acc_seg": 68.50382, "aux.loss_seg": 0.19333, "aux.acc_seg": 66.73271, "loss": 0.60106, "time": 0.51009} -{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.43743, "decode.acc_seg": 67.09236, "aux.loss_seg": 0.20449, "aux.acc_seg": 65.33403, "loss": 0.64192, "time": 0.50689} -{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.39961, "decode.acc_seg": 67.48206, "aux.loss_seg": 0.19336, "aux.acc_seg": 65.72795, "loss": 0.59297, "time": 0.52753} -{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.41973, "decode.acc_seg": 67.36563, "aux.loss_seg": 0.20705, "aux.acc_seg": 65.08241, "loss": 0.62677, "time": 0.5088} -{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.40772, "decode.acc_seg": 67.16711, "aux.loss_seg": 0.19735, "aux.acc_seg": 65.16594, "loss": 0.60507, "time": 0.52509} -{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.4024, "decode.acc_seg": 68.25992, "aux.loss_seg": 0.19328, "aux.acc_seg": 66.54697, "loss": 0.59568, "time": 0.51131} -{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.40325, "decode.acc_seg": 68.09969, "aux.loss_seg": 0.19495, "aux.acc_seg": 66.26142, "loss": 0.5982, "time": 0.51395} -{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.43454, "decode.acc_seg": 67.42868, "aux.loss_seg": 0.20792, "aux.acc_seg": 65.54992, "loss": 0.64247, "time": 0.54655} -{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.44465, "decode.acc_seg": 65.74767, "aux.loss_seg": 0.21412, "aux.acc_seg": 63.85129, "loss": 0.65877, "time": 0.52258} -{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.41293, "decode.acc_seg": 67.15523, "aux.loss_seg": 0.19942, "aux.acc_seg": 65.2646, "loss": 0.61235, "time": 0.52278} -{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.42757, "decode.acc_seg": 67.03799, "aux.loss_seg": 0.20651, "aux.acc_seg": 65.09012, "loss": 0.63408, "time": 0.52057} -{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.42634, "decode.acc_seg": 67.53899, "aux.loss_seg": 0.20458, "aux.acc_seg": 65.76154, "loss": 0.63092, "time": 0.50648} -{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 22404, "data_time": 0.245, "decode.loss_seg": 0.37137, "decode.acc_seg": 69.05424, "aux.loss_seg": 0.18113, "aux.acc_seg": 67.30435, "loss": 0.5525, "time": 0.74518} -{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.37748, "decode.acc_seg": 69.47798, "aux.loss_seg": 0.18609, "aux.acc_seg": 67.52457, "loss": 0.56357, "time": 0.52372} -{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.40958, "decode.acc_seg": 68.50843, "aux.loss_seg": 0.19899, "aux.acc_seg": 66.52145, "loss": 0.60856, "time": 0.51148} -{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.41681, "decode.acc_seg": 68.01981, "aux.loss_seg": 0.20357, "aux.acc_seg": 65.86063, "loss": 0.62038, "time": 0.53554} -{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.39237, "decode.acc_seg": 68.43596, "aux.loss_seg": 0.19402, "aux.acc_seg": 66.41391, "loss": 0.5864, "time": 0.52618} -{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.39582, "decode.acc_seg": 68.04026, "aux.loss_seg": 0.19505, "aux.acc_seg": 65.8699, "loss": 0.59087, "time": 0.53808} -{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.42985, "decode.acc_seg": 69.72084, "aux.loss_seg": 0.20369, "aux.acc_seg": 68.0082, "loss": 0.63355, "time": 0.54616} -{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.41992, "decode.acc_seg": 68.40327, "aux.loss_seg": 0.2035, "aux.acc_seg": 66.47953, "loss": 0.62343, "time": 0.51181} -{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.40787, "decode.acc_seg": 68.38613, "aux.loss_seg": 0.19713, "aux.acc_seg": 66.46556, "loss": 0.605, "time": 0.51555} -{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.40407, "decode.acc_seg": 67.65674, "aux.loss_seg": 0.19838, "aux.acc_seg": 65.62721, "loss": 0.60245, "time": 0.51616} -{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.4041, "decode.acc_seg": 67.68284, "aux.loss_seg": 0.20041, "aux.acc_seg": 65.5317, "loss": 0.60451, "time": 0.53332} -{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.38407, "decode.acc_seg": 67.69658, "aux.loss_seg": 0.18663, "aux.acc_seg": 65.89662, "loss": 0.5707, "time": 0.54551} -{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.40536, "decode.acc_seg": 67.87382, "aux.loss_seg": 0.196, "aux.acc_seg": 65.95777, "loss": 0.60136, "time": 0.52047} -{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.43262, "decode.acc_seg": 66.75007, "aux.loss_seg": 0.20613, "aux.acc_seg": 64.95896, "loss": 0.63875, "time": 0.51359} -{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.41054, "decode.acc_seg": 67.35879, "aux.loss_seg": 0.19879, "aux.acc_seg": 65.68847, "loss": 0.60933, "time": 0.55028} -{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.40129, "decode.acc_seg": 68.41911, "aux.loss_seg": 0.19123, "aux.acc_seg": 66.50004, "loss": 0.59252, "time": 0.53452} -{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.42891, "decode.acc_seg": 68.37467, "aux.loss_seg": 0.20762, "aux.acc_seg": 66.35804, "loss": 0.63653, "time": 0.52188} -{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.41153, "decode.acc_seg": 67.28105, "aux.loss_seg": 0.20335, "aux.acc_seg": 64.88908, "loss": 0.61488, "time": 0.50795} -{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.41923, "decode.acc_seg": 67.46483, "aux.loss_seg": 0.20395, "aux.acc_seg": 65.43229, "loss": 0.62318, "time": 0.50914} -{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.42236, "decode.acc_seg": 67.84808, "aux.loss_seg": 0.20313, "aux.acc_seg": 65.93107, "loss": 0.62549, "time": 0.51997} -{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.39272, "decode.acc_seg": 68.85699, "aux.loss_seg": 0.19235, "aux.acc_seg": 66.80978, "loss": 0.58507, "time": 0.51948} -{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.41066, "decode.acc_seg": 69.52217, "aux.loss_seg": 0.1981, "aux.acc_seg": 67.47753, "loss": 0.60876, "time": 0.51499} -{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.41631, "decode.acc_seg": 68.28021, "aux.loss_seg": 0.19807, "aux.acc_seg": 66.61706, "loss": 0.61437, "time": 0.53421} -{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.41614, "decode.acc_seg": 67.02869, "aux.loss_seg": 0.1994, "aux.acc_seg": 64.78759, "loss": 0.61554, "time": 0.52163} -{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.42051, "decode.acc_seg": 68.09582, "aux.loss_seg": 0.20361, "aux.acc_seg": 65.99294, "loss": 0.62412, "time": 0.5103} -{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 22404, "data_time": 0.2467, "decode.loss_seg": 0.39399, "decode.acc_seg": 69.59176, "aux.loss_seg": 0.19691, "aux.acc_seg": 67.47685, "loss": 0.5909, "time": 0.75866} -{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.3938, "decode.acc_seg": 68.3377, "aux.loss_seg": 0.19247, "aux.acc_seg": 66.3304, "loss": 0.58627, "time": 0.52042} -{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.39802, "decode.acc_seg": 69.42868, "aux.loss_seg": 0.19327, "aux.acc_seg": 67.61406, "loss": 0.59129, "time": 0.51121} -{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.40284, "decode.acc_seg": 68.33515, "aux.loss_seg": 0.19817, "aux.acc_seg": 66.29081, "loss": 0.60101, "time": 0.52878} -{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.37125, "decode.acc_seg": 68.41268, "aux.loss_seg": 0.1819, "aux.acc_seg": 66.67358, "loss": 0.55315, "time": 0.51022} -{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.40294, "decode.acc_seg": 68.43, "aux.loss_seg": 0.19877, "aux.acc_seg": 66.09739, "loss": 0.60171, "time": 0.53535} -{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.39509, "decode.acc_seg": 68.82054, "aux.loss_seg": 0.19239, "aux.acc_seg": 66.84172, "loss": 0.58747, "time": 0.53467} -{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.37321, "decode.acc_seg": 68.7116, "aux.loss_seg": 0.186, "aux.acc_seg": 66.63014, "loss": 0.55921, "time": 0.53243} -{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 22404, "data_time": 0.00812, "decode.loss_seg": 0.37699, "decode.acc_seg": 66.70142, "aux.loss_seg": 0.18462, "aux.acc_seg": 65.01254, "loss": 0.56161, "time": 0.52677} -{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.36747, "decode.acc_seg": 67.03303, "aux.loss_seg": 0.17958, "aux.acc_seg": 65.28726, "loss": 0.54704, "time": 0.52055} -{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.39603, "decode.acc_seg": 69.25634, "aux.loss_seg": 0.19287, "aux.acc_seg": 67.26631, "loss": 0.5889, "time": 0.50821} -{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.42961, "decode.acc_seg": 67.95671, "aux.loss_seg": 0.20466, "aux.acc_seg": 66.32878, "loss": 0.63427, "time": 0.51888} -{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.39473, "decode.acc_seg": 68.1012, "aux.loss_seg": 0.19247, "aux.acc_seg": 66.14386, "loss": 0.58721, "time": 0.52081} -{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.38312, "decode.acc_seg": 68.45685, "aux.loss_seg": 0.18219, "aux.acc_seg": 66.79811, "loss": 0.56531, "time": 0.51408} -{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.41348, "decode.acc_seg": 66.53693, "aux.loss_seg": 0.19967, "aux.acc_seg": 64.72292, "loss": 0.61314, "time": 0.53438} -{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.40342, "decode.acc_seg": 68.84809, "aux.loss_seg": 0.19531, "aux.acc_seg": 67.01076, "loss": 0.59873, "time": 0.51924} -{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.38842, "decode.acc_seg": 67.1571, "aux.loss_seg": 0.1871, "aux.acc_seg": 65.51734, "loss": 0.57552, "time": 0.51875} -{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.41958, "decode.acc_seg": 67.45485, "aux.loss_seg": 0.20071, "aux.acc_seg": 65.6018, "loss": 0.62029, "time": 0.53186} -{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.39076, "decode.acc_seg": 68.92594, "aux.loss_seg": 0.19014, "aux.acc_seg": 66.95209, "loss": 0.5809, "time": 0.50742} -{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.39368, "decode.acc_seg": 69.76968, "aux.loss_seg": 0.19321, "aux.acc_seg": 67.95317, "loss": 0.58689, "time": 0.5139} -{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.38423, "decode.acc_seg": 67.031, "aux.loss_seg": 0.18811, "aux.acc_seg": 65.24508, "loss": 0.57234, "time": 0.51172} -{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.40067, "decode.acc_seg": 68.40968, "aux.loss_seg": 0.19282, "aux.acc_seg": 66.64962, "loss": 0.59348, "time": 0.53381} -{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.39744, "decode.acc_seg": 68.84177, "aux.loss_seg": 0.19326, "aux.acc_seg": 66.90682, "loss": 0.59071, "time": 0.51374} -{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.42548, "decode.acc_seg": 67.91846, "aux.loss_seg": 0.20738, "aux.acc_seg": 65.9774, "loss": 0.63287, "time": 0.53865} -{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.42282, "decode.acc_seg": 67.8557, "aux.loss_seg": 0.20131, "aux.acc_seg": 66.06333, "loss": 0.62413, "time": 0.51557} -{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 22404, "data_time": 0.24362, "decode.loss_seg": 0.40342, "decode.acc_seg": 67.63298, "aux.loss_seg": 0.19657, "aux.acc_seg": 65.40299, "loss": 0.59999, "time": 0.75787} -{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.39529, "decode.acc_seg": 69.8285, "aux.loss_seg": 0.19494, "aux.acc_seg": 67.83007, "loss": 0.59023, "time": 0.50888} -{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.39736, "decode.acc_seg": 67.17254, "aux.loss_seg": 0.19377, "aux.acc_seg": 65.16189, "loss": 0.59113, "time": 0.51034} -{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.3654, "decode.acc_seg": 70.18461, "aux.loss_seg": 0.18247, "aux.acc_seg": 68.06583, "loss": 0.54787, "time": 0.51183} -{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.38416, "decode.acc_seg": 68.0704, "aux.loss_seg": 0.19153, "aux.acc_seg": 65.98897, "loss": 0.57568, "time": 0.53844} -{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.40192, "decode.acc_seg": 67.57066, "aux.loss_seg": 0.19832, "aux.acc_seg": 65.50377, "loss": 0.60024, "time": 0.54441} -{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.3995, "decode.acc_seg": 68.64102, "aux.loss_seg": 0.19252, "aux.acc_seg": 66.96082, "loss": 0.59202, "time": 0.51875} -{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.38625, "decode.acc_seg": 70.0933, "aux.loss_seg": 0.18831, "aux.acc_seg": 68.10023, "loss": 0.57456, "time": 0.53452} -{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.40352, "decode.acc_seg": 70.34587, "aux.loss_seg": 0.19602, "aux.acc_seg": 68.26427, "loss": 0.59954, "time": 0.51136} -{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.42637, "decode.acc_seg": 69.26636, "aux.loss_seg": 0.2071, "aux.acc_seg": 67.29188, "loss": 0.63347, "time": 0.52399} -{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.3752, "decode.acc_seg": 68.017, "aux.loss_seg": 0.18004, "aux.acc_seg": 66.20431, "loss": 0.55524, "time": 0.54477} -{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.39176, "decode.acc_seg": 69.75274, "aux.loss_seg": 0.19052, "aux.acc_seg": 67.64666, "loss": 0.58228, "time": 0.53809} -{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.39279, "decode.acc_seg": 68.59773, "aux.loss_seg": 0.18907, "aux.acc_seg": 66.94498, "loss": 0.58186, "time": 0.53045} -{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.38964, "decode.acc_seg": 67.72004, "aux.loss_seg": 0.19162, "aux.acc_seg": 65.64731, "loss": 0.58127, "time": 0.52386} -{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.40573, "decode.acc_seg": 69.52605, "aux.loss_seg": 0.19336, "aux.acc_seg": 67.54527, "loss": 0.59909, "time": 0.53701} -{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.38357, "decode.acc_seg": 68.0126, "aux.loss_seg": 0.1832, "aux.acc_seg": 66.26312, "loss": 0.56677, "time": 0.51593} -{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.39655, "decode.acc_seg": 69.27788, "aux.loss_seg": 0.19249, "aux.acc_seg": 67.33464, "loss": 0.58904, "time": 0.51343} -{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.39209, "decode.acc_seg": 67.17346, "aux.loss_seg": 0.18709, "aux.acc_seg": 65.49995, "loss": 0.57918, "time": 0.51759} -{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.38383, "decode.acc_seg": 68.55708, "aux.loss_seg": 0.18667, "aux.acc_seg": 66.65169, "loss": 0.5705, "time": 0.53624} -{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.40472, "decode.acc_seg": 67.71598, "aux.loss_seg": 0.19743, "aux.acc_seg": 65.70977, "loss": 0.60215, "time": 0.53627} -{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.40128, "decode.acc_seg": 67.69591, "aux.loss_seg": 0.19235, "aux.acc_seg": 65.66088, "loss": 0.59363, "time": 0.51926} -{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.38394, "decode.acc_seg": 68.11354, "aux.loss_seg": 0.18706, "aux.acc_seg": 66.15221, "loss": 0.571, "time": 0.51653} -{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.39929, "decode.acc_seg": 68.21667, "aux.loss_seg": 0.19458, "aux.acc_seg": 66.25178, "loss": 0.59387, "time": 0.52068} -{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.3954, "decode.acc_seg": 68.75202, "aux.loss_seg": 0.19335, "aux.acc_seg": 66.65253, "loss": 0.58875, "time": 0.52442} -{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.40945, "decode.acc_seg": 67.72515, "aux.loss_seg": 0.20158, "aux.acc_seg": 65.41451, "loss": 0.61102, "time": 0.51341} -{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 22404, "data_time": 0.24677, "decode.loss_seg": 0.406, "decode.acc_seg": 69.1752, "aux.loss_seg": 0.19675, "aux.acc_seg": 67.13525, "loss": 0.60275, "time": 0.75527} -{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.37891, "decode.acc_seg": 68.86759, "aux.loss_seg": 0.1827, "aux.acc_seg": 67.26345, "loss": 0.56161, "time": 0.53455} -{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 22404, "data_time": 0.00846, "decode.loss_seg": 0.35657, "decode.acc_seg": 70.58952, "aux.loss_seg": 0.17258, "aux.acc_seg": 68.89046, "loss": 0.52915, "time": 0.53509} -{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.38881, "decode.acc_seg": 67.72839, "aux.loss_seg": 0.18769, "aux.acc_seg": 65.77857, "loss": 0.5765, "time": 0.51999} -{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.37551, "decode.acc_seg": 68.49172, "aux.loss_seg": 0.18536, "aux.acc_seg": 66.55264, "loss": 0.56088, "time": 0.53498} -{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.37681, "decode.acc_seg": 68.43429, "aux.loss_seg": 0.18475, "aux.acc_seg": 66.30728, "loss": 0.56155, "time": 0.52562} -{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.38448, "decode.acc_seg": 70.04641, "aux.loss_seg": 0.18772, "aux.acc_seg": 67.91371, "loss": 0.5722, "time": 0.50831} -{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.36281, "decode.acc_seg": 70.76057, "aux.loss_seg": 0.17984, "aux.acc_seg": 68.73928, "loss": 0.54265, "time": 0.5172} -{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.39222, "decode.acc_seg": 68.51388, "aux.loss_seg": 0.19251, "aux.acc_seg": 66.55352, "loss": 0.58473, "time": 0.51153} -{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.40904, "decode.acc_seg": 68.59475, "aux.loss_seg": 0.19922, "aux.acc_seg": 66.43656, "loss": 0.60827, "time": 0.51961} -{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.40849, "decode.acc_seg": 68.62653, "aux.loss_seg": 0.19517, "aux.acc_seg": 66.78625, "loss": 0.60366, "time": 0.51159} -{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.41282, "decode.acc_seg": 67.99714, "aux.loss_seg": 0.2014, "aux.acc_seg": 65.93512, "loss": 0.61423, "time": 0.50902} -{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.40785, "decode.acc_seg": 69.27363, "aux.loss_seg": 0.19727, "aux.acc_seg": 67.20338, "loss": 0.60513, "time": 0.51556} -{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.40564, "decode.acc_seg": 69.40589, "aux.loss_seg": 0.19807, "aux.acc_seg": 67.46087, "loss": 0.60372, "time": 0.51724} -{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.41657, "decode.acc_seg": 70.53424, "aux.loss_seg": 0.19996, "aux.acc_seg": 68.65808, "loss": 0.61653, "time": 0.51057} -{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.37637, "decode.acc_seg": 68.53273, "aux.loss_seg": 0.18414, "aux.acc_seg": 66.50398, "loss": 0.56051, "time": 0.51428} -{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.36576, "decode.acc_seg": 68.55858, "aux.loss_seg": 0.17817, "aux.acc_seg": 66.65868, "loss": 0.54393, "time": 0.53714} -{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.39643, "decode.acc_seg": 68.53207, "aux.loss_seg": 0.19245, "aux.acc_seg": 66.46341, "loss": 0.58887, "time": 0.51178} -{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.38017, "decode.acc_seg": 67.09716, "aux.loss_seg": 0.18231, "aux.acc_seg": 65.26774, "loss": 0.56249, "time": 0.51024} -{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.40909, "decode.acc_seg": 68.3461, "aux.loss_seg": 0.19599, "aux.acc_seg": 66.38407, "loss": 0.60508, "time": 0.51091} -{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.38266, "decode.acc_seg": 68.71783, "aux.loss_seg": 0.18849, "aux.acc_seg": 66.77677, "loss": 0.57115, "time": 0.51222} -{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.38866, "decode.acc_seg": 69.49072, "aux.loss_seg": 0.19284, "aux.acc_seg": 67.21525, "loss": 0.5815, "time": 0.51198} -{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.40618, "decode.acc_seg": 69.81461, "aux.loss_seg": 0.1986, "aux.acc_seg": 67.72484, "loss": 0.60479, "time": 0.52119} -{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.39043, "decode.acc_seg": 69.05879, "aux.loss_seg": 0.19037, "aux.acc_seg": 66.89424, "loss": 0.5808, "time": 0.5377} -{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.36013, "decode.acc_seg": 68.40825, "aux.loss_seg": 0.1807, "aux.acc_seg": 66.38156, "loss": 0.54082, "time": 0.51065} -{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.41386, "decode.acc_seg": 68.98687, "aux.loss_seg": 0.19782, "aux.acc_seg": 67.29112, "loss": 0.61168, "time": 0.52079} -{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 22404, "data_time": 0.24423, "decode.loss_seg": 0.37781, "decode.acc_seg": 68.9087, "aux.loss_seg": 0.18404, "aux.acc_seg": 67.03731, "loss": 0.56185, "time": 0.75721} -{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.3884, "decode.acc_seg": 68.7321, "aux.loss_seg": 0.19186, "aux.acc_seg": 66.85956, "loss": 0.58026, "time": 0.5138} -{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.3793, "decode.acc_seg": 70.08069, "aux.loss_seg": 0.19007, "aux.acc_seg": 67.67592, "loss": 0.56937, "time": 0.51921} -{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.36253, "decode.acc_seg": 70.87975, "aux.loss_seg": 0.18004, "aux.acc_seg": 68.93762, "loss": 0.54258, "time": 0.51603} -{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.37577, "decode.acc_seg": 68.45006, "aux.loss_seg": 0.18449, "aux.acc_seg": 66.5804, "loss": 0.56026, "time": 0.51816} -{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.3782, "decode.acc_seg": 68.41956, "aux.loss_seg": 0.18669, "aux.acc_seg": 66.57391, "loss": 0.56489, "time": 0.51784} -{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.36719, "decode.acc_seg": 67.89316, "aux.loss_seg": 0.18116, "aux.acc_seg": 65.85924, "loss": 0.54835, "time": 0.51611} -{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.3859, "decode.acc_seg": 68.50727, "aux.loss_seg": 0.19291, "aux.acc_seg": 66.11411, "loss": 0.57881, "time": 0.51217} -{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.38001, "decode.acc_seg": 68.04274, "aux.loss_seg": 0.18534, "aux.acc_seg": 66.06745, "loss": 0.56535, "time": 0.51088} -{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.37711, "decode.acc_seg": 68.11097, "aux.loss_seg": 0.18461, "aux.acc_seg": 66.08452, "loss": 0.56171, "time": 0.51107} -{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.38654, "decode.acc_seg": 68.48688, "aux.loss_seg": 0.1894, "aux.acc_seg": 66.52109, "loss": 0.57595, "time": 0.51146} -{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.36204, "decode.acc_seg": 70.08169, "aux.loss_seg": 0.17822, "aux.acc_seg": 68.02395, "loss": 0.54026, "time": 0.50888} -{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.387, "decode.acc_seg": 68.99771, "aux.loss_seg": 0.18591, "aux.acc_seg": 67.31892, "loss": 0.57291, "time": 0.51452} -{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.38522, "decode.acc_seg": 67.8845, "aux.loss_seg": 0.18682, "aux.acc_seg": 65.71403, "loss": 0.57204, "time": 0.51399} -{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.37299, "decode.acc_seg": 67.73805, "aux.loss_seg": 0.18272, "aux.acc_seg": 65.85219, "loss": 0.55572, "time": 0.50838} -{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.38648, "decode.acc_seg": 69.7373, "aux.loss_seg": 0.19201, "aux.acc_seg": 67.77466, "loss": 0.57849, "time": 0.52002} -{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.36669, "decode.acc_seg": 70.31057, "aux.loss_seg": 0.17986, "aux.acc_seg": 68.36942, "loss": 0.54655, "time": 0.51369} -{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.37689, "decode.acc_seg": 69.12395, "aux.loss_seg": 0.18525, "aux.acc_seg": 66.9918, "loss": 0.56215, "time": 0.51413} -{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.3803, "decode.acc_seg": 68.11469, "aux.loss_seg": 0.18614, "aux.acc_seg": 66.20943, "loss": 0.56644, "time": 0.50779} -{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.38342, "decode.acc_seg": 68.51655, "aux.loss_seg": 0.18855, "aux.acc_seg": 66.4489, "loss": 0.57197, "time": 0.51563} -{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.38047, "decode.acc_seg": 68.23652, "aux.loss_seg": 0.18157, "aux.acc_seg": 66.57062, "loss": 0.56204, "time": 0.51674} -{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.38073, "decode.acc_seg": 69.99735, "aux.loss_seg": 0.18507, "aux.acc_seg": 68.01226, "loss": 0.5658, "time": 0.52039} -{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.38714, "decode.acc_seg": 68.535, "aux.loss_seg": 0.19118, "aux.acc_seg": 66.64253, "loss": 0.57833, "time": 0.50828} -{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.3691, "decode.acc_seg": 67.79187, "aux.loss_seg": 0.1824, "aux.acc_seg": 65.62338, "loss": 0.55149, "time": 0.53567} -{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.36887, "decode.acc_seg": 70.2855, "aux.loss_seg": 0.17981, "aux.acc_seg": 68.64041, "loss": 0.54868, "time": 0.54132} -{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 22404, "data_time": 0.24474, "decode.loss_seg": 0.38001, "decode.acc_seg": 67.88677, "aux.loss_seg": 0.18369, "aux.acc_seg": 66.19587, "loss": 0.5637, "time": 0.75659} -{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.37697, "decode.acc_seg": 68.93572, "aux.loss_seg": 0.1854, "aux.acc_seg": 67.04665, "loss": 0.56237, "time": 0.5471} -{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.38313, "decode.acc_seg": 70.33498, "aux.loss_seg": 0.18789, "aux.acc_seg": 68.23801, "loss": 0.57103, "time": 0.52349} -{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.36804, "decode.acc_seg": 68.26941, "aux.loss_seg": 0.18302, "aux.acc_seg": 66.25271, "loss": 0.55106, "time": 0.52174} -{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.36263, "decode.acc_seg": 70.41471, "aux.loss_seg": 0.18204, "aux.acc_seg": 68.19545, "loss": 0.54467, "time": 0.51281} -{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.37738, "decode.acc_seg": 67.31856, "aux.loss_seg": 0.18232, "aux.acc_seg": 65.44782, "loss": 0.5597, "time": 0.51291} -{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.35533, "decode.acc_seg": 69.98812, "aux.loss_seg": 0.17479, "aux.acc_seg": 68.1283, "loss": 0.53012, "time": 0.51252} -{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.38108, "decode.acc_seg": 68.68182, "aux.loss_seg": 0.18127, "aux.acc_seg": 67.00865, "loss": 0.56235, "time": 0.51869} -{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4313, "mAcc": 0.5594, "aAcc": 0.8025, "IoU.wall": 0.7382, "IoU.building": 0.8103, "IoU.sky": 0.9352, "IoU.floor": 0.7895, "IoU.tree": 0.7072, "IoU.ceiling": 0.8235, "IoU.road": 0.8115, "IoU.bed ": 0.8367, "IoU.windowpane": 0.5731, "IoU.grass": 0.6199, "IoU.cabinet": 0.5719, "IoU.sidewalk": 0.608, "IoU.person": 0.7516, "IoU.earth": 0.2718, "IoU.door": 0.4462, "IoU.table": 0.5208, "IoU.mountain": 0.5684, "IoU.plant": 0.4697, "IoU.curtain": 0.6727, "IoU.chair": 0.4988, "IoU.car": 0.8117, "IoU.water": 0.4814, "IoU.painting": 0.6464, "IoU.sofa": 0.5435, "IoU.shelf": 0.4014, "IoU.house": 0.5155, "IoU.sea": 0.5446, "IoU.mirror": 0.5511, "IoU.rug": 0.5872, "IoU.field": 0.2147, "IoU.armchair": 0.2791, "IoU.seat": 0.5787, "IoU.fence": 0.4376, "IoU.desk": 0.4414, "IoU.rock": 0.3755, "IoU.wardrobe": 0.4604, "IoU.lamp": 0.5341, "IoU.bathtub": 0.6872, "IoU.railing": 0.3206, "IoU.cushion": 0.4625, "IoU.base": 0.2576, "IoU.box": 0.2268, "IoU.column": 0.3838, "IoU.signboard": 0.3287, "IoU.chest of drawers": 0.3686, "IoU.counter": 0.2769, "IoU.sand": 0.3525, "IoU.sink": 0.6389, "IoU.skyscraper": 0.5275, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6301, "IoU.grandstand": 0.4087, "IoU.path": 0.2005, "IoU.stairs": 0.3053, "IoU.runway": 0.7142, "IoU.case": 0.4536, "IoU.pool table": 0.9043, "IoU.pillow": 0.4952, "IoU.screen door": 0.6227, "IoU.stairway": 0.3362, "IoU.river": 0.1627, "IoU.bridge": 0.6644, "IoU.bookcase": 0.339, "IoU.blind": NaN, "IoU.coffee table": 0.5074, "IoU.toilet": 0.7875, "IoU.flower": 0.3228, "IoU.book": 0.4122, "IoU.hill": 0.0402, "IoU.bench": 0.4224, "IoU.countertop": 0.4974, "IoU.stove": 0.6424, "IoU.palm": 0.4593, "IoU.kitchen island": 0.2775, "IoU.computer": 0.5528, "IoU.swivel chair": 0.3921, "IoU.boat": 0.3747, "IoU.bar": 0.3292, "IoU.arcade machine": 0.7548, "IoU.hovel": 0.4104, "IoU.bus": 0.6034, "IoU.towel": 0.5455, "IoU.light": 0.409, "IoU.truck": 0.2385, "IoU.tower": 0.2724, "IoU.chandelier": 0.5868, "IoU.awning": 0.2172, "IoU.streetlight": 0.1834, "IoU.booth": 0.4744, "IoU.television receiver": NaN, "IoU.airplane": 0.5453, "IoU.dirt track": 0.0218, "IoU.apparel": 0.2437, "IoU.pole": 0.1484, "IoU.land": 0.0325, "IoU.bannister": 0.1443, "IoU.escalator": 0.5644, "IoU.ottoman": 0.3452, "IoU.bottle": NaN, "IoU.buffet": 0.4446, "IoU.poster": 0.2039, "IoU.stage": 0.1496, "IoU.van": 0.3812, "IoU.ship": 0.5919, "IoU.fountain": 0.177, "IoU.conveyer belt": 0.5531, "IoU.canopy": 0.1317, "IoU.washer": 0.722, "IoU.plaything": 0.2363, "IoU.swimming pool": 0.5307, "IoU.stool": 0.2554, "IoU.barrel": 0.3913, "IoU.basket": 0.2606, "IoU.waterfall": 0.4765, "IoU.tent": 0.7358, "IoU.bag": 0.0892, "IoU.minibike": 0.5847, "IoU.cradle": NaN, "IoU.oven": 0.0762, "IoU.ball": 0.4041, "IoU.food": 0.5386, "IoU.step": 0.0314, "IoU.tank": 0.4825, "IoU.trade name": 0.1101, "IoU.microwave": 0.406, "IoU.pot": 0.4571, "IoU.animal": NaN, "IoU.bicycle": 0.5127, "IoU.lake": 0.5965, "IoU.dishwasher": 0.3753, "IoU.screen": 0.6967, "IoU.blanket": 0.0487, "IoU.sculpture": 0.4184, "IoU.hood": 0.4842, "IoU.sconce": 0.2889, "IoU.vase": 0.306, "IoU.traffic light": 0.1852, "IoU.tray": 0.0185, "IoU.ashcan": 0.3527, "IoU.fan": 0.4774, "IoU.pier": 0.3291, "IoU.crt screen": 0.043, "IoU.plate": 0.4747, "IoU.monitor": 0.2451, "IoU.bulletin board": 0.4576, "IoU.shower": 0.0, "IoU.radiator": 0.5371, "IoU.glass": 0.083, "IoU.clock": 0.2343, "IoU.flag": 0.2643, "Acc.wall": 0.8535, "Acc.building": 0.9036, "Acc.sky": 0.9698, "Acc.floor": 0.8777, "Acc.tree": 0.8925, "Acc.ceiling": 0.9215, "Acc.road": 0.902, "Acc.bed ": 0.95, "Acc.windowpane": 0.7579, "Acc.grass": 0.7558, "Acc.cabinet": 0.6769, "Acc.sidewalk": 0.7522, "Acc.person": 0.9043, "Acc.earth": 0.3695, "Acc.door": 0.6272, "Acc.table": 0.7115, "Acc.mountain": 0.7392, "Acc.plant": 0.5391, "Acc.curtain": 0.8229, "Acc.chair": 0.6758, "Acc.car": 0.9046, "Acc.water": 0.5607, "Acc.painting": 0.812, "Acc.sofa": 0.7715, "Acc.shelf": 0.5689, "Acc.house": 0.704, "Acc.sea": 0.8298, "Acc.mirror": 0.6284, "Acc.rug": 0.7141, "Acc.field": 0.4817, "Acc.armchair": 0.3991, "Acc.seat": 0.7532, "Acc.fence": 0.6881, "Acc.desk": 0.597, "Acc.rock": 0.5368, "Acc.wardrobe": 0.5823, "Acc.lamp": 0.6868, "Acc.bathtub": 0.7694, "Acc.railing": 0.4189, "Acc.cushion": 0.5873, "Acc.base": 0.3691, "Acc.box": 0.2969, "Acc.column": 0.5614, "Acc.signboard": 0.4686, "Acc.chest of drawers": 0.5441, "Acc.counter": 0.346, "Acc.sand": 0.525, "Acc.sink": 0.7407, "Acc.skyscraper": 0.6854, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8288, "Acc.grandstand": 0.675, "Acc.path": 0.2917, "Acc.stairs": 0.3773, "Acc.runway": 0.9504, "Acc.case": 0.6959, "Acc.pool table": 0.9585, "Acc.pillow": 0.6815, "Acc.screen door": 0.8025, "Acc.stairway": 0.3908, "Acc.river": 0.4474, "Acc.bridge": 0.809, "Acc.bookcase": 0.4195, "Acc.blind": NaN, "Acc.coffee table": 0.7966, "Acc.toilet": 0.8617, "Acc.flower": 0.4652, "Acc.book": 0.5427, "Acc.hill": 0.0987, "Acc.bench": 0.5297, "Acc.countertop": 0.6097, "Acc.stove": 0.8063, "Acc.palm": 0.6258, "Acc.kitchen island": 0.8233, "Acc.computer": 0.6315, "Acc.swivel chair": 0.4984, "Acc.boat": 0.4361, "Acc.bar": 0.3941, "Acc.arcade machine": 0.8511, "Acc.hovel": 0.6969, "Acc.bus": 0.6381, "Acc.towel": 0.6757, "Acc.light": 0.4377, "Acc.truck": 0.3321, "Acc.tower": 0.4465, "Acc.chandelier": 0.7731, "Acc.awning": 0.2693, "Acc.streetlight": 0.2298, "Acc.booth": 0.5697, "Acc.television receiver": NaN, "Acc.airplane": 0.6484, "Acc.dirt track": 0.0272, "Acc.apparel": 0.3829, "Acc.pole": 0.2084, "Acc.land": 0.0467, "Acc.bannister": 0.2017, "Acc.escalator": 0.7619, "Acc.ottoman": 0.5313, "Acc.bottle": NaN, "Acc.buffet": 0.5373, "Acc.poster": 0.2679, "Acc.stage": 0.2636, "Acc.van": 0.5305, "Acc.ship": 0.9642, "Acc.fountain": 0.1908, "Acc.conveyer belt": 0.6513, "Acc.canopy": 0.1793, "Acc.washer": 0.7475, "Acc.plaything": 0.3544, "Acc.swimming pool": 0.8646, "Acc.stool": 0.2907, "Acc.barrel": 0.744, "Acc.basket": 0.3068, "Acc.waterfall": 0.9175, "Acc.tent": 0.9738, "Acc.bag": 0.1167, "Acc.minibike": 0.79, "Acc.cradle": NaN, "Acc.oven": 0.1571, "Acc.ball": 0.4928, "Acc.food": 0.6832, "Acc.step": 0.0332, "Acc.tank": 0.5999, "Acc.trade name": 0.1129, "Acc.microwave": 0.4684, "Acc.pot": 0.5073, "Acc.animal": NaN, "Acc.bicycle": 0.7129, "Acc.lake": 0.7117, "Acc.dishwasher": 0.4786, "Acc.screen": 0.8763, "Acc.blanket": 0.0545, "Acc.sculpture": 0.5468, "Acc.hood": 0.627, "Acc.sconce": 0.3234, "Acc.vase": 0.414, "Acc.traffic light": 0.3168, "Acc.tray": 0.0353, "Acc.ashcan": 0.4516, "Acc.fan": 0.5916, "Acc.pier": 0.392, "Acc.crt screen": 0.0684, "Acc.plate": 0.5866, "Acc.monitor": 0.4642, "Acc.bulletin board": 0.5762, "Acc.shower": 0.0, "Acc.radiator": 0.6145, "Acc.glass": 0.0864, "Acc.clock": 0.2837, "Acc.flag": 0.2879} -{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 22404, "data_time": 1.55321, "decode.loss_seg": 0.35122, "decode.acc_seg": 68.42136, "aux.loss_seg": 0.16973, "aux.acc_seg": 66.63246, "loss": 0.52096, "time": 2.06545} -{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.37556, "decode.acc_seg": 68.61592, "aux.loss_seg": 0.18507, "aux.acc_seg": 66.6252, "loss": 0.56063, "time": 0.5173} -{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.37416, "decode.acc_seg": 69.00153, "aux.loss_seg": 0.18335, "aux.acc_seg": 67.04986, "loss": 0.55751, "time": 0.52221} -{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.37363, "decode.acc_seg": 68.46377, "aux.loss_seg": 0.18526, "aux.acc_seg": 66.27706, "loss": 0.55889, "time": 0.51829} -{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.36047, "decode.acc_seg": 68.25062, "aux.loss_seg": 0.17966, "aux.acc_seg": 66.07202, "loss": 0.54013, "time": 0.51368} -{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.35383, "decode.acc_seg": 69.5424, "aux.loss_seg": 0.17484, "aux.acc_seg": 67.58398, "loss": 0.52866, "time": 0.50779} -{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.39288, "decode.acc_seg": 69.41284, "aux.loss_seg": 0.19486, "aux.acc_seg": 67.22691, "loss": 0.58774, "time": 0.51253} -{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.35943, "decode.acc_seg": 69.09911, "aux.loss_seg": 0.17577, "aux.acc_seg": 67.38934, "loss": 0.5352, "time": 0.50926} -{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.37061, "decode.acc_seg": 68.66796, "aux.loss_seg": 0.18345, "aux.acc_seg": 66.65392, "loss": 0.55406, "time": 0.51112} -{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.38064, "decode.acc_seg": 70.29435, "aux.loss_seg": 0.18822, "aux.acc_seg": 68.40336, "loss": 0.56886, "time": 0.53947} -{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.38136, "decode.acc_seg": 69.68505, "aux.loss_seg": 0.18768, "aux.acc_seg": 67.4264, "loss": 0.56903, "time": 0.54619} -{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.39095, "decode.acc_seg": 67.45306, "aux.loss_seg": 0.19344, "aux.acc_seg": 65.34872, "loss": 0.58438, "time": 0.54357} -{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 22404, "data_time": 0.00629, "decode.loss_seg": 0.35287, "decode.acc_seg": 69.81089, "aux.loss_seg": 0.17546, "aux.acc_seg": 67.55336, "loss": 0.52833, "time": 0.54118} -{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.38693, "decode.acc_seg": 69.05269, "aux.loss_seg": 0.19003, "aux.acc_seg": 66.96727, "loss": 0.57696, "time": 0.51714} -{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.3785, "decode.acc_seg": 68.95081, "aux.loss_seg": 0.18361, "aux.acc_seg": 67.19223, "loss": 0.56211, "time": 0.53479} -{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.37707, "decode.acc_seg": 70.39208, "aux.loss_seg": 0.18445, "aux.acc_seg": 68.321, "loss": 0.56152, "time": 0.52446} -{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 22404, "data_time": 0.24198, "decode.loss_seg": 0.36654, "decode.acc_seg": 70.10604, "aux.loss_seg": 0.18157, "aux.acc_seg": 68.23706, "loss": 0.54811, "time": 0.73949} -{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.34939, "decode.acc_seg": 70.09487, "aux.loss_seg": 0.17421, "aux.acc_seg": 68.10144, "loss": 0.5236, "time": 0.51853} -{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.34356, "decode.acc_seg": 69.91709, "aux.loss_seg": 0.17001, "aux.acc_seg": 67.99901, "loss": 0.51357, "time": 0.51339} -{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.34587, "decode.acc_seg": 69.78082, "aux.loss_seg": 0.17134, "aux.acc_seg": 67.65107, "loss": 0.51721, "time": 0.51639} -{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.39079, "decode.acc_seg": 67.55394, "aux.loss_seg": 0.18731, "aux.acc_seg": 65.84829, "loss": 0.57809, "time": 0.50951} -{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.3913, "decode.acc_seg": 67.01021, "aux.loss_seg": 0.18898, "aux.acc_seg": 65.23616, "loss": 0.58028, "time": 0.51375} -{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 22404, "data_time": 0.00626, "decode.loss_seg": 0.37357, "decode.acc_seg": 67.74659, "aux.loss_seg": 0.18314, "aux.acc_seg": 65.71408, "loss": 0.55671, "time": 0.51128} -{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.35991, "decode.acc_seg": 69.58306, "aux.loss_seg": 0.17519, "aux.acc_seg": 67.77757, "loss": 0.5351, "time": 0.5343} -{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.34468, "decode.acc_seg": 70.20043, "aux.loss_seg": 0.17389, "aux.acc_seg": 68.06931, "loss": 0.51857, "time": 0.53288} -{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.37261, "decode.acc_seg": 69.79832, "aux.loss_seg": 0.1802, "aux.acc_seg": 68.06305, "loss": 0.55281, "time": 0.51541} -{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.371, "decode.acc_seg": 68.4886, "aux.loss_seg": 0.18206, "aux.acc_seg": 66.58388, "loss": 0.55306, "time": 0.53252} -{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.37817, "decode.acc_seg": 68.38946, "aux.loss_seg": 0.18388, "aux.acc_seg": 66.46773, "loss": 0.56205, "time": 0.54555} -{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.35976, "decode.acc_seg": 68.74801, "aux.loss_seg": 0.17845, "aux.acc_seg": 66.58932, "loss": 0.53821, "time": 0.52183} -{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.3792, "decode.acc_seg": 69.45871, "aux.loss_seg": 0.18421, "aux.acc_seg": 67.62838, "loss": 0.56341, "time": 0.51295} -{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.35471, "decode.acc_seg": 69.43266, "aux.loss_seg": 0.17967, "aux.acc_seg": 67.1195, "loss": 0.53437, "time": 0.53048} -{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.37511, "decode.acc_seg": 71.09852, "aux.loss_seg": 0.18444, "aux.acc_seg": 69.11147, "loss": 0.55954, "time": 0.51935} -{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.34855, "decode.acc_seg": 70.72834, "aux.loss_seg": 0.17308, "aux.acc_seg": 68.66069, "loss": 0.52162, "time": 0.5101} -{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.37842, "decode.acc_seg": 70.30587, "aux.loss_seg": 0.1888, "aux.acc_seg": 68.03816, "loss": 0.56722, "time": 0.51104} -{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.36916, "decode.acc_seg": 70.39719, "aux.loss_seg": 0.18105, "aux.acc_seg": 68.76245, "loss": 0.55021, "time": 0.50589} -{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.35705, "decode.acc_seg": 69.41869, "aux.loss_seg": 0.17635, "aux.acc_seg": 67.22847, "loss": 0.53339, "time": 0.51965} -{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.36158, "decode.acc_seg": 69.30722, "aux.loss_seg": 0.18283, "aux.acc_seg": 66.87992, "loss": 0.54441, "time": 0.52514} -{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.35305, "decode.acc_seg": 69.3246, "aux.loss_seg": 0.17847, "aux.acc_seg": 67.38854, "loss": 0.53152, "time": 0.51759} -{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.36172, "decode.acc_seg": 70.05124, "aux.loss_seg": 0.17552, "aux.acc_seg": 68.36178, "loss": 0.53724, "time": 0.51116} -{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.38476, "decode.acc_seg": 69.14967, "aux.loss_seg": 0.18605, "aux.acc_seg": 67.01229, "loss": 0.57081, "time": 0.52537} -{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.39106, "decode.acc_seg": 69.09927, "aux.loss_seg": 0.19169, "aux.acc_seg": 67.06522, "loss": 0.58274, "time": 0.54327} -{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.37331, "decode.acc_seg": 69.63724, "aux.loss_seg": 0.18194, "aux.acc_seg": 67.9934, "loss": 0.55526, "time": 0.54254} -{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 22404, "data_time": 0.24542, "decode.loss_seg": 0.36712, "decode.acc_seg": 68.42049, "aux.loss_seg": 0.18348, "aux.acc_seg": 66.11392, "loss": 0.5506, "time": 0.77633} -{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.35069, "decode.acc_seg": 69.73967, "aux.loss_seg": 0.17204, "aux.acc_seg": 67.79262, "loss": 0.52274, "time": 0.51978} -{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 22404, "data_time": 0.00614, "decode.loss_seg": 0.35968, "decode.acc_seg": 70.71843, "aux.loss_seg": 0.181, "aux.acc_seg": 68.30453, "loss": 0.54068, "time": 0.53054} -{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.34467, "decode.acc_seg": 70.16424, "aux.loss_seg": 0.16905, "aux.acc_seg": 68.43826, "loss": 0.51372, "time": 0.51756} -{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.34961, "decode.acc_seg": 70.14735, "aux.loss_seg": 0.17501, "aux.acc_seg": 68.13356, "loss": 0.52462, "time": 0.51447} -{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.3542, "decode.acc_seg": 68.9367, "aux.loss_seg": 0.178, "aux.acc_seg": 66.77936, "loss": 0.5322, "time": 0.51424} -{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.33771, "decode.acc_seg": 69.39604, "aux.loss_seg": 0.16551, "aux.acc_seg": 67.56722, "loss": 0.50322, "time": 0.54398} -{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.365, "decode.acc_seg": 69.48781, "aux.loss_seg": 0.18222, "aux.acc_seg": 67.41045, "loss": 0.54723, "time": 0.528} -{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.34706, "decode.acc_seg": 69.60064, "aux.loss_seg": 0.17327, "aux.acc_seg": 67.61556, "loss": 0.52034, "time": 0.52595} -{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.36468, "decode.acc_seg": 68.8832, "aux.loss_seg": 0.18409, "aux.acc_seg": 66.9411, "loss": 0.54876, "time": 0.52369} -{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.3569, "decode.acc_seg": 69.57167, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.75753, "loss": 0.53144, "time": 0.5118} -{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 22404, "data_time": 0.00621, "decode.loss_seg": 0.36065, "decode.acc_seg": 68.59661, "aux.loss_seg": 0.18309, "aux.acc_seg": 66.27427, "loss": 0.54373, "time": 0.50834} -{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.34218, "decode.acc_seg": 70.09252, "aux.loss_seg": 0.17076, "aux.acc_seg": 67.88374, "loss": 0.51294, "time": 0.53524} -{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 22404, "data_time": 0.0066, "decode.loss_seg": 0.35853, "decode.acc_seg": 69.66142, "aux.loss_seg": 0.17705, "aux.acc_seg": 67.90187, "loss": 0.53558, "time": 0.5226} -{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.34913, "decode.acc_seg": 70.77078, "aux.loss_seg": 0.174, "aux.acc_seg": 68.74367, "loss": 0.52313, "time": 0.52646} -{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.36667, "decode.acc_seg": 69.91978, "aux.loss_seg": 0.18206, "aux.acc_seg": 67.96459, "loss": 0.54873, "time": 0.50689} -{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 22404, "data_time": 0.00629, "decode.loss_seg": 0.35534, "decode.acc_seg": 69.60449, "aux.loss_seg": 0.1764, "aux.acc_seg": 67.76224, "loss": 0.53174, "time": 0.5187} -{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.3606, "decode.acc_seg": 69.95823, "aux.loss_seg": 0.17946, "aux.acc_seg": 67.79178, "loss": 0.54007, "time": 0.51391} -{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.34557, "decode.acc_seg": 70.73624, "aux.loss_seg": 0.17361, "aux.acc_seg": 68.56741, "loss": 0.51919, "time": 0.51224} -{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.3599, "decode.acc_seg": 70.37728, "aux.loss_seg": 0.17622, "aux.acc_seg": 68.69679, "loss": 0.53612, "time": 0.51308} -{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.36415, "decode.acc_seg": 69.6894, "aux.loss_seg": 0.17593, "aux.acc_seg": 67.58968, "loss": 0.54008, "time": 0.51287} -{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.38779, "decode.acc_seg": 69.22713, "aux.loss_seg": 0.18801, "aux.acc_seg": 67.22479, "loss": 0.57579, "time": 0.52727} -{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.37339, "decode.acc_seg": 69.91776, "aux.loss_seg": 0.18199, "aux.acc_seg": 68.02663, "loss": 0.55538, "time": 0.52657} -{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.34335, "decode.acc_seg": 68.78926, "aux.loss_seg": 0.17145, "aux.acc_seg": 66.8618, "loss": 0.51481, "time": 0.5145} -{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.35918, "decode.acc_seg": 70.08792, "aux.loss_seg": 0.17801, "aux.acc_seg": 68.04335, "loss": 0.53719, "time": 0.51617} -{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 22404, "data_time": 0.2451, "decode.loss_seg": 0.34455, "decode.acc_seg": 70.36678, "aux.loss_seg": 0.17129, "aux.acc_seg": 68.31894, "loss": 0.51585, "time": 0.74529} -{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.36184, "decode.acc_seg": 69.53674, "aux.loss_seg": 0.1802, "aux.acc_seg": 67.39566, "loss": 0.54203, "time": 0.53418} -{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.33198, "decode.acc_seg": 69.37169, "aux.loss_seg": 0.16998, "aux.acc_seg": 67.11027, "loss": 0.50197, "time": 0.51625} -{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.35392, "decode.acc_seg": 70.60959, "aux.loss_seg": 0.1752, "aux.acc_seg": 68.73566, "loss": 0.52912, "time": 0.51301} -{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.35686, "decode.acc_seg": 69.7356, "aux.loss_seg": 0.17954, "aux.acc_seg": 67.5758, "loss": 0.5364, "time": 0.51354} -{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.37813, "decode.acc_seg": 70.7932, "aux.loss_seg": 0.18445, "aux.acc_seg": 68.9147, "loss": 0.56258, "time": 0.52332} -{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.35495, "decode.acc_seg": 69.61847, "aux.loss_seg": 0.16923, "aux.acc_seg": 68.06386, "loss": 0.52418, "time": 0.51565} -{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.34345, "decode.acc_seg": 69.44855, "aux.loss_seg": 0.17182, "aux.acc_seg": 67.53432, "loss": 0.51527, "time": 0.51549} -{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.3468, "decode.acc_seg": 69.55402, "aux.loss_seg": 0.17056, "aux.acc_seg": 67.69295, "loss": 0.51736, "time": 0.51207} -{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.34724, "decode.acc_seg": 68.90973, "aux.loss_seg": 0.17243, "aux.acc_seg": 66.89123, "loss": 0.51966, "time": 0.50984} -{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.34024, "decode.acc_seg": 69.79822, "aux.loss_seg": 0.1734, "aux.acc_seg": 67.58723, "loss": 0.51364, "time": 0.53277} -{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.3459, "decode.acc_seg": 70.66686, "aux.loss_seg": 0.17243, "aux.acc_seg": 68.59078, "loss": 0.51834, "time": 0.52727} -{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.35484, "decode.acc_seg": 70.19214, "aux.loss_seg": 0.17701, "aux.acc_seg": 68.15485, "loss": 0.53185, "time": 0.54361} -{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.34483, "decode.acc_seg": 70.05236, "aux.loss_seg": 0.17031, "aux.acc_seg": 68.19553, "loss": 0.51514, "time": 0.52209} -{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 22404, "data_time": 0.00877, "decode.loss_seg": 0.36242, "decode.acc_seg": 68.28573, "aux.loss_seg": 0.18152, "aux.acc_seg": 66.2725, "loss": 0.54394, "time": 0.54272} -{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.35904, "decode.acc_seg": 68.78524, "aux.loss_seg": 0.17983, "aux.acc_seg": 66.66505, "loss": 0.53887, "time": 0.53149} -{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.36418, "decode.acc_seg": 69.75444, "aux.loss_seg": 0.18512, "aux.acc_seg": 67.48704, "loss": 0.5493, "time": 0.53926} -{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.3686, "decode.acc_seg": 69.77808, "aux.loss_seg": 0.18247, "aux.acc_seg": 67.76947, "loss": 0.55107, "time": 0.50968} -{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.37697, "decode.acc_seg": 69.38787, "aux.loss_seg": 0.18629, "aux.acc_seg": 67.37805, "loss": 0.56326, "time": 0.5359} -{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 22404, "data_time": 0.00838, "decode.loss_seg": 0.35696, "decode.acc_seg": 68.82598, "aux.loss_seg": 0.17446, "aux.acc_seg": 67.08165, "loss": 0.53142, "time": 0.51315} -{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.34778, "decode.acc_seg": 69.19772, "aux.loss_seg": 0.17225, "aux.acc_seg": 67.26465, "loss": 0.52003, "time": 0.5291} -{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.32518, "decode.acc_seg": 68.19478, "aux.loss_seg": 0.16208, "aux.acc_seg": 66.28662, "loss": 0.48726, "time": 0.53314} -{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.35078, "decode.acc_seg": 68.81987, "aux.loss_seg": 0.17492, "aux.acc_seg": 66.92958, "loss": 0.5257, "time": 0.52744} -{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.34847, "decode.acc_seg": 69.77613, "aux.loss_seg": 0.17564, "aux.acc_seg": 67.77028, "loss": 0.52411, "time": 0.53345} -{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.35335, "decode.acc_seg": 70.82843, "aux.loss_seg": 0.17397, "aux.acc_seg": 68.91858, "loss": 0.52732, "time": 0.51098} -{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 22404, "data_time": 0.24608, "decode.loss_seg": 0.36178, "decode.acc_seg": 70.65404, "aux.loss_seg": 0.1723, "aux.acc_seg": 68.92521, "loss": 0.53408, "time": 0.74579} -{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 22404, "data_time": 0.0081, "decode.loss_seg": 0.33453, "decode.acc_seg": 69.87653, "aux.loss_seg": 0.16861, "aux.acc_seg": 67.83634, "loss": 0.50313, "time": 0.52671} -{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 22404, "data_time": 0.00819, "decode.loss_seg": 0.3351, "decode.acc_seg": 70.45954, "aux.loss_seg": 0.16766, "aux.acc_seg": 68.47249, "loss": 0.50276, "time": 0.50812} -{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.35367, "decode.acc_seg": 70.33546, "aux.loss_seg": 0.17555, "aux.acc_seg": 68.26285, "loss": 0.52922, "time": 0.51377} -{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.31542, "decode.acc_seg": 70.15265, "aux.loss_seg": 0.15841, "aux.acc_seg": 68.14677, "loss": 0.47383, "time": 0.52132} -{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.3257, "decode.acc_seg": 70.39741, "aux.loss_seg": 0.16365, "aux.acc_seg": 68.32057, "loss": 0.48936, "time": 0.51555} -{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.33536, "decode.acc_seg": 69.25469, "aux.loss_seg": 0.16542, "aux.acc_seg": 67.62519, "loss": 0.50078, "time": 0.50913} -{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.32749, "decode.acc_seg": 70.40261, "aux.loss_seg": 0.16508, "aux.acc_seg": 68.34325, "loss": 0.49257, "time": 0.51027} -{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.3351, "decode.acc_seg": 70.47619, "aux.loss_seg": 0.16851, "aux.acc_seg": 68.29213, "loss": 0.50361, "time": 0.51929} -{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.34209, "decode.acc_seg": 71.62712, "aux.loss_seg": 0.17153, "aux.acc_seg": 69.64925, "loss": 0.51362, "time": 0.52812} -{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.36441, "decode.acc_seg": 69.01528, "aux.loss_seg": 0.18286, "aux.acc_seg": 66.9729, "loss": 0.54727, "time": 0.52687} -{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.3454, "decode.acc_seg": 70.5764, "aux.loss_seg": 0.17561, "aux.acc_seg": 68.59513, "loss": 0.52101, "time": 0.51038} -{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.34208, "decode.acc_seg": 69.09375, "aux.loss_seg": 0.16919, "aux.acc_seg": 67.27218, "loss": 0.51127, "time": 0.50655} -{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.33989, "decode.acc_seg": 70.87217, "aux.loss_seg": 0.17215, "aux.acc_seg": 68.71662, "loss": 0.51205, "time": 0.50787} -{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.34785, "decode.acc_seg": 69.60443, "aux.loss_seg": 0.17374, "aux.acc_seg": 67.41029, "loss": 0.5216, "time": 0.50821} -{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.34795, "decode.acc_seg": 69.91784, "aux.loss_seg": 0.17174, "aux.acc_seg": 68.04655, "loss": 0.51969, "time": 0.5161} -{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.34082, "decode.acc_seg": 69.88393, "aux.loss_seg": 0.16848, "aux.acc_seg": 67.93697, "loss": 0.50929, "time": 0.52234} -{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.33825, "decode.acc_seg": 70.30013, "aux.loss_seg": 0.16904, "aux.acc_seg": 68.33462, "loss": 0.50728, "time": 0.52067} -{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.35207, "decode.acc_seg": 70.3268, "aux.loss_seg": 0.1724, "aux.acc_seg": 68.66083, "loss": 0.52447, "time": 0.51023} -{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.35262, "decode.acc_seg": 69.82364, "aux.loss_seg": 0.17084, "aux.acc_seg": 68.20822, "loss": 0.52346, "time": 0.5135} -{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.36064, "decode.acc_seg": 68.98338, "aux.loss_seg": 0.18014, "aux.acc_seg": 67.06244, "loss": 0.54078, "time": 0.51279} -{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.3439, "decode.acc_seg": 68.43885, "aux.loss_seg": 0.17193, "aux.acc_seg": 66.31263, "loss": 0.51583, "time": 0.50924} -{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.33592, "decode.acc_seg": 70.63972, "aux.loss_seg": 0.16736, "aux.acc_seg": 68.62405, "loss": 0.50328, "time": 0.53596} -{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.36835, "decode.acc_seg": 69.64691, "aux.loss_seg": 0.18075, "aux.acc_seg": 67.66079, "loss": 0.5491, "time": 0.52247} -{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.35739, "decode.acc_seg": 69.4481, "aux.loss_seg": 0.1782, "aux.acc_seg": 67.30674, "loss": 0.53559, "time": 0.52121} -{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 22404, "data_time": 0.24461, "decode.loss_seg": 0.35208, "decode.acc_seg": 69.13782, "aux.loss_seg": 0.17082, "aux.acc_seg": 67.4158, "loss": 0.5229, "time": 0.75946} -{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.31644, "decode.acc_seg": 70.58675, "aux.loss_seg": 0.15924, "aux.acc_seg": 68.64033, "loss": 0.47567, "time": 0.50865} -{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.31637, "decode.acc_seg": 70.87479, "aux.loss_seg": 0.15641, "aux.acc_seg": 69.15984, "loss": 0.47278, "time": 0.52211} -{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.33469, "decode.acc_seg": 69.33083, "aux.loss_seg": 0.1667, "aux.acc_seg": 67.36106, "loss": 0.50139, "time": 0.52685} -{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.34067, "decode.acc_seg": 70.5916, "aux.loss_seg": 0.17237, "aux.acc_seg": 68.17179, "loss": 0.51303, "time": 0.50998} -{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.33173, "decode.acc_seg": 69.56644, "aux.loss_seg": 0.16571, "aux.acc_seg": 67.5734, "loss": 0.49743, "time": 0.515} -{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.32223, "decode.acc_seg": 70.65172, "aux.loss_seg": 0.16372, "aux.acc_seg": 68.74812, "loss": 0.48594, "time": 0.53393} -{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.34265, "decode.acc_seg": 69.61404, "aux.loss_seg": 0.17427, "aux.acc_seg": 67.43532, "loss": 0.51692, "time": 0.51613} -{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.33636, "decode.acc_seg": 70.46564, "aux.loss_seg": 0.16813, "aux.acc_seg": 68.32453, "loss": 0.50449, "time": 0.51955} -{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.33224, "decode.acc_seg": 71.3639, "aux.loss_seg": 0.16651, "aux.acc_seg": 69.40873, "loss": 0.49874, "time": 0.51423} -{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.35596, "decode.acc_seg": 68.90086, "aux.loss_seg": 0.17931, "aux.acc_seg": 66.57689, "loss": 0.53528, "time": 0.52335} -{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.34556, "decode.acc_seg": 69.12417, "aux.loss_seg": 0.17015, "aux.acc_seg": 67.19645, "loss": 0.51571, "time": 0.50606} -{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.34579, "decode.acc_seg": 71.15932, "aux.loss_seg": 0.16837, "aux.acc_seg": 69.43169, "loss": 0.51417, "time": 0.53204} -{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.35688, "decode.acc_seg": 68.72462, "aux.loss_seg": 0.17233, "aux.acc_seg": 66.89899, "loss": 0.52922, "time": 0.50505} -{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.35486, "decode.acc_seg": 69.57826, "aux.loss_seg": 0.17733, "aux.acc_seg": 67.53792, "loss": 0.53218, "time": 0.51385} -{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.3433, "decode.acc_seg": 70.16347, "aux.loss_seg": 0.17175, "aux.acc_seg": 68.02556, "loss": 0.51505, "time": 0.50923} -{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.36156, "decode.acc_seg": 68.78846, "aux.loss_seg": 0.17569, "aux.acc_seg": 67.02405, "loss": 0.53725, "time": 0.52546} -{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.3312, "decode.acc_seg": 69.00711, "aux.loss_seg": 0.1652, "aux.acc_seg": 67.0321, "loss": 0.49639, "time": 0.51554} -{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.35448, "decode.acc_seg": 70.33912, "aux.loss_seg": 0.1754, "aux.acc_seg": 68.34431, "loss": 0.52987, "time": 0.53642} -{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.3834, "decode.acc_seg": 69.16495, "aux.loss_seg": 0.18615, "aux.acc_seg": 67.21799, "loss": 0.56955, "time": 0.54746} -{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.34633, "decode.acc_seg": 70.31084, "aux.loss_seg": 0.17512, "aux.acc_seg": 68.05883, "loss": 0.52145, "time": 0.54866} -{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.36302, "decode.acc_seg": 70.47608, "aux.loss_seg": 0.17551, "aux.acc_seg": 68.64612, "loss": 0.53853, "time": 0.52744} -{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.33889, "decode.acc_seg": 70.23371, "aux.loss_seg": 0.16855, "aux.acc_seg": 68.43107, "loss": 0.50744, "time": 0.50791} -{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.33555, "decode.acc_seg": 70.04123, "aux.loss_seg": 0.16505, "aux.acc_seg": 68.35953, "loss": 0.5006, "time": 0.51439} -{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.3534, "decode.acc_seg": 70.79798, "aux.loss_seg": 0.17416, "aux.acc_seg": 68.98037, "loss": 0.52756, "time": 0.50532} -{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.33442, "decode.acc_seg": 69.51805, "aux.loss_seg": 0.1676, "aux.acc_seg": 67.56898, "loss": 0.50202, "time": 0.50185} -{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 22404, "data_time": 0.24922, "decode.loss_seg": 0.31512, "decode.acc_seg": 71.18461, "aux.loss_seg": 0.16022, "aux.acc_seg": 69.16741, "loss": 0.47534, "time": 0.76408} -{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.33933, "decode.acc_seg": 68.50521, "aux.loss_seg": 0.17068, "aux.acc_seg": 66.49374, "loss": 0.51, "time": 0.53978} -{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.33828, "decode.acc_seg": 70.98038, "aux.loss_seg": 0.16919, "aux.acc_seg": 69.00913, "loss": 0.50747, "time": 0.50953} -{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.34158, "decode.acc_seg": 70.27421, "aux.loss_seg": 0.16893, "aux.acc_seg": 68.51253, "loss": 0.51051, "time": 0.51413} -{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.32886, "decode.acc_seg": 69.4332, "aux.loss_seg": 0.16642, "aux.acc_seg": 67.31981, "loss": 0.49528, "time": 0.51043} -{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.34092, "decode.acc_seg": 71.43058, "aux.loss_seg": 0.17314, "aux.acc_seg": 69.16078, "loss": 0.51405, "time": 0.51867} -{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.33694, "decode.acc_seg": 70.12459, "aux.loss_seg": 0.16729, "aux.acc_seg": 68.44252, "loss": 0.50423, "time": 0.50531} -{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.35473, "decode.acc_seg": 70.47658, "aux.loss_seg": 0.17328, "aux.acc_seg": 68.34981, "loss": 0.52801, "time": 0.53946} -{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.29932, "decode.acc_seg": 70.82804, "aux.loss_seg": 0.1505, "aux.acc_seg": 68.89753, "loss": 0.44982, "time": 0.54346} -{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.345, "decode.acc_seg": 69.60089, "aux.loss_seg": 0.16975, "aux.acc_seg": 67.68415, "loss": 0.51475, "time": 0.53588} -{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.33513, "decode.acc_seg": 70.12767, "aux.loss_seg": 0.1639, "aux.acc_seg": 68.53292, "loss": 0.49903, "time": 0.52832} -{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.31191, "decode.acc_seg": 70.57121, "aux.loss_seg": 0.15735, "aux.acc_seg": 68.62225, "loss": 0.46926, "time": 0.51018} -{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.32943, "decode.acc_seg": 71.32598, "aux.loss_seg": 0.16377, "aux.acc_seg": 69.34417, "loss": 0.49319, "time": 0.5366} -{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.33495, "decode.acc_seg": 71.1464, "aux.loss_seg": 0.16452, "aux.acc_seg": 69.29986, "loss": 0.49947, "time": 0.50615} -{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.3374, "decode.acc_seg": 69.53251, "aux.loss_seg": 0.16902, "aux.acc_seg": 67.5596, "loss": 0.50643, "time": 0.50625} -{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.32048, "decode.acc_seg": 70.52849, "aux.loss_seg": 0.16152, "aux.acc_seg": 68.67042, "loss": 0.48201, "time": 0.52341} -{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.32875, "decode.acc_seg": 70.2866, "aux.loss_seg": 0.16483, "aux.acc_seg": 68.28553, "loss": 0.49359, "time": 0.51784} -{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.32252, "decode.acc_seg": 69.09074, "aux.loss_seg": 0.16226, "aux.acc_seg": 67.1318, "loss": 0.48478, "time": 0.51135} -{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.34613, "decode.acc_seg": 70.10765, "aux.loss_seg": 0.16968, "aux.acc_seg": 68.31814, "loss": 0.51582, "time": 0.51408} -{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.36594, "decode.acc_seg": 68.90404, "aux.loss_seg": 0.17762, "aux.acc_seg": 66.97447, "loss": 0.54357, "time": 0.51226} -{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.32233, "decode.acc_seg": 70.37326, "aux.loss_seg": 0.1642, "aux.acc_seg": 68.15454, "loss": 0.48653, "time": 0.51195} -{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.36529, "decode.acc_seg": 69.10886, "aux.loss_seg": 0.18099, "aux.acc_seg": 66.92724, "loss": 0.54627, "time": 0.53768} -{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.34673, "decode.acc_seg": 69.4454, "aux.loss_seg": 0.17467, "aux.acc_seg": 67.51744, "loss": 0.5214, "time": 0.53277} -{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.32752, "decode.acc_seg": 69.84312, "aux.loss_seg": 0.16284, "aux.acc_seg": 67.97281, "loss": 0.49036, "time": 0.53907} -{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.32524, "decode.acc_seg": 69.81278, "aux.loss_seg": 0.16588, "aux.acc_seg": 67.49914, "loss": 0.49112, "time": 0.52031} -{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 22404, "data_time": 0.24613, "decode.loss_seg": 0.32085, "decode.acc_seg": 71.09348, "aux.loss_seg": 0.16001, "aux.acc_seg": 69.15402, "loss": 0.48086, "time": 0.74455} -{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 22404, "data_time": 0.00813, "decode.loss_seg": 0.33122, "decode.acc_seg": 70.704, "aux.loss_seg": 0.16579, "aux.acc_seg": 68.76942, "loss": 0.49701, "time": 0.53738} -{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.34421, "decode.acc_seg": 69.80415, "aux.loss_seg": 0.17337, "aux.acc_seg": 67.60264, "loss": 0.51758, "time": 0.51061} -{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.34265, "decode.acc_seg": 68.88948, "aux.loss_seg": 0.17124, "aux.acc_seg": 66.93265, "loss": 0.5139, "time": 0.50847} -{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.31939, "decode.acc_seg": 72.07344, "aux.loss_seg": 0.16129, "aux.acc_seg": 70.06163, "loss": 0.48069, "time": 0.51099} -{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.33241, "decode.acc_seg": 70.1732, "aux.loss_seg": 0.16706, "aux.acc_seg": 68.17975, "loss": 0.49947, "time": 0.50888} -{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.33978, "decode.acc_seg": 72.86393, "aux.loss_seg": 0.17199, "aux.acc_seg": 70.71521, "loss": 0.51177, "time": 0.51617} -{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.32396, "decode.acc_seg": 70.53792, "aux.loss_seg": 0.16161, "aux.acc_seg": 68.90982, "loss": 0.48557, "time": 0.50653} -{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.31206, "decode.acc_seg": 68.98947, "aux.loss_seg": 0.15516, "aux.acc_seg": 67.3083, "loss": 0.46723, "time": 0.52256} -{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.33093, "decode.acc_seg": 69.8781, "aux.loss_seg": 0.16889, "aux.acc_seg": 67.49816, "loss": 0.49982, "time": 0.50791} -{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.31428, "decode.acc_seg": 70.13145, "aux.loss_seg": 0.15738, "aux.acc_seg": 68.11006, "loss": 0.47166, "time": 0.51071} -{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.34892, "decode.acc_seg": 71.47195, "aux.loss_seg": 0.17307, "aux.acc_seg": 69.34797, "loss": 0.52199, "time": 0.51132} -{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.32714, "decode.acc_seg": 69.35468, "aux.loss_seg": 0.16451, "aux.acc_seg": 67.35567, "loss": 0.49165, "time": 0.52147} -{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.32594, "decode.acc_seg": 70.04108, "aux.loss_seg": 0.16235, "aux.acc_seg": 67.89729, "loss": 0.48829, "time": 0.54576} -{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 22404, "data_time": 0.00813, "decode.loss_seg": 0.35128, "decode.acc_seg": 69.51491, "aux.loss_seg": 0.17107, "aux.acc_seg": 67.59086, "loss": 0.52235, "time": 0.54293} -{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.3364, "decode.acc_seg": 70.84987, "aux.loss_seg": 0.1698, "aux.acc_seg": 68.66967, "loss": 0.5062, "time": 0.54026} -{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.34794, "decode.acc_seg": 69.93833, "aux.loss_seg": 0.17034, "aux.acc_seg": 67.89859, "loss": 0.51828, "time": 0.53301} -{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.33429, "decode.acc_seg": 69.7694, "aux.loss_seg": 0.16603, "aux.acc_seg": 67.79176, "loss": 0.50032, "time": 0.5384} -{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.31415, "decode.acc_seg": 70.95633, "aux.loss_seg": 0.16107, "aux.acc_seg": 68.71836, "loss": 0.47521, "time": 0.52577} -{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 22404, "data_time": 0.00835, "decode.loss_seg": 0.3455, "decode.acc_seg": 70.36492, "aux.loss_seg": 0.17336, "aux.acc_seg": 68.39919, "loss": 0.51886, "time": 0.51009} -{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.32119, "decode.acc_seg": 70.33075, "aux.loss_seg": 0.16155, "aux.acc_seg": 68.41467, "loss": 0.48275, "time": 0.51654} -{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.34385, "decode.acc_seg": 70.67726, "aux.loss_seg": 0.1698, "aux.acc_seg": 68.8342, "loss": 0.51365, "time": 0.54015} -{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.33657, "decode.acc_seg": 70.94784, "aux.loss_seg": 0.16449, "aux.acc_seg": 69.30099, "loss": 0.50106, "time": 0.53336} -{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.32601, "decode.acc_seg": 70.98996, "aux.loss_seg": 0.16398, "aux.acc_seg": 68.88611, "loss": 0.48999, "time": 0.54367} -{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 22404, "data_time": 0.00816, "decode.loss_seg": 0.32713, "decode.acc_seg": 69.61183, "aux.loss_seg": 0.16578, "aux.acc_seg": 67.55849, "loss": 0.49291, "time": 0.54453} -{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 22404, "data_time": 0.25745, "decode.loss_seg": 0.31553, "decode.acc_seg": 70.13223, "aux.loss_seg": 0.15732, "aux.acc_seg": 68.40995, "loss": 0.47284, "time": 0.77529} -{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.34541, "decode.acc_seg": 70.61216, "aux.loss_seg": 0.17497, "aux.acc_seg": 68.63603, "loss": 0.52038, "time": 0.51054} -{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.32191, "decode.acc_seg": 72.14301, "aux.loss_seg": 0.1615, "aux.acc_seg": 70.19406, "loss": 0.48341, "time": 0.50882} -{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.31745, "decode.acc_seg": 70.7187, "aux.loss_seg": 0.16459, "aux.acc_seg": 68.69042, "loss": 0.48204, "time": 0.50726} -{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.30087, "decode.acc_seg": 70.36008, "aux.loss_seg": 0.15304, "aux.acc_seg": 68.34147, "loss": 0.45391, "time": 0.51892} -{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.31004, "decode.acc_seg": 71.12104, "aux.loss_seg": 0.15866, "aux.acc_seg": 69.12771, "loss": 0.4687, "time": 0.51244} -{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.34281, "decode.acc_seg": 71.38494, "aux.loss_seg": 0.17012, "aux.acc_seg": 69.32279, "loss": 0.51292, "time": 0.51314} -{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.32646, "decode.acc_seg": 70.00971, "aux.loss_seg": 0.16727, "aux.acc_seg": 67.8458, "loss": 0.49373, "time": 0.51109} -{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.32874, "decode.acc_seg": 70.54954, "aux.loss_seg": 0.16491, "aux.acc_seg": 68.51116, "loss": 0.49365, "time": 0.51792} -{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 22404, "data_time": 0.0081, "decode.loss_seg": 0.32705, "decode.acc_seg": 69.90397, "aux.loss_seg": 0.16473, "aux.acc_seg": 67.90535, "loss": 0.49178, "time": 0.51921} -{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.30764, "decode.acc_seg": 71.50446, "aux.loss_seg": 0.15441, "aux.acc_seg": 69.63118, "loss": 0.46204, "time": 0.51499} -{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.30739, "decode.acc_seg": 71.39969, "aux.loss_seg": 0.15653, "aux.acc_seg": 69.46602, "loss": 0.46392, "time": 0.51438} -{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.33597, "decode.acc_seg": 69.86379, "aux.loss_seg": 0.16957, "aux.acc_seg": 67.63982, "loss": 0.50554, "time": 0.51581} -{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.30564, "decode.acc_seg": 70.43658, "aux.loss_seg": 0.15566, "aux.acc_seg": 68.38364, "loss": 0.4613, "time": 0.51521} -{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.33736, "decode.acc_seg": 70.76608, "aux.loss_seg": 0.16813, "aux.acc_seg": 68.74023, "loss": 0.50549, "time": 0.53961} -{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.32574, "decode.acc_seg": 71.19274, "aux.loss_seg": 0.16071, "aux.acc_seg": 69.42313, "loss": 0.48645, "time": 0.50833} -{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.31682, "decode.acc_seg": 70.1482, "aux.loss_seg": 0.15992, "aux.acc_seg": 68.28286, "loss": 0.47674, "time": 0.51392} -{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.31137, "decode.acc_seg": 70.55668, "aux.loss_seg": 0.15556, "aux.acc_seg": 68.84267, "loss": 0.46694, "time": 0.54451} -{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.32504, "decode.acc_seg": 70.72102, "aux.loss_seg": 0.16318, "aux.acc_seg": 68.79313, "loss": 0.48822, "time": 0.52247} -{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.32278, "decode.acc_seg": 69.29986, "aux.loss_seg": 0.16062, "aux.acc_seg": 67.55928, "loss": 0.4834, "time": 0.50838} -{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.32284, "decode.acc_seg": 71.58408, "aux.loss_seg": 0.16186, "aux.acc_seg": 69.62391, "loss": 0.4847, "time": 0.52496} -{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.31843, "decode.acc_seg": 69.09189, "aux.loss_seg": 0.15803, "aux.acc_seg": 67.28206, "loss": 0.47646, "time": 0.52384} -{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.34286, "decode.acc_seg": 68.76798, "aux.loss_seg": 0.17047, "aux.acc_seg": 66.83468, "loss": 0.51333, "time": 0.53335} -{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.32426, "decode.acc_seg": 70.33721, "aux.loss_seg": 0.15876, "aux.acc_seg": 68.6814, "loss": 0.48301, "time": 0.51954} -{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.31421, "decode.acc_seg": 70.03032, "aux.loss_seg": 0.15569, "aux.acc_seg": 68.09741, "loss": 0.46989, "time": 0.51323} -{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 22404, "data_time": 0.24249, "decode.loss_seg": 0.33188, "decode.acc_seg": 68.96477, "aux.loss_seg": 0.1673, "aux.acc_seg": 67.07413, "loss": 0.49919, "time": 0.75133} -{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.30837, "decode.acc_seg": 70.914, "aux.loss_seg": 0.1569, "aux.acc_seg": 68.72936, "loss": 0.46527, "time": 0.52574} -{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.30792, "decode.acc_seg": 71.76579, "aux.loss_seg": 0.15691, "aux.acc_seg": 69.68641, "loss": 0.46484, "time": 0.52219} -{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.33575, "decode.acc_seg": 71.42325, "aux.loss_seg": 0.16941, "aux.acc_seg": 69.24529, "loss": 0.50516, "time": 0.51424} -{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 22404, "data_time": 0.00839, "decode.loss_seg": 0.3241, "decode.acc_seg": 71.72632, "aux.loss_seg": 0.16523, "aux.acc_seg": 69.58353, "loss": 0.48933, "time": 0.52821} -{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.29403, "decode.acc_seg": 71.31966, "aux.loss_seg": 0.14992, "aux.acc_seg": 69.16011, "loss": 0.44395, "time": 0.51855} -{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 22404, "data_time": 0.00821, "decode.loss_seg": 0.3128, "decode.acc_seg": 69.24564, "aux.loss_seg": 0.15743, "aux.acc_seg": 67.28131, "loss": 0.47023, "time": 0.54018} -{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 22404, "data_time": 0.00867, "decode.loss_seg": 0.31102, "decode.acc_seg": 70.12794, "aux.loss_seg": 0.15762, "aux.acc_seg": 68.07698, "loss": 0.46865, "time": 0.51368} -{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.32858, "decode.acc_seg": 69.99592, "aux.loss_seg": 0.16439, "aux.acc_seg": 68.12358, "loss": 0.49297, "time": 0.52285} -{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 22404, "data_time": 0.00838, "decode.loss_seg": 0.33513, "decode.acc_seg": 69.79478, "aux.loss_seg": 0.16498, "aux.acc_seg": 68.06676, "loss": 0.50011, "time": 0.52357} -{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 22404, "data_time": 0.00936, "decode.loss_seg": 0.30841, "decode.acc_seg": 71.04471, "aux.loss_seg": 0.15798, "aux.acc_seg": 69.04249, "loss": 0.46639, "time": 0.53505} -{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.32896, "decode.acc_seg": 68.95226, "aux.loss_seg": 0.16161, "aux.acc_seg": 67.29507, "loss": 0.49056, "time": 0.51203} -{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 22404, "data_time": 0.0088, "decode.loss_seg": 0.32643, "decode.acc_seg": 70.31838, "aux.loss_seg": 0.16709, "aux.acc_seg": 68.206, "loss": 0.49352, "time": 0.50977} -{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.30117, "decode.acc_seg": 71.0486, "aux.loss_seg": 0.1517, "aux.acc_seg": 69.10833, "loss": 0.45287, "time": 0.52203} -{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.32549, "decode.acc_seg": 70.65277, "aux.loss_seg": 0.16163, "aux.acc_seg": 68.87261, "loss": 0.48712, "time": 0.50916} -{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 22404, "data_time": 0.00832, "decode.loss_seg": 0.3369, "decode.acc_seg": 70.08595, "aux.loss_seg": 0.16903, "aux.acc_seg": 67.96321, "loss": 0.50593, "time": 0.51261} -{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 22404, "data_time": 0.00845, "decode.loss_seg": 0.3031, "decode.acc_seg": 70.79411, "aux.loss_seg": 0.15454, "aux.acc_seg": 68.72532, "loss": 0.45764, "time": 0.52977} -{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 22404, "data_time": 0.00817, "decode.loss_seg": 0.32314, "decode.acc_seg": 70.12997, "aux.loss_seg": 0.15974, "aux.acc_seg": 68.49583, "loss": 0.48287, "time": 0.54029} -{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 22404, "data_time": 0.00861, "decode.loss_seg": 0.30992, "decode.acc_seg": 70.98333, "aux.loss_seg": 0.15748, "aux.acc_seg": 68.7855, "loss": 0.4674, "time": 0.52525} -{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.32425, "decode.acc_seg": 71.40395, "aux.loss_seg": 0.16397, "aux.acc_seg": 69.34443, "loss": 0.48822, "time": 0.54064} -{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 22404, "data_time": 0.00861, "decode.loss_seg": 0.31968, "decode.acc_seg": 70.76386, "aux.loss_seg": 0.16046, "aux.acc_seg": 68.78606, "loss": 0.48014, "time": 0.54424} -{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.32077, "decode.acc_seg": 69.64936, "aux.loss_seg": 0.16119, "aux.acc_seg": 67.61511, "loss": 0.48196, "time": 0.51499} -{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.31069, "decode.acc_seg": 70.25755, "aux.loss_seg": 0.15547, "aux.acc_seg": 68.44201, "loss": 0.46616, "time": 0.51522} -{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.34862, "decode.acc_seg": 70.73675, "aux.loss_seg": 0.17402, "aux.acc_seg": 68.6172, "loss": 0.52263, "time": 0.51821} -{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.32035, "decode.acc_seg": 70.54915, "aux.loss_seg": 0.1608, "aux.acc_seg": 68.56607, "loss": 0.48114, "time": 0.52216} -{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.32204, "decode.acc_seg": 70.79169, "aux.loss_seg": 0.16199, "aux.acc_seg": 68.68221, "loss": 0.48403, "time": 0.50956} -{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 22404, "data_time": 0.24579, "decode.loss_seg": 0.30916, "decode.acc_seg": 70.40168, "aux.loss_seg": 0.15589, "aux.acc_seg": 68.51413, "loss": 0.46504, "time": 0.77367} -{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.31044, "decode.acc_seg": 70.72096, "aux.loss_seg": 0.16107, "aux.acc_seg": 68.28861, "loss": 0.47151, "time": 0.5128} -{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.31616, "decode.acc_seg": 70.13054, "aux.loss_seg": 0.15932, "aux.acc_seg": 68.12502, "loss": 0.47548, "time": 0.52212} -{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.31678, "decode.acc_seg": 70.99984, "aux.loss_seg": 0.15986, "aux.acc_seg": 69.11287, "loss": 0.47664, "time": 0.5454} -{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.32473, "decode.acc_seg": 71.2307, "aux.loss_seg": 0.16351, "aux.acc_seg": 69.17894, "loss": 0.48824, "time": 0.54595} -{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.31783, "decode.acc_seg": 70.26128, "aux.loss_seg": 0.16269, "aux.acc_seg": 68.09576, "loss": 0.48052, "time": 0.53756} -{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.32096, "decode.acc_seg": 71.28695, "aux.loss_seg": 0.15943, "aux.acc_seg": 69.43031, "loss": 0.4804, "time": 0.54579} -{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.31775, "decode.acc_seg": 71.48481, "aux.loss_seg": 0.16126, "aux.acc_seg": 69.54905, "loss": 0.47901, "time": 0.5192} -{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.32484, "decode.acc_seg": 70.73514, "aux.loss_seg": 0.16395, "aux.acc_seg": 68.76133, "loss": 0.48879, "time": 0.52693} -{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.31251, "decode.acc_seg": 70.51048, "aux.loss_seg": 0.15826, "aux.acc_seg": 68.37994, "loss": 0.47077, "time": 0.52522} -{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.30029, "decode.acc_seg": 71.96964, "aux.loss_seg": 0.15389, "aux.acc_seg": 69.97284, "loss": 0.45419, "time": 0.54531} -{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.32843, "decode.acc_seg": 71.75359, "aux.loss_seg": 0.16606, "aux.acc_seg": 69.53284, "loss": 0.49448, "time": 0.5444} -{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.32247, "decode.acc_seg": 70.75028, "aux.loss_seg": 0.16383, "aux.acc_seg": 68.65317, "loss": 0.4863, "time": 0.51576} -{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.32059, "decode.acc_seg": 70.78505, "aux.loss_seg": 0.16278, "aux.acc_seg": 68.66488, "loss": 0.48337, "time": 0.53108} -{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.30706, "decode.acc_seg": 71.70604, "aux.loss_seg": 0.15975, "aux.acc_seg": 69.48932, "loss": 0.46681, "time": 0.52297} -{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.32588, "decode.acc_seg": 70.01545, "aux.loss_seg": 0.16199, "aux.acc_seg": 67.97018, "loss": 0.48786, "time": 0.53877} -{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.29573, "decode.acc_seg": 71.64638, "aux.loss_seg": 0.14788, "aux.acc_seg": 69.74193, "loss": 0.44361, "time": 0.53805} -{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 22404, "data_time": 0.00814, "decode.loss_seg": 0.30869, "decode.acc_seg": 71.15223, "aux.loss_seg": 0.15489, "aux.acc_seg": 69.28308, "loss": 0.46357, "time": 0.54769} -{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.30778, "decode.acc_seg": 70.42925, "aux.loss_seg": 0.15421, "aux.acc_seg": 68.64838, "loss": 0.46198, "time": 0.51232} -{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.32064, "decode.acc_seg": 70.09454, "aux.loss_seg": 0.1626, "aux.acc_seg": 68.02878, "loss": 0.48324, "time": 0.54149} -{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.32126, "decode.acc_seg": 70.54713, "aux.loss_seg": 0.16292, "aux.acc_seg": 68.48624, "loss": 0.48418, "time": 0.53453} -{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.32499, "decode.acc_seg": 71.44431, "aux.loss_seg": 0.16184, "aux.acc_seg": 69.43315, "loss": 0.48683, "time": 0.52468} -{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.31846, "decode.acc_seg": 70.97392, "aux.loss_seg": 0.15834, "aux.acc_seg": 69.15167, "loss": 0.47681, "time": 0.53309} -{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.30046, "decode.acc_seg": 69.83191, "aux.loss_seg": 0.15179, "aux.acc_seg": 67.9813, "loss": 0.45225, "time": 0.51307} -{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.32576, "decode.acc_seg": 70.76931, "aux.loss_seg": 0.1604, "aux.acc_seg": 69.09211, "loss": 0.48616, "time": 0.51292} -{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 22404, "data_time": 0.24653, "decode.loss_seg": 0.30585, "decode.acc_seg": 70.87201, "aux.loss_seg": 0.15491, "aux.acc_seg": 68.95339, "loss": 0.46076, "time": 0.76054} -{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.28776, "decode.acc_seg": 70.78203, "aux.loss_seg": 0.14583, "aux.acc_seg": 69.07928, "loss": 0.4336, "time": 0.50572} -{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.33537, "decode.acc_seg": 71.07527, "aux.loss_seg": 0.16786, "aux.acc_seg": 69.23958, "loss": 0.50322, "time": 0.52109} -{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.30758, "decode.acc_seg": 71.50814, "aux.loss_seg": 0.16046, "aux.acc_seg": 69.23346, "loss": 0.46804, "time": 0.51589} -{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.31271, "decode.acc_seg": 69.96991, "aux.loss_seg": 0.16022, "aux.acc_seg": 67.93975, "loss": 0.47293, "time": 0.5131} -{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.30039, "decode.acc_seg": 70.49432, "aux.loss_seg": 0.15191, "aux.acc_seg": 68.64709, "loss": 0.4523, "time": 0.51282} -{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.30042, "decode.acc_seg": 70.68002, "aux.loss_seg": 0.15125, "aux.acc_seg": 68.90659, "loss": 0.45167, "time": 0.54722} -{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.3094, "decode.acc_seg": 70.36973, "aux.loss_seg": 0.15878, "aux.acc_seg": 68.27067, "loss": 0.46818, "time": 0.54201} -{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.31844, "decode.acc_seg": 72.54951, "aux.loss_seg": 0.16322, "aux.acc_seg": 70.56378, "loss": 0.48165, "time": 0.53024} -{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.31869, "decode.acc_seg": 70.71568, "aux.loss_seg": 0.1626, "aux.acc_seg": 68.63572, "loss": 0.48129, "time": 0.52768} -{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.30077, "decode.acc_seg": 71.03588, "aux.loss_seg": 0.15229, "aux.acc_seg": 69.13013, "loss": 0.45306, "time": 0.52625} -{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.30252, "decode.acc_seg": 70.83072, "aux.loss_seg": 0.15668, "aux.acc_seg": 68.66084, "loss": 0.4592, "time": 0.51307} -{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.31874, "decode.acc_seg": 71.31976, "aux.loss_seg": 0.16086, "aux.acc_seg": 69.28739, "loss": 0.4796, "time": 0.54275} -{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.31919, "decode.acc_seg": 70.6308, "aux.loss_seg": 0.16087, "aux.acc_seg": 68.79072, "loss": 0.48007, "time": 0.52847} -{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.3366, "decode.acc_seg": 69.93928, "aux.loss_seg": 0.16688, "aux.acc_seg": 67.82553, "loss": 0.50348, "time": 0.54458} -{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.3128, "decode.acc_seg": 71.05168, "aux.loss_seg": 0.15704, "aux.acc_seg": 69.31277, "loss": 0.46984, "time": 0.53614} -{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.31337, "decode.acc_seg": 71.48141, "aux.loss_seg": 0.15831, "aux.acc_seg": 69.19808, "loss": 0.47168, "time": 0.51924} -{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.32114, "decode.acc_seg": 71.34576, "aux.loss_seg": 0.15936, "aux.acc_seg": 69.47853, "loss": 0.48051, "time": 0.51138} -{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.30763, "decode.acc_seg": 71.56925, "aux.loss_seg": 0.15492, "aux.acc_seg": 69.741, "loss": 0.46255, "time": 0.53081} -{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.3048, "decode.acc_seg": 70.02104, "aux.loss_seg": 0.15586, "aux.acc_seg": 67.97132, "loss": 0.46065, "time": 0.52534} -{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.30792, "decode.acc_seg": 71.54246, "aux.loss_seg": 0.15664, "aux.acc_seg": 69.29771, "loss": 0.46456, "time": 0.51888} -{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.31186, "decode.acc_seg": 72.60289, "aux.loss_seg": 0.15491, "aux.acc_seg": 70.6289, "loss": 0.46677, "time": 0.53583} -{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.31177, "decode.acc_seg": 71.42679, "aux.loss_seg": 0.15474, "aux.acc_seg": 69.69227, "loss": 0.46651, "time": 0.54561} -{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.29837, "decode.acc_seg": 71.13642, "aux.loss_seg": 0.15441, "aux.acc_seg": 68.93963, "loss": 0.45278, "time": 0.54912} -{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.29662, "decode.acc_seg": 70.65014, "aux.loss_seg": 0.15224, "aux.acc_seg": 68.77263, "loss": 0.44886, "time": 0.54621} -{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 22404, "data_time": 0.25694, "decode.loss_seg": 0.31473, "decode.acc_seg": 70.6838, "aux.loss_seg": 0.16083, "aux.acc_seg": 68.50599, "loss": 0.47556, "time": 0.77636} -{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.32268, "decode.acc_seg": 70.26311, "aux.loss_seg": 0.16275, "aux.acc_seg": 68.17307, "loss": 0.48543, "time": 0.53099} -{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.31601, "decode.acc_seg": 70.40624, "aux.loss_seg": 0.15976, "aux.acc_seg": 68.35418, "loss": 0.47577, "time": 0.54805} -{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.30715, "decode.acc_seg": 70.73258, "aux.loss_seg": 0.1558, "aux.acc_seg": 68.67125, "loss": 0.46294, "time": 0.53477} -{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.30664, "decode.acc_seg": 72.26609, "aux.loss_seg": 0.15794, "aux.acc_seg": 70.076, "loss": 0.46457, "time": 0.54301} -{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.31489, "decode.acc_seg": 71.54257, "aux.loss_seg": 0.15945, "aux.acc_seg": 69.40965, "loss": 0.47435, "time": 0.51908} -{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.34106, "decode.acc_seg": 69.9436, "aux.loss_seg": 0.16861, "aux.acc_seg": 68.0975, "loss": 0.50967, "time": 0.511} -{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.30888, "decode.acc_seg": 72.32696, "aux.loss_seg": 0.15432, "aux.acc_seg": 70.50358, "loss": 0.4632, "time": 0.51193} -{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.29308, "decode.acc_seg": 70.64953, "aux.loss_seg": 0.14799, "aux.acc_seg": 68.72404, "loss": 0.44106, "time": 0.51109} -{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.30166, "decode.acc_seg": 71.80884, "aux.loss_seg": 0.15699, "aux.acc_seg": 69.58306, "loss": 0.45865, "time": 0.53985} -{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.29273, "decode.acc_seg": 71.6513, "aux.loss_seg": 0.15067, "aux.acc_seg": 69.62899, "loss": 0.4434, "time": 0.52587} -{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.29627, "decode.acc_seg": 71.88401, "aux.loss_seg": 0.1515, "aux.acc_seg": 69.91755, "loss": 0.44777, "time": 0.51384} -{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.28754, "decode.acc_seg": 71.08253, "aux.loss_seg": 0.14697, "aux.acc_seg": 69.10562, "loss": 0.43452, "time": 0.53208} -{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.3214, "decode.acc_seg": 71.13428, "aux.loss_seg": 0.15723, "aux.acc_seg": 69.30858, "loss": 0.47863, "time": 0.52595} -{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.32298, "decode.acc_seg": 70.65294, "aux.loss_seg": 0.16513, "aux.acc_seg": 68.48253, "loss": 0.48811, "time": 0.51082} -{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.31395, "decode.acc_seg": 69.48153, "aux.loss_seg": 0.15742, "aux.acc_seg": 67.73858, "loss": 0.47137, "time": 0.51426} -{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.30968, "decode.acc_seg": 71.44163, "aux.loss_seg": 0.15839, "aux.acc_seg": 69.57361, "loss": 0.46807, "time": 0.51248} -{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.29802, "decode.acc_seg": 70.81737, "aux.loss_seg": 0.14807, "aux.acc_seg": 68.92331, "loss": 0.44608, "time": 0.53944} -{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.29675, "decode.acc_seg": 71.36687, "aux.loss_seg": 0.15101, "aux.acc_seg": 69.41067, "loss": 0.44776, "time": 0.5475} -{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.28821, "decode.acc_seg": 70.78701, "aux.loss_seg": 0.14809, "aux.acc_seg": 68.69796, "loss": 0.4363, "time": 0.54227} -{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.32299, "decode.acc_seg": 71.231, "aux.loss_seg": 0.16339, "aux.acc_seg": 69.02444, "loss": 0.48638, "time": 0.52161} -{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.30336, "decode.acc_seg": 70.19839, "aux.loss_seg": 0.15545, "aux.acc_seg": 68.13568, "loss": 0.45881, "time": 0.51062} -{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.31147, "decode.acc_seg": 70.80091, "aux.loss_seg": 0.15703, "aux.acc_seg": 69.00814, "loss": 0.46851, "time": 0.54194} -{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.29834, "decode.acc_seg": 71.19507, "aux.loss_seg": 0.15293, "aux.acc_seg": 69.14683, "loss": 0.45126, "time": 0.52474} -{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.32451, "decode.acc_seg": 70.86045, "aux.loss_seg": 0.16386, "aux.acc_seg": 68.7854, "loss": 0.48837, "time": 0.5284} -{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4471, "mAcc": 0.5691, "aAcc": 0.8116, "IoU.wall": 0.7457, "IoU.building": 0.806, "IoU.sky": 0.9369, "IoU.floor": 0.7899, "IoU.tree": 0.7285, "IoU.ceiling": 0.8264, "IoU.road": 0.8194, "IoU.bed ": 0.8622, "IoU.windowpane": 0.5785, "IoU.grass": 0.6575, "IoU.cabinet": 0.5985, "IoU.sidewalk": 0.6052, "IoU.person": 0.768, "IoU.earth": 0.375, "IoU.door": 0.4602, "IoU.table": 0.5158, "IoU.mountain": 0.5617, "IoU.plant": 0.5167, "IoU.curtain": 0.6539, "IoU.chair": 0.5193, "IoU.car": 0.8148, "IoU.water": 0.5155, "IoU.painting": 0.7009, "IoU.sofa": 0.5913, "IoU.shelf": 0.4127, "IoU.house": 0.54, "IoU.sea": 0.6149, "IoU.mirror": 0.604, "IoU.rug": 0.5809, "IoU.field": 0.3223, "IoU.armchair": 0.3318, "IoU.seat": 0.6151, "IoU.fence": 0.4465, "IoU.desk": 0.4334, "IoU.rock": 0.2915, "IoU.wardrobe": 0.5039, "IoU.lamp": 0.5563, "IoU.bathtub": 0.6315, "IoU.railing": 0.336, "IoU.cushion": 0.5057, "IoU.base": 0.2541, "IoU.box": 0.2306, "IoU.column": 0.364, "IoU.signboard": 0.3287, "IoU.chest of drawers": 0.3825, "IoU.counter": 0.2494, "IoU.sand": 0.4528, "IoU.sink": 0.6472, "IoU.skyscraper": 0.5317, "IoU.fireplace": NaN, "IoU.refrigerator": 0.639, "IoU.grandstand": 0.4256, "IoU.path": 0.2032, "IoU.stairs": 0.2714, "IoU.runway": 0.7173, "IoU.case": 0.4667, "IoU.pool table": 0.9032, "IoU.pillow": 0.4789, "IoU.screen door": 0.6496, "IoU.stairway": 0.2968, "IoU.river": 0.132, "IoU.bridge": 0.6398, "IoU.bookcase": 0.321, "IoU.blind": NaN, "IoU.coffee table": 0.4703, "IoU.toilet": 0.7797, "IoU.flower": 0.3706, "IoU.book": 0.423, "IoU.hill": 0.0806, "IoU.bench": 0.4368, "IoU.countertop": 0.5039, "IoU.stove": 0.6542, "IoU.palm": 0.4543, "IoU.kitchen island": 0.3133, "IoU.computer": 0.701, "IoU.swivel chair": 0.434, "IoU.boat": 0.4608, "IoU.bar": 0.2655, "IoU.arcade machine": 0.8197, "IoU.hovel": 0.4322, "IoU.bus": 0.8002, "IoU.towel": 0.5554, "IoU.light": 0.4447, "IoU.truck": 0.321, "IoU.tower": 0.0404, "IoU.chandelier": 0.6286, "IoU.awning": 0.2268, "IoU.streetlight": 0.1751, "IoU.booth": 0.4928, "IoU.television receiver": NaN, "IoU.airplane": 0.547, "IoU.dirt track": 0.0159, "IoU.apparel": 0.2751, "IoU.pole": 0.1411, "IoU.land": 0.0301, "IoU.bannister": 0.0526, "IoU.escalator": 0.4332, "IoU.ottoman": 0.3286, "IoU.bottle": NaN, "IoU.buffet": 0.3778, "IoU.poster": 0.2674, "IoU.stage": 0.0753, "IoU.van": 0.4056, "IoU.ship": 0.7061, "IoU.fountain": 0.3251, "IoU.conveyer belt": 0.4824, "IoU.canopy": 0.174, "IoU.washer": 0.6974, "IoU.plaything": 0.2182, "IoU.swimming pool": 0.6205, "IoU.stool": 0.3512, "IoU.barrel": 0.5446, "IoU.basket": 0.2668, "IoU.waterfall": 0.3669, "IoU.tent": 0.7754, "IoU.bag": 0.0697, "IoU.minibike": 0.6864, "IoU.cradle": NaN, "IoU.oven": 0.2873, "IoU.ball": 0.265, "IoU.food": 0.5344, "IoU.step": 0.0918, "IoU.tank": 0.4942, "IoU.trade name": 0.1686, "IoU.microwave": 0.6322, "IoU.pot": 0.5023, "IoU.animal": NaN, "IoU.bicycle": 0.5025, "IoU.lake": 0.6605, "IoU.dishwasher": 0.4054, "IoU.screen": 0.6165, "IoU.blanket": 0.0859, "IoU.sculpture": 0.29, "IoU.hood": 0.5815, "IoU.sconce": 0.3255, "IoU.vase": 0.3058, "IoU.traffic light": 0.211, "IoU.tray": 0.0186, "IoU.ashcan": 0.3259, "IoU.fan": 0.5139, "IoU.pier": 0.2589, "IoU.crt screen": 0.0596, "IoU.plate": 0.5038, "IoU.monitor": 0.2797, "IoU.bulletin board": 0.3696, "IoU.shower": 0.0006, "IoU.radiator": 0.6246, "IoU.glass": 0.0907, "IoU.clock": 0.2786, "IoU.flag": 0.3151, "Acc.wall": 0.8619, "Acc.building": 0.922, "Acc.sky": 0.9728, "Acc.floor": 0.8823, "Acc.tree": 0.8397, "Acc.ceiling": 0.93, "Acc.road": 0.8797, "Acc.bed ": 0.943, "Acc.windowpane": 0.7265, "Acc.grass": 0.7438, "Acc.cabinet": 0.7361, "Acc.sidewalk": 0.8048, "Acc.person": 0.8779, "Acc.earth": 0.5419, "Acc.door": 0.6273, "Acc.table": 0.6834, "Acc.mountain": 0.7744, "Acc.plant": 0.6613, "Acc.curtain": 0.8398, "Acc.chair": 0.6535, "Acc.car": 0.9041, "Acc.water": 0.641, "Acc.painting": 0.8406, "Acc.sofa": 0.8307, "Acc.shelf": 0.5994, "Acc.house": 0.7072, "Acc.sea": 0.8378, "Acc.mirror": 0.7206, "Acc.rug": 0.7128, "Acc.field": 0.6581, "Acc.armchair": 0.4728, "Acc.seat": 0.7889, "Acc.fence": 0.6028, "Acc.desk": 0.6632, "Acc.rock": 0.434, "Acc.wardrobe": 0.6292, "Acc.lamp": 0.6428, "Acc.bathtub": 0.8116, "Acc.railing": 0.4397, "Acc.cushion": 0.6689, "Acc.base": 0.3772, "Acc.box": 0.2991, "Acc.column": 0.5022, "Acc.signboard": 0.4135, "Acc.chest of drawers": 0.5716, "Acc.counter": 0.3121, "Acc.sand": 0.5014, "Acc.sink": 0.7142, "Acc.skyscraper": 0.6498, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8141, "Acc.grandstand": 0.668, "Acc.path": 0.2985, "Acc.stairs": 0.3292, "Acc.runway": 0.9373, "Acc.case": 0.5444, "Acc.pool table": 0.9538, "Acc.pillow": 0.5447, "Acc.screen door": 0.7607, "Acc.stairway": 0.3752, "Acc.river": 0.3168, "Acc.bridge": 0.7291, "Acc.bookcase": 0.3903, "Acc.blind": NaN, "Acc.coffee table": 0.7827, "Acc.toilet": 0.8678, "Acc.flower": 0.5877, "Acc.book": 0.5729, "Acc.hill": 0.1105, "Acc.bench": 0.579, "Acc.countertop": 0.6835, "Acc.stove": 0.7504, "Acc.palm": 0.6923, "Acc.kitchen island": 0.5504, "Acc.computer": 0.846, "Acc.swivel chair": 0.6109, "Acc.boat": 0.5701, "Acc.bar": 0.3565, "Acc.arcade machine": 0.8972, "Acc.hovel": 0.51, "Acc.bus": 0.9291, "Acc.towel": 0.6703, "Acc.light": 0.4748, "Acc.truck": 0.4967, "Acc.tower": 0.0495, "Acc.chandelier": 0.8499, "Acc.awning": 0.26, "Acc.streetlight": 0.2155, "Acc.booth": 0.58, "Acc.television receiver": NaN, "Acc.airplane": 0.6018, "Acc.dirt track": 0.0179, "Acc.apparel": 0.4187, "Acc.pole": 0.1804, "Acc.land": 0.0677, "Acc.bannister": 0.0716, "Acc.escalator": 0.5595, "Acc.ottoman": 0.4976, "Acc.bottle": NaN, "Acc.buffet": 0.4618, "Acc.poster": 0.3791, "Acc.stage": 0.3229, "Acc.van": 0.5105, "Acc.ship": 0.9556, "Acc.fountain": 0.3292, "Acc.conveyer belt": 0.6634, "Acc.canopy": 0.2771, "Acc.washer": 0.7878, "Acc.plaything": 0.4033, "Acc.swimming pool": 0.8534, "Acc.stool": 0.396, "Acc.barrel": 0.63, "Acc.basket": 0.3638, "Acc.waterfall": 0.4274, "Acc.tent": 0.9878, "Acc.bag": 0.0825, "Acc.minibike": 0.8664, "Acc.cradle": NaN, "Acc.oven": 0.3639, "Acc.ball": 0.4839, "Acc.food": 0.6642, "Acc.step": 0.1049, "Acc.tank": 0.5802, "Acc.trade name": 0.1853, "Acc.microwave": 0.7365, "Acc.pot": 0.5497, "Acc.animal": NaN, "Acc.bicycle": 0.7442, "Acc.lake": 0.6687, "Acc.dishwasher": 0.6447, "Acc.screen": 0.8593, "Acc.blanket": 0.0971, "Acc.sculpture": 0.5791, "Acc.hood": 0.6309, "Acc.sconce": 0.3978, "Acc.vase": 0.4251, "Acc.traffic light": 0.3218, "Acc.tray": 0.0254, "Acc.ashcan": 0.4443, "Acc.fan": 0.6484, "Acc.pier": 0.4811, "Acc.crt screen": 0.1125, "Acc.plate": 0.7017, "Acc.monitor": 0.343, "Acc.bulletin board": 0.5855, "Acc.shower": 0.0006, "Acc.radiator": 0.7159, "Acc.glass": 0.0966, "Acc.clock": 0.3094, "Acc.flag": 0.3373} -{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 22404, "data_time": 1.55484, "decode.loss_seg": 0.30347, "decode.acc_seg": 72.42462, "aux.loss_seg": 0.15629, "aux.acc_seg": 70.21985, "loss": 0.45976, "time": 2.05822} -{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.29979, "decode.acc_seg": 70.75426, "aux.loss_seg": 0.15426, "aux.acc_seg": 68.65037, "loss": 0.45406, "time": 0.52814} -{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.29696, "decode.acc_seg": 71.32055, "aux.loss_seg": 0.15309, "aux.acc_seg": 69.18898, "loss": 0.45005, "time": 0.529} -{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.32115, "decode.acc_seg": 70.09274, "aux.loss_seg": 0.16239, "aux.acc_seg": 67.95811, "loss": 0.48353, "time": 0.52194} -{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.31438, "decode.acc_seg": 71.31014, "aux.loss_seg": 0.15935, "aux.acc_seg": 69.42461, "loss": 0.47373, "time": 0.51067} -{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.31594, "decode.acc_seg": 72.71863, "aux.loss_seg": 0.15944, "aux.acc_seg": 70.60794, "loss": 0.47538, "time": 0.52691} -{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.29038, "decode.acc_seg": 70.07685, "aux.loss_seg": 0.14662, "aux.acc_seg": 68.21303, "loss": 0.43701, "time": 0.54345} -{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.29977, "decode.acc_seg": 70.79461, "aux.loss_seg": 0.15436, "aux.acc_seg": 68.86025, "loss": 0.45413, "time": 0.51862} -{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 22404, "data_time": 0.00618, "decode.loss_seg": 0.3021, "decode.acc_seg": 71.82941, "aux.loss_seg": 0.15221, "aux.acc_seg": 70.07312, "loss": 0.45431, "time": 0.53508} -{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.30133, "decode.acc_seg": 70.41992, "aux.loss_seg": 0.15243, "aux.acc_seg": 68.16953, "loss": 0.45376, "time": 0.54385} -{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.2969, "decode.acc_seg": 70.75105, "aux.loss_seg": 0.15153, "aux.acc_seg": 68.85127, "loss": 0.44843, "time": 0.53572} -{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.2942, "decode.acc_seg": 70.53444, "aux.loss_seg": 0.14986, "aux.acc_seg": 68.48406, "loss": 0.44406, "time": 0.51615} -{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.29114, "decode.acc_seg": 71.16872, "aux.loss_seg": 0.1487, "aux.acc_seg": 69.11546, "loss": 0.43984, "time": 0.54648} -{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.30806, "decode.acc_seg": 71.83058, "aux.loss_seg": 0.15599, "aux.acc_seg": 69.71958, "loss": 0.46405, "time": 0.52278} -{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.31301, "decode.acc_seg": 71.90892, "aux.loss_seg": 0.16083, "aux.acc_seg": 69.765, "loss": 0.47384, "time": 0.51168} -{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 22404, "data_time": 0.00629, "decode.loss_seg": 0.32343, "decode.acc_seg": 70.38756, "aux.loss_seg": 0.16368, "aux.acc_seg": 68.43655, "loss": 0.48711, "time": 0.50775} -{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.30789, "decode.acc_seg": 70.96774, "aux.loss_seg": 0.15505, "aux.acc_seg": 68.86528, "loss": 0.46294, "time": 0.51608} -{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.29418, "decode.acc_seg": 71.48326, "aux.loss_seg": 0.15137, "aux.acc_seg": 69.51285, "loss": 0.44556, "time": 0.51204} -{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.27891, "decode.acc_seg": 72.47646, "aux.loss_seg": 0.14424, "aux.acc_seg": 70.48811, "loss": 0.42315, "time": 0.53792} -{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.3008, "decode.acc_seg": 71.29816, "aux.loss_seg": 0.14929, "aux.acc_seg": 69.57839, "loss": 0.45009, "time": 0.52084} -{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.29969, "decode.acc_seg": 71.49428, "aux.loss_seg": 0.14821, "aux.acc_seg": 69.99416, "loss": 0.4479, "time": 0.50901} -{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.31063, "decode.acc_seg": 70.84055, "aux.loss_seg": 0.15748, "aux.acc_seg": 68.92937, "loss": 0.46811, "time": 0.53827} -{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.31176, "decode.acc_seg": 71.99871, "aux.loss_seg": 0.16191, "aux.acc_seg": 69.82265, "loss": 0.47367, "time": 0.54542} -{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.31986, "decode.acc_seg": 71.65388, "aux.loss_seg": 0.15982, "aux.acc_seg": 69.65362, "loss": 0.47968, "time": 0.5265} -{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.29897, "decode.acc_seg": 71.87483, "aux.loss_seg": 0.15254, "aux.acc_seg": 69.87157, "loss": 0.45152, "time": 0.51144} -{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 22404, "data_time": 0.24772, "decode.loss_seg": 0.30946, "decode.acc_seg": 69.827, "aux.loss_seg": 0.15697, "aux.acc_seg": 67.79391, "loss": 0.46644, "time": 0.74824} -{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.28661, "decode.acc_seg": 70.15322, "aux.loss_seg": 0.14731, "aux.acc_seg": 67.97785, "loss": 0.43392, "time": 0.50646} -{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.28827, "decode.acc_seg": 69.97924, "aux.loss_seg": 0.14899, "aux.acc_seg": 67.96282, "loss": 0.43726, "time": 0.5135} -{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.31441, "decode.acc_seg": 73.0107, "aux.loss_seg": 0.16532, "aux.acc_seg": 70.74074, "loss": 0.47973, "time": 0.51522} -{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.29649, "decode.acc_seg": 69.2609, "aux.loss_seg": 0.15326, "aux.acc_seg": 67.18645, "loss": 0.44975, "time": 0.50644} -{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.28202, "decode.acc_seg": 70.98178, "aux.loss_seg": 0.14785, "aux.acc_seg": 68.88552, "loss": 0.42987, "time": 0.50844} -{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.28074, "decode.acc_seg": 73.07295, "aux.loss_seg": 0.1461, "aux.acc_seg": 70.99987, "loss": 0.42685, "time": 0.51623} -{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.29817, "decode.acc_seg": 71.10905, "aux.loss_seg": 0.15334, "aux.acc_seg": 68.99735, "loss": 0.45151, "time": 0.5179} -{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.30656, "decode.acc_seg": 72.00191, "aux.loss_seg": 0.15307, "aux.acc_seg": 70.02374, "loss": 0.45963, "time": 0.5259} -{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.32317, "decode.acc_seg": 71.81499, "aux.loss_seg": 0.16417, "aux.acc_seg": 69.76326, "loss": 0.48735, "time": 0.52162} -{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.30039, "decode.acc_seg": 72.39975, "aux.loss_seg": 0.15223, "aux.acc_seg": 70.53093, "loss": 0.45262, "time": 0.51107} -{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.29678, "decode.acc_seg": 72.24959, "aux.loss_seg": 0.15323, "aux.acc_seg": 70.14445, "loss": 0.45002, "time": 0.53047} -{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.29, "decode.acc_seg": 72.79923, "aux.loss_seg": 0.15008, "aux.acc_seg": 70.61783, "loss": 0.44008, "time": 0.52064} -{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.28588, "decode.acc_seg": 70.21759, "aux.loss_seg": 0.14847, "aux.acc_seg": 68.2312, "loss": 0.43434, "time": 0.52366} -{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.28468, "decode.acc_seg": 69.24356, "aux.loss_seg": 0.14618, "aux.acc_seg": 67.31946, "loss": 0.43085, "time": 0.54347} -{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.29423, "decode.acc_seg": 72.32661, "aux.loss_seg": 0.15131, "aux.acc_seg": 70.35311, "loss": 0.44553, "time": 0.52355} -{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.28554, "decode.acc_seg": 70.67657, "aux.loss_seg": 0.14622, "aux.acc_seg": 68.81764, "loss": 0.43176, "time": 0.50658} -{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.30277, "decode.acc_seg": 70.4462, "aux.loss_seg": 0.15406, "aux.acc_seg": 68.58621, "loss": 0.45683, "time": 0.50922} -{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.28649, "decode.acc_seg": 71.32457, "aux.loss_seg": 0.14657, "aux.acc_seg": 69.4573, "loss": 0.43306, "time": 0.52159} -{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.27258, "decode.acc_seg": 71.68687, "aux.loss_seg": 0.13956, "aux.acc_seg": 69.85997, "loss": 0.41214, "time": 0.51308} -{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.30979, "decode.acc_seg": 71.93115, "aux.loss_seg": 0.15567, "aux.acc_seg": 69.87205, "loss": 0.46546, "time": 0.52727} -{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.31007, "decode.acc_seg": 70.87002, "aux.loss_seg": 0.15561, "aux.acc_seg": 68.9053, "loss": 0.46568, "time": 0.54023} -{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.29263, "decode.acc_seg": 69.49292, "aux.loss_seg": 0.14686, "aux.acc_seg": 67.65111, "loss": 0.43949, "time": 0.52161} -{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.2916, "decode.acc_seg": 70.51605, "aux.loss_seg": 0.14897, "aux.acc_seg": 68.49271, "loss": 0.44057, "time": 0.53409} -{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.31256, "decode.acc_seg": 72.38216, "aux.loss_seg": 0.15735, "aux.acc_seg": 70.30797, "loss": 0.46991, "time": 0.52719} -{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 22404, "data_time": 0.25918, "decode.loss_seg": 0.28808, "decode.acc_seg": 72.81291, "aux.loss_seg": 0.14698, "aux.acc_seg": 70.88781, "loss": 0.43505, "time": 0.76941} -{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.27802, "decode.acc_seg": 71.2604, "aux.loss_seg": 0.14055, "aux.acc_seg": 69.41516, "loss": 0.41857, "time": 0.52332} -{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.27595, "decode.acc_seg": 71.38863, "aux.loss_seg": 0.14294, "aux.acc_seg": 69.35736, "loss": 0.41889, "time": 0.51101} -{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.29493, "decode.acc_seg": 71.8474, "aux.loss_seg": 0.14807, "aux.acc_seg": 70.13257, "loss": 0.443, "time": 0.50731} -{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 22404, "data_time": 0.00621, "decode.loss_seg": 0.29678, "decode.acc_seg": 71.09388, "aux.loss_seg": 0.15552, "aux.acc_seg": 68.92193, "loss": 0.45229, "time": 0.52586} -{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.30007, "decode.acc_seg": 72.23978, "aux.loss_seg": 0.15371, "aux.acc_seg": 70.17903, "loss": 0.45378, "time": 0.51143} -{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.3013, "decode.acc_seg": 71.78298, "aux.loss_seg": 0.15269, "aux.acc_seg": 69.86757, "loss": 0.45399, "time": 0.50679} -{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 22404, "data_time": 0.00617, "decode.loss_seg": 0.2956, "decode.acc_seg": 71.86148, "aux.loss_seg": 0.15103, "aux.acc_seg": 70.02165, "loss": 0.44663, "time": 0.52658} -{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 22404, "data_time": 0.00617, "decode.loss_seg": 0.2975, "decode.acc_seg": 72.45912, "aux.loss_seg": 0.15433, "aux.acc_seg": 70.27445, "loss": 0.45182, "time": 0.50956} -{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.31106, "decode.acc_seg": 70.94544, "aux.loss_seg": 0.15735, "aux.acc_seg": 68.83046, "loss": 0.46841, "time": 0.52295} -{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.29775, "decode.acc_seg": 72.32052, "aux.loss_seg": 0.15038, "aux.acc_seg": 70.58085, "loss": 0.44812, "time": 0.53877} -{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.28506, "decode.acc_seg": 70.49694, "aux.loss_seg": 0.14988, "aux.acc_seg": 68.25267, "loss": 0.43494, "time": 0.52047} -{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.29325, "decode.acc_seg": 70.91063, "aux.loss_seg": 0.15028, "aux.acc_seg": 68.81163, "loss": 0.44353, "time": 0.52997} -{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.29215, "decode.acc_seg": 71.25607, "aux.loss_seg": 0.14815, "aux.acc_seg": 69.43049, "loss": 0.4403, "time": 0.50901} -{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.28572, "decode.acc_seg": 72.01619, "aux.loss_seg": 0.14837, "aux.acc_seg": 69.8546, "loss": 0.43409, "time": 0.50559} -{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.28387, "decode.acc_seg": 71.45231, "aux.loss_seg": 0.14592, "aux.acc_seg": 69.45249, "loss": 0.42979, "time": 0.50821} -{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.30456, "decode.acc_seg": 72.90734, "aux.loss_seg": 0.1563, "aux.acc_seg": 70.80689, "loss": 0.46085, "time": 0.50964} -{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.29809, "decode.acc_seg": 68.85537, "aux.loss_seg": 0.1522, "aux.acc_seg": 66.71283, "loss": 0.4503, "time": 0.51235} -{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.29386, "decode.acc_seg": 72.18719, "aux.loss_seg": 0.14914, "aux.acc_seg": 70.39265, "loss": 0.44301, "time": 0.51178} -{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.31658, "decode.acc_seg": 69.85312, "aux.loss_seg": 0.15866, "aux.acc_seg": 68.11881, "loss": 0.47524, "time": 0.51846} -{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.30262, "decode.acc_seg": 72.15099, "aux.loss_seg": 0.1556, "aux.acc_seg": 69.98447, "loss": 0.45822, "time": 0.51878} -{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.29662, "decode.acc_seg": 71.40865, "aux.loss_seg": 0.14901, "aux.acc_seg": 69.48552, "loss": 0.44563, "time": 0.53049} -{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.30875, "decode.acc_seg": 71.08493, "aux.loss_seg": 0.15669, "aux.acc_seg": 69.28221, "loss": 0.46544, "time": 0.52733} -{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.29824, "decode.acc_seg": 70.35138, "aux.loss_seg": 0.15397, "aux.acc_seg": 68.0808, "loss": 0.45221, "time": 0.51748} -{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.30253, "decode.acc_seg": 70.97667, "aux.loss_seg": 0.15281, "aux.acc_seg": 69.011, "loss": 0.45534, "time": 0.52839} -{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 22404, "data_time": 0.24589, "decode.loss_seg": 0.3036, "decode.acc_seg": 70.88784, "aux.loss_seg": 0.15658, "aux.acc_seg": 68.64916, "loss": 0.46018, "time": 0.77201} -{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.27564, "decode.acc_seg": 73.1165, "aux.loss_seg": 0.14012, "aux.acc_seg": 71.22828, "loss": 0.41576, "time": 0.5135} -{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.28912, "decode.acc_seg": 71.2135, "aux.loss_seg": 0.14965, "aux.acc_seg": 69.16214, "loss": 0.43877, "time": 0.53538} -{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.27658, "decode.acc_seg": 70.96454, "aux.loss_seg": 0.1428, "aux.acc_seg": 69.016, "loss": 0.41937, "time": 0.51092} -{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.28522, "decode.acc_seg": 72.27064, "aux.loss_seg": 0.14709, "aux.acc_seg": 70.37643, "loss": 0.43231, "time": 0.51122} -{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.29569, "decode.acc_seg": 72.23552, "aux.loss_seg": 0.14681, "aux.acc_seg": 70.50639, "loss": 0.4425, "time": 0.50832} -{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.28994, "decode.acc_seg": 70.55171, "aux.loss_seg": 0.14768, "aux.acc_seg": 68.7774, "loss": 0.43762, "time": 0.51832} -{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.28587, "decode.acc_seg": 72.13008, "aux.loss_seg": 0.14737, "aux.acc_seg": 70.15003, "loss": 0.43324, "time": 0.52212} -{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.2981, "decode.acc_seg": 70.6601, "aux.loss_seg": 0.15351, "aux.acc_seg": 68.58527, "loss": 0.45161, "time": 0.50866} -{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.29931, "decode.acc_seg": 71.38758, "aux.loss_seg": 0.14952, "aux.acc_seg": 69.7724, "loss": 0.44883, "time": 0.51735} -{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.27605, "decode.acc_seg": 71.79897, "aux.loss_seg": 0.14541, "aux.acc_seg": 69.6273, "loss": 0.42146, "time": 0.51511} -{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.30715, "decode.acc_seg": 71.29594, "aux.loss_seg": 0.15583, "aux.acc_seg": 69.27598, "loss": 0.46298, "time": 0.5211} -{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.2902, "decode.acc_seg": 72.48803, "aux.loss_seg": 0.14483, "aux.acc_seg": 70.61595, "loss": 0.43503, "time": 0.52521} -{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.29357, "decode.acc_seg": 71.69836, "aux.loss_seg": 0.15083, "aux.acc_seg": 69.73723, "loss": 0.4444, "time": 0.53534} -{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.29979, "decode.acc_seg": 69.92555, "aux.loss_seg": 0.153, "aux.acc_seg": 67.93282, "loss": 0.45279, "time": 0.50641} -{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.29488, "decode.acc_seg": 71.01043, "aux.loss_seg": 0.15162, "aux.acc_seg": 68.89415, "loss": 0.44651, "time": 0.51537} -{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.29106, "decode.acc_seg": 72.29204, "aux.loss_seg": 0.14744, "aux.acc_seg": 70.41882, "loss": 0.4385, "time": 0.50897} -{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.30537, "decode.acc_seg": 70.04467, "aux.loss_seg": 0.15581, "aux.acc_seg": 67.93163, "loss": 0.46118, "time": 0.53855} -{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.31622, "decode.acc_seg": 71.52576, "aux.loss_seg": 0.16104, "aux.acc_seg": 69.57075, "loss": 0.47726, "time": 0.51884} -{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.28933, "decode.acc_seg": 72.2571, "aux.loss_seg": 0.14702, "aux.acc_seg": 70.23056, "loss": 0.43635, "time": 0.53098} -{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.301, "decode.acc_seg": 71.56152, "aux.loss_seg": 0.15239, "aux.acc_seg": 69.56671, "loss": 0.45339, "time": 0.51775} -{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.29322, "decode.acc_seg": 70.68754, "aux.loss_seg": 0.14962, "aux.acc_seg": 68.77593, "loss": 0.44285, "time": 0.51725} -{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.30966, "decode.acc_seg": 71.49172, "aux.loss_seg": 0.15598, "aux.acc_seg": 69.76715, "loss": 0.46565, "time": 0.51242} -{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.30598, "decode.acc_seg": 69.53855, "aux.loss_seg": 0.15406, "aux.acc_seg": 67.55073, "loss": 0.46003, "time": 0.51527} -{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.30628, "decode.acc_seg": 71.19769, "aux.loss_seg": 0.15332, "aux.acc_seg": 69.31756, "loss": 0.4596, "time": 0.53078} -{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 22404, "data_time": 0.25143, "decode.loss_seg": 0.29584, "decode.acc_seg": 71.91373, "aux.loss_seg": 0.15226, "aux.acc_seg": 69.97048, "loss": 0.4481, "time": 0.76188} -{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.28281, "decode.acc_seg": 71.80269, "aux.loss_seg": 0.14805, "aux.acc_seg": 69.73612, "loss": 0.43086, "time": 0.51622} -{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.27572, "decode.acc_seg": 71.85683, "aux.loss_seg": 0.14119, "aux.acc_seg": 70.18705, "loss": 0.41692, "time": 0.51626} -{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.26546, "decode.acc_seg": 73.31568, "aux.loss_seg": 0.13598, "aux.acc_seg": 71.27401, "loss": 0.40144, "time": 0.51107} -{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.28088, "decode.acc_seg": 71.58561, "aux.loss_seg": 0.14563, "aux.acc_seg": 69.4433, "loss": 0.42651, "time": 0.51651} -{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.27104, "decode.acc_seg": 70.96639, "aux.loss_seg": 0.14082, "aux.acc_seg": 68.97623, "loss": 0.41187, "time": 0.53025} -{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.28594, "decode.acc_seg": 71.81419, "aux.loss_seg": 0.14951, "aux.acc_seg": 69.68037, "loss": 0.43545, "time": 0.51022} -{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.27568, "decode.acc_seg": 70.58115, "aux.loss_seg": 0.14091, "aux.acc_seg": 68.7108, "loss": 0.4166, "time": 0.52303} -{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.30211, "decode.acc_seg": 72.36987, "aux.loss_seg": 0.15285, "aux.acc_seg": 70.23643, "loss": 0.45496, "time": 0.54262} -{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.30833, "decode.acc_seg": 72.85207, "aux.loss_seg": 0.15374, "aux.acc_seg": 71.05138, "loss": 0.46207, "time": 0.50982} -{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.2972, "decode.acc_seg": 70.57897, "aux.loss_seg": 0.15233, "aux.acc_seg": 68.5479, "loss": 0.44953, "time": 0.52915} -{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.28886, "decode.acc_seg": 71.98, "aux.loss_seg": 0.14905, "aux.acc_seg": 69.84978, "loss": 0.43791, "time": 0.5214} -{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.28277, "decode.acc_seg": 71.17654, "aux.loss_seg": 0.14535, "aux.acc_seg": 69.1856, "loss": 0.42813, "time": 0.53179} -{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.2677, "decode.acc_seg": 71.94361, "aux.loss_seg": 0.13468, "aux.acc_seg": 70.14699, "loss": 0.40238, "time": 0.51566} -{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.27689, "decode.acc_seg": 73.33049, "aux.loss_seg": 0.14081, "aux.acc_seg": 71.60299, "loss": 0.41771, "time": 0.52991} -{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.31143, "decode.acc_seg": 70.95399, "aux.loss_seg": 0.16134, "aux.acc_seg": 68.84917, "loss": 0.47277, "time": 0.52178} -{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.29128, "decode.acc_seg": 71.37745, "aux.loss_seg": 0.15067, "aux.acc_seg": 69.28263, "loss": 0.44195, "time": 0.5129} -{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.28348, "decode.acc_seg": 72.0848, "aux.loss_seg": 0.14365, "aux.acc_seg": 70.26847, "loss": 0.42713, "time": 0.52089} -{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.29418, "decode.acc_seg": 72.84103, "aux.loss_seg": 0.15307, "aux.acc_seg": 70.7995, "loss": 0.44725, "time": 0.51206} -{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.27584, "decode.acc_seg": 71.05742, "aux.loss_seg": 0.14265, "aux.acc_seg": 69.21185, "loss": 0.41848, "time": 0.5087} -{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.2874, "decode.acc_seg": 71.0378, "aux.loss_seg": 0.14921, "aux.acc_seg": 68.75542, "loss": 0.43661, "time": 0.51485} -{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.29334, "decode.acc_seg": 71.45957, "aux.loss_seg": 0.14785, "aux.acc_seg": 69.72695, "loss": 0.44119, "time": 0.54243} -{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.30095, "decode.acc_seg": 71.24422, "aux.loss_seg": 0.15741, "aux.acc_seg": 68.77741, "loss": 0.45836, "time": 0.54013} -{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.29972, "decode.acc_seg": 71.76819, "aux.loss_seg": 0.15182, "aux.acc_seg": 69.90059, "loss": 0.45154, "time": 0.51254} -{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.29918, "decode.acc_seg": 72.39659, "aux.loss_seg": 0.15085, "aux.acc_seg": 70.42378, "loss": 0.45003, "time": 0.51781} -{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.2989, "decode.acc_seg": 72.0368, "aux.loss_seg": 0.14942, "aux.acc_seg": 70.17681, "loss": 0.44832, "time": 0.51612} -{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 22404, "data_time": 0.24829, "decode.loss_seg": 0.28264, "decode.acc_seg": 71.64222, "aux.loss_seg": 0.14523, "aux.acc_seg": 69.72926, "loss": 0.42787, "time": 0.76757} -{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.28092, "decode.acc_seg": 71.88953, "aux.loss_seg": 0.14586, "aux.acc_seg": 69.84112, "loss": 0.42678, "time": 0.51487} -{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.27607, "decode.acc_seg": 73.81046, "aux.loss_seg": 0.14148, "aux.acc_seg": 71.90155, "loss": 0.41755, "time": 0.51797} -{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.28929, "decode.acc_seg": 71.66681, "aux.loss_seg": 0.14922, "aux.acc_seg": 69.45515, "loss": 0.43851, "time": 0.54073} -{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.28476, "decode.acc_seg": 72.54663, "aux.loss_seg": 0.14706, "aux.acc_seg": 70.5638, "loss": 0.43182, "time": 0.54633} -{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.28246, "decode.acc_seg": 72.32978, "aux.loss_seg": 0.14374, "aux.acc_seg": 70.64639, "loss": 0.4262, "time": 0.50764} -{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.28659, "decode.acc_seg": 71.03347, "aux.loss_seg": 0.14683, "aux.acc_seg": 68.84472, "loss": 0.43342, "time": 0.51454} -{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.28202, "decode.acc_seg": 70.38266, "aux.loss_seg": 0.14554, "aux.acc_seg": 68.50393, "loss": 0.42756, "time": 0.51154} -{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.28985, "decode.acc_seg": 72.33731, "aux.loss_seg": 0.14738, "aux.acc_seg": 70.46066, "loss": 0.43724, "time": 0.52953} -{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.27025, "decode.acc_seg": 71.02301, "aux.loss_seg": 0.13994, "aux.acc_seg": 69.13266, "loss": 0.41019, "time": 0.50973} -{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.28121, "decode.acc_seg": 71.24136, "aux.loss_seg": 0.14309, "aux.acc_seg": 69.33812, "loss": 0.4243, "time": 0.52987} -{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.2844, "decode.acc_seg": 71.31972, "aux.loss_seg": 0.14211, "aux.acc_seg": 69.64605, "loss": 0.42651, "time": 0.51424} -{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.29724, "decode.acc_seg": 71.16239, "aux.loss_seg": 0.15453, "aux.acc_seg": 69.18278, "loss": 0.45177, "time": 0.53414} -{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.27413, "decode.acc_seg": 69.73743, "aux.loss_seg": 0.14017, "aux.acc_seg": 67.79987, "loss": 0.4143, "time": 0.5306} -{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.27668, "decode.acc_seg": 71.92381, "aux.loss_seg": 0.14406, "aux.acc_seg": 69.81772, "loss": 0.42074, "time": 0.53166} -{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.27757, "decode.acc_seg": 72.86563, "aux.loss_seg": 0.14359, "aux.acc_seg": 70.92243, "loss": 0.42116, "time": 0.51854} -{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.28939, "decode.acc_seg": 72.66078, "aux.loss_seg": 0.15167, "aux.acc_seg": 70.48643, "loss": 0.44107, "time": 0.51433} -{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.31141, "decode.acc_seg": 70.80728, "aux.loss_seg": 0.1628, "aux.acc_seg": 68.49604, "loss": 0.47421, "time": 0.51106} -{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.27998, "decode.acc_seg": 72.42648, "aux.loss_seg": 0.14379, "aux.acc_seg": 70.63076, "loss": 0.42378, "time": 0.52832} -{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.29527, "decode.acc_seg": 71.15982, "aux.loss_seg": 0.14994, "aux.acc_seg": 69.11959, "loss": 0.44521, "time": 0.51311} -{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.28917, "decode.acc_seg": 71.38765, "aux.loss_seg": 0.14574, "aux.acc_seg": 69.54135, "loss": 0.43491, "time": 0.50996} -{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.28696, "decode.acc_seg": 70.49786, "aux.loss_seg": 0.14814, "aux.acc_seg": 68.35408, "loss": 0.4351, "time": 0.50888} -{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.3118, "decode.acc_seg": 72.07355, "aux.loss_seg": 0.1577, "aux.acc_seg": 69.99526, "loss": 0.4695, "time": 0.53821} -{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.28524, "decode.acc_seg": 71.6691, "aux.loss_seg": 0.14651, "aux.acc_seg": 69.56851, "loss": 0.43175, "time": 0.51} -{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.29163, "decode.acc_seg": 72.23163, "aux.loss_seg": 0.14777, "aux.acc_seg": 70.32161, "loss": 0.4394, "time": 0.52734} -{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 22404, "data_time": 0.24668, "decode.loss_seg": 0.27701, "decode.acc_seg": 72.04005, "aux.loss_seg": 0.13955, "aux.acc_seg": 70.20714, "loss": 0.41656, "time": 0.76321} -{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.26723, "decode.acc_seg": 69.47367, "aux.loss_seg": 0.13787, "aux.acc_seg": 67.57577, "loss": 0.4051, "time": 0.54058} -{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.28007, "decode.acc_seg": 72.25914, "aux.loss_seg": 0.14609, "aux.acc_seg": 70.11582, "loss": 0.42616, "time": 0.52843} -{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.29189, "decode.acc_seg": 70.91477, "aux.loss_seg": 0.15014, "aux.acc_seg": 68.86934, "loss": 0.44202, "time": 0.53883} -{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.28772, "decode.acc_seg": 72.72053, "aux.loss_seg": 0.14615, "aux.acc_seg": 70.66956, "loss": 0.43387, "time": 0.50879} -{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.29756, "decode.acc_seg": 72.22029, "aux.loss_seg": 0.15274, "aux.acc_seg": 70.14301, "loss": 0.4503, "time": 0.54099} -{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.27824, "decode.acc_seg": 71.64414, "aux.loss_seg": 0.14736, "aux.acc_seg": 69.26102, "loss": 0.4256, "time": 0.54537} -{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.28234, "decode.acc_seg": 71.52085, "aux.loss_seg": 0.14576, "aux.acc_seg": 69.49413, "loss": 0.4281, "time": 0.51782} -{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.28739, "decode.acc_seg": 71.82298, "aux.loss_seg": 0.14661, "aux.acc_seg": 69.78724, "loss": 0.434, "time": 0.51246} -{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.2854, "decode.acc_seg": 71.3158, "aux.loss_seg": 0.14569, "aux.acc_seg": 69.51994, "loss": 0.43109, "time": 0.52224} -{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.28969, "decode.acc_seg": 72.56485, "aux.loss_seg": 0.14746, "aux.acc_seg": 70.58275, "loss": 0.43715, "time": 0.53327} -{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.2842, "decode.acc_seg": 71.85308, "aux.loss_seg": 0.14874, "aux.acc_seg": 69.76112, "loss": 0.43294, "time": 0.54802} -{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.27963, "decode.acc_seg": 71.93051, "aux.loss_seg": 0.14425, "aux.acc_seg": 69.93016, "loss": 0.42388, "time": 0.52857} -{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.28048, "decode.acc_seg": 72.42863, "aux.loss_seg": 0.1435, "aux.acc_seg": 70.46068, "loss": 0.42398, "time": 0.51248} -{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27682, "decode.acc_seg": 70.39646, "aux.loss_seg": 0.14282, "aux.acc_seg": 68.57508, "loss": 0.41965, "time": 0.52651} -{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.29042, "decode.acc_seg": 71.88731, "aux.loss_seg": 0.14775, "aux.acc_seg": 69.80739, "loss": 0.43818, "time": 0.51773} -{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.28237, "decode.acc_seg": 72.9226, "aux.loss_seg": 0.14643, "aux.acc_seg": 70.94322, "loss": 0.4288, "time": 0.50507} -{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.29149, "decode.acc_seg": 72.79851, "aux.loss_seg": 0.14865, "aux.acc_seg": 70.86037, "loss": 0.44014, "time": 0.51954} -{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.27735, "decode.acc_seg": 73.5783, "aux.loss_seg": 0.14161, "aux.acc_seg": 71.69383, "loss": 0.41896, "time": 0.51013} -{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.29532, "decode.acc_seg": 71.53862, "aux.loss_seg": 0.15185, "aux.acc_seg": 69.52498, "loss": 0.44717, "time": 0.50911} -{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.28069, "decode.acc_seg": 71.79524, "aux.loss_seg": 0.14332, "aux.acc_seg": 69.93801, "loss": 0.42401, "time": 0.52243} -{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.27742, "decode.acc_seg": 71.68552, "aux.loss_seg": 0.1455, "aux.acc_seg": 69.47646, "loss": 0.42292, "time": 0.52741} -{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.3081, "decode.acc_seg": 71.47225, "aux.loss_seg": 0.15887, "aux.acc_seg": 69.26971, "loss": 0.46697, "time": 0.54357} -{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.28362, "decode.acc_seg": 71.04064, "aux.loss_seg": 0.14886, "aux.acc_seg": 68.79414, "loss": 0.43248, "time": 0.54595} -{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.26939, "decode.acc_seg": 72.41995, "aux.loss_seg": 0.13882, "aux.acc_seg": 70.46485, "loss": 0.4082, "time": 0.54161} -{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 22404, "data_time": 0.24558, "decode.loss_seg": 0.30075, "decode.acc_seg": 72.15041, "aux.loss_seg": 0.14999, "aux.acc_seg": 70.15102, "loss": 0.45074, "time": 0.76805} -{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.27625, "decode.acc_seg": 72.23344, "aux.loss_seg": 0.14333, "aux.acc_seg": 70.20587, "loss": 0.41958, "time": 0.52431} -{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.2819, "decode.acc_seg": 72.18957, "aux.loss_seg": 0.14639, "aux.acc_seg": 70.22937, "loss": 0.42829, "time": 0.511} -{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.26389, "decode.acc_seg": 72.34951, "aux.loss_seg": 0.13483, "aux.acc_seg": 70.48416, "loss": 0.39872, "time": 0.52932} -{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.26386, "decode.acc_seg": 72.25184, "aux.loss_seg": 0.13746, "aux.acc_seg": 70.28202, "loss": 0.40133, "time": 0.51419} -{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.25924, "decode.acc_seg": 73.04401, "aux.loss_seg": 0.13613, "aux.acc_seg": 70.98947, "loss": 0.39537, "time": 0.50789} -{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.27124, "decode.acc_seg": 71.91827, "aux.loss_seg": 0.13805, "aux.acc_seg": 70.05396, "loss": 0.40929, "time": 0.53926} -{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.27093, "decode.acc_seg": 72.4285, "aux.loss_seg": 0.141, "aux.acc_seg": 70.36395, "loss": 0.41193, "time": 0.53876} -{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.27514, "decode.acc_seg": 72.23927, "aux.loss_seg": 0.14422, "aux.acc_seg": 70.2572, "loss": 0.41937, "time": 0.53909} -{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.2854, "decode.acc_seg": 71.20646, "aux.loss_seg": 0.14403, "aux.acc_seg": 69.32307, "loss": 0.42944, "time": 0.52424} -{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.2749, "decode.acc_seg": 71.56117, "aux.loss_seg": 0.14106, "aux.acc_seg": 69.63666, "loss": 0.41595, "time": 0.52058} -{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 22404, "data_time": 0.00818, "decode.loss_seg": 0.27405, "decode.acc_seg": 71.83955, "aux.loss_seg": 0.14097, "aux.acc_seg": 70.05174, "loss": 0.41502, "time": 0.53496} -{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.2712, "decode.acc_seg": 70.63148, "aux.loss_seg": 0.14134, "aux.acc_seg": 68.69759, "loss": 0.41254, "time": 0.51337} -{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.29557, "decode.acc_seg": 71.34109, "aux.loss_seg": 0.14779, "aux.acc_seg": 69.69133, "loss": 0.44336, "time": 0.52081} -{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.27267, "decode.acc_seg": 72.54336, "aux.loss_seg": 0.14302, "aux.acc_seg": 70.46597, "loss": 0.41569, "time": 0.50888} -{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.29119, "decode.acc_seg": 71.47031, "aux.loss_seg": 0.15073, "aux.acc_seg": 69.44901, "loss": 0.44191, "time": 0.50951} -{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.27821, "decode.acc_seg": 71.14736, "aux.loss_seg": 0.14631, "aux.acc_seg": 69.07568, "loss": 0.42453, "time": 0.52864} -{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 22404, "data_time": 0.00827, "decode.loss_seg": 0.27345, "decode.acc_seg": 71.75764, "aux.loss_seg": 0.14001, "aux.acc_seg": 69.76192, "loss": 0.41346, "time": 0.53851} -{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 22404, "data_time": 0.00828, "decode.loss_seg": 0.2954, "decode.acc_seg": 71.19005, "aux.loss_seg": 0.15307, "aux.acc_seg": 68.86301, "loss": 0.44847, "time": 0.51833} -{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.28576, "decode.acc_seg": 70.42423, "aux.loss_seg": 0.14325, "aux.acc_seg": 68.77663, "loss": 0.42901, "time": 0.5161} -{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.29715, "decode.acc_seg": 71.36442, "aux.loss_seg": 0.15289, "aux.acc_seg": 69.23733, "loss": 0.45004, "time": 0.52075} -{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.27604, "decode.acc_seg": 71.63588, "aux.loss_seg": 0.1417, "aux.acc_seg": 69.65405, "loss": 0.41775, "time": 0.53912} -{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 22404, "data_time": 0.00845, "decode.loss_seg": 0.27995, "decode.acc_seg": 71.36498, "aux.loss_seg": 0.14554, "aux.acc_seg": 69.24944, "loss": 0.42549, "time": 0.52094} -{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 22404, "data_time": 0.00829, "decode.loss_seg": 0.2654, "decode.acc_seg": 72.09058, "aux.loss_seg": 0.13718, "aux.acc_seg": 70.32227, "loss": 0.40258, "time": 0.51448} -{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.27789, "decode.acc_seg": 70.39863, "aux.loss_seg": 0.14262, "aux.acc_seg": 68.47993, "loss": 0.42051, "time": 0.51346} -{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 22404, "data_time": 0.24814, "decode.loss_seg": 0.28336, "decode.acc_seg": 72.06456, "aux.loss_seg": 0.14525, "aux.acc_seg": 70.03442, "loss": 0.42862, "time": 0.74812} -{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.27885, "decode.acc_seg": 72.2332, "aux.loss_seg": 0.14394, "aux.acc_seg": 70.46417, "loss": 0.42279, "time": 0.50589} -{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25875, "decode.acc_seg": 70.24344, "aux.loss_seg": 0.1326, "aux.acc_seg": 68.26653, "loss": 0.39135, "time": 0.50976} -{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.26856, "decode.acc_seg": 70.6153, "aux.loss_seg": 0.13962, "aux.acc_seg": 68.62662, "loss": 0.40818, "time": 0.54248} -{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.26853, "decode.acc_seg": 72.296, "aux.loss_seg": 0.14053, "aux.acc_seg": 70.30771, "loss": 0.40906, "time": 0.52645} -{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27232, "decode.acc_seg": 71.28705, "aux.loss_seg": 0.14089, "aux.acc_seg": 69.33028, "loss": 0.4132, "time": 0.52209} -{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.28103, "decode.acc_seg": 72.46279, "aux.loss_seg": 0.14448, "aux.acc_seg": 70.51421, "loss": 0.42551, "time": 0.54836} -{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.26346, "decode.acc_seg": 70.58149, "aux.loss_seg": 0.13838, "aux.acc_seg": 68.65838, "loss": 0.40184, "time": 0.54512} -{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.25777, "decode.acc_seg": 73.57946, "aux.loss_seg": 0.13306, "aux.acc_seg": 71.68362, "loss": 0.39083, "time": 0.5112} -{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.28231, "decode.acc_seg": 70.98508, "aux.loss_seg": 0.14972, "aux.acc_seg": 68.7417, "loss": 0.43203, "time": 0.51196} -{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.26803, "decode.acc_seg": 73.04577, "aux.loss_seg": 0.14069, "aux.acc_seg": 71.01888, "loss": 0.40872, "time": 0.51268} -{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.26612, "decode.acc_seg": 72.12354, "aux.loss_seg": 0.13458, "aux.acc_seg": 70.39799, "loss": 0.4007, "time": 0.50827} -{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.2821, "decode.acc_seg": 71.70218, "aux.loss_seg": 0.146, "aux.acc_seg": 69.75644, "loss": 0.4281, "time": 0.51173} -{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.25878, "decode.acc_seg": 72.60792, "aux.loss_seg": 0.13666, "aux.acc_seg": 70.571, "loss": 0.39544, "time": 0.51164} -{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.2772, "decode.acc_seg": 71.06529, "aux.loss_seg": 0.14036, "aux.acc_seg": 69.3489, "loss": 0.41757, "time": 0.53698} -{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.26763, "decode.acc_seg": 73.45384, "aux.loss_seg": 0.14103, "aux.acc_seg": 71.41916, "loss": 0.40867, "time": 0.50882} -{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.26109, "decode.acc_seg": 72.01421, "aux.loss_seg": 0.1383, "aux.acc_seg": 69.81901, "loss": 0.39939, "time": 0.51051} -{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.29628, "decode.acc_seg": 70.56441, "aux.loss_seg": 0.15506, "aux.acc_seg": 68.12401, "loss": 0.45134, "time": 0.52474} -{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.29803, "decode.acc_seg": 71.1833, "aux.loss_seg": 0.15125, "aux.acc_seg": 69.2804, "loss": 0.44928, "time": 0.51594} -{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.28552, "decode.acc_seg": 73.31881, "aux.loss_seg": 0.14686, "aux.acc_seg": 71.23796, "loss": 0.43238, "time": 0.5367} -{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.28217, "decode.acc_seg": 71.16645, "aux.loss_seg": 0.14414, "aux.acc_seg": 69.15531, "loss": 0.4263, "time": 0.51679} -{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.28598, "decode.acc_seg": 70.76564, "aux.loss_seg": 0.14481, "aux.acc_seg": 68.95042, "loss": 0.43079, "time": 0.5153} -{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.2794, "decode.acc_seg": 71.44587, "aux.loss_seg": 0.14647, "aux.acc_seg": 69.28341, "loss": 0.42587, "time": 0.54587} -{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.29111, "decode.acc_seg": 70.63614, "aux.loss_seg": 0.14955, "aux.acc_seg": 68.53333, "loss": 0.44066, "time": 0.55156} -{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.29569, "decode.acc_seg": 70.45813, "aux.loss_seg": 0.15082, "aux.acc_seg": 68.31355, "loss": 0.44651, "time": 0.53631} -{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.27891, "decode.acc_seg": 72.844, "aux.loss_seg": 0.14286, "aux.acc_seg": 71.05058, "loss": 0.42176, "time": 0.53393} -{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 22404, "data_time": 0.24254, "decode.loss_seg": 0.25094, "decode.acc_seg": 72.28484, "aux.loss_seg": 0.13359, "aux.acc_seg": 70.17587, "loss": 0.38452, "time": 0.76027} -{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.27652, "decode.acc_seg": 71.3117, "aux.loss_seg": 0.14597, "aux.acc_seg": 69.27898, "loss": 0.42249, "time": 0.51261} -{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.27915, "decode.acc_seg": 73.19545, "aux.loss_seg": 0.14732, "aux.acc_seg": 70.9659, "loss": 0.42647, "time": 0.51175} -{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.27797, "decode.acc_seg": 70.80509, "aux.loss_seg": 0.14482, "aux.acc_seg": 68.66831, "loss": 0.4228, "time": 0.52048} -{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.266, "decode.acc_seg": 72.1383, "aux.loss_seg": 0.13862, "aux.acc_seg": 70.14211, "loss": 0.40462, "time": 0.51678} -{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.2699, "decode.acc_seg": 71.12458, "aux.loss_seg": 0.13812, "aux.acc_seg": 69.19962, "loss": 0.40802, "time": 0.51303} -{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.26925, "decode.acc_seg": 72.2138, "aux.loss_seg": 0.1404, "aux.acc_seg": 70.21708, "loss": 0.40965, "time": 0.509} -{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.26921, "decode.acc_seg": 73.15027, "aux.loss_seg": 0.13881, "aux.acc_seg": 71.30282, "loss": 0.40802, "time": 0.51273} -{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.26779, "decode.acc_seg": 69.826, "aux.loss_seg": 0.13589, "aux.acc_seg": 68.22686, "loss": 0.40369, "time": 0.51023} -{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.26319, "decode.acc_seg": 72.31137, "aux.loss_seg": 0.13837, "aux.acc_seg": 70.28578, "loss": 0.40157, "time": 0.51109} -{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.28664, "decode.acc_seg": 72.24854, "aux.loss_seg": 0.14899, "aux.acc_seg": 69.9927, "loss": 0.43562, "time": 0.52354} -{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.26616, "decode.acc_seg": 72.2977, "aux.loss_seg": 0.1368, "aux.acc_seg": 70.4826, "loss": 0.40296, "time": 0.51946} -{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.27956, "decode.acc_seg": 71.83445, "aux.loss_seg": 0.14425, "aux.acc_seg": 69.83662, "loss": 0.42381, "time": 0.53468} -{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.27595, "decode.acc_seg": 73.01342, "aux.loss_seg": 0.14026, "aux.acc_seg": 71.31781, "loss": 0.41621, "time": 0.53144} -{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.25751, "decode.acc_seg": 72.49183, "aux.loss_seg": 0.13469, "aux.acc_seg": 70.52808, "loss": 0.3922, "time": 0.54123} -{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.26412, "decode.acc_seg": 73.27827, "aux.loss_seg": 0.13918, "aux.acc_seg": 71.07197, "loss": 0.40329, "time": 0.51989} -{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.27528, "decode.acc_seg": 70.40803, "aux.loss_seg": 0.14071, "aux.acc_seg": 68.31914, "loss": 0.41599, "time": 0.51634} -{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.26134, "decode.acc_seg": 72.39495, "aux.loss_seg": 0.1358, "aux.acc_seg": 70.46038, "loss": 0.39714, "time": 0.50928} -{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.2712, "decode.acc_seg": 72.31092, "aux.loss_seg": 0.14402, "aux.acc_seg": 70.17533, "loss": 0.41522, "time": 0.50892} -{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.25964, "decode.acc_seg": 72.15193, "aux.loss_seg": 0.13951, "aux.acc_seg": 69.92904, "loss": 0.39914, "time": 0.51226} -{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.27026, "decode.acc_seg": 72.12775, "aux.loss_seg": 0.14249, "aux.acc_seg": 70.01742, "loss": 0.41275, "time": 0.52857} -{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.27391, "decode.acc_seg": 72.18618, "aux.loss_seg": 0.14152, "aux.acc_seg": 70.29577, "loss": 0.41543, "time": 0.5104} -{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.24728, "decode.acc_seg": 73.28155, "aux.loss_seg": 0.13099, "aux.acc_seg": 71.25192, "loss": 0.37827, "time": 0.5119} -{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.27714, "decode.acc_seg": 71.29221, "aux.loss_seg": 0.14188, "aux.acc_seg": 69.413, "loss": 0.41902, "time": 0.5214} -{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.25505, "decode.acc_seg": 72.16513, "aux.loss_seg": 0.13031, "aux.acc_seg": 70.35552, "loss": 0.38536, "time": 0.51368} -{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 22404, "data_time": 0.2441, "decode.loss_seg": 0.26883, "decode.acc_seg": 71.26919, "aux.loss_seg": 0.13816, "aux.acc_seg": 69.40958, "loss": 0.40699, "time": 0.75204} -{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.27515, "decode.acc_seg": 71.73337, "aux.loss_seg": 0.14522, "aux.acc_seg": 69.54163, "loss": 0.42037, "time": 0.53374} -{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.24912, "decode.acc_seg": 72.61166, "aux.loss_seg": 0.13173, "aux.acc_seg": 70.53774, "loss": 0.38085, "time": 0.51367} -{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.25265, "decode.acc_seg": 73.3791, "aux.loss_seg": 0.13434, "aux.acc_seg": 71.25322, "loss": 0.38699, "time": 0.51575} -{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.24646, "decode.acc_seg": 71.96266, "aux.loss_seg": 0.12852, "aux.acc_seg": 70.11702, "loss": 0.37498, "time": 0.51411} -{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.26571, "decode.acc_seg": 72.79162, "aux.loss_seg": 0.14012, "aux.acc_seg": 70.72358, "loss": 0.40584, "time": 0.51639} -{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.26604, "decode.acc_seg": 71.42075, "aux.loss_seg": 0.13667, "aux.acc_seg": 69.72116, "loss": 0.40271, "time": 0.53662} -{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.27968, "decode.acc_seg": 73.03159, "aux.loss_seg": 0.14249, "aux.acc_seg": 71.26706, "loss": 0.42217, "time": 0.52722} -{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.26323, "decode.acc_seg": 71.24061, "aux.loss_seg": 0.13825, "aux.acc_seg": 69.26534, "loss": 0.40148, "time": 0.52163} -{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.27323, "decode.acc_seg": 72.59474, "aux.loss_seg": 0.14047, "aux.acc_seg": 70.78547, "loss": 0.4137, "time": 0.52655} -{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.2771, "decode.acc_seg": 72.80134, "aux.loss_seg": 0.14511, "aux.acc_seg": 70.71609, "loss": 0.42222, "time": 0.51204} -{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.26619, "decode.acc_seg": 71.45661, "aux.loss_seg": 0.13993, "aux.acc_seg": 69.51592, "loss": 0.40612, "time": 0.50993} -{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.2903, "decode.acc_seg": 72.12098, "aux.loss_seg": 0.14974, "aux.acc_seg": 70.15912, "loss": 0.44004, "time": 0.50957} -{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.26753, "decode.acc_seg": 70.79119, "aux.loss_seg": 0.13768, "aux.acc_seg": 68.92236, "loss": 0.40522, "time": 0.50984} -{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.27847, "decode.acc_seg": 72.02166, "aux.loss_seg": 0.14582, "aux.acc_seg": 69.98237, "loss": 0.42429, "time": 0.51234} -{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.29406, "decode.acc_seg": 71.79562, "aux.loss_seg": 0.1502, "aux.acc_seg": 69.92996, "loss": 0.44426, "time": 0.51061} -{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.27231, "decode.acc_seg": 72.60717, "aux.loss_seg": 0.14229, "aux.acc_seg": 70.5821, "loss": 0.4146, "time": 0.50782} -{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 22404, "data_time": 0.0081, "decode.loss_seg": 0.26244, "decode.acc_seg": 71.65558, "aux.loss_seg": 0.13746, "aux.acc_seg": 69.56195, "loss": 0.3999, "time": 0.52777} -{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.27019, "decode.acc_seg": 71.68677, "aux.loss_seg": 0.1377, "aux.acc_seg": 69.8829, "loss": 0.40789, "time": 0.5128} -{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.27953, "decode.acc_seg": 72.28599, "aux.loss_seg": 0.14271, "aux.acc_seg": 70.28936, "loss": 0.42224, "time": 0.51321} -{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.27198, "decode.acc_seg": 71.55512, "aux.loss_seg": 0.14384, "aux.acc_seg": 69.50686, "loss": 0.41582, "time": 0.53457} -{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.27953, "decode.acc_seg": 71.32617, "aux.loss_seg": 0.1427, "aux.acc_seg": 69.32249, "loss": 0.42223, "time": 0.51146} -{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.27286, "decode.acc_seg": 71.31156, "aux.loss_seg": 0.14039, "aux.acc_seg": 69.31153, "loss": 0.41326, "time": 0.51179} -{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.27332, "decode.acc_seg": 71.54152, "aux.loss_seg": 0.13822, "aux.acc_seg": 69.77824, "loss": 0.41154, "time": 0.51417} -{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.27706, "decode.acc_seg": 72.07827, "aux.loss_seg": 0.14346, "aux.acc_seg": 70.05825, "loss": 0.42052, "time": 0.5209} -{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 22404, "data_time": 0.24808, "decode.loss_seg": 0.25743, "decode.acc_seg": 73.0614, "aux.loss_seg": 0.13378, "aux.acc_seg": 71.11075, "loss": 0.39121, "time": 0.75766} -{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.26479, "decode.acc_seg": 73.37661, "aux.loss_seg": 0.13847, "aux.acc_seg": 71.47469, "loss": 0.40326, "time": 0.5121} -{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.25493, "decode.acc_seg": 72.5682, "aux.loss_seg": 0.13401, "aux.acc_seg": 70.51217, "loss": 0.38894, "time": 0.5082} -{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27359, "decode.acc_seg": 73.12339, "aux.loss_seg": 0.14428, "aux.acc_seg": 70.89399, "loss": 0.41788, "time": 0.5071} -{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.27036, "decode.acc_seg": 73.8463, "aux.loss_seg": 0.14302, "aux.acc_seg": 71.67586, "loss": 0.41339, "time": 0.51111} -{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.27462, "decode.acc_seg": 72.53081, "aux.loss_seg": 0.14443, "aux.acc_seg": 70.51358, "loss": 0.41904, "time": 0.51178} -{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.27521, "decode.acc_seg": 72.68798, "aux.loss_seg": 0.14079, "aux.acc_seg": 70.71162, "loss": 0.416, "time": 0.5113} -{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.26151, "decode.acc_seg": 72.9484, "aux.loss_seg": 0.13581, "aux.acc_seg": 70.91134, "loss": 0.39732, "time": 0.51169} -{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.23873, "decode.acc_seg": 72.05549, "aux.loss_seg": 0.12801, "aux.acc_seg": 69.87114, "loss": 0.36674, "time": 0.51083} -{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.27783, "decode.acc_seg": 73.01183, "aux.loss_seg": 0.14496, "aux.acc_seg": 70.89145, "loss": 0.42279, "time": 0.51375} -{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.289, "decode.acc_seg": 72.32202, "aux.loss_seg": 0.14645, "aux.acc_seg": 70.57052, "loss": 0.43545, "time": 0.51523} -{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.26422, "decode.acc_seg": 71.88519, "aux.loss_seg": 0.13746, "aux.acc_seg": 69.86024, "loss": 0.40169, "time": 0.51427} -{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.25805, "decode.acc_seg": 72.65517, "aux.loss_seg": 0.13506, "aux.acc_seg": 70.8117, "loss": 0.39311, "time": 0.52313} -{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.27637, "decode.acc_seg": 72.49041, "aux.loss_seg": 0.14312, "aux.acc_seg": 70.50088, "loss": 0.41949, "time": 0.54005} -{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.26545, "decode.acc_seg": 71.81633, "aux.loss_seg": 0.13659, "aux.acc_seg": 70.00089, "loss": 0.40204, "time": 0.52116} -{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.2577, "decode.acc_seg": 71.56875, "aux.loss_seg": 0.13354, "aux.acc_seg": 69.78313, "loss": 0.39125, "time": 0.50798} -{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.27334, "decode.acc_seg": 71.68251, "aux.loss_seg": 0.14138, "aux.acc_seg": 69.6215, "loss": 0.41472, "time": 0.51066} -{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.2707, "decode.acc_seg": 71.49341, "aux.loss_seg": 0.14262, "aux.acc_seg": 69.35259, "loss": 0.41332, "time": 0.51247} -{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.25904, "decode.acc_seg": 73.20482, "aux.loss_seg": 0.13774, "aux.acc_seg": 70.93642, "loss": 0.39678, "time": 0.53241} -{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.28269, "decode.acc_seg": 72.23958, "aux.loss_seg": 0.1483, "aux.acc_seg": 69.89978, "loss": 0.43099, "time": 0.53322} -{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.26479, "decode.acc_seg": 72.00297, "aux.loss_seg": 0.13793, "aux.acc_seg": 69.99563, "loss": 0.40272, "time": 0.54541} -{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.25319, "decode.acc_seg": 72.00661, "aux.loss_seg": 0.13326, "aux.acc_seg": 69.97464, "loss": 0.38645, "time": 0.51497} -{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.25995, "decode.acc_seg": 71.72663, "aux.loss_seg": 0.13518, "aux.acc_seg": 69.83996, "loss": 0.39513, "time": 0.52681} -{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.25993, "decode.acc_seg": 71.87648, "aux.loss_seg": 0.13677, "aux.acc_seg": 69.86667, "loss": 0.3967, "time": 0.53321} -{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.2616, "decode.acc_seg": 70.70128, "aux.loss_seg": 0.13683, "aux.acc_seg": 68.73264, "loss": 0.39842, "time": 0.52108} -{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.27088, "decode.acc_seg": 71.65029, "aux.loss_seg": 0.14228, "aux.acc_seg": 69.33809, "loss": 0.41316, "time": 0.50537} -{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 22404, "data_time": 0.2473, "decode.loss_seg": 0.25862, "decode.acc_seg": 72.23636, "aux.loss_seg": 0.13558, "aux.acc_seg": 70.17862, "loss": 0.3942, "time": 0.7509} -{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.25892, "decode.acc_seg": 73.36516, "aux.loss_seg": 0.13605, "aux.acc_seg": 71.2474, "loss": 0.39498, "time": 0.51964} -{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.26093, "decode.acc_seg": 73.93008, "aux.loss_seg": 0.13575, "aux.acc_seg": 71.99204, "loss": 0.39667, "time": 0.52795} -{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.2524, "decode.acc_seg": 72.1796, "aux.loss_seg": 0.13304, "aux.acc_seg": 70.13654, "loss": 0.38543, "time": 0.52938} -{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25364, "decode.acc_seg": 72.12253, "aux.loss_seg": 0.13294, "aux.acc_seg": 70.17142, "loss": 0.38658, "time": 0.5097} -{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.2764, "decode.acc_seg": 71.27964, "aux.loss_seg": 0.14316, "aux.acc_seg": 69.21378, "loss": 0.41956, "time": 0.51211} -{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 22404, "data_time": 0.00814, "decode.loss_seg": 0.26908, "decode.acc_seg": 72.47473, "aux.loss_seg": 0.14131, "aux.acc_seg": 70.4915, "loss": 0.41039, "time": 0.51429} -{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.24989, "decode.acc_seg": 72.90366, "aux.loss_seg": 0.12907, "aux.acc_seg": 71.34258, "loss": 0.37896, "time": 0.53253} -{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.25193, "decode.acc_seg": 72.43827, "aux.loss_seg": 0.13388, "aux.acc_seg": 70.40305, "loss": 0.38581, "time": 0.51467} -{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.26303, "decode.acc_seg": 73.49614, "aux.loss_seg": 0.13908, "aux.acc_seg": 71.40705, "loss": 0.40211, "time": 0.51005} -{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25942, "decode.acc_seg": 73.03999, "aux.loss_seg": 0.13431, "aux.acc_seg": 71.14245, "loss": 0.39373, "time": 0.50527} -{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.26218, "decode.acc_seg": 72.64605, "aux.loss_seg": 0.1366, "aux.acc_seg": 70.65069, "loss": 0.39878, "time": 0.51818} -{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.24631, "decode.acc_seg": 72.13983, "aux.loss_seg": 0.12965, "aux.acc_seg": 70.35391, "loss": 0.37597, "time": 0.50482} -{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.2594, "decode.acc_seg": 73.12199, "aux.loss_seg": 0.13347, "aux.acc_seg": 71.33407, "loss": 0.39287, "time": 0.50678} -{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.26611, "decode.acc_seg": 70.20123, "aux.loss_seg": 0.13906, "aux.acc_seg": 68.1931, "loss": 0.40517, "time": 0.508} -{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25347, "decode.acc_seg": 73.12974, "aux.loss_seg": 0.13146, "aux.acc_seg": 71.3351, "loss": 0.38493, "time": 0.51003} -{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4645, "mAcc": 0.5876, "aAcc": 0.8157, "IoU.wall": 0.7457, "IoU.building": 0.7965, "IoU.sky": 0.9371, "IoU.floor": 0.8023, "IoU.tree": 0.7305, "IoU.ceiling": 0.8194, "IoU.road": 0.8254, "IoU.bed ": 0.8758, "IoU.windowpane": 0.5846, "IoU.grass": 0.6877, "IoU.cabinet": 0.5862, "IoU.sidewalk": 0.6311, "IoU.person": 0.7605, "IoU.earth": 0.3537, "IoU.door": 0.4355, "IoU.table": 0.5284, "IoU.mountain": 0.6021, "IoU.plant": 0.5246, "IoU.curtain": 0.6837, "IoU.chair": 0.5192, "IoU.car": 0.8288, "IoU.water": 0.5106, "IoU.painting": 0.6943, "IoU.sofa": 0.5833, "IoU.shelf": 0.411, "IoU.house": 0.4589, "IoU.sea": 0.5354, "IoU.mirror": 0.6243, "IoU.rug": 0.5938, "IoU.field": 0.3237, "IoU.armchair": 0.3727, "IoU.seat": 0.642, "IoU.fence": 0.4678, "IoU.desk": 0.4432, "IoU.rock": 0.5076, "IoU.wardrobe": 0.4858, "IoU.lamp": 0.5706, "IoU.bathtub": 0.6733, "IoU.railing": 0.3081, "IoU.cushion": 0.5145, "IoU.base": 0.252, "IoU.box": 0.2412, "IoU.column": 0.4031, "IoU.signboard": 0.3522, "IoU.chest of drawers": 0.4243, "IoU.counter": 0.2826, "IoU.sand": 0.4, "IoU.sink": 0.6727, "IoU.skyscraper": 0.5488, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6889, "IoU.grandstand": 0.3549, "IoU.path": 0.2389, "IoU.stairs": 0.3083, "IoU.runway": 0.7233, "IoU.case": 0.49, "IoU.pool table": 0.896, "IoU.pillow": 0.5308, "IoU.screen door": 0.6485, "IoU.stairway": 0.3473, "IoU.river": 0.1449, "IoU.bridge": 0.656, "IoU.bookcase": 0.3829, "IoU.blind": NaN, "IoU.coffee table": 0.5149, "IoU.toilet": 0.7931, "IoU.flower": 0.388, "IoU.book": 0.4527, "IoU.hill": 0.0439, "IoU.bench": 0.5123, "IoU.countertop": 0.4574, "IoU.stove": 0.6674, "IoU.palm": 0.474, "IoU.kitchen island": 0.3003, "IoU.computer": 0.6943, "IoU.swivel chair": 0.426, "IoU.boat": 0.3913, "IoU.bar": 0.29, "IoU.arcade machine": 0.7755, "IoU.hovel": 0.4237, "IoU.bus": 0.8334, "IoU.towel": 0.5455, "IoU.light": 0.4985, "IoU.truck": 0.3253, "IoU.tower": 0.3041, "IoU.chandelier": 0.6366, "IoU.awning": 0.2401, "IoU.streetlight": 0.188, "IoU.booth": 0.5069, "IoU.television receiver": NaN, "IoU.airplane": 0.5751, "IoU.dirt track": 0.1749, "IoU.apparel": 0.2299, "IoU.pole": 0.1626, "IoU.land": 0.056, "IoU.bannister": 0.1165, "IoU.escalator": 0.5303, "IoU.ottoman": 0.3664, "IoU.bottle": NaN, "IoU.buffet": 0.5052, "IoU.poster": 0.2464, "IoU.stage": 0.1789, "IoU.van": 0.3883, "IoU.ship": 0.6403, "IoU.fountain": 0.1942, "IoU.conveyer belt": 0.517, "IoU.canopy": 0.1527, "IoU.washer": 0.7863, "IoU.plaything": 0.1889, "IoU.swimming pool": 0.5194, "IoU.stool": 0.3737, "IoU.barrel": 0.4993, "IoU.basket": 0.2699, "IoU.waterfall": 0.6082, "IoU.tent": 0.8859, "IoU.bag": 0.0933, "IoU.minibike": 0.7066, "IoU.cradle": NaN, "IoU.oven": 0.1907, "IoU.ball": 0.3955, "IoU.food": 0.4851, "IoU.step": 0.1135, "IoU.tank": 0.4831, "IoU.trade name": 0.2307, "IoU.microwave": 0.6666, "IoU.pot": 0.5132, "IoU.animal": NaN, "IoU.bicycle": 0.5129, "IoU.lake": 0.6198, "IoU.dishwasher": 0.4297, "IoU.screen": 0.6673, "IoU.blanket": 0.1585, "IoU.sculpture": 0.4723, "IoU.hood": 0.5285, "IoU.sconce": 0.3463, "IoU.vase": 0.3048, "IoU.traffic light": 0.2448, "IoU.tray": 0.0387, "IoU.ashcan": 0.3495, "IoU.fan": 0.5274, "IoU.pier": 0.3158, "IoU.crt screen": 0.1012, "IoU.plate": 0.5249, "IoU.monitor": 0.4568, "IoU.bulletin board": 0.2863, "IoU.shower": 0.0097, "IoU.radiator": 0.6288, "IoU.glass": 0.1033, "IoU.clock": 0.2388, "IoU.flag": 0.3283, "Acc.wall": 0.8757, "Acc.building": 0.9031, "Acc.sky": 0.9724, "Acc.floor": 0.8867, "Acc.tree": 0.8612, "Acc.ceiling": 0.9061, "Acc.road": 0.8856, "Acc.bed ": 0.9492, "Acc.windowpane": 0.7447, "Acc.grass": 0.8259, "Acc.cabinet": 0.6976, "Acc.sidewalk": 0.8204, "Acc.person": 0.8835, "Acc.earth": 0.5078, "Acc.door": 0.5896, "Acc.table": 0.7161, "Acc.mountain": 0.7832, "Acc.plant": 0.6463, "Acc.curtain": 0.7867, "Acc.chair": 0.6393, "Acc.car": 0.9075, "Acc.water": 0.6821, "Acc.painting": 0.838, "Acc.sofa": 0.7772, "Acc.shelf": 0.5258, "Acc.house": 0.7359, "Acc.sea": 0.764, "Acc.mirror": 0.7205, "Acc.rug": 0.7204, "Acc.field": 0.4421, "Acc.armchair": 0.5419, "Acc.seat": 0.7795, "Acc.fence": 0.6428, "Acc.desk": 0.6966, "Acc.rock": 0.8035, "Acc.wardrobe": 0.5793, "Acc.lamp": 0.6759, "Acc.bathtub": 0.7941, "Acc.railing": 0.4241, "Acc.cushion": 0.6445, "Acc.base": 0.3587, "Acc.box": 0.3158, "Acc.column": 0.5602, "Acc.signboard": 0.5011, "Acc.chest of drawers": 0.5855, "Acc.counter": 0.4146, "Acc.sand": 0.5323, "Acc.sink": 0.7629, "Acc.skyscraper": 0.7057, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8554, "Acc.grandstand": 0.6149, "Acc.path": 0.3774, "Acc.stairs": 0.3526, "Acc.runway": 0.957, "Acc.case": 0.6966, "Acc.pool table": 0.9605, "Acc.pillow": 0.6594, "Acc.screen door": 0.7509, "Acc.stairway": 0.4195, "Acc.river": 0.25, "Acc.bridge": 0.7442, "Acc.bookcase": 0.4548, "Acc.blind": NaN, "Acc.coffee table": 0.7522, "Acc.toilet": 0.878, "Acc.flower": 0.4799, "Acc.book": 0.6311, "Acc.hill": 0.0499, "Acc.bench": 0.6267, "Acc.countertop": 0.6164, "Acc.stove": 0.8233, "Acc.palm": 0.7945, "Acc.kitchen island": 0.6717, "Acc.computer": 0.8188, "Acc.swivel chair": 0.6166, "Acc.boat": 0.4469, "Acc.bar": 0.3288, "Acc.arcade machine": 0.8715, "Acc.hovel": 0.4485, "Acc.bus": 0.9477, "Acc.towel": 0.6893, "Acc.light": 0.5511, "Acc.truck": 0.4616, "Acc.tower": 0.5855, "Acc.chandelier": 0.7869, "Acc.awning": 0.2978, "Acc.streetlight": 0.2361, "Acc.booth": 0.6134, "Acc.television receiver": NaN, "Acc.airplane": 0.6338, "Acc.dirt track": 0.408, "Acc.apparel": 0.3702, "Acc.pole": 0.239, "Acc.land": 0.0797, "Acc.bannister": 0.1458, "Acc.escalator": 0.8313, "Acc.ottoman": 0.506, "Acc.bottle": NaN, "Acc.buffet": 0.5564, "Acc.poster": 0.3271, "Acc.stage": 0.2475, "Acc.van": 0.4854, "Acc.ship": 0.9532, "Acc.fountain": 0.202, "Acc.conveyer belt": 0.7319, "Acc.canopy": 0.2474, "Acc.washer": 0.8293, "Acc.plaything": 0.2619, "Acc.swimming pool": 0.8781, "Acc.stool": 0.5484, "Acc.barrel": 0.7181, "Acc.basket": 0.3206, "Acc.waterfall": 0.7833, "Acc.tent": 0.989, "Acc.bag": 0.1093, "Acc.minibike": 0.8414, "Acc.cradle": NaN, "Acc.oven": 0.2549, "Acc.ball": 0.4428, "Acc.food": 0.5713, "Acc.step": 0.1297, "Acc.tank": 0.5273, "Acc.trade name": 0.2817, "Acc.microwave": 0.7693, "Acc.pot": 0.5747, "Acc.animal": NaN, "Acc.bicycle": 0.6904, "Acc.lake": 0.6215, "Acc.dishwasher": 0.5977, "Acc.screen": 0.8852, "Acc.blanket": 0.1831, "Acc.sculpture": 0.6325, "Acc.hood": 0.5539, "Acc.sconce": 0.4086, "Acc.vase": 0.5094, "Acc.traffic light": 0.3485, "Acc.tray": 0.0552, "Acc.ashcan": 0.426, "Acc.fan": 0.6872, "Acc.pier": 0.4534, "Acc.crt screen": 0.1266, "Acc.plate": 0.6221, "Acc.monitor": 0.6386, "Acc.bulletin board": 0.4624, "Acc.shower": 0.0337, "Acc.radiator": 0.7157, "Acc.glass": 0.1103, "Acc.clock": 0.2643, "Acc.flag": 0.3591} -{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 22404, "data_time": 1.57777, "decode.loss_seg": 0.27294, "decode.acc_seg": 73.05393, "aux.loss_seg": 0.1405, "aux.acc_seg": 71.08482, "loss": 0.41344, "time": 2.08931} -{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.26613, "decode.acc_seg": 72.19393, "aux.loss_seg": 0.13662, "aux.acc_seg": 70.21014, "loss": 0.40275, "time": 0.50989} -{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.27347, "decode.acc_seg": 72.55545, "aux.loss_seg": 0.14458, "aux.acc_seg": 70.45318, "loss": 0.41804, "time": 0.5306} -{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.28574, "decode.acc_seg": 73.08805, "aux.loss_seg": 0.14788, "aux.acc_seg": 70.99174, "loss": 0.43363, "time": 0.53831} -{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.2614, "decode.acc_seg": 72.15718, "aux.loss_seg": 0.13416, "aux.acc_seg": 70.42191, "loss": 0.39556, "time": 0.5195} -{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.27416, "decode.acc_seg": 73.41236, "aux.loss_seg": 0.14431, "aux.acc_seg": 71.27395, "loss": 0.41846, "time": 0.51007} -{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.24754, "decode.acc_seg": 71.73685, "aux.loss_seg": 0.13009, "aux.acc_seg": 69.84565, "loss": 0.37764, "time": 0.5152} -{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.26061, "decode.acc_seg": 72.83049, "aux.loss_seg": 0.13494, "aux.acc_seg": 70.89365, "loss": 0.39555, "time": 0.53448} -{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 22404, "data_time": 0.24557, "decode.loss_seg": 0.26236, "decode.acc_seg": 70.68655, "aux.loss_seg": 0.13755, "aux.acc_seg": 68.63039, "loss": 0.39992, "time": 0.74752} -{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.25263, "decode.acc_seg": 72.74004, "aux.loss_seg": 0.13461, "aux.acc_seg": 70.50702, "loss": 0.38724, "time": 0.52765} -{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.24511, "decode.acc_seg": 74.71356, "aux.loss_seg": 0.12605, "aux.acc_seg": 72.86314, "loss": 0.37116, "time": 0.52085} -{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.26214, "decode.acc_seg": 71.00792, "aux.loss_seg": 0.13607, "aux.acc_seg": 69.15675, "loss": 0.39821, "time": 0.51928} -{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.26965, "decode.acc_seg": 72.13575, "aux.loss_seg": 0.14, "aux.acc_seg": 70.15463, "loss": 0.40965, "time": 0.51536} -{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.26099, "decode.acc_seg": 72.76364, "aux.loss_seg": 0.13683, "aux.acc_seg": 70.71829, "loss": 0.39783, "time": 0.50891} -{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.26178, "decode.acc_seg": 73.02473, "aux.loss_seg": 0.13382, "aux.acc_seg": 71.14726, "loss": 0.3956, "time": 0.52365} -{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.25545, "decode.acc_seg": 72.52295, "aux.loss_seg": 0.13227, "aux.acc_seg": 70.66821, "loss": 0.38772, "time": 0.50901} -{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.25889, "decode.acc_seg": 72.71508, "aux.loss_seg": 0.13564, "aux.acc_seg": 70.78606, "loss": 0.39453, "time": 0.53347} -{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.25907, "decode.acc_seg": 71.66536, "aux.loss_seg": 0.1353, "aux.acc_seg": 69.75309, "loss": 0.39437, "time": 0.50985} -{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.27147, "decode.acc_seg": 72.31862, "aux.loss_seg": 0.14419, "aux.acc_seg": 70.018, "loss": 0.41566, "time": 0.51951} -{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.26554, "decode.acc_seg": 73.71212, "aux.loss_seg": 0.1372, "aux.acc_seg": 71.87342, "loss": 0.40275, "time": 0.50955} -{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.25434, "decode.acc_seg": 72.40717, "aux.loss_seg": 0.13479, "aux.acc_seg": 70.49706, "loss": 0.38913, "time": 0.51609} -{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.26743, "decode.acc_seg": 73.02733, "aux.loss_seg": 0.13698, "aux.acc_seg": 71.06716, "loss": 0.40441, "time": 0.51407} -{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.25732, "decode.acc_seg": 72.15733, "aux.loss_seg": 0.13388, "aux.acc_seg": 70.16472, "loss": 0.3912, "time": 0.50838} -{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.27243, "decode.acc_seg": 71.92564, "aux.loss_seg": 0.14313, "aux.acc_seg": 69.69493, "loss": 0.41555, "time": 0.52702} -{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.2601, "decode.acc_seg": 71.67605, "aux.loss_seg": 0.13503, "aux.acc_seg": 69.7104, "loss": 0.39514, "time": 0.51548} -{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.25323, "decode.acc_seg": 73.4144, "aux.loss_seg": 0.13318, "aux.acc_seg": 71.37895, "loss": 0.38641, "time": 0.53102} -{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.25811, "decode.acc_seg": 72.89569, "aux.loss_seg": 0.13762, "aux.acc_seg": 70.67207, "loss": 0.39573, "time": 0.54001} -{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.26397, "decode.acc_seg": 70.97312, "aux.loss_seg": 0.13701, "aux.acc_seg": 68.92499, "loss": 0.40099, "time": 0.51935} -{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.2595, "decode.acc_seg": 72.51714, "aux.loss_seg": 0.13545, "aux.acc_seg": 70.60408, "loss": 0.39495, "time": 0.52163} -{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.26242, "decode.acc_seg": 73.1152, "aux.loss_seg": 0.1354, "aux.acc_seg": 71.34588, "loss": 0.39782, "time": 0.52132} -{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.26256, "decode.acc_seg": 71.40668, "aux.loss_seg": 0.13935, "aux.acc_seg": 69.3577, "loss": 0.40191, "time": 0.5202} -{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.24642, "decode.acc_seg": 72.06165, "aux.loss_seg": 0.12749, "aux.acc_seg": 70.2385, "loss": 0.37392, "time": 0.53594} -{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.25499, "decode.acc_seg": 71.22169, "aux.loss_seg": 0.13467, "aux.acc_seg": 69.15251, "loss": 0.38965, "time": 0.52793} -{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 22404, "data_time": 0.25134, "decode.loss_seg": 0.24654, "decode.acc_seg": 71.57672, "aux.loss_seg": 0.13003, "aux.acc_seg": 69.7772, "loss": 0.37657, "time": 0.76272} -{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.24859, "decode.acc_seg": 73.90785, "aux.loss_seg": 0.12959, "aux.acc_seg": 71.99818, "loss": 0.37818, "time": 0.52134} -{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25934, "decode.acc_seg": 72.41013, "aux.loss_seg": 0.13587, "aux.acc_seg": 70.34072, "loss": 0.39521, "time": 0.51188} -{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.26193, "decode.acc_seg": 71.4385, "aux.loss_seg": 0.13509, "aux.acc_seg": 69.55669, "loss": 0.39702, "time": 0.51748} -{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.24538, "decode.acc_seg": 72.25504, "aux.loss_seg": 0.13031, "aux.acc_seg": 70.17468, "loss": 0.37569, "time": 0.51889} -{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.25828, "decode.acc_seg": 72.95219, "aux.loss_seg": 0.13651, "aux.acc_seg": 70.94346, "loss": 0.39479, "time": 0.51243} -{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.26493, "decode.acc_seg": 72.77836, "aux.loss_seg": 0.14151, "aux.acc_seg": 70.53859, "loss": 0.40643, "time": 0.50917} -{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.26313, "decode.acc_seg": 72.23247, "aux.loss_seg": 0.13621, "aux.acc_seg": 70.34231, "loss": 0.39934, "time": 0.51246} -{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.23558, "decode.acc_seg": 71.80704, "aux.loss_seg": 0.12643, "aux.acc_seg": 69.79007, "loss": 0.36201, "time": 0.51104} -{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2524, "decode.acc_seg": 73.083, "aux.loss_seg": 0.13176, "aux.acc_seg": 71.1767, "loss": 0.38416, "time": 0.52172} -{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.25211, "decode.acc_seg": 72.25179, "aux.loss_seg": 0.13074, "aux.acc_seg": 70.51738, "loss": 0.38285, "time": 0.53224} -{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.25999, "decode.acc_seg": 72.19943, "aux.loss_seg": 0.13353, "aux.acc_seg": 70.40816, "loss": 0.39351, "time": 0.51791} -{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.25296, "decode.acc_seg": 71.90188, "aux.loss_seg": 0.1341, "aux.acc_seg": 69.89644, "loss": 0.38706, "time": 0.51181} -{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.2473, "decode.acc_seg": 73.91839, "aux.loss_seg": 0.13165, "aux.acc_seg": 71.90036, "loss": 0.37896, "time": 0.50837} -{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.26184, "decode.acc_seg": 72.31767, "aux.loss_seg": 0.13772, "aux.acc_seg": 70.25475, "loss": 0.39955, "time": 0.50876} -{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.25596, "decode.acc_seg": 72.23227, "aux.loss_seg": 0.13224, "aux.acc_seg": 70.4505, "loss": 0.3882, "time": 0.51169} -{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.28325, "decode.acc_seg": 72.65961, "aux.loss_seg": 0.14672, "aux.acc_seg": 70.63488, "loss": 0.42998, "time": 0.51078} -{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.2686, "decode.acc_seg": 73.31314, "aux.loss_seg": 0.13797, "aux.acc_seg": 71.45778, "loss": 0.40657, "time": 0.51437} -{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.26332, "decode.acc_seg": 72.44767, "aux.loss_seg": 0.13804, "aux.acc_seg": 70.43091, "loss": 0.40136, "time": 0.52056} -{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.26381, "decode.acc_seg": 72.49622, "aux.loss_seg": 0.13494, "aux.acc_seg": 70.63734, "loss": 0.39875, "time": 0.51793} -{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.25491, "decode.acc_seg": 72.33405, "aux.loss_seg": 0.13337, "aux.acc_seg": 70.3168, "loss": 0.38827, "time": 0.54358} -{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.25249, "decode.acc_seg": 71.61179, "aux.loss_seg": 0.13104, "aux.acc_seg": 69.82937, "loss": 0.38353, "time": 0.51655} -{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.25521, "decode.acc_seg": 73.20234, "aux.loss_seg": 0.13137, "aux.acc_seg": 71.48879, "loss": 0.38658, "time": 0.50879} -{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.27468, "decode.acc_seg": 72.74838, "aux.loss_seg": 0.14132, "aux.acc_seg": 70.67333, "loss": 0.416, "time": 0.53802} -{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25963, "decode.acc_seg": 72.47718, "aux.loss_seg": 0.13291, "aux.acc_seg": 70.77137, "loss": 0.39254, "time": 0.51113} -{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 22404, "data_time": 0.24133, "decode.loss_seg": 0.26094, "decode.acc_seg": 72.71009, "aux.loss_seg": 0.13639, "aux.acc_seg": 70.7296, "loss": 0.39734, "time": 0.76332} -{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.2448, "decode.acc_seg": 72.33386, "aux.loss_seg": 0.1301, "aux.acc_seg": 70.23082, "loss": 0.3749, "time": 0.53} -{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.25406, "decode.acc_seg": 73.22308, "aux.loss_seg": 0.1323, "aux.acc_seg": 71.2663, "loss": 0.38636, "time": 0.51011} -{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25684, "decode.acc_seg": 73.95045, "aux.loss_seg": 0.13576, "aux.acc_seg": 71.82947, "loss": 0.3926, "time": 0.51387} -{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.26203, "decode.acc_seg": 72.64995, "aux.loss_seg": 0.1374, "aux.acc_seg": 70.72217, "loss": 0.39943, "time": 0.52486} -{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.25593, "decode.acc_seg": 72.88182, "aux.loss_seg": 0.13473, "aux.acc_seg": 70.76237, "loss": 0.39066, "time": 0.52231} -{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.2538, "decode.acc_seg": 72.5683, "aux.loss_seg": 0.13429, "aux.acc_seg": 70.57395, "loss": 0.38809, "time": 0.51777} -{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.2715, "decode.acc_seg": 71.71197, "aux.loss_seg": 0.14073, "aux.acc_seg": 69.71017, "loss": 0.41223, "time": 0.51542} -{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.24761, "decode.acc_seg": 72.02675, "aux.loss_seg": 0.1287, "aux.acc_seg": 70.16485, "loss": 0.37631, "time": 0.51411} -{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.24622, "decode.acc_seg": 72.51064, "aux.loss_seg": 0.12955, "aux.acc_seg": 70.61685, "loss": 0.37577, "time": 0.51378} -{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.24606, "decode.acc_seg": 73.69144, "aux.loss_seg": 0.12949, "aux.acc_seg": 71.72946, "loss": 0.37555, "time": 0.51635} -{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.25253, "decode.acc_seg": 72.36034, "aux.loss_seg": 0.13352, "aux.acc_seg": 70.3635, "loss": 0.38605, "time": 0.51523} -{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.2534, "decode.acc_seg": 72.59395, "aux.loss_seg": 0.12857, "aux.acc_seg": 70.93195, "loss": 0.38197, "time": 0.51091} -{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.25709, "decode.acc_seg": 72.27794, "aux.loss_seg": 0.13628, "aux.acc_seg": 70.17846, "loss": 0.39337, "time": 0.50989} -{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.24873, "decode.acc_seg": 73.40907, "aux.loss_seg": 0.12935, "aux.acc_seg": 71.3961, "loss": 0.37808, "time": 0.51024} -{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.25095, "decode.acc_seg": 71.69424, "aux.loss_seg": 0.13002, "aux.acc_seg": 69.79351, "loss": 0.38096, "time": 0.51161} -{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.26521, "decode.acc_seg": 72.05555, "aux.loss_seg": 0.13442, "aux.acc_seg": 70.29416, "loss": 0.39963, "time": 0.52216} -{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.2643, "decode.acc_seg": 72.45718, "aux.loss_seg": 0.13529, "aux.acc_seg": 70.87827, "loss": 0.39959, "time": 0.52675} -{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.25788, "decode.acc_seg": 72.84701, "aux.loss_seg": 0.13349, "aux.acc_seg": 71.03319, "loss": 0.39136, "time": 0.51286} -{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.26587, "decode.acc_seg": 71.63351, "aux.loss_seg": 0.13743, "aux.acc_seg": 69.77697, "loss": 0.4033, "time": 0.51709} -{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.25347, "decode.acc_seg": 71.88428, "aux.loss_seg": 0.13177, "aux.acc_seg": 69.92566, "loss": 0.38524, "time": 0.54369} -{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.2581, "decode.acc_seg": 72.06868, "aux.loss_seg": 0.13769, "aux.acc_seg": 69.74869, "loss": 0.39579, "time": 0.52145} -{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.26165, "decode.acc_seg": 72.05584, "aux.loss_seg": 0.13433, "aux.acc_seg": 70.2927, "loss": 0.39598, "time": 0.53739} -{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.25189, "decode.acc_seg": 72.75796, "aux.loss_seg": 0.1287, "aux.acc_seg": 71.0519, "loss": 0.38059, "time": 0.51198} -{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.25531, "decode.acc_seg": 72.55237, "aux.loss_seg": 0.13368, "aux.acc_seg": 70.50147, "loss": 0.38899, "time": 0.52642} -{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.24959, "decode.acc_seg": 72.66023, "aux.loss_seg": 0.13106, "aux.acc_seg": 70.7542, "loss": 0.38065, "time": 0.51465} -{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 22404, "data_time": 0.24847, "decode.loss_seg": 0.25454, "decode.acc_seg": 71.88802, "aux.loss_seg": 0.13083, "aux.acc_seg": 70.008, "loss": 0.38537, "time": 0.7629} -{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.25522, "decode.acc_seg": 71.80696, "aux.loss_seg": 0.13536, "aux.acc_seg": 69.84587, "loss": 0.39057, "time": 0.50745} -{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.24431, "decode.acc_seg": 72.7254, "aux.loss_seg": 0.12787, "aux.acc_seg": 70.97421, "loss": 0.37218, "time": 0.50953} -{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.24737, "decode.acc_seg": 73.86479, "aux.loss_seg": 0.13235, "aux.acc_seg": 71.86502, "loss": 0.37972, "time": 0.50925} -{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.23736, "decode.acc_seg": 73.63668, "aux.loss_seg": 0.12812, "aux.acc_seg": 71.60366, "loss": 0.36548, "time": 0.51243} -{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23644, "decode.acc_seg": 71.5735, "aux.loss_seg": 0.12549, "aux.acc_seg": 69.65694, "loss": 0.36192, "time": 0.51968} -{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.25278, "decode.acc_seg": 71.64521, "aux.loss_seg": 0.1319, "aux.acc_seg": 69.72316, "loss": 0.38468, "time": 0.52887} -{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.24598, "decode.acc_seg": 72.91026, "aux.loss_seg": 0.13264, "aux.acc_seg": 70.75987, "loss": 0.37862, "time": 0.52134} -{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.22513, "decode.acc_seg": 72.13993, "aux.loss_seg": 0.11969, "aux.acc_seg": 70.27023, "loss": 0.34483, "time": 0.51843} -{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.23206, "decode.acc_seg": 73.31133, "aux.loss_seg": 0.12273, "aux.acc_seg": 71.46741, "loss": 0.3548, "time": 0.52054} -{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.25947, "decode.acc_seg": 71.47813, "aux.loss_seg": 0.136, "aux.acc_seg": 69.551, "loss": 0.39547, "time": 0.52147} -{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.25512, "decode.acc_seg": 71.74933, "aux.loss_seg": 0.13696, "aux.acc_seg": 69.54909, "loss": 0.39208, "time": 0.51601} -{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 22404, "data_time": 0.00858, "decode.loss_seg": 0.24496, "decode.acc_seg": 72.58679, "aux.loss_seg": 0.1322, "aux.acc_seg": 70.40194, "loss": 0.37716, "time": 0.51451} -{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.26522, "decode.acc_seg": 73.02188, "aux.loss_seg": 0.13751, "aux.acc_seg": 70.92558, "loss": 0.40273, "time": 0.51536} -{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.2494, "decode.acc_seg": 73.30395, "aux.loss_seg": 0.12983, "aux.acc_seg": 71.46034, "loss": 0.37923, "time": 0.52128} -{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.24433, "decode.acc_seg": 72.85349, "aux.loss_seg": 0.13058, "aux.acc_seg": 70.92991, "loss": 0.37491, "time": 0.51128} -{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.24129, "decode.acc_seg": 72.00675, "aux.loss_seg": 0.12774, "aux.acc_seg": 70.28088, "loss": 0.36903, "time": 0.51813} -{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.23976, "decode.acc_seg": 72.63036, "aux.loss_seg": 0.12632, "aux.acc_seg": 70.66576, "loss": 0.36608, "time": 0.53271} -{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.25782, "decode.acc_seg": 73.91188, "aux.loss_seg": 0.13514, "aux.acc_seg": 71.84027, "loss": 0.39296, "time": 0.52256} -{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.26477, "decode.acc_seg": 73.51348, "aux.loss_seg": 0.1383, "aux.acc_seg": 71.50509, "loss": 0.40307, "time": 0.51892} -{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.24978, "decode.acc_seg": 72.41221, "aux.loss_seg": 0.13059, "aux.acc_seg": 70.57367, "loss": 0.38037, "time": 0.52603} -{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.24997, "decode.acc_seg": 70.94914, "aux.loss_seg": 0.12944, "aux.acc_seg": 69.1213, "loss": 0.3794, "time": 0.51153} -{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.24114, "decode.acc_seg": 72.62087, "aux.loss_seg": 0.12615, "aux.acc_seg": 70.75993, "loss": 0.36729, "time": 0.5177} -{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.26018, "decode.acc_seg": 71.62268, "aux.loss_seg": 0.13734, "aux.acc_seg": 69.64445, "loss": 0.39752, "time": 0.51906} -{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.2436, "decode.acc_seg": 73.35764, "aux.loss_seg": 0.12738, "aux.acc_seg": 71.43584, "loss": 0.37099, "time": 0.50915} -{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 22404, "data_time": 0.24998, "decode.loss_seg": 0.23768, "decode.acc_seg": 72.10065, "aux.loss_seg": 0.12275, "aux.acc_seg": 70.30071, "loss": 0.36043, "time": 0.75404} -{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.23962, "decode.acc_seg": 72.70617, "aux.loss_seg": 0.12922, "aux.acc_seg": 70.49598, "loss": 0.36884, "time": 0.54075} -{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.25429, "decode.acc_seg": 72.29863, "aux.loss_seg": 0.13085, "aux.acc_seg": 70.53043, "loss": 0.38514, "time": 0.52186} -{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.25429, "decode.acc_seg": 72.66511, "aux.loss_seg": 0.13325, "aux.acc_seg": 70.67893, "loss": 0.38754, "time": 0.51693} -{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.23774, "decode.acc_seg": 73.37164, "aux.loss_seg": 0.12527, "aux.acc_seg": 71.4972, "loss": 0.363, "time": 0.51528} -{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.25449, "decode.acc_seg": 72.71067, "aux.loss_seg": 0.13322, "aux.acc_seg": 70.79341, "loss": 0.38772, "time": 0.53928} -{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23573, "decode.acc_seg": 73.68643, "aux.loss_seg": 0.12733, "aux.acc_seg": 71.59683, "loss": 0.36306, "time": 0.52522} -{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.25281, "decode.acc_seg": 71.37785, "aux.loss_seg": 0.13156, "aux.acc_seg": 69.37199, "loss": 0.38438, "time": 0.51838} -{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.24274, "decode.acc_seg": 72.14402, "aux.loss_seg": 0.12745, "aux.acc_seg": 70.22783, "loss": 0.37019, "time": 0.54283} -{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.25874, "decode.acc_seg": 73.5789, "aux.loss_seg": 0.13534, "aux.acc_seg": 71.4888, "loss": 0.39407, "time": 0.54006} -{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.2495, "decode.acc_seg": 72.17747, "aux.loss_seg": 0.13077, "aux.acc_seg": 70.26497, "loss": 0.38026, "time": 0.53121} -{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.25658, "decode.acc_seg": 71.37969, "aux.loss_seg": 0.13412, "aux.acc_seg": 69.27654, "loss": 0.3907, "time": 0.50908} -{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.89536, "aux.loss_seg": 0.13027, "aux.acc_seg": 70.95532, "loss": 0.37962, "time": 0.5084} -{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.26721, "decode.acc_seg": 72.55168, "aux.loss_seg": 0.13867, "aux.acc_seg": 70.43732, "loss": 0.40588, "time": 0.5175} -{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.26175, "decode.acc_seg": 72.06661, "aux.loss_seg": 0.13913, "aux.acc_seg": 69.98586, "loss": 0.40089, "time": 0.53275} -{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.2548, "decode.acc_seg": 72.29553, "aux.loss_seg": 0.13515, "aux.acc_seg": 70.18766, "loss": 0.38995, "time": 0.53944} -{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.24037, "decode.acc_seg": 72.85863, "aux.loss_seg": 0.12681, "aux.acc_seg": 71.02442, "loss": 0.36718, "time": 0.51062} -{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.2529, "decode.acc_seg": 71.8167, "aux.loss_seg": 0.13322, "aux.acc_seg": 69.85522, "loss": 0.38612, "time": 0.5179} -{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25468, "decode.acc_seg": 71.93904, "aux.loss_seg": 0.13204, "aux.acc_seg": 70.12929, "loss": 0.38672, "time": 0.53193} -{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.25431, "decode.acc_seg": 72.97338, "aux.loss_seg": 0.13117, "aux.acc_seg": 71.27437, "loss": 0.38549, "time": 0.53562} -{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.24535, "decode.acc_seg": 72.82731, "aux.loss_seg": 0.12462, "aux.acc_seg": 71.17349, "loss": 0.36998, "time": 0.52005} -{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 22404, "data_time": 0.00837, "decode.loss_seg": 0.24227, "decode.acc_seg": 73.01267, "aux.loss_seg": 0.12911, "aux.acc_seg": 70.94331, "loss": 0.37138, "time": 0.52827} -{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.24509, "decode.acc_seg": 72.80893, "aux.loss_seg": 0.13243, "aux.acc_seg": 70.64707, "loss": 0.37752, "time": 0.50858} -{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.25613, "decode.acc_seg": 73.21277, "aux.loss_seg": 0.13579, "aux.acc_seg": 70.96249, "loss": 0.39193, "time": 0.52358} -{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.25857, "decode.acc_seg": 71.88429, "aux.loss_seg": 0.13606, "aux.acc_seg": 69.92327, "loss": 0.39463, "time": 0.51091} -{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 22404, "data_time": 0.24517, "decode.loss_seg": 0.23809, "decode.acc_seg": 74.23373, "aux.loss_seg": 0.12843, "aux.acc_seg": 72.14396, "loss": 0.36653, "time": 0.74639} -{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.23005, "decode.acc_seg": 73.68262, "aux.loss_seg": 0.12389, "aux.acc_seg": 71.67956, "loss": 0.35393, "time": 0.51476} -{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.23625, "decode.acc_seg": 73.11442, "aux.loss_seg": 0.12375, "aux.acc_seg": 71.23343, "loss": 0.36, "time": 0.52804} -{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23756, "decode.acc_seg": 74.04748, "aux.loss_seg": 0.12471, "aux.acc_seg": 72.27564, "loss": 0.36226, "time": 0.52034} -{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.24467, "decode.acc_seg": 74.08132, "aux.loss_seg": 0.13078, "aux.acc_seg": 72.16632, "loss": 0.37545, "time": 0.51841} -{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.2258, "decode.acc_seg": 73.58544, "aux.loss_seg": 0.11939, "aux.acc_seg": 71.75419, "loss": 0.34519, "time": 0.51143} -{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.24742, "decode.acc_seg": 73.85061, "aux.loss_seg": 0.13281, "aux.acc_seg": 71.70443, "loss": 0.38023, "time": 0.51502} -{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.24865, "decode.acc_seg": 72.09618, "aux.loss_seg": 0.13188, "aux.acc_seg": 69.9172, "loss": 0.38053, "time": 0.54888} -{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.24079, "decode.acc_seg": 72.69442, "aux.loss_seg": 0.12648, "aux.acc_seg": 70.74184, "loss": 0.36727, "time": 0.51843} -{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.23584, "decode.acc_seg": 73.131, "aux.loss_seg": 0.12778, "aux.acc_seg": 71.00171, "loss": 0.36362, "time": 0.513} -{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.23411, "decode.acc_seg": 73.4141, "aux.loss_seg": 0.12383, "aux.acc_seg": 71.41399, "loss": 0.35794, "time": 0.52126} -{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.25139, "decode.acc_seg": 73.54176, "aux.loss_seg": 0.1312, "aux.acc_seg": 71.67341, "loss": 0.3826, "time": 0.5108} -{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.25243, "decode.acc_seg": 71.54431, "aux.loss_seg": 0.13384, "aux.acc_seg": 69.57012, "loss": 0.38628, "time": 0.51767} -{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.23833, "decode.acc_seg": 73.16436, "aux.loss_seg": 0.12579, "aux.acc_seg": 71.33763, "loss": 0.36413, "time": 0.50973} -{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.22501, "decode.acc_seg": 72.72127, "aux.loss_seg": 0.12082, "aux.acc_seg": 70.64583, "loss": 0.34583, "time": 0.5098} -{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.26119, "decode.acc_seg": 72.7241, "aux.loss_seg": 0.13763, "aux.acc_seg": 70.76143, "loss": 0.39882, "time": 0.51577} -{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.24451, "decode.acc_seg": 72.92347, "aux.loss_seg": 0.12572, "aux.acc_seg": 70.93135, "loss": 0.37024, "time": 0.51751} -{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.2398, "decode.acc_seg": 72.50677, "aux.loss_seg": 0.12813, "aux.acc_seg": 70.53094, "loss": 0.36793, "time": 0.50985} -{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.25376, "decode.acc_seg": 71.52358, "aux.loss_seg": 0.13484, "aux.acc_seg": 69.35615, "loss": 0.3886, "time": 0.51196} -{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.23699, "decode.acc_seg": 71.99646, "aux.loss_seg": 0.12725, "aux.acc_seg": 69.90245, "loss": 0.36424, "time": 0.53241} -{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.2398, "decode.acc_seg": 73.71537, "aux.loss_seg": 0.12715, "aux.acc_seg": 71.69478, "loss": 0.36695, "time": 0.515} -{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.23454, "decode.acc_seg": 72.42103, "aux.loss_seg": 0.12205, "aux.acc_seg": 70.61548, "loss": 0.35658, "time": 0.51167} -{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.26714, "decode.acc_seg": 72.60726, "aux.loss_seg": 0.1394, "aux.acc_seg": 70.5836, "loss": 0.40654, "time": 0.53253} -{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.25121, "decode.acc_seg": 71.50664, "aux.loss_seg": 0.12988, "aux.acc_seg": 69.70325, "loss": 0.38109, "time": 0.5383} -{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.26474, "decode.acc_seg": 71.06809, "aux.loss_seg": 0.13444, "aux.acc_seg": 69.22855, "loss": 0.39918, "time": 0.5214} -{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 22404, "data_time": 0.24557, "decode.loss_seg": 0.25697, "decode.acc_seg": 71.91318, "aux.loss_seg": 0.13536, "aux.acc_seg": 69.96646, "loss": 0.39234, "time": 0.74462} -{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.23455, "decode.acc_seg": 73.30485, "aux.loss_seg": 0.12618, "aux.acc_seg": 71.17273, "loss": 0.36074, "time": 0.51323} -{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.23111, "decode.acc_seg": 73.67874, "aux.loss_seg": 0.12323, "aux.acc_seg": 71.65182, "loss": 0.35434, "time": 0.51946} -{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.24902, "decode.acc_seg": 71.9881, "aux.loss_seg": 0.13273, "aux.acc_seg": 69.83749, "loss": 0.38176, "time": 0.5176} -{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.24989, "decode.acc_seg": 74.60607, "aux.loss_seg": 0.13305, "aux.acc_seg": 72.57345, "loss": 0.38294, "time": 0.51233} -{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.24179, "decode.acc_seg": 72.83925, "aux.loss_seg": 0.12709, "aux.acc_seg": 70.93957, "loss": 0.36888, "time": 0.50943} -{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.23885, "decode.acc_seg": 72.92894, "aux.loss_seg": 0.12443, "aux.acc_seg": 71.04413, "loss": 0.36328, "time": 0.51218} -{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.2621, "decode.acc_seg": 71.92244, "aux.loss_seg": 0.13707, "aux.acc_seg": 69.91358, "loss": 0.39917, "time": 0.50836} -{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25174, "decode.acc_seg": 73.66316, "aux.loss_seg": 0.13329, "aux.acc_seg": 71.5568, "loss": 0.38503, "time": 0.51214} -{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.24118, "decode.acc_seg": 73.42887, "aux.loss_seg": 0.12622, "aux.acc_seg": 71.51319, "loss": 0.3674, "time": 0.51527} -{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.239, "decode.acc_seg": 72.10581, "aux.loss_seg": 0.12436, "aux.acc_seg": 70.33595, "loss": 0.36336, "time": 0.5136} -{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.24965, "decode.acc_seg": 72.4381, "aux.loss_seg": 0.13315, "aux.acc_seg": 70.28233, "loss": 0.3828, "time": 0.51168} -{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.24339, "decode.acc_seg": 72.84142, "aux.loss_seg": 0.12938, "aux.acc_seg": 70.81957, "loss": 0.37277, "time": 0.50908} -{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.246, "decode.acc_seg": 72.06694, "aux.loss_seg": 0.13138, "aux.acc_seg": 70.34849, "loss": 0.37738, "time": 0.50801} -{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.24526, "decode.acc_seg": 72.38552, "aux.loss_seg": 0.12888, "aux.acc_seg": 70.49455, "loss": 0.37414, "time": 0.51898} -{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.24595, "decode.acc_seg": 72.98859, "aux.loss_seg": 0.13112, "aux.acc_seg": 70.94067, "loss": 0.37707, "time": 0.52466} -{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.23791, "decode.acc_seg": 72.62656, "aux.loss_seg": 0.12713, "aux.acc_seg": 70.50978, "loss": 0.36504, "time": 0.52256} -{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.24778, "decode.acc_seg": 72.03661, "aux.loss_seg": 0.12958, "aux.acc_seg": 70.16011, "loss": 0.37736, "time": 0.52333} -{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.25185, "decode.acc_seg": 71.88121, "aux.loss_seg": 0.12983, "aux.acc_seg": 70.17924, "loss": 0.38169, "time": 0.51841} -{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.25252, "decode.acc_seg": 72.50796, "aux.loss_seg": 0.13554, "aux.acc_seg": 70.33138, "loss": 0.38806, "time": 0.53254} -{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.24542, "decode.acc_seg": 72.45091, "aux.loss_seg": 0.13013, "aux.acc_seg": 70.44854, "loss": 0.37555, "time": 0.51157} -{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.24911, "decode.acc_seg": 72.28516, "aux.loss_seg": 0.12762, "aux.acc_seg": 70.61263, "loss": 0.37673, "time": 0.52482} -{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 22404, "data_time": 0.00791, "decode.loss_seg": 0.24512, "decode.acc_seg": 73.547, "aux.loss_seg": 0.12774, "aux.acc_seg": 71.70687, "loss": 0.37286, "time": 0.52381} -{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.2601, "decode.acc_seg": 73.10235, "aux.loss_seg": 0.13865, "aux.acc_seg": 70.87432, "loss": 0.39875, "time": 0.51407} -{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.25057, "decode.acc_seg": 73.46691, "aux.loss_seg": 0.13324, "aux.acc_seg": 71.49335, "loss": 0.38382, "time": 0.51013} -{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.24527, "decode.acc_seg": 73.26002, "aux.loss_seg": 0.13017, "aux.acc_seg": 71.21828, "loss": 0.37543, "time": 0.52584} -{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 22404, "data_time": 0.24618, "decode.loss_seg": 0.23603, "decode.acc_seg": 74.1214, "aux.loss_seg": 0.1265, "aux.acc_seg": 72.11106, "loss": 0.36253, "time": 0.74578} -{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23372, "decode.acc_seg": 72.60526, "aux.loss_seg": 0.12835, "aux.acc_seg": 70.33838, "loss": 0.36207, "time": 0.5073} -{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.2444, "decode.acc_seg": 73.12505, "aux.loss_seg": 0.12937, "aux.acc_seg": 71.18111, "loss": 0.37377, "time": 0.51318} -{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.23644, "decode.acc_seg": 72.14373, "aux.loss_seg": 0.12576, "aux.acc_seg": 70.16768, "loss": 0.3622, "time": 0.50964} -{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.23195, "decode.acc_seg": 73.55855, "aux.loss_seg": 0.12416, "aux.acc_seg": 71.72892, "loss": 0.35611, "time": 0.52906} -{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.25223, "decode.acc_seg": 72.90661, "aux.loss_seg": 0.13196, "aux.acc_seg": 70.87254, "loss": 0.38419, "time": 0.51069} -{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.23392, "decode.acc_seg": 73.01099, "aux.loss_seg": 0.12521, "aux.acc_seg": 71.16462, "loss": 0.35914, "time": 0.5204} -{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.22975, "decode.acc_seg": 71.26639, "aux.loss_seg": 0.12294, "aux.acc_seg": 69.31422, "loss": 0.35269, "time": 0.51601} -{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.24181, "decode.acc_seg": 72.7244, "aux.loss_seg": 0.12901, "aux.acc_seg": 70.58455, "loss": 0.37082, "time": 0.51145} -{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.24126, "decode.acc_seg": 73.70057, "aux.loss_seg": 0.13016, "aux.acc_seg": 71.66028, "loss": 0.37142, "time": 0.50884} -{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.23219, "decode.acc_seg": 71.91979, "aux.loss_seg": 0.12244, "aux.acc_seg": 70.10888, "loss": 0.35463, "time": 0.50611} -{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.23445, "decode.acc_seg": 73.33444, "aux.loss_seg": 0.12386, "aux.acc_seg": 71.33032, "loss": 0.35831, "time": 0.51105} -{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2503, "decode.acc_seg": 71.82075, "aux.loss_seg": 0.13203, "aux.acc_seg": 69.90766, "loss": 0.38233, "time": 0.50844} -{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.24128, "decode.acc_seg": 73.20093, "aux.loss_seg": 0.12789, "aux.acc_seg": 71.36238, "loss": 0.36917, "time": 0.50869} -{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.24671, "decode.acc_seg": 73.32704, "aux.loss_seg": 0.12858, "aux.acc_seg": 71.47206, "loss": 0.37529, "time": 0.50999} -{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.24352, "decode.acc_seg": 73.58963, "aux.loss_seg": 0.12647, "aux.acc_seg": 71.78338, "loss": 0.36999, "time": 0.51272} -{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.23324, "decode.acc_seg": 73.16644, "aux.loss_seg": 0.1222, "aux.acc_seg": 71.48091, "loss": 0.35543, "time": 0.52192} -{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.25194, "decode.acc_seg": 73.45572, "aux.loss_seg": 0.1333, "aux.acc_seg": 71.35931, "loss": 0.38524, "time": 0.5271} -{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.25107, "decode.acc_seg": 73.4298, "aux.loss_seg": 0.13315, "aux.acc_seg": 71.29344, "loss": 0.38422, "time": 0.53305} -{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.22758, "decode.acc_seg": 73.6188, "aux.loss_seg": 0.1221, "aux.acc_seg": 71.57838, "loss": 0.34968, "time": 0.54562} -{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.24356, "decode.acc_seg": 72.85422, "aux.loss_seg": 0.12646, "aux.acc_seg": 70.99454, "loss": 0.37002, "time": 0.5092} -{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.25355, "decode.acc_seg": 72.68777, "aux.loss_seg": 0.13161, "aux.acc_seg": 70.6962, "loss": 0.38516, "time": 0.52254} -{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.23915, "decode.acc_seg": 73.61665, "aux.loss_seg": 0.12254, "aux.acc_seg": 71.85755, "loss": 0.36169, "time": 0.52515} -{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.24703, "decode.acc_seg": 72.68303, "aux.loss_seg": 0.13028, "aux.acc_seg": 70.88227, "loss": 0.37731, "time": 0.52707} -{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.26257, "decode.acc_seg": 73.16918, "aux.loss_seg": 0.13533, "aux.acc_seg": 71.16776, "loss": 0.3979, "time": 0.53944} -{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 22404, "data_time": 0.2444, "decode.loss_seg": 0.24345, "decode.acc_seg": 73.78249, "aux.loss_seg": 0.13001, "aux.acc_seg": 71.79636, "loss": 0.37347, "time": 0.74352} -{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.23722, "decode.acc_seg": 74.09268, "aux.loss_seg": 0.12832, "aux.acc_seg": 71.92604, "loss": 0.36554, "time": 0.51112} -{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23175, "decode.acc_seg": 72.78237, "aux.loss_seg": 0.12164, "aux.acc_seg": 71.00396, "loss": 0.35339, "time": 0.50636} -{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.24871, "decode.acc_seg": 72.38471, "aux.loss_seg": 0.13202, "aux.acc_seg": 70.29764, "loss": 0.38073, "time": 0.50893} -{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.24676, "decode.acc_seg": 72.93272, "aux.loss_seg": 0.12969, "aux.acc_seg": 71.05582, "loss": 0.37646, "time": 0.51694} -{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.24213, "decode.acc_seg": 72.81534, "aux.loss_seg": 0.13137, "aux.acc_seg": 70.779, "loss": 0.37351, "time": 0.51719} -{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.24905, "decode.acc_seg": 73.43313, "aux.loss_seg": 0.13199, "aux.acc_seg": 71.45046, "loss": 0.38104, "time": 0.51867} -{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.23612, "decode.acc_seg": 72.29641, "aux.loss_seg": 0.12413, "aux.acc_seg": 70.64024, "loss": 0.36025, "time": 0.51266} -{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.25096, "decode.acc_seg": 72.67236, "aux.loss_seg": 0.13191, "aux.acc_seg": 70.57021, "loss": 0.38286, "time": 0.52263} -{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.23732, "decode.acc_seg": 72.06042, "aux.loss_seg": 0.12671, "aux.acc_seg": 70.16796, "loss": 0.36404, "time": 0.53122} -{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.2371, "decode.acc_seg": 73.86409, "aux.loss_seg": 0.12637, "aux.acc_seg": 71.89182, "loss": 0.36347, "time": 0.52357} -{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23622, "decode.acc_seg": 73.15545, "aux.loss_seg": 0.12438, "aux.acc_seg": 71.28721, "loss": 0.3606, "time": 0.50945} -{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.23745, "decode.acc_seg": 70.86347, "aux.loss_seg": 0.12671, "aux.acc_seg": 68.91091, "loss": 0.36416, "time": 0.51575} -{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.23446, "decode.acc_seg": 73.16811, "aux.loss_seg": 0.12225, "aux.acc_seg": 71.5191, "loss": 0.35671, "time": 0.53235} -{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.24117, "decode.acc_seg": 72.30065, "aux.loss_seg": 0.13015, "aux.acc_seg": 70.20239, "loss": 0.37133, "time": 0.51213} -{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.23878, "decode.acc_seg": 72.54228, "aux.loss_seg": 0.12458, "aux.acc_seg": 70.75671, "loss": 0.36336, "time": 0.52709} -{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.23529, "decode.acc_seg": 72.13594, "aux.loss_seg": 0.12204, "aux.acc_seg": 70.55095, "loss": 0.35733, "time": 0.52513} -{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.24437, "decode.acc_seg": 73.77335, "aux.loss_seg": 0.12641, "aux.acc_seg": 72.08068, "loss": 0.37078, "time": 0.50804} -{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.2441, "decode.acc_seg": 72.86187, "aux.loss_seg": 0.12978, "aux.acc_seg": 70.91893, "loss": 0.37389, "time": 0.50567} -{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.23383, "decode.acc_seg": 73.24369, "aux.loss_seg": 0.12314, "aux.acc_seg": 71.28228, "loss": 0.35698, "time": 0.50733} -{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.23516, "decode.acc_seg": 72.85721, "aux.loss_seg": 0.12343, "aux.acc_seg": 71.04212, "loss": 0.35859, "time": 0.50847} -{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.23241, "decode.acc_seg": 73.16332, "aux.loss_seg": 0.1245, "aux.acc_seg": 71.24111, "loss": 0.35691, "time": 0.51988} -{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.23671, "decode.acc_seg": 73.37723, "aux.loss_seg": 0.12874, "aux.acc_seg": 71.39227, "loss": 0.36546, "time": 0.51155} -{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.24155, "decode.acc_seg": 73.73796, "aux.loss_seg": 0.12882, "aux.acc_seg": 71.67049, "loss": 0.37038, "time": 0.51288} -{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.24634, "decode.acc_seg": 74.10426, "aux.loss_seg": 0.13086, "aux.acc_seg": 72.19082, "loss": 0.37721, "time": 0.50847} -{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 22404, "data_time": 0.24794, "decode.loss_seg": 0.22745, "decode.acc_seg": 72.62104, "aux.loss_seg": 0.11954, "aux.acc_seg": 70.72387, "loss": 0.34699, "time": 0.7521} -{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.24297, "decode.acc_seg": 73.15858, "aux.loss_seg": 0.12727, "aux.acc_seg": 71.27, "loss": 0.37024, "time": 0.51279} -{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.23532, "decode.acc_seg": 73.28763, "aux.loss_seg": 0.12557, "aux.acc_seg": 71.27373, "loss": 0.36089, "time": 0.52204} -{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.20714, "decode.acc_seg": 73.71862, "aux.loss_seg": 0.1122, "aux.acc_seg": 71.84682, "loss": 0.31934, "time": 0.5153} -{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.22664, "decode.acc_seg": 73.62081, "aux.loss_seg": 0.12309, "aux.acc_seg": 71.77234, "loss": 0.34973, "time": 0.51697} -{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.23116, "decode.acc_seg": 72.35747, "aux.loss_seg": 0.12592, "aux.acc_seg": 70.16725, "loss": 0.35708, "time": 0.51262} -{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.233, "decode.acc_seg": 72.62341, "aux.loss_seg": 0.12157, "aux.acc_seg": 70.96877, "loss": 0.35457, "time": 0.51147} -{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.24679, "decode.acc_seg": 72.68539, "aux.loss_seg": 0.13109, "aux.acc_seg": 70.56725, "loss": 0.37787, "time": 0.51082} -{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.23033, "decode.acc_seg": 72.66699, "aux.loss_seg": 0.12067, "aux.acc_seg": 70.94018, "loss": 0.351, "time": 0.54265} -{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.22711, "decode.acc_seg": 74.11447, "aux.loss_seg": 0.12253, "aux.acc_seg": 72.05659, "loss": 0.34965, "time": 0.53967} -{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.24399, "decode.acc_seg": 73.02462, "aux.loss_seg": 0.12976, "aux.acc_seg": 71.0618, "loss": 0.37375, "time": 0.5199} -{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.24563, "decode.acc_seg": 73.86689, "aux.loss_seg": 0.1325, "aux.acc_seg": 71.6641, "loss": 0.37813, "time": 0.51176} -{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.24548, "decode.acc_seg": 73.46425, "aux.loss_seg": 0.12842, "aux.acc_seg": 71.71189, "loss": 0.3739, "time": 0.51548} -{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.25611, "decode.acc_seg": 73.38411, "aux.loss_seg": 0.13423, "aux.acc_seg": 71.57484, "loss": 0.39034, "time": 0.5147} -{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.23965, "decode.acc_seg": 72.87028, "aux.loss_seg": 0.12727, "aux.acc_seg": 70.84171, "loss": 0.36693, "time": 0.51616} -{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.23717, "decode.acc_seg": 72.66388, "aux.loss_seg": 0.12429, "aux.acc_seg": 70.92687, "loss": 0.36146, "time": 0.50686} -{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.24304, "decode.acc_seg": 74.7916, "aux.loss_seg": 0.12857, "aux.acc_seg": 72.85895, "loss": 0.37161, "time": 0.50939} -{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.24318, "decode.acc_seg": 73.00099, "aux.loss_seg": 0.13171, "aux.acc_seg": 70.73424, "loss": 0.37489, "time": 0.5082} -{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.24352, "decode.acc_seg": 72.16312, "aux.loss_seg": 0.12795, "aux.acc_seg": 70.24025, "loss": 0.37147, "time": 0.51003} -{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.2247, "decode.acc_seg": 72.67067, "aux.loss_seg": 0.12159, "aux.acc_seg": 70.74551, "loss": 0.34629, "time": 0.51908} -{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.25112, "decode.acc_seg": 73.72491, "aux.loss_seg": 0.131, "aux.acc_seg": 71.98803, "loss": 0.38212, "time": 0.52114} -{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23247, "decode.acc_seg": 74.28067, "aux.loss_seg": 0.12297, "aux.acc_seg": 72.35776, "loss": 0.35544, "time": 0.51388} -{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.25211, "decode.acc_seg": 72.04008, "aux.loss_seg": 0.13034, "aux.acc_seg": 70.05441, "loss": 0.38245, "time": 0.51751} -{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.25063, "decode.acc_seg": 71.48185, "aux.loss_seg": 0.13248, "aux.acc_seg": 69.37452, "loss": 0.38311, "time": 0.5167} -{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.24038, "decode.acc_seg": 73.33602, "aux.loss_seg": 0.12884, "aux.acc_seg": 71.21707, "loss": 0.36922, "time": 0.51378} -{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 22404, "data_time": 0.25467, "decode.loss_seg": 0.23479, "decode.acc_seg": 72.32829, "aux.loss_seg": 0.12563, "aux.acc_seg": 70.31976, "loss": 0.36042, "time": 0.75975} -{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.23309, "decode.acc_seg": 73.52457, "aux.loss_seg": 0.1263, "aux.acc_seg": 71.5089, "loss": 0.35939, "time": 0.51416} -{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.24564, "decode.acc_seg": 72.00199, "aux.loss_seg": 0.1278, "aux.acc_seg": 70.17359, "loss": 0.37344, "time": 0.51067} -{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.22086, "decode.acc_seg": 73.72669, "aux.loss_seg": 0.11789, "aux.acc_seg": 71.94744, "loss": 0.33875, "time": 0.51036} -{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23248, "decode.acc_seg": 72.76574, "aux.loss_seg": 0.12449, "aux.acc_seg": 70.58256, "loss": 0.35697, "time": 0.52133} -{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.2367, "decode.acc_seg": 73.03253, "aux.loss_seg": 0.12242, "aux.acc_seg": 71.28568, "loss": 0.35912, "time": 0.51353} -{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.22795, "decode.acc_seg": 71.89429, "aux.loss_seg": 0.12047, "aux.acc_seg": 69.8693, "loss": 0.34841, "time": 0.51361} -{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.23732, "decode.acc_seg": 74.05188, "aux.loss_seg": 0.12796, "aux.acc_seg": 71.92443, "loss": 0.36528, "time": 0.51141} -{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.22106, "decode.acc_seg": 74.3969, "aux.loss_seg": 0.11659, "aux.acc_seg": 72.63496, "loss": 0.33765, "time": 0.51275} -{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.24218, "decode.acc_seg": 72.6114, "aux.loss_seg": 0.12651, "aux.acc_seg": 70.82666, "loss": 0.36869, "time": 0.51104} -{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.23823, "decode.acc_seg": 73.5192, "aux.loss_seg": 0.12887, "aux.acc_seg": 71.26589, "loss": 0.3671, "time": 0.51218} -{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.23979, "decode.acc_seg": 72.84149, "aux.loss_seg": 0.12693, "aux.acc_seg": 71.13697, "loss": 0.36673, "time": 0.51717} -{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.22782, "decode.acc_seg": 73.38339, "aux.loss_seg": 0.12219, "aux.acc_seg": 71.44302, "loss": 0.35001, "time": 0.51991} -{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.25038, "decode.acc_seg": 71.41754, "aux.loss_seg": 0.1293, "aux.acc_seg": 69.67558, "loss": 0.37968, "time": 0.52933} -{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.23605, "decode.acc_seg": 73.21058, "aux.loss_seg": 0.12437, "aux.acc_seg": 71.38389, "loss": 0.36042, "time": 0.5307} -{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.2486, "decode.acc_seg": 74.19822, "aux.loss_seg": 0.13361, "aux.acc_seg": 71.9601, "loss": 0.38221, "time": 0.51026} -{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.25984, "decode.acc_seg": 72.11577, "aux.loss_seg": 0.13732, "aux.acc_seg": 69.96818, "loss": 0.39716, "time": 0.51315} -{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.22746, "decode.acc_seg": 72.68422, "aux.loss_seg": 0.12073, "aux.acc_seg": 70.80102, "loss": 0.34819, "time": 0.51183} -{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.24353, "decode.acc_seg": 72.35065, "aux.loss_seg": 0.13023, "aux.acc_seg": 70.22303, "loss": 0.37376, "time": 0.51231} -{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.25533, "decode.acc_seg": 72.14826, "aux.loss_seg": 0.13185, "aux.acc_seg": 70.39146, "loss": 0.38718, "time": 0.5126} -{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.2341, "decode.acc_seg": 73.44024, "aux.loss_seg": 0.12415, "aux.acc_seg": 71.5013, "loss": 0.35825, "time": 0.51503} -{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.23492, "decode.acc_seg": 74.18005, "aux.loss_seg": 0.12664, "aux.acc_seg": 72.07677, "loss": 0.36156, "time": 0.51694} -{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.25136, "decode.acc_seg": 73.00985, "aux.loss_seg": 0.12971, "aux.acc_seg": 71.41427, "loss": 0.38107, "time": 0.52687} -{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.23806, "decode.acc_seg": 73.59029, "aux.loss_seg": 0.12734, "aux.acc_seg": 71.68949, "loss": 0.3654, "time": 0.51992} -{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.24693, "decode.acc_seg": 72.61685, "aux.loss_seg": 0.12918, "aux.acc_seg": 70.85621, "loss": 0.37611, "time": 0.51542} -{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.23092, "decode.acc_seg": 72.25783, "aux.loss_seg": 0.12168, "aux.acc_seg": 70.33939, "loss": 0.3526, "time": 0.51279} -{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 22404, "data_time": 0.24703, "decode.loss_seg": 0.24495, "decode.acc_seg": 72.47162, "aux.loss_seg": 0.1303, "aux.acc_seg": 70.3759, "loss": 0.37525, "time": 0.75574} -{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.22783, "decode.acc_seg": 73.58199, "aux.loss_seg": 0.12363, "aux.acc_seg": 71.51258, "loss": 0.35146, "time": 0.5189} -{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.22195, "decode.acc_seg": 72.70542, "aux.loss_seg": 0.11974, "aux.acc_seg": 70.83203, "loss": 0.34169, "time": 0.51557} -{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.23442, "decode.acc_seg": 73.42195, "aux.loss_seg": 0.12482, "aux.acc_seg": 71.57142, "loss": 0.35923, "time": 0.52502} -{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.22547, "decode.acc_seg": 73.35407, "aux.loss_seg": 0.11896, "aux.acc_seg": 71.51355, "loss": 0.34443, "time": 0.51743} -{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.22829, "decode.acc_seg": 72.97534, "aux.loss_seg": 0.12164, "aux.acc_seg": 71.11599, "loss": 0.34993, "time": 0.51517} -{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.23417, "decode.acc_seg": 73.86014, "aux.loss_seg": 0.12574, "aux.acc_seg": 71.84428, "loss": 0.35991, "time": 0.51753} -{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.22446, "decode.acc_seg": 72.21812, "aux.loss_seg": 0.12158, "aux.acc_seg": 70.32041, "loss": 0.34604, "time": 0.51584} -{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.22004, "decode.acc_seg": 73.96975, "aux.loss_seg": 0.1195, "aux.acc_seg": 71.80763, "loss": 0.33954, "time": 0.52937} -{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.23082, "decode.acc_seg": 73.97749, "aux.loss_seg": 0.12376, "aux.acc_seg": 71.9817, "loss": 0.35458, "time": 0.53132} -{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.2233, "decode.acc_seg": 73.00176, "aux.loss_seg": 0.11948, "aux.acc_seg": 71.22985, "loss": 0.34278, "time": 0.51108} -{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.23568, "decode.acc_seg": 73.73629, "aux.loss_seg": 0.13028, "aux.acc_seg": 71.55085, "loss": 0.36596, "time": 0.51402} -{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.23398, "decode.acc_seg": 72.78856, "aux.loss_seg": 0.12267, "aux.acc_seg": 70.93351, "loss": 0.35665, "time": 0.52406} -{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.24084, "decode.acc_seg": 72.61857, "aux.loss_seg": 0.12652, "aux.acc_seg": 70.64211, "loss": 0.36737, "time": 0.52191} -{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.23013, "decode.acc_seg": 72.90924, "aux.loss_seg": 0.12146, "aux.acc_seg": 71.09264, "loss": 0.35159, "time": 0.52214} -{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.23026, "decode.acc_seg": 72.01762, "aux.loss_seg": 0.12116, "aux.acc_seg": 70.09458, "loss": 0.35141, "time": 0.51926} -{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.24598, "decode.acc_seg": 73.77847, "aux.loss_seg": 0.12667, "aux.acc_seg": 71.9405, "loss": 0.37264, "time": 0.51447} -{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.23153, "decode.acc_seg": 71.19623, "aux.loss_seg": 0.12189, "aux.acc_seg": 69.37873, "loss": 0.35342, "time": 0.52679} -{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.23077, "decode.acc_seg": 74.27547, "aux.loss_seg": 0.12355, "aux.acc_seg": 72.27886, "loss": 0.35431, "time": 0.51289} -{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.23426, "decode.acc_seg": 73.38902, "aux.loss_seg": 0.12515, "aux.acc_seg": 71.38855, "loss": 0.35942, "time": 0.53543} -{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.22351, "decode.acc_seg": 71.65288, "aux.loss_seg": 0.11832, "aux.acc_seg": 69.88359, "loss": 0.34183, "time": 0.52851} -{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.22928, "decode.acc_seg": 72.93186, "aux.loss_seg": 0.12456, "aux.acc_seg": 70.72996, "loss": 0.35385, "time": 0.52663} -{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.23122, "decode.acc_seg": 74.20107, "aux.loss_seg": 0.12248, "aux.acc_seg": 72.31746, "loss": 0.3537, "time": 0.54491} -{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.23215, "decode.acc_seg": 72.77906, "aux.loss_seg": 0.12672, "aux.acc_seg": 70.80673, "loss": 0.35887, "time": 0.51887} -{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.22086, "decode.acc_seg": 73.55574, "aux.loss_seg": 0.12141, "aux.acc_seg": 71.4701, "loss": 0.34227, "time": 0.52192} -{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 22404, "data_time": 0.24923, "decode.loss_seg": 0.24054, "decode.acc_seg": 74.88921, "aux.loss_seg": 0.12812, "aux.acc_seg": 72.87744, "loss": 0.36866, "time": 0.7583} -{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.22654, "decode.acc_seg": 74.86707, "aux.loss_seg": 0.12199, "aux.acc_seg": 72.90084, "loss": 0.34853, "time": 0.5285} -{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.22144, "decode.acc_seg": 73.3397, "aux.loss_seg": 0.1203, "aux.acc_seg": 71.30096, "loss": 0.34174, "time": 0.52433} -{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.23215, "decode.acc_seg": 73.70841, "aux.loss_seg": 0.12144, "aux.acc_seg": 71.77064, "loss": 0.35359, "time": 0.53726} -{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.23872, "decode.acc_seg": 74.56523, "aux.loss_seg": 0.1284, "aux.acc_seg": 72.54987, "loss": 0.36711, "time": 0.52596} -{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.21603, "decode.acc_seg": 72.96465, "aux.loss_seg": 0.11803, "aux.acc_seg": 70.85909, "loss": 0.33406, "time": 0.52527} -{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.21562, "decode.acc_seg": 73.12957, "aux.loss_seg": 0.117, "aux.acc_seg": 71.0977, "loss": 0.33262, "time": 0.54166} -{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.23506, "decode.acc_seg": 71.91294, "aux.loss_seg": 0.12378, "aux.acc_seg": 70.16283, "loss": 0.35885, "time": 0.52471} -{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4623, "mAcc": 0.5864, "aAcc": 0.8163, "IoU.wall": 0.7529, "IoU.building": 0.8085, "IoU.sky": 0.9375, "IoU.floor": 0.8007, "IoU.tree": 0.7326, "IoU.ceiling": 0.8296, "IoU.road": 0.8221, "IoU.bed ": 0.8732, "IoU.windowpane": 0.6029, "IoU.grass": 0.6671, "IoU.cabinet": 0.572, "IoU.sidewalk": 0.64, "IoU.person": 0.7703, "IoU.earth": 0.3634, "IoU.door": 0.4309, "IoU.table": 0.5321, "IoU.mountain": 0.564, "IoU.plant": 0.5124, "IoU.curtain": 0.7285, "IoU.chair": 0.5314, "IoU.car": 0.8268, "IoU.water": 0.5008, "IoU.painting": 0.6989, "IoU.sofa": 0.5976, "IoU.shelf": 0.4338, "IoU.house": 0.4273, "IoU.sea": 0.4835, "IoU.mirror": 0.6355, "IoU.rug": 0.55, "IoU.field": 0.2669, "IoU.armchair": 0.3648, "IoU.seat": 0.632, "IoU.fence": 0.4696, "IoU.desk": 0.4603, "IoU.rock": 0.4003, "IoU.wardrobe": 0.4676, "IoU.lamp": 0.5862, "IoU.bathtub": 0.7331, "IoU.railing": 0.3468, "IoU.cushion": 0.5216, "IoU.base": 0.3329, "IoU.box": 0.2558, "IoU.column": 0.452, "IoU.signboard": 0.357, "IoU.chest of drawers": 0.3888, "IoU.counter": 0.3338, "IoU.sand": 0.54, "IoU.sink": 0.6764, "IoU.skyscraper": 0.512, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7031, "IoU.grandstand": 0.3938, "IoU.path": 0.1837, "IoU.stairs": 0.3199, "IoU.runway": 0.6912, "IoU.case": 0.4749, "IoU.pool table": 0.9066, "IoU.pillow": 0.5275, "IoU.screen door": 0.5456, "IoU.stairway": 0.3748, "IoU.river": 0.1056, "IoU.bridge": 0.6858, "IoU.bookcase": 0.4307, "IoU.blind": NaN, "IoU.coffee table": 0.4947, "IoU.toilet": 0.8022, "IoU.flower": 0.404, "IoU.book": 0.4363, "IoU.hill": 0.0339, "IoU.bench": 0.5397, "IoU.countertop": 0.5116, "IoU.stove": 0.6757, "IoU.palm": 0.4729, "IoU.kitchen island": 0.3108, "IoU.computer": 0.7053, "IoU.swivel chair": 0.4133, "IoU.boat": 0.3702, "IoU.bar": 0.2604, "IoU.arcade machine": 0.4475, "IoU.hovel": 0.2489, "IoU.bus": 0.8711, "IoU.towel": 0.5508, "IoU.light": 0.5038, "IoU.truck": 0.2477, "IoU.tower": 0.0726, "IoU.chandelier": 0.6394, "IoU.awning": 0.2421, "IoU.streetlight": 0.2088, "IoU.booth": 0.5398, "IoU.television receiver": NaN, "IoU.airplane": 0.5595, "IoU.dirt track": 0.1176, "IoU.apparel": 0.2567, "IoU.pole": 0.1587, "IoU.land": 0.0455, "IoU.bannister": 0.1283, "IoU.escalator": 0.4658, "IoU.ottoman": 0.326, "IoU.bottle": NaN, "IoU.buffet": 0.4616, "IoU.poster": 0.3568, "IoU.stage": 0.1327, "IoU.van": 0.3896, "IoU.ship": 0.5301, "IoU.fountain": 0.2642, "IoU.conveyer belt": 0.7201, "IoU.canopy": 0.2376, "IoU.washer": 0.7518, "IoU.plaything": 0.2484, "IoU.swimming pool": 0.6002, "IoU.stool": 0.3962, "IoU.barrel": 0.5284, "IoU.basket": 0.3048, "IoU.waterfall": 0.589, "IoU.tent": 0.6505, "IoU.bag": 0.1067, "IoU.minibike": 0.7271, "IoU.cradle": NaN, "IoU.oven": 0.2729, "IoU.ball": 0.5028, "IoU.food": 0.4255, "IoU.step": 0.143, "IoU.tank": 0.5403, "IoU.trade name": 0.1811, "IoU.microwave": 0.6907, "IoU.pot": 0.5268, "IoU.animal": NaN, "IoU.bicycle": 0.5005, "IoU.lake": 0.5159, "IoU.dishwasher": 0.4179, "IoU.screen": 0.659, "IoU.blanket": 0.1385, "IoU.sculpture": 0.4973, "IoU.hood": 0.582, "IoU.sconce": 0.3965, "IoU.vase": 0.322, "IoU.traffic light": 0.2405, "IoU.tray": 0.0552, "IoU.ashcan": 0.3391, "IoU.fan": 0.5462, "IoU.pier": 0.3542, "IoU.crt screen": 0.0467, "IoU.plate": 0.5235, "IoU.monitor": 0.0736, "IoU.bulletin board": 0.3561, "IoU.shower": 0.011, "IoU.radiator": 0.5968, "IoU.glass": 0.1124, "IoU.clock": 0.3256, "IoU.flag": 0.5479, "Acc.wall": 0.8734, "Acc.building": 0.9257, "Acc.sky": 0.9734, "Acc.floor": 0.8903, "Acc.tree": 0.8559, "Acc.ceiling": 0.9011, "Acc.road": 0.902, "Acc.bed ": 0.9455, "Acc.windowpane": 0.7648, "Acc.grass": 0.7807, "Acc.cabinet": 0.6908, "Acc.sidewalk": 0.791, "Acc.person": 0.9006, "Acc.earth": 0.5565, "Acc.door": 0.5408, "Acc.table": 0.7204, "Acc.mountain": 0.7737, "Acc.plant": 0.643, "Acc.curtain": 0.8363, "Acc.chair": 0.6661, "Acc.car": 0.9087, "Acc.water": 0.6685, "Acc.painting": 0.8405, "Acc.sofa": 0.8197, "Acc.shelf": 0.6039, "Acc.house": 0.5502, "Acc.sea": 0.695, "Acc.mirror": 0.7618, "Acc.rug": 0.6364, "Acc.field": 0.4025, "Acc.armchair": 0.5258, "Acc.seat": 0.7969, "Acc.fence": 0.575, "Acc.desk": 0.5908, "Acc.rock": 0.6119, "Acc.wardrobe": 0.5728, "Acc.lamp": 0.7009, "Acc.bathtub": 0.8123, "Acc.railing": 0.4923, "Acc.cushion": 0.7111, "Acc.base": 0.5038, "Acc.box": 0.3268, "Acc.column": 0.5982, "Acc.signboard": 0.5033, "Acc.chest of drawers": 0.5879, "Acc.counter": 0.4387, "Acc.sand": 0.6517, "Acc.sink": 0.7798, "Acc.skyscraper": 0.6156, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8438, "Acc.grandstand": 0.6786, "Acc.path": 0.2423, "Acc.stairs": 0.4225, "Acc.runway": 0.9659, "Acc.case": 0.6483, "Acc.pool table": 0.9544, "Acc.pillow": 0.6277, "Acc.screen door": 0.5825, "Acc.stairway": 0.4914, "Acc.river": 0.2174, "Acc.bridge": 0.7804, "Acc.bookcase": 0.5394, "Acc.blind": NaN, "Acc.coffee table": 0.7587, "Acc.toilet": 0.8918, "Acc.flower": 0.5793, "Acc.book": 0.617, "Acc.hill": 0.0511, "Acc.bench": 0.6217, "Acc.countertop": 0.6838, "Acc.stove": 0.7773, "Acc.palm": 0.6845, "Acc.kitchen island": 0.856, "Acc.computer": 0.8363, "Acc.swivel chair": 0.5763, "Acc.boat": 0.448, "Acc.bar": 0.3264, "Acc.arcade machine": 0.474, "Acc.hovel": 0.2804, "Acc.bus": 0.9536, "Acc.towel": 0.7511, "Acc.light": 0.5634, "Acc.truck": 0.3342, "Acc.tower": 0.1233, "Acc.chandelier": 0.8196, "Acc.awning": 0.3055, "Acc.streetlight": 0.2827, "Acc.booth": 0.626, "Acc.television receiver": NaN, "Acc.airplane": 0.7097, "Acc.dirt track": 0.1746, "Acc.apparel": 0.4598, "Acc.pole": 0.2111, "Acc.land": 0.0721, "Acc.bannister": 0.1744, "Acc.escalator": 0.5754, "Acc.ottoman": 0.3838, "Acc.bottle": NaN, "Acc.buffet": 0.5379, "Acc.poster": 0.4795, "Acc.stage": 0.2394, "Acc.van": 0.5291, "Acc.ship": 0.8766, "Acc.fountain": 0.267, "Acc.conveyer belt": 0.838, "Acc.canopy": 0.3871, "Acc.washer": 0.7721, "Acc.plaything": 0.3717, "Acc.swimming pool": 0.8462, "Acc.stool": 0.4877, "Acc.barrel": 0.6427, "Acc.basket": 0.4313, "Acc.waterfall": 0.6962, "Acc.tent": 0.99, "Acc.bag": 0.1461, "Acc.minibike": 0.8556, "Acc.cradle": NaN, "Acc.oven": 0.4581, "Acc.ball": 0.6561, "Acc.food": 0.4975, "Acc.step": 0.1619, "Acc.tank": 0.6396, "Acc.trade name": 0.2046, "Acc.microwave": 0.8133, "Acc.pot": 0.5871, "Acc.animal": NaN, "Acc.bicycle": 0.7757, "Acc.lake": 0.5164, "Acc.dishwasher": 0.6484, "Acc.screen": 0.8809, "Acc.blanket": 0.1591, "Acc.sculpture": 0.7951, "Acc.hood": 0.6551, "Acc.sconce": 0.5007, "Acc.vase": 0.4798, "Acc.traffic light": 0.3248, "Acc.tray": 0.1137, "Acc.ashcan": 0.4543, "Acc.fan": 0.6944, "Acc.pier": 0.5053, "Acc.crt screen": 0.113, "Acc.plate": 0.7098, "Acc.monitor": 0.0801, "Acc.bulletin board": 0.512, "Acc.shower": 0.0945, "Acc.radiator": 0.6743, "Acc.glass": 0.1222, "Acc.clock": 0.4043, "Acc.flag": 0.6177} -{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 22404, "data_time": 1.60028, "decode.loss_seg": 0.24652, "decode.acc_seg": 73.61809, "aux.loss_seg": 0.1356, "aux.acc_seg": 71.27849, "loss": 0.38212, "time": 2.11198} -{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.23715, "decode.acc_seg": 73.14206, "aux.loss_seg": 0.12624, "aux.acc_seg": 71.1184, "loss": 0.36339, "time": 0.51925} -{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.24159, "decode.acc_seg": 72.0151, "aux.loss_seg": 0.12865, "aux.acc_seg": 70.07481, "loss": 0.37024, "time": 0.51113} -{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.25002, "decode.acc_seg": 74.35085, "aux.loss_seg": 0.12922, "aux.acc_seg": 72.61133, "loss": 0.37924, "time": 0.51244} -{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.24003, "decode.acc_seg": 72.72836, "aux.loss_seg": 0.12748, "aux.acc_seg": 70.66462, "loss": 0.36751, "time": 0.52941} -{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.24064, "decode.acc_seg": 72.4314, "aux.loss_seg": 0.12838, "aux.acc_seg": 70.4214, "loss": 0.36902, "time": 0.53709} -{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.23088, "decode.acc_seg": 73.1848, "aux.loss_seg": 0.12142, "aux.acc_seg": 71.4737, "loss": 0.3523, "time": 0.51287} -{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.2285, "decode.acc_seg": 72.79454, "aux.loss_seg": 0.12284, "aux.acc_seg": 70.68765, "loss": 0.35134, "time": 0.51991} -{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 22404, "data_time": 0.00627, "decode.loss_seg": 0.23439, "decode.acc_seg": 73.95632, "aux.loss_seg": 0.12719, "aux.acc_seg": 71.83923, "loss": 0.36158, "time": 0.51488} -{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.21517, "decode.acc_seg": 73.6336, "aux.loss_seg": 0.11782, "aux.acc_seg": 71.7036, "loss": 0.333, "time": 0.51349} -{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.22978, "decode.acc_seg": 73.23204, "aux.loss_seg": 0.12591, "aux.acc_seg": 71.08656, "loss": 0.35568, "time": 0.53032} -{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.22268, "decode.acc_seg": 72.122, "aux.loss_seg": 0.1188, "aux.acc_seg": 70.2942, "loss": 0.34148, "time": 0.54287} -{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.23858, "decode.acc_seg": 73.7139, "aux.loss_seg": 0.12569, "aux.acc_seg": 71.80102, "loss": 0.36427, "time": 0.53606} -{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 22404, "data_time": 0.00631, "decode.loss_seg": 0.22615, "decode.acc_seg": 71.85139, "aux.loss_seg": 0.12081, "aux.acc_seg": 69.91944, "loss": 0.34695, "time": 0.51237} -{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 22404, "data_time": 0.00624, "decode.loss_seg": 0.21917, "decode.acc_seg": 72.86545, "aux.loss_seg": 0.11592, "aux.acc_seg": 71.05859, "loss": 0.33509, "time": 0.50925} -{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 22404, "data_time": 0.00611, "decode.loss_seg": 0.22683, "decode.acc_seg": 74.30602, "aux.loss_seg": 0.12436, "aux.acc_seg": 72.1317, "loss": 0.35118, "time": 0.51322} -{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 22404, "data_time": 0.25497, "decode.loss_seg": 0.23093, "decode.acc_seg": 73.45439, "aux.loss_seg": 0.12379, "aux.acc_seg": 71.35266, "loss": 0.35472, "time": 0.77407} -{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.22758, "decode.acc_seg": 72.84682, "aux.loss_seg": 0.12388, "aux.acc_seg": 70.72767, "loss": 0.35146, "time": 0.52013} -{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.22435, "decode.acc_seg": 72.80639, "aux.loss_seg": 0.12054, "aux.acc_seg": 70.83649, "loss": 0.3449, "time": 0.50938} -{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.21698, "decode.acc_seg": 74.25927, "aux.loss_seg": 0.12156, "aux.acc_seg": 71.91878, "loss": 0.33854, "time": 0.51185} -{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.23433, "decode.acc_seg": 72.78049, "aux.loss_seg": 0.12484, "aux.acc_seg": 70.98247, "loss": 0.35917, "time": 0.5123} -{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.21318, "decode.acc_seg": 73.88709, "aux.loss_seg": 0.11476, "aux.acc_seg": 71.98578, "loss": 0.32793, "time": 0.51022} -{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.23244, "decode.acc_seg": 74.06765, "aux.loss_seg": 0.12206, "aux.acc_seg": 72.04813, "loss": 0.3545, "time": 0.53101} -{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.23393, "decode.acc_seg": 72.92111, "aux.loss_seg": 0.12511, "aux.acc_seg": 70.94868, "loss": 0.35904, "time": 0.53258} -{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.22257, "decode.acc_seg": 72.92767, "aux.loss_seg": 0.11888, "aux.acc_seg": 71.00582, "loss": 0.34145, "time": 0.54453} -{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 22404, "data_time": 0.00644, "decode.loss_seg": 0.23424, "decode.acc_seg": 72.86182, "aux.loss_seg": 0.12409, "aux.acc_seg": 70.79656, "loss": 0.35832, "time": 0.51937} -{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.21553, "decode.acc_seg": 72.51522, "aux.loss_seg": 0.11585, "aux.acc_seg": 70.67154, "loss": 0.33138, "time": 0.51246} -{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.224, "decode.acc_seg": 73.83496, "aux.loss_seg": 0.11976, "aux.acc_seg": 71.83555, "loss": 0.34376, "time": 0.52803} -{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 22404, "data_time": 0.00659, "decode.loss_seg": 0.22217, "decode.acc_seg": 72.461, "aux.loss_seg": 0.11885, "aux.acc_seg": 70.49963, "loss": 0.34102, "time": 0.51609} -{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.23855, "decode.acc_seg": 73.35637, "aux.loss_seg": 0.13035, "aux.acc_seg": 71.11895, "loss": 0.3689, "time": 0.51419} -{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.22224, "decode.acc_seg": 73.74272, "aux.loss_seg": 0.11708, "aux.acc_seg": 72.0138, "loss": 0.33932, "time": 0.5096} -{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.21717, "decode.acc_seg": 73.98384, "aux.loss_seg": 0.11573, "aux.acc_seg": 72.17594, "loss": 0.33291, "time": 0.51391} -{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.22767, "decode.acc_seg": 74.10895, "aux.loss_seg": 0.12308, "aux.acc_seg": 72.02958, "loss": 0.35075, "time": 0.514} -{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.22517, "decode.acc_seg": 73.12324, "aux.loss_seg": 0.12158, "aux.acc_seg": 71.06793, "loss": 0.34675, "time": 0.51375} -{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.23962, "decode.acc_seg": 73.39836, "aux.loss_seg": 0.12829, "aux.acc_seg": 71.39069, "loss": 0.36791, "time": 0.52045} -{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.22617, "decode.acc_seg": 74.71691, "aux.loss_seg": 0.12015, "aux.acc_seg": 72.91959, "loss": 0.34633, "time": 0.51314} -{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.22151, "decode.acc_seg": 73.35667, "aux.loss_seg": 0.11971, "aux.acc_seg": 71.41906, "loss": 0.34122, "time": 0.51241} -{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.23492, "decode.acc_seg": 73.41347, "aux.loss_seg": 0.12805, "aux.acc_seg": 71.1305, "loss": 0.36297, "time": 0.51154} -{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.22843, "decode.acc_seg": 74.20518, "aux.loss_seg": 0.11849, "aux.acc_seg": 72.50422, "loss": 0.34692, "time": 0.52079} -{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.22953, "decode.acc_seg": 73.52692, "aux.loss_seg": 0.12359, "aux.acc_seg": 71.45166, "loss": 0.35312, "time": 0.54375} -{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.22815, "decode.acc_seg": 72.8774, "aux.loss_seg": 0.12187, "aux.acc_seg": 70.89804, "loss": 0.35002, "time": 0.50946} -{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 22404, "data_time": 0.2444, "decode.loss_seg": 0.21468, "decode.acc_seg": 72.52053, "aux.loss_seg": 0.11561, "aux.acc_seg": 70.60524, "loss": 0.33029, "time": 0.73939} -{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.2235, "decode.acc_seg": 73.5961, "aux.loss_seg": 0.1205, "aux.acc_seg": 71.73743, "loss": 0.344, "time": 0.517} -{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.22529, "decode.acc_seg": 74.44759, "aux.loss_seg": 0.11949, "aux.acc_seg": 72.55845, "loss": 0.34478, "time": 0.51108} -{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.22808, "decode.acc_seg": 74.69185, "aux.loss_seg": 0.12175, "aux.acc_seg": 72.72844, "loss": 0.34983, "time": 0.5347} -{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.23146, "decode.acc_seg": 73.20171, "aux.loss_seg": 0.12308, "aux.acc_seg": 71.33049, "loss": 0.35454, "time": 0.52865} -{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.22905, "decode.acc_seg": 73.33208, "aux.loss_seg": 0.12246, "aux.acc_seg": 71.42017, "loss": 0.35152, "time": 0.54251} -{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.22431, "decode.acc_seg": 72.63781, "aux.loss_seg": 0.12039, "aux.acc_seg": 70.82927, "loss": 0.34469, "time": 0.5276} -{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.22202, "decode.acc_seg": 72.82087, "aux.loss_seg": 0.12036, "aux.acc_seg": 70.82431, "loss": 0.34237, "time": 0.51765} -{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.21009, "decode.acc_seg": 73.96535, "aux.loss_seg": 0.11345, "aux.acc_seg": 72.0254, "loss": 0.32355, "time": 0.51838} -{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.2191, "decode.acc_seg": 74.00008, "aux.loss_seg": 0.11671, "aux.acc_seg": 72.15942, "loss": 0.33582, "time": 0.51774} -{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.23294, "decode.acc_seg": 73.99597, "aux.loss_seg": 0.12551, "aux.acc_seg": 71.83122, "loss": 0.35845, "time": 0.51144} -{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2171, "decode.acc_seg": 72.73393, "aux.loss_seg": 0.11689, "aux.acc_seg": 70.83285, "loss": 0.33399, "time": 0.51571} -{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.21761, "decode.acc_seg": 74.00681, "aux.loss_seg": 0.11666, "aux.acc_seg": 72.01614, "loss": 0.33427, "time": 0.51315} -{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.22571, "decode.acc_seg": 71.935, "aux.loss_seg": 0.1205, "aux.acc_seg": 69.84831, "loss": 0.34621, "time": 0.52399} -{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.23941, "decode.acc_seg": 73.83488, "aux.loss_seg": 0.12774, "aux.acc_seg": 71.88976, "loss": 0.36715, "time": 0.52565} -{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.22654, "decode.acc_seg": 73.77377, "aux.loss_seg": 0.11951, "aux.acc_seg": 72.00996, "loss": 0.34604, "time": 0.51333} -{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.24516, "decode.acc_seg": 72.29951, "aux.loss_seg": 0.12749, "aux.acc_seg": 70.50566, "loss": 0.37266, "time": 0.51576} -{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.22944, "decode.acc_seg": 72.80225, "aux.loss_seg": 0.12278, "aux.acc_seg": 70.86441, "loss": 0.35222, "time": 0.52738} -{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.21663, "decode.acc_seg": 73.3799, "aux.loss_seg": 0.11856, "aux.acc_seg": 71.21751, "loss": 0.33518, "time": 0.51806} -{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.23011, "decode.acc_seg": 73.90582, "aux.loss_seg": 0.12435, "aux.acc_seg": 71.88392, "loss": 0.35447, "time": 0.52963} -{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.22697, "decode.acc_seg": 73.92587, "aux.loss_seg": 0.12114, "aux.acc_seg": 72.0118, "loss": 0.34811, "time": 0.53999} -{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.22983, "decode.acc_seg": 72.69495, "aux.loss_seg": 0.12385, "aux.acc_seg": 70.66231, "loss": 0.35368, "time": 0.53238} -{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 22404, "data_time": 0.00654, "decode.loss_seg": 0.21865, "decode.acc_seg": 75.16725, "aux.loss_seg": 0.11637, "aux.acc_seg": 73.375, "loss": 0.33503, "time": 0.51111} -{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 22404, "data_time": 0.00641, "decode.loss_seg": 0.2155, "decode.acc_seg": 73.24778, "aux.loss_seg": 0.11738, "aux.acc_seg": 71.27302, "loss": 0.33288, "time": 0.51376} -{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.22838, "decode.acc_seg": 73.66534, "aux.loss_seg": 0.12348, "aux.acc_seg": 71.55934, "loss": 0.35186, "time": 0.53058} -{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 22404, "data_time": 0.00659, "decode.loss_seg": 0.23442, "decode.acc_seg": 72.89765, "aux.loss_seg": 0.12406, "aux.acc_seg": 70.88828, "loss": 0.35849, "time": 0.5114} -{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 22404, "data_time": 0.24295, "decode.loss_seg": 0.21506, "decode.acc_seg": 74.13249, "aux.loss_seg": 0.1159, "aux.acc_seg": 72.14505, "loss": 0.33096, "time": 0.77064} -{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.21521, "decode.acc_seg": 73.71946, "aux.loss_seg": 0.11603, "aux.acc_seg": 71.68486, "loss": 0.33124, "time": 0.54413} -{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.23294, "decode.acc_seg": 73.41581, "aux.loss_seg": 0.12363, "aux.acc_seg": 71.33265, "loss": 0.35657, "time": 0.54248} -{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.22295, "decode.acc_seg": 73.95938, "aux.loss_seg": 0.11885, "aux.acc_seg": 72.19431, "loss": 0.3418, "time": 0.51828} -{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.22222, "decode.acc_seg": 73.40893, "aux.loss_seg": 0.11979, "aux.acc_seg": 71.32459, "loss": 0.34201, "time": 0.53237} -{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.22277, "decode.acc_seg": 73.86474, "aux.loss_seg": 0.11886, "aux.acc_seg": 71.91081, "loss": 0.34162, "time": 0.50824} -{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.23685, "decode.acc_seg": 73.15753, "aux.loss_seg": 0.12311, "aux.acc_seg": 71.35748, "loss": 0.35997, "time": 0.52072} -{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.23235, "decode.acc_seg": 71.84489, "aux.loss_seg": 0.12365, "aux.acc_seg": 69.91782, "loss": 0.356, "time": 0.51068} -{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.23005, "decode.acc_seg": 73.80303, "aux.loss_seg": 0.12249, "aux.acc_seg": 71.88358, "loss": 0.35254, "time": 0.51195} -{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.23763, "decode.acc_seg": 73.67759, "aux.loss_seg": 0.12549, "aux.acc_seg": 71.74821, "loss": 0.36312, "time": 0.53515} -{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.22585, "decode.acc_seg": 73.71316, "aux.loss_seg": 0.11574, "aux.acc_seg": 72.14847, "loss": 0.34159, "time": 0.5089} -{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.22189, "decode.acc_seg": 73.93257, "aux.loss_seg": 0.12088, "aux.acc_seg": 71.93733, "loss": 0.34277, "time": 0.51575} -{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.22992, "decode.acc_seg": 72.86598, "aux.loss_seg": 0.12242, "aux.acc_seg": 70.94649, "loss": 0.35234, "time": 0.51309} -{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.22652, "decode.acc_seg": 74.22699, "aux.loss_seg": 0.12198, "aux.acc_seg": 72.37672, "loss": 0.3485, "time": 0.50981} -{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.2241, "decode.acc_seg": 72.98285, "aux.loss_seg": 0.12023, "aux.acc_seg": 71.05147, "loss": 0.34433, "time": 0.50995} -{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.226, "decode.acc_seg": 72.93371, "aux.loss_seg": 0.12186, "aux.acc_seg": 70.93587, "loss": 0.34787, "time": 0.50909} -{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.2151, "decode.acc_seg": 72.01133, "aux.loss_seg": 0.11635, "aux.acc_seg": 70.08669, "loss": 0.33145, "time": 0.50731} -{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21594, "decode.acc_seg": 72.13983, "aux.loss_seg": 0.11781, "aux.acc_seg": 70.12714, "loss": 0.33375, "time": 0.53084} -{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.22551, "decode.acc_seg": 73.31235, "aux.loss_seg": 0.12167, "aux.acc_seg": 71.3535, "loss": 0.34718, "time": 0.51253} -{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.21835, "decode.acc_seg": 71.66355, "aux.loss_seg": 0.11979, "aux.acc_seg": 69.59135, "loss": 0.33814, "time": 0.51947} -{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 22404, "data_time": 0.00798, "decode.loss_seg": 0.23161, "decode.acc_seg": 73.9934, "aux.loss_seg": 0.12107, "aux.acc_seg": 72.3112, "loss": 0.35269, "time": 0.51318} -{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.2371, "decode.acc_seg": 73.76845, "aux.loss_seg": 0.12645, "aux.acc_seg": 71.92164, "loss": 0.36355, "time": 0.5222} -{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.23394, "decode.acc_seg": 72.77726, "aux.loss_seg": 0.12736, "aux.acc_seg": 70.64218, "loss": 0.36129, "time": 0.54079} -{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.21439, "decode.acc_seg": 74.21087, "aux.loss_seg": 0.11484, "aux.acc_seg": 72.28522, "loss": 0.32923, "time": 0.50771} -{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.2331, "decode.acc_seg": 73.08859, "aux.loss_seg": 0.12527, "aux.acc_seg": 70.93333, "loss": 0.35837, "time": 0.5081} -{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 22404, "data_time": 0.24881, "decode.loss_seg": 0.22561, "decode.acc_seg": 74.52233, "aux.loss_seg": 0.11986, "aux.acc_seg": 72.70115, "loss": 0.34547, "time": 0.74759} -{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.2134, "decode.acc_seg": 75.09374, "aux.loss_seg": 0.11439, "aux.acc_seg": 73.35257, "loss": 0.3278, "time": 0.51561} -{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.20889, "decode.acc_seg": 73.25838, "aux.loss_seg": 0.11378, "aux.acc_seg": 71.3605, "loss": 0.32268, "time": 0.51543} -{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.22163, "decode.acc_seg": 74.72008, "aux.loss_seg": 0.12055, "aux.acc_seg": 72.72302, "loss": 0.34218, "time": 0.51525} -{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.21225, "decode.acc_seg": 73.35781, "aux.loss_seg": 0.11717, "aux.acc_seg": 71.39318, "loss": 0.32942, "time": 0.53141} -{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.22204, "decode.acc_seg": 73.78331, "aux.loss_seg": 0.11633, "aux.acc_seg": 72.10704, "loss": 0.33837, "time": 0.53723} -{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.21572, "decode.acc_seg": 73.68864, "aux.loss_seg": 0.11599, "aux.acc_seg": 71.83912, "loss": 0.33171, "time": 0.51518} -{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.22633, "decode.acc_seg": 73.21348, "aux.loss_seg": 0.12355, "aux.acc_seg": 71.20039, "loss": 0.34988, "time": 0.54438} -{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.20944, "decode.acc_seg": 73.09388, "aux.loss_seg": 0.11277, "aux.acc_seg": 71.20696, "loss": 0.32221, "time": 0.52497} -{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.21421, "decode.acc_seg": 73.30703, "aux.loss_seg": 0.11616, "aux.acc_seg": 71.36625, "loss": 0.33037, "time": 0.51031} -{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.21419, "decode.acc_seg": 72.62955, "aux.loss_seg": 0.116, "aux.acc_seg": 70.53433, "loss": 0.33019, "time": 0.51184} -{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.22222, "decode.acc_seg": 74.4494, "aux.loss_seg": 0.12158, "aux.acc_seg": 72.3994, "loss": 0.3438, "time": 0.50948} -{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.22819, "decode.acc_seg": 74.33132, "aux.loss_seg": 0.12024, "aux.acc_seg": 72.3921, "loss": 0.34843, "time": 0.52193} -{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.21586, "decode.acc_seg": 73.45116, "aux.loss_seg": 0.11718, "aux.acc_seg": 71.57039, "loss": 0.33303, "time": 0.54363} -{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.22571, "decode.acc_seg": 73.23774, "aux.loss_seg": 0.12022, "aux.acc_seg": 71.19522, "loss": 0.34593, "time": 0.53424} -{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.24219, "decode.acc_seg": 74.10889, "aux.loss_seg": 0.13069, "aux.acc_seg": 71.95517, "loss": 0.37288, "time": 0.53098} -{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.22662, "decode.acc_seg": 72.20264, "aux.loss_seg": 0.11952, "aux.acc_seg": 70.38929, "loss": 0.34614, "time": 0.50913} -{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.20389, "decode.acc_seg": 73.8291, "aux.loss_seg": 0.1097, "aux.acc_seg": 72.04231, "loss": 0.31359, "time": 0.51451} -{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.23261, "decode.acc_seg": 72.93805, "aux.loss_seg": 0.12465, "aux.acc_seg": 70.99706, "loss": 0.35726, "time": 0.51054} -{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23002, "decode.acc_seg": 74.88492, "aux.loss_seg": 0.12382, "aux.acc_seg": 72.90219, "loss": 0.35384, "time": 0.5417} -{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.23194, "decode.acc_seg": 73.24659, "aux.loss_seg": 0.12353, "aux.acc_seg": 71.27819, "loss": 0.35547, "time": 0.52278} -{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.2181, "decode.acc_seg": 73.45223, "aux.loss_seg": 0.1154, "aux.acc_seg": 71.58398, "loss": 0.33349, "time": 0.53339} -{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.34214, "aux.loss_seg": 0.12874, "aux.acc_seg": 70.49433, "loss": 0.37349, "time": 0.51029} -{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.22027, "decode.acc_seg": 72.81337, "aux.loss_seg": 0.11924, "aux.acc_seg": 70.87299, "loss": 0.33951, "time": 0.52492} -{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.23739, "decode.acc_seg": 73.72532, "aux.loss_seg": 0.12616, "aux.acc_seg": 71.79818, "loss": 0.36355, "time": 0.5197} -{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 22404, "data_time": 0.25121, "decode.loss_seg": 0.2312, "decode.acc_seg": 72.37104, "aux.loss_seg": 0.12444, "aux.acc_seg": 70.30976, "loss": 0.35564, "time": 0.77778} -{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.20975, "decode.acc_seg": 74.37078, "aux.loss_seg": 0.1118, "aux.acc_seg": 72.56029, "loss": 0.32156, "time": 0.52086} -{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21027, "decode.acc_seg": 73.1487, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.36483, "loss": 0.32413, "time": 0.52679} -{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.21942, "decode.acc_seg": 73.00109, "aux.loss_seg": 0.1212, "aux.acc_seg": 70.84289, "loss": 0.34061, "time": 0.51354} -{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.22223, "decode.acc_seg": 74.73735, "aux.loss_seg": 0.1192, "aux.acc_seg": 72.88726, "loss": 0.34143, "time": 0.514} -{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.20882, "decode.acc_seg": 74.86822, "aux.loss_seg": 0.11432, "aux.acc_seg": 72.80118, "loss": 0.32314, "time": 0.54217} -{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.21733, "decode.acc_seg": 73.94244, "aux.loss_seg": 0.11607, "aux.acc_seg": 72.19071, "loss": 0.33341, "time": 0.51826} -{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.21663, "decode.acc_seg": 73.01891, "aux.loss_seg": 0.1165, "aux.acc_seg": 71.07328, "loss": 0.33313, "time": 0.51519} -{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.23392, "decode.acc_seg": 73.30183, "aux.loss_seg": 0.12173, "aux.acc_seg": 71.5119, "loss": 0.35565, "time": 0.54588} -{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.22094, "decode.acc_seg": 72.77221, "aux.loss_seg": 0.12091, "aux.acc_seg": 70.62006, "loss": 0.34185, "time": 0.54138} -{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.21562, "decode.acc_seg": 73.49952, "aux.loss_seg": 0.11789, "aux.acc_seg": 71.46515, "loss": 0.33351, "time": 0.50994} -{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.22083, "decode.acc_seg": 73.58777, "aux.loss_seg": 0.11937, "aux.acc_seg": 71.56905, "loss": 0.3402, "time": 0.51255} -{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21517, "decode.acc_seg": 73.68892, "aux.loss_seg": 0.11718, "aux.acc_seg": 71.70308, "loss": 0.33235, "time": 0.51475} -{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.21949, "decode.acc_seg": 74.28313, "aux.loss_seg": 0.11954, "aux.acc_seg": 72.30866, "loss": 0.33902, "time": 0.50777} -{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.21891, "decode.acc_seg": 73.7628, "aux.loss_seg": 0.11893, "aux.acc_seg": 71.7723, "loss": 0.33784, "time": 0.51181} -{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.20949, "decode.acc_seg": 73.07748, "aux.loss_seg": 0.11326, "aux.acc_seg": 71.23462, "loss": 0.32275, "time": 0.51007} -{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.23354, "decode.acc_seg": 74.24778, "aux.loss_seg": 0.12813, "aux.acc_seg": 71.93024, "loss": 0.36167, "time": 0.50743} -{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.21668, "decode.acc_seg": 74.76372, "aux.loss_seg": 0.11614, "aux.acc_seg": 72.87862, "loss": 0.33282, "time": 0.51439} -{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.21731, "decode.acc_seg": 73.29361, "aux.loss_seg": 0.11857, "aux.acc_seg": 71.1409, "loss": 0.33588, "time": 0.52653} -{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.21912, "decode.acc_seg": 74.02184, "aux.loss_seg": 0.12057, "aux.acc_seg": 71.94136, "loss": 0.33968, "time": 0.51849} -{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.22792, "decode.acc_seg": 72.78261, "aux.loss_seg": 0.11971, "aux.acc_seg": 70.96747, "loss": 0.34763, "time": 0.5118} -{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.22294, "decode.acc_seg": 73.23283, "aux.loss_seg": 0.11827, "aux.acc_seg": 71.38345, "loss": 0.34121, "time": 0.51299} -{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.22464, "decode.acc_seg": 74.00481, "aux.loss_seg": 0.12116, "aux.acc_seg": 72.05857, "loss": 0.34579, "time": 0.51194} -{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.22505, "decode.acc_seg": 73.62899, "aux.loss_seg": 0.11973, "aux.acc_seg": 71.73964, "loss": 0.34478, "time": 0.51324} -{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.20937, "decode.acc_seg": 72.45467, "aux.loss_seg": 0.1143, "aux.acc_seg": 70.39661, "loss": 0.32367, "time": 0.52603} -{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 22404, "data_time": 0.24858, "decode.loss_seg": 0.23145, "decode.acc_seg": 73.69022, "aux.loss_seg": 0.12438, "aux.acc_seg": 71.5952, "loss": 0.35583, "time": 0.75345} -{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.21651, "decode.acc_seg": 72.54535, "aux.loss_seg": 0.11604, "aux.acc_seg": 70.73473, "loss": 0.33255, "time": 0.51687} -{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.21352, "decode.acc_seg": 73.62777, "aux.loss_seg": 0.11288, "aux.acc_seg": 71.91251, "loss": 0.3264, "time": 0.5312} -{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.22094, "decode.acc_seg": 74.55162, "aux.loss_seg": 0.1192, "aux.acc_seg": 72.55655, "loss": 0.34013, "time": 0.51209} -{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.21683, "decode.acc_seg": 73.13935, "aux.loss_seg": 0.11726, "aux.acc_seg": 71.13198, "loss": 0.33409, "time": 0.51417} -{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21437, "decode.acc_seg": 72.59356, "aux.loss_seg": 0.11664, "aux.acc_seg": 70.59755, "loss": 0.33101, "time": 0.51209} -{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.22403, "decode.acc_seg": 73.61698, "aux.loss_seg": 0.11905, "aux.acc_seg": 71.69051, "loss": 0.34308, "time": 0.51258} -{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.20651, "decode.acc_seg": 73.97039, "aux.loss_seg": 0.11305, "aux.acc_seg": 71.99826, "loss": 0.31955, "time": 0.51515} -{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.22189, "decode.acc_seg": 73.89611, "aux.loss_seg": 0.12135, "aux.acc_seg": 71.88936, "loss": 0.34324, "time": 0.51743} -{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20726, "decode.acc_seg": 73.62341, "aux.loss_seg": 0.11358, "aux.acc_seg": 71.7222, "loss": 0.32084, "time": 0.52057} -{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.22486, "decode.acc_seg": 73.17337, "aux.loss_seg": 0.12008, "aux.acc_seg": 71.24984, "loss": 0.34495, "time": 0.52451} -{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.20363, "decode.acc_seg": 72.96378, "aux.loss_seg": 0.10985, "aux.acc_seg": 71.31402, "loss": 0.31347, "time": 0.51688} -{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.2167, "decode.acc_seg": 73.8919, "aux.loss_seg": 0.12027, "aux.acc_seg": 71.6155, "loss": 0.33697, "time": 0.51176} -{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.21701, "decode.acc_seg": 74.29821, "aux.loss_seg": 0.11533, "aux.acc_seg": 72.58443, "loss": 0.33235, "time": 0.50992} -{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.21067, "decode.acc_seg": 73.94993, "aux.loss_seg": 0.11412, "aux.acc_seg": 72.09499, "loss": 0.3248, "time": 0.51137} -{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.21726, "decode.acc_seg": 73.90655, "aux.loss_seg": 0.11562, "aux.acc_seg": 72.0878, "loss": 0.33288, "time": 0.52303} -{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.20619, "decode.acc_seg": 73.29843, "aux.loss_seg": 0.11331, "aux.acc_seg": 71.31494, "loss": 0.3195, "time": 0.51668} -{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.21831, "decode.acc_seg": 73.37471, "aux.loss_seg": 0.11842, "aux.acc_seg": 71.37643, "loss": 0.33673, "time": 0.5102} -{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.20734, "decode.acc_seg": 75.76869, "aux.loss_seg": 0.1118, "aux.acc_seg": 74.00804, "loss": 0.31914, "time": 0.51612} -{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.21507, "decode.acc_seg": 73.10176, "aux.loss_seg": 0.11587, "aux.acc_seg": 71.09927, "loss": 0.33095, "time": 0.54276} -{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.23228, "decode.acc_seg": 73.27223, "aux.loss_seg": 0.12381, "aux.acc_seg": 71.30226, "loss": 0.35609, "time": 0.5322} -{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21208, "decode.acc_seg": 72.99629, "aux.loss_seg": 0.1145, "aux.acc_seg": 71.15392, "loss": 0.32658, "time": 0.5144} -{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.22072, "decode.acc_seg": 74.01593, "aux.loss_seg": 0.1201, "aux.acc_seg": 71.98117, "loss": 0.34082, "time": 0.51583} -{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.23803, "decode.acc_seg": 72.86466, "aux.loss_seg": 0.12392, "aux.acc_seg": 71.01797, "loss": 0.36196, "time": 0.51438} -{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.22697, "decode.acc_seg": 71.63499, "aux.loss_seg": 0.12201, "aux.acc_seg": 69.71316, "loss": 0.34898, "time": 0.51986} -{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.22702, "decode.acc_seg": 73.82285, "aux.loss_seg": 0.12175, "aux.acc_seg": 71.69398, "loss": 0.34877, "time": 0.51413} -{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 22404, "data_time": 0.24664, "decode.loss_seg": 0.21773, "decode.acc_seg": 73.44833, "aux.loss_seg": 0.11775, "aux.acc_seg": 71.42687, "loss": 0.33548, "time": 0.747} -{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.22775, "decode.acc_seg": 74.6114, "aux.loss_seg": 0.12046, "aux.acc_seg": 72.72368, "loss": 0.34821, "time": 0.51429} -{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.21055, "decode.acc_seg": 74.46658, "aux.loss_seg": 0.11269, "aux.acc_seg": 72.62768, "loss": 0.32324, "time": 0.51205} -{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.21773, "decode.acc_seg": 73.07049, "aux.loss_seg": 0.1197, "aux.acc_seg": 71.07146, "loss": 0.33744, "time": 0.53341} -{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.20024, "decode.acc_seg": 73.7562, "aux.loss_seg": 0.10724, "aux.acc_seg": 72.00279, "loss": 0.30748, "time": 0.51586} -{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.19931, "decode.acc_seg": 72.35773, "aux.loss_seg": 0.10773, "aux.acc_seg": 70.46081, "loss": 0.30704, "time": 0.51089} -{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.22576, "decode.acc_seg": 73.04903, "aux.loss_seg": 0.12063, "aux.acc_seg": 71.14153, "loss": 0.34639, "time": 0.51325} -{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.21334, "decode.acc_seg": 75.16453, "aux.loss_seg": 0.1144, "aux.acc_seg": 73.20456, "loss": 0.32773, "time": 0.51981} -{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21397, "decode.acc_seg": 75.14586, "aux.loss_seg": 0.11692, "aux.acc_seg": 73.18421, "loss": 0.33089, "time": 0.51165} -{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.21491, "decode.acc_seg": 73.91676, "aux.loss_seg": 0.11533, "aux.acc_seg": 72.03328, "loss": 0.33024, "time": 0.51302} -{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.21863, "decode.acc_seg": 73.36057, "aux.loss_seg": 0.1189, "aux.acc_seg": 71.32771, "loss": 0.33753, "time": 0.51244} -{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.232, "decode.acc_seg": 73.58805, "aux.loss_seg": 0.12466, "aux.acc_seg": 71.55612, "loss": 0.35666, "time": 0.52062} -{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.22087, "decode.acc_seg": 73.04757, "aux.loss_seg": 0.11788, "aux.acc_seg": 71.19398, "loss": 0.33875, "time": 0.52103} -{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.22617, "decode.acc_seg": 74.58014, "aux.loss_seg": 0.12287, "aux.acc_seg": 72.6189, "loss": 0.34904, "time": 0.53803} -{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.21231, "decode.acc_seg": 73.25951, "aux.loss_seg": 0.11408, "aux.acc_seg": 71.27361, "loss": 0.32639, "time": 0.51287} -{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.21424, "decode.acc_seg": 73.39731, "aux.loss_seg": 0.11527, "aux.acc_seg": 71.5208, "loss": 0.32951, "time": 0.5078} -{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.22537, "decode.acc_seg": 73.21905, "aux.loss_seg": 0.1193, "aux.acc_seg": 71.49517, "loss": 0.34467, "time": 0.53291} -{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.2181, "decode.acc_seg": 73.48675, "aux.loss_seg": 0.11689, "aux.acc_seg": 71.6103, "loss": 0.33499, "time": 0.53806} -{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.21402, "decode.acc_seg": 71.72207, "aux.loss_seg": 0.11524, "aux.acc_seg": 69.81672, "loss": 0.32926, "time": 0.53315} -{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.22371, "decode.acc_seg": 72.67414, "aux.loss_seg": 0.12111, "aux.acc_seg": 70.67505, "loss": 0.34482, "time": 0.53105} -{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.21498, "decode.acc_seg": 73.38116, "aux.loss_seg": 0.11573, "aux.acc_seg": 71.4053, "loss": 0.33071, "time": 0.51218} -{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21195, "decode.acc_seg": 73.73649, "aux.loss_seg": 0.1163, "aux.acc_seg": 71.64036, "loss": 0.32825, "time": 0.51362} -{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21808, "decode.acc_seg": 74.46078, "aux.loss_seg": 0.11828, "aux.acc_seg": 72.39108, "loss": 0.33636, "time": 0.51321} -{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.21258, "decode.acc_seg": 74.39506, "aux.loss_seg": 0.11824, "aux.acc_seg": 72.3292, "loss": 0.33082, "time": 0.51043} -{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21817, "decode.acc_seg": 72.91513, "aux.loss_seg": 0.11641, "aux.acc_seg": 71.0929, "loss": 0.33458, "time": 0.51174} -{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 22404, "data_time": 0.24828, "decode.loss_seg": 0.22194, "decode.acc_seg": 74.08011, "aux.loss_seg": 0.12084, "aux.acc_seg": 72.09155, "loss": 0.34278, "time": 0.749} -{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.2132, "decode.acc_seg": 73.60325, "aux.loss_seg": 0.11513, "aux.acc_seg": 71.7308, "loss": 0.32833, "time": 0.50864} -{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.21462, "decode.acc_seg": 72.92695, "aux.loss_seg": 0.11614, "aux.acc_seg": 70.96776, "loss": 0.33076, "time": 0.53469} -{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.22088, "decode.acc_seg": 73.44657, "aux.loss_seg": 0.11978, "aux.acc_seg": 71.4772, "loss": 0.34066, "time": 0.52128} -{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.19781, "decode.acc_seg": 73.95431, "aux.loss_seg": 0.10911, "aux.acc_seg": 72.09022, "loss": 0.30692, "time": 0.52076} -{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.19799, "decode.acc_seg": 74.25675, "aux.loss_seg": 0.10949, "aux.acc_seg": 72.36394, "loss": 0.30748, "time": 0.537} -{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.22708, "decode.acc_seg": 74.72749, "aux.loss_seg": 0.12328, "aux.acc_seg": 72.80092, "loss": 0.35036, "time": 0.5138} -{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 22404, "data_time": 0.00649, "decode.loss_seg": 0.2157, "decode.acc_seg": 72.28019, "aux.loss_seg": 0.11738, "aux.acc_seg": 70.30886, "loss": 0.33309, "time": 0.54486} -{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.22343, "decode.acc_seg": 73.81707, "aux.loss_seg": 0.12077, "aux.acc_seg": 71.86405, "loss": 0.34419, "time": 0.51304} -{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.21783, "decode.acc_seg": 73.26983, "aux.loss_seg": 0.11827, "aux.acc_seg": 71.30344, "loss": 0.3361, "time": 0.5259} -{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.21941, "decode.acc_seg": 73.74955, "aux.loss_seg": 0.11823, "aux.acc_seg": 71.86088, "loss": 0.33764, "time": 0.53062} -{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.22158, "decode.acc_seg": 74.27829, "aux.loss_seg": 0.11846, "aux.acc_seg": 72.41755, "loss": 0.34004, "time": 0.52975} -{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.22133, "decode.acc_seg": 71.18056, "aux.loss_seg": 0.12181, "aux.acc_seg": 68.89264, "loss": 0.34313, "time": 0.51806} -{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.21607, "decode.acc_seg": 74.02281, "aux.loss_seg": 0.11555, "aux.acc_seg": 72.24666, "loss": 0.33162, "time": 0.52149} -{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.21429, "decode.acc_seg": 74.67026, "aux.loss_seg": 0.11589, "aux.acc_seg": 72.72163, "loss": 0.33019, "time": 0.52172} -{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.22161, "decode.acc_seg": 74.57688, "aux.loss_seg": 0.11755, "aux.acc_seg": 72.84419, "loss": 0.33916, "time": 0.51479} -{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 22404, "data_time": 0.00674, "decode.loss_seg": 0.21151, "decode.acc_seg": 73.76589, "aux.loss_seg": 0.11407, "aux.acc_seg": 71.86307, "loss": 0.32558, "time": 0.53704} -{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.21444, "decode.acc_seg": 72.86775, "aux.loss_seg": 0.11812, "aux.acc_seg": 70.87682, "loss": 0.33257, "time": 0.50862} -{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.2161, "decode.acc_seg": 73.97635, "aux.loss_seg": 0.11734, "aux.acc_seg": 71.98833, "loss": 0.33344, "time": 0.51013} -{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.21366, "decode.acc_seg": 72.67103, "aux.loss_seg": 0.11675, "aux.acc_seg": 70.72558, "loss": 0.33041, "time": 0.50903} -{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.2227, "decode.acc_seg": 74.08284, "aux.loss_seg": 0.11932, "aux.acc_seg": 72.03703, "loss": 0.34202, "time": 0.51836} -{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.22248, "decode.acc_seg": 74.86094, "aux.loss_seg": 0.12063, "aux.acc_seg": 72.72698, "loss": 0.34311, "time": 0.52502} -{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.20405, "decode.acc_seg": 73.54516, "aux.loss_seg": 0.1117, "aux.acc_seg": 71.56684, "loss": 0.31575, "time": 0.53259} -{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.21919, "decode.acc_seg": 73.13108, "aux.loss_seg": 0.12168, "aux.acc_seg": 71.07272, "loss": 0.34087, "time": 0.51112} -{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.21558, "decode.acc_seg": 73.53485, "aux.loss_seg": 0.11686, "aux.acc_seg": 71.54488, "loss": 0.33244, "time": 0.51296} -{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 22404, "data_time": 0.24511, "decode.loss_seg": 0.21181, "decode.acc_seg": 73.2446, "aux.loss_seg": 0.11427, "aux.acc_seg": 71.33195, "loss": 0.32607, "time": 0.75638} -{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.21536, "decode.acc_seg": 72.84388, "aux.loss_seg": 0.11513, "aux.acc_seg": 71.03214, "loss": 0.33049, "time": 0.54503} -{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 22404, "data_time": 0.00865, "decode.loss_seg": 0.20877, "decode.acc_seg": 74.44751, "aux.loss_seg": 0.11335, "aux.acc_seg": 72.57955, "loss": 0.32212, "time": 0.523} -{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.21617, "decode.acc_seg": 74.75309, "aux.loss_seg": 0.11737, "aux.acc_seg": 72.66821, "loss": 0.33354, "time": 0.52163} -{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.20964, "decode.acc_seg": 73.56068, "aux.loss_seg": 0.11374, "aux.acc_seg": 71.55801, "loss": 0.32337, "time": 0.51619} -{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.21637, "decode.acc_seg": 72.5286, "aux.loss_seg": 0.11828, "aux.acc_seg": 70.46292, "loss": 0.33465, "time": 0.53255} -{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 22404, "data_time": 0.00793, "decode.loss_seg": 0.20084, "decode.acc_seg": 72.90778, "aux.loss_seg": 0.10912, "aux.acc_seg": 71.17468, "loss": 0.30996, "time": 0.53077} -{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 22404, "data_time": 0.00826, "decode.loss_seg": 0.20704, "decode.acc_seg": 75.02907, "aux.loss_seg": 0.11388, "aux.acc_seg": 73.03701, "loss": 0.32093, "time": 0.54328} -{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.2162, "decode.acc_seg": 73.07913, "aux.loss_seg": 0.11613, "aux.acc_seg": 71.40951, "loss": 0.33233, "time": 0.5186} -{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.21692, "decode.acc_seg": 73.90374, "aux.loss_seg": 0.11741, "aux.acc_seg": 71.95749, "loss": 0.33433, "time": 0.52117} -{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.22242, "decode.acc_seg": 74.21635, "aux.loss_seg": 0.12163, "aux.acc_seg": 72.00943, "loss": 0.34405, "time": 0.51983} -{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.20321, "decode.acc_seg": 74.21302, "aux.loss_seg": 0.11324, "aux.acc_seg": 72.17651, "loss": 0.31645, "time": 0.54433} -{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.20553, "decode.acc_seg": 73.49652, "aux.loss_seg": 0.11319, "aux.acc_seg": 71.37548, "loss": 0.31872, "time": 0.53997} -{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21631, "decode.acc_seg": 73.43297, "aux.loss_seg": 0.11629, "aux.acc_seg": 71.51333, "loss": 0.33259, "time": 0.51282} -{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.20503, "decode.acc_seg": 74.15942, "aux.loss_seg": 0.11094, "aux.acc_seg": 72.30577, "loss": 0.31597, "time": 0.50901} -{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21418, "decode.acc_seg": 73.81463, "aux.loss_seg": 0.11534, "aux.acc_seg": 71.76594, "loss": 0.32951, "time": 0.5091} -{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.21367, "decode.acc_seg": 72.20547, "aux.loss_seg": 0.11485, "aux.acc_seg": 70.39766, "loss": 0.32852, "time": 0.53488} -{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.20941, "decode.acc_seg": 73.46221, "aux.loss_seg": 0.11408, "aux.acc_seg": 71.46454, "loss": 0.32349, "time": 0.54222} -{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.22201, "decode.acc_seg": 73.16789, "aux.loss_seg": 0.12123, "aux.acc_seg": 71.18194, "loss": 0.34323, "time": 0.51577} -{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.21757, "decode.acc_seg": 73.48699, "aux.loss_seg": 0.11742, "aux.acc_seg": 71.53628, "loss": 0.33499, "time": 0.51385} -{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.2196, "decode.acc_seg": 73.22, "aux.loss_seg": 0.11948, "aux.acc_seg": 71.32364, "loss": 0.33908, "time": 0.51403} -{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.21133, "decode.acc_seg": 72.69305, "aux.loss_seg": 0.11152, "aux.acc_seg": 71.01775, "loss": 0.32284, "time": 0.51842} -{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.21864, "decode.acc_seg": 73.7354, "aux.loss_seg": 0.1186, "aux.acc_seg": 71.81291, "loss": 0.33724, "time": 0.53023} -{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.22021, "decode.acc_seg": 74.40672, "aux.loss_seg": 0.11785, "aux.acc_seg": 72.5296, "loss": 0.33806, "time": 0.52577} -{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.20739, "decode.acc_seg": 73.68371, "aux.loss_seg": 0.11403, "aux.acc_seg": 71.7356, "loss": 0.32142, "time": 0.53853} -{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 22404, "data_time": 0.24678, "decode.loss_seg": 0.20804, "decode.acc_seg": 73.9429, "aux.loss_seg": 0.1111, "aux.acc_seg": 72.13333, "loss": 0.31914, "time": 0.76339} -{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.63664, "aux.loss_seg": 0.11496, "aux.acc_seg": 71.48195, "loss": 0.32163, "time": 0.51977} -{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.20325, "decode.acc_seg": 72.96296, "aux.loss_seg": 0.11032, "aux.acc_seg": 71.14914, "loss": 0.31357, "time": 0.51304} -{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.21797, "decode.acc_seg": 74.68096, "aux.loss_seg": 0.11643, "aux.acc_seg": 72.6858, "loss": 0.33441, "time": 0.52812} -{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 22404, "data_time": 0.00835, "decode.loss_seg": 0.20348, "decode.acc_seg": 74.12605, "aux.loss_seg": 0.10936, "aux.acc_seg": 72.23346, "loss": 0.31283, "time": 0.53577} -{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.20285, "decode.acc_seg": 73.31195, "aux.loss_seg": 0.1077, "aux.acc_seg": 71.66215, "loss": 0.31055, "time": 0.53119} -{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.21579, "decode.acc_seg": 72.9594, "aux.loss_seg": 0.11664, "aux.acc_seg": 71.07919, "loss": 0.33243, "time": 0.5132} -{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.20612, "decode.acc_seg": 74.2487, "aux.loss_seg": 0.11355, "aux.acc_seg": 72.24239, "loss": 0.31967, "time": 0.53675} -{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.21236, "decode.acc_seg": 75.03272, "aux.loss_seg": 0.1139, "aux.acc_seg": 73.07097, "loss": 0.32626, "time": 0.51654} -{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19987, "decode.acc_seg": 72.89949, "aux.loss_seg": 0.10873, "aux.acc_seg": 70.99234, "loss": 0.30859, "time": 0.53742} -{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.20978, "decode.acc_seg": 73.70553, "aux.loss_seg": 0.11434, "aux.acc_seg": 71.77523, "loss": 0.32412, "time": 0.52682} -{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.21167, "decode.acc_seg": 74.09033, "aux.loss_seg": 0.1134, "aux.acc_seg": 72.15006, "loss": 0.32508, "time": 0.51542} -{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20282, "decode.acc_seg": 73.23131, "aux.loss_seg": 0.1125, "aux.acc_seg": 71.27361, "loss": 0.31532, "time": 0.50878} -{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.20809, "decode.acc_seg": 73.37911, "aux.loss_seg": 0.11486, "aux.acc_seg": 71.21656, "loss": 0.32295, "time": 0.50806} -{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.2032, "decode.acc_seg": 73.68891, "aux.loss_seg": 0.11064, "aux.acc_seg": 71.88541, "loss": 0.31384, "time": 0.52967} -{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.20496, "decode.acc_seg": 72.9445, "aux.loss_seg": 0.11296, "aux.acc_seg": 70.94071, "loss": 0.31792, "time": 0.52206} -{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.2187, "decode.acc_seg": 73.58378, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.90884, "loss": 0.33265, "time": 0.54167} -{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21157, "decode.acc_seg": 73.18594, "aux.loss_seg": 0.11283, "aux.acc_seg": 71.29442, "loss": 0.3244, "time": 0.53515} -{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.20834, "decode.acc_seg": 73.4859, "aux.loss_seg": 0.11543, "aux.acc_seg": 71.38294, "loss": 0.32377, "time": 0.52742} -{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.20327, "decode.acc_seg": 74.08394, "aux.loss_seg": 0.11195, "aux.acc_seg": 72.10836, "loss": 0.31521, "time": 0.51481} -{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 22404, "data_time": 0.00832, "decode.loss_seg": 0.21737, "decode.acc_seg": 75.15351, "aux.loss_seg": 0.11834, "aux.acc_seg": 73.09198, "loss": 0.33571, "time": 0.54114} -{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.22145, "decode.acc_seg": 71.80212, "aux.loss_seg": 0.12205, "aux.acc_seg": 69.61066, "loss": 0.3435, "time": 0.51957} -{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.22162, "decode.acc_seg": 73.46732, "aux.loss_seg": 0.11588, "aux.acc_seg": 71.69779, "loss": 0.33751, "time": 0.53711} -{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 22404, "data_time": 0.00864, "decode.loss_seg": 0.20128, "decode.acc_seg": 72.93493, "aux.loss_seg": 0.11107, "aux.acc_seg": 70.94775, "loss": 0.31235, "time": 0.52459} -{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21451, "decode.acc_seg": 72.70261, "aux.loss_seg": 0.11477, "aux.acc_seg": 70.89087, "loss": 0.32928, "time": 0.53138} -{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.20795, "decode.acc_seg": 74.8064, "aux.loss_seg": 0.11362, "aux.acc_seg": 72.83881, "loss": 0.32157, "time": 0.54719} -{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 22404, "data_time": 0.24917, "decode.loss_seg": 0.21599, "decode.acc_seg": 73.85629, "aux.loss_seg": 0.11446, "aux.acc_seg": 72.27907, "loss": 0.33045, "time": 0.76757} -{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 22404, "data_time": 0.00859, "decode.loss_seg": 0.21099, "decode.acc_seg": 72.63908, "aux.loss_seg": 0.11505, "aux.acc_seg": 70.61304, "loss": 0.32604, "time": 0.51242} -{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.22188, "decode.acc_seg": 74.30362, "aux.loss_seg": 0.11736, "aux.acc_seg": 72.47722, "loss": 0.33923, "time": 0.53027} -{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.2085, "decode.acc_seg": 74.38514, "aux.loss_seg": 0.11252, "aux.acc_seg": 72.55452, "loss": 0.32103, "time": 0.51042} -{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.20507, "decode.acc_seg": 73.85729, "aux.loss_seg": 0.11022, "aux.acc_seg": 72.04238, "loss": 0.31529, "time": 0.52958} -{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.19921, "decode.acc_seg": 73.45665, "aux.loss_seg": 0.1109, "aux.acc_seg": 71.33954, "loss": 0.31011, "time": 0.5223} -{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.19458, "decode.acc_seg": 74.00201, "aux.loss_seg": 0.10603, "aux.acc_seg": 72.11279, "loss": 0.30062, "time": 0.53971} -{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.21115, "decode.acc_seg": 73.81492, "aux.loss_seg": 0.11378, "aux.acc_seg": 71.96492, "loss": 0.32493, "time": 0.53101} -{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.21093, "decode.acc_seg": 74.48629, "aux.loss_seg": 0.11809, "aux.acc_seg": 72.30937, "loss": 0.32902, "time": 0.51452} -{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.21491, "decode.acc_seg": 73.44179, "aux.loss_seg": 0.11589, "aux.acc_seg": 71.44477, "loss": 0.3308, "time": 0.53553} -{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.21509, "decode.acc_seg": 72.51941, "aux.loss_seg": 0.11568, "aux.acc_seg": 70.63075, "loss": 0.33078, "time": 0.54543} -{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.2067, "decode.acc_seg": 73.26123, "aux.loss_seg": 0.1131, "aux.acc_seg": 71.39553, "loss": 0.3198, "time": 0.51823} -{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.20688, "decode.acc_seg": 73.87841, "aux.loss_seg": 0.10995, "aux.acc_seg": 72.04314, "loss": 0.31684, "time": 0.52126} -{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.21501, "decode.acc_seg": 73.7434, "aux.loss_seg": 0.1163, "aux.acc_seg": 71.7358, "loss": 0.33131, "time": 0.51402} -{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.20814, "decode.acc_seg": 74.09545, "aux.loss_seg": 0.1139, "aux.acc_seg": 72.10682, "loss": 0.32204, "time": 0.53144} -{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.20929, "decode.acc_seg": 73.2391, "aux.loss_seg": 0.11324, "aux.acc_seg": 71.28504, "loss": 0.32253, "time": 0.51262} -{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.20556, "decode.acc_seg": 74.43914, "aux.loss_seg": 0.11267, "aux.acc_seg": 72.56167, "loss": 0.31822, "time": 0.52254} -{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 22404, "data_time": 0.00842, "decode.loss_seg": 0.2075, "decode.acc_seg": 74.49231, "aux.loss_seg": 0.11373, "aux.acc_seg": 72.61929, "loss": 0.32123, "time": 0.52717} -{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.2162, "decode.acc_seg": 73.9344, "aux.loss_seg": 0.11571, "aux.acc_seg": 72.10932, "loss": 0.3319, "time": 0.5427} -{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.20384, "decode.acc_seg": 74.10047, "aux.loss_seg": 0.11044, "aux.acc_seg": 72.23956, "loss": 0.31428, "time": 0.53589} -{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20959, "decode.acc_seg": 72.25119, "aux.loss_seg": 0.11404, "aux.acc_seg": 70.18536, "loss": 0.32363, "time": 0.51224} -{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 22404, "data_time": 0.00883, "decode.loss_seg": 0.20801, "decode.acc_seg": 73.9871, "aux.loss_seg": 0.11327, "aux.acc_seg": 72.10044, "loss": 0.32128, "time": 0.51655} -{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.20413, "decode.acc_seg": 73.20649, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.42155, "loss": 0.31541, "time": 0.5122} -{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.21756, "decode.acc_seg": 74.65097, "aux.loss_seg": 0.11926, "aux.acc_seg": 72.50692, "loss": 0.33682, "time": 0.51299} -{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.20004, "decode.acc_seg": 74.44213, "aux.loss_seg": 0.10885, "aux.acc_seg": 72.66065, "loss": 0.30889, "time": 0.51576} -{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 22404, "data_time": 0.24742, "decode.loss_seg": 0.20713, "decode.acc_seg": 73.65362, "aux.loss_seg": 0.11275, "aux.acc_seg": 71.79741, "loss": 0.31988, "time": 0.74986} -{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.19726, "decode.acc_seg": 71.82176, "aux.loss_seg": 0.10826, "aux.acc_seg": 69.91336, "loss": 0.30552, "time": 0.51036} -{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.20376, "decode.acc_seg": 74.78865, "aux.loss_seg": 0.10918, "aux.acc_seg": 73.1439, "loss": 0.31294, "time": 0.51655} -{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.20734, "decode.acc_seg": 73.84269, "aux.loss_seg": 0.113, "aux.acc_seg": 71.89232, "loss": 0.32033, "time": 0.52913} -{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.20352, "decode.acc_seg": 73.50596, "aux.loss_seg": 0.11283, "aux.acc_seg": 71.58159, "loss": 0.31635, "time": 0.5125} -{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.20837, "decode.acc_seg": 74.25856, "aux.loss_seg": 0.11531, "aux.acc_seg": 72.19259, "loss": 0.32369, "time": 0.5145} -{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.2039, "decode.acc_seg": 74.77982, "aux.loss_seg": 0.10892, "aux.acc_seg": 73.08028, "loss": 0.31282, "time": 0.52668} -{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.2136, "decode.acc_seg": 73.31543, "aux.loss_seg": 0.11566, "aux.acc_seg": 71.35513, "loss": 0.32926, "time": 0.51581} -{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19999, "decode.acc_seg": 74.25538, "aux.loss_seg": 0.1099, "aux.acc_seg": 72.37779, "loss": 0.30989, "time": 0.51326} -{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.20619, "decode.acc_seg": 74.85337, "aux.loss_seg": 0.11203, "aux.acc_seg": 72.92121, "loss": 0.31822, "time": 0.51621} -{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.20589, "decode.acc_seg": 73.59297, "aux.loss_seg": 0.11268, "aux.acc_seg": 71.55857, "loss": 0.31857, "time": 0.5133} -{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.19667, "decode.acc_seg": 73.62938, "aux.loss_seg": 0.10732, "aux.acc_seg": 71.83316, "loss": 0.30399, "time": 0.51863} -{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.20217, "decode.acc_seg": 73.12084, "aux.loss_seg": 0.112, "aux.acc_seg": 71.05859, "loss": 0.31416, "time": 0.51859} -{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.20292, "decode.acc_seg": 74.26612, "aux.loss_seg": 0.10964, "aux.acc_seg": 72.49426, "loss": 0.31256, "time": 0.51816} -{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.20361, "decode.acc_seg": 74.63518, "aux.loss_seg": 0.1136, "aux.acc_seg": 72.56474, "loss": 0.31722, "time": 0.51083} -{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19912, "decode.acc_seg": 73.49852, "aux.loss_seg": 0.10781, "aux.acc_seg": 71.67475, "loss": 0.30693, "time": 0.51115} -{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.20514, "decode.acc_seg": 73.97175, "aux.loss_seg": 0.11454, "aux.acc_seg": 71.92544, "loss": 0.31969, "time": 0.51241} -{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.19494, "decode.acc_seg": 73.83538, "aux.loss_seg": 0.11048, "aux.acc_seg": 71.64314, "loss": 0.30542, "time": 0.53627} -{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.19498, "decode.acc_seg": 73.46701, "aux.loss_seg": 0.1072, "aux.acc_seg": 71.76519, "loss": 0.30218, "time": 0.54802} -{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.20692, "decode.acc_seg": 72.47694, "aux.loss_seg": 0.11267, "aux.acc_seg": 70.5895, "loss": 0.3196, "time": 0.54305} -{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.20561, "decode.acc_seg": 74.83584, "aux.loss_seg": 0.11324, "aux.acc_seg": 72.94847, "loss": 0.31886, "time": 0.52646} -{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.20554, "decode.acc_seg": 73.36113, "aux.loss_seg": 0.10971, "aux.acc_seg": 71.49075, "loss": 0.31525, "time": 0.51363} -{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.22163, "decode.acc_seg": 75.07369, "aux.loss_seg": 0.12139, "aux.acc_seg": 72.86424, "loss": 0.34302, "time": 0.53424} -{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.20523, "decode.acc_seg": 73.64703, "aux.loss_seg": 0.11195, "aux.acc_seg": 71.71095, "loss": 0.31717, "time": 0.54769} -{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.20433, "decode.acc_seg": 74.3801, "aux.loss_seg": 0.11155, "aux.acc_seg": 72.50053, "loss": 0.31588, "time": 0.54499} -{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4638, "mAcc": 0.5932, "aAcc": 0.8184, "IoU.wall": 0.7589, "IoU.building": 0.8058, "IoU.sky": 0.9402, "IoU.floor": 0.8045, "IoU.tree": 0.7418, "IoU.ceiling": 0.829, "IoU.road": 0.8198, "IoU.bed ": 0.8789, "IoU.windowpane": 0.5924, "IoU.grass": 0.6495, "IoU.cabinet": 0.596, "IoU.sidewalk": 0.6333, "IoU.person": 0.7671, "IoU.earth": 0.356, "IoU.door": 0.4407, "IoU.table": 0.5468, "IoU.mountain": 0.587, "IoU.plant": 0.5351, "IoU.curtain": 0.716, "IoU.chair": 0.531, "IoU.car": 0.8233, "IoU.water": 0.4832, "IoU.painting": 0.7032, "IoU.sofa": 0.5923, "IoU.shelf": 0.4455, "IoU.house": 0.4606, "IoU.sea": 0.5684, "IoU.mirror": 0.6616, "IoU.rug": 0.5597, "IoU.field": 0.2605, "IoU.armchair": 0.4093, "IoU.seat": 0.6211, "IoU.fence": 0.4347, "IoU.desk": 0.4481, "IoU.rock": 0.4604, "IoU.wardrobe": 0.5008, "IoU.lamp": 0.5867, "IoU.bathtub": 0.7258, "IoU.railing": 0.3091, "IoU.cushion": 0.5347, "IoU.base": 0.2822, "IoU.box": 0.2557, "IoU.column": 0.4571, "IoU.signboard": 0.3679, "IoU.chest of drawers": 0.3919, "IoU.counter": 0.2239, "IoU.sand": 0.4502, "IoU.sink": 0.681, "IoU.skyscraper": 0.6466, "IoU.fireplace": NaN, "IoU.refrigerator": 0.717, "IoU.grandstand": 0.4254, "IoU.path": 0.1964, "IoU.stairs": 0.2988, "IoU.runway": 0.7312, "IoU.case": 0.5303, "IoU.pool table": 0.9083, "IoU.pillow": 0.5442, "IoU.screen door": 0.6595, "IoU.stairway": 0.32, "IoU.river": 0.0771, "IoU.bridge": 0.6418, "IoU.bookcase": 0.4159, "IoU.blind": NaN, "IoU.coffee table": 0.4926, "IoU.toilet": 0.8199, "IoU.flower": 0.4324, "IoU.book": 0.4464, "IoU.hill": 0.0603, "IoU.bench": 0.5117, "IoU.countertop": 0.4847, "IoU.stove": 0.6865, "IoU.palm": 0.4687, "IoU.kitchen island": 0.3096, "IoU.computer": 0.5923, "IoU.swivel chair": 0.4215, "IoU.boat": 0.4351, "IoU.bar": 0.2441, "IoU.arcade machine": 0.6948, "IoU.hovel": 0.346, "IoU.bus": 0.831, "IoU.towel": 0.5344, "IoU.light": 0.5433, "IoU.truck": 0.3216, "IoU.tower": 0.095, "IoU.chandelier": 0.6305, "IoU.awning": 0.2283, "IoU.streetlight": 0.2116, "IoU.booth": 0.4981, "IoU.television receiver": NaN, "IoU.airplane": 0.6018, "IoU.dirt track": 0.1075, "IoU.apparel": 0.2435, "IoU.pole": 0.1465, "IoU.land": 0.0451, "IoU.bannister": 0.0927, "IoU.escalator": 0.5419, "IoU.ottoman": 0.4128, "IoU.bottle": NaN, "IoU.buffet": 0.481, "IoU.poster": 0.3543, "IoU.stage": 0.1614, "IoU.van": 0.3852, "IoU.ship": 0.6155, "IoU.fountain": 0.1971, "IoU.conveyer belt": 0.7222, "IoU.canopy": 0.116, "IoU.washer": 0.735, "IoU.plaything": 0.1803, "IoU.swimming pool": 0.5475, "IoU.stool": 0.4097, "IoU.barrel": 0.5449, "IoU.basket": 0.3126, "IoU.waterfall": 0.4241, "IoU.tent": 0.7725, "IoU.bag": 0.1277, "IoU.minibike": 0.7093, "IoU.cradle": NaN, "IoU.oven": 0.3133, "IoU.ball": 0.363, "IoU.food": 0.3654, "IoU.step": 0.0571, "IoU.tank": 0.5246, "IoU.trade name": 0.2832, "IoU.microwave": 0.6373, "IoU.pot": 0.4624, "IoU.animal": NaN, "IoU.bicycle": 0.5206, "IoU.lake": 0.5866, "IoU.dishwasher": 0.5067, "IoU.screen": 0.6218, "IoU.blanket": 0.0656, "IoU.sculpture": 0.5217, "IoU.hood": 0.5429, "IoU.sconce": 0.4276, "IoU.vase": 0.3553, "IoU.traffic light": 0.2727, "IoU.tray": 0.0714, "IoU.ashcan": 0.3904, "IoU.fan": 0.5453, "IoU.pier": 0.2932, "IoU.crt screen": 0.0371, "IoU.plate": 0.509, "IoU.monitor": 0.0265, "IoU.bulletin board": 0.4027, "IoU.shower": 0.023, "IoU.radiator": 0.5525, "IoU.glass": 0.1177, "IoU.clock": 0.2527, "IoU.flag": 0.4698, "Acc.wall": 0.8687, "Acc.building": 0.9021, "Acc.sky": 0.971, "Acc.floor": 0.897, "Acc.tree": 0.8807, "Acc.ceiling": 0.9228, "Acc.road": 0.9039, "Acc.bed ": 0.9452, "Acc.windowpane": 0.7654, "Acc.grass": 0.804, "Acc.cabinet": 0.7353, "Acc.sidewalk": 0.7811, "Acc.person": 0.9087, "Acc.earth": 0.459, "Acc.door": 0.5541, "Acc.table": 0.7048, "Acc.mountain": 0.7304, "Acc.plant": 0.6563, "Acc.curtain": 0.852, "Acc.chair": 0.6733, "Acc.car": 0.9177, "Acc.water": 0.6356, "Acc.painting": 0.8131, "Acc.sofa": 0.7065, "Acc.shelf": 0.6253, "Acc.house": 0.6398, "Acc.sea": 0.8024, "Acc.mirror": 0.7527, "Acc.rug": 0.6479, "Acc.field": 0.4763, "Acc.armchair": 0.6939, "Acc.seat": 0.8346, "Acc.fence": 0.6446, "Acc.desk": 0.6465, "Acc.rock": 0.7396, "Acc.wardrobe": 0.6307, "Acc.lamp": 0.7264, "Acc.bathtub": 0.812, "Acc.railing": 0.479, "Acc.cushion": 0.717, "Acc.base": 0.4714, "Acc.box": 0.3235, "Acc.column": 0.6229, "Acc.signboard": 0.5149, "Acc.chest of drawers": 0.5611, "Acc.counter": 0.2905, "Acc.sand": 0.7314, "Acc.sink": 0.7776, "Acc.skyscraper": 0.8781, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8559, "Acc.grandstand": 0.6174, "Acc.path": 0.2727, "Acc.stairs": 0.3813, "Acc.runway": 0.9571, "Acc.case": 0.6427, "Acc.pool table": 0.9614, "Acc.pillow": 0.7128, "Acc.screen door": 0.7748, "Acc.stairway": 0.3669, "Acc.river": 0.1973, "Acc.bridge": 0.8537, "Acc.bookcase": 0.5205, "Acc.blind": NaN, "Acc.coffee table": 0.7684, "Acc.toilet": 0.8891, "Acc.flower": 0.5419, "Acc.book": 0.6574, "Acc.hill": 0.0896, "Acc.bench": 0.5959, "Acc.countertop": 0.6424, "Acc.stove": 0.8064, "Acc.palm": 0.7595, "Acc.kitchen island": 0.6457, "Acc.computer": 0.7117, "Acc.swivel chair": 0.6398, "Acc.boat": 0.5193, "Acc.bar": 0.3072, "Acc.arcade machine": 0.7426, "Acc.hovel": 0.3621, "Acc.bus": 0.9565, "Acc.towel": 0.6914, "Acc.light": 0.6325, "Acc.truck": 0.4779, "Acc.tower": 0.1263, "Acc.chandelier": 0.8139, "Acc.awning": 0.287, "Acc.streetlight": 0.282, "Acc.booth": 0.6127, "Acc.television receiver": NaN, "Acc.airplane": 0.6745, "Acc.dirt track": 0.2069, "Acc.apparel": 0.406, "Acc.pole": 0.181, "Acc.land": 0.0522, "Acc.bannister": 0.1142, "Acc.escalator": 0.8258, "Acc.ottoman": 0.5678, "Acc.bottle": NaN, "Acc.buffet": 0.6114, "Acc.poster": 0.5796, "Acc.stage": 0.2797, "Acc.van": 0.5376, "Acc.ship": 0.8822, "Acc.fountain": 0.2107, "Acc.conveyer belt": 0.8452, "Acc.canopy": 0.1702, "Acc.washer": 0.7764, "Acc.plaything": 0.2853, "Acc.swimming pool": 0.8305, "Acc.stool": 0.517, "Acc.barrel": 0.633, "Acc.basket": 0.4022, "Acc.waterfall": 0.6038, "Acc.tent": 0.9831, "Acc.bag": 0.1684, "Acc.minibike": 0.8816, "Acc.cradle": NaN, "Acc.oven": 0.465, "Acc.ball": 0.4232, "Acc.food": 0.4186, "Acc.step": 0.0643, "Acc.tank": 0.606, "Acc.trade name": 0.354, "Acc.microwave": 0.7545, "Acc.pot": 0.5168, "Acc.animal": NaN, "Acc.bicycle": 0.7423, "Acc.lake": 0.6226, "Acc.dishwasher": 0.6739, "Acc.screen": 0.8968, "Acc.blanket": 0.0731, "Acc.sculpture": 0.791, "Acc.hood": 0.6221, "Acc.sconce": 0.5699, "Acc.vase": 0.4772, "Acc.traffic light": 0.4076, "Acc.tray": 0.146, "Acc.ashcan": 0.581, "Acc.fan": 0.7345, "Acc.pier": 0.4909, "Acc.crt screen": 0.117, "Acc.plate": 0.6129, "Acc.monitor": 0.0296, "Acc.bulletin board": 0.6466, "Acc.shower": 0.0393, "Acc.radiator": 0.6273, "Acc.glass": 0.1261, "Acc.clock": 0.3177, "Acc.flag": 0.5467} -{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 22404, "data_time": 1.59913, "decode.loss_seg": 0.19956, "decode.acc_seg": 73.45124, "aux.loss_seg": 0.10959, "aux.acc_seg": 71.58858, "loss": 0.30915, "time": 2.11679} -{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.21189, "decode.acc_seg": 73.70144, "aux.loss_seg": 0.11349, "aux.acc_seg": 71.8863, "loss": 0.32538, "time": 0.50982} -{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.20796, "decode.acc_seg": 74.03945, "aux.loss_seg": 0.1114, "aux.acc_seg": 72.29302, "loss": 0.31936, "time": 0.51789} -{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.20909, "decode.acc_seg": 75.45033, "aux.loss_seg": 0.11385, "aux.acc_seg": 73.52757, "loss": 0.32294, "time": 0.50992} -{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.20198, "decode.acc_seg": 75.40123, "aux.loss_seg": 0.11275, "aux.acc_seg": 73.3649, "loss": 0.31474, "time": 0.51354} -{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.21588, "decode.acc_seg": 74.95586, "aux.loss_seg": 0.11636, "aux.acc_seg": 73.08674, "loss": 0.33224, "time": 0.5176} -{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.19082, "decode.acc_seg": 74.94228, "aux.loss_seg": 0.10619, "aux.acc_seg": 72.93409, "loss": 0.29701, "time": 0.5265} -{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.19737, "decode.acc_seg": 72.83772, "aux.loss_seg": 0.10648, "aux.acc_seg": 71.08758, "loss": 0.30384, "time": 0.52197} -{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.19199, "decode.acc_seg": 73.95971, "aux.loss_seg": 0.10644, "aux.acc_seg": 72.04362, "loss": 0.29843, "time": 0.51013} -{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.21518, "decode.acc_seg": 73.38779, "aux.loss_seg": 0.11641, "aux.acc_seg": 71.45464, "loss": 0.33159, "time": 0.51581} -{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.21527, "decode.acc_seg": 74.42348, "aux.loss_seg": 0.11688, "aux.acc_seg": 72.36922, "loss": 0.33215, "time": 0.51389} -{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 22404, "data_time": 0.00669, "decode.loss_seg": 0.20477, "decode.acc_seg": 73.03691, "aux.loss_seg": 0.11423, "aux.acc_seg": 70.98375, "loss": 0.319, "time": 0.51522} -{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.20057, "decode.acc_seg": 73.34983, "aux.loss_seg": 0.10925, "aux.acc_seg": 71.43331, "loss": 0.30982, "time": 0.50772} -{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.20812, "decode.acc_seg": 73.75257, "aux.loss_seg": 0.1116, "aux.acc_seg": 72.08611, "loss": 0.31972, "time": 0.50872} -{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.20613, "decode.acc_seg": 73.27466, "aux.loss_seg": 0.10955, "aux.acc_seg": 71.43902, "loss": 0.31568, "time": 0.51015} -{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.19553, "decode.acc_seg": 74.48412, "aux.loss_seg": 0.11011, "aux.acc_seg": 72.35518, "loss": 0.30564, "time": 0.51007} -{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.21592, "decode.acc_seg": 75.19135, "aux.loss_seg": 0.11772, "aux.acc_seg": 73.23974, "loss": 0.33364, "time": 0.525} -{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.19387, "decode.acc_seg": 74.48487, "aux.loss_seg": 0.10632, "aux.acc_seg": 72.5681, "loss": 0.30019, "time": 0.53179} -{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.21216, "decode.acc_seg": 73.9811, "aux.loss_seg": 0.11456, "aux.acc_seg": 72.08988, "loss": 0.32672, "time": 0.52247} -{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.20476, "decode.acc_seg": 73.89974, "aux.loss_seg": 0.11207, "aux.acc_seg": 72.04274, "loss": 0.31684, "time": 0.52281} -{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.20139, "decode.acc_seg": 72.63931, "aux.loss_seg": 0.11305, "aux.acc_seg": 70.54166, "loss": 0.31444, "time": 0.53839} -{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19916, "decode.acc_seg": 73.00158, "aux.loss_seg": 0.10831, "aux.acc_seg": 71.12681, "loss": 0.30746, "time": 0.52435} -{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.19402, "decode.acc_seg": 74.58766, "aux.loss_seg": 0.10525, "aux.acc_seg": 72.83125, "loss": 0.29927, "time": 0.5098} -{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.20397, "decode.acc_seg": 72.70158, "aux.loss_seg": 0.11005, "aux.acc_seg": 70.92199, "loss": 0.31402, "time": 0.50746} -{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.201, "decode.acc_seg": 74.36793, "aux.loss_seg": 0.10833, "aux.acc_seg": 72.66703, "loss": 0.30933, "time": 0.50441} -{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 22404, "data_time": 0.24757, "decode.loss_seg": 0.19854, "decode.acc_seg": 74.19294, "aux.loss_seg": 0.11173, "aux.acc_seg": 72.03588, "loss": 0.31027, "time": 0.74829} -{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.20308, "decode.acc_seg": 75.35937, "aux.loss_seg": 0.11203, "aux.acc_seg": 73.35344, "loss": 0.31511, "time": 0.51115} -{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 22404, "data_time": 0.00668, "decode.loss_seg": 0.20342, "decode.acc_seg": 73.64974, "aux.loss_seg": 0.11284, "aux.acc_seg": 71.50688, "loss": 0.31626, "time": 0.51162} -{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.20645, "decode.acc_seg": 73.76912, "aux.loss_seg": 0.1151, "aux.acc_seg": 71.68702, "loss": 0.32155, "time": 0.51211} -{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.20644, "decode.acc_seg": 73.62833, "aux.loss_seg": 0.11382, "aux.acc_seg": 71.56774, "loss": 0.32026, "time": 0.51465} -{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.20166, "decode.acc_seg": 74.04495, "aux.loss_seg": 0.1118, "aux.acc_seg": 72.13984, "loss": 0.31346, "time": 0.51095} -{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.20876, "decode.acc_seg": 74.38657, "aux.loss_seg": 0.1153, "aux.acc_seg": 72.43955, "loss": 0.32406, "time": 0.53057} -{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.21441, "decode.acc_seg": 74.06857, "aux.loss_seg": 0.1153, "aux.acc_seg": 72.15807, "loss": 0.32971, "time": 0.51988} -{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.20611, "decode.acc_seg": 73.40768, "aux.loss_seg": 0.11078, "aux.acc_seg": 71.58688, "loss": 0.31689, "time": 0.51517} -{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 22404, "data_time": 0.0066, "decode.loss_seg": 0.20901, "decode.acc_seg": 73.48156, "aux.loss_seg": 0.11198, "aux.acc_seg": 71.75394, "loss": 0.32099, "time": 0.51501} -{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.20858, "decode.acc_seg": 73.63813, "aux.loss_seg": 0.11436, "aux.acc_seg": 71.72825, "loss": 0.32294, "time": 0.51264} -{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.20299, "decode.acc_seg": 73.53922, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.64031, "loss": 0.31426, "time": 0.5156} -{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.20275, "decode.acc_seg": 75.28129, "aux.loss_seg": 0.11159, "aux.acc_seg": 73.25546, "loss": 0.31434, "time": 0.51231} -{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.21209, "decode.acc_seg": 74.35866, "aux.loss_seg": 0.11713, "aux.acc_seg": 72.34661, "loss": 0.32922, "time": 0.50959} -{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.22538, "decode.acc_seg": 73.8965, "aux.loss_seg": 0.11861, "aux.acc_seg": 72.107, "loss": 0.344, "time": 0.51848} -{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.21145, "decode.acc_seg": 73.59885, "aux.loss_seg": 0.11342, "aux.acc_seg": 71.73379, "loss": 0.32487, "time": 0.53027} -{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.19909, "decode.acc_seg": 74.21876, "aux.loss_seg": 0.10876, "aux.acc_seg": 72.36673, "loss": 0.30785, "time": 0.51509} -{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.2052, "decode.acc_seg": 74.02928, "aux.loss_seg": 0.11288, "aux.acc_seg": 72.04017, "loss": 0.31809, "time": 0.50858} -{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.2008, "decode.acc_seg": 73.78009, "aux.loss_seg": 0.11058, "aux.acc_seg": 71.81965, "loss": 0.31139, "time": 0.5121} -{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.18955, "decode.acc_seg": 74.12144, "aux.loss_seg": 0.10446, "aux.acc_seg": 72.27484, "loss": 0.29401, "time": 0.51925} -{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.20743, "decode.acc_seg": 73.24156, "aux.loss_seg": 0.11078, "aux.acc_seg": 71.50965, "loss": 0.31821, "time": 0.53527} -{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19311, "decode.acc_seg": 72.10737, "aux.loss_seg": 0.10459, "aux.acc_seg": 70.32554, "loss": 0.2977, "time": 0.54356} -{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 22404, "data_time": 0.00814, "decode.loss_seg": 0.20908, "decode.acc_seg": 74.53992, "aux.loss_seg": 0.11408, "aux.acc_seg": 72.59028, "loss": 0.32316, "time": 0.53794} -{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.20298, "decode.acc_seg": 73.72063, "aux.loss_seg": 0.11398, "aux.acc_seg": 71.67452, "loss": 0.31696, "time": 0.51554} -{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.21212, "decode.acc_seg": 73.56585, "aux.loss_seg": 0.11435, "aux.acc_seg": 71.68862, "loss": 0.32648, "time": 0.51148} -{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 22404, "data_time": 0.24931, "decode.loss_seg": 0.20216, "decode.acc_seg": 73.11844, "aux.loss_seg": 0.1118, "aux.acc_seg": 71.03593, "loss": 0.31395, "time": 0.7506} -{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.19443, "decode.acc_seg": 74.44001, "aux.loss_seg": 0.10914, "aux.acc_seg": 72.41807, "loss": 0.30357, "time": 0.51031} -{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 22404, "data_time": 0.0065, "decode.loss_seg": 0.2017, "decode.acc_seg": 74.59144, "aux.loss_seg": 0.11224, "aux.acc_seg": 72.58828, "loss": 0.31394, "time": 0.50925} -{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.20456, "decode.acc_seg": 73.3905, "aux.loss_seg": 0.11132, "aux.acc_seg": 71.51839, "loss": 0.31588, "time": 0.51106} -{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.19128, "decode.acc_seg": 74.18594, "aux.loss_seg": 0.10612, "aux.acc_seg": 72.25741, "loss": 0.2974, "time": 0.50759} -{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.20367, "decode.acc_seg": 73.143, "aux.loss_seg": 0.11116, "aux.acc_seg": 71.26768, "loss": 0.31483, "time": 0.52543} -{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.18424, "decode.acc_seg": 73.88609, "aux.loss_seg": 0.10307, "aux.acc_seg": 71.99727, "loss": 0.28731, "time": 0.51198} -{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.19648, "decode.acc_seg": 74.1349, "aux.loss_seg": 0.10809, "aux.acc_seg": 72.2519, "loss": 0.30457, "time": 0.5116} -{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 22404, "data_time": 0.00674, "decode.loss_seg": 0.19643, "decode.acc_seg": 74.59348, "aux.loss_seg": 0.10812, "aux.acc_seg": 72.6899, "loss": 0.30456, "time": 0.51093} -{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.20571, "decode.acc_seg": 72.49812, "aux.loss_seg": 0.11132, "aux.acc_seg": 70.63658, "loss": 0.31703, "time": 0.51715} -{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.22393, "decode.acc_seg": 73.90244, "aux.loss_seg": 0.12182, "aux.acc_seg": 71.80348, "loss": 0.34575, "time": 0.51585} -{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.20226, "decode.acc_seg": 74.86018, "aux.loss_seg": 0.11107, "aux.acc_seg": 72.76507, "loss": 0.31333, "time": 0.52431} -{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.20326, "decode.acc_seg": 72.58241, "aux.loss_seg": 0.11394, "aux.acc_seg": 70.42835, "loss": 0.3172, "time": 0.52476} -{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.20831, "decode.acc_seg": 73.64931, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.74664, "loss": 0.32216, "time": 0.52379} -{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.20794, "decode.acc_seg": 72.78776, "aux.loss_seg": 0.11217, "aux.acc_seg": 70.89172, "loss": 0.32011, "time": 0.53541} -{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.19661, "decode.acc_seg": 74.10881, "aux.loss_seg": 0.10639, "aux.acc_seg": 72.27099, "loss": 0.303, "time": 0.53517} -{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.21276, "decode.acc_seg": 74.27038, "aux.loss_seg": 0.11468, "aux.acc_seg": 72.39819, "loss": 0.32744, "time": 0.51397} -{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.19338, "decode.acc_seg": 73.48831, "aux.loss_seg": 0.10721, "aux.acc_seg": 71.40662, "loss": 0.30059, "time": 0.52768} -{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.20006, "decode.acc_seg": 75.96291, "aux.loss_seg": 0.11218, "aux.acc_seg": 73.76248, "loss": 0.31224, "time": 0.52192} -{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 22404, "data_time": 0.0067, "decode.loss_seg": 0.20681, "decode.acc_seg": 73.80357, "aux.loss_seg": 0.11199, "aux.acc_seg": 71.96026, "loss": 0.3188, "time": 0.53657} -{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.20515, "decode.acc_seg": 73.67295, "aux.loss_seg": 0.11134, "aux.acc_seg": 71.85262, "loss": 0.31649, "time": 0.53762} -{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.20759, "decode.acc_seg": 73.20889, "aux.loss_seg": 0.11371, "aux.acc_seg": 71.29234, "loss": 0.3213, "time": 0.53688} -{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.20723, "decode.acc_seg": 73.35355, "aux.loss_seg": 0.11199, "aux.acc_seg": 71.51653, "loss": 0.31922, "time": 0.5198} -{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 22404, "data_time": 0.00617, "decode.loss_seg": 0.19357, "decode.acc_seg": 74.65176, "aux.loss_seg": 0.10699, "aux.acc_seg": 72.69015, "loss": 0.30056, "time": 0.52212} -{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.19626, "decode.acc_seg": 74.31098, "aux.loss_seg": 0.10686, "aux.acc_seg": 72.53621, "loss": 0.30312, "time": 0.52042} -{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 22404, "data_time": 0.24808, "decode.loss_seg": 0.20137, "decode.acc_seg": 74.32589, "aux.loss_seg": 0.11157, "aux.acc_seg": 72.30373, "loss": 0.31293, "time": 0.76267} -{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.19736, "decode.acc_seg": 74.99789, "aux.loss_seg": 0.10679, "aux.acc_seg": 73.13228, "loss": 0.30415, "time": 0.51562} -{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.19896, "decode.acc_seg": 74.98279, "aux.loss_seg": 0.10932, "aux.acc_seg": 73.0225, "loss": 0.30828, "time": 0.52676} -{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.21689, "decode.acc_seg": 73.27898, "aux.loss_seg": 0.11878, "aux.acc_seg": 71.15076, "loss": 0.33567, "time": 0.53461} -{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.20635, "decode.acc_seg": 74.88656, "aux.loss_seg": 0.11496, "aux.acc_seg": 72.80307, "loss": 0.32131, "time": 0.51129} -{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.19334, "decode.acc_seg": 74.7867, "aux.loss_seg": 0.10875, "aux.acc_seg": 72.7867, "loss": 0.30209, "time": 0.5318} -{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.20416, "decode.acc_seg": 73.43425, "aux.loss_seg": 0.11081, "aux.acc_seg": 71.53805, "loss": 0.31496, "time": 0.52354} -{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.20518, "decode.acc_seg": 74.35223, "aux.loss_seg": 0.11384, "aux.acc_seg": 72.30808, "loss": 0.31902, "time": 0.52775} -{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.20357, "decode.acc_seg": 75.6449, "aux.loss_seg": 0.1089, "aux.acc_seg": 73.93868, "loss": 0.31247, "time": 0.52177} -{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.20658, "decode.acc_seg": 73.84231, "aux.loss_seg": 0.11201, "aux.acc_seg": 72.05089, "loss": 0.31859, "time": 0.5096} -{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.20535, "decode.acc_seg": 75.34656, "aux.loss_seg": 0.1129, "aux.acc_seg": 73.45399, "loss": 0.31825, "time": 0.53468} -{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.19991, "decode.acc_seg": 73.92466, "aux.loss_seg": 0.11027, "aux.acc_seg": 71.95607, "loss": 0.31018, "time": 0.51932} -{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.20097, "decode.acc_seg": 75.01722, "aux.loss_seg": 0.1097, "aux.acc_seg": 73.20687, "loss": 0.31068, "time": 0.5202} -{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19121, "decode.acc_seg": 74.03481, "aux.loss_seg": 0.10601, "aux.acc_seg": 72.16505, "loss": 0.29721, "time": 0.52208} -{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.19118, "decode.acc_seg": 74.42785, "aux.loss_seg": 0.10418, "aux.acc_seg": 72.59837, "loss": 0.29536, "time": 0.51742} -{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.19587, "decode.acc_seg": 73.90532, "aux.loss_seg": 0.10872, "aux.acc_seg": 71.98172, "loss": 0.30458, "time": 0.51198} -{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.20936, "decode.acc_seg": 74.62897, "aux.loss_seg": 0.1132, "aux.acc_seg": 72.70439, "loss": 0.32256, "time": 0.52484} -{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19979, "decode.acc_seg": 73.82601, "aux.loss_seg": 0.10893, "aux.acc_seg": 71.93899, "loss": 0.30873, "time": 0.51294} -{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.19227, "decode.acc_seg": 72.7682, "aux.loss_seg": 0.10541, "aux.acc_seg": 71.00202, "loss": 0.29768, "time": 0.51402} -{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.2025, "decode.acc_seg": 72.60879, "aux.loss_seg": 0.11157, "aux.acc_seg": 70.53858, "loss": 0.31407, "time": 0.51015} -{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.19505, "decode.acc_seg": 73.58674, "aux.loss_seg": 0.10873, "aux.acc_seg": 71.68738, "loss": 0.30378, "time": 0.51721} -{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.19773, "decode.acc_seg": 74.01422, "aux.loss_seg": 0.10721, "aux.acc_seg": 72.20844, "loss": 0.30493, "time": 0.54147} -{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.20416, "decode.acc_seg": 74.6788, "aux.loss_seg": 0.11099, "aux.acc_seg": 72.80231, "loss": 0.31516, "time": 0.53566} -{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.21036, "decode.acc_seg": 73.87586, "aux.loss_seg": 0.11579, "aux.acc_seg": 71.81378, "loss": 0.32615, "time": 0.52764} -{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.2071, "decode.acc_seg": 74.38694, "aux.loss_seg": 0.1132, "aux.acc_seg": 72.5188, "loss": 0.32031, "time": 0.51297} -{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 22404, "data_time": 0.25619, "decode.loss_seg": 0.21624, "decode.acc_seg": 75.10598, "aux.loss_seg": 0.11537, "aux.acc_seg": 73.25785, "loss": 0.33162, "time": 0.77492} -{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.19951, "decode.acc_seg": 73.53042, "aux.loss_seg": 0.11084, "aux.acc_seg": 71.63578, "loss": 0.31034, "time": 0.52196} -{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.20297, "decode.acc_seg": 71.96546, "aux.loss_seg": 0.1149, "aux.acc_seg": 69.88301, "loss": 0.31787, "time": 0.51951} -{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.19365, "decode.acc_seg": 74.83409, "aux.loss_seg": 0.10893, "aux.acc_seg": 72.86913, "loss": 0.30258, "time": 0.54368} -{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.19834, "decode.acc_seg": 74.48716, "aux.loss_seg": 0.10685, "aux.acc_seg": 72.73144, "loss": 0.30519, "time": 0.53599} -{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19004, "decode.acc_seg": 73.81616, "aux.loss_seg": 0.10556, "aux.acc_seg": 71.9067, "loss": 0.2956, "time": 0.51556} -{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19583, "decode.acc_seg": 73.54248, "aux.loss_seg": 0.10655, "aux.acc_seg": 71.69694, "loss": 0.30238, "time": 0.51768} -{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.20948, "decode.acc_seg": 74.78864, "aux.loss_seg": 0.11652, "aux.acc_seg": 72.72686, "loss": 0.32601, "time": 0.52074} -{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.19908, "decode.acc_seg": 74.16222, "aux.loss_seg": 0.10832, "aux.acc_seg": 72.39855, "loss": 0.3074, "time": 0.53143} -{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.2138, "decode.acc_seg": 74.74957, "aux.loss_seg": 0.11706, "aux.acc_seg": 72.663, "loss": 0.33085, "time": 0.52468} -{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.21075, "decode.acc_seg": 74.38106, "aux.loss_seg": 0.11229, "aux.acc_seg": 72.67735, "loss": 0.32304, "time": 0.54374} -{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.21023, "decode.acc_seg": 75.2953, "aux.loss_seg": 0.11638, "aux.acc_seg": 73.32785, "loss": 0.32661, "time": 0.54407} -{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.20512, "decode.acc_seg": 74.08515, "aux.loss_seg": 0.11411, "aux.acc_seg": 72.03952, "loss": 0.31924, "time": 0.54455} -{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.21791, "decode.acc_seg": 72.2634, "aux.loss_seg": 0.12163, "aux.acc_seg": 70.04696, "loss": 0.33954, "time": 0.51308} -{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.19665, "decode.acc_seg": 73.70869, "aux.loss_seg": 0.10851, "aux.acc_seg": 71.73483, "loss": 0.30516, "time": 0.51541} -{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.20088, "decode.acc_seg": 73.8038, "aux.loss_seg": 0.1108, "aux.acc_seg": 71.88495, "loss": 0.31167, "time": 0.51611} -{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.19991, "decode.acc_seg": 75.01234, "aux.loss_seg": 0.10959, "aux.acc_seg": 73.16902, "loss": 0.3095, "time": 0.51554} -{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.20888, "decode.acc_seg": 73.05611, "aux.loss_seg": 0.11429, "aux.acc_seg": 71.0922, "loss": 0.32317, "time": 0.51177} -{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19681, "decode.acc_seg": 75.14843, "aux.loss_seg": 0.10835, "aux.acc_seg": 73.20844, "loss": 0.30516, "time": 0.50945} -{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19781, "decode.acc_seg": 74.04628, "aux.loss_seg": 0.10676, "aux.acc_seg": 72.12057, "loss": 0.30457, "time": 0.51102} -{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.19721, "decode.acc_seg": 73.3588, "aux.loss_seg": 0.10781, "aux.acc_seg": 71.44146, "loss": 0.30502, "time": 0.5086} -{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.18959, "decode.acc_seg": 74.24608, "aux.loss_seg": 0.10339, "aux.acc_seg": 72.40924, "loss": 0.29298, "time": 0.52423} -{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.20636, "decode.acc_seg": 74.96485, "aux.loss_seg": 0.11202, "aux.acc_seg": 72.92014, "loss": 0.31839, "time": 0.52244} -{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.1971, "decode.acc_seg": 74.54725, "aux.loss_seg": 0.10887, "aux.acc_seg": 72.63767, "loss": 0.30597, "time": 0.53295} -{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.20316, "decode.acc_seg": 74.29551, "aux.loss_seg": 0.10979, "aux.acc_seg": 72.41459, "loss": 0.31295, "time": 0.513} -{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.19763, "decode.acc_seg": 73.30722, "aux.loss_seg": 0.10838, "aux.acc_seg": 71.46711, "loss": 0.30601, "time": 0.54052} -{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 22404, "data_time": 0.23999, "decode.loss_seg": 0.19008, "decode.acc_seg": 75.5797, "aux.loss_seg": 0.1038, "aux.acc_seg": 73.78713, "loss": 0.29388, "time": 0.76408} -{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19903, "decode.acc_seg": 73.05854, "aux.loss_seg": 0.11017, "aux.acc_seg": 70.96748, "loss": 0.3092, "time": 0.50879} -{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19326, "decode.acc_seg": 73.87537, "aux.loss_seg": 0.10576, "aux.acc_seg": 72.15777, "loss": 0.29902, "time": 0.52764} -{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.20117, "decode.acc_seg": 74.66305, "aux.loss_seg": 0.10974, "aux.acc_seg": 72.7752, "loss": 0.3109, "time": 0.50995} -{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19448, "decode.acc_seg": 73.43369, "aux.loss_seg": 0.10729, "aux.acc_seg": 71.56585, "loss": 0.30177, "time": 0.51073} -{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19876, "decode.acc_seg": 75.4817, "aux.loss_seg": 0.10894, "aux.acc_seg": 73.63218, "loss": 0.30771, "time": 0.50877} -{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19409, "decode.acc_seg": 74.87716, "aux.loss_seg": 0.10682, "aux.acc_seg": 72.95344, "loss": 0.3009, "time": 0.51014} -{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1993, "decode.acc_seg": 72.99404, "aux.loss_seg": 0.10959, "aux.acc_seg": 71.1158, "loss": 0.30888, "time": 0.51557} -{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.18873, "decode.acc_seg": 73.4331, "aux.loss_seg": 0.10211, "aux.acc_seg": 71.68024, "loss": 0.29084, "time": 0.5159} -{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18836, "decode.acc_seg": 72.77411, "aux.loss_seg": 0.1045, "aux.acc_seg": 70.95127, "loss": 0.29286, "time": 0.51494} -{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19471, "decode.acc_seg": 75.02168, "aux.loss_seg": 0.10537, "aux.acc_seg": 73.19819, "loss": 0.30008, "time": 0.51424} -{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.20824, "decode.acc_seg": 74.50093, "aux.loss_seg": 0.11115, "aux.acc_seg": 72.70862, "loss": 0.31939, "time": 0.50974} -{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.20656, "decode.acc_seg": 73.73366, "aux.loss_seg": 0.11239, "aux.acc_seg": 71.8245, "loss": 0.31895, "time": 0.51726} -{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.19899, "decode.acc_seg": 71.55304, "aux.loss_seg": 0.11004, "aux.acc_seg": 69.58429, "loss": 0.30903, "time": 0.51933} -{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.20756, "decode.acc_seg": 74.09842, "aux.loss_seg": 0.11263, "aux.acc_seg": 72.18804, "loss": 0.32019, "time": 0.51254} -{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.19724, "decode.acc_seg": 74.26684, "aux.loss_seg": 0.11025, "aux.acc_seg": 72.10358, "loss": 0.30749, "time": 0.51998} -{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.20159, "decode.acc_seg": 74.03977, "aux.loss_seg": 0.10976, "aux.acc_seg": 72.21612, "loss": 0.31135, "time": 0.51569} -{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.20545, "decode.acc_seg": 74.22355, "aux.loss_seg": 0.11262, "aux.acc_seg": 72.29984, "loss": 0.31807, "time": 0.50911} -{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.2029, "decode.acc_seg": 74.21498, "aux.loss_seg": 0.11251, "aux.acc_seg": 72.11395, "loss": 0.31541, "time": 0.51443} -{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.19477, "decode.acc_seg": 73.89761, "aux.loss_seg": 0.10769, "aux.acc_seg": 71.97583, "loss": 0.30245, "time": 0.51204} -{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.1976, "decode.acc_seg": 73.92528, "aux.loss_seg": 0.11023, "aux.acc_seg": 71.93792, "loss": 0.30783, "time": 0.51563} -{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.1956, "decode.acc_seg": 74.43625, "aux.loss_seg": 0.10658, "aux.acc_seg": 72.45001, "loss": 0.30218, "time": 0.51197} -{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19793, "decode.acc_seg": 74.1697, "aux.loss_seg": 0.10918, "aux.acc_seg": 72.26948, "loss": 0.30711, "time": 0.52533} -{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.2043, "decode.acc_seg": 73.08969, "aux.loss_seg": 0.11352, "aux.acc_seg": 71.13115, "loss": 0.31782, "time": 0.5132} -{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.2011, "decode.acc_seg": 75.15752, "aux.loss_seg": 0.11051, "aux.acc_seg": 73.17073, "loss": 0.3116, "time": 0.51306} -{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 22404, "data_time": 0.24568, "decode.loss_seg": 0.19597, "decode.acc_seg": 74.6354, "aux.loss_seg": 0.10876, "aux.acc_seg": 72.64859, "loss": 0.30473, "time": 0.74862} -{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.19206, "decode.acc_seg": 75.52929, "aux.loss_seg": 0.10652, "aux.acc_seg": 73.52675, "loss": 0.29858, "time": 0.51304} -{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.20159, "decode.acc_seg": 74.94195, "aux.loss_seg": 0.1078, "aux.acc_seg": 73.19113, "loss": 0.30939, "time": 0.51443} -{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.20093, "decode.acc_seg": 74.77341, "aux.loss_seg": 0.11389, "aux.acc_seg": 72.71258, "loss": 0.31482, "time": 0.5157} -{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.19827, "decode.acc_seg": 74.78751, "aux.loss_seg": 0.11155, "aux.acc_seg": 72.76651, "loss": 0.30982, "time": 0.51112} -{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.19436, "decode.acc_seg": 73.87192, "aux.loss_seg": 0.10714, "aux.acc_seg": 71.93784, "loss": 0.3015, "time": 0.51894} -{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.20026, "decode.acc_seg": 73.76353, "aux.loss_seg": 0.10951, "aux.acc_seg": 71.83755, "loss": 0.30977, "time": 0.51805} -{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.19488, "decode.acc_seg": 75.36716, "aux.loss_seg": 0.10706, "aux.acc_seg": 73.50426, "loss": 0.30194, "time": 0.51181} -{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.19623, "decode.acc_seg": 74.26018, "aux.loss_seg": 0.10718, "aux.acc_seg": 72.46219, "loss": 0.30341, "time": 0.54271} -{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.18851, "decode.acc_seg": 73.8163, "aux.loss_seg": 0.10208, "aux.acc_seg": 72.11211, "loss": 0.29059, "time": 0.52353} -{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.20046, "decode.acc_seg": 73.92748, "aux.loss_seg": 0.11035, "aux.acc_seg": 72.01624, "loss": 0.31081, "time": 0.51403} -{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.199, "decode.acc_seg": 74.25126, "aux.loss_seg": 0.11076, "aux.acc_seg": 72.16788, "loss": 0.30977, "time": 0.50951} -{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.1971, "decode.acc_seg": 74.16096, "aux.loss_seg": 0.11022, "aux.acc_seg": 72.1962, "loss": 0.30732, "time": 0.50767} -{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.19241, "decode.acc_seg": 75.18918, "aux.loss_seg": 0.10476, "aux.acc_seg": 73.43005, "loss": 0.29718, "time": 0.51105} -{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.19813, "decode.acc_seg": 74.73439, "aux.loss_seg": 0.10949, "aux.acc_seg": 72.83429, "loss": 0.30761, "time": 0.51141} -{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.20099, "decode.acc_seg": 74.22365, "aux.loss_seg": 0.10865, "aux.acc_seg": 72.42154, "loss": 0.30964, "time": 0.51137} -{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.18807, "decode.acc_seg": 75.67446, "aux.loss_seg": 0.10681, "aux.acc_seg": 73.6254, "loss": 0.29487, "time": 0.54854} -{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.19776, "decode.acc_seg": 73.71843, "aux.loss_seg": 0.10656, "aux.acc_seg": 72.13073, "loss": 0.30432, "time": 0.53164} -{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.2052, "decode.acc_seg": 73.17641, "aux.loss_seg": 0.11286, "aux.acc_seg": 71.30242, "loss": 0.31806, "time": 0.51417} -{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.19439, "decode.acc_seg": 73.63247, "aux.loss_seg": 0.10583, "aux.acc_seg": 71.82633, "loss": 0.30022, "time": 0.51625} -{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.19619, "decode.acc_seg": 73.76788, "aux.loss_seg": 0.10585, "aux.acc_seg": 72.12037, "loss": 0.30203, "time": 0.51983} -{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.19995, "decode.acc_seg": 73.44385, "aux.loss_seg": 0.10681, "aux.acc_seg": 71.76876, "loss": 0.30676, "time": 0.51575} -{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19644, "decode.acc_seg": 74.38012, "aux.loss_seg": 0.10782, "aux.acc_seg": 72.51934, "loss": 0.30426, "time": 0.52933} -{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.19354, "decode.acc_seg": 72.14176, "aux.loss_seg": 0.10587, "aux.acc_seg": 70.30505, "loss": 0.29941, "time": 0.52465} -{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.21713, "decode.acc_seg": 74.52682, "aux.loss_seg": 0.1195, "aux.acc_seg": 72.48716, "loss": 0.33664, "time": 0.51399} -{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 22404, "data_time": 0.25045, "decode.loss_seg": 0.19497, "decode.acc_seg": 73.14128, "aux.loss_seg": 0.10743, "aux.acc_seg": 71.21252, "loss": 0.3024, "time": 0.75917} -{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.20137, "decode.acc_seg": 73.40509, "aux.loss_seg": 0.10836, "aux.acc_seg": 71.51008, "loss": 0.30973, "time": 0.51478} -{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.18604, "decode.acc_seg": 74.85162, "aux.loss_seg": 0.1046, "aux.acc_seg": 72.81396, "loss": 0.29064, "time": 0.51033} -{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.18652, "decode.acc_seg": 73.92392, "aux.loss_seg": 0.10185, "aux.acc_seg": 72.20454, "loss": 0.28837, "time": 0.51062} -{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.19606, "decode.acc_seg": 74.99246, "aux.loss_seg": 0.10683, "aux.acc_seg": 73.08143, "loss": 0.30289, "time": 0.51464} -{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.20576, "decode.acc_seg": 74.57511, "aux.loss_seg": 0.11271, "aux.acc_seg": 72.4125, "loss": 0.31847, "time": 0.5108} -{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19414, "decode.acc_seg": 74.32977, "aux.loss_seg": 0.10766, "aux.acc_seg": 72.4463, "loss": 0.3018, "time": 0.51974} -{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.19578, "decode.acc_seg": 74.27182, "aux.loss_seg": 0.10822, "aux.acc_seg": 72.26223, "loss": 0.30401, "time": 0.51645} -{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.21152, "decode.acc_seg": 74.37392, "aux.loss_seg": 0.11603, "aux.acc_seg": 72.4678, "loss": 0.32755, "time": 0.51704} -{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.19359, "decode.acc_seg": 73.56263, "aux.loss_seg": 0.10728, "aux.acc_seg": 71.6447, "loss": 0.30087, "time": 0.52715} -{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.19744, "decode.acc_seg": 72.495, "aux.loss_seg": 0.10702, "aux.acc_seg": 70.76507, "loss": 0.30446, "time": 0.52634} -{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.20249, "decode.acc_seg": 75.22928, "aux.loss_seg": 0.11468, "aux.acc_seg": 73.02051, "loss": 0.31717, "time": 0.52978} -{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17857, "decode.acc_seg": 73.82578, "aux.loss_seg": 0.09954, "aux.acc_seg": 71.95064, "loss": 0.27811, "time": 0.5137} -{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18762, "decode.acc_seg": 74.83158, "aux.loss_seg": 0.10439, "aux.acc_seg": 72.9324, "loss": 0.29201, "time": 0.51079} -{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.20865, "decode.acc_seg": 74.68099, "aux.loss_seg": 0.11432, "aux.acc_seg": 72.65047, "loss": 0.32297, "time": 0.51364} -{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.19777, "decode.acc_seg": 74.04051, "aux.loss_seg": 0.10801, "aux.acc_seg": 72.15773, "loss": 0.30577, "time": 0.51129} -{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 22404, "data_time": 0.00815, "decode.loss_seg": 0.19701, "decode.acc_seg": 73.71994, "aux.loss_seg": 0.10895, "aux.acc_seg": 71.88057, "loss": 0.30596, "time": 0.52116} -{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19656, "decode.acc_seg": 75.14849, "aux.loss_seg": 0.1091, "aux.acc_seg": 73.29281, "loss": 0.30565, "time": 0.53684} -{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 22404, "data_time": 0.00785, "decode.loss_seg": 0.2013, "decode.acc_seg": 75.32428, "aux.loss_seg": 0.1121, "aux.acc_seg": 73.1993, "loss": 0.3134, "time": 0.52581} -{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.20479, "decode.acc_seg": 73.78573, "aux.loss_seg": 0.1125, "aux.acc_seg": 71.87149, "loss": 0.31729, "time": 0.51339} -{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.19012, "decode.acc_seg": 72.85414, "aux.loss_seg": 0.10509, "aux.acc_seg": 71.07097, "loss": 0.29522, "time": 0.52016} -{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.18969, "decode.acc_seg": 75.39247, "aux.loss_seg": 0.10244, "aux.acc_seg": 73.58826, "loss": 0.29213, "time": 0.5327} -{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.19626, "decode.acc_seg": 74.66669, "aux.loss_seg": 0.10819, "aux.acc_seg": 72.73204, "loss": 0.30445, "time": 0.5256} -{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.20068, "decode.acc_seg": 73.86329, "aux.loss_seg": 0.10911, "aux.acc_seg": 72.08649, "loss": 0.30979, "time": 0.51578} -{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19969, "decode.acc_seg": 74.28535, "aux.loss_seg": 0.11107, "aux.acc_seg": 72.24848, "loss": 0.31076, "time": 0.51763} -{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 22404, "data_time": 0.25225, "decode.loss_seg": 0.19302, "decode.acc_seg": 74.59639, "aux.loss_seg": 0.10877, "aux.acc_seg": 72.61711, "loss": 0.30179, "time": 0.76585} -{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.19142, "decode.acc_seg": 73.35373, "aux.loss_seg": 0.10464, "aux.acc_seg": 71.50541, "loss": 0.29606, "time": 0.53333} -{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.19954, "decode.acc_seg": 74.41892, "aux.loss_seg": 0.11087, "aux.acc_seg": 72.27095, "loss": 0.31041, "time": 0.51398} -{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.18838, "decode.acc_seg": 75.17831, "aux.loss_seg": 0.10453, "aux.acc_seg": 73.31198, "loss": 0.2929, "time": 0.5145} -{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.20713, "decode.acc_seg": 74.18316, "aux.loss_seg": 0.11162, "aux.acc_seg": 72.34803, "loss": 0.31875, "time": 0.52501} -{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.19431, "decode.acc_seg": 73.17046, "aux.loss_seg": 0.10991, "aux.acc_seg": 71.10838, "loss": 0.30422, "time": 0.51172} -{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18228, "decode.acc_seg": 75.07506, "aux.loss_seg": 0.1013, "aux.acc_seg": 73.28787, "loss": 0.28358, "time": 0.52246} -{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 22404, "data_time": 0.008, "decode.loss_seg": 0.18698, "decode.acc_seg": 75.3666, "aux.loss_seg": 0.10323, "aux.acc_seg": 73.52234, "loss": 0.29021, "time": 0.51492} -{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.18023, "decode.acc_seg": 73.88855, "aux.loss_seg": 0.09996, "aux.acc_seg": 72.10681, "loss": 0.28019, "time": 0.5153} -{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.19795, "decode.acc_seg": 75.42539, "aux.loss_seg": 0.10941, "aux.acc_seg": 73.49545, "loss": 0.30736, "time": 0.51523} -{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.20317, "decode.acc_seg": 74.88971, "aux.loss_seg": 0.11293, "aux.acc_seg": 72.89327, "loss": 0.3161, "time": 0.51712} -{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.19303, "decode.acc_seg": 74.31872, "aux.loss_seg": 0.10803, "aux.acc_seg": 72.42691, "loss": 0.30106, "time": 0.52486} -{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.19316, "decode.acc_seg": 74.41354, "aux.loss_seg": 0.1059, "aux.acc_seg": 72.60187, "loss": 0.29906, "time": 0.5183} -{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.1882, "decode.acc_seg": 74.35475, "aux.loss_seg": 0.1053, "aux.acc_seg": 72.2882, "loss": 0.29349, "time": 0.52276} -{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.19026, "decode.acc_seg": 72.83224, "aux.loss_seg": 0.10508, "aux.acc_seg": 70.93828, "loss": 0.29534, "time": 0.51447} -{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.19408, "decode.acc_seg": 74.25659, "aux.loss_seg": 0.11038, "aux.acc_seg": 72.00177, "loss": 0.30446, "time": 0.5078} -{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.20371, "decode.acc_seg": 73.95717, "aux.loss_seg": 0.11032, "aux.acc_seg": 72.14762, "loss": 0.31403, "time": 0.51449} -{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.1906, "decode.acc_seg": 75.02294, "aux.loss_seg": 0.10523, "aux.acc_seg": 73.27176, "loss": 0.29583, "time": 0.51331} -{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18996, "decode.acc_seg": 74.41555, "aux.loss_seg": 0.10317, "aux.acc_seg": 72.67072, "loss": 0.29313, "time": 0.51161} -{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19907, "decode.acc_seg": 74.97248, "aux.loss_seg": 0.1125, "aux.acc_seg": 72.83019, "loss": 0.31157, "time": 0.51193} -{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.19808, "decode.acc_seg": 74.32615, "aux.loss_seg": 0.11072, "aux.acc_seg": 72.268, "loss": 0.3088, "time": 0.52877} -{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.19686, "decode.acc_seg": 75.4187, "aux.loss_seg": 0.10677, "aux.acc_seg": 73.70229, "loss": 0.30363, "time": 0.53493} -{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.19608, "decode.acc_seg": 75.37944, "aux.loss_seg": 0.10778, "aux.acc_seg": 73.56837, "loss": 0.30386, "time": 0.51183} -{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18979, "decode.acc_seg": 73.36897, "aux.loss_seg": 0.10457, "aux.acc_seg": 71.48521, "loss": 0.29436, "time": 0.51442} -{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19478, "decode.acc_seg": 75.61498, "aux.loss_seg": 0.10729, "aux.acc_seg": 73.60999, "loss": 0.30207, "time": 0.52296} -{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.20046, "decode.acc_seg": 74.32865, "aux.loss_seg": 0.1096, "aux.acc_seg": 72.42153, "loss": 0.31007, "time": 0.51073} -{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 22404, "data_time": 0.24786, "decode.loss_seg": 0.19255, "decode.acc_seg": 75.28122, "aux.loss_seg": 0.10644, "aux.acc_seg": 73.43879, "loss": 0.29899, "time": 0.76198} -{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19228, "decode.acc_seg": 75.58798, "aux.loss_seg": 0.10542, "aux.acc_seg": 73.79966, "loss": 0.29769, "time": 0.52484} -{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.18953, "decode.acc_seg": 74.48865, "aux.loss_seg": 0.10536, "aux.acc_seg": 72.56154, "loss": 0.29489, "time": 0.51642} -{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.19323, "decode.acc_seg": 74.95083, "aux.loss_seg": 0.10936, "aux.acc_seg": 72.90602, "loss": 0.30258, "time": 0.51408} -{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.18718, "decode.acc_seg": 73.86088, "aux.loss_seg": 0.10586, "aux.acc_seg": 71.7866, "loss": 0.29304, "time": 0.51008} -{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.18878, "decode.acc_seg": 73.56761, "aux.loss_seg": 0.10623, "aux.acc_seg": 71.48783, "loss": 0.29501, "time": 0.52234} -{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.10377, "aux.loss_seg": 0.1032, "aux.acc_seg": 72.30037, "loss": 0.28979, "time": 0.51437} -{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.1975, "decode.acc_seg": 74.57265, "aux.loss_seg": 0.10923, "aux.acc_seg": 72.61316, "loss": 0.30674, "time": 0.51943} -{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.19813, "decode.acc_seg": 74.95203, "aux.loss_seg": 0.1088, "aux.acc_seg": 73.02949, "loss": 0.30693, "time": 0.52533} -{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18125, "decode.acc_seg": 74.15479, "aux.loss_seg": 0.09846, "aux.acc_seg": 72.37174, "loss": 0.27971, "time": 0.5312} -{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.18771, "decode.acc_seg": 74.04181, "aux.loss_seg": 0.10526, "aux.acc_seg": 72.09277, "loss": 0.29296, "time": 0.52434} -{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.18616, "decode.acc_seg": 75.33205, "aux.loss_seg": 0.10266, "aux.acc_seg": 73.50707, "loss": 0.28882, "time": 0.53265} -{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17582, "decode.acc_seg": 75.70111, "aux.loss_seg": 0.09653, "aux.acc_seg": 73.98329, "loss": 0.27234, "time": 0.51483} -{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.18524, "decode.acc_seg": 73.98948, "aux.loss_seg": 0.10311, "aux.acc_seg": 72.18354, "loss": 0.28835, "time": 0.51564} -{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.19194, "decode.acc_seg": 75.44534, "aux.loss_seg": 0.10538, "aux.acc_seg": 73.7823, "loss": 0.29732, "time": 0.50965} -{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19371, "decode.acc_seg": 73.9749, "aux.loss_seg": 0.10664, "aux.acc_seg": 72.05001, "loss": 0.30035, "time": 0.52319} -{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19747, "decode.acc_seg": 75.52596, "aux.loss_seg": 0.10911, "aux.acc_seg": 73.56454, "loss": 0.30657, "time": 0.51469} -{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.18982, "decode.acc_seg": 74.25198, "aux.loss_seg": 0.10347, "aux.acc_seg": 72.43701, "loss": 0.29329, "time": 0.52177} -{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.19125, "decode.acc_seg": 74.64408, "aux.loss_seg": 0.108, "aux.acc_seg": 72.68174, "loss": 0.29924, "time": 0.53438} -{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.2004, "decode.acc_seg": 74.1464, "aux.loss_seg": 0.11042, "aux.acc_seg": 72.21489, "loss": 0.31082, "time": 0.51603} -{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19118, "decode.acc_seg": 72.32943, "aux.loss_seg": 0.10422, "aux.acc_seg": 70.47274, "loss": 0.2954, "time": 0.51488} -{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.20429, "decode.acc_seg": 73.32238, "aux.loss_seg": 0.11222, "aux.acc_seg": 71.36187, "loss": 0.31651, "time": 0.51736} -{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.19827, "decode.acc_seg": 74.87092, "aux.loss_seg": 0.11003, "aux.acc_seg": 72.94662, "loss": 0.30831, "time": 0.52403} -{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18747, "decode.acc_seg": 73.44267, "aux.loss_seg": 0.10387, "aux.acc_seg": 71.62997, "loss": 0.29134, "time": 0.51206} -{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19284, "decode.acc_seg": 75.00243, "aux.loss_seg": 0.10602, "aux.acc_seg": 73.22963, "loss": 0.29886, "time": 0.51929} -{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 22404, "data_time": 0.2491, "decode.loss_seg": 0.19533, "decode.acc_seg": 74.07656, "aux.loss_seg": 0.10693, "aux.acc_seg": 72.25389, "loss": 0.30226, "time": 0.76386} -{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.20167, "decode.acc_seg": 73.97738, "aux.loss_seg": 0.11041, "aux.acc_seg": 72.17262, "loss": 0.31208, "time": 0.51843} -{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.19423, "decode.acc_seg": 74.39854, "aux.loss_seg": 0.10699, "aux.acc_seg": 72.45353, "loss": 0.30121, "time": 0.5175} -{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18097, "decode.acc_seg": 74.90548, "aux.loss_seg": 0.10105, "aux.acc_seg": 73.11275, "loss": 0.28202, "time": 0.53429} -{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.20271, "decode.acc_seg": 75.31438, "aux.loss_seg": 0.11146, "aux.acc_seg": 73.35957, "loss": 0.31416, "time": 0.5168} -{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.19275, "decode.acc_seg": 74.10235, "aux.loss_seg": 0.10464, "aux.acc_seg": 72.17706, "loss": 0.29739, "time": 0.5355} -{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.19362, "decode.acc_seg": 73.73572, "aux.loss_seg": 0.10593, "aux.acc_seg": 71.90128, "loss": 0.29955, "time": 0.52334} -{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.19478, "decode.acc_seg": 74.37225, "aux.loss_seg": 0.10877, "aux.acc_seg": 72.37101, "loss": 0.30355, "time": 0.51815} -{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.19039, "decode.acc_seg": 73.00663, "aux.loss_seg": 0.10538, "aux.acc_seg": 71.20759, "loss": 0.29577, "time": 0.53933} -{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.19412, "decode.acc_seg": 75.91569, "aux.loss_seg": 0.10742, "aux.acc_seg": 74.01111, "loss": 0.30153, "time": 0.52888} -{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.19419, "decode.acc_seg": 75.96698, "aux.loss_seg": 0.11039, "aux.acc_seg": 73.86033, "loss": 0.30458, "time": 0.51456} -{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.19483, "decode.acc_seg": 73.93836, "aux.loss_seg": 0.10732, "aux.acc_seg": 72.1051, "loss": 0.30216, "time": 0.51302} -{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19842, "decode.acc_seg": 75.62077, "aux.loss_seg": 0.10737, "aux.acc_seg": 73.85638, "loss": 0.30578, "time": 0.50779} -{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.19449, "decode.acc_seg": 75.06924, "aux.loss_seg": 0.10577, "aux.acc_seg": 73.28499, "loss": 0.30026, "time": 0.51282} -{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18994, "decode.acc_seg": 75.03252, "aux.loss_seg": 0.10294, "aux.acc_seg": 73.35448, "loss": 0.29288, "time": 0.51173} -{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.19215, "decode.acc_seg": 74.75521, "aux.loss_seg": 0.10506, "aux.acc_seg": 72.91594, "loss": 0.29721, "time": 0.51956} -{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.19078, "decode.acc_seg": 74.79025, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.81298, "loss": 0.29667, "time": 0.51866} -{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.17924, "decode.acc_seg": 74.59778, "aux.loss_seg": 0.10081, "aux.acc_seg": 72.77546, "loss": 0.28005, "time": 0.51742} -{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.18434, "decode.acc_seg": 75.31378, "aux.loss_seg": 0.10202, "aux.acc_seg": 73.49175, "loss": 0.28636, "time": 0.52133} -{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.19171, "decode.acc_seg": 75.26212, "aux.loss_seg": 0.10781, "aux.acc_seg": 73.30767, "loss": 0.29952, "time": 0.52981} -{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.18835, "decode.acc_seg": 73.86226, "aux.loss_seg": 0.10476, "aux.acc_seg": 71.92858, "loss": 0.29311, "time": 0.51378} -{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.18685, "decode.acc_seg": 74.04524, "aux.loss_seg": 0.10365, "aux.acc_seg": 72.17401, "loss": 0.2905, "time": 0.52679} -{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.19552, "decode.acc_seg": 73.8731, "aux.loss_seg": 0.10946, "aux.acc_seg": 71.80234, "loss": 0.30498, "time": 0.5213} -{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.19061, "decode.acc_seg": 74.82702, "aux.loss_seg": 0.10588, "aux.acc_seg": 72.97863, "loss": 0.29649, "time": 0.51499} -{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.19144, "decode.acc_seg": 74.66847, "aux.loss_seg": 0.10758, "aux.acc_seg": 72.71238, "loss": 0.29902, "time": 0.5124} -{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 22404, "data_time": 0.24811, "decode.loss_seg": 0.18667, "decode.acc_seg": 75.45793, "aux.loss_seg": 0.10401, "aux.acc_seg": 73.56889, "loss": 0.29068, "time": 0.75522} -{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18456, "decode.acc_seg": 73.28782, "aux.loss_seg": 0.10326, "aux.acc_seg": 71.38056, "loss": 0.28783, "time": 0.53334} -{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.19601, "decode.acc_seg": 75.12454, "aux.loss_seg": 0.10554, "aux.acc_seg": 73.39984, "loss": 0.30155, "time": 0.53151} -{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.18911, "decode.acc_seg": 74.79565, "aux.loss_seg": 0.10598, "aux.acc_seg": 72.75816, "loss": 0.29508, "time": 0.54381} -{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.18152, "decode.acc_seg": 74.20022, "aux.loss_seg": 0.10243, "aux.acc_seg": 72.15235, "loss": 0.28395, "time": 0.51745} -{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.19222, "decode.acc_seg": 74.19169, "aux.loss_seg": 0.10606, "aux.acc_seg": 72.3405, "loss": 0.29828, "time": 0.52078} -{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.19681, "decode.acc_seg": 73.40484, "aux.loss_seg": 0.11049, "aux.acc_seg": 71.33531, "loss": 0.3073, "time": 0.52115} -{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.18674, "decode.acc_seg": 75.10184, "aux.loss_seg": 0.10132, "aux.acc_seg": 73.47487, "loss": 0.28806, "time": 0.51348} -{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.19789, "decode.acc_seg": 75.63515, "aux.loss_seg": 0.10968, "aux.acc_seg": 73.61615, "loss": 0.30757, "time": 0.53839} -{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.18687, "decode.acc_seg": 73.55411, "aux.loss_seg": 0.10473, "aux.acc_seg": 71.58966, "loss": 0.2916, "time": 0.51404} -{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17488, "decode.acc_seg": 74.79518, "aux.loss_seg": 0.09846, "aux.acc_seg": 73.02991, "loss": 0.27333, "time": 0.51271} -{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.18387, "decode.acc_seg": 73.62511, "aux.loss_seg": 0.10342, "aux.acc_seg": 71.69991, "loss": 0.28729, "time": 0.52655} -{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.18978, "decode.acc_seg": 74.26464, "aux.loss_seg": 0.10546, "aux.acc_seg": 72.38337, "loss": 0.29524, "time": 0.53488} -{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.18874, "decode.acc_seg": 75.38618, "aux.loss_seg": 0.10252, "aux.acc_seg": 73.67667, "loss": 0.29126, "time": 0.51157} -{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.18686, "decode.acc_seg": 74.16321, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.4446, "loss": 0.28932, "time": 0.5055} -{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.19195, "decode.acc_seg": 74.22169, "aux.loss_seg": 0.10888, "aux.acc_seg": 72.25544, "loss": 0.30083, "time": 0.50934} -{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18841, "decode.acc_seg": 74.21104, "aux.loss_seg": 0.1056, "aux.acc_seg": 72.32642, "loss": 0.29401, "time": 0.51226} -{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 22404, "data_time": 0.00796, "decode.loss_seg": 0.18622, "decode.acc_seg": 75.11869, "aux.loss_seg": 0.1032, "aux.acc_seg": 73.17874, "loss": 0.28941, "time": 0.51735} -{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.18863, "decode.acc_seg": 74.61043, "aux.loss_seg": 0.10522, "aux.acc_seg": 72.66326, "loss": 0.29385, "time": 0.51064} -{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.20036, "decode.acc_seg": 74.50702, "aux.loss_seg": 0.11037, "aux.acc_seg": 72.60051, "loss": 0.31073, "time": 0.51272} -{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19086, "decode.acc_seg": 75.03934, "aux.loss_seg": 0.1044, "aux.acc_seg": 73.26525, "loss": 0.29526, "time": 0.51101} -{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.18181, "decode.acc_seg": 74.64635, "aux.loss_seg": 0.10054, "aux.acc_seg": 72.89924, "loss": 0.28235, "time": 0.52773} -{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.20512, "decode.acc_seg": 73.9233, "aux.loss_seg": 0.11576, "aux.acc_seg": 71.84452, "loss": 0.32088, "time": 0.54852} -{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.19137, "decode.acc_seg": 73.90334, "aux.loss_seg": 0.10537, "aux.acc_seg": 72.04643, "loss": 0.29674, "time": 0.51292} -{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.18738, "decode.acc_seg": 75.15147, "aux.loss_seg": 0.10394, "aux.acc_seg": 73.26928, "loss": 0.29132, "time": 0.5369} -{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 22404, "data_time": 0.24521, "decode.loss_seg": 0.19441, "decode.acc_seg": 77.10357, "aux.loss_seg": 0.10649, "aux.acc_seg": 75.27043, "loss": 0.3009, "time": 0.74787} -{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18595, "decode.acc_seg": 74.69747, "aux.loss_seg": 0.10513, "aux.acc_seg": 72.74435, "loss": 0.29108, "time": 0.50484} -{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.18819, "decode.acc_seg": 77.24683, "aux.loss_seg": 0.10648, "aux.acc_seg": 75.13175, "loss": 0.29468, "time": 0.50904} -{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.1952, "decode.acc_seg": 75.72554, "aux.loss_seg": 0.10771, "aux.acc_seg": 73.74068, "loss": 0.30291, "time": 0.51336} -{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.17565, "decode.acc_seg": 74.3945, "aux.loss_seg": 0.09806, "aux.acc_seg": 72.53391, "loss": 0.27371, "time": 0.53388} -{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.18061, "decode.acc_seg": 74.80539, "aux.loss_seg": 0.10116, "aux.acc_seg": 73.02999, "loss": 0.28177, "time": 0.53918} -{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.19586, "decode.acc_seg": 75.44926, "aux.loss_seg": 0.10847, "aux.acc_seg": 73.46863, "loss": 0.30433, "time": 0.51631} -{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.18561, "decode.acc_seg": 73.85163, "aux.loss_seg": 0.10194, "aux.acc_seg": 72.04682, "loss": 0.28755, "time": 0.51015} -{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.18146, "decode.acc_seg": 73.60005, "aux.loss_seg": 0.10141, "aux.acc_seg": 71.6417, "loss": 0.28287, "time": 0.52029} -{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.19162, "decode.acc_seg": 75.40847, "aux.loss_seg": 0.10765, "aux.acc_seg": 73.50411, "loss": 0.29927, "time": 0.5091} -{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.18938, "decode.acc_seg": 74.50846, "aux.loss_seg": 0.10514, "aux.acc_seg": 72.56044, "loss": 0.29452, "time": 0.51147} -{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18914, "decode.acc_seg": 73.09678, "aux.loss_seg": 0.10355, "aux.acc_seg": 71.24765, "loss": 0.29269, "time": 0.51558} -{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.18439, "decode.acc_seg": 74.50311, "aux.loss_seg": 0.10469, "aux.acc_seg": 72.45916, "loss": 0.28908, "time": 0.51101} -{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.18844, "decode.acc_seg": 73.83433, "aux.loss_seg": 0.10389, "aux.acc_seg": 71.9941, "loss": 0.29234, "time": 0.50582} -{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.19352, "decode.acc_seg": 73.89691, "aux.loss_seg": 0.10988, "aux.acc_seg": 71.76626, "loss": 0.30341, "time": 0.52783} -{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.19111, "decode.acc_seg": 73.9193, "aux.loss_seg": 0.10538, "aux.acc_seg": 71.98633, "loss": 0.29649, "time": 0.51326} -{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.19252, "decode.acc_seg": 73.32284, "aux.loss_seg": 0.10731, "aux.acc_seg": 71.42767, "loss": 0.29983, "time": 0.52565} -{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4634, "mAcc": 0.5828, "aAcc": 0.8198, "IoU.wall": 0.7588, "IoU.building": 0.8094, "IoU.sky": 0.9368, "IoU.floor": 0.8029, "IoU.tree": 0.7326, "IoU.ceiling": 0.8405, "IoU.road": 0.8386, "IoU.bed ": 0.8821, "IoU.windowpane": 0.6, "IoU.grass": 0.6417, "IoU.cabinet": 0.6024, "IoU.sidewalk": 0.6619, "IoU.person": 0.7756, "IoU.earth": 0.3644, "IoU.door": 0.4536, "IoU.table": 0.5513, "IoU.mountain": 0.5895, "IoU.plant": 0.5075, "IoU.curtain": 0.7096, "IoU.chair": 0.5382, "IoU.car": 0.8294, "IoU.water": 0.4855, "IoU.painting": 0.7057, "IoU.sofa": 0.6043, "IoU.shelf": 0.4487, "IoU.house": 0.4674, "IoU.sea": 0.5034, "IoU.mirror": 0.6358, "IoU.rug": 0.5269, "IoU.field": 0.2654, "IoU.armchair": 0.3462, "IoU.seat": 0.6269, "IoU.fence": 0.4711, "IoU.desk": 0.461, "IoU.rock": 0.4223, "IoU.wardrobe": 0.4898, "IoU.lamp": 0.5854, "IoU.bathtub": 0.738, "IoU.railing": 0.3313, "IoU.cushion": 0.5211, "IoU.base": 0.3275, "IoU.box": 0.2599, "IoU.column": 0.4307, "IoU.signboard": 0.3756, "IoU.chest of drawers": 0.4008, "IoU.counter": 0.2433, "IoU.sand": 0.521, "IoU.sink": 0.6722, "IoU.skyscraper": 0.609, "IoU.fireplace": NaN, "IoU.refrigerator": 0.722, "IoU.grandstand": 0.4064, "IoU.path": 0.2108, "IoU.stairs": 0.3207, "IoU.runway": 0.6852, "IoU.case": 0.5223, "IoU.pool table": 0.9136, "IoU.pillow": 0.5382, "IoU.screen door": 0.666, "IoU.stairway": 0.2825, "IoU.river": 0.1262, "IoU.bridge": 0.6241, "IoU.bookcase": 0.4334, "IoU.blind": NaN, "IoU.coffee table": 0.477, "IoU.toilet": 0.8248, "IoU.flower": 0.4205, "IoU.book": 0.4473, "IoU.hill": 0.0553, "IoU.bench": 0.4738, "IoU.countertop": 0.5245, "IoU.stove": 0.7129, "IoU.palm": 0.4619, "IoU.kitchen island": 0.354, "IoU.computer": 0.6994, "IoU.swivel chair": 0.4336, "IoU.boat": 0.4013, "IoU.bar": 0.254, "IoU.arcade machine": 0.4521, "IoU.hovel": 0.4047, "IoU.bus": 0.8287, "IoU.towel": 0.592, "IoU.light": 0.5249, "IoU.truck": 0.3429, "IoU.tower": 0.0783, "IoU.chandelier": 0.6443, "IoU.awning": 0.2644, "IoU.streetlight": 0.2094, "IoU.booth": 0.5746, "IoU.television receiver": NaN, "IoU.airplane": 0.6183, "IoU.dirt track": 0.0981, "IoU.apparel": 0.3066, "IoU.pole": 0.1754, "IoU.land": 0.0417, "IoU.bannister": 0.0859, "IoU.escalator": 0.3012, "IoU.ottoman": 0.3767, "IoU.bottle": NaN, "IoU.buffet": 0.4001, "IoU.poster": 0.2817, "IoU.stage": 0.1438, "IoU.van": 0.39, "IoU.ship": 0.5949, "IoU.fountain": 0.206, "IoU.conveyer belt": 0.6369, "IoU.canopy": 0.1131, "IoU.washer": 0.7992, "IoU.plaything": 0.191, "IoU.swimming pool": 0.5633, "IoU.stool": 0.3967, "IoU.barrel": 0.6201, "IoU.basket": 0.2839, "IoU.waterfall": 0.3934, "IoU.tent": 0.9299, "IoU.bag": 0.1139, "IoU.minibike": 0.7253, "IoU.cradle": NaN, "IoU.oven": 0.4094, "IoU.ball": 0.3725, "IoU.food": 0.3389, "IoU.step": 0.1022, "IoU.tank": 0.5021, "IoU.trade name": 0.2751, "IoU.microwave": 0.6485, "IoU.pot": 0.5096, "IoU.animal": NaN, "IoU.bicycle": 0.5382, "IoU.lake": 0.3688, "IoU.dishwasher": 0.5141, "IoU.screen": 0.6231, "IoU.blanket": 0.1237, "IoU.sculpture": 0.56, "IoU.hood": 0.573, "IoU.sconce": 0.4409, "IoU.vase": 0.3512, "IoU.traffic light": 0.2987, "IoU.tray": 0.0847, "IoU.ashcan": 0.3647, "IoU.fan": 0.5446, "IoU.pier": 0.3256, "IoU.crt screen": 0.0423, "IoU.plate": 0.5141, "IoU.monitor": 0.0153, "IoU.bulletin board": 0.3282, "IoU.shower": 0.0214, "IoU.radiator": 0.587, "IoU.glass": 0.1262, "IoU.clock": 0.315, "IoU.flag": 0.3069, "Acc.wall": 0.8734, "Acc.building": 0.9113, "Acc.sky": 0.9742, "Acc.floor": 0.9006, "Acc.tree": 0.8597, "Acc.ceiling": 0.9291, "Acc.road": 0.9105, "Acc.bed ": 0.9466, "Acc.windowpane": 0.7536, "Acc.grass": 0.7966, "Acc.cabinet": 0.7326, "Acc.sidewalk": 0.819, "Acc.person": 0.9134, "Acc.earth": 0.4878, "Acc.door": 0.5731, "Acc.table": 0.7281, "Acc.mountain": 0.753, "Acc.plant": 0.6281, "Acc.curtain": 0.8604, "Acc.chair": 0.6905, "Acc.car": 0.9139, "Acc.water": 0.6317, "Acc.painting": 0.8541, "Acc.sofa": 0.8017, "Acc.shelf": 0.5942, "Acc.house": 0.647, "Acc.sea": 0.6941, "Acc.mirror": 0.7601, "Acc.rug": 0.6217, "Acc.field": 0.4859, "Acc.armchair": 0.4958, "Acc.seat": 0.8146, "Acc.fence": 0.6375, "Acc.desk": 0.6727, "Acc.rock": 0.6749, "Acc.wardrobe": 0.6605, "Acc.lamp": 0.7025, "Acc.bathtub": 0.7944, "Acc.railing": 0.439, "Acc.cushion": 0.6765, "Acc.base": 0.4936, "Acc.box": 0.3172, "Acc.column": 0.5848, "Acc.signboard": 0.5292, "Acc.chest of drawers": 0.5914, "Acc.counter": 0.3257, "Acc.sand": 0.7018, "Acc.sink": 0.7555, "Acc.skyscraper": 0.761, "Acc.fireplace": NaN, "Acc.refrigerator": 0.841, "Acc.grandstand": 0.58, "Acc.path": 0.3015, "Acc.stairs": 0.3959, "Acc.runway": 0.8873, "Acc.case": 0.7203, "Acc.pool table": 0.9631, "Acc.pillow": 0.6538, "Acc.screen door": 0.7359, "Acc.stairway": 0.3191, "Acc.river": 0.3168, "Acc.bridge": 0.8145, "Acc.bookcase": 0.5134, "Acc.blind": NaN, "Acc.coffee table": 0.7516, "Acc.toilet": 0.8805, "Acc.flower": 0.5863, "Acc.book": 0.6664, "Acc.hill": 0.0853, "Acc.bench": 0.5652, "Acc.countertop": 0.7093, "Acc.stove": 0.819, "Acc.palm": 0.7209, "Acc.kitchen island": 0.7691, "Acc.computer": 0.8594, "Acc.swivel chair": 0.6372, "Acc.boat": 0.4718, "Acc.bar": 0.3402, "Acc.arcade machine": 0.4831, "Acc.hovel": 0.4451, "Acc.bus": 0.9542, "Acc.towel": 0.714, "Acc.light": 0.6104, "Acc.truck": 0.4829, "Acc.tower": 0.1267, "Acc.chandelier": 0.8, "Acc.awning": 0.3095, "Acc.streetlight": 0.2757, "Acc.booth": 0.6836, "Acc.television receiver": NaN, "Acc.airplane": 0.6994, "Acc.dirt track": 0.1177, "Acc.apparel": 0.3899, "Acc.pole": 0.2468, "Acc.land": 0.0658, "Acc.bannister": 0.1106, "Acc.escalator": 0.3695, "Acc.ottoman": 0.5324, "Acc.bottle": NaN, "Acc.buffet": 0.4406, "Acc.poster": 0.468, "Acc.stage": 0.2045, "Acc.van": 0.5116, "Acc.ship": 0.9536, "Acc.fountain": 0.209, "Acc.conveyer belt": 0.8582, "Acc.canopy": 0.1473, "Acc.washer": 0.836, "Acc.plaything": 0.2788, "Acc.swimming pool": 0.7519, "Acc.stool": 0.5349, "Acc.barrel": 0.6464, "Acc.basket": 0.3403, "Acc.waterfall": 0.5605, "Acc.tent": 0.9844, "Acc.bag": 0.133, "Acc.minibike": 0.8781, "Acc.cradle": NaN, "Acc.oven": 0.5817, "Acc.ball": 0.4415, "Acc.food": 0.402, "Acc.step": 0.1124, "Acc.tank": 0.5798, "Acc.trade name": 0.3158, "Acc.microwave": 0.737, "Acc.pot": 0.5718, "Acc.animal": NaN, "Acc.bicycle": 0.7577, "Acc.lake": 0.6282, "Acc.dishwasher": 0.6958, "Acc.screen": 0.8791, "Acc.blanket": 0.1388, "Acc.sculpture": 0.6798, "Acc.hood": 0.6245, "Acc.sconce": 0.5737, "Acc.vase": 0.4743, "Acc.traffic light": 0.4201, "Acc.tray": 0.148, "Acc.ashcan": 0.4932, "Acc.fan": 0.6654, "Acc.pier": 0.483, "Acc.crt screen": 0.1168, "Acc.plate": 0.6508, "Acc.monitor": 0.0158, "Acc.bulletin board": 0.4507, "Acc.shower": 0.0675, "Acc.radiator": 0.6391, "Acc.glass": 0.1374, "Acc.clock": 0.3544, "Acc.flag": 0.3463} -{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 22404, "data_time": 1.56222, "decode.loss_seg": 0.18751, "decode.acc_seg": 74.81302, "aux.loss_seg": 0.1014, "aux.acc_seg": 73.19491, "loss": 0.28891, "time": 2.08063} -{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.19187, "decode.acc_seg": 74.15243, "aux.loss_seg": 0.10697, "aux.acc_seg": 72.31386, "loss": 0.29883, "time": 0.51417} -{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.17921, "decode.acc_seg": 74.77104, "aux.loss_seg": 0.09957, "aux.acc_seg": 72.99768, "loss": 0.27879, "time": 0.53667} -{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.19203, "decode.acc_seg": 75.29948, "aux.loss_seg": 0.10728, "aux.acc_seg": 73.37415, "loss": 0.29932, "time": 0.51416} -{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.18812, "decode.acc_seg": 73.78498, "aux.loss_seg": 0.10494, "aux.acc_seg": 71.88741, "loss": 0.29306, "time": 0.5312} -{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.19977, "decode.acc_seg": 73.99871, "aux.loss_seg": 0.10977, "aux.acc_seg": 72.1132, "loss": 0.30954, "time": 0.54702} -{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.18249, "decode.acc_seg": 74.39501, "aux.loss_seg": 0.10193, "aux.acc_seg": 72.5569, "loss": 0.28442, "time": 0.52854} -{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 22404, "data_time": 0.00626, "decode.loss_seg": 0.18906, "decode.acc_seg": 74.42333, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.54614, "loss": 0.29316, "time": 0.50917} -{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 22404, "data_time": 0.24772, "decode.loss_seg": 0.17669, "decode.acc_seg": 75.68108, "aux.loss_seg": 0.10135, "aux.acc_seg": 73.72497, "loss": 0.27804, "time": 0.78217} -{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.18491, "decode.acc_seg": 75.31635, "aux.loss_seg": 0.10397, "aux.acc_seg": 73.3591, "loss": 0.28888, "time": 0.52784} -{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.18341, "decode.acc_seg": 75.18298, "aux.loss_seg": 0.10188, "aux.acc_seg": 73.29589, "loss": 0.28529, "time": 0.51205} -{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.19727, "decode.acc_seg": 74.27603, "aux.loss_seg": 0.10886, "aux.acc_seg": 72.2245, "loss": 0.30612, "time": 0.53204} -{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 22404, "data_time": 0.00639, "decode.loss_seg": 0.18723, "decode.acc_seg": 74.66363, "aux.loss_seg": 0.10249, "aux.acc_seg": 72.7424, "loss": 0.28971, "time": 0.5098} -{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.18607, "decode.acc_seg": 75.52519, "aux.loss_seg": 0.10417, "aux.acc_seg": 73.5738, "loss": 0.29024, "time": 0.51573} -{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.18676, "decode.acc_seg": 75.22906, "aux.loss_seg": 0.10293, "aux.acc_seg": 73.47518, "loss": 0.28969, "time": 0.51198} -{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 22404, "data_time": 0.0066, "decode.loss_seg": 0.19375, "decode.acc_seg": 74.39981, "aux.loss_seg": 0.10402, "aux.acc_seg": 72.67559, "loss": 0.29777, "time": 0.53485} -{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18838, "decode.acc_seg": 76.02299, "aux.loss_seg": 0.10443, "aux.acc_seg": 74.14181, "loss": 0.29281, "time": 0.54076} -{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.18134, "decode.acc_seg": 73.4861, "aux.loss_seg": 0.10038, "aux.acc_seg": 71.69739, "loss": 0.28172, "time": 0.52397} -{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.18123, "decode.acc_seg": 74.06906, "aux.loss_seg": 0.10237, "aux.acc_seg": 72.02638, "loss": 0.28361, "time": 0.52161} -{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.3628, "aux.loss_seg": 0.10434, "aux.acc_seg": 72.43343, "loss": 0.29094, "time": 0.54096} -{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18512, "decode.acc_seg": 74.97184, "aux.loss_seg": 0.10187, "aux.acc_seg": 73.20878, "loss": 0.28699, "time": 0.51731} -{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 22404, "data_time": 0.00626, "decode.loss_seg": 0.18393, "decode.acc_seg": 74.38359, "aux.loss_seg": 0.1025, "aux.acc_seg": 72.49593, "loss": 0.28643, "time": 0.53203} -{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18946, "decode.acc_seg": 73.2531, "aux.loss_seg": 0.10534, "aux.acc_seg": 71.30543, "loss": 0.2948, "time": 0.53498} -{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.1918, "decode.acc_seg": 73.64275, "aux.loss_seg": 0.10573, "aux.acc_seg": 71.71807, "loss": 0.29753, "time": 0.54456} -{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.19324, "decode.acc_seg": 74.1354, "aux.loss_seg": 0.10809, "aux.acc_seg": 72.18993, "loss": 0.30133, "time": 0.52681} -{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.19947, "decode.acc_seg": 74.80407, "aux.loss_seg": 0.11119, "aux.acc_seg": 72.65297, "loss": 0.31066, "time": 0.53266} -{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.19155, "decode.acc_seg": 73.93006, "aux.loss_seg": 0.10499, "aux.acc_seg": 72.15043, "loss": 0.29654, "time": 0.5253} -{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.18806, "decode.acc_seg": 75.09785, "aux.loss_seg": 0.1059, "aux.acc_seg": 73.03923, "loss": 0.29397, "time": 0.52697} -{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.17689, "decode.acc_seg": 73.70646, "aux.loss_seg": 0.09973, "aux.acc_seg": 71.79601, "loss": 0.27662, "time": 0.51353} -{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18967, "decode.acc_seg": 74.03726, "aux.loss_seg": 0.10428, "aux.acc_seg": 72.1538, "loss": 0.29395, "time": 0.53379} -{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.18727, "decode.acc_seg": 74.79197, "aux.loss_seg": 0.10585, "aux.acc_seg": 72.77134, "loss": 0.29311, "time": 0.52917} -{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.19272, "decode.acc_seg": 74.60988, "aux.loss_seg": 0.10861, "aux.acc_seg": 72.57707, "loss": 0.30133, "time": 0.53613} -{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18855, "decode.acc_seg": 74.57697, "aux.loss_seg": 0.10317, "aux.acc_seg": 72.90825, "loss": 0.29173, "time": 0.5147} -{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 22404, "data_time": 0.23968, "decode.loss_seg": 0.17902, "decode.acc_seg": 74.92475, "aux.loss_seg": 0.10097, "aux.acc_seg": 73.00185, "loss": 0.27999, "time": 0.75447} -{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.18513, "decode.acc_seg": 73.50505, "aux.loss_seg": 0.10509, "aux.acc_seg": 71.56216, "loss": 0.29022, "time": 0.52061} -{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.18946, "decode.acc_seg": 73.26154, "aux.loss_seg": 0.10463, "aux.acc_seg": 71.40711, "loss": 0.29409, "time": 0.5329} -{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.18703, "decode.acc_seg": 75.03388, "aux.loss_seg": 0.10379, "aux.acc_seg": 73.22879, "loss": 0.29082, "time": 0.54547} -{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.18384, "decode.acc_seg": 73.41891, "aux.loss_seg": 0.10244, "aux.acc_seg": 71.51145, "loss": 0.28627, "time": 0.52932} -{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.18715, "decode.acc_seg": 74.92245, "aux.loss_seg": 0.10345, "aux.acc_seg": 73.07227, "loss": 0.2906, "time": 0.51985} -{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.18583, "decode.acc_seg": 73.83694, "aux.loss_seg": 0.10511, "aux.acc_seg": 71.77045, "loss": 0.29093, "time": 0.51214} -{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18537, "decode.acc_seg": 75.62362, "aux.loss_seg": 0.10312, "aux.acc_seg": 73.80872, "loss": 0.2885, "time": 0.51198} -{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.18398, "decode.acc_seg": 74.65485, "aux.loss_seg": 0.10279, "aux.acc_seg": 72.7141, "loss": 0.28677, "time": 0.53629} -{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.17911, "decode.acc_seg": 74.27861, "aux.loss_seg": 0.10107, "aux.acc_seg": 72.29278, "loss": 0.28018, "time": 0.53937} -{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.18638, "decode.acc_seg": 74.65858, "aux.loss_seg": 0.10331, "aux.acc_seg": 72.86649, "loss": 0.28969, "time": 0.51321} -{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 22404, "data_time": 0.00619, "decode.loss_seg": 0.18154, "decode.acc_seg": 73.38568, "aux.loss_seg": 0.0987, "aux.acc_seg": 71.67721, "loss": 0.28024, "time": 0.54316} -{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.19012, "decode.acc_seg": 72.88437, "aux.loss_seg": 0.10582, "aux.acc_seg": 70.90775, "loss": 0.29594, "time": 0.53552} -{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 22404, "data_time": 0.00619, "decode.loss_seg": 0.18542, "decode.acc_seg": 74.86311, "aux.loss_seg": 0.10292, "aux.acc_seg": 73.01975, "loss": 0.28834, "time": 0.50874} -{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 22404, "data_time": 0.00614, "decode.loss_seg": 0.1807, "decode.acc_seg": 75.71948, "aux.loss_seg": 0.10071, "aux.acc_seg": 73.90692, "loss": 0.28141, "time": 0.50512} -{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.1842, "decode.acc_seg": 73.4323, "aux.loss_seg": 0.10307, "aux.acc_seg": 71.51982, "loss": 0.28727, "time": 0.51065} -{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.18551, "decode.acc_seg": 74.33086, "aux.loss_seg": 0.10436, "aux.acc_seg": 72.36157, "loss": 0.28987, "time": 0.51437} -{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 22404, "data_time": 0.0063, "decode.loss_seg": 0.18442, "decode.acc_seg": 74.87367, "aux.loss_seg": 0.10274, "aux.acc_seg": 72.95233, "loss": 0.28715, "time": 0.51632} -{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.17642, "decode.acc_seg": 73.85111, "aux.loss_seg": 0.09634, "aux.acc_seg": 72.12545, "loss": 0.27276, "time": 0.52182} -{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18537, "decode.acc_seg": 74.88872, "aux.loss_seg": 0.10303, "aux.acc_seg": 72.93092, "loss": 0.2884, "time": 0.53052} -{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.1829, "decode.acc_seg": 75.23325, "aux.loss_seg": 0.10006, "aux.acc_seg": 73.44518, "loss": 0.28295, "time": 0.52617} -{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.18525, "decode.acc_seg": 72.94771, "aux.loss_seg": 0.10273, "aux.acc_seg": 71.03743, "loss": 0.28798, "time": 0.50794} -{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18387, "decode.acc_seg": 74.94306, "aux.loss_seg": 0.10009, "aux.acc_seg": 73.25825, "loss": 0.28395, "time": 0.50575} -{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.18077, "decode.acc_seg": 76.30827, "aux.loss_seg": 0.10067, "aux.acc_seg": 74.39439, "loss": 0.28144, "time": 0.54159} -{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.18447, "decode.acc_seg": 76.07105, "aux.loss_seg": 0.10285, "aux.acc_seg": 74.23229, "loss": 0.28732, "time": 0.50839} -{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 22404, "data_time": 0.24679, "decode.loss_seg": 0.17819, "decode.acc_seg": 74.97351, "aux.loss_seg": 0.09827, "aux.acc_seg": 73.19063, "loss": 0.27646, "time": 0.75253} -{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.18418, "decode.acc_seg": 75.51192, "aux.loss_seg": 0.10129, "aux.acc_seg": 73.72849, "loss": 0.28547, "time": 0.53659} -{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.18647, "decode.acc_seg": 75.583, "aux.loss_seg": 0.10321, "aux.acc_seg": 73.55637, "loss": 0.28968, "time": 0.5274} -{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 22404, "data_time": 0.00634, "decode.loss_seg": 0.17931, "decode.acc_seg": 73.75243, "aux.loss_seg": 0.09968, "aux.acc_seg": 71.85721, "loss": 0.27899, "time": 0.52577} -{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.19573, "decode.acc_seg": 74.11089, "aux.loss_seg": 0.11056, "aux.acc_seg": 72.074, "loss": 0.30629, "time": 0.52208} -{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 22404, "data_time": 0.00675, "decode.loss_seg": 0.17469, "decode.acc_seg": 73.10156, "aux.loss_seg": 0.09674, "aux.acc_seg": 71.33225, "loss": 0.27143, "time": 0.51187} -{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.18675, "decode.acc_seg": 76.11652, "aux.loss_seg": 0.10338, "aux.acc_seg": 74.21339, "loss": 0.29012, "time": 0.52664} -{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18532, "decode.acc_seg": 74.93065, "aux.loss_seg": 0.1067, "aux.acc_seg": 72.75485, "loss": 0.29202, "time": 0.53893} -{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.18288, "decode.acc_seg": 74.8935, "aux.loss_seg": 0.10088, "aux.acc_seg": 73.01659, "loss": 0.28376, "time": 0.51163} -{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.18683, "decode.acc_seg": 74.36545, "aux.loss_seg": 0.10488, "aux.acc_seg": 72.49118, "loss": 0.29171, "time": 0.52264} -{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.19474, "decode.acc_seg": 75.10146, "aux.loss_seg": 0.1087, "aux.acc_seg": 73.13133, "loss": 0.30344, "time": 0.54337} -{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.18833, "decode.acc_seg": 76.82594, "aux.loss_seg": 0.10378, "aux.acc_seg": 75.07751, "loss": 0.29211, "time": 0.54328} -{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.18484, "decode.acc_seg": 74.34411, "aux.loss_seg": 0.10515, "aux.acc_seg": 72.23255, "loss": 0.28999, "time": 0.54386} -{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.19635, "decode.acc_seg": 75.69451, "aux.loss_seg": 0.1093, "aux.acc_seg": 73.63864, "loss": 0.30564, "time": 0.52693} -{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.18537, "decode.acc_seg": 75.09289, "aux.loss_seg": 0.10492, "aux.acc_seg": 73.11946, "loss": 0.29028, "time": 0.51403} -{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.18406, "decode.acc_seg": 74.54282, "aux.loss_seg": 0.10505, "aux.acc_seg": 72.45845, "loss": 0.28912, "time": 0.50612} -{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.1834, "decode.acc_seg": 76.25314, "aux.loss_seg": 0.10239, "aux.acc_seg": 74.42004, "loss": 0.28578, "time": 0.5387} -{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.19388, "decode.acc_seg": 74.32205, "aux.loss_seg": 0.10842, "aux.acc_seg": 72.36035, "loss": 0.30231, "time": 0.54959} -{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.17309, "decode.acc_seg": 75.15694, "aux.loss_seg": 0.09834, "aux.acc_seg": 73.29531, "loss": 0.27142, "time": 0.51748} -{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19135, "decode.acc_seg": 75.43075, "aux.loss_seg": 0.10576, "aux.acc_seg": 73.46437, "loss": 0.29711, "time": 0.52108} -{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 22404, "data_time": 0.00808, "decode.loss_seg": 0.17974, "decode.acc_seg": 76.25837, "aux.loss_seg": 0.10054, "aux.acc_seg": 74.49574, "loss": 0.28028, "time": 0.50788} -{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19074, "decode.acc_seg": 75.06892, "aux.loss_seg": 0.10446, "aux.acc_seg": 73.25466, "loss": 0.2952, "time": 0.52869} -{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.1788, "decode.acc_seg": 73.97769, "aux.loss_seg": 0.10005, "aux.acc_seg": 72.12137, "loss": 0.27885, "time": 0.54497} -{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.18892, "decode.acc_seg": 74.77605, "aux.loss_seg": 0.10382, "aux.acc_seg": 72.97292, "loss": 0.29274, "time": 0.53276} -{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.1733, "decode.acc_seg": 74.62965, "aux.loss_seg": 0.09709, "aux.acc_seg": 72.80115, "loss": 0.27039, "time": 0.52708} -{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 22404, "data_time": 0.24506, "decode.loss_seg": 0.18692, "decode.acc_seg": 73.08424, "aux.loss_seg": 0.10428, "aux.acc_seg": 71.18178, "loss": 0.29121, "time": 0.77416} -{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.19237, "decode.acc_seg": 74.54441, "aux.loss_seg": 0.10712, "aux.acc_seg": 72.57395, "loss": 0.29949, "time": 0.52869} -{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17196, "decode.acc_seg": 74.2344, "aux.loss_seg": 0.09441, "aux.acc_seg": 72.61443, "loss": 0.26636, "time": 0.54869} -{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 22404, "data_time": 0.00798, "decode.loss_seg": 0.18023, "decode.acc_seg": 75.52092, "aux.loss_seg": 0.10054, "aux.acc_seg": 73.6287, "loss": 0.28077, "time": 0.53163} -{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18534, "decode.acc_seg": 74.86768, "aux.loss_seg": 0.1038, "aux.acc_seg": 72.92858, "loss": 0.28914, "time": 0.55083} -{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.19944, "decode.acc_seg": 75.00496, "aux.loss_seg": 0.10913, "aux.acc_seg": 73.07023, "loss": 0.30857, "time": 0.5267} -{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.19534, "decode.acc_seg": 74.93652, "aux.loss_seg": 0.10791, "aux.acc_seg": 72.91982, "loss": 0.30326, "time": 0.51186} -{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.62491, "aux.loss_seg": 0.10294, "aux.acc_seg": 72.59995, "loss": 0.28474, "time": 0.51356} -{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.1815, "decode.acc_seg": 73.57627, "aux.loss_seg": 0.1036, "aux.acc_seg": 71.58111, "loss": 0.2851, "time": 0.52153} -{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.19547, "decode.acc_seg": 74.96845, "aux.loss_seg": 0.1087, "aux.acc_seg": 73.05442, "loss": 0.30417, "time": 0.51057} -{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.18531, "decode.acc_seg": 75.69958, "aux.loss_seg": 0.10337, "aux.acc_seg": 73.77657, "loss": 0.28868, "time": 0.50924} -{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17931, "decode.acc_seg": 72.97671, "aux.loss_seg": 0.09955, "aux.acc_seg": 71.09801, "loss": 0.27886, "time": 0.53176} -{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.18695, "decode.acc_seg": 75.53278, "aux.loss_seg": 0.10208, "aux.acc_seg": 73.63449, "loss": 0.28903, "time": 0.51286} -{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.19029, "decode.acc_seg": 74.58256, "aux.loss_seg": 0.10492, "aux.acc_seg": 72.66111, "loss": 0.29521, "time": 0.51787} -{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.18128, "decode.acc_seg": 74.24549, "aux.loss_seg": 0.10015, "aux.acc_seg": 72.4978, "loss": 0.28143, "time": 0.51303} -{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.17625, "decode.acc_seg": 75.07317, "aux.loss_seg": 0.09853, "aux.acc_seg": 73.29728, "loss": 0.27477, "time": 0.514} -{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.18968, "decode.acc_seg": 75.48682, "aux.loss_seg": 0.10637, "aux.acc_seg": 73.52196, "loss": 0.29604, "time": 0.51158} -{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.17539, "decode.acc_seg": 74.30054, "aux.loss_seg": 0.09899, "aux.acc_seg": 72.44431, "loss": 0.27438, "time": 0.53384} -{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.1765, "decode.acc_seg": 73.63309, "aux.loss_seg": 0.09711, "aux.acc_seg": 71.94974, "loss": 0.27361, "time": 0.52495} -{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 22404, "data_time": 0.00809, "decode.loss_seg": 0.17497, "decode.acc_seg": 74.78774, "aux.loss_seg": 0.09882, "aux.acc_seg": 73.02706, "loss": 0.27379, "time": 0.53271} -{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.1805, "decode.acc_seg": 74.83919, "aux.loss_seg": 0.1026, "aux.acc_seg": 72.88562, "loss": 0.2831, "time": 0.51674} -{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.18361, "decode.acc_seg": 75.33412, "aux.loss_seg": 0.10054, "aux.acc_seg": 73.52256, "loss": 0.28415, "time": 0.51198} -{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.17899, "decode.acc_seg": 75.72589, "aux.loss_seg": 0.10091, "aux.acc_seg": 73.81035, "loss": 0.27989, "time": 0.51122} -{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.19114, "decode.acc_seg": 73.53194, "aux.loss_seg": 0.10628, "aux.acc_seg": 71.55026, "loss": 0.29741, "time": 0.54771} -{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.19413, "decode.acc_seg": 74.94004, "aux.loss_seg": 0.10947, "aux.acc_seg": 72.86617, "loss": 0.3036, "time": 0.53183} -{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.18691, "decode.acc_seg": 74.87777, "aux.loss_seg": 0.10504, "aux.acc_seg": 73.03816, "loss": 0.29195, "time": 0.5194} -{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 22404, "data_time": 0.24851, "decode.loss_seg": 0.19136, "decode.acc_seg": 74.76501, "aux.loss_seg": 0.10656, "aux.acc_seg": 72.85411, "loss": 0.29792, "time": 0.7667} -{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.1812, "decode.acc_seg": 74.34374, "aux.loss_seg": 0.09934, "aux.acc_seg": 72.63711, "loss": 0.28053, "time": 0.51196} -{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.18228, "decode.acc_seg": 74.49869, "aux.loss_seg": 0.10111, "aux.acc_seg": 72.56103, "loss": 0.28339, "time": 0.51392} -{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.17159, "decode.acc_seg": 73.93827, "aux.loss_seg": 0.09853, "aux.acc_seg": 71.96198, "loss": 0.27012, "time": 0.51399} -{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.17981, "decode.acc_seg": 75.42895, "aux.loss_seg": 0.10103, "aux.acc_seg": 73.52205, "loss": 0.28084, "time": 0.50985} -{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17651, "decode.acc_seg": 74.39191, "aux.loss_seg": 0.09671, "aux.acc_seg": 72.65278, "loss": 0.27321, "time": 0.51937} -{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.18575, "decode.acc_seg": 74.50954, "aux.loss_seg": 0.10317, "aux.acc_seg": 72.53412, "loss": 0.28891, "time": 0.52202} -{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.18253, "decode.acc_seg": 76.22917, "aux.loss_seg": 0.10375, "aux.acc_seg": 74.26797, "loss": 0.28628, "time": 0.53767} -{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 22404, "data_time": 0.00668, "decode.loss_seg": 0.17897, "decode.acc_seg": 74.72874, "aux.loss_seg": 0.09908, "aux.acc_seg": 72.93398, "loss": 0.27805, "time": 0.52101} -{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16946, "decode.acc_seg": 72.99448, "aux.loss_seg": 0.09486, "aux.acc_seg": 71.22465, "loss": 0.26432, "time": 0.52323} -{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.17706, "decode.acc_seg": 74.38074, "aux.loss_seg": 0.10037, "aux.acc_seg": 72.48078, "loss": 0.27743, "time": 0.51671} -{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18124, "decode.acc_seg": 74.97284, "aux.loss_seg": 0.10198, "aux.acc_seg": 73.07549, "loss": 0.28322, "time": 0.51502} -{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.18212, "decode.acc_seg": 75.54228, "aux.loss_seg": 0.10348, "aux.acc_seg": 73.54348, "loss": 0.2856, "time": 0.5133} -{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.17966, "decode.acc_seg": 74.22963, "aux.loss_seg": 0.10046, "aux.acc_seg": 72.48907, "loss": 0.28012, "time": 0.51608} -{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.18203, "decode.acc_seg": 74.85935, "aux.loss_seg": 0.10219, "aux.acc_seg": 72.86319, "loss": 0.28422, "time": 0.51189} -{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.19049, "decode.acc_seg": 75.67334, "aux.loss_seg": 0.10591, "aux.acc_seg": 73.68331, "loss": 0.29639, "time": 0.51239} -{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.18491, "decode.acc_seg": 73.98041, "aux.loss_seg": 0.10199, "aux.acc_seg": 72.13459, "loss": 0.2869, "time": 0.52308} -{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.18015, "decode.acc_seg": 74.10545, "aux.loss_seg": 0.10148, "aux.acc_seg": 72.15743, "loss": 0.28163, "time": 0.51817} -{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.18446, "decode.acc_seg": 74.2567, "aux.loss_seg": 0.10048, "aux.acc_seg": 72.52717, "loss": 0.28494, "time": 0.54637} -{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18779, "decode.acc_seg": 74.33399, "aux.loss_seg": 0.10431, "aux.acc_seg": 72.45468, "loss": 0.2921, "time": 0.51732} -{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.19209, "decode.acc_seg": 74.2805, "aux.loss_seg": 0.10723, "aux.acc_seg": 72.28131, "loss": 0.29931, "time": 0.5122} -{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.18681, "decode.acc_seg": 73.73798, "aux.loss_seg": 0.10457, "aux.acc_seg": 71.79479, "loss": 0.29138, "time": 0.51435} -{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.18381, "decode.acc_seg": 74.5022, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.60842, "loss": 0.28731, "time": 0.51355} -{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.17544, "decode.acc_seg": 74.04014, "aux.loss_seg": 0.09789, "aux.acc_seg": 72.2701, "loss": 0.27334, "time": 0.50969} -{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.1765, "decode.acc_seg": 73.41014, "aux.loss_seg": 0.10035, "aux.acc_seg": 71.50243, "loss": 0.27684, "time": 0.53807} -{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 22404, "data_time": 0.24479, "decode.loss_seg": 0.18676, "decode.acc_seg": 75.35596, "aux.loss_seg": 0.10539, "aux.acc_seg": 73.341, "loss": 0.29215, "time": 0.76388} -{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.18717, "decode.acc_seg": 74.87833, "aux.loss_seg": 0.10448, "aux.acc_seg": 72.9747, "loss": 0.29165, "time": 0.52394} -{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18364, "decode.acc_seg": 74.46961, "aux.loss_seg": 0.10396, "aux.acc_seg": 72.55155, "loss": 0.2876, "time": 0.50972} -{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.18135, "decode.acc_seg": 75.17793, "aux.loss_seg": 0.10131, "aux.acc_seg": 73.27069, "loss": 0.28266, "time": 0.50748} -{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.18447, "decode.acc_seg": 74.59025, "aux.loss_seg": 0.10295, "aux.acc_seg": 72.65103, "loss": 0.28741, "time": 0.52368} -{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 22404, "data_time": 0.00787, "decode.loss_seg": 0.17809, "decode.acc_seg": 74.74708, "aux.loss_seg": 0.09915, "aux.acc_seg": 72.80902, "loss": 0.27724, "time": 0.5484} -{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.17941, "decode.acc_seg": 74.71495, "aux.loss_seg": 0.09879, "aux.acc_seg": 72.88393, "loss": 0.2782, "time": 0.51093} -{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.18395, "decode.acc_seg": 73.16782, "aux.loss_seg": 0.10007, "aux.acc_seg": 71.43365, "loss": 0.28402, "time": 0.512} -{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.19112, "decode.acc_seg": 74.54843, "aux.loss_seg": 0.10629, "aux.acc_seg": 72.65662, "loss": 0.29741, "time": 0.51485} -{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.1819, "decode.acc_seg": 75.4195, "aux.loss_seg": 0.10157, "aux.acc_seg": 73.48283, "loss": 0.28347, "time": 0.51262} -{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.17969, "decode.acc_seg": 75.8466, "aux.loss_seg": 0.10065, "aux.acc_seg": 74.04113, "loss": 0.28035, "time": 0.51235} -{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.18314, "decode.acc_seg": 75.13193, "aux.loss_seg": 0.10178, "aux.acc_seg": 73.15588, "loss": 0.28492, "time": 0.53708} -{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.18201, "decode.acc_seg": 74.86625, "aux.loss_seg": 0.10063, "aux.acc_seg": 73.20218, "loss": 0.28264, "time": 0.50946} -{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.18877, "decode.acc_seg": 74.40316, "aux.loss_seg": 0.10616, "aux.acc_seg": 72.46013, "loss": 0.29492, "time": 0.52081} -{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.17962, "decode.acc_seg": 73.94305, "aux.loss_seg": 0.10319, "aux.acc_seg": 72.08527, "loss": 0.28281, "time": 0.52097} -{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.17998, "decode.acc_seg": 74.76324, "aux.loss_seg": 0.10118, "aux.acc_seg": 72.87856, "loss": 0.28115, "time": 0.51272} -{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.17597, "decode.acc_seg": 74.91447, "aux.loss_seg": 0.10118, "aux.acc_seg": 72.89895, "loss": 0.27715, "time": 0.50619} -{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.18967, "decode.acc_seg": 75.74198, "aux.loss_seg": 0.1061, "aux.acc_seg": 73.86731, "loss": 0.29576, "time": 0.5207} -{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.17579, "decode.acc_seg": 74.54566, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.66475, "loss": 0.27465, "time": 0.52111} -{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.17781, "decode.acc_seg": 74.82829, "aux.loss_seg": 0.10107, "aux.acc_seg": 72.86954, "loss": 0.27889, "time": 0.53345} -{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.16692, "decode.acc_seg": 76.24619, "aux.loss_seg": 0.09291, "aux.acc_seg": 74.53914, "loss": 0.25984, "time": 0.51093} -{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.18626, "decode.acc_seg": 75.48113, "aux.loss_seg": 0.10378, "aux.acc_seg": 73.51711, "loss": 0.29004, "time": 0.51888} -{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.17934, "decode.acc_seg": 73.22113, "aux.loss_seg": 0.10106, "aux.acc_seg": 71.28244, "loss": 0.28039, "time": 0.50906} -{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17655, "decode.acc_seg": 73.47884, "aux.loss_seg": 0.09814, "aux.acc_seg": 71.69944, "loss": 0.27469, "time": 0.53747} -{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 22404, "data_time": 0.00779, "decode.loss_seg": 0.18137, "decode.acc_seg": 75.31356, "aux.loss_seg": 0.10086, "aux.acc_seg": 73.44615, "loss": 0.28223, "time": 0.52786} -{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 22404, "data_time": 0.24327, "decode.loss_seg": 0.18342, "decode.acc_seg": 74.40691, "aux.loss_seg": 0.10271, "aux.acc_seg": 72.4705, "loss": 0.28613, "time": 0.74514} -{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.18792, "decode.acc_seg": 74.18837, "aux.loss_seg": 0.10304, "aux.acc_seg": 72.35305, "loss": 0.29096, "time": 0.50766} -{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18192, "decode.acc_seg": 74.99853, "aux.loss_seg": 0.10217, "aux.acc_seg": 72.99776, "loss": 0.28409, "time": 0.51168} -{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17585, "decode.acc_seg": 75.56675, "aux.loss_seg": 0.09935, "aux.acc_seg": 73.6604, "loss": 0.27521, "time": 0.52678} -{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.17497, "decode.acc_seg": 75.78846, "aux.loss_seg": 0.09893, "aux.acc_seg": 73.78598, "loss": 0.2739, "time": 0.50654} -{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18074, "decode.acc_seg": 75.5502, "aux.loss_seg": 0.10085, "aux.acc_seg": 73.67139, "loss": 0.2816, "time": 0.52782} -{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.17641, "decode.acc_seg": 74.03657, "aux.loss_seg": 0.10008, "aux.acc_seg": 72.15002, "loss": 0.27648, "time": 0.53884} -{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.18299, "decode.acc_seg": 74.79048, "aux.loss_seg": 0.10483, "aux.acc_seg": 72.7161, "loss": 0.28782, "time": 0.52861} -{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.19775, "decode.acc_seg": 75.03756, "aux.loss_seg": 0.10792, "aux.acc_seg": 73.22337, "loss": 0.30567, "time": 0.52257} -{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.0594, "aux.loss_seg": 0.10217, "aux.acc_seg": 71.9946, "loss": 0.28397, "time": 0.524} -{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.1862, "decode.acc_seg": 74.24728, "aux.loss_seg": 0.10368, "aux.acc_seg": 72.31308, "loss": 0.28988, "time": 0.54197} -{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.18155, "decode.acc_seg": 75.02816, "aux.loss_seg": 0.10217, "aux.acc_seg": 73.06679, "loss": 0.28372, "time": 0.5137} -{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.17757, "decode.acc_seg": 74.74384, "aux.loss_seg": 0.10142, "aux.acc_seg": 72.78757, "loss": 0.27899, "time": 0.53862} -{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.18193, "decode.acc_seg": 75.41177, "aux.loss_seg": 0.10208, "aux.acc_seg": 73.45246, "loss": 0.28401, "time": 0.52448} -{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17982, "decode.acc_seg": 73.61999, "aux.loss_seg": 0.10443, "aux.acc_seg": 71.5074, "loss": 0.28425, "time": 0.54996} -{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.18256, "decode.acc_seg": 75.14944, "aux.loss_seg": 0.10022, "aux.acc_seg": 73.41091, "loss": 0.28277, "time": 0.5366} -{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17224, "decode.acc_seg": 74.69984, "aux.loss_seg": 0.09916, "aux.acc_seg": 72.67297, "loss": 0.2714, "time": 0.50616} -{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.16803, "decode.acc_seg": 74.47901, "aux.loss_seg": 0.09672, "aux.acc_seg": 72.53529, "loss": 0.26475, "time": 0.51039} -{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.18789, "decode.acc_seg": 75.1888, "aux.loss_seg": 0.10354, "aux.acc_seg": 73.38981, "loss": 0.29143, "time": 0.53411} -{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.17727, "decode.acc_seg": 75.35303, "aux.loss_seg": 0.10092, "aux.acc_seg": 73.39713, "loss": 0.27819, "time": 0.54467} -{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.18165, "decode.acc_seg": 75.84044, "aux.loss_seg": 0.10139, "aux.acc_seg": 74.00839, "loss": 0.28304, "time": 0.51505} -{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.18312, "decode.acc_seg": 76.32299, "aux.loss_seg": 0.10197, "aux.acc_seg": 74.46893, "loss": 0.28509, "time": 0.53057} -{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.17984, "decode.acc_seg": 74.23503, "aux.loss_seg": 0.09856, "aux.acc_seg": 72.46813, "loss": 0.27839, "time": 0.51379} -{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18306, "decode.acc_seg": 74.67524, "aux.loss_seg": 0.10276, "aux.acc_seg": 72.79185, "loss": 0.28582, "time": 0.52343} -{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.17935, "decode.acc_seg": 75.05476, "aux.loss_seg": 0.10084, "aux.acc_seg": 73.10629, "loss": 0.28019, "time": 0.52026} -{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 22404, "data_time": 0.25669, "decode.loss_seg": 0.17628, "decode.acc_seg": 75.21674, "aux.loss_seg": 0.09901, "aux.acc_seg": 73.37759, "loss": 0.27529, "time": 0.76731} -{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.17052, "decode.acc_seg": 74.84746, "aux.loss_seg": 0.0967, "aux.acc_seg": 72.91854, "loss": 0.26722, "time": 0.52266} -{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.17274, "decode.acc_seg": 75.03582, "aux.loss_seg": 0.09811, "aux.acc_seg": 73.1936, "loss": 0.27085, "time": 0.51979} -{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.16939, "decode.acc_seg": 75.63021, "aux.loss_seg": 0.09639, "aux.acc_seg": 73.73112, "loss": 0.26578, "time": 0.51683} -{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18408, "decode.acc_seg": 76.25528, "aux.loss_seg": 0.10266, "aux.acc_seg": 74.29903, "loss": 0.28674, "time": 0.52026} -{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.18376, "decode.acc_seg": 74.40579, "aux.loss_seg": 0.10337, "aux.acc_seg": 72.54043, "loss": 0.28713, "time": 0.51285} -{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.17361, "decode.acc_seg": 74.85322, "aux.loss_seg": 0.09739, "aux.acc_seg": 73.09257, "loss": 0.271, "time": 0.5445} -{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.17542, "decode.acc_seg": 76.11878, "aux.loss_seg": 0.09847, "aux.acc_seg": 74.16518, "loss": 0.27388, "time": 0.51405} -{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.17203, "decode.acc_seg": 73.74082, "aux.loss_seg": 0.0968, "aux.acc_seg": 71.99752, "loss": 0.26884, "time": 0.52098} -{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18847, "decode.acc_seg": 74.52875, "aux.loss_seg": 0.1031, "aux.acc_seg": 72.71353, "loss": 0.29157, "time": 0.51028} -{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.18388, "decode.acc_seg": 73.83842, "aux.loss_seg": 0.10081, "aux.acc_seg": 72.07258, "loss": 0.28469, "time": 0.51291} -{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.1819, "decode.acc_seg": 74.67169, "aux.loss_seg": 0.10356, "aux.acc_seg": 72.7566, "loss": 0.28546, "time": 0.51229} -{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.17267, "decode.acc_seg": 75.67636, "aux.loss_seg": 0.09877, "aux.acc_seg": 73.70876, "loss": 0.27144, "time": 0.51227} -{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.17687, "decode.acc_seg": 74.9733, "aux.loss_seg": 0.1008, "aux.acc_seg": 73.10075, "loss": 0.27767, "time": 0.51365} -{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.18362, "decode.acc_seg": 74.35657, "aux.loss_seg": 0.10333, "aux.acc_seg": 72.42147, "loss": 0.28695, "time": 0.51388} -{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.17294, "decode.acc_seg": 74.23081, "aux.loss_seg": 0.09822, "aux.acc_seg": 72.30763, "loss": 0.27116, "time": 0.51368} -{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.18736, "decode.acc_seg": 75.1817, "aux.loss_seg": 0.10509, "aux.acc_seg": 73.17649, "loss": 0.29245, "time": 0.5138} -{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.17847, "decode.acc_seg": 74.60541, "aux.loss_seg": 0.10047, "aux.acc_seg": 72.76556, "loss": 0.27894, "time": 0.51118} -{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.19762, "decode.acc_seg": 74.52595, "aux.loss_seg": 0.10808, "aux.acc_seg": 72.61264, "loss": 0.3057, "time": 0.51037} -{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.17968, "decode.acc_seg": 75.84083, "aux.loss_seg": 0.10023, "aux.acc_seg": 73.97312, "loss": 0.27991, "time": 0.5102} -{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.1742, "decode.acc_seg": 74.47013, "aux.loss_seg": 0.09805, "aux.acc_seg": 72.55268, "loss": 0.27225, "time": 0.52824} -{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.18042, "decode.acc_seg": 75.89071, "aux.loss_seg": 0.10125, "aux.acc_seg": 73.94313, "loss": 0.28167, "time": 0.51452} -{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.17946, "decode.acc_seg": 74.01706, "aux.loss_seg": 0.10119, "aux.acc_seg": 72.10125, "loss": 0.28066, "time": 0.51355} -{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.18351, "decode.acc_seg": 74.7339, "aux.loss_seg": 0.10293, "aux.acc_seg": 72.82929, "loss": 0.28644, "time": 0.51476} -{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.18696, "decode.acc_seg": 75.3058, "aux.loss_seg": 0.10537, "aux.acc_seg": 73.26969, "loss": 0.29234, "time": 0.51457} -{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 22404, "data_time": 0.00762, "decode.loss_seg": 0.16802, "decode.acc_seg": 74.70838, "aux.loss_seg": 0.09552, "aux.acc_seg": 72.89105, "loss": 0.26354, "time": 0.52894} -{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 22404, "data_time": 0.24121, "decode.loss_seg": 0.18933, "decode.acc_seg": 76.04036, "aux.loss_seg": 0.1063, "aux.acc_seg": 73.94377, "loss": 0.29563, "time": 0.75418} -{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.17096, "decode.acc_seg": 75.17444, "aux.loss_seg": 0.09639, "aux.acc_seg": 73.33365, "loss": 0.26734, "time": 0.53235} -{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16781, "decode.acc_seg": 74.87154, "aux.loss_seg": 0.09497, "aux.acc_seg": 73.00711, "loss": 0.26278, "time": 0.50777} -{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.17379, "decode.acc_seg": 72.65198, "aux.loss_seg": 0.09679, "aux.acc_seg": 70.89894, "loss": 0.27058, "time": 0.51181} -{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.18359, "decode.acc_seg": 74.04197, "aux.loss_seg": 0.10345, "aux.acc_seg": 72.08499, "loss": 0.28704, "time": 0.53094} -{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.17234, "decode.acc_seg": 76.51967, "aux.loss_seg": 0.09909, "aux.acc_seg": 74.52759, "loss": 0.27142, "time": 0.50824} -{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.18069, "decode.acc_seg": 74.81016, "aux.loss_seg": 0.10145, "aux.acc_seg": 72.87861, "loss": 0.28215, "time": 0.51192} -{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.17635, "decode.acc_seg": 74.88901, "aux.loss_seg": 0.09892, "aux.acc_seg": 73.05821, "loss": 0.27526, "time": 0.5125} -{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.18616, "decode.acc_seg": 73.56446, "aux.loss_seg": 0.10152, "aux.acc_seg": 71.67384, "loss": 0.28769, "time": 0.5287} -{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.19768, "decode.acc_seg": 74.14012, "aux.loss_seg": 0.10863, "aux.acc_seg": 72.2492, "loss": 0.30631, "time": 0.51851} -{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.31518, "aux.loss_seg": 0.09885, "aux.acc_seg": 73.59133, "loss": 0.27695, "time": 0.51197} -{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.18017, "decode.acc_seg": 75.28631, "aux.loss_seg": 0.09971, "aux.acc_seg": 73.46375, "loss": 0.27988, "time": 0.53629} -{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.17616, "decode.acc_seg": 75.27826, "aux.loss_seg": 0.09896, "aux.acc_seg": 73.36819, "loss": 0.27512, "time": 0.52996} -{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.179, "decode.acc_seg": 73.73481, "aux.loss_seg": 0.09961, "aux.acc_seg": 71.79879, "loss": 0.27861, "time": 0.53306} -{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.19079, "decode.acc_seg": 74.65504, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.87742, "loss": 0.29428, "time": 0.54184} -{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.1875, "decode.acc_seg": 74.98014, "aux.loss_seg": 0.1054, "aux.acc_seg": 72.98819, "loss": 0.2929, "time": 0.52779} -{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 22404, "data_time": 0.00674, "decode.loss_seg": 0.17616, "decode.acc_seg": 74.49205, "aux.loss_seg": 0.1007, "aux.acc_seg": 72.48701, "loss": 0.27685, "time": 0.52337} -{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17495, "decode.acc_seg": 75.04438, "aux.loss_seg": 0.09837, "aux.acc_seg": 73.14272, "loss": 0.27332, "time": 0.51515} -{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17262, "decode.acc_seg": 75.57045, "aux.loss_seg": 0.0981, "aux.acc_seg": 73.66248, "loss": 0.27072, "time": 0.52481} -{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 22404, "data_time": 0.00684, "decode.loss_seg": 0.18434, "decode.acc_seg": 73.97084, "aux.loss_seg": 0.10433, "aux.acc_seg": 72.1497, "loss": 0.28867, "time": 0.53264} -{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.17241, "decode.acc_seg": 73.78878, "aux.loss_seg": 0.09699, "aux.acc_seg": 71.98916, "loss": 0.2694, "time": 0.54238} -{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17914, "decode.acc_seg": 74.99876, "aux.loss_seg": 0.0981, "aux.acc_seg": 73.23166, "loss": 0.27724, "time": 0.5153} -{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17864, "decode.acc_seg": 75.72103, "aux.loss_seg": 0.09913, "aux.acc_seg": 74.02794, "loss": 0.27777, "time": 0.51179} -{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18723, "decode.acc_seg": 74.51795, "aux.loss_seg": 0.10035, "aux.acc_seg": 73.00088, "loss": 0.28758, "time": 0.51628} -{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.18132, "decode.acc_seg": 76.29429, "aux.loss_seg": 0.10165, "aux.acc_seg": 74.36492, "loss": 0.28297, "time": 0.51107} -{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 22404, "data_time": 0.24686, "decode.loss_seg": 0.16646, "decode.acc_seg": 74.99559, "aux.loss_seg": 0.09285, "aux.acc_seg": 73.17591, "loss": 0.25931, "time": 0.74667} -{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.1817, "decode.acc_seg": 75.76196, "aux.loss_seg": 0.10183, "aux.acc_seg": 73.85844, "loss": 0.28353, "time": 0.5089} -{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.18092, "decode.acc_seg": 75.77237, "aux.loss_seg": 0.10105, "aux.acc_seg": 73.90704, "loss": 0.28196, "time": 0.50815} -{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.1706, "decode.acc_seg": 73.55781, "aux.loss_seg": 0.09886, "aux.acc_seg": 71.56972, "loss": 0.26947, "time": 0.53075} -{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.1863, "decode.acc_seg": 75.0132, "aux.loss_seg": 0.10593, "aux.acc_seg": 72.918, "loss": 0.29223, "time": 0.53606} -{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.16839, "decode.acc_seg": 74.48313, "aux.loss_seg": 0.0949, "aux.acc_seg": 72.73949, "loss": 0.26329, "time": 0.51262} -{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.18216, "decode.acc_seg": 75.41193, "aux.loss_seg": 0.10087, "aux.acc_seg": 73.64221, "loss": 0.28303, "time": 0.51546} -{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17796, "decode.acc_seg": 74.93002, "aux.loss_seg": 0.09895, "aux.acc_seg": 73.08109, "loss": 0.2769, "time": 0.5336} -{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.18022, "decode.acc_seg": 74.35508, "aux.loss_seg": 0.09865, "aux.acc_seg": 72.58808, "loss": 0.27887, "time": 0.53343} -{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17633, "decode.acc_seg": 74.43966, "aux.loss_seg": 0.09933, "aux.acc_seg": 72.53966, "loss": 0.27566, "time": 0.50919} -{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17367, "decode.acc_seg": 75.08161, "aux.loss_seg": 0.09814, "aux.acc_seg": 73.1996, "loss": 0.27181, "time": 0.54012} -{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.18848, "decode.acc_seg": 75.42938, "aux.loss_seg": 0.10422, "aux.acc_seg": 73.64731, "loss": 0.2927, "time": 0.53579} -{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.17648, "decode.acc_seg": 75.09876, "aux.loss_seg": 0.09975, "aux.acc_seg": 73.16207, "loss": 0.27623, "time": 0.52556} -{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.17204, "decode.acc_seg": 74.06155, "aux.loss_seg": 0.09581, "aux.acc_seg": 72.33605, "loss": 0.26785, "time": 0.51759} -{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.174, "decode.acc_seg": 75.24498, "aux.loss_seg": 0.09757, "aux.acc_seg": 73.4204, "loss": 0.27158, "time": 0.51645} -{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.17847, "decode.acc_seg": 74.5313, "aux.loss_seg": 0.10168, "aux.acc_seg": 72.56437, "loss": 0.28015, "time": 0.51013} -{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.1774, "decode.acc_seg": 75.49521, "aux.loss_seg": 0.09831, "aux.acc_seg": 73.81652, "loss": 0.27571, "time": 0.52417} -{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.17383, "decode.acc_seg": 74.19342, "aux.loss_seg": 0.09918, "aux.acc_seg": 72.22487, "loss": 0.27301, "time": 0.51592} -{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.17942, "decode.acc_seg": 75.54994, "aux.loss_seg": 0.09813, "aux.acc_seg": 73.78629, "loss": 0.27755, "time": 0.52676} -{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17751, "decode.acc_seg": 74.61288, "aux.loss_seg": 0.10067, "aux.acc_seg": 72.63385, "loss": 0.27817, "time": 0.51007} -{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.17538, "decode.acc_seg": 75.24181, "aux.loss_seg": 0.09791, "aux.acc_seg": 73.48974, "loss": 0.27329, "time": 0.52065} -{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.17649, "decode.acc_seg": 73.94375, "aux.loss_seg": 0.101, "aux.acc_seg": 71.82121, "loss": 0.27749, "time": 0.51384} -{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.1772, "decode.acc_seg": 72.75109, "aux.loss_seg": 0.09972, "aux.acc_seg": 70.91522, "loss": 0.27692, "time": 0.51162} -{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.18431, "decode.acc_seg": 75.17075, "aux.loss_seg": 0.10634, "aux.acc_seg": 73.04384, "loss": 0.29065, "time": 0.51523} -{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.18758, "decode.acc_seg": 74.41966, "aux.loss_seg": 0.10532, "aux.acc_seg": 72.48579, "loss": 0.2929, "time": 0.51478} -{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 22404, "data_time": 0.24903, "decode.loss_seg": 0.17032, "decode.acc_seg": 74.80659, "aux.loss_seg": 0.09743, "aux.acc_seg": 72.90868, "loss": 0.26775, "time": 0.76592} -{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17267, "decode.acc_seg": 74.38959, "aux.loss_seg": 0.09794, "aux.acc_seg": 72.52152, "loss": 0.27061, "time": 0.51301} -{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17415, "decode.acc_seg": 73.88088, "aux.loss_seg": 0.1008, "aux.acc_seg": 71.81607, "loss": 0.27495, "time": 0.53592} -{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.17287, "decode.acc_seg": 74.67048, "aux.loss_seg": 0.09708, "aux.acc_seg": 72.87086, "loss": 0.26995, "time": 0.54922} -{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.17882, "decode.acc_seg": 74.87284, "aux.loss_seg": 0.09979, "aux.acc_seg": 73.07058, "loss": 0.27862, "time": 0.51815} -{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18794, "decode.acc_seg": 75.58571, "aux.loss_seg": 0.10816, "aux.acc_seg": 73.3612, "loss": 0.2961, "time": 0.51219} -{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.18001, "decode.acc_seg": 73.89926, "aux.loss_seg": 0.10263, "aux.acc_seg": 71.84647, "loss": 0.28264, "time": 0.51994} -{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.17077, "decode.acc_seg": 73.61063, "aux.loss_seg": 0.09565, "aux.acc_seg": 71.81009, "loss": 0.26642, "time": 0.51109} -{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18345, "decode.acc_seg": 74.95054, "aux.loss_seg": 0.10201, "aux.acc_seg": 73.02735, "loss": 0.28546, "time": 0.51927} -{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.17463, "decode.acc_seg": 74.76749, "aux.loss_seg": 0.09822, "aux.acc_seg": 72.91741, "loss": 0.27286, "time": 0.53506} -{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.1841, "decode.acc_seg": 75.26111, "aux.loss_seg": 0.10374, "aux.acc_seg": 73.25658, "loss": 0.28784, "time": 0.50942} -{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.18195, "decode.acc_seg": 76.37331, "aux.loss_seg": 0.10051, "aux.acc_seg": 74.59009, "loss": 0.28246, "time": 0.50933} -{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.15976, "decode.acc_seg": 74.61539, "aux.loss_seg": 0.09182, "aux.acc_seg": 72.75816, "loss": 0.25159, "time": 0.51612} -{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.18217, "decode.acc_seg": 75.04209, "aux.loss_seg": 0.10198, "aux.acc_seg": 73.15037, "loss": 0.28415, "time": 0.53062} -{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.17599, "decode.acc_seg": 74.10741, "aux.loss_seg": 0.09872, "aux.acc_seg": 72.36496, "loss": 0.27471, "time": 0.51233} -{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.18163, "decode.acc_seg": 74.2614, "aux.loss_seg": 0.10115, "aux.acc_seg": 72.43815, "loss": 0.28279, "time": 0.51292} -{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.17453, "decode.acc_seg": 75.40442, "aux.loss_seg": 0.09745, "aux.acc_seg": 73.70333, "loss": 0.27199, "time": 0.51186} -{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17337, "decode.acc_seg": 75.92452, "aux.loss_seg": 0.09809, "aux.acc_seg": 74.05334, "loss": 0.27146, "time": 0.52769} -{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.176, "decode.acc_seg": 74.64885, "aux.loss_seg": 0.09833, "aux.acc_seg": 72.84809, "loss": 0.27433, "time": 0.51636} -{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.17737, "decode.acc_seg": 75.25652, "aux.loss_seg": 0.09919, "aux.acc_seg": 73.44283, "loss": 0.27656, "time": 0.53324} -{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.17916, "decode.acc_seg": 75.34094, "aux.loss_seg": 0.09925, "aux.acc_seg": 73.62366, "loss": 0.27841, "time": 0.53237} -{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.16891, "decode.acc_seg": 74.67576, "aux.loss_seg": 0.09639, "aux.acc_seg": 72.66799, "loss": 0.2653, "time": 0.51497} -{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.17428, "decode.acc_seg": 75.28751, "aux.loss_seg": 0.09962, "aux.acc_seg": 73.36438, "loss": 0.27389, "time": 0.52142} -{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 22404, "data_time": 0.00805, "decode.loss_seg": 0.17016, "decode.acc_seg": 74.64925, "aux.loss_seg": 0.09814, "aux.acc_seg": 72.6252, "loss": 0.26829, "time": 0.52958} -{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.17414, "decode.acc_seg": 75.52044, "aux.loss_seg": 0.09904, "aux.acc_seg": 73.62315, "loss": 0.27318, "time": 0.51176} -{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.17065, "decode.acc_seg": 73.48604, "aux.loss_seg": 0.0953, "aux.acc_seg": 71.70199, "loss": 0.26595, "time": 0.50817} -{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 22404, "data_time": 0.24922, "decode.loss_seg": 0.17581, "decode.acc_seg": 74.885, "aux.loss_seg": 0.09842, "aux.acc_seg": 73.01353, "loss": 0.27422, "time": 0.75722} -{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.16767, "decode.acc_seg": 75.65373, "aux.loss_seg": 0.09512, "aux.acc_seg": 73.87411, "loss": 0.26279, "time": 0.51209} -{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.16737, "decode.acc_seg": 74.89476, "aux.loss_seg": 0.09413, "aux.acc_seg": 73.15027, "loss": 0.2615, "time": 0.51332} -{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18258, "decode.acc_seg": 74.71083, "aux.loss_seg": 0.10388, "aux.acc_seg": 72.66693, "loss": 0.28646, "time": 0.52778} -{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17755, "decode.acc_seg": 75.01671, "aux.loss_seg": 0.09967, "aux.acc_seg": 73.17657, "loss": 0.27723, "time": 0.5147} -{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17913, "decode.acc_seg": 74.1965, "aux.loss_seg": 0.10092, "aux.acc_seg": 72.34711, "loss": 0.28006, "time": 0.53042} -{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.17563, "decode.acc_seg": 75.48385, "aux.loss_seg": 0.10064, "aux.acc_seg": 73.41581, "loss": 0.27627, "time": 0.51624} -{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.17139, "decode.acc_seg": 74.48058, "aux.loss_seg": 0.09645, "aux.acc_seg": 72.66884, "loss": 0.26784, "time": 0.51243} -{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.17557, "decode.acc_seg": 73.21128, "aux.loss_seg": 0.09834, "aux.acc_seg": 71.48046, "loss": 0.27391, "time": 0.54747} -{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.17428, "decode.acc_seg": 74.72606, "aux.loss_seg": 0.1003, "aux.acc_seg": 72.7936, "loss": 0.27458, "time": 0.5118} -{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17834, "decode.acc_seg": 74.78174, "aux.loss_seg": 0.10094, "aux.acc_seg": 72.84959, "loss": 0.27929, "time": 0.51226} -{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16946, "decode.acc_seg": 75.07553, "aux.loss_seg": 0.09404, "aux.acc_seg": 73.28374, "loss": 0.2635, "time": 0.51232} -{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.17292, "decode.acc_seg": 74.81761, "aux.loss_seg": 0.09966, "aux.acc_seg": 72.80469, "loss": 0.27257, "time": 0.51243} -{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16711, "decode.acc_seg": 75.45006, "aux.loss_seg": 0.0965, "aux.acc_seg": 73.46857, "loss": 0.26361, "time": 0.50956} -{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.18025, "decode.acc_seg": 74.91613, "aux.loss_seg": 0.10115, "aux.acc_seg": 72.99235, "loss": 0.2814, "time": 0.51055} -{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.18539, "decode.acc_seg": 75.2485, "aux.loss_seg": 0.10402, "aux.acc_seg": 73.41967, "loss": 0.2894, "time": 0.51517} -{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17877, "decode.acc_seg": 74.90461, "aux.loss_seg": 0.1001, "aux.acc_seg": 73.00649, "loss": 0.27886, "time": 0.51705} -{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.17513, "decode.acc_seg": 74.50341, "aux.loss_seg": 0.10127, "aux.acc_seg": 72.44178, "loss": 0.2764, "time": 0.51541} -{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.60291, "aux.loss_seg": 0.09747, "aux.acc_seg": 73.591, "loss": 0.26711, "time": 0.52597} -{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.16787, "decode.acc_seg": 73.9604, "aux.loss_seg": 0.09234, "aux.acc_seg": 72.38582, "loss": 0.26021, "time": 0.51467} -{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.17762, "decode.acc_seg": 75.28418, "aux.loss_seg": 0.10013, "aux.acc_seg": 73.43029, "loss": 0.27775, "time": 0.53639} -{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.18122, "decode.acc_seg": 75.23745, "aux.loss_seg": 0.10338, "aux.acc_seg": 73.16301, "loss": 0.2846, "time": 0.54375} -{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.17448, "decode.acc_seg": 74.47023, "aux.loss_seg": 0.09628, "aux.acc_seg": 72.7314, "loss": 0.27076, "time": 0.54247} -{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.16828, "decode.acc_seg": 74.38283, "aux.loss_seg": 0.09309, "aux.acc_seg": 72.72975, "loss": 0.26137, "time": 0.51662} -{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.16884, "decode.acc_seg": 75.53456, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.60778, "loss": 0.26515, "time": 0.52692} -{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 22404, "data_time": 0.24606, "decode.loss_seg": 0.17607, "decode.acc_seg": 75.03323, "aux.loss_seg": 0.09994, "aux.acc_seg": 73.16966, "loss": 0.276, "time": 0.74633} -{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16524, "decode.acc_seg": 74.74158, "aux.loss_seg": 0.09408, "aux.acc_seg": 72.86136, "loss": 0.25932, "time": 0.51363} -{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.17846, "decode.acc_seg": 74.9358, "aux.loss_seg": 0.09855, "aux.acc_seg": 73.19142, "loss": 0.27701, "time": 0.51285} -{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17283, "decode.acc_seg": 75.71407, "aux.loss_seg": 0.09748, "aux.acc_seg": 73.83238, "loss": 0.2703, "time": 0.53807} -{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.17296, "decode.acc_seg": 75.48038, "aux.loss_seg": 0.09996, "aux.acc_seg": 73.51994, "loss": 0.27292, "time": 0.51322} -{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17089, "decode.acc_seg": 74.63814, "aux.loss_seg": 0.09845, "aux.acc_seg": 72.64395, "loss": 0.26934, "time": 0.51343} -{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.16781, "decode.acc_seg": 73.36674, "aux.loss_seg": 0.09392, "aux.acc_seg": 71.70922, "loss": 0.26173, "time": 0.51099} -{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.18234, "decode.acc_seg": 75.0476, "aux.loss_seg": 0.10315, "aux.acc_seg": 73.20698, "loss": 0.28549, "time": 0.51587} -{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4716, "mAcc": 0.591, "aAcc": 0.8228, "IoU.wall": 0.761, "IoU.building": 0.8084, "IoU.sky": 0.9387, "IoU.floor": 0.8071, "IoU.tree": 0.7347, "IoU.ceiling": 0.843, "IoU.road": 0.834, "IoU.bed ": 0.8864, "IoU.windowpane": 0.6075, "IoU.grass": 0.6566, "IoU.cabinet": 0.6057, "IoU.sidewalk": 0.6426, "IoU.person": 0.7785, "IoU.earth": 0.3808, "IoU.door": 0.4715, "IoU.table": 0.5416, "IoU.mountain": 0.5774, "IoU.plant": 0.5281, "IoU.curtain": 0.7137, "IoU.chair": 0.5456, "IoU.car": 0.8264, "IoU.water": 0.5546, "IoU.painting": 0.7098, "IoU.sofa": 0.6096, "IoU.shelf": 0.4481, "IoU.house": 0.35, "IoU.sea": 0.5817, "IoU.mirror": 0.6443, "IoU.rug": 0.5778, "IoU.field": 0.2919, "IoU.armchair": 0.3896, "IoU.seat": 0.614, "IoU.fence": 0.4675, "IoU.desk": 0.4524, "IoU.rock": 0.4111, "IoU.wardrobe": 0.4988, "IoU.lamp": 0.5941, "IoU.bathtub": 0.7624, "IoU.railing": 0.3498, "IoU.cushion": 0.5248, "IoU.base": 0.3009, "IoU.box": 0.2712, "IoU.column": 0.4218, "IoU.signboard": 0.3739, "IoU.chest of drawers": 0.4004, "IoU.counter": 0.2423, "IoU.sand": 0.4873, "IoU.sink": 0.6916, "IoU.skyscraper": 0.6182, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7437, "IoU.grandstand": 0.4044, "IoU.path": 0.2307, "IoU.stairs": 0.3199, "IoU.runway": 0.6983, "IoU.case": 0.508, "IoU.pool table": 0.9125, "IoU.pillow": 0.5453, "IoU.screen door": 0.7382, "IoU.stairway": 0.3391, "IoU.river": 0.1201, "IoU.bridge": 0.6693, "IoU.bookcase": 0.3784, "IoU.blind": NaN, "IoU.coffee table": 0.4923, "IoU.toilet": 0.829, "IoU.flower": 0.4046, "IoU.book": 0.4454, "IoU.hill": 0.0603, "IoU.bench": 0.4176, "IoU.countertop": 0.4874, "IoU.stove": 0.7044, "IoU.palm": 0.4826, "IoU.kitchen island": 0.3722, "IoU.computer": 0.6865, "IoU.swivel chair": 0.4451, "IoU.boat": 0.4274, "IoU.bar": 0.2261, "IoU.arcade machine": 0.626, "IoU.hovel": 0.3789, "IoU.bus": 0.8154, "IoU.towel": 0.6031, "IoU.light": 0.5122, "IoU.truck": 0.359, "IoU.tower": 0.0803, "IoU.chandelier": 0.6379, "IoU.awning": 0.2541, "IoU.streetlight": 0.2127, "IoU.booth": 0.5515, "IoU.television receiver": NaN, "IoU.airplane": 0.6229, "IoU.dirt track": 0.0521, "IoU.apparel": 0.25, "IoU.pole": 0.1722, "IoU.land": 0.0431, "IoU.bannister": 0.1018, "IoU.escalator": 0.4116, "IoU.ottoman": 0.3823, "IoU.bottle": NaN, "IoU.buffet": 0.4006, "IoU.poster": 0.2991, "IoU.stage": 0.1553, "IoU.van": 0.3863, "IoU.ship": 0.6375, "IoU.fountain": 0.2315, "IoU.conveyer belt": 0.7512, "IoU.canopy": 0.1308, "IoU.washer": 0.7671, "IoU.plaything": 0.289, "IoU.swimming pool": 0.5807, "IoU.stool": 0.4376, "IoU.barrel": 0.4212, "IoU.basket": 0.2948, "IoU.waterfall": 0.4896, "IoU.tent": 0.9277, "IoU.bag": 0.1063, "IoU.minibike": 0.7373, "IoU.cradle": NaN, "IoU.oven": 0.3709, "IoU.ball": 0.4052, "IoU.food": 0.3407, "IoU.step": 0.1117, "IoU.tank": 0.4864, "IoU.trade name": 0.2737, "IoU.microwave": 0.6799, "IoU.pot": 0.5179, "IoU.animal": NaN, "IoU.bicycle": 0.5384, "IoU.lake": 0.4257, "IoU.dishwasher": 0.528, "IoU.screen": 0.708, "IoU.blanket": 0.1539, "IoU.sculpture": 0.545, "IoU.hood": 0.594, "IoU.sconce": 0.4287, "IoU.vase": 0.3432, "IoU.traffic light": 0.2944, "IoU.tray": 0.0989, "IoU.ashcan": 0.4221, "IoU.fan": 0.5681, "IoU.pier": 0.3017, "IoU.crt screen": 0.0431, "IoU.plate": 0.5327, "IoU.monitor": 0.0438, "IoU.bulletin board": 0.395, "IoU.shower": 0.0226, "IoU.radiator": 0.5347, "IoU.glass": 0.1207, "IoU.clock": 0.3391, "IoU.flag": 0.4195, "Acc.wall": 0.8748, "Acc.building": 0.9171, "Acc.sky": 0.9705, "Acc.floor": 0.904, "Acc.tree": 0.874, "Acc.ceiling": 0.9297, "Acc.road": 0.8998, "Acc.bed ": 0.9487, "Acc.windowpane": 0.7859, "Acc.grass": 0.8127, "Acc.cabinet": 0.7352, "Acc.sidewalk": 0.812, "Acc.person": 0.906, "Acc.earth": 0.5095, "Acc.door": 0.605, "Acc.table": 0.7301, "Acc.mountain": 0.7285, "Acc.plant": 0.6338, "Acc.curtain": 0.8312, "Acc.chair": 0.708, "Acc.car": 0.9136, "Acc.water": 0.7326, "Acc.painting": 0.8567, "Acc.sofa": 0.7865, "Acc.shelf": 0.6151, "Acc.house": 0.4268, "Acc.sea": 0.7848, "Acc.mirror": 0.6998, "Acc.rug": 0.6953, "Acc.field": 0.4941, "Acc.armchair": 0.5592, "Acc.seat": 0.8342, "Acc.fence": 0.6203, "Acc.desk": 0.6371, "Acc.rock": 0.6601, "Acc.wardrobe": 0.6449, "Acc.lamp": 0.7359, "Acc.bathtub": 0.8205, "Acc.railing": 0.4584, "Acc.cushion": 0.6849, "Acc.base": 0.449, "Acc.box": 0.3434, "Acc.column": 0.5514, "Acc.signboard": 0.5139, "Acc.chest of drawers": 0.569, "Acc.counter": 0.31, "Acc.sand": 0.7291, "Acc.sink": 0.7857, "Acc.skyscraper": 0.7718, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8665, "Acc.grandstand": 0.6095, "Acc.path": 0.33, "Acc.stairs": 0.4176, "Acc.runway": 0.9337, "Acc.case": 0.6729, "Acc.pool table": 0.9604, "Acc.pillow": 0.654, "Acc.screen door": 0.8126, "Acc.stairway": 0.3812, "Acc.river": 0.2481, "Acc.bridge": 0.7786, "Acc.bookcase": 0.4464, "Acc.blind": NaN, "Acc.coffee table": 0.7918, "Acc.toilet": 0.8879, "Acc.flower": 0.5101, "Acc.book": 0.6274, "Acc.hill": 0.0768, "Acc.bench": 0.486, "Acc.countertop": 0.6657, "Acc.stove": 0.8286, "Acc.palm": 0.6972, "Acc.kitchen island": 0.7882, "Acc.computer": 0.8355, "Acc.swivel chair": 0.6768, "Acc.boat": 0.5136, "Acc.bar": 0.2948, "Acc.arcade machine": 0.6783, "Acc.hovel": 0.4291, "Acc.bus": 0.9109, "Acc.towel": 0.7164, "Acc.light": 0.5699, "Acc.truck": 0.4993, "Acc.tower": 0.1358, "Acc.chandelier": 0.8398, "Acc.awning": 0.2898, "Acc.streetlight": 0.2842, "Acc.booth": 0.6658, "Acc.television receiver": NaN, "Acc.airplane": 0.71, "Acc.dirt track": 0.068, "Acc.apparel": 0.4007, "Acc.pole": 0.2311, "Acc.land": 0.0555, "Acc.bannister": 0.1338, "Acc.escalator": 0.5844, "Acc.ottoman": 0.5182, "Acc.bottle": NaN, "Acc.buffet": 0.4573, "Acc.poster": 0.4708, "Acc.stage": 0.2586, "Acc.van": 0.5119, "Acc.ship": 0.9284, "Acc.fountain": 0.2428, "Acc.conveyer belt": 0.8522, "Acc.canopy": 0.17, "Acc.washer": 0.7903, "Acc.plaything": 0.4521, "Acc.swimming pool": 0.8278, "Acc.stool": 0.5566, "Acc.barrel": 0.6913, "Acc.basket": 0.3551, "Acc.waterfall": 0.6764, "Acc.tent": 0.9865, "Acc.bag": 0.1229, "Acc.minibike": 0.8897, "Acc.cradle": NaN, "Acc.oven": 0.4658, "Acc.ball": 0.4449, "Acc.food": 0.3833, "Acc.step": 0.1268, "Acc.tank": 0.5716, "Acc.trade name": 0.3254, "Acc.microwave": 0.7918, "Acc.pot": 0.573, "Acc.animal": NaN, "Acc.bicycle": 0.7669, "Acc.lake": 0.4365, "Acc.dishwasher": 0.6569, "Acc.screen": 0.8706, "Acc.blanket": 0.1814, "Acc.sculpture": 0.7772, "Acc.hood": 0.6819, "Acc.sconce": 0.5313, "Acc.vase": 0.5079, "Acc.traffic light": 0.4632, "Acc.tray": 0.1982, "Acc.ashcan": 0.5285, "Acc.fan": 0.7237, "Acc.pier": 0.4887, "Acc.crt screen": 0.1146, "Acc.plate": 0.7188, "Acc.monitor": 0.0501, "Acc.bulletin board": 0.5406, "Acc.shower": 0.0242, "Acc.radiator": 0.5942, "Acc.glass": 0.1308, "Acc.clock": 0.4025, "Acc.flag": 0.4816} -{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 22404, "data_time": 1.57064, "decode.loss_seg": 0.17214, "decode.acc_seg": 75.32816, "aux.loss_seg": 0.098, "aux.acc_seg": 73.53496, "loss": 0.27014, "time": 2.07581} -{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 22404, "data_time": 0.00647, "decode.loss_seg": 0.17606, "decode.acc_seg": 74.68109, "aux.loss_seg": 0.09823, "aux.acc_seg": 72.82944, "loss": 0.27429, "time": 0.53486} -{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.1692, "decode.acc_seg": 75.52802, "aux.loss_seg": 0.09956, "aux.acc_seg": 73.34321, "loss": 0.26876, "time": 0.52883} -{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.1831, "decode.acc_seg": 74.67603, "aux.loss_seg": 0.10283, "aux.acc_seg": 72.77604, "loss": 0.28594, "time": 0.51885} -{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.17068, "decode.acc_seg": 75.09155, "aux.loss_seg": 0.09671, "aux.acc_seg": 73.19817, "loss": 0.26738, "time": 0.51608} -{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.16587, "decode.acc_seg": 75.41442, "aux.loss_seg": 0.09493, "aux.acc_seg": 73.58796, "loss": 0.26079, "time": 0.52638} -{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.17191, "decode.acc_seg": 73.5627, "aux.loss_seg": 0.09742, "aux.acc_seg": 71.74212, "loss": 0.26932, "time": 0.54489} -{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.17296, "decode.acc_seg": 74.80742, "aux.loss_seg": 0.09756, "aux.acc_seg": 72.84929, "loss": 0.27052, "time": 0.54219} -{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.17615, "decode.acc_seg": 75.24773, "aux.loss_seg": 0.09831, "aux.acc_seg": 73.47494, "loss": 0.27446, "time": 0.522} -{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.18222, "decode.acc_seg": 75.7348, "aux.loss_seg": 0.10003, "aux.acc_seg": 74.00169, "loss": 0.28225, "time": 0.51261} -{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 22404, "data_time": 0.00638, "decode.loss_seg": 0.16645, "decode.acc_seg": 76.17512, "aux.loss_seg": 0.09301, "aux.acc_seg": 74.36572, "loss": 0.25947, "time": 0.50739} -{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.17641, "decode.acc_seg": 74.82459, "aux.loss_seg": 0.10022, "aux.acc_seg": 72.8718, "loss": 0.27664, "time": 0.51025} -{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.17186, "decode.acc_seg": 75.24121, "aux.loss_seg": 0.09786, "aux.acc_seg": 73.36209, "loss": 0.26972, "time": 0.512} -{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.17959, "decode.acc_seg": 75.37578, "aux.loss_seg": 0.10044, "aux.acc_seg": 73.49486, "loss": 0.28003, "time": 0.51252} -{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.16722, "decode.acc_seg": 74.33586, "aux.loss_seg": 0.09433, "aux.acc_seg": 72.54596, "loss": 0.26156, "time": 0.52475} -{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 22404, "data_time": 0.00679, "decode.loss_seg": 0.17291, "decode.acc_seg": 75.13871, "aux.loss_seg": 0.09529, "aux.acc_seg": 73.53416, "loss": 0.2682, "time": 0.51739} -{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 22404, "data_time": 0.24206, "decode.loss_seg": 0.17334, "decode.acc_seg": 74.35356, "aux.loss_seg": 0.09778, "aux.acc_seg": 72.50079, "loss": 0.27112, "time": 0.74387} -{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.16479, "decode.acc_seg": 74.04067, "aux.loss_seg": 0.0925, "aux.acc_seg": 72.33811, "loss": 0.25729, "time": 0.51036} -{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 22404, "data_time": 0.0064, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.98367, "aux.loss_seg": 0.09937, "aux.acc_seg": 73.019, "loss": 0.27517, "time": 0.51105} -{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.16453, "decode.acc_seg": 73.86352, "aux.loss_seg": 0.09527, "aux.acc_seg": 71.85436, "loss": 0.2598, "time": 0.52415} -{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.16545, "decode.acc_seg": 74.00008, "aux.loss_seg": 0.09545, "aux.acc_seg": 72.05711, "loss": 0.26089, "time": 0.51705} -{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.17218, "decode.acc_seg": 74.23854, "aux.loss_seg": 0.09884, "aux.acc_seg": 72.24722, "loss": 0.27102, "time": 0.51497} -{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 22404, "data_time": 0.0062, "decode.loss_seg": 0.17721, "decode.acc_seg": 76.10276, "aux.loss_seg": 0.0964, "aux.acc_seg": 74.3798, "loss": 0.2736, "time": 0.52244} -{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.17216, "decode.acc_seg": 75.69889, "aux.loss_seg": 0.09887, "aux.acc_seg": 73.68236, "loss": 0.27103, "time": 0.54402} -{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.16538, "decode.acc_seg": 74.9164, "aux.loss_seg": 0.09549, "aux.acc_seg": 72.9332, "loss": 0.26087, "time": 0.51281} -{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 22404, "data_time": 0.00623, "decode.loss_seg": 0.1772, "decode.acc_seg": 74.23258, "aux.loss_seg": 0.09854, "aux.acc_seg": 72.39622, "loss": 0.27574, "time": 0.53168} -{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 22404, "data_time": 0.00624, "decode.loss_seg": 0.16331, "decode.acc_seg": 75.37696, "aux.loss_seg": 0.09321, "aux.acc_seg": 73.44716, "loss": 0.25652, "time": 0.52019} -{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.16651, "decode.acc_seg": 74.43188, "aux.loss_seg": 0.09346, "aux.acc_seg": 72.66347, "loss": 0.25997, "time": 0.54451} -{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.17033, "decode.acc_seg": 74.68451, "aux.loss_seg": 0.09654, "aux.acc_seg": 72.83976, "loss": 0.26686, "time": 0.54271} -{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.1697, "decode.acc_seg": 75.89433, "aux.loss_seg": 0.09701, "aux.acc_seg": 73.98977, "loss": 0.26671, "time": 0.51803} -{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 22404, "data_time": 0.00628, "decode.loss_seg": 0.16778, "decode.acc_seg": 74.72899, "aux.loss_seg": 0.09662, "aux.acc_seg": 72.80657, "loss": 0.2644, "time": 0.50662} -{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 22404, "data_time": 0.00624, "decode.loss_seg": 0.16841, "decode.acc_seg": 76.24698, "aux.loss_seg": 0.09638, "aux.acc_seg": 74.32314, "loss": 0.26479, "time": 0.52723} -{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 22404, "data_time": 0.00661, "decode.loss_seg": 0.17964, "decode.acc_seg": 74.55637, "aux.loss_seg": 0.10048, "aux.acc_seg": 72.76045, "loss": 0.28011, "time": 0.51754} -{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.17437, "decode.acc_seg": 75.16769, "aux.loss_seg": 0.10029, "aux.acc_seg": 73.03937, "loss": 0.27466, "time": 0.5367} -{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.1783, "decode.acc_seg": 75.43455, "aux.loss_seg": 0.0985, "aux.acc_seg": 73.69081, "loss": 0.2768, "time": 0.51944} -{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.17679, "decode.acc_seg": 73.6922, "aux.loss_seg": 0.1002, "aux.acc_seg": 71.78924, "loss": 0.27699, "time": 0.51128} -{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 22404, "data_time": 0.00667, "decode.loss_seg": 0.17705, "decode.acc_seg": 74.41749, "aux.loss_seg": 0.10075, "aux.acc_seg": 72.39131, "loss": 0.2778, "time": 0.51884} -{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.18014, "decode.acc_seg": 75.80301, "aux.loss_seg": 0.10026, "aux.acc_seg": 73.8438, "loss": 0.2804, "time": 0.54049} -{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.17485, "decode.acc_seg": 75.05302, "aux.loss_seg": 0.09916, "aux.acc_seg": 73.21868, "loss": 0.27401, "time": 0.53119} -{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.17497, "decode.acc_seg": 75.23531, "aux.loss_seg": 0.09928, "aux.acc_seg": 73.29892, "loss": 0.27425, "time": 0.51283} -{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17398, "decode.acc_seg": 74.41386, "aux.loss_seg": 0.09755, "aux.acc_seg": 72.59268, "loss": 0.27153, "time": 0.51363} -{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 22404, "data_time": 0.24325, "decode.loss_seg": 0.17698, "decode.acc_seg": 74.7302, "aux.loss_seg": 0.10337, "aux.acc_seg": 72.6676, "loss": 0.28035, "time": 0.75801} -{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 22404, "data_time": 0.00662, "decode.loss_seg": 0.17382, "decode.acc_seg": 75.78986, "aux.loss_seg": 0.09702, "aux.acc_seg": 74.01222, "loss": 0.27085, "time": 0.54847} -{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16891, "decode.acc_seg": 76.03518, "aux.loss_seg": 0.09553, "aux.acc_seg": 74.11774, "loss": 0.26444, "time": 0.51907} -{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 22404, "data_time": 0.00632, "decode.loss_seg": 0.17988, "decode.acc_seg": 75.25148, "aux.loss_seg": 0.1019, "aux.acc_seg": 73.42277, "loss": 0.28178, "time": 0.51222} -{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 22404, "data_time": 0.00643, "decode.loss_seg": 0.17675, "decode.acc_seg": 75.42659, "aux.loss_seg": 0.09867, "aux.acc_seg": 73.55761, "loss": 0.27542, "time": 0.50814} -{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.41699, "aux.loss_seg": 0.09883, "aux.acc_seg": 73.46449, "loss": 0.27372, "time": 0.51273} -{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.1675, "decode.acc_seg": 75.41375, "aux.loss_seg": 0.09587, "aux.acc_seg": 73.56104, "loss": 0.26337, "time": 0.50808} -{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.18535, "decode.acc_seg": 75.54431, "aux.loss_seg": 0.10506, "aux.acc_seg": 73.59616, "loss": 0.29042, "time": 0.51802} -{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.17001, "decode.acc_seg": 74.38343, "aux.loss_seg": 0.09671, "aux.acc_seg": 72.48027, "loss": 0.26673, "time": 0.52111} -{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.17512, "decode.acc_seg": 76.3578, "aux.loss_seg": 0.0991, "aux.acc_seg": 74.40901, "loss": 0.27423, "time": 0.50765} -{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.1739, "decode.acc_seg": 73.11273, "aux.loss_seg": 0.09904, "aux.acc_seg": 71.25623, "loss": 0.27294, "time": 0.51277} -{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 22404, "data_time": 0.00669, "decode.loss_seg": 0.17652, "decode.acc_seg": 74.75881, "aux.loss_seg": 0.09801, "aux.acc_seg": 73.05946, "loss": 0.27453, "time": 0.53108} -{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.16837, "decode.acc_seg": 73.59716, "aux.loss_seg": 0.09447, "aux.acc_seg": 71.8345, "loss": 0.26284, "time": 0.51036} -{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.17366, "decode.acc_seg": 75.37283, "aux.loss_seg": 0.09854, "aux.acc_seg": 73.45305, "loss": 0.2722, "time": 0.52193} -{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.16953, "decode.acc_seg": 75.26839, "aux.loss_seg": 0.09579, "aux.acc_seg": 73.51512, "loss": 0.26532, "time": 0.54336} -{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17049, "decode.acc_seg": 74.3424, "aux.loss_seg": 0.09576, "aux.acc_seg": 72.61843, "loss": 0.26625, "time": 0.53599} -{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 22404, "data_time": 0.00681, "decode.loss_seg": 0.17379, "decode.acc_seg": 74.15754, "aux.loss_seg": 0.09761, "aux.acc_seg": 72.34193, "loss": 0.2714, "time": 0.51958} -{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.17671, "decode.acc_seg": 75.4242, "aux.loss_seg": 0.10266, "aux.acc_seg": 73.25829, "loss": 0.27937, "time": 0.54303} -{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17613, "decode.acc_seg": 73.32277, "aux.loss_seg": 0.09957, "aux.acc_seg": 71.39771, "loss": 0.2757, "time": 0.54028} -{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.17463, "decode.acc_seg": 75.94595, "aux.loss_seg": 0.0991, "aux.acc_seg": 73.98366, "loss": 0.27373, "time": 0.53645} -{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16767, "decode.acc_seg": 76.78495, "aux.loss_seg": 0.09437, "aux.acc_seg": 74.98133, "loss": 0.26204, "time": 0.52925} -{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17893, "decode.acc_seg": 74.61782, "aux.loss_seg": 0.10181, "aux.acc_seg": 72.71006, "loss": 0.28073, "time": 0.52672} -{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.17067, "decode.acc_seg": 73.96637, "aux.loss_seg": 0.09632, "aux.acc_seg": 72.1319, "loss": 0.26699, "time": 0.51113} -{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.1655, "decode.acc_seg": 75.1961, "aux.loss_seg": 0.09518, "aux.acc_seg": 73.28138, "loss": 0.26067, "time": 0.52597} -{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.17734, "decode.acc_seg": 75.47841, "aux.loss_seg": 0.09974, "aux.acc_seg": 73.64932, "loss": 0.27708, "time": 0.54763} -{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.18146, "decode.acc_seg": 75.20596, "aux.loss_seg": 0.10176, "aux.acc_seg": 73.30103, "loss": 0.28322, "time": 0.51645} -{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 22404, "data_time": 0.24813, "decode.loss_seg": 0.16411, "decode.acc_seg": 74.50112, "aux.loss_seg": 0.09381, "aux.acc_seg": 72.57786, "loss": 0.25792, "time": 0.77751} -{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 22404, "data_time": 0.00622, "decode.loss_seg": 0.16513, "decode.acc_seg": 74.78026, "aux.loss_seg": 0.09382, "aux.acc_seg": 72.94183, "loss": 0.25895, "time": 0.53174} -{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.17053, "decode.acc_seg": 75.87577, "aux.loss_seg": 0.09586, "aux.acc_seg": 74.13681, "loss": 0.26639, "time": 0.51208} -{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 22404, "data_time": 0.00635, "decode.loss_seg": 0.17994, "decode.acc_seg": 75.17767, "aux.loss_seg": 0.10113, "aux.acc_seg": 73.19266, "loss": 0.28107, "time": 0.52023} -{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 22404, "data_time": 0.00646, "decode.loss_seg": 0.16502, "decode.acc_seg": 76.08254, "aux.loss_seg": 0.09196, "aux.acc_seg": 74.36105, "loss": 0.25699, "time": 0.52618} -{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.17196, "decode.acc_seg": 74.58284, "aux.loss_seg": 0.09756, "aux.acc_seg": 72.72068, "loss": 0.26952, "time": 0.5413} -{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 22404, "data_time": 0.00671, "decode.loss_seg": 0.17713, "decode.acc_seg": 75.23724, "aux.loss_seg": 0.10025, "aux.acc_seg": 73.32084, "loss": 0.27739, "time": 0.52043} -{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.16658, "decode.acc_seg": 75.21308, "aux.loss_seg": 0.09416, "aux.acc_seg": 73.33458, "loss": 0.26074, "time": 0.53056} -{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.1793, "decode.acc_seg": 75.00271, "aux.loss_seg": 0.09992, "aux.acc_seg": 73.18314, "loss": 0.27922, "time": 0.51445} -{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.38142, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.66933, "loss": 0.26147, "time": 0.52252} -{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.17341, "decode.acc_seg": 75.70344, "aux.loss_seg": 0.0983, "aux.acc_seg": 73.84481, "loss": 0.27171, "time": 0.51305} -{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17266, "decode.acc_seg": 74.40688, "aux.loss_seg": 0.09736, "aux.acc_seg": 72.47564, "loss": 0.27002, "time": 0.52383} -{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.15782, "decode.acc_seg": 74.0934, "aux.loss_seg": 0.08998, "aux.acc_seg": 72.27863, "loss": 0.2478, "time": 0.54284} -{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.16295, "decode.acc_seg": 75.77985, "aux.loss_seg": 0.093, "aux.acc_seg": 73.92302, "loss": 0.25595, "time": 0.54312} -{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1678, "decode.acc_seg": 74.26173, "aux.loss_seg": 0.09622, "aux.acc_seg": 72.31454, "loss": 0.26402, "time": 0.52271} -{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16931, "decode.acc_seg": 74.09044, "aux.loss_seg": 0.09559, "aux.acc_seg": 72.30572, "loss": 0.2649, "time": 0.51808} -{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.18131, "decode.acc_seg": 75.88691, "aux.loss_seg": 0.10334, "aux.acc_seg": 73.96272, "loss": 0.28465, "time": 0.5272} -{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.16758, "decode.acc_seg": 73.92727, "aux.loss_seg": 0.0957, "aux.acc_seg": 71.97013, "loss": 0.26328, "time": 0.53053} -{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.1637, "decode.acc_seg": 73.58838, "aux.loss_seg": 0.09548, "aux.acc_seg": 71.65899, "loss": 0.25918, "time": 0.51403} -{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17806, "decode.acc_seg": 75.41536, "aux.loss_seg": 0.10073, "aux.acc_seg": 73.46204, "loss": 0.27879, "time": 0.51561} -{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16748, "decode.acc_seg": 74.43009, "aux.loss_seg": 0.09715, "aux.acc_seg": 72.31632, "loss": 0.26462, "time": 0.51623} -{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.17406, "decode.acc_seg": 74.52969, "aux.loss_seg": 0.10084, "aux.acc_seg": 72.48249, "loss": 0.2749, "time": 0.51927} -{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16593, "decode.acc_seg": 75.6427, "aux.loss_seg": 0.09441, "aux.acc_seg": 73.7885, "loss": 0.26035, "time": 0.5177} -{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.1695, "decode.acc_seg": 74.84089, "aux.loss_seg": 0.09783, "aux.acc_seg": 72.85285, "loss": 0.26732, "time": 0.50972} -{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.172, "decode.acc_seg": 75.91162, "aux.loss_seg": 0.09659, "aux.acc_seg": 74.10816, "loss": 0.2686, "time": 0.53381} -{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 22404, "data_time": 0.24936, "decode.loss_seg": 0.17275, "decode.acc_seg": 74.36102, "aux.loss_seg": 0.09741, "aux.acc_seg": 72.54081, "loss": 0.27016, "time": 0.75039} -{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16763, "decode.acc_seg": 75.19389, "aux.loss_seg": 0.09667, "aux.acc_seg": 73.13182, "loss": 0.2643, "time": 0.53063} -{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.17545, "decode.acc_seg": 75.11117, "aux.loss_seg": 0.09731, "aux.acc_seg": 73.33731, "loss": 0.27276, "time": 0.5379} -{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.16031, "decode.acc_seg": 75.43215, "aux.loss_seg": 0.09126, "aux.acc_seg": 73.63047, "loss": 0.25157, "time": 0.54412} -{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.17545, "decode.acc_seg": 74.22502, "aux.loss_seg": 0.10099, "aux.acc_seg": 72.13662, "loss": 0.27643, "time": 0.52887} -{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.17899, "decode.acc_seg": 75.84101, "aux.loss_seg": 0.10023, "aux.acc_seg": 73.92807, "loss": 0.27923, "time": 0.51331} -{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.17582, "decode.acc_seg": 75.45127, "aux.loss_seg": 0.09933, "aux.acc_seg": 73.53629, "loss": 0.27514, "time": 0.51677} -{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17088, "decode.acc_seg": 74.90526, "aux.loss_seg": 0.09769, "aux.acc_seg": 73.01954, "loss": 0.26857, "time": 0.5182} -{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.17732, "decode.acc_seg": 76.06639, "aux.loss_seg": 0.09832, "aux.acc_seg": 74.25906, "loss": 0.27564, "time": 0.51558} -{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.17352, "decode.acc_seg": 74.56489, "aux.loss_seg": 0.09766, "aux.acc_seg": 72.76246, "loss": 0.27117, "time": 0.51535} -{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 22404, "data_time": 0.00781, "decode.loss_seg": 0.16751, "decode.acc_seg": 76.85781, "aux.loss_seg": 0.09488, "aux.acc_seg": 75.0386, "loss": 0.26239, "time": 0.51246} -{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.1631, "decode.acc_seg": 75.1671, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.21503, "loss": 0.25746, "time": 0.51454} -{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.17253, "decode.acc_seg": 75.89043, "aux.loss_seg": 0.09751, "aux.acc_seg": 74.06574, "loss": 0.27004, "time": 0.51261} -{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.17187, "decode.acc_seg": 74.23544, "aux.loss_seg": 0.09704, "aux.acc_seg": 72.40721, "loss": 0.26891, "time": 0.53983} -{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.16195, "decode.acc_seg": 73.55742, "aux.loss_seg": 0.09149, "aux.acc_seg": 71.88075, "loss": 0.25344, "time": 0.54421} -{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.17324, "decode.acc_seg": 76.30559, "aux.loss_seg": 0.09888, "aux.acc_seg": 74.3304, "loss": 0.27212, "time": 0.51186} -{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.16674, "decode.acc_seg": 76.04306, "aux.loss_seg": 0.09349, "aux.acc_seg": 74.24333, "loss": 0.26023, "time": 0.51271} -{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 22404, "data_time": 0.00687, "decode.loss_seg": 0.1643, "decode.acc_seg": 74.39595, "aux.loss_seg": 0.09514, "aux.acc_seg": 72.44848, "loss": 0.25943, "time": 0.51412} -{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16538, "decode.acc_seg": 74.19091, "aux.loss_seg": 0.09338, "aux.acc_seg": 72.39525, "loss": 0.25876, "time": 0.52368} -{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.17484, "decode.acc_seg": 74.8293, "aux.loss_seg": 0.0973, "aux.acc_seg": 73.00923, "loss": 0.27213, "time": 0.52053} -{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.17056, "decode.acc_seg": 76.34786, "aux.loss_seg": 0.09481, "aux.acc_seg": 74.58816, "loss": 0.26537, "time": 0.52479} -{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17121, "decode.acc_seg": 75.13032, "aux.loss_seg": 0.09686, "aux.acc_seg": 73.28877, "loss": 0.26806, "time": 0.53313} -{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16691, "decode.acc_seg": 74.64772, "aux.loss_seg": 0.09526, "aux.acc_seg": 72.80946, "loss": 0.26217, "time": 0.51266} -{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.17358, "decode.acc_seg": 75.2215, "aux.loss_seg": 0.09797, "aux.acc_seg": 73.33067, "loss": 0.27155, "time": 0.51648} -{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.17441, "decode.acc_seg": 74.71394, "aux.loss_seg": 0.09993, "aux.acc_seg": 72.80233, "loss": 0.27434, "time": 0.5395} -{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 22404, "data_time": 0.24555, "decode.loss_seg": 0.16427, "decode.acc_seg": 76.47015, "aux.loss_seg": 0.09391, "aux.acc_seg": 74.65581, "loss": 0.25818, "time": 0.75683} -{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.1724, "decode.acc_seg": 74.66567, "aux.loss_seg": 0.09414, "aux.acc_seg": 72.99593, "loss": 0.26654, "time": 0.50696} -{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.16892, "decode.acc_seg": 75.46903, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.52854, "loss": 0.26512, "time": 0.53167} -{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.1773, "decode.acc_seg": 76.61055, "aux.loss_seg": 0.10066, "aux.acc_seg": 74.66198, "loss": 0.27795, "time": 0.52025} -{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.17465, "decode.acc_seg": 73.43425, "aux.loss_seg": 0.10223, "aux.acc_seg": 71.25188, "loss": 0.27687, "time": 0.52056} -{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16274, "decode.acc_seg": 75.30694, "aux.loss_seg": 0.09336, "aux.acc_seg": 73.4899, "loss": 0.2561, "time": 0.5234} -{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.16717, "decode.acc_seg": 73.91972, "aux.loss_seg": 0.09491, "aux.acc_seg": 71.95725, "loss": 0.26208, "time": 0.53078} -{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.16279, "decode.acc_seg": 74.32669, "aux.loss_seg": 0.09436, "aux.acc_seg": 72.49949, "loss": 0.25714, "time": 0.50947} -{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 22404, "data_time": 0.00685, "decode.loss_seg": 0.16961, "decode.acc_seg": 74.33412, "aux.loss_seg": 0.09596, "aux.acc_seg": 72.50495, "loss": 0.26557, "time": 0.52311} -{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.16369, "decode.acc_seg": 75.83026, "aux.loss_seg": 0.09113, "aux.acc_seg": 74.08081, "loss": 0.25483, "time": 0.52465} -{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.16681, "decode.acc_seg": 75.34809, "aux.loss_seg": 0.09466, "aux.acc_seg": 73.441, "loss": 0.26147, "time": 0.54819} -{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.16837, "decode.acc_seg": 75.16441, "aux.loss_seg": 0.0957, "aux.acc_seg": 73.23242, "loss": 0.26407, "time": 0.51037} -{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16819, "decode.acc_seg": 75.54508, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.80304, "loss": 0.26202, "time": 0.53484} -{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17677, "decode.acc_seg": 75.52341, "aux.loss_seg": 0.10094, "aux.acc_seg": 73.5721, "loss": 0.27771, "time": 0.52313} -{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.17078, "decode.acc_seg": 76.46422, "aux.loss_seg": 0.09901, "aux.acc_seg": 74.42159, "loss": 0.26979, "time": 0.53896} -{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.17638, "decode.acc_seg": 74.87029, "aux.loss_seg": 0.09956, "aux.acc_seg": 73.03954, "loss": 0.27594, "time": 0.54444} -{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16934, "decode.acc_seg": 74.89225, "aux.loss_seg": 0.09689, "aux.acc_seg": 73.07984, "loss": 0.26623, "time": 0.50915} -{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.1689, "decode.acc_seg": 75.78268, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.85312, "loss": 0.26511, "time": 0.51049} -{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.16776, "decode.acc_seg": 75.62781, "aux.loss_seg": 0.09524, "aux.acc_seg": 73.78242, "loss": 0.26299, "time": 0.52783} -{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.16786, "decode.acc_seg": 74.72158, "aux.loss_seg": 0.09766, "aux.acc_seg": 72.73946, "loss": 0.26553, "time": 0.52678} -{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.17419, "decode.acc_seg": 75.50282, "aux.loss_seg": 0.0967, "aux.acc_seg": 73.73806, "loss": 0.27089, "time": 0.51345} -{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.17992, "decode.acc_seg": 74.56546, "aux.loss_seg": 0.09958, "aux.acc_seg": 72.72881, "loss": 0.2795, "time": 0.53525} -{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16694, "decode.acc_seg": 75.8768, "aux.loss_seg": 0.09561, "aux.acc_seg": 74.05384, "loss": 0.26255, "time": 0.50899} -{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.1736, "decode.acc_seg": 73.67417, "aux.loss_seg": 0.09709, "aux.acc_seg": 71.86871, "loss": 0.27069, "time": 0.52525} -{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.16937, "decode.acc_seg": 73.33657, "aux.loss_seg": 0.09506, "aux.acc_seg": 71.60004, "loss": 0.26443, "time": 0.51071} -{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 22404, "data_time": 0.24331, "decode.loss_seg": 0.17765, "decode.acc_seg": 74.29468, "aux.loss_seg": 0.10091, "aux.acc_seg": 72.21726, "loss": 0.27855, "time": 0.75694} -{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16066, "decode.acc_seg": 75.18984, "aux.loss_seg": 0.09217, "aux.acc_seg": 73.39077, "loss": 0.25283, "time": 0.51983} -{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.15494, "decode.acc_seg": 74.85703, "aux.loss_seg": 0.08954, "aux.acc_seg": 73.09258, "loss": 0.24448, "time": 0.51607} -{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16603, "decode.acc_seg": 75.34152, "aux.loss_seg": 0.0967, "aux.acc_seg": 73.26593, "loss": 0.26273, "time": 0.52665} -{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16906, "decode.acc_seg": 75.25923, "aux.loss_seg": 0.09603, "aux.acc_seg": 73.39693, "loss": 0.2651, "time": 0.51777} -{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.16369, "decode.acc_seg": 75.26792, "aux.loss_seg": 0.09544, "aux.acc_seg": 73.3129, "loss": 0.25913, "time": 0.52736} -{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.17329, "decode.acc_seg": 74.97439, "aux.loss_seg": 0.09719, "aux.acc_seg": 73.09312, "loss": 0.27049, "time": 0.50794} -{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.16812, "decode.acc_seg": 75.18349, "aux.loss_seg": 0.09389, "aux.acc_seg": 73.37566, "loss": 0.262, "time": 0.51854} -{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16969, "decode.acc_seg": 75.56011, "aux.loss_seg": 0.09585, "aux.acc_seg": 73.73718, "loss": 0.26554, "time": 0.51072} -{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.17308, "decode.acc_seg": 75.11555, "aux.loss_seg": 0.10002, "aux.acc_seg": 73.12078, "loss": 0.2731, "time": 0.53273} -{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.16983, "decode.acc_seg": 75.20809, "aux.loss_seg": 0.10017, "aux.acc_seg": 73.04986, "loss": 0.26999, "time": 0.54524} -{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.16834, "decode.acc_seg": 74.65815, "aux.loss_seg": 0.09638, "aux.acc_seg": 72.7264, "loss": 0.26471, "time": 0.51466} -{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.1651, "decode.acc_seg": 74.67937, "aux.loss_seg": 0.09383, "aux.acc_seg": 72.83353, "loss": 0.25894, "time": 0.52243} -{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.16074, "decode.acc_seg": 74.93875, "aux.loss_seg": 0.09293, "aux.acc_seg": 73.04335, "loss": 0.25368, "time": 0.52348} -{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16227, "decode.acc_seg": 74.73642, "aux.loss_seg": 0.09303, "aux.acc_seg": 72.89517, "loss": 0.2553, "time": 0.50623} -{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.17153, "decode.acc_seg": 75.33938, "aux.loss_seg": 0.09748, "aux.acc_seg": 73.51587, "loss": 0.26901, "time": 0.5309} -{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.16768, "decode.acc_seg": 74.34149, "aux.loss_seg": 0.09464, "aux.acc_seg": 72.59904, "loss": 0.26232, "time": 0.54323} -{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 22404, "data_time": 0.0079, "decode.loss_seg": 0.17078, "decode.acc_seg": 76.26961, "aux.loss_seg": 0.0958, "aux.acc_seg": 74.55048, "loss": 0.26658, "time": 0.51864} -{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.17052, "decode.acc_seg": 76.05504, "aux.loss_seg": 0.10012, "aux.acc_seg": 73.87911, "loss": 0.27064, "time": 0.52212} -{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.18192, "decode.acc_seg": 76.06175, "aux.loss_seg": 0.10145, "aux.acc_seg": 74.16125, "loss": 0.28337, "time": 0.53843} -{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 22404, "data_time": 0.00824, "decode.loss_seg": 0.16623, "decode.acc_seg": 75.15238, "aux.loss_seg": 0.09603, "aux.acc_seg": 73.26663, "loss": 0.26226, "time": 0.52409} -{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16996, "decode.acc_seg": 75.7018, "aux.loss_seg": 0.09666, "aux.acc_seg": 73.89311, "loss": 0.26661, "time": 0.5231} -{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 22404, "data_time": 0.00806, "decode.loss_seg": 0.17784, "decode.acc_seg": 74.59804, "aux.loss_seg": 0.10153, "aux.acc_seg": 72.62207, "loss": 0.27937, "time": 0.52287} -{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.16538, "decode.acc_seg": 75.29797, "aux.loss_seg": 0.09412, "aux.acc_seg": 73.47339, "loss": 0.2595, "time": 0.51269} -{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.16547, "decode.acc_seg": 74.00861, "aux.loss_seg": 0.09505, "aux.acc_seg": 72.09418, "loss": 0.26052, "time": 0.5169} -{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 22404, "data_time": 0.00819, "decode.loss_seg": 0.17039, "decode.acc_seg": 73.34567, "aux.loss_seg": 0.09773, "aux.acc_seg": 71.35, "loss": 0.26812, "time": 0.52328} -{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 22404, "data_time": 0.2526, "decode.loss_seg": 0.16793, "decode.acc_seg": 75.30476, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.55753, "loss": 0.26229, "time": 0.76065} -{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16248, "decode.acc_seg": 74.26326, "aux.loss_seg": 0.09221, "aux.acc_seg": 72.47179, "loss": 0.25469, "time": 0.54195} -{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.17213, "decode.acc_seg": 74.63157, "aux.loss_seg": 0.09764, "aux.acc_seg": 72.80177, "loss": 0.26976, "time": 0.52074} -{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16254, "decode.acc_seg": 74.93793, "aux.loss_seg": 0.09192, "aux.acc_seg": 73.20866, "loss": 0.25446, "time": 0.51327} -{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.1689, "decode.acc_seg": 74.67008, "aux.loss_seg": 0.09443, "aux.acc_seg": 72.8744, "loss": 0.26332, "time": 0.52039} -{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16975, "decode.acc_seg": 75.41635, "aux.loss_seg": 0.09613, "aux.acc_seg": 73.63951, "loss": 0.26588, "time": 0.51064} -{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16759, "decode.acc_seg": 75.51514, "aux.loss_seg": 0.09448, "aux.acc_seg": 73.69058, "loss": 0.26207, "time": 0.53574} -{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16703, "decode.acc_seg": 74.57817, "aux.loss_seg": 0.09542, "aux.acc_seg": 72.66142, "loss": 0.26245, "time": 0.52323} -{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.17044, "decode.acc_seg": 74.51357, "aux.loss_seg": 0.09829, "aux.acc_seg": 72.47738, "loss": 0.26872, "time": 0.5295} -{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.17283, "decode.acc_seg": 76.17946, "aux.loss_seg": 0.09973, "aux.acc_seg": 74.24275, "loss": 0.27256, "time": 0.53668} -{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.17121, "decode.acc_seg": 74.89009, "aux.loss_seg": 0.09807, "aux.acc_seg": 72.8718, "loss": 0.26928, "time": 0.51411} -{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.8946, "aux.loss_seg": 0.09741, "aux.acc_seg": 74.17622, "loss": 0.27231, "time": 0.52483} -{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.18181, "decode.acc_seg": 75.41116, "aux.loss_seg": 0.10294, "aux.acc_seg": 73.55828, "loss": 0.28475, "time": 0.51629} -{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.16669, "decode.acc_seg": 74.78279, "aux.loss_seg": 0.09546, "aux.acc_seg": 72.85451, "loss": 0.26215, "time": 0.52139} -{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.17584, "decode.acc_seg": 74.66363, "aux.loss_seg": 0.09969, "aux.acc_seg": 72.74795, "loss": 0.27553, "time": 0.51676} -{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.18123, "decode.acc_seg": 76.29584, "aux.loss_seg": 0.10121, "aux.acc_seg": 74.31312, "loss": 0.28244, "time": 0.5176} -{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16689, "decode.acc_seg": 76.16773, "aux.loss_seg": 0.09452, "aux.acc_seg": 74.41322, "loss": 0.26141, "time": 0.50942} -{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16092, "decode.acc_seg": 75.35775, "aux.loss_seg": 0.0922, "aux.acc_seg": 73.57335, "loss": 0.25312, "time": 0.51347} -{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.16538, "decode.acc_seg": 76.47418, "aux.loss_seg": 0.09292, "aux.acc_seg": 74.75031, "loss": 0.2583, "time": 0.52262} -{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16781, "decode.acc_seg": 74.23183, "aux.loss_seg": 0.09638, "aux.acc_seg": 72.3064, "loss": 0.26419, "time": 0.52351} -{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.17014, "decode.acc_seg": 75.16027, "aux.loss_seg": 0.09528, "aux.acc_seg": 73.42228, "loss": 0.26542, "time": 0.51691} -{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.15627, "decode.acc_seg": 74.95083, "aux.loss_seg": 0.09001, "aux.acc_seg": 73.12062, "loss": 0.24628, "time": 0.51571} -{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.74077, "aux.loss_seg": 0.09979, "aux.acc_seg": 73.65615, "loss": 0.27469, "time": 0.51627} -{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.1628, "decode.acc_seg": 75.03674, "aux.loss_seg": 0.09144, "aux.acc_seg": 73.31586, "loss": 0.25424, "time": 0.51943} -{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 22404, "data_time": 0.0082, "decode.loss_seg": 0.1623, "decode.acc_seg": 73.82684, "aux.loss_seg": 0.09116, "aux.acc_seg": 72.1199, "loss": 0.25346, "time": 0.5213} -{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 22404, "data_time": 0.24827, "decode.loss_seg": 0.16427, "decode.acc_seg": 74.69868, "aux.loss_seg": 0.09173, "aux.acc_seg": 72.97569, "loss": 0.256, "time": 0.76343} -{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.1725, "decode.acc_seg": 75.47576, "aux.loss_seg": 0.09543, "aux.acc_seg": 73.77285, "loss": 0.26793, "time": 0.53419} -{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 22404, "data_time": 0.00742, "decode.loss_seg": 0.17332, "decode.acc_seg": 74.44762, "aux.loss_seg": 0.09937, "aux.acc_seg": 72.45366, "loss": 0.27269, "time": 0.52251} -{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 22404, "data_time": 0.00682, "decode.loss_seg": 0.17179, "decode.acc_seg": 74.60693, "aux.loss_seg": 0.09661, "aux.acc_seg": 72.78276, "loss": 0.2684, "time": 0.50807} -{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.16352, "decode.acc_seg": 74.44185, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.60715, "loss": 0.2571, "time": 0.51491} -{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 22404, "data_time": 0.00756, "decode.loss_seg": 0.17263, "decode.acc_seg": 74.93992, "aux.loss_seg": 0.09805, "aux.acc_seg": 73.05535, "loss": 0.27068, "time": 0.5366} -{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.16272, "decode.acc_seg": 73.26868, "aux.loss_seg": 0.09389, "aux.acc_seg": 71.36465, "loss": 0.2566, "time": 0.52509} -{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.15919, "decode.acc_seg": 75.69234, "aux.loss_seg": 0.09141, "aux.acc_seg": 73.85044, "loss": 0.2506, "time": 0.5416} -{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.17195, "decode.acc_seg": 76.01051, "aux.loss_seg": 0.09768, "aux.acc_seg": 74.08484, "loss": 0.26963, "time": 0.51924} -{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.16121, "decode.acc_seg": 75.25086, "aux.loss_seg": 0.09183, "aux.acc_seg": 73.45468, "loss": 0.25304, "time": 0.51681} -{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 22404, "data_time": 0.00677, "decode.loss_seg": 0.16341, "decode.acc_seg": 76.25321, "aux.loss_seg": 0.09483, "aux.acc_seg": 74.3193, "loss": 0.25823, "time": 0.53063} -{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15836, "decode.acc_seg": 76.18966, "aux.loss_seg": 0.09093, "aux.acc_seg": 74.32163, "loss": 0.24929, "time": 0.52126} -{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.15765, "decode.acc_seg": 75.09727, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.26736, "loss": 0.24805, "time": 0.51088} -{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17494, "decode.acc_seg": 76.9338, "aux.loss_seg": 0.09787, "aux.acc_seg": 75.09084, "loss": 0.27281, "time": 0.52421} -{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.15557, "decode.acc_seg": 74.52967, "aux.loss_seg": 0.08792, "aux.acc_seg": 72.76561, "loss": 0.24348, "time": 0.50688} -{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.77325, "aux.loss_seg": 0.10049, "aux.acc_seg": 73.95776, "loss": 0.27858, "time": 0.52379} -{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15949, "decode.acc_seg": 76.52713, "aux.loss_seg": 0.09099, "aux.acc_seg": 74.77144, "loss": 0.25049, "time": 0.51621} -{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.17245, "decode.acc_seg": 76.64137, "aux.loss_seg": 0.09732, "aux.acc_seg": 74.76356, "loss": 0.26977, "time": 0.51563} -{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.17241, "decode.acc_seg": 75.45392, "aux.loss_seg": 0.09758, "aux.acc_seg": 73.61456, "loss": 0.26999, "time": 0.54656} -{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.17624, "decode.acc_seg": 74.56933, "aux.loss_seg": 0.10104, "aux.acc_seg": 72.52416, "loss": 0.27728, "time": 0.51693} -{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.17787, "decode.acc_seg": 74.4273, "aux.loss_seg": 0.10257, "aux.acc_seg": 72.35452, "loss": 0.28044, "time": 0.51731} -{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.16184, "decode.acc_seg": 73.86276, "aux.loss_seg": 0.09241, "aux.acc_seg": 72.09027, "loss": 0.25425, "time": 0.54051} -{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 22404, "data_time": 0.00688, "decode.loss_seg": 0.17057, "decode.acc_seg": 73.72935, "aux.loss_seg": 0.09809, "aux.acc_seg": 71.8586, "loss": 0.26866, "time": 0.53812} -{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.16732, "decode.acc_seg": 75.23253, "aux.loss_seg": 0.09417, "aux.acc_seg": 73.4445, "loss": 0.26148, "time": 0.52619} -{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16649, "decode.acc_seg": 75.64286, "aux.loss_seg": 0.09254, "aux.acc_seg": 73.83368, "loss": 0.25903, "time": 0.51083} -{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 22404, "data_time": 0.24687, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.83384, "aux.loss_seg": 0.09528, "aux.acc_seg": 74.02819, "loss": 0.26366, "time": 0.74534} -{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.16684, "decode.acc_seg": 76.15095, "aux.loss_seg": 0.09472, "aux.acc_seg": 74.27184, "loss": 0.26156, "time": 0.51518} -{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.17144, "decode.acc_seg": 74.90673, "aux.loss_seg": 0.09582, "aux.acc_seg": 73.25217, "loss": 0.26726, "time": 0.51805} -{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16863, "decode.acc_seg": 74.82644, "aux.loss_seg": 0.09518, "aux.acc_seg": 72.97544, "loss": 0.26381, "time": 0.5165} -{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.16487, "decode.acc_seg": 75.81289, "aux.loss_seg": 0.09422, "aux.acc_seg": 73.85756, "loss": 0.2591, "time": 0.53931} -{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.1721, "decode.acc_seg": 76.56332, "aux.loss_seg": 0.09922, "aux.acc_seg": 74.46878, "loss": 0.27132, "time": 0.52477} -{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.15978, "decode.acc_seg": 75.42533, "aux.loss_seg": 0.09121, "aux.acc_seg": 73.70715, "loss": 0.25099, "time": 0.52521} -{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.17106, "decode.acc_seg": 76.27518, "aux.loss_seg": 0.09655, "aux.acc_seg": 74.51951, "loss": 0.26761, "time": 0.54569} -{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 22404, "data_time": 0.00804, "decode.loss_seg": 0.16051, "decode.acc_seg": 74.6707, "aux.loss_seg": 0.09273, "aux.acc_seg": 72.79582, "loss": 0.25324, "time": 0.53241} -{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.15943, "decode.acc_seg": 75.66779, "aux.loss_seg": 0.09172, "aux.acc_seg": 73.90678, "loss": 0.25115, "time": 0.53538} -{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.16227, "decode.acc_seg": 74.42935, "aux.loss_seg": 0.0936, "aux.acc_seg": 72.53074, "loss": 0.25587, "time": 0.51991} -{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.93289, "aux.loss_seg": 0.09481, "aux.acc_seg": 73.08547, "loss": 0.26215, "time": 0.52197} -{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.1553, "decode.acc_seg": 73.57416, "aux.loss_seg": 0.08842, "aux.acc_seg": 71.83056, "loss": 0.24372, "time": 0.51542} -{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.1671, "decode.acc_seg": 74.82964, "aux.loss_seg": 0.09532, "aux.acc_seg": 73.02359, "loss": 0.26242, "time": 0.53207} -{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.1623, "decode.acc_seg": 74.98335, "aux.loss_seg": 0.09228, "aux.acc_seg": 73.13599, "loss": 0.25457, "time": 0.52412} -{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.16754, "decode.acc_seg": 74.34113, "aux.loss_seg": 0.09338, "aux.acc_seg": 72.66172, "loss": 0.26092, "time": 0.53487} -{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.17557, "decode.acc_seg": 76.35671, "aux.loss_seg": 0.09836, "aux.acc_seg": 74.56677, "loss": 0.27393, "time": 0.51486} -{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16683, "decode.acc_seg": 74.71383, "aux.loss_seg": 0.09515, "aux.acc_seg": 72.79787, "loss": 0.26198, "time": 0.51006} -{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.16271, "decode.acc_seg": 75.85889, "aux.loss_seg": 0.09159, "aux.acc_seg": 74.07331, "loss": 0.2543, "time": 0.53818} -{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.16333, "decode.acc_seg": 74.89941, "aux.loss_seg": 0.09273, "aux.acc_seg": 73.03342, "loss": 0.25606, "time": 0.53787} -{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.16778, "decode.acc_seg": 75.58772, "aux.loss_seg": 0.0946, "aux.acc_seg": 73.77214, "loss": 0.26238, "time": 0.51824} -{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.1662, "decode.acc_seg": 76.1347, "aux.loss_seg": 0.09634, "aux.acc_seg": 74.19628, "loss": 0.26254, "time": 0.53532} -{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.16866, "decode.acc_seg": 74.38887, "aux.loss_seg": 0.09538, "aux.acc_seg": 72.59609, "loss": 0.26404, "time": 0.53911} -{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.1655, "decode.acc_seg": 75.5531, "aux.loss_seg": 0.096, "aux.acc_seg": 73.4886, "loss": 0.2615, "time": 0.51251} -{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16973, "decode.acc_seg": 75.55028, "aux.loss_seg": 0.09598, "aux.acc_seg": 73.73125, "loss": 0.26571, "time": 0.5171} -{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 22404, "data_time": 0.24905, "decode.loss_seg": 0.17107, "decode.acc_seg": 73.89384, "aux.loss_seg": 0.09897, "aux.acc_seg": 71.84668, "loss": 0.27004, "time": 0.76929} -{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.15836, "decode.acc_seg": 75.57476, "aux.loss_seg": 0.09065, "aux.acc_seg": 73.75131, "loss": 0.249, "time": 0.51789} -{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.1662, "decode.acc_seg": 76.0516, "aux.loss_seg": 0.09523, "aux.acc_seg": 74.2436, "loss": 0.26143, "time": 0.5189} -{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.17497, "decode.acc_seg": 75.1173, "aux.loss_seg": 0.09951, "aux.acc_seg": 73.14328, "loss": 0.27448, "time": 0.51045} -{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16921, "decode.acc_seg": 77.1746, "aux.loss_seg": 0.09796, "aux.acc_seg": 75.09952, "loss": 0.26718, "time": 0.52267} -{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.15933, "decode.acc_seg": 75.458, "aux.loss_seg": 0.09075, "aux.acc_seg": 73.59158, "loss": 0.25008, "time": 0.52884} -{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.16599, "decode.acc_seg": 75.29778, "aux.loss_seg": 0.09335, "aux.acc_seg": 73.54191, "loss": 0.25934, "time": 0.54035} -{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.16038, "decode.acc_seg": 74.8412, "aux.loss_seg": 0.09353, "aux.acc_seg": 72.84476, "loss": 0.25392, "time": 0.54563} -{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.15983, "decode.acc_seg": 75.25261, "aux.loss_seg": 0.09244, "aux.acc_seg": 73.34092, "loss": 0.25227, "time": 0.54562} -{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 22404, "data_time": 0.00746, "decode.loss_seg": 0.17467, "decode.acc_seg": 74.72185, "aux.loss_seg": 0.0998, "aux.acc_seg": 72.71314, "loss": 0.27447, "time": 0.53504} -{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.16123, "decode.acc_seg": 75.44131, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.64889, "loss": 0.25272, "time": 0.52845} -{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.16406, "decode.acc_seg": 75.22488, "aux.loss_seg": 0.09449, "aux.acc_seg": 73.30595, "loss": 0.25854, "time": 0.52468} -{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 22404, "data_time": 0.00752, "decode.loss_seg": 0.1608, "decode.acc_seg": 74.3953, "aux.loss_seg": 0.09146, "aux.acc_seg": 72.6038, "loss": 0.25226, "time": 0.53406} -{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16167, "decode.acc_seg": 74.78511, "aux.loss_seg": 0.09258, "aux.acc_seg": 72.89951, "loss": 0.25425, "time": 0.51575} -{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16198, "decode.acc_seg": 75.30216, "aux.loss_seg": 0.0912, "aux.acc_seg": 73.61724, "loss": 0.25318, "time": 0.51354} -{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 22404, "data_time": 0.00739, "decode.loss_seg": 0.15867, "decode.acc_seg": 75.42927, "aux.loss_seg": 0.09111, "aux.acc_seg": 73.46273, "loss": 0.24978, "time": 0.5106} -{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.16225, "decode.acc_seg": 75.38802, "aux.loss_seg": 0.09267, "aux.acc_seg": 73.58236, "loss": 0.25492, "time": 0.54627} -{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 22404, "data_time": 0.00799, "decode.loss_seg": 0.16764, "decode.acc_seg": 76.62149, "aux.loss_seg": 0.09631, "aux.acc_seg": 74.65567, "loss": 0.26395, "time": 0.53075} -{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.16763, "decode.acc_seg": 75.81247, "aux.loss_seg": 0.0958, "aux.acc_seg": 74.01254, "loss": 0.26343, "time": 0.5156} -{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.16933, "decode.acc_seg": 74.5325, "aux.loss_seg": 0.09548, "aux.acc_seg": 72.7125, "loss": 0.26481, "time": 0.52538} -{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.15868, "decode.acc_seg": 73.4444, "aux.loss_seg": 0.0912, "aux.acc_seg": 71.56703, "loss": 0.24987, "time": 0.50888} -{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16918, "decode.acc_seg": 75.48856, "aux.loss_seg": 0.09629, "aux.acc_seg": 73.64939, "loss": 0.26547, "time": 0.51656} -{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.17061, "decode.acc_seg": 74.7412, "aux.loss_seg": 0.09777, "aux.acc_seg": 72.7769, "loss": 0.26837, "time": 0.53386} -{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.17129, "decode.acc_seg": 75.90925, "aux.loss_seg": 0.09664, "aux.acc_seg": 74.20351, "loss": 0.26792, "time": 0.51635} -{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16661, "decode.acc_seg": 76.28379, "aux.loss_seg": 0.09564, "aux.acc_seg": 74.44353, "loss": 0.26225, "time": 0.54176} -{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 22404, "data_time": 0.00794, "decode.loss_seg": 0.16172, "decode.acc_seg": 76.01607, "aux.loss_seg": 0.09179, "aux.acc_seg": 74.29443, "loss": 0.25351, "time": 0.55143} -{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 22404, "data_time": 0.24563, "decode.loss_seg": 0.16429, "decode.acc_seg": 75.39572, "aux.loss_seg": 0.09509, "aux.acc_seg": 73.55353, "loss": 0.25939, "time": 0.77725} -{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.16951, "decode.acc_seg": 75.24746, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.41896, "loss": 0.26582, "time": 0.51238} -{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.16393, "decode.acc_seg": 75.012, "aux.loss_seg": 0.09297, "aux.acc_seg": 73.18586, "loss": 0.2569, "time": 0.52232} -{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 22404, "data_time": 0.00823, "decode.loss_seg": 0.16653, "decode.acc_seg": 75.53657, "aux.loss_seg": 0.09594, "aux.acc_seg": 73.63079, "loss": 0.26247, "time": 0.50799} -{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16855, "decode.acc_seg": 74.47611, "aux.loss_seg": 0.09547, "aux.acc_seg": 72.71417, "loss": 0.26402, "time": 0.52283} -{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16767, "decode.acc_seg": 75.58116, "aux.loss_seg": 0.09491, "aux.acc_seg": 73.69334, "loss": 0.26258, "time": 0.51736} -{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16493, "decode.acc_seg": 75.34483, "aux.loss_seg": 0.09655, "aux.acc_seg": 73.23736, "loss": 0.26149, "time": 0.52624} -{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16304, "decode.acc_seg": 74.84017, "aux.loss_seg": 0.09099, "aux.acc_seg": 73.21353, "loss": 0.25403, "time": 0.53145} -{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.17376, "decode.acc_seg": 76.26682, "aux.loss_seg": 0.0995, "aux.acc_seg": 74.28432, "loss": 0.27325, "time": 0.51429} -{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.16181, "decode.acc_seg": 74.34315, "aux.loss_seg": 0.09474, "aux.acc_seg": 72.31651, "loss": 0.25655, "time": 0.51924} -{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.16148, "decode.acc_seg": 74.83232, "aux.loss_seg": 0.09484, "aux.acc_seg": 72.86762, "loss": 0.25632, "time": 0.51837} -{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.1622, "decode.acc_seg": 76.40342, "aux.loss_seg": 0.09303, "aux.acc_seg": 74.5806, "loss": 0.25523, "time": 0.52629} -{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16469, "decode.acc_seg": 74.145, "aux.loss_seg": 0.094, "aux.acc_seg": 72.298, "loss": 0.25869, "time": 0.52605} -{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16026, "decode.acc_seg": 75.02292, "aux.loss_seg": 0.09194, "aux.acc_seg": 73.20462, "loss": 0.2522, "time": 0.50919} -{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.1595, "decode.acc_seg": 76.22357, "aux.loss_seg": 0.09083, "aux.acc_seg": 74.47675, "loss": 0.25033, "time": 0.51132} -{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16828, "decode.acc_seg": 76.05231, "aux.loss_seg": 0.09475, "aux.acc_seg": 74.22191, "loss": 0.26303, "time": 0.52474} -{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16099, "decode.acc_seg": 75.52209, "aux.loss_seg": 0.09122, "aux.acc_seg": 73.72167, "loss": 0.25221, "time": 0.51286} -{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16277, "decode.acc_seg": 75.99621, "aux.loss_seg": 0.09392, "aux.acc_seg": 73.99999, "loss": 0.2567, "time": 0.5144} -{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.1696, "decode.acc_seg": 74.95182, "aux.loss_seg": 0.09523, "aux.acc_seg": 73.05948, "loss": 0.26483, "time": 0.5092} -{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.1612, "decode.acc_seg": 75.06863, "aux.loss_seg": 0.09099, "aux.acc_seg": 73.34257, "loss": 0.25219, "time": 0.51232} -{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16142, "decode.acc_seg": 75.38399, "aux.loss_seg": 0.09091, "aux.acc_seg": 73.71018, "loss": 0.25233, "time": 0.55014} -{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.16409, "decode.acc_seg": 74.16192, "aux.loss_seg": 0.09378, "aux.acc_seg": 72.36215, "loss": 0.25787, "time": 0.54102} -{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.16091, "decode.acc_seg": 74.78869, "aux.loss_seg": 0.0931, "aux.acc_seg": 72.88053, "loss": 0.25401, "time": 0.5113} -{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16272, "decode.acc_seg": 75.23964, "aux.loss_seg": 0.09281, "aux.acc_seg": 73.49796, "loss": 0.25553, "time": 0.54122} -{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.17074, "decode.acc_seg": 75.92012, "aux.loss_seg": 0.09791, "aux.acc_seg": 73.98727, "loss": 0.26866, "time": 0.5336} -{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 22404, "data_time": 0.24718, "decode.loss_seg": 0.16009, "decode.acc_seg": 74.74543, "aux.loss_seg": 0.09233, "aux.acc_seg": 72.89843, "loss": 0.25242, "time": 0.75939} -{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16365, "decode.acc_seg": 74.3153, "aux.loss_seg": 0.09347, "aux.acc_seg": 72.51807, "loss": 0.25712, "time": 0.51123} -{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 22404, "data_time": 0.00771, "decode.loss_seg": 0.16498, "decode.acc_seg": 75.45711, "aux.loss_seg": 0.09522, "aux.acc_seg": 73.42751, "loss": 0.26019, "time": 0.51298} -{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.17063, "decode.acc_seg": 75.12189, "aux.loss_seg": 0.09643, "aux.acc_seg": 73.23165, "loss": 0.26706, "time": 0.51303} -{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.16558, "decode.acc_seg": 76.06028, "aux.loss_seg": 0.09547, "aux.acc_seg": 74.12605, "loss": 0.26105, "time": 0.51446} -{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.16798, "decode.acc_seg": 75.16472, "aux.loss_seg": 0.09578, "aux.acc_seg": 73.39659, "loss": 0.26376, "time": 0.51557} -{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16222, "decode.acc_seg": 75.4088, "aux.loss_seg": 0.09232, "aux.acc_seg": 73.57887, "loss": 0.25455, "time": 0.51628} -{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.16695, "decode.acc_seg": 76.93871, "aux.loss_seg": 0.09464, "aux.acc_seg": 75.1093, "loss": 0.26159, "time": 0.51764} -{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.16544, "decode.acc_seg": 75.69988, "aux.loss_seg": 0.09664, "aux.acc_seg": 73.67785, "loss": 0.26208, "time": 0.51947} -{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.16627, "decode.acc_seg": 75.96386, "aux.loss_seg": 0.09362, "aux.acc_seg": 74.2544, "loss": 0.25989, "time": 0.53649} -{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16025, "decode.acc_seg": 76.53942, "aux.loss_seg": 0.09008, "aux.acc_seg": 74.79927, "loss": 0.25033, "time": 0.51003} -{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16287, "decode.acc_seg": 75.69749, "aux.loss_seg": 0.09438, "aux.acc_seg": 73.69427, "loss": 0.25725, "time": 0.51931} -{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.16645, "decode.acc_seg": 74.02234, "aux.loss_seg": 0.09506, "aux.acc_seg": 72.31987, "loss": 0.26151, "time": 0.53572} -{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.15294, "decode.acc_seg": 74.27663, "aux.loss_seg": 0.08865, "aux.acc_seg": 72.48927, "loss": 0.24158, "time": 0.5102} -{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.16544, "decode.acc_seg": 75.65828, "aux.loss_seg": 0.09589, "aux.acc_seg": 73.69361, "loss": 0.26133, "time": 0.53668} -{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.1725, "decode.acc_seg": 75.24833, "aux.loss_seg": 0.09737, "aux.acc_seg": 73.3532, "loss": 0.26987, "time": 0.51837} -{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.16749, "decode.acc_seg": 76.27746, "aux.loss_seg": 0.09515, "aux.acc_seg": 74.45015, "loss": 0.26264, "time": 0.54059} -{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 22404, "data_time": 0.00743, "decode.loss_seg": 0.16965, "decode.acc_seg": 74.45081, "aux.loss_seg": 0.09689, "aux.acc_seg": 72.55215, "loss": 0.26654, "time": 0.5458} -{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.16221, "decode.acc_seg": 75.70175, "aux.loss_seg": 0.09339, "aux.acc_seg": 73.7366, "loss": 0.2556, "time": 0.52282} -{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16356, "decode.acc_seg": 75.44758, "aux.loss_seg": 0.09233, "aux.acc_seg": 73.69906, "loss": 0.25589, "time": 0.52116} -{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 22404, "data_time": 0.0076, "decode.loss_seg": 0.16117, "decode.acc_seg": 75.17262, "aux.loss_seg": 0.09301, "aux.acc_seg": 73.21951, "loss": 0.25418, "time": 0.53682} -{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.15982, "decode.acc_seg": 75.17994, "aux.loss_seg": 0.09008, "aux.acc_seg": 73.43711, "loss": 0.24989, "time": 0.51501} -{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.16176, "decode.acc_seg": 76.802, "aux.loss_seg": 0.09319, "aux.acc_seg": 74.97278, "loss": 0.25495, "time": 0.51364} -{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16276, "decode.acc_seg": 76.30528, "aux.loss_seg": 0.09439, "aux.acc_seg": 74.35261, "loss": 0.25714, "time": 0.5255} -{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16806, "decode.acc_seg": 75.87099, "aux.loss_seg": 0.0955, "aux.acc_seg": 74.03285, "loss": 0.26355, "time": 0.53645} -{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4749, "mAcc": 0.593, "aAcc": 0.8239, "IoU.wall": 0.7608, "IoU.building": 0.8097, "IoU.sky": 0.9382, "IoU.floor": 0.8105, "IoU.tree": 0.7413, "IoU.ceiling": 0.8384, "IoU.road": 0.8384, "IoU.bed ": 0.8849, "IoU.windowpane": 0.6014, "IoU.grass": 0.6634, "IoU.cabinet": 0.6029, "IoU.sidewalk": 0.6553, "IoU.person": 0.7779, "IoU.earth": 0.364, "IoU.door": 0.4785, "IoU.table": 0.5571, "IoU.mountain": 0.5646, "IoU.plant": 0.5183, "IoU.curtain": 0.7122, "IoU.chair": 0.5445, "IoU.car": 0.8327, "IoU.water": 0.5375, "IoU.painting": 0.7167, "IoU.sofa": 0.6083, "IoU.shelf": 0.4236, "IoU.house": 0.4387, "IoU.sea": 0.5933, "IoU.mirror": 0.6588, "IoU.rug": 0.5789, "IoU.field": 0.3068, "IoU.armchair": 0.3922, "IoU.seat": 0.622, "IoU.fence": 0.4562, "IoU.desk": 0.461, "IoU.rock": 0.4276, "IoU.wardrobe": 0.5035, "IoU.lamp": 0.6005, "IoU.bathtub": 0.7577, "IoU.railing": 0.3248, "IoU.cushion": 0.5375, "IoU.base": 0.3119, "IoU.box": 0.2744, "IoU.column": 0.3927, "IoU.signboard": 0.3741, "IoU.chest of drawers": 0.3979, "IoU.counter": 0.2486, "IoU.sand": 0.5219, "IoU.sink": 0.6952, "IoU.skyscraper": 0.629, "IoU.fireplace": NaN, "IoU.refrigerator": 0.751, "IoU.grandstand": 0.42, "IoU.path": 0.2878, "IoU.stairs": 0.3141, "IoU.runway": 0.6746, "IoU.case": 0.5106, "IoU.pool table": 0.9099, "IoU.pillow": 0.5432, "IoU.screen door": 0.7132, "IoU.stairway": 0.3493, "IoU.river": 0.1606, "IoU.bridge": 0.6249, "IoU.bookcase": 0.4054, "IoU.blind": NaN, "IoU.coffee table": 0.5033, "IoU.toilet": 0.8272, "IoU.flower": 0.43, "IoU.book": 0.4445, "IoU.hill": 0.0559, "IoU.bench": 0.5032, "IoU.countertop": 0.4958, "IoU.stove": 0.6933, "IoU.palm": 0.4796, "IoU.kitchen island": 0.3314, "IoU.computer": 0.7084, "IoU.swivel chair": 0.4516, "IoU.boat": 0.4224, "IoU.bar": 0.2263, "IoU.arcade machine": 0.6062, "IoU.hovel": 0.3926, "IoU.bus": 0.8635, "IoU.towel": 0.591, "IoU.light": 0.5292, "IoU.truck": 0.3462, "IoU.tower": 0.1153, "IoU.chandelier": 0.6443, "IoU.awning": 0.2696, "IoU.streetlight": 0.2148, "IoU.booth": 0.5609, "IoU.television receiver": NaN, "IoU.airplane": 0.6274, "IoU.dirt track": 0.1585, "IoU.apparel": 0.2605, "IoU.pole": 0.1709, "IoU.land": 0.0506, "IoU.bannister": 0.0981, "IoU.escalator": 0.3617, "IoU.ottoman": 0.3926, "IoU.bottle": NaN, "IoU.buffet": 0.4062, "IoU.poster": 0.2969, "IoU.stage": 0.1707, "IoU.van": 0.4116, "IoU.ship": 0.6174, "IoU.fountain": 0.2105, "IoU.conveyer belt": 0.7077, "IoU.canopy": 0.1054, "IoU.washer": 0.7609, "IoU.plaything": 0.255, "IoU.swimming pool": 0.5978, "IoU.stool": 0.3857, "IoU.barrel": 0.3428, "IoU.basket": 0.324, "IoU.waterfall": 0.5402, "IoU.tent": 0.913, "IoU.bag": 0.1128, "IoU.minibike": 0.7443, "IoU.cradle": NaN, "IoU.oven": 0.4512, "IoU.ball": 0.4051, "IoU.food": 0.3558, "IoU.step": 0.0851, "IoU.tank": 0.5071, "IoU.trade name": 0.2694, "IoU.microwave": 0.6796, "IoU.pot": 0.4992, "IoU.animal": NaN, "IoU.bicycle": 0.5353, "IoU.lake": 0.6164, "IoU.dishwasher": 0.5319, "IoU.screen": 0.6483, "IoU.blanket": 0.1495, "IoU.sculpture": 0.5586, "IoU.hood": 0.6315, "IoU.sconce": 0.4436, "IoU.vase": 0.3485, "IoU.traffic light": 0.2803, "IoU.tray": 0.0868, "IoU.ashcan": 0.3963, "IoU.fan": 0.5576, "IoU.pier": 0.3181, "IoU.crt screen": 0.0444, "IoU.plate": 0.5262, "IoU.monitor": 0.0216, "IoU.bulletin board": 0.3462, "IoU.shower": 0.025, "IoU.radiator": 0.5253, "IoU.glass": 0.1211, "IoU.clock": 0.3458, "IoU.flag": 0.3974, "Acc.wall": 0.8763, "Acc.building": 0.9086, "Acc.sky": 0.9718, "Acc.floor": 0.8996, "Acc.tree": 0.8727, "Acc.ceiling": 0.9256, "Acc.road": 0.903, "Acc.bed ": 0.9511, "Acc.windowpane": 0.787, "Acc.grass": 0.852, "Acc.cabinet": 0.7346, "Acc.sidewalk": 0.8188, "Acc.person": 0.9118, "Acc.earth": 0.4851, "Acc.door": 0.6091, "Acc.table": 0.7481, "Acc.mountain": 0.731, "Acc.plant": 0.6248, "Acc.curtain": 0.8397, "Acc.chair": 0.6924, "Acc.car": 0.9125, "Acc.water": 0.6729, "Acc.painting": 0.8647, "Acc.sofa": 0.7795, "Acc.shelf": 0.5514, "Acc.house": 0.6237, "Acc.sea": 0.8747, "Acc.mirror": 0.7892, "Acc.rug": 0.6888, "Acc.field": 0.492, "Acc.armchair": 0.5835, "Acc.seat": 0.8216, "Acc.fence": 0.6679, "Acc.desk": 0.6342, "Acc.rock": 0.6841, "Acc.wardrobe": 0.6261, "Acc.lamp": 0.7181, "Acc.bathtub": 0.8164, "Acc.railing": 0.4458, "Acc.cushion": 0.6902, "Acc.base": 0.4475, "Acc.box": 0.343, "Acc.column": 0.5241, "Acc.signboard": 0.514, "Acc.chest of drawers": 0.5771, "Acc.counter": 0.3011, "Acc.sand": 0.709, "Acc.sink": 0.78, "Acc.skyscraper": 0.789, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8644, "Acc.grandstand": 0.6373, "Acc.path": 0.4202, "Acc.stairs": 0.3775, "Acc.runway": 0.8774, "Acc.case": 0.6993, "Acc.pool table": 0.9606, "Acc.pillow": 0.6571, "Acc.screen door": 0.7761, "Acc.stairway": 0.4114, "Acc.river": 0.2824, "Acc.bridge": 0.702, "Acc.bookcase": 0.4759, "Acc.blind": NaN, "Acc.coffee table": 0.7968, "Acc.toilet": 0.8828, "Acc.flower": 0.59, "Acc.book": 0.6299, "Acc.hill": 0.0722, "Acc.bench": 0.5787, "Acc.countertop": 0.7111, "Acc.stove": 0.7851, "Acc.palm": 0.6925, "Acc.kitchen island": 0.6765, "Acc.computer": 0.8571, "Acc.swivel chair": 0.6716, "Acc.boat": 0.506, "Acc.bar": 0.2864, "Acc.arcade machine": 0.6353, "Acc.hovel": 0.4511, "Acc.bus": 0.9545, "Acc.towel": 0.7097, "Acc.light": 0.5985, "Acc.truck": 0.4943, "Acc.tower": 0.1972, "Acc.chandelier": 0.8472, "Acc.awning": 0.3351, "Acc.streetlight": 0.2886, "Acc.booth": 0.6647, "Acc.television receiver": NaN, "Acc.airplane": 0.7186, "Acc.dirt track": 0.2227, "Acc.apparel": 0.41, "Acc.pole": 0.2435, "Acc.land": 0.0635, "Acc.bannister": 0.1262, "Acc.escalator": 0.4583, "Acc.ottoman": 0.5235, "Acc.bottle": NaN, "Acc.buffet": 0.4611, "Acc.poster": 0.423, "Acc.stage": 0.2559, "Acc.van": 0.5848, "Acc.ship": 0.8996, "Acc.fountain": 0.2159, "Acc.conveyer belt": 0.8589, "Acc.canopy": 0.1607, "Acc.washer": 0.7814, "Acc.plaything": 0.3701, "Acc.swimming pool": 0.8127, "Acc.stool": 0.4505, "Acc.barrel": 0.708, "Acc.basket": 0.3979, "Acc.waterfall": 0.6194, "Acc.tent": 0.9866, "Acc.bag": 0.13, "Acc.minibike": 0.855, "Acc.cradle": NaN, "Acc.oven": 0.543, "Acc.ball": 0.446, "Acc.food": 0.415, "Acc.step": 0.0937, "Acc.tank": 0.5756, "Acc.trade name": 0.3172, "Acc.microwave": 0.7693, "Acc.pot": 0.5575, "Acc.animal": NaN, "Acc.bicycle": 0.7696, "Acc.lake": 0.6251, "Acc.dishwasher": 0.6803, "Acc.screen": 0.8807, "Acc.blanket": 0.1749, "Acc.sculpture": 0.7574, "Acc.hood": 0.6914, "Acc.sconce": 0.558, "Acc.vase": 0.4926, "Acc.traffic light": 0.4059, "Acc.tray": 0.1543, "Acc.ashcan": 0.5207, "Acc.fan": 0.7135, "Acc.pier": 0.4801, "Acc.crt screen": 0.1187, "Acc.plate": 0.6905, "Acc.monitor": 0.0234, "Acc.bulletin board": 0.4647, "Acc.shower": 0.0441, "Acc.radiator": 0.5916, "Acc.glass": 0.1298, "Acc.clock": 0.3981, "Acc.flag": 0.453} -{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 22404, "data_time": 1.56369, "decode.loss_seg": 0.1608, "decode.acc_seg": 74.93282, "aux.loss_seg": 0.09271, "aux.acc_seg": 73.07867, "loss": 0.25351, "time": 2.09457} -{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 22404, "data_time": 0.00676, "decode.loss_seg": 0.16648, "decode.acc_seg": 75.91016, "aux.loss_seg": 0.09611, "aux.acc_seg": 73.90643, "loss": 0.2626, "time": 0.51407} -{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.16297, "decode.acc_seg": 74.80225, "aux.loss_seg": 0.09318, "aux.acc_seg": 72.93063, "loss": 0.25615, "time": 0.51254} -{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.1542, "decode.acc_seg": 77.00887, "aux.loss_seg": 0.08971, "aux.acc_seg": 75.14143, "loss": 0.24391, "time": 0.51449} -{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 22404, "data_time": 0.00653, "decode.loss_seg": 0.16087, "decode.acc_seg": 73.62614, "aux.loss_seg": 0.09224, "aux.acc_seg": 71.83509, "loss": 0.25311, "time": 0.51144} -{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.15841, "decode.acc_seg": 75.05434, "aux.loss_seg": 0.09285, "aux.acc_seg": 73.09076, "loss": 0.25126, "time": 0.51095} -{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.16586, "decode.acc_seg": 74.5913, "aux.loss_seg": 0.09489, "aux.acc_seg": 72.7859, "loss": 0.26074, "time": 0.5144} -{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 22404, "data_time": 0.0065, "decode.loss_seg": 0.16765, "decode.acc_seg": 76.59814, "aux.loss_seg": 0.09732, "aux.acc_seg": 74.55395, "loss": 0.26497, "time": 0.51997} -{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 22404, "data_time": 0.00673, "decode.loss_seg": 0.16142, "decode.acc_seg": 75.35367, "aux.loss_seg": 0.09231, "aux.acc_seg": 73.50129, "loss": 0.25374, "time": 0.51301} -{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.15762, "decode.acc_seg": 74.3262, "aux.loss_seg": 0.0897, "aux.acc_seg": 72.4558, "loss": 0.24732, "time": 0.51596} -{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 22404, "data_time": 0.00686, "decode.loss_seg": 0.17328, "decode.acc_seg": 74.27137, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.20425, "loss": 0.27282, "time": 0.51235} -{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.16714, "decode.acc_seg": 75.52144, "aux.loss_seg": 0.09422, "aux.acc_seg": 73.63578, "loss": 0.26136, "time": 0.52647} -{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 22404, "data_time": 0.00655, "decode.loss_seg": 0.15925, "decode.acc_seg": 75.8647, "aux.loss_seg": 0.09001, "aux.acc_seg": 74.12667, "loss": 0.24926, "time": 0.53032} -{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16353, "decode.acc_seg": 75.14295, "aux.loss_seg": 0.0947, "aux.acc_seg": 73.16936, "loss": 0.25823, "time": 0.51869} -{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 22404, "data_time": 0.00665, "decode.loss_seg": 0.16512, "decode.acc_seg": 75.21644, "aux.loss_seg": 0.0931, "aux.acc_seg": 73.4792, "loss": 0.25822, "time": 0.50982} -{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.16427, "decode.acc_seg": 76.39957, "aux.loss_seg": 0.09477, "aux.acc_seg": 74.54212, "loss": 0.25904, "time": 0.50633} -{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 22404, "data_time": 0.00645, "decode.loss_seg": 0.16417, "decode.acc_seg": 75.27521, "aux.loss_seg": 0.09367, "aux.acc_seg": 73.47245, "loss": 0.25783, "time": 0.52816} -{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.17212, "decode.acc_seg": 75.87635, "aux.loss_seg": 0.09686, "aux.acc_seg": 74.02285, "loss": 0.26898, "time": 0.52619} -{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.16565, "decode.acc_seg": 76.1725, "aux.loss_seg": 0.09343, "aux.acc_seg": 74.29867, "loss": 0.25909, "time": 0.5124} -{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.15972, "decode.acc_seg": 74.36729, "aux.loss_seg": 0.08876, "aux.acc_seg": 72.76153, "loss": 0.24848, "time": 0.53126} -{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.17042, "decode.acc_seg": 76.80925, "aux.loss_seg": 0.09784, "aux.acc_seg": 74.91856, "loss": 0.26826, "time": 0.51817} -{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 22404, "data_time": 0.00625, "decode.loss_seg": 0.16649, "decode.acc_seg": 75.84883, "aux.loss_seg": 0.09676, "aux.acc_seg": 73.77211, "loss": 0.26325, "time": 0.51206} -{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.16752, "decode.acc_seg": 76.27351, "aux.loss_seg": 0.09748, "aux.acc_seg": 74.21284, "loss": 0.265, "time": 0.51133} -{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 22404, "data_time": 0.00648, "decode.loss_seg": 0.16634, "decode.acc_seg": 75.99031, "aux.loss_seg": 0.09453, "aux.acc_seg": 74.13749, "loss": 0.26087, "time": 0.53236} -{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 22404, "data_time": 0.24421, "decode.loss_seg": 0.16521, "decode.acc_seg": 75.38412, "aux.loss_seg": 0.0953, "aux.acc_seg": 73.47448, "loss": 0.26051, "time": 0.78275} -{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.16418, "decode.acc_seg": 75.82127, "aux.loss_seg": 0.09515, "aux.acc_seg": 73.89814, "loss": 0.25933, "time": 0.51582} -{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 22404, "data_time": 0.00633, "decode.loss_seg": 0.16641, "decode.acc_seg": 75.77493, "aux.loss_seg": 0.09605, "aux.acc_seg": 73.77125, "loss": 0.26246, "time": 0.53057} -{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 22404, "data_time": 0.00672, "decode.loss_seg": 0.16692, "decode.acc_seg": 76.104, "aux.loss_seg": 0.09442, "aux.acc_seg": 74.29216, "loss": 0.26134, "time": 0.51555} -{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 22404, "data_time": 0.00652, "decode.loss_seg": 0.16636, "decode.acc_seg": 75.13599, "aux.loss_seg": 0.09641, "aux.acc_seg": 73.22624, "loss": 0.26277, "time": 0.51478} -{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 22404, "data_time": 0.00636, "decode.loss_seg": 0.16124, "decode.acc_seg": 75.46313, "aux.loss_seg": 0.09302, "aux.acc_seg": 73.57748, "loss": 0.25426, "time": 0.51483} -{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.16188, "decode.acc_seg": 73.324, "aux.loss_seg": 0.09453, "aux.acc_seg": 71.42971, "loss": 0.25641, "time": 0.52494} -{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16319, "decode.acc_seg": 76.1598, "aux.loss_seg": 0.09339, "aux.acc_seg": 74.36307, "loss": 0.25659, "time": 0.52636} -{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.15885, "decode.acc_seg": 74.6633, "aux.loss_seg": 0.09278, "aux.acc_seg": 72.753, "loss": 0.25163, "time": 0.54085} -{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.15761, "decode.acc_seg": 74.73357, "aux.loss_seg": 0.09096, "aux.acc_seg": 72.9061, "loss": 0.24857, "time": 0.5117} -{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16857, "decode.acc_seg": 75.39745, "aux.loss_seg": 0.09515, "aux.acc_seg": 73.53952, "loss": 0.26372, "time": 0.51013} -{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.15908, "decode.acc_seg": 75.66673, "aux.loss_seg": 0.0906, "aux.acc_seg": 73.95692, "loss": 0.24968, "time": 0.53355} -{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.16473, "decode.acc_seg": 75.36626, "aux.loss_seg": 0.09189, "aux.acc_seg": 73.6562, "loss": 0.25662, "time": 0.5466} -{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 22404, "data_time": 0.00678, "decode.loss_seg": 0.16215, "decode.acc_seg": 75.05619, "aux.loss_seg": 0.09323, "aux.acc_seg": 73.12558, "loss": 0.25538, "time": 0.54073} -{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16355, "decode.acc_seg": 76.00758, "aux.loss_seg": 0.09642, "aux.acc_seg": 73.87821, "loss": 0.25998, "time": 0.53474} -{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16598, "decode.acc_seg": 74.99825, "aux.loss_seg": 0.09629, "aux.acc_seg": 73.06999, "loss": 0.26227, "time": 0.51956} -{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 22404, "data_time": 0.00658, "decode.loss_seg": 0.15693, "decode.acc_seg": 75.18379, "aux.loss_seg": 0.09087, "aux.acc_seg": 73.22882, "loss": 0.24781, "time": 0.5141} -{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 22404, "data_time": 0.00642, "decode.loss_seg": 0.16639, "decode.acc_seg": 75.044, "aux.loss_seg": 0.0975, "aux.acc_seg": 73.02816, "loss": 0.26389, "time": 0.52088} -{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 22404, "data_time": 0.0068, "decode.loss_seg": 0.1682, "decode.acc_seg": 75.45077, "aux.loss_seg": 0.09686, "aux.acc_seg": 73.45026, "loss": 0.26506, "time": 0.51164} -{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.15612, "decode.acc_seg": 74.88108, "aux.loss_seg": 0.09148, "aux.acc_seg": 72.99053, "loss": 0.24761, "time": 0.51559} -{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 22404, "data_time": 0.00637, "decode.loss_seg": 0.16784, "decode.acc_seg": 74.66059, "aux.loss_seg": 0.09645, "aux.acc_seg": 72.80798, "loss": 0.26429, "time": 0.51392} -{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 22404, "data_time": 0.00651, "decode.loss_seg": 0.16254, "decode.acc_seg": 74.92646, "aux.loss_seg": 0.09229, "aux.acc_seg": 73.09981, "loss": 0.25484, "time": 0.51412} -{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 22404, "data_time": 0.00657, "decode.loss_seg": 0.16115, "decode.acc_seg": 77.0249, "aux.loss_seg": 0.09271, "aux.acc_seg": 75.09529, "loss": 0.25386, "time": 0.51191} -{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15572, "decode.acc_seg": 74.0949, "aux.loss_seg": 0.08898, "aux.acc_seg": 72.41629, "loss": 0.2447, "time": 0.51319} -{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16752, "decode.acc_seg": 75.52023, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.56193, "loss": 0.26519, "time": 0.5315} -{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.16643, "decode.acc_seg": 75.48548, "aux.loss_seg": 0.09316, "aux.acc_seg": 73.64275, "loss": 0.25959, "time": 0.51183} -{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 22404, "data_time": 0.24689, "decode.loss_seg": 0.16991, "decode.acc_seg": 76.57033, "aux.loss_seg": 0.09481, "aux.acc_seg": 74.78192, "loss": 0.26472, "time": 0.76715} -{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.16284, "decode.acc_seg": 75.29229, "aux.loss_seg": 0.0926, "aux.acc_seg": 73.50716, "loss": 0.25544, "time": 0.53255} -{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.15999, "decode.acc_seg": 76.34806, "aux.loss_seg": 0.09189, "aux.acc_seg": 74.57182, "loss": 0.25189, "time": 0.51732} -{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16452, "decode.acc_seg": 75.6897, "aux.loss_seg": 0.09545, "aux.acc_seg": 73.76027, "loss": 0.25997, "time": 0.53778} -{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 22404, "data_time": 0.00656, "decode.loss_seg": 0.16201, "decode.acc_seg": 75.95154, "aux.loss_seg": 0.09544, "aux.acc_seg": 73.93014, "loss": 0.25745, "time": 0.51446} -{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 22404, "data_time": 0.00666, "decode.loss_seg": 0.16778, "decode.acc_seg": 75.04649, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.22338, "loss": 0.26398, "time": 0.5157} -{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.16297, "decode.acc_seg": 73.63624, "aux.loss_seg": 0.09226, "aux.acc_seg": 71.8113, "loss": 0.25523, "time": 0.52053} -{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16643, "decode.acc_seg": 75.82853, "aux.loss_seg": 0.09614, "aux.acc_seg": 73.87272, "loss": 0.26257, "time": 0.52158} -{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 22404, "data_time": 0.00664, "decode.loss_seg": 0.15638, "decode.acc_seg": 75.78727, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.86982, "loss": 0.24762, "time": 0.51361} -{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15579, "decode.acc_seg": 75.15329, "aux.loss_seg": 0.09101, "aux.acc_seg": 73.249, "loss": 0.2468, "time": 0.53552} -{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.15522, "decode.acc_seg": 74.8041, "aux.loss_seg": 0.08919, "aux.acc_seg": 73.0103, "loss": 0.24441, "time": 0.51558} -{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.14955, "decode.acc_seg": 76.45934, "aux.loss_seg": 0.08914, "aux.acc_seg": 74.49246, "loss": 0.23869, "time": 0.53203} -{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.15922, "decode.acc_seg": 75.34423, "aux.loss_seg": 0.09059, "aux.acc_seg": 73.52253, "loss": 0.24981, "time": 0.50818} -{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.16436, "decode.acc_seg": 74.57108, "aux.loss_seg": 0.09481, "aux.acc_seg": 72.65699, "loss": 0.25917, "time": 0.50878} -{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 22404, "data_time": 0.0073, "decode.loss_seg": 0.16155, "decode.acc_seg": 75.92657, "aux.loss_seg": 0.09357, "aux.acc_seg": 74.01499, "loss": 0.25512, "time": 0.51384} -{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.16123, "decode.acc_seg": 76.06291, "aux.loss_seg": 0.09461, "aux.acc_seg": 74.07809, "loss": 0.25583, "time": 0.51357} -{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16794, "decode.acc_seg": 75.36785, "aux.loss_seg": 0.09659, "aux.acc_seg": 73.46263, "loss": 0.26453, "time": 0.513} -{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.16057, "decode.acc_seg": 75.27014, "aux.loss_seg": 0.09114, "aux.acc_seg": 73.50515, "loss": 0.25171, "time": 0.52913} -{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 22404, "data_time": 0.00811, "decode.loss_seg": 0.15987, "decode.acc_seg": 73.88045, "aux.loss_seg": 0.09241, "aux.acc_seg": 71.96439, "loss": 0.25229, "time": 0.52047} -{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.1538, "decode.acc_seg": 74.98928, "aux.loss_seg": 0.09021, "aux.acc_seg": 73.05638, "loss": 0.24401, "time": 0.51855} -{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.17643, "decode.acc_seg": 74.89776, "aux.loss_seg": 0.09991, "aux.acc_seg": 72.97814, "loss": 0.27634, "time": 0.51262} -{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.16555, "decode.acc_seg": 74.78256, "aux.loss_seg": 0.09387, "aux.acc_seg": 72.93984, "loss": 0.25942, "time": 0.51306} -{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 22404, "data_time": 0.00737, "decode.loss_seg": 0.16256, "decode.acc_seg": 75.30203, "aux.loss_seg": 0.09315, "aux.acc_seg": 73.47776, "loss": 0.25571, "time": 0.51998} -{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 22404, "data_time": 0.0082, "decode.loss_seg": 0.16652, "decode.acc_seg": 74.95205, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.02868, "loss": 0.26193, "time": 0.54901} -{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 22404, "data_time": 0.00801, "decode.loss_seg": 0.15963, "decode.acc_seg": 76.19146, "aux.loss_seg": 0.09125, "aux.acc_seg": 74.41038, "loss": 0.25088, "time": 0.51284} -{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 22404, "data_time": 0.25258, "decode.loss_seg": 0.15557, "decode.acc_seg": 76.45396, "aux.loss_seg": 0.08881, "aux.acc_seg": 74.68776, "loss": 0.24439, "time": 0.75554} -{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.15689, "decode.acc_seg": 74.85678, "aux.loss_seg": 0.0905, "aux.acc_seg": 72.99917, "loss": 0.24738, "time": 0.51708} -{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.15798, "decode.acc_seg": 74.49369, "aux.loss_seg": 0.08969, "aux.acc_seg": 72.73741, "loss": 0.24767, "time": 0.53346} -{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 22404, "data_time": 0.00727, "decode.loss_seg": 0.15868, "decode.acc_seg": 74.77924, "aux.loss_seg": 0.09145, "aux.acc_seg": 72.89525, "loss": 0.25013, "time": 0.51868} -{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 22404, "data_time": 0.00729, "decode.loss_seg": 0.16043, "decode.acc_seg": 74.67383, "aux.loss_seg": 0.09136, "aux.acc_seg": 72.80189, "loss": 0.25179, "time": 0.51595} -{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.16859, "decode.acc_seg": 75.22557, "aux.loss_seg": 0.09546, "aux.acc_seg": 73.30306, "loss": 0.26405, "time": 0.53477} -{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.16554, "decode.acc_seg": 75.36856, "aux.loss_seg": 0.09203, "aux.acc_seg": 73.68074, "loss": 0.25757, "time": 0.53552} -{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16024, "decode.acc_seg": 75.69143, "aux.loss_seg": 0.09157, "aux.acc_seg": 73.87137, "loss": 0.25182, "time": 0.51393} -{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16218, "decode.acc_seg": 74.35025, "aux.loss_seg": 0.09519, "aux.acc_seg": 72.34545, "loss": 0.25737, "time": 0.53271} -{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.16065, "decode.acc_seg": 76.68961, "aux.loss_seg": 0.09206, "aux.acc_seg": 74.73324, "loss": 0.2527, "time": 0.53402} -{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 22404, "data_time": 0.00753, "decode.loss_seg": 0.16322, "decode.acc_seg": 74.29376, "aux.loss_seg": 0.09454, "aux.acc_seg": 72.32086, "loss": 0.25776, "time": 0.51857} -{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.16866, "decode.acc_seg": 75.44659, "aux.loss_seg": 0.09886, "aux.acc_seg": 73.35516, "loss": 0.26752, "time": 0.53107} -{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.15221, "decode.acc_seg": 74.7743, "aux.loss_seg": 0.08839, "aux.acc_seg": 72.90043, "loss": 0.2406, "time": 0.5194} -{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.15908, "decode.acc_seg": 76.23161, "aux.loss_seg": 0.0909, "aux.acc_seg": 74.43339, "loss": 0.24997, "time": 0.52497} -{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15753, "decode.acc_seg": 75.69218, "aux.loss_seg": 0.09229, "aux.acc_seg": 73.74212, "loss": 0.24982, "time": 0.5143} -{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 22404, "data_time": 0.00819, "decode.loss_seg": 0.15854, "decode.acc_seg": 75.62213, "aux.loss_seg": 0.09244, "aux.acc_seg": 73.79, "loss": 0.25098, "time": 0.54056} -{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.15879, "decode.acc_seg": 75.38869, "aux.loss_seg": 0.09076, "aux.acc_seg": 73.6037, "loss": 0.24955, "time": 0.52015} -{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.16676, "decode.acc_seg": 75.77149, "aux.loss_seg": 0.0974, "aux.acc_seg": 73.67036, "loss": 0.26416, "time": 0.51501} -{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.15422, "decode.acc_seg": 75.36599, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.39614, "loss": 0.24548, "time": 0.51478} -{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16386, "decode.acc_seg": 73.92561, "aux.loss_seg": 0.09515, "aux.acc_seg": 72.0609, "loss": 0.25901, "time": 0.51861} -{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.16496, "decode.acc_seg": 74.84642, "aux.loss_seg": 0.09307, "aux.acc_seg": 73.1036, "loss": 0.25803, "time": 0.51441} -{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16167, "decode.acc_seg": 74.07167, "aux.loss_seg": 0.09433, "aux.acc_seg": 72.05085, "loss": 0.25601, "time": 0.52286} -{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16201, "decode.acc_seg": 76.95119, "aux.loss_seg": 0.09585, "aux.acc_seg": 74.85449, "loss": 0.25786, "time": 0.52732} -{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16741, "decode.acc_seg": 75.51368, "aux.loss_seg": 0.09519, "aux.acc_seg": 73.66302, "loss": 0.2626, "time": 0.53915} -{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.16757, "decode.acc_seg": 75.77709, "aux.loss_seg": 0.09653, "aux.acc_seg": 73.79394, "loss": 0.2641, "time": 0.52226} -{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 22404, "data_time": 0.25129, "decode.loss_seg": 0.16505, "decode.acc_seg": 74.63546, "aux.loss_seg": 0.09458, "aux.acc_seg": 72.76952, "loss": 0.25963, "time": 0.75984} -{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16075, "decode.acc_seg": 75.57919, "aux.loss_seg": 0.09326, "aux.acc_seg": 73.59749, "loss": 0.25401, "time": 0.51824} -{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.15387, "decode.acc_seg": 75.69213, "aux.loss_seg": 0.08872, "aux.acc_seg": 73.81518, "loss": 0.24259, "time": 0.52765} -{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.16081, "decode.acc_seg": 76.00101, "aux.loss_seg": 0.09044, "aux.acc_seg": 74.24181, "loss": 0.25125, "time": 0.54281} -{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15745, "decode.acc_seg": 75.30126, "aux.loss_seg": 0.09195, "aux.acc_seg": 73.37178, "loss": 0.2494, "time": 0.53385} -{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16055, "decode.acc_seg": 74.67777, "aux.loss_seg": 0.09254, "aux.acc_seg": 72.77269, "loss": 0.25309, "time": 0.51619} -{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.16257, "decode.acc_seg": 74.64726, "aux.loss_seg": 0.09347, "aux.acc_seg": 72.82128, "loss": 0.25603, "time": 0.51738} -{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 22404, "data_time": 0.00736, "decode.loss_seg": 0.15138, "decode.acc_seg": 74.43919, "aux.loss_seg": 0.08902, "aux.acc_seg": 72.46246, "loss": 0.24039, "time": 0.51945} -{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16188, "decode.acc_seg": 74.59707, "aux.loss_seg": 0.09316, "aux.acc_seg": 72.62906, "loss": 0.25504, "time": 0.52796} -{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 22404, "data_time": 0.00772, "decode.loss_seg": 0.16037, "decode.acc_seg": 75.83118, "aux.loss_seg": 0.09116, "aux.acc_seg": 74.04192, "loss": 0.25153, "time": 0.52083} -{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.15979, "decode.acc_seg": 75.32525, "aux.loss_seg": 0.09374, "aux.acc_seg": 73.41549, "loss": 0.25353, "time": 0.51734} -{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.15489, "decode.acc_seg": 75.04028, "aux.loss_seg": 0.0888, "aux.acc_seg": 73.30435, "loss": 0.24368, "time": 0.53712} -{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 22404, "data_time": 0.00769, "decode.loss_seg": 0.16523, "decode.acc_seg": 75.41137, "aux.loss_seg": 0.09427, "aux.acc_seg": 73.58104, "loss": 0.2595, "time": 0.54334} -{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 22404, "data_time": 0.00789, "decode.loss_seg": 0.16999, "decode.acc_seg": 75.9847, "aux.loss_seg": 0.0976, "aux.acc_seg": 74.00944, "loss": 0.26759, "time": 0.51737} -{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16099, "decode.acc_seg": 75.346, "aux.loss_seg": 0.09434, "aux.acc_seg": 73.42682, "loss": 0.25533, "time": 0.52133} -{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.16021, "decode.acc_seg": 75.66626, "aux.loss_seg": 0.09165, "aux.acc_seg": 73.96177, "loss": 0.25186, "time": 0.51718} -{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 22404, "data_time": 0.00777, "decode.loss_seg": 0.1582, "decode.acc_seg": 74.0347, "aux.loss_seg": 0.09331, "aux.acc_seg": 72.08102, "loss": 0.25151, "time": 0.52328} -{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.1586, "decode.acc_seg": 76.0664, "aux.loss_seg": 0.09214, "aux.acc_seg": 74.2705, "loss": 0.25075, "time": 0.53301} -{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.1581, "decode.acc_seg": 76.35129, "aux.loss_seg": 0.09083, "aux.acc_seg": 74.49565, "loss": 0.24893, "time": 0.51647} -{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.16249, "decode.acc_seg": 76.61885, "aux.loss_seg": 0.09379, "aux.acc_seg": 74.73015, "loss": 0.25628, "time": 0.51587} -{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.16363, "decode.acc_seg": 75.73414, "aux.loss_seg": 0.09296, "aux.acc_seg": 73.91264, "loss": 0.2566, "time": 0.51722} -{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.16513, "decode.acc_seg": 74.74985, "aux.loss_seg": 0.09707, "aux.acc_seg": 72.79613, "loss": 0.2622, "time": 0.52542} -{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.16053, "decode.acc_seg": 76.84338, "aux.loss_seg": 0.09233, "aux.acc_seg": 75.07686, "loss": 0.25286, "time": 0.51594} -{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.16689, "decode.acc_seg": 74.35134, "aux.loss_seg": 0.09551, "aux.acc_seg": 72.3987, "loss": 0.2624, "time": 0.52829} -{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 22404, "data_time": 0.00807, "decode.loss_seg": 0.15878, "decode.acc_seg": 75.96953, "aux.loss_seg": 0.09071, "aux.acc_seg": 74.19554, "loss": 0.24949, "time": 0.52183} -{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 22404, "data_time": 0.25533, "decode.loss_seg": 0.16243, "decode.acc_seg": 75.36184, "aux.loss_seg": 0.0934, "aux.acc_seg": 73.51693, "loss": 0.25583, "time": 0.75861} -{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16776, "decode.acc_seg": 76.81145, "aux.loss_seg": 0.0964, "aux.acc_seg": 74.82386, "loss": 0.26416, "time": 0.51306} -{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 22404, "data_time": 0.00726, "decode.loss_seg": 0.15751, "decode.acc_seg": 75.42762, "aux.loss_seg": 0.09156, "aux.acc_seg": 73.51494, "loss": 0.24907, "time": 0.51449} -{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.16294, "decode.acc_seg": 75.83458, "aux.loss_seg": 0.09172, "aux.acc_seg": 74.10036, "loss": 0.25467, "time": 0.52624} -{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.15961, "decode.acc_seg": 76.28401, "aux.loss_seg": 0.09242, "aux.acc_seg": 74.43752, "loss": 0.25203, "time": 0.526} -{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 22404, "data_time": 0.00802, "decode.loss_seg": 0.1563, "decode.acc_seg": 76.4734, "aux.loss_seg": 0.08991, "aux.acc_seg": 74.69541, "loss": 0.24621, "time": 0.52275} -{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.15643, "decode.acc_seg": 76.07828, "aux.loss_seg": 0.09129, "aux.acc_seg": 74.22176, "loss": 0.24772, "time": 0.51684} -{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1583, "decode.acc_seg": 75.21037, "aux.loss_seg": 0.09096, "aux.acc_seg": 73.41297, "loss": 0.24926, "time": 0.52374} -{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 22404, "data_time": 0.00792, "decode.loss_seg": 0.16087, "decode.acc_seg": 76.17548, "aux.loss_seg": 0.09284, "aux.acc_seg": 74.3587, "loss": 0.25371, "time": 0.5365} -{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.16707, "decode.acc_seg": 75.84949, "aux.loss_seg": 0.09585, "aux.acc_seg": 73.93107, "loss": 0.26292, "time": 0.52955} -{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.14835, "decode.acc_seg": 74.33245, "aux.loss_seg": 0.08589, "aux.acc_seg": 72.58048, "loss": 0.23423, "time": 0.5309} -{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.15182, "decode.acc_seg": 73.9691, "aux.loss_seg": 0.08955, "aux.acc_seg": 72.01379, "loss": 0.24137, "time": 0.5153} -{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 22404, "data_time": 0.00783, "decode.loss_seg": 0.15492, "decode.acc_seg": 74.90039, "aux.loss_seg": 0.09204, "aux.acc_seg": 72.85104, "loss": 0.24696, "time": 0.52298} -{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.1649, "decode.acc_seg": 75.67974, "aux.loss_seg": 0.09719, "aux.acc_seg": 73.59462, "loss": 0.26209, "time": 0.51712} -{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16142, "decode.acc_seg": 74.84069, "aux.loss_seg": 0.09589, "aux.acc_seg": 72.71693, "loss": 0.25731, "time": 0.52142} -{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16406, "decode.acc_seg": 75.95035, "aux.loss_seg": 0.0969, "aux.acc_seg": 73.78235, "loss": 0.26096, "time": 0.51825} -{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.15863, "decode.acc_seg": 74.81302, "aux.loss_seg": 0.09128, "aux.acc_seg": 73.00852, "loss": 0.24991, "time": 0.51617} -{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16306, "decode.acc_seg": 74.18364, "aux.loss_seg": 0.0936, "aux.acc_seg": 72.38733, "loss": 0.25665, "time": 0.51745} -{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15294, "decode.acc_seg": 74.36767, "aux.loss_seg": 0.09005, "aux.acc_seg": 72.37652, "loss": 0.24299, "time": 0.51379} -{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.16185, "decode.acc_seg": 74.03172, "aux.loss_seg": 0.09433, "aux.acc_seg": 72.14576, "loss": 0.25617, "time": 0.50968} -{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16223, "decode.acc_seg": 74.4859, "aux.loss_seg": 0.09371, "aux.acc_seg": 72.64828, "loss": 0.25594, "time": 0.51276} -{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16258, "decode.acc_seg": 74.56068, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.73818, "loss": 0.25617, "time": 0.5276} -{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16543, "decode.acc_seg": 76.55545, "aux.loss_seg": 0.09574, "aux.acc_seg": 74.62335, "loss": 0.26117, "time": 0.51595} -{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.16436, "decode.acc_seg": 75.78979, "aux.loss_seg": 0.09258, "aux.acc_seg": 73.94435, "loss": 0.25694, "time": 0.51951} -{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.16287, "decode.acc_seg": 76.31517, "aux.loss_seg": 0.09514, "aux.acc_seg": 74.33064, "loss": 0.25801, "time": 0.52223} -{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.16054, "decode.acc_seg": 75.7569, "aux.loss_seg": 0.09169, "aux.acc_seg": 73.84665, "loss": 0.25223, "time": 0.52716} -{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 22404, "data_time": 0.25386, "decode.loss_seg": 0.15743, "decode.acc_seg": 74.32001, "aux.loss_seg": 0.09165, "aux.acc_seg": 72.42626, "loss": 0.24908, "time": 0.77242} -{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16848, "decode.acc_seg": 75.40527, "aux.loss_seg": 0.09715, "aux.acc_seg": 73.5142, "loss": 0.26562, "time": 0.51859} -{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.15976, "decode.acc_seg": 75.89802, "aux.loss_seg": 0.09208, "aux.acc_seg": 74.08729, "loss": 0.25184, "time": 0.53085} -{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.1593, "decode.acc_seg": 75.96916, "aux.loss_seg": 0.09134, "aux.acc_seg": 74.13654, "loss": 0.25064, "time": 0.53726} -{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 22404, "data_time": 0.00732, "decode.loss_seg": 0.1496, "decode.acc_seg": 76.13809, "aux.loss_seg": 0.08756, "aux.acc_seg": 74.33872, "loss": 0.23716, "time": 0.51677} -{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.15508, "decode.acc_seg": 75.64108, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.77261, "loss": 0.24527, "time": 0.51918} -{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 22404, "data_time": 0.00747, "decode.loss_seg": 0.15469, "decode.acc_seg": 75.07891, "aux.loss_seg": 0.08995, "aux.acc_seg": 73.08664, "loss": 0.24464, "time": 0.51734} -{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.15801, "decode.acc_seg": 75.22906, "aux.loss_seg": 0.09217, "aux.acc_seg": 73.27431, "loss": 0.25018, "time": 0.53063} -{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 22404, "data_time": 0.00725, "decode.loss_seg": 0.15974, "decode.acc_seg": 73.98445, "aux.loss_seg": 0.09287, "aux.acc_seg": 71.94774, "loss": 0.25261, "time": 0.51723} -{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.15206, "decode.acc_seg": 75.32883, "aux.loss_seg": 0.08758, "aux.acc_seg": 73.53014, "loss": 0.23964, "time": 0.51185} -{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.1614, "decode.acc_seg": 74.85519, "aux.loss_seg": 0.09127, "aux.acc_seg": 73.21046, "loss": 0.25267, "time": 0.52969} -{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16128, "decode.acc_seg": 75.29601, "aux.loss_seg": 0.09342, "aux.acc_seg": 73.38571, "loss": 0.2547, "time": 0.52284} -{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.1558, "decode.acc_seg": 75.65968, "aux.loss_seg": 0.09014, "aux.acc_seg": 73.71434, "loss": 0.24594, "time": 0.52471} -{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.17208, "decode.acc_seg": 76.04282, "aux.loss_seg": 0.0975, "aux.acc_seg": 74.25256, "loss": 0.26958, "time": 0.50992} -{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 22404, "data_time": 0.00795, "decode.loss_seg": 0.16065, "decode.acc_seg": 74.41332, "aux.loss_seg": 0.09404, "aux.acc_seg": 72.43526, "loss": 0.2547, "time": 0.51463} -{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16395, "decode.acc_seg": 74.29593, "aux.loss_seg": 0.09492, "aux.acc_seg": 72.33202, "loss": 0.25887, "time": 0.52968} -{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16044, "decode.acc_seg": 76.03919, "aux.loss_seg": 0.09374, "aux.acc_seg": 73.99039, "loss": 0.25418, "time": 0.51653} -{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.15198, "decode.acc_seg": 75.53479, "aux.loss_seg": 0.08764, "aux.acc_seg": 73.71406, "loss": 0.23962, "time": 0.51876} -{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 22404, "data_time": 0.00734, "decode.loss_seg": 0.16208, "decode.acc_seg": 75.79524, "aux.loss_seg": 0.09381, "aux.acc_seg": 73.83683, "loss": 0.25588, "time": 0.51076} -{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.15775, "decode.acc_seg": 74.26277, "aux.loss_seg": 0.09159, "aux.acc_seg": 72.39323, "loss": 0.24934, "time": 0.53528} -{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.15936, "decode.acc_seg": 75.947, "aux.loss_seg": 0.09148, "aux.acc_seg": 74.12047, "loss": 0.25084, "time": 0.52256} -{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.17417, "decode.acc_seg": 75.11653, "aux.loss_seg": 0.09891, "aux.acc_seg": 73.16089, "loss": 0.27309, "time": 0.51784} -{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 22404, "data_time": 0.00711, "decode.loss_seg": 0.1556, "decode.acc_seg": 75.57812, "aux.loss_seg": 0.08859, "aux.acc_seg": 73.78255, "loss": 0.2442, "time": 0.51158} -{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.16056, "decode.acc_seg": 74.51887, "aux.loss_seg": 0.09197, "aux.acc_seg": 72.58213, "loss": 0.25253, "time": 0.51031} -{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 22404, "data_time": 0.0077, "decode.loss_seg": 0.16229, "decode.acc_seg": 75.80505, "aux.loss_seg": 0.08984, "aux.acc_seg": 74.12724, "loss": 0.25213, "time": 0.52332} -{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 22404, "data_time": 0.24484, "decode.loss_seg": 0.16713, "decode.acc_seg": 75.65597, "aux.loss_seg": 0.09477, "aux.acc_seg": 73.78255, "loss": 0.2619, "time": 0.75258} -{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.16418, "decode.acc_seg": 75.02239, "aux.loss_seg": 0.09559, "aux.acc_seg": 73.08824, "loss": 0.25976, "time": 0.52509} -{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 22404, "data_time": 0.00683, "decode.loss_seg": 0.15097, "decode.acc_seg": 76.71953, "aux.loss_seg": 0.08948, "aux.acc_seg": 74.80417, "loss": 0.24046, "time": 0.52436} -{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.15981, "decode.acc_seg": 74.3373, "aux.loss_seg": 0.09172, "aux.acc_seg": 72.46134, "loss": 0.25153, "time": 0.54551} -{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.1509, "decode.acc_seg": 75.15263, "aux.loss_seg": 0.08787, "aux.acc_seg": 73.28558, "loss": 0.23877, "time": 0.5146} -{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 22404, "data_time": 0.00714, "decode.loss_seg": 0.15398, "decode.acc_seg": 76.49723, "aux.loss_seg": 0.08825, "aux.acc_seg": 74.76009, "loss": 0.24223, "time": 0.52163} -{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 22404, "data_time": 0.00788, "decode.loss_seg": 0.16336, "decode.acc_seg": 75.87314, "aux.loss_seg": 0.09403, "aux.acc_seg": 73.96883, "loss": 0.25739, "time": 0.54886} -{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.15846, "decode.acc_seg": 74.1871, "aux.loss_seg": 0.09134, "aux.acc_seg": 72.31472, "loss": 0.2498, "time": 0.53458} -{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.16489, "decode.acc_seg": 75.18794, "aux.loss_seg": 0.09586, "aux.acc_seg": 73.18304, "loss": 0.26076, "time": 0.51932} -{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.15501, "decode.acc_seg": 75.63435, "aux.loss_seg": 0.08982, "aux.acc_seg": 73.8036, "loss": 0.24483, "time": 0.52519} -{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.16324, "decode.acc_seg": 76.89578, "aux.loss_seg": 0.09356, "aux.acc_seg": 75.01095, "loss": 0.2568, "time": 0.53108} -{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.15536, "decode.acc_seg": 75.59328, "aux.loss_seg": 0.08849, "aux.acc_seg": 73.93762, "loss": 0.24385, "time": 0.53945} -{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 22404, "data_time": 0.00786, "decode.loss_seg": 0.15837, "decode.acc_seg": 75.50931, "aux.loss_seg": 0.08883, "aux.acc_seg": 73.74275, "loss": 0.2472, "time": 0.51402} -{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16108, "decode.acc_seg": 75.3746, "aux.loss_seg": 0.0922, "aux.acc_seg": 73.5702, "loss": 0.25328, "time": 0.51703} -{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 22404, "data_time": 0.00749, "decode.loss_seg": 0.16286, "decode.acc_seg": 76.00649, "aux.loss_seg": 0.09442, "aux.acc_seg": 74.0641, "loss": 0.25728, "time": 0.52237} -{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.16361, "decode.acc_seg": 75.507, "aux.loss_seg": 0.09419, "aux.acc_seg": 73.61856, "loss": 0.2578, "time": 0.511} -{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 22404, "data_time": 0.00721, "decode.loss_seg": 0.16611, "decode.acc_seg": 74.37483, "aux.loss_seg": 0.09652, "aux.acc_seg": 72.34717, "loss": 0.26263, "time": 0.51217} -{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.1522, "decode.acc_seg": 75.04546, "aux.loss_seg": 0.08872, "aux.acc_seg": 73.17538, "loss": 0.24092, "time": 0.51605} -{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.16631, "decode.acc_seg": 75.43876, "aux.loss_seg": 0.09626, "aux.acc_seg": 73.44445, "loss": 0.26257, "time": 0.52387} -{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 22404, "data_time": 0.00765, "decode.loss_seg": 0.15729, "decode.acc_seg": 74.51297, "aux.loss_seg": 0.09048, "aux.acc_seg": 72.63999, "loss": 0.24777, "time": 0.5125} -{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.156, "decode.acc_seg": 75.34605, "aux.loss_seg": 0.09073, "aux.acc_seg": 73.49393, "loss": 0.24673, "time": 0.52665} -{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 22404, "data_time": 0.00764, "decode.loss_seg": 0.15219, "decode.acc_seg": 75.36686, "aux.loss_seg": 0.08754, "aux.acc_seg": 73.62173, "loss": 0.23973, "time": 0.5411} -{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.16441, "decode.acc_seg": 74.43243, "aux.loss_seg": 0.09224, "aux.acc_seg": 72.82032, "loss": 0.25666, "time": 0.52476} -{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16053, "decode.acc_seg": 74.69671, "aux.loss_seg": 0.09316, "aux.acc_seg": 72.82058, "loss": 0.25369, "time": 0.52448} -{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 22404, "data_time": 0.00694, "decode.loss_seg": 0.15199, "decode.acc_seg": 75.77584, "aux.loss_seg": 0.08876, "aux.acc_seg": 73.8231, "loss": 0.24075, "time": 0.51181} -{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 22404, "data_time": 0.2431, "decode.loss_seg": 0.15873, "decode.acc_seg": 75.39184, "aux.loss_seg": 0.0914, "aux.acc_seg": 73.50474, "loss": 0.25013, "time": 0.76631} -{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16049, "decode.acc_seg": 75.62581, "aux.loss_seg": 0.09211, "aux.acc_seg": 73.77615, "loss": 0.2526, "time": 0.51975} -{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16116, "decode.acc_seg": 74.867, "aux.loss_seg": 0.09332, "aux.acc_seg": 72.94363, "loss": 0.25448, "time": 0.50969} -{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.1597, "decode.acc_seg": 75.38881, "aux.loss_seg": 0.09099, "aux.acc_seg": 73.61804, "loss": 0.25069, "time": 0.53982} -{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.16988, "decode.acc_seg": 75.03864, "aux.loss_seg": 0.09777, "aux.acc_seg": 73.12068, "loss": 0.26765, "time": 0.52916} -{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15911, "decode.acc_seg": 75.8838, "aux.loss_seg": 0.09016, "aux.acc_seg": 74.13397, "loss": 0.24927, "time": 0.52719} -{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 22404, "data_time": 0.00697, "decode.loss_seg": 0.1595, "decode.acc_seg": 75.71546, "aux.loss_seg": 0.09307, "aux.acc_seg": 73.74672, "loss": 0.25257, "time": 0.50953} -{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16165, "decode.acc_seg": 74.7744, "aux.loss_seg": 0.09335, "aux.acc_seg": 72.87643, "loss": 0.255, "time": 0.51095} -{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 22404, "data_time": 0.00698, "decode.loss_seg": 0.15751, "decode.acc_seg": 75.05448, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.15374, "loss": 0.249, "time": 0.5338} -{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.16208, "decode.acc_seg": 76.01114, "aux.loss_seg": 0.09374, "aux.acc_seg": 74.07202, "loss": 0.25582, "time": 0.52003} -{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15635, "decode.acc_seg": 75.4923, "aux.loss_seg": 0.09177, "aux.acc_seg": 73.59173, "loss": 0.24812, "time": 0.50824} -{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 22404, "data_time": 0.00691, "decode.loss_seg": 0.15827, "decode.acc_seg": 75.00755, "aux.loss_seg": 0.0917, "aux.acc_seg": 73.23243, "loss": 0.24997, "time": 0.51427} -{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 22404, "data_time": 0.00778, "decode.loss_seg": 0.1674, "decode.acc_seg": 74.96588, "aux.loss_seg": 0.09646, "aux.acc_seg": 73.00261, "loss": 0.26387, "time": 0.54404} -{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 22404, "data_time": 0.00763, "decode.loss_seg": 0.15183, "decode.acc_seg": 75.30406, "aux.loss_seg": 0.08731, "aux.acc_seg": 73.61468, "loss": 0.23914, "time": 0.51613} -{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.15314, "decode.acc_seg": 76.06115, "aux.loss_seg": 0.08875, "aux.acc_seg": 74.2719, "loss": 0.2419, "time": 0.50899} -{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.1557, "decode.acc_seg": 75.34554, "aux.loss_seg": 0.08939, "aux.acc_seg": 73.53609, "loss": 0.24509, "time": 0.51154} -{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.16162, "decode.acc_seg": 74.80472, "aux.loss_seg": 0.09305, "aux.acc_seg": 73.00318, "loss": 0.25467, "time": 0.51298} -{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.16559, "decode.acc_seg": 74.49959, "aux.loss_seg": 0.0919, "aux.acc_seg": 72.78082, "loss": 0.2575, "time": 0.52664} -{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 22404, "data_time": 0.00773, "decode.loss_seg": 0.15698, "decode.acc_seg": 76.87571, "aux.loss_seg": 0.08979, "aux.acc_seg": 75.04375, "loss": 0.24676, "time": 0.51913} -{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15593, "decode.acc_seg": 74.89857, "aux.loss_seg": 0.09104, "aux.acc_seg": 72.92762, "loss": 0.24697, "time": 0.51382} -{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.16094, "decode.acc_seg": 76.32238, "aux.loss_seg": 0.09029, "aux.acc_seg": 74.62267, "loss": 0.25123, "time": 0.5138} -{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.1636, "decode.acc_seg": 75.15164, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.15486, "loss": 0.25902, "time": 0.51803} -{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.16601, "decode.acc_seg": 75.07076, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.31364, "loss": 0.26038, "time": 0.53213} -{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.1656, "decode.acc_seg": 76.03695, "aux.loss_seg": 0.09482, "aux.acc_seg": 74.20537, "loss": 0.26042, "time": 0.5317} -{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 22404, "data_time": 0.00744, "decode.loss_seg": 0.15932, "decode.acc_seg": 76.71852, "aux.loss_seg": 0.0932, "aux.acc_seg": 74.71545, "loss": 0.25252, "time": 0.51099} -{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 22404, "data_time": 0.2451, "decode.loss_seg": 0.15694, "decode.acc_seg": 74.76994, "aux.loss_seg": 0.09166, "aux.acc_seg": 72.9467, "loss": 0.2486, "time": 0.76156} -{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 22404, "data_time": 0.00803, "decode.loss_seg": 0.16313, "decode.acc_seg": 75.15063, "aux.loss_seg": 0.09471, "aux.acc_seg": 73.20947, "loss": 0.25784, "time": 0.52135} -{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 22404, "data_time": 0.00723, "decode.loss_seg": 0.1578, "decode.acc_seg": 75.86802, "aux.loss_seg": 0.09124, "aux.acc_seg": 73.98124, "loss": 0.24904, "time": 0.52146} -{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.15766, "decode.acc_seg": 75.65937, "aux.loss_seg": 0.09056, "aux.acc_seg": 73.90835, "loss": 0.24823, "time": 0.53118} -{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.1584, "decode.acc_seg": 75.82147, "aux.loss_seg": 0.09198, "aux.acc_seg": 73.94066, "loss": 0.25038, "time": 0.51646} -{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 22404, "data_time": 0.00768, "decode.loss_seg": 0.16562, "decode.acc_seg": 75.56334, "aux.loss_seg": 0.09533, "aux.acc_seg": 73.68547, "loss": 0.26096, "time": 0.51885} -{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.1641, "decode.acc_seg": 74.99825, "aux.loss_seg": 0.09487, "aux.acc_seg": 73.01465, "loss": 0.25897, "time": 0.5318} -{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.15932, "decode.acc_seg": 74.5856, "aux.loss_seg": 0.09374, "aux.acc_seg": 72.55001, "loss": 0.25305, "time": 0.54344} -{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.15085, "decode.acc_seg": 75.36016, "aux.loss_seg": 0.08653, "aux.acc_seg": 73.59748, "loss": 0.23739, "time": 0.51853} -{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 22404, "data_time": 0.0075, "decode.loss_seg": 0.15566, "decode.acc_seg": 75.45913, "aux.loss_seg": 0.09072, "aux.acc_seg": 73.4783, "loss": 0.24638, "time": 0.5164} -{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.15478, "decode.acc_seg": 75.0796, "aux.loss_seg": 0.0898, "aux.acc_seg": 73.17301, "loss": 0.24458, "time": 0.54259} -{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.15589, "decode.acc_seg": 76.20792, "aux.loss_seg": 0.0889, "aux.acc_seg": 74.4518, "loss": 0.24479, "time": 0.51846} -{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.15729, "decode.acc_seg": 74.89813, "aux.loss_seg": 0.09184, "aux.acc_seg": 73.03686, "loss": 0.24913, "time": 0.51591} -{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 22404, "data_time": 0.00754, "decode.loss_seg": 0.15882, "decode.acc_seg": 76.75505, "aux.loss_seg": 0.09109, "aux.acc_seg": 74.97794, "loss": 0.2499, "time": 0.50586} -{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.15266, "decode.acc_seg": 76.32579, "aux.loss_seg": 0.09022, "aux.acc_seg": 74.32989, "loss": 0.24287, "time": 0.52672} -{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15587, "decode.acc_seg": 76.58874, "aux.loss_seg": 0.08988, "aux.acc_seg": 74.72483, "loss": 0.24576, "time": 0.51901} -{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 22404, "data_time": 0.00774, "decode.loss_seg": 0.16303, "decode.acc_seg": 75.44536, "aux.loss_seg": 0.09177, "aux.acc_seg": 73.73071, "loss": 0.2548, "time": 0.53782} -{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 22404, "data_time": 0.00784, "decode.loss_seg": 0.16409, "decode.acc_seg": 75.35218, "aux.loss_seg": 0.09495, "aux.acc_seg": 73.38677, "loss": 0.25904, "time": 0.53029} -{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 22404, "data_time": 0.00719, "decode.loss_seg": 0.15718, "decode.acc_seg": 74.28371, "aux.loss_seg": 0.08953, "aux.acc_seg": 72.43693, "loss": 0.24672, "time": 0.51221} -{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.1543, "decode.acc_seg": 75.20814, "aux.loss_seg": 0.09065, "aux.acc_seg": 73.28455, "loss": 0.24495, "time": 0.51234} -{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 22404, "data_time": 0.0072, "decode.loss_seg": 0.16452, "decode.acc_seg": 73.71752, "aux.loss_seg": 0.09372, "aux.acc_seg": 71.88425, "loss": 0.25825, "time": 0.51628} -{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.15823, "decode.acc_seg": 75.06852, "aux.loss_seg": 0.09399, "aux.acc_seg": 73.02685, "loss": 0.25222, "time": 0.51879} -{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 22404, "data_time": 0.00748, "decode.loss_seg": 0.15093, "decode.acc_seg": 74.53642, "aux.loss_seg": 0.08613, "aux.acc_seg": 72.84225, "loss": 0.23706, "time": 0.52866} -{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 22404, "data_time": 0.00751, "decode.loss_seg": 0.1686, "decode.acc_seg": 74.84895, "aux.loss_seg": 0.09631, "aux.acc_seg": 72.96246, "loss": 0.26491, "time": 0.51804} -{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16173, "decode.acc_seg": 76.32202, "aux.loss_seg": 0.09525, "aux.acc_seg": 74.29619, "loss": 0.25698, "time": 0.54404} -{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 22404, "data_time": 0.0078, "decode.loss_seg": 0.15709, "decode.acc_seg": 75.37444, "aux.loss_seg": 0.0906, "aux.acc_seg": 73.55199, "loss": 0.2477, "time": 0.52488} -{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 22404, "data_time": 0.24617, "decode.loss_seg": 0.15474, "decode.acc_seg": 74.80106, "aux.loss_seg": 0.09111, "aux.acc_seg": 72.93437, "loss": 0.24585, "time": 0.74624} -{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 22404, "data_time": 0.00712, "decode.loss_seg": 0.16028, "decode.acc_seg": 75.01711, "aux.loss_seg": 0.0926, "aux.acc_seg": 73.25685, "loss": 0.25288, "time": 0.50957} -{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15759, "decode.acc_seg": 74.56505, "aux.loss_seg": 0.09269, "aux.acc_seg": 72.63809, "loss": 0.25028, "time": 0.51033} -{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.1583, "decode.acc_seg": 75.47223, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.65475, "loss": 0.24979, "time": 0.53317} -{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 22404, "data_time": 0.00761, "decode.loss_seg": 0.1635, "decode.acc_seg": 75.58736, "aux.loss_seg": 0.09411, "aux.acc_seg": 73.76314, "loss": 0.25761, "time": 0.52888} -{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.16733, "decode.acc_seg": 74.65712, "aux.loss_seg": 0.09782, "aux.acc_seg": 72.63342, "loss": 0.26516, "time": 0.51455} -{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.15437, "decode.acc_seg": 75.4339, "aux.loss_seg": 0.09011, "aux.acc_seg": 73.52453, "loss": 0.24448, "time": 0.52529} -{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 22404, "data_time": 0.00692, "decode.loss_seg": 0.15103, "decode.acc_seg": 75.18655, "aux.loss_seg": 0.08894, "aux.acc_seg": 73.17165, "loss": 0.23996, "time": 0.52053} -{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.15759, "decode.acc_seg": 74.97329, "aux.loss_seg": 0.09172, "aux.acc_seg": 73.10876, "loss": 0.24931, "time": 0.51541} -{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.14897, "decode.acc_seg": 74.62852, "aux.loss_seg": 0.08689, "aux.acc_seg": 72.83986, "loss": 0.23586, "time": 0.51949} -{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.16436, "decode.acc_seg": 75.85131, "aux.loss_seg": 0.09399, "aux.acc_seg": 73.9471, "loss": 0.25835, "time": 0.51153} -{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.15457, "decode.acc_seg": 74.70946, "aux.loss_seg": 0.08972, "aux.acc_seg": 72.78786, "loss": 0.24429, "time": 0.51346} -{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.15089, "decode.acc_seg": 75.68771, "aux.loss_seg": 0.08535, "aux.acc_seg": 74.0606, "loss": 0.23625, "time": 0.51268} -{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15018, "decode.acc_seg": 75.32982, "aux.loss_seg": 0.08799, "aux.acc_seg": 73.5015, "loss": 0.23817, "time": 0.51029} -{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 22404, "data_time": 0.0069, "decode.loss_seg": 0.15328, "decode.acc_seg": 76.47269, "aux.loss_seg": 0.08901, "aux.acc_seg": 74.66565, "loss": 0.24228, "time": 0.50689} -{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 22404, "data_time": 0.00696, "decode.loss_seg": 0.15709, "decode.acc_seg": 75.34266, "aux.loss_seg": 0.09076, "aux.acc_seg": 73.45965, "loss": 0.24784, "time": 0.52611} -{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 22404, "data_time": 0.00707, "decode.loss_seg": 0.15854, "decode.acc_seg": 73.90937, "aux.loss_seg": 0.09401, "aux.acc_seg": 71.89209, "loss": 0.25255, "time": 0.51432} -{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 22404, "data_time": 0.00741, "decode.loss_seg": 0.15524, "decode.acc_seg": 75.90866, "aux.loss_seg": 0.08981, "aux.acc_seg": 74.01048, "loss": 0.24505, "time": 0.53417} -{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 22404, "data_time": 0.00745, "decode.loss_seg": 0.15272, "decode.acc_seg": 75.0173, "aux.loss_seg": 0.08874, "aux.acc_seg": 73.14248, "loss": 0.24145, "time": 0.5268} -{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 22404, "data_time": 0.00699, "decode.loss_seg": 0.15806, "decode.acc_seg": 75.41346, "aux.loss_seg": 0.09466, "aux.acc_seg": 73.30967, "loss": 0.25272, "time": 0.53196} -{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.1545, "decode.acc_seg": 74.92211, "aux.loss_seg": 0.08729, "aux.acc_seg": 73.26693, "loss": 0.24179, "time": 0.55689} -{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 22404, "data_time": 0.00738, "decode.loss_seg": 0.15659, "decode.acc_seg": 74.59635, "aux.loss_seg": 0.09037, "aux.acc_seg": 72.70511, "loss": 0.24697, "time": 0.51519} -{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 22404, "data_time": 0.00759, "decode.loss_seg": 0.15958, "decode.acc_seg": 75.38451, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.50021, "loss": 0.25083, "time": 0.51529} -{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.15031, "decode.acc_seg": 75.25709, "aux.loss_seg": 0.08637, "aux.acc_seg": 73.48702, "loss": 0.23668, "time": 0.52389} -{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.18061, "decode.acc_seg": 75.11144, "aux.loss_seg": 0.10107, "aux.acc_seg": 73.16964, "loss": 0.28168, "time": 0.51053} -{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 22404, "data_time": 0.24459, "decode.loss_seg": 0.15641, "decode.acc_seg": 76.14726, "aux.loss_seg": 0.09158, "aux.acc_seg": 74.25694, "loss": 0.24799, "time": 0.74525} -{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 22404, "data_time": 0.00722, "decode.loss_seg": 0.1615, "decode.acc_seg": 76.44284, "aux.loss_seg": 0.093, "aux.acc_seg": 74.56007, "loss": 0.2545, "time": 0.51246} -{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 22404, "data_time": 0.00709, "decode.loss_seg": 0.15337, "decode.acc_seg": 74.7515, "aux.loss_seg": 0.09028, "aux.acc_seg": 72.74388, "loss": 0.24366, "time": 0.50728} -{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16337, "decode.acc_seg": 74.14998, "aux.loss_seg": 0.09559, "aux.acc_seg": 72.12529, "loss": 0.25896, "time": 0.51529} -{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 22404, "data_time": 0.00733, "decode.loss_seg": 0.15335, "decode.acc_seg": 75.68729, "aux.loss_seg": 0.08961, "aux.acc_seg": 73.79005, "loss": 0.24295, "time": 0.51674} -{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.15766, "decode.acc_seg": 75.66365, "aux.loss_seg": 0.09093, "aux.acc_seg": 73.87091, "loss": 0.24859, "time": 0.5259} -{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 22404, "data_time": 0.00775, "decode.loss_seg": 0.15584, "decode.acc_seg": 75.49026, "aux.loss_seg": 0.09124, "aux.acc_seg": 73.58183, "loss": 0.24708, "time": 0.53985} -{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 22404, "data_time": 0.00826, "decode.loss_seg": 0.16304, "decode.acc_seg": 76.07488, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.18217, "loss": 0.25783, "time": 0.54019} -{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 22404, "data_time": 0.00728, "decode.loss_seg": 0.15866, "decode.acc_seg": 74.44847, "aux.loss_seg": 0.09175, "aux.acc_seg": 72.56454, "loss": 0.25042, "time": 0.5138} -{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.15097, "decode.acc_seg": 75.06301, "aux.loss_seg": 0.08624, "aux.acc_seg": 73.26306, "loss": 0.23721, "time": 0.51266} -{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.14799, "decode.acc_seg": 74.37206, "aux.loss_seg": 0.08504, "aux.acc_seg": 72.73509, "loss": 0.23303, "time": 0.51007} -{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 22404, "data_time": 0.00717, "decode.loss_seg": 0.15578, "decode.acc_seg": 76.18485, "aux.loss_seg": 0.08879, "aux.acc_seg": 74.37809, "loss": 0.24457, "time": 0.51071} -{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 22404, "data_time": 0.00716, "decode.loss_seg": 0.16047, "decode.acc_seg": 74.62639, "aux.loss_seg": 0.09333, "aux.acc_seg": 72.73214, "loss": 0.2538, "time": 0.51212} -{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 22404, "data_time": 0.00708, "decode.loss_seg": 0.16085, "decode.acc_seg": 76.68815, "aux.loss_seg": 0.09128, "aux.acc_seg": 74.91951, "loss": 0.25212, "time": 0.52567} -{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 22404, "data_time": 0.00776, "decode.loss_seg": 0.15497, "decode.acc_seg": 76.1227, "aux.loss_seg": 0.09138, "aux.acc_seg": 74.26785, "loss": 0.24635, "time": 0.5212} -{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 22404, "data_time": 0.00757, "decode.loss_seg": 0.16099, "decode.acc_seg": 75.37963, "aux.loss_seg": 0.09224, "aux.acc_seg": 73.54006, "loss": 0.25323, "time": 0.54196} -{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 22404, "data_time": 0.00797, "decode.loss_seg": 0.15604, "decode.acc_seg": 74.715, "aux.loss_seg": 0.09056, "aux.acc_seg": 72.83797, "loss": 0.24661, "time": 0.54083} -{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 22404, "data_time": 0.00767, "decode.loss_seg": 0.15139, "decode.acc_seg": 75.17825, "aux.loss_seg": 0.08896, "aux.acc_seg": 73.45107, "loss": 0.24035, "time": 0.54378} -{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 22404, "data_time": 0.00766, "decode.loss_seg": 0.15571, "decode.acc_seg": 75.57506, "aux.loss_seg": 0.09054, "aux.acc_seg": 73.72865, "loss": 0.24625, "time": 0.52955} -{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 22404, "data_time": 0.00782, "decode.loss_seg": 0.15781, "decode.acc_seg": 73.76964, "aux.loss_seg": 0.09061, "aux.acc_seg": 71.89348, "loss": 0.24842, "time": 0.51667} -{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 22404, "data_time": 0.00713, "decode.loss_seg": 0.15692, "decode.acc_seg": 75.17279, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.34389, "loss": 0.24732, "time": 0.51104} -{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 22404, "data_time": 0.00718, "decode.loss_seg": 0.16262, "decode.acc_seg": 76.25418, "aux.loss_seg": 0.09389, "aux.acc_seg": 74.38659, "loss": 0.25651, "time": 0.50969} -{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 22404, "data_time": 0.0071, "decode.loss_seg": 0.15582, "decode.acc_seg": 74.29977, "aux.loss_seg": 0.09097, "aux.acc_seg": 72.3884, "loss": 0.24678, "time": 0.51201} -{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 22404, "data_time": 0.00693, "decode.loss_seg": 0.15498, "decode.acc_seg": 73.7446, "aux.loss_seg": 0.08878, "aux.acc_seg": 71.96191, "loss": 0.24376, "time": 0.52826} -{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 22404, "data_time": 0.00704, "decode.loss_seg": 0.15423, "decode.acc_seg": 75.47913, "aux.loss_seg": 0.09003, "aux.acc_seg": 73.59666, "loss": 0.24425, "time": 0.52194} -{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 22404, "data_time": 0.24709, "decode.loss_seg": 0.15948, "decode.acc_seg": 75.59663, "aux.loss_seg": 0.09527, "aux.acc_seg": 73.51784, "loss": 0.25475, "time": 0.75588} -{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.16117, "decode.acc_seg": 74.8952, "aux.loss_seg": 0.09103, "aux.acc_seg": 73.06858, "loss": 0.2522, "time": 0.5116} -{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 22404, "data_time": 0.00731, "decode.loss_seg": 0.15704, "decode.acc_seg": 74.9318, "aux.loss_seg": 0.09122, "aux.acc_seg": 73.11569, "loss": 0.24826, "time": 0.51202} -{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 22404, "data_time": 0.00715, "decode.loss_seg": 0.14935, "decode.acc_seg": 74.16374, "aux.loss_seg": 0.08696, "aux.acc_seg": 72.28884, "loss": 0.23631, "time": 0.51349} -{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 22404, "data_time": 0.00724, "decode.loss_seg": 0.16185, "decode.acc_seg": 76.10915, "aux.loss_seg": 0.0934, "aux.acc_seg": 74.18891, "loss": 0.25524, "time": 0.51553} -{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 22404, "data_time": 0.00705, "decode.loss_seg": 0.15455, "decode.acc_seg": 75.49632, "aux.loss_seg": 0.08819, "aux.acc_seg": 73.73085, "loss": 0.24274, "time": 0.51295} -{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 22404, "data_time": 0.00701, "decode.loss_seg": 0.16609, "decode.acc_seg": 76.03999, "aux.loss_seg": 0.09447, "aux.acc_seg": 74.16444, "loss": 0.26056, "time": 0.51184} -{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 22404, "data_time": 0.007, "decode.loss_seg": 0.15697, "decode.acc_seg": 74.73711, "aux.loss_seg": 0.08966, "aux.acc_seg": 72.92729, "loss": 0.24663, "time": 0.5103} -{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 22404, "data_time": 0.00703, "decode.loss_seg": 0.16253, "decode.acc_seg": 74.82583, "aux.loss_seg": 0.09318, "aux.acc_seg": 72.97533, "loss": 0.25571, "time": 0.51109} -{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 22404, "data_time": 0.00702, "decode.loss_seg": 0.15739, "decode.acc_seg": 76.08133, "aux.loss_seg": 0.09049, "aux.acc_seg": 74.29876, "loss": 0.24787, "time": 0.51267} -{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 22404, "data_time": 0.0074, "decode.loss_seg": 0.15493, "decode.acc_seg": 76.50262, "aux.loss_seg": 0.08947, "aux.acc_seg": 74.72087, "loss": 0.24441, "time": 0.52889} -{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 22404, "data_time": 0.00695, "decode.loss_seg": 0.15496, "decode.acc_seg": 75.31735, "aux.loss_seg": 0.08937, "aux.acc_seg": 73.52535, "loss": 0.24433, "time": 0.50713} -{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 22404, "data_time": 0.00689, "decode.loss_seg": 0.15807, "decode.acc_seg": 74.8575, "aux.loss_seg": 0.09213, "aux.acc_seg": 72.95547, "loss": 0.2502, "time": 0.54024} -{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 22404, "data_time": 0.00735, "decode.loss_seg": 0.15851, "decode.acc_seg": 75.45602, "aux.loss_seg": 0.0902, "aux.acc_seg": 73.66458, "loss": 0.24871, "time": 0.53464} -{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 22404, "data_time": 0.00706, "decode.loss_seg": 0.15547, "decode.acc_seg": 74.81145, "aux.loss_seg": 0.09259, "aux.acc_seg": 72.85133, "loss": 0.24806, "time": 0.514} -{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 22404, "data_time": 0.00758, "decode.loss_seg": 0.15875, "decode.acc_seg": 75.39952, "aux.loss_seg": 0.0933, "aux.acc_seg": 73.487, "loss": 0.25205, "time": 0.52116} -{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 22404, "data_time": 0.00755, "decode.loss_seg": 0.16022, "decode.acc_seg": 76.37397, "aux.loss_seg": 0.09227, "aux.acc_seg": 74.45998, "loss": 0.25249, "time": 0.54114} -{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4778, "mAcc": 0.5972, "aAcc": 0.8248, "IoU.wall": 0.7637, "IoU.building": 0.81, "IoU.sky": 0.9381, "IoU.floor": 0.81, "IoU.tree": 0.7394, "IoU.ceiling": 0.8374, "IoU.road": 0.8427, "IoU.bed ": 0.8838, "IoU.windowpane": 0.6062, "IoU.grass": 0.6562, "IoU.cabinet": 0.5985, "IoU.sidewalk": 0.6618, "IoU.person": 0.7792, "IoU.earth": 0.3633, "IoU.door": 0.4815, "IoU.table": 0.5584, "IoU.mountain": 0.5684, "IoU.plant": 0.525, "IoU.curtain": 0.7144, "IoU.chair": 0.5518, "IoU.car": 0.8353, "IoU.water": 0.5305, "IoU.painting": 0.7113, "IoU.sofa": 0.6105, "IoU.shelf": 0.4342, "IoU.house": 0.4528, "IoU.sea": 0.5966, "IoU.mirror": 0.67, "IoU.rug": 0.5755, "IoU.field": 0.309, "IoU.armchair": 0.388, "IoU.seat": 0.6303, "IoU.fence": 0.4702, "IoU.desk": 0.4686, "IoU.rock": 0.4182, "IoU.wardrobe": 0.4994, "IoU.lamp": 0.5994, "IoU.bathtub": 0.7648, "IoU.railing": 0.3308, "IoU.cushion": 0.5361, "IoU.base": 0.3107, "IoU.box": 0.277, "IoU.column": 0.4043, "IoU.signboard": 0.3667, "IoU.chest of drawers": 0.4011, "IoU.counter": 0.3031, "IoU.sand": 0.5418, "IoU.sink": 0.7015, "IoU.skyscraper": 0.6317, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7496, "IoU.grandstand": 0.4219, "IoU.path": 0.2179, "IoU.stairs": 0.3228, "IoU.runway": 0.6973, "IoU.case": 0.4692, "IoU.pool table": 0.9155, "IoU.pillow": 0.5419, "IoU.screen door": 0.7221, "IoU.stairway": 0.3325, "IoU.river": 0.1678, "IoU.bridge": 0.6709, "IoU.bookcase": 0.4325, "IoU.blind": NaN, "IoU.coffee table": 0.5074, "IoU.toilet": 0.8299, "IoU.flower": 0.417, "IoU.book": 0.4413, "IoU.hill": 0.0581, "IoU.bench": 0.5318, "IoU.countertop": 0.505, "IoU.stove": 0.7067, "IoU.palm": 0.4826, "IoU.kitchen island": 0.3233, "IoU.computer": 0.7155, "IoU.swivel chair": 0.4546, "IoU.boat": 0.3924, "IoU.bar": 0.2332, "IoU.arcade machine": 0.5677, "IoU.hovel": 0.373, "IoU.bus": 0.8578, "IoU.towel": 0.5866, "IoU.light": 0.5234, "IoU.truck": 0.3531, "IoU.tower": 0.079, "IoU.chandelier": 0.6332, "IoU.awning": 0.2678, "IoU.streetlight": 0.2149, "IoU.booth": 0.5693, "IoU.television receiver": NaN, "IoU.airplane": 0.6225, "IoU.dirt track": 0.2443, "IoU.apparel": 0.2577, "IoU.pole": 0.1592, "IoU.land": 0.0434, "IoU.bannister": 0.1079, "IoU.escalator": 0.395, "IoU.ottoman": 0.3927, "IoU.bottle": NaN, "IoU.buffet": 0.3927, "IoU.poster": 0.2965, "IoU.stage": 0.1741, "IoU.van": 0.4166, "IoU.ship": 0.5952, "IoU.fountain": 0.2079, "IoU.conveyer belt": 0.7529, "IoU.canopy": 0.0943, "IoU.washer": 0.7808, "IoU.plaything": 0.2265, "IoU.swimming pool": 0.5763, "IoU.stool": 0.4093, "IoU.barrel": 0.5321, "IoU.basket": 0.3077, "IoU.waterfall": 0.524, "IoU.tent": 0.9297, "IoU.bag": 0.118, "IoU.minibike": 0.7491, "IoU.cradle": NaN, "IoU.oven": 0.4754, "IoU.ball": 0.4011, "IoU.food": 0.3349, "IoU.step": 0.0748, "IoU.tank": 0.5051, "IoU.trade name": 0.2827, "IoU.microwave": 0.691, "IoU.pot": 0.4972, "IoU.animal": NaN, "IoU.bicycle": 0.5401, "IoU.lake": 0.6191, "IoU.dishwasher": 0.528, "IoU.screen": 0.6365, "IoU.blanket": 0.1446, "IoU.sculpture": 0.5419, "IoU.hood": 0.5977, "IoU.sconce": 0.4425, "IoU.vase": 0.356, "IoU.traffic light": 0.2985, "IoU.tray": 0.0862, "IoU.ashcan": 0.4083, "IoU.fan": 0.5668, "IoU.pier": 0.3063, "IoU.crt screen": 0.0428, "IoU.plate": 0.5276, "IoU.monitor": 0.0302, "IoU.bulletin board": 0.3404, "IoU.shower": 0.039, "IoU.radiator": 0.5488, "IoU.glass": 0.1247, "IoU.clock": 0.3567, "IoU.flag": 0.4039, "Acc.wall": 0.875, "Acc.building": 0.9138, "Acc.sky": 0.9709, "Acc.floor": 0.9007, "Acc.tree": 0.8726, "Acc.ceiling": 0.9259, "Acc.road": 0.9095, "Acc.bed ": 0.9521, "Acc.windowpane": 0.782, "Acc.grass": 0.8318, "Acc.cabinet": 0.7399, "Acc.sidewalk": 0.8183, "Acc.person": 0.9098, "Acc.earth": 0.4855, "Acc.door": 0.6263, "Acc.table": 0.745, "Acc.mountain": 0.7487, "Acc.plant": 0.6373, "Acc.curtain": 0.8321, "Acc.chair": 0.7035, "Acc.car": 0.9145, "Acc.water": 0.6721, "Acc.painting": 0.8518, "Acc.sofa": 0.7834, "Acc.shelf": 0.576, "Acc.house": 0.5757, "Acc.sea": 0.8799, "Acc.mirror": 0.7614, "Acc.rug": 0.6878, "Acc.field": 0.4739, "Acc.armchair": 0.566, "Acc.seat": 0.83, "Acc.fence": 0.6477, "Acc.desk": 0.6464, "Acc.rock": 0.6689, "Acc.wardrobe": 0.6289, "Acc.lamp": 0.7276, "Acc.bathtub": 0.823, "Acc.railing": 0.4561, "Acc.cushion": 0.6902, "Acc.base": 0.4332, "Acc.box": 0.342, "Acc.column": 0.5258, "Acc.signboard": 0.5048, "Acc.chest of drawers": 0.57, "Acc.counter": 0.3864, "Acc.sand": 0.7327, "Acc.sink": 0.7828, "Acc.skyscraper": 0.8014, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8543, "Acc.grandstand": 0.6426, "Acc.path": 0.3022, "Acc.stairs": 0.3994, "Acc.runway": 0.9162, "Acc.case": 0.6177, "Acc.pool table": 0.9629, "Acc.pillow": 0.6546, "Acc.screen door": 0.7926, "Acc.stairway": 0.387, "Acc.river": 0.2932, "Acc.bridge": 0.8233, "Acc.bookcase": 0.5123, "Acc.blind": NaN, "Acc.coffee table": 0.7941, "Acc.toilet": 0.8891, "Acc.flower": 0.5939, "Acc.book": 0.6466, "Acc.hill": 0.0753, "Acc.bench": 0.6225, "Acc.countertop": 0.7096, "Acc.stove": 0.8032, "Acc.palm": 0.7159, "Acc.kitchen island": 0.6467, "Acc.computer": 0.8594, "Acc.swivel chair": 0.6675, "Acc.boat": 0.4788, "Acc.bar": 0.308, "Acc.arcade machine": 0.6023, "Acc.hovel": 0.4198, "Acc.bus": 0.956, "Acc.towel": 0.7139, "Acc.light": 0.597, "Acc.truck": 0.4817, "Acc.tower": 0.1318, "Acc.chandelier": 0.8145, "Acc.awning": 0.3414, "Acc.streetlight": 0.2868, "Acc.booth": 0.6778, "Acc.television receiver": NaN, "Acc.airplane": 0.7223, "Acc.dirt track": 0.3826, "Acc.apparel": 0.3882, "Acc.pole": 0.2137, "Acc.land": 0.0655, "Acc.bannister": 0.14, "Acc.escalator": 0.51, "Acc.ottoman": 0.5469, "Acc.bottle": NaN, "Acc.buffet": 0.4344, "Acc.poster": 0.441, "Acc.stage": 0.2581, "Acc.van": 0.5835, "Acc.ship": 0.901, "Acc.fountain": 0.211, "Acc.conveyer belt": 0.8553, "Acc.canopy": 0.1439, "Acc.washer": 0.8075, "Acc.plaything": 0.3431, "Acc.swimming pool": 0.8362, "Acc.stool": 0.4907, "Acc.barrel": 0.7189, "Acc.basket": 0.3909, "Acc.waterfall": 0.6231, "Acc.tent": 0.9868, "Acc.bag": 0.14, "Acc.minibike": 0.8706, "Acc.cradle": NaN, "Acc.oven": 0.5667, "Acc.ball": 0.4731, "Acc.food": 0.3832, "Acc.step": 0.0824, "Acc.tank": 0.594, "Acc.trade name": 0.354, "Acc.microwave": 0.7847, "Acc.pot": 0.5563, "Acc.animal": NaN, "Acc.bicycle": 0.77, "Acc.lake": 0.627, "Acc.dishwasher": 0.6884, "Acc.screen": 0.8794, "Acc.blanket": 0.1714, "Acc.sculpture": 0.7816, "Acc.hood": 0.6557, "Acc.sconce": 0.5565, "Acc.vase": 0.5218, "Acc.traffic light": 0.4515, "Acc.tray": 0.159, "Acc.ashcan": 0.538, "Acc.fan": 0.7302, "Acc.pier": 0.4826, "Acc.crt screen": 0.1136, "Acc.plate": 0.701, "Acc.monitor": 0.0338, "Acc.bulletin board": 0.5243, "Acc.shower": 0.0498, "Acc.radiator": 0.6233, "Acc.glass": 0.1356, "Acc.clock": 0.4314, "Acc.flag": 0.4614} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt deleted file mode 100644 index 11351a0de..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_l.txt +++ /dev/null @@ -1,3201 +0,0 @@ -{"env_info": "sys.platform: linux\nPython: 3.7.10 (default, Feb 26 2021, 18:47:35) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 10.0, V10.0.130\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.1\nOpenCV: 4.5.1\nMMCV: 1.2.7\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+21c6ed5", "seed": null, "exp_name": "upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py"} -{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 15340, "data_time": 0.00999, "decode.loss_seg": 3.98622, "decode.acc_seg": 0.62966, "aux.loss_seg": 1.59154, "aux.acc_seg": 0.69883, "loss": 5.57776, "time": 0.77956} -{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 15340, "data_time": 0.00822, "decode.loss_seg": 4.00528, "decode.acc_seg": 5.76839, "aux.loss_seg": 1.62562, "aux.acc_seg": 1.41262, "loss": 5.6309, "time": 0.69269} -{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 15340, "data_time": 0.00837, "decode.loss_seg": 3.79363, "decode.acc_seg": 27.30092, "aux.loss_seg": 1.61355, "aux.acc_seg": 5.41903, "loss": 5.40718, "time": 0.68136} -{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 15340, "data_time": 0.0089, "decode.loss_seg": 3.32926, "decode.acc_seg": 36.30476, "aux.loss_seg": 1.56368, "aux.acc_seg": 20.04741, "loss": 4.89293, "time": 0.67146} -{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 15340, "data_time": 0.00839, "decode.loss_seg": 2.93106, "decode.acc_seg": 40.89876, "aux.loss_seg": 1.50465, "aux.acc_seg": 35.26796, "loss": 4.43571, "time": 0.67259} -{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 15340, "data_time": 0.00932, "decode.loss_seg": 2.69229, "decode.acc_seg": 42.5608, "aux.loss_seg": 1.43154, "aux.acc_seg": 38.11164, "loss": 4.12383, "time": 0.68319} -{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 2.47744, "decode.acc_seg": 45.40031, "aux.loss_seg": 1.3527, "aux.acc_seg": 40.38183, "loss": 3.83014, "time": 0.67958} -{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 15340, "data_time": 0.00906, "decode.loss_seg": 2.25961, "decode.acc_seg": 46.08815, "aux.loss_seg": 1.26168, "aux.acc_seg": 40.58775, "loss": 3.52129, "time": 0.67204} -{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 15340, "data_time": 0.00804, "decode.loss_seg": 2.21642, "decode.acc_seg": 46.24918, "aux.loss_seg": 1.23469, "aux.acc_seg": 41.01916, "loss": 3.45111, "time": 0.63557} -{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 15340, "data_time": 0.00907, "decode.loss_seg": 2.09847, "decode.acc_seg": 47.21936, "aux.loss_seg": 1.19076, "aux.acc_seg": 42.67682, "loss": 3.28923, "time": 0.6821} -{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 15340, "data_time": 0.00876, "decode.loss_seg": 1.93765, "decode.acc_seg": 49.5588, "aux.loss_seg": 1.1323, "aux.acc_seg": 44.31339, "loss": 3.06995, "time": 0.68029} -{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 1.87121, "decode.acc_seg": 48.40321, "aux.loss_seg": 1.07733, "aux.acc_seg": 43.60153, "loss": 2.94854, "time": 0.66274} -{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 15340, "data_time": 0.00933, "decode.loss_seg": 1.71065, "decode.acc_seg": 48.09027, "aux.loss_seg": 0.99938, "aux.acc_seg": 43.60332, "loss": 2.71003, "time": 0.65355} -{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 15340, "data_time": 0.00873, "decode.loss_seg": 1.7421, "decode.acc_seg": 49.6512, "aux.loss_seg": 1.01853, "aux.acc_seg": 45.01955, "loss": 2.76063, "time": 0.656} -{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 15340, "data_time": 0.00887, "decode.loss_seg": 1.56228, "decode.acc_seg": 51.74235, "aux.loss_seg": 0.94432, "aux.acc_seg": 46.47245, "loss": 2.5066, "time": 0.68249} -{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 15340, "data_time": 0.00803, "decode.loss_seg": 1.57665, "decode.acc_seg": 50.0841, "aux.loss_seg": 0.91994, "aux.acc_seg": 45.27494, "loss": 2.49659, "time": 0.68053} -{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 15340, "data_time": 0.0094, "decode.loss_seg": 1.48815, "decode.acc_seg": 51.92739, "aux.loss_seg": 0.87156, "aux.acc_seg": 47.24831, "loss": 2.35971, "time": 0.66826} -{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 15340, "data_time": 0.00937, "decode.loss_seg": 1.49642, "decode.acc_seg": 52.03354, "aux.loss_seg": 0.86152, "aux.acc_seg": 47.36787, "loss": 2.35794, "time": 0.66633} -{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 1.38577, "decode.acc_seg": 51.94003, "aux.loss_seg": 0.79732, "aux.acc_seg": 46.98684, "loss": 2.18309, "time": 0.66973} -{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 15340, "data_time": 0.00934, "decode.loss_seg": 1.35247, "decode.acc_seg": 52.9551, "aux.loss_seg": 0.76593, "aux.acc_seg": 48.5, "loss": 2.11841, "time": 0.64316} -{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 15340, "data_time": 0.00795, "decode.loss_seg": 1.35767, "decode.acc_seg": 50.00004, "aux.loss_seg": 0.73997, "aux.acc_seg": 45.96726, "loss": 2.09764, "time": 0.66616} -{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 15340, "data_time": 0.00828, "decode.loss_seg": 1.32435, "decode.acc_seg": 53.37805, "aux.loss_seg": 0.72741, "aux.acc_seg": 48.38759, "loss": 2.05176, "time": 0.64275} -{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 15340, "data_time": 0.00892, "decode.loss_seg": 1.30291, "decode.acc_seg": 51.97504, "aux.loss_seg": 0.69974, "aux.acc_seg": 47.11564, "loss": 2.00265, "time": 0.67689} -{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 15340, "data_time": 0.00896, "decode.loss_seg": 1.27033, "decode.acc_seg": 54.10222, "aux.loss_seg": 0.68617, "aux.acc_seg": 49.1924, "loss": 1.9565, "time": 0.67515} -{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 15340, "data_time": 0.00828, "decode.loss_seg": 1.20734, "decode.acc_seg": 52.65833, "aux.loss_seg": 0.64154, "aux.acc_seg": 48.52767, "loss": 1.84888, "time": 0.6473} -{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 15340, "data_time": 0.21012, "decode.loss_seg": 1.2149, "decode.acc_seg": 51.83027, "aux.loss_seg": 0.62827, "aux.acc_seg": 48.22517, "loss": 1.84317, "time": 0.86019} -{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 15340, "data_time": 0.00826, "decode.loss_seg": 1.15658, "decode.acc_seg": 54.74496, "aux.loss_seg": 0.60932, "aux.acc_seg": 50.72793, "loss": 1.7659, "time": 0.65887} -{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 15340, "data_time": 0.00799, "decode.loss_seg": 1.13091, "decode.acc_seg": 53.77716, "aux.loss_seg": 0.58498, "aux.acc_seg": 50.64105, "loss": 1.71589, "time": 0.6451} -{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 15340, "data_time": 0.00814, "decode.loss_seg": 1.10768, "decode.acc_seg": 54.39557, "aux.loss_seg": 0.57185, "aux.acc_seg": 51.4573, "loss": 1.67952, "time": 0.64685} -{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 15340, "data_time": 0.00815, "decode.loss_seg": 1.13438, "decode.acc_seg": 53.88177, "aux.loss_seg": 0.57786, "aux.acc_seg": 51.16059, "loss": 1.71224, "time": 0.66396} -{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 15340, "data_time": 0.00984, "decode.loss_seg": 1.14491, "decode.acc_seg": 53.76347, "aux.loss_seg": 0.57259, "aux.acc_seg": 51.18615, "loss": 1.7175, "time": 0.68273} -{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 15340, "data_time": 0.00809, "decode.loss_seg": 1.12552, "decode.acc_seg": 54.286, "aux.loss_seg": 0.56866, "aux.acc_seg": 51.00421, "loss": 1.69418, "time": 0.67861} -{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 15340, "data_time": 0.00874, "decode.loss_seg": 1.08103, "decode.acc_seg": 53.97187, "aux.loss_seg": 0.53726, "aux.acc_seg": 51.35629, "loss": 1.61829, "time": 0.67035} -{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 15340, "data_time": 0.00919, "decode.loss_seg": 1.12266, "decode.acc_seg": 54.32742, "aux.loss_seg": 0.55919, "aux.acc_seg": 51.81421, "loss": 1.68185, "time": 0.67798} -{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 15340, "data_time": 0.00786, "decode.loss_seg": 1.07519, "decode.acc_seg": 54.77669, "aux.loss_seg": 0.53556, "aux.acc_seg": 51.87604, "loss": 1.61075, "time": 0.65239} -{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 15340, "data_time": 0.00867, "decode.loss_seg": 1.04135, "decode.acc_seg": 55.79272, "aux.loss_seg": 0.5216, "aux.acc_seg": 52.47461, "loss": 1.56294, "time": 0.67657} -{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 15340, "data_time": 0.00899, "decode.loss_seg": 1.038, "decode.acc_seg": 55.91149, "aux.loss_seg": 0.51554, "aux.acc_seg": 53.46777, "loss": 1.55354, "time": 0.6765} -{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 15340, "data_time": 0.00883, "decode.loss_seg": 1.00182, "decode.acc_seg": 55.63459, "aux.loss_seg": 0.49611, "aux.acc_seg": 52.86976, "loss": 1.49794, "time": 0.67899} -{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 15340, "data_time": 0.00779, "decode.loss_seg": 1.00108, "decode.acc_seg": 55.49559, "aux.loss_seg": 0.50045, "aux.acc_seg": 52.28869, "loss": 1.50153, "time": 0.66405} -{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 15340, "data_time": 0.00797, "decode.loss_seg": 0.97755, "decode.acc_seg": 56.57738, "aux.loss_seg": 0.48855, "aux.acc_seg": 53.60396, "loss": 1.46611, "time": 0.68821} -{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 15340, "data_time": 0.00884, "decode.loss_seg": 1.00383, "decode.acc_seg": 56.69913, "aux.loss_seg": 0.49645, "aux.acc_seg": 53.83939, "loss": 1.50029, "time": 0.68788} -{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 1.0344, "decode.acc_seg": 53.33398, "aux.loss_seg": 0.49653, "aux.acc_seg": 51.27149, "loss": 1.53093, "time": 0.66236} -{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 15340, "data_time": 0.00814, "decode.loss_seg": 1.02418, "decode.acc_seg": 55.92262, "aux.loss_seg": 0.50114, "aux.acc_seg": 53.14512, "loss": 1.52533, "time": 0.63849} -{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 15340, "data_time": 0.00794, "decode.loss_seg": 0.94578, "decode.acc_seg": 57.15318, "aux.loss_seg": 0.47062, "aux.acc_seg": 54.31739, "loss": 1.41641, "time": 0.64762} -{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 15340, "data_time": 0.00775, "decode.loss_seg": 0.9491, "decode.acc_seg": 57.24715, "aux.loss_seg": 0.47292, "aux.acc_seg": 54.48653, "loss": 1.42202, "time": 0.66361} -{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 1.00777, "decode.acc_seg": 55.95613, "aux.loss_seg": 0.49482, "aux.acc_seg": 53.0932, "loss": 1.50258, "time": 0.68875} -{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 15340, "data_time": 0.00872, "decode.loss_seg": 0.93912, "decode.acc_seg": 57.45174, "aux.loss_seg": 0.45589, "aux.acc_seg": 55.22475, "loss": 1.39501, "time": 0.67006} -{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 15340, "data_time": 0.00881, "decode.loss_seg": 0.93087, "decode.acc_seg": 55.40987, "aux.loss_seg": 0.45648, "aux.acc_seg": 52.9523, "loss": 1.38734, "time": 0.67073} -{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.92285, "decode.acc_seg": 55.37768, "aux.loss_seg": 0.45743, "aux.acc_seg": 52.29159, "loss": 1.38028, "time": 0.66502} -{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 15340, "data_time": 0.00838, "decode.loss_seg": 0.88871, "decode.acc_seg": 57.57222, "aux.loss_seg": 0.43797, "aux.acc_seg": 54.72649, "loss": 1.32667, "time": 0.65764} -{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 15340, "data_time": 0.22262, "decode.loss_seg": 0.85481, "decode.acc_seg": 58.39807, "aux.loss_seg": 0.42786, "aux.acc_seg": 55.28158, "loss": 1.28267, "time": 0.90792} -{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 15340, "data_time": 0.00935, "decode.loss_seg": 0.87099, "decode.acc_seg": 57.73446, "aux.loss_seg": 0.42608, "aux.acc_seg": 54.9523, "loss": 1.29707, "time": 0.66523} -{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 15340, "data_time": 0.00797, "decode.loss_seg": 0.87107, "decode.acc_seg": 57.86258, "aux.loss_seg": 0.42404, "aux.acc_seg": 55.33634, "loss": 1.29511, "time": 0.66452} -{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 15340, "data_time": 0.00801, "decode.loss_seg": 0.81276, "decode.acc_seg": 58.09025, "aux.loss_seg": 0.40681, "aux.acc_seg": 55.25547, "loss": 1.21956, "time": 0.66949} -{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 15340, "data_time": 0.00874, "decode.loss_seg": 0.87072, "decode.acc_seg": 57.81627, "aux.loss_seg": 0.43593, "aux.acc_seg": 54.46702, "loss": 1.30665, "time": 0.68181} -{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.84523, "decode.acc_seg": 59.05859, "aux.loss_seg": 0.41479, "aux.acc_seg": 56.75603, "loss": 1.26002, "time": 0.67042} -{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 15340, "data_time": 0.00913, "decode.loss_seg": 0.83284, "decode.acc_seg": 59.13086, "aux.loss_seg": 0.41334, "aux.acc_seg": 56.55189, "loss": 1.24617, "time": 0.65972} -{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 15340, "data_time": 0.00809, "decode.loss_seg": 0.8514, "decode.acc_seg": 59.33262, "aux.loss_seg": 0.41948, "aux.acc_seg": 56.52024, "loss": 1.27088, "time": 0.63091} -{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 15340, "data_time": 0.00796, "decode.loss_seg": 0.81593, "decode.acc_seg": 59.79257, "aux.loss_seg": 0.40301, "aux.acc_seg": 57.11899, "loss": 1.21895, "time": 0.67416} -{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 15340, "data_time": 0.00819, "decode.loss_seg": 0.78125, "decode.acc_seg": 57.96421, "aux.loss_seg": 0.38717, "aux.acc_seg": 55.02788, "loss": 1.16842, "time": 0.64077} -{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 15340, "data_time": 0.00827, "decode.loss_seg": 0.82822, "decode.acc_seg": 59.78132, "aux.loss_seg": 0.40894, "aux.acc_seg": 56.98488, "loss": 1.23716, "time": 0.67533} -{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.83944, "decode.acc_seg": 59.3422, "aux.loss_seg": 0.40145, "aux.acc_seg": 57.22589, "loss": 1.24089, "time": 0.65697} -{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 15340, "data_time": 0.00872, "decode.loss_seg": 0.79767, "decode.acc_seg": 58.8611, "aux.loss_seg": 0.39133, "aux.acc_seg": 56.15521, "loss": 1.189, "time": 0.66367} -{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 15340, "data_time": 0.00894, "decode.loss_seg": 0.80296, "decode.acc_seg": 58.99148, "aux.loss_seg": 0.39614, "aux.acc_seg": 55.95937, "loss": 1.1991, "time": 0.66623} -{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.77188, "decode.acc_seg": 59.12035, "aux.loss_seg": 0.38056, "aux.acc_seg": 56.44095, "loss": 1.15244, "time": 0.64487} -{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 15340, "data_time": 0.00795, "decode.loss_seg": 0.79231, "decode.acc_seg": 58.0454, "aux.loss_seg": 0.38399, "aux.acc_seg": 55.50006, "loss": 1.17629, "time": 0.65645} -{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 15340, "data_time": 0.00868, "decode.loss_seg": 0.7886, "decode.acc_seg": 58.48596, "aux.loss_seg": 0.38246, "aux.acc_seg": 56.26638, "loss": 1.17106, "time": 0.67947} -{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 15340, "data_time": 0.00887, "decode.loss_seg": 0.80735, "decode.acc_seg": 58.85431, "aux.loss_seg": 0.39212, "aux.acc_seg": 56.5703, "loss": 1.19947, "time": 0.66266} -{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 15340, "data_time": 0.00887, "decode.loss_seg": 0.78854, "decode.acc_seg": 58.40874, "aux.loss_seg": 0.38585, "aux.acc_seg": 55.62229, "loss": 1.17439, "time": 0.66078} -{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 15340, "data_time": 0.00787, "decode.loss_seg": 0.76522, "decode.acc_seg": 59.82676, "aux.loss_seg": 0.37369, "aux.acc_seg": 57.42871, "loss": 1.13891, "time": 0.64482} -{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 15340, "data_time": 0.00864, "decode.loss_seg": 0.79172, "decode.acc_seg": 57.92094, "aux.loss_seg": 0.38332, "aux.acc_seg": 56.11143, "loss": 1.17503, "time": 0.65243} -{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 15340, "data_time": 0.00895, "decode.loss_seg": 0.8441, "decode.acc_seg": 58.22506, "aux.loss_seg": 0.39421, "aux.acc_seg": 56.35761, "loss": 1.23832, "time": 0.65946} -{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 15340, "data_time": 0.00823, "decode.loss_seg": 0.80956, "decode.acc_seg": 59.54061, "aux.loss_seg": 0.38675, "aux.acc_seg": 57.50208, "loss": 1.19631, "time": 0.65484} -{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 15340, "data_time": 0.0087, "decode.loss_seg": 0.79833, "decode.acc_seg": 59.05409, "aux.loss_seg": 0.38564, "aux.acc_seg": 56.40548, "loss": 1.18397, "time": 0.65101} -{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 15340, "data_time": 0.00833, "decode.loss_seg": 0.76993, "decode.acc_seg": 57.96328, "aux.loss_seg": 0.3715, "aux.acc_seg": 55.74193, "loss": 1.14143, "time": 0.67043} -{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 15340, "data_time": 0.22723, "decode.loss_seg": 0.77382, "decode.acc_seg": 59.54852, "aux.loss_seg": 0.37084, "aux.acc_seg": 57.0696, "loss": 1.14466, "time": 0.88215} -{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 15340, "data_time": 0.00967, "decode.loss_seg": 0.74542, "decode.acc_seg": 58.95235, "aux.loss_seg": 0.36105, "aux.acc_seg": 56.67957, "loss": 1.10647, "time": 0.65207} -{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 15340, "data_time": 0.00877, "decode.loss_seg": 0.75274, "decode.acc_seg": 60.24572, "aux.loss_seg": 0.36903, "aux.acc_seg": 57.59807, "loss": 1.12177, "time": 0.67274} -{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 15340, "data_time": 0.00973, "decode.loss_seg": 0.7335, "decode.acc_seg": 60.03848, "aux.loss_seg": 0.35604, "aux.acc_seg": 57.78983, "loss": 1.08954, "time": 0.67026} -{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 15340, "data_time": 0.0096, "decode.loss_seg": 0.72058, "decode.acc_seg": 61.68371, "aux.loss_seg": 0.35353, "aux.acc_seg": 59.22143, "loss": 1.07411, "time": 0.6871} -{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 15340, "data_time": 0.00965, "decode.loss_seg": 0.71123, "decode.acc_seg": 60.72875, "aux.loss_seg": 0.34577, "aux.acc_seg": 58.64281, "loss": 1.057, "time": 0.6532} -{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 15340, "data_time": 0.00997, "decode.loss_seg": 0.74398, "decode.acc_seg": 60.21224, "aux.loss_seg": 0.35584, "aux.acc_seg": 57.80461, "loss": 1.09982, "time": 0.65074} -{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 15340, "data_time": 0.00948, "decode.loss_seg": 0.75013, "decode.acc_seg": 58.519, "aux.loss_seg": 0.3545, "aux.acc_seg": 56.77056, "loss": 1.10463, "time": 0.66845} -{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 15340, "data_time": 0.00874, "decode.loss_seg": 0.7484, "decode.acc_seg": 58.73497, "aux.loss_seg": 0.35671, "aux.acc_seg": 56.74739, "loss": 1.10511, "time": 0.6601} -{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 15340, "data_time": 0.00939, "decode.loss_seg": 0.71078, "decode.acc_seg": 60.15521, "aux.loss_seg": 0.34006, "aux.acc_seg": 58.07485, "loss": 1.05084, "time": 0.66621} -{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 15340, "data_time": 0.00787, "decode.loss_seg": 0.73932, "decode.acc_seg": 59.768, "aux.loss_seg": 0.35717, "aux.acc_seg": 57.33962, "loss": 1.09649, "time": 0.66169} -{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 15340, "data_time": 0.00856, "decode.loss_seg": 0.73047, "decode.acc_seg": 60.14355, "aux.loss_seg": 0.3442, "aux.acc_seg": 58.11082, "loss": 1.07467, "time": 0.67406} -{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 15340, "data_time": 0.00773, "decode.loss_seg": 0.73993, "decode.acc_seg": 61.36922, "aux.loss_seg": 0.3537, "aux.acc_seg": 59.27689, "loss": 1.09363, "time": 0.64128} -{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 15340, "data_time": 0.00805, "decode.loss_seg": 0.71711, "decode.acc_seg": 60.7071, "aux.loss_seg": 0.33626, "aux.acc_seg": 58.437, "loss": 1.05337, "time": 0.6445} -{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.7426, "decode.acc_seg": 60.23343, "aux.loss_seg": 0.34758, "aux.acc_seg": 58.30056, "loss": 1.09019, "time": 0.66519} -{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 15340, "data_time": 0.00917, "decode.loss_seg": 0.76037, "decode.acc_seg": 60.43695, "aux.loss_seg": 0.35524, "aux.acc_seg": 58.48869, "loss": 1.11562, "time": 0.65765} -{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 15340, "data_time": 0.00866, "decode.loss_seg": 0.71388, "decode.acc_seg": 61.37046, "aux.loss_seg": 0.33733, "aux.acc_seg": 59.78307, "loss": 1.05122, "time": 0.6802} -{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.69689, "decode.acc_seg": 61.1365, "aux.loss_seg": 0.33389, "aux.acc_seg": 58.94129, "loss": 1.03078, "time": 0.65112} -{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 15340, "data_time": 0.00796, "decode.loss_seg": 0.69452, "decode.acc_seg": 60.57029, "aux.loss_seg": 0.32738, "aux.acc_seg": 59.01955, "loss": 1.0219, "time": 0.64431} -{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 15340, "data_time": 0.00855, "decode.loss_seg": 0.74796, "decode.acc_seg": 59.80887, "aux.loss_seg": 0.34783, "aux.acc_seg": 57.79701, "loss": 1.09579, "time": 0.65935} -{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 15340, "data_time": 0.00871, "decode.loss_seg": 0.67521, "decode.acc_seg": 61.29654, "aux.loss_seg": 0.31442, "aux.acc_seg": 59.72272, "loss": 0.98963, "time": 0.65982} -{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 15340, "data_time": 0.00777, "decode.loss_seg": 0.71827, "decode.acc_seg": 61.29319, "aux.loss_seg": 0.32964, "aux.acc_seg": 59.45012, "loss": 1.04791, "time": 0.65842} -{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 15340, "data_time": 0.00891, "decode.loss_seg": 0.72165, "decode.acc_seg": 59.71952, "aux.loss_seg": 0.32984, "aux.acc_seg": 58.16429, "loss": 1.05149, "time": 0.66634} -{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.71519, "decode.acc_seg": 61.90166, "aux.loss_seg": 0.33112, "aux.acc_seg": 60.17421, "loss": 1.04631, "time": 0.68408} -{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 0.68897, "decode.acc_seg": 60.74441, "aux.loss_seg": 0.31518, "aux.acc_seg": 59.34353, "loss": 1.00415, "time": 0.6562} -{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.69417, "decode.acc_seg": 61.33818, "aux.loss_seg": 0.3277, "aux.acc_seg": 59.60849, "loss": 1.02186, "time": 0.66943} -{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 15340, "data_time": 0.21829, "decode.loss_seg": 0.65224, "decode.acc_seg": 62.39554, "aux.loss_seg": 0.30758, "aux.acc_seg": 60.56895, "loss": 0.95983, "time": 0.86065} -{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 15340, "data_time": 0.00804, "decode.loss_seg": 0.69853, "decode.acc_seg": 61.21755, "aux.loss_seg": 0.32761, "aux.acc_seg": 59.66221, "loss": 1.02614, "time": 0.63995} -{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 15340, "data_time": 0.00823, "decode.loss_seg": 0.65466, "decode.acc_seg": 61.31825, "aux.loss_seg": 0.30772, "aux.acc_seg": 59.88717, "loss": 0.96238, "time": 0.66532} -{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 15340, "data_time": 0.00855, "decode.loss_seg": 0.66034, "decode.acc_seg": 63.23598, "aux.loss_seg": 0.30798, "aux.acc_seg": 61.74685, "loss": 0.96833, "time": 0.66917} -{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 15340, "data_time": 0.00842, "decode.loss_seg": 0.69123, "decode.acc_seg": 62.09003, "aux.loss_seg": 0.32117, "aux.acc_seg": 60.82811, "loss": 1.0124, "time": 0.6784} -{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.63965, "decode.acc_seg": 62.6641, "aux.loss_seg": 0.30164, "aux.acc_seg": 60.95298, "loss": 0.94128, "time": 0.65833} -{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 15340, "data_time": 0.0089, "decode.loss_seg": 0.68224, "decode.acc_seg": 60.8159, "aux.loss_seg": 0.31246, "aux.acc_seg": 59.34568, "loss": 0.9947, "time": 0.68122} -{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 15340, "data_time": 0.00878, "decode.loss_seg": 0.67478, "decode.acc_seg": 60.52056, "aux.loss_seg": 0.31378, "aux.acc_seg": 58.88421, "loss": 0.98856, "time": 0.67271} -{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.66096, "decode.acc_seg": 62.3711, "aux.loss_seg": 0.30782, "aux.acc_seg": 61.07758, "loss": 0.96878, "time": 0.67835} -{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.68549, "decode.acc_seg": 62.18626, "aux.loss_seg": 0.31467, "aux.acc_seg": 60.5592, "loss": 1.00016, "time": 0.65812} -{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 15340, "data_time": 0.00799, "decode.loss_seg": 0.71918, "decode.acc_seg": 60.94547, "aux.loss_seg": 0.32494, "aux.acc_seg": 59.41334, "loss": 1.04412, "time": 0.64686} -{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.66653, "decode.acc_seg": 61.63394, "aux.loss_seg": 0.30716, "aux.acc_seg": 60.25114, "loss": 0.97368, "time": 0.6615} -{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 0.67435, "decode.acc_seg": 61.32648, "aux.loss_seg": 0.30802, "aux.acc_seg": 60.0889, "loss": 0.98237, "time": 0.67724} -{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 15340, "data_time": 0.00899, "decode.loss_seg": 0.70467, "decode.acc_seg": 62.5061, "aux.loss_seg": 0.31755, "aux.acc_seg": 61.00783, "loss": 1.02222, "time": 0.66193} -{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 15340, "data_time": 0.00792, "decode.loss_seg": 0.62566, "decode.acc_seg": 62.16875, "aux.loss_seg": 0.28678, "aux.acc_seg": 60.9415, "loss": 0.91244, "time": 0.6554} -{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 15340, "data_time": 0.0093, "decode.loss_seg": 0.69542, "decode.acc_seg": 61.01002, "aux.loss_seg": 0.32044, "aux.acc_seg": 59.43691, "loss": 1.01587, "time": 0.6804} -{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 15340, "data_time": 0.00905, "decode.loss_seg": 0.68577, "decode.acc_seg": 60.90172, "aux.loss_seg": 0.3078, "aux.acc_seg": 59.63509, "loss": 0.99357, "time": 0.66171} -{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 15340, "data_time": 0.00806, "decode.loss_seg": 0.72047, "decode.acc_seg": 60.37061, "aux.loss_seg": 0.32794, "aux.acc_seg": 58.98336, "loss": 1.04841, "time": 0.65523} -{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 15340, "data_time": 0.00799, "decode.loss_seg": 0.67795, "decode.acc_seg": 61.98021, "aux.loss_seg": 0.30615, "aux.acc_seg": 60.71605, "loss": 0.9841, "time": 0.6582} -{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 15340, "data_time": 0.00894, "decode.loss_seg": 0.69464, "decode.acc_seg": 61.28596, "aux.loss_seg": 0.31061, "aux.acc_seg": 60.24121, "loss": 1.00525, "time": 0.64143} -{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 15340, "data_time": 0.00889, "decode.loss_seg": 0.72136, "decode.acc_seg": 60.47046, "aux.loss_seg": 0.32889, "aux.acc_seg": 59.05327, "loss": 1.05025, "time": 0.66744} -{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 15340, "data_time": 0.00917, "decode.loss_seg": 0.65126, "decode.acc_seg": 61.09465, "aux.loss_seg": 0.29901, "aux.acc_seg": 59.56548, "loss": 0.95028, "time": 0.67445} -{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 15340, "data_time": 0.00885, "decode.loss_seg": 0.69441, "decode.acc_seg": 63.11312, "aux.loss_seg": 0.31041, "aux.acc_seg": 62.02396, "loss": 1.00482, "time": 0.6723} -{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 15340, "data_time": 0.00828, "decode.loss_seg": 0.64604, "decode.acc_seg": 62.33404, "aux.loss_seg": 0.29427, "aux.acc_seg": 60.83169, "loss": 0.9403, "time": 0.68399} -{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 15340, "data_time": 0.00919, "decode.loss_seg": 0.65075, "decode.acc_seg": 62.43974, "aux.loss_seg": 0.29984, "aux.acc_seg": 60.8203, "loss": 0.95059, "time": 0.67738} -{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 15340, "data_time": 0.21073, "decode.loss_seg": 0.64379, "decode.acc_seg": 61.42129, "aux.loss_seg": 0.29501, "aux.acc_seg": 59.97508, "loss": 0.9388, "time": 0.85843} -{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 15340, "data_time": 0.00792, "decode.loss_seg": 0.62436, "decode.acc_seg": 61.80073, "aux.loss_seg": 0.27992, "aux.acc_seg": 61.10504, "loss": 0.90429, "time": 0.66054} -{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 15340, "data_time": 0.00846, "decode.loss_seg": 0.6319, "decode.acc_seg": 62.41953, "aux.loss_seg": 0.28784, "aux.acc_seg": 60.90291, "loss": 0.91973, "time": 0.67279} -{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 15340, "data_time": 0.00894, "decode.loss_seg": 0.60915, "decode.acc_seg": 63.06419, "aux.loss_seg": 0.28055, "aux.acc_seg": 61.70275, "loss": 0.88971, "time": 0.68227} -{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.64475, "decode.acc_seg": 63.56299, "aux.loss_seg": 0.29794, "aux.acc_seg": 61.83003, "loss": 0.94269, "time": 0.6565} -{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 15340, "data_time": 0.00892, "decode.loss_seg": 0.63643, "decode.acc_seg": 62.93273, "aux.loss_seg": 0.29075, "aux.acc_seg": 61.64833, "loss": 0.92718, "time": 0.68072} -{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 15340, "data_time": 0.00884, "decode.loss_seg": 0.62455, "decode.acc_seg": 62.77746, "aux.loss_seg": 0.28563, "aux.acc_seg": 61.36882, "loss": 0.91018, "time": 0.67177} -{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 15340, "data_time": 0.00879, "decode.loss_seg": 0.63901, "decode.acc_seg": 62.60557, "aux.loss_seg": 0.2888, "aux.acc_seg": 61.21532, "loss": 0.92781, "time": 0.65979} -{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 15340, "data_time": 0.00897, "decode.loss_seg": 0.64697, "decode.acc_seg": 61.80702, "aux.loss_seg": 0.29197, "aux.acc_seg": 60.7445, "loss": 0.93893, "time": 0.68019} -{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 15340, "data_time": 0.00777, "decode.loss_seg": 0.60265, "decode.acc_seg": 61.72384, "aux.loss_seg": 0.27769, "aux.acc_seg": 60.39092, "loss": 0.88034, "time": 0.67804} -{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 15340, "data_time": 0.00873, "decode.loss_seg": 0.59112, "decode.acc_seg": 62.70733, "aux.loss_seg": 0.26912, "aux.acc_seg": 61.79981, "loss": 0.86024, "time": 0.6565} -{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 15340, "data_time": 0.00877, "decode.loss_seg": 0.61777, "decode.acc_seg": 62.65934, "aux.loss_seg": 0.2796, "aux.acc_seg": 61.28014, "loss": 0.89737, "time": 0.67565} -{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 15340, "data_time": 0.0087, "decode.loss_seg": 0.59512, "decode.acc_seg": 62.79619, "aux.loss_seg": 0.26976, "aux.acc_seg": 61.75077, "loss": 0.86488, "time": 0.67925} -{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 15340, "data_time": 0.00884, "decode.loss_seg": 0.60618, "decode.acc_seg": 63.21014, "aux.loss_seg": 0.27584, "aux.acc_seg": 61.88346, "loss": 0.88202, "time": 0.68016} -{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 15340, "data_time": 0.00886, "decode.loss_seg": 0.59813, "decode.acc_seg": 63.00317, "aux.loss_seg": 0.27495, "aux.acc_seg": 61.41835, "loss": 0.87308, "time": 0.67609} -{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 15340, "data_time": 0.00948, "decode.loss_seg": 0.6145, "decode.acc_seg": 63.65442, "aux.loss_seg": 0.27759, "aux.acc_seg": 62.44802, "loss": 0.89209, "time": 0.66534} -{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 15340, "data_time": 0.00916, "decode.loss_seg": 0.59067, "decode.acc_seg": 62.66374, "aux.loss_seg": 0.27051, "aux.acc_seg": 61.19339, "loss": 0.86118, "time": 0.67794} -{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 15340, "data_time": 0.0091, "decode.loss_seg": 0.61323, "decode.acc_seg": 62.19574, "aux.loss_seg": 0.27785, "aux.acc_seg": 60.97489, "loss": 0.89109, "time": 0.68447} -{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 15340, "data_time": 0.00912, "decode.loss_seg": 0.62842, "decode.acc_seg": 62.11954, "aux.loss_seg": 0.28295, "aux.acc_seg": 60.8441, "loss": 0.91136, "time": 0.64211} -{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 15340, "data_time": 0.00782, "decode.loss_seg": 0.59373, "decode.acc_seg": 63.49521, "aux.loss_seg": 0.27271, "aux.acc_seg": 62.19076, "loss": 0.86644, "time": 0.64551} -{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 15340, "data_time": 0.00787, "decode.loss_seg": 0.66488, "decode.acc_seg": 62.16931, "aux.loss_seg": 0.29472, "aux.acc_seg": 61.11526, "loss": 0.9596, "time": 0.63535} -{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 15340, "data_time": 0.00952, "decode.loss_seg": 0.61619, "decode.acc_seg": 63.02422, "aux.loss_seg": 0.2788, "aux.acc_seg": 61.54923, "loss": 0.89499, "time": 0.67664} -{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 15340, "data_time": 0.00896, "decode.loss_seg": 0.64244, "decode.acc_seg": 62.23519, "aux.loss_seg": 0.2857, "aux.acc_seg": 61.18551, "loss": 0.92815, "time": 0.68093} -{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 15340, "data_time": 0.01032, "decode.loss_seg": 0.6424, "decode.acc_seg": 62.14103, "aux.loss_seg": 0.2893, "aux.acc_seg": 61.03465, "loss": 0.93171, "time": 0.65962} -{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 15340, "data_time": 0.00827, "decode.loss_seg": 0.62397, "decode.acc_seg": 61.48707, "aux.loss_seg": 0.2775, "aux.acc_seg": 60.35818, "loss": 0.90148, "time": 0.67391} -{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 15340, "data_time": 0.2196, "decode.loss_seg": 0.62712, "decode.acc_seg": 62.15102, "aux.loss_seg": 0.28514, "aux.acc_seg": 60.86711, "loss": 0.91226, "time": 0.89243} -{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 15340, "data_time": 0.0092, "decode.loss_seg": 0.6105, "decode.acc_seg": 63.91423, "aux.loss_seg": 0.27312, "aux.acc_seg": 62.63171, "loss": 0.88362, "time": 0.66353} -{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 15340, "data_time": 0.00971, "decode.loss_seg": 0.60407, "decode.acc_seg": 62.77251, "aux.loss_seg": 0.2714, "aux.acc_seg": 61.6701, "loss": 0.87546, "time": 0.66278} -{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 15340, "data_time": 0.0099, "decode.loss_seg": 0.58386, "decode.acc_seg": 64.15865, "aux.loss_seg": 0.26264, "aux.acc_seg": 62.88548, "loss": 0.8465, "time": 0.67078} -{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 15340, "data_time": 0.00957, "decode.loss_seg": 0.59034, "decode.acc_seg": 63.51869, "aux.loss_seg": 0.26689, "aux.acc_seg": 62.44463, "loss": 0.85724, "time": 0.67045} -{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 15340, "data_time": 0.01053, "decode.loss_seg": 0.60007, "decode.acc_seg": 63.44745, "aux.loss_seg": 0.27282, "aux.acc_seg": 61.98045, "loss": 0.87289, "time": 0.67774} -{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 15340, "data_time": 0.01038, "decode.loss_seg": 0.59748, "decode.acc_seg": 63.01853, "aux.loss_seg": 0.26918, "aux.acc_seg": 61.90538, "loss": 0.86665, "time": 0.65298} -{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 15340, "data_time": 0.00931, "decode.loss_seg": 0.58518, "decode.acc_seg": 63.951, "aux.loss_seg": 0.26204, "aux.acc_seg": 62.74031, "loss": 0.84722, "time": 0.66964} -{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 15340, "data_time": 0.01039, "decode.loss_seg": 0.62517, "decode.acc_seg": 62.05843, "aux.loss_seg": 0.2744, "aux.acc_seg": 61.25089, "loss": 0.89957, "time": 0.66017} -{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 15340, "data_time": 0.00957, "decode.loss_seg": 0.5738, "decode.acc_seg": 64.25796, "aux.loss_seg": 0.26213, "aux.acc_seg": 62.93053, "loss": 0.83593, "time": 0.65282} -{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 15340, "data_time": 0.01041, "decode.loss_seg": 0.58537, "decode.acc_seg": 63.04433, "aux.loss_seg": 0.2648, "aux.acc_seg": 61.67901, "loss": 0.85017, "time": 0.68442} -{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 15340, "data_time": 0.01121, "decode.loss_seg": 0.60607, "decode.acc_seg": 62.27322, "aux.loss_seg": 0.2741, "aux.acc_seg": 60.63, "loss": 0.88017, "time": 0.68338} -{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 15340, "data_time": 0.00955, "decode.loss_seg": 0.60189, "decode.acc_seg": 62.04395, "aux.loss_seg": 0.27063, "aux.acc_seg": 60.86806, "loss": 0.87252, "time": 0.67304} -{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 15340, "data_time": 0.00922, "decode.loss_seg": 0.62496, "decode.acc_seg": 63.09222, "aux.loss_seg": 0.28305, "aux.acc_seg": 61.3865, "loss": 0.90801, "time": 0.65714} -{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 15340, "data_time": 0.01057, "decode.loss_seg": 0.59847, "decode.acc_seg": 64.53653, "aux.loss_seg": 0.26782, "aux.acc_seg": 63.47113, "loss": 0.8663, "time": 0.66864} -{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 15340, "data_time": 0.00962, "decode.loss_seg": 0.62779, "decode.acc_seg": 62.61158, "aux.loss_seg": 0.27684, "aux.acc_seg": 61.5963, "loss": 0.90463, "time": 0.66942} -{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 15340, "data_time": 0.01043, "decode.loss_seg": 0.60612, "decode.acc_seg": 62.51998, "aux.loss_seg": 0.26978, "aux.acc_seg": 61.85328, "loss": 0.8759, "time": 0.67004} -{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 15340, "data_time": 0.0095, "decode.loss_seg": 0.61207, "decode.acc_seg": 63.55512, "aux.loss_seg": 0.27004, "aux.acc_seg": 62.30968, "loss": 0.88211, "time": 0.66382} -{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 15340, "data_time": 0.01018, "decode.loss_seg": 0.5961, "decode.acc_seg": 64.56852, "aux.loss_seg": 0.26571, "aux.acc_seg": 63.39348, "loss": 0.86181, "time": 0.66064} -{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 15340, "data_time": 0.01025, "decode.loss_seg": 0.58694, "decode.acc_seg": 63.81264, "aux.loss_seg": 0.26117, "aux.acc_seg": 62.79068, "loss": 0.84811, "time": 0.67043} -{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 15340, "data_time": 0.01031, "decode.loss_seg": 0.61097, "decode.acc_seg": 63.64259, "aux.loss_seg": 0.2752, "aux.acc_seg": 62.20113, "loss": 0.88617, "time": 0.6498} -{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 15340, "data_time": 0.00962, "decode.loss_seg": 0.59342, "decode.acc_seg": 63.83735, "aux.loss_seg": 0.26316, "aux.acc_seg": 62.58393, "loss": 0.85658, "time": 0.66327} -{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 15340, "data_time": 0.00966, "decode.loss_seg": 0.59712, "decode.acc_seg": 63.25116, "aux.loss_seg": 0.26898, "aux.acc_seg": 61.9895, "loss": 0.8661, "time": 0.67447} -{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 15340, "data_time": 0.00999, "decode.loss_seg": 0.63218, "decode.acc_seg": 61.34969, "aux.loss_seg": 0.27929, "aux.acc_seg": 60.50055, "loss": 0.91147, "time": 0.67699} -{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 15340, "data_time": 0.01043, "decode.loss_seg": 0.57218, "decode.acc_seg": 63.10864, "aux.loss_seg": 0.25659, "aux.acc_seg": 61.84458, "loss": 0.82877, "time": 0.6797} -{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 15340, "data_time": 0.21473, "decode.loss_seg": 0.55095, "decode.acc_seg": 63.51554, "aux.loss_seg": 0.24788, "aux.acc_seg": 62.17221, "loss": 0.79883, "time": 0.87851} -{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 15340, "data_time": 0.01007, "decode.loss_seg": 0.54912, "decode.acc_seg": 64.27139, "aux.loss_seg": 0.24838, "aux.acc_seg": 63.10474, "loss": 0.7975, "time": 0.66333} -{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 15340, "data_time": 0.00989, "decode.loss_seg": 0.55884, "decode.acc_seg": 64.60388, "aux.loss_seg": 0.25545, "aux.acc_seg": 63.21706, "loss": 0.8143, "time": 0.6609} -{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 15340, "data_time": 0.00987, "decode.loss_seg": 0.55915, "decode.acc_seg": 65.0502, "aux.loss_seg": 0.25375, "aux.acc_seg": 63.79028, "loss": 0.81289, "time": 0.6797} -{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 15340, "data_time": 0.01, "decode.loss_seg": 0.57223, "decode.acc_seg": 63.34565, "aux.loss_seg": 0.25644, "aux.acc_seg": 62.15265, "loss": 0.82867, "time": 0.65544} -{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 15340, "data_time": 0.01004, "decode.loss_seg": 0.58257, "decode.acc_seg": 63.29907, "aux.loss_seg": 0.26178, "aux.acc_seg": 62.33934, "loss": 0.84435, "time": 0.66874} -{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 15340, "data_time": 0.01008, "decode.loss_seg": 0.55857, "decode.acc_seg": 65.65566, "aux.loss_seg": 0.2549, "aux.acc_seg": 64.03825, "loss": 0.81347, "time": 0.66786} -{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 15340, "data_time": 0.0102, "decode.loss_seg": 0.5573, "decode.acc_seg": 63.17007, "aux.loss_seg": 0.24934, "aux.acc_seg": 62.3677, "loss": 0.80664, "time": 0.65345} -{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.55476, "decode.acc_seg": 62.94214, "aux.loss_seg": 0.25099, "aux.acc_seg": 61.88434, "loss": 0.80575, "time": 0.6736} -{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 15340, "data_time": 0.00993, "decode.loss_seg": 0.58979, "decode.acc_seg": 64.14396, "aux.loss_seg": 0.25784, "aux.acc_seg": 63.46939, "loss": 0.84763, "time": 0.65642} -{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 15340, "data_time": 0.00995, "decode.loss_seg": 0.54578, "decode.acc_seg": 65.93219, "aux.loss_seg": 0.24615, "aux.acc_seg": 64.53471, "loss": 0.79193, "time": 0.6765} -{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 15340, "data_time": 0.01033, "decode.loss_seg": 0.52656, "decode.acc_seg": 65.38454, "aux.loss_seg": 0.23872, "aux.acc_seg": 64.17896, "loss": 0.76528, "time": 0.67005} -{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 15340, "data_time": 0.00918, "decode.loss_seg": 0.57214, "decode.acc_seg": 63.45098, "aux.loss_seg": 0.25544, "aux.acc_seg": 62.23809, "loss": 0.82758, "time": 0.64973} -{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 15340, "data_time": 0.01004, "decode.loss_seg": 0.54644, "decode.acc_seg": 63.84189, "aux.loss_seg": 0.24642, "aux.acc_seg": 62.54347, "loss": 0.79286, "time": 0.66737} -{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 15340, "data_time": 0.00996, "decode.loss_seg": 0.59139, "decode.acc_seg": 63.27092, "aux.loss_seg": 0.263, "aux.acc_seg": 62.1521, "loss": 0.85439, "time": 0.67709} -{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 15340, "data_time": 0.01005, "decode.loss_seg": 0.56481, "decode.acc_seg": 65.09552, "aux.loss_seg": 0.25009, "aux.acc_seg": 63.95329, "loss": 0.8149, "time": 0.66954} -{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 15340, "data_time": 0.01, "decode.loss_seg": 0.56744, "decode.acc_seg": 63.86916, "aux.loss_seg": 0.2511, "aux.acc_seg": 62.74805, "loss": 0.81854, "time": 0.66727} -{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.59273, "decode.acc_seg": 62.92856, "aux.loss_seg": 0.26462, "aux.acc_seg": 61.91794, "loss": 0.85735, "time": 0.67493} -{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 15340, "data_time": 0.00949, "decode.loss_seg": 0.57397, "decode.acc_seg": 62.4704, "aux.loss_seg": 0.25373, "aux.acc_seg": 61.53128, "loss": 0.8277, "time": 0.67291} -{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 15340, "data_time": 0.00814, "decode.loss_seg": 0.60706, "decode.acc_seg": 62.47743, "aux.loss_seg": 0.26875, "aux.acc_seg": 61.39353, "loss": 0.87581, "time": 0.65558} -{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.54864, "decode.acc_seg": 65.59519, "aux.loss_seg": 0.24222, "aux.acc_seg": 64.75792, "loss": 0.79085, "time": 0.6597} -{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 15340, "data_time": 0.00882, "decode.loss_seg": 0.55613, "decode.acc_seg": 63.1755, "aux.loss_seg": 0.24657, "aux.acc_seg": 62.30484, "loss": 0.80269, "time": 0.66242} -{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 15340, "data_time": 0.00889, "decode.loss_seg": 0.58859, "decode.acc_seg": 62.74328, "aux.loss_seg": 0.26049, "aux.acc_seg": 61.86565, "loss": 0.84908, "time": 0.66316} -{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 15340, "data_time": 0.00953, "decode.loss_seg": 0.5904, "decode.acc_seg": 63.75273, "aux.loss_seg": 0.25875, "aux.acc_seg": 62.84271, "loss": 0.84914, "time": 0.66193} -{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 15340, "data_time": 0.01003, "decode.loss_seg": 0.55804, "decode.acc_seg": 64.7768, "aux.loss_seg": 0.24663, "aux.acc_seg": 63.75498, "loss": 0.80468, "time": 0.64833} -{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 15340, "data_time": 0.01063, "decode.loss_seg": 0.567, "decode.acc_seg": 62.5753, "aux.loss_seg": 0.25252, "aux.acc_seg": 61.38978, "loss": 0.81951, "time": 0.67245} -{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 15340, "data_time": 0.22988, "decode.loss_seg": 0.52583, "decode.acc_seg": 65.91078, "aux.loss_seg": 0.23387, "aux.acc_seg": 64.87321, "loss": 0.75971, "time": 0.85726} -{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 15340, "data_time": 0.00867, "decode.loss_seg": 0.53938, "decode.acc_seg": 64.52308, "aux.loss_seg": 0.24328, "aux.acc_seg": 63.43138, "loss": 0.78266, "time": 0.6675} -{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 15340, "data_time": 0.0083, "decode.loss_seg": 0.56035, "decode.acc_seg": 66.15895, "aux.loss_seg": 0.2516, "aux.acc_seg": 64.85269, "loss": 0.81195, "time": 0.63508} -{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 15340, "data_time": 0.00933, "decode.loss_seg": 0.53094, "decode.acc_seg": 64.39681, "aux.loss_seg": 0.23794, "aux.acc_seg": 63.49908, "loss": 0.76888, "time": 0.68325} -{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 15340, "data_time": 0.00918, "decode.loss_seg": 0.55338, "decode.acc_seg": 64.22896, "aux.loss_seg": 0.24868, "aux.acc_seg": 62.91342, "loss": 0.80206, "time": 0.68241} -{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 15340, "data_time": 0.00943, "decode.loss_seg": 0.5601, "decode.acc_seg": 63.99155, "aux.loss_seg": 0.24824, "aux.acc_seg": 62.85676, "loss": 0.80834, "time": 0.67027} -{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 15340, "data_time": 0.00936, "decode.loss_seg": 0.55864, "decode.acc_seg": 64.52633, "aux.loss_seg": 0.24786, "aux.acc_seg": 63.466, "loss": 0.8065, "time": 0.66535} -{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 15340, "data_time": 0.00824, "decode.loss_seg": 0.54736, "decode.acc_seg": 64.72052, "aux.loss_seg": 0.24741, "aux.acc_seg": 63.36442, "loss": 0.79477, "time": 0.66808} -{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 0.50429, "decode.acc_seg": 66.14729, "aux.loss_seg": 0.22805, "aux.acc_seg": 64.89304, "loss": 0.73235, "time": 0.6378} -{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 15340, "data_time": 0.00901, "decode.loss_seg": 0.5445, "decode.acc_seg": 65.01968, "aux.loss_seg": 0.24783, "aux.acc_seg": 63.75806, "loss": 0.79232, "time": 0.66264} -{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 15340, "data_time": 0.00809, "decode.loss_seg": 0.56085, "decode.acc_seg": 65.57259, "aux.loss_seg": 0.25051, "aux.acc_seg": 64.40876, "loss": 0.81136, "time": 0.65915} -{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 15340, "data_time": 0.0093, "decode.loss_seg": 0.53105, "decode.acc_seg": 66.55473, "aux.loss_seg": 0.23865, "aux.acc_seg": 65.15523, "loss": 0.7697, "time": 0.67443} -{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 15340, "data_time": 0.00943, "decode.loss_seg": 0.55333, "decode.acc_seg": 64.38054, "aux.loss_seg": 0.2471, "aux.acc_seg": 63.42769, "loss": 0.80043, "time": 0.65893} -{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 15340, "data_time": 0.00803, "decode.loss_seg": 0.53236, "decode.acc_seg": 64.66252, "aux.loss_seg": 0.2366, "aux.acc_seg": 63.53062, "loss": 0.76896, "time": 0.66555} -{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 15340, "data_time": 0.00901, "decode.loss_seg": 0.54892, "decode.acc_seg": 63.8137, "aux.loss_seg": 0.24546, "aux.acc_seg": 62.44777, "loss": 0.79438, "time": 0.67572} -{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 15340, "data_time": 0.00912, "decode.loss_seg": 0.60157, "decode.acc_seg": 62.78146, "aux.loss_seg": 0.26255, "aux.acc_seg": 61.98681, "loss": 0.86412, "time": 0.6786} -{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 15340, "data_time": 0.00931, "decode.loss_seg": 0.5539, "decode.acc_seg": 63.69242, "aux.loss_seg": 0.24596, "aux.acc_seg": 62.70798, "loss": 0.79986, "time": 0.66387} -{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 15340, "data_time": 0.01031, "decode.loss_seg": 0.52766, "decode.acc_seg": 64.7957, "aux.loss_seg": 0.23611, "aux.acc_seg": 63.49088, "loss": 0.76377, "time": 0.6641} -{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 15340, "data_time": 0.01033, "decode.loss_seg": 0.5469, "decode.acc_seg": 63.44777, "aux.loss_seg": 0.24248, "aux.acc_seg": 62.39316, "loss": 0.78938, "time": 0.67501} -{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 15340, "data_time": 0.00928, "decode.loss_seg": 0.53958, "decode.acc_seg": 63.48875, "aux.loss_seg": 0.23877, "aux.acc_seg": 62.47613, "loss": 0.77835, "time": 0.6626} -{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 15340, "data_time": 0.00919, "decode.loss_seg": 0.52136, "decode.acc_seg": 64.62591, "aux.loss_seg": 0.23412, "aux.acc_seg": 63.442, "loss": 0.75548, "time": 0.64732} -{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 15340, "data_time": 0.01022, "decode.loss_seg": 0.51076, "decode.acc_seg": 64.90648, "aux.loss_seg": 0.22684, "aux.acc_seg": 63.8401, "loss": 0.7376, "time": 0.64629} -{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 15340, "data_time": 0.00929, "decode.loss_seg": 0.53454, "decode.acc_seg": 64.48186, "aux.loss_seg": 0.23547, "aux.acc_seg": 63.51871, "loss": 0.77002, "time": 0.65385} -{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 15340, "data_time": 0.00922, "decode.loss_seg": 0.5226, "decode.acc_seg": 64.60076, "aux.loss_seg": 0.23078, "aux.acc_seg": 63.49553, "loss": 0.75338, "time": 0.67597} -{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.54162, "decode.acc_seg": 63.64989, "aux.loss_seg": 0.24038, "aux.acc_seg": 62.72065, "loss": 0.782, "time": 0.68016} -{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 15340, "data_time": 0.20751, "decode.loss_seg": 0.5304, "decode.acc_seg": 64.88631, "aux.loss_seg": 0.24263, "aux.acc_seg": 63.65701, "loss": 0.77303, "time": 0.88454} -{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 15340, "data_time": 0.00881, "decode.loss_seg": 0.49953, "decode.acc_seg": 65.7226, "aux.loss_seg": 0.22627, "aux.acc_seg": 64.57512, "loss": 0.7258, "time": 0.65624} -{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 15340, "data_time": 0.01009, "decode.loss_seg": 0.51555, "decode.acc_seg": 63.82436, "aux.loss_seg": 0.23023, "aux.acc_seg": 62.63924, "loss": 0.74578, "time": 0.67078} -{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 15340, "data_time": 0.01005, "decode.loss_seg": 0.50804, "decode.acc_seg": 65.7957, "aux.loss_seg": 0.23017, "aux.acc_seg": 64.51536, "loss": 0.7382, "time": 0.66137} -{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 15340, "data_time": 0.00899, "decode.loss_seg": 0.50392, "decode.acc_seg": 64.48557, "aux.loss_seg": 0.22715, "aux.acc_seg": 63.42819, "loss": 0.73107, "time": 0.63928} -{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 15340, "data_time": 0.00907, "decode.loss_seg": 0.51624, "decode.acc_seg": 64.31833, "aux.loss_seg": 0.23289, "aux.acc_seg": 62.97892, "loss": 0.74914, "time": 0.66974} -{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 0.52213, "decode.acc_seg": 64.95919, "aux.loss_seg": 0.23213, "aux.acc_seg": 63.90728, "loss": 0.75426, "time": 0.65498} -{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 15340, "data_time": 0.00895, "decode.loss_seg": 0.5171, "decode.acc_seg": 64.04001, "aux.loss_seg": 0.2316, "aux.acc_seg": 62.67442, "loss": 0.7487, "time": 0.67308} -{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 15340, "data_time": 0.01027, "decode.loss_seg": 0.51388, "decode.acc_seg": 64.50926, "aux.loss_seg": 0.23093, "aux.acc_seg": 63.48421, "loss": 0.74481, "time": 0.65542} -{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 15340, "data_time": 0.00989, "decode.loss_seg": 0.51396, "decode.acc_seg": 64.47693, "aux.loss_seg": 0.23171, "aux.acc_seg": 63.29781, "loss": 0.74568, "time": 0.67698} -{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 15340, "data_time": 0.0089, "decode.loss_seg": 0.52479, "decode.acc_seg": 65.79602, "aux.loss_seg": 0.23275, "aux.acc_seg": 64.56495, "loss": 0.75754, "time": 0.65398} -{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 15340, "data_time": 0.00986, "decode.loss_seg": 0.53385, "decode.acc_seg": 65.57155, "aux.loss_seg": 0.23887, "aux.acc_seg": 64.42015, "loss": 0.77272, "time": 0.64535} -{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 15340, "data_time": 0.00949, "decode.loss_seg": 0.54272, "decode.acc_seg": 63.92513, "aux.loss_seg": 0.23843, "aux.acc_seg": 63.03679, "loss": 0.78115, "time": 0.64687} -{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 15340, "data_time": 0.00969, "decode.loss_seg": 0.51077, "decode.acc_seg": 65.39334, "aux.loss_seg": 0.22813, "aux.acc_seg": 64.42969, "loss": 0.7389, "time": 0.66228} -{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 15340, "data_time": 0.01012, "decode.loss_seg": 0.52993, "decode.acc_seg": 65.62494, "aux.loss_seg": 0.23619, "aux.acc_seg": 64.53849, "loss": 0.76612, "time": 0.66654} -{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 15340, "data_time": 0.01031, "decode.loss_seg": 0.52174, "decode.acc_seg": 65.49159, "aux.loss_seg": 0.23247, "aux.acc_seg": 64.41767, "loss": 0.75421, "time": 0.67254} -{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.50277, "decode.acc_seg": 65.49436, "aux.loss_seg": 0.22232, "aux.acc_seg": 64.72293, "loss": 0.72509, "time": 0.66199} -{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 15340, "data_time": 0.00948, "decode.loss_seg": 0.57224, "decode.acc_seg": 63.87405, "aux.loss_seg": 0.2531, "aux.acc_seg": 62.70229, "loss": 0.82534, "time": 0.664} -{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 15340, "data_time": 0.01016, "decode.loss_seg": 0.55529, "decode.acc_seg": 64.62497, "aux.loss_seg": 0.24583, "aux.acc_seg": 63.62139, "loss": 0.80112, "time": 0.65971} -{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 15340, "data_time": 0.00981, "decode.loss_seg": 0.4976, "decode.acc_seg": 67.73445, "aux.loss_seg": 0.22478, "aux.acc_seg": 66.36747, "loss": 0.72238, "time": 0.67938} -{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 15340, "data_time": 0.01033, "decode.loss_seg": 0.48024, "decode.acc_seg": 66.39662, "aux.loss_seg": 0.21447, "aux.acc_seg": 65.57902, "loss": 0.69472, "time": 0.65999} -{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 15340, "data_time": 0.00936, "decode.loss_seg": 0.49887, "decode.acc_seg": 64.08184, "aux.loss_seg": 0.22081, "aux.acc_seg": 63.31891, "loss": 0.71968, "time": 0.64915} -{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 15340, "data_time": 0.0098, "decode.loss_seg": 0.53215, "decode.acc_seg": 63.30329, "aux.loss_seg": 0.2374, "aux.acc_seg": 62.2882, "loss": 0.76955, "time": 0.66509} -{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 15340, "data_time": 0.00915, "decode.loss_seg": 0.56216, "decode.acc_seg": 65.01918, "aux.loss_seg": 0.24549, "aux.acc_seg": 64.11083, "loss": 0.80765, "time": 0.65257} -{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 15340, "data_time": 0.01007, "decode.loss_seg": 0.52478, "decode.acc_seg": 65.55169, "aux.loss_seg": 0.23551, "aux.acc_seg": 64.52337, "loss": 0.76029, "time": 0.66947} -{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 15340, "data_time": 0.21398, "decode.loss_seg": 0.49731, "decode.acc_seg": 65.36824, "aux.loss_seg": 0.22267, "aux.acc_seg": 64.25934, "loss": 0.71998, "time": 0.88685} -{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 15340, "data_time": 0.00991, "decode.loss_seg": 0.47394, "decode.acc_seg": 66.15135, "aux.loss_seg": 0.21689, "aux.acc_seg": 64.62683, "loss": 0.69083, "time": 0.66286} -{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 15340, "data_time": 0.01032, "decode.loss_seg": 0.45378, "decode.acc_seg": 66.26591, "aux.loss_seg": 0.20573, "aux.acc_seg": 65.27635, "loss": 0.65952, "time": 0.6812} -{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 15340, "data_time": 0.00896, "decode.loss_seg": 0.48634, "decode.acc_seg": 65.91155, "aux.loss_seg": 0.21874, "aux.acc_seg": 64.67972, "loss": 0.70508, "time": 0.65887} -{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 15340, "data_time": 0.0093, "decode.loss_seg": 0.49493, "decode.acc_seg": 67.22812, "aux.loss_seg": 0.22379, "aux.acc_seg": 65.81856, "loss": 0.71872, "time": 0.65908} -{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 15340, "data_time": 0.00906, "decode.loss_seg": 0.49895, "decode.acc_seg": 65.83113, "aux.loss_seg": 0.22414, "aux.acc_seg": 64.54073, "loss": 0.72308, "time": 0.6588} -{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 15340, "data_time": 0.01048, "decode.loss_seg": 0.49988, "decode.acc_seg": 64.89941, "aux.loss_seg": 0.2265, "aux.acc_seg": 63.44789, "loss": 0.72638, "time": 0.67675} -{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 15340, "data_time": 0.01034, "decode.loss_seg": 0.49695, "decode.acc_seg": 67.15049, "aux.loss_seg": 0.22241, "aux.acc_seg": 65.97643, "loss": 0.71936, "time": 0.66779} -{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 15340, "data_time": 0.00962, "decode.loss_seg": 0.47299, "decode.acc_seg": 65.4455, "aux.loss_seg": 0.21111, "aux.acc_seg": 64.55278, "loss": 0.68411, "time": 0.66874} -{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 15340, "data_time": 0.00889, "decode.loss_seg": 0.50557, "decode.acc_seg": 66.82801, "aux.loss_seg": 0.22446, "aux.acc_seg": 65.89219, "loss": 0.73002, "time": 0.65893} -{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.4903, "decode.acc_seg": 64.28981, "aux.loss_seg": 0.2192, "aux.acc_seg": 63.36218, "loss": 0.7095, "time": 0.66672} -{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 15340, "data_time": 0.01008, "decode.loss_seg": 0.48195, "decode.acc_seg": 66.37363, "aux.loss_seg": 0.21788, "aux.acc_seg": 65.38068, "loss": 0.69983, "time": 0.65135} -{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 15340, "data_time": 0.01054, "decode.loss_seg": 0.5088, "decode.acc_seg": 63.6231, "aux.loss_seg": 0.22674, "aux.acc_seg": 62.71899, "loss": 0.73553, "time": 0.64291} -{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 15340, "data_time": 0.01036, "decode.loss_seg": 0.51165, "decode.acc_seg": 66.80904, "aux.loss_seg": 0.2294, "aux.acc_seg": 65.78568, "loss": 0.74104, "time": 0.67575} -{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 15340, "data_time": 0.00936, "decode.loss_seg": 0.52178, "decode.acc_seg": 65.26362, "aux.loss_seg": 0.23322, "aux.acc_seg": 64.24973, "loss": 0.755, "time": 0.65441} -{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 15340, "data_time": 0.00984, "decode.loss_seg": 0.51026, "decode.acc_seg": 67.55178, "aux.loss_seg": 0.2257, "aux.acc_seg": 66.58552, "loss": 0.73596, "time": 0.65934} -{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.48858, "decode.acc_seg": 64.40738, "aux.loss_seg": 0.2188, "aux.acc_seg": 63.46129, "loss": 0.70738, "time": 0.66459} -{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 15340, "data_time": 0.01022, "decode.loss_seg": 0.48929, "decode.acc_seg": 66.02615, "aux.loss_seg": 0.21823, "aux.acc_seg": 65.1737, "loss": 0.70752, "time": 0.67043} -{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 15340, "data_time": 0.00903, "decode.loss_seg": 0.48743, "decode.acc_seg": 67.62097, "aux.loss_seg": 0.22063, "aux.acc_seg": 66.27624, "loss": 0.70806, "time": 0.65871} -{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 15340, "data_time": 0.00908, "decode.loss_seg": 0.53133, "decode.acc_seg": 64.2292, "aux.loss_seg": 0.2321, "aux.acc_seg": 63.20171, "loss": 0.76343, "time": 0.66383} -{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.51907, "decode.acc_seg": 65.89351, "aux.loss_seg": 0.23004, "aux.acc_seg": 64.75679, "loss": 0.74911, "time": 0.66472} -{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 15340, "data_time": 0.00902, "decode.loss_seg": 0.52905, "decode.acc_seg": 64.63214, "aux.loss_seg": 0.23306, "aux.acc_seg": 63.40292, "loss": 0.76211, "time": 0.67118} -{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 15340, "data_time": 0.00997, "decode.loss_seg": 0.50114, "decode.acc_seg": 64.90702, "aux.loss_seg": 0.22337, "aux.acc_seg": 63.60448, "loss": 0.72452, "time": 0.65511} -{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 15340, "data_time": 0.00967, "decode.loss_seg": 0.53878, "decode.acc_seg": 65.66189, "aux.loss_seg": 0.24016, "aux.acc_seg": 64.5568, "loss": 0.77894, "time": 0.66543} -{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 15340, "data_time": 0.00924, "decode.loss_seg": 0.51766, "decode.acc_seg": 64.52648, "aux.loss_seg": 0.225, "aux.acc_seg": 63.61621, "loss": 0.74266, "time": 0.64241} -{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 15340, "data_time": 0.21088, "decode.loss_seg": 0.51901, "decode.acc_seg": 66.34192, "aux.loss_seg": 0.22991, "aux.acc_seg": 65.15795, "loss": 0.74893, "time": 0.88916} -{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 15340, "data_time": 0.01002, "decode.loss_seg": 0.49504, "decode.acc_seg": 65.49239, "aux.loss_seg": 0.22417, "aux.acc_seg": 64.36153, "loss": 0.71921, "time": 0.67991} -{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.48433, "decode.acc_seg": 65.55515, "aux.loss_seg": 0.22015, "aux.acc_seg": 64.3638, "loss": 0.70449, "time": 0.67186} -{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 15340, "data_time": 0.01048, "decode.loss_seg": 0.48669, "decode.acc_seg": 65.75235, "aux.loss_seg": 0.22029, "aux.acc_seg": 64.32808, "loss": 0.70698, "time": 0.6727} -{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 15340, "data_time": 0.01079, "decode.loss_seg": 0.49184, "decode.acc_seg": 66.9793, "aux.loss_seg": 0.2166, "aux.acc_seg": 66.12272, "loss": 0.70844, "time": 0.66768} -{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.47204, "decode.acc_seg": 66.55518, "aux.loss_seg": 0.21381, "aux.acc_seg": 65.23589, "loss": 0.68584, "time": 0.66935} -{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 15340, "data_time": 0.00945, "decode.loss_seg": 0.48377, "decode.acc_seg": 66.19208, "aux.loss_seg": 0.21808, "aux.acc_seg": 64.76213, "loss": 0.70184, "time": 0.63679} -{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.46535, "decode.acc_seg": 66.65094, "aux.loss_seg": 0.20936, "aux.acc_seg": 65.41176, "loss": 0.67471, "time": 0.66225} -{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 15340, "data_time": 0.01058, "decode.loss_seg": 0.47249, "decode.acc_seg": 64.20986, "aux.loss_seg": 0.21375, "aux.acc_seg": 63.01753, "loss": 0.68624, "time": 0.68441} -{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 15340, "data_time": 0.00888, "decode.loss_seg": 0.49737, "decode.acc_seg": 66.73537, "aux.loss_seg": 0.22757, "aux.acc_seg": 65.46322, "loss": 0.72494, "time": 0.68238} -{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 15340, "data_time": 0.01028, "decode.loss_seg": 0.48719, "decode.acc_seg": 65.74602, "aux.loss_seg": 0.21934, "aux.acc_seg": 64.62971, "loss": 0.70653, "time": 0.65682} -{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 15340, "data_time": 0.00949, "decode.loss_seg": 0.47689, "decode.acc_seg": 65.31154, "aux.loss_seg": 0.21135, "aux.acc_seg": 64.27825, "loss": 0.68824, "time": 0.67102} -{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 15340, "data_time": 0.00978, "decode.loss_seg": 0.46673, "decode.acc_seg": 66.76206, "aux.loss_seg": 0.20759, "aux.acc_seg": 65.86718, "loss": 0.67432, "time": 0.66039} -{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.45981, "decode.acc_seg": 66.46672, "aux.loss_seg": 0.20861, "aux.acc_seg": 65.11315, "loss": 0.66841, "time": 0.66217} -{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 15340, "data_time": 0.01068, "decode.loss_seg": 0.48219, "decode.acc_seg": 67.503, "aux.loss_seg": 0.21708, "aux.acc_seg": 66.39036, "loss": 0.69927, "time": 0.65681} -{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 15340, "data_time": 0.00963, "decode.loss_seg": 0.49121, "decode.acc_seg": 67.04282, "aux.loss_seg": 0.22041, "aux.acc_seg": 65.91864, "loss": 0.71162, "time": 0.66155} -{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 15340, "data_time": 0.01007, "decode.loss_seg": 0.48859, "decode.acc_seg": 65.29375, "aux.loss_seg": 0.21804, "aux.acc_seg": 64.14645, "loss": 0.70664, "time": 0.67928} -{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 15340, "data_time": 0.00979, "decode.loss_seg": 0.50079, "decode.acc_seg": 65.81803, "aux.loss_seg": 0.22529, "aux.acc_seg": 64.63297, "loss": 0.72608, "time": 0.67294} -{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 15340, "data_time": 0.00907, "decode.loss_seg": 0.49992, "decode.acc_seg": 64.60156, "aux.loss_seg": 0.22362, "aux.acc_seg": 63.24495, "loss": 0.72354, "time": 0.6519} -{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 15340, "data_time": 0.00967, "decode.loss_seg": 0.4985, "decode.acc_seg": 66.14617, "aux.loss_seg": 0.22283, "aux.acc_seg": 65.21754, "loss": 0.72133, "time": 0.67603} -{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 15340, "data_time": 0.00904, "decode.loss_seg": 0.53365, "decode.acc_seg": 63.65894, "aux.loss_seg": 0.23648, "aux.acc_seg": 62.83941, "loss": 0.77013, "time": 0.6526} -{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 15340, "data_time": 0.00991, "decode.loss_seg": 0.49791, "decode.acc_seg": 65.53513, "aux.loss_seg": 0.22296, "aux.acc_seg": 64.42742, "loss": 0.72086, "time": 0.66288} -{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 15340, "data_time": 0.00991, "decode.loss_seg": 0.51794, "decode.acc_seg": 65.47368, "aux.loss_seg": 0.23053, "aux.acc_seg": 64.34268, "loss": 0.74847, "time": 0.67009} -{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 15340, "data_time": 0.00978, "decode.loss_seg": 0.48027, "decode.acc_seg": 67.226, "aux.loss_seg": 0.21552, "aux.acc_seg": 66.31763, "loss": 0.69578, "time": 0.66509} -{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 15340, "data_time": 0.01, "decode.loss_seg": 0.48213, "decode.acc_seg": 65.4063, "aux.loss_seg": 0.2134, "aux.acc_seg": 64.30131, "loss": 0.69553, "time": 0.68199} -{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 15340, "data_time": 0.0095, "decode.loss_seg": 0.51139, "decode.acc_seg": 65.46838, "aux.loss_seg": 0.22547, "aux.acc_seg": 64.53913, "loss": 0.73686, "time": 0.66036} -{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 15340, "data_time": 0.22412, "decode.loss_seg": 0.4621, "decode.acc_seg": 66.19934, "aux.loss_seg": 0.20811, "aux.acc_seg": 64.91447, "loss": 0.67021, "time": 0.8897} -{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 15340, "data_time": 0.01028, "decode.loss_seg": 0.46715, "decode.acc_seg": 65.79398, "aux.loss_seg": 0.20945, "aux.acc_seg": 64.57991, "loss": 0.6766, "time": 0.67808} -{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 15340, "data_time": 0.01005, "decode.loss_seg": 0.45026, "decode.acc_seg": 67.54862, "aux.loss_seg": 0.20289, "aux.acc_seg": 66.15558, "loss": 0.65315, "time": 0.66122} -{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 15340, "data_time": 0.00908, "decode.loss_seg": 0.48568, "decode.acc_seg": 67.38577, "aux.loss_seg": 0.21822, "aux.acc_seg": 66.04515, "loss": 0.7039, "time": 0.66675} -{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.47066, "decode.acc_seg": 66.63379, "aux.loss_seg": 0.2151, "aux.acc_seg": 65.10738, "loss": 0.68576, "time": 0.6669} -{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 15340, "data_time": 0.00916, "decode.loss_seg": 0.46925, "decode.acc_seg": 65.92086, "aux.loss_seg": 0.21032, "aux.acc_seg": 64.89627, "loss": 0.67957, "time": 0.63895} -{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 15340, "data_time": 0.00911, "decode.loss_seg": 0.45903, "decode.acc_seg": 66.97127, "aux.loss_seg": 0.20942, "aux.acc_seg": 65.67924, "loss": 0.66845, "time": 0.66252} -{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 15340, "data_time": 0.01009, "decode.loss_seg": 0.44333, "decode.acc_seg": 66.555, "aux.loss_seg": 0.20158, "aux.acc_seg": 65.33704, "loss": 0.6449, "time": 0.66979} -{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 15340, "data_time": 0.01023, "decode.loss_seg": 0.45397, "decode.acc_seg": 64.92995, "aux.loss_seg": 0.20757, "aux.acc_seg": 63.69873, "loss": 0.66154, "time": 0.67486} -{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 15340, "data_time": 0.00946, "decode.loss_seg": 0.45764, "decode.acc_seg": 66.4884, "aux.loss_seg": 0.20681, "aux.acc_seg": 65.20085, "loss": 0.66445, "time": 0.68407} -{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 15340, "data_time": 0.009, "decode.loss_seg": 0.4854, "decode.acc_seg": 66.00243, "aux.loss_seg": 0.21735, "aux.acc_seg": 65.1214, "loss": 0.70274, "time": 0.67571} -{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 15340, "data_time": 0.00913, "decode.loss_seg": 0.45634, "decode.acc_seg": 66.1527, "aux.loss_seg": 0.20416, "aux.acc_seg": 65.10143, "loss": 0.66049, "time": 0.67904} -{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 15340, "data_time": 0.00945, "decode.loss_seg": 0.47059, "decode.acc_seg": 66.59907, "aux.loss_seg": 0.21086, "aux.acc_seg": 65.61028, "loss": 0.68145, "time": 0.66519} -{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 15340, "data_time": 0.00935, "decode.loss_seg": 0.4604, "decode.acc_seg": 67.16583, "aux.loss_seg": 0.20611, "aux.acc_seg": 66.11445, "loss": 0.66651, "time": 0.66335} -{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 15340, "data_time": 0.00988, "decode.loss_seg": 0.44434, "decode.acc_seg": 66.54562, "aux.loss_seg": 0.19655, "aux.acc_seg": 65.73506, "loss": 0.64089, "time": 0.67072} -{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 15340, "data_time": 0.00978, "decode.loss_seg": 0.50125, "decode.acc_seg": 65.23348, "aux.loss_seg": 0.2227, "aux.acc_seg": 64.27503, "loss": 0.72395, "time": 0.66311} -{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.4261, "mAcc": 0.5581, "aAcc": 0.8019, "IoU.wall": 0.7314, "IoU.building": 0.8067, "IoU.sky": 0.9348, "IoU.floor": 0.7824, "IoU.tree": 0.7173, "IoU.ceiling": 0.8094, "IoU.road": 0.7939, "IoU.bed ": 0.8264, "IoU.windowpane": 0.5591, "IoU.grass": 0.6549, "IoU.cabinet": 0.5427, "IoU.sidewalk": 0.5834, "IoU.person": 0.7491, "IoU.earth": 0.3463, "IoU.door": 0.4077, "IoU.table": 0.5112, "IoU.mountain": 0.6093, "IoU.plant": 0.5008, "IoU.curtain": 0.6639, "IoU.chair": 0.4726, "IoU.car": 0.8206, "IoU.water": 0.51, "IoU.painting": 0.6218, "IoU.sofa": 0.5687, "IoU.shelf": 0.4207, "IoU.house": 0.5697, "IoU.sea": 0.515, "IoU.mirror": 0.5376, "IoU.rug": 0.6662, "IoU.field": 0.2835, "IoU.armchair": 0.3012, "IoU.seat": 0.5558, "IoU.fence": 0.4251, "IoU.desk": 0.4239, "IoU.rock": 0.4497, "IoU.wardrobe": 0.4317, "IoU.lamp": 0.5005, "IoU.bathtub": 0.682, "IoU.railing": 0.3565, "IoU.cushion": 0.4747, "IoU.base": 0.2298, "IoU.box": 0.1997, "IoU.column": 0.4124, "IoU.signboard": 0.3161, "IoU.chest of drawers": 0.326, "IoU.counter": 0.1859, "IoU.sand": 0.3169, "IoU.sink": 0.6013, "IoU.skyscraper": 0.5431, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5858, "IoU.grandstand": 0.3678, "IoU.path": 0.1687, "IoU.stairs": 0.2698, "IoU.runway": 0.6987, "IoU.case": 0.4954, "IoU.pool table": 0.8598, "IoU.pillow": 0.5009, "IoU.screen door": 0.5793, "IoU.stairway": 0.2975, "IoU.river": 0.1682, "IoU.bridge": 0.6299, "IoU.bookcase": 0.4116, "IoU.blind": NaN, "IoU.coffee table": 0.4602, "IoU.toilet": 0.7057, "IoU.flower": 0.2735, "IoU.book": 0.4349, "IoU.hill": 0.1013, "IoU.bench": 0.3673, "IoU.countertop": 0.4597, "IoU.stove": 0.561, "IoU.palm": 0.4299, "IoU.kitchen island": 0.2624, "IoU.computer": 0.6927, "IoU.swivel chair": 0.3834, "IoU.boat": 0.5532, "IoU.bar": 0.4889, "IoU.arcade machine": 0.7495, "IoU.hovel": 0.3625, "IoU.bus": 0.795, "IoU.towel": 0.5396, "IoU.light": 0.358, "IoU.truck": 0.3054, "IoU.tower": 0.3756, "IoU.chandelier": 0.5697, "IoU.awning": 0.231, "IoU.streetlight": 0.1221, "IoU.booth": 0.4519, "IoU.television receiver": NaN, "IoU.airplane": 0.528, "IoU.dirt track": 0.0115, "IoU.apparel": 0.285, "IoU.pole": 0.0993, "IoU.land": 0.0047, "IoU.bannister": 0.0655, "IoU.escalator": 0.2554, "IoU.ottoman": 0.2367, "IoU.bottle": NaN, "IoU.buffet": 0.415, "IoU.poster": 0.151, "IoU.stage": 0.1205, "IoU.van": 0.339, "IoU.ship": 0.7783, "IoU.fountain": 0.2694, "IoU.conveyer belt": 0.6499, "IoU.canopy": 0.3654, "IoU.washer": 0.738, "IoU.plaything": 0.1788, "IoU.swimming pool": 0.626, "IoU.stool": 0.1186, "IoU.barrel": 0.4582, "IoU.basket": 0.2885, "IoU.waterfall": 0.6058, "IoU.tent": 0.8244, "IoU.bag": 0.0771, "IoU.minibike": 0.678, "IoU.cradle": NaN, "IoU.oven": 0.0651, "IoU.ball": 0.4101, "IoU.food": 0.5617, "IoU.step": 0.0702, "IoU.tank": 0.4328, "IoU.trade name": 0.2354, "IoU.microwave": 0.6779, "IoU.pot": 0.458, "IoU.animal": NaN, "IoU.bicycle": 0.5173, "IoU.lake": 0.0, "IoU.dishwasher": 0.3042, "IoU.screen": 0.6038, "IoU.blanket": 0.0175, "IoU.sculpture": 0.425, "IoU.hood": 0.3716, "IoU.sconce": 0.1516, "IoU.vase": 0.1834, "IoU.traffic light": 0.1895, "IoU.tray": 0.0148, "IoU.ashcan": 0.2987, "IoU.fan": 0.4361, "IoU.pier": 0.3244, "IoU.crt screen": 0.0168, "IoU.plate": 0.4978, "IoU.monitor": 0.0937, "IoU.bulletin board": 0.4335, "IoU.shower": 0.0032, "IoU.radiator": 0.5353, "IoU.glass": 0.0752, "IoU.clock": 0.2282, "IoU.flag": 0.2421, "Acc.wall": 0.8358, "Acc.building": 0.9338, "Acc.sky": 0.9718, "Acc.floor": 0.8761, "Acc.tree": 0.8232, "Acc.ceiling": 0.9133, "Acc.road": 0.8575, "Acc.bed ": 0.9411, "Acc.windowpane": 0.7323, "Acc.grass": 0.7378, "Acc.cabinet": 0.6635, "Acc.sidewalk": 0.8353, "Acc.person": 0.8991, "Acc.earth": 0.4618, "Acc.door": 0.5239, "Acc.table": 0.6642, "Acc.mountain": 0.729, "Acc.plant": 0.6466, "Acc.curtain": 0.762, "Acc.chair": 0.6534, "Acc.car": 0.9119, "Acc.water": 0.7179, "Acc.painting": 0.7949, "Acc.sofa": 0.7563, "Acc.shelf": 0.6326, "Acc.house": 0.7281, "Acc.sea": 0.7024, "Acc.mirror": 0.7092, "Acc.rug": 0.7748, "Acc.field": 0.596, "Acc.armchair": 0.4642, "Acc.seat": 0.7492, "Acc.fence": 0.5565, "Acc.desk": 0.6316, "Acc.rock": 0.7816, "Acc.wardrobe": 0.7368, "Acc.lamp": 0.6533, "Acc.bathtub": 0.7557, "Acc.railing": 0.4635, "Acc.cushion": 0.6438, "Acc.base": 0.3885, "Acc.box": 0.2378, "Acc.column": 0.6095, "Acc.signboard": 0.4191, "Acc.chest of drawers": 0.4193, "Acc.counter": 0.2503, "Acc.sand": 0.5372, "Acc.sink": 0.743, "Acc.skyscraper": 0.7719, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8305, "Acc.grandstand": 0.711, "Acc.path": 0.2138, "Acc.stairs": 0.3154, "Acc.runway": 0.9342, "Acc.case": 0.7219, "Acc.pool table": 0.9651, "Acc.pillow": 0.6377, "Acc.screen door": 0.772, "Acc.stairway": 0.4734, "Acc.river": 0.3495, "Acc.bridge": 0.7936, "Acc.bookcase": 0.5916, "Acc.blind": NaN, "Acc.coffee table": 0.7963, "Acc.toilet": 0.8188, "Acc.flower": 0.3999, "Acc.book": 0.5873, "Acc.hill": 0.1224, "Acc.bench": 0.4802, "Acc.countertop": 0.5812, "Acc.stove": 0.7095, "Acc.palm": 0.6957, "Acc.kitchen island": 0.3528, "Acc.computer": 0.8963, "Acc.swivel chair": 0.6191, "Acc.boat": 0.718, "Acc.bar": 0.6505, "Acc.arcade machine": 0.86, "Acc.hovel": 0.4609, "Acc.bus": 0.903, "Acc.towel": 0.6734, "Acc.light": 0.392, "Acc.truck": 0.4091, "Acc.tower": 0.6298, "Acc.chandelier": 0.7237, "Acc.awning": 0.2864, "Acc.streetlight": 0.1386, "Acc.booth": 0.607, "Acc.television receiver": NaN, "Acc.airplane": 0.627, "Acc.dirt track": 0.016, "Acc.apparel": 0.4852, "Acc.pole": 0.1298, "Acc.land": 0.0086, "Acc.bannister": 0.0846, "Acc.escalator": 0.3806, "Acc.ottoman": 0.3419, "Acc.bottle": NaN, "Acc.buffet": 0.4915, "Acc.poster": 0.2096, "Acc.stage": 0.2133, "Acc.van": 0.5072, "Acc.ship": 0.9379, "Acc.fountain": 0.2867, "Acc.conveyer belt": 0.9401, "Acc.canopy": 0.5455, "Acc.washer": 0.7991, "Acc.plaything": 0.242, "Acc.swimming pool": 0.9047, "Acc.stool": 0.1363, "Acc.barrel": 0.8096, "Acc.basket": 0.416, "Acc.waterfall": 0.9615, "Acc.tent": 0.9884, "Acc.bag": 0.0828, "Acc.minibike": 0.8801, "Acc.cradle": NaN, "Acc.oven": 0.0952, "Acc.ball": 0.5916, "Acc.food": 0.616, "Acc.step": 0.0992, "Acc.tank": 0.5595, "Acc.trade name": 0.2653, "Acc.microwave": 0.7879, "Acc.pot": 0.5003, "Acc.animal": NaN, "Acc.bicycle": 0.7508, "Acc.lake": 0.0, "Acc.dishwasher": 0.3759, "Acc.screen": 0.8806, "Acc.blanket": 0.0201, "Acc.sculpture": 0.5235, "Acc.hood": 0.4313, "Acc.sconce": 0.1616, "Acc.vase": 0.2838, "Acc.traffic light": 0.3701, "Acc.tray": 0.0177, "Acc.ashcan": 0.4634, "Acc.fan": 0.5822, "Acc.pier": 0.3929, "Acc.crt screen": 0.0385, "Acc.plate": 0.632, "Acc.monitor": 0.1416, "Acc.bulletin board": 0.5645, "Acc.shower": 0.0032, "Acc.radiator": 0.7392, "Acc.glass": 0.0778, "Acc.clock": 0.2834, "Acc.flag": 0.2678} -{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 22752, "data_time": 3.67793, "decode.loss_seg": 0.47397, "decode.acc_seg": 65.77852, "aux.loss_seg": 0.21224, "aux.acc_seg": 64.75674, "loss": 0.68621, "time": 4.33714} -{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.49659, "decode.acc_seg": 64.85023, "aux.loss_seg": 0.21923, "aux.acc_seg": 63.77217, "loss": 0.71581, "time": 0.65837} -{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.47105, "decode.acc_seg": 66.36809, "aux.loss_seg": 0.21304, "aux.acc_seg": 65.02757, "loss": 0.68408, "time": 0.67492} -{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.45669, "decode.acc_seg": 66.29655, "aux.loss_seg": 0.20417, "aux.acc_seg": 65.23448, "loss": 0.66086, "time": 0.66935} -{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.4786, "decode.acc_seg": 67.4598, "aux.loss_seg": 0.21506, "aux.acc_seg": 66.35745, "loss": 0.69367, "time": 0.6827} -{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.47234, "decode.acc_seg": 66.08035, "aux.loss_seg": 0.21282, "aux.acc_seg": 64.86176, "loss": 0.68516, "time": 0.66584} -{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.44522, "decode.acc_seg": 66.02044, "aux.loss_seg": 0.19954, "aux.acc_seg": 64.97479, "loss": 0.64477, "time": 0.67658} -{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.47424, "decode.acc_seg": 66.6651, "aux.loss_seg": 0.20954, "aux.acc_seg": 65.73112, "loss": 0.68378, "time": 0.67494} -{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 22752, "data_time": 0.23472, "decode.loss_seg": 0.48775, "decode.acc_seg": 68.27363, "aux.loss_seg": 0.21747, "aux.acc_seg": 66.94944, "loss": 0.70522, "time": 0.88626} -{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.42633, "decode.acc_seg": 66.87675, "aux.loss_seg": 0.19294, "aux.acc_seg": 65.6847, "loss": 0.61927, "time": 0.66272} -{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.44132, "decode.acc_seg": 67.77307, "aux.loss_seg": 0.20216, "aux.acc_seg": 66.40412, "loss": 0.64349, "time": 0.67561} -{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.45233, "decode.acc_seg": 66.67478, "aux.loss_seg": 0.20493, "aux.acc_seg": 65.4609, "loss": 0.65725, "time": 0.66425} -{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.45172, "decode.acc_seg": 68.20724, "aux.loss_seg": 0.20311, "aux.acc_seg": 67.00777, "loss": 0.65483, "time": 0.67752} -{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.44982, "decode.acc_seg": 67.1711, "aux.loss_seg": 0.20457, "aux.acc_seg": 66.05605, "loss": 0.6544, "time": 0.66634} -{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 22752, "data_time": 0.00792, "decode.loss_seg": 0.4682, "decode.acc_seg": 67.62456, "aux.loss_seg": 0.2138, "aux.acc_seg": 66.3598, "loss": 0.682, "time": 0.67181} -{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.46895, "decode.acc_seg": 66.29716, "aux.loss_seg": 0.21379, "aux.acc_seg": 65.18924, "loss": 0.68274, "time": 0.67065} -{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.43804, "decode.acc_seg": 65.54206, "aux.loss_seg": 0.19921, "aux.acc_seg": 64.28356, "loss": 0.63725, "time": 0.6716} -{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.42875, "decode.acc_seg": 69.01509, "aux.loss_seg": 0.19652, "aux.acc_seg": 67.83626, "loss": 0.62527, "time": 0.66691} -{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.43572, "decode.acc_seg": 66.61687, "aux.loss_seg": 0.19655, "aux.acc_seg": 65.37408, "loss": 0.63226, "time": 0.64359} -{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.47934, "decode.acc_seg": 66.02202, "aux.loss_seg": 0.21397, "aux.acc_seg": 64.98888, "loss": 0.69331, "time": 0.66576} -{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.46806, "decode.acc_seg": 65.618, "aux.loss_seg": 0.209, "aux.acc_seg": 64.58172, "loss": 0.67706, "time": 0.63951} -{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.46462, "decode.acc_seg": 66.92485, "aux.loss_seg": 0.21095, "aux.acc_seg": 65.80126, "loss": 0.67557, "time": 0.64713} -{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.44592, "decode.acc_seg": 66.95825, "aux.loss_seg": 0.20429, "aux.acc_seg": 65.61392, "loss": 0.65021, "time": 0.65736} -{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.43042, "decode.acc_seg": 68.00106, "aux.loss_seg": 0.1998, "aux.acc_seg": 66.60305, "loss": 0.63022, "time": 0.67261} -{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.46724, "decode.acc_seg": 65.73822, "aux.loss_seg": 0.21106, "aux.acc_seg": 64.39222, "loss": 0.6783, "time": 0.66878} -{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.4799, "decode.acc_seg": 66.58877, "aux.loss_seg": 0.21566, "aux.acc_seg": 65.66647, "loss": 0.69556, "time": 0.6678} -{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.46055, "decode.acc_seg": 66.31261, "aux.loss_seg": 0.20586, "aux.acc_seg": 65.38268, "loss": 0.6664, "time": 0.66794} -{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.45896, "decode.acc_seg": 66.6358, "aux.loss_seg": 0.2047, "aux.acc_seg": 65.65804, "loss": 0.66366, "time": 0.65206} -{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.47734, "decode.acc_seg": 67.66593, "aux.loss_seg": 0.2153, "aux.acc_seg": 66.57738, "loss": 0.69265, "time": 0.65651} -{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.46504, "decode.acc_seg": 67.18236, "aux.loss_seg": 0.21134, "aux.acc_seg": 65.6746, "loss": 0.67637, "time": 0.67196} -{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.45545, "decode.acc_seg": 67.64556, "aux.loss_seg": 0.20423, "aux.acc_seg": 66.42544, "loss": 0.65968, "time": 0.67121} -{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.47549, "decode.acc_seg": 66.62813, "aux.loss_seg": 0.21385, "aux.acc_seg": 65.52806, "loss": 0.68934, "time": 0.64933} -{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.44626, "decode.acc_seg": 67.93867, "aux.loss_seg": 0.20146, "aux.acc_seg": 66.99799, "loss": 0.64772, "time": 0.65383} -{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 22752, "data_time": 0.22978, "decode.loss_seg": 0.49192, "decode.acc_seg": 67.229, "aux.loss_seg": 0.21668, "aux.acc_seg": 66.34349, "loss": 0.7086, "time": 0.88243} -{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.45323, "decode.acc_seg": 66.24299, "aux.loss_seg": 0.20338, "aux.acc_seg": 65.12216, "loss": 0.65661, "time": 0.6527} -{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.43339, "decode.acc_seg": 67.64337, "aux.loss_seg": 0.1998, "aux.acc_seg": 66.29073, "loss": 0.63319, "time": 0.65713} -{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.43571, "decode.acc_seg": 66.49051, "aux.loss_seg": 0.1968, "aux.acc_seg": 65.31674, "loss": 0.63251, "time": 0.65207} -{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.43261, "decode.acc_seg": 66.65521, "aux.loss_seg": 0.19613, "aux.acc_seg": 65.39693, "loss": 0.62874, "time": 0.64148} -{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.44513, "decode.acc_seg": 67.00392, "aux.loss_seg": 0.20284, "aux.acc_seg": 65.91718, "loss": 0.64797, "time": 0.6666} -{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.4387, "decode.acc_seg": 68.41509, "aux.loss_seg": 0.19489, "aux.acc_seg": 67.54268, "loss": 0.63359, "time": 0.66703} -{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.45146, "decode.acc_seg": 68.05331, "aux.loss_seg": 0.20306, "aux.acc_seg": 66.83035, "loss": 0.65452, "time": 0.67334} -{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.44274, "decode.acc_seg": 66.32686, "aux.loss_seg": 0.20007, "aux.acc_seg": 65.28512, "loss": 0.64282, "time": 0.64355} -{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.44799, "decode.acc_seg": 66.69285, "aux.loss_seg": 0.2023, "aux.acc_seg": 65.60535, "loss": 0.65029, "time": 0.65584} -{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.45381, "decode.acc_seg": 67.17867, "aux.loss_seg": 0.20454, "aux.acc_seg": 66.08174, "loss": 0.65836, "time": 0.66825} -{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.42366, "decode.acc_seg": 68.38829, "aux.loss_seg": 0.19216, "aux.acc_seg": 67.33863, "loss": 0.61582, "time": 0.6512} -{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.42825, "decode.acc_seg": 68.62881, "aux.loss_seg": 0.19387, "aux.acc_seg": 67.56397, "loss": 0.62212, "time": 0.66646} -{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 22752, "data_time": 0.00786, "decode.loss_seg": 0.4829, "decode.acc_seg": 66.92202, "aux.loss_seg": 0.21589, "aux.acc_seg": 65.83431, "loss": 0.69879, "time": 0.6706} -{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.42243, "decode.acc_seg": 68.41782, "aux.loss_seg": 0.19347, "aux.acc_seg": 67.25248, "loss": 0.6159, "time": 0.65321} -{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.41461, "decode.acc_seg": 68.47923, "aux.loss_seg": 0.18835, "aux.acc_seg": 67.33358, "loss": 0.60295, "time": 0.67506} -{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.44463, "decode.acc_seg": 65.99954, "aux.loss_seg": 0.20019, "aux.acc_seg": 64.84636, "loss": 0.64482, "time": 0.68294} -{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.43382, "decode.acc_seg": 67.62237, "aux.loss_seg": 0.1967, "aux.acc_seg": 66.28131, "loss": 0.63052, "time": 0.6571} -{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.46032, "decode.acc_seg": 66.21384, "aux.loss_seg": 0.20508, "aux.acc_seg": 64.95358, "loss": 0.6654, "time": 0.65475} -{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.43383, "decode.acc_seg": 67.9509, "aux.loss_seg": 0.19667, "aux.acc_seg": 66.72264, "loss": 0.6305, "time": 0.67303} -{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.46774, "decode.acc_seg": 67.80557, "aux.loss_seg": 0.21279, "aux.acc_seg": 66.64398, "loss": 0.68053, "time": 0.67435} -{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.41855, "decode.acc_seg": 67.29106, "aux.loss_seg": 0.19273, "aux.acc_seg": 66.02154, "loss": 0.61128, "time": 0.65782} -{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.45245, "decode.acc_seg": 67.63982, "aux.loss_seg": 0.20602, "aux.acc_seg": 66.44492, "loss": 0.65847, "time": 0.65145} -{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.44919, "decode.acc_seg": 67.25482, "aux.loss_seg": 0.20082, "aux.acc_seg": 66.05053, "loss": 0.65001, "time": 0.67113} -{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.45539, "decode.acc_seg": 66.07074, "aux.loss_seg": 0.20562, "aux.acc_seg": 64.79465, "loss": 0.66101, "time": 0.66375} -{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 22752, "data_time": 0.22756, "decode.loss_seg": 0.44253, "decode.acc_seg": 66.53647, "aux.loss_seg": 0.19807, "aux.acc_seg": 65.47046, "loss": 0.6406, "time": 0.8727} -{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.43281, "decode.acc_seg": 67.64769, "aux.loss_seg": 0.19774, "aux.acc_seg": 66.54325, "loss": 0.63054, "time": 0.65053} -{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.45277, "decode.acc_seg": 66.94831, "aux.loss_seg": 0.20667, "aux.acc_seg": 65.59871, "loss": 0.65945, "time": 0.67699} -{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.42718, "decode.acc_seg": 68.25456, "aux.loss_seg": 0.19581, "aux.acc_seg": 66.87306, "loss": 0.62299, "time": 0.67266} -{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.42395, "decode.acc_seg": 67.31438, "aux.loss_seg": 0.19083, "aux.acc_seg": 66.23636, "loss": 0.61478, "time": 0.67106} -{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.4279, "decode.acc_seg": 68.43101, "aux.loss_seg": 0.19796, "aux.acc_seg": 67.11415, "loss": 0.62587, "time": 0.66303} -{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.44941, "decode.acc_seg": 67.60717, "aux.loss_seg": 0.20337, "aux.acc_seg": 66.22702, "loss": 0.65278, "time": 0.67162} -{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.41858, "decode.acc_seg": 66.63121, "aux.loss_seg": 0.19033, "aux.acc_seg": 65.20056, "loss": 0.60891, "time": 0.6634} -{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.42275, "decode.acc_seg": 68.10592, "aux.loss_seg": 0.19322, "aux.acc_seg": 67.03442, "loss": 0.61597, "time": 0.66933} -{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.44213, "decode.acc_seg": 67.12392, "aux.loss_seg": 0.19981, "aux.acc_seg": 65.90903, "loss": 0.64193, "time": 0.66114} -{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.44196, "decode.acc_seg": 67.92648, "aux.loss_seg": 0.19779, "aux.acc_seg": 67.0386, "loss": 0.63976, "time": 0.64515} -{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.44839, "decode.acc_seg": 67.03304, "aux.loss_seg": 0.20016, "aux.acc_seg": 65.85082, "loss": 0.64855, "time": 0.65776} -{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.43718, "decode.acc_seg": 67.07075, "aux.loss_seg": 0.20027, "aux.acc_seg": 65.8067, "loss": 0.63745, "time": 0.65688} -{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.42571, "decode.acc_seg": 68.44443, "aux.loss_seg": 0.19271, "aux.acc_seg": 67.25344, "loss": 0.61842, "time": 0.66369} -{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 22752, "data_time": 0.00799, "decode.loss_seg": 0.43549, "decode.acc_seg": 67.17384, "aux.loss_seg": 0.19765, "aux.acc_seg": 66.03138, "loss": 0.63314, "time": 0.66883} -{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.43821, "decode.acc_seg": 66.49797, "aux.loss_seg": 0.20013, "aux.acc_seg": 65.2365, "loss": 0.63834, "time": 0.66644} -{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.4102, "decode.acc_seg": 67.30953, "aux.loss_seg": 0.1852, "aux.acc_seg": 66.29324, "loss": 0.59539, "time": 0.66757} -{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.44325, "decode.acc_seg": 66.9721, "aux.loss_seg": 0.20076, "aux.acc_seg": 65.61035, "loss": 0.64401, "time": 0.66896} -{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.4371, "decode.acc_seg": 67.03016, "aux.loss_seg": 0.20011, "aux.acc_seg": 65.84434, "loss": 0.63721, "time": 0.66114} -{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 22752, "data_time": 0.00784, "decode.loss_seg": 0.43619, "decode.acc_seg": 66.57736, "aux.loss_seg": 0.19596, "aux.acc_seg": 65.54073, "loss": 0.63215, "time": 0.66348} -{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.43112, "decode.acc_seg": 68.37314, "aux.loss_seg": 0.19474, "aux.acc_seg": 67.25329, "loss": 0.62586, "time": 0.66422} -{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.43929, "decode.acc_seg": 67.96269, "aux.loss_seg": 0.19912, "aux.acc_seg": 66.88895, "loss": 0.63841, "time": 0.67218} -{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.445, "decode.acc_seg": 68.77194, "aux.loss_seg": 0.19922, "aux.acc_seg": 67.7808, "loss": 0.64422, "time": 0.65648} -{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.44094, "decode.acc_seg": 67.30614, "aux.loss_seg": 0.19995, "aux.acc_seg": 66.16242, "loss": 0.64089, "time": 0.66056} -{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.42543, "decode.acc_seg": 68.34306, "aux.loss_seg": 0.18736, "aux.acc_seg": 67.65447, "loss": 0.61279, "time": 0.6563} -{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.43206, "decode.acc_seg": 67.3437, "aux.loss_seg": 0.19554, "aux.acc_seg": 66.12019, "loss": 0.62761, "time": 0.66835} -{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 22752, "data_time": 0.23021, "decode.loss_seg": 0.42244, "decode.acc_seg": 67.32111, "aux.loss_seg": 0.19218, "aux.acc_seg": 66.37821, "loss": 0.61463, "time": 0.88908} -{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.42448, "decode.acc_seg": 68.6058, "aux.loss_seg": 0.19562, "aux.acc_seg": 67.15283, "loss": 0.62011, "time": 0.67132} -{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.45512, "decode.acc_seg": 67.3089, "aux.loss_seg": 0.20129, "aux.acc_seg": 66.35688, "loss": 0.65641, "time": 0.67047} -{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.4124, "decode.acc_seg": 67.26878, "aux.loss_seg": 0.18749, "aux.acc_seg": 66.17885, "loss": 0.59989, "time": 0.65689} -{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.41022, "decode.acc_seg": 67.88691, "aux.loss_seg": 0.18658, "aux.acc_seg": 66.67889, "loss": 0.5968, "time": 0.66781} -{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.4193, "decode.acc_seg": 67.20413, "aux.loss_seg": 0.19054, "aux.acc_seg": 65.81194, "loss": 0.60984, "time": 0.67041} -{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 22752, "data_time": 0.00832, "decode.loss_seg": 0.40545, "decode.acc_seg": 68.433, "aux.loss_seg": 0.18511, "aux.acc_seg": 67.27635, "loss": 0.59056, "time": 0.6362} -{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.41756, "decode.acc_seg": 67.40485, "aux.loss_seg": 0.19088, "aux.acc_seg": 66.32506, "loss": 0.60844, "time": 0.67184} -{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.4211, "decode.acc_seg": 69.08293, "aux.loss_seg": 0.1907, "aux.acc_seg": 68.04025, "loss": 0.6118, "time": 0.65816} -{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.40096, "decode.acc_seg": 68.34763, "aux.loss_seg": 0.1824, "aux.acc_seg": 67.3987, "loss": 0.58336, "time": 0.66875} -{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.4337, "decode.acc_seg": 67.83972, "aux.loss_seg": 0.19486, "aux.acc_seg": 67.01572, "loss": 0.62856, "time": 0.6642} -{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.43386, "decode.acc_seg": 67.95522, "aux.loss_seg": 0.19975, "aux.acc_seg": 66.703, "loss": 0.63361, "time": 0.67828} -{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.43073, "decode.acc_seg": 68.15882, "aux.loss_seg": 0.1978, "aux.acc_seg": 66.80439, "loss": 0.62852, "time": 0.66042} -{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.40748, "decode.acc_seg": 67.58045, "aux.loss_seg": 0.18294, "aux.acc_seg": 66.62142, "loss": 0.59042, "time": 0.67732} -{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.43444, "decode.acc_seg": 67.95281, "aux.loss_seg": 0.19719, "aux.acc_seg": 66.90502, "loss": 0.63162, "time": 0.66198} -{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.41896, "decode.acc_seg": 65.76772, "aux.loss_seg": 0.19085, "aux.acc_seg": 64.67501, "loss": 0.60981, "time": 0.66591} -{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.43143, "decode.acc_seg": 68.68383, "aux.loss_seg": 0.19703, "aux.acc_seg": 67.31122, "loss": 0.62846, "time": 0.65143} -{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.42975, "decode.acc_seg": 68.28188, "aux.loss_seg": 0.19585, "aux.acc_seg": 67.1137, "loss": 0.6256, "time": 0.66676} -{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.42855, "decode.acc_seg": 67.87585, "aux.loss_seg": 0.19344, "aux.acc_seg": 66.937, "loss": 0.62199, "time": 0.67115} -{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.38916, "decode.acc_seg": 68.63358, "aux.loss_seg": 0.17668, "aux.acc_seg": 67.65033, "loss": 0.56584, "time": 0.67053} -{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.42369, "decode.acc_seg": 67.4556, "aux.loss_seg": 0.19393, "aux.acc_seg": 66.14685, "loss": 0.61762, "time": 0.6544} -{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.46519, "decode.acc_seg": 66.37777, "aux.loss_seg": 0.20567, "aux.acc_seg": 65.29302, "loss": 0.67087, "time": 0.67139} -{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.4313, "decode.acc_seg": 68.06479, "aux.loss_seg": 0.189, "aux.acc_seg": 67.36105, "loss": 0.6203, "time": 0.66866} -{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.42914, "decode.acc_seg": 67.44202, "aux.loss_seg": 0.19349, "aux.acc_seg": 66.36118, "loss": 0.62262, "time": 0.64477} -{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.41576, "decode.acc_seg": 68.10245, "aux.loss_seg": 0.18803, "aux.acc_seg": 66.91971, "loss": 0.60379, "time": 0.67456} -{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 22752, "data_time": 0.22774, "decode.loss_seg": 0.43062, "decode.acc_seg": 67.43105, "aux.loss_seg": 0.19632, "aux.acc_seg": 66.11488, "loss": 0.62694, "time": 0.88148} -{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.42612, "decode.acc_seg": 66.61943, "aux.loss_seg": 0.19082, "aux.acc_seg": 65.48495, "loss": 0.61694, "time": 0.65731} -{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.42848, "decode.acc_seg": 69.76579, "aux.loss_seg": 0.19717, "aux.acc_seg": 68.28638, "loss": 0.62564, "time": 0.66662} -{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.40621, "decode.acc_seg": 67.4806, "aux.loss_seg": 0.18604, "aux.acc_seg": 66.1684, "loss": 0.59225, "time": 0.66096} -{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.42793, "decode.acc_seg": 69.10175, "aux.loss_seg": 0.19347, "aux.acc_seg": 67.79368, "loss": 0.6214, "time": 0.65363} -{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 22752, "data_time": 0.0079, "decode.loss_seg": 0.39535, "decode.acc_seg": 69.05933, "aux.loss_seg": 0.18065, "aux.acc_seg": 68.12337, "loss": 0.576, "time": 0.65719} -{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.41376, "decode.acc_seg": 68.49873, "aux.loss_seg": 0.18774, "aux.acc_seg": 67.24248, "loss": 0.6015, "time": 0.66772} -{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.42448, "decode.acc_seg": 67.47444, "aux.loss_seg": 0.19228, "aux.acc_seg": 66.182, "loss": 0.61676, "time": 0.66743} -{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.40039, "decode.acc_seg": 69.33149, "aux.loss_seg": 0.18213, "aux.acc_seg": 68.23845, "loss": 0.58252, "time": 0.64825} -{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.37638, "decode.acc_seg": 68.55354, "aux.loss_seg": 0.1743, "aux.acc_seg": 67.17851, "loss": 0.55068, "time": 0.64714} -{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.41784, "decode.acc_seg": 69.63167, "aux.loss_seg": 0.19176, "aux.acc_seg": 68.4865, "loss": 0.6096, "time": 0.64437} -{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.41298, "decode.acc_seg": 68.1134, "aux.loss_seg": 0.18637, "aux.acc_seg": 67.17945, "loss": 0.59935, "time": 0.6648} -{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.42252, "decode.acc_seg": 66.81399, "aux.loss_seg": 0.19053, "aux.acc_seg": 65.8532, "loss": 0.61306, "time": 0.66642} -{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.40875, "decode.acc_seg": 68.75436, "aux.loss_seg": 0.18686, "aux.acc_seg": 67.51535, "loss": 0.59561, "time": 0.67264} -{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.39608, "decode.acc_seg": 69.60861, "aux.loss_seg": 0.18047, "aux.acc_seg": 68.32592, "loss": 0.57655, "time": 0.64352} -{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.40824, "decode.acc_seg": 67.42786, "aux.loss_seg": 0.18715, "aux.acc_seg": 66.34131, "loss": 0.5954, "time": 0.65947} -{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.39431, "decode.acc_seg": 67.87318, "aux.loss_seg": 0.17706, "aux.acc_seg": 67.00115, "loss": 0.57137, "time": 0.6654} -{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.40248, "decode.acc_seg": 67.6018, "aux.loss_seg": 0.18137, "aux.acc_seg": 66.51739, "loss": 0.58385, "time": 0.66713} -{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.44355, "decode.acc_seg": 67.03197, "aux.loss_seg": 0.19973, "aux.acc_seg": 65.85274, "loss": 0.64328, "time": 0.66275} -{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.43845, "decode.acc_seg": 66.34057, "aux.loss_seg": 0.19797, "aux.acc_seg": 65.22795, "loss": 0.63643, "time": 0.66699} -{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.4085, "decode.acc_seg": 67.15931, "aux.loss_seg": 0.18271, "aux.acc_seg": 65.99877, "loss": 0.59121, "time": 0.67144} -{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.41824, "decode.acc_seg": 67.63976, "aux.loss_seg": 0.19035, "aux.acc_seg": 66.4236, "loss": 0.60859, "time": 0.64773} -{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.40751, "decode.acc_seg": 69.17956, "aux.loss_seg": 0.18534, "aux.acc_seg": 67.78866, "loss": 0.59285, "time": 0.63938} -{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.41535, "decode.acc_seg": 67.69333, "aux.loss_seg": 0.18703, "aux.acc_seg": 66.75409, "loss": 0.60238, "time": 0.65435} -{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.40751, "decode.acc_seg": 68.16923, "aux.loss_seg": 0.18565, "aux.acc_seg": 67.10197, "loss": 0.59316, "time": 0.6436} -{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 22752, "data_time": 0.23046, "decode.loss_seg": 0.39767, "decode.acc_seg": 68.96958, "aux.loss_seg": 0.18157, "aux.acc_seg": 67.84101, "loss": 0.57923, "time": 0.86168} -{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.39514, "decode.acc_seg": 69.07723, "aux.loss_seg": 0.18088, "aux.acc_seg": 67.74058, "loss": 0.57602, "time": 0.67497} -{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.3971, "decode.acc_seg": 68.55206, "aux.loss_seg": 0.18318, "aux.acc_seg": 67.3173, "loss": 0.58028, "time": 0.64804} -{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.38923, "decode.acc_seg": 68.03273, "aux.loss_seg": 0.18008, "aux.acc_seg": 66.63502, "loss": 0.56931, "time": 0.67574} -{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.3842, "decode.acc_seg": 68.22488, "aux.loss_seg": 0.1777, "aux.acc_seg": 67.03959, "loss": 0.5619, "time": 0.67414} -{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.36669, "decode.acc_seg": 68.3412, "aux.loss_seg": 0.16932, "aux.acc_seg": 66.98839, "loss": 0.53601, "time": 0.65738} -{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.41121, "decode.acc_seg": 67.98898, "aux.loss_seg": 0.19015, "aux.acc_seg": 66.74143, "loss": 0.60136, "time": 0.67259} -{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.41059, "decode.acc_seg": 67.61087, "aux.loss_seg": 0.18697, "aux.acc_seg": 66.40618, "loss": 0.59756, "time": 0.66852} -{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.4306, "decode.acc_seg": 67.66643, "aux.loss_seg": 0.19611, "aux.acc_seg": 66.45673, "loss": 0.62671, "time": 0.65185} -{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.40246, "decode.acc_seg": 69.34501, "aux.loss_seg": 0.18204, "aux.acc_seg": 68.23584, "loss": 0.5845, "time": 0.66978} -{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.41052, "decode.acc_seg": 68.1016, "aux.loss_seg": 0.18864, "aux.acc_seg": 66.81638, "loss": 0.59916, "time": 0.65908} -{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.37267, "decode.acc_seg": 66.68425, "aux.loss_seg": 0.17098, "aux.acc_seg": 65.52384, "loss": 0.54365, "time": 0.66443} -{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.40995, "decode.acc_seg": 68.58732, "aux.loss_seg": 0.18509, "aux.acc_seg": 67.62925, "loss": 0.59504, "time": 0.67408} -{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.38523, "decode.acc_seg": 70.53031, "aux.loss_seg": 0.17747, "aux.acc_seg": 69.1214, "loss": 0.56269, "time": 0.66116} -{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.40702, "decode.acc_seg": 69.90244, "aux.loss_seg": 0.1859, "aux.acc_seg": 68.73852, "loss": 0.59293, "time": 0.66744} -{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.40138, "decode.acc_seg": 68.98239, "aux.loss_seg": 0.18242, "aux.acc_seg": 67.86023, "loss": 0.58381, "time": 0.65683} -{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.40021, "decode.acc_seg": 68.45473, "aux.loss_seg": 0.18577, "aux.acc_seg": 67.11771, "loss": 0.58597, "time": 0.63859} -{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.40906, "decode.acc_seg": 68.83314, "aux.loss_seg": 0.18621, "aux.acc_seg": 67.89164, "loss": 0.59527, "time": 0.65128} -{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.3792, "decode.acc_seg": 68.2075, "aux.loss_seg": 0.17302, "aux.acc_seg": 67.11341, "loss": 0.55222, "time": 0.66644} -{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.39447, "decode.acc_seg": 67.04995, "aux.loss_seg": 0.17803, "aux.acc_seg": 65.88127, "loss": 0.57249, "time": 0.66656} -{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.38955, "decode.acc_seg": 68.36978, "aux.loss_seg": 0.18163, "aux.acc_seg": 67.0459, "loss": 0.57118, "time": 0.66821} -{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.4061, "decode.acc_seg": 69.02542, "aux.loss_seg": 0.18528, "aux.acc_seg": 67.66712, "loss": 0.59137, "time": 0.65246} -{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.38798, "decode.acc_seg": 69.08886, "aux.loss_seg": 0.17769, "aux.acc_seg": 67.88198, "loss": 0.56567, "time": 0.673} -{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.38854, "decode.acc_seg": 69.34144, "aux.loss_seg": 0.17929, "aux.acc_seg": 68.07105, "loss": 0.56783, "time": 0.67322} -{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.40173, "decode.acc_seg": 68.72171, "aux.loss_seg": 0.1834, "aux.acc_seg": 67.57743, "loss": 0.58513, "time": 0.66361} -{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 22752, "data_time": 0.23139, "decode.loss_seg": 0.3778, "decode.acc_seg": 68.36308, "aux.loss_seg": 0.17649, "aux.acc_seg": 67.18903, "loss": 0.55428, "time": 0.88669} -{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.39144, "decode.acc_seg": 68.95793, "aux.loss_seg": 0.17732, "aux.acc_seg": 67.84698, "loss": 0.56877, "time": 0.65989} -{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.41508, "decode.acc_seg": 68.45707, "aux.loss_seg": 0.18888, "aux.acc_seg": 67.38906, "loss": 0.60396, "time": 0.67716} -{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.40023, "decode.acc_seg": 68.6368, "aux.loss_seg": 0.18359, "aux.acc_seg": 67.63638, "loss": 0.58382, "time": 0.66869} -{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.39964, "decode.acc_seg": 68.25799, "aux.loss_seg": 0.18381, "aux.acc_seg": 66.84695, "loss": 0.58345, "time": 0.6649} -{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.37612, "decode.acc_seg": 68.45225, "aux.loss_seg": 0.17251, "aux.acc_seg": 67.38561, "loss": 0.54863, "time": 0.66824} -{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.39833, "decode.acc_seg": 68.93303, "aux.loss_seg": 0.18173, "aux.acc_seg": 67.90878, "loss": 0.58006, "time": 0.66986} -{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.39141, "decode.acc_seg": 69.41489, "aux.loss_seg": 0.18216, "aux.acc_seg": 68.16004, "loss": 0.57357, "time": 0.67029} -{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.38011, "decode.acc_seg": 70.36904, "aux.loss_seg": 0.17489, "aux.acc_seg": 69.09791, "loss": 0.555, "time": 0.6665} -{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 22752, "data_time": 0.01076, "decode.loss_seg": 0.40006, "decode.acc_seg": 67.69858, "aux.loss_seg": 0.18405, "aux.acc_seg": 66.46627, "loss": 0.58411, "time": 0.6545} -{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.39801, "decode.acc_seg": 67.90932, "aux.loss_seg": 0.18173, "aux.acc_seg": 66.75969, "loss": 0.57974, "time": 0.65907} -{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.40669, "decode.acc_seg": 68.03277, "aux.loss_seg": 0.18666, "aux.acc_seg": 66.82245, "loss": 0.59335, "time": 0.66777} -{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.41068, "decode.acc_seg": 67.34404, "aux.loss_seg": 0.187, "aux.acc_seg": 66.08585, "loss": 0.59768, "time": 0.6466} -{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.41601, "decode.acc_seg": 66.75374, "aux.loss_seg": 0.1879, "aux.acc_seg": 65.56783, "loss": 0.60392, "time": 0.67015} -{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.38578, "decode.acc_seg": 68.72704, "aux.loss_seg": 0.17828, "aux.acc_seg": 67.40484, "loss": 0.56407, "time": 0.66646} -{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.40707, "decode.acc_seg": 68.77787, "aux.loss_seg": 0.18726, "aux.acc_seg": 67.4114, "loss": 0.59432, "time": 0.66521} -{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 22752, "data_time": 0.01034, "decode.loss_seg": 0.36541, "decode.acc_seg": 67.66821, "aux.loss_seg": 0.16533, "aux.acc_seg": 66.67349, "loss": 0.53073, "time": 0.65718} -{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.39102, "decode.acc_seg": 67.90104, "aux.loss_seg": 0.17657, "aux.acc_seg": 66.75804, "loss": 0.5676, "time": 0.67881} -{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.38001, "decode.acc_seg": 68.53781, "aux.loss_seg": 0.17613, "aux.acc_seg": 67.39933, "loss": 0.55614, "time": 0.67103} -{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.41811, "decode.acc_seg": 68.13731, "aux.loss_seg": 0.19127, "aux.acc_seg": 66.87454, "loss": 0.60938, "time": 0.67359} -{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.42733, "decode.acc_seg": 68.59347, "aux.loss_seg": 0.19233, "aux.acc_seg": 67.38111, "loss": 0.61966, "time": 0.65457} -{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 22752, "data_time": 0.01064, "decode.loss_seg": 0.38459, "decode.acc_seg": 68.65967, "aux.loss_seg": 0.17536, "aux.acc_seg": 67.45369, "loss": 0.55995, "time": 0.654} -{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.37176, "decode.acc_seg": 69.15069, "aux.loss_seg": 0.16906, "aux.acc_seg": 68.13115, "loss": 0.54082, "time": 0.62807} -{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.39065, "decode.acc_seg": 68.48679, "aux.loss_seg": 0.1763, "aux.acc_seg": 67.33878, "loss": 0.56695, "time": 0.65874} -{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.41456, "decode.acc_seg": 69.30857, "aux.loss_seg": 0.18771, "aux.acc_seg": 68.36902, "loss": 0.60227, "time": 0.67213} -{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.39682, "decode.acc_seg": 69.51668, "aux.loss_seg": 0.1815, "aux.acc_seg": 68.18315, "loss": 0.57833, "time": 0.67122} -{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 22752, "data_time": 0.24013, "decode.loss_seg": 0.3761, "decode.acc_seg": 68.00844, "aux.loss_seg": 0.17368, "aux.acc_seg": 66.72816, "loss": 0.54978, "time": 0.88594} -{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.3881, "decode.acc_seg": 69.13204, "aux.loss_seg": 0.17915, "aux.acc_seg": 67.80849, "loss": 0.56725, "time": 0.66525} -{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.35586, "decode.acc_seg": 70.86528, "aux.loss_seg": 0.16716, "aux.acc_seg": 69.42697, "loss": 0.52302, "time": 0.66498} -{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.37935, "decode.acc_seg": 68.45529, "aux.loss_seg": 0.17405, "aux.acc_seg": 67.25638, "loss": 0.55341, "time": 0.67241} -{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.38252, "decode.acc_seg": 66.95477, "aux.loss_seg": 0.17529, "aux.acc_seg": 65.78636, "loss": 0.55781, "time": 0.65448} -{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.3705, "decode.acc_seg": 68.23441, "aux.loss_seg": 0.17083, "aux.acc_seg": 66.99254, "loss": 0.54133, "time": 0.64477} -{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.3844, "decode.acc_seg": 69.95689, "aux.loss_seg": 0.18054, "aux.acc_seg": 68.41152, "loss": 0.56494, "time": 0.6708} -{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.37717, "decode.acc_seg": 69.01724, "aux.loss_seg": 0.17558, "aux.acc_seg": 67.87875, "loss": 0.55275, "time": 0.66792} -{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.35778, "decode.acc_seg": 68.30031, "aux.loss_seg": 0.16463, "aux.acc_seg": 67.07973, "loss": 0.52241, "time": 0.66451} -{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.38522, "decode.acc_seg": 68.86603, "aux.loss_seg": 0.17859, "aux.acc_seg": 67.43226, "loss": 0.56381, "time": 0.67438} -{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.37917, "decode.acc_seg": 68.22664, "aux.loss_seg": 0.17553, "aux.acc_seg": 66.89669, "loss": 0.55471, "time": 0.66672} -{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.38061, "decode.acc_seg": 69.75139, "aux.loss_seg": 0.17403, "aux.acc_seg": 68.52843, "loss": 0.55464, "time": 0.65047} -{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 22752, "data_time": 0.00863, "decode.loss_seg": 0.37624, "decode.acc_seg": 70.03792, "aux.loss_seg": 0.17664, "aux.acc_seg": 68.65377, "loss": 0.55287, "time": 0.64323} -{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.36865, "decode.acc_seg": 69.46147, "aux.loss_seg": 0.16837, "aux.acc_seg": 68.35081, "loss": 0.53702, "time": 0.65547} -{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.38034, "decode.acc_seg": 69.74692, "aux.loss_seg": 0.17543, "aux.acc_seg": 68.5692, "loss": 0.55577, "time": 0.67506} -{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.38372, "decode.acc_seg": 70.05872, "aux.loss_seg": 0.17462, "aux.acc_seg": 68.96818, "loss": 0.55835, "time": 0.64727} -{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.40271, "decode.acc_seg": 68.61949, "aux.loss_seg": 0.18365, "aux.acc_seg": 67.48152, "loss": 0.58636, "time": 0.65507} -{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.38344, "decode.acc_seg": 68.2949, "aux.loss_seg": 0.17733, "aux.acc_seg": 67.06113, "loss": 0.56077, "time": 0.64961} -{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.38462, "decode.acc_seg": 67.10347, "aux.loss_seg": 0.17736, "aux.acc_seg": 65.87889, "loss": 0.56197, "time": 0.66785} -{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.40503, "decode.acc_seg": 70.2754, "aux.loss_seg": 0.18347, "aux.acc_seg": 69.22641, "loss": 0.5885, "time": 0.67076} -{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.36609, "decode.acc_seg": 68.63838, "aux.loss_seg": 0.16621, "aux.acc_seg": 67.58166, "loss": 0.5323, "time": 0.67401} -{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.40638, "decode.acc_seg": 69.38402, "aux.loss_seg": 0.18428, "aux.acc_seg": 68.21213, "loss": 0.59065, "time": 0.65334} -{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.37823, "decode.acc_seg": 67.69665, "aux.loss_seg": 0.17356, "aux.acc_seg": 66.38426, "loss": 0.55179, "time": 0.65317} -{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 22752, "data_time": 0.00861, "decode.loss_seg": 0.38402, "decode.acc_seg": 69.09406, "aux.loss_seg": 0.17559, "aux.acc_seg": 68.14595, "loss": 0.55961, "time": 0.65378} -{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.3724, "decode.acc_seg": 67.90003, "aux.loss_seg": 0.17176, "aux.acc_seg": 66.64499, "loss": 0.54416, "time": 0.63957} -{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 22752, "data_time": 0.24273, "decode.loss_seg": 0.3813, "decode.acc_seg": 69.59557, "aux.loss_seg": 0.17456, "aux.acc_seg": 68.4878, "loss": 0.55586, "time": 0.8914} -{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.36714, "decode.acc_seg": 70.14332, "aux.loss_seg": 0.17288, "aux.acc_seg": 68.87941, "loss": 0.54002, "time": 0.66029} -{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.34013, "decode.acc_seg": 69.39609, "aux.loss_seg": 0.16051, "aux.acc_seg": 67.99466, "loss": 0.50064, "time": 0.67143} -{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.36398, "decode.acc_seg": 70.17275, "aux.loss_seg": 0.1657, "aux.acc_seg": 69.06952, "loss": 0.52967, "time": 0.63821} -{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.33588, "decode.acc_seg": 69.06197, "aux.loss_seg": 0.15709, "aux.acc_seg": 67.9272, "loss": 0.49297, "time": 0.64529} -{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.37714, "decode.acc_seg": 68.75441, "aux.loss_seg": 0.17509, "aux.acc_seg": 67.47251, "loss": 0.55223, "time": 0.66695} -{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.38224, "decode.acc_seg": 68.95078, "aux.loss_seg": 0.1744, "aux.acc_seg": 67.86081, "loss": 0.55665, "time": 0.67739} -{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.34088, "decode.acc_seg": 69.54701, "aux.loss_seg": 0.16146, "aux.acc_seg": 68.26989, "loss": 0.50234, "time": 0.66796} -{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.3647, "decode.acc_seg": 69.20033, "aux.loss_seg": 0.16802, "aux.acc_seg": 67.83977, "loss": 0.53272, "time": 0.6556} -{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.36141, "decode.acc_seg": 68.22222, "aux.loss_seg": 0.16959, "aux.acc_seg": 66.7932, "loss": 0.53101, "time": 0.65628} -{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.36511, "decode.acc_seg": 69.50878, "aux.loss_seg": 0.16998, "aux.acc_seg": 68.39207, "loss": 0.53509, "time": 0.67267} -{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.37595, "decode.acc_seg": 69.75822, "aux.loss_seg": 0.17317, "aux.acc_seg": 68.48239, "loss": 0.54912, "time": 0.66985} -{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.3806, "decode.acc_seg": 69.60902, "aux.loss_seg": 0.17319, "aux.acc_seg": 68.59866, "loss": 0.55379, "time": 0.67183} -{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.39059, "decode.acc_seg": 68.98412, "aux.loss_seg": 0.17728, "aux.acc_seg": 67.98998, "loss": 0.56786, "time": 0.6709} -{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.35448, "decode.acc_seg": 69.50263, "aux.loss_seg": 0.1629, "aux.acc_seg": 68.58882, "loss": 0.51739, "time": 0.67616} -{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.4047, "decode.acc_seg": 67.03852, "aux.loss_seg": 0.18377, "aux.acc_seg": 65.86547, "loss": 0.58847, "time": 0.66078} -{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.38355, "decode.acc_seg": 67.76803, "aux.loss_seg": 0.17451, "aux.acc_seg": 66.72797, "loss": 0.55806, "time": 0.65592} -{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.41373, "decode.acc_seg": 69.51747, "aux.loss_seg": 0.18671, "aux.acc_seg": 68.54969, "loss": 0.60044, "time": 0.66077} -{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.38242, "decode.acc_seg": 68.3983, "aux.loss_seg": 0.17507, "aux.acc_seg": 67.07914, "loss": 0.55749, "time": 0.66918} -{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.3826, "decode.acc_seg": 69.99194, "aux.loss_seg": 0.17918, "aux.acc_seg": 68.50131, "loss": 0.56178, "time": 0.67457} -{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.35637, "decode.acc_seg": 69.59903, "aux.loss_seg": 0.16294, "aux.acc_seg": 68.388, "loss": 0.51931, "time": 0.67198} -{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 22752, "data_time": 0.01066, "decode.loss_seg": 0.36636, "decode.acc_seg": 70.8317, "aux.loss_seg": 0.16834, "aux.acc_seg": 69.75532, "loss": 0.5347, "time": 0.6713} -{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.36975, "decode.acc_seg": 68.72659, "aux.loss_seg": 0.1689, "aux.acc_seg": 67.71974, "loss": 0.53866, "time": 0.65678} -{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.37142, "decode.acc_seg": 66.9008, "aux.loss_seg": 0.17045, "aux.acc_seg": 65.82853, "loss": 0.54187, "time": 0.65567} -{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.43711, "decode.acc_seg": 68.21966, "aux.loss_seg": 0.1968, "aux.acc_seg": 66.87306, "loss": 0.63391, "time": 0.6678} -{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 22752, "data_time": 0.23092, "decode.loss_seg": 0.38274, "decode.acc_seg": 68.08381, "aux.loss_seg": 0.17517, "aux.acc_seg": 66.73636, "loss": 0.55791, "time": 0.85664} -{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.3601, "decode.acc_seg": 68.49232, "aux.loss_seg": 0.16705, "aux.acc_seg": 67.12717, "loss": 0.52714, "time": 0.67274} -{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.36991, "decode.acc_seg": 70.52584, "aux.loss_seg": 0.17087, "aux.acc_seg": 69.16836, "loss": 0.54079, "time": 0.66602} -{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.36134, "decode.acc_seg": 69.8869, "aux.loss_seg": 0.16805, "aux.acc_seg": 68.63156, "loss": 0.52938, "time": 0.65434} -{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.35193, "decode.acc_seg": 69.343, "aux.loss_seg": 0.16405, "aux.acc_seg": 68.13731, "loss": 0.51598, "time": 0.66936} -{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.3665, "decode.acc_seg": 69.38669, "aux.loss_seg": 0.16949, "aux.acc_seg": 68.19597, "loss": 0.53598, "time": 0.65726} -{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.36074, "decode.acc_seg": 69.51218, "aux.loss_seg": 0.16451, "aux.acc_seg": 68.40408, "loss": 0.52526, "time": 0.65583} -{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.37323, "decode.acc_seg": 69.81628, "aux.loss_seg": 0.17397, "aux.acc_seg": 68.46275, "loss": 0.54721, "time": 0.67141} -{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.37134, "decode.acc_seg": 68.18702, "aux.loss_seg": 0.1696, "aux.acc_seg": 67.24578, "loss": 0.54094, "time": 0.6664} -{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.34881, "decode.acc_seg": 68.68748, "aux.loss_seg": 0.1631, "aux.acc_seg": 67.34399, "loss": 0.51191, "time": 0.66789} -{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.351, "decode.acc_seg": 69.72524, "aux.loss_seg": 0.16385, "aux.acc_seg": 68.424, "loss": 0.51485, "time": 0.65785} -{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.35969, "decode.acc_seg": 70.6179, "aux.loss_seg": 0.16949, "aux.acc_seg": 69.29942, "loss": 0.52918, "time": 0.64964} -{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.36716, "decode.acc_seg": 69.20532, "aux.loss_seg": 0.17128, "aux.acc_seg": 67.96764, "loss": 0.53844, "time": 0.65584} -{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.35638, "decode.acc_seg": 69.64159, "aux.loss_seg": 0.16311, "aux.acc_seg": 68.52754, "loss": 0.51948, "time": 0.66671} -{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.34821, "decode.acc_seg": 69.07231, "aux.loss_seg": 0.16065, "aux.acc_seg": 68.13153, "loss": 0.50886, "time": 0.67107} -{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.35177, "decode.acc_seg": 68.62774, "aux.loss_seg": 0.16327, "aux.acc_seg": 67.2876, "loss": 0.51505, "time": 0.66136} -{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.3619, "decode.acc_seg": 68.50345, "aux.loss_seg": 0.16927, "aux.acc_seg": 66.90461, "loss": 0.53117, "time": 0.67098} -{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.36319, "decode.acc_seg": 69.63245, "aux.loss_seg": 0.1666, "aux.acc_seg": 68.47702, "loss": 0.52979, "time": 0.67483} -{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.35166, "decode.acc_seg": 70.04338, "aux.loss_seg": 0.16577, "aux.acc_seg": 68.50536, "loss": 0.51743, "time": 0.66214} -{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.36669, "decode.acc_seg": 70.39317, "aux.loss_seg": 0.16866, "aux.acc_seg": 69.24583, "loss": 0.53535, "time": 0.66152} -{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.38118, "decode.acc_seg": 68.51776, "aux.loss_seg": 0.17509, "aux.acc_seg": 67.24821, "loss": 0.55627, "time": 0.67817} -{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.36167, "decode.acc_seg": 68.86821, "aux.loss_seg": 0.16749, "aux.acc_seg": 67.66561, "loss": 0.52916, "time": 0.67191} -{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.37444, "decode.acc_seg": 68.30989, "aux.loss_seg": 0.17482, "aux.acc_seg": 67.10087, "loss": 0.54926, "time": 0.67492} -{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.36796, "decode.acc_seg": 68.88786, "aux.loss_seg": 0.1678, "aux.acc_seg": 67.85376, "loss": 0.53576, "time": 0.66624} -{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.36473, "decode.acc_seg": 70.06874, "aux.loss_seg": 0.17053, "aux.acc_seg": 68.64619, "loss": 0.53525, "time": 0.65921} -{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 22752, "data_time": 0.22758, "decode.loss_seg": 0.3575, "decode.acc_seg": 70.67891, "aux.loss_seg": 0.16629, "aux.acc_seg": 69.22688, "loss": 0.52379, "time": 0.88023} -{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.35305, "decode.acc_seg": 70.36537, "aux.loss_seg": 0.16426, "aux.acc_seg": 69.22096, "loss": 0.51731, "time": 0.66513} -{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.34423, "decode.acc_seg": 69.19123, "aux.loss_seg": 0.16328, "aux.acc_seg": 67.65398, "loss": 0.50751, "time": 0.67871} -{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.34279, "decode.acc_seg": 70.04822, "aux.loss_seg": 0.16108, "aux.acc_seg": 68.59464, "loss": 0.50388, "time": 0.6605} -{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.34027, "decode.acc_seg": 69.63904, "aux.loss_seg": 0.16095, "aux.acc_seg": 68.49297, "loss": 0.50122, "time": 0.6737} -{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.36348, "decode.acc_seg": 67.8404, "aux.loss_seg": 0.16618, "aux.acc_seg": 66.89538, "loss": 0.52966, "time": 0.65699} -{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.3906, "decode.acc_seg": 68.05724, "aux.loss_seg": 0.18081, "aux.acc_seg": 66.72627, "loss": 0.57141, "time": 0.65128} -{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.39205, "decode.acc_seg": 69.88342, "aux.loss_seg": 0.18261, "aux.acc_seg": 68.5294, "loss": 0.57467, "time": 0.65669} -{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.38367, "decode.acc_seg": 69.90239, "aux.loss_seg": 0.17789, "aux.acc_seg": 68.49066, "loss": 0.56156, "time": 0.65879} -{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.34862, "decode.acc_seg": 67.30182, "aux.loss_seg": 0.16524, "aux.acc_seg": 66.04412, "loss": 0.51386, "time": 0.66484} -{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.3483, "decode.acc_seg": 69.96943, "aux.loss_seg": 0.16102, "aux.acc_seg": 68.96734, "loss": 0.50932, "time": 0.66323} -{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.33588, "decode.acc_seg": 70.796, "aux.loss_seg": 0.1574, "aux.acc_seg": 69.48121, "loss": 0.49328, "time": 0.6699} -{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.3544, "decode.acc_seg": 69.69173, "aux.loss_seg": 0.16567, "aux.acc_seg": 68.31215, "loss": 0.52007, "time": 0.67887} -{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 22752, "data_time": 0.01073, "decode.loss_seg": 0.35173, "decode.acc_seg": 69.64269, "aux.loss_seg": 0.1677, "aux.acc_seg": 68.00551, "loss": 0.51943, "time": 0.67845} -{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.35239, "decode.acc_seg": 68.1624, "aux.loss_seg": 0.16295, "aux.acc_seg": 67.02731, "loss": 0.51534, "time": 0.66881} -{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.33896, "decode.acc_seg": 69.78746, "aux.loss_seg": 0.15764, "aux.acc_seg": 68.62009, "loss": 0.4966, "time": 0.68253} -{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.38878, "decode.acc_seg": 69.33838, "aux.loss_seg": 0.17849, "aux.acc_seg": 68.03237, "loss": 0.56727, "time": 0.65162} -{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.35678, "decode.acc_seg": 68.3625, "aux.loss_seg": 0.1669, "aux.acc_seg": 67.21923, "loss": 0.52368, "time": 0.67273} -{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.36024, "decode.acc_seg": 69.86945, "aux.loss_seg": 0.16632, "aux.acc_seg": 68.69432, "loss": 0.52656, "time": 0.66986} -{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.36291, "decode.acc_seg": 68.99761, "aux.loss_seg": 0.16683, "aux.acc_seg": 67.80622, "loss": 0.52974, "time": 0.65909} -{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.35465, "decode.acc_seg": 70.15834, "aux.loss_seg": 0.16398, "aux.acc_seg": 68.99069, "loss": 0.51862, "time": 0.67464} -{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.36674, "decode.acc_seg": 69.64299, "aux.loss_seg": 0.17014, "aux.acc_seg": 68.30252, "loss": 0.53688, "time": 0.67679} -{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.3652, "decode.acc_seg": 70.46995, "aux.loss_seg": 0.169, "aux.acc_seg": 69.45387, "loss": 0.5342, "time": 0.66782} -{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.35777, "decode.acc_seg": 70.04052, "aux.loss_seg": 0.16575, "aux.acc_seg": 68.93642, "loss": 0.52352, "time": 0.66402} -{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.33016, "decode.acc_seg": 69.48349, "aux.loss_seg": 0.15454, "aux.acc_seg": 68.18206, "loss": 0.4847, "time": 0.66155} -{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 22752, "data_time": 0.00791, "decode.loss_seg": 0.37556, "decode.acc_seg": 69.0711, "aux.loss_seg": 0.17189, "aux.acc_seg": 68.1702, "loss": 0.54744, "time": 0.66652} -{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 22752, "data_time": 0.22666, "decode.loss_seg": 0.37732, "decode.acc_seg": 69.05603, "aux.loss_seg": 0.17406, "aux.acc_seg": 67.70052, "loss": 0.55138, "time": 0.88944} -{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.34036, "decode.acc_seg": 69.59288, "aux.loss_seg": 0.16086, "aux.acc_seg": 68.03414, "loss": 0.50122, "time": 0.66145} -{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.33775, "decode.acc_seg": 69.79091, "aux.loss_seg": 0.15855, "aux.acc_seg": 68.52012, "loss": 0.4963, "time": 0.65832} -{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.35371, "decode.acc_seg": 69.95025, "aux.loss_seg": 0.16742, "aux.acc_seg": 68.69061, "loss": 0.52113, "time": 0.65064} -{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.34598, "decode.acc_seg": 69.81493, "aux.loss_seg": 0.16153, "aux.acc_seg": 68.48414, "loss": 0.50751, "time": 0.65546} -{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.35123, "decode.acc_seg": 70.33011, "aux.loss_seg": 0.16422, "aux.acc_seg": 69.14511, "loss": 0.51545, "time": 0.67223} -{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.37945, "decode.acc_seg": 68.68202, "aux.loss_seg": 0.17551, "aux.acc_seg": 67.42572, "loss": 0.55495, "time": 0.64888} -{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.39244, "decode.acc_seg": 69.64676, "aux.loss_seg": 0.18117, "aux.acc_seg": 68.26077, "loss": 0.57362, "time": 0.66774} -{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.34968, "decode.acc_seg": 69.12936, "aux.loss_seg": 0.1601, "aux.acc_seg": 68.17625, "loss": 0.50978, "time": 0.65228} -{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.34922, "decode.acc_seg": 69.44714, "aux.loss_seg": 0.16342, "aux.acc_seg": 68.17035, "loss": 0.51265, "time": 0.67557} -{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.33422, "decode.acc_seg": 69.57442, "aux.loss_seg": 0.15571, "aux.acc_seg": 68.33255, "loss": 0.48993, "time": 0.65354} -{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.33758, "decode.acc_seg": 69.45724, "aux.loss_seg": 0.16022, "aux.acc_seg": 67.90456, "loss": 0.4978, "time": 0.66764} -{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.34867, "decode.acc_seg": 69.48482, "aux.loss_seg": 0.1625, "aux.acc_seg": 68.27382, "loss": 0.51117, "time": 0.65509} -{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.34365, "decode.acc_seg": 69.43877, "aux.loss_seg": 0.16077, "aux.acc_seg": 68.27993, "loss": 0.50442, "time": 0.67099} -{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.33553, "decode.acc_seg": 69.90526, "aux.loss_seg": 0.15564, "aux.acc_seg": 68.7838, "loss": 0.49117, "time": 0.67101} -{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.34819, "decode.acc_seg": 69.35311, "aux.loss_seg": 0.16445, "aux.acc_seg": 67.80752, "loss": 0.51264, "time": 0.66054} -{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.3562, "decode.acc_seg": 68.73287, "aux.loss_seg": 0.16445, "aux.acc_seg": 67.68038, "loss": 0.52064, "time": 0.66256} -{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.3427, "decode.acc_seg": 70.52169, "aux.loss_seg": 0.15915, "aux.acc_seg": 69.41592, "loss": 0.50185, "time": 0.65316} -{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.35164, "decode.acc_seg": 70.27977, "aux.loss_seg": 0.16201, "aux.acc_seg": 69.23601, "loss": 0.51365, "time": 0.66326} -{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.33991, "decode.acc_seg": 70.27492, "aux.loss_seg": 0.15765, "aux.acc_seg": 69.17346, "loss": 0.49756, "time": 0.67593} -{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.34154, "decode.acc_seg": 69.41404, "aux.loss_seg": 0.1596, "aux.acc_seg": 68.09235, "loss": 0.50114, "time": 0.66247} -{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.35909, "decode.acc_seg": 69.68682, "aux.loss_seg": 0.16522, "aux.acc_seg": 68.40392, "loss": 0.5243, "time": 0.67571} -{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.36658, "decode.acc_seg": 68.84667, "aux.loss_seg": 0.16966, "aux.acc_seg": 67.56315, "loss": 0.53623, "time": 0.66943} -{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.33449, "decode.acc_seg": 71.48036, "aux.loss_seg": 0.15433, "aux.acc_seg": 70.39097, "loss": 0.48882, "time": 0.66548} -{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.3389, "decode.acc_seg": 70.03346, "aux.loss_seg": 0.15842, "aux.acc_seg": 68.679, "loss": 0.49732, "time": 0.67828} -{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 22752, "data_time": 0.23025, "decode.loss_seg": 0.36012, "decode.acc_seg": 69.77011, "aux.loss_seg": 0.17021, "aux.acc_seg": 68.36117, "loss": 0.53033, "time": 0.8885} -{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.34114, "decode.acc_seg": 69.30177, "aux.loss_seg": 0.15553, "aux.acc_seg": 68.35475, "loss": 0.49667, "time": 0.6777} -{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.34059, "decode.acc_seg": 71.34091, "aux.loss_seg": 0.16165, "aux.acc_seg": 69.78308, "loss": 0.50225, "time": 0.66517} -{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.31017, "decode.acc_seg": 69.99527, "aux.loss_seg": 0.14908, "aux.acc_seg": 68.6754, "loss": 0.45925, "time": 0.66646} -{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.33422, "decode.acc_seg": 71.08093, "aux.loss_seg": 0.15709, "aux.acc_seg": 69.76953, "loss": 0.4913, "time": 0.67225} -{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.33131, "decode.acc_seg": 70.72089, "aux.loss_seg": 0.15541, "aux.acc_seg": 69.56915, "loss": 0.48672, "time": 0.67131} -{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.36056, "decode.acc_seg": 69.85804, "aux.loss_seg": 0.16664, "aux.acc_seg": 68.54391, "loss": 0.52719, "time": 0.65653} -{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.34628, "decode.acc_seg": 71.00487, "aux.loss_seg": 0.16207, "aux.acc_seg": 69.73949, "loss": 0.50835, "time": 0.67541} -{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4418, "mAcc": 0.5724, "aAcc": 0.8025, "IoU.wall": 0.7388, "IoU.building": 0.781, "IoU.sky": 0.9369, "IoU.floor": 0.7893, "IoU.tree": 0.7344, "IoU.ceiling": 0.8213, "IoU.road": 0.7557, "IoU.bed ": 0.831, "IoU.windowpane": 0.5805, "IoU.grass": 0.6618, "IoU.cabinet": 0.5522, "IoU.sidewalk": 0.5706, "IoU.person": 0.7583, "IoU.earth": 0.3663, "IoU.door": 0.4598, "IoU.table": 0.5427, "IoU.mountain": 0.6053, "IoU.plant": 0.4791, "IoU.curtain": 0.6701, "IoU.chair": 0.4876, "IoU.car": 0.8087, "IoU.water": 0.4924, "IoU.painting": 0.6522, "IoU.sofa": 0.5773, "IoU.shelf": 0.4257, "IoU.house": 0.3985, "IoU.sea": 0.4607, "IoU.mirror": 0.582, "IoU.rug": 0.6321, "IoU.field": 0.2595, "IoU.armchair": 0.3674, "IoU.seat": 0.5949, "IoU.fence": 0.4188, "IoU.desk": 0.4254, "IoU.rock": 0.4902, "IoU.wardrobe": 0.4816, "IoU.lamp": 0.5437, "IoU.bathtub": 0.6935, "IoU.railing": 0.3498, "IoU.cushion": 0.4588, "IoU.base": 0.277, "IoU.box": 0.2191, "IoU.column": 0.4466, "IoU.signboard": 0.3468, "IoU.chest of drawers": 0.3272, "IoU.counter": 0.1564, "IoU.sand": 0.4096, "IoU.sink": 0.6355, "IoU.skyscraper": 0.6316, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6215, "IoU.grandstand": 0.4209, "IoU.path": 0.2678, "IoU.stairs": 0.2469, "IoU.runway": 0.54, "IoU.case": 0.4751, "IoU.pool table": 0.8977, "IoU.pillow": 0.5139, "IoU.screen door": 0.6667, "IoU.stairway": 0.3909, "IoU.river": 0.1858, "IoU.bridge": 0.5065, "IoU.bookcase": 0.419, "IoU.blind": NaN, "IoU.coffee table": 0.5076, "IoU.toilet": 0.7543, "IoU.flower": 0.368, "IoU.book": 0.4326, "IoU.hill": 0.1438, "IoU.bench": 0.4243, "IoU.countertop": 0.5057, "IoU.stove": 0.6335, "IoU.palm": 0.4792, "IoU.kitchen island": 0.3015, "IoU.computer": 0.5513, "IoU.swivel chair": 0.3863, "IoU.boat": 0.4957, "IoU.bar": 0.4135, "IoU.arcade machine": 0.8329, "IoU.hovel": 0.3578, "IoU.bus": 0.7757, "IoU.towel": 0.5723, "IoU.light": 0.4549, "IoU.truck": 0.2022, "IoU.tower": 0.2407, "IoU.chandelier": 0.6378, "IoU.awning": 0.2398, "IoU.streetlight": 0.1766, "IoU.booth": 0.4801, "IoU.television receiver": NaN, "IoU.airplane": 0.5578, "IoU.dirt track": 0.0607, "IoU.apparel": 0.2604, "IoU.pole": 0.1302, "IoU.land": 0.016, "IoU.bannister": 0.1054, "IoU.escalator": 0.2785, "IoU.ottoman": 0.278, "IoU.bottle": NaN, "IoU.buffet": 0.5082, "IoU.poster": 0.2503, "IoU.stage": 0.1798, "IoU.van": 0.3132, "IoU.ship": 0.6234, "IoU.fountain": 0.1866, "IoU.conveyer belt": 0.5392, "IoU.canopy": 0.1982, "IoU.washer": 0.7157, "IoU.plaything": 0.2055, "IoU.swimming pool": 0.7646, "IoU.stool": 0.283, "IoU.barrel": 0.4868, "IoU.basket": 0.2955, "IoU.waterfall": 0.5419, "IoU.tent": 0.6409, "IoU.bag": 0.0585, "IoU.minibike": 0.7372, "IoU.cradle": NaN, "IoU.oven": 0.1319, "IoU.ball": 0.3883, "IoU.food": 0.4607, "IoU.step": 0.0459, "IoU.tank": 0.4995, "IoU.trade name": 0.2375, "IoU.microwave": 0.7392, "IoU.pot": 0.4531, "IoU.animal": NaN, "IoU.bicycle": 0.5237, "IoU.lake": 0.0, "IoU.dishwasher": 0.5116, "IoU.screen": 0.6101, "IoU.blanket": 0.0971, "IoU.sculpture": 0.4983, "IoU.hood": 0.4909, "IoU.sconce": 0.2669, "IoU.vase": 0.2789, "IoU.traffic light": 0.2615, "IoU.tray": 0.0477, "IoU.ashcan": 0.3165, "IoU.fan": 0.4907, "IoU.pier": 0.3199, "IoU.crt screen": 0.0689, "IoU.plate": 0.506, "IoU.monitor": 0.3338, "IoU.bulletin board": 0.4119, "IoU.shower": 0.0077, "IoU.radiator": 0.495, "IoU.glass": 0.0931, "IoU.clock": 0.3124, "IoU.flag": 0.2984, "Acc.wall": 0.8483, "Acc.building": 0.8716, "Acc.sky": 0.9748, "Acc.floor": 0.8956, "Acc.tree": 0.8618, "Acc.ceiling": 0.9181, "Acc.road": 0.7963, "Acc.bed ": 0.9252, "Acc.windowpane": 0.7094, "Acc.grass": 0.8136, "Acc.cabinet": 0.7017, "Acc.sidewalk": 0.8609, "Acc.person": 0.8881, "Acc.earth": 0.5199, "Acc.door": 0.5795, "Acc.table": 0.7193, "Acc.mountain": 0.7486, "Acc.plant": 0.5657, "Acc.curtain": 0.8134, "Acc.chair": 0.6585, "Acc.car": 0.9196, "Acc.water": 0.6644, "Acc.painting": 0.8245, "Acc.sofa": 0.7483, "Acc.shelf": 0.5965, "Acc.house": 0.8867, "Acc.sea": 0.6804, "Acc.mirror": 0.6865, "Acc.rug": 0.7098, "Acc.field": 0.4931, "Acc.armchair": 0.5816, "Acc.seat": 0.7943, "Acc.fence": 0.5193, "Acc.desk": 0.6637, "Acc.rock": 0.7763, "Acc.wardrobe": 0.6255, "Acc.lamp": 0.6621, "Acc.bathtub": 0.8059, "Acc.railing": 0.5305, "Acc.cushion": 0.5659, "Acc.base": 0.5867, "Acc.box": 0.2737, "Acc.column": 0.63, "Acc.signboard": 0.4523, "Acc.chest of drawers": 0.5324, "Acc.counter": 0.1734, "Acc.sand": 0.576, "Acc.sink": 0.7472, "Acc.skyscraper": 0.83, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7336, "Acc.grandstand": 0.7252, "Acc.path": 0.481, "Acc.stairs": 0.3076, "Acc.runway": 0.6884, "Acc.case": 0.5822, "Acc.pool table": 0.9541, "Acc.pillow": 0.6572, "Acc.screen door": 0.8194, "Acc.stairway": 0.5273, "Acc.river": 0.3928, "Acc.bridge": 0.6867, "Acc.bookcase": 0.5719, "Acc.blind": NaN, "Acc.coffee table": 0.7692, "Acc.toilet": 0.8617, "Acc.flower": 0.5833, "Acc.book": 0.553, "Acc.hill": 0.2752, "Acc.bench": 0.5192, "Acc.countertop": 0.6605, "Acc.stove": 0.7363, "Acc.palm": 0.6672, "Acc.kitchen island": 0.594, "Acc.computer": 0.6843, "Acc.swivel chair": 0.5854, "Acc.boat": 0.6892, "Acc.bar": 0.5858, "Acc.arcade machine": 0.9209, "Acc.hovel": 0.469, "Acc.bus": 0.8826, "Acc.towel": 0.7514, "Acc.light": 0.5081, "Acc.truck": 0.3041, "Acc.tower": 0.5058, "Acc.chandelier": 0.8057, "Acc.awning": 0.2562, "Acc.streetlight": 0.2303, "Acc.booth": 0.6244, "Acc.television receiver": NaN, "Acc.airplane": 0.6724, "Acc.dirt track": 0.2266, "Acc.apparel": 0.3935, "Acc.pole": 0.1852, "Acc.land": 0.0203, "Acc.bannister": 0.1564, "Acc.escalator": 0.3457, "Acc.ottoman": 0.3765, "Acc.bottle": NaN, "Acc.buffet": 0.6134, "Acc.poster": 0.2683, "Acc.stage": 0.299, "Acc.van": 0.3986, "Acc.ship": 0.9054, "Acc.fountain": 0.2034, "Acc.conveyer belt": 0.7613, "Acc.canopy": 0.2713, "Acc.washer": 0.7554, "Acc.plaything": 0.2675, "Acc.swimming pool": 0.8583, "Acc.stool": 0.3809, "Acc.barrel": 0.645, "Acc.basket": 0.3549, "Acc.waterfall": 0.6413, "Acc.tent": 0.9775, "Acc.bag": 0.0759, "Acc.minibike": 0.8653, "Acc.cradle": NaN, "Acc.oven": 0.1685, "Acc.ball": 0.429, "Acc.food": 0.5088, "Acc.step": 0.0503, "Acc.tank": 0.6544, "Acc.trade name": 0.2595, "Acc.microwave": 0.8481, "Acc.pot": 0.5015, "Acc.animal": NaN, "Acc.bicycle": 0.7522, "Acc.lake": 0.0, "Acc.dishwasher": 0.6603, "Acc.screen": 0.8256, "Acc.blanket": 0.1101, "Acc.sculpture": 0.6835, "Acc.hood": 0.6098, "Acc.sconce": 0.3001, "Acc.vase": 0.4593, "Acc.traffic light": 0.4283, "Acc.tray": 0.062, "Acc.ashcan": 0.3659, "Acc.fan": 0.6027, "Acc.pier": 0.3745, "Acc.crt screen": 0.1575, "Acc.plate": 0.6339, "Acc.monitor": 0.599, "Acc.bulletin board": 0.6356, "Acc.shower": 0.0082, "Acc.radiator": 0.6671, "Acc.glass": 0.0999, "Acc.clock": 0.3753, "Acc.flag": 0.3246} -{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 22752, "data_time": 1.63788, "decode.loss_seg": 0.33861, "decode.acc_seg": 69.3024, "aux.loss_seg": 0.15872, "aux.acc_seg": 67.82259, "loss": 0.49733, "time": 2.29453} -{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.36604, "decode.acc_seg": 71.58779, "aux.loss_seg": 0.16646, "aux.acc_seg": 70.58066, "loss": 0.5325, "time": 0.66575} -{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.35253, "decode.acc_seg": 67.69191, "aux.loss_seg": 0.16521, "aux.acc_seg": 66.29973, "loss": 0.51774, "time": 0.64644} -{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.34152, "decode.acc_seg": 70.36325, "aux.loss_seg": 0.1583, "aux.acc_seg": 69.10381, "loss": 0.49982, "time": 0.67741} -{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.35533, "decode.acc_seg": 69.54844, "aux.loss_seg": 0.16261, "aux.acc_seg": 68.51111, "loss": 0.51793, "time": 0.66845} -{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.36686, "decode.acc_seg": 68.65552, "aux.loss_seg": 0.16627, "aux.acc_seg": 67.62253, "loss": 0.53313, "time": 0.66994} -{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.33753, "decode.acc_seg": 69.5601, "aux.loss_seg": 0.1576, "aux.acc_seg": 68.31, "loss": 0.49514, "time": 0.62876} -{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.34631, "decode.acc_seg": 69.90119, "aux.loss_seg": 0.16121, "aux.acc_seg": 68.67389, "loss": 0.50752, "time": 0.65623} -{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.34094, "decode.acc_seg": 70.66729, "aux.loss_seg": 0.15949, "aux.acc_seg": 69.36353, "loss": 0.50043, "time": 0.65806} -{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.35812, "decode.acc_seg": 69.54929, "aux.loss_seg": 0.16149, "aux.acc_seg": 68.65645, "loss": 0.51961, "time": 0.67036} -{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.34305, "decode.acc_seg": 69.85165, "aux.loss_seg": 0.16057, "aux.acc_seg": 68.631, "loss": 0.50362, "time": 0.665} -{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.34178, "decode.acc_seg": 69.04118, "aux.loss_seg": 0.15926, "aux.acc_seg": 67.92413, "loss": 0.50103, "time": 0.65813} -{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.34693, "decode.acc_seg": 70.73454, "aux.loss_seg": 0.16276, "aux.acc_seg": 69.46818, "loss": 0.50969, "time": 0.66978} -{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.37041, "decode.acc_seg": 69.56967, "aux.loss_seg": 0.1733, "aux.acc_seg": 68.22973, "loss": 0.5437, "time": 0.66413} -{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.33824, "decode.acc_seg": 69.55001, "aux.loss_seg": 0.15855, "aux.acc_seg": 68.31453, "loss": 0.49679, "time": 0.66141} -{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.37517, "decode.acc_seg": 69.90381, "aux.loss_seg": 0.17194, "aux.acc_seg": 68.73058, "loss": 0.54711, "time": 0.64982} -{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 22752, "data_time": 0.22524, "decode.loss_seg": 0.34185, "decode.acc_seg": 68.54166, "aux.loss_seg": 0.15881, "aux.acc_seg": 67.43686, "loss": 0.50066, "time": 0.88089} -{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.32321, "decode.acc_seg": 72.00456, "aux.loss_seg": 0.15585, "aux.acc_seg": 70.55929, "loss": 0.47906, "time": 0.6699} -{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.34718, "decode.acc_seg": 70.67254, "aux.loss_seg": 0.16247, "aux.acc_seg": 69.34174, "loss": 0.50965, "time": 0.64542} -{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.34144, "decode.acc_seg": 70.91247, "aux.loss_seg": 0.16019, "aux.acc_seg": 69.50476, "loss": 0.50163, "time": 0.67938} -{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.3546, "decode.acc_seg": 70.71391, "aux.loss_seg": 0.16435, "aux.acc_seg": 69.46711, "loss": 0.51895, "time": 0.65113} -{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.34291, "decode.acc_seg": 68.97046, "aux.loss_seg": 0.15968, "aux.acc_seg": 67.818, "loss": 0.50259, "time": 0.67785} -{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.32017, "decode.acc_seg": 70.39114, "aux.loss_seg": 0.15035, "aux.acc_seg": 69.11992, "loss": 0.47053, "time": 0.65654} -{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.3213, "decode.acc_seg": 70.16075, "aux.loss_seg": 0.15093, "aux.acc_seg": 69.02093, "loss": 0.47224, "time": 0.63768} -{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.35069, "decode.acc_seg": 70.09007, "aux.loss_seg": 0.16269, "aux.acc_seg": 68.80162, "loss": 0.51338, "time": 0.66634} -{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.32737, "decode.acc_seg": 69.41908, "aux.loss_seg": 0.15738, "aux.acc_seg": 67.83451, "loss": 0.48475, "time": 0.66251} -{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.3512, "decode.acc_seg": 69.65576, "aux.loss_seg": 0.1628, "aux.acc_seg": 68.41976, "loss": 0.514, "time": 0.67039} -{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.35077, "decode.acc_seg": 68.75472, "aux.loss_seg": 0.16555, "aux.acc_seg": 67.3009, "loss": 0.51632, "time": 0.64355} -{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.33458, "decode.acc_seg": 70.65592, "aux.loss_seg": 0.15408, "aux.acc_seg": 69.44039, "loss": 0.48866, "time": 0.6635} -{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.35208, "decode.acc_seg": 69.58819, "aux.loss_seg": 0.1655, "aux.acc_seg": 68.37032, "loss": 0.51758, "time": 0.66246} -{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.33664, "decode.acc_seg": 69.37965, "aux.loss_seg": 0.15746, "aux.acc_seg": 68.10254, "loss": 0.4941, "time": 0.66711} -{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.33008, "decode.acc_seg": 70.54495, "aux.loss_seg": 0.15591, "aux.acc_seg": 69.3655, "loss": 0.48599, "time": 0.65018} -{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.338, "decode.acc_seg": 67.78492, "aux.loss_seg": 0.158, "aux.acc_seg": 66.48195, "loss": 0.496, "time": 0.66334} -{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.3566, "decode.acc_seg": 69.96298, "aux.loss_seg": 0.16825, "aux.acc_seg": 68.41619, "loss": 0.52485, "time": 0.65043} -{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.34504, "decode.acc_seg": 67.61688, "aux.loss_seg": 0.16116, "aux.acc_seg": 66.51238, "loss": 0.5062, "time": 0.67524} -{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.34898, "decode.acc_seg": 69.19051, "aux.loss_seg": 0.1593, "aux.acc_seg": 68.06402, "loss": 0.50828, "time": 0.65547} -{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.32647, "decode.acc_seg": 70.50171, "aux.loss_seg": 0.15472, "aux.acc_seg": 69.14465, "loss": 0.48119, "time": 0.65919} -{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.34006, "decode.acc_seg": 69.89448, "aux.loss_seg": 0.15887, "aux.acc_seg": 68.5126, "loss": 0.49893, "time": 0.66353} -{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.30752, "decode.acc_seg": 71.93989, "aux.loss_seg": 0.14373, "aux.acc_seg": 70.85202, "loss": 0.45125, "time": 0.63734} -{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.328, "decode.acc_seg": 70.54543, "aux.loss_seg": 0.15407, "aux.acc_seg": 69.28981, "loss": 0.48206, "time": 0.64182} -{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.3343, "decode.acc_seg": 70.11479, "aux.loss_seg": 0.15618, "aux.acc_seg": 68.9982, "loss": 0.49048, "time": 0.63676} -{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.33309, "decode.acc_seg": 70.12631, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.14378, "loss": 0.48678, "time": 0.6614} -{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 22752, "data_time": 0.22712, "decode.loss_seg": 0.33727, "decode.acc_seg": 69.24726, "aux.loss_seg": 0.15837, "aux.acc_seg": 67.9549, "loss": 0.49564, "time": 0.87764} -{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.32554, "decode.acc_seg": 68.10058, "aux.loss_seg": 0.15515, "aux.acc_seg": 66.69504, "loss": 0.4807, "time": 0.64295} -{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.34124, "decode.acc_seg": 71.54499, "aux.loss_seg": 0.16164, "aux.acc_seg": 70.27735, "loss": 0.50289, "time": 0.67448} -{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.33514, "decode.acc_seg": 71.53119, "aux.loss_seg": 0.15734, "aux.acc_seg": 70.21784, "loss": 0.49248, "time": 0.65761} -{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.3368, "decode.acc_seg": 69.18939, "aux.loss_seg": 0.15738, "aux.acc_seg": 67.85385, "loss": 0.49419, "time": 0.65254} -{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.34107, "decode.acc_seg": 69.62189, "aux.loss_seg": 0.15803, "aux.acc_seg": 68.65948, "loss": 0.4991, "time": 0.673} -{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.31189, "decode.acc_seg": 70.31163, "aux.loss_seg": 0.14703, "aux.acc_seg": 69.07246, "loss": 0.45892, "time": 0.65745} -{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.34358, "decode.acc_seg": 69.70529, "aux.loss_seg": 0.15679, "aux.acc_seg": 68.51691, "loss": 0.50038, "time": 0.66401} -{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 22752, "data_time": 0.00778, "decode.loss_seg": 0.33064, "decode.acc_seg": 70.92383, "aux.loss_seg": 0.15667, "aux.acc_seg": 69.45204, "loss": 0.48731, "time": 0.65779} -{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.32606, "decode.acc_seg": 69.49104, "aux.loss_seg": 0.1567, "aux.acc_seg": 68.2227, "loss": 0.48276, "time": 0.63982} -{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.33734, "decode.acc_seg": 70.58467, "aux.loss_seg": 0.15576, "aux.acc_seg": 69.36994, "loss": 0.49311, "time": 0.62942} -{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.33346, "decode.acc_seg": 72.09692, "aux.loss_seg": 0.15522, "aux.acc_seg": 71.02221, "loss": 0.48868, "time": 0.65428} -{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.32734, "decode.acc_seg": 70.74442, "aux.loss_seg": 0.15111, "aux.acc_seg": 69.5468, "loss": 0.47845, "time": 0.64378} -{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.32239, "decode.acc_seg": 69.33322, "aux.loss_seg": 0.15316, "aux.acc_seg": 67.82342, "loss": 0.47555, "time": 0.65795} -{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.31895, "decode.acc_seg": 71.07614, "aux.loss_seg": 0.1501, "aux.acc_seg": 69.87193, "loss": 0.46905, "time": 0.64711} -{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.35713, "decode.acc_seg": 68.52139, "aux.loss_seg": 0.16356, "aux.acc_seg": 67.363, "loss": 0.52069, "time": 0.67715} -{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.33167, "decode.acc_seg": 69.9305, "aux.loss_seg": 0.15565, "aux.acc_seg": 68.62308, "loss": 0.48732, "time": 0.66976} -{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.35287, "decode.acc_seg": 70.44462, "aux.loss_seg": 0.1659, "aux.acc_seg": 69.07302, "loss": 0.51877, "time": 0.65814} -{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 22752, "data_time": 0.00779, "decode.loss_seg": 0.34973, "decode.acc_seg": 70.01793, "aux.loss_seg": 0.16372, "aux.acc_seg": 68.636, "loss": 0.51346, "time": 0.66361} -{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.35451, "decode.acc_seg": 69.45478, "aux.loss_seg": 0.1655, "aux.acc_seg": 68.13093, "loss": 0.52001, "time": 0.6567} -{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.33351, "decode.acc_seg": 70.6573, "aux.loss_seg": 0.15733, "aux.acc_seg": 69.30447, "loss": 0.49084, "time": 0.66381} -{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 22752, "data_time": 0.00859, "decode.loss_seg": 0.31113, "decode.acc_seg": 70.73504, "aux.loss_seg": 0.14891, "aux.acc_seg": 69.36481, "loss": 0.46004, "time": 0.65882} -{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 22752, "data_time": 0.00791, "decode.loss_seg": 0.35482, "decode.acc_seg": 71.18589, "aux.loss_seg": 0.16599, "aux.acc_seg": 69.66957, "loss": 0.52081, "time": 0.64673} -{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.31013, "decode.acc_seg": 70.47417, "aux.loss_seg": 0.14633, "aux.acc_seg": 69.20852, "loss": 0.45646, "time": 0.63962} -{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.3322, "decode.acc_seg": 71.16891, "aux.loss_seg": 0.15687, "aux.acc_seg": 69.72856, "loss": 0.48907, "time": 0.67683} -{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 22752, "data_time": 0.22825, "decode.loss_seg": 0.33738, "decode.acc_seg": 69.76828, "aux.loss_seg": 0.15581, "aux.acc_seg": 68.66437, "loss": 0.49319, "time": 0.86992} -{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.32244, "decode.acc_seg": 69.60069, "aux.loss_seg": 0.1522, "aux.acc_seg": 68.3037, "loss": 0.47464, "time": 0.6638} -{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.31691, "decode.acc_seg": 70.68588, "aux.loss_seg": 0.15228, "aux.acc_seg": 69.27434, "loss": 0.46919, "time": 0.6488} -{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.30165, "decode.acc_seg": 70.23923, "aux.loss_seg": 0.14368, "aux.acc_seg": 68.89577, "loss": 0.44533, "time": 0.66203} -{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.32866, "decode.acc_seg": 71.36389, "aux.loss_seg": 0.15514, "aux.acc_seg": 70.04676, "loss": 0.48379, "time": 0.66652} -{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.31558, "decode.acc_seg": 70.43404, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.21701, "loss": 0.46298, "time": 0.66219} -{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.33978, "decode.acc_seg": 68.84971, "aux.loss_seg": 0.15583, "aux.acc_seg": 67.79472, "loss": 0.49561, "time": 0.65363} -{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.34038, "decode.acc_seg": 71.25052, "aux.loss_seg": 0.16056, "aux.acc_seg": 69.86298, "loss": 0.50094, "time": 0.63998} -{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.33038, "decode.acc_seg": 69.41703, "aux.loss_seg": 0.15424, "aux.acc_seg": 68.26755, "loss": 0.48462, "time": 0.66153} -{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.34831, "decode.acc_seg": 70.47741, "aux.loss_seg": 0.16313, "aux.acc_seg": 69.23135, "loss": 0.51144, "time": 0.67079} -{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.34571, "decode.acc_seg": 70.66029, "aux.loss_seg": 0.15816, "aux.acc_seg": 69.50247, "loss": 0.50387, "time": 0.67622} -{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.32612, "decode.acc_seg": 71.77344, "aux.loss_seg": 0.15476, "aux.acc_seg": 70.39631, "loss": 0.48089, "time": 0.65869} -{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.34986, "decode.acc_seg": 70.29956, "aux.loss_seg": 0.16447, "aux.acc_seg": 69.01174, "loss": 0.51433, "time": 0.6661} -{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.3518, "decode.acc_seg": 68.29378, "aux.loss_seg": 0.16134, "aux.acc_seg": 67.21076, "loss": 0.51314, "time": 0.65534} -{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.33843, "decode.acc_seg": 72.12296, "aux.loss_seg": 0.15918, "aux.acc_seg": 70.82643, "loss": 0.49761, "time": 0.67078} -{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.32453, "decode.acc_seg": 70.59533, "aux.loss_seg": 0.15551, "aux.acc_seg": 69.13567, "loss": 0.48004, "time": 0.6576} -{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.3287, "decode.acc_seg": 69.83374, "aux.loss_seg": 0.15436, "aux.acc_seg": 68.62653, "loss": 0.48306, "time": 0.67197} -{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.30919, "decode.acc_seg": 70.55925, "aux.loss_seg": 0.14616, "aux.acc_seg": 69.36271, "loss": 0.45534, "time": 0.6561} -{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.32839, "decode.acc_seg": 69.85563, "aux.loss_seg": 0.15496, "aux.acc_seg": 68.58345, "loss": 0.48335, "time": 0.65803} -{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.3336, "decode.acc_seg": 69.60407, "aux.loss_seg": 0.15794, "aux.acc_seg": 68.20774, "loss": 0.49154, "time": 0.66948} -{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.33806, "decode.acc_seg": 69.56354, "aux.loss_seg": 0.15602, "aux.acc_seg": 68.36907, "loss": 0.49408, "time": 0.68307} -{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.31728, "decode.acc_seg": 71.12039, "aux.loss_seg": 0.14925, "aux.acc_seg": 70.02478, "loss": 0.46653, "time": 0.64884} -{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.33089, "decode.acc_seg": 71.28006, "aux.loss_seg": 0.15701, "aux.acc_seg": 69.90685, "loss": 0.4879, "time": 0.64459} -{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.33045, "decode.acc_seg": 69.88818, "aux.loss_seg": 0.15475, "aux.acc_seg": 68.63487, "loss": 0.4852, "time": 0.66197} -{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.30938, "decode.acc_seg": 70.58251, "aux.loss_seg": 0.14265, "aux.acc_seg": 69.53148, "loss": 0.45203, "time": 0.66842} -{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 22752, "data_time": 0.22976, "decode.loss_seg": 0.32901, "decode.acc_seg": 71.88011, "aux.loss_seg": 0.15674, "aux.acc_seg": 70.4564, "loss": 0.48575, "time": 0.88816} -{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.30615, "decode.acc_seg": 71.79567, "aux.loss_seg": 0.14773, "aux.acc_seg": 70.42661, "loss": 0.45388, "time": 0.66586} -{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.31257, "decode.acc_seg": 70.98306, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.69492, "loss": 0.46198, "time": 0.65915} -{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.3183, "decode.acc_seg": 71.43892, "aux.loss_seg": 0.14806, "aux.acc_seg": 70.29713, "loss": 0.46636, "time": 0.6743} -{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.32155, "decode.acc_seg": 72.04622, "aux.loss_seg": 0.15416, "aux.acc_seg": 70.73372, "loss": 0.47571, "time": 0.64525} -{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.30947, "decode.acc_seg": 71.65428, "aux.loss_seg": 0.14759, "aux.acc_seg": 70.35175, "loss": 0.45706, "time": 0.65821} -{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.31441, "decode.acc_seg": 69.36879, "aux.loss_seg": 0.149, "aux.acc_seg": 68.2469, "loss": 0.46341, "time": 0.64569} -{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.30458, "decode.acc_seg": 70.34091, "aux.loss_seg": 0.14516, "aux.acc_seg": 69.02863, "loss": 0.44974, "time": 0.66641} -{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.32033, "decode.acc_seg": 69.84387, "aux.loss_seg": 0.14944, "aux.acc_seg": 68.80703, "loss": 0.46977, "time": 0.65661} -{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.3003, "decode.acc_seg": 70.91316, "aux.loss_seg": 0.14488, "aux.acc_seg": 69.51845, "loss": 0.44517, "time": 0.63759} -{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.30913, "decode.acc_seg": 71.88588, "aux.loss_seg": 0.14412, "aux.acc_seg": 70.63624, "loss": 0.45325, "time": 0.65509} -{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.32766, "decode.acc_seg": 69.76159, "aux.loss_seg": 0.15214, "aux.acc_seg": 68.66506, "loss": 0.4798, "time": 0.66738} -{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.3427, "decode.acc_seg": 69.14353, "aux.loss_seg": 0.15891, "aux.acc_seg": 67.88892, "loss": 0.50161, "time": 0.66501} -{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.32318, "decode.acc_seg": 71.14982, "aux.loss_seg": 0.15171, "aux.acc_seg": 69.83888, "loss": 0.47489, "time": 0.65459} -{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.33111, "decode.acc_seg": 70.62264, "aux.loss_seg": 0.15677, "aux.acc_seg": 69.26794, "loss": 0.48788, "time": 0.67345} -{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.31619, "decode.acc_seg": 70.53746, "aux.loss_seg": 0.14607, "aux.acc_seg": 69.48599, "loss": 0.46226, "time": 0.6627} -{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.34031, "decode.acc_seg": 70.70363, "aux.loss_seg": 0.15768, "aux.acc_seg": 69.65408, "loss": 0.49799, "time": 0.64246} -{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.34695, "decode.acc_seg": 71.3181, "aux.loss_seg": 0.16187, "aux.acc_seg": 69.95374, "loss": 0.50882, "time": 0.66981} -{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.32194, "decode.acc_seg": 71.16099, "aux.loss_seg": 0.15152, "aux.acc_seg": 69.80497, "loss": 0.47346, "time": 0.65839} -{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.31844, "decode.acc_seg": 70.31476, "aux.loss_seg": 0.1494, "aux.acc_seg": 69.05268, "loss": 0.46784, "time": 0.64945} -{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.36076, "decode.acc_seg": 68.4122, "aux.loss_seg": 0.16616, "aux.acc_seg": 67.03539, "loss": 0.52692, "time": 0.67207} -{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.31683, "decode.acc_seg": 70.31375, "aux.loss_seg": 0.1514, "aux.acc_seg": 68.64039, "loss": 0.46823, "time": 0.66423} -{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.31937, "decode.acc_seg": 68.98185, "aux.loss_seg": 0.14852, "aux.acc_seg": 67.89492, "loss": 0.46789, "time": 0.6668} -{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.33936, "decode.acc_seg": 72.20012, "aux.loss_seg": 0.15873, "aux.acc_seg": 70.81385, "loss": 0.4981, "time": 0.65481} -{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.33816, "decode.acc_seg": 70.05135, "aux.loss_seg": 0.16013, "aux.acc_seg": 68.73968, "loss": 0.49828, "time": 0.66102} -{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 22752, "data_time": 0.22764, "decode.loss_seg": 0.31085, "decode.acc_seg": 70.55221, "aux.loss_seg": 0.14521, "aux.acc_seg": 69.3405, "loss": 0.45606, "time": 0.8413} -{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.31528, "decode.acc_seg": 69.40465, "aux.loss_seg": 0.14798, "aux.acc_seg": 68.00973, "loss": 0.46326, "time": 0.67975} -{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.30894, "decode.acc_seg": 69.77265, "aux.loss_seg": 0.14723, "aux.acc_seg": 68.49319, "loss": 0.45617, "time": 0.64696} -{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.30064, "decode.acc_seg": 71.25674, "aux.loss_seg": 0.14324, "aux.acc_seg": 70.07799, "loss": 0.44388, "time": 0.65445} -{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.32101, "decode.acc_seg": 71.07717, "aux.loss_seg": 0.15351, "aux.acc_seg": 69.6427, "loss": 0.47452, "time": 0.65196} -{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.33693, "decode.acc_seg": 69.76502, "aux.loss_seg": 0.15817, "aux.acc_seg": 68.42229, "loss": 0.49509, "time": 0.66752} -{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.31812, "decode.acc_seg": 71.32865, "aux.loss_seg": 0.14832, "aux.acc_seg": 70.09695, "loss": 0.46644, "time": 0.66386} -{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.32401, "decode.acc_seg": 71.29535, "aux.loss_seg": 0.15177, "aux.acc_seg": 70.14705, "loss": 0.47578, "time": 0.66966} -{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.29286, "decode.acc_seg": 71.3271, "aux.loss_seg": 0.13938, "aux.acc_seg": 70.10621, "loss": 0.43224, "time": 0.66559} -{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.30507, "decode.acc_seg": 72.54911, "aux.loss_seg": 0.14805, "aux.acc_seg": 71.06536, "loss": 0.45311, "time": 0.67636} -{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.30319, "decode.acc_seg": 70.97566, "aux.loss_seg": 0.143, "aux.acc_seg": 69.72962, "loss": 0.44618, "time": 0.657} -{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.30144, "decode.acc_seg": 71.90395, "aux.loss_seg": 0.14426, "aux.acc_seg": 70.45761, "loss": 0.4457, "time": 0.66662} -{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.30099, "decode.acc_seg": 71.1706, "aux.loss_seg": 0.14334, "aux.acc_seg": 69.78928, "loss": 0.44433, "time": 0.65313} -{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.30735, "decode.acc_seg": 70.00869, "aux.loss_seg": 0.14625, "aux.acc_seg": 68.73502, "loss": 0.45361, "time": 0.65348} -{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.31181, "decode.acc_seg": 71.17054, "aux.loss_seg": 0.1485, "aux.acc_seg": 69.82282, "loss": 0.46031, "time": 0.66098} -{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 22752, "data_time": 0.00781, "decode.loss_seg": 0.30877, "decode.acc_seg": 71.98315, "aux.loss_seg": 0.14517, "aux.acc_seg": 70.66602, "loss": 0.45394, "time": 0.64416} -{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.32414, "decode.acc_seg": 71.60569, "aux.loss_seg": 0.15339, "aux.acc_seg": 70.25226, "loss": 0.47753, "time": 0.64309} -{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.31994, "decode.acc_seg": 70.67313, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.46661, "loss": 0.47147, "time": 0.68183} -{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.32683, "decode.acc_seg": 70.71561, "aux.loss_seg": 0.15319, "aux.acc_seg": 69.38911, "loss": 0.48001, "time": 0.65721} -{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.2974, "decode.acc_seg": 70.9199, "aux.loss_seg": 0.14185, "aux.acc_seg": 69.58322, "loss": 0.43925, "time": 0.65782} -{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.30517, "decode.acc_seg": 70.27314, "aux.loss_seg": 0.14544, "aux.acc_seg": 68.82131, "loss": 0.45061, "time": 0.65973} -{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.32787, "decode.acc_seg": 71.05213, "aux.loss_seg": 0.15485, "aux.acc_seg": 69.62631, "loss": 0.48272, "time": 0.66004} -{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.32254, "decode.acc_seg": 70.99902, "aux.loss_seg": 0.15245, "aux.acc_seg": 69.66021, "loss": 0.47499, "time": 0.66142} -{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.31212, "decode.acc_seg": 71.76187, "aux.loss_seg": 0.14856, "aux.acc_seg": 70.24147, "loss": 0.46068, "time": 0.66869} -{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.29147, "decode.acc_seg": 70.62368, "aux.loss_seg": 0.13954, "aux.acc_seg": 69.1709, "loss": 0.43101, "time": 0.65866} -{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.31257, "decode.acc_seg": 71.45507, "aux.loss_seg": 0.1471, "aux.acc_seg": 70.14879, "loss": 0.45966, "time": 0.65932} -{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 22752, "data_time": 0.21653, "decode.loss_seg": 0.29187, "decode.acc_seg": 71.81224, "aux.loss_seg": 0.14228, "aux.acc_seg": 70.37607, "loss": 0.43415, "time": 0.8699} -{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.30008, "decode.acc_seg": 69.86644, "aux.loss_seg": 0.14204, "aux.acc_seg": 68.60576, "loss": 0.44212, "time": 0.65689} -{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 22752, "data_time": 0.00779, "decode.loss_seg": 0.30298, "decode.acc_seg": 70.26083, "aux.loss_seg": 0.14212, "aux.acc_seg": 69.06947, "loss": 0.4451, "time": 0.64432} -{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.31022, "decode.acc_seg": 70.89837, "aux.loss_seg": 0.14587, "aux.acc_seg": 69.68106, "loss": 0.45609, "time": 0.6337} -{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 22752, "data_time": 0.0086, "decode.loss_seg": 0.29657, "decode.acc_seg": 71.0607, "aux.loss_seg": 0.14104, "aux.acc_seg": 69.81832, "loss": 0.43761, "time": 0.66291} -{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.296, "decode.acc_seg": 71.4535, "aux.loss_seg": 0.13914, "aux.acc_seg": 70.21589, "loss": 0.43514, "time": 0.64662} -{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.29154, "decode.acc_seg": 71.23757, "aux.loss_seg": 0.14145, "aux.acc_seg": 69.78716, "loss": 0.43299, "time": 0.66632} -{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.29525, "decode.acc_seg": 71.38788, "aux.loss_seg": 0.13948, "aux.acc_seg": 70.27591, "loss": 0.43474, "time": 0.66824} -{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.29242, "decode.acc_seg": 71.98324, "aux.loss_seg": 0.13964, "aux.acc_seg": 70.76941, "loss": 0.43206, "time": 0.65884} -{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.30126, "decode.acc_seg": 70.23054, "aux.loss_seg": 0.14405, "aux.acc_seg": 68.8058, "loss": 0.44532, "time": 0.66178} -{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.30223, "decode.acc_seg": 70.12219, "aux.loss_seg": 0.14492, "aux.acc_seg": 68.80814, "loss": 0.44715, "time": 0.65295} -{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.30294, "decode.acc_seg": 70.98655, "aux.loss_seg": 0.1418, "aux.acc_seg": 69.71342, "loss": 0.44473, "time": 0.64223} -{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.31351, "decode.acc_seg": 70.7037, "aux.loss_seg": 0.14951, "aux.acc_seg": 69.31159, "loss": 0.46302, "time": 0.64445} -{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.31944, "decode.acc_seg": 70.01275, "aux.loss_seg": 0.15301, "aux.acc_seg": 68.47618, "loss": 0.47245, "time": 0.67554} -{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.30736, "decode.acc_seg": 72.1584, "aux.loss_seg": 0.14735, "aux.acc_seg": 70.8798, "loss": 0.45471, "time": 0.65223} -{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.31105, "decode.acc_seg": 71.74316, "aux.loss_seg": 0.14696, "aux.acc_seg": 70.28009, "loss": 0.45801, "time": 0.67202} -{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.31151, "decode.acc_seg": 72.0991, "aux.loss_seg": 0.14552, "aux.acc_seg": 70.82403, "loss": 0.45703, "time": 0.64417} -{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.31833, "decode.acc_seg": 70.00087, "aux.loss_seg": 0.15062, "aux.acc_seg": 68.58066, "loss": 0.46896, "time": 0.66503} -{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.29954, "decode.acc_seg": 71.40429, "aux.loss_seg": 0.14397, "aux.acc_seg": 70.12917, "loss": 0.44351, "time": 0.64811} -{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.31477, "decode.acc_seg": 71.45205, "aux.loss_seg": 0.14789, "aux.acc_seg": 70.23723, "loss": 0.46266, "time": 0.64497} -{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 22752, "data_time": 0.01041, "decode.loss_seg": 0.3103, "decode.acc_seg": 70.85497, "aux.loss_seg": 0.14617, "aux.acc_seg": 69.57658, "loss": 0.45647, "time": 0.6698} -{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.30075, "decode.acc_seg": 70.84272, "aux.loss_seg": 0.14373, "aux.acc_seg": 69.45879, "loss": 0.44449, "time": 0.65964} -{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.30695, "decode.acc_seg": 70.21383, "aux.loss_seg": 0.14428, "aux.acc_seg": 68.98739, "loss": 0.45123, "time": 0.65904} -{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.31769, "decode.acc_seg": 70.7432, "aux.loss_seg": 0.15291, "aux.acc_seg": 69.25381, "loss": 0.4706, "time": 0.66468} -{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.32358, "decode.acc_seg": 69.91849, "aux.loss_seg": 0.15159, "aux.acc_seg": 68.50047, "loss": 0.47518, "time": 0.6501} -{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 22752, "data_time": 0.23559, "decode.loss_seg": 0.3238, "decode.acc_seg": 71.2981, "aux.loss_seg": 0.15377, "aux.acc_seg": 69.90609, "loss": 0.47758, "time": 0.85543} -{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.31438, "decode.acc_seg": 71.52052, "aux.loss_seg": 0.14876, "aux.acc_seg": 70.05158, "loss": 0.46314, "time": 0.65156} -{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.30156, "decode.acc_seg": 72.09094, "aux.loss_seg": 0.1442, "aux.acc_seg": 70.79249, "loss": 0.44576, "time": 0.65068} -{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.29243, "decode.acc_seg": 70.24585, "aux.loss_seg": 0.13971, "aux.acc_seg": 68.8956, "loss": 0.43214, "time": 0.66355} -{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.29863, "decode.acc_seg": 70.51241, "aux.loss_seg": 0.14178, "aux.acc_seg": 69.22546, "loss": 0.44041, "time": 0.6698} -{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 22752, "data_time": 0.01058, "decode.loss_seg": 0.3046, "decode.acc_seg": 71.95541, "aux.loss_seg": 0.14449, "aux.acc_seg": 70.69748, "loss": 0.44909, "time": 0.65151} -{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.32158, "decode.acc_seg": 71.22681, "aux.loss_seg": 0.15223, "aux.acc_seg": 69.88736, "loss": 0.47381, "time": 0.66911} -{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 22752, "data_time": 0.01056, "decode.loss_seg": 0.30989, "decode.acc_seg": 69.49793, "aux.loss_seg": 0.14515, "aux.acc_seg": 68.12095, "loss": 0.45504, "time": 0.66487} -{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.30279, "decode.acc_seg": 71.03379, "aux.loss_seg": 0.14173, "aux.acc_seg": 69.67163, "loss": 0.44452, "time": 0.6686} -{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.32123, "decode.acc_seg": 70.53253, "aux.loss_seg": 0.15183, "aux.acc_seg": 69.06171, "loss": 0.47306, "time": 0.64679} -{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 22752, "data_time": 0.01071, "decode.loss_seg": 0.30094, "decode.acc_seg": 71.09536, "aux.loss_seg": 0.14299, "aux.acc_seg": 69.80198, "loss": 0.44394, "time": 0.65837} -{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.3337, "decode.acc_seg": 70.19142, "aux.loss_seg": 0.15765, "aux.acc_seg": 68.76856, "loss": 0.49135, "time": 0.66187} -{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.32258, "decode.acc_seg": 70.55158, "aux.loss_seg": 0.15004, "aux.acc_seg": 69.36995, "loss": 0.47262, "time": 0.6661} -{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.3094, "decode.acc_seg": 72.13176, "aux.loss_seg": 0.14466, "aux.acc_seg": 70.98841, "loss": 0.45407, "time": 0.67186} -{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.31187, "decode.acc_seg": 70.88551, "aux.loss_seg": 0.14995, "aux.acc_seg": 69.47396, "loss": 0.46182, "time": 0.66521} -{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.28779, "decode.acc_seg": 69.98265, "aux.loss_seg": 0.13819, "aux.acc_seg": 68.55226, "loss": 0.42598, "time": 0.67211} -{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.31285, "decode.acc_seg": 72.0551, "aux.loss_seg": 0.15026, "aux.acc_seg": 70.45971, "loss": 0.46311, "time": 0.65855} -{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 22752, "data_time": 0.01041, "decode.loss_seg": 0.308, "decode.acc_seg": 70.25151, "aux.loss_seg": 0.14898, "aux.acc_seg": 68.81668, "loss": 0.45698, "time": 0.66234} -{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.31506, "decode.acc_seg": 71.57202, "aux.loss_seg": 0.14934, "aux.acc_seg": 70.24734, "loss": 0.4644, "time": 0.67329} -{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.29129, "decode.acc_seg": 71.61365, "aux.loss_seg": 0.13853, "aux.acc_seg": 70.47176, "loss": 0.42982, "time": 0.66465} -{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.30384, "decode.acc_seg": 72.49029, "aux.loss_seg": 0.14334, "aux.acc_seg": 71.32812, "loss": 0.44718, "time": 0.6668} -{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.2938, "decode.acc_seg": 71.00591, "aux.loss_seg": 0.13955, "aux.acc_seg": 69.67576, "loss": 0.43335, "time": 0.65839} -{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.30161, "decode.acc_seg": 69.85551, "aux.loss_seg": 0.14074, "aux.acc_seg": 68.6842, "loss": 0.44235, "time": 0.68202} -{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.29219, "decode.acc_seg": 70.30035, "aux.loss_seg": 0.1368, "aux.acc_seg": 69.14335, "loss": 0.42899, "time": 0.65857} -{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.30753, "decode.acc_seg": 70.4245, "aux.loss_seg": 0.14525, "aux.acc_seg": 69.08474, "loss": 0.45278, "time": 0.66801} -{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 22752, "data_time": 0.22918, "decode.loss_seg": 0.30534, "decode.acc_seg": 70.50826, "aux.loss_seg": 0.14372, "aux.acc_seg": 69.25743, "loss": 0.44906, "time": 0.88346} -{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.29249, "decode.acc_seg": 72.21839, "aux.loss_seg": 0.13888, "aux.acc_seg": 71.00932, "loss": 0.43136, "time": 0.65616} -{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.29432, "decode.acc_seg": 70.04274, "aux.loss_seg": 0.14307, "aux.acc_seg": 68.43109, "loss": 0.43739, "time": 0.66542} -{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.3075, "decode.acc_seg": 70.74189, "aux.loss_seg": 0.14757, "aux.acc_seg": 69.29168, "loss": 0.45508, "time": 0.63758} -{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.28816, "decode.acc_seg": 72.85245, "aux.loss_seg": 0.14028, "aux.acc_seg": 71.30665, "loss": 0.42844, "time": 0.6685} -{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.29044, "decode.acc_seg": 71.58752, "aux.loss_seg": 0.13963, "aux.acc_seg": 70.31819, "loss": 0.43007, "time": 0.67522} -{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.27988, "decode.acc_seg": 72.00339, "aux.loss_seg": 0.13154, "aux.acc_seg": 70.80419, "loss": 0.41142, "time": 0.67322} -{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.30577, "decode.acc_seg": 71.81222, "aux.loss_seg": 0.1466, "aux.acc_seg": 70.41071, "loss": 0.45237, "time": 0.67305} -{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 22752, "data_time": 0.00791, "decode.loss_seg": 0.29016, "decode.acc_seg": 70.77831, "aux.loss_seg": 0.1394, "aux.acc_seg": 69.52943, "loss": 0.42956, "time": 0.66328} -{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.31708, "decode.acc_seg": 72.46598, "aux.loss_seg": 0.15063, "aux.acc_seg": 71.25317, "loss": 0.46771, "time": 0.68022} -{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.30927, "decode.acc_seg": 70.57686, "aux.loss_seg": 0.14811, "aux.acc_seg": 69.35123, "loss": 0.45738, "time": 0.66105} -{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.30402, "decode.acc_seg": 71.14138, "aux.loss_seg": 0.14375, "aux.acc_seg": 69.95061, "loss": 0.44776, "time": 0.67778} -{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.2873, "decode.acc_seg": 70.73886, "aux.loss_seg": 0.13775, "aux.acc_seg": 69.36811, "loss": 0.42504, "time": 0.65609} -{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.30064, "decode.acc_seg": 70.7458, "aux.loss_seg": 0.1403, "aux.acc_seg": 69.59422, "loss": 0.44094, "time": 0.65674} -{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.28787, "decode.acc_seg": 71.79979, "aux.loss_seg": 0.13812, "aux.acc_seg": 70.43179, "loss": 0.42598, "time": 0.65844} -{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.3095, "decode.acc_seg": 69.59506, "aux.loss_seg": 0.14512, "aux.acc_seg": 68.2586, "loss": 0.45462, "time": 0.66107} -{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.30804, "decode.acc_seg": 69.81279, "aux.loss_seg": 0.14297, "aux.acc_seg": 68.69304, "loss": 0.45101, "time": 0.65748} -{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.31375, "decode.acc_seg": 70.58681, "aux.loss_seg": 0.14697, "aux.acc_seg": 69.55177, "loss": 0.46072, "time": 0.66855} -{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.30536, "decode.acc_seg": 71.08974, "aux.loss_seg": 0.14285, "aux.acc_seg": 69.86604, "loss": 0.44821, "time": 0.66729} -{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.31579, "decode.acc_seg": 71.26714, "aux.loss_seg": 0.15198, "aux.acc_seg": 69.70051, "loss": 0.46776, "time": 0.6566} -{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.30147, "decode.acc_seg": 71.04972, "aux.loss_seg": 0.14294, "aux.acc_seg": 69.65883, "loss": 0.44441, "time": 0.67852} -{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.32201, "decode.acc_seg": 70.12433, "aux.loss_seg": 0.15388, "aux.acc_seg": 68.65674, "loss": 0.47589, "time": 0.66706} -{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.29913, "decode.acc_seg": 71.07079, "aux.loss_seg": 0.14347, "aux.acc_seg": 69.66139, "loss": 0.4426, "time": 0.66516} -{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.30774, "decode.acc_seg": 71.58781, "aux.loss_seg": 0.14558, "aux.acc_seg": 70.1984, "loss": 0.45333, "time": 0.68196} -{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.31042, "decode.acc_seg": 71.47098, "aux.loss_seg": 0.14585, "aux.acc_seg": 70.15235, "loss": 0.45627, "time": 0.66524} -{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 22752, "data_time": 0.23017, "decode.loss_seg": 0.29213, "decode.acc_seg": 71.31266, "aux.loss_seg": 0.13972, "aux.acc_seg": 69.9855, "loss": 0.43185, "time": 0.87331} -{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.28279, "decode.acc_seg": 72.9169, "aux.loss_seg": 0.13547, "aux.acc_seg": 71.60695, "loss": 0.41826, "time": 0.66567} -{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 22752, "data_time": 0.00806, "decode.loss_seg": 0.28545, "decode.acc_seg": 71.92067, "aux.loss_seg": 0.13629, "aux.acc_seg": 70.69402, "loss": 0.42174, "time": 0.66194} -{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.29608, "decode.acc_seg": 70.86091, "aux.loss_seg": 0.13992, "aux.acc_seg": 69.68807, "loss": 0.436, "time": 0.65222} -{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.30387, "decode.acc_seg": 72.10037, "aux.loss_seg": 0.14488, "aux.acc_seg": 70.71004, "loss": 0.44876, "time": 0.66658} -{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.2888, "decode.acc_seg": 72.83844, "aux.loss_seg": 0.13618, "aux.acc_seg": 71.67783, "loss": 0.42499, "time": 0.66506} -{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.28355, "decode.acc_seg": 72.46881, "aux.loss_seg": 0.13594, "aux.acc_seg": 71.02733, "loss": 0.41949, "time": 0.67917} -{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.28568, "decode.acc_seg": 70.68562, "aux.loss_seg": 0.13603, "aux.acc_seg": 69.42819, "loss": 0.42172, "time": 0.65738} -{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.2821, "decode.acc_seg": 71.85953, "aux.loss_seg": 0.13489, "aux.acc_seg": 70.4959, "loss": 0.41699, "time": 0.65649} -{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.28659, "decode.acc_seg": 71.87322, "aux.loss_seg": 0.13948, "aux.acc_seg": 70.43832, "loss": 0.42608, "time": 0.66248} -{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.29962, "decode.acc_seg": 71.42682, "aux.loss_seg": 0.14373, "aux.acc_seg": 70.0534, "loss": 0.44335, "time": 0.6653} -{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.28195, "decode.acc_seg": 71.24935, "aux.loss_seg": 0.13767, "aux.acc_seg": 69.72544, "loss": 0.41961, "time": 0.66905} -{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.29853, "decode.acc_seg": 70.61341, "aux.loss_seg": 0.14251, "aux.acc_seg": 69.29901, "loss": 0.44104, "time": 0.66964} -{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.30412, "decode.acc_seg": 71.88417, "aux.loss_seg": 0.14247, "aux.acc_seg": 70.67096, "loss": 0.44659, "time": 0.6641} -{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.30281, "decode.acc_seg": 71.47511, "aux.loss_seg": 0.14331, "aux.acc_seg": 70.21023, "loss": 0.44612, "time": 0.66888} -{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.29122, "decode.acc_seg": 69.98049, "aux.loss_seg": 0.13822, "aux.acc_seg": 68.50415, "loss": 0.42944, "time": 0.66753} -{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.28855, "decode.acc_seg": 71.63466, "aux.loss_seg": 0.13545, "aux.acc_seg": 70.45711, "loss": 0.424, "time": 0.6458} -{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.30263, "decode.acc_seg": 70.98619, "aux.loss_seg": 0.14418, "aux.acc_seg": 69.85333, "loss": 0.44682, "time": 0.67334} -{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.30058, "decode.acc_seg": 71.29859, "aux.loss_seg": 0.14332, "aux.acc_seg": 69.94921, "loss": 0.4439, "time": 0.66594} -{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 22752, "data_time": 0.00861, "decode.loss_seg": 0.29659, "decode.acc_seg": 71.09018, "aux.loss_seg": 0.14272, "aux.acc_seg": 69.65656, "loss": 0.43931, "time": 0.68177} -{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.30707, "decode.acc_seg": 69.92322, "aux.loss_seg": 0.1446, "aux.acc_seg": 68.573, "loss": 0.45167, "time": 0.662} -{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.281, "decode.acc_seg": 69.69444, "aux.loss_seg": 0.13641, "aux.acc_seg": 68.29481, "loss": 0.41741, "time": 0.66176} -{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.29916, "decode.acc_seg": 70.13063, "aux.loss_seg": 0.14278, "aux.acc_seg": 68.71386, "loss": 0.44194, "time": 0.66074} -{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.31448, "decode.acc_seg": 70.1295, "aux.loss_seg": 0.14819, "aux.acc_seg": 68.79037, "loss": 0.46267, "time": 0.66498} -{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.29358, "decode.acc_seg": 70.88133, "aux.loss_seg": 0.13845, "aux.acc_seg": 69.70334, "loss": 0.43202, "time": 0.67279} -{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.28604, "decode.acc_seg": 70.96025, "aux.loss_seg": 0.13516, "aux.acc_seg": 69.7983, "loss": 0.4212, "time": 0.64485} -{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 22752, "data_time": 0.23601, "decode.loss_seg": 0.27711, "decode.acc_seg": 71.96516, "aux.loss_seg": 0.13484, "aux.acc_seg": 70.73652, "loss": 0.41195, "time": 0.87343} -{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.27522, "decode.acc_seg": 71.4643, "aux.loss_seg": 0.13231, "aux.acc_seg": 70.0685, "loss": 0.40754, "time": 0.66269} -{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.29811, "decode.acc_seg": 72.67408, "aux.loss_seg": 0.14206, "aux.acc_seg": 71.34697, "loss": 0.44017, "time": 0.64382} -{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.26873, "decode.acc_seg": 71.18282, "aux.loss_seg": 0.12874, "aux.acc_seg": 69.98404, "loss": 0.39747, "time": 0.67068} -{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.28863, "decode.acc_seg": 70.86478, "aux.loss_seg": 0.13932, "aux.acc_seg": 69.43938, "loss": 0.42796, "time": 0.67931} -{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.28958, "decode.acc_seg": 73.5211, "aux.loss_seg": 0.1375, "aux.acc_seg": 72.3945, "loss": 0.42708, "time": 0.6622} -{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.28848, "decode.acc_seg": 72.51375, "aux.loss_seg": 0.13791, "aux.acc_seg": 71.21866, "loss": 0.42639, "time": 0.6428} -{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.29348, "decode.acc_seg": 71.05633, "aux.loss_seg": 0.13975, "aux.acc_seg": 69.78748, "loss": 0.43323, "time": 0.6543} -{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.29723, "decode.acc_seg": 70.26585, "aux.loss_seg": 0.14188, "aux.acc_seg": 69.02564, "loss": 0.43911, "time": 0.6799} -{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.29937, "decode.acc_seg": 71.35619, "aux.loss_seg": 0.14122, "aux.acc_seg": 70.11122, "loss": 0.44059, "time": 0.6676} -{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.30696, "decode.acc_seg": 69.98057, "aux.loss_seg": 0.14669, "aux.acc_seg": 68.78735, "loss": 0.45365, "time": 0.67356} -{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.29668, "decode.acc_seg": 71.38695, "aux.loss_seg": 0.14377, "aux.acc_seg": 69.88045, "loss": 0.44045, "time": 0.67711} -{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.29238, "decode.acc_seg": 71.28605, "aux.loss_seg": 0.14098, "aux.acc_seg": 69.91715, "loss": 0.43336, "time": 0.66324} -{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.2845, "decode.acc_seg": 72.68883, "aux.loss_seg": 0.13957, "aux.acc_seg": 71.14837, "loss": 0.42406, "time": 0.6725} -{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.28216, "decode.acc_seg": 71.64198, "aux.loss_seg": 0.1357, "aux.acc_seg": 70.26896, "loss": 0.41786, "time": 0.66549} -{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.30007, "decode.acc_seg": 71.47961, "aux.loss_seg": 0.144, "aux.acc_seg": 70.09448, "loss": 0.44407, "time": 0.66145} -{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.29439, "decode.acc_seg": 70.99857, "aux.loss_seg": 0.13925, "aux.acc_seg": 69.74504, "loss": 0.43364, "time": 0.6741} -{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.28684, "decode.acc_seg": 72.16894, "aux.loss_seg": 0.13896, "aux.acc_seg": 70.78553, "loss": 0.42581, "time": 0.67137} -{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.282, "decode.acc_seg": 70.51033, "aux.loss_seg": 0.13446, "aux.acc_seg": 69.20826, "loss": 0.41646, "time": 0.64943} -{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.29086, "decode.acc_seg": 71.36651, "aux.loss_seg": 0.1351, "aux.acc_seg": 70.26873, "loss": 0.42596, "time": 0.65737} -{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.27588, "decode.acc_seg": 73.20834, "aux.loss_seg": 0.13231, "aux.acc_seg": 71.89932, "loss": 0.40819, "time": 0.64979} -{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.30257, "decode.acc_seg": 70.33712, "aux.loss_seg": 0.14477, "aux.acc_seg": 68.77103, "loss": 0.44734, "time": 0.65537} -{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.3009, "decode.acc_seg": 71.88847, "aux.loss_seg": 0.14156, "aux.acc_seg": 70.64524, "loss": 0.44246, "time": 0.66729} -{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.3308, "decode.acc_seg": 70.45921, "aux.loss_seg": 0.15269, "aux.acc_seg": 69.134, "loss": 0.48349, "time": 0.65761} -{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.31017, "decode.acc_seg": 71.36764, "aux.loss_seg": 0.14687, "aux.acc_seg": 69.89313, "loss": 0.45703, "time": 0.6507} -{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 22752, "data_time": 0.23306, "decode.loss_seg": 0.28153, "decode.acc_seg": 72.05889, "aux.loss_seg": 0.13381, "aux.acc_seg": 70.85337, "loss": 0.41535, "time": 0.88784} -{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.26831, "decode.acc_seg": 71.90389, "aux.loss_seg": 0.13076, "aux.acc_seg": 70.57996, "loss": 0.39907, "time": 0.65514} -{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.29822, "decode.acc_seg": 70.99676, "aux.loss_seg": 0.14271, "aux.acc_seg": 69.57076, "loss": 0.44092, "time": 0.65208} -{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.28582, "decode.acc_seg": 71.27431, "aux.loss_seg": 0.13406, "aux.acc_seg": 70.10007, "loss": 0.41989, "time": 0.6788} -{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.29184, "decode.acc_seg": 71.80728, "aux.loss_seg": 0.1418, "aux.acc_seg": 70.41721, "loss": 0.43364, "time": 0.6762} -{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.27874, "decode.acc_seg": 71.03628, "aux.loss_seg": 0.13349, "aux.acc_seg": 69.66184, "loss": 0.41223, "time": 0.63886} -{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.27622, "decode.acc_seg": 71.07001, "aux.loss_seg": 0.13298, "aux.acc_seg": 69.73026, "loss": 0.4092, "time": 0.66005} -{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.26592, "decode.acc_seg": 71.47411, "aux.loss_seg": 0.12919, "aux.acc_seg": 70.1011, "loss": 0.39512, "time": 0.67312} -{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.29052, "decode.acc_seg": 71.21722, "aux.loss_seg": 0.13856, "aux.acc_seg": 69.86521, "loss": 0.42908, "time": 0.65191} -{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.28558, "decode.acc_seg": 71.63448, "aux.loss_seg": 0.13596, "aux.acc_seg": 70.47041, "loss": 0.42154, "time": 0.64861} -{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.3004, "decode.acc_seg": 71.67261, "aux.loss_seg": 0.1431, "aux.acc_seg": 70.4482, "loss": 0.4435, "time": 0.67558} -{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.27528, "decode.acc_seg": 71.21022, "aux.loss_seg": 0.13253, "aux.acc_seg": 69.91906, "loss": 0.40781, "time": 0.67384} -{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.28926, "decode.acc_seg": 71.07609, "aux.loss_seg": 0.1384, "aux.acc_seg": 69.82311, "loss": 0.42766, "time": 0.65668} -{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.2991, "decode.acc_seg": 70.12306, "aux.loss_seg": 0.14072, "aux.acc_seg": 68.88452, "loss": 0.43982, "time": 0.6676} -{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.30705, "decode.acc_seg": 71.60429, "aux.loss_seg": 0.14449, "aux.acc_seg": 70.24441, "loss": 0.45154, "time": 0.66275} -{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 22752, "data_time": 0.00806, "decode.loss_seg": 0.27565, "decode.acc_seg": 72.33252, "aux.loss_seg": 0.13362, "aux.acc_seg": 70.99153, "loss": 0.40927, "time": 0.64792} -{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.29279, "decode.acc_seg": 71.06701, "aux.loss_seg": 0.13643, "aux.acc_seg": 69.86197, "loss": 0.42922, "time": 0.66088} -{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 22752, "data_time": 0.0078, "decode.loss_seg": 0.28487, "decode.acc_seg": 70.89661, "aux.loss_seg": 0.13599, "aux.acc_seg": 69.7075, "loss": 0.42086, "time": 0.66103} -{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.30539, "decode.acc_seg": 71.05549, "aux.loss_seg": 0.14569, "aux.acc_seg": 69.76331, "loss": 0.45108, "time": 0.66223} -{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.31426, "decode.acc_seg": 70.85039, "aux.loss_seg": 0.14745, "aux.acc_seg": 69.57883, "loss": 0.46171, "time": 0.6543} -{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.28777, "decode.acc_seg": 71.83041, "aux.loss_seg": 0.13656, "aux.acc_seg": 70.59625, "loss": 0.42433, "time": 0.6597} -{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.3375, "decode.acc_seg": 72.24518, "aux.loss_seg": 0.15966, "aux.acc_seg": 70.84901, "loss": 0.49716, "time": 0.67272} -{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.29176, "decode.acc_seg": 71.79777, "aux.loss_seg": 0.13795, "aux.acc_seg": 70.7027, "loss": 0.42972, "time": 0.67416} -{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.30329, "decode.acc_seg": 71.90574, "aux.loss_seg": 0.14321, "aux.acc_seg": 70.63953, "loss": 0.4465, "time": 0.67672} -{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.29051, "decode.acc_seg": 72.67492, "aux.loss_seg": 0.13902, "aux.acc_seg": 71.22442, "loss": 0.42953, "time": 0.66085} -{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 22752, "data_time": 0.22898, "decode.loss_seg": 0.27406, "decode.acc_seg": 72.4848, "aux.loss_seg": 0.13185, "aux.acc_seg": 71.25207, "loss": 0.40591, "time": 0.87633} -{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.29217, "decode.acc_seg": 71.38557, "aux.loss_seg": 0.14011, "aux.acc_seg": 70.06612, "loss": 0.43229, "time": 0.66862} -{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.28479, "decode.acc_seg": 73.11234, "aux.loss_seg": 0.13898, "aux.acc_seg": 71.68055, "loss": 0.42377, "time": 0.66188} -{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.27759, "decode.acc_seg": 71.42233, "aux.loss_seg": 0.13484, "aux.acc_seg": 69.85842, "loss": 0.41243, "time": 0.67182} -{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.29041, "decode.acc_seg": 71.05477, "aux.loss_seg": 0.13899, "aux.acc_seg": 69.72212, "loss": 0.4294, "time": 0.67128} -{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.27742, "decode.acc_seg": 71.31923, "aux.loss_seg": 0.13521, "aux.acc_seg": 69.88951, "loss": 0.41263, "time": 0.66938} -{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.28736, "decode.acc_seg": 70.92862, "aux.loss_seg": 0.13815, "aux.acc_seg": 69.52468, "loss": 0.42551, "time": 0.67646} -{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.29488, "decode.acc_seg": 71.35896, "aux.loss_seg": 0.14046, "aux.acc_seg": 69.97485, "loss": 0.43535, "time": 0.66413} -{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.28542, "decode.acc_seg": 71.54976, "aux.loss_seg": 0.1367, "aux.acc_seg": 70.06595, "loss": 0.42212, "time": 0.66684} -{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.27898, "decode.acc_seg": 70.17348, "aux.loss_seg": 0.13298, "aux.acc_seg": 68.88434, "loss": 0.41196, "time": 0.6317} -{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.29474, "decode.acc_seg": 71.69912, "aux.loss_seg": 0.13593, "aux.acc_seg": 70.61709, "loss": 0.43067, "time": 0.66853} -{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.28911, "decode.acc_seg": 70.78304, "aux.loss_seg": 0.13746, "aux.acc_seg": 69.51215, "loss": 0.42656, "time": 0.68072} -{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.27782, "decode.acc_seg": 71.66843, "aux.loss_seg": 0.13368, "aux.acc_seg": 70.196, "loss": 0.41151, "time": 0.67986} -{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.28381, "decode.acc_seg": 71.17688, "aux.loss_seg": 0.13574, "aux.acc_seg": 69.81409, "loss": 0.41955, "time": 0.66771} -{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.29823, "decode.acc_seg": 70.93134, "aux.loss_seg": 0.14177, "aux.acc_seg": 69.65426, "loss": 0.44, "time": 0.66711} -{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.29466, "decode.acc_seg": 71.22038, "aux.loss_seg": 0.13902, "aux.acc_seg": 69.98966, "loss": 0.43368, "time": 0.67274} -{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.26995, "decode.acc_seg": 72.81968, "aux.loss_seg": 0.13055, "aux.acc_seg": 71.43362, "loss": 0.40051, "time": 0.6615} -{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 22752, "data_time": 0.00847, "decode.loss_seg": 0.29081, "decode.acc_seg": 72.59393, "aux.loss_seg": 0.13904, "aux.acc_seg": 71.37596, "loss": 0.42985, "time": 0.66331} -{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.27891, "decode.acc_seg": 71.56829, "aux.loss_seg": 0.13255, "aux.acc_seg": 70.2848, "loss": 0.41146, "time": 0.65467} -{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.28293, "decode.acc_seg": 72.90234, "aux.loss_seg": 0.13507, "aux.acc_seg": 71.58057, "loss": 0.418, "time": 0.67538} -{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.28401, "decode.acc_seg": 72.23853, "aux.loss_seg": 0.13397, "aux.acc_seg": 71.00611, "loss": 0.41798, "time": 0.66166} -{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.27647, "decode.acc_seg": 73.21466, "aux.loss_seg": 0.13338, "aux.acc_seg": 71.7582, "loss": 0.40986, "time": 0.67539} -{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.27455, "decode.acc_seg": 71.95056, "aux.loss_seg": 0.13085, "aux.acc_seg": 70.52477, "loss": 0.4054, "time": 0.66625} -{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.28825, "decode.acc_seg": 71.44136, "aux.loss_seg": 0.13781, "aux.acc_seg": 69.9728, "loss": 0.42606, "time": 0.65429} -{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.29507, "decode.acc_seg": 72.26507, "aux.loss_seg": 0.14013, "aux.acc_seg": 70.92034, "loss": 0.4352, "time": 0.6442} -{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4495, "mAcc": 0.578, "aAcc": 0.8105, "IoU.wall": 0.7456, "IoU.building": 0.7928, "IoU.sky": 0.9389, "IoU.floor": 0.8017, "IoU.tree": 0.7316, "IoU.ceiling": 0.8294, "IoU.road": 0.8295, "IoU.bed ": 0.8527, "IoU.windowpane": 0.601, "IoU.grass": 0.6932, "IoU.cabinet": 0.5777, "IoU.sidewalk": 0.6209, "IoU.person": 0.7631, "IoU.earth": 0.3685, "IoU.door": 0.3429, "IoU.table": 0.5259, "IoU.mountain": 0.5847, "IoU.plant": 0.484, "IoU.curtain": 0.7026, "IoU.chair": 0.5113, "IoU.car": 0.8162, "IoU.water": 0.4875, "IoU.painting": 0.6813, "IoU.sofa": 0.5542, "IoU.shelf": 0.4347, "IoU.house": 0.3277, "IoU.sea": 0.5123, "IoU.mirror": 0.6302, "IoU.rug": 0.6814, "IoU.field": 0.3348, "IoU.armchair": 0.3282, "IoU.seat": 0.5703, "IoU.fence": 0.4483, "IoU.desk": 0.4145, "IoU.rock": 0.4575, "IoU.wardrobe": 0.4973, "IoU.lamp": 0.5671, "IoU.bathtub": 0.7385, "IoU.railing": 0.3324, "IoU.cushion": 0.4932, "IoU.base": 0.2666, "IoU.box": 0.2187, "IoU.column": 0.4017, "IoU.signboard": 0.3408, "IoU.chest of drawers": 0.3245, "IoU.counter": 0.1623, "IoU.sand": 0.3489, "IoU.sink": 0.6649, "IoU.skyscraper": 0.4879, "IoU.fireplace": NaN, "IoU.refrigerator": 0.67, "IoU.grandstand": 0.4049, "IoU.path": 0.1908, "IoU.stairs": 0.245, "IoU.runway": 0.6861, "IoU.case": 0.4741, "IoU.pool table": 0.907, "IoU.pillow": 0.5042, "IoU.screen door": 0.5106, "IoU.stairway": 0.3126, "IoU.river": 0.1338, "IoU.bridge": 0.5722, "IoU.bookcase": 0.4214, "IoU.blind": NaN, "IoU.coffee table": 0.5646, "IoU.toilet": 0.7944, "IoU.flower": 0.3751, "IoU.book": 0.4331, "IoU.hill": 0.135, "IoU.bench": 0.3859, "IoU.countertop": 0.4772, "IoU.stove": 0.6613, "IoU.palm": 0.437, "IoU.kitchen island": 0.3406, "IoU.computer": 0.5878, "IoU.swivel chair": 0.4514, "IoU.boat": 0.4536, "IoU.bar": 0.4538, "IoU.arcade machine": 0.8479, "IoU.hovel": 0.3559, "IoU.bus": 0.8521, "IoU.towel": 0.6445, "IoU.light": 0.5035, "IoU.truck": 0.3878, "IoU.tower": 0.2919, "IoU.chandelier": 0.6596, "IoU.awning": 0.2343, "IoU.streetlight": 0.1883, "IoU.booth": 0.4899, "IoU.television receiver": NaN, "IoU.airplane": 0.4651, "IoU.dirt track": 0.1887, "IoU.apparel": 0.3044, "IoU.pole": 0.0864, "IoU.land": 0.0235, "IoU.bannister": 0.1198, "IoU.escalator": 0.312, "IoU.ottoman": 0.2009, "IoU.bottle": NaN, "IoU.buffet": 0.5054, "IoU.poster": 0.3666, "IoU.stage": 0.1646, "IoU.van": 0.3655, "IoU.ship": 0.6001, "IoU.fountain": 0.2016, "IoU.conveyer belt": 0.6339, "IoU.canopy": 0.1927, "IoU.washer": 0.7065, "IoU.plaything": 0.1281, "IoU.swimming pool": 0.6351, "IoU.stool": 0.3482, "IoU.barrel": 0.4861, "IoU.basket": 0.2849, "IoU.waterfall": 0.6991, "IoU.tent": 0.9353, "IoU.bag": 0.1387, "IoU.minibike": 0.7238, "IoU.cradle": NaN, "IoU.oven": 0.1955, "IoU.ball": 0.3688, "IoU.food": 0.3381, "IoU.step": 0.0695, "IoU.tank": 0.4448, "IoU.trade name": 0.2669, "IoU.microwave": 0.5154, "IoU.pot": 0.4629, "IoU.animal": NaN, "IoU.bicycle": 0.4925, "IoU.lake": 0.0, "IoU.dishwasher": 0.5344, "IoU.screen": 0.596, "IoU.blanket": 0.0384, "IoU.sculpture": 0.5334, "IoU.hood": 0.4841, "IoU.sconce": 0.3963, "IoU.vase": 0.3149, "IoU.traffic light": 0.2665, "IoU.tray": 0.0436, "IoU.ashcan": 0.3851, "IoU.fan": 0.5319, "IoU.pier": 0.3544, "IoU.crt screen": 0.0425, "IoU.plate": 0.4927, "IoU.monitor": 0.2479, "IoU.bulletin board": 0.3779, "IoU.shower": 0.0042, "IoU.radiator": 0.6052, "IoU.glass": 0.1112, "IoU.clock": 0.22, "IoU.flag": 0.3122, "Acc.wall": 0.8685, "Acc.building": 0.931, "Acc.sky": 0.9693, "Acc.floor": 0.87, "Acc.tree": 0.8844, "Acc.ceiling": 0.9054, "Acc.road": 0.8955, "Acc.bed ": 0.9429, "Acc.windowpane": 0.7312, "Acc.grass": 0.8009, "Acc.cabinet": 0.6927, "Acc.sidewalk": 0.7927, "Acc.person": 0.9046, "Acc.earth": 0.5218, "Acc.door": 0.3996, "Acc.table": 0.7748, "Acc.mountain": 0.7485, "Acc.plant": 0.608, "Acc.curtain": 0.8094, "Acc.chair": 0.6684, "Acc.car": 0.8951, "Acc.water": 0.6338, "Acc.painting": 0.8405, "Acc.sofa": 0.7451, "Acc.shelf": 0.6008, "Acc.house": 0.3781, "Acc.sea": 0.7224, "Acc.mirror": 0.7025, "Acc.rug": 0.8148, "Acc.field": 0.5898, "Acc.armchair": 0.5318, "Acc.seat": 0.8039, "Acc.fence": 0.5978, "Acc.desk": 0.6397, "Acc.rock": 0.6764, "Acc.wardrobe": 0.6226, "Acc.lamp": 0.678, "Acc.bathtub": 0.8022, "Acc.railing": 0.4681, "Acc.cushion": 0.6886, "Acc.base": 0.483, "Acc.box": 0.274, "Acc.column": 0.5463, "Acc.signboard": 0.4615, "Acc.chest of drawers": 0.5534, "Acc.counter": 0.1717, "Acc.sand": 0.5139, "Acc.sink": 0.7393, "Acc.skyscraper": 0.5955, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7873, "Acc.grandstand": 0.707, "Acc.path": 0.3163, "Acc.stairs": 0.2993, "Acc.runway": 0.8942, "Acc.case": 0.6695, "Acc.pool table": 0.9524, "Acc.pillow": 0.5869, "Acc.screen door": 0.5444, "Acc.stairway": 0.3808, "Acc.river": 0.3448, "Acc.bridge": 0.748, "Acc.bookcase": 0.612, "Acc.blind": NaN, "Acc.coffee table": 0.7522, "Acc.toilet": 0.8771, "Acc.flower": 0.5203, "Acc.book": 0.5702, "Acc.hill": 0.2388, "Acc.bench": 0.5191, "Acc.countertop": 0.6474, "Acc.stove": 0.768, "Acc.palm": 0.5803, "Acc.kitchen island": 0.6176, "Acc.computer": 0.7381, "Acc.swivel chair": 0.6927, "Acc.boat": 0.5468, "Acc.bar": 0.6439, "Acc.arcade machine": 0.9532, "Acc.hovel": 0.3905, "Acc.bus": 0.9628, "Acc.towel": 0.747, "Acc.light": 0.5753, "Acc.truck": 0.538, "Acc.tower": 0.4502, "Acc.chandelier": 0.8312, "Acc.awning": 0.2657, "Acc.streetlight": 0.2608, "Acc.booth": 0.6142, "Acc.television receiver": NaN, "Acc.airplane": 0.6955, "Acc.dirt track": 0.5187, "Acc.apparel": 0.4501, "Acc.pole": 0.1031, "Acc.land": 0.0315, "Acc.bannister": 0.1963, "Acc.escalator": 0.4101, "Acc.ottoman": 0.2401, "Acc.bottle": NaN, "Acc.buffet": 0.6064, "Acc.poster": 0.5435, "Acc.stage": 0.3192, "Acc.van": 0.5164, "Acc.ship": 0.9627, "Acc.fountain": 0.2109, "Acc.conveyer belt": 0.8766, "Acc.canopy": 0.2839, "Acc.washer": 0.7577, "Acc.plaything": 0.2331, "Acc.swimming pool": 0.8682, "Acc.stool": 0.4315, "Acc.barrel": 0.7098, "Acc.basket": 0.364, "Acc.waterfall": 0.8321, "Acc.tent": 0.9693, "Acc.bag": 0.1856, "Acc.minibike": 0.8887, "Acc.cradle": NaN, "Acc.oven": 0.4749, "Acc.ball": 0.4244, "Acc.food": 0.3782, "Acc.step": 0.0794, "Acc.tank": 0.5251, "Acc.trade name": 0.3086, "Acc.microwave": 0.5747, "Acc.pot": 0.5099, "Acc.animal": NaN, "Acc.bicycle": 0.7367, "Acc.lake": 0.0, "Acc.dishwasher": 0.584, "Acc.screen": 0.9104, "Acc.blanket": 0.0415, "Acc.sculpture": 0.7348, "Acc.hood": 0.6191, "Acc.sconce": 0.4946, "Acc.vase": 0.5269, "Acc.traffic light": 0.4182, "Acc.tray": 0.0713, "Acc.ashcan": 0.5165, "Acc.fan": 0.7006, "Acc.pier": 0.5718, "Acc.crt screen": 0.1133, "Acc.plate": 0.6011, "Acc.monitor": 0.4242, "Acc.bulletin board": 0.5373, "Acc.shower": 0.0401, "Acc.radiator": 0.7281, "Acc.glass": 0.12, "Acc.clock": 0.2725, "Acc.flag": 0.3517} -{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 22752, "data_time": 1.62454, "decode.loss_seg": 0.26439, "decode.acc_seg": 71.53819, "aux.loss_seg": 0.1286, "aux.acc_seg": 70.16868, "loss": 0.39299, "time": 2.28108} -{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.26968, "decode.acc_seg": 71.32438, "aux.loss_seg": 0.13127, "aux.acc_seg": 69.86715, "loss": 0.40094, "time": 0.65785} -{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.28549, "decode.acc_seg": 72.26965, "aux.loss_seg": 0.13863, "aux.acc_seg": 70.81691, "loss": 0.42412, "time": 0.63733} -{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.2601, "decode.acc_seg": 70.92015, "aux.loss_seg": 0.12561, "aux.acc_seg": 69.58109, "loss": 0.38571, "time": 0.65017} -{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.26282, "decode.acc_seg": 71.34667, "aux.loss_seg": 0.12718, "aux.acc_seg": 69.98511, "loss": 0.39, "time": 0.63487} -{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.29704, "decode.acc_seg": 71.20002, "aux.loss_seg": 0.14195, "aux.acc_seg": 69.95012, "loss": 0.43899, "time": 0.63839} -{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.28623, "decode.acc_seg": 74.25568, "aux.loss_seg": 0.13763, "aux.acc_seg": 72.91144, "loss": 0.42387, "time": 0.65422} -{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.27899, "decode.acc_seg": 71.62491, "aux.loss_seg": 0.13583, "aux.acc_seg": 70.15913, "loss": 0.41482, "time": 0.66423} -{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.27641, "decode.acc_seg": 72.07824, "aux.loss_seg": 0.13481, "aux.acc_seg": 70.55911, "loss": 0.41122, "time": 0.67335} -{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.27195, "decode.acc_seg": 72.71498, "aux.loss_seg": 0.12974, "aux.acc_seg": 71.43497, "loss": 0.40169, "time": 0.65658} -{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.29144, "decode.acc_seg": 71.8342, "aux.loss_seg": 0.13776, "aux.acc_seg": 70.42925, "loss": 0.4292, "time": 0.65171} -{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.27529, "decode.acc_seg": 72.37835, "aux.loss_seg": 0.13323, "aux.acc_seg": 70.91506, "loss": 0.40852, "time": 0.64483} -{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.27271, "decode.acc_seg": 71.87416, "aux.loss_seg": 0.12999, "aux.acc_seg": 70.50575, "loss": 0.4027, "time": 0.66816} -{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.28033, "decode.acc_seg": 71.61761, "aux.loss_seg": 0.13672, "aux.acc_seg": 70.17689, "loss": 0.41705, "time": 0.64291} -{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.28561, "decode.acc_seg": 71.70138, "aux.loss_seg": 0.13635, "aux.acc_seg": 70.43764, "loss": 0.42195, "time": 0.63581} -{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.27218, "decode.acc_seg": 71.8118, "aux.loss_seg": 0.13082, "aux.acc_seg": 70.58663, "loss": 0.403, "time": 0.64865} -{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.26744, "decode.acc_seg": 72.21331, "aux.loss_seg": 0.12765, "aux.acc_seg": 70.90816, "loss": 0.39509, "time": 0.64826} -{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.25616, "decode.acc_seg": 72.66061, "aux.loss_seg": 0.12471, "aux.acc_seg": 71.23883, "loss": 0.38087, "time": 0.6713} -{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.28357, "decode.acc_seg": 71.48925, "aux.loss_seg": 0.13682, "aux.acc_seg": 70.1238, "loss": 0.42039, "time": 0.65216} -{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.28043, "decode.acc_seg": 71.09312, "aux.loss_seg": 0.13537, "aux.acc_seg": 69.68579, "loss": 0.41579, "time": 0.64907} -{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.28275, "decode.acc_seg": 72.37578, "aux.loss_seg": 0.13517, "aux.acc_seg": 71.11901, "loss": 0.41792, "time": 0.6666} -{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.28318, "decode.acc_seg": 72.0115, "aux.loss_seg": 0.13494, "aux.acc_seg": 70.92161, "loss": 0.41813, "time": 0.66742} -{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.26253, "decode.acc_seg": 72.17535, "aux.loss_seg": 0.12837, "aux.acc_seg": 70.6817, "loss": 0.3909, "time": 0.67052} -{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.29628, "decode.acc_seg": 71.64673, "aux.loss_seg": 0.13847, "aux.acc_seg": 70.4054, "loss": 0.43476, "time": 0.65223} -{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.27549, "decode.acc_seg": 72.66601, "aux.loss_seg": 0.13166, "aux.acc_seg": 71.35552, "loss": 0.40715, "time": 0.64919} -{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 22752, "data_time": 0.23777, "decode.loss_seg": 0.2912, "decode.acc_seg": 71.1402, "aux.loss_seg": 0.1401, "aux.acc_seg": 69.69815, "loss": 0.4313, "time": 0.89842} -{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.2765, "decode.acc_seg": 72.68599, "aux.loss_seg": 0.13225, "aux.acc_seg": 71.41887, "loss": 0.40875, "time": 0.63001} -{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.26886, "decode.acc_seg": 72.39568, "aux.loss_seg": 0.13056, "aux.acc_seg": 71.07213, "loss": 0.39942, "time": 0.66481} -{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.2881, "decode.acc_seg": 71.82879, "aux.loss_seg": 0.13654, "aux.acc_seg": 70.62312, "loss": 0.42465, "time": 0.65853} -{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.27352, "decode.acc_seg": 71.08742, "aux.loss_seg": 0.133, "aux.acc_seg": 69.86345, "loss": 0.40652, "time": 0.6674} -{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.26677, "decode.acc_seg": 70.43471, "aux.loss_seg": 0.1297, "aux.acc_seg": 69.02139, "loss": 0.39647, "time": 0.64924} -{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.26447, "decode.acc_seg": 72.60023, "aux.loss_seg": 0.12554, "aux.acc_seg": 71.41984, "loss": 0.39001, "time": 0.65589} -{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 22752, "data_time": 0.00788, "decode.loss_seg": 0.27468, "decode.acc_seg": 71.22061, "aux.loss_seg": 0.13216, "aux.acc_seg": 69.86619, "loss": 0.40684, "time": 0.64714} -{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.27243, "decode.acc_seg": 71.75291, "aux.loss_seg": 0.13235, "aux.acc_seg": 70.42226, "loss": 0.40479, "time": 0.67388} -{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.2642, "decode.acc_seg": 72.61531, "aux.loss_seg": 0.12819, "aux.acc_seg": 71.28063, "loss": 0.39239, "time": 0.64587} -{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.27712, "decode.acc_seg": 69.71415, "aux.loss_seg": 0.13311, "aux.acc_seg": 68.60892, "loss": 0.41022, "time": 0.65059} -{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.27501, "decode.acc_seg": 73.09575, "aux.loss_seg": 0.13095, "aux.acc_seg": 71.88463, "loss": 0.40596, "time": 0.64078} -{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.27691, "decode.acc_seg": 71.0907, "aux.loss_seg": 0.13219, "aux.acc_seg": 69.84485, "loss": 0.4091, "time": 0.67033} -{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.27123, "decode.acc_seg": 70.49378, "aux.loss_seg": 0.12945, "aux.acc_seg": 69.33396, "loss": 0.40068, "time": 0.66438} -{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.29291, "decode.acc_seg": 73.06638, "aux.loss_seg": 0.14084, "aux.acc_seg": 71.56788, "loss": 0.43376, "time": 0.6687} -{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.26559, "decode.acc_seg": 73.46866, "aux.loss_seg": 0.12674, "aux.acc_seg": 72.30741, "loss": 0.39233, "time": 0.67109} -{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.27453, "decode.acc_seg": 72.54601, "aux.loss_seg": 0.13321, "aux.acc_seg": 71.05549, "loss": 0.40773, "time": 0.67087} -{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.26836, "decode.acc_seg": 70.37437, "aux.loss_seg": 0.12993, "aux.acc_seg": 69.02193, "loss": 0.39829, "time": 0.67423} -{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.26425, "decode.acc_seg": 71.24689, "aux.loss_seg": 0.12882, "aux.acc_seg": 69.88739, "loss": 0.39307, "time": 0.6366} -{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.26511, "decode.acc_seg": 72.97092, "aux.loss_seg": 0.12816, "aux.acc_seg": 71.66537, "loss": 0.39326, "time": 0.6585} -{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.29142, "decode.acc_seg": 71.43003, "aux.loss_seg": 0.13824, "aux.acc_seg": 70.12491, "loss": 0.42965, "time": 0.64988} -{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.27551, "decode.acc_seg": 71.88171, "aux.loss_seg": 0.13087, "aux.acc_seg": 70.75423, "loss": 0.40638, "time": 0.67513} -{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.28907, "decode.acc_seg": 71.29463, "aux.loss_seg": 0.13649, "aux.acc_seg": 70.11879, "loss": 0.42556, "time": 0.6428} -{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.2833, "decode.acc_seg": 72.80827, "aux.loss_seg": 0.13418, "aux.acc_seg": 71.58559, "loss": 0.41748, "time": 0.68509} -{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.26894, "decode.acc_seg": 70.47471, "aux.loss_seg": 0.12866, "aux.acc_seg": 69.23353, "loss": 0.39761, "time": 0.65972} -{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 22752, "data_time": 0.22772, "decode.loss_seg": 0.27013, "decode.acc_seg": 74.23373, "aux.loss_seg": 0.13149, "aux.acc_seg": 72.82967, "loss": 0.40162, "time": 0.87787} -{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.266, "decode.acc_seg": 72.49922, "aux.loss_seg": 0.13039, "aux.acc_seg": 70.8739, "loss": 0.39638, "time": 0.67537} -{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.27234, "decode.acc_seg": 72.5379, "aux.loss_seg": 0.13311, "aux.acc_seg": 71.1403, "loss": 0.40545, "time": 0.67019} -{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.27991, "decode.acc_seg": 71.95454, "aux.loss_seg": 0.13604, "aux.acc_seg": 70.62969, "loss": 0.41595, "time": 0.6483} -{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.26634, "decode.acc_seg": 71.88724, "aux.loss_seg": 0.12893, "aux.acc_seg": 70.60554, "loss": 0.39527, "time": 0.66097} -{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.26655, "decode.acc_seg": 72.05273, "aux.loss_seg": 0.12839, "aux.acc_seg": 70.82066, "loss": 0.39495, "time": 0.67178} -{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.26861, "decode.acc_seg": 72.06531, "aux.loss_seg": 0.12942, "aux.acc_seg": 70.75714, "loss": 0.39802, "time": 0.66003} -{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.26264, "decode.acc_seg": 71.5579, "aux.loss_seg": 0.12847, "aux.acc_seg": 70.20369, "loss": 0.3911, "time": 0.67498} -{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.27445, "decode.acc_seg": 72.36633, "aux.loss_seg": 0.13248, "aux.acc_seg": 71.10122, "loss": 0.40693, "time": 0.65786} -{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.28259, "decode.acc_seg": 69.5547, "aux.loss_seg": 0.13427, "aux.acc_seg": 68.33021, "loss": 0.41687, "time": 0.65042} -{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.27707, "decode.acc_seg": 70.82038, "aux.loss_seg": 0.13055, "aux.acc_seg": 69.72004, "loss": 0.40762, "time": 0.65815} -{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.26284, "decode.acc_seg": 72.18605, "aux.loss_seg": 0.12398, "aux.acc_seg": 71.05602, "loss": 0.38682, "time": 0.66046} -{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.26943, "decode.acc_seg": 72.60516, "aux.loss_seg": 0.13301, "aux.acc_seg": 71.03302, "loss": 0.40244, "time": 0.66567} -{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.26243, "decode.acc_seg": 71.69973, "aux.loss_seg": 0.12824, "aux.acc_seg": 70.36428, "loss": 0.39067, "time": 0.6554} -{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.26939, "decode.acc_seg": 72.56341, "aux.loss_seg": 0.12848, "aux.acc_seg": 71.28734, "loss": 0.39787, "time": 0.65795} -{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.27234, "decode.acc_seg": 71.9898, "aux.loss_seg": 0.12803, "aux.acc_seg": 70.74099, "loss": 0.40037, "time": 0.67179} -{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.28757, "decode.acc_seg": 72.55872, "aux.loss_seg": 0.13838, "aux.acc_seg": 71.10355, "loss": 0.42595, "time": 0.65731} -{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.26823, "decode.acc_seg": 71.19282, "aux.loss_seg": 0.12953, "aux.acc_seg": 69.75429, "loss": 0.39776, "time": 0.66359} -{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.26829, "decode.acc_seg": 70.55796, "aux.loss_seg": 0.12938, "aux.acc_seg": 69.27374, "loss": 0.39767, "time": 0.67619} -{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.2977, "decode.acc_seg": 71.90977, "aux.loss_seg": 0.14251, "aux.acc_seg": 70.61864, "loss": 0.44021, "time": 0.66293} -{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.28493, "decode.acc_seg": 71.06072, "aux.loss_seg": 0.13491, "aux.acc_seg": 69.70917, "loss": 0.41984, "time": 0.66442} -{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.26671, "decode.acc_seg": 72.85398, "aux.loss_seg": 0.12787, "aux.acc_seg": 71.47763, "loss": 0.39458, "time": 0.6594} -{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 22752, "data_time": 0.00785, "decode.loss_seg": 0.26877, "decode.acc_seg": 71.67749, "aux.loss_seg": 0.13055, "aux.acc_seg": 70.26214, "loss": 0.39932, "time": 0.64788} -{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.27224, "decode.acc_seg": 72.41289, "aux.loss_seg": 0.1308, "aux.acc_seg": 71.10811, "loss": 0.40304, "time": 0.67321} -{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.28478, "decode.acc_seg": 71.61238, "aux.loss_seg": 0.13452, "aux.acc_seg": 70.23346, "loss": 0.4193, "time": 0.67642} -{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 22752, "data_time": 0.24497, "decode.loss_seg": 0.29057, "decode.acc_seg": 72.24921, "aux.loss_seg": 0.13818, "aux.acc_seg": 71.1389, "loss": 0.42875, "time": 0.89058} -{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.28367, "decode.acc_seg": 72.23395, "aux.loss_seg": 0.13362, "aux.acc_seg": 71.08014, "loss": 0.41729, "time": 0.65743} -{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.27232, "decode.acc_seg": 72.54352, "aux.loss_seg": 0.13264, "aux.acc_seg": 71.21005, "loss": 0.40496, "time": 0.64997} -{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.25313, "decode.acc_seg": 72.77683, "aux.loss_seg": 0.12552, "aux.acc_seg": 71.31031, "loss": 0.37865, "time": 0.65639} -{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.25787, "decode.acc_seg": 72.79323, "aux.loss_seg": 0.12467, "aux.acc_seg": 71.53045, "loss": 0.38254, "time": 0.66922} -{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.2754, "decode.acc_seg": 71.85863, "aux.loss_seg": 0.1335, "aux.acc_seg": 70.46942, "loss": 0.4089, "time": 0.64345} -{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.28309, "decode.acc_seg": 72.40458, "aux.loss_seg": 0.13629, "aux.acc_seg": 70.9609, "loss": 0.41939, "time": 0.66231} -{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.25113, "decode.acc_seg": 72.78112, "aux.loss_seg": 0.12168, "aux.acc_seg": 71.51565, "loss": 0.37281, "time": 0.65948} -{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.26374, "decode.acc_seg": 72.37508, "aux.loss_seg": 0.12725, "aux.acc_seg": 70.9777, "loss": 0.39099, "time": 0.65152} -{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.27389, "decode.acc_seg": 73.36051, "aux.loss_seg": 0.13621, "aux.acc_seg": 71.72304, "loss": 0.4101, "time": 0.66183} -{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.29018, "decode.acc_seg": 72.94976, "aux.loss_seg": 0.1382, "aux.acc_seg": 71.66122, "loss": 0.42837, "time": 0.67492} -{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.2714, "decode.acc_seg": 71.16849, "aux.loss_seg": 0.12986, "aux.acc_seg": 69.7225, "loss": 0.40126, "time": 0.66784} -{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.27853, "decode.acc_seg": 72.34746, "aux.loss_seg": 0.13241, "aux.acc_seg": 71.00259, "loss": 0.41094, "time": 0.65233} -{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.2522, "decode.acc_seg": 71.84119, "aux.loss_seg": 0.1244, "aux.acc_seg": 70.38911, "loss": 0.3766, "time": 0.66508} -{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.25564, "decode.acc_seg": 73.43256, "aux.loss_seg": 0.1265, "aux.acc_seg": 71.97799, "loss": 0.38214, "time": 0.65728} -{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.26138, "decode.acc_seg": 71.88253, "aux.loss_seg": 0.12387, "aux.acc_seg": 70.68773, "loss": 0.38525, "time": 0.65808} -{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.26239, "decode.acc_seg": 72.97673, "aux.loss_seg": 0.12719, "aux.acc_seg": 71.55476, "loss": 0.38958, "time": 0.67517} -{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.25991, "decode.acc_seg": 71.73978, "aux.loss_seg": 0.12474, "aux.acc_seg": 70.57263, "loss": 0.38466, "time": 0.66781} -{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.28111, "decode.acc_seg": 71.2582, "aux.loss_seg": 0.13392, "aux.acc_seg": 69.95764, "loss": 0.41502, "time": 0.66083} -{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.2809, "decode.acc_seg": 71.6757, "aux.loss_seg": 0.13372, "aux.acc_seg": 70.39184, "loss": 0.41462, "time": 0.67601} -{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.26315, "decode.acc_seg": 71.95571, "aux.loss_seg": 0.12524, "aux.acc_seg": 70.76006, "loss": 0.38839, "time": 0.66744} -{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.27353, "decode.acc_seg": 70.73333, "aux.loss_seg": 0.13253, "aux.acc_seg": 69.53124, "loss": 0.40606, "time": 0.64889} -{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.27205, "decode.acc_seg": 71.544, "aux.loss_seg": 0.13201, "aux.acc_seg": 70.12955, "loss": 0.40406, "time": 0.66593} -{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.26432, "decode.acc_seg": 72.97052, "aux.loss_seg": 0.12959, "aux.acc_seg": 71.53266, "loss": 0.39391, "time": 0.67102} -{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.26492, "decode.acc_seg": 73.21686, "aux.loss_seg": 0.12655, "aux.acc_seg": 72.01173, "loss": 0.39147, "time": 0.65194} -{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 22752, "data_time": 0.2315, "decode.loss_seg": 0.25002, "decode.acc_seg": 72.25057, "aux.loss_seg": 0.12089, "aux.acc_seg": 71.10513, "loss": 0.37091, "time": 0.88684} -{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.26384, "decode.acc_seg": 71.93555, "aux.loss_seg": 0.12961, "aux.acc_seg": 70.45946, "loss": 0.39345, "time": 0.64908} -{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.25089, "decode.acc_seg": 72.90304, "aux.loss_seg": 0.12373, "aux.acc_seg": 71.54588, "loss": 0.37462, "time": 0.67089} -{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.26395, "decode.acc_seg": 73.67298, "aux.loss_seg": 0.12723, "aux.acc_seg": 72.40152, "loss": 0.39118, "time": 0.66563} -{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.27511, "decode.acc_seg": 72.82675, "aux.loss_seg": 0.13266, "aux.acc_seg": 71.48364, "loss": 0.40777, "time": 0.64966} -{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.25694, "decode.acc_seg": 72.10853, "aux.loss_seg": 0.12459, "aux.acc_seg": 70.85192, "loss": 0.38154, "time": 0.65794} -{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.26504, "decode.acc_seg": 72.50741, "aux.loss_seg": 0.12919, "aux.acc_seg": 71.1473, "loss": 0.39423, "time": 0.64806} -{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.24487, "decode.acc_seg": 72.94941, "aux.loss_seg": 0.12066, "aux.acc_seg": 71.43833, "loss": 0.36553, "time": 0.66429} -{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.25755, "decode.acc_seg": 72.43488, "aux.loss_seg": 0.12522, "aux.acc_seg": 71.1339, "loss": 0.38277, "time": 0.66101} -{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.27872, "decode.acc_seg": 71.72175, "aux.loss_seg": 0.13314, "aux.acc_seg": 70.46514, "loss": 0.41186, "time": 0.66023} -{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.26005, "decode.acc_seg": 73.50962, "aux.loss_seg": 0.12767, "aux.acc_seg": 71.95883, "loss": 0.38772, "time": 0.66798} -{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.26172, "decode.acc_seg": 71.85702, "aux.loss_seg": 0.12741, "aux.acc_seg": 70.51353, "loss": 0.38913, "time": 0.65968} -{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.26492, "decode.acc_seg": 72.27018, "aux.loss_seg": 0.12772, "aux.acc_seg": 70.99962, "loss": 0.39264, "time": 0.66739} -{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.22908, "decode.acc_seg": 71.587, "aux.loss_seg": 0.11228, "aux.acc_seg": 70.28013, "loss": 0.34137, "time": 0.66772} -{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.251, "decode.acc_seg": 74.74828, "aux.loss_seg": 0.12291, "aux.acc_seg": 73.36871, "loss": 0.3739, "time": 0.66064} -{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.25965, "decode.acc_seg": 73.17878, "aux.loss_seg": 0.12503, "aux.acc_seg": 71.9309, "loss": 0.38467, "time": 0.66103} -{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.27228, "decode.acc_seg": 72.16988, "aux.loss_seg": 0.131, "aux.acc_seg": 70.80806, "loss": 0.40328, "time": 0.67967} -{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.2703, "decode.acc_seg": 71.73183, "aux.loss_seg": 0.13141, "aux.acc_seg": 70.22192, "loss": 0.40171, "time": 0.65952} -{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.26097, "decode.acc_seg": 72.42569, "aux.loss_seg": 0.1284, "aux.acc_seg": 70.97171, "loss": 0.38937, "time": 0.64861} -{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.27493, "decode.acc_seg": 72.74841, "aux.loss_seg": 0.13131, "aux.acc_seg": 71.55334, "loss": 0.40624, "time": 0.65822} -{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.25113, "decode.acc_seg": 72.2283, "aux.loss_seg": 0.12325, "aux.acc_seg": 70.97497, "loss": 0.37439, "time": 0.66623} -{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.24798, "decode.acc_seg": 71.87771, "aux.loss_seg": 0.12082, "aux.acc_seg": 70.72462, "loss": 0.3688, "time": 0.66855} -{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.27299, "decode.acc_seg": 72.43315, "aux.loss_seg": 0.13105, "aux.acc_seg": 71.07339, "loss": 0.40404, "time": 0.67214} -{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.27084, "decode.acc_seg": 71.42025, "aux.loss_seg": 0.13129, "aux.acc_seg": 70.09753, "loss": 0.40213, "time": 0.63582} -{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.26513, "decode.acc_seg": 71.76408, "aux.loss_seg": 0.12854, "aux.acc_seg": 70.46436, "loss": 0.39367, "time": 0.65193} -{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.28042, "decode.acc_seg": 71.64889, "aux.loss_seg": 0.13715, "aux.acc_seg": 70.15301, "loss": 0.41757, "time": 0.66298} -{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 22752, "data_time": 0.22998, "decode.loss_seg": 0.25423, "decode.acc_seg": 72.7546, "aux.loss_seg": 0.12392, "aux.acc_seg": 71.45831, "loss": 0.37815, "time": 0.86641} -{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.2629, "decode.acc_seg": 70.78357, "aux.loss_seg": 0.12689, "aux.acc_seg": 69.55654, "loss": 0.38979, "time": 0.66246} -{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.24953, "decode.acc_seg": 72.17668, "aux.loss_seg": 0.12094, "aux.acc_seg": 70.80069, "loss": 0.37047, "time": 0.65743} -{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.25469, "decode.acc_seg": 72.00615, "aux.loss_seg": 0.12249, "aux.acc_seg": 70.70303, "loss": 0.37718, "time": 0.65968} -{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.25685, "decode.acc_seg": 73.34368, "aux.loss_seg": 0.12591, "aux.acc_seg": 71.98911, "loss": 0.38276, "time": 0.65751} -{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.2599, "decode.acc_seg": 74.20049, "aux.loss_seg": 0.12845, "aux.acc_seg": 72.81862, "loss": 0.38835, "time": 0.65928} -{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.25014, "decode.acc_seg": 71.72247, "aux.loss_seg": 0.12084, "aux.acc_seg": 70.59206, "loss": 0.37098, "time": 0.6697} -{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.25451, "decode.acc_seg": 73.53609, "aux.loss_seg": 0.12391, "aux.acc_seg": 72.20475, "loss": 0.37842, "time": 0.64784} -{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.25482, "decode.acc_seg": 72.4787, "aux.loss_seg": 0.12431, "aux.acc_seg": 71.05403, "loss": 0.37914, "time": 0.66498} -{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.25814, "decode.acc_seg": 70.85418, "aux.loss_seg": 0.12731, "aux.acc_seg": 69.37652, "loss": 0.38545, "time": 0.66586} -{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.25011, "decode.acc_seg": 72.54614, "aux.loss_seg": 0.12061, "aux.acc_seg": 71.26152, "loss": 0.37072, "time": 0.64621} -{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.26478, "decode.acc_seg": 71.00653, "aux.loss_seg": 0.12755, "aux.acc_seg": 69.77765, "loss": 0.39233, "time": 0.65125} -{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.26696, "decode.acc_seg": 72.36691, "aux.loss_seg": 0.12918, "aux.acc_seg": 71.01425, "loss": 0.39614, "time": 0.66402} -{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.25489, "decode.acc_seg": 73.77273, "aux.loss_seg": 0.12478, "aux.acc_seg": 72.48157, "loss": 0.37967, "time": 0.66634} -{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.26948, "decode.acc_seg": 73.01582, "aux.loss_seg": 0.1312, "aux.acc_seg": 71.54762, "loss": 0.40068, "time": 0.65776} -{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.2469, "decode.acc_seg": 73.44882, "aux.loss_seg": 0.12079, "aux.acc_seg": 72.13793, "loss": 0.36769, "time": 0.67319} -{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.24545, "decode.acc_seg": 73.29235, "aux.loss_seg": 0.12015, "aux.acc_seg": 71.9993, "loss": 0.36559, "time": 0.66993} -{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.2506, "decode.acc_seg": 72.59261, "aux.loss_seg": 0.12147, "aux.acc_seg": 71.11164, "loss": 0.37208, "time": 0.6726} -{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.26722, "decode.acc_seg": 71.8504, "aux.loss_seg": 0.12954, "aux.acc_seg": 70.4263, "loss": 0.39675, "time": 0.66446} -{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.26906, "decode.acc_seg": 72.03665, "aux.loss_seg": 0.13001, "aux.acc_seg": 70.68379, "loss": 0.39907, "time": 0.65656} -{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.26203, "decode.acc_seg": 73.73332, "aux.loss_seg": 0.1275, "aux.acc_seg": 72.41309, "loss": 0.38952, "time": 0.66987} -{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.25128, "decode.acc_seg": 71.66789, "aux.loss_seg": 0.1226, "aux.acc_seg": 70.30628, "loss": 0.37388, "time": 0.67609} -{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.24735, "decode.acc_seg": 72.1014, "aux.loss_seg": 0.12181, "aux.acc_seg": 70.7107, "loss": 0.36917, "time": 0.65948} -{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.25813, "decode.acc_seg": 72.33567, "aux.loss_seg": 0.12408, "aux.acc_seg": 70.94978, "loss": 0.38221, "time": 0.66278} -{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.26785, "decode.acc_seg": 71.60209, "aux.loss_seg": 0.12982, "aux.acc_seg": 70.37074, "loss": 0.39767, "time": 0.67386} -{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 22752, "data_time": 0.22678, "decode.loss_seg": 0.24771, "decode.acc_seg": 72.78772, "aux.loss_seg": 0.12158, "aux.acc_seg": 71.42878, "loss": 0.36929, "time": 0.86363} -{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.25846, "decode.acc_seg": 71.88454, "aux.loss_seg": 0.12614, "aux.acc_seg": 70.53624, "loss": 0.3846, "time": 0.65294} -{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.26718, "decode.acc_seg": 72.56899, "aux.loss_seg": 0.12909, "aux.acc_seg": 71.26102, "loss": 0.39627, "time": 0.6413} -{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.26082, "decode.acc_seg": 71.7717, "aux.loss_seg": 0.12648, "aux.acc_seg": 70.37922, "loss": 0.3873, "time": 0.66085} -{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.24922, "decode.acc_seg": 72.25155, "aux.loss_seg": 0.1226, "aux.acc_seg": 70.8837, "loss": 0.37183, "time": 0.66141} -{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.24906, "decode.acc_seg": 72.83407, "aux.loss_seg": 0.12207, "aux.acc_seg": 71.53687, "loss": 0.37113, "time": 0.66003} -{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.25988, "decode.acc_seg": 72.62792, "aux.loss_seg": 0.12666, "aux.acc_seg": 71.19256, "loss": 0.38654, "time": 0.66841} -{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.24724, "decode.acc_seg": 72.73718, "aux.loss_seg": 0.12195, "aux.acc_seg": 71.33647, "loss": 0.36919, "time": 0.66177} -{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 22752, "data_time": 0.01127, "decode.loss_seg": 0.24486, "decode.acc_seg": 72.18998, "aux.loss_seg": 0.11733, "aux.acc_seg": 71.09207, "loss": 0.36219, "time": 0.68223} -{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.26343, "decode.acc_seg": 73.20428, "aux.loss_seg": 0.12644, "aux.acc_seg": 71.91321, "loss": 0.38987, "time": 0.64692} -{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.26653, "decode.acc_seg": 72.63201, "aux.loss_seg": 0.12793, "aux.acc_seg": 71.31828, "loss": 0.39446, "time": 0.66772} -{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.26076, "decode.acc_seg": 72.24159, "aux.loss_seg": 0.12608, "aux.acc_seg": 70.92434, "loss": 0.38683, "time": 0.67161} -{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.27936, "decode.acc_seg": 73.44546, "aux.loss_seg": 0.13489, "aux.acc_seg": 72.07674, "loss": 0.41425, "time": 0.64912} -{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.26034, "decode.acc_seg": 72.36027, "aux.loss_seg": 0.12582, "aux.acc_seg": 71.08433, "loss": 0.38617, "time": 0.64898} -{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 22752, "data_time": 0.0106, "decode.loss_seg": 0.25078, "decode.acc_seg": 72.49775, "aux.loss_seg": 0.12199, "aux.acc_seg": 71.23564, "loss": 0.37278, "time": 0.6706} -{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.26257, "decode.acc_seg": 72.19372, "aux.loss_seg": 0.12565, "aux.acc_seg": 70.96944, "loss": 0.38821, "time": 0.66379} -{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.2504, "decode.acc_seg": 71.16132, "aux.loss_seg": 0.12052, "aux.acc_seg": 69.90845, "loss": 0.37092, "time": 0.6481} -{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.24437, "decode.acc_seg": 73.09297, "aux.loss_seg": 0.11962, "aux.acc_seg": 71.74137, "loss": 0.36399, "time": 0.66155} -{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.24867, "decode.acc_seg": 72.59848, "aux.loss_seg": 0.12121, "aux.acc_seg": 71.2833, "loss": 0.36988, "time": 0.65022} -{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.26572, "decode.acc_seg": 73.77273, "aux.loss_seg": 0.13193, "aux.acc_seg": 72.23692, "loss": 0.39765, "time": 0.67635} -{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.25714, "decode.acc_seg": 70.92639, "aux.loss_seg": 0.12571, "aux.acc_seg": 69.42676, "loss": 0.38285, "time": 0.6478} -{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.25677, "decode.acc_seg": 72.37814, "aux.loss_seg": 0.12545, "aux.acc_seg": 70.98211, "loss": 0.38222, "time": 0.64649} -{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.24884, "decode.acc_seg": 72.9692, "aux.loss_seg": 0.12105, "aux.acc_seg": 71.65049, "loss": 0.36989, "time": 0.64577} -{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.28408, "decode.acc_seg": 71.91344, "aux.loss_seg": 0.13576, "aux.acc_seg": 70.66839, "loss": 0.41984, "time": 0.67807} -{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.27211, "decode.acc_seg": 72.4689, "aux.loss_seg": 0.13068, "aux.acc_seg": 71.05732, "loss": 0.4028, "time": 0.65033} -{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 22752, "data_time": 0.22485, "decode.loss_seg": 0.2721, "decode.acc_seg": 73.03804, "aux.loss_seg": 0.13115, "aux.acc_seg": 71.80645, "loss": 0.40325, "time": 0.8761} -{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.26091, "decode.acc_seg": 71.02844, "aux.loss_seg": 0.12715, "aux.acc_seg": 69.7415, "loss": 0.38806, "time": 0.64569} -{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.24923, "decode.acc_seg": 72.1584, "aux.loss_seg": 0.11945, "aux.acc_seg": 70.95143, "loss": 0.36868, "time": 0.65101} -{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.24248, "decode.acc_seg": 72.06619, "aux.loss_seg": 0.11896, "aux.acc_seg": 70.73577, "loss": 0.36143, "time": 0.66073} -{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.25008, "decode.acc_seg": 73.63968, "aux.loss_seg": 0.12263, "aux.acc_seg": 72.17276, "loss": 0.37271, "time": 0.66013} -{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.26138, "decode.acc_seg": 72.78192, "aux.loss_seg": 0.12523, "aux.acc_seg": 71.47713, "loss": 0.38661, "time": 0.6573} -{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.24932, "decode.acc_seg": 72.19801, "aux.loss_seg": 0.11981, "aux.acc_seg": 71.14853, "loss": 0.36913, "time": 0.67182} -{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.2548, "decode.acc_seg": 74.56361, "aux.loss_seg": 0.12373, "aux.acc_seg": 73.31451, "loss": 0.37853, "time": 0.66844} -{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.24659, "decode.acc_seg": 72.62965, "aux.loss_seg": 0.11996, "aux.acc_seg": 71.37273, "loss": 0.36655, "time": 0.65406} -{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.2582, "decode.acc_seg": 73.28609, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.95169, "loss": 0.38277, "time": 0.66155} -{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.27824, "decode.acc_seg": 70.07129, "aux.loss_seg": 0.13546, "aux.acc_seg": 68.61068, "loss": 0.4137, "time": 0.66761} -{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.27045, "decode.acc_seg": 72.7454, "aux.loss_seg": 0.1319, "aux.acc_seg": 71.25087, "loss": 0.40235, "time": 0.66173} -{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.26053, "decode.acc_seg": 72.63129, "aux.loss_seg": 0.12772, "aux.acc_seg": 71.27978, "loss": 0.38826, "time": 0.65898} -{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 22752, "data_time": 0.01074, "decode.loss_seg": 0.2612, "decode.acc_seg": 72.6742, "aux.loss_seg": 0.12603, "aux.acc_seg": 71.37629, "loss": 0.38723, "time": 0.66601} -{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.23986, "decode.acc_seg": 72.69309, "aux.loss_seg": 0.11823, "aux.acc_seg": 71.34787, "loss": 0.35809, "time": 0.65792} -{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.24931, "decode.acc_seg": 73.11603, "aux.loss_seg": 0.12029, "aux.acc_seg": 71.98725, "loss": 0.3696, "time": 0.66617} -{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.26872, "decode.acc_seg": 71.88898, "aux.loss_seg": 0.12889, "aux.acc_seg": 70.64189, "loss": 0.39761, "time": 0.67142} -{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.26969, "decode.acc_seg": 73.34652, "aux.loss_seg": 0.13107, "aux.acc_seg": 72.00523, "loss": 0.40076, "time": 0.67801} -{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.24457, "decode.acc_seg": 70.7079, "aux.loss_seg": 0.1186, "aux.acc_seg": 69.47011, "loss": 0.36316, "time": 0.66009} -{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.25488, "decode.acc_seg": 71.96326, "aux.loss_seg": 0.1232, "aux.acc_seg": 70.65906, "loss": 0.37809, "time": 0.67148} -{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.26427, "decode.acc_seg": 73.85369, "aux.loss_seg": 0.12572, "aux.acc_seg": 72.68851, "loss": 0.38999, "time": 0.67271} -{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.2483, "decode.acc_seg": 73.10528, "aux.loss_seg": 0.12222, "aux.acc_seg": 71.65188, "loss": 0.37052, "time": 0.65254} -{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.25345, "decode.acc_seg": 72.66989, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.38776, "loss": 0.37571, "time": 0.67412} -{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.26432, "decode.acc_seg": 71.85367, "aux.loss_seg": 0.1267, "aux.acc_seg": 70.55056, "loss": 0.39102, "time": 0.65394} -{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.25624, "decode.acc_seg": 72.78485, "aux.loss_seg": 0.12427, "aux.acc_seg": 71.37343, "loss": 0.38051, "time": 0.65979} -{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 22752, "data_time": 0.22867, "decode.loss_seg": 0.26807, "decode.acc_seg": 72.81576, "aux.loss_seg": 0.13012, "aux.acc_seg": 71.43544, "loss": 0.3982, "time": 0.89212} -{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.2457, "decode.acc_seg": 74.90135, "aux.loss_seg": 0.12047, "aux.acc_seg": 73.62365, "loss": 0.36616, "time": 0.65253} -{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.25422, "decode.acc_seg": 72.4376, "aux.loss_seg": 0.12465, "aux.acc_seg": 71.06547, "loss": 0.37887, "time": 0.65443} -{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.25132, "decode.acc_seg": 73.09436, "aux.loss_seg": 0.12469, "aux.acc_seg": 71.67859, "loss": 0.37601, "time": 0.64947} -{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.2474, "decode.acc_seg": 72.98197, "aux.loss_seg": 0.12227, "aux.acc_seg": 71.64158, "loss": 0.36967, "time": 0.6458} -{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.25394, "decode.acc_seg": 73.04512, "aux.loss_seg": 0.12374, "aux.acc_seg": 71.80602, "loss": 0.37768, "time": 0.64028} -{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.24197, "decode.acc_seg": 72.41553, "aux.loss_seg": 0.11793, "aux.acc_seg": 71.12949, "loss": 0.3599, "time": 0.65509} -{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.23898, "decode.acc_seg": 73.14318, "aux.loss_seg": 0.11842, "aux.acc_seg": 71.72095, "loss": 0.3574, "time": 0.65548} -{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.2354, "decode.acc_seg": 72.754, "aux.loss_seg": 0.1133, "aux.acc_seg": 71.56375, "loss": 0.3487, "time": 0.66382} -{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.24972, "decode.acc_seg": 73.51643, "aux.loss_seg": 0.12184, "aux.acc_seg": 72.1999, "loss": 0.37157, "time": 0.66907} -{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.24603, "decode.acc_seg": 72.99347, "aux.loss_seg": 0.11996, "aux.acc_seg": 71.67491, "loss": 0.36599, "time": 0.67378} -{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.25726, "decode.acc_seg": 73.32897, "aux.loss_seg": 0.12342, "aux.acc_seg": 72.06045, "loss": 0.38068, "time": 0.67185} -{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 22752, "data_time": 0.01105, "decode.loss_seg": 0.24024, "decode.acc_seg": 71.47381, "aux.loss_seg": 0.11911, "aux.acc_seg": 69.98953, "loss": 0.35936, "time": 0.68395} -{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.24889, "decode.acc_seg": 72.39821, "aux.loss_seg": 0.12331, "aux.acc_seg": 70.87764, "loss": 0.3722, "time": 0.68066} -{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.23301, "decode.acc_seg": 72.63337, "aux.loss_seg": 0.11386, "aux.acc_seg": 71.3901, "loss": 0.34687, "time": 0.65252} -{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.24899, "decode.acc_seg": 72.73581, "aux.loss_seg": 0.12142, "aux.acc_seg": 71.50044, "loss": 0.37041, "time": 0.66123} -{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.24628, "decode.acc_seg": 72.88284, "aux.loss_seg": 0.11847, "aux.acc_seg": 71.5698, "loss": 0.36476, "time": 0.65906} -{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.25363, "decode.acc_seg": 72.35295, "aux.loss_seg": 0.12108, "aux.acc_seg": 71.34563, "loss": 0.3747, "time": 0.65304} -{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.27138, "decode.acc_seg": 72.55173, "aux.loss_seg": 0.13161, "aux.acc_seg": 71.0592, "loss": 0.40299, "time": 0.6792} -{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.24964, "decode.acc_seg": 73.71782, "aux.loss_seg": 0.12196, "aux.acc_seg": 72.3555, "loss": 0.3716, "time": 0.64326} -{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.26019, "decode.acc_seg": 73.50128, "aux.loss_seg": 0.12497, "aux.acc_seg": 72.20141, "loss": 0.38515, "time": 0.66306} -{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 22752, "data_time": 0.01076, "decode.loss_seg": 0.24629, "decode.acc_seg": 72.32808, "aux.loss_seg": 0.11824, "aux.acc_seg": 71.08354, "loss": 0.36453, "time": 0.66668} -{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.27609, "decode.acc_seg": 72.18578, "aux.loss_seg": 0.13154, "aux.acc_seg": 70.99841, "loss": 0.40763, "time": 0.64474} -{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.24591, "decode.acc_seg": 72.16114, "aux.loss_seg": 0.11969, "aux.acc_seg": 71.00242, "loss": 0.3656, "time": 0.66935} -{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.24358, "decode.acc_seg": 72.46865, "aux.loss_seg": 0.11923, "aux.acc_seg": 71.08528, "loss": 0.36281, "time": 0.65854} -{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.24395, "decode.acc_seg": 73.85977, "aux.loss_seg": 0.12072, "aux.acc_seg": 72.46638, "loss": 0.36467, "time": 0.65498} -{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 22752, "data_time": 0.23346, "decode.loss_seg": 0.23974, "decode.acc_seg": 73.51176, "aux.loss_seg": 0.11784, "aux.acc_seg": 72.21486, "loss": 0.35758, "time": 0.87211} -{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.22881, "decode.acc_seg": 73.66424, "aux.loss_seg": 0.11408, "aux.acc_seg": 72.20788, "loss": 0.34289, "time": 0.6649} -{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.24434, "decode.acc_seg": 72.54199, "aux.loss_seg": 0.11922, "aux.acc_seg": 71.23984, "loss": 0.36356, "time": 0.66729} -{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.24007, "decode.acc_seg": 74.01797, "aux.loss_seg": 0.1177, "aux.acc_seg": 72.68955, "loss": 0.35777, "time": 0.66511} -{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.23766, "decode.acc_seg": 73.38118, "aux.loss_seg": 0.11607, "aux.acc_seg": 72.23077, "loss": 0.35373, "time": 0.65843} -{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.24767, "decode.acc_seg": 73.10196, "aux.loss_seg": 0.12192, "aux.acc_seg": 71.82036, "loss": 0.36958, "time": 0.66947} -{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.23183, "decode.acc_seg": 72.43782, "aux.loss_seg": 0.11657, "aux.acc_seg": 70.98274, "loss": 0.3484, "time": 0.67066} -{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.24704, "decode.acc_seg": 73.54214, "aux.loss_seg": 0.1216, "aux.acc_seg": 72.02396, "loss": 0.36864, "time": 0.67337} -{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.24009, "decode.acc_seg": 72.50845, "aux.loss_seg": 0.11714, "aux.acc_seg": 71.16117, "loss": 0.35723, "time": 0.63756} -{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.25362, "decode.acc_seg": 71.4487, "aux.loss_seg": 0.1221, "aux.acc_seg": 70.27945, "loss": 0.37572, "time": 0.66737} -{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.25147, "decode.acc_seg": 72.22494, "aux.loss_seg": 0.12253, "aux.acc_seg": 70.8743, "loss": 0.374, "time": 0.66451} -{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.24458, "decode.acc_seg": 72.88085, "aux.loss_seg": 0.11893, "aux.acc_seg": 71.58171, "loss": 0.36351, "time": 0.65063} -{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.25684, "decode.acc_seg": 73.86165, "aux.loss_seg": 0.12453, "aux.acc_seg": 72.5871, "loss": 0.38137, "time": 0.66376} -{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.25382, "decode.acc_seg": 72.72593, "aux.loss_seg": 0.12487, "aux.acc_seg": 71.39676, "loss": 0.37869, "time": 0.66992} -{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.24565, "decode.acc_seg": 72.84261, "aux.loss_seg": 0.12096, "aux.acc_seg": 71.35584, "loss": 0.36661, "time": 0.66977} -{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.27924, "decode.acc_seg": 72.11007, "aux.loss_seg": 0.13012, "aux.acc_seg": 71.0051, "loss": 0.40936, "time": 0.66669} -{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 22752, "data_time": 0.01029, "decode.loss_seg": 0.25811, "decode.acc_seg": 70.56274, "aux.loss_seg": 0.12452, "aux.acc_seg": 69.18571, "loss": 0.38263, "time": 0.65159} -{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.25815, "decode.acc_seg": 72.65645, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.22599, "loss": 0.38272, "time": 0.66409} -{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.23957, "decode.acc_seg": 73.0637, "aux.loss_seg": 0.11514, "aux.acc_seg": 71.89305, "loss": 0.35471, "time": 0.67853} -{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.25839, "decode.acc_seg": 73.17026, "aux.loss_seg": 0.12402, "aux.acc_seg": 71.77847, "loss": 0.38241, "time": 0.66957} -{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.2638, "decode.acc_seg": 73.32575, "aux.loss_seg": 0.12782, "aux.acc_seg": 72.02198, "loss": 0.39162, "time": 0.65342} -{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.24592, "decode.acc_seg": 71.91614, "aux.loss_seg": 0.12083, "aux.acc_seg": 70.52034, "loss": 0.36675, "time": 0.67144} -{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.26421, "decode.acc_seg": 71.42401, "aux.loss_seg": 0.12869, "aux.acc_seg": 70.08209, "loss": 0.3929, "time": 0.64725} -{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.26672, "decode.acc_seg": 73.42135, "aux.loss_seg": 0.12863, "aux.acc_seg": 72.17962, "loss": 0.39535, "time": 0.64745} -{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.23237, "decode.acc_seg": 71.25053, "aux.loss_seg": 0.11485, "aux.acc_seg": 69.90836, "loss": 0.34722, "time": 0.66641} -{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 22752, "data_time": 0.23293, "decode.loss_seg": 0.24118, "decode.acc_seg": 71.81855, "aux.loss_seg": 0.11768, "aux.acc_seg": 70.53064, "loss": 0.35887, "time": 0.85974} -{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.23232, "decode.acc_seg": 74.21362, "aux.loss_seg": 0.11624, "aux.acc_seg": 72.74913, "loss": 0.34856, "time": 0.67191} -{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.2391, "decode.acc_seg": 72.85991, "aux.loss_seg": 0.11822, "aux.acc_seg": 71.47479, "loss": 0.35731, "time": 0.66756} -{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.23651, "decode.acc_seg": 73.23943, "aux.loss_seg": 0.11774, "aux.acc_seg": 71.7845, "loss": 0.35424, "time": 0.6658} -{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.24778, "decode.acc_seg": 71.43274, "aux.loss_seg": 0.12097, "aux.acc_seg": 70.07598, "loss": 0.36875, "time": 0.66358} -{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.22515, "decode.acc_seg": 72.52901, "aux.loss_seg": 0.11319, "aux.acc_seg": 71.15628, "loss": 0.33834, "time": 0.66721} -{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.24988, "decode.acc_seg": 73.42106, "aux.loss_seg": 0.12312, "aux.acc_seg": 72.02304, "loss": 0.37301, "time": 0.64087} -{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.24835, "decode.acc_seg": 74.0437, "aux.loss_seg": 0.12142, "aux.acc_seg": 72.60471, "loss": 0.36977, "time": 0.67455} -{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 22752, "data_time": 0.00981, "decode.loss_seg": 0.25037, "decode.acc_seg": 71.37223, "aux.loss_seg": 0.12021, "aux.acc_seg": 70.11523, "loss": 0.37058, "time": 0.67205} -{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.26059, "decode.acc_seg": 72.59753, "aux.loss_seg": 0.12605, "aux.acc_seg": 71.42439, "loss": 0.38664, "time": 0.65373} -{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.25564, "decode.acc_seg": 72.31237, "aux.loss_seg": 0.12594, "aux.acc_seg": 70.7674, "loss": 0.38157, "time": 0.66784} -{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.25061, "decode.acc_seg": 73.40801, "aux.loss_seg": 0.12113, "aux.acc_seg": 72.11766, "loss": 0.37175, "time": 0.66627} -{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.25681, "decode.acc_seg": 72.4891, "aux.loss_seg": 0.12741, "aux.acc_seg": 70.8971, "loss": 0.38422, "time": 0.66423} -{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.25236, "decode.acc_seg": 72.22535, "aux.loss_seg": 0.12167, "aux.acc_seg": 70.9032, "loss": 0.37403, "time": 0.6224} -{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.23763, "decode.acc_seg": 73.29958, "aux.loss_seg": 0.11517, "aux.acc_seg": 72.02691, "loss": 0.3528, "time": 0.65808} -{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.23793, "decode.acc_seg": 73.80611, "aux.loss_seg": 0.11657, "aux.acc_seg": 72.5214, "loss": 0.3545, "time": 0.67204} -{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 22752, "data_time": 0.00985, "decode.loss_seg": 0.25091, "decode.acc_seg": 73.60661, "aux.loss_seg": 0.12221, "aux.acc_seg": 72.31572, "loss": 0.37312, "time": 0.6371} -{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.22723, "decode.acc_seg": 72.1826, "aux.loss_seg": 0.10976, "aux.acc_seg": 70.9578, "loss": 0.33699, "time": 0.67362} -{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.25565, "decode.acc_seg": 73.54974, "aux.loss_seg": 0.12483, "aux.acc_seg": 72.21588, "loss": 0.38047, "time": 0.64482} -{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.24072, "decode.acc_seg": 73.84342, "aux.loss_seg": 0.11671, "aux.acc_seg": 72.57622, "loss": 0.35743, "time": 0.63738} -{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.24924, "decode.acc_seg": 73.92106, "aux.loss_seg": 0.12249, "aux.acc_seg": 72.4603, "loss": 0.37172, "time": 0.66929} -{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.23227, "decode.acc_seg": 72.55297, "aux.loss_seg": 0.11444, "aux.acc_seg": 71.24803, "loss": 0.3467, "time": 0.66331} -{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.25499, "decode.acc_seg": 72.18844, "aux.loss_seg": 0.12491, "aux.acc_seg": 70.72066, "loss": 0.3799, "time": 0.65644} -{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.24674, "decode.acc_seg": 72.52409, "aux.loss_seg": 0.11791, "aux.acc_seg": 71.30147, "loss": 0.36465, "time": 0.64562} -{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.25936, "decode.acc_seg": 72.9314, "aux.loss_seg": 0.12527, "aux.acc_seg": 71.59848, "loss": 0.38463, "time": 0.65107} -{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 22752, "data_time": 0.23209, "decode.loss_seg": 0.2679, "decode.acc_seg": 71.68392, "aux.loss_seg": 0.12845, "aux.acc_seg": 70.16347, "loss": 0.39636, "time": 0.87012} -{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.25199, "decode.acc_seg": 72.5729, "aux.loss_seg": 0.12222, "aux.acc_seg": 71.25537, "loss": 0.37421, "time": 0.66589} -{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.24311, "decode.acc_seg": 73.47016, "aux.loss_seg": 0.11924, "aux.acc_seg": 72.07136, "loss": 0.36235, "time": 0.65322} -{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.23875, "decode.acc_seg": 72.91436, "aux.loss_seg": 0.1164, "aux.acc_seg": 71.58968, "loss": 0.35515, "time": 0.64777} -{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.23915, "decode.acc_seg": 73.40641, "aux.loss_seg": 0.11749, "aux.acc_seg": 72.1565, "loss": 0.35665, "time": 0.65645} -{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.25049, "decode.acc_seg": 71.92592, "aux.loss_seg": 0.12402, "aux.acc_seg": 70.48473, "loss": 0.37451, "time": 0.67108} -{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.24091, "decode.acc_seg": 72.9475, "aux.loss_seg": 0.11958, "aux.acc_seg": 71.50566, "loss": 0.36049, "time": 0.66001} -{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.24817, "decode.acc_seg": 74.57909, "aux.loss_seg": 0.12254, "aux.acc_seg": 73.24428, "loss": 0.37071, "time": 0.66735} -{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.2451, "decode.acc_seg": 73.44795, "aux.loss_seg": 0.12095, "aux.acc_seg": 72.09455, "loss": 0.36605, "time": 0.67005} -{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.23403, "decode.acc_seg": 72.86947, "aux.loss_seg": 0.11687, "aux.acc_seg": 71.65927, "loss": 0.35091, "time": 0.67724} -{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.24043, "decode.acc_seg": 73.16588, "aux.loss_seg": 0.11759, "aux.acc_seg": 71.97273, "loss": 0.35801, "time": 0.64616} -{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.23412, "decode.acc_seg": 71.20798, "aux.loss_seg": 0.11478, "aux.acc_seg": 69.93615, "loss": 0.34889, "time": 0.67069} -{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.25624, "decode.acc_seg": 72.57435, "aux.loss_seg": 0.12181, "aux.acc_seg": 71.48444, "loss": 0.37805, "time": 0.66473} -{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.23032, "decode.acc_seg": 73.46628, "aux.loss_seg": 0.11374, "aux.acc_seg": 72.12474, "loss": 0.34406, "time": 0.6468} -{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.23446, "decode.acc_seg": 73.19708, "aux.loss_seg": 0.11624, "aux.acc_seg": 71.7785, "loss": 0.3507, "time": 0.65564} -{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.23316, "decode.acc_seg": 73.3201, "aux.loss_seg": 0.11447, "aux.acc_seg": 72.05868, "loss": 0.34762, "time": 0.68008} -{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.25, "decode.acc_seg": 73.28647, "aux.loss_seg": 0.12124, "aux.acc_seg": 72.00788, "loss": 0.37125, "time": 0.67204} -{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.24793, "decode.acc_seg": 72.88169, "aux.loss_seg": 0.12199, "aux.acc_seg": 71.50963, "loss": 0.36992, "time": 0.66261} -{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.23613, "decode.acc_seg": 73.77087, "aux.loss_seg": 0.11357, "aux.acc_seg": 72.65669, "loss": 0.34969, "time": 0.65775} -{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.23011, "decode.acc_seg": 72.72275, "aux.loss_seg": 0.11256, "aux.acc_seg": 71.45696, "loss": 0.34266, "time": 0.67299} -{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.25742, "decode.acc_seg": 71.3347, "aux.loss_seg": 0.12645, "aux.acc_seg": 69.94055, "loss": 0.38387, "time": 0.66731} -{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.23022, "decode.acc_seg": 72.40253, "aux.loss_seg": 0.11356, "aux.acc_seg": 71.02088, "loss": 0.34377, "time": 0.66038} -{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 22752, "data_time": 0.01078, "decode.loss_seg": 0.24975, "decode.acc_seg": 74.14582, "aux.loss_seg": 0.1213, "aux.acc_seg": 72.82745, "loss": 0.37105, "time": 0.67593} -{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.25943, "decode.acc_seg": 72.43461, "aux.loss_seg": 0.1258, "aux.acc_seg": 71.00509, "loss": 0.38523, "time": 0.66941} -{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.25057, "decode.acc_seg": 73.24767, "aux.loss_seg": 0.12421, "aux.acc_seg": 71.64791, "loss": 0.37478, "time": 0.67632} -{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.25941, "decode.acc_seg": 73.74031, "aux.loss_seg": 0.12642, "aux.acc_seg": 72.34537, "loss": 0.38584, "time": 0.64647} -{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 22752, "data_time": 0.23477, "decode.loss_seg": 0.22948, "decode.acc_seg": 72.49292, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.11505, "loss": 0.34343, "time": 0.88186} -{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.24021, "decode.acc_seg": 72.64144, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.38049, "loss": 0.35894, "time": 0.65491} -{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.23755, "decode.acc_seg": 72.96851, "aux.loss_seg": 0.11642, "aux.acc_seg": 71.7386, "loss": 0.35396, "time": 0.66775} -{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.24867, "decode.acc_seg": 72.45386, "aux.loss_seg": 0.1183, "aux.acc_seg": 71.29195, "loss": 0.36697, "time": 0.66948} -{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.21967, "decode.acc_seg": 73.1644, "aux.loss_seg": 0.11079, "aux.acc_seg": 71.82422, "loss": 0.33046, "time": 0.65414} -{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.24119, "decode.acc_seg": 72.85797, "aux.loss_seg": 0.11751, "aux.acc_seg": 71.51494, "loss": 0.3587, "time": 0.66824} -{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.24275, "decode.acc_seg": 73.12048, "aux.loss_seg": 0.11816, "aux.acc_seg": 71.74577, "loss": 0.36092, "time": 0.6575} -{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.24494, "decode.acc_seg": 73.14949, "aux.loss_seg": 0.12139, "aux.acc_seg": 71.62778, "loss": 0.36633, "time": 0.64989} -{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.23714, "decode.acc_seg": 72.99913, "aux.loss_seg": 0.11624, "aux.acc_seg": 71.79456, "loss": 0.35338, "time": 0.65346} -{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.24797, "decode.acc_seg": 72.9524, "aux.loss_seg": 0.12046, "aux.acc_seg": 71.51146, "loss": 0.36844, "time": 0.65327} -{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.22523, "decode.acc_seg": 72.30029, "aux.loss_seg": 0.11206, "aux.acc_seg": 70.99159, "loss": 0.33729, "time": 0.63933} -{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.24209, "decode.acc_seg": 73.74861, "aux.loss_seg": 0.11855, "aux.acc_seg": 72.35176, "loss": 0.36064, "time": 0.64235} -{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.23669, "decode.acc_seg": 72.24762, "aux.loss_seg": 0.11599, "aux.acc_seg": 70.91147, "loss": 0.35267, "time": 0.65392} -{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 22752, "data_time": 0.00777, "decode.loss_seg": 0.24875, "decode.acc_seg": 73.75394, "aux.loss_seg": 0.12179, "aux.acc_seg": 72.4372, "loss": 0.37055, "time": 0.65878} -{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.24721, "decode.acc_seg": 71.28422, "aux.loss_seg": 0.12109, "aux.acc_seg": 69.79753, "loss": 0.3683, "time": 0.65142} -{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.24291, "decode.acc_seg": 72.78763, "aux.loss_seg": 0.11889, "aux.acc_seg": 71.59291, "loss": 0.3618, "time": 0.65237} -{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4638, "mAcc": 0.5892, "aAcc": 0.8175, "IoU.wall": 0.7564, "IoU.building": 0.8127, "IoU.sky": 0.9358, "IoU.floor": 0.805, "IoU.tree": 0.7324, "IoU.ceiling": 0.8347, "IoU.road": 0.8142, "IoU.bed ": 0.8472, "IoU.windowpane": 0.5935, "IoU.grass": 0.7037, "IoU.cabinet": 0.5452, "IoU.sidewalk": 0.6136, "IoU.person": 0.7693, "IoU.earth": 0.3897, "IoU.door": 0.4588, "IoU.table": 0.5621, "IoU.mountain": 0.603, "IoU.plant": 0.5124, "IoU.curtain": 0.7038, "IoU.chair": 0.5256, "IoU.car": 0.8214, "IoU.water": 0.5566, "IoU.painting": 0.6696, "IoU.sofa": 0.5827, "IoU.shelf": 0.4181, "IoU.house": 0.4565, "IoU.sea": 0.5147, "IoU.mirror": 0.6429, "IoU.rug": 0.6448, "IoU.field": 0.3294, "IoU.armchair": 0.3306, "IoU.seat": 0.5971, "IoU.fence": 0.3669, "IoU.desk": 0.4121, "IoU.rock": 0.4761, "IoU.wardrobe": 0.4519, "IoU.lamp": 0.5763, "IoU.bathtub": 0.7183, "IoU.railing": 0.3544, "IoU.cushion": 0.501, "IoU.base": 0.2409, "IoU.box": 0.233, "IoU.column": 0.4717, "IoU.signboard": 0.3308, "IoU.chest of drawers": 0.2834, "IoU.counter": 0.24, "IoU.sand": 0.4262, "IoU.sink": 0.6602, "IoU.skyscraper": 0.5995, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6641, "IoU.grandstand": 0.4029, "IoU.path": 0.2086, "IoU.stairs": 0.2832, "IoU.runway": 0.7319, "IoU.case": 0.4507, "IoU.pool table": 0.8993, "IoU.pillow": 0.5191, "IoU.screen door": 0.7247, "IoU.stairway": 0.3537, "IoU.river": 0.0822, "IoU.bridge": 0.6643, "IoU.bookcase": 0.3882, "IoU.blind": NaN, "IoU.coffee table": 0.5243, "IoU.toilet": 0.7992, "IoU.flower": 0.417, "IoU.book": 0.4551, "IoU.hill": 0.1073, "IoU.bench": 0.4441, "IoU.countertop": 0.4625, "IoU.stove": 0.6794, "IoU.palm": 0.469, "IoU.kitchen island": 0.3371, "IoU.computer": 0.6533, "IoU.swivel chair": 0.4423, "IoU.boat": 0.4308, "IoU.bar": 0.2805, "IoU.arcade machine": 0.7775, "IoU.hovel": 0.2407, "IoU.bus": 0.8944, "IoU.towel": 0.6298, "IoU.light": 0.5447, "IoU.truck": 0.3748, "IoU.tower": 0.0939, "IoU.chandelier": 0.6036, "IoU.awning": 0.2192, "IoU.streetlight": 0.2208, "IoU.booth": 0.5614, "IoU.television receiver": NaN, "IoU.airplane": 0.5652, "IoU.dirt track": 0.0623, "IoU.apparel": 0.2684, "IoU.pole": 0.2139, "IoU.land": 0.0164, "IoU.bannister": 0.128, "IoU.escalator": 0.3339, "IoU.ottoman": 0.3805, "IoU.bottle": NaN, "IoU.buffet": 0.4028, "IoU.poster": 0.2615, "IoU.stage": 0.165, "IoU.van": 0.3903, "IoU.ship": 0.6196, "IoU.fountain": 0.381, "IoU.conveyer belt": 0.7494, "IoU.canopy": 0.1569, "IoU.washer": 0.7578, "IoU.plaything": 0.1832, "IoU.swimming pool": 0.5604, "IoU.stool": 0.349, "IoU.barrel": 0.5581, "IoU.basket": 0.2983, "IoU.waterfall": 0.7084, "IoU.tent": 0.8893, "IoU.bag": 0.0873, "IoU.minibike": 0.7575, "IoU.cradle": NaN, "IoU.oven": 0.2156, "IoU.ball": 0.4942, "IoU.food": 0.2707, "IoU.step": 0.1213, "IoU.tank": 0.4622, "IoU.trade name": 0.2831, "IoU.microwave": 0.3764, "IoU.pot": 0.4716, "IoU.animal": NaN, "IoU.bicycle": 0.5019, "IoU.lake": 0.6025, "IoU.dishwasher": 0.5363, "IoU.screen": 0.6538, "IoU.blanket": 0.1793, "IoU.sculpture": 0.5676, "IoU.hood": 0.572, "IoU.sconce": 0.4252, "IoU.vase": 0.3107, "IoU.traffic light": 0.2653, "IoU.tray": 0.0687, "IoU.ashcan": 0.3523, "IoU.fan": 0.5725, "IoU.pier": 0.215, "IoU.crt screen": 0.0454, "IoU.plate": 0.4914, "IoU.monitor": 0.1044, "IoU.bulletin board": 0.385, "IoU.shower": 0.0512, "IoU.radiator": 0.5491, "IoU.glass": 0.131, "IoU.clock": 0.3534, "IoU.flag": 0.4484, "Acc.wall": 0.8675, "Acc.building": 0.9199, "Acc.sky": 0.9741, "Acc.floor": 0.8925, "Acc.tree": 0.8538, "Acc.ceiling": 0.9102, "Acc.road": 0.8929, "Acc.bed ": 0.9475, "Acc.windowpane": 0.7657, "Acc.grass": 0.8404, "Acc.cabinet": 0.6636, "Acc.sidewalk": 0.7708, "Acc.person": 0.904, "Acc.earth": 0.5188, "Acc.door": 0.5807, "Acc.table": 0.7486, "Acc.mountain": 0.755, "Acc.plant": 0.6367, "Acc.curtain": 0.8446, "Acc.chair": 0.6636, "Acc.car": 0.9036, "Acc.water": 0.72, "Acc.painting": 0.8603, "Acc.sofa": 0.787, "Acc.shelf": 0.6538, "Acc.house": 0.6292, "Acc.sea": 0.6903, "Acc.mirror": 0.7441, "Acc.rug": 0.7292, "Acc.field": 0.5361, "Acc.armchair": 0.4871, "Acc.seat": 0.7558, "Acc.fence": 0.4875, "Acc.desk": 0.7193, "Acc.rock": 0.7548, "Acc.wardrobe": 0.5907, "Acc.lamp": 0.7376, "Acc.bathtub": 0.833, "Acc.railing": 0.4762, "Acc.cushion": 0.6792, "Acc.base": 0.3739, "Acc.box": 0.2928, "Acc.column": 0.6292, "Acc.signboard": 0.4535, "Acc.chest of drawers": 0.5227, "Acc.counter": 0.3053, "Acc.sand": 0.5972, "Acc.sink": 0.7541, "Acc.skyscraper": 0.7642, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8578, "Acc.grandstand": 0.7877, "Acc.path": 0.3062, "Acc.stairs": 0.3833, "Acc.runway": 0.9806, "Acc.case": 0.5252, "Acc.pool table": 0.9575, "Acc.pillow": 0.6137, "Acc.screen door": 0.842, "Acc.stairway": 0.4792, "Acc.river": 0.1342, "Acc.bridge": 0.7803, "Acc.bookcase": 0.4973, "Acc.blind": NaN, "Acc.coffee table": 0.7836, "Acc.toilet": 0.8878, "Acc.flower": 0.5459, "Acc.book": 0.6486, "Acc.hill": 0.1641, "Acc.bench": 0.5396, "Acc.countertop": 0.6239, "Acc.stove": 0.7661, "Acc.palm": 0.6857, "Acc.kitchen island": 0.8079, "Acc.computer": 0.8053, "Acc.swivel chair": 0.6319, "Acc.boat": 0.4986, "Acc.bar": 0.4037, "Acc.arcade machine": 0.8785, "Acc.hovel": 0.2796, "Acc.bus": 0.9562, "Acc.towel": 0.7502, "Acc.light": 0.6345, "Acc.truck": 0.4977, "Acc.tower": 0.1249, "Acc.chandelier": 0.7636, "Acc.awning": 0.2399, "Acc.streetlight": 0.2628, "Acc.booth": 0.6813, "Acc.television receiver": NaN, "Acc.airplane": 0.652, "Acc.dirt track": 0.24, "Acc.apparel": 0.4777, "Acc.pole": 0.3078, "Acc.land": 0.022, "Acc.bannister": 0.1919, "Acc.escalator": 0.5655, "Acc.ottoman": 0.5442, "Acc.bottle": NaN, "Acc.buffet": 0.4753, "Acc.poster": 0.3178, "Acc.stage": 0.2485, "Acc.van": 0.5092, "Acc.ship": 0.9257, "Acc.fountain": 0.391, "Acc.conveyer belt": 0.9235, "Acc.canopy": 0.2133, "Acc.washer": 0.7872, "Acc.plaything": 0.2378, "Acc.swimming pool": 0.8048, "Acc.stool": 0.4542, "Acc.barrel": 0.7063, "Acc.basket": 0.366, "Acc.waterfall": 0.906, "Acc.tent": 0.9795, "Acc.bag": 0.1032, "Acc.minibike": 0.8803, "Acc.cradle": NaN, "Acc.oven": 0.6411, "Acc.ball": 0.5791, "Acc.food": 0.288, "Acc.step": 0.1353, "Acc.tank": 0.5913, "Acc.trade name": 0.3194, "Acc.microwave": 0.4023, "Acc.pot": 0.5259, "Acc.animal": NaN, "Acc.bicycle": 0.6949, "Acc.lake": 0.6445, "Acc.dishwasher": 0.7108, "Acc.screen": 0.842, "Acc.blanket": 0.2219, "Acc.sculpture": 0.7059, "Acc.hood": 0.6591, "Acc.sconce": 0.5096, "Acc.vase": 0.393, "Acc.traffic light": 0.4184, "Acc.tray": 0.1229, "Acc.ashcan": 0.4685, "Acc.fan": 0.7541, "Acc.pier": 0.2267, "Acc.crt screen": 0.1468, "Acc.plate": 0.6756, "Acc.monitor": 0.1202, "Acc.bulletin board": 0.5023, "Acc.shower": 0.0578, "Acc.radiator": 0.7358, "Acc.glass": 0.1416, "Acc.clock": 0.4492, "Acc.flag": 0.5094} -{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 22752, "data_time": 1.59253, "decode.loss_seg": 0.23612, "decode.acc_seg": 73.00798, "aux.loss_seg": 0.1149, "aux.acc_seg": 71.79651, "loss": 0.35102, "time": 2.24734} -{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.23204, "decode.acc_seg": 72.60188, "aux.loss_seg": 0.11376, "aux.acc_seg": 71.3895, "loss": 0.3458, "time": 0.66233} -{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.24371, "decode.acc_seg": 72.79593, "aux.loss_seg": 0.12265, "aux.acc_seg": 71.31592, "loss": 0.36636, "time": 0.66937} -{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 22752, "data_time": 0.00784, "decode.loss_seg": 0.24686, "decode.acc_seg": 72.3548, "aux.loss_seg": 0.12113, "aux.acc_seg": 70.81445, "loss": 0.36799, "time": 0.6417} -{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.23486, "decode.acc_seg": 73.98683, "aux.loss_seg": 0.11548, "aux.acc_seg": 72.58619, "loss": 0.35034, "time": 0.67163} -{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.2517, "decode.acc_seg": 73.28634, "aux.loss_seg": 0.12467, "aux.acc_seg": 71.75507, "loss": 0.37636, "time": 0.67835} -{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.2391, "decode.acc_seg": 71.4939, "aux.loss_seg": 0.11782, "aux.acc_seg": 70.16883, "loss": 0.35692, "time": 0.66084} -{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.22449, "decode.acc_seg": 72.18678, "aux.loss_seg": 0.11034, "aux.acc_seg": 70.84812, "loss": 0.33483, "time": 0.6439} -{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 22752, "data_time": 0.22769, "decode.loss_seg": 0.2401, "decode.acc_seg": 72.87763, "aux.loss_seg": 0.11777, "aux.acc_seg": 71.41867, "loss": 0.35787, "time": 0.86396} -{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.25121, "decode.acc_seg": 72.65673, "aux.loss_seg": 0.12181, "aux.acc_seg": 71.34455, "loss": 0.37303, "time": 0.67006} -{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.22776, "decode.acc_seg": 73.85038, "aux.loss_seg": 0.1115, "aux.acc_seg": 72.63736, "loss": 0.33926, "time": 0.65434} -{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.22679, "decode.acc_seg": 72.84253, "aux.loss_seg": 0.11321, "aux.acc_seg": 71.52858, "loss": 0.34001, "time": 0.65736} -{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.22431, "decode.acc_seg": 73.33687, "aux.loss_seg": 0.11154, "aux.acc_seg": 72.00373, "loss": 0.33585, "time": 0.66847} -{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.22689, "decode.acc_seg": 72.66354, "aux.loss_seg": 0.11188, "aux.acc_seg": 71.32866, "loss": 0.33877, "time": 0.65817} -{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.2375, "decode.acc_seg": 72.97434, "aux.loss_seg": 0.118, "aux.acc_seg": 71.5151, "loss": 0.3555, "time": 0.66179} -{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.23319, "decode.acc_seg": 73.01337, "aux.loss_seg": 0.1147, "aux.acc_seg": 71.67991, "loss": 0.34789, "time": 0.65561} -{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.2244, "decode.acc_seg": 72.06767, "aux.loss_seg": 0.1115, "aux.acc_seg": 70.6661, "loss": 0.3359, "time": 0.67675} -{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.24016, "decode.acc_seg": 73.38164, "aux.loss_seg": 0.11908, "aux.acc_seg": 71.86168, "loss": 0.35924, "time": 0.6544} -{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.24695, "decode.acc_seg": 73.10678, "aux.loss_seg": 0.12175, "aux.acc_seg": 71.70272, "loss": 0.36871, "time": 0.65432} -{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.24518, "decode.acc_seg": 72.17154, "aux.loss_seg": 0.11972, "aux.acc_seg": 70.87323, "loss": 0.3649, "time": 0.66585} -{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.24029, "decode.acc_seg": 73.48284, "aux.loss_seg": 0.1173, "aux.acc_seg": 72.21245, "loss": 0.3576, "time": 0.67043} -{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.23368, "decode.acc_seg": 73.2491, "aux.loss_seg": 0.11489, "aux.acc_seg": 71.91297, "loss": 0.34856, "time": 0.66818} -{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.23418, "decode.acc_seg": 73.1415, "aux.loss_seg": 0.116, "aux.acc_seg": 71.73589, "loss": 0.35017, "time": 0.66575} -{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.24071, "decode.acc_seg": 73.03367, "aux.loss_seg": 0.11892, "aux.acc_seg": 71.64826, "loss": 0.35963, "time": 0.66675} -{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.24295, "decode.acc_seg": 73.75772, "aux.loss_seg": 0.11816, "aux.acc_seg": 72.42242, "loss": 0.3611, "time": 0.64127} -{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.24093, "decode.acc_seg": 72.5098, "aux.loss_seg": 0.11837, "aux.acc_seg": 71.10694, "loss": 0.3593, "time": 0.65645} -{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.23582, "decode.acc_seg": 74.13266, "aux.loss_seg": 0.11675, "aux.acc_seg": 72.61521, "loss": 0.35257, "time": 0.64293} -{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.23929, "decode.acc_seg": 72.86765, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.3299, "loss": 0.35803, "time": 0.64798} -{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.23798, "decode.acc_seg": 72.97552, "aux.loss_seg": 0.11637, "aux.acc_seg": 71.69892, "loss": 0.35436, "time": 0.65408} -{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.22833, "decode.acc_seg": 73.14519, "aux.loss_seg": 0.11158, "aux.acc_seg": 71.8874, "loss": 0.33991, "time": 0.65571} -{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.24254, "decode.acc_seg": 74.25145, "aux.loss_seg": 0.11746, "aux.acc_seg": 73.06561, "loss": 0.36001, "time": 0.64873} -{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.23761, "decode.acc_seg": 73.39977, "aux.loss_seg": 0.11603, "aux.acc_seg": 72.199, "loss": 0.35364, "time": 0.66987} -{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.23684, "decode.acc_seg": 73.37138, "aux.loss_seg": 0.11463, "aux.acc_seg": 72.19115, "loss": 0.35147, "time": 0.64541} -{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 22752, "data_time": 0.22918, "decode.loss_seg": 0.23746, "decode.acc_seg": 72.06085, "aux.loss_seg": 0.11444, "aux.acc_seg": 70.78534, "loss": 0.3519, "time": 0.8635} -{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.23246, "decode.acc_seg": 71.4997, "aux.loss_seg": 0.11559, "aux.acc_seg": 70.04786, "loss": 0.34805, "time": 0.67207} -{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.22499, "decode.acc_seg": 73.30935, "aux.loss_seg": 0.11245, "aux.acc_seg": 71.87552, "loss": 0.33744, "time": 0.66543} -{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.22267, "decode.acc_seg": 74.10838, "aux.loss_seg": 0.11075, "aux.acc_seg": 72.76026, "loss": 0.33343, "time": 0.66464} -{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.22532, "decode.acc_seg": 74.15894, "aux.loss_seg": 0.10948, "aux.acc_seg": 73.02618, "loss": 0.3348, "time": 0.66664} -{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.21862, "decode.acc_seg": 74.67133, "aux.loss_seg": 0.10652, "aux.acc_seg": 73.4807, "loss": 0.32514, "time": 0.66843} -{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.24838, "decode.acc_seg": 72.40906, "aux.loss_seg": 0.12067, "aux.acc_seg": 71.10689, "loss": 0.36905, "time": 0.65927} -{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.22887, "decode.acc_seg": 72.61788, "aux.loss_seg": 0.11545, "aux.acc_seg": 71.19367, "loss": 0.34432, "time": 0.67972} -{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.24051, "decode.acc_seg": 73.31295, "aux.loss_seg": 0.11733, "aux.acc_seg": 71.92037, "loss": 0.35784, "time": 0.67826} -{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.23347, "decode.acc_seg": 73.85665, "aux.loss_seg": 0.11636, "aux.acc_seg": 72.45767, "loss": 0.34983, "time": 0.67231} -{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.23549, "decode.acc_seg": 73.18542, "aux.loss_seg": 0.11607, "aux.acc_seg": 71.92596, "loss": 0.35156, "time": 0.64298} -{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.23743, "decode.acc_seg": 74.40207, "aux.loss_seg": 0.11642, "aux.acc_seg": 73.10454, "loss": 0.35385, "time": 0.67116} -{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.23557, "decode.acc_seg": 73.38025, "aux.loss_seg": 0.11672, "aux.acc_seg": 72.08127, "loss": 0.35229, "time": 0.64431} -{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.22879, "decode.acc_seg": 73.22238, "aux.loss_seg": 0.11275, "aux.acc_seg": 71.87075, "loss": 0.34154, "time": 0.66069} -{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 22752, "data_time": 0.00863, "decode.loss_seg": 0.22197, "decode.acc_seg": 71.41226, "aux.loss_seg": 0.10824, "aux.acc_seg": 70.21257, "loss": 0.33021, "time": 0.66614} -{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.23257, "decode.acc_seg": 73.18202, "aux.loss_seg": 0.11561, "aux.acc_seg": 71.75215, "loss": 0.34818, "time": 0.66333} -{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.23617, "decode.acc_seg": 73.29595, "aux.loss_seg": 0.1176, "aux.acc_seg": 71.80338, "loss": 0.35377, "time": 0.65487} -{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.24865, "decode.acc_seg": 74.15869, "aux.loss_seg": 0.12148, "aux.acc_seg": 72.84167, "loss": 0.37013, "time": 0.66089} -{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.24165, "decode.acc_seg": 72.79299, "aux.loss_seg": 0.11842, "aux.acc_seg": 71.36986, "loss": 0.36006, "time": 0.67123} -{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.2465, "decode.acc_seg": 72.21833, "aux.loss_seg": 0.12071, "aux.acc_seg": 70.67509, "loss": 0.36721, "time": 0.68123} -{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.2364, "decode.acc_seg": 73.99542, "aux.loss_seg": 0.11627, "aux.acc_seg": 72.74298, "loss": 0.35267, "time": 0.67119} -{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.23313, "decode.acc_seg": 72.78338, "aux.loss_seg": 0.11597, "aux.acc_seg": 71.34357, "loss": 0.3491, "time": 0.66621} -{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.23303, "decode.acc_seg": 72.90298, "aux.loss_seg": 0.11445, "aux.acc_seg": 71.5746, "loss": 0.34748, "time": 0.66055} -{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.24518, "decode.acc_seg": 74.233, "aux.loss_seg": 0.12288, "aux.acc_seg": 72.742, "loss": 0.36807, "time": 0.6702} -{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.24226, "decode.acc_seg": 72.73307, "aux.loss_seg": 0.1182, "aux.acc_seg": 71.35239, "loss": 0.36047, "time": 0.66835} -{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 22752, "data_time": 0.2275, "decode.loss_seg": 0.25943, "decode.acc_seg": 73.93111, "aux.loss_seg": 0.12667, "aux.acc_seg": 72.71767, "loss": 0.38609, "time": 0.86643} -{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.24778, "decode.acc_seg": 72.19168, "aux.loss_seg": 0.11855, "aux.acc_seg": 70.89484, "loss": 0.36633, "time": 0.64615} -{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.22998, "decode.acc_seg": 73.19212, "aux.loss_seg": 0.1123, "aux.acc_seg": 71.96871, "loss": 0.34229, "time": 0.64701} -{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.23052, "decode.acc_seg": 72.37118, "aux.loss_seg": 0.11547, "aux.acc_seg": 70.77513, "loss": 0.34599, "time": 0.6746} -{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.22973, "decode.acc_seg": 72.47454, "aux.loss_seg": 0.11452, "aux.acc_seg": 71.15636, "loss": 0.34426, "time": 0.66792} -{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.23807, "decode.acc_seg": 72.80731, "aux.loss_seg": 0.11726, "aux.acc_seg": 71.45137, "loss": 0.35533, "time": 0.64334} -{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.24081, "decode.acc_seg": 73.31376, "aux.loss_seg": 0.11996, "aux.acc_seg": 71.74303, "loss": 0.36077, "time": 0.65601} -{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.2279, "decode.acc_seg": 73.93795, "aux.loss_seg": 0.11272, "aux.acc_seg": 72.61896, "loss": 0.34062, "time": 0.66391} -{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.23887, "decode.acc_seg": 73.71068, "aux.loss_seg": 0.11806, "aux.acc_seg": 72.32733, "loss": 0.35693, "time": 0.66874} -{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.22241, "decode.acc_seg": 71.76066, "aux.loss_seg": 0.11039, "aux.acc_seg": 70.38857, "loss": 0.3328, "time": 0.65443} -{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.23167, "decode.acc_seg": 75.38798, "aux.loss_seg": 0.11446, "aux.acc_seg": 74.08184, "loss": 0.34613, "time": 0.65876} -{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.23885, "decode.acc_seg": 73.15754, "aux.loss_seg": 0.11625, "aux.acc_seg": 71.92547, "loss": 0.35511, "time": 0.66738} -{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.22622, "decode.acc_seg": 73.81868, "aux.loss_seg": 0.11125, "aux.acc_seg": 72.60121, "loss": 0.33747, "time": 0.66143} -{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.22761, "decode.acc_seg": 73.52531, "aux.loss_seg": 0.11059, "aux.acc_seg": 72.33297, "loss": 0.3382, "time": 0.65479} -{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.22768, "decode.acc_seg": 74.0943, "aux.loss_seg": 0.11289, "aux.acc_seg": 72.81253, "loss": 0.34056, "time": 0.65599} -{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.22246, "decode.acc_seg": 73.92414, "aux.loss_seg": 0.10909, "aux.acc_seg": 72.73468, "loss": 0.33156, "time": 0.65457} -{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.24176, "decode.acc_seg": 72.18431, "aux.loss_seg": 0.11982, "aux.acc_seg": 70.8572, "loss": 0.36159, "time": 0.67102} -{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.24051, "decode.acc_seg": 73.16787, "aux.loss_seg": 0.11965, "aux.acc_seg": 71.83574, "loss": 0.36016, "time": 0.64145} -{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.23007, "decode.acc_seg": 73.28704, "aux.loss_seg": 0.11476, "aux.acc_seg": 71.88309, "loss": 0.34482, "time": 0.66606} -{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.23842, "decode.acc_seg": 71.85412, "aux.loss_seg": 0.11884, "aux.acc_seg": 70.46399, "loss": 0.35726, "time": 0.67036} -{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.24513, "decode.acc_seg": 72.01027, "aux.loss_seg": 0.1209, "aux.acc_seg": 70.68773, "loss": 0.36602, "time": 0.6586} -{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.22713, "decode.acc_seg": 73.14248, "aux.loss_seg": 0.1091, "aux.acc_seg": 71.99903, "loss": 0.33623, "time": 0.66784} -{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.23256, "decode.acc_seg": 74.1005, "aux.loss_seg": 0.11475, "aux.acc_seg": 72.78314, "loss": 0.34731, "time": 0.65475} -{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.22752, "decode.acc_seg": 73.32043, "aux.loss_seg": 0.11381, "aux.acc_seg": 72.02501, "loss": 0.34133, "time": 0.67661} -{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.23526, "decode.acc_seg": 72.9741, "aux.loss_seg": 0.11592, "aux.acc_seg": 71.64958, "loss": 0.35118, "time": 0.67253} -{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 22752, "data_time": 0.00863, "decode.loss_seg": 0.2252, "decode.acc_seg": 73.26068, "aux.loss_seg": 0.11253, "aux.acc_seg": 71.81943, "loss": 0.33772, "time": 0.63888} -{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 22752, "data_time": 0.2311, "decode.loss_seg": 0.23049, "decode.acc_seg": 74.29925, "aux.loss_seg": 0.11345, "aux.acc_seg": 72.98557, "loss": 0.34394, "time": 0.89965} -{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.22906, "decode.acc_seg": 73.06222, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.95014, "loss": 0.34034, "time": 0.64231} -{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.21902, "decode.acc_seg": 73.63255, "aux.loss_seg": 0.1079, "aux.acc_seg": 72.28213, "loss": 0.32692, "time": 0.66323} -{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.22054, "decode.acc_seg": 73.34181, "aux.loss_seg": 0.1103, "aux.acc_seg": 72.02838, "loss": 0.33084, "time": 0.67277} -{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.20652, "decode.acc_seg": 73.14537, "aux.loss_seg": 0.10238, "aux.acc_seg": 71.84536, "loss": 0.3089, "time": 0.65847} -{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.21916, "decode.acc_seg": 74.12028, "aux.loss_seg": 0.10895, "aux.acc_seg": 72.81736, "loss": 0.32811, "time": 0.66337} -{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 22752, "data_time": 0.0079, "decode.loss_seg": 0.22735, "decode.acc_seg": 74.59725, "aux.loss_seg": 0.11425, "aux.acc_seg": 73.22662, "loss": 0.34161, "time": 0.67338} -{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.227, "decode.acc_seg": 73.92273, "aux.loss_seg": 0.1118, "aux.acc_seg": 72.46328, "loss": 0.33881, "time": 0.67163} -{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.23235, "decode.acc_seg": 72.56215, "aux.loss_seg": 0.11673, "aux.acc_seg": 71.11948, "loss": 0.34909, "time": 0.66234} -{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.22503, "decode.acc_seg": 73.01407, "aux.loss_seg": 0.11323, "aux.acc_seg": 71.67751, "loss": 0.33826, "time": 0.66922} -{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.24302, "decode.acc_seg": 74.68797, "aux.loss_seg": 0.12133, "aux.acc_seg": 73.27764, "loss": 0.36435, "time": 0.66938} -{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.2187, "decode.acc_seg": 73.10665, "aux.loss_seg": 0.10793, "aux.acc_seg": 71.82318, "loss": 0.32663, "time": 0.64846} -{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.21413, "decode.acc_seg": 72.79546, "aux.loss_seg": 0.10537, "aux.acc_seg": 71.63801, "loss": 0.31949, "time": 0.66115} -{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.22487, "decode.acc_seg": 72.88041, "aux.loss_seg": 0.10989, "aux.acc_seg": 71.61539, "loss": 0.33476, "time": 0.67073} -{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.23534, "decode.acc_seg": 72.71855, "aux.loss_seg": 0.116, "aux.acc_seg": 71.37665, "loss": 0.35134, "time": 0.65804} -{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.2247, "decode.acc_seg": 73.30567, "aux.loss_seg": 0.11154, "aux.acc_seg": 71.95479, "loss": 0.33624, "time": 0.67367} -{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 22752, "data_time": 0.00794, "decode.loss_seg": 0.23358, "decode.acc_seg": 72.94331, "aux.loss_seg": 0.11418, "aux.acc_seg": 71.54614, "loss": 0.34776, "time": 0.65477} -{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.24668, "decode.acc_seg": 72.89623, "aux.loss_seg": 0.12352, "aux.acc_seg": 71.35701, "loss": 0.3702, "time": 0.65961} -{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.22755, "decode.acc_seg": 73.06504, "aux.loss_seg": 0.1109, "aux.acc_seg": 71.88242, "loss": 0.33844, "time": 0.6779} -{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.22977, "decode.acc_seg": 71.91805, "aux.loss_seg": 0.11374, "aux.acc_seg": 70.55703, "loss": 0.34351, "time": 0.67098} -{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.22219, "decode.acc_seg": 74.06757, "aux.loss_seg": 0.11136, "aux.acc_seg": 72.68433, "loss": 0.33354, "time": 0.65437} -{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.21866, "decode.acc_seg": 73.14415, "aux.loss_seg": 0.10963, "aux.acc_seg": 71.75044, "loss": 0.32829, "time": 0.6396} -{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.23263, "decode.acc_seg": 74.29404, "aux.loss_seg": 0.11551, "aux.acc_seg": 73.01374, "loss": 0.34814, "time": 0.65542} -{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.23221, "decode.acc_seg": 73.00902, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.71082, "loss": 0.34606, "time": 0.65209} -{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.21971, "decode.acc_seg": 73.67994, "aux.loss_seg": 0.10829, "aux.acc_seg": 72.35012, "loss": 0.328, "time": 0.67108} -{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 22752, "data_time": 0.2334, "decode.loss_seg": 0.21904, "decode.acc_seg": 73.48914, "aux.loss_seg": 0.10944, "aux.acc_seg": 72.18683, "loss": 0.32849, "time": 0.87065} -{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.23144, "decode.acc_seg": 73.93188, "aux.loss_seg": 0.1147, "aux.acc_seg": 72.51612, "loss": 0.34615, "time": 0.67679} -{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.23336, "decode.acc_seg": 72.59244, "aux.loss_seg": 0.11535, "aux.acc_seg": 71.32946, "loss": 0.34871, "time": 0.67769} -{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.22582, "decode.acc_seg": 74.06261, "aux.loss_seg": 0.11546, "aux.acc_seg": 72.49422, "loss": 0.34128, "time": 0.66404} -{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.22654, "decode.acc_seg": 74.00967, "aux.loss_seg": 0.1124, "aux.acc_seg": 72.58316, "loss": 0.33893, "time": 0.65617} -{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.22487, "decode.acc_seg": 72.60964, "aux.loss_seg": 0.11195, "aux.acc_seg": 71.16536, "loss": 0.33682, "time": 0.66638} -{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.22761, "decode.acc_seg": 74.97352, "aux.loss_seg": 0.114, "aux.acc_seg": 73.5294, "loss": 0.34161, "time": 0.66979} -{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.22714, "decode.acc_seg": 73.07892, "aux.loss_seg": 0.11123, "aux.acc_seg": 71.82668, "loss": 0.33836, "time": 0.64523} -{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.22859, "decode.acc_seg": 72.86626, "aux.loss_seg": 0.11594, "aux.acc_seg": 71.34431, "loss": 0.34453, "time": 0.65882} -{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.21848, "decode.acc_seg": 74.03183, "aux.loss_seg": 0.10925, "aux.acc_seg": 72.57808, "loss": 0.32773, "time": 0.65761} -{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.23011, "decode.acc_seg": 73.46147, "aux.loss_seg": 0.11312, "aux.acc_seg": 72.24299, "loss": 0.34322, "time": 0.65921} -{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.22638, "decode.acc_seg": 74.29684, "aux.loss_seg": 0.11166, "aux.acc_seg": 73.00774, "loss": 0.33805, "time": 0.6686} -{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.22376, "decode.acc_seg": 72.79152, "aux.loss_seg": 0.11138, "aux.acc_seg": 71.27349, "loss": 0.33514, "time": 0.67099} -{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.2175, "decode.acc_seg": 73.96605, "aux.loss_seg": 0.10774, "aux.acc_seg": 72.73839, "loss": 0.32524, "time": 0.66044} -{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.21818, "decode.acc_seg": 72.12796, "aux.loss_seg": 0.10814, "aux.acc_seg": 70.86636, "loss": 0.32632, "time": 0.67434} -{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.22138, "decode.acc_seg": 74.14131, "aux.loss_seg": 0.10973, "aux.acc_seg": 72.88816, "loss": 0.33111, "time": 0.67285} -{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.21999, "decode.acc_seg": 73.70897, "aux.loss_seg": 0.1093, "aux.acc_seg": 72.42481, "loss": 0.32929, "time": 0.65054} -{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.21406, "decode.acc_seg": 71.83689, "aux.loss_seg": 0.10453, "aux.acc_seg": 70.62809, "loss": 0.31859, "time": 0.67531} -{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.22096, "decode.acc_seg": 73.90924, "aux.loss_seg": 0.11005, "aux.acc_seg": 72.53517, "loss": 0.33101, "time": 0.67277} -{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.23125, "decode.acc_seg": 73.21773, "aux.loss_seg": 0.11277, "aux.acc_seg": 71.99064, "loss": 0.34402, "time": 0.6637} -{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.23813, "decode.acc_seg": 72.55164, "aux.loss_seg": 0.11939, "aux.acc_seg": 71.0271, "loss": 0.35752, "time": 0.65356} -{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.24166, "decode.acc_seg": 73.5816, "aux.loss_seg": 0.11794, "aux.acc_seg": 72.28094, "loss": 0.3596, "time": 0.6576} -{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.22585, "decode.acc_seg": 73.37103, "aux.loss_seg": 0.11097, "aux.acc_seg": 71.94331, "loss": 0.33682, "time": 0.65132} -{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 22752, "data_time": 0.01066, "decode.loss_seg": 0.22627, "decode.acc_seg": 72.18397, "aux.loss_seg": 0.11289, "aux.acc_seg": 70.9417, "loss": 0.33916, "time": 0.66419} -{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.23297, "decode.acc_seg": 72.5518, "aux.loss_seg": 0.11612, "aux.acc_seg": 71.16554, "loss": 0.3491, "time": 0.65799} -{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 22752, "data_time": 0.23113, "decode.loss_seg": 0.23489, "decode.acc_seg": 72.8369, "aux.loss_seg": 0.11533, "aux.acc_seg": 71.61991, "loss": 0.35022, "time": 0.88742} -{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.2182, "decode.acc_seg": 74.78661, "aux.loss_seg": 0.11021, "aux.acc_seg": 73.44953, "loss": 0.32841, "time": 0.62938} -{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.23342, "decode.acc_seg": 74.74602, "aux.loss_seg": 0.1142, "aux.acc_seg": 73.62892, "loss": 0.34761, "time": 0.66735} -{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.23519, "decode.acc_seg": 73.12277, "aux.loss_seg": 0.11603, "aux.acc_seg": 71.7107, "loss": 0.35122, "time": 0.67187} -{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.22161, "decode.acc_seg": 75.66568, "aux.loss_seg": 0.10954, "aux.acc_seg": 74.45209, "loss": 0.33115, "time": 0.66732} -{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.21355, "decode.acc_seg": 72.3741, "aux.loss_seg": 0.10903, "aux.acc_seg": 70.96082, "loss": 0.32258, "time": 0.66706} -{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.22777, "decode.acc_seg": 73.90649, "aux.loss_seg": 0.1135, "aux.acc_seg": 72.69603, "loss": 0.34127, "time": 0.65989} -{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.21516, "decode.acc_seg": 72.99503, "aux.loss_seg": 0.10558, "aux.acc_seg": 71.7202, "loss": 0.32074, "time": 0.66983} -{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.21647, "decode.acc_seg": 74.51742, "aux.loss_seg": 0.10797, "aux.acc_seg": 73.15234, "loss": 0.32444, "time": 0.64895} -{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.23635, "decode.acc_seg": 73.34407, "aux.loss_seg": 0.11573, "aux.acc_seg": 72.02029, "loss": 0.35208, "time": 0.64114} -{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.20818, "decode.acc_seg": 73.17716, "aux.loss_seg": 0.10274, "aux.acc_seg": 71.90846, "loss": 0.31091, "time": 0.66525} -{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.22879, "decode.acc_seg": 74.38153, "aux.loss_seg": 0.11259, "aux.acc_seg": 73.10519, "loss": 0.34138, "time": 0.66643} -{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.22248, "decode.acc_seg": 73.02987, "aux.loss_seg": 0.11119, "aux.acc_seg": 71.61928, "loss": 0.33367, "time": 0.65133} -{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.2514, "decode.acc_seg": 72.78239, "aux.loss_seg": 0.12178, "aux.acc_seg": 71.36342, "loss": 0.37318, "time": 0.65046} -{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.221, "decode.acc_seg": 73.21034, "aux.loss_seg": 0.10942, "aux.acc_seg": 71.78225, "loss": 0.33042, "time": 0.64608} -{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.21606, "decode.acc_seg": 72.92988, "aux.loss_seg": 0.1086, "aux.acc_seg": 71.43565, "loss": 0.32466, "time": 0.65833} -{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.22767, "decode.acc_seg": 74.77898, "aux.loss_seg": 0.11338, "aux.acc_seg": 73.39538, "loss": 0.34105, "time": 0.66708} -{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.24141, "decode.acc_seg": 73.21915, "aux.loss_seg": 0.11856, "aux.acc_seg": 71.85281, "loss": 0.35997, "time": 0.67103} -{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.23533, "decode.acc_seg": 74.65931, "aux.loss_seg": 0.11516, "aux.acc_seg": 73.38679, "loss": 0.35048, "time": 0.64389} -{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.23306, "decode.acc_seg": 73.60272, "aux.loss_seg": 0.11699, "aux.acc_seg": 72.14399, "loss": 0.35004, "time": 0.63965} -{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.20927, "decode.acc_seg": 72.40446, "aux.loss_seg": 0.10767, "aux.acc_seg": 70.94007, "loss": 0.31694, "time": 0.65765} -{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.2268, "decode.acc_seg": 73.72785, "aux.loss_seg": 0.11183, "aux.acc_seg": 72.3591, "loss": 0.33862, "time": 0.6521} -{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.23651, "decode.acc_seg": 74.15559, "aux.loss_seg": 0.11534, "aux.acc_seg": 72.75592, "loss": 0.35185, "time": 0.66126} -{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.23171, "decode.acc_seg": 73.0814, "aux.loss_seg": 0.1154, "aux.acc_seg": 71.63385, "loss": 0.34711, "time": 0.65657} -{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.21962, "decode.acc_seg": 74.06796, "aux.loss_seg": 0.10825, "aux.acc_seg": 72.8602, "loss": 0.32786, "time": 0.6592} -{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 22752, "data_time": 0.23289, "decode.loss_seg": 0.22731, "decode.acc_seg": 73.88875, "aux.loss_seg": 0.11332, "aux.acc_seg": 72.49592, "loss": 0.34063, "time": 0.87823} -{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.21091, "decode.acc_seg": 73.67191, "aux.loss_seg": 0.10714, "aux.acc_seg": 72.14929, "loss": 0.31806, "time": 0.66605} -{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 22752, "data_time": 0.01128, "decode.loss_seg": 0.22522, "decode.acc_seg": 73.12284, "aux.loss_seg": 0.11318, "aux.acc_seg": 71.70264, "loss": 0.3384, "time": 0.6612} -{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.21376, "decode.acc_seg": 74.02692, "aux.loss_seg": 0.10623, "aux.acc_seg": 72.68704, "loss": 0.31999, "time": 0.64257} -{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 22752, "data_time": 0.01063, "decode.loss_seg": 0.20856, "decode.acc_seg": 73.77356, "aux.loss_seg": 0.10678, "aux.acc_seg": 72.38186, "loss": 0.31534, "time": 0.6643} -{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 22752, "data_time": 0.01063, "decode.loss_seg": 0.22616, "decode.acc_seg": 73.63086, "aux.loss_seg": 0.11192, "aux.acc_seg": 72.36018, "loss": 0.33808, "time": 0.6707} -{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.20888, "decode.acc_seg": 74.86433, "aux.loss_seg": 0.10393, "aux.acc_seg": 73.67199, "loss": 0.31281, "time": 0.66155} -{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 22752, "data_time": 0.01035, "decode.loss_seg": 0.21925, "decode.acc_seg": 73.31268, "aux.loss_seg": 0.11075, "aux.acc_seg": 71.81184, "loss": 0.33, "time": 0.66727} -{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.2084, "decode.acc_seg": 73.84112, "aux.loss_seg": 0.10248, "aux.acc_seg": 72.59949, "loss": 0.31088, "time": 0.64808} -{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.2208, "decode.acc_seg": 73.1397, "aux.loss_seg": 0.10944, "aux.acc_seg": 71.79806, "loss": 0.33023, "time": 0.65275} -{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.22696, "decode.acc_seg": 71.98762, "aux.loss_seg": 0.11169, "aux.acc_seg": 70.72468, "loss": 0.33865, "time": 0.66} -{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.2246, "decode.acc_seg": 74.03691, "aux.loss_seg": 0.11159, "aux.acc_seg": 72.72209, "loss": 0.33619, "time": 0.67843} -{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.21582, "decode.acc_seg": 73.75335, "aux.loss_seg": 0.10821, "aux.acc_seg": 72.34114, "loss": 0.32403, "time": 0.66686} -{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.21735, "decode.acc_seg": 72.74638, "aux.loss_seg": 0.10684, "aux.acc_seg": 71.52471, "loss": 0.32419, "time": 0.67013} -{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.23035, "decode.acc_seg": 73.45275, "aux.loss_seg": 0.1127, "aux.acc_seg": 72.30191, "loss": 0.34305, "time": 0.67638} -{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.2118, "decode.acc_seg": 72.64025, "aux.loss_seg": 0.10735, "aux.acc_seg": 71.26249, "loss": 0.31915, "time": 0.65895} -{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.214, "decode.acc_seg": 75.39907, "aux.loss_seg": 0.10674, "aux.acc_seg": 74.06385, "loss": 0.32074, "time": 0.64839} -{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.21654, "decode.acc_seg": 72.02806, "aux.loss_seg": 0.10894, "aux.acc_seg": 70.64753, "loss": 0.32548, "time": 0.64929} -{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.2467, "decode.acc_seg": 72.81033, "aux.loss_seg": 0.11861, "aux.acc_seg": 71.36721, "loss": 0.36531, "time": 0.6692} -{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.23631, "decode.acc_seg": 73.19091, "aux.loss_seg": 0.11644, "aux.acc_seg": 71.78262, "loss": 0.35275, "time": 0.65005} -{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.22127, "decode.acc_seg": 73.89487, "aux.loss_seg": 0.109, "aux.acc_seg": 72.65765, "loss": 0.33028, "time": 0.65169} -{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.22943, "decode.acc_seg": 73.62391, "aux.loss_seg": 0.11264, "aux.acc_seg": 72.30313, "loss": 0.34207, "time": 0.65707} -{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.20873, "decode.acc_seg": 75.36835, "aux.loss_seg": 0.1044, "aux.acc_seg": 74.00923, "loss": 0.31314, "time": 0.65192} -{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.20075, "decode.acc_seg": 73.11723, "aux.loss_seg": 0.10183, "aux.acc_seg": 71.74308, "loss": 0.30257, "time": 0.67959} -{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.22037, "decode.acc_seg": 72.61742, "aux.loss_seg": 0.10788, "aux.acc_seg": 71.46565, "loss": 0.32825, "time": 0.68982} -{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.22627, "decode.acc_seg": 73.05764, "aux.loss_seg": 0.11228, "aux.acc_seg": 71.66103, "loss": 0.33855, "time": 0.67775} -{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 22752, "data_time": 0.23173, "decode.loss_seg": 0.20843, "decode.acc_seg": 73.96484, "aux.loss_seg": 0.10372, "aux.acc_seg": 72.62169, "loss": 0.31215, "time": 0.8954} -{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.2269, "decode.acc_seg": 74.14807, "aux.loss_seg": 0.11245, "aux.acc_seg": 72.83464, "loss": 0.33934, "time": 0.66365} -{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.19819, "decode.acc_seg": 73.12035, "aux.loss_seg": 0.10119, "aux.acc_seg": 71.80365, "loss": 0.29938, "time": 0.65363} -{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.20831, "decode.acc_seg": 72.71508, "aux.loss_seg": 0.10414, "aux.acc_seg": 71.35436, "loss": 0.31244, "time": 0.67327} -{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.20564, "decode.acc_seg": 75.29777, "aux.loss_seg": 0.10194, "aux.acc_seg": 74.11505, "loss": 0.30759, "time": 0.67469} -{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.20881, "decode.acc_seg": 74.62269, "aux.loss_seg": 0.10461, "aux.acc_seg": 73.22649, "loss": 0.31343, "time": 0.66253} -{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 22752, "data_time": 0.00873, "decode.loss_seg": 0.21368, "decode.acc_seg": 72.81433, "aux.loss_seg": 0.10553, "aux.acc_seg": 71.53533, "loss": 0.31921, "time": 0.65145} -{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.22622, "decode.acc_seg": 72.70731, "aux.loss_seg": 0.11242, "aux.acc_seg": 71.2723, "loss": 0.33863, "time": 0.67305} -{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.22144, "decode.acc_seg": 73.80549, "aux.loss_seg": 0.11082, "aux.acc_seg": 72.39258, "loss": 0.33226, "time": 0.67034} -{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.21163, "decode.acc_seg": 74.44146, "aux.loss_seg": 0.10684, "aux.acc_seg": 73.07691, "loss": 0.31847, "time": 0.67405} -{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.21419, "decode.acc_seg": 73.50287, "aux.loss_seg": 0.10784, "aux.acc_seg": 72.04699, "loss": 0.32203, "time": 0.65879} -{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.2064, "decode.acc_seg": 74.10488, "aux.loss_seg": 0.10394, "aux.acc_seg": 72.66909, "loss": 0.31034, "time": 0.66991} -{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.21372, "decode.acc_seg": 73.89004, "aux.loss_seg": 0.10671, "aux.acc_seg": 72.54739, "loss": 0.32042, "time": 0.64267} -{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.2199, "decode.acc_seg": 71.40517, "aux.loss_seg": 0.11205, "aux.acc_seg": 69.91523, "loss": 0.33195, "time": 0.64139} -{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.22204, "decode.acc_seg": 74.32764, "aux.loss_seg": 0.10945, "aux.acc_seg": 72.93679, "loss": 0.33149, "time": 0.65538} -{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.2316, "decode.acc_seg": 73.90989, "aux.loss_seg": 0.11389, "aux.acc_seg": 72.62103, "loss": 0.34549, "time": 0.65518} -{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.2265, "decode.acc_seg": 73.36352, "aux.loss_seg": 0.11212, "aux.acc_seg": 72.02472, "loss": 0.33862, "time": 0.67151} -{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.21644, "decode.acc_seg": 73.19213, "aux.loss_seg": 0.10891, "aux.acc_seg": 71.77742, "loss": 0.32535, "time": 0.67713} -{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.20559, "decode.acc_seg": 72.30245, "aux.loss_seg": 0.10323, "aux.acc_seg": 71.00711, "loss": 0.30882, "time": 0.67381} -{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.22966, "decode.acc_seg": 73.91963, "aux.loss_seg": 0.11461, "aux.acc_seg": 72.43916, "loss": 0.34427, "time": 0.65647} -{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.22551, "decode.acc_seg": 72.94975, "aux.loss_seg": 0.11129, "aux.acc_seg": 71.76612, "loss": 0.3368, "time": 0.66613} -{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.2202, "decode.acc_seg": 73.86683, "aux.loss_seg": 0.10866, "aux.acc_seg": 72.45857, "loss": 0.32886, "time": 0.65265} -{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.20745, "decode.acc_seg": 74.42305, "aux.loss_seg": 0.10379, "aux.acc_seg": 73.13808, "loss": 0.31124, "time": 0.6366} -{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.21656, "decode.acc_seg": 74.41785, "aux.loss_seg": 0.10864, "aux.acc_seg": 73.05636, "loss": 0.3252, "time": 0.66688} -{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.23118, "decode.acc_seg": 72.11021, "aux.loss_seg": 0.11308, "aux.acc_seg": 70.81043, "loss": 0.34427, "time": 0.65687} -{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 22752, "data_time": 0.24, "decode.loss_seg": 0.21403, "decode.acc_seg": 74.3928, "aux.loss_seg": 0.10763, "aux.acc_seg": 73.05079, "loss": 0.32166, "time": 0.89749} -{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.21801, "decode.acc_seg": 74.89275, "aux.loss_seg": 0.10961, "aux.acc_seg": 73.47338, "loss": 0.32762, "time": 0.63852} -{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.22564, "decode.acc_seg": 74.4346, "aux.loss_seg": 0.11247, "aux.acc_seg": 73.03701, "loss": 0.33811, "time": 0.65035} -{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.21637, "decode.acc_seg": 72.37072, "aux.loss_seg": 0.10665, "aux.acc_seg": 71.04577, "loss": 0.32302, "time": 0.67554} -{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.2181, "decode.acc_seg": 74.14168, "aux.loss_seg": 0.10643, "aux.acc_seg": 72.94328, "loss": 0.32453, "time": 0.67631} -{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.21436, "decode.acc_seg": 74.73106, "aux.loss_seg": 0.1076, "aux.acc_seg": 73.24929, "loss": 0.32196, "time": 0.6728} -{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.22096, "decode.acc_seg": 71.96258, "aux.loss_seg": 0.1098, "aux.acc_seg": 70.63481, "loss": 0.33076, "time": 0.67279} -{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.23082, "decode.acc_seg": 72.81882, "aux.loss_seg": 0.11194, "aux.acc_seg": 71.60463, "loss": 0.34276, "time": 0.64286} -{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.21391, "decode.acc_seg": 72.9514, "aux.loss_seg": 0.1076, "aux.acc_seg": 71.5888, "loss": 0.32151, "time": 0.65792} -{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.21466, "decode.acc_seg": 73.33254, "aux.loss_seg": 0.1061, "aux.acc_seg": 72.12781, "loss": 0.32076, "time": 0.66745} -{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.22487, "decode.acc_seg": 73.4702, "aux.loss_seg": 0.11236, "aux.acc_seg": 72.07125, "loss": 0.33723, "time": 0.6582} -{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.21152, "decode.acc_seg": 74.08733, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.81966, "loss": 0.31746, "time": 0.65763} -{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.20216, "decode.acc_seg": 74.28249, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.92798, "loss": 0.30462, "time": 0.64673} -{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.20409, "decode.acc_seg": 73.05018, "aux.loss_seg": 0.10136, "aux.acc_seg": 71.88435, "loss": 0.30544, "time": 0.64013} -{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.23223, "decode.acc_seg": 73.47784, "aux.loss_seg": 0.11377, "aux.acc_seg": 72.18461, "loss": 0.346, "time": 0.66424} -{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.21015, "decode.acc_seg": 73.44342, "aux.loss_seg": 0.10557, "aux.acc_seg": 72.10176, "loss": 0.31572, "time": 0.66893} -{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.23046, "decode.acc_seg": 74.35022, "aux.loss_seg": 0.11498, "aux.acc_seg": 72.95841, "loss": 0.34544, "time": 0.64661} -{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.20887, "decode.acc_seg": 72.57175, "aux.loss_seg": 0.10577, "aux.acc_seg": 71.16862, "loss": 0.31463, "time": 0.64237} -{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.2143, "decode.acc_seg": 73.57794, "aux.loss_seg": 0.10674, "aux.acc_seg": 72.29998, "loss": 0.32104, "time": 0.67293} -{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.22471, "decode.acc_seg": 73.62099, "aux.loss_seg": 0.11078, "aux.acc_seg": 72.25002, "loss": 0.33549, "time": 0.66293} -{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.20964, "decode.acc_seg": 75.07145, "aux.loss_seg": 0.10556, "aux.acc_seg": 73.7192, "loss": 0.3152, "time": 0.67021} -{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.21618, "decode.acc_seg": 74.24893, "aux.loss_seg": 0.10809, "aux.acc_seg": 72.89396, "loss": 0.32426, "time": 0.64499} -{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.22921, "decode.acc_seg": 74.71942, "aux.loss_seg": 0.11615, "aux.acc_seg": 73.16402, "loss": 0.34536, "time": 0.66019} -{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.21395, "decode.acc_seg": 73.64294, "aux.loss_seg": 0.10548, "aux.acc_seg": 72.43055, "loss": 0.31943, "time": 0.63733} -{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.22605, "decode.acc_seg": 73.31959, "aux.loss_seg": 0.11128, "aux.acc_seg": 72.04797, "loss": 0.33733, "time": 0.66402} -{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 22752, "data_time": 0.22709, "decode.loss_seg": 0.20015, "decode.acc_seg": 72.83384, "aux.loss_seg": 0.10139, "aux.acc_seg": 71.29019, "loss": 0.30154, "time": 0.88567} -{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.20728, "decode.acc_seg": 74.0034, "aux.loss_seg": 0.10245, "aux.acc_seg": 72.71827, "loss": 0.30973, "time": 0.65911} -{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.22178, "decode.acc_seg": 73.42774, "aux.loss_seg": 0.11067, "aux.acc_seg": 72.01287, "loss": 0.33244, "time": 0.64878} -{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.23211, "decode.acc_seg": 74.70411, "aux.loss_seg": 0.11394, "aux.acc_seg": 73.40615, "loss": 0.34604, "time": 0.66265} -{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.22295, "decode.acc_seg": 73.31096, "aux.loss_seg": 0.11093, "aux.acc_seg": 71.98954, "loss": 0.33388, "time": 0.67066} -{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.19971, "decode.acc_seg": 74.58645, "aux.loss_seg": 0.10173, "aux.acc_seg": 73.21149, "loss": 0.30144, "time": 0.6537} -{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 22752, "data_time": 0.00828, "decode.loss_seg": 0.20724, "decode.acc_seg": 73.80667, "aux.loss_seg": 0.10408, "aux.acc_seg": 72.47875, "loss": 0.31132, "time": 0.65671} -{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.21035, "decode.acc_seg": 72.30506, "aux.loss_seg": 0.10493, "aux.acc_seg": 70.8825, "loss": 0.31527, "time": 0.65302} -{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.21292, "decode.acc_seg": 73.9405, "aux.loss_seg": 0.10466, "aux.acc_seg": 72.66566, "loss": 0.31758, "time": 0.67204} -{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.21401, "decode.acc_seg": 74.8344, "aux.loss_seg": 0.1072, "aux.acc_seg": 73.44708, "loss": 0.32121, "time": 0.66983} -{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 22752, "data_time": 0.00799, "decode.loss_seg": 0.20152, "decode.acc_seg": 73.16397, "aux.loss_seg": 0.09943, "aux.acc_seg": 71.95815, "loss": 0.30095, "time": 0.66118} -{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.20167, "decode.acc_seg": 73.74106, "aux.loss_seg": 0.10159, "aux.acc_seg": 72.3619, "loss": 0.30326, "time": 0.66147} -{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.21289, "decode.acc_seg": 72.93813, "aux.loss_seg": 0.10919, "aux.acc_seg": 71.41136, "loss": 0.32208, "time": 0.67382} -{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.197, "decode.acc_seg": 74.20307, "aux.loss_seg": 0.0997, "aux.acc_seg": 72.88648, "loss": 0.29669, "time": 0.65174} -{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.22198, "decode.acc_seg": 75.15717, "aux.loss_seg": 0.11478, "aux.acc_seg": 73.48379, "loss": 0.33676, "time": 0.66708} -{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.22114, "decode.acc_seg": 73.5481, "aux.loss_seg": 0.11046, "aux.acc_seg": 71.97145, "loss": 0.3316, "time": 0.67906} -{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.21813, "decode.acc_seg": 73.22372, "aux.loss_seg": 0.11067, "aux.acc_seg": 71.66753, "loss": 0.32881, "time": 0.65495} -{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.20787, "decode.acc_seg": 71.91683, "aux.loss_seg": 0.10561, "aux.acc_seg": 70.58351, "loss": 0.31349, "time": 0.66304} -{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.21339, "decode.acc_seg": 73.60692, "aux.loss_seg": 0.10763, "aux.acc_seg": 72.18588, "loss": 0.32102, "time": 0.66855} -{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.22606, "decode.acc_seg": 74.7137, "aux.loss_seg": 0.1112, "aux.acc_seg": 73.3923, "loss": 0.33726, "time": 0.67263} -{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.21312, "decode.acc_seg": 74.31939, "aux.loss_seg": 0.10601, "aux.acc_seg": 72.97161, "loss": 0.31914, "time": 0.6573} -{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.22033, "decode.acc_seg": 73.18334, "aux.loss_seg": 0.11022, "aux.acc_seg": 71.81937, "loss": 0.33054, "time": 0.67164} -{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.22031, "decode.acc_seg": 73.73872, "aux.loss_seg": 0.10968, "aux.acc_seg": 72.41069, "loss": 0.33, "time": 0.65896} -{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.22702, "decode.acc_seg": 74.67108, "aux.loss_seg": 0.11349, "aux.acc_seg": 73.19707, "loss": 0.34051, "time": 0.65776} -{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.2197, "decode.acc_seg": 73.27582, "aux.loss_seg": 0.10849, "aux.acc_seg": 71.96843, "loss": 0.32819, "time": 0.6651} -{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 22752, "data_time": 0.23614, "decode.loss_seg": 0.21817, "decode.acc_seg": 73.90347, "aux.loss_seg": 0.10876, "aux.acc_seg": 72.57391, "loss": 0.32693, "time": 0.88858} -{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.21424, "decode.acc_seg": 74.28247, "aux.loss_seg": 0.10694, "aux.acc_seg": 73.09241, "loss": 0.32118, "time": 0.65864} -{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.21577, "decode.acc_seg": 74.28591, "aux.loss_seg": 0.10739, "aux.acc_seg": 72.92314, "loss": 0.32316, "time": 0.67307} -{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.21732, "decode.acc_seg": 74.55675, "aux.loss_seg": 0.10901, "aux.acc_seg": 73.04968, "loss": 0.32633, "time": 0.66069} -{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.21103, "decode.acc_seg": 72.71682, "aux.loss_seg": 0.10596, "aux.acc_seg": 71.47865, "loss": 0.31699, "time": 0.63801} -{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.20696, "decode.acc_seg": 73.46093, "aux.loss_seg": 0.10334, "aux.acc_seg": 72.16098, "loss": 0.3103, "time": 0.66351} -{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.20247, "decode.acc_seg": 74.11411, "aux.loss_seg": 0.10208, "aux.acc_seg": 72.75033, "loss": 0.30456, "time": 0.64804} -{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 22752, "data_time": 0.00812, "decode.loss_seg": 0.21132, "decode.acc_seg": 74.89431, "aux.loss_seg": 0.10532, "aux.acc_seg": 73.58612, "loss": 0.31664, "time": 0.66853} -{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.21745, "decode.acc_seg": 73.64373, "aux.loss_seg": 0.10742, "aux.acc_seg": 72.3505, "loss": 0.32487, "time": 0.66531} -{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.20087, "decode.acc_seg": 73.63211, "aux.loss_seg": 0.10172, "aux.acc_seg": 72.30352, "loss": 0.30259, "time": 0.66138} -{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.21278, "decode.acc_seg": 73.71115, "aux.loss_seg": 0.10555, "aux.acc_seg": 72.49038, "loss": 0.31833, "time": 0.66848} -{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.21139, "decode.acc_seg": 73.61903, "aux.loss_seg": 0.10505, "aux.acc_seg": 72.30964, "loss": 0.31643, "time": 0.65276} -{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.20274, "decode.acc_seg": 72.59194, "aux.loss_seg": 0.10214, "aux.acc_seg": 71.28809, "loss": 0.30488, "time": 0.67242} -{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.21923, "decode.acc_seg": 73.19886, "aux.loss_seg": 0.1092, "aux.acc_seg": 71.79022, "loss": 0.32843, "time": 0.6401} -{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.21365, "decode.acc_seg": 74.19023, "aux.loss_seg": 0.10677, "aux.acc_seg": 72.88416, "loss": 0.32041, "time": 0.66697} -{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.2084, "decode.acc_seg": 73.63848, "aux.loss_seg": 0.10563, "aux.acc_seg": 72.30481, "loss": 0.31403, "time": 0.63732} -{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.20537, "decode.acc_seg": 72.59568, "aux.loss_seg": 0.10428, "aux.acc_seg": 71.1846, "loss": 0.30965, "time": 0.67835} -{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.21767, "decode.acc_seg": 74.73404, "aux.loss_seg": 0.1084, "aux.acc_seg": 73.45039, "loss": 0.32607, "time": 0.67794} -{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.20355, "decode.acc_seg": 73.82883, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.51077, "loss": 0.30706, "time": 0.66835} -{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 22752, "data_time": 0.01048, "decode.loss_seg": 0.2142, "decode.acc_seg": 75.0248, "aux.loss_seg": 0.10907, "aux.acc_seg": 73.51462, "loss": 0.32327, "time": 0.67472} -{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.20636, "decode.acc_seg": 73.87134, "aux.loss_seg": 0.10405, "aux.acc_seg": 72.46651, "loss": 0.31041, "time": 0.64346} -{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.21402, "decode.acc_seg": 74.54891, "aux.loss_seg": 0.10755, "aux.acc_seg": 73.22099, "loss": 0.32157, "time": 0.67046} -{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.20927, "decode.acc_seg": 73.5785, "aux.loss_seg": 0.10581, "aux.acc_seg": 72.05307, "loss": 0.31508, "time": 0.66197} -{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.2051, "decode.acc_seg": 72.55099, "aux.loss_seg": 0.10278, "aux.acc_seg": 71.27151, "loss": 0.30788, "time": 0.64417} -{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.19961, "decode.acc_seg": 72.86795, "aux.loss_seg": 0.10123, "aux.acc_seg": 71.53206, "loss": 0.30084, "time": 0.64414} -{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.21742, "decode.acc_seg": 74.46194, "aux.loss_seg": 0.10856, "aux.acc_seg": 73.11798, "loss": 0.32597, "time": 0.66917} -{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 22752, "data_time": 0.23639, "decode.loss_seg": 0.22109, "decode.acc_seg": 73.17066, "aux.loss_seg": 0.10905, "aux.acc_seg": 71.83688, "loss": 0.33015, "time": 0.88728} -{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.20885, "decode.acc_seg": 74.07012, "aux.loss_seg": 0.10448, "aux.acc_seg": 72.74029, "loss": 0.31334, "time": 0.66826} -{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.20224, "decode.acc_seg": 75.19389, "aux.loss_seg": 0.10434, "aux.acc_seg": 73.65095, "loss": 0.30658, "time": 0.66891} -{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 22752, "data_time": 0.01041, "decode.loss_seg": 0.20337, "decode.acc_seg": 75.11343, "aux.loss_seg": 0.10111, "aux.acc_seg": 73.94295, "loss": 0.30449, "time": 0.64998} -{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.19475, "decode.acc_seg": 74.60267, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.30404, "loss": 0.29242, "time": 0.66786} -{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 22752, "data_time": 0.01077, "decode.loss_seg": 0.20436, "decode.acc_seg": 74.0614, "aux.loss_seg": 0.10397, "aux.acc_seg": 72.72168, "loss": 0.30833, "time": 0.66202} -{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.21725, "decode.acc_seg": 73.50355, "aux.loss_seg": 0.10908, "aux.acc_seg": 72.1628, "loss": 0.32633, "time": 0.66004} -{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.20776, "decode.acc_seg": 75.55894, "aux.loss_seg": 0.10507, "aux.acc_seg": 74.19745, "loss": 0.31283, "time": 0.66752} -{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.20494, "decode.acc_seg": 74.75121, "aux.loss_seg": 0.10233, "aux.acc_seg": 73.44114, "loss": 0.30727, "time": 0.66904} -{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.20872, "decode.acc_seg": 75.51299, "aux.loss_seg": 0.1073, "aux.acc_seg": 73.97071, "loss": 0.31602, "time": 0.66695} -{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.2061, "decode.acc_seg": 72.63885, "aux.loss_seg": 0.10513, "aux.acc_seg": 71.17202, "loss": 0.31123, "time": 0.66407} -{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.20487, "decode.acc_seg": 74.30923, "aux.loss_seg": 0.10274, "aux.acc_seg": 72.99974, "loss": 0.30761, "time": 0.66946} -{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 22752, "data_time": 0.01072, "decode.loss_seg": 0.21361, "decode.acc_seg": 74.36391, "aux.loss_seg": 0.10775, "aux.acc_seg": 73.01045, "loss": 0.32136, "time": 0.67813} -{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.20605, "decode.acc_seg": 73.81383, "aux.loss_seg": 0.10493, "aux.acc_seg": 72.34761, "loss": 0.31098, "time": 0.64544} -{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.20681, "decode.acc_seg": 73.59529, "aux.loss_seg": 0.1054, "aux.acc_seg": 72.17819, "loss": 0.31221, "time": 0.67239} -{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 22752, "data_time": 0.01107, "decode.loss_seg": 0.21528, "decode.acc_seg": 73.47795, "aux.loss_seg": 0.10849, "aux.acc_seg": 72.02442, "loss": 0.32377, "time": 0.66749} -{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.19917, "decode.acc_seg": 73.36119, "aux.loss_seg": 0.10028, "aux.acc_seg": 71.98312, "loss": 0.29944, "time": 0.67198} -{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.19726, "decode.acc_seg": 74.21878, "aux.loss_seg": 0.10008, "aux.acc_seg": 72.90362, "loss": 0.29735, "time": 0.6412} -{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.20456, "decode.acc_seg": 73.85953, "aux.loss_seg": 0.10285, "aux.acc_seg": 72.53471, "loss": 0.30741, "time": 0.67316} -{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.10416, "aux.loss_seg": 0.10774, "aux.acc_seg": 71.72139, "loss": 0.32368, "time": 0.67065} -{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.2086, "decode.acc_seg": 74.63592, "aux.loss_seg": 0.1043, "aux.acc_seg": 73.36362, "loss": 0.3129, "time": 0.64262} -{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.21224, "decode.acc_seg": 73.97418, "aux.loss_seg": 0.10502, "aux.acc_seg": 72.64314, "loss": 0.31727, "time": 0.65638} -{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.21524, "decode.acc_seg": 73.39552, "aux.loss_seg": 0.10724, "aux.acc_seg": 72.20055, "loss": 0.32248, "time": 0.65111} -{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.22074, "decode.acc_seg": 74.07352, "aux.loss_seg": 0.11081, "aux.acc_seg": 72.71229, "loss": 0.33155, "time": 0.64633} -{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.21918, "decode.acc_seg": 74.60819, "aux.loss_seg": 0.10848, "aux.acc_seg": 73.25773, "loss": 0.32766, "time": 0.62872} -{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 22752, "data_time": 0.23204, "decode.loss_seg": 0.20213, "decode.acc_seg": 73.27092, "aux.loss_seg": 0.10193, "aux.acc_seg": 71.87197, "loss": 0.30406, "time": 0.85319} -{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.18912, "decode.acc_seg": 73.22311, "aux.loss_seg": 0.09477, "aux.acc_seg": 72.03471, "loss": 0.28389, "time": 0.66932} -{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.21251, "decode.acc_seg": 73.92671, "aux.loss_seg": 0.10501, "aux.acc_seg": 72.56647, "loss": 0.31752, "time": 0.6545} -{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.22332, "decode.acc_seg": 74.48028, "aux.loss_seg": 0.11264, "aux.acc_seg": 72.98992, "loss": 0.33596, "time": 0.66929} -{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.20447, "decode.acc_seg": 74.25724, "aux.loss_seg": 0.10277, "aux.acc_seg": 72.9027, "loss": 0.30724, "time": 0.66684} -{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.20819, "decode.acc_seg": 72.38522, "aux.loss_seg": 0.10386, "aux.acc_seg": 71.18903, "loss": 0.31206, "time": 0.67406} -{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.21105, "decode.acc_seg": 74.23538, "aux.loss_seg": 0.10758, "aux.acc_seg": 72.80327, "loss": 0.31863, "time": 0.6649} -{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.2097, "decode.acc_seg": 75.345, "aux.loss_seg": 0.10444, "aux.acc_seg": 74.07727, "loss": 0.31414, "time": 0.64189} -{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4744, "mAcc": 0.5975, "aAcc": 0.8223, "IoU.wall": 0.7604, "IoU.building": 0.819, "IoU.sky": 0.9379, "IoU.floor": 0.8121, "IoU.tree": 0.7295, "IoU.ceiling": 0.8437, "IoU.road": 0.8249, "IoU.bed ": 0.8597, "IoU.windowpane": 0.6045, "IoU.grass": 0.6729, "IoU.cabinet": 0.5787, "IoU.sidewalk": 0.6316, "IoU.person": 0.774, "IoU.earth": 0.3725, "IoU.door": 0.453, "IoU.table": 0.5725, "IoU.mountain": 0.5997, "IoU.plant": 0.4886, "IoU.curtain": 0.6964, "IoU.chair": 0.5154, "IoU.car": 0.822, "IoU.water": 0.5476, "IoU.painting": 0.7143, "IoU.sofa": 0.6025, "IoU.shelf": 0.4161, "IoU.house": 0.4706, "IoU.sea": 0.5367, "IoU.mirror": 0.6381, "IoU.rug": 0.684, "IoU.field": 0.3295, "IoU.armchair": 0.3682, "IoU.seat": 0.5884, "IoU.fence": 0.4696, "IoU.desk": 0.4697, "IoU.rock": 0.4685, "IoU.wardrobe": 0.4829, "IoU.lamp": 0.5813, "IoU.bathtub": 0.747, "IoU.railing": 0.3139, "IoU.cushion": 0.5061, "IoU.base": 0.2451, "IoU.box": 0.2293, "IoU.column": 0.4474, "IoU.signboard": 0.3412, "IoU.chest of drawers": 0.3401, "IoU.counter": 0.2248, "IoU.sand": 0.4096, "IoU.sink": 0.6853, "IoU.skyscraper": 0.5896, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7398, "IoU.grandstand": 0.4142, "IoU.path": 0.2378, "IoU.stairs": 0.2772, "IoU.runway": 0.7208, "IoU.case": 0.497, "IoU.pool table": 0.9116, "IoU.pillow": 0.5654, "IoU.screen door": 0.6875, "IoU.stairway": 0.3022, "IoU.river": 0.1902, "IoU.bridge": 0.6946, "IoU.bookcase": 0.442, "IoU.blind": NaN, "IoU.coffee table": 0.5497, "IoU.toilet": 0.8253, "IoU.flower": 0.39, "IoU.book": 0.4515, "IoU.hill": 0.1548, "IoU.bench": 0.4306, "IoU.countertop": 0.5182, "IoU.stove": 0.7209, "IoU.palm": 0.4983, "IoU.kitchen island": 0.4081, "IoU.computer": 0.5934, "IoU.swivel chair": 0.4211, "IoU.boat": 0.3704, "IoU.bar": 0.5017, "IoU.arcade machine": 0.6583, "IoU.hovel": 0.0682, "IoU.bus": 0.8546, "IoU.towel": 0.6613, "IoU.light": 0.5369, "IoU.truck": 0.3619, "IoU.tower": 0.2057, "IoU.chandelier": 0.6327, "IoU.awning": 0.2762, "IoU.streetlight": 0.2045, "IoU.booth": 0.5865, "IoU.television receiver": NaN, "IoU.airplane": 0.5412, "IoU.dirt track": 0.2044, "IoU.apparel": 0.2664, "IoU.pole": 0.1797, "IoU.land": 0.0389, "IoU.bannister": 0.1149, "IoU.escalator": 0.2866, "IoU.ottoman": 0.375, "IoU.bottle": NaN, "IoU.buffet": 0.457, "IoU.poster": 0.3458, "IoU.stage": 0.1775, "IoU.van": 0.3573, "IoU.ship": 0.6017, "IoU.fountain": 0.293, "IoU.conveyer belt": 0.7085, "IoU.canopy": 0.1938, "IoU.washer": 0.782, "IoU.plaything": 0.2173, "IoU.swimming pool": 0.7751, "IoU.stool": 0.3689, "IoU.barrel": 0.5557, "IoU.basket": 0.3345, "IoU.waterfall": 0.6032, "IoU.tent": 0.937, "IoU.bag": 0.1004, "IoU.minibike": 0.7312, "IoU.cradle": NaN, "IoU.oven": 0.4278, "IoU.ball": 0.2964, "IoU.food": 0.4067, "IoU.step": 0.0924, "IoU.tank": 0.5069, "IoU.trade name": 0.2355, "IoU.microwave": 0.7776, "IoU.pot": 0.5065, "IoU.animal": NaN, "IoU.bicycle": 0.5107, "IoU.lake": 0.5268, "IoU.dishwasher": 0.5631, "IoU.screen": 0.5503, "IoU.blanket": 0.1235, "IoU.sculpture": 0.5408, "IoU.hood": 0.5441, "IoU.sconce": 0.4432, "IoU.vase": 0.3204, "IoU.traffic light": 0.2785, "IoU.tray": 0.0799, "IoU.ashcan": 0.3677, "IoU.fan": 0.5333, "IoU.pier": 0.336, "IoU.crt screen": 0.0406, "IoU.plate": 0.5308, "IoU.monitor": 0.117, "IoU.bulletin board": 0.4057, "IoU.shower": 0.0342, "IoU.radiator": 0.5113, "IoU.glass": 0.1152, "IoU.clock": 0.2537, "IoU.flag": 0.4182, "Acc.wall": 0.8794, "Acc.building": 0.9216, "Acc.sky": 0.9713, "Acc.floor": 0.8948, "Acc.tree": 0.8693, "Acc.ceiling": 0.9204, "Acc.road": 0.8833, "Acc.bed ": 0.9386, "Acc.windowpane": 0.756, "Acc.grass": 0.8118, "Acc.cabinet": 0.7525, "Acc.sidewalk": 0.8287, "Acc.person": 0.9028, "Acc.earth": 0.5163, "Acc.door": 0.5703, "Acc.table": 0.7555, "Acc.mountain": 0.7221, "Acc.plant": 0.5888, "Acc.curtain": 0.8166, "Acc.chair": 0.6277, "Acc.car": 0.9126, "Acc.water": 0.7072, "Acc.painting": 0.854, "Acc.sofa": 0.8029, "Acc.shelf": 0.6123, "Acc.house": 0.6054, "Acc.sea": 0.7726, "Acc.mirror": 0.6969, "Acc.rug": 0.7813, "Acc.field": 0.5636, "Acc.armchair": 0.5669, "Acc.seat": 0.7923, "Acc.fence": 0.6103, "Acc.desk": 0.678, "Acc.rock": 0.7421, "Acc.wardrobe": 0.6444, "Acc.lamp": 0.7159, "Acc.bathtub": 0.8147, "Acc.railing": 0.4379, "Acc.cushion": 0.618, "Acc.base": 0.3423, "Acc.box": 0.2903, "Acc.column": 0.5499, "Acc.signboard": 0.4441, "Acc.chest of drawers": 0.4895, "Acc.counter": 0.272, "Acc.sand": 0.5927, "Acc.sink": 0.7684, "Acc.skyscraper": 0.7525, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8671, "Acc.grandstand": 0.7164, "Acc.path": 0.3315, "Acc.stairs": 0.381, "Acc.runway": 0.9536, "Acc.case": 0.6234, "Acc.pool table": 0.9516, "Acc.pillow": 0.7116, "Acc.screen door": 0.7779, "Acc.stairway": 0.3802, "Acc.river": 0.2973, "Acc.bridge": 0.8443, "Acc.bookcase": 0.536, "Acc.blind": NaN, "Acc.coffee table": 0.8098, "Acc.toilet": 0.899, "Acc.flower": 0.6363, "Acc.book": 0.6319, "Acc.hill": 0.1968, "Acc.bench": 0.4761, "Acc.countertop": 0.6451, "Acc.stove": 0.8152, "Acc.palm": 0.7468, "Acc.kitchen island": 0.7805, "Acc.computer": 0.7055, "Acc.swivel chair": 0.661, "Acc.boat": 0.5303, "Acc.bar": 0.7233, "Acc.arcade machine": 0.7066, "Acc.hovel": 0.08, "Acc.bus": 0.9645, "Acc.towel": 0.8027, "Acc.light": 0.5963, "Acc.truck": 0.5068, "Acc.tower": 0.3269, "Acc.chandelier": 0.7912, "Acc.awning": 0.3162, "Acc.streetlight": 0.269, "Acc.booth": 0.704, "Acc.television receiver": NaN, "Acc.airplane": 0.6634, "Acc.dirt track": 0.3234, "Acc.apparel": 0.4197, "Acc.pole": 0.2437, "Acc.land": 0.0521, "Acc.bannister": 0.1506, "Acc.escalator": 0.3994, "Acc.ottoman": 0.5476, "Acc.bottle": NaN, "Acc.buffet": 0.5283, "Acc.poster": 0.4208, "Acc.stage": 0.3317, "Acc.van": 0.4836, "Acc.ship": 0.9583, "Acc.fountain": 0.2974, "Acc.conveyer belt": 0.9232, "Acc.canopy": 0.299, "Acc.washer": 0.8224, "Acc.plaything": 0.3005, "Acc.swimming pool": 0.8382, "Acc.stool": 0.5388, "Acc.barrel": 0.7511, "Acc.basket": 0.4198, "Acc.waterfall": 0.7852, "Acc.tent": 0.9779, "Acc.bag": 0.1311, "Acc.minibike": 0.9013, "Acc.cradle": NaN, "Acc.oven": 0.5653, "Acc.ball": 0.423, "Acc.food": 0.4633, "Acc.step": 0.0959, "Acc.tank": 0.5843, "Acc.trade name": 0.2584, "Acc.microwave": 0.9037, "Acc.pot": 0.5515, "Acc.animal": NaN, "Acc.bicycle": 0.7252, "Acc.lake": 0.6367, "Acc.dishwasher": 0.7093, "Acc.screen": 0.7214, "Acc.blanket": 0.142, "Acc.sculpture": 0.6303, "Acc.hood": 0.704, "Acc.sconce": 0.5442, "Acc.vase": 0.4624, "Acc.traffic light": 0.452, "Acc.tray": 0.1138, "Acc.ashcan": 0.4828, "Acc.fan": 0.6627, "Acc.pier": 0.578, "Acc.crt screen": 0.133, "Acc.plate": 0.6727, "Acc.monitor": 0.1583, "Acc.bulletin board": 0.4932, "Acc.shower": 0.0633, "Acc.radiator": 0.6417, "Acc.glass": 0.1223, "Acc.clock": 0.3049, "Acc.flag": 0.4803} -{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 22752, "data_time": 1.58893, "decode.loss_seg": 0.21926, "decode.acc_seg": 71.48085, "aux.loss_seg": 0.11173, "aux.acc_seg": 70.00281, "loss": 0.33099, "time": 2.22721} -{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.21055, "decode.acc_seg": 73.61476, "aux.loss_seg": 0.10637, "aux.acc_seg": 72.24036, "loss": 0.31692, "time": 0.66244} -{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.20848, "decode.acc_seg": 74.6494, "aux.loss_seg": 0.10275, "aux.acc_seg": 73.48913, "loss": 0.31123, "time": 0.6492} -{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.2066, "decode.acc_seg": 72.93845, "aux.loss_seg": 0.10394, "aux.acc_seg": 71.53009, "loss": 0.31055, "time": 0.65367} -{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.20427, "decode.acc_seg": 73.67816, "aux.loss_seg": 0.10244, "aux.acc_seg": 72.267, "loss": 0.30671, "time": 0.66825} -{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.20725, "decode.acc_seg": 74.24791, "aux.loss_seg": 0.10456, "aux.acc_seg": 72.91886, "loss": 0.31181, "time": 0.67235} -{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.20044, "decode.acc_seg": 73.99423, "aux.loss_seg": 0.10072, "aux.acc_seg": 72.72743, "loss": 0.30116, "time": 0.66054} -{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.21733, "decode.acc_seg": 73.01309, "aux.loss_seg": 0.10907, "aux.acc_seg": 71.71514, "loss": 0.3264, "time": 0.67147} -{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.21497, "decode.acc_seg": 73.81173, "aux.loss_seg": 0.10606, "aux.acc_seg": 72.48469, "loss": 0.32103, "time": 0.65887} -{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.20338, "decode.acc_seg": 71.97352, "aux.loss_seg": 0.10232, "aux.acc_seg": 70.59474, "loss": 0.3057, "time": 0.65672} -{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.22071, "decode.acc_seg": 72.67404, "aux.loss_seg": 0.11074, "aux.acc_seg": 71.26766, "loss": 0.33145, "time": 0.65442} -{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.21402, "decode.acc_seg": 74.1658, "aux.loss_seg": 0.10633, "aux.acc_seg": 72.86894, "loss": 0.32035, "time": 0.67088} -{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.22323, "decode.acc_seg": 73.76871, "aux.loss_seg": 0.11071, "aux.acc_seg": 72.53809, "loss": 0.33394, "time": 0.63977} -{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.22557, "decode.acc_seg": 72.68727, "aux.loss_seg": 0.11066, "aux.acc_seg": 71.27208, "loss": 0.33623, "time": 0.66783} -{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.22152, "decode.acc_seg": 75.39762, "aux.loss_seg": 0.11025, "aux.acc_seg": 74.05359, "loss": 0.33178, "time": 0.66929} -{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.20256, "decode.acc_seg": 74.05088, "aux.loss_seg": 0.10136, "aux.acc_seg": 72.80137, "loss": 0.30392, "time": 0.67134} -{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 22752, "data_time": 0.23496, "decode.loss_seg": 0.21316, "decode.acc_seg": 73.99703, "aux.loss_seg": 0.10696, "aux.acc_seg": 72.60584, "loss": 0.32011, "time": 0.90115} -{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.19968, "decode.acc_seg": 73.00765, "aux.loss_seg": 0.10176, "aux.acc_seg": 71.6472, "loss": 0.30145, "time": 0.6511} -{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.20315, "decode.acc_seg": 74.40687, "aux.loss_seg": 0.10363, "aux.acc_seg": 72.96773, "loss": 0.30679, "time": 0.67411} -{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.19863, "decode.acc_seg": 75.08699, "aux.loss_seg": 0.10034, "aux.acc_seg": 73.76541, "loss": 0.29897, "time": 0.65683} -{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.21856, "decode.acc_seg": 74.03325, "aux.loss_seg": 0.1104, "aux.acc_seg": 72.65291, "loss": 0.32897, "time": 0.63555} -{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.19484, "decode.acc_seg": 72.03836, "aux.loss_seg": 0.09934, "aux.acc_seg": 70.62079, "loss": 0.29418, "time": 0.67044} -{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.21155, "decode.acc_seg": 74.01416, "aux.loss_seg": 0.10629, "aux.acc_seg": 72.66781, "loss": 0.31784, "time": 0.66684} -{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.20302, "decode.acc_seg": 74.41056, "aux.loss_seg": 0.10287, "aux.acc_seg": 72.93789, "loss": 0.30589, "time": 0.66302} -{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.20471, "decode.acc_seg": 73.62181, "aux.loss_seg": 0.10323, "aux.acc_seg": 72.12849, "loss": 0.30795, "time": 0.62773} -{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.20465, "decode.acc_seg": 73.557, "aux.loss_seg": 0.10199, "aux.acc_seg": 72.19262, "loss": 0.30664, "time": 0.63348} -{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.19479, "decode.acc_seg": 74.38738, "aux.loss_seg": 0.09797, "aux.acc_seg": 73.13303, "loss": 0.29276, "time": 0.6576} -{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.19378, "decode.acc_seg": 74.02679, "aux.loss_seg": 0.09788, "aux.acc_seg": 72.84505, "loss": 0.29166, "time": 0.64334} -{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.20567, "decode.acc_seg": 72.71815, "aux.loss_seg": 0.10365, "aux.acc_seg": 71.44362, "loss": 0.30933, "time": 0.63546} -{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.21195, "decode.acc_seg": 74.05635, "aux.loss_seg": 0.1051, "aux.acc_seg": 72.69828, "loss": 0.31704, "time": 0.63907} -{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.21871, "decode.acc_seg": 75.00723, "aux.loss_seg": 0.10975, "aux.acc_seg": 73.55396, "loss": 0.32846, "time": 0.67777} -{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.2019, "decode.acc_seg": 74.21198, "aux.loss_seg": 0.10095, "aux.acc_seg": 72.82457, "loss": 0.30285, "time": 0.65794} -{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.20461, "decode.acc_seg": 72.64127, "aux.loss_seg": 0.10252, "aux.acc_seg": 71.36048, "loss": 0.30714, "time": 0.65725} -{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.20532, "decode.acc_seg": 74.35213, "aux.loss_seg": 0.10521, "aux.acc_seg": 72.79701, "loss": 0.31053, "time": 0.66782} -{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.21583, "decode.acc_seg": 74.79725, "aux.loss_seg": 0.10666, "aux.acc_seg": 73.42011, "loss": 0.32248, "time": 0.67556} -{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.20092, "decode.acc_seg": 73.90256, "aux.loss_seg": 0.10097, "aux.acc_seg": 72.57463, "loss": 0.30189, "time": 0.66801} -{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.20272, "decode.acc_seg": 74.22913, "aux.loss_seg": 0.101, "aux.acc_seg": 73.02863, "loss": 0.30373, "time": 0.67037} -{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.21341, "decode.acc_seg": 74.66654, "aux.loss_seg": 0.10755, "aux.acc_seg": 73.40638, "loss": 0.32096, "time": 0.67973} -{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.21265, "decode.acc_seg": 74.35215, "aux.loss_seg": 0.10605, "aux.acc_seg": 73.0872, "loss": 0.3187, "time": 0.6533} -{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.20797, "decode.acc_seg": 74.52995, "aux.loss_seg": 0.10417, "aux.acc_seg": 73.23174, "loss": 0.31214, "time": 0.65059} -{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.20283, "decode.acc_seg": 72.98219, "aux.loss_seg": 0.10244, "aux.acc_seg": 71.61929, "loss": 0.30527, "time": 0.66868} -{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 22752, "data_time": 0.23268, "decode.loss_seg": 0.23005, "decode.acc_seg": 73.38677, "aux.loss_seg": 0.11145, "aux.acc_seg": 72.1287, "loss": 0.3415, "time": 0.87658} -{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.23098, "decode.acc_seg": 73.03722, "aux.loss_seg": 0.11265, "aux.acc_seg": 71.77473, "loss": 0.34363, "time": 0.65184} -{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 22752, "data_time": 0.00828, "decode.loss_seg": 0.20099, "decode.acc_seg": 73.67441, "aux.loss_seg": 0.10076, "aux.acc_seg": 72.34048, "loss": 0.30175, "time": 0.64445} -{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.20614, "decode.acc_seg": 72.74515, "aux.loss_seg": 0.10294, "aux.acc_seg": 71.52607, "loss": 0.30908, "time": 0.65507} -{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.20686, "decode.acc_seg": 74.87223, "aux.loss_seg": 0.10384, "aux.acc_seg": 73.46822, "loss": 0.3107, "time": 0.6483} -{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 22752, "data_time": 0.00877, "decode.loss_seg": 0.20568, "decode.acc_seg": 74.01859, "aux.loss_seg": 0.10544, "aux.acc_seg": 72.5284, "loss": 0.31112, "time": 0.66175} -{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.19624, "decode.acc_seg": 74.88749, "aux.loss_seg": 0.09934, "aux.acc_seg": 73.53188, "loss": 0.29558, "time": 0.67967} -{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.20215, "decode.acc_seg": 75.95106, "aux.loss_seg": 0.10453, "aux.acc_seg": 74.45289, "loss": 0.30669, "time": 0.67259} -{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.20191, "decode.acc_seg": 73.657, "aux.loss_seg": 0.09984, "aux.acc_seg": 72.34847, "loss": 0.30175, "time": 0.67894} -{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.22839, "decode.acc_seg": 72.56074, "aux.loss_seg": 0.1115, "aux.acc_seg": 71.2784, "loss": 0.3399, "time": 0.64624} -{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.20287, "decode.acc_seg": 74.30434, "aux.loss_seg": 0.10027, "aux.acc_seg": 73.09872, "loss": 0.30315, "time": 0.66072} -{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.21817, "decode.acc_seg": 72.85476, "aux.loss_seg": 0.11026, "aux.acc_seg": 71.49942, "loss": 0.32843, "time": 0.66152} -{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.20177, "decode.acc_seg": 73.88049, "aux.loss_seg": 0.10165, "aux.acc_seg": 72.51955, "loss": 0.30342, "time": 0.65723} -{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.20661, "decode.acc_seg": 74.35736, "aux.loss_seg": 0.10327, "aux.acc_seg": 73.09755, "loss": 0.30989, "time": 0.66681} -{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.20954, "decode.acc_seg": 73.56321, "aux.loss_seg": 0.10447, "aux.acc_seg": 72.32056, "loss": 0.31401, "time": 0.67581} -{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.21224, "decode.acc_seg": 74.64839, "aux.loss_seg": 0.10595, "aux.acc_seg": 73.29421, "loss": 0.31818, "time": 0.63543} -{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.19825, "decode.acc_seg": 73.88395, "aux.loss_seg": 0.10054, "aux.acc_seg": 72.57567, "loss": 0.29879, "time": 0.67509} -{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.19865, "decode.acc_seg": 74.63321, "aux.loss_seg": 0.1, "aux.acc_seg": 73.29029, "loss": 0.29864, "time": 0.67036} -{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.19782, "decode.acc_seg": 75.1016, "aux.loss_seg": 0.10038, "aux.acc_seg": 73.76973, "loss": 0.29821, "time": 0.66856} -{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.20801, "decode.acc_seg": 74.13266, "aux.loss_seg": 0.10291, "aux.acc_seg": 72.86495, "loss": 0.31092, "time": 0.66102} -{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.2113, "decode.acc_seg": 75.38951, "aux.loss_seg": 0.1067, "aux.acc_seg": 73.97755, "loss": 0.318, "time": 0.67894} -{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.20268, "decode.acc_seg": 75.40783, "aux.loss_seg": 0.10314, "aux.acc_seg": 74.01476, "loss": 0.30582, "time": 0.66617} -{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.23076, "decode.acc_seg": 74.10941, "aux.loss_seg": 0.11261, "aux.acc_seg": 72.77926, "loss": 0.34337, "time": 0.67347} -{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.20608, "decode.acc_seg": 74.56053, "aux.loss_seg": 0.104, "aux.acc_seg": 73.14271, "loss": 0.31008, "time": 0.6577} -{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.19908, "decode.acc_seg": 74.6555, "aux.loss_seg": 0.10047, "aux.acc_seg": 73.34335, "loss": 0.29955, "time": 0.64694} -{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.20993, "decode.acc_seg": 73.86213, "aux.loss_seg": 0.10338, "aux.acc_seg": 72.68112, "loss": 0.31331, "time": 0.6479} -{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 22752, "data_time": 0.24097, "decode.loss_seg": 0.21841, "decode.acc_seg": 75.67288, "aux.loss_seg": 0.108, "aux.acc_seg": 74.05201, "loss": 0.3264, "time": 0.90137} -{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.20765, "decode.acc_seg": 73.65915, "aux.loss_seg": 0.10538, "aux.acc_seg": 72.27177, "loss": 0.31304, "time": 0.66326} -{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 22752, "data_time": 0.00789, "decode.loss_seg": 0.20156, "decode.acc_seg": 75.14336, "aux.loss_seg": 0.09992, "aux.acc_seg": 73.97714, "loss": 0.30147, "time": 0.65256} -{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.19162, "decode.acc_seg": 74.8397, "aux.loss_seg": 0.09751, "aux.acc_seg": 73.44534, "loss": 0.28913, "time": 0.6677} -{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.20101, "decode.acc_seg": 74.7964, "aux.loss_seg": 0.10028, "aux.acc_seg": 73.50966, "loss": 0.30128, "time": 0.67269} -{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.19573, "decode.acc_seg": 73.69766, "aux.loss_seg": 0.09898, "aux.acc_seg": 72.46006, "loss": 0.29471, "time": 0.64186} -{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.19177, "decode.acc_seg": 75.69411, "aux.loss_seg": 0.09845, "aux.acc_seg": 74.25548, "loss": 0.29022, "time": 0.66638} -{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.21075, "decode.acc_seg": 74.31027, "aux.loss_seg": 0.10657, "aux.acc_seg": 72.87936, "loss": 0.31732, "time": 0.66883} -{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.20006, "decode.acc_seg": 72.01364, "aux.loss_seg": 0.10203, "aux.acc_seg": 70.70632, "loss": 0.30209, "time": 0.67248} -{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.21037, "decode.acc_seg": 74.32519, "aux.loss_seg": 0.104, "aux.acc_seg": 73.02943, "loss": 0.31437, "time": 0.66785} -{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.20302, "decode.acc_seg": 74.31337, "aux.loss_seg": 0.10267, "aux.acc_seg": 72.84224, "loss": 0.3057, "time": 0.66717} -{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.20613, "decode.acc_seg": 73.27218, "aux.loss_seg": 0.1045, "aux.acc_seg": 71.80603, "loss": 0.31064, "time": 0.65767} -{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.20159, "decode.acc_seg": 73.90803, "aux.loss_seg": 0.1003, "aux.acc_seg": 72.69853, "loss": 0.30188, "time": 0.64212} -{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.21157, "decode.acc_seg": 75.53559, "aux.loss_seg": 0.10553, "aux.acc_seg": 74.28668, "loss": 0.31709, "time": 0.66778} -{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.19718, "decode.acc_seg": 74.64735, "aux.loss_seg": 0.10097, "aux.acc_seg": 73.23786, "loss": 0.29815, "time": 0.65839} -{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.20524, "decode.acc_seg": 75.01254, "aux.loss_seg": 0.10296, "aux.acc_seg": 73.73919, "loss": 0.3082, "time": 0.65482} -{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.20344, "decode.acc_seg": 73.64597, "aux.loss_seg": 0.10225, "aux.acc_seg": 72.33493, "loss": 0.30569, "time": 0.65978} -{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.21322, "decode.acc_seg": 74.53789, "aux.loss_seg": 0.10725, "aux.acc_seg": 73.13479, "loss": 0.32048, "time": 0.64813} -{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.20672, "decode.acc_seg": 73.28247, "aux.loss_seg": 0.10495, "aux.acc_seg": 71.84604, "loss": 0.31167, "time": 0.65979} -{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.21585, "decode.acc_seg": 72.88616, "aux.loss_seg": 0.1093, "aux.acc_seg": 71.54867, "loss": 0.32515, "time": 0.65329} -{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.18846, "decode.acc_seg": 73.68625, "aux.loss_seg": 0.09419, "aux.acc_seg": 72.42512, "loss": 0.28265, "time": 0.65935} -{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.19728, "decode.acc_seg": 73.68417, "aux.loss_seg": 0.10164, "aux.acc_seg": 72.23148, "loss": 0.29893, "time": 0.65937} -{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.20591, "decode.acc_seg": 73.10036, "aux.loss_seg": 0.10214, "aux.acc_seg": 71.8473, "loss": 0.30805, "time": 0.66598} -{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.19511, "decode.acc_seg": 73.22878, "aux.loss_seg": 0.10032, "aux.acc_seg": 71.84411, "loss": 0.29542, "time": 0.6648} -{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.20661, "decode.acc_seg": 73.67503, "aux.loss_seg": 0.10565, "aux.acc_seg": 72.2835, "loss": 0.31226, "time": 0.6531} -{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 22752, "data_time": 0.22668, "decode.loss_seg": 0.20042, "decode.acc_seg": 74.66215, "aux.loss_seg": 0.1043, "aux.acc_seg": 73.0978, "loss": 0.30471, "time": 0.88558} -{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.21086, "decode.acc_seg": 74.04853, "aux.loss_seg": 0.10518, "aux.acc_seg": 72.70498, "loss": 0.31604, "time": 0.65394} -{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.19834, "decode.acc_seg": 75.02956, "aux.loss_seg": 0.10134, "aux.acc_seg": 73.6915, "loss": 0.29967, "time": 0.63366} -{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.19396, "decode.acc_seg": 73.79, "aux.loss_seg": 0.09965, "aux.acc_seg": 72.34094, "loss": 0.2936, "time": 0.65832} -{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.1952, "decode.acc_seg": 74.18503, "aux.loss_seg": 0.09898, "aux.acc_seg": 72.89143, "loss": 0.29418, "time": 0.66339} -{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 22752, "data_time": 0.01054, "decode.loss_seg": 0.2137, "decode.acc_seg": 75.40993, "aux.loss_seg": 0.10781, "aux.acc_seg": 74.05956, "loss": 0.3215, "time": 0.67354} -{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.19756, "decode.acc_seg": 74.7285, "aux.loss_seg": 0.1003, "aux.acc_seg": 73.3771, "loss": 0.29786, "time": 0.66875} -{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.19814, "decode.acc_seg": 73.82726, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.6041, "loss": 0.297, "time": 0.65321} -{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.19558, "decode.acc_seg": 74.25545, "aux.loss_seg": 0.10019, "aux.acc_seg": 72.75509, "loss": 0.29577, "time": 0.63519} -{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 22752, "data_time": 0.01079, "decode.loss_seg": 0.19515, "decode.acc_seg": 75.2793, "aux.loss_seg": 0.099, "aux.acc_seg": 73.9427, "loss": 0.29415, "time": 0.63635} -{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.19546, "decode.acc_seg": 74.31324, "aux.loss_seg": 0.1005, "aux.acc_seg": 72.89873, "loss": 0.29597, "time": 0.66273} -{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.19537, "decode.acc_seg": 74.87139, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.58096, "loss": 0.29399, "time": 0.66694} -{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.19512, "decode.acc_seg": 74.23242, "aux.loss_seg": 0.09888, "aux.acc_seg": 72.87768, "loss": 0.294, "time": 0.67116} -{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.1955, "decode.acc_seg": 73.99848, "aux.loss_seg": 0.09863, "aux.acc_seg": 72.80943, "loss": 0.29414, "time": 0.65336} -{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 22752, "data_time": 0.01088, "decode.loss_seg": 0.20397, "decode.acc_seg": 74.76253, "aux.loss_seg": 0.10266, "aux.acc_seg": 73.3989, "loss": 0.30663, "time": 0.67272} -{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.19673, "decode.acc_seg": 74.38451, "aux.loss_seg": 0.10076, "aux.acc_seg": 72.97203, "loss": 0.29749, "time": 0.67499} -{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.19984, "decode.acc_seg": 74.06444, "aux.loss_seg": 0.09959, "aux.acc_seg": 72.82867, "loss": 0.29943, "time": 0.65904} -{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 22752, "data_time": 0.01137, "decode.loss_seg": 0.19386, "decode.acc_seg": 74.67153, "aux.loss_seg": 0.09951, "aux.acc_seg": 73.1893, "loss": 0.29338, "time": 0.66849} -{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.19592, "decode.acc_seg": 74.78008, "aux.loss_seg": 0.09925, "aux.acc_seg": 73.4681, "loss": 0.29517, "time": 0.6777} -{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.21296, "decode.acc_seg": 73.47895, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.1501, "loss": 0.32049, "time": 0.63866} -{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 22752, "data_time": 0.01135, "decode.loss_seg": 0.19995, "decode.acc_seg": 75.08849, "aux.loss_seg": 0.10027, "aux.acc_seg": 73.83245, "loss": 0.30021, "time": 0.66455} -{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.20233, "decode.acc_seg": 74.69301, "aux.loss_seg": 0.10276, "aux.acc_seg": 73.25462, "loss": 0.30509, "time": 0.66446} -{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.19664, "decode.acc_seg": 74.41495, "aux.loss_seg": 0.09895, "aux.acc_seg": 73.22507, "loss": 0.29559, "time": 0.67725} -{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.21295, "decode.acc_seg": 73.75076, "aux.loss_seg": 0.10531, "aux.acc_seg": 72.50265, "loss": 0.31826, "time": 0.67281} -{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.19144, "decode.acc_seg": 73.75785, "aux.loss_seg": 0.09767, "aux.acc_seg": 72.37866, "loss": 0.28912, "time": 0.66409} -{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 22752, "data_time": 0.23338, "decode.loss_seg": 0.20123, "decode.acc_seg": 74.6377, "aux.loss_seg": 0.10248, "aux.acc_seg": 73.22285, "loss": 0.3037, "time": 0.88606} -{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.19513, "decode.acc_seg": 74.45419, "aux.loss_seg": 0.09944, "aux.acc_seg": 73.04275, "loss": 0.29458, "time": 0.65978} -{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.19329, "decode.acc_seg": 73.48037, "aux.loss_seg": 0.09903, "aux.acc_seg": 72.11971, "loss": 0.29232, "time": 0.64634} -{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 22752, "data_time": 0.01076, "decode.loss_seg": 0.19599, "decode.acc_seg": 74.30557, "aux.loss_seg": 0.10077, "aux.acc_seg": 72.81817, "loss": 0.29676, "time": 0.65124} -{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.18915, "decode.acc_seg": 73.40546, "aux.loss_seg": 0.09605, "aux.acc_seg": 72.06491, "loss": 0.2852, "time": 0.65597} -{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.19931, "decode.acc_seg": 74.38584, "aux.loss_seg": 0.10198, "aux.acc_seg": 73.0825, "loss": 0.3013, "time": 0.66249} -{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.20075, "decode.acc_seg": 73.37328, "aux.loss_seg": 0.10177, "aux.acc_seg": 72.01107, "loss": 0.30252, "time": 0.65551} -{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.19658, "decode.acc_seg": 73.74235, "aux.loss_seg": 0.0999, "aux.acc_seg": 72.32478, "loss": 0.29648, "time": 0.62409} -{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.9912, "aux.loss_seg": 0.10454, "aux.acc_seg": 72.63332, "loss": 0.31121, "time": 0.66738} -{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.18389, "decode.acc_seg": 74.1788, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.92396, "loss": 0.27749, "time": 0.67452} -{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.75435, "aux.loss_seg": 0.09769, "aux.acc_seg": 72.51062, "loss": 0.2922, "time": 0.67263} -{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.20122, "decode.acc_seg": 73.64978, "aux.loss_seg": 0.10067, "aux.acc_seg": 72.34967, "loss": 0.30189, "time": 0.67434} -{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.2054, "decode.acc_seg": 74.50519, "aux.loss_seg": 0.10332, "aux.acc_seg": 73.08814, "loss": 0.30872, "time": 0.67098} -{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.20575, "decode.acc_seg": 76.21615, "aux.loss_seg": 0.1037, "aux.acc_seg": 74.85015, "loss": 0.30946, "time": 0.662} -{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.20379, "decode.acc_seg": 73.23242, "aux.loss_seg": 0.10412, "aux.acc_seg": 71.88548, "loss": 0.30791, "time": 0.64036} -{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.19149, "decode.acc_seg": 73.28834, "aux.loss_seg": 0.09828, "aux.acc_seg": 71.79779, "loss": 0.28977, "time": 0.65805} -{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.19535, "decode.acc_seg": 74.3076, "aux.loss_seg": 0.09868, "aux.acc_seg": 73.03623, "loss": 0.29403, "time": 0.66141} -{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.19947, "decode.acc_seg": 73.99508, "aux.loss_seg": 0.09969, "aux.acc_seg": 72.74796, "loss": 0.29916, "time": 0.66406} -{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.20395, "decode.acc_seg": 73.59808, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.29372, "loss": 0.3064, "time": 0.6758} -{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.19708, "decode.acc_seg": 73.75925, "aux.loss_seg": 0.0987, "aux.acc_seg": 72.40913, "loss": 0.29578, "time": 0.65481} -{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.20523, "decode.acc_seg": 73.24618, "aux.loss_seg": 0.10281, "aux.acc_seg": 71.92567, "loss": 0.30804, "time": 0.65543} -{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 22752, "data_time": 0.01044, "decode.loss_seg": 0.19086, "decode.acc_seg": 74.18807, "aux.loss_seg": 0.09502, "aux.acc_seg": 73.06295, "loss": 0.28588, "time": 0.67176} -{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.19094, "decode.acc_seg": 75.81537, "aux.loss_seg": 0.0991, "aux.acc_seg": 74.36856, "loss": 0.29004, "time": 0.63397} -{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.19722, "decode.acc_seg": 75.76528, "aux.loss_seg": 0.09963, "aux.acc_seg": 74.36839, "loss": 0.29685, "time": 0.67828} -{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.20839, "decode.acc_seg": 74.79246, "aux.loss_seg": 0.10307, "aux.acc_seg": 73.52468, "loss": 0.31146, "time": 0.66649} -{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 22752, "data_time": 0.23329, "decode.loss_seg": 0.19856, "decode.acc_seg": 75.30024, "aux.loss_seg": 0.10015, "aux.acc_seg": 73.89764, "loss": 0.29872, "time": 0.87162} -{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.19505, "decode.acc_seg": 74.80426, "aux.loss_seg": 0.09894, "aux.acc_seg": 73.45158, "loss": 0.294, "time": 0.6766} -{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.21381, "decode.acc_seg": 75.78354, "aux.loss_seg": 0.10681, "aux.acc_seg": 74.36229, "loss": 0.32062, "time": 0.66238} -{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.1972, "decode.acc_seg": 73.82099, "aux.loss_seg": 0.10109, "aux.acc_seg": 72.35038, "loss": 0.2983, "time": 0.66974} -{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 22752, "data_time": 0.01029, "decode.loss_seg": 0.19578, "decode.acc_seg": 74.21174, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.90109, "loss": 0.29464, "time": 0.65505} -{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.18663, "decode.acc_seg": 74.0244, "aux.loss_seg": 0.09566, "aux.acc_seg": 72.75128, "loss": 0.28228, "time": 0.66162} -{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.18915, "decode.acc_seg": 74.68661, "aux.loss_seg": 0.09511, "aux.acc_seg": 73.47122, "loss": 0.28426, "time": 0.67088} -{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.20501, "decode.acc_seg": 73.43241, "aux.loss_seg": 0.10119, "aux.acc_seg": 72.22564, "loss": 0.3062, "time": 0.66687} -{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 22752, "data_time": 0.01069, "decode.loss_seg": 0.19349, "decode.acc_seg": 75.03596, "aux.loss_seg": 0.09846, "aux.acc_seg": 73.64043, "loss": 0.29195, "time": 0.66756} -{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.19149, "decode.acc_seg": 75.26998, "aux.loss_seg": 0.09845, "aux.acc_seg": 73.86395, "loss": 0.28995, "time": 0.64624} -{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.19175, "decode.acc_seg": 76.16004, "aux.loss_seg": 0.09857, "aux.acc_seg": 74.66275, "loss": 0.29033, "time": 0.65476} -{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 22752, "data_time": 0.01054, "decode.loss_seg": 0.19361, "decode.acc_seg": 73.64032, "aux.loss_seg": 0.0978, "aux.acc_seg": 72.30995, "loss": 0.29142, "time": 0.66537} -{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.18548, "decode.acc_seg": 74.89349, "aux.loss_seg": 0.09356, "aux.acc_seg": 73.65597, "loss": 0.27903, "time": 0.65869} -{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.19529, "decode.acc_seg": 73.69266, "aux.loss_seg": 0.09924, "aux.acc_seg": 72.34633, "loss": 0.29453, "time": 0.65787} -{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 22752, "data_time": 0.01115, "decode.loss_seg": 0.19167, "decode.acc_seg": 73.98455, "aux.loss_seg": 0.09943, "aux.acc_seg": 72.43234, "loss": 0.29111, "time": 0.65859} -{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.19524, "decode.acc_seg": 73.64595, "aux.loss_seg": 0.09964, "aux.acc_seg": 72.22218, "loss": 0.29489, "time": 0.67068} -{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 22752, "data_time": 0.01093, "decode.loss_seg": 0.20333, "decode.acc_seg": 74.19202, "aux.loss_seg": 0.10281, "aux.acc_seg": 72.87382, "loss": 0.30614, "time": 0.66393} -{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 22752, "data_time": 0.01099, "decode.loss_seg": 0.20456, "decode.acc_seg": 74.59554, "aux.loss_seg": 0.10263, "aux.acc_seg": 73.41594, "loss": 0.30719, "time": 0.67578} -{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 22752, "data_time": 0.01124, "decode.loss_seg": 0.19912, "decode.acc_seg": 73.867, "aux.loss_seg": 0.10036, "aux.acc_seg": 72.60933, "loss": 0.29948, "time": 0.65544} -{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 22752, "data_time": 0.01104, "decode.loss_seg": 0.19328, "decode.acc_seg": 74.49125, "aux.loss_seg": 0.09795, "aux.acc_seg": 73.11967, "loss": 0.29123, "time": 0.66315} -{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.20717, "decode.acc_seg": 74.5051, "aux.loss_seg": 0.10239, "aux.acc_seg": 73.34595, "loss": 0.30956, "time": 0.64058} -{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 22752, "data_time": 0.01151, "decode.loss_seg": 0.1986, "decode.acc_seg": 73.44277, "aux.loss_seg": 0.10069, "aux.acc_seg": 71.95449, "loss": 0.29929, "time": 0.67102} -{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 22752, "data_time": 0.01032, "decode.loss_seg": 0.1896, "decode.acc_seg": 73.94121, "aux.loss_seg": 0.09571, "aux.acc_seg": 72.76909, "loss": 0.28531, "time": 0.644} -{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 22752, "data_time": 0.01086, "decode.loss_seg": 0.20105, "decode.acc_seg": 73.43246, "aux.loss_seg": 0.10099, "aux.acc_seg": 72.14289, "loss": 0.30204, "time": 0.67708} -{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 22752, "data_time": 0.01072, "decode.loss_seg": 0.19255, "decode.acc_seg": 74.94799, "aux.loss_seg": 0.09591, "aux.acc_seg": 73.6851, "loss": 0.28846, "time": 0.66911} -{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.19146, "decode.acc_seg": 73.41395, "aux.loss_seg": 0.09689, "aux.acc_seg": 72.19527, "loss": 0.28835, "time": 0.67822} -{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 22752, "data_time": 0.22716, "decode.loss_seg": 0.18614, "decode.acc_seg": 74.29698, "aux.loss_seg": 0.09497, "aux.acc_seg": 73.01561, "loss": 0.28112, "time": 0.86636} -{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.19018, "decode.acc_seg": 73.43236, "aux.loss_seg": 0.09752, "aux.acc_seg": 72.08661, "loss": 0.28771, "time": 0.65067} -{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 22752, "data_time": 0.00985, "decode.loss_seg": 0.20451, "decode.acc_seg": 75.16082, "aux.loss_seg": 0.10321, "aux.acc_seg": 73.79001, "loss": 0.30772, "time": 0.65442} -{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.20302, "decode.acc_seg": 75.33882, "aux.loss_seg": 0.10325, "aux.acc_seg": 73.93508, "loss": 0.30627, "time": 0.67403} -{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 22752, "data_time": 0.0107, "decode.loss_seg": 0.1975, "decode.acc_seg": 75.96777, "aux.loss_seg": 0.10053, "aux.acc_seg": 74.5495, "loss": 0.29803, "time": 0.67773} -{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.19872, "decode.acc_seg": 75.26494, "aux.loss_seg": 0.09941, "aux.acc_seg": 74.05238, "loss": 0.29812, "time": 0.636} -{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.18742, "decode.acc_seg": 75.51004, "aux.loss_seg": 0.09651, "aux.acc_seg": 74.11529, "loss": 0.28393, "time": 0.67247} -{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.1912, "decode.acc_seg": 74.60417, "aux.loss_seg": 0.0971, "aux.acc_seg": 73.21456, "loss": 0.2883, "time": 0.67028} -{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.18833, "decode.acc_seg": 74.37706, "aux.loss_seg": 0.0951, "aux.acc_seg": 73.02208, "loss": 0.28344, "time": 0.67157} -{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 22752, "data_time": 0.0109, "decode.loss_seg": 0.18652, "decode.acc_seg": 75.64827, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.32046, "loss": 0.28131, "time": 0.67124} -{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.18251, "decode.acc_seg": 75.00633, "aux.loss_seg": 0.09412, "aux.acc_seg": 73.67895, "loss": 0.27663, "time": 0.66325} -{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.18742, "decode.acc_seg": 74.08987, "aux.loss_seg": 0.09641, "aux.acc_seg": 72.72656, "loss": 0.28384, "time": 0.66207} -{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 22752, "data_time": 0.01035, "decode.loss_seg": 0.18313, "decode.acc_seg": 76.14234, "aux.loss_seg": 0.0942, "aux.acc_seg": 74.78481, "loss": 0.27732, "time": 0.66105} -{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.20476, "decode.acc_seg": 74.07753, "aux.loss_seg": 0.1041, "aux.acc_seg": 72.68692, "loss": 0.30886, "time": 0.65202} -{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.19543, "decode.acc_seg": 75.74809, "aux.loss_seg": 0.09995, "aux.acc_seg": 74.32492, "loss": 0.29538, "time": 0.65012} -{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.20969, "decode.acc_seg": 73.56585, "aux.loss_seg": 0.10645, "aux.acc_seg": 72.14773, "loss": 0.31614, "time": 0.64816} -{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.19591, "decode.acc_seg": 72.95535, "aux.loss_seg": 0.09838, "aux.acc_seg": 71.68191, "loss": 0.29429, "time": 0.67675} -{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.19531, "decode.acc_seg": 74.5539, "aux.loss_seg": 0.10035, "aux.acc_seg": 73.04891, "loss": 0.29566, "time": 0.66153} -{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.18972, "decode.acc_seg": 75.76199, "aux.loss_seg": 0.09801, "aux.acc_seg": 74.36853, "loss": 0.28773, "time": 0.66059} -{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.19109, "decode.acc_seg": 73.9056, "aux.loss_seg": 0.09712, "aux.acc_seg": 72.60011, "loss": 0.28821, "time": 0.66247} -{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.20486, "decode.acc_seg": 74.51609, "aux.loss_seg": 0.1041, "aux.acc_seg": 73.15877, "loss": 0.30896, "time": 0.65597} -{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.19116, "decode.acc_seg": 74.32131, "aux.loss_seg": 0.09759, "aux.acc_seg": 73.00884, "loss": 0.28875, "time": 0.67625} -{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.18848, "decode.acc_seg": 73.85061, "aux.loss_seg": 0.0961, "aux.acc_seg": 72.6083, "loss": 0.28458, "time": 0.67602} -{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.19318, "decode.acc_seg": 74.73661, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.41892, "loss": 0.29085, "time": 0.65583} -{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.19017, "decode.acc_seg": 73.72512, "aux.loss_seg": 0.09547, "aux.acc_seg": 72.49982, "loss": 0.28564, "time": 0.67033} -{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 22752, "data_time": 0.22903, "decode.loss_seg": 0.19777, "decode.acc_seg": 74.27897, "aux.loss_seg": 0.10009, "aux.acc_seg": 72.97103, "loss": 0.29785, "time": 0.85635} -{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.19297, "decode.acc_seg": 73.76655, "aux.loss_seg": 0.09747, "aux.acc_seg": 72.5393, "loss": 0.29044, "time": 0.66403} -{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.19574, "decode.acc_seg": 75.53378, "aux.loss_seg": 0.09855, "aux.acc_seg": 74.20334, "loss": 0.29429, "time": 0.67547} -{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.18947, "decode.acc_seg": 73.712, "aux.loss_seg": 0.09702, "aux.acc_seg": 72.39409, "loss": 0.28649, "time": 0.66563} -{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.20327, "decode.acc_seg": 74.85938, "aux.loss_seg": 0.10458, "aux.acc_seg": 73.31734, "loss": 0.30786, "time": 0.66629} -{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.1854, "decode.acc_seg": 74.09026, "aux.loss_seg": 0.09549, "aux.acc_seg": 72.71387, "loss": 0.28089, "time": 0.65243} -{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.18748, "decode.acc_seg": 73.77367, "aux.loss_seg": 0.09365, "aux.acc_seg": 72.58812, "loss": 0.28112, "time": 0.66322} -{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.1912, "decode.acc_seg": 75.65571, "aux.loss_seg": 0.09719, "aux.acc_seg": 74.36073, "loss": 0.28838, "time": 0.65634} -{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.1872, "decode.acc_seg": 74.79896, "aux.loss_seg": 0.09666, "aux.acc_seg": 73.3738, "loss": 0.28385, "time": 0.66013} -{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.19657, "decode.acc_seg": 74.24621, "aux.loss_seg": 0.09892, "aux.acc_seg": 72.98876, "loss": 0.29549, "time": 0.66292} -{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.19332, "decode.acc_seg": 74.8, "aux.loss_seg": 0.09993, "aux.acc_seg": 73.38759, "loss": 0.29326, "time": 0.67434} -{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.18325, "decode.acc_seg": 74.74631, "aux.loss_seg": 0.09554, "aux.acc_seg": 73.33846, "loss": 0.2788, "time": 0.64817} -{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.19526, "decode.acc_seg": 74.3254, "aux.loss_seg": 0.09755, "aux.acc_seg": 73.02402, "loss": 0.29282, "time": 0.6487} -{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.19095, "decode.acc_seg": 75.03762, "aux.loss_seg": 0.09601, "aux.acc_seg": 73.73295, "loss": 0.28697, "time": 0.66574} -{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.2057, "decode.acc_seg": 72.70258, "aux.loss_seg": 0.10554, "aux.acc_seg": 71.26168, "loss": 0.31124, "time": 0.63738} -{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.19603, "decode.acc_seg": 72.58568, "aux.loss_seg": 0.10041, "aux.acc_seg": 71.13871, "loss": 0.29644, "time": 0.63821} -{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 22752, "data_time": 0.01046, "decode.loss_seg": 0.19401, "decode.acc_seg": 73.57583, "aux.loss_seg": 0.09723, "aux.acc_seg": 72.44872, "loss": 0.29125, "time": 0.66092} -{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.18617, "decode.acc_seg": 73.04327, "aux.loss_seg": 0.0959, "aux.acc_seg": 71.66828, "loss": 0.28207, "time": 0.67118} -{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.17708, "decode.acc_seg": 73.89403, "aux.loss_seg": 0.09185, "aux.acc_seg": 72.51998, "loss": 0.26893, "time": 0.64773} -{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.19888, "decode.acc_seg": 75.11137, "aux.loss_seg": 0.1007, "aux.acc_seg": 73.74551, "loss": 0.29958, "time": 0.67561} -{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 22752, "data_time": 0.01046, "decode.loss_seg": 0.19383, "decode.acc_seg": 73.73972, "aux.loss_seg": 0.10038, "aux.acc_seg": 72.26292, "loss": 0.29421, "time": 0.65427} -{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.19392, "decode.acc_seg": 76.67021, "aux.loss_seg": 0.09986, "aux.acc_seg": 75.24941, "loss": 0.29378, "time": 0.66165} -{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.18941, "decode.acc_seg": 72.20496, "aux.loss_seg": 0.09716, "aux.acc_seg": 70.78674, "loss": 0.28657, "time": 0.66604} -{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.19642, "decode.acc_seg": 75.61611, "aux.loss_seg": 0.09864, "aux.acc_seg": 74.35277, "loss": 0.29507, "time": 0.66758} -{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.18453, "decode.acc_seg": 72.98293, "aux.loss_seg": 0.09387, "aux.acc_seg": 71.79371, "loss": 0.2784, "time": 0.65346} -{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 22752, "data_time": 0.22969, "decode.loss_seg": 0.19751, "decode.acc_seg": 73.53944, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.22713, "loss": 0.29704, "time": 0.86714} -{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.19308, "decode.acc_seg": 75.69704, "aux.loss_seg": 0.09698, "aux.acc_seg": 74.38735, "loss": 0.29006, "time": 0.65713} -{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.19443, "decode.acc_seg": 73.82331, "aux.loss_seg": 0.09825, "aux.acc_seg": 72.56304, "loss": 0.29268, "time": 0.66566} -{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.18735, "decode.acc_seg": 74.33033, "aux.loss_seg": 0.09704, "aux.acc_seg": 72.8077, "loss": 0.28439, "time": 0.64792} -{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.20313, "decode.acc_seg": 74.39756, "aux.loss_seg": 0.10471, "aux.acc_seg": 72.87215, "loss": 0.30784, "time": 0.66193} -{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.19333, "decode.acc_seg": 74.27706, "aux.loss_seg": 0.09812, "aux.acc_seg": 72.96075, "loss": 0.29145, "time": 0.67796} -{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.19354, "decode.acc_seg": 75.14906, "aux.loss_seg": 0.09855, "aux.acc_seg": 73.81929, "loss": 0.29209, "time": 0.64898} -{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.19117, "decode.acc_seg": 73.98687, "aux.loss_seg": 0.09744, "aux.acc_seg": 72.59988, "loss": 0.28861, "time": 0.66988} -{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.1797, "decode.acc_seg": 74.86832, "aux.loss_seg": 0.09232, "aux.acc_seg": 73.61321, "loss": 0.27202, "time": 0.6681} -{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.20126, "decode.acc_seg": 73.23925, "aux.loss_seg": 0.10143, "aux.acc_seg": 71.90911, "loss": 0.30269, "time": 0.67273} -{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.19348, "decode.acc_seg": 74.65256, "aux.loss_seg": 0.09809, "aux.acc_seg": 73.35259, "loss": 0.29157, "time": 0.66334} -{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.19542, "decode.acc_seg": 73.28424, "aux.loss_seg": 0.09848, "aux.acc_seg": 71.87081, "loss": 0.2939, "time": 0.64837} -{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.18982, "decode.acc_seg": 74.62616, "aux.loss_seg": 0.09879, "aux.acc_seg": 73.19207, "loss": 0.28862, "time": 0.65376} -{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.19532, "decode.acc_seg": 74.28948, "aux.loss_seg": 0.1, "aux.acc_seg": 72.8987, "loss": 0.29532, "time": 0.67587} -{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.20091, "decode.acc_seg": 74.91542, "aux.loss_seg": 0.101, "aux.acc_seg": 73.62977, "loss": 0.3019, "time": 0.65838} -{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.19882, "decode.acc_seg": 74.59684, "aux.loss_seg": 0.10086, "aux.acc_seg": 73.23843, "loss": 0.29969, "time": 0.66924} -{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.19284, "decode.acc_seg": 73.50328, "aux.loss_seg": 0.09947, "aux.acc_seg": 72.26031, "loss": 0.29231, "time": 0.66187} -{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.17792, "decode.acc_seg": 73.99175, "aux.loss_seg": 0.09214, "aux.acc_seg": 72.60211, "loss": 0.27007, "time": 0.64656} -{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.1836, "decode.acc_seg": 72.95878, "aux.loss_seg": 0.09383, "aux.acc_seg": 71.59744, "loss": 0.27743, "time": 0.65818} -{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.18072, "decode.acc_seg": 73.67952, "aux.loss_seg": 0.09108, "aux.acc_seg": 72.44561, "loss": 0.2718, "time": 0.66213} -{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.1878, "decode.acc_seg": 73.62096, "aux.loss_seg": 0.09673, "aux.acc_seg": 72.19725, "loss": 0.28452, "time": 0.66069} -{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.19607, "decode.acc_seg": 74.97928, "aux.loss_seg": 0.09944, "aux.acc_seg": 73.73935, "loss": 0.2955, "time": 0.63952} -{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.18643, "decode.acc_seg": 74.70038, "aux.loss_seg": 0.09523, "aux.acc_seg": 73.26457, "loss": 0.28166, "time": 0.65298} -{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.20223, "decode.acc_seg": 74.61459, "aux.loss_seg": 0.10141, "aux.acc_seg": 73.32384, "loss": 0.30364, "time": 0.6739} -{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.18826, "decode.acc_seg": 73.29105, "aux.loss_seg": 0.09733, "aux.acc_seg": 71.931, "loss": 0.28559, "time": 0.66977} -{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 22752, "data_time": 0.22803, "decode.loss_seg": 0.19236, "decode.acc_seg": 75.08025, "aux.loss_seg": 0.09875, "aux.acc_seg": 73.70713, "loss": 0.29111, "time": 0.87772} -{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.18194, "decode.acc_seg": 75.44044, "aux.loss_seg": 0.09405, "aux.acc_seg": 74.16055, "loss": 0.27599, "time": 0.64808} -{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.19054, "decode.acc_seg": 74.45439, "aux.loss_seg": 0.09518, "aux.acc_seg": 73.26577, "loss": 0.28573, "time": 0.65597} -{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.18898, "decode.acc_seg": 74.14021, "aux.loss_seg": 0.09649, "aux.acc_seg": 72.86588, "loss": 0.28547, "time": 0.66231} -{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.18547, "decode.acc_seg": 74.98369, "aux.loss_seg": 0.09345, "aux.acc_seg": 73.66838, "loss": 0.27892, "time": 0.65804} -{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.18541, "decode.acc_seg": 74.69952, "aux.loss_seg": 0.09531, "aux.acc_seg": 73.38033, "loss": 0.28072, "time": 0.66998} -{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.18205, "decode.acc_seg": 74.507, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.17949, "loss": 0.27588, "time": 0.65462} -{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.17775, "decode.acc_seg": 74.80221, "aux.loss_seg": 0.09138, "aux.acc_seg": 73.49864, "loss": 0.26912, "time": 0.66323} -{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.18631, "decode.acc_seg": 75.61264, "aux.loss_seg": 0.09441, "aux.acc_seg": 74.37832, "loss": 0.28072, "time": 0.67258} -{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.19673, "decode.acc_seg": 73.86119, "aux.loss_seg": 0.09939, "aux.acc_seg": 72.46596, "loss": 0.29611, "time": 0.66347} -{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.19018, "decode.acc_seg": 74.45142, "aux.loss_seg": 0.09672, "aux.acc_seg": 73.21273, "loss": 0.2869, "time": 0.64917} -{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.18888, "decode.acc_seg": 75.46074, "aux.loss_seg": 0.09656, "aux.acc_seg": 74.08207, "loss": 0.28544, "time": 0.6711} -{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.19127, "decode.acc_seg": 73.49739, "aux.loss_seg": 0.098, "aux.acc_seg": 72.13715, "loss": 0.28927, "time": 0.68169} -{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.19081, "decode.acc_seg": 74.53757, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.07805, "loss": 0.28848, "time": 0.65977} -{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.18922, "decode.acc_seg": 75.6258, "aux.loss_seg": 0.09641, "aux.acc_seg": 74.32476, "loss": 0.28563, "time": 0.65589} -{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.18958, "decode.acc_seg": 74.36252, "aux.loss_seg": 0.09581, "aux.acc_seg": 73.14148, "loss": 0.2854, "time": 0.66455} -{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.20416, "decode.acc_seg": 75.04409, "aux.loss_seg": 0.10467, "aux.acc_seg": 73.67203, "loss": 0.30883, "time": 0.66858} -{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.19591, "decode.acc_seg": 75.15954, "aux.loss_seg": 0.09775, "aux.acc_seg": 73.88577, "loss": 0.29365, "time": 0.65747} -{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.19929, "decode.acc_seg": 73.59554, "aux.loss_seg": 0.1008, "aux.acc_seg": 72.31396, "loss": 0.30009, "time": 0.66301} -{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.18922, "decode.acc_seg": 73.62928, "aux.loss_seg": 0.09633, "aux.acc_seg": 72.31517, "loss": 0.28555, "time": 0.6578} -{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.18968, "decode.acc_seg": 74.67299, "aux.loss_seg": 0.09774, "aux.acc_seg": 73.29789, "loss": 0.28742, "time": 0.64955} -{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.19377, "decode.acc_seg": 73.7626, "aux.loss_seg": 0.09566, "aux.acc_seg": 72.47986, "loss": 0.28943, "time": 0.67851} -{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.18119, "decode.acc_seg": 73.88453, "aux.loss_seg": 0.09415, "aux.acc_seg": 72.46608, "loss": 0.27534, "time": 0.66611} -{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.19311, "decode.acc_seg": 73.43893, "aux.loss_seg": 0.09733, "aux.acc_seg": 72.22203, "loss": 0.29044, "time": 0.67576} -{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18824, "decode.acc_seg": 75.06446, "aux.loss_seg": 0.09606, "aux.acc_seg": 73.77612, "loss": 0.2843, "time": 0.66884} -{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.19344, "decode.acc_seg": 74.51377, "aux.loss_seg": 0.09786, "aux.acc_seg": 73.29862, "loss": 0.29131, "time": 0.65135} -{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 22752, "data_time": 0.23205, "decode.loss_seg": 0.17591, "decode.acc_seg": 75.36737, "aux.loss_seg": 0.09165, "aux.acc_seg": 74.02624, "loss": 0.26756, "time": 0.88644} -{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.19219, "decode.acc_seg": 73.66983, "aux.loss_seg": 0.09811, "aux.acc_seg": 72.36895, "loss": 0.2903, "time": 0.6626} -{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.18789, "decode.acc_seg": 74.90648, "aux.loss_seg": 0.09565, "aux.acc_seg": 73.59276, "loss": 0.28353, "time": 0.65965} -{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.19022, "decode.acc_seg": 74.70883, "aux.loss_seg": 0.09569, "aux.acc_seg": 73.51905, "loss": 0.28591, "time": 0.66893} -{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.18895, "decode.acc_seg": 74.26836, "aux.loss_seg": 0.09736, "aux.acc_seg": 72.86343, "loss": 0.2863, "time": 0.67529} -{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.18972, "decode.acc_seg": 74.58053, "aux.loss_seg": 0.09724, "aux.acc_seg": 73.15504, "loss": 0.28696, "time": 0.65627} -{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.18652, "decode.acc_seg": 75.53463, "aux.loss_seg": 0.09666, "aux.acc_seg": 74.13293, "loss": 0.28318, "time": 0.6681} -{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.192, "decode.acc_seg": 73.2369, "aux.loss_seg": 0.09801, "aux.acc_seg": 71.89385, "loss": 0.29001, "time": 0.6553} -{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.19907, "decode.acc_seg": 75.22546, "aux.loss_seg": 0.10156, "aux.acc_seg": 73.79508, "loss": 0.30062, "time": 0.6649} -{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.19748, "decode.acc_seg": 73.09366, "aux.loss_seg": 0.09949, "aux.acc_seg": 71.71227, "loss": 0.29697, "time": 0.65118} -{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.18798, "decode.acc_seg": 75.46387, "aux.loss_seg": 0.09582, "aux.acc_seg": 74.24421, "loss": 0.28381, "time": 0.64195} -{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.18735, "decode.acc_seg": 74.2733, "aux.loss_seg": 0.09584, "aux.acc_seg": 72.90543, "loss": 0.28319, "time": 0.66082} -{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.19587, "decode.acc_seg": 73.6109, "aux.loss_seg": 0.10023, "aux.acc_seg": 72.18668, "loss": 0.29609, "time": 0.67369} -{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.18843, "decode.acc_seg": 74.72397, "aux.loss_seg": 0.09726, "aux.acc_seg": 73.32882, "loss": 0.28569, "time": 0.6737} -{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.1805, "decode.acc_seg": 74.44481, "aux.loss_seg": 0.09164, "aux.acc_seg": 73.18623, "loss": 0.27214, "time": 0.67537} -{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.20216, "decode.acc_seg": 74.49306, "aux.loss_seg": 0.10114, "aux.acc_seg": 73.18319, "loss": 0.3033, "time": 0.64779} -{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 22752, "data_time": 0.01053, "decode.loss_seg": 0.18546, "decode.acc_seg": 74.10215, "aux.loss_seg": 0.09336, "aux.acc_seg": 72.83789, "loss": 0.27882, "time": 0.65683} -{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.19761, "decode.acc_seg": 74.76442, "aux.loss_seg": 0.10058, "aux.acc_seg": 73.38163, "loss": 0.29819, "time": 0.66362} -{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.18934, "decode.acc_seg": 74.20707, "aux.loss_seg": 0.09531, "aux.acc_seg": 73.00968, "loss": 0.28465, "time": 0.66303} -{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.19078, "decode.acc_seg": 74.50137, "aux.loss_seg": 0.09662, "aux.acc_seg": 73.286, "loss": 0.28739, "time": 0.63648} -{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.18677, "decode.acc_seg": 74.16696, "aux.loss_seg": 0.09581, "aux.acc_seg": 72.76027, "loss": 0.28258, "time": 0.66475} -{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.1885, "decode.acc_seg": 75.40781, "aux.loss_seg": 0.09709, "aux.acc_seg": 73.99178, "loss": 0.28558, "time": 0.66774} -{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.1695, "decode.acc_seg": 73.25779, "aux.loss_seg": 0.08815, "aux.acc_seg": 71.96886, "loss": 0.25765, "time": 0.67548} -{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.18234, "decode.acc_seg": 73.56678, "aux.loss_seg": 0.09172, "aux.acc_seg": 72.43014, "loss": 0.27406, "time": 0.65596} -{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.17926, "decode.acc_seg": 73.80155, "aux.loss_seg": 0.09337, "aux.acc_seg": 72.35856, "loss": 0.27263, "time": 0.64644} -{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 22752, "data_time": 0.23072, "decode.loss_seg": 0.18819, "decode.acc_seg": 73.53608, "aux.loss_seg": 0.09607, "aux.acc_seg": 72.14795, "loss": 0.28426, "time": 0.87616} -{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.18333, "decode.acc_seg": 75.65786, "aux.loss_seg": 0.09411, "aux.acc_seg": 74.33785, "loss": 0.27744, "time": 0.67937} -{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.19011, "decode.acc_seg": 74.6701, "aux.loss_seg": 0.09697, "aux.acc_seg": 73.26524, "loss": 0.28708, "time": 0.66699} -{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.18746, "decode.acc_seg": 74.6199, "aux.loss_seg": 0.09645, "aux.acc_seg": 73.2233, "loss": 0.28391, "time": 0.67678} -{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.17675, "decode.acc_seg": 74.48563, "aux.loss_seg": 0.09139, "aux.acc_seg": 73.1523, "loss": 0.26814, "time": 0.64992} -{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 22752, "data_time": 0.01068, "decode.loss_seg": 0.1984, "decode.acc_seg": 73.36941, "aux.loss_seg": 0.10061, "aux.acc_seg": 72.0197, "loss": 0.29901, "time": 0.67576} -{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.20136, "decode.acc_seg": 73.53068, "aux.loss_seg": 0.10143, "aux.acc_seg": 72.14214, "loss": 0.30279, "time": 0.66495} -{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.18406, "decode.acc_seg": 74.64551, "aux.loss_seg": 0.09482, "aux.acc_seg": 73.2434, "loss": 0.27889, "time": 0.65966} -{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.19528, "decode.acc_seg": 74.23776, "aux.loss_seg": 0.09801, "aux.acc_seg": 72.94266, "loss": 0.29329, "time": 0.64312} -{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.19137, "decode.acc_seg": 73.87802, "aux.loss_seg": 0.0973, "aux.acc_seg": 72.48237, "loss": 0.28867, "time": 0.64205} -{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.19778, "decode.acc_seg": 74.48143, "aux.loss_seg": 0.10152, "aux.acc_seg": 73.10374, "loss": 0.29929, "time": 0.66666} -{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.19157, "decode.acc_seg": 75.2507, "aux.loss_seg": 0.09602, "aux.acc_seg": 73.85015, "loss": 0.28758, "time": 0.6657} -{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.1821, "decode.acc_seg": 75.25867, "aux.loss_seg": 0.09535, "aux.acc_seg": 73.82109, "loss": 0.27746, "time": 0.66803} -{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.18451, "decode.acc_seg": 74.82852, "aux.loss_seg": 0.09675, "aux.acc_seg": 73.31496, "loss": 0.28126, "time": 0.67034} -{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.19355, "decode.acc_seg": 74.88992, "aux.loss_seg": 0.09903, "aux.acc_seg": 73.54369, "loss": 0.29258, "time": 0.6685} -{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.18905, "decode.acc_seg": 74.55665, "aux.loss_seg": 0.09868, "aux.acc_seg": 73.13166, "loss": 0.28773, "time": 0.66898} -{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.18359, "decode.acc_seg": 74.31288, "aux.loss_seg": 0.09525, "aux.acc_seg": 72.88384, "loss": 0.27884, "time": 0.67182} -{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.18963, "decode.acc_seg": 74.81876, "aux.loss_seg": 0.09607, "aux.acc_seg": 73.52896, "loss": 0.28571, "time": 0.67583} -{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.17747, "decode.acc_seg": 74.97167, "aux.loss_seg": 0.09091, "aux.acc_seg": 73.70946, "loss": 0.26838, "time": 0.67041} -{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.19274, "decode.acc_seg": 75.37839, "aux.loss_seg": 0.09766, "aux.acc_seg": 74.04149, "loss": 0.2904, "time": 0.67525} -{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.18581, "decode.acc_seg": 74.63552, "aux.loss_seg": 0.09583, "aux.acc_seg": 73.22066, "loss": 0.28163, "time": 0.63826} -{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.19478, "decode.acc_seg": 74.53, "aux.loss_seg": 0.098, "aux.acc_seg": 73.31412, "loss": 0.29278, "time": 0.6714} -{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.1835, "decode.acc_seg": 74.25887, "aux.loss_seg": 0.09495, "aux.acc_seg": 72.95144, "loss": 0.27845, "time": 0.64295} -{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.18706, "decode.acc_seg": 73.79846, "aux.loss_seg": 0.09565, "aux.acc_seg": 72.48971, "loss": 0.2827, "time": 0.66223} -{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.18045, "decode.acc_seg": 75.53271, "aux.loss_seg": 0.09254, "aux.acc_seg": 74.24448, "loss": 0.27298, "time": 0.66266} -{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4731, "mAcc": 0.5951, "aAcc": 0.8236, "IoU.wall": 0.7651, "IoU.building": 0.821, "IoU.sky": 0.9375, "IoU.floor": 0.8116, "IoU.tree": 0.7322, "IoU.ceiling": 0.8442, "IoU.road": 0.8333, "IoU.bed ": 0.8557, "IoU.windowpane": 0.6004, "IoU.grass": 0.7114, "IoU.cabinet": 0.5688, "IoU.sidewalk": 0.6552, "IoU.person": 0.7713, "IoU.earth": 0.3802, "IoU.door": 0.4759, "IoU.table": 0.5907, "IoU.mountain": 0.5976, "IoU.plant": 0.4847, "IoU.curtain": 0.7022, "IoU.chair": 0.5311, "IoU.car": 0.8048, "IoU.water": 0.511, "IoU.painting": 0.7112, "IoU.sofa": 0.613, "IoU.shelf": 0.4466, "IoU.house": 0.4095, "IoU.sea": 0.5075, "IoU.mirror": 0.6512, "IoU.rug": 0.6731, "IoU.field": 0.3098, "IoU.armchair": 0.3815, "IoU.seat": 0.5868, "IoU.fence": 0.4643, "IoU.desk": 0.4714, "IoU.rock": 0.4746, "IoU.wardrobe": 0.4865, "IoU.lamp": 0.5895, "IoU.bathtub": 0.744, "IoU.railing": 0.3474, "IoU.cushion": 0.5307, "IoU.base": 0.2367, "IoU.box": 0.2477, "IoU.column": 0.4417, "IoU.signboard": 0.3481, "IoU.chest of drawers": 0.3037, "IoU.counter": 0.2223, "IoU.sand": 0.4096, "IoU.sink": 0.6904, "IoU.skyscraper": 0.6891, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6975, "IoU.grandstand": 0.4829, "IoU.path": 0.2373, "IoU.stairs": 0.3323, "IoU.runway": 0.7099, "IoU.case": 0.3929, "IoU.pool table": 0.8922, "IoU.pillow": 0.52, "IoU.screen door": 0.623, "IoU.stairway": 0.314, "IoU.river": 0.085, "IoU.bridge": 0.6848, "IoU.bookcase": 0.4031, "IoU.blind": NaN, "IoU.coffee table": 0.5797, "IoU.toilet": 0.8185, "IoU.flower": 0.4117, "IoU.book": 0.4929, "IoU.hill": 0.1266, "IoU.bench": 0.3785, "IoU.countertop": 0.4985, "IoU.stove": 0.6939, "IoU.palm": 0.4826, "IoU.kitchen island": 0.3836, "IoU.computer": 0.6067, "IoU.swivel chair": 0.4253, "IoU.boat": 0.3974, "IoU.bar": 0.4434, "IoU.arcade machine": 0.6298, "IoU.hovel": 0.2648, "IoU.bus": 0.8547, "IoU.towel": 0.6644, "IoU.light": 0.5441, "IoU.truck": 0.2783, "IoU.tower": 0.2297, "IoU.chandelier": 0.6282, "IoU.awning": 0.2733, "IoU.streetlight": 0.2056, "IoU.booth": 0.5584, "IoU.television receiver": NaN, "IoU.airplane": 0.5689, "IoU.dirt track": 0.1784, "IoU.apparel": 0.3149, "IoU.pole": 0.1732, "IoU.land": 0.0404, "IoU.bannister": 0.1108, "IoU.escalator": 0.3055, "IoU.ottoman": 0.3203, "IoU.bottle": NaN, "IoU.buffet": 0.4525, "IoU.poster": 0.4348, "IoU.stage": 0.1497, "IoU.van": 0.3698, "IoU.ship": 0.6499, "IoU.fountain": 0.3704, "IoU.conveyer belt": 0.7631, "IoU.canopy": 0.182, "IoU.washer": 0.784, "IoU.plaything": 0.237, "IoU.swimming pool": 0.719, "IoU.stool": 0.4057, "IoU.barrel": 0.6769, "IoU.basket": 0.3196, "IoU.waterfall": 0.5954, "IoU.tent": 0.8705, "IoU.bag": 0.0972, "IoU.minibike": 0.7323, "IoU.cradle": NaN, "IoU.oven": 0.3342, "IoU.ball": 0.3284, "IoU.food": 0.3448, "IoU.step": 0.0423, "IoU.tank": 0.5607, "IoU.trade name": 0.2657, "IoU.microwave": 0.727, "IoU.pot": 0.4958, "IoU.animal": NaN, "IoU.bicycle": 0.5183, "IoU.lake": 0.519, "IoU.dishwasher": 0.517, "IoU.screen": 0.5372, "IoU.blanket": 0.1289, "IoU.sculpture": 0.6271, "IoU.hood": 0.5381, "IoU.sconce": 0.4363, "IoU.vase": 0.3462, "IoU.traffic light": 0.2712, "IoU.tray": 0.0868, "IoU.ashcan": 0.3749, "IoU.fan": 0.5736, "IoU.pier": 0.1418, "IoU.crt screen": 0.0305, "IoU.plate": 0.5274, "IoU.monitor": 0.1005, "IoU.bulletin board": 0.3385, "IoU.shower": 0.0345, "IoU.radiator": 0.6316, "IoU.glass": 0.1224, "IoU.clock": 0.255, "IoU.flag": 0.3339, "Acc.wall": 0.8785, "Acc.building": 0.9232, "Acc.sky": 0.9708, "Acc.floor": 0.8916, "Acc.tree": 0.8768, "Acc.ceiling": 0.9225, "Acc.road": 0.8898, "Acc.bed ": 0.9418, "Acc.windowpane": 0.7554, "Acc.grass": 0.8932, "Acc.cabinet": 0.7216, "Acc.sidewalk": 0.8299, "Acc.person": 0.901, "Acc.earth": 0.491, "Acc.door": 0.6018, "Acc.table": 0.7547, "Acc.mountain": 0.7359, "Acc.plant": 0.5978, "Acc.curtain": 0.8265, "Acc.chair": 0.645, "Acc.car": 0.8977, "Acc.water": 0.6586, "Acc.painting": 0.8452, "Acc.sofa": 0.7825, "Acc.shelf": 0.625, "Acc.house": 0.5312, "Acc.sea": 0.7065, "Acc.mirror": 0.7206, "Acc.rug": 0.7962, "Acc.field": 0.4393, "Acc.armchair": 0.636, "Acc.seat": 0.8199, "Acc.fence": 0.5692, "Acc.desk": 0.6596, "Acc.rock": 0.8134, "Acc.wardrobe": 0.674, "Acc.lamp": 0.7331, "Acc.bathtub": 0.8224, "Acc.railing": 0.4915, "Acc.cushion": 0.6976, "Acc.base": 0.3359, "Acc.box": 0.3294, "Acc.column": 0.5594, "Acc.signboard": 0.4985, "Acc.chest of drawers": 0.5528, "Acc.counter": 0.2874, "Acc.sand": 0.5737, "Acc.sink": 0.7625, "Acc.skyscraper": 0.8932, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7881, "Acc.grandstand": 0.7215, "Acc.path": 0.3958, "Acc.stairs": 0.4316, "Acc.runway": 0.9465, "Acc.case": 0.4747, "Acc.pool table": 0.9608, "Acc.pillow": 0.5844, "Acc.screen door": 0.7206, "Acc.stairway": 0.3733, "Acc.river": 0.2099, "Acc.bridge": 0.8031, "Acc.bookcase": 0.504, "Acc.blind": NaN, "Acc.coffee table": 0.8158, "Acc.toilet": 0.9045, "Acc.flower": 0.6258, "Acc.book": 0.7302, "Acc.hill": 0.143, "Acc.bench": 0.453, "Acc.countertop": 0.6772, "Acc.stove": 0.8342, "Acc.palm": 0.7747, "Acc.kitchen island": 0.7142, "Acc.computer": 0.7054, "Acc.swivel chair": 0.6346, "Acc.boat": 0.5229, "Acc.bar": 0.6179, "Acc.arcade machine": 0.686, "Acc.hovel": 0.2802, "Acc.bus": 0.9565, "Acc.towel": 0.8067, "Acc.light": 0.621, "Acc.truck": 0.3889, "Acc.tower": 0.3773, "Acc.chandelier": 0.7969, "Acc.awning": 0.3357, "Acc.streetlight": 0.2627, "Acc.booth": 0.6691, "Acc.television receiver": NaN, "Acc.airplane": 0.6484, "Acc.dirt track": 0.2509, "Acc.apparel": 0.4642, "Acc.pole": 0.2433, "Acc.land": 0.0588, "Acc.bannister": 0.1593, "Acc.escalator": 0.3945, "Acc.ottoman": 0.412, "Acc.bottle": NaN, "Acc.buffet": 0.5296, "Acc.poster": 0.5089, "Acc.stage": 0.2153, "Acc.van": 0.5309, "Acc.ship": 0.9652, "Acc.fountain": 0.3784, "Acc.conveyer belt": 0.9106, "Acc.canopy": 0.2816, "Acc.washer": 0.8155, "Acc.plaything": 0.3501, "Acc.swimming pool": 0.8202, "Acc.stool": 0.5989, "Acc.barrel": 0.8372, "Acc.basket": 0.4285, "Acc.waterfall": 0.8242, "Acc.tent": 0.9797, "Acc.bag": 0.1159, "Acc.minibike": 0.899, "Acc.cradle": NaN, "Acc.oven": 0.4738, "Acc.ball": 0.4476, "Acc.food": 0.3952, "Acc.step": 0.0461, "Acc.tank": 0.6451, "Acc.trade name": 0.2888, "Acc.microwave": 0.8577, "Acc.pot": 0.5529, "Acc.animal": NaN, "Acc.bicycle": 0.7338, "Acc.lake": 0.67, "Acc.dishwasher": 0.6802, "Acc.screen": 0.7439, "Acc.blanket": 0.1517, "Acc.sculpture": 0.7521, "Acc.hood": 0.6496, "Acc.sconce": 0.5207, "Acc.vase": 0.4646, "Acc.traffic light": 0.3619, "Acc.tray": 0.2004, "Acc.ashcan": 0.4945, "Acc.fan": 0.7081, "Acc.pier": 0.2232, "Acc.crt screen": 0.1158, "Acc.plate": 0.6521, "Acc.monitor": 0.1294, "Acc.bulletin board": 0.4532, "Acc.shower": 0.1207, "Acc.radiator": 0.7373, "Acc.glass": 0.1299, "Acc.clock": 0.2959, "Acc.flag": 0.3666} -{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 22752, "data_time": 1.61356, "decode.loss_seg": 0.18557, "decode.acc_seg": 75.06385, "aux.loss_seg": 0.09502, "aux.acc_seg": 73.69406, "loss": 0.28058, "time": 2.26499} -{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.18391, "decode.acc_seg": 74.21547, "aux.loss_seg": 0.09502, "aux.acc_seg": 72.84411, "loss": 0.27892, "time": 0.67149} -{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18357, "decode.acc_seg": 74.81987, "aux.loss_seg": 0.09539, "aux.acc_seg": 73.40698, "loss": 0.27896, "time": 0.66569} -{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.18161, "decode.acc_seg": 74.14795, "aux.loss_seg": 0.09414, "aux.acc_seg": 72.80707, "loss": 0.27576, "time": 0.66771} -{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.18105, "decode.acc_seg": 74.83965, "aux.loss_seg": 0.09271, "aux.acc_seg": 73.49076, "loss": 0.27376, "time": 0.67036} -{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.19204, "decode.acc_seg": 76.00939, "aux.loss_seg": 0.09829, "aux.acc_seg": 74.65617, "loss": 0.29033, "time": 0.67587} -{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.18081, "decode.acc_seg": 73.99325, "aux.loss_seg": 0.09257, "aux.acc_seg": 72.68662, "loss": 0.27337, "time": 0.65292} -{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.1834, "decode.acc_seg": 73.6715, "aux.loss_seg": 0.09469, "aux.acc_seg": 72.32673, "loss": 0.27809, "time": 0.65663} -{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.18726, "decode.acc_seg": 74.57978, "aux.loss_seg": 0.09558, "aux.acc_seg": 73.21546, "loss": 0.28284, "time": 0.67217} -{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.18712, "decode.acc_seg": 73.99834, "aux.loss_seg": 0.09498, "aux.acc_seg": 72.6427, "loss": 0.2821, "time": 0.64876} -{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.19498, "decode.acc_seg": 74.05044, "aux.loss_seg": 0.09881, "aux.acc_seg": 72.62131, "loss": 0.29378, "time": 0.65505} -{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.19138, "decode.acc_seg": 73.79824, "aux.loss_seg": 0.10008, "aux.acc_seg": 72.32327, "loss": 0.29146, "time": 0.66921} -{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.20878, "decode.acc_seg": 75.30569, "aux.loss_seg": 0.10339, "aux.acc_seg": 73.91492, "loss": 0.31218, "time": 0.64324} -{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.18327, "decode.acc_seg": 74.59469, "aux.loss_seg": 0.09454, "aux.acc_seg": 73.11602, "loss": 0.27782, "time": 0.66778} -{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 22752, "data_time": 0.00832, "decode.loss_seg": 0.19252, "decode.acc_seg": 74.71561, "aux.loss_seg": 0.09825, "aux.acc_seg": 73.36091, "loss": 0.29077, "time": 0.65885} -{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.18602, "decode.acc_seg": 74.82538, "aux.loss_seg": 0.09486, "aux.acc_seg": 73.50066, "loss": 0.28088, "time": 0.65795} -{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.18164, "decode.acc_seg": 73.9898, "aux.loss_seg": 0.09122, "aux.acc_seg": 72.7968, "loss": 0.27287, "time": 0.66799} -{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.18033, "decode.acc_seg": 74.85333, "aux.loss_seg": 0.09277, "aux.acc_seg": 73.60427, "loss": 0.2731, "time": 0.65722} -{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.18582, "decode.acc_seg": 74.59785, "aux.loss_seg": 0.09504, "aux.acc_seg": 73.31539, "loss": 0.28086, "time": 0.66064} -{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17902, "decode.acc_seg": 75.01898, "aux.loss_seg": 0.09198, "aux.acc_seg": 73.64624, "loss": 0.271, "time": 0.67296} -{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.18876, "decode.acc_seg": 74.70475, "aux.loss_seg": 0.09654, "aux.acc_seg": 73.3056, "loss": 0.2853, "time": 0.66731} -{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.18344, "decode.acc_seg": 75.83317, "aux.loss_seg": 0.09547, "aux.acc_seg": 74.46653, "loss": 0.27891, "time": 0.649} -{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.17909, "decode.acc_seg": 73.12287, "aux.loss_seg": 0.09226, "aux.acc_seg": 71.88485, "loss": 0.27135, "time": 0.64571} -{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.18265, "decode.acc_seg": 74.81934, "aux.loss_seg": 0.09513, "aux.acc_seg": 73.39272, "loss": 0.27779, "time": 0.65292} -{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.19873, "decode.acc_seg": 74.60523, "aux.loss_seg": 0.09914, "aux.acc_seg": 73.36891, "loss": 0.29787, "time": 0.66985} -{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 22752, "data_time": 0.22985, "decode.loss_seg": 0.17608, "decode.acc_seg": 75.4758, "aux.loss_seg": 0.09019, "aux.acc_seg": 74.25754, "loss": 0.26627, "time": 0.87856} -{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.17633, "decode.acc_seg": 73.97581, "aux.loss_seg": 0.09186, "aux.acc_seg": 72.62577, "loss": 0.26819, "time": 0.65634} -{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.17768, "decode.acc_seg": 75.61181, "aux.loss_seg": 0.09289, "aux.acc_seg": 74.21309, "loss": 0.27058, "time": 0.64491} -{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.18781, "decode.acc_seg": 75.35697, "aux.loss_seg": 0.0959, "aux.acc_seg": 74.04304, "loss": 0.28372, "time": 0.67167} -{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17938, "decode.acc_seg": 75.05637, "aux.loss_seg": 0.09284, "aux.acc_seg": 73.69395, "loss": 0.27221, "time": 0.66572} -{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.17595, "decode.acc_seg": 73.26184, "aux.loss_seg": 0.09062, "aux.acc_seg": 71.94396, "loss": 0.26657, "time": 0.67908} -{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.17801, "decode.acc_seg": 74.41321, "aux.loss_seg": 0.09175, "aux.acc_seg": 73.12814, "loss": 0.26976, "time": 0.68606} -{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.17965, "decode.acc_seg": 73.44666, "aux.loss_seg": 0.09273, "aux.acc_seg": 72.04749, "loss": 0.27238, "time": 0.65485} -{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.17681, "decode.acc_seg": 73.13024, "aux.loss_seg": 0.09236, "aux.acc_seg": 71.73115, "loss": 0.26917, "time": 0.65838} -{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.17774, "decode.acc_seg": 73.4749, "aux.loss_seg": 0.08892, "aux.acc_seg": 72.38213, "loss": 0.26666, "time": 0.66565} -{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.18266, "decode.acc_seg": 73.97329, "aux.loss_seg": 0.09247, "aux.acc_seg": 72.67247, "loss": 0.27513, "time": 0.66342} -{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.19154, "decode.acc_seg": 74.36853, "aux.loss_seg": 0.09673, "aux.acc_seg": 73.15938, "loss": 0.28827, "time": 0.67044} -{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.18903, "decode.acc_seg": 74.08496, "aux.loss_seg": 0.09581, "aux.acc_seg": 72.79144, "loss": 0.28484, "time": 0.67359} -{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.18752, "decode.acc_seg": 73.66496, "aux.loss_seg": 0.09726, "aux.acc_seg": 72.23896, "loss": 0.28478, "time": 0.6648} -{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.18084, "decode.acc_seg": 73.4152, "aux.loss_seg": 0.09217, "aux.acc_seg": 72.15186, "loss": 0.273, "time": 0.65073} -{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.18883, "decode.acc_seg": 74.42811, "aux.loss_seg": 0.09693, "aux.acc_seg": 73.037, "loss": 0.28576, "time": 0.66} -{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.18916, "decode.acc_seg": 74.54553, "aux.loss_seg": 0.09818, "aux.acc_seg": 73.01579, "loss": 0.28734, "time": 0.66477} -{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.18066, "decode.acc_seg": 75.37054, "aux.loss_seg": 0.09342, "aux.acc_seg": 73.98226, "loss": 0.27408, "time": 0.65521} -{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.18826, "decode.acc_seg": 75.20924, "aux.loss_seg": 0.09728, "aux.acc_seg": 73.7174, "loss": 0.28554, "time": 0.65923} -{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.16569, "decode.acc_seg": 73.70426, "aux.loss_seg": 0.08566, "aux.acc_seg": 72.34852, "loss": 0.25136, "time": 0.66979} -{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.18217, "decode.acc_seg": 74.19758, "aux.loss_seg": 0.09181, "aux.acc_seg": 72.9083, "loss": 0.27398, "time": 0.66362} -{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.18546, "decode.acc_seg": 76.07292, "aux.loss_seg": 0.09502, "aux.acc_seg": 74.6323, "loss": 0.28048, "time": 0.65738} -{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.17612, "decode.acc_seg": 75.54465, "aux.loss_seg": 0.09126, "aux.acc_seg": 74.14752, "loss": 0.26737, "time": 0.67426} -{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.17924, "decode.acc_seg": 74.79723, "aux.loss_seg": 0.09363, "aux.acc_seg": 73.3086, "loss": 0.27287, "time": 0.65418} -{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 22752, "data_time": 0.00872, "decode.loss_seg": 0.19021, "decode.acc_seg": 74.52073, "aux.loss_seg": 0.09736, "aux.acc_seg": 73.13896, "loss": 0.28757, "time": 0.66443} -{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 22752, "data_time": 0.22948, "decode.loss_seg": 0.18234, "decode.acc_seg": 74.20966, "aux.loss_seg": 0.09348, "aux.acc_seg": 72.86207, "loss": 0.27581, "time": 0.8857} -{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.1771, "decode.acc_seg": 74.62742, "aux.loss_seg": 0.09029, "aux.acc_seg": 73.37925, "loss": 0.26739, "time": 0.65772} -{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.17214, "decode.acc_seg": 75.52226, "aux.loss_seg": 0.09045, "aux.acc_seg": 74.10695, "loss": 0.2626, "time": 0.66355} -{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17922, "decode.acc_seg": 75.05206, "aux.loss_seg": 0.0917, "aux.acc_seg": 73.77919, "loss": 0.27091, "time": 0.67858} -{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.17501, "decode.acc_seg": 75.01359, "aux.loss_seg": 0.09047, "aux.acc_seg": 73.70022, "loss": 0.26548, "time": 0.65363} -{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.17907, "decode.acc_seg": 74.70052, "aux.loss_seg": 0.09191, "aux.acc_seg": 73.39646, "loss": 0.27098, "time": 0.66988} -{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.18702, "decode.acc_seg": 75.16312, "aux.loss_seg": 0.09401, "aux.acc_seg": 73.86565, "loss": 0.28103, "time": 0.64692} -{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.18717, "decode.acc_seg": 75.95635, "aux.loss_seg": 0.09468, "aux.acc_seg": 74.67729, "loss": 0.28184, "time": 0.65441} -{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.17839, "decode.acc_seg": 73.81143, "aux.loss_seg": 0.09039, "aux.acc_seg": 72.65691, "loss": 0.26878, "time": 0.6657} -{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.19209, "decode.acc_seg": 74.54318, "aux.loss_seg": 0.09766, "aux.acc_seg": 73.2349, "loss": 0.28975, "time": 0.66361} -{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.18849, "decode.acc_seg": 72.45549, "aux.loss_seg": 0.09694, "aux.acc_seg": 71.02768, "loss": 0.28543, "time": 0.66835} -{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.17896, "decode.acc_seg": 74.30035, "aux.loss_seg": 0.09355, "aux.acc_seg": 72.85323, "loss": 0.27251, "time": 0.64768} -{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.18294, "decode.acc_seg": 75.19184, "aux.loss_seg": 0.09468, "aux.acc_seg": 73.80838, "loss": 0.27762, "time": 0.6738} -{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.19448, "decode.acc_seg": 74.79759, "aux.loss_seg": 0.10034, "aux.acc_seg": 73.38622, "loss": 0.29481, "time": 0.65} -{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.17804, "decode.acc_seg": 75.28991, "aux.loss_seg": 0.09093, "aux.acc_seg": 74.01769, "loss": 0.26897, "time": 0.63432} -{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.17951, "decode.acc_seg": 75.51145, "aux.loss_seg": 0.09001, "aux.acc_seg": 74.29554, "loss": 0.26952, "time": 0.6562} -{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.18885, "decode.acc_seg": 76.20137, "aux.loss_seg": 0.09656, "aux.acc_seg": 74.84425, "loss": 0.28541, "time": 0.67258} -{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.18382, "decode.acc_seg": 74.0794, "aux.loss_seg": 0.09507, "aux.acc_seg": 72.77826, "loss": 0.2789, "time": 0.66512} -{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.18677, "decode.acc_seg": 74.40507, "aux.loss_seg": 0.09721, "aux.acc_seg": 73.0288, "loss": 0.28399, "time": 0.66017} -{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.19341, "decode.acc_seg": 75.85169, "aux.loss_seg": 0.09674, "aux.acc_seg": 74.63232, "loss": 0.29015, "time": 0.64753} -{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18743, "decode.acc_seg": 75.13722, "aux.loss_seg": 0.09617, "aux.acc_seg": 73.82962, "loss": 0.2836, "time": 0.65965} -{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.18705, "decode.acc_seg": 74.61265, "aux.loss_seg": 0.0958, "aux.acc_seg": 73.33097, "loss": 0.28285, "time": 0.66453} -{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.18708, "decode.acc_seg": 75.02167, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.77245, "loss": 0.28144, "time": 0.65432} -{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.17468, "decode.acc_seg": 74.0971, "aux.loss_seg": 0.09018, "aux.acc_seg": 72.77319, "loss": 0.26486, "time": 0.65603} -{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.17227, "decode.acc_seg": 74.79782, "aux.loss_seg": 0.08897, "aux.acc_seg": 73.51417, "loss": 0.26125, "time": 0.66193} -{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 22752, "data_time": 0.23144, "decode.loss_seg": 0.17712, "decode.acc_seg": 74.66125, "aux.loss_seg": 0.0905, "aux.acc_seg": 73.42861, "loss": 0.26762, "time": 0.88969} -{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.1793, "decode.acc_seg": 74.83171, "aux.loss_seg": 0.09201, "aux.acc_seg": 73.53928, "loss": 0.27131, "time": 0.66701} -{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.17843, "decode.acc_seg": 74.1026, "aux.loss_seg": 0.0924, "aux.acc_seg": 72.7404, "loss": 0.27083, "time": 0.6514} -{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.18046, "decode.acc_seg": 73.75593, "aux.loss_seg": 0.09462, "aux.acc_seg": 72.25846, "loss": 0.27508, "time": 0.67515} -{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 22752, "data_time": 0.00786, "decode.loss_seg": 0.1886, "decode.acc_seg": 74.10144, "aux.loss_seg": 0.09706, "aux.acc_seg": 72.68264, "loss": 0.28567, "time": 0.65617} -{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.18526, "decode.acc_seg": 74.77547, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.35818, "loss": 0.28068, "time": 0.67296} -{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.17763, "decode.acc_seg": 74.37461, "aux.loss_seg": 0.0901, "aux.acc_seg": 73.03569, "loss": 0.26773, "time": 0.65185} -{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.19634, "decode.acc_seg": 75.69811, "aux.loss_seg": 0.09928, "aux.acc_seg": 74.35083, "loss": 0.29562, "time": 0.65524} -{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.18123, "decode.acc_seg": 75.07732, "aux.loss_seg": 0.09244, "aux.acc_seg": 73.73188, "loss": 0.27367, "time": 0.66493} -{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.18539, "decode.acc_seg": 73.85404, "aux.loss_seg": 0.0946, "aux.acc_seg": 72.52485, "loss": 0.28, "time": 0.65939} -{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.18342, "decode.acc_seg": 75.93781, "aux.loss_seg": 0.09564, "aux.acc_seg": 74.57275, "loss": 0.27906, "time": 0.67053} -{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.19897, "decode.acc_seg": 73.52848, "aux.loss_seg": 0.1014, "aux.acc_seg": 72.14464, "loss": 0.30037, "time": 0.66547} -{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.17791, "decode.acc_seg": 75.29118, "aux.loss_seg": 0.09139, "aux.acc_seg": 74.05823, "loss": 0.26931, "time": 0.64518} -{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.19113, "decode.acc_seg": 74.90813, "aux.loss_seg": 0.09738, "aux.acc_seg": 73.54186, "loss": 0.28851, "time": 0.63808} -{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.18383, "decode.acc_seg": 75.72449, "aux.loss_seg": 0.09504, "aux.acc_seg": 74.30039, "loss": 0.27887, "time": 0.65086} -{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.18259, "decode.acc_seg": 74.23455, "aux.loss_seg": 0.094, "aux.acc_seg": 72.88358, "loss": 0.2766, "time": 0.66667} -{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.17344, "decode.acc_seg": 73.54514, "aux.loss_seg": 0.08912, "aux.acc_seg": 72.17596, "loss": 0.26256, "time": 0.67414} -{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.18348, "decode.acc_seg": 73.5632, "aux.loss_seg": 0.09533, "aux.acc_seg": 72.23821, "loss": 0.27881, "time": 0.65378} -{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.17609, "decode.acc_seg": 75.25322, "aux.loss_seg": 0.09127, "aux.acc_seg": 73.82622, "loss": 0.26736, "time": 0.66694} -{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.18763, "decode.acc_seg": 75.06993, "aux.loss_seg": 0.09695, "aux.acc_seg": 73.59292, "loss": 0.28458, "time": 0.65568} -{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17359, "decode.acc_seg": 74.13478, "aux.loss_seg": 0.08937, "aux.acc_seg": 72.82276, "loss": 0.26296, "time": 0.65525} -{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.17443, "decode.acc_seg": 74.97064, "aux.loss_seg": 0.09028, "aux.acc_seg": 73.63765, "loss": 0.26472, "time": 0.65515} -{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.17439, "decode.acc_seg": 75.25771, "aux.loss_seg": 0.08849, "aux.acc_seg": 74.02959, "loss": 0.26287, "time": 0.65004} -{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.19085, "decode.acc_seg": 73.93592, "aux.loss_seg": 0.09844, "aux.acc_seg": 72.49522, "loss": 0.28929, "time": 0.64986} -{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.19007, "decode.acc_seg": 74.81508, "aux.loss_seg": 0.09634, "aux.acc_seg": 73.45991, "loss": 0.28641, "time": 0.66577} -{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 22752, "data_time": 0.22836, "decode.loss_seg": 0.1936, "decode.acc_seg": 75.87962, "aux.loss_seg": 0.10008, "aux.acc_seg": 74.43164, "loss": 0.29367, "time": 0.87663} -{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.19057, "decode.acc_seg": 74.89712, "aux.loss_seg": 0.09733, "aux.acc_seg": 73.40413, "loss": 0.28791, "time": 0.65366} -{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.18905, "decode.acc_seg": 73.15104, "aux.loss_seg": 0.09732, "aux.acc_seg": 71.71359, "loss": 0.28638, "time": 0.67912} -{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.16738, "decode.acc_seg": 74.46402, "aux.loss_seg": 0.08682, "aux.acc_seg": 73.13433, "loss": 0.2542, "time": 0.67503} -{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.18917, "decode.acc_seg": 74.75848, "aux.loss_seg": 0.09628, "aux.acc_seg": 73.52714, "loss": 0.28545, "time": 0.66878} -{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.17945, "decode.acc_seg": 75.74246, "aux.loss_seg": 0.09331, "aux.acc_seg": 74.37902, "loss": 0.27275, "time": 0.6574} -{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.18445, "decode.acc_seg": 75.51057, "aux.loss_seg": 0.09422, "aux.acc_seg": 74.18216, "loss": 0.27868, "time": 0.66276} -{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.17228, "decode.acc_seg": 75.47691, "aux.loss_seg": 0.08862, "aux.acc_seg": 74.20126, "loss": 0.2609, "time": 0.65794} -{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.17006, "decode.acc_seg": 74.09131, "aux.loss_seg": 0.08834, "aux.acc_seg": 72.76129, "loss": 0.2584, "time": 0.66844} -{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.17871, "decode.acc_seg": 74.03571, "aux.loss_seg": 0.09232, "aux.acc_seg": 72.65094, "loss": 0.27103, "time": 0.67302} -{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 22752, "data_time": 0.00854, "decode.loss_seg": 0.1792, "decode.acc_seg": 74.7553, "aux.loss_seg": 0.09197, "aux.acc_seg": 73.42825, "loss": 0.27118, "time": 0.63577} -{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.19242, "decode.acc_seg": 76.46156, "aux.loss_seg": 0.09826, "aux.acc_seg": 75.06002, "loss": 0.29068, "time": 0.67621} -{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.17886, "decode.acc_seg": 74.25377, "aux.loss_seg": 0.09316, "aux.acc_seg": 72.85439, "loss": 0.27202, "time": 0.66256} -{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.1882, "decode.acc_seg": 75.23045, "aux.loss_seg": 0.096, "aux.acc_seg": 73.904, "loss": 0.2842, "time": 0.65977} -{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.18777, "decode.acc_seg": 75.51704, "aux.loss_seg": 0.09717, "aux.acc_seg": 74.10505, "loss": 0.28494, "time": 0.66081} -{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.17061, "decode.acc_seg": 74.56428, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.16568, "loss": 0.26079, "time": 0.64983} -{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.17713, "decode.acc_seg": 74.57547, "aux.loss_seg": 0.09396, "aux.acc_seg": 73.09216, "loss": 0.27109, "time": 0.66573} -{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.17253, "decode.acc_seg": 74.00863, "aux.loss_seg": 0.09076, "aux.acc_seg": 72.54628, "loss": 0.26329, "time": 0.67001} -{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.17089, "decode.acc_seg": 73.96207, "aux.loss_seg": 0.08778, "aux.acc_seg": 72.65241, "loss": 0.25866, "time": 0.66284} -{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.17686, "decode.acc_seg": 74.70737, "aux.loss_seg": 0.09149, "aux.acc_seg": 73.37073, "loss": 0.26836, "time": 0.64762} -{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 22752, "data_time": 0.0086, "decode.loss_seg": 0.17526, "decode.acc_seg": 74.48922, "aux.loss_seg": 0.08915, "aux.acc_seg": 73.24905, "loss": 0.26442, "time": 0.66064} -{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.18141, "decode.acc_seg": 74.55901, "aux.loss_seg": 0.09457, "aux.acc_seg": 73.04895, "loss": 0.27598, "time": 0.67666} -{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.19097, "decode.acc_seg": 74.6861, "aux.loss_seg": 0.09758, "aux.acc_seg": 73.3001, "loss": 0.28855, "time": 0.68045} -{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 22752, "data_time": 0.01108, "decode.loss_seg": 0.17728, "decode.acc_seg": 74.22243, "aux.loss_seg": 0.08996, "aux.acc_seg": 72.94294, "loss": 0.26724, "time": 0.676} -{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.18317, "decode.acc_seg": 74.6485, "aux.loss_seg": 0.09499, "aux.acc_seg": 73.30492, "loss": 0.27816, "time": 0.65656} -{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.16954, "decode.acc_seg": 75.04815, "aux.loss_seg": 0.08691, "aux.acc_seg": 73.77485, "loss": 0.25645, "time": 0.67473} -{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 22752, "data_time": 0.22893, "decode.loss_seg": 0.16533, "decode.acc_seg": 74.36185, "aux.loss_seg": 0.08551, "aux.acc_seg": 73.08778, "loss": 0.25084, "time": 0.89264} -{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.17928, "decode.acc_seg": 75.39936, "aux.loss_seg": 0.09293, "aux.acc_seg": 74.03207, "loss": 0.27221, "time": 0.65781} -{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.17872, "decode.acc_seg": 74.67097, "aux.loss_seg": 0.09301, "aux.acc_seg": 73.25341, "loss": 0.27172, "time": 0.63067} -{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.17974, "decode.acc_seg": 76.26877, "aux.loss_seg": 0.09072, "aux.acc_seg": 75.14217, "loss": 0.27046, "time": 0.65572} -{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.17923, "decode.acc_seg": 74.11227, "aux.loss_seg": 0.09375, "aux.acc_seg": 72.63507, "loss": 0.27297, "time": 0.65594} -{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.17126, "decode.acc_seg": 74.91265, "aux.loss_seg": 0.08882, "aux.acc_seg": 73.63064, "loss": 0.26008, "time": 0.66778} -{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.16961, "decode.acc_seg": 74.98217, "aux.loss_seg": 0.08958, "aux.acc_seg": 73.50593, "loss": 0.25919, "time": 0.64142} -{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.1767, "decode.acc_seg": 75.97073, "aux.loss_seg": 0.09242, "aux.acc_seg": 74.52071, "loss": 0.26912, "time": 0.63831} -{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.16937, "decode.acc_seg": 74.25876, "aux.loss_seg": 0.08778, "aux.acc_seg": 72.89382, "loss": 0.25715, "time": 0.66488} -{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 22752, "data_time": 0.01094, "decode.loss_seg": 0.18418, "decode.acc_seg": 74.65349, "aux.loss_seg": 0.09372, "aux.acc_seg": 73.28718, "loss": 0.27789, "time": 0.68121} -{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 22752, "data_time": 0.00848, "decode.loss_seg": 0.18328, "decode.acc_seg": 73.93887, "aux.loss_seg": 0.09484, "aux.acc_seg": 72.54988, "loss": 0.27812, "time": 0.65262} -{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.17277, "decode.acc_seg": 74.49478, "aux.loss_seg": 0.09029, "aux.acc_seg": 73.10883, "loss": 0.26306, "time": 0.63893} -{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.17668, "decode.acc_seg": 73.68434, "aux.loss_seg": 0.09272, "aux.acc_seg": 72.33321, "loss": 0.26941, "time": 0.65855} -{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.18281, "decode.acc_seg": 74.22289, "aux.loss_seg": 0.09378, "aux.acc_seg": 72.89979, "loss": 0.27658, "time": 0.65444} -{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.18126, "decode.acc_seg": 74.75559, "aux.loss_seg": 0.0957, "aux.acc_seg": 73.23522, "loss": 0.27697, "time": 0.67005} -{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.17032, "decode.acc_seg": 74.44426, "aux.loss_seg": 0.08901, "aux.acc_seg": 73.07997, "loss": 0.25933, "time": 0.67213} -{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.17963, "decode.acc_seg": 75.81321, "aux.loss_seg": 0.09295, "aux.acc_seg": 74.51457, "loss": 0.27258, "time": 0.66507} -{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.17478, "decode.acc_seg": 75.36198, "aux.loss_seg": 0.08972, "aux.acc_seg": 74.15221, "loss": 0.2645, "time": 0.64465} -{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.16766, "decode.acc_seg": 74.02041, "aux.loss_seg": 0.08843, "aux.acc_seg": 72.59404, "loss": 0.25609, "time": 0.65551} -{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.17439, "decode.acc_seg": 74.9305, "aux.loss_seg": 0.08983, "aux.acc_seg": 73.65712, "loss": 0.26422, "time": 0.66291} -{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.17404, "decode.acc_seg": 74.00766, "aux.loss_seg": 0.09016, "aux.acc_seg": 72.68537, "loss": 0.2642, "time": 0.66377} -{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.18026, "decode.acc_seg": 74.26748, "aux.loss_seg": 0.09195, "aux.acc_seg": 72.95755, "loss": 0.27221, "time": 0.66813} -{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.16836, "decode.acc_seg": 75.13457, "aux.loss_seg": 0.08794, "aux.acc_seg": 73.80499, "loss": 0.2563, "time": 0.65062} -{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.18396, "decode.acc_seg": 75.5263, "aux.loss_seg": 0.09433, "aux.acc_seg": 74.18085, "loss": 0.27829, "time": 0.65253} -{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.18961, "decode.acc_seg": 74.6626, "aux.loss_seg": 0.09723, "aux.acc_seg": 73.30644, "loss": 0.28685, "time": 0.66434} -{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 22752, "data_time": 0.23069, "decode.loss_seg": 0.17277, "decode.acc_seg": 75.22317, "aux.loss_seg": 0.08894, "aux.acc_seg": 73.95826, "loss": 0.26172, "time": 0.87344} -{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.17552, "decode.acc_seg": 74.59155, "aux.loss_seg": 0.09179, "aux.acc_seg": 73.23667, "loss": 0.26731, "time": 0.65476} -{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.18043, "decode.acc_seg": 75.49512, "aux.loss_seg": 0.09416, "aux.acc_seg": 74.0511, "loss": 0.27458, "time": 0.66641} -{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.17918, "decode.acc_seg": 75.40211, "aux.loss_seg": 0.09295, "aux.acc_seg": 73.90984, "loss": 0.27213, "time": 0.65793} -{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.17264, "decode.acc_seg": 75.6435, "aux.loss_seg": 0.08838, "aux.acc_seg": 74.54408, "loss": 0.26102, "time": 0.6732} -{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.17204, "decode.acc_seg": 76.14501, "aux.loss_seg": 0.08893, "aux.acc_seg": 74.81722, "loss": 0.26096, "time": 0.65767} -{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 22752, "data_time": 0.00783, "decode.loss_seg": 0.16236, "decode.acc_seg": 76.54626, "aux.loss_seg": 0.08719, "aux.acc_seg": 75.01236, "loss": 0.24956, "time": 0.65121} -{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.18571, "decode.acc_seg": 74.4235, "aux.loss_seg": 0.09482, "aux.acc_seg": 73.13601, "loss": 0.28053, "time": 0.66239} -{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.17424, "decode.acc_seg": 75.17331, "aux.loss_seg": 0.09062, "aux.acc_seg": 73.89279, "loss": 0.26486, "time": 0.63234} -{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 22752, "data_time": 0.00788, "decode.loss_seg": 0.19044, "decode.acc_seg": 75.68196, "aux.loss_seg": 0.09577, "aux.acc_seg": 74.43759, "loss": 0.28621, "time": 0.65986} -{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.18169, "decode.acc_seg": 74.53905, "aux.loss_seg": 0.0932, "aux.acc_seg": 73.14655, "loss": 0.27489, "time": 0.66481} -{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.17299, "decode.acc_seg": 74.6826, "aux.loss_seg": 0.08901, "aux.acc_seg": 73.38993, "loss": 0.26201, "time": 0.67905} -{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.18484, "decode.acc_seg": 74.9807, "aux.loss_seg": 0.09482, "aux.acc_seg": 73.68108, "loss": 0.27966, "time": 0.67094} -{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 22752, "data_time": 0.0078, "decode.loss_seg": 0.18004, "decode.acc_seg": 74.07576, "aux.loss_seg": 0.0916, "aux.acc_seg": 72.76042, "loss": 0.27164, "time": 0.663} -{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.16976, "decode.acc_seg": 75.03144, "aux.loss_seg": 0.08827, "aux.acc_seg": 73.72844, "loss": 0.25803, "time": 0.64243} -{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.17371, "decode.acc_seg": 74.94111, "aux.loss_seg": 0.08996, "aux.acc_seg": 73.6099, "loss": 0.26367, "time": 0.65394} -{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.17526, "decode.acc_seg": 74.39772, "aux.loss_seg": 0.09141, "aux.acc_seg": 72.9724, "loss": 0.26667, "time": 0.66005} -{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.18304, "decode.acc_seg": 73.60519, "aux.loss_seg": 0.09284, "aux.acc_seg": 72.26062, "loss": 0.27588, "time": 0.65288} -{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.18652, "decode.acc_seg": 75.60098, "aux.loss_seg": 0.09409, "aux.acc_seg": 74.31493, "loss": 0.28061, "time": 0.64216} -{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.1825, "decode.acc_seg": 75.21415, "aux.loss_seg": 0.09384, "aux.acc_seg": 73.93738, "loss": 0.27635, "time": 0.65385} -{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 22752, "data_time": 0.00784, "decode.loss_seg": 0.1768, "decode.acc_seg": 73.84104, "aux.loss_seg": 0.09071, "aux.acc_seg": 72.5788, "loss": 0.2675, "time": 0.65191} -{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.18269, "decode.acc_seg": 73.65498, "aux.loss_seg": 0.09358, "aux.acc_seg": 72.37442, "loss": 0.27627, "time": 0.67937} -{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.17999, "decode.acc_seg": 74.02722, "aux.loss_seg": 0.09329, "aux.acc_seg": 72.60182, "loss": 0.27328, "time": 0.65934} -{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.18024, "decode.acc_seg": 76.32933, "aux.loss_seg": 0.0915, "aux.acc_seg": 75.11947, "loss": 0.27174, "time": 0.67206} -{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.17968, "decode.acc_seg": 74.00003, "aux.loss_seg": 0.09372, "aux.acc_seg": 72.55803, "loss": 0.27341, "time": 0.64627} -{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 22752, "data_time": 0.22799, "decode.loss_seg": 0.17967, "decode.acc_seg": 74.35389, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.14359, "loss": 0.26986, "time": 0.85676} -{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.16807, "decode.acc_seg": 75.03112, "aux.loss_seg": 0.08817, "aux.acc_seg": 73.67753, "loss": 0.25624, "time": 0.65544} -{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.18204, "decode.acc_seg": 74.27999, "aux.loss_seg": 0.09421, "aux.acc_seg": 72.89148, "loss": 0.27625, "time": 0.65781} -{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.17598, "decode.acc_seg": 75.71113, "aux.loss_seg": 0.09122, "aux.acc_seg": 74.41913, "loss": 0.26721, "time": 0.64134} -{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.1672, "decode.acc_seg": 74.28089, "aux.loss_seg": 0.08521, "aux.acc_seg": 73.10062, "loss": 0.25241, "time": 0.64596} -{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.1751, "decode.acc_seg": 73.06278, "aux.loss_seg": 0.09265, "aux.acc_seg": 71.51356, "loss": 0.26775, "time": 0.65295} -{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.16611, "decode.acc_seg": 75.64072, "aux.loss_seg": 0.08849, "aux.acc_seg": 74.08874, "loss": 0.2546, "time": 0.67619} -{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.18413, "decode.acc_seg": 75.37751, "aux.loss_seg": 0.09418, "aux.acc_seg": 74.05197, "loss": 0.27831, "time": 0.67157} -{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.17296, "decode.acc_seg": 74.49469, "aux.loss_seg": 0.09027, "aux.acc_seg": 73.06131, "loss": 0.26323, "time": 0.65394} -{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.1723, "decode.acc_seg": 76.3038, "aux.loss_seg": 0.08862, "aux.acc_seg": 74.98173, "loss": 0.26092, "time": 0.66547} -{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.17844, "decode.acc_seg": 76.10269, "aux.loss_seg": 0.09455, "aux.acc_seg": 74.58698, "loss": 0.273, "time": 0.66756} -{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.17357, "decode.acc_seg": 75.30432, "aux.loss_seg": 0.09082, "aux.acc_seg": 73.97597, "loss": 0.26439, "time": 0.65915} -{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 22752, "data_time": 0.00985, "decode.loss_seg": 0.17198, "decode.acc_seg": 74.37101, "aux.loss_seg": 0.08898, "aux.acc_seg": 73.06498, "loss": 0.26096, "time": 0.66348} -{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.17086, "decode.acc_seg": 74.33198, "aux.loss_seg": 0.08771, "aux.acc_seg": 73.03985, "loss": 0.25857, "time": 0.6523} -{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.17135, "decode.acc_seg": 75.99378, "aux.loss_seg": 0.08922, "aux.acc_seg": 74.655, "loss": 0.26057, "time": 0.63982} -{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.16636, "decode.acc_seg": 74.87895, "aux.loss_seg": 0.0877, "aux.acc_seg": 73.4788, "loss": 0.25406, "time": 0.66278} -{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.16848, "decode.acc_seg": 75.01869, "aux.loss_seg": 0.08673, "aux.acc_seg": 73.80831, "loss": 0.25521, "time": 0.67461} -{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.17561, "decode.acc_seg": 75.61295, "aux.loss_seg": 0.09247, "aux.acc_seg": 74.14335, "loss": 0.26807, "time": 0.67329} -{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.1801, "decode.acc_seg": 74.11356, "aux.loss_seg": 0.09393, "aux.acc_seg": 72.69057, "loss": 0.27403, "time": 0.66219} -{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.18375, "decode.acc_seg": 75.22967, "aux.loss_seg": 0.09452, "aux.acc_seg": 73.88103, "loss": 0.27827, "time": 0.66235} -{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.18395, "decode.acc_seg": 74.25812, "aux.loss_seg": 0.09211, "aux.acc_seg": 73.03181, "loss": 0.27607, "time": 0.66025} -{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.18349, "decode.acc_seg": 74.57947, "aux.loss_seg": 0.09534, "aux.acc_seg": 73.04353, "loss": 0.27883, "time": 0.64897} -{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.1731, "decode.acc_seg": 75.32007, "aux.loss_seg": 0.08915, "aux.acc_seg": 74.00064, "loss": 0.26225, "time": 0.67025} -{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.17569, "decode.acc_seg": 74.30792, "aux.loss_seg": 0.09057, "aux.acc_seg": 72.91376, "loss": 0.26626, "time": 0.65829} -{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.17459, "decode.acc_seg": 75.62843, "aux.loss_seg": 0.09036, "aux.acc_seg": 74.33703, "loss": 0.26495, "time": 0.66452} -{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 22752, "data_time": 0.22933, "decode.loss_seg": 0.1739, "decode.acc_seg": 75.54287, "aux.loss_seg": 0.09027, "aux.acc_seg": 74.2001, "loss": 0.26417, "time": 0.8791} -{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.17009, "decode.acc_seg": 75.82564, "aux.loss_seg": 0.08874, "aux.acc_seg": 74.47683, "loss": 0.25882, "time": 0.64709} -{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.17263, "decode.acc_seg": 75.74789, "aux.loss_seg": 0.09068, "aux.acc_seg": 74.34574, "loss": 0.26331, "time": 0.67001} -{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.17383, "decode.acc_seg": 75.15263, "aux.loss_seg": 0.09123, "aux.acc_seg": 73.75861, "loss": 0.26506, "time": 0.66431} -{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.17403, "decode.acc_seg": 75.46662, "aux.loss_seg": 0.08872, "aux.acc_seg": 74.24418, "loss": 0.26275, "time": 0.67564} -{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.17934, "decode.acc_seg": 75.3791, "aux.loss_seg": 0.09394, "aux.acc_seg": 73.86137, "loss": 0.27327, "time": 0.67801} -{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.17174, "decode.acc_seg": 75.19344, "aux.loss_seg": 0.08852, "aux.acc_seg": 73.91653, "loss": 0.26026, "time": 0.67748} -{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.16878, "decode.acc_seg": 74.37006, "aux.loss_seg": 0.08607, "aux.acc_seg": 73.1455, "loss": 0.25485, "time": 0.66574} -{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.1723, "decode.acc_seg": 75.20255, "aux.loss_seg": 0.08995, "aux.acc_seg": 73.84007, "loss": 0.26225, "time": 0.66959} -{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.1646, "decode.acc_seg": 75.04777, "aux.loss_seg": 0.08708, "aux.acc_seg": 73.65795, "loss": 0.25168, "time": 0.67202} -{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.16413, "decode.acc_seg": 73.90404, "aux.loss_seg": 0.08616, "aux.acc_seg": 72.52804, "loss": 0.25028, "time": 0.66981} -{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.17826, "decode.acc_seg": 75.04239, "aux.loss_seg": 0.09106, "aux.acc_seg": 73.79458, "loss": 0.26932, "time": 0.66537} -{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.17416, "decode.acc_seg": 75.79176, "aux.loss_seg": 0.08995, "aux.acc_seg": 74.42427, "loss": 0.26411, "time": 0.65185} -{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.17547, "decode.acc_seg": 74.7931, "aux.loss_seg": 0.09052, "aux.acc_seg": 73.46202, "loss": 0.26599, "time": 0.66423} -{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.17472, "decode.acc_seg": 75.79611, "aux.loss_seg": 0.09079, "aux.acc_seg": 74.41274, "loss": 0.26551, "time": 0.65886} -{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 22752, "data_time": 0.00851, "decode.loss_seg": 0.18008, "decode.acc_seg": 75.40203, "aux.loss_seg": 0.09226, "aux.acc_seg": 74.10588, "loss": 0.27234, "time": 0.64455} -{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.16784, "decode.acc_seg": 75.40861, "aux.loss_seg": 0.08677, "aux.acc_seg": 74.11779, "loss": 0.25461, "time": 0.6584} -{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.16588, "decode.acc_seg": 73.17765, "aux.loss_seg": 0.08639, "aux.acc_seg": 71.83917, "loss": 0.25227, "time": 0.66903} -{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.17376, "decode.acc_seg": 75.18837, "aux.loss_seg": 0.09118, "aux.acc_seg": 73.70199, "loss": 0.26494, "time": 0.66094} -{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.16317, "decode.acc_seg": 73.45816, "aux.loss_seg": 0.08523, "aux.acc_seg": 72.17674, "loss": 0.24839, "time": 0.67681} -{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.17512, "decode.acc_seg": 75.50795, "aux.loss_seg": 0.09075, "aux.acc_seg": 74.06482, "loss": 0.26586, "time": 0.64368} -{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.18014, "decode.acc_seg": 72.35273, "aux.loss_seg": 0.09015, "aux.acc_seg": 71.17376, "loss": 0.27028, "time": 0.66623} -{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.17323, "decode.acc_seg": 76.12014, "aux.loss_seg": 0.08943, "aux.acc_seg": 74.85259, "loss": 0.26266, "time": 0.66763} -{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 22752, "data_time": 0.01112, "decode.loss_seg": 0.16553, "decode.acc_seg": 74.67603, "aux.loss_seg": 0.08593, "aux.acc_seg": 73.3935, "loss": 0.25146, "time": 0.67202} -{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.17263, "decode.acc_seg": 76.17927, "aux.loss_seg": 0.08921, "aux.acc_seg": 74.89861, "loss": 0.26184, "time": 0.65734} -{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 22752, "data_time": 0.01074, "decode.loss_seg": 0.1763, "decode.acc_seg": 76.35916, "aux.loss_seg": 0.09012, "aux.acc_seg": 75.03269, "loss": 0.26642, "time": 0.65691} -{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 22752, "data_time": 0.22991, "decode.loss_seg": 0.17119, "decode.acc_seg": 75.2499, "aux.loss_seg": 0.08936, "aux.acc_seg": 73.88071, "loss": 0.26055, "time": 0.8879} -{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 22752, "data_time": 0.01069, "decode.loss_seg": 0.19039, "decode.acc_seg": 74.90811, "aux.loss_seg": 0.09813, "aux.acc_seg": 73.45659, "loss": 0.28852, "time": 0.67159} -{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.19724, "decode.acc_seg": 73.91714, "aux.loss_seg": 0.09855, "aux.acc_seg": 72.55191, "loss": 0.29579, "time": 0.64877} -{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 22752, "data_time": 0.01081, "decode.loss_seg": 0.16281, "decode.acc_seg": 74.33947, "aux.loss_seg": 0.08502, "aux.acc_seg": 73.0041, "loss": 0.24783, "time": 0.66496} -{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 22752, "data_time": 0.01151, "decode.loss_seg": 0.17647, "decode.acc_seg": 75.15118, "aux.loss_seg": 0.09181, "aux.acc_seg": 73.80037, "loss": 0.26828, "time": 0.67296} -{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.17078, "decode.acc_seg": 76.48733, "aux.loss_seg": 0.09011, "aux.acc_seg": 75.00095, "loss": 0.2609, "time": 0.64864} -{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 22752, "data_time": 0.01086, "decode.loss_seg": 0.17747, "decode.acc_seg": 76.36309, "aux.loss_seg": 0.09226, "aux.acc_seg": 75.03426, "loss": 0.26974, "time": 0.66193} -{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 22752, "data_time": 0.01161, "decode.loss_seg": 0.15783, "decode.acc_seg": 75.07297, "aux.loss_seg": 0.08352, "aux.acc_seg": 73.72015, "loss": 0.24135, "time": 0.64448} -{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 22752, "data_time": 0.01108, "decode.loss_seg": 0.17472, "decode.acc_seg": 75.53861, "aux.loss_seg": 0.09204, "aux.acc_seg": 74.11514, "loss": 0.26676, "time": 0.65213} -{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 22752, "data_time": 0.01283, "decode.loss_seg": 0.16588, "decode.acc_seg": 74.30641, "aux.loss_seg": 0.08732, "aux.acc_seg": 72.92655, "loss": 0.2532, "time": 0.66831} -{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 22752, "data_time": 0.01108, "decode.loss_seg": 0.17272, "decode.acc_seg": 75.63782, "aux.loss_seg": 0.08947, "aux.acc_seg": 74.32449, "loss": 0.26219, "time": 0.6648} -{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 22752, "data_time": 0.01115, "decode.loss_seg": 0.16625, "decode.acc_seg": 75.12902, "aux.loss_seg": 0.08724, "aux.acc_seg": 73.80122, "loss": 0.25349, "time": 0.65355} -{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 22752, "data_time": 0.0116, "decode.loss_seg": 0.16898, "decode.acc_seg": 73.33099, "aux.loss_seg": 0.08849, "aux.acc_seg": 71.92755, "loss": 0.25747, "time": 0.65798} -{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 22752, "data_time": 0.01085, "decode.loss_seg": 0.16671, "decode.acc_seg": 74.63048, "aux.loss_seg": 0.08723, "aux.acc_seg": 73.25176, "loss": 0.25394, "time": 0.65122} -{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 22752, "data_time": 0.01194, "decode.loss_seg": 0.17504, "decode.acc_seg": 74.95872, "aux.loss_seg": 0.0919, "aux.acc_seg": 73.50892, "loss": 0.26694, "time": 0.67275} -{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 22752, "data_time": 0.01136, "decode.loss_seg": 0.17625, "decode.acc_seg": 76.4925, "aux.loss_seg": 0.09257, "aux.acc_seg": 74.981, "loss": 0.26882, "time": 0.65657} -{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 22752, "data_time": 0.01057, "decode.loss_seg": 0.1589, "decode.acc_seg": 74.04211, "aux.loss_seg": 0.08341, "aux.acc_seg": 72.70285, "loss": 0.24231, "time": 0.65569} -{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.17162, "decode.acc_seg": 74.27593, "aux.loss_seg": 0.09057, "aux.acc_seg": 72.85352, "loss": 0.26219, "time": 0.66492} -{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.16747, "decode.acc_seg": 73.82055, "aux.loss_seg": 0.08626, "aux.acc_seg": 72.53719, "loss": 0.25373, "time": 0.68026} -{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 22752, "data_time": 0.01084, "decode.loss_seg": 0.17115, "decode.acc_seg": 74.39414, "aux.loss_seg": 0.0889, "aux.acc_seg": 73.07177, "loss": 0.26004, "time": 0.6725} -{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.16414, "decode.acc_seg": 74.40647, "aux.loss_seg": 0.08498, "aux.acc_seg": 73.15606, "loss": 0.24911, "time": 0.6508} -{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 22752, "data_time": 0.01013, "decode.loss_seg": 0.1774, "decode.acc_seg": 73.73121, "aux.loss_seg": 0.09061, "aux.acc_seg": 72.42107, "loss": 0.26801, "time": 0.67232} -{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.17643, "decode.acc_seg": 75.9247, "aux.loss_seg": 0.09003, "aux.acc_seg": 74.66111, "loss": 0.26646, "time": 0.66064} -{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 22752, "data_time": 0.01044, "decode.loss_seg": 0.16469, "decode.acc_seg": 73.88286, "aux.loss_seg": 0.08548, "aux.acc_seg": 72.51124, "loss": 0.25017, "time": 0.64002} -{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.173, "decode.acc_seg": 74.76081, "aux.loss_seg": 0.09002, "aux.acc_seg": 73.43162, "loss": 0.26302, "time": 0.66523} -{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 22752, "data_time": 0.2329, "decode.loss_seg": 0.17021, "decode.acc_seg": 74.6543, "aux.loss_seg": 0.08785, "aux.acc_seg": 73.31741, "loss": 0.25806, "time": 0.88974} -{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.16586, "decode.acc_seg": 74.39591, "aux.loss_seg": 0.08536, "aux.acc_seg": 73.12916, "loss": 0.25122, "time": 0.65575} -{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.17068, "decode.acc_seg": 75.12245, "aux.loss_seg": 0.08736, "aux.acc_seg": 73.84491, "loss": 0.25804, "time": 0.67638} -{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.16767, "decode.acc_seg": 75.67272, "aux.loss_seg": 0.08655, "aux.acc_seg": 74.37268, "loss": 0.25422, "time": 0.67652} -{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 22752, "data_time": 0.00796, "decode.loss_seg": 0.1655, "decode.acc_seg": 74.03414, "aux.loss_seg": 0.08772, "aux.acc_seg": 72.64084, "loss": 0.25321, "time": 0.67339} -{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16935, "decode.acc_seg": 76.46594, "aux.loss_seg": 0.08952, "aux.acc_seg": 75.04858, "loss": 0.25888, "time": 0.67453} -{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.16974, "decode.acc_seg": 76.4522, "aux.loss_seg": 0.08754, "aux.acc_seg": 75.237, "loss": 0.25728, "time": 0.67183} -{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.17551, "decode.acc_seg": 74.43766, "aux.loss_seg": 0.08831, "aux.acc_seg": 73.21745, "loss": 0.26383, "time": 0.67377} -{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.17382, "decode.acc_seg": 75.19609, "aux.loss_seg": 0.08877, "aux.acc_seg": 73.93218, "loss": 0.2626, "time": 0.68074} -{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.17588, "decode.acc_seg": 76.55752, "aux.loss_seg": 0.09258, "aux.acc_seg": 75.10121, "loss": 0.26846, "time": 0.67011} -{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.17153, "decode.acc_seg": 75.77203, "aux.loss_seg": 0.08812, "aux.acc_seg": 74.49732, "loss": 0.25965, "time": 0.65718} -{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.18369, "decode.acc_seg": 75.30687, "aux.loss_seg": 0.09165, "aux.acc_seg": 74.09188, "loss": 0.27535, "time": 0.65447} -{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 22752, "data_time": 0.00833, "decode.loss_seg": 0.1764, "decode.acc_seg": 74.72504, "aux.loss_seg": 0.08931, "aux.acc_seg": 73.46395, "loss": 0.26571, "time": 0.66494} -{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.17437, "decode.acc_seg": 75.56736, "aux.loss_seg": 0.0913, "aux.acc_seg": 74.09492, "loss": 0.26567, "time": 0.65851} -{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.16781, "decode.acc_seg": 74.11561, "aux.loss_seg": 0.08786, "aux.acc_seg": 72.80942, "loss": 0.25567, "time": 0.67775} -{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.17918, "decode.acc_seg": 75.46434, "aux.loss_seg": 0.0914, "aux.acc_seg": 74.24255, "loss": 0.27059, "time": 0.67846} -{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.16885, "decode.acc_seg": 74.7171, "aux.loss_seg": 0.08834, "aux.acc_seg": 73.31275, "loss": 0.25718, "time": 0.67043} -{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.34207, "aux.loss_seg": 0.08762, "aux.acc_seg": 73.00354, "loss": 0.25496, "time": 0.6696} -{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.17156, "decode.acc_seg": 75.74438, "aux.loss_seg": 0.08975, "aux.acc_seg": 74.43837, "loss": 0.26131, "time": 0.679} -{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.18139, "decode.acc_seg": 74.19505, "aux.loss_seg": 0.09315, "aux.acc_seg": 72.86601, "loss": 0.27454, "time": 0.67709} -{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.18141, "decode.acc_seg": 75.58894, "aux.loss_seg": 0.09431, "aux.acc_seg": 74.17867, "loss": 0.27572, "time": 0.6636} -{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.17934, "decode.acc_seg": 76.21758, "aux.loss_seg": 0.09302, "aux.acc_seg": 74.76459, "loss": 0.27236, "time": 0.66243} -{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 22752, "data_time": 0.00813, "decode.loss_seg": 0.1658, "decode.acc_seg": 76.23014, "aux.loss_seg": 0.08629, "aux.acc_seg": 74.91256, "loss": 0.2521, "time": 0.65132} -{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.18672, "decode.acc_seg": 73.69015, "aux.loss_seg": 0.09489, "aux.acc_seg": 72.41323, "loss": 0.28162, "time": 0.65816} -{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.16709, "decode.acc_seg": 75.78954, "aux.loss_seg": 0.08772, "aux.acc_seg": 74.396, "loss": 0.25482, "time": 0.67593} -{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 22752, "data_time": 0.23537, "decode.loss_seg": 0.17419, "decode.acc_seg": 74.95144, "aux.loss_seg": 0.08988, "aux.acc_seg": 73.75682, "loss": 0.26407, "time": 0.85957} -{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 22752, "data_time": 0.01044, "decode.loss_seg": 0.17591, "decode.acc_seg": 75.10866, "aux.loss_seg": 0.09291, "aux.acc_seg": 73.54753, "loss": 0.26882, "time": 0.64599} -{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.17422, "decode.acc_seg": 73.77635, "aux.loss_seg": 0.0898, "aux.acc_seg": 72.42373, "loss": 0.26402, "time": 0.6649} -{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.18256, "decode.acc_seg": 76.37229, "aux.loss_seg": 0.09471, "aux.acc_seg": 74.98051, "loss": 0.27728, "time": 0.66764} -{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 22752, "data_time": 0.01085, "decode.loss_seg": 0.16467, "decode.acc_seg": 76.24173, "aux.loss_seg": 0.08527, "aux.acc_seg": 74.94934, "loss": 0.24995, "time": 0.68198} -{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.17176, "decode.acc_seg": 75.57033, "aux.loss_seg": 0.0904, "aux.acc_seg": 74.122, "loss": 0.26216, "time": 0.65634} -{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1701, "decode.acc_seg": 74.55961, "aux.loss_seg": 0.08804, "aux.acc_seg": 73.24224, "loss": 0.25813, "time": 0.64098} -{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17322, "decode.acc_seg": 76.22236, "aux.loss_seg": 0.08925, "aux.acc_seg": 74.91548, "loss": 0.26247, "time": 0.65126} -{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.82036, "aux.loss_seg": 0.09036, "aux.acc_seg": 73.50696, "loss": 0.26616, "time": 0.65209} -{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 22752, "data_time": 0.00973, "decode.loss_seg": 0.18532, "decode.acc_seg": 75.67564, "aux.loss_seg": 0.0973, "aux.acc_seg": 74.16535, "loss": 0.28262, "time": 0.66176} -{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.16516, "decode.acc_seg": 74.36556, "aux.loss_seg": 0.08756, "aux.acc_seg": 72.94198, "loss": 0.25272, "time": 0.66183} -{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.16563, "decode.acc_seg": 75.12963, "aux.loss_seg": 0.08604, "aux.acc_seg": 73.77764, "loss": 0.25167, "time": 0.65283} -{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.17133, "decode.acc_seg": 74.71802, "aux.loss_seg": 0.08958, "aux.acc_seg": 73.32374, "loss": 0.26091, "time": 0.66342} -{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.16474, "decode.acc_seg": 74.37226, "aux.loss_seg": 0.08634, "aux.acc_seg": 73.06887, "loss": 0.25107, "time": 0.66643} -{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.1623, "decode.acc_seg": 75.21473, "aux.loss_seg": 0.08446, "aux.acc_seg": 73.90119, "loss": 0.24676, "time": 0.66772} -{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.16273, "decode.acc_seg": 74.19713, "aux.loss_seg": 0.08592, "aux.acc_seg": 72.83392, "loss": 0.24865, "time": 0.66582} -{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.16704, "decode.acc_seg": 75.21211, "aux.loss_seg": 0.0889, "aux.acc_seg": 73.82875, "loss": 0.25594, "time": 0.6712} -{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.16298, "decode.acc_seg": 75.40675, "aux.loss_seg": 0.08513, "aux.acc_seg": 74.0379, "loss": 0.24811, "time": 0.67095} -{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.16965, "decode.acc_seg": 74.93641, "aux.loss_seg": 0.0885, "aux.acc_seg": 73.54042, "loss": 0.25815, "time": 0.66504} -{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.16907, "decode.acc_seg": 75.31015, "aux.loss_seg": 0.08799, "aux.acc_seg": 73.96953, "loss": 0.25705, "time": 0.66224} -{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.16126, "decode.acc_seg": 74.3349, "aux.loss_seg": 0.0856, "aux.acc_seg": 72.90101, "loss": 0.24686, "time": 0.66744} -{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.1668, "decode.acc_seg": 75.40575, "aux.loss_seg": 0.08691, "aux.acc_seg": 74.17621, "loss": 0.25371, "time": 0.6562} -{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.16881, "decode.acc_seg": 76.63921, "aux.loss_seg": 0.08751, "aux.acc_seg": 75.27486, "loss": 0.25632, "time": 0.64367} -{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.17675, "decode.acc_seg": 76.29261, "aux.loss_seg": 0.09107, "aux.acc_seg": 74.92264, "loss": 0.26782, "time": 0.67988} -{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.17971, "decode.acc_seg": 74.9466, "aux.loss_seg": 0.09142, "aux.acc_seg": 73.7083, "loss": 0.27113, "time": 0.6703} -{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 22752, "data_time": 0.23149, "decode.loss_seg": 0.17208, "decode.acc_seg": 74.34298, "aux.loss_seg": 0.08842, "aux.acc_seg": 73.03087, "loss": 0.26049, "time": 0.85852} -{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.16331, "decode.acc_seg": 76.49489, "aux.loss_seg": 0.08585, "aux.acc_seg": 75.13676, "loss": 0.24916, "time": 0.66056} -{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.16677, "decode.acc_seg": 75.46428, "aux.loss_seg": 0.08712, "aux.acc_seg": 74.13615, "loss": 0.25389, "time": 0.67176} -{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.17493, "decode.acc_seg": 74.42926, "aux.loss_seg": 0.09027, "aux.acc_seg": 73.16923, "loss": 0.2652, "time": 0.63786} -{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.16208, "decode.acc_seg": 73.52627, "aux.loss_seg": 0.08355, "aux.acc_seg": 72.3628, "loss": 0.24563, "time": 0.6776} -{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.16971, "decode.acc_seg": 74.56422, "aux.loss_seg": 0.08907, "aux.acc_seg": 73.15461, "loss": 0.25878, "time": 0.65726} -{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.16675, "decode.acc_seg": 75.1256, "aux.loss_seg": 0.08633, "aux.acc_seg": 73.87107, "loss": 0.25308, "time": 0.67659} -{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.16779, "decode.acc_seg": 74.8853, "aux.loss_seg": 0.08681, "aux.acc_seg": 73.55433, "loss": 0.2546, "time": 0.67254} -{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 22752, "data_time": 0.00874, "decode.loss_seg": 0.1668, "decode.acc_seg": 75.22615, "aux.loss_seg": 0.08778, "aux.acc_seg": 73.87205, "loss": 0.25458, "time": 0.6496} -{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16359, "decode.acc_seg": 75.79421, "aux.loss_seg": 0.08497, "aux.acc_seg": 74.48818, "loss": 0.24856, "time": 0.67654} -{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.16675, "decode.acc_seg": 75.01341, "aux.loss_seg": 0.08747, "aux.acc_seg": 73.62321, "loss": 0.25422, "time": 0.66973} -{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.18157, "decode.acc_seg": 75.42638, "aux.loss_seg": 0.09453, "aux.acc_seg": 73.93657, "loss": 0.2761, "time": 0.65336} -{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.16251, "decode.acc_seg": 74.75276, "aux.loss_seg": 0.0857, "aux.acc_seg": 73.36724, "loss": 0.24821, "time": 0.65991} -{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.17296, "decode.acc_seg": 75.07248, "aux.loss_seg": 0.09049, "aux.acc_seg": 73.62339, "loss": 0.26345, "time": 0.67579} -{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.17722, "decode.acc_seg": 75.47071, "aux.loss_seg": 0.09292, "aux.acc_seg": 74.00662, "loss": 0.27013, "time": 0.6671} -{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.1678, "decode.acc_seg": 73.98678, "aux.loss_seg": 0.0877, "aux.acc_seg": 72.5839, "loss": 0.2555, "time": 0.68278} -{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.17811, "decode.acc_seg": 74.90891, "aux.loss_seg": 0.09199, "aux.acc_seg": 73.61638, "loss": 0.2701, "time": 0.67277} -{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4741, "mAcc": 0.5987, "aAcc": 0.8222, "IoU.wall": 0.7588, "IoU.building": 0.8125, "IoU.sky": 0.9379, "IoU.floor": 0.8162, "IoU.tree": 0.736, "IoU.ceiling": 0.8398, "IoU.road": 0.8368, "IoU.bed ": 0.8592, "IoU.windowpane": 0.5969, "IoU.grass": 0.6935, "IoU.cabinet": 0.5742, "IoU.sidewalk": 0.6551, "IoU.person": 0.7789, "IoU.earth": 0.3514, "IoU.door": 0.4518, "IoU.table": 0.5915, "IoU.mountain": 0.6099, "IoU.plant": 0.495, "IoU.curtain": 0.7041, "IoU.chair": 0.5469, "IoU.car": 0.8231, "IoU.water": 0.5577, "IoU.painting": 0.6666, "IoU.sofa": 0.5975, "IoU.shelf": 0.4304, "IoU.house": 0.4279, "IoU.sea": 0.5576, "IoU.mirror": 0.6516, "IoU.rug": 0.6706, "IoU.field": 0.267, "IoU.armchair": 0.3532, "IoU.seat": 0.6079, "IoU.fence": 0.3715, "IoU.desk": 0.4781, "IoU.rock": 0.4366, "IoU.wardrobe": 0.4901, "IoU.lamp": 0.6019, "IoU.bathtub": 0.7443, "IoU.railing": 0.3019, "IoU.cushion": 0.5121, "IoU.base": 0.2587, "IoU.box": 0.2455, "IoU.column": 0.4388, "IoU.signboard": 0.3519, "IoU.chest of drawers": 0.2994, "IoU.counter": 0.2212, "IoU.sand": 0.3643, "IoU.sink": 0.6943, "IoU.skyscraper": 0.5671, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7497, "IoU.grandstand": 0.4482, "IoU.path": 0.2623, "IoU.stairs": 0.2892, "IoU.runway": 0.7286, "IoU.case": 0.4141, "IoU.pool table": 0.9091, "IoU.pillow": 0.5745, "IoU.screen door": 0.6989, "IoU.stairway": 0.3142, "IoU.river": 0.0913, "IoU.bridge": 0.6693, "IoU.bookcase": 0.3762, "IoU.blind": NaN, "IoU.coffee table": 0.5476, "IoU.toilet": 0.8288, "IoU.flower": 0.4329, "IoU.book": 0.4581, "IoU.hill": 0.1598, "IoU.bench": 0.4507, "IoU.countertop": 0.505, "IoU.stove": 0.7221, "IoU.palm": 0.4694, "IoU.kitchen island": 0.4121, "IoU.computer": 0.6214, "IoU.swivel chair": 0.4086, "IoU.boat": 0.4211, "IoU.bar": 0.4502, "IoU.arcade machine": 0.4718, "IoU.hovel": 0.263, "IoU.bus": 0.8394, "IoU.towel": 0.6667, "IoU.light": 0.5444, "IoU.truck": 0.2613, "IoU.tower": 0.1669, "IoU.chandelier": 0.6547, "IoU.awning": 0.2854, "IoU.streetlight": 0.2099, "IoU.booth": 0.5753, "IoU.television receiver": NaN, "IoU.airplane": 0.6084, "IoU.dirt track": 0.1693, "IoU.apparel": 0.3325, "IoU.pole": 0.1528, "IoU.land": 0.0353, "IoU.bannister": 0.1277, "IoU.escalator": 0.2453, "IoU.ottoman": 0.3544, "IoU.bottle": NaN, "IoU.buffet": 0.4749, "IoU.poster": 0.2794, "IoU.stage": 0.2079, "IoU.van": 0.4035, "IoU.ship": 0.6289, "IoU.fountain": 0.3035, "IoU.conveyer belt": 0.81, "IoU.canopy": 0.2926, "IoU.washer": 0.71, "IoU.plaything": 0.1895, "IoU.swimming pool": 0.739, "IoU.stool": 0.381, "IoU.barrel": 0.5097, "IoU.basket": 0.3176, "IoU.waterfall": 0.5369, "IoU.tent": 0.9113, "IoU.bag": 0.113, "IoU.minibike": 0.7451, "IoU.cradle": NaN, "IoU.oven": 0.3602, "IoU.ball": 0.4356, "IoU.food": 0.3249, "IoU.step": 0.0515, "IoU.tank": 0.5531, "IoU.trade name": 0.2688, "IoU.microwave": 0.8163, "IoU.pot": 0.5106, "IoU.animal": NaN, "IoU.bicycle": 0.522, "IoU.lake": 0.4768, "IoU.dishwasher": 0.5843, "IoU.screen": 0.5664, "IoU.blanket": 0.1618, "IoU.sculpture": 0.6438, "IoU.hood": 0.5528, "IoU.sconce": 0.4637, "IoU.vase": 0.356, "IoU.traffic light": 0.2818, "IoU.tray": 0.1032, "IoU.ashcan": 0.3893, "IoU.fan": 0.5731, "IoU.pier": 0.3691, "IoU.crt screen": 0.0397, "IoU.plate": 0.5138, "IoU.monitor": 0.0857, "IoU.bulletin board": 0.3748, "IoU.shower": 0.0405, "IoU.radiator": 0.5548, "IoU.glass": 0.1343, "IoU.clock": 0.2715, "IoU.flag": 0.3218, "Acc.wall": 0.8727, "Acc.building": 0.927, "Acc.sky": 0.9704, "Acc.floor": 0.9041, "Acc.tree": 0.8733, "Acc.ceiling": 0.9156, "Acc.road": 0.8962, "Acc.bed ": 0.9366, "Acc.windowpane": 0.7611, "Acc.grass": 0.8802, "Acc.cabinet": 0.711, "Acc.sidewalk": 0.8183, "Acc.person": 0.9111, "Acc.earth": 0.445, "Acc.door": 0.6036, "Acc.table": 0.7546, "Acc.mountain": 0.7705, "Acc.plant": 0.6158, "Acc.curtain": 0.8158, "Acc.chair": 0.6692, "Acc.car": 0.9043, "Acc.water": 0.7347, "Acc.painting": 0.8407, "Acc.sofa": 0.8126, "Acc.shelf": 0.6277, "Acc.house": 0.5426, "Acc.sea": 0.7578, "Acc.mirror": 0.7324, "Acc.rug": 0.7512, "Acc.field": 0.3945, "Acc.armchair": 0.494, "Acc.seat": 0.8067, "Acc.fence": 0.4849, "Acc.desk": 0.6414, "Acc.rock": 0.696, "Acc.wardrobe": 0.6632, "Acc.lamp": 0.7409, "Acc.bathtub": 0.82, "Acc.railing": 0.3589, "Acc.cushion": 0.6776, "Acc.base": 0.401, "Acc.box": 0.3179, "Acc.column": 0.5345, "Acc.signboard": 0.4905, "Acc.chest of drawers": 0.5413, "Acc.counter": 0.2768, "Acc.sand": 0.6574, "Acc.sink": 0.7676, "Acc.skyscraper": 0.7023, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8298, "Acc.grandstand": 0.6871, "Acc.path": 0.3708, "Acc.stairs": 0.3734, "Acc.runway": 0.9653, "Acc.case": 0.4948, "Acc.pool table": 0.9526, "Acc.pillow": 0.7668, "Acc.screen door": 0.7871, "Acc.stairway": 0.3582, "Acc.river": 0.1638, "Acc.bridge": 0.7923, "Acc.bookcase": 0.4553, "Acc.blind": NaN, "Acc.coffee table": 0.83, "Acc.toilet": 0.9002, "Acc.flower": 0.6136, "Acc.book": 0.6603, "Acc.hill": 0.2192, "Acc.bench": 0.5367, "Acc.countertop": 0.7174, "Acc.stove": 0.8612, "Acc.palm": 0.7339, "Acc.kitchen island": 0.7984, "Acc.computer": 0.7455, "Acc.swivel chair": 0.6629, "Acc.boat": 0.5693, "Acc.bar": 0.6334, "Acc.arcade machine": 0.507, "Acc.hovel": 0.3141, "Acc.bus": 0.956, "Acc.towel": 0.8364, "Acc.light": 0.6371, "Acc.truck": 0.3276, "Acc.tower": 0.2756, "Acc.chandelier": 0.7967, "Acc.awning": 0.3491, "Acc.streetlight": 0.2833, "Acc.booth": 0.7433, "Acc.television receiver": NaN, "Acc.airplane": 0.6965, "Acc.dirt track": 0.4717, "Acc.apparel": 0.4389, "Acc.pole": 0.2058, "Acc.land": 0.0518, "Acc.bannister": 0.1657, "Acc.escalator": 0.3139, "Acc.ottoman": 0.4819, "Acc.bottle": NaN, "Acc.buffet": 0.537, "Acc.poster": 0.3676, "Acc.stage": 0.295, "Acc.van": 0.5521, "Acc.ship": 0.9669, "Acc.fountain": 0.3134, "Acc.conveyer belt": 0.9175, "Acc.canopy": 0.4631, "Acc.washer": 0.7385, "Acc.plaything": 0.3309, "Acc.swimming pool": 0.8267, "Acc.stool": 0.536, "Acc.barrel": 0.7972, "Acc.basket": 0.4511, "Acc.waterfall": 0.7728, "Acc.tent": 0.9827, "Acc.bag": 0.1394, "Acc.minibike": 0.8909, "Acc.cradle": NaN, "Acc.oven": 0.411, "Acc.ball": 0.5912, "Acc.food": 0.3687, "Acc.step": 0.0565, "Acc.tank": 0.6549, "Acc.trade name": 0.3078, "Acc.microwave": 0.9318, "Acc.pot": 0.5735, "Acc.animal": NaN, "Acc.bicycle": 0.7541, "Acc.lake": 0.5417, "Acc.dishwasher": 0.7151, "Acc.screen": 0.6751, "Acc.blanket": 0.2146, "Acc.sculpture": 0.7777, "Acc.hood": 0.5995, "Acc.sconce": 0.5749, "Acc.vase": 0.5217, "Acc.traffic light": 0.4107, "Acc.tray": 0.2058, "Acc.ashcan": 0.473, "Acc.fan": 0.7307, "Acc.pier": 0.6119, "Acc.crt screen": 0.1463, "Acc.plate": 0.6961, "Acc.monitor": 0.1211, "Acc.bulletin board": 0.4891, "Acc.shower": 0.0442, "Acc.radiator": 0.7507, "Acc.glass": 0.1431, "Acc.clock": 0.3163, "Acc.flag": 0.3703} -{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 22752, "data_time": 1.61567, "decode.loss_seg": 0.16845, "decode.acc_seg": 74.71395, "aux.loss_seg": 0.087, "aux.acc_seg": 73.41178, "loss": 0.25545, "time": 2.26244} -{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.16347, "decode.acc_seg": 76.3158, "aux.loss_seg": 0.08494, "aux.acc_seg": 74.9925, "loss": 0.24842, "time": 0.67297} -{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.1745, "decode.acc_seg": 74.85183, "aux.loss_seg": 0.09132, "aux.acc_seg": 73.36112, "loss": 0.26582, "time": 0.65135} -{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.17374, "decode.acc_seg": 75.44636, "aux.loss_seg": 0.0884, "aux.acc_seg": 74.14472, "loss": 0.26214, "time": 0.6674} -{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.17367, "decode.acc_seg": 74.02544, "aux.loss_seg": 0.09075, "aux.acc_seg": 72.64641, "loss": 0.26442, "time": 0.65479} -{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.17462, "decode.acc_seg": 75.52016, "aux.loss_seg": 0.0924, "aux.acc_seg": 74.09796, "loss": 0.26703, "time": 0.66849} -{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.16264, "decode.acc_seg": 74.95551, "aux.loss_seg": 0.08378, "aux.acc_seg": 73.7233, "loss": 0.24642, "time": 0.68243} -{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.16775, "decode.acc_seg": 73.99104, "aux.loss_seg": 0.08828, "aux.acc_seg": 72.54734, "loss": 0.25603, "time": 0.66494} -{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 22752, "data_time": 0.22717, "decode.loss_seg": 0.15956, "decode.acc_seg": 75.76823, "aux.loss_seg": 0.08445, "aux.acc_seg": 74.3724, "loss": 0.24402, "time": 0.8877} -{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.16486, "decode.acc_seg": 75.00426, "aux.loss_seg": 0.08659, "aux.acc_seg": 73.69577, "loss": 0.25145, "time": 0.65869} -{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.17222, "decode.acc_seg": 74.82507, "aux.loss_seg": 0.08983, "aux.acc_seg": 73.50601, "loss": 0.26205, "time": 0.65744} -{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.16783, "decode.acc_seg": 77.08995, "aux.loss_seg": 0.08884, "aux.acc_seg": 75.63035, "loss": 0.25667, "time": 0.65046} -{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.17489, "decode.acc_seg": 74.49267, "aux.loss_seg": 0.09157, "aux.acc_seg": 73.10489, "loss": 0.26645, "time": 0.67666} -{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.17312, "decode.acc_seg": 75.2579, "aux.loss_seg": 0.08946, "aux.acc_seg": 73.91628, "loss": 0.26258, "time": 0.65721} -{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.16628, "decode.acc_seg": 76.80656, "aux.loss_seg": 0.08651, "aux.acc_seg": 75.47571, "loss": 0.25279, "time": 0.63901} -{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.16928, "decode.acc_seg": 75.17171, "aux.loss_seg": 0.08702, "aux.acc_seg": 73.91891, "loss": 0.2563, "time": 0.64659} -{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.16735, "decode.acc_seg": 75.37261, "aux.loss_seg": 0.08665, "aux.acc_seg": 74.14464, "loss": 0.254, "time": 0.67258} -{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.16318, "decode.acc_seg": 74.53197, "aux.loss_seg": 0.08545, "aux.acc_seg": 73.23494, "loss": 0.24863, "time": 0.67243} -{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.16988, "decode.acc_seg": 75.2026, "aux.loss_seg": 0.08832, "aux.acc_seg": 73.80415, "loss": 0.2582, "time": 0.6511} -{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.16873, "decode.acc_seg": 74.97474, "aux.loss_seg": 0.08642, "aux.acc_seg": 73.73951, "loss": 0.25515, "time": 0.66244} -{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.16582, "decode.acc_seg": 75.11924, "aux.loss_seg": 0.08815, "aux.acc_seg": 73.70455, "loss": 0.25397, "time": 0.66695} -{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.16059, "decode.acc_seg": 75.70699, "aux.loss_seg": 0.08523, "aux.acc_seg": 74.30808, "loss": 0.24581, "time": 0.66325} -{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.16861, "decode.acc_seg": 74.6349, "aux.loss_seg": 0.08992, "aux.acc_seg": 73.15398, "loss": 0.25854, "time": 0.67146} -{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.16808, "decode.acc_seg": 76.21549, "aux.loss_seg": 0.08691, "aux.acc_seg": 74.85231, "loss": 0.25499, "time": 0.66674} -{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.17941, "decode.acc_seg": 76.45955, "aux.loss_seg": 0.09186, "aux.acc_seg": 75.06994, "loss": 0.27128, "time": 0.65723} -{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.17387, "decode.acc_seg": 75.82099, "aux.loss_seg": 0.09087, "aux.acc_seg": 74.40446, "loss": 0.26474, "time": 0.67173} -{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 22752, "data_time": 0.01104, "decode.loss_seg": 0.16897, "decode.acc_seg": 76.33409, "aux.loss_seg": 0.08806, "aux.acc_seg": 74.95232, "loss": 0.25702, "time": 0.66953} -{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.16664, "decode.acc_seg": 75.01517, "aux.loss_seg": 0.08646, "aux.acc_seg": 73.69278, "loss": 0.2531, "time": 0.67513} -{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.16029, "decode.acc_seg": 73.11354, "aux.loss_seg": 0.08371, "aux.acc_seg": 71.89374, "loss": 0.244, "time": 0.66221} -{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.17472, "decode.acc_seg": 74.9232, "aux.loss_seg": 0.09061, "aux.acc_seg": 73.50711, "loss": 0.26533, "time": 0.65086} -{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 22752, "data_time": 0.00828, "decode.loss_seg": 0.17156, "decode.acc_seg": 74.44987, "aux.loss_seg": 0.08863, "aux.acc_seg": 73.17522, "loss": 0.26019, "time": 0.66919} -{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.16826, "decode.acc_seg": 74.48229, "aux.loss_seg": 0.0874, "aux.acc_seg": 73.12481, "loss": 0.25566, "time": 0.66464} -{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17584, "decode.acc_seg": 75.2506, "aux.loss_seg": 0.09093, "aux.acc_seg": 73.83459, "loss": 0.26677, "time": 0.6458} -{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 22752, "data_time": 0.23073, "decode.loss_seg": 0.1718, "decode.acc_seg": 74.87963, "aux.loss_seg": 0.09087, "aux.acc_seg": 73.45813, "loss": 0.26267, "time": 0.8659} -{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.17837, "decode.acc_seg": 74.68139, "aux.loss_seg": 0.0922, "aux.acc_seg": 73.30328, "loss": 0.27057, "time": 0.65999} -{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.16011, "decode.acc_seg": 74.9989, "aux.loss_seg": 0.08429, "aux.acc_seg": 73.70985, "loss": 0.2444, "time": 0.67177} -{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16598, "decode.acc_seg": 75.86463, "aux.loss_seg": 0.08605, "aux.acc_seg": 74.52185, "loss": 0.25203, "time": 0.66004} -{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.16644, "decode.acc_seg": 75.49504, "aux.loss_seg": 0.08643, "aux.acc_seg": 74.18052, "loss": 0.25287, "time": 0.6423} -{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.17629, "decode.acc_seg": 75.31667, "aux.loss_seg": 0.09272, "aux.acc_seg": 73.88526, "loss": 0.26902, "time": 0.66629} -{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.16016, "decode.acc_seg": 75.44776, "aux.loss_seg": 0.08405, "aux.acc_seg": 74.07918, "loss": 0.24421, "time": 0.64584} -{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.16497, "decode.acc_seg": 75.26167, "aux.loss_seg": 0.08641, "aux.acc_seg": 73.9353, "loss": 0.25138, "time": 0.64234} -{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.16345, "decode.acc_seg": 74.37162, "aux.loss_seg": 0.08527, "aux.acc_seg": 73.03799, "loss": 0.24872, "time": 0.67752} -{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.17061, "decode.acc_seg": 76.11103, "aux.loss_seg": 0.08902, "aux.acc_seg": 74.7478, "loss": 0.25964, "time": 0.67866} -{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.16036, "decode.acc_seg": 74.9216, "aux.loss_seg": 0.08341, "aux.acc_seg": 73.70147, "loss": 0.24377, "time": 0.65163} -{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.167, "decode.acc_seg": 74.93214, "aux.loss_seg": 0.08791, "aux.acc_seg": 73.48694, "loss": 0.25491, "time": 0.67096} -{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.16304, "decode.acc_seg": 74.69565, "aux.loss_seg": 0.08545, "aux.acc_seg": 73.34054, "loss": 0.24849, "time": 0.65891} -{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.16339, "decode.acc_seg": 73.71473, "aux.loss_seg": 0.08419, "aux.acc_seg": 72.48464, "loss": 0.24758, "time": 0.67751} -{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.16096, "decode.acc_seg": 75.37176, "aux.loss_seg": 0.08488, "aux.acc_seg": 74.0253, "loss": 0.24584, "time": 0.65006} -{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.17149, "decode.acc_seg": 75.11268, "aux.loss_seg": 0.09163, "aux.acc_seg": 73.62905, "loss": 0.26312, "time": 0.67887} -{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.16626, "decode.acc_seg": 75.07591, "aux.loss_seg": 0.08666, "aux.acc_seg": 73.72808, "loss": 0.25292, "time": 0.67602} -{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.17134, "decode.acc_seg": 75.2164, "aux.loss_seg": 0.08887, "aux.acc_seg": 73.91204, "loss": 0.26021, "time": 0.67149} -{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.1609, "decode.acc_seg": 74.65529, "aux.loss_seg": 0.08434, "aux.acc_seg": 73.39141, "loss": 0.24524, "time": 0.66734} -{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.16139, "decode.acc_seg": 76.18137, "aux.loss_seg": 0.08514, "aux.acc_seg": 74.79862, "loss": 0.24653, "time": 0.65481} -{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.17427, "decode.acc_seg": 76.23274, "aux.loss_seg": 0.09202, "aux.acc_seg": 74.81974, "loss": 0.2663, "time": 0.66425} -{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.16286, "decode.acc_seg": 73.54266, "aux.loss_seg": 0.08413, "aux.acc_seg": 72.33969, "loss": 0.24699, "time": 0.66693} -{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.17185, "decode.acc_seg": 75.18594, "aux.loss_seg": 0.08807, "aux.acc_seg": 73.94055, "loss": 0.25992, "time": 0.66434} -{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 22752, "data_time": 0.0079, "decode.loss_seg": 0.1674, "decode.acc_seg": 75.8874, "aux.loss_seg": 0.08825, "aux.acc_seg": 74.4978, "loss": 0.25565, "time": 0.64643} -{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.16117, "decode.acc_seg": 74.01319, "aux.loss_seg": 0.08328, "aux.acc_seg": 72.82121, "loss": 0.24445, "time": 0.67173} -{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 22752, "data_time": 0.2346, "decode.loss_seg": 0.15871, "decode.acc_seg": 76.57423, "aux.loss_seg": 0.08366, "aux.acc_seg": 75.3031, "loss": 0.24237, "time": 0.87258} -{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.16721, "decode.acc_seg": 75.50423, "aux.loss_seg": 0.08763, "aux.acc_seg": 74.12685, "loss": 0.25484, "time": 0.66} -{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.17496, "decode.acc_seg": 76.12263, "aux.loss_seg": 0.09187, "aux.acc_seg": 74.6314, "loss": 0.26683, "time": 0.66603} -{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.16521, "decode.acc_seg": 74.81857, "aux.loss_seg": 0.08651, "aux.acc_seg": 73.47241, "loss": 0.25172, "time": 0.65884} -{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.17229, "decode.acc_seg": 75.79772, "aux.loss_seg": 0.08987, "aux.acc_seg": 74.40466, "loss": 0.26216, "time": 0.67595} -{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.15303, "decode.acc_seg": 75.38254, "aux.loss_seg": 0.08059, "aux.acc_seg": 74.06489, "loss": 0.23362, "time": 0.64533} -{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15708, "decode.acc_seg": 75.26506, "aux.loss_seg": 0.08179, "aux.acc_seg": 73.99628, "loss": 0.23887, "time": 0.66475} -{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.16112, "decode.acc_seg": 75.25045, "aux.loss_seg": 0.0845, "aux.acc_seg": 74.00341, "loss": 0.24563, "time": 0.65692} -{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.16406, "decode.acc_seg": 75.92484, "aux.loss_seg": 0.08351, "aux.acc_seg": 74.77385, "loss": 0.24757, "time": 0.65817} -{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.1601, "decode.acc_seg": 76.31305, "aux.loss_seg": 0.08412, "aux.acc_seg": 74.95975, "loss": 0.24421, "time": 0.65827} -{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.16004, "decode.acc_seg": 73.92299, "aux.loss_seg": 0.0836, "aux.acc_seg": 72.5565, "loss": 0.24364, "time": 0.6761} -{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.16703, "decode.acc_seg": 74.65559, "aux.loss_seg": 0.08711, "aux.acc_seg": 73.33724, "loss": 0.25414, "time": 0.6814} -{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.17643, "decode.acc_seg": 74.48264, "aux.loss_seg": 0.09009, "aux.acc_seg": 73.16248, "loss": 0.26652, "time": 0.65492} -{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.17421, "decode.acc_seg": 76.23977, "aux.loss_seg": 0.08922, "aux.acc_seg": 75.02702, "loss": 0.26342, "time": 0.67727} -{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.16293, "decode.acc_seg": 74.81483, "aux.loss_seg": 0.08634, "aux.acc_seg": 73.29647, "loss": 0.24927, "time": 0.66595} -{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.17127, "decode.acc_seg": 73.94744, "aux.loss_seg": 0.08821, "aux.acc_seg": 72.56384, "loss": 0.25948, "time": 0.66768} -{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.16991, "decode.acc_seg": 75.64582, "aux.loss_seg": 0.08979, "aux.acc_seg": 74.24113, "loss": 0.2597, "time": 0.66835} -{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.16338, "decode.acc_seg": 75.18705, "aux.loss_seg": 0.08529, "aux.acc_seg": 73.85989, "loss": 0.24867, "time": 0.67866} -{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.16152, "decode.acc_seg": 75.5399, "aux.loss_seg": 0.08482, "aux.acc_seg": 74.23905, "loss": 0.24635, "time": 0.67198} -{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.16107, "decode.acc_seg": 75.54307, "aux.loss_seg": 0.08403, "aux.acc_seg": 74.20389, "loss": 0.2451, "time": 0.67047} -{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.1697, "decode.acc_seg": 74.55267, "aux.loss_seg": 0.08806, "aux.acc_seg": 73.17276, "loss": 0.25775, "time": 0.67434} -{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15688, "decode.acc_seg": 74.3991, "aux.loss_seg": 0.08155, "aux.acc_seg": 73.18058, "loss": 0.23842, "time": 0.66103} -{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.16624, "decode.acc_seg": 75.78003, "aux.loss_seg": 0.08707, "aux.acc_seg": 74.47167, "loss": 0.25331, "time": 0.65827} -{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 22752, "data_time": 0.00814, "decode.loss_seg": 0.16167, "decode.acc_seg": 74.85981, "aux.loss_seg": 0.08496, "aux.acc_seg": 73.56448, "loss": 0.24663, "time": 0.66055} -{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.15957, "decode.acc_seg": 74.77292, "aux.loss_seg": 0.08402, "aux.acc_seg": 73.4535, "loss": 0.24359, "time": 0.67555} -{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 22752, "data_time": 0.22819, "decode.loss_seg": 0.16281, "decode.acc_seg": 74.58665, "aux.loss_seg": 0.08655, "aux.acc_seg": 73.17425, "loss": 0.24936, "time": 0.88616} -{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15129, "decode.acc_seg": 76.23949, "aux.loss_seg": 0.08084, "aux.acc_seg": 74.953, "loss": 0.23213, "time": 0.678} -{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.16583, "decode.acc_seg": 76.0788, "aux.loss_seg": 0.08648, "aux.acc_seg": 74.72229, "loss": 0.25231, "time": 0.67324} -{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 22752, "data_time": 0.01039, "decode.loss_seg": 0.16255, "decode.acc_seg": 75.92654, "aux.loss_seg": 0.08529, "aux.acc_seg": 74.65114, "loss": 0.24784, "time": 0.67219} -{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.16345, "decode.acc_seg": 74.3708, "aux.loss_seg": 0.0856, "aux.acc_seg": 73.03556, "loss": 0.24904, "time": 0.64554} -{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.16575, "decode.acc_seg": 73.88968, "aux.loss_seg": 0.08883, "aux.acc_seg": 72.33901, "loss": 0.25459, "time": 0.67958} -{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.15843, "decode.acc_seg": 75.78892, "aux.loss_seg": 0.08267, "aux.acc_seg": 74.49563, "loss": 0.24109, "time": 0.66229} -{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.16491, "decode.acc_seg": 74.76582, "aux.loss_seg": 0.08701, "aux.acc_seg": 73.39705, "loss": 0.25191, "time": 0.66037} -{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 22752, "data_time": 0.01056, "decode.loss_seg": 0.16242, "decode.acc_seg": 75.95458, "aux.loss_seg": 0.08588, "aux.acc_seg": 74.5918, "loss": 0.24829, "time": 0.65591} -{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 22752, "data_time": 0.01036, "decode.loss_seg": 0.16277, "decode.acc_seg": 76.26874, "aux.loss_seg": 0.08616, "aux.acc_seg": 74.87847, "loss": 0.24893, "time": 0.67797} -{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.16888, "decode.acc_seg": 74.93021, "aux.loss_seg": 0.08807, "aux.acc_seg": 73.61274, "loss": 0.25695, "time": 0.66339} -{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.14692, "decode.acc_seg": 73.4792, "aux.loss_seg": 0.07733, "aux.acc_seg": 72.21585, "loss": 0.22425, "time": 0.66256} -{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 22752, "data_time": 0.00878, "decode.loss_seg": 0.16752, "decode.acc_seg": 74.98287, "aux.loss_seg": 0.08713, "aux.acc_seg": 73.67019, "loss": 0.25466, "time": 0.65621} -{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.16982, "decode.acc_seg": 75.70559, "aux.loss_seg": 0.08969, "aux.acc_seg": 74.27619, "loss": 0.25951, "time": 0.66908} -{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 22752, "data_time": 0.00847, "decode.loss_seg": 0.17491, "decode.acc_seg": 75.95711, "aux.loss_seg": 0.0908, "aux.acc_seg": 74.56237, "loss": 0.26571, "time": 0.66645} -{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15928, "decode.acc_seg": 74.03096, "aux.loss_seg": 0.08301, "aux.acc_seg": 72.80212, "loss": 0.24229, "time": 0.67173} -{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.16567, "decode.acc_seg": 74.27063, "aux.loss_seg": 0.0878, "aux.acc_seg": 72.85172, "loss": 0.25346, "time": 0.66676} -{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.16117, "decode.acc_seg": 75.06473, "aux.loss_seg": 0.08559, "aux.acc_seg": 73.67739, "loss": 0.24675, "time": 0.66871} -{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.14982, "decode.acc_seg": 73.26758, "aux.loss_seg": 0.07812, "aux.acc_seg": 72.05408, "loss": 0.22794, "time": 0.66066} -{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.16821, "decode.acc_seg": 74.49984, "aux.loss_seg": 0.08759, "aux.acc_seg": 73.19265, "loss": 0.2558, "time": 0.65943} -{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.16314, "decode.acc_seg": 75.12005, "aux.loss_seg": 0.08577, "aux.acc_seg": 73.75479, "loss": 0.24891, "time": 0.65095} -{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.1588, "decode.acc_seg": 75.72009, "aux.loss_seg": 0.08407, "aux.acc_seg": 74.31888, "loss": 0.24287, "time": 0.67085} -{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.1629, "decode.acc_seg": 74.40008, "aux.loss_seg": 0.08627, "aux.acc_seg": 73.11223, "loss": 0.24917, "time": 0.64911} -{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.16616, "decode.acc_seg": 76.34614, "aux.loss_seg": 0.08723, "aux.acc_seg": 74.92857, "loss": 0.25338, "time": 0.65561} -{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 22752, "data_time": 0.00861, "decode.loss_seg": 0.16152, "decode.acc_seg": 75.33778, "aux.loss_seg": 0.08468, "aux.acc_seg": 74.04557, "loss": 0.2462, "time": 0.65194} -{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.16193, "decode.acc_seg": 75.91571, "aux.loss_seg": 0.08533, "aux.acc_seg": 74.60081, "loss": 0.24726, "time": 0.66891} -{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 22752, "data_time": 0.2331, "decode.loss_seg": 0.16415, "decode.acc_seg": 74.98278, "aux.loss_seg": 0.08434, "aux.acc_seg": 73.73604, "loss": 0.24849, "time": 0.87773} -{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.15915, "decode.acc_seg": 75.74479, "aux.loss_seg": 0.08387, "aux.acc_seg": 74.38407, "loss": 0.24302, "time": 0.68206} -{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.16398, "decode.acc_seg": 74.60768, "aux.loss_seg": 0.08478, "aux.acc_seg": 73.33212, "loss": 0.24876, "time": 0.64404} -{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.16395, "decode.acc_seg": 76.41945, "aux.loss_seg": 0.08656, "aux.acc_seg": 75.06456, "loss": 0.25051, "time": 0.65605} -{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.1544, "decode.acc_seg": 75.01721, "aux.loss_seg": 0.08127, "aux.acc_seg": 73.70098, "loss": 0.23566, "time": 0.65652} -{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.16726, "decode.acc_seg": 74.80933, "aux.loss_seg": 0.08654, "aux.acc_seg": 73.5425, "loss": 0.25379, "time": 0.67123} -{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.162, "decode.acc_seg": 75.07023, "aux.loss_seg": 0.08486, "aux.acc_seg": 73.72079, "loss": 0.24686, "time": 0.67013} -{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.15696, "decode.acc_seg": 75.5236, "aux.loss_seg": 0.08178, "aux.acc_seg": 74.26799, "loss": 0.23875, "time": 0.67255} -{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 22752, "data_time": 0.0086, "decode.loss_seg": 0.17041, "decode.acc_seg": 75.24341, "aux.loss_seg": 0.0889, "aux.acc_seg": 73.90974, "loss": 0.25931, "time": 0.66661} -{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.15763, "decode.acc_seg": 75.45515, "aux.loss_seg": 0.08227, "aux.acc_seg": 74.22634, "loss": 0.23989, "time": 0.65039} -{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 22752, "data_time": 0.01097, "decode.loss_seg": 0.15991, "decode.acc_seg": 74.89545, "aux.loss_seg": 0.08244, "aux.acc_seg": 73.69467, "loss": 0.24235, "time": 0.68153} -{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.16363, "decode.acc_seg": 74.57206, "aux.loss_seg": 0.0852, "aux.acc_seg": 73.27068, "loss": 0.24883, "time": 0.66749} -{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.89386, "aux.loss_seg": 0.08965, "aux.acc_seg": 74.4283, "loss": 0.25803, "time": 0.66095} -{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.16455, "decode.acc_seg": 73.61408, "aux.loss_seg": 0.08657, "aux.acc_seg": 72.27629, "loss": 0.25112, "time": 0.65887} -{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.15603, "decode.acc_seg": 75.63997, "aux.loss_seg": 0.08203, "aux.acc_seg": 74.2617, "loss": 0.23805, "time": 0.66959} -{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.16102, "decode.acc_seg": 75.54993, "aux.loss_seg": 0.08365, "aux.acc_seg": 74.21906, "loss": 0.24467, "time": 0.6499} -{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 22752, "data_time": 0.00804, "decode.loss_seg": 0.16911, "decode.acc_seg": 74.40805, "aux.loss_seg": 0.08954, "aux.acc_seg": 72.95877, "loss": 0.25864, "time": 0.66738} -{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.17584, "decode.acc_seg": 74.34897, "aux.loss_seg": 0.09058, "aux.acc_seg": 73.02167, "loss": 0.26642, "time": 0.66304} -{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.15984, "decode.acc_seg": 75.19944, "aux.loss_seg": 0.08353, "aux.acc_seg": 73.88709, "loss": 0.24337, "time": 0.66653} -{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 22752, "data_time": 0.00788, "decode.loss_seg": 0.17428, "decode.acc_seg": 74.40685, "aux.loss_seg": 0.09192, "aux.acc_seg": 72.94903, "loss": 0.2662, "time": 0.65511} -{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.16162, "decode.acc_seg": 75.08842, "aux.loss_seg": 0.08476, "aux.acc_seg": 73.76741, "loss": 0.24638, "time": 0.65461} -{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.1554, "decode.acc_seg": 75.1454, "aux.loss_seg": 0.08172, "aux.acc_seg": 73.84882, "loss": 0.23713, "time": 0.65846} -{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.16643, "decode.acc_seg": 75.26641, "aux.loss_seg": 0.08689, "aux.acc_seg": 73.79843, "loss": 0.25332, "time": 0.65763} -{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.17501, "decode.acc_seg": 75.23821, "aux.loss_seg": 0.09183, "aux.acc_seg": 73.79216, "loss": 0.26684, "time": 0.66741} -{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.16702, "decode.acc_seg": 74.16371, "aux.loss_seg": 0.08578, "aux.acc_seg": 72.9413, "loss": 0.2528, "time": 0.67088} -{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 22752, "data_time": 0.23208, "decode.loss_seg": 0.15944, "decode.acc_seg": 75.69585, "aux.loss_seg": 0.0842, "aux.acc_seg": 74.39843, "loss": 0.24365, "time": 0.84679} -{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.16465, "decode.acc_seg": 77.00276, "aux.loss_seg": 0.08595, "aux.acc_seg": 75.61904, "loss": 0.2506, "time": 0.64391} -{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.16245, "decode.acc_seg": 75.1608, "aux.loss_seg": 0.08599, "aux.acc_seg": 73.80496, "loss": 0.24844, "time": 0.67259} -{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15714, "decode.acc_seg": 75.24408, "aux.loss_seg": 0.08238, "aux.acc_seg": 73.97044, "loss": 0.23952, "time": 0.64764} -{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.16573, "decode.acc_seg": 75.97048, "aux.loss_seg": 0.08734, "aux.acc_seg": 74.56866, "loss": 0.25307, "time": 0.66451} -{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.15983, "decode.acc_seg": 74.668, "aux.loss_seg": 0.08425, "aux.acc_seg": 73.27673, "loss": 0.24408, "time": 0.67716} -{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.15579, "decode.acc_seg": 75.17766, "aux.loss_seg": 0.08135, "aux.acc_seg": 73.9697, "loss": 0.23714, "time": 0.66699} -{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.15414, "decode.acc_seg": 75.68048, "aux.loss_seg": 0.08048, "aux.acc_seg": 74.45092, "loss": 0.23461, "time": 0.65097} -{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.1625, "decode.acc_seg": 75.48149, "aux.loss_seg": 0.08694, "aux.acc_seg": 74.00835, "loss": 0.24943, "time": 0.64895} -{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15416, "decode.acc_seg": 75.77428, "aux.loss_seg": 0.08139, "aux.acc_seg": 74.38371, "loss": 0.23556, "time": 0.66195} -{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.16492, "decode.acc_seg": 74.52391, "aux.loss_seg": 0.08706, "aux.acc_seg": 73.15273, "loss": 0.25198, "time": 0.67045} -{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.16149, "decode.acc_seg": 74.95665, "aux.loss_seg": 0.08514, "aux.acc_seg": 73.60089, "loss": 0.24663, "time": 0.66898} -{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.16395, "decode.acc_seg": 76.0002, "aux.loss_seg": 0.08661, "aux.acc_seg": 74.64338, "loss": 0.25056, "time": 0.6762} -{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.16476, "decode.acc_seg": 75.98721, "aux.loss_seg": 0.0853, "aux.acc_seg": 74.67639, "loss": 0.25006, "time": 0.67611} -{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.16509, "decode.acc_seg": 76.74692, "aux.loss_seg": 0.08577, "aux.acc_seg": 75.35, "loss": 0.25086, "time": 0.66645} -{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.17091, "decode.acc_seg": 75.33581, "aux.loss_seg": 0.08873, "aux.acc_seg": 73.93029, "loss": 0.25963, "time": 0.66601} -{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.1638, "decode.acc_seg": 75.4746, "aux.loss_seg": 0.08602, "aux.acc_seg": 74.10707, "loss": 0.24981, "time": 0.66274} -{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.15205, "decode.acc_seg": 74.51637, "aux.loss_seg": 0.08076, "aux.acc_seg": 73.19296, "loss": 0.2328, "time": 0.64195} -{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.16082, "decode.acc_seg": 75.09644, "aux.loss_seg": 0.08504, "aux.acc_seg": 73.71333, "loss": 0.24586, "time": 0.66638} -{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.14923, "decode.acc_seg": 74.81547, "aux.loss_seg": 0.08011, "aux.acc_seg": 73.48857, "loss": 0.22933, "time": 0.65277} -{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.16549, "decode.acc_seg": 76.0829, "aux.loss_seg": 0.08473, "aux.acc_seg": 74.84964, "loss": 0.25022, "time": 0.66276} -{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 22752, "data_time": 0.01032, "decode.loss_seg": 0.17601, "decode.acc_seg": 75.76646, "aux.loss_seg": 0.09194, "aux.acc_seg": 74.3663, "loss": 0.26795, "time": 0.66815} -{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 22752, "data_time": 0.01077, "decode.loss_seg": 0.15129, "decode.acc_seg": 75.88941, "aux.loss_seg": 0.0794, "aux.acc_seg": 74.61249, "loss": 0.23068, "time": 0.67} -{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.16181, "decode.acc_seg": 75.28205, "aux.loss_seg": 0.08628, "aux.acc_seg": 73.87423, "loss": 0.2481, "time": 0.66098} -{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.16561, "decode.acc_seg": 74.98374, "aux.loss_seg": 0.08724, "aux.acc_seg": 73.51415, "loss": 0.25284, "time": 0.66138} -{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 22752, "data_time": 0.23057, "decode.loss_seg": 0.15704, "decode.acc_seg": 74.88671, "aux.loss_seg": 0.08205, "aux.acc_seg": 73.54956, "loss": 0.23909, "time": 0.86373} -{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.15588, "decode.acc_seg": 74.91365, "aux.loss_seg": 0.08191, "aux.acc_seg": 73.60504, "loss": 0.23779, "time": 0.64656} -{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.15742, "decode.acc_seg": 75.39763, "aux.loss_seg": 0.08265, "aux.acc_seg": 74.09273, "loss": 0.24007, "time": 0.653} -{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.15511, "decode.acc_seg": 74.394, "aux.loss_seg": 0.08201, "aux.acc_seg": 73.10194, "loss": 0.23713, "time": 0.65373} -{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.16499, "decode.acc_seg": 75.17336, "aux.loss_seg": 0.0857, "aux.acc_seg": 73.86914, "loss": 0.2507, "time": 0.63968} -{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.15706, "decode.acc_seg": 75.38578, "aux.loss_seg": 0.08242, "aux.acc_seg": 74.11716, "loss": 0.23948, "time": 0.66609} -{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.1566, "decode.acc_seg": 74.09639, "aux.loss_seg": 0.08111, "aux.acc_seg": 72.88048, "loss": 0.23771, "time": 0.65891} -{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.16555, "decode.acc_seg": 75.57663, "aux.loss_seg": 0.08711, "aux.acc_seg": 74.11913, "loss": 0.25266, "time": 0.67014} -{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.15643, "decode.acc_seg": 75.86324, "aux.loss_seg": 0.08185, "aux.acc_seg": 74.60662, "loss": 0.23828, "time": 0.66737} -{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.15949, "decode.acc_seg": 76.11467, "aux.loss_seg": 0.08245, "aux.acc_seg": 74.86069, "loss": 0.24194, "time": 0.65021} -{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15711, "decode.acc_seg": 74.1207, "aux.loss_seg": 0.08374, "aux.acc_seg": 72.8028, "loss": 0.24084, "time": 0.66752} -{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.16566, "decode.acc_seg": 75.69123, "aux.loss_seg": 0.08785, "aux.acc_seg": 74.22168, "loss": 0.25351, "time": 0.66268} -{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15591, "decode.acc_seg": 76.54717, "aux.loss_seg": 0.08312, "aux.acc_seg": 75.21602, "loss": 0.23903, "time": 0.64672} -{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.16689, "decode.acc_seg": 76.6134, "aux.loss_seg": 0.08742, "aux.acc_seg": 75.28268, "loss": 0.25431, "time": 0.66732} -{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.15522, "decode.acc_seg": 74.66955, "aux.loss_seg": 0.0825, "aux.acc_seg": 73.34344, "loss": 0.23772, "time": 0.6769} -{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.17046, "decode.acc_seg": 73.07103, "aux.loss_seg": 0.08914, "aux.acc_seg": 71.65954, "loss": 0.25961, "time": 0.66251} -{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.1637, "decode.acc_seg": 75.56654, "aux.loss_seg": 0.08514, "aux.acc_seg": 74.27752, "loss": 0.24884, "time": 0.65085} -{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.18062, "decode.acc_seg": 76.10478, "aux.loss_seg": 0.09374, "aux.acc_seg": 74.70998, "loss": 0.27436, "time": 0.65678} -{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.16124, "decode.acc_seg": 74.77703, "aux.loss_seg": 0.08486, "aux.acc_seg": 73.42945, "loss": 0.24611, "time": 0.65988} -{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15506, "decode.acc_seg": 74.85817, "aux.loss_seg": 0.08305, "aux.acc_seg": 73.44266, "loss": 0.23811, "time": 0.66252} -{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 22752, "data_time": 0.0102, "decode.loss_seg": 0.15959, "decode.acc_seg": 75.55243, "aux.loss_seg": 0.08436, "aux.acc_seg": 74.19333, "loss": 0.24395, "time": 0.67249} -{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.15508, "decode.acc_seg": 75.17277, "aux.loss_seg": 0.0829, "aux.acc_seg": 73.80199, "loss": 0.23799, "time": 0.67119} -{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.16264, "decode.acc_seg": 76.51836, "aux.loss_seg": 0.08441, "aux.acc_seg": 75.27223, "loss": 0.24705, "time": 0.64936} -{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.15708, "decode.acc_seg": 76.6011, "aux.loss_seg": 0.08173, "aux.acc_seg": 75.40563, "loss": 0.23881, "time": 0.67506} -{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.15439, "decode.acc_seg": 75.19053, "aux.loss_seg": 0.08117, "aux.acc_seg": 73.94961, "loss": 0.23557, "time": 0.64465} -{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 22752, "data_time": 0.23483, "decode.loss_seg": 0.15771, "decode.acc_seg": 76.00256, "aux.loss_seg": 0.08349, "aux.acc_seg": 74.61814, "loss": 0.2412, "time": 0.89189} -{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.15349, "decode.acc_seg": 75.14825, "aux.loss_seg": 0.08264, "aux.acc_seg": 73.68783, "loss": 0.23612, "time": 0.65432} -{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.16008, "decode.acc_seg": 75.12639, "aux.loss_seg": 0.08371, "aux.acc_seg": 73.74308, "loss": 0.24379, "time": 0.64891} -{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.15875, "decode.acc_seg": 77.08764, "aux.loss_seg": 0.08318, "aux.acc_seg": 75.79603, "loss": 0.24193, "time": 0.66795} -{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.15902, "decode.acc_seg": 74.16044, "aux.loss_seg": 0.08396, "aux.acc_seg": 72.82799, "loss": 0.24297, "time": 0.66331} -{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.15664, "decode.acc_seg": 75.65242, "aux.loss_seg": 0.0818, "aux.acc_seg": 74.36009, "loss": 0.23845, "time": 0.64348} -{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 22752, "data_time": 0.01089, "decode.loss_seg": 0.15661, "decode.acc_seg": 76.20615, "aux.loss_seg": 0.08148, "aux.acc_seg": 74.99329, "loss": 0.23809, "time": 0.668} -{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 22752, "data_time": 0.01029, "decode.loss_seg": 0.15107, "decode.acc_seg": 75.18057, "aux.loss_seg": 0.0789, "aux.acc_seg": 73.94446, "loss": 0.22997, "time": 0.65065} -{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 22752, "data_time": 0.01045, "decode.loss_seg": 0.15467, "decode.acc_seg": 73.99442, "aux.loss_seg": 0.08036, "aux.acc_seg": 72.76034, "loss": 0.23504, "time": 0.66412} -{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.15903, "decode.acc_seg": 77.3127, "aux.loss_seg": 0.08407, "aux.acc_seg": 75.95522, "loss": 0.2431, "time": 0.66828} -{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.15819, "decode.acc_seg": 75.5363, "aux.loss_seg": 0.08275, "aux.acc_seg": 74.2081, "loss": 0.24094, "time": 0.6665} -{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.16079, "decode.acc_seg": 75.73571, "aux.loss_seg": 0.08477, "aux.acc_seg": 74.39461, "loss": 0.24555, "time": 0.6774} -{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.16171, "decode.acc_seg": 76.49323, "aux.loss_seg": 0.08577, "aux.acc_seg": 75.1071, "loss": 0.24748, "time": 0.663} -{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.16334, "decode.acc_seg": 75.43165, "aux.loss_seg": 0.08561, "aux.acc_seg": 74.07379, "loss": 0.24894, "time": 0.66553} -{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.14954, "decode.acc_seg": 75.44804, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.20969, "loss": 0.22859, "time": 0.66987} -{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.15201, "decode.acc_seg": 75.66307, "aux.loss_seg": 0.07988, "aux.acc_seg": 74.32671, "loss": 0.23188, "time": 0.66717} -{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.16582, "decode.acc_seg": 74.47945, "aux.loss_seg": 0.08657, "aux.acc_seg": 73.06153, "loss": 0.25239, "time": 0.66737} -{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.16914, "decode.acc_seg": 75.54929, "aux.loss_seg": 0.08827, "aux.acc_seg": 74.12768, "loss": 0.25741, "time": 0.65619} -{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.1661, "decode.acc_seg": 75.45528, "aux.loss_seg": 0.08686, "aux.acc_seg": 74.04202, "loss": 0.25295, "time": 0.65925} -{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15863, "decode.acc_seg": 74.92308, "aux.loss_seg": 0.08282, "aux.acc_seg": 73.68536, "loss": 0.24145, "time": 0.66145} -{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.16621, "decode.acc_seg": 75.31854, "aux.loss_seg": 0.08684, "aux.acc_seg": 73.94567, "loss": 0.25305, "time": 0.67037} -{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.1543, "decode.acc_seg": 74.74504, "aux.loss_seg": 0.08162, "aux.acc_seg": 73.44582, "loss": 0.23592, "time": 0.64806} -{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.15888, "decode.acc_seg": 75.64813, "aux.loss_seg": 0.08524, "aux.acc_seg": 74.20452, "loss": 0.24412, "time": 0.66328} -{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.16209, "decode.acc_seg": 75.22489, "aux.loss_seg": 0.08476, "aux.acc_seg": 74.02429, "loss": 0.24685, "time": 0.64812} -{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.16191, "decode.acc_seg": 75.42246, "aux.loss_seg": 0.08513, "aux.acc_seg": 74.02092, "loss": 0.24704, "time": 0.64342} -{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15816, "decode.acc_seg": 74.74321, "aux.loss_seg": 0.0838, "aux.acc_seg": 73.37868, "loss": 0.24197, "time": 0.66347} -{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 22752, "data_time": 0.23224, "decode.loss_seg": 0.14977, "decode.acc_seg": 75.90597, "aux.loss_seg": 0.07998, "aux.acc_seg": 74.55644, "loss": 0.22975, "time": 0.87566} -{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.1651, "decode.acc_seg": 74.8538, "aux.loss_seg": 0.0867, "aux.acc_seg": 73.54535, "loss": 0.25179, "time": 0.66353} -{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.16143, "decode.acc_seg": 75.41945, "aux.loss_seg": 0.0858, "aux.acc_seg": 74.03624, "loss": 0.24723, "time": 0.65179} -{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.17219, "decode.acc_seg": 76.76299, "aux.loss_seg": 0.09033, "aux.acc_seg": 75.26813, "loss": 0.26252, "time": 0.66545} -{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.17035, "decode.acc_seg": 75.67478, "aux.loss_seg": 0.09036, "aux.acc_seg": 74.2037, "loss": 0.26071, "time": 0.66705} -{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.15667, "decode.acc_seg": 75.87237, "aux.loss_seg": 0.08228, "aux.acc_seg": 74.62418, "loss": 0.23895, "time": 0.67812} -{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.15954, "decode.acc_seg": 74.57761, "aux.loss_seg": 0.08422, "aux.acc_seg": 73.29414, "loss": 0.24376, "time": 0.68027} -{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.15174, "decode.acc_seg": 74.42449, "aux.loss_seg": 0.08068, "aux.acc_seg": 73.12044, "loss": 0.23242, "time": 0.67488} -{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.16724, "decode.acc_seg": 76.10499, "aux.loss_seg": 0.08703, "aux.acc_seg": 74.77931, "loss": 0.25428, "time": 0.66026} -{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.15741, "decode.acc_seg": 75.9433, "aux.loss_seg": 0.08384, "aux.acc_seg": 74.54169, "loss": 0.24124, "time": 0.6508} -{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 22752, "data_time": 0.01013, "decode.loss_seg": 0.15092, "decode.acc_seg": 74.72074, "aux.loss_seg": 0.08054, "aux.acc_seg": 73.3813, "loss": 0.23146, "time": 0.6589} -{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.15477, "decode.acc_seg": 75.57346, "aux.loss_seg": 0.08313, "aux.acc_seg": 74.22815, "loss": 0.2379, "time": 0.65606} -{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.16104, "decode.acc_seg": 74.53714, "aux.loss_seg": 0.08222, "aux.acc_seg": 73.37886, "loss": 0.24326, "time": 0.65052} -{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.1622, "decode.acc_seg": 75.26081, "aux.loss_seg": 0.08614, "aux.acc_seg": 73.87222, "loss": 0.24834, "time": 0.66882} -{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 22752, "data_time": 0.01105, "decode.loss_seg": 0.15338, "decode.acc_seg": 75.78774, "aux.loss_seg": 0.08236, "aux.acc_seg": 74.39835, "loss": 0.23575, "time": 0.66479} -{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 22752, "data_time": 0.01185, "decode.loss_seg": 0.15719, "decode.acc_seg": 76.17192, "aux.loss_seg": 0.08329, "aux.acc_seg": 74.80269, "loss": 0.24048, "time": 0.65584} -{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 22752, "data_time": 0.01153, "decode.loss_seg": 0.16253, "decode.acc_seg": 75.48856, "aux.loss_seg": 0.08675, "aux.acc_seg": 74.05929, "loss": 0.24929, "time": 0.66102} -{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 22752, "data_time": 0.01198, "decode.loss_seg": 0.15613, "decode.acc_seg": 75.89752, "aux.loss_seg": 0.08286, "aux.acc_seg": 74.49323, "loss": 0.23899, "time": 0.6686} -{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 22752, "data_time": 0.01157, "decode.loss_seg": 0.16054, "decode.acc_seg": 75.69051, "aux.loss_seg": 0.08288, "aux.acc_seg": 74.4092, "loss": 0.24342, "time": 0.67441} -{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 22752, "data_time": 0.01131, "decode.loss_seg": 0.16195, "decode.acc_seg": 75.70814, "aux.loss_seg": 0.08633, "aux.acc_seg": 74.31222, "loss": 0.24828, "time": 0.68125} -{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 22752, "data_time": 0.01067, "decode.loss_seg": 0.16179, "decode.acc_seg": 76.02785, "aux.loss_seg": 0.08481, "aux.acc_seg": 74.71406, "loss": 0.2466, "time": 0.66731} -{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 22752, "data_time": 0.01279, "decode.loss_seg": 0.15972, "decode.acc_seg": 74.79038, "aux.loss_seg": 0.08366, "aux.acc_seg": 73.4488, "loss": 0.24338, "time": 0.64663} -{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 22752, "data_time": 0.0118, "decode.loss_seg": 0.15448, "decode.acc_seg": 75.40183, "aux.loss_seg": 0.08111, "aux.acc_seg": 74.10822, "loss": 0.23559, "time": 0.65074} -{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 22752, "data_time": 0.012, "decode.loss_seg": 0.15556, "decode.acc_seg": 75.43645, "aux.loss_seg": 0.08167, "aux.acc_seg": 74.17599, "loss": 0.23723, "time": 0.66562} -{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 22752, "data_time": 0.01048, "decode.loss_seg": 0.15534, "decode.acc_seg": 75.78723, "aux.loss_seg": 0.08218, "aux.acc_seg": 74.49215, "loss": 0.23753, "time": 0.66375} -{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 22752, "data_time": 0.22926, "decode.loss_seg": 0.17422, "decode.acc_seg": 75.98423, "aux.loss_seg": 0.08984, "aux.acc_seg": 74.685, "loss": 0.26406, "time": 0.84511} -{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.15488, "decode.acc_seg": 74.34987, "aux.loss_seg": 0.08322, "aux.acc_seg": 72.88624, "loss": 0.2381, "time": 0.67065} -{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15288, "decode.acc_seg": 75.73509, "aux.loss_seg": 0.08061, "aux.acc_seg": 74.41548, "loss": 0.23349, "time": 0.66919} -{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.15746, "decode.acc_seg": 74.50966, "aux.loss_seg": 0.08256, "aux.acc_seg": 73.28858, "loss": 0.24003, "time": 0.6629} -{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.16405, "decode.acc_seg": 75.3627, "aux.loss_seg": 0.08679, "aux.acc_seg": 73.9939, "loss": 0.25084, "time": 0.63581} -{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.16536, "decode.acc_seg": 76.41635, "aux.loss_seg": 0.08752, "aux.acc_seg": 75.01783, "loss": 0.25288, "time": 0.65522} -{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.15416, "decode.acc_seg": 75.55541, "aux.loss_seg": 0.08132, "aux.acc_seg": 74.24333, "loss": 0.23548, "time": 0.6668} -{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.16156, "decode.acc_seg": 74.05608, "aux.loss_seg": 0.0862, "aux.acc_seg": 72.60525, "loss": 0.24776, "time": 0.63686} -{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.15655, "decode.acc_seg": 74.36469, "aux.loss_seg": 0.08288, "aux.acc_seg": 73.06554, "loss": 0.23943, "time": 0.64586} -{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.15938, "decode.acc_seg": 75.80808, "aux.loss_seg": 0.08475, "aux.acc_seg": 74.41588, "loss": 0.24412, "time": 0.66476} -{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.15692, "decode.acc_seg": 75.95442, "aux.loss_seg": 0.08235, "aux.acc_seg": 74.62426, "loss": 0.23927, "time": 0.64681} -{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.14774, "decode.acc_seg": 73.80966, "aux.loss_seg": 0.07793, "aux.acc_seg": 72.57408, "loss": 0.22567, "time": 0.65668} -{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 22752, "data_time": 0.00781, "decode.loss_seg": 0.15177, "decode.acc_seg": 75.22841, "aux.loss_seg": 0.08003, "aux.acc_seg": 73.90739, "loss": 0.2318, "time": 0.65538} -{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.15585, "decode.acc_seg": 75.49282, "aux.loss_seg": 0.08254, "aux.acc_seg": 74.15089, "loss": 0.23839, "time": 0.66854} -{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.16627, "decode.acc_seg": 75.72986, "aux.loss_seg": 0.08773, "aux.acc_seg": 74.27635, "loss": 0.254, "time": 0.66517} -{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 22752, "data_time": 0.00793, "decode.loss_seg": 0.15326, "decode.acc_seg": 75.26408, "aux.loss_seg": 0.08048, "aux.acc_seg": 73.95232, "loss": 0.23374, "time": 0.65372} -{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 22752, "data_time": 0.00865, "decode.loss_seg": 0.14816, "decode.acc_seg": 74.39928, "aux.loss_seg": 0.07896, "aux.acc_seg": 73.05832, "loss": 0.22712, "time": 0.67814} -{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 22752, "data_time": 0.00779, "decode.loss_seg": 0.16081, "decode.acc_seg": 75.94854, "aux.loss_seg": 0.08498, "aux.acc_seg": 74.53794, "loss": 0.24579, "time": 0.65633} -{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.16274, "decode.acc_seg": 75.57697, "aux.loss_seg": 0.08533, "aux.acc_seg": 74.18422, "loss": 0.24807, "time": 0.66446} -{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.16172, "decode.acc_seg": 76.31344, "aux.loss_seg": 0.085, "aux.acc_seg": 75.07771, "loss": 0.24673, "time": 0.66049} -{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.15259, "decode.acc_seg": 73.24898, "aux.loss_seg": 0.08089, "aux.acc_seg": 71.91527, "loss": 0.23349, "time": 0.64955} -{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 22752, "data_time": 0.00792, "decode.loss_seg": 0.15211, "decode.acc_seg": 75.3772, "aux.loss_seg": 0.08107, "aux.acc_seg": 74.06062, "loss": 0.23317, "time": 0.65267} -{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.15567, "decode.acc_seg": 75.26407, "aux.loss_seg": 0.08333, "aux.acc_seg": 73.84256, "loss": 0.239, "time": 0.66063} -{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 22752, "data_time": 0.00792, "decode.loss_seg": 0.15926, "decode.acc_seg": 74.38006, "aux.loss_seg": 0.08192, "aux.acc_seg": 73.15854, "loss": 0.24118, "time": 0.67026} -{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.15711, "decode.acc_seg": 76.90505, "aux.loss_seg": 0.0833, "aux.acc_seg": 75.53894, "loss": 0.24041, "time": 0.65463} -{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 22752, "data_time": 0.22785, "decode.loss_seg": 0.15531, "decode.acc_seg": 75.62109, "aux.loss_seg": 0.08188, "aux.acc_seg": 74.28621, "loss": 0.2372, "time": 0.86005} -{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.15311, "decode.acc_seg": 75.14906, "aux.loss_seg": 0.08131, "aux.acc_seg": 73.82404, "loss": 0.23442, "time": 0.65087} -{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.15792, "decode.acc_seg": 75.89173, "aux.loss_seg": 0.08287, "aux.acc_seg": 74.65673, "loss": 0.24079, "time": 0.68019} -{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.15799, "decode.acc_seg": 75.92674, "aux.loss_seg": 0.08281, "aux.acc_seg": 74.6577, "loss": 0.2408, "time": 0.6785} -{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.14966, "decode.acc_seg": 75.0441, "aux.loss_seg": 0.07908, "aux.acc_seg": 73.70762, "loss": 0.22874, "time": 0.64753} -{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.15164, "decode.acc_seg": 74.12543, "aux.loss_seg": 0.0806, "aux.acc_seg": 72.79078, "loss": 0.23224, "time": 0.65648} -{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15843, "decode.acc_seg": 74.89904, "aux.loss_seg": 0.08134, "aux.acc_seg": 73.74431, "loss": 0.23977, "time": 0.65045} -{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.15279, "decode.acc_seg": 75.02268, "aux.loss_seg": 0.08088, "aux.acc_seg": 73.68099, "loss": 0.23367, "time": 0.65318} -{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.15331, "decode.acc_seg": 75.024, "aux.loss_seg": 0.08095, "aux.acc_seg": 73.75949, "loss": 0.23427, "time": 0.64686} -{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.15105, "decode.acc_seg": 74.6395, "aux.loss_seg": 0.07976, "aux.acc_seg": 73.40531, "loss": 0.23081, "time": 0.6721} -{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.15829, "decode.acc_seg": 74.30883, "aux.loss_seg": 0.08417, "aux.acc_seg": 72.89209, "loss": 0.24245, "time": 0.65923} -{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.15806, "decode.acc_seg": 75.85511, "aux.loss_seg": 0.08414, "aux.acc_seg": 74.43638, "loss": 0.2422, "time": 0.67304} -{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.15252, "decode.acc_seg": 75.26709, "aux.loss_seg": 0.08073, "aux.acc_seg": 73.97222, "loss": 0.23325, "time": 0.67297} -{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.161, "decode.acc_seg": 76.83533, "aux.loss_seg": 0.08503, "aux.acc_seg": 75.49834, "loss": 0.24603, "time": 0.64906} -{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.15083, "decode.acc_seg": 75.32973, "aux.loss_seg": 0.0793, "aux.acc_seg": 74.07725, "loss": 0.23013, "time": 0.6626} -{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14852, "decode.acc_seg": 76.5615, "aux.loss_seg": 0.07998, "aux.acc_seg": 75.19021, "loss": 0.2285, "time": 0.64283} -{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.15718, "decode.acc_seg": 75.63454, "aux.loss_seg": 0.08274, "aux.acc_seg": 74.25808, "loss": 0.23992, "time": 0.66051} -{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.1552, "decode.acc_seg": 75.20761, "aux.loss_seg": 0.08183, "aux.acc_seg": 73.84979, "loss": 0.23703, "time": 0.66652} -{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15817, "decode.acc_seg": 75.27198, "aux.loss_seg": 0.08369, "aux.acc_seg": 73.94527, "loss": 0.24186, "time": 0.66141} -{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.15504, "decode.acc_seg": 76.21379, "aux.loss_seg": 0.08209, "aux.acc_seg": 74.86469, "loss": 0.23713, "time": 0.6557} -{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 22752, "data_time": 0.01021, "decode.loss_seg": 0.15865, "decode.acc_seg": 75.719, "aux.loss_seg": 0.08658, "aux.acc_seg": 74.14714, "loss": 0.24522, "time": 0.6674} -{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.16719, "decode.acc_seg": 74.24681, "aux.loss_seg": 0.08738, "aux.acc_seg": 73.00213, "loss": 0.25457, "time": 0.66747} -{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.16372, "decode.acc_seg": 74.72845, "aux.loss_seg": 0.08652, "aux.acc_seg": 73.28819, "loss": 0.25024, "time": 0.66335} -{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.16184, "decode.acc_seg": 75.79624, "aux.loss_seg": 0.08606, "aux.acc_seg": 74.39551, "loss": 0.2479, "time": 0.65332} -{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.16069, "decode.acc_seg": 75.5013, "aux.loss_seg": 0.08536, "aux.acc_seg": 74.05979, "loss": 0.24605, "time": 0.64353} -{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.16918, "decode.acc_seg": 75.57476, "aux.loss_seg": 0.08916, "aux.acc_seg": 74.17949, "loss": 0.25834, "time": 0.66849} -{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 22752, "data_time": 0.23225, "decode.loss_seg": 0.15843, "decode.acc_seg": 76.2943, "aux.loss_seg": 0.08493, "aux.acc_seg": 74.83063, "loss": 0.24336, "time": 0.88461} -{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.15885, "decode.acc_seg": 75.59953, "aux.loss_seg": 0.08308, "aux.acc_seg": 74.28619, "loss": 0.24193, "time": 0.66884} -{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.15283, "decode.acc_seg": 73.97175, "aux.loss_seg": 0.08105, "aux.acc_seg": 72.64346, "loss": 0.23388, "time": 0.64318} -{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.15787, "decode.acc_seg": 75.76938, "aux.loss_seg": 0.0837, "aux.acc_seg": 74.40249, "loss": 0.24157, "time": 0.65487} -{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15575, "decode.acc_seg": 76.3532, "aux.loss_seg": 0.0832, "aux.acc_seg": 74.91941, "loss": 0.23895, "time": 0.66961} -{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.15846, "decode.acc_seg": 74.6246, "aux.loss_seg": 0.0837, "aux.acc_seg": 73.21175, "loss": 0.24216, "time": 0.67477} -{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.16489, "decode.acc_seg": 76.20749, "aux.loss_seg": 0.08666, "aux.acc_seg": 74.7866, "loss": 0.25155, "time": 0.67052} -{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15816, "decode.acc_seg": 75.88412, "aux.loss_seg": 0.08281, "aux.acc_seg": 74.58334, "loss": 0.24097, "time": 0.66508} -{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.1558, "decode.acc_seg": 76.52758, "aux.loss_seg": 0.08275, "aux.acc_seg": 75.10972, "loss": 0.23854, "time": 0.66726} -{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.1528, "decode.acc_seg": 75.20876, "aux.loss_seg": 0.08143, "aux.acc_seg": 73.84385, "loss": 0.23423, "time": 0.65906} -{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.15529, "decode.acc_seg": 74.96867, "aux.loss_seg": 0.08105, "aux.acc_seg": 73.75481, "loss": 0.23634, "time": 0.64811} -{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.15034, "decode.acc_seg": 74.27377, "aux.loss_seg": 0.07999, "aux.acc_seg": 72.92821, "loss": 0.23033, "time": 0.63817} -{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.15867, "decode.acc_seg": 74.98382, "aux.loss_seg": 0.08276, "aux.acc_seg": 73.703, "loss": 0.24143, "time": 0.66818} -{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.16431, "decode.acc_seg": 75.85533, "aux.loss_seg": 0.08606, "aux.acc_seg": 74.4521, "loss": 0.25037, "time": 0.66108} -{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.15728, "decode.acc_seg": 75.43454, "aux.loss_seg": 0.08246, "aux.acc_seg": 74.03484, "loss": 0.23974, "time": 0.6744} -{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.14949, "decode.acc_seg": 75.06359, "aux.loss_seg": 0.07912, "aux.acc_seg": 73.72273, "loss": 0.22861, "time": 0.66164} -{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.15701, "decode.acc_seg": 75.87847, "aux.loss_seg": 0.08309, "aux.acc_seg": 74.51319, "loss": 0.2401, "time": 0.65712} -{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.16057, "decode.acc_seg": 75.85508, "aux.loss_seg": 0.08437, "aux.acc_seg": 74.51363, "loss": 0.24495, "time": 0.65238} -{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.15821, "decode.acc_seg": 74.69854, "aux.loss_seg": 0.08289, "aux.acc_seg": 73.34365, "loss": 0.2411, "time": 0.65662} -{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.15316, "decode.acc_seg": 76.23675, "aux.loss_seg": 0.08112, "aux.acc_seg": 74.88225, "loss": 0.23428, "time": 0.65904} -{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.15917, "decode.acc_seg": 75.15714, "aux.loss_seg": 0.084, "aux.acc_seg": 73.81675, "loss": 0.24318, "time": 0.65316} -{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.16219, "decode.acc_seg": 77.23573, "aux.loss_seg": 0.08721, "aux.acc_seg": 75.7038, "loss": 0.2494, "time": 0.66262} -{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.15848, "decode.acc_seg": 76.38665, "aux.loss_seg": 0.0829, "aux.acc_seg": 75.08418, "loss": 0.24138, "time": 0.66702} -{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.16577, "decode.acc_seg": 74.52507, "aux.loss_seg": 0.0864, "aux.acc_seg": 73.15246, "loss": 0.25216, "time": 0.66378} -{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 22752, "data_time": 0.00945, "decode.loss_seg": 0.14857, "decode.acc_seg": 75.15096, "aux.loss_seg": 0.07936, "aux.acc_seg": 73.79661, "loss": 0.22792, "time": 0.66344} -{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 22752, "data_time": 0.23183, "decode.loss_seg": 0.15694, "decode.acc_seg": 75.62423, "aux.loss_seg": 0.08352, "aux.acc_seg": 74.19704, "loss": 0.24046, "time": 0.8892} -{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.16075, "decode.acc_seg": 76.15076, "aux.loss_seg": 0.08408, "aux.acc_seg": 74.84413, "loss": 0.24484, "time": 0.65074} -{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.1541, "decode.acc_seg": 74.85439, "aux.loss_seg": 0.08016, "aux.acc_seg": 73.57304, "loss": 0.23426, "time": 0.66694} -{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.15622, "decode.acc_seg": 76.82958, "aux.loss_seg": 0.08179, "aux.acc_seg": 75.51087, "loss": 0.23801, "time": 0.64968} -{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.14928, "decode.acc_seg": 74.81689, "aux.loss_seg": 0.08027, "aux.acc_seg": 73.4534, "loss": 0.22955, "time": 0.65847} -{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.16151, "decode.acc_seg": 75.83339, "aux.loss_seg": 0.08662, "aux.acc_seg": 74.31069, "loss": 0.24813, "time": 0.62764} -{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.15291, "decode.acc_seg": 74.76235, "aux.loss_seg": 0.08108, "aux.acc_seg": 73.44883, "loss": 0.23398, "time": 0.65492} -{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.164, "decode.acc_seg": 76.29047, "aux.loss_seg": 0.0859, "aux.acc_seg": 74.97673, "loss": 0.2499, "time": 0.66606} -{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4775, "mAcc": 0.6023, "aAcc": 0.8226, "IoU.wall": 0.7643, "IoU.building": 0.8125, "IoU.sky": 0.9378, "IoU.floor": 0.8129, "IoU.tree": 0.7344, "IoU.ceiling": 0.8274, "IoU.road": 0.8164, "IoU.bed ": 0.8592, "IoU.windowpane": 0.6045, "IoU.grass": 0.691, "IoU.cabinet": 0.5798, "IoU.sidewalk": 0.6277, "IoU.person": 0.7802, "IoU.earth": 0.3564, "IoU.door": 0.4501, "IoU.table": 0.5904, "IoU.mountain": 0.5985, "IoU.plant": 0.493, "IoU.curtain": 0.7033, "IoU.chair": 0.5536, "IoU.car": 0.8253, "IoU.water": 0.5422, "IoU.painting": 0.7243, "IoU.sofa": 0.5999, "IoU.shelf": 0.4373, "IoU.house": 0.4022, "IoU.sea": 0.5567, "IoU.mirror": 0.6596, "IoU.rug": 0.6641, "IoU.field": 0.3036, "IoU.armchair": 0.3947, "IoU.seat": 0.6099, "IoU.fence": 0.4121, "IoU.desk": 0.4846, "IoU.rock": 0.4822, "IoU.wardrobe": 0.5303, "IoU.lamp": 0.6001, "IoU.bathtub": 0.7443, "IoU.railing": 0.3328, "IoU.cushion": 0.5272, "IoU.base": 0.2825, "IoU.box": 0.2586, "IoU.column": 0.4552, "IoU.signboard": 0.3544, "IoU.chest of drawers": 0.3064, "IoU.counter": 0.2211, "IoU.sand": 0.3982, "IoU.sink": 0.7045, "IoU.skyscraper": 0.5076, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7938, "IoU.grandstand": 0.4369, "IoU.path": 0.2305, "IoU.stairs": 0.3086, "IoU.runway": 0.6968, "IoU.case": 0.3766, "IoU.pool table": 0.9011, "IoU.pillow": 0.5474, "IoU.screen door": 0.6699, "IoU.stairway": 0.3036, "IoU.river": 0.1117, "IoU.bridge": 0.6751, "IoU.bookcase": 0.4052, "IoU.blind": NaN, "IoU.coffee table": 0.5402, "IoU.toilet": 0.84, "IoU.flower": 0.4183, "IoU.book": 0.4477, "IoU.hill": 0.1133, "IoU.bench": 0.4183, "IoU.countertop": 0.4944, "IoU.stove": 0.6966, "IoU.palm": 0.5122, "IoU.kitchen island": 0.4115, "IoU.computer": 0.6409, "IoU.swivel chair": 0.4499, "IoU.boat": 0.4194, "IoU.bar": 0.4507, "IoU.arcade machine": 0.5275, "IoU.hovel": 0.2014, "IoU.bus": 0.8329, "IoU.towel": 0.6864, "IoU.light": 0.5376, "IoU.truck": 0.182, "IoU.tower": 0.1799, "IoU.chandelier": 0.6604, "IoU.awning": 0.2747, "IoU.streetlight": 0.218, "IoU.booth": 0.5626, "IoU.television receiver": NaN, "IoU.airplane": 0.5831, "IoU.dirt track": 0.1027, "IoU.apparel": 0.3239, "IoU.pole": 0.1422, "IoU.land": 0.0411, "IoU.bannister": 0.0979, "IoU.escalator": 0.2454, "IoU.ottoman": 0.3659, "IoU.bottle": NaN, "IoU.buffet": 0.4858, "IoU.poster": 0.2724, "IoU.stage": 0.2129, "IoU.van": 0.3832, "IoU.ship": 0.5958, "IoU.fountain": 0.3243, "IoU.conveyer belt": 0.8096, "IoU.canopy": 0.1756, "IoU.washer": 0.7159, "IoU.plaything": 0.2032, "IoU.swimming pool": 0.5905, "IoU.stool": 0.3884, "IoU.barrel": 0.6642, "IoU.basket": 0.3359, "IoU.waterfall": 0.5835, "IoU.tent": 0.9297, "IoU.bag": 0.1036, "IoU.minibike": 0.7475, "IoU.cradle": NaN, "IoU.oven": 0.4946, "IoU.ball": 0.3777, "IoU.food": 0.4231, "IoU.step": 0.0409, "IoU.tank": 0.5337, "IoU.trade name": 0.2969, "IoU.microwave": 0.7846, "IoU.pot": 0.5169, "IoU.animal": NaN, "IoU.bicycle": 0.5127, "IoU.lake": 0.5575, "IoU.dishwasher": 0.5138, "IoU.screen": 0.6615, "IoU.blanket": 0.1248, "IoU.sculpture": 0.6539, "IoU.hood": 0.6074, "IoU.sconce": 0.4617, "IoU.vase": 0.3565, "IoU.traffic light": 0.2929, "IoU.tray": 0.0921, "IoU.ashcan": 0.3968, "IoU.fan": 0.588, "IoU.pier": 0.3627, "IoU.crt screen": 0.043, "IoU.plate": 0.5345, "IoU.monitor": 0.2033, "IoU.bulletin board": 0.3743, "IoU.shower": 0.0532, "IoU.radiator": 0.5866, "IoU.glass": 0.1365, "IoU.clock": 0.3143, "IoU.flag": 0.3487, "Acc.wall": 0.8786, "Acc.building": 0.9198, "Acc.sky": 0.9693, "Acc.floor": 0.902, "Acc.tree": 0.8734, "Acc.ceiling": 0.9372, "Acc.road": 0.8784, "Acc.bed ": 0.9464, "Acc.windowpane": 0.7797, "Acc.grass": 0.8776, "Acc.cabinet": 0.6976, "Acc.sidewalk": 0.8316, "Acc.person": 0.9125, "Acc.earth": 0.4494, "Acc.door": 0.5534, "Acc.table": 0.7411, "Acc.mountain": 0.7349, "Acc.plant": 0.5918, "Acc.curtain": 0.8178, "Acc.chair": 0.6765, "Acc.car": 0.9092, "Acc.water": 0.6993, "Acc.painting": 0.8578, "Acc.sofa": 0.7802, "Acc.shelf": 0.5935, "Acc.house": 0.5559, "Acc.sea": 0.7558, "Acc.mirror": 0.7359, "Acc.rug": 0.7341, "Acc.field": 0.4358, "Acc.armchair": 0.596, "Acc.seat": 0.805, "Acc.fence": 0.5089, "Acc.desk": 0.6742, "Acc.rock": 0.7999, "Acc.wardrobe": 0.7371, "Acc.lamp": 0.7428, "Acc.bathtub": 0.8256, "Acc.railing": 0.4717, "Acc.cushion": 0.6925, "Acc.base": 0.4022, "Acc.box": 0.3251, "Acc.column": 0.5882, "Acc.signboard": 0.4797, "Acc.chest of drawers": 0.5677, "Acc.counter": 0.2682, "Acc.sand": 0.6464, "Acc.sink": 0.7988, "Acc.skyscraper": 0.6488, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8903, "Acc.grandstand": 0.7514, "Acc.path": 0.3249, "Acc.stairs": 0.4133, "Acc.runway": 0.9166, "Acc.case": 0.4461, "Acc.pool table": 0.9579, "Acc.pillow": 0.6308, "Acc.screen door": 0.7838, "Acc.stairway": 0.3671, "Acc.river": 0.2089, "Acc.bridge": 0.7753, "Acc.bookcase": 0.5042, "Acc.blind": NaN, "Acc.coffee table": 0.8092, "Acc.toilet": 0.8973, "Acc.flower": 0.6199, "Acc.book": 0.655, "Acc.hill": 0.1789, "Acc.bench": 0.4803, "Acc.countertop": 0.6356, "Acc.stove": 0.7822, "Acc.palm": 0.7942, "Acc.kitchen island": 0.835, "Acc.computer": 0.7569, "Acc.swivel chair": 0.6449, "Acc.boat": 0.5077, "Acc.bar": 0.6321, "Acc.arcade machine": 0.5617, "Acc.hovel": 0.2147, "Acc.bus": 0.9559, "Acc.towel": 0.8027, "Acc.light": 0.6218, "Acc.truck": 0.2375, "Acc.tower": 0.299, "Acc.chandelier": 0.8149, "Acc.awning": 0.3549, "Acc.streetlight": 0.304, "Acc.booth": 0.7191, "Acc.television receiver": NaN, "Acc.airplane": 0.6733, "Acc.dirt track": 0.4949, "Acc.apparel": 0.4415, "Acc.pole": 0.186, "Acc.land": 0.0499, "Acc.bannister": 0.1203, "Acc.escalator": 0.289, "Acc.ottoman": 0.5158, "Acc.bottle": NaN, "Acc.buffet": 0.5857, "Acc.poster": 0.3461, "Acc.stage": 0.2965, "Acc.van": 0.5408, "Acc.ship": 0.9374, "Acc.fountain": 0.3285, "Acc.conveyer belt": 0.9224, "Acc.canopy": 0.2683, "Acc.washer": 0.7535, "Acc.plaything": 0.3212, "Acc.swimming pool": 0.8793, "Acc.stool": 0.5524, "Acc.barrel": 0.886, "Acc.basket": 0.442, "Acc.waterfall": 0.7891, "Acc.tent": 0.9738, "Acc.bag": 0.1219, "Acc.minibike": 0.8853, "Acc.cradle": NaN, "Acc.oven": 0.6917, "Acc.ball": 0.4495, "Acc.food": 0.5078, "Acc.step": 0.0463, "Acc.tank": 0.6567, "Acc.trade name": 0.3459, "Acc.microwave": 0.9027, "Acc.pot": 0.5767, "Acc.animal": NaN, "Acc.bicycle": 0.7158, "Acc.lake": 0.6557, "Acc.dishwasher": 0.6958, "Acc.screen": 0.8485, "Acc.blanket": 0.1439, "Acc.sculpture": 0.7595, "Acc.hood": 0.6951, "Acc.sconce": 0.5659, "Acc.vase": 0.4813, "Acc.traffic light": 0.4424, "Acc.tray": 0.2739, "Acc.ashcan": 0.5266, "Acc.fan": 0.7236, "Acc.pier": 0.509, "Acc.crt screen": 0.1349, "Acc.plate": 0.6919, "Acc.monitor": 0.2526, "Acc.bulletin board": 0.4395, "Acc.shower": 0.0612, "Acc.radiator": 0.7233, "Acc.glass": 0.148, "Acc.clock": 0.3772, "Acc.flag": 0.3934} -{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 22752, "data_time": 1.62729, "decode.loss_seg": 0.14681, "decode.acc_seg": 77.18655, "aux.loss_seg": 0.07738, "aux.acc_seg": 75.80697, "loss": 0.22419, "time": 2.27862} -{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.15945, "decode.acc_seg": 75.79678, "aux.loss_seg": 0.08472, "aux.acc_seg": 74.40705, "loss": 0.24417, "time": 0.67163} -{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.14242, "decode.acc_seg": 75.02783, "aux.loss_seg": 0.07604, "aux.acc_seg": 73.71625, "loss": 0.21847, "time": 0.66969} -{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.16264, "decode.acc_seg": 77.56542, "aux.loss_seg": 0.0851, "aux.acc_seg": 76.15898, "loss": 0.24775, "time": 0.66664} -{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.15757, "decode.acc_seg": 74.75122, "aux.loss_seg": 0.08285, "aux.acc_seg": 73.4143, "loss": 0.24042, "time": 0.6727} -{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15711, "decode.acc_seg": 75.90717, "aux.loss_seg": 0.08308, "aux.acc_seg": 74.5173, "loss": 0.24019, "time": 0.6755} -{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.14897, "decode.acc_seg": 75.83514, "aux.loss_seg": 0.07915, "aux.acc_seg": 74.51389, "loss": 0.22811, "time": 0.67895} -{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.14959, "decode.acc_seg": 76.36585, "aux.loss_seg": 0.07969, "aux.acc_seg": 75.00569, "loss": 0.22928, "time": 0.66491} -{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.1507, "decode.acc_seg": 74.56184, "aux.loss_seg": 0.0803, "aux.acc_seg": 73.19232, "loss": 0.231, "time": 0.66198} -{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.15784, "decode.acc_seg": 74.92783, "aux.loss_seg": 0.08342, "aux.acc_seg": 73.58756, "loss": 0.24126, "time": 0.67638} -{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.14383, "decode.acc_seg": 74.6476, "aux.loss_seg": 0.07627, "aux.acc_seg": 73.38106, "loss": 0.2201, "time": 0.65424} -{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.16474, "decode.acc_seg": 76.63059, "aux.loss_seg": 0.08693, "aux.acc_seg": 75.24332, "loss": 0.25166, "time": 0.6683} -{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.16139, "decode.acc_seg": 75.7456, "aux.loss_seg": 0.08478, "aux.acc_seg": 74.30476, "loss": 0.24617, "time": 0.65161} -{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.1575, "decode.acc_seg": 76.95144, "aux.loss_seg": 0.084, "aux.acc_seg": 75.50136, "loss": 0.2415, "time": 0.65716} -{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.15505, "decode.acc_seg": 75.45365, "aux.loss_seg": 0.0824, "aux.acc_seg": 74.1228, "loss": 0.23745, "time": 0.68283} -{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.15277, "decode.acc_seg": 75.21519, "aux.loss_seg": 0.08288, "aux.acc_seg": 73.74484, "loss": 0.23565, "time": 0.67206} -{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 22752, "data_time": 0.23484, "decode.loss_seg": 0.15912, "decode.acc_seg": 74.1632, "aux.loss_seg": 0.08432, "aux.acc_seg": 72.67437, "loss": 0.24344, "time": 0.87455} -{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14607, "decode.acc_seg": 75.18385, "aux.loss_seg": 0.07643, "aux.acc_seg": 73.95362, "loss": 0.2225, "time": 0.65934} -{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.15609, "decode.acc_seg": 74.68012, "aux.loss_seg": 0.08478, "aux.acc_seg": 73.19242, "loss": 0.24086, "time": 0.67054} -{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.1501, "decode.acc_seg": 74.98876, "aux.loss_seg": 0.07992, "aux.acc_seg": 73.68676, "loss": 0.23002, "time": 0.6448} -{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.15477, "decode.acc_seg": 75.43121, "aux.loss_seg": 0.08259, "aux.acc_seg": 74.05517, "loss": 0.23735, "time": 0.65124} -{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.1563, "decode.acc_seg": 75.82518, "aux.loss_seg": 0.08419, "aux.acc_seg": 74.33418, "loss": 0.24049, "time": 0.66462} -{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15608, "decode.acc_seg": 76.04154, "aux.loss_seg": 0.08129, "aux.acc_seg": 74.76758, "loss": 0.23737, "time": 0.67312} -{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.14981, "decode.acc_seg": 76.31146, "aux.loss_seg": 0.07998, "aux.acc_seg": 75.02025, "loss": 0.22979, "time": 0.67448} -{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.15802, "decode.acc_seg": 77.0466, "aux.loss_seg": 0.08403, "aux.acc_seg": 75.6559, "loss": 0.24204, "time": 0.64577} -{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 22752, "data_time": 0.00936, "decode.loss_seg": 0.15088, "decode.acc_seg": 76.0034, "aux.loss_seg": 0.0801, "aux.acc_seg": 74.68308, "loss": 0.23097, "time": 0.682} -{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15181, "decode.acc_seg": 75.17033, "aux.loss_seg": 0.07964, "aux.acc_seg": 73.93492, "loss": 0.23146, "time": 0.66832} -{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.15065, "decode.acc_seg": 75.98053, "aux.loss_seg": 0.08105, "aux.acc_seg": 74.5337, "loss": 0.2317, "time": 0.66993} -{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.15552, "decode.acc_seg": 76.67351, "aux.loss_seg": 0.08221, "aux.acc_seg": 75.34234, "loss": 0.23773, "time": 0.66671} -{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 22752, "data_time": 0.00876, "decode.loss_seg": 0.14603, "decode.acc_seg": 74.7163, "aux.loss_seg": 0.07799, "aux.acc_seg": 73.38793, "loss": 0.22402, "time": 0.67457} -{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 22752, "data_time": 0.01018, "decode.loss_seg": 0.15218, "decode.acc_seg": 76.4149, "aux.loss_seg": 0.08161, "aux.acc_seg": 74.94919, "loss": 0.23379, "time": 0.67866} -{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.1632, "decode.acc_seg": 74.98984, "aux.loss_seg": 0.08634, "aux.acc_seg": 73.68743, "loss": 0.24954, "time": 0.67229} -{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.16169, "decode.acc_seg": 75.4831, "aux.loss_seg": 0.08512, "aux.acc_seg": 74.09966, "loss": 0.24682, "time": 0.66887} -{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14851, "decode.acc_seg": 75.34188, "aux.loss_seg": 0.07985, "aux.acc_seg": 73.95042, "loss": 0.22836, "time": 0.65165} -{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.14681, "decode.acc_seg": 75.62893, "aux.loss_seg": 0.07868, "aux.acc_seg": 74.31064, "loss": 0.22549, "time": 0.68211} -{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.15342, "decode.acc_seg": 74.62878, "aux.loss_seg": 0.08072, "aux.acc_seg": 73.31721, "loss": 0.23414, "time": 0.66635} -{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.15354, "decode.acc_seg": 76.20202, "aux.loss_seg": 0.08026, "aux.acc_seg": 74.98393, "loss": 0.23379, "time": 0.65254} -{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 22752, "data_time": 0.0082, "decode.loss_seg": 0.1561, "decode.acc_seg": 74.75035, "aux.loss_seg": 0.08194, "aux.acc_seg": 73.41175, "loss": 0.23805, "time": 0.65645} -{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 22752, "data_time": 0.00808, "decode.loss_seg": 0.15555, "decode.acc_seg": 75.39328, "aux.loss_seg": 0.0836, "aux.acc_seg": 73.94553, "loss": 0.23914, "time": 0.65609} -{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.14975, "decode.acc_seg": 75.17926, "aux.loss_seg": 0.07862, "aux.acc_seg": 73.88573, "loss": 0.22837, "time": 0.67018} -{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.16166, "decode.acc_seg": 75.44547, "aux.loss_seg": 0.08274, "aux.acc_seg": 74.29461, "loss": 0.2444, "time": 0.68266} -{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 22752, "data_time": 0.23141, "decode.loss_seg": 0.15505, "decode.acc_seg": 76.43417, "aux.loss_seg": 0.08293, "aux.acc_seg": 74.98745, "loss": 0.23798, "time": 0.88982} -{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.15148, "decode.acc_seg": 76.58866, "aux.loss_seg": 0.07968, "aux.acc_seg": 75.28494, "loss": 0.23116, "time": 0.65173} -{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.15723, "decode.acc_seg": 75.59781, "aux.loss_seg": 0.08267, "aux.acc_seg": 74.24786, "loss": 0.2399, "time": 0.67907} -{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14948, "decode.acc_seg": 75.64388, "aux.loss_seg": 0.07829, "aux.acc_seg": 74.39747, "loss": 0.22777, "time": 0.67499} -{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.15718, "decode.acc_seg": 76.03536, "aux.loss_seg": 0.08407, "aux.acc_seg": 74.64991, "loss": 0.24125, "time": 0.65537} -{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.16115, "decode.acc_seg": 76.07503, "aux.loss_seg": 0.08413, "aux.acc_seg": 74.79173, "loss": 0.24528, "time": 0.66689} -{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.15136, "decode.acc_seg": 75.68411, "aux.loss_seg": 0.08146, "aux.acc_seg": 74.24964, "loss": 0.23282, "time": 0.64745} -{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.15573, "decode.acc_seg": 75.10291, "aux.loss_seg": 0.08092, "aux.acc_seg": 73.89013, "loss": 0.23665, "time": 0.66914} -{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.15786, "decode.acc_seg": 75.15226, "aux.loss_seg": 0.08307, "aux.acc_seg": 73.91609, "loss": 0.24093, "time": 0.67404} -{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.1564, "decode.acc_seg": 76.23462, "aux.loss_seg": 0.08307, "aux.acc_seg": 74.78883, "loss": 0.23947, "time": 0.67506} -{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15231, "decode.acc_seg": 75.55093, "aux.loss_seg": 0.08165, "aux.acc_seg": 74.17254, "loss": 0.23396, "time": 0.66791} -{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.15773, "decode.acc_seg": 74.51004, "aux.loss_seg": 0.08355, "aux.acc_seg": 73.10658, "loss": 0.24128, "time": 0.68156} -{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14317, "decode.acc_seg": 74.34468, "aux.loss_seg": 0.0764, "aux.acc_seg": 73.05963, "loss": 0.21957, "time": 0.66503} -{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.15917, "decode.acc_seg": 75.5196, "aux.loss_seg": 0.08369, "aux.acc_seg": 74.13352, "loss": 0.24286, "time": 0.65663} -{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.15217, "decode.acc_seg": 75.97537, "aux.loss_seg": 0.08143, "aux.acc_seg": 74.62268, "loss": 0.23359, "time": 0.66088} -{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 22752, "data_time": 0.00807, "decode.loss_seg": 0.15373, "decode.acc_seg": 74.42298, "aux.loss_seg": 0.0808, "aux.acc_seg": 73.12415, "loss": 0.23453, "time": 0.6519} -{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.14352, "decode.acc_seg": 74.7044, "aux.loss_seg": 0.07728, "aux.acc_seg": 73.33825, "loss": 0.2208, "time": 0.68187} -{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.16065, "decode.acc_seg": 75.85412, "aux.loss_seg": 0.0835, "aux.acc_seg": 74.58294, "loss": 0.24415, "time": 0.67177} -{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.15216, "decode.acc_seg": 77.21925, "aux.loss_seg": 0.08117, "aux.acc_seg": 75.85307, "loss": 0.23333, "time": 0.66365} -{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14066, "decode.acc_seg": 74.49162, "aux.loss_seg": 0.07494, "aux.acc_seg": 73.24773, "loss": 0.21561, "time": 0.67383} -{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.14797, "decode.acc_seg": 74.20594, "aux.loss_seg": 0.07929, "aux.acc_seg": 72.83816, "loss": 0.22726, "time": 0.64612} -{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 22752, "data_time": 0.00818, "decode.loss_seg": 0.15151, "decode.acc_seg": 75.68786, "aux.loss_seg": 0.08036, "aux.acc_seg": 74.33927, "loss": 0.23186, "time": 0.66178} -{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.14559, "decode.acc_seg": 76.28198, "aux.loss_seg": 0.0787, "aux.acc_seg": 74.90199, "loss": 0.22429, "time": 0.65574} -{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 22752, "data_time": 0.00798, "decode.loss_seg": 0.15222, "decode.acc_seg": 76.27456, "aux.loss_seg": 0.08032, "aux.acc_seg": 74.99032, "loss": 0.23254, "time": 0.67414} -{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15318, "decode.acc_seg": 75.09772, "aux.loss_seg": 0.08252, "aux.acc_seg": 73.6462, "loss": 0.23571, "time": 0.67061} -{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.1613, "decode.acc_seg": 74.71527, "aux.loss_seg": 0.08294, "aux.acc_seg": 73.57125, "loss": 0.24424, "time": 0.6623} -{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 22752, "data_time": 0.22961, "decode.loss_seg": 0.15759, "decode.acc_seg": 76.59152, "aux.loss_seg": 0.08336, "aux.acc_seg": 75.24997, "loss": 0.24095, "time": 0.88559} -{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.15532, "decode.acc_seg": 75.16656, "aux.loss_seg": 0.08194, "aux.acc_seg": 73.79099, "loss": 0.23726, "time": 0.66689} -{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.15331, "decode.acc_seg": 75.65377, "aux.loss_seg": 0.08159, "aux.acc_seg": 74.24631, "loss": 0.23489, "time": 0.67757} -{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.15852, "decode.acc_seg": 75.10412, "aux.loss_seg": 0.08479, "aux.acc_seg": 73.70422, "loss": 0.24331, "time": 0.67575} -{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.15005, "decode.acc_seg": 75.94638, "aux.loss_seg": 0.07947, "aux.acc_seg": 74.63016, "loss": 0.22953, "time": 0.68348} -{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.15777, "decode.acc_seg": 74.8736, "aux.loss_seg": 0.08362, "aux.acc_seg": 73.61331, "loss": 0.24138, "time": 0.66619} -{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.1502, "decode.acc_seg": 76.90161, "aux.loss_seg": 0.0807, "aux.acc_seg": 75.42561, "loss": 0.2309, "time": 0.65914} -{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.14272, "decode.acc_seg": 75.37101, "aux.loss_seg": 0.07615, "aux.acc_seg": 74.06955, "loss": 0.21888, "time": 0.67232} -{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.16427, "decode.acc_seg": 72.53551, "aux.loss_seg": 0.08544, "aux.acc_seg": 71.17958, "loss": 0.24971, "time": 0.66816} -{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.15682, "decode.acc_seg": 75.00935, "aux.loss_seg": 0.08255, "aux.acc_seg": 73.71553, "loss": 0.23937, "time": 0.66932} -{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.15278, "decode.acc_seg": 75.34013, "aux.loss_seg": 0.08149, "aux.acc_seg": 73.94989, "loss": 0.23427, "time": 0.66759} -{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.14688, "decode.acc_seg": 75.50184, "aux.loss_seg": 0.07809, "aux.acc_seg": 74.21161, "loss": 0.22498, "time": 0.67028} -{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.1663, "decode.acc_seg": 76.14217, "aux.loss_seg": 0.088, "aux.acc_seg": 74.67075, "loss": 0.2543, "time": 0.64867} -{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.15402, "decode.acc_seg": 77.01897, "aux.loss_seg": 0.08221, "aux.acc_seg": 75.59577, "loss": 0.23622, "time": 0.66145} -{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 22752, "data_time": 0.00831, "decode.loss_seg": 0.155, "decode.acc_seg": 76.6562, "aux.loss_seg": 0.08255, "aux.acc_seg": 75.27186, "loss": 0.23755, "time": 0.66344} -{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.15633, "decode.acc_seg": 75.62717, "aux.loss_seg": 0.08257, "aux.acc_seg": 74.32885, "loss": 0.23889, "time": 0.66864} -{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.15198, "decode.acc_seg": 76.02589, "aux.loss_seg": 0.07978, "aux.acc_seg": 74.77948, "loss": 0.23176, "time": 0.65678} -{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 22752, "data_time": 0.00826, "decode.loss_seg": 0.15617, "decode.acc_seg": 75.10787, "aux.loss_seg": 0.08285, "aux.acc_seg": 73.74419, "loss": 0.23901, "time": 0.65373} -{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14426, "decode.acc_seg": 75.25703, "aux.loss_seg": 0.07733, "aux.acc_seg": 73.92919, "loss": 0.22159, "time": 0.66181} -{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 22752, "data_time": 0.00815, "decode.loss_seg": 0.14984, "decode.acc_seg": 76.38921, "aux.loss_seg": 0.07914, "aux.acc_seg": 75.12902, "loss": 0.22899, "time": 0.66661} -{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.14954, "decode.acc_seg": 76.1971, "aux.loss_seg": 0.07899, "aux.acc_seg": 74.86166, "loss": 0.22853, "time": 0.66281} -{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.14799, "decode.acc_seg": 76.10218, "aux.loss_seg": 0.07891, "aux.acc_seg": 74.75956, "loss": 0.22691, "time": 0.6646} -{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.15153, "decode.acc_seg": 76.35711, "aux.loss_seg": 0.07981, "aux.acc_seg": 75.1331, "loss": 0.23134, "time": 0.67573} -{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.1457, "decode.acc_seg": 75.53259, "aux.loss_seg": 0.07751, "aux.acc_seg": 74.23189, "loss": 0.22321, "time": 0.64931} -{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 22752, "data_time": 0.00805, "decode.loss_seg": 0.15701, "decode.acc_seg": 74.53356, "aux.loss_seg": 0.08361, "aux.acc_seg": 73.15476, "loss": 0.24062, "time": 0.66829} -{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 22752, "data_time": 0.23442, "decode.loss_seg": 0.15194, "decode.acc_seg": 76.27459, "aux.loss_seg": 0.08101, "aux.acc_seg": 74.87554, "loss": 0.23295, "time": 0.88006} -{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.14702, "decode.acc_seg": 75.80737, "aux.loss_seg": 0.0789, "aux.acc_seg": 74.49055, "loss": 0.22593, "time": 0.65831} -{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.15126, "decode.acc_seg": 76.03904, "aux.loss_seg": 0.08136, "aux.acc_seg": 74.63503, "loss": 0.23262, "time": 0.64822} -{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.16234, "decode.acc_seg": 74.08224, "aux.loss_seg": 0.08522, "aux.acc_seg": 72.78528, "loss": 0.24756, "time": 0.65356} -{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 22752, "data_time": 0.008, "decode.loss_seg": 0.15401, "decode.acc_seg": 75.2169, "aux.loss_seg": 0.08109, "aux.acc_seg": 73.83065, "loss": 0.23509, "time": 0.66422} -{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.15638, "decode.acc_seg": 76.23396, "aux.loss_seg": 0.08315, "aux.acc_seg": 74.92927, "loss": 0.23953, "time": 0.6758} -{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.14354, "decode.acc_seg": 75.23066, "aux.loss_seg": 0.07628, "aux.acc_seg": 73.95365, "loss": 0.21981, "time": 0.66174} -{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.14881, "decode.acc_seg": 75.1966, "aux.loss_seg": 0.07904, "aux.acc_seg": 73.84317, "loss": 0.22785, "time": 0.67728} -{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.15583, "decode.acc_seg": 77.61274, "aux.loss_seg": 0.08371, "aux.acc_seg": 76.15862, "loss": 0.23954, "time": 0.67408} -{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.1528, "decode.acc_seg": 76.3669, "aux.loss_seg": 0.08168, "aux.acc_seg": 74.98481, "loss": 0.23448, "time": 0.67619} -{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.14337, "decode.acc_seg": 75.64669, "aux.loss_seg": 0.07631, "aux.acc_seg": 74.32576, "loss": 0.21968, "time": 0.67796} -{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15715, "decode.acc_seg": 75.33965, "aux.loss_seg": 0.08348, "aux.acc_seg": 73.93402, "loss": 0.24063, "time": 0.67315} -{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.16687, "decode.acc_seg": 74.69953, "aux.loss_seg": 0.08858, "aux.acc_seg": 73.34743, "loss": 0.25545, "time": 0.67324} -{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.14616, "decode.acc_seg": 75.66508, "aux.loss_seg": 0.07793, "aux.acc_seg": 74.40821, "loss": 0.22408, "time": 0.6491} -{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.16199, "decode.acc_seg": 76.7907, "aux.loss_seg": 0.08688, "aux.acc_seg": 75.26139, "loss": 0.24887, "time": 0.68071} -{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.16281, "decode.acc_seg": 76.03216, "aux.loss_seg": 0.08548, "aux.acc_seg": 74.65036, "loss": 0.24829, "time": 0.66879} -{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.15705, "decode.acc_seg": 76.2527, "aux.loss_seg": 0.08431, "aux.acc_seg": 74.83172, "loss": 0.24136, "time": 0.66204} -{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.15178, "decode.acc_seg": 75.4262, "aux.loss_seg": 0.0807, "aux.acc_seg": 74.10087, "loss": 0.23248, "time": 0.66188} -{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 22752, "data_time": 0.0084, "decode.loss_seg": 0.13837, "decode.acc_seg": 74.36047, "aux.loss_seg": 0.07461, "aux.acc_seg": 73.03396, "loss": 0.21298, "time": 0.67779} -{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14734, "decode.acc_seg": 75.0688, "aux.loss_seg": 0.07825, "aux.acc_seg": 73.7039, "loss": 0.22558, "time": 0.68136} -{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.1507, "decode.acc_seg": 76.19267, "aux.loss_seg": 0.08098, "aux.acc_seg": 74.82128, "loss": 0.23167, "time": 0.65213} -{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.14714, "decode.acc_seg": 75.1523, "aux.loss_seg": 0.07895, "aux.acc_seg": 73.80233, "loss": 0.22608, "time": 0.66065} -{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.14417, "decode.acc_seg": 75.74693, "aux.loss_seg": 0.07721, "aux.acc_seg": 74.48915, "loss": 0.22138, "time": 0.67806} -{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14953, "decode.acc_seg": 75.34425, "aux.loss_seg": 0.07825, "aux.acc_seg": 74.09252, "loss": 0.22778, "time": 0.66809} -{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.16154, "decode.acc_seg": 75.52296, "aux.loss_seg": 0.08579, "aux.acc_seg": 74.14057, "loss": 0.24733, "time": 0.6597} -{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 22752, "data_time": 0.22907, "decode.loss_seg": 0.154, "decode.acc_seg": 75.24275, "aux.loss_seg": 0.08215, "aux.acc_seg": 73.82598, "loss": 0.23615, "time": 0.8985} -{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14597, "decode.acc_seg": 76.40348, "aux.loss_seg": 0.07809, "aux.acc_seg": 75.11382, "loss": 0.22406, "time": 0.67705} -{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.15366, "decode.acc_seg": 76.01274, "aux.loss_seg": 0.0812, "aux.acc_seg": 74.62396, "loss": 0.23486, "time": 0.64866} -{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.15358, "decode.acc_seg": 75.58388, "aux.loss_seg": 0.08132, "aux.acc_seg": 74.31859, "loss": 0.2349, "time": 0.67474} -{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.14695, "decode.acc_seg": 76.36333, "aux.loss_seg": 0.08006, "aux.acc_seg": 74.83282, "loss": 0.227, "time": 0.65402} -{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 22752, "data_time": 0.00868, "decode.loss_seg": 0.15013, "decode.acc_seg": 76.04023, "aux.loss_seg": 0.07827, "aux.acc_seg": 74.79703, "loss": 0.2284, "time": 0.66132} -{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 22752, "data_time": 0.0087, "decode.loss_seg": 0.15645, "decode.acc_seg": 75.82517, "aux.loss_seg": 0.0824, "aux.acc_seg": 74.45278, "loss": 0.23885, "time": 0.647} -{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.15671, "decode.acc_seg": 76.16081, "aux.loss_seg": 0.08349, "aux.acc_seg": 74.85389, "loss": 0.2402, "time": 0.6452} -{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 22752, "data_time": 0.00858, "decode.loss_seg": 0.14502, "decode.acc_seg": 74.83975, "aux.loss_seg": 0.07663, "aux.acc_seg": 73.57258, "loss": 0.22165, "time": 0.6632} -{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.15078, "decode.acc_seg": 75.3207, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.03532, "loss": 0.22981, "time": 0.66123} -{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.15597, "decode.acc_seg": 76.71715, "aux.loss_seg": 0.08401, "aux.acc_seg": 75.29832, "loss": 0.23998, "time": 0.66481} -{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.14254, "decode.acc_seg": 75.41289, "aux.loss_seg": 0.07671, "aux.acc_seg": 74.1388, "loss": 0.21925, "time": 0.66254} -{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.14437, "decode.acc_seg": 75.47243, "aux.loss_seg": 0.07749, "aux.acc_seg": 74.15741, "loss": 0.22186, "time": 0.65947} -{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 22752, "data_time": 0.00882, "decode.loss_seg": 0.15711, "decode.acc_seg": 76.43629, "aux.loss_seg": 0.08423, "aux.acc_seg": 75.05358, "loss": 0.24134, "time": 0.67072} -{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 22752, "data_time": 0.00862, "decode.loss_seg": 0.14867, "decode.acc_seg": 75.52262, "aux.loss_seg": 0.0804, "aux.acc_seg": 74.12216, "loss": 0.22907, "time": 0.66143} -{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.14902, "decode.acc_seg": 76.53458, "aux.loss_seg": 0.07905, "aux.acc_seg": 75.19354, "loss": 0.22807, "time": 0.67363} -{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.16195, "decode.acc_seg": 75.15471, "aux.loss_seg": 0.08587, "aux.acc_seg": 73.66693, "loss": 0.24781, "time": 0.67642} -{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.15421, "decode.acc_seg": 75.9706, "aux.loss_seg": 0.0809, "aux.acc_seg": 74.69762, "loss": 0.23511, "time": 0.64817} -{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.15794, "decode.acc_seg": 75.63673, "aux.loss_seg": 0.08463, "aux.acc_seg": 74.20074, "loss": 0.24256, "time": 0.6695} -{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 22752, "data_time": 0.00864, "decode.loss_seg": 0.15294, "decode.acc_seg": 75.71774, "aux.loss_seg": 0.08226, "aux.acc_seg": 74.33268, "loss": 0.2352, "time": 0.67178} -{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 22752, "data_time": 0.00857, "decode.loss_seg": 0.14443, "decode.acc_seg": 76.9322, "aux.loss_seg": 0.07733, "aux.acc_seg": 75.61494, "loss": 0.22176, "time": 0.67361} -{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.14933, "decode.acc_seg": 76.52672, "aux.loss_seg": 0.07888, "aux.acc_seg": 75.29234, "loss": 0.22821, "time": 0.67242} -{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.14608, "decode.acc_seg": 74.2367, "aux.loss_seg": 0.07854, "aux.acc_seg": 72.94135, "loss": 0.22462, "time": 0.65419} -{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15515, "decode.acc_seg": 76.70232, "aux.loss_seg": 0.08143, "aux.acc_seg": 75.4003, "loss": 0.23658, "time": 0.66578} -{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.14435, "decode.acc_seg": 74.85328, "aux.loss_seg": 0.07686, "aux.acc_seg": 73.59659, "loss": 0.22121, "time": 0.66278} -{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 22752, "data_time": 0.22815, "decode.loss_seg": 0.14797, "decode.acc_seg": 74.4631, "aux.loss_seg": 0.07781, "aux.acc_seg": 73.22654, "loss": 0.22578, "time": 0.8798} -{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 22752, "data_time": 0.00954, "decode.loss_seg": 0.15296, "decode.acc_seg": 76.05998, "aux.loss_seg": 0.0818, "aux.acc_seg": 74.62255, "loss": 0.23476, "time": 0.66919} -{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.1478, "decode.acc_seg": 75.72589, "aux.loss_seg": 0.07924, "aux.acc_seg": 74.45232, "loss": 0.22704, "time": 0.66713} -{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.14919, "decode.acc_seg": 75.36328, "aux.loss_seg": 0.07876, "aux.acc_seg": 74.07759, "loss": 0.22795, "time": 0.67978} -{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14276, "decode.acc_seg": 75.67195, "aux.loss_seg": 0.07718, "aux.acc_seg": 74.39106, "loss": 0.21994, "time": 0.68225} -{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.15122, "decode.acc_seg": 76.44994, "aux.loss_seg": 0.0813, "aux.acc_seg": 74.97769, "loss": 0.23251, "time": 0.68248} -{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 22752, "data_time": 0.00802, "decode.loss_seg": 0.14752, "decode.acc_seg": 75.72184, "aux.loss_seg": 0.07875, "aux.acc_seg": 74.34407, "loss": 0.22627, "time": 0.67501} -{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.14832, "decode.acc_seg": 75.50707, "aux.loss_seg": 0.079, "aux.acc_seg": 74.21222, "loss": 0.22731, "time": 0.67314} -{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14875, "decode.acc_seg": 76.60678, "aux.loss_seg": 0.08005, "aux.acc_seg": 75.26016, "loss": 0.2288, "time": 0.66118} -{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 22752, "data_time": 0.00825, "decode.loss_seg": 0.14643, "decode.acc_seg": 76.06526, "aux.loss_seg": 0.07965, "aux.acc_seg": 74.58132, "loss": 0.22609, "time": 0.66861} -{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.14878, "decode.acc_seg": 75.75345, "aux.loss_seg": 0.07964, "aux.acc_seg": 74.31453, "loss": 0.22842, "time": 0.66939} -{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.15309, "decode.acc_seg": 75.74458, "aux.loss_seg": 0.08187, "aux.acc_seg": 74.39242, "loss": 0.23495, "time": 0.67119} -{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 22752, "data_time": 0.01068, "decode.loss_seg": 0.15554, "decode.acc_seg": 75.83009, "aux.loss_seg": 0.08223, "aux.acc_seg": 74.47993, "loss": 0.23777, "time": 0.67514} -{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 22752, "data_time": 0.01134, "decode.loss_seg": 0.14434, "decode.acc_seg": 75.67818, "aux.loss_seg": 0.07822, "aux.acc_seg": 74.30617, "loss": 0.22256, "time": 0.65367} -{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.14919, "decode.acc_seg": 75.74786, "aux.loss_seg": 0.08002, "aux.acc_seg": 74.38466, "loss": 0.22921, "time": 0.66132} -{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.14458, "decode.acc_seg": 76.53204, "aux.loss_seg": 0.07835, "aux.acc_seg": 75.13363, "loss": 0.22294, "time": 0.65899} -{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.15495, "decode.acc_seg": 75.79867, "aux.loss_seg": 0.08119, "aux.acc_seg": 74.53521, "loss": 0.23614, "time": 0.63198} -{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.16162, "decode.acc_seg": 75.70325, "aux.loss_seg": 0.08515, "aux.acc_seg": 74.30768, "loss": 0.24677, "time": 0.66507} -{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.14892, "decode.acc_seg": 75.95032, "aux.loss_seg": 0.07902, "aux.acc_seg": 74.71081, "loss": 0.22795, "time": 0.64235} -{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 22752, "data_time": 0.01054, "decode.loss_seg": 0.15428, "decode.acc_seg": 75.82957, "aux.loss_seg": 0.08187, "aux.acc_seg": 74.47761, "loss": 0.23615, "time": 0.66936} -{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.14791, "decode.acc_seg": 75.36738, "aux.loss_seg": 0.07772, "aux.acc_seg": 74.11681, "loss": 0.22563, "time": 0.65096} -{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.15447, "decode.acc_seg": 74.99861, "aux.loss_seg": 0.0823, "aux.acc_seg": 73.56247, "loss": 0.23677, "time": 0.65601} -{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 22752, "data_time": 0.01066, "decode.loss_seg": 0.14915, "decode.acc_seg": 75.3826, "aux.loss_seg": 0.08041, "aux.acc_seg": 74.00334, "loss": 0.22956, "time": 0.66934} -{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 22752, "data_time": 0.0108, "decode.loss_seg": 0.1492, "decode.acc_seg": 75.42421, "aux.loss_seg": 0.07859, "aux.acc_seg": 74.17218, "loss": 0.22779, "time": 0.65827} -{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.15125, "decode.acc_seg": 75.7638, "aux.loss_seg": 0.08092, "aux.acc_seg": 74.45797, "loss": 0.23216, "time": 0.66987} -{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 22752, "data_time": 0.01109, "decode.loss_seg": 0.15225, "decode.acc_seg": 75.64093, "aux.loss_seg": 0.0815, "aux.acc_seg": 74.28715, "loss": 0.23375, "time": 0.65796} -{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 22752, "data_time": 0.23137, "decode.loss_seg": 0.14909, "decode.acc_seg": 75.53522, "aux.loss_seg": 0.07966, "aux.acc_seg": 74.14145, "loss": 0.22875, "time": 0.87279} -{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.14189, "decode.acc_seg": 75.65529, "aux.loss_seg": 0.07506, "aux.acc_seg": 74.41278, "loss": 0.21695, "time": 0.6673} -{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.15245, "decode.acc_seg": 75.60352, "aux.loss_seg": 0.0828, "aux.acc_seg": 74.07296, "loss": 0.23525, "time": 0.6789} -{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 22752, "data_time": 0.01107, "decode.loss_seg": 0.15092, "decode.acc_seg": 74.55139, "aux.loss_seg": 0.0802, "aux.acc_seg": 73.17883, "loss": 0.23112, "time": 0.66516} -{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 22752, "data_time": 0.01124, "decode.loss_seg": 0.15257, "decode.acc_seg": 74.21501, "aux.loss_seg": 0.08394, "aux.acc_seg": 72.65046, "loss": 0.2365, "time": 0.67613} -{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.1466, "decode.acc_seg": 74.62564, "aux.loss_seg": 0.07925, "aux.acc_seg": 73.25627, "loss": 0.22585, "time": 0.6607} -{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 22752, "data_time": 0.01058, "decode.loss_seg": 0.1526, "decode.acc_seg": 77.26215, "aux.loss_seg": 0.08169, "aux.acc_seg": 75.82259, "loss": 0.23429, "time": 0.67426} -{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 22752, "data_time": 0.01107, "decode.loss_seg": 0.15277, "decode.acc_seg": 74.70326, "aux.loss_seg": 0.08152, "aux.acc_seg": 73.38886, "loss": 0.23429, "time": 0.63546} -{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.14477, "decode.acc_seg": 75.87684, "aux.loss_seg": 0.07695, "aux.acc_seg": 74.56541, "loss": 0.22172, "time": 0.66198} -{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.15046, "decode.acc_seg": 76.67328, "aux.loss_seg": 0.08076, "aux.acc_seg": 75.32185, "loss": 0.23122, "time": 0.66604} -{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 22752, "data_time": 0.01088, "decode.loss_seg": 0.1568, "decode.acc_seg": 75.53698, "aux.loss_seg": 0.08049, "aux.acc_seg": 74.32714, "loss": 0.23729, "time": 0.6746} -{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 22752, "data_time": 0.01002, "decode.loss_seg": 0.15204, "decode.acc_seg": 74.49333, "aux.loss_seg": 0.08135, "aux.acc_seg": 73.11557, "loss": 0.23339, "time": 0.63686} -{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.1507, "decode.acc_seg": 75.43824, "aux.loss_seg": 0.08116, "aux.acc_seg": 74.00581, "loss": 0.23186, "time": 0.65549} -{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 22752, "data_time": 0.01096, "decode.loss_seg": 0.15177, "decode.acc_seg": 77.16505, "aux.loss_seg": 0.07913, "aux.acc_seg": 75.93089, "loss": 0.2309, "time": 0.67571} -{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.1498, "decode.acc_seg": 76.38349, "aux.loss_seg": 0.08065, "aux.acc_seg": 74.90651, "loss": 0.23045, "time": 0.67064} -{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 22752, "data_time": 0.01034, "decode.loss_seg": 0.14886, "decode.acc_seg": 76.90869, "aux.loss_seg": 0.07969, "aux.acc_seg": 75.59275, "loss": 0.22855, "time": 0.63515} -{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.1482, "decode.acc_seg": 75.13911, "aux.loss_seg": 0.07844, "aux.acc_seg": 73.84364, "loss": 0.22665, "time": 0.67102} -{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 22752, "data_time": 0.0105, "decode.loss_seg": 0.14775, "decode.acc_seg": 74.04697, "aux.loss_seg": 0.07897, "aux.acc_seg": 72.67372, "loss": 0.22671, "time": 0.67144} -{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 22752, "data_time": 0.01048, "decode.loss_seg": 0.14988, "decode.acc_seg": 76.51333, "aux.loss_seg": 0.08092, "aux.acc_seg": 75.08459, "loss": 0.2308, "time": 0.67515} -{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.15172, "decode.acc_seg": 76.23294, "aux.loss_seg": 0.08129, "aux.acc_seg": 74.79508, "loss": 0.23301, "time": 0.66036} -{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 22752, "data_time": 0.01096, "decode.loss_seg": 0.1533, "decode.acc_seg": 75.21531, "aux.loss_seg": 0.08054, "aux.acc_seg": 73.95254, "loss": 0.23385, "time": 0.66309} -{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 22752, "data_time": 0.0114, "decode.loss_seg": 0.15536, "decode.acc_seg": 75.52262, "aux.loss_seg": 0.08472, "aux.acc_seg": 74.0229, "loss": 0.24008, "time": 0.66608} -{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.14865, "decode.acc_seg": 74.92048, "aux.loss_seg": 0.07837, "aux.acc_seg": 73.72554, "loss": 0.22702, "time": 0.65147} -{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 22752, "data_time": 0.01104, "decode.loss_seg": 0.15567, "decode.acc_seg": 77.0541, "aux.loss_seg": 0.08304, "aux.acc_seg": 75.67317, "loss": 0.23871, "time": 0.6714} -{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 22752, "data_time": 0.01092, "decode.loss_seg": 0.14947, "decode.acc_seg": 76.11688, "aux.loss_seg": 0.07998, "aux.acc_seg": 74.76107, "loss": 0.22945, "time": 0.67903} -{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 22752, "data_time": 0.23341, "decode.loss_seg": 0.14028, "decode.acc_seg": 75.90162, "aux.loss_seg": 0.07595, "aux.acc_seg": 74.49725, "loss": 0.21623, "time": 0.88384} -{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.14671, "decode.acc_seg": 73.95639, "aux.loss_seg": 0.07924, "aux.acc_seg": 72.63656, "loss": 0.22595, "time": 0.65245} -{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.13713, "decode.acc_seg": 75.37306, "aux.loss_seg": 0.07355, "aux.acc_seg": 74.09884, "loss": 0.21068, "time": 0.64351} -{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.1487, "decode.acc_seg": 75.78719, "aux.loss_seg": 0.07902, "aux.acc_seg": 74.38516, "loss": 0.22772, "time": 0.67055} -{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14199, "decode.acc_seg": 75.27942, "aux.loss_seg": 0.07683, "aux.acc_seg": 73.87801, "loss": 0.21882, "time": 0.67292} -{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 22752, "data_time": 0.01059, "decode.loss_seg": 0.15895, "decode.acc_seg": 76.33954, "aux.loss_seg": 0.08315, "aux.acc_seg": 74.9953, "loss": 0.2421, "time": 0.67182} -{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.14572, "decode.acc_seg": 75.85629, "aux.loss_seg": 0.07778, "aux.acc_seg": 74.50572, "loss": 0.2235, "time": 0.67097} -{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 22752, "data_time": 0.00995, "decode.loss_seg": 0.15573, "decode.acc_seg": 75.76448, "aux.loss_seg": 0.08243, "aux.acc_seg": 74.46529, "loss": 0.23817, "time": 0.65543} -{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.15089, "decode.acc_seg": 76.93897, "aux.loss_seg": 0.07942, "aux.acc_seg": 75.68883, "loss": 0.23031, "time": 0.66508} -{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.15292, "decode.acc_seg": 74.55818, "aux.loss_seg": 0.08129, "aux.acc_seg": 73.17863, "loss": 0.23421, "time": 0.65749} -{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.14778, "decode.acc_seg": 75.8152, "aux.loss_seg": 0.07925, "aux.acc_seg": 74.43311, "loss": 0.22704, "time": 0.67453} -{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14442, "decode.acc_seg": 76.61199, "aux.loss_seg": 0.07784, "aux.acc_seg": 75.24844, "loss": 0.22226, "time": 0.67999} -{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.15045, "decode.acc_seg": 75.8988, "aux.loss_seg": 0.07923, "aux.acc_seg": 74.6289, "loss": 0.22968, "time": 0.66829} -{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.1464, "decode.acc_seg": 74.8338, "aux.loss_seg": 0.07725, "aux.acc_seg": 73.49924, "loss": 0.22365, "time": 0.66326} -{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.14758, "decode.acc_seg": 74.5787, "aux.loss_seg": 0.07951, "aux.acc_seg": 73.17441, "loss": 0.22709, "time": 0.66515} -{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.14863, "decode.acc_seg": 74.32546, "aux.loss_seg": 0.07897, "aux.acc_seg": 73.05665, "loss": 0.2276, "time": 0.65664} -{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 22752, "data_time": 0.00975, "decode.loss_seg": 0.14401, "decode.acc_seg": 74.59826, "aux.loss_seg": 0.077, "aux.acc_seg": 73.30808, "loss": 0.221, "time": 0.66196} -{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.14148, "decode.acc_seg": 75.20642, "aux.loss_seg": 0.07539, "aux.acc_seg": 73.95595, "loss": 0.21687, "time": 0.6694} -{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.15613, "decode.acc_seg": 76.3754, "aux.loss_seg": 0.08537, "aux.acc_seg": 74.89087, "loss": 0.2415, "time": 0.6518} -{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.15481, "decode.acc_seg": 76.34564, "aux.loss_seg": 0.08264, "aux.acc_seg": 74.94485, "loss": 0.23746, "time": 0.68216} -{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.15168, "decode.acc_seg": 75.13768, "aux.loss_seg": 0.08033, "aux.acc_seg": 73.8735, "loss": 0.23201, "time": 0.65988} -{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.1413, "decode.acc_seg": 76.33712, "aux.loss_seg": 0.07584, "aux.acc_seg": 75.00703, "loss": 0.21715, "time": 0.66556} -{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.15525, "decode.acc_seg": 75.87631, "aux.loss_seg": 0.08246, "aux.acc_seg": 74.59078, "loss": 0.23771, "time": 0.65513} -{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.15595, "decode.acc_seg": 76.69714, "aux.loss_seg": 0.08357, "aux.acc_seg": 75.39187, "loss": 0.23953, "time": 0.66838} -{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.14838, "decode.acc_seg": 76.06586, "aux.loss_seg": 0.08004, "aux.acc_seg": 74.60873, "loss": 0.22842, "time": 0.66492} -{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 22752, "data_time": 0.22988, "decode.loss_seg": 0.14753, "decode.acc_seg": 76.05775, "aux.loss_seg": 0.0786, "aux.acc_seg": 74.7356, "loss": 0.22613, "time": 0.88016} -{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14978, "decode.acc_seg": 74.04753, "aux.loss_seg": 0.07992, "aux.acc_seg": 72.66989, "loss": 0.2297, "time": 0.66215} -{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.13957, "decode.acc_seg": 75.20689, "aux.loss_seg": 0.07499, "aux.acc_seg": 73.88929, "loss": 0.21456, "time": 0.65718} -{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.14852, "decode.acc_seg": 75.61777, "aux.loss_seg": 0.07957, "aux.acc_seg": 74.29984, "loss": 0.22809, "time": 0.66467} -{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 22752, "data_time": 0.00932, "decode.loss_seg": 0.14764, "decode.acc_seg": 76.25297, "aux.loss_seg": 0.0777, "aux.acc_seg": 74.98074, "loss": 0.22534, "time": 0.6432} -{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.15659, "decode.acc_seg": 77.31498, "aux.loss_seg": 0.0837, "aux.acc_seg": 75.87354, "loss": 0.24029, "time": 0.67094} -{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.14795, "decode.acc_seg": 76.98501, "aux.loss_seg": 0.07926, "aux.acc_seg": 75.6592, "loss": 0.22722, "time": 0.66994} -{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 22752, "data_time": 0.00944, "decode.loss_seg": 0.15438, "decode.acc_seg": 76.48014, "aux.loss_seg": 0.08254, "aux.acc_seg": 75.10628, "loss": 0.23692, "time": 0.66342} -{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14377, "decode.acc_seg": 76.02863, "aux.loss_seg": 0.07609, "aux.acc_seg": 74.8555, "loss": 0.21986, "time": 0.67697} -{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 22752, "data_time": 0.00919, "decode.loss_seg": 0.14402, "decode.acc_seg": 75.3253, "aux.loss_seg": 0.07831, "aux.acc_seg": 73.90629, "loss": 0.22233, "time": 0.65513} -{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.15197, "decode.acc_seg": 75.28643, "aux.loss_seg": 0.08074, "aux.acc_seg": 73.89822, "loss": 0.23271, "time": 0.66208} -{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 22752, "data_time": 0.00869, "decode.loss_seg": 0.1531, "decode.acc_seg": 76.34549, "aux.loss_seg": 0.08205, "aux.acc_seg": 74.96263, "loss": 0.23515, "time": 0.6619} -{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.1494, "decode.acc_seg": 74.90602, "aux.loss_seg": 0.07931, "aux.acc_seg": 73.58261, "loss": 0.22872, "time": 0.6615} -{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.14801, "decode.acc_seg": 75.24238, "aux.loss_seg": 0.08043, "aux.acc_seg": 73.85122, "loss": 0.22844, "time": 0.66361} -{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.1486, "decode.acc_seg": 74.64963, "aux.loss_seg": 0.07725, "aux.acc_seg": 73.4416, "loss": 0.22585, "time": 0.67201} -{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.1428, "decode.acc_seg": 75.16541, "aux.loss_seg": 0.0767, "aux.acc_seg": 73.85624, "loss": 0.2195, "time": 0.67834} -{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.14854, "decode.acc_seg": 75.12781, "aux.loss_seg": 0.07931, "aux.acc_seg": 73.83582, "loss": 0.22785, "time": 0.68119} -{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.15128, "decode.acc_seg": 76.04761, "aux.loss_seg": 0.0801, "aux.acc_seg": 74.77041, "loss": 0.23138, "time": 0.68372} -{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 22752, "data_time": 0.00887, "decode.loss_seg": 0.13712, "decode.acc_seg": 75.63687, "aux.loss_seg": 0.07337, "aux.acc_seg": 74.33899, "loss": 0.21049, "time": 0.66401} -{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.15302, "decode.acc_seg": 76.31652, "aux.loss_seg": 0.08015, "aux.acc_seg": 75.01016, "loss": 0.23317, "time": 0.66494} -{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 22752, "data_time": 0.00819, "decode.loss_seg": 0.1513, "decode.acc_seg": 74.31529, "aux.loss_seg": 0.0804, "aux.acc_seg": 72.91221, "loss": 0.2317, "time": 0.66578} -{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.1444, "decode.acc_seg": 74.48204, "aux.loss_seg": 0.07836, "aux.acc_seg": 73.11657, "loss": 0.22276, "time": 0.66699} -{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.16074, "decode.acc_seg": 78.00161, "aux.loss_seg": 0.08564, "aux.acc_seg": 76.60134, "loss": 0.24638, "time": 0.65024} -{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.14063, "decode.acc_seg": 75.00509, "aux.loss_seg": 0.07706, "aux.acc_seg": 73.53386, "loss": 0.21769, "time": 0.64563} -{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.69651, "aux.loss_seg": 0.07802, "aux.acc_seg": 74.33221, "loss": 0.22174, "time": 0.66067} -{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 22752, "data_time": 0.23376, "decode.loss_seg": 0.14733, "decode.acc_seg": 75.4956, "aux.loss_seg": 0.07916, "aux.acc_seg": 74.12806, "loss": 0.22649, "time": 0.88698} -{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.1437, "decode.acc_seg": 76.63957, "aux.loss_seg": 0.07758, "aux.acc_seg": 75.24588, "loss": 0.22128, "time": 0.66841} -{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 22752, "data_time": 0.0083, "decode.loss_seg": 0.14308, "decode.acc_seg": 75.28992, "aux.loss_seg": 0.07744, "aux.acc_seg": 73.8779, "loss": 0.22052, "time": 0.66789} -{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 22752, "data_time": 0.00856, "decode.loss_seg": 0.14026, "decode.acc_seg": 74.6518, "aux.loss_seg": 0.07409, "aux.acc_seg": 73.42494, "loss": 0.21435, "time": 0.67366} -{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 22752, "data_time": 0.00879, "decode.loss_seg": 0.13825, "decode.acc_seg": 75.76138, "aux.loss_seg": 0.07459, "aux.acc_seg": 74.47901, "loss": 0.21284, "time": 0.67232} -{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14646, "decode.acc_seg": 76.14736, "aux.loss_seg": 0.07792, "aux.acc_seg": 74.85518, "loss": 0.22438, "time": 0.67484} -{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 22752, "data_time": 0.01006, "decode.loss_seg": 0.14159, "decode.acc_seg": 75.51905, "aux.loss_seg": 0.07653, "aux.acc_seg": 74.16715, "loss": 0.21813, "time": 0.65415} -{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 22752, "data_time": 0.01115, "decode.loss_seg": 0.1468, "decode.acc_seg": 74.39523, "aux.loss_seg": 0.07939, "aux.acc_seg": 73.06055, "loss": 0.22619, "time": 0.67044} -{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.15031, "decode.acc_seg": 75.17428, "aux.loss_seg": 0.07996, "aux.acc_seg": 73.7902, "loss": 0.23027, "time": 0.67194} -{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.1518, "decode.acc_seg": 76.72678, "aux.loss_seg": 0.08217, "aux.acc_seg": 75.31399, "loss": 0.23397, "time": 0.67792} -{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 22752, "data_time": 0.00993, "decode.loss_seg": 0.15013, "decode.acc_seg": 74.7571, "aux.loss_seg": 0.07885, "aux.acc_seg": 73.42367, "loss": 0.22898, "time": 0.66355} -{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14237, "decode.acc_seg": 76.26633, "aux.loss_seg": 0.07575, "aux.acc_seg": 74.95258, "loss": 0.21812, "time": 0.67343} -{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 22752, "data_time": 0.01005, "decode.loss_seg": 0.14198, "decode.acc_seg": 75.04599, "aux.loss_seg": 0.07591, "aux.acc_seg": 73.75588, "loss": 0.21789, "time": 0.67956} -{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.14441, "decode.acc_seg": 75.05575, "aux.loss_seg": 0.07816, "aux.acc_seg": 73.71661, "loss": 0.22257, "time": 0.66234} -{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.15481, "decode.acc_seg": 76.32072, "aux.loss_seg": 0.08093, "aux.acc_seg": 75.05405, "loss": 0.23574, "time": 0.67378} -{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 22752, "data_time": 0.00974, "decode.loss_seg": 0.14822, "decode.acc_seg": 75.83515, "aux.loss_seg": 0.07955, "aux.acc_seg": 74.54653, "loss": 0.22777, "time": 0.68165} -{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 22752, "data_time": 0.01026, "decode.loss_seg": 0.14739, "decode.acc_seg": 77.28078, "aux.loss_seg": 0.07859, "aux.acc_seg": 75.9562, "loss": 0.22598, "time": 0.66965} -{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 22752, "data_time": 0.00974, "decode.loss_seg": 0.14108, "decode.acc_seg": 75.3899, "aux.loss_seg": 0.07582, "aux.acc_seg": 74.10953, "loss": 0.2169, "time": 0.65846} -{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.14524, "decode.acc_seg": 74.35931, "aux.loss_seg": 0.07805, "aux.acc_seg": 73.03, "loss": 0.22329, "time": 0.68018} -{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.1397, "decode.acc_seg": 75.23901, "aux.loss_seg": 0.0748, "aux.acc_seg": 73.93343, "loss": 0.2145, "time": 0.68771} -{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 22752, "data_time": 0.00894, "decode.loss_seg": 0.14456, "decode.acc_seg": 76.60001, "aux.loss_seg": 0.07766, "aux.acc_seg": 75.34643, "loss": 0.22222, "time": 0.65136} -{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.14162, "decode.acc_seg": 77.19407, "aux.loss_seg": 0.07643, "aux.acc_seg": 75.81965, "loss": 0.21804, "time": 0.66056} -{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.1548, "decode.acc_seg": 77.36887, "aux.loss_seg": 0.08317, "aux.acc_seg": 75.93567, "loss": 0.23797, "time": 0.67581} -{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 22752, "data_time": 0.01051, "decode.loss_seg": 0.15128, "decode.acc_seg": 76.37337, "aux.loss_seg": 0.08031, "aux.acc_seg": 75.01971, "loss": 0.23159, "time": 0.67853} -{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.15196, "decode.acc_seg": 77.24457, "aux.loss_seg": 0.08118, "aux.acc_seg": 75.90759, "loss": 0.23314, "time": 0.65595} -{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 22752, "data_time": 0.00971, "decode.loss_seg": 0.14404, "decode.acc_seg": 76.20246, "aux.loss_seg": 0.0768, "aux.acc_seg": 74.91375, "loss": 0.22083, "time": 0.66824} -{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 22752, "data_time": 0.23503, "decode.loss_seg": 0.15022, "decode.acc_seg": 76.74692, "aux.loss_seg": 0.08089, "aux.acc_seg": 75.3069, "loss": 0.23111, "time": 0.88937} -{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.14758, "decode.acc_seg": 76.1515, "aux.loss_seg": 0.07877, "aux.acc_seg": 74.82662, "loss": 0.22635, "time": 0.67314} -{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 22752, "data_time": 0.00906, "decode.loss_seg": 0.14656, "decode.acc_seg": 75.77644, "aux.loss_seg": 0.07923, "aux.acc_seg": 74.34076, "loss": 0.2258, "time": 0.6573} -{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14857, "decode.acc_seg": 75.88356, "aux.loss_seg": 0.07959, "aux.acc_seg": 74.41127, "loss": 0.22816, "time": 0.67451} -{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 22752, "data_time": 0.00999, "decode.loss_seg": 0.1443, "decode.acc_seg": 75.41062, "aux.loss_seg": 0.07837, "aux.acc_seg": 74.03846, "loss": 0.22266, "time": 0.66969} -{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.14439, "decode.acc_seg": 76.66136, "aux.loss_seg": 0.07827, "aux.acc_seg": 75.30938, "loss": 0.22266, "time": 0.64805} -{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 22752, "data_time": 0.0089, "decode.loss_seg": 0.15241, "decode.acc_seg": 76.57447, "aux.loss_seg": 0.08033, "aux.acc_seg": 75.22369, "loss": 0.23275, "time": 0.65551} -{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 22752, "data_time": 0.01004, "decode.loss_seg": 0.14143, "decode.acc_seg": 75.36304, "aux.loss_seg": 0.07568, "aux.acc_seg": 74.03301, "loss": 0.21712, "time": 0.67197} -{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 22752, "data_time": 0.0095, "decode.loss_seg": 0.15365, "decode.acc_seg": 74.75308, "aux.loss_seg": 0.0811, "aux.acc_seg": 73.39174, "loss": 0.23475, "time": 0.64726} -{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.15461, "decode.acc_seg": 75.38628, "aux.loss_seg": 0.0832, "aux.acc_seg": 73.97944, "loss": 0.23782, "time": 0.63842} -{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.15736, "decode.acc_seg": 76.46832, "aux.loss_seg": 0.08452, "aux.acc_seg": 75.07559, "loss": 0.24188, "time": 0.65609} -{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 22752, "data_time": 0.00799, "decode.loss_seg": 0.14912, "decode.acc_seg": 76.33793, "aux.loss_seg": 0.07967, "aux.acc_seg": 74.97912, "loss": 0.22879, "time": 0.66871} -{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.14628, "decode.acc_seg": 75.95466, "aux.loss_seg": 0.07717, "aux.acc_seg": 74.67168, "loss": 0.22345, "time": 0.66976} -{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.14743, "decode.acc_seg": 76.39067, "aux.loss_seg": 0.07841, "aux.acc_seg": 75.01645, "loss": 0.22584, "time": 0.66499} -{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14987, "decode.acc_seg": 75.25117, "aux.loss_seg": 0.08006, "aux.acc_seg": 73.95072, "loss": 0.22993, "time": 0.66637} -{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.14691, "decode.acc_seg": 76.3709, "aux.loss_seg": 0.07775, "aux.acc_seg": 75.12778, "loss": 0.22466, "time": 0.65264} -{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.13825, "decode.acc_seg": 75.05461, "aux.loss_seg": 0.07447, "aux.acc_seg": 73.73145, "loss": 0.21272, "time": 0.66556} -{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14525, "decode.acc_seg": 75.58925, "aux.loss_seg": 0.07773, "aux.acc_seg": 74.26017, "loss": 0.22298, "time": 0.66212} -{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 22752, "data_time": 0.00912, "decode.loss_seg": 0.14348, "decode.acc_seg": 75.62957, "aux.loss_seg": 0.0769, "aux.acc_seg": 74.35583, "loss": 0.22039, "time": 0.66925} -{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 22752, "data_time": 0.00875, "decode.loss_seg": 0.15138, "decode.acc_seg": 75.27296, "aux.loss_seg": 0.07989, "aux.acc_seg": 73.98687, "loss": 0.23127, "time": 0.66825} -{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.13808, "decode.acc_seg": 75.7022, "aux.loss_seg": 0.07383, "aux.acc_seg": 74.48987, "loss": 0.2119, "time": 0.65597} -{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.1504, "decode.acc_seg": 75.5131, "aux.loss_seg": 0.07883, "aux.acc_seg": 74.33347, "loss": 0.22923, "time": 0.66479} -{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.14706, "decode.acc_seg": 76.03081, "aux.loss_seg": 0.07779, "aux.acc_seg": 74.70594, "loss": 0.22485, "time": 0.67612} -{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14413, "decode.acc_seg": 75.29315, "aux.loss_seg": 0.07722, "aux.acc_seg": 73.89647, "loss": 0.22136, "time": 0.64944} -{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 22752, "data_time": 0.00834, "decode.loss_seg": 0.14677, "decode.acc_seg": 75.54131, "aux.loss_seg": 0.07819, "aux.acc_seg": 74.19667, "loss": 0.22496, "time": 0.6485} -{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 22752, "data_time": 0.22754, "decode.loss_seg": 0.14497, "decode.acc_seg": 74.51385, "aux.loss_seg": 0.07731, "aux.acc_seg": 73.18542, "loss": 0.22228, "time": 0.88338} -{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.15176, "decode.acc_seg": 76.39512, "aux.loss_seg": 0.08, "aux.acc_seg": 75.09899, "loss": 0.23176, "time": 0.66015} -{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 22752, "data_time": 0.00893, "decode.loss_seg": 0.14101, "decode.acc_seg": 75.51132, "aux.loss_seg": 0.07701, "aux.acc_seg": 74.11621, "loss": 0.21802, "time": 0.65963} -{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14612, "decode.acc_seg": 76.82805, "aux.loss_seg": 0.07726, "aux.acc_seg": 75.58952, "loss": 0.22338, "time": 0.65333} -{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.14167, "decode.acc_seg": 75.70792, "aux.loss_seg": 0.07582, "aux.acc_seg": 74.40394, "loss": 0.21749, "time": 0.66313} -{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.1441, "decode.acc_seg": 77.44842, "aux.loss_seg": 0.07843, "aux.acc_seg": 76.04138, "loss": 0.22253, "time": 0.65005} -{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 22752, "data_time": 0.00846, "decode.loss_seg": 0.15373, "decode.acc_seg": 75.62492, "aux.loss_seg": 0.08154, "aux.acc_seg": 74.30116, "loss": 0.23528, "time": 0.66731} -{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.13919, "decode.acc_seg": 74.83743, "aux.loss_seg": 0.07512, "aux.acc_seg": 73.53662, "loss": 0.21431, "time": 0.66368} -{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14242, "decode.acc_seg": 74.87783, "aux.loss_seg": 0.07694, "aux.acc_seg": 73.48493, "loss": 0.21936, "time": 0.66111} -{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.15288, "decode.acc_seg": 75.37737, "aux.loss_seg": 0.08187, "aux.acc_seg": 73.98757, "loss": 0.23476, "time": 0.66408} -{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.14646, "decode.acc_seg": 75.3871, "aux.loss_seg": 0.07978, "aux.acc_seg": 74.04228, "loss": 0.22623, "time": 0.66242} -{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.14604, "decode.acc_seg": 76.44272, "aux.loss_seg": 0.07881, "aux.acc_seg": 75.08098, "loss": 0.22485, "time": 0.67901} -{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 22752, "data_time": 0.0096, "decode.loss_seg": 0.1421, "decode.acc_seg": 76.83839, "aux.loss_seg": 0.07614, "aux.acc_seg": 75.52148, "loss": 0.21823, "time": 0.68315} -{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.14633, "decode.acc_seg": 75.40814, "aux.loss_seg": 0.07943, "aux.acc_seg": 73.94734, "loss": 0.22576, "time": 0.66239} -{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 22752, "data_time": 0.00859, "decode.loss_seg": 0.1457, "decode.acc_seg": 75.88779, "aux.loss_seg": 0.07693, "aux.acc_seg": 74.62282, "loss": 0.22263, "time": 0.65496} -{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.15871, "decode.acc_seg": 75.99913, "aux.loss_seg": 0.08303, "aux.acc_seg": 74.63991, "loss": 0.24174, "time": 0.64619} -{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.14386, "decode.acc_seg": 74.82541, "aux.loss_seg": 0.0776, "aux.acc_seg": 73.43645, "loss": 0.22145, "time": 0.66593} -{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.15183, "decode.acc_seg": 76.07156, "aux.loss_seg": 0.0787, "aux.acc_seg": 74.99127, "loss": 0.23053, "time": 0.67301} -{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14872, "decode.acc_seg": 75.71161, "aux.loss_seg": 0.0784, "aux.acc_seg": 74.40394, "loss": 0.22712, "time": 0.6739} -{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.15326, "decode.acc_seg": 75.60338, "aux.loss_seg": 0.08292, "aux.acc_seg": 74.09038, "loss": 0.23618, "time": 0.6731} -{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 22752, "data_time": 0.0092, "decode.loss_seg": 0.14967, "decode.acc_seg": 75.90951, "aux.loss_seg": 0.08011, "aux.acc_seg": 74.55313, "loss": 0.22978, "time": 0.66766} -{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14458, "decode.acc_seg": 75.36054, "aux.loss_seg": 0.07664, "aux.acc_seg": 74.09311, "loss": 0.22122, "time": 0.67515} -{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 22752, "data_time": 0.00853, "decode.loss_seg": 0.14849, "decode.acc_seg": 75.41652, "aux.loss_seg": 0.08029, "aux.acc_seg": 73.99157, "loss": 0.22878, "time": 0.66088} -{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.14776, "decode.acc_seg": 76.47653, "aux.loss_seg": 0.07952, "aux.acc_seg": 75.06951, "loss": 0.22728, "time": 0.64659} -{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.14959, "decode.acc_seg": 74.84333, "aux.loss_seg": 0.07805, "aux.acc_seg": 73.54452, "loss": 0.22763, "time": 0.66165} -{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4826, "mAcc": 0.606, "aAcc": 0.8256, "IoU.wall": 0.7703, "IoU.building": 0.8135, "IoU.sky": 0.9372, "IoU.floor": 0.8181, "IoU.tree": 0.7309, "IoU.ceiling": 0.8369, "IoU.road": 0.8272, "IoU.bed ": 0.8606, "IoU.windowpane": 0.5984, "IoU.grass": 0.6991, "IoU.cabinet": 0.5895, "IoU.sidewalk": 0.6467, "IoU.person": 0.7808, "IoU.earth": 0.3864, "IoU.door": 0.479, "IoU.table": 0.5942, "IoU.mountain": 0.608, "IoU.plant": 0.484, "IoU.curtain": 0.6994, "IoU.chair": 0.5531, "IoU.car": 0.8214, "IoU.water": 0.5144, "IoU.painting": 0.7019, "IoU.sofa": 0.6117, "IoU.shelf": 0.436, "IoU.house": 0.3702, "IoU.sea": 0.5419, "IoU.mirror": 0.661, "IoU.rug": 0.6659, "IoU.field": 0.3016, "IoU.armchair": 0.4073, "IoU.seat": 0.6219, "IoU.fence": 0.4747, "IoU.desk": 0.49, "IoU.rock": 0.4826, "IoU.wardrobe": 0.5137, "IoU.lamp": 0.6061, "IoU.bathtub": 0.7466, "IoU.railing": 0.3345, "IoU.cushion": 0.5163, "IoU.base": 0.2772, "IoU.box": 0.2534, "IoU.column": 0.4634, "IoU.signboard": 0.3459, "IoU.chest of drawers": 0.3225, "IoU.counter": 0.269, "IoU.sand": 0.4615, "IoU.sink": 0.7001, "IoU.skyscraper": 0.5905, "IoU.fireplace": NaN, "IoU.refrigerator": 0.8002, "IoU.grandstand": 0.4245, "IoU.path": 0.2555, "IoU.stairs": 0.3034, "IoU.runway": 0.7129, "IoU.case": 0.3797, "IoU.pool table": 0.9082, "IoU.pillow": 0.5749, "IoU.screen door": 0.7122, "IoU.stairway": 0.3075, "IoU.river": 0.1087, "IoU.bridge": 0.6839, "IoU.bookcase": 0.3967, "IoU.blind": NaN, "IoU.coffee table": 0.5437, "IoU.toilet": 0.8377, "IoU.flower": 0.4092, "IoU.book": 0.4467, "IoU.hill": 0.1563, "IoU.bench": 0.4368, "IoU.countertop": 0.5007, "IoU.stove": 0.7116, "IoU.palm": 0.4831, "IoU.kitchen island": 0.3854, "IoU.computer": 0.6515, "IoU.swivel chair": 0.4288, "IoU.boat": 0.4169, "IoU.bar": 0.4361, "IoU.arcade machine": 0.5583, "IoU.hovel": 0.2066, "IoU.bus": 0.8903, "IoU.towel": 0.6815, "IoU.light": 0.5606, "IoU.truck": 0.3331, "IoU.tower": 0.21, "IoU.chandelier": 0.6565, "IoU.awning": 0.251, "IoU.streetlight": 0.21, "IoU.booth": 0.5702, "IoU.television receiver": NaN, "IoU.airplane": 0.584, "IoU.dirt track": 0.2599, "IoU.apparel": 0.3724, "IoU.pole": 0.159, "IoU.land": 0.0484, "IoU.bannister": 0.0981, "IoU.escalator": 0.2536, "IoU.ottoman": 0.3761, "IoU.bottle": NaN, "IoU.buffet": 0.5256, "IoU.poster": 0.3122, "IoU.stage": 0.1678, "IoU.van": 0.3566, "IoU.ship": 0.6108, "IoU.fountain": 0.2911, "IoU.conveyer belt": 0.801, "IoU.canopy": 0.1266, "IoU.washer": 0.7297, "IoU.plaything": 0.2277, "IoU.swimming pool": 0.622, "IoU.stool": 0.4044, "IoU.barrel": 0.7268, "IoU.basket": 0.3229, "IoU.waterfall": 0.6119, "IoU.tent": 0.9123, "IoU.bag": 0.1025, "IoU.minibike": 0.7469, "IoU.cradle": NaN, "IoU.oven": 0.3832, "IoU.ball": 0.4131, "IoU.food": 0.3432, "IoU.step": 0.0665, "IoU.tank": 0.5239, "IoU.trade name": 0.2955, "IoU.microwave": 0.7625, "IoU.pot": 0.5248, "IoU.animal": NaN, "IoU.bicycle": 0.5176, "IoU.lake": 0.539, "IoU.dishwasher": 0.5332, "IoU.screen": 0.6297, "IoU.blanket": 0.1351, "IoU.sculpture": 0.6647, "IoU.hood": 0.6, "IoU.sconce": 0.4857, "IoU.vase": 0.3771, "IoU.traffic light": 0.3112, "IoU.tray": 0.0961, "IoU.ashcan": 0.4036, "IoU.fan": 0.5896, "IoU.pier": 0.4278, "IoU.crt screen": 0.0408, "IoU.plate": 0.5189, "IoU.monitor": 0.0766, "IoU.bulletin board": 0.3632, "IoU.shower": 0.0331, "IoU.radiator": 0.5607, "IoU.glass": 0.1318, "IoU.clock": 0.3109, "IoU.flag": 0.3294, "Acc.wall": 0.8815, "Acc.building": 0.9211, "Acc.sky": 0.9721, "Acc.floor": 0.904, "Acc.tree": 0.8703, "Acc.ceiling": 0.9256, "Acc.road": 0.8873, "Acc.bed ": 0.9394, "Acc.windowpane": 0.7706, "Acc.grass": 0.8712, "Acc.cabinet": 0.711, "Acc.sidewalk": 0.8268, "Acc.person": 0.915, "Acc.earth": 0.4977, "Acc.door": 0.5984, "Acc.table": 0.7693, "Acc.mountain": 0.7287, "Acc.plant": 0.5852, "Acc.curtain": 0.8217, "Acc.chair": 0.7121, "Acc.car": 0.9016, "Acc.water": 0.6654, "Acc.painting": 0.8538, "Acc.sofa": 0.7801, "Acc.shelf": 0.6056, "Acc.house": 0.4862, "Acc.sea": 0.8035, "Acc.mirror": 0.7613, "Acc.rug": 0.7481, "Acc.field": 0.4278, "Acc.armchair": 0.6004, "Acc.seat": 0.7997, "Acc.fence": 0.6031, "Acc.desk": 0.6765, "Acc.rock": 0.7921, "Acc.wardrobe": 0.7, "Acc.lamp": 0.7381, "Acc.bathtub": 0.8252, "Acc.railing": 0.4755, "Acc.cushion": 0.6919, "Acc.base": 0.38, "Acc.box": 0.3183, "Acc.column": 0.5873, "Acc.signboard": 0.4948, "Acc.chest of drawers": 0.5501, "Acc.counter": 0.3342, "Acc.sand": 0.6047, "Acc.sink": 0.8024, "Acc.skyscraper": 0.7199, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8924, "Acc.grandstand": 0.7628, "Acc.path": 0.3837, "Acc.stairs": 0.409, "Acc.runway": 0.9523, "Acc.case": 0.4698, "Acc.pool table": 0.958, "Acc.pillow": 0.7055, "Acc.screen door": 0.8462, "Acc.stairway": 0.3861, "Acc.river": 0.1844, "Acc.bridge": 0.809, "Acc.bookcase": 0.4922, "Acc.blind": NaN, "Acc.coffee table": 0.7908, "Acc.toilet": 0.8927, "Acc.flower": 0.6355, "Acc.book": 0.6156, "Acc.hill": 0.2309, "Acc.bench": 0.5085, "Acc.countertop": 0.6664, "Acc.stove": 0.8347, "Acc.palm": 0.6976, "Acc.kitchen island": 0.7299, "Acc.computer": 0.7524, "Acc.swivel chair": 0.5766, "Acc.boat": 0.5348, "Acc.bar": 0.6111, "Acc.arcade machine": 0.6044, "Acc.hovel": 0.2202, "Acc.bus": 0.9577, "Acc.towel": 0.8275, "Acc.light": 0.6686, "Acc.truck": 0.461, "Acc.tower": 0.3987, "Acc.chandelier": 0.8254, "Acc.awning": 0.3047, "Acc.streetlight": 0.2707, "Acc.booth": 0.6999, "Acc.television receiver": NaN, "Acc.airplane": 0.6615, "Acc.dirt track": 0.429, "Acc.apparel": 0.4732, "Acc.pole": 0.2195, "Acc.land": 0.0655, "Acc.bannister": 0.1237, "Acc.escalator": 0.3227, "Acc.ottoman": 0.5268, "Acc.bottle": NaN, "Acc.buffet": 0.6345, "Acc.poster": 0.4144, "Acc.stage": 0.2191, "Acc.van": 0.5304, "Acc.ship": 0.9343, "Acc.fountain": 0.2971, "Acc.conveyer belt": 0.9184, "Acc.canopy": 0.1729, "Acc.washer": 0.7648, "Acc.plaything": 0.3858, "Acc.swimming pool": 0.8794, "Acc.stool": 0.5573, "Acc.barrel": 0.9722, "Acc.basket": 0.423, "Acc.waterfall": 0.8888, "Acc.tent": 0.9771, "Acc.bag": 0.1203, "Acc.minibike": 0.8808, "Acc.cradle": NaN, "Acc.oven": 0.5534, "Acc.ball": 0.4748, "Acc.food": 0.3942, "Acc.step": 0.0749, "Acc.tank": 0.6648, "Acc.trade name": 0.3456, "Acc.microwave": 0.8601, "Acc.pot": 0.5825, "Acc.animal": NaN, "Acc.bicycle": 0.7428, "Acc.lake": 0.6364, "Acc.dishwasher": 0.6428, "Acc.screen": 0.8207, "Acc.blanket": 0.1617, "Acc.sculpture": 0.7759, "Acc.hood": 0.6656, "Acc.sconce": 0.6136, "Acc.vase": 0.5206, "Acc.traffic light": 0.4419, "Acc.tray": 0.2401, "Acc.ashcan": 0.5207, "Acc.fan": 0.7163, "Acc.pier": 0.606, "Acc.crt screen": 0.146, "Acc.plate": 0.6847, "Acc.monitor": 0.0925, "Acc.bulletin board": 0.433, "Acc.shower": 0.0507, "Acc.radiator": 0.7407, "Acc.glass": 0.1431, "Acc.clock": 0.3598, "Acc.flag": 0.365} -{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 22752, "data_time": 1.62375, "decode.loss_seg": 0.15501, "decode.acc_seg": 76.42932, "aux.loss_seg": 0.0827, "aux.acc_seg": 75.02577, "loss": 0.23771, "time": 2.28572} -{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 22752, "data_time": 0.00935, "decode.loss_seg": 0.14696, "decode.acc_seg": 75.29061, "aux.loss_seg": 0.07808, "aux.acc_seg": 73.96632, "loss": 0.22504, "time": 0.66008} -{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.13766, "decode.acc_seg": 74.35905, "aux.loss_seg": 0.07348, "aux.acc_seg": 73.11402, "loss": 0.21114, "time": 0.64533} -{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.14876, "decode.acc_seg": 75.37554, "aux.loss_seg": 0.08082, "aux.acc_seg": 73.90561, "loss": 0.22958, "time": 0.66047} -{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 22752, "data_time": 0.00837, "decode.loss_seg": 0.14451, "decode.acc_seg": 76.98511, "aux.loss_seg": 0.07911, "aux.acc_seg": 75.55867, "loss": 0.22363, "time": 0.6567} -{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.14247, "decode.acc_seg": 76.32538, "aux.loss_seg": 0.07738, "aux.acc_seg": 74.96624, "loss": 0.21985, "time": 0.67839} -{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.13822, "decode.acc_seg": 74.62874, "aux.loss_seg": 0.07352, "aux.acc_seg": 73.34591, "loss": 0.21174, "time": 0.67317} -{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.14306, "decode.acc_seg": 76.16204, "aux.loss_seg": 0.0762, "aux.acc_seg": 74.87644, "loss": 0.21926, "time": 0.65981} -{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.77244, "aux.loss_seg": 0.07798, "aux.acc_seg": 74.34127, "loss": 0.2217, "time": 0.64026} -{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 22752, "data_time": 0.00928, "decode.loss_seg": 0.14057, "decode.acc_seg": 75.30177, "aux.loss_seg": 0.07601, "aux.acc_seg": 74.00848, "loss": 0.21657, "time": 0.63975} -{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14352, "decode.acc_seg": 75.35273, "aux.loss_seg": 0.07682, "aux.acc_seg": 74.04454, "loss": 0.22035, "time": 0.65375} -{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14548, "decode.acc_seg": 77.10011, "aux.loss_seg": 0.07869, "aux.acc_seg": 75.7713, "loss": 0.22416, "time": 0.66611} -{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 22752, "data_time": 0.00823, "decode.loss_seg": 0.15828, "decode.acc_seg": 76.23355, "aux.loss_seg": 0.08441, "aux.acc_seg": 74.86289, "loss": 0.24269, "time": 0.66709} -{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14458, "decode.acc_seg": 75.69086, "aux.loss_seg": 0.07732, "aux.acc_seg": 74.40826, "loss": 0.2219, "time": 0.63962} -{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.14676, "decode.acc_seg": 76.27697, "aux.loss_seg": 0.07856, "aux.acc_seg": 75.02656, "loss": 0.22531, "time": 0.65531} -{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14668, "decode.acc_seg": 75.33027, "aux.loss_seg": 0.07678, "aux.acc_seg": 74.06353, "loss": 0.22346, "time": 0.67447} -{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.14411, "decode.acc_seg": 76.00263, "aux.loss_seg": 0.07843, "aux.acc_seg": 74.60543, "loss": 0.22254, "time": 0.66301} -{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.14447, "decode.acc_seg": 75.80085, "aux.loss_seg": 0.07792, "aux.acc_seg": 74.43917, "loss": 0.22239, "time": 0.64627} -{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.1465, "decode.acc_seg": 76.79978, "aux.loss_seg": 0.07783, "aux.acc_seg": 75.54433, "loss": 0.22433, "time": 0.66999} -{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 22752, "data_time": 0.00956, "decode.loss_seg": 0.15011, "decode.acc_seg": 76.19258, "aux.loss_seg": 0.07888, "aux.acc_seg": 74.84907, "loss": 0.22899, "time": 0.67688} -{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.1437, "decode.acc_seg": 76.21116, "aux.loss_seg": 0.07717, "aux.acc_seg": 74.88341, "loss": 0.22087, "time": 0.64011} -{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 22752, "data_time": 0.00822, "decode.loss_seg": 0.15199, "decode.acc_seg": 75.47147, "aux.loss_seg": 0.08166, "aux.acc_seg": 74.12893, "loss": 0.23365, "time": 0.67539} -{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.14194, "decode.acc_seg": 76.47239, "aux.loss_seg": 0.07592, "aux.acc_seg": 75.19637, "loss": 0.21786, "time": 0.66746} -{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.14862, "decode.acc_seg": 77.21582, "aux.loss_seg": 0.07913, "aux.acc_seg": 75.84203, "loss": 0.22775, "time": 0.67558} -{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 22752, "data_time": 0.23627, "decode.loss_seg": 0.13633, "decode.acc_seg": 76.04144, "aux.loss_seg": 0.07287, "aux.acc_seg": 74.76034, "loss": 0.20919, "time": 0.88306} -{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 22752, "data_time": 0.00883, "decode.loss_seg": 0.14432, "decode.acc_seg": 75.90377, "aux.loss_seg": 0.07898, "aux.acc_seg": 74.45868, "loss": 0.2233, "time": 0.64963} -{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.1551, "decode.acc_seg": 76.64484, "aux.loss_seg": 0.08237, "aux.acc_seg": 75.24063, "loss": 0.23747, "time": 0.66768} -{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.14439, "decode.acc_seg": 75.48862, "aux.loss_seg": 0.07817, "aux.acc_seg": 74.0884, "loss": 0.22257, "time": 0.66977} -{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 22752, "data_time": 0.0085, "decode.loss_seg": 0.14111, "decode.acc_seg": 75.89944, "aux.loss_seg": 0.07749, "aux.acc_seg": 74.5477, "loss": 0.21859, "time": 0.66227} -{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 22752, "data_time": 0.00821, "decode.loss_seg": 0.14368, "decode.acc_seg": 75.73189, "aux.loss_seg": 0.07563, "aux.acc_seg": 74.47537, "loss": 0.21931, "time": 0.66363} -{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.15226, "decode.acc_seg": 77.3397, "aux.loss_seg": 0.08168, "aux.acc_seg": 75.93095, "loss": 0.23393, "time": 0.66187} -{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.14456, "decode.acc_seg": 75.06136, "aux.loss_seg": 0.07855, "aux.acc_seg": 73.62881, "loss": 0.22311, "time": 0.67019} -{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 22752, "data_time": 0.00926, "decode.loss_seg": 0.14061, "decode.acc_seg": 76.85255, "aux.loss_seg": 0.0758, "aux.acc_seg": 75.53506, "loss": 0.21641, "time": 0.65872} -{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 22752, "data_time": 0.00904, "decode.loss_seg": 0.15245, "decode.acc_seg": 76.42945, "aux.loss_seg": 0.08082, "aux.acc_seg": 75.11215, "loss": 0.23328, "time": 0.65954} -{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.15384, "decode.acc_seg": 75.15426, "aux.loss_seg": 0.08193, "aux.acc_seg": 73.73261, "loss": 0.23577, "time": 0.67365} -{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14833, "decode.acc_seg": 76.5742, "aux.loss_seg": 0.07869, "aux.acc_seg": 75.19274, "loss": 0.22703, "time": 0.65655} -{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.14967, "decode.acc_seg": 76.02417, "aux.loss_seg": 0.079, "aux.acc_seg": 74.74731, "loss": 0.22867, "time": 0.67175} -{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.15403, "decode.acc_seg": 77.22263, "aux.loss_seg": 0.07912, "aux.acc_seg": 75.90441, "loss": 0.23315, "time": 0.67635} -{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 22752, "data_time": 0.0088, "decode.loss_seg": 0.14495, "decode.acc_seg": 76.13923, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.73999, "loss": 0.22404, "time": 0.67588} -{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 22752, "data_time": 0.00942, "decode.loss_seg": 0.1465, "decode.acc_seg": 74.85203, "aux.loss_seg": 0.07757, "aux.acc_seg": 73.60256, "loss": 0.22407, "time": 0.64989} -{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.13597, "decode.acc_seg": 73.40575, "aux.loss_seg": 0.07314, "aux.acc_seg": 72.14083, "loss": 0.20911, "time": 0.64368} -{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 22752, "data_time": 0.00824, "decode.loss_seg": 0.15114, "decode.acc_seg": 75.49588, "aux.loss_seg": 0.08095, "aux.acc_seg": 74.07688, "loss": 0.23209, "time": 0.65132} -{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 22752, "data_time": 0.00911, "decode.loss_seg": 0.14567, "decode.acc_seg": 75.51384, "aux.loss_seg": 0.07835, "aux.acc_seg": 74.15248, "loss": 0.22402, "time": 0.63576} -{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 22752, "data_time": 0.01019, "decode.loss_seg": 0.15043, "decode.acc_seg": 76.56188, "aux.loss_seg": 0.08086, "aux.acc_seg": 75.16977, "loss": 0.2313, "time": 0.68016} -{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 22752, "data_time": 0.01027, "decode.loss_seg": 0.14665, "decode.acc_seg": 74.67467, "aux.loss_seg": 0.07834, "aux.acc_seg": 73.32652, "loss": 0.22499, "time": 0.66696} -{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 22752, "data_time": 0.01061, "decode.loss_seg": 0.15619, "decode.acc_seg": 76.12979, "aux.loss_seg": 0.08309, "aux.acc_seg": 74.71478, "loss": 0.23928, "time": 0.65686} -{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 22752, "data_time": 0.00934, "decode.loss_seg": 0.14362, "decode.acc_seg": 75.08333, "aux.loss_seg": 0.07767, "aux.acc_seg": 73.74903, "loss": 0.22129, "time": 0.68026} -{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.13523, "decode.acc_seg": 75.43684, "aux.loss_seg": 0.0733, "aux.acc_seg": 74.15919, "loss": 0.20853, "time": 0.64985} -{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.14327, "decode.acc_seg": 75.28264, "aux.loss_seg": 0.07639, "aux.acc_seg": 73.98648, "loss": 0.21967, "time": 0.67406} -{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.14051, "decode.acc_seg": 75.58834, "aux.loss_seg": 0.07583, "aux.acc_seg": 74.27121, "loss": 0.21634, "time": 0.65648} -{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 22752, "data_time": 0.23349, "decode.loss_seg": 0.14026, "decode.acc_seg": 75.33401, "aux.loss_seg": 0.07606, "aux.acc_seg": 73.90858, "loss": 0.21632, "time": 0.90023} -{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 22752, "data_time": 0.00884, "decode.loss_seg": 0.14235, "decode.acc_seg": 76.44662, "aux.loss_seg": 0.07698, "aux.acc_seg": 75.13235, "loss": 0.21933, "time": 0.67381} -{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.14884, "decode.acc_seg": 76.21808, "aux.loss_seg": 0.08001, "aux.acc_seg": 74.8234, "loss": 0.22885, "time": 0.65555} -{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 22752, "data_time": 0.00839, "decode.loss_seg": 0.14504, "decode.acc_seg": 75.62404, "aux.loss_seg": 0.07816, "aux.acc_seg": 74.24037, "loss": 0.2232, "time": 0.67307} -{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 22752, "data_time": 0.00886, "decode.loss_seg": 0.14923, "decode.acc_seg": 76.18553, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.80311, "loss": 0.22827, "time": 0.67141} -{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 22752, "data_time": 0.00827, "decode.loss_seg": 0.13852, "decode.acc_seg": 75.99578, "aux.loss_seg": 0.07436, "aux.acc_seg": 74.71769, "loss": 0.21288, "time": 0.67815} -{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 22752, "data_time": 0.00899, "decode.loss_seg": 0.14325, "decode.acc_seg": 75.31086, "aux.loss_seg": 0.07826, "aux.acc_seg": 73.84497, "loss": 0.22151, "time": 0.67053} -{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.12875, "decode.acc_seg": 75.22686, "aux.loss_seg": 0.06972, "aux.acc_seg": 73.94425, "loss": 0.19847, "time": 0.64352} -{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 22752, "data_time": 0.00843, "decode.loss_seg": 0.14211, "decode.acc_seg": 75.49074, "aux.loss_seg": 0.07731, "aux.acc_seg": 74.06169, "loss": 0.21942, "time": 0.67452} -{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.13812, "decode.acc_seg": 75.90236, "aux.loss_seg": 0.07519, "aux.acc_seg": 74.5037, "loss": 0.21331, "time": 0.66061} -{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.15119, "decode.acc_seg": 75.53717, "aux.loss_seg": 0.08094, "aux.acc_seg": 74.18141, "loss": 0.23213, "time": 0.6543} -{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14461, "decode.acc_seg": 75.96607, "aux.loss_seg": 0.0773, "aux.acc_seg": 74.66144, "loss": 0.22191, "time": 0.65633} -{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 22752, "data_time": 0.00803, "decode.loss_seg": 0.14061, "decode.acc_seg": 76.5056, "aux.loss_seg": 0.07585, "aux.acc_seg": 75.17367, "loss": 0.21646, "time": 0.67254} -{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.13934, "decode.acc_seg": 76.78618, "aux.loss_seg": 0.07551, "aux.acc_seg": 75.51166, "loss": 0.21485, "time": 0.67166} -{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.14068, "decode.acc_seg": 75.8894, "aux.loss_seg": 0.07576, "aux.acc_seg": 74.53416, "loss": 0.21644, "time": 0.66754} -{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 22752, "data_time": 0.00795, "decode.loss_seg": 0.14235, "decode.acc_seg": 75.64309, "aux.loss_seg": 0.07795, "aux.acc_seg": 74.23425, "loss": 0.2203, "time": 0.6454} -{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.15441, "decode.acc_seg": 77.21982, "aux.loss_seg": 0.08317, "aux.acc_seg": 75.70973, "loss": 0.23758, "time": 0.6826} -{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 22752, "data_time": 0.00842, "decode.loss_seg": 0.15314, "decode.acc_seg": 75.84727, "aux.loss_seg": 0.0815, "aux.acc_seg": 74.45728, "loss": 0.23464, "time": 0.64878} -{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 22752, "data_time": 0.00811, "decode.loss_seg": 0.13994, "decode.acc_seg": 75.62177, "aux.loss_seg": 0.07626, "aux.acc_seg": 74.199, "loss": 0.2162, "time": 0.66434} -{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.14334, "decode.acc_seg": 76.0902, "aux.loss_seg": 0.07677, "aux.acc_seg": 74.727, "loss": 0.22011, "time": 0.66123} -{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14452, "decode.acc_seg": 75.94605, "aux.loss_seg": 0.07707, "aux.acc_seg": 74.67917, "loss": 0.22159, "time": 0.67784} -{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.14028, "decode.acc_seg": 76.17846, "aux.loss_seg": 0.076, "aux.acc_seg": 74.8133, "loss": 0.21628, "time": 0.65598} -{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 22752, "data_time": 0.00903, "decode.loss_seg": 0.14762, "decode.acc_seg": 76.29152, "aux.loss_seg": 0.0789, "aux.acc_seg": 74.96216, "loss": 0.22652, "time": 0.67953} -{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 22752, "data_time": 0.0081, "decode.loss_seg": 0.14551, "decode.acc_seg": 76.97121, "aux.loss_seg": 0.07877, "aux.acc_seg": 75.62679, "loss": 0.22428, "time": 0.65155} -{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.14923, "decode.acc_seg": 75.02967, "aux.loss_seg": 0.08017, "aux.acc_seg": 73.69197, "loss": 0.2294, "time": 0.6415} -{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 22752, "data_time": 0.2339, "decode.loss_seg": 0.14568, "decode.acc_seg": 76.96785, "aux.loss_seg": 0.0786, "aux.acc_seg": 75.60379, "loss": 0.22428, "time": 0.89223} -{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.13455, "decode.acc_seg": 76.68494, "aux.loss_seg": 0.07233, "aux.acc_seg": 75.49556, "loss": 0.20687, "time": 0.66839} -{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 22752, "data_time": 0.00888, "decode.loss_seg": 0.13971, "decode.acc_seg": 77.14411, "aux.loss_seg": 0.07631, "aux.acc_seg": 75.79423, "loss": 0.21601, "time": 0.65829} -{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 22752, "data_time": 0.00836, "decode.loss_seg": 0.14954, "decode.acc_seg": 76.57703, "aux.loss_seg": 0.0808, "aux.acc_seg": 75.13195, "loss": 0.23034, "time": 0.64747} -{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14458, "decode.acc_seg": 76.02821, "aux.loss_seg": 0.07715, "aux.acc_seg": 74.76489, "loss": 0.22173, "time": 0.66829} -{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 22752, "data_time": 0.00829, "decode.loss_seg": 0.14153, "decode.acc_seg": 75.47389, "aux.loss_seg": 0.07827, "aux.acc_seg": 73.98105, "loss": 0.2198, "time": 0.66062} -{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 22752, "data_time": 0.00849, "decode.loss_seg": 0.14002, "decode.acc_seg": 75.23201, "aux.loss_seg": 0.07486, "aux.acc_seg": 73.94137, "loss": 0.21488, "time": 0.66919} -{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 22752, "data_time": 0.00913, "decode.loss_seg": 0.14365, "decode.acc_seg": 75.09539, "aux.loss_seg": 0.07635, "aux.acc_seg": 73.78211, "loss": 0.21999, "time": 0.66593} -{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 22752, "data_time": 0.00835, "decode.loss_seg": 0.14243, "decode.acc_seg": 76.07577, "aux.loss_seg": 0.07606, "aux.acc_seg": 74.78604, "loss": 0.21848, "time": 0.66872} -{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.14009, "decode.acc_seg": 76.6656, "aux.loss_seg": 0.07564, "aux.acc_seg": 75.26571, "loss": 0.21573, "time": 0.67559} -{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 22752, "data_time": 0.00969, "decode.loss_seg": 0.14299, "decode.acc_seg": 77.24304, "aux.loss_seg": 0.07718, "aux.acc_seg": 75.9431, "loss": 0.22017, "time": 0.66049} -{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.14092, "decode.acc_seg": 76.94225, "aux.loss_seg": 0.07606, "aux.acc_seg": 75.63935, "loss": 0.21698, "time": 0.65765} -{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.1528, "decode.acc_seg": 75.28659, "aux.loss_seg": 0.08234, "aux.acc_seg": 73.88921, "loss": 0.23514, "time": 0.66635} -{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.14834, "decode.acc_seg": 75.76005, "aux.loss_seg": 0.07955, "aux.acc_seg": 74.35599, "loss": 0.22789, "time": 0.64763} -{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.13561, "decode.acc_seg": 75.66195, "aux.loss_seg": 0.07316, "aux.acc_seg": 74.39039, "loss": 0.20877, "time": 0.64051} -{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.14327, "decode.acc_seg": 76.84664, "aux.loss_seg": 0.07722, "aux.acc_seg": 75.51333, "loss": 0.22049, "time": 0.65443} -{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.14682, "decode.acc_seg": 74.82773, "aux.loss_seg": 0.07819, "aux.acc_seg": 73.48064, "loss": 0.22501, "time": 0.65603} -{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.14702, "decode.acc_seg": 76.70386, "aux.loss_seg": 0.07847, "aux.acc_seg": 75.38914, "loss": 0.22549, "time": 0.65992} -{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14392, "decode.acc_seg": 74.39843, "aux.loss_seg": 0.07764, "aux.acc_seg": 72.99799, "loss": 0.22156, "time": 0.65506} -{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 22752, "data_time": 0.01072, "decode.loss_seg": 0.14103, "decode.acc_seg": 75.4729, "aux.loss_seg": 0.0764, "aux.acc_seg": 74.15056, "loss": 0.21743, "time": 0.68331} -{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.14985, "decode.acc_seg": 75.78541, "aux.loss_seg": 0.08088, "aux.acc_seg": 74.42282, "loss": 0.23073, "time": 0.65481} -{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.14877, "decode.acc_seg": 74.50608, "aux.loss_seg": 0.07978, "aux.acc_seg": 73.13292, "loss": 0.22855, "time": 0.67991} -{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 22752, "data_time": 0.00898, "decode.loss_seg": 0.14225, "decode.acc_seg": 75.27361, "aux.loss_seg": 0.0772, "aux.acc_seg": 73.94643, "loss": 0.21945, "time": 0.66566} -{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.14447, "decode.acc_seg": 76.55517, "aux.loss_seg": 0.07742, "aux.acc_seg": 75.26732, "loss": 0.22189, "time": 0.65667} -{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.13348, "decode.acc_seg": 74.40014, "aux.loss_seg": 0.07336, "aux.acc_seg": 73.00399, "loss": 0.20684, "time": 0.67758} -{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 22752, "data_time": 0.22887, "decode.loss_seg": 0.14072, "decode.acc_seg": 76.98564, "aux.loss_seg": 0.07498, "aux.acc_seg": 75.71249, "loss": 0.2157, "time": 0.87953} -{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14443, "decode.acc_seg": 73.63156, "aux.loss_seg": 0.07763, "aux.acc_seg": 72.28033, "loss": 0.22206, "time": 0.65258} -{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 22752, "data_time": 0.00902, "decode.loss_seg": 0.14496, "decode.acc_seg": 74.30081, "aux.loss_seg": 0.07739, "aux.acc_seg": 73.04803, "loss": 0.22235, "time": 0.66725} -{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 22752, "data_time": 0.00924, "decode.loss_seg": 0.14252, "decode.acc_seg": 74.23456, "aux.loss_seg": 0.07559, "aux.acc_seg": 72.96671, "loss": 0.21812, "time": 0.64256} -{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 22752, "data_time": 0.00817, "decode.loss_seg": 0.15077, "decode.acc_seg": 76.22484, "aux.loss_seg": 0.08264, "aux.acc_seg": 74.6899, "loss": 0.23341, "time": 0.66778} -{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 22752, "data_time": 0.00897, "decode.loss_seg": 0.14108, "decode.acc_seg": 75.78518, "aux.loss_seg": 0.07521, "aux.acc_seg": 74.47238, "loss": 0.21629, "time": 0.67475} -{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 22752, "data_time": 0.00915, "decode.loss_seg": 0.13763, "decode.acc_seg": 75.47903, "aux.loss_seg": 0.07437, "aux.acc_seg": 74.15944, "loss": 0.212, "time": 0.67884} -{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.13512, "decode.acc_seg": 76.33032, "aux.loss_seg": 0.0722, "aux.acc_seg": 75.09382, "loss": 0.20731, "time": 0.66991} -{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.14947, "decode.acc_seg": 77.19835, "aux.loss_seg": 0.08057, "aux.acc_seg": 75.77117, "loss": 0.23004, "time": 0.68265} -{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.1395, "decode.acc_seg": 76.56962, "aux.loss_seg": 0.07441, "aux.acc_seg": 75.26779, "loss": 0.2139, "time": 0.65601} -{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.13687, "decode.acc_seg": 76.11149, "aux.loss_seg": 0.07391, "aux.acc_seg": 74.85954, "loss": 0.21078, "time": 0.65579} -{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 22752, "data_time": 0.00989, "decode.loss_seg": 0.1466, "decode.acc_seg": 77.10408, "aux.loss_seg": 0.07939, "aux.acc_seg": 75.72281, "loss": 0.22599, "time": 0.66342} -{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 22752, "data_time": 0.00909, "decode.loss_seg": 0.13774, "decode.acc_seg": 75.83643, "aux.loss_seg": 0.07459, "aux.acc_seg": 74.55325, "loss": 0.21233, "time": 0.66106} -{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.1452, "decode.acc_seg": 77.22937, "aux.loss_seg": 0.0773, "aux.acc_seg": 75.97763, "loss": 0.2225, "time": 0.67152} -{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14964, "decode.acc_seg": 75.89084, "aux.loss_seg": 0.07906, "aux.acc_seg": 74.56176, "loss": 0.2287, "time": 0.6555} -{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.14045, "decode.acc_seg": 75.51039, "aux.loss_seg": 0.07642, "aux.acc_seg": 74.14482, "loss": 0.21687, "time": 0.66919} -{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 22752, "data_time": 0.01001, "decode.loss_seg": 0.14016, "decode.acc_seg": 76.28539, "aux.loss_seg": 0.07549, "aux.acc_seg": 74.96573, "loss": 0.21565, "time": 0.67307} -{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 22752, "data_time": 0.00979, "decode.loss_seg": 0.14082, "decode.acc_seg": 75.88155, "aux.loss_seg": 0.0757, "aux.acc_seg": 74.58961, "loss": 0.21652, "time": 0.67773} -{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.14418, "decode.acc_seg": 75.87766, "aux.loss_seg": 0.07745, "aux.acc_seg": 74.54111, "loss": 0.22163, "time": 0.66626} -{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 22752, "data_time": 0.00974, "decode.loss_seg": 0.14082, "decode.acc_seg": 75.6034, "aux.loss_seg": 0.07511, "aux.acc_seg": 74.35439, "loss": 0.21594, "time": 0.67682} -{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.14347, "decode.acc_seg": 76.91682, "aux.loss_seg": 0.07899, "aux.acc_seg": 75.45248, "loss": 0.22246, "time": 0.66876} -{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.14367, "decode.acc_seg": 76.38852, "aux.loss_seg": 0.07626, "aux.acc_seg": 75.10267, "loss": 0.21993, "time": 0.67692} -{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1508, "decode.acc_seg": 75.24858, "aux.loss_seg": 0.08, "aux.acc_seg": 73.90386, "loss": 0.23081, "time": 0.65863} -{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.14631, "decode.acc_seg": 76.71582, "aux.loss_seg": 0.07889, "aux.acc_seg": 75.29096, "loss": 0.2252, "time": 0.65803} -{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.14514, "decode.acc_seg": 76.19088, "aux.loss_seg": 0.07821, "aux.acc_seg": 74.84539, "loss": 0.22335, "time": 0.66663} -{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 22752, "data_time": 0.23413, "decode.loss_seg": 0.14664, "decode.acc_seg": 76.42361, "aux.loss_seg": 0.07833, "aux.acc_seg": 75.19539, "loss": 0.22496, "time": 0.886} -{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1376, "decode.acc_seg": 76.05349, "aux.loss_seg": 0.07502, "aux.acc_seg": 74.63494, "loss": 0.21262, "time": 0.64668} -{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.13851, "decode.acc_seg": 75.74811, "aux.loss_seg": 0.07509, "aux.acc_seg": 74.45951, "loss": 0.2136, "time": 0.66799} -{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.13924, "decode.acc_seg": 75.47664, "aux.loss_seg": 0.07501, "aux.acc_seg": 74.14726, "loss": 0.21424, "time": 0.65745} -{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.13392, "decode.acc_seg": 76.66419, "aux.loss_seg": 0.07375, "aux.acc_seg": 75.28437, "loss": 0.20768, "time": 0.657} -{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 22752, "data_time": 0.0097, "decode.loss_seg": 0.13575, "decode.acc_seg": 74.85869, "aux.loss_seg": 0.0728, "aux.acc_seg": 73.47814, "loss": 0.20855, "time": 0.67159} -{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 22752, "data_time": 0.00967, "decode.loss_seg": 0.14329, "decode.acc_seg": 77.21186, "aux.loss_seg": 0.07736, "aux.acc_seg": 75.89318, "loss": 0.22065, "time": 0.68415} -{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 22752, "data_time": 0.01031, "decode.loss_seg": 0.15354, "decode.acc_seg": 76.27246, "aux.loss_seg": 0.08032, "aux.acc_seg": 74.87313, "loss": 0.23386, "time": 0.67679} -{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 22752, "data_time": 0.01064, "decode.loss_seg": 0.15021, "decode.acc_seg": 76.49317, "aux.loss_seg": 0.08006, "aux.acc_seg": 75.12038, "loss": 0.23027, "time": 0.66657} -{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.14159, "decode.acc_seg": 76.42252, "aux.loss_seg": 0.07468, "aux.acc_seg": 75.2054, "loss": 0.21627, "time": 0.67848} -{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 22752, "data_time": 0.01008, "decode.loss_seg": 0.14763, "decode.acc_seg": 76.54039, "aux.loss_seg": 0.07988, "aux.acc_seg": 75.16944, "loss": 0.22751, "time": 0.67853} -{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 22752, "data_time": 0.00852, "decode.loss_seg": 0.14846, "decode.acc_seg": 75.51405, "aux.loss_seg": 0.07944, "aux.acc_seg": 74.15379, "loss": 0.2279, "time": 0.66467} -{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 22752, "data_time": 0.00891, "decode.loss_seg": 0.14079, "decode.acc_seg": 77.18995, "aux.loss_seg": 0.07663, "aux.acc_seg": 75.8217, "loss": 0.21741, "time": 0.66261} -{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 22752, "data_time": 0.00838, "decode.loss_seg": 0.14224, "decode.acc_seg": 75.82297, "aux.loss_seg": 0.07519, "aux.acc_seg": 74.61064, "loss": 0.21743, "time": 0.67831} -{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.14398, "decode.acc_seg": 76.63658, "aux.loss_seg": 0.07805, "aux.acc_seg": 75.26842, "loss": 0.22203, "time": 0.67436} -{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.14679, "decode.acc_seg": 77.08994, "aux.loss_seg": 0.07841, "aux.acc_seg": 75.76451, "loss": 0.2252, "time": 0.67283} -{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.1482, "decode.acc_seg": 75.73271, "aux.loss_seg": 0.07977, "aux.acc_seg": 74.33225, "loss": 0.22797, "time": 0.67766} -{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 22752, "data_time": 0.00801, "decode.loss_seg": 0.14724, "decode.acc_seg": 76.43912, "aux.loss_seg": 0.07918, "aux.acc_seg": 75.07307, "loss": 0.22643, "time": 0.66289} -{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 22752, "data_time": 0.00809, "decode.loss_seg": 0.14124, "decode.acc_seg": 76.60341, "aux.loss_seg": 0.07444, "aux.acc_seg": 75.3641, "loss": 0.21567, "time": 0.651} -{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.14657, "decode.acc_seg": 75.86477, "aux.loss_seg": 0.0801, "aux.acc_seg": 74.41651, "loss": 0.22667, "time": 0.66183} -{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 22752, "data_time": 0.00816, "decode.loss_seg": 0.15124, "decode.acc_seg": 77.17968, "aux.loss_seg": 0.08069, "aux.acc_seg": 75.82195, "loss": 0.23193, "time": 0.66349} -{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 22752, "data_time": 0.00885, "decode.loss_seg": 0.13802, "decode.acc_seg": 75.06521, "aux.loss_seg": 0.07484, "aux.acc_seg": 73.73812, "loss": 0.21286, "time": 0.6655} -{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 22752, "data_time": 0.00797, "decode.loss_seg": 0.13805, "decode.acc_seg": 75.14379, "aux.loss_seg": 0.07297, "aux.acc_seg": 73.89869, "loss": 0.21102, "time": 0.67716} -{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 22752, "data_time": 0.00881, "decode.loss_seg": 0.14268, "decode.acc_seg": 75.67866, "aux.loss_seg": 0.07808, "aux.acc_seg": 74.24302, "loss": 0.22076, "time": 0.67285} -{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 22752, "data_time": 0.00892, "decode.loss_seg": 0.14489, "decode.acc_seg": 75.83967, "aux.loss_seg": 0.07916, "aux.acc_seg": 74.42857, "loss": 0.22405, "time": 0.66212} -{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 22752, "data_time": 0.00889, "decode.loss_seg": 0.14112, "decode.acc_seg": 75.25326, "aux.loss_seg": 0.0766, "aux.acc_seg": 73.92622, "loss": 0.21771, "time": 0.65334} -{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 22752, "data_time": 0.22801, "decode.loss_seg": 0.14047, "decode.acc_seg": 75.96353, "aux.loss_seg": 0.07663, "aux.acc_seg": 74.64016, "loss": 0.2171, "time": 0.88375} -{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 22752, "data_time": 0.00963, "decode.loss_seg": 0.14441, "decode.acc_seg": 76.15908, "aux.loss_seg": 0.07797, "aux.acc_seg": 74.77403, "loss": 0.22238, "time": 0.66965} -{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 22752, "data_time": 0.01017, "decode.loss_seg": 0.14451, "decode.acc_seg": 74.95981, "aux.loss_seg": 0.07715, "aux.acc_seg": 73.69678, "loss": 0.22166, "time": 0.67671} -{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 22752, "data_time": 0.00997, "decode.loss_seg": 0.1451, "decode.acc_seg": 77.51419, "aux.loss_seg": 0.07997, "aux.acc_seg": 76.083, "loss": 0.22506, "time": 0.67647} -{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 22752, "data_time": 0.01015, "decode.loss_seg": 0.13963, "decode.acc_seg": 76.37561, "aux.loss_seg": 0.07501, "aux.acc_seg": 75.06454, "loss": 0.21464, "time": 0.68218} -{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 22752, "data_time": 0.01003, "decode.loss_seg": 0.14193, "decode.acc_seg": 74.95973, "aux.loss_seg": 0.07715, "aux.acc_seg": 73.56793, "loss": 0.21908, "time": 0.66993} -{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 22752, "data_time": 0.00959, "decode.loss_seg": 0.13907, "decode.acc_seg": 75.39785, "aux.loss_seg": 0.07457, "aux.acc_seg": 74.15379, "loss": 0.21363, "time": 0.67763} -{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 22752, "data_time": 0.01037, "decode.loss_seg": 0.13633, "decode.acc_seg": 75.41993, "aux.loss_seg": 0.0738, "aux.acc_seg": 74.09156, "loss": 0.21013, "time": 0.67942} -{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.13649, "decode.acc_seg": 77.84251, "aux.loss_seg": 0.07358, "aux.acc_seg": 76.54227, "loss": 0.21008, "time": 0.6777} -{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 22752, "data_time": 0.00949, "decode.loss_seg": 0.13572, "decode.acc_seg": 76.57043, "aux.loss_seg": 0.07366, "aux.acc_seg": 75.15393, "loss": 0.20939, "time": 0.67323} -{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 22752, "data_time": 0.01022, "decode.loss_seg": 0.13922, "decode.acc_seg": 75.62776, "aux.loss_seg": 0.07464, "aux.acc_seg": 74.32734, "loss": 0.21386, "time": 0.67506} -{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 22752, "data_time": 0.01025, "decode.loss_seg": 0.13327, "decode.acc_seg": 76.66266, "aux.loss_seg": 0.07339, "aux.acc_seg": 75.24395, "loss": 0.20666, "time": 0.67936} -{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.13798, "decode.acc_seg": 76.24067, "aux.loss_seg": 0.07417, "aux.acc_seg": 74.96014, "loss": 0.21215, "time": 0.65685} -{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14192, "decode.acc_seg": 77.12523, "aux.loss_seg": 0.07686, "aux.acc_seg": 75.70472, "loss": 0.21878, "time": 0.64458} -{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.15172, "decode.acc_seg": 76.1852, "aux.loss_seg": 0.08209, "aux.acc_seg": 74.79034, "loss": 0.23381, "time": 0.67038} -{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 22752, "data_time": 0.01035, "decode.loss_seg": 0.14576, "decode.acc_seg": 75.76131, "aux.loss_seg": 0.07905, "aux.acc_seg": 74.34363, "loss": 0.22481, "time": 0.66844} -{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 22752, "data_time": 0.01032, "decode.loss_seg": 0.13969, "decode.acc_seg": 76.28409, "aux.loss_seg": 0.07607, "aux.acc_seg": 74.92837, "loss": 0.21576, "time": 0.67813} -{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 22752, "data_time": 0.00996, "decode.loss_seg": 0.14632, "decode.acc_seg": 75.87482, "aux.loss_seg": 0.07823, "aux.acc_seg": 74.56265, "loss": 0.22455, "time": 0.6737} -{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.1424, "decode.acc_seg": 75.79506, "aux.loss_seg": 0.07754, "aux.acc_seg": 74.35631, "loss": 0.21994, "time": 0.6567} -{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 22752, "data_time": 0.01073, "decode.loss_seg": 0.14238, "decode.acc_seg": 75.35842, "aux.loss_seg": 0.07597, "aux.acc_seg": 74.05795, "loss": 0.21835, "time": 0.66807} -{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.31254, "aux.loss_seg": 0.07833, "aux.acc_seg": 73.98137, "loss": 0.22255, "time": 0.67947} -{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 22752, "data_time": 0.00977, "decode.loss_seg": 0.14513, "decode.acc_seg": 77.77203, "aux.loss_seg": 0.07883, "aux.acc_seg": 76.38604, "loss": 0.22396, "time": 0.66864} -{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 22752, "data_time": 0.00952, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.21323, "aux.loss_seg": 0.07829, "aux.acc_seg": 73.87153, "loss": 0.22201, "time": 0.64662} -{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.13502, "decode.acc_seg": 76.42416, "aux.loss_seg": 0.07222, "aux.acc_seg": 75.19134, "loss": 0.20724, "time": 0.66992} -{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 22752, "data_time": 0.00914, "decode.loss_seg": 0.13807, "decode.acc_seg": 75.80013, "aux.loss_seg": 0.07414, "aux.acc_seg": 74.50975, "loss": 0.21221, "time": 0.656} -{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 22752, "data_time": 0.2336, "decode.loss_seg": 0.14707, "decode.acc_seg": 76.1352, "aux.loss_seg": 0.07609, "aux.acc_seg": 75.00251, "loss": 0.22316, "time": 0.89316} -{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 22752, "data_time": 0.01043, "decode.loss_seg": 0.14015, "decode.acc_seg": 75.65521, "aux.loss_seg": 0.07612, "aux.acc_seg": 74.32035, "loss": 0.21627, "time": 0.67515} -{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 22752, "data_time": 0.0109, "decode.loss_seg": 0.13238, "decode.acc_seg": 76.87816, "aux.loss_seg": 0.07168, "aux.acc_seg": 75.5949, "loss": 0.20407, "time": 0.66035} -{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 22752, "data_time": 0.01103, "decode.loss_seg": 0.14549, "decode.acc_seg": 76.48278, "aux.loss_seg": 0.08004, "aux.acc_seg": 74.94994, "loss": 0.22553, "time": 0.67184} -{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 22752, "data_time": 0.01065, "decode.loss_seg": 0.13394, "decode.acc_seg": 75.54837, "aux.loss_seg": 0.07327, "aux.acc_seg": 74.14142, "loss": 0.2072, "time": 0.67312} -{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 22752, "data_time": 0.00939, "decode.loss_seg": 0.14123, "decode.acc_seg": 75.36572, "aux.loss_seg": 0.07697, "aux.acc_seg": 73.99451, "loss": 0.21819, "time": 0.66098} -{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.13532, "decode.acc_seg": 76.14456, "aux.loss_seg": 0.07364, "aux.acc_seg": 74.79388, "loss": 0.20896, "time": 0.664} -{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.13632, "decode.acc_seg": 76.64898, "aux.loss_seg": 0.07397, "aux.acc_seg": 75.39391, "loss": 0.21028, "time": 0.6639} -{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.13966, "decode.acc_seg": 75.59662, "aux.loss_seg": 0.07524, "aux.acc_seg": 74.24258, "loss": 0.2149, "time": 0.67523} -{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 22752, "data_time": 0.01068, "decode.loss_seg": 0.13618, "decode.acc_seg": 76.85548, "aux.loss_seg": 0.07326, "aux.acc_seg": 75.60609, "loss": 0.20943, "time": 0.67855} -{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.13809, "decode.acc_seg": 75.99022, "aux.loss_seg": 0.0745, "aux.acc_seg": 74.76524, "loss": 0.21259, "time": 0.66053} -{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 22752, "data_time": 0.0104, "decode.loss_seg": 0.14648, "decode.acc_seg": 74.88027, "aux.loss_seg": 0.07706, "aux.acc_seg": 73.60775, "loss": 0.22354, "time": 0.67121} -{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.14155, "decode.acc_seg": 75.59507, "aux.loss_seg": 0.07646, "aux.acc_seg": 74.23108, "loss": 0.21801, "time": 0.67073} -{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14336, "decode.acc_seg": 74.80012, "aux.loss_seg": 0.07722, "aux.acc_seg": 73.42697, "loss": 0.22059, "time": 0.65085} -{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 22752, "data_time": 0.00987, "decode.loss_seg": 0.13714, "decode.acc_seg": 75.35267, "aux.loss_seg": 0.07424, "aux.acc_seg": 74.03116, "loss": 0.21138, "time": 0.65506} -{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.14048, "decode.acc_seg": 76.48104, "aux.loss_seg": 0.07574, "aux.acc_seg": 75.18702, "loss": 0.21622, "time": 0.65614} -{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 22752, "data_time": 0.01063, "decode.loss_seg": 0.14532, "decode.acc_seg": 76.84273, "aux.loss_seg": 0.07838, "aux.acc_seg": 75.46476, "loss": 0.22371, "time": 0.66952} -{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 22752, "data_time": 0.00964, "decode.loss_seg": 0.13936, "decode.acc_seg": 75.84025, "aux.loss_seg": 0.07512, "aux.acc_seg": 74.52171, "loss": 0.21447, "time": 0.6516} -{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 22752, "data_time": 0.00981, "decode.loss_seg": 0.14469, "decode.acc_seg": 75.17451, "aux.loss_seg": 0.0779, "aux.acc_seg": 73.7931, "loss": 0.22258, "time": 0.67362} -{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.13879, "decode.acc_seg": 77.26343, "aux.loss_seg": 0.07534, "aux.acc_seg": 75.9625, "loss": 0.21412, "time": 0.67353} -{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.14879, "decode.acc_seg": 76.73806, "aux.loss_seg": 0.07954, "aux.acc_seg": 75.41097, "loss": 0.22834, "time": 0.67106} -{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 22752, "data_time": 0.00923, "decode.loss_seg": 0.14442, "decode.acc_seg": 76.90824, "aux.loss_seg": 0.07758, "aux.acc_seg": 75.63899, "loss": 0.22201, "time": 0.67049} -{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 22752, "data_time": 0.00941, "decode.loss_seg": 0.14352, "decode.acc_seg": 76.27964, "aux.loss_seg": 0.07774, "aux.acc_seg": 74.89557, "loss": 0.22126, "time": 0.6556} -{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 22752, "data_time": 0.00871, "decode.loss_seg": 0.14559, "decode.acc_seg": 76.53188, "aux.loss_seg": 0.07921, "aux.acc_seg": 75.12138, "loss": 0.22479, "time": 0.66271} -{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.14383, "decode.acc_seg": 76.11423, "aux.loss_seg": 0.07689, "aux.acc_seg": 74.82352, "loss": 0.22072, "time": 0.66781} -{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 22752, "data_time": 0.23082, "decode.loss_seg": 0.14668, "decode.acc_seg": 77.26316, "aux.loss_seg": 0.07866, "aux.acc_seg": 75.9008, "loss": 0.22534, "time": 0.87495} -{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 22752, "data_time": 0.00991, "decode.loss_seg": 0.13473, "decode.acc_seg": 76.57006, "aux.loss_seg": 0.07342, "aux.acc_seg": 75.23737, "loss": 0.20815, "time": 0.65742} -{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 22752, "data_time": 0.00986, "decode.loss_seg": 0.14326, "decode.acc_seg": 74.43058, "aux.loss_seg": 0.07612, "aux.acc_seg": 73.10567, "loss": 0.21937, "time": 0.6674} -{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.14304, "decode.acc_seg": 76.33649, "aux.loss_seg": 0.07764, "aux.acc_seg": 74.96245, "loss": 0.22069, "time": 0.67287} -{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.13984, "decode.acc_seg": 75.11077, "aux.loss_seg": 0.07591, "aux.acc_seg": 73.80967, "loss": 0.21575, "time": 0.66983} -{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 22752, "data_time": 0.00866, "decode.loss_seg": 0.14266, "decode.acc_seg": 75.05782, "aux.loss_seg": 0.07707, "aux.acc_seg": 73.71597, "loss": 0.21974, "time": 0.68295} -{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 22752, "data_time": 0.00953, "decode.loss_seg": 0.13847, "decode.acc_seg": 76.45091, "aux.loss_seg": 0.07545, "aux.acc_seg": 75.07597, "loss": 0.21392, "time": 0.67269} -{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 22752, "data_time": 0.00948, "decode.loss_seg": 0.13915, "decode.acc_seg": 76.35895, "aux.loss_seg": 0.0747, "aux.acc_seg": 75.06756, "loss": 0.21385, "time": 0.66704} -{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.13688, "decode.acc_seg": 76.15375, "aux.loss_seg": 0.07336, "aux.acc_seg": 74.85868, "loss": 0.21024, "time": 0.66357} -{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 22752, "data_time": 0.00933, "decode.loss_seg": 0.13925, "decode.acc_seg": 75.66804, "aux.loss_seg": 0.07569, "aux.acc_seg": 74.35592, "loss": 0.21494, "time": 0.66583} -{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 22752, "data_time": 0.0101, "decode.loss_seg": 0.14654, "decode.acc_seg": 75.94376, "aux.loss_seg": 0.07949, "aux.acc_seg": 74.58219, "loss": 0.22603, "time": 0.67495} -{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 22752, "data_time": 0.009, "decode.loss_seg": 0.14185, "decode.acc_seg": 76.31495, "aux.loss_seg": 0.07603, "aux.acc_seg": 74.9949, "loss": 0.21788, "time": 0.66852} -{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.1512, "decode.acc_seg": 74.92883, "aux.loss_seg": 0.08065, "aux.acc_seg": 73.51308, "loss": 0.23186, "time": 0.67169} -{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.13538, "decode.acc_seg": 76.7447, "aux.loss_seg": 0.07301, "aux.acc_seg": 75.4714, "loss": 0.20838, "time": 0.68051} -{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 22752, "data_time": 0.00994, "decode.loss_seg": 0.13828, "decode.acc_seg": 75.7733, "aux.loss_seg": 0.07414, "aux.acc_seg": 74.57037, "loss": 0.21242, "time": 0.66607} -{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 22752, "data_time": 0.00925, "decode.loss_seg": 0.145, "decode.acc_seg": 76.75039, "aux.loss_seg": 0.07747, "aux.acc_seg": 75.42058, "loss": 0.22246, "time": 0.67368} -{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 22752, "data_time": 0.00957, "decode.loss_seg": 0.13425, "decode.acc_seg": 76.73272, "aux.loss_seg": 0.07201, "aux.acc_seg": 75.47275, "loss": 0.20625, "time": 0.66977} -{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 22752, "data_time": 0.00855, "decode.loss_seg": 0.13896, "decode.acc_seg": 75.89534, "aux.loss_seg": 0.07601, "aux.acc_seg": 74.51997, "loss": 0.21497, "time": 0.66415} -{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.13745, "decode.acc_seg": 76.15719, "aux.loss_seg": 0.07484, "aux.acc_seg": 74.85413, "loss": 0.21229, "time": 0.65605} -{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 22752, "data_time": 0.01047, "decode.loss_seg": 0.14262, "decode.acc_seg": 76.97053, "aux.loss_seg": 0.07555, "aux.acc_seg": 75.74354, "loss": 0.21817, "time": 0.66664} -{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 22752, "data_time": 0.01062, "decode.loss_seg": 0.14128, "decode.acc_seg": 76.32972, "aux.loss_seg": 0.07663, "aux.acc_seg": 75.00831, "loss": 0.2179, "time": 0.65906} -{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 22752, "data_time": 0.01127, "decode.loss_seg": 0.13557, "decode.acc_seg": 76.4218, "aux.loss_seg": 0.07442, "aux.acc_seg": 75.02953, "loss": 0.21, "time": 0.67712} -{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 22752, "data_time": 0.01139, "decode.loss_seg": 0.13956, "decode.acc_seg": 75.91297, "aux.loss_seg": 0.07618, "aux.acc_seg": 74.53175, "loss": 0.21573, "time": 0.67294} -{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 22752, "data_time": 0.0117, "decode.loss_seg": 0.1451, "decode.acc_seg": 75.15473, "aux.loss_seg": 0.07834, "aux.acc_seg": 73.81513, "loss": 0.22344, "time": 0.67196} -{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 22752, "data_time": 0.01033, "decode.loss_seg": 0.1449, "decode.acc_seg": 77.19474, "aux.loss_seg": 0.07896, "aux.acc_seg": 75.79586, "loss": 0.22386, "time": 0.67737} -{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 22752, "data_time": 0.23142, "decode.loss_seg": 0.14155, "decode.acc_seg": 75.23122, "aux.loss_seg": 0.07742, "aux.acc_seg": 73.89089, "loss": 0.21897, "time": 0.89345} -{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 22752, "data_time": 0.01058, "decode.loss_seg": 0.14391, "decode.acc_seg": 76.55271, "aux.loss_seg": 0.07753, "aux.acc_seg": 75.18118, "loss": 0.22144, "time": 0.65923} -{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 22752, "data_time": 0.01121, "decode.loss_seg": 0.14124, "decode.acc_seg": 77.72519, "aux.loss_seg": 0.07525, "aux.acc_seg": 76.43765, "loss": 0.21649, "time": 0.67221} -{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.13708, "decode.acc_seg": 74.99373, "aux.loss_seg": 0.07419, "aux.acc_seg": 73.71297, "loss": 0.21126, "time": 0.65523} -{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 22752, "data_time": 0.00918, "decode.loss_seg": 0.14782, "decode.acc_seg": 76.73794, "aux.loss_seg": 0.07982, "aux.acc_seg": 75.2725, "loss": 0.22764, "time": 0.67308} -{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 22752, "data_time": 0.00922, "decode.loss_seg": 0.13206, "decode.acc_seg": 75.2883, "aux.loss_seg": 0.07162, "aux.acc_seg": 74.0396, "loss": 0.20368, "time": 0.65045} -{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.13652, "decode.acc_seg": 75.6409, "aux.loss_seg": 0.07473, "aux.acc_seg": 74.29113, "loss": 0.21124, "time": 0.68242} -{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 22752, "data_time": 0.01089, "decode.loss_seg": 0.14734, "decode.acc_seg": 74.88482, "aux.loss_seg": 0.07921, "aux.acc_seg": 73.50315, "loss": 0.22656, "time": 0.68959} -{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 22752, "data_time": 0.01052, "decode.loss_seg": 0.15263, "decode.acc_seg": 76.22226, "aux.loss_seg": 0.08076, "aux.acc_seg": 74.92907, "loss": 0.2334, "time": 0.67765} -{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.13899, "decode.acc_seg": 76.78795, "aux.loss_seg": 0.07444, "aux.acc_seg": 75.53857, "loss": 0.21343, "time": 0.67497} -{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 22752, "data_time": 0.01049, "decode.loss_seg": 0.13998, "decode.acc_seg": 74.94176, "aux.loss_seg": 0.07573, "aux.acc_seg": 73.48495, "loss": 0.21571, "time": 0.66084} -{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.14069, "decode.acc_seg": 75.60325, "aux.loss_seg": 0.07675, "aux.acc_seg": 74.1838, "loss": 0.21744, "time": 0.66866} -{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.14443, "decode.acc_seg": 74.65739, "aux.loss_seg": 0.07769, "aux.acc_seg": 73.28801, "loss": 0.22211, "time": 0.66933} -{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 22752, "data_time": 0.01046, "decode.loss_seg": 0.13917, "decode.acc_seg": 75.69016, "aux.loss_seg": 0.07599, "aux.acc_seg": 74.25415, "loss": 0.21517, "time": 0.66805} -{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 22752, "data_time": 0.00972, "decode.loss_seg": 0.13839, "decode.acc_seg": 75.25727, "aux.loss_seg": 0.07453, "aux.acc_seg": 74.00045, "loss": 0.21292, "time": 0.67791} -{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 22752, "data_time": 0.01023, "decode.loss_seg": 0.13802, "decode.acc_seg": 75.57505, "aux.loss_seg": 0.07314, "aux.acc_seg": 74.3212, "loss": 0.21116, "time": 0.6791} -{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.12949, "decode.acc_seg": 76.20101, "aux.loss_seg": 0.07029, "aux.acc_seg": 74.95636, "loss": 0.19978, "time": 0.66911} -{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.1437, "decode.acc_seg": 77.04637, "aux.loss_seg": 0.07647, "aux.acc_seg": 75.64541, "loss": 0.22017, "time": 0.67045} -{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14904, "decode.acc_seg": 75.81813, "aux.loss_seg": 0.08085, "aux.acc_seg": 74.37292, "loss": 0.2299, "time": 0.67192} -{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 22752, "data_time": 0.01042, "decode.loss_seg": 0.14264, "decode.acc_seg": 75.93014, "aux.loss_seg": 0.07726, "aux.acc_seg": 74.58056, "loss": 0.21991, "time": 0.66719} -{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 22752, "data_time": 0.00895, "decode.loss_seg": 0.13054, "decode.acc_seg": 75.95635, "aux.loss_seg": 0.07097, "aux.acc_seg": 74.65672, "loss": 0.20151, "time": 0.66359} -{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 22752, "data_time": 0.00867, "decode.loss_seg": 0.13354, "decode.acc_seg": 76.22669, "aux.loss_seg": 0.0733, "aux.acc_seg": 74.8723, "loss": 0.20684, "time": 0.65918} -{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 22752, "data_time": 0.00951, "decode.loss_seg": 0.14232, "decode.acc_seg": 75.54994, "aux.loss_seg": 0.07828, "aux.acc_seg": 74.13386, "loss": 0.2206, "time": 0.66038} -{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 22752, "data_time": 0.01091, "decode.loss_seg": 0.13786, "decode.acc_seg": 76.10879, "aux.loss_seg": 0.07395, "aux.acc_seg": 74.81125, "loss": 0.21181, "time": 0.6812} -{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 22752, "data_time": 0.00937, "decode.loss_seg": 0.14547, "decode.acc_seg": 75.39826, "aux.loss_seg": 0.07922, "aux.acc_seg": 73.95942, "loss": 0.22469, "time": 0.67547} -{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 22752, "data_time": 0.00845, "decode.loss_seg": 0.14271, "decode.acc_seg": 74.8043, "aux.loss_seg": 0.07796, "aux.acc_seg": 73.48953, "loss": 0.22067, "time": 0.6591} -{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 22752, "data_time": 0.22877, "decode.loss_seg": 0.15073, "decode.acc_seg": 76.89614, "aux.loss_seg": 0.08139, "aux.acc_seg": 75.47922, "loss": 0.23212, "time": 0.88927} -{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 22752, "data_time": 0.00841, "decode.loss_seg": 0.13964, "decode.acc_seg": 77.30929, "aux.loss_seg": 0.07576, "aux.acc_seg": 75.9516, "loss": 0.21541, "time": 0.64877} -{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 22752, "data_time": 0.00955, "decode.loss_seg": 0.14386, "decode.acc_seg": 75.127, "aux.loss_seg": 0.07739, "aux.acc_seg": 73.78576, "loss": 0.22126, "time": 0.66967} -{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.13798, "decode.acc_seg": 75.73684, "aux.loss_seg": 0.07445, "aux.acc_seg": 74.41701, "loss": 0.21243, "time": 0.6791} -{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 22752, "data_time": 0.00917, "decode.loss_seg": 0.13998, "decode.acc_seg": 74.09262, "aux.loss_seg": 0.07535, "aux.acc_seg": 72.7506, "loss": 0.21533, "time": 0.66238} -{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.14746, "decode.acc_seg": 75.24963, "aux.loss_seg": 0.07918, "aux.acc_seg": 73.89509, "loss": 0.22663, "time": 0.65132} -{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 22752, "data_time": 0.00983, "decode.loss_seg": 0.13838, "decode.acc_seg": 76.42528, "aux.loss_seg": 0.07402, "aux.acc_seg": 75.25687, "loss": 0.2124, "time": 0.67618} -{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 22752, "data_time": 0.01011, "decode.loss_seg": 0.14281, "decode.acc_seg": 74.68445, "aux.loss_seg": 0.07761, "aux.acc_seg": 73.35101, "loss": 0.22042, "time": 0.68171} -{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.14833, "decode.acc_seg": 76.24482, "aux.loss_seg": 0.07928, "aux.acc_seg": 74.87683, "loss": 0.22761, "time": 0.67345} -{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 22752, "data_time": 0.00966, "decode.loss_seg": 0.14458, "decode.acc_seg": 74.68849, "aux.loss_seg": 0.07754, "aux.acc_seg": 73.3526, "loss": 0.22211, "time": 0.66515} -{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 22752, "data_time": 0.00844, "decode.loss_seg": 0.14216, "decode.acc_seg": 75.52496, "aux.loss_seg": 0.07633, "aux.acc_seg": 74.1783, "loss": 0.21849, "time": 0.67607} -{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.13879, "decode.acc_seg": 75.75166, "aux.loss_seg": 0.07586, "aux.acc_seg": 74.41108, "loss": 0.21465, "time": 0.67544} -{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.13425, "decode.acc_seg": 75.57559, "aux.loss_seg": 0.07428, "aux.acc_seg": 74.17891, "loss": 0.20853, "time": 0.66837} -{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 22752, "data_time": 0.00947, "decode.loss_seg": 0.14583, "decode.acc_seg": 76.11078, "aux.loss_seg": 0.0781, "aux.acc_seg": 74.83077, "loss": 0.22393, "time": 0.66175} -{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.13991, "decode.acc_seg": 76.53295, "aux.loss_seg": 0.07528, "aux.acc_seg": 75.19338, "loss": 0.21519, "time": 0.67728} -{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.13894, "decode.acc_seg": 76.90038, "aux.loss_seg": 0.07665, "aux.acc_seg": 75.42079, "loss": 0.21559, "time": 0.65963} -{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 22752, "data_time": 0.00958, "decode.loss_seg": 0.13809, "decode.acc_seg": 75.53589, "aux.loss_seg": 0.07488, "aux.acc_seg": 74.24462, "loss": 0.21298, "time": 0.67765} -{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 22752, "data_time": 0.00978, "decode.loss_seg": 0.13647, "decode.acc_seg": 76.00875, "aux.loss_seg": 0.07446, "aux.acc_seg": 74.60983, "loss": 0.21093, "time": 0.65924} -{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 22752, "data_time": 0.00962, "decode.loss_seg": 0.13377, "decode.acc_seg": 75.33169, "aux.loss_seg": 0.07199, "aux.acc_seg": 74.10727, "loss": 0.20576, "time": 0.65826} -{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 22752, "data_time": 0.01083, "decode.loss_seg": 0.1443, "decode.acc_seg": 74.39779, "aux.loss_seg": 0.07678, "aux.acc_seg": 73.14003, "loss": 0.22108, "time": 0.65949} -{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 22752, "data_time": 0.01009, "decode.loss_seg": 0.1432, "decode.acc_seg": 75.27003, "aux.loss_seg": 0.07694, "aux.acc_seg": 73.91451, "loss": 0.22015, "time": 0.66311} -{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 22752, "data_time": 0.00938, "decode.loss_seg": 0.13594, "decode.acc_seg": 77.33523, "aux.loss_seg": 0.07428, "aux.acc_seg": 76.03959, "loss": 0.21023, "time": 0.67388} -{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 22752, "data_time": 0.00943, "decode.loss_seg": 0.14244, "decode.acc_seg": 75.06962, "aux.loss_seg": 0.07749, "aux.acc_seg": 73.69084, "loss": 0.21993, "time": 0.65545} -{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 22752, "data_time": 0.0094, "decode.loss_seg": 0.13613, "decode.acc_seg": 76.62949, "aux.loss_seg": 0.07279, "aux.acc_seg": 75.39052, "loss": 0.20892, "time": 0.66648} -{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 22752, "data_time": 0.01028, "decode.loss_seg": 0.14081, "decode.acc_seg": 73.89469, "aux.loss_seg": 0.07621, "aux.acc_seg": 72.50674, "loss": 0.21703, "time": 0.65325} -{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 22752, "data_time": 0.24813, "decode.loss_seg": 0.14418, "decode.acc_seg": 76.84673, "aux.loss_seg": 0.0781, "aux.acc_seg": 75.49008, "loss": 0.22228, "time": 0.89419} -{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 22752, "data_time": 0.01055, "decode.loss_seg": 0.14233, "decode.acc_seg": 75.55507, "aux.loss_seg": 0.07731, "aux.acc_seg": 74.17017, "loss": 0.21964, "time": 0.6757} -{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 22752, "data_time": 0.01016, "decode.loss_seg": 0.1403, "decode.acc_seg": 76.80538, "aux.loss_seg": 0.076, "aux.acc_seg": 75.46499, "loss": 0.2163, "time": 0.66102} -{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 22752, "data_time": 0.00982, "decode.loss_seg": 0.14005, "decode.acc_seg": 76.43148, "aux.loss_seg": 0.07585, "aux.acc_seg": 75.05862, "loss": 0.21591, "time": 0.67685} -{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 22752, "data_time": 0.01138, "decode.loss_seg": 0.13755, "decode.acc_seg": 76.56838, "aux.loss_seg": 0.07297, "aux.acc_seg": 75.36824, "loss": 0.21052, "time": 0.66295} -{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 22752, "data_time": 0.01081, "decode.loss_seg": 0.14174, "decode.acc_seg": 76.94665, "aux.loss_seg": 0.07553, "aux.acc_seg": 75.63563, "loss": 0.21727, "time": 0.64437} -{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 22752, "data_time": 0.011, "decode.loss_seg": 0.14749, "decode.acc_seg": 77.07527, "aux.loss_seg": 0.08009, "aux.acc_seg": 75.55828, "loss": 0.22758, "time": 0.66053} -{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 22752, "data_time": 0.0103, "decode.loss_seg": 0.13075, "decode.acc_seg": 74.55883, "aux.loss_seg": 0.07129, "aux.acc_seg": 73.34081, "loss": 0.20205, "time": 0.65894} -{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 22752, "data_time": 0.00965, "decode.loss_seg": 0.14143, "decode.acc_seg": 75.89921, "aux.loss_seg": 0.0763, "aux.acc_seg": 74.6116, "loss": 0.21773, "time": 0.64129} -{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 22752, "data_time": 0.00946, "decode.loss_seg": 0.1403, "decode.acc_seg": 75.5032, "aux.loss_seg": 0.07542, "aux.acc_seg": 74.23055, "loss": 0.21572, "time": 0.64499} -{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 22752, "data_time": 0.00901, "decode.loss_seg": 0.1389, "decode.acc_seg": 76.13055, "aux.loss_seg": 0.07492, "aux.acc_seg": 74.81329, "loss": 0.21382, "time": 0.65952} -{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 22752, "data_time": 0.0099, "decode.loss_seg": 0.13349, "decode.acc_seg": 76.46108, "aux.loss_seg": 0.07162, "aux.acc_seg": 75.21227, "loss": 0.2051, "time": 0.6737} -{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 22752, "data_time": 0.01013, "decode.loss_seg": 0.14939, "decode.acc_seg": 76.52696, "aux.loss_seg": 0.08008, "aux.acc_seg": 75.18787, "loss": 0.22948, "time": 0.66148} -{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 22752, "data_time": 0.01014, "decode.loss_seg": 0.13823, "decode.acc_seg": 74.78128, "aux.loss_seg": 0.07601, "aux.acc_seg": 73.33305, "loss": 0.21424, "time": 0.6545} -{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 22752, "data_time": 0.00927, "decode.loss_seg": 0.13657, "decode.acc_seg": 74.45088, "aux.loss_seg": 0.07247, "aux.acc_seg": 73.26826, "loss": 0.20904, "time": 0.63856} -{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.1387, "decode.acc_seg": 76.23291, "aux.loss_seg": 0.07545, "aux.acc_seg": 74.92553, "loss": 0.21414, "time": 0.64595} -{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.13637, "decode.acc_seg": 75.03886, "aux.loss_seg": 0.07374, "aux.acc_seg": 73.77503, "loss": 0.21011, "time": 0.66089} -{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 22752, "data_time": 0.00998, "decode.loss_seg": 0.13882, "decode.acc_seg": 76.60113, "aux.loss_seg": 0.07438, "aux.acc_seg": 75.32238, "loss": 0.2132, "time": 0.66895} -{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 22752, "data_time": 0.01084, "decode.loss_seg": 0.13695, "decode.acc_seg": 76.19693, "aux.loss_seg": 0.07602, "aux.acc_seg": 74.7596, "loss": 0.21297, "time": 0.65244} -{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 22752, "data_time": 0.00988, "decode.loss_seg": 0.14388, "decode.acc_seg": 74.85253, "aux.loss_seg": 0.07822, "aux.acc_seg": 73.46586, "loss": 0.2221, "time": 0.66531} -{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 22752, "data_time": 0.01012, "decode.loss_seg": 0.13924, "decode.acc_seg": 76.22372, "aux.loss_seg": 0.0752, "aux.acc_seg": 74.89756, "loss": 0.21444, "time": 0.67711} -{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 22752, "data_time": 0.01024, "decode.loss_seg": 0.13701, "decode.acc_seg": 76.63249, "aux.loss_seg": 0.07459, "aux.acc_seg": 75.19602, "loss": 0.21161, "time": 0.63851} -{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 22752, "data_time": 0.00929, "decode.loss_seg": 0.14526, "decode.acc_seg": 75.90708, "aux.loss_seg": 0.07726, "aux.acc_seg": 74.60828, "loss": 0.22252, "time": 0.6544} -{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 22752, "data_time": 0.00968, "decode.loss_seg": 0.14224, "decode.acc_seg": 76.29721, "aux.loss_seg": 0.07699, "aux.acc_seg": 75.00062, "loss": 0.21923, "time": 0.67045} -{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 22752, "data_time": 0.00905, "decode.loss_seg": 0.14221, "decode.acc_seg": 76.09806, "aux.loss_seg": 0.0773, "aux.acc_seg": 74.71409, "loss": 0.21951, "time": 0.66864} -{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 22752, "data_time": 0.23383, "decode.loss_seg": 0.13625, "decode.acc_seg": 75.75347, "aux.loss_seg": 0.07323, "aux.acc_seg": 74.47237, "loss": 0.20949, "time": 0.88351} -{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 22752, "data_time": 0.00976, "decode.loss_seg": 0.13934, "decode.acc_seg": 75.69779, "aux.loss_seg": 0.07568, "aux.acc_seg": 74.32399, "loss": 0.21502, "time": 0.65974} -{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 22752, "data_time": 0.00931, "decode.loss_seg": 0.13249, "decode.acc_seg": 75.94294, "aux.loss_seg": 0.07307, "aux.acc_seg": 74.53052, "loss": 0.20556, "time": 0.63933} -{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 22752, "data_time": 0.0098, "decode.loss_seg": 0.1359, "decode.acc_seg": 76.36926, "aux.loss_seg": 0.0739, "aux.acc_seg": 74.99635, "loss": 0.20979, "time": 0.66501} -{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 22752, "data_time": 0.01007, "decode.loss_seg": 0.13909, "decode.acc_seg": 76.85909, "aux.loss_seg": 0.07535, "aux.acc_seg": 75.53531, "loss": 0.21444, "time": 0.67023} -{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.14954, "decode.acc_seg": 76.01149, "aux.loss_seg": 0.08072, "aux.acc_seg": 74.52032, "loss": 0.23026, "time": 0.6696} -{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 22752, "data_time": 0.00984, "decode.loss_seg": 0.14593, "decode.acc_seg": 76.62422, "aux.loss_seg": 0.07875, "aux.acc_seg": 75.25674, "loss": 0.22468, "time": 0.67529} -{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 22752, "data_time": 0.00992, "decode.loss_seg": 0.13617, "decode.acc_seg": 75.89137, "aux.loss_seg": 0.07316, "aux.acc_seg": 74.63165, "loss": 0.20933, "time": 0.64995} -{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 22752, "data_time": 0.01, "decode.loss_seg": 0.14497, "decode.acc_seg": 76.35897, "aux.loss_seg": 0.07766, "aux.acc_seg": 74.95973, "loss": 0.22262, "time": 0.66529} -{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 22752, "data_time": 0.0091, "decode.loss_seg": 0.13665, "decode.acc_seg": 76.08748, "aux.loss_seg": 0.07356, "aux.acc_seg": 74.79252, "loss": 0.2102, "time": 0.65461} -{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 22752, "data_time": 0.00908, "decode.loss_seg": 0.14307, "decode.acc_seg": 76.10367, "aux.loss_seg": 0.07772, "aux.acc_seg": 74.65672, "loss": 0.2208, "time": 0.67143} -{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 22752, "data_time": 0.00961, "decode.loss_seg": 0.14258, "decode.acc_seg": 75.28628, "aux.loss_seg": 0.07576, "aux.acc_seg": 74.02159, "loss": 0.21834, "time": 0.65756} -{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 22752, "data_time": 0.00896, "decode.loss_seg": 0.1437, "decode.acc_seg": 76.28932, "aux.loss_seg": 0.07868, "aux.acc_seg": 74.8423, "loss": 0.22238, "time": 0.66878} -{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 22752, "data_time": 0.00921, "decode.loss_seg": 0.13353, "decode.acc_seg": 75.45181, "aux.loss_seg": 0.07242, "aux.acc_seg": 74.1448, "loss": 0.20594, "time": 0.67105} -{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 22752, "data_time": 0.00907, "decode.loss_seg": 0.13535, "decode.acc_seg": 76.0342, "aux.loss_seg": 0.07302, "aux.acc_seg": 74.76452, "loss": 0.20837, "time": 0.65301} -{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 22752, "data_time": 0.00916, "decode.loss_seg": 0.13842, "decode.acc_seg": 76.12459, "aux.loss_seg": 0.07561, "aux.acc_seg": 74.72811, "loss": 0.21403, "time": 0.65509} -{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 22752, "data_time": 0.0093, "decode.loss_seg": 0.13353, "decode.acc_seg": 75.4543, "aux.loss_seg": 0.07191, "aux.acc_seg": 74.21796, "loss": 0.20545, "time": 0.66634} -{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4859, "mAcc": 0.6052, "aAcc": 0.8273, "IoU.wall": 0.7711, "IoU.building": 0.8158, "IoU.sky": 0.9376, "IoU.floor": 0.8171, "IoU.tree": 0.7335, "IoU.ceiling": 0.8376, "IoU.road": 0.8313, "IoU.bed ": 0.8651, "IoU.windowpane": 0.602, "IoU.grass": 0.6942, "IoU.cabinet": 0.5926, "IoU.sidewalk": 0.6536, "IoU.person": 0.7813, "IoU.earth": 0.3894, "IoU.door": 0.4729, "IoU.table": 0.5948, "IoU.mountain": 0.6095, "IoU.plant": 0.4955, "IoU.curtain": 0.6984, "IoU.chair": 0.5653, "IoU.car": 0.8209, "IoU.water": 0.5258, "IoU.painting": 0.7212, "IoU.sofa": 0.6265, "IoU.shelf": 0.4408, "IoU.house": 0.4058, "IoU.sea": 0.548, "IoU.mirror": 0.6654, "IoU.rug": 0.6722, "IoU.field": 0.3045, "IoU.armchair": 0.4201, "IoU.seat": 0.6156, "IoU.fence": 0.4522, "IoU.desk": 0.5074, "IoU.rock": 0.4632, "IoU.wardrobe": 0.5063, "IoU.lamp": 0.6108, "IoU.bathtub": 0.7538, "IoU.railing": 0.3318, "IoU.cushion": 0.5257, "IoU.base": 0.2815, "IoU.box": 0.2475, "IoU.column": 0.4611, "IoU.signboard": 0.3503, "IoU.chest of drawers": 0.3352, "IoU.counter": 0.2446, "IoU.sand": 0.5153, "IoU.sink": 0.7114, "IoU.skyscraper": 0.5567, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7973, "IoU.grandstand": 0.4386, "IoU.path": 0.2576, "IoU.stairs": 0.3074, "IoU.runway": 0.7107, "IoU.case": 0.396, "IoU.pool table": 0.9058, "IoU.pillow": 0.5757, "IoU.screen door": 0.7012, "IoU.stairway": 0.309, "IoU.river": 0.114, "IoU.bridge": 0.6954, "IoU.bookcase": 0.4014, "IoU.blind": NaN, "IoU.coffee table": 0.5518, "IoU.toilet": 0.8385, "IoU.flower": 0.4258, "IoU.book": 0.4532, "IoU.hill": 0.1592, "IoU.bench": 0.4589, "IoU.countertop": 0.4817, "IoU.stove": 0.7159, "IoU.palm": 0.4969, "IoU.kitchen island": 0.3968, "IoU.computer": 0.6462, "IoU.swivel chair": 0.4558, "IoU.boat": 0.4271, "IoU.bar": 0.4194, "IoU.arcade machine": 0.6183, "IoU.hovel": 0.2312, "IoU.bus": 0.8591, "IoU.towel": 0.7035, "IoU.light": 0.5564, "IoU.truck": 0.2399, "IoU.tower": 0.2429, "IoU.chandelier": 0.6638, "IoU.awning": 0.2544, "IoU.streetlight": 0.2174, "IoU.booth": 0.5778, "IoU.television receiver": NaN, "IoU.airplane": 0.5812, "IoU.dirt track": 0.261, "IoU.apparel": 0.3799, "IoU.pole": 0.1601, "IoU.land": 0.0444, "IoU.bannister": 0.0901, "IoU.escalator": 0.2453, "IoU.ottoman": 0.3788, "IoU.bottle": NaN, "IoU.buffet": 0.4668, "IoU.poster": 0.2993, "IoU.stage": 0.1591, "IoU.van": 0.3782, "IoU.ship": 0.6127, "IoU.fountain": 0.3023, "IoU.conveyer belt": 0.7972, "IoU.canopy": 0.129, "IoU.washer": 0.7425, "IoU.plaything": 0.2279, "IoU.swimming pool": 0.7074, "IoU.stool": 0.4179, "IoU.barrel": 0.715, "IoU.basket": 0.3311, "IoU.waterfall": 0.596, "IoU.tent": 0.9158, "IoU.bag": 0.1101, "IoU.minibike": 0.7459, "IoU.cradle": NaN, "IoU.oven": 0.4588, "IoU.ball": 0.4304, "IoU.food": 0.3345, "IoU.step": 0.0746, "IoU.tank": 0.5487, "IoU.trade name": 0.294, "IoU.microwave": 0.7771, "IoU.pot": 0.523, "IoU.animal": NaN, "IoU.bicycle": 0.5209, "IoU.lake": 0.5609, "IoU.dishwasher": 0.5269, "IoU.screen": 0.5899, "IoU.blanket": 0.1296, "IoU.sculpture": 0.6845, "IoU.hood": 0.5829, "IoU.sconce": 0.4807, "IoU.vase": 0.3858, "IoU.traffic light": 0.3041, "IoU.tray": 0.0958, "IoU.ashcan": 0.3886, "IoU.fan": 0.5846, "IoU.pier": 0.3685, "IoU.crt screen": 0.0401, "IoU.plate": 0.5192, "IoU.monitor": 0.0845, "IoU.bulletin board": 0.3723, "IoU.shower": 0.0506, "IoU.radiator": 0.5989, "IoU.glass": 0.1403, "IoU.clock": 0.3125, "IoU.flag": 0.3258, "Acc.wall": 0.8834, "Acc.building": 0.9207, "Acc.sky": 0.9712, "Acc.floor": 0.9068, "Acc.tree": 0.873, "Acc.ceiling": 0.928, "Acc.road": 0.8905, "Acc.bed ": 0.9482, "Acc.windowpane": 0.7774, "Acc.grass": 0.8611, "Acc.cabinet": 0.7214, "Acc.sidewalk": 0.8285, "Acc.person": 0.9169, "Acc.earth": 0.5158, "Acc.door": 0.5923, "Acc.table": 0.7638, "Acc.mountain": 0.7339, "Acc.plant": 0.6071, "Acc.curtain": 0.8152, "Acc.chair": 0.7062, "Acc.car": 0.904, "Acc.water": 0.6839, "Acc.painting": 0.8658, "Acc.sofa": 0.8017, "Acc.shelf": 0.6117, "Acc.house": 0.5479, "Acc.sea": 0.7962, "Acc.mirror": 0.7509, "Acc.rug": 0.7558, "Acc.field": 0.43, "Acc.armchair": 0.6097, "Acc.seat": 0.806, "Acc.fence": 0.5809, "Acc.desk": 0.6936, "Acc.rock": 0.7553, "Acc.wardrobe": 0.6847, "Acc.lamp": 0.7419, "Acc.bathtub": 0.8254, "Acc.railing": 0.4464, "Acc.cushion": 0.678, "Acc.base": 0.3978, "Acc.box": 0.3048, "Acc.column": 0.5595, "Acc.signboard": 0.4885, "Acc.chest of drawers": 0.5516, "Acc.counter": 0.2883, "Acc.sand": 0.6853, "Acc.sink": 0.7952, "Acc.skyscraper": 0.6737, "Acc.fireplace": NaN, "Acc.refrigerator": 0.9017, "Acc.grandstand": 0.7404, "Acc.path": 0.3801, "Acc.stairs": 0.4075, "Acc.runway": 0.9508, "Acc.case": 0.4952, "Acc.pool table": 0.9577, "Acc.pillow": 0.688, "Acc.screen door": 0.8111, "Acc.stairway": 0.3741, "Acc.river": 0.1923, "Acc.bridge": 0.8045, "Acc.bookcase": 0.5008, "Acc.blind": NaN, "Acc.coffee table": 0.7949, "Acc.toilet": 0.8953, "Acc.flower": 0.6123, "Acc.book": 0.6309, "Acc.hill": 0.2297, "Acc.bench": 0.5333, "Acc.countertop": 0.6518, "Acc.stove": 0.8071, "Acc.palm": 0.7159, "Acc.kitchen island": 0.748, "Acc.computer": 0.7567, "Acc.swivel chair": 0.6458, "Acc.boat": 0.5187, "Acc.bar": 0.5764, "Acc.arcade machine": 0.6618, "Acc.hovel": 0.2412, "Acc.bus": 0.9568, "Acc.towel": 0.8268, "Acc.light": 0.6441, "Acc.truck": 0.3111, "Acc.tower": 0.3969, "Acc.chandelier": 0.817, "Acc.awning": 0.3173, "Acc.streetlight": 0.2827, "Acc.booth": 0.6885, "Acc.television receiver": NaN, "Acc.airplane": 0.6635, "Acc.dirt track": 0.4743, "Acc.apparel": 0.5048, "Acc.pole": 0.2244, "Acc.land": 0.0575, "Acc.bannister": 0.1135, "Acc.escalator": 0.304, "Acc.ottoman": 0.5215, "Acc.bottle": NaN, "Acc.buffet": 0.5406, "Acc.poster": 0.3908, "Acc.stage": 0.2149, "Acc.van": 0.5516, "Acc.ship": 0.9496, "Acc.fountain": 0.3072, "Acc.conveyer belt": 0.9201, "Acc.canopy": 0.1773, "Acc.washer": 0.7721, "Acc.plaything": 0.3595, "Acc.swimming pool": 0.8638, "Acc.stool": 0.5637, "Acc.barrel": 0.9194, "Acc.basket": 0.4371, "Acc.waterfall": 0.809, "Acc.tent": 0.9745, "Acc.bag": 0.1321, "Acc.minibike": 0.8888, "Acc.cradle": NaN, "Acc.oven": 0.6786, "Acc.ball": 0.4949, "Acc.food": 0.3943, "Acc.step": 0.0838, "Acc.tank": 0.6434, "Acc.trade name": 0.3456, "Acc.microwave": 0.8533, "Acc.pot": 0.5837, "Acc.animal": NaN, "Acc.bicycle": 0.7437, "Acc.lake": 0.6364, "Acc.dishwasher": 0.6639, "Acc.screen": 0.7417, "Acc.blanket": 0.1476, "Acc.sculpture": 0.7898, "Acc.hood": 0.6604, "Acc.sconce": 0.5982, "Acc.vase": 0.5313, "Acc.traffic light": 0.4491, "Acc.tray": 0.237, "Acc.ashcan": 0.5003, "Acc.fan": 0.712, "Acc.pier": 0.6362, "Acc.crt screen": 0.1479, "Acc.plate": 0.7015, "Acc.monitor": 0.0953, "Acc.bulletin board": 0.4613, "Acc.shower": 0.0563, "Acc.radiator": 0.71, "Acc.glass": 0.1529, "Acc.clock": 0.3591, "Acc.flag": 0.3638} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt deleted file mode 100644 index f50d110b3..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_pcpvt_s.txt +++ /dev/null @@ -1,3201 +0,0 @@ -{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.0\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+ff28ac2", "seed": null, "exp_name": "upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py"} -{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 16095, "data_time": 0.00813, "decode.loss_seg": 4.06618, "decode.acc_seg": 0.92059, "aux.loss_seg": 1.62889, "aux.acc_seg": 0.25095, "loss": 5.69507, "time": 0.52493} -{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 16095, "data_time": 0.00604, "decode.loss_seg": 3.921, "decode.acc_seg": 8.49652, "aux.loss_seg": 1.59991, "aux.acc_seg": 0.47231, "loss": 5.52091, "time": 0.4125} -{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 16095, "data_time": 0.00607, "decode.loss_seg": 3.77823, "decode.acc_seg": 24.36282, "aux.loss_seg": 1.6089, "aux.acc_seg": 1.73205, "loss": 5.38713, "time": 0.41166} -{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 16095, "data_time": 0.00649, "decode.loss_seg": 3.3927, "decode.acc_seg": 32.89187, "aux.loss_seg": 1.59025, "aux.acc_seg": 8.0342, "loss": 4.98295, "time": 0.41174} -{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 16095, "data_time": 0.00611, "decode.loss_seg": 2.98196, "decode.acc_seg": 36.87648, "aux.loss_seg": 1.53033, "aux.acc_seg": 22.11954, "loss": 4.51229, "time": 0.41044} -{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 16095, "data_time": 0.00633, "decode.loss_seg": 2.7797, "decode.acc_seg": 39.47768, "aux.loss_seg": 1.50205, "aux.acc_seg": 30.13238, "loss": 4.28175, "time": 0.40717} -{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 16095, "data_time": 0.00654, "decode.loss_seg": 2.59957, "decode.acc_seg": 41.22584, "aux.loss_seg": 1.44595, "aux.acc_seg": 33.32557, "loss": 4.04551, "time": 0.40703} -{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 16095, "data_time": 0.00618, "decode.loss_seg": 2.40718, "decode.acc_seg": 42.22839, "aux.loss_seg": 1.3698, "aux.acc_seg": 34.75567, "loss": 3.77698, "time": 0.40571} -{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 16095, "data_time": 0.00621, "decode.loss_seg": 2.26753, "decode.acc_seg": 43.08296, "aux.loss_seg": 1.31187, "aux.acc_seg": 34.6994, "loss": 3.5794, "time": 0.40818} -{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 16095, "data_time": 0.00626, "decode.loss_seg": 2.07959, "decode.acc_seg": 44.6101, "aux.loss_seg": 1.24438, "aux.acc_seg": 36.43405, "loss": 3.32396, "time": 0.40864} -{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 16095, "data_time": 0.00625, "decode.loss_seg": 1.98619, "decode.acc_seg": 46.43731, "aux.loss_seg": 1.20227, "aux.acc_seg": 37.75947, "loss": 3.18846, "time": 0.40659} -{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 16095, "data_time": 0.00622, "decode.loss_seg": 1.9076, "decode.acc_seg": 47.40293, "aux.loss_seg": 1.16382, "aux.acc_seg": 38.50066, "loss": 3.07143, "time": 0.4065} -{"mode": "train", "epoch": 2, "iter": 650, "lr": 3e-05, "memory": 16095, "data_time": 0.16031, "decode.loss_seg": 1.77346, "decode.acc_seg": 46.64926, "aux.loss_seg": 1.08805, "aux.acc_seg": 37.38876, "loss": 2.86151, "time": 0.5713} -{"mode": "train", "epoch": 2, "iter": 700, "lr": 3e-05, "memory": 16095, "data_time": 0.00791, "decode.loss_seg": 1.72987, "decode.acc_seg": 46.99065, "aux.loss_seg": 1.05719, "aux.acc_seg": 38.1711, "loss": 2.78706, "time": 0.40667} -{"mode": "train", "epoch": 2, "iter": 750, "lr": 3e-05, "memory": 16095, "data_time": 0.00847, "decode.loss_seg": 1.64045, "decode.acc_seg": 48.63047, "aux.loss_seg": 1.01027, "aux.acc_seg": 40.11463, "loss": 2.65072, "time": 0.41003} -{"mode": "train", "epoch": 2, "iter": 800, "lr": 3e-05, "memory": 16095, "data_time": 0.00783, "decode.loss_seg": 1.62623, "decode.acc_seg": 48.09872, "aux.loss_seg": 0.98384, "aux.acc_seg": 39.27582, "loss": 2.61007, "time": 0.4091} -{"mode": "train", "epoch": 2, "iter": 850, "lr": 3e-05, "memory": 16095, "data_time": 0.00885, "decode.loss_seg": 1.53824, "decode.acc_seg": 48.74422, "aux.loss_seg": 0.92732, "aux.acc_seg": 40.24309, "loss": 2.46556, "time": 0.40712} -{"mode": "train", "epoch": 2, "iter": 900, "lr": 4e-05, "memory": 16095, "data_time": 0.00853, "decode.loss_seg": 1.46153, "decode.acc_seg": 50.55474, "aux.loss_seg": 0.89082, "aux.acc_seg": 41.45121, "loss": 2.35235, "time": 0.40705} -{"mode": "train", "epoch": 2, "iter": 950, "lr": 4e-05, "memory": 16095, "data_time": 0.00777, "decode.loss_seg": 1.41681, "decode.acc_seg": 50.40599, "aux.loss_seg": 0.85252, "aux.acc_seg": 41.30853, "loss": 2.26932, "time": 0.4063} -{"mode": "train", "epoch": 2, "iter": 1000, "lr": 4e-05, "memory": 16095, "data_time": 0.00778, "decode.loss_seg": 1.40785, "decode.acc_seg": 51.29813, "aux.loss_seg": 0.83058, "aux.acc_seg": 42.64143, "loss": 2.23843, "time": 0.40635} -{"mode": "train", "epoch": 2, "iter": 1050, "lr": 4e-05, "memory": 16095, "data_time": 0.00806, "decode.loss_seg": 1.40262, "decode.acc_seg": 48.89064, "aux.loss_seg": 0.80698, "aux.acc_seg": 40.39263, "loss": 2.2096, "time": 0.40661} -{"mode": "train", "epoch": 2, "iter": 1100, "lr": 4e-05, "memory": 16095, "data_time": 0.00847, "decode.loss_seg": 1.30947, "decode.acc_seg": 51.42891, "aux.loss_seg": 0.7736, "aux.acc_seg": 42.19788, "loss": 2.08307, "time": 0.41078} -{"mode": "train", "epoch": 2, "iter": 1150, "lr": 5e-05, "memory": 16095, "data_time": 0.00869, "decode.loss_seg": 1.27901, "decode.acc_seg": 51.96172, "aux.loss_seg": 0.73923, "aux.acc_seg": 44.325, "loss": 2.01824, "time": 0.40937} -{"mode": "train", "epoch": 2, "iter": 1200, "lr": 5e-05, "memory": 16095, "data_time": 0.00892, "decode.loss_seg": 1.25285, "decode.acc_seg": 50.79229, "aux.loss_seg": 0.71927, "aux.acc_seg": 43.30305, "loss": 1.97211, "time": 0.40924} -{"mode": "train", "epoch": 2, "iter": 1250, "lr": 5e-05, "memory": 16095, "data_time": 0.0094, "decode.loss_seg": 1.28581, "decode.acc_seg": 51.40089, "aux.loss_seg": 0.72265, "aux.acc_seg": 43.80702, "loss": 2.00846, "time": 0.40841} -{"mode": "train", "epoch": 3, "iter": 1300, "lr": 5e-05, "memory": 16095, "data_time": 0.16662, "decode.loss_seg": 1.23384, "decode.acc_seg": 51.96598, "aux.loss_seg": 0.70252, "aux.acc_seg": 44.18349, "loss": 1.93635, "time": 0.568} -{"mode": "train", "epoch": 3, "iter": 1350, "lr": 5e-05, "memory": 16095, "data_time": 0.00963, "decode.loss_seg": 1.19102, "decode.acc_seg": 52.37811, "aux.loss_seg": 0.67973, "aux.acc_seg": 44.69699, "loss": 1.87075, "time": 0.40741} -{"mode": "train", "epoch": 3, "iter": 1400, "lr": 6e-05, "memory": 16095, "data_time": 0.00979, "decode.loss_seg": 1.21596, "decode.acc_seg": 52.41672, "aux.loss_seg": 0.68077, "aux.acc_seg": 45.58054, "loss": 1.89673, "time": 0.40799} -{"mode": "train", "epoch": 3, "iter": 1450, "lr": 6e-05, "memory": 16095, "data_time": 0.01004, "decode.loss_seg": 1.15095, "decode.acc_seg": 53.8749, "aux.loss_seg": 0.6546, "aux.acc_seg": 46.39026, "loss": 1.80556, "time": 0.40904} -{"mode": "train", "epoch": 3, "iter": 1500, "lr": 6e-05, "memory": 16095, "data_time": 0.00908, "decode.loss_seg": 1.10572, "decode.acc_seg": 53.84604, "aux.loss_seg": 0.63057, "aux.acc_seg": 46.74305, "loss": 1.7363, "time": 0.40965} -{"mode": "train", "epoch": 3, "iter": 1550, "lr": 6e-05, "memory": 16095, "data_time": 0.00936, "decode.loss_seg": 1.15286, "decode.acc_seg": 53.01088, "aux.loss_seg": 0.64441, "aux.acc_seg": 46.32043, "loss": 1.79727, "time": 0.40883} -{"mode": "train", "epoch": 3, "iter": 1600, "lr": 6e-05, "memory": 16095, "data_time": 0.00911, "decode.loss_seg": 1.1142, "decode.acc_seg": 53.59044, "aux.loss_seg": 0.62001, "aux.acc_seg": 47.17396, "loss": 1.73421, "time": 0.40869} -{"mode": "train", "epoch": 3, "iter": 1650, "lr": 6e-05, "memory": 16095, "data_time": 0.00898, "decode.loss_seg": 1.11572, "decode.acc_seg": 53.27206, "aux.loss_seg": 0.62523, "aux.acc_seg": 46.49303, "loss": 1.74095, "time": 0.40789} -{"mode": "train", "epoch": 3, "iter": 1700, "lr": 6e-05, "memory": 16095, "data_time": 0.00861, "decode.loss_seg": 1.08399, "decode.acc_seg": 54.122, "aux.loss_seg": 0.60959, "aux.acc_seg": 47.05979, "loss": 1.69358, "time": 0.40889} -{"mode": "train", "epoch": 3, "iter": 1750, "lr": 6e-05, "memory": 16095, "data_time": 0.00864, "decode.loss_seg": 1.11378, "decode.acc_seg": 54.19392, "aux.loss_seg": 0.62007, "aux.acc_seg": 47.2102, "loss": 1.73386, "time": 0.40883} -{"mode": "train", "epoch": 3, "iter": 1800, "lr": 6e-05, "memory": 16095, "data_time": 0.0091, "decode.loss_seg": 1.05622, "decode.acc_seg": 54.10339, "aux.loss_seg": 0.59344, "aux.acc_seg": 47.2692, "loss": 1.64966, "time": 0.40848} -{"mode": "train", "epoch": 3, "iter": 1850, "lr": 6e-05, "memory": 16095, "data_time": 0.00984, "decode.loss_seg": 1.084, "decode.acc_seg": 54.60916, "aux.loss_seg": 0.60622, "aux.acc_seg": 48.05395, "loss": 1.69022, "time": 0.40891} -{"mode": "train", "epoch": 4, "iter": 1900, "lr": 6e-05, "memory": 16095, "data_time": 0.18041, "decode.loss_seg": 1.01277, "decode.acc_seg": 53.67194, "aux.loss_seg": 0.575, "aux.acc_seg": 47.25746, "loss": 1.58777, "time": 0.58061} -{"mode": "train", "epoch": 4, "iter": 1950, "lr": 6e-05, "memory": 16095, "data_time": 0.00861, "decode.loss_seg": 1.0203, "decode.acc_seg": 56.22574, "aux.loss_seg": 0.58211, "aux.acc_seg": 49.28953, "loss": 1.60241, "time": 0.4076} -{"mode": "train", "epoch": 4, "iter": 2000, "lr": 6e-05, "memory": 16095, "data_time": 0.00918, "decode.loss_seg": 0.9737, "decode.acc_seg": 55.12409, "aux.loss_seg": 0.56021, "aux.acc_seg": 48.43718, "loss": 1.53391, "time": 0.40795} -{"mode": "train", "epoch": 4, "iter": 2050, "lr": 6e-05, "memory": 16095, "data_time": 0.00934, "decode.loss_seg": 0.98045, "decode.acc_seg": 56.1536, "aux.loss_seg": 0.56177, "aux.acc_seg": 49.55834, "loss": 1.54221, "time": 0.40749} -{"mode": "train", "epoch": 4, "iter": 2100, "lr": 6e-05, "memory": 16095, "data_time": 0.01009, "decode.loss_seg": 1.01047, "decode.acc_seg": 55.95911, "aux.loss_seg": 0.57354, "aux.acc_seg": 49.23834, "loss": 1.58401, "time": 0.40758} -{"mode": "train", "epoch": 4, "iter": 2150, "lr": 6e-05, "memory": 16095, "data_time": 0.00947, "decode.loss_seg": 0.95845, "decode.acc_seg": 56.9604, "aux.loss_seg": 0.5506, "aux.acc_seg": 50.59861, "loss": 1.50905, "time": 0.40772} -{"mode": "train", "epoch": 4, "iter": 2200, "lr": 6e-05, "memory": 16095, "data_time": 0.00947, "decode.loss_seg": 0.95214, "decode.acc_seg": 55.82227, "aux.loss_seg": 0.5503, "aux.acc_seg": 48.98398, "loss": 1.50244, "time": 0.4074} -{"mode": "train", "epoch": 4, "iter": 2250, "lr": 6e-05, "memory": 16095, "data_time": 0.00916, "decode.loss_seg": 0.93773, "decode.acc_seg": 55.70551, "aux.loss_seg": 0.54055, "aux.acc_seg": 48.95708, "loss": 1.47827, "time": 0.4068} -{"mode": "train", "epoch": 4, "iter": 2300, "lr": 6e-05, "memory": 16095, "data_time": 0.00893, "decode.loss_seg": 0.92541, "decode.acc_seg": 56.50013, "aux.loss_seg": 0.539, "aux.acc_seg": 49.97288, "loss": 1.46441, "time": 0.40678} -{"mode": "train", "epoch": 4, "iter": 2350, "lr": 6e-05, "memory": 16095, "data_time": 0.00875, "decode.loss_seg": 0.91652, "decode.acc_seg": 55.90308, "aux.loss_seg": 0.52915, "aux.acc_seg": 49.5318, "loss": 1.44567, "time": 0.40646} -{"mode": "train", "epoch": 4, "iter": 2400, "lr": 6e-05, "memory": 16095, "data_time": 0.00864, "decode.loss_seg": 0.90138, "decode.acc_seg": 55.31133, "aux.loss_seg": 0.51815, "aux.acc_seg": 48.92643, "loss": 1.41953, "time": 0.40669} -{"mode": "train", "epoch": 4, "iter": 2450, "lr": 6e-05, "memory": 16095, "data_time": 0.00897, "decode.loss_seg": 0.90829, "decode.acc_seg": 56.48011, "aux.loss_seg": 0.52452, "aux.acc_seg": 50.11251, "loss": 1.43281, "time": 0.40646} -{"mode": "train", "epoch": 4, "iter": 2500, "lr": 6e-05, "memory": 16095, "data_time": 0.00891, "decode.loss_seg": 0.89972, "decode.acc_seg": 56.45898, "aux.loss_seg": 0.52118, "aux.acc_seg": 50.00955, "loss": 1.4209, "time": 0.4069} -{"mode": "train", "epoch": 5, "iter": 2550, "lr": 6e-05, "memory": 16095, "data_time": 0.18443, "decode.loss_seg": 0.88934, "decode.acc_seg": 57.50641, "aux.loss_seg": 0.51906, "aux.acc_seg": 50.85602, "loss": 1.4084, "time": 0.58283} -{"mode": "train", "epoch": 5, "iter": 2600, "lr": 6e-05, "memory": 16095, "data_time": 0.0113, "decode.loss_seg": 0.85945, "decode.acc_seg": 57.84103, "aux.loss_seg": 0.50905, "aux.acc_seg": 50.90505, "loss": 1.3685, "time": 0.40818} -{"mode": "train", "epoch": 5, "iter": 2650, "lr": 6e-05, "memory": 16095, "data_time": 0.01136, "decode.loss_seg": 0.87323, "decode.acc_seg": 57.08345, "aux.loss_seg": 0.51087, "aux.acc_seg": 51.08682, "loss": 1.3841, "time": 0.40879} -{"mode": "train", "epoch": 5, "iter": 2700, "lr": 6e-05, "memory": 16095, "data_time": 0.01062, "decode.loss_seg": 0.87155, "decode.acc_seg": 56.96145, "aux.loss_seg": 0.50945, "aux.acc_seg": 50.65729, "loss": 1.381, "time": 0.40776} -{"mode": "train", "epoch": 5, "iter": 2750, "lr": 6e-05, "memory": 16095, "data_time": 0.01058, "decode.loss_seg": 0.86792, "decode.acc_seg": 58.01841, "aux.loss_seg": 0.51078, "aux.acc_seg": 51.28636, "loss": 1.3787, "time": 0.40772} -{"mode": "train", "epoch": 5, "iter": 2800, "lr": 6e-05, "memory": 16095, "data_time": 0.01076, "decode.loss_seg": 0.88597, "decode.acc_seg": 57.60696, "aux.loss_seg": 0.52051, "aux.acc_seg": 50.69523, "loss": 1.40648, "time": 0.40775} -{"mode": "train", "epoch": 5, "iter": 2850, "lr": 6e-05, "memory": 16095, "data_time": 0.01069, "decode.loss_seg": 0.8582, "decode.acc_seg": 58.72835, "aux.loss_seg": 0.49908, "aux.acc_seg": 52.18502, "loss": 1.35728, "time": 0.40812} -{"mode": "train", "epoch": 5, "iter": 2900, "lr": 6e-05, "memory": 16095, "data_time": 0.01036, "decode.loss_seg": 0.83814, "decode.acc_seg": 59.06877, "aux.loss_seg": 0.49732, "aux.acc_seg": 51.91219, "loss": 1.33546, "time": 0.40769} -{"mode": "train", "epoch": 5, "iter": 2950, "lr": 6e-05, "memory": 16095, "data_time": 0.01044, "decode.loss_seg": 0.86978, "decode.acc_seg": 57.70076, "aux.loss_seg": 0.51423, "aux.acc_seg": 50.54744, "loss": 1.38401, "time": 0.40808} -{"mode": "train", "epoch": 5, "iter": 3000, "lr": 6e-05, "memory": 16095, "data_time": 0.00996, "decode.loss_seg": 0.83297, "decode.acc_seg": 57.83396, "aux.loss_seg": 0.49274, "aux.acc_seg": 51.45067, "loss": 1.32571, "time": 0.40932} -{"mode": "train", "epoch": 5, "iter": 3050, "lr": 6e-05, "memory": 16095, "data_time": 0.00971, "decode.loss_seg": 0.8204, "decode.acc_seg": 57.31239, "aux.loss_seg": 0.48333, "aux.acc_seg": 50.96665, "loss": 1.30373, "time": 0.40921} -{"mode": "train", "epoch": 5, "iter": 3100, "lr": 6e-05, "memory": 16095, "data_time": 0.0094, "decode.loss_seg": 0.85991, "decode.acc_seg": 57.11508, "aux.loss_seg": 0.50633, "aux.acc_seg": 50.11774, "loss": 1.36624, "time": 0.40903} -{"mode": "train", "epoch": 5, "iter": 3150, "lr": 6e-05, "memory": 16095, "data_time": 0.00936, "decode.loss_seg": 0.82267, "decode.acc_seg": 57.86672, "aux.loss_seg": 0.47659, "aux.acc_seg": 51.45416, "loss": 1.29927, "time": 0.40783} -{"mode": "train", "epoch": 6, "iter": 3200, "lr": 6e-05, "memory": 16095, "data_time": 0.20336, "decode.loss_seg": 0.81874, "decode.acc_seg": 58.98502, "aux.loss_seg": 0.48512, "aux.acc_seg": 52.30952, "loss": 1.30386, "time": 0.60296} -{"mode": "train", "epoch": 6, "iter": 3250, "lr": 6e-05, "memory": 16095, "data_time": 0.00977, "decode.loss_seg": 0.78586, "decode.acc_seg": 58.37911, "aux.loss_seg": 0.47537, "aux.acc_seg": 51.45863, "loss": 1.26123, "time": 0.40892} -{"mode": "train", "epoch": 6, "iter": 3300, "lr": 6e-05, "memory": 16095, "data_time": 0.00969, "decode.loss_seg": 0.79014, "decode.acc_seg": 59.39414, "aux.loss_seg": 0.47459, "aux.acc_seg": 52.39743, "loss": 1.26473, "time": 0.40881} -{"mode": "train", "epoch": 6, "iter": 3350, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.80899, "decode.acc_seg": 58.4961, "aux.loss_seg": 0.47541, "aux.acc_seg": 52.21473, "loss": 1.28439, "time": 0.40939} -{"mode": "train", "epoch": 6, "iter": 3400, "lr": 6e-05, "memory": 16095, "data_time": 0.0101, "decode.loss_seg": 0.79249, "decode.acc_seg": 58.52652, "aux.loss_seg": 0.46578, "aux.acc_seg": 52.32346, "loss": 1.25827, "time": 0.40956} -{"mode": "train", "epoch": 6, "iter": 3450, "lr": 6e-05, "memory": 16095, "data_time": 0.00992, "decode.loss_seg": 0.81704, "decode.acc_seg": 59.07082, "aux.loss_seg": 0.47946, "aux.acc_seg": 52.55945, "loss": 1.2965, "time": 0.40932} -{"mode": "train", "epoch": 6, "iter": 3500, "lr": 6e-05, "memory": 16095, "data_time": 0.00997, "decode.loss_seg": 0.77761, "decode.acc_seg": 58.61613, "aux.loss_seg": 0.46021, "aux.acc_seg": 52.28306, "loss": 1.23782, "time": 0.40809} -{"mode": "train", "epoch": 6, "iter": 3550, "lr": 6e-05, "memory": 16095, "data_time": 0.00975, "decode.loss_seg": 0.8353, "decode.acc_seg": 57.80481, "aux.loss_seg": 0.48061, "aux.acc_seg": 51.34809, "loss": 1.3159, "time": 0.40768} -{"mode": "train", "epoch": 6, "iter": 3600, "lr": 6e-05, "memory": 16095, "data_time": 0.00989, "decode.loss_seg": 0.81051, "decode.acc_seg": 58.0483, "aux.loss_seg": 0.47893, "aux.acc_seg": 51.45889, "loss": 1.28944, "time": 0.40732} -{"mode": "train", "epoch": 6, "iter": 3650, "lr": 6e-05, "memory": 16095, "data_time": 0.00946, "decode.loss_seg": 0.79315, "decode.acc_seg": 58.62801, "aux.loss_seg": 0.46809, "aux.acc_seg": 51.58282, "loss": 1.26124, "time": 0.40788} -{"mode": "train", "epoch": 6, "iter": 3700, "lr": 6e-05, "memory": 16095, "data_time": 0.00985, "decode.loss_seg": 0.75616, "decode.acc_seg": 59.03868, "aux.loss_seg": 0.44409, "aux.acc_seg": 52.80451, "loss": 1.20025, "time": 0.40779} -{"mode": "train", "epoch": 6, "iter": 3750, "lr": 6e-05, "memory": 16095, "data_time": 0.00983, "decode.loss_seg": 0.74845, "decode.acc_seg": 60.27162, "aux.loss_seg": 0.44446, "aux.acc_seg": 53.85303, "loss": 1.19291, "time": 0.40821} -{"mode": "train", "epoch": 7, "iter": 3800, "lr": 6e-05, "memory": 16095, "data_time": 0.1693, "decode.loss_seg": 0.79207, "decode.acc_seg": 57.53482, "aux.loss_seg": 0.46066, "aux.acc_seg": 51.74402, "loss": 1.25273, "time": 0.56726} -{"mode": "train", "epoch": 7, "iter": 3850, "lr": 6e-05, "memory": 16095, "data_time": 0.00716, "decode.loss_seg": 0.75932, "decode.acc_seg": 59.73777, "aux.loss_seg": 0.45228, "aux.acc_seg": 53.74661, "loss": 1.2116, "time": 0.40512} -{"mode": "train", "epoch": 7, "iter": 3900, "lr": 6e-05, "memory": 16095, "data_time": 0.00712, "decode.loss_seg": 0.73771, "decode.acc_seg": 59.87858, "aux.loss_seg": 0.45022, "aux.acc_seg": 52.95263, "loss": 1.18794, "time": 0.40487} -{"mode": "train", "epoch": 7, "iter": 3950, "lr": 6e-05, "memory": 16095, "data_time": 0.00694, "decode.loss_seg": 0.76238, "decode.acc_seg": 58.77718, "aux.loss_seg": 0.45513, "aux.acc_seg": 52.35439, "loss": 1.21751, "time": 0.40528} -{"mode": "train", "epoch": 7, "iter": 4000, "lr": 6e-05, "memory": 16095, "data_time": 0.00724, "decode.loss_seg": 0.76725, "decode.acc_seg": 60.05696, "aux.loss_seg": 0.46617, "aux.acc_seg": 52.48165, "loss": 1.23342, "time": 0.40595} -{"mode": "train", "epoch": 7, "iter": 4050, "lr": 6e-05, "memory": 16095, "data_time": 0.00681, "decode.loss_seg": 0.75065, "decode.acc_seg": 59.57668, "aux.loss_seg": 0.44138, "aux.acc_seg": 53.13896, "loss": 1.19203, "time": 0.40708} -{"mode": "train", "epoch": 7, "iter": 4100, "lr": 6e-05, "memory": 16095, "data_time": 0.00715, "decode.loss_seg": 0.72329, "decode.acc_seg": 60.24453, "aux.loss_seg": 0.43098, "aux.acc_seg": 53.69719, "loss": 1.15428, "time": 0.40732} -{"mode": "train", "epoch": 7, "iter": 4150, "lr": 6e-05, "memory": 16095, "data_time": 0.00745, "decode.loss_seg": 0.73438, "decode.acc_seg": 60.08393, "aux.loss_seg": 0.43836, "aux.acc_seg": 52.96249, "loss": 1.17273, "time": 0.40545} -{"mode": "train", "epoch": 7, "iter": 4200, "lr": 6e-05, "memory": 16095, "data_time": 0.00763, "decode.loss_seg": 0.73896, "decode.acc_seg": 59.4137, "aux.loss_seg": 0.43481, "aux.acc_seg": 53.29081, "loss": 1.17377, "time": 0.40504} -{"mode": "train", "epoch": 7, "iter": 4250, "lr": 6e-05, "memory": 16095, "data_time": 0.00738, "decode.loss_seg": 0.7591, "decode.acc_seg": 59.75223, "aux.loss_seg": 0.44462, "aux.acc_seg": 53.34947, "loss": 1.20372, "time": 0.40474} -{"mode": "train", "epoch": 7, "iter": 4300, "lr": 6e-05, "memory": 16095, "data_time": 0.00746, "decode.loss_seg": 0.7491, "decode.acc_seg": 59.09525, "aux.loss_seg": 0.44099, "aux.acc_seg": 52.45986, "loss": 1.1901, "time": 0.40458} -{"mode": "train", "epoch": 7, "iter": 4350, "lr": 6e-05, "memory": 16095, "data_time": 0.00731, "decode.loss_seg": 0.75326, "decode.acc_seg": 59.32009, "aux.loss_seg": 0.44621, "aux.acc_seg": 53.03336, "loss": 1.19948, "time": 0.40499} -{"mode": "train", "epoch": 7, "iter": 4400, "lr": 6e-05, "memory": 16095, "data_time": 0.00761, "decode.loss_seg": 0.74408, "decode.acc_seg": 59.47366, "aux.loss_seg": 0.43322, "aux.acc_seg": 53.27056, "loss": 1.1773, "time": 0.40496} -{"mode": "train", "epoch": 8, "iter": 4450, "lr": 6e-05, "memory": 16095, "data_time": 0.16633, "decode.loss_seg": 0.72539, "decode.acc_seg": 59.4346, "aux.loss_seg": 0.43274, "aux.acc_seg": 52.62556, "loss": 1.15814, "time": 0.56674} -{"mode": "train", "epoch": 8, "iter": 4500, "lr": 6e-05, "memory": 16095, "data_time": 0.00741, "decode.loss_seg": 0.71629, "decode.acc_seg": 60.43662, "aux.loss_seg": 0.43295, "aux.acc_seg": 53.52994, "loss": 1.14924, "time": 0.4063} -{"mode": "train", "epoch": 8, "iter": 4550, "lr": 6e-05, "memory": 16095, "data_time": 0.00758, "decode.loss_seg": 0.70421, "decode.acc_seg": 59.74576, "aux.loss_seg": 0.42066, "aux.acc_seg": 53.28745, "loss": 1.12487, "time": 0.40655} -{"mode": "train", "epoch": 8, "iter": 4600, "lr": 6e-05, "memory": 16095, "data_time": 0.00774, "decode.loss_seg": 0.72569, "decode.acc_seg": 60.99677, "aux.loss_seg": 0.43559, "aux.acc_seg": 53.75512, "loss": 1.16128, "time": 0.40586} -{"mode": "train", "epoch": 8, "iter": 4650, "lr": 6e-05, "memory": 16095, "data_time": 0.00756, "decode.loss_seg": 0.6997, "decode.acc_seg": 60.8197, "aux.loss_seg": 0.41925, "aux.acc_seg": 54.08159, "loss": 1.11895, "time": 0.4052} -{"mode": "train", "epoch": 8, "iter": 4700, "lr": 6e-05, "memory": 16095, "data_time": 0.00735, "decode.loss_seg": 0.71367, "decode.acc_seg": 59.51221, "aux.loss_seg": 0.42135, "aux.acc_seg": 53.16073, "loss": 1.13502, "time": 0.40549} -{"mode": "train", "epoch": 8, "iter": 4750, "lr": 6e-05, "memory": 16095, "data_time": 0.00743, "decode.loss_seg": 0.713, "decode.acc_seg": 61.22638, "aux.loss_seg": 0.41672, "aux.acc_seg": 54.65673, "loss": 1.12971, "time": 0.40532} -{"mode": "train", "epoch": 8, "iter": 4800, "lr": 6e-05, "memory": 16095, "data_time": 0.00755, "decode.loss_seg": 0.68733, "decode.acc_seg": 61.42691, "aux.loss_seg": 0.40619, "aux.acc_seg": 54.86766, "loss": 1.09351, "time": 0.40545} -{"mode": "train", "epoch": 8, "iter": 4850, "lr": 6e-05, "memory": 16095, "data_time": 0.00755, "decode.loss_seg": 0.72371, "decode.acc_seg": 60.12875, "aux.loss_seg": 0.43179, "aux.acc_seg": 53.34408, "loss": 1.1555, "time": 0.40551} -{"mode": "train", "epoch": 8, "iter": 4900, "lr": 6e-05, "memory": 16095, "data_time": 0.00748, "decode.loss_seg": 0.72466, "decode.acc_seg": 59.97055, "aux.loss_seg": 0.42483, "aux.acc_seg": 53.98774, "loss": 1.14949, "time": 0.40509} -{"mode": "train", "epoch": 8, "iter": 4950, "lr": 6e-05, "memory": 16095, "data_time": 0.00746, "decode.loss_seg": 0.70118, "decode.acc_seg": 60.26942, "aux.loss_seg": 0.41837, "aux.acc_seg": 53.77172, "loss": 1.11955, "time": 0.40475} -{"mode": "train", "epoch": 8, "iter": 5000, "lr": 6e-05, "memory": 16095, "data_time": 0.00711, "decode.loss_seg": 0.71973, "decode.acc_seg": 58.51467, "aux.loss_seg": 0.41921, "aux.acc_seg": 52.69217, "loss": 1.13894, "time": 0.40478} -{"mode": "train", "epoch": 9, "iter": 5050, "lr": 6e-05, "memory": 16095, "data_time": 0.15697, "decode.loss_seg": 0.72826, "decode.acc_seg": 60.23231, "aux.loss_seg": 0.43286, "aux.acc_seg": 53.48393, "loss": 1.16112, "time": 0.57639} -{"mode": "train", "epoch": 9, "iter": 5100, "lr": 6e-05, "memory": 16095, "data_time": 0.00761, "decode.loss_seg": 0.6791, "decode.acc_seg": 61.93716, "aux.loss_seg": 0.40864, "aux.acc_seg": 55.50957, "loss": 1.08774, "time": 0.40579} -{"mode": "train", "epoch": 9, "iter": 5150, "lr": 6e-05, "memory": 16095, "data_time": 0.00752, "decode.loss_seg": 0.70065, "decode.acc_seg": 60.80773, "aux.loss_seg": 0.42441, "aux.acc_seg": 53.84451, "loss": 1.12505, "time": 0.40596} -{"mode": "train", "epoch": 9, "iter": 5200, "lr": 6e-05, "memory": 16095, "data_time": 0.00753, "decode.loss_seg": 0.6963, "decode.acc_seg": 59.81919, "aux.loss_seg": 0.41043, "aux.acc_seg": 53.37297, "loss": 1.10673, "time": 0.40545} -{"mode": "train", "epoch": 9, "iter": 5250, "lr": 6e-05, "memory": 16095, "data_time": 0.00649, "decode.loss_seg": 0.67788, "decode.acc_seg": 59.88833, "aux.loss_seg": 0.404, "aux.acc_seg": 53.49049, "loss": 1.08188, "time": 0.40462} -{"mode": "train", "epoch": 9, "iter": 5300, "lr": 6e-05, "memory": 16095, "data_time": 0.00665, "decode.loss_seg": 0.68427, "decode.acc_seg": 61.72868, "aux.loss_seg": 0.41039, "aux.acc_seg": 55.21094, "loss": 1.09466, "time": 0.40502} -{"mode": "train", "epoch": 9, "iter": 5350, "lr": 6e-05, "memory": 16095, "data_time": 0.00663, "decode.loss_seg": 0.69959, "decode.acc_seg": 60.53708, "aux.loss_seg": 0.41088, "aux.acc_seg": 54.2156, "loss": 1.11047, "time": 0.40441} -{"mode": "train", "epoch": 9, "iter": 5400, "lr": 6e-05, "memory": 16095, "data_time": 0.00636, "decode.loss_seg": 0.69308, "decode.acc_seg": 60.26575, "aux.loss_seg": 0.40735, "aux.acc_seg": 53.936, "loss": 1.10043, "time": 0.40486} -{"mode": "train", "epoch": 9, "iter": 5450, "lr": 6e-05, "memory": 16095, "data_time": 0.00638, "decode.loss_seg": 0.64426, "decode.acc_seg": 61.80226, "aux.loss_seg": 0.3867, "aux.acc_seg": 55.2382, "loss": 1.03096, "time": 0.40425} -{"mode": "train", "epoch": 9, "iter": 5500, "lr": 6e-05, "memory": 16095, "data_time": 0.00653, "decode.loss_seg": 0.68694, "decode.acc_seg": 61.64481, "aux.loss_seg": 0.41445, "aux.acc_seg": 54.28422, "loss": 1.10139, "time": 0.40391} -{"mode": "train", "epoch": 9, "iter": 5550, "lr": 6e-05, "memory": 16095, "data_time": 0.00663, "decode.loss_seg": 0.69242, "decode.acc_seg": 61.27015, "aux.loss_seg": 0.4123, "aux.acc_seg": 54.37273, "loss": 1.10472, "time": 0.40445} -{"mode": "train", "epoch": 9, "iter": 5600, "lr": 6e-05, "memory": 16095, "data_time": 0.00673, "decode.loss_seg": 0.66433, "decode.acc_seg": 60.55396, "aux.loss_seg": 0.39597, "aux.acc_seg": 53.8833, "loss": 1.06031, "time": 0.40406} -{"mode": "train", "epoch": 9, "iter": 5650, "lr": 6e-05, "memory": 16095, "data_time": 0.00654, "decode.loss_seg": 0.67396, "decode.acc_seg": 60.73575, "aux.loss_seg": 0.39931, "aux.acc_seg": 54.42607, "loss": 1.07327, "time": 0.40434} -{"mode": "train", "epoch": 10, "iter": 5700, "lr": 6e-05, "memory": 16095, "data_time": 0.17634, "decode.loss_seg": 0.6559, "decode.acc_seg": 61.77077, "aux.loss_seg": 0.39694, "aux.acc_seg": 55.17406, "loss": 1.05284, "time": 0.57435} -{"mode": "train", "epoch": 10, "iter": 5750, "lr": 6e-05, "memory": 16095, "data_time": 0.009, "decode.loss_seg": 0.65488, "decode.acc_seg": 62.1461, "aux.loss_seg": 0.39519, "aux.acc_seg": 55.27239, "loss": 1.05007, "time": 0.40969} -{"mode": "train", "epoch": 10, "iter": 5800, "lr": 6e-05, "memory": 16095, "data_time": 0.00986, "decode.loss_seg": 0.64441, "decode.acc_seg": 62.60839, "aux.loss_seg": 0.3853, "aux.acc_seg": 55.72762, "loss": 1.02971, "time": 0.40766} -{"mode": "train", "epoch": 10, "iter": 5850, "lr": 6e-05, "memory": 16095, "data_time": 0.01041, "decode.loss_seg": 0.66005, "decode.acc_seg": 61.42315, "aux.loss_seg": 0.39456, "aux.acc_seg": 54.78415, "loss": 1.05461, "time": 0.40852} -{"mode": "train", "epoch": 10, "iter": 5900, "lr": 6e-05, "memory": 16095, "data_time": 0.01088, "decode.loss_seg": 0.68935, "decode.acc_seg": 61.07187, "aux.loss_seg": 0.40843, "aux.acc_seg": 54.20531, "loss": 1.09778, "time": 0.40819} -{"mode": "train", "epoch": 10, "iter": 5950, "lr": 6e-05, "memory": 16095, "data_time": 0.01045, "decode.loss_seg": 0.64926, "decode.acc_seg": 61.37796, "aux.loss_seg": 0.3928, "aux.acc_seg": 54.81161, "loss": 1.04207, "time": 0.40778} -{"mode": "train", "epoch": 10, "iter": 6000, "lr": 6e-05, "memory": 16095, "data_time": 0.01037, "decode.loss_seg": 0.70179, "decode.acc_seg": 60.8667, "aux.loss_seg": 0.41251, "aux.acc_seg": 54.52479, "loss": 1.1143, "time": 0.40772} -{"mode": "train", "epoch": 10, "iter": 6050, "lr": 6e-05, "memory": 16095, "data_time": 0.01089, "decode.loss_seg": 0.64142, "decode.acc_seg": 62.00178, "aux.loss_seg": 0.38245, "aux.acc_seg": 55.77511, "loss": 1.02387, "time": 0.4073} -{"mode": "train", "epoch": 10, "iter": 6100, "lr": 6e-05, "memory": 16095, "data_time": 0.01005, "decode.loss_seg": 0.69029, "decode.acc_seg": 61.64473, "aux.loss_seg": 0.40495, "aux.acc_seg": 55.12938, "loss": 1.09524, "time": 0.40717} -{"mode": "train", "epoch": 10, "iter": 6150, "lr": 6e-05, "memory": 16095, "data_time": 0.0104, "decode.loss_seg": 0.68228, "decode.acc_seg": 61.86262, "aux.loss_seg": 0.3951, "aux.acc_seg": 55.86616, "loss": 1.07738, "time": 0.40618} -{"mode": "train", "epoch": 10, "iter": 6200, "lr": 6e-05, "memory": 16095, "data_time": 0.0106, "decode.loss_seg": 0.65722, "decode.acc_seg": 61.5343, "aux.loss_seg": 0.38882, "aux.acc_seg": 55.10462, "loss": 1.04604, "time": 0.40701} -{"mode": "train", "epoch": 10, "iter": 6250, "lr": 6e-05, "memory": 16095, "data_time": 0.01026, "decode.loss_seg": 0.65241, "decode.acc_seg": 62.19625, "aux.loss_seg": 0.39036, "aux.acc_seg": 55.88429, "loss": 1.04277, "time": 0.40658} -{"mode": "train", "epoch": 10, "iter": 6300, "lr": 6e-05, "memory": 16095, "data_time": 0.01041, "decode.loss_seg": 0.66218, "decode.acc_seg": 60.77389, "aux.loss_seg": 0.38911, "aux.acc_seg": 54.26974, "loss": 1.05128, "time": 0.40738} -{"mode": "train", "epoch": 11, "iter": 6350, "lr": 6e-05, "memory": 16095, "data_time": 0.16745, "decode.loss_seg": 0.6188, "decode.acc_seg": 62.59336, "aux.loss_seg": 0.37492, "aux.acc_seg": 55.84439, "loss": 0.99372, "time": 0.57262} -{"mode": "train", "epoch": 11, "iter": 6400, "lr": 6e-05, "memory": 16095, "data_time": 0.01024, "decode.loss_seg": 0.63379, "decode.acc_seg": 61.88051, "aux.loss_seg": 0.38461, "aux.acc_seg": 55.09596, "loss": 1.0184, "time": 0.40612} -{"mode": "train", "epoch": 11, "iter": 6450, "lr": 6e-05, "memory": 16095, "data_time": 0.0098, "decode.loss_seg": 0.64093, "decode.acc_seg": 60.54758, "aux.loss_seg": 0.3867, "aux.acc_seg": 53.76872, "loss": 1.02763, "time": 0.40612} -{"mode": "train", "epoch": 11, "iter": 6500, "lr": 6e-05, "memory": 16095, "data_time": 0.00984, "decode.loss_seg": 0.66624, "decode.acc_seg": 62.05188, "aux.loss_seg": 0.39171, "aux.acc_seg": 55.63355, "loss": 1.05795, "time": 0.40567} -{"mode": "train", "epoch": 11, "iter": 6550, "lr": 6e-05, "memory": 16095, "data_time": 0.00999, "decode.loss_seg": 0.62194, "decode.acc_seg": 61.5981, "aux.loss_seg": 0.37489, "aux.acc_seg": 55.01031, "loss": 0.99683, "time": 0.40655} -{"mode": "train", "epoch": 11, "iter": 6600, "lr": 6e-05, "memory": 16095, "data_time": 0.01025, "decode.loss_seg": 0.61838, "decode.acc_seg": 61.45073, "aux.loss_seg": 0.36825, "aux.acc_seg": 55.06405, "loss": 0.98663, "time": 0.4069} -{"mode": "train", "epoch": 11, "iter": 6650, "lr": 6e-05, "memory": 16095, "data_time": 0.01014, "decode.loss_seg": 0.64284, "decode.acc_seg": 61.36464, "aux.loss_seg": 0.37816, "aux.acc_seg": 55.10573, "loss": 1.021, "time": 0.40602} -{"mode": "train", "epoch": 11, "iter": 6700, "lr": 6e-05, "memory": 16095, "data_time": 0.01054, "decode.loss_seg": 0.67751, "decode.acc_seg": 61.83159, "aux.loss_seg": 0.40218, "aux.acc_seg": 55.17807, "loss": 1.07969, "time": 0.40682} -{"mode": "train", "epoch": 11, "iter": 6750, "lr": 6e-05, "memory": 16095, "data_time": 0.00938, "decode.loss_seg": 0.64842, "decode.acc_seg": 62.80542, "aux.loss_seg": 0.39406, "aux.acc_seg": 56.24439, "loss": 1.04247, "time": 0.40646} -{"mode": "train", "epoch": 11, "iter": 6800, "lr": 6e-05, "memory": 16095, "data_time": 0.00937, "decode.loss_seg": 0.65003, "decode.acc_seg": 61.81843, "aux.loss_seg": 0.38229, "aux.acc_seg": 55.26422, "loss": 1.03232, "time": 0.40655} -{"mode": "train", "epoch": 11, "iter": 6850, "lr": 6e-05, "memory": 16095, "data_time": 0.00968, "decode.loss_seg": 0.62624, "decode.acc_seg": 61.85802, "aux.loss_seg": 0.36656, "aux.acc_seg": 55.99402, "loss": 0.9928, "time": 0.40626} -{"mode": "train", "epoch": 11, "iter": 6900, "lr": 6e-05, "memory": 16095, "data_time": 0.00964, "decode.loss_seg": 0.65564, "decode.acc_seg": 62.28498, "aux.loss_seg": 0.38521, "aux.acc_seg": 55.63316, "loss": 1.04085, "time": 0.406} -{"mode": "train", "epoch": 12, "iter": 6950, "lr": 6e-05, "memory": 16095, "data_time": 0.15498, "decode.loss_seg": 0.64479, "decode.acc_seg": 61.72041, "aux.loss_seg": 0.381, "aux.acc_seg": 55.43685, "loss": 1.02579, "time": 0.55882} -{"mode": "train", "epoch": 12, "iter": 7000, "lr": 6e-05, "memory": 16095, "data_time": 0.006, "decode.loss_seg": 0.61802, "decode.acc_seg": 63.53388, "aux.loss_seg": 0.37459, "aux.acc_seg": 56.76274, "loss": 0.99261, "time": 0.40527} -{"mode": "train", "epoch": 12, "iter": 7050, "lr": 6e-05, "memory": 16095, "data_time": 0.00613, "decode.loss_seg": 0.61209, "decode.acc_seg": 61.15282, "aux.loss_seg": 0.36849, "aux.acc_seg": 54.73801, "loss": 0.98058, "time": 0.40536} -{"mode": "train", "epoch": 12, "iter": 7100, "lr": 6e-05, "memory": 16095, "data_time": 0.00612, "decode.loss_seg": 0.64553, "decode.acc_seg": 61.22515, "aux.loss_seg": 0.3807, "aux.acc_seg": 54.75451, "loss": 1.02623, "time": 0.40576} -{"mode": "train", "epoch": 12, "iter": 7150, "lr": 6e-05, "memory": 16095, "data_time": 0.00622, "decode.loss_seg": 0.62707, "decode.acc_seg": 62.67586, "aux.loss_seg": 0.36313, "aux.acc_seg": 56.95317, "loss": 0.9902, "time": 0.40569} -{"mode": "train", "epoch": 12, "iter": 7200, "lr": 6e-05, "memory": 16095, "data_time": 0.00607, "decode.loss_seg": 0.62744, "decode.acc_seg": 61.26676, "aux.loss_seg": 0.3739, "aux.acc_seg": 55.17327, "loss": 1.00134, "time": 0.40582} -{"mode": "train", "epoch": 12, "iter": 7250, "lr": 6e-05, "memory": 16095, "data_time": 0.00599, "decode.loss_seg": 0.62434, "decode.acc_seg": 63.50908, "aux.loss_seg": 0.37742, "aux.acc_seg": 56.67325, "loss": 1.00175, "time": 0.4055} -{"mode": "train", "epoch": 12, "iter": 7300, "lr": 6e-05, "memory": 16095, "data_time": 0.00619, "decode.loss_seg": 0.61766, "decode.acc_seg": 62.57454, "aux.loss_seg": 0.37022, "aux.acc_seg": 55.95558, "loss": 0.98788, "time": 0.40558} -{"mode": "train", "epoch": 12, "iter": 7350, "lr": 6e-05, "memory": 16095, "data_time": 0.00628, "decode.loss_seg": 0.62006, "decode.acc_seg": 62.22527, "aux.loss_seg": 0.3692, "aux.acc_seg": 55.97331, "loss": 0.98926, "time": 0.40536} -{"mode": "train", "epoch": 12, "iter": 7400, "lr": 6e-05, "memory": 16095, "data_time": 0.00605, "decode.loss_seg": 0.62146, "decode.acc_seg": 62.28155, "aux.loss_seg": 0.37089, "aux.acc_seg": 55.60322, "loss": 0.99236, "time": 0.40499} -{"mode": "train", "epoch": 12, "iter": 7450, "lr": 6e-05, "memory": 16095, "data_time": 0.00598, "decode.loss_seg": 0.63048, "decode.acc_seg": 62.99581, "aux.loss_seg": 0.37283, "aux.acc_seg": 56.4669, "loss": 1.00331, "time": 0.40531} -{"mode": "train", "epoch": 12, "iter": 7500, "lr": 6e-05, "memory": 16095, "data_time": 0.00594, "decode.loss_seg": 0.6331, "decode.acc_seg": 62.68198, "aux.loss_seg": 0.3785, "aux.acc_seg": 56.05437, "loss": 1.0116, "time": 0.40561} -{"mode": "train", "epoch": 12, "iter": 7550, "lr": 6e-05, "memory": 16095, "data_time": 0.00624, "decode.loss_seg": 0.61798, "decode.acc_seg": 61.75315, "aux.loss_seg": 0.36589, "aux.acc_seg": 55.58929, "loss": 0.98388, "time": 0.40488} -{"mode": "train", "epoch": 13, "iter": 7600, "lr": 6e-05, "memory": 16095, "data_time": 0.16319, "decode.loss_seg": 0.62516, "decode.acc_seg": 62.13511, "aux.loss_seg": 0.37355, "aux.acc_seg": 55.75623, "loss": 0.99871, "time": 0.56392} -{"mode": "train", "epoch": 13, "iter": 7650, "lr": 6e-05, "memory": 16095, "data_time": 0.00962, "decode.loss_seg": 0.60824, "decode.acc_seg": 63.32376, "aux.loss_seg": 0.37099, "aux.acc_seg": 56.71048, "loss": 0.97923, "time": 0.40577} -{"mode": "train", "epoch": 13, "iter": 7700, "lr": 6e-05, "memory": 16095, "data_time": 0.01016, "decode.loss_seg": 0.60194, "decode.acc_seg": 62.16663, "aux.loss_seg": 0.36807, "aux.acc_seg": 55.32545, "loss": 0.97001, "time": 0.40643} -{"mode": "train", "epoch": 13, "iter": 7750, "lr": 6e-05, "memory": 16095, "data_time": 0.01016, "decode.loss_seg": 0.62676, "decode.acc_seg": 62.45553, "aux.loss_seg": 0.37733, "aux.acc_seg": 55.80151, "loss": 1.00409, "time": 0.40639} -{"mode": "train", "epoch": 13, "iter": 7800, "lr": 6e-05, "memory": 16095, "data_time": 0.00984, "decode.loss_seg": 0.60059, "decode.acc_seg": 62.30451, "aux.loss_seg": 0.36551, "aux.acc_seg": 55.61612, "loss": 0.96609, "time": 0.4064} -{"mode": "train", "epoch": 13, "iter": 7850, "lr": 6e-05, "memory": 16095, "data_time": 0.0097, "decode.loss_seg": 0.62252, "decode.acc_seg": 61.50241, "aux.loss_seg": 0.36721, "aux.acc_seg": 55.75152, "loss": 0.98974, "time": 0.4063} -{"mode": "train", "epoch": 13, "iter": 7900, "lr": 6e-05, "memory": 16095, "data_time": 0.00924, "decode.loss_seg": 0.60327, "decode.acc_seg": 62.55803, "aux.loss_seg": 0.3548, "aux.acc_seg": 56.63338, "loss": 0.95807, "time": 0.40558} -{"mode": "train", "epoch": 13, "iter": 7950, "lr": 6e-05, "memory": 16095, "data_time": 0.00992, "decode.loss_seg": 0.5934, "decode.acc_seg": 63.92727, "aux.loss_seg": 0.35928, "aux.acc_seg": 57.26809, "loss": 0.95268, "time": 0.4054} -{"mode": "train", "epoch": 13, "iter": 8000, "lr": 6e-05, "memory": 16095, "data_time": 0.00992, "decode.loss_seg": 0.59228, "decode.acc_seg": 63.26296, "aux.loss_seg": 0.35039, "aux.acc_seg": 57.39817, "loss": 0.94267, "time": 0.40544} -{"mode": "train", "epoch": 13, "iter": 8050, "lr": 6e-05, "memory": 16095, "data_time": 0.0097, "decode.loss_seg": 0.61077, "decode.acc_seg": 62.93024, "aux.loss_seg": 0.36391, "aux.acc_seg": 56.29114, "loss": 0.97468, "time": 0.40548} -{"mode": "train", "epoch": 13, "iter": 8100, "lr": 6e-05, "memory": 16095, "data_time": 0.00971, "decode.loss_seg": 0.61221, "decode.acc_seg": 62.69875, "aux.loss_seg": 0.36319, "aux.acc_seg": 56.06654, "loss": 0.9754, "time": 0.40539} -{"mode": "train", "epoch": 13, "iter": 8150, "lr": 6e-05, "memory": 16095, "data_time": 0.01005, "decode.loss_seg": 0.60993, "decode.acc_seg": 62.09643, "aux.loss_seg": 0.36488, "aux.acc_seg": 55.40056, "loss": 0.97482, "time": 0.40504} -{"mode": "train", "epoch": 13, "iter": 8200, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.61029, "decode.acc_seg": 62.14176, "aux.loss_seg": 0.35724, "aux.acc_seg": 56.31351, "loss": 0.96754, "time": 0.40476} -{"mode": "train", "epoch": 14, "iter": 8250, "lr": 6e-05, "memory": 16095, "data_time": 0.16205, "decode.loss_seg": 0.58338, "decode.acc_seg": 63.91815, "aux.loss_seg": 0.35037, "aux.acc_seg": 57.48256, "loss": 0.93375, "time": 0.55787} -{"mode": "train", "epoch": 14, "iter": 8300, "lr": 6e-05, "memory": 16095, "data_time": 0.01056, "decode.loss_seg": 0.56193, "decode.acc_seg": 63.90361, "aux.loss_seg": 0.33954, "aux.acc_seg": 57.4784, "loss": 0.90147, "time": 0.40579} -{"mode": "train", "epoch": 14, "iter": 8350, "lr": 6e-05, "memory": 16095, "data_time": 0.01006, "decode.loss_seg": 0.59628, "decode.acc_seg": 63.5889, "aux.loss_seg": 0.36445, "aux.acc_seg": 56.77442, "loss": 0.96073, "time": 0.40627} -{"mode": "train", "epoch": 14, "iter": 8400, "lr": 6e-05, "memory": 16095, "data_time": 0.01019, "decode.loss_seg": 0.58586, "decode.acc_seg": 64.02334, "aux.loss_seg": 0.35417, "aux.acc_seg": 57.43617, "loss": 0.94003, "time": 0.40639} -{"mode": "train", "epoch": 14, "iter": 8450, "lr": 6e-05, "memory": 16095, "data_time": 0.01002, "decode.loss_seg": 0.58315, "decode.acc_seg": 62.63811, "aux.loss_seg": 0.34546, "aux.acc_seg": 56.70546, "loss": 0.92861, "time": 0.40634} -{"mode": "train", "epoch": 14, "iter": 8500, "lr": 6e-05, "memory": 16095, "data_time": 0.01025, "decode.loss_seg": 0.57867, "decode.acc_seg": 62.03077, "aux.loss_seg": 0.34513, "aux.acc_seg": 55.72512, "loss": 0.92381, "time": 0.40574} -{"mode": "train", "epoch": 14, "iter": 8550, "lr": 6e-05, "memory": 16095, "data_time": 0.01008, "decode.loss_seg": 0.5867, "decode.acc_seg": 63.93577, "aux.loss_seg": 0.34708, "aux.acc_seg": 57.67646, "loss": 0.93378, "time": 0.40543} -{"mode": "train", "epoch": 14, "iter": 8600, "lr": 6e-05, "memory": 16095, "data_time": 0.00968, "decode.loss_seg": 0.61167, "decode.acc_seg": 63.70165, "aux.loss_seg": 0.3695, "aux.acc_seg": 56.90427, "loss": 0.98117, "time": 0.40542} -{"mode": "train", "epoch": 14, "iter": 8650, "lr": 6e-05, "memory": 16095, "data_time": 0.01013, "decode.loss_seg": 0.60467, "decode.acc_seg": 63.23315, "aux.loss_seg": 0.36168, "aux.acc_seg": 56.67054, "loss": 0.96635, "time": 0.40531} -{"mode": "train", "epoch": 14, "iter": 8700, "lr": 6e-05, "memory": 16095, "data_time": 0.01037, "decode.loss_seg": 0.58934, "decode.acc_seg": 62.27251, "aux.loss_seg": 0.35293, "aux.acc_seg": 56.20635, "loss": 0.94226, "time": 0.40592} -{"mode": "train", "epoch": 14, "iter": 8750, "lr": 6e-05, "memory": 16095, "data_time": 0.01012, "decode.loss_seg": 0.61579, "decode.acc_seg": 62.42481, "aux.loss_seg": 0.36893, "aux.acc_seg": 55.40524, "loss": 0.98472, "time": 0.4061} -{"mode": "train", "epoch": 14, "iter": 8800, "lr": 6e-05, "memory": 16095, "data_time": 0.01031, "decode.loss_seg": 0.60199, "decode.acc_seg": 62.78229, "aux.loss_seg": 0.35954, "aux.acc_seg": 56.57384, "loss": 0.96154, "time": 0.40608} -{"mode": "train", "epoch": 15, "iter": 8850, "lr": 6e-05, "memory": 16095, "data_time": 0.16415, "decode.loss_seg": 0.56494, "decode.acc_seg": 63.53339, "aux.loss_seg": 0.33736, "aux.acc_seg": 57.8299, "loss": 0.9023, "time": 0.56155} -{"mode": "train", "epoch": 15, "iter": 8900, "lr": 6e-05, "memory": 16095, "data_time": 0.00954, "decode.loss_seg": 0.55764, "decode.acc_seg": 64.26923, "aux.loss_seg": 0.33724, "aux.acc_seg": 57.74162, "loss": 0.89488, "time": 0.40519} -{"mode": "train", "epoch": 15, "iter": 8950, "lr": 6e-05, "memory": 16095, "data_time": 0.00963, "decode.loss_seg": 0.58905, "decode.acc_seg": 63.22782, "aux.loss_seg": 0.34904, "aux.acc_seg": 56.67953, "loss": 0.93809, "time": 0.40505} -{"mode": "train", "epoch": 15, "iter": 9000, "lr": 6e-05, "memory": 16095, "data_time": 0.00902, "decode.loss_seg": 0.57304, "decode.acc_seg": 63.71633, "aux.loss_seg": 0.34513, "aux.acc_seg": 57.23663, "loss": 0.91817, "time": 0.40451} -{"mode": "train", "epoch": 15, "iter": 9050, "lr": 6e-05, "memory": 16095, "data_time": 0.00882, "decode.loss_seg": 0.60357, "decode.acc_seg": 62.91836, "aux.loss_seg": 0.35587, "aux.acc_seg": 56.44256, "loss": 0.95943, "time": 0.40486} -{"mode": "train", "epoch": 15, "iter": 9100, "lr": 6e-05, "memory": 16095, "data_time": 0.00945, "decode.loss_seg": 0.57717, "decode.acc_seg": 63.24778, "aux.loss_seg": 0.33986, "aux.acc_seg": 57.49562, "loss": 0.91703, "time": 0.40454} -{"mode": "train", "epoch": 15, "iter": 9150, "lr": 6e-05, "memory": 16095, "data_time": 0.00935, "decode.loss_seg": 0.57452, "decode.acc_seg": 64.53189, "aux.loss_seg": 0.34355, "aux.acc_seg": 58.43723, "loss": 0.91807, "time": 0.40423} -{"mode": "train", "epoch": 15, "iter": 9200, "lr": 6e-05, "memory": 16095, "data_time": 0.00977, "decode.loss_seg": 0.60583, "decode.acc_seg": 63.37612, "aux.loss_seg": 0.35615, "aux.acc_seg": 57.51377, "loss": 0.96198, "time": 0.40457} -{"mode": "train", "epoch": 15, "iter": 9250, "lr": 6e-05, "memory": 16095, "data_time": 0.00909, "decode.loss_seg": 0.58175, "decode.acc_seg": 63.07213, "aux.loss_seg": 0.35402, "aux.acc_seg": 56.27496, "loss": 0.93577, "time": 0.40454} -{"mode": "train", "epoch": 15, "iter": 9300, "lr": 6e-05, "memory": 16095, "data_time": 0.0094, "decode.loss_seg": 0.57117, "decode.acc_seg": 62.40936, "aux.loss_seg": 0.34396, "aux.acc_seg": 56.18682, "loss": 0.91513, "time": 0.40462} -{"mode": "train", "epoch": 15, "iter": 9350, "lr": 6e-05, "memory": 16095, "data_time": 0.00916, "decode.loss_seg": 0.56621, "decode.acc_seg": 63.57745, "aux.loss_seg": 0.34137, "aux.acc_seg": 57.04052, "loss": 0.90758, "time": 0.40388} -{"mode": "train", "epoch": 15, "iter": 9400, "lr": 6e-05, "memory": 16095, "data_time": 0.00877, "decode.loss_seg": 0.57456, "decode.acc_seg": 63.60883, "aux.loss_seg": 0.34582, "aux.acc_seg": 57.22356, "loss": 0.92038, "time": 0.40396} -{"mode": "train", "epoch": 15, "iter": 9450, "lr": 6e-05, "memory": 16095, "data_time": 0.00884, "decode.loss_seg": 0.57661, "decode.acc_seg": 63.09516, "aux.loss_seg": 0.34492, "aux.acc_seg": 56.4312, "loss": 0.92153, "time": 0.40391} -{"mode": "train", "epoch": 16, "iter": 9500, "lr": 6e-05, "memory": 16095, "data_time": 0.15909, "decode.loss_seg": 0.58905, "decode.acc_seg": 63.56405, "aux.loss_seg": 0.35875, "aux.acc_seg": 56.67148, "loss": 0.9478, "time": 0.56601} -{"mode": "train", "epoch": 16, "iter": 9550, "lr": 6e-05, "memory": 16095, "data_time": 0.01116, "decode.loss_seg": 0.56581, "decode.acc_seg": 63.31178, "aux.loss_seg": 0.34476, "aux.acc_seg": 56.50694, "loss": 0.91056, "time": 0.40642} -{"mode": "train", "epoch": 16, "iter": 9600, "lr": 6e-05, "memory": 16095, "data_time": 0.01019, "decode.loss_seg": 0.55968, "decode.acc_seg": 64.0041, "aux.loss_seg": 0.33499, "aux.acc_seg": 58.1, "loss": 0.89468, "time": 0.40626} -{"mode": "train", "epoch": 16, "iter": 9650, "lr": 6e-05, "memory": 16095, "data_time": 0.01033, "decode.loss_seg": 0.56365, "decode.acc_seg": 65.31615, "aux.loss_seg": 0.34289, "aux.acc_seg": 58.72363, "loss": 0.90655, "time": 0.40618} -{"mode": "train", "epoch": 16, "iter": 9700, "lr": 6e-05, "memory": 16095, "data_time": 0.01032, "decode.loss_seg": 0.56353, "decode.acc_seg": 63.10301, "aux.loss_seg": 0.3344, "aux.acc_seg": 56.98945, "loss": 0.89793, "time": 0.40631} -{"mode": "train", "epoch": 16, "iter": 9750, "lr": 6e-05, "memory": 16095, "data_time": 0.01037, "decode.loss_seg": 0.56725, "decode.acc_seg": 64.55913, "aux.loss_seg": 0.33747, "aux.acc_seg": 58.29466, "loss": 0.90472, "time": 0.40608} -{"mode": "train", "epoch": 16, "iter": 9800, "lr": 6e-05, "memory": 16095, "data_time": 0.01028, "decode.loss_seg": 0.56367, "decode.acc_seg": 63.46164, "aux.loss_seg": 0.33654, "aux.acc_seg": 57.31113, "loss": 0.90021, "time": 0.40602} -{"mode": "train", "epoch": 16, "iter": 9850, "lr": 6e-05, "memory": 16095, "data_time": 0.01088, "decode.loss_seg": 0.57658, "decode.acc_seg": 64.53284, "aux.loss_seg": 0.34382, "aux.acc_seg": 58.15707, "loss": 0.92041, "time": 0.4059} -{"mode": "train", "epoch": 16, "iter": 9900, "lr": 6e-05, "memory": 16095, "data_time": 0.01086, "decode.loss_seg": 0.55535, "decode.acc_seg": 63.16656, "aux.loss_seg": 0.33259, "aux.acc_seg": 57.08679, "loss": 0.88794, "time": 0.40592} -{"mode": "train", "epoch": 16, "iter": 9950, "lr": 6e-05, "memory": 16095, "data_time": 0.01099, "decode.loss_seg": 0.56822, "decode.acc_seg": 63.87135, "aux.loss_seg": 0.33641, "aux.acc_seg": 57.73476, "loss": 0.90463, "time": 0.40574} -{"mode": "train", "epoch": 16, "iter": 10000, "lr": 6e-05, "memory": 16095, "data_time": 0.01111, "decode.loss_seg": 0.57175, "decode.acc_seg": 64.1954, "aux.loss_seg": 0.34207, "aux.acc_seg": 58.00008, "loss": 0.91381, "time": 0.40595} -{"mode": "train", "epoch": 16, "iter": 10050, "lr": 6e-05, "memory": 16095, "data_time": 0.01105, "decode.loss_seg": 0.57956, "decode.acc_seg": 63.27423, "aux.loss_seg": 0.34618, "aux.acc_seg": 57.26369, "loss": 0.92574, "time": 0.40582} -{"mode": "train", "epoch": 17, "iter": 10100, "lr": 6e-05, "memory": 16095, "data_time": 0.17277, "decode.loss_seg": 0.601, "decode.acc_seg": 62.46003, "aux.loss_seg": 0.35747, "aux.acc_seg": 56.30542, "loss": 0.95847, "time": 0.56786} -{"mode": "train", "epoch": 17, "iter": 10150, "lr": 6e-05, "memory": 16095, "data_time": 0.01052, "decode.loss_seg": 0.54505, "decode.acc_seg": 64.13275, "aux.loss_seg": 0.33374, "aux.acc_seg": 57.31329, "loss": 0.87879, "time": 0.40548} -{"mode": "train", "epoch": 17, "iter": 10200, "lr": 6e-05, "memory": 16095, "data_time": 0.01067, "decode.loss_seg": 0.55066, "decode.acc_seg": 64.38423, "aux.loss_seg": 0.33357, "aux.acc_seg": 57.92436, "loss": 0.88423, "time": 0.40544} -{"mode": "train", "epoch": 17, "iter": 10250, "lr": 6e-05, "memory": 16095, "data_time": 0.01082, "decode.loss_seg": 0.54368, "decode.acc_seg": 63.91506, "aux.loss_seg": 0.33493, "aux.acc_seg": 57.34575, "loss": 0.87861, "time": 0.40519} -{"mode": "train", "epoch": 17, "iter": 10300, "lr": 6e-05, "memory": 16095, "data_time": 0.01014, "decode.loss_seg": 0.54719, "decode.acc_seg": 64.03096, "aux.loss_seg": 0.34024, "aux.acc_seg": 57.31502, "loss": 0.88743, "time": 0.40463} -{"mode": "train", "epoch": 17, "iter": 10350, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.55058, "decode.acc_seg": 64.96814, "aux.loss_seg": 0.33345, "aux.acc_seg": 58.50383, "loss": 0.88402, "time": 0.40478} -{"mode": "train", "epoch": 17, "iter": 10400, "lr": 6e-05, "memory": 16095, "data_time": 0.01008, "decode.loss_seg": 0.54856, "decode.acc_seg": 64.4576, "aux.loss_seg": 0.33398, "aux.acc_seg": 57.5929, "loss": 0.88254, "time": 0.4049} -{"mode": "train", "epoch": 17, "iter": 10450, "lr": 6e-05, "memory": 16095, "data_time": 0.01023, "decode.loss_seg": 0.55827, "decode.acc_seg": 64.72484, "aux.loss_seg": 0.33454, "aux.acc_seg": 58.40229, "loss": 0.89281, "time": 0.40484} -{"mode": "train", "epoch": 17, "iter": 10500, "lr": 6e-05, "memory": 16095, "data_time": 0.01001, "decode.loss_seg": 0.55282, "decode.acc_seg": 64.29109, "aux.loss_seg": 0.33963, "aux.acc_seg": 57.46792, "loss": 0.89245, "time": 0.40474} -{"mode": "train", "epoch": 17, "iter": 10550, "lr": 6e-05, "memory": 16095, "data_time": 0.01034, "decode.loss_seg": 0.58531, "decode.acc_seg": 64.29054, "aux.loss_seg": 0.35298, "aux.acc_seg": 57.94826, "loss": 0.93828, "time": 0.4048} -{"mode": "train", "epoch": 17, "iter": 10600, "lr": 6e-05, "memory": 16095, "data_time": 0.00991, "decode.loss_seg": 0.54748, "decode.acc_seg": 64.39568, "aux.loss_seg": 0.33296, "aux.acc_seg": 57.99239, "loss": 0.88044, "time": 0.40443} -{"mode": "train", "epoch": 17, "iter": 10650, "lr": 6e-05, "memory": 16095, "data_time": 0.01017, "decode.loss_seg": 0.55408, "decode.acc_seg": 64.07478, "aux.loss_seg": 0.33247, "aux.acc_seg": 57.88963, "loss": 0.88655, "time": 0.40483} -{"mode": "train", "epoch": 17, "iter": 10700, "lr": 6e-05, "memory": 16095, "data_time": 0.01001, "decode.loss_seg": 0.55018, "decode.acc_seg": 63.94923, "aux.loss_seg": 0.33081, "aux.acc_seg": 57.5866, "loss": 0.88099, "time": 0.40474} -{"mode": "train", "epoch": 18, "iter": 10750, "lr": 6e-05, "memory": 16095, "data_time": 0.17156, "decode.loss_seg": 0.5497, "decode.acc_seg": 63.87009, "aux.loss_seg": 0.32641, "aux.acc_seg": 58.08735, "loss": 0.8761, "time": 0.56766} -{"mode": "train", "epoch": 18, "iter": 10800, "lr": 6e-05, "memory": 16095, "data_time": 0.00827, "decode.loss_seg": 0.55295, "decode.acc_seg": 64.48775, "aux.loss_seg": 0.33372, "aux.acc_seg": 57.97562, "loss": 0.88667, "time": 0.40328} -{"mode": "train", "epoch": 18, "iter": 10850, "lr": 6e-05, "memory": 16095, "data_time": 0.00862, "decode.loss_seg": 0.54668, "decode.acc_seg": 64.3615, "aux.loss_seg": 0.32751, "aux.acc_seg": 58.16903, "loss": 0.87419, "time": 0.40421} -{"mode": "train", "epoch": 18, "iter": 10900, "lr": 6e-05, "memory": 16095, "data_time": 0.00853, "decode.loss_seg": 0.54978, "decode.acc_seg": 63.26561, "aux.loss_seg": 0.32496, "aux.acc_seg": 57.57265, "loss": 0.87474, "time": 0.40399} -{"mode": "train", "epoch": 18, "iter": 10950, "lr": 6e-05, "memory": 16095, "data_time": 0.00831, "decode.loss_seg": 0.53123, "decode.acc_seg": 63.59081, "aux.loss_seg": 0.32587, "aux.acc_seg": 57.15855, "loss": 0.8571, "time": 0.40385} -{"mode": "train", "epoch": 18, "iter": 11000, "lr": 6e-05, "memory": 16095, "data_time": 0.00864, "decode.loss_seg": 0.55296, "decode.acc_seg": 63.68687, "aux.loss_seg": 0.33539, "aux.acc_seg": 57.25654, "loss": 0.88835, "time": 0.40396} -{"mode": "train", "epoch": 18, "iter": 11050, "lr": 6e-05, "memory": 16095, "data_time": 0.00829, "decode.loss_seg": 0.54878, "decode.acc_seg": 64.12297, "aux.loss_seg": 0.32937, "aux.acc_seg": 58.19533, "loss": 0.87815, "time": 0.40425} -{"mode": "train", "epoch": 18, "iter": 11100, "lr": 6e-05, "memory": 16095, "data_time": 0.00782, "decode.loss_seg": 0.54188, "decode.acc_seg": 63.81008, "aux.loss_seg": 0.32173, "aux.acc_seg": 57.84565, "loss": 0.86361, "time": 0.40309} -{"mode": "train", "epoch": 18, "iter": 11150, "lr": 6e-05, "memory": 16095, "data_time": 0.0081, "decode.loss_seg": 0.55895, "decode.acc_seg": 64.48038, "aux.loss_seg": 0.33942, "aux.acc_seg": 58.00986, "loss": 0.89838, "time": 0.40351} -{"mode": "train", "epoch": 18, "iter": 11200, "lr": 6e-05, "memory": 16095, "data_time": 0.00803, "decode.loss_seg": 0.52559, "decode.acc_seg": 64.56042, "aux.loss_seg": 0.32022, "aux.acc_seg": 58.05805, "loss": 0.84581, "time": 0.40349} -{"mode": "train", "epoch": 18, "iter": 11250, "lr": 6e-05, "memory": 16095, "data_time": 0.00804, "decode.loss_seg": 0.54072, "decode.acc_seg": 64.394, "aux.loss_seg": 0.32796, "aux.acc_seg": 58.10729, "loss": 0.86868, "time": 0.40339} -{"mode": "train", "epoch": 18, "iter": 11300, "lr": 6e-05, "memory": 16095, "data_time": 0.00788, "decode.loss_seg": 0.5456, "decode.acc_seg": 63.44886, "aux.loss_seg": 0.32946, "aux.acc_seg": 57.41559, "loss": 0.87505, "time": 0.40349} -{"mode": "train", "epoch": 18, "iter": 11350, "lr": 6e-05, "memory": 16095, "data_time": 0.008, "decode.loss_seg": 0.55616, "decode.acc_seg": 65.30375, "aux.loss_seg": 0.3319, "aux.acc_seg": 59.35052, "loss": 0.88805, "time": 0.40344} -{"mode": "train", "epoch": 19, "iter": 11400, "lr": 6e-05, "memory": 16095, "data_time": 0.16333, "decode.loss_seg": 0.5136, "decode.acc_seg": 65.75359, "aux.loss_seg": 0.31413, "aux.acc_seg": 59.57497, "loss": 0.82773, "time": 0.55894} -{"mode": "train", "epoch": 19, "iter": 11450, "lr": 6e-05, "memory": 16095, "data_time": 0.00724, "decode.loss_seg": 0.52955, "decode.acc_seg": 64.89189, "aux.loss_seg": 0.3286, "aux.acc_seg": 58.30833, "loss": 0.85815, "time": 0.40247} -{"mode": "train", "epoch": 19, "iter": 11500, "lr": 6e-05, "memory": 16095, "data_time": 0.00753, "decode.loss_seg": 0.55181, "decode.acc_seg": 64.36751, "aux.loss_seg": 0.33424, "aux.acc_seg": 57.91876, "loss": 0.88605, "time": 0.40257} -{"mode": "train", "epoch": 19, "iter": 11550, "lr": 6e-05, "memory": 16095, "data_time": 0.00745, "decode.loss_seg": 0.54028, "decode.acc_seg": 64.76095, "aux.loss_seg": 0.33022, "aux.acc_seg": 58.50799, "loss": 0.8705, "time": 0.40214} -{"mode": "train", "epoch": 19, "iter": 11600, "lr": 6e-05, "memory": 16095, "data_time": 0.00762, "decode.loss_seg": 0.53202, "decode.acc_seg": 65.13084, "aux.loss_seg": 0.32745, "aux.acc_seg": 58.38523, "loss": 0.85947, "time": 0.40269} -{"mode": "train", "epoch": 19, "iter": 11650, "lr": 6e-05, "memory": 16095, "data_time": 0.00776, "decode.loss_seg": 0.52917, "decode.acc_seg": 63.83999, "aux.loss_seg": 0.32213, "aux.acc_seg": 57.38308, "loss": 0.8513, "time": 0.40169} -{"mode": "train", "epoch": 19, "iter": 11700, "lr": 6e-05, "memory": 16095, "data_time": 0.00775, "decode.loss_seg": 0.521, "decode.acc_seg": 64.07798, "aux.loss_seg": 0.31616, "aux.acc_seg": 58.08667, "loss": 0.83716, "time": 0.40176} -{"mode": "train", "epoch": 19, "iter": 11750, "lr": 6e-05, "memory": 16095, "data_time": 0.0077, "decode.loss_seg": 0.52836, "decode.acc_seg": 64.05665, "aux.loss_seg": 0.32063, "aux.acc_seg": 57.74275, "loss": 0.84899, "time": 0.40153} -{"mode": "train", "epoch": 19, "iter": 11800, "lr": 6e-05, "memory": 16095, "data_time": 0.00775, "decode.loss_seg": 0.55314, "decode.acc_seg": 64.55228, "aux.loss_seg": 0.33631, "aux.acc_seg": 57.76964, "loss": 0.88945, "time": 0.40137} -{"mode": "train", "epoch": 19, "iter": 11850, "lr": 6e-05, "memory": 16095, "data_time": 0.00769, "decode.loss_seg": 0.52016, "decode.acc_seg": 64.48383, "aux.loss_seg": 0.31454, "aux.acc_seg": 58.63621, "loss": 0.83471, "time": 0.40153} -{"mode": "train", "epoch": 19, "iter": 11900, "lr": 6e-05, "memory": 16095, "data_time": 0.00758, "decode.loss_seg": 0.51625, "decode.acc_seg": 64.30538, "aux.loss_seg": 0.31226, "aux.acc_seg": 57.99659, "loss": 0.82851, "time": 0.40197} -{"mode": "train", "epoch": 19, "iter": 11950, "lr": 6e-05, "memory": 16095, "data_time": 0.00777, "decode.loss_seg": 0.54166, "decode.acc_seg": 65.00664, "aux.loss_seg": 0.33128, "aux.acc_seg": 58.53408, "loss": 0.87293, "time": 0.4016} -{"mode": "train", "epoch": 20, "iter": 12000, "lr": 6e-05, "memory": 16095, "data_time": 0.16831, "decode.loss_seg": 0.53223, "decode.acc_seg": 63.62383, "aux.loss_seg": 0.32317, "aux.acc_seg": 57.28545, "loss": 0.8554, "time": 0.56781} -{"mode": "train", "epoch": 20, "iter": 12050, "lr": 6e-05, "memory": 16095, "data_time": 0.01027, "decode.loss_seg": 0.50631, "decode.acc_seg": 65.09341, "aux.loss_seg": 0.31723, "aux.acc_seg": 58.47517, "loss": 0.82354, "time": 0.40591} -{"mode": "train", "epoch": 20, "iter": 12100, "lr": 6e-05, "memory": 16095, "data_time": 0.01009, "decode.loss_seg": 0.51234, "decode.acc_seg": 65.7886, "aux.loss_seg": 0.31754, "aux.acc_seg": 59.30195, "loss": 0.82987, "time": 0.40567} -{"mode": "train", "epoch": 20, "iter": 12150, "lr": 6e-05, "memory": 16095, "data_time": 0.01005, "decode.loss_seg": 0.50288, "decode.acc_seg": 65.24166, "aux.loss_seg": 0.30955, "aux.acc_seg": 58.94338, "loss": 0.81243, "time": 0.40571} -{"mode": "train", "epoch": 20, "iter": 12200, "lr": 6e-05, "memory": 16095, "data_time": 0.00979, "decode.loss_seg": 0.53125, "decode.acc_seg": 63.74375, "aux.loss_seg": 0.32502, "aux.acc_seg": 57.16001, "loss": 0.85627, "time": 0.4056} -{"mode": "train", "epoch": 20, "iter": 12250, "lr": 6e-05, "memory": 16095, "data_time": 0.0098, "decode.loss_seg": 0.50878, "decode.acc_seg": 65.36973, "aux.loss_seg": 0.31442, "aux.acc_seg": 58.91589, "loss": 0.8232, "time": 0.40541} -{"mode": "train", "epoch": 20, "iter": 12300, "lr": 6e-05, "memory": 16095, "data_time": 0.00999, "decode.loss_seg": 0.53546, "decode.acc_seg": 64.32945, "aux.loss_seg": 0.32718, "aux.acc_seg": 57.97725, "loss": 0.86264, "time": 0.40547} -{"mode": "train", "epoch": 20, "iter": 12350, "lr": 6e-05, "memory": 16095, "data_time": 0.01023, "decode.loss_seg": 0.51146, "decode.acc_seg": 64.83277, "aux.loss_seg": 0.31457, "aux.acc_seg": 58.61867, "loss": 0.82603, "time": 0.40589} -{"mode": "train", "epoch": 20, "iter": 12400, "lr": 6e-05, "memory": 16095, "data_time": 0.00995, "decode.loss_seg": 0.52337, "decode.acc_seg": 64.46467, "aux.loss_seg": 0.31548, "aux.acc_seg": 58.3861, "loss": 0.83886, "time": 0.40506} -{"mode": "train", "epoch": 20, "iter": 12450, "lr": 6e-05, "memory": 16095, "data_time": 0.00994, "decode.loss_seg": 0.53605, "decode.acc_seg": 64.90418, "aux.loss_seg": 0.32536, "aux.acc_seg": 58.50263, "loss": 0.86141, "time": 0.40508} -{"mode": "train", "epoch": 20, "iter": 12500, "lr": 6e-05, "memory": 16095, "data_time": 0.01087, "decode.loss_seg": 0.52811, "decode.acc_seg": 65.37746, "aux.loss_seg": 0.32344, "aux.acc_seg": 58.76015, "loss": 0.85155, "time": 0.40604} -{"mode": "train", "epoch": 20, "iter": 12550, "lr": 6e-05, "memory": 16095, "data_time": 0.01088, "decode.loss_seg": 0.54863, "decode.acc_seg": 63.31909, "aux.loss_seg": 0.3238, "aux.acc_seg": 57.52095, "loss": 0.87242, "time": 0.40549} -{"mode": "train", "epoch": 20, "iter": 12600, "lr": 6e-05, "memory": 16095, "data_time": 0.01062, "decode.loss_seg": 0.54401, "decode.acc_seg": 64.15271, "aux.loss_seg": 0.32132, "aux.acc_seg": 58.31783, "loss": 0.86533, "time": 0.40487} -{"mode": "train", "epoch": 21, "iter": 12650, "lr": 6e-05, "memory": 16095, "data_time": 0.15984, "decode.loss_seg": 0.51845, "decode.acc_seg": 64.6851, "aux.loss_seg": 0.31773, "aux.acc_seg": 58.21142, "loss": 0.83619, "time": 0.56364} -{"mode": "train", "epoch": 21, "iter": 12700, "lr": 6e-05, "memory": 16095, "data_time": 0.00835, "decode.loss_seg": 0.52007, "decode.acc_seg": 64.48377, "aux.loss_seg": 0.31393, "aux.acc_seg": 58.45852, "loss": 0.834, "time": 0.40451} -{"mode": "train", "epoch": 21, "iter": 12750, "lr": 6e-05, "memory": 16095, "data_time": 0.0081, "decode.loss_seg": 0.50728, "decode.acc_seg": 65.27989, "aux.loss_seg": 0.3133, "aux.acc_seg": 59.00729, "loss": 0.82058, "time": 0.40394} -{"mode": "train", "epoch": 21, "iter": 12800, "lr": 6e-05, "memory": 16095, "data_time": 0.00799, "decode.loss_seg": 0.51196, "decode.acc_seg": 65.26038, "aux.loss_seg": 0.3176, "aux.acc_seg": 58.5706, "loss": 0.82956, "time": 0.40378} -{"mode": "train", "epoch": 21, "iter": 12850, "lr": 6e-05, "memory": 16095, "data_time": 0.0084, "decode.loss_seg": 0.51953, "decode.acc_seg": 65.50977, "aux.loss_seg": 0.31816, "aux.acc_seg": 59.03756, "loss": 0.83769, "time": 0.40338} -{"mode": "train", "epoch": 21, "iter": 12900, "lr": 6e-05, "memory": 16095, "data_time": 0.00847, "decode.loss_seg": 0.51475, "decode.acc_seg": 65.16708, "aux.loss_seg": 0.31211, "aux.acc_seg": 59.01799, "loss": 0.82686, "time": 0.40322} -{"mode": "train", "epoch": 21, "iter": 12950, "lr": 6e-05, "memory": 16095, "data_time": 0.00856, "decode.loss_seg": 0.50932, "decode.acc_seg": 64.97349, "aux.loss_seg": 0.30868, "aux.acc_seg": 58.82581, "loss": 0.818, "time": 0.40308} -{"mode": "train", "epoch": 21, "iter": 13000, "lr": 6e-05, "memory": 16095, "data_time": 0.00843, "decode.loss_seg": 0.52688, "decode.acc_seg": 63.82706, "aux.loss_seg": 0.31603, "aux.acc_seg": 58.14145, "loss": 0.8429, "time": 0.40291} -{"mode": "train", "epoch": 21, "iter": 13050, "lr": 6e-05, "memory": 16095, "data_time": 0.00799, "decode.loss_seg": 0.50621, "decode.acc_seg": 64.84046, "aux.loss_seg": 0.30639, "aux.acc_seg": 58.56102, "loss": 0.8126, "time": 0.40311} -{"mode": "train", "epoch": 21, "iter": 13100, "lr": 6e-05, "memory": 16095, "data_time": 0.008, "decode.loss_seg": 0.50793, "decode.acc_seg": 65.01917, "aux.loss_seg": 0.30878, "aux.acc_seg": 58.93412, "loss": 0.81671, "time": 0.4036} -{"mode": "train", "epoch": 21, "iter": 13150, "lr": 6e-05, "memory": 16095, "data_time": 0.00801, "decode.loss_seg": 0.51531, "decode.acc_seg": 64.9338, "aux.loss_seg": 0.31415, "aux.acc_seg": 58.77243, "loss": 0.82946, "time": 0.40373} -{"mode": "train", "epoch": 21, "iter": 13200, "lr": 6e-05, "memory": 16095, "data_time": 0.00851, "decode.loss_seg": 0.5239, "decode.acc_seg": 63.89151, "aux.loss_seg": 0.30811, "aux.acc_seg": 57.90282, "loss": 0.83201, "time": 0.40303} -{"mode": "train", "epoch": 21, "iter": 13250, "lr": 6e-05, "memory": 16095, "data_time": 0.00865, "decode.loss_seg": 0.52794, "decode.acc_seg": 64.67604, "aux.loss_seg": 0.31764, "aux.acc_seg": 58.61249, "loss": 0.84558, "time": 0.40338} -{"mode": "train", "epoch": 22, "iter": 13300, "lr": 6e-05, "memory": 16095, "data_time": 0.16579, "decode.loss_seg": 0.49961, "decode.acc_seg": 66.03681, "aux.loss_seg": 0.31254, "aux.acc_seg": 59.71099, "loss": 0.81215, "time": 0.56231} -{"mode": "train", "epoch": 22, "iter": 13350, "lr": 5e-05, "memory": 16095, "data_time": 0.00891, "decode.loss_seg": 0.48374, "decode.acc_seg": 64.54525, "aux.loss_seg": 0.30261, "aux.acc_seg": 58.08452, "loss": 0.78634, "time": 0.40346} -{"mode": "train", "epoch": 22, "iter": 13400, "lr": 5e-05, "memory": 16095, "data_time": 0.00909, "decode.loss_seg": 0.4814, "decode.acc_seg": 65.92423, "aux.loss_seg": 0.30418, "aux.acc_seg": 59.52317, "loss": 0.78558, "time": 0.40405} -{"mode": "train", "epoch": 22, "iter": 13450, "lr": 5e-05, "memory": 16095, "data_time": 0.0089, "decode.loss_seg": 0.50012, "decode.acc_seg": 64.53413, "aux.loss_seg": 0.30802, "aux.acc_seg": 58.16728, "loss": 0.80814, "time": 0.404} -{"mode": "train", "epoch": 22, "iter": 13500, "lr": 5e-05, "memory": 16095, "data_time": 0.00898, "decode.loss_seg": 0.51081, "decode.acc_seg": 64.84359, "aux.loss_seg": 0.31741, "aux.acc_seg": 58.3407, "loss": 0.82822, "time": 0.40409} -{"mode": "train", "epoch": 22, "iter": 13550, "lr": 5e-05, "memory": 16095, "data_time": 0.00966, "decode.loss_seg": 0.51333, "decode.acc_seg": 65.71796, "aux.loss_seg": 0.32214, "aux.acc_seg": 58.91627, "loss": 0.83547, "time": 0.40448} -{"mode": "train", "epoch": 22, "iter": 13600, "lr": 5e-05, "memory": 16095, "data_time": 0.00975, "decode.loss_seg": 0.53437, "decode.acc_seg": 64.9271, "aux.loss_seg": 0.31683, "aux.acc_seg": 59.18174, "loss": 0.85121, "time": 0.40477} -{"mode": "train", "epoch": 22, "iter": 13650, "lr": 5e-05, "memory": 16095, "data_time": 0.00952, "decode.loss_seg": 0.51805, "decode.acc_seg": 64.44733, "aux.loss_seg": 0.31292, "aux.acc_seg": 58.38792, "loss": 0.83097, "time": 0.40441} -{"mode": "train", "epoch": 22, "iter": 13700, "lr": 5e-05, "memory": 16095, "data_time": 0.00918, "decode.loss_seg": 0.49257, "decode.acc_seg": 64.9924, "aux.loss_seg": 0.30131, "aux.acc_seg": 58.87088, "loss": 0.79388, "time": 0.40441} -{"mode": "train", "epoch": 22, "iter": 13750, "lr": 5e-05, "memory": 16095, "data_time": 0.00945, "decode.loss_seg": 0.49919, "decode.acc_seg": 66.47465, "aux.loss_seg": 0.3001, "aux.acc_seg": 60.4104, "loss": 0.7993, "time": 0.40476} -{"mode": "train", "epoch": 22, "iter": 13800, "lr": 5e-05, "memory": 16095, "data_time": 0.00958, "decode.loss_seg": 0.51514, "decode.acc_seg": 65.31112, "aux.loss_seg": 0.31548, "aux.acc_seg": 58.70648, "loss": 0.83062, "time": 0.40477} -{"mode": "train", "epoch": 22, "iter": 13850, "lr": 5e-05, "memory": 16095, "data_time": 0.00942, "decode.loss_seg": 0.51506, "decode.acc_seg": 64.17508, "aux.loss_seg": 0.31202, "aux.acc_seg": 57.93546, "loss": 0.82708, "time": 0.40406} -{"mode": "train", "epoch": 23, "iter": 13900, "lr": 5e-05, "memory": 16095, "data_time": 0.17449, "decode.loss_seg": 0.50392, "decode.acc_seg": 65.34, "aux.loss_seg": 0.30245, "aux.acc_seg": 59.25916, "loss": 0.80637, "time": 0.5689} -{"mode": "train", "epoch": 23, "iter": 13950, "lr": 5e-05, "memory": 16095, "data_time": 0.00902, "decode.loss_seg": 0.47967, "decode.acc_seg": 65.42132, "aux.loss_seg": 0.29994, "aux.acc_seg": 59.06978, "loss": 0.77961, "time": 0.40282} -{"mode": "train", "epoch": 23, "iter": 14000, "lr": 5e-05, "memory": 16095, "data_time": 0.00919, "decode.loss_seg": 0.50372, "decode.acc_seg": 65.70442, "aux.loss_seg": 0.31104, "aux.acc_seg": 59.25935, "loss": 0.81475, "time": 0.40298} -{"mode": "train", "epoch": 23, "iter": 14050, "lr": 5e-05, "memory": 16095, "data_time": 0.00908, "decode.loss_seg": 0.49609, "decode.acc_seg": 65.86036, "aux.loss_seg": 0.30711, "aux.acc_seg": 59.40352, "loss": 0.80321, "time": 0.40322} -{"mode": "train", "epoch": 23, "iter": 14100, "lr": 5e-05, "memory": 16095, "data_time": 0.00898, "decode.loss_seg": 0.51248, "decode.acc_seg": 65.31795, "aux.loss_seg": 0.31557, "aux.acc_seg": 59.07438, "loss": 0.82805, "time": 0.40322} -{"mode": "train", "epoch": 23, "iter": 14150, "lr": 5e-05, "memory": 16095, "data_time": 0.00854, "decode.loss_seg": 0.48933, "decode.acc_seg": 65.79821, "aux.loss_seg": 0.30797, "aux.acc_seg": 59.28155, "loss": 0.7973, "time": 0.40265} -{"mode": "train", "epoch": 23, "iter": 14200, "lr": 5e-05, "memory": 16095, "data_time": 0.00867, "decode.loss_seg": 0.49833, "decode.acc_seg": 64.4345, "aux.loss_seg": 0.30309, "aux.acc_seg": 58.52992, "loss": 0.80142, "time": 0.4032} -{"mode": "train", "epoch": 23, "iter": 14250, "lr": 5e-05, "memory": 16095, "data_time": 0.00848, "decode.loss_seg": 0.50566, "decode.acc_seg": 66.18104, "aux.loss_seg": 0.31091, "aux.acc_seg": 60.0278, "loss": 0.81657, "time": 0.40284} -{"mode": "train", "epoch": 23, "iter": 14300, "lr": 5e-05, "memory": 16095, "data_time": 0.00825, "decode.loss_seg": 0.49778, "decode.acc_seg": 66.06418, "aux.loss_seg": 0.3023, "aux.acc_seg": 60.06108, "loss": 0.80008, "time": 0.40326} -{"mode": "train", "epoch": 23, "iter": 14350, "lr": 5e-05, "memory": 16095, "data_time": 0.0079, "decode.loss_seg": 0.52043, "decode.acc_seg": 64.79807, "aux.loss_seg": 0.3149, "aux.acc_seg": 58.68578, "loss": 0.83533, "time": 0.40321} -{"mode": "train", "epoch": 23, "iter": 14400, "lr": 5e-05, "memory": 16095, "data_time": 0.00799, "decode.loss_seg": 0.507, "decode.acc_seg": 65.38399, "aux.loss_seg": 0.31038, "aux.acc_seg": 59.11833, "loss": 0.81738, "time": 0.40313} -{"mode": "train", "epoch": 23, "iter": 14450, "lr": 5e-05, "memory": 16095, "data_time": 0.00785, "decode.loss_seg": 0.51029, "decode.acc_seg": 64.82134, "aux.loss_seg": 0.30712, "aux.acc_seg": 58.80136, "loss": 0.81741, "time": 0.40316} -{"mode": "train", "epoch": 23, "iter": 14500, "lr": 5e-05, "memory": 16095, "data_time": 0.00855, "decode.loss_seg": 0.50326, "decode.acc_seg": 65.50496, "aux.loss_seg": 0.30928, "aux.acc_seg": 59.09844, "loss": 0.81254, "time": 0.40237} -{"mode": "train", "epoch": 24, "iter": 14550, "lr": 5e-05, "memory": 16095, "data_time": 0.17457, "decode.loss_seg": 0.50853, "decode.acc_seg": 65.14137, "aux.loss_seg": 0.31746, "aux.acc_seg": 58.63095, "loss": 0.82599, "time": 0.57306} -{"mode": "train", "epoch": 24, "iter": 14600, "lr": 5e-05, "memory": 16095, "data_time": 0.00895, "decode.loss_seg": 0.50582, "decode.acc_seg": 65.74071, "aux.loss_seg": 0.30619, "aux.acc_seg": 59.73416, "loss": 0.81201, "time": 0.40478} -{"mode": "train", "epoch": 24, "iter": 14650, "lr": 5e-05, "memory": 16095, "data_time": 0.00928, "decode.loss_seg": 0.48553, "decode.acc_seg": 66.35031, "aux.loss_seg": 0.30583, "aux.acc_seg": 59.89695, "loss": 0.79136, "time": 0.40508} -{"mode": "train", "epoch": 24, "iter": 14700, "lr": 5e-05, "memory": 16095, "data_time": 0.00939, "decode.loss_seg": 0.49993, "decode.acc_seg": 65.46032, "aux.loss_seg": 0.30368, "aux.acc_seg": 59.54057, "loss": 0.80361, "time": 0.4053} -{"mode": "train", "epoch": 24, "iter": 14750, "lr": 5e-05, "memory": 16095, "data_time": 0.00937, "decode.loss_seg": 0.48366, "decode.acc_seg": 66.20234, "aux.loss_seg": 0.29679, "aux.acc_seg": 60.21556, "loss": 0.78045, "time": 0.40545} -{"mode": "train", "epoch": 24, "iter": 14800, "lr": 5e-05, "memory": 16095, "data_time": 0.00896, "decode.loss_seg": 0.48672, "decode.acc_seg": 64.71307, "aux.loss_seg": 0.29868, "aux.acc_seg": 58.63644, "loss": 0.7854, "time": 0.40506} -{"mode": "train", "epoch": 24, "iter": 14850, "lr": 5e-05, "memory": 16095, "data_time": 0.0086, "decode.loss_seg": 0.48511, "decode.acc_seg": 66.40386, "aux.loss_seg": 0.3024, "aux.acc_seg": 60.15244, "loss": 0.78752, "time": 0.4053} -{"mode": "train", "epoch": 24, "iter": 14900, "lr": 5e-05, "memory": 16095, "data_time": 0.00882, "decode.loss_seg": 0.49746, "decode.acc_seg": 65.92317, "aux.loss_seg": 0.30642, "aux.acc_seg": 59.71961, "loss": 0.80389, "time": 0.40524} -{"mode": "train", "epoch": 24, "iter": 14950, "lr": 5e-05, "memory": 16095, "data_time": 0.00883, "decode.loss_seg": 0.48194, "decode.acc_seg": 65.39756, "aux.loss_seg": 0.30498, "aux.acc_seg": 58.71721, "loss": 0.78691, "time": 0.40545} -{"mode": "train", "epoch": 24, "iter": 15000, "lr": 5e-05, "memory": 16095, "data_time": 0.0087, "decode.loss_seg": 0.49159, "decode.acc_seg": 65.15941, "aux.loss_seg": 0.3015, "aux.acc_seg": 58.99107, "loss": 0.79309, "time": 0.40499} -{"mode": "train", "epoch": 24, "iter": 15050, "lr": 5e-05, "memory": 16095, "data_time": 0.00868, "decode.loss_seg": 0.49256, "decode.acc_seg": 65.41945, "aux.loss_seg": 0.29768, "aux.acc_seg": 59.41842, "loss": 0.79023, "time": 0.40526} -{"mode": "train", "epoch": 24, "iter": 15100, "lr": 5e-05, "memory": 16095, "data_time": 0.00899, "decode.loss_seg": 0.49055, "decode.acc_seg": 65.95484, "aux.loss_seg": 0.29938, "aux.acc_seg": 59.84172, "loss": 0.78992, "time": 0.40554} -{"mode": "train", "epoch": 25, "iter": 15150, "lr": 5e-05, "memory": 16095, "data_time": 0.16403, "decode.loss_seg": 0.49666, "decode.acc_seg": 65.33038, "aux.loss_seg": 0.30324, "aux.acc_seg": 58.99368, "loss": 0.79991, "time": 0.56991} -{"mode": "train", "epoch": 25, "iter": 15200, "lr": 5e-05, "memory": 16095, "data_time": 0.00745, "decode.loss_seg": 0.48467, "decode.acc_seg": 66.01231, "aux.loss_seg": 0.31122, "aux.acc_seg": 59.24397, "loss": 0.79589, "time": 0.40278} -{"mode": "train", "epoch": 25, "iter": 15250, "lr": 5e-05, "memory": 16095, "data_time": 0.00736, "decode.loss_seg": 0.48458, "decode.acc_seg": 65.48827, "aux.loss_seg": 0.29849, "aux.acc_seg": 59.1878, "loss": 0.78308, "time": 0.40228} -{"mode": "train", "epoch": 25, "iter": 15300, "lr": 5e-05, "memory": 16095, "data_time": 0.00778, "decode.loss_seg": 0.48219, "decode.acc_seg": 65.89982, "aux.loss_seg": 0.29719, "aux.acc_seg": 59.54013, "loss": 0.77938, "time": 0.40259} -{"mode": "train", "epoch": 25, "iter": 15350, "lr": 5e-05, "memory": 16095, "data_time": 0.00778, "decode.loss_seg": 0.49292, "decode.acc_seg": 66.64042, "aux.loss_seg": 0.30691, "aux.acc_seg": 60.01638, "loss": 0.79984, "time": 0.40276} -{"mode": "train", "epoch": 25, "iter": 15400, "lr": 5e-05, "memory": 16095, "data_time": 0.00789, "decode.loss_seg": 0.49373, "decode.acc_seg": 66.04066, "aux.loss_seg": 0.30588, "aux.acc_seg": 59.62705, "loss": 0.79961, "time": 0.40356} -{"mode": "train", "epoch": 25, "iter": 15450, "lr": 5e-05, "memory": 16095, "data_time": 0.00795, "decode.loss_seg": 0.48281, "decode.acc_seg": 66.85392, "aux.loss_seg": 0.30106, "aux.acc_seg": 60.41666, "loss": 0.78387, "time": 0.40329} -{"mode": "train", "epoch": 25, "iter": 15500, "lr": 5e-05, "memory": 16095, "data_time": 0.00766, "decode.loss_seg": 0.48875, "decode.acc_seg": 65.96812, "aux.loss_seg": 0.30109, "aux.acc_seg": 59.44096, "loss": 0.78984, "time": 0.40273} -{"mode": "train", "epoch": 25, "iter": 15550, "lr": 5e-05, "memory": 16095, "data_time": 0.00763, "decode.loss_seg": 0.48902, "decode.acc_seg": 66.52451, "aux.loss_seg": 0.30555, "aux.acc_seg": 60.02229, "loss": 0.79457, "time": 0.40266} -{"mode": "train", "epoch": 25, "iter": 15600, "lr": 5e-05, "memory": 16095, "data_time": 0.00785, "decode.loss_seg": 0.4977, "decode.acc_seg": 65.79292, "aux.loss_seg": 0.30762, "aux.acc_seg": 59.39891, "loss": 0.80532, "time": 0.40273} -{"mode": "train", "epoch": 25, "iter": 15650, "lr": 5e-05, "memory": 16095, "data_time": 0.00777, "decode.loss_seg": 0.4839, "decode.acc_seg": 65.94036, "aux.loss_seg": 0.29733, "aux.acc_seg": 59.586, "loss": 0.78124, "time": 0.40273} -{"mode": "train", "epoch": 25, "iter": 15700, "lr": 5e-05, "memory": 16095, "data_time": 0.00771, "decode.loss_seg": 0.47502, "decode.acc_seg": 66.43801, "aux.loss_seg": 0.29745, "aux.acc_seg": 60.00575, "loss": 0.77247, "time": 0.40274} -{"mode": "train", "epoch": 25, "iter": 15750, "lr": 5e-05, "memory": 16095, "data_time": 0.00768, "decode.loss_seg": 0.49487, "decode.acc_seg": 65.54579, "aux.loss_seg": 0.29938, "aux.acc_seg": 59.33461, "loss": 0.79425, "time": 0.40269} -{"mode": "train", "epoch": 26, "iter": 15800, "lr": 5e-05, "memory": 16095, "data_time": 0.17591, "decode.loss_seg": 0.47958, "decode.acc_seg": 65.26611, "aux.loss_seg": 0.29531, "aux.acc_seg": 59.42418, "loss": 0.77489, "time": 0.57188} -{"mode": "train", "epoch": 26, "iter": 15850, "lr": 5e-05, "memory": 16095, "data_time": 0.00878, "decode.loss_seg": 0.46428, "decode.acc_seg": 66.8194, "aux.loss_seg": 0.29525, "aux.acc_seg": 60.47241, "loss": 0.75953, "time": 0.40533} -{"mode": "train", "epoch": 26, "iter": 15900, "lr": 5e-05, "memory": 16095, "data_time": 0.0093, "decode.loss_seg": 0.45521, "decode.acc_seg": 66.14954, "aux.loss_seg": 0.28756, "aux.acc_seg": 59.86323, "loss": 0.74277, "time": 0.40555} -{"mode": "train", "epoch": 26, "iter": 15950, "lr": 5e-05, "memory": 16095, "data_time": 0.00947, "decode.loss_seg": 0.4686, "decode.acc_seg": 65.81746, "aux.loss_seg": 0.29329, "aux.acc_seg": 59.52662, "loss": 0.76189, "time": 0.40548} -{"mode": "val", "epoch": 26, "iter": 16000, "lr": 5e-05, "mIoU": 0.4077, "mAcc": 0.53, "aAcc": 0.7942, "IoU.wall": 0.7269, "IoU.building": 0.8057, "IoU.sky": 0.9353, "IoU.floor": 0.7802, "IoU.tree": 0.7216, "IoU.ceiling": 0.8022, "IoU.road": 0.7878, "IoU.bed ": 0.7997, "IoU.windowpane": 0.5483, "IoU.grass": 0.635, "IoU.cabinet": 0.5294, "IoU.sidewalk": 0.5753, "IoU.person": 0.7407, "IoU.earth": 0.3406, "IoU.door": 0.3645, "IoU.table": 0.4723, "IoU.mountain": 0.5524, "IoU.plant": 0.4882, "IoU.curtain": 0.6667, "IoU.chair": 0.4666, "IoU.car": 0.8039, "IoU.water": 0.4749, "IoU.painting": 0.6624, "IoU.sofa": 0.5261, "IoU.shelf": 0.3827, "IoU.house": 0.5095, "IoU.sea": 0.5659, "IoU.mirror": 0.5192, "IoU.rug": 0.6188, "IoU.field": 0.2838, "IoU.armchair": 0.293, "IoU.seat": 0.6, "IoU.fence": 0.3841, "IoU.desk": 0.3451, "IoU.rock": 0.515, "IoU.wardrobe": 0.4848, "IoU.lamp": 0.4895, "IoU.bathtub": 0.6116, "IoU.railing": 0.3029, "IoU.cushion": 0.4031, "IoU.base": 0.2304, "IoU.box": 0.17, "IoU.column": 0.3537, "IoU.signboard": 0.3216, "IoU.chest of drawers": 0.378, "IoU.counter": 0.288, "IoU.sand": 0.32, "IoU.sink": 0.5616, "IoU.skyscraper": 0.5858, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5147, "IoU.grandstand": 0.2823, "IoU.path": 0.2123, "IoU.stairs": 0.2237, "IoU.runway": 0.6679, "IoU.case": 0.4207, "IoU.pool table": 0.9017, "IoU.pillow": 0.45, "IoU.screen door": 0.5902, "IoU.stairway": 0.2947, "IoU.river": 0.1294, "IoU.bridge": 0.5865, "IoU.bookcase": 0.3552, "IoU.blind": NaN, "IoU.coffee table": 0.4996, "IoU.toilet": 0.7102, "IoU.flower": 0.3258, "IoU.book": 0.3994, "IoU.hill": 0.0688, "IoU.bench": 0.3695, "IoU.countertop": 0.4833, "IoU.stove": 0.5429, "IoU.palm": 0.4212, "IoU.kitchen island": 0.2382, "IoU.computer": 0.5626, "IoU.swivel chair": 0.3713, "IoU.boat": 0.5571, "IoU.bar": 0.3623, "IoU.arcade machine": 0.7635, "IoU.hovel": 0.1141, "IoU.bus": 0.7933, "IoU.towel": 0.5224, "IoU.light": 0.4012, "IoU.truck": 0.2629, "IoU.tower": 0.3538, "IoU.chandelier": 0.5793, "IoU.awning": 0.2462, "IoU.streetlight": 0.1548, "IoU.booth": 0.4812, "IoU.television receiver": NaN, "IoU.airplane": 0.5079, "IoU.dirt track": 0.0693, "IoU.apparel": 0.2611, "IoU.pole": 0.1279, "IoU.land": 0.0022, "IoU.bannister": 0.0623, "IoU.escalator": 0.3943, "IoU.ottoman": 0.2728, "IoU.bottle": NaN, "IoU.buffet": 0.379, "IoU.poster": 0.1227, "IoU.stage": 0.0842, "IoU.van": 0.2084, "IoU.ship": 0.6235, "IoU.fountain": 0.2171, "IoU.conveyer belt": 0.6351, "IoU.canopy": 0.2296, "IoU.washer": 0.6691, "IoU.plaything": 0.1369, "IoU.swimming pool": 0.678, "IoU.stool": 0.2004, "IoU.barrel": 0.4678, "IoU.basket": 0.1477, "IoU.waterfall": 0.4942, "IoU.tent": 0.9288, "IoU.bag": 0.0333, "IoU.minibike": 0.6585, "IoU.cradle": NaN, "IoU.oven": 0.1003, "IoU.ball": 0.372, "IoU.food": 0.522, "IoU.step": 0.0005, "IoU.tank": 0.4521, "IoU.trade name": 0.2203, "IoU.microwave": 0.4704, "IoU.pot": 0.3939, "IoU.animal": NaN, "IoU.bicycle": 0.4829, "IoU.lake": 0.0, "IoU.dishwasher": 0.3963, "IoU.screen": 0.5042, "IoU.blanket": 0.0127, "IoU.sculpture": 0.4484, "IoU.hood": 0.4037, "IoU.sconce": 0.1532, "IoU.vase": 0.2407, "IoU.traffic light": 0.149, "IoU.tray": 0.0324, "IoU.ashcan": 0.2892, "IoU.fan": 0.4188, "IoU.pier": 0.3501, "IoU.crt screen": 0.0241, "IoU.plate": 0.4331, "IoU.monitor": 0.0158, "IoU.bulletin board": 0.2947, "IoU.shower": 0.0, "IoU.radiator": 0.4472, "IoU.glass": 0.0816, "IoU.clock": 0.1741, "IoU.flag": 0.2773, "Acc.wall": 0.8437, "Acc.building": 0.9183, "Acc.sky": 0.9669, "Acc.floor": 0.8711, "Acc.tree": 0.8481, "Acc.ceiling": 0.9004, "Acc.road": 0.8633, "Acc.bed ": 0.9548, "Acc.windowpane": 0.7014, "Acc.grass": 0.7687, "Acc.cabinet": 0.6577, "Acc.sidewalk": 0.7867, "Acc.person": 0.8946, "Acc.earth": 0.4773, "Acc.door": 0.4972, "Acc.table": 0.6642, "Acc.mountain": 0.645, "Acc.plant": 0.6124, "Acc.curtain": 0.8275, "Acc.chair": 0.6248, "Acc.car": 0.9033, "Acc.water": 0.6686, "Acc.painting": 0.8205, "Acc.sofa": 0.7298, "Acc.shelf": 0.578, "Acc.house": 0.7934, "Acc.sea": 0.7727, "Acc.mirror": 0.6158, "Acc.rug": 0.72, "Acc.field": 0.5913, "Acc.armchair": 0.4878, "Acc.seat": 0.7454, "Acc.fence": 0.5499, "Acc.desk": 0.6336, "Acc.rock": 0.7413, "Acc.wardrobe": 0.6816, "Acc.lamp": 0.6307, "Acc.bathtub": 0.7787, "Acc.railing": 0.375, "Acc.cushion": 0.4778, "Acc.base": 0.3574, "Acc.box": 0.206, "Acc.column": 0.5617, "Acc.signboard": 0.4721, "Acc.chest of drawers": 0.4935, "Acc.counter": 0.392, "Acc.sand": 0.4845, "Acc.sink": 0.716, "Acc.skyscraper": 0.7427, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7514, "Acc.grandstand": 0.6882, "Acc.path": 0.3679, "Acc.stairs": 0.2505, "Acc.runway": 0.823, "Acc.case": 0.4913, "Acc.pool table": 0.9457, "Acc.pillow": 0.5832, "Acc.screen door": 0.7204, "Acc.stairway": 0.4313, "Acc.river": 0.3492, "Acc.bridge": 0.7416, "Acc.bookcase": 0.501, "Acc.blind": NaN, "Acc.coffee table": 0.7379, "Acc.toilet": 0.8633, "Acc.flower": 0.445, "Acc.book": 0.548, "Acc.hill": 0.0945, "Acc.bench": 0.4288, "Acc.countertop": 0.6442, "Acc.stove": 0.734, "Acc.palm": 0.6615, "Acc.kitchen island": 0.5207, "Acc.computer": 0.6726, "Acc.swivel chair": 0.6372, "Acc.boat": 0.7394, "Acc.bar": 0.5227, "Acc.arcade machine": 0.8652, "Acc.hovel": 0.1308, "Acc.bus": 0.8622, "Acc.towel": 0.6794, "Acc.light": 0.4434, "Acc.truck": 0.3764, "Acc.tower": 0.415, "Acc.chandelier": 0.7257, "Acc.awning": 0.3218, "Acc.streetlight": 0.1915, "Acc.booth": 0.576, "Acc.television receiver": NaN, "Acc.airplane": 0.6099, "Acc.dirt track": 0.2401, "Acc.apparel": 0.3602, "Acc.pole": 0.1685, "Acc.land": 0.0024, "Acc.bannister": 0.0733, "Acc.escalator": 0.5924, "Acc.ottoman": 0.4615, "Acc.bottle": NaN, "Acc.buffet": 0.4976, "Acc.poster": 0.1368, "Acc.stage": 0.1768, "Acc.van": 0.2318, "Acc.ship": 0.9543, "Acc.fountain": 0.2374, "Acc.conveyer belt": 0.8909, "Acc.canopy": 0.3343, "Acc.washer": 0.7435, "Acc.plaything": 0.1786, "Acc.swimming pool": 0.7102, "Acc.stool": 0.2612, "Acc.barrel": 0.6403, "Acc.basket": 0.2421, "Acc.waterfall": 0.6935, "Acc.tent": 0.9857, "Acc.bag": 0.0346, "Acc.minibike": 0.8388, "Acc.cradle": NaN, "Acc.oven": 0.1721, "Acc.ball": 0.4388, "Acc.food": 0.6103, "Acc.step": 0.0005, "Acc.tank": 0.5761, "Acc.trade name": 0.2507, "Acc.microwave": 0.5556, "Acc.pot": 0.4635, "Acc.animal": NaN, "Acc.bicycle": 0.6761, "Acc.lake": 0.0, "Acc.dishwasher": 0.55, "Acc.screen": 0.9189, "Acc.blanket": 0.013, "Acc.sculpture": 0.5199, "Acc.hood": 0.4563, "Acc.sconce": 0.1624, "Acc.vase": 0.3649, "Acc.traffic light": 0.2607, "Acc.tray": 0.0437, "Acc.ashcan": 0.3746, "Acc.fan": 0.5278, "Acc.pier": 0.4478, "Acc.crt screen": 0.0758, "Acc.plate": 0.5763, "Acc.monitor": 0.0225, "Acc.bulletin board": 0.325, "Acc.shower": 0.0, "Acc.radiator": 0.5181, "Acc.glass": 0.0922, "Acc.clock": 0.1918, "Acc.flag": 0.3153} -{"mode": "train", "epoch": 26, "iter": 16050, "lr": 5e-05, "memory": 22018, "data_time": 3.78491, "decode.loss_seg": 0.47419, "decode.acc_seg": 66.59847, "aux.loss_seg": 0.29693, "aux.acc_seg": 60.12601, "loss": 0.77112, "time": 4.1821} -{"mode": "train", "epoch": 26, "iter": 16100, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.46486, "decode.acc_seg": 66.5722, "aux.loss_seg": 0.29662, "aux.acc_seg": 59.74238, "loss": 0.76148, "time": 0.40469} -{"mode": "train", "epoch": 26, "iter": 16150, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.48407, "decode.acc_seg": 64.88004, "aux.loss_seg": 0.29632, "aux.acc_seg": 59.065, "loss": 0.78038, "time": 0.40475} -{"mode": "train", "epoch": 26, "iter": 16200, "lr": 5e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.51334, "decode.acc_seg": 64.40711, "aux.loss_seg": 0.30948, "aux.acc_seg": 58.67082, "loss": 0.82282, "time": 0.40515} -{"mode": "train", "epoch": 26, "iter": 16250, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.49074, "decode.acc_seg": 65.85584, "aux.loss_seg": 0.29908, "aux.acc_seg": 59.80439, "loss": 0.78982, "time": 0.40457} -{"mode": "train", "epoch": 26, "iter": 16300, "lr": 5e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.49273, "decode.acc_seg": 65.92032, "aux.loss_seg": 0.29926, "aux.acc_seg": 59.73167, "loss": 0.79199, "time": 0.40467} -{"mode": "train", "epoch": 26, "iter": 16350, "lr": 5e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.46547, "decode.acc_seg": 65.76941, "aux.loss_seg": 0.29086, "aux.acc_seg": 59.69444, "loss": 0.75633, "time": 0.40434} -{"mode": "train", "epoch": 26, "iter": 16400, "lr": 5e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.46796, "decode.acc_seg": 66.19627, "aux.loss_seg": 0.29131, "aux.acc_seg": 60.06251, "loss": 0.75926, "time": 0.4043} -{"mode": "train", "epoch": 27, "iter": 16450, "lr": 5e-05, "memory": 22018, "data_time": 0.17119, "decode.loss_seg": 0.4751, "decode.acc_seg": 65.96714, "aux.loss_seg": 0.29594, "aux.acc_seg": 59.87659, "loss": 0.77104, "time": 0.56704} -{"mode": "train", "epoch": 27, "iter": 16500, "lr": 5e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.46869, "decode.acc_seg": 67.23578, "aux.loss_seg": 0.29873, "aux.acc_seg": 60.8139, "loss": 0.76742, "time": 0.40297} -{"mode": "train", "epoch": 27, "iter": 16550, "lr": 5e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.47712, "decode.acc_seg": 66.13822, "aux.loss_seg": 0.29457, "aux.acc_seg": 59.6568, "loss": 0.77169, "time": 0.40267} -{"mode": "train", "epoch": 27, "iter": 16600, "lr": 5e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.48422, "decode.acc_seg": 67.54151, "aux.loss_seg": 0.3029, "aux.acc_seg": 61.00696, "loss": 0.78712, "time": 0.40262} -{"mode": "train", "epoch": 27, "iter": 16650, "lr": 5e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.48298, "decode.acc_seg": 65.73369, "aux.loss_seg": 0.29473, "aux.acc_seg": 59.55525, "loss": 0.77771, "time": 0.40298} -{"mode": "train", "epoch": 27, "iter": 16700, "lr": 5e-05, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.46247, "decode.acc_seg": 66.33583, "aux.loss_seg": 0.28637, "aux.acc_seg": 60.41857, "loss": 0.74884, "time": 0.40296} -{"mode": "train", "epoch": 27, "iter": 16750, "lr": 5e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.48275, "decode.acc_seg": 65.94715, "aux.loss_seg": 0.2985, "aux.acc_seg": 59.59218, "loss": 0.78125, "time": 0.40309} -{"mode": "train", "epoch": 27, "iter": 16800, "lr": 5e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.48357, "decode.acc_seg": 65.11574, "aux.loss_seg": 0.30131, "aux.acc_seg": 58.8136, "loss": 0.78488, "time": 0.40328} -{"mode": "train", "epoch": 27, "iter": 16850, "lr": 5e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.48231, "decode.acc_seg": 65.88231, "aux.loss_seg": 0.29657, "aux.acc_seg": 59.96798, "loss": 0.77888, "time": 0.403} -{"mode": "train", "epoch": 27, "iter": 16900, "lr": 5e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.46491, "decode.acc_seg": 65.60585, "aux.loss_seg": 0.2982, "aux.acc_seg": 58.9692, "loss": 0.76311, "time": 0.40386} -{"mode": "train", "epoch": 27, "iter": 16950, "lr": 5e-05, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.48431, "decode.acc_seg": 66.60263, "aux.loss_seg": 0.30021, "aux.acc_seg": 60.20781, "loss": 0.78452, "time": 0.40234} -{"mode": "train", "epoch": 27, "iter": 17000, "lr": 5e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.47183, "decode.acc_seg": 65.658, "aux.loss_seg": 0.29989, "aux.acc_seg": 59.01691, "loss": 0.77172, "time": 0.40215} -{"mode": "train", "epoch": 28, "iter": 17050, "lr": 5e-05, "memory": 22018, "data_time": 0.17342, "decode.loss_seg": 0.46454, "decode.acc_seg": 65.78947, "aux.loss_seg": 0.28704, "aux.acc_seg": 59.79438, "loss": 0.75157, "time": 0.56784} -{"mode": "train", "epoch": 28, "iter": 17100, "lr": 5e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.44106, "decode.acc_seg": 67.7229, "aux.loss_seg": 0.28568, "aux.acc_seg": 60.95186, "loss": 0.72674, "time": 0.40375} -{"mode": "train", "epoch": 28, "iter": 17150, "lr": 5e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.48422, "decode.acc_seg": 66.10245, "aux.loss_seg": 0.29992, "aux.acc_seg": 59.95994, "loss": 0.78414, "time": 0.40462} -{"mode": "train", "epoch": 28, "iter": 17200, "lr": 5e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.4683, "decode.acc_seg": 65.99892, "aux.loss_seg": 0.29573, "aux.acc_seg": 59.44089, "loss": 0.76403, "time": 0.40375} -{"mode": "train", "epoch": 28, "iter": 17250, "lr": 5e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.4531, "decode.acc_seg": 67.47735, "aux.loss_seg": 0.28417, "aux.acc_seg": 61.01218, "loss": 0.73727, "time": 0.4036} -{"mode": "train", "epoch": 28, "iter": 17300, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.46783, "decode.acc_seg": 66.57041, "aux.loss_seg": 0.29846, "aux.acc_seg": 59.63363, "loss": 0.76629, "time": 0.40377} -{"mode": "train", "epoch": 28, "iter": 17350, "lr": 5e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.45599, "decode.acc_seg": 67.00695, "aux.loss_seg": 0.28606, "aux.acc_seg": 60.807, "loss": 0.74205, "time": 0.40438} -{"mode": "train", "epoch": 28, "iter": 17400, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.47754, "decode.acc_seg": 65.32956, "aux.loss_seg": 0.29868, "aux.acc_seg": 58.99979, "loss": 0.77622, "time": 0.40395} -{"mode": "train", "epoch": 28, "iter": 17450, "lr": 5e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.46422, "decode.acc_seg": 65.94112, "aux.loss_seg": 0.29133, "aux.acc_seg": 59.65079, "loss": 0.75555, "time": 0.40423} -{"mode": "train", "epoch": 28, "iter": 17500, "lr": 5e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.46393, "decode.acc_seg": 66.64512, "aux.loss_seg": 0.28939, "aux.acc_seg": 60.46864, "loss": 0.75332, "time": 0.40404} -{"mode": "train", "epoch": 28, "iter": 17550, "lr": 5e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.48611, "decode.acc_seg": 66.09205, "aux.loss_seg": 0.30972, "aux.acc_seg": 59.38151, "loss": 0.79583, "time": 0.40467} -{"mode": "train", "epoch": 28, "iter": 17600, "lr": 5e-05, "memory": 22018, "data_time": 0.01022, "decode.loss_seg": 0.49085, "decode.acc_seg": 65.51491, "aux.loss_seg": 0.30187, "aux.acc_seg": 59.2582, "loss": 0.79272, "time": 0.40337} -{"mode": "train", "epoch": 28, "iter": 17650, "lr": 5e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.46045, "decode.acc_seg": 65.83129, "aux.loss_seg": 0.28873, "aux.acc_seg": 59.47392, "loss": 0.74918, "time": 0.40364} -{"mode": "train", "epoch": 29, "iter": 17700, "lr": 5e-05, "memory": 22018, "data_time": 0.17615, "decode.loss_seg": 0.45412, "decode.acc_seg": 66.6335, "aux.loss_seg": 0.28472, "aux.acc_seg": 60.3717, "loss": 0.73884, "time": 0.57046} -{"mode": "train", "epoch": 29, "iter": 17750, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.44603, "decode.acc_seg": 67.13334, "aux.loss_seg": 0.28704, "aux.acc_seg": 60.35929, "loss": 0.73306, "time": 0.40258} -{"mode": "train", "epoch": 29, "iter": 17800, "lr": 5e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.45742, "decode.acc_seg": 66.80564, "aux.loss_seg": 0.29395, "aux.acc_seg": 60.09347, "loss": 0.75137, "time": 0.40252} -{"mode": "train", "epoch": 29, "iter": 17850, "lr": 5e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.46737, "decode.acc_seg": 67.44548, "aux.loss_seg": 0.29418, "aux.acc_seg": 61.26824, "loss": 0.76155, "time": 0.40184} -{"mode": "train", "epoch": 29, "iter": 17900, "lr": 5e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.46172, "decode.acc_seg": 66.52301, "aux.loss_seg": 0.29386, "aux.acc_seg": 59.99465, "loss": 0.75557, "time": 0.40206} -{"mode": "train", "epoch": 29, "iter": 17950, "lr": 5e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.46831, "decode.acc_seg": 66.37346, "aux.loss_seg": 0.28961, "aux.acc_seg": 60.0433, "loss": 0.75792, "time": 0.40292} -{"mode": "train", "epoch": 29, "iter": 18000, "lr": 5e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.45489, "decode.acc_seg": 67.05233, "aux.loss_seg": 0.29324, "aux.acc_seg": 60.42577, "loss": 0.74814, "time": 0.40368} -{"mode": "train", "epoch": 29, "iter": 18050, "lr": 5e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.46239, "decode.acc_seg": 66.99775, "aux.loss_seg": 0.29112, "aux.acc_seg": 60.8871, "loss": 0.75351, "time": 0.40315} -{"mode": "train", "epoch": 29, "iter": 18100, "lr": 5e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.4517, "decode.acc_seg": 66.26637, "aux.loss_seg": 0.28343, "aux.acc_seg": 60.19466, "loss": 0.73513, "time": 0.40208} -{"mode": "train", "epoch": 29, "iter": 18150, "lr": 5e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.45692, "decode.acc_seg": 66.68038, "aux.loss_seg": 0.28849, "aux.acc_seg": 60.14467, "loss": 0.74541, "time": 0.40223} -{"mode": "train", "epoch": 29, "iter": 18200, "lr": 5e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.45467, "decode.acc_seg": 65.57898, "aux.loss_seg": 0.28778, "aux.acc_seg": 59.42616, "loss": 0.74245, "time": 0.40207} -{"mode": "train", "epoch": 29, "iter": 18250, "lr": 5e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.46037, "decode.acc_seg": 66.39697, "aux.loss_seg": 0.28635, "aux.acc_seg": 60.3291, "loss": 0.74673, "time": 0.40215} -{"mode": "train", "epoch": 29, "iter": 18300, "lr": 5e-05, "memory": 22018, "data_time": 0.17871, "decode.loss_seg": 0.47554, "decode.acc_seg": 66.19052, "aux.loss_seg": 0.29369, "aux.acc_seg": 60.16427, "loss": 0.76924, "time": 0.574} -{"mode": "train", "epoch": 30, "iter": 18350, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.4539, "decode.acc_seg": 67.71385, "aux.loss_seg": 0.28729, "aux.acc_seg": 61.15672, "loss": 0.74119, "time": 0.40256} -{"mode": "train", "epoch": 30, "iter": 18400, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.44656, "decode.acc_seg": 66.4807, "aux.loss_seg": 0.28461, "aux.acc_seg": 60.15804, "loss": 0.73117, "time": 0.40312} -{"mode": "train", "epoch": 30, "iter": 18450, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.44149, "decode.acc_seg": 66.03201, "aux.loss_seg": 0.28201, "aux.acc_seg": 59.73884, "loss": 0.7235, "time": 0.4041} -{"mode": "train", "epoch": 30, "iter": 18500, "lr": 5e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.46801, "decode.acc_seg": 67.44942, "aux.loss_seg": 0.29302, "aux.acc_seg": 60.90731, "loss": 0.76104, "time": 0.4043} -{"mode": "train", "epoch": 30, "iter": 18550, "lr": 5e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.44921, "decode.acc_seg": 66.37978, "aux.loss_seg": 0.2896, "aux.acc_seg": 59.84418, "loss": 0.73881, "time": 0.40348} -{"mode": "train", "epoch": 30, "iter": 18600, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.44215, "decode.acc_seg": 66.87335, "aux.loss_seg": 0.28371, "aux.acc_seg": 60.53977, "loss": 0.72586, "time": 0.40432} -{"mode": "train", "epoch": 30, "iter": 18650, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.46418, "decode.acc_seg": 67.19618, "aux.loss_seg": 0.29747, "aux.acc_seg": 60.23742, "loss": 0.76165, "time": 0.40425} -{"mode": "train", "epoch": 30, "iter": 18700, "lr": 5e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.45965, "decode.acc_seg": 65.6163, "aux.loss_seg": 0.29239, "aux.acc_seg": 59.34526, "loss": 0.75204, "time": 0.4041} -{"mode": "train", "epoch": 30, "iter": 18750, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.46954, "decode.acc_seg": 67.21383, "aux.loss_seg": 0.29682, "aux.acc_seg": 60.36555, "loss": 0.76636, "time": 0.40471} -{"mode": "train", "epoch": 30, "iter": 18800, "lr": 5e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.45393, "decode.acc_seg": 66.54577, "aux.loss_seg": 0.28517, "aux.acc_seg": 60.23334, "loss": 0.7391, "time": 0.40475} -{"mode": "train", "epoch": 30, "iter": 18850, "lr": 5e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.45857, "decode.acc_seg": 66.71306, "aux.loss_seg": 0.28713, "aux.acc_seg": 60.57884, "loss": 0.74569, "time": 0.40385} -{"mode": "train", "epoch": 30, "iter": 18900, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.46563, "decode.acc_seg": 66.89774, "aux.loss_seg": 0.29185, "aux.acc_seg": 60.42471, "loss": 0.75748, "time": 0.40338} -{"mode": "train", "epoch": 31, "iter": 18950, "lr": 5e-05, "memory": 22018, "data_time": 0.174, "decode.loss_seg": 0.44109, "decode.acc_seg": 67.47065, "aux.loss_seg": 0.27981, "aux.acc_seg": 61.14416, "loss": 0.72091, "time": 0.56921} -{"mode": "train", "epoch": 31, "iter": 19000, "lr": 5e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.43419, "decode.acc_seg": 67.0415, "aux.loss_seg": 0.27702, "aux.acc_seg": 60.77346, "loss": 0.71121, "time": 0.40357} -{"mode": "train", "epoch": 31, "iter": 19050, "lr": 5e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.45417, "decode.acc_seg": 66.75755, "aux.loss_seg": 0.29131, "aux.acc_seg": 59.7482, "loss": 0.74548, "time": 0.40298} -{"mode": "train", "epoch": 31, "iter": 19100, "lr": 5e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.45496, "decode.acc_seg": 66.86558, "aux.loss_seg": 0.29149, "aux.acc_seg": 60.36308, "loss": 0.74645, "time": 0.40333} -{"mode": "train", "epoch": 31, "iter": 19150, "lr": 5e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.44751, "decode.acc_seg": 67.70266, "aux.loss_seg": 0.28133, "aux.acc_seg": 61.49925, "loss": 0.72883, "time": 0.40339} -{"mode": "train", "epoch": 31, "iter": 19200, "lr": 5e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.44709, "decode.acc_seg": 66.95295, "aux.loss_seg": 0.2807, "aux.acc_seg": 60.61754, "loss": 0.72779, "time": 0.40293} -{"mode": "train", "epoch": 31, "iter": 19250, "lr": 5e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.45652, "decode.acc_seg": 66.72467, "aux.loss_seg": 0.28877, "aux.acc_seg": 59.96004, "loss": 0.74529, "time": 0.40319} -{"mode": "train", "epoch": 31, "iter": 19300, "lr": 5e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.45362, "decode.acc_seg": 66.89589, "aux.loss_seg": 0.28602, "aux.acc_seg": 60.41453, "loss": 0.73964, "time": 0.40289} -{"mode": "train", "epoch": 31, "iter": 19350, "lr": 5e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.44817, "decode.acc_seg": 66.65339, "aux.loss_seg": 0.28917, "aux.acc_seg": 59.7384, "loss": 0.73735, "time": 0.40272} -{"mode": "train", "epoch": 31, "iter": 19400, "lr": 5e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.44079, "decode.acc_seg": 66.5283, "aux.loss_seg": 0.27851, "aux.acc_seg": 60.34252, "loss": 0.7193, "time": 0.40281} -{"mode": "train", "epoch": 31, "iter": 19450, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.46073, "decode.acc_seg": 67.36876, "aux.loss_seg": 0.28987, "aux.acc_seg": 61.06558, "loss": 0.7506, "time": 0.40301} -{"mode": "train", "epoch": 31, "iter": 19500, "lr": 5e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.45283, "decode.acc_seg": 67.5467, "aux.loss_seg": 0.28571, "aux.acc_seg": 61.29727, "loss": 0.73854, "time": 0.40258} -{"mode": "train", "epoch": 31, "iter": 19550, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.45128, "decode.acc_seg": 66.64351, "aux.loss_seg": 0.28184, "aux.acc_seg": 60.57005, "loss": 0.73312, "time": 0.40287} -{"mode": "train", "epoch": 32, "iter": 19600, "lr": 5e-05, "memory": 22018, "data_time": 0.17624, "decode.loss_seg": 0.43581, "decode.acc_seg": 68.04754, "aux.loss_seg": 0.27834, "aux.acc_seg": 61.76684, "loss": 0.71415, "time": 0.57119} -{"mode": "train", "epoch": 32, "iter": 19650, "lr": 5e-05, "memory": 22018, "data_time": 0.00999, "decode.loss_seg": 0.43181, "decode.acc_seg": 66.44135, "aux.loss_seg": 0.28225, "aux.acc_seg": 59.6906, "loss": 0.71406, "time": 0.404} -{"mode": "train", "epoch": 32, "iter": 19700, "lr": 5e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.43028, "decode.acc_seg": 66.88575, "aux.loss_seg": 0.28109, "aux.acc_seg": 59.93561, "loss": 0.71137, "time": 0.40341} -{"mode": "train", "epoch": 32, "iter": 19750, "lr": 5e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.43127, "decode.acc_seg": 67.05913, "aux.loss_seg": 0.27964, "aux.acc_seg": 60.74355, "loss": 0.71091, "time": 0.4053} -{"mode": "train", "epoch": 32, "iter": 19800, "lr": 5e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.45489, "decode.acc_seg": 66.88048, "aux.loss_seg": 0.2937, "aux.acc_seg": 60.07045, "loss": 0.74859, "time": 0.40464} -{"mode": "train", "epoch": 32, "iter": 19850, "lr": 5e-05, "memory": 22018, "data_time": 0.01016, "decode.loss_seg": 0.45215, "decode.acc_seg": 66.48308, "aux.loss_seg": 0.28291, "aux.acc_seg": 60.46375, "loss": 0.73505, "time": 0.40409} -{"mode": "train", "epoch": 32, "iter": 19900, "lr": 5e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.42706, "decode.acc_seg": 66.82056, "aux.loss_seg": 0.27697, "aux.acc_seg": 60.30504, "loss": 0.70403, "time": 0.40452} -{"mode": "train", "epoch": 32, "iter": 19950, "lr": 5e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.45124, "decode.acc_seg": 66.5409, "aux.loss_seg": 0.28548, "aux.acc_seg": 60.32952, "loss": 0.73672, "time": 0.40452} -{"mode": "train", "epoch": 32, "iter": 20000, "lr": 5e-05, "memory": 22018, "data_time": 0.01036, "decode.loss_seg": 0.45112, "decode.acc_seg": 66.132, "aux.loss_seg": 0.28755, "aux.acc_seg": 59.72297, "loss": 0.73867, "time": 0.40415} -{"mode": "train", "epoch": 32, "iter": 20050, "lr": 5e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.44951, "decode.acc_seg": 67.00128, "aux.loss_seg": 0.28127, "aux.acc_seg": 60.9236, "loss": 0.73078, "time": 0.40549} -{"mode": "train", "epoch": 32, "iter": 20100, "lr": 5e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.44606, "decode.acc_seg": 66.02115, "aux.loss_seg": 0.28004, "aux.acc_seg": 59.92012, "loss": 0.7261, "time": 0.40523} -{"mode": "train", "epoch": 32, "iter": 20150, "lr": 5e-05, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.45329, "decode.acc_seg": 67.00617, "aux.loss_seg": 0.28309, "aux.acc_seg": 60.63638, "loss": 0.73638, "time": 0.40528} -{"mode": "train", "epoch": 33, "iter": 20200, "lr": 5e-05, "memory": 22018, "data_time": 0.17053, "decode.loss_seg": 0.45079, "decode.acc_seg": 66.23259, "aux.loss_seg": 0.27817, "aux.acc_seg": 60.04843, "loss": 0.72896, "time": 0.56671} -{"mode": "train", "epoch": 33, "iter": 20250, "lr": 5e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.43883, "decode.acc_seg": 66.42372, "aux.loss_seg": 0.27581, "aux.acc_seg": 60.37572, "loss": 0.71464, "time": 0.40364} -{"mode": "train", "epoch": 33, "iter": 20300, "lr": 5e-05, "memory": 22018, "data_time": 0.00987, "decode.loss_seg": 0.44164, "decode.acc_seg": 67.22253, "aux.loss_seg": 0.28427, "aux.acc_seg": 60.45356, "loss": 0.72591, "time": 0.40425} -{"mode": "train", "epoch": 33, "iter": 20350, "lr": 5e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.45786, "decode.acc_seg": 67.12815, "aux.loss_seg": 0.28674, "aux.acc_seg": 60.79968, "loss": 0.7446, "time": 0.40434} -{"mode": "train", "epoch": 33, "iter": 20400, "lr": 5e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.44529, "decode.acc_seg": 68.30066, "aux.loss_seg": 0.28726, "aux.acc_seg": 61.61751, "loss": 0.73255, "time": 0.40443} -{"mode": "train", "epoch": 33, "iter": 20450, "lr": 5e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.42693, "decode.acc_seg": 68.20132, "aux.loss_seg": 0.27072, "aux.acc_seg": 62.34546, "loss": 0.69765, "time": 0.40423} -{"mode": "train", "epoch": 33, "iter": 20500, "lr": 5e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.43843, "decode.acc_seg": 68.28904, "aux.loss_seg": 0.27594, "aux.acc_seg": 61.79078, "loss": 0.71437, "time": 0.4042} -{"mode": "train", "epoch": 33, "iter": 20550, "lr": 5e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.43557, "decode.acc_seg": 68.01785, "aux.loss_seg": 0.27657, "aux.acc_seg": 61.71304, "loss": 0.71214, "time": 0.40475} -{"mode": "train", "epoch": 33, "iter": 20600, "lr": 5e-05, "memory": 22018, "data_time": 0.01023, "decode.loss_seg": 0.43251, "decode.acc_seg": 66.17929, "aux.loss_seg": 0.28029, "aux.acc_seg": 59.39997, "loss": 0.7128, "time": 0.40519} -{"mode": "train", "epoch": 33, "iter": 20650, "lr": 5e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.46525, "decode.acc_seg": 66.14383, "aux.loss_seg": 0.29296, "aux.acc_seg": 59.87446, "loss": 0.75821, "time": 0.40476} -{"mode": "train", "epoch": 33, "iter": 20700, "lr": 5e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.42792, "decode.acc_seg": 67.19611, "aux.loss_seg": 0.28052, "aux.acc_seg": 60.47992, "loss": 0.70844, "time": 0.40509} -{"mode": "train", "epoch": 33, "iter": 20750, "lr": 5e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.45853, "decode.acc_seg": 67.13676, "aux.loss_seg": 0.2847, "aux.acc_seg": 60.75208, "loss": 0.74323, "time": 0.40482} -{"mode": "train", "epoch": 33, "iter": 20800, "lr": 5e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.44845, "decode.acc_seg": 66.92058, "aux.loss_seg": 0.28337, "aux.acc_seg": 60.78664, "loss": 0.73182, "time": 0.40418} -{"mode": "train", "epoch": 34, "iter": 20850, "lr": 5e-05, "memory": 22018, "data_time": 0.17242, "decode.loss_seg": 0.43673, "decode.acc_seg": 67.33339, "aux.loss_seg": 0.27976, "aux.acc_seg": 60.85811, "loss": 0.71649, "time": 0.56671} -{"mode": "train", "epoch": 34, "iter": 20900, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.41849, "decode.acc_seg": 67.87226, "aux.loss_seg": 0.27266, "aux.acc_seg": 61.39005, "loss": 0.69115, "time": 0.40198} -{"mode": "train", "epoch": 34, "iter": 20950, "lr": 5e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.44208, "decode.acc_seg": 67.17044, "aux.loss_seg": 0.28397, "aux.acc_seg": 60.53503, "loss": 0.72605, "time": 0.40217} -{"mode": "train", "epoch": 34, "iter": 21000, "lr": 5e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.43001, "decode.acc_seg": 66.9081, "aux.loss_seg": 0.27878, "aux.acc_seg": 60.35197, "loss": 0.70879, "time": 0.40178} -{"mode": "train", "epoch": 34, "iter": 21050, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.41916, "decode.acc_seg": 68.2952, "aux.loss_seg": 0.27486, "aux.acc_seg": 62.00661, "loss": 0.69402, "time": 0.40173} -{"mode": "train", "epoch": 34, "iter": 21100, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.43362, "decode.acc_seg": 67.25846, "aux.loss_seg": 0.28236, "aux.acc_seg": 60.67364, "loss": 0.71599, "time": 0.40129} -{"mode": "train", "epoch": 34, "iter": 21150, "lr": 5e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.42719, "decode.acc_seg": 67.40485, "aux.loss_seg": 0.27575, "aux.acc_seg": 61.04144, "loss": 0.70294, "time": 0.40149} -{"mode": "train", "epoch": 34, "iter": 21200, "lr": 5e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.39474, "decode.acc_seg": 67.48681, "aux.loss_seg": 0.25027, "aux.acc_seg": 61.55763, "loss": 0.64501, "time": 0.4023} -{"mode": "train", "epoch": 34, "iter": 21250, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.42172, "decode.acc_seg": 67.96885, "aux.loss_seg": 0.26549, "aux.acc_seg": 62.04476, "loss": 0.68721, "time": 0.40237} -{"mode": "train", "epoch": 34, "iter": 21300, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.44583, "decode.acc_seg": 66.91463, "aux.loss_seg": 0.28903, "aux.acc_seg": 60.47112, "loss": 0.73487, "time": 0.40152} -{"mode": "train", "epoch": 34, "iter": 21350, "lr": 5e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.44438, "decode.acc_seg": 68.25156, "aux.loss_seg": 0.28028, "aux.acc_seg": 61.95957, "loss": 0.72466, "time": 0.40144} -{"mode": "train", "epoch": 34, "iter": 21400, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.45388, "decode.acc_seg": 66.26753, "aux.loss_seg": 0.28758, "aux.acc_seg": 59.61499, "loss": 0.74147, "time": 0.40142} -{"mode": "train", "epoch": 34, "iter": 21450, "lr": 5e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.42254, "decode.acc_seg": 68.28439, "aux.loss_seg": 0.27797, "aux.acc_seg": 61.61912, "loss": 0.70051, "time": 0.40175} -{"mode": "train", "epoch": 35, "iter": 21500, "lr": 5e-05, "memory": 22018, "data_time": 0.18145, "decode.loss_seg": 0.41967, "decode.acc_seg": 68.48857, "aux.loss_seg": 0.27622, "aux.acc_seg": 61.49053, "loss": 0.69589, "time": 0.57459} -{"mode": "train", "epoch": 35, "iter": 21550, "lr": 5e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.40621, "decode.acc_seg": 68.21545, "aux.loss_seg": 0.26769, "aux.acc_seg": 61.48682, "loss": 0.6739, "time": 0.40125} -{"mode": "train", "epoch": 35, "iter": 21600, "lr": 5e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.41105, "decode.acc_seg": 68.37223, "aux.loss_seg": 0.2718, "aux.acc_seg": 61.67007, "loss": 0.68285, "time": 0.40083} -{"mode": "train", "epoch": 35, "iter": 21650, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.43031, "decode.acc_seg": 66.71079, "aux.loss_seg": 0.28395, "aux.acc_seg": 59.90432, "loss": 0.71425, "time": 0.40109} -{"mode": "train", "epoch": 35, "iter": 21700, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.41411, "decode.acc_seg": 67.67242, "aux.loss_seg": 0.26622, "aux.acc_seg": 61.34094, "loss": 0.68033, "time": 0.4014} -{"mode": "train", "epoch": 35, "iter": 21750, "lr": 5e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.43519, "decode.acc_seg": 67.77484, "aux.loss_seg": 0.27481, "aux.acc_seg": 61.61588, "loss": 0.71, "time": 0.40095} -{"mode": "train", "epoch": 35, "iter": 21800, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.4295, "decode.acc_seg": 67.25198, "aux.loss_seg": 0.28138, "aux.acc_seg": 60.50014, "loss": 0.71088, "time": 0.40123} -{"mode": "train", "epoch": 35, "iter": 21850, "lr": 5e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.42345, "decode.acc_seg": 67.31243, "aux.loss_seg": 0.26892, "aux.acc_seg": 61.29906, "loss": 0.69237, "time": 0.40235} -{"mode": "train", "epoch": 35, "iter": 21900, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.41888, "decode.acc_seg": 67.85231, "aux.loss_seg": 0.27076, "aux.acc_seg": 61.32443, "loss": 0.68964, "time": 0.40136} -{"mode": "train", "epoch": 35, "iter": 21950, "lr": 5e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.4387, "decode.acc_seg": 67.69449, "aux.loss_seg": 0.27847, "aux.acc_seg": 61.47448, "loss": 0.71717, "time": 0.40247} -{"mode": "train", "epoch": 35, "iter": 22000, "lr": 5e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.43712, "decode.acc_seg": 67.13353, "aux.loss_seg": 0.28065, "aux.acc_seg": 60.46916, "loss": 0.71777, "time": 0.40249} -{"mode": "train", "epoch": 35, "iter": 22050, "lr": 5e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.43478, "decode.acc_seg": 67.28419, "aux.loss_seg": 0.2804, "aux.acc_seg": 61.02994, "loss": 0.71518, "time": 0.4018} -{"mode": "train", "epoch": 36, "iter": 22100, "lr": 5e-05, "memory": 22018, "data_time": 0.17631, "decode.loss_seg": 0.41984, "decode.acc_seg": 68.23381, "aux.loss_seg": 0.27166, "aux.acc_seg": 61.62398, "loss": 0.6915, "time": 0.57158} -{"mode": "train", "epoch": 36, "iter": 22150, "lr": 5e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.41579, "decode.acc_seg": 67.76208, "aux.loss_seg": 0.26996, "aux.acc_seg": 61.05043, "loss": 0.68575, "time": 0.40457} -{"mode": "train", "epoch": 36, "iter": 22200, "lr": 5e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.41551, "decode.acc_seg": 68.78452, "aux.loss_seg": 0.2763, "aux.acc_seg": 62.25243, "loss": 0.69181, "time": 0.40352} -{"mode": "train", "epoch": 36, "iter": 22250, "lr": 5e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.41535, "decode.acc_seg": 66.8698, "aux.loss_seg": 0.26956, "aux.acc_seg": 60.64538, "loss": 0.68491, "time": 0.40317} -{"mode": "train", "epoch": 36, "iter": 22300, "lr": 5e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.40701, "decode.acc_seg": 67.80678, "aux.loss_seg": 0.26685, "aux.acc_seg": 61.31707, "loss": 0.67386, "time": 0.4032} -{"mode": "train", "epoch": 36, "iter": 22350, "lr": 5e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.41417, "decode.acc_seg": 67.72665, "aux.loss_seg": 0.27424, "aux.acc_seg": 61.03275, "loss": 0.6884, "time": 0.40356} -{"mode": "train", "epoch": 36, "iter": 22400, "lr": 5e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.41561, "decode.acc_seg": 68.85277, "aux.loss_seg": 0.27113, "aux.acc_seg": 62.47371, "loss": 0.68674, "time": 0.4033} -{"mode": "train", "epoch": 36, "iter": 22450, "lr": 5e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.4304, "decode.acc_seg": 67.25516, "aux.loss_seg": 0.27861, "aux.acc_seg": 60.57863, "loss": 0.70901, "time": 0.40238} -{"mode": "train", "epoch": 36, "iter": 22500, "lr": 5e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.42452, "decode.acc_seg": 66.58942, "aux.loss_seg": 0.27211, "aux.acc_seg": 60.25454, "loss": 0.69663, "time": 0.40342} -{"mode": "train", "epoch": 36, "iter": 22550, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.42634, "decode.acc_seg": 67.325, "aux.loss_seg": 0.27172, "aux.acc_seg": 60.90035, "loss": 0.69806, "time": 0.40308} -{"mode": "train", "epoch": 36, "iter": 22600, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.41812, "decode.acc_seg": 67.32384, "aux.loss_seg": 0.27006, "aux.acc_seg": 60.91232, "loss": 0.68818, "time": 0.40315} -{"mode": "train", "epoch": 36, "iter": 22650, "lr": 5e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.40606, "decode.acc_seg": 67.12598, "aux.loss_seg": 0.26471, "aux.acc_seg": 60.91091, "loss": 0.67077, "time": 0.4034} -{"mode": "train", "epoch": 36, "iter": 22700, "lr": 5e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.41743, "decode.acc_seg": 67.67573, "aux.loss_seg": 0.26949, "aux.acc_seg": 61.1616, "loss": 0.68692, "time": 0.40366} -{"mode": "train", "epoch": 37, "iter": 22750, "lr": 5e-05, "memory": 22018, "data_time": 0.17558, "decode.loss_seg": 0.40862, "decode.acc_seg": 69.17777, "aux.loss_seg": 0.26724, "aux.acc_seg": 62.75763, "loss": 0.67586, "time": 0.56932} -{"mode": "train", "epoch": 37, "iter": 22800, "lr": 5e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.40056, "decode.acc_seg": 68.26584, "aux.loss_seg": 0.26757, "aux.acc_seg": 61.70809, "loss": 0.66813, "time": 0.40201} -{"mode": "train", "epoch": 37, "iter": 22850, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.40366, "decode.acc_seg": 67.6739, "aux.loss_seg": 0.26975, "aux.acc_seg": 60.98198, "loss": 0.6734, "time": 0.40187} -{"mode": "train", "epoch": 37, "iter": 22900, "lr": 5e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.39569, "decode.acc_seg": 68.33402, "aux.loss_seg": 0.26615, "aux.acc_seg": 61.4008, "loss": 0.66184, "time": 0.40236} -{"mode": "train", "epoch": 37, "iter": 22950, "lr": 5e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.42248, "decode.acc_seg": 67.66178, "aux.loss_seg": 0.27199, "aux.acc_seg": 61.39335, "loss": 0.69447, "time": 0.40226} -{"mode": "train", "epoch": 37, "iter": 23000, "lr": 5e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.40523, "decode.acc_seg": 67.74513, "aux.loss_seg": 0.26598, "aux.acc_seg": 61.17733, "loss": 0.67121, "time": 0.40208} -{"mode": "train", "epoch": 37, "iter": 23050, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.40835, "decode.acc_seg": 68.3602, "aux.loss_seg": 0.266, "aux.acc_seg": 61.82463, "loss": 0.67435, "time": 0.4017} -{"mode": "train", "epoch": 37, "iter": 23100, "lr": 5e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.42543, "decode.acc_seg": 67.92403, "aux.loss_seg": 0.27618, "aux.acc_seg": 61.66499, "loss": 0.70161, "time": 0.40175} -{"mode": "train", "epoch": 37, "iter": 23150, "lr": 5e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.41685, "decode.acc_seg": 67.36495, "aux.loss_seg": 0.27086, "aux.acc_seg": 61.05096, "loss": 0.6877, "time": 0.40212} -{"mode": "train", "epoch": 37, "iter": 23200, "lr": 5e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.42257, "decode.acc_seg": 67.62321, "aux.loss_seg": 0.26967, "aux.acc_seg": 61.61773, "loss": 0.69224, "time": 0.40208} -{"mode": "train", "epoch": 37, "iter": 23250, "lr": 5e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.43674, "decode.acc_seg": 66.96175, "aux.loss_seg": 0.28226, "aux.acc_seg": 60.36097, "loss": 0.719, "time": 0.40149} -{"mode": "train", "epoch": 37, "iter": 23300, "lr": 5e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.41121, "decode.acc_seg": 68.33987, "aux.loss_seg": 0.26788, "aux.acc_seg": 61.6586, "loss": 0.67909, "time": 0.40074} -{"mode": "train", "epoch": 38, "iter": 23350, "lr": 5e-05, "memory": 22018, "data_time": 0.17135, "decode.loss_seg": 0.41159, "decode.acc_seg": 68.42542, "aux.loss_seg": 0.27016, "aux.acc_seg": 61.86546, "loss": 0.68175, "time": 0.56568} -{"mode": "train", "epoch": 38, "iter": 23400, "lr": 5e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.41152, "decode.acc_seg": 67.80156, "aux.loss_seg": 0.26759, "aux.acc_seg": 61.52471, "loss": 0.67911, "time": 0.40358} -{"mode": "train", "epoch": 38, "iter": 23450, "lr": 5e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.39901, "decode.acc_seg": 68.43338, "aux.loss_seg": 0.26546, "aux.acc_seg": 61.76698, "loss": 0.66446, "time": 0.40371} -{"mode": "train", "epoch": 38, "iter": 23500, "lr": 5e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.40441, "decode.acc_seg": 69.41164, "aux.loss_seg": 0.26261, "aux.acc_seg": 63.11465, "loss": 0.66702, "time": 0.40289} -{"mode": "train", "epoch": 38, "iter": 23550, "lr": 5e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.39978, "decode.acc_seg": 67.47957, "aux.loss_seg": 0.26072, "aux.acc_seg": 61.37775, "loss": 0.66049, "time": 0.40289} -{"mode": "train", "epoch": 38, "iter": 23600, "lr": 5e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.42133, "decode.acc_seg": 68.26725, "aux.loss_seg": 0.2774, "aux.acc_seg": 61.37802, "loss": 0.69873, "time": 0.40267} -{"mode": "train", "epoch": 38, "iter": 23650, "lr": 5e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.41251, "decode.acc_seg": 68.31368, "aux.loss_seg": 0.26434, "aux.acc_seg": 61.83558, "loss": 0.67685, "time": 0.40172} -{"mode": "train", "epoch": 38, "iter": 23700, "lr": 5e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.40926, "decode.acc_seg": 66.48333, "aux.loss_seg": 0.26389, "aux.acc_seg": 60.25175, "loss": 0.67315, "time": 0.40172} -{"mode": "train", "epoch": 38, "iter": 23750, "lr": 5e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.4095, "decode.acc_seg": 69.23166, "aux.loss_seg": 0.2684, "aux.acc_seg": 62.4423, "loss": 0.6779, "time": 0.40134} -{"mode": "train", "epoch": 38, "iter": 23800, "lr": 5e-05, "memory": 22018, "data_time": 0.00743, "decode.loss_seg": 0.40436, "decode.acc_seg": 67.33857, "aux.loss_seg": 0.26723, "aux.acc_seg": 60.70403, "loss": 0.67159, "time": 0.40256} -{"mode": "train", "epoch": 38, "iter": 23850, "lr": 5e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.40814, "decode.acc_seg": 66.85977, "aux.loss_seg": 0.26439, "aux.acc_seg": 60.4676, "loss": 0.67253, "time": 0.40111} -{"mode": "train", "epoch": 38, "iter": 23900, "lr": 5e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.40083, "decode.acc_seg": 67.36404, "aux.loss_seg": 0.2676, "aux.acc_seg": 60.31424, "loss": 0.66843, "time": 0.40132} -{"mode": "train", "epoch": 38, "iter": 23950, "lr": 5e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.42251, "decode.acc_seg": 69.15844, "aux.loss_seg": 0.27504, "aux.acc_seg": 62.75656, "loss": 0.69756, "time": 0.40247} -{"mode": "train", "epoch": 39, "iter": 24000, "lr": 5e-05, "memory": 22018, "data_time": 0.17423, "decode.loss_seg": 0.40118, "decode.acc_seg": 66.99406, "aux.loss_seg": 0.26185, "aux.acc_seg": 60.89147, "loss": 0.66303, "time": 0.56866} -{"mode": "train", "epoch": 39, "iter": 24050, "lr": 5e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.39014, "decode.acc_seg": 68.1822, "aux.loss_seg": 0.26465, "aux.acc_seg": 61.29566, "loss": 0.65479, "time": 0.40386} -{"mode": "train", "epoch": 39, "iter": 24100, "lr": 5e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.38673, "decode.acc_seg": 67.87732, "aux.loss_seg": 0.25674, "aux.acc_seg": 61.5114, "loss": 0.64346, "time": 0.40338} -{"mode": "train", "epoch": 39, "iter": 24150, "lr": 5e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.40139, "decode.acc_seg": 67.58175, "aux.loss_seg": 0.26343, "aux.acc_seg": 61.2241, "loss": 0.66481, "time": 0.40314} -{"mode": "train", "epoch": 39, "iter": 24200, "lr": 5e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.42908, "decode.acc_seg": 66.94861, "aux.loss_seg": 0.26952, "aux.acc_seg": 61.3479, "loss": 0.69861, "time": 0.40305} -{"mode": "train", "epoch": 39, "iter": 24250, "lr": 5e-05, "memory": 22018, "data_time": 0.01006, "decode.loss_seg": 0.39548, "decode.acc_seg": 67.6964, "aux.loss_seg": 0.26502, "aux.acc_seg": 61.14395, "loss": 0.6605, "time": 0.40279} -{"mode": "train", "epoch": 39, "iter": 24300, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.41944, "decode.acc_seg": 68.18136, "aux.loss_seg": 0.27277, "aux.acc_seg": 61.70247, "loss": 0.69221, "time": 0.40379} -{"mode": "train", "epoch": 39, "iter": 24350, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.43169, "decode.acc_seg": 68.11772, "aux.loss_seg": 0.27751, "aux.acc_seg": 61.44271, "loss": 0.7092, "time": 0.40236} -{"mode": "train", "epoch": 39, "iter": 24400, "lr": 5e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.41544, "decode.acc_seg": 68.25095, "aux.loss_seg": 0.27015, "aux.acc_seg": 61.96841, "loss": 0.68559, "time": 0.40219} -{"mode": "train", "epoch": 39, "iter": 24450, "lr": 5e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.403, "decode.acc_seg": 68.26014, "aux.loss_seg": 0.25921, "aux.acc_seg": 62.31006, "loss": 0.66222, "time": 0.4032} -{"mode": "train", "epoch": 39, "iter": 24500, "lr": 5e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.41494, "decode.acc_seg": 66.89519, "aux.loss_seg": 0.27173, "aux.acc_seg": 60.41907, "loss": 0.68667, "time": 0.40385} -{"mode": "train", "epoch": 39, "iter": 24550, "lr": 5e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.42754, "decode.acc_seg": 68.72251, "aux.loss_seg": 0.27578, "aux.acc_seg": 61.84059, "loss": 0.70332, "time": 0.40273} -{"mode": "train", "epoch": 39, "iter": 24600, "lr": 5e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.39907, "decode.acc_seg": 68.05034, "aux.loss_seg": 0.26263, "aux.acc_seg": 61.61718, "loss": 0.66171, "time": 0.40272} -{"mode": "train", "epoch": 40, "iter": 24650, "lr": 5e-05, "memory": 22018, "data_time": 0.17505, "decode.loss_seg": 0.41003, "decode.acc_seg": 68.47708, "aux.loss_seg": 0.26192, "aux.acc_seg": 62.57339, "loss": 0.67195, "time": 0.56846} -{"mode": "train", "epoch": 40, "iter": 24700, "lr": 5e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.39217, "decode.acc_seg": 68.50903, "aux.loss_seg": 0.25667, "aux.acc_seg": 62.17733, "loss": 0.64884, "time": 0.4021} -{"mode": "train", "epoch": 40, "iter": 24750, "lr": 5e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.3928, "decode.acc_seg": 68.70074, "aux.loss_seg": 0.25276, "aux.acc_seg": 62.48274, "loss": 0.64556, "time": 0.40256} -{"mode": "train", "epoch": 40, "iter": 24800, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.40151, "decode.acc_seg": 68.60372, "aux.loss_seg": 0.2681, "aux.acc_seg": 61.94736, "loss": 0.66961, "time": 0.40252} -{"mode": "train", "epoch": 40, "iter": 24850, "lr": 5e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.38623, "decode.acc_seg": 67.74892, "aux.loss_seg": 0.25802, "aux.acc_seg": 61.47119, "loss": 0.64425, "time": 0.40267} -{"mode": "train", "epoch": 40, "iter": 24900, "lr": 5e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.40202, "decode.acc_seg": 69.06179, "aux.loss_seg": 0.26365, "aux.acc_seg": 62.51057, "loss": 0.66566, "time": 0.40226} -{"mode": "train", "epoch": 40, "iter": 24950, "lr": 5e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.39337, "decode.acc_seg": 68.30734, "aux.loss_seg": 0.26066, "aux.acc_seg": 61.67018, "loss": 0.65403, "time": 0.40294} -{"mode": "train", "epoch": 40, "iter": 25000, "lr": 5e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.39535, "decode.acc_seg": 68.35163, "aux.loss_seg": 0.26267, "aux.acc_seg": 61.87341, "loss": 0.65802, "time": 0.40255} -{"mode": "train", "epoch": 40, "iter": 25050, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.39595, "decode.acc_seg": 67.93861, "aux.loss_seg": 0.25991, "aux.acc_seg": 61.7682, "loss": 0.65586, "time": 0.40239} -{"mode": "train", "epoch": 40, "iter": 25100, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.40746, "decode.acc_seg": 68.18608, "aux.loss_seg": 0.26931, "aux.acc_seg": 61.69169, "loss": 0.67677, "time": 0.40242} -{"mode": "train", "epoch": 40, "iter": 25150, "lr": 5e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.41432, "decode.acc_seg": 68.32773, "aux.loss_seg": 0.26655, "aux.acc_seg": 61.89459, "loss": 0.68087, "time": 0.4023} -{"mode": "train", "epoch": 40, "iter": 25200, "lr": 5e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.42298, "decode.acc_seg": 67.74554, "aux.loss_seg": 0.27146, "aux.acc_seg": 61.49497, "loss": 0.69444, "time": 0.4032} -{"mode": "train", "epoch": 41, "iter": 25250, "lr": 5e-05, "memory": 22018, "data_time": 0.17445, "decode.loss_seg": 0.40786, "decode.acc_seg": 67.2218, "aux.loss_seg": 0.26618, "aux.acc_seg": 60.71817, "loss": 0.67403, "time": 0.56799} -{"mode": "train", "epoch": 41, "iter": 25300, "lr": 5e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.40319, "decode.acc_seg": 68.33542, "aux.loss_seg": 0.26246, "aux.acc_seg": 62.22301, "loss": 0.66565, "time": 0.40284} -{"mode": "train", "epoch": 41, "iter": 25350, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.40031, "decode.acc_seg": 68.5003, "aux.loss_seg": 0.26014, "aux.acc_seg": 62.19611, "loss": 0.66044, "time": 0.40244} -{"mode": "train", "epoch": 41, "iter": 25400, "lr": 5e-05, "memory": 22018, "data_time": 0.01011, "decode.loss_seg": 0.39433, "decode.acc_seg": 68.89604, "aux.loss_seg": 0.26582, "aux.acc_seg": 62.12331, "loss": 0.66015, "time": 0.40297} -{"mode": "train", "epoch": 41, "iter": 25450, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.3854, "decode.acc_seg": 69.32801, "aux.loss_seg": 0.25268, "aux.acc_seg": 62.86768, "loss": 0.63807, "time": 0.40297} -{"mode": "train", "epoch": 41, "iter": 25500, "lr": 5e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.40318, "decode.acc_seg": 67.91464, "aux.loss_seg": 0.26318, "aux.acc_seg": 61.68916, "loss": 0.66636, "time": 0.40296} -{"mode": "train", "epoch": 41, "iter": 25550, "lr": 5e-05, "memory": 22018, "data_time": 0.01081, "decode.loss_seg": 0.39804, "decode.acc_seg": 68.12213, "aux.loss_seg": 0.26756, "aux.acc_seg": 61.61562, "loss": 0.6656, "time": 0.4035} -{"mode": "train", "epoch": 41, "iter": 25600, "lr": 5e-05, "memory": 22018, "data_time": 0.0107, "decode.loss_seg": 0.40854, "decode.acc_seg": 67.68018, "aux.loss_seg": 0.27589, "aux.acc_seg": 60.66835, "loss": 0.68444, "time": 0.40304} -{"mode": "train", "epoch": 41, "iter": 25650, "lr": 5e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.39979, "decode.acc_seg": 68.55045, "aux.loss_seg": 0.26917, "aux.acc_seg": 61.47586, "loss": 0.66895, "time": 0.40336} -{"mode": "train", "epoch": 41, "iter": 25700, "lr": 5e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.40626, "decode.acc_seg": 67.56675, "aux.loss_seg": 0.26751, "aux.acc_seg": 61.1546, "loss": 0.67377, "time": 0.40219} -{"mode": "train", "epoch": 41, "iter": 25750, "lr": 5e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.40643, "decode.acc_seg": 67.86642, "aux.loss_seg": 0.26501, "aux.acc_seg": 61.38804, "loss": 0.67144, "time": 0.40241} -{"mode": "train", "epoch": 41, "iter": 25800, "lr": 5e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.38582, "decode.acc_seg": 68.7512, "aux.loss_seg": 0.25327, "aux.acc_seg": 62.19671, "loss": 0.63909, "time": 0.4027} -{"mode": "train", "epoch": 41, "iter": 25850, "lr": 5e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.4032, "decode.acc_seg": 69.06131, "aux.loss_seg": 0.26313, "aux.acc_seg": 62.46398, "loss": 0.66633, "time": 0.4027} -{"mode": "train", "epoch": 42, "iter": 25900, "lr": 5e-05, "memory": 22018, "data_time": 0.17953, "decode.loss_seg": 0.39835, "decode.acc_seg": 69.56815, "aux.loss_seg": 0.26209, "aux.acc_seg": 63.33214, "loss": 0.66044, "time": 0.57293} -{"mode": "train", "epoch": 42, "iter": 25950, "lr": 5e-05, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.38894, "decode.acc_seg": 67.85342, "aux.loss_seg": 0.25898, "aux.acc_seg": 61.14818, "loss": 0.64793, "time": 0.40185} -{"mode": "train", "epoch": 42, "iter": 26000, "lr": 5e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.38707, "decode.acc_seg": 68.51661, "aux.loss_seg": 0.25964, "aux.acc_seg": 61.71751, "loss": 0.64672, "time": 0.40389} -{"mode": "train", "epoch": 42, "iter": 26050, "lr": 5e-05, "memory": 22018, "data_time": 0.00999, "decode.loss_seg": 0.39067, "decode.acc_seg": 68.25674, "aux.loss_seg": 0.26204, "aux.acc_seg": 61.87153, "loss": 0.65271, "time": 0.40258} -{"mode": "train", "epoch": 42, "iter": 26100, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.40656, "decode.acc_seg": 68.38367, "aux.loss_seg": 0.2639, "aux.acc_seg": 61.88435, "loss": 0.67046, "time": 0.40219} -{"mode": "train", "epoch": 42, "iter": 26150, "lr": 5e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.39569, "decode.acc_seg": 68.27544, "aux.loss_seg": 0.25577, "aux.acc_seg": 62.12559, "loss": 0.65146, "time": 0.40292} -{"mode": "train", "epoch": 42, "iter": 26200, "lr": 5e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.40758, "decode.acc_seg": 68.15744, "aux.loss_seg": 0.26448, "aux.acc_seg": 61.98549, "loss": 0.67206, "time": 0.40268} -{"mode": "train", "epoch": 42, "iter": 26250, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.40266, "decode.acc_seg": 68.19616, "aux.loss_seg": 0.26896, "aux.acc_seg": 61.68483, "loss": 0.67161, "time": 0.40248} -{"mode": "train", "epoch": 42, "iter": 26300, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.39717, "decode.acc_seg": 68.04507, "aux.loss_seg": 0.25502, "aux.acc_seg": 62.33619, "loss": 0.65219, "time": 0.4029} -{"mode": "train", "epoch": 42, "iter": 26350, "lr": 5e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.39101, "decode.acc_seg": 67.91248, "aux.loss_seg": 0.25165, "aux.acc_seg": 61.93013, "loss": 0.64266, "time": 0.40396} -{"mode": "train", "epoch": 42, "iter": 26400, "lr": 5e-05, "memory": 22018, "data_time": 0.01004, "decode.loss_seg": 0.41513, "decode.acc_seg": 67.6419, "aux.loss_seg": 0.27168, "aux.acc_seg": 61.1346, "loss": 0.68681, "time": 0.40237} -{"mode": "train", "epoch": 42, "iter": 26450, "lr": 5e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.39876, "decode.acc_seg": 68.16854, "aux.loss_seg": 0.2622, "aux.acc_seg": 61.7934, "loss": 0.66097, "time": 0.40337} -{"mode": "train", "epoch": 42, "iter": 26500, "lr": 5e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.38688, "decode.acc_seg": 68.27051, "aux.loss_seg": 0.2593, "aux.acc_seg": 61.65539, "loss": 0.64618, "time": 0.40175} -{"mode": "train", "epoch": 43, "iter": 26550, "lr": 5e-05, "memory": 22018, "data_time": 0.17377, "decode.loss_seg": 0.38622, "decode.acc_seg": 68.50744, "aux.loss_seg": 0.25959, "aux.acc_seg": 61.62844, "loss": 0.64581, "time": 0.56746} -{"mode": "train", "epoch": 43, "iter": 26600, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.37463, "decode.acc_seg": 68.55815, "aux.loss_seg": 0.25616, "aux.acc_seg": 61.87567, "loss": 0.63079, "time": 0.40239} -{"mode": "train", "epoch": 43, "iter": 26650, "lr": 5e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.37062, "decode.acc_seg": 68.50251, "aux.loss_seg": 0.25042, "aux.acc_seg": 62.30152, "loss": 0.62104, "time": 0.40199} -{"mode": "train", "epoch": 43, "iter": 26700, "lr": 5e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.39632, "decode.acc_seg": 68.49433, "aux.loss_seg": 0.26868, "aux.acc_seg": 61.81227, "loss": 0.665, "time": 0.40282} -{"mode": "train", "epoch": 43, "iter": 26750, "lr": 5e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.38704, "decode.acc_seg": 67.22441, "aux.loss_seg": 0.25142, "aux.acc_seg": 61.32626, "loss": 0.63847, "time": 0.40227} -{"mode": "train", "epoch": 43, "iter": 26800, "lr": 5e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.39363, "decode.acc_seg": 68.0917, "aux.loss_seg": 0.26017, "aux.acc_seg": 61.75609, "loss": 0.6538, "time": 0.40249} -{"mode": "train", "epoch": 43, "iter": 26850, "lr": 5e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.39242, "decode.acc_seg": 68.7596, "aux.loss_seg": 0.2591, "aux.acc_seg": 62.45023, "loss": 0.65152, "time": 0.40227} -{"mode": "train", "epoch": 43, "iter": 26900, "lr": 5e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.38929, "decode.acc_seg": 68.59654, "aux.loss_seg": 0.25996, "aux.acc_seg": 62.17488, "loss": 0.64925, "time": 0.40176} -{"mode": "train", "epoch": 43, "iter": 26950, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.3839, "decode.acc_seg": 68.73198, "aux.loss_seg": 0.2554, "aux.acc_seg": 62.40995, "loss": 0.6393, "time": 0.4022} -{"mode": "train", "epoch": 43, "iter": 27000, "lr": 5e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.38204, "decode.acc_seg": 68.8646, "aux.loss_seg": 0.24732, "aux.acc_seg": 63.12623, "loss": 0.62936, "time": 0.40224} -{"mode": "train", "epoch": 43, "iter": 27050, "lr": 5e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.39928, "decode.acc_seg": 68.41667, "aux.loss_seg": 0.25809, "aux.acc_seg": 62.03923, "loss": 0.65737, "time": 0.40213} -{"mode": "train", "epoch": 43, "iter": 27100, "lr": 5e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.39876, "decode.acc_seg": 68.78766, "aux.loss_seg": 0.26984, "aux.acc_seg": 61.96242, "loss": 0.6686, "time": 0.40187} -{"mode": "train", "epoch": 44, "iter": 27150, "lr": 5e-05, "memory": 22018, "data_time": 0.1746, "decode.loss_seg": 0.39434, "decode.acc_seg": 68.38885, "aux.loss_seg": 0.26145, "aux.acc_seg": 61.85827, "loss": 0.65579, "time": 0.56811} -{"mode": "train", "epoch": 44, "iter": 27200, "lr": 5e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.37867, "decode.acc_seg": 69.53393, "aux.loss_seg": 0.25298, "aux.acc_seg": 63.08023, "loss": 0.63165, "time": 0.40219} -{"mode": "train", "epoch": 44, "iter": 27250, "lr": 5e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.38977, "decode.acc_seg": 68.50088, "aux.loss_seg": 0.26092, "aux.acc_seg": 61.68097, "loss": 0.65069, "time": 0.40294} -{"mode": "train", "epoch": 44, "iter": 27300, "lr": 5e-05, "memory": 22018, "data_time": 0.01007, "decode.loss_seg": 0.37801, "decode.acc_seg": 69.15465, "aux.loss_seg": 0.25516, "aux.acc_seg": 62.60297, "loss": 0.63317, "time": 0.40325} -{"mode": "train", "epoch": 44, "iter": 27350, "lr": 5e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.39984, "decode.acc_seg": 69.78713, "aux.loss_seg": 0.26177, "aux.acc_seg": 63.65697, "loss": 0.66161, "time": 0.40409} -{"mode": "train", "epoch": 44, "iter": 27400, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.38469, "decode.acc_seg": 68.9227, "aux.loss_seg": 0.25979, "aux.acc_seg": 62.34992, "loss": 0.64448, "time": 0.40355} -{"mode": "train", "epoch": 44, "iter": 27450, "lr": 5e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.40356, "decode.acc_seg": 69.18273, "aux.loss_seg": 0.27289, "aux.acc_seg": 62.10904, "loss": 0.67645, "time": 0.40267} -{"mode": "train", "epoch": 44, "iter": 27500, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.37968, "decode.acc_seg": 68.03076, "aux.loss_seg": 0.25144, "aux.acc_seg": 61.91606, "loss": 0.63112, "time": 0.40283} -{"mode": "train", "epoch": 44, "iter": 27550, "lr": 5e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.39413, "decode.acc_seg": 68.66158, "aux.loss_seg": 0.25626, "aux.acc_seg": 62.5939, "loss": 0.6504, "time": 0.40266} -{"mode": "train", "epoch": 44, "iter": 27600, "lr": 5e-05, "memory": 22018, "data_time": 0.0104, "decode.loss_seg": 0.38207, "decode.acc_seg": 68.81142, "aux.loss_seg": 0.2548, "aux.acc_seg": 62.37375, "loss": 0.63688, "time": 0.40305} -{"mode": "train", "epoch": 44, "iter": 27650, "lr": 5e-05, "memory": 22018, "data_time": 0.01072, "decode.loss_seg": 0.39167, "decode.acc_seg": 68.09487, "aux.loss_seg": 0.26523, "aux.acc_seg": 61.28245, "loss": 0.6569, "time": 0.40342} -{"mode": "train", "epoch": 44, "iter": 27700, "lr": 5e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.39724, "decode.acc_seg": 68.29328, "aux.loss_seg": 0.25695, "aux.acc_seg": 61.92043, "loss": 0.65418, "time": 0.40282} -{"mode": "train", "epoch": 44, "iter": 27750, "lr": 5e-05, "memory": 22018, "data_time": 0.01029, "decode.loss_seg": 0.38222, "decode.acc_seg": 68.24268, "aux.loss_seg": 0.25597, "aux.acc_seg": 62.05967, "loss": 0.63819, "time": 0.40367} -{"mode": "train", "epoch": 45, "iter": 27800, "lr": 5e-05, "memory": 22018, "data_time": 0.18546, "decode.loss_seg": 0.37364, "decode.acc_seg": 68.52829, "aux.loss_seg": 0.2531, "aux.acc_seg": 62.26184, "loss": 0.62673, "time": 0.57808} -{"mode": "train", "epoch": 45, "iter": 27850, "lr": 5e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.37925, "decode.acc_seg": 69.27615, "aux.loss_seg": 0.25523, "aux.acc_seg": 62.57373, "loss": 0.63447, "time": 0.4018} -{"mode": "train", "epoch": 45, "iter": 27900, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.39067, "decode.acc_seg": 68.35724, "aux.loss_seg": 0.26208, "aux.acc_seg": 61.63535, "loss": 0.65275, "time": 0.40175} -{"mode": "train", "epoch": 45, "iter": 27950, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.37983, "decode.acc_seg": 69.14918, "aux.loss_seg": 0.25417, "aux.acc_seg": 62.77517, "loss": 0.63401, "time": 0.4013} -{"mode": "train", "epoch": 45, "iter": 28000, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.38262, "decode.acc_seg": 69.36835, "aux.loss_seg": 0.25848, "aux.acc_seg": 62.80976, "loss": 0.6411, "time": 0.40125} -{"mode": "train", "epoch": 45, "iter": 28050, "lr": 5e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.35982, "decode.acc_seg": 69.01909, "aux.loss_seg": 0.24302, "aux.acc_seg": 62.41687, "loss": 0.60283, "time": 0.40171} -{"mode": "train", "epoch": 45, "iter": 28100, "lr": 5e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.39021, "decode.acc_seg": 68.34403, "aux.loss_seg": 0.25863, "aux.acc_seg": 61.77656, "loss": 0.64884, "time": 0.40132} -{"mode": "train", "epoch": 45, "iter": 28150, "lr": 5e-05, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.38221, "decode.acc_seg": 67.71236, "aux.loss_seg": 0.25094, "aux.acc_seg": 61.62926, "loss": 0.63315, "time": 0.40231} -{"mode": "train", "epoch": 45, "iter": 28200, "lr": 5e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.39161, "decode.acc_seg": 68.63771, "aux.loss_seg": 0.26401, "aux.acc_seg": 61.90022, "loss": 0.65562, "time": 0.40247} -{"mode": "train", "epoch": 45, "iter": 28250, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.38738, "decode.acc_seg": 67.83671, "aux.loss_seg": 0.25666, "aux.acc_seg": 61.42031, "loss": 0.64404, "time": 0.40223} -{"mode": "train", "epoch": 45, "iter": 28300, "lr": 5e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.39386, "decode.acc_seg": 69.0321, "aux.loss_seg": 0.26296, "aux.acc_seg": 62.55904, "loss": 0.65682, "time": 0.40241} -{"mode": "train", "epoch": 45, "iter": 28350, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.39139, "decode.acc_seg": 67.64771, "aux.loss_seg": 0.25868, "aux.acc_seg": 61.06273, "loss": 0.65007, "time": 0.40156} -{"mode": "train", "epoch": 46, "iter": 28400, "lr": 5e-05, "memory": 22018, "data_time": 0.1717, "decode.loss_seg": 0.3806, "decode.acc_seg": 68.40793, "aux.loss_seg": 0.25341, "aux.acc_seg": 62.07802, "loss": 0.63401, "time": 0.56415} -{"mode": "train", "epoch": 46, "iter": 28450, "lr": 5e-05, "memory": 22018, "data_time": 0.01186, "decode.loss_seg": 0.35682, "decode.acc_seg": 69.88019, "aux.loss_seg": 0.24545, "aux.acc_seg": 63.1881, "loss": 0.60227, "time": 0.40455} -{"mode": "train", "epoch": 46, "iter": 28500, "lr": 5e-05, "memory": 22018, "data_time": 0.01148, "decode.loss_seg": 0.3916, "decode.acc_seg": 69.45587, "aux.loss_seg": 0.26016, "aux.acc_seg": 62.65463, "loss": 0.65176, "time": 0.40422} -{"mode": "train", "epoch": 46, "iter": 28550, "lr": 5e-05, "memory": 22018, "data_time": 0.01091, "decode.loss_seg": 0.37946, "decode.acc_seg": 68.71236, "aux.loss_seg": 0.24869, "aux.acc_seg": 62.51407, "loss": 0.62815, "time": 0.40333} -{"mode": "train", "epoch": 46, "iter": 28600, "lr": 5e-05, "memory": 22018, "data_time": 0.01025, "decode.loss_seg": 0.38391, "decode.acc_seg": 67.87376, "aux.loss_seg": 0.25411, "aux.acc_seg": 61.79899, "loss": 0.63802, "time": 0.40313} -{"mode": "train", "epoch": 46, "iter": 28650, "lr": 5e-05, "memory": 22018, "data_time": 0.01006, "decode.loss_seg": 0.38035, "decode.acc_seg": 69.56819, "aux.loss_seg": 0.25822, "aux.acc_seg": 62.86654, "loss": 0.63857, "time": 0.40331} -{"mode": "train", "epoch": 46, "iter": 28700, "lr": 5e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.39577, "decode.acc_seg": 68.5231, "aux.loss_seg": 0.26688, "aux.acc_seg": 61.72726, "loss": 0.66265, "time": 0.40289} -{"mode": "train", "epoch": 46, "iter": 28750, "lr": 5e-05, "memory": 22018, "data_time": 0.01011, "decode.loss_seg": 0.38382, "decode.acc_seg": 69.33129, "aux.loss_seg": 0.25941, "aux.acc_seg": 62.86288, "loss": 0.64323, "time": 0.40298} -{"mode": "train", "epoch": 46, "iter": 28800, "lr": 5e-05, "memory": 22018, "data_time": 0.01125, "decode.loss_seg": 0.37091, "decode.acc_seg": 69.17411, "aux.loss_seg": 0.25009, "aux.acc_seg": 62.9378, "loss": 0.621, "time": 0.40376} -{"mode": "train", "epoch": 46, "iter": 28850, "lr": 5e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.37769, "decode.acc_seg": 68.37558, "aux.loss_seg": 0.24827, "aux.acc_seg": 62.27266, "loss": 0.62595, "time": 0.40322} -{"mode": "train", "epoch": 46, "iter": 28900, "lr": 5e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.40179, "decode.acc_seg": 68.51314, "aux.loss_seg": 0.26381, "aux.acc_seg": 62.00011, "loss": 0.6656, "time": 0.40351} -{"mode": "train", "epoch": 46, "iter": 28950, "lr": 5e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.39479, "decode.acc_seg": 68.2824, "aux.loss_seg": 0.25896, "aux.acc_seg": 62.03339, "loss": 0.65376, "time": 0.40377} -{"mode": "train", "epoch": 46, "iter": 29000, "lr": 5e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.38028, "decode.acc_seg": 69.38988, "aux.loss_seg": 0.25895, "aux.acc_seg": 62.73119, "loss": 0.63923, "time": 0.40366} -{"mode": "train", "epoch": 47, "iter": 29050, "lr": 5e-05, "memory": 22018, "data_time": 0.1775, "decode.loss_seg": 0.37971, "decode.acc_seg": 69.02522, "aux.loss_seg": 0.25398, "aux.acc_seg": 62.56906, "loss": 0.6337, "time": 0.57109} -{"mode": "train", "epoch": 47, "iter": 29100, "lr": 5e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.35476, "decode.acc_seg": 69.60374, "aux.loss_seg": 0.24335, "aux.acc_seg": 63.08049, "loss": 0.5981, "time": 0.40276} -{"mode": "train", "epoch": 47, "iter": 29150, "lr": 5e-05, "memory": 22018, "data_time": 0.01022, "decode.loss_seg": 0.37718, "decode.acc_seg": 69.2771, "aux.loss_seg": 0.25354, "aux.acc_seg": 62.5489, "loss": 0.63072, "time": 0.40352} -{"mode": "train", "epoch": 47, "iter": 29200, "lr": 5e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.38947, "decode.acc_seg": 68.9767, "aux.loss_seg": 0.25938, "aux.acc_seg": 62.5599, "loss": 0.64885, "time": 0.40349} -{"mode": "train", "epoch": 47, "iter": 29250, "lr": 5e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.37628, "decode.acc_seg": 68.3634, "aux.loss_seg": 0.25625, "aux.acc_seg": 61.52732, "loss": 0.63253, "time": 0.40315} -{"mode": "train", "epoch": 47, "iter": 29300, "lr": 5e-05, "memory": 22018, "data_time": 0.01108, "decode.loss_seg": 0.37953, "decode.acc_seg": 68.98501, "aux.loss_seg": 0.2558, "aux.acc_seg": 62.30425, "loss": 0.63533, "time": 0.40328} -{"mode": "train", "epoch": 47, "iter": 29350, "lr": 5e-05, "memory": 22018, "data_time": 0.01099, "decode.loss_seg": 0.3871, "decode.acc_seg": 68.94025, "aux.loss_seg": 0.25307, "aux.acc_seg": 62.5471, "loss": 0.64017, "time": 0.40371} -{"mode": "train", "epoch": 47, "iter": 29400, "lr": 5e-05, "memory": 22018, "data_time": 0.01066, "decode.loss_seg": 0.37635, "decode.acc_seg": 68.12218, "aux.loss_seg": 0.24927, "aux.acc_seg": 62.16123, "loss": 0.62562, "time": 0.40307} -{"mode": "train", "epoch": 47, "iter": 29450, "lr": 5e-05, "memory": 22018, "data_time": 0.01053, "decode.loss_seg": 0.38764, "decode.acc_seg": 68.46113, "aux.loss_seg": 0.25504, "aux.acc_seg": 61.99572, "loss": 0.64267, "time": 0.40311} -{"mode": "train", "epoch": 47, "iter": 29500, "lr": 5e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.38517, "decode.acc_seg": 67.78412, "aux.loss_seg": 0.257, "aux.acc_seg": 61.1478, "loss": 0.64217, "time": 0.40279} -{"mode": "train", "epoch": 47, "iter": 29550, "lr": 5e-05, "memory": 22018, "data_time": 0.01081, "decode.loss_seg": 0.37613, "decode.acc_seg": 69.29014, "aux.loss_seg": 0.25103, "aux.acc_seg": 63.00874, "loss": 0.62716, "time": 0.4033} -{"mode": "train", "epoch": 47, "iter": 29600, "lr": 5e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.37432, "decode.acc_seg": 69.84627, "aux.loss_seg": 0.25381, "aux.acc_seg": 63.19466, "loss": 0.62813, "time": 0.40326} -{"mode": "train", "epoch": 47, "iter": 29650, "lr": 5e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.38534, "decode.acc_seg": 69.48622, "aux.loss_seg": 0.25642, "aux.acc_seg": 62.94322, "loss": 0.64176, "time": 0.40381} -{"mode": "train", "epoch": 48, "iter": 29700, "lr": 5e-05, "memory": 22018, "data_time": 0.17964, "decode.loss_seg": 0.37902, "decode.acc_seg": 68.97883, "aux.loss_seg": 0.25401, "aux.acc_seg": 62.20662, "loss": 0.63304, "time": 0.57334} -{"mode": "train", "epoch": 48, "iter": 29750, "lr": 5e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.36346, "decode.acc_seg": 68.86253, "aux.loss_seg": 0.23996, "aux.acc_seg": 62.98907, "loss": 0.60341, "time": 0.40136} -{"mode": "train", "epoch": 48, "iter": 29800, "lr": 5e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.36417, "decode.acc_seg": 69.03461, "aux.loss_seg": 0.24611, "aux.acc_seg": 62.46001, "loss": 0.61027, "time": 0.40123} -{"mode": "train", "epoch": 48, "iter": 29850, "lr": 5e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.37701, "decode.acc_seg": 68.56261, "aux.loss_seg": 0.25394, "aux.acc_seg": 61.80533, "loss": 0.63096, "time": 0.40172} -{"mode": "train", "epoch": 48, "iter": 29900, "lr": 5e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.3711, "decode.acc_seg": 68.43452, "aux.loss_seg": 0.25387, "aux.acc_seg": 61.71043, "loss": 0.62498, "time": 0.40253} -{"mode": "train", "epoch": 48, "iter": 29950, "lr": 5e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.38627, "decode.acc_seg": 68.75453, "aux.loss_seg": 0.25213, "aux.acc_seg": 62.32452, "loss": 0.6384, "time": 0.40228} -{"mode": "train", "epoch": 48, "iter": 30000, "lr": 5e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.37656, "decode.acc_seg": 69.14049, "aux.loss_seg": 0.24871, "aux.acc_seg": 63.00837, "loss": 0.62527, "time": 0.40164} -{"mode": "train", "epoch": 48, "iter": 30050, "lr": 5e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.3789, "decode.acc_seg": 67.99552, "aux.loss_seg": 0.25116, "aux.acc_seg": 61.89725, "loss": 0.63006, "time": 0.40176} -{"mode": "train", "epoch": 48, "iter": 30100, "lr": 5e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.36171, "decode.acc_seg": 69.52277, "aux.loss_seg": 0.24104, "aux.acc_seg": 63.29449, "loss": 0.60274, "time": 0.40204} -{"mode": "train", "epoch": 48, "iter": 30150, "lr": 5e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.38317, "decode.acc_seg": 68.86373, "aux.loss_seg": 0.25597, "aux.acc_seg": 62.29368, "loss": 0.63914, "time": 0.40167} -{"mode": "train", "epoch": 48, "iter": 30200, "lr": 5e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.39233, "decode.acc_seg": 68.91546, "aux.loss_seg": 0.25934, "aux.acc_seg": 62.6593, "loss": 0.65167, "time": 0.40157} -{"mode": "train", "epoch": 48, "iter": 30250, "lr": 5e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.37918, "decode.acc_seg": 68.85156, "aux.loss_seg": 0.25464, "aux.acc_seg": 62.55561, "loss": 0.63382, "time": 0.40175} -{"mode": "train", "epoch": 49, "iter": 30300, "lr": 5e-05, "memory": 22018, "data_time": 0.17715, "decode.loss_seg": 0.37461, "decode.acc_seg": 68.8872, "aux.loss_seg": 0.25267, "aux.acc_seg": 62.59837, "loss": 0.62728, "time": 0.57079} -{"mode": "train", "epoch": 49, "iter": 30350, "lr": 5e-05, "memory": 22018, "data_time": 0.00951, "decode.loss_seg": 0.36578, "decode.acc_seg": 69.89022, "aux.loss_seg": 0.24918, "aux.acc_seg": 63.29319, "loss": 0.61496, "time": 0.40194} -{"mode": "train", "epoch": 49, "iter": 30400, "lr": 5e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.36019, "decode.acc_seg": 68.9191, "aux.loss_seg": 0.24414, "aux.acc_seg": 62.43328, "loss": 0.60433, "time": 0.40199} -{"mode": "train", "epoch": 49, "iter": 30450, "lr": 5e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.36175, "decode.acc_seg": 68.97105, "aux.loss_seg": 0.23889, "aux.acc_seg": 62.89535, "loss": 0.60064, "time": 0.40165} -{"mode": "train", "epoch": 49, "iter": 30500, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.36208, "decode.acc_seg": 68.84191, "aux.loss_seg": 0.24721, "aux.acc_seg": 62.5367, "loss": 0.60929, "time": 0.40143} -{"mode": "train", "epoch": 49, "iter": 30550, "lr": 5e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.37928, "decode.acc_seg": 69.55992, "aux.loss_seg": 0.25278, "aux.acc_seg": 63.26234, "loss": 0.63206, "time": 0.40324} -{"mode": "train", "epoch": 49, "iter": 30600, "lr": 5e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.37041, "decode.acc_seg": 68.30226, "aux.loss_seg": 0.24852, "aux.acc_seg": 61.77638, "loss": 0.61894, "time": 0.40237} -{"mode": "train", "epoch": 49, "iter": 30650, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.37963, "decode.acc_seg": 69.65346, "aux.loss_seg": 0.25912, "aux.acc_seg": 62.85989, "loss": 0.63874, "time": 0.40193} -{"mode": "train", "epoch": 49, "iter": 30700, "lr": 5e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.34798, "decode.acc_seg": 69.44873, "aux.loss_seg": 0.24509, "aux.acc_seg": 62.67506, "loss": 0.59307, "time": 0.40177} -{"mode": "train", "epoch": 49, "iter": 30750, "lr": 5e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.37476, "decode.acc_seg": 69.46219, "aux.loss_seg": 0.25538, "aux.acc_seg": 62.90114, "loss": 0.63014, "time": 0.40264} -{"mode": "train", "epoch": 49, "iter": 30800, "lr": 5e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.37867, "decode.acc_seg": 69.44719, "aux.loss_seg": 0.25381, "aux.acc_seg": 62.85134, "loss": 0.63248, "time": 0.40184} -{"mode": "train", "epoch": 49, "iter": 30850, "lr": 5e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.36889, "decode.acc_seg": 69.32323, "aux.loss_seg": 0.25653, "aux.acc_seg": 62.37027, "loss": 0.62542, "time": 0.40118} -{"mode": "train", "epoch": 49, "iter": 30900, "lr": 5e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.38332, "decode.acc_seg": 68.69315, "aux.loss_seg": 0.2549, "aux.acc_seg": 62.09469, "loss": 0.63821, "time": 0.40151} -{"mode": "train", "epoch": 50, "iter": 30950, "lr": 5e-05, "memory": 22018, "data_time": 0.16936, "decode.loss_seg": 0.37666, "decode.acc_seg": 68.53908, "aux.loss_seg": 0.25204, "aux.acc_seg": 61.8809, "loss": 0.6287, "time": 0.56361} -{"mode": "train", "epoch": 50, "iter": 31000, "lr": 5e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.36021, "decode.acc_seg": 70.43953, "aux.loss_seg": 0.24611, "aux.acc_seg": 63.89439, "loss": 0.60632, "time": 0.40226} -{"mode": "train", "epoch": 50, "iter": 31050, "lr": 5e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.35827, "decode.acc_seg": 69.97031, "aux.loss_seg": 0.24753, "aux.acc_seg": 63.17238, "loss": 0.60579, "time": 0.40208} -{"mode": "train", "epoch": 50, "iter": 31100, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.37375, "decode.acc_seg": 68.9494, "aux.loss_seg": 0.25138, "aux.acc_seg": 62.63621, "loss": 0.62512, "time": 0.40244} -{"mode": "train", "epoch": 50, "iter": 31150, "lr": 5e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.35765, "decode.acc_seg": 69.54129, "aux.loss_seg": 0.24432, "aux.acc_seg": 62.89356, "loss": 0.60196, "time": 0.40258} -{"mode": "train", "epoch": 50, "iter": 31200, "lr": 5e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.35828, "decode.acc_seg": 70.01294, "aux.loss_seg": 0.24147, "aux.acc_seg": 63.92089, "loss": 0.59976, "time": 0.40249} -{"mode": "train", "epoch": 50, "iter": 31250, "lr": 5e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.37114, "decode.acc_seg": 69.39899, "aux.loss_seg": 0.25002, "aux.acc_seg": 63.0235, "loss": 0.62116, "time": 0.40283} -{"mode": "train", "epoch": 50, "iter": 31300, "lr": 5e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.3767, "decode.acc_seg": 68.05409, "aux.loss_seg": 0.25155, "aux.acc_seg": 61.78504, "loss": 0.62825, "time": 0.40302} -{"mode": "train", "epoch": 50, "iter": 31350, "lr": 5e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.3745, "decode.acc_seg": 69.27977, "aux.loss_seg": 0.25431, "aux.acc_seg": 62.54269, "loss": 0.6288, "time": 0.4032} -{"mode": "train", "epoch": 50, "iter": 31400, "lr": 5e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.37433, "decode.acc_seg": 68.92883, "aux.loss_seg": 0.25136, "aux.acc_seg": 62.45717, "loss": 0.62569, "time": 0.40353} -{"mode": "train", "epoch": 50, "iter": 31450, "lr": 5e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.36652, "decode.acc_seg": 68.82651, "aux.loss_seg": 0.24235, "aux.acc_seg": 62.52338, "loss": 0.60887, "time": 0.40381} -{"mode": "train", "epoch": 50, "iter": 31500, "lr": 5e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.36911, "decode.acc_seg": 68.80954, "aux.loss_seg": 0.24964, "aux.acc_seg": 62.28037, "loss": 0.61875, "time": 0.40437} -{"mode": "train", "epoch": 50, "iter": 31550, "lr": 5e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.35624, "decode.acc_seg": 69.82139, "aux.loss_seg": 0.2374, "aux.acc_seg": 63.63891, "loss": 0.59364, "time": 0.40323} -{"mode": "train", "epoch": 51, "iter": 31600, "lr": 5e-05, "memory": 22018, "data_time": 0.16983, "decode.loss_seg": 0.37272, "decode.acc_seg": 69.41614, "aux.loss_seg": 0.252, "aux.acc_seg": 63.11225, "loss": 0.62472, "time": 0.56412} -{"mode": "train", "epoch": 51, "iter": 31650, "lr": 5e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.37254, "decode.acc_seg": 69.99251, "aux.loss_seg": 0.24984, "aux.acc_seg": 63.36988, "loss": 0.62238, "time": 0.40252} -{"mode": "train", "epoch": 51, "iter": 31700, "lr": 5e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.35504, "decode.acc_seg": 69.35565, "aux.loss_seg": 0.24734, "aux.acc_seg": 62.49535, "loss": 0.60238, "time": 0.40221} -{"mode": "train", "epoch": 51, "iter": 31750, "lr": 5e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.3463, "decode.acc_seg": 70.63434, "aux.loss_seg": 0.24069, "aux.acc_seg": 64.06262, "loss": 0.58699, "time": 0.40201} -{"mode": "train", "epoch": 51, "iter": 31800, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.37664, "decode.acc_seg": 69.30888, "aux.loss_seg": 0.25637, "aux.acc_seg": 62.77412, "loss": 0.63301, "time": 0.40238} -{"mode": "train", "epoch": 51, "iter": 31850, "lr": 5e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.36486, "decode.acc_seg": 69.58267, "aux.loss_seg": 0.24666, "aux.acc_seg": 63.05177, "loss": 0.61152, "time": 0.40176} -{"mode": "train", "epoch": 51, "iter": 31900, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.3526, "decode.acc_seg": 68.75751, "aux.loss_seg": 0.23776, "aux.acc_seg": 62.68612, "loss": 0.59036, "time": 0.40222} -{"mode": "train", "epoch": 51, "iter": 31950, "lr": 5e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.35557, "decode.acc_seg": 69.15642, "aux.loss_seg": 0.24557, "aux.acc_seg": 62.38784, "loss": 0.60114, "time": 0.40199} -{"mode": "val", "epoch": 51, "iter": 32000, "lr": 5e-05, "mIoU": 0.4288, "mAcc": 0.557, "aAcc": 0.8062, "IoU.wall": 0.7386, "IoU.building": 0.8048, "IoU.sky": 0.9353, "IoU.floor": 0.7974, "IoU.tree": 0.7241, "IoU.ceiling": 0.815, "IoU.road": 0.8159, "IoU.bed ": 0.8314, "IoU.windowpane": 0.5778, "IoU.grass": 0.6642, "IoU.cabinet": 0.5837, "IoU.sidewalk": 0.5983, "IoU.person": 0.7599, "IoU.earth": 0.3591, "IoU.door": 0.3829, "IoU.table": 0.5218, "IoU.mountain": 0.5723, "IoU.plant": 0.4882, "IoU.curtain": 0.685, "IoU.chair": 0.5034, "IoU.car": 0.814, "IoU.water": 0.601, "IoU.painting": 0.6733, "IoU.sofa": 0.5402, "IoU.shelf": 0.3458, "IoU.house": 0.5037, "IoU.sea": 0.555, "IoU.mirror": 0.5789, "IoU.rug": 0.6362, "IoU.field": 0.2741, "IoU.armchair": 0.3061, "IoU.seat": 0.5779, "IoU.fence": 0.4219, "IoU.desk": 0.402, "IoU.rock": 0.4705, "IoU.wardrobe": 0.5158, "IoU.lamp": 0.5252, "IoU.bathtub": 0.7318, "IoU.railing": 0.3514, "IoU.cushion": 0.4562, "IoU.base": 0.2739, "IoU.box": 0.1947, "IoU.column": 0.4113, "IoU.signboard": 0.3263, "IoU.chest of drawers": 0.3591, "IoU.counter": 0.2694, "IoU.sand": 0.2896, "IoU.sink": 0.6337, "IoU.skyscraper": 0.6638, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5939, "IoU.grandstand": 0.2973, "IoU.path": 0.1953, "IoU.stairs": 0.2547, "IoU.runway": 0.69, "IoU.case": 0.3849, "IoU.pool table": 0.904, "IoU.pillow": 0.495, "IoU.screen door": 0.502, "IoU.stairway": 0.2692, "IoU.river": 0.0663, "IoU.bridge": 0.4971, "IoU.bookcase": 0.3532, "IoU.blind": NaN, "IoU.coffee table": 0.5201, "IoU.toilet": 0.7668, "IoU.flower": 0.3629, "IoU.book": 0.3926, "IoU.hill": 0.1249, "IoU.bench": 0.3829, "IoU.countertop": 0.5379, "IoU.stove": 0.5921, "IoU.palm": 0.4044, "IoU.kitchen island": 0.3412, "IoU.computer": 0.5147, "IoU.swivel chair": 0.4161, "IoU.boat": 0.4395, "IoU.bar": 0.3541, "IoU.arcade machine": 0.6905, "IoU.hovel": 0.3512, "IoU.bus": 0.7691, "IoU.towel": 0.5727, "IoU.light": 0.4599, "IoU.truck": 0.2768, "IoU.tower": 0.3558, "IoU.chandelier": 0.6085, "IoU.awning": 0.2791, "IoU.streetlight": 0.1815, "IoU.booth": 0.4778, "IoU.television receiver": NaN, "IoU.airplane": 0.483, "IoU.dirt track": 0.0846, "IoU.apparel": 0.2694, "IoU.pole": 0.1089, "IoU.land": 0.0, "IoU.bannister": 0.091, "IoU.escalator": 0.2605, "IoU.ottoman": 0.3073, "IoU.bottle": NaN, "IoU.buffet": 0.4139, "IoU.poster": 0.2545, "IoU.stage": 0.1127, "IoU.van": 0.3693, "IoU.ship": 0.224, "IoU.fountain": 0.1966, "IoU.conveyer belt": 0.5311, "IoU.canopy": 0.1676, "IoU.washer": 0.7011, "IoU.plaything": 0.1263, "IoU.swimming pool": 0.7039, "IoU.stool": 0.3158, "IoU.barrel": 0.1462, "IoU.basket": 0.2078, "IoU.waterfall": 0.3805, "IoU.tent": 0.936, "IoU.bag": 0.1512, "IoU.minibike": 0.6299, "IoU.cradle": NaN, "IoU.oven": 0.2115, "IoU.ball": 0.4056, "IoU.food": 0.5416, "IoU.step": 0.0426, "IoU.tank": 0.5135, "IoU.trade name": 0.1701, "IoU.microwave": 0.3237, "IoU.pot": 0.4405, "IoU.animal": NaN, "IoU.bicycle": 0.4582, "IoU.lake": 0.4011, "IoU.dishwasher": 0.4258, "IoU.screen": 0.5822, "IoU.blanket": 0.0517, "IoU.sculpture": 0.4237, "IoU.hood": 0.5086, "IoU.sconce": 0.304, "IoU.vase": 0.267, "IoU.traffic light": 0.1946, "IoU.tray": 0.0199, "IoU.ashcan": 0.2969, "IoU.fan": 0.465, "IoU.pier": 0.5128, "IoU.crt screen": 0.0981, "IoU.plate": 0.4564, "IoU.monitor": 0.433, "IoU.bulletin board": 0.3439, "IoU.shower": 0.0036, "IoU.radiator": 0.4648, "IoU.glass": 0.0779, "IoU.clock": 0.3118, "IoU.flag": 0.2931, "Acc.wall": 0.8538, "Acc.building": 0.9057, "Acc.sky": 0.9665, "Acc.floor": 0.893, "Acc.tree": 0.8632, "Acc.ceiling": 0.9031, "Acc.road": 0.8831, "Acc.bed ": 0.9478, "Acc.windowpane": 0.7541, "Acc.grass": 0.827, "Acc.cabinet": 0.7218, "Acc.sidewalk": 0.7632, "Acc.person": 0.8896, "Acc.earth": 0.5042, "Acc.door": 0.5338, "Acc.table": 0.7153, "Acc.mountain": 0.7233, "Acc.plant": 0.6074, "Acc.curtain": 0.8149, "Acc.chair": 0.6704, "Acc.car": 0.9048, "Acc.water": 0.7956, "Acc.painting": 0.8541, "Acc.sofa": 0.7372, "Acc.shelf": 0.4659, "Acc.house": 0.7695, "Acc.sea": 0.6949, "Acc.mirror": 0.6908, "Acc.rug": 0.6851, "Acc.field": 0.4342, "Acc.armchair": 0.4282, "Acc.seat": 0.8088, "Acc.fence": 0.5931, "Acc.desk": 0.6322, "Acc.rock": 0.759, "Acc.wardrobe": 0.6354, "Acc.lamp": 0.6545, "Acc.bathtub": 0.8244, "Acc.railing": 0.4769, "Acc.cushion": 0.5785, "Acc.base": 0.477, "Acc.box": 0.2632, "Acc.column": 0.5303, "Acc.signboard": 0.4723, "Acc.chest of drawers": 0.5207, "Acc.counter": 0.3594, "Acc.sand": 0.5177, "Acc.sink": 0.7035, "Acc.skyscraper": 0.8972, "Acc.fireplace": NaN, "Acc.refrigerator": 0.761, "Acc.grandstand": 0.6168, "Acc.path": 0.3114, "Acc.stairs": 0.3089, "Acc.runway": 0.9586, "Acc.case": 0.4996, "Acc.pool table": 0.9465, "Acc.pillow": 0.6458, "Acc.screen door": 0.6222, "Acc.stairway": 0.3743, "Acc.river": 0.1157, "Acc.bridge": 0.744, "Acc.bookcase": 0.4648, "Acc.blind": NaN, "Acc.coffee table": 0.7311, "Acc.toilet": 0.859, "Acc.flower": 0.496, "Acc.book": 0.539, "Acc.hill": 0.185, "Acc.bench": 0.4619, "Acc.countertop": 0.7424, "Acc.stove": 0.6671, "Acc.palm": 0.6895, "Acc.kitchen island": 0.7665, "Acc.computer": 0.6835, "Acc.swivel chair": 0.5692, "Acc.boat": 0.5434, "Acc.bar": 0.5171, "Acc.arcade machine": 0.7487, "Acc.hovel": 0.3913, "Acc.bus": 0.904, "Acc.towel": 0.6859, "Acc.light": 0.4985, "Acc.truck": 0.3984, "Acc.tower": 0.5644, "Acc.chandelier": 0.7674, "Acc.awning": 0.3337, "Acc.streetlight": 0.2534, "Acc.booth": 0.5763, "Acc.television receiver": NaN, "Acc.airplane": 0.6164, "Acc.dirt track": 0.3456, "Acc.apparel": 0.449, "Acc.pole": 0.1418, "Acc.land": 0.0, "Acc.bannister": 0.1104, "Acc.escalator": 0.4441, "Acc.ottoman": 0.4498, "Acc.bottle": NaN, "Acc.buffet": 0.5183, "Acc.poster": 0.3173, "Acc.stage": 0.1902, "Acc.van": 0.471, "Acc.ship": 0.3573, "Acc.fountain": 0.2158, "Acc.conveyer belt": 0.9059, "Acc.canopy": 0.2186, "Acc.washer": 0.7746, "Acc.plaything": 0.1576, "Acc.swimming pool": 0.7573, "Acc.stool": 0.3943, "Acc.barrel": 0.6505, "Acc.basket": 0.2965, "Acc.waterfall": 0.4855, "Acc.tent": 0.9829, "Acc.bag": 0.1904, "Acc.minibike": 0.7719, "Acc.cradle": NaN, "Acc.oven": 0.351, "Acc.ball": 0.4742, "Acc.food": 0.6272, "Acc.step": 0.0517, "Acc.tank": 0.5829, "Acc.trade name": 0.1782, "Acc.microwave": 0.3641, "Acc.pot": 0.5217, "Acc.animal": NaN, "Acc.bicycle": 0.7626, "Acc.lake": 0.4542, "Acc.dishwasher": 0.5226, "Acc.screen": 0.8945, "Acc.blanket": 0.0575, "Acc.sculpture": 0.5423, "Acc.hood": 0.549, "Acc.sconce": 0.3432, "Acc.vase": 0.3855, "Acc.traffic light": 0.2925, "Acc.tray": 0.027, "Acc.ashcan": 0.3654, "Acc.fan": 0.6623, "Acc.pier": 0.795, "Acc.crt screen": 0.1066, "Acc.plate": 0.5579, "Acc.monitor": 0.7022, "Acc.bulletin board": 0.5768, "Acc.shower": 0.0354, "Acc.radiator": 0.5636, "Acc.glass": 0.0889, "Acc.clock": 0.3573, "Acc.flag": 0.3482} -{"mode": "train", "epoch": 51, "iter": 32050, "lr": 5e-05, "memory": 22018, "data_time": 1.78661, "decode.loss_seg": 0.3788, "decode.acc_seg": 69.11531, "aux.loss_seg": 0.26035, "aux.acc_seg": 62.057, "loss": 0.63915, "time": 2.18281} -{"mode": "train", "epoch": 51, "iter": 32100, "lr": 5e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.36756, "decode.acc_seg": 69.20156, "aux.loss_seg": 0.24636, "aux.acc_seg": 62.72851, "loss": 0.61392, "time": 0.40305} -{"mode": "train", "epoch": 51, "iter": 32150, "lr": 5e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.35556, "decode.acc_seg": 68.2796, "aux.loss_seg": 0.2368, "aux.acc_seg": 62.43313, "loss": 0.59235, "time": 0.40269} -{"mode": "train", "epoch": 52, "iter": 32200, "lr": 5e-05, "memory": 22018, "data_time": 0.18222, "decode.loss_seg": 0.35905, "decode.acc_seg": 69.33549, "aux.loss_seg": 0.24005, "aux.acc_seg": 63.17744, "loss": 0.5991, "time": 0.57667} -{"mode": "train", "epoch": 52, "iter": 32250, "lr": 5e-05, "memory": 22018, "data_time": 0.01031, "decode.loss_seg": 0.37137, "decode.acc_seg": 69.34077, "aux.loss_seg": 0.25248, "aux.acc_seg": 62.90359, "loss": 0.62385, "time": 0.40348} -{"mode": "train", "epoch": 52, "iter": 32300, "lr": 5e-05, "memory": 22018, "data_time": 0.01043, "decode.loss_seg": 0.35528, "decode.acc_seg": 70.50534, "aux.loss_seg": 0.24514, "aux.acc_seg": 63.85631, "loss": 0.60041, "time": 0.40345} -{"mode": "train", "epoch": 52, "iter": 32350, "lr": 5e-05, "memory": 22018, "data_time": 0.01048, "decode.loss_seg": 0.35063, "decode.acc_seg": 69.77944, "aux.loss_seg": 0.24047, "aux.acc_seg": 63.40511, "loss": 0.5911, "time": 0.4036} -{"mode": "train", "epoch": 52, "iter": 32400, "lr": 5e-05, "memory": 22018, "data_time": 0.01055, "decode.loss_seg": 0.36604, "decode.acc_seg": 69.57474, "aux.loss_seg": 0.25006, "aux.acc_seg": 62.80232, "loss": 0.61611, "time": 0.40372} -{"mode": "train", "epoch": 52, "iter": 32450, "lr": 5e-05, "memory": 22018, "data_time": 0.01065, "decode.loss_seg": 0.35359, "decode.acc_seg": 68.88191, "aux.loss_seg": 0.23767, "aux.acc_seg": 62.57785, "loss": 0.59125, "time": 0.40411} -{"mode": "train", "epoch": 52, "iter": 32500, "lr": 5e-05, "memory": 22018, "data_time": 0.01066, "decode.loss_seg": 0.36013, "decode.acc_seg": 70.12048, "aux.loss_seg": 0.24932, "aux.acc_seg": 63.36302, "loss": 0.60945, "time": 0.40384} -{"mode": "train", "epoch": 52, "iter": 32550, "lr": 5e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.37051, "decode.acc_seg": 69.02983, "aux.loss_seg": 0.25042, "aux.acc_seg": 62.71657, "loss": 0.62093, "time": 0.40351} -{"mode": "train", "epoch": 52, "iter": 32600, "lr": 5e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.36067, "decode.acc_seg": 68.89917, "aux.loss_seg": 0.24723, "aux.acc_seg": 62.19028, "loss": 0.6079, "time": 0.40297} -{"mode": "train", "epoch": 52, "iter": 32650, "lr": 5e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.36257, "decode.acc_seg": 69.00103, "aux.loss_seg": 0.24565, "aux.acc_seg": 62.68378, "loss": 0.60823, "time": 0.40351} -{"mode": "train", "epoch": 52, "iter": 32700, "lr": 5e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.3774, "decode.acc_seg": 69.09062, "aux.loss_seg": 0.25169, "aux.acc_seg": 62.73563, "loss": 0.62909, "time": 0.4021} -{"mode": "train", "epoch": 52, "iter": 32750, "lr": 5e-05, "memory": 22018, "data_time": 0.01059, "decode.loss_seg": 0.3603, "decode.acc_seg": 69.09954, "aux.loss_seg": 0.24251, "aux.acc_seg": 62.85097, "loss": 0.60281, "time": 0.40332} -{"mode": "train", "epoch": 52, "iter": 32800, "lr": 5e-05, "memory": 22018, "data_time": 0.01039, "decode.loss_seg": 0.37035, "decode.acc_seg": 69.32997, "aux.loss_seg": 0.24755, "aux.acc_seg": 62.66877, "loss": 0.6179, "time": 0.40375} -{"mode": "train", "epoch": 53, "iter": 32850, "lr": 5e-05, "memory": 22018, "data_time": 0.17066, "decode.loss_seg": 0.37029, "decode.acc_seg": 68.9973, "aux.loss_seg": 0.24504, "aux.acc_seg": 62.83556, "loss": 0.61533, "time": 0.56382} -{"mode": "train", "epoch": 53, "iter": 32900, "lr": 5e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.36127, "decode.acc_seg": 69.8469, "aux.loss_seg": 0.24795, "aux.acc_seg": 63.18522, "loss": 0.60921, "time": 0.40165} -{"mode": "train", "epoch": 53, "iter": 32950, "lr": 5e-05, "memory": 22018, "data_time": 0.00951, "decode.loss_seg": 0.35741, "decode.acc_seg": 70.22215, "aux.loss_seg": 0.24749, "aux.acc_seg": 63.43333, "loss": 0.6049, "time": 0.4016} -{"mode": "train", "epoch": 53, "iter": 33000, "lr": 5e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.35775, "decode.acc_seg": 69.04786, "aux.loss_seg": 0.23827, "aux.acc_seg": 63.11953, "loss": 0.59602, "time": 0.40124} -{"mode": "train", "epoch": 53, "iter": 33050, "lr": 5e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.35436, "decode.acc_seg": 70.2979, "aux.loss_seg": 0.24896, "aux.acc_seg": 63.26586, "loss": 0.60332, "time": 0.40084} -{"mode": "train", "epoch": 53, "iter": 33100, "lr": 5e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.34438, "decode.acc_seg": 70.01888, "aux.loss_seg": 0.24114, "aux.acc_seg": 63.45704, "loss": 0.58552, "time": 0.40109} -{"mode": "train", "epoch": 53, "iter": 33150, "lr": 5e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.35321, "decode.acc_seg": 69.52607, "aux.loss_seg": 0.24225, "aux.acc_seg": 63.078, "loss": 0.59547, "time": 0.4009} -{"mode": "train", "epoch": 53, "iter": 33200, "lr": 5e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.33486, "decode.acc_seg": 69.4043, "aux.loss_seg": 0.22814, "aux.acc_seg": 63.29909, "loss": 0.563, "time": 0.40173} -{"mode": "train", "epoch": 53, "iter": 33250, "lr": 5e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.35512, "decode.acc_seg": 69.37394, "aux.loss_seg": 0.24537, "aux.acc_seg": 62.9818, "loss": 0.60049, "time": 0.40167} -{"mode": "train", "epoch": 53, "iter": 33300, "lr": 5e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.35438, "decode.acc_seg": 69.20657, "aux.loss_seg": 0.23926, "aux.acc_seg": 63.05345, "loss": 0.59363, "time": 0.40173} -{"mode": "train", "epoch": 53, "iter": 33350, "lr": 5e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.35013, "decode.acc_seg": 69.26796, "aux.loss_seg": 0.23768, "aux.acc_seg": 63.04308, "loss": 0.58781, "time": 0.40128} -{"mode": "train", "epoch": 53, "iter": 33400, "lr": 5e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.3572, "decode.acc_seg": 69.74497, "aux.loss_seg": 0.24478, "aux.acc_seg": 63.15597, "loss": 0.60197, "time": 0.40149} -{"mode": "train", "epoch": 54, "iter": 33450, "lr": 5e-05, "memory": 22018, "data_time": 0.17804, "decode.loss_seg": 0.37028, "decode.acc_seg": 70.25378, "aux.loss_seg": 0.25478, "aux.acc_seg": 63.30232, "loss": 0.62506, "time": 0.57159} -{"mode": "train", "epoch": 54, "iter": 33500, "lr": 5e-05, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.36256, "decode.acc_seg": 69.24292, "aux.loss_seg": 0.25765, "aux.acc_seg": 62.07811, "loss": 0.62021, "time": 0.4018} -{"mode": "train", "epoch": 54, "iter": 33550, "lr": 5e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.34919, "decode.acc_seg": 68.74418, "aux.loss_seg": 0.23756, "aux.acc_seg": 62.34583, "loss": 0.58674, "time": 0.40193} -{"mode": "train", "epoch": 54, "iter": 33600, "lr": 5e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.3512, "decode.acc_seg": 69.74139, "aux.loss_seg": 0.24565, "aux.acc_seg": 63.05839, "loss": 0.59686, "time": 0.40194} -{"mode": "train", "epoch": 54, "iter": 33650, "lr": 5e-05, "memory": 22018, "data_time": 0.01011, "decode.loss_seg": 0.3542, "decode.acc_seg": 70.28535, "aux.loss_seg": 0.24368, "aux.acc_seg": 63.71429, "loss": 0.59787, "time": 0.40182} -{"mode": "train", "epoch": 54, "iter": 33700, "lr": 5e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.36657, "decode.acc_seg": 68.85735, "aux.loss_seg": 0.23968, "aux.acc_seg": 63.11966, "loss": 0.60626, "time": 0.40197} -{"mode": "train", "epoch": 54, "iter": 33750, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.34815, "decode.acc_seg": 69.47061, "aux.loss_seg": 0.24238, "aux.acc_seg": 62.83999, "loss": 0.59053, "time": 0.40238} -{"mode": "train", "epoch": 54, "iter": 33800, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.34311, "decode.acc_seg": 70.63885, "aux.loss_seg": 0.23058, "aux.acc_seg": 64.75921, "loss": 0.5737, "time": 0.40179} -{"mode": "train", "epoch": 54, "iter": 33850, "lr": 5e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.36317, "decode.acc_seg": 69.98955, "aux.loss_seg": 0.24924, "aux.acc_seg": 63.22242, "loss": 0.6124, "time": 0.40247} -{"mode": "train", "epoch": 54, "iter": 33900, "lr": 5e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.35034, "decode.acc_seg": 69.4053, "aux.loss_seg": 0.23898, "aux.acc_seg": 62.88607, "loss": 0.58932, "time": 0.40288} -{"mode": "train", "epoch": 54, "iter": 33950, "lr": 5e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.34785, "decode.acc_seg": 70.0841, "aux.loss_seg": 0.24313, "aux.acc_seg": 63.17716, "loss": 0.59098, "time": 0.40191} -{"mode": "train", "epoch": 54, "iter": 34000, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.34895, "decode.acc_seg": 69.41773, "aux.loss_seg": 0.23175, "aux.acc_seg": 63.6193, "loss": 0.5807, "time": 0.40277} -{"mode": "train", "epoch": 54, "iter": 34050, "lr": 5e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.34936, "decode.acc_seg": 70.78976, "aux.loss_seg": 0.24037, "aux.acc_seg": 64.33579, "loss": 0.58973, "time": 0.40229} -{"mode": "train", "epoch": 55, "iter": 34100, "lr": 5e-05, "memory": 22018, "data_time": 0.16404, "decode.loss_seg": 0.35136, "decode.acc_seg": 68.16422, "aux.loss_seg": 0.23509, "aux.acc_seg": 62.01516, "loss": 0.58645, "time": 0.55868} -{"mode": "train", "epoch": 55, "iter": 34150, "lr": 5e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.35402, "decode.acc_seg": 70.04204, "aux.loss_seg": 0.24214, "aux.acc_seg": 63.81602, "loss": 0.59616, "time": 0.40311} -{"mode": "train", "epoch": 55, "iter": 34200, "lr": 5e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.35433, "decode.acc_seg": 69.48983, "aux.loss_seg": 0.2412, "aux.acc_seg": 63.09441, "loss": 0.59553, "time": 0.40346} -{"mode": "train", "epoch": 55, "iter": 34250, "lr": 5e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.34533, "decode.acc_seg": 69.79937, "aux.loss_seg": 0.23777, "aux.acc_seg": 63.39356, "loss": 0.58309, "time": 0.40331} -{"mode": "train", "epoch": 55, "iter": 34300, "lr": 5e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.35237, "decode.acc_seg": 70.19066, "aux.loss_seg": 0.24455, "aux.acc_seg": 63.32068, "loss": 0.59692, "time": 0.40295} -{"mode": "train", "epoch": 55, "iter": 34350, "lr": 5e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.33869, "decode.acc_seg": 69.39563, "aux.loss_seg": 0.22777, "aux.acc_seg": 63.3985, "loss": 0.56646, "time": 0.40273} -{"mode": "train", "epoch": 55, "iter": 34400, "lr": 5e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.349, "decode.acc_seg": 69.7606, "aux.loss_seg": 0.24101, "aux.acc_seg": 63.27645, "loss": 0.59, "time": 0.40289} -{"mode": "train", "epoch": 55, "iter": 34450, "lr": 5e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.35083, "decode.acc_seg": 70.51504, "aux.loss_seg": 0.24403, "aux.acc_seg": 63.7701, "loss": 0.59485, "time": 0.40298} -{"mode": "train", "epoch": 55, "iter": 34500, "lr": 5e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.36609, "decode.acc_seg": 69.18948, "aux.loss_seg": 0.24555, "aux.acc_seg": 62.69812, "loss": 0.61164, "time": 0.4028} -{"mode": "train", "epoch": 55, "iter": 34550, "lr": 5e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.35449, "decode.acc_seg": 69.10873, "aux.loss_seg": 0.24043, "aux.acc_seg": 62.74906, "loss": 0.59492, "time": 0.40285} -{"mode": "train", "epoch": 55, "iter": 34600, "lr": 5e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.34763, "decode.acc_seg": 68.81761, "aux.loss_seg": 0.23845, "aux.acc_seg": 62.32142, "loss": 0.58608, "time": 0.40372} -{"mode": "train", "epoch": 55, "iter": 34650, "lr": 5e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.35419, "decode.acc_seg": 70.37864, "aux.loss_seg": 0.23891, "aux.acc_seg": 64.26142, "loss": 0.5931, "time": 0.40237} -{"mode": "train", "epoch": 55, "iter": 34700, "lr": 5e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.3521, "decode.acc_seg": 69.88167, "aux.loss_seg": 0.24358, "aux.acc_seg": 63.36251, "loss": 0.59568, "time": 0.40283} -{"mode": "train", "epoch": 56, "iter": 34750, "lr": 5e-05, "memory": 22018, "data_time": 0.16396, "decode.loss_seg": 0.33726, "decode.acc_seg": 70.05897, "aux.loss_seg": 0.23426, "aux.acc_seg": 63.53219, "loss": 0.57152, "time": 0.55892} -{"mode": "train", "epoch": 56, "iter": 34800, "lr": 5e-05, "memory": 22018, "data_time": 0.00681, "decode.loss_seg": 0.33896, "decode.acc_seg": 71.03244, "aux.loss_seg": 0.2416, "aux.acc_seg": 64.16055, "loss": 0.58057, "time": 0.40037} -{"mode": "train", "epoch": 56, "iter": 34850, "lr": 5e-05, "memory": 22018, "data_time": 0.00606, "decode.loss_seg": 0.33015, "decode.acc_seg": 70.1088, "aux.loss_seg": 0.22918, "aux.acc_seg": 63.72515, "loss": 0.55933, "time": 0.40074} -{"mode": "train", "epoch": 56, "iter": 34900, "lr": 5e-05, "memory": 22018, "data_time": 0.00695, "decode.loss_seg": 0.33442, "decode.acc_seg": 68.82808, "aux.loss_seg": 0.23366, "aux.acc_seg": 62.36783, "loss": 0.56808, "time": 0.40086} -{"mode": "train", "epoch": 56, "iter": 34950, "lr": 5e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.33736, "decode.acc_seg": 69.92866, "aux.loss_seg": 0.2394, "aux.acc_seg": 63.08096, "loss": 0.57676, "time": 0.39993} -{"mode": "train", "epoch": 56, "iter": 35000, "lr": 5e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.36106, "decode.acc_seg": 68.90637, "aux.loss_seg": 0.24138, "aux.acc_seg": 63.06185, "loss": 0.60244, "time": 0.40066} -{"mode": "train", "epoch": 56, "iter": 35050, "lr": 5e-05, "memory": 22018, "data_time": 0.00685, "decode.loss_seg": 0.35601, "decode.acc_seg": 70.09074, "aux.loss_seg": 0.24701, "aux.acc_seg": 63.30327, "loss": 0.60301, "time": 0.40043} -{"mode": "train", "epoch": 56, "iter": 35100, "lr": 5e-05, "memory": 22018, "data_time": 0.00677, "decode.loss_seg": 0.35097, "decode.acc_seg": 69.6854, "aux.loss_seg": 0.24045, "aux.acc_seg": 63.15963, "loss": 0.59142, "time": 0.40161} -{"mode": "train", "epoch": 56, "iter": 35150, "lr": 5e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.35922, "decode.acc_seg": 69.44579, "aux.loss_seg": 0.24467, "aux.acc_seg": 62.96102, "loss": 0.60389, "time": 0.40132} -{"mode": "train", "epoch": 56, "iter": 35200, "lr": 5e-05, "memory": 22018, "data_time": 0.00677, "decode.loss_seg": 0.34745, "decode.acc_seg": 69.41966, "aux.loss_seg": 0.23502, "aux.acc_seg": 63.30462, "loss": 0.58248, "time": 0.40122} -{"mode": "train", "epoch": 56, "iter": 35250, "lr": 5e-05, "memory": 22018, "data_time": 0.00629, "decode.loss_seg": 0.34239, "decode.acc_seg": 70.0953, "aux.loss_seg": 0.23451, "aux.acc_seg": 63.66228, "loss": 0.5769, "time": 0.39998} -{"mode": "train", "epoch": 56, "iter": 35300, "lr": 5e-05, "memory": 22018, "data_time": 0.0064, "decode.loss_seg": 0.34948, "decode.acc_seg": 70.58918, "aux.loss_seg": 0.24211, "aux.acc_seg": 64.05586, "loss": 0.59159, "time": 0.39983} -{"mode": "train", "epoch": 57, "iter": 35350, "lr": 5e-05, "memory": 22018, "data_time": 0.17335, "decode.loss_seg": 0.35915, "decode.acc_seg": 69.25431, "aux.loss_seg": 0.24154, "aux.acc_seg": 63.09085, "loss": 0.60069, "time": 0.56703} -{"mode": "train", "epoch": 57, "iter": 35400, "lr": 5e-05, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.34313, "decode.acc_seg": 69.8344, "aux.loss_seg": 0.23753, "aux.acc_seg": 63.17525, "loss": 0.58066, "time": 0.40176} -{"mode": "train", "epoch": 57, "iter": 35450, "lr": 5e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.33364, "decode.acc_seg": 70.37877, "aux.loss_seg": 0.23411, "aux.acc_seg": 64.04104, "loss": 0.56775, "time": 0.40085} -{"mode": "train", "epoch": 57, "iter": 35500, "lr": 5e-05, "memory": 22018, "data_time": 0.00758, "decode.loss_seg": 0.34838, "decode.acc_seg": 70.11395, "aux.loss_seg": 0.24958, "aux.acc_seg": 63.14174, "loss": 0.59796, "time": 0.40003} -{"mode": "train", "epoch": 57, "iter": 35550, "lr": 5e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.34662, "decode.acc_seg": 69.58456, "aux.loss_seg": 0.23487, "aux.acc_seg": 63.47329, "loss": 0.58149, "time": 0.40022} -{"mode": "train", "epoch": 57, "iter": 35600, "lr": 5e-05, "memory": 22018, "data_time": 0.00704, "decode.loss_seg": 0.34135, "decode.acc_seg": 70.54642, "aux.loss_seg": 0.23519, "aux.acc_seg": 64.16537, "loss": 0.57654, "time": 0.40149} -{"mode": "train", "epoch": 57, "iter": 35650, "lr": 5e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.3555, "decode.acc_seg": 69.25607, "aux.loss_seg": 0.24565, "aux.acc_seg": 62.63483, "loss": 0.60116, "time": 0.40085} -{"mode": "train", "epoch": 57, "iter": 35700, "lr": 5e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.34028, "decode.acc_seg": 69.58496, "aux.loss_seg": 0.23557, "aux.acc_seg": 62.94167, "loss": 0.57585, "time": 0.40008} -{"mode": "train", "epoch": 57, "iter": 35750, "lr": 5e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.34132, "decode.acc_seg": 70.05781, "aux.loss_seg": 0.23342, "aux.acc_seg": 63.8079, "loss": 0.57474, "time": 0.40072} -{"mode": "train", "epoch": 57, "iter": 35800, "lr": 5e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.34047, "decode.acc_seg": 69.58047, "aux.loss_seg": 0.23665, "aux.acc_seg": 62.97946, "loss": 0.57713, "time": 0.40064} -{"mode": "train", "epoch": 57, "iter": 35850, "lr": 5e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.33489, "decode.acc_seg": 69.06576, "aux.loss_seg": 0.23513, "aux.acc_seg": 62.49381, "loss": 0.57002, "time": 0.40172} -{"mode": "train", "epoch": 57, "iter": 35900, "lr": 5e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.36215, "decode.acc_seg": 69.58594, "aux.loss_seg": 0.2434, "aux.acc_seg": 63.10869, "loss": 0.60556, "time": 0.40142} -{"mode": "train", "epoch": 57, "iter": 35950, "lr": 5e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.35366, "decode.acc_seg": 69.59805, "aux.loss_seg": 0.24253, "aux.acc_seg": 63.10445, "loss": 0.59619, "time": 0.4013} -{"mode": "train", "epoch": 58, "iter": 36000, "lr": 5e-05, "memory": 22018, "data_time": 0.18029, "decode.loss_seg": 0.35278, "decode.acc_seg": 70.33235, "aux.loss_seg": 0.24115, "aux.acc_seg": 63.91179, "loss": 0.59393, "time": 0.57342} -{"mode": "train", "epoch": 58, "iter": 36050, "lr": 5e-05, "memory": 22018, "data_time": 0.0097, "decode.loss_seg": 0.33677, "decode.acc_seg": 69.61387, "aux.loss_seg": 0.23378, "aux.acc_seg": 63.2434, "loss": 0.57056, "time": 0.40148} -{"mode": "train", "epoch": 58, "iter": 36100, "lr": 5e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.34128, "decode.acc_seg": 70.08695, "aux.loss_seg": 0.23966, "aux.acc_seg": 63.5021, "loss": 0.58095, "time": 0.40128} -{"mode": "train", "epoch": 58, "iter": 36150, "lr": 5e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.33937, "decode.acc_seg": 70.95716, "aux.loss_seg": 0.23897, "aux.acc_seg": 64.31463, "loss": 0.57834, "time": 0.40191} -{"mode": "train", "epoch": 58, "iter": 36200, "lr": 5e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.35132, "decode.acc_seg": 69.97474, "aux.loss_seg": 0.23904, "aux.acc_seg": 63.72159, "loss": 0.59037, "time": 0.40163} -{"mode": "train", "epoch": 58, "iter": 36250, "lr": 5e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.34667, "decode.acc_seg": 70.29618, "aux.loss_seg": 0.24364, "aux.acc_seg": 63.65963, "loss": 0.59031, "time": 0.40332} -{"mode": "train", "epoch": 58, "iter": 36300, "lr": 5e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.336, "decode.acc_seg": 69.80282, "aux.loss_seg": 0.23415, "aux.acc_seg": 63.31625, "loss": 0.57015, "time": 0.40166} -{"mode": "train", "epoch": 58, "iter": 36350, "lr": 5e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.33674, "decode.acc_seg": 70.42776, "aux.loss_seg": 0.23625, "aux.acc_seg": 63.70801, "loss": 0.573, "time": 0.40288} -{"mode": "train", "epoch": 58, "iter": 36400, "lr": 5e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.33457, "decode.acc_seg": 70.46331, "aux.loss_seg": 0.23503, "aux.acc_seg": 63.93167, "loss": 0.5696, "time": 0.40191} -{"mode": "train", "epoch": 58, "iter": 36450, "lr": 5e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.33807, "decode.acc_seg": 69.78877, "aux.loss_seg": 0.23903, "aux.acc_seg": 63.08813, "loss": 0.57711, "time": 0.40243} -{"mode": "train", "epoch": 58, "iter": 36500, "lr": 5e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.33908, "decode.acc_seg": 69.91698, "aux.loss_seg": 0.23777, "aux.acc_seg": 63.29181, "loss": 0.57684, "time": 0.40168} -{"mode": "train", "epoch": 58, "iter": 36550, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.33756, "decode.acc_seg": 68.68973, "aux.loss_seg": 0.22981, "aux.acc_seg": 62.57256, "loss": 0.56737, "time": 0.40246} -{"mode": "train", "epoch": 59, "iter": 36600, "lr": 5e-05, "memory": 22018, "data_time": 0.16648, "decode.loss_seg": 0.35049, "decode.acc_seg": 68.67909, "aux.loss_seg": 0.24129, "aux.acc_seg": 62.29941, "loss": 0.59178, "time": 0.5595} -{"mode": "train", "epoch": 59, "iter": 36650, "lr": 5e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.34877, "decode.acc_seg": 69.85577, "aux.loss_seg": 0.2421, "aux.acc_seg": 63.32004, "loss": 0.59086, "time": 0.40171} -{"mode": "train", "epoch": 59, "iter": 36700, "lr": 5e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.33045, "decode.acc_seg": 70.26412, "aux.loss_seg": 0.22595, "aux.acc_seg": 64.03419, "loss": 0.5564, "time": 0.40186} -{"mode": "train", "epoch": 59, "iter": 36750, "lr": 5e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.34253, "decode.acc_seg": 70.0876, "aux.loss_seg": 0.24031, "aux.acc_seg": 63.49732, "loss": 0.58284, "time": 0.40145} -{"mode": "train", "epoch": 59, "iter": 36800, "lr": 5e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.34312, "decode.acc_seg": 69.5993, "aux.loss_seg": 0.23872, "aux.acc_seg": 62.94199, "loss": 0.58184, "time": 0.40198} -{"mode": "train", "epoch": 59, "iter": 36850, "lr": 5e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.34255, "decode.acc_seg": 70.36242, "aux.loss_seg": 0.2357, "aux.acc_seg": 64.11427, "loss": 0.57825, "time": 0.40133} -{"mode": "train", "epoch": 59, "iter": 36900, "lr": 5e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.33933, "decode.acc_seg": 69.3939, "aux.loss_seg": 0.23079, "aux.acc_seg": 63.12914, "loss": 0.57012, "time": 0.40226} -{"mode": "train", "epoch": 59, "iter": 36950, "lr": 5e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.33505, "decode.acc_seg": 70.59842, "aux.loss_seg": 0.23653, "aux.acc_seg": 63.88889, "loss": 0.57158, "time": 0.40232} -{"mode": "train", "epoch": 59, "iter": 37000, "lr": 5e-05, "memory": 22018, "data_time": 0.0104, "decode.loss_seg": 0.33587, "decode.acc_seg": 70.29703, "aux.loss_seg": 0.23312, "aux.acc_seg": 63.74982, "loss": 0.569, "time": 0.40198} -{"mode": "train", "epoch": 59, "iter": 37050, "lr": 5e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.33545, "decode.acc_seg": 70.62461, "aux.loss_seg": 0.23362, "aux.acc_seg": 64.27295, "loss": 0.56908, "time": 0.4027} -{"mode": "train", "epoch": 59, "iter": 37100, "lr": 5e-05, "memory": 22018, "data_time": 0.01012, "decode.loss_seg": 0.33754, "decode.acc_seg": 69.42699, "aux.loss_seg": 0.23424, "aux.acc_seg": 62.97867, "loss": 0.57178, "time": 0.40236} -{"mode": "train", "epoch": 59, "iter": 37150, "lr": 5e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.33943, "decode.acc_seg": 70.26291, "aux.loss_seg": 0.23486, "aux.acc_seg": 64.1287, "loss": 0.57428, "time": 0.40292} -{"mode": "train", "epoch": 59, "iter": 37200, "lr": 5e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.35305, "decode.acc_seg": 69.38055, "aux.loss_seg": 0.23992, "aux.acc_seg": 63.01032, "loss": 0.59297, "time": 0.40292} -{"mode": "train", "epoch": 60, "iter": 37250, "lr": 5e-05, "memory": 22018, "data_time": 0.17614, "decode.loss_seg": 0.32545, "decode.acc_seg": 70.73787, "aux.loss_seg": 0.22961, "aux.acc_seg": 64.49821, "loss": 0.55506, "time": 0.5687} -{"mode": "train", "epoch": 60, "iter": 37300, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.31487, "decode.acc_seg": 70.34217, "aux.loss_seg": 0.21712, "aux.acc_seg": 64.47253, "loss": 0.53199, "time": 0.39984} -{"mode": "train", "epoch": 60, "iter": 37350, "lr": 5e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.33694, "decode.acc_seg": 69.92943, "aux.loss_seg": 0.24104, "aux.acc_seg": 62.94457, "loss": 0.57797, "time": 0.40282} -{"mode": "train", "epoch": 60, "iter": 37400, "lr": 5e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.33779, "decode.acc_seg": 69.01573, "aux.loss_seg": 0.23361, "aux.acc_seg": 62.97835, "loss": 0.5714, "time": 0.40063} -{"mode": "train", "epoch": 60, "iter": 37450, "lr": 5e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.33713, "decode.acc_seg": 70.82539, "aux.loss_seg": 0.24335, "aux.acc_seg": 63.69405, "loss": 0.58048, "time": 0.40226} -{"mode": "train", "epoch": 60, "iter": 37500, "lr": 5e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.35002, "decode.acc_seg": 69.22722, "aux.loss_seg": 0.24272, "aux.acc_seg": 62.63018, "loss": 0.59274, "time": 0.40359} -{"mode": "train", "epoch": 60, "iter": 37550, "lr": 5e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.34234, "decode.acc_seg": 70.02578, "aux.loss_seg": 0.24973, "aux.acc_seg": 63.03993, "loss": 0.59207, "time": 0.40149} -{"mode": "train", "epoch": 60, "iter": 37600, "lr": 5e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.33878, "decode.acc_seg": 69.73925, "aux.loss_seg": 0.22948, "aux.acc_seg": 63.9242, "loss": 0.56826, "time": 0.40233} -{"mode": "train", "epoch": 60, "iter": 37650, "lr": 5e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.33187, "decode.acc_seg": 71.92619, "aux.loss_seg": 0.23138, "aux.acc_seg": 65.72114, "loss": 0.56325, "time": 0.40226} -{"mode": "train", "epoch": 60, "iter": 37700, "lr": 5e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.35129, "decode.acc_seg": 70.91362, "aux.loss_seg": 0.2342, "aux.acc_seg": 64.94815, "loss": 0.58549, "time": 0.40099} -{"mode": "train", "epoch": 60, "iter": 37750, "lr": 5e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.3364, "decode.acc_seg": 69.32436, "aux.loss_seg": 0.2305, "aux.acc_seg": 63.16425, "loss": 0.5669, "time": 0.40095} -{"mode": "train", "epoch": 60, "iter": 37800, "lr": 5e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.34858, "decode.acc_seg": 69.07667, "aux.loss_seg": 0.23577, "aux.acc_seg": 63.03852, "loss": 0.58435, "time": 0.40199} -{"mode": "train", "epoch": 60, "iter": 37850, "lr": 5e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.33731, "decode.acc_seg": 70.44102, "aux.loss_seg": 0.23278, "aux.acc_seg": 64.11164, "loss": 0.57009, "time": 0.40066} -{"mode": "train", "epoch": 61, "iter": 37900, "lr": 5e-05, "memory": 22018, "data_time": 0.17485, "decode.loss_seg": 0.33085, "decode.acc_seg": 71.29487, "aux.loss_seg": 0.23568, "aux.acc_seg": 64.8092, "loss": 0.56653, "time": 0.57053} -{"mode": "train", "epoch": 61, "iter": 37950, "lr": 5e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.33607, "decode.acc_seg": 69.79838, "aux.loss_seg": 0.23122, "aux.acc_seg": 63.68266, "loss": 0.56729, "time": 0.40291} -{"mode": "train", "epoch": 61, "iter": 38000, "lr": 5e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.34377, "decode.acc_seg": 69.03157, "aux.loss_seg": 0.23754, "aux.acc_seg": 62.63786, "loss": 0.58132, "time": 0.40302} -{"mode": "train", "epoch": 61, "iter": 38050, "lr": 5e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.34144, "decode.acc_seg": 71.42195, "aux.loss_seg": 0.24061, "aux.acc_seg": 64.44486, "loss": 0.58205, "time": 0.40163} -{"mode": "train", "epoch": 61, "iter": 38100, "lr": 5e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.31829, "decode.acc_seg": 69.73325, "aux.loss_seg": 0.2209, "aux.acc_seg": 63.65154, "loss": 0.53919, "time": 0.40165} -{"mode": "train", "epoch": 61, "iter": 38150, "lr": 5e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.34119, "decode.acc_seg": 69.82263, "aux.loss_seg": 0.23326, "aux.acc_seg": 63.43134, "loss": 0.57445, "time": 0.40198} -{"mode": "train", "epoch": 61, "iter": 38200, "lr": 5e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.31845, "decode.acc_seg": 69.76598, "aux.loss_seg": 0.22832, "aux.acc_seg": 63.20966, "loss": 0.54677, "time": 0.40305} -{"mode": "train", "epoch": 61, "iter": 38250, "lr": 5e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.32249, "decode.acc_seg": 70.93022, "aux.loss_seg": 0.22752, "aux.acc_seg": 64.6133, "loss": 0.55, "time": 0.40256} -{"mode": "train", "epoch": 61, "iter": 38300, "lr": 5e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.34, "decode.acc_seg": 70.03411, "aux.loss_seg": 0.23259, "aux.acc_seg": 63.80558, "loss": 0.5726, "time": 0.40133} -{"mode": "train", "epoch": 61, "iter": 38350, "lr": 5e-05, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.32807, "decode.acc_seg": 70.53715, "aux.loss_seg": 0.23246, "aux.acc_seg": 64.14482, "loss": 0.56053, "time": 0.40145} -{"mode": "train", "epoch": 61, "iter": 38400, "lr": 5e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.33353, "decode.acc_seg": 69.67517, "aux.loss_seg": 0.23165, "aux.acc_seg": 63.4157, "loss": 0.56518, "time": 0.40342} -{"mode": "train", "epoch": 61, "iter": 38450, "lr": 5e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.3422, "decode.acc_seg": 69.76753, "aux.loss_seg": 0.23906, "aux.acc_seg": 63.32892, "loss": 0.58126, "time": 0.40249} -{"mode": "train", "epoch": 62, "iter": 38500, "lr": 5e-05, "memory": 22018, "data_time": 0.17298, "decode.loss_seg": 0.32933, "decode.acc_seg": 69.20369, "aux.loss_seg": 0.22839, "aux.acc_seg": 62.75568, "loss": 0.55771, "time": 0.56737} -{"mode": "train", "epoch": 62, "iter": 38550, "lr": 5e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.31913, "decode.acc_seg": 70.28898, "aux.loss_seg": 0.22428, "aux.acc_seg": 63.96703, "loss": 0.54341, "time": 0.40165} -{"mode": "train", "epoch": 62, "iter": 38600, "lr": 5e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.34026, "decode.acc_seg": 70.91034, "aux.loss_seg": 0.24016, "aux.acc_seg": 64.1783, "loss": 0.58042, "time": 0.40104} -{"mode": "train", "epoch": 62, "iter": 38650, "lr": 5e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.33188, "decode.acc_seg": 71.44181, "aux.loss_seg": 0.23092, "aux.acc_seg": 65.22899, "loss": 0.56281, "time": 0.40046} -{"mode": "train", "epoch": 62, "iter": 38700, "lr": 5e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.33074, "decode.acc_seg": 71.65791, "aux.loss_seg": 0.22565, "aux.acc_seg": 65.52712, "loss": 0.55639, "time": 0.40082} -{"mode": "train", "epoch": 62, "iter": 38750, "lr": 5e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.33873, "decode.acc_seg": 70.80754, "aux.loss_seg": 0.23718, "aux.acc_seg": 63.97189, "loss": 0.5759, "time": 0.40145} -{"mode": "train", "epoch": 62, "iter": 38800, "lr": 5e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.34159, "decode.acc_seg": 70.20376, "aux.loss_seg": 0.24371, "aux.acc_seg": 63.51462, "loss": 0.5853, "time": 0.40214} -{"mode": "train", "epoch": 62, "iter": 38850, "lr": 5e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.3308, "decode.acc_seg": 69.42851, "aux.loss_seg": 0.23269, "aux.acc_seg": 62.93709, "loss": 0.56349, "time": 0.40102} -{"mode": "train", "epoch": 62, "iter": 38900, "lr": 5e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.33131, "decode.acc_seg": 71.2313, "aux.loss_seg": 0.22956, "aux.acc_seg": 65.01814, "loss": 0.56086, "time": 0.40126} -{"mode": "train", "epoch": 62, "iter": 38950, "lr": 5e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.3268, "decode.acc_seg": 70.18353, "aux.loss_seg": 0.22603, "aux.acc_seg": 64.07104, "loss": 0.55283, "time": 0.40121} -{"mode": "train", "epoch": 62, "iter": 39000, "lr": 5e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.33913, "decode.acc_seg": 69.95386, "aux.loss_seg": 0.23598, "aux.acc_seg": 63.30641, "loss": 0.57511, "time": 0.4014} -{"mode": "train", "epoch": 62, "iter": 39050, "lr": 5e-05, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.33205, "decode.acc_seg": 70.24199, "aux.loss_seg": 0.22911, "aux.acc_seg": 64.10104, "loss": 0.56116, "time": 0.40141} -{"mode": "train", "epoch": 62, "iter": 39100, "lr": 5e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.33453, "decode.acc_seg": 69.15668, "aux.loss_seg": 0.23532, "aux.acc_seg": 62.69791, "loss": 0.56985, "time": 0.40111} -{"mode": "train", "epoch": 63, "iter": 39150, "lr": 5e-05, "memory": 22018, "data_time": 0.17479, "decode.loss_seg": 0.3265, "decode.acc_seg": 71.95685, "aux.loss_seg": 0.22462, "aux.acc_seg": 65.96351, "loss": 0.55113, "time": 0.56838} -{"mode": "train", "epoch": 63, "iter": 39200, "lr": 5e-05, "memory": 22018, "data_time": 0.00685, "decode.loss_seg": 0.33313, "decode.acc_seg": 69.99934, "aux.loss_seg": 0.23123, "aux.acc_seg": 63.6263, "loss": 0.56436, "time": 0.40118} -{"mode": "train", "epoch": 63, "iter": 39250, "lr": 5e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.32189, "decode.acc_seg": 71.43821, "aux.loss_seg": 0.22663, "aux.acc_seg": 65.18307, "loss": 0.54852, "time": 0.4011} -{"mode": "train", "epoch": 63, "iter": 39300, "lr": 5e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.32545, "decode.acc_seg": 70.0372, "aux.loss_seg": 0.23108, "aux.acc_seg": 63.53543, "loss": 0.55654, "time": 0.4015} -{"mode": "train", "epoch": 63, "iter": 39350, "lr": 5e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.33884, "decode.acc_seg": 70.51295, "aux.loss_seg": 0.23988, "aux.acc_seg": 63.63238, "loss": 0.57871, "time": 0.40198} -{"mode": "train", "epoch": 63, "iter": 39400, "lr": 5e-05, "memory": 22018, "data_time": 0.00673, "decode.loss_seg": 0.33592, "decode.acc_seg": 70.56034, "aux.loss_seg": 0.23261, "aux.acc_seg": 64.26057, "loss": 0.56853, "time": 0.40117} -{"mode": "train", "epoch": 63, "iter": 39450, "lr": 5e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.33127, "decode.acc_seg": 70.60562, "aux.loss_seg": 0.22773, "aux.acc_seg": 64.34089, "loss": 0.559, "time": 0.40098} -{"mode": "train", "epoch": 63, "iter": 39500, "lr": 5e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.33268, "decode.acc_seg": 69.96261, "aux.loss_seg": 0.23002, "aux.acc_seg": 63.98945, "loss": 0.5627, "time": 0.40147} -{"mode": "train", "epoch": 63, "iter": 39550, "lr": 5e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.32211, "decode.acc_seg": 70.63695, "aux.loss_seg": 0.22888, "aux.acc_seg": 64.12343, "loss": 0.551, "time": 0.40095} -{"mode": "train", "epoch": 63, "iter": 39600, "lr": 5e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.33411, "decode.acc_seg": 69.38079, "aux.loss_seg": 0.23106, "aux.acc_seg": 62.87772, "loss": 0.56517, "time": 0.40124} -{"mode": "train", "epoch": 63, "iter": 39650, "lr": 5e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.3468, "decode.acc_seg": 70.39227, "aux.loss_seg": 0.24249, "aux.acc_seg": 63.5742, "loss": 0.58929, "time": 0.40045} -{"mode": "train", "epoch": 63, "iter": 39700, "lr": 5e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.32495, "decode.acc_seg": 69.993, "aux.loss_seg": 0.22725, "aux.acc_seg": 63.55467, "loss": 0.5522, "time": 0.40065} -{"mode": "train", "epoch": 63, "iter": 39750, "lr": 5e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.34416, "decode.acc_seg": 69.82929, "aux.loss_seg": 0.23734, "aux.acc_seg": 63.2561, "loss": 0.5815, "time": 0.4011} -{"mode": "train", "epoch": 64, "iter": 39800, "lr": 5e-05, "memory": 22018, "data_time": 0.16896, "decode.loss_seg": 0.33851, "decode.acc_seg": 70.46153, "aux.loss_seg": 0.23422, "aux.acc_seg": 63.85176, "loss": 0.57273, "time": 0.56245} -{"mode": "train", "epoch": 64, "iter": 39850, "lr": 5e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.32409, "decode.acc_seg": 70.30266, "aux.loss_seg": 0.22704, "aux.acc_seg": 64.03597, "loss": 0.55113, "time": 0.40142} -{"mode": "train", "epoch": 64, "iter": 39900, "lr": 5e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.32863, "decode.acc_seg": 69.6254, "aux.loss_seg": 0.22269, "aux.acc_seg": 63.66359, "loss": 0.55132, "time": 0.40098} -{"mode": "train", "epoch": 64, "iter": 39950, "lr": 5e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.33474, "decode.acc_seg": 70.33131, "aux.loss_seg": 0.23011, "aux.acc_seg": 64.05288, "loss": 0.56484, "time": 0.40108} -{"mode": "train", "epoch": 64, "iter": 40000, "lr": 5e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.33268, "decode.acc_seg": 70.86785, "aux.loss_seg": 0.23206, "aux.acc_seg": 64.59109, "loss": 0.56474, "time": 0.40142} -{"mode": "train", "epoch": 64, "iter": 40050, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.32856, "decode.acc_seg": 69.56578, "aux.loss_seg": 0.2258, "aux.acc_seg": 63.32495, "loss": 0.55435, "time": 0.40174} -{"mode": "train", "epoch": 64, "iter": 40100, "lr": 4e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.31726, "decode.acc_seg": 70.00934, "aux.loss_seg": 0.22651, "aux.acc_seg": 63.41757, "loss": 0.54378, "time": 0.40166} -{"mode": "train", "epoch": 64, "iter": 40150, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.33902, "decode.acc_seg": 71.74836, "aux.loss_seg": 0.2335, "aux.acc_seg": 65.4018, "loss": 0.57251, "time": 0.40114} -{"mode": "train", "epoch": 64, "iter": 40200, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.3389, "decode.acc_seg": 70.39651, "aux.loss_seg": 0.23894, "aux.acc_seg": 63.6078, "loss": 0.57784, "time": 0.40147} -{"mode": "train", "epoch": 64, "iter": 40250, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.32794, "decode.acc_seg": 70.40985, "aux.loss_seg": 0.22951, "aux.acc_seg": 64.19999, "loss": 0.55745, "time": 0.40152} -{"mode": "train", "epoch": 64, "iter": 40300, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.33346, "decode.acc_seg": 69.45979, "aux.loss_seg": 0.23215, "aux.acc_seg": 62.9466, "loss": 0.56561, "time": 0.40107} -{"mode": "train", "epoch": 64, "iter": 40350, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.33786, "decode.acc_seg": 70.13974, "aux.loss_seg": 0.23188, "aux.acc_seg": 63.8845, "loss": 0.56975, "time": 0.40133} -{"mode": "train", "epoch": 65, "iter": 40400, "lr": 4e-05, "memory": 22018, "data_time": 0.17724, "decode.loss_seg": 0.33541, "decode.acc_seg": 70.70606, "aux.loss_seg": 0.23422, "aux.acc_seg": 64.2723, "loss": 0.56963, "time": 0.5696} -{"mode": "train", "epoch": 65, "iter": 40450, "lr": 4e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.31511, "decode.acc_seg": 70.30117, "aux.loss_seg": 0.22286, "aux.acc_seg": 63.91767, "loss": 0.53797, "time": 0.40191} -{"mode": "train", "epoch": 65, "iter": 40500, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.32835, "decode.acc_seg": 69.83125, "aux.loss_seg": 0.22592, "aux.acc_seg": 63.8805, "loss": 0.55427, "time": 0.40224} -{"mode": "train", "epoch": 65, "iter": 40550, "lr": 4e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.30951, "decode.acc_seg": 71.08067, "aux.loss_seg": 0.22523, "aux.acc_seg": 64.41922, "loss": 0.53474, "time": 0.40228} -{"mode": "train", "epoch": 65, "iter": 40600, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.31919, "decode.acc_seg": 71.15375, "aux.loss_seg": 0.22252, "aux.acc_seg": 64.9538, "loss": 0.5417, "time": 0.40178} -{"mode": "train", "epoch": 65, "iter": 40650, "lr": 4e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.31857, "decode.acc_seg": 70.3788, "aux.loss_seg": 0.22555, "aux.acc_seg": 63.85181, "loss": 0.54412, "time": 0.40192} -{"mode": "train", "epoch": 65, "iter": 40700, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.33631, "decode.acc_seg": 70.68261, "aux.loss_seg": 0.23497, "aux.acc_seg": 64.30808, "loss": 0.57128, "time": 0.40178} -{"mode": "train", "epoch": 65, "iter": 40750, "lr": 4e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.3157, "decode.acc_seg": 69.35095, "aux.loss_seg": 0.22357, "aux.acc_seg": 63.04039, "loss": 0.53927, "time": 0.40236} -{"mode": "train", "epoch": 65, "iter": 40800, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.33083, "decode.acc_seg": 70.82154, "aux.loss_seg": 0.2326, "aux.acc_seg": 64.33244, "loss": 0.56343, "time": 0.40187} -{"mode": "train", "epoch": 65, "iter": 40850, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.32235, "decode.acc_seg": 70.80716, "aux.loss_seg": 0.2291, "aux.acc_seg": 64.11145, "loss": 0.55145, "time": 0.40258} -{"mode": "train", "epoch": 65, "iter": 40900, "lr": 4e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.32737, "decode.acc_seg": 69.82334, "aux.loss_seg": 0.23167, "aux.acc_seg": 63.22716, "loss": 0.55903, "time": 0.40178} -{"mode": "train", "epoch": 65, "iter": 40950, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.31956, "decode.acc_seg": 70.90553, "aux.loss_seg": 0.22097, "aux.acc_seg": 64.89697, "loss": 0.54053, "time": 0.40149} -{"mode": "train", "epoch": 65, "iter": 41000, "lr": 4e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.33337, "decode.acc_seg": 70.52232, "aux.loss_seg": 0.23564, "aux.acc_seg": 63.7597, "loss": 0.56901, "time": 0.40193} -{"mode": "train", "epoch": 66, "iter": 41050, "lr": 4e-05, "memory": 22018, "data_time": 0.16986, "decode.loss_seg": 0.32442, "decode.acc_seg": 70.78749, "aux.loss_seg": 0.22707, "aux.acc_seg": 64.36965, "loss": 0.55148, "time": 0.56365} -{"mode": "train", "epoch": 66, "iter": 41100, "lr": 4e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.32388, "decode.acc_seg": 71.1883, "aux.loss_seg": 0.23364, "aux.acc_seg": 64.26552, "loss": 0.55751, "time": 0.40034} -{"mode": "train", "epoch": 66, "iter": 41150, "lr": 4e-05, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.33086, "decode.acc_seg": 70.87535, "aux.loss_seg": 0.23477, "aux.acc_seg": 64.29424, "loss": 0.56563, "time": 0.40035} -{"mode": "train", "epoch": 66, "iter": 41200, "lr": 4e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.32005, "decode.acc_seg": 70.71764, "aux.loss_seg": 0.2232, "aux.acc_seg": 64.37493, "loss": 0.54325, "time": 0.39988} -{"mode": "train", "epoch": 66, "iter": 41250, "lr": 4e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.31922, "decode.acc_seg": 70.47044, "aux.loss_seg": 0.22641, "aux.acc_seg": 63.89919, "loss": 0.54563, "time": 0.40077} -{"mode": "train", "epoch": 66, "iter": 41300, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.33365, "decode.acc_seg": 70.9111, "aux.loss_seg": 0.23697, "aux.acc_seg": 64.24646, "loss": 0.57062, "time": 0.40033} -{"mode": "train", "epoch": 66, "iter": 41350, "lr": 4e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.32377, "decode.acc_seg": 68.68239, "aux.loss_seg": 0.22807, "aux.acc_seg": 62.29685, "loss": 0.55183, "time": 0.40058} -{"mode": "train", "epoch": 66, "iter": 41400, "lr": 4e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.32442, "decode.acc_seg": 70.48089, "aux.loss_seg": 0.23062, "aux.acc_seg": 63.90794, "loss": 0.55504, "time": 0.40001} -{"mode": "train", "epoch": 66, "iter": 41450, "lr": 4e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.32516, "decode.acc_seg": 69.91754, "aux.loss_seg": 0.22618, "aux.acc_seg": 63.62809, "loss": 0.55134, "time": 0.40043} -{"mode": "train", "epoch": 66, "iter": 41500, "lr": 4e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.32827, "decode.acc_seg": 70.56415, "aux.loss_seg": 0.23517, "aux.acc_seg": 63.76614, "loss": 0.56343, "time": 0.40049} -{"mode": "train", "epoch": 66, "iter": 41550, "lr": 4e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.32385, "decode.acc_seg": 70.45511, "aux.loss_seg": 0.22464, "aux.acc_seg": 64.58324, "loss": 0.54849, "time": 0.40188} -{"mode": "train", "epoch": 66, "iter": 41600, "lr": 4e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.3025, "decode.acc_seg": 70.74268, "aux.loss_seg": 0.21872, "aux.acc_seg": 64.34953, "loss": 0.52122, "time": 0.40114} -{"mode": "train", "epoch": 67, "iter": 41650, "lr": 4e-05, "memory": 22018, "data_time": 0.1786, "decode.loss_seg": 0.31905, "decode.acc_seg": 70.59604, "aux.loss_seg": 0.22554, "aux.acc_seg": 64.20136, "loss": 0.54459, "time": 0.57149} -{"mode": "train", "epoch": 67, "iter": 41700, "lr": 4e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.32186, "decode.acc_seg": 71.00753, "aux.loss_seg": 0.22503, "aux.acc_seg": 64.88825, "loss": 0.54689, "time": 0.40134} -{"mode": "train", "epoch": 67, "iter": 41750, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.32838, "decode.acc_seg": 70.03074, "aux.loss_seg": 0.22901, "aux.acc_seg": 63.76595, "loss": 0.55738, "time": 0.40157} -{"mode": "train", "epoch": 67, "iter": 41800, "lr": 4e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.32447, "decode.acc_seg": 71.08168, "aux.loss_seg": 0.23265, "aux.acc_seg": 64.61035, "loss": 0.55712, "time": 0.40141} -{"mode": "train", "epoch": 67, "iter": 41850, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.33231, "decode.acc_seg": 70.62748, "aux.loss_seg": 0.23417, "aux.acc_seg": 64.00085, "loss": 0.56647, "time": 0.402} -{"mode": "train", "epoch": 67, "iter": 41900, "lr": 4e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.31787, "decode.acc_seg": 70.77198, "aux.loss_seg": 0.22179, "aux.acc_seg": 64.4611, "loss": 0.53966, "time": 0.40168} -{"mode": "train", "epoch": 67, "iter": 41950, "lr": 4e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.31603, "decode.acc_seg": 70.0764, "aux.loss_seg": 0.22455, "aux.acc_seg": 63.79944, "loss": 0.54058, "time": 0.4022} -{"mode": "train", "epoch": 67, "iter": 42000, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.32154, "decode.acc_seg": 69.65087, "aux.loss_seg": 0.226, "aux.acc_seg": 63.11351, "loss": 0.54754, "time": 0.40151} -{"mode": "train", "epoch": 67, "iter": 42050, "lr": 4e-05, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.31473, "decode.acc_seg": 70.89034, "aux.loss_seg": 0.22634, "aux.acc_seg": 64.15455, "loss": 0.54106, "time": 0.40124} -{"mode": "train", "epoch": 67, "iter": 42100, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.30509, "decode.acc_seg": 70.55897, "aux.loss_seg": 0.21974, "aux.acc_seg": 64.23344, "loss": 0.52483, "time": 0.40114} -{"mode": "train", "epoch": 67, "iter": 42150, "lr": 4e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.31383, "decode.acc_seg": 69.94434, "aux.loss_seg": 0.22131, "aux.acc_seg": 63.73007, "loss": 0.53513, "time": 0.40149} -{"mode": "train", "epoch": 67, "iter": 42200, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.32365, "decode.acc_seg": 70.76331, "aux.loss_seg": 0.22544, "aux.acc_seg": 64.65557, "loss": 0.54909, "time": 0.40166} -{"mode": "train", "epoch": 67, "iter": 42250, "lr": 4e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.32648, "decode.acc_seg": 70.58888, "aux.loss_seg": 0.23157, "aux.acc_seg": 64.16579, "loss": 0.55805, "time": 0.4011} -{"mode": "train", "epoch": 68, "iter": 42300, "lr": 4e-05, "memory": 22018, "data_time": 0.17722, "decode.loss_seg": 0.32289, "decode.acc_seg": 70.86057, "aux.loss_seg": 0.23167, "aux.acc_seg": 64.13725, "loss": 0.55456, "time": 0.56955} -{"mode": "train", "epoch": 68, "iter": 42350, "lr": 4e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.30854, "decode.acc_seg": 71.44738, "aux.loss_seg": 0.222, "aux.acc_seg": 64.91516, "loss": 0.53054, "time": 0.4011} -{"mode": "train", "epoch": 68, "iter": 42400, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.3197, "decode.acc_seg": 70.64095, "aux.loss_seg": 0.228, "aux.acc_seg": 64.12282, "loss": 0.54769, "time": 0.40086} -{"mode": "train", "epoch": 68, "iter": 42450, "lr": 4e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.30467, "decode.acc_seg": 71.47711, "aux.loss_seg": 0.21335, "aux.acc_seg": 65.47598, "loss": 0.51801, "time": 0.40093} -{"mode": "train", "epoch": 68, "iter": 42500, "lr": 4e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.30999, "decode.acc_seg": 70.81556, "aux.loss_seg": 0.22067, "aux.acc_seg": 64.48777, "loss": 0.53066, "time": 0.40124} -{"mode": "train", "epoch": 68, "iter": 42550, "lr": 4e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.31347, "decode.acc_seg": 70.05304, "aux.loss_seg": 0.2194, "aux.acc_seg": 63.92916, "loss": 0.53286, "time": 0.40149} -{"mode": "train", "epoch": 68, "iter": 42600, "lr": 4e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.31951, "decode.acc_seg": 71.55384, "aux.loss_seg": 0.22585, "aux.acc_seg": 64.96229, "loss": 0.54536, "time": 0.40312} -{"mode": "train", "epoch": 68, "iter": 42650, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.32771, "decode.acc_seg": 71.22049, "aux.loss_seg": 0.23229, "aux.acc_seg": 64.5529, "loss": 0.56, "time": 0.40253} -{"mode": "train", "epoch": 68, "iter": 42700, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.32043, "decode.acc_seg": 69.49268, "aux.loss_seg": 0.22715, "aux.acc_seg": 62.96349, "loss": 0.54758, "time": 0.40158} -{"mode": "train", "epoch": 68, "iter": 42750, "lr": 4e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.32951, "decode.acc_seg": 69.87236, "aux.loss_seg": 0.23182, "aux.acc_seg": 63.4045, "loss": 0.56134, "time": 0.40207} -{"mode": "train", "epoch": 68, "iter": 42800, "lr": 4e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.31431, "decode.acc_seg": 70.63263, "aux.loss_seg": 0.22071, "aux.acc_seg": 64.46983, "loss": 0.53502, "time": 0.40195} -{"mode": "train", "epoch": 68, "iter": 42850, "lr": 4e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.31384, "decode.acc_seg": 70.53145, "aux.loss_seg": 0.22339, "aux.acc_seg": 64.47505, "loss": 0.53723, "time": 0.402} -{"mode": "train", "epoch": 68, "iter": 42900, "lr": 4e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.32643, "decode.acc_seg": 70.30058, "aux.loss_seg": 0.23014, "aux.acc_seg": 63.58699, "loss": 0.55657, "time": 0.40267} -{"mode": "train", "epoch": 69, "iter": 42950, "lr": 4e-05, "memory": 22018, "data_time": 0.17141, "decode.loss_seg": 0.30937, "decode.acc_seg": 71.61367, "aux.loss_seg": 0.22199, "aux.acc_seg": 65.31852, "loss": 0.53136, "time": 0.5644} -{"mode": "train", "epoch": 69, "iter": 43000, "lr": 4e-05, "memory": 22018, "data_time": 0.01067, "decode.loss_seg": 0.31751, "decode.acc_seg": 70.24003, "aux.loss_seg": 0.22834, "aux.acc_seg": 63.8181, "loss": 0.54584, "time": 0.40293} -{"mode": "train", "epoch": 69, "iter": 43050, "lr": 4e-05, "memory": 22018, "data_time": 0.01055, "decode.loss_seg": 0.29952, "decode.acc_seg": 70.79624, "aux.loss_seg": 0.21502, "aux.acc_seg": 64.49997, "loss": 0.51454, "time": 0.4028} -{"mode": "train", "epoch": 69, "iter": 43100, "lr": 4e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.32202, "decode.acc_seg": 70.58891, "aux.loss_seg": 0.23025, "aux.acc_seg": 63.94446, "loss": 0.55227, "time": 0.40261} -{"mode": "train", "epoch": 69, "iter": 43150, "lr": 4e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.31198, "decode.acc_seg": 70.83475, "aux.loss_seg": 0.22476, "aux.acc_seg": 64.14933, "loss": 0.53674, "time": 0.40283} -{"mode": "train", "epoch": 69, "iter": 43200, "lr": 4e-05, "memory": 22018, "data_time": 0.01046, "decode.loss_seg": 0.32985, "decode.acc_seg": 71.17195, "aux.loss_seg": 0.22201, "aux.acc_seg": 65.37267, "loss": 0.55186, "time": 0.40255} -{"mode": "train", "epoch": 69, "iter": 43250, "lr": 4e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.32474, "decode.acc_seg": 70.79273, "aux.loss_seg": 0.22479, "aux.acc_seg": 64.86852, "loss": 0.54953, "time": 0.40321} -{"mode": "train", "epoch": 69, "iter": 43300, "lr": 4e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.3165, "decode.acc_seg": 71.37947, "aux.loss_seg": 0.23095, "aux.acc_seg": 64.6544, "loss": 0.54745, "time": 0.40265} -{"mode": "train", "epoch": 69, "iter": 43350, "lr": 4e-05, "memory": 22018, "data_time": 0.01014, "decode.loss_seg": 0.31449, "decode.acc_seg": 70.18862, "aux.loss_seg": 0.22153, "aux.acc_seg": 64.272, "loss": 0.53602, "time": 0.40366} -{"mode": "train", "epoch": 69, "iter": 43400, "lr": 4e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.31992, "decode.acc_seg": 70.86145, "aux.loss_seg": 0.22337, "aux.acc_seg": 64.63326, "loss": 0.5433, "time": 0.4039} -{"mode": "train", "epoch": 69, "iter": 43450, "lr": 4e-05, "memory": 22018, "data_time": 0.01136, "decode.loss_seg": 0.31822, "decode.acc_seg": 71.70579, "aux.loss_seg": 0.23248, "aux.acc_seg": 64.75769, "loss": 0.5507, "time": 0.40491} -{"mode": "train", "epoch": 69, "iter": 43500, "lr": 4e-05, "memory": 22018, "data_time": 0.01142, "decode.loss_seg": 0.31056, "decode.acc_seg": 70.7808, "aux.loss_seg": 0.2214, "aux.acc_seg": 64.73456, "loss": 0.53196, "time": 0.40448} -{"mode": "train", "epoch": 70, "iter": 43550, "lr": 4e-05, "memory": 22018, "data_time": 0.16572, "decode.loss_seg": 0.30687, "decode.acc_seg": 70.56878, "aux.loss_seg": 0.22139, "aux.acc_seg": 63.84177, "loss": 0.52826, "time": 0.55915} -{"mode": "train", "epoch": 70, "iter": 43600, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.31534, "decode.acc_seg": 70.15658, "aux.loss_seg": 0.2232, "aux.acc_seg": 63.82387, "loss": 0.53853, "time": 0.40247} -{"mode": "train", "epoch": 70, "iter": 43650, "lr": 4e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.31316, "decode.acc_seg": 71.22199, "aux.loss_seg": 0.21835, "aux.acc_seg": 65.20377, "loss": 0.53152, "time": 0.40215} -{"mode": "train", "epoch": 70, "iter": 43700, "lr": 4e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.30942, "decode.acc_seg": 71.2355, "aux.loss_seg": 0.22294, "aux.acc_seg": 64.75114, "loss": 0.53236, "time": 0.40295} -{"mode": "train", "epoch": 70, "iter": 43750, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.31858, "decode.acc_seg": 71.11231, "aux.loss_seg": 0.23133, "aux.acc_seg": 64.4839, "loss": 0.54992, "time": 0.40292} -{"mode": "train", "epoch": 70, "iter": 43800, "lr": 4e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.30403, "decode.acc_seg": 71.10575, "aux.loss_seg": 0.21998, "aux.acc_seg": 64.61872, "loss": 0.52402, "time": 0.40327} -{"mode": "train", "epoch": 70, "iter": 43850, "lr": 4e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.30735, "decode.acc_seg": 69.82441, "aux.loss_seg": 0.2154, "aux.acc_seg": 63.58213, "loss": 0.52276, "time": 0.40296} -{"mode": "train", "epoch": 70, "iter": 43900, "lr": 4e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.32919, "decode.acc_seg": 70.59535, "aux.loss_seg": 0.23677, "aux.acc_seg": 63.83907, "loss": 0.56596, "time": 0.40281} -{"mode": "train", "epoch": 70, "iter": 43950, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.31648, "decode.acc_seg": 70.90721, "aux.loss_seg": 0.22509, "aux.acc_seg": 64.42032, "loss": 0.54158, "time": 0.40234} -{"mode": "train", "epoch": 70, "iter": 44000, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.30907, "decode.acc_seg": 71.24333, "aux.loss_seg": 0.2219, "aux.acc_seg": 64.78296, "loss": 0.53097, "time": 0.4025} -{"mode": "train", "epoch": 70, "iter": 44050, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.30487, "decode.acc_seg": 70.46016, "aux.loss_seg": 0.21693, "aux.acc_seg": 64.1638, "loss": 0.5218, "time": 0.40229} -{"mode": "train", "epoch": 70, "iter": 44100, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.31848, "decode.acc_seg": 70.82351, "aux.loss_seg": 0.22398, "aux.acc_seg": 64.5151, "loss": 0.54246, "time": 0.40204} -{"mode": "train", "epoch": 70, "iter": 44150, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.31358, "decode.acc_seg": 70.27833, "aux.loss_seg": 0.22272, "aux.acc_seg": 63.8946, "loss": 0.53629, "time": 0.40172} -{"mode": "train", "epoch": 71, "iter": 44200, "lr": 4e-05, "memory": 22018, "data_time": 0.16886, "decode.loss_seg": 0.31353, "decode.acc_seg": 71.17671, "aux.loss_seg": 0.22208, "aux.acc_seg": 64.78706, "loss": 0.53561, "time": 0.56203} -{"mode": "train", "epoch": 71, "iter": 44250, "lr": 4e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.2999, "decode.acc_seg": 70.81153, "aux.loss_seg": 0.21627, "aux.acc_seg": 64.41751, "loss": 0.51616, "time": 0.40245} -{"mode": "train", "epoch": 71, "iter": 44300, "lr": 4e-05, "memory": 22018, "data_time": 0.01068, "decode.loss_seg": 0.30845, "decode.acc_seg": 71.07845, "aux.loss_seg": 0.2248, "aux.acc_seg": 64.47151, "loss": 0.53326, "time": 0.4026} -{"mode": "train", "epoch": 71, "iter": 44350, "lr": 4e-05, "memory": 22018, "data_time": 0.01065, "decode.loss_seg": 0.31543, "decode.acc_seg": 71.48059, "aux.loss_seg": 0.22739, "aux.acc_seg": 64.91312, "loss": 0.54282, "time": 0.4023} -{"mode": "train", "epoch": 71, "iter": 44400, "lr": 4e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.30336, "decode.acc_seg": 71.33403, "aux.loss_seg": 0.21871, "aux.acc_seg": 64.71607, "loss": 0.52207, "time": 0.40251} -{"mode": "train", "epoch": 71, "iter": 44450, "lr": 4e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.32141, "decode.acc_seg": 70.13055, "aux.loss_seg": 0.22671, "aux.acc_seg": 63.75952, "loss": 0.54813, "time": 0.40271} -{"mode": "train", "epoch": 71, "iter": 44500, "lr": 4e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.31459, "decode.acc_seg": 70.93337, "aux.loss_seg": 0.22176, "aux.acc_seg": 64.61731, "loss": 0.53635, "time": 0.40204} -{"mode": "train", "epoch": 71, "iter": 44550, "lr": 4e-05, "memory": 22018, "data_time": 0.01044, "decode.loss_seg": 0.32313, "decode.acc_seg": 71.24132, "aux.loss_seg": 0.22999, "aux.acc_seg": 64.56171, "loss": 0.55312, "time": 0.40242} -{"mode": "train", "epoch": 71, "iter": 44600, "lr": 4e-05, "memory": 22018, "data_time": 0.01006, "decode.loss_seg": 0.31911, "decode.acc_seg": 70.7165, "aux.loss_seg": 0.21938, "aux.acc_seg": 65.02436, "loss": 0.53849, "time": 0.4021} -{"mode": "train", "epoch": 71, "iter": 44650, "lr": 4e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.31288, "decode.acc_seg": 71.06785, "aux.loss_seg": 0.22227, "aux.acc_seg": 64.83753, "loss": 0.53515, "time": 0.40251} -{"mode": "train", "epoch": 71, "iter": 44700, "lr": 4e-05, "memory": 22018, "data_time": 0.0102, "decode.loss_seg": 0.30812, "decode.acc_seg": 70.34793, "aux.loss_seg": 0.21537, "aux.acc_seg": 64.21729, "loss": 0.52349, "time": 0.40318} -{"mode": "train", "epoch": 71, "iter": 44750, "lr": 4e-05, "memory": 22018, "data_time": 0.01076, "decode.loss_seg": 0.30802, "decode.acc_seg": 70.96, "aux.loss_seg": 0.22155, "aux.acc_seg": 64.34437, "loss": 0.52957, "time": 0.40279} -{"mode": "train", "epoch": 71, "iter": 44800, "lr": 4e-05, "memory": 22018, "data_time": 0.01065, "decode.loss_seg": 0.32516, "decode.acc_seg": 70.24954, "aux.loss_seg": 0.2259, "aux.acc_seg": 64.08128, "loss": 0.55106, "time": 0.40265} -{"mode": "train", "epoch": 72, "iter": 44850, "lr": 4e-05, "memory": 22018, "data_time": 0.17677, "decode.loss_seg": 0.30672, "decode.acc_seg": 71.77818, "aux.loss_seg": 0.21712, "aux.acc_seg": 65.60247, "loss": 0.52384, "time": 0.57094} -{"mode": "train", "epoch": 72, "iter": 44900, "lr": 4e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.29944, "decode.acc_seg": 71.27787, "aux.loss_seg": 0.21221, "aux.acc_seg": 65.28482, "loss": 0.51165, "time": 0.40057} -{"mode": "train", "epoch": 72, "iter": 44950, "lr": 4e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.30532, "decode.acc_seg": 71.61787, "aux.loss_seg": 0.22168, "aux.acc_seg": 64.94571, "loss": 0.527, "time": 0.40062} -{"mode": "train", "epoch": 72, "iter": 45000, "lr": 4e-05, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.31457, "decode.acc_seg": 70.19343, "aux.loss_seg": 0.22312, "aux.acc_seg": 63.76347, "loss": 0.53768, "time": 0.40075} -{"mode": "train", "epoch": 72, "iter": 45050, "lr": 4e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.30726, "decode.acc_seg": 70.81832, "aux.loss_seg": 0.21916, "aux.acc_seg": 64.41928, "loss": 0.52642, "time": 0.40087} -{"mode": "train", "epoch": 72, "iter": 45100, "lr": 4e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.30731, "decode.acc_seg": 70.58066, "aux.loss_seg": 0.22445, "aux.acc_seg": 63.7776, "loss": 0.53176, "time": 0.40098} -{"mode": "train", "epoch": 72, "iter": 45150, "lr": 4e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.32323, "decode.acc_seg": 70.86213, "aux.loss_seg": 0.22577, "aux.acc_seg": 64.59432, "loss": 0.549, "time": 0.40042} -{"mode": "train", "epoch": 72, "iter": 45200, "lr": 4e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.32281, "decode.acc_seg": 70.61364, "aux.loss_seg": 0.22698, "aux.acc_seg": 64.23448, "loss": 0.54979, "time": 0.40062} -{"mode": "train", "epoch": 72, "iter": 45250, "lr": 4e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.31275, "decode.acc_seg": 70.5277, "aux.loss_seg": 0.22202, "aux.acc_seg": 64.15824, "loss": 0.53477, "time": 0.40093} -{"mode": "train", "epoch": 72, "iter": 45300, "lr": 4e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.3114, "decode.acc_seg": 70.34214, "aux.loss_seg": 0.22411, "aux.acc_seg": 63.88067, "loss": 0.53551, "time": 0.40123} -{"mode": "train", "epoch": 72, "iter": 45350, "lr": 4e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.31036, "decode.acc_seg": 70.75087, "aux.loss_seg": 0.22302, "aux.acc_seg": 64.46893, "loss": 0.53338, "time": 0.40133} -{"mode": "train", "epoch": 72, "iter": 45400, "lr": 4e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.30857, "decode.acc_seg": 70.43059, "aux.loss_seg": 0.21492, "aux.acc_seg": 64.47413, "loss": 0.52349, "time": 0.40091} -{"mode": "train", "epoch": 73, "iter": 45450, "lr": 4e-05, "memory": 22018, "data_time": 0.16839, "decode.loss_seg": 0.31536, "decode.acc_seg": 70.50274, "aux.loss_seg": 0.22145, "aux.acc_seg": 64.03565, "loss": 0.5368, "time": 0.5628} -{"mode": "train", "epoch": 73, "iter": 45500, "lr": 4e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.30932, "decode.acc_seg": 70.28226, "aux.loss_seg": 0.22001, "aux.acc_seg": 64.02185, "loss": 0.52934, "time": 0.40258} -{"mode": "train", "epoch": 73, "iter": 45550, "lr": 4e-05, "memory": 22018, "data_time": 0.01058, "decode.loss_seg": 0.3048, "decode.acc_seg": 70.69158, "aux.loss_seg": 0.21584, "aux.acc_seg": 64.52696, "loss": 0.52064, "time": 0.40267} -{"mode": "train", "epoch": 73, "iter": 45600, "lr": 4e-05, "memory": 22018, "data_time": 0.01054, "decode.loss_seg": 0.30931, "decode.acc_seg": 70.73498, "aux.loss_seg": 0.21668, "aux.acc_seg": 64.77948, "loss": 0.52599, "time": 0.40284} -{"mode": "train", "epoch": 73, "iter": 45650, "lr": 4e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.29497, "decode.acc_seg": 70.85019, "aux.loss_seg": 0.21415, "aux.acc_seg": 64.47062, "loss": 0.50912, "time": 0.40228} -{"mode": "train", "epoch": 73, "iter": 45700, "lr": 4e-05, "memory": 22018, "data_time": 0.01082, "decode.loss_seg": 0.30511, "decode.acc_seg": 71.02982, "aux.loss_seg": 0.21248, "aux.acc_seg": 65.4147, "loss": 0.51758, "time": 0.4024} -{"mode": "train", "epoch": 73, "iter": 45750, "lr": 4e-05, "memory": 22018, "data_time": 0.01075, "decode.loss_seg": 0.30317, "decode.acc_seg": 71.14598, "aux.loss_seg": 0.21991, "aux.acc_seg": 64.49481, "loss": 0.52308, "time": 0.40286} -{"mode": "train", "epoch": 73, "iter": 45800, "lr": 4e-05, "memory": 22018, "data_time": 0.01098, "decode.loss_seg": 0.31372, "decode.acc_seg": 70.25502, "aux.loss_seg": 0.22243, "aux.acc_seg": 64.02436, "loss": 0.53615, "time": 0.40232} -{"mode": "train", "epoch": 73, "iter": 45850, "lr": 4e-05, "memory": 22018, "data_time": 0.01056, "decode.loss_seg": 0.30094, "decode.acc_seg": 71.07769, "aux.loss_seg": 0.21976, "aux.acc_seg": 64.81192, "loss": 0.52071, "time": 0.40243} -{"mode": "train", "epoch": 73, "iter": 45900, "lr": 4e-05, "memory": 22018, "data_time": 0.01078, "decode.loss_seg": 0.29982, "decode.acc_seg": 71.21126, "aux.loss_seg": 0.2173, "aux.acc_seg": 64.82852, "loss": 0.51712, "time": 0.40247} -{"mode": "train", "epoch": 73, "iter": 45950, "lr": 4e-05, "memory": 22018, "data_time": 0.01097, "decode.loss_seg": 0.29671, "decode.acc_seg": 70.41459, "aux.loss_seg": 0.21236, "aux.acc_seg": 64.3864, "loss": 0.50907, "time": 0.40232} -{"mode": "train", "epoch": 73, "iter": 46000, "lr": 4e-05, "memory": 22018, "data_time": 0.01117, "decode.loss_seg": 0.30726, "decode.acc_seg": 71.24563, "aux.loss_seg": 0.21569, "aux.acc_seg": 65.29872, "loss": 0.52296, "time": 0.40273} -{"mode": "train", "epoch": 73, "iter": 46050, "lr": 4e-05, "memory": 22018, "data_time": 0.01128, "decode.loss_seg": 0.29558, "decode.acc_seg": 70.21034, "aux.loss_seg": 0.21827, "aux.acc_seg": 63.69859, "loss": 0.51385, "time": 0.4024} -{"mode": "train", "epoch": 74, "iter": 46100, "lr": 4e-05, "memory": 22018, "data_time": 0.18137, "decode.loss_seg": 0.30274, "decode.acc_seg": 70.9633, "aux.loss_seg": 0.22338, "aux.acc_seg": 64.26983, "loss": 0.52612, "time": 0.5738} -{"mode": "train", "epoch": 74, "iter": 46150, "lr": 4e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.2971, "decode.acc_seg": 70.61687, "aux.loss_seg": 0.22164, "aux.acc_seg": 64.03311, "loss": 0.51873, "time": 0.4022} -{"mode": "train", "epoch": 74, "iter": 46200, "lr": 4e-05, "memory": 22018, "data_time": 0.0101, "decode.loss_seg": 0.30422, "decode.acc_seg": 71.0638, "aux.loss_seg": 0.21549, "aux.acc_seg": 65.06753, "loss": 0.51971, "time": 0.40217} -{"mode": "train", "epoch": 74, "iter": 46250, "lr": 4e-05, "memory": 22018, "data_time": 0.01021, "decode.loss_seg": 0.30249, "decode.acc_seg": 71.33522, "aux.loss_seg": 0.22002, "aux.acc_seg": 64.8602, "loss": 0.5225, "time": 0.40285} -{"mode": "train", "epoch": 74, "iter": 46300, "lr": 4e-05, "memory": 22018, "data_time": 0.01063, "decode.loss_seg": 0.31862, "decode.acc_seg": 71.26124, "aux.loss_seg": 0.22537, "aux.acc_seg": 65.08642, "loss": 0.544, "time": 0.40261} -{"mode": "train", "epoch": 74, "iter": 46350, "lr": 4e-05, "memory": 22018, "data_time": 0.01071, "decode.loss_seg": 0.30458, "decode.acc_seg": 71.31685, "aux.loss_seg": 0.22162, "aux.acc_seg": 64.73602, "loss": 0.5262, "time": 0.40264} -{"mode": "train", "epoch": 74, "iter": 46400, "lr": 4e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.31084, "decode.acc_seg": 70.99773, "aux.loss_seg": 0.22115, "aux.acc_seg": 64.64403, "loss": 0.53199, "time": 0.40311} -{"mode": "train", "epoch": 74, "iter": 46450, "lr": 4e-05, "memory": 22018, "data_time": 0.01059, "decode.loss_seg": 0.30475, "decode.acc_seg": 70.40573, "aux.loss_seg": 0.2189, "aux.acc_seg": 64.10694, "loss": 0.52365, "time": 0.40241} -{"mode": "train", "epoch": 74, "iter": 46500, "lr": 4e-05, "memory": 22018, "data_time": 0.01058, "decode.loss_seg": 0.28983, "decode.acc_seg": 69.82842, "aux.loss_seg": 0.20999, "aux.acc_seg": 63.65072, "loss": 0.49982, "time": 0.40293} -{"mode": "train", "epoch": 74, "iter": 46550, "lr": 4e-05, "memory": 22018, "data_time": 0.0108, "decode.loss_seg": 0.30601, "decode.acc_seg": 70.24751, "aux.loss_seg": 0.22186, "aux.acc_seg": 63.53559, "loss": 0.52787, "time": 0.40346} -{"mode": "train", "epoch": 74, "iter": 46600, "lr": 4e-05, "memory": 22018, "data_time": 0.01092, "decode.loss_seg": 0.30618, "decode.acc_seg": 71.49163, "aux.loss_seg": 0.21901, "aux.acc_seg": 65.20554, "loss": 0.52519, "time": 0.40313} -{"mode": "train", "epoch": 74, "iter": 46650, "lr": 4e-05, "memory": 22018, "data_time": 0.01047, "decode.loss_seg": 0.29965, "decode.acc_seg": 70.94397, "aux.loss_seg": 0.21783, "aux.acc_seg": 64.67648, "loss": 0.51747, "time": 0.40235} -{"mode": "train", "epoch": 75, "iter": 46700, "lr": 4e-05, "memory": 22018, "data_time": 0.17728, "decode.loss_seg": 0.30661, "decode.acc_seg": 70.47809, "aux.loss_seg": 0.22004, "aux.acc_seg": 64.24258, "loss": 0.52666, "time": 0.57007} -{"mode": "train", "epoch": 75, "iter": 46750, "lr": 4e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.30379, "decode.acc_seg": 71.05418, "aux.loss_seg": 0.2176, "aux.acc_seg": 64.91957, "loss": 0.52139, "time": 0.4024} -{"mode": "train", "epoch": 75, "iter": 46800, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.29766, "decode.acc_seg": 72.26308, "aux.loss_seg": 0.21351, "aux.acc_seg": 66.12016, "loss": 0.51118, "time": 0.4022} -{"mode": "train", "epoch": 75, "iter": 46850, "lr": 4e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.29329, "decode.acc_seg": 71.81688, "aux.loss_seg": 0.21131, "aux.acc_seg": 65.75522, "loss": 0.5046, "time": 0.40145} -{"mode": "train", "epoch": 75, "iter": 46900, "lr": 4e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.30257, "decode.acc_seg": 70.16243, "aux.loss_seg": 0.21737, "aux.acc_seg": 63.74149, "loss": 0.51994, "time": 0.40108} -{"mode": "train", "epoch": 75, "iter": 46950, "lr": 4e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.30639, "decode.acc_seg": 72.08023, "aux.loss_seg": 0.22154, "aux.acc_seg": 65.47935, "loss": 0.52793, "time": 0.40179} -{"mode": "train", "epoch": 75, "iter": 47000, "lr": 4e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.30304, "decode.acc_seg": 70.23827, "aux.loss_seg": 0.21872, "aux.acc_seg": 63.82821, "loss": 0.52176, "time": 0.4026} -{"mode": "train", "epoch": 75, "iter": 47050, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.29976, "decode.acc_seg": 71.38092, "aux.loss_seg": 0.21778, "aux.acc_seg": 65.11296, "loss": 0.51754, "time": 0.40194} -{"mode": "train", "epoch": 75, "iter": 47100, "lr": 4e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.30449, "decode.acc_seg": 70.80262, "aux.loss_seg": 0.2179, "aux.acc_seg": 64.57848, "loss": 0.52238, "time": 0.40074} -{"mode": "train", "epoch": 75, "iter": 47150, "lr": 4e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.31171, "decode.acc_seg": 70.97854, "aux.loss_seg": 0.2211, "aux.acc_seg": 64.74584, "loss": 0.53281, "time": 0.40191} -{"mode": "train", "epoch": 75, "iter": 47200, "lr": 4e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.30974, "decode.acc_seg": 70.98363, "aux.loss_seg": 0.21927, "aux.acc_seg": 64.79302, "loss": 0.52901, "time": 0.40115} -{"mode": "train", "epoch": 75, "iter": 47250, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.29623, "decode.acc_seg": 71.83677, "aux.loss_seg": 0.21495, "aux.acc_seg": 65.3889, "loss": 0.51119, "time": 0.40157} -{"mode": "train", "epoch": 75, "iter": 47300, "lr": 4e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.30682, "decode.acc_seg": 70.12812, "aux.loss_seg": 0.21733, "aux.acc_seg": 63.96793, "loss": 0.52415, "time": 0.40135} -{"mode": "train", "epoch": 76, "iter": 47350, "lr": 4e-05, "memory": 22018, "data_time": 0.17684, "decode.loss_seg": 0.29865, "decode.acc_seg": 71.20835, "aux.loss_seg": 0.21709, "aux.acc_seg": 64.75091, "loss": 0.51574, "time": 0.56893} -{"mode": "train", "epoch": 76, "iter": 47400, "lr": 4e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.3014, "decode.acc_seg": 71.06759, "aux.loss_seg": 0.2173, "aux.acc_seg": 64.59341, "loss": 0.5187, "time": 0.40091} -{"mode": "train", "epoch": 76, "iter": 47450, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.30446, "decode.acc_seg": 71.96058, "aux.loss_seg": 0.222, "aux.acc_seg": 65.42892, "loss": 0.52646, "time": 0.40183} -{"mode": "train", "epoch": 76, "iter": 47500, "lr": 4e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.3025, "decode.acc_seg": 70.41312, "aux.loss_seg": 0.21708, "aux.acc_seg": 64.20747, "loss": 0.51959, "time": 0.40142} -{"mode": "train", "epoch": 76, "iter": 47550, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.31259, "decode.acc_seg": 71.51252, "aux.loss_seg": 0.22428, "aux.acc_seg": 64.98755, "loss": 0.53687, "time": 0.40125} -{"mode": "train", "epoch": 76, "iter": 47600, "lr": 4e-05, "memory": 22018, "data_time": 0.00947, "decode.loss_seg": 0.29228, "decode.acc_seg": 71.19842, "aux.loss_seg": 0.21119, "aux.acc_seg": 65.02673, "loss": 0.50347, "time": 0.40111} -{"mode": "train", "epoch": 76, "iter": 47650, "lr": 4e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.29242, "decode.acc_seg": 71.28957, "aux.loss_seg": 0.21156, "aux.acc_seg": 65.051, "loss": 0.50398, "time": 0.4011} -{"mode": "train", "epoch": 76, "iter": 47700, "lr": 4e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.3005, "decode.acc_seg": 71.71235, "aux.loss_seg": 0.21458, "aux.acc_seg": 65.57823, "loss": 0.51508, "time": 0.40212} -{"mode": "train", "epoch": 76, "iter": 47750, "lr": 4e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.29399, "decode.acc_seg": 71.76705, "aux.loss_seg": 0.20575, "aux.acc_seg": 65.99805, "loss": 0.49974, "time": 0.40118} -{"mode": "train", "epoch": 76, "iter": 47800, "lr": 4e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.31146, "decode.acc_seg": 70.4136, "aux.loss_seg": 0.22091, "aux.acc_seg": 64.02938, "loss": 0.53237, "time": 0.40148} -{"mode": "train", "epoch": 76, "iter": 47850, "lr": 4e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.31479, "decode.acc_seg": 71.7079, "aux.loss_seg": 0.22588, "aux.acc_seg": 65.25663, "loss": 0.54068, "time": 0.40173} -{"mode": "train", "epoch": 76, "iter": 47900, "lr": 4e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.30386, "decode.acc_seg": 70.61163, "aux.loss_seg": 0.22197, "aux.acc_seg": 63.97369, "loss": 0.52583, "time": 0.40123} -{"mode": "train", "epoch": 76, "iter": 47950, "lr": 4e-05, "memory": 22018, "data_time": 0.00996, "decode.loss_seg": 0.31282, "decode.acc_seg": 69.87991, "aux.loss_seg": 0.22265, "aux.acc_seg": 63.73693, "loss": 0.53547, "time": 0.40197} -{"mode": "val", "epoch": 77, "iter": 48000, "lr": 4e-05, "mIoU": 0.4402, "mAcc": 0.5635, "aAcc": 0.8102, "IoU.wall": 0.7436, "IoU.building": 0.8102, "IoU.sky": 0.937, "IoU.floor": 0.8022, "IoU.tree": 0.7288, "IoU.ceiling": 0.8227, "IoU.road": 0.8044, "IoU.bed ": 0.8484, "IoU.windowpane": 0.5702, "IoU.grass": 0.6687, "IoU.cabinet": 0.5779, "IoU.sidewalk": 0.6043, "IoU.person": 0.7592, "IoU.earth": 0.3517, "IoU.door": 0.4094, "IoU.table": 0.5357, "IoU.mountain": 0.5957, "IoU.plant": 0.5074, "IoU.curtain": 0.6874, "IoU.chair": 0.5134, "IoU.car": 0.8103, "IoU.water": 0.4943, "IoU.painting": 0.6926, "IoU.sofa": 0.5686, "IoU.shelf": 0.3868, "IoU.house": 0.4783, "IoU.sea": 0.4768, "IoU.mirror": 0.5657, "IoU.rug": 0.6333, "IoU.field": 0.3223, "IoU.armchair": 0.3446, "IoU.seat": 0.5996, "IoU.fence": 0.3599, "IoU.desk": 0.4307, "IoU.rock": 0.4784, "IoU.wardrobe": 0.5396, "IoU.lamp": 0.544, "IoU.bathtub": 0.7225, "IoU.railing": 0.3215, "IoU.cushion": 0.4887, "IoU.base": 0.3226, "IoU.box": 0.2236, "IoU.column": 0.3902, "IoU.signboard": 0.3181, "IoU.chest of drawers": 0.3471, "IoU.counter": 0.269, "IoU.sand": 0.3086, "IoU.sink": 0.6522, "IoU.skyscraper": 0.6575, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6629, "IoU.grandstand": 0.3484, "IoU.path": 0.2167, "IoU.stairs": 0.2032, "IoU.runway": 0.6964, "IoU.case": 0.3855, "IoU.pool table": 0.9127, "IoU.pillow": 0.5139, "IoU.screen door": 0.6498, "IoU.stairway": 0.3099, "IoU.river": 0.088, "IoU.bridge": 0.5512, "IoU.bookcase": 0.3727, "IoU.blind": NaN, "IoU.coffee table": 0.5442, "IoU.toilet": 0.7985, "IoU.flower": 0.3801, "IoU.book": 0.4368, "IoU.hill": 0.1364, "IoU.bench": 0.399, "IoU.countertop": 0.5357, "IoU.stove": 0.6323, "IoU.palm": 0.4371, "IoU.kitchen island": 0.3215, "IoU.computer": 0.5545, "IoU.swivel chair": 0.4127, "IoU.boat": 0.4831, "IoU.bar": 0.292, "IoU.arcade machine": 0.6052, "IoU.hovel": 0.3285, "IoU.bus": 0.8019, "IoU.towel": 0.5449, "IoU.light": 0.5243, "IoU.truck": 0.287, "IoU.tower": 0.0569, "IoU.chandelier": 0.6157, "IoU.awning": 0.2776, "IoU.streetlight": 0.1779, "IoU.booth": 0.4674, "IoU.television receiver": NaN, "IoU.airplane": 0.5215, "IoU.dirt track": 0.1421, "IoU.apparel": 0.3074, "IoU.pole": 0.1457, "IoU.land": 0.0033, "IoU.bannister": 0.1022, "IoU.escalator": 0.2858, "IoU.ottoman": 0.3456, "IoU.bottle": NaN, "IoU.buffet": 0.4382, "IoU.poster": 0.2027, "IoU.stage": 0.1552, "IoU.van": 0.3616, "IoU.ship": 0.5819, "IoU.fountain": 0.2129, "IoU.conveyer belt": 0.6219, "IoU.canopy": 0.1858, "IoU.washer": 0.7713, "IoU.plaything": 0.1482, "IoU.swimming pool": 0.7057, "IoU.stool": 0.3083, "IoU.barrel": 0.2725, "IoU.basket": 0.1977, "IoU.waterfall": 0.6925, "IoU.tent": 0.9409, "IoU.bag": 0.0898, "IoU.minibike": 0.6192, "IoU.cradle": NaN, "IoU.oven": 0.2522, "IoU.ball": 0.3734, "IoU.food": 0.5594, "IoU.step": 0.0751, "IoU.tank": 0.4536, "IoU.trade name": 0.2714, "IoU.microwave": 0.3846, "IoU.pot": 0.4346, "IoU.animal": NaN, "IoU.bicycle": 0.4967, "IoU.lake": 0.2966, "IoU.dishwasher": 0.4313, "IoU.screen": 0.6344, "IoU.blanket": 0.083, "IoU.sculpture": 0.4221, "IoU.hood": 0.5203, "IoU.sconce": 0.3679, "IoU.vase": 0.2896, "IoU.traffic light": 0.1853, "IoU.tray": 0.0504, "IoU.ashcan": 0.3182, "IoU.fan": 0.505, "IoU.pier": 0.3108, "IoU.crt screen": 0.0404, "IoU.plate": 0.5066, "IoU.monitor": 0.0732, "IoU.bulletin board": 0.4645, "IoU.shower": 0.0024, "IoU.radiator": 0.4988, "IoU.glass": 0.1044, "IoU.clock": 0.3542, "IoU.flag": 0.2867, "Acc.wall": 0.8612, "Acc.building": 0.921, "Acc.sky": 0.9664, "Acc.floor": 0.8918, "Acc.tree": 0.8763, "Acc.ceiling": 0.9215, "Acc.road": 0.8906, "Acc.bed ": 0.9496, "Acc.windowpane": 0.7294, "Acc.grass": 0.8036, "Acc.cabinet": 0.703, "Acc.sidewalk": 0.7689, "Acc.person": 0.8897, "Acc.earth": 0.4665, "Acc.door": 0.5407, "Acc.table": 0.7617, "Acc.mountain": 0.7475, "Acc.plant": 0.6181, "Acc.curtain": 0.8421, "Acc.chair": 0.69, "Acc.car": 0.8948, "Acc.water": 0.6164, "Acc.painting": 0.8181, "Acc.sofa": 0.7601, "Acc.shelf": 0.5483, "Acc.house": 0.6281, "Acc.sea": 0.7011, "Acc.mirror": 0.6633, "Acc.rug": 0.726, "Acc.field": 0.5272, "Acc.armchair": 0.4707, "Acc.seat": 0.8038, "Acc.fence": 0.5508, "Acc.desk": 0.6371, "Acc.rock": 0.7699, "Acc.wardrobe": 0.7429, "Acc.lamp": 0.657, "Acc.bathtub": 0.806, "Acc.railing": 0.4541, "Acc.cushion": 0.6436, "Acc.base": 0.4666, "Acc.box": 0.2738, "Acc.column": 0.5167, "Acc.signboard": 0.4732, "Acc.chest of drawers": 0.5758, "Acc.counter": 0.3013, "Acc.sand": 0.4985, "Acc.sink": 0.7614, "Acc.skyscraper": 0.7822, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7841, "Acc.grandstand": 0.6216, "Acc.path": 0.3946, "Acc.stairs": 0.2366, "Acc.runway": 0.9146, "Acc.case": 0.4799, "Acc.pool table": 0.9561, "Acc.pillow": 0.6118, "Acc.screen door": 0.746, "Acc.stairway": 0.4486, "Acc.river": 0.2345, "Acc.bridge": 0.7533, "Acc.bookcase": 0.4836, "Acc.blind": NaN, "Acc.coffee table": 0.7289, "Acc.toilet": 0.8782, "Acc.flower": 0.5872, "Acc.book": 0.6217, "Acc.hill": 0.1592, "Acc.bench": 0.48, "Acc.countertop": 0.749, "Acc.stove": 0.7758, "Acc.palm": 0.6802, "Acc.kitchen island": 0.753, "Acc.computer": 0.6945, "Acc.swivel chair": 0.5636, "Acc.boat": 0.628, "Acc.bar": 0.405, "Acc.arcade machine": 0.6473, "Acc.hovel": 0.4038, "Acc.bus": 0.8921, "Acc.towel": 0.686, "Acc.light": 0.6119, "Acc.truck": 0.3667, "Acc.tower": 0.0697, "Acc.chandelier": 0.7864, "Acc.awning": 0.3408, "Acc.streetlight": 0.2251, "Acc.booth": 0.5792, "Acc.television receiver": NaN, "Acc.airplane": 0.6199, "Acc.dirt track": 0.4004, "Acc.apparel": 0.4406, "Acc.pole": 0.2068, "Acc.land": 0.0048, "Acc.bannister": 0.1383, "Acc.escalator": 0.4013, "Acc.ottoman": 0.4897, "Acc.bottle": NaN, "Acc.buffet": 0.5403, "Acc.poster": 0.2941, "Acc.stage": 0.2318, "Acc.van": 0.4465, "Acc.ship": 0.894, "Acc.fountain": 0.2214, "Acc.conveyer belt": 0.9019, "Acc.canopy": 0.2298, "Acc.washer": 0.8187, "Acc.plaything": 0.2349, "Acc.swimming pool": 0.7556, "Acc.stool": 0.3548, "Acc.barrel": 0.6997, "Acc.basket": 0.2733, "Acc.waterfall": 0.8007, "Acc.tent": 0.9788, "Acc.bag": 0.1106, "Acc.minibike": 0.7534, "Acc.cradle": NaN, "Acc.oven": 0.439, "Acc.ball": 0.4341, "Acc.food": 0.7255, "Acc.step": 0.0904, "Acc.tank": 0.5412, "Acc.trade name": 0.3186, "Acc.microwave": 0.4291, "Acc.pot": 0.4984, "Acc.animal": NaN, "Acc.bicycle": 0.6795, "Acc.lake": 0.3886, "Acc.dishwasher": 0.5486, "Acc.screen": 0.8795, "Acc.blanket": 0.0916, "Acc.sculpture": 0.534, "Acc.hood": 0.6485, "Acc.sconce": 0.4555, "Acc.vase": 0.4453, "Acc.traffic light": 0.251, "Acc.tray": 0.094, "Acc.ashcan": 0.3795, "Acc.fan": 0.6601, "Acc.pier": 0.5463, "Acc.crt screen": 0.1084, "Acc.plate": 0.6553, "Acc.monitor": 0.1177, "Acc.bulletin board": 0.6239, "Acc.shower": 0.0027, "Acc.radiator": 0.5805, "Acc.glass": 0.1202, "Acc.clock": 0.3987, "Acc.flag": 0.3317} -{"mode": "train", "epoch": 77, "iter": 48050, "lr": 4e-05, "memory": 22018, "data_time": 1.55373, "decode.loss_seg": 0.30661, "decode.acc_seg": 70.84845, "aux.loss_seg": 0.21638, "aux.acc_seg": 64.61882, "loss": 0.52298, "time": 1.94871} -{"mode": "train", "epoch": 77, "iter": 48100, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.30786, "decode.acc_seg": 70.74287, "aux.loss_seg": 0.22165, "aux.acc_seg": 64.39893, "loss": 0.52951, "time": 0.4023} -{"mode": "train", "epoch": 77, "iter": 48150, "lr": 4e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.30893, "decode.acc_seg": 72.19921, "aux.loss_seg": 0.22198, "aux.acc_seg": 65.59692, "loss": 0.53091, "time": 0.40188} -{"mode": "train", "epoch": 77, "iter": 48200, "lr": 4e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.29973, "decode.acc_seg": 70.60428, "aux.loss_seg": 0.22133, "aux.acc_seg": 63.66047, "loss": 0.52106, "time": 0.40108} -{"mode": "train", "epoch": 77, "iter": 48250, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.30517, "decode.acc_seg": 71.46944, "aux.loss_seg": 0.22043, "aux.acc_seg": 65.11819, "loss": 0.5256, "time": 0.4015} -{"mode": "train", "epoch": 77, "iter": 48300, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.29227, "decode.acc_seg": 70.00619, "aux.loss_seg": 0.21128, "aux.acc_seg": 63.80506, "loss": 0.50355, "time": 0.40148} -{"mode": "train", "epoch": 77, "iter": 48350, "lr": 4e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.30214, "decode.acc_seg": 70.78063, "aux.loss_seg": 0.21558, "aux.acc_seg": 64.44503, "loss": 0.51772, "time": 0.40146} -{"mode": "train", "epoch": 77, "iter": 48400, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.29185, "decode.acc_seg": 71.14131, "aux.loss_seg": 0.21081, "aux.acc_seg": 64.70022, "loss": 0.50266, "time": 0.40119} -{"mode": "train", "epoch": 77, "iter": 48450, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.28931, "decode.acc_seg": 70.67611, "aux.loss_seg": 0.21118, "aux.acc_seg": 64.31144, "loss": 0.50048, "time": 0.40081} -{"mode": "train", "epoch": 77, "iter": 48500, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.29899, "decode.acc_seg": 71.09783, "aux.loss_seg": 0.21426, "aux.acc_seg": 64.94784, "loss": 0.51326, "time": 0.4012} -{"mode": "train", "epoch": 77, "iter": 48550, "lr": 4e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.31139, "decode.acc_seg": 72.24595, "aux.loss_seg": 0.22473, "aux.acc_seg": 65.47082, "loss": 0.53611, "time": 0.40211} -{"mode": "train", "epoch": 78, "iter": 48600, "lr": 4e-05, "memory": 22018, "data_time": 0.18056, "decode.loss_seg": 0.29359, "decode.acc_seg": 71.5206, "aux.loss_seg": 0.21115, "aux.acc_seg": 65.61787, "loss": 0.50474, "time": 0.57422} -{"mode": "train", "epoch": 78, "iter": 48650, "lr": 4e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.30158, "decode.acc_seg": 71.02665, "aux.loss_seg": 0.22064, "aux.acc_seg": 64.37078, "loss": 0.52222, "time": 0.40096} -{"mode": "train", "epoch": 78, "iter": 48700, "lr": 4e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.30759, "decode.acc_seg": 71.61594, "aux.loss_seg": 0.22409, "aux.acc_seg": 65.03238, "loss": 0.53168, "time": 0.40115} -{"mode": "train", "epoch": 78, "iter": 48750, "lr": 4e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.30968, "decode.acc_seg": 71.62951, "aux.loss_seg": 0.22161, "aux.acc_seg": 65.16892, "loss": 0.53128, "time": 0.40139} -{"mode": "train", "epoch": 78, "iter": 48800, "lr": 4e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.29717, "decode.acc_seg": 71.80103, "aux.loss_seg": 0.21796, "aux.acc_seg": 65.49006, "loss": 0.51513, "time": 0.4011} -{"mode": "train", "epoch": 78, "iter": 48850, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.29521, "decode.acc_seg": 72.00348, "aux.loss_seg": 0.2124, "aux.acc_seg": 65.78277, "loss": 0.50761, "time": 0.40137} -{"mode": "train", "epoch": 78, "iter": 48900, "lr": 4e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.29089, "decode.acc_seg": 71.54473, "aux.loss_seg": 0.20769, "aux.acc_seg": 65.59853, "loss": 0.49858, "time": 0.40137} -{"mode": "train", "epoch": 78, "iter": 48950, "lr": 4e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.30141, "decode.acc_seg": 71.8176, "aux.loss_seg": 0.21456, "aux.acc_seg": 65.46574, "loss": 0.51597, "time": 0.40184} -{"mode": "train", "epoch": 78, "iter": 49000, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.31409, "decode.acc_seg": 70.50261, "aux.loss_seg": 0.22557, "aux.acc_seg": 64.07891, "loss": 0.53966, "time": 0.4017} -{"mode": "train", "epoch": 78, "iter": 49050, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.3066, "decode.acc_seg": 71.81418, "aux.loss_seg": 0.21725, "aux.acc_seg": 65.62081, "loss": 0.52385, "time": 0.40149} -{"mode": "train", "epoch": 78, "iter": 49100, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.30464, "decode.acc_seg": 71.49745, "aux.loss_seg": 0.21468, "aux.acc_seg": 65.39858, "loss": 0.51932, "time": 0.40156} -{"mode": "train", "epoch": 78, "iter": 49150, "lr": 4e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.28547, "decode.acc_seg": 71.16845, "aux.loss_seg": 0.20997, "aux.acc_seg": 64.9638, "loss": 0.49545, "time": 0.40197} -{"mode": "train", "epoch": 78, "iter": 49200, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.30076, "decode.acc_seg": 70.95554, "aux.loss_seg": 0.21927, "aux.acc_seg": 64.32392, "loss": 0.52003, "time": 0.40236} -{"mode": "train", "epoch": 79, "iter": 49250, "lr": 4e-05, "memory": 22018, "data_time": 0.17666, "decode.loss_seg": 0.29465, "decode.acc_seg": 72.10623, "aux.loss_seg": 0.21311, "aux.acc_seg": 65.76616, "loss": 0.50776, "time": 0.56902} -{"mode": "train", "epoch": 79, "iter": 49300, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.28993, "decode.acc_seg": 71.38165, "aux.loss_seg": 0.20482, "aux.acc_seg": 65.5005, "loss": 0.49475, "time": 0.40013} -{"mode": "train", "epoch": 79, "iter": 49350, "lr": 4e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.29184, "decode.acc_seg": 71.41602, "aux.loss_seg": 0.21726, "aux.acc_seg": 64.8437, "loss": 0.5091, "time": 0.40055} -{"mode": "train", "epoch": 79, "iter": 49400, "lr": 4e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.29774, "decode.acc_seg": 71.33912, "aux.loss_seg": 0.21968, "aux.acc_seg": 64.94165, "loss": 0.51742, "time": 0.4009} -{"mode": "train", "epoch": 79, "iter": 49450, "lr": 4e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.29961, "decode.acc_seg": 71.53827, "aux.loss_seg": 0.2142, "aux.acc_seg": 65.1202, "loss": 0.51381, "time": 0.40102} -{"mode": "train", "epoch": 79, "iter": 49500, "lr": 4e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.29859, "decode.acc_seg": 70.60671, "aux.loss_seg": 0.213, "aux.acc_seg": 64.30131, "loss": 0.5116, "time": 0.40015} -{"mode": "train", "epoch": 79, "iter": 49550, "lr": 4e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.29676, "decode.acc_seg": 70.36394, "aux.loss_seg": 0.21315, "aux.acc_seg": 64.20663, "loss": 0.50991, "time": 0.40079} -{"mode": "train", "epoch": 79, "iter": 49600, "lr": 4e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.29483, "decode.acc_seg": 70.31228, "aux.loss_seg": 0.21433, "aux.acc_seg": 63.82467, "loss": 0.50915, "time": 0.401} -{"mode": "train", "epoch": 79, "iter": 49650, "lr": 4e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.31296, "decode.acc_seg": 71.06662, "aux.loss_seg": 0.21932, "aux.acc_seg": 65.10276, "loss": 0.53229, "time": 0.40143} -{"mode": "train", "epoch": 79, "iter": 49700, "lr": 4e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.29575, "decode.acc_seg": 71.69705, "aux.loss_seg": 0.21587, "aux.acc_seg": 65.2536, "loss": 0.51162, "time": 0.40075} -{"mode": "train", "epoch": 79, "iter": 49750, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.2966, "decode.acc_seg": 71.72952, "aux.loss_seg": 0.21589, "aux.acc_seg": 65.25613, "loss": 0.51249, "time": 0.40095} -{"mode": "train", "epoch": 79, "iter": 49800, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.29247, "decode.acc_seg": 71.33555, "aux.loss_seg": 0.21111, "aux.acc_seg": 65.09191, "loss": 0.50358, "time": 0.40083} -{"mode": "train", "epoch": 79, "iter": 49850, "lr": 4e-05, "memory": 22018, "data_time": 0.17933, "decode.loss_seg": 0.3145, "decode.acc_seg": 71.71791, "aux.loss_seg": 0.2216, "aux.acc_seg": 65.5194, "loss": 0.5361, "time": 0.57279} -{"mode": "train", "epoch": 80, "iter": 49900, "lr": 4e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.30335, "decode.acc_seg": 72.33625, "aux.loss_seg": 0.21938, "aux.acc_seg": 65.97003, "loss": 0.52273, "time": 0.40054} -{"mode": "train", "epoch": 80, "iter": 49950, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.29319, "decode.acc_seg": 70.79476, "aux.loss_seg": 0.20773, "aux.acc_seg": 65.02104, "loss": 0.50092, "time": 0.40044} -{"mode": "train", "epoch": 80, "iter": 50000, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.28617, "decode.acc_seg": 71.42255, "aux.loss_seg": 0.20469, "aux.acc_seg": 65.50541, "loss": 0.49086, "time": 0.40062} -{"mode": "train", "epoch": 80, "iter": 50050, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.29816, "decode.acc_seg": 71.97429, "aux.loss_seg": 0.21578, "aux.acc_seg": 65.62384, "loss": 0.51394, "time": 0.4005} -{"mode": "train", "epoch": 80, "iter": 50100, "lr": 4e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.29972, "decode.acc_seg": 71.74211, "aux.loss_seg": 0.21514, "aux.acc_seg": 65.45058, "loss": 0.51486, "time": 0.40077} -{"mode": "train", "epoch": 80, "iter": 50150, "lr": 4e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.29556, "decode.acc_seg": 71.52651, "aux.loss_seg": 0.21462, "aux.acc_seg": 65.12325, "loss": 0.51017, "time": 0.40082} -{"mode": "train", "epoch": 80, "iter": 50200, "lr": 4e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.2953, "decode.acc_seg": 70.90713, "aux.loss_seg": 0.20931, "aux.acc_seg": 64.9471, "loss": 0.50461, "time": 0.40076} -{"mode": "train", "epoch": 80, "iter": 50250, "lr": 4e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.29305, "decode.acc_seg": 71.17261, "aux.loss_seg": 0.21092, "aux.acc_seg": 65.01023, "loss": 0.50396, "time": 0.40083} -{"mode": "train", "epoch": 80, "iter": 50300, "lr": 4e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.29505, "decode.acc_seg": 71.78236, "aux.loss_seg": 0.21486, "aux.acc_seg": 65.70195, "loss": 0.50991, "time": 0.40114} -{"mode": "train", "epoch": 80, "iter": 50350, "lr": 4e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.29292, "decode.acc_seg": 71.43822, "aux.loss_seg": 0.20901, "aux.acc_seg": 65.3403, "loss": 0.50193, "time": 0.4015} -{"mode": "train", "epoch": 80, "iter": 50400, "lr": 4e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.30072, "decode.acc_seg": 71.02896, "aux.loss_seg": 0.21426, "aux.acc_seg": 64.66755, "loss": 0.51497, "time": 0.40101} -{"mode": "train", "epoch": 80, "iter": 50450, "lr": 4e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.31274, "decode.acc_seg": 71.29329, "aux.loss_seg": 0.22196, "aux.acc_seg": 64.64765, "loss": 0.5347, "time": 0.40087} -{"mode": "train", "epoch": 81, "iter": 50500, "lr": 4e-05, "memory": 22018, "data_time": 0.17946, "decode.loss_seg": 0.30302, "decode.acc_seg": 70.67475, "aux.loss_seg": 0.22213, "aux.acc_seg": 64.28529, "loss": 0.52516, "time": 0.57213} -{"mode": "train", "epoch": 81, "iter": 50550, "lr": 4e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.2865, "decode.acc_seg": 71.15368, "aux.loss_seg": 0.20621, "aux.acc_seg": 65.13647, "loss": 0.49271, "time": 0.40221} -{"mode": "train", "epoch": 81, "iter": 50600, "lr": 4e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.27997, "decode.acc_seg": 72.00749, "aux.loss_seg": 0.20246, "aux.acc_seg": 65.99583, "loss": 0.48242, "time": 0.4027} -{"mode": "train", "epoch": 81, "iter": 50650, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.28565, "decode.acc_seg": 72.08284, "aux.loss_seg": 0.20845, "aux.acc_seg": 66.10737, "loss": 0.4941, "time": 0.40217} -{"mode": "train", "epoch": 81, "iter": 50700, "lr": 4e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.28608, "decode.acc_seg": 71.32425, "aux.loss_seg": 0.21281, "aux.acc_seg": 64.93448, "loss": 0.49889, "time": 0.40085} -{"mode": "train", "epoch": 81, "iter": 50750, "lr": 4e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.28141, "decode.acc_seg": 70.37114, "aux.loss_seg": 0.20532, "aux.acc_seg": 64.15344, "loss": 0.48673, "time": 0.40165} -{"mode": "train", "epoch": 81, "iter": 50800, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.29197, "decode.acc_seg": 72.07224, "aux.loss_seg": 0.21645, "aux.acc_seg": 65.54069, "loss": 0.50842, "time": 0.40139} -{"mode": "train", "epoch": 81, "iter": 50850, "lr": 4e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.28732, "decode.acc_seg": 71.65085, "aux.loss_seg": 0.20948, "aux.acc_seg": 65.37834, "loss": 0.49679, "time": 0.40206} -{"mode": "train", "epoch": 81, "iter": 50900, "lr": 4e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.28359, "decode.acc_seg": 70.79015, "aux.loss_seg": 0.20495, "aux.acc_seg": 64.88251, "loss": 0.48853, "time": 0.40162} -{"mode": "train", "epoch": 81, "iter": 50950, "lr": 4e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.28656, "decode.acc_seg": 70.24999, "aux.loss_seg": 0.21281, "aux.acc_seg": 63.92367, "loss": 0.49938, "time": 0.4019} -{"mode": "train", "epoch": 81, "iter": 51000, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.28905, "decode.acc_seg": 70.38794, "aux.loss_seg": 0.21061, "aux.acc_seg": 64.04166, "loss": 0.49965, "time": 0.40135} -{"mode": "train", "epoch": 81, "iter": 51050, "lr": 4e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.29451, "decode.acc_seg": 72.22493, "aux.loss_seg": 0.21303, "aux.acc_seg": 66.09369, "loss": 0.50754, "time": 0.4015} -{"mode": "train", "epoch": 81, "iter": 51100, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.29589, "decode.acc_seg": 71.87416, "aux.loss_seg": 0.21323, "aux.acc_seg": 65.67864, "loss": 0.50912, "time": 0.40135} -{"mode": "train", "epoch": 82, "iter": 51150, "lr": 4e-05, "memory": 22018, "data_time": 0.17315, "decode.loss_seg": 0.29279, "decode.acc_seg": 71.35999, "aux.loss_seg": 0.21447, "aux.acc_seg": 65.06362, "loss": 0.50726, "time": 0.56784} -{"mode": "train", "epoch": 82, "iter": 51200, "lr": 4e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.28921, "decode.acc_seg": 71.54196, "aux.loss_seg": 0.21171, "aux.acc_seg": 65.28051, "loss": 0.50092, "time": 0.40271} -{"mode": "train", "epoch": 82, "iter": 51250, "lr": 4e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.29267, "decode.acc_seg": 71.57228, "aux.loss_seg": 0.21643, "aux.acc_seg": 65.13137, "loss": 0.50909, "time": 0.40253} -{"mode": "train", "epoch": 82, "iter": 51300, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.28191, "decode.acc_seg": 70.61612, "aux.loss_seg": 0.20542, "aux.acc_seg": 64.51327, "loss": 0.48733, "time": 0.40206} -{"mode": "train", "epoch": 82, "iter": 51350, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.30048, "decode.acc_seg": 71.48443, "aux.loss_seg": 0.20681, "aux.acc_seg": 65.55224, "loss": 0.50729, "time": 0.40249} -{"mode": "train", "epoch": 82, "iter": 51400, "lr": 4e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.29329, "decode.acc_seg": 72.10508, "aux.loss_seg": 0.20762, "aux.acc_seg": 66.33143, "loss": 0.5009, "time": 0.40254} -{"mode": "train", "epoch": 82, "iter": 51450, "lr": 4e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.28093, "decode.acc_seg": 69.34741, "aux.loss_seg": 0.20962, "aux.acc_seg": 62.93722, "loss": 0.49054, "time": 0.40234} -{"mode": "train", "epoch": 82, "iter": 51500, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.28884, "decode.acc_seg": 72.15715, "aux.loss_seg": 0.21015, "aux.acc_seg": 65.87527, "loss": 0.49899, "time": 0.4021} -{"mode": "train", "epoch": 82, "iter": 51550, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.28681, "decode.acc_seg": 71.58304, "aux.loss_seg": 0.20926, "aux.acc_seg": 65.07795, "loss": 0.49607, "time": 0.40256} -{"mode": "train", "epoch": 82, "iter": 51600, "lr": 4e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.28889, "decode.acc_seg": 72.23783, "aux.loss_seg": 0.21484, "aux.acc_seg": 65.54172, "loss": 0.50374, "time": 0.40171} -{"mode": "train", "epoch": 82, "iter": 51650, "lr": 4e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.29137, "decode.acc_seg": 69.84003, "aux.loss_seg": 0.21285, "aux.acc_seg": 63.39051, "loss": 0.50422, "time": 0.40227} -{"mode": "train", "epoch": 82, "iter": 51700, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.30818, "decode.acc_seg": 70.91914, "aux.loss_seg": 0.22285, "aux.acc_seg": 64.40828, "loss": 0.53103, "time": 0.40179} -{"mode": "train", "epoch": 83, "iter": 51750, "lr": 4e-05, "memory": 22018, "data_time": 0.17924, "decode.loss_seg": 0.29377, "decode.acc_seg": 70.68118, "aux.loss_seg": 0.20994, "aux.acc_seg": 64.66642, "loss": 0.50371, "time": 0.57272} -{"mode": "train", "epoch": 83, "iter": 51800, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.28697, "decode.acc_seg": 71.6754, "aux.loss_seg": 0.20744, "aux.acc_seg": 65.48457, "loss": 0.49441, "time": 0.40083} -{"mode": "train", "epoch": 83, "iter": 51850, "lr": 4e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.29063, "decode.acc_seg": 71.16337, "aux.loss_seg": 0.21145, "aux.acc_seg": 64.83201, "loss": 0.50207, "time": 0.40029} -{"mode": "train", "epoch": 83, "iter": 51900, "lr": 4e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.2846, "decode.acc_seg": 72.19523, "aux.loss_seg": 0.20581, "aux.acc_seg": 66.06311, "loss": 0.49041, "time": 0.40049} -{"mode": "train", "epoch": 83, "iter": 51950, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.28832, "decode.acc_seg": 71.50024, "aux.loss_seg": 0.21017, "aux.acc_seg": 65.18572, "loss": 0.49849, "time": 0.40036} -{"mode": "train", "epoch": 83, "iter": 52000, "lr": 4e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.27572, "decode.acc_seg": 70.95034, "aux.loss_seg": 0.20039, "aux.acc_seg": 65.00607, "loss": 0.47611, "time": 0.40069} -{"mode": "train", "epoch": 83, "iter": 52050, "lr": 4e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.28299, "decode.acc_seg": 71.57326, "aux.loss_seg": 0.20845, "aux.acc_seg": 65.26396, "loss": 0.49144, "time": 0.40092} -{"mode": "train", "epoch": 83, "iter": 52100, "lr": 4e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.30178, "decode.acc_seg": 71.0325, "aux.loss_seg": 0.2174, "aux.acc_seg": 64.71491, "loss": 0.51917, "time": 0.40133} -{"mode": "train", "epoch": 83, "iter": 52150, "lr": 4e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.28731, "decode.acc_seg": 72.07575, "aux.loss_seg": 0.20996, "aux.acc_seg": 65.88269, "loss": 0.49726, "time": 0.40009} -{"mode": "train", "epoch": 83, "iter": 52200, "lr": 4e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.29298, "decode.acc_seg": 71.0278, "aux.loss_seg": 0.21223, "aux.acc_seg": 64.95452, "loss": 0.50521, "time": 0.40149} -{"mode": "train", "epoch": 83, "iter": 52250, "lr": 4e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.29042, "decode.acc_seg": 71.69093, "aux.loss_seg": 0.20689, "aux.acc_seg": 65.66289, "loss": 0.49731, "time": 0.40071} -{"mode": "train", "epoch": 83, "iter": 52300, "lr": 4e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.29498, "decode.acc_seg": 71.18781, "aux.loss_seg": 0.20894, "aux.acc_seg": 65.1041, "loss": 0.50392, "time": 0.40146} -{"mode": "train", "epoch": 83, "iter": 52350, "lr": 4e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.28973, "decode.acc_seg": 71.7933, "aux.loss_seg": 0.21432, "aux.acc_seg": 65.13594, "loss": 0.50405, "time": 0.40139} -{"mode": "train", "epoch": 84, "iter": 52400, "lr": 4e-05, "memory": 22018, "data_time": 0.17039, "decode.loss_seg": 0.28732, "decode.acc_seg": 71.68571, "aux.loss_seg": 0.21397, "aux.acc_seg": 65.12044, "loss": 0.50129, "time": 0.56313} -{"mode": "train", "epoch": 84, "iter": 52450, "lr": 4e-05, "memory": 22018, "data_time": 0.01031, "decode.loss_seg": 0.27945, "decode.acc_seg": 71.34548, "aux.loss_seg": 0.20528, "aux.acc_seg": 65.43027, "loss": 0.48472, "time": 0.40198} -{"mode": "train", "epoch": 84, "iter": 52500, "lr": 4e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.28791, "decode.acc_seg": 71.49567, "aux.loss_seg": 0.21501, "aux.acc_seg": 64.9191, "loss": 0.50292, "time": 0.40231} -{"mode": "train", "epoch": 84, "iter": 52550, "lr": 4e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.2951, "decode.acc_seg": 70.96011, "aux.loss_seg": 0.21507, "aux.acc_seg": 64.68104, "loss": 0.51017, "time": 0.40178} -{"mode": "train", "epoch": 84, "iter": 52600, "lr": 4e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.27654, "decode.acc_seg": 71.92419, "aux.loss_seg": 0.20519, "aux.acc_seg": 65.69932, "loss": 0.48172, "time": 0.40165} -{"mode": "train", "epoch": 84, "iter": 52650, "lr": 4e-05, "memory": 22018, "data_time": 0.01056, "decode.loss_seg": 0.28597, "decode.acc_seg": 72.17658, "aux.loss_seg": 0.20647, "aux.acc_seg": 65.96633, "loss": 0.49244, "time": 0.4019} -{"mode": "train", "epoch": 84, "iter": 52700, "lr": 4e-05, "memory": 22018, "data_time": 0.01036, "decode.loss_seg": 0.28462, "decode.acc_seg": 72.05178, "aux.loss_seg": 0.20437, "aux.acc_seg": 66.07348, "loss": 0.489, "time": 0.40203} -{"mode": "train", "epoch": 84, "iter": 52750, "lr": 4e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.30042, "decode.acc_seg": 70.62457, "aux.loss_seg": 0.2115, "aux.acc_seg": 64.62374, "loss": 0.51191, "time": 0.40219} -{"mode": "train", "epoch": 84, "iter": 52800, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.28961, "decode.acc_seg": 72.05013, "aux.loss_seg": 0.21167, "aux.acc_seg": 65.78142, "loss": 0.50128, "time": 0.40138} -{"mode": "train", "epoch": 84, "iter": 52850, "lr": 4e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.29633, "decode.acc_seg": 71.79342, "aux.loss_seg": 0.21586, "aux.acc_seg": 65.59034, "loss": 0.51219, "time": 0.40164} -{"mode": "train", "epoch": 84, "iter": 52900, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.2925, "decode.acc_seg": 71.68514, "aux.loss_seg": 0.21252, "aux.acc_seg": 65.50356, "loss": 0.50502, "time": 0.40191} -{"mode": "train", "epoch": 84, "iter": 52950, "lr": 4e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.30417, "decode.acc_seg": 70.32067, "aux.loss_seg": 0.21254, "aux.acc_seg": 64.15468, "loss": 0.51671, "time": 0.40232} -{"mode": "train", "epoch": 84, "iter": 53000, "lr": 4e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.29599, "decode.acc_seg": 71.84745, "aux.loss_seg": 0.21637, "aux.acc_seg": 65.58453, "loss": 0.51236, "time": 0.4019} -{"mode": "train", "epoch": 85, "iter": 53050, "lr": 4e-05, "memory": 22018, "data_time": 0.17452, "decode.loss_seg": 0.29355, "decode.acc_seg": 72.34113, "aux.loss_seg": 0.20924, "aux.acc_seg": 66.28924, "loss": 0.5028, "time": 0.56701} -{"mode": "train", "epoch": 85, "iter": 53100, "lr": 4e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.28741, "decode.acc_seg": 70.78233, "aux.loss_seg": 0.21082, "aux.acc_seg": 64.45795, "loss": 0.49823, "time": 0.40067} -{"mode": "train", "epoch": 85, "iter": 53150, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.28264, "decode.acc_seg": 71.94438, "aux.loss_seg": 0.20622, "aux.acc_seg": 65.95329, "loss": 0.48886, "time": 0.40053} -{"mode": "train", "epoch": 85, "iter": 53200, "lr": 4e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.27821, "decode.acc_seg": 71.18231, "aux.loss_seg": 0.20499, "aux.acc_seg": 64.96088, "loss": 0.4832, "time": 0.40132} -{"mode": "train", "epoch": 85, "iter": 53250, "lr": 4e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.28803, "decode.acc_seg": 72.27441, "aux.loss_seg": 0.2167, "aux.acc_seg": 65.67706, "loss": 0.50473, "time": 0.40083} -{"mode": "train", "epoch": 85, "iter": 53300, "lr": 4e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.29147, "decode.acc_seg": 72.06052, "aux.loss_seg": 0.21665, "aux.acc_seg": 65.3863, "loss": 0.50812, "time": 0.40096} -{"mode": "train", "epoch": 85, "iter": 53350, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.28436, "decode.acc_seg": 72.37133, "aux.loss_seg": 0.20828, "aux.acc_seg": 66.05355, "loss": 0.49263, "time": 0.40133} -{"mode": "train", "epoch": 85, "iter": 53400, "lr": 4e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.28833, "decode.acc_seg": 71.50896, "aux.loss_seg": 0.20994, "aux.acc_seg": 65.1292, "loss": 0.49827, "time": 0.40181} -{"mode": "train", "epoch": 85, "iter": 53450, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.27998, "decode.acc_seg": 71.05199, "aux.loss_seg": 0.20861, "aux.acc_seg": 64.73241, "loss": 0.48858, "time": 0.40143} -{"mode": "train", "epoch": 85, "iter": 53500, "lr": 4e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.29313, "decode.acc_seg": 71.35513, "aux.loss_seg": 0.21255, "aux.acc_seg": 64.9696, "loss": 0.50569, "time": 0.40232} -{"mode": "train", "epoch": 85, "iter": 53550, "lr": 4e-05, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.29422, "decode.acc_seg": 71.93478, "aux.loss_seg": 0.20881, "aux.acc_seg": 65.61967, "loss": 0.50302, "time": 0.40193} -{"mode": "train", "epoch": 85, "iter": 53600, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.29198, "decode.acc_seg": 71.68511, "aux.loss_seg": 0.20778, "aux.acc_seg": 65.56456, "loss": 0.49975, "time": 0.4013} -{"mode": "train", "epoch": 86, "iter": 53650, "lr": 4e-05, "memory": 22018, "data_time": 0.17799, "decode.loss_seg": 0.2785, "decode.acc_seg": 71.30159, "aux.loss_seg": 0.20746, "aux.acc_seg": 65.00081, "loss": 0.48596, "time": 0.56983} -{"mode": "train", "epoch": 86, "iter": 53700, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.278, "decode.acc_seg": 71.15379, "aux.loss_seg": 0.20448, "aux.acc_seg": 65.03076, "loss": 0.48248, "time": 0.39929} -{"mode": "train", "epoch": 86, "iter": 53750, "lr": 4e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.28777, "decode.acc_seg": 72.86912, "aux.loss_seg": 0.21823, "aux.acc_seg": 65.97844, "loss": 0.506, "time": 0.39973} -{"mode": "train", "epoch": 86, "iter": 53800, "lr": 4e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.28219, "decode.acc_seg": 71.53183, "aux.loss_seg": 0.20895, "aux.acc_seg": 65.23027, "loss": 0.49114, "time": 0.40027} -{"mode": "train", "epoch": 86, "iter": 53850, "lr": 4e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.28006, "decode.acc_seg": 71.92839, "aux.loss_seg": 0.20087, "aux.acc_seg": 66.16718, "loss": 0.48093, "time": 0.40135} -{"mode": "train", "epoch": 86, "iter": 53900, "lr": 4e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.29738, "decode.acc_seg": 71.79804, "aux.loss_seg": 0.21799, "aux.acc_seg": 65.40723, "loss": 0.51536, "time": 0.40079} -{"mode": "train", "epoch": 86, "iter": 53950, "lr": 4e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.2787, "decode.acc_seg": 72.51477, "aux.loss_seg": 0.20474, "aux.acc_seg": 66.17012, "loss": 0.48344, "time": 0.40064} -{"mode": "train", "epoch": 86, "iter": 54000, "lr": 4e-05, "memory": 22018, "data_time": 0.00693, "decode.loss_seg": 0.27104, "decode.acc_seg": 71.38664, "aux.loss_seg": 0.20666, "aux.acc_seg": 64.81428, "loss": 0.4777, "time": 0.40085} -{"mode": "train", "epoch": 86, "iter": 54050, "lr": 4e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.28107, "decode.acc_seg": 70.06901, "aux.loss_seg": 0.20893, "aux.acc_seg": 63.57158, "loss": 0.49, "time": 0.40137} -{"mode": "train", "epoch": 86, "iter": 54100, "lr": 4e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.2658, "decode.acc_seg": 70.74011, "aux.loss_seg": 0.20118, "aux.acc_seg": 64.57837, "loss": 0.46698, "time": 0.40007} -{"mode": "train", "epoch": 86, "iter": 54150, "lr": 4e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.28683, "decode.acc_seg": 71.22193, "aux.loss_seg": 0.2049, "aux.acc_seg": 65.14659, "loss": 0.49173, "time": 0.40038} -{"mode": "train", "epoch": 86, "iter": 54200, "lr": 4e-05, "memory": 22018, "data_time": 0.00724, "decode.loss_seg": 0.28471, "decode.acc_seg": 70.62242, "aux.loss_seg": 0.20519, "aux.acc_seg": 64.73489, "loss": 0.48989, "time": 0.40071} -{"mode": "train", "epoch": 86, "iter": 54250, "lr": 4e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.28438, "decode.acc_seg": 71.15344, "aux.loss_seg": 0.19977, "aux.acc_seg": 65.46949, "loss": 0.48415, "time": 0.40094} -{"mode": "train", "epoch": 87, "iter": 54300, "lr": 4e-05, "memory": 22018, "data_time": 0.17302, "decode.loss_seg": 0.28118, "decode.acc_seg": 71.65894, "aux.loss_seg": 0.20955, "aux.acc_seg": 65.34109, "loss": 0.49073, "time": 0.56612} -{"mode": "train", "epoch": 87, "iter": 54350, "lr": 4e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.28428, "decode.acc_seg": 72.00891, "aux.loss_seg": 0.20759, "aux.acc_seg": 65.9464, "loss": 0.49187, "time": 0.40193} -{"mode": "train", "epoch": 87, "iter": 54400, "lr": 4e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.28047, "decode.acc_seg": 71.81436, "aux.loss_seg": 0.20517, "aux.acc_seg": 65.64967, "loss": 0.48563, "time": 0.40074} -{"mode": "train", "epoch": 87, "iter": 54450, "lr": 4e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.2912, "decode.acc_seg": 71.67176, "aux.loss_seg": 0.21314, "aux.acc_seg": 65.27642, "loss": 0.50434, "time": 0.40193} -{"mode": "train", "epoch": 87, "iter": 54500, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.27436, "decode.acc_seg": 71.65848, "aux.loss_seg": 0.1999, "aux.acc_seg": 65.62024, "loss": 0.47426, "time": 0.40199} -{"mode": "train", "epoch": 87, "iter": 54550, "lr": 4e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.28525, "decode.acc_seg": 71.84649, "aux.loss_seg": 0.21362, "aux.acc_seg": 65.23129, "loss": 0.49887, "time": 0.40154} -{"mode": "train", "epoch": 87, "iter": 54600, "lr": 4e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.27572, "decode.acc_seg": 71.47403, "aux.loss_seg": 0.2069, "aux.acc_seg": 64.87937, "loss": 0.48262, "time": 0.40076} -{"mode": "train", "epoch": 87, "iter": 54650, "lr": 4e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.26781, "decode.acc_seg": 71.38105, "aux.loss_seg": 0.20096, "aux.acc_seg": 65.09071, "loss": 0.46877, "time": 0.40065} -{"mode": "train", "epoch": 87, "iter": 54700, "lr": 4e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.29187, "decode.acc_seg": 71.46606, "aux.loss_seg": 0.21064, "aux.acc_seg": 65.32814, "loss": 0.50251, "time": 0.40073} -{"mode": "train", "epoch": 87, "iter": 54750, "lr": 4e-05, "memory": 22018, "data_time": 0.00798, "decode.loss_seg": 0.28112, "decode.acc_seg": 72.00263, "aux.loss_seg": 0.20234, "aux.acc_seg": 66.05603, "loss": 0.48346, "time": 0.40072} -{"mode": "train", "epoch": 87, "iter": 54800, "lr": 4e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.27962, "decode.acc_seg": 71.02291, "aux.loss_seg": 0.20209, "aux.acc_seg": 64.94766, "loss": 0.48171, "time": 0.4003} -{"mode": "train", "epoch": 87, "iter": 54850, "lr": 4e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.29596, "decode.acc_seg": 71.95217, "aux.loss_seg": 0.2188, "aux.acc_seg": 65.42416, "loss": 0.51476, "time": 0.40046} -{"mode": "train", "epoch": 88, "iter": 54900, "lr": 4e-05, "memory": 22018, "data_time": 0.17865, "decode.loss_seg": 0.2799, "decode.acc_seg": 71.40853, "aux.loss_seg": 0.20476, "aux.acc_seg": 65.30268, "loss": 0.48466, "time": 0.57109} -{"mode": "train", "epoch": 88, "iter": 54950, "lr": 4e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.26864, "decode.acc_seg": 71.35813, "aux.loss_seg": 0.19713, "aux.acc_seg": 65.39591, "loss": 0.46577, "time": 0.40115} -{"mode": "train", "epoch": 88, "iter": 55000, "lr": 4e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.27357, "decode.acc_seg": 71.84713, "aux.loss_seg": 0.20569, "aux.acc_seg": 65.40423, "loss": 0.47926, "time": 0.40028} -{"mode": "train", "epoch": 88, "iter": 55050, "lr": 4e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.28544, "decode.acc_seg": 71.82462, "aux.loss_seg": 0.21071, "aux.acc_seg": 65.46685, "loss": 0.49616, "time": 0.4005} -{"mode": "train", "epoch": 88, "iter": 55100, "lr": 4e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.29036, "decode.acc_seg": 72.1615, "aux.loss_seg": 0.21251, "aux.acc_seg": 65.80633, "loss": 0.50288, "time": 0.40015} -{"mode": "train", "epoch": 88, "iter": 55150, "lr": 4e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.28994, "decode.acc_seg": 71.94388, "aux.loss_seg": 0.21017, "aux.acc_seg": 65.54838, "loss": 0.50011, "time": 0.40141} -{"mode": "train", "epoch": 88, "iter": 55200, "lr": 4e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.28166, "decode.acc_seg": 71.80417, "aux.loss_seg": 0.21044, "aux.acc_seg": 65.43492, "loss": 0.4921, "time": 0.40044} -{"mode": "train", "epoch": 88, "iter": 55250, "lr": 4e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.29138, "decode.acc_seg": 72.37579, "aux.loss_seg": 0.20953, "aux.acc_seg": 66.52597, "loss": 0.50091, "time": 0.40127} -{"mode": "train", "epoch": 88, "iter": 55300, "lr": 4e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.29029, "decode.acc_seg": 72.12671, "aux.loss_seg": 0.21296, "aux.acc_seg": 65.71803, "loss": 0.50325, "time": 0.40009} -{"mode": "train", "epoch": 88, "iter": 55350, "lr": 4e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.28154, "decode.acc_seg": 71.1605, "aux.loss_seg": 0.20675, "aux.acc_seg": 64.99176, "loss": 0.48829, "time": 0.40113} -{"mode": "train", "epoch": 88, "iter": 55400, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.28581, "decode.acc_seg": 71.22814, "aux.loss_seg": 0.21058, "aux.acc_seg": 64.71451, "loss": 0.4964, "time": 0.40179} -{"mode": "train", "epoch": 88, "iter": 55450, "lr": 4e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.28367, "decode.acc_seg": 71.22684, "aux.loss_seg": 0.20783, "aux.acc_seg": 65.01593, "loss": 0.49149, "time": 0.40239} -{"mode": "train", "epoch": 88, "iter": 55500, "lr": 4e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.28249, "decode.acc_seg": 70.58794, "aux.loss_seg": 0.21011, "aux.acc_seg": 64.32407, "loss": 0.4926, "time": 0.40107} -{"mode": "train", "epoch": 89, "iter": 55550, "lr": 4e-05, "memory": 22018, "data_time": 0.17272, "decode.loss_seg": 0.27662, "decode.acc_seg": 71.69257, "aux.loss_seg": 0.20181, "aux.acc_seg": 65.45924, "loss": 0.47844, "time": 0.56575} -{"mode": "train", "epoch": 89, "iter": 55600, "lr": 4e-05, "memory": 22018, "data_time": 0.01077, "decode.loss_seg": 0.27715, "decode.acc_seg": 71.73441, "aux.loss_seg": 0.20017, "aux.acc_seg": 65.74909, "loss": 0.47732, "time": 0.40274} -{"mode": "train", "epoch": 89, "iter": 55650, "lr": 4e-05, "memory": 22018, "data_time": 0.01089, "decode.loss_seg": 0.28867, "decode.acc_seg": 71.45372, "aux.loss_seg": 0.21336, "aux.acc_seg": 65.10059, "loss": 0.50204, "time": 0.40289} -{"mode": "train", "epoch": 89, "iter": 55700, "lr": 4e-05, "memory": 22018, "data_time": 0.01081, "decode.loss_seg": 0.26875, "decode.acc_seg": 71.18806, "aux.loss_seg": 0.19825, "aux.acc_seg": 65.09331, "loss": 0.467, "time": 0.40312} -{"mode": "train", "epoch": 89, "iter": 55750, "lr": 4e-05, "memory": 22018, "data_time": 0.01084, "decode.loss_seg": 0.2755, "decode.acc_seg": 72.3657, "aux.loss_seg": 0.20012, "aux.acc_seg": 66.44779, "loss": 0.47562, "time": 0.4025} -{"mode": "train", "epoch": 89, "iter": 55800, "lr": 4e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.28064, "decode.acc_seg": 71.34961, "aux.loss_seg": 0.20602, "aux.acc_seg": 65.05503, "loss": 0.48666, "time": 0.40192} -{"mode": "train", "epoch": 89, "iter": 55850, "lr": 4e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.26867, "decode.acc_seg": 71.96051, "aux.loss_seg": 0.20052, "aux.acc_seg": 65.77463, "loss": 0.4692, "time": 0.40152} -{"mode": "train", "epoch": 89, "iter": 55900, "lr": 4e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.27928, "decode.acc_seg": 72.46842, "aux.loss_seg": 0.20537, "aux.acc_seg": 66.40271, "loss": 0.48465, "time": 0.40157} -{"mode": "train", "epoch": 89, "iter": 55950, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.27862, "decode.acc_seg": 71.80512, "aux.loss_seg": 0.21066, "aux.acc_seg": 65.1277, "loss": 0.48929, "time": 0.40144} -{"mode": "train", "epoch": 89, "iter": 56000, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.2793, "decode.acc_seg": 71.26922, "aux.loss_seg": 0.20599, "aux.acc_seg": 64.99925, "loss": 0.48529, "time": 0.40134} -{"mode": "train", "epoch": 89, "iter": 56050, "lr": 4e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.28731, "decode.acc_seg": 72.00233, "aux.loss_seg": 0.21135, "aux.acc_seg": 65.72009, "loss": 0.49866, "time": 0.40215} -{"mode": "train", "epoch": 89, "iter": 56100, "lr": 4e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.27769, "decode.acc_seg": 71.97516, "aux.loss_seg": 0.2, "aux.acc_seg": 66.1631, "loss": 0.47769, "time": 0.40235} -{"mode": "train", "epoch": 89, "iter": 56150, "lr": 4e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.28937, "decode.acc_seg": 71.56868, "aux.loss_seg": 0.21128, "aux.acc_seg": 65.28474, "loss": 0.50065, "time": 0.40263} -{"mode": "train", "epoch": 90, "iter": 56200, "lr": 4e-05, "memory": 22018, "data_time": 0.17097, "decode.loss_seg": 0.28854, "decode.acc_seg": 72.43907, "aux.loss_seg": 0.20964, "aux.acc_seg": 66.03785, "loss": 0.49818, "time": 0.56345} -{"mode": "train", "epoch": 90, "iter": 56250, "lr": 4e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.28599, "decode.acc_seg": 71.47525, "aux.loss_seg": 0.20995, "aux.acc_seg": 65.09427, "loss": 0.49594, "time": 0.40054} -{"mode": "train", "epoch": 90, "iter": 56300, "lr": 4e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.27475, "decode.acc_seg": 71.84967, "aux.loss_seg": 0.20715, "aux.acc_seg": 65.37191, "loss": 0.4819, "time": 0.40039} -{"mode": "train", "epoch": 90, "iter": 56350, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.28031, "decode.acc_seg": 72.37075, "aux.loss_seg": 0.20848, "aux.acc_seg": 65.89421, "loss": 0.48878, "time": 0.4014} -{"mode": "train", "epoch": 90, "iter": 56400, "lr": 4e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.28101, "decode.acc_seg": 71.81652, "aux.loss_seg": 0.20537, "aux.acc_seg": 65.56906, "loss": 0.48637, "time": 0.40228} -{"mode": "train", "epoch": 90, "iter": 56450, "lr": 4e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.27388, "decode.acc_seg": 71.74032, "aux.loss_seg": 0.20675, "aux.acc_seg": 65.24867, "loss": 0.48063, "time": 0.401} -{"mode": "train", "epoch": 90, "iter": 56500, "lr": 4e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.27299, "decode.acc_seg": 71.85523, "aux.loss_seg": 0.20637, "aux.acc_seg": 65.60962, "loss": 0.47936, "time": 0.40078} -{"mode": "train", "epoch": 90, "iter": 56550, "lr": 4e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.28165, "decode.acc_seg": 72.13851, "aux.loss_seg": 0.20166, "aux.acc_seg": 66.29105, "loss": 0.48332, "time": 0.4012} -{"mode": "train", "epoch": 90, "iter": 56600, "lr": 4e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.28624, "decode.acc_seg": 71.00427, "aux.loss_seg": 0.20712, "aux.acc_seg": 64.68636, "loss": 0.49337, "time": 0.4013} -{"mode": "train", "epoch": 90, "iter": 56650, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.28748, "decode.acc_seg": 72.02241, "aux.loss_seg": 0.21085, "aux.acc_seg": 65.49028, "loss": 0.49833, "time": 0.40144} -{"mode": "train", "epoch": 90, "iter": 56700, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.28257, "decode.acc_seg": 71.09226, "aux.loss_seg": 0.20284, "aux.acc_seg": 65.16266, "loss": 0.48541, "time": 0.40062} -{"mode": "train", "epoch": 90, "iter": 56750, "lr": 4e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.27636, "decode.acc_seg": 70.90934, "aux.loss_seg": 0.20664, "aux.acc_seg": 64.69796, "loss": 0.483, "time": 0.40246} -{"mode": "train", "epoch": 91, "iter": 56800, "lr": 4e-05, "memory": 22018, "data_time": 0.17188, "decode.loss_seg": 0.27408, "decode.acc_seg": 71.25527, "aux.loss_seg": 0.20271, "aux.acc_seg": 64.99944, "loss": 0.47679, "time": 0.56522} -{"mode": "train", "epoch": 91, "iter": 56850, "lr": 4e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.28862, "decode.acc_seg": 71.83321, "aux.loss_seg": 0.2115, "aux.acc_seg": 65.43043, "loss": 0.50012, "time": 0.40108} -{"mode": "train", "epoch": 91, "iter": 56900, "lr": 4e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.29446, "decode.acc_seg": 71.49108, "aux.loss_seg": 0.21463, "aux.acc_seg": 64.96129, "loss": 0.50909, "time": 0.40141} -{"mode": "train", "epoch": 91, "iter": 56950, "lr": 4e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.27529, "decode.acc_seg": 71.39132, "aux.loss_seg": 0.20352, "aux.acc_seg": 65.39646, "loss": 0.47881, "time": 0.40201} -{"mode": "train", "epoch": 91, "iter": 57000, "lr": 4e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.27088, "decode.acc_seg": 71.75205, "aux.loss_seg": 0.20301, "aux.acc_seg": 65.56406, "loss": 0.47389, "time": 0.40165} -{"mode": "train", "epoch": 91, "iter": 57050, "lr": 4e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.27192, "decode.acc_seg": 70.75347, "aux.loss_seg": 0.19565, "aux.acc_seg": 65.13662, "loss": 0.46757, "time": 0.40209} -{"mode": "train", "epoch": 91, "iter": 57100, "lr": 4e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.27922, "decode.acc_seg": 72.096, "aux.loss_seg": 0.20538, "aux.acc_seg": 65.83794, "loss": 0.4846, "time": 0.40264} -{"mode": "train", "epoch": 91, "iter": 57150, "lr": 4e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.27696, "decode.acc_seg": 72.31935, "aux.loss_seg": 0.20462, "aux.acc_seg": 66.04133, "loss": 0.48158, "time": 0.40186} -{"mode": "train", "epoch": 91, "iter": 57200, "lr": 4e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.27458, "decode.acc_seg": 71.60337, "aux.loss_seg": 0.20527, "aux.acc_seg": 65.3847, "loss": 0.47985, "time": 0.40121} -{"mode": "train", "epoch": 91, "iter": 57250, "lr": 4e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.27877, "decode.acc_seg": 72.17006, "aux.loss_seg": 0.20157, "aux.acc_seg": 66.11607, "loss": 0.48034, "time": 0.4017} -{"mode": "train", "epoch": 91, "iter": 57300, "lr": 4e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.27208, "decode.acc_seg": 72.25216, "aux.loss_seg": 0.20432, "aux.acc_seg": 65.82569, "loss": 0.47639, "time": 0.40156} -{"mode": "train", "epoch": 91, "iter": 57350, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.2788, "decode.acc_seg": 71.50217, "aux.loss_seg": 0.20746, "aux.acc_seg": 65.00071, "loss": 0.48626, "time": 0.40142} -{"mode": "train", "epoch": 91, "iter": 57400, "lr": 4e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.2859, "decode.acc_seg": 70.96292, "aux.loss_seg": 0.20781, "aux.acc_seg": 64.6055, "loss": 0.49371, "time": 0.40225} -{"mode": "train", "epoch": 92, "iter": 57450, "lr": 4e-05, "memory": 22018, "data_time": 0.17118, "decode.loss_seg": 0.27531, "decode.acc_seg": 71.34141, "aux.loss_seg": 0.20179, "aux.acc_seg": 65.42122, "loss": 0.4771, "time": 0.56485} -{"mode": "train", "epoch": 92, "iter": 57500, "lr": 4e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.27714, "decode.acc_seg": 71.71867, "aux.loss_seg": 0.2048, "aux.acc_seg": 65.60852, "loss": 0.48194, "time": 0.40064} -{"mode": "train", "epoch": 92, "iter": 57550, "lr": 4e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.27018, "decode.acc_seg": 71.21557, "aux.loss_seg": 0.19832, "aux.acc_seg": 65.37275, "loss": 0.46849, "time": 0.40075} -{"mode": "train", "epoch": 92, "iter": 57600, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.27323, "decode.acc_seg": 71.36702, "aux.loss_seg": 0.203, "aux.acc_seg": 65.21339, "loss": 0.47623, "time": 0.40152} -{"mode": "train", "epoch": 92, "iter": 57650, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.25838, "decode.acc_seg": 72.61632, "aux.loss_seg": 0.19473, "aux.acc_seg": 66.52909, "loss": 0.45311, "time": 0.40162} -{"mode": "train", "epoch": 92, "iter": 57700, "lr": 4e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.27109, "decode.acc_seg": 71.82394, "aux.loss_seg": 0.20392, "aux.acc_seg": 65.50908, "loss": 0.47501, "time": 0.40123} -{"mode": "train", "epoch": 92, "iter": 57750, "lr": 4e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.28418, "decode.acc_seg": 70.84677, "aux.loss_seg": 0.20741, "aux.acc_seg": 64.70335, "loss": 0.49159, "time": 0.40084} -{"mode": "train", "epoch": 92, "iter": 57800, "lr": 4e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.28441, "decode.acc_seg": 72.07829, "aux.loss_seg": 0.20704, "aux.acc_seg": 65.99767, "loss": 0.49146, "time": 0.40039} -{"mode": "train", "epoch": 92, "iter": 57850, "lr": 4e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.26892, "decode.acc_seg": 72.04198, "aux.loss_seg": 0.19497, "aux.acc_seg": 66.42059, "loss": 0.46389, "time": 0.40039} -{"mode": "train", "epoch": 92, "iter": 57900, "lr": 4e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.26301, "decode.acc_seg": 71.71766, "aux.loss_seg": 0.19565, "aux.acc_seg": 65.77367, "loss": 0.45866, "time": 0.40139} -{"mode": "train", "epoch": 92, "iter": 57950, "lr": 4e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.28219, "decode.acc_seg": 72.09371, "aux.loss_seg": 0.20507, "aux.acc_seg": 65.96865, "loss": 0.48726, "time": 0.40137} -{"mode": "train", "epoch": 92, "iter": 58000, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.27989, "decode.acc_seg": 70.45853, "aux.loss_seg": 0.2035, "aux.acc_seg": 64.4255, "loss": 0.4834, "time": 0.40119} -{"mode": "train", "epoch": 92, "iter": 58050, "lr": 4e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.2846, "decode.acc_seg": 72.23038, "aux.loss_seg": 0.20947, "aux.acc_seg": 66.07534, "loss": 0.49407, "time": 0.40078} -{"mode": "train", "epoch": 93, "iter": 58100, "lr": 4e-05, "memory": 22018, "data_time": 0.16577, "decode.loss_seg": 0.25602, "decode.acc_seg": 71.91882, "aux.loss_seg": 0.19555, "aux.acc_seg": 65.798, "loss": 0.45157, "time": 0.55928} -{"mode": "train", "epoch": 93, "iter": 58150, "lr": 4e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.26695, "decode.acc_seg": 72.29434, "aux.loss_seg": 0.19722, "aux.acc_seg": 66.21733, "loss": 0.46417, "time": 0.39967} -{"mode": "train", "epoch": 93, "iter": 58200, "lr": 4e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.27501, "decode.acc_seg": 71.06152, "aux.loss_seg": 0.1996, "aux.acc_seg": 65.08643, "loss": 0.47461, "time": 0.4} -{"mode": "train", "epoch": 93, "iter": 58250, "lr": 4e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.27357, "decode.acc_seg": 72.46071, "aux.loss_seg": 0.20498, "aux.acc_seg": 66.04651, "loss": 0.47854, "time": 0.39961} -{"mode": "train", "epoch": 93, "iter": 58300, "lr": 4e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.26858, "decode.acc_seg": 71.43278, "aux.loss_seg": 0.20487, "aux.acc_seg": 65.03899, "loss": 0.47345, "time": 0.39992} -{"mode": "train", "epoch": 93, "iter": 58350, "lr": 4e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.27309, "decode.acc_seg": 72.76124, "aux.loss_seg": 0.20199, "aux.acc_seg": 66.77642, "loss": 0.47508, "time": 0.39944} -{"mode": "train", "epoch": 93, "iter": 58400, "lr": 4e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.28041, "decode.acc_seg": 71.76094, "aux.loss_seg": 0.20745, "aux.acc_seg": 65.37374, "loss": 0.48786, "time": 0.40046} -{"mode": "train", "epoch": 93, "iter": 58450, "lr": 4e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.2721, "decode.acc_seg": 71.14535, "aux.loss_seg": 0.20053, "aux.acc_seg": 65.10722, "loss": 0.47263, "time": 0.39962} -{"mode": "train", "epoch": 93, "iter": 58500, "lr": 4e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.28152, "decode.acc_seg": 72.21394, "aux.loss_seg": 0.20615, "aux.acc_seg": 66.2234, "loss": 0.48767, "time": 0.39956} -{"mode": "train", "epoch": 93, "iter": 58550, "lr": 4e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.28075, "decode.acc_seg": 71.53602, "aux.loss_seg": 0.20761, "aux.acc_seg": 65.11917, "loss": 0.48835, "time": 0.40112} -{"mode": "train", "epoch": 93, "iter": 58600, "lr": 4e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.28119, "decode.acc_seg": 71.40613, "aux.loss_seg": 0.20912, "aux.acc_seg": 65.08804, "loss": 0.49031, "time": 0.39989} -{"mode": "train", "epoch": 93, "iter": 58650, "lr": 4e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.27179, "decode.acc_seg": 71.17623, "aux.loss_seg": 0.19976, "aux.acc_seg": 65.041, "loss": 0.47155, "time": 0.40018} -{"mode": "train", "epoch": 94, "iter": 58700, "lr": 4e-05, "memory": 22018, "data_time": 0.16876, "decode.loss_seg": 0.28234, "decode.acc_seg": 72.32532, "aux.loss_seg": 0.20801, "aux.acc_seg": 65.98815, "loss": 0.49035, "time": 0.56149} -{"mode": "train", "epoch": 94, "iter": 58750, "lr": 4e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.28317, "decode.acc_seg": 71.20592, "aux.loss_seg": 0.20713, "aux.acc_seg": 65.0894, "loss": 0.49029, "time": 0.40205} -{"mode": "train", "epoch": 94, "iter": 58800, "lr": 4e-05, "memory": 22018, "data_time": 0.01056, "decode.loss_seg": 0.26406, "decode.acc_seg": 71.91346, "aux.loss_seg": 0.19637, "aux.acc_seg": 65.8966, "loss": 0.46043, "time": 0.40261} -{"mode": "train", "epoch": 94, "iter": 58850, "lr": 4e-05, "memory": 22018, "data_time": 0.01107, "decode.loss_seg": 0.26692, "decode.acc_seg": 71.9252, "aux.loss_seg": 0.19864, "aux.acc_seg": 65.70441, "loss": 0.46556, "time": 0.40315} -{"mode": "train", "epoch": 94, "iter": 58900, "lr": 4e-05, "memory": 22018, "data_time": 0.0108, "decode.loss_seg": 0.27408, "decode.acc_seg": 72.72206, "aux.loss_seg": 0.20111, "aux.acc_seg": 66.49209, "loss": 0.47519, "time": 0.40309} -{"mode": "train", "epoch": 94, "iter": 58950, "lr": 4e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.26321, "decode.acc_seg": 71.7246, "aux.loss_seg": 0.19576, "aux.acc_seg": 65.50754, "loss": 0.45897, "time": 0.4036} -{"mode": "train", "epoch": 94, "iter": 59000, "lr": 4e-05, "memory": 22018, "data_time": 0.01066, "decode.loss_seg": 0.27718, "decode.acc_seg": 72.43068, "aux.loss_seg": 0.20438, "aux.acc_seg": 66.31323, "loss": 0.48155, "time": 0.40261} -{"mode": "train", "epoch": 94, "iter": 59050, "lr": 4e-05, "memory": 22018, "data_time": 0.01029, "decode.loss_seg": 0.26408, "decode.acc_seg": 71.70219, "aux.loss_seg": 0.19626, "aux.acc_seg": 65.6998, "loss": 0.46033, "time": 0.40244} -{"mode": "train", "epoch": 94, "iter": 59100, "lr": 4e-05, "memory": 22018, "data_time": 0.01078, "decode.loss_seg": 0.275, "decode.acc_seg": 71.96734, "aux.loss_seg": 0.20313, "aux.acc_seg": 65.71639, "loss": 0.47813, "time": 0.40305} -{"mode": "train", "epoch": 94, "iter": 59150, "lr": 4e-05, "memory": 22018, "data_time": 0.01055, "decode.loss_seg": 0.28624, "decode.acc_seg": 71.75897, "aux.loss_seg": 0.20854, "aux.acc_seg": 65.44577, "loss": 0.49478, "time": 0.40225} -{"mode": "train", "epoch": 94, "iter": 59200, "lr": 4e-05, "memory": 22018, "data_time": 0.01121, "decode.loss_seg": 0.28345, "decode.acc_seg": 71.29365, "aux.loss_seg": 0.20531, "aux.acc_seg": 65.39106, "loss": 0.48876, "time": 0.40292} -{"mode": "train", "epoch": 94, "iter": 59250, "lr": 4e-05, "memory": 22018, "data_time": 0.01037, "decode.loss_seg": 0.27525, "decode.acc_seg": 72.73089, "aux.loss_seg": 0.20136, "aux.acc_seg": 66.70377, "loss": 0.47661, "time": 0.40214} -{"mode": "train", "epoch": 94, "iter": 59300, "lr": 4e-05, "memory": 22018, "data_time": 0.01007, "decode.loss_seg": 0.28486, "decode.acc_seg": 71.50746, "aux.loss_seg": 0.2059, "aux.acc_seg": 65.52474, "loss": 0.49077, "time": 0.40168} -{"mode": "train", "epoch": 95, "iter": 59350, "lr": 4e-05, "memory": 22018, "data_time": 0.17564, "decode.loss_seg": 0.26702, "decode.acc_seg": 71.89418, "aux.loss_seg": 0.19777, "aux.acc_seg": 65.83859, "loss": 0.4648, "time": 0.5677} -{"mode": "train", "epoch": 95, "iter": 59400, "lr": 4e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.27144, "decode.acc_seg": 72.30681, "aux.loss_seg": 0.20175, "aux.acc_seg": 65.94291, "loss": 0.4732, "time": 0.40203} -{"mode": "train", "epoch": 95, "iter": 59450, "lr": 4e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.26201, "decode.acc_seg": 73.49104, "aux.loss_seg": 0.19696, "aux.acc_seg": 67.15623, "loss": 0.45896, "time": 0.40201} -{"mode": "train", "epoch": 95, "iter": 59500, "lr": 4e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.27174, "decode.acc_seg": 72.22918, "aux.loss_seg": 0.20121, "aux.acc_seg": 66.10667, "loss": 0.47295, "time": 0.40146} -{"mode": "train", "epoch": 95, "iter": 59550, "lr": 4e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.26737, "decode.acc_seg": 72.12858, "aux.loss_seg": 0.19492, "aux.acc_seg": 66.44836, "loss": 0.46228, "time": 0.40272} -{"mode": "train", "epoch": 95, "iter": 59600, "lr": 4e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.27005, "decode.acc_seg": 71.49098, "aux.loss_seg": 0.19843, "aux.acc_seg": 65.71536, "loss": 0.46848, "time": 0.40299} -{"mode": "train", "epoch": 95, "iter": 59650, "lr": 4e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.27759, "decode.acc_seg": 72.1244, "aux.loss_seg": 0.19988, "aux.acc_seg": 66.31184, "loss": 0.47747, "time": 0.40265} -{"mode": "train", "epoch": 95, "iter": 59700, "lr": 4e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.27713, "decode.acc_seg": 71.80236, "aux.loss_seg": 0.20135, "aux.acc_seg": 65.74628, "loss": 0.47848, "time": 0.40177} -{"mode": "train", "epoch": 95, "iter": 59750, "lr": 4e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.2718, "decode.acc_seg": 70.88557, "aux.loss_seg": 0.20474, "aux.acc_seg": 64.43795, "loss": 0.47654, "time": 0.40187} -{"mode": "train", "epoch": 95, "iter": 59800, "lr": 4e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.27102, "decode.acc_seg": 71.51707, "aux.loss_seg": 0.20108, "aux.acc_seg": 65.48187, "loss": 0.4721, "time": 0.40229} -{"mode": "train", "epoch": 95, "iter": 59850, "lr": 4e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.2687, "decode.acc_seg": 72.11241, "aux.loss_seg": 0.19973, "aux.acc_seg": 66.00785, "loss": 0.46844, "time": 0.4018} -{"mode": "train", "epoch": 95, "iter": 59900, "lr": 4e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.27197, "decode.acc_seg": 72.01751, "aux.loss_seg": 0.20014, "aux.acc_seg": 65.96332, "loss": 0.47212, "time": 0.40173} -{"mode": "train", "epoch": 96, "iter": 59950, "lr": 4e-05, "memory": 22018, "data_time": 0.18088, "decode.loss_seg": 0.27581, "decode.acc_seg": 71.70612, "aux.loss_seg": 0.2069, "aux.acc_seg": 65.17236, "loss": 0.48271, "time": 0.57434} -{"mode": "train", "epoch": 96, "iter": 60000, "lr": 4e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.26842, "decode.acc_seg": 72.63562, "aux.loss_seg": 0.19949, "aux.acc_seg": 66.54903, "loss": 0.46791, "time": 0.40154} -{"mode": "train", "epoch": 96, "iter": 60050, "lr": 4e-05, "memory": 22018, "data_time": 0.01051, "decode.loss_seg": 0.26467, "decode.acc_seg": 71.50452, "aux.loss_seg": 0.20461, "aux.acc_seg": 65.03017, "loss": 0.46928, "time": 0.40172} -{"mode": "train", "epoch": 96, "iter": 60100, "lr": 4e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.25592, "decode.acc_seg": 73.04952, "aux.loss_seg": 0.19341, "aux.acc_seg": 66.77199, "loss": 0.44933, "time": 0.40134} -{"mode": "train", "epoch": 96, "iter": 60150, "lr": 4e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.98294, "aux.loss_seg": 0.20019, "aux.acc_seg": 65.79259, "loss": 0.4662, "time": 0.40157} -{"mode": "train", "epoch": 96, "iter": 60200, "lr": 4e-05, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.27293, "decode.acc_seg": 71.24674, "aux.loss_seg": 0.19833, "aux.acc_seg": 65.47482, "loss": 0.47127, "time": 0.40155} -{"mode": "train", "epoch": 96, "iter": 60250, "lr": 4e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.26362, "decode.acc_seg": 71.20338, "aux.loss_seg": 0.19618, "aux.acc_seg": 65.33843, "loss": 0.4598, "time": 0.40117} -{"mode": "train", "epoch": 96, "iter": 60300, "lr": 4e-05, "memory": 22018, "data_time": 0.01042, "decode.loss_seg": 0.27388, "decode.acc_seg": 71.43418, "aux.loss_seg": 0.20027, "aux.acc_seg": 65.44308, "loss": 0.47414, "time": 0.4014} -{"mode": "train", "epoch": 96, "iter": 60350, "lr": 4e-05, "memory": 22018, "data_time": 0.01013, "decode.loss_seg": 0.2783, "decode.acc_seg": 72.28446, "aux.loss_seg": 0.20792, "aux.acc_seg": 65.88227, "loss": 0.48622, "time": 0.40212} -{"mode": "train", "epoch": 96, "iter": 60400, "lr": 4e-05, "memory": 22018, "data_time": 0.01027, "decode.loss_seg": 0.2731, "decode.acc_seg": 71.95273, "aux.loss_seg": 0.19962, "aux.acc_seg": 65.89379, "loss": 0.47272, "time": 0.40126} -{"mode": "train", "epoch": 96, "iter": 60450, "lr": 4e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.27631, "decode.acc_seg": 72.89337, "aux.loss_seg": 0.20143, "aux.acc_seg": 66.82714, "loss": 0.47774, "time": 0.40188} -{"mode": "train", "epoch": 96, "iter": 60500, "lr": 4e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.27524, "decode.acc_seg": 71.76948, "aux.loss_seg": 0.20316, "aux.acc_seg": 65.70905, "loss": 0.4784, "time": 0.40203} -{"mode": "train", "epoch": 96, "iter": 60550, "lr": 4e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.26566, "decode.acc_seg": 72.34388, "aux.loss_seg": 0.2012, "aux.acc_seg": 65.89925, "loss": 0.46687, "time": 0.40213} -{"mode": "train", "epoch": 97, "iter": 60600, "lr": 4e-05, "memory": 22018, "data_time": 0.17043, "decode.loss_seg": 0.28016, "decode.acc_seg": 71.95187, "aux.loss_seg": 0.20788, "aux.acc_seg": 65.60642, "loss": 0.48804, "time": 0.56376} -{"mode": "train", "epoch": 97, "iter": 60650, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.25753, "decode.acc_seg": 73.31996, "aux.loss_seg": 0.195, "aux.acc_seg": 67.15766, "loss": 0.45253, "time": 0.40114} -{"mode": "train", "epoch": 97, "iter": 60700, "lr": 4e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.26676, "decode.acc_seg": 71.89797, "aux.loss_seg": 0.19381, "aux.acc_seg": 66.25292, "loss": 0.46057, "time": 0.40145} -{"mode": "train", "epoch": 97, "iter": 60750, "lr": 4e-05, "memory": 22018, "data_time": 0.0102, "decode.loss_seg": 0.26049, "decode.acc_seg": 71.56196, "aux.loss_seg": 0.19447, "aux.acc_seg": 65.7291, "loss": 0.45495, "time": 0.40188} -{"mode": "train", "epoch": 97, "iter": 60800, "lr": 4e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.26879, "decode.acc_seg": 71.04577, "aux.loss_seg": 0.19911, "aux.acc_seg": 64.89854, "loss": 0.4679, "time": 0.40089} -{"mode": "train", "epoch": 97, "iter": 60850, "lr": 4e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.28762, "decode.acc_seg": 71.35293, "aux.loss_seg": 0.21738, "aux.acc_seg": 64.66203, "loss": 0.50501, "time": 0.40204} -{"mode": "train", "epoch": 97, "iter": 60900, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.2588, "decode.acc_seg": 71.6308, "aux.loss_seg": 0.1972, "aux.acc_seg": 65.38979, "loss": 0.45599, "time": 0.40126} -{"mode": "train", "epoch": 97, "iter": 60950, "lr": 4e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.26408, "decode.acc_seg": 71.59009, "aux.loss_seg": 0.19922, "aux.acc_seg": 65.26083, "loss": 0.4633, "time": 0.40143} -{"mode": "train", "epoch": 97, "iter": 61000, "lr": 4e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.28962, "decode.acc_seg": 73.05703, "aux.loss_seg": 0.21092, "aux.acc_seg": 66.72444, "loss": 0.50054, "time": 0.40144} -{"mode": "train", "epoch": 97, "iter": 61050, "lr": 4e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.27386, "decode.acc_seg": 72.52977, "aux.loss_seg": 0.20449, "aux.acc_seg": 66.19729, "loss": 0.47835, "time": 0.40177} -{"mode": "train", "epoch": 97, "iter": 61100, "lr": 4e-05, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.26566, "decode.acc_seg": 71.90117, "aux.loss_seg": 0.20117, "aux.acc_seg": 65.74287, "loss": 0.46683, "time": 0.40126} -{"mode": "train", "epoch": 97, "iter": 61150, "lr": 4e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.26539, "decode.acc_seg": 72.10509, "aux.loss_seg": 0.1943, "aux.acc_seg": 66.27941, "loss": 0.45969, "time": 0.40218} -{"mode": "train", "epoch": 97, "iter": 61200, "lr": 4e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.27447, "decode.acc_seg": 71.59359, "aux.loss_seg": 0.20164, "aux.acc_seg": 65.29849, "loss": 0.4761, "time": 0.4018} -{"mode": "train", "epoch": 98, "iter": 61250, "lr": 4e-05, "memory": 22018, "data_time": 0.16829, "decode.loss_seg": 0.26664, "decode.acc_seg": 71.80869, "aux.loss_seg": 0.19806, "aux.acc_seg": 65.74104, "loss": 0.4647, "time": 0.56122} -{"mode": "train", "epoch": 98, "iter": 61300, "lr": 4e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.26463, "decode.acc_seg": 72.9116, "aux.loss_seg": 0.19564, "aux.acc_seg": 66.8573, "loss": 0.46028, "time": 0.40226} -{"mode": "train", "epoch": 98, "iter": 61350, "lr": 4e-05, "memory": 22018, "data_time": 0.01068, "decode.loss_seg": 0.26737, "decode.acc_seg": 72.02219, "aux.loss_seg": 0.19217, "aux.acc_seg": 66.51925, "loss": 0.45954, "time": 0.40257} -{"mode": "train", "epoch": 98, "iter": 61400, "lr": 4e-05, "memory": 22018, "data_time": 0.01013, "decode.loss_seg": 0.27535, "decode.acc_seg": 71.79671, "aux.loss_seg": 0.20307, "aux.acc_seg": 65.66706, "loss": 0.47841, "time": 0.40272} -{"mode": "train", "epoch": 98, "iter": 61450, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.26365, "decode.acc_seg": 71.01091, "aux.loss_seg": 0.19882, "aux.acc_seg": 64.99062, "loss": 0.46247, "time": 0.40279} -{"mode": "train", "epoch": 98, "iter": 61500, "lr": 4e-05, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.26566, "decode.acc_seg": 73.03761, "aux.loss_seg": 0.19461, "aux.acc_seg": 67.02244, "loss": 0.46027, "time": 0.40203} -{"mode": "train", "epoch": 98, "iter": 61550, "lr": 4e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.26945, "decode.acc_seg": 71.15846, "aux.loss_seg": 0.19712, "aux.acc_seg": 65.28159, "loss": 0.46657, "time": 0.40315} -{"mode": "train", "epoch": 98, "iter": 61600, "lr": 4e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.27589, "decode.acc_seg": 71.79426, "aux.loss_seg": 0.19971, "aux.acc_seg": 65.91316, "loss": 0.4756, "time": 0.40265} -{"mode": "train", "epoch": 98, "iter": 61650, "lr": 4e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.27179, "decode.acc_seg": 72.27176, "aux.loss_seg": 0.20105, "aux.acc_seg": 66.28169, "loss": 0.47283, "time": 0.40303} -{"mode": "train", "epoch": 98, "iter": 61700, "lr": 4e-05, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.26993, "decode.acc_seg": 72.56364, "aux.loss_seg": 0.20319, "aux.acc_seg": 66.18838, "loss": 0.47312, "time": 0.4025} -{"mode": "train", "epoch": 98, "iter": 61750, "lr": 4e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.26457, "decode.acc_seg": 71.9778, "aux.loss_seg": 0.19954, "aux.acc_seg": 65.77408, "loss": 0.46411, "time": 0.40277} -{"mode": "train", "epoch": 98, "iter": 61800, "lr": 4e-05, "memory": 22018, "data_time": 0.0104, "decode.loss_seg": 0.27565, "decode.acc_seg": 71.26406, "aux.loss_seg": 0.20632, "aux.acc_seg": 65.06712, "loss": 0.48196, "time": 0.40452} -{"mode": "train", "epoch": 99, "iter": 61850, "lr": 4e-05, "memory": 22018, "data_time": 0.17401, "decode.loss_seg": 0.27298, "decode.acc_seg": 71.47107, "aux.loss_seg": 0.20877, "aux.acc_seg": 64.85913, "loss": 0.48175, "time": 0.56773} -{"mode": "train", "epoch": 99, "iter": 61900, "lr": 4e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.26237, "decode.acc_seg": 72.52868, "aux.loss_seg": 0.19459, "aux.acc_seg": 66.67474, "loss": 0.45696, "time": 0.40102} -{"mode": "train", "epoch": 99, "iter": 61950, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.27277, "decode.acc_seg": 72.08745, "aux.loss_seg": 0.2072, "aux.acc_seg": 65.49662, "loss": 0.47998, "time": 0.40066} -{"mode": "train", "epoch": 99, "iter": 62000, "lr": 4e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.25459, "decode.acc_seg": 71.17066, "aux.loss_seg": 0.1947, "aux.acc_seg": 65.04371, "loss": 0.44928, "time": 0.40091} -{"mode": "train", "epoch": 99, "iter": 62050, "lr": 4e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.26327, "decode.acc_seg": 72.8021, "aux.loss_seg": 0.19545, "aux.acc_seg": 66.81716, "loss": 0.45872, "time": 0.40208} -{"mode": "train", "epoch": 99, "iter": 62100, "lr": 4e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.2737, "decode.acc_seg": 72.17661, "aux.loss_seg": 0.20088, "aux.acc_seg": 66.08126, "loss": 0.47458, "time": 0.40054} -{"mode": "train", "epoch": 99, "iter": 62150, "lr": 4e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.26915, "decode.acc_seg": 72.28522, "aux.loss_seg": 0.20118, "aux.acc_seg": 65.80311, "loss": 0.47033, "time": 0.40093} -{"mode": "train", "epoch": 99, "iter": 62200, "lr": 4e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.26299, "decode.acc_seg": 71.99514, "aux.loss_seg": 0.19367, "aux.acc_seg": 66.31031, "loss": 0.45666, "time": 0.40101} -{"mode": "train", "epoch": 99, "iter": 62250, "lr": 4e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.26109, "decode.acc_seg": 70.75972, "aux.loss_seg": 0.2032, "aux.acc_seg": 64.27129, "loss": 0.46429, "time": 0.40093} -{"mode": "train", "epoch": 99, "iter": 62300, "lr": 4e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.26952, "decode.acc_seg": 72.73701, "aux.loss_seg": 0.20053, "aux.acc_seg": 66.60677, "loss": 0.47005, "time": 0.40059} -{"mode": "train", "epoch": 99, "iter": 62350, "lr": 4e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.27494, "decode.acc_seg": 72.16966, "aux.loss_seg": 0.19832, "aux.acc_seg": 66.23914, "loss": 0.47326, "time": 0.40055} -{"mode": "train", "epoch": 99, "iter": 62400, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.2686, "decode.acc_seg": 72.41441, "aux.loss_seg": 0.20626, "aux.acc_seg": 65.92418, "loss": 0.47486, "time": 0.40047} -{"mode": "train", "epoch": 99, "iter": 62450, "lr": 4e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.77867, "aux.loss_seg": 0.19279, "aux.acc_seg": 66.03402, "loss": 0.4588, "time": 0.40163} -{"mode": "train", "epoch": 100, "iter": 62500, "lr": 4e-05, "memory": 22018, "data_time": 0.18142, "decode.loss_seg": 0.26455, "decode.acc_seg": 71.95413, "aux.loss_seg": 0.19658, "aux.acc_seg": 65.96935, "loss": 0.46114, "time": 0.57486} -{"mode": "train", "epoch": 100, "iter": 62550, "lr": 4e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.26659, "decode.acc_seg": 71.34305, "aux.loss_seg": 0.19454, "aux.acc_seg": 65.61749, "loss": 0.46113, "time": 0.40211} -{"mode": "train", "epoch": 100, "iter": 62600, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.27391, "decode.acc_seg": 70.8949, "aux.loss_seg": 0.20276, "aux.acc_seg": 64.8884, "loss": 0.47667, "time": 0.40253} -{"mode": "train", "epoch": 100, "iter": 62650, "lr": 4e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.26291, "decode.acc_seg": 71.48176, "aux.loss_seg": 0.1919, "aux.acc_seg": 65.69397, "loss": 0.45481, "time": 0.40171} -{"mode": "train", "epoch": 100, "iter": 62700, "lr": 4e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.25647, "decode.acc_seg": 71.68258, "aux.loss_seg": 0.19698, "aux.acc_seg": 65.33618, "loss": 0.45345, "time": 0.40253} -{"mode": "train", "epoch": 100, "iter": 62750, "lr": 4e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.25789, "decode.acc_seg": 72.12929, "aux.loss_seg": 0.19589, "aux.acc_seg": 65.91358, "loss": 0.45377, "time": 0.40271} -{"mode": "train", "epoch": 100, "iter": 62800, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.27154, "decode.acc_seg": 71.98295, "aux.loss_seg": 0.20272, "aux.acc_seg": 65.73354, "loss": 0.47426, "time": 0.40245} -{"mode": "train", "epoch": 100, "iter": 62850, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.26113, "decode.acc_seg": 73.65434, "aux.loss_seg": 0.19906, "aux.acc_seg": 67.23712, "loss": 0.46019, "time": 0.4028} -{"mode": "train", "epoch": 100, "iter": 62900, "lr": 4e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.26435, "decode.acc_seg": 72.669, "aux.loss_seg": 0.19518, "aux.acc_seg": 66.94519, "loss": 0.45953, "time": 0.40224} -{"mode": "train", "epoch": 100, "iter": 62950, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.26341, "decode.acc_seg": 72.24798, "aux.loss_seg": 0.19537, "aux.acc_seg": 66.41423, "loss": 0.45878, "time": 0.40132} -{"mode": "train", "epoch": 100, "iter": 63000, "lr": 4e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.27248, "decode.acc_seg": 72.32213, "aux.loss_seg": 0.20959, "aux.acc_seg": 65.81943, "loss": 0.48207, "time": 0.40161} -{"mode": "train", "epoch": 100, "iter": 63050, "lr": 4e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.26487, "decode.acc_seg": 72.01126, "aux.loss_seg": 0.19757, "aux.acc_seg": 66.14836, "loss": 0.46243, "time": 0.40158} -{"mode": "train", "epoch": 100, "iter": 63100, "lr": 4e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.26873, "decode.acc_seg": 71.95757, "aux.loss_seg": 0.19633, "aux.acc_seg": 66.16155, "loss": 0.46506, "time": 0.40122} -{"mode": "train", "epoch": 101, "iter": 63150, "lr": 4e-05, "memory": 22018, "data_time": 0.17822, "decode.loss_seg": 0.26486, "decode.acc_seg": 73.0892, "aux.loss_seg": 0.19737, "aux.acc_seg": 67.00118, "loss": 0.46223, "time": 0.57081} -{"mode": "train", "epoch": 101, "iter": 63200, "lr": 4e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.27005, "decode.acc_seg": 73.12823, "aux.loss_seg": 0.1972, "aux.acc_seg": 67.09212, "loss": 0.46725, "time": 0.40059} -{"mode": "train", "epoch": 101, "iter": 63250, "lr": 4e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.25331, "decode.acc_seg": 72.70396, "aux.loss_seg": 0.19012, "aux.acc_seg": 66.55869, "loss": 0.44343, "time": 0.40096} -{"mode": "train", "epoch": 101, "iter": 63300, "lr": 4e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.26435, "decode.acc_seg": 71.9349, "aux.loss_seg": 0.19973, "aux.acc_seg": 65.5427, "loss": 0.46407, "time": 0.4011} -{"mode": "train", "epoch": 101, "iter": 63350, "lr": 4e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.26074, "decode.acc_seg": 71.97521, "aux.loss_seg": 0.19625, "aux.acc_seg": 65.89943, "loss": 0.45699, "time": 0.40109} -{"mode": "train", "epoch": 101, "iter": 63400, "lr": 4e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.2666, "decode.acc_seg": 72.0754, "aux.loss_seg": 0.20101, "aux.acc_seg": 65.77018, "loss": 0.46762, "time": 0.40062} -{"mode": "train", "epoch": 101, "iter": 63450, "lr": 4e-05, "memory": 22018, "data_time": 0.00798, "decode.loss_seg": 0.25418, "decode.acc_seg": 72.35764, "aux.loss_seg": 0.19651, "aux.acc_seg": 66.08013, "loss": 0.45069, "time": 0.40046} -{"mode": "train", "epoch": 101, "iter": 63500, "lr": 4e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.25502, "decode.acc_seg": 72.67569, "aux.loss_seg": 0.19355, "aux.acc_seg": 66.52288, "loss": 0.44857, "time": 0.40074} -{"mode": "train", "epoch": 101, "iter": 63550, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.26323, "decode.acc_seg": 71.32671, "aux.loss_seg": 0.19601, "aux.acc_seg": 65.29551, "loss": 0.45924, "time": 0.40067} -{"mode": "train", "epoch": 101, "iter": 63600, "lr": 4e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.25663, "decode.acc_seg": 72.58276, "aux.loss_seg": 0.18983, "aux.acc_seg": 66.93762, "loss": 0.44646, "time": 0.40193} -{"mode": "train", "epoch": 101, "iter": 63650, "lr": 4e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.25502, "decode.acc_seg": 71.26187, "aux.loss_seg": 0.19373, "aux.acc_seg": 65.04322, "loss": 0.44874, "time": 0.40187} -{"mode": "train", "epoch": 101, "iter": 63700, "lr": 4e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.27389, "decode.acc_seg": 71.73934, "aux.loss_seg": 0.20491, "aux.acc_seg": 65.41397, "loss": 0.4788, "time": 0.40057} -{"mode": "train", "epoch": 102, "iter": 63750, "lr": 4e-05, "memory": 22018, "data_time": 0.17425, "decode.loss_seg": 0.25704, "decode.acc_seg": 71.58454, "aux.loss_seg": 0.19419, "aux.acc_seg": 65.66899, "loss": 0.45123, "time": 0.56702} -{"mode": "train", "epoch": 102, "iter": 63800, "lr": 4e-05, "memory": 22018, "data_time": 0.00639, "decode.loss_seg": 0.25499, "decode.acc_seg": 73.03337, "aux.loss_seg": 0.19188, "aux.acc_seg": 67.14956, "loss": 0.44687, "time": 0.40135} -{"mode": "train", "epoch": 102, "iter": 63850, "lr": 4e-05, "memory": 22018, "data_time": 0.00638, "decode.loss_seg": 0.26527, "decode.acc_seg": 72.26522, "aux.loss_seg": 0.19963, "aux.acc_seg": 66.05602, "loss": 0.46491, "time": 0.40133} -{"mode": "train", "epoch": 102, "iter": 63900, "lr": 4e-05, "memory": 22018, "data_time": 0.00638, "decode.loss_seg": 0.2604, "decode.acc_seg": 71.64618, "aux.loss_seg": 0.19548, "aux.acc_seg": 65.55432, "loss": 0.45589, "time": 0.40027} -{"mode": "train", "epoch": 102, "iter": 63950, "lr": 4e-05, "memory": 22018, "data_time": 0.00665, "decode.loss_seg": 0.26732, "decode.acc_seg": 71.674, "aux.loss_seg": 0.19629, "aux.acc_seg": 65.61271, "loss": 0.46361, "time": 0.40176} -{"mode": "val", "epoch": 102, "iter": 64000, "lr": 4e-05, "mIoU": 0.4522, "mAcc": 0.5743, "aAcc": 0.8126, "IoU.wall": 0.7478, "IoU.building": 0.815, "IoU.sky": 0.9379, "IoU.floor": 0.7973, "IoU.tree": 0.7247, "IoU.ceiling": 0.8281, "IoU.road": 0.8162, "IoU.bed ": 0.8561, "IoU.windowpane": 0.5849, "IoU.grass": 0.6579, "IoU.cabinet": 0.5603, "IoU.sidewalk": 0.6132, "IoU.person": 0.7604, "IoU.earth": 0.3554, "IoU.door": 0.4318, "IoU.table": 0.554, "IoU.mountain": 0.5867, "IoU.plant": 0.5096, "IoU.curtain": 0.7005, "IoU.chair": 0.5159, "IoU.car": 0.8202, "IoU.water": 0.5231, "IoU.painting": 0.68, "IoU.sofa": 0.5838, "IoU.shelf": 0.3736, "IoU.house": 0.45, "IoU.sea": 0.516, "IoU.mirror": 0.5611, "IoU.rug": 0.6016, "IoU.field": 0.3404, "IoU.armchair": 0.3535, "IoU.seat": 0.5711, "IoU.fence": 0.3154, "IoU.desk": 0.439, "IoU.rock": 0.4409, "IoU.wardrobe": 0.4658, "IoU.lamp": 0.5613, "IoU.bathtub": 0.7691, "IoU.railing": 0.3391, "IoU.cushion": 0.4808, "IoU.base": 0.2915, "IoU.box": 0.2229, "IoU.column": 0.427, "IoU.signboard": 0.3298, "IoU.chest of drawers": 0.3596, "IoU.counter": 0.2906, "IoU.sand": 0.335, "IoU.sink": 0.6554, "IoU.skyscraper": 0.6692, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6433, "IoU.grandstand": 0.3999, "IoU.path": 0.1813, "IoU.stairs": 0.2597, "IoU.runway": 0.633, "IoU.case": 0.4007, "IoU.pool table": 0.894, "IoU.pillow": 0.5197, "IoU.screen door": 0.5778, "IoU.stairway": 0.3657, "IoU.river": 0.0755, "IoU.bridge": 0.6051, "IoU.bookcase": 0.3761, "IoU.blind": NaN, "IoU.coffee table": 0.5572, "IoU.toilet": 0.8133, "IoU.flower": 0.3673, "IoU.book": 0.4167, "IoU.hill": 0.1034, "IoU.bench": 0.355, "IoU.countertop": 0.5085, "IoU.stove": 0.6747, "IoU.palm": 0.4001, "IoU.kitchen island": 0.3297, "IoU.computer": 0.5713, "IoU.swivel chair": 0.4206, "IoU.boat": 0.621, "IoU.bar": 0.4174, "IoU.arcade machine": 0.576, "IoU.hovel": 0.1764, "IoU.bus": 0.8163, "IoU.towel": 0.582, "IoU.light": 0.5227, "IoU.truck": 0.337, "IoU.tower": 0.2713, "IoU.chandelier": 0.6251, "IoU.awning": 0.3012, "IoU.streetlight": 0.1981, "IoU.booth": 0.5615, "IoU.television receiver": NaN, "IoU.airplane": 0.5136, "IoU.dirt track": 0.2112, "IoU.apparel": 0.3503, "IoU.pole": 0.1251, "IoU.land": 0.0001, "IoU.bannister": 0.1049, "IoU.escalator": 0.2376, "IoU.ottoman": 0.3665, "IoU.bottle": NaN, "IoU.buffet": 0.3753, "IoU.poster": 0.2667, "IoU.stage": 0.1645, "IoU.van": 0.3866, "IoU.ship": 0.7021, "IoU.fountain": 0.1959, "IoU.conveyer belt": 0.6056, "IoU.canopy": 0.196, "IoU.washer": 0.7035, "IoU.plaything": 0.1815, "IoU.swimming pool": 0.7359, "IoU.stool": 0.371, "IoU.barrel": 0.3408, "IoU.basket": 0.2418, "IoU.waterfall": 0.4441, "IoU.tent": 0.8926, "IoU.bag": 0.118, "IoU.minibike": 0.6112, "IoU.cradle": NaN, "IoU.oven": 0.3939, "IoU.ball": 0.4485, "IoU.food": 0.5056, "IoU.step": 0.1112, "IoU.tank": 0.4693, "IoU.trade name": 0.2025, "IoU.microwave": 0.6296, "IoU.pot": 0.4673, "IoU.animal": NaN, "IoU.bicycle": 0.514, "IoU.lake": 0.5462, "IoU.dishwasher": 0.4191, "IoU.screen": 0.6502, "IoU.blanket": 0.0678, "IoU.sculpture": 0.5481, "IoU.hood": 0.5462, "IoU.sconce": 0.3891, "IoU.vase": 0.2933, "IoU.traffic light": 0.2348, "IoU.tray": 0.0649, "IoU.ashcan": 0.3292, "IoU.fan": 0.4998, "IoU.pier": 0.5401, "IoU.crt screen": 0.0613, "IoU.plate": 0.5064, "IoU.monitor": 0.0601, "IoU.bulletin board": 0.3952, "IoU.shower": 0.0019, "IoU.radiator": 0.471, "IoU.glass": 0.1146, "IoU.clock": 0.3318, "IoU.flag": 0.2851, "Acc.wall": 0.8621, "Acc.building": 0.9067, "Acc.sky": 0.9714, "Acc.floor": 0.899, "Acc.tree": 0.8633, "Acc.ceiling": 0.9303, "Acc.road": 0.8827, "Acc.bed ": 0.9534, "Acc.windowpane": 0.7727, "Acc.grass": 0.8225, "Acc.cabinet": 0.6685, "Acc.sidewalk": 0.807, "Acc.person": 0.898, "Acc.earth": 0.4716, "Acc.door": 0.6007, "Acc.table": 0.6999, "Acc.mountain": 0.7706, "Acc.plant": 0.6388, "Acc.curtain": 0.8116, "Acc.chair": 0.6887, "Acc.car": 0.9044, "Acc.water": 0.6947, "Acc.painting": 0.8562, "Acc.sofa": 0.7799, "Acc.shelf": 0.5317, "Acc.house": 0.6607, "Acc.sea": 0.6692, "Acc.mirror": 0.6549, "Acc.rug": 0.6845, "Acc.field": 0.5465, "Acc.armchair": 0.5153, "Acc.seat": 0.7698, "Acc.fence": 0.4553, "Acc.desk": 0.66, "Acc.rock": 0.6597, "Acc.wardrobe": 0.6411, "Acc.lamp": 0.6935, "Acc.bathtub": 0.8351, "Acc.railing": 0.4858, "Acc.cushion": 0.6085, "Acc.base": 0.401, "Acc.box": 0.3229, "Acc.column": 0.5336, "Acc.signboard": 0.4233, "Acc.chest of drawers": 0.7149, "Acc.counter": 0.3317, "Acc.sand": 0.515, "Acc.sink": 0.7717, "Acc.skyscraper": 0.8749, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7915, "Acc.grandstand": 0.6955, "Acc.path": 0.2741, "Acc.stairs": 0.3387, "Acc.runway": 0.8715, "Acc.case": 0.5201, "Acc.pool table": 0.9564, "Acc.pillow": 0.6205, "Acc.screen door": 0.7916, "Acc.stairway": 0.4696, "Acc.river": 0.1624, "Acc.bridge": 0.7514, "Acc.bookcase": 0.4596, "Acc.blind": NaN, "Acc.coffee table": 0.7599, "Acc.toilet": 0.876, "Acc.flower": 0.4944, "Acc.book": 0.6191, "Acc.hill": 0.119, "Acc.bench": 0.4164, "Acc.countertop": 0.6792, "Acc.stove": 0.7789, "Acc.palm": 0.6933, "Acc.kitchen island": 0.6714, "Acc.computer": 0.7396, "Acc.swivel chair": 0.5714, "Acc.boat": 0.7482, "Acc.bar": 0.6031, "Acc.arcade machine": 0.6119, "Acc.hovel": 0.1993, "Acc.bus": 0.8985, "Acc.towel": 0.6852, "Acc.light": 0.6007, "Acc.truck": 0.4515, "Acc.tower": 0.3399, "Acc.chandelier": 0.7654, "Acc.awning": 0.3532, "Acc.streetlight": 0.2745, "Acc.booth": 0.7536, "Acc.television receiver": NaN, "Acc.airplane": 0.5946, "Acc.dirt track": 0.3206, "Acc.apparel": 0.4572, "Acc.pole": 0.1735, "Acc.land": 0.0001, "Acc.bannister": 0.1519, "Acc.escalator": 0.2861, "Acc.ottoman": 0.532, "Acc.bottle": NaN, "Acc.buffet": 0.4484, "Acc.poster": 0.4504, "Acc.stage": 0.2444, "Acc.van": 0.5193, "Acc.ship": 0.9108, "Acc.fountain": 0.2075, "Acc.conveyer belt": 0.9111, "Acc.canopy": 0.2344, "Acc.washer": 0.7456, "Acc.plaything": 0.2517, "Acc.swimming pool": 0.8129, "Acc.stool": 0.4785, "Acc.barrel": 0.6069, "Acc.basket": 0.3534, "Acc.waterfall": 0.5334, "Acc.tent": 0.9811, "Acc.bag": 0.135, "Acc.minibike": 0.8224, "Acc.cradle": NaN, "Acc.oven": 0.5173, "Acc.ball": 0.5403, "Acc.food": 0.5916, "Acc.step": 0.1682, "Acc.tank": 0.4886, "Acc.trade name": 0.2359, "Acc.microwave": 0.7049, "Acc.pot": 0.5483, "Acc.animal": NaN, "Acc.bicycle": 0.7131, "Acc.lake": 0.6306, "Acc.dishwasher": 0.5529, "Acc.screen": 0.8595, "Acc.blanket": 0.0746, "Acc.sculpture": 0.642, "Acc.hood": 0.6115, "Acc.sconce": 0.4774, "Acc.vase": 0.4582, "Acc.traffic light": 0.3858, "Acc.tray": 0.1182, "Acc.ashcan": 0.4152, "Acc.fan": 0.5936, "Acc.pier": 0.7855, "Acc.crt screen": 0.1652, "Acc.plate": 0.6837, "Acc.monitor": 0.072, "Acc.bulletin board": 0.5548, "Acc.shower": 0.0022, "Acc.radiator": 0.5454, "Acc.glass": 0.1312, "Acc.clock": 0.3941, "Acc.flag": 0.3456} -{"mode": "train", "epoch": 102, "iter": 64050, "lr": 4e-05, "memory": 22018, "data_time": 1.70844, "decode.loss_seg": 0.26204, "decode.acc_seg": 72.76004, "aux.loss_seg": 0.19767, "aux.acc_seg": 66.5578, "loss": 0.4597, "time": 2.10427} -{"mode": "train", "epoch": 102, "iter": 64100, "lr": 4e-05, "memory": 22018, "data_time": 0.00648, "decode.loss_seg": 0.27139, "decode.acc_seg": 73.19324, "aux.loss_seg": 0.1997, "aux.acc_seg": 67.13798, "loss": 0.47109, "time": 0.40046} -{"mode": "train", "epoch": 102, "iter": 64150, "lr": 4e-05, "memory": 22018, "data_time": 0.00637, "decode.loss_seg": 0.26549, "decode.acc_seg": 72.27767, "aux.loss_seg": 0.20085, "aux.acc_seg": 66.0921, "loss": 0.46634, "time": 0.4003} -{"mode": "train", "epoch": 102, "iter": 64200, "lr": 4e-05, "memory": 22018, "data_time": 0.00618, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.98092, "aux.loss_seg": 0.19498, "aux.acc_seg": 66.25362, "loss": 0.46099, "time": 0.40005} -{"mode": "train", "epoch": 102, "iter": 64250, "lr": 4e-05, "memory": 22018, "data_time": 0.00624, "decode.loss_seg": 0.25655, "decode.acc_seg": 71.81928, "aux.loss_seg": 0.19168, "aux.acc_seg": 65.76558, "loss": 0.44823, "time": 0.39994} -{"mode": "train", "epoch": 102, "iter": 64300, "lr": 4e-05, "memory": 22018, "data_time": 0.00631, "decode.loss_seg": 0.2614, "decode.acc_seg": 72.14153, "aux.loss_seg": 0.19586, "aux.acc_seg": 66.04879, "loss": 0.45726, "time": 0.40026} -{"mode": "train", "epoch": 102, "iter": 64350, "lr": 4e-05, "memory": 22018, "data_time": 0.00653, "decode.loss_seg": 0.26263, "decode.acc_seg": 72.19751, "aux.loss_seg": 0.19686, "aux.acc_seg": 65.91645, "loss": 0.45948, "time": 0.39988} -{"mode": "train", "epoch": 103, "iter": 64400, "lr": 4e-05, "memory": 22018, "data_time": 0.17301, "decode.loss_seg": 0.2575, "decode.acc_seg": 72.77352, "aux.loss_seg": 0.19469, "aux.acc_seg": 66.79904, "loss": 0.45219, "time": 0.56662} -{"mode": "train", "epoch": 103, "iter": 64450, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.27097, "decode.acc_seg": 72.5155, "aux.loss_seg": 0.19864, "aux.acc_seg": 66.56437, "loss": 0.46961, "time": 0.40286} -{"mode": "train", "epoch": 103, "iter": 64500, "lr": 4e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.26536, "decode.acc_seg": 72.29546, "aux.loss_seg": 0.19793, "aux.acc_seg": 66.21417, "loss": 0.46329, "time": 0.4029} -{"mode": "train", "epoch": 103, "iter": 64550, "lr": 4e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.24942, "decode.acc_seg": 72.60532, "aux.loss_seg": 0.18727, "aux.acc_seg": 66.82547, "loss": 0.43669, "time": 0.40211} -{"mode": "train", "epoch": 103, "iter": 64600, "lr": 4e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.26278, "decode.acc_seg": 72.86529, "aux.loss_seg": 0.19688, "aux.acc_seg": 66.5443, "loss": 0.45966, "time": 0.40312} -{"mode": "train", "epoch": 103, "iter": 64650, "lr": 4e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.26472, "decode.acc_seg": 71.34892, "aux.loss_seg": 0.19423, "aux.acc_seg": 65.3706, "loss": 0.45894, "time": 0.40318} -{"mode": "train", "epoch": 103, "iter": 64700, "lr": 4e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.26126, "decode.acc_seg": 73.04373, "aux.loss_seg": 0.19706, "aux.acc_seg": 66.91319, "loss": 0.45832, "time": 0.40286} -{"mode": "train", "epoch": 103, "iter": 64750, "lr": 4e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.25426, "decode.acc_seg": 72.22366, "aux.loss_seg": 0.18896, "aux.acc_seg": 66.46712, "loss": 0.44322, "time": 0.40247} -{"mode": "train", "epoch": 103, "iter": 64800, "lr": 4e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.26039, "decode.acc_seg": 72.47717, "aux.loss_seg": 0.19356, "aux.acc_seg": 66.42077, "loss": 0.45395, "time": 0.40252} -{"mode": "train", "epoch": 103, "iter": 64850, "lr": 4e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.26461, "decode.acc_seg": 72.19432, "aux.loss_seg": 0.20223, "aux.acc_seg": 65.86433, "loss": 0.46683, "time": 0.40192} -{"mode": "train", "epoch": 103, "iter": 64900, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.27378, "decode.acc_seg": 71.79643, "aux.loss_seg": 0.20198, "aux.acc_seg": 65.8659, "loss": 0.47577, "time": 0.40205} -{"mode": "train", "epoch": 103, "iter": 64950, "lr": 4e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.27038, "decode.acc_seg": 73.65592, "aux.loss_seg": 0.19825, "aux.acc_seg": 67.53711, "loss": 0.46863, "time": 0.40162} -{"mode": "train", "epoch": 104, "iter": 65000, "lr": 4e-05, "memory": 22018, "data_time": 0.17374, "decode.loss_seg": 0.26022, "decode.acc_seg": 72.10018, "aux.loss_seg": 0.19362, "aux.acc_seg": 66.20153, "loss": 0.45384, "time": 0.56683} -{"mode": "train", "epoch": 104, "iter": 65050, "lr": 4e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.25248, "decode.acc_seg": 72.66836, "aux.loss_seg": 0.19206, "aux.acc_seg": 66.40354, "loss": 0.44455, "time": 0.40046} -{"mode": "train", "epoch": 104, "iter": 65100, "lr": 4e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.24573, "decode.acc_seg": 71.61878, "aux.loss_seg": 0.18874, "aux.acc_seg": 65.55208, "loss": 0.43447, "time": 0.40043} -{"mode": "train", "epoch": 104, "iter": 65150, "lr": 4e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.25221, "decode.acc_seg": 72.25198, "aux.loss_seg": 0.18702, "aux.acc_seg": 66.42881, "loss": 0.43923, "time": 0.40157} -{"mode": "train", "epoch": 104, "iter": 65200, "lr": 4e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.27067, "decode.acc_seg": 72.30693, "aux.loss_seg": 0.1946, "aux.acc_seg": 66.59578, "loss": 0.46527, "time": 0.40167} -{"mode": "train", "epoch": 104, "iter": 65250, "lr": 4e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.26845, "decode.acc_seg": 72.67186, "aux.loss_seg": 0.20314, "aux.acc_seg": 66.14403, "loss": 0.47159, "time": 0.40193} -{"mode": "train", "epoch": 104, "iter": 65300, "lr": 4e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.26499, "decode.acc_seg": 72.60098, "aux.loss_seg": 0.19777, "aux.acc_seg": 66.30851, "loss": 0.46275, "time": 0.40132} -{"mode": "train", "epoch": 104, "iter": 65350, "lr": 4e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.25196, "decode.acc_seg": 72.2905, "aux.loss_seg": 0.19148, "aux.acc_seg": 66.37506, "loss": 0.44344, "time": 0.40144} -{"mode": "train", "epoch": 104, "iter": 65400, "lr": 4e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.25539, "decode.acc_seg": 72.98445, "aux.loss_seg": 0.19748, "aux.acc_seg": 66.54166, "loss": 0.45287, "time": 0.40223} -{"mode": "train", "epoch": 104, "iter": 65450, "lr": 4e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.26066, "decode.acc_seg": 73.19992, "aux.loss_seg": 0.1926, "aux.acc_seg": 67.29537, "loss": 0.45326, "time": 0.40239} -{"mode": "train", "epoch": 104, "iter": 65500, "lr": 4e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.26313, "decode.acc_seg": 72.26163, "aux.loss_seg": 0.19323, "aux.acc_seg": 66.42763, "loss": 0.45636, "time": 0.40076} -{"mode": "train", "epoch": 104, "iter": 65550, "lr": 4e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.25653, "decode.acc_seg": 73.49185, "aux.loss_seg": 0.19479, "aux.acc_seg": 67.27603, "loss": 0.45132, "time": 0.40077} -{"mode": "train", "epoch": 104, "iter": 65600, "lr": 4e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.25964, "decode.acc_seg": 73.23067, "aux.loss_seg": 0.19646, "aux.acc_seg": 67.04166, "loss": 0.4561, "time": 0.40187} -{"mode": "train", "epoch": 105, "iter": 65650, "lr": 4e-05, "memory": 22018, "data_time": 0.1753, "decode.loss_seg": 0.26426, "decode.acc_seg": 72.9757, "aux.loss_seg": 0.19579, "aux.acc_seg": 67.1258, "loss": 0.46005, "time": 0.56798} -{"mode": "train", "epoch": 105, "iter": 65700, "lr": 4e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.25475, "decode.acc_seg": 73.00286, "aux.loss_seg": 0.18981, "aux.acc_seg": 67.08691, "loss": 0.44456, "time": 0.40064} -{"mode": "train", "epoch": 105, "iter": 65750, "lr": 4e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.25166, "decode.acc_seg": 71.60791, "aux.loss_seg": 0.19258, "aux.acc_seg": 65.37974, "loss": 0.44424, "time": 0.40103} -{"mode": "train", "epoch": 105, "iter": 65800, "lr": 4e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.24908, "decode.acc_seg": 72.12058, "aux.loss_seg": 0.18717, "aux.acc_seg": 66.2841, "loss": 0.43625, "time": 0.40115} -{"mode": "train", "epoch": 105, "iter": 65850, "lr": 4e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.24913, "decode.acc_seg": 71.6604, "aux.loss_seg": 0.19121, "aux.acc_seg": 65.67443, "loss": 0.44034, "time": 0.40004} -{"mode": "train", "epoch": 105, "iter": 65900, "lr": 4e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.25168, "decode.acc_seg": 72.67449, "aux.loss_seg": 0.19176, "aux.acc_seg": 66.40321, "loss": 0.44344, "time": 0.39974} -{"mode": "train", "epoch": 105, "iter": 65950, "lr": 4e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.26052, "decode.acc_seg": 71.76425, "aux.loss_seg": 0.19717, "aux.acc_seg": 65.52102, "loss": 0.45769, "time": 0.40024} -{"mode": "train", "epoch": 105, "iter": 66000, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.26997, "decode.acc_seg": 72.71096, "aux.loss_seg": 0.19845, "aux.acc_seg": 66.72667, "loss": 0.46841, "time": 0.40156} -{"mode": "train", "epoch": 105, "iter": 66050, "lr": 4e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.25653, "decode.acc_seg": 73.29774, "aux.loss_seg": 0.19404, "aux.acc_seg": 67.30952, "loss": 0.45057, "time": 0.40186} -{"mode": "train", "epoch": 105, "iter": 66100, "lr": 4e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.27058, "decode.acc_seg": 71.70784, "aux.loss_seg": 0.20041, "aux.acc_seg": 65.62753, "loss": 0.47099, "time": 0.40114} -{"mode": "train", "epoch": 105, "iter": 66150, "lr": 4e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.25375, "decode.acc_seg": 71.61142, "aux.loss_seg": 0.19147, "aux.acc_seg": 65.57516, "loss": 0.44521, "time": 0.40038} -{"mode": "train", "epoch": 105, "iter": 66200, "lr": 4e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.26961, "decode.acc_seg": 72.57576, "aux.loss_seg": 0.19904, "aux.acc_seg": 66.66997, "loss": 0.46865, "time": 0.40078} -{"mode": "train", "epoch": 105, "iter": 66250, "lr": 4e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.25882, "decode.acc_seg": 72.88985, "aux.loss_seg": 0.19658, "aux.acc_seg": 66.71015, "loss": 0.4554, "time": 0.4017} -{"mode": "train", "epoch": 106, "iter": 66300, "lr": 4e-05, "memory": 22018, "data_time": 0.17383, "decode.loss_seg": 0.25741, "decode.acc_seg": 73.32071, "aux.loss_seg": 0.19451, "aux.acc_seg": 67.46447, "loss": 0.45192, "time": 0.56672} -{"mode": "train", "epoch": 106, "iter": 66350, "lr": 4e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.24665, "decode.acc_seg": 71.23463, "aux.loss_seg": 0.18524, "aux.acc_seg": 65.52246, "loss": 0.4319, "time": 0.40168} -{"mode": "train", "epoch": 106, "iter": 66400, "lr": 4e-05, "memory": 22018, "data_time": 0.00947, "decode.loss_seg": 0.25194, "decode.acc_seg": 72.08758, "aux.loss_seg": 0.19135, "aux.acc_seg": 65.95321, "loss": 0.44329, "time": 0.40037} -{"mode": "train", "epoch": 106, "iter": 66450, "lr": 4e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.25562, "decode.acc_seg": 72.3005, "aux.loss_seg": 0.18697, "aux.acc_seg": 66.81718, "loss": 0.44259, "time": 0.40054} -{"mode": "train", "epoch": 106, "iter": 66500, "lr": 4e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.26005, "decode.acc_seg": 72.72116, "aux.loss_seg": 0.19536, "aux.acc_seg": 66.67731, "loss": 0.45541, "time": 0.40048} -{"mode": "train", "epoch": 106, "iter": 66550, "lr": 4e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.25491, "decode.acc_seg": 71.68643, "aux.loss_seg": 0.19669, "aux.acc_seg": 65.38396, "loss": 0.45159, "time": 0.40151} -{"mode": "train", "epoch": 106, "iter": 66600, "lr": 4e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.25421, "decode.acc_seg": 71.65967, "aux.loss_seg": 0.19844, "aux.acc_seg": 65.16992, "loss": 0.45265, "time": 0.40099} -{"mode": "train", "epoch": 106, "iter": 66650, "lr": 4e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.26114, "decode.acc_seg": 71.59938, "aux.loss_seg": 0.19512, "aux.acc_seg": 65.48961, "loss": 0.45625, "time": 0.40116} -{"mode": "train", "epoch": 106, "iter": 66700, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.25971, "decode.acc_seg": 71.60835, "aux.loss_seg": 0.19212, "aux.acc_seg": 65.51291, "loss": 0.45183, "time": 0.40108} -{"mode": "train", "epoch": 106, "iter": 66750, "lr": 3e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.25149, "decode.acc_seg": 73.3174, "aux.loss_seg": 0.18716, "aux.acc_seg": 67.4666, "loss": 0.43865, "time": 0.39978} -{"mode": "train", "epoch": 106, "iter": 66800, "lr": 3e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.25891, "decode.acc_seg": 73.12139, "aux.loss_seg": 0.20147, "aux.acc_seg": 66.47985, "loss": 0.46039, "time": 0.40063} -{"mode": "train", "epoch": 106, "iter": 66850, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.26253, "decode.acc_seg": 72.21598, "aux.loss_seg": 0.19995, "aux.acc_seg": 65.8932, "loss": 0.46248, "time": 0.40123} -{"mode": "train", "epoch": 107, "iter": 66900, "lr": 3e-05, "memory": 22018, "data_time": 0.17884, "decode.loss_seg": 0.25481, "decode.acc_seg": 73.85279, "aux.loss_seg": 0.19277, "aux.acc_seg": 67.6738, "loss": 0.44757, "time": 0.57056} -{"mode": "train", "epoch": 107, "iter": 66950, "lr": 3e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.25524, "decode.acc_seg": 71.33822, "aux.loss_seg": 0.1884, "aux.acc_seg": 65.53917, "loss": 0.44364, "time": 0.40057} -{"mode": "train", "epoch": 107, "iter": 67000, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.25263, "decode.acc_seg": 72.54532, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.45281, "loss": 0.44701, "time": 0.4013} -{"mode": "train", "epoch": 107, "iter": 67050, "lr": 3e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.25103, "decode.acc_seg": 72.9095, "aux.loss_seg": 0.19063, "aux.acc_seg": 66.99328, "loss": 0.44166, "time": 0.40104} -{"mode": "train", "epoch": 107, "iter": 67100, "lr": 3e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.25695, "decode.acc_seg": 73.54817, "aux.loss_seg": 0.19517, "aux.acc_seg": 67.34274, "loss": 0.45212, "time": 0.40213} -{"mode": "train", "epoch": 107, "iter": 67150, "lr": 3e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.25513, "decode.acc_seg": 71.66772, "aux.loss_seg": 0.19655, "aux.acc_seg": 65.58512, "loss": 0.45169, "time": 0.40211} -{"mode": "train", "epoch": 107, "iter": 67200, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.25845, "decode.acc_seg": 72.51956, "aux.loss_seg": 0.19378, "aux.acc_seg": 66.4753, "loss": 0.45222, "time": 0.40239} -{"mode": "train", "epoch": 107, "iter": 67250, "lr": 3e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.25216, "decode.acc_seg": 73.07273, "aux.loss_seg": 0.19316, "aux.acc_seg": 66.95999, "loss": 0.44532, "time": 0.40143} -{"mode": "train", "epoch": 107, "iter": 67300, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.25333, "decode.acc_seg": 72.15737, "aux.loss_seg": 0.19183, "aux.acc_seg": 66.11777, "loss": 0.44516, "time": 0.40111} -{"mode": "train", "epoch": 107, "iter": 67350, "lr": 3e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.24699, "decode.acc_seg": 72.34021, "aux.loss_seg": 0.19054, "aux.acc_seg": 66.34117, "loss": 0.43753, "time": 0.40245} -{"mode": "train", "epoch": 107, "iter": 67400, "lr": 3e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.26859, "decode.acc_seg": 72.36061, "aux.loss_seg": 0.20498, "aux.acc_seg": 65.90466, "loss": 0.47357, "time": 0.40137} -{"mode": "train", "epoch": 107, "iter": 67450, "lr": 3e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.25826, "decode.acc_seg": 72.73279, "aux.loss_seg": 0.19051, "aux.acc_seg": 66.90699, "loss": 0.44877, "time": 0.40075} -{"mode": "train", "epoch": 107, "iter": 67500, "lr": 3e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.26712, "decode.acc_seg": 73.31357, "aux.loss_seg": 0.1983, "aux.acc_seg": 67.24974, "loss": 0.46542, "time": 0.40105} -{"mode": "train", "epoch": 108, "iter": 67550, "lr": 3e-05, "memory": 22018, "data_time": 0.17176, "decode.loss_seg": 0.25745, "decode.acc_seg": 71.8046, "aux.loss_seg": 0.1924, "aux.acc_seg": 65.8429, "loss": 0.44984, "time": 0.56567} -{"mode": "train", "epoch": 108, "iter": 67600, "lr": 3e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.2488, "decode.acc_seg": 72.28298, "aux.loss_seg": 0.19128, "aux.acc_seg": 65.94674, "loss": 0.44008, "time": 0.39971} -{"mode": "train", "epoch": 108, "iter": 67650, "lr": 3e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.25525, "decode.acc_seg": 71.99407, "aux.loss_seg": 0.19686, "aux.acc_seg": 65.69411, "loss": 0.45212, "time": 0.39922} -{"mode": "train", "epoch": 108, "iter": 67700, "lr": 3e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.24608, "decode.acc_seg": 71.78131, "aux.loss_seg": 0.18976, "aux.acc_seg": 65.7413, "loss": 0.43583, "time": 0.39907} -{"mode": "train", "epoch": 108, "iter": 67750, "lr": 3e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.26011, "decode.acc_seg": 72.68072, "aux.loss_seg": 0.19236, "aux.acc_seg": 67.00651, "loss": 0.45246, "time": 0.40016} -{"mode": "train", "epoch": 108, "iter": 67800, "lr": 3e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.25272, "decode.acc_seg": 72.91424, "aux.loss_seg": 0.18848, "aux.acc_seg": 67.15838, "loss": 0.4412, "time": 0.3996} -{"mode": "train", "epoch": 108, "iter": 67850, "lr": 3e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.25261, "decode.acc_seg": 72.53532, "aux.loss_seg": 0.19069, "aux.acc_seg": 66.43129, "loss": 0.4433, "time": 0.39924} -{"mode": "train", "epoch": 108, "iter": 67900, "lr": 3e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.25535, "decode.acc_seg": 72.37367, "aux.loss_seg": 0.19067, "aux.acc_seg": 66.40652, "loss": 0.44603, "time": 0.39988} -{"mode": "train", "epoch": 108, "iter": 67950, "lr": 3e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.24974, "decode.acc_seg": 72.00223, "aux.loss_seg": 0.1924, "aux.acc_seg": 65.85143, "loss": 0.44214, "time": 0.40073} -{"mode": "train", "epoch": 108, "iter": 68000, "lr": 3e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.25475, "decode.acc_seg": 72.45151, "aux.loss_seg": 0.19533, "aux.acc_seg": 66.18644, "loss": 0.45008, "time": 0.40265} -{"mode": "train", "epoch": 108, "iter": 68050, "lr": 3e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.25851, "decode.acc_seg": 73.40387, "aux.loss_seg": 0.19768, "aux.acc_seg": 67.05085, "loss": 0.45619, "time": 0.40058} -{"mode": "train", "epoch": 108, "iter": 68100, "lr": 3e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.25424, "decode.acc_seg": 72.54572, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.37311, "loss": 0.44862, "time": 0.40135} -{"mode": "train", "epoch": 109, "iter": 68150, "lr": 3e-05, "memory": 22018, "data_time": 0.17752, "decode.loss_seg": 0.25367, "decode.acc_seg": 73.09735, "aux.loss_seg": 0.18966, "aux.acc_seg": 67.15859, "loss": 0.44334, "time": 0.5708} -{"mode": "train", "epoch": 109, "iter": 68200, "lr": 3e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.25396, "decode.acc_seg": 73.17748, "aux.loss_seg": 0.18895, "aux.acc_seg": 67.48005, "loss": 0.44291, "time": 0.40101} -{"mode": "train", "epoch": 109, "iter": 68250, "lr": 3e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.24959, "decode.acc_seg": 72.80102, "aux.loss_seg": 0.19136, "aux.acc_seg": 66.66214, "loss": 0.44095, "time": 0.40071} -{"mode": "train", "epoch": 109, "iter": 68300, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.24872, "decode.acc_seg": 71.63799, "aux.loss_seg": 0.18805, "aux.acc_seg": 65.42682, "loss": 0.43677, "time": 0.40098} -{"mode": "train", "epoch": 109, "iter": 68350, "lr": 3e-05, "memory": 22018, "data_time": 0.00992, "decode.loss_seg": 0.25152, "decode.acc_seg": 71.7615, "aux.loss_seg": 0.19074, "aux.acc_seg": 65.73893, "loss": 0.44226, "time": 0.40152} -{"mode": "train", "epoch": 109, "iter": 68400, "lr": 3e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.26374, "decode.acc_seg": 73.22947, "aux.loss_seg": 0.20048, "aux.acc_seg": 66.91641, "loss": 0.46422, "time": 0.4004} -{"mode": "train", "epoch": 109, "iter": 68450, "lr": 3e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.24924, "decode.acc_seg": 72.66206, "aux.loss_seg": 0.18656, "aux.acc_seg": 66.82193, "loss": 0.43579, "time": 0.40144} -{"mode": "train", "epoch": 109, "iter": 68500, "lr": 3e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.24664, "decode.acc_seg": 72.1873, "aux.loss_seg": 0.18912, "aux.acc_seg": 66.05542, "loss": 0.43577, "time": 0.4022} -{"mode": "train", "epoch": 109, "iter": 68550, "lr": 3e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.25068, "decode.acc_seg": 72.65874, "aux.loss_seg": 0.18995, "aux.acc_seg": 66.57954, "loss": 0.44063, "time": 0.40258} -{"mode": "train", "epoch": 109, "iter": 68600, "lr": 3e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.25569, "decode.acc_seg": 72.62361, "aux.loss_seg": 0.19074, "aux.acc_seg": 66.63227, "loss": 0.44644, "time": 0.40214} -{"mode": "train", "epoch": 109, "iter": 68650, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.25669, "decode.acc_seg": 72.25421, "aux.loss_seg": 0.19692, "aux.acc_seg": 65.90042, "loss": 0.45362, "time": 0.4015} -{"mode": "train", "epoch": 109, "iter": 68700, "lr": 3e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.25708, "decode.acc_seg": 72.78364, "aux.loss_seg": 0.19545, "aux.acc_seg": 66.65734, "loss": 0.45254, "time": 0.40104} -{"mode": "train", "epoch": 109, "iter": 68750, "lr": 3e-05, "memory": 22018, "data_time": 0.01007, "decode.loss_seg": 0.25844, "decode.acc_seg": 73.07368, "aux.loss_seg": 0.19439, "aux.acc_seg": 67.00742, "loss": 0.45283, "time": 0.4014} -{"mode": "train", "epoch": 110, "iter": 68800, "lr": 3e-05, "memory": 22018, "data_time": 0.17106, "decode.loss_seg": 0.2386, "decode.acc_seg": 73.56559, "aux.loss_seg": 0.18577, "aux.acc_seg": 67.54895, "loss": 0.42437, "time": 0.56381} -{"mode": "train", "epoch": 110, "iter": 68850, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.25107, "decode.acc_seg": 72.84471, "aux.loss_seg": 0.18944, "aux.acc_seg": 66.97809, "loss": 0.44051, "time": 0.40186} -{"mode": "train", "epoch": 110, "iter": 68900, "lr": 3e-05, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.2434, "decode.acc_seg": 72.33499, "aux.loss_seg": 0.18517, "aux.acc_seg": 66.49004, "loss": 0.42857, "time": 0.4022} -{"mode": "train", "epoch": 110, "iter": 68950, "lr": 3e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.25, "decode.acc_seg": 71.74131, "aux.loss_seg": 0.18753, "aux.acc_seg": 66.01443, "loss": 0.43754, "time": 0.40216} -{"mode": "train", "epoch": 110, "iter": 69000, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.25291, "decode.acc_seg": 73.49397, "aux.loss_seg": 0.19482, "aux.acc_seg": 67.36134, "loss": 0.44774, "time": 0.40097} -{"mode": "train", "epoch": 110, "iter": 69050, "lr": 3e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.24869, "decode.acc_seg": 71.95713, "aux.loss_seg": 0.18732, "aux.acc_seg": 66.18303, "loss": 0.436, "time": 0.40224} -{"mode": "train", "epoch": 110, "iter": 69100, "lr": 3e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.24196, "decode.acc_seg": 74.11067, "aux.loss_seg": 0.18999, "aux.acc_seg": 67.85962, "loss": 0.43195, "time": 0.40125} -{"mode": "train", "epoch": 110, "iter": 69150, "lr": 3e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.25006, "decode.acc_seg": 71.88609, "aux.loss_seg": 0.18787, "aux.acc_seg": 65.9291, "loss": 0.43793, "time": 0.40143} -{"mode": "train", "epoch": 110, "iter": 69200, "lr": 3e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.26196, "decode.acc_seg": 72.6824, "aux.loss_seg": 0.19953, "aux.acc_seg": 66.43938, "loss": 0.46149, "time": 0.40117} -{"mode": "train", "epoch": 110, "iter": 69250, "lr": 3e-05, "memory": 22018, "data_time": 0.01033, "decode.loss_seg": 0.2586, "decode.acc_seg": 72.10435, "aux.loss_seg": 0.19558, "aux.acc_seg": 65.98866, "loss": 0.45418, "time": 0.40259} -{"mode": "train", "epoch": 110, "iter": 69300, "lr": 3e-05, "memory": 22018, "data_time": 0.01067, "decode.loss_seg": 0.25264, "decode.acc_seg": 72.70545, "aux.loss_seg": 0.1903, "aux.acc_seg": 66.66826, "loss": 0.44295, "time": 0.40165} -{"mode": "train", "epoch": 110, "iter": 69350, "lr": 3e-05, "memory": 22018, "data_time": 0.01109, "decode.loss_seg": 0.24983, "decode.acc_seg": 73.14177, "aux.loss_seg": 0.18891, "aux.acc_seg": 67.26664, "loss": 0.43874, "time": 0.40188} -{"mode": "train", "epoch": 110, "iter": 69400, "lr": 3e-05, "memory": 22018, "data_time": 0.01058, "decode.loss_seg": 0.25902, "decode.acc_seg": 72.99319, "aux.loss_seg": 0.19344, "aux.acc_seg": 66.97432, "loss": 0.45247, "time": 0.40163} -{"mode": "train", "epoch": 111, "iter": 69450, "lr": 3e-05, "memory": 22018, "data_time": 0.1748, "decode.loss_seg": 0.25209, "decode.acc_seg": 72.99345, "aux.loss_seg": 0.19279, "aux.acc_seg": 66.89059, "loss": 0.44488, "time": 0.56701} -{"mode": "train", "epoch": 111, "iter": 69500, "lr": 3e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.25241, "decode.acc_seg": 73.01149, "aux.loss_seg": 0.19228, "aux.acc_seg": 66.99072, "loss": 0.4447, "time": 0.4004} -{"mode": "train", "epoch": 111, "iter": 69550, "lr": 3e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.24822, "decode.acc_seg": 73.25157, "aux.loss_seg": 0.19231, "aux.acc_seg": 66.912, "loss": 0.44053, "time": 0.40034} -{"mode": "train", "epoch": 111, "iter": 69600, "lr": 3e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.25288, "decode.acc_seg": 72.46603, "aux.loss_seg": 0.18826, "aux.acc_seg": 66.55198, "loss": 0.44114, "time": 0.40052} -{"mode": "train", "epoch": 111, "iter": 69650, "lr": 3e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.24649, "decode.acc_seg": 72.53824, "aux.loss_seg": 0.18644, "aux.acc_seg": 66.55141, "loss": 0.43293, "time": 0.40092} -{"mode": "train", "epoch": 111, "iter": 69700, "lr": 3e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.26344, "decode.acc_seg": 72.88446, "aux.loss_seg": 0.19835, "aux.acc_seg": 66.67324, "loss": 0.46179, "time": 0.40118} -{"mode": "train", "epoch": 111, "iter": 69750, "lr": 3e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.25176, "decode.acc_seg": 72.84642, "aux.loss_seg": 0.19341, "aux.acc_seg": 66.64594, "loss": 0.44517, "time": 0.40179} -{"mode": "train", "epoch": 111, "iter": 69800, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.2548, "decode.acc_seg": 71.31098, "aux.loss_seg": 0.19271, "aux.acc_seg": 65.325, "loss": 0.44751, "time": 0.40102} -{"mode": "train", "epoch": 111, "iter": 69850, "lr": 3e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.25627, "decode.acc_seg": 72.08701, "aux.loss_seg": 0.19094, "aux.acc_seg": 66.25728, "loss": 0.44721, "time": 0.40195} -{"mode": "train", "epoch": 111, "iter": 69900, "lr": 3e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.26146, "decode.acc_seg": 72.717, "aux.loss_seg": 0.19953, "aux.acc_seg": 66.33739, "loss": 0.46099, "time": 0.40124} -{"mode": "train", "epoch": 111, "iter": 69950, "lr": 3e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.24827, "decode.acc_seg": 71.67015, "aux.loss_seg": 0.18556, "aux.acc_seg": 66.01769, "loss": 0.43383, "time": 0.40088} -{"mode": "train", "epoch": 111, "iter": 70000, "lr": 3e-05, "memory": 22018, "data_time": 0.00938, "decode.loss_seg": 0.24962, "decode.acc_seg": 72.0114, "aux.loss_seg": 0.19028, "aux.acc_seg": 65.97932, "loss": 0.4399, "time": 0.40133} -{"mode": "train", "epoch": 112, "iter": 70050, "lr": 3e-05, "memory": 22018, "data_time": 0.1807, "decode.loss_seg": 0.23629, "decode.acc_seg": 72.30096, "aux.loss_seg": 0.18315, "aux.acc_seg": 66.43809, "loss": 0.41944, "time": 0.57389} -{"mode": "train", "epoch": 112, "iter": 70100, "lr": 3e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.25757, "decode.acc_seg": 73.23544, "aux.loss_seg": 0.19192, "aux.acc_seg": 67.33365, "loss": 0.44949, "time": 0.4033} -{"mode": "train", "epoch": 112, "iter": 70150, "lr": 3e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.2466, "decode.acc_seg": 72.65221, "aux.loss_seg": 0.18541, "aux.acc_seg": 66.77966, "loss": 0.43201, "time": 0.40251} -{"mode": "train", "epoch": 112, "iter": 70200, "lr": 3e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.24544, "decode.acc_seg": 73.26083, "aux.loss_seg": 0.19064, "aux.acc_seg": 67.17549, "loss": 0.43608, "time": 0.40178} -{"mode": "train", "epoch": 112, "iter": 70250, "lr": 3e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.25132, "decode.acc_seg": 71.28359, "aux.loss_seg": 0.19481, "aux.acc_seg": 65.14244, "loss": 0.44614, "time": 0.40262} -{"mode": "train", "epoch": 112, "iter": 70300, "lr": 3e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.24908, "decode.acc_seg": 72.55799, "aux.loss_seg": 0.18596, "aux.acc_seg": 66.76639, "loss": 0.43505, "time": 0.40216} -{"mode": "train", "epoch": 112, "iter": 70350, "lr": 3e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.26038, "decode.acc_seg": 73.09848, "aux.loss_seg": 0.1966, "aux.acc_seg": 66.79556, "loss": 0.45698, "time": 0.40234} -{"mode": "train", "epoch": 112, "iter": 70400, "lr": 3e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.25728, "decode.acc_seg": 72.19053, "aux.loss_seg": 0.19584, "aux.acc_seg": 66.08999, "loss": 0.45312, "time": 0.40342} -{"mode": "train", "epoch": 112, "iter": 70450, "lr": 3e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.24244, "decode.acc_seg": 72.33048, "aux.loss_seg": 0.18107, "aux.acc_seg": 66.78595, "loss": 0.4235, "time": 0.40361} -{"mode": "train", "epoch": 112, "iter": 70500, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.26396, "decode.acc_seg": 73.05142, "aux.loss_seg": 0.19907, "aux.acc_seg": 66.85181, "loss": 0.46303, "time": 0.40325} -{"mode": "train", "epoch": 112, "iter": 70550, "lr": 3e-05, "memory": 22018, "data_time": 0.01014, "decode.loss_seg": 0.24836, "decode.acc_seg": 72.47375, "aux.loss_seg": 0.18619, "aux.acc_seg": 66.72659, "loss": 0.43455, "time": 0.40206} -{"mode": "train", "epoch": 112, "iter": 70600, "lr": 3e-05, "memory": 22018, "data_time": 0.01012, "decode.loss_seg": 0.25491, "decode.acc_seg": 72.78262, "aux.loss_seg": 0.1937, "aux.acc_seg": 66.59594, "loss": 0.44861, "time": 0.40228} -{"mode": "train", "epoch": 112, "iter": 70650, "lr": 3e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.26465, "decode.acc_seg": 71.34751, "aux.loss_seg": 0.19532, "aux.acc_seg": 65.33989, "loss": 0.45997, "time": 0.40139} -{"mode": "train", "epoch": 113, "iter": 70700, "lr": 3e-05, "memory": 22018, "data_time": 0.17743, "decode.loss_seg": 0.24052, "decode.acc_seg": 73.20098, "aux.loss_seg": 0.18324, "aux.acc_seg": 67.24421, "loss": 0.42376, "time": 0.57101} -{"mode": "train", "epoch": 113, "iter": 70750, "lr": 3e-05, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.24646, "decode.acc_seg": 72.03287, "aux.loss_seg": 0.18808, "aux.acc_seg": 66.15821, "loss": 0.43454, "time": 0.40106} -{"mode": "train", "epoch": 113, "iter": 70800, "lr": 3e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.25146, "decode.acc_seg": 73.35796, "aux.loss_seg": 0.18844, "aux.acc_seg": 67.40666, "loss": 0.4399, "time": 0.40098} -{"mode": "train", "epoch": 113, "iter": 70850, "lr": 3e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.25042, "decode.acc_seg": 71.83284, "aux.loss_seg": 0.19119, "aux.acc_seg": 65.64334, "loss": 0.44161, "time": 0.40135} -{"mode": "train", "epoch": 113, "iter": 70900, "lr": 3e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.25535, "decode.acc_seg": 73.06845, "aux.loss_seg": 0.19, "aux.acc_seg": 67.32877, "loss": 0.44535, "time": 0.40216} -{"mode": "train", "epoch": 113, "iter": 70950, "lr": 3e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.256, "decode.acc_seg": 72.44139, "aux.loss_seg": 0.1961, "aux.acc_seg": 66.13117, "loss": 0.4521, "time": 0.40262} -{"mode": "train", "epoch": 113, "iter": 71000, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.25284, "decode.acc_seg": 71.72888, "aux.loss_seg": 0.18831, "aux.acc_seg": 65.97617, "loss": 0.44114, "time": 0.40084} -{"mode": "train", "epoch": 113, "iter": 71050, "lr": 3e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.25441, "decode.acc_seg": 72.82797, "aux.loss_seg": 0.1973, "aux.acc_seg": 66.63753, "loss": 0.45171, "time": 0.40166} -{"mode": "train", "epoch": 113, "iter": 71100, "lr": 3e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.24598, "decode.acc_seg": 72.38134, "aux.loss_seg": 0.18639, "aux.acc_seg": 66.43119, "loss": 0.43237, "time": 0.40228} -{"mode": "train", "epoch": 113, "iter": 71150, "lr": 3e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.2499, "decode.acc_seg": 73.61346, "aux.loss_seg": 0.18776, "aux.acc_seg": 67.59394, "loss": 0.43766, "time": 0.40226} -{"mode": "train", "epoch": 113, "iter": 71200, "lr": 3e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.25222, "decode.acc_seg": 71.72903, "aux.loss_seg": 0.1843, "aux.acc_seg": 66.19209, "loss": 0.43651, "time": 0.40149} -{"mode": "train", "epoch": 113, "iter": 71250, "lr": 3e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.24546, "decode.acc_seg": 72.71693, "aux.loss_seg": 0.18218, "aux.acc_seg": 67.07486, "loss": 0.42764, "time": 0.40122} -{"mode": "train", "epoch": 113, "iter": 71300, "lr": 3e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.25519, "decode.acc_seg": 73.41953, "aux.loss_seg": 0.1954, "aux.acc_seg": 67.17371, "loss": 0.45059, "time": 0.40099} -{"mode": "train", "epoch": 114, "iter": 71350, "lr": 3e-05, "memory": 22018, "data_time": 0.17789, "decode.loss_seg": 0.25226, "decode.acc_seg": 72.81804, "aux.loss_seg": 0.18966, "aux.acc_seg": 66.79542, "loss": 0.44192, "time": 0.57032} -{"mode": "train", "epoch": 114, "iter": 71400, "lr": 3e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.24821, "decode.acc_seg": 72.37308, "aux.loss_seg": 0.18948, "aux.acc_seg": 66.33006, "loss": 0.43769, "time": 0.39882} -{"mode": "train", "epoch": 114, "iter": 71450, "lr": 3e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.24972, "decode.acc_seg": 72.26883, "aux.loss_seg": 0.18891, "aux.acc_seg": 66.32209, "loss": 0.43863, "time": 0.39883} -{"mode": "train", "epoch": 114, "iter": 71500, "lr": 3e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.26029, "decode.acc_seg": 72.3425, "aux.loss_seg": 0.19423, "aux.acc_seg": 66.39628, "loss": 0.45452, "time": 0.40015} -{"mode": "train", "epoch": 114, "iter": 71550, "lr": 3e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.25594, "decode.acc_seg": 72.19269, "aux.loss_seg": 0.19206, "aux.acc_seg": 66.29042, "loss": 0.44801, "time": 0.40062} -{"mode": "train", "epoch": 114, "iter": 71600, "lr": 3e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.25783, "decode.acc_seg": 72.14441, "aux.loss_seg": 0.19287, "aux.acc_seg": 66.18027, "loss": 0.4507, "time": 0.40134} -{"mode": "train", "epoch": 114, "iter": 71650, "lr": 3e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.2481, "decode.acc_seg": 73.29654, "aux.loss_seg": 0.18963, "aux.acc_seg": 67.39955, "loss": 0.43773, "time": 0.39976} -{"mode": "train", "epoch": 114, "iter": 71700, "lr": 3e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.24427, "decode.acc_seg": 73.65169, "aux.loss_seg": 0.18711, "aux.acc_seg": 67.6602, "loss": 0.43138, "time": 0.4009} -{"mode": "train", "epoch": 114, "iter": 71750, "lr": 3e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.23938, "decode.acc_seg": 73.54312, "aux.loss_seg": 0.1853, "aux.acc_seg": 67.58363, "loss": 0.42469, "time": 0.40093} -{"mode": "train", "epoch": 114, "iter": 71800, "lr": 3e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.24874, "decode.acc_seg": 72.67531, "aux.loss_seg": 0.19121, "aux.acc_seg": 66.5182, "loss": 0.43994, "time": 0.40045} -{"mode": "train", "epoch": 114, "iter": 71850, "lr": 3e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.25081, "decode.acc_seg": 73.64183, "aux.loss_seg": 0.188, "aux.acc_seg": 67.85902, "loss": 0.43881, "time": 0.39952} -{"mode": "train", "epoch": 114, "iter": 71900, "lr": 3e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.24056, "decode.acc_seg": 72.93209, "aux.loss_seg": 0.17762, "aux.acc_seg": 67.50683, "loss": 0.41819, "time": 0.40041} -{"mode": "train", "epoch": 115, "iter": 71950, "lr": 3e-05, "memory": 22018, "data_time": 0.1813, "decode.loss_seg": 0.2561, "decode.acc_seg": 72.58841, "aux.loss_seg": 0.19585, "aux.acc_seg": 66.32172, "loss": 0.45195, "time": 0.57671} -{"mode": "train", "epoch": 115, "iter": 72000, "lr": 3e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.24559, "decode.acc_seg": 73.65256, "aux.loss_seg": 0.18927, "aux.acc_seg": 67.496, "loss": 0.43486, "time": 0.40069} -{"mode": "train", "epoch": 115, "iter": 72050, "lr": 3e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.24313, "decode.acc_seg": 72.18819, "aux.loss_seg": 0.18301, "aux.acc_seg": 66.51355, "loss": 0.42613, "time": 0.4006} -{"mode": "train", "epoch": 115, "iter": 72100, "lr": 3e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.23942, "decode.acc_seg": 72.84312, "aux.loss_seg": 0.18694, "aux.acc_seg": 66.82858, "loss": 0.42637, "time": 0.40017} -{"mode": "train", "epoch": 115, "iter": 72150, "lr": 3e-05, "memory": 22018, "data_time": 0.01008, "decode.loss_seg": 0.24385, "decode.acc_seg": 72.58773, "aux.loss_seg": 0.18826, "aux.acc_seg": 66.61359, "loss": 0.43211, "time": 0.40028} -{"mode": "train", "epoch": 115, "iter": 72200, "lr": 3e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.25677, "decode.acc_seg": 72.50091, "aux.loss_seg": 0.19148, "aux.acc_seg": 66.77876, "loss": 0.44825, "time": 0.40102} -{"mode": "train", "epoch": 115, "iter": 72250, "lr": 3e-05, "memory": 22018, "data_time": 0.00978, "decode.loss_seg": 0.24153, "decode.acc_seg": 71.92263, "aux.loss_seg": 0.18152, "aux.acc_seg": 66.07107, "loss": 0.42304, "time": 0.4007} -{"mode": "train", "epoch": 115, "iter": 72300, "lr": 3e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.24214, "decode.acc_seg": 72.5623, "aux.loss_seg": 0.18845, "aux.acc_seg": 66.14716, "loss": 0.43059, "time": 0.40056} -{"mode": "train", "epoch": 115, "iter": 72350, "lr": 3e-05, "memory": 22018, "data_time": 0.0097, "decode.loss_seg": 0.24584, "decode.acc_seg": 72.9559, "aux.loss_seg": 0.19138, "aux.acc_seg": 66.6148, "loss": 0.43722, "time": 0.4003} -{"mode": "train", "epoch": 115, "iter": 72400, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.24463, "decode.acc_seg": 72.2317, "aux.loss_seg": 0.18511, "aux.acc_seg": 66.38786, "loss": 0.42975, "time": 0.40093} -{"mode": "train", "epoch": 115, "iter": 72450, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.25715, "decode.acc_seg": 72.49238, "aux.loss_seg": 0.19014, "aux.acc_seg": 66.57431, "loss": 0.44729, "time": 0.40044} -{"mode": "train", "epoch": 115, "iter": 72500, "lr": 3e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.25908, "decode.acc_seg": 72.31303, "aux.loss_seg": 0.19564, "aux.acc_seg": 66.0479, "loss": 0.45472, "time": 0.40177} -{"mode": "train", "epoch": 115, "iter": 72550, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.24792, "decode.acc_seg": 72.31605, "aux.loss_seg": 0.19337, "aux.acc_seg": 65.95867, "loss": 0.44129, "time": 0.39977} -{"mode": "train", "epoch": 116, "iter": 72600, "lr": 3e-05, "memory": 22018, "data_time": 0.17, "decode.loss_seg": 0.25816, "decode.acc_seg": 72.60875, "aux.loss_seg": 0.19372, "aux.acc_seg": 66.53163, "loss": 0.45188, "time": 0.56247} -{"mode": "train", "epoch": 116, "iter": 72650, "lr": 3e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.25437, "decode.acc_seg": 71.83801, "aux.loss_seg": 0.19126, "aux.acc_seg": 65.94246, "loss": 0.44563, "time": 0.40099} -{"mode": "train", "epoch": 116, "iter": 72700, "lr": 3e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.25394, "decode.acc_seg": 72.89487, "aux.loss_seg": 0.18699, "aux.acc_seg": 67.20343, "loss": 0.44093, "time": 0.40012} -{"mode": "train", "epoch": 116, "iter": 72750, "lr": 3e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.24677, "decode.acc_seg": 72.5453, "aux.loss_seg": 0.18844, "aux.acc_seg": 66.6836, "loss": 0.4352, "time": 0.40022} -{"mode": "train", "epoch": 116, "iter": 72800, "lr": 3e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.23425, "decode.acc_seg": 73.36972, "aux.loss_seg": 0.18077, "aux.acc_seg": 67.49598, "loss": 0.41502, "time": 0.40121} -{"mode": "train", "epoch": 116, "iter": 72850, "lr": 3e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.24129, "decode.acc_seg": 73.48553, "aux.loss_seg": 0.18146, "aux.acc_seg": 67.78246, "loss": 0.42275, "time": 0.40308} -{"mode": "train", "epoch": 116, "iter": 72900, "lr": 3e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.25249, "decode.acc_seg": 73.51946, "aux.loss_seg": 0.19431, "aux.acc_seg": 67.1821, "loss": 0.44679, "time": 0.4018} -{"mode": "train", "epoch": 116, "iter": 72950, "lr": 3e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.23453, "decode.acc_seg": 72.9361, "aux.loss_seg": 0.17976, "aux.acc_seg": 67.20357, "loss": 0.41429, "time": 0.40124} -{"mode": "train", "epoch": 116, "iter": 73000, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.24363, "decode.acc_seg": 72.4089, "aux.loss_seg": 0.18389, "aux.acc_seg": 66.49912, "loss": 0.42752, "time": 0.40054} -{"mode": "train", "epoch": 116, "iter": 73050, "lr": 3e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.24359, "decode.acc_seg": 72.70549, "aux.loss_seg": 0.18418, "aux.acc_seg": 66.8866, "loss": 0.42777, "time": 0.40116} -{"mode": "train", "epoch": 116, "iter": 73100, "lr": 3e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.2304, "decode.acc_seg": 72.53951, "aux.loss_seg": 0.18276, "aux.acc_seg": 66.35753, "loss": 0.41316, "time": 0.40074} -{"mode": "train", "epoch": 116, "iter": 73150, "lr": 3e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.23402, "decode.acc_seg": 72.66765, "aux.loss_seg": 0.18217, "aux.acc_seg": 66.58082, "loss": 0.41618, "time": 0.40086} -{"mode": "train", "epoch": 117, "iter": 73200, "lr": 3e-05, "memory": 22018, "data_time": 0.17374, "decode.loss_seg": 0.24004, "decode.acc_seg": 72.42046, "aux.loss_seg": 0.18174, "aux.acc_seg": 66.68803, "loss": 0.42178, "time": 0.56832} -{"mode": "train", "epoch": 117, "iter": 73250, "lr": 3e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.23133, "decode.acc_seg": 71.92563, "aux.loss_seg": 0.18354, "aux.acc_seg": 65.63776, "loss": 0.41487, "time": 0.40199} -{"mode": "train", "epoch": 117, "iter": 73300, "lr": 3e-05, "memory": 22018, "data_time": 0.01016, "decode.loss_seg": 0.25258, "decode.acc_seg": 73.36668, "aux.loss_seg": 0.19794, "aux.acc_seg": 66.82085, "loss": 0.45052, "time": 0.40188} -{"mode": "train", "epoch": 117, "iter": 73350, "lr": 3e-05, "memory": 22018, "data_time": 0.01063, "decode.loss_seg": 0.24283, "decode.acc_seg": 74.05095, "aux.loss_seg": 0.19293, "aux.acc_seg": 67.77152, "loss": 0.43576, "time": 0.40305} -{"mode": "train", "epoch": 117, "iter": 73400, "lr": 3e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.24388, "decode.acc_seg": 72.81233, "aux.loss_seg": 0.18885, "aux.acc_seg": 66.57697, "loss": 0.43273, "time": 0.40284} -{"mode": "train", "epoch": 117, "iter": 73450, "lr": 3e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.24015, "decode.acc_seg": 72.21216, "aux.loss_seg": 0.18399, "aux.acc_seg": 66.36715, "loss": 0.42413, "time": 0.40224} -{"mode": "train", "epoch": 117, "iter": 73500, "lr": 3e-05, "memory": 22018, "data_time": 0.01061, "decode.loss_seg": 0.25344, "decode.acc_seg": 72.6614, "aux.loss_seg": 0.19079, "aux.acc_seg": 66.66979, "loss": 0.44423, "time": 0.40331} -{"mode": "train", "epoch": 117, "iter": 73550, "lr": 3e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.25381, "decode.acc_seg": 72.87626, "aux.loss_seg": 0.19133, "aux.acc_seg": 66.89695, "loss": 0.44514, "time": 0.40206} -{"mode": "train", "epoch": 117, "iter": 73600, "lr": 3e-05, "memory": 22018, "data_time": 0.01019, "decode.loss_seg": 0.26089, "decode.acc_seg": 72.33325, "aux.loss_seg": 0.18839, "aux.acc_seg": 66.71371, "loss": 0.44929, "time": 0.40304} -{"mode": "train", "epoch": 117, "iter": 73650, "lr": 3e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.24317, "decode.acc_seg": 72.79553, "aux.loss_seg": 0.18404, "aux.acc_seg": 66.94497, "loss": 0.42721, "time": 0.40282} -{"mode": "train", "epoch": 117, "iter": 73700, "lr": 3e-05, "memory": 22018, "data_time": 0.01004, "decode.loss_seg": 0.24742, "decode.acc_seg": 73.21503, "aux.loss_seg": 0.18408, "aux.acc_seg": 67.63914, "loss": 0.4315, "time": 0.40201} -{"mode": "train", "epoch": 117, "iter": 73750, "lr": 3e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.2498, "decode.acc_seg": 72.21875, "aux.loss_seg": 0.1917, "aux.acc_seg": 66.16237, "loss": 0.4415, "time": 0.40175} -{"mode": "train", "epoch": 117, "iter": 73800, "lr": 3e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.25556, "decode.acc_seg": 73.49524, "aux.loss_seg": 0.19735, "aux.acc_seg": 66.97272, "loss": 0.45291, "time": 0.4016} -{"mode": "train", "epoch": 118, "iter": 73850, "lr": 3e-05, "memory": 22018, "data_time": 0.16872, "decode.loss_seg": 0.23699, "decode.acc_seg": 71.59342, "aux.loss_seg": 0.17835, "aux.acc_seg": 66.07137, "loss": 0.41534, "time": 0.56089} -{"mode": "train", "epoch": 118, "iter": 73900, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.23598, "decode.acc_seg": 72.56379, "aux.loss_seg": 0.1795, "aux.acc_seg": 66.90417, "loss": 0.41548, "time": 0.40022} -{"mode": "train", "epoch": 118, "iter": 73950, "lr": 3e-05, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.25257, "decode.acc_seg": 72.35307, "aux.loss_seg": 0.1902, "aux.acc_seg": 66.16601, "loss": 0.44277, "time": 0.39942} -{"mode": "train", "epoch": 118, "iter": 74000, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.23966, "decode.acc_seg": 72.80678, "aux.loss_seg": 0.18771, "aux.acc_seg": 66.70516, "loss": 0.42737, "time": 0.40048} -{"mode": "train", "epoch": 118, "iter": 74050, "lr": 3e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.24976, "decode.acc_seg": 73.08705, "aux.loss_seg": 0.1942, "aux.acc_seg": 66.79651, "loss": 0.44396, "time": 0.40108} -{"mode": "train", "epoch": 118, "iter": 74100, "lr": 3e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.24479, "decode.acc_seg": 72.03459, "aux.loss_seg": 0.18787, "aux.acc_seg": 66.13714, "loss": 0.43266, "time": 0.40108} -{"mode": "train", "epoch": 118, "iter": 74150, "lr": 3e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.24798, "decode.acc_seg": 72.89386, "aux.loss_seg": 0.1886, "aux.acc_seg": 67.03014, "loss": 0.43658, "time": 0.40055} -{"mode": "train", "epoch": 118, "iter": 74200, "lr": 3e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.24817, "decode.acc_seg": 72.03159, "aux.loss_seg": 0.18495, "aux.acc_seg": 66.23414, "loss": 0.43313, "time": 0.40043} -{"mode": "train", "epoch": 118, "iter": 74250, "lr": 3e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.24992, "decode.acc_seg": 72.4082, "aux.loss_seg": 0.18938, "aux.acc_seg": 66.55907, "loss": 0.4393, "time": 0.40038} -{"mode": "train", "epoch": 118, "iter": 74300, "lr": 3e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.23843, "decode.acc_seg": 72.96098, "aux.loss_seg": 0.17843, "aux.acc_seg": 67.38203, "loss": 0.41686, "time": 0.40007} -{"mode": "train", "epoch": 118, "iter": 74350, "lr": 3e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.24212, "decode.acc_seg": 72.34639, "aux.loss_seg": 0.18275, "aux.acc_seg": 66.55739, "loss": 0.42487, "time": 0.39993} -{"mode": "train", "epoch": 118, "iter": 74400, "lr": 3e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.25124, "decode.acc_seg": 72.56996, "aux.loss_seg": 0.19117, "aux.acc_seg": 66.68534, "loss": 0.44241, "time": 0.39954} -{"mode": "train", "epoch": 118, "iter": 74450, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.25246, "decode.acc_seg": 72.22661, "aux.loss_seg": 0.19056, "aux.acc_seg": 66.3225, "loss": 0.44302, "time": 0.39974} -{"mode": "train", "epoch": 119, "iter": 74500, "lr": 3e-05, "memory": 22018, "data_time": 0.17724, "decode.loss_seg": 0.23326, "decode.acc_seg": 73.50627, "aux.loss_seg": 0.17766, "aux.acc_seg": 67.84163, "loss": 0.41092, "time": 0.56957} -{"mode": "train", "epoch": 119, "iter": 74550, "lr": 3e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.24527, "decode.acc_seg": 73.26557, "aux.loss_seg": 0.18738, "aux.acc_seg": 67.29819, "loss": 0.43265, "time": 0.40072} -{"mode": "train", "epoch": 119, "iter": 74600, "lr": 3e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.24405, "decode.acc_seg": 72.21595, "aux.loss_seg": 0.17993, "aux.acc_seg": 66.78318, "loss": 0.42397, "time": 0.40046} -{"mode": "train", "epoch": 119, "iter": 74650, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.24622, "decode.acc_seg": 72.2515, "aux.loss_seg": 0.18628, "aux.acc_seg": 66.26782, "loss": 0.4325, "time": 0.4001} -{"mode": "train", "epoch": 119, "iter": 74700, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.24631, "decode.acc_seg": 72.98351, "aux.loss_seg": 0.18643, "aux.acc_seg": 67.19953, "loss": 0.43274, "time": 0.40091} -{"mode": "train", "epoch": 119, "iter": 74750, "lr": 3e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.2372, "decode.acc_seg": 72.60891, "aux.loss_seg": 0.18059, "aux.acc_seg": 66.78431, "loss": 0.41779, "time": 0.40103} -{"mode": "train", "epoch": 119, "iter": 74800, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.23915, "decode.acc_seg": 72.7779, "aux.loss_seg": 0.18519, "aux.acc_seg": 66.82402, "loss": 0.42434, "time": 0.40013} -{"mode": "train", "epoch": 119, "iter": 74850, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.23674, "decode.acc_seg": 71.95512, "aux.loss_seg": 0.18416, "aux.acc_seg": 66.09631, "loss": 0.4209, "time": 0.40105} -{"mode": "train", "epoch": 119, "iter": 74900, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.25519, "decode.acc_seg": 73.25828, "aux.loss_seg": 0.19302, "aux.acc_seg": 67.09424, "loss": 0.44821, "time": 0.40097} -{"mode": "train", "epoch": 119, "iter": 74950, "lr": 3e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.24395, "decode.acc_seg": 72.16299, "aux.loss_seg": 0.18678, "aux.acc_seg": 66.20811, "loss": 0.43072, "time": 0.40243} -{"mode": "train", "epoch": 119, "iter": 75000, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.24483, "decode.acc_seg": 73.24831, "aux.loss_seg": 0.18534, "aux.acc_seg": 67.30844, "loss": 0.43017, "time": 0.40087} -{"mode": "train", "epoch": 119, "iter": 75050, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.23654, "decode.acc_seg": 73.1147, "aux.loss_seg": 0.18567, "aux.acc_seg": 67.05013, "loss": 0.4222, "time": 0.40044} -{"mode": "train", "epoch": 120, "iter": 75100, "lr": 3e-05, "memory": 22018, "data_time": 0.17988, "decode.loss_seg": 0.24854, "decode.acc_seg": 73.4902, "aux.loss_seg": 0.18784, "aux.acc_seg": 67.48176, "loss": 0.43638, "time": 0.57223} -{"mode": "train", "epoch": 120, "iter": 75150, "lr": 3e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.24098, "decode.acc_seg": 72.45479, "aux.loss_seg": 0.18567, "aux.acc_seg": 66.43945, "loss": 0.42666, "time": 0.40282} -{"mode": "train", "epoch": 120, "iter": 75200, "lr": 3e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.24444, "decode.acc_seg": 73.05824, "aux.loss_seg": 0.18116, "aux.acc_seg": 67.48576, "loss": 0.42561, "time": 0.40286} -{"mode": "train", "epoch": 120, "iter": 75250, "lr": 3e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.24244, "decode.acc_seg": 73.16684, "aux.loss_seg": 0.18524, "aux.acc_seg": 67.30099, "loss": 0.42768, "time": 0.40301} -{"mode": "train", "epoch": 120, "iter": 75300, "lr": 3e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.24985, "decode.acc_seg": 73.15302, "aux.loss_seg": 0.19337, "aux.acc_seg": 66.77501, "loss": 0.44322, "time": 0.40256} -{"mode": "train", "epoch": 120, "iter": 75350, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.24402, "decode.acc_seg": 73.75373, "aux.loss_seg": 0.19191, "aux.acc_seg": 67.49331, "loss": 0.43592, "time": 0.40325} -{"mode": "train", "epoch": 120, "iter": 75400, "lr": 3e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.75632, "aux.loss_seg": 0.18985, "aux.acc_seg": 66.85312, "loss": 0.4392, "time": 0.40254} -{"mode": "train", "epoch": 120, "iter": 75450, "lr": 3e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.24382, "decode.acc_seg": 72.69563, "aux.loss_seg": 0.19018, "aux.acc_seg": 66.51144, "loss": 0.434, "time": 0.40241} -{"mode": "train", "epoch": 120, "iter": 75500, "lr": 3e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.25323, "decode.acc_seg": 72.2462, "aux.loss_seg": 0.18657, "aux.acc_seg": 66.39714, "loss": 0.43979, "time": 0.40227} -{"mode": "train", "epoch": 120, "iter": 75550, "lr": 3e-05, "memory": 22018, "data_time": 0.01003, "decode.loss_seg": 0.23311, "decode.acc_seg": 72.63385, "aux.loss_seg": 0.18273, "aux.acc_seg": 66.63, "loss": 0.41583, "time": 0.4033} -{"mode": "train", "epoch": 120, "iter": 75600, "lr": 3e-05, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.23982, "decode.acc_seg": 73.24475, "aux.loss_seg": 0.18499, "aux.acc_seg": 67.14158, "loss": 0.42482, "time": 0.40178} -{"mode": "train", "epoch": 120, "iter": 75650, "lr": 3e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.23494, "decode.acc_seg": 72.91131, "aux.loss_seg": 0.18394, "aux.acc_seg": 66.9545, "loss": 0.41888, "time": 0.40157} -{"mode": "train", "epoch": 120, "iter": 75700, "lr": 3e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.24245, "decode.acc_seg": 74.1113, "aux.loss_seg": 0.18849, "aux.acc_seg": 67.98855, "loss": 0.43094, "time": 0.40135} -{"mode": "train", "epoch": 121, "iter": 75750, "lr": 3e-05, "memory": 22018, "data_time": 0.17139, "decode.loss_seg": 0.22977, "decode.acc_seg": 73.86342, "aux.loss_seg": 0.1768, "aux.acc_seg": 68.09862, "loss": 0.40658, "time": 0.5645} -{"mode": "train", "epoch": 121, "iter": 75800, "lr": 3e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.2369, "decode.acc_seg": 72.58107, "aux.loss_seg": 0.18158, "aux.acc_seg": 66.76877, "loss": 0.41848, "time": 0.40043} -{"mode": "train", "epoch": 121, "iter": 75850, "lr": 3e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.23953, "decode.acc_seg": 73.04391, "aux.loss_seg": 0.17964, "aux.acc_seg": 67.4433, "loss": 0.41917, "time": 0.4005} -{"mode": "train", "epoch": 121, "iter": 75900, "lr": 3e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.23706, "decode.acc_seg": 73.2643, "aux.loss_seg": 0.18492, "aux.acc_seg": 67.30902, "loss": 0.42198, "time": 0.39968} -{"mode": "train", "epoch": 121, "iter": 75950, "lr": 3e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.24523, "decode.acc_seg": 72.3994, "aux.loss_seg": 0.18626, "aux.acc_seg": 66.439, "loss": 0.43149, "time": 0.39964} -{"mode": "train", "epoch": 121, "iter": 76000, "lr": 3e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.23948, "decode.acc_seg": 72.58888, "aux.loss_seg": 0.18435, "aux.acc_seg": 66.66063, "loss": 0.42383, "time": 0.40075} -{"mode": "train", "epoch": 121, "iter": 76050, "lr": 3e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.24125, "decode.acc_seg": 72.24795, "aux.loss_seg": 0.18397, "aux.acc_seg": 66.53351, "loss": 0.42521, "time": 0.40094} -{"mode": "train", "epoch": 121, "iter": 76100, "lr": 3e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.24164, "decode.acc_seg": 73.88886, "aux.loss_seg": 0.18862, "aux.acc_seg": 67.83091, "loss": 0.43027, "time": 0.40075} -{"mode": "train", "epoch": 121, "iter": 76150, "lr": 3e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.23957, "decode.acc_seg": 72.8488, "aux.loss_seg": 0.1825, "aux.acc_seg": 66.9728, "loss": 0.42207, "time": 0.40136} -{"mode": "train", "epoch": 121, "iter": 76200, "lr": 3e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.23739, "decode.acc_seg": 72.99381, "aux.loss_seg": 0.18079, "aux.acc_seg": 67.10834, "loss": 0.41819, "time": 0.40073} -{"mode": "train", "epoch": 121, "iter": 76250, "lr": 3e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.25262, "decode.acc_seg": 72.13788, "aux.loss_seg": 0.19202, "aux.acc_seg": 66.08858, "loss": 0.44463, "time": 0.4018} -{"mode": "train", "epoch": 121, "iter": 76300, "lr": 3e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.24953, "decode.acc_seg": 73.91982, "aux.loss_seg": 0.18859, "aux.acc_seg": 67.92621, "loss": 0.43812, "time": 0.40226} -{"mode": "train", "epoch": 121, "iter": 76350, "lr": 3e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.24607, "decode.acc_seg": 72.17602, "aux.loss_seg": 0.1913, "aux.acc_seg": 65.88553, "loss": 0.43738, "time": 0.40136} -{"mode": "train", "epoch": 122, "iter": 76400, "lr": 3e-05, "memory": 22018, "data_time": 0.17445, "decode.loss_seg": 0.22893, "decode.acc_seg": 72.39842, "aux.loss_seg": 0.17952, "aux.acc_seg": 66.51083, "loss": 0.40845, "time": 0.567} -{"mode": "train", "epoch": 122, "iter": 76450, "lr": 3e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.23474, "decode.acc_seg": 72.75701, "aux.loss_seg": 0.17859, "aux.acc_seg": 67.1788, "loss": 0.41333, "time": 0.40004} -{"mode": "train", "epoch": 122, "iter": 76500, "lr": 3e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.24019, "decode.acc_seg": 72.06821, "aux.loss_seg": 0.18666, "aux.acc_seg": 65.90777, "loss": 0.42685, "time": 0.40044} -{"mode": "train", "epoch": 122, "iter": 76550, "lr": 3e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.24364, "decode.acc_seg": 73.28747, "aux.loss_seg": 0.18789, "aux.acc_seg": 67.32983, "loss": 0.43153, "time": 0.39917} -{"mode": "train", "epoch": 122, "iter": 76600, "lr": 3e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.2434, "decode.acc_seg": 72.53862, "aux.loss_seg": 0.18584, "aux.acc_seg": 66.48824, "loss": 0.42924, "time": 0.39959} -{"mode": "train", "epoch": 122, "iter": 76650, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.25267, "decode.acc_seg": 73.15174, "aux.loss_seg": 0.1905, "aux.acc_seg": 67.1349, "loss": 0.44317, "time": 0.39982} -{"mode": "train", "epoch": 122, "iter": 76700, "lr": 3e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.24836, "decode.acc_seg": 72.61606, "aux.loss_seg": 0.18992, "aux.acc_seg": 66.52659, "loss": 0.43828, "time": 0.40032} -{"mode": "train", "epoch": 122, "iter": 76750, "lr": 3e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.23826, "decode.acc_seg": 72.5867, "aux.loss_seg": 0.18462, "aux.acc_seg": 66.45064, "loss": 0.42288, "time": 0.40009} -{"mode": "train", "epoch": 122, "iter": 76800, "lr": 3e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.23817, "decode.acc_seg": 73.18117, "aux.loss_seg": 0.17929, "aux.acc_seg": 67.51431, "loss": 0.41746, "time": 0.40032} -{"mode": "train", "epoch": 122, "iter": 76850, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.24387, "decode.acc_seg": 72.28843, "aux.loss_seg": 0.18666, "aux.acc_seg": 66.26559, "loss": 0.43052, "time": 0.39969} -{"mode": "train", "epoch": 122, "iter": 76900, "lr": 3e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.24367, "decode.acc_seg": 73.28226, "aux.loss_seg": 0.19183, "aux.acc_seg": 66.97519, "loss": 0.43549, "time": 0.40132} -{"mode": "train", "epoch": 122, "iter": 76950, "lr": 3e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.2316, "decode.acc_seg": 73.8149, "aux.loss_seg": 0.17795, "aux.acc_seg": 68.01966, "loss": 0.40955, "time": 0.40164} -{"mode": "train", "epoch": 123, "iter": 77000, "lr": 3e-05, "memory": 22018, "data_time": 0.17427, "decode.loss_seg": 0.24975, "decode.acc_seg": 73.10614, "aux.loss_seg": 0.19447, "aux.acc_seg": 66.95422, "loss": 0.44422, "time": 0.56772} -{"mode": "train", "epoch": 123, "iter": 77050, "lr": 3e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.23715, "decode.acc_seg": 73.15786, "aux.loss_seg": 0.18269, "aux.acc_seg": 67.13554, "loss": 0.41985, "time": 0.40057} -{"mode": "train", "epoch": 123, "iter": 77100, "lr": 3e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.23982, "decode.acc_seg": 73.49991, "aux.loss_seg": 0.18238, "aux.acc_seg": 67.71157, "loss": 0.4222, "time": 0.40059} -{"mode": "train", "epoch": 123, "iter": 77150, "lr": 3e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.23153, "decode.acc_seg": 72.43125, "aux.loss_seg": 0.18055, "aux.acc_seg": 66.68819, "loss": 0.41208, "time": 0.40072} -{"mode": "train", "epoch": 123, "iter": 77200, "lr": 3e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.22788, "decode.acc_seg": 73.43121, "aux.loss_seg": 0.17909, "aux.acc_seg": 67.54429, "loss": 0.40697, "time": 0.4009} -{"mode": "train", "epoch": 123, "iter": 77250, "lr": 3e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.24148, "decode.acc_seg": 73.7188, "aux.loss_seg": 0.18557, "aux.acc_seg": 67.79529, "loss": 0.42704, "time": 0.40038} -{"mode": "train", "epoch": 123, "iter": 77300, "lr": 3e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.23007, "decode.acc_seg": 71.88014, "aux.loss_seg": 0.18023, "aux.acc_seg": 66.05709, "loss": 0.4103, "time": 0.40111} -{"mode": "train", "epoch": 123, "iter": 77350, "lr": 3e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.23703, "decode.acc_seg": 72.61354, "aux.loss_seg": 0.18865, "aux.acc_seg": 66.37126, "loss": 0.42567, "time": 0.40033} -{"mode": "train", "epoch": 123, "iter": 77400, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.23157, "decode.acc_seg": 72.64179, "aux.loss_seg": 0.17135, "aux.acc_seg": 67.36045, "loss": 0.40292, "time": 0.40086} -{"mode": "train", "epoch": 123, "iter": 77450, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.23916, "decode.acc_seg": 72.67553, "aux.loss_seg": 0.18622, "aux.acc_seg": 66.54098, "loss": 0.42538, "time": 0.40075} -{"mode": "train", "epoch": 123, "iter": 77500, "lr": 3e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.24306, "decode.acc_seg": 72.15262, "aux.loss_seg": 0.18636, "aux.acc_seg": 66.34976, "loss": 0.42942, "time": 0.40155} -{"mode": "train", "epoch": 123, "iter": 77550, "lr": 3e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.24131, "decode.acc_seg": 72.59234, "aux.loss_seg": 0.18202, "aux.acc_seg": 66.91759, "loss": 0.42333, "time": 0.40108} -{"mode": "train", "epoch": 123, "iter": 77600, "lr": 3e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.248, "decode.acc_seg": 73.22113, "aux.loss_seg": 0.19034, "aux.acc_seg": 67.22911, "loss": 0.43834, "time": 0.40236} -{"mode": "train", "epoch": 124, "iter": 77650, "lr": 3e-05, "memory": 22018, "data_time": 0.1712, "decode.loss_seg": 0.24068, "decode.acc_seg": 73.49528, "aux.loss_seg": 0.18613, "aux.acc_seg": 67.5048, "loss": 0.42681, "time": 0.56364} -{"mode": "train", "epoch": 124, "iter": 77700, "lr": 3e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.22935, "decode.acc_seg": 72.21769, "aux.loss_seg": 0.17687, "aux.acc_seg": 66.51877, "loss": 0.40622, "time": 0.40058} -{"mode": "train", "epoch": 124, "iter": 77750, "lr": 3e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.23833, "decode.acc_seg": 73.27417, "aux.loss_seg": 0.18886, "aux.acc_seg": 67.10597, "loss": 0.42719, "time": 0.40157} -{"mode": "train", "epoch": 124, "iter": 77800, "lr": 3e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.23464, "decode.acc_seg": 72.63762, "aux.loss_seg": 0.17973, "aux.acc_seg": 66.93066, "loss": 0.41437, "time": 0.40075} -{"mode": "train", "epoch": 124, "iter": 77850, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.23304, "decode.acc_seg": 73.18478, "aux.loss_seg": 0.18294, "aux.acc_seg": 67.18448, "loss": 0.41598, "time": 0.40174} -{"mode": "train", "epoch": 124, "iter": 77900, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.24251, "decode.acc_seg": 73.32641, "aux.loss_seg": 0.18382, "aux.acc_seg": 67.63717, "loss": 0.42633, "time": 0.40038} -{"mode": "train", "epoch": 124, "iter": 77950, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.23401, "decode.acc_seg": 74.03985, "aux.loss_seg": 0.17986, "aux.acc_seg": 68.32597, "loss": 0.41387, "time": 0.40041} -{"mode": "train", "epoch": 124, "iter": 78000, "lr": 3e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.23509, "decode.acc_seg": 72.85089, "aux.loss_seg": 0.17872, "aux.acc_seg": 67.27369, "loss": 0.41381, "time": 0.40113} -{"mode": "train", "epoch": 124, "iter": 78050, "lr": 3e-05, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.23477, "decode.acc_seg": 72.4983, "aux.loss_seg": 0.18027, "aux.acc_seg": 66.58651, "loss": 0.41503, "time": 0.40289} -{"mode": "train", "epoch": 124, "iter": 78100, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.24188, "decode.acc_seg": 73.26331, "aux.loss_seg": 0.18476, "aux.acc_seg": 67.27492, "loss": 0.42664, "time": 0.40306} -{"mode": "train", "epoch": 124, "iter": 78150, "lr": 3e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.2296, "decode.acc_seg": 72.78285, "aux.loss_seg": 0.18024, "aux.acc_seg": 66.78436, "loss": 0.40984, "time": 0.40315} -{"mode": "train", "epoch": 124, "iter": 78200, "lr": 3e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.24048, "decode.acc_seg": 72.50427, "aux.loss_seg": 0.18837, "aux.acc_seg": 66.32663, "loss": 0.42885, "time": 0.40234} -{"mode": "train", "epoch": 125, "iter": 78250, "lr": 3e-05, "memory": 22018, "data_time": 0.17149, "decode.loss_seg": 0.24197, "decode.acc_seg": 73.35012, "aux.loss_seg": 0.18409, "aux.acc_seg": 67.33904, "loss": 0.42605, "time": 0.56617} -{"mode": "train", "epoch": 125, "iter": 78300, "lr": 3e-05, "memory": 22018, "data_time": 0.00986, "decode.loss_seg": 0.23731, "decode.acc_seg": 73.48023, "aux.loss_seg": 0.18464, "aux.acc_seg": 67.65709, "loss": 0.42195, "time": 0.4023} -{"mode": "train", "epoch": 125, "iter": 78350, "lr": 3e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.2321, "decode.acc_seg": 72.75452, "aux.loss_seg": 0.17739, "aux.acc_seg": 67.02732, "loss": 0.40949, "time": 0.40188} -{"mode": "train", "epoch": 125, "iter": 78400, "lr": 3e-05, "memory": 22018, "data_time": 0.01042, "decode.loss_seg": 0.23082, "decode.acc_seg": 72.28456, "aux.loss_seg": 0.18125, "aux.acc_seg": 66.40522, "loss": 0.41208, "time": 0.40144} -{"mode": "train", "epoch": 125, "iter": 78450, "lr": 3e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.22497, "decode.acc_seg": 72.8125, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.24381, "loss": 0.39683, "time": 0.40185} -{"mode": "train", "epoch": 125, "iter": 78500, "lr": 3e-05, "memory": 22018, "data_time": 0.01013, "decode.loss_seg": 0.23819, "decode.acc_seg": 73.496, "aux.loss_seg": 0.19038, "aux.acc_seg": 67.01992, "loss": 0.42857, "time": 0.40151} -{"mode": "train", "epoch": 125, "iter": 78550, "lr": 3e-05, "memory": 22018, "data_time": 0.01027, "decode.loss_seg": 0.23013, "decode.acc_seg": 72.93882, "aux.loss_seg": 0.17761, "aux.acc_seg": 67.27662, "loss": 0.40774, "time": 0.40158} -{"mode": "train", "epoch": 125, "iter": 78600, "lr": 3e-05, "memory": 22018, "data_time": 0.01026, "decode.loss_seg": 0.23113, "decode.acc_seg": 72.09191, "aux.loss_seg": 0.17829, "aux.acc_seg": 66.26569, "loss": 0.40942, "time": 0.40103} -{"mode": "train", "epoch": 125, "iter": 78650, "lr": 3e-05, "memory": 22018, "data_time": 0.01002, "decode.loss_seg": 0.24227, "decode.acc_seg": 72.50347, "aux.loss_seg": 0.18594, "aux.acc_seg": 66.62155, "loss": 0.42821, "time": 0.40189} -{"mode": "train", "epoch": 125, "iter": 78700, "lr": 3e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.25343, "decode.acc_seg": 72.89077, "aux.loss_seg": 0.19726, "aux.acc_seg": 66.55908, "loss": 0.45069, "time": 0.40223} -{"mode": "train", "epoch": 125, "iter": 78750, "lr": 3e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.23858, "decode.acc_seg": 72.27984, "aux.loss_seg": 0.18355, "aux.acc_seg": 66.49422, "loss": 0.42213, "time": 0.4017} -{"mode": "train", "epoch": 125, "iter": 78800, "lr": 3e-05, "memory": 22018, "data_time": 0.01072, "decode.loss_seg": 0.23521, "decode.acc_seg": 73.12461, "aux.loss_seg": 0.18299, "aux.acc_seg": 67.28028, "loss": 0.4182, "time": 0.4022} -{"mode": "train", "epoch": 125, "iter": 78850, "lr": 3e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.23706, "decode.acc_seg": 73.70465, "aux.loss_seg": 0.18204, "aux.acc_seg": 67.75939, "loss": 0.4191, "time": 0.40181} -{"mode": "train", "epoch": 126, "iter": 78900, "lr": 3e-05, "memory": 22018, "data_time": 0.17259, "decode.loss_seg": 0.2333, "decode.acc_seg": 73.32855, "aux.loss_seg": 0.18528, "aux.acc_seg": 67.19861, "loss": 0.41858, "time": 0.56542} -{"mode": "train", "epoch": 126, "iter": 78950, "lr": 3e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.23323, "decode.acc_seg": 73.68972, "aux.loss_seg": 0.18149, "aux.acc_seg": 67.84804, "loss": 0.41471, "time": 0.40174} -{"mode": "train", "epoch": 126, "iter": 79000, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.23966, "decode.acc_seg": 73.27542, "aux.loss_seg": 0.18619, "aux.acc_seg": 67.20736, "loss": 0.42585, "time": 0.40186} -{"mode": "train", "epoch": 126, "iter": 79050, "lr": 3e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.23324, "decode.acc_seg": 73.07158, "aux.loss_seg": 0.18396, "aux.acc_seg": 67.03902, "loss": 0.4172, "time": 0.40243} -{"mode": "train", "epoch": 126, "iter": 79100, "lr": 3e-05, "memory": 22018, "data_time": 0.01004, "decode.loss_seg": 0.23661, "decode.acc_seg": 73.98355, "aux.loss_seg": 0.18644, "aux.acc_seg": 67.90453, "loss": 0.42304, "time": 0.40151} -{"mode": "train", "epoch": 126, "iter": 79150, "lr": 3e-05, "memory": 22018, "data_time": 0.01052, "decode.loss_seg": 0.23811, "decode.acc_seg": 73.77206, "aux.loss_seg": 0.18253, "aux.acc_seg": 67.98665, "loss": 0.42064, "time": 0.40205} -{"mode": "train", "epoch": 126, "iter": 79200, "lr": 3e-05, "memory": 22018, "data_time": 0.01069, "decode.loss_seg": 0.2359, "decode.acc_seg": 72.42608, "aux.loss_seg": 0.17817, "aux.acc_seg": 66.85888, "loss": 0.41407, "time": 0.40188} -{"mode": "train", "epoch": 126, "iter": 79250, "lr": 3e-05, "memory": 22018, "data_time": 0.01046, "decode.loss_seg": 0.24079, "decode.acc_seg": 73.05767, "aux.loss_seg": 0.18494, "aux.acc_seg": 67.18276, "loss": 0.42574, "time": 0.40187} -{"mode": "train", "epoch": 126, "iter": 79300, "lr": 3e-05, "memory": 22018, "data_time": 0.01035, "decode.loss_seg": 0.23517, "decode.acc_seg": 72.20165, "aux.loss_seg": 0.18228, "aux.acc_seg": 66.18517, "loss": 0.41745, "time": 0.40205} -{"mode": "train", "epoch": 126, "iter": 79350, "lr": 3e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.23613, "decode.acc_seg": 72.43765, "aux.loss_seg": 0.18, "aux.acc_seg": 66.45718, "loss": 0.41613, "time": 0.40156} -{"mode": "train", "epoch": 126, "iter": 79400, "lr": 3e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.24021, "decode.acc_seg": 72.89623, "aux.loss_seg": 0.18118, "aux.acc_seg": 67.08481, "loss": 0.42139, "time": 0.40106} -{"mode": "train", "epoch": 126, "iter": 79450, "lr": 3e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.22883, "decode.acc_seg": 73.31928, "aux.loss_seg": 0.17985, "aux.acc_seg": 67.3253, "loss": 0.40868, "time": 0.40095} -{"mode": "train", "epoch": 126, "iter": 79500, "lr": 3e-05, "memory": 22018, "data_time": 0.01076, "decode.loss_seg": 0.23729, "decode.acc_seg": 72.36057, "aux.loss_seg": 0.18129, "aux.acc_seg": 66.64147, "loss": 0.41858, "time": 0.40196} -{"mode": "train", "epoch": 127, "iter": 79550, "lr": 3e-05, "memory": 22018, "data_time": 0.17518, "decode.loss_seg": 0.23123, "decode.acc_seg": 72.92634, "aux.loss_seg": 0.17847, "aux.acc_seg": 67.09528, "loss": 0.4097, "time": 0.56634} -{"mode": "train", "epoch": 127, "iter": 79600, "lr": 3e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.23569, "decode.acc_seg": 73.17675, "aux.loss_seg": 0.18141, "aux.acc_seg": 67.31413, "loss": 0.4171, "time": 0.40014} -{"mode": "train", "epoch": 127, "iter": 79650, "lr": 3e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.23579, "decode.acc_seg": 73.29498, "aux.loss_seg": 0.17828, "aux.acc_seg": 67.45874, "loss": 0.41407, "time": 0.39989} -{"mode": "train", "epoch": 127, "iter": 79700, "lr": 3e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.23139, "decode.acc_seg": 73.42974, "aux.loss_seg": 0.18274, "aux.acc_seg": 67.56343, "loss": 0.41413, "time": 0.40038} -{"mode": "train", "epoch": 127, "iter": 79750, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.23228, "decode.acc_seg": 73.03238, "aux.loss_seg": 0.18136, "aux.acc_seg": 67.01341, "loss": 0.41364, "time": 0.4012} -{"mode": "train", "epoch": 127, "iter": 79800, "lr": 3e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.23701, "decode.acc_seg": 72.65007, "aux.loss_seg": 0.18223, "aux.acc_seg": 66.78393, "loss": 0.41924, "time": 0.40096} -{"mode": "train", "epoch": 127, "iter": 79850, "lr": 3e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.23937, "decode.acc_seg": 73.49993, "aux.loss_seg": 0.1826, "aux.acc_seg": 67.74135, "loss": 0.42196, "time": 0.40116} -{"mode": "train", "epoch": 127, "iter": 79900, "lr": 3e-05, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.24363, "decode.acc_seg": 73.56669, "aux.loss_seg": 0.18544, "aux.acc_seg": 67.67613, "loss": 0.42907, "time": 0.40146} -{"mode": "train", "epoch": 127, "iter": 79950, "lr": 3e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.23294, "decode.acc_seg": 72.57034, "aux.loss_seg": 0.18084, "aux.acc_seg": 66.88136, "loss": 0.41379, "time": 0.40099} -{"mode": "val", "epoch": 127, "iter": 80000, "lr": 3e-05, "mIoU": 0.4564, "mAcc": 0.5789, "aAcc": 0.8139, "IoU.wall": 0.7499, "IoU.building": 0.8074, "IoU.sky": 0.9371, "IoU.floor": 0.8029, "IoU.tree": 0.7228, "IoU.ceiling": 0.8316, "IoU.road": 0.8187, "IoU.bed ": 0.8667, "IoU.windowpane": 0.5878, "IoU.grass": 0.684, "IoU.cabinet": 0.5673, "IoU.sidewalk": 0.6332, "IoU.person": 0.7561, "IoU.earth": 0.3259, "IoU.door": 0.4479, "IoU.table": 0.5534, "IoU.mountain": 0.5919, "IoU.plant": 0.4957, "IoU.curtain": 0.707, "IoU.chair": 0.507, "IoU.car": 0.8114, "IoU.water": 0.516, "IoU.painting": 0.6942, "IoU.sofa": 0.5954, "IoU.shelf": 0.3842, "IoU.house": 0.4005, "IoU.sea": 0.5282, "IoU.mirror": 0.5763, "IoU.rug": 0.6047, "IoU.field": 0.3091, "IoU.armchair": 0.3667, "IoU.seat": 0.5629, "IoU.fence": 0.3954, "IoU.desk": 0.441, "IoU.rock": 0.4615, "IoU.wardrobe": 0.5137, "IoU.lamp": 0.563, "IoU.bathtub": 0.7612, "IoU.railing": 0.3279, "IoU.cushion": 0.4932, "IoU.base": 0.2641, "IoU.box": 0.228, "IoU.column": 0.4176, "IoU.signboard": 0.3315, "IoU.chest of drawers": 0.3518, "IoU.counter": 0.273, "IoU.sand": 0.3626, "IoU.sink": 0.6735, "IoU.skyscraper": 0.6663, "IoU.fireplace": NaN, "IoU.refrigerator": 0.62, "IoU.grandstand": 0.3396, "IoU.path": 0.1911, "IoU.stairs": 0.2766, "IoU.runway": 0.6945, "IoU.case": 0.3913, "IoU.pool table": 0.9065, "IoU.pillow": 0.5535, "IoU.screen door": 0.6314, "IoU.stairway": 0.3031, "IoU.river": 0.0735, "IoU.bridge": 0.578, "IoU.bookcase": 0.3621, "IoU.blind": NaN, "IoU.coffee table": 0.5269, "IoU.toilet": 0.8098, "IoU.flower": 0.3663, "IoU.book": 0.4616, "IoU.hill": 0.1696, "IoU.bench": 0.3794, "IoU.countertop": 0.5257, "IoU.stove": 0.6762, "IoU.palm": 0.4121, "IoU.kitchen island": 0.2861, "IoU.computer": 0.5867, "IoU.swivel chair": 0.4293, "IoU.boat": 0.5839, "IoU.bar": 0.3148, "IoU.arcade machine": 0.4716, "IoU.hovel": 0.3243, "IoU.bus": 0.7927, "IoU.towel": 0.5681, "IoU.light": 0.5412, "IoU.truck": 0.3419, "IoU.tower": 0.0613, "IoU.chandelier": 0.6208, "IoU.awning": 0.3324, "IoU.streetlight": 0.1944, "IoU.booth": 0.4808, "IoU.television receiver": NaN, "IoU.airplane": 0.5253, "IoU.dirt track": 0.1957, "IoU.apparel": 0.3389, "IoU.pole": 0.15, "IoU.land": 0.0029, "IoU.bannister": 0.1243, "IoU.escalator": 0.259, "IoU.ottoman": 0.3576, "IoU.bottle": NaN, "IoU.buffet": 0.4681, "IoU.poster": 0.3096, "IoU.stage": 0.1289, "IoU.van": 0.3912, "IoU.ship": 0.6564, "IoU.fountain": 0.204, "IoU.conveyer belt": 0.7619, "IoU.canopy": 0.1985, "IoU.washer": 0.7291, "IoU.plaything": 0.1662, "IoU.swimming pool": 0.6744, "IoU.stool": 0.4251, "IoU.barrel": 0.3318, "IoU.basket": 0.2381, "IoU.waterfall": 0.6379, "IoU.tent": 0.9348, "IoU.bag": 0.1016, "IoU.minibike": 0.634, "IoU.cradle": NaN, "IoU.oven": 0.378, "IoU.ball": 0.3938, "IoU.food": 0.5275, "IoU.step": 0.1424, "IoU.tank": 0.5164, "IoU.trade name": 0.2415, "IoU.microwave": 0.6962, "IoU.pot": 0.4604, "IoU.animal": NaN, "IoU.bicycle": 0.5121, "IoU.lake": 0.484, "IoU.dishwasher": 0.4102, "IoU.screen": 0.6739, "IoU.blanket": 0.116, "IoU.sculpture": 0.5498, "IoU.hood": 0.5203, "IoU.sconce": 0.3842, "IoU.vase": 0.3038, "IoU.traffic light": 0.2326, "IoU.tray": 0.0952, "IoU.ashcan": 0.3476, "IoU.fan": 0.5096, "IoU.pier": 0.5887, "IoU.crt screen": 0.0992, "IoU.plate": 0.5173, "IoU.monitor": 0.0497, "IoU.bulletin board": 0.3137, "IoU.shower": 0.0119, "IoU.radiator": 0.4727, "IoU.glass": 0.1142, "IoU.clock": 0.3816, "IoU.flag": 0.2877, "Acc.wall": 0.8705, "Acc.building": 0.9192, "Acc.sky": 0.9728, "Acc.floor": 0.8907, "Acc.tree": 0.858, "Acc.ceiling": 0.9067, "Acc.road": 0.8791, "Acc.bed ": 0.9407, "Acc.windowpane": 0.7649, "Acc.grass": 0.8416, "Acc.cabinet": 0.726, "Acc.sidewalk": 0.8072, "Acc.person": 0.9077, "Acc.earth": 0.435, "Acc.door": 0.6039, "Acc.table": 0.7298, "Acc.mountain": 0.7499, "Acc.plant": 0.6171, "Acc.curtain": 0.8296, "Acc.chair": 0.657, "Acc.car": 0.9172, "Acc.water": 0.6614, "Acc.painting": 0.8367, "Acc.sofa": 0.7932, "Acc.shelf": 0.5505, "Acc.house": 0.5473, "Acc.sea": 0.7472, "Acc.mirror": 0.6538, "Acc.rug": 0.6896, "Acc.field": 0.5132, "Acc.armchair": 0.5813, "Acc.seat": 0.7479, "Acc.fence": 0.5098, "Acc.desk": 0.6744, "Acc.rock": 0.7666, "Acc.wardrobe": 0.6495, "Acc.lamp": 0.7123, "Acc.bathtub": 0.8298, "Acc.railing": 0.4473, "Acc.cushion": 0.6508, "Acc.base": 0.3284, "Acc.box": 0.316, "Acc.column": 0.5547, "Acc.signboard": 0.4564, "Acc.chest of drawers": 0.548, "Acc.counter": 0.3574, "Acc.sand": 0.5546, "Acc.sink": 0.7854, "Acc.skyscraper": 0.8303, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7377, "Acc.grandstand": 0.6367, "Acc.path": 0.2819, "Acc.stairs": 0.3338, "Acc.runway": 0.916, "Acc.case": 0.525, "Acc.pool table": 0.9593, "Acc.pillow": 0.7092, "Acc.screen door": 0.7124, "Acc.stairway": 0.4229, "Acc.river": 0.1426, "Acc.bridge": 0.7731, "Acc.bookcase": 0.4264, "Acc.blind": NaN, "Acc.coffee table": 0.7747, "Acc.toilet": 0.8887, "Acc.flower": 0.5715, "Acc.book": 0.7147, "Acc.hill": 0.1953, "Acc.bench": 0.4854, "Acc.countertop": 0.6744, "Acc.stove": 0.7967, "Acc.palm": 0.6897, "Acc.kitchen island": 0.5224, "Acc.computer": 0.7079, "Acc.swivel chair": 0.6256, "Acc.boat": 0.7254, "Acc.bar": 0.3871, "Acc.arcade machine": 0.4977, "Acc.hovel": 0.3903, "Acc.bus": 0.907, "Acc.towel": 0.7129, "Acc.light": 0.637, "Acc.truck": 0.4491, "Acc.tower": 0.0738, "Acc.chandelier": 0.8078, "Acc.awning": 0.3853, "Acc.streetlight": 0.2531, "Acc.booth": 0.5976, "Acc.television receiver": NaN, "Acc.airplane": 0.6577, "Acc.dirt track": 0.3348, "Acc.apparel": 0.4834, "Acc.pole": 0.2308, "Acc.land": 0.0042, "Acc.bannister": 0.1592, "Acc.escalator": 0.3036, "Acc.ottoman": 0.5426, "Acc.bottle": NaN, "Acc.buffet": 0.5517, "Acc.poster": 0.3814, "Acc.stage": 0.2566, "Acc.van": 0.4863, "Acc.ship": 0.9075, "Acc.fountain": 0.2202, "Acc.conveyer belt": 0.8854, "Acc.canopy": 0.2337, "Acc.washer": 0.7501, "Acc.plaything": 0.2748, "Acc.swimming pool": 0.7598, "Acc.stool": 0.5222, "Acc.barrel": 0.6433, "Acc.basket": 0.3671, "Acc.waterfall": 0.8594, "Acc.tent": 0.9848, "Acc.bag": 0.1222, "Acc.minibike": 0.7564, "Acc.cradle": NaN, "Acc.oven": 0.5753, "Acc.ball": 0.4901, "Acc.food": 0.6067, "Acc.step": 0.1734, "Acc.tank": 0.5427, "Acc.trade name": 0.2813, "Acc.microwave": 0.77, "Acc.pot": 0.5479, "Acc.animal": NaN, "Acc.bicycle": 0.7409, "Acc.lake": 0.562, "Acc.dishwasher": 0.4926, "Acc.screen": 0.7896, "Acc.blanket": 0.1306, "Acc.sculpture": 0.7021, "Acc.hood": 0.562, "Acc.sconce": 0.479, "Acc.vase": 0.4693, "Acc.traffic light": 0.3525, "Acc.tray": 0.161, "Acc.ashcan": 0.4692, "Acc.fan": 0.6797, "Acc.pier": 0.8701, "Acc.crt screen": 0.271, "Acc.plate": 0.6931, "Acc.monitor": 0.0547, "Acc.bulletin board": 0.536, "Acc.shower": 0.015, "Acc.radiator": 0.5578, "Acc.glass": 0.1291, "Acc.clock": 0.4678, "Acc.flag": 0.3475} -{"mode": "train", "epoch": 127, "iter": 80050, "lr": 3e-05, "memory": 22018, "data_time": 1.68806, "decode.loss_seg": 0.23511, "decode.acc_seg": 74.33875, "aux.loss_seg": 0.18133, "aux.acc_seg": 68.4812, "loss": 0.41644, "time": 2.08371} -{"mode": "train", "epoch": 127, "iter": 80100, "lr": 3e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.23896, "decode.acc_seg": 72.56558, "aux.loss_seg": 0.18653, "aux.acc_seg": 66.26551, "loss": 0.42549, "time": 0.40222} -{"mode": "train", "epoch": 128, "iter": 80150, "lr": 3e-05, "memory": 22018, "data_time": 0.17759, "decode.loss_seg": 0.22597, "decode.acc_seg": 73.05623, "aux.loss_seg": 0.1756, "aux.acc_seg": 67.24373, "loss": 0.40157, "time": 0.57153} -{"mode": "train", "epoch": 128, "iter": 80200, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.236, "decode.acc_seg": 74.03072, "aux.loss_seg": 0.18208, "aux.acc_seg": 68.11003, "loss": 0.41807, "time": 0.40389} -{"mode": "train", "epoch": 128, "iter": 80250, "lr": 3e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.235, "decode.acc_seg": 73.23414, "aux.loss_seg": 0.18054, "aux.acc_seg": 67.39044, "loss": 0.41554, "time": 0.40339} -{"mode": "train", "epoch": 128, "iter": 80300, "lr": 3e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.23509, "decode.acc_seg": 72.59281, "aux.loss_seg": 0.18213, "aux.acc_seg": 66.59659, "loss": 0.41721, "time": 0.40334} -{"mode": "train", "epoch": 128, "iter": 80350, "lr": 3e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.23655, "decode.acc_seg": 72.63462, "aux.loss_seg": 0.18269, "aux.acc_seg": 66.66655, "loss": 0.41925, "time": 0.40375} -{"mode": "train", "epoch": 128, "iter": 80400, "lr": 3e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.22806, "decode.acc_seg": 72.92925, "aux.loss_seg": 0.17985, "aux.acc_seg": 66.92991, "loss": 0.40791, "time": 0.40325} -{"mode": "train", "epoch": 128, "iter": 80450, "lr": 3e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.24072, "decode.acc_seg": 72.90154, "aux.loss_seg": 0.18855, "aux.acc_seg": 66.55183, "loss": 0.42926, "time": 0.40343} -{"mode": "train", "epoch": 128, "iter": 80500, "lr": 3e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.22408, "decode.acc_seg": 73.16855, "aux.loss_seg": 0.17517, "aux.acc_seg": 67.4401, "loss": 0.39926, "time": 0.40311} -{"mode": "train", "epoch": 128, "iter": 80550, "lr": 3e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.23975, "decode.acc_seg": 72.70571, "aux.loss_seg": 0.18219, "aux.acc_seg": 67.00995, "loss": 0.42194, "time": 0.40144} -{"mode": "train", "epoch": 128, "iter": 80600, "lr": 3e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.24004, "decode.acc_seg": 73.48767, "aux.loss_seg": 0.18552, "aux.acc_seg": 67.3105, "loss": 0.42556, "time": 0.40379} -{"mode": "train", "epoch": 128, "iter": 80650, "lr": 3e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.23451, "decode.acc_seg": 72.5142, "aux.loss_seg": 0.18212, "aux.acc_seg": 66.64328, "loss": 0.41663, "time": 0.40262} -{"mode": "train", "epoch": 128, "iter": 80700, "lr": 3e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.23232, "decode.acc_seg": 73.23687, "aux.loss_seg": 0.17846, "aux.acc_seg": 67.41554, "loss": 0.41079, "time": 0.40151} -{"mode": "train", "epoch": 128, "iter": 80750, "lr": 3e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.23556, "decode.acc_seg": 72.65856, "aux.loss_seg": 0.18525, "aux.acc_seg": 66.34081, "loss": 0.42081, "time": 0.40208} -{"mode": "train", "epoch": 129, "iter": 80800, "lr": 3e-05, "memory": 22018, "data_time": 0.17427, "decode.loss_seg": 0.2291, "decode.acc_seg": 72.66977, "aux.loss_seg": 0.17437, "aux.acc_seg": 67.04439, "loss": 0.40347, "time": 0.56678} -{"mode": "train", "epoch": 129, "iter": 80850, "lr": 3e-05, "memory": 22018, "data_time": 0.00986, "decode.loss_seg": 0.22719, "decode.acc_seg": 73.66398, "aux.loss_seg": 0.17583, "aux.acc_seg": 67.8761, "loss": 0.40302, "time": 0.40144} -{"mode": "train", "epoch": 129, "iter": 80900, "lr": 3e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.22969, "decode.acc_seg": 72.37162, "aux.loss_seg": 0.17899, "aux.acc_seg": 66.50505, "loss": 0.40869, "time": 0.40172} -{"mode": "train", "epoch": 129, "iter": 80950, "lr": 3e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.23379, "decode.acc_seg": 72.94017, "aux.loss_seg": 0.18587, "aux.acc_seg": 66.86721, "loss": 0.41967, "time": 0.40334} -{"mode": "train", "epoch": 129, "iter": 81000, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.23905, "decode.acc_seg": 73.46085, "aux.loss_seg": 0.18101, "aux.acc_seg": 67.76239, "loss": 0.42007, "time": 0.40459} -{"mode": "train", "epoch": 129, "iter": 81050, "lr": 3e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.2383, "decode.acc_seg": 72.69556, "aux.loss_seg": 0.18337, "aux.acc_seg": 66.89205, "loss": 0.42167, "time": 0.4042} -{"mode": "train", "epoch": 129, "iter": 81100, "lr": 3e-05, "memory": 22018, "data_time": 0.01017, "decode.loss_seg": 0.23014, "decode.acc_seg": 72.7008, "aux.loss_seg": 0.17941, "aux.acc_seg": 66.78885, "loss": 0.40955, "time": 0.4034} -{"mode": "train", "epoch": 129, "iter": 81150, "lr": 3e-05, "memory": 22018, "data_time": 0.00982, "decode.loss_seg": 0.21916, "decode.acc_seg": 73.32117, "aux.loss_seg": 0.17436, "aux.acc_seg": 67.34874, "loss": 0.39352, "time": 0.40372} -{"mode": "train", "epoch": 129, "iter": 81200, "lr": 3e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.22829, "decode.acc_seg": 73.55756, "aux.loss_seg": 0.17552, "aux.acc_seg": 67.96984, "loss": 0.40381, "time": 0.40397} -{"mode": "train", "epoch": 129, "iter": 81250, "lr": 3e-05, "memory": 22018, "data_time": 0.0093, "decode.loss_seg": 0.23915, "decode.acc_seg": 73.23682, "aux.loss_seg": 0.18814, "aux.acc_seg": 67.06582, "loss": 0.42729, "time": 0.40327} -{"mode": "train", "epoch": 129, "iter": 81300, "lr": 3e-05, "memory": 22018, "data_time": 0.00987, "decode.loss_seg": 0.24359, "decode.acc_seg": 72.61056, "aux.loss_seg": 0.18406, "aux.acc_seg": 66.80171, "loss": 0.42765, "time": 0.40325} -{"mode": "train", "epoch": 129, "iter": 81350, "lr": 3e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.2197, "decode.acc_seg": 72.79388, "aux.loss_seg": 0.17072, "aux.acc_seg": 67.19588, "loss": 0.39042, "time": 0.40454} -{"mode": "train", "epoch": 129, "iter": 81400, "lr": 3e-05, "memory": 22018, "data_time": 0.17389, "decode.loss_seg": 0.24324, "decode.acc_seg": 72.7845, "aux.loss_seg": 0.18762, "aux.acc_seg": 66.64323, "loss": 0.43086, "time": 0.56914} -{"mode": "train", "epoch": 130, "iter": 81450, "lr": 3e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.23652, "decode.acc_seg": 73.70359, "aux.loss_seg": 0.18213, "aux.acc_seg": 67.74373, "loss": 0.41865, "time": 0.40159} -{"mode": "train", "epoch": 130, "iter": 81500, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.23712, "decode.acc_seg": 72.34812, "aux.loss_seg": 0.18076, "aux.acc_seg": 66.48977, "loss": 0.41788, "time": 0.40034} -{"mode": "train", "epoch": 130, "iter": 81550, "lr": 3e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.23122, "decode.acc_seg": 72.91295, "aux.loss_seg": 0.18035, "aux.acc_seg": 66.93717, "loss": 0.41158, "time": 0.40192} -{"mode": "train", "epoch": 130, "iter": 81600, "lr": 3e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.22731, "decode.acc_seg": 73.72013, "aux.loss_seg": 0.17961, "aux.acc_seg": 67.8233, "loss": 0.40692, "time": 0.40364} -{"mode": "train", "epoch": 130, "iter": 81650, "lr": 3e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.22549, "decode.acc_seg": 73.52709, "aux.loss_seg": 0.17448, "aux.acc_seg": 67.79046, "loss": 0.39997, "time": 0.40146} -{"mode": "train", "epoch": 130, "iter": 81700, "lr": 3e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.23462, "decode.acc_seg": 72.8139, "aux.loss_seg": 0.17592, "aux.acc_seg": 67.26846, "loss": 0.41054, "time": 0.40292} -{"mode": "train", "epoch": 130, "iter": 81750, "lr": 3e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.22698, "decode.acc_seg": 73.08095, "aux.loss_seg": 0.18102, "aux.acc_seg": 66.95279, "loss": 0.408, "time": 0.40215} -{"mode": "train", "epoch": 130, "iter": 81800, "lr": 3e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.23515, "decode.acc_seg": 73.54808, "aux.loss_seg": 0.18181, "aux.acc_seg": 67.68075, "loss": 0.41696, "time": 0.40052} -{"mode": "train", "epoch": 130, "iter": 81850, "lr": 3e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.23246, "decode.acc_seg": 72.55054, "aux.loss_seg": 0.18062, "aux.acc_seg": 66.7265, "loss": 0.41309, "time": 0.40188} -{"mode": "train", "epoch": 130, "iter": 81900, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.23509, "decode.acc_seg": 74.26509, "aux.loss_seg": 0.18088, "aux.acc_seg": 68.45708, "loss": 0.41597, "time": 0.40137} -{"mode": "train", "epoch": 130, "iter": 81950, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.22804, "decode.acc_seg": 73.57029, "aux.loss_seg": 0.17868, "aux.acc_seg": 67.59741, "loss": 0.40672, "time": 0.401} -{"mode": "train", "epoch": 130, "iter": 82000, "lr": 3e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.22212, "decode.acc_seg": 73.05181, "aux.loss_seg": 0.17954, "aux.acc_seg": 66.88803, "loss": 0.40166, "time": 0.40055} -{"mode": "train", "epoch": 131, "iter": 82050, "lr": 3e-05, "memory": 22018, "data_time": 0.17695, "decode.loss_seg": 0.23275, "decode.acc_seg": 73.33613, "aux.loss_seg": 0.18153, "aux.acc_seg": 67.35161, "loss": 0.41428, "time": 0.57037} -{"mode": "train", "epoch": 131, "iter": 82100, "lr": 3e-05, "memory": 22018, "data_time": 0.00662, "decode.loss_seg": 0.23593, "decode.acc_seg": 73.32431, "aux.loss_seg": 0.18339, "aux.acc_seg": 67.61688, "loss": 0.41932, "time": 0.39929} -{"mode": "train", "epoch": 131, "iter": 82150, "lr": 3e-05, "memory": 22018, "data_time": 0.00674, "decode.loss_seg": 0.23009, "decode.acc_seg": 73.93479, "aux.loss_seg": 0.17952, "aux.acc_seg": 68.26799, "loss": 0.40961, "time": 0.39916} -{"mode": "train", "epoch": 131, "iter": 82200, "lr": 3e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.23149, "decode.acc_seg": 72.69311, "aux.loss_seg": 0.17322, "aux.acc_seg": 67.36376, "loss": 0.40471, "time": 0.39972} -{"mode": "train", "epoch": 131, "iter": 82250, "lr": 3e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.23003, "decode.acc_seg": 72.83629, "aux.loss_seg": 0.17717, "aux.acc_seg": 67.18056, "loss": 0.40721, "time": 0.40073} -{"mode": "train", "epoch": 131, "iter": 82300, "lr": 3e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.22188, "decode.acc_seg": 72.81636, "aux.loss_seg": 0.17482, "aux.acc_seg": 66.87923, "loss": 0.39671, "time": 0.39997} -{"mode": "train", "epoch": 131, "iter": 82350, "lr": 3e-05, "memory": 22018, "data_time": 0.00694, "decode.loss_seg": 0.2301, "decode.acc_seg": 73.2122, "aux.loss_seg": 0.1775, "aux.acc_seg": 67.55042, "loss": 0.4076, "time": 0.40048} -{"mode": "train", "epoch": 131, "iter": 82400, "lr": 3e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.23965, "decode.acc_seg": 73.21017, "aux.loss_seg": 0.18411, "aux.acc_seg": 67.17497, "loss": 0.42376, "time": 0.39877} -{"mode": "train", "epoch": 131, "iter": 82450, "lr": 3e-05, "memory": 22018, "data_time": 0.00689, "decode.loss_seg": 0.2241, "decode.acc_seg": 74.23287, "aux.loss_seg": 0.17793, "aux.acc_seg": 68.24978, "loss": 0.40203, "time": 0.39956} -{"mode": "train", "epoch": 131, "iter": 82500, "lr": 3e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.23739, "decode.acc_seg": 73.22745, "aux.loss_seg": 0.18741, "aux.acc_seg": 67.00484, "loss": 0.4248, "time": 0.40022} -{"mode": "train", "epoch": 131, "iter": 82550, "lr": 3e-05, "memory": 22018, "data_time": 0.00676, "decode.loss_seg": 0.22793, "decode.acc_seg": 72.66886, "aux.loss_seg": 0.17865, "aux.acc_seg": 66.73118, "loss": 0.40658, "time": 0.40134} -{"mode": "train", "epoch": 131, "iter": 82600, "lr": 3e-05, "memory": 22018, "data_time": 0.00667, "decode.loss_seg": 0.2317, "decode.acc_seg": 73.20226, "aux.loss_seg": 0.18451, "aux.acc_seg": 66.84285, "loss": 0.41621, "time": 0.40113} -{"mode": "train", "epoch": 131, "iter": 82650, "lr": 3e-05, "memory": 22018, "data_time": 0.0066, "decode.loss_seg": 0.23451, "decode.acc_seg": 74.25586, "aux.loss_seg": 0.18565, "aux.acc_seg": 68.22197, "loss": 0.42016, "time": 0.40132} -{"mode": "train", "epoch": 132, "iter": 82700, "lr": 3e-05, "memory": 22018, "data_time": 0.16842, "decode.loss_seg": 0.23813, "decode.acc_seg": 73.68215, "aux.loss_seg": 0.18611, "aux.acc_seg": 67.68, "loss": 0.42424, "time": 0.56138} -{"mode": "train", "epoch": 132, "iter": 82750, "lr": 3e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.23121, "decode.acc_seg": 73.19401, "aux.loss_seg": 0.1786, "aux.acc_seg": 67.50889, "loss": 0.40981, "time": 0.40019} -{"mode": "train", "epoch": 132, "iter": 82800, "lr": 3e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.23169, "decode.acc_seg": 74.16975, "aux.loss_seg": 0.17582, "aux.acc_seg": 68.70977, "loss": 0.40751, "time": 0.40012} -{"mode": "train", "epoch": 132, "iter": 82850, "lr": 3e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.22166, "decode.acc_seg": 72.91518, "aux.loss_seg": 0.17868, "aux.acc_seg": 66.8552, "loss": 0.40034, "time": 0.40461} -{"mode": "train", "epoch": 132, "iter": 82900, "lr": 3e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.2254, "decode.acc_seg": 73.22654, "aux.loss_seg": 0.17471, "aux.acc_seg": 67.42748, "loss": 0.40011, "time": 0.4022} -{"mode": "train", "epoch": 132, "iter": 82950, "lr": 3e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.23767, "decode.acc_seg": 73.31922, "aux.loss_seg": 0.18348, "aux.acc_seg": 67.42472, "loss": 0.42115, "time": 0.40297} -{"mode": "train", "epoch": 132, "iter": 83000, "lr": 3e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.24112, "decode.acc_seg": 72.8578, "aux.loss_seg": 0.18763, "aux.acc_seg": 66.87646, "loss": 0.42875, "time": 0.40272} -{"mode": "train", "epoch": 132, "iter": 83050, "lr": 3e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.23492, "decode.acc_seg": 73.09814, "aux.loss_seg": 0.18192, "aux.acc_seg": 67.12979, "loss": 0.41684, "time": 0.40292} -{"mode": "train", "epoch": 132, "iter": 83100, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.24016, "decode.acc_seg": 72.56676, "aux.loss_seg": 0.18818, "aux.acc_seg": 66.47047, "loss": 0.42833, "time": 0.40348} -{"mode": "train", "epoch": 132, "iter": 83150, "lr": 3e-05, "memory": 22018, "data_time": 0.00867, "decode.loss_seg": 0.22214, "decode.acc_seg": 72.1246, "aux.loss_seg": 0.17161, "aux.acc_seg": 66.53489, "loss": 0.39375, "time": 0.4016} -{"mode": "train", "epoch": 132, "iter": 83200, "lr": 3e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.23079, "decode.acc_seg": 73.2208, "aux.loss_seg": 0.18263, "aux.acc_seg": 67.17783, "loss": 0.41342, "time": 0.40367} -{"mode": "train", "epoch": 132, "iter": 83250, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.23427, "decode.acc_seg": 74.0571, "aux.loss_seg": 0.18061, "aux.acc_seg": 68.15534, "loss": 0.41488, "time": 0.40197} -{"mode": "train", "epoch": 133, "iter": 83300, "lr": 3e-05, "memory": 22018, "data_time": 0.18205, "decode.loss_seg": 0.2394, "decode.acc_seg": 74.10473, "aux.loss_seg": 0.18598, "aux.acc_seg": 68.01655, "loss": 0.42538, "time": 0.5747} -{"mode": "train", "epoch": 133, "iter": 83350, "lr": 3e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.23105, "decode.acc_seg": 72.67361, "aux.loss_seg": 0.18379, "aux.acc_seg": 66.58754, "loss": 0.41484, "time": 0.40137} -{"mode": "train", "epoch": 133, "iter": 83400, "lr": 3e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.23587, "decode.acc_seg": 73.42882, "aux.loss_seg": 0.17982, "aux.acc_seg": 67.82807, "loss": 0.41569, "time": 0.4012} -{"mode": "train", "epoch": 133, "iter": 83450, "lr": 3e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.23245, "decode.acc_seg": 73.35889, "aux.loss_seg": 0.18006, "aux.acc_seg": 67.54793, "loss": 0.41251, "time": 0.40074} -{"mode": "train", "epoch": 133, "iter": 83500, "lr": 3e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.22885, "decode.acc_seg": 73.52468, "aux.loss_seg": 0.18154, "aux.acc_seg": 67.64309, "loss": 0.4104, "time": 0.40415} -{"mode": "train", "epoch": 133, "iter": 83550, "lr": 3e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.22856, "decode.acc_seg": 73.69198, "aux.loss_seg": 0.17767, "aux.acc_seg": 67.88048, "loss": 0.40623, "time": 0.40447} -{"mode": "train", "epoch": 133, "iter": 83600, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.22557, "decode.acc_seg": 71.66778, "aux.loss_seg": 0.17478, "aux.acc_seg": 65.90506, "loss": 0.40036, "time": 0.40374} -{"mode": "train", "epoch": 133, "iter": 83650, "lr": 3e-05, "memory": 22018, "data_time": 0.0097, "decode.loss_seg": 0.22907, "decode.acc_seg": 72.64498, "aux.loss_seg": 0.18284, "aux.acc_seg": 66.55693, "loss": 0.41191, "time": 0.40322} -{"mode": "train", "epoch": 133, "iter": 83700, "lr": 3e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.23551, "decode.acc_seg": 73.28355, "aux.loss_seg": 0.18259, "aux.acc_seg": 67.52998, "loss": 0.4181, "time": 0.40407} -{"mode": "train", "epoch": 133, "iter": 83750, "lr": 3e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.22969, "decode.acc_seg": 72.63381, "aux.loss_seg": 0.17835, "aux.acc_seg": 66.73107, "loss": 0.40804, "time": 0.40404} -{"mode": "train", "epoch": 133, "iter": 83800, "lr": 3e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.2298, "decode.acc_seg": 73.55619, "aux.loss_seg": 0.17873, "aux.acc_seg": 67.74688, "loss": 0.40852, "time": 0.40262} -{"mode": "train", "epoch": 133, "iter": 83850, "lr": 3e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.22746, "decode.acc_seg": 73.03799, "aux.loss_seg": 0.17869, "aux.acc_seg": 67.17716, "loss": 0.40615, "time": 0.40359} -{"mode": "train", "epoch": 133, "iter": 83900, "lr": 3e-05, "memory": 22018, "data_time": 0.00983, "decode.loss_seg": 0.23139, "decode.acc_seg": 72.89531, "aux.loss_seg": 0.17777, "aux.acc_seg": 67.19374, "loss": 0.40916, "time": 0.40441} -{"mode": "train", "epoch": 134, "iter": 83950, "lr": 3e-05, "memory": 22018, "data_time": 0.16731, "decode.loss_seg": 0.22953, "decode.acc_seg": 74.094, "aux.loss_seg": 0.17594, "aux.acc_seg": 68.58394, "loss": 0.40547, "time": 0.56043} -{"mode": "train", "epoch": 134, "iter": 84000, "lr": 3e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.22246, "decode.acc_seg": 74.24759, "aux.loss_seg": 0.17706, "aux.acc_seg": 68.20801, "loss": 0.39952, "time": 0.3996} -{"mode": "train", "epoch": 134, "iter": 84050, "lr": 3e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.22742, "decode.acc_seg": 72.59849, "aux.loss_seg": 0.1761, "aux.acc_seg": 66.78428, "loss": 0.40352, "time": 0.40087} -{"mode": "train", "epoch": 134, "iter": 84100, "lr": 3e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.23021, "decode.acc_seg": 72.62166, "aux.loss_seg": 0.18442, "aux.acc_seg": 66.33126, "loss": 0.41463, "time": 0.40105} -{"mode": "train", "epoch": 134, "iter": 84150, "lr": 3e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.23356, "decode.acc_seg": 74.10376, "aux.loss_seg": 0.18141, "aux.acc_seg": 68.25211, "loss": 0.41497, "time": 0.39985} -{"mode": "train", "epoch": 134, "iter": 84200, "lr": 3e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.22732, "decode.acc_seg": 73.4734, "aux.loss_seg": 0.17888, "aux.acc_seg": 67.55563, "loss": 0.4062, "time": 0.40022} -{"mode": "train", "epoch": 134, "iter": 84250, "lr": 3e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.22754, "decode.acc_seg": 72.73912, "aux.loss_seg": 0.17639, "aux.acc_seg": 67.10785, "loss": 0.40393, "time": 0.40139} -{"mode": "train", "epoch": 134, "iter": 84300, "lr": 3e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.23316, "decode.acc_seg": 73.26075, "aux.loss_seg": 0.18429, "aux.acc_seg": 67.19353, "loss": 0.41745, "time": 0.40104} -{"mode": "train", "epoch": 134, "iter": 84350, "lr": 3e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.23398, "decode.acc_seg": 72.80948, "aux.loss_seg": 0.17846, "aux.acc_seg": 67.14004, "loss": 0.41244, "time": 0.40188} -{"mode": "train", "epoch": 134, "iter": 84400, "lr": 3e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.23701, "decode.acc_seg": 72.78459, "aux.loss_seg": 0.18319, "aux.acc_seg": 66.75107, "loss": 0.4202, "time": 0.40091} -{"mode": "train", "epoch": 134, "iter": 84450, "lr": 3e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.23937, "decode.acc_seg": 74.02694, "aux.loss_seg": 0.18703, "aux.acc_seg": 67.89401, "loss": 0.4264, "time": 0.40276} -{"mode": "train", "epoch": 134, "iter": 84500, "lr": 3e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.2305, "decode.acc_seg": 72.34484, "aux.loss_seg": 0.17784, "aux.acc_seg": 66.68467, "loss": 0.40833, "time": 0.40171} -{"mode": "train", "epoch": 134, "iter": 84550, "lr": 3e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.23561, "decode.acc_seg": 73.35739, "aux.loss_seg": 0.18358, "aux.acc_seg": 67.37282, "loss": 0.4192, "time": 0.40185} -{"mode": "train", "epoch": 135, "iter": 84600, "lr": 3e-05, "memory": 22018, "data_time": 0.17479, "decode.loss_seg": 0.22647, "decode.acc_seg": 73.15072, "aux.loss_seg": 0.17636, "aux.acc_seg": 67.35762, "loss": 0.40284, "time": 0.56822} -{"mode": "train", "epoch": 135, "iter": 84650, "lr": 3e-05, "memory": 22018, "data_time": 0.00715, "decode.loss_seg": 0.227, "decode.acc_seg": 72.94279, "aux.loss_seg": 0.17958, "aux.acc_seg": 66.96752, "loss": 0.40658, "time": 0.40002} -{"mode": "train", "epoch": 135, "iter": 84700, "lr": 3e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.21629, "decode.acc_seg": 72.1838, "aux.loss_seg": 0.16945, "aux.acc_seg": 66.64355, "loss": 0.38574, "time": 0.40192} -{"mode": "train", "epoch": 135, "iter": 84750, "lr": 3e-05, "memory": 22018, "data_time": 0.00751, "decode.loss_seg": 0.21287, "decode.acc_seg": 73.64551, "aux.loss_seg": 0.16939, "aux.acc_seg": 67.95608, "loss": 0.38226, "time": 0.40157} -{"mode": "train", "epoch": 135, "iter": 84800, "lr": 3e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.23153, "decode.acc_seg": 74.52061, "aux.loss_seg": 0.18259, "aux.acc_seg": 68.31372, "loss": 0.41412, "time": 0.40108} -{"mode": "train", "epoch": 135, "iter": 84850, "lr": 3e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.22952, "decode.acc_seg": 72.79542, "aux.loss_seg": 0.18098, "aux.acc_seg": 66.84612, "loss": 0.41051, "time": 0.40208} -{"mode": "train", "epoch": 135, "iter": 84900, "lr": 3e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.23327, "decode.acc_seg": 74.4302, "aux.loss_seg": 0.18076, "aux.acc_seg": 68.47067, "loss": 0.41403, "time": 0.40132} -{"mode": "train", "epoch": 135, "iter": 84950, "lr": 3e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.21915, "decode.acc_seg": 73.50152, "aux.loss_seg": 0.17826, "aux.acc_seg": 67.2321, "loss": 0.39741, "time": 0.40025} -{"mode": "train", "epoch": 135, "iter": 85000, "lr": 3e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.23394, "decode.acc_seg": 72.70197, "aux.loss_seg": 0.17906, "aux.acc_seg": 66.97074, "loss": 0.41301, "time": 0.4006} -{"mode": "train", "epoch": 135, "iter": 85050, "lr": 3e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.24947, "decode.acc_seg": 73.15037, "aux.loss_seg": 0.18716, "aux.acc_seg": 67.36766, "loss": 0.43662, "time": 0.40083} -{"mode": "train", "epoch": 135, "iter": 85100, "lr": 3e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.23826, "decode.acc_seg": 72.34961, "aux.loss_seg": 0.18346, "aux.acc_seg": 66.33629, "loss": 0.42172, "time": 0.40113} -{"mode": "train", "epoch": 135, "iter": 85150, "lr": 3e-05, "memory": 22018, "data_time": 0.00716, "decode.loss_seg": 0.22903, "decode.acc_seg": 72.29087, "aux.loss_seg": 0.17817, "aux.acc_seg": 66.56404, "loss": 0.4072, "time": 0.40093} -{"mode": "train", "epoch": 136, "iter": 85200, "lr": 3e-05, "memory": 22018, "data_time": 0.17516, "decode.loss_seg": 0.23216, "decode.acc_seg": 73.89688, "aux.loss_seg": 0.18038, "aux.acc_seg": 68.08786, "loss": 0.41254, "time": 0.56839} -{"mode": "train", "epoch": 136, "iter": 85250, "lr": 3e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.22986, "decode.acc_seg": 72.90956, "aux.loss_seg": 0.17909, "aux.acc_seg": 66.8942, "loss": 0.40894, "time": 0.40094} -{"mode": "train", "epoch": 136, "iter": 85300, "lr": 3e-05, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.22783, "decode.acc_seg": 73.43946, "aux.loss_seg": 0.1795, "aux.acc_seg": 67.5203, "loss": 0.40733, "time": 0.40128} -{"mode": "train", "epoch": 136, "iter": 85350, "lr": 3e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.22315, "decode.acc_seg": 73.34006, "aux.loss_seg": 0.17416, "aux.acc_seg": 67.70604, "loss": 0.39732, "time": 0.40237} -{"mode": "train", "epoch": 136, "iter": 85400, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.23083, "decode.acc_seg": 72.46788, "aux.loss_seg": 0.17965, "aux.acc_seg": 66.59849, "loss": 0.41049, "time": 0.40277} -{"mode": "train", "epoch": 136, "iter": 85450, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.21321, "decode.acc_seg": 72.30975, "aux.loss_seg": 0.16629, "aux.acc_seg": 66.85335, "loss": 0.3795, "time": 0.40253} -{"mode": "train", "epoch": 136, "iter": 85500, "lr": 3e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.22586, "decode.acc_seg": 73.1127, "aux.loss_seg": 0.17909, "aux.acc_seg": 67.02675, "loss": 0.40495, "time": 0.40185} -{"mode": "train", "epoch": 136, "iter": 85550, "lr": 3e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.22132, "decode.acc_seg": 73.29835, "aux.loss_seg": 0.17286, "aux.acc_seg": 67.55615, "loss": 0.39417, "time": 0.4016} -{"mode": "train", "epoch": 136, "iter": 85600, "lr": 3e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.23085, "decode.acc_seg": 73.60348, "aux.loss_seg": 0.17839, "aux.acc_seg": 67.86071, "loss": 0.40924, "time": 0.40219} -{"mode": "train", "epoch": 136, "iter": 85650, "lr": 3e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.22806, "decode.acc_seg": 73.38113, "aux.loss_seg": 0.17643, "aux.acc_seg": 67.66145, "loss": 0.40449, "time": 0.40371} -{"mode": "train", "epoch": 136, "iter": 85700, "lr": 3e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.22884, "decode.acc_seg": 72.99605, "aux.loss_seg": 0.17757, "aux.acc_seg": 67.13763, "loss": 0.40641, "time": 0.40302} -{"mode": "train", "epoch": 136, "iter": 85750, "lr": 3e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.23507, "decode.acc_seg": 73.15243, "aux.loss_seg": 0.18532, "aux.acc_seg": 66.92643, "loss": 0.42039, "time": 0.40228} -{"mode": "train", "epoch": 136, "iter": 85800, "lr": 3e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.2211, "decode.acc_seg": 73.22263, "aux.loss_seg": 0.17584, "aux.acc_seg": 67.10936, "loss": 0.39694, "time": 0.40317} -{"mode": "train", "epoch": 137, "iter": 85850, "lr": 3e-05, "memory": 22018, "data_time": 0.17752, "decode.loss_seg": 0.23008, "decode.acc_seg": 73.57812, "aux.loss_seg": 0.18373, "aux.acc_seg": 67.22462, "loss": 0.4138, "time": 0.57034} -{"mode": "train", "epoch": 137, "iter": 85900, "lr": 3e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.22274, "decode.acc_seg": 72.71215, "aux.loss_seg": 0.17747, "aux.acc_seg": 66.72146, "loss": 0.40021, "time": 0.40034} -{"mode": "train", "epoch": 137, "iter": 85950, "lr": 3e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.22319, "decode.acc_seg": 72.99496, "aux.loss_seg": 0.17189, "aux.acc_seg": 67.45521, "loss": 0.39509, "time": 0.39997} -{"mode": "train", "epoch": 137, "iter": 86000, "lr": 3e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.22489, "decode.acc_seg": 73.26986, "aux.loss_seg": 0.17403, "aux.acc_seg": 67.52675, "loss": 0.39892, "time": 0.40183} -{"mode": "train", "epoch": 137, "iter": 86050, "lr": 3e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.22308, "decode.acc_seg": 73.5804, "aux.loss_seg": 0.17847, "aux.acc_seg": 67.47685, "loss": 0.40155, "time": 0.40074} -{"mode": "train", "epoch": 137, "iter": 86100, "lr": 3e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.21469, "decode.acc_seg": 72.37586, "aux.loss_seg": 0.16929, "aux.acc_seg": 66.92304, "loss": 0.38398, "time": 0.40045} -{"mode": "train", "epoch": 137, "iter": 86150, "lr": 3e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.22064, "decode.acc_seg": 73.2678, "aux.loss_seg": 0.17146, "aux.acc_seg": 67.62187, "loss": 0.39209, "time": 0.40092} -{"mode": "train", "epoch": 137, "iter": 86200, "lr": 3e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.22035, "decode.acc_seg": 72.62086, "aux.loss_seg": 0.17219, "aux.acc_seg": 67.0021, "loss": 0.39254, "time": 0.4011} -{"mode": "train", "epoch": 137, "iter": 86250, "lr": 3e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.22749, "decode.acc_seg": 73.61741, "aux.loss_seg": 0.17526, "aux.acc_seg": 68.02705, "loss": 0.40276, "time": 0.40068} -{"mode": "train", "epoch": 137, "iter": 86300, "lr": 3e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.23406, "decode.acc_seg": 73.03529, "aux.loss_seg": 0.18022, "aux.acc_seg": 67.27986, "loss": 0.41429, "time": 0.4006} -{"mode": "train", "epoch": 137, "iter": 86350, "lr": 3e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.21624, "decode.acc_seg": 73.77628, "aux.loss_seg": 0.17008, "aux.acc_seg": 68.27022, "loss": 0.38631, "time": 0.40068} -{"mode": "train", "epoch": 137, "iter": 86400, "lr": 3e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.23928, "decode.acc_seg": 72.97998, "aux.loss_seg": 0.18284, "aux.acc_seg": 67.12055, "loss": 0.42213, "time": 0.40078} -{"mode": "train", "epoch": 138, "iter": 86450, "lr": 3e-05, "memory": 22018, "data_time": 0.17212, "decode.loss_seg": 0.23158, "decode.acc_seg": 73.24824, "aux.loss_seg": 0.17606, "aux.acc_seg": 67.83257, "loss": 0.40763, "time": 0.56578} -{"mode": "train", "epoch": 138, "iter": 86500, "lr": 3e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.22581, "decode.acc_seg": 73.38525, "aux.loss_seg": 0.17662, "aux.acc_seg": 67.53927, "loss": 0.40243, "time": 0.40158} -{"mode": "train", "epoch": 138, "iter": 86550, "lr": 3e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.22771, "decode.acc_seg": 73.13214, "aux.loss_seg": 0.17217, "aux.acc_seg": 67.79957, "loss": 0.39988, "time": 0.40169} -{"mode": "train", "epoch": 138, "iter": 86600, "lr": 3e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.23847, "decode.acc_seg": 73.48393, "aux.loss_seg": 0.18207, "aux.acc_seg": 67.72429, "loss": 0.42054, "time": 0.40031} -{"mode": "train", "epoch": 138, "iter": 86650, "lr": 3e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.2319, "decode.acc_seg": 73.27896, "aux.loss_seg": 0.18436, "aux.acc_seg": 66.94007, "loss": 0.41626, "time": 0.4016} -{"mode": "train", "epoch": 138, "iter": 86700, "lr": 3e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.22968, "decode.acc_seg": 72.91317, "aux.loss_seg": 0.18096, "aux.acc_seg": 66.94009, "loss": 0.41064, "time": 0.4015} -{"mode": "train", "epoch": 138, "iter": 86750, "lr": 3e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.22578, "decode.acc_seg": 73.61743, "aux.loss_seg": 0.17606, "aux.acc_seg": 67.89447, "loss": 0.40183, "time": 0.40148} -{"mode": "train", "epoch": 138, "iter": 86800, "lr": 3e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.22054, "decode.acc_seg": 72.63784, "aux.loss_seg": 0.17293, "aux.acc_seg": 66.96063, "loss": 0.39348, "time": 0.40138} -{"mode": "train", "epoch": 138, "iter": 86850, "lr": 3e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.22707, "decode.acc_seg": 74.10281, "aux.loss_seg": 0.17467, "aux.acc_seg": 68.32027, "loss": 0.40174, "time": 0.39997} -{"mode": "train", "epoch": 138, "iter": 86900, "lr": 3e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.2292, "decode.acc_seg": 74.18158, "aux.loss_seg": 0.17775, "aux.acc_seg": 68.49686, "loss": 0.40696, "time": 0.39995} -{"mode": "train", "epoch": 138, "iter": 86950, "lr": 3e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.23207, "decode.acc_seg": 73.78792, "aux.loss_seg": 0.17943, "aux.acc_seg": 67.98035, "loss": 0.4115, "time": 0.40166} -{"mode": "train", "epoch": 138, "iter": 87000, "lr": 3e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.2209, "decode.acc_seg": 73.43208, "aux.loss_seg": 0.17591, "aux.acc_seg": 67.53262, "loss": 0.39681, "time": 0.40019} -{"mode": "train", "epoch": 138, "iter": 87050, "lr": 3e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.22729, "decode.acc_seg": 73.67015, "aux.loss_seg": 0.17938, "aux.acc_seg": 67.77106, "loss": 0.40667, "time": 0.40171} -{"mode": "train", "epoch": 139, "iter": 87100, "lr": 3e-05, "memory": 22018, "data_time": 0.17553, "decode.loss_seg": 0.22717, "decode.acc_seg": 73.11105, "aux.loss_seg": 0.17713, "aux.acc_seg": 67.28742, "loss": 0.4043, "time": 0.56836} -{"mode": "train", "epoch": 139, "iter": 87150, "lr": 3e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.21514, "decode.acc_seg": 72.0786, "aux.loss_seg": 0.16799, "aux.acc_seg": 66.46176, "loss": 0.38313, "time": 0.39925} -{"mode": "train", "epoch": 139, "iter": 87200, "lr": 3e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.21848, "decode.acc_seg": 73.56968, "aux.loss_seg": 0.17258, "aux.acc_seg": 67.74371, "loss": 0.39107, "time": 0.40256} -{"mode": "train", "epoch": 139, "iter": 87250, "lr": 3e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.21724, "decode.acc_seg": 73.75822, "aux.loss_seg": 0.1731, "aux.acc_seg": 67.84492, "loss": 0.39034, "time": 0.40092} -{"mode": "train", "epoch": 139, "iter": 87300, "lr": 3e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.22255, "decode.acc_seg": 73.64135, "aux.loss_seg": 0.1833, "aux.acc_seg": 67.41681, "loss": 0.40585, "time": 0.40109} -{"mode": "train", "epoch": 139, "iter": 87350, "lr": 3e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.22429, "decode.acc_seg": 73.80332, "aux.loss_seg": 0.17731, "aux.acc_seg": 67.74971, "loss": 0.4016, "time": 0.40075} -{"mode": "train", "epoch": 139, "iter": 87400, "lr": 3e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.23146, "decode.acc_seg": 72.91664, "aux.loss_seg": 0.17679, "aux.acc_seg": 67.2503, "loss": 0.40825, "time": 0.40031} -{"mode": "train", "epoch": 139, "iter": 87450, "lr": 3e-05, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.22023, "decode.acc_seg": 72.6416, "aux.loss_seg": 0.17551, "aux.acc_seg": 66.65913, "loss": 0.39573, "time": 0.40016} -{"mode": "train", "epoch": 139, "iter": 87500, "lr": 3e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.23357, "decode.acc_seg": 72.98636, "aux.loss_seg": 0.18321, "aux.acc_seg": 66.95851, "loss": 0.41678, "time": 0.3998} -{"mode": "train", "epoch": 139, "iter": 87550, "lr": 3e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.213, "decode.acc_seg": 73.22021, "aux.loss_seg": 0.17147, "aux.acc_seg": 67.53766, "loss": 0.38447, "time": 0.40029} -{"mode": "train", "epoch": 139, "iter": 87600, "lr": 3e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.23053, "decode.acc_seg": 73.44554, "aux.loss_seg": 0.1756, "aux.acc_seg": 67.86932, "loss": 0.40613, "time": 0.40097} -{"mode": "train", "epoch": 139, "iter": 87650, "lr": 3e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.23602, "decode.acc_seg": 73.13734, "aux.loss_seg": 0.18332, "aux.acc_seg": 67.34643, "loss": 0.41934, "time": 0.40249} -{"mode": "train", "epoch": 139, "iter": 87700, "lr": 3e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.21986, "decode.acc_seg": 73.20332, "aux.loss_seg": 0.17388, "aux.acc_seg": 67.50532, "loss": 0.39374, "time": 0.40259} -{"mode": "train", "epoch": 140, "iter": 87750, "lr": 3e-05, "memory": 22018, "data_time": 0.18472, "decode.loss_seg": 0.22177, "decode.acc_seg": 74.69109, "aux.loss_seg": 0.17499, "aux.acc_seg": 68.8797, "loss": 0.39676, "time": 0.5776} -{"mode": "train", "epoch": 140, "iter": 87800, "lr": 3e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.21983, "decode.acc_seg": 73.87214, "aux.loss_seg": 0.17515, "aux.acc_seg": 68.08358, "loss": 0.39498, "time": 0.4021} -{"mode": "train", "epoch": 140, "iter": 87850, "lr": 3e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.23259, "decode.acc_seg": 73.70318, "aux.loss_seg": 0.17897, "aux.acc_seg": 68.03595, "loss": 0.41156, "time": 0.40269} -{"mode": "train", "epoch": 140, "iter": 87900, "lr": 3e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.21657, "decode.acc_seg": 72.7895, "aux.loss_seg": 0.16639, "aux.acc_seg": 67.38127, "loss": 0.38297, "time": 0.40403} -{"mode": "train", "epoch": 140, "iter": 87950, "lr": 3e-05, "memory": 22018, "data_time": 0.01021, "decode.loss_seg": 0.21762, "decode.acc_seg": 73.48472, "aux.loss_seg": 0.17272, "aux.acc_seg": 67.71655, "loss": 0.39034, "time": 0.40339} -{"mode": "train", "epoch": 140, "iter": 88000, "lr": 3e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.22143, "decode.acc_seg": 73.5298, "aux.loss_seg": 0.17519, "aux.acc_seg": 67.70647, "loss": 0.39662, "time": 0.40263} -{"mode": "train", "epoch": 140, "iter": 88050, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.21897, "decode.acc_seg": 73.4034, "aux.loss_seg": 0.1733, "aux.acc_seg": 67.61947, "loss": 0.39228, "time": 0.40299} -{"mode": "train", "epoch": 140, "iter": 88100, "lr": 3e-05, "memory": 22018, "data_time": 0.01022, "decode.loss_seg": 0.21607, "decode.acc_seg": 73.63231, "aux.loss_seg": 0.17586, "aux.acc_seg": 67.5254, "loss": 0.39193, "time": 0.40356} -{"mode": "train", "epoch": 140, "iter": 88150, "lr": 3e-05, "memory": 22018, "data_time": 0.01051, "decode.loss_seg": 0.22127, "decode.acc_seg": 72.99618, "aux.loss_seg": 0.17594, "aux.acc_seg": 67.18545, "loss": 0.3972, "time": 0.40301} -{"mode": "train", "epoch": 140, "iter": 88200, "lr": 3e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.22796, "decode.acc_seg": 74.06305, "aux.loss_seg": 0.17601, "aux.acc_seg": 68.21218, "loss": 0.40397, "time": 0.40302} -{"mode": "train", "epoch": 140, "iter": 88250, "lr": 3e-05, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.23603, "decode.acc_seg": 73.39456, "aux.loss_seg": 0.18316, "aux.acc_seg": 67.52725, "loss": 0.41919, "time": 0.40366} -{"mode": "train", "epoch": 140, "iter": 88300, "lr": 3e-05, "memory": 22018, "data_time": 0.01024, "decode.loss_seg": 0.22312, "decode.acc_seg": 73.03667, "aux.loss_seg": 0.17603, "aux.acc_seg": 67.16913, "loss": 0.39915, "time": 0.40269} -{"mode": "train", "epoch": 141, "iter": 88350, "lr": 3e-05, "memory": 22018, "data_time": 0.18103, "decode.loss_seg": 0.22178, "decode.acc_seg": 73.14751, "aux.loss_seg": 0.17159, "aux.acc_seg": 67.53344, "loss": 0.39337, "time": 0.57346} -{"mode": "train", "epoch": 141, "iter": 88400, "lr": 3e-05, "memory": 22018, "data_time": 0.00717, "decode.loss_seg": 0.21914, "decode.acc_seg": 73.41763, "aux.loss_seg": 0.17514, "aux.acc_seg": 67.38115, "loss": 0.39428, "time": 0.39994} -{"mode": "train", "epoch": 141, "iter": 88450, "lr": 3e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.22125, "decode.acc_seg": 73.44105, "aux.loss_seg": 0.17513, "aux.acc_seg": 67.39447, "loss": 0.39638, "time": 0.40092} -{"mode": "train", "epoch": 141, "iter": 88500, "lr": 3e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.22103, "decode.acc_seg": 72.71945, "aux.loss_seg": 0.17284, "aux.acc_seg": 66.92166, "loss": 0.39387, "time": 0.40179} -{"mode": "train", "epoch": 141, "iter": 88550, "lr": 3e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.22525, "decode.acc_seg": 73.10969, "aux.loss_seg": 0.17592, "aux.acc_seg": 67.46763, "loss": 0.40117, "time": 0.40104} -{"mode": "train", "epoch": 141, "iter": 88600, "lr": 3e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.2174, "decode.acc_seg": 73.75696, "aux.loss_seg": 0.17605, "aux.acc_seg": 67.70756, "loss": 0.39345, "time": 0.40106} -{"mode": "train", "epoch": 141, "iter": 88650, "lr": 3e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.21235, "decode.acc_seg": 73.81619, "aux.loss_seg": 0.16555, "aux.acc_seg": 68.3345, "loss": 0.3779, "time": 0.39983} -{"mode": "train", "epoch": 141, "iter": 88700, "lr": 3e-05, "memory": 22018, "data_time": 0.00701, "decode.loss_seg": 0.21463, "decode.acc_seg": 73.75734, "aux.loss_seg": 0.17304, "aux.acc_seg": 67.92713, "loss": 0.38766, "time": 0.40119} -{"mode": "train", "epoch": 141, "iter": 88750, "lr": 3e-05, "memory": 22018, "data_time": 0.00703, "decode.loss_seg": 0.22187, "decode.acc_seg": 73.27937, "aux.loss_seg": 0.17717, "aux.acc_seg": 67.15875, "loss": 0.39904, "time": 0.40145} -{"mode": "train", "epoch": 141, "iter": 88800, "lr": 3e-05, "memory": 22018, "data_time": 0.00676, "decode.loss_seg": 0.22663, "decode.acc_seg": 73.66564, "aux.loss_seg": 0.17633, "aux.acc_seg": 67.88033, "loss": 0.40297, "time": 0.39994} -{"mode": "train", "epoch": 141, "iter": 88850, "lr": 3e-05, "memory": 22018, "data_time": 0.00659, "decode.loss_seg": 0.22081, "decode.acc_seg": 72.87988, "aux.loss_seg": 0.17802, "aux.acc_seg": 66.79477, "loss": 0.39882, "time": 0.40106} -{"mode": "train", "epoch": 141, "iter": 88900, "lr": 3e-05, "memory": 22018, "data_time": 0.00645, "decode.loss_seg": 0.22721, "decode.acc_seg": 72.85617, "aux.loss_seg": 0.17401, "aux.acc_seg": 67.24296, "loss": 0.40123, "time": 0.40069} -{"mode": "train", "epoch": 141, "iter": 88950, "lr": 3e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.22549, "decode.acc_seg": 72.92866, "aux.loss_seg": 0.17787, "aux.acc_seg": 67.11291, "loss": 0.40336, "time": 0.4008} -{"mode": "train", "epoch": 142, "iter": 89000, "lr": 3e-05, "memory": 22018, "data_time": 0.17691, "decode.loss_seg": 0.22627, "decode.acc_seg": 72.92127, "aux.loss_seg": 0.17941, "aux.acc_seg": 66.91092, "loss": 0.40569, "time": 0.56988} -{"mode": "train", "epoch": 142, "iter": 89050, "lr": 3e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.22403, "decode.acc_seg": 74.39621, "aux.loss_seg": 0.17232, "aux.acc_seg": 68.80689, "loss": 0.39635, "time": 0.401} -{"mode": "train", "epoch": 142, "iter": 89100, "lr": 3e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.21591, "decode.acc_seg": 73.12314, "aux.loss_seg": 0.17342, "aux.acc_seg": 67.15135, "loss": 0.38932, "time": 0.40265} -{"mode": "train", "epoch": 142, "iter": 89150, "lr": 3e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.22773, "decode.acc_seg": 72.89674, "aux.loss_seg": 0.18063, "aux.acc_seg": 66.83173, "loss": 0.40836, "time": 0.40408} -{"mode": "train", "epoch": 142, "iter": 89200, "lr": 3e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.22862, "decode.acc_seg": 73.42356, "aux.loss_seg": 0.17569, "aux.acc_seg": 67.74787, "loss": 0.40431, "time": 0.40483} -{"mode": "train", "epoch": 142, "iter": 89250, "lr": 3e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.22288, "decode.acc_seg": 73.81888, "aux.loss_seg": 0.17121, "aux.acc_seg": 68.20578, "loss": 0.39409, "time": 0.4031} -{"mode": "train", "epoch": 142, "iter": 89300, "lr": 3e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.22897, "decode.acc_seg": 72.91806, "aux.loss_seg": 0.17881, "aux.acc_seg": 67.10534, "loss": 0.40778, "time": 0.40298} -{"mode": "train", "epoch": 142, "iter": 89350, "lr": 3e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.21997, "decode.acc_seg": 72.84823, "aux.loss_seg": 0.17363, "aux.acc_seg": 67.16154, "loss": 0.3936, "time": 0.40334} -{"mode": "train", "epoch": 142, "iter": 89400, "lr": 3e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.22088, "decode.acc_seg": 73.70435, "aux.loss_seg": 0.17597, "aux.acc_seg": 67.80282, "loss": 0.39685, "time": 0.40365} -{"mode": "train", "epoch": 142, "iter": 89450, "lr": 3e-05, "memory": 22018, "data_time": 0.01028, "decode.loss_seg": 0.22786, "decode.acc_seg": 73.57258, "aux.loss_seg": 0.17503, "aux.acc_seg": 67.8602, "loss": 0.40289, "time": 0.4031} -{"mode": "train", "epoch": 142, "iter": 89500, "lr": 3e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.22771, "decode.acc_seg": 74.26832, "aux.loss_seg": 0.17346, "aux.acc_seg": 68.75619, "loss": 0.40117, "time": 0.40272} -{"mode": "train", "epoch": 142, "iter": 89550, "lr": 3e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.22812, "decode.acc_seg": 72.23387, "aux.loss_seg": 0.17936, "aux.acc_seg": 66.35415, "loss": 0.40748, "time": 0.40327} -{"mode": "train", "epoch": 142, "iter": 89600, "lr": 3e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.222, "decode.acc_seg": 72.66916, "aux.loss_seg": 0.17619, "aux.acc_seg": 66.72447, "loss": 0.39819, "time": 0.40442} -{"mode": "train", "epoch": 143, "iter": 89650, "lr": 3e-05, "memory": 22018, "data_time": 0.17625, "decode.loss_seg": 0.22428, "decode.acc_seg": 73.83375, "aux.loss_seg": 0.17322, "aux.acc_seg": 68.24765, "loss": 0.39751, "time": 0.5703} -{"mode": "train", "epoch": 143, "iter": 89700, "lr": 3e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.21348, "decode.acc_seg": 74.33678, "aux.loss_seg": 0.17031, "aux.acc_seg": 68.53963, "loss": 0.38379, "time": 0.40161} -{"mode": "train", "epoch": 143, "iter": 89750, "lr": 3e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.22003, "decode.acc_seg": 73.27039, "aux.loss_seg": 0.17375, "aux.acc_seg": 67.49787, "loss": 0.39378, "time": 0.40295} -{"mode": "train", "epoch": 143, "iter": 89800, "lr": 3e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.22994, "decode.acc_seg": 74.07367, "aux.loss_seg": 0.18081, "aux.acc_seg": 67.95665, "loss": 0.41075, "time": 0.40207} -{"mode": "train", "epoch": 143, "iter": 89850, "lr": 3e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.21751, "decode.acc_seg": 73.41936, "aux.loss_seg": 0.17266, "aux.acc_seg": 67.59458, "loss": 0.39017, "time": 0.40112} -{"mode": "train", "epoch": 143, "iter": 89900, "lr": 3e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.21692, "decode.acc_seg": 73.67426, "aux.loss_seg": 0.17061, "aux.acc_seg": 68.18922, "loss": 0.38753, "time": 0.40211} -{"mode": "train", "epoch": 143, "iter": 89950, "lr": 3e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.22451, "decode.acc_seg": 72.92949, "aux.loss_seg": 0.17377, "aux.acc_seg": 67.20961, "loss": 0.39828, "time": 0.40205} -{"mode": "train", "epoch": 143, "iter": 90000, "lr": 3e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.22202, "decode.acc_seg": 73.16646, "aux.loss_seg": 0.17979, "aux.acc_seg": 66.99465, "loss": 0.40181, "time": 0.40306} -{"mode": "train", "epoch": 143, "iter": 90050, "lr": 3e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.22162, "decode.acc_seg": 73.66923, "aux.loss_seg": 0.17412, "aux.acc_seg": 67.83519, "loss": 0.39574, "time": 0.40268} -{"mode": "train", "epoch": 143, "iter": 90100, "lr": 3e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.22528, "decode.acc_seg": 73.12084, "aux.loss_seg": 0.17897, "aux.acc_seg": 67.21505, "loss": 0.40425, "time": 0.40215} -{"mode": "train", "epoch": 143, "iter": 90150, "lr": 3e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.22505, "decode.acc_seg": 73.59017, "aux.loss_seg": 0.17929, "aux.acc_seg": 67.47165, "loss": 0.40433, "time": 0.40152} -{"mode": "train", "epoch": 143, "iter": 90200, "lr": 3e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.22226, "decode.acc_seg": 74.89966, "aux.loss_seg": 0.17437, "aux.acc_seg": 69.17484, "loss": 0.39663, "time": 0.40158} -{"mode": "train", "epoch": 144, "iter": 90250, "lr": 3e-05, "memory": 22018, "data_time": 0.17357, "decode.loss_seg": 0.22611, "decode.acc_seg": 72.25621, "aux.loss_seg": 0.17588, "aux.acc_seg": 66.66407, "loss": 0.40199, "time": 0.56711} -{"mode": "train", "epoch": 144, "iter": 90300, "lr": 3e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.21961, "decode.acc_seg": 73.89071, "aux.loss_seg": 0.17555, "aux.acc_seg": 67.99377, "loss": 0.39515, "time": 0.40033} -{"mode": "train", "epoch": 144, "iter": 90350, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.22242, "decode.acc_seg": 73.60981, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.99058, "loss": 0.39694, "time": 0.40021} -{"mode": "train", "epoch": 144, "iter": 90400, "lr": 3e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.21069, "decode.acc_seg": 74.02006, "aux.loss_seg": 0.17024, "aux.acc_seg": 68.1585, "loss": 0.38094, "time": 0.40215} -{"mode": "train", "epoch": 144, "iter": 90450, "lr": 3e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.22596, "decode.acc_seg": 73.78912, "aux.loss_seg": 0.17721, "aux.acc_seg": 68.065, "loss": 0.40317, "time": 0.4029} -{"mode": "train", "epoch": 144, "iter": 90500, "lr": 3e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.21303, "decode.acc_seg": 73.89039, "aux.loss_seg": 0.1708, "aux.acc_seg": 68.23264, "loss": 0.38382, "time": 0.40276} -{"mode": "train", "epoch": 144, "iter": 90550, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.21768, "decode.acc_seg": 73.48972, "aux.loss_seg": 0.17206, "aux.acc_seg": 67.67115, "loss": 0.38975, "time": 0.40203} -{"mode": "train", "epoch": 144, "iter": 90600, "lr": 3e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.2209, "decode.acc_seg": 74.93356, "aux.loss_seg": 0.17745, "aux.acc_seg": 69.09987, "loss": 0.39835, "time": 0.40245} -{"mode": "train", "epoch": 144, "iter": 90650, "lr": 3e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.22556, "decode.acc_seg": 73.45698, "aux.loss_seg": 0.17769, "aux.acc_seg": 67.43711, "loss": 0.40326, "time": 0.40197} -{"mode": "train", "epoch": 144, "iter": 90700, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.22356, "decode.acc_seg": 73.32884, "aux.loss_seg": 0.17634, "aux.acc_seg": 67.46389, "loss": 0.39991, "time": 0.40403} -{"mode": "train", "epoch": 144, "iter": 90750, "lr": 3e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.22972, "decode.acc_seg": 73.14245, "aux.loss_seg": 0.18199, "aux.acc_seg": 67.11849, "loss": 0.41171, "time": 0.40209} -{"mode": "train", "epoch": 144, "iter": 90800, "lr": 3e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.21222, "decode.acc_seg": 73.91432, "aux.loss_seg": 0.17376, "aux.acc_seg": 67.94543, "loss": 0.38598, "time": 0.4024} -{"mode": "train", "epoch": 144, "iter": 90850, "lr": 3e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.21259, "decode.acc_seg": 72.70356, "aux.loss_seg": 0.16641, "aux.acc_seg": 67.11736, "loss": 0.379, "time": 0.40038} -{"mode": "train", "epoch": 145, "iter": 90900, "lr": 3e-05, "memory": 22018, "data_time": 0.17812, "decode.loss_seg": 0.22812, "decode.acc_seg": 72.69446, "aux.loss_seg": 0.17617, "aux.acc_seg": 66.86614, "loss": 0.40429, "time": 0.57096} -{"mode": "train", "epoch": 145, "iter": 90950, "lr": 3e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.21732, "decode.acc_seg": 72.99736, "aux.loss_seg": 0.17163, "aux.acc_seg": 67.2592, "loss": 0.38895, "time": 0.40289} -{"mode": "train", "epoch": 145, "iter": 91000, "lr": 3e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.22489, "decode.acc_seg": 73.15677, "aux.loss_seg": 0.1759, "aux.acc_seg": 67.33579, "loss": 0.40079, "time": 0.40274} -{"mode": "train", "epoch": 145, "iter": 91050, "lr": 3e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.21746, "decode.acc_seg": 72.91143, "aux.loss_seg": 0.17418, "aux.acc_seg": 67.14639, "loss": 0.39164, "time": 0.40333} -{"mode": "train", "epoch": 145, "iter": 91100, "lr": 3e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.22739, "decode.acc_seg": 73.67748, "aux.loss_seg": 0.17488, "aux.acc_seg": 68.12778, "loss": 0.40226, "time": 0.40203} -{"mode": "train", "epoch": 145, "iter": 91150, "lr": 3e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.21848, "decode.acc_seg": 73.17497, "aux.loss_seg": 0.17539, "aux.acc_seg": 67.33638, "loss": 0.39387, "time": 0.40281} -{"mode": "train", "epoch": 145, "iter": 91200, "lr": 3e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.22159, "decode.acc_seg": 73.61937, "aux.loss_seg": 0.17262, "aux.acc_seg": 68.00598, "loss": 0.3942, "time": 0.40182} -{"mode": "train", "epoch": 145, "iter": 91250, "lr": 3e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.21517, "decode.acc_seg": 73.79074, "aux.loss_seg": 0.17044, "aux.acc_seg": 67.95088, "loss": 0.38562, "time": 0.40328} -{"mode": "train", "epoch": 145, "iter": 91300, "lr": 3e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.22326, "decode.acc_seg": 73.74001, "aux.loss_seg": 0.17739, "aux.acc_seg": 67.80098, "loss": 0.40065, "time": 0.40506} -{"mode": "train", "epoch": 145, "iter": 91350, "lr": 3e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.21388, "decode.acc_seg": 73.70603, "aux.loss_seg": 0.17437, "aux.acc_seg": 67.78972, "loss": 0.38825, "time": 0.4029} -{"mode": "train", "epoch": 145, "iter": 91400, "lr": 3e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.21905, "decode.acc_seg": 73.33339, "aux.loss_seg": 0.17298, "aux.acc_seg": 67.46978, "loss": 0.39203, "time": 0.40416} -{"mode": "train", "epoch": 145, "iter": 91450, "lr": 3e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.22088, "decode.acc_seg": 74.11034, "aux.loss_seg": 0.17132, "aux.acc_seg": 68.46255, "loss": 0.3922, "time": 0.4041} -{"mode": "train", "epoch": 146, "iter": 91500, "lr": 3e-05, "memory": 22018, "data_time": 0.17964, "decode.loss_seg": 0.22128, "decode.acc_seg": 73.63281, "aux.loss_seg": 0.17866, "aux.acc_seg": 67.53114, "loss": 0.39994, "time": 0.57453} -{"mode": "train", "epoch": 146, "iter": 91550, "lr": 3e-05, "memory": 22018, "data_time": 0.00684, "decode.loss_seg": 0.21833, "decode.acc_seg": 72.79416, "aux.loss_seg": 0.17176, "aux.acc_seg": 67.01348, "loss": 0.39008, "time": 0.39848} -{"mode": "train", "epoch": 146, "iter": 91600, "lr": 3e-05, "memory": 22018, "data_time": 0.00662, "decode.loss_seg": 0.22094, "decode.acc_seg": 73.74826, "aux.loss_seg": 0.17355, "aux.acc_seg": 68.06715, "loss": 0.39449, "time": 0.39843} -{"mode": "train", "epoch": 146, "iter": 91650, "lr": 3e-05, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.22227, "decode.acc_seg": 73.06959, "aux.loss_seg": 0.17442, "aux.acc_seg": 67.08819, "loss": 0.39669, "time": 0.40083} -{"mode": "train", "epoch": 146, "iter": 91700, "lr": 3e-05, "memory": 22018, "data_time": 0.00686, "decode.loss_seg": 0.21746, "decode.acc_seg": 74.91386, "aux.loss_seg": 0.17285, "aux.acc_seg": 69.25067, "loss": 0.39031, "time": 0.40187} -{"mode": "train", "epoch": 146, "iter": 91750, "lr": 3e-05, "memory": 22018, "data_time": 0.00631, "decode.loss_seg": 0.21487, "decode.acc_seg": 73.40193, "aux.loss_seg": 0.1684, "aux.acc_seg": 67.88557, "loss": 0.38326, "time": 0.39986} -{"mode": "train", "epoch": 146, "iter": 91800, "lr": 3e-05, "memory": 22018, "data_time": 0.00662, "decode.loss_seg": 0.20923, "decode.acc_seg": 73.34483, "aux.loss_seg": 0.16787, "aux.acc_seg": 67.40065, "loss": 0.3771, "time": 0.39968} -{"mode": "train", "epoch": 146, "iter": 91850, "lr": 3e-05, "memory": 22018, "data_time": 0.00665, "decode.loss_seg": 0.2233, "decode.acc_seg": 73.45142, "aux.loss_seg": 0.17437, "aux.acc_seg": 67.74663, "loss": 0.39767, "time": 0.39904} -{"mode": "train", "epoch": 146, "iter": 91900, "lr": 3e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.21881, "decode.acc_seg": 73.63063, "aux.loss_seg": 0.17264, "aux.acc_seg": 67.75271, "loss": 0.39145, "time": 0.3985} -{"mode": "train", "epoch": 146, "iter": 91950, "lr": 3e-05, "memory": 22018, "data_time": 0.00685, "decode.loss_seg": 0.22101, "decode.acc_seg": 74.02949, "aux.loss_seg": 0.17496, "aux.acc_seg": 68.16107, "loss": 0.39597, "time": 0.39916} -{"mode": "train", "epoch": 146, "iter": 92000, "lr": 3e-05, "memory": 22018, "data_time": 0.00644, "decode.loss_seg": 0.22408, "decode.acc_seg": 73.90617, "aux.loss_seg": 0.17442, "aux.acc_seg": 68.14618, "loss": 0.39849, "time": 0.40077} -{"mode": "train", "epoch": 146, "iter": 92050, "lr": 3e-05, "memory": 22018, "data_time": 0.00678, "decode.loss_seg": 0.21183, "decode.acc_seg": 73.2963, "aux.loss_seg": 0.17162, "aux.acc_seg": 67.52424, "loss": 0.38345, "time": 0.39921} -{"mode": "train", "epoch": 146, "iter": 92100, "lr": 3e-05, "memory": 22018, "data_time": 0.0065, "decode.loss_seg": 0.21585, "decode.acc_seg": 73.19413, "aux.loss_seg": 0.17359, "aux.acc_seg": 67.20345, "loss": 0.38944, "time": 0.40018} -{"mode": "train", "epoch": 147, "iter": 92150, "lr": 3e-05, "memory": 22018, "data_time": 0.17697, "decode.loss_seg": 0.21327, "decode.acc_seg": 74.34898, "aux.loss_seg": 0.17384, "aux.acc_seg": 68.34978, "loss": 0.38711, "time": 0.57153} -{"mode": "train", "epoch": 147, "iter": 92200, "lr": 3e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.21981, "decode.acc_seg": 74.19762, "aux.loss_seg": 0.18178, "aux.acc_seg": 67.87409, "loss": 0.40159, "time": 0.40064} -{"mode": "train", "epoch": 147, "iter": 92250, "lr": 3e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.22142, "decode.acc_seg": 73.63746, "aux.loss_seg": 0.17662, "aux.acc_seg": 67.73109, "loss": 0.39804, "time": 0.40219} -{"mode": "train", "epoch": 147, "iter": 92300, "lr": 3e-05, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.21925, "decode.acc_seg": 73.54477, "aux.loss_seg": 0.17536, "aux.acc_seg": 67.6192, "loss": 0.39461, "time": 0.40398} -{"mode": "train", "epoch": 147, "iter": 92350, "lr": 3e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.21541, "decode.acc_seg": 72.65097, "aux.loss_seg": 0.16798, "aux.acc_seg": 67.08123, "loss": 0.38339, "time": 0.40329} -{"mode": "train", "epoch": 147, "iter": 92400, "lr": 3e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.21104, "decode.acc_seg": 73.03157, "aux.loss_seg": 0.17121, "aux.acc_seg": 66.93345, "loss": 0.38225, "time": 0.40332} -{"mode": "train", "epoch": 147, "iter": 92450, "lr": 3e-05, "memory": 22018, "data_time": 0.00743, "decode.loss_seg": 0.22346, "decode.acc_seg": 74.12918, "aux.loss_seg": 0.17561, "aux.acc_seg": 68.31094, "loss": 0.39908, "time": 0.40174} -{"mode": "train", "epoch": 147, "iter": 92500, "lr": 3e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.21955, "decode.acc_seg": 71.96153, "aux.loss_seg": 0.17508, "aux.acc_seg": 66.21722, "loss": 0.39463, "time": 0.40327} -{"mode": "train", "epoch": 147, "iter": 92550, "lr": 3e-05, "memory": 22018, "data_time": 0.00751, "decode.loss_seg": 0.21513, "decode.acc_seg": 74.21032, "aux.loss_seg": 0.16595, "aux.acc_seg": 68.72605, "loss": 0.38108, "time": 0.40087} -{"mode": "train", "epoch": 147, "iter": 92600, "lr": 3e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.22001, "decode.acc_seg": 74.04947, "aux.loss_seg": 0.17454, "aux.acc_seg": 68.30736, "loss": 0.39455, "time": 0.4017} -{"mode": "train", "epoch": 147, "iter": 92650, "lr": 3e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.22574, "decode.acc_seg": 73.94056, "aux.loss_seg": 0.17269, "aux.acc_seg": 68.41265, "loss": 0.39843, "time": 0.40216} -{"mode": "train", "epoch": 147, "iter": 92700, "lr": 3e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.2126, "decode.acc_seg": 73.13325, "aux.loss_seg": 0.16454, "aux.acc_seg": 67.72653, "loss": 0.37714, "time": 0.40221} -{"mode": "train", "epoch": 147, "iter": 92750, "lr": 3e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.21198, "decode.acc_seg": 73.18999, "aux.loss_seg": 0.16783, "aux.acc_seg": 67.49235, "loss": 0.37981, "time": 0.40158} -{"mode": "train", "epoch": 148, "iter": 92800, "lr": 3e-05, "memory": 22018, "data_time": 0.17666, "decode.loss_seg": 0.21915, "decode.acc_seg": 73.4411, "aux.loss_seg": 0.1717, "aux.acc_seg": 67.83705, "loss": 0.39085, "time": 0.57092} -{"mode": "train", "epoch": 148, "iter": 92850, "lr": 3e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.2207, "decode.acc_seg": 73.81962, "aux.loss_seg": 0.16972, "aux.acc_seg": 68.20191, "loss": 0.39042, "time": 0.40083} -{"mode": "train", "epoch": 148, "iter": 92900, "lr": 3e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.21742, "decode.acc_seg": 74.16672, "aux.loss_seg": 0.17372, "aux.acc_seg": 68.30069, "loss": 0.39115, "time": 0.40156} -{"mode": "train", "epoch": 148, "iter": 92950, "lr": 3e-05, "memory": 22018, "data_time": 0.00718, "decode.loss_seg": 0.22201, "decode.acc_seg": 73.1828, "aux.loss_seg": 0.17665, "aux.acc_seg": 67.21433, "loss": 0.39866, "time": 0.4016} -{"mode": "train", "epoch": 148, "iter": 93000, "lr": 3e-05, "memory": 22018, "data_time": 0.00725, "decode.loss_seg": 0.22387, "decode.acc_seg": 73.39922, "aux.loss_seg": 0.17772, "aux.acc_seg": 67.56286, "loss": 0.40159, "time": 0.40222} -{"mode": "train", "epoch": 148, "iter": 93050, "lr": 3e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.21529, "decode.acc_seg": 73.36732, "aux.loss_seg": 0.17297, "aux.acc_seg": 67.4891, "loss": 0.38826, "time": 0.40189} -{"mode": "train", "epoch": 148, "iter": 93100, "lr": 3e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.22016, "decode.acc_seg": 74.03166, "aux.loss_seg": 0.16929, "aux.acc_seg": 68.62792, "loss": 0.38945, "time": 0.40168} -{"mode": "train", "epoch": 148, "iter": 93150, "lr": 3e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.22133, "decode.acc_seg": 73.205, "aux.loss_seg": 0.17094, "aux.acc_seg": 67.6022, "loss": 0.39227, "time": 0.40189} -{"mode": "train", "epoch": 148, "iter": 93200, "lr": 3e-05, "memory": 22018, "data_time": 0.00712, "decode.loss_seg": 0.21967, "decode.acc_seg": 74.09613, "aux.loss_seg": 0.17533, "aux.acc_seg": 68.22661, "loss": 0.39501, "time": 0.40231} -{"mode": "train", "epoch": 148, "iter": 93250, "lr": 3e-05, "memory": 22018, "data_time": 0.00654, "decode.loss_seg": 0.21604, "decode.acc_seg": 73.75026, "aux.loss_seg": 0.17215, "aux.acc_seg": 67.96688, "loss": 0.38819, "time": 0.40102} -{"mode": "train", "epoch": 148, "iter": 93300, "lr": 3e-05, "memory": 22018, "data_time": 0.00717, "decode.loss_seg": 0.21689, "decode.acc_seg": 72.94536, "aux.loss_seg": 0.17075, "aux.acc_seg": 67.14852, "loss": 0.38764, "time": 0.40364} -{"mode": "train", "epoch": 148, "iter": 93350, "lr": 2e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.21386, "decode.acc_seg": 72.94094, "aux.loss_seg": 0.17189, "aux.acc_seg": 67.15998, "loss": 0.38576, "time": 0.4035} -{"mode": "train", "epoch": 149, "iter": 93400, "lr": 2e-05, "memory": 22018, "data_time": 0.17393, "decode.loss_seg": 0.21747, "decode.acc_seg": 73.15911, "aux.loss_seg": 0.16686, "aux.acc_seg": 67.84911, "loss": 0.38433, "time": 0.5704} -{"mode": "train", "epoch": 149, "iter": 93450, "lr": 2e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.21576, "decode.acc_seg": 74.42062, "aux.loss_seg": 0.17268, "aux.acc_seg": 68.54528, "loss": 0.38845, "time": 0.40056} -{"mode": "train", "epoch": 149, "iter": 93500, "lr": 2e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.22122, "decode.acc_seg": 73.68535, "aux.loss_seg": 0.17465, "aux.acc_seg": 67.89846, "loss": 0.39588, "time": 0.40114} -{"mode": "train", "epoch": 149, "iter": 93550, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.21777, "decode.acc_seg": 73.15073, "aux.loss_seg": 0.17298, "aux.acc_seg": 67.29509, "loss": 0.39074, "time": 0.40134} -{"mode": "train", "epoch": 149, "iter": 93600, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.21893, "decode.acc_seg": 73.31867, "aux.loss_seg": 0.17158, "aux.acc_seg": 67.71034, "loss": 0.39051, "time": 0.40312} -{"mode": "train", "epoch": 149, "iter": 93650, "lr": 2e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.20682, "decode.acc_seg": 73.61582, "aux.loss_seg": 0.16993, "aux.acc_seg": 67.65988, "loss": 0.37675, "time": 0.40108} -{"mode": "train", "epoch": 149, "iter": 93700, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.21696, "decode.acc_seg": 72.97503, "aux.loss_seg": 0.17279, "aux.acc_seg": 67.21485, "loss": 0.38975, "time": 0.40403} -{"mode": "train", "epoch": 149, "iter": 93750, "lr": 2e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.22555, "decode.acc_seg": 73.70039, "aux.loss_seg": 0.175, "aux.acc_seg": 68.04296, "loss": 0.40055, "time": 0.40374} -{"mode": "train", "epoch": 149, "iter": 93800, "lr": 2e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.22925, "decode.acc_seg": 72.62045, "aux.loss_seg": 0.18041, "aux.acc_seg": 66.72589, "loss": 0.40966, "time": 0.40232} -{"mode": "train", "epoch": 149, "iter": 93850, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20957, "decode.acc_seg": 73.42385, "aux.loss_seg": 0.16617, "aux.acc_seg": 67.77033, "loss": 0.37573, "time": 0.4034} -{"mode": "train", "epoch": 149, "iter": 93900, "lr": 2e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.21938, "decode.acc_seg": 73.96296, "aux.loss_seg": 0.17051, "aux.acc_seg": 68.41567, "loss": 0.38989, "time": 0.4034} -{"mode": "train", "epoch": 149, "iter": 93950, "lr": 2e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.22413, "decode.acc_seg": 73.3842, "aux.loss_seg": 0.18002, "aux.acc_seg": 67.2872, "loss": 0.40415, "time": 0.40243} -{"mode": "train", "epoch": 149, "iter": 94000, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.21278, "decode.acc_seg": 73.43446, "aux.loss_seg": 0.17002, "aux.acc_seg": 67.70024, "loss": 0.3828, "time": 0.40383} -{"mode": "train", "epoch": 150, "iter": 94050, "lr": 2e-05, "memory": 22018, "data_time": 0.17345, "decode.loss_seg": 0.21218, "decode.acc_seg": 73.19818, "aux.loss_seg": 0.1674, "aux.acc_seg": 67.51099, "loss": 0.37958, "time": 0.5693} -{"mode": "train", "epoch": 150, "iter": 94100, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.21535, "decode.acc_seg": 73.56916, "aux.loss_seg": 0.17159, "aux.acc_seg": 67.77024, "loss": 0.38694, "time": 0.40371} -{"mode": "train", "epoch": 150, "iter": 94150, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.21868, "decode.acc_seg": 74.29695, "aux.loss_seg": 0.17405, "aux.acc_seg": 68.3844, "loss": 0.39273, "time": 0.40315} -{"mode": "train", "epoch": 150, "iter": 94200, "lr": 2e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.20284, "decode.acc_seg": 72.26654, "aux.loss_seg": 0.16018, "aux.acc_seg": 66.92531, "loss": 0.36302, "time": 0.40299} -{"mode": "train", "epoch": 150, "iter": 94250, "lr": 2e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.2242, "decode.acc_seg": 72.54546, "aux.loss_seg": 0.17461, "aux.acc_seg": 66.9601, "loss": 0.39881, "time": 0.40285} -{"mode": "train", "epoch": 150, "iter": 94300, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.21314, "decode.acc_seg": 73.39526, "aux.loss_seg": 0.16937, "aux.acc_seg": 67.72486, "loss": 0.38251, "time": 0.40217} -{"mode": "train", "epoch": 150, "iter": 94350, "lr": 2e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.21534, "decode.acc_seg": 73.98414, "aux.loss_seg": 0.17241, "aux.acc_seg": 68.08904, "loss": 0.38775, "time": 0.40262} -{"mode": "train", "epoch": 150, "iter": 94400, "lr": 2e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.22893, "decode.acc_seg": 73.31594, "aux.loss_seg": 0.1755, "aux.acc_seg": 67.62599, "loss": 0.40444, "time": 0.40314} -{"mode": "train", "epoch": 150, "iter": 94450, "lr": 2e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.22008, "decode.acc_seg": 73.00033, "aux.loss_seg": 0.17569, "aux.acc_seg": 67.15307, "loss": 0.39576, "time": 0.40251} -{"mode": "train", "epoch": 150, "iter": 94500, "lr": 2e-05, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.22122, "decode.acc_seg": 73.13091, "aux.loss_seg": 0.174, "aux.acc_seg": 67.49939, "loss": 0.39521, "time": 0.4015} -{"mode": "train", "epoch": 150, "iter": 94550, "lr": 2e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.22114, "decode.acc_seg": 73.39502, "aux.loss_seg": 0.1739, "aux.acc_seg": 67.73414, "loss": 0.39504, "time": 0.40266} -{"mode": "train", "epoch": 150, "iter": 94600, "lr": 2e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.21073, "decode.acc_seg": 73.21105, "aux.loss_seg": 0.1668, "aux.acc_seg": 67.66683, "loss": 0.37753, "time": 0.40221} -{"mode": "train", "epoch": 150, "iter": 94650, "lr": 2e-05, "memory": 22018, "data_time": 0.00679, "decode.loss_seg": 0.21346, "decode.acc_seg": 73.01394, "aux.loss_seg": 0.16924, "aux.acc_seg": 67.20067, "loss": 0.3827, "time": 0.4017} -{"mode": "train", "epoch": 151, "iter": 94700, "lr": 2e-05, "memory": 22018, "data_time": 0.17001, "decode.loss_seg": 0.21123, "decode.acc_seg": 72.38865, "aux.loss_seg": 0.16802, "aux.acc_seg": 66.66309, "loss": 0.37925, "time": 0.56472} -{"mode": "train", "epoch": 151, "iter": 94750, "lr": 2e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.21432, "decode.acc_seg": 74.41946, "aux.loss_seg": 0.17279, "aux.acc_seg": 68.48886, "loss": 0.38711, "time": 0.40153} -{"mode": "train", "epoch": 151, "iter": 94800, "lr": 2e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.21585, "decode.acc_seg": 73.41997, "aux.loss_seg": 0.17164, "aux.acc_seg": 67.70811, "loss": 0.38749, "time": 0.40327} -{"mode": "train", "epoch": 151, "iter": 94850, "lr": 2e-05, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.21714, "decode.acc_seg": 73.71043, "aux.loss_seg": 0.17364, "aux.acc_seg": 67.99801, "loss": 0.39078, "time": 0.40272} -{"mode": "train", "epoch": 151, "iter": 94900, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.21813, "decode.acc_seg": 73.19324, "aux.loss_seg": 0.17257, "aux.acc_seg": 67.45299, "loss": 0.3907, "time": 0.40215} -{"mode": "train", "epoch": 151, "iter": 94950, "lr": 2e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.21187, "decode.acc_seg": 72.84095, "aux.loss_seg": 0.1689, "aux.acc_seg": 67.13115, "loss": 0.38078, "time": 0.4016} -{"mode": "train", "epoch": 151, "iter": 95000, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.21161, "decode.acc_seg": 73.23109, "aux.loss_seg": 0.17183, "aux.acc_seg": 67.43402, "loss": 0.38344, "time": 0.40263} -{"mode": "train", "epoch": 151, "iter": 95050, "lr": 2e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.21497, "decode.acc_seg": 74.22178, "aux.loss_seg": 0.1669, "aux.acc_seg": 68.55379, "loss": 0.38187, "time": 0.40394} -{"mode": "train", "epoch": 151, "iter": 95100, "lr": 2e-05, "memory": 22018, "data_time": 0.00929, "decode.loss_seg": 0.22276, "decode.acc_seg": 72.98842, "aux.loss_seg": 0.17245, "aux.acc_seg": 67.49626, "loss": 0.39521, "time": 0.40175} -{"mode": "train", "epoch": 151, "iter": 95150, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.22473, "decode.acc_seg": 73.79103, "aux.loss_seg": 0.17732, "aux.acc_seg": 67.85688, "loss": 0.40205, "time": 0.40081} -{"mode": "train", "epoch": 151, "iter": 95200, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.20955, "decode.acc_seg": 73.79982, "aux.loss_seg": 0.16769, "aux.acc_seg": 68.26134, "loss": 0.37724, "time": 0.40085} -{"mode": "train", "epoch": 151, "iter": 95250, "lr": 2e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.22047, "decode.acc_seg": 73.23474, "aux.loss_seg": 0.17327, "aux.acc_seg": 67.45467, "loss": 0.39374, "time": 0.40234} -{"mode": "train", "epoch": 152, "iter": 95300, "lr": 2e-05, "memory": 22018, "data_time": 0.16903, "decode.loss_seg": 0.22056, "decode.acc_seg": 73.53005, "aux.loss_seg": 0.17253, "aux.acc_seg": 67.8185, "loss": 0.39308, "time": 0.56265} -{"mode": "train", "epoch": 152, "iter": 95350, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.21199, "decode.acc_seg": 73.9805, "aux.loss_seg": 0.16658, "aux.acc_seg": 68.36681, "loss": 0.37857, "time": 0.40128} -{"mode": "train", "epoch": 152, "iter": 95400, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.2192, "decode.acc_seg": 72.81758, "aux.loss_seg": 0.17584, "aux.acc_seg": 66.92963, "loss": 0.39504, "time": 0.39984} -{"mode": "train", "epoch": 152, "iter": 95450, "lr": 2e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.21494, "decode.acc_seg": 73.71568, "aux.loss_seg": 0.16548, "aux.acc_seg": 68.2998, "loss": 0.38042, "time": 0.40084} -{"mode": "train", "epoch": 152, "iter": 95500, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.22131, "decode.acc_seg": 74.0826, "aux.loss_seg": 0.1766, "aux.acc_seg": 68.09014, "loss": 0.3979, "time": 0.40289} -{"mode": "train", "epoch": 152, "iter": 95550, "lr": 2e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.21712, "decode.acc_seg": 73.39339, "aux.loss_seg": 0.17175, "aux.acc_seg": 67.69081, "loss": 0.38887, "time": 0.40024} -{"mode": "train", "epoch": 152, "iter": 95600, "lr": 2e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.21263, "decode.acc_seg": 74.69984, "aux.loss_seg": 0.16788, "aux.acc_seg": 69.1439, "loss": 0.38051, "time": 0.40112} -{"mode": "train", "epoch": 152, "iter": 95650, "lr": 2e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.21953, "decode.acc_seg": 72.60878, "aux.loss_seg": 0.17101, "aux.acc_seg": 66.99988, "loss": 0.39053, "time": 0.40152} -{"mode": "train", "epoch": 152, "iter": 95700, "lr": 2e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.21406, "decode.acc_seg": 73.43714, "aux.loss_seg": 0.17122, "aux.acc_seg": 67.60794, "loss": 0.38528, "time": 0.40103} -{"mode": "train", "epoch": 152, "iter": 95750, "lr": 2e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.21684, "decode.acc_seg": 73.27026, "aux.loss_seg": 0.16951, "aux.acc_seg": 67.68769, "loss": 0.38636, "time": 0.40068} -{"mode": "train", "epoch": 152, "iter": 95800, "lr": 2e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.20147, "decode.acc_seg": 74.10648, "aux.loss_seg": 0.1636, "aux.acc_seg": 68.29228, "loss": 0.36507, "time": 0.40047} -{"mode": "train", "epoch": 152, "iter": 95850, "lr": 2e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.21262, "decode.acc_seg": 73.81891, "aux.loss_seg": 0.16853, "aux.acc_seg": 68.27731, "loss": 0.38116, "time": 0.39997} -{"mode": "train", "epoch": 152, "iter": 95900, "lr": 2e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.21433, "decode.acc_seg": 72.96993, "aux.loss_seg": 0.17062, "aux.acc_seg": 67.28755, "loss": 0.38496, "time": 0.40056} -{"mode": "train", "epoch": 153, "iter": 95950, "lr": 2e-05, "memory": 22018, "data_time": 0.17761, "decode.loss_seg": 0.22128, "decode.acc_seg": 74.39379, "aux.loss_seg": 0.17293, "aux.acc_seg": 68.73886, "loss": 0.39421, "time": 0.5698} -{"mode": "val", "epoch": 153, "iter": 96000, "lr": 2e-05, "mIoU": 0.4617, "mAcc": 0.5805, "aAcc": 0.8141, "IoU.wall": 0.7475, "IoU.building": 0.8059, "IoU.sky": 0.9372, "IoU.floor": 0.7996, "IoU.tree": 0.7242, "IoU.ceiling": 0.8271, "IoU.road": 0.8231, "IoU.bed ": 0.8615, "IoU.windowpane": 0.5917, "IoU.grass": 0.6663, "IoU.cabinet": 0.5839, "IoU.sidewalk": 0.6265, "IoU.person": 0.7641, "IoU.earth": 0.3534, "IoU.door": 0.4249, "IoU.table": 0.5594, "IoU.mountain": 0.5981, "IoU.plant": 0.4956, "IoU.curtain": 0.7107, "IoU.chair": 0.5227, "IoU.car": 0.8172, "IoU.water": 0.5486, "IoU.painting": 0.6962, "IoU.sofa": 0.5849, "IoU.shelf": 0.3769, "IoU.house": 0.4127, "IoU.sea": 0.5221, "IoU.mirror": 0.584, "IoU.rug": 0.6371, "IoU.field": 0.3178, "IoU.armchair": 0.3252, "IoU.seat": 0.5747, "IoU.fence": 0.3533, "IoU.desk": 0.451, "IoU.rock": 0.4384, "IoU.wardrobe": 0.5103, "IoU.lamp": 0.5602, "IoU.bathtub": 0.7354, "IoU.railing": 0.3271, "IoU.cushion": 0.5104, "IoU.base": 0.2744, "IoU.box": 0.2052, "IoU.column": 0.41, "IoU.signboard": 0.3324, "IoU.chest of drawers": 0.3754, "IoU.counter": 0.2591, "IoU.sand": 0.3202, "IoU.sink": 0.6809, "IoU.skyscraper": 0.6999, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6315, "IoU.grandstand": 0.4033, "IoU.path": 0.2513, "IoU.stairs": 0.2815, "IoU.runway": 0.6492, "IoU.case": 0.3439, "IoU.pool table": 0.9068, "IoU.pillow": 0.531, "IoU.screen door": 0.6659, "IoU.stairway": 0.3481, "IoU.river": 0.0858, "IoU.bridge": 0.5444, "IoU.bookcase": 0.4037, "IoU.blind": NaN, "IoU.coffee table": 0.5126, "IoU.toilet": 0.811, "IoU.flower": 0.369, "IoU.book": 0.4435, "IoU.hill": 0.1379, "IoU.bench": 0.3871, "IoU.countertop": 0.513, "IoU.stove": 0.6993, "IoU.palm": 0.4362, "IoU.kitchen island": 0.3504, "IoU.computer": 0.5622, "IoU.swivel chair": 0.4117, "IoU.boat": 0.5526, "IoU.bar": 0.3892, "IoU.arcade machine": 0.549, "IoU.hovel": 0.3368, "IoU.bus": 0.8647, "IoU.towel": 0.6128, "IoU.light": 0.5243, "IoU.truck": 0.3497, "IoU.tower": 0.2048, "IoU.chandelier": 0.6234, "IoU.awning": 0.3669, "IoU.streetlight": 0.1875, "IoU.booth": 0.5025, "IoU.television receiver": NaN, "IoU.airplane": 0.5394, "IoU.dirt track": 0.2593, "IoU.apparel": 0.3136, "IoU.pole": 0.1691, "IoU.land": 0.0081, "IoU.bannister": 0.1214, "IoU.escalator": 0.2664, "IoU.ottoman": 0.3395, "IoU.bottle": NaN, "IoU.buffet": 0.4301, "IoU.poster": 0.3261, "IoU.stage": 0.1322, "IoU.van": 0.4078, "IoU.ship": 0.6414, "IoU.fountain": 0.2659, "IoU.conveyer belt": 0.7345, "IoU.canopy": 0.2483, "IoU.washer": 0.7581, "IoU.plaything": 0.1856, "IoU.swimming pool": 0.737, "IoU.stool": 0.4157, "IoU.barrel": 0.3021, "IoU.basket": 0.2676, "IoU.waterfall": 0.5281, "IoU.tent": 0.9397, "IoU.bag": 0.0965, "IoU.minibike": 0.6224, "IoU.cradle": NaN, "IoU.oven": 0.4953, "IoU.ball": 0.3823, "IoU.food": 0.547, "IoU.step": 0.1609, "IoU.tank": 0.4776, "IoU.trade name": 0.2592, "IoU.microwave": 0.6666, "IoU.pot": 0.4726, "IoU.animal": NaN, "IoU.bicycle": 0.4893, "IoU.lake": 0.4349, "IoU.dishwasher": 0.4738, "IoU.screen": 0.5858, "IoU.blanket": 0.0857, "IoU.sculpture": 0.5881, "IoU.hood": 0.5361, "IoU.sconce": 0.4114, "IoU.vase": 0.3003, "IoU.traffic light": 0.2515, "IoU.tray": 0.0597, "IoU.ashcan": 0.3263, "IoU.fan": 0.5195, "IoU.pier": 0.6323, "IoU.crt screen": 0.0594, "IoU.plate": 0.5378, "IoU.monitor": 0.0908, "IoU.bulletin board": 0.2976, "IoU.shower": 0.0242, "IoU.radiator": 0.442, "IoU.glass": 0.1078, "IoU.clock": 0.4006, "IoU.flag": 0.3062, "Acc.wall": 0.8702, "Acc.building": 0.9039, "Acc.sky": 0.9697, "Acc.floor": 0.8968, "Acc.tree": 0.8705, "Acc.ceiling": 0.9046, "Acc.road": 0.8949, "Acc.bed ": 0.9471, "Acc.windowpane": 0.7663, "Acc.grass": 0.7968, "Acc.cabinet": 0.7233, "Acc.sidewalk": 0.7818, "Acc.person": 0.9085, "Acc.earth": 0.5244, "Acc.door": 0.5691, "Acc.table": 0.7148, "Acc.mountain": 0.7863, "Acc.plant": 0.6197, "Acc.curtain": 0.8459, "Acc.chair": 0.6775, "Acc.car": 0.9059, "Acc.water": 0.6995, "Acc.painting": 0.8476, "Acc.sofa": 0.7904, "Acc.shelf": 0.5136, "Acc.house": 0.6302, "Acc.sea": 0.6885, "Acc.mirror": 0.6812, "Acc.rug": 0.7188, "Acc.field": 0.4411, "Acc.armchair": 0.4588, "Acc.seat": 0.7791, "Acc.fence": 0.4757, "Acc.desk": 0.6491, "Acc.rock": 0.7034, "Acc.wardrobe": 0.6777, "Acc.lamp": 0.7037, "Acc.bathtub": 0.8199, "Acc.railing": 0.4792, "Acc.cushion": 0.6633, "Acc.base": 0.4065, "Acc.box": 0.2706, "Acc.column": 0.6287, "Acc.signboard": 0.4469, "Acc.chest of drawers": 0.5427, "Acc.counter": 0.2989, "Acc.sand": 0.5091, "Acc.sink": 0.7957, "Acc.skyscraper": 0.8751, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8128, "Acc.grandstand": 0.5857, "Acc.path": 0.3446, "Acc.stairs": 0.3515, "Acc.runway": 0.8376, "Acc.case": 0.4369, "Acc.pool table": 0.9596, "Acc.pillow": 0.6349, "Acc.screen door": 0.7549, "Acc.stairway": 0.4651, "Acc.river": 0.197, "Acc.bridge": 0.6469, "Acc.bookcase": 0.4867, "Acc.blind": NaN, "Acc.coffee table": 0.7908, "Acc.toilet": 0.8761, "Acc.flower": 0.4947, "Acc.book": 0.6673, "Acc.hill": 0.1585, "Acc.bench": 0.4422, "Acc.countertop": 0.6667, "Acc.stove": 0.8083, "Acc.palm": 0.6796, "Acc.kitchen island": 0.6346, "Acc.computer": 0.6671, "Acc.swivel chair": 0.5489, "Acc.boat": 0.6759, "Acc.bar": 0.5228, "Acc.arcade machine": 0.5745, "Acc.hovel": 0.3707, "Acc.bus": 0.926, "Acc.towel": 0.7294, "Acc.light": 0.5957, "Acc.truck": 0.4766, "Acc.tower": 0.3227, "Acc.chandelier": 0.7665, "Acc.awning": 0.4729, "Acc.streetlight": 0.2443, "Acc.booth": 0.6403, "Acc.television receiver": NaN, "Acc.airplane": 0.6562, "Acc.dirt track": 0.466, "Acc.apparel": 0.4626, "Acc.pole": 0.2561, "Acc.land": 0.0095, "Acc.bannister": 0.1641, "Acc.escalator": 0.3361, "Acc.ottoman": 0.515, "Acc.bottle": NaN, "Acc.buffet": 0.4976, "Acc.poster": 0.4386, "Acc.stage": 0.1938, "Acc.van": 0.5189, "Acc.ship": 0.9217, "Acc.fountain": 0.279, "Acc.conveyer belt": 0.8578, "Acc.canopy": 0.3135, "Acc.washer": 0.7904, "Acc.plaything": 0.2669, "Acc.swimming pool": 0.8184, "Acc.stool": 0.4975, "Acc.barrel": 0.6162, "Acc.basket": 0.4345, "Acc.waterfall": 0.6088, "Acc.tent": 0.9836, "Acc.bag": 0.1252, "Acc.minibike": 0.7738, "Acc.cradle": NaN, "Acc.oven": 0.6092, "Acc.ball": 0.4457, "Acc.food": 0.6526, "Acc.step": 0.1944, "Acc.tank": 0.5654, "Acc.trade name": 0.3361, "Acc.microwave": 0.7108, "Acc.pot": 0.5642, "Acc.animal": NaN, "Acc.bicycle": 0.6976, "Acc.lake": 0.5169, "Acc.dishwasher": 0.6001, "Acc.screen": 0.7777, "Acc.blanket": 0.095, "Acc.sculpture": 0.719, "Acc.hood": 0.5884, "Acc.sconce": 0.51, "Acc.vase": 0.4788, "Acc.traffic light": 0.3569, "Acc.tray": 0.1077, "Acc.ashcan": 0.4017, "Acc.fan": 0.6765, "Acc.pier": 0.8632, "Acc.crt screen": 0.1637, "Acc.plate": 0.7081, "Acc.monitor": 0.1038, "Acc.bulletin board": 0.4827, "Acc.shower": 0.0417, "Acc.radiator": 0.5174, "Acc.glass": 0.1149, "Acc.clock": 0.46, "Acc.flag": 0.3952} -{"mode": "train", "epoch": 153, "iter": 96050, "lr": 2e-05, "memory": 22018, "data_time": 1.41302, "decode.loss_seg": 0.20642, "decode.acc_seg": 74.28808, "aux.loss_seg": 0.1683, "aux.acc_seg": 68.38655, "loss": 0.37472, "time": 1.80637} -{"mode": "train", "epoch": 153, "iter": 96100, "lr": 2e-05, "memory": 22018, "data_time": 0.00596, "decode.loss_seg": 0.21576, "decode.acc_seg": 74.41459, "aux.loss_seg": 0.17471, "aux.acc_seg": 68.36009, "loss": 0.39047, "time": 0.39867} -{"mode": "train", "epoch": 153, "iter": 96150, "lr": 2e-05, "memory": 22018, "data_time": 0.00594, "decode.loss_seg": 0.21254, "decode.acc_seg": 74.3198, "aux.loss_seg": 0.17111, "aux.acc_seg": 68.67674, "loss": 0.38366, "time": 0.399} -{"mode": "train", "epoch": 153, "iter": 96200, "lr": 2e-05, "memory": 22018, "data_time": 0.00601, "decode.loss_seg": 0.21243, "decode.acc_seg": 72.98973, "aux.loss_seg": 0.17009, "aux.acc_seg": 67.29257, "loss": 0.38252, "time": 0.39933} -{"mode": "train", "epoch": 153, "iter": 96250, "lr": 2e-05, "memory": 22018, "data_time": 0.00583, "decode.loss_seg": 0.22114, "decode.acc_seg": 73.9439, "aux.loss_seg": 0.17258, "aux.acc_seg": 68.22744, "loss": 0.39371, "time": 0.39896} -{"mode": "train", "epoch": 153, "iter": 96300, "lr": 2e-05, "memory": 22018, "data_time": 0.00572, "decode.loss_seg": 0.21185, "decode.acc_seg": 73.90926, "aux.loss_seg": 0.16766, "aux.acc_seg": 68.11373, "loss": 0.37952, "time": 0.3987} -{"mode": "train", "epoch": 153, "iter": 96350, "lr": 2e-05, "memory": 22018, "data_time": 0.0057, "decode.loss_seg": 0.21856, "decode.acc_seg": 74.02256, "aux.loss_seg": 0.17435, "aux.acc_seg": 68.1754, "loss": 0.39291, "time": 0.39923} -{"mode": "train", "epoch": 153, "iter": 96400, "lr": 2e-05, "memory": 22018, "data_time": 0.00653, "decode.loss_seg": 0.21895, "decode.acc_seg": 74.56293, "aux.loss_seg": 0.17882, "aux.acc_seg": 68.11932, "loss": 0.39777, "time": 0.39944} -{"mode": "train", "epoch": 153, "iter": 96450, "lr": 2e-05, "memory": 22018, "data_time": 0.00657, "decode.loss_seg": 0.21314, "decode.acc_seg": 73.43813, "aux.loss_seg": 0.16962, "aux.acc_seg": 67.7527, "loss": 0.38277, "time": 0.39972} -{"mode": "train", "epoch": 153, "iter": 96500, "lr": 2e-05, "memory": 22018, "data_time": 0.00646, "decode.loss_seg": 0.2163, "decode.acc_seg": 73.64778, "aux.loss_seg": 0.17196, "aux.acc_seg": 68.05729, "loss": 0.38826, "time": 0.39907} -{"mode": "train", "epoch": 154, "iter": 96550, "lr": 2e-05, "memory": 22018, "data_time": 0.17485, "decode.loss_seg": 0.21007, "decode.acc_seg": 74.5875, "aux.loss_seg": 0.16867, "aux.acc_seg": 68.7561, "loss": 0.37874, "time": 0.56801} -{"mode": "train", "epoch": 154, "iter": 96600, "lr": 2e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.21629, "decode.acc_seg": 73.29761, "aux.loss_seg": 0.17557, "aux.acc_seg": 67.24045, "loss": 0.39186, "time": 0.40144} -{"mode": "train", "epoch": 154, "iter": 96650, "lr": 2e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.20997, "decode.acc_seg": 74.59304, "aux.loss_seg": 0.16898, "aux.acc_seg": 68.73644, "loss": 0.37895, "time": 0.40401} -{"mode": "train", "epoch": 154, "iter": 96700, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.21441, "decode.acc_seg": 73.43929, "aux.loss_seg": 0.17314, "aux.acc_seg": 67.46549, "loss": 0.38755, "time": 0.40288} -{"mode": "train", "epoch": 154, "iter": 96750, "lr": 2e-05, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.20629, "decode.acc_seg": 73.77536, "aux.loss_seg": 0.16315, "aux.acc_seg": 68.25855, "loss": 0.36944, "time": 0.40255} -{"mode": "train", "epoch": 154, "iter": 96800, "lr": 2e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.21057, "decode.acc_seg": 72.56552, "aux.loss_seg": 0.16713, "aux.acc_seg": 67.02325, "loss": 0.3777, "time": 0.40257} -{"mode": "train", "epoch": 154, "iter": 96850, "lr": 2e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.20922, "decode.acc_seg": 72.68517, "aux.loss_seg": 0.165, "aux.acc_seg": 67.50066, "loss": 0.37422, "time": 0.40465} -{"mode": "train", "epoch": 154, "iter": 96900, "lr": 2e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.21146, "decode.acc_seg": 73.99668, "aux.loss_seg": 0.17253, "aux.acc_seg": 67.88321, "loss": 0.38399, "time": 0.40729} -{"mode": "train", "epoch": 154, "iter": 96950, "lr": 2e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.21032, "decode.acc_seg": 75.50384, "aux.loss_seg": 0.17232, "aux.acc_seg": 69.55131, "loss": 0.38264, "time": 0.40295} -{"mode": "train", "epoch": 154, "iter": 97000, "lr": 2e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.20796, "decode.acc_seg": 74.69619, "aux.loss_seg": 0.16519, "aux.acc_seg": 68.95756, "loss": 0.37315, "time": 0.4042} -{"mode": "train", "epoch": 154, "iter": 97050, "lr": 2e-05, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.21535, "decode.acc_seg": 73.09114, "aux.loss_seg": 0.16174, "aux.acc_seg": 67.89135, "loss": 0.37709, "time": 0.40554} -{"mode": "train", "epoch": 154, "iter": 97100, "lr": 2e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.22197, "decode.acc_seg": 73.17762, "aux.loss_seg": 0.17315, "aux.acc_seg": 67.59076, "loss": 0.39512, "time": 0.40337} -{"mode": "train", "epoch": 154, "iter": 97150, "lr": 2e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.22765, "decode.acc_seg": 73.65372, "aux.loss_seg": 0.18166, "aux.acc_seg": 67.66884, "loss": 0.40931, "time": 0.40311} -{"mode": "train", "epoch": 155, "iter": 97200, "lr": 2e-05, "memory": 22018, "data_time": 0.17359, "decode.loss_seg": 0.21019, "decode.acc_seg": 73.73147, "aux.loss_seg": 0.16893, "aux.acc_seg": 67.94016, "loss": 0.37912, "time": 0.56879} -{"mode": "train", "epoch": 155, "iter": 97250, "lr": 2e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.21828, "decode.acc_seg": 74.73154, "aux.loss_seg": 0.17245, "aux.acc_seg": 68.99568, "loss": 0.39072, "time": 0.40275} -{"mode": "train", "epoch": 155, "iter": 97300, "lr": 2e-05, "memory": 22018, "data_time": 0.00985, "decode.loss_seg": 0.20758, "decode.acc_seg": 72.84005, "aux.loss_seg": 0.16717, "aux.acc_seg": 67.05141, "loss": 0.37475, "time": 0.40353} -{"mode": "train", "epoch": 155, "iter": 97350, "lr": 2e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.20871, "decode.acc_seg": 72.70404, "aux.loss_seg": 0.16806, "aux.acc_seg": 67.00893, "loss": 0.37677, "time": 0.40334} -{"mode": "train", "epoch": 155, "iter": 97400, "lr": 2e-05, "memory": 22018, "data_time": 0.00992, "decode.loss_seg": 0.21042, "decode.acc_seg": 74.49166, "aux.loss_seg": 0.16453, "aux.acc_seg": 69.01527, "loss": 0.37495, "time": 0.40182} -{"mode": "train", "epoch": 155, "iter": 97450, "lr": 2e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.21387, "decode.acc_seg": 74.71734, "aux.loss_seg": 0.17067, "aux.acc_seg": 68.78099, "loss": 0.38454, "time": 0.40386} -{"mode": "train", "epoch": 155, "iter": 97500, "lr": 2e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.21959, "decode.acc_seg": 74.17834, "aux.loss_seg": 0.17158, "aux.acc_seg": 68.61143, "loss": 0.39117, "time": 0.40258} -{"mode": "train", "epoch": 155, "iter": 97550, "lr": 2e-05, "memory": 22018, "data_time": 0.0095, "decode.loss_seg": 0.22013, "decode.acc_seg": 74.61479, "aux.loss_seg": 0.17305, "aux.acc_seg": 68.82117, "loss": 0.39318, "time": 0.40302} -{"mode": "train", "epoch": 155, "iter": 97600, "lr": 2e-05, "memory": 22018, "data_time": 0.00977, "decode.loss_seg": 0.21713, "decode.acc_seg": 73.39533, "aux.loss_seg": 0.17815, "aux.acc_seg": 67.20164, "loss": 0.39528, "time": 0.40265} -{"mode": "train", "epoch": 155, "iter": 97650, "lr": 2e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.21623, "decode.acc_seg": 73.24536, "aux.loss_seg": 0.17215, "aux.acc_seg": 67.36529, "loss": 0.38838, "time": 0.40273} -{"mode": "train", "epoch": 155, "iter": 97700, "lr": 2e-05, "memory": 22018, "data_time": 0.00942, "decode.loss_seg": 0.20922, "decode.acc_seg": 73.38798, "aux.loss_seg": 0.16538, "aux.acc_seg": 67.91576, "loss": 0.3746, "time": 0.40265} -{"mode": "train", "epoch": 155, "iter": 97750, "lr": 2e-05, "memory": 22018, "data_time": 0.01018, "decode.loss_seg": 0.21538, "decode.acc_seg": 74.61406, "aux.loss_seg": 0.16765, "aux.acc_seg": 68.94777, "loss": 0.38303, "time": 0.40305} -{"mode": "train", "epoch": 155, "iter": 97800, "lr": 2e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.21758, "decode.acc_seg": 73.01678, "aux.loss_seg": 0.17019, "aux.acc_seg": 67.38041, "loss": 0.38777, "time": 0.40354} -{"mode": "train", "epoch": 156, "iter": 97850, "lr": 2e-05, "memory": 22018, "data_time": 0.17431, "decode.loss_seg": 0.20314, "decode.acc_seg": 73.90958, "aux.loss_seg": 0.16341, "aux.acc_seg": 68.20767, "loss": 0.36655, "time": 0.56792} -{"mode": "train", "epoch": 156, "iter": 97900, "lr": 2e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.21769, "decode.acc_seg": 73.92884, "aux.loss_seg": 0.17309, "aux.acc_seg": 68.24351, "loss": 0.39078, "time": 0.40159} -{"mode": "train", "epoch": 156, "iter": 97950, "lr": 2e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.20465, "decode.acc_seg": 73.42984, "aux.loss_seg": 0.16719, "aux.acc_seg": 67.639, "loss": 0.37184, "time": 0.40216} -{"mode": "train", "epoch": 156, "iter": 98000, "lr": 2e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.22019, "decode.acc_seg": 74.87916, "aux.loss_seg": 0.17502, "aux.acc_seg": 68.85061, "loss": 0.3952, "time": 0.40066} -{"mode": "train", "epoch": 156, "iter": 98050, "lr": 2e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.20459, "decode.acc_seg": 73.2275, "aux.loss_seg": 0.16264, "aux.acc_seg": 67.81498, "loss": 0.36722, "time": 0.40036} -{"mode": "train", "epoch": 156, "iter": 98100, "lr": 2e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.21074, "decode.acc_seg": 73.27397, "aux.loss_seg": 0.16791, "aux.acc_seg": 67.46141, "loss": 0.37865, "time": 0.40017} -{"mode": "train", "epoch": 156, "iter": 98150, "lr": 2e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.21481, "decode.acc_seg": 73.93743, "aux.loss_seg": 0.17548, "aux.acc_seg": 67.70608, "loss": 0.39029, "time": 0.40064} -{"mode": "train", "epoch": 156, "iter": 98200, "lr": 2e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.20518, "decode.acc_seg": 73.99213, "aux.loss_seg": 0.16068, "aux.acc_seg": 68.78607, "loss": 0.36586, "time": 0.40029} -{"mode": "train", "epoch": 156, "iter": 98250, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.21269, "decode.acc_seg": 73.6144, "aux.loss_seg": 0.16865, "aux.acc_seg": 68.00107, "loss": 0.38134, "time": 0.40066} -{"mode": "train", "epoch": 156, "iter": 98300, "lr": 2e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.20864, "decode.acc_seg": 73.42216, "aux.loss_seg": 0.1673, "aux.acc_seg": 67.74453, "loss": 0.37594, "time": 0.40129} -{"mode": "train", "epoch": 156, "iter": 98350, "lr": 2e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.21009, "decode.acc_seg": 74.93826, "aux.loss_seg": 0.17056, "aux.acc_seg": 69.14171, "loss": 0.38065, "time": 0.40003} -{"mode": "train", "epoch": 156, "iter": 98400, "lr": 2e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.22794, "decode.acc_seg": 73.79431, "aux.loss_seg": 0.17534, "aux.acc_seg": 68.09824, "loss": 0.40328, "time": 0.4018} -{"mode": "train", "epoch": 157, "iter": 98450, "lr": 2e-05, "memory": 22018, "data_time": 0.17329, "decode.loss_seg": 0.21609, "decode.acc_seg": 73.37311, "aux.loss_seg": 0.17016, "aux.acc_seg": 67.76698, "loss": 0.38625, "time": 0.56745} -{"mode": "train", "epoch": 157, "iter": 98500, "lr": 2e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.22303, "decode.acc_seg": 73.43874, "aux.loss_seg": 0.17447, "aux.acc_seg": 67.54133, "loss": 0.39749, "time": 0.4012} -{"mode": "train", "epoch": 157, "iter": 98550, "lr": 2e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.20181, "decode.acc_seg": 73.32358, "aux.loss_seg": 0.16001, "aux.acc_seg": 67.93066, "loss": 0.36182, "time": 0.40213} -{"mode": "train", "epoch": 157, "iter": 98600, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.205, "decode.acc_seg": 73.16466, "aux.loss_seg": 0.1698, "aux.acc_seg": 67.23148, "loss": 0.3748, "time": 0.40288} -{"mode": "train", "epoch": 157, "iter": 98650, "lr": 2e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.2089, "decode.acc_seg": 74.60108, "aux.loss_seg": 0.16451, "aux.acc_seg": 69.20812, "loss": 0.37342, "time": 0.40312} -{"mode": "train", "epoch": 157, "iter": 98700, "lr": 2e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.20927, "decode.acc_seg": 72.92805, "aux.loss_seg": 0.16659, "aux.acc_seg": 67.45546, "loss": 0.37586, "time": 0.40223} -{"mode": "train", "epoch": 157, "iter": 98750, "lr": 2e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.20924, "decode.acc_seg": 73.06538, "aux.loss_seg": 0.16605, "aux.acc_seg": 67.4933, "loss": 0.37529, "time": 0.40403} -{"mode": "train", "epoch": 157, "iter": 98800, "lr": 2e-05, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.20366, "decode.acc_seg": 72.84318, "aux.loss_seg": 0.16848, "aux.acc_seg": 66.99255, "loss": 0.37214, "time": 0.40324} -{"mode": "train", "epoch": 157, "iter": 98850, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.21297, "decode.acc_seg": 74.99493, "aux.loss_seg": 0.17216, "aux.acc_seg": 69.06027, "loss": 0.38513, "time": 0.40194} -{"mode": "train", "epoch": 157, "iter": 98900, "lr": 2e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.22159, "decode.acc_seg": 74.12307, "aux.loss_seg": 0.17586, "aux.acc_seg": 68.1802, "loss": 0.39746, "time": 0.40271} -{"mode": "train", "epoch": 157, "iter": 98950, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.20604, "decode.acc_seg": 73.33172, "aux.loss_seg": 0.16666, "aux.acc_seg": 67.56248, "loss": 0.3727, "time": 0.40187} -{"mode": "train", "epoch": 157, "iter": 99000, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.21081, "decode.acc_seg": 74.3774, "aux.loss_seg": 0.16606, "aux.acc_seg": 68.78737, "loss": 0.37687, "time": 0.40419} -{"mode": "train", "epoch": 157, "iter": 99050, "lr": 2e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.21161, "decode.acc_seg": 74.04935, "aux.loss_seg": 0.17327, "aux.acc_seg": 68.01396, "loss": 0.38488, "time": 0.40182} -{"mode": "train", "epoch": 158, "iter": 99100, "lr": 2e-05, "memory": 22018, "data_time": 0.16633, "decode.loss_seg": 0.21325, "decode.acc_seg": 74.52153, "aux.loss_seg": 0.17026, "aux.acc_seg": 68.69006, "loss": 0.38351, "time": 0.55832} -{"mode": "train", "epoch": 158, "iter": 99150, "lr": 2e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.20599, "decode.acc_seg": 74.14028, "aux.loss_seg": 0.16937, "aux.acc_seg": 68.22518, "loss": 0.37536, "time": 0.40058} -{"mode": "train", "epoch": 158, "iter": 99200, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.20582, "decode.acc_seg": 73.86567, "aux.loss_seg": 0.16286, "aux.acc_seg": 68.34306, "loss": 0.36868, "time": 0.4034} -{"mode": "train", "epoch": 158, "iter": 99250, "lr": 2e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.21474, "decode.acc_seg": 74.43451, "aux.loss_seg": 0.17349, "aux.acc_seg": 68.43319, "loss": 0.38823, "time": 0.40177} -{"mode": "train", "epoch": 158, "iter": 99300, "lr": 2e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.20986, "decode.acc_seg": 73.31904, "aux.loss_seg": 0.16429, "aux.acc_seg": 67.79211, "loss": 0.37415, "time": 0.40189} -{"mode": "train", "epoch": 158, "iter": 99350, "lr": 2e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.20678, "decode.acc_seg": 73.90265, "aux.loss_seg": 0.16489, "aux.acc_seg": 68.17612, "loss": 0.37167, "time": 0.40223} -{"mode": "train", "epoch": 158, "iter": 99400, "lr": 2e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.216, "decode.acc_seg": 73.3991, "aux.loss_seg": 0.17359, "aux.acc_seg": 67.47238, "loss": 0.38959, "time": 0.40222} -{"mode": "train", "epoch": 158, "iter": 99450, "lr": 2e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.2146, "decode.acc_seg": 73.91462, "aux.loss_seg": 0.16909, "aux.acc_seg": 68.20918, "loss": 0.38369, "time": 0.40351} -{"mode": "train", "epoch": 158, "iter": 99500, "lr": 2e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.21053, "decode.acc_seg": 73.72262, "aux.loss_seg": 0.16651, "aux.acc_seg": 68.04872, "loss": 0.37703, "time": 0.40129} -{"mode": "train", "epoch": 158, "iter": 99550, "lr": 2e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.20194, "decode.acc_seg": 74.62666, "aux.loss_seg": 0.16523, "aux.acc_seg": 68.85335, "loss": 0.36716, "time": 0.40098} -{"mode": "train", "epoch": 158, "iter": 99600, "lr": 2e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.21418, "decode.acc_seg": 74.13333, "aux.loss_seg": 0.1687, "aux.acc_seg": 68.56752, "loss": 0.38288, "time": 0.40072} -{"mode": "train", "epoch": 158, "iter": 99650, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.21668, "decode.acc_seg": 73.68406, "aux.loss_seg": 0.1758, "aux.acc_seg": 67.65234, "loss": 0.39248, "time": 0.40247} -{"mode": "train", "epoch": 159, "iter": 99700, "lr": 2e-05, "memory": 22018, "data_time": 0.17851, "decode.loss_seg": 0.21232, "decode.acc_seg": 73.77288, "aux.loss_seg": 0.164, "aux.acc_seg": 68.34099, "loss": 0.37632, "time": 0.5716} -{"mode": "train", "epoch": 159, "iter": 99750, "lr": 2e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.20322, "decode.acc_seg": 74.88895, "aux.loss_seg": 0.16177, "aux.acc_seg": 69.43515, "loss": 0.36499, "time": 0.40069} -{"mode": "train", "epoch": 159, "iter": 99800, "lr": 2e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.21796, "decode.acc_seg": 73.91238, "aux.loss_seg": 0.1722, "aux.acc_seg": 68.18629, "loss": 0.39016, "time": 0.40162} -{"mode": "train", "epoch": 159, "iter": 99850, "lr": 2e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.20782, "decode.acc_seg": 73.56585, "aux.loss_seg": 0.16773, "aux.acc_seg": 67.82384, "loss": 0.37555, "time": 0.39971} -{"mode": "train", "epoch": 159, "iter": 99900, "lr": 2e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.20976, "decode.acc_seg": 73.46063, "aux.loss_seg": 0.16651, "aux.acc_seg": 67.89742, "loss": 0.37627, "time": 0.40113} -{"mode": "train", "epoch": 159, "iter": 99950, "lr": 2e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.20565, "decode.acc_seg": 73.60201, "aux.loss_seg": 0.16383, "aux.acc_seg": 67.96938, "loss": 0.36947, "time": 0.39877} -{"mode": "train", "epoch": 159, "iter": 100000, "lr": 2e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.21081, "decode.acc_seg": 74.60111, "aux.loss_seg": 0.16785, "aux.acc_seg": 68.85464, "loss": 0.37866, "time": 0.40046} -{"mode": "train", "epoch": 159, "iter": 100050, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.2084, "decode.acc_seg": 73.05344, "aux.loss_seg": 0.16976, "aux.acc_seg": 67.08793, "loss": 0.37816, "time": 0.39927} -{"mode": "train", "epoch": 159, "iter": 100100, "lr": 2e-05, "memory": 22018, "data_time": 0.00696, "decode.loss_seg": 0.21206, "decode.acc_seg": 73.30224, "aux.loss_seg": 0.16504, "aux.acc_seg": 67.93083, "loss": 0.3771, "time": 0.39917} -{"mode": "train", "epoch": 159, "iter": 100150, "lr": 2e-05, "memory": 22018, "data_time": 0.00717, "decode.loss_seg": 0.20697, "decode.acc_seg": 74.18059, "aux.loss_seg": 0.16846, "aux.acc_seg": 68.31221, "loss": 0.37543, "time": 0.39951} -{"mode": "train", "epoch": 159, "iter": 100200, "lr": 2e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.2106, "decode.acc_seg": 73.73842, "aux.loss_seg": 0.16908, "aux.acc_seg": 68.01392, "loss": 0.37968, "time": 0.40038} -{"mode": "train", "epoch": 159, "iter": 100250, "lr": 2e-05, "memory": 22018, "data_time": 0.00751, "decode.loss_seg": 0.21266, "decode.acc_seg": 74.23234, "aux.loss_seg": 0.16579, "aux.acc_seg": 68.72675, "loss": 0.37845, "time": 0.4014} -{"mode": "train", "epoch": 159, "iter": 100300, "lr": 2e-05, "memory": 22018, "data_time": 0.00724, "decode.loss_seg": 0.21603, "decode.acc_seg": 73.94218, "aux.loss_seg": 0.1699, "aux.acc_seg": 68.26274, "loss": 0.38593, "time": 0.40059} -{"mode": "train", "epoch": 160, "iter": 100350, "lr": 2e-05, "memory": 22018, "data_time": 0.17315, "decode.loss_seg": 0.19732, "decode.acc_seg": 73.78518, "aux.loss_seg": 0.16288, "aux.acc_seg": 68.15945, "loss": 0.36019, "time": 0.56547} -{"mode": "train", "epoch": 160, "iter": 100400, "lr": 2e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.20748, "decode.acc_seg": 73.69887, "aux.loss_seg": 0.16543, "aux.acc_seg": 68.07432, "loss": 0.37291, "time": 0.40088} -{"mode": "train", "epoch": 160, "iter": 100450, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.20601, "decode.acc_seg": 73.71821, "aux.loss_seg": 0.16571, "aux.acc_seg": 68.09701, "loss": 0.37172, "time": 0.40171} -{"mode": "train", "epoch": 160, "iter": 100500, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.20935, "decode.acc_seg": 74.59898, "aux.loss_seg": 0.16936, "aux.acc_seg": 68.64012, "loss": 0.37871, "time": 0.40137} -{"mode": "train", "epoch": 160, "iter": 100550, "lr": 2e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.21655, "decode.acc_seg": 73.5903, "aux.loss_seg": 0.17456, "aux.acc_seg": 67.73564, "loss": 0.39111, "time": 0.40257} -{"mode": "train", "epoch": 160, "iter": 100600, "lr": 2e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.20848, "decode.acc_seg": 73.62275, "aux.loss_seg": 0.16653, "aux.acc_seg": 68.00297, "loss": 0.37502, "time": 0.40063} -{"mode": "train", "epoch": 160, "iter": 100650, "lr": 2e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.21454, "decode.acc_seg": 74.10876, "aux.loss_seg": 0.17991, "aux.acc_seg": 67.75467, "loss": 0.39445, "time": 0.40202} -{"mode": "train", "epoch": 160, "iter": 100700, "lr": 2e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.21316, "decode.acc_seg": 74.50218, "aux.loss_seg": 0.16607, "aux.acc_seg": 69.02332, "loss": 0.37923, "time": 0.40511} -{"mode": "train", "epoch": 160, "iter": 100750, "lr": 2e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.19894, "decode.acc_seg": 74.6498, "aux.loss_seg": 0.16457, "aux.acc_seg": 68.76796, "loss": 0.36351, "time": 0.4008} -{"mode": "train", "epoch": 160, "iter": 100800, "lr": 2e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.2076, "decode.acc_seg": 73.10633, "aux.loss_seg": 0.16436, "aux.acc_seg": 67.76529, "loss": 0.37196, "time": 0.40581} -{"mode": "train", "epoch": 160, "iter": 100850, "lr": 2e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.20851, "decode.acc_seg": 74.07291, "aux.loss_seg": 0.16539, "aux.acc_seg": 68.47736, "loss": 0.3739, "time": 0.40376} -{"mode": "train", "epoch": 160, "iter": 100900, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.21035, "decode.acc_seg": 75.00309, "aux.loss_seg": 0.16907, "aux.acc_seg": 69.31899, "loss": 0.37941, "time": 0.40367} -{"mode": "train", "epoch": 160, "iter": 100950, "lr": 2e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.20312, "decode.acc_seg": 74.47473, "aux.loss_seg": 0.16271, "aux.acc_seg": 69.06908, "loss": 0.36583, "time": 0.40455} -{"mode": "train", "epoch": 161, "iter": 101000, "lr": 2e-05, "memory": 22018, "data_time": 0.17722, "decode.loss_seg": 0.21001, "decode.acc_seg": 73.60296, "aux.loss_seg": 0.16921, "aux.acc_seg": 67.76831, "loss": 0.37922, "time": 0.57414} -{"mode": "train", "epoch": 161, "iter": 101050, "lr": 2e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.20669, "decode.acc_seg": 73.35487, "aux.loss_seg": 0.16358, "aux.acc_seg": 67.93743, "loss": 0.37027, "time": 0.40357} -{"mode": "train", "epoch": 161, "iter": 101100, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.20851, "decode.acc_seg": 74.19297, "aux.loss_seg": 0.16663, "aux.acc_seg": 68.53161, "loss": 0.37514, "time": 0.40403} -{"mode": "train", "epoch": 161, "iter": 101150, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.20709, "decode.acc_seg": 73.00905, "aux.loss_seg": 0.16669, "aux.acc_seg": 67.37895, "loss": 0.37378, "time": 0.40537} -{"mode": "train", "epoch": 161, "iter": 101200, "lr": 2e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.20262, "decode.acc_seg": 74.72652, "aux.loss_seg": 0.16685, "aux.acc_seg": 68.92537, "loss": 0.36947, "time": 0.40343} -{"mode": "train", "epoch": 161, "iter": 101250, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.21161, "decode.acc_seg": 73.28961, "aux.loss_seg": 0.17112, "aux.acc_seg": 67.40436, "loss": 0.38273, "time": 0.40319} -{"mode": "train", "epoch": 161, "iter": 101300, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19518, "decode.acc_seg": 73.61202, "aux.loss_seg": 0.15875, "aux.acc_seg": 68.06947, "loss": 0.35394, "time": 0.40287} -{"mode": "train", "epoch": 161, "iter": 101350, "lr": 2e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.21062, "decode.acc_seg": 74.40291, "aux.loss_seg": 0.16955, "aux.acc_seg": 68.72515, "loss": 0.38017, "time": 0.4038} -{"mode": "train", "epoch": 161, "iter": 101400, "lr": 2e-05, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.2055, "decode.acc_seg": 73.61003, "aux.loss_seg": 0.16773, "aux.acc_seg": 67.68475, "loss": 0.37323, "time": 0.40353} -{"mode": "train", "epoch": 161, "iter": 101450, "lr": 2e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.20669, "decode.acc_seg": 74.9773, "aux.loss_seg": 0.16744, "aux.acc_seg": 69.3419, "loss": 0.37413, "time": 0.40364} -{"mode": "train", "epoch": 161, "iter": 101500, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.21459, "decode.acc_seg": 74.83219, "aux.loss_seg": 0.17104, "aux.acc_seg": 68.87116, "loss": 0.38563, "time": 0.40297} -{"mode": "train", "epoch": 161, "iter": 101550, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.21414, "decode.acc_seg": 73.50343, "aux.loss_seg": 0.17234, "aux.acc_seg": 67.70017, "loss": 0.38648, "time": 0.40142} -{"mode": "train", "epoch": 162, "iter": 101600, "lr": 2e-05, "memory": 22018, "data_time": 0.19791, "decode.loss_seg": 0.20586, "decode.acc_seg": 73.58972, "aux.loss_seg": 0.16331, "aux.acc_seg": 68.0621, "loss": 0.36916, "time": 0.59463} -{"mode": "train", "epoch": 162, "iter": 101650, "lr": 2e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.20557, "decode.acc_seg": 73.76795, "aux.loss_seg": 0.16306, "aux.acc_seg": 68.22738, "loss": 0.36864, "time": 0.40292} -{"mode": "train", "epoch": 162, "iter": 101700, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.20849, "decode.acc_seg": 73.18203, "aux.loss_seg": 0.16831, "aux.acc_seg": 67.36365, "loss": 0.3768, "time": 0.40317} -{"mode": "train", "epoch": 162, "iter": 101750, "lr": 2e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.20446, "decode.acc_seg": 74.02923, "aux.loss_seg": 0.16271, "aux.acc_seg": 68.5813, "loss": 0.36718, "time": 0.40339} -{"mode": "train", "epoch": 162, "iter": 101800, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.20838, "decode.acc_seg": 74.36242, "aux.loss_seg": 0.16537, "aux.acc_seg": 68.84322, "loss": 0.37375, "time": 0.40391} -{"mode": "train", "epoch": 162, "iter": 101850, "lr": 2e-05, "memory": 22018, "data_time": 0.00933, "decode.loss_seg": 0.21163, "decode.acc_seg": 73.74321, "aux.loss_seg": 0.17102, "aux.acc_seg": 68.01897, "loss": 0.38265, "time": 0.40259} -{"mode": "train", "epoch": 162, "iter": 101900, "lr": 2e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.2029, "decode.acc_seg": 74.19271, "aux.loss_seg": 0.16183, "aux.acc_seg": 68.5632, "loss": 0.36473, "time": 0.40319} -{"mode": "train", "epoch": 162, "iter": 101950, "lr": 2e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.22108, "decode.acc_seg": 73.96647, "aux.loss_seg": 0.17344, "aux.acc_seg": 68.29612, "loss": 0.39452, "time": 0.40396} -{"mode": "train", "epoch": 162, "iter": 102000, "lr": 2e-05, "memory": 22018, "data_time": 0.00949, "decode.loss_seg": 0.21118, "decode.acc_seg": 73.67598, "aux.loss_seg": 0.17123, "aux.acc_seg": 67.85202, "loss": 0.38241, "time": 0.40216} -{"mode": "train", "epoch": 162, "iter": 102050, "lr": 2e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.21343, "decode.acc_seg": 74.41936, "aux.loss_seg": 0.16597, "aux.acc_seg": 68.89088, "loss": 0.3794, "time": 0.40149} -{"mode": "train", "epoch": 162, "iter": 102100, "lr": 2e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.20868, "decode.acc_seg": 73.36876, "aux.loss_seg": 0.17263, "aux.acc_seg": 67.35204, "loss": 0.38132, "time": 0.40221} -{"mode": "train", "epoch": 162, "iter": 102150, "lr": 2e-05, "memory": 22018, "data_time": 0.00927, "decode.loss_seg": 0.20284, "decode.acc_seg": 75.27011, "aux.loss_seg": 0.16615, "aux.acc_seg": 69.42108, "loss": 0.36899, "time": 0.4027} -{"mode": "train", "epoch": 162, "iter": 102200, "lr": 2e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.21096, "decode.acc_seg": 73.61681, "aux.loss_seg": 0.16863, "aux.acc_seg": 67.98538, "loss": 0.37959, "time": 0.40372} -{"mode": "train", "epoch": 163, "iter": 102250, "lr": 2e-05, "memory": 22018, "data_time": 0.16783, "decode.loss_seg": 0.20966, "decode.acc_seg": 73.88001, "aux.loss_seg": 0.16733, "aux.acc_seg": 68.32059, "loss": 0.37699, "time": 0.56012} -{"mode": "train", "epoch": 163, "iter": 102300, "lr": 2e-05, "memory": 22018, "data_time": 0.00728, "decode.loss_seg": 0.20945, "decode.acc_seg": 74.12686, "aux.loss_seg": 0.16711, "aux.acc_seg": 68.59854, "loss": 0.37656, "time": 0.39916} -{"mode": "train", "epoch": 163, "iter": 102350, "lr": 2e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.20307, "decode.acc_seg": 72.8655, "aux.loss_seg": 0.16489, "aux.acc_seg": 67.13433, "loss": 0.36796, "time": 0.40122} -{"mode": "train", "epoch": 163, "iter": 102400, "lr": 2e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.20313, "decode.acc_seg": 73.5308, "aux.loss_seg": 0.16355, "aux.acc_seg": 67.8872, "loss": 0.36668, "time": 0.40091} -{"mode": "train", "epoch": 163, "iter": 102450, "lr": 2e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.20424, "decode.acc_seg": 75.16058, "aux.loss_seg": 0.16698, "aux.acc_seg": 69.31907, "loss": 0.37122, "time": 0.39964} -{"mode": "train", "epoch": 163, "iter": 102500, "lr": 2e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.20524, "decode.acc_seg": 74.17896, "aux.loss_seg": 0.16909, "aux.acc_seg": 68.06864, "loss": 0.37433, "time": 0.39971} -{"mode": "train", "epoch": 163, "iter": 102550, "lr": 2e-05, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.20533, "decode.acc_seg": 73.91633, "aux.loss_seg": 0.16994, "aux.acc_seg": 67.97494, "loss": 0.37526, "time": 0.40058} -{"mode": "train", "epoch": 163, "iter": 102600, "lr": 2e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.206, "decode.acc_seg": 74.08945, "aux.loss_seg": 0.16529, "aux.acc_seg": 68.49149, "loss": 0.37129, "time": 0.39964} -{"mode": "train", "epoch": 163, "iter": 102650, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.20992, "decode.acc_seg": 74.27232, "aux.loss_seg": 0.16271, "aux.acc_seg": 68.91459, "loss": 0.37263, "time": 0.39985} -{"mode": "train", "epoch": 163, "iter": 102700, "lr": 2e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.21014, "decode.acc_seg": 74.82986, "aux.loss_seg": 0.1682, "aux.acc_seg": 69.0923, "loss": 0.37834, "time": 0.40022} -{"mode": "train", "epoch": 163, "iter": 102750, "lr": 2e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.2102, "decode.acc_seg": 73.08086, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.16609, "loss": 0.38206, "time": 0.39973} -{"mode": "train", "epoch": 163, "iter": 102800, "lr": 2e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.19917, "decode.acc_seg": 74.33088, "aux.loss_seg": 0.16065, "aux.acc_seg": 68.81344, "loss": 0.35982, "time": 0.40005} -{"mode": "train", "epoch": 163, "iter": 102850, "lr": 2e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.20364, "decode.acc_seg": 74.42481, "aux.loss_seg": 0.16285, "aux.acc_seg": 68.98499, "loss": 0.36649, "time": 0.39981} -{"mode": "train", "epoch": 164, "iter": 102900, "lr": 2e-05, "memory": 22018, "data_time": 0.16975, "decode.loss_seg": 0.20616, "decode.acc_seg": 73.23178, "aux.loss_seg": 0.16807, "aux.acc_seg": 67.39034, "loss": 0.37423, "time": 0.56412} -{"mode": "train", "epoch": 164, "iter": 102950, "lr": 2e-05, "memory": 22018, "data_time": 0.007, "decode.loss_seg": 0.20163, "decode.acc_seg": 73.6875, "aux.loss_seg": 0.16926, "aux.acc_seg": 67.63112, "loss": 0.37089, "time": 0.39994} -{"mode": "train", "epoch": 164, "iter": 103000, "lr": 2e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.20522, "decode.acc_seg": 74.17526, "aux.loss_seg": 0.16566, "aux.acc_seg": 68.46153, "loss": 0.37088, "time": 0.39994} -{"mode": "train", "epoch": 164, "iter": 103050, "lr": 2e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.20447, "decode.acc_seg": 73.7887, "aux.loss_seg": 0.16242, "aux.acc_seg": 68.23428, "loss": 0.36689, "time": 0.40083} -{"mode": "train", "epoch": 164, "iter": 103100, "lr": 2e-05, "memory": 22018, "data_time": 0.00798, "decode.loss_seg": 0.20951, "decode.acc_seg": 73.54025, "aux.loss_seg": 0.16654, "aux.acc_seg": 67.94518, "loss": 0.37605, "time": 0.40085} -{"mode": "train", "epoch": 164, "iter": 103150, "lr": 2e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.21052, "decode.acc_seg": 74.30653, "aux.loss_seg": 0.17057, "aux.acc_seg": 68.40041, "loss": 0.38109, "time": 0.4007} -{"mode": "train", "epoch": 164, "iter": 103200, "lr": 2e-05, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.20259, "decode.acc_seg": 73.54404, "aux.loss_seg": 0.16346, "aux.acc_seg": 67.88919, "loss": 0.36605, "time": 0.40118} -{"mode": "train", "epoch": 164, "iter": 103250, "lr": 2e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.21034, "decode.acc_seg": 74.00037, "aux.loss_seg": 0.16434, "aux.acc_seg": 68.63083, "loss": 0.37468, "time": 0.40044} -{"mode": "train", "epoch": 164, "iter": 103300, "lr": 2e-05, "memory": 22018, "data_time": 0.00716, "decode.loss_seg": 0.21128, "decode.acc_seg": 74.55033, "aux.loss_seg": 0.17082, "aux.acc_seg": 68.56621, "loss": 0.3821, "time": 0.40081} -{"mode": "train", "epoch": 164, "iter": 103350, "lr": 2e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.2178, "decode.acc_seg": 73.4169, "aux.loss_seg": 0.17129, "aux.acc_seg": 67.79009, "loss": 0.38909, "time": 0.40057} -{"mode": "train", "epoch": 164, "iter": 103400, "lr": 2e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.204, "decode.acc_seg": 74.33683, "aux.loss_seg": 0.16374, "aux.acc_seg": 68.58237, "loss": 0.36774, "time": 0.40015} -{"mode": "train", "epoch": 164, "iter": 103450, "lr": 2e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.21184, "decode.acc_seg": 74.55812, "aux.loss_seg": 0.17164, "aux.acc_seg": 68.80645, "loss": 0.38347, "time": 0.39974} -{"mode": "train", "epoch": 165, "iter": 103500, "lr": 2e-05, "memory": 22018, "data_time": 0.17472, "decode.loss_seg": 0.20647, "decode.acc_seg": 73.54073, "aux.loss_seg": 0.16704, "aux.acc_seg": 67.79227, "loss": 0.37351, "time": 0.56756} -{"mode": "train", "epoch": 165, "iter": 103550, "lr": 2e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.19886, "decode.acc_seg": 73.72729, "aux.loss_seg": 0.16051, "aux.acc_seg": 68.39385, "loss": 0.35937, "time": 0.40003} -{"mode": "train", "epoch": 165, "iter": 103600, "lr": 2e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.2043, "decode.acc_seg": 74.76115, "aux.loss_seg": 0.16617, "aux.acc_seg": 68.92298, "loss": 0.37047, "time": 0.39932} -{"mode": "train", "epoch": 165, "iter": 103650, "lr": 2e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.20529, "decode.acc_seg": 73.29769, "aux.loss_seg": 0.16716, "aux.acc_seg": 67.56837, "loss": 0.37245, "time": 0.40025} -{"mode": "train", "epoch": 165, "iter": 103700, "lr": 2e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.20698, "decode.acc_seg": 74.11628, "aux.loss_seg": 0.16943, "aux.acc_seg": 68.15648, "loss": 0.37641, "time": 0.40331} -{"mode": "train", "epoch": 165, "iter": 103750, "lr": 2e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.20488, "decode.acc_seg": 73.56172, "aux.loss_seg": 0.16046, "aux.acc_seg": 68.12418, "loss": 0.36535, "time": 0.39991} -{"mode": "train", "epoch": 165, "iter": 103800, "lr": 2e-05, "memory": 22018, "data_time": 0.00679, "decode.loss_seg": 0.20447, "decode.acc_seg": 74.50515, "aux.loss_seg": 0.16773, "aux.acc_seg": 68.70157, "loss": 0.3722, "time": 0.39923} -{"mode": "train", "epoch": 165, "iter": 103850, "lr": 2e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.21036, "decode.acc_seg": 74.69882, "aux.loss_seg": 0.17102, "aux.acc_seg": 68.80973, "loss": 0.38138, "time": 0.40033} -{"mode": "train", "epoch": 165, "iter": 103900, "lr": 2e-05, "memory": 22018, "data_time": 0.00683, "decode.loss_seg": 0.20433, "decode.acc_seg": 73.53263, "aux.loss_seg": 0.16652, "aux.acc_seg": 67.8279, "loss": 0.37085, "time": 0.39954} -{"mode": "train", "epoch": 165, "iter": 103950, "lr": 2e-05, "memory": 22018, "data_time": 0.00684, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.08393, "aux.loss_seg": 0.16739, "aux.acc_seg": 67.40809, "loss": 0.37405, "time": 0.39889} -{"mode": "train", "epoch": 165, "iter": 104000, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.20237, "decode.acc_seg": 73.8904, "aux.loss_seg": 0.1628, "aux.acc_seg": 68.2958, "loss": 0.36517, "time": 0.40014} -{"mode": "train", "epoch": 165, "iter": 104050, "lr": 2e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.20597, "decode.acc_seg": 74.62073, "aux.loss_seg": 0.16271, "aux.acc_seg": 69.30812, "loss": 0.36868, "time": 0.39942} -{"mode": "train", "epoch": 165, "iter": 104100, "lr": 2e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.20591, "decode.acc_seg": 73.21022, "aux.loss_seg": 0.16963, "aux.acc_seg": 67.39, "loss": 0.37554, "time": 0.40017} -{"mode": "train", "epoch": 166, "iter": 104150, "lr": 2e-05, "memory": 22018, "data_time": 0.18452, "decode.loss_seg": 0.20713, "decode.acc_seg": 74.38485, "aux.loss_seg": 0.16966, "aux.acc_seg": 68.59347, "loss": 0.37679, "time": 0.57846} -{"mode": "train", "epoch": 166, "iter": 104200, "lr": 2e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.20866, "decode.acc_seg": 74.04668, "aux.loss_seg": 0.16763, "aux.acc_seg": 68.37129, "loss": 0.37629, "time": 0.40065} -{"mode": "train", "epoch": 166, "iter": 104250, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20714, "decode.acc_seg": 74.19784, "aux.loss_seg": 0.16549, "aux.acc_seg": 68.59308, "loss": 0.37263, "time": 0.40185} -{"mode": "train", "epoch": 166, "iter": 104300, "lr": 2e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.20323, "decode.acc_seg": 74.06587, "aux.loss_seg": 0.16384, "aux.acc_seg": 68.5183, "loss": 0.36707, "time": 0.4023} -{"mode": "train", "epoch": 166, "iter": 104350, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.20639, "decode.acc_seg": 73.78145, "aux.loss_seg": 0.1652, "aux.acc_seg": 68.06137, "loss": 0.37159, "time": 0.40296} -{"mode": "train", "epoch": 166, "iter": 104400, "lr": 2e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.20385, "decode.acc_seg": 74.34463, "aux.loss_seg": 0.16721, "aux.acc_seg": 68.49259, "loss": 0.37106, "time": 0.4021} -{"mode": "train", "epoch": 166, "iter": 104450, "lr": 2e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.20181, "decode.acc_seg": 74.50424, "aux.loss_seg": 0.16308, "aux.acc_seg": 68.82484, "loss": 0.36488, "time": 0.40255} -{"mode": "train", "epoch": 166, "iter": 104500, "lr": 2e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.20558, "decode.acc_seg": 73.85345, "aux.loss_seg": 0.16849, "aux.acc_seg": 67.88177, "loss": 0.37407, "time": 0.40044} -{"mode": "train", "epoch": 166, "iter": 104550, "lr": 2e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.19958, "decode.acc_seg": 74.21526, "aux.loss_seg": 0.15948, "aux.acc_seg": 68.81869, "loss": 0.35906, "time": 0.40089} -{"mode": "train", "epoch": 166, "iter": 104600, "lr": 2e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.20404, "decode.acc_seg": 74.3727, "aux.loss_seg": 0.16525, "aux.acc_seg": 68.59266, "loss": 0.36929, "time": 0.40003} -{"mode": "train", "epoch": 166, "iter": 104650, "lr": 2e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.20496, "decode.acc_seg": 73.94845, "aux.loss_seg": 0.16814, "aux.acc_seg": 68.12967, "loss": 0.37309, "time": 0.40081} -{"mode": "train", "epoch": 166, "iter": 104700, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.20955, "decode.acc_seg": 74.87393, "aux.loss_seg": 0.17221, "aux.acc_seg": 68.94085, "loss": 0.38176, "time": 0.4019} -{"mode": "train", "epoch": 167, "iter": 104750, "lr": 2e-05, "memory": 22018, "data_time": 0.16767, "decode.loss_seg": 0.20231, "decode.acc_seg": 73.94152, "aux.loss_seg": 0.16257, "aux.acc_seg": 68.48348, "loss": 0.36488, "time": 0.56052} -{"mode": "train", "epoch": 167, "iter": 104800, "lr": 2e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.19961, "decode.acc_seg": 73.87178, "aux.loss_seg": 0.1604, "aux.acc_seg": 68.46179, "loss": 0.36002, "time": 0.40016} -{"mode": "train", "epoch": 167, "iter": 104850, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.20092, "decode.acc_seg": 74.3238, "aux.loss_seg": 0.16332, "aux.acc_seg": 68.69819, "loss": 0.36424, "time": 0.40253} -{"mode": "train", "epoch": 167, "iter": 104900, "lr": 2e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.20071, "decode.acc_seg": 74.11687, "aux.loss_seg": 0.1626, "aux.acc_seg": 68.55646, "loss": 0.36331, "time": 0.40217} -{"mode": "train", "epoch": 167, "iter": 104950, "lr": 2e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.20847, "decode.acc_seg": 74.07267, "aux.loss_seg": 0.16475, "aux.acc_seg": 68.42163, "loss": 0.37322, "time": 0.40243} -{"mode": "train", "epoch": 167, "iter": 105000, "lr": 2e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.19986, "decode.acc_seg": 73.8031, "aux.loss_seg": 0.16061, "aux.acc_seg": 68.16043, "loss": 0.36047, "time": 0.40363} -{"mode": "train", "epoch": 167, "iter": 105050, "lr": 2e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.20809, "decode.acc_seg": 74.02122, "aux.loss_seg": 0.16401, "aux.acc_seg": 68.66135, "loss": 0.3721, "time": 0.40299} -{"mode": "train", "epoch": 167, "iter": 105100, "lr": 2e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.20054, "decode.acc_seg": 74.18533, "aux.loss_seg": 0.16234, "aux.acc_seg": 68.57893, "loss": 0.36288, "time": 0.40274} -{"mode": "train", "epoch": 167, "iter": 105150, "lr": 2e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.201, "decode.acc_seg": 73.98574, "aux.loss_seg": 0.16377, "aux.acc_seg": 68.40679, "loss": 0.36477, "time": 0.40336} -{"mode": "train", "epoch": 167, "iter": 105200, "lr": 2e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.20943, "decode.acc_seg": 72.8964, "aux.loss_seg": 0.16748, "aux.acc_seg": 67.27553, "loss": 0.37691, "time": 0.4032} -{"mode": "train", "epoch": 167, "iter": 105250, "lr": 2e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.20487, "decode.acc_seg": 73.27368, "aux.loss_seg": 0.16706, "aux.acc_seg": 67.4906, "loss": 0.37193, "time": 0.40251} -{"mode": "train", "epoch": 167, "iter": 105300, "lr": 2e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.20574, "decode.acc_seg": 74.53666, "aux.loss_seg": 0.16448, "aux.acc_seg": 68.99719, "loss": 0.37022, "time": 0.40259} -{"mode": "train", "epoch": 167, "iter": 105350, "lr": 2e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.20478, "decode.acc_seg": 73.19844, "aux.loss_seg": 0.16562, "aux.acc_seg": 67.42063, "loss": 0.3704, "time": 0.40079} -{"mode": "train", "epoch": 168, "iter": 105400, "lr": 2e-05, "memory": 22018, "data_time": 0.16937, "decode.loss_seg": 0.20204, "decode.acc_seg": 74.05389, "aux.loss_seg": 0.16587, "aux.acc_seg": 68.34497, "loss": 0.36792, "time": 0.56351} -{"mode": "train", "epoch": 168, "iter": 105450, "lr": 2e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.20443, "decode.acc_seg": 73.89938, "aux.loss_seg": 0.16755, "aux.acc_seg": 68.17935, "loss": 0.37198, "time": 0.40321} -{"mode": "train", "epoch": 168, "iter": 105500, "lr": 2e-05, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.20948, "decode.acc_seg": 73.34749, "aux.loss_seg": 0.16635, "aux.acc_seg": 67.87825, "loss": 0.37582, "time": 0.40262} -{"mode": "train", "epoch": 168, "iter": 105550, "lr": 2e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.20142, "decode.acc_seg": 74.43167, "aux.loss_seg": 0.16256, "aux.acc_seg": 68.78677, "loss": 0.36398, "time": 0.40235} -{"mode": "train", "epoch": 168, "iter": 105600, "lr": 2e-05, "memory": 22018, "data_time": 0.00993, "decode.loss_seg": 0.2094, "decode.acc_seg": 73.3373, "aux.loss_seg": 0.16448, "aux.acc_seg": 67.81553, "loss": 0.37388, "time": 0.40316} -{"mode": "train", "epoch": 168, "iter": 105650, "lr": 2e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.20922, "decode.acc_seg": 74.43361, "aux.loss_seg": 0.16621, "aux.acc_seg": 68.88361, "loss": 0.37543, "time": 0.4029} -{"mode": "train", "epoch": 168, "iter": 105700, "lr": 2e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.20257, "decode.acc_seg": 73.59402, "aux.loss_seg": 0.16135, "aux.acc_seg": 68.02938, "loss": 0.36392, "time": 0.40643} -{"mode": "train", "epoch": 168, "iter": 105750, "lr": 2e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.20615, "decode.acc_seg": 73.78365, "aux.loss_seg": 0.16333, "aux.acc_seg": 68.16533, "loss": 0.36949, "time": 0.40406} -{"mode": "train", "epoch": 168, "iter": 105800, "lr": 2e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.20201, "decode.acc_seg": 74.17062, "aux.loss_seg": 0.1663, "aux.acc_seg": 68.2523, "loss": 0.36831, "time": 0.40511} -{"mode": "train", "epoch": 168, "iter": 105850, "lr": 2e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.20162, "decode.acc_seg": 73.82057, "aux.loss_seg": 0.16772, "aux.acc_seg": 67.78468, "loss": 0.36934, "time": 0.40455} -{"mode": "train", "epoch": 168, "iter": 105900, "lr": 2e-05, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.19811, "decode.acc_seg": 73.47272, "aux.loss_seg": 0.16165, "aux.acc_seg": 67.89739, "loss": 0.35976, "time": 0.4059} -{"mode": "train", "epoch": 168, "iter": 105950, "lr": 2e-05, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.20621, "decode.acc_seg": 74.92578, "aux.loss_seg": 0.16891, "aux.acc_seg": 69.14329, "loss": 0.37512, "time": 0.40445} -{"mode": "train", "epoch": 168, "iter": 106000, "lr": 2e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.20285, "decode.acc_seg": 73.78649, "aux.loss_seg": 0.1623, "aux.acc_seg": 68.11602, "loss": 0.36514, "time": 0.40487} -{"mode": "train", "epoch": 169, "iter": 106050, "lr": 2e-05, "memory": 22018, "data_time": 0.17175, "decode.loss_seg": 0.20641, "decode.acc_seg": 74.47029, "aux.loss_seg": 0.16156, "aux.acc_seg": 69.26281, "loss": 0.36797, "time": 0.56408} -{"mode": "train", "epoch": 169, "iter": 106100, "lr": 2e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.20637, "decode.acc_seg": 73.66485, "aux.loss_seg": 0.16408, "aux.acc_seg": 68.06553, "loss": 0.37044, "time": 0.40026} -{"mode": "train", "epoch": 169, "iter": 106150, "lr": 2e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.19953, "decode.acc_seg": 75.26302, "aux.loss_seg": 0.16472, "aux.acc_seg": 69.60728, "loss": 0.36425, "time": 0.40112} -{"mode": "train", "epoch": 169, "iter": 106200, "lr": 2e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.20397, "decode.acc_seg": 72.88501, "aux.loss_seg": 0.16426, "aux.acc_seg": 67.36532, "loss": 0.36824, "time": 0.40218} -{"mode": "train", "epoch": 169, "iter": 106250, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.20362, "decode.acc_seg": 72.92739, "aux.loss_seg": 0.1682, "aux.acc_seg": 67.04912, "loss": 0.37182, "time": 0.40119} -{"mode": "train", "epoch": 169, "iter": 106300, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.2056, "decode.acc_seg": 74.60646, "aux.loss_seg": 0.16648, "aux.acc_seg": 68.90449, "loss": 0.37208, "time": 0.4021} -{"mode": "train", "epoch": 169, "iter": 106350, "lr": 2e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.20566, "decode.acc_seg": 74.76677, "aux.loss_seg": 0.1675, "aux.acc_seg": 68.86649, "loss": 0.37316, "time": 0.40093} -{"mode": "train", "epoch": 169, "iter": 106400, "lr": 2e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.20586, "decode.acc_seg": 74.63231, "aux.loss_seg": 0.16427, "aux.acc_seg": 69.07803, "loss": 0.37014, "time": 0.40193} -{"mode": "train", "epoch": 169, "iter": 106450, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.20669, "decode.acc_seg": 73.85651, "aux.loss_seg": 0.16488, "aux.acc_seg": 68.20888, "loss": 0.37157, "time": 0.4014} -{"mode": "train", "epoch": 169, "iter": 106500, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.20226, "decode.acc_seg": 75.13346, "aux.loss_seg": 0.16164, "aux.acc_seg": 69.64814, "loss": 0.3639, "time": 0.40134} -{"mode": "train", "epoch": 169, "iter": 106550, "lr": 2e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.20649, "decode.acc_seg": 73.66665, "aux.loss_seg": 0.16593, "aux.acc_seg": 68.03127, "loss": 0.37242, "time": 0.40191} -{"mode": "train", "epoch": 169, "iter": 106600, "lr": 2e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.19857, "decode.acc_seg": 74.40926, "aux.loss_seg": 0.15912, "aux.acc_seg": 68.89685, "loss": 0.35769, "time": 0.40171} -{"mode": "train", "epoch": 170, "iter": 106650, "lr": 2e-05, "memory": 22018, "data_time": 0.17283, "decode.loss_seg": 0.19859, "decode.acc_seg": 73.65451, "aux.loss_seg": 0.16543, "aux.acc_seg": 67.93166, "loss": 0.36403, "time": 0.56677} -{"mode": "train", "epoch": 170, "iter": 106700, "lr": 2e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.20052, "decode.acc_seg": 73.36972, "aux.loss_seg": 0.1622, "aux.acc_seg": 67.87242, "loss": 0.36272, "time": 0.40218} -{"mode": "train", "epoch": 170, "iter": 106750, "lr": 2e-05, "memory": 22018, "data_time": 0.01005, "decode.loss_seg": 0.19735, "decode.acc_seg": 73.70185, "aux.loss_seg": 0.16183, "aux.acc_seg": 68.0571, "loss": 0.35918, "time": 0.40451} -{"mode": "train", "epoch": 170, "iter": 106800, "lr": 2e-05, "memory": 22018, "data_time": 0.00997, "decode.loss_seg": 0.19886, "decode.acc_seg": 72.57551, "aux.loss_seg": 0.15523, "aux.acc_seg": 67.48256, "loss": 0.3541, "time": 0.4041} -{"mode": "train", "epoch": 170, "iter": 106850, "lr": 2e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.20299, "decode.acc_seg": 74.48409, "aux.loss_seg": 0.1633, "aux.acc_seg": 68.97958, "loss": 0.36629, "time": 0.40382} -{"mode": "train", "epoch": 170, "iter": 106900, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20143, "decode.acc_seg": 74.66445, "aux.loss_seg": 0.1663, "aux.acc_seg": 68.75273, "loss": 0.36774, "time": 0.40456} -{"mode": "train", "epoch": 170, "iter": 106950, "lr": 2e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.20526, "decode.acc_seg": 74.32054, "aux.loss_seg": 0.16362, "aux.acc_seg": 68.81026, "loss": 0.36888, "time": 0.40276} -{"mode": "train", "epoch": 170, "iter": 107000, "lr": 2e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.20007, "decode.acc_seg": 73.6008, "aux.loss_seg": 0.16331, "aux.acc_seg": 67.92552, "loss": 0.36338, "time": 0.40301} -{"mode": "train", "epoch": 170, "iter": 107050, "lr": 2e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.20369, "decode.acc_seg": 73.86511, "aux.loss_seg": 0.16544, "aux.acc_seg": 68.25351, "loss": 0.36914, "time": 0.40169} -{"mode": "train", "epoch": 170, "iter": 107100, "lr": 2e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.20121, "decode.acc_seg": 72.9773, "aux.loss_seg": 0.16252, "aux.acc_seg": 67.42173, "loss": 0.36373, "time": 0.40208} -{"mode": "train", "epoch": 170, "iter": 107150, "lr": 2e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.20572, "decode.acc_seg": 73.61943, "aux.loss_seg": 0.16344, "aux.acc_seg": 68.22455, "loss": 0.36916, "time": 0.40334} -{"mode": "train", "epoch": 170, "iter": 107200, "lr": 2e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.21934, "decode.acc_seg": 73.39424, "aux.loss_seg": 0.17571, "aux.acc_seg": 67.64943, "loss": 0.39505, "time": 0.40297} -{"mode": "train", "epoch": 170, "iter": 107250, "lr": 2e-05, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.20142, "decode.acc_seg": 73.39414, "aux.loss_seg": 0.1601, "aux.acc_seg": 67.86479, "loss": 0.36152, "time": 0.40319} -{"mode": "train", "epoch": 171, "iter": 107300, "lr": 2e-05, "memory": 22018, "data_time": 0.16858, "decode.loss_seg": 0.20655, "decode.acc_seg": 74.37476, "aux.loss_seg": 0.16607, "aux.acc_seg": 68.82579, "loss": 0.37262, "time": 0.56339} -{"mode": "train", "epoch": 171, "iter": 107350, "lr": 2e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.20269, "decode.acc_seg": 74.17835, "aux.loss_seg": 0.16569, "aux.acc_seg": 68.40675, "loss": 0.36838, "time": 0.40029} -{"mode": "train", "epoch": 171, "iter": 107400, "lr": 2e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.19829, "decode.acc_seg": 74.57767, "aux.loss_seg": 0.16324, "aux.acc_seg": 68.91657, "loss": 0.36153, "time": 0.39893} -{"mode": "train", "epoch": 171, "iter": 107450, "lr": 2e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.20009, "decode.acc_seg": 72.69574, "aux.loss_seg": 0.16322, "aux.acc_seg": 66.99326, "loss": 0.36331, "time": 0.40074} -{"mode": "train", "epoch": 171, "iter": 107500, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.19822, "decode.acc_seg": 74.64553, "aux.loss_seg": 0.15919, "aux.acc_seg": 69.08918, "loss": 0.35741, "time": 0.40025} -{"mode": "train", "epoch": 171, "iter": 107550, "lr": 2e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.20275, "decode.acc_seg": 74.56966, "aux.loss_seg": 0.16186, "aux.acc_seg": 69.08392, "loss": 0.36461, "time": 0.40109} -{"mode": "train", "epoch": 171, "iter": 107600, "lr": 2e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.19893, "decode.acc_seg": 73.26065, "aux.loss_seg": 0.15874, "aux.acc_seg": 67.91993, "loss": 0.35766, "time": 0.40152} -{"mode": "train", "epoch": 171, "iter": 107650, "lr": 2e-05, "memory": 22018, "data_time": 0.00716, "decode.loss_seg": 0.1991, "decode.acc_seg": 74.16419, "aux.loss_seg": 0.16216, "aux.acc_seg": 68.64914, "loss": 0.36125, "time": 0.40076} -{"mode": "train", "epoch": 171, "iter": 107700, "lr": 2e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.20765, "decode.acc_seg": 74.15441, "aux.loss_seg": 0.1696, "aux.acc_seg": 68.42676, "loss": 0.37726, "time": 0.40117} -{"mode": "train", "epoch": 171, "iter": 107750, "lr": 2e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.20455, "decode.acc_seg": 73.48563, "aux.loss_seg": 0.1687, "aux.acc_seg": 67.5971, "loss": 0.37324, "time": 0.40105} -{"mode": "train", "epoch": 171, "iter": 107800, "lr": 2e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.21381, "decode.acc_seg": 74.35607, "aux.loss_seg": 0.16917, "aux.acc_seg": 68.84661, "loss": 0.38298, "time": 0.40064} -{"mode": "train", "epoch": 171, "iter": 107850, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.20012, "decode.acc_seg": 74.25012, "aux.loss_seg": 0.16564, "aux.acc_seg": 68.56749, "loss": 0.36575, "time": 0.39954} -{"mode": "train", "epoch": 171, "iter": 107900, "lr": 2e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.19773, "decode.acc_seg": 74.09731, "aux.loss_seg": 0.16065, "aux.acc_seg": 68.49949, "loss": 0.35838, "time": 0.40003} -{"mode": "train", "epoch": 172, "iter": 107950, "lr": 2e-05, "memory": 22018, "data_time": 0.17104, "decode.loss_seg": 0.19843, "decode.acc_seg": 74.117, "aux.loss_seg": 0.16042, "aux.acc_seg": 68.65394, "loss": 0.35885, "time": 0.56469} -{"mode": "train", "epoch": 172, "iter": 108000, "lr": 2e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.20505, "decode.acc_seg": 74.0612, "aux.loss_seg": 0.16526, "aux.acc_seg": 68.46806, "loss": 0.37032, "time": 0.40192} -{"mode": "train", "epoch": 172, "iter": 108050, "lr": 2e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.19864, "decode.acc_seg": 74.00626, "aux.loss_seg": 0.16073, "aux.acc_seg": 68.47218, "loss": 0.35937, "time": 0.40449} -{"mode": "train", "epoch": 172, "iter": 108100, "lr": 2e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.19697, "decode.acc_seg": 74.76447, "aux.loss_seg": 0.15928, "aux.acc_seg": 69.29438, "loss": 0.35625, "time": 0.40392} -{"mode": "train", "epoch": 172, "iter": 108150, "lr": 2e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19696, "decode.acc_seg": 74.14142, "aux.loss_seg": 0.16372, "aux.acc_seg": 68.37635, "loss": 0.36068, "time": 0.4026} -{"mode": "train", "epoch": 172, "iter": 108200, "lr": 2e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.20876, "decode.acc_seg": 73.27322, "aux.loss_seg": 0.16686, "aux.acc_seg": 67.53364, "loss": 0.37561, "time": 0.40372} -{"mode": "train", "epoch": 172, "iter": 108250, "lr": 2e-05, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.20373, "decode.acc_seg": 74.90163, "aux.loss_seg": 0.16545, "aux.acc_seg": 69.15932, "loss": 0.36919, "time": 0.40219} -{"mode": "train", "epoch": 172, "iter": 108300, "lr": 2e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.20045, "decode.acc_seg": 73.79022, "aux.loss_seg": 0.1645, "aux.acc_seg": 67.9112, "loss": 0.36495, "time": 0.4032} -{"mode": "train", "epoch": 172, "iter": 108350, "lr": 2e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.19711, "decode.acc_seg": 73.80951, "aux.loss_seg": 0.1591, "aux.acc_seg": 68.34965, "loss": 0.35621, "time": 0.40353} -{"mode": "train", "epoch": 172, "iter": 108400, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.20421, "decode.acc_seg": 74.71452, "aux.loss_seg": 0.16902, "aux.acc_seg": 68.54951, "loss": 0.37323, "time": 0.40208} -{"mode": "train", "epoch": 172, "iter": 108450, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.20202, "decode.acc_seg": 74.67505, "aux.loss_seg": 0.16547, "aux.acc_seg": 68.9072, "loss": 0.36749, "time": 0.40226} -{"mode": "train", "epoch": 172, "iter": 108500, "lr": 2e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.2022, "decode.acc_seg": 73.63449, "aux.loss_seg": 0.1662, "aux.acc_seg": 67.93424, "loss": 0.36841, "time": 0.40223} -{"mode": "train", "epoch": 173, "iter": 108550, "lr": 2e-05, "memory": 22018, "data_time": 0.17533, "decode.loss_seg": 0.20181, "decode.acc_seg": 74.00152, "aux.loss_seg": 0.16066, "aux.acc_seg": 68.58506, "loss": 0.36248, "time": 0.56941} -{"mode": "train", "epoch": 173, "iter": 108600, "lr": 2e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.19962, "decode.acc_seg": 74.61156, "aux.loss_seg": 0.16231, "aux.acc_seg": 69.03052, "loss": 0.36193, "time": 0.40089} -{"mode": "train", "epoch": 173, "iter": 108650, "lr": 2e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.20045, "decode.acc_seg": 75.15123, "aux.loss_seg": 0.16481, "aux.acc_seg": 69.16967, "loss": 0.36526, "time": 0.40087} -{"mode": "train", "epoch": 173, "iter": 108700, "lr": 2e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.2117, "decode.acc_seg": 74.38967, "aux.loss_seg": 0.17049, "aux.acc_seg": 68.43325, "loss": 0.38219, "time": 0.40227} -{"mode": "train", "epoch": 173, "iter": 108750, "lr": 2e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.20492, "decode.acc_seg": 75.02498, "aux.loss_seg": 0.16301, "aux.acc_seg": 69.6025, "loss": 0.36793, "time": 0.40189} -{"mode": "train", "epoch": 173, "iter": 108800, "lr": 2e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.19451, "decode.acc_seg": 74.02616, "aux.loss_seg": 0.15717, "aux.acc_seg": 68.56518, "loss": 0.35168, "time": 0.40253} -{"mode": "train", "epoch": 173, "iter": 108850, "lr": 2e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.20621, "decode.acc_seg": 73.40293, "aux.loss_seg": 0.16697, "aux.acc_seg": 67.73027, "loss": 0.37319, "time": 0.40163} -{"mode": "train", "epoch": 173, "iter": 108900, "lr": 2e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.20419, "decode.acc_seg": 73.65861, "aux.loss_seg": 0.16211, "aux.acc_seg": 68.21764, "loss": 0.3663, "time": 0.40149} -{"mode": "train", "epoch": 173, "iter": 108950, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.20067, "decode.acc_seg": 73.50092, "aux.loss_seg": 0.15931, "aux.acc_seg": 67.98202, "loss": 0.35998, "time": 0.40228} -{"mode": "train", "epoch": 173, "iter": 109000, "lr": 2e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.19894, "decode.acc_seg": 74.59051, "aux.loss_seg": 0.16359, "aux.acc_seg": 68.86778, "loss": 0.36254, "time": 0.40076} -{"mode": "train", "epoch": 173, "iter": 109050, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.20213, "decode.acc_seg": 74.47479, "aux.loss_seg": 0.16322, "aux.acc_seg": 68.83033, "loss": 0.36535, "time": 0.40107} -{"mode": "train", "epoch": 173, "iter": 109100, "lr": 2e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.19532, "decode.acc_seg": 74.41986, "aux.loss_seg": 0.16295, "aux.acc_seg": 68.65692, "loss": 0.35826, "time": 0.40161} -{"mode": "train", "epoch": 173, "iter": 109150, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.19689, "decode.acc_seg": 74.01658, "aux.loss_seg": 0.15994, "aux.acc_seg": 68.59321, "loss": 0.35682, "time": 0.40145} -{"mode": "train", "epoch": 174, "iter": 109200, "lr": 2e-05, "memory": 22018, "data_time": 0.17514, "decode.loss_seg": 0.19927, "decode.acc_seg": 73.47255, "aux.loss_seg": 0.16439, "aux.acc_seg": 67.62051, "loss": 0.36366, "time": 0.56818} -{"mode": "train", "epoch": 174, "iter": 109250, "lr": 2e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.19948, "decode.acc_seg": 74.95609, "aux.loss_seg": 0.16301, "aux.acc_seg": 69.37272, "loss": 0.36249, "time": 0.39974} -{"mode": "train", "epoch": 174, "iter": 109300, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.1996, "decode.acc_seg": 74.40348, "aux.loss_seg": 0.16088, "aux.acc_seg": 68.85896, "loss": 0.36047, "time": 0.40014} -{"mode": "train", "epoch": 174, "iter": 109350, "lr": 2e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.20361, "decode.acc_seg": 74.15144, "aux.loss_seg": 0.16356, "aux.acc_seg": 68.55768, "loss": 0.36717, "time": 0.40165} -{"mode": "train", "epoch": 174, "iter": 109400, "lr": 2e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.19935, "decode.acc_seg": 73.89244, "aux.loss_seg": 0.15981, "aux.acc_seg": 68.43476, "loss": 0.35916, "time": 0.40186} -{"mode": "train", "epoch": 174, "iter": 109450, "lr": 2e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.19906, "decode.acc_seg": 74.28425, "aux.loss_seg": 0.16435, "aux.acc_seg": 68.46765, "loss": 0.36341, "time": 0.40081} -{"mode": "train", "epoch": 174, "iter": 109500, "lr": 2e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.19519, "decode.acc_seg": 74.97386, "aux.loss_seg": 0.15933, "aux.acc_seg": 69.36476, "loss": 0.35452, "time": 0.40104} -{"mode": "train", "epoch": 174, "iter": 109550, "lr": 2e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.20248, "decode.acc_seg": 74.48434, "aux.loss_seg": 0.16293, "aux.acc_seg": 68.92614, "loss": 0.36541, "time": 0.40142} -{"mode": "train", "epoch": 174, "iter": 109600, "lr": 2e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.20345, "decode.acc_seg": 73.18739, "aux.loss_seg": 0.16502, "aux.acc_seg": 67.42988, "loss": 0.36847, "time": 0.40148} -{"mode": "train", "epoch": 174, "iter": 109650, "lr": 2e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.20603, "decode.acc_seg": 73.88654, "aux.loss_seg": 0.16779, "aux.acc_seg": 68.02198, "loss": 0.37382, "time": 0.40261} -{"mode": "train", "epoch": 174, "iter": 109700, "lr": 2e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.20178, "decode.acc_seg": 74.15487, "aux.loss_seg": 0.16503, "aux.acc_seg": 68.46465, "loss": 0.36681, "time": 0.40217} -{"mode": "train", "epoch": 174, "iter": 109750, "lr": 2e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.20283, "decode.acc_seg": 73.59423, "aux.loss_seg": 0.16178, "aux.acc_seg": 68.15099, "loss": 0.36461, "time": 0.4025} -{"mode": "train", "epoch": 175, "iter": 109800, "lr": 2e-05, "memory": 22018, "data_time": 0.17943, "decode.loss_seg": 0.20559, "decode.acc_seg": 73.26351, "aux.loss_seg": 0.1645, "aux.acc_seg": 67.59586, "loss": 0.3701, "time": 0.57381} -{"mode": "train", "epoch": 175, "iter": 109850, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.203, "decode.acc_seg": 74.54224, "aux.loss_seg": 0.16447, "aux.acc_seg": 68.9275, "loss": 0.36747, "time": 0.40228} -{"mode": "train", "epoch": 175, "iter": 109900, "lr": 2e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.20387, "decode.acc_seg": 73.67586, "aux.loss_seg": 0.16766, "aux.acc_seg": 67.80344, "loss": 0.37154, "time": 0.40097} -{"mode": "train", "epoch": 175, "iter": 109950, "lr": 2e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.20238, "decode.acc_seg": 73.92032, "aux.loss_seg": 0.16447, "aux.acc_seg": 68.29499, "loss": 0.36685, "time": 0.40163} -{"mode": "train", "epoch": 175, "iter": 110000, "lr": 2e-05, "memory": 22018, "data_time": 0.00928, "decode.loss_seg": 0.2094, "decode.acc_seg": 73.93736, "aux.loss_seg": 0.16589, "aux.acc_seg": 68.51529, "loss": 0.37529, "time": 0.40278} -{"mode": "train", "epoch": 175, "iter": 110050, "lr": 2e-05, "memory": 22018, "data_time": 0.00885, "decode.loss_seg": 0.19898, "decode.acc_seg": 73.46593, "aux.loss_seg": 0.1637, "aux.acc_seg": 67.90587, "loss": 0.36268, "time": 0.40211} -{"mode": "train", "epoch": 175, "iter": 110100, "lr": 2e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.19915, "decode.acc_seg": 73.90584, "aux.loss_seg": 0.15653, "aux.acc_seg": 68.64263, "loss": 0.35568, "time": 0.4031} -{"mode": "train", "epoch": 175, "iter": 110150, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.19657, "decode.acc_seg": 73.62855, "aux.loss_seg": 0.15816, "aux.acc_seg": 68.23651, "loss": 0.35474, "time": 0.40457} -{"mode": "train", "epoch": 175, "iter": 110200, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.19612, "decode.acc_seg": 73.96141, "aux.loss_seg": 0.16217, "aux.acc_seg": 68.31919, "loss": 0.35829, "time": 0.40335} -{"mode": "train", "epoch": 175, "iter": 110250, "lr": 2e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.20272, "decode.acc_seg": 74.38272, "aux.loss_seg": 0.16468, "aux.acc_seg": 68.58295, "loss": 0.3674, "time": 0.40146} -{"mode": "train", "epoch": 175, "iter": 110300, "lr": 2e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.19744, "decode.acc_seg": 74.47985, "aux.loss_seg": 0.15957, "aux.acc_seg": 69.05198, "loss": 0.35701, "time": 0.40173} -{"mode": "train", "epoch": 175, "iter": 110350, "lr": 2e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.20723, "decode.acc_seg": 74.54867, "aux.loss_seg": 0.16691, "aux.acc_seg": 68.8345, "loss": 0.37414, "time": 0.40387} -{"mode": "train", "epoch": 175, "iter": 110400, "lr": 2e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.19638, "decode.acc_seg": 73.96378, "aux.loss_seg": 0.161, "aux.acc_seg": 68.36652, "loss": 0.35739, "time": 0.40472} -{"mode": "train", "epoch": 176, "iter": 110450, "lr": 2e-05, "memory": 22018, "data_time": 0.16759, "decode.loss_seg": 0.19802, "decode.acc_seg": 73.5563, "aux.loss_seg": 0.15969, "aux.acc_seg": 67.98664, "loss": 0.35771, "time": 0.56134} -{"mode": "train", "epoch": 176, "iter": 110500, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.20232, "decode.acc_seg": 74.47975, "aux.loss_seg": 0.16283, "aux.acc_seg": 68.80762, "loss": 0.36514, "time": 0.40155} -{"mode": "train", "epoch": 176, "iter": 110550, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.20304, "decode.acc_seg": 73.48952, "aux.loss_seg": 0.16151, "aux.acc_seg": 67.99363, "loss": 0.36455, "time": 0.40246} -{"mode": "train", "epoch": 176, "iter": 110600, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.19652, "decode.acc_seg": 75.15822, "aux.loss_seg": 0.15733, "aux.acc_seg": 69.76693, "loss": 0.35385, "time": 0.4032} -{"mode": "train", "epoch": 176, "iter": 110650, "lr": 2e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.19913, "decode.acc_seg": 73.53325, "aux.loss_seg": 0.1627, "aux.acc_seg": 67.87141, "loss": 0.36183, "time": 0.40264} -{"mode": "train", "epoch": 176, "iter": 110700, "lr": 2e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.19703, "decode.acc_seg": 73.79661, "aux.loss_seg": 0.16707, "aux.acc_seg": 67.80541, "loss": 0.36409, "time": 0.40166} -{"mode": "train", "epoch": 176, "iter": 110750, "lr": 2e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.1998, "decode.acc_seg": 73.66878, "aux.loss_seg": 0.16206, "aux.acc_seg": 68.03107, "loss": 0.36186, "time": 0.40062} -{"mode": "train", "epoch": 176, "iter": 110800, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.20234, "decode.acc_seg": 74.21214, "aux.loss_seg": 0.16439, "aux.acc_seg": 68.74741, "loss": 0.36673, "time": 0.40279} -{"mode": "train", "epoch": 176, "iter": 110850, "lr": 2e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.20248, "decode.acc_seg": 74.39589, "aux.loss_seg": 0.16345, "aux.acc_seg": 68.74896, "loss": 0.36593, "time": 0.40126} -{"mode": "train", "epoch": 176, "iter": 110900, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.19336, "decode.acc_seg": 73.73126, "aux.loss_seg": 0.15761, "aux.acc_seg": 68.21234, "loss": 0.35097, "time": 0.40153} -{"mode": "train", "epoch": 176, "iter": 110950, "lr": 2e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.1981, "decode.acc_seg": 74.47467, "aux.loss_seg": 0.16205, "aux.acc_seg": 68.76561, "loss": 0.36016, "time": 0.40195} -{"mode": "train", "epoch": 176, "iter": 111000, "lr": 2e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.20133, "decode.acc_seg": 74.28895, "aux.loss_seg": 0.16163, "aux.acc_seg": 68.63458, "loss": 0.36296, "time": 0.40195} -{"mode": "train", "epoch": 176, "iter": 111050, "lr": 2e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.20786, "decode.acc_seg": 74.86636, "aux.loss_seg": 0.16859, "aux.acc_seg": 69.15961, "loss": 0.37645, "time": 0.40183} -{"mode": "train", "epoch": 177, "iter": 111100, "lr": 2e-05, "memory": 22018, "data_time": 0.18604, "decode.loss_seg": 0.20066, "decode.acc_seg": 74.20504, "aux.loss_seg": 0.16724, "aux.acc_seg": 68.20668, "loss": 0.3679, "time": 0.57982} -{"mode": "train", "epoch": 177, "iter": 111150, "lr": 2e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.18982, "decode.acc_seg": 74.82706, "aux.loss_seg": 0.15645, "aux.acc_seg": 69.4022, "loss": 0.34628, "time": 0.4024} -{"mode": "train", "epoch": 177, "iter": 111200, "lr": 2e-05, "memory": 22018, "data_time": 0.00964, "decode.loss_seg": 0.19334, "decode.acc_seg": 74.31871, "aux.loss_seg": 0.15814, "aux.acc_seg": 68.86024, "loss": 0.35149, "time": 0.40231} -{"mode": "train", "epoch": 177, "iter": 111250, "lr": 2e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.19199, "decode.acc_seg": 74.06759, "aux.loss_seg": 0.15909, "aux.acc_seg": 68.52847, "loss": 0.35108, "time": 0.40346} -{"mode": "train", "epoch": 177, "iter": 111300, "lr": 2e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.19143, "decode.acc_seg": 73.83545, "aux.loss_seg": 0.15942, "aux.acc_seg": 68.20037, "loss": 0.35085, "time": 0.40328} -{"mode": "train", "epoch": 177, "iter": 111350, "lr": 2e-05, "memory": 22018, "data_time": 0.01038, "decode.loss_seg": 0.19334, "decode.acc_seg": 72.7277, "aux.loss_seg": 0.1555, "aux.acc_seg": 67.44382, "loss": 0.34884, "time": 0.40423} -{"mode": "train", "epoch": 177, "iter": 111400, "lr": 2e-05, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.19477, "decode.acc_seg": 74.13434, "aux.loss_seg": 0.16241, "aux.acc_seg": 68.3577, "loss": 0.35718, "time": 0.40264} -{"mode": "train", "epoch": 177, "iter": 111450, "lr": 2e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.19706, "decode.acc_seg": 73.97275, "aux.loss_seg": 0.16016, "aux.acc_seg": 68.55474, "loss": 0.35722, "time": 0.4045} -{"mode": "train", "epoch": 177, "iter": 111500, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.2061, "decode.acc_seg": 74.8798, "aux.loss_seg": 0.16971, "aux.acc_seg": 68.80022, "loss": 0.37581, "time": 0.40401} -{"mode": "train", "epoch": 177, "iter": 111550, "lr": 2e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.19913, "decode.acc_seg": 74.80049, "aux.loss_seg": 0.16073, "aux.acc_seg": 69.41101, "loss": 0.35986, "time": 0.40373} -{"mode": "train", "epoch": 177, "iter": 111600, "lr": 2e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.20091, "decode.acc_seg": 73.57351, "aux.loss_seg": 0.16178, "aux.acc_seg": 68.07318, "loss": 0.36269, "time": 0.40388} -{"mode": "train", "epoch": 177, "iter": 111650, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.20177, "decode.acc_seg": 75.09996, "aux.loss_seg": 0.16216, "aux.acc_seg": 69.59787, "loss": 0.36394, "time": 0.40397} -{"mode": "train", "epoch": 178, "iter": 111700, "lr": 2e-05, "memory": 22018, "data_time": 0.17681, "decode.loss_seg": 0.20074, "decode.acc_seg": 73.51637, "aux.loss_seg": 0.16298, "aux.acc_seg": 67.85861, "loss": 0.36372, "time": 0.57212} -{"mode": "train", "epoch": 178, "iter": 111750, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.19691, "decode.acc_seg": 74.4454, "aux.loss_seg": 0.15953, "aux.acc_seg": 68.84434, "loss": 0.35644, "time": 0.3994} -{"mode": "train", "epoch": 178, "iter": 111800, "lr": 2e-05, "memory": 22018, "data_time": 0.00728, "decode.loss_seg": 0.20425, "decode.acc_seg": 73.85305, "aux.loss_seg": 0.16581, "aux.acc_seg": 68.2011, "loss": 0.37006, "time": 0.39952} -{"mode": "train", "epoch": 178, "iter": 111850, "lr": 2e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.1974, "decode.acc_seg": 74.45023, "aux.loss_seg": 0.16419, "aux.acc_seg": 68.73728, "loss": 0.36159, "time": 0.40002} -{"mode": "train", "epoch": 178, "iter": 111900, "lr": 2e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.19658, "decode.acc_seg": 73.67995, "aux.loss_seg": 0.16103, "aux.acc_seg": 68.21057, "loss": 0.35761, "time": 0.40298} -{"mode": "train", "epoch": 178, "iter": 111950, "lr": 2e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.19537, "decode.acc_seg": 73.83795, "aux.loss_seg": 0.16299, "aux.acc_seg": 68.11161, "loss": 0.35836, "time": 0.40075} -{"mode": "val", "epoch": 178, "iter": 112000, "lr": 2e-05, "mIoU": 0.4624, "mAcc": 0.5825, "aAcc": 0.8161, "IoU.wall": 0.7559, "IoU.building": 0.8176, "IoU.sky": 0.9365, "IoU.floor": 0.8015, "IoU.tree": 0.7234, "IoU.ceiling": 0.8329, "IoU.road": 0.8185, "IoU.bed ": 0.8686, "IoU.windowpane": 0.5972, "IoU.grass": 0.6921, "IoU.cabinet": 0.5834, "IoU.sidewalk": 0.6259, "IoU.person": 0.7573, "IoU.earth": 0.3281, "IoU.door": 0.4365, "IoU.table": 0.5659, "IoU.mountain": 0.5793, "IoU.plant": 0.4913, "IoU.curtain": 0.7158, "IoU.chair": 0.5225, "IoU.car": 0.8087, "IoU.water": 0.5187, "IoU.painting": 0.6887, "IoU.sofa": 0.5895, "IoU.shelf": 0.393, "IoU.house": 0.4486, "IoU.sea": 0.5039, "IoU.mirror": 0.591, "IoU.rug": 0.6293, "IoU.field": 0.3063, "IoU.armchair": 0.3331, "IoU.seat": 0.5573, "IoU.fence": 0.3704, "IoU.desk": 0.4658, "IoU.rock": 0.415, "IoU.wardrobe": 0.4995, "IoU.lamp": 0.5723, "IoU.bathtub": 0.7751, "IoU.railing": 0.3316, "IoU.cushion": 0.5203, "IoU.base": 0.2698, "IoU.box": 0.2317, "IoU.column": 0.4091, "IoU.signboard": 0.3315, "IoU.chest of drawers": 0.3858, "IoU.counter": 0.2708, "IoU.sand": 0.3437, "IoU.sink": 0.6728, "IoU.skyscraper": 0.6952, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6313, "IoU.grandstand": 0.3794, "IoU.path": 0.1717, "IoU.stairs": 0.2834, "IoU.runway": 0.6454, "IoU.case": 0.3799, "IoU.pool table": 0.9081, "IoU.pillow": 0.5481, "IoU.screen door": 0.6366, "IoU.stairway": 0.3414, "IoU.river": 0.0834, "IoU.bridge": 0.6168, "IoU.bookcase": 0.3898, "IoU.blind": NaN, "IoU.coffee table": 0.5093, "IoU.toilet": 0.8156, "IoU.flower": 0.3967, "IoU.book": 0.4531, "IoU.hill": 0.1091, "IoU.bench": 0.3984, "IoU.countertop": 0.5515, "IoU.stove": 0.7007, "IoU.palm": 0.4505, "IoU.kitchen island": 0.2924, "IoU.computer": 0.5968, "IoU.swivel chair": 0.3943, "IoU.boat": 0.5553, "IoU.bar": 0.3507, "IoU.arcade machine": 0.2761, "IoU.hovel": 0.2534, "IoU.bus": 0.8162, "IoU.towel": 0.5952, "IoU.light": 0.5304, "IoU.truck": 0.3614, "IoU.tower": 0.2657, "IoU.chandelier": 0.6282, "IoU.awning": 0.3017, "IoU.streetlight": 0.202, "IoU.booth": 0.5318, "IoU.television receiver": NaN, "IoU.airplane": 0.5688, "IoU.dirt track": 0.1873, "IoU.apparel": 0.3499, "IoU.pole": 0.1548, "IoU.land": 0.0009, "IoU.bannister": 0.0973, "IoU.escalator": 0.2408, "IoU.ottoman": 0.352, "IoU.bottle": NaN, "IoU.buffet": 0.3862, "IoU.poster": 0.3172, "IoU.stage": 0.1623, "IoU.van": 0.3916, "IoU.ship": 0.6281, "IoU.fountain": 0.2492, "IoU.conveyer belt": 0.7045, "IoU.canopy": 0.2452, "IoU.washer": 0.72, "IoU.plaything": 0.1741, "IoU.swimming pool": 0.7, "IoU.stool": 0.3928, "IoU.barrel": 0.45, "IoU.basket": 0.251, "IoU.waterfall": 0.7071, "IoU.tent": 0.9334, "IoU.bag": 0.0935, "IoU.minibike": 0.659, "IoU.cradle": NaN, "IoU.oven": 0.4241, "IoU.ball": 0.3842, "IoU.food": 0.5139, "IoU.step": 0.1424, "IoU.tank": 0.4784, "IoU.trade name": 0.2162, "IoU.microwave": 0.6555, "IoU.pot": 0.4721, "IoU.animal": NaN, "IoU.bicycle": 0.5147, "IoU.lake": 0.464, "IoU.dishwasher": 0.474, "IoU.screen": 0.5855, "IoU.blanket": 0.1086, "IoU.sculpture": 0.5314, "IoU.hood": 0.5241, "IoU.sconce": 0.418, "IoU.vase": 0.3083, "IoU.traffic light": 0.2429, "IoU.tray": 0.0858, "IoU.ashcan": 0.3303, "IoU.fan": 0.5402, "IoU.pier": 0.6089, "IoU.crt screen": 0.108, "IoU.plate": 0.5456, "IoU.monitor": 0.5214, "IoU.bulletin board": 0.2859, "IoU.shower": 0.0291, "IoU.radiator": 0.4366, "IoU.glass": 0.1152, "IoU.clock": 0.3667, "IoU.flag": 0.3071, "Acc.wall": 0.865, "Acc.building": 0.9083, "Acc.sky": 0.9703, "Acc.floor": 0.8944, "Acc.tree": 0.8755, "Acc.ceiling": 0.9118, "Acc.road": 0.8894, "Acc.bed ": 0.9484, "Acc.windowpane": 0.7722, "Acc.grass": 0.8475, "Acc.cabinet": 0.7382, "Acc.sidewalk": 0.8127, "Acc.person": 0.9182, "Acc.earth": 0.4476, "Acc.door": 0.6133, "Acc.table": 0.7415, "Acc.mountain": 0.7722, "Acc.plant": 0.6184, "Acc.curtain": 0.8325, "Acc.chair": 0.6762, "Acc.car": 0.9175, "Acc.water": 0.6766, "Acc.painting": 0.8706, "Acc.sofa": 0.8118, "Acc.shelf": 0.5853, "Acc.house": 0.6619, "Acc.sea": 0.6985, "Acc.mirror": 0.6884, "Acc.rug": 0.7387, "Acc.field": 0.4656, "Acc.armchair": 0.4768, "Acc.seat": 0.7482, "Acc.fence": 0.5071, "Acc.desk": 0.6917, "Acc.rock": 0.6269, "Acc.wardrobe": 0.6455, "Acc.lamp": 0.6981, "Acc.bathtub": 0.8323, "Acc.railing": 0.4526, "Acc.cushion": 0.654, "Acc.base": 0.3907, "Acc.box": 0.3017, "Acc.column": 0.5272, "Acc.signboard": 0.4823, "Acc.chest of drawers": 0.5783, "Acc.counter": 0.3162, "Acc.sand": 0.524, "Acc.sink": 0.7823, "Acc.skyscraper": 0.8701, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7671, "Acc.grandstand": 0.6363, "Acc.path": 0.2322, "Acc.stairs": 0.343, "Acc.runway": 0.8577, "Acc.case": 0.5024, "Acc.pool table": 0.9577, "Acc.pillow": 0.6572, "Acc.screen door": 0.758, "Acc.stairway": 0.4293, "Acc.river": 0.1713, "Acc.bridge": 0.7994, "Acc.bookcase": 0.4711, "Acc.blind": NaN, "Acc.coffee table": 0.7928, "Acc.toilet": 0.901, "Acc.flower": 0.5451, "Acc.book": 0.6689, "Acc.hill": 0.1407, "Acc.bench": 0.4836, "Acc.countertop": 0.7199, "Acc.stove": 0.7832, "Acc.palm": 0.6339, "Acc.kitchen island": 0.5269, "Acc.computer": 0.7106, "Acc.swivel chair": 0.5578, "Acc.boat": 0.6441, "Acc.bar": 0.4338, "Acc.arcade machine": 0.2842, "Acc.hovel": 0.2753, "Acc.bus": 0.8858, "Acc.towel": 0.7456, "Acc.light": 0.6017, "Acc.truck": 0.4443, "Acc.tower": 0.4429, "Acc.chandelier": 0.797, "Acc.awning": 0.3724, "Acc.streetlight": 0.2788, "Acc.booth": 0.6636, "Acc.television receiver": NaN, "Acc.airplane": 0.6214, "Acc.dirt track": 0.4075, "Acc.apparel": 0.4549, "Acc.pole": 0.236, "Acc.land": 0.0011, "Acc.bannister": 0.1307, "Acc.escalator": 0.3225, "Acc.ottoman": 0.5545, "Acc.bottle": NaN, "Acc.buffet": 0.4387, "Acc.poster": 0.4105, "Acc.stage": 0.2289, "Acc.van": 0.4904, "Acc.ship": 0.9165, "Acc.fountain": 0.2729, "Acc.conveyer belt": 0.8583, "Acc.canopy": 0.3162, "Acc.washer": 0.7701, "Acc.plaything": 0.2821, "Acc.swimming pool": 0.8154, "Acc.stool": 0.5202, "Acc.barrel": 0.6435, "Acc.basket": 0.3912, "Acc.waterfall": 0.8235, "Acc.tent": 0.9841, "Acc.bag": 0.1222, "Acc.minibike": 0.8381, "Acc.cradle": NaN, "Acc.oven": 0.5972, "Acc.ball": 0.4614, "Acc.food": 0.6011, "Acc.step": 0.1684, "Acc.tank": 0.5104, "Acc.trade name": 0.2466, "Acc.microwave": 0.7348, "Acc.pot": 0.5543, "Acc.animal": NaN, "Acc.bicycle": 0.7147, "Acc.lake": 0.5464, "Acc.dishwasher": 0.6251, "Acc.screen": 0.8071, "Acc.blanket": 0.1193, "Acc.sculpture": 0.6719, "Acc.hood": 0.5947, "Acc.sconce": 0.5233, "Acc.vase": 0.4562, "Acc.traffic light": 0.393, "Acc.tray": 0.1591, "Acc.ashcan": 0.4349, "Acc.fan": 0.7193, "Acc.pier": 0.8366, "Acc.crt screen": 0.1515, "Acc.plate": 0.7109, "Acc.monitor": 0.6078, "Acc.bulletin board": 0.3894, "Acc.shower": 0.0691, "Acc.radiator": 0.5031, "Acc.glass": 0.1234, "Acc.clock": 0.4424, "Acc.flag": 0.3649} -{"mode": "train", "epoch": 178, "iter": 112050, "lr": 2e-05, "memory": 22018, "data_time": 1.42729, "decode.loss_seg": 0.19791, "decode.acc_seg": 74.30247, "aux.loss_seg": 0.15728, "aux.acc_seg": 69.06251, "loss": 0.3552, "time": 1.82124} -{"mode": "train", "epoch": 178, "iter": 112100, "lr": 2e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.21153, "decode.acc_seg": 73.97925, "aux.loss_seg": 0.16967, "aux.acc_seg": 68.06749, "loss": 0.3812, "time": 0.40067} -{"mode": "train", "epoch": 178, "iter": 112150, "lr": 2e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.20264, "decode.acc_seg": 74.19996, "aux.loss_seg": 0.16599, "aux.acc_seg": 68.41956, "loss": 0.36863, "time": 0.40053} -{"mode": "train", "epoch": 178, "iter": 112200, "lr": 2e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.20214, "decode.acc_seg": 73.28901, "aux.loss_seg": 0.16225, "aux.acc_seg": 67.5959, "loss": 0.36438, "time": 0.39944} -{"mode": "train", "epoch": 178, "iter": 112250, "lr": 2e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.20735, "decode.acc_seg": 73.87762, "aux.loss_seg": 0.16461, "aux.acc_seg": 68.22658, "loss": 0.37196, "time": 0.39915} -{"mode": "train", "epoch": 178, "iter": 112300, "lr": 2e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.19649, "decode.acc_seg": 73.90302, "aux.loss_seg": 0.16209, "aux.acc_seg": 68.22698, "loss": 0.35858, "time": 0.39929} -{"mode": "train", "epoch": 179, "iter": 112350, "lr": 2e-05, "memory": 22018, "data_time": 0.18159, "decode.loss_seg": 0.20161, "decode.acc_seg": 73.52135, "aux.loss_seg": 0.16372, "aux.acc_seg": 67.90936, "loss": 0.36532, "time": 0.57555} -{"mode": "train", "epoch": 179, "iter": 112400, "lr": 2e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.2018, "decode.acc_seg": 73.15918, "aux.loss_seg": 0.1664, "aux.acc_seg": 67.40549, "loss": 0.3682, "time": 0.40262} -{"mode": "train", "epoch": 179, "iter": 112450, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.19897, "decode.acc_seg": 74.92077, "aux.loss_seg": 0.16443, "aux.acc_seg": 69.25821, "loss": 0.3634, "time": 0.40009} -{"mode": "train", "epoch": 179, "iter": 112500, "lr": 2e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.19911, "decode.acc_seg": 75.19941, "aux.loss_seg": 0.16374, "aux.acc_seg": 69.41981, "loss": 0.36284, "time": 0.40202} -{"mode": "train", "epoch": 179, "iter": 112550, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19905, "decode.acc_seg": 74.20925, "aux.loss_seg": 0.16024, "aux.acc_seg": 68.8448, "loss": 0.35929, "time": 0.40202} -{"mode": "train", "epoch": 179, "iter": 112600, "lr": 2e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.19904, "decode.acc_seg": 74.13038, "aux.loss_seg": 0.16508, "aux.acc_seg": 68.38397, "loss": 0.36412, "time": 0.40133} -{"mode": "train", "epoch": 179, "iter": 112650, "lr": 2e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.19493, "decode.acc_seg": 74.2167, "aux.loss_seg": 0.15467, "aux.acc_seg": 68.91359, "loss": 0.3496, "time": 0.40215} -{"mode": "train", "epoch": 179, "iter": 112700, "lr": 2e-05, "memory": 22018, "data_time": 0.0099, "decode.loss_seg": 0.19228, "decode.acc_seg": 74.14123, "aux.loss_seg": 0.15384, "aux.acc_seg": 68.98125, "loss": 0.34612, "time": 0.40237} -{"mode": "train", "epoch": 179, "iter": 112750, "lr": 2e-05, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.19509, "decode.acc_seg": 74.10308, "aux.loss_seg": 0.15999, "aux.acc_seg": 68.39263, "loss": 0.35508, "time": 0.40012} -{"mode": "train", "epoch": 179, "iter": 112800, "lr": 2e-05, "memory": 22018, "data_time": 0.00935, "decode.loss_seg": 0.19877, "decode.acc_seg": 74.54291, "aux.loss_seg": 0.15964, "aux.acc_seg": 68.98845, "loss": 0.35841, "time": 0.40189} -{"mode": "train", "epoch": 179, "iter": 112850, "lr": 2e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.19755, "decode.acc_seg": 74.09407, "aux.loss_seg": 0.16161, "aux.acc_seg": 68.57317, "loss": 0.35916, "time": 0.40193} -{"mode": "train", "epoch": 179, "iter": 112900, "lr": 2e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.20657, "decode.acc_seg": 74.53607, "aux.loss_seg": 0.1666, "aux.acc_seg": 68.80986, "loss": 0.37316, "time": 0.40259} -{"mode": "train", "epoch": 179, "iter": 112950, "lr": 2e-05, "memory": 22018, "data_time": 0.16757, "decode.loss_seg": 0.20466, "decode.acc_seg": 74.42452, "aux.loss_seg": 0.16474, "aux.acc_seg": 68.79112, "loss": 0.3694, "time": 0.5614} -{"mode": "train", "epoch": 180, "iter": 113000, "lr": 2e-05, "memory": 22018, "data_time": 0.00969, "decode.loss_seg": 0.19698, "decode.acc_seg": 75.06274, "aux.loss_seg": 0.16714, "aux.acc_seg": 68.91963, "loss": 0.36412, "time": 0.403} -{"mode": "train", "epoch": 180, "iter": 113050, "lr": 2e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.19912, "decode.acc_seg": 75.22097, "aux.loss_seg": 0.16328, "aux.acc_seg": 69.6306, "loss": 0.3624, "time": 0.40243} -{"mode": "train", "epoch": 180, "iter": 113100, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.19734, "decode.acc_seg": 74.72579, "aux.loss_seg": 0.16028, "aux.acc_seg": 69.35785, "loss": 0.35762, "time": 0.40252} -{"mode": "train", "epoch": 180, "iter": 113150, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.20104, "decode.acc_seg": 73.68596, "aux.loss_seg": 0.16163, "aux.acc_seg": 68.18418, "loss": 0.36267, "time": 0.40391} -{"mode": "train", "epoch": 180, "iter": 113200, "lr": 2e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.19366, "decode.acc_seg": 74.05003, "aux.loss_seg": 0.1582, "aux.acc_seg": 68.41937, "loss": 0.35186, "time": 0.40248} -{"mode": "train", "epoch": 180, "iter": 113250, "lr": 2e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.19429, "decode.acc_seg": 73.72127, "aux.loss_seg": 0.15926, "aux.acc_seg": 68.13913, "loss": 0.35355, "time": 0.4019} -{"mode": "train", "epoch": 180, "iter": 113300, "lr": 2e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.19997, "decode.acc_seg": 74.39151, "aux.loss_seg": 0.16392, "aux.acc_seg": 68.64898, "loss": 0.36389, "time": 0.40242} -{"mode": "train", "epoch": 180, "iter": 113350, "lr": 2e-05, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.19666, "decode.acc_seg": 73.73098, "aux.loss_seg": 0.16224, "aux.acc_seg": 68.13857, "loss": 0.3589, "time": 0.40219} -{"mode": "train", "epoch": 180, "iter": 113400, "lr": 2e-05, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.20023, "decode.acc_seg": 74.28981, "aux.loss_seg": 0.16278, "aux.acc_seg": 68.69272, "loss": 0.36301, "time": 0.40203} -{"mode": "train", "epoch": 180, "iter": 113450, "lr": 2e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.19835, "decode.acc_seg": 73.92857, "aux.loss_seg": 0.16616, "aux.acc_seg": 68.1682, "loss": 0.3645, "time": 0.40206} -{"mode": "train", "epoch": 180, "iter": 113500, "lr": 2e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.19364, "decode.acc_seg": 73.46958, "aux.loss_seg": 0.15946, "aux.acc_seg": 67.9368, "loss": 0.3531, "time": 0.4021} -{"mode": "train", "epoch": 180, "iter": 113550, "lr": 2e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.18463, "decode.acc_seg": 73.95161, "aux.loss_seg": 0.15289, "aux.acc_seg": 68.4922, "loss": 0.33752, "time": 0.40153} -{"mode": "train", "epoch": 181, "iter": 113600, "lr": 2e-05, "memory": 22018, "data_time": 0.16918, "decode.loss_seg": 0.20118, "decode.acc_seg": 73.3915, "aux.loss_seg": 0.16108, "aux.acc_seg": 67.90968, "loss": 0.36226, "time": 0.5618} -{"mode": "train", "epoch": 181, "iter": 113650, "lr": 2e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.19161, "decode.acc_seg": 74.94538, "aux.loss_seg": 0.15885, "aux.acc_seg": 69.34048, "loss": 0.35046, "time": 0.40221} -{"mode": "train", "epoch": 181, "iter": 113700, "lr": 2e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.1897, "decode.acc_seg": 73.28876, "aux.loss_seg": 0.15488, "aux.acc_seg": 67.84393, "loss": 0.34458, "time": 0.40167} -{"mode": "train", "epoch": 181, "iter": 113750, "lr": 2e-05, "memory": 22018, "data_time": 0.00973, "decode.loss_seg": 0.20645, "decode.acc_seg": 74.52647, "aux.loss_seg": 0.16549, "aux.acc_seg": 68.88176, "loss": 0.37194, "time": 0.4028} -{"mode": "train", "epoch": 181, "iter": 113800, "lr": 2e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.19545, "decode.acc_seg": 74.38366, "aux.loss_seg": 0.15917, "aux.acc_seg": 68.91114, "loss": 0.35462, "time": 0.40314} -{"mode": "train", "epoch": 181, "iter": 113850, "lr": 2e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.19575, "decode.acc_seg": 74.47758, "aux.loss_seg": 0.16325, "aux.acc_seg": 68.64276, "loss": 0.359, "time": 0.40356} -{"mode": "train", "epoch": 181, "iter": 113900, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19364, "decode.acc_seg": 73.92134, "aux.loss_seg": 0.15888, "aux.acc_seg": 68.41153, "loss": 0.35253, "time": 0.40242} -{"mode": "train", "epoch": 181, "iter": 113950, "lr": 2e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.20248, "decode.acc_seg": 73.96519, "aux.loss_seg": 0.16334, "aux.acc_seg": 68.45171, "loss": 0.36582, "time": 0.40209} -{"mode": "train", "epoch": 181, "iter": 114000, "lr": 2e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.19153, "decode.acc_seg": 73.68844, "aux.loss_seg": 0.15923, "aux.acc_seg": 68.09709, "loss": 0.35077, "time": 0.4017} -{"mode": "train", "epoch": 181, "iter": 114050, "lr": 2e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.19635, "decode.acc_seg": 74.82298, "aux.loss_seg": 0.15962, "aux.acc_seg": 69.1916, "loss": 0.35596, "time": 0.40308} -{"mode": "train", "epoch": 181, "iter": 114100, "lr": 2e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.18625, "decode.acc_seg": 74.27751, "aux.loss_seg": 0.15307, "aux.acc_seg": 68.79519, "loss": 0.33932, "time": 0.40189} -{"mode": "train", "epoch": 181, "iter": 114150, "lr": 2e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.19971, "decode.acc_seg": 75.08417, "aux.loss_seg": 0.16421, "aux.acc_seg": 69.45896, "loss": 0.36392, "time": 0.40031} -{"mode": "train", "epoch": 181, "iter": 114200, "lr": 2e-05, "memory": 22018, "data_time": 0.00812, "decode.loss_seg": 0.1932, "decode.acc_seg": 74.56031, "aux.loss_seg": 0.15979, "aux.acc_seg": 68.99544, "loss": 0.35299, "time": 0.40028} -{"mode": "train", "epoch": 182, "iter": 114250, "lr": 2e-05, "memory": 22018, "data_time": 0.18072, "decode.loss_seg": 0.18953, "decode.acc_seg": 74.32012, "aux.loss_seg": 0.15449, "aux.acc_seg": 68.96756, "loss": 0.34402, "time": 0.5758} -{"mode": "train", "epoch": 182, "iter": 114300, "lr": 2e-05, "memory": 22018, "data_time": 0.00713, "decode.loss_seg": 0.1871, "decode.acc_seg": 74.64766, "aux.loss_seg": 0.15668, "aux.acc_seg": 69.11897, "loss": 0.34378, "time": 0.40193} -{"mode": "train", "epoch": 182, "iter": 114350, "lr": 2e-05, "memory": 22018, "data_time": 0.00693, "decode.loss_seg": 0.19583, "decode.acc_seg": 73.5939, "aux.loss_seg": 0.15646, "aux.acc_seg": 68.14589, "loss": 0.35229, "time": 0.4012} -{"mode": "train", "epoch": 182, "iter": 114400, "lr": 2e-05, "memory": 22018, "data_time": 0.00707, "decode.loss_seg": 0.19561, "decode.acc_seg": 74.71005, "aux.loss_seg": 0.15917, "aux.acc_seg": 69.09924, "loss": 0.35478, "time": 0.40104} -{"mode": "train", "epoch": 182, "iter": 114450, "lr": 2e-05, "memory": 22018, "data_time": 0.00693, "decode.loss_seg": 0.20785, "decode.acc_seg": 73.81452, "aux.loss_seg": 0.16532, "aux.acc_seg": 68.30632, "loss": 0.37317, "time": 0.40085} -{"mode": "train", "epoch": 182, "iter": 114500, "lr": 2e-05, "memory": 22018, "data_time": 0.00692, "decode.loss_seg": 0.19044, "decode.acc_seg": 73.80717, "aux.loss_seg": 0.15997, "aux.acc_seg": 68.00933, "loss": 0.35041, "time": 0.40146} -{"mode": "train", "epoch": 182, "iter": 114550, "lr": 2e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.19225, "decode.acc_seg": 74.47669, "aux.loss_seg": 0.15559, "aux.acc_seg": 69.20776, "loss": 0.34784, "time": 0.40248} -{"mode": "train", "epoch": 182, "iter": 114600, "lr": 2e-05, "memory": 22018, "data_time": 0.00676, "decode.loss_seg": 0.20294, "decode.acc_seg": 75.32491, "aux.loss_seg": 0.16604, "aux.acc_seg": 69.60499, "loss": 0.36897, "time": 0.40062} -{"mode": "train", "epoch": 182, "iter": 114650, "lr": 2e-05, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.20156, "decode.acc_seg": 74.39757, "aux.loss_seg": 0.16479, "aux.acc_seg": 68.80856, "loss": 0.36634, "time": 0.40213} -{"mode": "train", "epoch": 182, "iter": 114700, "lr": 2e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.20189, "decode.acc_seg": 74.79017, "aux.loss_seg": 0.16233, "aux.acc_seg": 69.31959, "loss": 0.36422, "time": 0.40115} -{"mode": "train", "epoch": 182, "iter": 114750, "lr": 2e-05, "memory": 22018, "data_time": 0.00718, "decode.loss_seg": 0.20256, "decode.acc_seg": 73.79492, "aux.loss_seg": 0.16704, "aux.acc_seg": 67.94575, "loss": 0.3696, "time": 0.40143} -{"mode": "train", "epoch": 182, "iter": 114800, "lr": 2e-05, "memory": 22018, "data_time": 0.00694, "decode.loss_seg": 0.20048, "decode.acc_seg": 74.73439, "aux.loss_seg": 0.16322, "aux.acc_seg": 69.11363, "loss": 0.3637, "time": 0.40136} -{"mode": "train", "epoch": 183, "iter": 114850, "lr": 2e-05, "memory": 22018, "data_time": 0.17487, "decode.loss_seg": 0.18981, "decode.acc_seg": 74.81098, "aux.loss_seg": 0.15642, "aux.acc_seg": 69.47565, "loss": 0.34623, "time": 0.56991} -{"mode": "train", "epoch": 183, "iter": 114900, "lr": 2e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.20154, "decode.acc_seg": 74.46997, "aux.loss_seg": 0.16647, "aux.acc_seg": 68.61694, "loss": 0.36801, "time": 0.40068} -{"mode": "train", "epoch": 183, "iter": 114950, "lr": 2e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.19237, "decode.acc_seg": 74.44536, "aux.loss_seg": 0.15651, "aux.acc_seg": 69.16954, "loss": 0.34888, "time": 0.40098} -{"mode": "train", "epoch": 183, "iter": 115000, "lr": 2e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.19285, "decode.acc_seg": 74.76329, "aux.loss_seg": 0.15991, "aux.acc_seg": 69.10242, "loss": 0.35276, "time": 0.40194} -{"mode": "train", "epoch": 183, "iter": 115050, "lr": 2e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.19489, "decode.acc_seg": 74.16064, "aux.loss_seg": 0.15984, "aux.acc_seg": 68.7149, "loss": 0.35473, "time": 0.40165} -{"mode": "train", "epoch": 183, "iter": 115100, "lr": 2e-05, "memory": 22018, "data_time": 0.00838, "decode.loss_seg": 0.19585, "decode.acc_seg": 73.42107, "aux.loss_seg": 0.16019, "aux.acc_seg": 67.937, "loss": 0.35604, "time": 0.40249} -{"mode": "train", "epoch": 183, "iter": 115150, "lr": 2e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.19753, "decode.acc_seg": 73.52797, "aux.loss_seg": 0.157, "aux.acc_seg": 68.27728, "loss": 0.35453, "time": 0.40345} -{"mode": "train", "epoch": 183, "iter": 115200, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.20017, "decode.acc_seg": 74.07391, "aux.loss_seg": 0.16438, "aux.acc_seg": 68.24977, "loss": 0.36456, "time": 0.40293} -{"mode": "train", "epoch": 183, "iter": 115250, "lr": 2e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.19133, "decode.acc_seg": 73.97366, "aux.loss_seg": 0.15669, "aux.acc_seg": 68.47591, "loss": 0.34803, "time": 0.40289} -{"mode": "train", "epoch": 183, "iter": 115300, "lr": 2e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.20152, "decode.acc_seg": 73.91271, "aux.loss_seg": 0.16109, "aux.acc_seg": 68.4942, "loss": 0.36261, "time": 0.40264} -{"mode": "train", "epoch": 183, "iter": 115350, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.18928, "decode.acc_seg": 73.51871, "aux.loss_seg": 0.15271, "aux.acc_seg": 68.30576, "loss": 0.34199, "time": 0.40234} -{"mode": "train", "epoch": 183, "iter": 115400, "lr": 2e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.20799, "decode.acc_seg": 75.22685, "aux.loss_seg": 0.17088, "aux.acc_seg": 69.22378, "loss": 0.37887, "time": 0.40225} -{"mode": "train", "epoch": 183, "iter": 115450, "lr": 2e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.19786, "decode.acc_seg": 73.96359, "aux.loss_seg": 0.15963, "aux.acc_seg": 68.45451, "loss": 0.3575, "time": 0.40169} -{"mode": "train", "epoch": 184, "iter": 115500, "lr": 2e-05, "memory": 22018, "data_time": 0.17241, "decode.loss_seg": 0.19365, "decode.acc_seg": 75.22526, "aux.loss_seg": 0.16072, "aux.acc_seg": 69.68421, "loss": 0.35437, "time": 0.56599} -{"mode": "train", "epoch": 184, "iter": 115550, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.1937, "decode.acc_seg": 73.92529, "aux.loss_seg": 0.15948, "aux.acc_seg": 68.25488, "loss": 0.35318, "time": 0.4011} -{"mode": "train", "epoch": 184, "iter": 115600, "lr": 2e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19374, "decode.acc_seg": 74.5435, "aux.loss_seg": 0.16073, "aux.acc_seg": 68.96093, "loss": 0.35447, "time": 0.40094} -{"mode": "train", "epoch": 184, "iter": 115650, "lr": 2e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.19172, "decode.acc_seg": 73.92157, "aux.loss_seg": 0.15629, "aux.acc_seg": 68.57681, "loss": 0.34801, "time": 0.40139} -{"mode": "train", "epoch": 184, "iter": 115700, "lr": 2e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.19126, "decode.acc_seg": 74.52272, "aux.loss_seg": 0.15574, "aux.acc_seg": 69.1565, "loss": 0.34701, "time": 0.40051} -{"mode": "train", "epoch": 184, "iter": 115750, "lr": 2e-05, "memory": 22018, "data_time": 0.00887, "decode.loss_seg": 0.19185, "decode.acc_seg": 73.91924, "aux.loss_seg": 0.15662, "aux.acc_seg": 68.52227, "loss": 0.34848, "time": 0.40059} -{"mode": "train", "epoch": 184, "iter": 115800, "lr": 2e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.18877, "decode.acc_seg": 74.53818, "aux.loss_seg": 0.1583, "aux.acc_seg": 68.78521, "loss": 0.34707, "time": 0.40031} -{"mode": "train", "epoch": 184, "iter": 115850, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.19664, "decode.acc_seg": 73.62753, "aux.loss_seg": 0.16317, "aux.acc_seg": 67.99059, "loss": 0.35981, "time": 0.39985} -{"mode": "train", "epoch": 184, "iter": 115900, "lr": 2e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.19579, "decode.acc_seg": 73.8126, "aux.loss_seg": 0.15903, "aux.acc_seg": 68.42576, "loss": 0.35483, "time": 0.40033} -{"mode": "train", "epoch": 184, "iter": 115950, "lr": 2e-05, "memory": 22018, "data_time": 0.00856, "decode.loss_seg": 0.19294, "decode.acc_seg": 74.52083, "aux.loss_seg": 0.15936, "aux.acc_seg": 68.79035, "loss": 0.3523, "time": 0.40035} -{"mode": "train", "epoch": 184, "iter": 116000, "lr": 2e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.20091, "decode.acc_seg": 73.72402, "aux.loss_seg": 0.16041, "aux.acc_seg": 68.33255, "loss": 0.36132, "time": 0.40178} -{"mode": "train", "epoch": 184, "iter": 116050, "lr": 2e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.19897, "decode.acc_seg": 74.71475, "aux.loss_seg": 0.16366, "aux.acc_seg": 69.01477, "loss": 0.36263, "time": 0.40013} -{"mode": "train", "epoch": 184, "iter": 116100, "lr": 2e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.19496, "decode.acc_seg": 74.63313, "aux.loss_seg": 0.15678, "aux.acc_seg": 69.42446, "loss": 0.35174, "time": 0.4008} -{"mode": "train", "epoch": 185, "iter": 116150, "lr": 2e-05, "memory": 22018, "data_time": 0.16517, "decode.loss_seg": 0.19319, "decode.acc_seg": 74.52774, "aux.loss_seg": 0.16053, "aux.acc_seg": 68.7726, "loss": 0.35373, "time": 0.55715} -{"mode": "train", "epoch": 185, "iter": 116200, "lr": 2e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.1958, "decode.acc_seg": 74.0748, "aux.loss_seg": 0.15706, "aux.acc_seg": 68.73638, "loss": 0.35286, "time": 0.40087} -{"mode": "train", "epoch": 185, "iter": 116250, "lr": 2e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.19885, "decode.acc_seg": 73.81595, "aux.loss_seg": 0.16318, "aux.acc_seg": 68.09517, "loss": 0.36203, "time": 0.40353} -{"mode": "train", "epoch": 185, "iter": 116300, "lr": 2e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.20074, "decode.acc_seg": 73.80092, "aux.loss_seg": 0.16437, "aux.acc_seg": 68.102, "loss": 0.36511, "time": 0.40293} -{"mode": "train", "epoch": 185, "iter": 116350, "lr": 2e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.18818, "decode.acc_seg": 75.00026, "aux.loss_seg": 0.15857, "aux.acc_seg": 69.38874, "loss": 0.34675, "time": 0.40306} -{"mode": "train", "epoch": 185, "iter": 116400, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.19032, "decode.acc_seg": 73.53598, "aux.loss_seg": 0.15561, "aux.acc_seg": 68.21302, "loss": 0.34594, "time": 0.4033} -{"mode": "train", "epoch": 185, "iter": 116450, "lr": 2e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.1938, "decode.acc_seg": 74.7444, "aux.loss_seg": 0.15916, "aux.acc_seg": 69.13501, "loss": 0.35296, "time": 0.40212} -{"mode": "train", "epoch": 185, "iter": 116500, "lr": 2e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.19309, "decode.acc_seg": 75.78235, "aux.loss_seg": 0.16311, "aux.acc_seg": 69.89218, "loss": 0.35619, "time": 0.40033} -{"mode": "train", "epoch": 185, "iter": 116550, "lr": 2e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.20457, "decode.acc_seg": 73.5533, "aux.loss_seg": 0.16706, "aux.acc_seg": 67.77284, "loss": 0.37163, "time": 0.40263} -{"mode": "train", "epoch": 185, "iter": 116600, "lr": 2e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.19665, "decode.acc_seg": 73.96804, "aux.loss_seg": 0.15715, "aux.acc_seg": 68.46883, "loss": 0.3538, "time": 0.40288} -{"mode": "train", "epoch": 185, "iter": 116650, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.19919, "decode.acc_seg": 74.67011, "aux.loss_seg": 0.16512, "aux.acc_seg": 68.83334, "loss": 0.36431, "time": 0.4016} -{"mode": "train", "epoch": 185, "iter": 116700, "lr": 2e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.19034, "decode.acc_seg": 74.24839, "aux.loss_seg": 0.1598, "aux.acc_seg": 68.62284, "loss": 0.35013, "time": 0.40144} -{"mode": "train", "epoch": 186, "iter": 116750, "lr": 2e-05, "memory": 22018, "data_time": 0.17207, "decode.loss_seg": 0.19883, "decode.acc_seg": 72.92486, "aux.loss_seg": 0.15827, "aux.acc_seg": 67.69527, "loss": 0.3571, "time": 0.56622} -{"mode": "train", "epoch": 186, "iter": 116800, "lr": 2e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.19276, "decode.acc_seg": 74.51455, "aux.loss_seg": 0.15974, "aux.acc_seg": 68.72539, "loss": 0.35251, "time": 0.40048} -{"mode": "train", "epoch": 186, "iter": 116850, "lr": 2e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.1962, "decode.acc_seg": 74.58044, "aux.loss_seg": 0.15829, "aux.acc_seg": 69.15107, "loss": 0.35449, "time": 0.40015} -{"mode": "train", "epoch": 186, "iter": 116900, "lr": 2e-05, "memory": 22018, "data_time": 0.00877, "decode.loss_seg": 0.19059, "decode.acc_seg": 73.65156, "aux.loss_seg": 0.15665, "aux.acc_seg": 68.14604, "loss": 0.34725, "time": 0.40088} -{"mode": "train", "epoch": 186, "iter": 116950, "lr": 2e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.19218, "decode.acc_seg": 74.3658, "aux.loss_seg": 0.16054, "aux.acc_seg": 68.83651, "loss": 0.35273, "time": 0.40288} -{"mode": "train", "epoch": 186, "iter": 117000, "lr": 2e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.19064, "decode.acc_seg": 74.61117, "aux.loss_seg": 0.15495, "aux.acc_seg": 69.2418, "loss": 0.3456, "time": 0.401} -{"mode": "train", "epoch": 186, "iter": 117050, "lr": 2e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.19696, "decode.acc_seg": 74.46991, "aux.loss_seg": 0.15926, "aux.acc_seg": 68.95983, "loss": 0.35621, "time": 0.40061} -{"mode": "train", "epoch": 186, "iter": 117100, "lr": 2e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.19428, "decode.acc_seg": 73.59905, "aux.loss_seg": 0.16093, "aux.acc_seg": 67.92655, "loss": 0.35522, "time": 0.4017} -{"mode": "train", "epoch": 186, "iter": 117150, "lr": 2e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.19732, "decode.acc_seg": 74.25757, "aux.loss_seg": 0.15836, "aux.acc_seg": 68.73329, "loss": 0.35568, "time": 0.40072} -{"mode": "train", "epoch": 186, "iter": 117200, "lr": 2e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.19091, "decode.acc_seg": 74.61313, "aux.loss_seg": 0.16095, "aux.acc_seg": 68.69712, "loss": 0.35186, "time": 0.40012} -{"mode": "train", "epoch": 186, "iter": 117250, "lr": 2e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.19052, "decode.acc_seg": 74.44316, "aux.loss_seg": 0.15921, "aux.acc_seg": 68.78097, "loss": 0.34973, "time": 0.40131} -{"mode": "train", "epoch": 186, "iter": 117300, "lr": 2e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.19813, "decode.acc_seg": 74.29939, "aux.loss_seg": 0.16454, "aux.acc_seg": 68.50677, "loss": 0.36267, "time": 0.40177} -{"mode": "train", "epoch": 186, "iter": 117350, "lr": 2e-05, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.19965, "decode.acc_seg": 73.75778, "aux.loss_seg": 0.16495, "aux.acc_seg": 67.88618, "loss": 0.36461, "time": 0.40174} -{"mode": "train", "epoch": 187, "iter": 117400, "lr": 2e-05, "memory": 22018, "data_time": 0.1701, "decode.loss_seg": 0.19446, "decode.acc_seg": 74.39496, "aux.loss_seg": 0.16263, "aux.acc_seg": 68.63855, "loss": 0.35709, "time": 0.56424} -{"mode": "train", "epoch": 187, "iter": 117450, "lr": 2e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18992, "decode.acc_seg": 75.17753, "aux.loss_seg": 0.15586, "aux.acc_seg": 69.62022, "loss": 0.34578, "time": 0.39959} -{"mode": "train", "epoch": 187, "iter": 117500, "lr": 2e-05, "memory": 22018, "data_time": 0.00741, "decode.loss_seg": 0.18916, "decode.acc_seg": 74.49641, "aux.loss_seg": 0.16061, "aux.acc_seg": 68.65281, "loss": 0.34977, "time": 0.40183} -{"mode": "train", "epoch": 187, "iter": 117550, "lr": 2e-05, "memory": 22018, "data_time": 0.00689, "decode.loss_seg": 0.19307, "decode.acc_seg": 74.09897, "aux.loss_seg": 0.15785, "aux.acc_seg": 68.68627, "loss": 0.35092, "time": 0.40128} -{"mode": "train", "epoch": 187, "iter": 117600, "lr": 2e-05, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.1948, "decode.acc_seg": 74.46871, "aux.loss_seg": 0.16071, "aux.acc_seg": 68.75366, "loss": 0.35551, "time": 0.40194} -{"mode": "train", "epoch": 187, "iter": 117650, "lr": 2e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.18926, "decode.acc_seg": 73.05271, "aux.loss_seg": 0.15546, "aux.acc_seg": 67.63806, "loss": 0.34472, "time": 0.4015} -{"mode": "train", "epoch": 187, "iter": 117700, "lr": 2e-05, "memory": 22018, "data_time": 0.0069, "decode.loss_seg": 0.19305, "decode.acc_seg": 73.24804, "aux.loss_seg": 0.15909, "aux.acc_seg": 67.60831, "loss": 0.35215, "time": 0.40082} -{"mode": "train", "epoch": 187, "iter": 117750, "lr": 2e-05, "memory": 22018, "data_time": 0.00706, "decode.loss_seg": 0.19388, "decode.acc_seg": 74.02585, "aux.loss_seg": 0.16025, "aux.acc_seg": 68.33108, "loss": 0.35413, "time": 0.40073} -{"mode": "train", "epoch": 187, "iter": 117800, "lr": 2e-05, "memory": 22018, "data_time": 0.00709, "decode.loss_seg": 0.19529, "decode.acc_seg": 74.63461, "aux.loss_seg": 0.15471, "aux.acc_seg": 69.36366, "loss": 0.34999, "time": 0.40102} -{"mode": "train", "epoch": 187, "iter": 117850, "lr": 2e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18804, "decode.acc_seg": 74.12176, "aux.loss_seg": 0.15429, "aux.acc_seg": 68.73742, "loss": 0.34233, "time": 0.4014} -{"mode": "train", "epoch": 187, "iter": 117900, "lr": 2e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.19341, "decode.acc_seg": 74.04274, "aux.loss_seg": 0.15824, "aux.acc_seg": 68.54181, "loss": 0.35166, "time": 0.40064} -{"mode": "train", "epoch": 187, "iter": 117950, "lr": 2e-05, "memory": 22018, "data_time": 0.00718, "decode.loss_seg": 0.18829, "decode.acc_seg": 74.81402, "aux.loss_seg": 0.15595, "aux.acc_seg": 69.30372, "loss": 0.34425, "time": 0.39988} -{"mode": "train", "epoch": 188, "iter": 118000, "lr": 2e-05, "memory": 22018, "data_time": 0.16741, "decode.loss_seg": 0.19012, "decode.acc_seg": 74.38085, "aux.loss_seg": 0.16004, "aux.acc_seg": 68.68103, "loss": 0.35016, "time": 0.56114} -{"mode": "train", "epoch": 188, "iter": 118050, "lr": 2e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.18606, "decode.acc_seg": 73.07558, "aux.loss_seg": 0.1554, "aux.acc_seg": 67.60457, "loss": 0.34145, "time": 0.40174} -{"mode": "train", "epoch": 188, "iter": 118100, "lr": 2e-05, "memory": 22018, "data_time": 0.01045, "decode.loss_seg": 0.19396, "decode.acc_seg": 74.83453, "aux.loss_seg": 0.15954, "aux.acc_seg": 69.16451, "loss": 0.3535, "time": 0.40218} -{"mode": "train", "epoch": 188, "iter": 118150, "lr": 2e-05, "memory": 22018, "data_time": 0.0103, "decode.loss_seg": 0.19276, "decode.acc_seg": 75.12532, "aux.loss_seg": 0.15937, "aux.acc_seg": 69.59722, "loss": 0.35213, "time": 0.40233} -{"mode": "train", "epoch": 188, "iter": 118200, "lr": 2e-05, "memory": 22018, "data_time": 0.01009, "decode.loss_seg": 0.19669, "decode.acc_seg": 73.55796, "aux.loss_seg": 0.15955, "aux.acc_seg": 68.02459, "loss": 0.35624, "time": 0.40268} -{"mode": "train", "epoch": 188, "iter": 118250, "lr": 2e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.19477, "decode.acc_seg": 75.06364, "aux.loss_seg": 0.16092, "aux.acc_seg": 69.49777, "loss": 0.3557, "time": 0.40258} -{"mode": "train", "epoch": 188, "iter": 118300, "lr": 2e-05, "memory": 22018, "data_time": 0.00945, "decode.loss_seg": 0.1999, "decode.acc_seg": 74.58431, "aux.loss_seg": 0.16473, "aux.acc_seg": 68.82695, "loss": 0.36463, "time": 0.40162} -{"mode": "train", "epoch": 188, "iter": 118350, "lr": 2e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.18661, "decode.acc_seg": 73.98723, "aux.loss_seg": 0.15507, "aux.acc_seg": 68.55829, "loss": 0.34168, "time": 0.40329} -{"mode": "train", "epoch": 188, "iter": 118400, "lr": 2e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.1932, "decode.acc_seg": 73.9699, "aux.loss_seg": 0.16275, "aux.acc_seg": 68.09264, "loss": 0.35594, "time": 0.40276} -{"mode": "train", "epoch": 188, "iter": 118450, "lr": 2e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.1999, "decode.acc_seg": 75.26361, "aux.loss_seg": 0.16334, "aux.acc_seg": 69.5765, "loss": 0.36324, "time": 0.40206} -{"mode": "train", "epoch": 188, "iter": 118500, "lr": 2e-05, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.18833, "decode.acc_seg": 74.68355, "aux.loss_seg": 0.15382, "aux.acc_seg": 69.3007, "loss": 0.34215, "time": 0.40263} -{"mode": "train", "epoch": 188, "iter": 118550, "lr": 2e-05, "memory": 22018, "data_time": 0.00989, "decode.loss_seg": 0.19462, "decode.acc_seg": 75.48351, "aux.loss_seg": 0.16014, "aux.acc_seg": 69.90227, "loss": 0.35476, "time": 0.40382} -{"mode": "train", "epoch": 188, "iter": 118600, "lr": 2e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.19787, "decode.acc_seg": 74.62073, "aux.loss_seg": 0.15746, "aux.acc_seg": 69.37278, "loss": 0.35533, "time": 0.40358} -{"mode": "train", "epoch": 189, "iter": 118650, "lr": 2e-05, "memory": 22018, "data_time": 0.18637, "decode.loss_seg": 0.18984, "decode.acc_seg": 75.02834, "aux.loss_seg": 0.15255, "aux.acc_seg": 69.86433, "loss": 0.34239, "time": 0.579} -{"mode": "train", "epoch": 189, "iter": 118700, "lr": 2e-05, "memory": 22018, "data_time": 0.00677, "decode.loss_seg": 0.1901, "decode.acc_seg": 74.0889, "aux.loss_seg": 0.15917, "aux.acc_seg": 68.342, "loss": 0.34927, "time": 0.39877} -{"mode": "train", "epoch": 189, "iter": 118750, "lr": 2e-05, "memory": 22018, "data_time": 0.00678, "decode.loss_seg": 0.18433, "decode.acc_seg": 73.24023, "aux.loss_seg": 0.15592, "aux.acc_seg": 67.52787, "loss": 0.34024, "time": 0.39919} -{"mode": "train", "epoch": 189, "iter": 118800, "lr": 2e-05, "memory": 22018, "data_time": 0.00683, "decode.loss_seg": 0.19473, "decode.acc_seg": 74.71602, "aux.loss_seg": 0.16177, "aux.acc_seg": 69.08518, "loss": 0.3565, "time": 0.39897} -{"mode": "train", "epoch": 189, "iter": 118850, "lr": 2e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.18876, "decode.acc_seg": 75.79079, "aux.loss_seg": 0.15584, "aux.acc_seg": 70.0917, "loss": 0.34461, "time": 0.40034} -{"mode": "train", "epoch": 189, "iter": 118900, "lr": 2e-05, "memory": 22018, "data_time": 0.00675, "decode.loss_seg": 0.19119, "decode.acc_seg": 74.17461, "aux.loss_seg": 0.15735, "aux.acc_seg": 68.53826, "loss": 0.34854, "time": 0.39934} -{"mode": "train", "epoch": 189, "iter": 118950, "lr": 2e-05, "memory": 22018, "data_time": 0.00655, "decode.loss_seg": 0.19162, "decode.acc_seg": 74.07687, "aux.loss_seg": 0.16025, "aux.acc_seg": 68.29055, "loss": 0.35186, "time": 0.39895} -{"mode": "train", "epoch": 189, "iter": 119000, "lr": 2e-05, "memory": 22018, "data_time": 0.00663, "decode.loss_seg": 0.1913, "decode.acc_seg": 74.88393, "aux.loss_seg": 0.1622, "aux.acc_seg": 69.10852, "loss": 0.35349, "time": 0.39898} -{"mode": "train", "epoch": 189, "iter": 119050, "lr": 2e-05, "memory": 22018, "data_time": 0.00683, "decode.loss_seg": 0.1939, "decode.acc_seg": 74.08581, "aux.loss_seg": 0.15528, "aux.acc_seg": 68.81895, "loss": 0.34918, "time": 0.39867} -{"mode": "train", "epoch": 189, "iter": 119100, "lr": 2e-05, "memory": 22018, "data_time": 0.00642, "decode.loss_seg": 0.19004, "decode.acc_seg": 75.10461, "aux.loss_seg": 0.16006, "aux.acc_seg": 69.40859, "loss": 0.35009, "time": 0.39958} -{"mode": "train", "epoch": 189, "iter": 119150, "lr": 2e-05, "memory": 22018, "data_time": 0.00613, "decode.loss_seg": 0.19373, "decode.acc_seg": 74.7624, "aux.loss_seg": 0.15949, "aux.acc_seg": 69.11775, "loss": 0.35322, "time": 0.39837} -{"mode": "train", "epoch": 189, "iter": 119200, "lr": 2e-05, "memory": 22018, "data_time": 0.00633, "decode.loss_seg": 0.19124, "decode.acc_seg": 74.55164, "aux.loss_seg": 0.15846, "aux.acc_seg": 68.96663, "loss": 0.3497, "time": 0.39894} -{"mode": "train", "epoch": 189, "iter": 119250, "lr": 2e-05, "memory": 22018, "data_time": 0.00616, "decode.loss_seg": 0.19072, "decode.acc_seg": 73.98318, "aux.loss_seg": 0.15712, "aux.acc_seg": 68.39085, "loss": 0.34784, "time": 0.39802} -{"mode": "train", "epoch": 190, "iter": 119300, "lr": 2e-05, "memory": 22018, "data_time": 0.16588, "decode.loss_seg": 0.19235, "decode.acc_seg": 74.77595, "aux.loss_seg": 0.15889, "aux.acc_seg": 69.12556, "loss": 0.35124, "time": 0.55853} -{"mode": "train", "epoch": 190, "iter": 119350, "lr": 2e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.19943, "decode.acc_seg": 73.80222, "aux.loss_seg": 0.16438, "aux.acc_seg": 67.90519, "loss": 0.36381, "time": 0.39969} -{"mode": "train", "epoch": 190, "iter": 119400, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.19289, "decode.acc_seg": 73.99149, "aux.loss_seg": 0.15375, "aux.acc_seg": 68.66172, "loss": 0.34664, "time": 0.3997} -{"mode": "train", "epoch": 190, "iter": 119450, "lr": 2e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.18629, "decode.acc_seg": 73.39538, "aux.loss_seg": 0.15327, "aux.acc_seg": 68.14492, "loss": 0.33956, "time": 0.40195} -{"mode": "train", "epoch": 190, "iter": 119500, "lr": 2e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.19064, "decode.acc_seg": 74.42149, "aux.loss_seg": 0.15523, "aux.acc_seg": 69.0978, "loss": 0.34587, "time": 0.40119} -{"mode": "train", "epoch": 190, "iter": 119550, "lr": 2e-05, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.18757, "decode.acc_seg": 73.84139, "aux.loss_seg": 0.15332, "aux.acc_seg": 68.60004, "loss": 0.34089, "time": 0.40211} -{"mode": "train", "epoch": 190, "iter": 119600, "lr": 2e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.18898, "decode.acc_seg": 74.77913, "aux.loss_seg": 0.1525, "aux.acc_seg": 69.52146, "loss": 0.34148, "time": 0.40064} -{"mode": "train", "epoch": 190, "iter": 119650, "lr": 2e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.19111, "decode.acc_seg": 73.80497, "aux.loss_seg": 0.15975, "aux.acc_seg": 68.14331, "loss": 0.35086, "time": 0.40192} -{"mode": "train", "epoch": 190, "iter": 119700, "lr": 2e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.19533, "decode.acc_seg": 74.51577, "aux.loss_seg": 0.16212, "aux.acc_seg": 68.7663, "loss": 0.35744, "time": 0.40147} -{"mode": "train", "epoch": 190, "iter": 119750, "lr": 2e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.19715, "decode.acc_seg": 73.97957, "aux.loss_seg": 0.16007, "aux.acc_seg": 68.3333, "loss": 0.35722, "time": 0.40147} -{"mode": "train", "epoch": 190, "iter": 119800, "lr": 2e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.18979, "decode.acc_seg": 74.57678, "aux.loss_seg": 0.15691, "aux.acc_seg": 69.11757, "loss": 0.3467, "time": 0.40138} -{"mode": "train", "epoch": 190, "iter": 119850, "lr": 2e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.19062, "decode.acc_seg": 73.84798, "aux.loss_seg": 0.15763, "aux.acc_seg": 68.22867, "loss": 0.34826, "time": 0.40198} -{"mode": "train", "epoch": 191, "iter": 119900, "lr": 2e-05, "memory": 22018, "data_time": 0.17836, "decode.loss_seg": 0.1975, "decode.acc_seg": 74.21251, "aux.loss_seg": 0.15648, "aux.acc_seg": 69.096, "loss": 0.35399, "time": 0.57262} -{"mode": "train", "epoch": 191, "iter": 119950, "lr": 2e-05, "memory": 22018, "data_time": 0.01001, "decode.loss_seg": 0.19699, "decode.acc_seg": 74.49438, "aux.loss_seg": 0.15757, "aux.acc_seg": 69.08377, "loss": 0.35456, "time": 0.40209} -{"mode": "train", "epoch": 191, "iter": 120000, "lr": 2e-05, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.19117, "decode.acc_seg": 74.35536, "aux.loss_seg": 0.15421, "aux.acc_seg": 69.15724, "loss": 0.34538, "time": 0.4036} -{"mode": "train", "epoch": 191, "iter": 120050, "lr": 1e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.18472, "decode.acc_seg": 75.78218, "aux.loss_seg": 0.15443, "aux.acc_seg": 70.34797, "loss": 0.33915, "time": 0.40249} -{"mode": "train", "epoch": 191, "iter": 120100, "lr": 1e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.19224, "decode.acc_seg": 74.85544, "aux.loss_seg": 0.15834, "aux.acc_seg": 69.45326, "loss": 0.35057, "time": 0.40342} -{"mode": "train", "epoch": 191, "iter": 120150, "lr": 1e-05, "memory": 22018, "data_time": 0.00953, "decode.loss_seg": 0.19144, "decode.acc_seg": 75.63194, "aux.loss_seg": 0.15773, "aux.acc_seg": 70.14065, "loss": 0.34917, "time": 0.40248} -{"mode": "train", "epoch": 191, "iter": 120200, "lr": 1e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.18665, "decode.acc_seg": 74.05161, "aux.loss_seg": 0.15707, "aux.acc_seg": 68.55446, "loss": 0.34372, "time": 0.40373} -{"mode": "train", "epoch": 191, "iter": 120250, "lr": 1e-05, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.19366, "decode.acc_seg": 73.35508, "aux.loss_seg": 0.15904, "aux.acc_seg": 67.66192, "loss": 0.3527, "time": 0.40364} -{"mode": "train", "epoch": 191, "iter": 120300, "lr": 1e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.20216, "decode.acc_seg": 74.70689, "aux.loss_seg": 0.16398, "aux.acc_seg": 69.02997, "loss": 0.36614, "time": 0.40522} -{"mode": "train", "epoch": 191, "iter": 120350, "lr": 1e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.19227, "decode.acc_seg": 74.37724, "aux.loss_seg": 0.15557, "aux.acc_seg": 69.08143, "loss": 0.34785, "time": 0.40523} -{"mode": "train", "epoch": 191, "iter": 120400, "lr": 1e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19626, "decode.acc_seg": 74.5455, "aux.loss_seg": 0.16229, "aux.acc_seg": 68.83299, "loss": 0.35855, "time": 0.40378} -{"mode": "train", "epoch": 191, "iter": 120450, "lr": 1e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.18829, "decode.acc_seg": 74.64107, "aux.loss_seg": 0.15903, "aux.acc_seg": 68.89082, "loss": 0.34732, "time": 0.40281} -{"mode": "train", "epoch": 191, "iter": 120500, "lr": 1e-05, "memory": 22018, "data_time": 0.00896, "decode.loss_seg": 0.19854, "decode.acc_seg": 74.76173, "aux.loss_seg": 0.16156, "aux.acc_seg": 69.31049, "loss": 0.36011, "time": 0.40106} -{"mode": "train", "epoch": 192, "iter": 120550, "lr": 1e-05, "memory": 22018, "data_time": 0.16935, "decode.loss_seg": 0.19512, "decode.acc_seg": 73.60572, "aux.loss_seg": 0.15845, "aux.acc_seg": 68.22564, "loss": 0.35357, "time": 0.56488} -{"mode": "train", "epoch": 192, "iter": 120600, "lr": 1e-05, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.19277, "decode.acc_seg": 74.57228, "aux.loss_seg": 0.15886, "aux.acc_seg": 69.05467, "loss": 0.35163, "time": 0.40228} -{"mode": "train", "epoch": 192, "iter": 120650, "lr": 1e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.19142, "decode.acc_seg": 74.06718, "aux.loss_seg": 0.16121, "aux.acc_seg": 68.24973, "loss": 0.35263, "time": 0.40247} -{"mode": "train", "epoch": 192, "iter": 120700, "lr": 1e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.19109, "decode.acc_seg": 74.19888, "aux.loss_seg": 0.16016, "aux.acc_seg": 68.24499, "loss": 0.35125, "time": 0.40305} -{"mode": "train", "epoch": 192, "iter": 120750, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.18893, "decode.acc_seg": 75.5752, "aux.loss_seg": 0.1571, "aux.acc_seg": 69.94221, "loss": 0.34603, "time": 0.40223} -{"mode": "train", "epoch": 192, "iter": 120800, "lr": 1e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.19311, "decode.acc_seg": 74.70552, "aux.loss_seg": 0.15881, "aux.acc_seg": 69.08082, "loss": 0.35192, "time": 0.40217} -{"mode": "train", "epoch": 192, "iter": 120850, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.19512, "decode.acc_seg": 74.40121, "aux.loss_seg": 0.1601, "aux.acc_seg": 68.83953, "loss": 0.35522, "time": 0.4015} -{"mode": "train", "epoch": 192, "iter": 120900, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18807, "decode.acc_seg": 74.37291, "aux.loss_seg": 0.15761, "aux.acc_seg": 68.96697, "loss": 0.34568, "time": 0.40097} -{"mode": "train", "epoch": 192, "iter": 120950, "lr": 1e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.18256, "decode.acc_seg": 74.10024, "aux.loss_seg": 0.15174, "aux.acc_seg": 68.65314, "loss": 0.3343, "time": 0.40374} -{"mode": "train", "epoch": 192, "iter": 121000, "lr": 1e-05, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.19378, "decode.acc_seg": 74.0941, "aux.loss_seg": 0.16735, "aux.acc_seg": 68.00658, "loss": 0.36114, "time": 0.40274} -{"mode": "train", "epoch": 192, "iter": 121050, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18874, "decode.acc_seg": 75.32126, "aux.loss_seg": 0.15719, "aux.acc_seg": 69.70743, "loss": 0.34593, "time": 0.40068} -{"mode": "train", "epoch": 192, "iter": 121100, "lr": 1e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.19488, "decode.acc_seg": 74.55787, "aux.loss_seg": 0.15715, "aux.acc_seg": 69.21113, "loss": 0.35203, "time": 0.40047} -{"mode": "train", "epoch": 192, "iter": 121150, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18519, "decode.acc_seg": 73.7822, "aux.loss_seg": 0.15075, "aux.acc_seg": 68.64948, "loss": 0.33594, "time": 0.40171} -{"mode": "train", "epoch": 193, "iter": 121200, "lr": 1e-05, "memory": 22018, "data_time": 0.17686, "decode.loss_seg": 0.19762, "decode.acc_seg": 75.01729, "aux.loss_seg": 0.16125, "aux.acc_seg": 69.44736, "loss": 0.35887, "time": 0.56975} -{"mode": "train", "epoch": 193, "iter": 121250, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.19227, "decode.acc_seg": 75.08414, "aux.loss_seg": 0.16317, "aux.acc_seg": 69.175, "loss": 0.35544, "time": 0.40041} -{"mode": "train", "epoch": 193, "iter": 121300, "lr": 1e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.17938, "decode.acc_seg": 74.5509, "aux.loss_seg": 0.14807, "aux.acc_seg": 69.34235, "loss": 0.32744, "time": 0.40027} -{"mode": "train", "epoch": 193, "iter": 121350, "lr": 1e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.19108, "decode.acc_seg": 73.60509, "aux.loss_seg": 0.15698, "aux.acc_seg": 68.12944, "loss": 0.34807, "time": 0.40221} -{"mode": "train", "epoch": 193, "iter": 121400, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.18979, "decode.acc_seg": 74.27285, "aux.loss_seg": 0.15726, "aux.acc_seg": 68.65312, "loss": 0.34705, "time": 0.40105} -{"mode": "train", "epoch": 193, "iter": 121450, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.19035, "decode.acc_seg": 74.56969, "aux.loss_seg": 0.15619, "aux.acc_seg": 69.11307, "loss": 0.34653, "time": 0.40157} -{"mode": "train", "epoch": 193, "iter": 121500, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18497, "decode.acc_seg": 75.25091, "aux.loss_seg": 0.15486, "aux.acc_seg": 69.67742, "loss": 0.33983, "time": 0.40164} -{"mode": "train", "epoch": 193, "iter": 121550, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18608, "decode.acc_seg": 73.24789, "aux.loss_seg": 0.15464, "aux.acc_seg": 67.92351, "loss": 0.34071, "time": 0.40164} -{"mode": "train", "epoch": 193, "iter": 121600, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.18911, "decode.acc_seg": 75.57614, "aux.loss_seg": 0.16022, "aux.acc_seg": 69.75712, "loss": 0.34933, "time": 0.40253} -{"mode": "train", "epoch": 193, "iter": 121650, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.18907, "decode.acc_seg": 73.99248, "aux.loss_seg": 0.15288, "aux.acc_seg": 68.63675, "loss": 0.34196, "time": 0.40221} -{"mode": "train", "epoch": 193, "iter": 121700, "lr": 1e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.19469, "decode.acc_seg": 74.51656, "aux.loss_seg": 0.16429, "aux.acc_seg": 68.63629, "loss": 0.35898, "time": 0.40222} -{"mode": "train", "epoch": 193, "iter": 121750, "lr": 1e-05, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.18977, "decode.acc_seg": 74.48011, "aux.loss_seg": 0.15662, "aux.acc_seg": 69.11355, "loss": 0.34639, "time": 0.40179} -{"mode": "train", "epoch": 194, "iter": 121800, "lr": 1e-05, "memory": 22018, "data_time": 0.18137, "decode.loss_seg": 0.18766, "decode.acc_seg": 74.75034, "aux.loss_seg": 0.1525, "aux.acc_seg": 69.32247, "loss": 0.34016, "time": 0.57575} -{"mode": "train", "epoch": 194, "iter": 121850, "lr": 1e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.18344, "decode.acc_seg": 74.9016, "aux.loss_seg": 0.15458, "aux.acc_seg": 69.44539, "loss": 0.33802, "time": 0.40244} -{"mode": "train", "epoch": 194, "iter": 121900, "lr": 1e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.19194, "decode.acc_seg": 73.85099, "aux.loss_seg": 0.15666, "aux.acc_seg": 68.45518, "loss": 0.3486, "time": 0.40254} -{"mode": "train", "epoch": 194, "iter": 121950, "lr": 1e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.19561, "decode.acc_seg": 75.55842, "aux.loss_seg": 0.16124, "aux.acc_seg": 69.94931, "loss": 0.35685, "time": 0.40347} -{"mode": "train", "epoch": 194, "iter": 122000, "lr": 1e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.19013, "decode.acc_seg": 75.53237, "aux.loss_seg": 0.15732, "aux.acc_seg": 69.9192, "loss": 0.34744, "time": 0.40259} -{"mode": "train", "epoch": 194, "iter": 122050, "lr": 1e-05, "memory": 22018, "data_time": 0.00944, "decode.loss_seg": 0.19738, "decode.acc_seg": 75.47003, "aux.loss_seg": 0.1605, "aux.acc_seg": 69.92004, "loss": 0.35789, "time": 0.40424} -{"mode": "train", "epoch": 194, "iter": 122100, "lr": 1e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.18766, "decode.acc_seg": 74.00507, "aux.loss_seg": 0.15643, "aux.acc_seg": 68.45512, "loss": 0.34408, "time": 0.40521} -{"mode": "train", "epoch": 194, "iter": 122150, "lr": 1e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.18594, "decode.acc_seg": 74.63465, "aux.loss_seg": 0.15589, "aux.acc_seg": 69.20626, "loss": 0.34183, "time": 0.40318} -{"mode": "train", "epoch": 194, "iter": 122200, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.1891, "decode.acc_seg": 74.54687, "aux.loss_seg": 0.15392, "aux.acc_seg": 69.33577, "loss": 0.34302, "time": 0.40383} -{"mode": "train", "epoch": 194, "iter": 122250, "lr": 1e-05, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.19824, "decode.acc_seg": 75.07256, "aux.loss_seg": 0.16118, "aux.acc_seg": 69.56858, "loss": 0.35942, "time": 0.40315} -{"mode": "train", "epoch": 194, "iter": 122300, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.19015, "decode.acc_seg": 73.94531, "aux.loss_seg": 0.16202, "aux.acc_seg": 68.07682, "loss": 0.35217, "time": 0.40188} -{"mode": "train", "epoch": 194, "iter": 122350, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.18944, "decode.acc_seg": 74.78815, "aux.loss_seg": 0.1608, "aux.acc_seg": 68.92472, "loss": 0.35024, "time": 0.40389} -{"mode": "train", "epoch": 194, "iter": 122400, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.18918, "decode.acc_seg": 73.80735, "aux.loss_seg": 0.15814, "aux.acc_seg": 68.27419, "loss": 0.34732, "time": 0.40427} -{"mode": "train", "epoch": 195, "iter": 122450, "lr": 1e-05, "memory": 22018, "data_time": 0.17727, "decode.loss_seg": 0.18414, "decode.acc_seg": 75.08675, "aux.loss_seg": 0.15584, "aux.acc_seg": 69.61882, "loss": 0.33998, "time": 0.57122} -{"mode": "train", "epoch": 195, "iter": 122500, "lr": 1e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.18499, "decode.acc_seg": 74.83928, "aux.loss_seg": 0.15121, "aux.acc_seg": 69.58745, "loss": 0.3362, "time": 0.40234} -{"mode": "train", "epoch": 195, "iter": 122550, "lr": 1e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.19462, "decode.acc_seg": 74.4899, "aux.loss_seg": 0.15822, "aux.acc_seg": 69.08145, "loss": 0.35285, "time": 0.40136} -{"mode": "train", "epoch": 195, "iter": 122600, "lr": 1e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.19148, "decode.acc_seg": 74.44615, "aux.loss_seg": 0.15638, "aux.acc_seg": 68.9858, "loss": 0.34786, "time": 0.403} -{"mode": "train", "epoch": 195, "iter": 122650, "lr": 1e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.18819, "decode.acc_seg": 74.41565, "aux.loss_seg": 0.15764, "aux.acc_seg": 68.88319, "loss": 0.34583, "time": 0.40213} -{"mode": "train", "epoch": 195, "iter": 122700, "lr": 1e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.19604, "decode.acc_seg": 74.97564, "aux.loss_seg": 0.15953, "aux.acc_seg": 69.51227, "loss": 0.35557, "time": 0.40135} -{"mode": "train", "epoch": 195, "iter": 122750, "lr": 1e-05, "memory": 22018, "data_time": 0.00758, "decode.loss_seg": 0.18396, "decode.acc_seg": 73.95587, "aux.loss_seg": 0.15402, "aux.acc_seg": 68.30617, "loss": 0.33798, "time": 0.40285} -{"mode": "train", "epoch": 195, "iter": 122800, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.1959, "decode.acc_seg": 73.4749, "aux.loss_seg": 0.15814, "aux.acc_seg": 68.11241, "loss": 0.35404, "time": 0.40233} -{"mode": "train", "epoch": 195, "iter": 122850, "lr": 1e-05, "memory": 22018, "data_time": 0.00752, "decode.loss_seg": 0.18159, "decode.acc_seg": 74.97331, "aux.loss_seg": 0.15148, "aux.acc_seg": 69.58512, "loss": 0.33307, "time": 0.40133} -{"mode": "train", "epoch": 195, "iter": 122900, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.18955, "decode.acc_seg": 74.16103, "aux.loss_seg": 0.15158, "aux.acc_seg": 68.88171, "loss": 0.34114, "time": 0.40132} -{"mode": "train", "epoch": 195, "iter": 122950, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.19306, "decode.acc_seg": 74.54117, "aux.loss_seg": 0.16014, "aux.acc_seg": 68.84976, "loss": 0.3532, "time": 0.40197} -{"mode": "train", "epoch": 195, "iter": 123000, "lr": 1e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.19012, "decode.acc_seg": 74.43339, "aux.loss_seg": 0.16094, "aux.acc_seg": 68.68684, "loss": 0.35106, "time": 0.40297} -{"mode": "train", "epoch": 196, "iter": 123050, "lr": 1e-05, "memory": 22018, "data_time": 0.17799, "decode.loss_seg": 0.18425, "decode.acc_seg": 74.36241, "aux.loss_seg": 0.15076, "aux.acc_seg": 69.00179, "loss": 0.33501, "time": 0.57121} -{"mode": "train", "epoch": 196, "iter": 123100, "lr": 1e-05, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.18715, "decode.acc_seg": 74.95221, "aux.loss_seg": 0.15577, "aux.acc_seg": 69.51181, "loss": 0.34292, "time": 0.40219} -{"mode": "train", "epoch": 196, "iter": 123150, "lr": 1e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.18471, "decode.acc_seg": 73.98456, "aux.loss_seg": 0.15298, "aux.acc_seg": 68.59256, "loss": 0.33769, "time": 0.40148} -{"mode": "train", "epoch": 196, "iter": 123200, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.1907, "decode.acc_seg": 75.13064, "aux.loss_seg": 0.15463, "aux.acc_seg": 69.85153, "loss": 0.34532, "time": 0.40245} -{"mode": "train", "epoch": 196, "iter": 123250, "lr": 1e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.19528, "decode.acc_seg": 74.31739, "aux.loss_seg": 0.15709, "aux.acc_seg": 69.01607, "loss": 0.35237, "time": 0.40297} -{"mode": "train", "epoch": 196, "iter": 123300, "lr": 1e-05, "memory": 22018, "data_time": 0.00854, "decode.loss_seg": 0.18669, "decode.acc_seg": 75.49561, "aux.loss_seg": 0.15432, "aux.acc_seg": 69.87452, "loss": 0.34101, "time": 0.40208} -{"mode": "train", "epoch": 196, "iter": 123350, "lr": 1e-05, "memory": 22018, "data_time": 0.00906, "decode.loss_seg": 0.19132, "decode.acc_seg": 74.18126, "aux.loss_seg": 0.16118, "aux.acc_seg": 68.41949, "loss": 0.3525, "time": 0.40409} -{"mode": "train", "epoch": 196, "iter": 123400, "lr": 1e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.1865, "decode.acc_seg": 73.57484, "aux.loss_seg": 0.15427, "aux.acc_seg": 68.08508, "loss": 0.34078, "time": 0.40334} -{"mode": "train", "epoch": 196, "iter": 123450, "lr": 1e-05, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.19507, "decode.acc_seg": 74.15497, "aux.loss_seg": 0.1618, "aux.acc_seg": 68.45137, "loss": 0.35687, "time": 0.40468} -{"mode": "train", "epoch": 196, "iter": 123500, "lr": 1e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.18829, "decode.acc_seg": 73.74036, "aux.loss_seg": 0.15558, "aux.acc_seg": 68.22438, "loss": 0.34387, "time": 0.40466} -{"mode": "train", "epoch": 196, "iter": 123550, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.19289, "decode.acc_seg": 74.83326, "aux.loss_seg": 0.16155, "aux.acc_seg": 69.24052, "loss": 0.35444, "time": 0.40326} -{"mode": "train", "epoch": 196, "iter": 123600, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18513, "decode.acc_seg": 73.37812, "aux.loss_seg": 0.15441, "aux.acc_seg": 67.79081, "loss": 0.33954, "time": 0.40395} -{"mode": "train", "epoch": 196, "iter": 123650, "lr": 1e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.18902, "decode.acc_seg": 73.95156, "aux.loss_seg": 0.15805, "aux.acc_seg": 68.32295, "loss": 0.34706, "time": 0.40478} -{"mode": "train", "epoch": 197, "iter": 123700, "lr": 1e-05, "memory": 22018, "data_time": 0.17832, "decode.loss_seg": 0.18945, "decode.acc_seg": 74.90487, "aux.loss_seg": 0.15823, "aux.acc_seg": 69.0699, "loss": 0.34768, "time": 0.57192} -{"mode": "train", "epoch": 197, "iter": 123750, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.19267, "decode.acc_seg": 74.35684, "aux.loss_seg": 0.16195, "aux.acc_seg": 68.47406, "loss": 0.35461, "time": 0.4013} -{"mode": "train", "epoch": 197, "iter": 123800, "lr": 1e-05, "memory": 22018, "data_time": 0.00788, "decode.loss_seg": 0.1952, "decode.acc_seg": 74.54604, "aux.loss_seg": 0.15613, "aux.acc_seg": 69.32352, "loss": 0.35133, "time": 0.40176} -{"mode": "train", "epoch": 197, "iter": 123850, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.18776, "decode.acc_seg": 73.87562, "aux.loss_seg": 0.15767, "aux.acc_seg": 68.28575, "loss": 0.34543, "time": 0.40184} -{"mode": "train", "epoch": 197, "iter": 123900, "lr": 1e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.1867, "decode.acc_seg": 74.52484, "aux.loss_seg": 0.15588, "aux.acc_seg": 69.05539, "loss": 0.34258, "time": 0.40086} -{"mode": "train", "epoch": 197, "iter": 123950, "lr": 1e-05, "memory": 22018, "data_time": 0.00747, "decode.loss_seg": 0.18347, "decode.acc_seg": 75.11532, "aux.loss_seg": 0.151, "aux.acc_seg": 69.77498, "loss": 0.33446, "time": 0.40138} -{"mode": "train", "epoch": 197, "iter": 124000, "lr": 1e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.17956, "decode.acc_seg": 74.37533, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.08506, "loss": 0.32932, "time": 0.40195} -{"mode": "train", "epoch": 197, "iter": 124050, "lr": 1e-05, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.18162, "decode.acc_seg": 75.42655, "aux.loss_seg": 0.15281, "aux.acc_seg": 69.88298, "loss": 0.33443, "time": 0.40324} -{"mode": "train", "epoch": 197, "iter": 124100, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18354, "decode.acc_seg": 73.50727, "aux.loss_seg": 0.14987, "aux.acc_seg": 68.2231, "loss": 0.33341, "time": 0.40158} -{"mode": "train", "epoch": 197, "iter": 124150, "lr": 1e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.19094, "decode.acc_seg": 74.87888, "aux.loss_seg": 0.15716, "aux.acc_seg": 69.38995, "loss": 0.3481, "time": 0.40253} -{"mode": "train", "epoch": 197, "iter": 124200, "lr": 1e-05, "memory": 22018, "data_time": 0.00757, "decode.loss_seg": 0.18976, "decode.acc_seg": 74.0644, "aux.loss_seg": 0.15797, "aux.acc_seg": 68.53445, "loss": 0.34773, "time": 0.40242} -{"mode": "train", "epoch": 197, "iter": 124250, "lr": 1e-05, "memory": 22018, "data_time": 0.00769, "decode.loss_seg": 0.19349, "decode.acc_seg": 75.19334, "aux.loss_seg": 0.15911, "aux.acc_seg": 69.62603, "loss": 0.3526, "time": 0.40208} -{"mode": "train", "epoch": 197, "iter": 124300, "lr": 1e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.18337, "decode.acc_seg": 75.23747, "aux.loss_seg": 0.15769, "aux.acc_seg": 69.35815, "loss": 0.34106, "time": 0.40357} -{"mode": "train", "epoch": 198, "iter": 124350, "lr": 1e-05, "memory": 22018, "data_time": 0.17362, "decode.loss_seg": 0.18283, "decode.acc_seg": 74.59913, "aux.loss_seg": 0.15265, "aux.acc_seg": 69.1171, "loss": 0.33548, "time": 0.56717} -{"mode": "train", "epoch": 198, "iter": 124400, "lr": 1e-05, "memory": 22018, "data_time": 0.00696, "decode.loss_seg": 0.19487, "decode.acc_seg": 75.10328, "aux.loss_seg": 0.1595, "aux.acc_seg": 69.51293, "loss": 0.35436, "time": 0.40016} -{"mode": "train", "epoch": 198, "iter": 124450, "lr": 1e-05, "memory": 22018, "data_time": 0.00646, "decode.loss_seg": 0.18374, "decode.acc_seg": 74.90049, "aux.loss_seg": 0.15593, "aux.acc_seg": 69.23029, "loss": 0.33967, "time": 0.40113} -{"mode": "train", "epoch": 198, "iter": 124500, "lr": 1e-05, "memory": 22018, "data_time": 0.00651, "decode.loss_seg": 0.18848, "decode.acc_seg": 73.86656, "aux.loss_seg": 0.15576, "aux.acc_seg": 68.45555, "loss": 0.34424, "time": 0.4022} -{"mode": "train", "epoch": 198, "iter": 124550, "lr": 1e-05, "memory": 22018, "data_time": 0.00654, "decode.loss_seg": 0.18673, "decode.acc_seg": 75.51144, "aux.loss_seg": 0.15593, "aux.acc_seg": 69.91838, "loss": 0.34266, "time": 0.40151} -{"mode": "train", "epoch": 198, "iter": 124600, "lr": 1e-05, "memory": 22018, "data_time": 0.00665, "decode.loss_seg": 0.19728, "decode.acc_seg": 73.45273, "aux.loss_seg": 0.16108, "aux.acc_seg": 67.77814, "loss": 0.35836, "time": 0.40104} -{"mode": "train", "epoch": 198, "iter": 124650, "lr": 1e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.19355, "decode.acc_seg": 74.77291, "aux.loss_seg": 0.16134, "aux.acc_seg": 69.16885, "loss": 0.35489, "time": 0.4009} -{"mode": "train", "epoch": 198, "iter": 124700, "lr": 1e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.18693, "decode.acc_seg": 74.77092, "aux.loss_seg": 0.15436, "aux.acc_seg": 69.35568, "loss": 0.34128, "time": 0.40104} -{"mode": "train", "epoch": 198, "iter": 124750, "lr": 1e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.19299, "decode.acc_seg": 74.65963, "aux.loss_seg": 0.15853, "aux.acc_seg": 68.9353, "loss": 0.35152, "time": 0.40132} -{"mode": "train", "epoch": 198, "iter": 124800, "lr": 1e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.18998, "decode.acc_seg": 74.26951, "aux.loss_seg": 0.16232, "aux.acc_seg": 68.37078, "loss": 0.3523, "time": 0.40149} -{"mode": "train", "epoch": 198, "iter": 124850, "lr": 1e-05, "memory": 22018, "data_time": 0.00703, "decode.loss_seg": 0.18518, "decode.acc_seg": 73.19336, "aux.loss_seg": 0.15673, "aux.acc_seg": 67.44332, "loss": 0.34192, "time": 0.40186} -{"mode": "train", "epoch": 198, "iter": 124900, "lr": 1e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.18307, "decode.acc_seg": 73.65003, "aux.loss_seg": 0.15039, "aux.acc_seg": 68.27755, "loss": 0.33346, "time": 0.40308} -{"mode": "train", "epoch": 199, "iter": 124950, "lr": 1e-05, "memory": 22018, "data_time": 0.18908, "decode.loss_seg": 0.19306, "decode.acc_seg": 74.71513, "aux.loss_seg": 0.15602, "aux.acc_seg": 69.30102, "loss": 0.34907, "time": 0.58423} -{"mode": "train", "epoch": 199, "iter": 125000, "lr": 1e-05, "memory": 22018, "data_time": 0.00698, "decode.loss_seg": 0.18493, "decode.acc_seg": 74.98235, "aux.loss_seg": 0.15317, "aux.acc_seg": 69.52817, "loss": 0.3381, "time": 0.40029} -{"mode": "train", "epoch": 199, "iter": 125050, "lr": 1e-05, "memory": 22018, "data_time": 0.007, "decode.loss_seg": 0.18085, "decode.acc_seg": 74.13234, "aux.loss_seg": 0.14824, "aux.acc_seg": 68.95789, "loss": 0.32909, "time": 0.4004} -{"mode": "train", "epoch": 199, "iter": 125100, "lr": 1e-05, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.19329, "decode.acc_seg": 73.78772, "aux.loss_seg": 0.1579, "aux.acc_seg": 68.37033, "loss": 0.35119, "time": 0.40148} -{"mode": "train", "epoch": 199, "iter": 125150, "lr": 1e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.18385, "decode.acc_seg": 75.06545, "aux.loss_seg": 0.15427, "aux.acc_seg": 69.57353, "loss": 0.33812, "time": 0.4021} -{"mode": "train", "epoch": 199, "iter": 125200, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.18577, "decode.acc_seg": 74.33199, "aux.loss_seg": 0.1552, "aux.acc_seg": 68.78869, "loss": 0.34097, "time": 0.40211} -{"mode": "train", "epoch": 199, "iter": 125250, "lr": 1e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.18885, "decode.acc_seg": 74.02189, "aux.loss_seg": 0.15087, "aux.acc_seg": 68.87241, "loss": 0.33972, "time": 0.40143} -{"mode": "train", "epoch": 199, "iter": 125300, "lr": 1e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.18578, "decode.acc_seg": 74.65964, "aux.loss_seg": 0.15434, "aux.acc_seg": 69.24705, "loss": 0.34012, "time": 0.40206} -{"mode": "train", "epoch": 199, "iter": 125350, "lr": 1e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.19212, "decode.acc_seg": 73.33674, "aux.loss_seg": 0.15459, "aux.acc_seg": 68.10011, "loss": 0.34671, "time": 0.4028} -{"mode": "train", "epoch": 199, "iter": 125400, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18964, "decode.acc_seg": 73.96234, "aux.loss_seg": 0.16084, "aux.acc_seg": 68.12982, "loss": 0.35048, "time": 0.40226} -{"mode": "train", "epoch": 199, "iter": 125450, "lr": 1e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.18105, "decode.acc_seg": 74.71133, "aux.loss_seg": 0.14846, "aux.acc_seg": 69.44039, "loss": 0.32952, "time": 0.40219} -{"mode": "train", "epoch": 199, "iter": 125500, "lr": 1e-05, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.18829, "decode.acc_seg": 73.6624, "aux.loss_seg": 0.1569, "aux.acc_seg": 68.09423, "loss": 0.34519, "time": 0.40202} -{"mode": "train", "epoch": 199, "iter": 125550, "lr": 1e-05, "memory": 22018, "data_time": 0.00732, "decode.loss_seg": 0.18763, "decode.acc_seg": 74.74892, "aux.loss_seg": 0.15922, "aux.acc_seg": 68.94729, "loss": 0.34685, "time": 0.40221} -{"mode": "train", "epoch": 200, "iter": 125600, "lr": 1e-05, "memory": 22018, "data_time": 0.16739, "decode.loss_seg": 0.18722, "decode.acc_seg": 74.73604, "aux.loss_seg": 0.15458, "aux.acc_seg": 69.34353, "loss": 0.34181, "time": 0.56185} -{"mode": "train", "epoch": 200, "iter": 125650, "lr": 1e-05, "memory": 22018, "data_time": 0.007, "decode.loss_seg": 0.19094, "decode.acc_seg": 74.14645, "aux.loss_seg": 0.15854, "aux.acc_seg": 68.54542, "loss": 0.34948, "time": 0.40191} -{"mode": "train", "epoch": 200, "iter": 125700, "lr": 1e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.18819, "decode.acc_seg": 74.21705, "aux.loss_seg": 0.15535, "aux.acc_seg": 68.67013, "loss": 0.34354, "time": 0.40155} -{"mode": "train", "epoch": 200, "iter": 125750, "lr": 1e-05, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.18707, "decode.acc_seg": 74.90993, "aux.loss_seg": 0.15775, "aux.acc_seg": 69.25083, "loss": 0.34481, "time": 0.40216} -{"mode": "train", "epoch": 200, "iter": 125800, "lr": 1e-05, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.19056, "decode.acc_seg": 74.26792, "aux.loss_seg": 0.15554, "aux.acc_seg": 68.74624, "loss": 0.3461, "time": 0.40205} -{"mode": "train", "epoch": 200, "iter": 125850, "lr": 1e-05, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.18769, "decode.acc_seg": 74.47814, "aux.loss_seg": 0.15233, "aux.acc_seg": 69.1765, "loss": 0.34002, "time": 0.40211} -{"mode": "train", "epoch": 200, "iter": 125900, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.191, "decode.acc_seg": 74.86401, "aux.loss_seg": 0.15505, "aux.acc_seg": 69.41241, "loss": 0.34605, "time": 0.40135} -{"mode": "train", "epoch": 200, "iter": 125950, "lr": 1e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18558, "decode.acc_seg": 73.52282, "aux.loss_seg": 0.15559, "aux.acc_seg": 67.90672, "loss": 0.34117, "time": 0.40131} -{"mode": "train", "epoch": 200, "iter": 126000, "lr": 1e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.18875, "decode.acc_seg": 75.87707, "aux.loss_seg": 0.15778, "aux.acc_seg": 70.24333, "loss": 0.34653, "time": 0.40033} -{"mode": "train", "epoch": 200, "iter": 126050, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.18439, "decode.acc_seg": 74.76722, "aux.loss_seg": 0.15577, "aux.acc_seg": 69.1329, "loss": 0.34016, "time": 0.40128} -{"mode": "train", "epoch": 200, "iter": 126100, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.18466, "decode.acc_seg": 73.27745, "aux.loss_seg": 0.15209, "aux.acc_seg": 68.03385, "loss": 0.33675, "time": 0.40219} -{"mode": "train", "epoch": 200, "iter": 126150, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.18758, "decode.acc_seg": 74.15258, "aux.loss_seg": 0.15759, "aux.acc_seg": 68.50538, "loss": 0.34518, "time": 0.40295} -{"mode": "train", "epoch": 200, "iter": 126200, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.19284, "decode.acc_seg": 72.92991, "aux.loss_seg": 0.15697, "aux.acc_seg": 67.41898, "loss": 0.34981, "time": 0.40176} -{"mode": "train", "epoch": 201, "iter": 126250, "lr": 1e-05, "memory": 22018, "data_time": 0.17729, "decode.loss_seg": 0.18744, "decode.acc_seg": 74.33655, "aux.loss_seg": 0.15504, "aux.acc_seg": 68.84697, "loss": 0.34248, "time": 0.57166} -{"mode": "train", "epoch": 201, "iter": 126300, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.19013, "decode.acc_seg": 74.36471, "aux.loss_seg": 0.15789, "aux.acc_seg": 68.70242, "loss": 0.34802, "time": 0.40158} -{"mode": "train", "epoch": 201, "iter": 126350, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18818, "decode.acc_seg": 73.70687, "aux.loss_seg": 0.15549, "aux.acc_seg": 68.08488, "loss": 0.34367, "time": 0.40208} -{"mode": "train", "epoch": 201, "iter": 126400, "lr": 1e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.18249, "decode.acc_seg": 74.06298, "aux.loss_seg": 0.15315, "aux.acc_seg": 68.58499, "loss": 0.33564, "time": 0.4027} -{"mode": "train", "epoch": 201, "iter": 126450, "lr": 1e-05, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.1801, "decode.acc_seg": 75.13483, "aux.loss_seg": 0.15185, "aux.acc_seg": 69.71074, "loss": 0.33195, "time": 0.40187} -{"mode": "train", "epoch": 201, "iter": 126500, "lr": 1e-05, "memory": 22018, "data_time": 0.0075, "decode.loss_seg": 0.18633, "decode.acc_seg": 74.36202, "aux.loss_seg": 0.15902, "aux.acc_seg": 68.71899, "loss": 0.34536, "time": 0.40178} -{"mode": "train", "epoch": 201, "iter": 126550, "lr": 1e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.19126, "decode.acc_seg": 73.92698, "aux.loss_seg": 0.16165, "aux.acc_seg": 68.13109, "loss": 0.35291, "time": 0.40202} -{"mode": "train", "epoch": 201, "iter": 126600, "lr": 1e-05, "memory": 22018, "data_time": 0.00726, "decode.loss_seg": 0.18303, "decode.acc_seg": 74.62839, "aux.loss_seg": 0.15135, "aux.acc_seg": 69.35579, "loss": 0.33438, "time": 0.40207} -{"mode": "train", "epoch": 201, "iter": 126650, "lr": 1e-05, "memory": 22018, "data_time": 0.00705, "decode.loss_seg": 0.18158, "decode.acc_seg": 74.95136, "aux.loss_seg": 0.15218, "aux.acc_seg": 69.43965, "loss": 0.33376, "time": 0.40188} -{"mode": "train", "epoch": 201, "iter": 126700, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.19061, "decode.acc_seg": 75.59539, "aux.loss_seg": 0.15812, "aux.acc_seg": 70.05387, "loss": 0.34874, "time": 0.40051} -{"mode": "train", "epoch": 201, "iter": 126750, "lr": 1e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.19026, "decode.acc_seg": 73.62346, "aux.loss_seg": 0.15482, "aux.acc_seg": 68.30972, "loss": 0.34507, "time": 0.40304} -{"mode": "train", "epoch": 201, "iter": 126800, "lr": 1e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.18173, "decode.acc_seg": 74.5539, "aux.loss_seg": 0.15345, "aux.acc_seg": 69.06704, "loss": 0.33518, "time": 0.40113} -{"mode": "train", "epoch": 202, "iter": 126850, "lr": 1e-05, "memory": 22018, "data_time": 0.17482, "decode.loss_seg": 0.18865, "decode.acc_seg": 74.48056, "aux.loss_seg": 0.15965, "aux.acc_seg": 68.76222, "loss": 0.3483, "time": 0.57123} -{"mode": "train", "epoch": 202, "iter": 126900, "lr": 1e-05, "memory": 22018, "data_time": 0.00819, "decode.loss_seg": 0.1919, "decode.acc_seg": 75.62063, "aux.loss_seg": 0.15594, "aux.acc_seg": 70.05745, "loss": 0.34784, "time": 0.40221} -{"mode": "train", "epoch": 202, "iter": 126950, "lr": 1e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.18502, "decode.acc_seg": 74.05368, "aux.loss_seg": 0.15142, "aux.acc_seg": 68.73631, "loss": 0.33644, "time": 0.4009} -{"mode": "train", "epoch": 202, "iter": 127000, "lr": 1e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.18541, "decode.acc_seg": 74.3211, "aux.loss_seg": 0.15913, "aux.acc_seg": 68.66348, "loss": 0.34454, "time": 0.40141} -{"mode": "train", "epoch": 202, "iter": 127050, "lr": 1e-05, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.19067, "decode.acc_seg": 74.95867, "aux.loss_seg": 0.1618, "aux.acc_seg": 69.07766, "loss": 0.35246, "time": 0.40293} -{"mode": "train", "epoch": 202, "iter": 127100, "lr": 1e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.18187, "decode.acc_seg": 74.51509, "aux.loss_seg": 0.15292, "aux.acc_seg": 68.89737, "loss": 0.33478, "time": 0.40096} -{"mode": "train", "epoch": 202, "iter": 127150, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.20038, "decode.acc_seg": 73.59107, "aux.loss_seg": 0.16375, "aux.acc_seg": 67.86299, "loss": 0.36413, "time": 0.40154} -{"mode": "train", "epoch": 202, "iter": 127200, "lr": 1e-05, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.183, "decode.acc_seg": 74.39477, "aux.loss_seg": 0.148, "aux.acc_seg": 69.24328, "loss": 0.331, "time": 0.40208} -{"mode": "train", "epoch": 202, "iter": 127250, "lr": 1e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.19005, "decode.acc_seg": 73.97096, "aux.loss_seg": 0.15533, "aux.acc_seg": 68.56433, "loss": 0.34537, "time": 0.40158} -{"mode": "train", "epoch": 202, "iter": 127300, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18712, "decode.acc_seg": 74.91422, "aux.loss_seg": 0.15305, "aux.acc_seg": 69.59833, "loss": 0.34017, "time": 0.40231} -{"mode": "train", "epoch": 202, "iter": 127350, "lr": 1e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.19009, "decode.acc_seg": 74.45597, "aux.loss_seg": 0.15647, "aux.acc_seg": 69.07904, "loss": 0.34656, "time": 0.40108} -{"mode": "train", "epoch": 202, "iter": 127400, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18344, "decode.acc_seg": 75.31349, "aux.loss_seg": 0.15616, "aux.acc_seg": 69.47363, "loss": 0.3396, "time": 0.40282} -{"mode": "train", "epoch": 202, "iter": 127450, "lr": 1e-05, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.17701, "decode.acc_seg": 75.13047, "aux.loss_seg": 0.14912, "aux.acc_seg": 69.88939, "loss": 0.32613, "time": 0.40205} -{"mode": "train", "epoch": 203, "iter": 127500, "lr": 1e-05, "memory": 22018, "data_time": 0.17544, "decode.loss_seg": 0.18803, "decode.acc_seg": 74.47006, "aux.loss_seg": 0.15686, "aux.acc_seg": 68.92411, "loss": 0.3449, "time": 0.56835} -{"mode": "train", "epoch": 203, "iter": 127550, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.18294, "decode.acc_seg": 74.46056, "aux.loss_seg": 0.15173, "aux.acc_seg": 69.07894, "loss": 0.33467, "time": 0.40158} -{"mode": "train", "epoch": 203, "iter": 127600, "lr": 1e-05, "memory": 22018, "data_time": 0.0071, "decode.loss_seg": 0.18669, "decode.acc_seg": 73.881, "aux.loss_seg": 0.15711, "aux.acc_seg": 68.31201, "loss": 0.3438, "time": 0.40093} -{"mode": "train", "epoch": 203, "iter": 127650, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.18533, "decode.acc_seg": 74.93111, "aux.loss_seg": 0.15596, "aux.acc_seg": 69.36235, "loss": 0.34129, "time": 0.40178} -{"mode": "train", "epoch": 203, "iter": 127700, "lr": 1e-05, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.19185, "decode.acc_seg": 74.87201, "aux.loss_seg": 0.15804, "aux.acc_seg": 69.30665, "loss": 0.34989, "time": 0.40057} -{"mode": "train", "epoch": 203, "iter": 127750, "lr": 1e-05, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.18672, "decode.acc_seg": 74.25327, "aux.loss_seg": 0.1552, "aux.acc_seg": 68.69711, "loss": 0.34192, "time": 0.40173} -{"mode": "train", "epoch": 203, "iter": 127800, "lr": 1e-05, "memory": 22018, "data_time": 0.00721, "decode.loss_seg": 0.18305, "decode.acc_seg": 74.4548, "aux.loss_seg": 0.15294, "aux.acc_seg": 68.97116, "loss": 0.33599, "time": 0.40235} -{"mode": "train", "epoch": 203, "iter": 127850, "lr": 1e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.18836, "decode.acc_seg": 74.8571, "aux.loss_seg": 0.15587, "aux.acc_seg": 69.26747, "loss": 0.34423, "time": 0.40063} -{"mode": "train", "epoch": 203, "iter": 127900, "lr": 1e-05, "memory": 22018, "data_time": 0.00761, "decode.loss_seg": 0.18672, "decode.acc_seg": 74.7358, "aux.loss_seg": 0.15316, "aux.acc_seg": 69.45788, "loss": 0.33988, "time": 0.40152} -{"mode": "train", "epoch": 203, "iter": 127950, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.18358, "decode.acc_seg": 74.38715, "aux.loss_seg": 0.15306, "aux.acc_seg": 68.88288, "loss": 0.33664, "time": 0.40059} -{"mode": "val", "epoch": 203, "iter": 128000, "lr": 1e-05, "mIoU": 0.4642, "mAcc": 0.5778, "aAcc": 0.8164, "IoU.wall": 0.7562, "IoU.building": 0.8084, "IoU.sky": 0.9376, "IoU.floor": 0.8038, "IoU.tree": 0.7253, "IoU.ceiling": 0.8297, "IoU.road": 0.8179, "IoU.bed ": 0.8663, "IoU.windowpane": 0.5958, "IoU.grass": 0.6502, "IoU.cabinet": 0.5921, "IoU.sidewalk": 0.6132, "IoU.person": 0.7685, "IoU.earth": 0.3483, "IoU.door": 0.4425, "IoU.table": 0.5663, "IoU.mountain": 0.6015, "IoU.plant": 0.505, "IoU.curtain": 0.7188, "IoU.chair": 0.5299, "IoU.car": 0.8179, "IoU.water": 0.5355, "IoU.painting": 0.7068, "IoU.sofa": 0.59, "IoU.shelf": 0.3789, "IoU.house": 0.3558, "IoU.sea": 0.5155, "IoU.mirror": 0.5981, "IoU.rug": 0.6108, "IoU.field": 0.2706, "IoU.armchair": 0.3339, "IoU.seat": 0.5663, "IoU.fence": 0.4168, "IoU.desk": 0.4774, "IoU.rock": 0.4426, "IoU.wardrobe": 0.5167, "IoU.lamp": 0.576, "IoU.bathtub": 0.7457, "IoU.railing": 0.3445, "IoU.cushion": 0.5176, "IoU.base": 0.2794, "IoU.box": 0.2055, "IoU.column": 0.419, "IoU.signboard": 0.333, "IoU.chest of drawers": 0.3658, "IoU.counter": 0.3138, "IoU.sand": 0.3216, "IoU.sink": 0.6894, "IoU.skyscraper": 0.6577, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6322, "IoU.grandstand": 0.3956, "IoU.path": 0.2182, "IoU.stairs": 0.2765, "IoU.runway": 0.6439, "IoU.case": 0.3804, "IoU.pool table": 0.9123, "IoU.pillow": 0.5026, "IoU.screen door": 0.6912, "IoU.stairway": 0.2555, "IoU.river": 0.0882, "IoU.bridge": 0.62, "IoU.bookcase": 0.4237, "IoU.blind": NaN, "IoU.coffee table": 0.5194, "IoU.toilet": 0.8336, "IoU.flower": 0.4046, "IoU.book": 0.4453, "IoU.hill": 0.1603, "IoU.bench": 0.3649, "IoU.countertop": 0.5601, "IoU.stove": 0.688, "IoU.palm": 0.4439, "IoU.kitchen island": 0.3124, "IoU.computer": 0.5692, "IoU.swivel chair": 0.3795, "IoU.boat": 0.5843, "IoU.bar": 0.3204, "IoU.arcade machine": 0.3957, "IoU.hovel": 0.3677, "IoU.bus": 0.8238, "IoU.towel": 0.6102, "IoU.light": 0.5246, "IoU.truck": 0.3643, "IoU.tower": 0.0729, "IoU.chandelier": 0.6255, "IoU.awning": 0.3156, "IoU.streetlight": 0.2017, "IoU.booth": 0.5572, "IoU.television receiver": NaN, "IoU.airplane": 0.5496, "IoU.dirt track": 0.284, "IoU.apparel": 0.3332, "IoU.pole": 0.1759, "IoU.land": 0.002, "IoU.bannister": 0.1071, "IoU.escalator": 0.2334, "IoU.ottoman": 0.3739, "IoU.bottle": NaN, "IoU.buffet": 0.4152, "IoU.poster": 0.2845, "IoU.stage": 0.1248, "IoU.van": 0.4135, "IoU.ship": 0.6451, "IoU.fountain": 0.2452, "IoU.conveyer belt": 0.7738, "IoU.canopy": 0.2564, "IoU.washer": 0.719, "IoU.plaything": 0.1861, "IoU.swimming pool": 0.6125, "IoU.stool": 0.4137, "IoU.barrel": 0.4345, "IoU.basket": 0.2424, "IoU.waterfall": 0.5721, "IoU.tent": 0.9287, "IoU.bag": 0.1126, "IoU.minibike": 0.6426, "IoU.cradle": NaN, "IoU.oven": 0.4313, "IoU.ball": 0.383, "IoU.food": 0.4654, "IoU.step": 0.1189, "IoU.tank": 0.4469, "IoU.trade name": 0.2438, "IoU.microwave": 0.735, "IoU.pot": 0.4798, "IoU.animal": NaN, "IoU.bicycle": 0.4959, "IoU.lake": 0.4755, "IoU.dishwasher": 0.5192, "IoU.screen": 0.6246, "IoU.blanket": 0.1162, "IoU.sculpture": 0.5498, "IoU.hood": 0.5445, "IoU.sconce": 0.399, "IoU.vase": 0.3081, "IoU.traffic light": 0.2546, "IoU.tray": 0.0856, "IoU.ashcan": 0.3161, "IoU.fan": 0.5366, "IoU.pier": 0.6016, "IoU.crt screen": 0.1326, "IoU.plate": 0.5255, "IoU.monitor": 0.5199, "IoU.bulletin board": 0.3196, "IoU.shower": 0.0241, "IoU.radiator": 0.4367, "IoU.glass": 0.1214, "IoU.clock": 0.3778, "IoU.flag": 0.3152, "Acc.wall": 0.8715, "Acc.building": 0.9233, "Acc.sky": 0.9707, "Acc.floor": 0.9008, "Acc.tree": 0.8728, "Acc.ceiling": 0.9142, "Acc.road": 0.8873, "Acc.bed ": 0.9478, "Acc.windowpane": 0.7815, "Acc.grass": 0.7903, "Acc.cabinet": 0.7419, "Acc.sidewalk": 0.8037, "Acc.person": 0.9066, "Acc.earth": 0.4705, "Acc.door": 0.5701, "Acc.table": 0.743, "Acc.mountain": 0.7497, "Acc.plant": 0.6391, "Acc.curtain": 0.836, "Acc.chair": 0.6906, "Acc.car": 0.9119, "Acc.water": 0.6809, "Acc.painting": 0.8588, "Acc.sofa": 0.7824, "Acc.shelf": 0.5497, "Acc.house": 0.4813, "Acc.sea": 0.7012, "Acc.mirror": 0.6955, "Acc.rug": 0.7121, "Acc.field": 0.452, "Acc.armchair": 0.474, "Acc.seat": 0.7558, "Acc.fence": 0.5884, "Acc.desk": 0.6781, "Acc.rock": 0.6732, "Acc.wardrobe": 0.6466, "Acc.lamp": 0.7079, "Acc.bathtub": 0.804, "Acc.railing": 0.4839, "Acc.cushion": 0.6816, "Acc.base": 0.4271, "Acc.box": 0.2671, "Acc.column": 0.5161, "Acc.signboard": 0.4701, "Acc.chest of drawers": 0.5118, "Acc.counter": 0.3737, "Acc.sand": 0.5093, "Acc.sink": 0.7892, "Acc.skyscraper": 0.8034, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7938, "Acc.grandstand": 0.5948, "Acc.path": 0.3196, "Acc.stairs": 0.3666, "Acc.runway": 0.8603, "Acc.case": 0.5021, "Acc.pool table": 0.9588, "Acc.pillow": 0.5849, "Acc.screen door": 0.7651, "Acc.stairway": 0.3469, "Acc.river": 0.2059, "Acc.bridge": 0.7693, "Acc.bookcase": 0.5159, "Acc.blind": NaN, "Acc.coffee table": 0.7792, "Acc.toilet": 0.8858, "Acc.flower": 0.5167, "Acc.book": 0.6447, "Acc.hill": 0.1972, "Acc.bench": 0.436, "Acc.countertop": 0.736, "Acc.stove": 0.7616, "Acc.palm": 0.6836, "Acc.kitchen island": 0.5498, "Acc.computer": 0.6878, "Acc.swivel chair": 0.5178, "Acc.boat": 0.6771, "Acc.bar": 0.3866, "Acc.arcade machine": 0.4131, "Acc.hovel": 0.394, "Acc.bus": 0.8976, "Acc.towel": 0.7375, "Acc.light": 0.6051, "Acc.truck": 0.4625, "Acc.tower": 0.0881, "Acc.chandelier": 0.7801, "Acc.awning": 0.3725, "Acc.streetlight": 0.2624, "Acc.booth": 0.6798, "Acc.television receiver": NaN, "Acc.airplane": 0.6144, "Acc.dirt track": 0.4401, "Acc.apparel": 0.4435, "Acc.pole": 0.2738, "Acc.land": 0.0024, "Acc.bannister": 0.1399, "Acc.escalator": 0.2856, "Acc.ottoman": 0.5868, "Acc.bottle": NaN, "Acc.buffet": 0.4866, "Acc.poster": 0.3486, "Acc.stage": 0.2045, "Acc.van": 0.5482, "Acc.ship": 0.8908, "Acc.fountain": 0.2659, "Acc.conveyer belt": 0.8525, "Acc.canopy": 0.3124, "Acc.washer": 0.7325, "Acc.plaything": 0.2836, "Acc.swimming pool": 0.7973, "Acc.stool": 0.5212, "Acc.barrel": 0.6126, "Acc.basket": 0.4183, "Acc.waterfall": 0.6239, "Acc.tent": 0.9821, "Acc.bag": 0.1522, "Acc.minibike": 0.7682, "Acc.cradle": NaN, "Acc.oven": 0.6008, "Acc.ball": 0.4692, "Acc.food": 0.5453, "Acc.step": 0.1399, "Acc.tank": 0.5196, "Acc.trade name": 0.3052, "Acc.microwave": 0.8217, "Acc.pot": 0.5639, "Acc.animal": NaN, "Acc.bicycle": 0.7445, "Acc.lake": 0.5783, "Acc.dishwasher": 0.6155, "Acc.screen": 0.8417, "Acc.blanket": 0.1291, "Acc.sculpture": 0.6715, "Acc.hood": 0.6066, "Acc.sconce": 0.4911, "Acc.vase": 0.4659, "Acc.traffic light": 0.3921, "Acc.tray": 0.1455, "Acc.ashcan": 0.395, "Acc.fan": 0.6615, "Acc.pier": 0.8119, "Acc.crt screen": 0.1935, "Acc.plate": 0.7015, "Acc.monitor": 0.584, "Acc.bulletin board": 0.4186, "Acc.shower": 0.0643, "Acc.radiator": 0.4836, "Acc.glass": 0.1302, "Acc.clock": 0.4272, "Acc.flag": 0.3616} -{"mode": "train", "epoch": 203, "iter": 128050, "lr": 1e-05, "memory": 22018, "data_time": 1.85226, "decode.loss_seg": 0.18342, "decode.acc_seg": 74.41536, "aux.loss_seg": 0.15222, "aux.acc_seg": 69.12966, "loss": 0.33565, "time": 2.24719} -{"mode": "train", "epoch": 204, "iter": 128100, "lr": 1e-05, "memory": 22018, "data_time": 0.17757, "decode.loss_seg": 0.19172, "decode.acc_seg": 74.74212, "aux.loss_seg": 0.15855, "aux.acc_seg": 69.14838, "loss": 0.35027, "time": 0.57171} -{"mode": "train", "epoch": 204, "iter": 128150, "lr": 1e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.18012, "decode.acc_seg": 75.96789, "aux.loss_seg": 0.15285, "aux.acc_seg": 70.42201, "loss": 0.33297, "time": 0.40189} -{"mode": "train", "epoch": 204, "iter": 128200, "lr": 1e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.18065, "decode.acc_seg": 75.69151, "aux.loss_seg": 0.15144, "aux.acc_seg": 70.3095, "loss": 0.33209, "time": 0.40254} -{"mode": "train", "epoch": 204, "iter": 128250, "lr": 1e-05, "memory": 22018, "data_time": 0.00911, "decode.loss_seg": 0.19003, "decode.acc_seg": 75.32536, "aux.loss_seg": 0.15486, "aux.acc_seg": 70.02171, "loss": 0.34489, "time": 0.40201} -{"mode": "train", "epoch": 204, "iter": 128300, "lr": 1e-05, "memory": 22018, "data_time": 0.00858, "decode.loss_seg": 0.18985, "decode.acc_seg": 74.10777, "aux.loss_seg": 0.15595, "aux.acc_seg": 68.67638, "loss": 0.3458, "time": 0.4019} -{"mode": "train", "epoch": 204, "iter": 128350, "lr": 1e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.18684, "decode.acc_seg": 74.8724, "aux.loss_seg": 0.15619, "aux.acc_seg": 69.30334, "loss": 0.34303, "time": 0.40283} -{"mode": "train", "epoch": 204, "iter": 128400, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.18842, "decode.acc_seg": 75.00156, "aux.loss_seg": 0.15507, "aux.acc_seg": 69.52886, "loss": 0.34349, "time": 0.40317} -{"mode": "train", "epoch": 204, "iter": 128450, "lr": 1e-05, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.18927, "decode.acc_seg": 75.40304, "aux.loss_seg": 0.15596, "aux.acc_seg": 69.8845, "loss": 0.34523, "time": 0.40222} -{"mode": "train", "epoch": 204, "iter": 128500, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.19543, "decode.acc_seg": 74.25763, "aux.loss_seg": 0.16877, "aux.acc_seg": 68.06379, "loss": 0.36419, "time": 0.40264} -{"mode": "train", "epoch": 204, "iter": 128550, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17996, "decode.acc_seg": 73.52668, "aux.loss_seg": 0.15168, "aux.acc_seg": 68.20217, "loss": 0.33164, "time": 0.40353} -{"mode": "train", "epoch": 204, "iter": 128600, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18434, "decode.acc_seg": 74.58856, "aux.loss_seg": 0.15268, "aux.acc_seg": 69.22365, "loss": 0.33702, "time": 0.40291} -{"mode": "train", "epoch": 204, "iter": 128650, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.18793, "decode.acc_seg": 75.29847, "aux.loss_seg": 0.15713, "aux.acc_seg": 69.64375, "loss": 0.34506, "time": 0.40344} -{"mode": "train", "epoch": 204, "iter": 128700, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18359, "decode.acc_seg": 74.97455, "aux.loss_seg": 0.15248, "aux.acc_seg": 69.43518, "loss": 0.33607, "time": 0.40335} -{"mode": "train", "epoch": 205, "iter": 128750, "lr": 1e-05, "memory": 22018, "data_time": 0.17093, "decode.loss_seg": 0.18066, "decode.acc_seg": 73.23812, "aux.loss_seg": 0.15028, "aux.acc_seg": 67.93726, "loss": 0.33093, "time": 0.5646} -{"mode": "train", "epoch": 205, "iter": 128800, "lr": 1e-05, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.18008, "decode.acc_seg": 73.2529, "aux.loss_seg": 0.15092, "aux.acc_seg": 67.84959, "loss": 0.331, "time": 0.40256} -{"mode": "train", "epoch": 205, "iter": 128850, "lr": 1e-05, "memory": 22018, "data_time": 0.00975, "decode.loss_seg": 0.18067, "decode.acc_seg": 74.70279, "aux.loss_seg": 0.1523, "aux.acc_seg": 69.29659, "loss": 0.33297, "time": 0.4017} -{"mode": "train", "epoch": 205, "iter": 128900, "lr": 1e-05, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.18557, "decode.acc_seg": 75.10628, "aux.loss_seg": 0.15321, "aux.acc_seg": 69.7076, "loss": 0.33878, "time": 0.40189} -{"mode": "train", "epoch": 205, "iter": 128950, "lr": 1e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.18354, "decode.acc_seg": 75.39593, "aux.loss_seg": 0.15651, "aux.acc_seg": 69.7134, "loss": 0.34006, "time": 0.40303} -{"mode": "train", "epoch": 205, "iter": 129000, "lr": 1e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.18415, "decode.acc_seg": 75.02776, "aux.loss_seg": 0.15603, "aux.acc_seg": 69.34409, "loss": 0.34018, "time": 0.40232} -{"mode": "train", "epoch": 205, "iter": 129050, "lr": 1e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17717, "decode.acc_seg": 73.84521, "aux.loss_seg": 0.15104, "aux.acc_seg": 68.40811, "loss": 0.3282, "time": 0.40334} -{"mode": "train", "epoch": 205, "iter": 129100, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18025, "decode.acc_seg": 73.64884, "aux.loss_seg": 0.15123, "aux.acc_seg": 68.25478, "loss": 0.33148, "time": 0.40188} -{"mode": "train", "epoch": 205, "iter": 129150, "lr": 1e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.1876, "decode.acc_seg": 75.03189, "aux.loss_seg": 0.15509, "aux.acc_seg": 69.61365, "loss": 0.34268, "time": 0.40444} -{"mode": "train", "epoch": 205, "iter": 129200, "lr": 1e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.18563, "decode.acc_seg": 74.69073, "aux.loss_seg": 0.15267, "aux.acc_seg": 69.38799, "loss": 0.3383, "time": 0.40233} -{"mode": "train", "epoch": 205, "iter": 129250, "lr": 1e-05, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.1834, "decode.acc_seg": 74.20271, "aux.loss_seg": 0.15174, "aux.acc_seg": 68.83239, "loss": 0.33515, "time": 0.40221} -{"mode": "train", "epoch": 205, "iter": 129300, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.18663, "decode.acc_seg": 75.1179, "aux.loss_seg": 0.16047, "aux.acc_seg": 69.33936, "loss": 0.3471, "time": 0.40295} -{"mode": "train", "epoch": 205, "iter": 129350, "lr": 1e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.18766, "decode.acc_seg": 73.7988, "aux.loss_seg": 0.15302, "aux.acc_seg": 68.48551, "loss": 0.34068, "time": 0.40317} -{"mode": "train", "epoch": 206, "iter": 129400, "lr": 1e-05, "memory": 22018, "data_time": 0.17558, "decode.loss_seg": 0.18491, "decode.acc_seg": 73.90545, "aux.loss_seg": 0.15439, "aux.acc_seg": 68.25796, "loss": 0.3393, "time": 0.5676} -{"mode": "train", "epoch": 206, "iter": 129450, "lr": 1e-05, "memory": 22018, "data_time": 0.00984, "decode.loss_seg": 0.18317, "decode.acc_seg": 74.5941, "aux.loss_seg": 0.14999, "aux.acc_seg": 69.27119, "loss": 0.33316, "time": 0.40232} -{"mode": "train", "epoch": 206, "iter": 129500, "lr": 1e-05, "memory": 22018, "data_time": 0.00995, "decode.loss_seg": 0.1855, "decode.acc_seg": 74.98983, "aux.loss_seg": 0.15341, "aux.acc_seg": 69.52096, "loss": 0.33891, "time": 0.4016} -{"mode": "train", "epoch": 206, "iter": 129550, "lr": 1e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.18737, "decode.acc_seg": 75.19597, "aux.loss_seg": 0.15925, "aux.acc_seg": 69.37534, "loss": 0.34662, "time": 0.40407} -{"mode": "train", "epoch": 206, "iter": 129600, "lr": 1e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.18432, "decode.acc_seg": 74.49811, "aux.loss_seg": 0.15445, "aux.acc_seg": 69.05927, "loss": 0.33877, "time": 0.40432} -{"mode": "train", "epoch": 206, "iter": 129650, "lr": 1e-05, "memory": 22018, "data_time": 0.00965, "decode.loss_seg": 0.17552, "decode.acc_seg": 74.91978, "aux.loss_seg": 0.14808, "aux.acc_seg": 69.49999, "loss": 0.3236, "time": 0.40392} -{"mode": "train", "epoch": 206, "iter": 129700, "lr": 1e-05, "memory": 22018, "data_time": 0.00999, "decode.loss_seg": 0.18589, "decode.acc_seg": 74.4265, "aux.loss_seg": 0.15548, "aux.acc_seg": 68.71997, "loss": 0.34137, "time": 0.40271} -{"mode": "train", "epoch": 206, "iter": 129750, "lr": 1e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.17697, "decode.acc_seg": 74.13127, "aux.loss_seg": 0.14869, "aux.acc_seg": 68.81012, "loss": 0.32566, "time": 0.40191} -{"mode": "train", "epoch": 206, "iter": 129800, "lr": 1e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.18658, "decode.acc_seg": 74.99249, "aux.loss_seg": 0.15584, "aux.acc_seg": 69.3936, "loss": 0.34242, "time": 0.40317} -{"mode": "train", "epoch": 206, "iter": 129850, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.19039, "decode.acc_seg": 73.98388, "aux.loss_seg": 0.15483, "aux.acc_seg": 68.73053, "loss": 0.34523, "time": 0.40536} -{"mode": "train", "epoch": 206, "iter": 129900, "lr": 1e-05, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.18264, "decode.acc_seg": 75.12283, "aux.loss_seg": 0.15844, "aux.acc_seg": 69.13765, "loss": 0.34108, "time": 0.40398} -{"mode": "train", "epoch": 206, "iter": 129950, "lr": 1e-05, "memory": 22018, "data_time": 0.00959, "decode.loss_seg": 0.18885, "decode.acc_seg": 74.73788, "aux.loss_seg": 0.15271, "aux.acc_seg": 69.58878, "loss": 0.34155, "time": 0.40539} -{"mode": "train", "epoch": 207, "iter": 130000, "lr": 1e-05, "memory": 22018, "data_time": 0.17024, "decode.loss_seg": 0.19148, "decode.acc_seg": 74.42918, "aux.loss_seg": 0.15819, "aux.acc_seg": 68.95248, "loss": 0.34967, "time": 0.56542} -{"mode": "train", "epoch": 207, "iter": 130050, "lr": 1e-05, "memory": 22018, "data_time": 0.00695, "decode.loss_seg": 0.18537, "decode.acc_seg": 75.1182, "aux.loss_seg": 0.15785, "aux.acc_seg": 69.32075, "loss": 0.34322, "time": 0.40029} -{"mode": "train", "epoch": 207, "iter": 130100, "lr": 1e-05, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.20023, "decode.acc_seg": 74.7684, "aux.loss_seg": 0.16507, "aux.acc_seg": 68.99915, "loss": 0.3653, "time": 0.40098} -{"mode": "train", "epoch": 207, "iter": 130150, "lr": 1e-05, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.18041, "decode.acc_seg": 73.69014, "aux.loss_seg": 0.14939, "aux.acc_seg": 68.44897, "loss": 0.32981, "time": 0.40089} -{"mode": "train", "epoch": 207, "iter": 130200, "lr": 1e-05, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.18638, "decode.acc_seg": 75.09692, "aux.loss_seg": 0.15642, "aux.acc_seg": 69.44875, "loss": 0.3428, "time": 0.39959} -{"mode": "train", "epoch": 207, "iter": 130250, "lr": 1e-05, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.18304, "decode.acc_seg": 74.59856, "aux.loss_seg": 0.152, "aux.acc_seg": 69.09774, "loss": 0.33504, "time": 0.4003} -{"mode": "train", "epoch": 207, "iter": 130300, "lr": 1e-05, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.18768, "decode.acc_seg": 75.03401, "aux.loss_seg": 0.15828, "aux.acc_seg": 69.43491, "loss": 0.34596, "time": 0.40067} -{"mode": "train", "epoch": 207, "iter": 130350, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18348, "decode.acc_seg": 74.58695, "aux.loss_seg": 0.1527, "aux.acc_seg": 69.23467, "loss": 0.33617, "time": 0.4024} -{"mode": "train", "epoch": 207, "iter": 130400, "lr": 1e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.18715, "decode.acc_seg": 73.635, "aux.loss_seg": 0.1548, "aux.acc_seg": 68.09474, "loss": 0.34195, "time": 0.40071} -{"mode": "train", "epoch": 207, "iter": 130450, "lr": 1e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.18005, "decode.acc_seg": 74.95079, "aux.loss_seg": 0.14899, "aux.acc_seg": 69.60935, "loss": 0.32904, "time": 0.40064} -{"mode": "train", "epoch": 207, "iter": 130500, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.18141, "decode.acc_seg": 75.29524, "aux.loss_seg": 0.14898, "aux.acc_seg": 70.09182, "loss": 0.33039, "time": 0.40011} -{"mode": "train", "epoch": 207, "iter": 130550, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18036, "decode.acc_seg": 74.97336, "aux.loss_seg": 0.15436, "aux.acc_seg": 69.49363, "loss": 0.33472, "time": 0.40197} -{"mode": "train", "epoch": 207, "iter": 130600, "lr": 1e-05, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.18262, "decode.acc_seg": 74.5618, "aux.loss_seg": 0.1486, "aux.acc_seg": 69.55436, "loss": 0.33122, "time": 0.40078} -{"mode": "train", "epoch": 208, "iter": 130650, "lr": 1e-05, "memory": 22018, "data_time": 0.18169, "decode.loss_seg": 0.18443, "decode.acc_seg": 74.88473, "aux.loss_seg": 0.15168, "aux.acc_seg": 69.5544, "loss": 0.33612, "time": 0.57624} -{"mode": "train", "epoch": 208, "iter": 130700, "lr": 1e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.18023, "decode.acc_seg": 74.42043, "aux.loss_seg": 0.14926, "aux.acc_seg": 69.12267, "loss": 0.32949, "time": 0.40396} -{"mode": "train", "epoch": 208, "iter": 130750, "lr": 1e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.18713, "decode.acc_seg": 75.32016, "aux.loss_seg": 0.15705, "aux.acc_seg": 69.64063, "loss": 0.34418, "time": 0.40372} -{"mode": "train", "epoch": 208, "iter": 130800, "lr": 1e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.03248, "aux.loss_seg": 0.14885, "aux.acc_seg": 69.69607, "loss": 0.32695, "time": 0.40175} -{"mode": "train", "epoch": 208, "iter": 130850, "lr": 1e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.18364, "decode.acc_seg": 75.35971, "aux.loss_seg": 0.15399, "aux.acc_seg": 69.88079, "loss": 0.33763, "time": 0.40158} -{"mode": "train", "epoch": 208, "iter": 130900, "lr": 1e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.19225, "decode.acc_seg": 74.78169, "aux.loss_seg": 0.1566, "aux.acc_seg": 69.43294, "loss": 0.34885, "time": 0.40292} -{"mode": "train", "epoch": 208, "iter": 130950, "lr": 1e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.18359, "decode.acc_seg": 73.8214, "aux.loss_seg": 0.15249, "aux.acc_seg": 68.35374, "loss": 0.33608, "time": 0.40268} -{"mode": "train", "epoch": 208, "iter": 131000, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.18369, "decode.acc_seg": 74.29647, "aux.loss_seg": 0.15643, "aux.acc_seg": 68.63413, "loss": 0.34012, "time": 0.40279} -{"mode": "train", "epoch": 208, "iter": 131050, "lr": 1e-05, "memory": 22018, "data_time": 0.00948, "decode.loss_seg": 0.1805, "decode.acc_seg": 74.45014, "aux.loss_seg": 0.15167, "aux.acc_seg": 69.01007, "loss": 0.33217, "time": 0.40374} -{"mode": "train", "epoch": 208, "iter": 131100, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.18742, "decode.acc_seg": 74.96197, "aux.loss_seg": 0.15228, "aux.acc_seg": 69.51752, "loss": 0.3397, "time": 0.4017} -{"mode": "train", "epoch": 208, "iter": 131150, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.18034, "decode.acc_seg": 74.79926, "aux.loss_seg": 0.14924, "aux.acc_seg": 69.6293, "loss": 0.32958, "time": 0.40134} -{"mode": "train", "epoch": 208, "iter": 131200, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.18257, "decode.acc_seg": 74.44522, "aux.loss_seg": 0.15059, "aux.acc_seg": 69.15222, "loss": 0.33316, "time": 0.40387} -{"mode": "train", "epoch": 209, "iter": 131250, "lr": 1e-05, "memory": 22018, "data_time": 0.17537, "decode.loss_seg": 0.18344, "decode.acc_seg": 74.50828, "aux.loss_seg": 0.1511, "aux.acc_seg": 69.21778, "loss": 0.33454, "time": 0.56861} -{"mode": "train", "epoch": 209, "iter": 131300, "lr": 1e-05, "memory": 22018, "data_time": 0.00671, "decode.loss_seg": 0.18057, "decode.acc_seg": 75.34728, "aux.loss_seg": 0.15191, "aux.acc_seg": 69.94134, "loss": 0.33248, "time": 0.39871} -{"mode": "train", "epoch": 209, "iter": 131350, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.19139, "decode.acc_seg": 74.73552, "aux.loss_seg": 0.16233, "aux.acc_seg": 68.78597, "loss": 0.35372, "time": 0.40092} -{"mode": "train", "epoch": 209, "iter": 131400, "lr": 1e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.18568, "decode.acc_seg": 73.81805, "aux.loss_seg": 0.15106, "aux.acc_seg": 68.65393, "loss": 0.33674, "time": 0.40027} -{"mode": "train", "epoch": 209, "iter": 131450, "lr": 1e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.17624, "decode.acc_seg": 74.33115, "aux.loss_seg": 0.15541, "aux.acc_seg": 68.63222, "loss": 0.33165, "time": 0.39957} -{"mode": "train", "epoch": 209, "iter": 131500, "lr": 1e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.18654, "decode.acc_seg": 74.26414, "aux.loss_seg": 0.15703, "aux.acc_seg": 68.56126, "loss": 0.34357, "time": 0.40078} -{"mode": "train", "epoch": 209, "iter": 131550, "lr": 1e-05, "memory": 22018, "data_time": 0.00762, "decode.loss_seg": 0.18925, "decode.acc_seg": 74.29077, "aux.loss_seg": 0.15347, "aux.acc_seg": 68.93923, "loss": 0.34271, "time": 0.40093} -{"mode": "train", "epoch": 209, "iter": 131600, "lr": 1e-05, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.18783, "decode.acc_seg": 74.15751, "aux.loss_seg": 0.15317, "aux.acc_seg": 68.79843, "loss": 0.34099, "time": 0.40019} -{"mode": "train", "epoch": 209, "iter": 131650, "lr": 1e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.18521, "decode.acc_seg": 75.57979, "aux.loss_seg": 0.15335, "aux.acc_seg": 70.25665, "loss": 0.33856, "time": 0.40032} -{"mode": "train", "epoch": 209, "iter": 131700, "lr": 1e-05, "memory": 22018, "data_time": 0.00746, "decode.loss_seg": 0.18516, "decode.acc_seg": 73.60339, "aux.loss_seg": 0.15114, "aux.acc_seg": 68.32978, "loss": 0.33629, "time": 0.39914} -{"mode": "train", "epoch": 209, "iter": 131750, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.18238, "decode.acc_seg": 74.44225, "aux.loss_seg": 0.15628, "aux.acc_seg": 68.62559, "loss": 0.33866, "time": 0.4004} -{"mode": "train", "epoch": 209, "iter": 131800, "lr": 1e-05, "memory": 22018, "data_time": 0.00739, "decode.loss_seg": 0.17912, "decode.acc_seg": 74.55515, "aux.loss_seg": 0.14633, "aux.acc_seg": 69.47543, "loss": 0.32544, "time": 0.3996} -{"mode": "train", "epoch": 209, "iter": 131850, "lr": 1e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.18415, "decode.acc_seg": 74.7698, "aux.loss_seg": 0.15398, "aux.acc_seg": 69.30998, "loss": 0.33813, "time": 0.39936} -{"mode": "train", "epoch": 210, "iter": 131900, "lr": 1e-05, "memory": 22018, "data_time": 0.18247, "decode.loss_seg": 0.18283, "decode.acc_seg": 75.04935, "aux.loss_seg": 0.15534, "aux.acc_seg": 69.50211, "loss": 0.33818, "time": 0.57518} -{"mode": "train", "epoch": 210, "iter": 131950, "lr": 1e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.19107, "decode.acc_seg": 74.38495, "aux.loss_seg": 0.15719, "aux.acc_seg": 68.8746, "loss": 0.34826, "time": 0.40159} -{"mode": "train", "epoch": 210, "iter": 132000, "lr": 1e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.17982, "decode.acc_seg": 74.41586, "aux.loss_seg": 0.15006, "aux.acc_seg": 69.14961, "loss": 0.32988, "time": 0.40192} -{"mode": "train", "epoch": 210, "iter": 132050, "lr": 1e-05, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.1805, "decode.acc_seg": 75.0706, "aux.loss_seg": 0.15228, "aux.acc_seg": 69.43404, "loss": 0.33279, "time": 0.40212} -{"mode": "train", "epoch": 210, "iter": 132100, "lr": 1e-05, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.18323, "decode.acc_seg": 75.14925, "aux.loss_seg": 0.15734, "aux.acc_seg": 69.26517, "loss": 0.34057, "time": 0.40297} -{"mode": "train", "epoch": 210, "iter": 132150, "lr": 1e-05, "memory": 22018, "data_time": 0.00919, "decode.loss_seg": 0.18864, "decode.acc_seg": 74.28638, "aux.loss_seg": 0.15332, "aux.acc_seg": 68.99995, "loss": 0.34196, "time": 0.40353} -{"mode": "train", "epoch": 210, "iter": 132200, "lr": 1e-05, "memory": 22018, "data_time": 0.00957, "decode.loss_seg": 0.18402, "decode.acc_seg": 74.61259, "aux.loss_seg": 0.15397, "aux.acc_seg": 69.03936, "loss": 0.33799, "time": 0.40266} -{"mode": "train", "epoch": 210, "iter": 132250, "lr": 1e-05, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.18128, "decode.acc_seg": 75.18264, "aux.loss_seg": 0.15391, "aux.acc_seg": 69.53211, "loss": 0.33519, "time": 0.40167} -{"mode": "train", "epoch": 210, "iter": 132300, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.17933, "decode.acc_seg": 74.88755, "aux.loss_seg": 0.1513, "aux.acc_seg": 69.53358, "loss": 0.33063, "time": 0.40393} -{"mode": "train", "epoch": 210, "iter": 132350, "lr": 1e-05, "memory": 22018, "data_time": 0.01025, "decode.loss_seg": 0.18023, "decode.acc_seg": 74.22297, "aux.loss_seg": 0.15393, "aux.acc_seg": 68.62503, "loss": 0.33416, "time": 0.404} -{"mode": "train", "epoch": 210, "iter": 132400, "lr": 1e-05, "memory": 22018, "data_time": 0.00981, "decode.loss_seg": 0.18099, "decode.acc_seg": 74.28901, "aux.loss_seg": 0.15325, "aux.acc_seg": 68.78546, "loss": 0.33424, "time": 0.40377} -{"mode": "train", "epoch": 210, "iter": 132450, "lr": 1e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.17842, "decode.acc_seg": 74.47817, "aux.loss_seg": 0.15223, "aux.acc_seg": 68.95449, "loss": 0.33065, "time": 0.40359} -{"mode": "train", "epoch": 210, "iter": 132500, "lr": 1e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.13873, "aux.loss_seg": 0.15593, "aux.acc_seg": 68.69188, "loss": 0.34253, "time": 0.4035} -{"mode": "train", "epoch": 211, "iter": 132550, "lr": 1e-05, "memory": 22018, "data_time": 0.18079, "decode.loss_seg": 0.1814, "decode.acc_seg": 74.58825, "aux.loss_seg": 0.14983, "aux.acc_seg": 69.32434, "loss": 0.33123, "time": 0.5746} -{"mode": "train", "epoch": 211, "iter": 132600, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.18413, "decode.acc_seg": 74.25066, "aux.loss_seg": 0.15261, "aux.acc_seg": 68.80539, "loss": 0.33674, "time": 0.40337} -{"mode": "train", "epoch": 211, "iter": 132650, "lr": 1e-05, "memory": 22018, "data_time": 0.00998, "decode.loss_seg": 0.18221, "decode.acc_seg": 74.33523, "aux.loss_seg": 0.14924, "aux.acc_seg": 69.18308, "loss": 0.33145, "time": 0.40311} -{"mode": "train", "epoch": 211, "iter": 132700, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.18761, "decode.acc_seg": 74.97079, "aux.loss_seg": 0.15574, "aux.acc_seg": 69.51708, "loss": 0.34336, "time": 0.40181} -{"mode": "train", "epoch": 211, "iter": 132750, "lr": 1e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.17853, "decode.acc_seg": 75.02002, "aux.loss_seg": 0.15475, "aux.acc_seg": 69.30899, "loss": 0.33328, "time": 0.40131} -{"mode": "train", "epoch": 211, "iter": 132800, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.18433, "decode.acc_seg": 74.12064, "aux.loss_seg": 0.15551, "aux.acc_seg": 68.60945, "loss": 0.33984, "time": 0.40373} -{"mode": "train", "epoch": 211, "iter": 132850, "lr": 1e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17505, "decode.acc_seg": 74.72989, "aux.loss_seg": 0.14838, "aux.acc_seg": 69.33943, "loss": 0.32343, "time": 0.40203} -{"mode": "train", "epoch": 211, "iter": 132900, "lr": 1e-05, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.18141, "decode.acc_seg": 74.25764, "aux.loss_seg": 0.15519, "aux.acc_seg": 68.56233, "loss": 0.3366, "time": 0.40262} -{"mode": "train", "epoch": 211, "iter": 132950, "lr": 1e-05, "memory": 22018, "data_time": 0.00889, "decode.loss_seg": 0.19133, "decode.acc_seg": 74.78303, "aux.loss_seg": 0.15635, "aux.acc_seg": 69.17446, "loss": 0.34768, "time": 0.40178} -{"mode": "train", "epoch": 211, "iter": 133000, "lr": 1e-05, "memory": 22018, "data_time": 0.00859, "decode.loss_seg": 0.1864, "decode.acc_seg": 75.02813, "aux.loss_seg": 0.15368, "aux.acc_seg": 69.56428, "loss": 0.34008, "time": 0.40119} -{"mode": "train", "epoch": 211, "iter": 133050, "lr": 1e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.18023, "decode.acc_seg": 74.872, "aux.loss_seg": 0.14815, "aux.acc_seg": 69.68281, "loss": 0.32838, "time": 0.40065} -{"mode": "train", "epoch": 211, "iter": 133100, "lr": 1e-05, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.18187, "decode.acc_seg": 75.06758, "aux.loss_seg": 0.15441, "aux.acc_seg": 69.51512, "loss": 0.33628, "time": 0.40182} -{"mode": "train", "epoch": 212, "iter": 133150, "lr": 1e-05, "memory": 22018, "data_time": 0.17168, "decode.loss_seg": 0.18156, "decode.acc_seg": 74.38607, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.14941, "loss": 0.33098, "time": 0.56494} -{"mode": "train", "epoch": 212, "iter": 133200, "lr": 1e-05, "memory": 22018, "data_time": 0.00917, "decode.loss_seg": 0.18084, "decode.acc_seg": 74.57214, "aux.loss_seg": 0.14941, "aux.acc_seg": 69.28996, "loss": 0.33025, "time": 0.40133} -{"mode": "train", "epoch": 212, "iter": 133250, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.17873, "decode.acc_seg": 73.8217, "aux.loss_seg": 0.1509, "aux.acc_seg": 68.56575, "loss": 0.32962, "time": 0.40234} -{"mode": "train", "epoch": 212, "iter": 133300, "lr": 1e-05, "memory": 22018, "data_time": 0.00987, "decode.loss_seg": 0.19013, "decode.acc_seg": 74.2714, "aux.loss_seg": 0.1567, "aux.acc_seg": 68.7808, "loss": 0.34683, "time": 0.40437} -{"mode": "train", "epoch": 212, "iter": 133350, "lr": 1e-05, "memory": 22018, "data_time": 0.00951, "decode.loss_seg": 0.18449, "decode.acc_seg": 74.48656, "aux.loss_seg": 0.1514, "aux.acc_seg": 69.17265, "loss": 0.33589, "time": 0.40392} -{"mode": "train", "epoch": 212, "iter": 133400, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.18337, "decode.acc_seg": 74.71449, "aux.loss_seg": 0.1528, "aux.acc_seg": 69.35993, "loss": 0.33617, "time": 0.40488} -{"mode": "train", "epoch": 212, "iter": 133450, "lr": 1e-05, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.18593, "decode.acc_seg": 74.31598, "aux.loss_seg": 0.15134, "aux.acc_seg": 69.07685, "loss": 0.33726, "time": 0.40329} -{"mode": "train", "epoch": 212, "iter": 133500, "lr": 1e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.18398, "decode.acc_seg": 74.9409, "aux.loss_seg": 0.15421, "aux.acc_seg": 69.32245, "loss": 0.33819, "time": 0.404} -{"mode": "train", "epoch": 212, "iter": 133550, "lr": 1e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.1874, "decode.acc_seg": 75.01287, "aux.loss_seg": 0.15474, "aux.acc_seg": 69.46843, "loss": 0.34214, "time": 0.40171} -{"mode": "train", "epoch": 212, "iter": 133600, "lr": 1e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.17595, "decode.acc_seg": 74.31255, "aux.loss_seg": 0.14763, "aux.acc_seg": 69.04582, "loss": 0.32358, "time": 0.40346} -{"mode": "train", "epoch": 212, "iter": 133650, "lr": 1e-05, "memory": 22018, "data_time": 0.00895, "decode.loss_seg": 0.18141, "decode.acc_seg": 75.41966, "aux.loss_seg": 0.14931, "aux.acc_seg": 70.17294, "loss": 0.33072, "time": 0.40345} -{"mode": "train", "epoch": 212, "iter": 133700, "lr": 1e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.19473, "decode.acc_seg": 74.50225, "aux.loss_seg": 0.16172, "aux.acc_seg": 68.79767, "loss": 0.35645, "time": 0.40182} -{"mode": "train", "epoch": 212, "iter": 133750, "lr": 1e-05, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.17834, "decode.acc_seg": 74.73642, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.15573, "loss": 0.32987, "time": 0.40349} -{"mode": "train", "epoch": 213, "iter": 133800, "lr": 1e-05, "memory": 22018, "data_time": 0.17748, "decode.loss_seg": 0.18215, "decode.acc_seg": 74.19071, "aux.loss_seg": 0.15231, "aux.acc_seg": 68.68869, "loss": 0.33447, "time": 0.57153} -{"mode": "train", "epoch": 213, "iter": 133850, "lr": 1e-05, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.17978, "decode.acc_seg": 74.96857, "aux.loss_seg": 0.14955, "aux.acc_seg": 69.7155, "loss": 0.32933, "time": 0.40083} -{"mode": "train", "epoch": 213, "iter": 133900, "lr": 1e-05, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.18408, "decode.acc_seg": 75.24079, "aux.loss_seg": 0.15242, "aux.acc_seg": 69.83679, "loss": 0.3365, "time": 0.40187} -{"mode": "train", "epoch": 213, "iter": 133950, "lr": 1e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.1779, "decode.acc_seg": 74.55979, "aux.loss_seg": 0.14834, "aux.acc_seg": 69.08782, "loss": 0.32624, "time": 0.4018} -{"mode": "train", "epoch": 213, "iter": 134000, "lr": 1e-05, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.18519, "decode.acc_seg": 74.67408, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.16431, "loss": 0.3389, "time": 0.40072} -{"mode": "train", "epoch": 213, "iter": 134050, "lr": 1e-05, "memory": 22018, "data_time": 0.00775, "decode.loss_seg": 0.1798, "decode.acc_seg": 74.8483, "aux.loss_seg": 0.14789, "aux.acc_seg": 69.61566, "loss": 0.32768, "time": 0.40093} -{"mode": "train", "epoch": 213, "iter": 134100, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.18, "decode.acc_seg": 74.80795, "aux.loss_seg": 0.15322, "aux.acc_seg": 69.32621, "loss": 0.33322, "time": 0.40192} -{"mode": "train", "epoch": 213, "iter": 134150, "lr": 1e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.18299, "decode.acc_seg": 74.7717, "aux.loss_seg": 0.1553, "aux.acc_seg": 69.15564, "loss": 0.33828, "time": 0.40405} -{"mode": "train", "epoch": 213, "iter": 134200, "lr": 1e-05, "memory": 22018, "data_time": 0.00768, "decode.loss_seg": 0.17543, "decode.acc_seg": 74.10791, "aux.loss_seg": 0.15207, "aux.acc_seg": 68.57304, "loss": 0.32749, "time": 0.40404} -{"mode": "train", "epoch": 213, "iter": 134250, "lr": 1e-05, "memory": 22018, "data_time": 0.00784, "decode.loss_seg": 0.18436, "decode.acc_seg": 74.83327, "aux.loss_seg": 0.15463, "aux.acc_seg": 69.29839, "loss": 0.33899, "time": 0.40328} -{"mode": "train", "epoch": 213, "iter": 134300, "lr": 1e-05, "memory": 22018, "data_time": 0.00711, "decode.loss_seg": 0.18369, "decode.acc_seg": 75.46564, "aux.loss_seg": 0.15553, "aux.acc_seg": 69.86585, "loss": 0.33922, "time": 0.40125} -{"mode": "train", "epoch": 213, "iter": 134350, "lr": 1e-05, "memory": 22018, "data_time": 0.00733, "decode.loss_seg": 0.18284, "decode.acc_seg": 73.5167, "aux.loss_seg": 0.15069, "aux.acc_seg": 68.01714, "loss": 0.33353, "time": 0.40191} -{"mode": "train", "epoch": 213, "iter": 134400, "lr": 1e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.18139, "decode.acc_seg": 75.57818, "aux.loss_seg": 0.15341, "aux.acc_seg": 69.86252, "loss": 0.33481, "time": 0.40006} -{"mode": "train", "epoch": 214, "iter": 134450, "lr": 1e-05, "memory": 22018, "data_time": 0.17938, "decode.loss_seg": 0.18711, "decode.acc_seg": 75.62295, "aux.loss_seg": 0.15516, "aux.acc_seg": 70.19014, "loss": 0.34227, "time": 0.57156} -{"mode": "train", "epoch": 214, "iter": 134500, "lr": 1e-05, "memory": 22018, "data_time": 0.00923, "decode.loss_seg": 0.18817, "decode.acc_seg": 74.43955, "aux.loss_seg": 0.15276, "aux.acc_seg": 69.09876, "loss": 0.34093, "time": 0.40113} -{"mode": "train", "epoch": 214, "iter": 134550, "lr": 1e-05, "memory": 22018, "data_time": 0.00954, "decode.loss_seg": 0.18382, "decode.acc_seg": 73.21817, "aux.loss_seg": 0.15526, "aux.acc_seg": 67.53114, "loss": 0.33908, "time": 0.40239} -{"mode": "train", "epoch": 214, "iter": 134600, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.18176, "decode.acc_seg": 74.1232, "aux.loss_seg": 0.15094, "aux.acc_seg": 68.65714, "loss": 0.3327, "time": 0.40403} -{"mode": "train", "epoch": 214, "iter": 134650, "lr": 1e-05, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.18778, "decode.acc_seg": 73.8502, "aux.loss_seg": 0.15877, "aux.acc_seg": 68.0062, "loss": 0.34656, "time": 0.4033} -{"mode": "train", "epoch": 214, "iter": 134700, "lr": 1e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.18125, "decode.acc_seg": 74.28169, "aux.loss_seg": 0.15332, "aux.acc_seg": 68.72616, "loss": 0.33458, "time": 0.40379} -{"mode": "train", "epoch": 214, "iter": 134750, "lr": 1e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.18024, "decode.acc_seg": 75.33616, "aux.loss_seg": 0.14866, "aux.acc_seg": 70.048, "loss": 0.3289, "time": 0.40371} -{"mode": "train", "epoch": 214, "iter": 134800, "lr": 1e-05, "memory": 22018, "data_time": 0.00864, "decode.loss_seg": 0.18267, "decode.acc_seg": 74.58417, "aux.loss_seg": 0.15278, "aux.acc_seg": 69.19091, "loss": 0.33545, "time": 0.40247} -{"mode": "train", "epoch": 214, "iter": 134850, "lr": 1e-05, "memory": 22018, "data_time": 0.00869, "decode.loss_seg": 0.18499, "decode.acc_seg": 74.64885, "aux.loss_seg": 0.15786, "aux.acc_seg": 68.85365, "loss": 0.34286, "time": 0.40303} -{"mode": "train", "epoch": 214, "iter": 134900, "lr": 1e-05, "memory": 22018, "data_time": 0.00845, "decode.loss_seg": 0.18158, "decode.acc_seg": 75.43369, "aux.loss_seg": 0.15359, "aux.acc_seg": 69.71839, "loss": 0.33518, "time": 0.40052} -{"mode": "train", "epoch": 214, "iter": 134950, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.18779, "decode.acc_seg": 75.10426, "aux.loss_seg": 0.15888, "aux.acc_seg": 69.33265, "loss": 0.34667, "time": 0.40404} -{"mode": "train", "epoch": 214, "iter": 135000, "lr": 1e-05, "memory": 22018, "data_time": 0.00926, "decode.loss_seg": 0.17881, "decode.acc_seg": 74.67186, "aux.loss_seg": 0.15251, "aux.acc_seg": 69.15359, "loss": 0.33132, "time": 0.40334} -{"mode": "train", "epoch": 215, "iter": 135050, "lr": 1e-05, "memory": 22018, "data_time": 0.17814, "decode.loss_seg": 0.18802, "decode.acc_seg": 74.93873, "aux.loss_seg": 0.15513, "aux.acc_seg": 69.48819, "loss": 0.34316, "time": 0.57172} -{"mode": "train", "epoch": 215, "iter": 135100, "lr": 1e-05, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17497, "decode.acc_seg": 74.65843, "aux.loss_seg": 0.14612, "aux.acc_seg": 69.49643, "loss": 0.32109, "time": 0.3998} -{"mode": "train", "epoch": 215, "iter": 135150, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.17869, "decode.acc_seg": 75.1405, "aux.loss_seg": 0.15624, "aux.acc_seg": 69.48353, "loss": 0.33493, "time": 0.40096} -{"mode": "train", "epoch": 215, "iter": 135200, "lr": 1e-05, "memory": 22018, "data_time": 0.00832, "decode.loss_seg": 0.179, "decode.acc_seg": 74.565, "aux.loss_seg": 0.14889, "aux.acc_seg": 69.35982, "loss": 0.3279, "time": 0.401} -{"mode": "train", "epoch": 215, "iter": 135250, "lr": 1e-05, "memory": 22018, "data_time": 0.00814, "decode.loss_seg": 0.17824, "decode.acc_seg": 74.27399, "aux.loss_seg": 0.14915, "aux.acc_seg": 68.92679, "loss": 0.32739, "time": 0.40279} -{"mode": "train", "epoch": 215, "iter": 135300, "lr": 1e-05, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.18856, "decode.acc_seg": 74.99694, "aux.loss_seg": 0.15561, "aux.acc_seg": 69.63535, "loss": 0.34417, "time": 0.40053} -{"mode": "train", "epoch": 215, "iter": 135350, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.1857, "decode.acc_seg": 74.67389, "aux.loss_seg": 0.15564, "aux.acc_seg": 69.11202, "loss": 0.34133, "time": 0.40128} -{"mode": "train", "epoch": 215, "iter": 135400, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.18109, "decode.acc_seg": 74.1223, "aux.loss_seg": 0.15173, "aux.acc_seg": 68.76241, "loss": 0.33282, "time": 0.4001} -{"mode": "train", "epoch": 215, "iter": 135450, "lr": 1e-05, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.18155, "decode.acc_seg": 74.21445, "aux.loss_seg": 0.14928, "aux.acc_seg": 68.93729, "loss": 0.33083, "time": 0.40242} -{"mode": "train", "epoch": 215, "iter": 135500, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.18385, "decode.acc_seg": 74.79807, "aux.loss_seg": 0.1565, "aux.acc_seg": 69.04066, "loss": 0.34036, "time": 0.40147} -{"mode": "train", "epoch": 215, "iter": 135550, "lr": 1e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.18679, "decode.acc_seg": 74.36099, "aux.loss_seg": 0.15574, "aux.acc_seg": 68.82224, "loss": 0.34253, "time": 0.40089} -{"mode": "train", "epoch": 215, "iter": 135600, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.18292, "decode.acc_seg": 74.9355, "aux.loss_seg": 0.15235, "aux.acc_seg": 69.53589, "loss": 0.33527, "time": 0.40087} -{"mode": "train", "epoch": 215, "iter": 135650, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18797, "decode.acc_seg": 74.60634, "aux.loss_seg": 0.15413, "aux.acc_seg": 69.10536, "loss": 0.3421, "time": 0.40199} -{"mode": "train", "epoch": 216, "iter": 135700, "lr": 1e-05, "memory": 22018, "data_time": 0.17057, "decode.loss_seg": 0.1774, "decode.acc_seg": 75.37229, "aux.loss_seg": 0.15202, "aux.acc_seg": 69.78909, "loss": 0.32943, "time": 0.5633} -{"mode": "train", "epoch": 216, "iter": 135750, "lr": 1e-05, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.17749, "decode.acc_seg": 74.42785, "aux.loss_seg": 0.14939, "aux.acc_seg": 69.08409, "loss": 0.32688, "time": 0.39969} -{"mode": "train", "epoch": 216, "iter": 135800, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.17964, "decode.acc_seg": 74.16488, "aux.loss_seg": 0.14926, "aux.acc_seg": 68.91698, "loss": 0.32889, "time": 0.39961} -{"mode": "train", "epoch": 216, "iter": 135850, "lr": 1e-05, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.18706, "decode.acc_seg": 75.80844, "aux.loss_seg": 0.15573, "aux.acc_seg": 70.33591, "loss": 0.34278, "time": 0.40094} -{"mode": "train", "epoch": 216, "iter": 135900, "lr": 1e-05, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.17636, "decode.acc_seg": 73.65414, "aux.loss_seg": 0.14716, "aux.acc_seg": 68.29208, "loss": 0.32352, "time": 0.39977} -{"mode": "train", "epoch": 216, "iter": 135950, "lr": 1e-05, "memory": 22018, "data_time": 0.00754, "decode.loss_seg": 0.18, "decode.acc_seg": 75.42276, "aux.loss_seg": 0.14978, "aux.acc_seg": 70.17321, "loss": 0.32978, "time": 0.40016} -{"mode": "train", "epoch": 216, "iter": 136000, "lr": 1e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.18397, "decode.acc_seg": 74.46315, "aux.loss_seg": 0.15879, "aux.acc_seg": 68.66419, "loss": 0.34276, "time": 0.39986} -{"mode": "train", "epoch": 216, "iter": 136050, "lr": 1e-05, "memory": 22018, "data_time": 0.00773, "decode.loss_seg": 0.179, "decode.acc_seg": 75.38533, "aux.loss_seg": 0.15302, "aux.acc_seg": 69.87228, "loss": 0.33202, "time": 0.40018} -{"mode": "train", "epoch": 216, "iter": 136100, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18512, "decode.acc_seg": 74.29772, "aux.loss_seg": 0.15345, "aux.acc_seg": 68.88406, "loss": 0.33857, "time": 0.4005} -{"mode": "train", "epoch": 216, "iter": 136150, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.17554, "decode.acc_seg": 74.05692, "aux.loss_seg": 0.14882, "aux.acc_seg": 68.6785, "loss": 0.32436, "time": 0.39954} -{"mode": "train", "epoch": 216, "iter": 136200, "lr": 1e-05, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.18171, "decode.acc_seg": 74.60408, "aux.loss_seg": 0.15301, "aux.acc_seg": 69.14389, "loss": 0.33472, "time": 0.399} -{"mode": "train", "epoch": 216, "iter": 136250, "lr": 1e-05, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.17846, "decode.acc_seg": 74.37415, "aux.loss_seg": 0.1527, "aux.acc_seg": 68.7901, "loss": 0.33117, "time": 0.39997} -{"mode": "train", "epoch": 217, "iter": 136300, "lr": 1e-05, "memory": 22018, "data_time": 0.17274, "decode.loss_seg": 0.18286, "decode.acc_seg": 74.25637, "aux.loss_seg": 0.15405, "aux.acc_seg": 68.72444, "loss": 0.33691, "time": 0.5652} -{"mode": "train", "epoch": 217, "iter": 136350, "lr": 1e-05, "memory": 22018, "data_time": 0.00687, "decode.loss_seg": 0.18317, "decode.acc_seg": 74.28572, "aux.loss_seg": 0.15046, "aux.acc_seg": 68.98562, "loss": 0.33363, "time": 0.40095} -{"mode": "train", "epoch": 217, "iter": 136400, "lr": 1e-05, "memory": 22018, "data_time": 0.00659, "decode.loss_seg": 0.18665, "decode.acc_seg": 75.14054, "aux.loss_seg": 0.15362, "aux.acc_seg": 69.8441, "loss": 0.34027, "time": 0.39912} -{"mode": "train", "epoch": 217, "iter": 136450, "lr": 1e-05, "memory": 22018, "data_time": 0.00658, "decode.loss_seg": 0.18375, "decode.acc_seg": 75.04972, "aux.loss_seg": 0.1483, "aux.acc_seg": 70.03925, "loss": 0.33205, "time": 0.39889} -{"mode": "train", "epoch": 217, "iter": 136500, "lr": 1e-05, "memory": 22018, "data_time": 0.00695, "decode.loss_seg": 0.17843, "decode.acc_seg": 73.9827, "aux.loss_seg": 0.15437, "aux.acc_seg": 68.31226, "loss": 0.3328, "time": 0.39997} -{"mode": "train", "epoch": 217, "iter": 136550, "lr": 1e-05, "memory": 22018, "data_time": 0.00674, "decode.loss_seg": 0.18221, "decode.acc_seg": 74.93334, "aux.loss_seg": 0.15206, "aux.acc_seg": 69.55579, "loss": 0.33428, "time": 0.40018} -{"mode": "train", "epoch": 217, "iter": 136600, "lr": 1e-05, "memory": 22018, "data_time": 0.00653, "decode.loss_seg": 0.17963, "decode.acc_seg": 73.81076, "aux.loss_seg": 0.15264, "aux.acc_seg": 68.24122, "loss": 0.33227, "time": 0.39945} -{"mode": "train", "epoch": 217, "iter": 136650, "lr": 1e-05, "memory": 22018, "data_time": 0.00655, "decode.loss_seg": 0.17629, "decode.acc_seg": 75.37671, "aux.loss_seg": 0.14788, "aux.acc_seg": 70.06699, "loss": 0.32417, "time": 0.40036} -{"mode": "train", "epoch": 217, "iter": 136700, "lr": 1e-05, "memory": 22018, "data_time": 0.00658, "decode.loss_seg": 0.18101, "decode.acc_seg": 75.62129, "aux.loss_seg": 0.15154, "aux.acc_seg": 70.25695, "loss": 0.33255, "time": 0.39934} -{"mode": "train", "epoch": 217, "iter": 136750, "lr": 1e-05, "memory": 22018, "data_time": 0.00611, "decode.loss_seg": 0.18432, "decode.acc_seg": 74.96076, "aux.loss_seg": 0.15423, "aux.acc_seg": 69.54573, "loss": 0.33856, "time": 0.39953} -{"mode": "train", "epoch": 217, "iter": 136800, "lr": 1e-05, "memory": 22018, "data_time": 0.0068, "decode.loss_seg": 0.18367, "decode.acc_seg": 75.42104, "aux.loss_seg": 0.15484, "aux.acc_seg": 69.73804, "loss": 0.33851, "time": 0.39997} -{"mode": "train", "epoch": 217, "iter": 136850, "lr": 1e-05, "memory": 22018, "data_time": 0.00668, "decode.loss_seg": 0.18083, "decode.acc_seg": 74.97758, "aux.loss_seg": 0.15231, "aux.acc_seg": 69.30834, "loss": 0.33314, "time": 0.40019} -{"mode": "train", "epoch": 217, "iter": 136900, "lr": 1e-05, "memory": 22018, "data_time": 0.00622, "decode.loss_seg": 0.1758, "decode.acc_seg": 75.03403, "aux.loss_seg": 0.15097, "aux.acc_seg": 69.36296, "loss": 0.32677, "time": 0.39829} -{"mode": "train", "epoch": 218, "iter": 136950, "lr": 1e-05, "memory": 22018, "data_time": 0.17819, "decode.loss_seg": 0.17499, "decode.acc_seg": 74.93967, "aux.loss_seg": 0.15051, "aux.acc_seg": 69.32358, "loss": 0.32551, "time": 0.57131} -{"mode": "train", "epoch": 218, "iter": 137000, "lr": 1e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.17931, "decode.acc_seg": 74.49465, "aux.loss_seg": 0.15145, "aux.acc_seg": 69.04197, "loss": 0.33076, "time": 0.40143} -{"mode": "train", "epoch": 218, "iter": 137050, "lr": 1e-05, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.18578, "decode.acc_seg": 74.89019, "aux.loss_seg": 0.15543, "aux.acc_seg": 69.40652, "loss": 0.34121, "time": 0.40147} -{"mode": "train", "epoch": 218, "iter": 137100, "lr": 1e-05, "memory": 22018, "data_time": 0.00922, "decode.loss_seg": 0.18574, "decode.acc_seg": 75.09769, "aux.loss_seg": 0.15631, "aux.acc_seg": 69.38166, "loss": 0.34205, "time": 0.40342} -{"mode": "train", "epoch": 218, "iter": 137150, "lr": 1e-05, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.18048, "decode.acc_seg": 74.75262, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.33308, "loss": 0.33162, "time": 0.40217} -{"mode": "train", "epoch": 218, "iter": 137200, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.17829, "decode.acc_seg": 75.1991, "aux.loss_seg": 0.15257, "aux.acc_seg": 69.58833, "loss": 0.33086, "time": 0.40157} -{"mode": "train", "epoch": 218, "iter": 137250, "lr": 1e-05, "memory": 22018, "data_time": 0.00925, "decode.loss_seg": 0.17801, "decode.acc_seg": 73.97695, "aux.loss_seg": 0.15362, "aux.acc_seg": 68.33636, "loss": 0.33163, "time": 0.40366} -{"mode": "train", "epoch": 218, "iter": 137300, "lr": 1e-05, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.1785, "decode.acc_seg": 74.74327, "aux.loss_seg": 0.15043, "aux.acc_seg": 69.3184, "loss": 0.32892, "time": 0.40215} -{"mode": "train", "epoch": 218, "iter": 137350, "lr": 1e-05, "memory": 22018, "data_time": 0.00955, "decode.loss_seg": 0.17818, "decode.acc_seg": 75.2708, "aux.loss_seg": 0.15172, "aux.acc_seg": 69.85998, "loss": 0.3299, "time": 0.40264} -{"mode": "train", "epoch": 218, "iter": 137400, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.18002, "decode.acc_seg": 75.09522, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.63353, "loss": 0.33182, "time": 0.40195} -{"mode": "train", "epoch": 218, "iter": 137450, "lr": 1e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.18731, "decode.acc_seg": 74.49971, "aux.loss_seg": 0.15426, "aux.acc_seg": 69.23922, "loss": 0.34157, "time": 0.40269} -{"mode": "train", "epoch": 218, "iter": 137500, "lr": 1e-05, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.17535, "decode.acc_seg": 74.38702, "aux.loss_seg": 0.14843, "aux.acc_seg": 69.0691, "loss": 0.32378, "time": 0.40174} -{"mode": "train", "epoch": 218, "iter": 137550, "lr": 1e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.18315, "decode.acc_seg": 74.63648, "aux.loss_seg": 0.15346, "aux.acc_seg": 69.13941, "loss": 0.33661, "time": 0.40283} -{"mode": "train", "epoch": 219, "iter": 137600, "lr": 1e-05, "memory": 22018, "data_time": 0.17351, "decode.loss_seg": 0.17894, "decode.acc_seg": 75.44093, "aux.loss_seg": 0.14918, "aux.acc_seg": 70.01987, "loss": 0.32812, "time": 0.56653} -{"mode": "train", "epoch": 219, "iter": 137650, "lr": 1e-05, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.17825, "decode.acc_seg": 73.65929, "aux.loss_seg": 0.14406, "aux.acc_seg": 68.71917, "loss": 0.32231, "time": 0.39996} -{"mode": "train", "epoch": 219, "iter": 137700, "lr": 1e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.18253, "decode.acc_seg": 75.06156, "aux.loss_seg": 0.15027, "aux.acc_seg": 69.77296, "loss": 0.3328, "time": 0.40038} -{"mode": "train", "epoch": 219, "iter": 137750, "lr": 1e-05, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.17989, "decode.acc_seg": 74.86382, "aux.loss_seg": 0.15166, "aux.acc_seg": 69.49712, "loss": 0.33155, "time": 0.40148} -{"mode": "train", "epoch": 219, "iter": 137800, "lr": 1e-05, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.18224, "decode.acc_seg": 74.41608, "aux.loss_seg": 0.15611, "aux.acc_seg": 68.67609, "loss": 0.33835, "time": 0.40133} -{"mode": "train", "epoch": 219, "iter": 137850, "lr": 1e-05, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.18378, "decode.acc_seg": 74.42944, "aux.loss_seg": 0.15377, "aux.acc_seg": 68.85561, "loss": 0.33755, "time": 0.39961} -{"mode": "train", "epoch": 219, "iter": 137900, "lr": 1e-05, "memory": 22018, "data_time": 0.00824, "decode.loss_seg": 0.18024, "decode.acc_seg": 74.79132, "aux.loss_seg": 0.15195, "aux.acc_seg": 69.32961, "loss": 0.33219, "time": 0.40031} -{"mode": "train", "epoch": 219, "iter": 137950, "lr": 1e-05, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.1743, "decode.acc_seg": 74.41429, "aux.loss_seg": 0.14724, "aux.acc_seg": 69.13545, "loss": 0.32154, "time": 0.4003} -{"mode": "train", "epoch": 219, "iter": 138000, "lr": 1e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.17476, "decode.acc_seg": 74.54724, "aux.loss_seg": 0.1508, "aux.acc_seg": 68.97638, "loss": 0.32555, "time": 0.40066} -{"mode": "train", "epoch": 219, "iter": 138050, "lr": 1e-05, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.17622, "decode.acc_seg": 74.98342, "aux.loss_seg": 0.14855, "aux.acc_seg": 69.65144, "loss": 0.32477, "time": 0.40073} -{"mode": "train", "epoch": 219, "iter": 138100, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18647, "decode.acc_seg": 75.08127, "aux.loss_seg": 0.15433, "aux.acc_seg": 69.53695, "loss": 0.34081, "time": 0.40079} -{"mode": "train", "epoch": 219, "iter": 138150, "lr": 1e-05, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.18529, "decode.acc_seg": 75.10868, "aux.loss_seg": 0.15381, "aux.acc_seg": 69.59708, "loss": 0.3391, "time": 0.40333} -{"mode": "train", "epoch": 220, "iter": 138200, "lr": 1e-05, "memory": 22018, "data_time": 0.17155, "decode.loss_seg": 0.18645, "decode.acc_seg": 74.10368, "aux.loss_seg": 0.15482, "aux.acc_seg": 68.63446, "loss": 0.34127, "time": 0.56544} -{"mode": "train", "epoch": 220, "iter": 138250, "lr": 1e-05, "memory": 22018, "data_time": 0.00967, "decode.loss_seg": 0.17591, "decode.acc_seg": 75.03379, "aux.loss_seg": 0.14746, "aux.acc_seg": 69.71401, "loss": 0.32337, "time": 0.40322} -{"mode": "train", "epoch": 220, "iter": 138300, "lr": 1e-05, "memory": 22018, "data_time": 0.00979, "decode.loss_seg": 0.17632, "decode.acc_seg": 74.95712, "aux.loss_seg": 0.14806, "aux.acc_seg": 69.79366, "loss": 0.32438, "time": 0.40342} -{"mode": "train", "epoch": 220, "iter": 138350, "lr": 1e-05, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.18543, "decode.acc_seg": 74.43821, "aux.loss_seg": 0.15201, "aux.acc_seg": 69.02122, "loss": 0.33743, "time": 0.4031} -{"mode": "train", "epoch": 220, "iter": 138400, "lr": 1e-05, "memory": 22018, "data_time": 0.00947, "decode.loss_seg": 0.17994, "decode.acc_seg": 75.65274, "aux.loss_seg": 0.15325, "aux.acc_seg": 70.20486, "loss": 0.33319, "time": 0.40508} -{"mode": "train", "epoch": 220, "iter": 138450, "lr": 1e-05, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17922, "decode.acc_seg": 75.11376, "aux.loss_seg": 0.15181, "aux.acc_seg": 69.71211, "loss": 0.33102, "time": 0.40176} -{"mode": "train", "epoch": 220, "iter": 138500, "lr": 1e-05, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.17986, "decode.acc_seg": 73.54707, "aux.loss_seg": 0.15058, "aux.acc_seg": 68.1232, "loss": 0.33044, "time": 0.40257} -{"mode": "train", "epoch": 220, "iter": 138550, "lr": 1e-05, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.17583, "decode.acc_seg": 75.45977, "aux.loss_seg": 0.15203, "aux.acc_seg": 69.92195, "loss": 0.32786, "time": 0.40182} -{"mode": "train", "epoch": 220, "iter": 138600, "lr": 1e-05, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.17587, "decode.acc_seg": 74.32513, "aux.loss_seg": 0.1456, "aux.acc_seg": 69.23685, "loss": 0.32146, "time": 0.40333} -{"mode": "train", "epoch": 220, "iter": 138650, "lr": 1e-05, "memory": 22018, "data_time": 0.0089, "decode.loss_seg": 0.18497, "decode.acc_seg": 75.17892, "aux.loss_seg": 0.15895, "aux.acc_seg": 69.18621, "loss": 0.34392, "time": 0.40344} -{"mode": "train", "epoch": 220, "iter": 138700, "lr": 1e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.17908, "decode.acc_seg": 73.9002, "aux.loss_seg": 0.1485, "aux.acc_seg": 68.52392, "loss": 0.32758, "time": 0.40103} -{"mode": "train", "epoch": 220, "iter": 138750, "lr": 1e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.18382, "decode.acc_seg": 75.42647, "aux.loss_seg": 0.15493, "aux.acc_seg": 69.70231, "loss": 0.33875, "time": 0.40105} -{"mode": "train", "epoch": 220, "iter": 138800, "lr": 1e-05, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.17576, "decode.acc_seg": 74.68087, "aux.loss_seg": 0.14935, "aux.acc_seg": 69.27852, "loss": 0.32512, "time": 0.40061} -{"mode": "train", "epoch": 221, "iter": 138850, "lr": 1e-05, "memory": 22018, "data_time": 0.17767, "decode.loss_seg": 0.17946, "decode.acc_seg": 74.66261, "aux.loss_seg": 0.15231, "aux.acc_seg": 69.18046, "loss": 0.33177, "time": 0.57161} -{"mode": "train", "epoch": 221, "iter": 138900, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.18308, "decode.acc_seg": 74.60363, "aux.loss_seg": 0.1531, "aux.acc_seg": 69.13632, "loss": 0.33617, "time": 0.40148} -{"mode": "train", "epoch": 221, "iter": 138950, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.17703, "decode.acc_seg": 74.0314, "aux.loss_seg": 0.14784, "aux.acc_seg": 68.69716, "loss": 0.32487, "time": 0.40076} -{"mode": "train", "epoch": 221, "iter": 139000, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.17709, "decode.acc_seg": 73.88471, "aux.loss_seg": 0.14962, "aux.acc_seg": 68.44624, "loss": 0.32671, "time": 0.40187} -{"mode": "train", "epoch": 221, "iter": 139050, "lr": 1e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.17836, "decode.acc_seg": 75.32109, "aux.loss_seg": 0.14657, "aux.acc_seg": 70.03463, "loss": 0.32493, "time": 0.40204} -{"mode": "train", "epoch": 221, "iter": 139100, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.17883, "decode.acc_seg": 74.78086, "aux.loss_seg": 0.15221, "aux.acc_seg": 69.26196, "loss": 0.33104, "time": 0.40222} -{"mode": "train", "epoch": 221, "iter": 139150, "lr": 1e-05, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.17887, "decode.acc_seg": 75.48114, "aux.loss_seg": 0.15007, "aux.acc_seg": 70.11523, "loss": 0.32894, "time": 0.40266} -{"mode": "train", "epoch": 221, "iter": 139200, "lr": 1e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17671, "decode.acc_seg": 74.89374, "aux.loss_seg": 0.14439, "aux.acc_seg": 69.75439, "loss": 0.3211, "time": 0.40297} -{"mode": "train", "epoch": 221, "iter": 139250, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.17987, "decode.acc_seg": 74.3652, "aux.loss_seg": 0.15302, "aux.acc_seg": 68.83001, "loss": 0.33289, "time": 0.40162} -{"mode": "train", "epoch": 221, "iter": 139300, "lr": 1e-05, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.17871, "decode.acc_seg": 74.71064, "aux.loss_seg": 0.15176, "aux.acc_seg": 69.06759, "loss": 0.33047, "time": 0.4022} -{"mode": "train", "epoch": 221, "iter": 139350, "lr": 1e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.18052, "decode.acc_seg": 74.22343, "aux.loss_seg": 0.1528, "aux.acc_seg": 68.74935, "loss": 0.33332, "time": 0.40228} -{"mode": "train", "epoch": 221, "iter": 139400, "lr": 1e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.17833, "decode.acc_seg": 75.34885, "aux.loss_seg": 0.15726, "aux.acc_seg": 69.30874, "loss": 0.33559, "time": 0.39973} -{"mode": "train", "epoch": 221, "iter": 139450, "lr": 1e-05, "memory": 22018, "data_time": 0.00839, "decode.loss_seg": 0.17798, "decode.acc_seg": 73.99289, "aux.loss_seg": 0.15011, "aux.acc_seg": 68.65405, "loss": 0.32809, "time": 0.40103} -{"mode": "train", "epoch": 222, "iter": 139500, "lr": 1e-05, "memory": 22018, "data_time": 0.1684, "decode.loss_seg": 0.17472, "decode.acc_seg": 75.45791, "aux.loss_seg": 0.15034, "aux.acc_seg": 69.91855, "loss": 0.32506, "time": 0.56138} -{"mode": "train", "epoch": 222, "iter": 139550, "lr": 1e-05, "memory": 22018, "data_time": 0.00921, "decode.loss_seg": 0.18494, "decode.acc_seg": 74.97331, "aux.loss_seg": 0.15399, "aux.acc_seg": 69.58438, "loss": 0.33893, "time": 0.40177} -{"mode": "train", "epoch": 222, "iter": 139600, "lr": 1e-05, "memory": 22018, "data_time": 0.00868, "decode.loss_seg": 0.17408, "decode.acc_seg": 73.87088, "aux.loss_seg": 0.14975, "aux.acc_seg": 68.26583, "loss": 0.32383, "time": 0.4011} -{"mode": "train", "epoch": 222, "iter": 139650, "lr": 1e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.18313, "decode.acc_seg": 74.43285, "aux.loss_seg": 0.15416, "aux.acc_seg": 69.07657, "loss": 0.33729, "time": 0.40196} -{"mode": "train", "epoch": 222, "iter": 139700, "lr": 1e-05, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.1816, "decode.acc_seg": 74.23545, "aux.loss_seg": 0.15287, "aux.acc_seg": 68.63298, "loss": 0.33447, "time": 0.40174} -{"mode": "train", "epoch": 222, "iter": 139750, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.18228, "decode.acc_seg": 73.58007, "aux.loss_seg": 0.15327, "aux.acc_seg": 68.08728, "loss": 0.33555, "time": 0.40224} -{"mode": "train", "epoch": 222, "iter": 139800, "lr": 1e-05, "memory": 22018, "data_time": 0.00857, "decode.loss_seg": 0.1732, "decode.acc_seg": 75.00273, "aux.loss_seg": 0.14962, "aux.acc_seg": 69.59806, "loss": 0.32282, "time": 0.40195} -{"mode": "train", "epoch": 222, "iter": 139850, "lr": 1e-05, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.17391, "decode.acc_seg": 74.79002, "aux.loss_seg": 0.14563, "aux.acc_seg": 69.5734, "loss": 0.31954, "time": 0.40172} -{"mode": "train", "epoch": 222, "iter": 139900, "lr": 1e-05, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.17964, "decode.acc_seg": 74.36944, "aux.loss_seg": 0.15091, "aux.acc_seg": 68.91523, "loss": 0.33055, "time": 0.40153} -{"mode": "train", "epoch": 222, "iter": 139950, "lr": 1e-05, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.18378, "decode.acc_seg": 75.23317, "aux.loss_seg": 0.1502, "aux.acc_seg": 70.02178, "loss": 0.33398, "time": 0.40226} -{"mode": "train", "epoch": 222, "iter": 140000, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.17593, "decode.acc_seg": 74.90029, "aux.loss_seg": 0.14583, "aux.acc_seg": 69.67395, "loss": 0.32176, "time": 0.40134} -{"mode": "train", "epoch": 222, "iter": 140050, "lr": 1e-05, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.54505, "aux.loss_seg": 0.15179, "aux.acc_seg": 68.96196, "loss": 0.33002, "time": 0.40273} -{"mode": "train", "epoch": 223, "iter": 140100, "lr": 1e-05, "memory": 22018, "data_time": 0.18105, "decode.loss_seg": 0.17895, "decode.acc_seg": 74.08199, "aux.loss_seg": 0.15428, "aux.acc_seg": 68.51881, "loss": 0.33324, "time": 0.57632} -{"mode": "train", "epoch": 223, "iter": 140150, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.18167, "decode.acc_seg": 74.26571, "aux.loss_seg": 0.15434, "aux.acc_seg": 68.64792, "loss": 0.33601, "time": 0.40266} -{"mode": "train", "epoch": 223, "iter": 140200, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.1796, "decode.acc_seg": 74.71615, "aux.loss_seg": 0.151, "aux.acc_seg": 69.25635, "loss": 0.3306, "time": 0.402} -{"mode": "train", "epoch": 223, "iter": 140250, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.18355, "decode.acc_seg": 74.71339, "aux.loss_seg": 0.15116, "aux.acc_seg": 69.47785, "loss": 0.33471, "time": 0.40239} -{"mode": "train", "epoch": 223, "iter": 140300, "lr": 1e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.18255, "decode.acc_seg": 74.52611, "aux.loss_seg": 0.15401, "aux.acc_seg": 68.97616, "loss": 0.33656, "time": 0.40433} -{"mode": "train", "epoch": 223, "iter": 140350, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17484, "decode.acc_seg": 74.4677, "aux.loss_seg": 0.14703, "aux.acc_seg": 69.18598, "loss": 0.32186, "time": 0.40488} -{"mode": "train", "epoch": 223, "iter": 140400, "lr": 1e-05, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.1783, "decode.acc_seg": 74.6108, "aux.loss_seg": 0.14958, "aux.acc_seg": 69.24121, "loss": 0.32789, "time": 0.40333} -{"mode": "train", "epoch": 223, "iter": 140450, "lr": 1e-05, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.17992, "decode.acc_seg": 75.06371, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.57669, "loss": 0.33106, "time": 0.40314} -{"mode": "train", "epoch": 223, "iter": 140500, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18619, "decode.acc_seg": 74.16667, "aux.loss_seg": 0.15513, "aux.acc_seg": 68.73434, "loss": 0.34132, "time": 0.40157} -{"mode": "train", "epoch": 223, "iter": 140550, "lr": 1e-05, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.18171, "decode.acc_seg": 75.39549, "aux.loss_seg": 0.15524, "aux.acc_seg": 69.74993, "loss": 0.33694, "time": 0.4031} -{"mode": "train", "epoch": 223, "iter": 140600, "lr": 1e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.17683, "decode.acc_seg": 74.66344, "aux.loss_seg": 0.14856, "aux.acc_seg": 69.26977, "loss": 0.32539, "time": 0.4028} -{"mode": "train", "epoch": 223, "iter": 140650, "lr": 1e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.17995, "decode.acc_seg": 75.11175, "aux.loss_seg": 0.14949, "aux.acc_seg": 69.77988, "loss": 0.32944, "time": 0.40368} -{"mode": "train", "epoch": 223, "iter": 140700, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.17674, "decode.acc_seg": 73.81217, "aux.loss_seg": 0.15383, "aux.acc_seg": 68.10239, "loss": 0.33057, "time": 0.40253} -{"mode": "train", "epoch": 224, "iter": 140750, "lr": 1e-05, "memory": 22018, "data_time": 0.16516, "decode.loss_seg": 0.1724, "decode.acc_seg": 74.77167, "aux.loss_seg": 0.14806, "aux.acc_seg": 69.31079, "loss": 0.32046, "time": 0.55938} -{"mode": "train", "epoch": 224, "iter": 140800, "lr": 1e-05, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.17858, "decode.acc_seg": 75.18121, "aux.loss_seg": 0.15449, "aux.acc_seg": 69.34049, "loss": 0.33306, "time": 0.40102} -{"mode": "train", "epoch": 224, "iter": 140850, "lr": 1e-05, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.17894, "decode.acc_seg": 74.78881, "aux.loss_seg": 0.15311, "aux.acc_seg": 69.14247, "loss": 0.33205, "time": 0.40069} -{"mode": "train", "epoch": 224, "iter": 140900, "lr": 1e-05, "memory": 22018, "data_time": 0.0076, "decode.loss_seg": 0.18092, "decode.acc_seg": 74.45912, "aux.loss_seg": 0.15277, "aux.acc_seg": 68.96596, "loss": 0.3337, "time": 0.40279} -{"mode": "train", "epoch": 224, "iter": 140950, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.18433, "decode.acc_seg": 74.48365, "aux.loss_seg": 0.15553, "aux.acc_seg": 68.92294, "loss": 0.33985, "time": 0.40207} -{"mode": "train", "epoch": 224, "iter": 141000, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.18014, "decode.acc_seg": 75.39681, "aux.loss_seg": 0.15322, "aux.acc_seg": 69.99939, "loss": 0.33335, "time": 0.4015} -{"mode": "train", "epoch": 224, "iter": 141050, "lr": 1e-05, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.17944, "decode.acc_seg": 74.57721, "aux.loss_seg": 0.14946, "aux.acc_seg": 69.26914, "loss": 0.3289, "time": 0.40076} -{"mode": "train", "epoch": 224, "iter": 141100, "lr": 1e-05, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17661, "decode.acc_seg": 74.8427, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.55448, "loss": 0.32636, "time": 0.40094} -{"mode": "train", "epoch": 224, "iter": 141150, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17402, "decode.acc_seg": 73.95334, "aux.loss_seg": 0.14606, "aux.acc_seg": 68.63198, "loss": 0.32007, "time": 0.40118} -{"mode": "train", "epoch": 224, "iter": 141200, "lr": 1e-05, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.17233, "decode.acc_seg": 75.37249, "aux.loss_seg": 0.14787, "aux.acc_seg": 69.99578, "loss": 0.3202, "time": 0.4003} -{"mode": "train", "epoch": 224, "iter": 141250, "lr": 1e-05, "memory": 22018, "data_time": 0.00743, "decode.loss_seg": 0.17362, "decode.acc_seg": 74.56957, "aux.loss_seg": 0.14903, "aux.acc_seg": 69.15545, "loss": 0.32265, "time": 0.40186} -{"mode": "train", "epoch": 224, "iter": 141300, "lr": 1e-05, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.17766, "decode.acc_seg": 74.25397, "aux.loss_seg": 0.15072, "aux.acc_seg": 68.79445, "loss": 0.32839, "time": 0.4023} -{"mode": "train", "epoch": 225, "iter": 141350, "lr": 1e-05, "memory": 22018, "data_time": 0.1764, "decode.loss_seg": 0.17695, "decode.acc_seg": 75.01067, "aux.loss_seg": 0.151, "aux.acc_seg": 69.56196, "loss": 0.32794, "time": 0.56913} -{"mode": "train", "epoch": 225, "iter": 141400, "lr": 1e-05, "memory": 22018, "data_time": 0.00675, "decode.loss_seg": 0.18198, "decode.acc_seg": 74.52315, "aux.loss_seg": 0.15263, "aux.acc_seg": 69.01216, "loss": 0.33461, "time": 0.39817} -{"mode": "train", "epoch": 225, "iter": 141450, "lr": 1e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.17907, "decode.acc_seg": 74.04128, "aux.loss_seg": 0.14862, "aux.acc_seg": 68.68422, "loss": 0.32769, "time": 0.39859} -{"mode": "train", "epoch": 225, "iter": 141500, "lr": 1e-05, "memory": 22018, "data_time": 0.00691, "decode.loss_seg": 0.17301, "decode.acc_seg": 74.36245, "aux.loss_seg": 0.14468, "aux.acc_seg": 69.06758, "loss": 0.3177, "time": 0.40093} -{"mode": "train", "epoch": 225, "iter": 141550, "lr": 1e-05, "memory": 22018, "data_time": 0.00709, "decode.loss_seg": 0.17452, "decode.acc_seg": 75.04995, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.81003, "loss": 0.32194, "time": 0.40044} -{"mode": "train", "epoch": 225, "iter": 141600, "lr": 1e-05, "memory": 22018, "data_time": 0.00658, "decode.loss_seg": 0.17541, "decode.acc_seg": 75.62906, "aux.loss_seg": 0.1482, "aux.acc_seg": 70.18874, "loss": 0.3236, "time": 0.39998} -{"mode": "train", "epoch": 225, "iter": 141650, "lr": 1e-05, "memory": 22018, "data_time": 0.00727, "decode.loss_seg": 0.17914, "decode.acc_seg": 74.27945, "aux.loss_seg": 0.1495, "aux.acc_seg": 69.00667, "loss": 0.32864, "time": 0.39948} -{"mode": "train", "epoch": 225, "iter": 141700, "lr": 1e-05, "memory": 22018, "data_time": 0.00681, "decode.loss_seg": 0.17864, "decode.acc_seg": 75.06305, "aux.loss_seg": 0.15091, "aux.acc_seg": 69.61783, "loss": 0.32955, "time": 0.39962} -{"mode": "train", "epoch": 225, "iter": 141750, "lr": 1e-05, "memory": 22018, "data_time": 0.00708, "decode.loss_seg": 0.17066, "decode.acc_seg": 75.16446, "aux.loss_seg": 0.14622, "aux.acc_seg": 69.81397, "loss": 0.31688, "time": 0.39906} -{"mode": "train", "epoch": 225, "iter": 141800, "lr": 1e-05, "memory": 22018, "data_time": 0.00697, "decode.loss_seg": 0.17702, "decode.acc_seg": 74.4908, "aux.loss_seg": 0.15222, "aux.acc_seg": 68.88838, "loss": 0.32924, "time": 0.40116} -{"mode": "train", "epoch": 225, "iter": 141850, "lr": 1e-05, "memory": 22018, "data_time": 0.00698, "decode.loss_seg": 0.18133, "decode.acc_seg": 74.76909, "aux.loss_seg": 0.15297, "aux.acc_seg": 69.2574, "loss": 0.3343, "time": 0.40034} -{"mode": "train", "epoch": 225, "iter": 141900, "lr": 1e-05, "memory": 22018, "data_time": 0.00724, "decode.loss_seg": 0.17662, "decode.acc_seg": 74.87914, "aux.loss_seg": 0.14882, "aux.acc_seg": 69.64335, "loss": 0.32544, "time": 0.40022} -{"mode": "train", "epoch": 225, "iter": 141950, "lr": 1e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.18025, "decode.acc_seg": 74.66448, "aux.loss_seg": 0.15748, "aux.acc_seg": 68.8546, "loss": 0.33773, "time": 0.40058} -{"mode": "train", "epoch": 226, "iter": 142000, "lr": 1e-05, "memory": 22018, "data_time": 0.17506, "decode.loss_seg": 0.17318, "decode.acc_seg": 74.17371, "aux.loss_seg": 0.14929, "aux.acc_seg": 68.65849, "loss": 0.32247, "time": 0.56826} -{"mode": "train", "epoch": 226, "iter": 142050, "lr": 1e-05, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.181, "decode.acc_seg": 75.3132, "aux.loss_seg": 0.14968, "aux.acc_seg": 70.08988, "loss": 0.33068, "time": 0.40056} -{"mode": "train", "epoch": 226, "iter": 142100, "lr": 1e-05, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.17282, "decode.acc_seg": 75.09373, "aux.loss_seg": 0.14628, "aux.acc_seg": 69.83013, "loss": 0.3191, "time": 0.40063} -{"mode": "train", "epoch": 226, "iter": 142150, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17452, "decode.acc_seg": 74.4584, "aux.loss_seg": 0.14812, "aux.acc_seg": 69.06681, "loss": 0.32265, "time": 0.40125} -{"mode": "train", "epoch": 226, "iter": 142200, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.18224, "decode.acc_seg": 74.78841, "aux.loss_seg": 0.15609, "aux.acc_seg": 69.19204, "loss": 0.33833, "time": 0.40278} -{"mode": "train", "epoch": 226, "iter": 142250, "lr": 1e-05, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.17508, "decode.acc_seg": 73.66939, "aux.loss_seg": 0.14726, "aux.acc_seg": 68.37112, "loss": 0.32234, "time": 0.40146} -{"mode": "train", "epoch": 226, "iter": 142300, "lr": 1e-05, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.18225, "decode.acc_seg": 74.91492, "aux.loss_seg": 0.15148, "aux.acc_seg": 69.35667, "loss": 0.33373, "time": 0.40206} -{"mode": "train", "epoch": 226, "iter": 142350, "lr": 1e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17904, "decode.acc_seg": 74.24528, "aux.loss_seg": 0.15098, "aux.acc_seg": 68.91698, "loss": 0.33002, "time": 0.40093} -{"mode": "train", "epoch": 226, "iter": 142400, "lr": 1e-05, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17501, "decode.acc_seg": 74.20105, "aux.loss_seg": 0.15012, "aux.acc_seg": 68.63566, "loss": 0.32513, "time": 0.40091} -{"mode": "train", "epoch": 226, "iter": 142450, "lr": 1e-05, "memory": 22018, "data_time": 0.00794, "decode.loss_seg": 0.17332, "decode.acc_seg": 75.43216, "aux.loss_seg": 0.14666, "aux.acc_seg": 70.20542, "loss": 0.31998, "time": 0.40129} -{"mode": "train", "epoch": 226, "iter": 142500, "lr": 1e-05, "memory": 22018, "data_time": 0.00783, "decode.loss_seg": 0.17216, "decode.acc_seg": 74.46406, "aux.loss_seg": 0.14775, "aux.acc_seg": 69.09696, "loss": 0.31991, "time": 0.40076} -{"mode": "train", "epoch": 226, "iter": 142550, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17598, "decode.acc_seg": 75.62114, "aux.loss_seg": 0.14863, "aux.acc_seg": 70.12694, "loss": 0.32462, "time": 0.40146} -{"mode": "train", "epoch": 226, "iter": 142600, "lr": 1e-05, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.18007, "decode.acc_seg": 74.91016, "aux.loss_seg": 0.15319, "aux.acc_seg": 69.2715, "loss": 0.33326, "time": 0.40285} -{"mode": "train", "epoch": 227, "iter": 142650, "lr": 1e-05, "memory": 22018, "data_time": 0.17707, "decode.loss_seg": 0.18684, "decode.acc_seg": 73.94537, "aux.loss_seg": 0.15007, "aux.acc_seg": 68.91584, "loss": 0.3369, "time": 0.56955} -{"mode": "train", "epoch": 227, "iter": 142700, "lr": 1e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.17277, "decode.acc_seg": 75.22195, "aux.loss_seg": 0.14822, "aux.acc_seg": 69.88814, "loss": 0.32099, "time": 0.40152} -{"mode": "train", "epoch": 227, "iter": 142750, "lr": 1e-05, "memory": 22018, "data_time": 0.00985, "decode.loss_seg": 0.1781, "decode.acc_seg": 74.60574, "aux.loss_seg": 0.15052, "aux.acc_seg": 69.15364, "loss": 0.32863, "time": 0.40247} -{"mode": "train", "epoch": 227, "iter": 142800, "lr": 1e-05, "memory": 22018, "data_time": 0.00956, "decode.loss_seg": 0.18082, "decode.acc_seg": 74.28083, "aux.loss_seg": 0.14984, "aux.acc_seg": 68.91045, "loss": 0.33066, "time": 0.40368} -{"mode": "train", "epoch": 227, "iter": 142850, "lr": 1e-05, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.18186, "decode.acc_seg": 74.94874, "aux.loss_seg": 0.14799, "aux.acc_seg": 69.84154, "loss": 0.32985, "time": 0.40262} -{"mode": "train", "epoch": 227, "iter": 142900, "lr": 1e-05, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.18243, "decode.acc_seg": 75.08109, "aux.loss_seg": 0.15669, "aux.acc_seg": 69.46497, "loss": 0.33912, "time": 0.40262} -{"mode": "train", "epoch": 227, "iter": 142950, "lr": 1e-05, "memory": 22018, "data_time": 0.00848, "decode.loss_seg": 0.17761, "decode.acc_seg": 75.88038, "aux.loss_seg": 0.14977, "aux.acc_seg": 70.51238, "loss": 0.32738, "time": 0.40226} -{"mode": "train", "epoch": 227, "iter": 143000, "lr": 1e-05, "memory": 22018, "data_time": 0.01041, "decode.loss_seg": 0.18105, "decode.acc_seg": 75.17269, "aux.loss_seg": 0.15357, "aux.acc_seg": 69.64754, "loss": 0.33462, "time": 0.40383} -{"mode": "train", "epoch": 227, "iter": 143050, "lr": 1e-05, "memory": 22018, "data_time": 0.00909, "decode.loss_seg": 0.17437, "decode.acc_seg": 74.22447, "aux.loss_seg": 0.14605, "aux.acc_seg": 69.03867, "loss": 0.32042, "time": 0.40317} -{"mode": "train", "epoch": 227, "iter": 143100, "lr": 1e-05, "memory": 22018, "data_time": 0.0094, "decode.loss_seg": 0.17368, "decode.acc_seg": 74.40123, "aux.loss_seg": 0.14653, "aux.acc_seg": 69.14335, "loss": 0.32021, "time": 0.40346} -{"mode": "train", "epoch": 227, "iter": 143150, "lr": 1e-05, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.18568, "decode.acc_seg": 74.88742, "aux.loss_seg": 0.15421, "aux.acc_seg": 69.49511, "loss": 0.33989, "time": 0.40265} -{"mode": "train", "epoch": 227, "iter": 143200, "lr": 1e-05, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.18161, "decode.acc_seg": 74.28268, "aux.loss_seg": 0.14778, "aux.acc_seg": 69.10413, "loss": 0.3294, "time": 0.40235} -{"mode": "train", "epoch": 228, "iter": 143250, "lr": 1e-05, "memory": 22018, "data_time": 0.16978, "decode.loss_seg": 0.18183, "decode.acc_seg": 74.53919, "aux.loss_seg": 0.15205, "aux.acc_seg": 69.0791, "loss": 0.33388, "time": 0.56241} -{"mode": "train", "epoch": 228, "iter": 143300, "lr": 1e-05, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.17639, "decode.acc_seg": 75.12756, "aux.loss_seg": 0.14895, "aux.acc_seg": 69.76502, "loss": 0.32535, "time": 0.40152} -{"mode": "train", "epoch": 228, "iter": 143350, "lr": 1e-05, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.17717, "decode.acc_seg": 74.69517, "aux.loss_seg": 0.15054, "aux.acc_seg": 69.28629, "loss": 0.32771, "time": 0.40204} -{"mode": "train", "epoch": 228, "iter": 143400, "lr": 1e-05, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.17275, "decode.acc_seg": 75.11677, "aux.loss_seg": 0.14892, "aux.acc_seg": 69.73115, "loss": 0.32167, "time": 0.40203} -{"mode": "train", "epoch": 228, "iter": 143450, "lr": 1e-05, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17664, "decode.acc_seg": 74.61663, "aux.loss_seg": 0.14877, "aux.acc_seg": 69.2356, "loss": 0.32542, "time": 0.40228} -{"mode": "train", "epoch": 228, "iter": 143500, "lr": 1e-05, "memory": 22018, "data_time": 0.00847, "decode.loss_seg": 0.17742, "decode.acc_seg": 75.23336, "aux.loss_seg": 0.14779, "aux.acc_seg": 69.89853, "loss": 0.32522, "time": 0.40283} -{"mode": "train", "epoch": 228, "iter": 143550, "lr": 1e-05, "memory": 22018, "data_time": 0.00952, "decode.loss_seg": 0.17536, "decode.acc_seg": 74.80661, "aux.loss_seg": 0.15211, "aux.acc_seg": 69.16154, "loss": 0.32746, "time": 0.40217} -{"mode": "train", "epoch": 228, "iter": 143600, "lr": 1e-05, "memory": 22018, "data_time": 0.00946, "decode.loss_seg": 0.18157, "decode.acc_seg": 74.53558, "aux.loss_seg": 0.15193, "aux.acc_seg": 69.15651, "loss": 0.3335, "time": 0.40157} -{"mode": "train", "epoch": 228, "iter": 143650, "lr": 1e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.1722, "decode.acc_seg": 74.53617, "aux.loss_seg": 0.14921, "aux.acc_seg": 69.06632, "loss": 0.32141, "time": 0.40246} -{"mode": "train", "epoch": 228, "iter": 143700, "lr": 1e-05, "memory": 22018, "data_time": 0.00908, "decode.loss_seg": 0.18391, "decode.acc_seg": 74.15997, "aux.loss_seg": 0.15278, "aux.acc_seg": 68.79114, "loss": 0.3367, "time": 0.40328} -{"mode": "train", "epoch": 228, "iter": 143750, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.17915, "decode.acc_seg": 75.43938, "aux.loss_seg": 0.15179, "aux.acc_seg": 69.93708, "loss": 0.33093, "time": 0.40285} -{"mode": "train", "epoch": 228, "iter": 143800, "lr": 1e-05, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.17434, "decode.acc_seg": 74.63607, "aux.loss_seg": 0.14673, "aux.acc_seg": 69.32177, "loss": 0.32107, "time": 0.40348} -{"mode": "train", "epoch": 228, "iter": 143850, "lr": 1e-05, "memory": 22018, "data_time": 0.00874, "decode.loss_seg": 0.17659, "decode.acc_seg": 73.99621, "aux.loss_seg": 0.15015, "aux.acc_seg": 68.55958, "loss": 0.32674, "time": 0.40199} -{"mode": "train", "epoch": 229, "iter": 143900, "lr": 1e-05, "memory": 22018, "data_time": 0.17007, "decode.loss_seg": 0.17783, "decode.acc_seg": 74.96229, "aux.loss_seg": 0.15422, "aux.acc_seg": 69.323, "loss": 0.33205, "time": 0.56227} -{"mode": "train", "epoch": 229, "iter": 143950, "lr": 1e-05, "memory": 22018, "data_time": 0.00791, "decode.loss_seg": 0.17656, "decode.acc_seg": 75.52939, "aux.loss_seg": 0.1458, "aux.acc_seg": 70.38969, "loss": 0.32236, "time": 0.39875} -{"mode": "val", "epoch": 229, "iter": 144000, "lr": 1e-05, "mIoU": 0.4617, "mAcc": 0.5757, "aAcc": 0.8174, "IoU.wall": 0.7537, "IoU.building": 0.8158, "IoU.sky": 0.937, "IoU.floor": 0.8011, "IoU.tree": 0.7218, "IoU.ceiling": 0.8334, "IoU.road": 0.816, "IoU.bed ": 0.864, "IoU.windowpane": 0.601, "IoU.grass": 0.6673, "IoU.cabinet": 0.5906, "IoU.sidewalk": 0.6269, "IoU.person": 0.764, "IoU.earth": 0.3443, "IoU.door": 0.4326, "IoU.table": 0.5694, "IoU.mountain": 0.6012, "IoU.plant": 0.4944, "IoU.curtain": 0.7177, "IoU.chair": 0.5307, "IoU.car": 0.8187, "IoU.water": 0.51, "IoU.painting": 0.7031, "IoU.sofa": 0.6092, "IoU.shelf": 0.3764, "IoU.house": 0.4248, "IoU.sea": 0.5181, "IoU.mirror": 0.6142, "IoU.rug": 0.5822, "IoU.field": 0.3267, "IoU.armchair": 0.3272, "IoU.seat": 0.5639, "IoU.fence": 0.4373, "IoU.desk": 0.4778, "IoU.rock": 0.4558, "IoU.wardrobe": 0.5177, "IoU.lamp": 0.5706, "IoU.bathtub": 0.7685, "IoU.railing": 0.3306, "IoU.cushion": 0.5191, "IoU.base": 0.273, "IoU.box": 0.215, "IoU.column": 0.4094, "IoU.signboard": 0.336, "IoU.chest of drawers": 0.3666, "IoU.counter": 0.2679, "IoU.sand": 0.341, "IoU.sink": 0.6924, "IoU.skyscraper": 0.6932, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6236, "IoU.grandstand": 0.4233, "IoU.path": 0.2146, "IoU.stairs": 0.2739, "IoU.runway": 0.6447, "IoU.case": 0.3693, "IoU.pool table": 0.9128, "IoU.pillow": 0.5265, "IoU.screen door": 0.6523, "IoU.stairway": 0.2791, "IoU.river": 0.0961, "IoU.bridge": 0.6028, "IoU.bookcase": 0.4483, "IoU.blind": NaN, "IoU.coffee table": 0.5259, "IoU.toilet": 0.8329, "IoU.flower": 0.4099, "IoU.book": 0.4589, "IoU.hill": 0.14, "IoU.bench": 0.3971, "IoU.countertop": 0.5302, "IoU.stove": 0.7052, "IoU.palm": 0.4197, "IoU.kitchen island": 0.3116, "IoU.computer": 0.5689, "IoU.swivel chair": 0.3959, "IoU.boat": 0.5303, "IoU.bar": 0.3489, "IoU.arcade machine": 0.3944, "IoU.hovel": 0.3034, "IoU.bus": 0.844, "IoU.towel": 0.6117, "IoU.light": 0.5369, "IoU.truck": 0.3561, "IoU.tower": 0.0856, "IoU.chandelier": 0.6224, "IoU.awning": 0.3051, "IoU.streetlight": 0.2007, "IoU.booth": 0.541, "IoU.television receiver": NaN, "IoU.airplane": 0.5388, "IoU.dirt track": 0.2646, "IoU.apparel": 0.3417, "IoU.pole": 0.1597, "IoU.land": 0.0024, "IoU.bannister": 0.1112, "IoU.escalator": 0.2281, "IoU.ottoman": 0.3543, "IoU.bottle": NaN, "IoU.buffet": 0.3409, "IoU.poster": 0.3009, "IoU.stage": 0.1777, "IoU.van": 0.4296, "IoU.ship": 0.6214, "IoU.fountain": 0.2475, "IoU.conveyer belt": 0.7611, "IoU.canopy": 0.2193, "IoU.washer": 0.7055, "IoU.plaything": 0.1915, "IoU.swimming pool": 0.6272, "IoU.stool": 0.417, "IoU.barrel": 0.4585, "IoU.basket": 0.23, "IoU.waterfall": 0.558, "IoU.tent": 0.9248, "IoU.bag": 0.1491, "IoU.minibike": 0.6262, "IoU.cradle": NaN, "IoU.oven": 0.4569, "IoU.ball": 0.3746, "IoU.food": 0.4564, "IoU.step": 0.1133, "IoU.tank": 0.4391, "IoU.trade name": 0.2113, "IoU.microwave": 0.7338, "IoU.pot": 0.4706, "IoU.animal": NaN, "IoU.bicycle": 0.5062, "IoU.lake": 0.5045, "IoU.dishwasher": 0.473, "IoU.screen": 0.5894, "IoU.blanket": 0.1186, "IoU.sculpture": 0.5673, "IoU.hood": 0.5717, "IoU.sconce": 0.4002, "IoU.vase": 0.3069, "IoU.traffic light": 0.2503, "IoU.tray": 0.0736, "IoU.ashcan": 0.3268, "IoU.fan": 0.5413, "IoU.pier": 0.6237, "IoU.crt screen": 0.0803, "IoU.plate": 0.5355, "IoU.monitor": 0.1923, "IoU.bulletin board": 0.3434, "IoU.shower": 0.0189, "IoU.radiator": 0.4606, "IoU.glass": 0.1139, "IoU.clock": 0.383, "IoU.flag": 0.2862, "Acc.wall": 0.8771, "Acc.building": 0.9176, "Acc.sky": 0.9724, "Acc.floor": 0.9023, "Acc.tree": 0.8654, "Acc.ceiling": 0.9167, "Acc.road": 0.8921, "Acc.bed ": 0.9479, "Acc.windowpane": 0.7705, "Acc.grass": 0.8183, "Acc.cabinet": 0.7313, "Acc.sidewalk": 0.8111, "Acc.person": 0.905, "Acc.earth": 0.4835, "Acc.door": 0.5523, "Acc.table": 0.7397, "Acc.mountain": 0.77, "Acc.plant": 0.6072, "Acc.curtain": 0.8397, "Acc.chair": 0.6823, "Acc.car": 0.9031, "Acc.water": 0.665, "Acc.painting": 0.8655, "Acc.sofa": 0.8199, "Acc.shelf": 0.5121, "Acc.house": 0.6453, "Acc.sea": 0.7602, "Acc.mirror": 0.6949, "Acc.rug": 0.6504, "Acc.field": 0.4237, "Acc.armchair": 0.4508, "Acc.seat": 0.7485, "Acc.fence": 0.6011, "Acc.desk": 0.6765, "Acc.rock": 0.7062, "Acc.wardrobe": 0.6641, "Acc.lamp": 0.7074, "Acc.bathtub": 0.8283, "Acc.railing": 0.4394, "Acc.cushion": 0.6741, "Acc.base": 0.387, "Acc.box": 0.2822, "Acc.column": 0.5201, "Acc.signboard": 0.474, "Acc.chest of drawers": 0.5164, "Acc.counter": 0.3149, "Acc.sand": 0.5265, "Acc.sink": 0.7934, "Acc.skyscraper": 0.8621, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7726, "Acc.grandstand": 0.6071, "Acc.path": 0.3032, "Acc.stairs": 0.3311, "Acc.runway": 0.8552, "Acc.case": 0.4793, "Acc.pool table": 0.9593, "Acc.pillow": 0.6231, "Acc.screen door": 0.7228, "Acc.stairway": 0.403, "Acc.river": 0.1789, "Acc.bridge": 0.7756, "Acc.bookcase": 0.5518, "Acc.blind": NaN, "Acc.coffee table": 0.7801, "Acc.toilet": 0.8867, "Acc.flower": 0.5591, "Acc.book": 0.6801, "Acc.hill": 0.167, "Acc.bench": 0.46, "Acc.countertop": 0.7082, "Acc.stove": 0.8084, "Acc.palm": 0.663, "Acc.kitchen island": 0.5567, "Acc.computer": 0.6859, "Acc.swivel chair": 0.5457, "Acc.boat": 0.6053, "Acc.bar": 0.4468, "Acc.arcade machine": 0.4091, "Acc.hovel": 0.3237, "Acc.bus": 0.9207, "Acc.towel": 0.7411, "Acc.light": 0.6329, "Acc.truck": 0.4765, "Acc.tower": 0.1103, "Acc.chandelier": 0.7644, "Acc.awning": 0.3641, "Acc.streetlight": 0.2682, "Acc.booth": 0.6631, "Acc.television receiver": NaN, "Acc.airplane": 0.6198, "Acc.dirt track": 0.4563, "Acc.apparel": 0.4595, "Acc.pole": 0.2349, "Acc.land": 0.0028, "Acc.bannister": 0.1475, "Acc.escalator": 0.2777, "Acc.ottoman": 0.5497, "Acc.bottle": NaN, "Acc.buffet": 0.3754, "Acc.poster": 0.3972, "Acc.stage": 0.2426, "Acc.van": 0.5755, "Acc.ship": 0.9306, "Acc.fountain": 0.26, "Acc.conveyer belt": 0.8632, "Acc.canopy": 0.2636, "Acc.washer": 0.7269, "Acc.plaything": 0.2615, "Acc.swimming pool": 0.7734, "Acc.stool": 0.4978, "Acc.barrel": 0.6613, "Acc.basket": 0.4112, "Acc.waterfall": 0.6095, "Acc.tent": 0.9851, "Acc.bag": 0.2097, "Acc.minibike": 0.7454, "Acc.cradle": NaN, "Acc.oven": 0.5892, "Acc.ball": 0.4536, "Acc.food": 0.5214, "Acc.step": 0.1296, "Acc.tank": 0.5157, "Acc.trade name": 0.2495, "Acc.microwave": 0.8158, "Acc.pot": 0.556, "Acc.animal": NaN, "Acc.bicycle": 0.6966, "Acc.lake": 0.6241, "Acc.dishwasher": 0.5914, "Acc.screen": 0.8021, "Acc.blanket": 0.1341, "Acc.sculpture": 0.658, "Acc.hood": 0.6332, "Acc.sconce": 0.4925, "Acc.vase": 0.4437, "Acc.traffic light": 0.376, "Acc.tray": 0.1598, "Acc.ashcan": 0.425, "Acc.fan": 0.6801, "Acc.pier": 0.8583, "Acc.crt screen": 0.1874, "Acc.plate": 0.6753, "Acc.monitor": 0.2122, "Acc.bulletin board": 0.4715, "Acc.shower": 0.0594, "Acc.radiator": 0.5365, "Acc.glass": 0.1206, "Acc.clock": 0.4478, "Acc.flag": 0.3405} -{"mode": "train", "epoch": 229, "iter": 144050, "lr": 1e-05, "memory": 22018, "data_time": 1.72434, "decode.loss_seg": 0.18194, "decode.acc_seg": 74.76952, "aux.loss_seg": 0.15123, "aux.acc_seg": 69.50725, "loss": 0.33316, "time": 2.11817} -{"mode": "train", "epoch": 229, "iter": 144100, "lr": 1e-05, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.17738, "decode.acc_seg": 74.63395, "aux.loss_seg": 0.14767, "aux.acc_seg": 69.38748, "loss": 0.32506, "time": 0.40198} -{"mode": "train", "epoch": 229, "iter": 144150, "lr": 1e-05, "memory": 22018, "data_time": 0.00714, "decode.loss_seg": 0.17695, "decode.acc_seg": 75.44354, "aux.loss_seg": 0.14638, "aux.acc_seg": 70.32569, "loss": 0.32334, "time": 0.39984} -{"mode": "train", "epoch": 229, "iter": 144200, "lr": 1e-05, "memory": 22018, "data_time": 0.00731, "decode.loss_seg": 0.17636, "decode.acc_seg": 74.30018, "aux.loss_seg": 0.14872, "aux.acc_seg": 68.96144, "loss": 0.32508, "time": 0.39926} -{"mode": "train", "epoch": 229, "iter": 144250, "lr": 1e-05, "memory": 22018, "data_time": 0.00663, "decode.loss_seg": 0.17454, "decode.acc_seg": 74.52359, "aux.loss_seg": 0.1472, "aux.acc_seg": 69.20187, "loss": 0.32174, "time": 0.39836} -{"mode": "train", "epoch": 229, "iter": 144300, "lr": 1e-05, "memory": 22018, "data_time": 0.0066, "decode.loss_seg": 0.17297, "decode.acc_seg": 75.08419, "aux.loss_seg": 0.15079, "aux.acc_seg": 69.44784, "loss": 0.32376, "time": 0.39812} -{"mode": "train", "epoch": 229, "iter": 144350, "lr": 1e-05, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.91543, "aux.loss_seg": 0.15229, "aux.acc_seg": 69.48565, "loss": 0.33051, "time": 0.40062} -{"mode": "train", "epoch": 229, "iter": 144400, "lr": 1e-05, "memory": 22018, "data_time": 0.00699, "decode.loss_seg": 0.17483, "decode.acc_seg": 74.57339, "aux.loss_seg": 0.14663, "aux.acc_seg": 69.12771, "loss": 0.32146, "time": 0.40044} -{"mode": "train", "epoch": 229, "iter": 144450, "lr": 1e-05, "memory": 22018, "data_time": 0.00673, "decode.loss_seg": 0.18087, "decode.acc_seg": 74.24442, "aux.loss_seg": 0.15306, "aux.acc_seg": 68.65643, "loss": 0.33393, "time": 0.39964} -{"mode": "train", "epoch": 229, "iter": 144500, "lr": 1e-05, "memory": 22018, "data_time": 0.17206, "decode.loss_seg": 0.17854, "decode.acc_seg": 74.93407, "aux.loss_seg": 0.14887, "aux.acc_seg": 69.72596, "loss": 0.32741, "time": 0.56479} -{"mode": "train", "epoch": 230, "iter": 144550, "lr": 1e-05, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.17677, "decode.acc_seg": 74.34847, "aux.loss_seg": 0.15447, "aux.acc_seg": 68.52238, "loss": 0.33124, "time": 0.40151} -{"mode": "train", "epoch": 230, "iter": 144600, "lr": 1e-05, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.18105, "decode.acc_seg": 75.19676, "aux.loss_seg": 0.15106, "aux.acc_seg": 69.7852, "loss": 0.33212, "time": 0.40345} -{"mode": "train", "epoch": 230, "iter": 144650, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.17849, "decode.acc_seg": 75.19613, "aux.loss_seg": 0.1487, "aux.acc_seg": 69.95669, "loss": 0.32719, "time": 0.4011} -{"mode": "train", "epoch": 230, "iter": 144700, "lr": 1e-05, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.18276, "decode.acc_seg": 75.32631, "aux.loss_seg": 0.14969, "aux.acc_seg": 70.17466, "loss": 0.33245, "time": 0.40229} -{"mode": "train", "epoch": 230, "iter": 144750, "lr": 1e-05, "memory": 22018, "data_time": 0.0079, "decode.loss_seg": 0.1737, "decode.acc_seg": 74.76777, "aux.loss_seg": 0.14479, "aux.acc_seg": 69.64198, "loss": 0.31849, "time": 0.40092} -{"mode": "train", "epoch": 230, "iter": 144800, "lr": 1e-05, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.1784, "decode.acc_seg": 75.74432, "aux.loss_seg": 0.15179, "aux.acc_seg": 70.28523, "loss": 0.33019, "time": 0.40131} -{"mode": "train", "epoch": 230, "iter": 144850, "lr": 1e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.17681, "decode.acc_seg": 75.31364, "aux.loss_seg": 0.14869, "aux.acc_seg": 69.92309, "loss": 0.3255, "time": 0.40162} -{"mode": "train", "epoch": 230, "iter": 144900, "lr": 1e-05, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.17804, "decode.acc_seg": 74.43588, "aux.loss_seg": 0.15058, "aux.acc_seg": 68.99505, "loss": 0.32862, "time": 0.40061} -{"mode": "train", "epoch": 230, "iter": 144950, "lr": 1e-05, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17338, "decode.acc_seg": 74.94858, "aux.loss_seg": 0.14635, "aux.acc_seg": 69.65547, "loss": 0.31974, "time": 0.40096} -{"mode": "train", "epoch": 230, "iter": 145000, "lr": 1e-05, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.17696, "decode.acc_seg": 74.69197, "aux.loss_seg": 0.15016, "aux.acc_seg": 69.22251, "loss": 0.32712, "time": 0.40031} -{"mode": "train", "epoch": 230, "iter": 145050, "lr": 1e-05, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.16788, "decode.acc_seg": 74.13633, "aux.loss_seg": 0.14182, "aux.acc_seg": 68.99691, "loss": 0.3097, "time": 0.40096} -{"mode": "train", "epoch": 230, "iter": 145100, "lr": 1e-05, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.1736, "decode.acc_seg": 74.84465, "aux.loss_seg": 0.14846, "aux.acc_seg": 69.46395, "loss": 0.32207, "time": 0.40269} -{"mode": "train", "epoch": 231, "iter": 145150, "lr": 1e-05, "memory": 22018, "data_time": 0.18661, "decode.loss_seg": 0.17603, "decode.acc_seg": 74.71741, "aux.loss_seg": 0.15045, "aux.acc_seg": 69.31334, "loss": 0.32648, "time": 0.58142} -{"mode": "train", "epoch": 231, "iter": 145200, "lr": 1e-05, "memory": 22018, "data_time": 0.00913, "decode.loss_seg": 0.17656, "decode.acc_seg": 73.76674, "aux.loss_seg": 0.14943, "aux.acc_seg": 68.36587, "loss": 0.32599, "time": 0.40324} -{"mode": "train", "epoch": 231, "iter": 145250, "lr": 1e-05, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.176, "decode.acc_seg": 74.06729, "aux.loss_seg": 0.15244, "aux.acc_seg": 68.42668, "loss": 0.32844, "time": 0.40316} -{"mode": "train", "epoch": 231, "iter": 145300, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.17912, "decode.acc_seg": 75.05265, "aux.loss_seg": 0.15529, "aux.acc_seg": 69.25897, "loss": 0.33441, "time": 0.40122} -{"mode": "train", "epoch": 231, "iter": 145350, "lr": 1e-05, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.17954, "decode.acc_seg": 73.8536, "aux.loss_seg": 0.15346, "aux.acc_seg": 68.166, "loss": 0.33299, "time": 0.40066} -{"mode": "train", "epoch": 231, "iter": 145400, "lr": 1e-05, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.18147, "decode.acc_seg": 74.84383, "aux.loss_seg": 0.15182, "aux.acc_seg": 69.50489, "loss": 0.33329, "time": 0.40071} -{"mode": "train", "epoch": 231, "iter": 145450, "lr": 1e-05, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.17153, "decode.acc_seg": 74.9164, "aux.loss_seg": 0.14686, "aux.acc_seg": 69.51938, "loss": 0.3184, "time": 0.39897} -{"mode": "train", "epoch": 231, "iter": 145500, "lr": 1e-05, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.17614, "decode.acc_seg": 74.50965, "aux.loss_seg": 0.14856, "aux.acc_seg": 69.13981, "loss": 0.3247, "time": 0.40082} -{"mode": "train", "epoch": 231, "iter": 145550, "lr": 1e-05, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.17828, "decode.acc_seg": 75.14719, "aux.loss_seg": 0.14972, "aux.acc_seg": 69.68528, "loss": 0.328, "time": 0.40048} -{"mode": "train", "epoch": 231, "iter": 145600, "lr": 1e-05, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.17121, "decode.acc_seg": 74.40281, "aux.loss_seg": 0.14313, "aux.acc_seg": 69.29121, "loss": 0.31435, "time": 0.40028} -{"mode": "train", "epoch": 231, "iter": 145650, "lr": 1e-05, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.17635, "decode.acc_seg": 74.07734, "aux.loss_seg": 0.1489, "aux.acc_seg": 68.57179, "loss": 0.32525, "time": 0.4005} -{"mode": "train", "epoch": 231, "iter": 145700, "lr": 1e-05, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.17713, "decode.acc_seg": 75.19946, "aux.loss_seg": 0.14915, "aux.acc_seg": 69.87768, "loss": 0.32629, "time": 0.40022} -{"mode": "train", "epoch": 231, "iter": 145750, "lr": 1e-05, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.17694, "decode.acc_seg": 75.35562, "aux.loss_seg": 0.14893, "aux.acc_seg": 69.93366, "loss": 0.32586, "time": 0.40157} -{"mode": "train", "epoch": 232, "iter": 145800, "lr": 1e-05, "memory": 22018, "data_time": 0.17406, "decode.loss_seg": 0.17649, "decode.acc_seg": 75.13601, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.46397, "loss": 0.32829, "time": 0.56736} -{"mode": "train", "epoch": 232, "iter": 145850, "lr": 1e-05, "memory": 22018, "data_time": 0.00803, "decode.loss_seg": 0.17188, "decode.acc_seg": 75.11524, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.56084, "loss": 0.32131, "time": 0.40197} -{"mode": "train", "epoch": 232, "iter": 145900, "lr": 1e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.17675, "decode.acc_seg": 74.50645, "aux.loss_seg": 0.14685, "aux.acc_seg": 69.31058, "loss": 0.3236, "time": 0.40241} -{"mode": "train", "epoch": 232, "iter": 145950, "lr": 1e-05, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.17706, "decode.acc_seg": 74.76599, "aux.loss_seg": 0.15196, "aux.acc_seg": 69.29674, "loss": 0.32902, "time": 0.40209} -{"mode": "train", "epoch": 232, "iter": 146000, "lr": 1e-05, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.16725, "decode.acc_seg": 75.56836, "aux.loss_seg": 0.14366, "aux.acc_seg": 70.33777, "loss": 0.31091, "time": 0.40218} -{"mode": "train", "epoch": 232, "iter": 146050, "lr": 1e-05, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.18028, "decode.acc_seg": 75.52142, "aux.loss_seg": 0.15484, "aux.acc_seg": 69.94289, "loss": 0.33511, "time": 0.40223} -{"mode": "train", "epoch": 232, "iter": 146100, "lr": 1e-05, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.18327, "decode.acc_seg": 74.96536, "aux.loss_seg": 0.15572, "aux.acc_seg": 69.25785, "loss": 0.33899, "time": 0.4036} -{"mode": "train", "epoch": 232, "iter": 146150, "lr": 1e-05, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17018, "decode.acc_seg": 74.77186, "aux.loss_seg": 0.14677, "aux.acc_seg": 69.44617, "loss": 0.31694, "time": 0.40279} -{"mode": "train", "epoch": 232, "iter": 146200, "lr": 1e-05, "memory": 22018, "data_time": 0.00852, "decode.loss_seg": 0.17218, "decode.acc_seg": 74.4126, "aux.loss_seg": 0.1468, "aux.acc_seg": 69.19894, "loss": 0.31898, "time": 0.40289} -{"mode": "train", "epoch": 232, "iter": 146250, "lr": 1e-05, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.18483, "decode.acc_seg": 75.27161, "aux.loss_seg": 0.15226, "aux.acc_seg": 69.9299, "loss": 0.33708, "time": 0.40185} -{"mode": "train", "epoch": 232, "iter": 146300, "lr": 1e-05, "memory": 22018, "data_time": 0.00849, "decode.loss_seg": 0.17371, "decode.acc_seg": 75.40972, "aux.loss_seg": 0.1504, "aux.acc_seg": 69.94847, "loss": 0.3241, "time": 0.4031} -{"mode": "train", "epoch": 232, "iter": 146350, "lr": 1e-05, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.18131, "decode.acc_seg": 74.88896, "aux.loss_seg": 0.15192, "aux.acc_seg": 69.41699, "loss": 0.33322, "time": 0.40394} -{"mode": "train", "epoch": 233, "iter": 146400, "lr": 1e-05, "memory": 22018, "data_time": 0.17045, "decode.loss_seg": 0.17582, "decode.acc_seg": 74.76253, "aux.loss_seg": 0.14828, "aux.acc_seg": 69.45146, "loss": 0.32411, "time": 0.56514} -{"mode": "train", "epoch": 233, "iter": 146450, "lr": 1e-05, "memory": 22018, "data_time": 0.00966, "decode.loss_seg": 0.17795, "decode.acc_seg": 74.94728, "aux.loss_seg": 0.14851, "aux.acc_seg": 69.59652, "loss": 0.32646, "time": 0.40206} -{"mode": "train", "epoch": 233, "iter": 146500, "lr": 1e-05, "memory": 22018, "data_time": 0.01016, "decode.loss_seg": 0.1759, "decode.acc_seg": 74.98671, "aux.loss_seg": 0.14597, "aux.acc_seg": 69.94042, "loss": 0.32188, "time": 0.40193} -{"mode": "train", "epoch": 233, "iter": 146550, "lr": 1e-05, "memory": 22018, "data_time": 0.0101, "decode.loss_seg": 0.17608, "decode.acc_seg": 75.6986, "aux.loss_seg": 0.15124, "aux.acc_seg": 70.24038, "loss": 0.32732, "time": 0.4016} -{"mode": "train", "epoch": 233, "iter": 146600, "lr": 1e-05, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.17924, "decode.acc_seg": 74.4143, "aux.loss_seg": 0.15211, "aux.acc_seg": 68.84191, "loss": 0.33135, "time": 0.40389} -{"mode": "train", "epoch": 233, "iter": 146650, "lr": 1e-05, "memory": 22018, "data_time": 0.00958, "decode.loss_seg": 0.18293, "decode.acc_seg": 74.94196, "aux.loss_seg": 0.15142, "aux.acc_seg": 69.56917, "loss": 0.33435, "time": 0.40484} -{"mode": "train", "epoch": 233, "iter": 146700, "lr": 0.0, "memory": 22018, "data_time": 0.00963, "decode.loss_seg": 0.17931, "decode.acc_seg": 74.58192, "aux.loss_seg": 0.14906, "aux.acc_seg": 69.34317, "loss": 0.32837, "time": 0.40358} -{"mode": "train", "epoch": 233, "iter": 146750, "lr": 0.0, "memory": 22018, "data_time": 0.00934, "decode.loss_seg": 0.17214, "decode.acc_seg": 74.63701, "aux.loss_seg": 0.14732, "aux.acc_seg": 69.22195, "loss": 0.31947, "time": 0.40302} -{"mode": "train", "epoch": 233, "iter": 146800, "lr": 0.0, "memory": 22018, "data_time": 0.00971, "decode.loss_seg": 0.17808, "decode.acc_seg": 74.08768, "aux.loss_seg": 0.1487, "aux.acc_seg": 68.79203, "loss": 0.32678, "time": 0.40384} -{"mode": "train", "epoch": 233, "iter": 146850, "lr": 0.0, "memory": 22018, "data_time": 0.01, "decode.loss_seg": 0.17189, "decode.acc_seg": 75.07247, "aux.loss_seg": 0.14737, "aux.acc_seg": 69.62716, "loss": 0.31926, "time": 0.404} -{"mode": "train", "epoch": 233, "iter": 146900, "lr": 0.0, "memory": 22018, "data_time": 0.00936, "decode.loss_seg": 0.17814, "decode.acc_seg": 75.70218, "aux.loss_seg": 0.15104, "aux.acc_seg": 70.19242, "loss": 0.32918, "time": 0.40304} -{"mode": "train", "epoch": 233, "iter": 146950, "lr": 0.0, "memory": 22018, "data_time": 0.00904, "decode.loss_seg": 0.17462, "decode.acc_seg": 75.90992, "aux.loss_seg": 0.14927, "aux.acc_seg": 70.50639, "loss": 0.32389, "time": 0.40199} -{"mode": "train", "epoch": 233, "iter": 147000, "lr": 0.0, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.17286, "decode.acc_seg": 74.10143, "aux.loss_seg": 0.14568, "aux.acc_seg": 68.95408, "loss": 0.31854, "time": 0.40395} -{"mode": "train", "epoch": 234, "iter": 147050, "lr": 0.0, "memory": 22018, "data_time": 0.17615, "decode.loss_seg": 0.17122, "decode.acc_seg": 75.64655, "aux.loss_seg": 0.14593, "aux.acc_seg": 70.49497, "loss": 0.31715, "time": 0.57067} -{"mode": "train", "epoch": 234, "iter": 147100, "lr": 0.0, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.17869, "decode.acc_seg": 74.66131, "aux.loss_seg": 0.15075, "aux.acc_seg": 69.25247, "loss": 0.32943, "time": 0.40345} -{"mode": "train", "epoch": 234, "iter": 147150, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.1736, "decode.acc_seg": 74.90032, "aux.loss_seg": 0.14942, "aux.acc_seg": 69.4375, "loss": 0.32302, "time": 0.40367} -{"mode": "train", "epoch": 234, "iter": 147200, "lr": 0.0, "memory": 22018, "data_time": 0.00871, "decode.loss_seg": 0.1753, "decode.acc_seg": 75.02046, "aux.loss_seg": 0.14799, "aux.acc_seg": 69.70178, "loss": 0.32329, "time": 0.40348} -{"mode": "train", "epoch": 234, "iter": 147250, "lr": 0.0, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.18077, "decode.acc_seg": 74.40851, "aux.loss_seg": 0.15236, "aux.acc_seg": 69.04165, "loss": 0.33313, "time": 0.404} -{"mode": "train", "epoch": 234, "iter": 147300, "lr": 0.0, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.16808, "decode.acc_seg": 74.87338, "aux.loss_seg": 0.13966, "aux.acc_seg": 69.81827, "loss": 0.30774, "time": 0.40505} -{"mode": "train", "epoch": 234, "iter": 147350, "lr": 0.0, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.1685, "decode.acc_seg": 75.57477, "aux.loss_seg": 0.14533, "aux.acc_seg": 70.2927, "loss": 0.31383, "time": 0.40232} -{"mode": "train", "epoch": 234, "iter": 147400, "lr": 0.0, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17354, "decode.acc_seg": 73.7197, "aux.loss_seg": 0.14889, "aux.acc_seg": 68.16083, "loss": 0.32243, "time": 0.40358} -{"mode": "train", "epoch": 234, "iter": 147450, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.18009, "decode.acc_seg": 75.0544, "aux.loss_seg": 0.15532, "aux.acc_seg": 69.24597, "loss": 0.3354, "time": 0.40307} -{"mode": "train", "epoch": 234, "iter": 147500, "lr": 0.0, "memory": 22018, "data_time": 0.00729, "decode.loss_seg": 0.17238, "decode.acc_seg": 75.03831, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.78363, "loss": 0.31979, "time": 0.40158} -{"mode": "train", "epoch": 234, "iter": 147550, "lr": 0.0, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.17769, "decode.acc_seg": 75.19053, "aux.loss_seg": 0.14902, "aux.acc_seg": 69.98137, "loss": 0.3267, "time": 0.40204} -{"mode": "train", "epoch": 234, "iter": 147600, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17759, "decode.acc_seg": 75.01265, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.62195, "loss": 0.32912, "time": 0.40244} -{"mode": "train", "epoch": 234, "iter": 147650, "lr": 0.0, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17556, "decode.acc_seg": 74.97858, "aux.loss_seg": 0.1517, "aux.acc_seg": 69.35972, "loss": 0.32726, "time": 0.40247} -{"mode": "train", "epoch": 235, "iter": 147700, "lr": 0.0, "memory": 22018, "data_time": 0.17254, "decode.loss_seg": 0.1722, "decode.acc_seg": 75.41758, "aux.loss_seg": 0.14684, "aux.acc_seg": 70.02942, "loss": 0.31903, "time": 0.56584} -{"mode": "train", "epoch": 235, "iter": 147750, "lr": 0.0, "memory": 22018, "data_time": 0.0073, "decode.loss_seg": 0.17667, "decode.acc_seg": 74.65119, "aux.loss_seg": 0.15136, "aux.acc_seg": 69.19576, "loss": 0.32802, "time": 0.40191} -{"mode": "train", "epoch": 235, "iter": 147800, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17334, "decode.acc_seg": 74.89776, "aux.loss_seg": 0.15109, "aux.acc_seg": 69.3291, "loss": 0.32442, "time": 0.40219} -{"mode": "train", "epoch": 235, "iter": 147850, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.17474, "decode.acc_seg": 74.63349, "aux.loss_seg": 0.14791, "aux.acc_seg": 69.36294, "loss": 0.32265, "time": 0.40286} -{"mode": "train", "epoch": 235, "iter": 147900, "lr": 0.0, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.18474, "decode.acc_seg": 75.89041, "aux.loss_seg": 0.15738, "aux.acc_seg": 70.04728, "loss": 0.34212, "time": 0.40223} -{"mode": "train", "epoch": 235, "iter": 147950, "lr": 0.0, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17709, "decode.acc_seg": 75.01228, "aux.loss_seg": 0.15398, "aux.acc_seg": 69.20437, "loss": 0.33107, "time": 0.40129} -{"mode": "train", "epoch": 235, "iter": 148000, "lr": 0.0, "memory": 22018, "data_time": 0.00829, "decode.loss_seg": 0.16887, "decode.acc_seg": 75.28133, "aux.loss_seg": 0.14747, "aux.acc_seg": 69.87361, "loss": 0.31634, "time": 0.40225} -{"mode": "train", "epoch": 235, "iter": 148050, "lr": 0.0, "memory": 22018, "data_time": 0.00801, "decode.loss_seg": 0.17694, "decode.acc_seg": 74.38696, "aux.loss_seg": 0.14772, "aux.acc_seg": 69.1414, "loss": 0.32466, "time": 0.40124} -{"mode": "train", "epoch": 235, "iter": 148100, "lr": 0.0, "memory": 22018, "data_time": 0.00833, "decode.loss_seg": 0.18176, "decode.acc_seg": 74.18395, "aux.loss_seg": 0.15487, "aux.acc_seg": 68.53517, "loss": 0.33662, "time": 0.40151} -{"mode": "train", "epoch": 235, "iter": 148150, "lr": 0.0, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17887, "decode.acc_seg": 75.26665, "aux.loss_seg": 0.15349, "aux.acc_seg": 69.72906, "loss": 0.33236, "time": 0.40127} -{"mode": "train", "epoch": 235, "iter": 148200, "lr": 0.0, "memory": 22018, "data_time": 0.0081, "decode.loss_seg": 0.17274, "decode.acc_seg": 75.15967, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.77703, "loss": 0.32015, "time": 0.40443} -{"mode": "train", "epoch": 235, "iter": 148250, "lr": 0.0, "memory": 22018, "data_time": 0.00831, "decode.loss_seg": 0.18036, "decode.acc_seg": 75.86688, "aux.loss_seg": 0.14958, "aux.acc_seg": 70.57949, "loss": 0.32993, "time": 0.40168} -{"mode": "train", "epoch": 236, "iter": 148300, "lr": 0.0, "memory": 22018, "data_time": 0.1814, "decode.loss_seg": 0.17562, "decode.acc_seg": 75.45695, "aux.loss_seg": 0.14684, "aux.acc_seg": 70.25502, "loss": 0.32246, "time": 0.576} -{"mode": "train", "epoch": 236, "iter": 148350, "lr": 0.0, "memory": 22018, "data_time": 0.00862, "decode.loss_seg": 0.16771, "decode.acc_seg": 74.6566, "aux.loss_seg": 0.14163, "aux.acc_seg": 69.61282, "loss": 0.30934, "time": 0.40137} -{"mode": "train", "epoch": 236, "iter": 148400, "lr": 0.0, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.1729, "decode.acc_seg": 73.82861, "aux.loss_seg": 0.14613, "aux.acc_seg": 68.47554, "loss": 0.31902, "time": 0.40209} -{"mode": "train", "epoch": 236, "iter": 148450, "lr": 0.0, "memory": 22018, "data_time": 0.00795, "decode.loss_seg": 0.17691, "decode.acc_seg": 74.75614, "aux.loss_seg": 0.14827, "aux.acc_seg": 69.37555, "loss": 0.32518, "time": 0.40086} -{"mode": "train", "epoch": 236, "iter": 148500, "lr": 0.0, "memory": 22018, "data_time": 0.00846, "decode.loss_seg": 0.17528, "decode.acc_seg": 75.54598, "aux.loss_seg": 0.15601, "aux.acc_seg": 69.68313, "loss": 0.33129, "time": 0.40304} -{"mode": "train", "epoch": 236, "iter": 148550, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.17532, "decode.acc_seg": 74.99954, "aux.loss_seg": 0.15215, "aux.acc_seg": 69.33302, "loss": 0.32747, "time": 0.40199} -{"mode": "train", "epoch": 236, "iter": 148600, "lr": 0.0, "memory": 22018, "data_time": 0.00802, "decode.loss_seg": 0.17903, "decode.acc_seg": 75.38863, "aux.loss_seg": 0.15052, "aux.acc_seg": 69.90048, "loss": 0.32956, "time": 0.40215} -{"mode": "train", "epoch": 236, "iter": 148650, "lr": 0.0, "memory": 22018, "data_time": 0.0085, "decode.loss_seg": 0.17013, "decode.acc_seg": 74.64727, "aux.loss_seg": 0.14674, "aux.acc_seg": 69.16162, "loss": 0.31688, "time": 0.40131} -{"mode": "train", "epoch": 236, "iter": 148700, "lr": 0.0, "memory": 22018, "data_time": 0.00843, "decode.loss_seg": 0.18035, "decode.acc_seg": 75.75009, "aux.loss_seg": 0.15282, "aux.acc_seg": 70.3823, "loss": 0.33317, "time": 0.40151} -{"mode": "train", "epoch": 236, "iter": 148750, "lr": 0.0, "memory": 22018, "data_time": 0.00818, "decode.loss_seg": 0.17774, "decode.acc_seg": 75.1865, "aux.loss_seg": 0.14836, "aux.acc_seg": 69.92368, "loss": 0.3261, "time": 0.40218} -{"mode": "train", "epoch": 236, "iter": 148800, "lr": 0.0, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17007, "decode.acc_seg": 75.62866, "aux.loss_seg": 0.14394, "aux.acc_seg": 70.42188, "loss": 0.31401, "time": 0.40291} -{"mode": "train", "epoch": 236, "iter": 148850, "lr": 0.0, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.16965, "decode.acc_seg": 74.31363, "aux.loss_seg": 0.14608, "aux.acc_seg": 68.88791, "loss": 0.31573, "time": 0.40298} -{"mode": "train", "epoch": 236, "iter": 148900, "lr": 0.0, "memory": 22018, "data_time": 0.00891, "decode.loss_seg": 0.18345, "decode.acc_seg": 74.28219, "aux.loss_seg": 0.15223, "aux.acc_seg": 68.86532, "loss": 0.33568, "time": 0.40282} -{"mode": "train", "epoch": 237, "iter": 148950, "lr": 0.0, "memory": 22018, "data_time": 0.16794, "decode.loss_seg": 0.17629, "decode.acc_seg": 74.55203, "aux.loss_seg": 0.14866, "aux.acc_seg": 69.13253, "loss": 0.32495, "time": 0.56125} -{"mode": "train", "epoch": 237, "iter": 149000, "lr": 0.0, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.17769, "decode.acc_seg": 74.52256, "aux.loss_seg": 0.15161, "aux.acc_seg": 68.99646, "loss": 0.3293, "time": 0.40024} -{"mode": "train", "epoch": 237, "iter": 149050, "lr": 0.0, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.17087, "decode.acc_seg": 74.97814, "aux.loss_seg": 0.14536, "aux.acc_seg": 69.59499, "loss": 0.31623, "time": 0.40063} -{"mode": "train", "epoch": 237, "iter": 149100, "lr": 0.0, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.1733, "decode.acc_seg": 75.29329, "aux.loss_seg": 0.14969, "aux.acc_seg": 69.75446, "loss": 0.32299, "time": 0.40229} -{"mode": "train", "epoch": 237, "iter": 149150, "lr": 0.0, "memory": 22018, "data_time": 0.00834, "decode.loss_seg": 0.17915, "decode.acc_seg": 74.66376, "aux.loss_seg": 0.15347, "aux.acc_seg": 69.23692, "loss": 0.33262, "time": 0.40082} -{"mode": "train", "epoch": 237, "iter": 149200, "lr": 0.0, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.17965, "decode.acc_seg": 75.12927, "aux.loss_seg": 0.15246, "aux.acc_seg": 69.54916, "loss": 0.33211, "time": 0.40145} -{"mode": "train", "epoch": 237, "iter": 149250, "lr": 0.0, "memory": 22018, "data_time": 0.00806, "decode.loss_seg": 0.17921, "decode.acc_seg": 74.67321, "aux.loss_seg": 0.15081, "aux.acc_seg": 69.33245, "loss": 0.33002, "time": 0.40061} -{"mode": "train", "epoch": 237, "iter": 149300, "lr": 0.0, "memory": 22018, "data_time": 0.00757, "decode.loss_seg": 0.17971, "decode.acc_seg": 74.17781, "aux.loss_seg": 0.1476, "aux.acc_seg": 68.9172, "loss": 0.32731, "time": 0.4006} -{"mode": "train", "epoch": 237, "iter": 149350, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.16796, "decode.acc_seg": 76.01043, "aux.loss_seg": 0.14588, "aux.acc_seg": 70.7054, "loss": 0.31383, "time": 0.40148} -{"mode": "train", "epoch": 237, "iter": 149400, "lr": 0.0, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.1717, "decode.acc_seg": 75.15281, "aux.loss_seg": 0.14796, "aux.acc_seg": 69.76416, "loss": 0.31966, "time": 0.4015} -{"mode": "train", "epoch": 237, "iter": 149450, "lr": 0.0, "memory": 22018, "data_time": 0.0078, "decode.loss_seg": 0.1738, "decode.acc_seg": 73.30016, "aux.loss_seg": 0.14495, "aux.acc_seg": 68.08848, "loss": 0.31876, "time": 0.40205} -{"mode": "train", "epoch": 237, "iter": 149500, "lr": 0.0, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.17263, "decode.acc_seg": 74.78795, "aux.loss_seg": 0.14624, "aux.acc_seg": 69.39421, "loss": 0.31887, "time": 0.40227} -{"mode": "train", "epoch": 238, "iter": 149550, "lr": 0.0, "memory": 22018, "data_time": 0.16309, "decode.loss_seg": 0.17673, "decode.acc_seg": 74.06849, "aux.loss_seg": 0.14996, "aux.acc_seg": 68.62689, "loss": 0.32669, "time": 0.55712} -{"mode": "train", "epoch": 238, "iter": 149600, "lr": 0.0, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.18344, "decode.acc_seg": 74.47939, "aux.loss_seg": 0.15182, "aux.acc_seg": 69.09789, "loss": 0.33526, "time": 0.40075} -{"mode": "train", "epoch": 238, "iter": 149650, "lr": 0.0, "memory": 22018, "data_time": 0.00991, "decode.loss_seg": 0.17428, "decode.acc_seg": 74.88462, "aux.loss_seg": 0.14675, "aux.acc_seg": 69.64452, "loss": 0.32103, "time": 0.40138} -{"mode": "train", "epoch": 238, "iter": 149700, "lr": 0.0, "memory": 22018, "data_time": 0.00976, "decode.loss_seg": 0.17609, "decode.acc_seg": 75.08581, "aux.loss_seg": 0.15268, "aux.acc_seg": 69.37008, "loss": 0.32876, "time": 0.40233} -{"mode": "train", "epoch": 238, "iter": 149750, "lr": 0.0, "memory": 22018, "data_time": 0.00961, "decode.loss_seg": 0.1744, "decode.acc_seg": 74.54708, "aux.loss_seg": 0.15288, "aux.acc_seg": 68.81786, "loss": 0.32728, "time": 0.40352} -{"mode": "train", "epoch": 238, "iter": 149800, "lr": 0.0, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.17244, "decode.acc_seg": 75.71727, "aux.loss_seg": 0.14652, "aux.acc_seg": 70.391, "loss": 0.31896, "time": 0.40119} -{"mode": "train", "epoch": 238, "iter": 149850, "lr": 0.0, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.17913, "decode.acc_seg": 75.15568, "aux.loss_seg": 0.1492, "aux.acc_seg": 69.77795, "loss": 0.32833, "time": 0.40239} -{"mode": "train", "epoch": 238, "iter": 149900, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17422, "decode.acc_seg": 74.20648, "aux.loss_seg": 0.14928, "aux.acc_seg": 68.76978, "loss": 0.32349, "time": 0.40216} -{"mode": "train", "epoch": 238, "iter": 149950, "lr": 0.0, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.17424, "decode.acc_seg": 74.76939, "aux.loss_seg": 0.14773, "aux.acc_seg": 69.54655, "loss": 0.32197, "time": 0.40155} -{"mode": "train", "epoch": 238, "iter": 150000, "lr": 0.0, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.17499, "decode.acc_seg": 75.60176, "aux.loss_seg": 0.14986, "aux.acc_seg": 69.97335, "loss": 0.32486, "time": 0.40313} -{"mode": "train", "epoch": 238, "iter": 150050, "lr": 0.0, "memory": 22018, "data_time": 0.00939, "decode.loss_seg": 0.1775, "decode.acc_seg": 75.80352, "aux.loss_seg": 0.15123, "aux.acc_seg": 70.32352, "loss": 0.32873, "time": 0.40225} -{"mode": "train", "epoch": 238, "iter": 150100, "lr": 0.0, "memory": 22018, "data_time": 0.00902, "decode.loss_seg": 0.17011, "decode.acc_seg": 75.36734, "aux.loss_seg": 0.14258, "aux.acc_seg": 70.18675, "loss": 0.31269, "time": 0.40267} -{"mode": "train", "epoch": 238, "iter": 150150, "lr": 0.0, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.17334, "decode.acc_seg": 74.59919, "aux.loss_seg": 0.14705, "aux.acc_seg": 69.34047, "loss": 0.32039, "time": 0.40265} -{"mode": "train", "epoch": 239, "iter": 150200, "lr": 0.0, "memory": 22018, "data_time": 0.17769, "decode.loss_seg": 0.1689, "decode.acc_seg": 74.78782, "aux.loss_seg": 0.14312, "aux.acc_seg": 69.65364, "loss": 0.31202, "time": 0.57148} -{"mode": "train", "epoch": 239, "iter": 150250, "lr": 0.0, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.17978, "decode.acc_seg": 74.72613, "aux.loss_seg": 0.1501, "aux.acc_seg": 69.46076, "loss": 0.32987, "time": 0.4031} -{"mode": "train", "epoch": 239, "iter": 150300, "lr": 0.0, "memory": 22018, "data_time": 0.00719, "decode.loss_seg": 0.17515, "decode.acc_seg": 74.756, "aux.loss_seg": 0.14925, "aux.acc_seg": 69.33154, "loss": 0.3244, "time": 0.40031} -{"mode": "train", "epoch": 239, "iter": 150350, "lr": 0.0, "memory": 22018, "data_time": 0.00736, "decode.loss_seg": 0.173, "decode.acc_seg": 75.66847, "aux.loss_seg": 0.14668, "aux.acc_seg": 70.25093, "loss": 0.31969, "time": 0.39989} -{"mode": "train", "epoch": 239, "iter": 150400, "lr": 0.0, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.16989, "decode.acc_seg": 74.43202, "aux.loss_seg": 0.14706, "aux.acc_seg": 69.02963, "loss": 0.31696, "time": 0.40062} -{"mode": "train", "epoch": 239, "iter": 150450, "lr": 0.0, "memory": 22018, "data_time": 0.00745, "decode.loss_seg": 0.17419, "decode.acc_seg": 74.88263, "aux.loss_seg": 0.15015, "aux.acc_seg": 69.31292, "loss": 0.32435, "time": 0.39996} -{"mode": "train", "epoch": 239, "iter": 150500, "lr": 0.0, "memory": 22018, "data_time": 0.0074, "decode.loss_seg": 0.17659, "decode.acc_seg": 75.38764, "aux.loss_seg": 0.14986, "aux.acc_seg": 69.96695, "loss": 0.32645, "time": 0.40062} -{"mode": "train", "epoch": 239, "iter": 150550, "lr": 0.0, "memory": 22018, "data_time": 0.00699, "decode.loss_seg": 0.17691, "decode.acc_seg": 73.98762, "aux.loss_seg": 0.14962, "aux.acc_seg": 68.60446, "loss": 0.32653, "time": 0.39935} -{"mode": "train", "epoch": 239, "iter": 150600, "lr": 0.0, "memory": 22018, "data_time": 0.00725, "decode.loss_seg": 0.16901, "decode.acc_seg": 74.91878, "aux.loss_seg": 0.14576, "aux.acc_seg": 69.57063, "loss": 0.31476, "time": 0.39934} -{"mode": "train", "epoch": 239, "iter": 150650, "lr": 0.0, "memory": 22018, "data_time": 0.00706, "decode.loss_seg": 0.16871, "decode.acc_seg": 75.07495, "aux.loss_seg": 0.14515, "aux.acc_seg": 69.61414, "loss": 0.31386, "time": 0.39917} -{"mode": "train", "epoch": 239, "iter": 150700, "lr": 0.0, "memory": 22018, "data_time": 0.00737, "decode.loss_seg": 0.16886, "decode.acc_seg": 74.22791, "aux.loss_seg": 0.14588, "aux.acc_seg": 68.81045, "loss": 0.31473, "time": 0.40107} -{"mode": "train", "epoch": 239, "iter": 150750, "lr": 0.0, "memory": 22018, "data_time": 0.00738, "decode.loss_seg": 0.17806, "decode.acc_seg": 74.64346, "aux.loss_seg": 0.14884, "aux.acc_seg": 69.35405, "loss": 0.3269, "time": 0.39913} -{"mode": "train", "epoch": 239, "iter": 150800, "lr": 0.0, "memory": 22018, "data_time": 0.00742, "decode.loss_seg": 0.17377, "decode.acc_seg": 75.15547, "aux.loss_seg": 0.14759, "aux.acc_seg": 69.87899, "loss": 0.32136, "time": 0.39978} -{"mode": "train", "epoch": 240, "iter": 150850, "lr": 0.0, "memory": 22018, "data_time": 0.1697, "decode.loss_seg": 0.17017, "decode.acc_seg": 75.49652, "aux.loss_seg": 0.14685, "aux.acc_seg": 69.96603, "loss": 0.31702, "time": 0.56135} -{"mode": "train", "epoch": 240, "iter": 150900, "lr": 0.0, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.17351, "decode.acc_seg": 75.32737, "aux.loss_seg": 0.14731, "aux.acc_seg": 69.9808, "loss": 0.32082, "time": 0.4011} -{"mode": "train", "epoch": 240, "iter": 150950, "lr": 0.0, "memory": 22018, "data_time": 0.01003, "decode.loss_seg": 0.17494, "decode.acc_seg": 74.51594, "aux.loss_seg": 0.14686, "aux.acc_seg": 69.27516, "loss": 0.3218, "time": 0.4022} -{"mode": "train", "epoch": 240, "iter": 151000, "lr": 0.0, "memory": 22018, "data_time": 0.00937, "decode.loss_seg": 0.16833, "decode.acc_seg": 74.82304, "aux.loss_seg": 0.14386, "aux.acc_seg": 69.53698, "loss": 0.31219, "time": 0.40298} -{"mode": "train", "epoch": 240, "iter": 151050, "lr": 0.0, "memory": 22018, "data_time": 0.00893, "decode.loss_seg": 0.17071, "decode.acc_seg": 74.41854, "aux.loss_seg": 0.14527, "aux.acc_seg": 69.09688, "loss": 0.31598, "time": 0.40319} -{"mode": "train", "epoch": 240, "iter": 151100, "lr": 0.0, "memory": 22018, "data_time": 0.00931, "decode.loss_seg": 0.1713, "decode.acc_seg": 74.69732, "aux.loss_seg": 0.1464, "aux.acc_seg": 69.37766, "loss": 0.3177, "time": 0.40374} -{"mode": "train", "epoch": 240, "iter": 151150, "lr": 0.0, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.17033, "decode.acc_seg": 73.80672, "aux.loss_seg": 0.14415, "aux.acc_seg": 68.56369, "loss": 0.31448, "time": 0.40326} -{"mode": "train", "epoch": 240, "iter": 151200, "lr": 0.0, "memory": 22018, "data_time": 0.0088, "decode.loss_seg": 0.17395, "decode.acc_seg": 74.42979, "aux.loss_seg": 0.14767, "aux.acc_seg": 69.05009, "loss": 0.32162, "time": 0.40281} -{"mode": "train", "epoch": 240, "iter": 151250, "lr": 0.0, "memory": 22018, "data_time": 0.00888, "decode.loss_seg": 0.17353, "decode.acc_seg": 75.36971, "aux.loss_seg": 0.15354, "aux.acc_seg": 69.54916, "loss": 0.32707, "time": 0.40145} -{"mode": "train", "epoch": 240, "iter": 151300, "lr": 0.0, "memory": 22018, "data_time": 0.00884, "decode.loss_seg": 0.1766, "decode.acc_seg": 74.93685, "aux.loss_seg": 0.15004, "aux.acc_seg": 69.47084, "loss": 0.32664, "time": 0.40235} -{"mode": "train", "epoch": 240, "iter": 151350, "lr": 0.0, "memory": 22018, "data_time": 0.00915, "decode.loss_seg": 0.17162, "decode.acc_seg": 74.39374, "aux.loss_seg": 0.14277, "aux.acc_seg": 69.147, "loss": 0.31439, "time": 0.40233} -{"mode": "train", "epoch": 240, "iter": 151400, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17583, "decode.acc_seg": 74.93073, "aux.loss_seg": 0.14883, "aux.acc_seg": 69.49271, "loss": 0.32466, "time": 0.40211} -{"mode": "train", "epoch": 241, "iter": 151450, "lr": 0.0, "memory": 22018, "data_time": 0.17908, "decode.loss_seg": 0.18179, "decode.acc_seg": 74.80906, "aux.loss_seg": 0.15321, "aux.acc_seg": 69.41652, "loss": 0.335, "time": 0.5734} -{"mode": "train", "epoch": 241, "iter": 151500, "lr": 0.0, "memory": 22018, "data_time": 0.00855, "decode.loss_seg": 0.17763, "decode.acc_seg": 75.19149, "aux.loss_seg": 0.14984, "aux.acc_seg": 69.76986, "loss": 0.32747, "time": 0.40095} -{"mode": "train", "epoch": 241, "iter": 151550, "lr": 0.0, "memory": 22018, "data_time": 0.00912, "decode.loss_seg": 0.17856, "decode.acc_seg": 75.15461, "aux.loss_seg": 0.14533, "aux.acc_seg": 69.98567, "loss": 0.32389, "time": 0.40208} -{"mode": "train", "epoch": 241, "iter": 151600, "lr": 0.0, "memory": 22018, "data_time": 0.00876, "decode.loss_seg": 0.17335, "decode.acc_seg": 75.40619, "aux.loss_seg": 0.14885, "aux.acc_seg": 69.93062, "loss": 0.3222, "time": 0.40298} -{"mode": "train", "epoch": 241, "iter": 151650, "lr": 0.0, "memory": 22018, "data_time": 0.00962, "decode.loss_seg": 0.17373, "decode.acc_seg": 74.11996, "aux.loss_seg": 0.14715, "aux.acc_seg": 68.77342, "loss": 0.32088, "time": 0.4032} -{"mode": "train", "epoch": 241, "iter": 151700, "lr": 0.0, "memory": 22018, "data_time": 0.0092, "decode.loss_seg": 0.17706, "decode.acc_seg": 75.12297, "aux.loss_seg": 0.15021, "aux.acc_seg": 69.76593, "loss": 0.32727, "time": 0.40275} -{"mode": "train", "epoch": 241, "iter": 151750, "lr": 0.0, "memory": 22018, "data_time": 0.00882, "decode.loss_seg": 0.18055, "decode.acc_seg": 74.45629, "aux.loss_seg": 0.15327, "aux.acc_seg": 68.89064, "loss": 0.33382, "time": 0.40266} -{"mode": "train", "epoch": 241, "iter": 151800, "lr": 0.0, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.17367, "decode.acc_seg": 74.9497, "aux.loss_seg": 0.14253, "aux.acc_seg": 69.89943, "loss": 0.3162, "time": 0.40109} -{"mode": "train", "epoch": 241, "iter": 151850, "lr": 0.0, "memory": 22018, "data_time": 0.00892, "decode.loss_seg": 0.17322, "decode.acc_seg": 75.40182, "aux.loss_seg": 0.14598, "aux.acc_seg": 70.20879, "loss": 0.3192, "time": 0.40144} -{"mode": "train", "epoch": 241, "iter": 151900, "lr": 0.0, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.17197, "decode.acc_seg": 75.17841, "aux.loss_seg": 0.15306, "aux.acc_seg": 69.38052, "loss": 0.32502, "time": 0.40259} -{"mode": "train", "epoch": 241, "iter": 151950, "lr": 0.0, "memory": 22018, "data_time": 0.00985, "decode.loss_seg": 0.17204, "decode.acc_seg": 74.89848, "aux.loss_seg": 0.14486, "aux.acc_seg": 69.64708, "loss": 0.31691, "time": 0.40211} -{"mode": "train", "epoch": 241, "iter": 152000, "lr": 0.0, "memory": 22018, "data_time": 0.00968, "decode.loss_seg": 0.17403, "decode.acc_seg": 75.20887, "aux.loss_seg": 0.15036, "aux.acc_seg": 69.68475, "loss": 0.3244, "time": 0.40208} -{"mode": "train", "epoch": 241, "iter": 152050, "lr": 0.0, "memory": 22018, "data_time": 0.00924, "decode.loss_seg": 0.17544, "decode.acc_seg": 74.94695, "aux.loss_seg": 0.14851, "aux.acc_seg": 69.58406, "loss": 0.32396, "time": 0.40277} -{"mode": "train", "epoch": 242, "iter": 152100, "lr": 0.0, "memory": 22018, "data_time": 0.17281, "decode.loss_seg": 0.17965, "decode.acc_seg": 74.71778, "aux.loss_seg": 0.15339, "aux.acc_seg": 69.14763, "loss": 0.33304, "time": 0.56871} -{"mode": "train", "epoch": 242, "iter": 152150, "lr": 0.0, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.17167, "decode.acc_seg": 75.2486, "aux.loss_seg": 0.14781, "aux.acc_seg": 69.74388, "loss": 0.31948, "time": 0.40257} -{"mode": "train", "epoch": 242, "iter": 152200, "lr": 0.0, "memory": 22018, "data_time": 0.00918, "decode.loss_seg": 0.17556, "decode.acc_seg": 75.16083, "aux.loss_seg": 0.15177, "aux.acc_seg": 69.55158, "loss": 0.32733, "time": 0.40102} -{"mode": "train", "epoch": 242, "iter": 152250, "lr": 0.0, "memory": 22018, "data_time": 0.00816, "decode.loss_seg": 0.17046, "decode.acc_seg": 74.484, "aux.loss_seg": 0.14613, "aux.acc_seg": 69.00759, "loss": 0.31659, "time": 0.4027} -{"mode": "train", "epoch": 242, "iter": 152300, "lr": 0.0, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.1751, "decode.acc_seg": 74.91912, "aux.loss_seg": 0.14748, "aux.acc_seg": 69.56526, "loss": 0.32258, "time": 0.40247} -{"mode": "train", "epoch": 242, "iter": 152350, "lr": 0.0, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.1718, "decode.acc_seg": 74.9789, "aux.loss_seg": 0.14933, "aux.acc_seg": 69.58441, "loss": 0.32113, "time": 0.40157} -{"mode": "train", "epoch": 242, "iter": 152400, "lr": 0.0, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.17511, "decode.acc_seg": 75.2098, "aux.loss_seg": 0.15297, "aux.acc_seg": 69.51353, "loss": 0.32808, "time": 0.40327} -{"mode": "train", "epoch": 242, "iter": 152450, "lr": 0.0, "memory": 22018, "data_time": 0.00744, "decode.loss_seg": 0.17115, "decode.acc_seg": 74.8829, "aux.loss_seg": 0.14814, "aux.acc_seg": 69.25245, "loss": 0.31929, "time": 0.40272} -{"mode": "train", "epoch": 242, "iter": 152500, "lr": 0.0, "memory": 22018, "data_time": 0.00748, "decode.loss_seg": 0.17039, "decode.acc_seg": 73.91421, "aux.loss_seg": 0.14384, "aux.acc_seg": 68.71425, "loss": 0.31422, "time": 0.40244} -{"mode": "train", "epoch": 242, "iter": 152550, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17537, "decode.acc_seg": 74.8877, "aux.loss_seg": 0.14583, "aux.acc_seg": 69.71016, "loss": 0.3212, "time": 0.40184} -{"mode": "train", "epoch": 242, "iter": 152600, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17151, "decode.acc_seg": 74.37113, "aux.loss_seg": 0.14477, "aux.acc_seg": 69.18249, "loss": 0.31629, "time": 0.40226} -{"mode": "train", "epoch": 242, "iter": 152650, "lr": 0.0, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.17895, "decode.acc_seg": 73.70583, "aux.loss_seg": 0.1497, "aux.acc_seg": 68.39584, "loss": 0.32865, "time": 0.40101} -{"mode": "train", "epoch": 242, "iter": 152700, "lr": 0.0, "memory": 22018, "data_time": 0.00861, "decode.loss_seg": 0.1713, "decode.acc_seg": 75.98496, "aux.loss_seg": 0.14406, "aux.acc_seg": 70.76083, "loss": 0.31536, "time": 0.40174} -{"mode": "train", "epoch": 243, "iter": 152750, "lr": 0.0, "memory": 22018, "data_time": 0.18641, "decode.loss_seg": 0.17793, "decode.acc_seg": 74.79391, "aux.loss_seg": 0.15405, "aux.acc_seg": 69.10185, "loss": 0.33198, "time": 0.5786} -{"mode": "train", "epoch": 243, "iter": 152800, "lr": 0.0, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17039, "decode.acc_seg": 74.40702, "aux.loss_seg": 0.14431, "aux.acc_seg": 69.19346, "loss": 0.3147, "time": 0.39979} -{"mode": "train", "epoch": 243, "iter": 152850, "lr": 0.0, "memory": 22018, "data_time": 0.0077, "decode.loss_seg": 0.17128, "decode.acc_seg": 74.98039, "aux.loss_seg": 0.14566, "aux.acc_seg": 69.7381, "loss": 0.31693, "time": 0.40019} -{"mode": "train", "epoch": 243, "iter": 152900, "lr": 0.0, "memory": 22018, "data_time": 0.00767, "decode.loss_seg": 0.17094, "decode.acc_seg": 75.0697, "aux.loss_seg": 0.14327, "aux.acc_seg": 69.97441, "loss": 0.31421, "time": 0.40097} -{"mode": "train", "epoch": 243, "iter": 152950, "lr": 0.0, "memory": 22018, "data_time": 0.00807, "decode.loss_seg": 0.1754, "decode.acc_seg": 74.4485, "aux.loss_seg": 0.15093, "aux.acc_seg": 69.03983, "loss": 0.32633, "time": 0.40025} -{"mode": "train", "epoch": 243, "iter": 153000, "lr": 0.0, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.1761, "decode.acc_seg": 75.43867, "aux.loss_seg": 0.14543, "aux.acc_seg": 70.28864, "loss": 0.32153, "time": 0.3999} -{"mode": "train", "epoch": 243, "iter": 153050, "lr": 0.0, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.16865, "decode.acc_seg": 75.19045, "aux.loss_seg": 0.14808, "aux.acc_seg": 69.60653, "loss": 0.31673, "time": 0.40178} -{"mode": "train", "epoch": 243, "iter": 153100, "lr": 0.0, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.17585, "decode.acc_seg": 75.32437, "aux.loss_seg": 0.15387, "aux.acc_seg": 69.66471, "loss": 0.32971, "time": 0.40124} -{"mode": "train", "epoch": 243, "iter": 153150, "lr": 0.0, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.17306, "decode.acc_seg": 74.72478, "aux.loss_seg": 0.14658, "aux.acc_seg": 69.45055, "loss": 0.31964, "time": 0.40238} -{"mode": "train", "epoch": 243, "iter": 153200, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.18708, "decode.acc_seg": 74.89016, "aux.loss_seg": 0.15658, "aux.acc_seg": 69.21385, "loss": 0.34366, "time": 0.40274} -{"mode": "train", "epoch": 243, "iter": 153250, "lr": 0.0, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.1697, "decode.acc_seg": 75.3784, "aux.loss_seg": 0.14307, "aux.acc_seg": 70.20321, "loss": 0.31277, "time": 0.40175} -{"mode": "train", "epoch": 243, "iter": 153300, "lr": 0.0, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.17942, "decode.acc_seg": 74.71489, "aux.loss_seg": 0.14624, "aux.acc_seg": 69.61591, "loss": 0.32566, "time": 0.40214} -{"mode": "train", "epoch": 244, "iter": 153350, "lr": 0.0, "memory": 22018, "data_time": 0.17792, "decode.loss_seg": 0.17499, "decode.acc_seg": 75.80053, "aux.loss_seg": 0.14993, "aux.acc_seg": 70.35013, "loss": 0.32492, "time": 0.57287} -{"mode": "train", "epoch": 244, "iter": 153400, "lr": 0.0, "memory": 22018, "data_time": 0.00873, "decode.loss_seg": 0.17029, "decode.acc_seg": 74.64802, "aux.loss_seg": 0.14578, "aux.acc_seg": 69.36739, "loss": 0.31607, "time": 0.40005} -{"mode": "train", "epoch": 244, "iter": 153450, "lr": 0.0, "memory": 22018, "data_time": 0.00932, "decode.loss_seg": 0.1816, "decode.acc_seg": 74.29518, "aux.loss_seg": 0.15324, "aux.acc_seg": 68.8042, "loss": 0.33484, "time": 0.40148} -{"mode": "train", "epoch": 244, "iter": 153500, "lr": 0.0, "memory": 22018, "data_time": 0.00898, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.28337, "aux.loss_seg": 0.14355, "aux.acc_seg": 68.86775, "loss": 0.3109, "time": 0.40226} -{"mode": "train", "epoch": 244, "iter": 153550, "lr": 0.0, "memory": 22018, "data_time": 0.00914, "decode.loss_seg": 0.17568, "decode.acc_seg": 73.6456, "aux.loss_seg": 0.15258, "aux.acc_seg": 67.91233, "loss": 0.32826, "time": 0.40364} -{"mode": "train", "epoch": 244, "iter": 153600, "lr": 0.0, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.17456, "decode.acc_seg": 75.30431, "aux.loss_seg": 0.14917, "aux.acc_seg": 69.88543, "loss": 0.32372, "time": 0.40117} -{"mode": "train", "epoch": 244, "iter": 153650, "lr": 0.0, "memory": 22018, "data_time": 0.00994, "decode.loss_seg": 0.17367, "decode.acc_seg": 75.8693, "aux.loss_seg": 0.14646, "aux.acc_seg": 70.57093, "loss": 0.32014, "time": 0.40267} -{"mode": "train", "epoch": 244, "iter": 153700, "lr": 0.0, "memory": 22018, "data_time": 0.00943, "decode.loss_seg": 0.17962, "decode.acc_seg": 74.68252, "aux.loss_seg": 0.15155, "aux.acc_seg": 69.17998, "loss": 0.33117, "time": 0.40171} -{"mode": "train", "epoch": 244, "iter": 153750, "lr": 0.0, "memory": 22018, "data_time": 0.00878, "decode.loss_seg": 0.17045, "decode.acc_seg": 74.2964, "aux.loss_seg": 0.14961, "aux.acc_seg": 68.67685, "loss": 0.32007, "time": 0.40392} -{"mode": "train", "epoch": 244, "iter": 153800, "lr": 0.0, "memory": 22018, "data_time": 0.009, "decode.loss_seg": 0.17156, "decode.acc_seg": 75.24778, "aux.loss_seg": 0.14757, "aux.acc_seg": 69.71843, "loss": 0.31913, "time": 0.40228} -{"mode": "train", "epoch": 244, "iter": 153850, "lr": 0.0, "memory": 22018, "data_time": 0.0091, "decode.loss_seg": 0.1638, "decode.acc_seg": 76.07853, "aux.loss_seg": 0.14136, "aux.acc_seg": 70.92337, "loss": 0.30516, "time": 0.40279} -{"mode": "train", "epoch": 244, "iter": 153900, "lr": 0.0, "memory": 22018, "data_time": 0.0087, "decode.loss_seg": 0.17073, "decode.acc_seg": 74.72768, "aux.loss_seg": 0.1483, "aux.acc_seg": 69.24104, "loss": 0.31904, "time": 0.40241} -{"mode": "train", "epoch": 244, "iter": 153950, "lr": 0.0, "memory": 22018, "data_time": 0.00897, "decode.loss_seg": 0.1748, "decode.acc_seg": 74.88963, "aux.loss_seg": 0.1512, "aux.acc_seg": 69.27612, "loss": 0.326, "time": 0.40232} -{"mode": "train", "epoch": 245, "iter": 154000, "lr": 0.0, "memory": 22018, "data_time": 0.17714, "decode.loss_seg": 0.16732, "decode.acc_seg": 75.10776, "aux.loss_seg": 0.14226, "aux.acc_seg": 69.97374, "loss": 0.30958, "time": 0.56959} -{"mode": "train", "epoch": 245, "iter": 154050, "lr": 0.0, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.17074, "decode.acc_seg": 74.0877, "aux.loss_seg": 0.14462, "aux.acc_seg": 68.78547, "loss": 0.31536, "time": 0.40187} -{"mode": "train", "epoch": 245, "iter": 154100, "lr": 0.0, "memory": 22018, "data_time": 0.00883, "decode.loss_seg": 0.17499, "decode.acc_seg": 75.15191, "aux.loss_seg": 0.1469, "aux.acc_seg": 69.88108, "loss": 0.32189, "time": 0.40231} -{"mode": "train", "epoch": 245, "iter": 154150, "lr": 0.0, "memory": 22018, "data_time": 0.00941, "decode.loss_seg": 0.18073, "decode.acc_seg": 73.90691, "aux.loss_seg": 0.15577, "aux.acc_seg": 68.20892, "loss": 0.3365, "time": 0.40286} -{"mode": "train", "epoch": 245, "iter": 154200, "lr": 0.0, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.17003, "decode.acc_seg": 74.50733, "aux.loss_seg": 0.14599, "aux.acc_seg": 69.12241, "loss": 0.31602, "time": 0.403} -{"mode": "train", "epoch": 245, "iter": 154250, "lr": 0.0, "memory": 22018, "data_time": 0.00899, "decode.loss_seg": 0.18073, "decode.acc_seg": 75.93377, "aux.loss_seg": 0.15064, "aux.acc_seg": 70.67107, "loss": 0.33137, "time": 0.40335} -{"mode": "train", "epoch": 245, "iter": 154300, "lr": 0.0, "memory": 22018, "data_time": 0.00872, "decode.loss_seg": 0.17229, "decode.acc_seg": 75.33356, "aux.loss_seg": 0.14467, "aux.acc_seg": 70.14487, "loss": 0.31696, "time": 0.40272} -{"mode": "train", "epoch": 245, "iter": 154350, "lr": 0.0, "memory": 22018, "data_time": 0.00823, "decode.loss_seg": 0.17648, "decode.acc_seg": 74.26083, "aux.loss_seg": 0.15174, "aux.acc_seg": 68.64953, "loss": 0.32822, "time": 0.40202} -{"mode": "train", "epoch": 245, "iter": 154400, "lr": 0.0, "memory": 22018, "data_time": 0.00907, "decode.loss_seg": 0.17088, "decode.acc_seg": 74.64632, "aux.loss_seg": 0.14684, "aux.acc_seg": 69.3304, "loss": 0.31773, "time": 0.40371} -{"mode": "train", "epoch": 245, "iter": 154450, "lr": 0.0, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.18083, "decode.acc_seg": 74.71812, "aux.loss_seg": 0.15159, "aux.acc_seg": 69.40212, "loss": 0.33243, "time": 0.40293} -{"mode": "train", "epoch": 245, "iter": 154500, "lr": 0.0, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17655, "decode.acc_seg": 75.72458, "aux.loss_seg": 0.15021, "aux.acc_seg": 70.16443, "loss": 0.32676, "time": 0.40196} -{"mode": "train", "epoch": 245, "iter": 154550, "lr": 0.0, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.17446, "decode.acc_seg": 74.63622, "aux.loss_seg": 0.15129, "aux.acc_seg": 69.05303, "loss": 0.32575, "time": 0.40165} -{"mode": "train", "epoch": 246, "iter": 154600, "lr": 0.0, "memory": 22018, "data_time": 0.16739, "decode.loss_seg": 0.17044, "decode.acc_seg": 75.68348, "aux.loss_seg": 0.14466, "aux.acc_seg": 70.35467, "loss": 0.31511, "time": 0.56158} -{"mode": "train", "epoch": 246, "iter": 154650, "lr": 0.0, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.64611, "aux.loss_seg": 0.15314, "aux.acc_seg": 69.03962, "loss": 0.33136, "time": 0.40271} -{"mode": "train", "epoch": 246, "iter": 154700, "lr": 0.0, "memory": 22018, "data_time": 0.00813, "decode.loss_seg": 0.17256, "decode.acc_seg": 73.04071, "aux.loss_seg": 0.14615, "aux.acc_seg": 67.84723, "loss": 0.31872, "time": 0.40187} -{"mode": "train", "epoch": 246, "iter": 154750, "lr": 0.0, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.16868, "decode.acc_seg": 75.47376, "aux.loss_seg": 0.14612, "aux.acc_seg": 69.99818, "loss": 0.3148, "time": 0.4035} -{"mode": "train", "epoch": 246, "iter": 154800, "lr": 0.0, "memory": 22018, "data_time": 0.00777, "decode.loss_seg": 0.17007, "decode.acc_seg": 74.91854, "aux.loss_seg": 0.1422, "aux.acc_seg": 69.88394, "loss": 0.31227, "time": 0.40285} -{"mode": "train", "epoch": 246, "iter": 154850, "lr": 0.0, "memory": 22018, "data_time": 0.00789, "decode.loss_seg": 0.17961, "decode.acc_seg": 74.86658, "aux.loss_seg": 0.15291, "aux.acc_seg": 69.32424, "loss": 0.33252, "time": 0.40249} -{"mode": "train", "epoch": 246, "iter": 154900, "lr": 0.0, "memory": 22018, "data_time": 0.00778, "decode.loss_seg": 0.17513, "decode.acc_seg": 74.95903, "aux.loss_seg": 0.14621, "aux.acc_seg": 69.77311, "loss": 0.32133, "time": 0.40198} -{"mode": "train", "epoch": 246, "iter": 154950, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17369, "decode.acc_seg": 75.27434, "aux.loss_seg": 0.1456, "aux.acc_seg": 70.1478, "loss": 0.31929, "time": 0.40276} -{"mode": "train", "epoch": 246, "iter": 155000, "lr": 0.0, "memory": 22018, "data_time": 0.00761, "decode.loss_seg": 0.17321, "decode.acc_seg": 75.21531, "aux.loss_seg": 0.1479, "aux.acc_seg": 69.9439, "loss": 0.32111, "time": 0.40271} -{"mode": "train", "epoch": 246, "iter": 155050, "lr": 0.0, "memory": 22018, "data_time": 0.00722, "decode.loss_seg": 0.17656, "decode.acc_seg": 74.92034, "aux.loss_seg": 0.14837, "aux.acc_seg": 69.52051, "loss": 0.32493, "time": 0.40245} -{"mode": "train", "epoch": 246, "iter": 155100, "lr": 0.0, "memory": 22018, "data_time": 0.00759, "decode.loss_seg": 0.16973, "decode.acc_seg": 75.03335, "aux.loss_seg": 0.14709, "aux.acc_seg": 69.68256, "loss": 0.31683, "time": 0.40093} -{"mode": "train", "epoch": 246, "iter": 155150, "lr": 0.0, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.16949, "decode.acc_seg": 74.97724, "aux.loss_seg": 0.15045, "aux.acc_seg": 69.11477, "loss": 0.31995, "time": 0.40197} -{"mode": "train", "epoch": 246, "iter": 155200, "lr": 0.0, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.17672, "decode.acc_seg": 74.5996, "aux.loss_seg": 0.14973, "aux.acc_seg": 69.19577, "loss": 0.32645, "time": 0.40252} -{"mode": "train", "epoch": 247, "iter": 155250, "lr": 0.0, "memory": 22018, "data_time": 0.17326, "decode.loss_seg": 0.16771, "decode.acc_seg": 74.23761, "aux.loss_seg": 0.14678, "aux.acc_seg": 68.85801, "loss": 0.31449, "time": 0.56711} -{"mode": "train", "epoch": 247, "iter": 155300, "lr": 0.0, "memory": 22018, "data_time": 0.00905, "decode.loss_seg": 0.17809, "decode.acc_seg": 75.10632, "aux.loss_seg": 0.15094, "aux.acc_seg": 69.66757, "loss": 0.32904, "time": 0.40133} -{"mode": "train", "epoch": 247, "iter": 155350, "lr": 0.0, "memory": 22018, "data_time": 0.00815, "decode.loss_seg": 0.17535, "decode.acc_seg": 74.90808, "aux.loss_seg": 0.15117, "aux.acc_seg": 69.43261, "loss": 0.32652, "time": 0.40181} -{"mode": "train", "epoch": 247, "iter": 155400, "lr": 0.0, "memory": 22018, "data_time": 0.00865, "decode.loss_seg": 0.175, "decode.acc_seg": 75.38617, "aux.loss_seg": 0.14673, "aux.acc_seg": 70.07748, "loss": 0.32173, "time": 0.40164} -{"mode": "train", "epoch": 247, "iter": 155450, "lr": 0.0, "memory": 22018, "data_time": 0.00828, "decode.loss_seg": 0.17252, "decode.acc_seg": 75.53518, "aux.loss_seg": 0.14611, "aux.acc_seg": 70.21295, "loss": 0.31863, "time": 0.40143} -{"mode": "train", "epoch": 247, "iter": 155500, "lr": 0.0, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.17255, "decode.acc_seg": 76.02457, "aux.loss_seg": 0.1478, "aux.acc_seg": 70.58794, "loss": 0.32035, "time": 0.40134} -{"mode": "train", "epoch": 247, "iter": 155550, "lr": 0.0, "memory": 22018, "data_time": 0.0084, "decode.loss_seg": 0.17087, "decode.acc_seg": 75.27669, "aux.loss_seg": 0.14551, "aux.acc_seg": 70.10985, "loss": 0.31638, "time": 0.40149} -{"mode": "train", "epoch": 247, "iter": 155600, "lr": 0.0, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.17785, "decode.acc_seg": 75.45294, "aux.loss_seg": 0.14973, "aux.acc_seg": 70.09385, "loss": 0.32758, "time": 0.40274} -{"mode": "train", "epoch": 247, "iter": 155650, "lr": 0.0, "memory": 22018, "data_time": 0.0082, "decode.loss_seg": 0.17719, "decode.acc_seg": 74.37996, "aux.loss_seg": 0.15137, "aux.acc_seg": 68.89046, "loss": 0.32855, "time": 0.40246} -{"mode": "train", "epoch": 247, "iter": 155700, "lr": 0.0, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.1732, "decode.acc_seg": 74.51823, "aux.loss_seg": 0.15097, "aux.acc_seg": 68.85734, "loss": 0.32417, "time": 0.40273} -{"mode": "train", "epoch": 247, "iter": 155750, "lr": 0.0, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.17271, "decode.acc_seg": 74.99949, "aux.loss_seg": 0.14411, "aux.acc_seg": 69.92148, "loss": 0.31681, "time": 0.4009} -{"mode": "train", "epoch": 247, "iter": 155800, "lr": 0.0, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.17453, "decode.acc_seg": 74.61645, "aux.loss_seg": 0.14768, "aux.acc_seg": 69.31317, "loss": 0.32221, "time": 0.40105} -{"mode": "train", "epoch": 247, "iter": 155850, "lr": 0.0, "memory": 22018, "data_time": 0.00844, "decode.loss_seg": 0.17603, "decode.acc_seg": 74.50211, "aux.loss_seg": 0.14988, "aux.acc_seg": 69.031, "loss": 0.32591, "time": 0.401} -{"mode": "train", "epoch": 248, "iter": 155900, "lr": 0.0, "memory": 22018, "data_time": 0.17389, "decode.loss_seg": 0.17567, "decode.acc_seg": 74.9962, "aux.loss_seg": 0.15164, "aux.acc_seg": 69.53148, "loss": 0.32732, "time": 0.56745} -{"mode": "train", "epoch": 248, "iter": 155950, "lr": 0.0, "memory": 22018, "data_time": 0.00974, "decode.loss_seg": 0.18046, "decode.acc_seg": 74.82979, "aux.loss_seg": 0.15592, "aux.acc_seg": 69.07782, "loss": 0.33638, "time": 0.40237} -{"mode": "train", "epoch": 248, "iter": 156000, "lr": 0.0, "memory": 22018, "data_time": 0.00986, "decode.loss_seg": 0.16829, "decode.acc_seg": 74.70155, "aux.loss_seg": 0.1406, "aux.acc_seg": 69.70872, "loss": 0.30889, "time": 0.40234} -{"mode": "train", "epoch": 248, "iter": 156050, "lr": 0.0, "memory": 22018, "data_time": 0.0098, "decode.loss_seg": 0.16722, "decode.acc_seg": 75.49778, "aux.loss_seg": 0.14743, "aux.acc_seg": 69.91656, "loss": 0.31465, "time": 0.4035} -{"mode": "train", "epoch": 248, "iter": 156100, "lr": 0.0, "memory": 22018, "data_time": 0.01015, "decode.loss_seg": 0.17366, "decode.acc_seg": 74.2203, "aux.loss_seg": 0.15045, "aux.acc_seg": 68.54812, "loss": 0.32411, "time": 0.40242} -{"mode": "train", "epoch": 248, "iter": 156150, "lr": 0.0, "memory": 22018, "data_time": 0.00903, "decode.loss_seg": 0.17941, "decode.acc_seg": 75.35481, "aux.loss_seg": 0.15217, "aux.acc_seg": 69.90339, "loss": 0.33159, "time": 0.40149} -{"mode": "train", "epoch": 248, "iter": 156200, "lr": 0.0, "memory": 22018, "data_time": 0.01012, "decode.loss_seg": 0.17518, "decode.acc_seg": 73.95146, "aux.loss_seg": 0.15115, "aux.acc_seg": 68.36676, "loss": 0.32633, "time": 0.40306} -{"mode": "train", "epoch": 248, "iter": 156250, "lr": 0.0, "memory": 22018, "data_time": 0.0096, "decode.loss_seg": 0.17444, "decode.acc_seg": 75.15196, "aux.loss_seg": 0.14825, "aux.acc_seg": 69.69947, "loss": 0.32269, "time": 0.40379} -{"mode": "train", "epoch": 248, "iter": 156300, "lr": 0.0, "memory": 22018, "data_time": 0.00972, "decode.loss_seg": 0.17726, "decode.acc_seg": 75.33381, "aux.loss_seg": 0.15066, "aux.acc_seg": 69.86557, "loss": 0.32791, "time": 0.40444} -{"mode": "train", "epoch": 248, "iter": 156350, "lr": 0.0, "memory": 22018, "data_time": 0.00916, "decode.loss_seg": 0.17133, "decode.acc_seg": 75.32921, "aux.loss_seg": 0.14681, "aux.acc_seg": 69.90505, "loss": 0.31813, "time": 0.40311} -{"mode": "train", "epoch": 248, "iter": 156400, "lr": 0.0, "memory": 22018, "data_time": 0.00875, "decode.loss_seg": 0.1717, "decode.acc_seg": 74.8616, "aux.loss_seg": 0.14396, "aux.acc_seg": 69.69929, "loss": 0.31566, "time": 0.40183} -{"mode": "train", "epoch": 248, "iter": 156450, "lr": 0.0, "memory": 22018, "data_time": 0.00879, "decode.loss_seg": 0.17309, "decode.acc_seg": 75.42054, "aux.loss_seg": 0.15033, "aux.acc_seg": 69.80119, "loss": 0.32342, "time": 0.40363} -{"mode": "train", "epoch": 249, "iter": 156500, "lr": 0.0, "memory": 22018, "data_time": 0.1822, "decode.loss_seg": 0.17867, "decode.acc_seg": 75.43449, "aux.loss_seg": 0.1519, "aux.acc_seg": 69.86583, "loss": 0.33057, "time": 0.57695} -{"mode": "train", "epoch": 249, "iter": 156550, "lr": 0.0, "memory": 22018, "data_time": 0.00763, "decode.loss_seg": 0.17134, "decode.acc_seg": 75.19474, "aux.loss_seg": 0.14972, "aux.acc_seg": 69.60169, "loss": 0.32106, "time": 0.40262} -{"mode": "train", "epoch": 249, "iter": 156600, "lr": 0.0, "memory": 22018, "data_time": 0.00753, "decode.loss_seg": 0.17196, "decode.acc_seg": 75.24038, "aux.loss_seg": 0.14312, "aux.acc_seg": 70.04982, "loss": 0.31507, "time": 0.40205} -{"mode": "train", "epoch": 249, "iter": 156650, "lr": 0.0, "memory": 22018, "data_time": 0.00808, "decode.loss_seg": 0.17081, "decode.acc_seg": 75.39008, "aux.loss_seg": 0.14699, "aux.acc_seg": 69.91449, "loss": 0.3178, "time": 0.40334} -{"mode": "train", "epoch": 249, "iter": 156700, "lr": 0.0, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17313, "decode.acc_seg": 75.18291, "aux.loss_seg": 0.15079, "aux.acc_seg": 69.75069, "loss": 0.32392, "time": 0.4032} -{"mode": "train", "epoch": 249, "iter": 156750, "lr": 0.0, "memory": 22018, "data_time": 0.00765, "decode.loss_seg": 0.17944, "decode.acc_seg": 74.36509, "aux.loss_seg": 0.15116, "aux.acc_seg": 69.02295, "loss": 0.3306, "time": 0.40229} -{"mode": "train", "epoch": 249, "iter": 156800, "lr": 0.0, "memory": 22018, "data_time": 0.00772, "decode.loss_seg": 0.17797, "decode.acc_seg": 76.27903, "aux.loss_seg": 0.14862, "aux.acc_seg": 70.90949, "loss": 0.32659, "time": 0.40318} -{"mode": "train", "epoch": 249, "iter": 156850, "lr": 0.0, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.17304, "decode.acc_seg": 75.00302, "aux.loss_seg": 0.14656, "aux.acc_seg": 69.81409, "loss": 0.31959, "time": 0.40129} -{"mode": "train", "epoch": 249, "iter": 156900, "lr": 0.0, "memory": 22018, "data_time": 0.00811, "decode.loss_seg": 0.17085, "decode.acc_seg": 74.18809, "aux.loss_seg": 0.14653, "aux.acc_seg": 68.76775, "loss": 0.31739, "time": 0.40232} -{"mode": "train", "epoch": 249, "iter": 156950, "lr": 0.0, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.17375, "decode.acc_seg": 76.03005, "aux.loss_seg": 0.14899, "aux.acc_seg": 70.63973, "loss": 0.32274, "time": 0.40182} -{"mode": "train", "epoch": 249, "iter": 157000, "lr": 0.0, "memory": 22018, "data_time": 0.00792, "decode.loss_seg": 0.17164, "decode.acc_seg": 74.92542, "aux.loss_seg": 0.14637, "aux.acc_seg": 69.55981, "loss": 0.31801, "time": 0.40242} -{"mode": "train", "epoch": 249, "iter": 157050, "lr": 0.0, "memory": 22018, "data_time": 0.0083, "decode.loss_seg": 0.17094, "decode.acc_seg": 75.29468, "aux.loss_seg": 0.14618, "aux.acc_seg": 69.88919, "loss": 0.31712, "time": 0.40267} -{"mode": "train", "epoch": 249, "iter": 157100, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.17538, "decode.acc_seg": 74.69116, "aux.loss_seg": 0.15051, "aux.acc_seg": 69.12604, "loss": 0.32589, "time": 0.40191} -{"mode": "train", "epoch": 250, "iter": 157150, "lr": 0.0, "memory": 22018, "data_time": 0.17597, "decode.loss_seg": 0.17249, "decode.acc_seg": 74.70656, "aux.loss_seg": 0.14887, "aux.acc_seg": 69.40482, "loss": 0.32136, "time": 0.57086} -{"mode": "train", "epoch": 250, "iter": 157200, "lr": 0.0, "memory": 22018, "data_time": 0.00771, "decode.loss_seg": 0.16718, "decode.acc_seg": 75.40738, "aux.loss_seg": 0.14522, "aux.acc_seg": 70.03221, "loss": 0.3124, "time": 0.40135} -{"mode": "train", "epoch": 250, "iter": 157250, "lr": 0.0, "memory": 22018, "data_time": 0.00755, "decode.loss_seg": 0.16407, "decode.acc_seg": 75.53914, "aux.loss_seg": 0.14458, "aux.acc_seg": 70.14026, "loss": 0.30865, "time": 0.40263} -{"mode": "train", "epoch": 250, "iter": 157300, "lr": 0.0, "memory": 22018, "data_time": 0.00776, "decode.loss_seg": 0.17302, "decode.acc_seg": 74.85385, "aux.loss_seg": 0.15027, "aux.acc_seg": 69.28565, "loss": 0.3233, "time": 0.40288} -{"mode": "train", "epoch": 250, "iter": 157350, "lr": 0.0, "memory": 22018, "data_time": 0.00786, "decode.loss_seg": 0.17843, "decode.acc_seg": 75.44831, "aux.loss_seg": 0.15294, "aux.acc_seg": 69.85913, "loss": 0.33137, "time": 0.4018} -{"mode": "train", "epoch": 250, "iter": 157400, "lr": 0.0, "memory": 22018, "data_time": 0.00785, "decode.loss_seg": 0.17079, "decode.acc_seg": 75.34641, "aux.loss_seg": 0.14723, "aux.acc_seg": 69.97159, "loss": 0.31802, "time": 0.4026} -{"mode": "train", "epoch": 250, "iter": 157450, "lr": 0.0, "memory": 22018, "data_time": 0.00766, "decode.loss_seg": 0.17329, "decode.acc_seg": 74.64495, "aux.loss_seg": 0.1477, "aux.acc_seg": 69.31819, "loss": 0.32099, "time": 0.40185} -{"mode": "train", "epoch": 250, "iter": 157500, "lr": 0.0, "memory": 22018, "data_time": 0.00804, "decode.loss_seg": 0.17462, "decode.acc_seg": 74.91048, "aux.loss_seg": 0.14956, "aux.acc_seg": 69.4409, "loss": 0.32418, "time": 0.40172} -{"mode": "train", "epoch": 250, "iter": 157550, "lr": 0.0, "memory": 22018, "data_time": 0.00764, "decode.loss_seg": 0.17227, "decode.acc_seg": 74.49241, "aux.loss_seg": 0.14437, "aux.acc_seg": 69.28274, "loss": 0.31664, "time": 0.40201} -{"mode": "train", "epoch": 250, "iter": 157600, "lr": 0.0, "memory": 22018, "data_time": 0.00779, "decode.loss_seg": 0.17809, "decode.acc_seg": 74.83791, "aux.loss_seg": 0.15167, "aux.acc_seg": 69.4517, "loss": 0.32976, "time": 0.40133} -{"mode": "train", "epoch": 250, "iter": 157650, "lr": 0.0, "memory": 22018, "data_time": 0.00774, "decode.loss_seg": 0.17594, "decode.acc_seg": 75.63782, "aux.loss_seg": 0.1498, "aux.acc_seg": 70.19588, "loss": 0.32575, "time": 0.40272} -{"mode": "train", "epoch": 250, "iter": 157700, "lr": 0.0, "memory": 22018, "data_time": 0.00837, "decode.loss_seg": 0.17126, "decode.acc_seg": 75.45575, "aux.loss_seg": 0.14727, "aux.acc_seg": 70.14478, "loss": 0.31853, "time": 0.40175} -{"mode": "train", "epoch": 250, "iter": 157750, "lr": 0.0, "memory": 22018, "data_time": 0.00749, "decode.loss_seg": 0.17417, "decode.acc_seg": 73.52857, "aux.loss_seg": 0.14817, "aux.acc_seg": 68.07036, "loss": 0.32234, "time": 0.40183} -{"mode": "train", "epoch": 251, "iter": 157800, "lr": 0.0, "memory": 22018, "data_time": 0.1798, "decode.loss_seg": 0.17042, "decode.acc_seg": 75.47845, "aux.loss_seg": 0.14846, "aux.acc_seg": 70.00727, "loss": 0.31888, "time": 0.57191} -{"mode": "train", "epoch": 251, "iter": 157850, "lr": 0.0, "memory": 22018, "data_time": 0.00793, "decode.loss_seg": 0.17504, "decode.acc_seg": 74.81277, "aux.loss_seg": 0.14844, "aux.acc_seg": 69.37238, "loss": 0.32348, "time": 0.39984} -{"mode": "train", "epoch": 251, "iter": 157900, "lr": 0.0, "memory": 22018, "data_time": 0.00735, "decode.loss_seg": 0.16494, "decode.acc_seg": 74.01573, "aux.loss_seg": 0.14025, "aux.acc_seg": 68.86181, "loss": 0.30519, "time": 0.4011} -{"mode": "train", "epoch": 251, "iter": 157950, "lr": 0.0, "memory": 22018, "data_time": 0.00782, "decode.loss_seg": 0.17671, "decode.acc_seg": 75.59565, "aux.loss_seg": 0.1522, "aux.acc_seg": 70.08162, "loss": 0.32891, "time": 0.40225} -{"mode": "train", "epoch": 251, "iter": 158000, "lr": 0.0, "memory": 22018, "data_time": 0.008, "decode.loss_seg": 0.17999, "decode.acc_seg": 74.30677, "aux.loss_seg": 0.15417, "aux.acc_seg": 68.71258, "loss": 0.33417, "time": 0.39924} -{"mode": "train", "epoch": 251, "iter": 158050, "lr": 0.0, "memory": 22018, "data_time": 0.00797, "decode.loss_seg": 0.17705, "decode.acc_seg": 74.30046, "aux.loss_seg": 0.14904, "aux.acc_seg": 68.96005, "loss": 0.3261, "time": 0.3992} -{"mode": "train", "epoch": 251, "iter": 158100, "lr": 0.0, "memory": 22018, "data_time": 0.00799, "decode.loss_seg": 0.16833, "decode.acc_seg": 74.51477, "aux.loss_seg": 0.14285, "aux.acc_seg": 69.38117, "loss": 0.31118, "time": 0.40004} -{"mode": "train", "epoch": 251, "iter": 158150, "lr": 0.0, "memory": 22018, "data_time": 0.00826, "decode.loss_seg": 0.17577, "decode.acc_seg": 74.66173, "aux.loss_seg": 0.149, "aux.acc_seg": 69.36815, "loss": 0.32477, "time": 0.39965} -{"mode": "train", "epoch": 251, "iter": 158200, "lr": 0.0, "memory": 22018, "data_time": 0.00817, "decode.loss_seg": 0.1724, "decode.acc_seg": 76.11962, "aux.loss_seg": 0.14604, "aux.acc_seg": 70.8139, "loss": 0.31844, "time": 0.40152} -{"mode": "train", "epoch": 251, "iter": 158250, "lr": 0.0, "memory": 22018, "data_time": 0.00781, "decode.loss_seg": 0.17382, "decode.acc_seg": 75.0406, "aux.loss_seg": 0.14917, "aux.acc_seg": 69.588, "loss": 0.32299, "time": 0.40089} -{"mode": "train", "epoch": 251, "iter": 158300, "lr": 0.0, "memory": 22018, "data_time": 0.00809, "decode.loss_seg": 0.17152, "decode.acc_seg": 75.87551, "aux.loss_seg": 0.14608, "aux.acc_seg": 70.47168, "loss": 0.3176, "time": 0.39977} -{"mode": "train", "epoch": 251, "iter": 158350, "lr": 0.0, "memory": 22018, "data_time": 0.00821, "decode.loss_seg": 0.17615, "decode.acc_seg": 74.26126, "aux.loss_seg": 0.15099, "aux.acc_seg": 68.77193, "loss": 0.32714, "time": 0.4015} -{"mode": "train", "epoch": 252, "iter": 158400, "lr": 0.0, "memory": 22018, "data_time": 0.1767, "decode.loss_seg": 0.17776, "decode.acc_seg": 75.22008, "aux.loss_seg": 0.14928, "aux.acc_seg": 69.8339, "loss": 0.32703, "time": 0.57044} -{"mode": "train", "epoch": 252, "iter": 158450, "lr": 0.0, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.17753, "decode.acc_seg": 75.15338, "aux.loss_seg": 0.15372, "aux.acc_seg": 69.68572, "loss": 0.33126, "time": 0.40122} -{"mode": "train", "epoch": 252, "iter": 158500, "lr": 0.0, "memory": 22018, "data_time": 0.0086, "decode.loss_seg": 0.16885, "decode.acc_seg": 74.96804, "aux.loss_seg": 0.14291, "aux.acc_seg": 69.50821, "loss": 0.31176, "time": 0.40099} -{"mode": "train", "epoch": 252, "iter": 158550, "lr": 0.0, "memory": 22018, "data_time": 0.00827, "decode.loss_seg": 0.17243, "decode.acc_seg": 75.61368, "aux.loss_seg": 0.14539, "aux.acc_seg": 70.41302, "loss": 0.31782, "time": 0.40166} -{"mode": "train", "epoch": 252, "iter": 158600, "lr": 0.0, "memory": 22018, "data_time": 0.00841, "decode.loss_seg": 0.17305, "decode.acc_seg": 74.20845, "aux.loss_seg": 0.14828, "aux.acc_seg": 68.78977, "loss": 0.32133, "time": 0.40418} -{"mode": "train", "epoch": 252, "iter": 158650, "lr": 0.0, "memory": 22018, "data_time": 0.00886, "decode.loss_seg": 0.16989, "decode.acc_seg": 74.8416, "aux.loss_seg": 0.14605, "aux.acc_seg": 69.40923, "loss": 0.31594, "time": 0.40543} -{"mode": "train", "epoch": 252, "iter": 158700, "lr": 0.0, "memory": 22018, "data_time": 0.00901, "decode.loss_seg": 0.17327, "decode.acc_seg": 74.21588, "aux.loss_seg": 0.1487, "aux.acc_seg": 68.80401, "loss": 0.32197, "time": 0.40414} -{"mode": "train", "epoch": 252, "iter": 158750, "lr": 0.0, "memory": 22018, "data_time": 0.00863, "decode.loss_seg": 0.17725, "decode.acc_seg": 74.98585, "aux.loss_seg": 0.15147, "aux.acc_seg": 69.50773, "loss": 0.32872, "time": 0.40449} -{"mode": "train", "epoch": 252, "iter": 158800, "lr": 0.0, "memory": 22018, "data_time": 0.00894, "decode.loss_seg": 0.166, "decode.acc_seg": 74.35224, "aux.loss_seg": 0.14669, "aux.acc_seg": 68.73781, "loss": 0.31269, "time": 0.40583} -{"mode": "train", "epoch": 252, "iter": 158850, "lr": 0.0, "memory": 22018, "data_time": 0.00881, "decode.loss_seg": 0.16933, "decode.acc_seg": 75.23071, "aux.loss_seg": 0.14683, "aux.acc_seg": 69.86629, "loss": 0.31615, "time": 0.40496} -{"mode": "train", "epoch": 252, "iter": 158900, "lr": 0.0, "memory": 22018, "data_time": 0.00825, "decode.loss_seg": 0.17449, "decode.acc_seg": 75.26274, "aux.loss_seg": 0.14892, "aux.acc_seg": 69.92733, "loss": 0.3234, "time": 0.40469} -{"mode": "train", "epoch": 252, "iter": 158950, "lr": 0.0, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.16985, "decode.acc_seg": 74.967, "aux.loss_seg": 0.14498, "aux.acc_seg": 69.50878, "loss": 0.31483, "time": 0.40476} -{"mode": "train", "epoch": 252, "iter": 159000, "lr": 0.0, "memory": 22018, "data_time": 0.00867, "decode.loss_seg": 0.1741, "decode.acc_seg": 74.7795, "aux.loss_seg": 0.14891, "aux.acc_seg": 69.40861, "loss": 0.323, "time": 0.40453} -{"mode": "train", "epoch": 253, "iter": 159050, "lr": 0.0, "memory": 22018, "data_time": 0.18377, "decode.loss_seg": 0.17129, "decode.acc_seg": 74.39222, "aux.loss_seg": 0.14759, "aux.acc_seg": 68.93148, "loss": 0.31888, "time": 0.57813} -{"mode": "train", "epoch": 253, "iter": 159100, "lr": 0.0, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.17405, "decode.acc_seg": 74.83178, "aux.loss_seg": 0.15151, "aux.acc_seg": 69.1131, "loss": 0.32556, "time": 0.40187} -{"mode": "train", "epoch": 253, "iter": 159150, "lr": 0.0, "memory": 22018, "data_time": 0.00835, "decode.loss_seg": 0.17489, "decode.acc_seg": 74.59002, "aux.loss_seg": 0.15388, "aux.acc_seg": 68.68725, "loss": 0.32877, "time": 0.40328} -{"mode": "train", "epoch": 253, "iter": 159200, "lr": 0.0, "memory": 22018, "data_time": 0.00842, "decode.loss_seg": 0.17775, "decode.acc_seg": 75.14744, "aux.loss_seg": 0.15401, "aux.acc_seg": 69.5436, "loss": 0.33176, "time": 0.40336} -{"mode": "train", "epoch": 253, "iter": 159250, "lr": 0.0, "memory": 22018, "data_time": 0.00853, "decode.loss_seg": 0.16963, "decode.acc_seg": 75.45358, "aux.loss_seg": 0.1465, "aux.acc_seg": 69.98684, "loss": 0.31613, "time": 0.40356} -{"mode": "train", "epoch": 253, "iter": 159300, "lr": 0.0, "memory": 22018, "data_time": 0.00787, "decode.loss_seg": 0.17036, "decode.acc_seg": 75.06759, "aux.loss_seg": 0.14426, "aux.acc_seg": 69.77494, "loss": 0.31462, "time": 0.40321} -{"mode": "train", "epoch": 253, "iter": 159350, "lr": 0.0, "memory": 22018, "data_time": 0.0072, "decode.loss_seg": 0.17318, "decode.acc_seg": 74.92457, "aux.loss_seg": 0.14613, "aux.acc_seg": 69.68022, "loss": 0.31931, "time": 0.40387} -{"mode": "train", "epoch": 253, "iter": 159400, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.1698, "decode.acc_seg": 74.41687, "aux.loss_seg": 0.14462, "aux.acc_seg": 69.10084, "loss": 0.31442, "time": 0.40402} -{"mode": "train", "epoch": 253, "iter": 159450, "lr": 0.0, "memory": 22018, "data_time": 0.00761, "decode.loss_seg": 0.1776, "decode.acc_seg": 75.10515, "aux.loss_seg": 0.14889, "aux.acc_seg": 69.74442, "loss": 0.32649, "time": 0.40307} -{"mode": "train", "epoch": 253, "iter": 159500, "lr": 0.0, "memory": 22018, "data_time": 0.00756, "decode.loss_seg": 0.17303, "decode.acc_seg": 75.69172, "aux.loss_seg": 0.1471, "aux.acc_seg": 70.27749, "loss": 0.32013, "time": 0.40451} -{"mode": "train", "epoch": 253, "iter": 159550, "lr": 0.0, "memory": 22018, "data_time": 0.00734, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.70394, "aux.loss_seg": 0.15353, "aux.acc_seg": 69.00628, "loss": 0.32934, "time": 0.40326} -{"mode": "train", "epoch": 253, "iter": 159600, "lr": 0.0, "memory": 22018, "data_time": 0.00723, "decode.loss_seg": 0.1708, "decode.acc_seg": 74.56163, "aux.loss_seg": 0.1475, "aux.acc_seg": 69.14166, "loss": 0.3183, "time": 0.40333} -{"mode": "train", "epoch": 254, "iter": 159650, "lr": 0.0, "memory": 22018, "data_time": 0.16863, "decode.loss_seg": 0.17567, "decode.acc_seg": 74.78098, "aux.loss_seg": 0.14687, "aux.acc_seg": 69.55413, "loss": 0.32254, "time": 0.56434} -{"mode": "train", "epoch": 254, "iter": 159700, "lr": 0.0, "memory": 22018, "data_time": 0.00805, "decode.loss_seg": 0.16912, "decode.acc_seg": 74.37575, "aux.loss_seg": 0.14703, "aux.acc_seg": 68.94532, "loss": 0.31615, "time": 0.40123} -{"mode": "train", "epoch": 254, "iter": 159750, "lr": 0.0, "memory": 22018, "data_time": 0.00851, "decode.loss_seg": 0.17141, "decode.acc_seg": 75.26364, "aux.loss_seg": 0.14555, "aux.acc_seg": 70.07714, "loss": 0.31696, "time": 0.40229} -{"mode": "train", "epoch": 254, "iter": 159800, "lr": 0.0, "memory": 22018, "data_time": 0.00836, "decode.loss_seg": 0.17317, "decode.acc_seg": 75.16637, "aux.loss_seg": 0.1469, "aux.acc_seg": 69.67911, "loss": 0.32006, "time": 0.40015} -{"mode": "train", "epoch": 254, "iter": 159850, "lr": 0.0, "memory": 22018, "data_time": 0.00822, "decode.loss_seg": 0.16779, "decode.acc_seg": 74.12576, "aux.loss_seg": 0.14708, "aux.acc_seg": 68.46339, "loss": 0.31487, "time": 0.402} -{"mode": "train", "epoch": 254, "iter": 159900, "lr": 0.0, "memory": 22018, "data_time": 0.00796, "decode.loss_seg": 0.18255, "decode.acc_seg": 74.39152, "aux.loss_seg": 0.1533, "aux.acc_seg": 69.02327, "loss": 0.33585, "time": 0.40126} -{"mode": "train", "epoch": 254, "iter": 159950, "lr": 0.0, "memory": 22018, "data_time": 0.00866, "decode.loss_seg": 0.16988, "decode.acc_seg": 75.07922, "aux.loss_seg": 0.14803, "aux.acc_seg": 69.55418, "loss": 0.31791, "time": 0.40139} -{"mode": "val", "epoch": 254, "iter": 160000, "lr": 0.0, "mIoU": 0.4621, "mAcc": 0.5762, "aAcc": 0.8171, "IoU.wall": 0.7533, "IoU.building": 0.8134, "IoU.sky": 0.9371, "IoU.floor": 0.8007, "IoU.tree": 0.7236, "IoU.ceiling": 0.8332, "IoU.road": 0.8168, "IoU.bed ": 0.8683, "IoU.windowpane": 0.5975, "IoU.grass": 0.6693, "IoU.cabinet": 0.5847, "IoU.sidewalk": 0.6321, "IoU.person": 0.7659, "IoU.earth": 0.341, "IoU.door": 0.438, "IoU.table": 0.5698, "IoU.mountain": 0.5939, "IoU.plant": 0.4957, "IoU.curtain": 0.7171, "IoU.chair": 0.53, "IoU.car": 0.8171, "IoU.water": 0.5184, "IoU.painting": 0.706, "IoU.sofa": 0.6072, "IoU.shelf": 0.381, "IoU.house": 0.4044, "IoU.sea": 0.5083, "IoU.mirror": 0.6083, "IoU.rug": 0.5729, "IoU.field": 0.3065, "IoU.armchair": 0.337, "IoU.seat": 0.5763, "IoU.fence": 0.4364, "IoU.desk": 0.4751, "IoU.rock": 0.4475, "IoU.wardrobe": 0.5072, "IoU.lamp": 0.5728, "IoU.bathtub": 0.7696, "IoU.railing": 0.3316, "IoU.cushion": 0.5255, "IoU.base": 0.2931, "IoU.box": 0.2148, "IoU.column": 0.411, "IoU.signboard": 0.34, "IoU.chest of drawers": 0.3668, "IoU.counter": 0.277, "IoU.sand": 0.3309, "IoU.sink": 0.6895, "IoU.skyscraper": 0.6893, "IoU.fireplace": NaN, "IoU.refrigerator": 0.63, "IoU.grandstand": 0.4183, "IoU.path": 0.2299, "IoU.stairs": 0.2822, "IoU.runway": 0.6383, "IoU.case": 0.3698, "IoU.pool table": 0.9108, "IoU.pillow": 0.5182, "IoU.screen door": 0.6528, "IoU.stairway": 0.2728, "IoU.river": 0.1013, "IoU.bridge": 0.6111, "IoU.bookcase": 0.4233, "IoU.blind": NaN, "IoU.coffee table": 0.5309, "IoU.toilet": 0.8308, "IoU.flower": 0.4117, "IoU.book": 0.4438, "IoU.hill": 0.131, "IoU.bench": 0.3828, "IoU.countertop": 0.5226, "IoU.stove": 0.7014, "IoU.palm": 0.437, "IoU.kitchen island": 0.3295, "IoU.computer": 0.5796, "IoU.swivel chair": 0.3852, "IoU.boat": 0.5806, "IoU.bar": 0.3525, "IoU.arcade machine": 0.3695, "IoU.hovel": 0.3236, "IoU.bus": 0.8386, "IoU.towel": 0.6119, "IoU.light": 0.5303, "IoU.truck": 0.3626, "IoU.tower": 0.085, "IoU.chandelier": 0.6283, "IoU.awning": 0.3011, "IoU.streetlight": 0.2006, "IoU.booth": 0.5542, "IoU.television receiver": NaN, "IoU.airplane": 0.5485, "IoU.dirt track": 0.2938, "IoU.apparel": 0.3593, "IoU.pole": 0.1704, "IoU.land": 0.0023, "IoU.bannister": 0.1081, "IoU.escalator": 0.2165, "IoU.ottoman": 0.3568, "IoU.bottle": NaN, "IoU.buffet": 0.384, "IoU.poster": 0.3213, "IoU.stage": 0.1738, "IoU.van": 0.4173, "IoU.ship": 0.6505, "IoU.fountain": 0.2133, "IoU.conveyer belt": 0.7455, "IoU.canopy": 0.2591, "IoU.washer": 0.6981, "IoU.plaything": 0.1922, "IoU.swimming pool": 0.6798, "IoU.stool": 0.4362, "IoU.barrel": 0.5094, "IoU.basket": 0.2446, "IoU.waterfall": 0.5159, "IoU.tent": 0.9259, "IoU.bag": 0.1298, "IoU.minibike": 0.6256, "IoU.cradle": NaN, "IoU.oven": 0.4531, "IoU.ball": 0.4005, "IoU.food": 0.4731, "IoU.step": 0.1208, "IoU.tank": 0.4742, "IoU.trade name": 0.2294, "IoU.microwave": 0.7188, "IoU.pot": 0.4794, "IoU.animal": NaN, "IoU.bicycle": 0.5038, "IoU.lake": 0.4655, "IoU.dishwasher": 0.4891, "IoU.screen": 0.5914, "IoU.blanket": 0.1032, "IoU.sculpture": 0.535, "IoU.hood": 0.5487, "IoU.sconce": 0.3942, "IoU.vase": 0.3124, "IoU.traffic light": 0.258, "IoU.tray": 0.08, "IoU.ashcan": 0.3282, "IoU.fan": 0.5452, "IoU.pier": 0.579, "IoU.crt screen": 0.0648, "IoU.plate": 0.5235, "IoU.monitor": 0.1148, "IoU.bulletin board": 0.3164, "IoU.shower": 0.026, "IoU.radiator": 0.4422, "IoU.glass": 0.1181, "IoU.clock": 0.3862, "IoU.flag": 0.2983, "Acc.wall": 0.8731, "Acc.building": 0.9154, "Acc.sky": 0.973, "Acc.floor": 0.9031, "Acc.tree": 0.87, "Acc.ceiling": 0.9202, "Acc.road": 0.8912, "Acc.bed ": 0.9509, "Acc.windowpane": 0.7745, "Acc.grass": 0.841, "Acc.cabinet": 0.7207, "Acc.sidewalk": 0.8105, "Acc.person": 0.9085, "Acc.earth": 0.4587, "Acc.door": 0.5634, "Acc.table": 0.7442, "Acc.mountain": 0.7694, "Acc.plant": 0.6075, "Acc.curtain": 0.8376, "Acc.chair": 0.6845, "Acc.car": 0.9122, "Acc.water": 0.6652, "Acc.painting": 0.8622, "Acc.sofa": 0.8089, "Acc.shelf": 0.5382, "Acc.house": 0.5916, "Acc.sea": 0.7332, "Acc.mirror": 0.6894, "Acc.rug": 0.6584, "Acc.field": 0.4252, "Acc.armchair": 0.4684, "Acc.seat": 0.7659, "Acc.fence": 0.5887, "Acc.desk": 0.6644, "Acc.rock": 0.7101, "Acc.wardrobe": 0.6598, "Acc.lamp": 0.7072, "Acc.bathtub": 0.8309, "Acc.railing": 0.4581, "Acc.cushion": 0.6883, "Acc.base": 0.4266, "Acc.box": 0.2721, "Acc.column": 0.5187, "Acc.signboard": 0.4739, "Acc.chest of drawers": 0.5533, "Acc.counter": 0.3201, "Acc.sand": 0.5431, "Acc.sink": 0.7825, "Acc.skyscraper": 0.8505, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7755, "Acc.grandstand": 0.6246, "Acc.path": 0.326, "Acc.stairs": 0.3532, "Acc.runway": 0.8503, "Acc.case": 0.4831, "Acc.pool table": 0.9596, "Acc.pillow": 0.6053, "Acc.screen door": 0.7543, "Acc.stairway": 0.3789, "Acc.river": 0.2142, "Acc.bridge": 0.7779, "Acc.bookcase": 0.5189, "Acc.blind": NaN, "Acc.coffee table": 0.759, "Acc.toilet": 0.8891, "Acc.flower": 0.5548, "Acc.book": 0.6552, "Acc.hill": 0.1598, "Acc.bench": 0.4616, "Acc.countertop": 0.6931, "Acc.stove": 0.7917, "Acc.palm": 0.6652, "Acc.kitchen island": 0.5671, "Acc.computer": 0.7086, "Acc.swivel chair": 0.5354, "Acc.boat": 0.6748, "Acc.bar": 0.4432, "Acc.arcade machine": 0.3836, "Acc.hovel": 0.3484, "Acc.bus": 0.9196, "Acc.towel": 0.7401, "Acc.light": 0.6128, "Acc.truck": 0.4739, "Acc.tower": 0.1065, "Acc.chandelier": 0.7742, "Acc.awning": 0.3673, "Acc.streetlight": 0.2678, "Acc.booth": 0.6806, "Acc.television receiver": NaN, "Acc.airplane": 0.6172, "Acc.dirt track": 0.5034, "Acc.apparel": 0.4705, "Acc.pole": 0.2507, "Acc.land": 0.0028, "Acc.bannister": 0.1418, "Acc.escalator": 0.2536, "Acc.ottoman": 0.5478, "Acc.bottle": NaN, "Acc.buffet": 0.4393, "Acc.poster": 0.4091, "Acc.stage": 0.2388, "Acc.van": 0.5403, "Acc.ship": 0.9115, "Acc.fountain": 0.2264, "Acc.conveyer belt": 0.8609, "Acc.canopy": 0.3058, "Acc.washer": 0.7276, "Acc.plaything": 0.2835, "Acc.swimming pool": 0.7782, "Acc.stool": 0.5406, "Acc.barrel": 0.653, "Acc.basket": 0.4165, "Acc.waterfall": 0.5572, "Acc.tent": 0.9857, "Acc.bag": 0.1723, "Acc.minibike": 0.7628, "Acc.cradle": NaN, "Acc.oven": 0.59, "Acc.ball": 0.484, "Acc.food": 0.5449, "Acc.step": 0.1364, "Acc.tank": 0.5384, "Acc.trade name": 0.2737, "Acc.microwave": 0.7965, "Acc.pot": 0.5605, "Acc.animal": NaN, "Acc.bicycle": 0.7126, "Acc.lake": 0.5574, "Acc.dishwasher": 0.6161, "Acc.screen": 0.8067, "Acc.blanket": 0.1159, "Acc.sculpture": 0.6264, "Acc.hood": 0.5967, "Acc.sconce": 0.4753, "Acc.vase": 0.4649, "Acc.traffic light": 0.3966, "Acc.tray": 0.1626, "Acc.ashcan": 0.4221, "Acc.fan": 0.678, "Acc.pier": 0.8675, "Acc.crt screen": 0.1623, "Acc.plate": 0.6989, "Acc.monitor": 0.1266, "Acc.bulletin board": 0.416, "Acc.shower": 0.0794, "Acc.radiator": 0.5024, "Acc.glass": 0.1262, "Acc.clock": 0.4557, "Acc.flag": 0.3488} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt deleted file mode 100644 index 6aec2ddc9..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_b.txt +++ /dev/null @@ -1,3201 +0,0 @@ -{"env_info": "sys.platform: linux\nPython: 3.8.0 (default, Nov 6 2019, 21:49:08) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.1\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 10.2\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75\n - CuDNN 7.6.5\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.2\nOpenCV: 4.4.0\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+21c6ed5", "seed": null, "exp_name": "upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py"} -{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 18297, "data_time": 0.01056, "decode.loss_seg": 4.07931, "decode.acc_seg": 1.28413, "aux.loss_seg": 1.63968, "aux.acc_seg": 0.30859, "loss": 5.71899, "time": 0.87521} -{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 3.93081, "decode.acc_seg": 7.49555, "aux.loss_seg": 1.60277, "aux.acc_seg": 0.59169, "loss": 5.53358, "time": 0.78105} -{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 18297, "data_time": 0.00836, "decode.loss_seg": 3.8244, "decode.acc_seg": 19.8907, "aux.loss_seg": 1.61372, "aux.acc_seg": 1.62632, "loss": 5.43813, "time": 0.78181} -{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 3.43623, "decode.acc_seg": 32.21265, "aux.loss_seg": 1.5745, "aux.acc_seg": 9.00878, "loss": 5.01073, "time": 0.7862} -{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 3.22155, "decode.acc_seg": 36.30878, "aux.loss_seg": 1.5774, "aux.acc_seg": 23.84834, "loss": 4.79895, "time": 0.76794} -{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 2.89613, "decode.acc_seg": 40.10223, "aux.loss_seg": 1.49725, "aux.acc_seg": 35.70248, "loss": 4.39338, "time": 0.7581} -{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 18297, "data_time": 0.00828, "decode.loss_seg": 2.69112, "decode.acc_seg": 41.6649, "aux.loss_seg": 1.42787, "aux.acc_seg": 38.46446, "loss": 4.11899, "time": 0.75938} -{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 18297, "data_time": 0.00804, "decode.loss_seg": 2.52282, "decode.acc_seg": 43.48386, "aux.loss_seg": 1.36406, "aux.acc_seg": 39.95798, "loss": 3.88688, "time": 0.75572} -{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 2.29854, "decode.acc_seg": 44.64845, "aux.loss_seg": 1.28526, "aux.acc_seg": 39.47107, "loss": 3.5838, "time": 0.75523} -{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 2.19791, "decode.acc_seg": 45.93519, "aux.loss_seg": 1.23539, "aux.acc_seg": 41.28154, "loss": 3.4333, "time": 0.75767} -{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 2.05488, "decode.acc_seg": 44.70213, "aux.loss_seg": 1.15477, "aux.acc_seg": 39.84694, "loss": 3.20966, "time": 0.76136} -{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 1.94977, "decode.acc_seg": 47.24802, "aux.loss_seg": 1.12531, "aux.acc_seg": 42.53384, "loss": 3.07508, "time": 0.75497} -{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 1.85359, "decode.acc_seg": 47.78165, "aux.loss_seg": 1.07248, "aux.acc_seg": 42.91982, "loss": 2.92608, "time": 0.75374} -{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 1.73664, "decode.acc_seg": 47.90252, "aux.loss_seg": 0.99912, "aux.acc_seg": 43.46758, "loss": 2.73576, "time": 0.74652} -{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 18297, "data_time": 0.00898, "decode.loss_seg": 1.70056, "decode.acc_seg": 48.2897, "aux.loss_seg": 0.97727, "aux.acc_seg": 43.70945, "loss": 2.67783, "time": 0.74904} -{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 18297, "data_time": 0.00903, "decode.loss_seg": 1.60587, "decode.acc_seg": 50.01285, "aux.loss_seg": 0.92876, "aux.acc_seg": 45.05877, "loss": 2.53463, "time": 0.74902} -{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 1.58217, "decode.acc_seg": 48.0638, "aux.loss_seg": 0.89186, "aux.acc_seg": 42.93287, "loss": 2.47404, "time": 0.75166} -{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 18297, "data_time": 0.00858, "decode.loss_seg": 1.44399, "decode.acc_seg": 50.22623, "aux.loss_seg": 0.82646, "aux.acc_seg": 45.57016, "loss": 2.27045, "time": 0.75391} -{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 18297, "data_time": 0.00838, "decode.loss_seg": 1.46701, "decode.acc_seg": 49.50518, "aux.loss_seg": 0.80971, "aux.acc_seg": 44.65404, "loss": 2.27672, "time": 0.75267} -{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 1.48722, "decode.acc_seg": 49.46941, "aux.loss_seg": 0.80786, "aux.acc_seg": 45.17955, "loss": 2.29508, "time": 0.75061} -{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 1.36648, "decode.acc_seg": 50.73466, "aux.loss_seg": 0.74404, "aux.acc_seg": 45.96113, "loss": 2.11052, "time": 0.74953} -{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 1.38863, "decode.acc_seg": 50.6682, "aux.loss_seg": 0.74463, "aux.acc_seg": 46.40692, "loss": 2.13326, "time": 0.75217} -{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 18297, "data_time": 0.00889, "decode.loss_seg": 1.34548, "decode.acc_seg": 50.59165, "aux.loss_seg": 0.70553, "aux.acc_seg": 46.32495, "loss": 2.05101, "time": 0.75989} -{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 18297, "data_time": 0.00809, "decode.loss_seg": 1.34784, "decode.acc_seg": 51.15084, "aux.loss_seg": 0.70315, "aux.acc_seg": 47.02172, "loss": 2.05099, "time": 0.75421} -{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 1.2467, "decode.acc_seg": 51.98273, "aux.loss_seg": 0.64578, "aux.acc_seg": 48.21484, "loss": 1.89247, "time": 0.75353} -{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 18297, "data_time": 0.23088, "decode.loss_seg": 1.22141, "decode.acc_seg": 53.83366, "aux.loss_seg": 0.64038, "aux.acc_seg": 49.70841, "loss": 1.86178, "time": 0.98672} -{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 1.25659, "decode.acc_seg": 51.86476, "aux.loss_seg": 0.64464, "aux.acc_seg": 47.91238, "loss": 1.90122, "time": 0.75985} -{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 18297, "data_time": 0.00855, "decode.loss_seg": 1.27823, "decode.acc_seg": 52.92749, "aux.loss_seg": 0.65057, "aux.acc_seg": 48.16223, "loss": 1.9288, "time": 0.75582} -{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 1.20679, "decode.acc_seg": 53.67021, "aux.loss_seg": 0.61335, "aux.acc_seg": 49.6593, "loss": 1.82014, "time": 0.75464} -{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 1.11875, "decode.acc_seg": 53.48328, "aux.loss_seg": 0.56676, "aux.acc_seg": 50.15853, "loss": 1.68551, "time": 0.75559} -{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 18297, "data_time": 0.00855, "decode.loss_seg": 1.2273, "decode.acc_seg": 52.05194, "aux.loss_seg": 0.60296, "aux.acc_seg": 49.09874, "loss": 1.83025, "time": 0.75977} -{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 1.15394, "decode.acc_seg": 53.42518, "aux.loss_seg": 0.57383, "aux.acc_seg": 50.4964, "loss": 1.72777, "time": 0.75562} -{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 1.08989, "decode.acc_seg": 54.71211, "aux.loss_seg": 0.54563, "aux.acc_seg": 51.6386, "loss": 1.63552, "time": 0.7596} -{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 18297, "data_time": 0.00741, "decode.loss_seg": 1.12268, "decode.acc_seg": 51.76284, "aux.loss_seg": 0.55446, "aux.acc_seg": 49.09491, "loss": 1.67714, "time": 0.76007} -{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 18297, "data_time": 0.00761, "decode.loss_seg": 1.12571, "decode.acc_seg": 52.40794, "aux.loss_seg": 0.5547, "aux.acc_seg": 49.84485, "loss": 1.68041, "time": 0.75618} -{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 18297, "data_time": 0.00767, "decode.loss_seg": 1.08055, "decode.acc_seg": 51.84908, "aux.loss_seg": 0.52969, "aux.acc_seg": 49.79557, "loss": 1.61024, "time": 0.75229} -{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 18297, "data_time": 0.0077, "decode.loss_seg": 1.11647, "decode.acc_seg": 52.48249, "aux.loss_seg": 0.54333, "aux.acc_seg": 50.19034, "loss": 1.6598, "time": 0.7555} -{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 1.04924, "decode.acc_seg": 54.06014, "aux.loss_seg": 0.52335, "aux.acc_seg": 51.01468, "loss": 1.57259, "time": 0.75929} -{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 1.05656, "decode.acc_seg": 55.15954, "aux.loss_seg": 0.52397, "aux.acc_seg": 52.46432, "loss": 1.58053, "time": 0.76029} -{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 18297, "data_time": 0.00822, "decode.loss_seg": 1.05089, "decode.acc_seg": 55.60086, "aux.loss_seg": 0.5168, "aux.acc_seg": 52.91472, "loss": 1.5677, "time": 0.75702} -{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 1.13617, "decode.acc_seg": 54.6848, "aux.loss_seg": 0.5453, "aux.acc_seg": 51.92839, "loss": 1.68147, "time": 0.75674} -{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 18297, "data_time": 0.00777, "decode.loss_seg": 1.03409, "decode.acc_seg": 55.40121, "aux.loss_seg": 0.50602, "aux.acc_seg": 52.79021, "loss": 1.54011, "time": 0.75084} -{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 18297, "data_time": 0.00778, "decode.loss_seg": 1.01515, "decode.acc_seg": 57.17081, "aux.loss_seg": 0.50065, "aux.acc_seg": 54.25936, "loss": 1.51581, "time": 0.75217} -{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 18297, "data_time": 0.00879, "decode.loss_seg": 0.94744, "decode.acc_seg": 56.00041, "aux.loss_seg": 0.46564, "aux.acc_seg": 53.81074, "loss": 1.41308, "time": 0.76114} -{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 18297, "data_time": 0.00865, "decode.loss_seg": 1.03358, "decode.acc_seg": 55.08648, "aux.loss_seg": 0.50614, "aux.acc_seg": 52.40992, "loss": 1.53971, "time": 0.75907} -{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 18297, "data_time": 0.00838, "decode.loss_seg": 1.00364, "decode.acc_seg": 56.91262, "aux.loss_seg": 0.4897, "aux.acc_seg": 54.064, "loss": 1.49334, "time": 0.75657} -{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 18297, "data_time": 0.00782, "decode.loss_seg": 0.99802, "decode.acc_seg": 55.05981, "aux.loss_seg": 0.48467, "aux.acc_seg": 52.72933, "loss": 1.48268, "time": 0.76025} -{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 18297, "data_time": 0.0076, "decode.loss_seg": 0.96771, "decode.acc_seg": 55.507, "aux.loss_seg": 0.47015, "aux.acc_seg": 53.40051, "loss": 1.43786, "time": 0.75496} -{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 18297, "data_time": 0.00804, "decode.loss_seg": 0.94058, "decode.acc_seg": 56.00164, "aux.loss_seg": 0.46123, "aux.acc_seg": 53.2382, "loss": 1.40181, "time": 0.75255} -{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 18297, "data_time": 0.00793, "decode.loss_seg": 0.97091, "decode.acc_seg": 55.87314, "aux.loss_seg": 0.47395, "aux.acc_seg": 53.12366, "loss": 1.44487, "time": 0.75411} -{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 18297, "data_time": 0.23673, "decode.loss_seg": 0.94895, "decode.acc_seg": 55.11199, "aux.loss_seg": 0.46407, "aux.acc_seg": 52.4118, "loss": 1.41302, "time": 0.98453} -{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 18297, "data_time": 0.00782, "decode.loss_seg": 0.85107, "decode.acc_seg": 57.36728, "aux.loss_seg": 0.42808, "aux.acc_seg": 54.22009, "loss": 1.27916, "time": 0.76393} -{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 0.89967, "decode.acc_seg": 58.42914, "aux.loss_seg": 0.44092, "aux.acc_seg": 56.02968, "loss": 1.34058, "time": 0.75726} -{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 18297, "data_time": 0.0082, "decode.loss_seg": 0.87396, "decode.acc_seg": 57.97723, "aux.loss_seg": 0.43715, "aux.acc_seg": 54.93541, "loss": 1.31111, "time": 0.75582} -{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 0.88487, "decode.acc_seg": 57.14775, "aux.loss_seg": 0.436, "aux.acc_seg": 54.09628, "loss": 1.32087, "time": 0.75648} -{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 18297, "data_time": 0.00856, "decode.loss_seg": 0.89052, "decode.acc_seg": 56.26032, "aux.loss_seg": 0.44062, "aux.acc_seg": 53.28474, "loss": 1.33114, "time": 0.76199} -{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 18297, "data_time": 0.00814, "decode.loss_seg": 0.90455, "decode.acc_seg": 57.3889, "aux.loss_seg": 0.45116, "aux.acc_seg": 54.02982, "loss": 1.35572, "time": 0.75121} -{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.91545, "decode.acc_seg": 55.66926, "aux.loss_seg": 0.43765, "aux.acc_seg": 53.54088, "loss": 1.3531, "time": 0.75054} -{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.91206, "decode.acc_seg": 57.56428, "aux.loss_seg": 0.44071, "aux.acc_seg": 54.91726, "loss": 1.35277, "time": 0.75431} -{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.88882, "decode.acc_seg": 57.06353, "aux.loss_seg": 0.42762, "aux.acc_seg": 55.04624, "loss": 1.31644, "time": 0.75044} -{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 18297, "data_time": 0.00846, "decode.loss_seg": 0.8842, "decode.acc_seg": 56.5665, "aux.loss_seg": 0.43242, "aux.acc_seg": 53.88723, "loss": 1.31662, "time": 0.75648} -{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 0.89863, "decode.acc_seg": 57.46287, "aux.loss_seg": 0.42673, "aux.acc_seg": 55.58163, "loss": 1.32536, "time": 0.75926} -{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 18297, "data_time": 0.0081, "decode.loss_seg": 0.88587, "decode.acc_seg": 57.13691, "aux.loss_seg": 0.42321, "aux.acc_seg": 55.22899, "loss": 1.30908, "time": 0.75235} -{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.83309, "decode.acc_seg": 59.97345, "aux.loss_seg": 0.40954, "aux.acc_seg": 57.15521, "loss": 1.24263, "time": 0.752} -{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 0.90737, "decode.acc_seg": 56.41916, "aux.loss_seg": 0.43673, "aux.acc_seg": 53.89636, "loss": 1.3441, "time": 0.75252} -{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 18297, "data_time": 0.00812, "decode.loss_seg": 0.87392, "decode.acc_seg": 57.45568, "aux.loss_seg": 0.42169, "aux.acc_seg": 54.66652, "loss": 1.29561, "time": 0.75474} -{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 0.82592, "decode.acc_seg": 58.06041, "aux.loss_seg": 0.39963, "aux.acc_seg": 55.47203, "loss": 1.22555, "time": 0.75692} -{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 0.85613, "decode.acc_seg": 57.31447, "aux.loss_seg": 0.42066, "aux.acc_seg": 54.49195, "loss": 1.2768, "time": 0.75816} -{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 18297, "data_time": 0.00812, "decode.loss_seg": 0.83497, "decode.acc_seg": 58.95429, "aux.loss_seg": 0.40307, "aux.acc_seg": 56.61288, "loss": 1.23804, "time": 0.75521} -{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 18297, "data_time": 0.00837, "decode.loss_seg": 0.86476, "decode.acc_seg": 58.07438, "aux.loss_seg": 0.41834, "aux.acc_seg": 55.51388, "loss": 1.2831, "time": 0.75024} -{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 18297, "data_time": 0.00794, "decode.loss_seg": 0.8855, "decode.acc_seg": 56.52762, "aux.loss_seg": 0.4224, "aux.acc_seg": 53.81747, "loss": 1.3079, "time": 0.74762} -{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 18297, "data_time": 0.00814, "decode.loss_seg": 0.85284, "decode.acc_seg": 58.54889, "aux.loss_seg": 0.41136, "aux.acc_seg": 55.91926, "loss": 1.2642, "time": 0.75474} -{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 18297, "data_time": 0.00821, "decode.loss_seg": 0.8424, "decode.acc_seg": 57.04016, "aux.loss_seg": 0.39578, "aux.acc_seg": 54.97498, "loss": 1.23817, "time": 0.75279} -{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 18297, "data_time": 0.0078, "decode.loss_seg": 0.86406, "decode.acc_seg": 57.84495, "aux.loss_seg": 0.41124, "aux.acc_seg": 55.78975, "loss": 1.2753, "time": 0.75039} -{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.84417, "decode.acc_seg": 56.69795, "aux.loss_seg": 0.39488, "aux.acc_seg": 54.39111, "loss": 1.23905, "time": 0.7479} -{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 18297, "data_time": 0.24051, "decode.loss_seg": 0.81773, "decode.acc_seg": 60.23294, "aux.loss_seg": 0.38527, "aux.acc_seg": 58.20271, "loss": 1.20301, "time": 0.9756} -{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.81967, "decode.acc_seg": 58.2989, "aux.loss_seg": 0.39308, "aux.acc_seg": 55.70212, "loss": 1.21275, "time": 0.75521} -{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 18297, "data_time": 0.00857, "decode.loss_seg": 0.8762, "decode.acc_seg": 58.80789, "aux.loss_seg": 0.41838, "aux.acc_seg": 56.58458, "loss": 1.29458, "time": 0.75819} -{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 18297, "data_time": 0.00773, "decode.loss_seg": 0.78282, "decode.acc_seg": 58.76895, "aux.loss_seg": 0.38157, "aux.acc_seg": 55.83252, "loss": 1.16439, "time": 0.74979} -{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 18297, "data_time": 0.00753, "decode.loss_seg": 0.76927, "decode.acc_seg": 59.97312, "aux.loss_seg": 0.36913, "aux.acc_seg": 57.48321, "loss": 1.1384, "time": 0.7449} -{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 18297, "data_time": 0.00743, "decode.loss_seg": 0.79563, "decode.acc_seg": 58.91088, "aux.loss_seg": 0.38791, "aux.acc_seg": 56.05703, "loss": 1.18354, "time": 0.74881} -{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 18297, "data_time": 0.0075, "decode.loss_seg": 0.76264, "decode.acc_seg": 58.63948, "aux.loss_seg": 0.36672, "aux.acc_seg": 56.07138, "loss": 1.12936, "time": 0.74799} -{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.7542, "decode.acc_seg": 57.73951, "aux.loss_seg": 0.36112, "aux.acc_seg": 55.50261, "loss": 1.11532, "time": 0.74939} -{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 18297, "data_time": 0.00785, "decode.loss_seg": 0.77158, "decode.acc_seg": 59.3888, "aux.loss_seg": 0.36778, "aux.acc_seg": 57.20552, "loss": 1.13936, "time": 0.74078} -{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 18297, "data_time": 0.00823, "decode.loss_seg": 0.8014, "decode.acc_seg": 58.06195, "aux.loss_seg": 0.38191, "aux.acc_seg": 55.59651, "loss": 1.18331, "time": 0.7435} -{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.79921, "decode.acc_seg": 58.19595, "aux.loss_seg": 0.38192, "aux.acc_seg": 55.54824, "loss": 1.18112, "time": 0.74737} -{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.78691, "decode.acc_seg": 59.04433, "aux.loss_seg": 0.37251, "aux.acc_seg": 57.05134, "loss": 1.15943, "time": 0.74876} -{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 18297, "data_time": 0.00883, "decode.loss_seg": 0.78459, "decode.acc_seg": 59.58762, "aux.loss_seg": 0.37552, "aux.acc_seg": 57.12328, "loss": 1.16012, "time": 0.75913} -{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 18297, "data_time": 0.00826, "decode.loss_seg": 0.75653, "decode.acc_seg": 59.34466, "aux.loss_seg": 0.35578, "aux.acc_seg": 57.71559, "loss": 1.11231, "time": 0.7518} -{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 0.76966, "decode.acc_seg": 58.74534, "aux.loss_seg": 0.35613, "aux.acc_seg": 56.8699, "loss": 1.12579, "time": 0.75146} -{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.80275, "decode.acc_seg": 60.25001, "aux.loss_seg": 0.3892, "aux.acc_seg": 57.95787, "loss": 1.19195, "time": 0.74933} -{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.78123, "decode.acc_seg": 58.84605, "aux.loss_seg": 0.37523, "aux.acc_seg": 55.86032, "loss": 1.15647, "time": 0.75467} -{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 18297, "data_time": 0.00793, "decode.loss_seg": 0.74495, "decode.acc_seg": 58.41005, "aux.loss_seg": 0.35302, "aux.acc_seg": 56.0857, "loss": 1.09797, "time": 0.74563} -{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 18297, "data_time": 0.00805, "decode.loss_seg": 0.75905, "decode.acc_seg": 58.96789, "aux.loss_seg": 0.35469, "aux.acc_seg": 57.08189, "loss": 1.11374, "time": 0.74403} -{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.75837, "decode.acc_seg": 60.98534, "aux.loss_seg": 0.35558, "aux.acc_seg": 59.08778, "loss": 1.11395, "time": 0.7522} -{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 0.77382, "decode.acc_seg": 59.46718, "aux.loss_seg": 0.36401, "aux.acc_seg": 57.24846, "loss": 1.13784, "time": 0.74979} -{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.76662, "decode.acc_seg": 60.76549, "aux.loss_seg": 0.36105, "aux.acc_seg": 58.87933, "loss": 1.12768, "time": 0.7481} -{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 18297, "data_time": 0.0078, "decode.loss_seg": 0.73, "decode.acc_seg": 59.04032, "aux.loss_seg": 0.34608, "aux.acc_seg": 56.45942, "loss": 1.07608, "time": 0.76152} -{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.76338, "decode.acc_seg": 58.49123, "aux.loss_seg": 0.35842, "aux.acc_seg": 56.49717, "loss": 1.1218, "time": 0.75374} -{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.75953, "decode.acc_seg": 59.75652, "aux.loss_seg": 0.35801, "aux.acc_seg": 57.54316, "loss": 1.11754, "time": 0.74656} -{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 18297, "data_time": 0.0082, "decode.loss_seg": 0.75647, "decode.acc_seg": 59.74469, "aux.loss_seg": 0.3523, "aux.acc_seg": 57.96304, "loss": 1.10877, "time": 0.74829} -{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 18297, "data_time": 0.23571, "decode.loss_seg": 0.72106, "decode.acc_seg": 61.08092, "aux.loss_seg": 0.34411, "aux.acc_seg": 59.06593, "loss": 1.06517, "time": 0.98157} -{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.69674, "decode.acc_seg": 60.02604, "aux.loss_seg": 0.33447, "aux.acc_seg": 57.69662, "loss": 1.03121, "time": 0.7495} -{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 18297, "data_time": 0.00793, "decode.loss_seg": 0.70492, "decode.acc_seg": 59.32512, "aux.loss_seg": 0.33406, "aux.acc_seg": 57.59918, "loss": 1.03898, "time": 0.74608} -{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 18297, "data_time": 0.00792, "decode.loss_seg": 0.73962, "decode.acc_seg": 59.15424, "aux.loss_seg": 0.3501, "aux.acc_seg": 57.04862, "loss": 1.08973, "time": 0.74738} -{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 18297, "data_time": 0.00788, "decode.loss_seg": 0.7341, "decode.acc_seg": 58.69139, "aux.loss_seg": 0.34393, "aux.acc_seg": 56.7023, "loss": 1.07803, "time": 0.74533} -{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 18297, "data_time": 0.00788, "decode.loss_seg": 0.72462, "decode.acc_seg": 60.33425, "aux.loss_seg": 0.34109, "aux.acc_seg": 58.36076, "loss": 1.06571, "time": 0.74937} -{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.70861, "decode.acc_seg": 60.14418, "aux.loss_seg": 0.33835, "aux.acc_seg": 57.48844, "loss": 1.04695, "time": 0.75092} -{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 18297, "data_time": 0.00752, "decode.loss_seg": 0.66941, "decode.acc_seg": 60.86102, "aux.loss_seg": 0.31146, "aux.acc_seg": 59.024, "loss": 0.98088, "time": 0.74804} -{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 18297, "data_time": 0.00791, "decode.loss_seg": 0.72266, "decode.acc_seg": 58.60018, "aux.loss_seg": 0.33839, "aux.acc_seg": 56.80512, "loss": 1.06105, "time": 0.74701} -{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 18297, "data_time": 0.00788, "decode.loss_seg": 0.73883, "decode.acc_seg": 60.23932, "aux.loss_seg": 0.34702, "aux.acc_seg": 58.20937, "loss": 1.08585, "time": 0.74421} -{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 18297, "data_time": 0.00757, "decode.loss_seg": 0.73994, "decode.acc_seg": 59.80742, "aux.loss_seg": 0.35094, "aux.acc_seg": 57.66404, "loss": 1.09087, "time": 0.73884} -{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 18297, "data_time": 0.00781, "decode.loss_seg": 0.66224, "decode.acc_seg": 61.22154, "aux.loss_seg": 0.30646, "aux.acc_seg": 59.47675, "loss": 0.9687, "time": 0.74182} -{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 18297, "data_time": 0.00808, "decode.loss_seg": 0.7279, "decode.acc_seg": 59.663, "aux.loss_seg": 0.3349, "aux.acc_seg": 58.08718, "loss": 1.0628, "time": 0.74806} -{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 18297, "data_time": 0.00794, "decode.loss_seg": 0.71926, "decode.acc_seg": 58.90797, "aux.loss_seg": 0.33001, "aux.acc_seg": 57.12409, "loss": 1.04927, "time": 0.74947} -{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 18297, "data_time": 0.00778, "decode.loss_seg": 0.70061, "decode.acc_seg": 60.36459, "aux.loss_seg": 0.32319, "aux.acc_seg": 58.83467, "loss": 1.0238, "time": 0.75286} -{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 18297, "data_time": 0.00771, "decode.loss_seg": 0.73965, "decode.acc_seg": 60.04944, "aux.loss_seg": 0.33839, "aux.acc_seg": 58.5246, "loss": 1.07804, "time": 0.74147} -{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 18297, "data_time": 0.00742, "decode.loss_seg": 0.67469, "decode.acc_seg": 61.95081, "aux.loss_seg": 0.31656, "aux.acc_seg": 60.3255, "loss": 0.99126, "time": 0.7383} -{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 18297, "data_time": 0.0079, "decode.loss_seg": 0.71998, "decode.acc_seg": 60.57462, "aux.loss_seg": 0.33258, "aux.acc_seg": 58.65066, "loss": 1.05256, "time": 0.74236} -{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 18297, "data_time": 0.00784, "decode.loss_seg": 0.71421, "decode.acc_seg": 60.37175, "aux.loss_seg": 0.32637, "aux.acc_seg": 58.90902, "loss": 1.04058, "time": 0.74482} -{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 18297, "data_time": 0.00778, "decode.loss_seg": 0.70316, "decode.acc_seg": 60.52718, "aux.loss_seg": 0.32574, "aux.acc_seg": 58.25856, "loss": 1.0289, "time": 0.74688} -{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 18297, "data_time": 0.00798, "decode.loss_seg": 0.71973, "decode.acc_seg": 61.75259, "aux.loss_seg": 0.33751, "aux.acc_seg": 59.97053, "loss": 1.05724, "time": 0.74911} -{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.73078, "decode.acc_seg": 58.93976, "aux.loss_seg": 0.33619, "aux.acc_seg": 57.17119, "loss": 1.06697, "time": 0.74266} -{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 18297, "data_time": 0.00789, "decode.loss_seg": 0.73236, "decode.acc_seg": 59.68825, "aux.loss_seg": 0.33522, "aux.acc_seg": 58.0778, "loss": 1.06758, "time": 0.75166} -{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.70942, "decode.acc_seg": 60.2112, "aux.loss_seg": 0.3264, "aux.acc_seg": 58.31818, "loss": 1.03581, "time": 0.74673} -{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 18297, "data_time": 0.00785, "decode.loss_seg": 0.70698, "decode.acc_seg": 60.92528, "aux.loss_seg": 0.32022, "aux.acc_seg": 59.72873, "loss": 1.0272, "time": 0.74949} -{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 18297, "data_time": 0.23169, "decode.loss_seg": 0.65399, "decode.acc_seg": 62.20238, "aux.loss_seg": 0.3067, "aux.acc_seg": 60.00731, "loss": 0.96069, "time": 0.9752} -{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.65743, "decode.acc_seg": 62.07719, "aux.loss_seg": 0.30558, "aux.acc_seg": 60.41348, "loss": 0.96301, "time": 0.7468} -{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 18297, "data_time": 0.0078, "decode.loss_seg": 0.69305, "decode.acc_seg": 61.01605, "aux.loss_seg": 0.31806, "aux.acc_seg": 59.49586, "loss": 1.01111, "time": 0.74286} -{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.68594, "decode.acc_seg": 61.21542, "aux.loss_seg": 0.32083, "aux.acc_seg": 59.14203, "loss": 1.00677, "time": 0.75192} -{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.68065, "decode.acc_seg": 60.7725, "aux.loss_seg": 0.30978, "aux.acc_seg": 59.31433, "loss": 0.99043, "time": 0.74753} -{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.65099, "decode.acc_seg": 61.05378, "aux.loss_seg": 0.30345, "aux.acc_seg": 59.51792, "loss": 0.95444, "time": 0.7518} -{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.67479, "decode.acc_seg": 60.62631, "aux.loss_seg": 0.3133, "aux.acc_seg": 59.00177, "loss": 0.98809, "time": 0.74534} -{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 18297, "data_time": 0.0081, "decode.loss_seg": 0.6992, "decode.acc_seg": 60.50778, "aux.loss_seg": 0.32081, "aux.acc_seg": 58.67862, "loss": 1.02001, "time": 0.74886} -{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 18297, "data_time": 0.00844, "decode.loss_seg": 0.68617, "decode.acc_seg": 61.46758, "aux.loss_seg": 0.31587, "aux.acc_seg": 59.60356, "loss": 1.00204, "time": 0.75044} -{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.67852, "decode.acc_seg": 60.46489, "aux.loss_seg": 0.31692, "aux.acc_seg": 58.53823, "loss": 0.99544, "time": 0.74747} -{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.67003, "decode.acc_seg": 61.94099, "aux.loss_seg": 0.31087, "aux.acc_seg": 59.96114, "loss": 0.9809, "time": 0.74638} -{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 0.66236, "decode.acc_seg": 62.43565, "aux.loss_seg": 0.30478, "aux.acc_seg": 60.79441, "loss": 0.96714, "time": 0.74089} -{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.6652, "decode.acc_seg": 62.39178, "aux.loss_seg": 0.30983, "aux.acc_seg": 60.49015, "loss": 0.97503, "time": 0.74124} -{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.64061, "decode.acc_seg": 61.31641, "aux.loss_seg": 0.29508, "aux.acc_seg": 59.63861, "loss": 0.93569, "time": 0.7447} -{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 18297, "data_time": 0.00805, "decode.loss_seg": 0.66049, "decode.acc_seg": 62.08593, "aux.loss_seg": 0.29978, "aux.acc_seg": 60.52689, "loss": 0.96027, "time": 0.74578} -{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 18297, "data_time": 0.00838, "decode.loss_seg": 0.64387, "decode.acc_seg": 61.30978, "aux.loss_seg": 0.29801, "aux.acc_seg": 59.67212, "loss": 0.94188, "time": 0.74573} -{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 18297, "data_time": 0.00829, "decode.loss_seg": 0.67839, "decode.acc_seg": 61.10731, "aux.loss_seg": 0.31094, "aux.acc_seg": 59.54419, "loss": 0.98932, "time": 0.75045} -{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.69353, "decode.acc_seg": 61.40545, "aux.loss_seg": 0.31135, "aux.acc_seg": 60.32173, "loss": 1.00488, "time": 0.74879} -{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.69703, "decode.acc_seg": 61.16972, "aux.loss_seg": 0.31943, "aux.acc_seg": 59.4818, "loss": 1.01645, "time": 0.7389} -{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.63533, "decode.acc_seg": 61.80954, "aux.loss_seg": 0.29003, "aux.acc_seg": 60.1269, "loss": 0.92536, "time": 0.74121} -{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.69906, "decode.acc_seg": 62.79596, "aux.loss_seg": 0.3162, "aux.acc_seg": 61.16008, "loss": 1.01526, "time": 0.74644} -{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.69908, "decode.acc_seg": 60.23344, "aux.loss_seg": 0.31635, "aux.acc_seg": 58.5802, "loss": 1.01543, "time": 0.74891} -{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 18297, "data_time": 0.00798, "decode.loss_seg": 0.65389, "decode.acc_seg": 61.73991, "aux.loss_seg": 0.29515, "aux.acc_seg": 60.34857, "loss": 0.94904, "time": 0.74611} -{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 0.66144, "decode.acc_seg": 61.13308, "aux.loss_seg": 0.29929, "aux.acc_seg": 59.51982, "loss": 0.96073, "time": 0.74123} -{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.67407, "decode.acc_seg": 61.26217, "aux.loss_seg": 0.30468, "aux.acc_seg": 59.73636, "loss": 0.97876, "time": 0.74607} -{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 18297, "data_time": 0.24282, "decode.loss_seg": 0.64131, "decode.acc_seg": 61.6086, "aux.loss_seg": 0.29522, "aux.acc_seg": 60.3247, "loss": 0.93653, "time": 0.97813} -{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 0.63323, "decode.acc_seg": 61.91391, "aux.loss_seg": 0.2896, "aux.acc_seg": 60.62206, "loss": 0.92283, "time": 0.73875} -{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 18297, "data_time": 0.00909, "decode.loss_seg": 0.66797, "decode.acc_seg": 62.0885, "aux.loss_seg": 0.30588, "aux.acc_seg": 60.58982, "loss": 0.97385, "time": 0.74429} -{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 18297, "data_time": 0.00857, "decode.loss_seg": 0.67168, "decode.acc_seg": 63.38249, "aux.loss_seg": 0.30694, "aux.acc_seg": 61.88662, "loss": 0.97862, "time": 0.74611} -{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 0.62527, "decode.acc_seg": 61.4318, "aux.loss_seg": 0.28469, "aux.acc_seg": 60.07251, "loss": 0.90996, "time": 0.74608} -{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 18297, "data_time": 0.00899, "decode.loss_seg": 0.63199, "decode.acc_seg": 61.96382, "aux.loss_seg": 0.29402, "aux.acc_seg": 60.16273, "loss": 0.92601, "time": 0.74625} -{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 18297, "data_time": 0.00918, "decode.loss_seg": 0.66878, "decode.acc_seg": 60.70541, "aux.loss_seg": 0.30171, "aux.acc_seg": 58.95364, "loss": 0.97049, "time": 0.74131} -{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 18297, "data_time": 0.00928, "decode.loss_seg": 0.66113, "decode.acc_seg": 60.84902, "aux.loss_seg": 0.2982, "aux.acc_seg": 59.55677, "loss": 0.95933, "time": 0.74037} -{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 18297, "data_time": 0.00908, "decode.loss_seg": 0.63304, "decode.acc_seg": 63.41203, "aux.loss_seg": 0.28956, "aux.acc_seg": 61.64033, "loss": 0.9226, "time": 0.7408} -{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 18297, "data_time": 0.00888, "decode.loss_seg": 0.65225, "decode.acc_seg": 61.91022, "aux.loss_seg": 0.2981, "aux.acc_seg": 60.21239, "loss": 0.95035, "time": 0.74178} -{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 18297, "data_time": 0.00903, "decode.loss_seg": 0.64303, "decode.acc_seg": 60.94825, "aux.loss_seg": 0.29405, "aux.acc_seg": 59.55191, "loss": 0.93708, "time": 0.74381} -{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.64926, "decode.acc_seg": 63.18539, "aux.loss_seg": 0.29476, "aux.acc_seg": 61.93001, "loss": 0.94402, "time": 0.74112} -{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 18297, "data_time": 0.00872, "decode.loss_seg": 0.62665, "decode.acc_seg": 61.88773, "aux.loss_seg": 0.28348, "aux.acc_seg": 60.74374, "loss": 0.91013, "time": 0.74527} -{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 18297, "data_time": 0.00851, "decode.loss_seg": 0.64787, "decode.acc_seg": 61.21898, "aux.loss_seg": 0.29423, "aux.acc_seg": 59.78623, "loss": 0.9421, "time": 0.73753} -{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 18297, "data_time": 0.00846, "decode.loss_seg": 0.65552, "decode.acc_seg": 62.29304, "aux.loss_seg": 0.2955, "aux.acc_seg": 61.07544, "loss": 0.95103, "time": 0.73717} -{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 18297, "data_time": 0.0085, "decode.loss_seg": 0.63193, "decode.acc_seg": 62.48116, "aux.loss_seg": 0.28322, "aux.acc_seg": 61.12974, "loss": 0.91515, "time": 0.7403} -{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 18297, "data_time": 0.00854, "decode.loss_seg": 0.65504, "decode.acc_seg": 63.17292, "aux.loss_seg": 0.2952, "aux.acc_seg": 61.28329, "loss": 0.95024, "time": 0.744} -{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 18297, "data_time": 0.0087, "decode.loss_seg": 0.66356, "decode.acc_seg": 60.96303, "aux.loss_seg": 0.30473, "aux.acc_seg": 59.04837, "loss": 0.96829, "time": 0.7429} -{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 18297, "data_time": 0.00875, "decode.loss_seg": 0.6308, "decode.acc_seg": 60.9869, "aux.loss_seg": 0.29061, "aux.acc_seg": 59.24113, "loss": 0.92141, "time": 0.74382} -{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.61776, "decode.acc_seg": 62.81424, "aux.loss_seg": 0.28131, "aux.acc_seg": 61.21516, "loss": 0.89907, "time": 0.73937} -{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 0.61524, "decode.acc_seg": 61.67572, "aux.loss_seg": 0.28185, "aux.acc_seg": 60.26315, "loss": 0.8971, "time": 0.74369} -{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 0.63015, "decode.acc_seg": 62.24677, "aux.loss_seg": 0.28445, "aux.acc_seg": 60.96127, "loss": 0.91459, "time": 0.73606} -{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.64537, "decode.acc_seg": 62.03353, "aux.loss_seg": 0.29092, "aux.acc_seg": 60.7843, "loss": 0.93629, "time": 0.73601} -{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 0.64913, "decode.acc_seg": 62.51765, "aux.loss_seg": 0.29051, "aux.acc_seg": 61.02606, "loss": 0.93964, "time": 0.73924} -{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 18297, "data_time": 0.00836, "decode.loss_seg": 0.67686, "decode.acc_seg": 61.78904, "aux.loss_seg": 0.30388, "aux.acc_seg": 60.36178, "loss": 0.98074, "time": 0.74131} -{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 18297, "data_time": 0.22892, "decode.loss_seg": 0.61084, "decode.acc_seg": 63.47135, "aux.loss_seg": 0.28013, "aux.acc_seg": 61.77927, "loss": 0.89097, "time": 0.97451} -{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.62697, "decode.acc_seg": 63.19106, "aux.loss_seg": 0.28487, "aux.acc_seg": 61.70466, "loss": 0.91185, "time": 0.73452} -{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 18297, "data_time": 0.00833, "decode.loss_seg": 0.60434, "decode.acc_seg": 62.5192, "aux.loss_seg": 0.28123, "aux.acc_seg": 60.62896, "loss": 0.88557, "time": 0.73473} -{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 18297, "data_time": 0.00834, "decode.loss_seg": 0.61582, "decode.acc_seg": 64.38753, "aux.loss_seg": 0.28179, "aux.acc_seg": 62.93982, "loss": 0.8976, "time": 0.74154} -{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 18297, "data_time": 0.00873, "decode.loss_seg": 0.61165, "decode.acc_seg": 64.01964, "aux.loss_seg": 0.28073, "aux.acc_seg": 62.27391, "loss": 0.89238, "time": 0.74157} -{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 18297, "data_time": 0.00824, "decode.loss_seg": 0.64964, "decode.acc_seg": 63.2843, "aux.loss_seg": 0.29062, "aux.acc_seg": 62.05039, "loss": 0.94026, "time": 0.74409} -{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 18297, "data_time": 0.00811, "decode.loss_seg": 0.61349, "decode.acc_seg": 63.4495, "aux.loss_seg": 0.27985, "aux.acc_seg": 61.71163, "loss": 0.89334, "time": 0.74006} -{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 18297, "data_time": 0.00809, "decode.loss_seg": 0.62271, "decode.acc_seg": 62.45914, "aux.loss_seg": 0.28215, "aux.acc_seg": 60.76668, "loss": 0.90486, "time": 0.7462} -{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.58737, "decode.acc_seg": 63.68583, "aux.loss_seg": 0.26625, "aux.acc_seg": 62.52696, "loss": 0.85361, "time": 0.74613} -{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 18297, "data_time": 0.00814, "decode.loss_seg": 0.66155, "decode.acc_seg": 60.76089, "aux.loss_seg": 0.29914, "aux.acc_seg": 59.41915, "loss": 0.96068, "time": 0.73459} -{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 18297, "data_time": 0.008, "decode.loss_seg": 0.62401, "decode.acc_seg": 61.6958, "aux.loss_seg": 0.28267, "aux.acc_seg": 60.38448, "loss": 0.90668, "time": 0.73408} -{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 18297, "data_time": 0.00795, "decode.loss_seg": 0.64998, "decode.acc_seg": 61.98019, "aux.loss_seg": 0.29338, "aux.acc_seg": 60.17092, "loss": 0.94336, "time": 0.73994} -{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 18297, "data_time": 0.00811, "decode.loss_seg": 0.60203, "decode.acc_seg": 62.04657, "aux.loss_seg": 0.27389, "aux.acc_seg": 60.69543, "loss": 0.87592, "time": 0.74041} -{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 18297, "data_time": 0.00779, "decode.loss_seg": 0.60833, "decode.acc_seg": 61.0657, "aux.loss_seg": 0.27511, "aux.acc_seg": 59.59943, "loss": 0.88345, "time": 0.73945} -{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 18297, "data_time": 0.00786, "decode.loss_seg": 0.61018, "decode.acc_seg": 63.3466, "aux.loss_seg": 0.27864, "aux.acc_seg": 61.63045, "loss": 0.88882, "time": 0.74545} -{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 18297, "data_time": 0.00787, "decode.loss_seg": 0.62604, "decode.acc_seg": 62.31717, "aux.loss_seg": 0.28287, "aux.acc_seg": 61.27207, "loss": 0.90891, "time": 0.7394} -{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 18297, "data_time": 0.00794, "decode.loss_seg": 0.60163, "decode.acc_seg": 62.68059, "aux.loss_seg": 0.27432, "aux.acc_seg": 61.23324, "loss": 0.87595, "time": 0.73394} -{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.59517, "decode.acc_seg": 62.72216, "aux.loss_seg": 0.26975, "aux.acc_seg": 61.2631, "loss": 0.86492, "time": 0.73735} -{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 18297, "data_time": 0.0081, "decode.loss_seg": 0.68586, "decode.acc_seg": 61.02561, "aux.loss_seg": 0.30487, "aux.acc_seg": 59.36103, "loss": 0.99073, "time": 0.74269} -{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 18297, "data_time": 0.00797, "decode.loss_seg": 0.63639, "decode.acc_seg": 62.37922, "aux.loss_seg": 0.28274, "aux.acc_seg": 61.07677, "loss": 0.91913, "time": 0.74036} -{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 18297, "data_time": 0.00783, "decode.loss_seg": 0.63422, "decode.acc_seg": 63.91471, "aux.loss_seg": 0.28257, "aux.acc_seg": 62.52252, "loss": 0.91679, "time": 0.7436} -{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.61146, "decode.acc_seg": 61.3998, "aux.loss_seg": 0.27068, "aux.acc_seg": 60.16949, "loss": 0.88214, "time": 0.7454} -{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.59093, "decode.acc_seg": 63.13459, "aux.loss_seg": 0.26911, "aux.acc_seg": 61.4977, "loss": 0.86003, "time": 0.74378} -{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 18297, "data_time": 0.00785, "decode.loss_seg": 0.57326, "decode.acc_seg": 62.84641, "aux.loss_seg": 0.26147, "aux.acc_seg": 61.31627, "loss": 0.83473, "time": 0.74344} -{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 18297, "data_time": 0.00771, "decode.loss_seg": 0.60755, "decode.acc_seg": 63.2649, "aux.loss_seg": 0.27113, "aux.acc_seg": 61.85587, "loss": 0.87868, "time": 0.74272} -{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 18297, "data_time": 0.00747, "decode.loss_seg": 0.61691, "decode.acc_seg": 62.30752, "aux.loss_seg": 0.27585, "aux.acc_seg": 61.13168, "loss": 0.89277, "time": 0.73279} -{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 18297, "data_time": 0.23324, "decode.loss_seg": 0.59034, "decode.acc_seg": 63.45835, "aux.loss_seg": 0.26804, "aux.acc_seg": 62.04128, "loss": 0.85838, "time": 0.965} -{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.56295, "decode.acc_seg": 63.35096, "aux.loss_seg": 0.26006, "aux.acc_seg": 61.65876, "loss": 0.823, "time": 0.73804} -{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 18297, "data_time": 0.00863, "decode.loss_seg": 0.5687, "decode.acc_seg": 63.48294, "aux.loss_seg": 0.25667, "aux.acc_seg": 62.12447, "loss": 0.82538, "time": 0.73998} -{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 0.55916, "decode.acc_seg": 64.26199, "aux.loss_seg": 0.25635, "aux.acc_seg": 62.87279, "loss": 0.81552, "time": 0.73998} -{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 18297, "data_time": 0.00875, "decode.loss_seg": 0.5879, "decode.acc_seg": 63.80254, "aux.loss_seg": 0.27068, "aux.acc_seg": 62.076, "loss": 0.85858, "time": 0.74221} -{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 18297, "data_time": 0.00834, "decode.loss_seg": 0.5833, "decode.acc_seg": 62.19221, "aux.loss_seg": 0.26583, "aux.acc_seg": 60.456, "loss": 0.84913, "time": 0.74446} -{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 18297, "data_time": 0.00866, "decode.loss_seg": 0.58774, "decode.acc_seg": 62.92568, "aux.loss_seg": 0.26768, "aux.acc_seg": 61.09379, "loss": 0.85543, "time": 0.74085} -{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 18297, "data_time": 0.00828, "decode.loss_seg": 0.62397, "decode.acc_seg": 62.12454, "aux.loss_seg": 0.28269, "aux.acc_seg": 60.61744, "loss": 0.90666, "time": 0.73856} -{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.58883, "decode.acc_seg": 62.75391, "aux.loss_seg": 0.26804, "aux.acc_seg": 61.27304, "loss": 0.85687, "time": 0.74293} -{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 18297, "data_time": 0.00895, "decode.loss_seg": 0.60074, "decode.acc_seg": 63.50748, "aux.loss_seg": 0.27607, "aux.acc_seg": 61.46941, "loss": 0.87681, "time": 0.75892} -{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 18297, "data_time": 0.00874, "decode.loss_seg": 0.56783, "decode.acc_seg": 64.40608, "aux.loss_seg": 0.25841, "aux.acc_seg": 62.79394, "loss": 0.82624, "time": 0.75077} -{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 18297, "data_time": 0.00832, "decode.loss_seg": 0.59247, "decode.acc_seg": 63.63509, "aux.loss_seg": 0.26941, "aux.acc_seg": 62.06433, "loss": 0.86188, "time": 0.73993} -{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 18297, "data_time": 0.0088, "decode.loss_seg": 0.61112, "decode.acc_seg": 62.48845, "aux.loss_seg": 0.27395, "aux.acc_seg": 61.36188, "loss": 0.88507, "time": 0.74665} -{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 18297, "data_time": 0.00906, "decode.loss_seg": 0.5928, "decode.acc_seg": 64.04279, "aux.loss_seg": 0.27153, "aux.acc_seg": 62.23587, "loss": 0.86433, "time": 0.74301} -{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 18297, "data_time": 0.00847, "decode.loss_seg": 0.59896, "decode.acc_seg": 64.90021, "aux.loss_seg": 0.26734, "aux.acc_seg": 63.54732, "loss": 0.8663, "time": 0.73752} -{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.59052, "decode.acc_seg": 63.06522, "aux.loss_seg": 0.26809, "aux.acc_seg": 61.50042, "loss": 0.85861, "time": 0.73763} -{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 18297, "data_time": 0.0084, "decode.loss_seg": 0.60564, "decode.acc_seg": 62.08507, "aux.loss_seg": 0.27271, "aux.acc_seg": 60.93825, "loss": 0.87834, "time": 0.7386} -{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 18297, "data_time": 0.00853, "decode.loss_seg": 0.5911, "decode.acc_seg": 63.40753, "aux.loss_seg": 0.26757, "aux.acc_seg": 62.02951, "loss": 0.85868, "time": 0.74273} -{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 18297, "data_time": 0.00888, "decode.loss_seg": 0.5984, "decode.acc_seg": 60.92875, "aux.loss_seg": 0.26999, "aux.acc_seg": 59.64908, "loss": 0.86839, "time": 0.74489} -{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 18297, "data_time": 0.00869, "decode.loss_seg": 0.57917, "decode.acc_seg": 63.7728, "aux.loss_seg": 0.26748, "aux.acc_seg": 61.97371, "loss": 0.84665, "time": 0.74961} -{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 18297, "data_time": 0.0083, "decode.loss_seg": 0.62441, "decode.acc_seg": 61.51536, "aux.loss_seg": 0.28191, "aux.acc_seg": 60.12014, "loss": 0.90632, "time": 0.743} -{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 18297, "data_time": 0.00886, "decode.loss_seg": 0.589, "decode.acc_seg": 63.37563, "aux.loss_seg": 0.26531, "aux.acc_seg": 61.98948, "loss": 0.85431, "time": 0.7353} -{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.58553, "decode.acc_seg": 63.36733, "aux.loss_seg": 0.26111, "aux.acc_seg": 62.01396, "loss": 0.84664, "time": 0.73169} -{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 18297, "data_time": 0.00847, "decode.loss_seg": 0.54949, "decode.acc_seg": 63.33186, "aux.loss_seg": 0.2508, "aux.acc_seg": 61.74805, "loss": 0.80029, "time": 0.73938} -{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 18297, "data_time": 0.00843, "decode.loss_seg": 0.59265, "decode.acc_seg": 62.01637, "aux.loss_seg": 0.26361, "aux.acc_seg": 60.94442, "loss": 0.85626, "time": 0.73524} -{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 18297, "data_time": 0.23925, "decode.loss_seg": 0.54012, "decode.acc_seg": 63.37339, "aux.loss_seg": 0.24332, "aux.acc_seg": 61.9171, "loss": 0.78344, "time": 0.98272} -{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 18297, "data_time": 0.00831, "decode.loss_seg": 0.57643, "decode.acc_seg": 62.57115, "aux.loss_seg": 0.26167, "aux.acc_seg": 60.87369, "loss": 0.8381, "time": 0.74367} -{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 18297, "data_time": 0.00809, "decode.loss_seg": 0.55176, "decode.acc_seg": 64.95346, "aux.loss_seg": 0.25249, "aux.acc_seg": 63.42413, "loss": 0.80426, "time": 0.73914} -{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 18297, "data_time": 0.00843, "decode.loss_seg": 0.56133, "decode.acc_seg": 63.61687, "aux.loss_seg": 0.25521, "aux.acc_seg": 62.16153, "loss": 0.81654, "time": 0.7386} -{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 0.56277, "decode.acc_seg": 64.4749, "aux.loss_seg": 0.25526, "aux.acc_seg": 62.75335, "loss": 0.81803, "time": 0.73481} -{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 0.57111, "decode.acc_seg": 63.75257, "aux.loss_seg": 0.25923, "aux.acc_seg": 62.25564, "loss": 0.83034, "time": 0.73194} -{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 18297, "data_time": 0.00812, "decode.loss_seg": 0.57984, "decode.acc_seg": 64.1224, "aux.loss_seg": 0.26113, "aux.acc_seg": 62.54131, "loss": 0.84098, "time": 0.73571} -{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.53773, "decode.acc_seg": 64.70542, "aux.loss_seg": 0.24558, "aux.acc_seg": 63.14848, "loss": 0.78332, "time": 0.73732} -{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 18297, "data_time": 0.00876, "decode.loss_seg": 0.59286, "decode.acc_seg": 63.08331, "aux.loss_seg": 0.2693, "aux.acc_seg": 61.40356, "loss": 0.86216, "time": 0.74247} -{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.56902, "decode.acc_seg": 63.02013, "aux.loss_seg": 0.26078, "aux.acc_seg": 61.54866, "loss": 0.8298, "time": 0.73994} -{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 18297, "data_time": 0.00791, "decode.loss_seg": 0.53073, "decode.acc_seg": 65.98286, "aux.loss_seg": 0.24463, "aux.acc_seg": 64.43412, "loss": 0.77536, "time": 0.73381} -{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 18297, "data_time": 0.00819, "decode.loss_seg": 0.58922, "decode.acc_seg": 63.84363, "aux.loss_seg": 0.26436, "aux.acc_seg": 62.73577, "loss": 0.85359, "time": 0.73328} -{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 18297, "data_time": 0.00826, "decode.loss_seg": 0.61148, "decode.acc_seg": 62.83017, "aux.loss_seg": 0.27723, "aux.acc_seg": 61.30601, "loss": 0.88871, "time": 0.74706} -{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.58051, "decode.acc_seg": 65.03078, "aux.loss_seg": 0.26406, "aux.acc_seg": 63.51358, "loss": 0.84457, "time": 0.73909} -{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 18297, "data_time": 0.00856, "decode.loss_seg": 0.5992, "decode.acc_seg": 62.78959, "aux.loss_seg": 0.2676, "aux.acc_seg": 61.607, "loss": 0.8668, "time": 0.74291} -{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.59083, "decode.acc_seg": 63.59344, "aux.loss_seg": 0.26817, "aux.acc_seg": 61.83704, "loss": 0.859, "time": 0.73777} -{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 0.55557, "decode.acc_seg": 63.37213, "aux.loss_seg": 0.25222, "aux.acc_seg": 62.14825, "loss": 0.80779, "time": 0.73745} -{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.59594, "decode.acc_seg": 63.15832, "aux.loss_seg": 0.26785, "aux.acc_seg": 61.74542, "loss": 0.86379, "time": 0.7405} -{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 18297, "data_time": 0.00901, "decode.loss_seg": 0.53801, "decode.acc_seg": 62.82811, "aux.loss_seg": 0.24333, "aux.acc_seg": 61.61952, "loss": 0.78134, "time": 0.74109} -{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.54259, "decode.acc_seg": 64.44722, "aux.loss_seg": 0.2505, "aux.acc_seg": 62.806, "loss": 0.79309, "time": 0.74207} -{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.55927, "decode.acc_seg": 63.56064, "aux.loss_seg": 0.25196, "aux.acc_seg": 62.18883, "loss": 0.81123, "time": 0.73844} -{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 18297, "data_time": 0.00816, "decode.loss_seg": 0.58058, "decode.acc_seg": 63.61275, "aux.loss_seg": 0.25926, "aux.acc_seg": 62.54903, "loss": 0.83983, "time": 0.73825} -{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 18297, "data_time": 0.00856, "decode.loss_seg": 0.58537, "decode.acc_seg": 62.60991, "aux.loss_seg": 0.25895, "aux.acc_seg": 61.40174, "loss": 0.84431, "time": 0.73203} -{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 18297, "data_time": 0.00819, "decode.loss_seg": 0.57463, "decode.acc_seg": 62.35228, "aux.loss_seg": 0.2565, "aux.acc_seg": 61.03726, "loss": 0.83113, "time": 0.73238} -{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 18297, "data_time": 0.00868, "decode.loss_seg": 0.59596, "decode.acc_seg": 62.82041, "aux.loss_seg": 0.26685, "aux.acc_seg": 61.62495, "loss": 0.86281, "time": 0.74981} -{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 18297, "data_time": 0.24274, "decode.loss_seg": 0.55026, "decode.acc_seg": 63.37709, "aux.loss_seg": 0.25023, "aux.acc_seg": 61.88692, "loss": 0.80049, "time": 0.98215} -{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 18297, "data_time": 0.00942, "decode.loss_seg": 0.54078, "decode.acc_seg": 64.03892, "aux.loss_seg": 0.24538, "aux.acc_seg": 62.80402, "loss": 0.78616, "time": 0.74618} -{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 18297, "data_time": 0.00891, "decode.loss_seg": 0.52546, "decode.acc_seg": 63.37193, "aux.loss_seg": 0.24102, "aux.acc_seg": 61.73974, "loss": 0.76648, "time": 0.7397} -{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 18297, "data_time": 0.00922, "decode.loss_seg": 0.53067, "decode.acc_seg": 65.22289, "aux.loss_seg": 0.24491, "aux.acc_seg": 63.57893, "loss": 0.77559, "time": 0.74085} -{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 18297, "data_time": 0.00914, "decode.loss_seg": 0.53169, "decode.acc_seg": 63.25418, "aux.loss_seg": 0.24784, "aux.acc_seg": 61.52079, "loss": 0.77953, "time": 0.74574} -{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 18297, "data_time": 0.00867, "decode.loss_seg": 0.57564, "decode.acc_seg": 64.38757, "aux.loss_seg": 0.26186, "aux.acc_seg": 63.06598, "loss": 0.8375, "time": 0.74849} -{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 18297, "data_time": 0.00871, "decode.loss_seg": 0.53658, "decode.acc_seg": 63.09495, "aux.loss_seg": 0.24348, "aux.acc_seg": 61.64401, "loss": 0.78007, "time": 0.74244} -{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 18297, "data_time": 0.00902, "decode.loss_seg": 0.56013, "decode.acc_seg": 64.18075, "aux.loss_seg": 0.25225, "aux.acc_seg": 62.9378, "loss": 0.81238, "time": 0.74911} -{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 18297, "data_time": 0.00857, "decode.loss_seg": 0.53581, "decode.acc_seg": 63.89674, "aux.loss_seg": 0.24545, "aux.acc_seg": 62.17474, "loss": 0.78126, "time": 0.7428} -{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 18297, "data_time": 0.00891, "decode.loss_seg": 0.53623, "decode.acc_seg": 63.63204, "aux.loss_seg": 0.24271, "aux.acc_seg": 62.13006, "loss": 0.77894, "time": 0.74263} -{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 18297, "data_time": 0.00866, "decode.loss_seg": 0.5702, "decode.acc_seg": 64.34311, "aux.loss_seg": 0.25759, "aux.acc_seg": 62.99094, "loss": 0.82779, "time": 0.73394} -{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 18297, "data_time": 0.00881, "decode.loss_seg": 0.5472, "decode.acc_seg": 66.75069, "aux.loss_seg": 0.2472, "aux.acc_seg": 65.44473, "loss": 0.79441, "time": 0.72867} -{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 18297, "data_time": 0.00877, "decode.loss_seg": 0.55285, "decode.acc_seg": 62.70353, "aux.loss_seg": 0.24942, "aux.acc_seg": 61.24467, "loss": 0.80226, "time": 0.73815} -{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 18297, "data_time": 0.00881, "decode.loss_seg": 0.53178, "decode.acc_seg": 63.36367, "aux.loss_seg": 0.23848, "aux.acc_seg": 62.26822, "loss": 0.77026, "time": 0.74243} -{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 18297, "data_time": 0.00903, "decode.loss_seg": 0.52642, "decode.acc_seg": 63.55324, "aux.loss_seg": 0.24065, "aux.acc_seg": 62.258, "loss": 0.76707, "time": 0.73984} -{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 18297, "data_time": 0.00892, "decode.loss_seg": 0.54536, "decode.acc_seg": 63.93813, "aux.loss_seg": 0.24741, "aux.acc_seg": 62.44543, "loss": 0.79277, "time": 0.74151} -{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 18297, "data_time": 0.009, "decode.loss_seg": 0.53477, "decode.acc_seg": 63.51293, "aux.loss_seg": 0.24086, "aux.acc_seg": 62.25505, "loss": 0.77562, "time": 0.74139} -{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 18297, "data_time": 0.00893, "decode.loss_seg": 0.53772, "decode.acc_seg": 64.08634, "aux.loss_seg": 0.24378, "aux.acc_seg": 62.8393, "loss": 0.78151, "time": 0.74282} -{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 18297, "data_time": 0.00876, "decode.loss_seg": 0.53819, "decode.acc_seg": 65.65221, "aux.loss_seg": 0.24038, "aux.acc_seg": 64.30642, "loss": 0.77857, "time": 0.74057} -{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 18297, "data_time": 0.00868, "decode.loss_seg": 0.55962, "decode.acc_seg": 64.69628, "aux.loss_seg": 0.25405, "aux.acc_seg": 63.21425, "loss": 0.81367, "time": 0.73119} -{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 18297, "data_time": 0.0087, "decode.loss_seg": 0.56815, "decode.acc_seg": 63.00472, "aux.loss_seg": 0.25354, "aux.acc_seg": 61.97919, "loss": 0.8217, "time": 0.73415} -{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 18297, "data_time": 0.00906, "decode.loss_seg": 0.56354, "decode.acc_seg": 64.17168, "aux.loss_seg": 0.25398, "aux.acc_seg": 62.57958, "loss": 0.81752, "time": 0.74187} -{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 18297, "data_time": 0.00868, "decode.loss_seg": 0.57895, "decode.acc_seg": 63.85082, "aux.loss_seg": 0.2629, "aux.acc_seg": 62.35444, "loss": 0.84185, "time": 0.73957} -{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 18297, "data_time": 0.00882, "decode.loss_seg": 0.57198, "decode.acc_seg": 64.60147, "aux.loss_seg": 0.25416, "aux.acc_seg": 63.53045, "loss": 0.82614, "time": 0.74263} -{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 0.55356, "decode.acc_seg": 64.11044, "aux.loss_seg": 0.25258, "aux.acc_seg": 62.73261, "loss": 0.80614, "time": 0.74103} -{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 18297, "data_time": 0.24012, "decode.loss_seg": 0.55898, "decode.acc_seg": 63.09724, "aux.loss_seg": 0.2495, "aux.acc_seg": 61.85504, "loss": 0.80848, "time": 0.97691} -{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.55318, "decode.acc_seg": 64.94403, "aux.loss_seg": 0.25291, "aux.acc_seg": 63.41919, "loss": 0.80609, "time": 0.74452} -{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.50142, "decode.acc_seg": 64.66886, "aux.loss_seg": 0.22811, "aux.acc_seg": 63.18429, "loss": 0.72953, "time": 0.73794} -{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 18297, "data_time": 0.00792, "decode.loss_seg": 0.54268, "decode.acc_seg": 64.21731, "aux.loss_seg": 0.24917, "aux.acc_seg": 62.70452, "loss": 0.79185, "time": 0.73767} -{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 18297, "data_time": 0.00845, "decode.loss_seg": 0.51122, "decode.acc_seg": 64.30957, "aux.loss_seg": 0.23404, "aux.acc_seg": 62.86665, "loss": 0.74526, "time": 0.73867} -{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 18297, "data_time": 0.00802, "decode.loss_seg": 0.53735, "decode.acc_seg": 64.91916, "aux.loss_seg": 0.24832, "aux.acc_seg": 63.18487, "loss": 0.78567, "time": 0.74299} -{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.53606, "decode.acc_seg": 64.65295, "aux.loss_seg": 0.24892, "aux.acc_seg": 62.8576, "loss": 0.78498, "time": 0.74077} -{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 18297, "data_time": 0.00822, "decode.loss_seg": 0.53791, "decode.acc_seg": 64.94936, "aux.loss_seg": 0.24283, "aux.acc_seg": 63.4807, "loss": 0.78074, "time": 0.73456} -{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 18297, "data_time": 0.00807, "decode.loss_seg": 0.55056, "decode.acc_seg": 64.51478, "aux.loss_seg": 0.25002, "aux.acc_seg": 63.24499, "loss": 0.80058, "time": 0.72882} -{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 18297, "data_time": 0.00827, "decode.loss_seg": 0.52859, "decode.acc_seg": 64.56038, "aux.loss_seg": 0.24293, "aux.acc_seg": 63.12941, "loss": 0.77152, "time": 0.73224} -{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 18297, "data_time": 0.00813, "decode.loss_seg": 0.5309, "decode.acc_seg": 63.46101, "aux.loss_seg": 0.23903, "aux.acc_seg": 62.34528, "loss": 0.76994, "time": 0.73727} -{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 18297, "data_time": 0.00806, "decode.loss_seg": 0.55495, "decode.acc_seg": 64.14053, "aux.loss_seg": 0.2526, "aux.acc_seg": 62.55964, "loss": 0.80755, "time": 0.74043} -{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.57086, "decode.acc_seg": 64.94882, "aux.loss_seg": 0.25639, "aux.acc_seg": 63.5088, "loss": 0.82724, "time": 0.73929} -{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 18297, "data_time": 0.00782, "decode.loss_seg": 0.5079, "decode.acc_seg": 64.09213, "aux.loss_seg": 0.23064, "aux.acc_seg": 62.83107, "loss": 0.73855, "time": 0.73821} -{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.54347, "decode.acc_seg": 64.56586, "aux.loss_seg": 0.24701, "aux.acc_seg": 63.13515, "loss": 0.79048, "time": 0.74141} -{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.53032, "decode.acc_seg": 64.68514, "aux.loss_seg": 0.24109, "aux.acc_seg": 63.37776, "loss": 0.77142, "time": 0.74192} -{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.52898, "decode.acc_seg": 64.52488, "aux.loss_seg": 0.24034, "aux.acc_seg": 63.02032, "loss": 0.76932, "time": 0.73791} -{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.51656, "decode.acc_seg": 65.27554, "aux.loss_seg": 0.2377, "aux.acc_seg": 63.82851, "loss": 0.75426, "time": 0.73987} -{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 18297, "data_time": 0.00801, "decode.loss_seg": 0.55925, "decode.acc_seg": 64.35368, "aux.loss_seg": 0.25182, "aux.acc_seg": 62.90636, "loss": 0.81107, "time": 0.73929} -{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 18297, "data_time": 0.00799, "decode.loss_seg": 0.55294, "decode.acc_seg": 65.27641, "aux.loss_seg": 0.24586, "aux.acc_seg": 64.25091, "loss": 0.79881, "time": 0.73993} -{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 18297, "data_time": 0.00803, "decode.loss_seg": 0.5218, "decode.acc_seg": 64.92458, "aux.loss_seg": 0.2395, "aux.acc_seg": 63.58233, "loss": 0.7613, "time": 0.73639} -{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 18297, "data_time": 0.00817, "decode.loss_seg": 0.5078, "decode.acc_seg": 64.68159, "aux.loss_seg": 0.23004, "aux.acc_seg": 63.41192, "loss": 0.73784, "time": 0.73557} -{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 18297, "data_time": 0.00804, "decode.loss_seg": 0.52385, "decode.acc_seg": 64.02232, "aux.loss_seg": 0.23579, "aux.acc_seg": 62.8429, "loss": 0.75964, "time": 0.73354} -{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 18297, "data_time": 0.00813, "decode.loss_seg": 0.55211, "decode.acc_seg": 65.6446, "aux.loss_seg": 0.25025, "aux.acc_seg": 64.28153, "loss": 0.80236, "time": 0.73771} -{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 18297, "data_time": 0.00825, "decode.loss_seg": 0.54415, "decode.acc_seg": 63.97968, "aux.loss_seg": 0.24359, "aux.acc_seg": 62.55934, "loss": 0.78774, "time": 0.73908} -{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 18297, "data_time": 0.0085, "decode.loss_seg": 0.54222, "decode.acc_seg": 63.59624, "aux.loss_seg": 0.24545, "aux.acc_seg": 62.22394, "loss": 0.78767, "time": 0.74251} -{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 18297, "data_time": 0.24413, "decode.loss_seg": 0.5335, "decode.acc_seg": 64.68996, "aux.loss_seg": 0.24052, "aux.acc_seg": 63.50072, "loss": 0.77401, "time": 0.97473} -{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 18297, "data_time": 0.00842, "decode.loss_seg": 0.49688, "decode.acc_seg": 64.68576, "aux.loss_seg": 0.22704, "aux.acc_seg": 63.33308, "loss": 0.72392, "time": 0.74052} -{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 18297, "data_time": 0.00895, "decode.loss_seg": 0.55457, "decode.acc_seg": 66.44977, "aux.loss_seg": 0.25059, "aux.acc_seg": 65.08103, "loss": 0.80516, "time": 0.74335} -{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 18297, "data_time": 0.00826, "decode.loss_seg": 0.49579, "decode.acc_seg": 64.50793, "aux.loss_seg": 0.22733, "aux.acc_seg": 63.16483, "loss": 0.72312, "time": 0.74052} -{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 18297, "data_time": 0.00839, "decode.loss_seg": 0.51391, "decode.acc_seg": 63.59108, "aux.loss_seg": 0.23404, "aux.acc_seg": 62.26165, "loss": 0.74795, "time": 0.73985} -{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 18297, "data_time": 0.00835, "decode.loss_seg": 0.52562, "decode.acc_seg": 66.06086, "aux.loss_seg": 0.24041, "aux.acc_seg": 64.58342, "loss": 0.76603, "time": 0.73869} -{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 18297, "data_time": 0.00848, "decode.loss_seg": 0.50064, "decode.acc_seg": 64.37736, "aux.loss_seg": 0.22696, "aux.acc_seg": 62.80355, "loss": 0.7276, "time": 0.74044} -{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 18297, "data_time": 0.009, "decode.loss_seg": 0.53802, "decode.acc_seg": 64.74999, "aux.loss_seg": 0.24255, "aux.acc_seg": 63.61446, "loss": 0.78056, "time": 0.74054} -{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 18297, "data_time": 0.00913, "decode.loss_seg": 0.5286, "decode.acc_seg": 65.28643, "aux.loss_seg": 0.24016, "aux.acc_seg": 64.00053, "loss": 0.76876, "time": 0.74518} -{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 18297, "data_time": 0.00885, "decode.loss_seg": 0.49497, "decode.acc_seg": 64.38312, "aux.loss_seg": 0.22928, "aux.acc_seg": 62.62197, "loss": 0.72425, "time": 0.74198} -{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 18297, "data_time": 0.00859, "decode.loss_seg": 0.52748, "decode.acc_seg": 64.44328, "aux.loss_seg": 0.23865, "aux.acc_seg": 63.06568, "loss": 0.76613, "time": 0.74106} -{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 18297, "data_time": 0.00836, "decode.loss_seg": 0.48984, "decode.acc_seg": 65.2731, "aux.loss_seg": 0.22492, "aux.acc_seg": 63.67351, "loss": 0.71476, "time": 0.74387} -{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 18297, "data_time": 0.00818, "decode.loss_seg": 0.54324, "decode.acc_seg": 64.5993, "aux.loss_seg": 0.24766, "aux.acc_seg": 63.16469, "loss": 0.79089, "time": 0.74524} -{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 18297, "data_time": 0.00811, "decode.loss_seg": 0.50931, "decode.acc_seg": 64.38222, "aux.loss_seg": 0.23067, "aux.acc_seg": 62.97762, "loss": 0.73997, "time": 0.74039} -{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 18297, "data_time": 0.00822, "decode.loss_seg": 0.52768, "decode.acc_seg": 64.47899, "aux.loss_seg": 0.24438, "aux.acc_seg": 62.89487, "loss": 0.77206, "time": 0.73775} -{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 18297, "data_time": 0.00805, "decode.loss_seg": 0.5128, "decode.acc_seg": 64.75431, "aux.loss_seg": 0.23436, "aux.acc_seg": 63.44582, "loss": 0.74716, "time": 0.73874} -{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.4008, "mAcc": 0.5318, "aAcc": 0.7918, "IoU.wall": 0.7208, "IoU.building": 0.801, "IoU.sky": 0.9359, "IoU.floor": 0.7756, "IoU.tree": 0.721, "IoU.ceiling": 0.8114, "IoU.road": 0.7749, "IoU.bed ": 0.8213, "IoU.windowpane": 0.5663, "IoU.grass": 0.6286, "IoU.cabinet": 0.5461, "IoU.sidewalk": 0.5639, "IoU.person": 0.7433, "IoU.earth": 0.3426, "IoU.door": 0.3581, "IoU.table": 0.4743, "IoU.mountain": 0.4771, "IoU.plant": 0.4926, "IoU.curtain": 0.6703, "IoU.chair": 0.4687, "IoU.car": 0.7858, "IoU.water": 0.5016, "IoU.painting": 0.5995, "IoU.sofa": 0.5373, "IoU.shelf": 0.4256, "IoU.house": 0.4553, "IoU.sea": 0.5238, "IoU.mirror": 0.4919, "IoU.rug": 0.6309, "IoU.field": 0.2831, "IoU.armchair": 0.261, "IoU.seat": 0.6313, "IoU.fence": 0.3585, "IoU.desk": 0.3827, "IoU.rock": 0.2504, "IoU.wardrobe": 0.4244, "IoU.lamp": 0.4982, "IoU.bathtub": 0.6084, "IoU.railing": 0.3149, "IoU.cushion": 0.4548, "IoU.base": 0.1162, "IoU.box": 0.158, "IoU.column": 0.415, "IoU.signboard": 0.3314, "IoU.chest of drawers": 0.3743, "IoU.counter": 0.2686, "IoU.sand": 0.3252, "IoU.sink": 0.5651, "IoU.skyscraper": 0.5233, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5998, "IoU.grandstand": 0.2986, "IoU.path": 0.1295, "IoU.stairs": 0.2919, "IoU.runway": 0.7293, "IoU.case": 0.5095, "IoU.pool table": 0.8863, "IoU.pillow": 0.4874, "IoU.screen door": 0.4566, "IoU.stairway": 0.3589, "IoU.river": 0.1282, "IoU.bridge": 0.3029, "IoU.bookcase": 0.3223, "IoU.blind": NaN, "IoU.coffee table": 0.4086, "IoU.toilet": 0.7152, "IoU.flower": 0.3441, "IoU.book": 0.4291, "IoU.hill": 0.0382, "IoU.bench": 0.414, "IoU.countertop": 0.4781, "IoU.stove": 0.5344, "IoU.palm": 0.468, "IoU.kitchen island": 0.2382, "IoU.computer": 0.6046, "IoU.swivel chair": 0.3634, "IoU.boat": 0.4122, "IoU.bar": 0.4448, "IoU.arcade machine": 0.7812, "IoU.hovel": 0.0716, "IoU.bus": 0.7904, "IoU.towel": 0.5286, "IoU.light": 0.3191, "IoU.truck": 0.1182, "IoU.tower": 0.3406, "IoU.chandelier": 0.5798, "IoU.awning": 0.2222, "IoU.streetlight": 0.144, "IoU.booth": 0.4334, "IoU.television receiver": NaN, "IoU.airplane": 0.5216, "IoU.dirt track": 0.0696, "IoU.apparel": 0.2497, "IoU.pole": 0.1354, "IoU.land": 0.0, "IoU.bannister": 0.0718, "IoU.escalator": 0.3418, "IoU.ottoman": 0.2489, "IoU.bottle": NaN, "IoU.buffet": 0.396, "IoU.poster": 0.0238, "IoU.stage": 0.0871, "IoU.van": 0.2471, "IoU.ship": 0.5209, "IoU.fountain": 0.1989, "IoU.conveyer belt": 0.4066, "IoU.canopy": 0.2878, "IoU.washer": 0.6571, "IoU.plaything": 0.1646, "IoU.swimming pool": 0.6023, "IoU.stool": 0.1716, "IoU.barrel": 0.2727, "IoU.basket": 0.2441, "IoU.waterfall": 0.7622, "IoU.tent": 0.5947, "IoU.bag": 0.052, "IoU.minibike": 0.5734, "IoU.cradle": NaN, "IoU.oven": 0.0621, "IoU.ball": 0.3628, "IoU.food": 0.4522, "IoU.step": 0.0013, "IoU.tank": 0.4636, "IoU.trade name": 0.225, "IoU.microwave": 0.6733, "IoU.pot": 0.4418, "IoU.animal": NaN, "IoU.bicycle": 0.4691, "IoU.lake": 0.0515, "IoU.dishwasher": 0.2517, "IoU.screen": 0.542, "IoU.blanket": 0.0, "IoU.sculpture": 0.4265, "IoU.hood": 0.2284, "IoU.sconce": 0.1749, "IoU.vase": 0.2398, "IoU.traffic light": 0.176, "IoU.tray": 0.0087, "IoU.ashcan": 0.2935, "IoU.fan": 0.4362, "IoU.pier": 0.5811, "IoU.crt screen": 0.0939, "IoU.plate": 0.4949, "IoU.monitor": 0.373, "IoU.bulletin board": 0.1931, "IoU.shower": 0.0, "IoU.radiator": 0.4883, "IoU.glass": 0.0853, "IoU.clock": 0.2686, "IoU.flag": 0.3374, "Acc.wall": 0.8301, "Acc.building": 0.9073, "Acc.sky": 0.9697, "Acc.floor": 0.8741, "Acc.tree": 0.8725, "Acc.ceiling": 0.9142, "Acc.road": 0.8917, "Acc.bed ": 0.9409, "Acc.windowpane": 0.7759, "Acc.grass": 0.7206, "Acc.cabinet": 0.6592, "Acc.sidewalk": 0.7722, "Acc.person": 0.876, "Acc.earth": 0.4621, "Acc.door": 0.5131, "Acc.table": 0.6471, "Acc.mountain": 0.7556, "Acc.plant": 0.5933, "Acc.curtain": 0.7879, "Acc.chair": 0.6355, "Acc.car": 0.8953, "Acc.water": 0.6501, "Acc.painting": 0.844, "Acc.sofa": 0.732, "Acc.shelf": 0.7012, "Acc.house": 0.6334, "Acc.sea": 0.698, "Acc.mirror": 0.6607, "Acc.rug": 0.7293, "Acc.field": 0.5797, "Acc.armchair": 0.3923, "Acc.seat": 0.8491, "Acc.fence": 0.4787, "Acc.desk": 0.6, "Acc.rock": 0.4425, "Acc.wardrobe": 0.4995, "Acc.lamp": 0.6019, "Acc.bathtub": 0.7897, "Acc.railing": 0.3667, "Acc.cushion": 0.6515, "Acc.base": 0.1494, "Acc.box": 0.1846, "Acc.column": 0.5835, "Acc.signboard": 0.4792, "Acc.chest of drawers": 0.4516, "Acc.counter": 0.3898, "Acc.sand": 0.4569, "Acc.sink": 0.7273, "Acc.skyscraper": 0.7556, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7771, "Acc.grandstand": 0.7179, "Acc.path": 0.1594, "Acc.stairs": 0.3258, "Acc.runway": 0.8538, "Acc.case": 0.7099, "Acc.pool table": 0.9412, "Acc.pillow": 0.633, "Acc.screen door": 0.811, "Acc.stairway": 0.435, "Acc.river": 0.2079, "Acc.bridge": 0.3738, "Acc.bookcase": 0.3762, "Acc.blind": NaN, "Acc.coffee table": 0.7861, "Acc.toilet": 0.8397, "Acc.flower": 0.5971, "Acc.book": 0.5912, "Acc.hill": 0.062, "Acc.bench": 0.5208, "Acc.countertop": 0.8308, "Acc.stove": 0.7755, "Acc.palm": 0.6647, "Acc.kitchen island": 0.5187, "Acc.computer": 0.744, "Acc.swivel chair": 0.5305, "Acc.boat": 0.4832, "Acc.bar": 0.5938, "Acc.arcade machine": 0.9462, "Acc.hovel": 0.0746, "Acc.bus": 0.9446, "Acc.towel": 0.664, "Acc.light": 0.3484, "Acc.truck": 0.1966, "Acc.tower": 0.5643, "Acc.chandelier": 0.7787, "Acc.awning": 0.2499, "Acc.streetlight": 0.1937, "Acc.booth": 0.5929, "Acc.television receiver": NaN, "Acc.airplane": 0.6368, "Acc.dirt track": 0.1581, "Acc.apparel": 0.3957, "Acc.pole": 0.1901, "Acc.land": 0.0, "Acc.bannister": 0.0911, "Acc.escalator": 0.5737, "Acc.ottoman": 0.3074, "Acc.bottle": NaN, "Acc.buffet": 0.4429, "Acc.poster": 0.0292, "Acc.stage": 0.1446, "Acc.van": 0.2979, "Acc.ship": 0.7876, "Acc.fountain": 0.2012, "Acc.conveyer belt": 0.938, "Acc.canopy": 0.4713, "Acc.washer": 0.7507, "Acc.plaything": 0.2592, "Acc.swimming pool": 0.8453, "Acc.stool": 0.193, "Acc.barrel": 0.6512, "Acc.basket": 0.3272, "Acc.waterfall": 0.9199, "Acc.tent": 0.9935, "Acc.bag": 0.055, "Acc.minibike": 0.7437, "Acc.cradle": NaN, "Acc.oven": 0.0826, "Acc.ball": 0.3885, "Acc.food": 0.5507, "Acc.step": 0.0014, "Acc.tank": 0.5597, "Acc.trade name": 0.2533, "Acc.microwave": 0.7645, "Acc.pot": 0.4845, "Acc.animal": NaN, "Acc.bicycle": 0.7342, "Acc.lake": 0.0949, "Acc.dishwasher": 0.3521, "Acc.screen": 0.8126, "Acc.blanket": 0.0, "Acc.sculpture": 0.4477, "Acc.hood": 0.2575, "Acc.sconce": 0.1958, "Acc.vase": 0.382, "Acc.traffic light": 0.25, "Acc.tray": 0.0092, "Acc.ashcan": 0.3794, "Acc.fan": 0.5212, "Acc.pier": 0.8038, "Acc.crt screen": 0.1131, "Acc.plate": 0.71, "Acc.monitor": 0.6114, "Acc.bulletin board": 0.206, "Acc.shower": 0.0, "Acc.radiator": 0.6009, "Acc.glass": 0.0917, "Acc.clock": 0.303, "Acc.flag": 0.4266} -{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 26851, "data_time": 6.70668, "decode.loss_seg": 0.52919, "decode.acc_seg": 64.77618, "aux.loss_seg": 0.2407, "aux.acc_seg": 63.22532, "loss": 0.76989, "time": 7.43394} -{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.50741, "decode.acc_seg": 63.49754, "aux.loss_seg": 0.22983, "aux.acc_seg": 62.33587, "loss": 0.73724, "time": 0.73603} -{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.52624, "decode.acc_seg": 65.2532, "aux.loss_seg": 0.24024, "aux.acc_seg": 63.65, "loss": 0.76649, "time": 0.7355} -{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.49985, "decode.acc_seg": 65.27435, "aux.loss_seg": 0.23041, "aux.acc_seg": 63.66561, "loss": 0.73026, "time": 0.73724} -{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.4771, "decode.acc_seg": 65.68711, "aux.loss_seg": 0.21906, "aux.acc_seg": 64.19083, "loss": 0.69615, "time": 0.74304} -{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 26851, "data_time": 0.0074, "decode.loss_seg": 0.51538, "decode.acc_seg": 64.77526, "aux.loss_seg": 0.23121, "aux.acc_seg": 63.74993, "loss": 0.74659, "time": 0.73863} -{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 26851, "data_time": 0.00719, "decode.loss_seg": 0.50897, "decode.acc_seg": 64.37596, "aux.loss_seg": 0.23226, "aux.acc_seg": 62.93018, "loss": 0.74123, "time": 0.74098} -{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.53915, "decode.acc_seg": 64.99775, "aux.loss_seg": 0.2442, "aux.acc_seg": 63.72923, "loss": 0.78335, "time": 0.73764} -{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 26851, "data_time": 0.24339, "decode.loss_seg": 0.54111, "decode.acc_seg": 63.78792, "aux.loss_seg": 0.24854, "aux.acc_seg": 62.06163, "loss": 0.78966, "time": 0.97644} -{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.49777, "decode.acc_seg": 64.94857, "aux.loss_seg": 0.22952, "aux.acc_seg": 63.44373, "loss": 0.72728, "time": 0.73825} -{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.48959, "decode.acc_seg": 64.0282, "aux.loss_seg": 0.22525, "aux.acc_seg": 62.42193, "loss": 0.71484, "time": 0.74252} -{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.50919, "decode.acc_seg": 65.81888, "aux.loss_seg": 0.23283, "aux.acc_seg": 64.2133, "loss": 0.74202, "time": 0.74396} -{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.50399, "decode.acc_seg": 65.59687, "aux.loss_seg": 0.2296, "aux.acc_seg": 64.18175, "loss": 0.73359, "time": 0.7439} -{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.51095, "decode.acc_seg": 64.60905, "aux.loss_seg": 0.23137, "aux.acc_seg": 63.25429, "loss": 0.74232, "time": 0.74093} -{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.51362, "decode.acc_seg": 66.35922, "aux.loss_seg": 0.23605, "aux.acc_seg": 64.70916, "loss": 0.74967, "time": 0.73301} -{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.54138, "decode.acc_seg": 64.42358, "aux.loss_seg": 0.24274, "aux.acc_seg": 63.34324, "loss": 0.78412, "time": 0.7394} -{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.50294, "decode.acc_seg": 65.53112, "aux.loss_seg": 0.23075, "aux.acc_seg": 63.88283, "loss": 0.73369, "time": 0.73406} -{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.51487, "decode.acc_seg": 64.02802, "aux.loss_seg": 0.23638, "aux.acc_seg": 62.51894, "loss": 0.75125, "time": 0.73509} -{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.51814, "decode.acc_seg": 64.94729, "aux.loss_seg": 0.23721, "aux.acc_seg": 63.57427, "loss": 0.75534, "time": 0.73714} -{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.51723, "decode.acc_seg": 65.34368, "aux.loss_seg": 0.23461, "aux.acc_seg": 63.97498, "loss": 0.75185, "time": 0.73549} -{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.49263, "decode.acc_seg": 64.3096, "aux.loss_seg": 0.22576, "aux.acc_seg": 62.78016, "loss": 0.71838, "time": 0.73912} -{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.50244, "decode.acc_seg": 64.50097, "aux.loss_seg": 0.23184, "aux.acc_seg": 62.89278, "loss": 0.73428, "time": 0.73444} -{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.52026, "decode.acc_seg": 65.56343, "aux.loss_seg": 0.2381, "aux.acc_seg": 64.24244, "loss": 0.75836, "time": 0.7363} -{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.49583, "decode.acc_seg": 65.34841, "aux.loss_seg": 0.22572, "aux.acc_seg": 63.94269, "loss": 0.72155, "time": 0.73082} -{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.4935, "decode.acc_seg": 66.19026, "aux.loss_seg": 0.22363, "aux.acc_seg": 64.72311, "loss": 0.71714, "time": 0.72945} -{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.49678, "decode.acc_seg": 67.13791, "aux.loss_seg": 0.22678, "aux.acc_seg": 65.85569, "loss": 0.72356, "time": 0.7368} -{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.47608, "decode.acc_seg": 65.16947, "aux.loss_seg": 0.21887, "aux.acc_seg": 63.68972, "loss": 0.69494, "time": 0.74114} -{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.50322, "decode.acc_seg": 64.92127, "aux.loss_seg": 0.23122, "aux.acc_seg": 63.47314, "loss": 0.73444, "time": 0.73842} -{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 26851, "data_time": 0.0092, "decode.loss_seg": 0.47998, "decode.acc_seg": 65.34884, "aux.loss_seg": 0.22111, "aux.acc_seg": 63.75894, "loss": 0.70109, "time": 0.73405} -{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.49719, "decode.acc_seg": 66.29078, "aux.loss_seg": 0.22777, "aux.acc_seg": 64.81854, "loss": 0.72497, "time": 0.73268} -{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.49469, "decode.acc_seg": 65.12252, "aux.loss_seg": 0.22555, "aux.acc_seg": 63.6515, "loss": 0.72024, "time": 0.73084} -{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.50115, "decode.acc_seg": 65.82713, "aux.loss_seg": 0.23, "aux.acc_seg": 64.39236, "loss": 0.73115, "time": 0.74211} -{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.51715, "decode.acc_seg": 65.60671, "aux.loss_seg": 0.23701, "aux.acc_seg": 64.11682, "loss": 0.75416, "time": 0.74137} -{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 26851, "data_time": 0.24253, "decode.loss_seg": 0.50832, "decode.acc_seg": 65.90168, "aux.loss_seg": 0.22994, "aux.acc_seg": 64.44611, "loss": 0.73826, "time": 0.97269} -{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.4759, "decode.acc_seg": 64.92456, "aux.loss_seg": 0.21905, "aux.acc_seg": 63.31303, "loss": 0.69494, "time": 0.72869} -{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.47704, "decode.acc_seg": 64.01834, "aux.loss_seg": 0.21744, "aux.acc_seg": 62.83589, "loss": 0.69447, "time": 0.73105} -{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.4732, "decode.acc_seg": 67.00173, "aux.loss_seg": 0.21946, "aux.acc_seg": 65.38178, "loss": 0.69266, "time": 0.73183} -{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.49845, "decode.acc_seg": 66.15979, "aux.loss_seg": 0.22802, "aux.acc_seg": 64.59194, "loss": 0.72647, "time": 0.73973} -{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.48951, "decode.acc_seg": 64.9726, "aux.loss_seg": 0.22408, "aux.acc_seg": 63.6127, "loss": 0.71358, "time": 0.73901} -{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.49355, "decode.acc_seg": 66.27368, "aux.loss_seg": 0.22616, "aux.acc_seg": 64.59657, "loss": 0.71971, "time": 0.7379} -{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.49323, "decode.acc_seg": 66.07885, "aux.loss_seg": 0.22331, "aux.acc_seg": 64.88775, "loss": 0.71654, "time": 0.74338} -{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.4802, "decode.acc_seg": 66.17989, "aux.loss_seg": 0.22294, "aux.acc_seg": 64.43704, "loss": 0.70315, "time": 0.7382} -{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.48803, "decode.acc_seg": 65.37247, "aux.loss_seg": 0.22279, "aux.acc_seg": 63.89643, "loss": 0.71081, "time": 0.74012} -{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.48711, "decode.acc_seg": 66.30571, "aux.loss_seg": 0.22221, "aux.acc_seg": 65.06281, "loss": 0.70932, "time": 0.73225} -{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.49221, "decode.acc_seg": 65.70069, "aux.loss_seg": 0.22719, "aux.acc_seg": 64.23067, "loss": 0.7194, "time": 0.72797} -{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.46521, "decode.acc_seg": 65.80001, "aux.loss_seg": 0.21388, "aux.acc_seg": 64.19047, "loss": 0.67909, "time": 0.73166} -{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.47637, "decode.acc_seg": 66.33247, "aux.loss_seg": 0.21664, "aux.acc_seg": 64.79492, "loss": 0.69301, "time": 0.73348} -{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.49798, "decode.acc_seg": 65.77736, "aux.loss_seg": 0.22694, "aux.acc_seg": 64.34717, "loss": 0.72492, "time": 0.73468} -{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.46447, "decode.acc_seg": 66.53197, "aux.loss_seg": 0.21343, "aux.acc_seg": 65.29754, "loss": 0.6779, "time": 0.73537} -{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.50286, "decode.acc_seg": 65.44759, "aux.loss_seg": 0.22762, "aux.acc_seg": 64.17616, "loss": 0.73048, "time": 0.73982} -{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.49674, "decode.acc_seg": 65.36589, "aux.loss_seg": 0.22689, "aux.acc_seg": 64.11973, "loss": 0.72364, "time": 0.73634} -{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.50193, "decode.acc_seg": 65.76236, "aux.loss_seg": 0.22909, "aux.acc_seg": 64.44865, "loss": 0.73101, "time": 0.73296} -{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.48991, "decode.acc_seg": 65.33005, "aux.loss_seg": 0.22511, "aux.acc_seg": 63.99667, "loss": 0.71502, "time": 0.73037} -{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.50495, "decode.acc_seg": 65.40727, "aux.loss_seg": 0.22866, "aux.acc_seg": 63.65167, "loss": 0.73361, "time": 0.72787} -{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.51396, "decode.acc_seg": 64.77938, "aux.loss_seg": 0.23465, "aux.acc_seg": 63.23104, "loss": 0.74862, "time": 0.732} -{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.47957, "decode.acc_seg": 65.07843, "aux.loss_seg": 0.21849, "aux.acc_seg": 63.84607, "loss": 0.69806, "time": 0.73496} -{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.52854, "decode.acc_seg": 64.93896, "aux.loss_seg": 0.2382, "aux.acc_seg": 63.70337, "loss": 0.76674, "time": 0.73814} -{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.50137, "decode.acc_seg": 66.65815, "aux.loss_seg": 0.22854, "aux.acc_seg": 65.28352, "loss": 0.72991, "time": 0.73682} -{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 26851, "data_time": 0.25108, "decode.loss_seg": 0.50115, "decode.acc_seg": 66.67314, "aux.loss_seg": 0.23268, "aux.acc_seg": 65.02357, "loss": 0.73382, "time": 0.97399} -{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.4745, "decode.acc_seg": 66.08397, "aux.loss_seg": 0.21913, "aux.acc_seg": 64.6484, "loss": 0.69363, "time": 0.72913} -{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 26851, "data_time": 0.00913, "decode.loss_seg": 0.45903, "decode.acc_seg": 68.07887, "aux.loss_seg": 0.21441, "aux.acc_seg": 66.34587, "loss": 0.67344, "time": 0.73433} -{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.45882, "decode.acc_seg": 65.99727, "aux.loss_seg": 0.21129, "aux.acc_seg": 64.65255, "loss": 0.67011, "time": 0.73415} -{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.49062, "decode.acc_seg": 65.84813, "aux.loss_seg": 0.22102, "aux.acc_seg": 64.68093, "loss": 0.71164, "time": 0.73526} -{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.47991, "decode.acc_seg": 65.04567, "aux.loss_seg": 0.21935, "aux.acc_seg": 63.76309, "loss": 0.69926, "time": 0.73631} -{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.4566, "decode.acc_seg": 66.19043, "aux.loss_seg": 0.21413, "aux.acc_seg": 64.49022, "loss": 0.67074, "time": 0.73252} -{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.48128, "decode.acc_seg": 65.06178, "aux.loss_seg": 0.22341, "aux.acc_seg": 63.53831, "loss": 0.70468, "time": 0.73814} -{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.51937, "decode.acc_seg": 64.48981, "aux.loss_seg": 0.23646, "aux.acc_seg": 63.11828, "loss": 0.75583, "time": 0.73486} -{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.46312, "decode.acc_seg": 68.3041, "aux.loss_seg": 0.21361, "aux.acc_seg": 66.85083, "loss": 0.67673, "time": 0.73562} -{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.50784, "decode.acc_seg": 64.43179, "aux.loss_seg": 0.23259, "aux.acc_seg": 62.91386, "loss": 0.74043, "time": 0.73633} -{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.47109, "decode.acc_seg": 64.99177, "aux.loss_seg": 0.21529, "aux.acc_seg": 63.1331, "loss": 0.68638, "time": 0.74006} -{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.45822, "decode.acc_seg": 66.07885, "aux.loss_seg": 0.21219, "aux.acc_seg": 64.58011, "loss": 0.67041, "time": 0.73372} -{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.4799, "decode.acc_seg": 65.74368, "aux.loss_seg": 0.22048, "aux.acc_seg": 64.42044, "loss": 0.70038, "time": 0.73593} -{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.46003, "decode.acc_seg": 67.12131, "aux.loss_seg": 0.21444, "aux.acc_seg": 65.53293, "loss": 0.67447, "time": 0.73436} -{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.46251, "decode.acc_seg": 66.40988, "aux.loss_seg": 0.21424, "aux.acc_seg": 65.17938, "loss": 0.67675, "time": 0.73433} -{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.48965, "decode.acc_seg": 65.08055, "aux.loss_seg": 0.22262, "aux.acc_seg": 63.70889, "loss": 0.71226, "time": 0.73462} -{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.48615, "decode.acc_seg": 64.74242, "aux.loss_seg": 0.22235, "aux.acc_seg": 63.35436, "loss": 0.70849, "time": 0.73438} -{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.47047, "decode.acc_seg": 66.5423, "aux.loss_seg": 0.21418, "aux.acc_seg": 65.27121, "loss": 0.68464, "time": 0.73904} -{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.47994, "decode.acc_seg": 65.59182, "aux.loss_seg": 0.21962, "aux.acc_seg": 64.09239, "loss": 0.69957, "time": 0.72757} -{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.51277, "decode.acc_seg": 66.23471, "aux.loss_seg": 0.23171, "aux.acc_seg": 64.97541, "loss": 0.74449, "time": 0.72691} -{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.49332, "decode.acc_seg": 66.11609, "aux.loss_seg": 0.22402, "aux.acc_seg": 64.64115, "loss": 0.71734, "time": 0.72838} -{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.50032, "decode.acc_seg": 65.60887, "aux.loss_seg": 0.22689, "aux.acc_seg": 64.19172, "loss": 0.7272, "time": 0.73791} -{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.48935, "decode.acc_seg": 66.29748, "aux.loss_seg": 0.22746, "aux.acc_seg": 64.53427, "loss": 0.71681, "time": 0.73659} -{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.48735, "decode.acc_seg": 67.10814, "aux.loss_seg": 0.22364, "aux.acc_seg": 65.46272, "loss": 0.71098, "time": 0.74024} -{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.48703, "decode.acc_seg": 66.69264, "aux.loss_seg": 0.22126, "aux.acc_seg": 65.12838, "loss": 0.70828, "time": 0.74002} -{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 26851, "data_time": 0.24359, "decode.loss_seg": 0.46799, "decode.acc_seg": 66.74144, "aux.loss_seg": 0.21868, "aux.acc_seg": 64.88183, "loss": 0.68667, "time": 0.96825} -{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.44772, "decode.acc_seg": 68.01571, "aux.loss_seg": 0.2085, "aux.acc_seg": 66.50354, "loss": 0.65622, "time": 0.73281} -{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.44926, "decode.acc_seg": 67.29432, "aux.loss_seg": 0.21124, "aux.acc_seg": 65.4804, "loss": 0.6605, "time": 0.73447} -{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.45219, "decode.acc_seg": 65.919, "aux.loss_seg": 0.20803, "aux.acc_seg": 64.84853, "loss": 0.66022, "time": 0.73704} -{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.47026, "decode.acc_seg": 66.31659, "aux.loss_seg": 0.21404, "aux.acc_seg": 64.84667, "loss": 0.6843, "time": 0.73923} -{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.44675, "decode.acc_seg": 66.43383, "aux.loss_seg": 0.20903, "aux.acc_seg": 64.93019, "loss": 0.65578, "time": 0.73442} -{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.45996, "decode.acc_seg": 66.3914, "aux.loss_seg": 0.21436, "aux.acc_seg": 64.84879, "loss": 0.67432, "time": 0.73522} -{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.4786, "decode.acc_seg": 67.40723, "aux.loss_seg": 0.22238, "aux.acc_seg": 65.51773, "loss": 0.70098, "time": 0.73265} -{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.45456, "decode.acc_seg": 66.45104, "aux.loss_seg": 0.21331, "aux.acc_seg": 64.67157, "loss": 0.66787, "time": 0.73422} -{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.45399, "decode.acc_seg": 66.30656, "aux.loss_seg": 0.21119, "aux.acc_seg": 64.90861, "loss": 0.66517, "time": 0.73616} -{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.46552, "decode.acc_seg": 66.68326, "aux.loss_seg": 0.21859, "aux.acc_seg": 65.0029, "loss": 0.68411, "time": 0.73423} -{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.47383, "decode.acc_seg": 65.19564, "aux.loss_seg": 0.2178, "aux.acc_seg": 63.7218, "loss": 0.69163, "time": 0.72805} -{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.52105, "decode.acc_seg": 65.22445, "aux.loss_seg": 0.23824, "aux.acc_seg": 63.50494, "loss": 0.75929, "time": 0.72869} -{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.47767, "decode.acc_seg": 66.47435, "aux.loss_seg": 0.21723, "aux.acc_seg": 65.15196, "loss": 0.6949, "time": 0.73067} -{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.47746, "decode.acc_seg": 67.03302, "aux.loss_seg": 0.21703, "aux.acc_seg": 65.3932, "loss": 0.69449, "time": 0.73039} -{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.44568, "decode.acc_seg": 67.35651, "aux.loss_seg": 0.20578, "aux.acc_seg": 65.98892, "loss": 0.65146, "time": 0.73633} -{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.47724, "decode.acc_seg": 67.08206, "aux.loss_seg": 0.21634, "aux.acc_seg": 65.87218, "loss": 0.69358, "time": 0.73395} -{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.45944, "decode.acc_seg": 67.0107, "aux.loss_seg": 0.21281, "aux.acc_seg": 65.62836, "loss": 0.67225, "time": 0.73132} -{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.47743, "decode.acc_seg": 67.04904, "aux.loss_seg": 0.21864, "aux.acc_seg": 65.43817, "loss": 0.69607, "time": 0.72858} -{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.47892, "decode.acc_seg": 66.58849, "aux.loss_seg": 0.21847, "aux.acc_seg": 65.04385, "loss": 0.69739, "time": 0.72705} -{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.47581, "decode.acc_seg": 65.95535, "aux.loss_seg": 0.22093, "aux.acc_seg": 64.5218, "loss": 0.69674, "time": 0.73403} -{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.48452, "decode.acc_seg": 66.15249, "aux.loss_seg": 0.22219, "aux.acc_seg": 65.02014, "loss": 0.70671, "time": 0.7344} -{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.46283, "decode.acc_seg": 66.4976, "aux.loss_seg": 0.21015, "aux.acc_seg": 65.22816, "loss": 0.67298, "time": 0.73298} -{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.46334, "decode.acc_seg": 65.87101, "aux.loss_seg": 0.21179, "aux.acc_seg": 64.43787, "loss": 0.67513, "time": 0.73424} -{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.489, "decode.acc_seg": 67.12997, "aux.loss_seg": 0.22127, "aux.acc_seg": 65.91562, "loss": 0.71027, "time": 0.73589} -{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 26851, "data_time": 0.24996, "decode.loss_seg": 0.4476, "decode.acc_seg": 66.76413, "aux.loss_seg": 0.2089, "aux.acc_seg": 65.05351, "loss": 0.6565, "time": 0.97737} -{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.44455, "decode.acc_seg": 67.63907, "aux.loss_seg": 0.20753, "aux.acc_seg": 66.09514, "loss": 0.65209, "time": 0.7299} -{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.45655, "decode.acc_seg": 66.11564, "aux.loss_seg": 0.21183, "aux.acc_seg": 64.43772, "loss": 0.66838, "time": 0.7323} -{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.46383, "decode.acc_seg": 67.37913, "aux.loss_seg": 0.21202, "aux.acc_seg": 66.07698, "loss": 0.67585, "time": 0.728} -{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.43733, "decode.acc_seg": 67.48222, "aux.loss_seg": 0.20742, "aux.acc_seg": 65.76916, "loss": 0.64476, "time": 0.73404} -{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.43651, "decode.acc_seg": 67.67386, "aux.loss_seg": 0.20594, "aux.acc_seg": 65.92368, "loss": 0.64245, "time": 0.72339} -{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.44652, "decode.acc_seg": 67.55819, "aux.loss_seg": 0.21052, "aux.acc_seg": 65.74895, "loss": 0.65704, "time": 0.73407} -{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.45889, "decode.acc_seg": 67.1071, "aux.loss_seg": 0.20942, "aux.acc_seg": 65.72157, "loss": 0.66831, "time": 0.73687} -{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.45244, "decode.acc_seg": 67.25986, "aux.loss_seg": 0.20923, "aux.acc_seg": 65.70961, "loss": 0.66166, "time": 0.73716} -{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.47604, "decode.acc_seg": 65.51419, "aux.loss_seg": 0.2223, "aux.acc_seg": 63.85418, "loss": 0.69834, "time": 0.73957} -{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.45344, "decode.acc_seg": 66.89208, "aux.loss_seg": 0.21048, "aux.acc_seg": 65.11923, "loss": 0.66391, "time": 0.73461} -{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.48558, "decode.acc_seg": 66.32587, "aux.loss_seg": 0.22586, "aux.acc_seg": 64.77867, "loss": 0.71144, "time": 0.73031} -{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.49476, "decode.acc_seg": 64.02749, "aux.loss_seg": 0.2252, "aux.acc_seg": 62.73599, "loss": 0.71996, "time": 0.73042} -{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.48828, "decode.acc_seg": 67.11117, "aux.loss_seg": 0.23038, "aux.acc_seg": 65.15424, "loss": 0.71867, "time": 0.73869} -{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.46031, "decode.acc_seg": 66.8209, "aux.loss_seg": 0.2108, "aux.acc_seg": 65.51585, "loss": 0.67111, "time": 0.73748} -{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.47205, "decode.acc_seg": 66.63012, "aux.loss_seg": 0.21672, "aux.acc_seg": 65.13074, "loss": 0.68877, "time": 0.73838} -{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.44633, "decode.acc_seg": 65.97065, "aux.loss_seg": 0.20397, "aux.acc_seg": 64.90433, "loss": 0.6503, "time": 0.73659} -{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.48576, "decode.acc_seg": 66.38927, "aux.loss_seg": 0.22435, "aux.acc_seg": 64.87098, "loss": 0.71012, "time": 0.73699} -{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.47132, "decode.acc_seg": 67.46508, "aux.loss_seg": 0.21913, "aux.acc_seg": 65.68529, "loss": 0.69045, "time": 0.73581} -{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.49445, "decode.acc_seg": 64.51172, "aux.loss_seg": 0.22429, "aux.acc_seg": 62.90923, "loss": 0.71874, "time": 0.72763} -{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.46636, "decode.acc_seg": 64.50972, "aux.loss_seg": 0.2146, "aux.acc_seg": 63.02343, "loss": 0.68097, "time": 0.73031} -{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.50769, "decode.acc_seg": 66.95933, "aux.loss_seg": 0.23417, "aux.acc_seg": 65.1218, "loss": 0.74186, "time": 0.73842} -{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.4663, "decode.acc_seg": 66.0512, "aux.loss_seg": 0.21543, "aux.acc_seg": 64.36472, "loss": 0.68174, "time": 0.7347} -{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.464, "decode.acc_seg": 65.6722, "aux.loss_seg": 0.21652, "aux.acc_seg": 64.16893, "loss": 0.68052, "time": 0.73763} -{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.46596, "decode.acc_seg": 66.09257, "aux.loss_seg": 0.21111, "aux.acc_seg": 64.89261, "loss": 0.67707, "time": 0.7328} -{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 26851, "data_time": 0.2446, "decode.loss_seg": 0.47994, "decode.acc_seg": 66.76347, "aux.loss_seg": 0.22169, "aux.acc_seg": 65.01311, "loss": 0.70162, "time": 0.96233} -{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.43943, "decode.acc_seg": 66.69946, "aux.loss_seg": 0.21052, "aux.acc_seg": 64.76642, "loss": 0.64995, "time": 0.72599} -{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.44807, "decode.acc_seg": 66.56773, "aux.loss_seg": 0.207, "aux.acc_seg": 65.07321, "loss": 0.65507, "time": 0.72862} -{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.43122, "decode.acc_seg": 67.75793, "aux.loss_seg": 0.20079, "aux.acc_seg": 66.01177, "loss": 0.63201, "time": 0.73269} -{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.43343, "decode.acc_seg": 68.30636, "aux.loss_seg": 0.20409, "aux.acc_seg": 66.5845, "loss": 0.63752, "time": 0.7312} -{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.43576, "decode.acc_seg": 67.29376, "aux.loss_seg": 0.20139, "aux.acc_seg": 65.84541, "loss": 0.63716, "time": 0.73599} -{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.45867, "decode.acc_seg": 66.81492, "aux.loss_seg": 0.21328, "aux.acc_seg": 65.07985, "loss": 0.67195, "time": 0.73473} -{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.44029, "decode.acc_seg": 68.97275, "aux.loss_seg": 0.20713, "aux.acc_seg": 67.28924, "loss": 0.64742, "time": 0.73394} -{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.46319, "decode.acc_seg": 67.84839, "aux.loss_seg": 0.21546, "aux.acc_seg": 66.18675, "loss": 0.67865, "time": 0.72573} -{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.43096, "decode.acc_seg": 67.8766, "aux.loss_seg": 0.19837, "aux.acc_seg": 66.32012, "loss": 0.62933, "time": 0.72809} -{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.46032, "decode.acc_seg": 67.65107, "aux.loss_seg": 0.21332, "aux.acc_seg": 66.18838, "loss": 0.67364, "time": 0.73232} -{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.43374, "decode.acc_seg": 65.80385, "aux.loss_seg": 0.20247, "aux.acc_seg": 64.2759, "loss": 0.63621, "time": 0.73094} -{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.45638, "decode.acc_seg": 65.48934, "aux.loss_seg": 0.2106, "aux.acc_seg": 64.14866, "loss": 0.66698, "time": 0.73956} -{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.44494, "decode.acc_seg": 67.99759, "aux.loss_seg": 0.20987, "aux.acc_seg": 66.3462, "loss": 0.65481, "time": 0.74189} -{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.45673, "decode.acc_seg": 67.13514, "aux.loss_seg": 0.21107, "aux.acc_seg": 65.56349, "loss": 0.6678, "time": 0.7321} -{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.44891, "decode.acc_seg": 68.12784, "aux.loss_seg": 0.20698, "aux.acc_seg": 66.75288, "loss": 0.65589, "time": 0.73456} -{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.42688, "decode.acc_seg": 67.62084, "aux.loss_seg": 0.19988, "aux.acc_seg": 66.12644, "loss": 0.62676, "time": 0.72772} -{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.44996, "decode.acc_seg": 66.62938, "aux.loss_seg": 0.20928, "aux.acc_seg": 65.05238, "loss": 0.65924, "time": 0.72435} -{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.45949, "decode.acc_seg": 67.40841, "aux.loss_seg": 0.21068, "aux.acc_seg": 65.97517, "loss": 0.67018, "time": 0.72988} -{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.45031, "decode.acc_seg": 66.75944, "aux.loss_seg": 0.21268, "aux.acc_seg": 65.03641, "loss": 0.66299, "time": 0.7324} -{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.44857, "decode.acc_seg": 66.08749, "aux.loss_seg": 0.20841, "aux.acc_seg": 64.79505, "loss": 0.65698, "time": 0.734} -{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.44846, "decode.acc_seg": 66.12799, "aux.loss_seg": 0.21238, "aux.acc_seg": 64.47232, "loss": 0.66085, "time": 0.73261} -{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.44082, "decode.acc_seg": 67.27791, "aux.loss_seg": 0.20419, "aux.acc_seg": 65.84637, "loss": 0.64501, "time": 0.73281} -{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.4549, "decode.acc_seg": 65.74443, "aux.loss_seg": 0.20894, "aux.acc_seg": 64.34105, "loss": 0.66384, "time": 0.73008} -{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.48655, "decode.acc_seg": 65.623, "aux.loss_seg": 0.22576, "aux.acc_seg": 64.01913, "loss": 0.71232, "time": 0.72497} -{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 26851, "data_time": 0.24581, "decode.loss_seg": 0.42833, "decode.acc_seg": 66.8234, "aux.loss_seg": 0.19748, "aux.acc_seg": 65.37908, "loss": 0.62581, "time": 0.96876} -{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.42959, "decode.acc_seg": 68.15201, "aux.loss_seg": 0.20247, "aux.acc_seg": 66.5497, "loss": 0.63206, "time": 0.73095} -{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.4422, "decode.acc_seg": 68.09534, "aux.loss_seg": 0.20515, "aux.acc_seg": 66.55088, "loss": 0.64734, "time": 0.7331} -{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.43871, "decode.acc_seg": 67.38806, "aux.loss_seg": 0.2018, "aux.acc_seg": 66.18407, "loss": 0.6405, "time": 0.73808} -{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.42928, "decode.acc_seg": 68.31038, "aux.loss_seg": 0.20342, "aux.acc_seg": 66.63994, "loss": 0.6327, "time": 0.73702} -{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.42193, "decode.acc_seg": 66.73768, "aux.loss_seg": 0.1964, "aux.acc_seg": 65.24261, "loss": 0.61833, "time": 0.73388} -{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.40895, "decode.acc_seg": 66.44119, "aux.loss_seg": 0.19149, "aux.acc_seg": 64.97358, "loss": 0.60044, "time": 0.73389} -{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.43969, "decode.acc_seg": 67.3887, "aux.loss_seg": 0.20385, "aux.acc_seg": 65.93832, "loss": 0.64354, "time": 0.7292} -{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.43901, "decode.acc_seg": 66.46001, "aux.loss_seg": 0.20706, "aux.acc_seg": 64.71683, "loss": 0.64607, "time": 0.72442} -{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.41435, "decode.acc_seg": 67.60969, "aux.loss_seg": 0.19324, "aux.acc_seg": 66.12016, "loss": 0.6076, "time": 0.73053} -{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.45033, "decode.acc_seg": 65.73663, "aux.loss_seg": 0.21051, "aux.acc_seg": 64.15139, "loss": 0.66085, "time": 0.7393} -{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.43468, "decode.acc_seg": 67.1617, "aux.loss_seg": 0.19732, "aux.acc_seg": 66.00572, "loss": 0.632, "time": 0.73137} -{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.4527, "decode.acc_seg": 65.92241, "aux.loss_seg": 0.20983, "aux.acc_seg": 64.62333, "loss": 0.66253, "time": 0.73998} -{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.44742, "decode.acc_seg": 66.67085, "aux.loss_seg": 0.21082, "aux.acc_seg": 64.96919, "loss": 0.65824, "time": 0.73702} -{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.44649, "decode.acc_seg": 66.24953, "aux.loss_seg": 0.20623, "aux.acc_seg": 64.57179, "loss": 0.65272, "time": 0.72749} -{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.43602, "decode.acc_seg": 68.53129, "aux.loss_seg": 0.20138, "aux.acc_seg": 67.17743, "loss": 0.6374, "time": 0.72662} -{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.42751, "decode.acc_seg": 66.76121, "aux.loss_seg": 0.20201, "aux.acc_seg": 65.18885, "loss": 0.62952, "time": 0.72938} -{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.43815, "decode.acc_seg": 66.50276, "aux.loss_seg": 0.20565, "aux.acc_seg": 64.82649, "loss": 0.6438, "time": 0.73361} -{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.43205, "decode.acc_seg": 67.44011, "aux.loss_seg": 0.20368, "aux.acc_seg": 65.80885, "loss": 0.63572, "time": 0.73101} -{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.43716, "decode.acc_seg": 67.40729, "aux.loss_seg": 0.20326, "aux.acc_seg": 65.96339, "loss": 0.64042, "time": 0.73353} -{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.4324, "decode.acc_seg": 67.92321, "aux.loss_seg": 0.20371, "aux.acc_seg": 66.09336, "loss": 0.63611, "time": 0.73409} -{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.44781, "decode.acc_seg": 66.19163, "aux.loss_seg": 0.20597, "aux.acc_seg": 64.82159, "loss": 0.65377, "time": 0.74049} -{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.45059, "decode.acc_seg": 66.26216, "aux.loss_seg": 0.2105, "aux.acc_seg": 64.7692, "loss": 0.66109, "time": 0.7346} -{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.4626, "decode.acc_seg": 66.62497, "aux.loss_seg": 0.212, "aux.acc_seg": 65.22099, "loss": 0.67459, "time": 0.7319} -{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.46137, "decode.acc_seg": 68.52931, "aux.loss_seg": 0.21245, "aux.acc_seg": 67.07221, "loss": 0.67383, "time": 0.7357} -{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.43564, "decode.acc_seg": 67.24252, "aux.loss_seg": 0.20163, "aux.acc_seg": 65.80837, "loss": 0.63727, "time": 0.73326} -{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 26851, "data_time": 0.25303, "decode.loss_seg": 0.43001, "decode.acc_seg": 67.05181, "aux.loss_seg": 0.20214, "aux.acc_seg": 65.37895, "loss": 0.63215, "time": 0.97386} -{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.40639, "decode.acc_seg": 67.54462, "aux.loss_seg": 0.19271, "aux.acc_seg": 65.91062, "loss": 0.5991, "time": 0.73108} -{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.40943, "decode.acc_seg": 66.89592, "aux.loss_seg": 0.19251, "aux.acc_seg": 65.30335, "loss": 0.60194, "time": 0.73685} -{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.40851, "decode.acc_seg": 67.21536, "aux.loss_seg": 0.18826, "aux.acc_seg": 65.90322, "loss": 0.59677, "time": 0.73545} -{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.43436, "decode.acc_seg": 67.4525, "aux.loss_seg": 0.19881, "aux.acc_seg": 66.16997, "loss": 0.63316, "time": 0.73302} -{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.43034, "decode.acc_seg": 67.45763, "aux.loss_seg": 0.19839, "aux.acc_seg": 66.42426, "loss": 0.62873, "time": 0.73569} -{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.42849, "decode.acc_seg": 68.18096, "aux.loss_seg": 0.19939, "aux.acc_seg": 66.53133, "loss": 0.62789, "time": 0.74009} -{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.39292, "decode.acc_seg": 68.00099, "aux.loss_seg": 0.1849, "aux.acc_seg": 66.52182, "loss": 0.57782, "time": 0.73745} -{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.45955, "decode.acc_seg": 64.99265, "aux.loss_seg": 0.21392, "aux.acc_seg": 63.59993, "loss": 0.67348, "time": 0.72927} -{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.43269, "decode.acc_seg": 67.09834, "aux.loss_seg": 0.2021, "aux.acc_seg": 65.5092, "loss": 0.63479, "time": 0.73334} -{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.44689, "decode.acc_seg": 66.38173, "aux.loss_seg": 0.20767, "aux.acc_seg": 64.78942, "loss": 0.65455, "time": 0.73189} -{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.44631, "decode.acc_seg": 68.21208, "aux.loss_seg": 0.20728, "aux.acc_seg": 66.59095, "loss": 0.6536, "time": 0.7385} -{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.40681, "decode.acc_seg": 66.19136, "aux.loss_seg": 0.19151, "aux.acc_seg": 64.56908, "loss": 0.59833, "time": 0.73021} -{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.40929, "decode.acc_seg": 68.32893, "aux.loss_seg": 0.19436, "aux.acc_seg": 66.77917, "loss": 0.60365, "time": 0.7311} -{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.41671, "decode.acc_seg": 67.29244, "aux.loss_seg": 0.19104, "aux.acc_seg": 65.92797, "loss": 0.60775, "time": 0.73247} -{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.43234, "decode.acc_seg": 66.82272, "aux.loss_seg": 0.20258, "aux.acc_seg": 65.27957, "loss": 0.63492, "time": 0.739} -{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.46709, "decode.acc_seg": 67.63077, "aux.loss_seg": 0.21533, "aux.acc_seg": 66.14547, "loss": 0.68242, "time": 0.72664} -{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.44144, "decode.acc_seg": 66.9362, "aux.loss_seg": 0.20525, "aux.acc_seg": 65.35211, "loss": 0.64669, "time": 0.7298} -{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.42127, "decode.acc_seg": 67.92151, "aux.loss_seg": 0.19479, "aux.acc_seg": 66.60489, "loss": 0.61606, "time": 0.73161} -{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.42927, "decode.acc_seg": 66.7861, "aux.loss_seg": 0.19773, "aux.acc_seg": 65.50929, "loss": 0.627, "time": 0.7391} -{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.42362, "decode.acc_seg": 67.64765, "aux.loss_seg": 0.20038, "aux.acc_seg": 66.06092, "loss": 0.624, "time": 0.73682} -{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.41732, "decode.acc_seg": 68.70049, "aux.loss_seg": 0.19561, "aux.acc_seg": 66.97931, "loss": 0.61293, "time": 0.73664} -{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.44182, "decode.acc_seg": 65.5435, "aux.loss_seg": 0.20777, "aux.acc_seg": 63.93554, "loss": 0.64959, "time": 0.73749} -{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.4244, "decode.acc_seg": 67.94841, "aux.loss_seg": 0.19794, "aux.acc_seg": 66.36895, "loss": 0.62234, "time": 0.72987} -{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.44437, "decode.acc_seg": 67.67793, "aux.loss_seg": 0.21048, "aux.acc_seg": 65.72445, "loss": 0.65485, "time": 0.72869} -{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 26851, "data_time": 0.24878, "decode.loss_seg": 0.44035, "decode.acc_seg": 67.41099, "aux.loss_seg": 0.20486, "aux.acc_seg": 65.79076, "loss": 0.64521, "time": 0.96671} -{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.43642, "decode.acc_seg": 67.02289, "aux.loss_seg": 0.20334, "aux.acc_seg": 65.28638, "loss": 0.63976, "time": 0.73303} -{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.42226, "decode.acc_seg": 68.50742, "aux.loss_seg": 0.19649, "aux.acc_seg": 66.90651, "loss": 0.61875, "time": 0.73199} -{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.43088, "decode.acc_seg": 67.03967, "aux.loss_seg": 0.20227, "aux.acc_seg": 65.57454, "loss": 0.63315, "time": 0.73057} -{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.40567, "decode.acc_seg": 68.36704, "aux.loss_seg": 0.19368, "aux.acc_seg": 66.5273, "loss": 0.59935, "time": 0.72897} -{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.39466, "decode.acc_seg": 67.19296, "aux.loss_seg": 0.18849, "aux.acc_seg": 65.19573, "loss": 0.58315, "time": 0.73366} -{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.41842, "decode.acc_seg": 67.7595, "aux.loss_seg": 0.19907, "aux.acc_seg": 66.08009, "loss": 0.61749, "time": 0.73299} -{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.41361, "decode.acc_seg": 67.4259, "aux.loss_seg": 0.19705, "aux.acc_seg": 65.57293, "loss": 0.61066, "time": 0.74287} -{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.41046, "decode.acc_seg": 67.5638, "aux.loss_seg": 0.18889, "aux.acc_seg": 66.40742, "loss": 0.59935, "time": 0.73121} -{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.39581, "decode.acc_seg": 67.06764, "aux.loss_seg": 0.18532, "aux.acc_seg": 65.74357, "loss": 0.58113, "time": 0.72758} -{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.39478, "decode.acc_seg": 68.93402, "aux.loss_seg": 0.18576, "aux.acc_seg": 67.43598, "loss": 0.58053, "time": 0.73277} -{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.42995, "decode.acc_seg": 68.28053, "aux.loss_seg": 0.19828, "aux.acc_seg": 66.60872, "loss": 0.62823, "time": 0.73579} -{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.45283, "decode.acc_seg": 66.27124, "aux.loss_seg": 0.21046, "aux.acc_seg": 64.94318, "loss": 0.66328, "time": 0.73852} -{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.41797, "decode.acc_seg": 67.98932, "aux.loss_seg": 0.19297, "aux.acc_seg": 66.46669, "loss": 0.61094, "time": 0.7351} -{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.42611, "decode.acc_seg": 67.59389, "aux.loss_seg": 0.19879, "aux.acc_seg": 66.08592, "loss": 0.6249, "time": 0.73694} -{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.44462, "decode.acc_seg": 68.44093, "aux.loss_seg": 0.20433, "aux.acc_seg": 66.92556, "loss": 0.64895, "time": 0.73266} -{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.43594, "decode.acc_seg": 68.10096, "aux.loss_seg": 0.20535, "aux.acc_seg": 66.34351, "loss": 0.64129, "time": 0.7282} -{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.41938, "decode.acc_seg": 67.31371, "aux.loss_seg": 0.19538, "aux.acc_seg": 65.76846, "loss": 0.61477, "time": 0.72971} -{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.42175, "decode.acc_seg": 68.59285, "aux.loss_seg": 0.20135, "aux.acc_seg": 66.82629, "loss": 0.6231, "time": 0.73196} -{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.41456, "decode.acc_seg": 66.08719, "aux.loss_seg": 0.19699, "aux.acc_seg": 64.52681, "loss": 0.61155, "time": 0.73326} -{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.43048, "decode.acc_seg": 66.31104, "aux.loss_seg": 0.20503, "aux.acc_seg": 64.5043, "loss": 0.63552, "time": 0.73232} -{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.43762, "decode.acc_seg": 66.05362, "aux.loss_seg": 0.20097, "aux.acc_seg": 64.63234, "loss": 0.63859, "time": 0.73467} -{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.40293, "decode.acc_seg": 68.76143, "aux.loss_seg": 0.18968, "aux.acc_seg": 67.08302, "loss": 0.59261, "time": 0.73163} -{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.42148, "decode.acc_seg": 67.79019, "aux.loss_seg": 0.19413, "aux.acc_seg": 66.53572, "loss": 0.61561, "time": 0.73642} -{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.40576, "decode.acc_seg": 67.96731, "aux.loss_seg": 0.19239, "aux.acc_seg": 66.21844, "loss": 0.59815, "time": 0.73703} -{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 26851, "data_time": 0.25064, "decode.loss_seg": 0.42067, "decode.acc_seg": 68.26427, "aux.loss_seg": 0.19558, "aux.acc_seg": 66.71104, "loss": 0.61624, "time": 0.96925} -{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 26851, "data_time": 0.00978, "decode.loss_seg": 0.40743, "decode.acc_seg": 68.25114, "aux.loss_seg": 0.19372, "aux.acc_seg": 66.49151, "loss": 0.60114, "time": 0.73436} -{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.39618, "decode.acc_seg": 68.54529, "aux.loss_seg": 0.19008, "aux.acc_seg": 66.90215, "loss": 0.58625, "time": 0.73661} -{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.41335, "decode.acc_seg": 67.85253, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.2242, "loss": 0.60772, "time": 0.73133} -{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.39497, "decode.acc_seg": 69.48818, "aux.loss_seg": 0.18679, "aux.acc_seg": 67.86702, "loss": 0.58177, "time": 0.73449} -{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.40461, "decode.acc_seg": 67.4641, "aux.loss_seg": 0.19244, "aux.acc_seg": 65.78478, "loss": 0.59705, "time": 0.73072} -{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.43499, "decode.acc_seg": 66.83503, "aux.loss_seg": 0.201, "aux.acc_seg": 65.3279, "loss": 0.636, "time": 0.73213} -{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.37738, "decode.acc_seg": 67.85713, "aux.loss_seg": 0.17957, "aux.acc_seg": 66.21301, "loss": 0.55695, "time": 0.73794} -{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.4124, "decode.acc_seg": 68.25408, "aux.loss_seg": 0.19212, "aux.acc_seg": 66.99516, "loss": 0.60452, "time": 0.73896} -{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.41444, "decode.acc_seg": 67.96935, "aux.loss_seg": 0.19453, "aux.acc_seg": 66.49493, "loss": 0.60897, "time": 0.73608} -{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.43582, "decode.acc_seg": 67.95391, "aux.loss_seg": 0.20636, "aux.acc_seg": 66.06696, "loss": 0.64218, "time": 0.74053} -{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.43023, "decode.acc_seg": 68.24089, "aux.loss_seg": 0.19929, "aux.acc_seg": 66.74881, "loss": 0.62952, "time": 0.7289} -{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.40813, "decode.acc_seg": 66.22928, "aux.loss_seg": 0.19088, "aux.acc_seg": 64.61544, "loss": 0.59901, "time": 0.72705} -{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.42773, "decode.acc_seg": 67.51536, "aux.loss_seg": 0.20293, "aux.acc_seg": 65.65663, "loss": 0.63066, "time": 0.73316} -{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.41807, "decode.acc_seg": 68.09772, "aux.loss_seg": 0.19525, "aux.acc_seg": 66.43056, "loss": 0.61332, "time": 0.73429} -{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.41896, "decode.acc_seg": 68.44436, "aux.loss_seg": 0.19797, "aux.acc_seg": 66.72511, "loss": 0.61693, "time": 0.7357} -{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.42231, "decode.acc_seg": 67.95274, "aux.loss_seg": 0.19765, "aux.acc_seg": 66.24887, "loss": 0.61996, "time": 0.73436} -{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.42662, "decode.acc_seg": 67.72638, "aux.loss_seg": 0.1984, "aux.acc_seg": 66.31035, "loss": 0.62502, "time": 0.74069} -{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.42499, "decode.acc_seg": 66.03112, "aux.loss_seg": 0.19521, "aux.acc_seg": 64.61665, "loss": 0.6202, "time": 0.73168} -{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.39048, "decode.acc_seg": 69.16784, "aux.loss_seg": 0.18434, "aux.acc_seg": 67.66307, "loss": 0.57482, "time": 0.72701} -{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.4085, "decode.acc_seg": 66.86965, "aux.loss_seg": 0.19153, "aux.acc_seg": 65.33432, "loss": 0.60003, "time": 0.73163} -{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 26851, "data_time": 0.00946, "decode.loss_seg": 0.41645, "decode.acc_seg": 67.23848, "aux.loss_seg": 0.19395, "aux.acc_seg": 65.70196, "loss": 0.6104, "time": 0.73878} -{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.43673, "decode.acc_seg": 67.31626, "aux.loss_seg": 0.20218, "aux.acc_seg": 65.69368, "loss": 0.63891, "time": 0.73172} -{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.43641, "decode.acc_seg": 67.34589, "aux.loss_seg": 0.20129, "aux.acc_seg": 65.95399, "loss": 0.6377, "time": 0.73425} -{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.45852, "decode.acc_seg": 66.82611, "aux.loss_seg": 0.20981, "aux.acc_seg": 65.58929, "loss": 0.66833, "time": 0.7342} -{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 26851, "data_time": 0.24826, "decode.loss_seg": 0.41512, "decode.acc_seg": 70.4403, "aux.loss_seg": 0.19427, "aux.acc_seg": 68.98497, "loss": 0.60939, "time": 0.97388} -{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.39269, "decode.acc_seg": 68.28056, "aux.loss_seg": 0.18721, "aux.acc_seg": 66.69536, "loss": 0.57989, "time": 0.73449} -{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.39324, "decode.acc_seg": 68.44428, "aux.loss_seg": 0.18909, "aux.acc_seg": 66.50816, "loss": 0.58233, "time": 0.7325} -{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.4096, "decode.acc_seg": 68.49462, "aux.loss_seg": 0.19572, "aux.acc_seg": 66.55493, "loss": 0.60533, "time": 0.73072} -{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.43124, "decode.acc_seg": 66.49153, "aux.loss_seg": 0.20554, "aux.acc_seg": 64.52085, "loss": 0.63677, "time": 0.73641} -{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.4195, "decode.acc_seg": 67.45402, "aux.loss_seg": 0.19844, "aux.acc_seg": 65.80385, "loss": 0.61794, "time": 0.73653} -{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.39512, "decode.acc_seg": 69.14654, "aux.loss_seg": 0.18804, "aux.acc_seg": 67.35831, "loss": 0.58317, "time": 0.7346} -{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.38844, "decode.acc_seg": 68.71299, "aux.loss_seg": 0.1835, "aux.acc_seg": 66.98677, "loss": 0.57195, "time": 0.73478} -{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.41696, "decode.acc_seg": 68.43165, "aux.loss_seg": 0.19381, "aux.acc_seg": 66.75046, "loss": 0.61077, "time": 0.73505} -{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.39297, "decode.acc_seg": 68.32777, "aux.loss_seg": 0.18864, "aux.acc_seg": 66.34041, "loss": 0.58161, "time": 0.72983} -{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.41262, "decode.acc_seg": 66.64182, "aux.loss_seg": 0.19332, "aux.acc_seg": 65.11306, "loss": 0.60594, "time": 0.73012} -{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.39921, "decode.acc_seg": 68.22834, "aux.loss_seg": 0.18641, "aux.acc_seg": 66.86912, "loss": 0.58562, "time": 0.73679} -{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.42726, "decode.acc_seg": 67.34001, "aux.loss_seg": 0.19938, "aux.acc_seg": 65.63789, "loss": 0.62665, "time": 0.7348} -{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.416, "decode.acc_seg": 67.69016, "aux.loss_seg": 0.19638, "aux.acc_seg": 65.96803, "loss": 0.61238, "time": 0.73319} -{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.38168, "decode.acc_seg": 68.878, "aux.loss_seg": 0.18187, "aux.acc_seg": 67.1296, "loss": 0.56356, "time": 0.73514} -{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.38309, "decode.acc_seg": 66.93391, "aux.loss_seg": 0.18388, "aux.acc_seg": 65.34774, "loss": 0.56698, "time": 0.73575} -{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.43929, "decode.acc_seg": 69.2659, "aux.loss_seg": 0.20166, "aux.acc_seg": 67.81019, "loss": 0.64096, "time": 0.72739} -{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.40502, "decode.acc_seg": 68.58559, "aux.loss_seg": 0.19148, "aux.acc_seg": 67.0489, "loss": 0.5965, "time": 0.72592} -{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.40847, "decode.acc_seg": 67.74723, "aux.loss_seg": 0.19285, "aux.acc_seg": 66.23595, "loss": 0.60132, "time": 0.73643} -{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.39341, "decode.acc_seg": 68.95787, "aux.loss_seg": 0.18417, "aux.acc_seg": 67.48738, "loss": 0.57758, "time": 0.72884} -{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.40876, "decode.acc_seg": 67.82908, "aux.loss_seg": 0.19288, "aux.acc_seg": 66.23616, "loss": 0.60163, "time": 0.73236} -{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.41553, "decode.acc_seg": 67.34299, "aux.loss_seg": 0.19327, "aux.acc_seg": 65.78628, "loss": 0.6088, "time": 0.73103} -{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.39992, "decode.acc_seg": 67.63973, "aux.loss_seg": 0.18866, "aux.acc_seg": 66.11529, "loss": 0.58858, "time": 0.74192} -{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.4136, "decode.acc_seg": 67.19447, "aux.loss_seg": 0.19296, "aux.acc_seg": 65.62203, "loss": 0.60656, "time": 0.72839} -{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.41973, "decode.acc_seg": 69.17348, "aux.loss_seg": 0.19285, "aux.acc_seg": 67.76467, "loss": 0.61259, "time": 0.72629} -{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.40724, "decode.acc_seg": 68.9457, "aux.loss_seg": 0.1915, "aux.acc_seg": 67.15241, "loss": 0.59874, "time": 0.73827} -{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 26851, "data_time": 0.24258, "decode.loss_seg": 0.3817, "decode.acc_seg": 68.31578, "aux.loss_seg": 0.18152, "aux.acc_seg": 66.65398, "loss": 0.56322, "time": 0.97205} -{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.42986, "decode.acc_seg": 66.82581, "aux.loss_seg": 0.20699, "aux.acc_seg": 64.91996, "loss": 0.63685, "time": 0.73592} -{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.3596, "decode.acc_seg": 68.38852, "aux.loss_seg": 0.17142, "aux.acc_seg": 66.68682, "loss": 0.53102, "time": 0.73319} -{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 26851, "data_time": 0.00905, "decode.loss_seg": 0.37392, "decode.acc_seg": 67.54841, "aux.loss_seg": 0.17876, "aux.acc_seg": 65.94044, "loss": 0.55269, "time": 0.73349} -{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.41727, "decode.acc_seg": 67.91177, "aux.loss_seg": 0.19844, "aux.acc_seg": 66.25895, "loss": 0.61571, "time": 0.73462} -{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.391, "decode.acc_seg": 68.88446, "aux.loss_seg": 0.18425, "aux.acc_seg": 67.19159, "loss": 0.57525, "time": 0.73268} -{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.41256, "decode.acc_seg": 68.19319, "aux.loss_seg": 0.19529, "aux.acc_seg": 66.49123, "loss": 0.60785, "time": 0.73315} -{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.39604, "decode.acc_seg": 68.47484, "aux.loss_seg": 0.1905, "aux.acc_seg": 66.64057, "loss": 0.58654, "time": 0.73284} -{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.38098, "decode.acc_seg": 69.28427, "aux.loss_seg": 0.18164, "aux.acc_seg": 67.63437, "loss": 0.56262, "time": 0.72574} -{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.43373, "decode.acc_seg": 68.42627, "aux.loss_seg": 0.20456, "aux.acc_seg": 66.69789, "loss": 0.63829, "time": 0.72793} -{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.38077, "decode.acc_seg": 67.64929, "aux.loss_seg": 0.17792, "aux.acc_seg": 66.33054, "loss": 0.5587, "time": 0.7294} -{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.41381, "decode.acc_seg": 69.40034, "aux.loss_seg": 0.19104, "aux.acc_seg": 67.90438, "loss": 0.60485, "time": 0.73213} -{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.38264, "decode.acc_seg": 67.7281, "aux.loss_seg": 0.17879, "aux.acc_seg": 66.22163, "loss": 0.56143, "time": 0.73427} -{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.39018, "decode.acc_seg": 68.73897, "aux.loss_seg": 0.1835, "aux.acc_seg": 66.98654, "loss": 0.57368, "time": 0.7352} -{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.40907, "decode.acc_seg": 68.41924, "aux.loss_seg": 0.195, "aux.acc_seg": 66.64923, "loss": 0.60407, "time": 0.7299} -{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.40165, "decode.acc_seg": 69.01285, "aux.loss_seg": 0.18991, "aux.acc_seg": 67.64123, "loss": 0.59155, "time": 0.72963} -{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.39739, "decode.acc_seg": 67.10612, "aux.loss_seg": 0.18795, "aux.acc_seg": 65.3249, "loss": 0.58534, "time": 0.73038} -{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.39342, "decode.acc_seg": 67.11965, "aux.loss_seg": 0.18406, "aux.acc_seg": 65.6287, "loss": 0.57748, "time": 0.72881} -{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.38498, "decode.acc_seg": 69.4349, "aux.loss_seg": 0.18237, "aux.acc_seg": 67.73832, "loss": 0.56735, "time": 0.73036} -{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.39553, "decode.acc_seg": 67.74974, "aux.loss_seg": 0.18783, "aux.acc_seg": 66.24496, "loss": 0.58336, "time": 0.72983} -{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.38477, "decode.acc_seg": 69.04973, "aux.loss_seg": 0.18347, "aux.acc_seg": 67.15131, "loss": 0.56824, "time": 0.73246} -{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.39728, "decode.acc_seg": 69.71036, "aux.loss_seg": 0.18775, "aux.acc_seg": 67.80338, "loss": 0.58502, "time": 0.73648} -{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.4133, "decode.acc_seg": 67.28678, "aux.loss_seg": 0.19274, "aux.acc_seg": 65.78956, "loss": 0.60604, "time": 0.73142} -{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.39879, "decode.acc_seg": 68.90327, "aux.loss_seg": 0.18773, "aux.acc_seg": 67.43922, "loss": 0.58652, "time": 0.72875} -{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.3934, "decode.acc_seg": 68.44051, "aux.loss_seg": 0.18498, "aux.acc_seg": 66.93198, "loss": 0.57838, "time": 0.72564} -{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 26851, "data_time": 0.24442, "decode.loss_seg": 0.41039, "decode.acc_seg": 67.74392, "aux.loss_seg": 0.19378, "aux.acc_seg": 65.96229, "loss": 0.60418, "time": 0.96684} -{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.3893, "decode.acc_seg": 69.7498, "aux.loss_seg": 0.18459, "aux.acc_seg": 68.0348, "loss": 0.57389, "time": 0.72917} -{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.40034, "decode.acc_seg": 69.51302, "aux.loss_seg": 0.19154, "aux.acc_seg": 67.66677, "loss": 0.59188, "time": 0.72913} -{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.38947, "decode.acc_seg": 68.52408, "aux.loss_seg": 0.18363, "aux.acc_seg": 66.90066, "loss": 0.57309, "time": 0.7334} -{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.40973, "decode.acc_seg": 68.09769, "aux.loss_seg": 0.19235, "aux.acc_seg": 66.37533, "loss": 0.60208, "time": 0.73234} -{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.40782, "decode.acc_seg": 67.58672, "aux.loss_seg": 0.19122, "aux.acc_seg": 66.1574, "loss": 0.59904, "time": 0.73779} -{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.38309, "decode.acc_seg": 69.71249, "aux.loss_seg": 0.17953, "aux.acc_seg": 68.2321, "loss": 0.56261, "time": 0.73048} -{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.38965, "decode.acc_seg": 67.89985, "aux.loss_seg": 0.18371, "aux.acc_seg": 66.39555, "loss": 0.57336, "time": 0.72314} -{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4445, "mAcc": 0.5765, "aAcc": 0.8034, "IoU.wall": 0.7454, "IoU.building": 0.7966, "IoU.sky": 0.9356, "IoU.floor": 0.787, "IoU.tree": 0.7353, "IoU.ceiling": 0.8253, "IoU.road": 0.7992, "IoU.bed ": 0.8397, "IoU.windowpane": 0.5764, "IoU.grass": 0.6269, "IoU.cabinet": 0.5373, "IoU.sidewalk": 0.5926, "IoU.person": 0.757, "IoU.earth": 0.3113, "IoU.door": 0.4249, "IoU.table": 0.5121, "IoU.mountain": 0.5418, "IoU.plant": 0.5012, "IoU.curtain": 0.6729, "IoU.chair": 0.4852, "IoU.car": 0.8102, "IoU.water": 0.6188, "IoU.painting": 0.6611, "IoU.sofa": 0.4526, "IoU.shelf": 0.3637, "IoU.house": 0.4177, "IoU.sea": 0.5627, "IoU.mirror": 0.5454, "IoU.rug": 0.6505, "IoU.field": 0.2405, "IoU.armchair": 0.3463, "IoU.seat": 0.608, "IoU.fence": 0.4037, "IoU.desk": 0.4246, "IoU.rock": 0.3729, "IoU.wardrobe": 0.4485, "IoU.lamp": 0.5361, "IoU.bathtub": 0.6758, "IoU.railing": 0.3334, "IoU.cushion": 0.4832, "IoU.base": 0.3083, "IoU.box": 0.2018, "IoU.column": 0.3924, "IoU.signboard": 0.3395, "IoU.chest of drawers": 0.3962, "IoU.counter": 0.3609, "IoU.sand": 0.3371, "IoU.sink": 0.627, "IoU.skyscraper": 0.4391, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5998, "IoU.grandstand": 0.4241, "IoU.path": 0.2423, "IoU.stairs": 0.3113, "IoU.runway": 0.72, "IoU.case": 0.4787, "IoU.pool table": 0.8823, "IoU.pillow": 0.5044, "IoU.screen door": 0.6402, "IoU.stairway": 0.2465, "IoU.river": 0.1935, "IoU.bridge": 0.6626, "IoU.bookcase": 0.3513, "IoU.blind": NaN, "IoU.coffee table": 0.4525, "IoU.toilet": 0.77, "IoU.flower": 0.3438, "IoU.book": 0.4033, "IoU.hill": 0.0508, "IoU.bench": 0.4322, "IoU.countertop": 0.5171, "IoU.stove": 0.6081, "IoU.palm": 0.4439, "IoU.kitchen island": 0.2646, "IoU.computer": 0.6027, "IoU.swivel chair": 0.4165, "IoU.boat": 0.4764, "IoU.bar": 0.4364, "IoU.arcade machine": 0.7054, "IoU.hovel": 0.3371, "IoU.bus": 0.7845, "IoU.towel": 0.5486, "IoU.light": 0.459, "IoU.truck": 0.1632, "IoU.tower": 0.2945, "IoU.chandelier": 0.6232, "IoU.awning": 0.2375, "IoU.streetlight": 0.1633, "IoU.booth": 0.4393, "IoU.television receiver": NaN, "IoU.airplane": 0.5527, "IoU.dirt track": 0.0992, "IoU.apparel": 0.2656, "IoU.pole": 0.1148, "IoU.land": 0.0099, "IoU.bannister": 0.0668, "IoU.escalator": 0.4139, "IoU.ottoman": 0.3582, "IoU.bottle": NaN, "IoU.buffet": 0.4834, "IoU.poster": 0.1191, "IoU.stage": 0.1577, "IoU.van": 0.3748, "IoU.ship": 0.5432, "IoU.fountain": 0.3401, "IoU.conveyer belt": 0.572, "IoU.canopy": 0.0928, "IoU.washer": 0.6906, "IoU.plaything": 0.1883, "IoU.swimming pool": 0.6286, "IoU.stool": 0.2465, "IoU.barrel": 0.4068, "IoU.basket": 0.2474, "IoU.waterfall": 0.5707, "IoU.tent": 0.9336, "IoU.bag": 0.0854, "IoU.minibike": 0.6445, "IoU.cradle": NaN, "IoU.oven": 0.1919, "IoU.ball": 0.4747, "IoU.food": 0.514, "IoU.step": 0.0187, "IoU.tank": 0.4553, "IoU.trade name": 0.1884, "IoU.microwave": 0.6731, "IoU.pot": 0.4465, "IoU.animal": NaN, "IoU.bicycle": 0.5216, "IoU.lake": 0.6216, "IoU.dishwasher": 0.4798, "IoU.screen": 0.6235, "IoU.blanket": 0.148, "IoU.sculpture": 0.533, "IoU.hood": 0.4682, "IoU.sconce": 0.2331, "IoU.vase": 0.3047, "IoU.traffic light": 0.1831, "IoU.tray": 0.0172, "IoU.ashcan": 0.2872, "IoU.fan": 0.5166, "IoU.pier": 0.5666, "IoU.crt screen": 0.097, "IoU.plate": 0.5085, "IoU.monitor": 0.3859, "IoU.bulletin board": 0.4425, "IoU.shower": 0.0, "IoU.radiator": 0.5088, "IoU.glass": 0.1029, "IoU.clock": 0.294, "IoU.flag": 0.4051, "Acc.wall": 0.8659, "Acc.building": 0.9077, "Acc.sky": 0.975, "Acc.floor": 0.8768, "Acc.tree": 0.8677, "Acc.ceiling": 0.8901, "Acc.road": 0.8552, "Acc.bed ": 0.925, "Acc.windowpane": 0.7779, "Acc.grass": 0.7327, "Acc.cabinet": 0.6673, "Acc.sidewalk": 0.8187, "Acc.person": 0.8907, "Acc.earth": 0.4268, "Acc.door": 0.5489, "Acc.table": 0.6833, "Acc.mountain": 0.6843, "Acc.plant": 0.6506, "Acc.curtain": 0.8343, "Acc.chair": 0.6435, "Acc.car": 0.8958, "Acc.water": 0.793, "Acc.painting": 0.8167, "Acc.sofa": 0.5313, "Acc.shelf": 0.5261, "Acc.house": 0.5222, "Acc.sea": 0.6895, "Acc.mirror": 0.6512, "Acc.rug": 0.7301, "Acc.field": 0.547, "Acc.armchair": 0.7699, "Acc.seat": 0.8509, "Acc.fence": 0.6485, "Acc.desk": 0.5977, "Acc.rock": 0.5287, "Acc.wardrobe": 0.71, "Acc.lamp": 0.691, "Acc.bathtub": 0.7923, "Acc.railing": 0.4562, "Acc.cushion": 0.604, "Acc.base": 0.5769, "Acc.box": 0.2473, "Acc.column": 0.4825, "Acc.signboard": 0.4397, "Acc.chest of drawers": 0.5482, "Acc.counter": 0.4657, "Acc.sand": 0.6038, "Acc.sink": 0.6953, "Acc.skyscraper": 0.5469, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7538, "Acc.grandstand": 0.6593, "Acc.path": 0.3604, "Acc.stairs": 0.3673, "Acc.runway": 0.9686, "Acc.case": 0.7024, "Acc.pool table": 0.9656, "Acc.pillow": 0.6187, "Acc.screen door": 0.7348, "Acc.stairway": 0.2855, "Acc.river": 0.3201, "Acc.bridge": 0.7979, "Acc.bookcase": 0.4559, "Acc.blind": NaN, "Acc.coffee table": 0.7793, "Acc.toilet": 0.855, "Acc.flower": 0.5345, "Acc.book": 0.5755, "Acc.hill": 0.08, "Acc.bench": 0.5015, "Acc.countertop": 0.6731, "Acc.stove": 0.752, "Acc.palm": 0.7659, "Acc.kitchen island": 0.8489, "Acc.computer": 0.7014, "Acc.swivel chair": 0.6029, "Acc.boat": 0.6178, "Acc.bar": 0.564, "Acc.arcade machine": 0.7911, "Acc.hovel": 0.4167, "Acc.bus": 0.9091, "Acc.towel": 0.7413, "Acc.light": 0.537, "Acc.truck": 0.232, "Acc.tower": 0.5794, "Acc.chandelier": 0.771, "Acc.awning": 0.2937, "Acc.streetlight": 0.2101, "Acc.booth": 0.6007, "Acc.television receiver": NaN, "Acc.airplane": 0.616, "Acc.dirt track": 0.2071, "Acc.apparel": 0.5127, "Acc.pole": 0.1497, "Acc.land": 0.017, "Acc.bannister": 0.0811, "Acc.escalator": 0.5436, "Acc.ottoman": 0.4816, "Acc.bottle": NaN, "Acc.buffet": 0.6184, "Acc.poster": 0.135, "Acc.stage": 0.2603, "Acc.van": 0.4971, "Acc.ship": 0.8685, "Acc.fountain": 0.3478, "Acc.conveyer belt": 0.8971, "Acc.canopy": 0.1296, "Acc.washer": 0.8197, "Acc.plaything": 0.3096, "Acc.swimming pool": 0.8569, "Acc.stool": 0.3444, "Acc.barrel": 0.641, "Acc.basket": 0.363, "Acc.waterfall": 0.7769, "Acc.tent": 0.981, "Acc.bag": 0.0948, "Acc.minibike": 0.7919, "Acc.cradle": NaN, "Acc.oven": 0.3259, "Acc.ball": 0.5453, "Acc.food": 0.565, "Acc.step": 0.0221, "Acc.tank": 0.5475, "Acc.trade name": 0.2036, "Acc.microwave": 0.7884, "Acc.pot": 0.5021, "Acc.animal": NaN, "Acc.bicycle": 0.7056, "Acc.lake": 0.6495, "Acc.dishwasher": 0.6205, "Acc.screen": 0.9031, "Acc.blanket": 0.1843, "Acc.sculpture": 0.6437, "Acc.hood": 0.5603, "Acc.sconce": 0.2561, "Acc.vase": 0.4565, "Acc.traffic light": 0.2706, "Acc.tray": 0.0216, "Acc.ashcan": 0.4749, "Acc.fan": 0.6022, "Acc.pier": 0.8264, "Acc.crt screen": 0.1289, "Acc.plate": 0.7146, "Acc.monitor": 0.7028, "Acc.bulletin board": 0.5479, "Acc.shower": 0.0, "Acc.radiator": 0.577, "Acc.glass": 0.1095, "Acc.clock": 0.3309, "Acc.flag": 0.4851} -{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 26851, "data_time": 1.81221, "decode.loss_seg": 0.3854, "decode.acc_seg": 68.13072, "aux.loss_seg": 0.18446, "aux.acc_seg": 66.51887, "loss": 0.56986, "time": 2.53018} -{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.41476, "decode.acc_seg": 69.31849, "aux.loss_seg": 0.19692, "aux.acc_seg": 67.4716, "loss": 0.61168, "time": 0.73089} -{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.39266, "decode.acc_seg": 69.27205, "aux.loss_seg": 0.18667, "aux.acc_seg": 67.63456, "loss": 0.57933, "time": 0.73131} -{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.38939, "decode.acc_seg": 70.30897, "aux.loss_seg": 0.18522, "aux.acc_seg": 68.7028, "loss": 0.57461, "time": 0.72703} -{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.41669, "decode.acc_seg": 67.01452, "aux.loss_seg": 0.19712, "aux.acc_seg": 65.70464, "loss": 0.61381, "time": 0.73794} -{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.39073, "decode.acc_seg": 69.01803, "aux.loss_seg": 0.18508, "aux.acc_seg": 67.1332, "loss": 0.5758, "time": 0.73102} -{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.41294, "decode.acc_seg": 67.85889, "aux.loss_seg": 0.19236, "aux.acc_seg": 66.52176, "loss": 0.60531, "time": 0.73478} -{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.39134, "decode.acc_seg": 68.91464, "aux.loss_seg": 0.18458, "aux.acc_seg": 67.42034, "loss": 0.57591, "time": 0.72942} -{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.40285, "decode.acc_seg": 68.40682, "aux.loss_seg": 0.19044, "aux.acc_seg": 66.79023, "loss": 0.59329, "time": 0.72375} -{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.41473, "decode.acc_seg": 68.05897, "aux.loss_seg": 0.19489, "aux.acc_seg": 66.27598, "loss": 0.60962, "time": 0.73182} -{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.41244, "decode.acc_seg": 69.18302, "aux.loss_seg": 0.19139, "aux.acc_seg": 67.76541, "loss": 0.60383, "time": 0.73254} -{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.39611, "decode.acc_seg": 67.87906, "aux.loss_seg": 0.18995, "aux.acc_seg": 66.08532, "loss": 0.58606, "time": 0.73511} -{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 26851, "data_time": 0.00741, "decode.loss_seg": 0.3991, "decode.acc_seg": 68.51179, "aux.loss_seg": 0.19078, "aux.acc_seg": 66.75323, "loss": 0.58989, "time": 0.73652} -{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.42499, "decode.acc_seg": 67.90248, "aux.loss_seg": 0.1975, "aux.acc_seg": 66.46928, "loss": 0.62249, "time": 0.72869} -{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.37874, "decode.acc_seg": 68.50826, "aux.loss_seg": 0.18498, "aux.acc_seg": 66.44645, "loss": 0.56372, "time": 0.72826} -{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 26851, "data_time": 0.00713, "decode.loss_seg": 0.37867, "decode.acc_seg": 69.11116, "aux.loss_seg": 0.18159, "aux.acc_seg": 67.42353, "loss": 0.56026, "time": 0.7262} -{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 26851, "data_time": 0.24789, "decode.loss_seg": 0.36572, "decode.acc_seg": 68.95398, "aux.loss_seg": 0.17368, "aux.acc_seg": 67.2615, "loss": 0.5394, "time": 0.9692} -{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.36748, "decode.acc_seg": 69.78831, "aux.loss_seg": 0.17625, "aux.acc_seg": 68.23338, "loss": 0.54373, "time": 0.73419} -{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.37667, "decode.acc_seg": 69.56057, "aux.loss_seg": 0.18031, "aux.acc_seg": 67.77615, "loss": 0.55698, "time": 0.73419} -{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.35889, "decode.acc_seg": 69.03186, "aux.loss_seg": 0.17336, "aux.acc_seg": 67.20942, "loss": 0.53225, "time": 0.73667} -{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.37249, "decode.acc_seg": 69.31195, "aux.loss_seg": 0.18045, "aux.acc_seg": 67.44177, "loss": 0.55294, "time": 0.735} -{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.36686, "decode.acc_seg": 69.44899, "aux.loss_seg": 0.17526, "aux.acc_seg": 67.98488, "loss": 0.54212, "time": 0.73532} -{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.36831, "decode.acc_seg": 70.36283, "aux.loss_seg": 0.17438, "aux.acc_seg": 68.95481, "loss": 0.54269, "time": 0.73248} -{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.37209, "decode.acc_seg": 68.29263, "aux.loss_seg": 0.18122, "aux.acc_seg": 66.39502, "loss": 0.55331, "time": 0.72893} -{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.39696, "decode.acc_seg": 67.91474, "aux.loss_seg": 0.1899, "aux.acc_seg": 66.24057, "loss": 0.58686, "time": 0.72602} -{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.3998, "decode.acc_seg": 68.86623, "aux.loss_seg": 0.19078, "aux.acc_seg": 66.99974, "loss": 0.59058, "time": 0.73291} -{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.35898, "decode.acc_seg": 69.17691, "aux.loss_seg": 0.17086, "aux.acc_seg": 67.58713, "loss": 0.52984, "time": 0.73273} -{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.35549, "decode.acc_seg": 68.96802, "aux.loss_seg": 0.17311, "aux.acc_seg": 67.30065, "loss": 0.52861, "time": 0.73751} -{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.37513, "decode.acc_seg": 70.67156, "aux.loss_seg": 0.17752, "aux.acc_seg": 68.88262, "loss": 0.55265, "time": 0.73448} -{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.37774, "decode.acc_seg": 68.30025, "aux.loss_seg": 0.18033, "aux.acc_seg": 66.47714, "loss": 0.55808, "time": 0.73161} -{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.39, "decode.acc_seg": 68.60839, "aux.loss_seg": 0.18583, "aux.acc_seg": 66.81879, "loss": 0.57584, "time": 0.72631} -{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.42284, "decode.acc_seg": 68.49379, "aux.loss_seg": 0.19991, "aux.acc_seg": 66.8126, "loss": 0.62275, "time": 0.7303} -{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.38563, "decode.acc_seg": 68.04099, "aux.loss_seg": 0.18367, "aux.acc_seg": 66.23252, "loss": 0.5693, "time": 0.73104} -{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.38016, "decode.acc_seg": 68.53263, "aux.loss_seg": 0.18185, "aux.acc_seg": 66.67623, "loss": 0.56201, "time": 0.73334} -{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.38815, "decode.acc_seg": 67.95799, "aux.loss_seg": 0.18347, "aux.acc_seg": 66.49255, "loss": 0.57162, "time": 0.73518} -{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.39267, "decode.acc_seg": 67.55844, "aux.loss_seg": 0.18389, "aux.acc_seg": 66.03327, "loss": 0.57656, "time": 0.74023} -{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.3994, "decode.acc_seg": 67.58741, "aux.loss_seg": 0.18661, "aux.acc_seg": 66.34011, "loss": 0.58601, "time": 0.7363} -{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.39516, "decode.acc_seg": 68.24566, "aux.loss_seg": 0.18435, "aux.acc_seg": 66.76113, "loss": 0.57951, "time": 0.73752} -{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.3974, "decode.acc_seg": 66.8988, "aux.loss_seg": 0.18816, "aux.acc_seg": 64.96854, "loss": 0.58556, "time": 0.72801} -{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.37949, "decode.acc_seg": 70.45706, "aux.loss_seg": 0.18235, "aux.acc_seg": 68.68855, "loss": 0.56184, "time": 0.72829} -{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.41764, "decode.acc_seg": 69.74878, "aux.loss_seg": 0.1949, "aux.acc_seg": 68.07546, "loss": 0.61254, "time": 0.72985} -{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 26851, "data_time": 0.0091, "decode.loss_seg": 0.38821, "decode.acc_seg": 67.00285, "aux.loss_seg": 0.18781, "aux.acc_seg": 65.08423, "loss": 0.57602, "time": 0.73109} -{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 26851, "data_time": 0.24986, "decode.loss_seg": 0.38317, "decode.acc_seg": 67.76673, "aux.loss_seg": 0.18162, "aux.acc_seg": 66.09083, "loss": 0.56479, "time": 0.97154} -{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.39421, "decode.acc_seg": 68.30103, "aux.loss_seg": 0.18699, "aux.acc_seg": 66.73158, "loss": 0.58119, "time": 0.73473} -{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.37708, "decode.acc_seg": 70.12538, "aux.loss_seg": 0.17933, "aux.acc_seg": 68.54295, "loss": 0.55641, "time": 0.73248} -{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.3708, "decode.acc_seg": 68.79959, "aux.loss_seg": 0.17932, "aux.acc_seg": 66.8569, "loss": 0.55012, "time": 0.73364} -{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.35617, "decode.acc_seg": 69.66926, "aux.loss_seg": 0.17125, "aux.acc_seg": 68.15811, "loss": 0.52742, "time": 0.73358} -{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.35971, "decode.acc_seg": 68.76916, "aux.loss_seg": 0.17373, "aux.acc_seg": 67.12126, "loss": 0.53343, "time": 0.73165} -{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.39329, "decode.acc_seg": 69.16617, "aux.loss_seg": 0.19117, "aux.acc_seg": 67.18104, "loss": 0.58446, "time": 0.73298} -{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.38713, "decode.acc_seg": 69.45404, "aux.loss_seg": 0.18589, "aux.acc_seg": 67.65155, "loss": 0.57303, "time": 0.73814} -{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.34844, "decode.acc_seg": 68.98856, "aux.loss_seg": 0.16864, "aux.acc_seg": 67.2615, "loss": 0.51709, "time": 0.73048} -{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.37365, "decode.acc_seg": 69.61973, "aux.loss_seg": 0.17454, "aux.acc_seg": 68.13516, "loss": 0.5482, "time": 0.7263} -{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.37635, "decode.acc_seg": 69.50152, "aux.loss_seg": 0.18352, "aux.acc_seg": 67.59941, "loss": 0.55987, "time": 0.72601} -{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.36742, "decode.acc_seg": 70.03428, "aux.loss_seg": 0.17506, "aux.acc_seg": 68.4241, "loss": 0.54248, "time": 0.73235} -{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.37533, "decode.acc_seg": 70.12331, "aux.loss_seg": 0.17983, "aux.acc_seg": 68.38248, "loss": 0.55515, "time": 0.73065} -{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.36434, "decode.acc_seg": 68.97268, "aux.loss_seg": 0.17545, "aux.acc_seg": 67.0933, "loss": 0.53979, "time": 0.72951} -{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.39784, "decode.acc_seg": 69.59247, "aux.loss_seg": 0.19367, "aux.acc_seg": 67.54754, "loss": 0.59151, "time": 0.7324} -{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.36874, "decode.acc_seg": 68.27387, "aux.loss_seg": 0.17787, "aux.acc_seg": 66.5506, "loss": 0.54662, "time": 0.73511} -{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.378, "decode.acc_seg": 68.68721, "aux.loss_seg": 0.17675, "aux.acc_seg": 67.23361, "loss": 0.55475, "time": 0.7371} -{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.37516, "decode.acc_seg": 68.25409, "aux.loss_seg": 0.18, "aux.acc_seg": 66.35525, "loss": 0.55516, "time": 0.72852} -{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.38161, "decode.acc_seg": 69.61242, "aux.loss_seg": 0.18113, "aux.acc_seg": 68.03692, "loss": 0.56274, "time": 0.72688} -{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.40012, "decode.acc_seg": 68.97399, "aux.loss_seg": 0.18688, "aux.acc_seg": 67.46129, "loss": 0.587, "time": 0.73045} -{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.37042, "decode.acc_seg": 68.74983, "aux.loss_seg": 0.17501, "aux.acc_seg": 67.16895, "loss": 0.54543, "time": 0.74229} -{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.39447, "decode.acc_seg": 68.28068, "aux.loss_seg": 0.1821, "aux.acc_seg": 67.09692, "loss": 0.57656, "time": 0.72885} -{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.38509, "decode.acc_seg": 69.74157, "aux.loss_seg": 0.18484, "aux.acc_seg": 68.14189, "loss": 0.56993, "time": 0.7264} -{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.38477, "decode.acc_seg": 68.53023, "aux.loss_seg": 0.18214, "aux.acc_seg": 67.19866, "loss": 0.56691, "time": 0.72686} -{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.38905, "decode.acc_seg": 68.14421, "aux.loss_seg": 0.1828, "aux.acc_seg": 66.66819, "loss": 0.57185, "time": 0.72851} -{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 26851, "data_time": 0.2439, "decode.loss_seg": 0.36598, "decode.acc_seg": 68.54876, "aux.loss_seg": 0.17862, "aux.acc_seg": 66.68224, "loss": 0.5446, "time": 0.96479} -{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.35823, "decode.acc_seg": 69.7216, "aux.loss_seg": 0.1752, "aux.acc_seg": 67.90451, "loss": 0.53343, "time": 0.7283} -{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.39299, "decode.acc_seg": 69.52915, "aux.loss_seg": 0.18653, "aux.acc_seg": 67.82818, "loss": 0.57952, "time": 0.73081} -{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.3639, "decode.acc_seg": 68.20298, "aux.loss_seg": 0.17663, "aux.acc_seg": 66.44869, "loss": 0.54053, "time": 0.73718} -{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.36125, "decode.acc_seg": 69.83423, "aux.loss_seg": 0.17578, "aux.acc_seg": 68.01284, "loss": 0.53703, "time": 0.73659} -{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.35318, "decode.acc_seg": 70.44746, "aux.loss_seg": 0.16908, "aux.acc_seg": 68.74984, "loss": 0.52226, "time": 0.7407} -{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.3602, "decode.acc_seg": 70.25207, "aux.loss_seg": 0.1752, "aux.acc_seg": 68.41157, "loss": 0.5354, "time": 0.73098} -{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.36157, "decode.acc_seg": 70.21828, "aux.loss_seg": 0.17808, "aux.acc_seg": 68.41412, "loss": 0.53966, "time": 0.72271} -{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.36926, "decode.acc_seg": 69.15963, "aux.loss_seg": 0.18147, "aux.acc_seg": 67.3118, "loss": 0.55073, "time": 0.72929} -{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.35875, "decode.acc_seg": 69.58836, "aux.loss_seg": 0.17198, "aux.acc_seg": 67.9976, "loss": 0.53074, "time": 0.72943} -{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.41281, "decode.acc_seg": 69.38735, "aux.loss_seg": 0.19277, "aux.acc_seg": 67.81751, "loss": 0.60559, "time": 0.73272} -{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.37938, "decode.acc_seg": 68.71472, "aux.loss_seg": 0.17778, "aux.acc_seg": 67.18102, "loss": 0.55716, "time": 0.7341} -{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.36942, "decode.acc_seg": 70.31798, "aux.loss_seg": 0.17395, "aux.acc_seg": 68.84876, "loss": 0.54336, "time": 0.73926} -{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.36087, "decode.acc_seg": 70.30314, "aux.loss_seg": 0.17269, "aux.acc_seg": 68.719, "loss": 0.53356, "time": 0.72983} -{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.37022, "decode.acc_seg": 69.04887, "aux.loss_seg": 0.17838, "aux.acc_seg": 67.17438, "loss": 0.5486, "time": 0.72713} -{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.34554, "decode.acc_seg": 70.05255, "aux.loss_seg": 0.16538, "aux.acc_seg": 68.3849, "loss": 0.51092, "time": 0.73102} -{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.36889, "decode.acc_seg": 69.13606, "aux.loss_seg": 0.17632, "aux.acc_seg": 67.44129, "loss": 0.54521, "time": 0.73299} -{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.36455, "decode.acc_seg": 68.90625, "aux.loss_seg": 0.17588, "aux.acc_seg": 67.08388, "loss": 0.54043, "time": 0.73121} -{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.36659, "decode.acc_seg": 70.26572, "aux.loss_seg": 0.17216, "aux.acc_seg": 68.84917, "loss": 0.53874, "time": 0.73628} -{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.38428, "decode.acc_seg": 68.02661, "aux.loss_seg": 0.18153, "aux.acc_seg": 66.39266, "loss": 0.56581, "time": 0.72892} -{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.37815, "decode.acc_seg": 69.4702, "aux.loss_seg": 0.17833, "aux.acc_seg": 67.90807, "loss": 0.55649, "time": 0.72529} -{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.35609, "decode.acc_seg": 68.99865, "aux.loss_seg": 0.17035, "aux.acc_seg": 67.4754, "loss": 0.52645, "time": 0.72713} -{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.3649, "decode.acc_seg": 67.96286, "aux.loss_seg": 0.17664, "aux.acc_seg": 66.27284, "loss": 0.54154, "time": 0.73014} -{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.37598, "decode.acc_seg": 68.18506, "aux.loss_seg": 0.17918, "aux.acc_seg": 66.55946, "loss": 0.55516, "time": 0.73468} -{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.38776, "decode.acc_seg": 67.3674, "aux.loss_seg": 0.18547, "aux.acc_seg": 65.51728, "loss": 0.57323, "time": 0.73449} -{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 26851, "data_time": 0.24824, "decode.loss_seg": 0.38268, "decode.acc_seg": 69.26288, "aux.loss_seg": 0.18134, "aux.acc_seg": 67.43106, "loss": 0.56402, "time": 0.97452} -{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.35221, "decode.acc_seg": 69.53385, "aux.loss_seg": 0.16987, "aux.acc_seg": 67.79807, "loss": 0.52208, "time": 0.73041} -{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.39099, "decode.acc_seg": 68.9099, "aux.loss_seg": 0.19008, "aux.acc_seg": 67.03305, "loss": 0.58107, "time": 0.73049} -{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.36428, "decode.acc_seg": 69.12173, "aux.loss_seg": 0.17834, "aux.acc_seg": 67.24455, "loss": 0.54262, "time": 0.72907} -{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.38464, "decode.acc_seg": 69.77695, "aux.loss_seg": 0.19075, "aux.acc_seg": 67.59137, "loss": 0.57539, "time": 0.73019} -{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.36025, "decode.acc_seg": 70.13804, "aux.loss_seg": 0.17237, "aux.acc_seg": 68.49164, "loss": 0.53262, "time": 0.7383} -{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.34032, "decode.acc_seg": 70.03863, "aux.loss_seg": 0.16654, "aux.acc_seg": 68.21321, "loss": 0.50686, "time": 0.73247} -{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.35444, "decode.acc_seg": 68.35701, "aux.loss_seg": 0.17055, "aux.acc_seg": 66.71126, "loss": 0.52499, "time": 0.73371} -{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.3536, "decode.acc_seg": 70.97623, "aux.loss_seg": 0.16913, "aux.acc_seg": 69.51309, "loss": 0.52273, "time": 0.73256} -{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.38702, "decode.acc_seg": 68.57674, "aux.loss_seg": 0.18446, "aux.acc_seg": 66.89127, "loss": 0.57147, "time": 0.72709} -{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.36257, "decode.acc_seg": 70.9905, "aux.loss_seg": 0.17748, "aux.acc_seg": 69.04131, "loss": 0.54005, "time": 0.7299} -{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.35393, "decode.acc_seg": 69.57368, "aux.loss_seg": 0.17451, "aux.acc_seg": 67.69659, "loss": 0.52843, "time": 0.7332} -{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.3775, "decode.acc_seg": 69.17563, "aux.loss_seg": 0.17896, "aux.acc_seg": 67.47115, "loss": 0.55647, "time": 0.73477} -{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.36869, "decode.acc_seg": 70.0712, "aux.loss_seg": 0.17505, "aux.acc_seg": 68.38692, "loss": 0.54373, "time": 0.73759} -{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.35898, "decode.acc_seg": 68.97182, "aux.loss_seg": 0.17232, "aux.acc_seg": 67.4165, "loss": 0.5313, "time": 0.73243} -{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.37678, "decode.acc_seg": 69.28677, "aux.loss_seg": 0.17892, "aux.acc_seg": 67.73168, "loss": 0.5557, "time": 0.73127} -{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.37172, "decode.acc_seg": 69.97687, "aux.loss_seg": 0.17616, "aux.acc_seg": 68.24786, "loss": 0.54787, "time": 0.73698} -{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.36346, "decode.acc_seg": 68.99719, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.52066, "loss": 0.53532, "time": 0.73078} -{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.37943, "decode.acc_seg": 66.93926, "aux.loss_seg": 0.18072, "aux.acc_seg": 65.40404, "loss": 0.56014, "time": 0.73347} -{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.38287, "decode.acc_seg": 67.65862, "aux.loss_seg": 0.18443, "aux.acc_seg": 65.74147, "loss": 0.56729, "time": 0.73427} -{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.37122, "decode.acc_seg": 68.975, "aux.loss_seg": 0.17772, "aux.acc_seg": 67.33385, "loss": 0.54894, "time": 0.73477} -{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.35213, "decode.acc_seg": 71.51882, "aux.loss_seg": 0.16766, "aux.acc_seg": 70.07563, "loss": 0.51979, "time": 0.73064} -{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.37992, "decode.acc_seg": 68.54555, "aux.loss_seg": 0.18013, "aux.acc_seg": 67.01853, "loss": 0.56004, "time": 0.72716} -{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.3525, "decode.acc_seg": 68.37413, "aux.loss_seg": 0.16942, "aux.acc_seg": 66.64291, "loss": 0.52193, "time": 0.72499} -{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.36171, "decode.acc_seg": 69.00462, "aux.loss_seg": 0.17513, "aux.acc_seg": 67.27788, "loss": 0.53685, "time": 0.72985} -{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 26851, "data_time": 0.24736, "decode.loss_seg": 0.35233, "decode.acc_seg": 69.69077, "aux.loss_seg": 0.16743, "aux.acc_seg": 68.0422, "loss": 0.51976, "time": 0.97075} -{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.35007, "decode.acc_seg": 71.07506, "aux.loss_seg": 0.1698, "aux.acc_seg": 69.26813, "loss": 0.51987, "time": 0.73185} -{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.35956, "decode.acc_seg": 70.19033, "aux.loss_seg": 0.17782, "aux.acc_seg": 68.24887, "loss": 0.53738, "time": 0.73108} -{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.38085, "decode.acc_seg": 68.748, "aux.loss_seg": 0.18211, "aux.acc_seg": 66.99141, "loss": 0.56296, "time": 0.73631} -{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.34438, "decode.acc_seg": 67.82389, "aux.loss_seg": 0.16749, "aux.acc_seg": 66.08453, "loss": 0.51188, "time": 0.74112} -{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.36028, "decode.acc_seg": 69.34041, "aux.loss_seg": 0.17652, "aux.acc_seg": 67.38541, "loss": 0.5368, "time": 0.73432} -{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.35312, "decode.acc_seg": 69.49579, "aux.loss_seg": 0.1726, "aux.acc_seg": 67.7638, "loss": 0.52571, "time": 0.732} -{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.36092, "decode.acc_seg": 69.59366, "aux.loss_seg": 0.17417, "aux.acc_seg": 67.92789, "loss": 0.53509, "time": 0.73084} -{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.36737, "decode.acc_seg": 69.37179, "aux.loss_seg": 0.17657, "aux.acc_seg": 67.47071, "loss": 0.54394, "time": 0.72671} -{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.36812, "decode.acc_seg": 69.92337, "aux.loss_seg": 0.17754, "aux.acc_seg": 68.22398, "loss": 0.54566, "time": 0.73018} -{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.35248, "decode.acc_seg": 68.10692, "aux.loss_seg": 0.17102, "aux.acc_seg": 66.37751, "loss": 0.5235, "time": 0.73615} -{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.36622, "decode.acc_seg": 68.29359, "aux.loss_seg": 0.17645, "aux.acc_seg": 66.5363, "loss": 0.54267, "time": 0.73404} -{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.36996, "decode.acc_seg": 69.26319, "aux.loss_seg": 0.17803, "aux.acc_seg": 67.55213, "loss": 0.54799, "time": 0.7312} -{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.37922, "decode.acc_seg": 69.52993, "aux.loss_seg": 0.18176, "aux.acc_seg": 67.84873, "loss": 0.56097, "time": 0.7365} -{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.35548, "decode.acc_seg": 69.46318, "aux.loss_seg": 0.16978, "aux.acc_seg": 67.76489, "loss": 0.52526, "time": 0.73494} -{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.37676, "decode.acc_seg": 69.67414, "aux.loss_seg": 0.17909, "aux.acc_seg": 68.17475, "loss": 0.55585, "time": 0.73435} -{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.35359, "decode.acc_seg": 69.66311, "aux.loss_seg": 0.16621, "aux.acc_seg": 68.29415, "loss": 0.5198, "time": 0.74238} -{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.35955, "decode.acc_seg": 70.07469, "aux.loss_seg": 0.17247, "aux.acc_seg": 68.40637, "loss": 0.53202, "time": 0.73082} -{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.35477, "decode.acc_seg": 68.98505, "aux.loss_seg": 0.17097, "aux.acc_seg": 67.26795, "loss": 0.52574, "time": 0.73262} -{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.37347, "decode.acc_seg": 66.99026, "aux.loss_seg": 0.17683, "aux.acc_seg": 65.55666, "loss": 0.55029, "time": 0.72588} -{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.35126, "decode.acc_seg": 70.21453, "aux.loss_seg": 0.17104, "aux.acc_seg": 68.53378, "loss": 0.52231, "time": 0.72891} -{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.33902, "decode.acc_seg": 71.084, "aux.loss_seg": 0.16624, "aux.acc_seg": 69.26973, "loss": 0.50526, "time": 0.72635} -{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.33207, "decode.acc_seg": 70.31344, "aux.loss_seg": 0.15883, "aux.acc_seg": 68.80103, "loss": 0.4909, "time": 0.73257} -{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.35926, "decode.acc_seg": 68.90312, "aux.loss_seg": 0.17048, "aux.acc_seg": 67.45871, "loss": 0.52975, "time": 0.73799} -{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.36496, "decode.acc_seg": 69.21353, "aux.loss_seg": 0.17383, "aux.acc_seg": 67.68313, "loss": 0.53879, "time": 0.7329} -{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.3966, "decode.acc_seg": 67.99414, "aux.loss_seg": 0.18751, "aux.acc_seg": 66.28365, "loss": 0.58411, "time": 0.73159} -{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 26851, "data_time": 0.25092, "decode.loss_seg": 0.34923, "decode.acc_seg": 70.04183, "aux.loss_seg": 0.16815, "aux.acc_seg": 68.31168, "loss": 0.51738, "time": 0.97362} -{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.33844, "decode.acc_seg": 69.76665, "aux.loss_seg": 0.16514, "aux.acc_seg": 68.15605, "loss": 0.50359, "time": 0.7293} -{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.36208, "decode.acc_seg": 70.08981, "aux.loss_seg": 0.1763, "aux.acc_seg": 68.17817, "loss": 0.53837, "time": 0.72917} -{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 26851, "data_time": 0.00944, "decode.loss_seg": 0.33694, "decode.acc_seg": 70.3854, "aux.loss_seg": 0.16504, "aux.acc_seg": 68.60759, "loss": 0.50198, "time": 0.73279} -{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 26851, "data_time": 0.00903, "decode.loss_seg": 0.35215, "decode.acc_seg": 69.97178, "aux.loss_seg": 0.171, "aux.acc_seg": 68.32618, "loss": 0.52314, "time": 0.73385} -{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.34466, "decode.acc_seg": 69.35794, "aux.loss_seg": 0.17119, "aux.acc_seg": 67.20999, "loss": 0.51586, "time": 0.73514} -{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.34803, "decode.acc_seg": 69.30206, "aux.loss_seg": 0.16932, "aux.acc_seg": 67.47668, "loss": 0.51734, "time": 0.73903} -{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.35616, "decode.acc_seg": 69.17208, "aux.loss_seg": 0.169, "aux.acc_seg": 67.51744, "loss": 0.52517, "time": 0.73254} -{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 26851, "data_time": 0.00919, "decode.loss_seg": 0.35667, "decode.acc_seg": 68.8473, "aux.loss_seg": 0.17518, "aux.acc_seg": 66.73959, "loss": 0.53185, "time": 0.73565} -{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.36856, "decode.acc_seg": 70.6692, "aux.loss_seg": 0.17339, "aux.acc_seg": 68.84385, "loss": 0.54195, "time": 0.73235} -{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.35743, "decode.acc_seg": 71.01404, "aux.loss_seg": 0.17722, "aux.acc_seg": 69.12415, "loss": 0.53465, "time": 0.73776} -{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.34583, "decode.acc_seg": 69.407, "aux.loss_seg": 0.16738, "aux.acc_seg": 67.58087, "loss": 0.5132, "time": 0.72922} -{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.32825, "decode.acc_seg": 70.2193, "aux.loss_seg": 0.15886, "aux.acc_seg": 68.63211, "loss": 0.48711, "time": 0.72395} -{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.3452, "decode.acc_seg": 69.88232, "aux.loss_seg": 0.16529, "aux.acc_seg": 68.36936, "loss": 0.51049, "time": 0.73426} -{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.37813, "decode.acc_seg": 68.96977, "aux.loss_seg": 0.17879, "aux.acc_seg": 67.51718, "loss": 0.55692, "time": 0.73984} -{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.34613, "decode.acc_seg": 67.92808, "aux.loss_seg": 0.16695, "aux.acc_seg": 66.42997, "loss": 0.51308, "time": 0.73972} -{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.35641, "decode.acc_seg": 69.48062, "aux.loss_seg": 0.17111, "aux.acc_seg": 67.74112, "loss": 0.52752, "time": 0.73893} -{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.34591, "decode.acc_seg": 70.51098, "aux.loss_seg": 0.16637, "aux.acc_seg": 68.86364, "loss": 0.51228, "time": 0.73471} -{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 26851, "data_time": 0.00888, "decode.loss_seg": 0.36426, "decode.acc_seg": 69.20217, "aux.loss_seg": 0.17427, "aux.acc_seg": 67.33069, "loss": 0.53853, "time": 0.73668} -{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 26851, "data_time": 0.00916, "decode.loss_seg": 0.32723, "decode.acc_seg": 69.78461, "aux.loss_seg": 0.15934, "aux.acc_seg": 68.136, "loss": 0.48656, "time": 0.73155} -{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.36306, "decode.acc_seg": 69.49658, "aux.loss_seg": 0.17247, "aux.acc_seg": 68.09572, "loss": 0.53553, "time": 0.73052} -{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.35782, "decode.acc_seg": 69.42475, "aux.loss_seg": 0.17123, "aux.acc_seg": 67.87799, "loss": 0.52905, "time": 0.7362} -{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.35255, "decode.acc_seg": 70.33243, "aux.loss_seg": 0.16723, "aux.acc_seg": 68.82334, "loss": 0.51979, "time": 0.73296} -{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.36699, "decode.acc_seg": 68.83835, "aux.loss_seg": 0.17524, "aux.acc_seg": 67.16011, "loss": 0.54223, "time": 0.73091} -{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 26851, "data_time": 0.00903, "decode.loss_seg": 0.34095, "decode.acc_seg": 70.50215, "aux.loss_seg": 0.16877, "aux.acc_seg": 68.48091, "loss": 0.50972, "time": 0.73071} -{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 26851, "data_time": 0.24799, "decode.loss_seg": 0.36023, "decode.acc_seg": 70.49984, "aux.loss_seg": 0.1744, "aux.acc_seg": 68.62797, "loss": 0.53463, "time": 0.96887} -{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.33802, "decode.acc_seg": 68.40668, "aux.loss_seg": 0.16347, "aux.acc_seg": 66.68956, "loss": 0.50148, "time": 0.73119} -{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.3228, "decode.acc_seg": 71.29044, "aux.loss_seg": 0.15754, "aux.acc_seg": 69.59675, "loss": 0.48034, "time": 0.72849} -{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.3249, "decode.acc_seg": 69.77118, "aux.loss_seg": 0.16041, "aux.acc_seg": 67.87073, "loss": 0.48531, "time": 0.73326} -{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.33149, "decode.acc_seg": 69.86262, "aux.loss_seg": 0.16216, "aux.acc_seg": 68.05913, "loss": 0.49365, "time": 0.7331} -{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.33019, "decode.acc_seg": 70.12985, "aux.loss_seg": 0.1608, "aux.acc_seg": 68.55417, "loss": 0.49099, "time": 0.73164} -{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.34157, "decode.acc_seg": 70.13398, "aux.loss_seg": 0.16413, "aux.acc_seg": 68.63648, "loss": 0.50569, "time": 0.7351} -{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.3428, "decode.acc_seg": 69.01559, "aux.loss_seg": 0.16704, "aux.acc_seg": 67.24846, "loss": 0.50983, "time": 0.73734} -{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.35142, "decode.acc_seg": 70.02489, "aux.loss_seg": 0.16823, "aux.acc_seg": 68.33217, "loss": 0.51965, "time": 0.73475} -{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.34914, "decode.acc_seg": 68.85029, "aux.loss_seg": 0.16872, "aux.acc_seg": 67.23037, "loss": 0.51786, "time": 0.73216} -{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.35577, "decode.acc_seg": 70.16726, "aux.loss_seg": 0.17176, "aux.acc_seg": 68.48597, "loss": 0.52752, "time": 0.73665} -{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.36491, "decode.acc_seg": 69.86902, "aux.loss_seg": 0.17799, "aux.acc_seg": 67.89274, "loss": 0.5429, "time": 0.72729} -{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.36315, "decode.acc_seg": 69.3033, "aux.loss_seg": 0.17467, "aux.acc_seg": 67.5003, "loss": 0.53783, "time": 0.73184} -{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.35533, "decode.acc_seg": 69.19673, "aux.loss_seg": 0.17046, "aux.acc_seg": 67.65063, "loss": 0.52579, "time": 0.72877} -{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.34662, "decode.acc_seg": 68.8545, "aux.loss_seg": 0.16587, "aux.acc_seg": 67.14727, "loss": 0.51249, "time": 0.73731} -{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.35764, "decode.acc_seg": 69.71253, "aux.loss_seg": 0.17155, "aux.acc_seg": 67.98045, "loss": 0.52919, "time": 0.73156} -{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.35266, "decode.acc_seg": 70.28199, "aux.loss_seg": 0.17058, "aux.acc_seg": 68.68695, "loss": 0.52324, "time": 0.73247} -{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.35923, "decode.acc_seg": 68.98701, "aux.loss_seg": 0.17157, "aux.acc_seg": 67.28322, "loss": 0.5308, "time": 0.72958} -{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.34681, "decode.acc_seg": 69.10206, "aux.loss_seg": 0.16476, "aux.acc_seg": 67.25908, "loss": 0.51157, "time": 0.72538} -{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 26851, "data_time": 0.00904, "decode.loss_seg": 0.35279, "decode.acc_seg": 69.69232, "aux.loss_seg": 0.17025, "aux.acc_seg": 67.89193, "loss": 0.52304, "time": 0.73236} -{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.34316, "decode.acc_seg": 69.90774, "aux.loss_seg": 0.16455, "aux.acc_seg": 68.13044, "loss": 0.50771, "time": 0.73439} -{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.34685, "decode.acc_seg": 70.79071, "aux.loss_seg": 0.16961, "aux.acc_seg": 68.89746, "loss": 0.51645, "time": 0.73033} -{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.36831, "decode.acc_seg": 68.85647, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.16439, "loss": 0.54285, "time": 0.73458} -{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.36724, "decode.acc_seg": 70.06501, "aux.loss_seg": 0.17127, "aux.acc_seg": 68.57341, "loss": 0.53851, "time": 0.73037} -{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.34159, "decode.acc_seg": 69.46506, "aux.loss_seg": 0.16821, "aux.acc_seg": 67.52407, "loss": 0.50979, "time": 0.7341} -{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 26851, "data_time": 0.24926, "decode.loss_seg": 0.38189, "decode.acc_seg": 68.68764, "aux.loss_seg": 0.18264, "aux.acc_seg": 66.91406, "loss": 0.56453, "time": 0.97121} -{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.33818, "decode.acc_seg": 69.50302, "aux.loss_seg": 0.1625, "aux.acc_seg": 67.93519, "loss": 0.50068, "time": 0.72305} -{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.34133, "decode.acc_seg": 69.97512, "aux.loss_seg": 0.16611, "aux.acc_seg": 68.14801, "loss": 0.50744, "time": 0.72606} -{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.34937, "decode.acc_seg": 69.512, "aux.loss_seg": 0.1705, "aux.acc_seg": 67.54282, "loss": 0.51988, "time": 0.72748} -{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.3629, "decode.acc_seg": 69.06562, "aux.loss_seg": 0.1733, "aux.acc_seg": 67.38328, "loss": 0.5362, "time": 0.73322} -{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.33347, "decode.acc_seg": 68.18883, "aux.loss_seg": 0.16086, "aux.acc_seg": 66.62212, "loss": 0.49433, "time": 0.73431} -{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.32566, "decode.acc_seg": 68.66213, "aux.loss_seg": 0.15924, "aux.acc_seg": 67.05338, "loss": 0.4849, "time": 0.73027} -{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.33965, "decode.acc_seg": 71.32977, "aux.loss_seg": 0.16456, "aux.acc_seg": 69.51731, "loss": 0.5042, "time": 0.73122} -{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.34663, "decode.acc_seg": 69.90446, "aux.loss_seg": 0.16635, "aux.acc_seg": 68.36566, "loss": 0.51298, "time": 0.73148} -{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.33048, "decode.acc_seg": 69.84648, "aux.loss_seg": 0.1597, "aux.acc_seg": 68.23427, "loss": 0.49018, "time": 0.731} -{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.34977, "decode.acc_seg": 70.10885, "aux.loss_seg": 0.16989, "aux.acc_seg": 68.30407, "loss": 0.51966, "time": 0.73282} -{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.33525, "decode.acc_seg": 70.28525, "aux.loss_seg": 0.16342, "aux.acc_seg": 68.43891, "loss": 0.49867, "time": 0.73139} -{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.33374, "decode.acc_seg": 69.78925, "aux.loss_seg": 0.16181, "aux.acc_seg": 68.11755, "loss": 0.49555, "time": 0.72717} -{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.35493, "decode.acc_seg": 69.6226, "aux.loss_seg": 0.17146, "aux.acc_seg": 67.93966, "loss": 0.52638, "time": 0.72732} -{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.35032, "decode.acc_seg": 68.59453, "aux.loss_seg": 0.16866, "aux.acc_seg": 67.14258, "loss": 0.51898, "time": 0.72812} -{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.34059, "decode.acc_seg": 71.23093, "aux.loss_seg": 0.164, "aux.acc_seg": 69.43133, "loss": 0.50459, "time": 0.73049} -{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 26851, "data_time": 0.0092, "decode.loss_seg": 0.33887, "decode.acc_seg": 70.596, "aux.loss_seg": 0.16312, "aux.acc_seg": 69.08582, "loss": 0.50199, "time": 0.74172} -{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.34523, "decode.acc_seg": 70.60633, "aux.loss_seg": 0.1654, "aux.acc_seg": 69.05981, "loss": 0.51063, "time": 0.73065} -{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.31506, "decode.acc_seg": 70.74603, "aux.loss_seg": 0.15372, "aux.acc_seg": 69.00867, "loss": 0.46878, "time": 0.72828} -{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.32598, "decode.acc_seg": 68.79992, "aux.loss_seg": 0.15698, "aux.acc_seg": 67.19334, "loss": 0.48296, "time": 0.7258} -{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.36116, "decode.acc_seg": 70.21438, "aux.loss_seg": 0.17572, "aux.acc_seg": 68.3322, "loss": 0.53689, "time": 0.73082} -{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.33277, "decode.acc_seg": 69.32047, "aux.loss_seg": 0.16274, "aux.acc_seg": 67.50923, "loss": 0.49551, "time": 0.72982} -{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.34679, "decode.acc_seg": 69.99966, "aux.loss_seg": 0.16687, "aux.acc_seg": 68.35137, "loss": 0.51366, "time": 0.73008} -{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.35043, "decode.acc_seg": 69.30429, "aux.loss_seg": 0.1679, "aux.acc_seg": 67.68041, "loss": 0.51833, "time": 0.7358} -{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.33585, "decode.acc_seg": 69.36224, "aux.loss_seg": 0.16351, "aux.acc_seg": 67.6465, "loss": 0.49936, "time": 0.72835} -{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 26851, "data_time": 0.25093, "decode.loss_seg": 0.34704, "decode.acc_seg": 69.90435, "aux.loss_seg": 0.16736, "aux.acc_seg": 68.3112, "loss": 0.5144, "time": 0.97081} -{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.33399, "decode.acc_seg": 70.07588, "aux.loss_seg": 0.16268, "aux.acc_seg": 68.20179, "loss": 0.49667, "time": 0.72637} -{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 26851, "data_time": 0.0093, "decode.loss_seg": 0.34365, "decode.acc_seg": 70.77893, "aux.loss_seg": 0.16674, "aux.acc_seg": 69.01809, "loss": 0.5104, "time": 0.73114} -{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.35178, "decode.acc_seg": 70.09979, "aux.loss_seg": 0.17199, "aux.acc_seg": 68.10264, "loss": 0.52377, "time": 0.73629} -{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.34209, "decode.acc_seg": 69.55503, "aux.loss_seg": 0.16627, "aux.acc_seg": 67.62376, "loss": 0.50836, "time": 0.72896} -{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.35726, "decode.acc_seg": 70.82554, "aux.loss_seg": 0.17593, "aux.acc_seg": 69.02564, "loss": 0.53319, "time": 0.73072} -{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.32922, "decode.acc_seg": 70.75591, "aux.loss_seg": 0.15932, "aux.acc_seg": 69.26967, "loss": 0.48854, "time": 0.73393} -{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.32121, "decode.acc_seg": 69.73681, "aux.loss_seg": 0.1565, "aux.acc_seg": 68.10966, "loss": 0.47771, "time": 0.73162} -{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.32986, "decode.acc_seg": 68.32846, "aux.loss_seg": 0.16624, "aux.acc_seg": 66.42087, "loss": 0.4961, "time": 0.73357} -{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.31927, "decode.acc_seg": 70.09227, "aux.loss_seg": 0.15776, "aux.acc_seg": 68.2018, "loss": 0.47703, "time": 0.73321} -{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.3443, "decode.acc_seg": 69.97665, "aux.loss_seg": 0.16823, "aux.acc_seg": 68.07824, "loss": 0.51252, "time": 0.73329} -{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.35144, "decode.acc_seg": 70.62623, "aux.loss_seg": 0.16732, "aux.acc_seg": 69.06027, "loss": 0.51876, "time": 0.74217} -{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.35022, "decode.acc_seg": 70.04657, "aux.loss_seg": 0.16758, "aux.acc_seg": 68.44328, "loss": 0.5178, "time": 0.72632} -{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.32634, "decode.acc_seg": 69.36943, "aux.loss_seg": 0.15826, "aux.acc_seg": 67.83845, "loss": 0.4846, "time": 0.72952} -{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.34186, "decode.acc_seg": 71.35423, "aux.loss_seg": 0.16437, "aux.acc_seg": 69.65351, "loss": 0.50623, "time": 0.72747} -{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.3419, "decode.acc_seg": 70.73919, "aux.loss_seg": 0.16833, "aux.acc_seg": 68.71172, "loss": 0.51023, "time": 0.7374} -{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.34537, "decode.acc_seg": 69.14696, "aux.loss_seg": 0.16646, "aux.acc_seg": 67.42687, "loss": 0.51184, "time": 0.73342} -{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.34323, "decode.acc_seg": 71.36801, "aux.loss_seg": 0.16727, "aux.acc_seg": 69.60359, "loss": 0.5105, "time": 0.73926} -{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.34857, "decode.acc_seg": 70.77872, "aux.loss_seg": 0.17072, "aux.acc_seg": 68.91005, "loss": 0.51928, "time": 0.72957} -{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.35541, "decode.acc_seg": 70.51047, "aux.loss_seg": 0.1697, "aux.acc_seg": 68.92825, "loss": 0.52512, "time": 0.73291} -{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.36516, "decode.acc_seg": 68.80951, "aux.loss_seg": 0.17555, "aux.acc_seg": 67.02936, "loss": 0.54071, "time": 0.73357} -{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.33407, "decode.acc_seg": 70.24414, "aux.loss_seg": 0.15975, "aux.acc_seg": 68.71579, "loss": 0.49381, "time": 0.73566} -{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.33224, "decode.acc_seg": 69.65036, "aux.loss_seg": 0.16112, "aux.acc_seg": 67.79927, "loss": 0.49336, "time": 0.7385} -{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.34318, "decode.acc_seg": 69.5554, "aux.loss_seg": 0.16521, "aux.acc_seg": 68.06237, "loss": 0.50839, "time": 0.73335} -{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.34019, "decode.acc_seg": 69.65372, "aux.loss_seg": 0.1676, "aux.acc_seg": 67.8557, "loss": 0.50779, "time": 0.73458} -{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.33303, "decode.acc_seg": 68.78482, "aux.loss_seg": 0.16025, "aux.acc_seg": 67.11799, "loss": 0.49328, "time": 0.72922} -{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 26851, "data_time": 0.24804, "decode.loss_seg": 0.33522, "decode.acc_seg": 70.09704, "aux.loss_seg": 0.16269, "aux.acc_seg": 68.36729, "loss": 0.4979, "time": 0.9682} -{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.33612, "decode.acc_seg": 70.69176, "aux.loss_seg": 0.16297, "aux.acc_seg": 68.98035, "loss": 0.4991, "time": 0.72021} -{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.34577, "decode.acc_seg": 70.47362, "aux.loss_seg": 0.16623, "aux.acc_seg": 68.91284, "loss": 0.512, "time": 0.71657} -{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 26851, "data_time": 0.0072, "decode.loss_seg": 0.353, "decode.acc_seg": 70.5016, "aux.loss_seg": 0.17208, "aux.acc_seg": 68.61481, "loss": 0.52508, "time": 0.71708} -{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.33242, "decode.acc_seg": 70.9119, "aux.loss_seg": 0.16203, "aux.acc_seg": 69.16574, "loss": 0.49445, "time": 0.718} -{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.3488, "decode.acc_seg": 70.73702, "aux.loss_seg": 0.17056, "aux.acc_seg": 69.00857, "loss": 0.51936, "time": 0.71897} -{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.32968, "decode.acc_seg": 69.31314, "aux.loss_seg": 0.16206, "aux.acc_seg": 67.44083, "loss": 0.49174, "time": 0.71814} -{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.35205, "decode.acc_seg": 69.49616, "aux.loss_seg": 0.16951, "aux.acc_seg": 67.75857, "loss": 0.52156, "time": 0.72114} -{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.34481, "decode.acc_seg": 69.65291, "aux.loss_seg": 0.16966, "aux.acc_seg": 67.53303, "loss": 0.51447, "time": 0.73486} -{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.3215, "decode.acc_seg": 71.63956, "aux.loss_seg": 0.15777, "aux.acc_seg": 69.90042, "loss": 0.47928, "time": 0.72801} -{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.34489, "decode.acc_seg": 69.35751, "aux.loss_seg": 0.1656, "aux.acc_seg": 67.84429, "loss": 0.51049, "time": 0.72211} -{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 26851, "data_time": 0.00747, "decode.loss_seg": 0.33802, "decode.acc_seg": 69.35088, "aux.loss_seg": 0.16432, "aux.acc_seg": 67.64299, "loss": 0.50234, "time": 0.72151} -{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.34451, "decode.acc_seg": 69.98931, "aux.loss_seg": 0.16598, "aux.acc_seg": 68.25194, "loss": 0.51049, "time": 0.72046} -{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 26851, "data_time": 0.00723, "decode.loss_seg": 0.32187, "decode.acc_seg": 70.52959, "aux.loss_seg": 0.16097, "aux.acc_seg": 68.65835, "loss": 0.48284, "time": 0.72023} -{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.3323, "decode.acc_seg": 70.86422, "aux.loss_seg": 0.16317, "aux.acc_seg": 68.87359, "loss": 0.49547, "time": 0.71526} -{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 26851, "data_time": 0.00747, "decode.loss_seg": 0.34091, "decode.acc_seg": 70.04285, "aux.loss_seg": 0.16531, "aux.acc_seg": 68.29867, "loss": 0.50623, "time": 0.71496} -{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.32782, "decode.acc_seg": 70.26482, "aux.loss_seg": 0.16069, "aux.acc_seg": 68.48935, "loss": 0.48851, "time": 0.71676} -{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.32573, "decode.acc_seg": 67.79871, "aux.loss_seg": 0.15897, "aux.acc_seg": 66.23773, "loss": 0.4847, "time": 0.7212} -{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.32683, "decode.acc_seg": 69.79516, "aux.loss_seg": 0.15945, "aux.acc_seg": 67.94849, "loss": 0.48628, "time": 0.72556} -{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.34745, "decode.acc_seg": 69.56904, "aux.loss_seg": 0.16962, "aux.acc_seg": 67.80295, "loss": 0.51707, "time": 0.72394} -{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.3578, "decode.acc_seg": 71.30972, "aux.loss_seg": 0.17386, "aux.acc_seg": 69.60308, "loss": 0.53166, "time": 0.72325} -{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.33135, "decode.acc_seg": 70.46374, "aux.loss_seg": 0.15923, "aux.acc_seg": 68.8689, "loss": 0.49059, "time": 0.71762} -{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.34115, "decode.acc_seg": 70.12103, "aux.loss_seg": 0.16337, "aux.acc_seg": 68.40319, "loss": 0.50452, "time": 0.72179} -{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.35231, "decode.acc_seg": 68.81222, "aux.loss_seg": 0.17048, "aux.acc_seg": 67.13152, "loss": 0.52279, "time": 0.71633} -{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.34659, "decode.acc_seg": 69.2619, "aux.loss_seg": 0.16862, "aux.acc_seg": 67.39699, "loss": 0.5152, "time": 0.72467} -{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 26851, "data_time": 0.23818, "decode.loss_seg": 0.32797, "decode.acc_seg": 70.39407, "aux.loss_seg": 0.15942, "aux.acc_seg": 68.62166, "loss": 0.48739, "time": 0.95285} -{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.32199, "decode.acc_seg": 69.99533, "aux.loss_seg": 0.15879, "aux.acc_seg": 68.12382, "loss": 0.48078, "time": 0.72272} -{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.32507, "decode.acc_seg": 70.29992, "aux.loss_seg": 0.15771, "aux.acc_seg": 68.5146, "loss": 0.48278, "time": 0.72853} -{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.31693, "decode.acc_seg": 70.11559, "aux.loss_seg": 0.15372, "aux.acc_seg": 68.48763, "loss": 0.47065, "time": 0.73638} -{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.31498, "decode.acc_seg": 69.50589, "aux.loss_seg": 0.15633, "aux.acc_seg": 67.69675, "loss": 0.47132, "time": 0.72964} -{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.32266, "decode.acc_seg": 70.08941, "aux.loss_seg": 0.15838, "aux.acc_seg": 68.45243, "loss": 0.48104, "time": 0.72327} -{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.34552, "decode.acc_seg": 71.08706, "aux.loss_seg": 0.16691, "aux.acc_seg": 69.32276, "loss": 0.51242, "time": 0.73288} -{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.31518, "decode.acc_seg": 71.36554, "aux.loss_seg": 0.15468, "aux.acc_seg": 69.55892, "loss": 0.46985, "time": 0.732} -{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 26851, "data_time": 0.00714, "decode.loss_seg": 0.33865, "decode.acc_seg": 70.02031, "aux.loss_seg": 0.1643, "aux.acc_seg": 68.37449, "loss": 0.50294, "time": 0.72688} -{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.33236, "decode.acc_seg": 69.54685, "aux.loss_seg": 0.16119, "aux.acc_seg": 67.8619, "loss": 0.49355, "time": 0.72217} -{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.32695, "decode.acc_seg": 70.69782, "aux.loss_seg": 0.16335, "aux.acc_seg": 68.70545, "loss": 0.4903, "time": 0.72115} -{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 26851, "data_time": 0.00749, "decode.loss_seg": 0.32872, "decode.acc_seg": 71.20184, "aux.loss_seg": 0.16152, "aux.acc_seg": 69.43194, "loss": 0.49024, "time": 0.72358} -{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.32798, "decode.acc_seg": 70.37651, "aux.loss_seg": 0.16076, "aux.acc_seg": 68.49575, "loss": 0.48874, "time": 0.72536} -{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.32768, "decode.acc_seg": 70.93847, "aux.loss_seg": 0.16151, "aux.acc_seg": 68.88047, "loss": 0.48919, "time": 0.72426} -{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.33729, "decode.acc_seg": 69.84486, "aux.loss_seg": 0.16254, "aux.acc_seg": 68.18041, "loss": 0.49983, "time": 0.71855} -{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.33208, "decode.acc_seg": 70.51592, "aux.loss_seg": 0.16135, "aux.acc_seg": 68.88318, "loss": 0.49343, "time": 0.71535} -{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.34113, "decode.acc_seg": 70.82031, "aux.loss_seg": 0.16349, "aux.acc_seg": 69.36824, "loss": 0.50462, "time": 0.71965} -{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.35454, "decode.acc_seg": 70.01931, "aux.loss_seg": 0.16964, "aux.acc_seg": 68.48084, "loss": 0.52418, "time": 0.7251} -{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 26851, "data_time": 0.00712, "decode.loss_seg": 0.34933, "decode.acc_seg": 70.72859, "aux.loss_seg": 0.17053, "aux.acc_seg": 68.87144, "loss": 0.51987, "time": 0.72307} -{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.34046, "decode.acc_seg": 69.08804, "aux.loss_seg": 0.1661, "aux.acc_seg": 67.31938, "loss": 0.50656, "time": 0.72238} -{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.32315, "decode.acc_seg": 69.84926, "aux.loss_seg": 0.15741, "aux.acc_seg": 68.17902, "loss": 0.48055, "time": 0.72061} -{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.32141, "decode.acc_seg": 71.34241, "aux.loss_seg": 0.15711, "aux.acc_seg": 69.61063, "loss": 0.47852, "time": 0.73237} -{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 26851, "data_time": 0.00693, "decode.loss_seg": 0.33047, "decode.acc_seg": 71.20788, "aux.loss_seg": 0.16259, "aux.acc_seg": 69.56961, "loss": 0.49305, "time": 0.72701} -{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.3245, "decode.acc_seg": 70.87178, "aux.loss_seg": 0.15983, "aux.acc_seg": 69.14435, "loss": 0.48433, "time": 0.71495} -{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.31506, "decode.acc_seg": 70.63589, "aux.loss_seg": 0.15532, "aux.acc_seg": 68.99348, "loss": 0.47038, "time": 0.71715} -{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 26851, "data_time": 0.21642, "decode.loss_seg": 0.33435, "decode.acc_seg": 69.64734, "aux.loss_seg": 0.16349, "aux.acc_seg": 67.82209, "loss": 0.49784, "time": 0.93241} -{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.32445, "decode.acc_seg": 70.25872, "aux.loss_seg": 0.1617, "aux.acc_seg": 68.30697, "loss": 0.48615, "time": 0.7192} -{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.33117, "decode.acc_seg": 70.20071, "aux.loss_seg": 0.1634, "aux.acc_seg": 68.3295, "loss": 0.49457, "time": 0.71878} -{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.31481, "decode.acc_seg": 70.429, "aux.loss_seg": 0.15563, "aux.acc_seg": 68.61039, "loss": 0.47044, "time": 0.72055} -{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.30933, "decode.acc_seg": 70.77768, "aux.loss_seg": 0.15334, "aux.acc_seg": 69.02544, "loss": 0.46267, "time": 0.72102} -{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 26851, "data_time": 0.00707, "decode.loss_seg": 0.31765, "decode.acc_seg": 69.77865, "aux.loss_seg": 0.15807, "aux.acc_seg": 67.95582, "loss": 0.47571, "time": 0.72161} -{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.3192, "decode.acc_seg": 71.29902, "aux.loss_seg": 0.15746, "aux.acc_seg": 69.54418, "loss": 0.47666, "time": 0.7197} -{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 26851, "data_time": 0.00705, "decode.loss_seg": 0.31309, "decode.acc_seg": 69.98266, "aux.loss_seg": 0.15529, "aux.acc_seg": 68.1334, "loss": 0.46838, "time": 0.71947} -{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 26851, "data_time": 0.00709, "decode.loss_seg": 0.31834, "decode.acc_seg": 69.38776, "aux.loss_seg": 0.15614, "aux.acc_seg": 67.73956, "loss": 0.47448, "time": 0.71831} -{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 26851, "data_time": 0.00741, "decode.loss_seg": 0.31279, "decode.acc_seg": 70.12338, "aux.loss_seg": 0.15091, "aux.acc_seg": 68.44569, "loss": 0.4637, "time": 0.71567} -{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.32189, "decode.acc_seg": 71.08572, "aux.loss_seg": 0.15458, "aux.acc_seg": 69.30743, "loss": 0.47647, "time": 0.71638} -{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 26851, "data_time": 0.00713, "decode.loss_seg": 0.32169, "decode.acc_seg": 71.41609, "aux.loss_seg": 0.15395, "aux.acc_seg": 69.59797, "loss": 0.47563, "time": 0.71749} -{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.33747, "decode.acc_seg": 70.38354, "aux.loss_seg": 0.16596, "aux.acc_seg": 68.46824, "loss": 0.50343, "time": 0.71892} -{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 26851, "data_time": 0.00688, "decode.loss_seg": 0.31332, "decode.acc_seg": 70.78741, "aux.loss_seg": 0.15465, "aux.acc_seg": 69.08837, "loss": 0.46797, "time": 0.72087} -{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 26851, "data_time": 0.00702, "decode.loss_seg": 0.34153, "decode.acc_seg": 70.61869, "aux.loss_seg": 0.1624, "aux.acc_seg": 69.13268, "loss": 0.50393, "time": 0.72046} -{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.34531, "decode.acc_seg": 70.82237, "aux.loss_seg": 0.167, "aux.acc_seg": 69.18072, "loss": 0.51231, "time": 0.72433} -{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.33277, "decode.acc_seg": 68.65169, "aux.loss_seg": 0.16145, "aux.acc_seg": 67.01305, "loss": 0.49423, "time": 0.71806} -{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.30983, "decode.acc_seg": 70.70443, "aux.loss_seg": 0.15124, "aux.acc_seg": 68.94855, "loss": 0.46107, "time": 0.71735} -{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.31856, "decode.acc_seg": 72.05238, "aux.loss_seg": 0.15678, "aux.acc_seg": 70.28181, "loss": 0.47534, "time": 0.71645} -{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.31851, "decode.acc_seg": 70.99545, "aux.loss_seg": 0.15451, "aux.acc_seg": 69.331, "loss": 0.47302, "time": 0.72263} -{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.32442, "decode.acc_seg": 69.77112, "aux.loss_seg": 0.16102, "aux.acc_seg": 67.81595, "loss": 0.48544, "time": 0.73224} -{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 26851, "data_time": 0.00697, "decode.loss_seg": 0.3307, "decode.acc_seg": 69.90574, "aux.loss_seg": 0.16178, "aux.acc_seg": 68.11003, "loss": 0.49247, "time": 0.72034} -{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.36205, "decode.acc_seg": 69.77, "aux.loss_seg": 0.17591, "aux.acc_seg": 68.09156, "loss": 0.53796, "time": 0.72} -{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.35988, "decode.acc_seg": 69.84679, "aux.loss_seg": 0.17224, "aux.acc_seg": 68.21293, "loss": 0.53211, "time": 0.7143} -{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 26851, "data_time": 0.00687, "decode.loss_seg": 0.322, "decode.acc_seg": 70.93076, "aux.loss_seg": 0.15746, "aux.acc_seg": 69.19455, "loss": 0.47946, "time": 0.71402} -{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4453, "mAcc": 0.5764, "aAcc": 0.808, "IoU.wall": 0.7474, "IoU.building": 0.8056, "IoU.sky": 0.9385, "IoU.floor": 0.8051, "IoU.tree": 0.7243, "IoU.ceiling": 0.8112, "IoU.road": 0.7843, "IoU.bed ": 0.8342, "IoU.windowpane": 0.5824, "IoU.grass": 0.6498, "IoU.cabinet": 0.5423, "IoU.sidewalk": 0.5935, "IoU.person": 0.7644, "IoU.earth": 0.3098, "IoU.door": 0.4056, "IoU.table": 0.5322, "IoU.mountain": 0.5812, "IoU.plant": 0.488, "IoU.curtain": 0.6877, "IoU.chair": 0.5118, "IoU.car": 0.8137, "IoU.water": 0.5726, "IoU.painting": 0.6797, "IoU.sofa": 0.6015, "IoU.shelf": 0.4207, "IoU.house": 0.424, "IoU.sea": 0.5771, "IoU.mirror": 0.5421, "IoU.rug": 0.6945, "IoU.field": 0.2403, "IoU.armchair": 0.3583, "IoU.seat": 0.6061, "IoU.fence": 0.4352, "IoU.desk": 0.4922, "IoU.rock": 0.3028, "IoU.wardrobe": 0.4505, "IoU.lamp": 0.5497, "IoU.bathtub": 0.6907, "IoU.railing": 0.3169, "IoU.cushion": 0.5014, "IoU.base": 0.2427, "IoU.box": 0.2088, "IoU.column": 0.4398, "IoU.signboard": 0.342, "IoU.chest of drawers": 0.3961, "IoU.counter": 0.3378, "IoU.sand": 0.4518, "IoU.sink": 0.6397, "IoU.skyscraper": 0.5659, "IoU.fireplace": NaN, "IoU.refrigerator": 0.653, "IoU.grandstand": 0.428, "IoU.path": 0.2131, "IoU.stairs": 0.1685, "IoU.runway": 0.7231, "IoU.case": 0.3964, "IoU.pool table": 0.903, "IoU.pillow": 0.47, "IoU.screen door": 0.482, "IoU.stairway": 0.2556, "IoU.river": 0.1579, "IoU.bridge": 0.5913, "IoU.bookcase": 0.4306, "IoU.blind": NaN, "IoU.coffee table": 0.5018, "IoU.toilet": 0.779, "IoU.flower": 0.3891, "IoU.book": 0.4598, "IoU.hill": 0.1451, "IoU.bench": 0.4564, "IoU.countertop": 0.5293, "IoU.stove": 0.6274, "IoU.palm": 0.447, "IoU.kitchen island": 0.2985, "IoU.computer": 0.5703, "IoU.swivel chair": 0.4131, "IoU.boat": 0.4219, "IoU.bar": 0.3442, "IoU.arcade machine": 0.7209, "IoU.hovel": 0.2695, "IoU.bus": 0.7953, "IoU.towel": 0.5674, "IoU.light": 0.5121, "IoU.truck": 0.1749, "IoU.tower": 0.0815, "IoU.chandelier": 0.6426, "IoU.awning": 0.2627, "IoU.streetlight": 0.1808, "IoU.booth": 0.5113, "IoU.television receiver": NaN, "IoU.airplane": 0.5735, "IoU.dirt track": 0.0, "IoU.apparel": 0.2423, "IoU.pole": 0.1267, "IoU.land": 0.0045, "IoU.bannister": 0.0759, "IoU.escalator": 0.4373, "IoU.ottoman": 0.3484, "IoU.bottle": NaN, "IoU.buffet": 0.3363, "IoU.poster": 0.2167, "IoU.stage": 0.2084, "IoU.van": 0.3938, "IoU.ship": 0.5443, "IoU.fountain": 0.2363, "IoU.conveyer belt": 0.7122, "IoU.canopy": 0.1655, "IoU.washer": 0.8073, "IoU.plaything": 0.2011, "IoU.swimming pool": 0.6184, "IoU.stool": 0.2979, "IoU.barrel": 0.3938, "IoU.basket": 0.3113, "IoU.waterfall": 0.2818, "IoU.tent": 0.6682, "IoU.bag": 0.1633, "IoU.minibike": 0.6223, "IoU.cradle": NaN, "IoU.oven": 0.1819, "IoU.ball": 0.4242, "IoU.food": 0.5932, "IoU.step": 0.0935, "IoU.tank": 0.5393, "IoU.trade name": 0.1685, "IoU.microwave": 0.7216, "IoU.pot": 0.4852, "IoU.animal": NaN, "IoU.bicycle": 0.4868, "IoU.lake": 0.5892, "IoU.dishwasher": 0.5356, "IoU.screen": 0.589, "IoU.blanket": 0.0853, "IoU.sculpture": 0.4831, "IoU.hood": 0.5502, "IoU.sconce": 0.3028, "IoU.vase": 0.3071, "IoU.traffic light": 0.2383, "IoU.tray": 0.1143, "IoU.ashcan": 0.3129, "IoU.fan": 0.5461, "IoU.pier": 0.3752, "IoU.crt screen": 0.0232, "IoU.plate": 0.5359, "IoU.monitor": 0.0638, "IoU.bulletin board": 0.4342, "IoU.shower": 0.0, "IoU.radiator": 0.4966, "IoU.glass": 0.0907, "IoU.clock": 0.366, "IoU.flag": 0.4308, "Acc.wall": 0.8723, "Acc.building": 0.9215, "Acc.sky": 0.9716, "Acc.floor": 0.8792, "Acc.tree": 0.8558, "Acc.ceiling": 0.884, "Acc.road": 0.8356, "Acc.bed ": 0.9444, "Acc.windowpane": 0.7642, "Acc.grass": 0.8432, "Acc.cabinet": 0.6664, "Acc.sidewalk": 0.8242, "Acc.person": 0.8991, "Acc.earth": 0.3919, "Acc.door": 0.4898, "Acc.table": 0.6854, "Acc.mountain": 0.7478, "Acc.plant": 0.6216, "Acc.curtain": 0.8103, "Acc.chair": 0.618, "Acc.car": 0.8886, "Acc.water": 0.759, "Acc.painting": 0.815, "Acc.sofa": 0.7979, "Acc.shelf": 0.6942, "Acc.house": 0.529, "Acc.sea": 0.6846, "Acc.mirror": 0.6713, "Acc.rug": 0.8038, "Acc.field": 0.3894, "Acc.armchair": 0.5269, "Acc.seat": 0.8324, "Acc.fence": 0.6921, "Acc.desk": 0.6709, "Acc.rock": 0.4689, "Acc.wardrobe": 0.677, "Acc.lamp": 0.7013, "Acc.bathtub": 0.8051, "Acc.railing": 0.4279, "Acc.cushion": 0.7059, "Acc.base": 0.424, "Acc.box": 0.3053, "Acc.column": 0.5757, "Acc.signboard": 0.4781, "Acc.chest of drawers": 0.5702, "Acc.counter": 0.4077, "Acc.sand": 0.7425, "Acc.sink": 0.7933, "Acc.skyscraper": 0.7087, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7248, "Acc.grandstand": 0.673, "Acc.path": 0.4282, "Acc.stairs": 0.2107, "Acc.runway": 0.9536, "Acc.case": 0.4164, "Acc.pool table": 0.9491, "Acc.pillow": 0.5464, "Acc.screen door": 0.6181, "Acc.stairway": 0.4557, "Acc.river": 0.3822, "Acc.bridge": 0.8856, "Acc.bookcase": 0.5951, "Acc.blind": NaN, "Acc.coffee table": 0.7567, "Acc.toilet": 0.8771, "Acc.flower": 0.5057, "Acc.book": 0.7022, "Acc.hill": 0.2273, "Acc.bench": 0.5423, "Acc.countertop": 0.7322, "Acc.stove": 0.7523, "Acc.palm": 0.6445, "Acc.kitchen island": 0.5131, "Acc.computer": 0.6914, "Acc.swivel chair": 0.653, "Acc.boat": 0.5239, "Acc.bar": 0.4296, "Acc.arcade machine": 0.818, "Acc.hovel": 0.2893, "Acc.bus": 0.9596, "Acc.towel": 0.7521, "Acc.light": 0.6223, "Acc.truck": 0.343, "Acc.tower": 0.1247, "Acc.chandelier": 0.7775, "Acc.awning": 0.2961, "Acc.streetlight": 0.2396, "Acc.booth": 0.5995, "Acc.television receiver": NaN, "Acc.airplane": 0.6545, "Acc.dirt track": 0.0, "Acc.apparel": 0.3731, "Acc.pole": 0.1715, "Acc.land": 0.008, "Acc.bannister": 0.1021, "Acc.escalator": 0.8054, "Acc.ottoman": 0.4968, "Acc.bottle": NaN, "Acc.buffet": 0.3726, "Acc.poster": 0.2984, "Acc.stage": 0.3375, "Acc.van": 0.5879, "Acc.ship": 0.8937, "Acc.fountain": 0.241, "Acc.conveyer belt": 0.8876, "Acc.canopy": 0.2378, "Acc.washer": 0.8641, "Acc.plaything": 0.3389, "Acc.swimming pool": 0.7484, "Acc.stool": 0.478, "Acc.barrel": 0.6307, "Acc.basket": 0.3862, "Acc.waterfall": 0.2931, "Acc.tent": 0.9826, "Acc.bag": 0.2131, "Acc.minibike": 0.7883, "Acc.cradle": NaN, "Acc.oven": 0.2782, "Acc.ball": 0.476, "Acc.food": 0.6967, "Acc.step": 0.1117, "Acc.tank": 0.657, "Acc.trade name": 0.189, "Acc.microwave": 0.8684, "Acc.pot": 0.5393, "Acc.animal": NaN, "Acc.bicycle": 0.7339, "Acc.lake": 0.5951, "Acc.dishwasher": 0.6747, "Acc.screen": 0.92, "Acc.blanket": 0.0944, "Acc.sculpture": 0.7324, "Acc.hood": 0.681, "Acc.sconce": 0.3498, "Acc.vase": 0.4804, "Acc.traffic light": 0.4173, "Acc.tray": 0.1854, "Acc.ashcan": 0.4098, "Acc.fan": 0.7422, "Acc.pier": 0.7312, "Acc.crt screen": 0.0655, "Acc.plate": 0.7076, "Acc.monitor": 0.078, "Acc.bulletin board": 0.5231, "Acc.shower": 0.0, "Acc.radiator": 0.561, "Acc.glass": 0.094, "Acc.clock": 0.4615, "Acc.flag": 0.4703} -{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 26851, "data_time": 1.68615, "decode.loss_seg": 0.3118, "decode.acc_seg": 70.48076, "aux.loss_seg": 0.15361, "aux.acc_seg": 68.47614, "loss": 0.46541, "time": 2.39879} -{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 26851, "data_time": 0.00698, "decode.loss_seg": 0.33957, "decode.acc_seg": 70.14877, "aux.loss_seg": 0.16537, "aux.acc_seg": 68.57133, "loss": 0.50494, "time": 0.72239} -{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.29697, "decode.acc_seg": 71.6845, "aux.loss_seg": 0.14804, "aux.acc_seg": 69.8246, "loss": 0.44501, "time": 0.7163} -{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.32748, "decode.acc_seg": 69.55438, "aux.loss_seg": 0.15874, "aux.acc_seg": 68.043, "loss": 0.48622, "time": 0.7186} -{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.32526, "decode.acc_seg": 70.31928, "aux.loss_seg": 0.15771, "aux.acc_seg": 68.685, "loss": 0.48297, "time": 0.726} -{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.3029, "decode.acc_seg": 70.73834, "aux.loss_seg": 0.15163, "aux.acc_seg": 69.01709, "loss": 0.45452, "time": 0.72776} -{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.32152, "decode.acc_seg": 70.83828, "aux.loss_seg": 0.15874, "aux.acc_seg": 68.96641, "loss": 0.48025, "time": 0.71746} -{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 26851, "data_time": 0.00697, "decode.loss_seg": 0.32081, "decode.acc_seg": 70.93641, "aux.loss_seg": 0.15783, "aux.acc_seg": 69.24637, "loss": 0.47863, "time": 0.71276} -{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 26851, "data_time": 0.00702, "decode.loss_seg": 0.31409, "decode.acc_seg": 70.52136, "aux.loss_seg": 0.15583, "aux.acc_seg": 68.79118, "loss": 0.46992, "time": 0.71502} -{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 26851, "data_time": 0.0069, "decode.loss_seg": 0.3124, "decode.acc_seg": 70.70874, "aux.loss_seg": 0.15401, "aux.acc_seg": 68.87929, "loss": 0.46641, "time": 0.71692} -{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 26851, "data_time": 0.00694, "decode.loss_seg": 0.33604, "decode.acc_seg": 70.66661, "aux.loss_seg": 0.16431, "aux.acc_seg": 68.61112, "loss": 0.50036, "time": 0.71927} -{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.34581, "decode.acc_seg": 70.89288, "aux.loss_seg": 0.16826, "aux.acc_seg": 69.11504, "loss": 0.51407, "time": 0.7252} -{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.31975, "decode.acc_seg": 70.53643, "aux.loss_seg": 0.15991, "aux.acc_seg": 68.70007, "loss": 0.47966, "time": 0.72556} -{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.31015, "decode.acc_seg": 70.37021, "aux.loss_seg": 0.15212, "aux.acc_seg": 68.65931, "loss": 0.46227, "time": 0.72775} -{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.30325, "decode.acc_seg": 70.74055, "aux.loss_seg": 0.14974, "aux.acc_seg": 68.89959, "loss": 0.45299, "time": 0.72169} -{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 26851, "data_time": 0.0069, "decode.loss_seg": 0.32925, "decode.acc_seg": 70.71335, "aux.loss_seg": 0.16099, "aux.acc_seg": 68.76076, "loss": 0.49024, "time": 0.72044} -{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.33015, "decode.acc_seg": 70.44348, "aux.loss_seg": 0.16271, "aux.acc_seg": 68.54738, "loss": 0.49286, "time": 0.72162} -{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.34698, "decode.acc_seg": 68.29087, "aux.loss_seg": 0.16682, "aux.acc_seg": 66.62567, "loss": 0.5138, "time": 0.72219} -{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 26851, "data_time": 0.00698, "decode.loss_seg": 0.33535, "decode.acc_seg": 68.85844, "aux.loss_seg": 0.16599, "aux.acc_seg": 66.9714, "loss": 0.50134, "time": 0.72155} -{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.30994, "decode.acc_seg": 70.33007, "aux.loss_seg": 0.15064, "aux.acc_seg": 68.68296, "loss": 0.46058, "time": 0.71624} -{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 26851, "data_time": 0.00717, "decode.loss_seg": 0.32523, "decode.acc_seg": 69.74775, "aux.loss_seg": 0.16043, "aux.acc_seg": 68.00692, "loss": 0.48565, "time": 0.72233} -{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.33652, "decode.acc_seg": 69.88805, "aux.loss_seg": 0.1636, "aux.acc_seg": 68.11206, "loss": 0.50012, "time": 0.72087} -{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.32996, "decode.acc_seg": 68.75996, "aux.loss_seg": 0.15795, "aux.acc_seg": 67.28128, "loss": 0.48792, "time": 0.7277} -{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.31527, "decode.acc_seg": 70.60057, "aux.loss_seg": 0.15555, "aux.acc_seg": 68.93978, "loss": 0.47082, "time": 0.72687} -{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.33702, "decode.acc_seg": 70.1352, "aux.loss_seg": 0.16162, "aux.acc_seg": 68.70934, "loss": 0.49864, "time": 0.72243} -{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 26851, "data_time": 0.21792, "decode.loss_seg": 0.29147, "decode.acc_seg": 71.55113, "aux.loss_seg": 0.14319, "aux.acc_seg": 69.83166, "loss": 0.43466, "time": 0.93583} -{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 26851, "data_time": 0.00696, "decode.loss_seg": 0.31541, "decode.acc_seg": 70.91551, "aux.loss_seg": 0.15544, "aux.acc_seg": 68.99781, "loss": 0.47085, "time": 0.71975} -{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 26851, "data_time": 0.00723, "decode.loss_seg": 0.29365, "decode.acc_seg": 71.56293, "aux.loss_seg": 0.14659, "aux.acc_seg": 69.76676, "loss": 0.44024, "time": 0.71659} -{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.31632, "decode.acc_seg": 69.87833, "aux.loss_seg": 0.15684, "aux.acc_seg": 67.91527, "loss": 0.47317, "time": 0.72313} -{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 26851, "data_time": 0.00708, "decode.loss_seg": 0.30825, "decode.acc_seg": 69.91264, "aux.loss_seg": 0.15305, "aux.acc_seg": 68.12007, "loss": 0.4613, "time": 0.72214} -{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 26851, "data_time": 0.00707, "decode.loss_seg": 0.3033, "decode.acc_seg": 71.05803, "aux.loss_seg": 0.14969, "aux.acc_seg": 69.2751, "loss": 0.45299, "time": 0.72001} -{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 26851, "data_time": 0.00712, "decode.loss_seg": 0.3313, "decode.acc_seg": 69.69909, "aux.loss_seg": 0.16327, "aux.acc_seg": 67.82793, "loss": 0.49456, "time": 0.71485} -{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 26851, "data_time": 0.00717, "decode.loss_seg": 0.30152, "decode.acc_seg": 71.1151, "aux.loss_seg": 0.14741, "aux.acc_seg": 69.39724, "loss": 0.44894, "time": 0.71382} -{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 26851, "data_time": 0.00711, "decode.loss_seg": 0.3243, "decode.acc_seg": 69.69565, "aux.loss_seg": 0.15557, "aux.acc_seg": 68.15883, "loss": 0.47987, "time": 0.71709} -{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.32411, "decode.acc_seg": 70.74795, "aux.loss_seg": 0.15834, "aux.acc_seg": 68.83485, "loss": 0.48244, "time": 0.72054} -{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 26851, "data_time": 0.00701, "decode.loss_seg": 0.31972, "decode.acc_seg": 69.04852, "aux.loss_seg": 0.15621, "aux.acc_seg": 67.36533, "loss": 0.47593, "time": 0.72183} -{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 26851, "data_time": 0.00728, "decode.loss_seg": 0.33555, "decode.acc_seg": 69.08697, "aux.loss_seg": 0.16361, "aux.acc_seg": 67.17149, "loss": 0.49916, "time": 0.72109} -{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.31194, "decode.acc_seg": 70.80522, "aux.loss_seg": 0.15276, "aux.acc_seg": 69.15432, "loss": 0.4647, "time": 0.72151} -{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.31219, "decode.acc_seg": 70.27536, "aux.loss_seg": 0.15251, "aux.acc_seg": 68.52709, "loss": 0.46471, "time": 0.72613} -{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.34319, "decode.acc_seg": 69.65279, "aux.loss_seg": 0.16731, "aux.acc_seg": 68.01441, "loss": 0.5105, "time": 0.71605} -{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.32683, "decode.acc_seg": 70.39976, "aux.loss_seg": 0.15742, "aux.acc_seg": 68.75389, "loss": 0.48425, "time": 0.72444} -{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 26851, "data_time": 0.00738, "decode.loss_seg": 0.36191, "decode.acc_seg": 70.30208, "aux.loss_seg": 0.17388, "aux.acc_seg": 68.46372, "loss": 0.53579, "time": 0.71484} -{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.32407, "decode.acc_seg": 70.8811, "aux.loss_seg": 0.15859, "aux.acc_seg": 69.08049, "loss": 0.48266, "time": 0.71695} -{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.31541, "decode.acc_seg": 69.77788, "aux.loss_seg": 0.15374, "aux.acc_seg": 68.26982, "loss": 0.46914, "time": 0.71982} -{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.32213, "decode.acc_seg": 70.38859, "aux.loss_seg": 0.15901, "aux.acc_seg": 68.68298, "loss": 0.48114, "time": 0.71964} -{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 26851, "data_time": 0.00738, "decode.loss_seg": 0.31853, "decode.acc_seg": 70.64316, "aux.loss_seg": 0.15528, "aux.acc_seg": 69.02389, "loss": 0.47381, "time": 0.72065} -{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.31433, "decode.acc_seg": 71.88215, "aux.loss_seg": 0.15489, "aux.acc_seg": 70.19732, "loss": 0.46923, "time": 0.71745} -{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.30917, "decode.acc_seg": 69.66676, "aux.loss_seg": 0.15146, "aux.acc_seg": 68.12566, "loss": 0.46063, "time": 0.72048} -{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.32156, "decode.acc_seg": 71.16298, "aux.loss_seg": 0.16108, "aux.acc_seg": 69.22059, "loss": 0.48264, "time": 0.71856} -{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.32473, "decode.acc_seg": 69.51232, "aux.loss_seg": 0.15804, "aux.acc_seg": 67.69432, "loss": 0.48277, "time": 0.71886} -{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 26851, "data_time": 0.2222, "decode.loss_seg": 0.31238, "decode.acc_seg": 70.73924, "aux.loss_seg": 0.15184, "aux.acc_seg": 69.21018, "loss": 0.46421, "time": 0.93617} -{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 26851, "data_time": 0.00699, "decode.loss_seg": 0.30868, "decode.acc_seg": 71.35819, "aux.loss_seg": 0.14997, "aux.acc_seg": 69.62395, "loss": 0.45864, "time": 0.71891} -{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.29976, "decode.acc_seg": 71.12762, "aux.loss_seg": 0.14691, "aux.acc_seg": 69.4666, "loss": 0.44667, "time": 0.71927} -{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 26851, "data_time": 0.00719, "decode.loss_seg": 0.30242, "decode.acc_seg": 71.59242, "aux.loss_seg": 0.15143, "aux.acc_seg": 69.7435, "loss": 0.45385, "time": 0.71903} -{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.3249, "decode.acc_seg": 70.59832, "aux.loss_seg": 0.15689, "aux.acc_seg": 69.06415, "loss": 0.48179, "time": 0.72429} -{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.31559, "decode.acc_seg": 71.07769, "aux.loss_seg": 0.15503, "aux.acc_seg": 69.20259, "loss": 0.47061, "time": 0.71759} -{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.30929, "decode.acc_seg": 70.18225, "aux.loss_seg": 0.15313, "aux.acc_seg": 68.40769, "loss": 0.46242, "time": 0.72633} -{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.32764, "decode.acc_seg": 70.72321, "aux.loss_seg": 0.16022, "aux.acc_seg": 69.02351, "loss": 0.48786, "time": 0.7216} -{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 26851, "data_time": 0.00732, "decode.loss_seg": 0.30767, "decode.acc_seg": 70.76892, "aux.loss_seg": 0.15036, "aux.acc_seg": 69.02671, "loss": 0.45803, "time": 0.72855} -{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 26851, "data_time": 0.00706, "decode.loss_seg": 0.2987, "decode.acc_seg": 70.59565, "aux.loss_seg": 0.14716, "aux.acc_seg": 68.91563, "loss": 0.44586, "time": 0.72099} -{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 26851, "data_time": 0.00705, "decode.loss_seg": 0.30306, "decode.acc_seg": 70.84276, "aux.loss_seg": 0.14915, "aux.acc_seg": 68.9512, "loss": 0.4522, "time": 0.71684} -{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.30023, "decode.acc_seg": 70.46146, "aux.loss_seg": 0.14815, "aux.acc_seg": 68.58978, "loss": 0.44838, "time": 0.71522} -{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.31711, "decode.acc_seg": 69.3393, "aux.loss_seg": 0.15621, "aux.acc_seg": 67.48121, "loss": 0.47331, "time": 0.71984} -{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.31581, "decode.acc_seg": 71.3341, "aux.loss_seg": 0.15673, "aux.acc_seg": 69.66473, "loss": 0.47254, "time": 0.72569} -{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.30592, "decode.acc_seg": 71.61385, "aux.loss_seg": 0.15161, "aux.acc_seg": 69.81602, "loss": 0.45753, "time": 0.72889} -{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.31834, "decode.acc_seg": 70.47488, "aux.loss_seg": 0.15733, "aux.acc_seg": 68.64469, "loss": 0.47567, "time": 0.7343} -{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.30185, "decode.acc_seg": 69.7991, "aux.loss_seg": 0.14882, "aux.acc_seg": 68.20111, "loss": 0.45067, "time": 0.73284} -{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.30624, "decode.acc_seg": 71.18497, "aux.loss_seg": 0.15117, "aux.acc_seg": 69.49832, "loss": 0.45741, "time": 0.73304} -{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.31593, "decode.acc_seg": 70.78586, "aux.loss_seg": 0.15407, "aux.acc_seg": 69.31679, "loss": 0.46999, "time": 0.73549} -{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.31226, "decode.acc_seg": 72.39816, "aux.loss_seg": 0.15526, "aux.acc_seg": 70.39349, "loss": 0.46752, "time": 0.72788} -{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.33247, "decode.acc_seg": 71.54233, "aux.loss_seg": 0.1656, "aux.acc_seg": 69.5901, "loss": 0.49807, "time": 0.73121} -{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.30872, "decode.acc_seg": 70.51472, "aux.loss_seg": 0.15037, "aux.acc_seg": 68.77552, "loss": 0.45909, "time": 0.73076} -{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.31008, "decode.acc_seg": 70.93616, "aux.loss_seg": 0.15429, "aux.acc_seg": 69.14174, "loss": 0.46437, "time": 0.73241} -{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.32389, "decode.acc_seg": 70.65918, "aux.loss_seg": 0.16035, "aux.acc_seg": 68.77134, "loss": 0.48424, "time": 0.73049} -{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.31003, "decode.acc_seg": 70.45235, "aux.loss_seg": 0.15491, "aux.acc_seg": 68.71248, "loss": 0.46494, "time": 0.73437} -{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 26851, "data_time": 0.24471, "decode.loss_seg": 0.32249, "decode.acc_seg": 69.12188, "aux.loss_seg": 0.15289, "aux.acc_seg": 67.75867, "loss": 0.47539, "time": 0.96491} -{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.29393, "decode.acc_seg": 71.65991, "aux.loss_seg": 0.14573, "aux.acc_seg": 69.89369, "loss": 0.43967, "time": 0.72534} -{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.28989, "decode.acc_seg": 70.94014, "aux.loss_seg": 0.14125, "aux.acc_seg": 69.47292, "loss": 0.43114, "time": 0.72534} -{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.29418, "decode.acc_seg": 72.0841, "aux.loss_seg": 0.14712, "aux.acc_seg": 70.33903, "loss": 0.44131, "time": 0.73251} -{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.30808, "decode.acc_seg": 70.54358, "aux.loss_seg": 0.15171, "aux.acc_seg": 68.79395, "loss": 0.45978, "time": 0.73125} -{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.30675, "decode.acc_seg": 69.08997, "aux.loss_seg": 0.14975, "aux.acc_seg": 67.58146, "loss": 0.4565, "time": 0.73662} -{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.30693, "decode.acc_seg": 71.1489, "aux.loss_seg": 0.15138, "aux.acc_seg": 69.33719, "loss": 0.45832, "time": 0.72853} -{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.3105, "decode.acc_seg": 71.56299, "aux.loss_seg": 0.15547, "aux.acc_seg": 69.6733, "loss": 0.46597, "time": 0.72915} -{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.31092, "decode.acc_seg": 70.84571, "aux.loss_seg": 0.1531, "aux.acc_seg": 69.19355, "loss": 0.46401, "time": 0.72828} -{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.29833, "decode.acc_seg": 69.8921, "aux.loss_seg": 0.15077, "aux.acc_seg": 68.07509, "loss": 0.4491, "time": 0.72517} -{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.30704, "decode.acc_seg": 70.92978, "aux.loss_seg": 0.15093, "aux.acc_seg": 69.13875, "loss": 0.45797, "time": 0.72692} -{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.33327, "decode.acc_seg": 72.43827, "aux.loss_seg": 0.16382, "aux.acc_seg": 70.51571, "loss": 0.49709, "time": 0.7293} -{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.32371, "decode.acc_seg": 70.2167, "aux.loss_seg": 0.15882, "aux.acc_seg": 68.37398, "loss": 0.48253, "time": 0.73438} -{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.29905, "decode.acc_seg": 72.91983, "aux.loss_seg": 0.14735, "aux.acc_seg": 71.1944, "loss": 0.4464, "time": 0.72713} -{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.31295, "decode.acc_seg": 71.99529, "aux.loss_seg": 0.15281, "aux.acc_seg": 70.2598, "loss": 0.46577, "time": 0.7206} -{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.30462, "decode.acc_seg": 72.01601, "aux.loss_seg": 0.15133, "aux.acc_seg": 70.15562, "loss": 0.45595, "time": 0.72815} -{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.32059, "decode.acc_seg": 69.66983, "aux.loss_seg": 0.15458, "aux.acc_seg": 67.92951, "loss": 0.47516, "time": 0.73188} -{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.31733, "decode.acc_seg": 70.80565, "aux.loss_seg": 0.15876, "aux.acc_seg": 68.83644, "loss": 0.47609, "time": 0.73491} -{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.31729, "decode.acc_seg": 70.6887, "aux.loss_seg": 0.15273, "aux.acc_seg": 69.15773, "loss": 0.47001, "time": 0.73378} -{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.31755, "decode.acc_seg": 70.55801, "aux.loss_seg": 0.15914, "aux.acc_seg": 68.64819, "loss": 0.47668, "time": 0.73001} -{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.31839, "decode.acc_seg": 72.17944, "aux.loss_seg": 0.15433, "aux.acc_seg": 70.51182, "loss": 0.47272, "time": 0.73258} -{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.29195, "decode.acc_seg": 70.32206, "aux.loss_seg": 0.14588, "aux.acc_seg": 68.5187, "loss": 0.43783, "time": 0.72482} -{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.30985, "decode.acc_seg": 71.33985, "aux.loss_seg": 0.15466, "aux.acc_seg": 69.44073, "loss": 0.46451, "time": 0.7282} -{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.31902, "decode.acc_seg": 69.87548, "aux.loss_seg": 0.15851, "aux.acc_seg": 67.79891, "loss": 0.47753, "time": 0.72467} -{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.30904, "decode.acc_seg": 71.7939, "aux.loss_seg": 0.15074, "aux.acc_seg": 70.16202, "loss": 0.45977, "time": 0.73398} -{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 26851, "data_time": 0.24606, "decode.loss_seg": 0.31786, "decode.acc_seg": 70.35181, "aux.loss_seg": 0.15824, "aux.acc_seg": 68.41164, "loss": 0.4761, "time": 0.97632} -{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.28969, "decode.acc_seg": 71.82538, "aux.loss_seg": 0.14468, "aux.acc_seg": 70.03158, "loss": 0.43436, "time": 0.73654} -{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.29843, "decode.acc_seg": 70.68258, "aux.loss_seg": 0.14952, "aux.acc_seg": 68.6962, "loss": 0.44796, "time": 0.73102} -{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.29115, "decode.acc_seg": 71.28351, "aux.loss_seg": 0.14468, "aux.acc_seg": 69.46548, "loss": 0.43583, "time": 0.73366} -{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.30289, "decode.acc_seg": 71.07091, "aux.loss_seg": 0.15042, "aux.acc_seg": 69.29397, "loss": 0.45331, "time": 0.73354} -{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 26851, "data_time": 0.00913, "decode.loss_seg": 0.28432, "decode.acc_seg": 72.25608, "aux.loss_seg": 0.14441, "aux.acc_seg": 70.4892, "loss": 0.42873, "time": 0.73716} -{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.31421, "decode.acc_seg": 71.6512, "aux.loss_seg": 0.15738, "aux.acc_seg": 69.79972, "loss": 0.47159, "time": 0.72339} -{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.31525, "decode.acc_seg": 70.7901, "aux.loss_seg": 0.15753, "aux.acc_seg": 68.88199, "loss": 0.47278, "time": 0.71924} -{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.3138, "decode.acc_seg": 70.53869, "aux.loss_seg": 0.15456, "aux.acc_seg": 68.81166, "loss": 0.46836, "time": 0.73216} -{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.31098, "decode.acc_seg": 72.36051, "aux.loss_seg": 0.15348, "aux.acc_seg": 70.52415, "loss": 0.46446, "time": 0.72871} -{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.28257, "decode.acc_seg": 69.70113, "aux.loss_seg": 0.14491, "aux.acc_seg": 67.73049, "loss": 0.42748, "time": 0.73145} -{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.31361, "decode.acc_seg": 70.12961, "aux.loss_seg": 0.15209, "aux.acc_seg": 68.51051, "loss": 0.4657, "time": 0.7358} -{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.31347, "decode.acc_seg": 71.74204, "aux.loss_seg": 0.15501, "aux.acc_seg": 70.01639, "loss": 0.46847, "time": 0.72625} -{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.30533, "decode.acc_seg": 71.09159, "aux.loss_seg": 0.15183, "aux.acc_seg": 69.28453, "loss": 0.45716, "time": 0.72646} -{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.29362, "decode.acc_seg": 70.69485, "aux.loss_seg": 0.14506, "aux.acc_seg": 69.07394, "loss": 0.43868, "time": 0.73448} -{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.30867, "decode.acc_seg": 71.3718, "aux.loss_seg": 0.15008, "aux.acc_seg": 69.70996, "loss": 0.45875, "time": 0.73668} -{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.29327, "decode.acc_seg": 71.0339, "aux.loss_seg": 0.14569, "aux.acc_seg": 69.28652, "loss": 0.43896, "time": 0.73183} -{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.31005, "decode.acc_seg": 70.63695, "aux.loss_seg": 0.14981, "aux.acc_seg": 69.05133, "loss": 0.45986, "time": 0.73115} -{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 26851, "data_time": 0.00963, "decode.loss_seg": 0.3052, "decode.acc_seg": 69.93458, "aux.loss_seg": 0.14972, "aux.acc_seg": 68.23729, "loss": 0.45492, "time": 0.73736} -{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.31607, "decode.acc_seg": 69.44212, "aux.loss_seg": 0.1565, "aux.acc_seg": 67.6422, "loss": 0.47257, "time": 0.73476} -{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.29676, "decode.acc_seg": 70.01675, "aux.loss_seg": 0.14505, "aux.acc_seg": 68.39932, "loss": 0.44181, "time": 0.72598} -{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.29792, "decode.acc_seg": 71.27061, "aux.loss_seg": 0.14739, "aux.acc_seg": 69.54433, "loss": 0.44531, "time": 0.72821} -{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.30572, "decode.acc_seg": 71.17457, "aux.loss_seg": 0.15285, "aux.acc_seg": 69.29321, "loss": 0.45858, "time": 0.72888} -{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.29413, "decode.acc_seg": 70.41277, "aux.loss_seg": 0.14592, "aux.acc_seg": 68.64674, "loss": 0.44005, "time": 0.73075} -{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.29765, "decode.acc_seg": 71.05833, "aux.loss_seg": 0.14878, "aux.acc_seg": 69.07475, "loss": 0.44642, "time": 0.73056} -{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.29715, "decode.acc_seg": 71.73197, "aux.loss_seg": 0.1481, "aux.acc_seg": 69.86336, "loss": 0.44525, "time": 0.72744} -{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 26851, "data_time": 0.24469, "decode.loss_seg": 0.27197, "decode.acc_seg": 71.53266, "aux.loss_seg": 0.13667, "aux.acc_seg": 69.77712, "loss": 0.40864, "time": 0.96433} -{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.29507, "decode.acc_seg": 71.82605, "aux.loss_seg": 0.14635, "aux.acc_seg": 70.02492, "loss": 0.44142, "time": 0.73072} -{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.29956, "decode.acc_seg": 72.05376, "aux.loss_seg": 0.15306, "aux.acc_seg": 69.95888, "loss": 0.45262, "time": 0.73097} -{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.29419, "decode.acc_seg": 72.38511, "aux.loss_seg": 0.14975, "aux.acc_seg": 70.38893, "loss": 0.44394, "time": 0.73115} -{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.30531, "decode.acc_seg": 71.34922, "aux.loss_seg": 0.15127, "aux.acc_seg": 69.5901, "loss": 0.45659, "time": 0.7313} -{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.29322, "decode.acc_seg": 72.87755, "aux.loss_seg": 0.14881, "aux.acc_seg": 70.97325, "loss": 0.44203, "time": 0.73933} -{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.29415, "decode.acc_seg": 70.85166, "aux.loss_seg": 0.1455, "aux.acc_seg": 69.12796, "loss": 0.43965, "time": 0.73576} -{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.29775, "decode.acc_seg": 71.49085, "aux.loss_seg": 0.14786, "aux.acc_seg": 69.8636, "loss": 0.44561, "time": 0.72973} -{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.30362, "decode.acc_seg": 70.76682, "aux.loss_seg": 0.15061, "aux.acc_seg": 68.94872, "loss": 0.45422, "time": 0.72763} -{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.29012, "decode.acc_seg": 71.43535, "aux.loss_seg": 0.14401, "aux.acc_seg": 69.66946, "loss": 0.43413, "time": 0.73104} -{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.31211, "decode.acc_seg": 71.87318, "aux.loss_seg": 0.15621, "aux.acc_seg": 70.04172, "loss": 0.46832, "time": 0.72767} -{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.30037, "decode.acc_seg": 71.03463, "aux.loss_seg": 0.1499, "aux.acc_seg": 69.33361, "loss": 0.45027, "time": 0.73801} -{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.29097, "decode.acc_seg": 71.35284, "aux.loss_seg": 0.14564, "aux.acc_seg": 69.60077, "loss": 0.43661, "time": 0.72835} -{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.30802, "decode.acc_seg": 70.51215, "aux.loss_seg": 0.15046, "aux.acc_seg": 68.93671, "loss": 0.45848, "time": 0.73244} -{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.31531, "decode.acc_seg": 70.97775, "aux.loss_seg": 0.1529, "aux.acc_seg": 69.42215, "loss": 0.46821, "time": 0.7275} -{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.29207, "decode.acc_seg": 71.11755, "aux.loss_seg": 0.14235, "aux.acc_seg": 69.44865, "loss": 0.43442, "time": 0.72801} -{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.30401, "decode.acc_seg": 70.38984, "aux.loss_seg": 0.14967, "aux.acc_seg": 68.49306, "loss": 0.45368, "time": 0.72756} -{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.30547, "decode.acc_seg": 70.38906, "aux.loss_seg": 0.15074, "aux.acc_seg": 68.62716, "loss": 0.4562, "time": 0.73037} -{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.3007, "decode.acc_seg": 71.08231, "aux.loss_seg": 0.15156, "aux.acc_seg": 68.8976, "loss": 0.45226, "time": 0.73237} -{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.30379, "decode.acc_seg": 71.02183, "aux.loss_seg": 0.14983, "aux.acc_seg": 69.27439, "loss": 0.45362, "time": 0.7298} -{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.30477, "decode.acc_seg": 70.53531, "aux.loss_seg": 0.15083, "aux.acc_seg": 68.71813, "loss": 0.4556, "time": 0.73691} -{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.29263, "decode.acc_seg": 69.42158, "aux.loss_seg": 0.14481, "aux.acc_seg": 67.77519, "loss": 0.43744, "time": 0.72308} -{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.29349, "decode.acc_seg": 70.88553, "aux.loss_seg": 0.14745, "aux.acc_seg": 69.01743, "loss": 0.44094, "time": 0.72469} -{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.30986, "decode.acc_seg": 71.48393, "aux.loss_seg": 0.14959, "aux.acc_seg": 70.11303, "loss": 0.45944, "time": 0.7305} -{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 26851, "data_time": 0.00918, "decode.loss_seg": 0.30573, "decode.acc_seg": 71.33255, "aux.loss_seg": 0.1521, "aux.acc_seg": 69.55772, "loss": 0.45783, "time": 0.73088} -{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 26851, "data_time": 0.24512, "decode.loss_seg": 0.30579, "decode.acc_seg": 70.62853, "aux.loss_seg": 0.15453, "aux.acc_seg": 68.5177, "loss": 0.46032, "time": 0.9737} -{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.28706, "decode.acc_seg": 71.46979, "aux.loss_seg": 0.13996, "aux.acc_seg": 69.85298, "loss": 0.42701, "time": 0.7326} -{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.2907, "decode.acc_seg": 70.54977, "aux.loss_seg": 0.14127, "aux.acc_seg": 68.85693, "loss": 0.43197, "time": 0.73095} -{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.30669, "decode.acc_seg": 72.17771, "aux.loss_seg": 0.15364, "aux.acc_seg": 70.20393, "loss": 0.46034, "time": 0.73131} -{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.2899, "decode.acc_seg": 71.97492, "aux.loss_seg": 0.14447, "aux.acc_seg": 70.17181, "loss": 0.43437, "time": 0.72045} -{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.31132, "decode.acc_seg": 71.01912, "aux.loss_seg": 0.15133, "aux.acc_seg": 69.42406, "loss": 0.46265, "time": 0.7259} -{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.30118, "decode.acc_seg": 71.65962, "aux.loss_seg": 0.14964, "aux.acc_seg": 69.85309, "loss": 0.45082, "time": 0.72897} -{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.29143, "decode.acc_seg": 71.42496, "aux.loss_seg": 0.14628, "aux.acc_seg": 69.43483, "loss": 0.43771, "time": 0.73588} -{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.28871, "decode.acc_seg": 71.20254, "aux.loss_seg": 0.14514, "aux.acc_seg": 69.47609, "loss": 0.43385, "time": 0.74009} -{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.2838, "decode.acc_seg": 72.21445, "aux.loss_seg": 0.14229, "aux.acc_seg": 70.39273, "loss": 0.42609, "time": 0.73514} -{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.30042, "decode.acc_seg": 70.52933, "aux.loss_seg": 0.14768, "aux.acc_seg": 68.93269, "loss": 0.4481, "time": 0.72791} -{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 26851, "data_time": 0.00921, "decode.loss_seg": 0.27725, "decode.acc_seg": 71.87418, "aux.loss_seg": 0.1375, "aux.acc_seg": 70.35597, "loss": 0.41475, "time": 0.72706} -{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.29867, "decode.acc_seg": 71.22714, "aux.loss_seg": 0.14688, "aux.acc_seg": 69.51252, "loss": 0.44555, "time": 0.72481} -{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.30239, "decode.acc_seg": 71.88689, "aux.loss_seg": 0.15214, "aux.acc_seg": 69.96929, "loss": 0.45453, "time": 0.72836} -{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.29979, "decode.acc_seg": 70.72295, "aux.loss_seg": 0.14947, "aux.acc_seg": 68.9783, "loss": 0.44926, "time": 0.73641} -{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.29443, "decode.acc_seg": 70.2852, "aux.loss_seg": 0.14837, "aux.acc_seg": 68.52693, "loss": 0.4428, "time": 0.73996} -{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.30514, "decode.acc_seg": 70.41661, "aux.loss_seg": 0.15181, "aux.acc_seg": 68.5186, "loss": 0.45695, "time": 0.73289} -{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.28723, "decode.acc_seg": 70.93945, "aux.loss_seg": 0.14375, "aux.acc_seg": 69.27057, "loss": 0.43099, "time": 0.72512} -{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.29543, "decode.acc_seg": 68.99212, "aux.loss_seg": 0.14705, "aux.acc_seg": 67.24122, "loss": 0.44249, "time": 0.72282} -{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.31042, "decode.acc_seg": 70.63889, "aux.loss_seg": 0.15344, "aux.acc_seg": 68.98674, "loss": 0.46386, "time": 0.73223} -{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.29993, "decode.acc_seg": 70.102, "aux.loss_seg": 0.14885, "aux.acc_seg": 68.41611, "loss": 0.44878, "time": 0.72947} -{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.2966, "decode.acc_seg": 71.32653, "aux.loss_seg": 0.14827, "aux.acc_seg": 69.55796, "loss": 0.44486, "time": 0.73053} -{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.29998, "decode.acc_seg": 72.3863, "aux.loss_seg": 0.14924, "aux.acc_seg": 70.56911, "loss": 0.44923, "time": 0.73183} -{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.29491, "decode.acc_seg": 71.85091, "aux.loss_seg": 0.14747, "aux.acc_seg": 69.94435, "loss": 0.44238, "time": 0.7263} -{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.30329, "decode.acc_seg": 71.21969, "aux.loss_seg": 0.15094, "aux.acc_seg": 69.25576, "loss": 0.45423, "time": 0.72438} -{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 26851, "data_time": 0.25812, "decode.loss_seg": 0.31145, "decode.acc_seg": 71.56233, "aux.loss_seg": 0.15133, "aux.acc_seg": 70.03056, "loss": 0.46278, "time": 0.97721} -{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.28339, "decode.acc_seg": 69.6776, "aux.loss_seg": 0.14172, "aux.acc_seg": 67.89782, "loss": 0.42511, "time": 0.73224} -{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.28734, "decode.acc_seg": 71.08178, "aux.loss_seg": 0.14536, "aux.acc_seg": 69.1264, "loss": 0.4327, "time": 0.72847} -{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.2898, "decode.acc_seg": 71.66632, "aux.loss_seg": 0.14351, "aux.acc_seg": 69.97237, "loss": 0.43331, "time": 0.72868} -{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.27416, "decode.acc_seg": 71.47559, "aux.loss_seg": 0.1378, "aux.acc_seg": 69.75158, "loss": 0.41196, "time": 0.73108} -{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.29778, "decode.acc_seg": 71.28303, "aux.loss_seg": 0.14826, "aux.acc_seg": 69.47687, "loss": 0.44603, "time": 0.73124} -{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.28371, "decode.acc_seg": 71.97059, "aux.loss_seg": 0.14427, "aux.acc_seg": 70.13433, "loss": 0.42798, "time": 0.73062} -{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.28578, "decode.acc_seg": 72.15972, "aux.loss_seg": 0.1429, "aux.acc_seg": 70.36477, "loss": 0.42868, "time": 0.72563} -{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.29885, "decode.acc_seg": 71.60242, "aux.loss_seg": 0.14937, "aux.acc_seg": 69.78315, "loss": 0.44821, "time": 0.73466} -{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.30574, "decode.acc_seg": 69.98219, "aux.loss_seg": 0.14967, "aux.acc_seg": 68.19674, "loss": 0.45541, "time": 0.72904} -{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.28762, "decode.acc_seg": 72.60954, "aux.loss_seg": 0.14215, "aux.acc_seg": 70.91752, "loss": 0.42977, "time": 0.73383} -{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.27233, "decode.acc_seg": 70.5049, "aux.loss_seg": 0.13763, "aux.acc_seg": 68.71367, "loss": 0.40996, "time": 0.72991} -{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.27781, "decode.acc_seg": 72.698, "aux.loss_seg": 0.1373, "aux.acc_seg": 70.96919, "loss": 0.41511, "time": 0.72991} -{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.29031, "decode.acc_seg": 71.06199, "aux.loss_seg": 0.14696, "aux.acc_seg": 69.21766, "loss": 0.43727, "time": 0.728} -{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.29743, "decode.acc_seg": 71.14859, "aux.loss_seg": 0.14747, "aux.acc_seg": 69.5322, "loss": 0.4449, "time": 0.72448} -{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.30674, "decode.acc_seg": 71.59333, "aux.loss_seg": 0.15295, "aux.acc_seg": 69.71952, "loss": 0.45969, "time": 0.73055} -{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.29414, "decode.acc_seg": 71.98596, "aux.loss_seg": 0.14703, "aux.acc_seg": 70.14285, "loss": 0.44117, "time": 0.73272} -{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.29272, "decode.acc_seg": 70.81046, "aux.loss_seg": 0.14627, "aux.acc_seg": 68.81176, "loss": 0.43899, "time": 0.73114} -{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.30444, "decode.acc_seg": 69.89857, "aux.loss_seg": 0.15113, "aux.acc_seg": 68.20219, "loss": 0.45557, "time": 0.73307} -{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.31118, "decode.acc_seg": 70.95554, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.30223, "loss": 0.46298, "time": 0.72562} -{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 26851, "data_time": 0.00749, "decode.loss_seg": 0.29263, "decode.acc_seg": 71.87557, "aux.loss_seg": 0.14691, "aux.acc_seg": 70.03252, "loss": 0.43955, "time": 0.72699} -{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.28538, "decode.acc_seg": 71.56664, "aux.loss_seg": 0.14271, "aux.acc_seg": 69.76444, "loss": 0.4281, "time": 0.72636} -{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.31385, "decode.acc_seg": 72.2236, "aux.loss_seg": 0.15601, "aux.acc_seg": 70.24085, "loss": 0.46986, "time": 0.72652} -{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.31054, "decode.acc_seg": 70.75264, "aux.loss_seg": 0.15205, "aux.acc_seg": 69.14128, "loss": 0.46259, "time": 0.73328} -{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.29172, "decode.acc_seg": 72.36528, "aux.loss_seg": 0.14527, "aux.acc_seg": 70.55648, "loss": 0.43698, "time": 0.73634} -{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 26851, "data_time": 0.25249, "decode.loss_seg": 0.27649, "decode.acc_seg": 69.74485, "aux.loss_seg": 0.13959, "aux.acc_seg": 67.91109, "loss": 0.41609, "time": 0.97967} -{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.29375, "decode.acc_seg": 72.17127, "aux.loss_seg": 0.14663, "aux.acc_seg": 70.23727, "loss": 0.44038, "time": 0.734} -{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.29701, "decode.acc_seg": 70.87838, "aux.loss_seg": 0.14915, "aux.acc_seg": 69.06727, "loss": 0.44617, "time": 0.72892} -{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.30134, "decode.acc_seg": 70.72575, "aux.loss_seg": 0.14855, "aux.acc_seg": 69.00146, "loss": 0.44988, "time": 0.73295} -{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.27969, "decode.acc_seg": 71.82236, "aux.loss_seg": 0.13946, "aux.acc_seg": 70.15792, "loss": 0.41915, "time": 0.73196} -{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.26998, "decode.acc_seg": 72.07504, "aux.loss_seg": 0.13458, "aux.acc_seg": 70.35827, "loss": 0.40456, "time": 0.72599} -{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.29525, "decode.acc_seg": 69.89138, "aux.loss_seg": 0.14749, "aux.acc_seg": 68.19209, "loss": 0.44274, "time": 0.72843} -{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.29336, "decode.acc_seg": 72.49784, "aux.loss_seg": 0.14303, "aux.acc_seg": 70.92762, "loss": 0.43639, "time": 0.7274} -{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.29639, "decode.acc_seg": 70.75476, "aux.loss_seg": 0.1484, "aux.acc_seg": 68.92784, "loss": 0.44479, "time": 0.74063} -{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.29468, "decode.acc_seg": 71.58785, "aux.loss_seg": 0.14398, "aux.acc_seg": 69.97537, "loss": 0.43865, "time": 0.7359} -{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.27854, "decode.acc_seg": 73.85448, "aux.loss_seg": 0.14029, "aux.acc_seg": 72.07326, "loss": 0.41882, "time": 0.72946} -{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.28009, "decode.acc_seg": 71.38595, "aux.loss_seg": 0.14075, "aux.acc_seg": 69.53023, "loss": 0.42084, "time": 0.72413} -{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.30812, "decode.acc_seg": 71.61914, "aux.loss_seg": 0.15335, "aux.acc_seg": 69.9346, "loss": 0.46147, "time": 0.72645} -{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.2929, "decode.acc_seg": 70.9862, "aux.loss_seg": 0.14584, "aux.acc_seg": 69.26895, "loss": 0.43874, "time": 0.72491} -{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.30032, "decode.acc_seg": 71.99247, "aux.loss_seg": 0.14939, "aux.acc_seg": 70.45798, "loss": 0.44971, "time": 0.72792} -{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.30239, "decode.acc_seg": 71.53004, "aux.loss_seg": 0.15016, "aux.acc_seg": 69.8177, "loss": 0.45255, "time": 0.73015} -{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.28997, "decode.acc_seg": 71.51418, "aux.loss_seg": 0.14424, "aux.acc_seg": 69.81851, "loss": 0.43421, "time": 0.73853} -{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.30426, "decode.acc_seg": 70.87099, "aux.loss_seg": 0.14591, "aux.acc_seg": 69.3344, "loss": 0.45017, "time": 0.73575} -{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28818, "decode.acc_seg": 71.50094, "aux.loss_seg": 0.14085, "aux.acc_seg": 70.04327, "loss": 0.42904, "time": 0.73706} -{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.28577, "decode.acc_seg": 70.97223, "aux.loss_seg": 0.14261, "aux.acc_seg": 69.12822, "loss": 0.42838, "time": 0.73362} -{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.27693, "decode.acc_seg": 71.00018, "aux.loss_seg": 0.13693, "aux.acc_seg": 69.35344, "loss": 0.41386, "time": 0.72694} -{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.30611, "decode.acc_seg": 71.58851, "aux.loss_seg": 0.14938, "aux.acc_seg": 69.98177, "loss": 0.45548, "time": 0.73164} -{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.30574, "decode.acc_seg": 71.08851, "aux.loss_seg": 0.15051, "aux.acc_seg": 69.45806, "loss": 0.45625, "time": 0.72825} -{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.30579, "decode.acc_seg": 70.7363, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.05036, "loss": 0.45692, "time": 0.73758} -{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.28173, "decode.acc_seg": 70.8026, "aux.loss_seg": 0.14076, "aux.acc_seg": 69.08723, "loss": 0.42248, "time": 0.73988} -{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.30228, "decode.acc_seg": 69.88921, "aux.loss_seg": 0.15248, "aux.acc_seg": 67.79164, "loss": 0.45477, "time": 0.73363} -{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 26851, "data_time": 0.24614, "decode.loss_seg": 0.30396, "decode.acc_seg": 70.85576, "aux.loss_seg": 0.15303, "aux.acc_seg": 69.05008, "loss": 0.45699, "time": 0.97303} -{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.30992, "decode.acc_seg": 71.17901, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.65692, "loss": 0.45967, "time": 0.72791} -{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.28708, "decode.acc_seg": 70.96742, "aux.loss_seg": 0.14511, "aux.acc_seg": 69.08206, "loss": 0.43219, "time": 0.7283} -{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.28393, "decode.acc_seg": 70.0587, "aux.loss_seg": 0.14387, "aux.acc_seg": 68.18089, "loss": 0.42779, "time": 0.73436} -{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.28637, "decode.acc_seg": 72.02565, "aux.loss_seg": 0.14478, "aux.acc_seg": 69.96661, "loss": 0.43115, "time": 0.73369} -{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.28935, "decode.acc_seg": 70.99333, "aux.loss_seg": 0.1438, "aux.acc_seg": 69.47211, "loss": 0.43315, "time": 0.73857} -{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.28505, "decode.acc_seg": 70.84478, "aux.loss_seg": 0.14216, "aux.acc_seg": 69.20127, "loss": 0.42721, "time": 0.74115} -{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 26851, "data_time": 0.00904, "decode.loss_seg": 0.28377, "decode.acc_seg": 70.56645, "aux.loss_seg": 0.14084, "aux.acc_seg": 68.87762, "loss": 0.42462, "time": 0.74519} -{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.29401, "decode.acc_seg": 72.34464, "aux.loss_seg": 0.14616, "aux.acc_seg": 70.65611, "loss": 0.44017, "time": 0.73128} -{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.2862, "decode.acc_seg": 71.62383, "aux.loss_seg": 0.1438, "aux.acc_seg": 69.93568, "loss": 0.43, "time": 0.73496} -{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 26851, "data_time": 0.00931, "decode.loss_seg": 0.29047, "decode.acc_seg": 71.07096, "aux.loss_seg": 0.144, "aux.acc_seg": 69.38417, "loss": 0.43447, "time": 0.73435} -{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.29801, "decode.acc_seg": 71.91444, "aux.loss_seg": 0.14828, "aux.acc_seg": 70.14557, "loss": 0.44629, "time": 0.72649} -{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.30215, "decode.acc_seg": 71.10731, "aux.loss_seg": 0.15215, "aux.acc_seg": 69.21696, "loss": 0.4543, "time": 0.72984} -{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.27715, "decode.acc_seg": 71.63319, "aux.loss_seg": 0.13795, "aux.acc_seg": 69.98565, "loss": 0.41511, "time": 0.73244} -{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.2826, "decode.acc_seg": 71.59093, "aux.loss_seg": 0.1398, "aux.acc_seg": 69.8675, "loss": 0.4224, "time": 0.73853} -{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.29097, "decode.acc_seg": 72.11869, "aux.loss_seg": 0.14268, "aux.acc_seg": 70.32999, "loss": 0.43365, "time": 0.73354} -{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.28536, "decode.acc_seg": 70.35951, "aux.loss_seg": 0.14253, "aux.acc_seg": 68.54105, "loss": 0.42789, "time": 0.73676} -{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.29162, "decode.acc_seg": 71.45356, "aux.loss_seg": 0.1421, "aux.acc_seg": 69.79495, "loss": 0.43371, "time": 0.73694} -{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.2886, "decode.acc_seg": 72.17686, "aux.loss_seg": 0.14472, "aux.acc_seg": 70.34857, "loss": 0.43331, "time": 0.73068} -{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.30535, "decode.acc_seg": 71.59807, "aux.loss_seg": 0.15173, "aux.acc_seg": 69.77131, "loss": 0.45708, "time": 0.72871} -{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.29245, "decode.acc_seg": 70.9378, "aux.loss_seg": 0.14302, "aux.acc_seg": 69.45404, "loss": 0.43546, "time": 0.73469} -{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.28966, "decode.acc_seg": 71.29973, "aux.loss_seg": 0.14449, "aux.acc_seg": 69.5437, "loss": 0.43415, "time": 0.73415} -{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.27023, "decode.acc_seg": 71.10523, "aux.loss_seg": 0.13432, "aux.acc_seg": 69.47295, "loss": 0.40454, "time": 0.7267} -{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.29152, "decode.acc_seg": 70.89994, "aux.loss_seg": 0.1444, "aux.acc_seg": 69.46348, "loss": 0.43593, "time": 0.72744} -{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.28642, "decode.acc_seg": 71.45772, "aux.loss_seg": 0.14544, "aux.acc_seg": 69.64835, "loss": 0.43186, "time": 0.7333} -{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 26851, "data_time": 0.2541, "decode.loss_seg": 0.29302, "decode.acc_seg": 72.25631, "aux.loss_seg": 0.14362, "aux.acc_seg": 70.7819, "loss": 0.43664, "time": 0.97773} -{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.27208, "decode.acc_seg": 73.46894, "aux.loss_seg": 0.1365, "aux.acc_seg": 71.7536, "loss": 0.40858, "time": 0.73567} -{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.27205, "decode.acc_seg": 70.91165, "aux.loss_seg": 0.13735, "aux.acc_seg": 69.12707, "loss": 0.4094, "time": 0.7375} -{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.28806, "decode.acc_seg": 70.51382, "aux.loss_seg": 0.14292, "aux.acc_seg": 68.83224, "loss": 0.43098, "time": 0.73973} -{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.30043, "decode.acc_seg": 71.29091, "aux.loss_seg": 0.14649, "aux.acc_seg": 69.6661, "loss": 0.44692, "time": 0.73211} -{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.27326, "decode.acc_seg": 72.04891, "aux.loss_seg": 0.14044, "aux.acc_seg": 70.0308, "loss": 0.4137, "time": 0.72904} -{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26737, "decode.acc_seg": 72.25197, "aux.loss_seg": 0.135, "aux.acc_seg": 70.57573, "loss": 0.40236, "time": 0.72321} -{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.26486, "decode.acc_seg": 72.12864, "aux.loss_seg": 0.13472, "aux.acc_seg": 70.24516, "loss": 0.39957, "time": 0.73202} -{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.2892, "decode.acc_seg": 70.65025, "aux.loss_seg": 0.14622, "aux.acc_seg": 68.89942, "loss": 0.43542, "time": 0.73232} -{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28957, "decode.acc_seg": 71.10879, "aux.loss_seg": 0.14654, "aux.acc_seg": 69.26481, "loss": 0.4361, "time": 0.73634} -{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.29443, "decode.acc_seg": 70.58508, "aux.loss_seg": 0.14815, "aux.acc_seg": 68.70679, "loss": 0.44258, "time": 0.73559} -{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.28525, "decode.acc_seg": 72.42803, "aux.loss_seg": 0.14246, "aux.acc_seg": 70.68423, "loss": 0.42771, "time": 0.7329} -{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.29371, "decode.acc_seg": 70.59379, "aux.loss_seg": 0.14685, "aux.acc_seg": 68.8902, "loss": 0.44056, "time": 0.73261} -{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28051, "decode.acc_seg": 72.44285, "aux.loss_seg": 0.14269, "aux.acc_seg": 70.43976, "loss": 0.4232, "time": 0.72678} -{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.27284, "decode.acc_seg": 72.63868, "aux.loss_seg": 0.13653, "aux.acc_seg": 71.00447, "loss": 0.40937, "time": 0.73038} -{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.28594, "decode.acc_seg": 71.31578, "aux.loss_seg": 0.14291, "aux.acc_seg": 69.52674, "loss": 0.42886, "time": 0.73321} -{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.27712, "decode.acc_seg": 72.27317, "aux.loss_seg": 0.14068, "aux.acc_seg": 70.49186, "loss": 0.41779, "time": 0.74034} -{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.2714, "decode.acc_seg": 71.96142, "aux.loss_seg": 0.13603, "aux.acc_seg": 70.35421, "loss": 0.40743, "time": 0.7361} -{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.27587, "decode.acc_seg": 70.82568, "aux.loss_seg": 0.13819, "aux.acc_seg": 69.22081, "loss": 0.41406, "time": 0.72738} -{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 26851, "data_time": 0.00888, "decode.loss_seg": 0.30102, "decode.acc_seg": 70.07486, "aux.loss_seg": 0.14997, "aux.acc_seg": 68.1128, "loss": 0.45099, "time": 0.73033} -{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.29155, "decode.acc_seg": 72.16287, "aux.loss_seg": 0.14551, "aux.acc_seg": 70.36141, "loss": 0.43707, "time": 0.72952} -{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.30228, "decode.acc_seg": 73.07101, "aux.loss_seg": 0.14804, "aux.acc_seg": 71.33, "loss": 0.45033, "time": 0.72891} -{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.28983, "decode.acc_seg": 70.3833, "aux.loss_seg": 0.14759, "aux.acc_seg": 68.43771, "loss": 0.43741, "time": 0.73826} -{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.28791, "decode.acc_seg": 71.08488, "aux.loss_seg": 0.14352, "aux.acc_seg": 69.28241, "loss": 0.43143, "time": 0.7335} -{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.29618, "decode.acc_seg": 71.57872, "aux.loss_seg": 0.14684, "aux.acc_seg": 69.82229, "loss": 0.44303, "time": 0.7336} -{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 26851, "data_time": 0.25279, "decode.loss_seg": 0.27194, "decode.acc_seg": 71.46453, "aux.loss_seg": 0.13669, "aux.acc_seg": 69.57239, "loss": 0.40862, "time": 0.97844} -{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.28864, "decode.acc_seg": 72.63608, "aux.loss_seg": 0.14668, "aux.acc_seg": 70.77157, "loss": 0.43532, "time": 0.73436} -{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.27542, "decode.acc_seg": 71.34863, "aux.loss_seg": 0.13552, "aux.acc_seg": 69.73172, "loss": 0.41094, "time": 0.73498} -{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.28411, "decode.acc_seg": 73.22829, "aux.loss_seg": 0.14481, "aux.acc_seg": 71.26906, "loss": 0.42892, "time": 0.73123} -{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.27389, "decode.acc_seg": 70.70106, "aux.loss_seg": 0.13854, "aux.acc_seg": 68.94485, "loss": 0.41243, "time": 0.73508} -{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.28275, "decode.acc_seg": 71.61839, "aux.loss_seg": 0.13886, "aux.acc_seg": 70.09448, "loss": 0.42161, "time": 0.73275} -{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.28165, "decode.acc_seg": 71.93168, "aux.loss_seg": 0.14115, "aux.acc_seg": 70.15341, "loss": 0.42281, "time": 0.73513} -{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.28699, "decode.acc_seg": 71.91508, "aux.loss_seg": 0.14577, "aux.acc_seg": 69.82408, "loss": 0.43277, "time": 0.73657} -{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.28785, "decode.acc_seg": 70.98664, "aux.loss_seg": 0.14408, "aux.acc_seg": 69.34195, "loss": 0.43193, "time": 0.73384} -{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.29249, "decode.acc_seg": 71.26005, "aux.loss_seg": 0.1462, "aux.acc_seg": 69.24758, "loss": 0.43868, "time": 0.73342} -{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.28429, "decode.acc_seg": 72.52507, "aux.loss_seg": 0.1411, "aux.acc_seg": 70.67743, "loss": 0.42538, "time": 0.7335} -{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.28999, "decode.acc_seg": 71.27441, "aux.loss_seg": 0.14529, "aux.acc_seg": 69.35892, "loss": 0.43528, "time": 0.734} -{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.28237, "decode.acc_seg": 71.16144, "aux.loss_seg": 0.13971, "aux.acc_seg": 69.57372, "loss": 0.42208, "time": 0.73776} -{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.26014, "decode.acc_seg": 72.2252, "aux.loss_seg": 0.13073, "aux.acc_seg": 70.62939, "loss": 0.39087, "time": 0.73761} -{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.2799, "decode.acc_seg": 70.70692, "aux.loss_seg": 0.14381, "aux.acc_seg": 68.7951, "loss": 0.42371, "time": 0.73436} -{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.28839, "decode.acc_seg": 72.39689, "aux.loss_seg": 0.14488, "aux.acc_seg": 70.54034, "loss": 0.43327, "time": 0.72691} -{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.27302, "decode.acc_seg": 72.51877, "aux.loss_seg": 0.14012, "aux.acc_seg": 70.63748, "loss": 0.41314, "time": 0.7316} -{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.28414, "decode.acc_seg": 69.66761, "aux.loss_seg": 0.14113, "aux.acc_seg": 67.93221, "loss": 0.42527, "time": 0.7316} -{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.27052, "decode.acc_seg": 72.2934, "aux.loss_seg": 0.1356, "aux.acc_seg": 70.69621, "loss": 0.40613, "time": 0.72659} -{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.27794, "decode.acc_seg": 71.93459, "aux.loss_seg": 0.13849, "aux.acc_seg": 70.46678, "loss": 0.41643, "time": 0.72914} -{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.29493, "decode.acc_seg": 72.21416, "aux.loss_seg": 0.14451, "aux.acc_seg": 70.47928, "loss": 0.43944, "time": 0.73386} -{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.27323, "decode.acc_seg": 71.10011, "aux.loss_seg": 0.13889, "aux.acc_seg": 69.24261, "loss": 0.41212, "time": 0.73727} -{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.27383, "decode.acc_seg": 70.75207, "aux.loss_seg": 0.13627, "aux.acc_seg": 69.05224, "loss": 0.41009, "time": 0.73404} -{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.27924, "decode.acc_seg": 71.92076, "aux.loss_seg": 0.14188, "aux.acc_seg": 70.00592, "loss": 0.42112, "time": 0.7316} -{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.27466, "decode.acc_seg": 71.22207, "aux.loss_seg": 0.14012, "aux.acc_seg": 69.3482, "loss": 0.41478, "time": 0.7289} -{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.29038, "decode.acc_seg": 71.96324, "aux.loss_seg": 0.14301, "aux.acc_seg": 70.29494, "loss": 0.43339, "time": 0.73446} -{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 26851, "data_time": 0.24476, "decode.loss_seg": 0.2777, "decode.acc_seg": 71.40436, "aux.loss_seg": 0.14024, "aux.acc_seg": 69.58108, "loss": 0.41794, "time": 0.96304} -{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.25497, "decode.acc_seg": 71.6037, "aux.loss_seg": 0.12976, "aux.acc_seg": 69.89768, "loss": 0.38473, "time": 0.72814} -{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.27932, "decode.acc_seg": 72.48543, "aux.loss_seg": 0.13937, "aux.acc_seg": 70.70331, "loss": 0.4187, "time": 0.73342} -{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.26883, "decode.acc_seg": 72.20429, "aux.loss_seg": 0.13575, "aux.acc_seg": 70.52072, "loss": 0.40457, "time": 0.72997} -{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.29248, "decode.acc_seg": 72.55778, "aux.loss_seg": 0.1469, "aux.acc_seg": 70.73665, "loss": 0.43937, "time": 0.73134} -{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.27037, "decode.acc_seg": 73.38934, "aux.loss_seg": 0.13807, "aux.acc_seg": 71.56665, "loss": 0.40844, "time": 0.72772} -{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.27876, "decode.acc_seg": 71.10549, "aux.loss_seg": 0.1429, "aux.acc_seg": 69.04994, "loss": 0.42166, "time": 0.73501} -{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.2919, "decode.acc_seg": 72.04965, "aux.loss_seg": 0.14456, "aux.acc_seg": 70.34618, "loss": 0.43647, "time": 0.73045} -{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.28959, "decode.acc_seg": 72.58535, "aux.loss_seg": 0.14576, "aux.acc_seg": 70.8542, "loss": 0.43535, "time": 0.72605} -{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.29444, "decode.acc_seg": 71.23017, "aux.loss_seg": 0.14758, "aux.acc_seg": 69.45097, "loss": 0.44202, "time": 0.733} -{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.28699, "decode.acc_seg": 72.39221, "aux.loss_seg": 0.14212, "aux.acc_seg": 70.61959, "loss": 0.42911, "time": 0.73156} -{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.27541, "decode.acc_seg": 72.19787, "aux.loss_seg": 0.13886, "aux.acc_seg": 70.34929, "loss": 0.41426, "time": 0.73009} -{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.28823, "decode.acc_seg": 71.84402, "aux.loss_seg": 0.14606, "aux.acc_seg": 70.01251, "loss": 0.43429, "time": 0.72972} -{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.27838, "decode.acc_seg": 72.29484, "aux.loss_seg": 0.1412, "aux.acc_seg": 70.43749, "loss": 0.41958, "time": 0.73533} -{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.26641, "decode.acc_seg": 71.09391, "aux.loss_seg": 0.13723, "aux.acc_seg": 68.97812, "loss": 0.40364, "time": 0.73111} -{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.27719, "decode.acc_seg": 72.02067, "aux.loss_seg": 0.14063, "aux.acc_seg": 70.28412, "loss": 0.41782, "time": 0.72696} -{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.466, "mAcc": 0.5916, "aAcc": 0.8165, "IoU.wall": 0.7549, "IoU.building": 0.8062, "IoU.sky": 0.9391, "IoU.floor": 0.8075, "IoU.tree": 0.7287, "IoU.ceiling": 0.8295, "IoU.road": 0.8254, "IoU.bed ": 0.8671, "IoU.windowpane": 0.5821, "IoU.grass": 0.6647, "IoU.cabinet": 0.5732, "IoU.sidewalk": 0.6265, "IoU.person": 0.768, "IoU.earth": 0.3588, "IoU.door": 0.4437, "IoU.table": 0.5512, "IoU.mountain": 0.4952, "IoU.plant": 0.5047, "IoU.curtain": 0.6877, "IoU.chair": 0.5389, "IoU.car": 0.8138, "IoU.water": 0.5625, "IoU.painting": 0.6628, "IoU.sofa": 0.6314, "IoU.shelf": 0.4408, "IoU.house": 0.3332, "IoU.sea": 0.5727, "IoU.mirror": 0.5452, "IoU.rug": 0.6555, "IoU.field": 0.2777, "IoU.armchair": 0.4178, "IoU.seat": 0.6737, "IoU.fence": 0.4562, "IoU.desk": 0.4612, "IoU.rock": 0.3915, "IoU.wardrobe": 0.452, "IoU.lamp": 0.5694, "IoU.bathtub": 0.73, "IoU.railing": 0.3539, "IoU.cushion": 0.5065, "IoU.base": 0.3181, "IoU.box": 0.2269, "IoU.column": 0.4013, "IoU.signboard": 0.3413, "IoU.chest of drawers": 0.3568, "IoU.counter": 0.3732, "IoU.sand": 0.4172, "IoU.sink": 0.6914, "IoU.skyscraper": 0.5575, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6587, "IoU.grandstand": 0.4378, "IoU.path": 0.1905, "IoU.stairs": 0.2262, "IoU.runway": 0.6969, "IoU.case": 0.4986, "IoU.pool table": 0.8953, "IoU.pillow": 0.5459, "IoU.screen door": 0.5104, "IoU.stairway": 0.2515, "IoU.river": 0.2047, "IoU.bridge": 0.683, "IoU.bookcase": 0.4198, "IoU.blind": NaN, "IoU.coffee table": 0.5299, "IoU.toilet": 0.8043, "IoU.flower": 0.4185, "IoU.book": 0.452, "IoU.hill": 0.0893, "IoU.bench": 0.5197, "IoU.countertop": 0.4979, "IoU.stove": 0.6663, "IoU.palm": 0.4873, "IoU.kitchen island": 0.3697, "IoU.computer": 0.5778, "IoU.swivel chair": 0.4292, "IoU.boat": 0.4111, "IoU.bar": 0.3478, "IoU.arcade machine": 0.5989, "IoU.hovel": 0.3405, "IoU.bus": 0.8324, "IoU.towel": 0.5882, "IoU.light": 0.5171, "IoU.truck": 0.1881, "IoU.tower": 0.3064, "IoU.chandelier": 0.6485, "IoU.awning": 0.2163, "IoU.streetlight": 0.1816, "IoU.booth": 0.5994, "IoU.television receiver": NaN, "IoU.airplane": 0.5628, "IoU.dirt track": 0.0031, "IoU.apparel": 0.2562, "IoU.pole": 0.1354, "IoU.land": 0.0396, "IoU.bannister": 0.0917, "IoU.escalator": 0.499, "IoU.ottoman": 0.3881, "IoU.bottle": NaN, "IoU.buffet": 0.4523, "IoU.poster": 0.2039, "IoU.stage": 0.2004, "IoU.van": 0.4138, "IoU.ship": 0.5273, "IoU.fountain": 0.338, "IoU.conveyer belt": 0.7366, "IoU.canopy": 0.2004, "IoU.washer": 0.6897, "IoU.plaything": 0.2133, "IoU.swimming pool": 0.6359, "IoU.stool": 0.3393, "IoU.barrel": 0.369, "IoU.basket": 0.3022, "IoU.waterfall": 0.4643, "IoU.tent": 0.9186, "IoU.bag": 0.124, "IoU.minibike": 0.709, "IoU.cradle": NaN, "IoU.oven": 0.2256, "IoU.ball": 0.466, "IoU.food": 0.5361, "IoU.step": 0.0798, "IoU.tank": 0.5397, "IoU.trade name": 0.1225, "IoU.microwave": 0.7499, "IoU.pot": 0.5333, "IoU.animal": NaN, "IoU.bicycle": 0.5107, "IoU.lake": 0.5391, "IoU.dishwasher": 0.496, "IoU.screen": 0.6909, "IoU.blanket": 0.1176, "IoU.sculpture": 0.5334, "IoU.hood": 0.5672, "IoU.sconce": 0.4094, "IoU.vase": 0.3402, "IoU.traffic light": 0.2444, "IoU.tray": 0.0479, "IoU.ashcan": 0.2852, "IoU.fan": 0.5607, "IoU.pier": 0.558, "IoU.crt screen": 0.0538, "IoU.plate": 0.5485, "IoU.monitor": 0.1258, "IoU.bulletin board": 0.3993, "IoU.shower": 0.0032, "IoU.radiator": 0.5835, "IoU.glass": 0.1274, "IoU.clock": 0.3438, "IoU.flag": 0.5705, "Acc.wall": 0.8691, "Acc.building": 0.9234, "Acc.sky": 0.9695, "Acc.floor": 0.8926, "Acc.tree": 0.854, "Acc.ceiling": 0.9127, "Acc.road": 0.9132, "Acc.bed ": 0.9464, "Acc.windowpane": 0.717, "Acc.grass": 0.8445, "Acc.cabinet": 0.7067, "Acc.sidewalk": 0.7758, "Acc.person": 0.8902, "Acc.earth": 0.4729, "Acc.door": 0.6231, "Acc.table": 0.7195, "Acc.mountain": 0.6023, "Acc.plant": 0.6544, "Acc.curtain": 0.8306, "Acc.chair": 0.6949, "Acc.car": 0.8969, "Acc.water": 0.7473, "Acc.painting": 0.8644, "Acc.sofa": 0.8081, "Acc.shelf": 0.6556, "Acc.house": 0.3945, "Acc.sea": 0.7472, "Acc.mirror": 0.7141, "Acc.rug": 0.8192, "Acc.field": 0.4811, "Acc.armchair": 0.5868, "Acc.seat": 0.8314, "Acc.fence": 0.6689, "Acc.desk": 0.6315, "Acc.rock": 0.5296, "Acc.wardrobe": 0.5894, "Acc.lamp": 0.6934, "Acc.bathtub": 0.805, "Acc.railing": 0.4637, "Acc.cushion": 0.6333, "Acc.base": 0.4539, "Acc.box": 0.2977, "Acc.column": 0.5146, "Acc.signboard": 0.4923, "Acc.chest of drawers": 0.5909, "Acc.counter": 0.4587, "Acc.sand": 0.7551, "Acc.sink": 0.7925, "Acc.skyscraper": 0.6974, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7295, "Acc.grandstand": 0.6768, "Acc.path": 0.2434, "Acc.stairs": 0.2595, "Acc.runway": 0.9137, "Acc.case": 0.6451, "Acc.pool table": 0.9654, "Acc.pillow": 0.708, "Acc.screen door": 0.6125, "Acc.stairway": 0.349, "Acc.river": 0.3582, "Acc.bridge": 0.8146, "Acc.bookcase": 0.5274, "Acc.blind": NaN, "Acc.coffee table": 0.7801, "Acc.toilet": 0.8888, "Acc.flower": 0.5869, "Acc.book": 0.5882, "Acc.hill": 0.1537, "Acc.bench": 0.6675, "Acc.countertop": 0.6555, "Acc.stove": 0.7964, "Acc.palm": 0.7326, "Acc.kitchen island": 0.6338, "Acc.computer": 0.7151, "Acc.swivel chair": 0.5899, "Acc.boat": 0.4805, "Acc.bar": 0.4675, "Acc.arcade machine": 0.6717, "Acc.hovel": 0.4298, "Acc.bus": 0.9495, "Acc.towel": 0.7867, "Acc.light": 0.5812, "Acc.truck": 0.2691, "Acc.tower": 0.519, "Acc.chandelier": 0.8271, "Acc.awning": 0.2369, "Acc.streetlight": 0.2325, "Acc.booth": 0.7106, "Acc.television receiver": NaN, "Acc.airplane": 0.6433, "Acc.dirt track": 0.0106, "Acc.apparel": 0.4636, "Acc.pole": 0.167, "Acc.land": 0.0515, "Acc.bannister": 0.1148, "Acc.escalator": 0.6477, "Acc.ottoman": 0.5226, "Acc.bottle": NaN, "Acc.buffet": 0.6059, "Acc.poster": 0.2739, "Acc.stage": 0.2903, "Acc.van": 0.5532, "Acc.ship": 0.8681, "Acc.fountain": 0.3483, "Acc.conveyer belt": 0.8608, "Acc.canopy": 0.2861, "Acc.washer": 0.7452, "Acc.plaything": 0.3439, "Acc.swimming pool": 0.752, "Acc.stool": 0.448, "Acc.barrel": 0.6494, "Acc.basket": 0.4143, "Acc.waterfall": 0.5039, "Acc.tent": 0.9731, "Acc.bag": 0.154, "Acc.minibike": 0.8866, "Acc.cradle": NaN, "Acc.oven": 0.3343, "Acc.ball": 0.6517, "Acc.food": 0.6707, "Acc.step": 0.0982, "Acc.tank": 0.6484, "Acc.trade name": 0.1303, "Acc.microwave": 0.8634, "Acc.pot": 0.5957, "Acc.animal": NaN, "Acc.bicycle": 0.7708, "Acc.lake": 0.5428, "Acc.dishwasher": 0.6574, "Acc.screen": 0.8947, "Acc.blanket": 0.1402, "Acc.sculpture": 0.7829, "Acc.hood": 0.7259, "Acc.sconce": 0.5283, "Acc.vase": 0.5012, "Acc.traffic light": 0.4087, "Acc.tray": 0.0976, "Acc.ashcan": 0.4992, "Acc.fan": 0.6863, "Acc.pier": 0.7739, "Acc.crt screen": 0.1371, "Acc.plate": 0.7155, "Acc.monitor": 0.1701, "Acc.bulletin board": 0.5125, "Acc.shower": 0.0154, "Acc.radiator": 0.6996, "Acc.glass": 0.1387, "Acc.clock": 0.4041, "Acc.flag": 0.6318} -{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 26851, "data_time": 1.83771, "decode.loss_seg": 0.27829, "decode.acc_seg": 70.73652, "aux.loss_seg": 0.13913, "aux.acc_seg": 68.85566, "loss": 0.41742, "time": 2.55629} -{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.26973, "decode.acc_seg": 72.17958, "aux.loss_seg": 0.13792, "aux.acc_seg": 70.29751, "loss": 0.40765, "time": 0.72645} -{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.27462, "decode.acc_seg": 71.91076, "aux.loss_seg": 0.13681, "aux.acc_seg": 70.2585, "loss": 0.41143, "time": 0.73259} -{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 26851, "data_time": 0.00728, "decode.loss_seg": 0.27899, "decode.acc_seg": 72.0856, "aux.loss_seg": 0.14061, "aux.acc_seg": 70.369, "loss": 0.41959, "time": 0.73438} -{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.26265, "decode.acc_seg": 72.74607, "aux.loss_seg": 0.1339, "aux.acc_seg": 71.04458, "loss": 0.39655, "time": 0.72821} -{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.27609, "decode.acc_seg": 72.51016, "aux.loss_seg": 0.13551, "aux.acc_seg": 70.90114, "loss": 0.41161, "time": 0.73106} -{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.27742, "decode.acc_seg": 71.90814, "aux.loss_seg": 0.14094, "aux.acc_seg": 69.81636, "loss": 0.41837, "time": 0.73298} -{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.27886, "decode.acc_seg": 71.17342, "aux.loss_seg": 0.13992, "aux.acc_seg": 69.43233, "loss": 0.41878, "time": 0.73307} -{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 26851, "data_time": 0.24647, "decode.loss_seg": 0.26622, "decode.acc_seg": 71.54125, "aux.loss_seg": 0.13679, "aux.acc_seg": 69.82181, "loss": 0.40301, "time": 0.97163} -{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.27285, "decode.acc_seg": 72.30525, "aux.loss_seg": 0.1387, "aux.acc_seg": 70.45006, "loss": 0.41154, "time": 0.7225} -{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.26227, "decode.acc_seg": 72.30423, "aux.loss_seg": 0.13374, "aux.acc_seg": 70.40746, "loss": 0.39601, "time": 0.72305} -{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.256, "decode.acc_seg": 71.33724, "aux.loss_seg": 0.13288, "aux.acc_seg": 69.46218, "loss": 0.38887, "time": 0.72604} -{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.25546, "decode.acc_seg": 71.87238, "aux.loss_seg": 0.12723, "aux.acc_seg": 70.22898, "loss": 0.38269, "time": 0.73147} -{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.28398, "decode.acc_seg": 72.0034, "aux.loss_seg": 0.14171, "aux.acc_seg": 70.29728, "loss": 0.42569, "time": 0.73212} -{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26858, "decode.acc_seg": 72.9198, "aux.loss_seg": 0.13752, "aux.acc_seg": 71.05358, "loss": 0.4061, "time": 0.73403} -{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.27799, "decode.acc_seg": 72.48771, "aux.loss_seg": 0.14169, "aux.acc_seg": 70.5658, "loss": 0.41968, "time": 0.72638} -{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.28215, "decode.acc_seg": 72.23496, "aux.loss_seg": 0.14033, "aux.acc_seg": 70.53215, "loss": 0.42248, "time": 0.72915} -{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.277, "decode.acc_seg": 71.45426, "aux.loss_seg": 0.13754, "aux.acc_seg": 69.75421, "loss": 0.41454, "time": 0.72111} -{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.28184, "decode.acc_seg": 71.31257, "aux.loss_seg": 0.14053, "aux.acc_seg": 69.70556, "loss": 0.42237, "time": 0.7268} -{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.27638, "decode.acc_seg": 73.84363, "aux.loss_seg": 0.13796, "aux.acc_seg": 72.2078, "loss": 0.41433, "time": 0.7292} -{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26734, "decode.acc_seg": 72.55756, "aux.loss_seg": 0.13757, "aux.acc_seg": 70.64366, "loss": 0.40491, "time": 0.7377} -{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.27973, "decode.acc_seg": 71.03925, "aux.loss_seg": 0.14159, "aux.acc_seg": 69.11956, "loss": 0.42131, "time": 0.73282} -{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.26243, "decode.acc_seg": 71.42463, "aux.loss_seg": 0.13243, "aux.acc_seg": 69.7159, "loss": 0.39486, "time": 0.72398} -{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.25702, "decode.acc_seg": 71.53736, "aux.loss_seg": 0.13109, "aux.acc_seg": 69.72234, "loss": 0.38811, "time": 0.72996} -{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.26718, "decode.acc_seg": 72.81137, "aux.loss_seg": 0.13643, "aux.acc_seg": 70.96588, "loss": 0.40361, "time": 0.73387} -{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.27318, "decode.acc_seg": 71.76878, "aux.loss_seg": 0.13829, "aux.acc_seg": 69.8243, "loss": 0.41147, "time": 0.73675} -{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 26851, "data_time": 0.00909, "decode.loss_seg": 0.26902, "decode.acc_seg": 71.60151, "aux.loss_seg": 0.13611, "aux.acc_seg": 69.93841, "loss": 0.40513, "time": 0.7344} -{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.2755, "decode.acc_seg": 71.61609, "aux.loss_seg": 0.13981, "aux.acc_seg": 69.85884, "loss": 0.41531, "time": 0.73351} -{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.28129, "decode.acc_seg": 72.50199, "aux.loss_seg": 0.14259, "aux.acc_seg": 70.55418, "loss": 0.42388, "time": 0.72793} -{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.2822, "decode.acc_seg": 70.93544, "aux.loss_seg": 0.14104, "aux.acc_seg": 69.11639, "loss": 0.42324, "time": 0.72734} -{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.27591, "decode.acc_seg": 72.5438, "aux.loss_seg": 0.13778, "aux.acc_seg": 70.76853, "loss": 0.41369, "time": 0.7295} -{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.27899, "decode.acc_seg": 72.5343, "aux.loss_seg": 0.14091, "aux.acc_seg": 70.72715, "loss": 0.4199, "time": 0.73048} -{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.27425, "decode.acc_seg": 72.37505, "aux.loss_seg": 0.13774, "aux.acc_seg": 70.50791, "loss": 0.41198, "time": 0.73121} -{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 26851, "data_time": 0.24688, "decode.loss_seg": 0.26685, "decode.acc_seg": 71.38954, "aux.loss_seg": 0.13418, "aux.acc_seg": 69.55665, "loss": 0.40102, "time": 0.97496} -{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.27545, "decode.acc_seg": 72.38035, "aux.loss_seg": 0.14129, "aux.acc_seg": 70.53618, "loss": 0.41674, "time": 0.73248} -{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 26851, "data_time": 0.0073, "decode.loss_seg": 0.28035, "decode.acc_seg": 71.89666, "aux.loss_seg": 0.14199, "aux.acc_seg": 70.14641, "loss": 0.42234, "time": 0.73172} -{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.26771, "decode.acc_seg": 70.0161, "aux.loss_seg": 0.13466, "aux.acc_seg": 68.15054, "loss": 0.40237, "time": 0.73907} -{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.27246, "decode.acc_seg": 72.40773, "aux.loss_seg": 0.13532, "aux.acc_seg": 70.9039, "loss": 0.40778, "time": 0.73588} -{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.27519, "decode.acc_seg": 73.23138, "aux.loss_seg": 0.13796, "aux.acc_seg": 71.48493, "loss": 0.41315, "time": 0.7299} -{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.27003, "decode.acc_seg": 71.32475, "aux.loss_seg": 0.13277, "aux.acc_seg": 69.78393, "loss": 0.4028, "time": 0.72643} -{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.28115, "decode.acc_seg": 71.09915, "aux.loss_seg": 0.13906, "aux.acc_seg": 69.33733, "loss": 0.42021, "time": 0.73686} -{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.28525, "decode.acc_seg": 71.77861, "aux.loss_seg": 0.14402, "aux.acc_seg": 69.76355, "loss": 0.42926, "time": 0.72689} -{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.27142, "decode.acc_seg": 72.18034, "aux.loss_seg": 0.13603, "aux.acc_seg": 70.46113, "loss": 0.40746, "time": 0.73023} -{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.2713, "decode.acc_seg": 71.97525, "aux.loss_seg": 0.13533, "aux.acc_seg": 70.22369, "loss": 0.40663, "time": 0.72832} -{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.26769, "decode.acc_seg": 71.82894, "aux.loss_seg": 0.13631, "aux.acc_seg": 69.88394, "loss": 0.404, "time": 0.72965} -{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.27256, "decode.acc_seg": 72.94999, "aux.loss_seg": 0.13663, "aux.acc_seg": 71.2087, "loss": 0.40918, "time": 0.73291} -{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.26907, "decode.acc_seg": 73.4639, "aux.loss_seg": 0.13716, "aux.acc_seg": 71.49056, "loss": 0.40623, "time": 0.73016} -{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.28337, "decode.acc_seg": 71.94366, "aux.loss_seg": 0.14046, "aux.acc_seg": 70.30727, "loss": 0.42383, "time": 0.72408} -{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.27295, "decode.acc_seg": 73.09023, "aux.loss_seg": 0.1404, "aux.acc_seg": 71.04165, "loss": 0.41335, "time": 0.73114} -{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.27645, "decode.acc_seg": 70.82143, "aux.loss_seg": 0.13834, "aux.acc_seg": 69.08118, "loss": 0.41479, "time": 0.73514} -{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.28542, "decode.acc_seg": 72.25817, "aux.loss_seg": 0.14345, "aux.acc_seg": 70.46511, "loss": 0.42888, "time": 0.73236} -{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.27933, "decode.acc_seg": 71.61426, "aux.loss_seg": 0.14032, "aux.acc_seg": 70.02649, "loss": 0.41966, "time": 0.74053} -{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.25922, "decode.acc_seg": 72.02768, "aux.loss_seg": 0.13191, "aux.acc_seg": 70.30155, "loss": 0.39113, "time": 0.72772} -{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.28224, "decode.acc_seg": 70.85596, "aux.loss_seg": 0.14234, "aux.acc_seg": 68.9622, "loss": 0.42458, "time": 0.73049} -{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.27938, "decode.acc_seg": 71.37725, "aux.loss_seg": 0.13858, "aux.acc_seg": 69.70925, "loss": 0.41797, "time": 0.72893} -{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.26791, "decode.acc_seg": 71.30481, "aux.loss_seg": 0.13774, "aux.acc_seg": 69.3491, "loss": 0.40565, "time": 0.73428} -{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.25248, "decode.acc_seg": 73.036, "aux.loss_seg": 0.13017, "aux.acc_seg": 71.20612, "loss": 0.38265, "time": 0.74261} -{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.29451, "decode.acc_seg": 71.58319, "aux.loss_seg": 0.1466, "aux.acc_seg": 69.84452, "loss": 0.44111, "time": 0.73476} -{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 26851, "data_time": 0.2479, "decode.loss_seg": 0.27372, "decode.acc_seg": 71.46691, "aux.loss_seg": 0.13995, "aux.acc_seg": 69.72828, "loss": 0.41367, "time": 0.97236} -{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.25842, "decode.acc_seg": 72.72085, "aux.loss_seg": 0.13006, "aux.acc_seg": 71.03145, "loss": 0.38849, "time": 0.73031} -{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.28008, "decode.acc_seg": 71.12166, "aux.loss_seg": 0.14059, "aux.acc_seg": 69.3447, "loss": 0.42067, "time": 0.72462} -{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.25392, "decode.acc_seg": 72.05806, "aux.loss_seg": 0.13151, "aux.acc_seg": 70.14926, "loss": 0.38544, "time": 0.72878} -{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.26681, "decode.acc_seg": 71.91798, "aux.loss_seg": 0.13399, "aux.acc_seg": 70.21631, "loss": 0.40081, "time": 0.73413} -{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.25828, "decode.acc_seg": 70.7779, "aux.loss_seg": 0.13313, "aux.acc_seg": 69.01218, "loss": 0.39141, "time": 0.73194} -{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.26807, "decode.acc_seg": 71.43843, "aux.loss_seg": 0.13728, "aux.acc_seg": 69.49541, "loss": 0.40536, "time": 0.73259} -{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.26662, "decode.acc_seg": 72.30899, "aux.loss_seg": 0.13503, "aux.acc_seg": 70.42863, "loss": 0.40165, "time": 0.73561} -{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.27564, "decode.acc_seg": 72.93692, "aux.loss_seg": 0.1374, "aux.acc_seg": 71.30966, "loss": 0.41304, "time": 0.73297} -{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.26663, "decode.acc_seg": 72.12735, "aux.loss_seg": 0.13301, "aux.acc_seg": 70.50993, "loss": 0.39964, "time": 0.73565} -{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.26423, "decode.acc_seg": 73.26212, "aux.loss_seg": 0.13214, "aux.acc_seg": 71.56022, "loss": 0.39637, "time": 0.73713} -{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.26148, "decode.acc_seg": 72.40648, "aux.loss_seg": 0.13266, "aux.acc_seg": 70.67778, "loss": 0.39414, "time": 0.72752} -{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.27757, "decode.acc_seg": 72.27197, "aux.loss_seg": 0.1397, "aux.acc_seg": 70.35561, "loss": 0.41727, "time": 0.73498} -{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.26433, "decode.acc_seg": 72.95936, "aux.loss_seg": 0.13497, "aux.acc_seg": 71.21178, "loss": 0.3993, "time": 0.72753} -{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.27381, "decode.acc_seg": 71.99177, "aux.loss_seg": 0.13697, "aux.acc_seg": 70.45557, "loss": 0.41078, "time": 0.73391} -{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.27787, "decode.acc_seg": 71.40874, "aux.loss_seg": 0.14153, "aux.acc_seg": 69.46991, "loss": 0.4194, "time": 0.73317} -{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.27323, "decode.acc_seg": 73.69657, "aux.loss_seg": 0.13909, "aux.acc_seg": 71.94081, "loss": 0.41232, "time": 0.73327} -{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.25964, "decode.acc_seg": 71.78615, "aux.loss_seg": 0.13175, "aux.acc_seg": 70.09408, "loss": 0.39139, "time": 0.73319} -{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.27486, "decode.acc_seg": 72.64889, "aux.loss_seg": 0.13588, "aux.acc_seg": 71.01562, "loss": 0.41074, "time": 0.72353} -{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.26167, "decode.acc_seg": 72.17116, "aux.loss_seg": 0.13292, "aux.acc_seg": 70.34723, "loss": 0.39459, "time": 0.72923} -{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.26359, "decode.acc_seg": 72.92641, "aux.loss_seg": 0.13274, "aux.acc_seg": 71.20693, "loss": 0.39632, "time": 0.72839} -{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.2597, "decode.acc_seg": 71.91283, "aux.loss_seg": 0.13239, "aux.acc_seg": 70.19463, "loss": 0.39209, "time": 0.73341} -{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.27635, "decode.acc_seg": 72.71727, "aux.loss_seg": 0.13894, "aux.acc_seg": 70.91379, "loss": 0.41529, "time": 0.73418} -{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.26743, "decode.acc_seg": 72.42726, "aux.loss_seg": 0.13992, "aux.acc_seg": 70.53176, "loss": 0.40734, "time": 0.73847} -{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.2795, "decode.acc_seg": 71.66701, "aux.loss_seg": 0.13879, "aux.acc_seg": 70.08176, "loss": 0.41829, "time": 0.73959} -{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.25877, "decode.acc_seg": 71.17861, "aux.loss_seg": 0.13379, "aux.acc_seg": 69.26195, "loss": 0.39256, "time": 0.73296} -{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 26851, "data_time": 0.24543, "decode.loss_seg": 0.25283, "decode.acc_seg": 72.66094, "aux.loss_seg": 0.12968, "aux.acc_seg": 71.02621, "loss": 0.38251, "time": 0.95868} -{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.25867, "decode.acc_seg": 72.05311, "aux.loss_seg": 0.13352, "aux.acc_seg": 70.12704, "loss": 0.39219, "time": 0.72399} -{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.25557, "decode.acc_seg": 71.27422, "aux.loss_seg": 0.12904, "aux.acc_seg": 69.61451, "loss": 0.3846, "time": 0.73109} -{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.26269, "decode.acc_seg": 72.68049, "aux.loss_seg": 0.13246, "aux.acc_seg": 70.87305, "loss": 0.39516, "time": 0.72877} -{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.27823, "decode.acc_seg": 71.0807, "aux.loss_seg": 0.13864, "aux.acc_seg": 69.36706, "loss": 0.41687, "time": 0.73594} -{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26741, "decode.acc_seg": 73.01726, "aux.loss_seg": 0.1361, "aux.acc_seg": 71.19906, "loss": 0.40352, "time": 0.73363} -{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.26516, "decode.acc_seg": 73.75287, "aux.loss_seg": 0.13508, "aux.acc_seg": 71.7715, "loss": 0.40025, "time": 0.7316} -{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.25999, "decode.acc_seg": 72.75921, "aux.loss_seg": 0.13244, "aux.acc_seg": 70.95694, "loss": 0.39244, "time": 0.72948} -{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.26499, "decode.acc_seg": 72.21027, "aux.loss_seg": 0.13282, "aux.acc_seg": 70.4082, "loss": 0.39781, "time": 0.72854} -{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.27882, "decode.acc_seg": 70.91473, "aux.loss_seg": 0.14035, "aux.acc_seg": 69.16419, "loss": 0.41917, "time": 0.72618} -{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.2973, "decode.acc_seg": 71.18192, "aux.loss_seg": 0.14676, "aux.acc_seg": 69.33816, "loss": 0.44407, "time": 0.73013} -{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.27515, "decode.acc_seg": 72.0545, "aux.loss_seg": 0.13723, "aux.acc_seg": 70.32537, "loss": 0.41237, "time": 0.73203} -{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.2718, "decode.acc_seg": 71.78871, "aux.loss_seg": 0.13623, "aux.acc_seg": 70.21596, "loss": 0.40803, "time": 0.74002} -{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.27214, "decode.acc_seg": 72.9484, "aux.loss_seg": 0.13783, "aux.acc_seg": 71.14773, "loss": 0.40997, "time": 0.73439} -{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.2736, "decode.acc_seg": 72.17311, "aux.loss_seg": 0.13782, "aux.acc_seg": 70.34082, "loss": 0.41142, "time": 0.73168} -{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.2641, "decode.acc_seg": 72.11039, "aux.loss_seg": 0.13403, "aux.acc_seg": 70.31363, "loss": 0.39812, "time": 0.72747} -{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.25082, "decode.acc_seg": 71.26952, "aux.loss_seg": 0.1282, "aux.acc_seg": 69.50156, "loss": 0.37902, "time": 0.72664} -{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.25747, "decode.acc_seg": 72.79357, "aux.loss_seg": 0.13203, "aux.acc_seg": 70.95153, "loss": 0.3895, "time": 0.72865} -{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.27051, "decode.acc_seg": 71.43084, "aux.loss_seg": 0.13605, "aux.acc_seg": 69.58095, "loss": 0.40656, "time": 0.73392} -{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.28895, "decode.acc_seg": 72.03841, "aux.loss_seg": 0.14359, "aux.acc_seg": 70.27105, "loss": 0.43254, "time": 0.73336} -{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.25357, "decode.acc_seg": 70.37272, "aux.loss_seg": 0.12864, "aux.acc_seg": 68.6396, "loss": 0.38221, "time": 0.73303} -{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.27871, "decode.acc_seg": 72.68063, "aux.loss_seg": 0.14, "aux.acc_seg": 70.74842, "loss": 0.41871, "time": 0.73722} -{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.26813, "decode.acc_seg": 72.68992, "aux.loss_seg": 0.13537, "aux.acc_seg": 70.88091, "loss": 0.40349, "time": 0.73262} -{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.28032, "decode.acc_seg": 70.65425, "aux.loss_seg": 0.14009, "aux.acc_seg": 68.89, "loss": 0.42041, "time": 0.72932} -{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.27204, "decode.acc_seg": 72.31415, "aux.loss_seg": 0.138, "aux.acc_seg": 70.47684, "loss": 0.41004, "time": 0.72432} -{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 26851, "data_time": 0.24224, "decode.loss_seg": 0.25236, "decode.acc_seg": 72.18616, "aux.loss_seg": 0.1268, "aux.acc_seg": 70.58457, "loss": 0.37916, "time": 0.9649} -{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.26081, "decode.acc_seg": 73.21188, "aux.loss_seg": 0.13311, "aux.acc_seg": 71.41735, "loss": 0.39393, "time": 0.7324} -{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.24885, "decode.acc_seg": 73.55946, "aux.loss_seg": 0.12738, "aux.acc_seg": 71.76309, "loss": 0.37623, "time": 0.73893} -{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.26062, "decode.acc_seg": 73.03004, "aux.loss_seg": 0.13425, "aux.acc_seg": 71.13305, "loss": 0.39487, "time": 0.7307} -{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.26483, "decode.acc_seg": 71.97444, "aux.loss_seg": 0.13558, "aux.acc_seg": 70.24114, "loss": 0.40041, "time": 0.73199} -{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.26942, "decode.acc_seg": 71.08293, "aux.loss_seg": 0.13789, "aux.acc_seg": 69.05394, "loss": 0.40731, "time": 0.74257} -{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.26823, "decode.acc_seg": 71.49555, "aux.loss_seg": 0.13638, "aux.acc_seg": 69.63242, "loss": 0.40461, "time": 0.73358} -{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.2724, "decode.acc_seg": 72.15868, "aux.loss_seg": 0.13703, "aux.acc_seg": 70.48481, "loss": 0.40943, "time": 0.72978} -{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.28141, "decode.acc_seg": 71.7242, "aux.loss_seg": 0.13885, "aux.acc_seg": 69.94996, "loss": 0.42026, "time": 0.73596} -{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.26007, "decode.acc_seg": 72.65036, "aux.loss_seg": 0.13207, "aux.acc_seg": 70.76855, "loss": 0.39214, "time": 0.73782} -{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.27296, "decode.acc_seg": 72.6227, "aux.loss_seg": 0.14008, "aux.acc_seg": 70.63619, "loss": 0.41305, "time": 0.73412} -{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.27198, "decode.acc_seg": 71.71873, "aux.loss_seg": 0.13716, "aux.acc_seg": 69.96927, "loss": 0.40914, "time": 0.7327} -{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.25381, "decode.acc_seg": 72.08504, "aux.loss_seg": 0.13067, "aux.acc_seg": 70.15813, "loss": 0.38447, "time": 0.73478} -{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.2509, "decode.acc_seg": 72.76861, "aux.loss_seg": 0.12705, "aux.acc_seg": 71.03391, "loss": 0.37796, "time": 0.73448} -{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.25532, "decode.acc_seg": 71.47849, "aux.loss_seg": 0.13101, "aux.acc_seg": 69.67283, "loss": 0.38633, "time": 0.74085} -{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.27068, "decode.acc_seg": 73.20883, "aux.loss_seg": 0.13811, "aux.acc_seg": 71.35962, "loss": 0.40879, "time": 0.73427} -{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.26121, "decode.acc_seg": 73.72523, "aux.loss_seg": 0.13476, "aux.acc_seg": 71.82502, "loss": 0.39596, "time": 0.72826} -{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.26529, "decode.acc_seg": 72.76188, "aux.loss_seg": 0.13447, "aux.acc_seg": 70.88183, "loss": 0.39975, "time": 0.72331} -{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.28444, "decode.acc_seg": 70.70796, "aux.loss_seg": 0.14146, "aux.acc_seg": 69.0689, "loss": 0.4259, "time": 0.72965} -{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.24869, "decode.acc_seg": 72.43069, "aux.loss_seg": 0.12582, "aux.acc_seg": 70.70053, "loss": 0.37451, "time": 0.72753} -{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.26579, "decode.acc_seg": 72.69527, "aux.loss_seg": 0.1346, "aux.acc_seg": 70.88666, "loss": 0.40039, "time": 0.73793} -{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.25892, "decode.acc_seg": 70.91293, "aux.loss_seg": 0.12861, "aux.acc_seg": 69.35266, "loss": 0.38753, "time": 0.73598} -{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.27865, "decode.acc_seg": 71.99097, "aux.loss_seg": 0.13995, "aux.acc_seg": 70.28546, "loss": 0.4186, "time": 0.73104} -{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.26738, "decode.acc_seg": 72.65178, "aux.loss_seg": 0.1347, "aux.acc_seg": 70.99848, "loss": 0.40208, "time": 0.72357} -{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.27452, "decode.acc_seg": 72.32786, "aux.loss_seg": 0.13847, "aux.acc_seg": 70.62467, "loss": 0.41299, "time": 0.72634} -{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 26851, "data_time": 0.24448, "decode.loss_seg": 0.27312, "decode.acc_seg": 71.21878, "aux.loss_seg": 0.14163, "aux.acc_seg": 69.11115, "loss": 0.41476, "time": 0.96652} -{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.24954, "decode.acc_seg": 74.17008, "aux.loss_seg": 0.12804, "aux.acc_seg": 72.26154, "loss": 0.37758, "time": 0.72897} -{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25738, "decode.acc_seg": 70.5444, "aux.loss_seg": 0.13114, "aux.acc_seg": 68.8338, "loss": 0.38851, "time": 0.73139} -{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.25248, "decode.acc_seg": 73.39804, "aux.loss_seg": 0.12985, "aux.acc_seg": 71.42493, "loss": 0.38233, "time": 0.73881} -{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.26865, "decode.acc_seg": 70.43969, "aux.loss_seg": 0.1367, "aux.acc_seg": 68.49688, "loss": 0.40535, "time": 0.73259} -{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.27123, "decode.acc_seg": 72.61655, "aux.loss_seg": 0.13761, "aux.acc_seg": 70.78946, "loss": 0.40884, "time": 0.72856} -{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.25774, "decode.acc_seg": 71.97376, "aux.loss_seg": 0.13179, "aux.acc_seg": 70.11516, "loss": 0.38953, "time": 0.72956} -{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.26033, "decode.acc_seg": 71.20474, "aux.loss_seg": 0.13245, "aux.acc_seg": 69.4672, "loss": 0.39278, "time": 0.73239} -{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.26271, "decode.acc_seg": 72.04145, "aux.loss_seg": 0.13247, "aux.acc_seg": 70.3403, "loss": 0.39518, "time": 0.72875} -{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.26124, "decode.acc_seg": 72.97134, "aux.loss_seg": 0.1337, "aux.acc_seg": 71.02317, "loss": 0.39494, "time": 0.7364} -{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.24724, "decode.acc_seg": 72.61965, "aux.loss_seg": 0.12525, "aux.acc_seg": 70.83893, "loss": 0.37248, "time": 0.73139} -{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.25054, "decode.acc_seg": 72.04933, "aux.loss_seg": 0.12638, "aux.acc_seg": 70.40332, "loss": 0.37692, "time": 0.73511} -{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.28303, "decode.acc_seg": 72.13564, "aux.loss_seg": 0.14613, "aux.acc_seg": 70.03036, "loss": 0.42916, "time": 0.7273} -{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.25998, "decode.acc_seg": 72.54964, "aux.loss_seg": 0.13146, "aux.acc_seg": 70.85886, "loss": 0.39144, "time": 0.73163} -{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.25126, "decode.acc_seg": 72.28755, "aux.loss_seg": 0.12585, "aux.acc_seg": 70.78919, "loss": 0.37711, "time": 0.728} -{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.27293, "decode.acc_seg": 71.52334, "aux.loss_seg": 0.13832, "aux.acc_seg": 69.60069, "loss": 0.41125, "time": 0.73754} -{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.25582, "decode.acc_seg": 71.98816, "aux.loss_seg": 0.13199, "aux.acc_seg": 70.11594, "loss": 0.38781, "time": 0.72928} -{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.26456, "decode.acc_seg": 71.99047, "aux.loss_seg": 0.13778, "aux.acc_seg": 69.99183, "loss": 0.40234, "time": 0.7355} -{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.2752, "decode.acc_seg": 72.1269, "aux.loss_seg": 0.1395, "aux.acc_seg": 70.38751, "loss": 0.4147, "time": 0.72907} -{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 26851, "data_time": 0.01005, "decode.loss_seg": 0.26732, "decode.acc_seg": 73.28836, "aux.loss_seg": 0.13267, "aux.acc_seg": 71.85971, "loss": 0.39999, "time": 0.7383} -{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 26851, "data_time": 0.00944, "decode.loss_seg": 0.26491, "decode.acc_seg": 71.89651, "aux.loss_seg": 0.13535, "aux.acc_seg": 70.03694, "loss": 0.40026, "time": 0.72803} -{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 26851, "data_time": 0.00908, "decode.loss_seg": 0.2515, "decode.acc_seg": 73.66354, "aux.loss_seg": 0.12927, "aux.acc_seg": 71.80157, "loss": 0.38077, "time": 0.7311} -{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.24379, "decode.acc_seg": 73.47159, "aux.loss_seg": 0.12472, "aux.acc_seg": 71.73405, "loss": 0.36851, "time": 0.73477} -{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 26851, "data_time": 0.00952, "decode.loss_seg": 0.26022, "decode.acc_seg": 71.17053, "aux.loss_seg": 0.13188, "aux.acc_seg": 69.38365, "loss": 0.3921, "time": 0.74266} -{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.26313, "decode.acc_seg": 70.95682, "aux.loss_seg": 0.1343, "aux.acc_seg": 69.2677, "loss": 0.39743, "time": 0.73241} -{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 26851, "data_time": 0.23842, "decode.loss_seg": 0.26299, "decode.acc_seg": 71.55669, "aux.loss_seg": 0.13162, "aux.acc_seg": 70.02488, "loss": 0.39461, "time": 0.96213} -{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.25915, "decode.acc_seg": 72.28742, "aux.loss_seg": 0.13292, "aux.acc_seg": 70.43912, "loss": 0.39207, "time": 0.72789} -{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.27135, "decode.acc_seg": 72.70121, "aux.loss_seg": 0.13712, "aux.acc_seg": 71.10229, "loss": 0.40847, "time": 0.73017} -{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.26463, "decode.acc_seg": 73.1848, "aux.loss_seg": 0.13583, "aux.acc_seg": 71.17139, "loss": 0.40046, "time": 0.72888} -{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.24372, "decode.acc_seg": 72.58166, "aux.loss_seg": 0.12741, "aux.acc_seg": 70.66916, "loss": 0.37113, "time": 0.7334} -{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.37694, "aux.loss_seg": 0.12745, "aux.acc_seg": 70.63527, "loss": 0.3768, "time": 0.7358} -{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26453, "decode.acc_seg": 71.49794, "aux.loss_seg": 0.13583, "aux.acc_seg": 69.62862, "loss": 0.40036, "time": 0.72587} -{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.2642, "decode.acc_seg": 71.9627, "aux.loss_seg": 0.13313, "aux.acc_seg": 70.13311, "loss": 0.39733, "time": 0.72423} -{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.2513, "decode.acc_seg": 71.54847, "aux.loss_seg": 0.12915, "aux.acc_seg": 69.78724, "loss": 0.38045, "time": 0.72253} -{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.26845, "decode.acc_seg": 73.08949, "aux.loss_seg": 0.13916, "aux.acc_seg": 71.16278, "loss": 0.40762, "time": 0.72791} -{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.2465, "decode.acc_seg": 72.33314, "aux.loss_seg": 0.12779, "aux.acc_seg": 70.47407, "loss": 0.37429, "time": 0.73172} -{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 26851, "data_time": 0.00731, "decode.loss_seg": 0.2657, "decode.acc_seg": 72.04233, "aux.loss_seg": 0.13646, "aux.acc_seg": 70.23074, "loss": 0.40216, "time": 0.73404} -{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 26851, "data_time": 0.00729, "decode.loss_seg": 0.25459, "decode.acc_seg": 71.08171, "aux.loss_seg": 0.13237, "aux.acc_seg": 69.04494, "loss": 0.38696, "time": 0.73113} -{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.2737, "decode.acc_seg": 72.2061, "aux.loss_seg": 0.13705, "aux.acc_seg": 70.4072, "loss": 0.41074, "time": 0.72615} -{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.24966, "decode.acc_seg": 73.1589, "aux.loss_seg": 0.12769, "aux.acc_seg": 71.3778, "loss": 0.37735, "time": 0.73338} -{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.26093, "decode.acc_seg": 73.16367, "aux.loss_seg": 0.13395, "aux.acc_seg": 71.29368, "loss": 0.39488, "time": 0.72671} -{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.25761, "decode.acc_seg": 72.95836, "aux.loss_seg": 0.13115, "aux.acc_seg": 71.2421, "loss": 0.38876, "time": 0.73402} -{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.26841, "decode.acc_seg": 70.9475, "aux.loss_seg": 0.1364, "aux.acc_seg": 69.21743, "loss": 0.40481, "time": 0.72958} -{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.27192, "decode.acc_seg": 70.91026, "aux.loss_seg": 0.1383, "aux.acc_seg": 69.04762, "loss": 0.41022, "time": 0.7316} -{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.23947, "decode.acc_seg": 72.10741, "aux.loss_seg": 0.12494, "aux.acc_seg": 70.27519, "loss": 0.36442, "time": 0.73018} -{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.25369, "decode.acc_seg": 72.48243, "aux.loss_seg": 0.12981, "aux.acc_seg": 70.81778, "loss": 0.3835, "time": 0.72279} -{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26431, "decode.acc_seg": 72.48974, "aux.loss_seg": 0.13304, "aux.acc_seg": 70.895, "loss": 0.39734, "time": 0.72372} -{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.27682, "decode.acc_seg": 71.10197, "aux.loss_seg": 0.13835, "aux.acc_seg": 69.41772, "loss": 0.41517, "time": 0.7311} -{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.26194, "decode.acc_seg": 72.38517, "aux.loss_seg": 0.13268, "aux.acc_seg": 70.64323, "loss": 0.39462, "time": 0.73083} -{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.24309, "decode.acc_seg": 71.97436, "aux.loss_seg": 0.1247, "aux.acc_seg": 70.22793, "loss": 0.36779, "time": 0.73609} -{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2647, "decode.acc_seg": 73.52309, "aux.loss_seg": 0.13322, "aux.acc_seg": 71.79778, "loss": 0.39791, "time": 0.73641} -{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 26851, "data_time": 0.24483, "decode.loss_seg": 0.248, "decode.acc_seg": 71.01315, "aux.loss_seg": 0.12776, "aux.acc_seg": 69.32102, "loss": 0.37575, "time": 0.96613} -{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.25953, "decode.acc_seg": 72.9488, "aux.loss_seg": 0.13259, "aux.acc_seg": 71.01628, "loss": 0.39212, "time": 0.72656} -{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.27281, "decode.acc_seg": 72.3787, "aux.loss_seg": 0.13733, "aux.acc_seg": 70.73764, "loss": 0.41014, "time": 0.73144} -{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.24382, "decode.acc_seg": 71.9265, "aux.loss_seg": 0.12459, "aux.acc_seg": 70.2329, "loss": 0.36841, "time": 0.73107} -{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.25435, "decode.acc_seg": 72.26951, "aux.loss_seg": 0.13038, "aux.acc_seg": 70.49691, "loss": 0.38473, "time": 0.73464} -{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.2622, "decode.acc_seg": 71.26258, "aux.loss_seg": 0.13314, "aux.acc_seg": 69.53878, "loss": 0.39534, "time": 0.73716} -{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 26851, "data_time": 0.0095, "decode.loss_seg": 0.24714, "decode.acc_seg": 74.31052, "aux.loss_seg": 0.12904, "aux.acc_seg": 72.39641, "loss": 0.37618, "time": 0.73236} -{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.26916, "decode.acc_seg": 73.62706, "aux.loss_seg": 0.13422, "aux.acc_seg": 71.96306, "loss": 0.40338, "time": 0.73233} -{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.26396, "decode.acc_seg": 70.67218, "aux.loss_seg": 0.13706, "aux.acc_seg": 68.74208, "loss": 0.40101, "time": 0.73289} -{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.25761, "decode.acc_seg": 72.29097, "aux.loss_seg": 0.13007, "aux.acc_seg": 70.6566, "loss": 0.38768, "time": 0.72768} -{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25164, "decode.acc_seg": 72.10789, "aux.loss_seg": 0.12827, "aux.acc_seg": 70.42599, "loss": 0.37991, "time": 0.7333} -{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.26338, "decode.acc_seg": 71.96932, "aux.loss_seg": 0.13248, "aux.acc_seg": 70.31282, "loss": 0.39586, "time": 0.72964} -{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.25886, "decode.acc_seg": 72.61371, "aux.loss_seg": 0.13229, "aux.acc_seg": 70.82817, "loss": 0.39116, "time": 0.73386} -{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.24384, "decode.acc_seg": 72.18166, "aux.loss_seg": 0.12377, "aux.acc_seg": 70.65048, "loss": 0.36762, "time": 0.72774} -{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.2559, "decode.acc_seg": 72.12819, "aux.loss_seg": 0.12898, "aux.acc_seg": 70.55229, "loss": 0.38488, "time": 0.73683} -{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.24751, "decode.acc_seg": 72.74024, "aux.loss_seg": 0.12694, "aux.acc_seg": 71.07378, "loss": 0.37446, "time": 0.72505} -{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.25675, "decode.acc_seg": 72.24465, "aux.loss_seg": 0.13548, "aux.acc_seg": 70.07765, "loss": 0.39224, "time": 0.72635} -{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.26182, "decode.acc_seg": 71.85413, "aux.loss_seg": 0.13031, "aux.acc_seg": 70.19317, "loss": 0.39213, "time": 0.73114} -{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25375, "decode.acc_seg": 73.85696, "aux.loss_seg": 0.12758, "aux.acc_seg": 72.2112, "loss": 0.38133, "time": 0.73287} -{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.26465, "decode.acc_seg": 72.30044, "aux.loss_seg": 0.13387, "aux.acc_seg": 70.36909, "loss": 0.39852, "time": 0.72972} -{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.25243, "decode.acc_seg": 72.63764, "aux.loss_seg": 0.12737, "aux.acc_seg": 70.97808, "loss": 0.3798, "time": 0.73163} -{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.24322, "decode.acc_seg": 72.85449, "aux.loss_seg": 0.12579, "aux.acc_seg": 71.03347, "loss": 0.36901, "time": 0.73144} -{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.25819, "decode.acc_seg": 73.66859, "aux.loss_seg": 0.13322, "aux.acc_seg": 71.66038, "loss": 0.39141, "time": 0.72491} -{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.26314, "decode.acc_seg": 72.9734, "aux.loss_seg": 0.13454, "aux.acc_seg": 71.09265, "loss": 0.39769, "time": 0.73233} -{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.24215, "decode.acc_seg": 72.16527, "aux.loss_seg": 0.12363, "aux.acc_seg": 70.38297, "loss": 0.36579, "time": 0.7294} -{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 26851, "data_time": 0.26042, "decode.loss_seg": 0.27135, "decode.acc_seg": 72.43188, "aux.loss_seg": 0.13262, "aux.acc_seg": 70.80133, "loss": 0.40397, "time": 0.98168} -{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.25024, "decode.acc_seg": 73.55815, "aux.loss_seg": 0.12764, "aux.acc_seg": 71.81356, "loss": 0.37788, "time": 0.73451} -{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.25911, "decode.acc_seg": 72.5064, "aux.loss_seg": 0.13302, "aux.acc_seg": 70.67315, "loss": 0.39212, "time": 0.73065} -{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.24064, "decode.acc_seg": 71.0257, "aux.loss_seg": 0.12437, "aux.acc_seg": 69.33745, "loss": 0.365, "time": 0.73575} -{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25225, "decode.acc_seg": 72.13641, "aux.loss_seg": 0.13069, "aux.acc_seg": 70.30175, "loss": 0.38295, "time": 0.73286} -{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.24978, "decode.acc_seg": 71.81238, "aux.loss_seg": 0.12947, "aux.acc_seg": 69.82315, "loss": 0.37925, "time": 0.73535} -{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.24448, "decode.acc_seg": 73.22078, "aux.loss_seg": 0.12443, "aux.acc_seg": 71.49096, "loss": 0.36891, "time": 0.73371} -{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.25352, "decode.acc_seg": 73.3501, "aux.loss_seg": 0.13239, "aux.acc_seg": 71.2886, "loss": 0.38591, "time": 0.7368} -{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.25935, "decode.acc_seg": 73.27912, "aux.loss_seg": 0.13299, "aux.acc_seg": 71.40708, "loss": 0.39234, "time": 0.73822} -{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.26241, "decode.acc_seg": 70.59448, "aux.loss_seg": 0.13374, "aux.acc_seg": 68.90884, "loss": 0.39614, "time": 0.73441} -{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.24108, "decode.acc_seg": 72.9288, "aux.loss_seg": 0.12216, "aux.acc_seg": 71.35896, "loss": 0.36324, "time": 0.72817} -{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.25008, "decode.acc_seg": 72.89119, "aux.loss_seg": 0.12927, "aux.acc_seg": 71.14094, "loss": 0.37935, "time": 0.72837} -{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.24951, "decode.acc_seg": 72.78831, "aux.loss_seg": 0.12915, "aux.acc_seg": 71.02958, "loss": 0.37865, "time": 0.73483} -{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.24494, "decode.acc_seg": 71.92411, "aux.loss_seg": 0.12637, "aux.acc_seg": 70.17749, "loss": 0.37131, "time": 0.73596} -{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.26484, "decode.acc_seg": 72.1956, "aux.loss_seg": 0.12991, "aux.acc_seg": 70.57018, "loss": 0.39475, "time": 0.735} -{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.25128, "decode.acc_seg": 72.49663, "aux.loss_seg": 0.12766, "aux.acc_seg": 70.81535, "loss": 0.37894, "time": 0.73506} -{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.24911, "decode.acc_seg": 72.08256, "aux.loss_seg": 0.12621, "aux.acc_seg": 70.51689, "loss": 0.37532, "time": 0.73463} -{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.25997, "decode.acc_seg": 72.75516, "aux.loss_seg": 0.13082, "aux.acc_seg": 71.03675, "loss": 0.3908, "time": 0.72716} -{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.25986, "decode.acc_seg": 73.1844, "aux.loss_seg": 0.13263, "aux.acc_seg": 71.36073, "loss": 0.39249, "time": 0.72905} -{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.26787, "decode.acc_seg": 71.34694, "aux.loss_seg": 0.1375, "aux.acc_seg": 69.51492, "loss": 0.40537, "time": 0.73045} -{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.25938, "decode.acc_seg": 71.95827, "aux.loss_seg": 0.13115, "aux.acc_seg": 70.16816, "loss": 0.39053, "time": 0.73715} -{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.25423, "decode.acc_seg": 73.07371, "aux.loss_seg": 0.13153, "aux.acc_seg": 71.10031, "loss": 0.38577, "time": 0.73485} -{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.2593, "decode.acc_seg": 72.87689, "aux.loss_seg": 0.13209, "aux.acc_seg": 71.12561, "loss": 0.39139, "time": 0.73459} -{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2655, "decode.acc_seg": 71.61492, "aux.loss_seg": 0.13439, "aux.acc_seg": 69.78363, "loss": 0.39989, "time": 0.72781} -{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.25213, "decode.acc_seg": 71.90409, "aux.loss_seg": 0.12802, "aux.acc_seg": 70.17635, "loss": 0.38015, "time": 0.72754} -{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 26851, "data_time": 0.2544, "decode.loss_seg": 0.25699, "decode.acc_seg": 72.87393, "aux.loss_seg": 0.13021, "aux.acc_seg": 71.03156, "loss": 0.3872, "time": 0.97463} -{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.25154, "decode.acc_seg": 73.8045, "aux.loss_seg": 0.129, "aux.acc_seg": 71.93153, "loss": 0.38053, "time": 0.73218} -{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.2627, "decode.acc_seg": 71.89824, "aux.loss_seg": 0.13363, "aux.acc_seg": 70.11321, "loss": 0.39633, "time": 0.73244} -{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.2509, "decode.acc_seg": 72.4234, "aux.loss_seg": 0.12642, "aux.acc_seg": 70.76627, "loss": 0.37732, "time": 0.73021} -{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.26208, "decode.acc_seg": 74.08784, "aux.loss_seg": 0.13381, "aux.acc_seg": 72.23077, "loss": 0.3959, "time": 0.7311} -{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.25309, "decode.acc_seg": 72.54064, "aux.loss_seg": 0.12936, "aux.acc_seg": 70.6155, "loss": 0.38245, "time": 0.73412} -{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.24918, "decode.acc_seg": 72.35499, "aux.loss_seg": 0.12701, "aux.acc_seg": 70.63718, "loss": 0.37619, "time": 0.72795} -{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.25749, "decode.acc_seg": 74.62334, "aux.loss_seg": 0.13159, "aux.acc_seg": 72.6728, "loss": 0.38908, "time": 0.73403} -{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.25255, "decode.acc_seg": 73.008, "aux.loss_seg": 0.12849, "aux.acc_seg": 71.30756, "loss": 0.38103, "time": 0.72977} -{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.25535, "decode.acc_seg": 73.28749, "aux.loss_seg": 0.12921, "aux.acc_seg": 71.41305, "loss": 0.38456, "time": 0.73298} -{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.26513, "decode.acc_seg": 72.35737, "aux.loss_seg": 0.13243, "aux.acc_seg": 70.74833, "loss": 0.39757, "time": 0.73008} -{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.24642, "decode.acc_seg": 70.84542, "aux.loss_seg": 0.12879, "aux.acc_seg": 69.09047, "loss": 0.3752, "time": 0.73761} -{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.24593, "decode.acc_seg": 71.77572, "aux.loss_seg": 0.12716, "aux.acc_seg": 69.92384, "loss": 0.37309, "time": 0.73186} -{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.2545, "decode.acc_seg": 71.82842, "aux.loss_seg": 0.12847, "aux.acc_seg": 70.13512, "loss": 0.38297, "time": 0.72897} -{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.24823, "decode.acc_seg": 73.5339, "aux.loss_seg": 0.12637, "aux.acc_seg": 71.84122, "loss": 0.3746, "time": 0.72195} -{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.25275, "decode.acc_seg": 72.4644, "aux.loss_seg": 0.12828, "aux.acc_seg": 70.76607, "loss": 0.38103, "time": 0.72705} -{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.24352, "decode.acc_seg": 73.3316, "aux.loss_seg": 0.12401, "aux.acc_seg": 71.5907, "loss": 0.36753, "time": 0.7313} -{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.24925, "decode.acc_seg": 73.42704, "aux.loss_seg": 0.12867, "aux.acc_seg": 71.62784, "loss": 0.37793, "time": 0.7328} -{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.24333, "decode.acc_seg": 71.32354, "aux.loss_seg": 0.12836, "aux.acc_seg": 69.27133, "loss": 0.37169, "time": 0.7342} -{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.25259, "decode.acc_seg": 72.03232, "aux.loss_seg": 0.12867, "aux.acc_seg": 70.16794, "loss": 0.38126, "time": 0.72797} -{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.24718, "decode.acc_seg": 72.77388, "aux.loss_seg": 0.12569, "aux.acc_seg": 71.1316, "loss": 0.37287, "time": 0.73004} -{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.23184, "decode.acc_seg": 71.75973, "aux.loss_seg": 0.11974, "aux.acc_seg": 70.10235, "loss": 0.35158, "time": 0.72301} -{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.25205, "decode.acc_seg": 72.38203, "aux.loss_seg": 0.12942, "aux.acc_seg": 70.49439, "loss": 0.38147, "time": 0.73229} -{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.25024, "decode.acc_seg": 72.48504, "aux.loss_seg": 0.12725, "aux.acc_seg": 70.76815, "loss": 0.37749, "time": 0.73059} -{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.27237, "decode.acc_seg": 73.04225, "aux.loss_seg": 0.1388, "aux.acc_seg": 71.16141, "loss": 0.41116, "time": 0.73481} -{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 26851, "data_time": 0.25115, "decode.loss_seg": 0.27116, "decode.acc_seg": 71.63933, "aux.loss_seg": 0.13656, "aux.acc_seg": 69.92094, "loss": 0.40771, "time": 0.97249} -{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.25817, "decode.acc_seg": 73.42519, "aux.loss_seg": 0.13051, "aux.acc_seg": 71.7036, "loss": 0.38869, "time": 0.72673} -{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.24226, "decode.acc_seg": 72.42326, "aux.loss_seg": 0.12347, "aux.acc_seg": 70.71337, "loss": 0.36574, "time": 0.73212} -{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.24344, "decode.acc_seg": 73.08999, "aux.loss_seg": 0.12336, "aux.acc_seg": 71.4317, "loss": 0.3668, "time": 0.73224} -{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.24025, "decode.acc_seg": 73.0098, "aux.loss_seg": 0.12493, "aux.acc_seg": 71.13158, "loss": 0.36517, "time": 0.72557} -{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.26521, "decode.acc_seg": 70.58144, "aux.loss_seg": 0.13826, "aux.acc_seg": 68.52972, "loss": 0.40347, "time": 0.73932} -{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.24448, "decode.acc_seg": 73.40108, "aux.loss_seg": 0.12482, "aux.acc_seg": 71.61365, "loss": 0.3693, "time": 0.74026} -{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.24603, "decode.acc_seg": 73.84835, "aux.loss_seg": 0.12782, "aux.acc_seg": 71.92015, "loss": 0.37386, "time": 0.72881} -{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2443, "decode.acc_seg": 72.05863, "aux.loss_seg": 0.12635, "aux.acc_seg": 70.27211, "loss": 0.37065, "time": 0.72677} -{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.25096, "decode.acc_seg": 71.86985, "aux.loss_seg": 0.12907, "aux.acc_seg": 69.94637, "loss": 0.38003, "time": 0.72588} -{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.24268, "decode.acc_seg": 72.00875, "aux.loss_seg": 0.1216, "aux.acc_seg": 70.34298, "loss": 0.36428, "time": 0.72811} -{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.25217, "decode.acc_seg": 71.84262, "aux.loss_seg": 0.12967, "aux.acc_seg": 69.99892, "loss": 0.38184, "time": 0.73312} -{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.24096, "decode.acc_seg": 71.79328, "aux.loss_seg": 0.12457, "aux.acc_seg": 69.95793, "loss": 0.36554, "time": 0.73029} -{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.25761, "decode.acc_seg": 73.25099, "aux.loss_seg": 0.13145, "aux.acc_seg": 71.48284, "loss": 0.38907, "time": 0.73068} -{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.2436, "decode.acc_seg": 73.6801, "aux.loss_seg": 0.12445, "aux.acc_seg": 72.01765, "loss": 0.36805, "time": 0.727} -{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.2598, "decode.acc_seg": 71.91181, "aux.loss_seg": 0.13212, "aux.acc_seg": 70.25773, "loss": 0.39192, "time": 0.72791} -{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.25051, "decode.acc_seg": 71.69221, "aux.loss_seg": 0.13098, "aux.acc_seg": 69.69458, "loss": 0.3815, "time": 0.72653} -{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.24897, "decode.acc_seg": 72.67698, "aux.loss_seg": 0.12681, "aux.acc_seg": 71.05492, "loss": 0.37578, "time": 0.72697} -{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.25534, "decode.acc_seg": 70.44401, "aux.loss_seg": 0.12939, "aux.acc_seg": 68.65305, "loss": 0.38473, "time": 0.73709} -{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.24446, "decode.acc_seg": 73.22637, "aux.loss_seg": 0.12577, "aux.acc_seg": 71.42859, "loss": 0.37023, "time": 0.73149} -{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.24242, "decode.acc_seg": 72.47063, "aux.loss_seg": 0.12728, "aux.acc_seg": 70.5162, "loss": 0.3697, "time": 0.72996} -{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.25147, "decode.acc_seg": 72.83694, "aux.loss_seg": 0.1299, "aux.acc_seg": 71.02708, "loss": 0.38137, "time": 0.72993} -{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.24917, "decode.acc_seg": 71.68608, "aux.loss_seg": 0.1285, "aux.acc_seg": 69.71742, "loss": 0.37766, "time": 0.7349} -{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.258, "decode.acc_seg": 72.45716, "aux.loss_seg": 0.13303, "aux.acc_seg": 70.5534, "loss": 0.39103, "time": 0.72938} -{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.24721, "decode.acc_seg": 71.72421, "aux.loss_seg": 0.12928, "aux.acc_seg": 69.89372, "loss": 0.37649, "time": 0.73565} -{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.24752, "decode.acc_seg": 72.01291, "aux.loss_seg": 0.12854, "aux.acc_seg": 70.12691, "loss": 0.37606, "time": 0.7332} -{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 26851, "data_time": 0.25058, "decode.loss_seg": 0.24221, "decode.acc_seg": 73.90715, "aux.loss_seg": 0.1249, "aux.acc_seg": 72.14568, "loss": 0.3671, "time": 0.97425} -{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24479, "decode.acc_seg": 72.45035, "aux.loss_seg": 0.12884, "aux.acc_seg": 70.48773, "loss": 0.37364, "time": 0.73102} -{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.24346, "decode.acc_seg": 70.73598, "aux.loss_seg": 0.12449, "aux.acc_seg": 68.93583, "loss": 0.36794, "time": 0.73024} -{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.24881, "decode.acc_seg": 73.51474, "aux.loss_seg": 0.13059, "aux.acc_seg": 71.44801, "loss": 0.3794, "time": 0.729} -{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25546, "decode.acc_seg": 72.68056, "aux.loss_seg": 0.13228, "aux.acc_seg": 70.60899, "loss": 0.38774, "time": 0.73709} -{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.23809, "decode.acc_seg": 71.19178, "aux.loss_seg": 0.12493, "aux.acc_seg": 69.28139, "loss": 0.36302, "time": 0.734} -{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.2455, "decode.acc_seg": 72.18278, "aux.loss_seg": 0.12523, "aux.acc_seg": 70.45517, "loss": 0.37072, "time": 0.73813} -{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.24879, "decode.acc_seg": 72.39093, "aux.loss_seg": 0.129, "aux.acc_seg": 70.54181, "loss": 0.37779, "time": 0.73175} -{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.23773, "decode.acc_seg": 71.52299, "aux.loss_seg": 0.12286, "aux.acc_seg": 69.8175, "loss": 0.36059, "time": 0.73442} -{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.24204, "decode.acc_seg": 72.29774, "aux.loss_seg": 0.12429, "aux.acc_seg": 70.5568, "loss": 0.36633, "time": 0.73258} -{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.23351, "decode.acc_seg": 73.87393, "aux.loss_seg": 0.12144, "aux.acc_seg": 72.04698, "loss": 0.35494, "time": 0.72648} -{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.24133, "decode.acc_seg": 72.51864, "aux.loss_seg": 0.12309, "aux.acc_seg": 70.91581, "loss": 0.36442, "time": 0.72968} -{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.24101, "decode.acc_seg": 73.22401, "aux.loss_seg": 0.12271, "aux.acc_seg": 71.46543, "loss": 0.36373, "time": 0.73168} -{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.26102, "decode.acc_seg": 72.90795, "aux.loss_seg": 0.13425, "aux.acc_seg": 70.93995, "loss": 0.39527, "time": 0.73173} -{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.24325, "decode.acc_seg": 72.82547, "aux.loss_seg": 0.12651, "aux.acc_seg": 71.07793, "loss": 0.36976, "time": 0.72804} -{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.24422, "decode.acc_seg": 73.64784, "aux.loss_seg": 0.12286, "aux.acc_seg": 72.02799, "loss": 0.36708, "time": 0.72682} -{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.23928, "decode.acc_seg": 73.25567, "aux.loss_seg": 0.12447, "aux.acc_seg": 71.39125, "loss": 0.36376, "time": 0.72587} -{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.24525, "decode.acc_seg": 72.45348, "aux.loss_seg": 0.1259, "aux.acc_seg": 70.68664, "loss": 0.37115, "time": 0.73213} -{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.24311, "decode.acc_seg": 73.89873, "aux.loss_seg": 0.12654, "aux.acc_seg": 72.10441, "loss": 0.36965, "time": 0.7391} -{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.24318, "decode.acc_seg": 71.77801, "aux.loss_seg": 0.12615, "aux.acc_seg": 69.9864, "loss": 0.36933, "time": 0.73618} -{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.25509, "decode.acc_seg": 73.28466, "aux.loss_seg": 0.13066, "aux.acc_seg": 71.56925, "loss": 0.38576, "time": 0.72958} -{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.25005, "decode.acc_seg": 72.49236, "aux.loss_seg": 0.12542, "aux.acc_seg": 70.9733, "loss": 0.37547, "time": 0.73189} -{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.26165, "decode.acc_seg": 71.69244, "aux.loss_seg": 0.13228, "aux.acc_seg": 69.94863, "loss": 0.39393, "time": 0.72691} -{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.25201, "decode.acc_seg": 73.80076, "aux.loss_seg": 0.13173, "aux.acc_seg": 71.73616, "loss": 0.38374, "time": 0.72621} -{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.25224, "decode.acc_seg": 72.879, "aux.loss_seg": 0.13018, "aux.acc_seg": 70.97937, "loss": 0.38242, "time": 0.72731} -{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 26851, "data_time": 0.25014, "decode.loss_seg": 0.23755, "decode.acc_seg": 74.69691, "aux.loss_seg": 0.12659, "aux.acc_seg": 72.59246, "loss": 0.36414, "time": 0.9736} -{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.24739, "decode.acc_seg": 73.11745, "aux.loss_seg": 0.12732, "aux.acc_seg": 71.24866, "loss": 0.37472, "time": 0.73244} -{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.24635, "decode.acc_seg": 72.7676, "aux.loss_seg": 0.12673, "aux.acc_seg": 70.98646, "loss": 0.37308, "time": 0.73152} -{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.25525, "decode.acc_seg": 73.27927, "aux.loss_seg": 0.13093, "aux.acc_seg": 71.39919, "loss": 0.38618, "time": 0.72976} -{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.24449, "decode.acc_seg": 73.60357, "aux.loss_seg": 0.12506, "aux.acc_seg": 71.70306, "loss": 0.36955, "time": 0.73628} -{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.26797, "decode.acc_seg": 73.71336, "aux.loss_seg": 0.13622, "aux.acc_seg": 71.85468, "loss": 0.40419, "time": 0.72868} -{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.25128, "decode.acc_seg": 72.81469, "aux.loss_seg": 0.12907, "aux.acc_seg": 70.98391, "loss": 0.38036, "time": 0.72764} -{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.25137, "decode.acc_seg": 72.97839, "aux.loss_seg": 0.12711, "aux.acc_seg": 71.28749, "loss": 0.37849, "time": 0.72654} -{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4628, "mAcc": 0.5899, "aAcc": 0.8157, "IoU.wall": 0.7591, "IoU.building": 0.8078, "IoU.sky": 0.94, "IoU.floor": 0.8053, "IoU.tree": 0.7393, "IoU.ceiling": 0.8353, "IoU.road": 0.8289, "IoU.bed ": 0.8687, "IoU.windowpane": 0.5942, "IoU.grass": 0.6673, "IoU.cabinet": 0.5695, "IoU.sidewalk": 0.634, "IoU.person": 0.7713, "IoU.earth": 0.3412, "IoU.door": 0.4476, "IoU.table": 0.5427, "IoU.mountain": 0.5222, "IoU.plant": 0.5135, "IoU.curtain": 0.7129, "IoU.chair": 0.5263, "IoU.car": 0.8157, "IoU.water": 0.519, "IoU.painting": 0.7088, "IoU.sofa": 0.5781, "IoU.shelf": 0.4398, "IoU.house": 0.3063, "IoU.sea": 0.4863, "IoU.mirror": 0.5835, "IoU.rug": 0.6653, "IoU.field": 0.2345, "IoU.armchair": 0.3906, "IoU.seat": 0.614, "IoU.fence": 0.3493, "IoU.desk": 0.4689, "IoU.rock": 0.3855, "IoU.wardrobe": 0.4869, "IoU.lamp": 0.5868, "IoU.bathtub": 0.7156, "IoU.railing": 0.3632, "IoU.cushion": 0.5221, "IoU.base": 0.2844, "IoU.box": 0.2537, "IoU.column": 0.4065, "IoU.signboard": 0.3514, "IoU.chest of drawers": 0.3792, "IoU.counter": 0.3363, "IoU.sand": 0.369, "IoU.sink": 0.6808, "IoU.skyscraper": 0.5385, "IoU.fireplace": NaN, "IoU.refrigerator": 0.67, "IoU.grandstand": 0.4293, "IoU.path": 0.2461, "IoU.stairs": 0.3195, "IoU.runway": 0.7377, "IoU.case": 0.4644, "IoU.pool table": 0.9061, "IoU.pillow": 0.5237, "IoU.screen door": 0.6744, "IoU.stairway": 0.2541, "IoU.river": 0.0944, "IoU.bridge": 0.6837, "IoU.bookcase": 0.383, "IoU.blind": NaN, "IoU.coffee table": 0.4948, "IoU.toilet": 0.8005, "IoU.flower": 0.3942, "IoU.book": 0.4453, "IoU.hill": 0.1147, "IoU.bench": 0.4809, "IoU.countertop": 0.5253, "IoU.stove": 0.6609, "IoU.palm": 0.4518, "IoU.kitchen island": 0.352, "IoU.computer": 0.592, "IoU.swivel chair": 0.4376, "IoU.boat": 0.4445, "IoU.bar": 0.2854, "IoU.arcade machine": 0.769, "IoU.hovel": 0.2775, "IoU.bus": 0.8112, "IoU.towel": 0.6024, "IoU.light": 0.5389, "IoU.truck": 0.2173, "IoU.tower": 0.0938, "IoU.chandelier": 0.6535, "IoU.awning": 0.2898, "IoU.streetlight": 0.1993, "IoU.booth": 0.5722, "IoU.television receiver": NaN, "IoU.airplane": 0.5605, "IoU.dirt track": 0.0042, "IoU.apparel": 0.2543, "IoU.pole": 0.1368, "IoU.land": 0.0079, "IoU.bannister": 0.0815, "IoU.escalator": 0.4495, "IoU.ottoman": 0.3597, "IoU.bottle": NaN, "IoU.buffet": 0.3209, "IoU.poster": 0.2326, "IoU.stage": 0.2026, "IoU.van": 0.3957, "IoU.ship": 0.6833, "IoU.fountain": 0.4271, "IoU.conveyer belt": 0.7539, "IoU.canopy": 0.243, "IoU.washer": 0.6762, "IoU.plaything": 0.2005, "IoU.swimming pool": 0.6907, "IoU.stool": 0.3486, "IoU.barrel": 0.4068, "IoU.basket": 0.2757, "IoU.waterfall": 0.5766, "IoU.tent": 0.7573, "IoU.bag": 0.151, "IoU.minibike": 0.6742, "IoU.cradle": NaN, "IoU.oven": 0.1437, "IoU.ball": 0.4943, "IoU.food": 0.5518, "IoU.step": 0.0726, "IoU.tank": 0.5514, "IoU.trade name": 0.2423, "IoU.microwave": 0.7265, "IoU.pot": 0.5272, "IoU.animal": NaN, "IoU.bicycle": 0.5016, "IoU.lake": 0.5457, "IoU.dishwasher": 0.4544, "IoU.screen": 0.6599, "IoU.blanket": 0.1318, "IoU.sculpture": 0.5623, "IoU.hood": 0.5233, "IoU.sconce": 0.3804, "IoU.vase": 0.2965, "IoU.traffic light": 0.2525, "IoU.tray": 0.0381, "IoU.ashcan": 0.321, "IoU.fan": 0.5733, "IoU.pier": 0.5242, "IoU.crt screen": 0.0657, "IoU.plate": 0.5336, "IoU.monitor": 0.0444, "IoU.bulletin board": 0.3854, "IoU.shower": 0.0, "IoU.radiator": 0.5057, "IoU.glass": 0.1193, "IoU.clock": 0.3839, "IoU.flag": 0.5253, "Acc.wall": 0.8633, "Acc.building": 0.9197, "Acc.sky": 0.9722, "Acc.floor": 0.8892, "Acc.tree": 0.858, "Acc.ceiling": 0.9399, "Acc.road": 0.8825, "Acc.bed ": 0.9428, "Acc.windowpane": 0.7483, "Acc.grass": 0.8298, "Acc.cabinet": 0.7015, "Acc.sidewalk": 0.8249, "Acc.person": 0.9075, "Acc.earth": 0.4554, "Acc.door": 0.6393, "Acc.table": 0.7166, "Acc.mountain": 0.678, "Acc.plant": 0.6664, "Acc.curtain": 0.8407, "Acc.chair": 0.6648, "Acc.car": 0.9016, "Acc.water": 0.6691, "Acc.painting": 0.8651, "Acc.sofa": 0.747, "Acc.shelf": 0.5963, "Acc.house": 0.4017, "Acc.sea": 0.7097, "Acc.mirror": 0.6962, "Acc.rug": 0.7751, "Acc.field": 0.4283, "Acc.armchair": 0.5843, "Acc.seat": 0.846, "Acc.fence": 0.4555, "Acc.desk": 0.6465, "Acc.rock": 0.5898, "Acc.wardrobe": 0.7295, "Acc.lamp": 0.7152, "Acc.bathtub": 0.7833, "Acc.railing": 0.4859, "Acc.cushion": 0.6662, "Acc.base": 0.4005, "Acc.box": 0.3365, "Acc.column": 0.5143, "Acc.signboard": 0.5121, "Acc.chest of drawers": 0.5833, "Acc.counter": 0.4056, "Acc.sand": 0.5684, "Acc.sink": 0.784, "Acc.skyscraper": 0.6915, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8054, "Acc.grandstand": 0.691, "Acc.path": 0.3452, "Acc.stairs": 0.4421, "Acc.runway": 0.9634, "Acc.case": 0.6858, "Acc.pool table": 0.9657, "Acc.pillow": 0.6399, "Acc.screen door": 0.7868, "Acc.stairway": 0.3419, "Acc.river": 0.218, "Acc.bridge": 0.8477, "Acc.bookcase": 0.4814, "Acc.blind": NaN, "Acc.coffee table": 0.8131, "Acc.toilet": 0.8857, "Acc.flower": 0.6136, "Acc.book": 0.6842, "Acc.hill": 0.2242, "Acc.bench": 0.579, "Acc.countertop": 0.7355, "Acc.stove": 0.8181, "Acc.palm": 0.806, "Acc.kitchen island": 0.627, "Acc.computer": 0.713, "Acc.swivel chair": 0.6333, "Acc.boat": 0.588, "Acc.bar": 0.3676, "Acc.arcade machine": 0.8392, "Acc.hovel": 0.3941, "Acc.bus": 0.9525, "Acc.towel": 0.7335, "Acc.light": 0.6166, "Acc.truck": 0.3181, "Acc.tower": 0.1237, "Acc.chandelier": 0.8219, "Acc.awning": 0.3861, "Acc.streetlight": 0.2662, "Acc.booth": 0.6791, "Acc.television receiver": NaN, "Acc.airplane": 0.6627, "Acc.dirt track": 0.0105, "Acc.apparel": 0.3945, "Acc.pole": 0.1798, "Acc.land": 0.0109, "Acc.bannister": 0.1135, "Acc.escalator": 0.5638, "Acc.ottoman": 0.4486, "Acc.bottle": NaN, "Acc.buffet": 0.3482, "Acc.poster": 0.3734, "Acc.stage": 0.2871, "Acc.van": 0.5725, "Acc.ship": 0.9557, "Acc.fountain": 0.4554, "Acc.conveyer belt": 0.8775, "Acc.canopy": 0.2657, "Acc.washer": 0.7407, "Acc.plaything": 0.3613, "Acc.swimming pool": 0.7746, "Acc.stool": 0.5132, "Acc.barrel": 0.6472, "Acc.basket": 0.3885, "Acc.waterfall": 0.6989, "Acc.tent": 0.9815, "Acc.bag": 0.1841, "Acc.minibike": 0.8918, "Acc.cradle": NaN, "Acc.oven": 0.2002, "Acc.ball": 0.5602, "Acc.food": 0.6434, "Acc.step": 0.0793, "Acc.tank": 0.6354, "Acc.trade name": 0.2798, "Acc.microwave": 0.8385, "Acc.pot": 0.5909, "Acc.animal": NaN, "Acc.bicycle": 0.7383, "Acc.lake": 0.6353, "Acc.dishwasher": 0.5122, "Acc.screen": 0.9124, "Acc.blanket": 0.1538, "Acc.sculpture": 0.7194, "Acc.hood": 0.6689, "Acc.sconce": 0.4455, "Acc.vase": 0.488, "Acc.traffic light": 0.3609, "Acc.tray": 0.0624, "Acc.ashcan": 0.4259, "Acc.fan": 0.7465, "Acc.pier": 0.8166, "Acc.crt screen": 0.2055, "Acc.plate": 0.7206, "Acc.monitor": 0.07, "Acc.bulletin board": 0.5392, "Acc.shower": 0.0, "Acc.radiator": 0.5709, "Acc.glass": 0.127, "Acc.clock": 0.4523, "Acc.flag": 0.5802} -{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 26851, "data_time": 1.92856, "decode.loss_seg": 0.24948, "decode.acc_seg": 72.19958, "aux.loss_seg": 0.12885, "aux.acc_seg": 70.39145, "loss": 0.37834, "time": 2.65158} -{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.24428, "decode.acc_seg": 73.69163, "aux.loss_seg": 0.12524, "aux.acc_seg": 71.96381, "loss": 0.36952, "time": 0.7307} -{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.24844, "decode.acc_seg": 71.06108, "aux.loss_seg": 0.12842, "aux.acc_seg": 69.16702, "loss": 0.37686, "time": 0.73247} -{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.2522, "decode.acc_seg": 73.11948, "aux.loss_seg": 0.13013, "aux.acc_seg": 71.19156, "loss": 0.38234, "time": 0.74172} -{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.24524, "decode.acc_seg": 73.63424, "aux.loss_seg": 0.12634, "aux.acc_seg": 71.81383, "loss": 0.37158, "time": 0.73364} -{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.23067, "decode.acc_seg": 72.60852, "aux.loss_seg": 0.12092, "aux.acc_seg": 70.81306, "loss": 0.35158, "time": 0.73268} -{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.23688, "decode.acc_seg": 73.38977, "aux.loss_seg": 0.11973, "aux.acc_seg": 71.74279, "loss": 0.3566, "time": 0.73588} -{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.25089, "decode.acc_seg": 72.9215, "aux.loss_seg": 0.12957, "aux.acc_seg": 70.88324, "loss": 0.38046, "time": 0.73534} -{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.25974, "decode.acc_seg": 72.76168, "aux.loss_seg": 0.13375, "aux.acc_seg": 70.84359, "loss": 0.39349, "time": 0.73168} -{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.23844, "decode.acc_seg": 72.9042, "aux.loss_seg": 0.12205, "aux.acc_seg": 71.21676, "loss": 0.36049, "time": 0.72911} -{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.24138, "decode.acc_seg": 72.0922, "aux.loss_seg": 0.12293, "aux.acc_seg": 70.39361, "loss": 0.36431, "time": 0.72737} -{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.24421, "decode.acc_seg": 72.79603, "aux.loss_seg": 0.12498, "aux.acc_seg": 71.17423, "loss": 0.3692, "time": 0.7361} -{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.24957, "decode.acc_seg": 73.05717, "aux.loss_seg": 0.12819, "aux.acc_seg": 71.34947, "loss": 0.37776, "time": 0.73669} -{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.24233, "decode.acc_seg": 73.39383, "aux.loss_seg": 0.12475, "aux.acc_seg": 71.68012, "loss": 0.36708, "time": 0.73146} -{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.24987, "decode.acc_seg": 73.65761, "aux.loss_seg": 0.12772, "aux.acc_seg": 71.90281, "loss": 0.37759, "time": 0.73675} -{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.25016, "decode.acc_seg": 73.67632, "aux.loss_seg": 0.12692, "aux.acc_seg": 71.89986, "loss": 0.37709, "time": 0.73716} -{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 26851, "data_time": 0.25377, "decode.loss_seg": 0.24674, "decode.acc_seg": 72.24951, "aux.loss_seg": 0.12862, "aux.acc_seg": 70.40547, "loss": 0.37536, "time": 0.98766} -{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.24695, "decode.acc_seg": 72.08071, "aux.loss_seg": 0.12866, "aux.acc_seg": 70.23819, "loss": 0.3756, "time": 0.73278} -{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.24975, "decode.acc_seg": 72.32226, "aux.loss_seg": 0.12898, "aux.acc_seg": 70.42756, "loss": 0.37873, "time": 0.73399} -{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.23985, "decode.acc_seg": 73.14883, "aux.loss_seg": 0.12557, "aux.acc_seg": 71.21194, "loss": 0.36541, "time": 0.73325} -{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.24248, "decode.acc_seg": 72.69, "aux.loss_seg": 0.1248, "aux.acc_seg": 70.9058, "loss": 0.36729, "time": 0.7336} -{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.23248, "decode.acc_seg": 73.45514, "aux.loss_seg": 0.12174, "aux.acc_seg": 71.53663, "loss": 0.35422, "time": 0.73302} -{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.22944, "decode.acc_seg": 73.14989, "aux.loss_seg": 0.11751, "aux.acc_seg": 71.55305, "loss": 0.34696, "time": 0.73229} -{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.23882, "decode.acc_seg": 72.75543, "aux.loss_seg": 0.1249, "aux.acc_seg": 70.8484, "loss": 0.36372, "time": 0.73428} -{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.25416, "decode.acc_seg": 72.04262, "aux.loss_seg": 0.12979, "aux.acc_seg": 70.26434, "loss": 0.38396, "time": 0.72694} -{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.24817, "decode.acc_seg": 72.75953, "aux.loss_seg": 0.1269, "aux.acc_seg": 71.1217, "loss": 0.37507, "time": 0.7286} -{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.2318, "decode.acc_seg": 74.39607, "aux.loss_seg": 0.11916, "aux.acc_seg": 72.57433, "loss": 0.35095, "time": 0.73479} -{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.23884, "decode.acc_seg": 72.71781, "aux.loss_seg": 0.12277, "aux.acc_seg": 71.08199, "loss": 0.36161, "time": 0.73149} -{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.2375, "decode.acc_seg": 73.1592, "aux.loss_seg": 0.12635, "aux.acc_seg": 71.11648, "loss": 0.36385, "time": 0.73521} -{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.24175, "decode.acc_seg": 71.99626, "aux.loss_seg": 0.12451, "aux.acc_seg": 70.31635, "loss": 0.36626, "time": 0.73418} -{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.25101, "decode.acc_seg": 73.91263, "aux.loss_seg": 0.13207, "aux.acc_seg": 71.87856, "loss": 0.38309, "time": 0.72738} -{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.24729, "decode.acc_seg": 73.10508, "aux.loss_seg": 0.12771, "aux.acc_seg": 71.32716, "loss": 0.37499, "time": 0.73893} -{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.24127, "decode.acc_seg": 72.70829, "aux.loss_seg": 0.12421, "aux.acc_seg": 70.97314, "loss": 0.36548, "time": 0.73343} -{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.22711, "decode.acc_seg": 73.79774, "aux.loss_seg": 0.11642, "aux.acc_seg": 72.20191, "loss": 0.34353, "time": 0.73492} -{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.26934, "decode.acc_seg": 74.49851, "aux.loss_seg": 0.13746, "aux.acc_seg": 72.42568, "loss": 0.4068, "time": 0.73494} -{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.24219, "decode.acc_seg": 72.23775, "aux.loss_seg": 0.12489, "aux.acc_seg": 70.33214, "loss": 0.36708, "time": 0.73398} -{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.24709, "decode.acc_seg": 71.38451, "aux.loss_seg": 0.12707, "aux.acc_seg": 69.65135, "loss": 0.37416, "time": 0.7401} -{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.23852, "decode.acc_seg": 72.06296, "aux.loss_seg": 0.12364, "aux.acc_seg": 70.32126, "loss": 0.36216, "time": 0.73782} -{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.24841, "decode.acc_seg": 72.40968, "aux.loss_seg": 0.12663, "aux.acc_seg": 70.81829, "loss": 0.37504, "time": 0.72757} -{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.24343, "decode.acc_seg": 73.46798, "aux.loss_seg": 0.12359, "aux.acc_seg": 71.83495, "loss": 0.36702, "time": 0.73349} -{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.25853, "decode.acc_seg": 72.71122, "aux.loss_seg": 0.1311, "aux.acc_seg": 70.89929, "loss": 0.38963, "time": 0.73143} -{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 26851, "data_time": 0.25205, "decode.loss_seg": 0.24344, "decode.acc_seg": 72.98239, "aux.loss_seg": 0.12447, "aux.acc_seg": 71.24085, "loss": 0.36792, "time": 0.97977} -{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.2411, "decode.acc_seg": 72.4626, "aux.loss_seg": 0.12415, "aux.acc_seg": 70.7944, "loss": 0.36525, "time": 0.73445} -{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.22886, "decode.acc_seg": 72.67666, "aux.loss_seg": 0.11831, "aux.acc_seg": 70.99817, "loss": 0.34717, "time": 0.73633} -{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.23539, "decode.acc_seg": 72.38616, "aux.loss_seg": 0.12031, "aux.acc_seg": 70.63827, "loss": 0.3557, "time": 0.73687} -{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.24902, "decode.acc_seg": 73.43628, "aux.loss_seg": 0.12707, "aux.acc_seg": 71.76974, "loss": 0.37609, "time": 0.7359} -{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.23727, "decode.acc_seg": 72.30923, "aux.loss_seg": 0.12073, "aux.acc_seg": 70.60935, "loss": 0.358, "time": 0.7413} -{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.22704, "decode.acc_seg": 73.6124, "aux.loss_seg": 0.11746, "aux.acc_seg": 71.91544, "loss": 0.3445, "time": 0.73813} -{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.2424, "decode.acc_seg": 72.32534, "aux.loss_seg": 0.12393, "aux.acc_seg": 70.56864, "loss": 0.36633, "time": 0.73911} -{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.24311, "decode.acc_seg": 72.58936, "aux.loss_seg": 0.12379, "aux.acc_seg": 70.84366, "loss": 0.36691, "time": 0.74001} -{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.25305, "decode.acc_seg": 72.55437, "aux.loss_seg": 0.13079, "aux.acc_seg": 70.61111, "loss": 0.38384, "time": 0.73554} -{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.24794, "decode.acc_seg": 73.2537, "aux.loss_seg": 0.12796, "aux.acc_seg": 71.49563, "loss": 0.3759, "time": 0.73023} -{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.23514, "decode.acc_seg": 71.70123, "aux.loss_seg": 0.12254, "aux.acc_seg": 70.00029, "loss": 0.35769, "time": 0.7287} -{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.25327, "decode.acc_seg": 72.95874, "aux.loss_seg": 0.12828, "aux.acc_seg": 71.14394, "loss": 0.38155, "time": 0.72955} -{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.23997, "decode.acc_seg": 72.30116, "aux.loss_seg": 0.12687, "aux.acc_seg": 70.38579, "loss": 0.36684, "time": 0.73754} -{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.24059, "decode.acc_seg": 72.57878, "aux.loss_seg": 0.12438, "aux.acc_seg": 70.74699, "loss": 0.36496, "time": 0.73576} -{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22712, "decode.acc_seg": 73.54679, "aux.loss_seg": 0.11884, "aux.acc_seg": 71.83716, "loss": 0.34596, "time": 0.73584} -{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.24892, "decode.acc_seg": 71.12384, "aux.loss_seg": 0.12639, "aux.acc_seg": 69.45554, "loss": 0.37531, "time": 0.73329} -{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.24385, "decode.acc_seg": 73.58482, "aux.loss_seg": 0.12996, "aux.acc_seg": 71.55801, "loss": 0.37381, "time": 0.72446} -{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.26057, "decode.acc_seg": 74.22834, "aux.loss_seg": 0.13519, "aux.acc_seg": 72.21394, "loss": 0.39575, "time": 0.7298} -{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24655, "decode.acc_seg": 73.98072, "aux.loss_seg": 0.12475, "aux.acc_seg": 72.29397, "loss": 0.3713, "time": 0.73347} -{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.23441, "decode.acc_seg": 73.96477, "aux.loss_seg": 0.11959, "aux.acc_seg": 72.42914, "loss": 0.35401, "time": 0.73209} -{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.24428, "decode.acc_seg": 72.21867, "aux.loss_seg": 0.13028, "aux.acc_seg": 70.1799, "loss": 0.37456, "time": 0.73578} -{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.22844, "decode.acc_seg": 72.54225, "aux.loss_seg": 0.12134, "aux.acc_seg": 70.57922, "loss": 0.34978, "time": 0.73654} -{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.24629, "decode.acc_seg": 72.65681, "aux.loss_seg": 0.12638, "aux.acc_seg": 70.88461, "loss": 0.37267, "time": 0.72806} -{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.23057, "decode.acc_seg": 73.62266, "aux.loss_seg": 0.11938, "aux.acc_seg": 71.88814, "loss": 0.34995, "time": 0.73012} -{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.24383, "decode.acc_seg": 72.80487, "aux.loss_seg": 0.12691, "aux.acc_seg": 70.92647, "loss": 0.37074, "time": 0.72998} -{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 26851, "data_time": 0.2562, "decode.loss_seg": 0.24679, "decode.acc_seg": 72.51829, "aux.loss_seg": 0.12567, "aux.acc_seg": 70.70519, "loss": 0.37245, "time": 0.98293} -{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.22272, "decode.acc_seg": 74.48404, "aux.loss_seg": 0.11362, "aux.acc_seg": 72.94384, "loss": 0.33634, "time": 0.73518} -{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.22631, "decode.acc_seg": 73.0976, "aux.loss_seg": 0.11671, "aux.acc_seg": 71.41414, "loss": 0.34303, "time": 0.73577} -{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.22252, "decode.acc_seg": 73.10395, "aux.loss_seg": 0.11938, "aux.acc_seg": 71.10921, "loss": 0.3419, "time": 0.73047} -{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.24697, "decode.acc_seg": 71.80001, "aux.loss_seg": 0.12831, "aux.acc_seg": 69.94536, "loss": 0.37529, "time": 0.73663} -{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.24169, "decode.acc_seg": 72.77013, "aux.loss_seg": 0.12435, "aux.acc_seg": 71.04861, "loss": 0.36605, "time": 0.7367} -{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.22803, "decode.acc_seg": 73.98164, "aux.loss_seg": 0.11854, "aux.acc_seg": 72.23348, "loss": 0.34657, "time": 0.73092} -{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.22531, "decode.acc_seg": 73.98879, "aux.loss_seg": 0.11756, "aux.acc_seg": 72.29378, "loss": 0.34287, "time": 0.72805} -{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.2354, "decode.acc_seg": 73.64419, "aux.loss_seg": 0.12345, "aux.acc_seg": 71.81265, "loss": 0.35885, "time": 0.72987} -{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.23747, "decode.acc_seg": 72.39681, "aux.loss_seg": 0.12309, "aux.acc_seg": 70.63222, "loss": 0.36056, "time": 0.73482} -{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.22371, "decode.acc_seg": 73.78584, "aux.loss_seg": 0.11707, "aux.acc_seg": 72.02785, "loss": 0.34079, "time": 0.73385} -{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.22489, "decode.acc_seg": 74.56288, "aux.loss_seg": 0.11849, "aux.acc_seg": 72.68731, "loss": 0.34338, "time": 0.73483} -{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.23872, "decode.acc_seg": 72.00252, "aux.loss_seg": 0.12498, "aux.acc_seg": 69.99664, "loss": 0.3637, "time": 0.73589} -{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.24117, "decode.acc_seg": 73.09187, "aux.loss_seg": 0.12473, "aux.acc_seg": 71.25347, "loss": 0.3659, "time": 0.73391} -{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.23261, "decode.acc_seg": 73.17446, "aux.loss_seg": 0.12053, "aux.acc_seg": 71.37053, "loss": 0.35315, "time": 0.73494} -{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.23488, "decode.acc_seg": 71.89084, "aux.loss_seg": 0.12179, "aux.acc_seg": 70.07922, "loss": 0.35666, "time": 0.73458} -{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.22205, "decode.acc_seg": 72.42522, "aux.loss_seg": 0.11581, "aux.acc_seg": 70.69326, "loss": 0.33786, "time": 0.72709} -{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.25214, "decode.acc_seg": 72.84551, "aux.loss_seg": 0.12916, "aux.acc_seg": 70.99276, "loss": 0.3813, "time": 0.7249} -{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.22634, "decode.acc_seg": 72.98149, "aux.loss_seg": 0.11911, "aux.acc_seg": 71.14775, "loss": 0.34545, "time": 0.73123} -{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.23738, "decode.acc_seg": 72.65158, "aux.loss_seg": 0.12207, "aux.acc_seg": 70.71427, "loss": 0.35945, "time": 0.73166} -{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.24354, "decode.acc_seg": 72.80864, "aux.loss_seg": 0.12536, "aux.acc_seg": 71.03489, "loss": 0.36889, "time": 0.7352} -{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.23133, "decode.acc_seg": 73.6079, "aux.loss_seg": 0.12126, "aux.acc_seg": 71.73027, "loss": 0.35259, "time": 0.74053} -{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24979, "decode.acc_seg": 74.13312, "aux.loss_seg": 0.12667, "aux.acc_seg": 72.45683, "loss": 0.37646, "time": 0.73271} -{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.24151, "decode.acc_seg": 73.36436, "aux.loss_seg": 0.12365, "aux.acc_seg": 71.65582, "loss": 0.36515, "time": 0.73211} -{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.24919, "decode.acc_seg": 72.53354, "aux.loss_seg": 0.12921, "aux.acc_seg": 70.65779, "loss": 0.37839, "time": 0.7348} -{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 26851, "data_time": 0.245, "decode.loss_seg": 0.23841, "decode.acc_seg": 72.69028, "aux.loss_seg": 0.12371, "aux.acc_seg": 70.92112, "loss": 0.36212, "time": 0.96785} -{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.23364, "decode.acc_seg": 72.94101, "aux.loss_seg": 0.12061, "aux.acc_seg": 71.18661, "loss": 0.35425, "time": 0.72961} -{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.23818, "decode.acc_seg": 72.57101, "aux.loss_seg": 0.12497, "aux.acc_seg": 70.75574, "loss": 0.36314, "time": 0.725} -{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.23673, "decode.acc_seg": 71.37463, "aux.loss_seg": 0.12213, "aux.acc_seg": 69.75807, "loss": 0.35886, "time": 0.72681} -{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.22324, "decode.acc_seg": 71.66439, "aux.loss_seg": 0.11654, "aux.acc_seg": 69.91045, "loss": 0.33978, "time": 0.73017} -{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.23414, "decode.acc_seg": 73.08831, "aux.loss_seg": 0.12157, "aux.acc_seg": 71.42235, "loss": 0.35571, "time": 0.73699} -{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.2244, "decode.acc_seg": 73.30906, "aux.loss_seg": 0.11702, "aux.acc_seg": 71.66547, "loss": 0.34143, "time": 0.73271} -{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.23139, "decode.acc_seg": 73.71573, "aux.loss_seg": 0.12074, "aux.acc_seg": 71.90956, "loss": 0.35213, "time": 0.73861} -{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.22868, "decode.acc_seg": 73.52265, "aux.loss_seg": 0.1182, "aux.acc_seg": 71.89137, "loss": 0.34688, "time": 0.73233} -{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.2318, "decode.acc_seg": 72.87218, "aux.loss_seg": 0.12087, "aux.acc_seg": 71.142, "loss": 0.35268, "time": 0.73306} -{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.23798, "decode.acc_seg": 73.01475, "aux.loss_seg": 0.12282, "aux.acc_seg": 71.29798, "loss": 0.3608, "time": 0.73594} -{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.24766, "decode.acc_seg": 73.27594, "aux.loss_seg": 0.12487, "aux.acc_seg": 71.50679, "loss": 0.37253, "time": 0.73029} -{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.23303, "decode.acc_seg": 73.81673, "aux.loss_seg": 0.12156, "aux.acc_seg": 71.95637, "loss": 0.35459, "time": 0.72807} -{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.24637, "decode.acc_seg": 73.45579, "aux.loss_seg": 0.12577, "aux.acc_seg": 71.70492, "loss": 0.37214, "time": 0.72735} -{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24878, "decode.acc_seg": 73.69432, "aux.loss_seg": 0.12916, "aux.acc_seg": 71.74415, "loss": 0.37794, "time": 0.73596} -{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.23313, "decode.acc_seg": 72.19693, "aux.loss_seg": 0.12328, "aux.acc_seg": 70.08731, "loss": 0.35641, "time": 0.73208} -{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.24597, "decode.acc_seg": 72.24806, "aux.loss_seg": 0.12672, "aux.acc_seg": 70.29606, "loss": 0.37269, "time": 0.73179} -{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.61949, "aux.loss_seg": 0.12683, "aux.acc_seg": 70.72447, "loss": 0.37158, "time": 0.7326} -{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.2338, "decode.acc_seg": 73.32992, "aux.loss_seg": 0.12112, "aux.acc_seg": 71.51736, "loss": 0.35492, "time": 0.73501} -{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.22506, "decode.acc_seg": 73.09342, "aux.loss_seg": 0.1165, "aux.acc_seg": 71.38935, "loss": 0.34155, "time": 0.73032} -{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.2325, "decode.acc_seg": 72.34931, "aux.loss_seg": 0.1194, "aux.acc_seg": 70.63893, "loss": 0.35189, "time": 0.72554} -{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.23245, "decode.acc_seg": 73.59388, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.63263, "loss": 0.35471, "time": 0.72427} -{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.23457, "decode.acc_seg": 73.46081, "aux.loss_seg": 0.12478, "aux.acc_seg": 71.45553, "loss": 0.35935, "time": 0.73326} -{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.23724, "decode.acc_seg": 72.83464, "aux.loss_seg": 0.12466, "aux.acc_seg": 70.91449, "loss": 0.36189, "time": 0.73719} -{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.24374, "decode.acc_seg": 73.30327, "aux.loss_seg": 0.12488, "aux.acc_seg": 71.54604, "loss": 0.36861, "time": 0.7337} -{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 26851, "data_time": 0.24568, "decode.loss_seg": 0.23866, "decode.acc_seg": 72.75527, "aux.loss_seg": 0.12276, "aux.acc_seg": 70.9944, "loss": 0.36142, "time": 0.97311} -{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.22042, "decode.acc_seg": 73.06907, "aux.loss_seg": 0.11355, "aux.acc_seg": 71.48858, "loss": 0.33397, "time": 0.734} -{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.2295, "decode.acc_seg": 72.01064, "aux.loss_seg": 0.12057, "aux.acc_seg": 70.22997, "loss": 0.35007, "time": 0.73751} -{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22231, "decode.acc_seg": 73.51474, "aux.loss_seg": 0.11559, "aux.acc_seg": 71.93985, "loss": 0.3379, "time": 0.73042} -{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.24858, "decode.acc_seg": 72.88248, "aux.loss_seg": 0.12813, "aux.acc_seg": 71.0216, "loss": 0.37671, "time": 0.72772} -{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.24565, "decode.acc_seg": 74.02003, "aux.loss_seg": 0.12687, "aux.acc_seg": 72.29577, "loss": 0.37252, "time": 0.72534} -{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.2326, "decode.acc_seg": 73.50657, "aux.loss_seg": 0.12141, "aux.acc_seg": 71.68234, "loss": 0.35401, "time": 0.72733} -{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.24473, "decode.acc_seg": 71.92816, "aux.loss_seg": 0.12647, "aux.acc_seg": 70.0868, "loss": 0.37121, "time": 0.73391} -{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.21995, "decode.acc_seg": 73.59584, "aux.loss_seg": 0.1164, "aux.acc_seg": 71.68041, "loss": 0.33634, "time": 0.74143} -{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.22227, "decode.acc_seg": 73.34775, "aux.loss_seg": 0.11282, "aux.acc_seg": 71.74271, "loss": 0.33508, "time": 0.73545} -{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.23966, "decode.acc_seg": 73.14776, "aux.loss_seg": 0.12406, "aux.acc_seg": 71.36613, "loss": 0.36372, "time": 0.73817} -{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22919, "decode.acc_seg": 73.88785, "aux.loss_seg": 0.11954, "aux.acc_seg": 72.07191, "loss": 0.34873, "time": 0.73857} -{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.23304, "decode.acc_seg": 73.65447, "aux.loss_seg": 0.12084, "aux.acc_seg": 71.95319, "loss": 0.35388, "time": 0.73876} -{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.23759, "decode.acc_seg": 72.71737, "aux.loss_seg": 0.12101, "aux.acc_seg": 70.98684, "loss": 0.3586, "time": 0.7339} -{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.2381, "decode.acc_seg": 71.74979, "aux.loss_seg": 0.12507, "aux.acc_seg": 69.78209, "loss": 0.36317, "time": 0.733} -{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.22917, "decode.acc_seg": 72.03767, "aux.loss_seg": 0.11804, "aux.acc_seg": 70.35125, "loss": 0.34721, "time": 0.72391} -{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.22841, "decode.acc_seg": 72.54342, "aux.loss_seg": 0.11629, "aux.acc_seg": 70.96524, "loss": 0.34469, "time": 0.72929} -{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.25641, "decode.acc_seg": 71.61836, "aux.loss_seg": 0.13023, "aux.acc_seg": 69.75143, "loss": 0.38664, "time": 0.73211} -{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.2421, "decode.acc_seg": 72.05647, "aux.loss_seg": 0.1249, "aux.acc_seg": 70.27957, "loss": 0.367, "time": 0.7325} -{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.23246, "decode.acc_seg": 72.8984, "aux.loss_seg": 0.1219, "aux.acc_seg": 71.04996, "loss": 0.35436, "time": 0.73085} -{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.24211, "decode.acc_seg": 72.91581, "aux.loss_seg": 0.12427, "aux.acc_seg": 71.14546, "loss": 0.36638, "time": 0.72769} -{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.24438, "decode.acc_seg": 72.87882, "aux.loss_seg": 0.12586, "aux.acc_seg": 71.0311, "loss": 0.37025, "time": 0.72912} -{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.22347, "decode.acc_seg": 73.30748, "aux.loss_seg": 0.1152, "aux.acc_seg": 71.47112, "loss": 0.33867, "time": 0.73478} -{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.23699, "decode.acc_seg": 71.49374, "aux.loss_seg": 0.1225, "aux.acc_seg": 69.69635, "loss": 0.35949, "time": 0.72823} -{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.23834, "decode.acc_seg": 71.15247, "aux.loss_seg": 0.12254, "aux.acc_seg": 69.39642, "loss": 0.36089, "time": 0.73637} -{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 26851, "data_time": 0.24602, "decode.loss_seg": 0.25573, "decode.acc_seg": 73.5277, "aux.loss_seg": 0.13298, "aux.acc_seg": 71.46324, "loss": 0.38871, "time": 0.9713} -{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.22976, "decode.acc_seg": 73.29613, "aux.loss_seg": 0.11763, "aux.acc_seg": 71.62117, "loss": 0.34739, "time": 0.72934} -{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.23248, "decode.acc_seg": 72.71451, "aux.loss_seg": 0.12182, "aux.acc_seg": 70.82368, "loss": 0.3543, "time": 0.72712} -{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.21682, "decode.acc_seg": 73.60992, "aux.loss_seg": 0.11322, "aux.acc_seg": 71.82423, "loss": 0.33004, "time": 0.72704} -{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.23752, "decode.acc_seg": 72.9431, "aux.loss_seg": 0.123, "aux.acc_seg": 71.15808, "loss": 0.36052, "time": 0.73033} -{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.24238, "decode.acc_seg": 73.98488, "aux.loss_seg": 0.12685, "aux.acc_seg": 72.00573, "loss": 0.36923, "time": 0.73405} -{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.25727, "decode.acc_seg": 74.74405, "aux.loss_seg": 0.13118, "aux.acc_seg": 72.94931, "loss": 0.38845, "time": 0.7247} -{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.22166, "decode.acc_seg": 72.43724, "aux.loss_seg": 0.11485, "aux.acc_seg": 70.74688, "loss": 0.33651, "time": 0.73106} -{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.23282, "decode.acc_seg": 74.73904, "aux.loss_seg": 0.12031, "aux.acc_seg": 72.82357, "loss": 0.35313, "time": 0.72569} -{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.23406, "decode.acc_seg": 73.5228, "aux.loss_seg": 0.12302, "aux.acc_seg": 71.73975, "loss": 0.35707, "time": 0.72624} -{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.23776, "decode.acc_seg": 71.84099, "aux.loss_seg": 0.1229, "aux.acc_seg": 69.94927, "loss": 0.36065, "time": 0.72871} -{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.21925, "decode.acc_seg": 71.48595, "aux.loss_seg": 0.11317, "aux.acc_seg": 69.85597, "loss": 0.33242, "time": 0.72876} -{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.23173, "decode.acc_seg": 73.65553, "aux.loss_seg": 0.11928, "aux.acc_seg": 72.11188, "loss": 0.35101, "time": 0.73686} -{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.23019, "decode.acc_seg": 73.68974, "aux.loss_seg": 0.12195, "aux.acc_seg": 71.78391, "loss": 0.35214, "time": 0.73474} -{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.23204, "decode.acc_seg": 74.34892, "aux.loss_seg": 0.12205, "aux.acc_seg": 72.51326, "loss": 0.35409, "time": 0.73219} -{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.22792, "decode.acc_seg": 72.03627, "aux.loss_seg": 0.11911, "aux.acc_seg": 70.26688, "loss": 0.34703, "time": 0.72932} -{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.23299, "decode.acc_seg": 72.12833, "aux.loss_seg": 0.1222, "aux.acc_seg": 70.27686, "loss": 0.35519, "time": 0.73006} -{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.23676, "decode.acc_seg": 73.44365, "aux.loss_seg": 0.12185, "aux.acc_seg": 71.79188, "loss": 0.35861, "time": 0.73447} -{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.22698, "decode.acc_seg": 73.04178, "aux.loss_seg": 0.11666, "aux.acc_seg": 71.33665, "loss": 0.34365, "time": 0.72865} -{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.24808, "decode.acc_seg": 73.64265, "aux.loss_seg": 0.12614, "aux.acc_seg": 71.88705, "loss": 0.37422, "time": 0.73366} -{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.23169, "decode.acc_seg": 73.37812, "aux.loss_seg": 0.11892, "aux.acc_seg": 71.74833, "loss": 0.35061, "time": 0.73208} -{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.23368, "decode.acc_seg": 73.12268, "aux.loss_seg": 0.11968, "aux.acc_seg": 71.29797, "loss": 0.35336, "time": 0.74083} -{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.23779, "decode.acc_seg": 72.97048, "aux.loss_seg": 0.12353, "aux.acc_seg": 71.10236, "loss": 0.36132, "time": 0.73297} -{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.24452, "decode.acc_seg": 73.00842, "aux.loss_seg": 0.12701, "aux.acc_seg": 71.18584, "loss": 0.37153, "time": 0.72754} -{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.23806, "decode.acc_seg": 73.09634, "aux.loss_seg": 0.12378, "aux.acc_seg": 71.36037, "loss": 0.36184, "time": 0.72608} -{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.24211, "decode.acc_seg": 73.66841, "aux.loss_seg": 0.12585, "aux.acc_seg": 71.86088, "loss": 0.36796, "time": 0.72877} -{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 26851, "data_time": 0.25066, "decode.loss_seg": 0.2524, "decode.acc_seg": 73.39199, "aux.loss_seg": 0.13021, "aux.acc_seg": 71.54015, "loss": 0.38261, "time": 0.96995} -{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.22706, "decode.acc_seg": 73.24313, "aux.loss_seg": 0.11727, "aux.acc_seg": 71.61555, "loss": 0.34432, "time": 0.73334} -{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.22685, "decode.acc_seg": 74.34699, "aux.loss_seg": 0.11686, "aux.acc_seg": 72.54096, "loss": 0.34371, "time": 0.73693} -{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.22904, "decode.acc_seg": 73.80226, "aux.loss_seg": 0.11713, "aux.acc_seg": 72.24732, "loss": 0.34617, "time": 0.73204} -{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.22417, "decode.acc_seg": 74.42402, "aux.loss_seg": 0.11629, "aux.acc_seg": 72.60244, "loss": 0.34046, "time": 0.73204} -{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.22693, "decode.acc_seg": 72.53202, "aux.loss_seg": 0.11771, "aux.acc_seg": 70.7303, "loss": 0.34465, "time": 0.72733} -{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.2312, "decode.acc_seg": 72.83199, "aux.loss_seg": 0.1229, "aux.acc_seg": 70.8687, "loss": 0.3541, "time": 0.72483} -{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.22914, "decode.acc_seg": 74.74727, "aux.loss_seg": 0.11983, "aux.acc_seg": 72.97221, "loss": 0.34897, "time": 0.72713} -{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.22932, "decode.acc_seg": 73.50084, "aux.loss_seg": 0.11846, "aux.acc_seg": 71.71892, "loss": 0.34777, "time": 0.73136} -{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.225, "decode.acc_seg": 73.12289, "aux.loss_seg": 0.11811, "aux.acc_seg": 71.30724, "loss": 0.3431, "time": 0.72938} -{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.2284, "decode.acc_seg": 73.72858, "aux.loss_seg": 0.11854, "aux.acc_seg": 72.07487, "loss": 0.34694, "time": 0.73311} -{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.21977, "decode.acc_seg": 74.4774, "aux.loss_seg": 0.11412, "aux.acc_seg": 72.81126, "loss": 0.33389, "time": 0.72959} -{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.22837, "decode.acc_seg": 73.67486, "aux.loss_seg": 0.11787, "aux.acc_seg": 71.9674, "loss": 0.34624, "time": 0.73425} -{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.2207, "decode.acc_seg": 74.22864, "aux.loss_seg": 0.11752, "aux.acc_seg": 72.38828, "loss": 0.33822, "time": 0.7266} -{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.22748, "decode.acc_seg": 73.43112, "aux.loss_seg": 0.1177, "aux.acc_seg": 71.66674, "loss": 0.34519, "time": 0.72473} -{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.23474, "decode.acc_seg": 73.95337, "aux.loss_seg": 0.12148, "aux.acc_seg": 72.05267, "loss": 0.35622, "time": 0.73075} -{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.23869, "decode.acc_seg": 72.29032, "aux.loss_seg": 0.12347, "aux.acc_seg": 70.49849, "loss": 0.36216, "time": 0.7317} -{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.23263, "decode.acc_seg": 73.024, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.13034, "loss": 0.35489, "time": 0.73216} -{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.24787, "decode.acc_seg": 73.07156, "aux.loss_seg": 0.12406, "aux.acc_seg": 71.42545, "loss": 0.37193, "time": 0.73424} -{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.2362, "decode.acc_seg": 73.08955, "aux.loss_seg": 0.12273, "aux.acc_seg": 71.33101, "loss": 0.35894, "time": 0.73344} -{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.22832, "decode.acc_seg": 74.07423, "aux.loss_seg": 0.11886, "aux.acc_seg": 72.38439, "loss": 0.34717, "time": 0.73521} -{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.22324, "decode.acc_seg": 74.21707, "aux.loss_seg": 0.11919, "aux.acc_seg": 72.46996, "loss": 0.34243, "time": 0.72948} -{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.23629, "decode.acc_seg": 73.2929, "aux.loss_seg": 0.12302, "aux.acc_seg": 71.58935, "loss": 0.3593, "time": 0.7262} -{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.2269, "decode.acc_seg": 72.82864, "aux.loss_seg": 0.11957, "aux.acc_seg": 70.94278, "loss": 0.34647, "time": 0.72919} -{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.23339, "decode.acc_seg": 73.16316, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.18727, "loss": 0.35796, "time": 0.73131} -{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 26851, "data_time": 0.25085, "decode.loss_seg": 0.21636, "decode.acc_seg": 73.43501, "aux.loss_seg": 0.11298, "aux.acc_seg": 71.65941, "loss": 0.32934, "time": 0.97158} -{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.2423, "decode.acc_seg": 72.70386, "aux.loss_seg": 0.1253, "aux.acc_seg": 70.92536, "loss": 0.3676, "time": 0.73359} -{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 26851, "data_time": 0.00942, "decode.loss_seg": 0.22686, "decode.acc_seg": 74.3936, "aux.loss_seg": 0.1182, "aux.acc_seg": 72.60123, "loss": 0.34506, "time": 0.73354} -{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.22378, "decode.acc_seg": 73.11733, "aux.loss_seg": 0.11683, "aux.acc_seg": 71.28407, "loss": 0.34061, "time": 0.7315} -{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22285, "decode.acc_seg": 73.81993, "aux.loss_seg": 0.115, "aux.acc_seg": 72.13861, "loss": 0.33785, "time": 0.73024} -{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.2341, "decode.acc_seg": 73.19262, "aux.loss_seg": 0.12366, "aux.acc_seg": 71.20827, "loss": 0.35776, "time": 0.73122} -{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.23023, "decode.acc_seg": 73.154, "aux.loss_seg": 0.11974, "aux.acc_seg": 71.43007, "loss": 0.34997, "time": 0.73372} -{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.23032, "decode.acc_seg": 73.50724, "aux.loss_seg": 0.12067, "aux.acc_seg": 71.84558, "loss": 0.35099, "time": 0.7292} -{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.21982, "decode.acc_seg": 73.352, "aux.loss_seg": 0.11679, "aux.acc_seg": 71.43506, "loss": 0.3366, "time": 0.72974} -{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.23621, "decode.acc_seg": 73.05745, "aux.loss_seg": 0.12105, "aux.acc_seg": 71.33614, "loss": 0.35726, "time": 0.72831} -{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.22111, "decode.acc_seg": 74.01057, "aux.loss_seg": 0.11565, "aux.acc_seg": 72.27766, "loss": 0.33675, "time": 0.72884} -{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.23293, "decode.acc_seg": 71.44637, "aux.loss_seg": 0.1203, "aux.acc_seg": 69.76157, "loss": 0.35323, "time": 0.73447} -{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.22504, "decode.acc_seg": 72.56367, "aux.loss_seg": 0.11681, "aux.acc_seg": 70.93476, "loss": 0.34185, "time": 0.74405} -{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 26851, "data_time": 0.00899, "decode.loss_seg": 0.22966, "decode.acc_seg": 73.56674, "aux.loss_seg": 0.11979, "aux.acc_seg": 71.8536, "loss": 0.34945, "time": 0.73334} -{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.23443, "decode.acc_seg": 74.58391, "aux.loss_seg": 0.12041, "aux.acc_seg": 72.84253, "loss": 0.35484, "time": 0.73232} -{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.24397, "decode.acc_seg": 71.8199, "aux.loss_seg": 0.12557, "aux.acc_seg": 70.03851, "loss": 0.36954, "time": 0.73234} -{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.22744, "decode.acc_seg": 72.39879, "aux.loss_seg": 0.1178, "aux.acc_seg": 70.62236, "loss": 0.34524, "time": 0.7282} -{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.23435, "decode.acc_seg": 73.73334, "aux.loss_seg": 0.12517, "aux.acc_seg": 71.75575, "loss": 0.35952, "time": 0.73117} -{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.24238, "decode.acc_seg": 73.70657, "aux.loss_seg": 0.12584, "aux.acc_seg": 71.85763, "loss": 0.36823, "time": 0.73441} -{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21978, "decode.acc_seg": 73.70659, "aux.loss_seg": 0.11845, "aux.acc_seg": 71.58175, "loss": 0.33823, "time": 0.73261} -{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.22702, "decode.acc_seg": 72.23316, "aux.loss_seg": 0.11824, "aux.acc_seg": 70.50243, "loss": 0.34526, "time": 0.73453} -{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.23182, "decode.acc_seg": 74.01346, "aux.loss_seg": 0.11972, "aux.acc_seg": 72.30944, "loss": 0.35154, "time": 0.73368} -{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.22675, "decode.acc_seg": 73.60581, "aux.loss_seg": 0.11836, "aux.acc_seg": 71.80717, "loss": 0.34511, "time": 0.7318} -{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.23814, "decode.acc_seg": 73.38234, "aux.loss_seg": 0.12461, "aux.acc_seg": 71.60365, "loss": 0.36275, "time": 0.72718} -{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.24012, "decode.acc_seg": 73.27106, "aux.loss_seg": 0.12565, "aux.acc_seg": 71.39258, "loss": 0.36577, "time": 0.72849} -{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 26851, "data_time": 0.25404, "decode.loss_seg": 0.23023, "decode.acc_seg": 74.80638, "aux.loss_seg": 0.12082, "aux.acc_seg": 73.13034, "loss": 0.35104, "time": 0.975} -{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.22614, "decode.acc_seg": 73.06621, "aux.loss_seg": 0.12079, "aux.acc_seg": 71.08258, "loss": 0.34694, "time": 0.73255} -{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.22936, "decode.acc_seg": 73.14757, "aux.loss_seg": 0.12069, "aux.acc_seg": 71.34424, "loss": 0.35005, "time": 0.73401} -{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 26851, "data_time": 0.01003, "decode.loss_seg": 0.21557, "decode.acc_seg": 74.04762, "aux.loss_seg": 0.11334, "aux.acc_seg": 72.17227, "loss": 0.32891, "time": 0.73244} -{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.22545, "decode.acc_seg": 73.13663, "aux.loss_seg": 0.11839, "aux.acc_seg": 71.32066, "loss": 0.34384, "time": 0.73667} -{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 26851, "data_time": 0.00908, "decode.loss_seg": 0.22158, "decode.acc_seg": 73.33798, "aux.loss_seg": 0.11371, "aux.acc_seg": 71.84053, "loss": 0.33529, "time": 0.73727} -{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.22111, "decode.acc_seg": 73.29773, "aux.loss_seg": 0.11545, "aux.acc_seg": 71.52034, "loss": 0.33655, "time": 0.73485} -{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.21888, "decode.acc_seg": 73.38606, "aux.loss_seg": 0.11438, "aux.acc_seg": 71.68461, "loss": 0.33326, "time": 0.72899} -{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.22536, "decode.acc_seg": 74.28182, "aux.loss_seg": 0.11828, "aux.acc_seg": 72.56251, "loss": 0.34364, "time": 0.72876} -{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.22887, "decode.acc_seg": 72.9144, "aux.loss_seg": 0.11785, "aux.acc_seg": 71.17421, "loss": 0.34672, "time": 0.73282} -{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.22538, "decode.acc_seg": 72.6358, "aux.loss_seg": 0.1191, "aux.acc_seg": 70.67491, "loss": 0.34448, "time": 0.73489} -{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 26851, "data_time": 0.00937, "decode.loss_seg": 0.22413, "decode.acc_seg": 72.65303, "aux.loss_seg": 0.11594, "aux.acc_seg": 70.87773, "loss": 0.34007, "time": 0.74286} -{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 26851, "data_time": 0.00931, "decode.loss_seg": 0.21413, "decode.acc_seg": 74.64659, "aux.loss_seg": 0.11287, "aux.acc_seg": 72.83554, "loss": 0.327, "time": 0.73461} -{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.23499, "decode.acc_seg": 73.61712, "aux.loss_seg": 0.11962, "aux.acc_seg": 71.9962, "loss": 0.35461, "time": 0.72828} -{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.24772, "decode.acc_seg": 73.85621, "aux.loss_seg": 0.12874, "aux.acc_seg": 72.00503, "loss": 0.37646, "time": 0.73082} -{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 26851, "data_time": 0.00921, "decode.loss_seg": 0.22341, "decode.acc_seg": 73.49232, "aux.loss_seg": 0.11717, "aux.acc_seg": 71.62291, "loss": 0.34059, "time": 0.72831} -{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.22782, "decode.acc_seg": 72.97631, "aux.loss_seg": 0.11947, "aux.acc_seg": 71.05682, "loss": 0.34729, "time": 0.73341} -{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.21605, "decode.acc_seg": 72.87764, "aux.loss_seg": 0.11534, "aux.acc_seg": 70.92423, "loss": 0.33139, "time": 0.73762} -{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.21675, "decode.acc_seg": 73.4068, "aux.loss_seg": 0.11224, "aux.acc_seg": 71.76431, "loss": 0.32899, "time": 0.74304} -{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.22398, "decode.acc_seg": 73.3472, "aux.loss_seg": 0.11595, "aux.acc_seg": 71.62108, "loss": 0.33993, "time": 0.7329} -{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22875, "decode.acc_seg": 72.80543, "aux.loss_seg": 0.12075, "aux.acc_seg": 70.87057, "loss": 0.3495, "time": 0.73696} -{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22536, "decode.acc_seg": 72.67494, "aux.loss_seg": 0.118, "aux.acc_seg": 70.90152, "loss": 0.34336, "time": 0.72856} -{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.21902, "decode.acc_seg": 72.7472, "aux.loss_seg": 0.11616, "aux.acc_seg": 70.86149, "loss": 0.33517, "time": 0.72613} -{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 26851, "data_time": 0.00873, "decode.loss_seg": 0.24022, "decode.acc_seg": 73.46727, "aux.loss_seg": 0.12619, "aux.acc_seg": 71.57112, "loss": 0.36642, "time": 0.73478} -{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.22202, "decode.acc_seg": 73.53818, "aux.loss_seg": 0.11639, "aux.acc_seg": 71.78082, "loss": 0.33841, "time": 0.728} -{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 26851, "data_time": 0.25061, "decode.loss_seg": 0.22718, "decode.acc_seg": 72.70868, "aux.loss_seg": 0.11676, "aux.acc_seg": 71.04796, "loss": 0.34394, "time": 0.97456} -{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22811, "decode.acc_seg": 72.6988, "aux.loss_seg": 0.11957, "aux.acc_seg": 70.84795, "loss": 0.34768, "time": 0.7335} -{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.21985, "decode.acc_seg": 74.73262, "aux.loss_seg": 0.1156, "aux.acc_seg": 72.96885, "loss": 0.33545, "time": 0.73083} -{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.22437, "decode.acc_seg": 73.49844, "aux.loss_seg": 0.11664, "aux.acc_seg": 71.62022, "loss": 0.34101, "time": 0.73804} -{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.2163, "decode.acc_seg": 73.15682, "aux.loss_seg": 0.114, "aux.acc_seg": 71.41256, "loss": 0.3303, "time": 0.73738} -{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.23212, "decode.acc_seg": 73.44191, "aux.loss_seg": 0.12107, "aux.acc_seg": 71.68776, "loss": 0.35319, "time": 0.73358} -{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.22129, "decode.acc_seg": 75.71938, "aux.loss_seg": 0.11572, "aux.acc_seg": 73.9036, "loss": 0.33701, "time": 0.72695} -{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.22076, "decode.acc_seg": 72.37847, "aux.loss_seg": 0.11708, "aux.acc_seg": 70.45887, "loss": 0.33784, "time": 0.72632} -{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.21659, "decode.acc_seg": 74.76973, "aux.loss_seg": 0.11218, "aux.acc_seg": 73.12287, "loss": 0.32877, "time": 0.72809} -{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.22278, "decode.acc_seg": 74.24344, "aux.loss_seg": 0.11679, "aux.acc_seg": 72.55108, "loss": 0.33957, "time": 0.72827} -{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.22934, "decode.acc_seg": 73.63266, "aux.loss_seg": 0.11912, "aux.acc_seg": 71.86947, "loss": 0.34846, "time": 0.73037} -{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 26851, "data_time": 0.00908, "decode.loss_seg": 0.22669, "decode.acc_seg": 73.73842, "aux.loss_seg": 0.11877, "aux.acc_seg": 71.92197, "loss": 0.34546, "time": 0.73399} -{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 26851, "data_time": 0.00925, "decode.loss_seg": 0.23044, "decode.acc_seg": 72.97927, "aux.loss_seg": 0.11827, "aux.acc_seg": 71.30276, "loss": 0.34871, "time": 0.73543} -{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.21158, "decode.acc_seg": 72.96674, "aux.loss_seg": 0.10912, "aux.acc_seg": 71.49649, "loss": 0.3207, "time": 0.73252} -{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21359, "decode.acc_seg": 72.59731, "aux.loss_seg": 0.11104, "aux.acc_seg": 70.92251, "loss": 0.32463, "time": 0.73531} -{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.23492, "decode.acc_seg": 71.86533, "aux.loss_seg": 0.1219, "aux.acc_seg": 70.02356, "loss": 0.35681, "time": 0.73434} -{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.21731, "decode.acc_seg": 73.40046, "aux.loss_seg": 0.1152, "aux.acc_seg": 71.63609, "loss": 0.33251, "time": 0.73191} -{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.22639, "decode.acc_seg": 74.65693, "aux.loss_seg": 0.11982, "aux.acc_seg": 72.70748, "loss": 0.34621, "time": 0.7269} -{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.22561, "decode.acc_seg": 73.28395, "aux.loss_seg": 0.11695, "aux.acc_seg": 71.68425, "loss": 0.34256, "time": 0.72549} -{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.2268, "decode.acc_seg": 73.75186, "aux.loss_seg": 0.1203, "aux.acc_seg": 71.97941, "loss": 0.3471, "time": 0.72896} -{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.22039, "decode.acc_seg": 73.14982, "aux.loss_seg": 0.11587, "aux.acc_seg": 71.42922, "loss": 0.33626, "time": 0.73429} -{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.21772, "decode.acc_seg": 73.57953, "aux.loss_seg": 0.11495, "aux.acc_seg": 71.79246, "loss": 0.33267, "time": 0.7345} -{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.2169, "decode.acc_seg": 73.18274, "aux.loss_seg": 0.1152, "aux.acc_seg": 71.42223, "loss": 0.33209, "time": 0.73398} -{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.24461, "decode.acc_seg": 73.26187, "aux.loss_seg": 0.128, "aux.acc_seg": 71.36543, "loss": 0.37262, "time": 0.72707} -{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.22893, "decode.acc_seg": 73.27355, "aux.loss_seg": 0.11771, "aux.acc_seg": 71.63809, "loss": 0.34664, "time": 0.72909} -{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.22352, "decode.acc_seg": 72.91715, "aux.loss_seg": 0.11505, "aux.acc_seg": 71.22668, "loss": 0.33856, "time": 0.73568} -{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 26851, "data_time": 0.25275, "decode.loss_seg": 0.21945, "decode.acc_seg": 72.04532, "aux.loss_seg": 0.11531, "aux.acc_seg": 70.24041, "loss": 0.33476, "time": 0.97459} -{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.22047, "decode.acc_seg": 73.25166, "aux.loss_seg": 0.11461, "aux.acc_seg": 71.59674, "loss": 0.33508, "time": 0.73267} -{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.22681, "decode.acc_seg": 72.97906, "aux.loss_seg": 0.1188, "aux.acc_seg": 71.12848, "loss": 0.34561, "time": 0.73613} -{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.21559, "decode.acc_seg": 72.81424, "aux.loss_seg": 0.11174, "aux.acc_seg": 71.25976, "loss": 0.32732, "time": 0.7321} -{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.21484, "decode.acc_seg": 72.41648, "aux.loss_seg": 0.11293, "aux.acc_seg": 70.56943, "loss": 0.32777, "time": 0.73592} -{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.23266, "decode.acc_seg": 74.68461, "aux.loss_seg": 0.12116, "aux.acc_seg": 72.88297, "loss": 0.35382, "time": 0.7344} -{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.22022, "decode.acc_seg": 73.58982, "aux.loss_seg": 0.11665, "aux.acc_seg": 71.76786, "loss": 0.33688, "time": 0.73694} -{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.23085, "decode.acc_seg": 74.3222, "aux.loss_seg": 0.11976, "aux.acc_seg": 72.49555, "loss": 0.35061, "time": 0.73499} -{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.22523, "decode.acc_seg": 73.05904, "aux.loss_seg": 0.11902, "aux.acc_seg": 71.27749, "loss": 0.34425, "time": 0.73058} -{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.21791, "decode.acc_seg": 74.70376, "aux.loss_seg": 0.1136, "aux.acc_seg": 73.05553, "loss": 0.33151, "time": 0.7251} -{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.23525, "decode.acc_seg": 74.4419, "aux.loss_seg": 0.12251, "aux.acc_seg": 72.52108, "loss": 0.35776, "time": 0.72698} -{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21795, "decode.acc_seg": 72.52313, "aux.loss_seg": 0.11538, "aux.acc_seg": 70.7204, "loss": 0.33332, "time": 0.73052} -{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.23654, "decode.acc_seg": 73.28467, "aux.loss_seg": 0.12177, "aux.acc_seg": 71.60929, "loss": 0.35831, "time": 0.73092} -{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.23984, "decode.acc_seg": 73.91777, "aux.loss_seg": 0.12481, "aux.acc_seg": 72.10363, "loss": 0.36465, "time": 0.73475} -{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.22749, "decode.acc_seg": 72.63515, "aux.loss_seg": 0.11836, "aux.acc_seg": 70.81108, "loss": 0.34584, "time": 0.73171} -{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.21952, "decode.acc_seg": 72.30177, "aux.loss_seg": 0.11455, "aux.acc_seg": 70.63271, "loss": 0.33406, "time": 0.73582} -{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.21773, "decode.acc_seg": 73.28578, "aux.loss_seg": 0.11362, "aux.acc_seg": 71.67993, "loss": 0.33135, "time": 0.72838} -{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.20692, "decode.acc_seg": 73.00098, "aux.loss_seg": 0.10895, "aux.acc_seg": 71.29447, "loss": 0.31587, "time": 0.72446} -{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22728, "decode.acc_seg": 72.47044, "aux.loss_seg": 0.11684, "aux.acc_seg": 70.77667, "loss": 0.34412, "time": 0.72946} -{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.2351, "decode.acc_seg": 73.38155, "aux.loss_seg": 0.11876, "aux.acc_seg": 71.84477, "loss": 0.35386, "time": 0.73136} -{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.22372, "decode.acc_seg": 72.39723, "aux.loss_seg": 0.11701, "aux.acc_seg": 70.63694, "loss": 0.34073, "time": 0.73035} -{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.22657, "decode.acc_seg": 72.89571, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.19807, "loss": 0.34529, "time": 0.73082} -{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.21221, "decode.acc_seg": 74.29836, "aux.loss_seg": 0.11014, "aux.acc_seg": 72.65333, "loss": 0.32235, "time": 0.7327} -{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.22777, "decode.acc_seg": 73.01358, "aux.loss_seg": 0.12231, "aux.acc_seg": 71.01692, "loss": 0.35008, "time": 0.73582} -{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.22051, "decode.acc_seg": 72.68801, "aux.loss_seg": 0.11545, "aux.acc_seg": 70.88511, "loss": 0.33596, "time": 0.7358} -{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 26851, "data_time": 0.24726, "decode.loss_seg": 0.21482, "decode.acc_seg": 72.95637, "aux.loss_seg": 0.11339, "aux.acc_seg": 71.18224, "loss": 0.32821, "time": 0.96446} -{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.21241, "decode.acc_seg": 75.24855, "aux.loss_seg": 0.11138, "aux.acc_seg": 73.50866, "loss": 0.32379, "time": 0.7303} -{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 26851, "data_time": 0.00989, "decode.loss_seg": 0.20661, "decode.acc_seg": 73.23099, "aux.loss_seg": 0.11064, "aux.acc_seg": 71.36271, "loss": 0.31725, "time": 0.7392} -{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.23043, "decode.acc_seg": 73.25585, "aux.loss_seg": 0.11812, "aux.acc_seg": 71.68908, "loss": 0.34855, "time": 0.73415} -{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.22574, "decode.acc_seg": 74.52008, "aux.loss_seg": 0.11775, "aux.acc_seg": 72.67075, "loss": 0.34349, "time": 0.73663} -{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.21991, "decode.acc_seg": 74.83677, "aux.loss_seg": 0.11575, "aux.acc_seg": 73.09614, "loss": 0.33566, "time": 0.73649} -{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.21804, "decode.acc_seg": 74.617, "aux.loss_seg": 0.1168, "aux.acc_seg": 72.7561, "loss": 0.33484, "time": 0.73501} -{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.2174, "decode.acc_seg": 73.83191, "aux.loss_seg": 0.11436, "aux.acc_seg": 71.96337, "loss": 0.33176, "time": 0.73763} -{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.22658, "decode.acc_seg": 73.76035, "aux.loss_seg": 0.11848, "aux.acc_seg": 72.02408, "loss": 0.34506, "time": 0.73857} -{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.22009, "decode.acc_seg": 73.30365, "aux.loss_seg": 0.11518, "aux.acc_seg": 71.53451, "loss": 0.33526, "time": 0.73542} -{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.22651, "decode.acc_seg": 73.91338, "aux.loss_seg": 0.11876, "aux.acc_seg": 71.91053, "loss": 0.34527, "time": 0.73345} -{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.21871, "decode.acc_seg": 74.32637, "aux.loss_seg": 0.11575, "aux.acc_seg": 72.51202, "loss": 0.33446, "time": 0.72639} -{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.21605, "decode.acc_seg": 75.14075, "aux.loss_seg": 0.11397, "aux.acc_seg": 73.33933, "loss": 0.33001, "time": 0.72724} -{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.23121, "decode.acc_seg": 72.49938, "aux.loss_seg": 0.11866, "aux.acc_seg": 70.81257, "loss": 0.34986, "time": 0.7349} -{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.21241, "decode.acc_seg": 73.26639, "aux.loss_seg": 0.11085, "aux.acc_seg": 71.51606, "loss": 0.32327, "time": 0.73619} -{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.22503, "decode.acc_seg": 74.90332, "aux.loss_seg": 0.11886, "aux.acc_seg": 73.0456, "loss": 0.34389, "time": 0.73396} -{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.21364, "decode.acc_seg": 74.89299, "aux.loss_seg": 0.11342, "aux.acc_seg": 73.0564, "loss": 0.32706, "time": 0.73194} -{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.2232, "decode.acc_seg": 73.30822, "aux.loss_seg": 0.11706, "aux.acc_seg": 71.40485, "loss": 0.34026, "time": 0.72911} -{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.22908, "decode.acc_seg": 73.24281, "aux.loss_seg": 0.11806, "aux.acc_seg": 71.53899, "loss": 0.34714, "time": 0.72675} -{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.2145, "decode.acc_seg": 73.00954, "aux.loss_seg": 0.11152, "aux.acc_seg": 71.36431, "loss": 0.32602, "time": 0.72957} -{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.22272, "decode.acc_seg": 72.6168, "aux.loss_seg": 0.11541, "aux.acc_seg": 70.78611, "loss": 0.33813, "time": 0.73426} -{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.21996, "decode.acc_seg": 72.85939, "aux.loss_seg": 0.11524, "aux.acc_seg": 70.99291, "loss": 0.3352, "time": 0.73256} -{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.21594, "decode.acc_seg": 72.92464, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.15469, "loss": 0.3299, "time": 0.73607} -{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.21492, "decode.acc_seg": 72.38277, "aux.loss_seg": 0.11401, "aux.acc_seg": 70.43094, "loss": 0.32893, "time": 0.73661} -{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.22173, "decode.acc_seg": 73.00934, "aux.loss_seg": 0.11656, "aux.acc_seg": 71.10539, "loss": 0.33829, "time": 0.73141} -{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4736, "mAcc": 0.5948, "aAcc": 0.8191, "IoU.wall": 0.7578, "IoU.building": 0.8165, "IoU.sky": 0.9387, "IoU.floor": 0.809, "IoU.tree": 0.7343, "IoU.ceiling": 0.8314, "IoU.road": 0.8208, "IoU.bed ": 0.8684, "IoU.windowpane": 0.5969, "IoU.grass": 0.6565, "IoU.cabinet": 0.583, "IoU.sidewalk": 0.6441, "IoU.person": 0.7777, "IoU.earth": 0.3516, "IoU.door": 0.4371, "IoU.table": 0.5701, "IoU.mountain": 0.5406, "IoU.plant": 0.5009, "IoU.curtain": 0.7029, "IoU.chair": 0.544, "IoU.car": 0.8208, "IoU.water": 0.5012, "IoU.painting": 0.6987, "IoU.sofa": 0.5692, "IoU.shelf": 0.4383, "IoU.house": 0.4747, "IoU.sea": 0.5114, "IoU.mirror": 0.6067, "IoU.rug": 0.6158, "IoU.field": 0.277, "IoU.armchair": 0.4131, "IoU.seat": 0.6354, "IoU.fence": 0.4518, "IoU.desk": 0.458, "IoU.rock": 0.3614, "IoU.wardrobe": 0.467, "IoU.lamp": 0.5914, "IoU.bathtub": 0.7336, "IoU.railing": 0.3576, "IoU.cushion": 0.5058, "IoU.base": 0.2734, "IoU.box": 0.2729, "IoU.column": 0.3736, "IoU.signboard": 0.366, "IoU.chest of drawers": 0.4131, "IoU.counter": 0.3272, "IoU.sand": 0.5264, "IoU.sink": 0.6926, "IoU.skyscraper": 0.5682, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6594, "IoU.grandstand": 0.4168, "IoU.path": 0.2205, "IoU.stairs": 0.3016, "IoU.runway": 0.6804, "IoU.case": 0.4677, "IoU.pool table": 0.9082, "IoU.pillow": 0.5482, "IoU.screen door": 0.6173, "IoU.stairway": 0.2665, "IoU.river": 0.1604, "IoU.bridge": 0.7084, "IoU.bookcase": 0.4422, "IoU.blind": NaN, "IoU.coffee table": 0.5244, "IoU.toilet": 0.8222, "IoU.flower": 0.3924, "IoU.book": 0.4531, "IoU.hill": 0.046, "IoU.bench": 0.4956, "IoU.countertop": 0.543, "IoU.stove": 0.7052, "IoU.palm": 0.502, "IoU.kitchen island": 0.3651, "IoU.computer": 0.6048, "IoU.swivel chair": 0.4625, "IoU.boat": 0.4361, "IoU.bar": 0.3978, "IoU.arcade machine": 0.6702, "IoU.hovel": 0.3457, "IoU.bus": 0.8225, "IoU.towel": 0.6143, "IoU.light": 0.5364, "IoU.truck": 0.2011, "IoU.tower": 0.121, "IoU.chandelier": 0.6537, "IoU.awning": 0.2138, "IoU.streetlight": 0.2041, "IoU.booth": 0.5619, "IoU.television receiver": NaN, "IoU.airplane": 0.5838, "IoU.dirt track": 0.0884, "IoU.apparel": 0.297, "IoU.pole": 0.1471, "IoU.land": 0.0488, "IoU.bannister": 0.1106, "IoU.escalator": 0.396, "IoU.ottoman": 0.3965, "IoU.bottle": NaN, "IoU.buffet": 0.4299, "IoU.poster": 0.2369, "IoU.stage": 0.2068, "IoU.van": 0.3794, "IoU.ship": 0.6051, "IoU.fountain": 0.3621, "IoU.conveyer belt": 0.7563, "IoU.canopy": 0.2874, "IoU.washer": 0.6631, "IoU.plaything": 0.1975, "IoU.swimming pool": 0.6913, "IoU.stool": 0.3636, "IoU.barrel": 0.4916, "IoU.basket": 0.2953, "IoU.waterfall": 0.5099, "IoU.tent": 0.8926, "IoU.bag": 0.1077, "IoU.minibike": 0.7403, "IoU.cradle": NaN, "IoU.oven": 0.2765, "IoU.ball": 0.463, "IoU.food": 0.5951, "IoU.step": 0.0847, "IoU.tank": 0.4349, "IoU.trade name": 0.1888, "IoU.microwave": 0.7012, "IoU.pot": 0.4692, "IoU.animal": NaN, "IoU.bicycle": 0.5323, "IoU.lake": 0.5035, "IoU.dishwasher": 0.49, "IoU.screen": 0.7652, "IoU.blanket": 0.2506, "IoU.sculpture": 0.5816, "IoU.hood": 0.6065, "IoU.sconce": 0.4013, "IoU.vase": 0.3467, "IoU.traffic light": 0.2865, "IoU.tray": 0.0653, "IoU.ashcan": 0.3553, "IoU.fan": 0.5775, "IoU.pier": 0.5112, "IoU.crt screen": 0.0052, "IoU.plate": 0.5553, "IoU.monitor": 0.0963, "IoU.bulletin board": 0.3564, "IoU.shower": 0.0, "IoU.radiator": 0.5359, "IoU.glass": 0.1256, "IoU.clock": 0.3771, "IoU.flag": 0.5033, "Acc.wall": 0.8724, "Acc.building": 0.9133, "Acc.sky": 0.973, "Acc.floor": 0.8917, "Acc.tree": 0.8507, "Acc.ceiling": 0.9179, "Acc.road": 0.9006, "Acc.bed ": 0.9485, "Acc.windowpane": 0.7865, "Acc.grass": 0.8491, "Acc.cabinet": 0.7271, "Acc.sidewalk": 0.8071, "Acc.person": 0.9052, "Acc.earth": 0.4567, "Acc.door": 0.5897, "Acc.table": 0.7293, "Acc.mountain": 0.7335, "Acc.plant": 0.6271, "Acc.curtain": 0.7909, "Acc.chair": 0.6818, "Acc.car": 0.8948, "Acc.water": 0.6583, "Acc.painting": 0.8624, "Acc.sofa": 0.742, "Acc.shelf": 0.6006, "Acc.house": 0.7224, "Acc.sea": 0.7717, "Acc.mirror": 0.7173, "Acc.rug": 0.723, "Acc.field": 0.4375, "Acc.armchair": 0.6323, "Acc.seat": 0.8183, "Acc.fence": 0.6104, "Acc.desk": 0.6306, "Acc.rock": 0.5532, "Acc.wardrobe": 0.6524, "Acc.lamp": 0.7254, "Acc.bathtub": 0.8188, "Acc.railing": 0.5254, "Acc.cushion": 0.6096, "Acc.base": 0.3673, "Acc.box": 0.3742, "Acc.column": 0.4539, "Acc.signboard": 0.5108, "Acc.chest of drawers": 0.5059, "Acc.counter": 0.4282, "Acc.sand": 0.7406, "Acc.sink": 0.7803, "Acc.skyscraper": 0.7088, "Acc.fireplace": NaN, "Acc.refrigerator": 0.806, "Acc.grandstand": 0.6999, "Acc.path": 0.3261, "Acc.stairs": 0.3922, "Acc.runway": 0.8872, "Acc.case": 0.5986, "Acc.pool table": 0.9624, "Acc.pillow": 0.7075, "Acc.screen door": 0.6676, "Acc.stairway": 0.3413, "Acc.river": 0.2697, "Acc.bridge": 0.8309, "Acc.bookcase": 0.5834, "Acc.blind": NaN, "Acc.coffee table": 0.7735, "Acc.toilet": 0.8809, "Acc.flower": 0.5854, "Acc.book": 0.6412, "Acc.hill": 0.0823, "Acc.bench": 0.6176, "Acc.countertop": 0.7436, "Acc.stove": 0.8456, "Acc.palm": 0.729, "Acc.kitchen island": 0.6579, "Acc.computer": 0.7128, "Acc.swivel chair": 0.6649, "Acc.boat": 0.4996, "Acc.bar": 0.5122, "Acc.arcade machine": 0.7351, "Acc.hovel": 0.3873, "Acc.bus": 0.9577, "Acc.towel": 0.784, "Acc.light": 0.6081, "Acc.truck": 0.2924, "Acc.tower": 0.2093, "Acc.chandelier": 0.8011, "Acc.awning": 0.2545, "Acc.streetlight": 0.2802, "Acc.booth": 0.6307, "Acc.television receiver": NaN, "Acc.airplane": 0.6658, "Acc.dirt track": 0.1554, "Acc.apparel": 0.4262, "Acc.pole": 0.1907, "Acc.land": 0.0738, "Acc.bannister": 0.1465, "Acc.escalator": 0.5012, "Acc.ottoman": 0.5263, "Acc.bottle": NaN, "Acc.buffet": 0.5238, "Acc.poster": 0.3512, "Acc.stage": 0.2684, "Acc.van": 0.6004, "Acc.ship": 0.9733, "Acc.fountain": 0.3763, "Acc.conveyer belt": 0.8756, "Acc.canopy": 0.3873, "Acc.washer": 0.7763, "Acc.plaything": 0.3573, "Acc.swimming pool": 0.7746, "Acc.stool": 0.4939, "Acc.barrel": 0.6588, "Acc.basket": 0.3622, "Acc.waterfall": 0.6903, "Acc.tent": 0.9832, "Acc.bag": 0.1255, "Acc.minibike": 0.8844, "Acc.cradle": NaN, "Acc.oven": 0.3924, "Acc.ball": 0.5213, "Acc.food": 0.7133, "Acc.step": 0.1106, "Acc.tank": 0.4993, "Acc.trade name": 0.2051, "Acc.microwave": 0.7955, "Acc.pot": 0.5135, "Acc.animal": NaN, "Acc.bicycle": 0.7553, "Acc.lake": 0.5747, "Acc.dishwasher": 0.6171, "Acc.screen": 0.9094, "Acc.blanket": 0.2871, "Acc.sculpture": 0.7809, "Acc.hood": 0.728, "Acc.sconce": 0.4773, "Acc.vase": 0.4622, "Acc.traffic light": 0.4075, "Acc.tray": 0.1159, "Acc.ashcan": 0.4499, "Acc.fan": 0.7608, "Acc.pier": 0.794, "Acc.crt screen": 0.0137, "Acc.plate": 0.7497, "Acc.monitor": 0.1612, "Acc.bulletin board": 0.505, "Acc.shower": 0.0, "Acc.radiator": 0.5864, "Acc.glass": 0.1345, "Acc.clock": 0.4395, "Acc.flag": 0.5588} -{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 26851, "data_time": 1.99214, "decode.loss_seg": 0.21915, "decode.acc_seg": 73.99997, "aux.loss_seg": 0.11699, "aux.acc_seg": 72.09562, "loss": 0.33615, "time": 2.71173} -{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20958, "decode.acc_seg": 74.15641, "aux.loss_seg": 0.11165, "aux.acc_seg": 72.35208, "loss": 0.32123, "time": 0.73633} -{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.21894, "decode.acc_seg": 73.97339, "aux.loss_seg": 0.11456, "aux.acc_seg": 72.19062, "loss": 0.33351, "time": 0.73392} -{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.23548, "decode.acc_seg": 72.68863, "aux.loss_seg": 0.12249, "aux.acc_seg": 70.93639, "loss": 0.35797, "time": 0.72983} -{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.21152, "decode.acc_seg": 73.09111, "aux.loss_seg": 0.11372, "aux.acc_seg": 71.16687, "loss": 0.32524, "time": 0.72963} -{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.21711, "decode.acc_seg": 73.38921, "aux.loss_seg": 0.11353, "aux.acc_seg": 71.61877, "loss": 0.33064, "time": 0.73301} -{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.2118, "decode.acc_seg": 71.93705, "aux.loss_seg": 0.11362, "aux.acc_seg": 70.0613, "loss": 0.32542, "time": 0.73663} -{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.21882, "decode.acc_seg": 73.38955, "aux.loss_seg": 0.11716, "aux.acc_seg": 71.40952, "loss": 0.33598, "time": 0.72315} -{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 26851, "data_time": 0.00713, "decode.loss_seg": 0.21728, "decode.acc_seg": 72.92133, "aux.loss_seg": 0.11475, "aux.acc_seg": 71.04739, "loss": 0.33203, "time": 0.71759} -{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.20702, "decode.acc_seg": 74.32504, "aux.loss_seg": 0.10904, "aux.acc_seg": 72.75533, "loss": 0.31606, "time": 0.71565} -{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 26851, "data_time": 0.00685, "decode.loss_seg": 0.23067, "decode.acc_seg": 73.29489, "aux.loss_seg": 0.121, "aux.acc_seg": 71.47612, "loss": 0.35167, "time": 0.71149} -{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 26851, "data_time": 0.00695, "decode.loss_seg": 0.21403, "decode.acc_seg": 74.61305, "aux.loss_seg": 0.11167, "aux.acc_seg": 73.01105, "loss": 0.3257, "time": 0.71339} -{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 26851, "data_time": 0.00692, "decode.loss_seg": 0.21533, "decode.acc_seg": 74.32458, "aux.loss_seg": 0.11278, "aux.acc_seg": 72.6282, "loss": 0.32811, "time": 0.71579} -{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 26851, "data_time": 0.00692, "decode.loss_seg": 0.21546, "decode.acc_seg": 73.66503, "aux.loss_seg": 0.11341, "aux.acc_seg": 71.85724, "loss": 0.32887, "time": 0.71938} -{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 26851, "data_time": 0.00698, "decode.loss_seg": 0.19812, "decode.acc_seg": 73.59951, "aux.loss_seg": 0.10524, "aux.acc_seg": 71.91653, "loss": 0.30336, "time": 0.71878} -{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.21452, "decode.acc_seg": 71.83985, "aux.loss_seg": 0.11255, "aux.acc_seg": 70.00799, "loss": 0.32707, "time": 0.71784} -{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.22856, "decode.acc_seg": 74.27839, "aux.loss_seg": 0.12113, "aux.acc_seg": 72.35125, "loss": 0.34969, "time": 0.71253} -{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 26851, "data_time": 0.00711, "decode.loss_seg": 0.21281, "decode.acc_seg": 74.3304, "aux.loss_seg": 0.11246, "aux.acc_seg": 72.66046, "loss": 0.32527, "time": 0.71514} -{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.22789, "decode.acc_seg": 73.45678, "aux.loss_seg": 0.11786, "aux.acc_seg": 71.64248, "loss": 0.34575, "time": 0.73013} -{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 26851, "data_time": 0.00736, "decode.loss_seg": 0.2367, "decode.acc_seg": 74.12945, "aux.loss_seg": 0.12166, "aux.acc_seg": 72.37429, "loss": 0.35836, "time": 0.72245} -{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 26851, "data_time": 0.00693, "decode.loss_seg": 0.22897, "decode.acc_seg": 73.40064, "aux.loss_seg": 0.11871, "aux.acc_seg": 71.54386, "loss": 0.34769, "time": 0.72139} -{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 26851, "data_time": 0.00697, "decode.loss_seg": 0.23873, "decode.acc_seg": 73.08243, "aux.loss_seg": 0.12573, "aux.acc_seg": 71.17359, "loss": 0.36447, "time": 0.72098} -{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 26851, "data_time": 0.00689, "decode.loss_seg": 0.22197, "decode.acc_seg": 73.81954, "aux.loss_seg": 0.11506, "aux.acc_seg": 72.16128, "loss": 0.33703, "time": 0.71596} -{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 26851, "data_time": 0.00712, "decode.loss_seg": 0.22725, "decode.acc_seg": 72.8557, "aux.loss_seg": 0.11577, "aux.acc_seg": 71.34153, "loss": 0.34302, "time": 0.71518} -{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 26851, "data_time": 0.007, "decode.loss_seg": 0.22463, "decode.acc_seg": 72.07009, "aux.loss_seg": 0.11819, "aux.acc_seg": 70.2675, "loss": 0.34282, "time": 0.71744} -{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 26851, "data_time": 0.22201, "decode.loss_seg": 0.22086, "decode.acc_seg": 74.5567, "aux.loss_seg": 0.11751, "aux.acc_seg": 72.66058, "loss": 0.33836, "time": 0.93777} -{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.21952, "decode.acc_seg": 73.01837, "aux.loss_seg": 0.11779, "aux.acc_seg": 71.16962, "loss": 0.33731, "time": 0.72397} -{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.21747, "decode.acc_seg": 74.34807, "aux.loss_seg": 0.11538, "aux.acc_seg": 72.58215, "loss": 0.33286, "time": 0.72176} -{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.21274, "decode.acc_seg": 73.14895, "aux.loss_seg": 0.11152, "aux.acc_seg": 71.50888, "loss": 0.32426, "time": 0.72305} -{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.21975, "decode.acc_seg": 72.81723, "aux.loss_seg": 0.11499, "aux.acc_seg": 71.04025, "loss": 0.33474, "time": 0.72188} -{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.22401, "decode.acc_seg": 73.33184, "aux.loss_seg": 0.11876, "aux.acc_seg": 71.46539, "loss": 0.34277, "time": 0.72355} -{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.22574, "decode.acc_seg": 74.12556, "aux.loss_seg": 0.11912, "aux.acc_seg": 72.3193, "loss": 0.34486, "time": 0.72188} -{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.21356, "decode.acc_seg": 74.30641, "aux.loss_seg": 0.11193, "aux.acc_seg": 72.62861, "loss": 0.32549, "time": 0.71781} -{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.22907, "decode.acc_seg": 72.30202, "aux.loss_seg": 0.12171, "aux.acc_seg": 70.4086, "loss": 0.35079, "time": 0.71412} -{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.20752, "decode.acc_seg": 73.17662, "aux.loss_seg": 0.10989, "aux.acc_seg": 71.42243, "loss": 0.31741, "time": 0.72219} -{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.21608, "decode.acc_seg": 74.74662, "aux.loss_seg": 0.11222, "aux.acc_seg": 73.064, "loss": 0.3283, "time": 0.72094} -{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.21713, "decode.acc_seg": 72.4596, "aux.loss_seg": 0.11625, "aux.acc_seg": 70.64226, "loss": 0.33338, "time": 0.72173} -{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.2178, "decode.acc_seg": 73.57028, "aux.loss_seg": 0.1133, "aux.acc_seg": 71.91849, "loss": 0.3311, "time": 0.72206} -{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.22162, "decode.acc_seg": 73.96542, "aux.loss_seg": 0.11649, "aux.acc_seg": 72.12979, "loss": 0.33811, "time": 0.71906} -{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.22159, "decode.acc_seg": 73.99452, "aux.loss_seg": 0.11645, "aux.acc_seg": 72.22036, "loss": 0.33804, "time": 0.71474} -{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.21794, "decode.acc_seg": 74.26547, "aux.loss_seg": 0.11331, "aux.acc_seg": 72.46092, "loss": 0.33125, "time": 0.71603} -{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.20916, "decode.acc_seg": 73.0329, "aux.loss_seg": 0.10945, "aux.acc_seg": 71.37673, "loss": 0.31861, "time": 0.71852} -{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.21841, "decode.acc_seg": 73.68832, "aux.loss_seg": 0.11445, "aux.acc_seg": 71.89932, "loss": 0.33286, "time": 0.72453} -{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.22531, "decode.acc_seg": 72.51857, "aux.loss_seg": 0.11627, "aux.acc_seg": 70.69888, "loss": 0.34158, "time": 0.7202} -{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.20879, "decode.acc_seg": 73.69159, "aux.loss_seg": 0.1119, "aux.acc_seg": 71.91071, "loss": 0.32069, "time": 0.7244} -{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.2216, "decode.acc_seg": 73.80684, "aux.loss_seg": 0.1154, "aux.acc_seg": 71.98063, "loss": 0.337, "time": 0.729} -{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.22699, "decode.acc_seg": 73.93922, "aux.loss_seg": 0.11894, "aux.acc_seg": 72.19286, "loss": 0.34593, "time": 0.71427} -{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.20787, "decode.acc_seg": 74.84824, "aux.loss_seg": 0.10965, "aux.acc_seg": 72.96029, "loss": 0.31751, "time": 0.71519} -{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.22417, "decode.acc_seg": 71.91681, "aux.loss_seg": 0.11515, "aux.acc_seg": 70.12016, "loss": 0.33932, "time": 0.7214} -{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.22268, "decode.acc_seg": 74.41449, "aux.loss_seg": 0.11431, "aux.acc_seg": 72.79317, "loss": 0.33699, "time": 0.72087} -{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 26851, "data_time": 0.22107, "decode.loss_seg": 0.21588, "decode.acc_seg": 73.88202, "aux.loss_seg": 0.11572, "aux.acc_seg": 71.9899, "loss": 0.33159, "time": 0.93127} -{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 26851, "data_time": 0.00742, "decode.loss_seg": 0.21837, "decode.acc_seg": 73.77183, "aux.loss_seg": 0.11523, "aux.acc_seg": 72.00841, "loss": 0.33359, "time": 0.71245} -{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.22735, "decode.acc_seg": 74.24766, "aux.loss_seg": 0.12032, "aux.acc_seg": 72.3743, "loss": 0.34767, "time": 0.71788} -{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.21033, "decode.acc_seg": 73.20745, "aux.loss_seg": 0.11057, "aux.acc_seg": 71.47321, "loss": 0.32091, "time": 0.72018} -{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.23434, "decode.acc_seg": 75.01993, "aux.loss_seg": 0.121, "aux.acc_seg": 73.22164, "loss": 0.35534, "time": 0.71873} -{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 26851, "data_time": 0.00727, "decode.loss_seg": 0.1967, "decode.acc_seg": 74.29092, "aux.loss_seg": 0.10506, "aux.acc_seg": 72.54481, "loss": 0.30177, "time": 0.7317} -{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.20075, "decode.acc_seg": 73.71103, "aux.loss_seg": 0.10571, "aux.acc_seg": 72.08643, "loss": 0.30646, "time": 0.72202} -{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.21157, "decode.acc_seg": 73.87499, "aux.loss_seg": 0.11111, "aux.acc_seg": 72.1077, "loss": 0.32267, "time": 0.72397} -{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.21213, "decode.acc_seg": 72.75669, "aux.loss_seg": 0.11329, "aux.acc_seg": 70.87163, "loss": 0.32541, "time": 0.71257} -{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.21447, "decode.acc_seg": 75.42328, "aux.loss_seg": 0.11263, "aux.acc_seg": 73.70882, "loss": 0.32711, "time": 0.71896} -{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.21462, "decode.acc_seg": 73.52234, "aux.loss_seg": 0.11421, "aux.acc_seg": 71.68266, "loss": 0.32884, "time": 0.71929} -{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.21447, "decode.acc_seg": 74.37717, "aux.loss_seg": 0.11338, "aux.acc_seg": 72.61867, "loss": 0.32785, "time": 0.71876} -{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.23034, "decode.acc_seg": 73.7048, "aux.loss_seg": 0.12051, "aux.acc_seg": 71.86229, "loss": 0.35085, "time": 0.72081} -{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.20767, "decode.acc_seg": 73.14868, "aux.loss_seg": 0.10973, "aux.acc_seg": 71.33002, "loss": 0.3174, "time": 0.71674} -{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.22075, "decode.acc_seg": 72.97552, "aux.loss_seg": 0.11557, "aux.acc_seg": 71.34277, "loss": 0.33633, "time": 0.71319} -{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 26851, "data_time": 0.00758, "decode.loss_seg": 0.20762, "decode.acc_seg": 73.47164, "aux.loss_seg": 0.11141, "aux.acc_seg": 71.59274, "loss": 0.31903, "time": 0.71443} -{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.22431, "decode.acc_seg": 73.77262, "aux.loss_seg": 0.11814, "aux.acc_seg": 72.10671, "loss": 0.34245, "time": 0.7181} -{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.20705, "decode.acc_seg": 72.90892, "aux.loss_seg": 0.10913, "aux.acc_seg": 71.19706, "loss": 0.31617, "time": 0.72256} -{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.21152, "decode.acc_seg": 75.1223, "aux.loss_seg": 0.11152, "aux.acc_seg": 73.42714, "loss": 0.32304, "time": 0.72158} -{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.21687, "decode.acc_seg": 74.20719, "aux.loss_seg": 0.11386, "aux.acc_seg": 72.42314, "loss": 0.33073, "time": 0.72196} -{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.21224, "decode.acc_seg": 73.47516, "aux.loss_seg": 0.11011, "aux.acc_seg": 71.81747, "loss": 0.32235, "time": 0.72312} -{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.20632, "decode.acc_seg": 72.1432, "aux.loss_seg": 0.10727, "aux.acc_seg": 70.57986, "loss": 0.31359, "time": 0.72426} -{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.21225, "decode.acc_seg": 74.74685, "aux.loss_seg": 0.11236, "aux.acc_seg": 72.92898, "loss": 0.32461, "time": 0.72263} -{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.22736, "decode.acc_seg": 72.56487, "aux.loss_seg": 0.12103, "aux.acc_seg": 70.66059, "loss": 0.34839, "time": 0.71772} -{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.21623, "decode.acc_seg": 73.67711, "aux.loss_seg": 0.11308, "aux.acc_seg": 71.86424, "loss": 0.32931, "time": 0.71607} -{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 26851, "data_time": 0.22606, "decode.loss_seg": 0.22447, "decode.acc_seg": 73.33944, "aux.loss_seg": 0.11904, "aux.acc_seg": 71.41437, "loss": 0.34352, "time": 0.93601} -{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.22075, "decode.acc_seg": 72.50425, "aux.loss_seg": 0.11614, "aux.acc_seg": 70.74893, "loss": 0.33689, "time": 0.71902} -{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.2069, "decode.acc_seg": 74.06035, "aux.loss_seg": 0.11081, "aux.acc_seg": 72.11335, "loss": 0.31771, "time": 0.72117} -{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.2116, "decode.acc_seg": 73.71375, "aux.loss_seg": 0.11017, "aux.acc_seg": 72.12463, "loss": 0.32176, "time": 0.72231} -{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.2189, "decode.acc_seg": 73.49948, "aux.loss_seg": 0.1176, "aux.acc_seg": 71.49906, "loss": 0.3365, "time": 0.72363} -{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.21543, "decode.acc_seg": 72.35658, "aux.loss_seg": 0.11192, "aux.acc_seg": 70.55236, "loss": 0.32735, "time": 0.73486} -{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21925, "decode.acc_seg": 74.24802, "aux.loss_seg": 0.11495, "aux.acc_seg": 72.37673, "loss": 0.3342, "time": 0.73234} -{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21818, "decode.acc_seg": 72.79272, "aux.loss_seg": 0.11198, "aux.acc_seg": 71.14684, "loss": 0.33016, "time": 0.72344} -{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20335, "decode.acc_seg": 73.3139, "aux.loss_seg": 0.10531, "aux.acc_seg": 71.72253, "loss": 0.30866, "time": 0.72113} -{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.20196, "decode.acc_seg": 72.64582, "aux.loss_seg": 0.10904, "aux.acc_seg": 70.81484, "loss": 0.311, "time": 0.72846} -{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.2183, "decode.acc_seg": 73.95103, "aux.loss_seg": 0.11463, "aux.acc_seg": 72.21761, "loss": 0.33293, "time": 0.72778} -{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.21568, "decode.acc_seg": 73.87396, "aux.loss_seg": 0.11465, "aux.acc_seg": 71.93352, "loss": 0.33033, "time": 0.71944} -{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.22008, "decode.acc_seg": 74.31607, "aux.loss_seg": 0.11824, "aux.acc_seg": 72.41665, "loss": 0.33832, "time": 0.71917} -{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.21309, "decode.acc_seg": 73.90362, "aux.loss_seg": 0.11053, "aux.acc_seg": 72.28621, "loss": 0.32362, "time": 0.71944} -{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.19987, "decode.acc_seg": 74.41367, "aux.loss_seg": 0.10619, "aux.acc_seg": 72.6256, "loss": 0.30606, "time": 0.72922} -{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.22369, "decode.acc_seg": 74.43895, "aux.loss_seg": 0.11807, "aux.acc_seg": 72.61961, "loss": 0.34176, "time": 0.72674} -{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.2141, "decode.acc_seg": 73.29964, "aux.loss_seg": 0.11216, "aux.acc_seg": 71.49624, "loss": 0.32626, "time": 0.71745} -{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.20962, "decode.acc_seg": 72.31137, "aux.loss_seg": 0.11042, "aux.acc_seg": 70.72494, "loss": 0.32004, "time": 0.71773} -{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.20538, "decode.acc_seg": 73.97445, "aux.loss_seg": 0.10866, "aux.acc_seg": 72.24436, "loss": 0.31404, "time": 0.71629} -{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.21814, "decode.acc_seg": 73.5191, "aux.loss_seg": 0.11594, "aux.acc_seg": 71.63422, "loss": 0.33409, "time": 0.72033} -{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.2241, "decode.acc_seg": 73.05433, "aux.loss_seg": 0.11893, "aux.acc_seg": 71.23853, "loss": 0.34303, "time": 0.72118} -{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.21069, "decode.acc_seg": 72.45097, "aux.loss_seg": 0.11015, "aux.acc_seg": 70.66812, "loss": 0.32084, "time": 0.72232} -{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.22562, "decode.acc_seg": 74.92441, "aux.loss_seg": 0.11801, "aux.acc_seg": 73.07318, "loss": 0.34362, "time": 0.72068} -{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21102, "decode.acc_seg": 74.20264, "aux.loss_seg": 0.11141, "aux.acc_seg": 72.44805, "loss": 0.32243, "time": 0.71735} -{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.21619, "decode.acc_seg": 74.35032, "aux.loss_seg": 0.11445, "aux.acc_seg": 72.51793, "loss": 0.33063, "time": 0.71308} -{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 26851, "data_time": 0.22063, "decode.loss_seg": 0.22613, "decode.acc_seg": 74.16763, "aux.loss_seg": 0.11775, "aux.acc_seg": 72.51427, "loss": 0.34388, "time": 0.93256} -{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.21784, "decode.acc_seg": 73.07871, "aux.loss_seg": 0.11475, "aux.acc_seg": 71.1019, "loss": 0.33259, "time": 0.71982} -{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.20559, "decode.acc_seg": 73.29176, "aux.loss_seg": 0.10798, "aux.acc_seg": 71.67019, "loss": 0.31357, "time": 0.72262} -{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.2071, "decode.acc_seg": 74.63616, "aux.loss_seg": 0.1093, "aux.acc_seg": 72.82115, "loss": 0.3164, "time": 0.72055} -{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21522, "decode.acc_seg": 73.36106, "aux.loss_seg": 0.11415, "aux.acc_seg": 71.40637, "loss": 0.32937, "time": 0.7221} -{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21551, "decode.acc_seg": 75.27716, "aux.loss_seg": 0.11395, "aux.acc_seg": 73.54108, "loss": 0.32947, "time": 0.72151} -{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.20369, "decode.acc_seg": 74.94643, "aux.loss_seg": 0.10869, "aux.acc_seg": 73.28544, "loss": 0.31238, "time": 0.72973} -{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20912, "decode.acc_seg": 72.49632, "aux.loss_seg": 0.11303, "aux.acc_seg": 70.54947, "loss": 0.32215, "time": 0.71935} -{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.2106, "decode.acc_seg": 73.10975, "aux.loss_seg": 0.11279, "aux.acc_seg": 71.24351, "loss": 0.3234, "time": 0.7188} -{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.20957, "decode.acc_seg": 74.54785, "aux.loss_seg": 0.11066, "aux.acc_seg": 72.87625, "loss": 0.32023, "time": 0.71405} -{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.21016, "decode.acc_seg": 73.1249, "aux.loss_seg": 0.1104, "aux.acc_seg": 71.34478, "loss": 0.32056, "time": 0.71995} -{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.21055, "decode.acc_seg": 73.43149, "aux.loss_seg": 0.11339, "aux.acc_seg": 71.51864, "loss": 0.32393, "time": 0.72087} -{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.21155, "decode.acc_seg": 74.24845, "aux.loss_seg": 0.11119, "aux.acc_seg": 72.53895, "loss": 0.32273, "time": 0.72816} -{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.21472, "decode.acc_seg": 73.04651, "aux.loss_seg": 0.11173, "aux.acc_seg": 71.46477, "loss": 0.32645, "time": 0.7348} -{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.21429, "decode.acc_seg": 73.99243, "aux.loss_seg": 0.10986, "aux.acc_seg": 72.35235, "loss": 0.32415, "time": 0.71917} -{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.21671, "decode.acc_seg": 74.76078, "aux.loss_seg": 0.11383, "aux.acc_seg": 72.97035, "loss": 0.33054, "time": 0.7151} -{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.21658, "decode.acc_seg": 73.43637, "aux.loss_seg": 0.11398, "aux.acc_seg": 71.66958, "loss": 0.33056, "time": 0.72066} -{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.22604, "decode.acc_seg": 74.37964, "aux.loss_seg": 0.11899, "aux.acc_seg": 72.60078, "loss": 0.34503, "time": 0.72857} -{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.23159, "decode.acc_seg": 72.70429, "aux.loss_seg": 0.11995, "aux.acc_seg": 70.97823, "loss": 0.35154, "time": 0.72167} -{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.22045, "decode.acc_seg": 73.26017, "aux.loss_seg": 0.11404, "aux.acc_seg": 71.66263, "loss": 0.33449, "time": 0.73202} -{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.20648, "decode.acc_seg": 72.89131, "aux.loss_seg": 0.1124, "aux.acc_seg": 70.92551, "loss": 0.31887, "time": 0.73365} -{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.22067, "decode.acc_seg": 73.96745, "aux.loss_seg": 0.11797, "aux.acc_seg": 72.04435, "loss": 0.33865, "time": 0.72948} -{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.22072, "decode.acc_seg": 73.0433, "aux.loss_seg": 0.11561, "aux.acc_seg": 71.45061, "loss": 0.33633, "time": 0.72292} -{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.21607, "decode.acc_seg": 73.01538, "aux.loss_seg": 0.11425, "aux.acc_seg": 71.08336, "loss": 0.33031, "time": 0.71702} -{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.21512, "decode.acc_seg": 73.33, "aux.loss_seg": 0.11206, "aux.acc_seg": 71.4789, "loss": 0.32718, "time": 0.72005} -{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.21055, "decode.acc_seg": 75.59826, "aux.loss_seg": 0.11281, "aux.acc_seg": 73.5703, "loss": 0.32336, "time": 0.72266} -{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 26851, "data_time": 0.2256, "decode.loss_seg": 0.20888, "decode.acc_seg": 74.12078, "aux.loss_seg": 0.11416, "aux.acc_seg": 72.17524, "loss": 0.32304, "time": 0.94005} -{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.21603, "decode.acc_seg": 72.94307, "aux.loss_seg": 0.11328, "aux.acc_seg": 71.2146, "loss": 0.32931, "time": 0.72177} -{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.19672, "decode.acc_seg": 73.12179, "aux.loss_seg": 0.10583, "aux.acc_seg": 71.28265, "loss": 0.30255, "time": 0.72296} -{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.20372, "decode.acc_seg": 74.07491, "aux.loss_seg": 0.11029, "aux.acc_seg": 72.13221, "loss": 0.31401, "time": 0.72445} -{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.21109, "decode.acc_seg": 74.02371, "aux.loss_seg": 0.11142, "aux.acc_seg": 72.20213, "loss": 0.32251, "time": 0.72} -{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.21805, "decode.acc_seg": 75.86867, "aux.loss_seg": 0.115, "aux.acc_seg": 73.97206, "loss": 0.33306, "time": 0.71475} -{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.20981, "decode.acc_seg": 75.18611, "aux.loss_seg": 0.11233, "aux.acc_seg": 73.37437, "loss": 0.32213, "time": 0.71593} -{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.20261, "decode.acc_seg": 73.59523, "aux.loss_seg": 0.10622, "aux.acc_seg": 71.92669, "loss": 0.30883, "time": 0.72117} -{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.20555, "decode.acc_seg": 73.46241, "aux.loss_seg": 0.10951, "aux.acc_seg": 71.60593, "loss": 0.31506, "time": 0.72532} -{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.21079, "decode.acc_seg": 75.31486, "aux.loss_seg": 0.11194, "aux.acc_seg": 73.48091, "loss": 0.32273, "time": 0.72142} -{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.2114, "decode.acc_seg": 72.82592, "aux.loss_seg": 0.11173, "aux.acc_seg": 71.00954, "loss": 0.32313, "time": 0.73209} -{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20016, "decode.acc_seg": 73.36062, "aux.loss_seg": 0.10848, "aux.acc_seg": 71.60764, "loss": 0.30863, "time": 0.71753} -{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.20976, "decode.acc_seg": 73.8133, "aux.loss_seg": 0.11365, "aux.acc_seg": 71.88392, "loss": 0.32341, "time": 0.71286} -{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.21742, "decode.acc_seg": 74.27396, "aux.loss_seg": 0.11636, "aux.acc_seg": 72.33898, "loss": 0.33378, "time": 0.71494} -{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.2189, "decode.acc_seg": 73.63444, "aux.loss_seg": 0.11463, "aux.acc_seg": 71.93796, "loss": 0.33353, "time": 0.71782} -{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.21405, "decode.acc_seg": 73.98982, "aux.loss_seg": 0.11264, "aux.acc_seg": 72.10164, "loss": 0.32668, "time": 0.72324} -{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.21695, "decode.acc_seg": 73.37377, "aux.loss_seg": 0.11419, "aux.acc_seg": 71.51674, "loss": 0.33114, "time": 0.72075} -{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.213, "decode.acc_seg": 72.60479, "aux.loss_seg": 0.11196, "aux.acc_seg": 70.79201, "loss": 0.32496, "time": 0.72277} -{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.2056, "decode.acc_seg": 74.82624, "aux.loss_seg": 0.10964, "aux.acc_seg": 73.03779, "loss": 0.31524, "time": 0.72157} -{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.21197, "decode.acc_seg": 74.66763, "aux.loss_seg": 0.11235, "aux.acc_seg": 72.93215, "loss": 0.32432, "time": 0.71902} -{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21198, "decode.acc_seg": 75.0371, "aux.loss_seg": 0.11054, "aux.acc_seg": 73.3647, "loss": 0.32252, "time": 0.71345} -{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.2165, "decode.acc_seg": 74.33734, "aux.loss_seg": 0.11375, "aux.acc_seg": 72.50159, "loss": 0.33024, "time": 0.72293} -{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.21609, "decode.acc_seg": 73.78249, "aux.loss_seg": 0.11276, "aux.acc_seg": 72.10205, "loss": 0.32885, "time": 0.72872} -{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.22195, "decode.acc_seg": 74.16434, "aux.loss_seg": 0.1166, "aux.acc_seg": 72.29702, "loss": 0.33855, "time": 0.73284} -{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.21267, "decode.acc_seg": 73.90708, "aux.loss_seg": 0.11073, "aux.acc_seg": 72.07418, "loss": 0.3234, "time": 0.7268} -{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 26851, "data_time": 0.22788, "decode.loss_seg": 0.20702, "decode.acc_seg": 73.92886, "aux.loss_seg": 0.10979, "aux.acc_seg": 72.10908, "loss": 0.31681, "time": 0.94899} -{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.20432, "decode.acc_seg": 74.0121, "aux.loss_seg": 0.1102, "aux.acc_seg": 72.15629, "loss": 0.31452, "time": 0.73134} -{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20898, "decode.acc_seg": 75.36, "aux.loss_seg": 0.11015, "aux.acc_seg": 73.58896, "loss": 0.31914, "time": 0.72098} -{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.19487, "decode.acc_seg": 74.54299, "aux.loss_seg": 0.10566, "aux.acc_seg": 72.7028, "loss": 0.30053, "time": 0.71518} -{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.21755, "decode.acc_seg": 74.87762, "aux.loss_seg": 0.11515, "aux.acc_seg": 73.22562, "loss": 0.33269, "time": 0.71464} -{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.21134, "decode.acc_seg": 73.16417, "aux.loss_seg": 0.11326, "aux.acc_seg": 71.35105, "loss": 0.32459, "time": 0.71903} -{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.2125, "decode.acc_seg": 74.56967, "aux.loss_seg": 0.11609, "aux.acc_seg": 72.42556, "loss": 0.32859, "time": 0.7235} -{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.21355, "decode.acc_seg": 73.46481, "aux.loss_seg": 0.11361, "aux.acc_seg": 71.65791, "loss": 0.32716, "time": 0.72069} -{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.21472, "decode.acc_seg": 73.58366, "aux.loss_seg": 0.11381, "aux.acc_seg": 71.77409, "loss": 0.32852, "time": 0.72698} -{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.22484, "decode.acc_seg": 74.15233, "aux.loss_seg": 0.11694, "aux.acc_seg": 72.3285, "loss": 0.34179, "time": 0.73275} -{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.21114, "decode.acc_seg": 74.90696, "aux.loss_seg": 0.11306, "aux.acc_seg": 72.98793, "loss": 0.3242, "time": 0.73393} -{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.21244, "decode.acc_seg": 73.50082, "aux.loss_seg": 0.11198, "aux.acc_seg": 71.77836, "loss": 0.32442, "time": 0.72895} -{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.19655, "decode.acc_seg": 74.30696, "aux.loss_seg": 0.1055, "aux.acc_seg": 72.53143, "loss": 0.30205, "time": 0.72982} -{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.20212, "decode.acc_seg": 72.03855, "aux.loss_seg": 0.10847, "aux.acc_seg": 70.24469, "loss": 0.31059, "time": 0.7369} -{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.2095, "decode.acc_seg": 74.80034, "aux.loss_seg": 0.11225, "aux.acc_seg": 72.94397, "loss": 0.32175, "time": 0.73129} -{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.19764, "decode.acc_seg": 73.18497, "aux.loss_seg": 0.10369, "aux.acc_seg": 71.5792, "loss": 0.30133, "time": 0.72906} -{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.19815, "decode.acc_seg": 73.77965, "aux.loss_seg": 0.10873, "aux.acc_seg": 71.78133, "loss": 0.30688, "time": 0.72678} -{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.21347, "decode.acc_seg": 74.04913, "aux.loss_seg": 0.11343, "aux.acc_seg": 72.34017, "loss": 0.32691, "time": 0.72506} -{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.20118, "decode.acc_seg": 73.97789, "aux.loss_seg": 0.10789, "aux.acc_seg": 72.28075, "loss": 0.30907, "time": 0.72594} -{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.20382, "decode.acc_seg": 74.6004, "aux.loss_seg": 0.10826, "aux.acc_seg": 72.66411, "loss": 0.31208, "time": 0.73006} -{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.20455, "decode.acc_seg": 72.4314, "aux.loss_seg": 0.10979, "aux.acc_seg": 70.56697, "loss": 0.31434, "time": 0.73588} -{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.20742, "decode.acc_seg": 74.91847, "aux.loss_seg": 0.11043, "aux.acc_seg": 73.11597, "loss": 0.31786, "time": 0.7257} -{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.20928, "decode.acc_seg": 75.38052, "aux.loss_seg": 0.11065, "aux.acc_seg": 73.58455, "loss": 0.31993, "time": 0.72058} -{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.2146, "decode.acc_seg": 72.52324, "aux.loss_seg": 0.11103, "aux.acc_seg": 70.93961, "loss": 0.32563, "time": 0.72922} -{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.21527, "decode.acc_seg": 73.34218, "aux.loss_seg": 0.11436, "aux.acc_seg": 71.62264, "loss": 0.32963, "time": 0.73822} -{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 26851, "data_time": 0.25007, "decode.loss_seg": 0.2089, "decode.acc_seg": 73.47536, "aux.loss_seg": 0.11391, "aux.acc_seg": 71.40712, "loss": 0.32281, "time": 0.97168} -{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.20593, "decode.acc_seg": 73.92211, "aux.loss_seg": 0.10987, "aux.acc_seg": 72.00034, "loss": 0.3158, "time": 0.734} -{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 26851, "data_time": 0.00898, "decode.loss_seg": 0.20409, "decode.acc_seg": 73.52355, "aux.loss_seg": 0.10978, "aux.acc_seg": 71.58341, "loss": 0.31387, "time": 0.73691} -{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 26851, "data_time": 0.00905, "decode.loss_seg": 0.20458, "decode.acc_seg": 74.08472, "aux.loss_seg": 0.10827, "aux.acc_seg": 72.37418, "loss": 0.31285, "time": 0.73431} -{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.20623, "decode.acc_seg": 73.75771, "aux.loss_seg": 0.10931, "aux.acc_seg": 71.99078, "loss": 0.31555, "time": 0.72505} -{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20571, "decode.acc_seg": 74.96595, "aux.loss_seg": 0.11087, "aux.acc_seg": 73.08316, "loss": 0.31659, "time": 0.72528} -{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.2277, "decode.acc_seg": 75.1931, "aux.loss_seg": 0.11868, "aux.acc_seg": 73.38439, "loss": 0.34638, "time": 0.72776} -{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.21541, "decode.acc_seg": 75.18449, "aux.loss_seg": 0.11489, "aux.acc_seg": 73.35934, "loss": 0.3303, "time": 0.73276} -{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.21084, "decode.acc_seg": 74.34402, "aux.loss_seg": 0.11058, "aux.acc_seg": 72.6897, "loss": 0.32142, "time": 0.72866} -{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.2076, "decode.acc_seg": 72.7548, "aux.loss_seg": 0.10905, "aux.acc_seg": 71.00249, "loss": 0.31665, "time": 0.72423} -{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.1977, "decode.acc_seg": 74.7283, "aux.loss_seg": 0.10476, "aux.acc_seg": 73.08811, "loss": 0.30247, "time": 0.72198} -{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.20851, "decode.acc_seg": 72.04273, "aux.loss_seg": 0.10987, "aux.acc_seg": 70.17482, "loss": 0.31839, "time": 0.72535} -{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 26851, "data_time": 0.00919, "decode.loss_seg": 0.20235, "decode.acc_seg": 74.30818, "aux.loss_seg": 0.10771, "aux.acc_seg": 72.56974, "loss": 0.31006, "time": 0.73106} -{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.22597, "decode.acc_seg": 74.38657, "aux.loss_seg": 0.11859, "aux.acc_seg": 72.61251, "loss": 0.34456, "time": 0.73252} -{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.20832, "decode.acc_seg": 72.49513, "aux.loss_seg": 0.11232, "aux.acc_seg": 70.62769, "loss": 0.32064, "time": 0.73506} -{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.21704, "decode.acc_seg": 72.55049, "aux.loss_seg": 0.11684, "aux.acc_seg": 70.61314, "loss": 0.33387, "time": 0.73008} -{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.21261, "decode.acc_seg": 74.9713, "aux.loss_seg": 0.11339, "aux.acc_seg": 73.11529, "loss": 0.326, "time": 0.72518} -{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.21113, "decode.acc_seg": 73.11805, "aux.loss_seg": 0.1134, "aux.acc_seg": 71.24937, "loss": 0.32453, "time": 0.72725} -{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.21464, "decode.acc_seg": 75.57089, "aux.loss_seg": 0.11624, "aux.acc_seg": 73.60271, "loss": 0.33087, "time": 0.72608} -{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.21163, "decode.acc_seg": 74.45191, "aux.loss_seg": 0.11262, "aux.acc_seg": 72.67847, "loss": 0.32425, "time": 0.73247} -{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.20172, "decode.acc_seg": 73.8217, "aux.loss_seg": 0.10779, "aux.acc_seg": 72.0432, "loss": 0.30951, "time": 0.73101} -{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20198, "decode.acc_seg": 73.85267, "aux.loss_seg": 0.10686, "aux.acc_seg": 72.12573, "loss": 0.30883, "time": 0.73011} -{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.20493, "decode.acc_seg": 74.1879, "aux.loss_seg": 0.10867, "aux.acc_seg": 72.5898, "loss": 0.3136, "time": 0.73234} -{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.21238, "decode.acc_seg": 73.68231, "aux.loss_seg": 0.1127, "aux.acc_seg": 71.89839, "loss": 0.32508, "time": 0.73385} -{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20655, "decode.acc_seg": 72.06046, "aux.loss_seg": 0.11122, "aux.acc_seg": 70.11147, "loss": 0.31777, "time": 0.72913} -{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 26851, "data_time": 0.24751, "decode.loss_seg": 0.19708, "decode.acc_seg": 74.35853, "aux.loss_seg": 0.10501, "aux.acc_seg": 72.54631, "loss": 0.30209, "time": 0.96808} -{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 26851, "data_time": 0.00921, "decode.loss_seg": 0.1932, "decode.acc_seg": 74.4133, "aux.loss_seg": 0.10179, "aux.acc_seg": 72.66711, "loss": 0.295, "time": 0.72884} -{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.20458, "decode.acc_seg": 73.56282, "aux.loss_seg": 0.10893, "aux.acc_seg": 71.78879, "loss": 0.31351, "time": 0.72438} -{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.20685, "decode.acc_seg": 73.89254, "aux.loss_seg": 0.11153, "aux.acc_seg": 71.94797, "loss": 0.31838, "time": 0.727} -{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.21115, "decode.acc_seg": 74.77086, "aux.loss_seg": 0.11235, "aux.acc_seg": 72.91661, "loss": 0.3235, "time": 0.73029} -{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.20242, "decode.acc_seg": 73.31697, "aux.loss_seg": 0.1105, "aux.acc_seg": 71.32117, "loss": 0.31291, "time": 0.7349} -{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.20108, "decode.acc_seg": 72.98968, "aux.loss_seg": 0.10631, "aux.acc_seg": 71.18999, "loss": 0.30739, "time": 0.73175} -{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.19193, "decode.acc_seg": 73.50245, "aux.loss_seg": 0.1011, "aux.acc_seg": 71.86911, "loss": 0.29303, "time": 0.73182} -{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.20754, "decode.acc_seg": 73.41364, "aux.loss_seg": 0.11348, "aux.acc_seg": 71.50232, "loss": 0.32101, "time": 0.72664} -{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.20446, "decode.acc_seg": 74.42019, "aux.loss_seg": 0.10796, "aux.acc_seg": 72.64948, "loss": 0.31242, "time": 0.73124} -{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.20555, "decode.acc_seg": 74.91262, "aux.loss_seg": 0.11154, "aux.acc_seg": 72.95266, "loss": 0.31709, "time": 0.73149} -{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.20218, "decode.acc_seg": 73.71555, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.02388, "loss": 0.30971, "time": 0.73503} -{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.19734, "decode.acc_seg": 74.12321, "aux.loss_seg": 0.10431, "aux.acc_seg": 72.47224, "loss": 0.30166, "time": 0.73237} -{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.20325, "decode.acc_seg": 73.28872, "aux.loss_seg": 0.10893, "aux.acc_seg": 71.50704, "loss": 0.31219, "time": 0.73753} -{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.20856, "decode.acc_seg": 74.70912, "aux.loss_seg": 0.11496, "aux.acc_seg": 72.84657, "loss": 0.32351, "time": 0.73326} -{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.19873, "decode.acc_seg": 75.23131, "aux.loss_seg": 0.10552, "aux.acc_seg": 73.48759, "loss": 0.30425, "time": 0.73411} -{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20632, "decode.acc_seg": 74.18566, "aux.loss_seg": 0.10969, "aux.acc_seg": 72.32963, "loss": 0.31601, "time": 0.7298} -{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.19746, "decode.acc_seg": 73.65546, "aux.loss_seg": 0.10628, "aux.acc_seg": 71.76731, "loss": 0.30373, "time": 0.72659} -{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.21048, "decode.acc_seg": 73.65761, "aux.loss_seg": 0.11147, "aux.acc_seg": 71.81883, "loss": 0.32195, "time": 0.72755} -{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.2036, "decode.acc_seg": 73.30357, "aux.loss_seg": 0.10938, "aux.acc_seg": 71.46085, "loss": 0.31298, "time": 0.72797} -{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.20038, "decode.acc_seg": 73.98028, "aux.loss_seg": 0.10602, "aux.acc_seg": 72.26822, "loss": 0.30641, "time": 0.73117} -{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.19822, "decode.acc_seg": 74.62464, "aux.loss_seg": 0.10587, "aux.acc_seg": 72.85805, "loss": 0.30409, "time": 0.73393} -{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.209, "decode.acc_seg": 74.89132, "aux.loss_seg": 0.1122, "aux.acc_seg": 72.96276, "loss": 0.3212, "time": 0.73289} -{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.20366, "decode.acc_seg": 73.8701, "aux.loss_seg": 0.10818, "aux.acc_seg": 72.05559, "loss": 0.31184, "time": 0.73139} -{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.20409, "decode.acc_seg": 73.21036, "aux.loss_seg": 0.10743, "aux.acc_seg": 71.5034, "loss": 0.31153, "time": 0.72679} -{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.20251, "decode.acc_seg": 74.16578, "aux.loss_seg": 0.11, "aux.acc_seg": 72.2787, "loss": 0.31251, "time": 0.72699} -{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 26851, "data_time": 0.25114, "decode.loss_seg": 0.20502, "decode.acc_seg": 74.78547, "aux.loss_seg": 0.10747, "aux.acc_seg": 73.15606, "loss": 0.31249, "time": 0.9713} -{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.1995, "decode.acc_seg": 74.78719, "aux.loss_seg": 0.10631, "aux.acc_seg": 72.97875, "loss": 0.30582, "time": 0.73358} -{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.19944, "decode.acc_seg": 74.99392, "aux.loss_seg": 0.10613, "aux.acc_seg": 73.11518, "loss": 0.30557, "time": 0.7369} -{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.19899, "decode.acc_seg": 73.6763, "aux.loss_seg": 0.10583, "aux.acc_seg": 71.81863, "loss": 0.30482, "time": 0.73441} -{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.21041, "decode.acc_seg": 74.79829, "aux.loss_seg": 0.11166, "aux.acc_seg": 72.99319, "loss": 0.32207, "time": 0.73387} -{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.20684, "decode.acc_seg": 74.69341, "aux.loss_seg": 0.11095, "aux.acc_seg": 72.94934, "loss": 0.31779, "time": 0.73219} -{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.19985, "decode.acc_seg": 73.97647, "aux.loss_seg": 0.10731, "aux.acc_seg": 72.17939, "loss": 0.30716, "time": 0.73177} -{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.22009, "decode.acc_seg": 74.42022, "aux.loss_seg": 0.1145, "aux.acc_seg": 72.6627, "loss": 0.33459, "time": 0.72876} -{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19435, "decode.acc_seg": 75.53312, "aux.loss_seg": 0.10325, "aux.acc_seg": 73.87216, "loss": 0.2976, "time": 0.72949} -{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.21497, "decode.acc_seg": 72.73523, "aux.loss_seg": 0.11483, "aux.acc_seg": 70.8998, "loss": 0.3298, "time": 0.74013} -{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.20991, "decode.acc_seg": 73.31419, "aux.loss_seg": 0.1092, "aux.acc_seg": 71.6934, "loss": 0.31912, "time": 0.73197} -{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20153, "decode.acc_seg": 73.78163, "aux.loss_seg": 0.10697, "aux.acc_seg": 72.13666, "loss": 0.3085, "time": 0.73083} -{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.20212, "decode.acc_seg": 73.20539, "aux.loss_seg": 0.10664, "aux.acc_seg": 71.54079, "loss": 0.30876, "time": 0.73136} -{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.20536, "decode.acc_seg": 72.9299, "aux.loss_seg": 0.10981, "aux.acc_seg": 71.09714, "loss": 0.31516, "time": 0.73173} -{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.20002, "decode.acc_seg": 72.82361, "aux.loss_seg": 0.10532, "aux.acc_seg": 71.18327, "loss": 0.30534, "time": 0.73355} -{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20819, "decode.acc_seg": 73.46097, "aux.loss_seg": 0.11065, "aux.acc_seg": 71.67103, "loss": 0.31884, "time": 0.7356} -{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.21508, "decode.acc_seg": 73.82685, "aux.loss_seg": 0.11238, "aux.acc_seg": 72.23555, "loss": 0.32745, "time": 0.73361} -{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.2114, "decode.acc_seg": 74.8634, "aux.loss_seg": 0.11101, "aux.acc_seg": 73.12949, "loss": 0.32241, "time": 0.73158} -{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.22342, "decode.acc_seg": 73.69126, "aux.loss_seg": 0.11752, "aux.acc_seg": 71.84403, "loss": 0.34095, "time": 0.7324} -{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.21303, "decode.acc_seg": 73.39479, "aux.loss_seg": 0.11236, "aux.acc_seg": 71.63909, "loss": 0.32539, "time": 0.73314} -{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.19414, "decode.acc_seg": 73.36856, "aux.loss_seg": 0.10443, "aux.acc_seg": 71.67485, "loss": 0.29857, "time": 0.73464} -{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.20387, "decode.acc_seg": 74.34503, "aux.loss_seg": 0.10841, "aux.acc_seg": 72.59162, "loss": 0.31228, "time": 0.73074} -{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.1877, "decode.acc_seg": 73.49452, "aux.loss_seg": 0.10261, "aux.acc_seg": 71.68321, "loss": 0.2903, "time": 0.72742} -{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20274, "decode.acc_seg": 73.17812, "aux.loss_seg": 0.10654, "aux.acc_seg": 71.53705, "loss": 0.30928, "time": 0.72874} -{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20485, "decode.acc_seg": 74.09579, "aux.loss_seg": 0.11124, "aux.acc_seg": 72.21757, "loss": 0.31609, "time": 0.73161} -{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 26851, "data_time": 0.24878, "decode.loss_seg": 0.20574, "decode.acc_seg": 74.10845, "aux.loss_seg": 0.1102, "aux.acc_seg": 72.22672, "loss": 0.31594, "time": 0.97015} -{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.19207, "decode.acc_seg": 72.01077, "aux.loss_seg": 0.10267, "aux.acc_seg": 70.32735, "loss": 0.29473, "time": 0.73122} -{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.19919, "decode.acc_seg": 76.44908, "aux.loss_seg": 0.10907, "aux.acc_seg": 74.43653, "loss": 0.30825, "time": 0.72874} -{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.21052, "decode.acc_seg": 72.80501, "aux.loss_seg": 0.11124, "aux.acc_seg": 71.03501, "loss": 0.32176, "time": 0.72715} -{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.206, "decode.acc_seg": 74.1452, "aux.loss_seg": 0.11029, "aux.acc_seg": 72.28503, "loss": 0.31629, "time": 0.72761} -{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.1998, "decode.acc_seg": 73.89528, "aux.loss_seg": 0.10646, "aux.acc_seg": 72.21632, "loss": 0.30626, "time": 0.72678} -{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.20531, "decode.acc_seg": 74.41118, "aux.loss_seg": 0.10843, "aux.acc_seg": 72.90779, "loss": 0.31374, "time": 0.72914} -{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.20667, "decode.acc_seg": 73.77244, "aux.loss_seg": 0.11106, "aux.acc_seg": 71.79725, "loss": 0.31773, "time": 0.73148} -{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.20005, "decode.acc_seg": 73.65159, "aux.loss_seg": 0.10682, "aux.acc_seg": 71.85251, "loss": 0.30686, "time": 0.73541} -{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 26851, "data_time": 0.00886, "decode.loss_seg": 0.20886, "decode.acc_seg": 72.26941, "aux.loss_seg": 0.11481, "aux.acc_seg": 70.25452, "loss": 0.32367, "time": 0.72892} -{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.20532, "decode.acc_seg": 74.63663, "aux.loss_seg": 0.10823, "aux.acc_seg": 72.88792, "loss": 0.31355, "time": 0.72418} -{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.20043, "decode.acc_seg": 74.19617, "aux.loss_seg": 0.10852, "aux.acc_seg": 72.33365, "loss": 0.30895, "time": 0.72838} -{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.47897, "aux.loss_seg": 0.10442, "aux.acc_seg": 71.75811, "loss": 0.29893, "time": 0.73114} -{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.19161, "decode.acc_seg": 73.91662, "aux.loss_seg": 0.10242, "aux.acc_seg": 72.25319, "loss": 0.29403, "time": 0.72878} -{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.20697, "decode.acc_seg": 74.23226, "aux.loss_seg": 0.11098, "aux.acc_seg": 72.39995, "loss": 0.31795, "time": 0.72658} -{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.21037, "decode.acc_seg": 73.96366, "aux.loss_seg": 0.11026, "aux.acc_seg": 72.18341, "loss": 0.32064, "time": 0.72868} -{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19064, "decode.acc_seg": 73.62162, "aux.loss_seg": 0.10214, "aux.acc_seg": 72.02661, "loss": 0.29278, "time": 0.72747} -{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.20019, "decode.acc_seg": 74.22624, "aux.loss_seg": 0.10665, "aux.acc_seg": 72.32708, "loss": 0.30684, "time": 0.72977} -{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.53906, "aux.loss_seg": 0.10373, "aux.acc_seg": 71.84188, "loss": 0.29825, "time": 0.72984} -{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.21389, "decode.acc_seg": 72.80032, "aux.loss_seg": 0.11341, "aux.acc_seg": 70.94598, "loss": 0.3273, "time": 0.72837} -{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.21572, "decode.acc_seg": 74.76056, "aux.loss_seg": 0.1141, "aux.acc_seg": 72.95562, "loss": 0.32983, "time": 0.72937} -{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.21006, "decode.acc_seg": 72.79007, "aux.loss_seg": 0.1107, "aux.acc_seg": 70.9486, "loss": 0.32076, "time": 0.72934} -{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.20385, "decode.acc_seg": 74.75954, "aux.loss_seg": 0.11011, "aux.acc_seg": 72.92793, "loss": 0.31396, "time": 0.73512} -{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.20256, "decode.acc_seg": 73.52514, "aux.loss_seg": 0.10626, "aux.acc_seg": 71.85498, "loss": 0.30882, "time": 0.73417} -{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.20273, "decode.acc_seg": 74.4278, "aux.loss_seg": 0.10927, "aux.acc_seg": 72.55432, "loss": 0.31199, "time": 0.72909} -{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 26851, "data_time": 0.23019, "decode.loss_seg": 0.2049, "decode.acc_seg": 75.84885, "aux.loss_seg": 0.11029, "aux.acc_seg": 73.83958, "loss": 0.31519, "time": 0.94955} -{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.20639, "decode.acc_seg": 73.67438, "aux.loss_seg": 0.10991, "aux.acc_seg": 71.96414, "loss": 0.31631, "time": 0.72865} -{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.20719, "decode.acc_seg": 73.66755, "aux.loss_seg": 0.11286, "aux.acc_seg": 71.72857, "loss": 0.32005, "time": 0.73494} -{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.19471, "decode.acc_seg": 75.40614, "aux.loss_seg": 0.10532, "aux.acc_seg": 73.57402, "loss": 0.30003, "time": 0.73208} -{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20753, "decode.acc_seg": 74.68147, "aux.loss_seg": 0.11147, "aux.acc_seg": 72.86671, "loss": 0.319, "time": 0.73587} -{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.20034, "decode.acc_seg": 74.16365, "aux.loss_seg": 0.11042, "aux.acc_seg": 72.21721, "loss": 0.31076, "time": 0.73974} -{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.19654, "decode.acc_seg": 74.67318, "aux.loss_seg": 0.10682, "aux.acc_seg": 72.77246, "loss": 0.30336, "time": 0.72912} -{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.19199, "decode.acc_seg": 72.99188, "aux.loss_seg": 0.10426, "aux.acc_seg": 71.1925, "loss": 0.29626, "time": 0.73002} -{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.1949, "decode.acc_seg": 74.20824, "aux.loss_seg": 0.10334, "aux.acc_seg": 72.55051, "loss": 0.29824, "time": 0.72704} -{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.19204, "decode.acc_seg": 74.14963, "aux.loss_seg": 0.10411, "aux.acc_seg": 72.34229, "loss": 0.29615, "time": 0.72221} -{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.19889, "decode.acc_seg": 74.62147, "aux.loss_seg": 0.10652, "aux.acc_seg": 72.73408, "loss": 0.30541, "time": 0.72832} -{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.20463, "decode.acc_seg": 74.28428, "aux.loss_seg": 0.11073, "aux.acc_seg": 72.37298, "loss": 0.31536, "time": 0.72944} -{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.20798, "decode.acc_seg": 74.15728, "aux.loss_seg": 0.11187, "aux.acc_seg": 72.37881, "loss": 0.31985, "time": 0.72817} -{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.20163, "decode.acc_seg": 74.6359, "aux.loss_seg": 0.10804, "aux.acc_seg": 72.84241, "loss": 0.30967, "time": 0.72383} -{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.20465, "decode.acc_seg": 74.74207, "aux.loss_seg": 0.10948, "aux.acc_seg": 73.02896, "loss": 0.31413, "time": 0.72319} -{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.20134, "decode.acc_seg": 74.26191, "aux.loss_seg": 0.10719, "aux.acc_seg": 72.56268, "loss": 0.30853, "time": 0.73391} -{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.20487, "decode.acc_seg": 74.42118, "aux.loss_seg": 0.1112, "aux.acc_seg": 72.54479, "loss": 0.31606, "time": 0.72892} -{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19513, "decode.acc_seg": 72.87453, "aux.loss_seg": 0.10392, "aux.acc_seg": 71.13614, "loss": 0.29905, "time": 0.72897} -{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.21104, "decode.acc_seg": 73.38298, "aux.loss_seg": 0.11235, "aux.acc_seg": 71.64666, "loss": 0.32338, "time": 0.72531} -{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.20226, "decode.acc_seg": 74.71569, "aux.loss_seg": 0.10706, "aux.acc_seg": 72.93636, "loss": 0.30932, "time": 0.72114} -{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.21222, "decode.acc_seg": 72.82306, "aux.loss_seg": 0.11339, "aux.acc_seg": 70.9311, "loss": 0.32561, "time": 0.72691} -{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.20834, "decode.acc_seg": 73.16081, "aux.loss_seg": 0.11089, "aux.acc_seg": 71.40261, "loss": 0.31924, "time": 0.73005} -{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.19666, "decode.acc_seg": 74.44863, "aux.loss_seg": 0.10586, "aux.acc_seg": 72.71242, "loss": 0.30252, "time": 0.73066} -{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.19885, "decode.acc_seg": 73.34013, "aux.loss_seg": 0.10987, "aux.acc_seg": 71.25658, "loss": 0.30872, "time": 0.72421} -{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.21306, "decode.acc_seg": 73.54994, "aux.loss_seg": 0.11217, "aux.acc_seg": 71.802, "loss": 0.32523, "time": 0.72676} -{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 26851, "data_time": 0.24862, "decode.loss_seg": 0.1962, "decode.acc_seg": 73.1883, "aux.loss_seg": 0.10237, "aux.acc_seg": 71.53344, "loss": 0.29857, "time": 0.96733} -{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 26851, "data_time": 0.00888, "decode.loss_seg": 0.19787, "decode.acc_seg": 73.48688, "aux.loss_seg": 0.1062, "aux.acc_seg": 71.67725, "loss": 0.30408, "time": 0.72865} -{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18879, "decode.acc_seg": 74.6523, "aux.loss_seg": 0.10115, "aux.acc_seg": 73.00572, "loss": 0.28994, "time": 0.72921} -{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.20951, "decode.acc_seg": 73.27544, "aux.loss_seg": 0.11054, "aux.acc_seg": 71.54281, "loss": 0.32004, "time": 0.7303} -{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 26851, "data_time": 0.00929, "decode.loss_seg": 0.19392, "decode.acc_seg": 73.71528, "aux.loss_seg": 0.10551, "aux.acc_seg": 71.80892, "loss": 0.29943, "time": 0.72659} -{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.20331, "decode.acc_seg": 74.09903, "aux.loss_seg": 0.10793, "aux.acc_seg": 72.43907, "loss": 0.31125, "time": 0.72641} -{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.1921, "decode.acc_seg": 74.12479, "aux.loss_seg": 0.10291, "aux.acc_seg": 72.35482, "loss": 0.295, "time": 0.72952} -{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.19191, "decode.acc_seg": 75.46141, "aux.loss_seg": 0.10143, "aux.acc_seg": 73.66767, "loss": 0.29335, "time": 0.72872} -{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.19808, "decode.acc_seg": 74.1216, "aux.loss_seg": 0.10515, "aux.acc_seg": 72.39916, "loss": 0.30324, "time": 0.73164} -{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.20414, "decode.acc_seg": 75.41673, "aux.loss_seg": 0.11046, "aux.acc_seg": 73.51536, "loss": 0.31459, "time": 0.73116} -{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.19764, "decode.acc_seg": 75.0159, "aux.loss_seg": 0.10534, "aux.acc_seg": 73.27456, "loss": 0.30298, "time": 0.73309} -{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.19318, "decode.acc_seg": 73.06875, "aux.loss_seg": 0.10442, "aux.acc_seg": 71.23723, "loss": 0.29761, "time": 0.72709} -{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.19099, "decode.acc_seg": 73.43133, "aux.loss_seg": 0.10149, "aux.acc_seg": 71.66942, "loss": 0.29248, "time": 0.72475} -{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.20633, "decode.acc_seg": 73.63111, "aux.loss_seg": 0.11024, "aux.acc_seg": 71.84387, "loss": 0.31657, "time": 0.73052} -{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.1974, "decode.acc_seg": 75.6228, "aux.loss_seg": 0.10844, "aux.acc_seg": 73.71504, "loss": 0.30584, "time": 0.73002} -{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.20548, "decode.acc_seg": 73.97817, "aux.loss_seg": 0.11003, "aux.acc_seg": 72.19191, "loss": 0.31551, "time": 0.72928} -{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.194, "decode.acc_seg": 74.25556, "aux.loss_seg": 0.10521, "aux.acc_seg": 72.44633, "loss": 0.29921, "time": 0.72453} -{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4707, "mAcc": 0.594, "aAcc": 0.8196, "IoU.wall": 0.7572, "IoU.building": 0.8075, "IoU.sky": 0.9386, "IoU.floor": 0.8091, "IoU.tree": 0.7366, "IoU.ceiling": 0.8355, "IoU.road": 0.8358, "IoU.bed ": 0.8636, "IoU.windowpane": 0.5958, "IoU.grass": 0.6498, "IoU.cabinet": 0.5813, "IoU.sidewalk": 0.6632, "IoU.person": 0.7774, "IoU.earth": 0.3649, "IoU.door": 0.4394, "IoU.table": 0.5624, "IoU.mountain": 0.55, "IoU.plant": 0.5294, "IoU.curtain": 0.7093, "IoU.chair": 0.5409, "IoU.car": 0.8155, "IoU.water": 0.5094, "IoU.painting": 0.7125, "IoU.sofa": 0.5955, "IoU.shelf": 0.4212, "IoU.house": 0.458, "IoU.sea": 0.4897, "IoU.mirror": 0.5991, "IoU.rug": 0.6394, "IoU.field": 0.263, "IoU.armchair": 0.4195, "IoU.seat": 0.6248, "IoU.fence": 0.4115, "IoU.desk": 0.4697, "IoU.rock": 0.4409, "IoU.wardrobe": 0.4636, "IoU.lamp": 0.5949, "IoU.bathtub": 0.7549, "IoU.railing": 0.3394, "IoU.cushion": 0.5329, "IoU.base": 0.3263, "IoU.box": 0.2472, "IoU.column": 0.4259, "IoU.signboard": 0.3639, "IoU.chest of drawers": 0.3712, "IoU.counter": 0.3683, "IoU.sand": 0.5295, "IoU.sink": 0.7038, "IoU.skyscraper": 0.4501, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6656, "IoU.grandstand": 0.4063, "IoU.path": 0.2612, "IoU.stairs": 0.2761, "IoU.runway": 0.6703, "IoU.case": 0.4618, "IoU.pool table": 0.9045, "IoU.pillow": 0.552, "IoU.screen door": 0.6856, "IoU.stairway": 0.2836, "IoU.river": 0.1308, "IoU.bridge": 0.6774, "IoU.bookcase": 0.4337, "IoU.blind": NaN, "IoU.coffee table": 0.5311, "IoU.toilet": 0.8175, "IoU.flower": 0.4357, "IoU.book": 0.4474, "IoU.hill": 0.1196, "IoU.bench": 0.5128, "IoU.countertop": 0.5461, "IoU.stove": 0.7059, "IoU.palm": 0.4931, "IoU.kitchen island": 0.3282, "IoU.computer": 0.5957, "IoU.swivel chair": 0.4347, "IoU.boat": 0.4065, "IoU.bar": 0.2921, "IoU.arcade machine": 0.6964, "IoU.hovel": 0.0984, "IoU.bus": 0.8071, "IoU.towel": 0.617, "IoU.light": 0.54, "IoU.truck": 0.1837, "IoU.tower": 0.063, "IoU.chandelier": 0.6474, "IoU.awning": 0.2891, "IoU.streetlight": 0.2018, "IoU.booth": 0.5296, "IoU.television receiver": NaN, "IoU.airplane": 0.5801, "IoU.dirt track": 0.1004, "IoU.apparel": 0.2877, "IoU.pole": 0.1747, "IoU.land": 0.0275, "IoU.bannister": 0.0911, "IoU.escalator": 0.3733, "IoU.ottoman": 0.4018, "IoU.bottle": NaN, "IoU.buffet": 0.3119, "IoU.poster": 0.2409, "IoU.stage": 0.2048, "IoU.van": 0.3879, "IoU.ship": 0.539, "IoU.fountain": 0.2966, "IoU.conveyer belt": 0.7194, "IoU.canopy": 0.2593, "IoU.washer": 0.6994, "IoU.plaything": 0.2134, "IoU.swimming pool": 0.6607, "IoU.stool": 0.3804, "IoU.barrel": 0.5361, "IoU.basket": 0.3206, "IoU.waterfall": 0.4621, "IoU.tent": 0.7719, "IoU.bag": 0.1839, "IoU.minibike": 0.7118, "IoU.cradle": NaN, "IoU.oven": 0.3517, "IoU.ball": 0.4201, "IoU.food": 0.5218, "IoU.step": 0.0787, "IoU.tank": 0.428, "IoU.trade name": 0.2264, "IoU.microwave": 0.7287, "IoU.pot": 0.5409, "IoU.animal": NaN, "IoU.bicycle": 0.5356, "IoU.lake": 0.5194, "IoU.dishwasher": 0.4895, "IoU.screen": 0.6766, "IoU.blanket": 0.1619, "IoU.sculpture": 0.656, "IoU.hood": 0.5703, "IoU.sconce": 0.4078, "IoU.vase": 0.3711, "IoU.traffic light": 0.2861, "IoU.tray": 0.0746, "IoU.ashcan": 0.3518, "IoU.fan": 0.5772, "IoU.pier": 0.4229, "IoU.crt screen": 0.0706, "IoU.plate": 0.5591, "IoU.monitor": 0.101, "IoU.bulletin board": 0.405, "IoU.shower": 0.0326, "IoU.radiator": 0.5409, "IoU.glass": 0.131, "IoU.clock": 0.4004, "IoU.flag": 0.5724, "Acc.wall": 0.8632, "Acc.building": 0.9375, "Acc.sky": 0.9743, "Acc.floor": 0.8943, "Acc.tree": 0.8527, "Acc.ceiling": 0.9095, "Acc.road": 0.9089, "Acc.bed ": 0.9536, "Acc.windowpane": 0.7626, "Acc.grass": 0.809, "Acc.cabinet": 0.7389, "Acc.sidewalk": 0.819, "Acc.person": 0.9168, "Acc.earth": 0.4841, "Acc.door": 0.5811, "Acc.table": 0.7485, "Acc.mountain": 0.6975, "Acc.plant": 0.6466, "Acc.curtain": 0.8273, "Acc.chair": 0.6708, "Acc.car": 0.89, "Acc.water": 0.6717, "Acc.painting": 0.8462, "Acc.sofa": 0.7768, "Acc.shelf": 0.5699, "Acc.house": 0.6177, "Acc.sea": 0.7014, "Acc.mirror": 0.6989, "Acc.rug": 0.7657, "Acc.field": 0.4414, "Acc.armchair": 0.5807, "Acc.seat": 0.831, "Acc.fence": 0.5367, "Acc.desk": 0.6513, "Acc.rock": 0.6953, "Acc.wardrobe": 0.6098, "Acc.lamp": 0.7319, "Acc.bathtub": 0.8128, "Acc.railing": 0.4603, "Acc.cushion": 0.6758, "Acc.base": 0.4712, "Acc.box": 0.3127, "Acc.column": 0.5399, "Acc.signboard": 0.5237, "Acc.chest of drawers": 0.5431, "Acc.counter": 0.4224, "Acc.sand": 0.7417, "Acc.sink": 0.7822, "Acc.skyscraper": 0.6011, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7513, "Acc.grandstand": 0.589, "Acc.path": 0.4017, "Acc.stairs": 0.3427, "Acc.runway": 0.8721, "Acc.case": 0.6225, "Acc.pool table": 0.9664, "Acc.pillow": 0.6776, "Acc.screen door": 0.7536, "Acc.stairway": 0.3803, "Acc.river": 0.2867, "Acc.bridge": 0.8243, "Acc.bookcase": 0.5525, "Acc.blind": NaN, "Acc.coffee table": 0.7777, "Acc.toilet": 0.8888, "Acc.flower": 0.6041, "Acc.book": 0.6612, "Acc.hill": 0.2243, "Acc.bench": 0.61, "Acc.countertop": 0.7559, "Acc.stove": 0.8378, "Acc.palm": 0.7326, "Acc.kitchen island": 0.6242, "Acc.computer": 0.7155, "Acc.swivel chair": 0.6633, "Acc.boat": 0.4814, "Acc.bar": 0.3619, "Acc.arcade machine": 0.7662, "Acc.hovel": 0.1298, "Acc.bus": 0.9588, "Acc.towel": 0.7741, "Acc.light": 0.6342, "Acc.truck": 0.2688, "Acc.tower": 0.0905, "Acc.chandelier": 0.8394, "Acc.awning": 0.3405, "Acc.streetlight": 0.2616, "Acc.booth": 0.6282, "Acc.television receiver": NaN, "Acc.airplane": 0.6542, "Acc.dirt track": 0.1778, "Acc.apparel": 0.4007, "Acc.pole": 0.2347, "Acc.land": 0.0373, "Acc.bannister": 0.1246, "Acc.escalator": 0.4853, "Acc.ottoman": 0.5797, "Acc.bottle": NaN, "Acc.buffet": 0.3536, "Acc.poster": 0.3362, "Acc.stage": 0.2653, "Acc.van": 0.5583, "Acc.ship": 0.9679, "Acc.fountain": 0.322, "Acc.conveyer belt": 0.8675, "Acc.canopy": 0.3599, "Acc.washer": 0.7421, "Acc.plaything": 0.3512, "Acc.swimming pool": 0.8048, "Acc.stool": 0.4876, "Acc.barrel": 0.6869, "Acc.basket": 0.4078, "Acc.waterfall": 0.5262, "Acc.tent": 0.9793, "Acc.bag": 0.2384, "Acc.minibike": 0.9007, "Acc.cradle": NaN, "Acc.oven": 0.4536, "Acc.ball": 0.4957, "Acc.food": 0.5864, "Acc.step": 0.093, "Acc.tank": 0.4993, "Acc.trade name": 0.2579, "Acc.microwave": 0.828, "Acc.pot": 0.6051, "Acc.animal": NaN, "Acc.bicycle": 0.7726, "Acc.lake": 0.5784, "Acc.dishwasher": 0.6048, "Acc.screen": 0.9251, "Acc.blanket": 0.19, "Acc.sculpture": 0.778, "Acc.hood": 0.7183, "Acc.sconce": 0.5046, "Acc.vase": 0.5252, "Acc.traffic light": 0.4483, "Acc.tray": 0.1447, "Acc.ashcan": 0.4586, "Acc.fan": 0.7542, "Acc.pier": 0.6723, "Acc.crt screen": 0.1811, "Acc.plate": 0.7249, "Acc.monitor": 0.1287, "Acc.bulletin board": 0.6324, "Acc.shower": 0.0463, "Acc.radiator": 0.6557, "Acc.glass": 0.1398, "Acc.clock": 0.4682, "Acc.flag": 0.6626} -{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 26851, "data_time": 1.97479, "decode.loss_seg": 0.20382, "decode.acc_seg": 72.90723, "aux.loss_seg": 0.10861, "aux.acc_seg": 71.13164, "loss": 0.31244, "time": 2.69373} -{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.21356, "decode.acc_seg": 73.16929, "aux.loss_seg": 0.11448, "aux.acc_seg": 71.26993, "loss": 0.32804, "time": 0.73415} -{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.21064, "decode.acc_seg": 73.90697, "aux.loss_seg": 0.11152, "aux.acc_seg": 72.1225, "loss": 0.32216, "time": 0.73223} -{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 26851, "data_time": 0.00952, "decode.loss_seg": 0.2011, "decode.acc_seg": 73.85633, "aux.loss_seg": 0.10613, "aux.acc_seg": 72.11913, "loss": 0.30722, "time": 0.72873} -{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20554, "decode.acc_seg": 73.41112, "aux.loss_seg": 0.10828, "aux.acc_seg": 71.71578, "loss": 0.31382, "time": 0.72892} -{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.20133, "decode.acc_seg": 75.11922, "aux.loss_seg": 0.10742, "aux.acc_seg": 73.34163, "loss": 0.30874, "time": 0.73648} -{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.20046, "decode.acc_seg": 74.82039, "aux.loss_seg": 0.10712, "aux.acc_seg": 73.01144, "loss": 0.30758, "time": 0.73325} -{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.19091, "decode.acc_seg": 74.40922, "aux.loss_seg": 0.10207, "aux.acc_seg": 72.67887, "loss": 0.29298, "time": 0.73138} -{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 26851, "data_time": 0.24968, "decode.loss_seg": 0.19833, "decode.acc_seg": 74.35288, "aux.loss_seg": 0.10504, "aux.acc_seg": 72.62465, "loss": 0.30337, "time": 0.96901} -{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.19692, "decode.acc_seg": 73.70967, "aux.loss_seg": 0.10911, "aux.acc_seg": 71.71902, "loss": 0.30603, "time": 0.73561} -{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.20289, "decode.acc_seg": 72.89498, "aux.loss_seg": 0.11107, "aux.acc_seg": 71.04515, "loss": 0.31396, "time": 0.72892} -{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.20301, "decode.acc_seg": 74.56216, "aux.loss_seg": 0.10866, "aux.acc_seg": 72.68567, "loss": 0.31167, "time": 0.73002} -{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.1982, "decode.acc_seg": 74.94409, "aux.loss_seg": 0.10666, "aux.acc_seg": 73.17744, "loss": 0.30486, "time": 0.73233} -{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19417, "decode.acc_seg": 74.72624, "aux.loss_seg": 0.10608, "aux.acc_seg": 72.86795, "loss": 0.30025, "time": 0.73833} -{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.19919, "decode.acc_seg": 74.63015, "aux.loss_seg": 0.10796, "aux.acc_seg": 72.79002, "loss": 0.30715, "time": 0.73011} -{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19314, "decode.acc_seg": 74.21757, "aux.loss_seg": 0.10467, "aux.acc_seg": 72.39459, "loss": 0.29781, "time": 0.73019} -{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.19495, "decode.acc_seg": 73.1387, "aux.loss_seg": 0.10476, "aux.acc_seg": 71.39219, "loss": 0.29971, "time": 0.73346} -{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.19391, "decode.acc_seg": 76.4049, "aux.loss_seg": 0.10527, "aux.acc_seg": 74.58192, "loss": 0.29917, "time": 0.73467} -{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.19769, "decode.acc_seg": 75.1846, "aux.loss_seg": 0.10604, "aux.acc_seg": 73.41559, "loss": 0.30373, "time": 0.7318} -{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.20994, "decode.acc_seg": 74.02523, "aux.loss_seg": 0.11359, "aux.acc_seg": 71.98971, "loss": 0.32352, "time": 0.7365} -{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20888, "decode.acc_seg": 73.3459, "aux.loss_seg": 0.11091, "aux.acc_seg": 71.67251, "loss": 0.31979, "time": 0.73622} -{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.19127, "decode.acc_seg": 73.72496, "aux.loss_seg": 0.10208, "aux.acc_seg": 72.17403, "loss": 0.29336, "time": 0.73567} -{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.19311, "decode.acc_seg": 72.92594, "aux.loss_seg": 0.10479, "aux.acc_seg": 71.09052, "loss": 0.29789, "time": 0.72823} -{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.20292, "decode.acc_seg": 74.03442, "aux.loss_seg": 0.10874, "aux.acc_seg": 72.19214, "loss": 0.31166, "time": 0.72904} -{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.20819, "decode.acc_seg": 73.07825, "aux.loss_seg": 0.10981, "aux.acc_seg": 71.38922, "loss": 0.31801, "time": 0.73435} -{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19254, "decode.acc_seg": 75.00486, "aux.loss_seg": 0.10239, "aux.acc_seg": 73.28625, "loss": 0.29493, "time": 0.73455} -{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19725, "decode.acc_seg": 74.04898, "aux.loss_seg": 0.10568, "aux.acc_seg": 72.29506, "loss": 0.30293, "time": 0.73167} -{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.19575, "decode.acc_seg": 73.17246, "aux.loss_seg": 0.10329, "aux.acc_seg": 71.5586, "loss": 0.29904, "time": 0.73705} -{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.20847, "decode.acc_seg": 74.11201, "aux.loss_seg": 0.11257, "aux.acc_seg": 72.23688, "loss": 0.32104, "time": 0.73262} -{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.20791, "decode.acc_seg": 74.40045, "aux.loss_seg": 0.11026, "aux.acc_seg": 72.68119, "loss": 0.31817, "time": 0.73113} -{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.20306, "decode.acc_seg": 74.54833, "aux.loss_seg": 0.10794, "aux.acc_seg": 72.77409, "loss": 0.311, "time": 0.72907} -{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.20942, "decode.acc_seg": 73.37294, "aux.loss_seg": 0.11074, "aux.acc_seg": 71.65066, "loss": 0.32016, "time": 0.73337} -{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.20947, "decode.acc_seg": 72.60913, "aux.loss_seg": 0.11296, "aux.acc_seg": 70.69211, "loss": 0.32243, "time": 0.73177} -{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 26851, "data_time": 0.25473, "decode.loss_seg": 0.19081, "decode.acc_seg": 73.70906, "aux.loss_seg": 0.10135, "aux.acc_seg": 72.04789, "loss": 0.29216, "time": 0.97873} -{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.2006, "decode.acc_seg": 73.50272, "aux.loss_seg": 0.10686, "aux.acc_seg": 71.80884, "loss": 0.30747, "time": 0.74032} -{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.19519, "decode.acc_seg": 74.42046, "aux.loss_seg": 0.10543, "aux.acc_seg": 72.727, "loss": 0.30062, "time": 0.74003} -{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.20088, "decode.acc_seg": 74.46313, "aux.loss_seg": 0.10746, "aux.acc_seg": 72.6478, "loss": 0.30834, "time": 0.73216} -{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.20458, "decode.acc_seg": 73.39238, "aux.loss_seg": 0.11083, "aux.acc_seg": 71.50583, "loss": 0.3154, "time": 0.73274} -{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.19049, "decode.acc_seg": 74.13666, "aux.loss_seg": 0.10222, "aux.acc_seg": 72.39472, "loss": 0.29271, "time": 0.73277} -{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.19451, "decode.acc_seg": 73.7264, "aux.loss_seg": 0.10329, "aux.acc_seg": 72.12532, "loss": 0.2978, "time": 0.73336} -{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19323, "decode.acc_seg": 74.34107, "aux.loss_seg": 0.10434, "aux.acc_seg": 72.51873, "loss": 0.29756, "time": 0.7368} -{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.19411, "decode.acc_seg": 74.60305, "aux.loss_seg": 0.10489, "aux.acc_seg": 72.88652, "loss": 0.299, "time": 0.72671} -{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.20475, "decode.acc_seg": 73.10481, "aux.loss_seg": 0.10921, "aux.acc_seg": 71.32765, "loss": 0.31396, "time": 0.72959} -{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.20537, "decode.acc_seg": 73.55943, "aux.loss_seg": 0.11108, "aux.acc_seg": 71.61253, "loss": 0.31645, "time": 0.7308} -{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.20826, "decode.acc_seg": 74.02594, "aux.loss_seg": 0.11081, "aux.acc_seg": 72.20293, "loss": 0.31907, "time": 0.73564} -{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.20081, "decode.acc_seg": 74.37624, "aux.loss_seg": 0.10988, "aux.acc_seg": 72.38084, "loss": 0.31069, "time": 0.73286} -{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.19251, "decode.acc_seg": 74.1086, "aux.loss_seg": 0.10288, "aux.acc_seg": 72.36522, "loss": 0.2954, "time": 0.72932} -{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20599, "decode.acc_seg": 75.98201, "aux.loss_seg": 0.11186, "aux.acc_seg": 74.01202, "loss": 0.31784, "time": 0.72658} -{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.20662, "decode.acc_seg": 74.96235, "aux.loss_seg": 0.11106, "aux.acc_seg": 73.05807, "loss": 0.31768, "time": 0.72596} -{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.19895, "decode.acc_seg": 74.33289, "aux.loss_seg": 0.10569, "aux.acc_seg": 72.65941, "loss": 0.30463, "time": 0.73506} -{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.19635, "decode.acc_seg": 74.76596, "aux.loss_seg": 0.10631, "aux.acc_seg": 72.83033, "loss": 0.30266, "time": 0.73025} -{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.19775, "decode.acc_seg": 73.40316, "aux.loss_seg": 0.1048, "aux.acc_seg": 71.77245, "loss": 0.30255, "time": 0.73282} -{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.20344, "decode.acc_seg": 73.78117, "aux.loss_seg": 0.10751, "aux.acc_seg": 71.98109, "loss": 0.31095, "time": 0.73103} -{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.19215, "decode.acc_seg": 74.87645, "aux.loss_seg": 0.10381, "aux.acc_seg": 73.10209, "loss": 0.29596, "time": 0.7271} -{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.19484, "decode.acc_seg": 74.38593, "aux.loss_seg": 0.10573, "aux.acc_seg": 72.53488, "loss": 0.30057, "time": 0.72689} -{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.20049, "decode.acc_seg": 74.18578, "aux.loss_seg": 0.10494, "aux.acc_seg": 72.49484, "loss": 0.30543, "time": 0.73201} -{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.20956, "decode.acc_seg": 73.82272, "aux.loss_seg": 0.1105, "aux.acc_seg": 72.19578, "loss": 0.32006, "time": 0.73071} -{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 26851, "data_time": 0.00916, "decode.loss_seg": 0.19285, "decode.acc_seg": 74.95517, "aux.loss_seg": 0.10465, "aux.acc_seg": 73.13227, "loss": 0.29751, "time": 0.73257} -{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 26851, "data_time": 0.24854, "decode.loss_seg": 0.19525, "decode.acc_seg": 73.97657, "aux.loss_seg": 0.10459, "aux.acc_seg": 72.33465, "loss": 0.29985, "time": 0.97245} -{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19482, "decode.acc_seg": 73.66819, "aux.loss_seg": 0.10297, "aux.acc_seg": 72.02788, "loss": 0.29779, "time": 0.7288} -{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.20215, "decode.acc_seg": 74.1172, "aux.loss_seg": 0.11117, "aux.acc_seg": 72.03555, "loss": 0.31332, "time": 0.72744} -{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.19374, "decode.acc_seg": 74.76802, "aux.loss_seg": 0.10599, "aux.acc_seg": 72.81289, "loss": 0.29973, "time": 0.72571} -{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18638, "decode.acc_seg": 73.39691, "aux.loss_seg": 0.1022, "aux.acc_seg": 71.49083, "loss": 0.28858, "time": 0.73081} -{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19674, "decode.acc_seg": 74.34945, "aux.loss_seg": 0.10484, "aux.acc_seg": 72.61358, "loss": 0.30159, "time": 0.74072} -{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.19472, "decode.acc_seg": 75.00917, "aux.loss_seg": 0.10412, "aux.acc_seg": 73.27004, "loss": 0.29884, "time": 0.72498} -{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.19334, "decode.acc_seg": 75.11891, "aux.loss_seg": 0.10396, "aux.acc_seg": 73.2518, "loss": 0.2973, "time": 0.7361} -{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.1914, "decode.acc_seg": 74.23035, "aux.loss_seg": 0.10195, "aux.acc_seg": 72.59524, "loss": 0.29335, "time": 0.72696} -{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.19872, "decode.acc_seg": 73.74375, "aux.loss_seg": 0.10554, "aux.acc_seg": 72.06472, "loss": 0.30426, "time": 0.72777} -{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.20386, "decode.acc_seg": 74.74368, "aux.loss_seg": 0.10884, "aux.acc_seg": 72.87003, "loss": 0.3127, "time": 0.73008} -{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.20926, "decode.acc_seg": 73.59358, "aux.loss_seg": 0.11078, "aux.acc_seg": 71.89602, "loss": 0.32004, "time": 0.73122} -{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.20471, "decode.acc_seg": 74.73769, "aux.loss_seg": 0.1106, "aux.acc_seg": 72.85941, "loss": 0.3153, "time": 0.73444} -{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.18592, "decode.acc_seg": 75.0974, "aux.loss_seg": 0.10116, "aux.acc_seg": 73.32936, "loss": 0.28709, "time": 0.72797} -{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.19038, "decode.acc_seg": 74.85782, "aux.loss_seg": 0.10326, "aux.acc_seg": 73.02368, "loss": 0.29364, "time": 0.72666} -{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19816, "decode.acc_seg": 74.90361, "aux.loss_seg": 0.10468, "aux.acc_seg": 73.17644, "loss": 0.30284, "time": 0.73155} -{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.1958, "decode.acc_seg": 74.05251, "aux.loss_seg": 0.10724, "aux.acc_seg": 72.20202, "loss": 0.30304, "time": 0.72921} -{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.20315, "decode.acc_seg": 74.02119, "aux.loss_seg": 0.11153, "aux.acc_seg": 72.11705, "loss": 0.31468, "time": 0.73458} -{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.20638, "decode.acc_seg": 74.48773, "aux.loss_seg": 0.11271, "aux.acc_seg": 72.48317, "loss": 0.31909, "time": 0.72653} -{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19317, "decode.acc_seg": 74.45111, "aux.loss_seg": 0.1045, "aux.acc_seg": 72.70939, "loss": 0.29767, "time": 0.72263} -{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.19314, "decode.acc_seg": 74.96596, "aux.loss_seg": 0.10388, "aux.acc_seg": 73.16212, "loss": 0.29702, "time": 0.7257} -{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.20059, "decode.acc_seg": 73.22192, "aux.loss_seg": 0.10786, "aux.acc_seg": 71.47283, "loss": 0.30845, "time": 0.73367} -{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19645, "decode.acc_seg": 73.97838, "aux.loss_seg": 0.10482, "aux.acc_seg": 72.26112, "loss": 0.30127, "time": 0.73387} -{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.18363, "decode.acc_seg": 74.89601, "aux.loss_seg": 0.09692, "aux.acc_seg": 73.34191, "loss": 0.28055, "time": 0.72175} -{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.18329, "decode.acc_seg": 74.26632, "aux.loss_seg": 0.09801, "aux.acc_seg": 72.56444, "loss": 0.2813, "time": 0.73041} -{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 26851, "data_time": 0.24622, "decode.loss_seg": 0.18559, "decode.acc_seg": 73.06734, "aux.loss_seg": 0.09878, "aux.acc_seg": 71.51645, "loss": 0.28436, "time": 0.9634} -{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.19383, "decode.acc_seg": 72.00935, "aux.loss_seg": 0.10323, "aux.acc_seg": 70.30002, "loss": 0.29705, "time": 0.73276} -{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.18931, "decode.acc_seg": 73.5814, "aux.loss_seg": 0.10263, "aux.acc_seg": 71.71836, "loss": 0.29194, "time": 0.72846} -{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.19063, "decode.acc_seg": 74.08899, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.18943, "loss": 0.29472, "time": 0.73035} -{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.20484, "decode.acc_seg": 73.62788, "aux.loss_seg": 0.10883, "aux.acc_seg": 71.88758, "loss": 0.31368, "time": 0.73182} -{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.21457, "decode.acc_seg": 75.21761, "aux.loss_seg": 0.11179, "aux.acc_seg": 73.46345, "loss": 0.32636, "time": 0.72463} -{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 26851, "data_time": 0.00872, "decode.loss_seg": 0.20812, "decode.acc_seg": 73.90846, "aux.loss_seg": 0.10957, "aux.acc_seg": 72.2079, "loss": 0.3177, "time": 0.72511} -{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.19734, "decode.acc_seg": 74.94834, "aux.loss_seg": 0.10797, "aux.acc_seg": 73.09517, "loss": 0.30531, "time": 0.72754} -{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.18873, "decode.acc_seg": 76.12709, "aux.loss_seg": 0.10214, "aux.acc_seg": 74.37289, "loss": 0.29087, "time": 0.73658} -{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.19889, "decode.acc_seg": 74.35766, "aux.loss_seg": 0.10737, "aux.acc_seg": 72.56152, "loss": 0.30626, "time": 0.73352} -{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.18486, "decode.acc_seg": 75.31855, "aux.loss_seg": 0.10117, "aux.acc_seg": 73.44323, "loss": 0.28604, "time": 0.72302} -{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.18408, "decode.acc_seg": 74.89623, "aux.loss_seg": 0.10133, "aux.acc_seg": 73.14396, "loss": 0.28541, "time": 0.73619} -{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.20492, "decode.acc_seg": 74.25757, "aux.loss_seg": 0.10741, "aux.acc_seg": 72.59782, "loss": 0.31233, "time": 0.7316} -{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19351, "decode.acc_seg": 73.69802, "aux.loss_seg": 0.10375, "aux.acc_seg": 71.97284, "loss": 0.29726, "time": 0.72986} -{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.20042, "decode.acc_seg": 74.5022, "aux.loss_seg": 0.10879, "aux.acc_seg": 72.65391, "loss": 0.30922, "time": 0.72772} -{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19582, "decode.acc_seg": 74.32906, "aux.loss_seg": 0.10676, "aux.acc_seg": 72.45843, "loss": 0.30258, "time": 0.72253} -{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.2068, "decode.acc_seg": 76.02577, "aux.loss_seg": 0.11425, "aux.acc_seg": 73.9597, "loss": 0.32105, "time": 0.72508} -{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.19988, "decode.acc_seg": 73.62508, "aux.loss_seg": 0.10843, "aux.acc_seg": 71.77518, "loss": 0.3083, "time": 0.73512} -{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.18745, "decode.acc_seg": 73.25471, "aux.loss_seg": 0.10184, "aux.acc_seg": 71.45755, "loss": 0.28929, "time": 0.73007} -{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.19669, "decode.acc_seg": 74.1583, "aux.loss_seg": 0.10835, "aux.acc_seg": 72.31924, "loss": 0.30504, "time": 0.72905} -{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 26851, "data_time": 0.00894, "decode.loss_seg": 0.18493, "decode.acc_seg": 72.98957, "aux.loss_seg": 0.09953, "aux.acc_seg": 71.22046, "loss": 0.28446, "time": 0.72481} -{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.1879, "decode.acc_seg": 74.06374, "aux.loss_seg": 0.10028, "aux.acc_seg": 72.41239, "loss": 0.28818, "time": 0.73376} -{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19586, "decode.acc_seg": 74.8314, "aux.loss_seg": 0.1037, "aux.acc_seg": 73.19825, "loss": 0.29956, "time": 0.72727} -{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.19029, "decode.acc_seg": 74.90155, "aux.loss_seg": 0.10072, "aux.acc_seg": 73.26109, "loss": 0.29101, "time": 0.72857} -{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18986, "decode.acc_seg": 74.16727, "aux.loss_seg": 0.10079, "aux.acc_seg": 72.58775, "loss": 0.29065, "time": 0.72759} -{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.20782, "decode.acc_seg": 74.40025, "aux.loss_seg": 0.11234, "aux.acc_seg": 72.52486, "loss": 0.32016, "time": 0.72539} -{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 26851, "data_time": 0.25053, "decode.loss_seg": 0.1955, "decode.acc_seg": 73.09625, "aux.loss_seg": 0.10426, "aux.acc_seg": 71.30909, "loss": 0.29976, "time": 0.97467} -{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.18257, "decode.acc_seg": 74.711, "aux.loss_seg": 0.09961, "aux.acc_seg": 72.95957, "loss": 0.28218, "time": 0.73027} -{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.19407, "decode.acc_seg": 73.89597, "aux.loss_seg": 0.10398, "aux.acc_seg": 72.19887, "loss": 0.29806, "time": 0.72905} -{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19953, "decode.acc_seg": 74.5214, "aux.loss_seg": 0.10769, "aux.acc_seg": 72.56296, "loss": 0.30721, "time": 0.73371} -{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.19524, "decode.acc_seg": 75.19714, "aux.loss_seg": 0.10558, "aux.acc_seg": 73.31948, "loss": 0.30082, "time": 0.73131} -{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19967, "decode.acc_seg": 74.46519, "aux.loss_seg": 0.10513, "aux.acc_seg": 72.79215, "loss": 0.30479, "time": 0.72436} -{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.21175, "decode.acc_seg": 73.20778, "aux.loss_seg": 0.11161, "aux.acc_seg": 71.45297, "loss": 0.32336, "time": 0.73652} -{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.2053, "decode.acc_seg": 73.75656, "aux.loss_seg": 0.11112, "aux.acc_seg": 72.01378, "loss": 0.31642, "time": 0.72705} -{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.19326, "decode.acc_seg": 75.11332, "aux.loss_seg": 0.10488, "aux.acc_seg": 73.33845, "loss": 0.29814, "time": 0.73626} -{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.19497, "decode.acc_seg": 74.46662, "aux.loss_seg": 0.10568, "aux.acc_seg": 72.57741, "loss": 0.30065, "time": 0.72991} -{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.19398, "decode.acc_seg": 73.67474, "aux.loss_seg": 0.10492, "aux.acc_seg": 71.91747, "loss": 0.29889, "time": 0.72895} -{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.19921, "decode.acc_seg": 73.28004, "aux.loss_seg": 0.10519, "aux.acc_seg": 71.62737, "loss": 0.3044, "time": 0.72487} -{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19836, "decode.acc_seg": 74.28194, "aux.loss_seg": 0.10557, "aux.acc_seg": 72.63096, "loss": 0.30394, "time": 0.72409} -{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.19142, "decode.acc_seg": 73.76592, "aux.loss_seg": 0.10319, "aux.acc_seg": 72.04078, "loss": 0.29461, "time": 0.72588} -{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.2046, "decode.acc_seg": 75.10468, "aux.loss_seg": 0.11051, "aux.acc_seg": 73.34777, "loss": 0.31511, "time": 0.73676} -{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.19622, "decode.acc_seg": 74.83847, "aux.loss_seg": 0.1061, "aux.acc_seg": 72.95986, "loss": 0.30232, "time": 0.72656} -{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.18535, "decode.acc_seg": 73.81623, "aux.loss_seg": 0.09958, "aux.acc_seg": 72.09322, "loss": 0.28493, "time": 0.72867} -{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.18596, "decode.acc_seg": 74.51309, "aux.loss_seg": 0.09944, "aux.acc_seg": 72.78199, "loss": 0.28541, "time": 0.72982} -{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.18867, "decode.acc_seg": 74.05695, "aux.loss_seg": 0.103, "aux.acc_seg": 72.23434, "loss": 0.29166, "time": 0.74055} -{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.19429, "decode.acc_seg": 74.82375, "aux.loss_seg": 0.10257, "aux.acc_seg": 73.14317, "loss": 0.29686, "time": 0.72616} -{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.18734, "decode.acc_seg": 75.47361, "aux.loss_seg": 0.10111, "aux.acc_seg": 73.72438, "loss": 0.28845, "time": 0.72142} -{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18777, "decode.acc_seg": 74.57463, "aux.loss_seg": 0.10069, "aux.acc_seg": 72.96545, "loss": 0.28846, "time": 0.73678} -{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.18756, "decode.acc_seg": 73.90986, "aux.loss_seg": 0.10282, "aux.acc_seg": 71.95238, "loss": 0.29037, "time": 0.73457} -{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18947, "decode.acc_seg": 73.24526, "aux.loss_seg": 0.10318, "aux.acc_seg": 71.43818, "loss": 0.29265, "time": 0.72856} -{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.18916, "decode.acc_seg": 75.03781, "aux.loss_seg": 0.10353, "aux.acc_seg": 73.17024, "loss": 0.29269, "time": 0.728} -{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 26851, "data_time": 0.24504, "decode.loss_seg": 0.19549, "decode.acc_seg": 74.51987, "aux.loss_seg": 0.10441, "aux.acc_seg": 72.82102, "loss": 0.2999, "time": 0.96622} -{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19752, "decode.acc_seg": 75.1171, "aux.loss_seg": 0.10853, "aux.acc_seg": 73.11904, "loss": 0.30605, "time": 0.72662} -{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.19417, "decode.acc_seg": 73.54401, "aux.loss_seg": 0.10569, "aux.acc_seg": 71.73322, "loss": 0.29986, "time": 0.72643} -{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19098, "decode.acc_seg": 74.77354, "aux.loss_seg": 0.10328, "aux.acc_seg": 72.95574, "loss": 0.29426, "time": 0.72815} -{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.18451, "decode.acc_seg": 73.97361, "aux.loss_seg": 0.09994, "aux.acc_seg": 72.27343, "loss": 0.28444, "time": 0.73533} -{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.18739, "decode.acc_seg": 74.5943, "aux.loss_seg": 0.10259, "aux.acc_seg": 72.64434, "loss": 0.28997, "time": 0.7306} -{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.19309, "decode.acc_seg": 73.77305, "aux.loss_seg": 0.10534, "aux.acc_seg": 71.95897, "loss": 0.29843, "time": 0.72787} -{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.18436, "decode.acc_seg": 74.21191, "aux.loss_seg": 0.10027, "aux.acc_seg": 72.40293, "loss": 0.28463, "time": 0.73481} -{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.19727, "decode.acc_seg": 74.0643, "aux.loss_seg": 0.10675, "aux.acc_seg": 72.28189, "loss": 0.30402, "time": 0.73003} -{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.1953, "decode.acc_seg": 74.37206, "aux.loss_seg": 0.10498, "aux.acc_seg": 72.68871, "loss": 0.30028, "time": 0.72616} -{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19201, "decode.acc_seg": 74.95815, "aux.loss_seg": 0.10314, "aux.acc_seg": 73.19651, "loss": 0.29515, "time": 0.73063} -{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18895, "decode.acc_seg": 74.68817, "aux.loss_seg": 0.10238, "aux.acc_seg": 72.91163, "loss": 0.29132, "time": 0.72783} -{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.20016, "decode.acc_seg": 74.67586, "aux.loss_seg": 0.10658, "aux.acc_seg": 73.06064, "loss": 0.30673, "time": 0.7283} -{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.19835, "decode.acc_seg": 75.06136, "aux.loss_seg": 0.10658, "aux.acc_seg": 73.28478, "loss": 0.30493, "time": 0.7313} -{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.19369, "decode.acc_seg": 75.0163, "aux.loss_seg": 0.10394, "aux.acc_seg": 73.21119, "loss": 0.29762, "time": 0.7229} -{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.19347, "decode.acc_seg": 74.07829, "aux.loss_seg": 0.10606, "aux.acc_seg": 72.16652, "loss": 0.29953, "time": 0.72468} -{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.1953, "decode.acc_seg": 73.29953, "aux.loss_seg": 0.10571, "aux.acc_seg": 71.49086, "loss": 0.30101, "time": 0.73157} -{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.20124, "decode.acc_seg": 75.72066, "aux.loss_seg": 0.10795, "aux.acc_seg": 74.06368, "loss": 0.30919, "time": 0.73524} -{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.20161, "decode.acc_seg": 73.99086, "aux.loss_seg": 0.10864, "aux.acc_seg": 71.9816, "loss": 0.31024, "time": 0.73128} -{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18738, "decode.acc_seg": 74.51892, "aux.loss_seg": 0.10235, "aux.acc_seg": 72.77092, "loss": 0.28974, "time": 0.73178} -{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 26851, "data_time": 0.00839, "decode.loss_seg": 0.18993, "decode.acc_seg": 73.10441, "aux.loss_seg": 0.10155, "aux.acc_seg": 71.41618, "loss": 0.29148, "time": 0.73395} -{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19334, "decode.acc_seg": 73.89799, "aux.loss_seg": 0.10412, "aux.acc_seg": 72.1556, "loss": 0.29746, "time": 0.72652} -{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.19612, "decode.acc_seg": 73.0015, "aux.loss_seg": 0.10459, "aux.acc_seg": 71.23192, "loss": 0.30071, "time": 0.73718} -{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18622, "decode.acc_seg": 74.58046, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.92076, "loss": 0.28629, "time": 0.73086} -{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.1886, "decode.acc_seg": 75.03951, "aux.loss_seg": 0.10141, "aux.acc_seg": 73.30236, "loss": 0.29001, "time": 0.73178} -{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 26851, "data_time": 0.25592, "decode.loss_seg": 0.19499, "decode.acc_seg": 75.26061, "aux.loss_seg": 0.10698, "aux.acc_seg": 73.4377, "loss": 0.30198, "time": 0.97913} -{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19754, "decode.acc_seg": 74.73042, "aux.loss_seg": 0.10966, "aux.acc_seg": 72.65128, "loss": 0.3072, "time": 0.72624} -{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.19385, "decode.acc_seg": 74.67322, "aux.loss_seg": 0.10603, "aux.acc_seg": 72.76132, "loss": 0.29989, "time": 0.73195} -{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18442, "decode.acc_seg": 74.86265, "aux.loss_seg": 0.09885, "aux.acc_seg": 73.12123, "loss": 0.28326, "time": 0.72955} -{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.19283, "decode.acc_seg": 74.99878, "aux.loss_seg": 0.10192, "aux.acc_seg": 73.29086, "loss": 0.29475, "time": 0.7294} -{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.19746, "decode.acc_seg": 73.82921, "aux.loss_seg": 0.10894, "aux.acc_seg": 71.8283, "loss": 0.3064, "time": 0.73445} -{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.19702, "decode.acc_seg": 73.72951, "aux.loss_seg": 0.10653, "aux.acc_seg": 71.92478, "loss": 0.30355, "time": 0.73522} -{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.19603, "decode.acc_seg": 74.72769, "aux.loss_seg": 0.10451, "aux.acc_seg": 72.92012, "loss": 0.30055, "time": 0.73313} -{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.1868, "decode.acc_seg": 75.12096, "aux.loss_seg": 0.1033, "aux.acc_seg": 73.2226, "loss": 0.2901, "time": 0.72787} -{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.19444, "decode.acc_seg": 74.1168, "aux.loss_seg": 0.10495, "aux.acc_seg": 72.28143, "loss": 0.29939, "time": 0.72683} -{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.19026, "decode.acc_seg": 74.36028, "aux.loss_seg": 0.10108, "aux.acc_seg": 72.70636, "loss": 0.29134, "time": 0.73979} -{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.19222, "decode.acc_seg": 73.918, "aux.loss_seg": 0.10574, "aux.acc_seg": 72.03695, "loss": 0.29796, "time": 0.73137} -{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17819, "decode.acc_seg": 73.00448, "aux.loss_seg": 0.09699, "aux.acc_seg": 71.33731, "loss": 0.27517, "time": 0.73123} -{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.19008, "decode.acc_seg": 74.1168, "aux.loss_seg": 0.10521, "aux.acc_seg": 72.15369, "loss": 0.29529, "time": 0.72787} -{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.18684, "decode.acc_seg": 74.12729, "aux.loss_seg": 0.10091, "aux.acc_seg": 72.34806, "loss": 0.28775, "time": 0.73743} -{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.18529, "decode.acc_seg": 75.22479, "aux.loss_seg": 0.10054, "aux.acc_seg": 73.41715, "loss": 0.28583, "time": 0.73415} -{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.19388, "decode.acc_seg": 73.80179, "aux.loss_seg": 0.10307, "aux.acc_seg": 72.09088, "loss": 0.29696, "time": 0.73558} -{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.18573, "decode.acc_seg": 75.47577, "aux.loss_seg": 0.10081, "aux.acc_seg": 73.74525, "loss": 0.28654, "time": 0.72953} -{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.19433, "decode.acc_seg": 74.93151, "aux.loss_seg": 0.10496, "aux.acc_seg": 73.13693, "loss": 0.29929, "time": 0.72693} -{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.19265, "decode.acc_seg": 74.59941, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.59054, "loss": 0.29854, "time": 0.72704} -{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.19162, "decode.acc_seg": 73.9721, "aux.loss_seg": 0.10406, "aux.acc_seg": 72.11544, "loss": 0.29569, "time": 0.73198} -{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.19286, "decode.acc_seg": 75.14291, "aux.loss_seg": 0.10351, "aux.acc_seg": 73.35263, "loss": 0.29637, "time": 0.72713} -{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.1944, "decode.acc_seg": 74.65224, "aux.loss_seg": 0.10404, "aux.acc_seg": 72.92656, "loss": 0.29844, "time": 0.72746} -{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.1941, "decode.acc_seg": 74.61729, "aux.loss_seg": 0.10377, "aux.acc_seg": 72.87149, "loss": 0.29788, "time": 0.72889} -{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18886, "decode.acc_seg": 73.96693, "aux.loss_seg": 0.10275, "aux.acc_seg": 72.12386, "loss": 0.29161, "time": 0.73103} -{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 26851, "data_time": 0.24495, "decode.loss_seg": 0.1883, "decode.acc_seg": 74.63604, "aux.loss_seg": 0.09973, "aux.acc_seg": 73.0414, "loss": 0.28803, "time": 0.97016} -{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.19262, "decode.acc_seg": 73.50254, "aux.loss_seg": 0.10516, "aux.acc_seg": 71.63903, "loss": 0.29778, "time": 0.72412} -{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 26851, "data_time": 0.00742, "decode.loss_seg": 0.19244, "decode.acc_seg": 74.10176, "aux.loss_seg": 0.10312, "aux.acc_seg": 72.37248, "loss": 0.29556, "time": 0.73257} -{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.18906, "decode.acc_seg": 74.44255, "aux.loss_seg": 0.101, "aux.acc_seg": 72.81264, "loss": 0.29006, "time": 0.72372} -{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.19041, "decode.acc_seg": 73.06386, "aux.loss_seg": 0.10256, "aux.acc_seg": 71.34933, "loss": 0.29297, "time": 0.73055} -{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.19234, "decode.acc_seg": 75.37392, "aux.loss_seg": 0.10257, "aux.acc_seg": 73.68373, "loss": 0.29491, "time": 0.73175} -{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.19153, "decode.acc_seg": 74.35758, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.41661, "loss": 0.29747, "time": 0.72554} -{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.18295, "decode.acc_seg": 74.59897, "aux.loss_seg": 0.0998, "aux.acc_seg": 72.81815, "loss": 0.28275, "time": 0.72573} -{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.18295, "decode.acc_seg": 74.34196, "aux.loss_seg": 0.10056, "aux.acc_seg": 72.42309, "loss": 0.28351, "time": 0.7299} -{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.19025, "decode.acc_seg": 74.22062, "aux.loss_seg": 0.10323, "aux.acc_seg": 72.50285, "loss": 0.29349, "time": 0.73818} -{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.1994, "decode.acc_seg": 74.63785, "aux.loss_seg": 0.1077, "aux.acc_seg": 72.8361, "loss": 0.3071, "time": 0.7272} -{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.18155, "decode.acc_seg": 74.65976, "aux.loss_seg": 0.09828, "aux.acc_seg": 72.99921, "loss": 0.27983, "time": 0.72912} -{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19415, "decode.acc_seg": 73.57282, "aux.loss_seg": 0.10532, "aux.acc_seg": 71.73215, "loss": 0.29947, "time": 0.72375} -{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.18186, "decode.acc_seg": 74.12831, "aux.loss_seg": 0.10214, "aux.acc_seg": 72.12396, "loss": 0.284, "time": 0.721} -{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.17707, "decode.acc_seg": 74.57455, "aux.loss_seg": 0.09606, "aux.acc_seg": 72.86724, "loss": 0.27313, "time": 0.72466} -{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18968, "decode.acc_seg": 74.6966, "aux.loss_seg": 0.10272, "aux.acc_seg": 72.96978, "loss": 0.2924, "time": 0.72779} -{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.19235, "decode.acc_seg": 75.02849, "aux.loss_seg": 0.10343, "aux.acc_seg": 73.24743, "loss": 0.29578, "time": 0.73443} -{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17963, "decode.acc_seg": 72.54821, "aux.loss_seg": 0.09574, "aux.acc_seg": 70.95578, "loss": 0.27537, "time": 0.72505} -{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.19223, "decode.acc_seg": 73.71222, "aux.loss_seg": 0.10369, "aux.acc_seg": 71.93906, "loss": 0.29592, "time": 0.72626} -{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.18789, "decode.acc_seg": 74.8968, "aux.loss_seg": 0.10291, "aux.acc_seg": 73.01846, "loss": 0.2908, "time": 0.72934} -{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.19739, "decode.acc_seg": 75.33634, "aux.loss_seg": 0.10572, "aux.acc_seg": 73.52938, "loss": 0.30311, "time": 0.72879} -{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.18713, "decode.acc_seg": 72.6541, "aux.loss_seg": 0.09862, "aux.acc_seg": 71.11773, "loss": 0.28575, "time": 0.72708} -{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.19105, "decode.acc_seg": 75.6669, "aux.loss_seg": 0.10003, "aux.acc_seg": 74.10194, "loss": 0.29108, "time": 0.7247} -{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17867, "decode.acc_seg": 75.21731, "aux.loss_seg": 0.09705, "aux.acc_seg": 73.50062, "loss": 0.27572, "time": 0.72685} -{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.18416, "decode.acc_seg": 73.9713, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.29873, "loss": 0.2837, "time": 0.73373} -{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.18982, "decode.acc_seg": 75.54912, "aux.loss_seg": 0.1044, "aux.acc_seg": 73.73867, "loss": 0.29422, "time": 0.72574} -{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 26851, "data_time": 0.24821, "decode.loss_seg": 0.20174, "decode.acc_seg": 73.1545, "aux.loss_seg": 0.11107, "aux.acc_seg": 71.29344, "loss": 0.31282, "time": 0.97277} -{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.18881, "decode.acc_seg": 75.29201, "aux.loss_seg": 0.10181, "aux.acc_seg": 73.57087, "loss": 0.29062, "time": 0.72944} -{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 26851, "data_time": 0.00887, "decode.loss_seg": 0.18518, "decode.acc_seg": 74.8722, "aux.loss_seg": 0.1015, "aux.acc_seg": 72.99136, "loss": 0.28668, "time": 0.73099} -{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.19005, "decode.acc_seg": 74.29449, "aux.loss_seg": 0.10104, "aux.acc_seg": 72.63297, "loss": 0.29109, "time": 0.73229} -{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.18631, "decode.acc_seg": 73.85742, "aux.loss_seg": 0.1004, "aux.acc_seg": 72.1497, "loss": 0.28671, "time": 0.73035} -{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.19177, "decode.acc_seg": 74.61355, "aux.loss_seg": 0.10311, "aux.acc_seg": 72.73635, "loss": 0.29488, "time": 0.72834} -{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.18723, "decode.acc_seg": 74.55836, "aux.loss_seg": 0.10176, "aux.acc_seg": 72.79324, "loss": 0.28899, "time": 0.73065} -{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.18475, "decode.acc_seg": 74.35861, "aux.loss_seg": 0.10036, "aux.acc_seg": 72.59137, "loss": 0.28511, "time": 0.7352} -{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.18047, "decode.acc_seg": 74.38497, "aux.loss_seg": 0.0984, "aux.acc_seg": 72.5743, "loss": 0.27887, "time": 0.73638} -{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.17937, "decode.acc_seg": 73.5127, "aux.loss_seg": 0.0965, "aux.acc_seg": 71.84427, "loss": 0.27587, "time": 0.72836} -{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 26851, "data_time": 0.00911, "decode.loss_seg": 0.18713, "decode.acc_seg": 74.21645, "aux.loss_seg": 0.10229, "aux.acc_seg": 72.41629, "loss": 0.28942, "time": 0.72395} -{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.20361, "decode.acc_seg": 74.77109, "aux.loss_seg": 0.10905, "aux.acc_seg": 72.94245, "loss": 0.31266, "time": 0.7302} -{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.19468, "decode.acc_seg": 74.76133, "aux.loss_seg": 0.10383, "aux.acc_seg": 73.02921, "loss": 0.29851, "time": 0.73266} -{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.18827, "decode.acc_seg": 75.44645, "aux.loss_seg": 0.10151, "aux.acc_seg": 73.75219, "loss": 0.28978, "time": 0.73328} -{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.19194, "decode.acc_seg": 74.42072, "aux.loss_seg": 0.10168, "aux.acc_seg": 72.67684, "loss": 0.29362, "time": 0.74089} -{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 26851, "data_time": 0.00944, "decode.loss_seg": 0.19562, "decode.acc_seg": 74.61901, "aux.loss_seg": 0.10535, "aux.acc_seg": 72.69654, "loss": 0.30097, "time": 0.73315} -{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 26851, "data_time": 0.00889, "decode.loss_seg": 0.19881, "decode.acc_seg": 73.55967, "aux.loss_seg": 0.10691, "aux.acc_seg": 71.66573, "loss": 0.30572, "time": 0.72614} -{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.17813, "decode.acc_seg": 74.14605, "aux.loss_seg": 0.09682, "aux.acc_seg": 72.46955, "loss": 0.27495, "time": 0.73104} -{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.19554, "decode.acc_seg": 73.27402, "aux.loss_seg": 0.10683, "aux.acc_seg": 71.47585, "loss": 0.30237, "time": 0.73638} -{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 26851, "data_time": 0.00893, "decode.loss_seg": 0.18939, "decode.acc_seg": 74.4766, "aux.loss_seg": 0.10432, "aux.acc_seg": 72.53441, "loss": 0.29371, "time": 0.74066} -{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.17817, "decode.acc_seg": 74.44342, "aux.loss_seg": 0.09697, "aux.acc_seg": 72.64316, "loss": 0.27514, "time": 0.73083} -{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 26851, "data_time": 0.0088, "decode.loss_seg": 0.18622, "decode.acc_seg": 73.74439, "aux.loss_seg": 0.10101, "aux.acc_seg": 71.99655, "loss": 0.28723, "time": 0.72748} -{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.19286, "decode.acc_seg": 73.37855, "aux.loss_seg": 0.10438, "aux.acc_seg": 71.44968, "loss": 0.29724, "time": 0.72844} -{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 26851, "data_time": 0.00916, "decode.loss_seg": 0.19843, "decode.acc_seg": 74.70066, "aux.loss_seg": 0.10691, "aux.acc_seg": 72.90662, "loss": 0.30535, "time": 0.73319} -{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.19506, "decode.acc_seg": 73.78679, "aux.loss_seg": 0.10357, "aux.acc_seg": 72.04443, "loss": 0.29863, "time": 0.73404} -{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 26851, "data_time": 0.24438, "decode.loss_seg": 0.20318, "decode.acc_seg": 74.27427, "aux.loss_seg": 0.10939, "aux.acc_seg": 72.49116, "loss": 0.31257, "time": 0.96623} -{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.1859, "decode.acc_seg": 74.23323, "aux.loss_seg": 0.10108, "aux.acc_seg": 72.5372, "loss": 0.28698, "time": 0.73195} -{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.18041, "decode.acc_seg": 74.55308, "aux.loss_seg": 0.10058, "aux.acc_seg": 72.57886, "loss": 0.28099, "time": 0.73073} -{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.18278, "decode.acc_seg": 75.17635, "aux.loss_seg": 0.09778, "aux.acc_seg": 73.49443, "loss": 0.28056, "time": 0.72685} -{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.18528, "decode.acc_seg": 75.06112, "aux.loss_seg": 0.09944, "aux.acc_seg": 73.35979, "loss": 0.28471, "time": 0.72981} -{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.19178, "decode.acc_seg": 73.11819, "aux.loss_seg": 0.10319, "aux.acc_seg": 71.36404, "loss": 0.29498, "time": 0.73607} -{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.19096, "decode.acc_seg": 74.59048, "aux.loss_seg": 0.10148, "aux.acc_seg": 72.98467, "loss": 0.29245, "time": 0.72515} -{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.18972, "decode.acc_seg": 73.96146, "aux.loss_seg": 0.10464, "aux.acc_seg": 72.10383, "loss": 0.29436, "time": 0.73053} -{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18704, "decode.acc_seg": 73.6877, "aux.loss_seg": 0.10134, "aux.acc_seg": 72.03143, "loss": 0.28838, "time": 0.73858} -{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.19259, "decode.acc_seg": 74.72315, "aux.loss_seg": 0.10364, "aux.acc_seg": 73.0111, "loss": 0.29623, "time": 0.73158} -{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.19396, "decode.acc_seg": 75.28664, "aux.loss_seg": 0.10484, "aux.acc_seg": 73.53688, "loss": 0.2988, "time": 0.728} -{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.19578, "decode.acc_seg": 73.11093, "aux.loss_seg": 0.1061, "aux.acc_seg": 71.20415, "loss": 0.30188, "time": 0.73184} -{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.18762, "decode.acc_seg": 75.11861, "aux.loss_seg": 0.1006, "aux.acc_seg": 73.37212, "loss": 0.28822, "time": 0.73108} -{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.18542, "decode.acc_seg": 74.44436, "aux.loss_seg": 0.09982, "aux.acc_seg": 72.68838, "loss": 0.28525, "time": 0.73813} -{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.18525, "decode.acc_seg": 73.86564, "aux.loss_seg": 0.10022, "aux.acc_seg": 72.03356, "loss": 0.28547, "time": 0.73196} -{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.18407, "decode.acc_seg": 73.44007, "aux.loss_seg": 0.10022, "aux.acc_seg": 71.67941, "loss": 0.2843, "time": 0.72601} -{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.1932, "decode.acc_seg": 74.55779, "aux.loss_seg": 0.10417, "aux.acc_seg": 72.82543, "loss": 0.29737, "time": 0.73624} -{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17636, "decode.acc_seg": 74.20321, "aux.loss_seg": 0.09615, "aux.acc_seg": 72.48483, "loss": 0.27251, "time": 0.72976} -{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.18025, "decode.acc_seg": 74.89871, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.11902, "loss": 0.27887, "time": 0.73221} -{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 26851, "data_time": 0.0089, "decode.loss_seg": 0.19584, "decode.acc_seg": 76.16259, "aux.loss_seg": 0.10768, "aux.acc_seg": 74.22134, "loss": 0.30352, "time": 0.72864} -{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.17911, "decode.acc_seg": 72.12537, "aux.loss_seg": 0.09734, "aux.acc_seg": 70.42095, "loss": 0.27645, "time": 0.7314} -{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.1912, "decode.acc_seg": 73.51222, "aux.loss_seg": 0.10311, "aux.acc_seg": 71.90538, "loss": 0.29431, "time": 0.72443} -{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19153, "decode.acc_seg": 73.01802, "aux.loss_seg": 0.10337, "aux.acc_seg": 71.37569, "loss": 0.29491, "time": 0.72545} -{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.18661, "decode.acc_seg": 75.63494, "aux.loss_seg": 0.10343, "aux.acc_seg": 73.75042, "loss": 0.29003, "time": 0.72608} -{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.18809, "decode.acc_seg": 75.00108, "aux.loss_seg": 0.10224, "aux.acc_seg": 73.11911, "loss": 0.29033, "time": 0.7293} -{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 26851, "data_time": 0.24696, "decode.loss_seg": 0.188, "decode.acc_seg": 74.26224, "aux.loss_seg": 0.1038, "aux.acc_seg": 72.37478, "loss": 0.2918, "time": 0.96752} -{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18727, "decode.acc_seg": 76.00995, "aux.loss_seg": 0.10296, "aux.acc_seg": 74.14732, "loss": 0.29023, "time": 0.73199} -{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.18745, "decode.acc_seg": 73.98133, "aux.loss_seg": 0.10193, "aux.acc_seg": 72.1239, "loss": 0.28938, "time": 0.73038} -{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.17245, "decode.acc_seg": 73.99894, "aux.loss_seg": 0.09322, "aux.acc_seg": 72.37148, "loss": 0.26567, "time": 0.73191} -{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19135, "decode.acc_seg": 75.36163, "aux.loss_seg": 0.104, "aux.acc_seg": 73.62533, "loss": 0.29535, "time": 0.7312} -{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.19178, "decode.acc_seg": 74.95046, "aux.loss_seg": 0.10338, "aux.acc_seg": 73.14939, "loss": 0.29517, "time": 0.72511} -{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18944, "decode.acc_seg": 74.21551, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.29396, "loss": 0.29353, "time": 0.72821} -{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19009, "decode.acc_seg": 73.95773, "aux.loss_seg": 0.10421, "aux.acc_seg": 72.10858, "loss": 0.2943, "time": 0.733} -{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.1959, "decode.acc_seg": 74.25545, "aux.loss_seg": 0.1061, "aux.acc_seg": 72.48863, "loss": 0.302, "time": 0.73365} -{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.18827, "decode.acc_seg": 75.48951, "aux.loss_seg": 0.10321, "aux.acc_seg": 73.57913, "loss": 0.29147, "time": 0.7259} -{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.17734, "decode.acc_seg": 74.5118, "aux.loss_seg": 0.09823, "aux.acc_seg": 72.72027, "loss": 0.27556, "time": 0.72301} -{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18714, "decode.acc_seg": 73.27171, "aux.loss_seg": 0.10299, "aux.acc_seg": 71.42871, "loss": 0.29014, "time": 0.72482} -{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18291, "decode.acc_seg": 73.8372, "aux.loss_seg": 0.09842, "aux.acc_seg": 72.17033, "loss": 0.28132, "time": 0.72966} -{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.17337, "decode.acc_seg": 76.31377, "aux.loss_seg": 0.09504, "aux.acc_seg": 74.59899, "loss": 0.26842, "time": 0.72689} -{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.18012, "decode.acc_seg": 74.08712, "aux.loss_seg": 0.09678, "aux.acc_seg": 72.45249, "loss": 0.27689, "time": 0.72512} -{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.18367, "decode.acc_seg": 74.31061, "aux.loss_seg": 0.09805, "aux.acc_seg": 72.7266, "loss": 0.28171, "time": 0.72152} -{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.1975, "decode.acc_seg": 73.44786, "aux.loss_seg": 0.10749, "aux.acc_seg": 71.54989, "loss": 0.30499, "time": 0.72636} -{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.18717, "decode.acc_seg": 73.99489, "aux.loss_seg": 0.09924, "aux.acc_seg": 72.43989, "loss": 0.28641, "time": 0.72602} -{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.1787, "decode.acc_seg": 73.83192, "aux.loss_seg": 0.09758, "aux.acc_seg": 72.0528, "loss": 0.27628, "time": 0.72652} -{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.18919, "decode.acc_seg": 74.13039, "aux.loss_seg": 0.10069, "aux.acc_seg": 72.37456, "loss": 0.28989, "time": 0.72762} -{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.18611, "decode.acc_seg": 74.7989, "aux.loss_seg": 0.10006, "aux.acc_seg": 73.07086, "loss": 0.28617, "time": 0.7316} -{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.18441, "decode.acc_seg": 73.61768, "aux.loss_seg": 0.09924, "aux.acc_seg": 71.86116, "loss": 0.28365, "time": 0.73155} -{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17655, "decode.acc_seg": 75.2991, "aux.loss_seg": 0.09617, "aux.acc_seg": 73.5304, "loss": 0.27272, "time": 0.72803} -{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18546, "decode.acc_seg": 77.07915, "aux.loss_seg": 0.10117, "aux.acc_seg": 75.32572, "loss": 0.28663, "time": 0.73083} -{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.1885, "decode.acc_seg": 75.08052, "aux.loss_seg": 0.1014, "aux.acc_seg": 73.40674, "loss": 0.2899, "time": 0.72933} -{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.19033, "decode.acc_seg": 73.47377, "aux.loss_seg": 0.10491, "aux.acc_seg": 71.53874, "loss": 0.29524, "time": 0.72678} -{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 26851, "data_time": 0.24315, "decode.loss_seg": 0.17609, "decode.acc_seg": 74.17132, "aux.loss_seg": 0.09741, "aux.acc_seg": 72.33504, "loss": 0.2735, "time": 0.9632} -{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.18214, "decode.acc_seg": 75.11859, "aux.loss_seg": 0.09882, "aux.acc_seg": 73.43026, "loss": 0.28097, "time": 0.72897} -{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.17994, "decode.acc_seg": 76.18122, "aux.loss_seg": 0.1, "aux.acc_seg": 74.25081, "loss": 0.27994, "time": 0.73073} -{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.18906, "decode.acc_seg": 74.73052, "aux.loss_seg": 0.10207, "aux.acc_seg": 73.09207, "loss": 0.29112, "time": 0.73704} -{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.18362, "decode.acc_seg": 73.93925, "aux.loss_seg": 0.10057, "aux.acc_seg": 72.18461, "loss": 0.28419, "time": 0.72993} -{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.19046, "decode.acc_seg": 74.66027, "aux.loss_seg": 0.10462, "aux.acc_seg": 72.71896, "loss": 0.29508, "time": 0.72763} -{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.18752, "decode.acc_seg": 75.22947, "aux.loss_seg": 0.10164, "aux.acc_seg": 73.45102, "loss": 0.28915, "time": 0.72323} -{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.2018, "decode.acc_seg": 74.64524, "aux.loss_seg": 0.10966, "aux.acc_seg": 72.89882, "loss": 0.31147, "time": 0.73075} -{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.1895, "decode.acc_seg": 74.47038, "aux.loss_seg": 0.10152, "aux.acc_seg": 72.79498, "loss": 0.29103, "time": 0.72643} -{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.18511, "decode.acc_seg": 75.23252, "aux.loss_seg": 0.10283, "aux.acc_seg": 73.26715, "loss": 0.28794, "time": 0.72949} -{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.1853, "decode.acc_seg": 75.75339, "aux.loss_seg": 0.10118, "aux.acc_seg": 73.92209, "loss": 0.28648, "time": 0.73101} -{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.19354, "decode.acc_seg": 74.91585, "aux.loss_seg": 0.10396, "aux.acc_seg": 73.16504, "loss": 0.2975, "time": 0.73601} -{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18481, "decode.acc_seg": 73.01286, "aux.loss_seg": 0.10243, "aux.acc_seg": 71.12577, "loss": 0.28724, "time": 0.73669} -{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18819, "decode.acc_seg": 73.93513, "aux.loss_seg": 0.1005, "aux.acc_seg": 72.28567, "loss": 0.28869, "time": 0.72565} -{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.1842, "decode.acc_seg": 74.72228, "aux.loss_seg": 0.1002, "aux.acc_seg": 72.9461, "loss": 0.2844, "time": 0.73245} -{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18915, "decode.acc_seg": 72.02294, "aux.loss_seg": 0.10503, "aux.acc_seg": 70.15803, "loss": 0.29418, "time": 0.72713} -{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.183, "decode.acc_seg": 74.83078, "aux.loss_seg": 0.09865, "aux.acc_seg": 73.08995, "loss": 0.28164, "time": 0.73119} -{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.19375, "decode.acc_seg": 74.21669, "aux.loss_seg": 0.10256, "aux.acc_seg": 72.57124, "loss": 0.29631, "time": 0.73418} -{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18918, "decode.acc_seg": 74.77029, "aux.loss_seg": 0.1028, "aux.acc_seg": 72.91019, "loss": 0.29198, "time": 0.73108} -{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17626, "decode.acc_seg": 73.72344, "aux.loss_seg": 0.09695, "aux.acc_seg": 72.02751, "loss": 0.27322, "time": 0.73365} -{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.18389, "decode.acc_seg": 74.63903, "aux.loss_seg": 0.10093, "aux.acc_seg": 72.89429, "loss": 0.28482, "time": 0.72631} -{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.18696, "decode.acc_seg": 72.90878, "aux.loss_seg": 0.10066, "aux.acc_seg": 71.11975, "loss": 0.28762, "time": 0.72881} -{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.18567, "decode.acc_seg": 74.65092, "aux.loss_seg": 0.09901, "aux.acc_seg": 72.95724, "loss": 0.28468, "time": 0.73158} -{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.1739, "decode.acc_seg": 73.35084, "aux.loss_seg": 0.09649, "aux.acc_seg": 71.52601, "loss": 0.27039, "time": 0.73184} -{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.19392, "decode.acc_seg": 75.53048, "aux.loss_seg": 0.10482, "aux.acc_seg": 73.6935, "loss": 0.29874, "time": 0.73251} -{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 26851, "data_time": 0.24049, "decode.loss_seg": 0.18615, "decode.acc_seg": 74.1105, "aux.loss_seg": 0.10018, "aux.acc_seg": 72.37719, "loss": 0.28632, "time": 0.9575} -{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.18375, "decode.acc_seg": 73.95765, "aux.loss_seg": 0.09851, "aux.acc_seg": 72.34359, "loss": 0.28226, "time": 0.72779} -{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18705, "decode.acc_seg": 74.02534, "aux.loss_seg": 0.10018, "aux.acc_seg": 72.26693, "loss": 0.28723, "time": 0.72863} -{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 26851, "data_time": 0.00765, "decode.loss_seg": 0.19021, "decode.acc_seg": 74.67565, "aux.loss_seg": 0.10409, "aux.acc_seg": 72.87999, "loss": 0.2943, "time": 0.72504} -{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.18254, "decode.acc_seg": 74.45794, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.67032, "loss": 0.28261, "time": 0.73464} -{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.1752, "decode.acc_seg": 76.05688, "aux.loss_seg": 0.0947, "aux.acc_seg": 74.38332, "loss": 0.26989, "time": 0.72262} -{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 26851, "data_time": 0.00753, "decode.loss_seg": 0.1737, "decode.acc_seg": 74.42511, "aux.loss_seg": 0.09621, "aux.acc_seg": 72.5864, "loss": 0.26991, "time": 0.72216} -{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18699, "decode.acc_seg": 74.41179, "aux.loss_seg": 0.09929, "aux.acc_seg": 72.78973, "loss": 0.28628, "time": 0.72975} -{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4813, "mAcc": 0.6004, "aAcc": 0.8207, "IoU.wall": 0.761, "IoU.building": 0.8067, "IoU.sky": 0.9387, "IoU.floor": 0.8076, "IoU.tree": 0.735, "IoU.ceiling": 0.8375, "IoU.road": 0.8303, "IoU.bed ": 0.8709, "IoU.windowpane": 0.5969, "IoU.grass": 0.6624, "IoU.cabinet": 0.5713, "IoU.sidewalk": 0.6464, "IoU.person": 0.7758, "IoU.earth": 0.3615, "IoU.door": 0.4269, "IoU.table": 0.5719, "IoU.mountain": 0.5637, "IoU.plant": 0.5152, "IoU.curtain": 0.7136, "IoU.chair": 0.5464, "IoU.car": 0.8176, "IoU.water": 0.494, "IoU.painting": 0.7236, "IoU.sofa": 0.599, "IoU.shelf": 0.4322, "IoU.house": 0.3909, "IoU.sea": 0.5248, "IoU.mirror": 0.6374, "IoU.rug": 0.6119, "IoU.field": 0.2913, "IoU.armchair": 0.4213, "IoU.seat": 0.6219, "IoU.fence": 0.4134, "IoU.desk": 0.4716, "IoU.rock": 0.4193, "IoU.wardrobe": 0.447, "IoU.lamp": 0.5955, "IoU.bathtub": 0.7521, "IoU.railing": 0.3485, "IoU.cushion": 0.5429, "IoU.base": 0.3221, "IoU.box": 0.2774, "IoU.column": 0.4162, "IoU.signboard": 0.3748, "IoU.chest of drawers": 0.3795, "IoU.counter": 0.3443, "IoU.sand": 0.558, "IoU.sink": 0.7108, "IoU.skyscraper": 0.5244, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7138, "IoU.grandstand": 0.4069, "IoU.path": 0.2877, "IoU.stairs": 0.2908, "IoU.runway": 0.7212, "IoU.case": 0.4581, "IoU.pool table": 0.9127, "IoU.pillow": 0.5445, "IoU.screen door": 0.6518, "IoU.stairway": 0.2688, "IoU.river": 0.1283, "IoU.bridge": 0.6627, "IoU.bookcase": 0.4063, "IoU.blind": NaN, "IoU.coffee table": 0.5479, "IoU.toilet": 0.8148, "IoU.flower": 0.4092, "IoU.book": 0.4764, "IoU.hill": 0.1118, "IoU.bench": 0.4545, "IoU.countertop": 0.5224, "IoU.stove": 0.7165, "IoU.palm": 0.4783, "IoU.kitchen island": 0.3347, "IoU.computer": 0.608, "IoU.swivel chair": 0.3937, "IoU.boat": 0.4091, "IoU.bar": 0.386, "IoU.arcade machine": 0.6051, "IoU.hovel": 0.2742, "IoU.bus": 0.8843, "IoU.towel": 0.622, "IoU.light": 0.5503, "IoU.truck": 0.2406, "IoU.tower": 0.0625, "IoU.chandelier": 0.6544, "IoU.awning": 0.2464, "IoU.streetlight": 0.208, "IoU.booth": 0.5972, "IoU.television receiver": NaN, "IoU.airplane": 0.5774, "IoU.dirt track": 0.2123, "IoU.apparel": 0.2823, "IoU.pole": 0.1801, "IoU.land": 0.028, "IoU.bannister": 0.111, "IoU.escalator": 0.402, "IoU.ottoman": 0.3694, "IoU.bottle": NaN, "IoU.buffet": 0.3288, "IoU.poster": 0.2516, "IoU.stage": 0.2028, "IoU.van": 0.3917, "IoU.ship": 0.5745, "IoU.fountain": 0.3701, "IoU.conveyer belt": 0.7799, "IoU.canopy": 0.1491, "IoU.washer": 0.6959, "IoU.plaything": 0.2282, "IoU.swimming pool": 0.7015, "IoU.stool": 0.3974, "IoU.barrel": 0.5425, "IoU.basket": 0.3354, "IoU.waterfall": 0.4863, "IoU.tent": 0.9262, "IoU.bag": 0.1267, "IoU.minibike": 0.709, "IoU.cradle": NaN, "IoU.oven": 0.3358, "IoU.ball": 0.4285, "IoU.food": 0.5923, "IoU.step": 0.1157, "IoU.tank": 0.4616, "IoU.trade name": 0.3057, "IoU.microwave": 0.6336, "IoU.pot": 0.4965, "IoU.animal": NaN, "IoU.bicycle": 0.5339, "IoU.lake": 0.5355, "IoU.dishwasher": 0.5215, "IoU.screen": 0.717, "IoU.blanket": 0.2003, "IoU.sculpture": 0.6505, "IoU.hood": 0.5812, "IoU.sconce": 0.4373, "IoU.vase": 0.3722, "IoU.traffic light": 0.2933, "IoU.tray": 0.1014, "IoU.ashcan": 0.3831, "IoU.fan": 0.5768, "IoU.pier": 0.507, "IoU.crt screen": 0.0447, "IoU.plate": 0.5643, "IoU.monitor": 0.4799, "IoU.bulletin board": 0.4024, "IoU.shower": 0.0238, "IoU.radiator": 0.5671, "IoU.glass": 0.1289, "IoU.clock": 0.3755, "IoU.flag": 0.5117, "Acc.wall": 0.8697, "Acc.building": 0.9233, "Acc.sky": 0.9723, "Acc.floor": 0.8964, "Acc.tree": 0.8758, "Acc.ceiling": 0.9283, "Acc.road": 0.8993, "Acc.bed ": 0.9473, "Acc.windowpane": 0.8069, "Acc.grass": 0.8118, "Acc.cabinet": 0.691, "Acc.sidewalk": 0.8117, "Acc.person": 0.9177, "Acc.earth": 0.4679, "Acc.door": 0.5482, "Acc.table": 0.753, "Acc.mountain": 0.7169, "Acc.plant": 0.6398, "Acc.curtain": 0.8257, "Acc.chair": 0.7027, "Acc.car": 0.8951, "Acc.water": 0.6463, "Acc.painting": 0.8648, "Acc.sofa": 0.7427, "Acc.shelf": 0.6018, "Acc.house": 0.5408, "Acc.sea": 0.7708, "Acc.mirror": 0.7218, "Acc.rug": 0.6966, "Acc.field": 0.4889, "Acc.armchair": 0.6578, "Acc.seat": 0.8311, "Acc.fence": 0.5785, "Acc.desk": 0.6502, "Acc.rock": 0.6459, "Acc.wardrobe": 0.6209, "Acc.lamp": 0.736, "Acc.bathtub": 0.8186, "Acc.railing": 0.464, "Acc.cushion": 0.7185, "Acc.base": 0.4266, "Acc.box": 0.3832, "Acc.column": 0.5292, "Acc.signboard": 0.5271, "Acc.chest of drawers": 0.5701, "Acc.counter": 0.4479, "Acc.sand": 0.7213, "Acc.sink": 0.7995, "Acc.skyscraper": 0.6604, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8088, "Acc.grandstand": 0.6392, "Acc.path": 0.4138, "Acc.stairs": 0.3587, "Acc.runway": 0.9287, "Acc.case": 0.5866, "Acc.pool table": 0.9642, "Acc.pillow": 0.646, "Acc.screen door": 0.7362, "Acc.stairway": 0.3503, "Acc.river": 0.2694, "Acc.bridge": 0.7543, "Acc.bookcase": 0.4971, "Acc.blind": NaN, "Acc.coffee table": 0.7582, "Acc.toilet": 0.8937, "Acc.flower": 0.5908, "Acc.book": 0.694, "Acc.hill": 0.2147, "Acc.bench": 0.5486, "Acc.countertop": 0.6854, "Acc.stove": 0.8164, "Acc.palm": 0.6554, "Acc.kitchen island": 0.6378, "Acc.computer": 0.7121, "Acc.swivel chair": 0.5209, "Acc.boat": 0.4815, "Acc.bar": 0.486, "Acc.arcade machine": 0.6613, "Acc.hovel": 0.3393, "Acc.bus": 0.9476, "Acc.towel": 0.7821, "Acc.light": 0.6516, "Acc.truck": 0.4091, "Acc.tower": 0.0818, "Acc.chandelier": 0.8212, "Acc.awning": 0.2909, "Acc.streetlight": 0.2769, "Acc.booth": 0.6892, "Acc.television receiver": NaN, "Acc.airplane": 0.6445, "Acc.dirt track": 0.4423, "Acc.apparel": 0.4281, "Acc.pole": 0.2495, "Acc.land": 0.0367, "Acc.bannister": 0.138, "Acc.escalator": 0.4895, "Acc.ottoman": 0.5413, "Acc.bottle": NaN, "Acc.buffet": 0.3813, "Acc.poster": 0.3272, "Acc.stage": 0.2508, "Acc.van": 0.5571, "Acc.ship": 0.967, "Acc.fountain": 0.3789, "Acc.conveyer belt": 0.8704, "Acc.canopy": 0.172, "Acc.washer": 0.7468, "Acc.plaything": 0.3729, "Acc.swimming pool": 0.7654, "Acc.stool": 0.5116, "Acc.barrel": 0.6925, "Acc.basket": 0.4338, "Acc.waterfall": 0.6167, "Acc.tent": 0.981, "Acc.bag": 0.1566, "Acc.minibike": 0.8928, "Acc.cradle": NaN, "Acc.oven": 0.4911, "Acc.ball": 0.4813, "Acc.food": 0.7003, "Acc.step": 0.1415, "Acc.tank": 0.5145, "Acc.trade name": 0.3815, "Acc.microwave": 0.7099, "Acc.pot": 0.5427, "Acc.animal": NaN, "Acc.bicycle": 0.7532, "Acc.lake": 0.6325, "Acc.dishwasher": 0.6744, "Acc.screen": 0.9269, "Acc.blanket": 0.2292, "Acc.sculpture": 0.7629, "Acc.hood": 0.6876, "Acc.sconce": 0.5397, "Acc.vase": 0.5159, "Acc.traffic light": 0.4673, "Acc.tray": 0.1819, "Acc.ashcan": 0.5002, "Acc.fan": 0.7018, "Acc.pier": 0.7377, "Acc.crt screen": 0.0984, "Acc.plate": 0.7144, "Acc.monitor": 0.5791, "Acc.bulletin board": 0.5527, "Acc.shower": 0.0239, "Acc.radiator": 0.6599, "Acc.glass": 0.137, "Acc.clock": 0.4522, "Acc.flag": 0.559} -{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 26851, "data_time": 1.90721, "decode.loss_seg": 0.18611, "decode.acc_seg": 76.066, "aux.loss_seg": 0.09993, "aux.acc_seg": 74.38724, "loss": 0.28604, "time": 2.63058} -{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.18289, "decode.acc_seg": 75.02534, "aux.loss_seg": 0.09824, "aux.acc_seg": 73.30118, "loss": 0.28113, "time": 0.73279} -{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18361, "decode.acc_seg": 74.68511, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.91347, "loss": 0.28369, "time": 0.73568} -{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.19417, "decode.acc_seg": 75.56253, "aux.loss_seg": 0.10413, "aux.acc_seg": 73.80484, "loss": 0.2983, "time": 0.72793} -{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.19012, "decode.acc_seg": 73.85352, "aux.loss_seg": 0.10407, "aux.acc_seg": 72.00499, "loss": 0.29419, "time": 0.72845} -{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.18333, "decode.acc_seg": 73.7565, "aux.loss_seg": 0.1002, "aux.acc_seg": 71.9664, "loss": 0.28353, "time": 0.73072} -{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 26851, "data_time": 0.00752, "decode.loss_seg": 0.18118, "decode.acc_seg": 74.63463, "aux.loss_seg": 0.0986, "aux.acc_seg": 72.9467, "loss": 0.27978, "time": 0.73509} -{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.19037, "decode.acc_seg": 75.3888, "aux.loss_seg": 0.10455, "aux.acc_seg": 73.38617, "loss": 0.29492, "time": 0.7397} -{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.18498, "decode.acc_seg": 73.85897, "aux.loss_seg": 0.10204, "aux.acc_seg": 72.14713, "loss": 0.28702, "time": 0.73426} -{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.188, "decode.acc_seg": 75.36667, "aux.loss_seg": 0.10232, "aux.acc_seg": 73.59255, "loss": 0.29033, "time": 0.73845} -{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 26851, "data_time": 0.00746, "decode.loss_seg": 0.18078, "decode.acc_seg": 73.4621, "aux.loss_seg": 0.09733, "aux.acc_seg": 71.8083, "loss": 0.27811, "time": 0.73035} -{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.18301, "decode.acc_seg": 75.07577, "aux.loss_seg": 0.10051, "aux.acc_seg": 73.22514, "loss": 0.28351, "time": 0.72666} -{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.19231, "decode.acc_seg": 74.84271, "aux.loss_seg": 0.10611, "aux.acc_seg": 72.98574, "loss": 0.29842, "time": 0.72718} -{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.17792, "decode.acc_seg": 75.37039, "aux.loss_seg": 0.09931, "aux.acc_seg": 73.56818, "loss": 0.27723, "time": 0.7279} -{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.18875, "decode.acc_seg": 74.6393, "aux.loss_seg": 0.10441, "aux.acc_seg": 72.73358, "loss": 0.29316, "time": 0.7389} -{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.19494, "decode.acc_seg": 75.04321, "aux.loss_seg": 0.10852, "aux.acc_seg": 73.09618, "loss": 0.30346, "time": 0.7353} -{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 26851, "data_time": 0.25246, "decode.loss_seg": 0.18352, "decode.acc_seg": 75.0044, "aux.loss_seg": 0.09922, "aux.acc_seg": 73.32896, "loss": 0.28273, "time": 0.97665} -{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.17848, "decode.acc_seg": 74.89548, "aux.loss_seg": 0.09845, "aux.acc_seg": 73.09313, "loss": 0.27693, "time": 0.72814} -{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.17831, "decode.acc_seg": 75.01469, "aux.loss_seg": 0.09701, "aux.acc_seg": 73.27114, "loss": 0.27532, "time": 0.73145} -{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 26851, "data_time": 0.00755, "decode.loss_seg": 0.17974, "decode.acc_seg": 74.3394, "aux.loss_seg": 0.09738, "aux.acc_seg": 72.56603, "loss": 0.27712, "time": 0.73582} -{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17731, "decode.acc_seg": 74.7808, "aux.loss_seg": 0.09733, "aux.acc_seg": 72.95847, "loss": 0.27464, "time": 0.73015} -{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.1809, "decode.acc_seg": 73.66949, "aux.loss_seg": 0.09949, "aux.acc_seg": 71.93306, "loss": 0.28039, "time": 0.73529} -{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.18215, "decode.acc_seg": 73.94497, "aux.loss_seg": 0.10318, "aux.acc_seg": 71.89645, "loss": 0.28533, "time": 0.73086} -{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.17652, "decode.acc_seg": 74.83559, "aux.loss_seg": 0.09607, "aux.acc_seg": 73.13441, "loss": 0.27259, "time": 0.73247} -{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.1846, "decode.acc_seg": 75.33019, "aux.loss_seg": 0.10086, "aux.acc_seg": 73.52445, "loss": 0.28546, "time": 0.73143} -{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.1924, "decode.acc_seg": 74.55589, "aux.loss_seg": 0.104, "aux.acc_seg": 72.73816, "loss": 0.2964, "time": 0.7279} -{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.18605, "decode.acc_seg": 73.1556, "aux.loss_seg": 0.10211, "aux.acc_seg": 71.39584, "loss": 0.28816, "time": 0.73282} -{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.19567, "decode.acc_seg": 74.96952, "aux.loss_seg": 0.10421, "aux.acc_seg": 73.31334, "loss": 0.29988, "time": 0.73444} -{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.18201, "decode.acc_seg": 74.76447, "aux.loss_seg": 0.09992, "aux.acc_seg": 72.99199, "loss": 0.28193, "time": 0.72876} -{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.1881, "decode.acc_seg": 74.57414, "aux.loss_seg": 0.1031, "aux.acc_seg": 72.72673, "loss": 0.29121, "time": 0.73857} -{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.18918, "decode.acc_seg": 75.54212, "aux.loss_seg": 0.10358, "aux.acc_seg": 73.74066, "loss": 0.29276, "time": 0.72617} -{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.19173, "decode.acc_seg": 74.82032, "aux.loss_seg": 0.10474, "aux.acc_seg": 72.95495, "loss": 0.29647, "time": 0.73491} -{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.18291, "decode.acc_seg": 75.19898, "aux.loss_seg": 0.09972, "aux.acc_seg": 73.39127, "loss": 0.28263, "time": 0.73727} -{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.19054, "decode.acc_seg": 75.23657, "aux.loss_seg": 0.1041, "aux.acc_seg": 73.38507, "loss": 0.29464, "time": 0.73297} -{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.18487, "decode.acc_seg": 73.90383, "aux.loss_seg": 0.09972, "aux.acc_seg": 72.14183, "loss": 0.28459, "time": 0.7388} -{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.183, "decode.acc_seg": 74.0197, "aux.loss_seg": 0.09961, "aux.acc_seg": 72.20578, "loss": 0.2826, "time": 0.73411} -{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18012, "decode.acc_seg": 75.23615, "aux.loss_seg": 0.09698, "aux.acc_seg": 73.62104, "loss": 0.2771, "time": 0.73756} -{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.18021, "decode.acc_seg": 73.3943, "aux.loss_seg": 0.09939, "aux.acc_seg": 71.61421, "loss": 0.2796, "time": 0.72926} -{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.17641, "decode.acc_seg": 72.42039, "aux.loss_seg": 0.09805, "aux.acc_seg": 70.55321, "loss": 0.27446, "time": 0.73058} -{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 26851, "data_time": 0.00884, "decode.loss_seg": 0.18056, "decode.acc_seg": 75.09762, "aux.loss_seg": 0.09858, "aux.acc_seg": 73.37077, "loss": 0.27914, "time": 0.72986} -{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.18271, "decode.acc_seg": 73.9605, "aux.loss_seg": 0.09894, "aux.acc_seg": 72.26792, "loss": 0.28165, "time": 0.73741} -{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 26851, "data_time": 0.2538, "decode.loss_seg": 0.17757, "decode.acc_seg": 75.62767, "aux.loss_seg": 0.09767, "aux.acc_seg": 73.80863, "loss": 0.27524, "time": 0.97963} -{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.18638, "decode.acc_seg": 73.6958, "aux.loss_seg": 0.09944, "aux.acc_seg": 72.22582, "loss": 0.28582, "time": 0.73118} -{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 26851, "data_time": 0.00758, "decode.loss_seg": 0.18099, "decode.acc_seg": 73.90709, "aux.loss_seg": 0.09985, "aux.acc_seg": 72.12145, "loss": 0.28084, "time": 0.73699} -{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.18098, "decode.acc_seg": 73.60999, "aux.loss_seg": 0.09872, "aux.acc_seg": 71.90209, "loss": 0.2797, "time": 0.73061} -{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.17959, "decode.acc_seg": 73.45408, "aux.loss_seg": 0.09907, "aux.acc_seg": 71.64125, "loss": 0.27867, "time": 0.72674} -{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.18077, "decode.acc_seg": 73.96658, "aux.loss_seg": 0.09922, "aux.acc_seg": 72.22186, "loss": 0.27999, "time": 0.73165} -{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.18456, "decode.acc_seg": 74.67893, "aux.loss_seg": 0.10104, "aux.acc_seg": 72.89234, "loss": 0.2856, "time": 0.73003} -{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.17647, "decode.acc_seg": 74.28412, "aux.loss_seg": 0.09923, "aux.acc_seg": 72.33661, "loss": 0.27571, "time": 0.73238} -{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.18217, "decode.acc_seg": 75.47203, "aux.loss_seg": 0.09949, "aux.acc_seg": 73.65865, "loss": 0.28166, "time": 0.72973} -{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.18322, "decode.acc_seg": 74.48942, "aux.loss_seg": 0.09889, "aux.acc_seg": 72.7683, "loss": 0.28211, "time": 0.73894} -{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17252, "decode.acc_seg": 73.52786, "aux.loss_seg": 0.0953, "aux.acc_seg": 71.66744, "loss": 0.26782, "time": 0.72745} -{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.18699, "decode.acc_seg": 75.70491, "aux.loss_seg": 0.1007, "aux.acc_seg": 73.97779, "loss": 0.28769, "time": 0.72597} -{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18425, "decode.acc_seg": 74.75988, "aux.loss_seg": 0.1014, "aux.acc_seg": 72.83083, "loss": 0.28565, "time": 0.73218} -{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.17865, "decode.acc_seg": 76.48962, "aux.loss_seg": 0.09734, "aux.acc_seg": 74.83458, "loss": 0.27599, "time": 0.73331} -{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.18263, "decode.acc_seg": 74.3031, "aux.loss_seg": 0.09957, "aux.acc_seg": 72.58771, "loss": 0.2822, "time": 0.7373} -{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.18346, "decode.acc_seg": 75.05988, "aux.loss_seg": 0.10049, "aux.acc_seg": 73.21326, "loss": 0.28395, "time": 0.73567} -{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.19204, "decode.acc_seg": 74.77613, "aux.loss_seg": 0.10238, "aux.acc_seg": 72.97229, "loss": 0.29442, "time": 0.72925} -{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.1814, "decode.acc_seg": 74.39078, "aux.loss_seg": 0.09791, "aux.acc_seg": 72.7208, "loss": 0.27931, "time": 0.72696} -{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17831, "decode.acc_seg": 74.84405, "aux.loss_seg": 0.09623, "aux.acc_seg": 73.15912, "loss": 0.27454, "time": 0.72978} -{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 26851, "data_time": 0.00748, "decode.loss_seg": 0.18444, "decode.acc_seg": 74.72479, "aux.loss_seg": 0.10197, "aux.acc_seg": 72.95138, "loss": 0.2864, "time": 0.73234} -{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.19429, "decode.acc_seg": 74.64884, "aux.loss_seg": 0.10526, "aux.acc_seg": 72.74487, "loss": 0.29955, "time": 0.73186} -{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.18826, "decode.acc_seg": 75.12432, "aux.loss_seg": 0.10452, "aux.acc_seg": 73.23276, "loss": 0.29278, "time": 0.7339} -{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.18766, "decode.acc_seg": 75.47696, "aux.loss_seg": 0.10218, "aux.acc_seg": 73.64654, "loss": 0.28983, "time": 0.72893} -{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18798, "decode.acc_seg": 73.76939, "aux.loss_seg": 0.1002, "aux.acc_seg": 72.20068, "loss": 0.28818, "time": 0.72897} -{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.1903, "decode.acc_seg": 73.96237, "aux.loss_seg": 0.10492, "aux.acc_seg": 71.95906, "loss": 0.29523, "time": 0.72453} -{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.1788, "decode.acc_seg": 73.9511, "aux.loss_seg": 0.09696, "aux.acc_seg": 72.26778, "loss": 0.27576, "time": 0.73192} -{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 26851, "data_time": 0.25161, "decode.loss_seg": 0.19417, "decode.acc_seg": 74.82841, "aux.loss_seg": 0.10469, "aux.acc_seg": 72.89925, "loss": 0.29886, "time": 0.97524} -{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.17596, "decode.acc_seg": 74.43525, "aux.loss_seg": 0.09643, "aux.acc_seg": 72.65309, "loss": 0.27239, "time": 0.72982} -{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.18754, "decode.acc_seg": 73.52319, "aux.loss_seg": 0.10246, "aux.acc_seg": 71.81095, "loss": 0.29, "time": 0.73569} -{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.17741, "decode.acc_seg": 73.54363, "aux.loss_seg": 0.09752, "aux.acc_seg": 71.7632, "loss": 0.27493, "time": 0.73295} -{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.17627, "decode.acc_seg": 73.50643, "aux.loss_seg": 0.09739, "aux.acc_seg": 71.6094, "loss": 0.27366, "time": 0.73517} -{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 26851, "data_time": 0.0085, "decode.loss_seg": 0.18035, "decode.acc_seg": 75.31837, "aux.loss_seg": 0.09775, "aux.acc_seg": 73.54584, "loss": 0.27809, "time": 0.74056} -{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17629, "decode.acc_seg": 76.04104, "aux.loss_seg": 0.09624, "aux.acc_seg": 74.27029, "loss": 0.27253, "time": 0.73236} -{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.18616, "decode.acc_seg": 73.95444, "aux.loss_seg": 0.10111, "aux.acc_seg": 72.2976, "loss": 0.28727, "time": 0.73564} -{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.18226, "decode.acc_seg": 74.81916, "aux.loss_seg": 0.09724, "aux.acc_seg": 73.26405, "loss": 0.2795, "time": 0.73198} -{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18049, "decode.acc_seg": 74.98012, "aux.loss_seg": 0.0985, "aux.acc_seg": 73.2927, "loss": 0.27899, "time": 0.73481} -{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.1917, "decode.acc_seg": 74.75768, "aux.loss_seg": 0.10357, "aux.acc_seg": 73.01258, "loss": 0.29528, "time": 0.73178} -{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.17795, "decode.acc_seg": 73.34682, "aux.loss_seg": 0.09626, "aux.acc_seg": 71.60031, "loss": 0.27421, "time": 0.73333} -{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.1824, "decode.acc_seg": 75.45747, "aux.loss_seg": 0.09996, "aux.acc_seg": 73.6744, "loss": 0.28236, "time": 0.74127} -{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.1816, "decode.acc_seg": 74.14126, "aux.loss_seg": 0.09914, "aux.acc_seg": 72.33477, "loss": 0.28074, "time": 0.73131} -{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17112, "decode.acc_seg": 73.52911, "aux.loss_seg": 0.09547, "aux.acc_seg": 71.65149, "loss": 0.26659, "time": 0.72977} -{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.18576, "decode.acc_seg": 75.97867, "aux.loss_seg": 0.10161, "aux.acc_seg": 74.15042, "loss": 0.28736, "time": 0.73324} -{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.18012, "decode.acc_seg": 74.27555, "aux.loss_seg": 0.10141, "aux.acc_seg": 72.3274, "loss": 0.28153, "time": 0.73205} -{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.18851, "decode.acc_seg": 75.42746, "aux.loss_seg": 0.10023, "aux.acc_seg": 73.8751, "loss": 0.28874, "time": 0.73316} -{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.18257, "decode.acc_seg": 75.43743, "aux.loss_seg": 0.10016, "aux.acc_seg": 73.62929, "loss": 0.28273, "time": 0.72873} -{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.19295, "decode.acc_seg": 75.13954, "aux.loss_seg": 0.10472, "aux.acc_seg": 73.31765, "loss": 0.29767, "time": 0.72378} -{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.16946, "decode.acc_seg": 74.61868, "aux.loss_seg": 0.09482, "aux.acc_seg": 72.88323, "loss": 0.26428, "time": 0.72362} -{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.1747, "decode.acc_seg": 74.23782, "aux.loss_seg": 0.09621, "aux.acc_seg": 72.4769, "loss": 0.27091, "time": 0.73477} -{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.17888, "decode.acc_seg": 74.80899, "aux.loss_seg": 0.09741, "aux.acc_seg": 73.08248, "loss": 0.27629, "time": 0.73511} -{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.18445, "decode.acc_seg": 74.53399, "aux.loss_seg": 0.10331, "aux.acc_seg": 72.57142, "loss": 0.28776, "time": 0.72878} -{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 26851, "data_time": 0.00841, "decode.loss_seg": 0.17661, "decode.acc_seg": 74.44662, "aux.loss_seg": 0.09564, "aux.acc_seg": 72.79748, "loss": 0.27225, "time": 0.73284} -{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 26851, "data_time": 0.24395, "decode.loss_seg": 0.19052, "decode.acc_seg": 76.02269, "aux.loss_seg": 0.10499, "aux.acc_seg": 74.0824, "loss": 0.2955, "time": 0.96228} -{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.18699, "decode.acc_seg": 74.61241, "aux.loss_seg": 0.10097, "aux.acc_seg": 72.75378, "loss": 0.28795, "time": 0.72405} -{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.1813, "decode.acc_seg": 75.46626, "aux.loss_seg": 0.09929, "aux.acc_seg": 73.74502, "loss": 0.28058, "time": 0.72543} -{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.18589, "decode.acc_seg": 75.98944, "aux.loss_seg": 0.10118, "aux.acc_seg": 74.14973, "loss": 0.28707, "time": 0.7276} -{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.17032, "decode.acc_seg": 75.14424, "aux.loss_seg": 0.09392, "aux.acc_seg": 73.37198, "loss": 0.26425, "time": 0.7382} -{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17802, "decode.acc_seg": 73.46818, "aux.loss_seg": 0.09885, "aux.acc_seg": 71.60248, "loss": 0.27687, "time": 0.72867} -{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18322, "decode.acc_seg": 74.27359, "aux.loss_seg": 0.10132, "aux.acc_seg": 72.30171, "loss": 0.28454, "time": 0.73297} -{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18028, "decode.acc_seg": 74.65892, "aux.loss_seg": 0.09799, "aux.acc_seg": 72.95864, "loss": 0.27828, "time": 0.7334} -{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.18607, "decode.acc_seg": 74.34492, "aux.loss_seg": 0.10166, "aux.acc_seg": 72.51777, "loss": 0.28773, "time": 0.73371} -{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 26851, "data_time": 0.00752, "decode.loss_seg": 0.18816, "decode.acc_seg": 75.92879, "aux.loss_seg": 0.10384, "aux.acc_seg": 74.21564, "loss": 0.292, "time": 0.72704} -{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.19592, "decode.acc_seg": 74.5393, "aux.loss_seg": 0.10627, "aux.acc_seg": 72.60283, "loss": 0.30219, "time": 0.7277} -{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 26851, "data_time": 0.00759, "decode.loss_seg": 0.19215, "decode.acc_seg": 75.42366, "aux.loss_seg": 0.10273, "aux.acc_seg": 73.77331, "loss": 0.29488, "time": 0.72898} -{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.17812, "decode.acc_seg": 75.65818, "aux.loss_seg": 0.09592, "aux.acc_seg": 73.9544, "loss": 0.27404, "time": 0.73324} -{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 26851, "data_time": 0.00718, "decode.loss_seg": 0.1807, "decode.acc_seg": 74.74568, "aux.loss_seg": 0.10265, "aux.acc_seg": 72.73994, "loss": 0.28335, "time": 0.7274} -{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17863, "decode.acc_seg": 75.10595, "aux.loss_seg": 0.09619, "aux.acc_seg": 73.43639, "loss": 0.27482, "time": 0.73804} -{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17191, "decode.acc_seg": 73.16809, "aux.loss_seg": 0.09597, "aux.acc_seg": 71.24621, "loss": 0.26788, "time": 0.73212} -{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.17373, "decode.acc_seg": 74.84106, "aux.loss_seg": 0.09558, "aux.acc_seg": 73.12173, "loss": 0.26931, "time": 0.7325} -{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17559, "decode.acc_seg": 75.03308, "aux.loss_seg": 0.09555, "aux.acc_seg": 73.29674, "loss": 0.27114, "time": 0.72542} -{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.18636, "decode.acc_seg": 76.85358, "aux.loss_seg": 0.10125, "aux.acc_seg": 75.02315, "loss": 0.2876, "time": 0.73051} -{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.17507, "decode.acc_seg": 75.87435, "aux.loss_seg": 0.09674, "aux.acc_seg": 73.98505, "loss": 0.27181, "time": 0.72837} -{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.18188, "decode.acc_seg": 74.23013, "aux.loss_seg": 0.09933, "aux.acc_seg": 72.49238, "loss": 0.28121, "time": 0.73111} -{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17763, "decode.acc_seg": 73.90443, "aux.loss_seg": 0.09743, "aux.acc_seg": 72.24203, "loss": 0.27506, "time": 0.73935} -{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.18113, "decode.acc_seg": 73.86304, "aux.loss_seg": 0.1003, "aux.acc_seg": 71.99299, "loss": 0.28143, "time": 0.72934} -{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.18254, "decode.acc_seg": 75.35641, "aux.loss_seg": 0.10018, "aux.acc_seg": 73.61943, "loss": 0.28272, "time": 0.72529} -{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.17856, "decode.acc_seg": 73.76312, "aux.loss_seg": 0.09755, "aux.acc_seg": 72.07803, "loss": 0.27611, "time": 0.72372} -{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 26851, "data_time": 0.25117, "decode.loss_seg": 0.17408, "decode.acc_seg": 75.89643, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.28247, "loss": 0.26887, "time": 0.9702} -{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.18292, "decode.acc_seg": 75.13142, "aux.loss_seg": 0.10042, "aux.acc_seg": 73.28437, "loss": 0.28334, "time": 0.73298} -{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.16983, "decode.acc_seg": 73.54042, "aux.loss_seg": 0.09354, "aux.acc_seg": 71.85634, "loss": 0.26337, "time": 0.7321} -{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.17902, "decode.acc_seg": 75.1515, "aux.loss_seg": 0.0986, "aux.acc_seg": 73.41988, "loss": 0.27762, "time": 0.72646} -{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.18495, "decode.acc_seg": 75.39538, "aux.loss_seg": 0.10244, "aux.acc_seg": 73.47929, "loss": 0.28739, "time": 0.72662} -{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17705, "decode.acc_seg": 75.65376, "aux.loss_seg": 0.09812, "aux.acc_seg": 73.8339, "loss": 0.27517, "time": 0.73068} -{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.18584, "decode.acc_seg": 75.22066, "aux.loss_seg": 0.10066, "aux.acc_seg": 73.33104, "loss": 0.28651, "time": 0.73009} -{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.17672, "decode.acc_seg": 73.90188, "aux.loss_seg": 0.09528, "aux.acc_seg": 72.15268, "loss": 0.272, "time": 0.72779} -{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.19243, "decode.acc_seg": 74.58457, "aux.loss_seg": 0.10396, "aux.acc_seg": 72.80535, "loss": 0.29639, "time": 0.72309} -{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.18459, "decode.acc_seg": 74.80521, "aux.loss_seg": 0.09993, "aux.acc_seg": 73.02793, "loss": 0.28452, "time": 0.72744} -{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17924, "decode.acc_seg": 73.68147, "aux.loss_seg": 0.09883, "aux.acc_seg": 71.904, "loss": 0.27807, "time": 0.72702} -{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1795, "decode.acc_seg": 74.96123, "aux.loss_seg": 0.09776, "aux.acc_seg": 73.12287, "loss": 0.27727, "time": 0.73032} -{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.18501, "decode.acc_seg": 73.29354, "aux.loss_seg": 0.10101, "aux.acc_seg": 71.55834, "loss": 0.28602, "time": 0.72981} -{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.18429, "decode.acc_seg": 73.96875, "aux.loss_seg": 0.1018, "aux.acc_seg": 72.1019, "loss": 0.28609, "time": 0.7327} -{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.17794, "decode.acc_seg": 74.34341, "aux.loss_seg": 0.09933, "aux.acc_seg": 72.38419, "loss": 0.27727, "time": 0.72819} -{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.17942, "decode.acc_seg": 75.77592, "aux.loss_seg": 0.09755, "aux.acc_seg": 74.00555, "loss": 0.27697, "time": 0.72806} -{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.18539, "decode.acc_seg": 75.39497, "aux.loss_seg": 0.09941, "aux.acc_seg": 73.67405, "loss": 0.2848, "time": 0.72586} -{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.1922, "decode.acc_seg": 75.0673, "aux.loss_seg": 0.10269, "aux.acc_seg": 73.25086, "loss": 0.29489, "time": 0.72384} -{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18558, "decode.acc_seg": 75.70225, "aux.loss_seg": 0.10121, "aux.acc_seg": 74.01205, "loss": 0.28679, "time": 0.72836} -{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.19395, "decode.acc_seg": 73.87314, "aux.loss_seg": 0.10518, "aux.acc_seg": 71.97794, "loss": 0.29914, "time": 0.72913} -{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.17857, "decode.acc_seg": 74.33521, "aux.loss_seg": 0.09686, "aux.acc_seg": 72.72331, "loss": 0.27543, "time": 0.72879} -{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17305, "decode.acc_seg": 75.03008, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.42843, "loss": 0.26687, "time": 0.73141} -{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18051, "decode.acc_seg": 75.59477, "aux.loss_seg": 0.09931, "aux.acc_seg": 73.74235, "loss": 0.27982, "time": 0.72998} -{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.18104, "decode.acc_seg": 75.25643, "aux.loss_seg": 0.09888, "aux.acc_seg": 73.37631, "loss": 0.27993, "time": 0.72909} -{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.18513, "decode.acc_seg": 75.11443, "aux.loss_seg": 0.10092, "aux.acc_seg": 73.38499, "loss": 0.28605, "time": 0.72911} -{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 26851, "data_time": 0.23872, "decode.loss_seg": 0.1856, "decode.acc_seg": 75.29198, "aux.loss_seg": 0.10184, "aux.acc_seg": 73.41879, "loss": 0.28745, "time": 0.95837} -{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16829, "decode.acc_seg": 75.13909, "aux.loss_seg": 0.0918, "aux.acc_seg": 73.51504, "loss": 0.26009, "time": 0.73424} -{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.17669, "decode.acc_seg": 74.25032, "aux.loss_seg": 0.09659, "aux.acc_seg": 72.49145, "loss": 0.27328, "time": 0.73302} -{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.17973, "decode.acc_seg": 74.83329, "aux.loss_seg": 0.09905, "aux.acc_seg": 72.92594, "loss": 0.27878, "time": 0.7336} -{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18337, "decode.acc_seg": 75.3208, "aux.loss_seg": 0.10003, "aux.acc_seg": 73.57619, "loss": 0.2834, "time": 0.73598} -{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.17561, "decode.acc_seg": 75.93177, "aux.loss_seg": 0.097, "aux.acc_seg": 74.01491, "loss": 0.27261, "time": 0.72433} -{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.18189, "decode.acc_seg": 74.36994, "aux.loss_seg": 0.10042, "aux.acc_seg": 72.49394, "loss": 0.2823, "time": 0.7243} -{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.18523, "decode.acc_seg": 75.3784, "aux.loss_seg": 0.09911, "aux.acc_seg": 73.58824, "loss": 0.28434, "time": 0.72637} -{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.19144, "decode.acc_seg": 74.11574, "aux.loss_seg": 0.10481, "aux.acc_seg": 72.28474, "loss": 0.29625, "time": 0.72916} -{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.17637, "decode.acc_seg": 73.74551, "aux.loss_seg": 0.09834, "aux.acc_seg": 71.88249, "loss": 0.27471, "time": 0.73257} -{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.18322, "decode.acc_seg": 74.52963, "aux.loss_seg": 0.10031, "aux.acc_seg": 72.70729, "loss": 0.28353, "time": 0.72974} -{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.17928, "decode.acc_seg": 74.04764, "aux.loss_seg": 0.09619, "aux.acc_seg": 72.42172, "loss": 0.27547, "time": 0.73053} -{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.18221, "decode.acc_seg": 73.97778, "aux.loss_seg": 0.09886, "aux.acc_seg": 72.23957, "loss": 0.28107, "time": 0.72836} -{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.1814, "decode.acc_seg": 74.78962, "aux.loss_seg": 0.09852, "aux.acc_seg": 73.03029, "loss": 0.27992, "time": 0.72958} -{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.1763, "decode.acc_seg": 74.37693, "aux.loss_seg": 0.09772, "aux.acc_seg": 72.51834, "loss": 0.27401, "time": 0.73179} -{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.17141, "decode.acc_seg": 75.14349, "aux.loss_seg": 0.09467, "aux.acc_seg": 73.40425, "loss": 0.26609, "time": 0.73362} -{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18493, "decode.acc_seg": 74.88841, "aux.loss_seg": 0.09834, "aux.acc_seg": 73.26253, "loss": 0.28327, "time": 0.72847} -{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.17526, "decode.acc_seg": 74.89378, "aux.loss_seg": 0.09459, "aux.acc_seg": 73.21557, "loss": 0.26985, "time": 0.72468} -{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.18858, "decode.acc_seg": 74.7906, "aux.loss_seg": 0.10309, "aux.acc_seg": 73.01302, "loss": 0.29167, "time": 0.72567} -{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.17081, "decode.acc_seg": 74.4643, "aux.loss_seg": 0.09368, "aux.acc_seg": 72.67463, "loss": 0.26448, "time": 0.72632} -{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.18393, "decode.acc_seg": 75.09771, "aux.loss_seg": 0.09961, "aux.acc_seg": 73.35371, "loss": 0.28354, "time": 0.72729} -{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.18114, "decode.acc_seg": 74.78822, "aux.loss_seg": 0.10205, "aux.acc_seg": 72.79326, "loss": 0.28319, "time": 0.7287} -{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.17769, "decode.acc_seg": 75.97236, "aux.loss_seg": 0.09696, "aux.acc_seg": 74.28101, "loss": 0.27465, "time": 0.72679} -{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.17993, "decode.acc_seg": 73.77805, "aux.loss_seg": 0.09859, "aux.acc_seg": 71.98591, "loss": 0.27851, "time": 0.73071} -{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.18237, "decode.acc_seg": 75.6069, "aux.loss_seg": 0.09891, "aux.acc_seg": 73.91512, "loss": 0.28127, "time": 0.74538} -{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 26851, "data_time": 0.00781, "decode.loss_seg": 0.17738, "decode.acc_seg": 75.79846, "aux.loss_seg": 0.0973, "aux.acc_seg": 74.07063, "loss": 0.27468, "time": 0.72844} -{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 26851, "data_time": 0.24658, "decode.loss_seg": 0.18305, "decode.acc_seg": 74.61996, "aux.loss_seg": 0.10041, "aux.acc_seg": 72.77746, "loss": 0.28347, "time": 0.9622} -{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.16714, "decode.acc_seg": 75.54801, "aux.loss_seg": 0.09157, "aux.acc_seg": 73.80927, "loss": 0.25871, "time": 0.7253} -{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.1806, "decode.acc_seg": 75.74717, "aux.loss_seg": 0.09892, "aux.acc_seg": 73.96549, "loss": 0.27952, "time": 0.72764} -{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17492, "decode.acc_seg": 74.71083, "aux.loss_seg": 0.09688, "aux.acc_seg": 72.91803, "loss": 0.27179, "time": 0.72985} -{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.16947, "decode.acc_seg": 73.86066, "aux.loss_seg": 0.09512, "aux.acc_seg": 72.01573, "loss": 0.26458, "time": 0.73409} -{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.18047, "decode.acc_seg": 75.78662, "aux.loss_seg": 0.1007, "aux.acc_seg": 73.83877, "loss": 0.28118, "time": 0.72916} -{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.19203, "decode.acc_seg": 75.19482, "aux.loss_seg": 0.10303, "aux.acc_seg": 73.4065, "loss": 0.29506, "time": 0.73403} -{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.17475, "decode.acc_seg": 75.81417, "aux.loss_seg": 0.09593, "aux.acc_seg": 74.02559, "loss": 0.27068, "time": 0.72571} -{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.18287, "decode.acc_seg": 76.08989, "aux.loss_seg": 0.10066, "aux.acc_seg": 74.25905, "loss": 0.28353, "time": 0.72597} -{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.17967, "decode.acc_seg": 73.30091, "aux.loss_seg": 0.09733, "aux.acc_seg": 71.67008, "loss": 0.277, "time": 0.7368} -{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.17438, "decode.acc_seg": 74.71574, "aux.loss_seg": 0.09757, "aux.acc_seg": 72.87864, "loss": 0.27195, "time": 0.72784} -{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.17895, "decode.acc_seg": 75.15325, "aux.loss_seg": 0.09867, "aux.acc_seg": 73.39299, "loss": 0.27762, "time": 0.72855} -{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18136, "decode.acc_seg": 75.40984, "aux.loss_seg": 0.09977, "aux.acc_seg": 73.54362, "loss": 0.28112, "time": 0.73033} -{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1744, "decode.acc_seg": 73.44954, "aux.loss_seg": 0.09396, "aux.acc_seg": 71.88897, "loss": 0.26835, "time": 0.73151} -{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.1727, "decode.acc_seg": 75.24692, "aux.loss_seg": 0.09552, "aux.acc_seg": 73.50595, "loss": 0.26822, "time": 0.73039} -{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17705, "decode.acc_seg": 75.52957, "aux.loss_seg": 0.09701, "aux.acc_seg": 73.8034, "loss": 0.27406, "time": 0.73099} -{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.17905, "decode.acc_seg": 74.98558, "aux.loss_seg": 0.09608, "aux.acc_seg": 73.33902, "loss": 0.27513, "time": 0.73627} -{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 26851, "data_time": 0.00868, "decode.loss_seg": 0.17151, "decode.acc_seg": 74.83867, "aux.loss_seg": 0.09374, "aux.acc_seg": 73.28393, "loss": 0.26525, "time": 0.73502} -{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.17242, "decode.acc_seg": 74.16578, "aux.loss_seg": 0.09487, "aux.acc_seg": 72.35217, "loss": 0.26729, "time": 0.73117} -{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.18831, "decode.acc_seg": 75.87309, "aux.loss_seg": 0.10111, "aux.acc_seg": 74.16188, "loss": 0.28942, "time": 0.73211} -{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.1741, "decode.acc_seg": 74.73611, "aux.loss_seg": 0.09407, "aux.acc_seg": 73.07041, "loss": 0.26817, "time": 0.72583} -{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.18037, "decode.acc_seg": 75.60913, "aux.loss_seg": 0.09792, "aux.acc_seg": 73.89339, "loss": 0.27829, "time": 0.72388} -{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.18008, "decode.acc_seg": 75.23379, "aux.loss_seg": 0.10055, "aux.acc_seg": 73.22541, "loss": 0.28063, "time": 0.72778} -{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.18509, "decode.acc_seg": 74.02713, "aux.loss_seg": 0.10138, "aux.acc_seg": 72.19467, "loss": 0.28647, "time": 0.72857} -{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.18135, "decode.acc_seg": 73.3868, "aux.loss_seg": 0.09917, "aux.acc_seg": 71.66314, "loss": 0.28052, "time": 0.73116} -{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 26851, "data_time": 0.24737, "decode.loss_seg": 0.18105, "decode.acc_seg": 74.10845, "aux.loss_seg": 0.09818, "aux.acc_seg": 72.48021, "loss": 0.27922, "time": 0.97233} -{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.1857, "decode.acc_seg": 74.16576, "aux.loss_seg": 0.09977, "aux.acc_seg": 72.46, "loss": 0.28548, "time": 0.73244} -{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17412, "decode.acc_seg": 74.81367, "aux.loss_seg": 0.09603, "aux.acc_seg": 73.0758, "loss": 0.27015, "time": 0.72729} -{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.17732, "decode.acc_seg": 75.41526, "aux.loss_seg": 0.09637, "aux.acc_seg": 73.65741, "loss": 0.27369, "time": 0.72816} -{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.17906, "decode.acc_seg": 73.47757, "aux.loss_seg": 0.09775, "aux.acc_seg": 71.74968, "loss": 0.27681, "time": 0.72984} -{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17424, "decode.acc_seg": 74.40911, "aux.loss_seg": 0.09655, "aux.acc_seg": 72.69026, "loss": 0.27078, "time": 0.73409} -{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 26851, "data_time": 0.00928, "decode.loss_seg": 0.17434, "decode.acc_seg": 75.65314, "aux.loss_seg": 0.09687, "aux.acc_seg": 73.81279, "loss": 0.27121, "time": 0.73156} -{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.17113, "decode.acc_seg": 73.70797, "aux.loss_seg": 0.09539, "aux.acc_seg": 71.8829, "loss": 0.26653, "time": 0.72368} -{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.18507, "decode.acc_seg": 75.08999, "aux.loss_seg": 0.10217, "aux.acc_seg": 73.2307, "loss": 0.28723, "time": 0.73152} -{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 26851, "data_time": 0.00876, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.87935, "aux.loss_seg": 0.10068, "aux.acc_seg": 73.06752, "loss": 0.28248, "time": 0.72817} -{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 26851, "data_time": 0.00912, "decode.loss_seg": 0.17561, "decode.acc_seg": 74.61846, "aux.loss_seg": 0.09788, "aux.acc_seg": 72.84172, "loss": 0.27349, "time": 0.73298} -{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.17686, "decode.acc_seg": 74.79147, "aux.loss_seg": 0.09667, "aux.acc_seg": 73.06696, "loss": 0.27353, "time": 0.72929} -{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.18273, "decode.acc_seg": 74.65419, "aux.loss_seg": 0.09899, "aux.acc_seg": 72.94609, "loss": 0.28173, "time": 0.72684} -{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 26851, "data_time": 0.00915, "decode.loss_seg": 0.17783, "decode.acc_seg": 74.60566, "aux.loss_seg": 0.09702, "aux.acc_seg": 72.84991, "loss": 0.27485, "time": 0.73211} -{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 26851, "data_time": 0.00917, "decode.loss_seg": 0.17014, "decode.acc_seg": 75.19401, "aux.loss_seg": 0.09355, "aux.acc_seg": 73.46663, "loss": 0.2637, "time": 0.72922} -{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 26851, "data_time": 0.00947, "decode.loss_seg": 0.17026, "decode.acc_seg": 75.57898, "aux.loss_seg": 0.09465, "aux.acc_seg": 73.82358, "loss": 0.26491, "time": 0.73252} -{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 26851, "data_time": 0.00933, "decode.loss_seg": 0.18261, "decode.acc_seg": 74.29243, "aux.loss_seg": 0.10181, "aux.acc_seg": 72.40214, "loss": 0.28442, "time": 0.73201} -{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 26851, "data_time": 0.00895, "decode.loss_seg": 0.17362, "decode.acc_seg": 74.56249, "aux.loss_seg": 0.09596, "aux.acc_seg": 72.73918, "loss": 0.26958, "time": 0.73263} -{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 26851, "data_time": 0.00915, "decode.loss_seg": 0.18012, "decode.acc_seg": 74.28196, "aux.loss_seg": 0.09877, "aux.acc_seg": 72.44256, "loss": 0.27889, "time": 0.72813} -{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 26851, "data_time": 0.00938, "decode.loss_seg": 0.17599, "decode.acc_seg": 75.15593, "aux.loss_seg": 0.09577, "aux.acc_seg": 73.47189, "loss": 0.27176, "time": 0.72551} -{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 26851, "data_time": 0.00965, "decode.loss_seg": 0.17504, "decode.acc_seg": 75.27527, "aux.loss_seg": 0.09621, "aux.acc_seg": 73.46942, "loss": 0.27125, "time": 0.734} -{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 26851, "data_time": 0.00934, "decode.loss_seg": 0.1736, "decode.acc_seg": 75.11448, "aux.loss_seg": 0.09644, "aux.acc_seg": 73.38522, "loss": 0.27004, "time": 0.73159} -{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17667, "decode.acc_seg": 74.94941, "aux.loss_seg": 0.09587, "aux.acc_seg": 73.22777, "loss": 0.27253, "time": 0.72897} -{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.17142, "decode.acc_seg": 74.59936, "aux.loss_seg": 0.09646, "aux.acc_seg": 72.75354, "loss": 0.26789, "time": 0.73038} -{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.18005, "decode.acc_seg": 75.20388, "aux.loss_seg": 0.0999, "aux.acc_seg": 73.34432, "loss": 0.27995, "time": 0.73221} -{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 26851, "data_time": 0.24486, "decode.loss_seg": 0.17134, "decode.acc_seg": 75.30597, "aux.loss_seg": 0.09548, "aux.acc_seg": 73.52578, "loss": 0.26682, "time": 0.97551} -{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.17188, "decode.acc_seg": 76.53954, "aux.loss_seg": 0.09494, "aux.acc_seg": 74.81434, "loss": 0.26681, "time": 0.72613} -{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.16988, "decode.acc_seg": 74.28905, "aux.loss_seg": 0.09375, "aux.acc_seg": 72.47309, "loss": 0.26363, "time": 0.72328} -{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.16723, "decode.acc_seg": 74.78774, "aux.loss_seg": 0.09134, "aux.acc_seg": 73.13576, "loss": 0.25856, "time": 0.72528} -{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17948, "decode.acc_seg": 76.55781, "aux.loss_seg": 0.09794, "aux.acc_seg": 74.7633, "loss": 0.27742, "time": 0.72537} -{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17228, "decode.acc_seg": 75.68929, "aux.loss_seg": 0.09503, "aux.acc_seg": 73.908, "loss": 0.26732, "time": 0.72788} -{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17048, "decode.acc_seg": 75.80272, "aux.loss_seg": 0.0927, "aux.acc_seg": 74.19421, "loss": 0.26318, "time": 0.72676} -{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.1718, "decode.acc_seg": 74.64312, "aux.loss_seg": 0.09507, "aux.acc_seg": 72.87909, "loss": 0.26687, "time": 0.72629} -{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.16464, "decode.acc_seg": 74.37804, "aux.loss_seg": 0.08995, "aux.acc_seg": 72.8397, "loss": 0.25459, "time": 0.72969} -{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 26851, "data_time": 0.0076, "decode.loss_seg": 0.17849, "decode.acc_seg": 75.19143, "aux.loss_seg": 0.09864, "aux.acc_seg": 73.37658, "loss": 0.27713, "time": 0.73367} -{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.1806, "decode.acc_seg": 75.12283, "aux.loss_seg": 0.09973, "aux.acc_seg": 73.24756, "loss": 0.28032, "time": 0.73137} -{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17997, "decode.acc_seg": 75.47527, "aux.loss_seg": 0.0979, "aux.acc_seg": 73.812, "loss": 0.27787, "time": 0.72914} -{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.17242, "decode.acc_seg": 74.87039, "aux.loss_seg": 0.09529, "aux.acc_seg": 73.04049, "loss": 0.26771, "time": 0.73324} -{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.18394, "decode.acc_seg": 73.10132, "aux.loss_seg": 0.10057, "aux.acc_seg": 71.33729, "loss": 0.28452, "time": 0.72716} -{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.17864, "decode.acc_seg": 75.07964, "aux.loss_seg": 0.10155, "aux.acc_seg": 73.19784, "loss": 0.28019, "time": 0.72626} -{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17814, "decode.acc_seg": 75.21674, "aux.loss_seg": 0.0966, "aux.acc_seg": 73.52888, "loss": 0.27474, "time": 0.73455} -{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17477, "decode.acc_seg": 74.63119, "aux.loss_seg": 0.09492, "aux.acc_seg": 72.86196, "loss": 0.26969, "time": 0.73313} -{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 26851, "data_time": 0.00787, "decode.loss_seg": 0.17456, "decode.acc_seg": 73.73898, "aux.loss_seg": 0.09581, "aux.acc_seg": 71.93679, "loss": 0.27037, "time": 0.7308} -{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.18608, "decode.acc_seg": 74.03998, "aux.loss_seg": 0.10206, "aux.acc_seg": 72.22253, "loss": 0.28814, "time": 0.73122} -{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.17288, "decode.acc_seg": 75.93501, "aux.loss_seg": 0.09533, "aux.acc_seg": 74.12684, "loss": 0.26821, "time": 0.72981} -{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.18038, "decode.acc_seg": 74.79612, "aux.loss_seg": 0.09805, "aux.acc_seg": 73.09997, "loss": 0.27843, "time": 0.72733} -{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18086, "decode.acc_seg": 75.02664, "aux.loss_seg": 0.0988, "aux.acc_seg": 73.16322, "loss": 0.27966, "time": 0.72584} -{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17439, "decode.acc_seg": 75.07593, "aux.loss_seg": 0.09797, "aux.acc_seg": 73.24831, "loss": 0.27236, "time": 0.72771} -{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.18232, "decode.acc_seg": 74.74457, "aux.loss_seg": 0.09995, "aux.acc_seg": 72.99874, "loss": 0.28227, "time": 0.72407} -{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1729, "decode.acc_seg": 75.41286, "aux.loss_seg": 0.09481, "aux.acc_seg": 73.61339, "loss": 0.26771, "time": 0.73328} -{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 26851, "data_time": 0.24291, "decode.loss_seg": 0.17565, "decode.acc_seg": 76.08054, "aux.loss_seg": 0.09388, "aux.acc_seg": 74.6036, "loss": 0.26953, "time": 0.96424} -{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.17701, "decode.acc_seg": 76.09996, "aux.loss_seg": 0.09736, "aux.acc_seg": 74.32011, "loss": 0.27437, "time": 0.72721} -{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.19102, "decode.acc_seg": 74.91036, "aux.loss_seg": 0.10451, "aux.acc_seg": 73.02494, "loss": 0.29553, "time": 0.73564} -{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.17313, "decode.acc_seg": 75.3805, "aux.loss_seg": 0.09718, "aux.acc_seg": 73.51834, "loss": 0.27031, "time": 0.72762} -{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17102, "decode.acc_seg": 74.27669, "aux.loss_seg": 0.09454, "aux.acc_seg": 72.43839, "loss": 0.26556, "time": 0.7314} -{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.18314, "decode.acc_seg": 73.48557, "aux.loss_seg": 0.10033, "aux.acc_seg": 71.71935, "loss": 0.28347, "time": 0.73133} -{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 26851, "data_time": 0.00852, "decode.loss_seg": 0.17842, "decode.acc_seg": 75.11197, "aux.loss_seg": 0.0987, "aux.acc_seg": 73.25009, "loss": 0.27712, "time": 0.72944} -{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.1781, "decode.acc_seg": 75.96277, "aux.loss_seg": 0.09746, "aux.acc_seg": 74.18175, "loss": 0.27556, "time": 0.7307} -{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.17714, "decode.acc_seg": 74.96507, "aux.loss_seg": 0.09756, "aux.acc_seg": 73.1858, "loss": 0.2747, "time": 0.72624} -{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.18158, "decode.acc_seg": 74.68174, "aux.loss_seg": 0.10167, "aux.acc_seg": 72.6345, "loss": 0.28325, "time": 0.73428} -{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17237, "decode.acc_seg": 74.22926, "aux.loss_seg": 0.09645, "aux.acc_seg": 72.3523, "loss": 0.26882, "time": 0.732} -{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 26851, "data_time": 0.00827, "decode.loss_seg": 0.17301, "decode.acc_seg": 75.44732, "aux.loss_seg": 0.0949, "aux.acc_seg": 73.64059, "loss": 0.26791, "time": 0.72833} -{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.17004, "decode.acc_seg": 73.91745, "aux.loss_seg": 0.093, "aux.acc_seg": 72.35655, "loss": 0.26304, "time": 0.73019} -{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.17505, "decode.acc_seg": 75.04453, "aux.loss_seg": 0.09778, "aux.acc_seg": 73.18715, "loss": 0.27283, "time": 0.72744} -{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.16922, "decode.acc_seg": 74.52965, "aux.loss_seg": 0.09281, "aux.acc_seg": 72.87951, "loss": 0.26203, "time": 0.72527} -{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.17359, "decode.acc_seg": 75.73342, "aux.loss_seg": 0.09589, "aux.acc_seg": 73.87798, "loss": 0.26949, "time": 0.72862} -{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.18554, "decode.acc_seg": 75.04112, "aux.loss_seg": 0.10019, "aux.acc_seg": 73.36972, "loss": 0.28573, "time": 0.728} -{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17576, "decode.acc_seg": 74.35146, "aux.loss_seg": 0.09703, "aux.acc_seg": 72.48008, "loss": 0.27279, "time": 0.7309} -{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.16848, "decode.acc_seg": 74.32519, "aux.loss_seg": 0.09148, "aux.acc_seg": 72.70892, "loss": 0.25996, "time": 0.73} -{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17631, "decode.acc_seg": 74.69249, "aux.loss_seg": 0.09745, "aux.acc_seg": 72.96625, "loss": 0.27375, "time": 0.72491} -{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.17445, "decode.acc_seg": 73.68454, "aux.loss_seg": 0.09849, "aux.acc_seg": 71.83119, "loss": 0.27294, "time": 0.729} -{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.17834, "decode.acc_seg": 74.33041, "aux.loss_seg": 0.09791, "aux.acc_seg": 72.61106, "loss": 0.27625, "time": 0.7285} -{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 26851, "data_time": 0.00858, "decode.loss_seg": 0.17664, "decode.acc_seg": 75.07554, "aux.loss_seg": 0.09634, "aux.acc_seg": 73.29172, "loss": 0.27298, "time": 0.73327} -{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.17316, "decode.acc_seg": 75.1902, "aux.loss_seg": 0.09312, "aux.acc_seg": 73.63237, "loss": 0.26628, "time": 0.73227} -{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.17131, "decode.acc_seg": 74.18362, "aux.loss_seg": 0.09452, "aux.acc_seg": 72.40002, "loss": 0.26584, "time": 0.73173} -{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.18332, "decode.acc_seg": 74.11551, "aux.loss_seg": 0.09843, "aux.acc_seg": 72.35541, "loss": 0.28176, "time": 0.73242} -{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 26851, "data_time": 0.24559, "decode.loss_seg": 0.17827, "decode.acc_seg": 74.85544, "aux.loss_seg": 0.09947, "aux.acc_seg": 72.99202, "loss": 0.27774, "time": 0.96195} -{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.17716, "decode.acc_seg": 75.4368, "aux.loss_seg": 0.0977, "aux.acc_seg": 73.72858, "loss": 0.27486, "time": 0.72325} -{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.18379, "decode.acc_seg": 74.41139, "aux.loss_seg": 0.10212, "aux.acc_seg": 72.48402, "loss": 0.28591, "time": 0.72715} -{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 26851, "data_time": 0.009, "decode.loss_seg": 0.17356, "decode.acc_seg": 74.74733, "aux.loss_seg": 0.09401, "aux.acc_seg": 73.15228, "loss": 0.26757, "time": 0.73819} -{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.18086, "decode.acc_seg": 76.53635, "aux.loss_seg": 0.10036, "aux.acc_seg": 74.73415, "loss": 0.28122, "time": 0.72797} -{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.16838, "decode.acc_seg": 75.51444, "aux.loss_seg": 0.09215, "aux.acc_seg": 73.79364, "loss": 0.26053, "time": 0.73503} -{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.16625, "decode.acc_seg": 74.49379, "aux.loss_seg": 0.09361, "aux.acc_seg": 72.66686, "loss": 0.25986, "time": 0.72976} -{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.18336, "decode.acc_seg": 75.72918, "aux.loss_seg": 0.10114, "aux.acc_seg": 73.89279, "loss": 0.2845, "time": 0.7247} -{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.16568, "decode.acc_seg": 74.00826, "aux.loss_seg": 0.09087, "aux.acc_seg": 72.39404, "loss": 0.25655, "time": 0.72567} -{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 26851, "data_time": 0.00863, "decode.loss_seg": 0.16167, "decode.acc_seg": 73.65207, "aux.loss_seg": 0.0894, "aux.acc_seg": 71.97034, "loss": 0.25107, "time": 0.7299} -{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.17489, "decode.acc_seg": 75.58259, "aux.loss_seg": 0.09662, "aux.acc_seg": 73.75542, "loss": 0.2715, "time": 0.73663} -{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.17763, "decode.acc_seg": 74.50921, "aux.loss_seg": 0.09791, "aux.acc_seg": 72.64721, "loss": 0.27554, "time": 0.72825} -{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.16799, "decode.acc_seg": 75.82528, "aux.loss_seg": 0.09393, "aux.acc_seg": 74.04982, "loss": 0.26192, "time": 0.73037} -{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.17562, "decode.acc_seg": 75.19247, "aux.loss_seg": 0.09647, "aux.acc_seg": 73.42274, "loss": 0.27209, "time": 0.72446} -{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.1727, "decode.acc_seg": 74.2375, "aux.loss_seg": 0.09845, "aux.acc_seg": 72.36842, "loss": 0.27115, "time": 0.7288} -{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.187, "decode.acc_seg": 75.48394, "aux.loss_seg": 0.0998, "aux.acc_seg": 73.80489, "loss": 0.2868, "time": 0.73166} -{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16833, "decode.acc_seg": 73.56955, "aux.loss_seg": 0.09147, "aux.acc_seg": 71.96456, "loss": 0.2598, "time": 0.72927} -{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 26851, "data_time": 0.00892, "decode.loss_seg": 0.17375, "decode.acc_seg": 75.74421, "aux.loss_seg": 0.09475, "aux.acc_seg": 74.07653, "loss": 0.2685, "time": 0.73384} -{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17655, "decode.acc_seg": 73.89531, "aux.loss_seg": 0.09519, "aux.acc_seg": 72.23249, "loss": 0.27174, "time": 0.72959} -{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.1766, "decode.acc_seg": 74.13386, "aux.loss_seg": 0.09825, "aux.acc_seg": 72.3439, "loss": 0.27485, "time": 0.72825} -{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 26851, "data_time": 0.00846, "decode.loss_seg": 0.17934, "decode.acc_seg": 75.71322, "aux.loss_seg": 0.09986, "aux.acc_seg": 73.82565, "loss": 0.2792, "time": 0.72525} -{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.16854, "decode.acc_seg": 74.23694, "aux.loss_seg": 0.09245, "aux.acc_seg": 72.55782, "loss": 0.26099, "time": 0.72323} -{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.17285, "decode.acc_seg": 75.54352, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.6631, "loss": 0.26916, "time": 0.73001} -{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.17548, "decode.acc_seg": 75.11298, "aux.loss_seg": 0.09815, "aux.acc_seg": 73.35029, "loss": 0.27363, "time": 0.72794} -{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.17651, "decode.acc_seg": 74.26674, "aux.loss_seg": 0.0964, "aux.acc_seg": 72.52902, "loss": 0.27291, "time": 0.73253} -{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 26851, "data_time": 0.24442, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.37686, "aux.loss_seg": 0.09448, "aux.acc_seg": 73.61746, "loss": 0.26412, "time": 0.96822} -{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 26851, "data_time": 0.00831, "decode.loss_seg": 0.17316, "decode.acc_seg": 74.28718, "aux.loss_seg": 0.09637, "aux.acc_seg": 72.45044, "loss": 0.26953, "time": 0.72911} -{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17571, "decode.acc_seg": 74.3909, "aux.loss_seg": 0.09753, "aux.acc_seg": 72.5397, "loss": 0.27324, "time": 0.72684} -{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.1688, "decode.acc_seg": 75.1129, "aux.loss_seg": 0.09369, "aux.acc_seg": 73.37741, "loss": 0.26249, "time": 0.72549} -{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.16358, "decode.acc_seg": 75.10792, "aux.loss_seg": 0.09092, "aux.acc_seg": 73.41158, "loss": 0.2545, "time": 0.73378} -{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17606, "decode.acc_seg": 73.84983, "aux.loss_seg": 0.09575, "aux.acc_seg": 72.12484, "loss": 0.27181, "time": 0.73271} -{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.1791, "decode.acc_seg": 75.63052, "aux.loss_seg": 0.09943, "aux.acc_seg": 73.88279, "loss": 0.27854, "time": 0.73202} -{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.17127, "decode.acc_seg": 76.47822, "aux.loss_seg": 0.09422, "aux.acc_seg": 74.79229, "loss": 0.26549, "time": 0.72961} -{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.1783, "decode.acc_seg": 74.4228, "aux.loss_seg": 0.09848, "aux.acc_seg": 72.50675, "loss": 0.27678, "time": 0.72921} -{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.17312, "decode.acc_seg": 74.21634, "aux.loss_seg": 0.0967, "aux.acc_seg": 72.32224, "loss": 0.26982, "time": 0.72898} -{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17051, "decode.acc_seg": 75.73271, "aux.loss_seg": 0.09754, "aux.acc_seg": 73.76204, "loss": 0.26805, "time": 0.72502} -{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.1619, "decode.acc_seg": 73.76524, "aux.loss_seg": 0.08992, "aux.acc_seg": 72.04684, "loss": 0.25182, "time": 0.72638} -{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17925, "decode.acc_seg": 75.80787, "aux.loss_seg": 0.09734, "aux.acc_seg": 74.07361, "loss": 0.27659, "time": 0.73305} -{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.16906, "decode.acc_seg": 73.46522, "aux.loss_seg": 0.09271, "aux.acc_seg": 71.7984, "loss": 0.26177, "time": 0.73109} -{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17568, "decode.acc_seg": 74.96465, "aux.loss_seg": 0.09572, "aux.acc_seg": 73.30905, "loss": 0.2714, "time": 0.72986} -{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.16598, "decode.acc_seg": 73.6383, "aux.loss_seg": 0.09276, "aux.acc_seg": 71.83538, "loss": 0.25874, "time": 0.72519} -{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.17257, "decode.acc_seg": 74.51567, "aux.loss_seg": 0.09416, "aux.acc_seg": 72.79189, "loss": 0.26673, "time": 0.72875} -{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.17252, "decode.acc_seg": 74.11124, "aux.loss_seg": 0.09502, "aux.acc_seg": 72.3605, "loss": 0.26754, "time": 0.72995} -{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.1788, "decode.acc_seg": 76.05624, "aux.loss_seg": 0.09707, "aux.acc_seg": 74.36194, "loss": 0.27587, "time": 0.73025} -{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.17306, "decode.acc_seg": 73.72069, "aux.loss_seg": 0.09496, "aux.acc_seg": 71.98916, "loss": 0.26802, "time": 0.72607} -{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.17023, "decode.acc_seg": 74.63907, "aux.loss_seg": 0.09452, "aux.acc_seg": 72.93617, "loss": 0.26474, "time": 0.72361} -{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1731, "decode.acc_seg": 76.34495, "aux.loss_seg": 0.096, "aux.acc_seg": 74.51343, "loss": 0.2691, "time": 0.72896} -{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17915, "decode.acc_seg": 73.96092, "aux.loss_seg": 0.1, "aux.acc_seg": 72.04981, "loss": 0.27915, "time": 0.73107} -{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17282, "decode.acc_seg": 76.34425, "aux.loss_seg": 0.09469, "aux.acc_seg": 74.52311, "loss": 0.2675, "time": 0.72997} -{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.16619, "decode.acc_seg": 73.5717, "aux.loss_seg": 0.09224, "aux.acc_seg": 71.82829, "loss": 0.25843, "time": 0.73266} -{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4731, "mAcc": 0.5916, "aAcc": 0.8216, "IoU.wall": 0.7618, "IoU.building": 0.814, "IoU.sky": 0.9383, "IoU.floor": 0.812, "IoU.tree": 0.7361, "IoU.ceiling": 0.8331, "IoU.road": 0.8303, "IoU.bed ": 0.8672, "IoU.windowpane": 0.5998, "IoU.grass": 0.6557, "IoU.cabinet": 0.5926, "IoU.sidewalk": 0.6483, "IoU.person": 0.7765, "IoU.earth": 0.3751, "IoU.door": 0.433, "IoU.table": 0.5839, "IoU.mountain": 0.5485, "IoU.plant": 0.5133, "IoU.curtain": 0.7225, "IoU.chair": 0.5485, "IoU.car": 0.8199, "IoU.water": 0.4934, "IoU.painting": 0.7177, "IoU.sofa": 0.6085, "IoU.shelf": 0.4329, "IoU.house": 0.3996, "IoU.sea": 0.4994, "IoU.mirror": 0.6244, "IoU.rug": 0.6444, "IoU.field": 0.2937, "IoU.armchair": 0.4278, "IoU.seat": 0.6269, "IoU.fence": 0.4119, "IoU.desk": 0.4694, "IoU.rock": 0.3608, "IoU.wardrobe": 0.4667, "IoU.lamp": 0.6025, "IoU.bathtub": 0.7649, "IoU.railing": 0.3642, "IoU.cushion": 0.5218, "IoU.base": 0.2933, "IoU.box": 0.2782, "IoU.column": 0.4195, "IoU.signboard": 0.3751, "IoU.chest of drawers": 0.3697, "IoU.counter": 0.343, "IoU.sand": 0.509, "IoU.sink": 0.707, "IoU.skyscraper": 0.4942, "IoU.fireplace": NaN, "IoU.refrigerator": 0.711, "IoU.grandstand": 0.4027, "IoU.path": 0.2874, "IoU.stairs": 0.2792, "IoU.runway": 0.7276, "IoU.case": 0.4628, "IoU.pool table": 0.9136, "IoU.pillow": 0.5543, "IoU.screen door": 0.6568, "IoU.stairway": 0.2721, "IoU.river": 0.1546, "IoU.bridge": 0.6948, "IoU.bookcase": 0.4595, "IoU.blind": NaN, "IoU.coffee table": 0.5436, "IoU.toilet": 0.8156, "IoU.flower": 0.4207, "IoU.book": 0.4543, "IoU.hill": 0.0724, "IoU.bench": 0.457, "IoU.countertop": 0.5125, "IoU.stove": 0.7001, "IoU.palm": 0.4847, "IoU.kitchen island": 0.3665, "IoU.computer": 0.6478, "IoU.swivel chair": 0.4312, "IoU.boat": 0.4122, "IoU.bar": 0.318, "IoU.arcade machine": 0.512, "IoU.hovel": 0.1596, "IoU.bus": 0.8388, "IoU.towel": 0.6328, "IoU.light": 0.5562, "IoU.truck": 0.1932, "IoU.tower": 0.0714, "IoU.chandelier": 0.6593, "IoU.awning": 0.292, "IoU.streetlight": 0.2166, "IoU.booth": 0.585, "IoU.television receiver": NaN, "IoU.airplane": 0.5765, "IoU.dirt track": 0.0891, "IoU.apparel": 0.2979, "IoU.pole": 0.179, "IoU.land": 0.0148, "IoU.bannister": 0.0931, "IoU.escalator": 0.2885, "IoU.ottoman": 0.388, "IoU.bottle": NaN, "IoU.buffet": 0.3167, "IoU.poster": 0.2713, "IoU.stage": 0.2174, "IoU.van": 0.3818, "IoU.ship": 0.5707, "IoU.fountain": 0.3408, "IoU.conveyer belt": 0.7751, "IoU.canopy": 0.1734, "IoU.washer": 0.6882, "IoU.plaything": 0.2444, "IoU.swimming pool": 0.6776, "IoU.stool": 0.3676, "IoU.barrel": 0.5416, "IoU.basket": 0.3271, "IoU.waterfall": 0.5015, "IoU.tent": 0.7793, "IoU.bag": 0.1167, "IoU.minibike": 0.7073, "IoU.cradle": NaN, "IoU.oven": 0.3409, "IoU.ball": 0.3907, "IoU.food": 0.5905, "IoU.step": 0.0758, "IoU.tank": 0.479, "IoU.trade name": 0.276, "IoU.microwave": 0.7012, "IoU.pot": 0.4956, "IoU.animal": NaN, "IoU.bicycle": 0.5378, "IoU.lake": 0.4767, "IoU.dishwasher": 0.537, "IoU.screen": 0.6993, "IoU.blanket": 0.1627, "IoU.sculpture": 0.664, "IoU.hood": 0.5628, "IoU.sconce": 0.4134, "IoU.vase": 0.3825, "IoU.traffic light": 0.2809, "IoU.tray": 0.0862, "IoU.ashcan": 0.3526, "IoU.fan": 0.5926, "IoU.pier": 0.4808, "IoU.crt screen": 0.0597, "IoU.plate": 0.5656, "IoU.monitor": 0.101, "IoU.bulletin board": 0.378, "IoU.shower": 0.0249, "IoU.radiator": 0.572, "IoU.glass": 0.1346, "IoU.clock": 0.3877, "IoU.flag": 0.5435, "Acc.wall": 0.8784, "Acc.building": 0.93, "Acc.sky": 0.9717, "Acc.floor": 0.8944, "Acc.tree": 0.8669, "Acc.ceiling": 0.9107, "Acc.road": 0.8854, "Acc.bed ": 0.9518, "Acc.windowpane": 0.7855, "Acc.grass": 0.8185, "Acc.cabinet": 0.7405, "Acc.sidewalk": 0.833, "Acc.person": 0.9181, "Acc.earth": 0.5046, "Acc.door": 0.5506, "Acc.table": 0.752, "Acc.mountain": 0.7039, "Acc.plant": 0.6267, "Acc.curtain": 0.8322, "Acc.chair": 0.684, "Acc.car": 0.8996, "Acc.water": 0.6439, "Acc.painting": 0.8627, "Acc.sofa": 0.7902, "Acc.shelf": 0.5994, "Acc.house": 0.5076, "Acc.sea": 0.7658, "Acc.mirror": 0.7081, "Acc.rug": 0.7575, "Acc.field": 0.475, "Acc.armchair": 0.6149, "Acc.seat": 0.8368, "Acc.fence": 0.5414, "Acc.desk": 0.6598, "Acc.rock": 0.5872, "Acc.wardrobe": 0.6033, "Acc.lamp": 0.742, "Acc.bathtub": 0.8219, "Acc.railing": 0.4951, "Acc.cushion": 0.6667, "Acc.base": 0.3731, "Acc.box": 0.3904, "Acc.column": 0.5527, "Acc.signboard": 0.5215, "Acc.chest of drawers": 0.5745, "Acc.counter": 0.4037, "Acc.sand": 0.6957, "Acc.sink": 0.802, "Acc.skyscraper": 0.5988, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7867, "Acc.grandstand": 0.6141, "Acc.path": 0.4167, "Acc.stairs": 0.3323, "Acc.runway": 0.9393, "Acc.case": 0.619, "Acc.pool table": 0.9648, "Acc.pillow": 0.6651, "Acc.screen door": 0.7435, "Acc.stairway": 0.3663, "Acc.river": 0.2728, "Acc.bridge": 0.8179, "Acc.bookcase": 0.5783, "Acc.blind": NaN, "Acc.coffee table": 0.7656, "Acc.toilet": 0.8771, "Acc.flower": 0.5886, "Acc.book": 0.663, "Acc.hill": 0.1382, "Acc.bench": 0.5499, "Acc.countertop": 0.702, "Acc.stove": 0.8021, "Acc.palm": 0.7049, "Acc.kitchen island": 0.6939, "Acc.computer": 0.7845, "Acc.swivel chair": 0.5784, "Acc.boat": 0.4791, "Acc.bar": 0.4028, "Acc.arcade machine": 0.5595, "Acc.hovel": 0.1869, "Acc.bus": 0.9595, "Acc.towel": 0.8154, "Acc.light": 0.6438, "Acc.truck": 0.2793, "Acc.tower": 0.1057, "Acc.chandelier": 0.834, "Acc.awning": 0.3464, "Acc.streetlight": 0.289, "Acc.booth": 0.6756, "Acc.television receiver": NaN, "Acc.airplane": 0.6472, "Acc.dirt track": 0.1826, "Acc.apparel": 0.4368, "Acc.pole": 0.2506, "Acc.land": 0.0213, "Acc.bannister": 0.1171, "Acc.escalator": 0.3144, "Acc.ottoman": 0.5669, "Acc.bottle": NaN, "Acc.buffet": 0.3638, "Acc.poster": 0.3624, "Acc.stage": 0.2752, "Acc.van": 0.5826, "Acc.ship": 0.9692, "Acc.fountain": 0.3506, "Acc.conveyer belt": 0.8713, "Acc.canopy": 0.2125, "Acc.washer": 0.7462, "Acc.plaything": 0.3788, "Acc.swimming pool": 0.7353, "Acc.stool": 0.5118, "Acc.barrel": 0.7016, "Acc.basket": 0.4506, "Acc.waterfall": 0.6137, "Acc.tent": 0.9813, "Acc.bag": 0.1495, "Acc.minibike": 0.8611, "Acc.cradle": NaN, "Acc.oven": 0.4286, "Acc.ball": 0.4204, "Acc.food": 0.6898, "Acc.step": 0.0885, "Acc.tank": 0.5497, "Acc.trade name": 0.331, "Acc.microwave": 0.7952, "Acc.pot": 0.5537, "Acc.animal": NaN, "Acc.bicycle": 0.7612, "Acc.lake": 0.5515, "Acc.dishwasher": 0.6875, "Acc.screen": 0.9136, "Acc.blanket": 0.1903, "Acc.sculpture": 0.794, "Acc.hood": 0.6603, "Acc.sconce": 0.5014, "Acc.vase": 0.5216, "Acc.traffic light": 0.4055, "Acc.tray": 0.1473, "Acc.ashcan": 0.4677, "Acc.fan": 0.7301, "Acc.pier": 0.7947, "Acc.crt screen": 0.1672, "Acc.plate": 0.7442, "Acc.monitor": 0.1284, "Acc.bulletin board": 0.5253, "Acc.shower": 0.0341, "Acc.radiator": 0.6505, "Acc.glass": 0.1439, "Acc.clock": 0.4815, "Acc.flag": 0.6098} -{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 26851, "data_time": 1.85085, "decode.loss_seg": 0.17432, "decode.acc_seg": 73.59874, "aux.loss_seg": 0.09738, "aux.acc_seg": 71.67572, "loss": 0.27171, "time": 2.57048} -{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.17327, "decode.acc_seg": 75.46306, "aux.loss_seg": 0.09539, "aux.acc_seg": 73.71592, "loss": 0.26866, "time": 0.73321} -{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 26851, "data_time": 0.00777, "decode.loss_seg": 0.17412, "decode.acc_seg": 74.36019, "aux.loss_seg": 0.09528, "aux.acc_seg": 72.59739, "loss": 0.2694, "time": 0.72776} -{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.17122, "decode.acc_seg": 74.22514, "aux.loss_seg": 0.09327, "aux.acc_seg": 72.54269, "loss": 0.2645, "time": 0.72928} -{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.17088, "decode.acc_seg": 75.0286, "aux.loss_seg": 0.09667, "aux.acc_seg": 73.26058, "loss": 0.26755, "time": 0.73182} -{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.17973, "decode.acc_seg": 75.32892, "aux.loss_seg": 0.09872, "aux.acc_seg": 73.5037, "loss": 0.27844, "time": 0.72945} -{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.17617, "decode.acc_seg": 74.04079, "aux.loss_seg": 0.09831, "aux.acc_seg": 72.22324, "loss": 0.27447, "time": 0.72568} -{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 26851, "data_time": 0.00739, "decode.loss_seg": 0.16139, "decode.acc_seg": 75.14277, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.3654, "loss": 0.25159, "time": 0.72758} -{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.16646, "decode.acc_seg": 73.34424, "aux.loss_seg": 0.09182, "aux.acc_seg": 71.62907, "loss": 0.25828, "time": 0.72788} -{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 26851, "data_time": 0.00775, "decode.loss_seg": 0.16584, "decode.acc_seg": 74.59536, "aux.loss_seg": 0.09062, "aux.acc_seg": 72.92654, "loss": 0.25646, "time": 0.73404} -{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.18142, "decode.acc_seg": 74.83643, "aux.loss_seg": 0.09923, "aux.acc_seg": 73.07583, "loss": 0.28064, "time": 0.72877} -{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.18047, "decode.acc_seg": 75.31487, "aux.loss_seg": 0.10021, "aux.acc_seg": 73.47842, "loss": 0.28068, "time": 0.73154} -{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 26851, "data_time": 0.0075, "decode.loss_seg": 0.17513, "decode.acc_seg": 74.34231, "aux.loss_seg": 0.09467, "aux.acc_seg": 72.71016, "loss": 0.26981, "time": 0.72739} -{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 26851, "data_time": 0.00757, "decode.loss_seg": 0.17347, "decode.acc_seg": 75.54126, "aux.loss_seg": 0.09773, "aux.acc_seg": 73.65276, "loss": 0.2712, "time": 0.72407} -{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.17976, "decode.acc_seg": 74.47958, "aux.loss_seg": 0.09846, "aux.acc_seg": 72.68062, "loss": 0.27822, "time": 0.72978} -{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 26851, "data_time": 0.00725, "decode.loss_seg": 0.16511, "decode.acc_seg": 75.51502, "aux.loss_seg": 0.0921, "aux.acc_seg": 73.7164, "loss": 0.25721, "time": 0.72913} -{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 26851, "data_time": 0.00752, "decode.loss_seg": 0.18005, "decode.acc_seg": 74.17264, "aux.loss_seg": 0.09948, "aux.acc_seg": 72.3894, "loss": 0.27952, "time": 0.72871} -{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 26851, "data_time": 0.00743, "decode.loss_seg": 0.17279, "decode.acc_seg": 76.34509, "aux.loss_seg": 0.09299, "aux.acc_seg": 74.78666, "loss": 0.26579, "time": 0.73947} -{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 26851, "data_time": 0.00734, "decode.loss_seg": 0.1797, "decode.acc_seg": 75.38318, "aux.loss_seg": 0.09693, "aux.acc_seg": 73.69141, "loss": 0.27663, "time": 0.7265} -{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 26851, "data_time": 0.00722, "decode.loss_seg": 0.17512, "decode.acc_seg": 76.01525, "aux.loss_seg": 0.09465, "aux.acc_seg": 74.40122, "loss": 0.26977, "time": 0.72368} -{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.17941, "decode.acc_seg": 75.6446, "aux.loss_seg": 0.0986, "aux.acc_seg": 73.88, "loss": 0.27801, "time": 0.72868} -{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.17193, "decode.acc_seg": 74.13983, "aux.loss_seg": 0.09659, "aux.acc_seg": 72.25909, "loss": 0.26852, "time": 0.72804} -{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 26851, "data_time": 0.00761, "decode.loss_seg": 0.16837, "decode.acc_seg": 75.11281, "aux.loss_seg": 0.09455, "aux.acc_seg": 73.26196, "loss": 0.26292, "time": 0.72916} -{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 26851, "data_time": 0.00764, "decode.loss_seg": 0.17196, "decode.acc_seg": 74.25264, "aux.loss_seg": 0.09566, "aux.acc_seg": 72.37291, "loss": 0.26762, "time": 0.72346} -{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 26851, "data_time": 0.24562, "decode.loss_seg": 0.18288, "decode.acc_seg": 75.59479, "aux.loss_seg": 0.09888, "aux.acc_seg": 73.84281, "loss": 0.28176, "time": 0.95936} -{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17765, "decode.acc_seg": 73.68123, "aux.loss_seg": 0.09766, "aux.acc_seg": 71.92331, "loss": 0.2753, "time": 0.73696} -{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.16565, "decode.acc_seg": 74.70191, "aux.loss_seg": 0.09061, "aux.acc_seg": 73.02144, "loss": 0.25626, "time": 0.73304} -{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.17795, "decode.acc_seg": 74.70633, "aux.loss_seg": 0.09696, "aux.acc_seg": 72.96904, "loss": 0.27491, "time": 0.73114} -{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.16893, "decode.acc_seg": 73.93328, "aux.loss_seg": 0.09251, "aux.acc_seg": 72.26701, "loss": 0.26144, "time": 0.732} -{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.17097, "decode.acc_seg": 76.24203, "aux.loss_seg": 0.09479, "aux.acc_seg": 74.42477, "loss": 0.26576, "time": 0.72472} -{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16765, "decode.acc_seg": 73.89735, "aux.loss_seg": 0.09337, "aux.acc_seg": 72.0975, "loss": 0.26102, "time": 0.73152} -{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17762, "decode.acc_seg": 74.04073, "aux.loss_seg": 0.0954, "aux.acc_seg": 72.45707, "loss": 0.27302, "time": 0.72778} -{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.16684, "decode.acc_seg": 75.46478, "aux.loss_seg": 0.09316, "aux.acc_seg": 73.67884, "loss": 0.26, "time": 0.73034} -{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 26851, "data_time": 0.00822, "decode.loss_seg": 0.18056, "decode.acc_seg": 75.37388, "aux.loss_seg": 0.09943, "aux.acc_seg": 73.63149, "loss": 0.27999, "time": 0.7297} -{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.17261, "decode.acc_seg": 73.47485, "aux.loss_seg": 0.09396, "aux.acc_seg": 71.77232, "loss": 0.26658, "time": 0.72629} -{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 26851, "data_time": 0.00756, "decode.loss_seg": 0.16892, "decode.acc_seg": 74.63308, "aux.loss_seg": 0.09362, "aux.acc_seg": 72.77289, "loss": 0.26254, "time": 0.7328} -{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 26851, "data_time": 0.00778, "decode.loss_seg": 0.17056, "decode.acc_seg": 75.11064, "aux.loss_seg": 0.09464, "aux.acc_seg": 73.3374, "loss": 0.26519, "time": 0.72933} -{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.17317, "decode.acc_seg": 75.65675, "aux.loss_seg": 0.09663, "aux.acc_seg": 73.92727, "loss": 0.2698, "time": 0.72679} -{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 26851, "data_time": 0.0086, "decode.loss_seg": 0.1728, "decode.acc_seg": 75.81261, "aux.loss_seg": 0.095, "aux.acc_seg": 74.12175, "loss": 0.2678, "time": 0.72298} -{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17545, "decode.acc_seg": 73.55851, "aux.loss_seg": 0.09491, "aux.acc_seg": 71.92677, "loss": 0.27036, "time": 0.72816} -{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 26851, "data_time": 0.00851, "decode.loss_seg": 0.1737, "decode.acc_seg": 74.80654, "aux.loss_seg": 0.09445, "aux.acc_seg": 73.12666, "loss": 0.26815, "time": 0.72879} -{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17539, "decode.acc_seg": 76.25225, "aux.loss_seg": 0.09691, "aux.acc_seg": 74.37746, "loss": 0.2723, "time": 0.73114} -{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 26851, "data_time": 0.00849, "decode.loss_seg": 0.18434, "decode.acc_seg": 74.38198, "aux.loss_seg": 0.10119, "aux.acc_seg": 72.57634, "loss": 0.28553, "time": 0.73288} -{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 26851, "data_time": 0.00847, "decode.loss_seg": 0.17533, "decode.acc_seg": 75.78661, "aux.loss_seg": 0.09656, "aux.acc_seg": 73.96404, "loss": 0.2719, "time": 0.7376} -{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 26851, "data_time": 0.00866, "decode.loss_seg": 0.16705, "decode.acc_seg": 74.35004, "aux.loss_seg": 0.09277, "aux.acc_seg": 72.50616, "loss": 0.25981, "time": 0.72451} -{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.17576, "decode.acc_seg": 74.68003, "aux.loss_seg": 0.09853, "aux.acc_seg": 72.7105, "loss": 0.2743, "time": 0.72461} -{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.17571, "decode.acc_seg": 77.09153, "aux.loss_seg": 0.09559, "aux.acc_seg": 75.35751, "loss": 0.2713, "time": 0.72758} -{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.17633, "decode.acc_seg": 74.86688, "aux.loss_seg": 0.09736, "aux.acc_seg": 73.14574, "loss": 0.27369, "time": 0.72915} -{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.16901, "decode.acc_seg": 74.08122, "aux.loss_seg": 0.09282, "aux.acc_seg": 72.45203, "loss": 0.26182, "time": 0.73076} -{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.17503, "decode.acc_seg": 76.33766, "aux.loss_seg": 0.09618, "aux.acc_seg": 74.63357, "loss": 0.27122, "time": 0.72925} -{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 26851, "data_time": 0.25006, "decode.loss_seg": 0.18257, "decode.acc_seg": 75.76364, "aux.loss_seg": 0.10065, "aux.acc_seg": 73.88722, "loss": 0.28322, "time": 0.9725} -{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.17292, "decode.acc_seg": 75.27425, "aux.loss_seg": 0.09566, "aux.acc_seg": 73.46506, "loss": 0.26859, "time": 0.73201} -{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 26851, "data_time": 0.00836, "decode.loss_seg": 0.17461, "decode.acc_seg": 74.5542, "aux.loss_seg": 0.09563, "aux.acc_seg": 72.7903, "loss": 0.27025, "time": 0.72925} -{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.17556, "decode.acc_seg": 74.6874, "aux.loss_seg": 0.09771, "aux.acc_seg": 72.91251, "loss": 0.27327, "time": 0.72659} -{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.16779, "decode.acc_seg": 75.40335, "aux.loss_seg": 0.09365, "aux.acc_seg": 73.6411, "loss": 0.26144, "time": 0.7233} -{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 26851, "data_time": 0.00763, "decode.loss_seg": 0.1785, "decode.acc_seg": 73.76383, "aux.loss_seg": 0.09698, "aux.acc_seg": 72.01557, "loss": 0.27547, "time": 0.72906} -{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 26851, "data_time": 0.00772, "decode.loss_seg": 0.16635, "decode.acc_seg": 75.05639, "aux.loss_seg": 0.09331, "aux.acc_seg": 73.32738, "loss": 0.25966, "time": 0.72771} -{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 26851, "data_time": 0.0078, "decode.loss_seg": 0.17214, "decode.acc_seg": 75.27621, "aux.loss_seg": 0.09488, "aux.acc_seg": 73.46284, "loss": 0.26702, "time": 0.73306} -{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.16976, "decode.acc_seg": 73.9805, "aux.loss_seg": 0.09301, "aux.acc_seg": 72.23847, "loss": 0.26277, "time": 0.72985} -{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.17004, "decode.acc_seg": 74.07829, "aux.loss_seg": 0.09422, "aux.acc_seg": 72.31995, "loss": 0.26426, "time": 0.7257} -{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.16466, "decode.acc_seg": 72.67047, "aux.loss_seg": 0.09349, "aux.acc_seg": 70.85124, "loss": 0.25815, "time": 0.72871} -{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 26851, "data_time": 0.00767, "decode.loss_seg": 0.17158, "decode.acc_seg": 74.44367, "aux.loss_seg": 0.09415, "aux.acc_seg": 72.67797, "loss": 0.26573, "time": 0.72932} -{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.17305, "decode.acc_seg": 73.87987, "aux.loss_seg": 0.09406, "aux.acc_seg": 72.1622, "loss": 0.26711, "time": 0.72842} -{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.17642, "decode.acc_seg": 74.9783, "aux.loss_seg": 0.09539, "aux.acc_seg": 73.28924, "loss": 0.27181, "time": 0.72562} -{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 26851, "data_time": 0.00779, "decode.loss_seg": 0.17127, "decode.acc_seg": 76.71593, "aux.loss_seg": 0.0959, "aux.acc_seg": 74.88442, "loss": 0.26717, "time": 0.72936} -{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.18717, "decode.acc_seg": 75.99881, "aux.loss_seg": 0.10252, "aux.acc_seg": 74.12174, "loss": 0.28969, "time": 0.72987} -{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.16689, "decode.acc_seg": 76.07256, "aux.loss_seg": 0.09346, "aux.acc_seg": 74.3045, "loss": 0.26035, "time": 0.73224} -{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 26851, "data_time": 0.00716, "decode.loss_seg": 0.16443, "decode.acc_seg": 76.66628, "aux.loss_seg": 0.09175, "aux.acc_seg": 74.93085, "loss": 0.25617, "time": 0.73112} -{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 26851, "data_time": 0.00754, "decode.loss_seg": 0.16817, "decode.acc_seg": 74.96542, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.21085, "loss": 0.26127, "time": 0.72878} -{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.17646, "decode.acc_seg": 75.62667, "aux.loss_seg": 0.09727, "aux.acc_seg": 73.87211, "loss": 0.27373, "time": 0.72089} -{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.17195, "decode.acc_seg": 74.74684, "aux.loss_seg": 0.09452, "aux.acc_seg": 72.99358, "loss": 0.26647, "time": 0.72583} -{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.18576, "decode.acc_seg": 75.37338, "aux.loss_seg": 0.10179, "aux.acc_seg": 73.47503, "loss": 0.28756, "time": 0.736} -{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 26851, "data_time": 0.00766, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.61326, "aux.loss_seg": 0.09451, "aux.acc_seg": 73.79858, "loss": 0.26414, "time": 0.73708} -{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 26851, "data_time": 0.0074, "decode.loss_seg": 0.16693, "decode.acc_seg": 73.53735, "aux.loss_seg": 0.09209, "aux.acc_seg": 71.84267, "loss": 0.25902, "time": 0.72965} -{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16327, "decode.acc_seg": 75.66554, "aux.loss_seg": 0.08996, "aux.acc_seg": 74.00273, "loss": 0.25323, "time": 0.72313} -{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 26851, "data_time": 0.23024, "decode.loss_seg": 0.17194, "decode.acc_seg": 74.7, "aux.loss_seg": 0.09598, "aux.acc_seg": 72.95477, "loss": 0.26793, "time": 0.9461} -{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.16335, "decode.acc_seg": 75.65851, "aux.loss_seg": 0.09182, "aux.acc_seg": 73.89948, "loss": 0.25516, "time": 0.72456} -{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.16737, "decode.acc_seg": 76.28555, "aux.loss_seg": 0.09211, "aux.acc_seg": 74.50421, "loss": 0.25948, "time": 0.72917} -{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.16818, "decode.acc_seg": 75.0694, "aux.loss_seg": 0.09294, "aux.acc_seg": 73.31394, "loss": 0.26113, "time": 0.72945} -{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 26851, "data_time": 0.00792, "decode.loss_seg": 0.17441, "decode.acc_seg": 74.51021, "aux.loss_seg": 0.09548, "aux.acc_seg": 72.85062, "loss": 0.26989, "time": 0.72833} -{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.18108, "decode.acc_seg": 75.01647, "aux.loss_seg": 0.10061, "aux.acc_seg": 73.14124, "loss": 0.2817, "time": 0.73001} -{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.16316, "decode.acc_seg": 74.02603, "aux.loss_seg": 0.09034, "aux.acc_seg": 72.29193, "loss": 0.25349, "time": 0.73189} -{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.1688, "decode.acc_seg": 75.50164, "aux.loss_seg": 0.09269, "aux.acc_seg": 73.79599, "loss": 0.26149, "time": 0.73199} -{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17547, "decode.acc_seg": 74.76632, "aux.loss_seg": 0.09615, "aux.acc_seg": 73.08099, "loss": 0.27162, "time": 0.72882} -{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.17283, "decode.acc_seg": 74.99645, "aux.loss_seg": 0.09672, "aux.acc_seg": 73.2112, "loss": 0.26955, "time": 0.72654} -{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17158, "decode.acc_seg": 75.56831, "aux.loss_seg": 0.09524, "aux.acc_seg": 73.87607, "loss": 0.26681, "time": 0.72486} -{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.17138, "decode.acc_seg": 74.06331, "aux.loss_seg": 0.09446, "aux.acc_seg": 72.33926, "loss": 0.26584, "time": 0.72865} -{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16662, "decode.acc_seg": 74.3652, "aux.loss_seg": 0.0928, "aux.acc_seg": 72.65019, "loss": 0.25943, "time": 0.73019} -{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 26851, "data_time": 0.00769, "decode.loss_seg": 0.16906, "decode.acc_seg": 75.71643, "aux.loss_seg": 0.09448, "aux.acc_seg": 73.86358, "loss": 0.26353, "time": 0.72789} -{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.17523, "decode.acc_seg": 75.05189, "aux.loss_seg": 0.09614, "aux.acc_seg": 73.3183, "loss": 0.27137, "time": 0.72847} -{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.1703, "decode.acc_seg": 75.30682, "aux.loss_seg": 0.09299, "aux.acc_seg": 73.64872, "loss": 0.26329, "time": 0.72655} -{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 26851, "data_time": 0.0081, "decode.loss_seg": 0.17206, "decode.acc_seg": 75.02987, "aux.loss_seg": 0.09673, "aux.acc_seg": 73.22331, "loss": 0.26879, "time": 0.72602} -{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.17823, "decode.acc_seg": 75.12669, "aux.loss_seg": 0.09928, "aux.acc_seg": 73.25583, "loss": 0.27751, "time": 0.7326} -{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.16964, "decode.acc_seg": 75.36828, "aux.loss_seg": 0.09435, "aux.acc_seg": 73.58166, "loss": 0.26399, "time": 0.73369} -{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 26851, "data_time": 0.0077, "decode.loss_seg": 0.16791, "decode.acc_seg": 75.3023, "aux.loss_seg": 0.09211, "aux.acc_seg": 73.66465, "loss": 0.26002, "time": 0.72884} -{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.17581, "decode.acc_seg": 75.71968, "aux.loss_seg": 0.09945, "aux.acc_seg": 73.72606, "loss": 0.27525, "time": 0.72572} -{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.17181, "decode.acc_seg": 75.39175, "aux.loss_seg": 0.09606, "aux.acc_seg": 73.59768, "loss": 0.26787, "time": 0.72281} -{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.179, "decode.acc_seg": 74.69878, "aux.loss_seg": 0.09872, "aux.acc_seg": 72.81688, "loss": 0.27773, "time": 0.73215} -{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.1681, "decode.acc_seg": 74.59781, "aux.loss_seg": 0.09322, "aux.acc_seg": 72.86009, "loss": 0.26132, "time": 0.73507} -{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.17117, "decode.acc_seg": 76.86432, "aux.loss_seg": 0.09551, "aux.acc_seg": 75.00197, "loss": 0.26667, "time": 0.72893} -{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 26851, "data_time": 0.24497, "decode.loss_seg": 0.17325, "decode.acc_seg": 74.3313, "aux.loss_seg": 0.09528, "aux.acc_seg": 72.56166, "loss": 0.26853, "time": 0.96648} -{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17271, "decode.acc_seg": 75.74975, "aux.loss_seg": 0.09693, "aux.acc_seg": 73.9348, "loss": 0.26964, "time": 0.7332} -{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 26851, "data_time": 0.00758, "decode.loss_seg": 0.17019, "decode.acc_seg": 74.93721, "aux.loss_seg": 0.095, "aux.acc_seg": 73.13741, "loss": 0.26519, "time": 0.72899} -{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17299, "decode.acc_seg": 75.2356, "aux.loss_seg": 0.0968, "aux.acc_seg": 73.32088, "loss": 0.26979, "time": 0.72874} -{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.16472, "decode.acc_seg": 75.03283, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.34577, "loss": 0.25512, "time": 0.72678} -{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.17121, "decode.acc_seg": 73.58037, "aux.loss_seg": 0.09421, "aux.acc_seg": 71.79753, "loss": 0.26542, "time": 0.72194} -{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.16896, "decode.acc_seg": 75.7969, "aux.loss_seg": 0.09375, "aux.acc_seg": 74.04549, "loss": 0.26271, "time": 0.72707} -{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.17309, "decode.acc_seg": 74.56671, "aux.loss_seg": 0.09669, "aux.acc_seg": 72.79093, "loss": 0.26977, "time": 0.72687} -{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.18005, "decode.acc_seg": 75.35673, "aux.loss_seg": 0.09837, "aux.acc_seg": 73.59111, "loss": 0.27842, "time": 0.72999} -{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17154, "decode.acc_seg": 75.40384, "aux.loss_seg": 0.09522, "aux.acc_seg": 73.5446, "loss": 0.26676, "time": 0.72766} -{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.1758, "decode.acc_seg": 74.88329, "aux.loss_seg": 0.09636, "aux.acc_seg": 73.07412, "loss": 0.27215, "time": 0.72544} -{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 26851, "data_time": 0.00796, "decode.loss_seg": 0.17295, "decode.acc_seg": 76.541, "aux.loss_seg": 0.09606, "aux.acc_seg": 74.66741, "loss": 0.26901, "time": 0.72885} -{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 26851, "data_time": 0.00776, "decode.loss_seg": 0.1822, "decode.acc_seg": 74.62698, "aux.loss_seg": 0.10059, "aux.acc_seg": 72.68471, "loss": 0.28279, "time": 0.728} -{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.17373, "decode.acc_seg": 74.75087, "aux.loss_seg": 0.0962, "aux.acc_seg": 72.92069, "loss": 0.26993, "time": 0.7278} -{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16047, "decode.acc_seg": 74.37624, "aux.loss_seg": 0.08918, "aux.acc_seg": 72.63145, "loss": 0.24964, "time": 0.72409} -{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.16959, "decode.acc_seg": 74.72272, "aux.loss_seg": 0.09467, "aux.acc_seg": 72.82788, "loss": 0.26426, "time": 0.72974} -{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 26851, "data_time": 0.00806, "decode.loss_seg": 0.17429, "decode.acc_seg": 75.58205, "aux.loss_seg": 0.09643, "aux.acc_seg": 73.80596, "loss": 0.27072, "time": 0.72371} -{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 26851, "data_time": 0.00789, "decode.loss_seg": 0.1705, "decode.acc_seg": 75.14466, "aux.loss_seg": 0.09469, "aux.acc_seg": 73.26822, "loss": 0.26518, "time": 0.72891} -{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.16679, "decode.acc_seg": 74.73005, "aux.loss_seg": 0.09024, "aux.acc_seg": 73.12515, "loss": 0.25703, "time": 0.72659} -{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.17608, "decode.acc_seg": 76.15949, "aux.loss_seg": 0.09813, "aux.acc_seg": 74.29755, "loss": 0.27421, "time": 0.73001} -{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.16903, "decode.acc_seg": 75.2622, "aux.loss_seg": 0.09551, "aux.acc_seg": 73.46237, "loss": 0.26454, "time": 0.72682} -{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.16463, "decode.acc_seg": 73.91016, "aux.loss_seg": 0.0911, "aux.acc_seg": 72.14626, "loss": 0.25573, "time": 0.72852} -{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.16358, "decode.acc_seg": 73.51928, "aux.loss_seg": 0.0911, "aux.acc_seg": 71.71522, "loss": 0.25468, "time": 0.73576} -{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 26851, "data_time": 0.00783, "decode.loss_seg": 0.16504, "decode.acc_seg": 75.59375, "aux.loss_seg": 0.09088, "aux.acc_seg": 73.89862, "loss": 0.25591, "time": 0.73525} -{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 26851, "data_time": 0.00782, "decode.loss_seg": 0.16519, "decode.acc_seg": 76.39928, "aux.loss_seg": 0.09239, "aux.acc_seg": 74.61995, "loss": 0.25758, "time": 0.73033} -{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 26851, "data_time": 0.2416, "decode.loss_seg": 0.17222, "decode.acc_seg": 75.74417, "aux.loss_seg": 0.09297, "aux.acc_seg": 74.03574, "loss": 0.26519, "time": 0.9633} -{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 26851, "data_time": 0.00774, "decode.loss_seg": 0.16483, "decode.acc_seg": 75.06662, "aux.loss_seg": 0.08974, "aux.acc_seg": 73.4606, "loss": 0.25457, "time": 0.72454} -{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.16787, "decode.acc_seg": 75.38903, "aux.loss_seg": 0.09526, "aux.acc_seg": 73.50916, "loss": 0.26313, "time": 0.72511} -{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.17341, "decode.acc_seg": 74.75997, "aux.loss_seg": 0.09543, "aux.acc_seg": 73.05877, "loss": 0.26883, "time": 0.73542} -{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.17386, "decode.acc_seg": 74.15525, "aux.loss_seg": 0.0984, "aux.acc_seg": 72.2121, "loss": 0.27226, "time": 0.74005} -{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 26851, "data_time": 0.00793, "decode.loss_seg": 0.16869, "decode.acc_seg": 75.63742, "aux.loss_seg": 0.09288, "aux.acc_seg": 73.85644, "loss": 0.26157, "time": 0.72461} -{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17291, "decode.acc_seg": 74.543, "aux.loss_seg": 0.09517, "aux.acc_seg": 72.76246, "loss": 0.26809, "time": 0.72591} -{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 26851, "data_time": 0.00791, "decode.loss_seg": 0.17699, "decode.acc_seg": 74.48839, "aux.loss_seg": 0.09654, "aux.acc_seg": 72.79359, "loss": 0.27353, "time": 0.72686} -{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.1661, "decode.acc_seg": 74.33215, "aux.loss_seg": 0.09181, "aux.acc_seg": 72.64143, "loss": 0.2579, "time": 0.72714} -{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.16964, "decode.acc_seg": 73.55313, "aux.loss_seg": 0.09344, "aux.acc_seg": 71.83676, "loss": 0.26308, "time": 0.73444} -{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.18002, "decode.acc_seg": 75.728, "aux.loss_seg": 0.09584, "aux.acc_seg": 74.01645, "loss": 0.27587, "time": 0.73082} -{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 26851, "data_time": 0.00818, "decode.loss_seg": 0.17379, "decode.acc_seg": 76.59022, "aux.loss_seg": 0.09851, "aux.acc_seg": 74.62647, "loss": 0.2723, "time": 0.73178} -{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.16583, "decode.acc_seg": 75.86287, "aux.loss_seg": 0.09069, "aux.acc_seg": 74.25252, "loss": 0.25653, "time": 0.73693} -{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17754, "decode.acc_seg": 75.98049, "aux.loss_seg": 0.09618, "aux.acc_seg": 74.26075, "loss": 0.27373, "time": 0.72669} -{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.18418, "decode.acc_seg": 74.58609, "aux.loss_seg": 0.09957, "aux.acc_seg": 72.85577, "loss": 0.28374, "time": 0.72771} -{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 26851, "data_time": 0.00808, "decode.loss_seg": 0.16932, "decode.acc_seg": 73.77332, "aux.loss_seg": 0.09411, "aux.acc_seg": 72.04153, "loss": 0.26343, "time": 0.7334} -{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 26851, "data_time": 0.00788, "decode.loss_seg": 0.16595, "decode.acc_seg": 74.0381, "aux.loss_seg": 0.09257, "aux.acc_seg": 72.30222, "loss": 0.25852, "time": 0.74078} -{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 26851, "data_time": 0.00786, "decode.loss_seg": 0.16649, "decode.acc_seg": 74.77465, "aux.loss_seg": 0.09142, "aux.acc_seg": 73.06808, "loss": 0.25791, "time": 0.73037} -{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 26851, "data_time": 0.0079, "decode.loss_seg": 0.16327, "decode.acc_seg": 74.10468, "aux.loss_seg": 0.09125, "aux.acc_seg": 72.3612, "loss": 0.25453, "time": 0.72581} -{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.17171, "decode.acc_seg": 75.58895, "aux.loss_seg": 0.0964, "aux.acc_seg": 73.7437, "loss": 0.26811, "time": 0.72637} -{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.16822, "decode.acc_seg": 76.65605, "aux.loss_seg": 0.09414, "aux.acc_seg": 74.86861, "loss": 0.26236, "time": 0.72306} -{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17782, "decode.acc_seg": 75.06085, "aux.loss_seg": 0.09985, "aux.acc_seg": 73.07589, "loss": 0.27767, "time": 0.73334} -{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.16869, "decode.acc_seg": 74.41857, "aux.loss_seg": 0.09237, "aux.acc_seg": 72.70391, "loss": 0.26106, "time": 0.73266} -{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.16984, "decode.acc_seg": 74.93516, "aux.loss_seg": 0.09576, "aux.acc_seg": 73.07256, "loss": 0.2656, "time": 0.72546} -{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 26851, "data_time": 0.00794, "decode.loss_seg": 0.16537, "decode.acc_seg": 75.77736, "aux.loss_seg": 0.09067, "aux.acc_seg": 74.08007, "loss": 0.25603, "time": 0.72505} -{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 26851, "data_time": 0.00807, "decode.loss_seg": 0.17074, "decode.acc_seg": 75.43068, "aux.loss_seg": 0.09581, "aux.acc_seg": 73.62648, "loss": 0.26655, "time": 0.72965} -{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 26851, "data_time": 0.2465, "decode.loss_seg": 0.1817, "decode.acc_seg": 74.50763, "aux.loss_seg": 0.0996, "aux.acc_seg": 72.68901, "loss": 0.2813, "time": 0.96639} -{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.17124, "decode.acc_seg": 74.82986, "aux.loss_seg": 0.09487, "aux.acc_seg": 73.03299, "loss": 0.26611, "time": 0.73054} -{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.16223, "decode.acc_seg": 73.9851, "aux.loss_seg": 0.08966, "aux.acc_seg": 72.35862, "loss": 0.2519, "time": 0.73645} -{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.16491, "decode.acc_seg": 75.26401, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.49766, "loss": 0.25801, "time": 0.73579} -{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 26851, "data_time": 0.00901, "decode.loss_seg": 0.17344, "decode.acc_seg": 74.80204, "aux.loss_seg": 0.09581, "aux.acc_seg": 73.1286, "loss": 0.26925, "time": 0.73413} -{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 26851, "data_time": 0.00879, "decode.loss_seg": 0.17113, "decode.acc_seg": 75.52535, "aux.loss_seg": 0.09656, "aux.acc_seg": 73.69119, "loss": 0.26769, "time": 0.72829} -{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.16864, "decode.acc_seg": 76.53924, "aux.loss_seg": 0.0939, "aux.acc_seg": 74.71358, "loss": 0.26254, "time": 0.73352} -{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.17418, "decode.acc_seg": 76.18764, "aux.loss_seg": 0.09682, "aux.acc_seg": 74.33662, "loss": 0.27101, "time": 0.72295} -{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.17319, "decode.acc_seg": 75.53696, "aux.loss_seg": 0.09644, "aux.acc_seg": 73.68863, "loss": 0.26963, "time": 0.72495} -{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 26851, "data_time": 0.00862, "decode.loss_seg": 0.17591, "decode.acc_seg": 74.76437, "aux.loss_seg": 0.09537, "aux.acc_seg": 73.07638, "loss": 0.27127, "time": 0.72802} -{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17422, "decode.acc_seg": 74.8436, "aux.loss_seg": 0.09554, "aux.acc_seg": 73.10845, "loss": 0.26976, "time": 0.72802} -{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 26851, "data_time": 0.00785, "decode.loss_seg": 0.17381, "decode.acc_seg": 74.90446, "aux.loss_seg": 0.09453, "aux.acc_seg": 73.21452, "loss": 0.26834, "time": 0.72706} -{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.17025, "decode.acc_seg": 76.2954, "aux.loss_seg": 0.09508, "aux.acc_seg": 74.48715, "loss": 0.26533, "time": 0.72642} -{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 26851, "data_time": 0.00802, "decode.loss_seg": 0.1866, "decode.acc_seg": 74.60502, "aux.loss_seg": 0.10128, "aux.acc_seg": 72.7929, "loss": 0.28788, "time": 0.72356} -{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.16757, "decode.acc_seg": 75.91407, "aux.loss_seg": 0.09178, "aux.acc_seg": 74.24496, "loss": 0.25935, "time": 0.72858} -{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.16892, "decode.acc_seg": 75.92685, "aux.loss_seg": 0.09384, "aux.acc_seg": 74.10929, "loss": 0.26276, "time": 0.72771} -{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17106, "decode.acc_seg": 73.22582, "aux.loss_seg": 0.09524, "aux.acc_seg": 71.50957, "loss": 0.2663, "time": 0.72948} -{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.16584, "decode.acc_seg": 74.82287, "aux.loss_seg": 0.09273, "aux.acc_seg": 72.95916, "loss": 0.25858, "time": 0.7292} -{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 26851, "data_time": 0.00784, "decode.loss_seg": 0.16414, "decode.acc_seg": 74.66026, "aux.loss_seg": 0.0916, "aux.acc_seg": 72.98725, "loss": 0.25574, "time": 0.72652} -{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.16365, "decode.acc_seg": 75.32048, "aux.loss_seg": 0.09173, "aux.acc_seg": 73.55979, "loss": 0.25538, "time": 0.73334} -{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 26851, "data_time": 0.00805, "decode.loss_seg": 0.16693, "decode.acc_seg": 73.21706, "aux.loss_seg": 0.09255, "aux.acc_seg": 71.48755, "loss": 0.25948, "time": 0.72924} -{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 26851, "data_time": 0.00811, "decode.loss_seg": 0.16545, "decode.acc_seg": 75.15644, "aux.loss_seg": 0.0924, "aux.acc_seg": 73.34341, "loss": 0.25785, "time": 0.73189} -{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 26851, "data_time": 0.00797, "decode.loss_seg": 0.16721, "decode.acc_seg": 74.24269, "aux.loss_seg": 0.09363, "aux.acc_seg": 72.47818, "loss": 0.26084, "time": 0.7339} -{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.16317, "decode.acc_seg": 74.88199, "aux.loss_seg": 0.0898, "aux.acc_seg": 73.23972, "loss": 0.25297, "time": 0.72534} -{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.17296, "decode.acc_seg": 75.56785, "aux.loss_seg": 0.09577, "aux.acc_seg": 73.8373, "loss": 0.26873, "time": 0.72455} -{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 26851, "data_time": 0.25516, "decode.loss_seg": 0.16932, "decode.acc_seg": 75.99983, "aux.loss_seg": 0.09361, "aux.acc_seg": 74.26367, "loss": 0.26293, "time": 0.97466} -{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 26851, "data_time": 0.00832, "decode.loss_seg": 0.17368, "decode.acc_seg": 75.29552, "aux.loss_seg": 0.09575, "aux.acc_seg": 73.55256, "loss": 0.26943, "time": 0.73435} -{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17578, "decode.acc_seg": 74.25257, "aux.loss_seg": 0.09803, "aux.acc_seg": 72.4232, "loss": 0.27381, "time": 0.73282} -{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.15942, "decode.acc_seg": 74.96491, "aux.loss_seg": 0.08978, "aux.acc_seg": 73.15852, "loss": 0.24919, "time": 0.73353} -{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.16844, "decode.acc_seg": 75.87479, "aux.loss_seg": 0.0961, "aux.acc_seg": 73.95069, "loss": 0.26454, "time": 0.73876} -{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 26851, "data_time": 0.00829, "decode.loss_seg": 0.15986, "decode.acc_seg": 75.72737, "aux.loss_seg": 0.08998, "aux.acc_seg": 74.02244, "loss": 0.24984, "time": 0.72831} -{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.16769, "decode.acc_seg": 76.23191, "aux.loss_seg": 0.09348, "aux.acc_seg": 74.37967, "loss": 0.26117, "time": 0.72583} -{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 26851, "data_time": 0.00762, "decode.loss_seg": 0.17174, "decode.acc_seg": 75.09037, "aux.loss_seg": 0.09436, "aux.acc_seg": 73.33929, "loss": 0.26609, "time": 0.72836} -{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 26851, "data_time": 0.00733, "decode.loss_seg": 0.17345, "decode.acc_seg": 76.25846, "aux.loss_seg": 0.09712, "aux.acc_seg": 74.41166, "loss": 0.27057, "time": 0.72839} -{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 26851, "data_time": 0.00817, "decode.loss_seg": 0.17191, "decode.acc_seg": 75.84328, "aux.loss_seg": 0.09648, "aux.acc_seg": 73.99763, "loss": 0.26839, "time": 0.73471} -{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.1763, "decode.acc_seg": 74.10369, "aux.loss_seg": 0.0981, "aux.acc_seg": 72.35239, "loss": 0.2744, "time": 0.73201} -{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 26851, "data_time": 0.00809, "decode.loss_seg": 0.16776, "decode.acc_seg": 75.37624, "aux.loss_seg": 0.09421, "aux.acc_seg": 73.47038, "loss": 0.26197, "time": 0.73172} -{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 26851, "data_time": 0.00825, "decode.loss_seg": 0.1684, "decode.acc_seg": 74.07425, "aux.loss_seg": 0.09434, "aux.acc_seg": 72.21225, "loss": 0.26274, "time": 0.73387} -{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 26851, "data_time": 0.00795, "decode.loss_seg": 0.18164, "decode.acc_seg": 74.93327, "aux.loss_seg": 0.09994, "aux.acc_seg": 73.12702, "loss": 0.28158, "time": 0.73074} -{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 26851, "data_time": 0.00804, "decode.loss_seg": 0.16764, "decode.acc_seg": 75.78224, "aux.loss_seg": 0.09339, "aux.acc_seg": 73.99906, "loss": 0.26103, "time": 0.7302} -{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.16983, "decode.acc_seg": 75.19725, "aux.loss_seg": 0.09383, "aux.acc_seg": 73.48508, "loss": 0.26366, "time": 0.73409} -{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.17035, "decode.acc_seg": 75.6962, "aux.loss_seg": 0.09366, "aux.acc_seg": 73.9216, "loss": 0.26401, "time": 0.73235} -{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 26851, "data_time": 0.00854, "decode.loss_seg": 0.16618, "decode.acc_seg": 73.78198, "aux.loss_seg": 0.09171, "aux.acc_seg": 72.13499, "loss": 0.25789, "time": 0.73178} -{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 26851, "data_time": 0.00957, "decode.loss_seg": 0.16839, "decode.acc_seg": 74.0902, "aux.loss_seg": 0.09178, "aux.acc_seg": 72.39018, "loss": 0.26017, "time": 0.72916} -{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.17375, "decode.acc_seg": 74.35802, "aux.loss_seg": 0.09599, "aux.acc_seg": 72.56299, "loss": 0.26974, "time": 0.73169} -{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 26851, "data_time": 0.00951, "decode.loss_seg": 0.1683, "decode.acc_seg": 74.15408, "aux.loss_seg": 0.09248, "aux.acc_seg": 72.51051, "loss": 0.26079, "time": 0.73247} -{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 26851, "data_time": 0.00885, "decode.loss_seg": 0.17442, "decode.acc_seg": 73.88414, "aux.loss_seg": 0.09624, "aux.acc_seg": 72.07608, "loss": 0.27066, "time": 0.73579} -{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 26851, "data_time": 0.00877, "decode.loss_seg": 0.168, "decode.acc_seg": 74.86398, "aux.loss_seg": 0.09144, "aux.acc_seg": 73.18269, "loss": 0.25944, "time": 0.73126} -{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 26851, "data_time": 0.00906, "decode.loss_seg": 0.16818, "decode.acc_seg": 75.36289, "aux.loss_seg": 0.09389, "aux.acc_seg": 73.60729, "loss": 0.26206, "time": 0.72923} -{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.17082, "decode.acc_seg": 75.2112, "aux.loss_seg": 0.09434, "aux.acc_seg": 73.39899, "loss": 0.26516, "time": 0.73131} -{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 26851, "data_time": 0.24508, "decode.loss_seg": 0.17365, "decode.acc_seg": 75.6445, "aux.loss_seg": 0.09597, "aux.acc_seg": 73.85846, "loss": 0.26962, "time": 0.96829} -{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.16061, "decode.acc_seg": 74.7114, "aux.loss_seg": 0.09047, "aux.acc_seg": 72.94125, "loss": 0.25108, "time": 0.73313} -{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.17063, "decode.acc_seg": 74.58634, "aux.loss_seg": 0.09377, "aux.acc_seg": 72.83697, "loss": 0.26441, "time": 0.73374} -{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.16897, "decode.acc_seg": 74.89917, "aux.loss_seg": 0.09417, "aux.acc_seg": 73.15638, "loss": 0.26314, "time": 0.7333} -{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16207, "decode.acc_seg": 74.70167, "aux.loss_seg": 0.09043, "aux.acc_seg": 72.98945, "loss": 0.25251, "time": 0.7318} -{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.17177, "decode.acc_seg": 73.99046, "aux.loss_seg": 0.09415, "aux.acc_seg": 72.3138, "loss": 0.26592, "time": 0.73396} -{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.17253, "decode.acc_seg": 73.68493, "aux.loss_seg": 0.0964, "aux.acc_seg": 71.76034, "loss": 0.26893, "time": 0.73642} -{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 26851, "data_time": 0.00896, "decode.loss_seg": 0.1624, "decode.acc_seg": 75.20224, "aux.loss_seg": 0.0905, "aux.acc_seg": 73.39123, "loss": 0.2529, "time": 0.73283} -{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.16822, "decode.acc_seg": 74.51586, "aux.loss_seg": 0.09331, "aux.acc_seg": 72.67632, "loss": 0.26153, "time": 0.7301} -{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.17145, "decode.acc_seg": 75.12292, "aux.loss_seg": 0.09343, "aux.acc_seg": 73.48824, "loss": 0.26488, "time": 0.72719} -{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 26851, "data_time": 0.00813, "decode.loss_seg": 0.16844, "decode.acc_seg": 74.26036, "aux.loss_seg": 0.09474, "aux.acc_seg": 72.38716, "loss": 0.26318, "time": 0.73066} -{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 26851, "data_time": 0.00871, "decode.loss_seg": 0.16544, "decode.acc_seg": 76.74928, "aux.loss_seg": 0.09133, "aux.acc_seg": 74.96386, "loss": 0.25677, "time": 0.73392} -{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.16896, "decode.acc_seg": 74.58809, "aux.loss_seg": 0.09424, "aux.acc_seg": 72.7911, "loss": 0.26321, "time": 0.73079} -{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17045, "decode.acc_seg": 76.06159, "aux.loss_seg": 0.09576, "aux.acc_seg": 74.15432, "loss": 0.26622, "time": 0.73108} -{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.16644, "decode.acc_seg": 75.50891, "aux.loss_seg": 0.09207, "aux.acc_seg": 73.82976, "loss": 0.25851, "time": 0.73142} -{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 26851, "data_time": 0.00867, "decode.loss_seg": 0.17522, "decode.acc_seg": 74.9168, "aux.loss_seg": 0.09655, "aux.acc_seg": 73.24017, "loss": 0.27177, "time": 0.73201} -{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 26851, "data_time": 0.00902, "decode.loss_seg": 0.17321, "decode.acc_seg": 75.19001, "aux.loss_seg": 0.09692, "aux.acc_seg": 73.27901, "loss": 0.27013, "time": 0.72691} -{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.17082, "decode.acc_seg": 75.04978, "aux.loss_seg": 0.09652, "aux.acc_seg": 73.0886, "loss": 0.26734, "time": 0.72775} -{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17822, "decode.acc_seg": 74.02325, "aux.loss_seg": 0.09871, "aux.acc_seg": 72.10937, "loss": 0.27693, "time": 0.73304} -{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 26851, "data_time": 0.00874, "decode.loss_seg": 0.16617, "decode.acc_seg": 76.27912, "aux.loss_seg": 0.09294, "aux.acc_seg": 74.58125, "loss": 0.25911, "time": 0.73261} -{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 26851, "data_time": 0.008, "decode.loss_seg": 0.16763, "decode.acc_seg": 74.42927, "aux.loss_seg": 0.09414, "aux.acc_seg": 72.59804, "loss": 0.26177, "time": 0.73292} -{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 26851, "data_time": 0.00826, "decode.loss_seg": 0.16535, "decode.acc_seg": 74.54045, "aux.loss_seg": 0.09195, "aux.acc_seg": 72.72182, "loss": 0.25731, "time": 0.73014} -{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 26851, "data_time": 0.00821, "decode.loss_seg": 0.17455, "decode.acc_seg": 74.92426, "aux.loss_seg": 0.09536, "aux.acc_seg": 73.20673, "loss": 0.26991, "time": 0.73018} -{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.16448, "decode.acc_seg": 75.10911, "aux.loss_seg": 0.09343, "aux.acc_seg": 73.31433, "loss": 0.25792, "time": 0.73523} -{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 26851, "data_time": 0.00905, "decode.loss_seg": 0.17176, "decode.acc_seg": 76.24535, "aux.loss_seg": 0.09621, "aux.acc_seg": 74.36001, "loss": 0.26797, "time": 0.73316} -{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 26851, "data_time": 0.25204, "decode.loss_seg": 0.16059, "decode.acc_seg": 75.57445, "aux.loss_seg": 0.09026, "aux.acc_seg": 73.80548, "loss": 0.25084, "time": 0.97426} -{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 26851, "data_time": 0.00882, "decode.loss_seg": 0.1772, "decode.acc_seg": 74.8432, "aux.loss_seg": 0.09745, "aux.acc_seg": 73.0324, "loss": 0.27464, "time": 0.73} -{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 26851, "data_time": 0.00814, "decode.loss_seg": 0.17044, "decode.acc_seg": 75.0411, "aux.loss_seg": 0.09363, "aux.acc_seg": 73.37361, "loss": 0.26407, "time": 0.73141} -{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.16245, "decode.acc_seg": 73.64842, "aux.loss_seg": 0.09198, "aux.acc_seg": 71.82144, "loss": 0.25444, "time": 0.7262} -{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 26851, "data_time": 0.00823, "decode.loss_seg": 0.17026, "decode.acc_seg": 74.17081, "aux.loss_seg": 0.09501, "aux.acc_seg": 72.39967, "loss": 0.26527, "time": 0.72865} -{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.16948, "decode.acc_seg": 74.67308, "aux.loss_seg": 0.09403, "aux.acc_seg": 72.92727, "loss": 0.26351, "time": 0.73095} -{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16342, "decode.acc_seg": 75.66367, "aux.loss_seg": 0.09267, "aux.acc_seg": 73.80886, "loss": 0.25609, "time": 0.7418} -{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 26851, "data_time": 0.00828, "decode.loss_seg": 0.15881, "decode.acc_seg": 75.8284, "aux.loss_seg": 0.08779, "aux.acc_seg": 74.10276, "loss": 0.2466, "time": 0.7314} -{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 26851, "data_time": 0.0083, "decode.loss_seg": 0.16828, "decode.acc_seg": 75.50554, "aux.loss_seg": 0.09219, "aux.acc_seg": 73.86959, "loss": 0.26048, "time": 0.72853} -{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.17338, "decode.acc_seg": 76.09876, "aux.loss_seg": 0.09382, "aux.acc_seg": 74.50173, "loss": 0.26721, "time": 0.72493} -{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.1563, "decode.acc_seg": 73.62831, "aux.loss_seg": 0.08656, "aux.acc_seg": 71.9896, "loss": 0.24286, "time": 0.72986} -{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.17956, "decode.acc_seg": 75.60437, "aux.loss_seg": 0.09721, "aux.acc_seg": 73.9027, "loss": 0.27677, "time": 0.73168} -{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 26851, "data_time": 0.0084, "decode.loss_seg": 0.17144, "decode.acc_seg": 75.28964, "aux.loss_seg": 0.09526, "aux.acc_seg": 73.51415, "loss": 0.2667, "time": 0.73665} -{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 26851, "data_time": 0.00801, "decode.loss_seg": 0.1739, "decode.acc_seg": 75.29452, "aux.loss_seg": 0.09631, "aux.acc_seg": 73.52807, "loss": 0.27021, "time": 0.72916} -{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 26851, "data_time": 0.00799, "decode.loss_seg": 0.17003, "decode.acc_seg": 74.64755, "aux.loss_seg": 0.09706, "aux.acc_seg": 72.74133, "loss": 0.26708, "time": 0.73024} -{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 26851, "data_time": 0.00819, "decode.loss_seg": 0.1669, "decode.acc_seg": 75.39432, "aux.loss_seg": 0.09292, "aux.acc_seg": 73.59328, "loss": 0.25981, "time": 0.72968} -{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17135, "decode.acc_seg": 73.92543, "aux.loss_seg": 0.09419, "aux.acc_seg": 72.17979, "loss": 0.26554, "time": 0.73123} -{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.16433, "decode.acc_seg": 73.94852, "aux.loss_seg": 0.09141, "aux.acc_seg": 72.21323, "loss": 0.25573, "time": 0.73348} -{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17329, "decode.acc_seg": 75.95392, "aux.loss_seg": 0.09711, "aux.acc_seg": 74.14834, "loss": 0.2704, "time": 0.72902} -{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16396, "decode.acc_seg": 75.0444, "aux.loss_seg": 0.09084, "aux.acc_seg": 73.3395, "loss": 0.2548, "time": 0.72549} -{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 26851, "data_time": 0.00835, "decode.loss_seg": 0.16622, "decode.acc_seg": 74.94784, "aux.loss_seg": 0.09196, "aux.acc_seg": 73.19268, "loss": 0.25817, "time": 0.73105} -{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 26851, "data_time": 0.00798, "decode.loss_seg": 0.17378, "decode.acc_seg": 75.84394, "aux.loss_seg": 0.0971, "aux.acc_seg": 73.95697, "loss": 0.27088, "time": 0.73007} -{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 26851, "data_time": 0.0082, "decode.loss_seg": 0.16656, "decode.acc_seg": 75.90646, "aux.loss_seg": 0.09124, "aux.acc_seg": 74.21366, "loss": 0.2578, "time": 0.73054} -{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 26851, "data_time": 0.00875, "decode.loss_seg": 0.17174, "decode.acc_seg": 76.03448, "aux.loss_seg": 0.09477, "aux.acc_seg": 74.26412, "loss": 0.2665, "time": 0.72705} -{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.16213, "decode.acc_seg": 74.9236, "aux.loss_seg": 0.08996, "aux.acc_seg": 73.21334, "loss": 0.25209, "time": 0.72862} -{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 26851, "data_time": 0.00859, "decode.loss_seg": 0.17444, "decode.acc_seg": 75.51484, "aux.loss_seg": 0.09342, "aux.acc_seg": 73.80965, "loss": 0.26786, "time": 0.72801} -{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 26851, "data_time": 0.25146, "decode.loss_seg": 0.16334, "decode.acc_seg": 74.83449, "aux.loss_seg": 0.0903, "aux.acc_seg": 73.17876, "loss": 0.25364, "time": 0.97681} -{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.16316, "decode.acc_seg": 75.63697, "aux.loss_seg": 0.09092, "aux.acc_seg": 73.87371, "loss": 0.25408, "time": 0.73006} -{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 26851, "data_time": 0.00963, "decode.loss_seg": 0.16341, "decode.acc_seg": 74.40901, "aux.loss_seg": 0.09029, "aux.acc_seg": 72.66106, "loss": 0.2537, "time": 0.73633} -{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 26851, "data_time": 0.00838, "decode.loss_seg": 0.17306, "decode.acc_seg": 74.76033, "aux.loss_seg": 0.09456, "aux.acc_seg": 73.06845, "loss": 0.26762, "time": 0.73272} -{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 26851, "data_time": 0.00833, "decode.loss_seg": 0.1689, "decode.acc_seg": 75.32229, "aux.loss_seg": 0.09321, "aux.acc_seg": 73.53373, "loss": 0.26211, "time": 0.7319} -{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 26851, "data_time": 0.00816, "decode.loss_seg": 0.16511, "decode.acc_seg": 75.86857, "aux.loss_seg": 0.09385, "aux.acc_seg": 74.05193, "loss": 0.25896, "time": 0.73289} -{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 26851, "data_time": 0.00845, "decode.loss_seg": 0.1664, "decode.acc_seg": 74.9349, "aux.loss_seg": 0.09321, "aux.acc_seg": 73.07457, "loss": 0.2596, "time": 0.73273} -{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.16215, "decode.acc_seg": 73.56541, "aux.loss_seg": 0.091, "aux.acc_seg": 71.86168, "loss": 0.25315, "time": 0.7318} -{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16633, "decode.acc_seg": 74.45515, "aux.loss_seg": 0.09159, "aux.acc_seg": 72.76615, "loss": 0.25792, "time": 0.73727} -{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.16531, "decode.acc_seg": 75.96646, "aux.loss_seg": 0.09155, "aux.acc_seg": 74.22726, "loss": 0.25686, "time": 0.7347} -{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 26851, "data_time": 0.00855, "decode.loss_seg": 0.16754, "decode.acc_seg": 75.33144, "aux.loss_seg": 0.09215, "aux.acc_seg": 73.62058, "loss": 0.25969, "time": 0.7258} -{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 26851, "data_time": 0.00861, "decode.loss_seg": 0.16685, "decode.acc_seg": 73.58022, "aux.loss_seg": 0.09315, "aux.acc_seg": 71.78147, "loss": 0.26, "time": 0.73354} -{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 26851, "data_time": 0.00864, "decode.loss_seg": 0.18224, "decode.acc_seg": 75.74664, "aux.loss_seg": 0.10018, "aux.acc_seg": 73.95656, "loss": 0.28242, "time": 0.73862} -{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 26851, "data_time": 0.00897, "decode.loss_seg": 0.16619, "decode.acc_seg": 74.8372, "aux.loss_seg": 0.09359, "aux.acc_seg": 73.00681, "loss": 0.25978, "time": 0.7318} -{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.16872, "decode.acc_seg": 75.22757, "aux.loss_seg": 0.09302, "aux.acc_seg": 73.58527, "loss": 0.26175, "time": 0.73483} -{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.17376, "decode.acc_seg": 74.84397, "aux.loss_seg": 0.09442, "aux.acc_seg": 73.14666, "loss": 0.26818, "time": 0.73637} -{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.16185, "decode.acc_seg": 74.52648, "aux.loss_seg": 0.08862, "aux.acc_seg": 72.99371, "loss": 0.25047, "time": 0.73254} -{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 26851, "data_time": 0.00919, "decode.loss_seg": 0.17358, "decode.acc_seg": 76.05065, "aux.loss_seg": 0.09775, "aux.acc_seg": 74.18006, "loss": 0.27133, "time": 0.72711} -{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 26851, "data_time": 0.00907, "decode.loss_seg": 0.17022, "decode.acc_seg": 75.76217, "aux.loss_seg": 0.09534, "aux.acc_seg": 73.9188, "loss": 0.26556, "time": 0.72804} -{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 26851, "data_time": 0.00881, "decode.loss_seg": 0.16793, "decode.acc_seg": 76.06378, "aux.loss_seg": 0.09234, "aux.acc_seg": 74.32459, "loss": 0.26027, "time": 0.72982} -{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 26851, "data_time": 0.00815, "decode.loss_seg": 0.16483, "decode.acc_seg": 74.77617, "aux.loss_seg": 0.0923, "aux.acc_seg": 72.96011, "loss": 0.25714, "time": 0.73058} -{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 26851, "data_time": 0.00865, "decode.loss_seg": 0.17213, "decode.acc_seg": 74.43996, "aux.loss_seg": 0.09534, "aux.acc_seg": 72.64032, "loss": 0.26747, "time": 0.73356} -{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 26851, "data_time": 0.00869, "decode.loss_seg": 0.16263, "decode.acc_seg": 75.75145, "aux.loss_seg": 0.09117, "aux.acc_seg": 74.01337, "loss": 0.25379, "time": 0.73509} -{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 26851, "data_time": 0.0087, "decode.loss_seg": 0.1761, "decode.acc_seg": 75.38151, "aux.loss_seg": 0.09717, "aux.acc_seg": 73.54237, "loss": 0.27327, "time": 0.7347} -{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 26851, "data_time": 0.00891, "decode.loss_seg": 0.17092, "decode.acc_seg": 74.66326, "aux.loss_seg": 0.09503, "aux.acc_seg": 72.91332, "loss": 0.26595, "time": 0.7347} -{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 26851, "data_time": 0.24804, "decode.loss_seg": 0.16797, "decode.acc_seg": 76.38132, "aux.loss_seg": 0.09519, "aux.acc_seg": 74.63767, "loss": 0.26316, "time": 0.96452} -{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 26851, "data_time": 0.00927, "decode.loss_seg": 0.16113, "decode.acc_seg": 74.9663, "aux.loss_seg": 0.09054, "aux.acc_seg": 73.16313, "loss": 0.25167, "time": 0.73028} -{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 26851, "data_time": 0.00848, "decode.loss_seg": 0.17527, "decode.acc_seg": 76.01861, "aux.loss_seg": 0.09605, "aux.acc_seg": 74.25662, "loss": 0.27132, "time": 0.73521} -{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 26851, "data_time": 0.00803, "decode.loss_seg": 0.17172, "decode.acc_seg": 74.76519, "aux.loss_seg": 0.09502, "aux.acc_seg": 72.93489, "loss": 0.26674, "time": 0.73183} -{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 26851, "data_time": 0.00853, "decode.loss_seg": 0.16246, "decode.acc_seg": 75.03974, "aux.loss_seg": 0.09137, "aux.acc_seg": 73.1938, "loss": 0.25383, "time": 0.73685} -{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 26851, "data_time": 0.00878, "decode.loss_seg": 0.17299, "decode.acc_seg": 75.52737, "aux.loss_seg": 0.09567, "aux.acc_seg": 73.76747, "loss": 0.26867, "time": 0.73086} -{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 26851, "data_time": 0.00857, "decode.loss_seg": 0.17257, "decode.acc_seg": 76.14217, "aux.loss_seg": 0.09428, "aux.acc_seg": 74.40728, "loss": 0.26685, "time": 0.72939} -{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 26851, "data_time": 0.00856, "decode.loss_seg": 0.16146, "decode.acc_seg": 76.11535, "aux.loss_seg": 0.09001, "aux.acc_seg": 74.39895, "loss": 0.25148, "time": 0.72663} -{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 26851, "data_time": 0.00842, "decode.loss_seg": 0.17435, "decode.acc_seg": 75.09404, "aux.loss_seg": 0.098, "aux.acc_seg": 73.28999, "loss": 0.27235, "time": 0.72959} -{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 26851, "data_time": 0.00834, "decode.loss_seg": 0.16058, "decode.acc_seg": 73.80159, "aux.loss_seg": 0.09144, "aux.acc_seg": 71.95517, "loss": 0.25202, "time": 0.73529} -{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 26851, "data_time": 0.00837, "decode.loss_seg": 0.16692, "decode.acc_seg": 73.73561, "aux.loss_seg": 0.09219, "aux.acc_seg": 72.08853, "loss": 0.2591, "time": 0.73315} -{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 26851, "data_time": 0.00883, "decode.loss_seg": 0.16526, "decode.acc_seg": 75.59894, "aux.loss_seg": 0.09136, "aux.acc_seg": 73.89233, "loss": 0.25661, "time": 0.73641} -{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 26851, "data_time": 0.00843, "decode.loss_seg": 0.16077, "decode.acc_seg": 76.36988, "aux.loss_seg": 0.09003, "aux.acc_seg": 74.6261, "loss": 0.2508, "time": 0.73473} -{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 26851, "data_time": 0.00844, "decode.loss_seg": 0.15947, "decode.acc_seg": 75.49051, "aux.loss_seg": 0.08937, "aux.acc_seg": 73.75679, "loss": 0.24885, "time": 0.73448} -{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 26851, "data_time": 0.00824, "decode.loss_seg": 0.16897, "decode.acc_seg": 74.46061, "aux.loss_seg": 0.09512, "aux.acc_seg": 72.64044, "loss": 0.26409, "time": 0.73094} -{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 26851, "data_time": 0.00812, "decode.loss_seg": 0.16198, "decode.acc_seg": 75.10792, "aux.loss_seg": 0.08926, "aux.acc_seg": 73.50723, "loss": 0.25124, "time": 0.72891} -{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 26851, "data_time": 0.00771, "decode.loss_seg": 0.17087, "decode.acc_seg": 75.06967, "aux.loss_seg": 0.09457, "aux.acc_seg": 73.3111, "loss": 0.26544, "time": 0.71971} -{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 26851, "data_time": 0.00768, "decode.loss_seg": 0.1689, "decode.acc_seg": 75.61555, "aux.loss_seg": 0.09415, "aux.acc_seg": 73.73794, "loss": 0.26305, "time": 0.71678} -{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 26851, "data_time": 0.00741, "decode.loss_seg": 0.16627, "decode.acc_seg": 75.67334, "aux.loss_seg": 0.09344, "aux.acc_seg": 73.86469, "loss": 0.25972, "time": 0.71662} -{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 26851, "data_time": 0.0074, "decode.loss_seg": 0.17353, "decode.acc_seg": 75.37572, "aux.loss_seg": 0.09696, "aux.acc_seg": 73.5103, "loss": 0.27048, "time": 0.71873} -{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 26851, "data_time": 0.00735, "decode.loss_seg": 0.17011, "decode.acc_seg": 76.02716, "aux.loss_seg": 0.09486, "aux.acc_seg": 74.31551, "loss": 0.26498, "time": 0.71751} -{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.16984, "decode.acc_seg": 74.9464, "aux.loss_seg": 0.09309, "aux.acc_seg": 73.28524, "loss": 0.26293, "time": 0.7185} -{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 26851, "data_time": 0.00737, "decode.loss_seg": 0.16624, "decode.acc_seg": 74.96643, "aux.loss_seg": 0.09277, "aux.acc_seg": 73.20676, "loss": 0.25901, "time": 0.71413} -{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 26851, "data_time": 0.00744, "decode.loss_seg": 0.17072, "decode.acc_seg": 74.34483, "aux.loss_seg": 0.09304, "aux.acc_seg": 72.65523, "loss": 0.26376, "time": 0.71502} -{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 26851, "data_time": 0.00745, "decode.loss_seg": 0.17004, "decode.acc_seg": 75.657, "aux.loss_seg": 0.09476, "aux.acc_seg": 73.88881, "loss": 0.26481, "time": 0.71718} -{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 26851, "data_time": 0.21771, "decode.loss_seg": 0.16747, "decode.acc_seg": 74.60478, "aux.loss_seg": 0.09338, "aux.acc_seg": 72.83421, "loss": 0.26086, "time": 0.92833} -{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 26851, "data_time": 0.00704, "decode.loss_seg": 0.17941, "decode.acc_seg": 75.03034, "aux.loss_seg": 0.09965, "aux.acc_seg": 73.17673, "loss": 0.27906, "time": 0.71834} -{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 26851, "data_time": 0.00751, "decode.loss_seg": 0.16408, "decode.acc_seg": 74.4019, "aux.loss_seg": 0.09099, "aux.acc_seg": 72.62975, "loss": 0.25507, "time": 0.72617} -{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 26851, "data_time": 0.00773, "decode.loss_seg": 0.17103, "decode.acc_seg": 75.46833, "aux.loss_seg": 0.09398, "aux.acc_seg": 73.74536, "loss": 0.26501, "time": 0.73284} -{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 26851, "data_time": 0.00719, "decode.loss_seg": 0.17094, "decode.acc_seg": 76.22875, "aux.loss_seg": 0.09391, "aux.acc_seg": 74.49303, "loss": 0.26485, "time": 0.72181} -{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 26851, "data_time": 0.00724, "decode.loss_seg": 0.17322, "decode.acc_seg": 74.96288, "aux.loss_seg": 0.09524, "aux.acc_seg": 73.12565, "loss": 0.26846, "time": 0.7221} -{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 26851, "data_time": 0.00721, "decode.loss_seg": 0.1718, "decode.acc_seg": 76.31242, "aux.loss_seg": 0.09714, "aux.acc_seg": 74.44592, "loss": 0.26894, "time": 0.71862} -{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.16373, "decode.acc_seg": 74.22969, "aux.loss_seg": 0.0916, "aux.acc_seg": 72.46306, "loss": 0.25533, "time": 0.7194} -{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 26851, "data_time": 0.00684, "decode.loss_seg": 0.17055, "decode.acc_seg": 74.82623, "aux.loss_seg": 0.09542, "aux.acc_seg": 73.0071, "loss": 0.26597, "time": 0.71546} -{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 26851, "data_time": 0.0071, "decode.loss_seg": 0.1608, "decode.acc_seg": 75.58049, "aux.loss_seg": 0.09152, "aux.acc_seg": 73.70143, "loss": 0.25232, "time": 0.71884} -{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 26851, "data_time": 0.0069, "decode.loss_seg": 0.16893, "decode.acc_seg": 74.89319, "aux.loss_seg": 0.09378, "aux.acc_seg": 73.12684, "loss": 0.26272, "time": 0.71981} -{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 26851, "data_time": 0.00694, "decode.loss_seg": 0.16684, "decode.acc_seg": 75.39869, "aux.loss_seg": 0.09483, "aux.acc_seg": 73.58355, "loss": 0.26167, "time": 0.72078} -{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 26851, "data_time": 0.00717, "decode.loss_seg": 0.16139, "decode.acc_seg": 74.84989, "aux.loss_seg": 0.09019, "aux.acc_seg": 73.14443, "loss": 0.25157, "time": 0.72209} -{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 26851, "data_time": 0.00689, "decode.loss_seg": 0.17609, "decode.acc_seg": 75.76961, "aux.loss_seg": 0.09654, "aux.acc_seg": 73.97813, "loss": 0.27263, "time": 0.71632} -{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 26851, "data_time": 0.00704, "decode.loss_seg": 0.16901, "decode.acc_seg": 74.60178, "aux.loss_seg": 0.09436, "aux.acc_seg": 72.87874, "loss": 0.26337, "time": 0.71401} -{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 26851, "data_time": 0.00684, "decode.loss_seg": 0.16677, "decode.acc_seg": 74.79452, "aux.loss_seg": 0.09234, "aux.acc_seg": 73.14016, "loss": 0.25912, "time": 0.71581} -{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 26851, "data_time": 0.00726, "decode.loss_seg": 0.16022, "decode.acc_seg": 75.35595, "aux.loss_seg": 0.08968, "aux.acc_seg": 73.56748, "loss": 0.2499, "time": 0.7196} -{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4769, "mAcc": 0.5979, "aAcc": 0.823, "IoU.wall": 0.7637, "IoU.building": 0.8183, "IoU.sky": 0.9383, "IoU.floor": 0.8101, "IoU.tree": 0.7346, "IoU.ceiling": 0.8339, "IoU.road": 0.8424, "IoU.bed ": 0.8736, "IoU.windowpane": 0.6022, "IoU.grass": 0.6495, "IoU.cabinet": 0.6007, "IoU.sidewalk": 0.6692, "IoU.person": 0.778, "IoU.earth": 0.3709, "IoU.door": 0.4497, "IoU.table": 0.5815, "IoU.mountain": 0.5569, "IoU.plant": 0.5081, "IoU.curtain": 0.7215, "IoU.chair": 0.5491, "IoU.car": 0.8198, "IoU.water": 0.4749, "IoU.painting": 0.7128, "IoU.sofa": 0.6033, "IoU.shelf": 0.4305, "IoU.house": 0.4663, "IoU.sea": 0.487, "IoU.mirror": 0.6274, "IoU.rug": 0.6252, "IoU.field": 0.2837, "IoU.armchair": 0.43, "IoU.seat": 0.6225, "IoU.fence": 0.3944, "IoU.desk": 0.4763, "IoU.rock": 0.3828, "IoU.wardrobe": 0.4567, "IoU.lamp": 0.6012, "IoU.bathtub": 0.7613, "IoU.railing": 0.3617, "IoU.cushion": 0.527, "IoU.base": 0.3171, "IoU.box": 0.2695, "IoU.column": 0.4354, "IoU.signboard": 0.371, "IoU.chest of drawers": 0.376, "IoU.counter": 0.3529, "IoU.sand": 0.5315, "IoU.sink": 0.7114, "IoU.skyscraper": 0.544, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7142, "IoU.grandstand": 0.4184, "IoU.path": 0.2772, "IoU.stairs": 0.2776, "IoU.runway": 0.7253, "IoU.case": 0.4382, "IoU.pool table": 0.9123, "IoU.pillow": 0.5594, "IoU.screen door": 0.6595, "IoU.stairway": 0.2712, "IoU.river": 0.1561, "IoU.bridge": 0.6937, "IoU.bookcase": 0.4507, "IoU.blind": NaN, "IoU.coffee table": 0.539, "IoU.toilet": 0.8199, "IoU.flower": 0.4214, "IoU.book": 0.4613, "IoU.hill": 0.0781, "IoU.bench": 0.4362, "IoU.countertop": 0.5137, "IoU.stove": 0.7266, "IoU.palm": 0.4984, "IoU.kitchen island": 0.3584, "IoU.computer": 0.6206, "IoU.swivel chair": 0.4512, "IoU.boat": 0.4075, "IoU.bar": 0.353, "IoU.arcade machine": 0.5448, "IoU.hovel": 0.2516, "IoU.bus": 0.8428, "IoU.towel": 0.6424, "IoU.light": 0.5531, "IoU.truck": 0.1859, "IoU.tower": 0.0723, "IoU.chandelier": 0.6587, "IoU.awning": 0.2752, "IoU.streetlight": 0.2153, "IoU.booth": 0.5759, "IoU.television receiver": NaN, "IoU.airplane": 0.5771, "IoU.dirt track": 0.0803, "IoU.apparel": 0.3013, "IoU.pole": 0.1743, "IoU.land": 0.0226, "IoU.bannister": 0.0977, "IoU.escalator": 0.3495, "IoU.ottoman": 0.4, "IoU.bottle": NaN, "IoU.buffet": 0.3048, "IoU.poster": 0.2492, "IoU.stage": 0.2437, "IoU.van": 0.3798, "IoU.ship": 0.5502, "IoU.fountain": 0.3178, "IoU.conveyer belt": 0.7454, "IoU.canopy": 0.1797, "IoU.washer": 0.6893, "IoU.plaything": 0.2456, "IoU.swimming pool": 0.7084, "IoU.stool": 0.3582, "IoU.barrel": 0.5674, "IoU.basket": 0.33, "IoU.waterfall": 0.4584, "IoU.tent": 0.768, "IoU.bag": 0.143, "IoU.minibike": 0.6955, "IoU.cradle": NaN, "IoU.oven": 0.3602, "IoU.ball": 0.4168, "IoU.food": 0.5829, "IoU.step": 0.074, "IoU.tank": 0.5439, "IoU.trade name": 0.2705, "IoU.microwave": 0.6365, "IoU.pot": 0.5069, "IoU.animal": NaN, "IoU.bicycle": 0.5373, "IoU.lake": 0.5193, "IoU.dishwasher": 0.5589, "IoU.screen": 0.6972, "IoU.blanket": 0.1718, "IoU.sculpture": 0.6453, "IoU.hood": 0.579, "IoU.sconce": 0.4443, "IoU.vase": 0.3796, "IoU.traffic light": 0.2782, "IoU.tray": 0.0941, "IoU.ashcan": 0.3559, "IoU.fan": 0.592, "IoU.pier": 0.4958, "IoU.crt screen": 0.0654, "IoU.plate": 0.5644, "IoU.monitor": 0.0952, "IoU.bulletin board": 0.3776, "IoU.shower": 0.0331, "IoU.radiator": 0.5766, "IoU.glass": 0.1296, "IoU.clock": 0.4059, "IoU.flag": 0.5829, "Acc.wall": 0.8729, "Acc.building": 0.9263, "Acc.sky": 0.9726, "Acc.floor": 0.8998, "Acc.tree": 0.8719, "Acc.ceiling": 0.9171, "Acc.road": 0.9045, "Acc.bed ": 0.9519, "Acc.windowpane": 0.7766, "Acc.grass": 0.8075, "Acc.cabinet": 0.7378, "Acc.sidewalk": 0.825, "Acc.person": 0.9185, "Acc.earth": 0.4868, "Acc.door": 0.6073, "Acc.table": 0.7525, "Acc.mountain": 0.7206, "Acc.plant": 0.6178, "Acc.curtain": 0.8375, "Acc.chair": 0.6845, "Acc.car": 0.8989, "Acc.water": 0.6225, "Acc.painting": 0.8674, "Acc.sofa": 0.7689, "Acc.shelf": 0.5858, "Acc.house": 0.5957, "Acc.sea": 0.7684, "Acc.mirror": 0.7161, "Acc.rug": 0.7404, "Acc.field": 0.4589, "Acc.armchair": 0.6283, "Acc.seat": 0.8446, "Acc.fence": 0.5315, "Acc.desk": 0.6515, "Acc.rock": 0.6112, "Acc.wardrobe": 0.6072, "Acc.lamp": 0.7435, "Acc.bathtub": 0.821, "Acc.railing": 0.4955, "Acc.cushion": 0.6843, "Acc.base": 0.4184, "Acc.box": 0.3677, "Acc.column": 0.5592, "Acc.signboard": 0.5214, "Acc.chest of drawers": 0.5597, "Acc.counter": 0.4463, "Acc.sand": 0.7422, "Acc.sink": 0.8057, "Acc.skyscraper": 0.6883, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8046, "Acc.grandstand": 0.671, "Acc.path": 0.4035, "Acc.stairs": 0.3426, "Acc.runway": 0.942, "Acc.case": 0.5817, "Acc.pool table": 0.9664, "Acc.pillow": 0.6726, "Acc.screen door": 0.7429, "Acc.stairway": 0.36, "Acc.river": 0.2825, "Acc.bridge": 0.8195, "Acc.bookcase": 0.5644, "Acc.blind": NaN, "Acc.coffee table": 0.7649, "Acc.toilet": 0.8858, "Acc.flower": 0.6121, "Acc.book": 0.6613, "Acc.hill": 0.1454, "Acc.bench": 0.5354, "Acc.countertop": 0.7049, "Acc.stove": 0.8207, "Acc.palm": 0.7273, "Acc.kitchen island": 0.657, "Acc.computer": 0.73, "Acc.swivel chair": 0.6212, "Acc.boat": 0.484, "Acc.bar": 0.4557, "Acc.arcade machine": 0.595, "Acc.hovel": 0.2871, "Acc.bus": 0.9587, "Acc.towel": 0.7973, "Acc.light": 0.6484, "Acc.truck": 0.2948, "Acc.tower": 0.1099, "Acc.chandelier": 0.8331, "Acc.awning": 0.3299, "Acc.streetlight": 0.2876, "Acc.booth": 0.6593, "Acc.television receiver": NaN, "Acc.airplane": 0.6497, "Acc.dirt track": 0.1802, "Acc.apparel": 0.443, "Acc.pole": 0.2376, "Acc.land": 0.0312, "Acc.bannister": 0.1251, "Acc.escalator": 0.4159, "Acc.ottoman": 0.5991, "Acc.bottle": NaN, "Acc.buffet": 0.3382, "Acc.poster": 0.3212, "Acc.stage": 0.3382, "Acc.van": 0.5763, "Acc.ship": 0.9731, "Acc.fountain": 0.3244, "Acc.conveyer belt": 0.8763, "Acc.canopy": 0.212, "Acc.washer": 0.7471, "Acc.plaything": 0.3875, "Acc.swimming pool": 0.7749, "Acc.stool": 0.5223, "Acc.barrel": 0.7104, "Acc.basket": 0.4485, "Acc.waterfall": 0.5469, "Acc.tent": 0.9803, "Acc.bag": 0.1789, "Acc.minibike": 0.8406, "Acc.cradle": NaN, "Acc.oven": 0.4557, "Acc.ball": 0.4467, "Acc.food": 0.6763, "Acc.step": 0.0882, "Acc.tank": 0.6185, "Acc.trade name": 0.3166, "Acc.microwave": 0.7164, "Acc.pot": 0.5656, "Acc.animal": NaN, "Acc.bicycle": 0.7599, "Acc.lake": 0.5639, "Acc.dishwasher": 0.6786, "Acc.screen": 0.9279, "Acc.blanket": 0.1974, "Acc.sculpture": 0.8076, "Acc.hood": 0.6889, "Acc.sconce": 0.5484, "Acc.vase": 0.5205, "Acc.traffic light": 0.4202, "Acc.tray": 0.1792, "Acc.ashcan": 0.4569, "Acc.fan": 0.7258, "Acc.pier": 0.7954, "Acc.crt screen": 0.1935, "Acc.plate": 0.7405, "Acc.monitor": 0.1241, "Acc.bulletin board": 0.519, "Acc.shower": 0.0481, "Acc.radiator": 0.6564, "Acc.glass": 0.1371, "Acc.clock": 0.4912, "Acc.flag": 0.6591} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt deleted file mode 100644 index 80a3bef2b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_l.txt +++ /dev/null @@ -1,3201 +0,0 @@ -{"env_info": "sys.platform: linux\nPython: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) oneAPI Math Kernel Library Version 2021.2-Product Build 20210312 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.0\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+89a0876", "seed": null, "exp_name": "upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py"} -{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 17798, "data_time": 0.00627, "decode.loss_seg": 4.03034, "decode.acc_seg": 0.95287, "aux.loss_seg": 1.62137, "aux.acc_seg": 0.69193, "loss": 5.6517, "time": 0.48247} -{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 17798, "data_time": 0.00507, "decode.loss_seg": 3.94737, "decode.acc_seg": 7.91556, "aux.loss_seg": 1.61433, "aux.acc_seg": 1.32467, "loss": 5.5617, "time": 0.30769} -{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 17798, "data_time": 0.00514, "decode.loss_seg": 3.75652, "decode.acc_seg": 24.19497, "aux.loss_seg": 1.59875, "aux.acc_seg": 4.91255, "loss": 5.35527, "time": 0.3059} -{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 3.4145, "decode.acc_seg": 34.5085, "aux.loss_seg": 1.57577, "aux.acc_seg": 15.59626, "loss": 4.99027, "time": 0.30607} -{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 17798, "data_time": 0.00508, "decode.loss_seg": 3.16166, "decode.acc_seg": 39.5867, "aux.loss_seg": 1.55613, "aux.acc_seg": 30.1913, "loss": 4.71779, "time": 0.3065} -{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 17798, "data_time": 0.00486, "decode.loss_seg": 2.78213, "decode.acc_seg": 39.08122, "aux.loss_seg": 1.43067, "aux.acc_seg": 34.45642, "loss": 4.2128, "time": 0.30327} -{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 17798, "data_time": 0.00478, "decode.loss_seg": 2.6313, "decode.acc_seg": 43.11488, "aux.loss_seg": 1.40188, "aux.acc_seg": 38.93375, "loss": 4.03317, "time": 0.30274} -{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 2.39595, "decode.acc_seg": 43.4366, "aux.loss_seg": 1.30284, "aux.acc_seg": 39.23969, "loss": 3.69879, "time": 0.30292} -{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 2.23015, "decode.acc_seg": 44.55956, "aux.loss_seg": 1.23287, "aux.acc_seg": 39.75318, "loss": 3.46301, "time": 0.3026} -{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 2.09842, "decode.acc_seg": 47.14022, "aux.loss_seg": 1.18621, "aux.acc_seg": 42.43188, "loss": 3.28463, "time": 0.30318} -{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 2.02351, "decode.acc_seg": 48.31913, "aux.loss_seg": 1.1534, "aux.acc_seg": 43.37173, "loss": 3.17691, "time": 0.30354} -{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 1.95297, "decode.acc_seg": 48.49878, "aux.loss_seg": 1.11866, "aux.acc_seg": 44.12775, "loss": 3.07163, "time": 0.30257} -{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 17798, "data_time": 0.0049, "decode.loss_seg": 1.82382, "decode.acc_seg": 47.73202, "aux.loss_seg": 1.03983, "aux.acc_seg": 43.35105, "loss": 2.86365, "time": 0.30186} -{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 17798, "data_time": 0.00454, "decode.loss_seg": 1.78558, "decode.acc_seg": 47.08915, "aux.loss_seg": 1.00574, "aux.acc_seg": 43.34719, "loss": 2.79132, "time": 0.30275} -{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 17798, "data_time": 0.00451, "decode.loss_seg": 1.69154, "decode.acc_seg": 48.2269, "aux.loss_seg": 0.95727, "aux.acc_seg": 43.86083, "loss": 2.64881, "time": 0.30269} -{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 17798, "data_time": 0.00467, "decode.loss_seg": 1.62219, "decode.acc_seg": 51.04537, "aux.loss_seg": 0.92009, "aux.acc_seg": 46.93818, "loss": 2.54228, "time": 0.30213} -{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 17798, "data_time": 0.00475, "decode.loss_seg": 1.51363, "decode.acc_seg": 50.9408, "aux.loss_seg": 0.86725, "aux.acc_seg": 47.00698, "loss": 2.38088, "time": 0.30198} -{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 17798, "data_time": 0.00499, "decode.loss_seg": 1.43777, "decode.acc_seg": 49.6275, "aux.loss_seg": 0.81147, "aux.acc_seg": 45.05519, "loss": 2.24925, "time": 0.30253} -{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 17798, "data_time": 0.00518, "decode.loss_seg": 1.4471, "decode.acc_seg": 50.40306, "aux.loss_seg": 0.79757, "aux.acc_seg": 46.34237, "loss": 2.24467, "time": 0.30195} -{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 1.43161, "decode.acc_seg": 51.20661, "aux.loss_seg": 0.77964, "aux.acc_seg": 47.19063, "loss": 2.21125, "time": 0.3022} -{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 1.31263, "decode.acc_seg": 53.8959, "aux.loss_seg": 0.73106, "aux.acc_seg": 48.71827, "loss": 2.04369, "time": 0.30191} -{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 1.34918, "decode.acc_seg": 51.58716, "aux.loss_seg": 0.71543, "aux.acc_seg": 47.66625, "loss": 2.06461, "time": 0.30195} -{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 1.32473, "decode.acc_seg": 52.68137, "aux.loss_seg": 0.6987, "aux.acc_seg": 48.60192, "loss": 2.02342, "time": 0.302} -{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 1.29263, "decode.acc_seg": 53.32366, "aux.loss_seg": 0.67668, "aux.acc_seg": 49.26469, "loss": 1.96931, "time": 0.30187} -{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 17798, "data_time": 0.00513, "decode.loss_seg": 1.1978, "decode.acc_seg": 52.60455, "aux.loss_seg": 0.6305, "aux.acc_seg": 48.98613, "loss": 1.8283, "time": 0.3046} -{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 17798, "data_time": 0.15137, "decode.loss_seg": 1.22209, "decode.acc_seg": 53.76218, "aux.loss_seg": 0.63302, "aux.acc_seg": 50.29348, "loss": 1.85511, "time": 0.46944} -{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 17798, "data_time": 0.00568, "decode.loss_seg": 1.20936, "decode.acc_seg": 53.54835, "aux.loss_seg": 0.62523, "aux.acc_seg": 50.25623, "loss": 1.83459, "time": 0.30221} -{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 17798, "data_time": 0.00566, "decode.loss_seg": 1.24782, "decode.acc_seg": 52.03706, "aux.loss_seg": 0.62435, "aux.acc_seg": 49.20591, "loss": 1.87217, "time": 0.30368} -{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 1.12801, "decode.acc_seg": 54.4317, "aux.loss_seg": 0.58047, "aux.acc_seg": 51.34423, "loss": 1.70848, "time": 0.30603} -{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 17798, "data_time": 0.00583, "decode.loss_seg": 1.17424, "decode.acc_seg": 53.82873, "aux.loss_seg": 0.58163, "aux.acc_seg": 51.48784, "loss": 1.75587, "time": 0.30619} -{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 17798, "data_time": 0.00608, "decode.loss_seg": 1.23424, "decode.acc_seg": 52.28972, "aux.loss_seg": 0.60914, "aux.acc_seg": 49.93754, "loss": 1.84338, "time": 0.30459} -{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 17798, "data_time": 0.00572, "decode.loss_seg": 1.08923, "decode.acc_seg": 55.35871, "aux.loss_seg": 0.54324, "aux.acc_seg": 52.40101, "loss": 1.63247, "time": 0.30358} -{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 17798, "data_time": 0.00591, "decode.loss_seg": 1.14076, "decode.acc_seg": 53.30734, "aux.loss_seg": 0.56632, "aux.acc_seg": 50.44935, "loss": 1.70708, "time": 0.30376} -{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 17798, "data_time": 0.00617, "decode.loss_seg": 1.11413, "decode.acc_seg": 55.63863, "aux.loss_seg": 0.54072, "aux.acc_seg": 53.3776, "loss": 1.65485, "time": 0.30332} -{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 17798, "data_time": 0.00596, "decode.loss_seg": 1.0407, "decode.acc_seg": 54.50639, "aux.loss_seg": 0.51274, "aux.acc_seg": 52.45025, "loss": 1.55344, "time": 0.30783} -{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 17798, "data_time": 0.00572, "decode.loss_seg": 1.05323, "decode.acc_seg": 55.22224, "aux.loss_seg": 0.51856, "aux.acc_seg": 53.23561, "loss": 1.57179, "time": 0.30716} -{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 1.03643, "decode.acc_seg": 54.33693, "aux.loss_seg": 0.51076, "aux.acc_seg": 51.89687, "loss": 1.54719, "time": 0.30561} -{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 0.92744, "decode.acc_seg": 57.24279, "aux.loss_seg": 0.4608, "aux.acc_seg": 54.72356, "loss": 1.38824, "time": 0.3052} -{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 17798, "data_time": 0.00531, "decode.loss_seg": 0.96143, "decode.acc_seg": 55.70394, "aux.loss_seg": 0.4805, "aux.acc_seg": 52.50473, "loss": 1.44193, "time": 0.30527} -{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 1.03067, "decode.acc_seg": 55.64218, "aux.loss_seg": 0.50279, "aux.acc_seg": 53.60382, "loss": 1.53346, "time": 0.30407} -{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 1.0345, "decode.acc_seg": 54.11825, "aux.loss_seg": 0.50233, "aux.acc_seg": 51.9134, "loss": 1.53683, "time": 0.30501} -{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 1.04184, "decode.acc_seg": 55.38987, "aux.loss_seg": 0.50687, "aux.acc_seg": 52.59041, "loss": 1.54871, "time": 0.30402} -{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.97574, "decode.acc_seg": 56.01801, "aux.loss_seg": 0.474, "aux.acc_seg": 53.37078, "loss": 1.44975, "time": 0.30391} -{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 17798, "data_time": 0.00584, "decode.loss_seg": 0.99964, "decode.acc_seg": 56.97386, "aux.loss_seg": 0.48004, "aux.acc_seg": 54.54166, "loss": 1.47968, "time": 0.30368} -{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 17798, "data_time": 0.00599, "decode.loss_seg": 0.95574, "decode.acc_seg": 56.60277, "aux.loss_seg": 0.46119, "aux.acc_seg": 54.67794, "loss": 1.41693, "time": 0.30524} -{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 17798, "data_time": 0.00585, "decode.loss_seg": 0.91585, "decode.acc_seg": 57.70036, "aux.loss_seg": 0.44552, "aux.acc_seg": 55.41647, "loss": 1.36137, "time": 0.30487} -{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 17798, "data_time": 0.00596, "decode.loss_seg": 0.92237, "decode.acc_seg": 55.63796, "aux.loss_seg": 0.44343, "aux.acc_seg": 53.42346, "loss": 1.3658, "time": 0.3044} -{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.91676, "decode.acc_seg": 56.11901, "aux.loss_seg": 0.4445, "aux.acc_seg": 53.90931, "loss": 1.36126, "time": 0.30404} -{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.9213, "decode.acc_seg": 55.18671, "aux.loss_seg": 0.45094, "aux.acc_seg": 52.3101, "loss": 1.37224, "time": 0.30458} -{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 17798, "data_time": 0.00562, "decode.loss_seg": 0.92235, "decode.acc_seg": 58.35026, "aux.loss_seg": 0.4481, "aux.acc_seg": 55.91463, "loss": 1.37045, "time": 0.30535} -{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 17798, "data_time": 0.15276, "decode.loss_seg": 0.92449, "decode.acc_seg": 57.72872, "aux.loss_seg": 0.44751, "aux.acc_seg": 55.4937, "loss": 1.372, "time": 0.47243} -{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.86693, "decode.acc_seg": 57.0884, "aux.loss_seg": 0.42591, "aux.acc_seg": 54.2908, "loss": 1.29284, "time": 0.30315} -{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 17798, "data_time": 0.00564, "decode.loss_seg": 0.87444, "decode.acc_seg": 56.52945, "aux.loss_seg": 0.42595, "aux.acc_seg": 53.66395, "loss": 1.30039, "time": 0.303} -{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 17798, "data_time": 0.00611, "decode.loss_seg": 0.82518, "decode.acc_seg": 60.09898, "aux.loss_seg": 0.40537, "aux.acc_seg": 57.2685, "loss": 1.23055, "time": 0.30387} -{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 17798, "data_time": 0.00621, "decode.loss_seg": 0.83083, "decode.acc_seg": 57.87922, "aux.loss_seg": 0.41212, "aux.acc_seg": 54.54621, "loss": 1.24295, "time": 0.30393} -{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 17798, "data_time": 0.00605, "decode.loss_seg": 0.86972, "decode.acc_seg": 58.59961, "aux.loss_seg": 0.42412, "aux.acc_seg": 55.99503, "loss": 1.29383, "time": 0.30389} -{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.84592, "decode.acc_seg": 59.08802, "aux.loss_seg": 0.40891, "aux.acc_seg": 56.72559, "loss": 1.25484, "time": 0.3033} -{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 17798, "data_time": 0.00564, "decode.loss_seg": 0.83116, "decode.acc_seg": 58.83837, "aux.loss_seg": 0.40865, "aux.acc_seg": 55.8211, "loss": 1.23981, "time": 0.30412} -{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.82039, "decode.acc_seg": 59.24977, "aux.loss_seg": 0.39768, "aux.acc_seg": 56.39437, "loss": 1.21806, "time": 0.30431} -{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.82003, "decode.acc_seg": 59.00867, "aux.loss_seg": 0.39376, "aux.acc_seg": 56.6556, "loss": 1.21379, "time": 0.30446} -{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 17798, "data_time": 0.00533, "decode.loss_seg": 0.81841, "decode.acc_seg": 58.73752, "aux.loss_seg": 0.39698, "aux.acc_seg": 55.84612, "loss": 1.21539, "time": 0.30377} -{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.82729, "decode.acc_seg": 57.97534, "aux.loss_seg": 0.40198, "aux.acc_seg": 54.9936, "loss": 1.22927, "time": 0.30395} -{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.83316, "decode.acc_seg": 57.78931, "aux.loss_seg": 0.39719, "aux.acc_seg": 55.7429, "loss": 1.23035, "time": 0.30515} -{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.79264, "decode.acc_seg": 58.76751, "aux.loss_seg": 0.3765, "aux.acc_seg": 56.47037, "loss": 1.16913, "time": 0.30445} -{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.84212, "decode.acc_seg": 58.08424, "aux.loss_seg": 0.40483, "aux.acc_seg": 55.30772, "loss": 1.24695, "time": 0.30546} -{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.80429, "decode.acc_seg": 57.30495, "aux.loss_seg": 0.38473, "aux.acc_seg": 54.9731, "loss": 1.18902, "time": 0.30387} -{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.83194, "decode.acc_seg": 58.68575, "aux.loss_seg": 0.39217, "aux.acc_seg": 56.49574, "loss": 1.22411, "time": 0.30392} -{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 17798, "data_time": 0.00537, "decode.loss_seg": 0.82107, "decode.acc_seg": 57.75099, "aux.loss_seg": 0.38777, "aux.acc_seg": 55.89213, "loss": 1.20884, "time": 0.30381} -{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.83789, "decode.acc_seg": 56.94379, "aux.loss_seg": 0.3947, "aux.acc_seg": 54.98884, "loss": 1.2326, "time": 0.30412} -{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 17798, "data_time": 0.00555, "decode.loss_seg": 0.81945, "decode.acc_seg": 59.79478, "aux.loss_seg": 0.38955, "aux.acc_seg": 57.61707, "loss": 1.209, "time": 0.30318} -{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.83817, "decode.acc_seg": 57.84799, "aux.loss_seg": 0.39759, "aux.acc_seg": 55.56779, "loss": 1.23577, "time": 0.30388} -{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 17798, "data_time": 0.0054, "decode.loss_seg": 0.79208, "decode.acc_seg": 59.19845, "aux.loss_seg": 0.37358, "aux.acc_seg": 57.16219, "loss": 1.16566, "time": 0.30403} -{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 0.7979, "decode.acc_seg": 57.88643, "aux.loss_seg": 0.36869, "aux.acc_seg": 56.29923, "loss": 1.16659, "time": 0.30297} -{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 0.85412, "decode.acc_seg": 58.82062, "aux.loss_seg": 0.39996, "aux.acc_seg": 57.15897, "loss": 1.25408, "time": 0.30266} -{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 17798, "data_time": 0.00514, "decode.loss_seg": 0.81913, "decode.acc_seg": 58.17959, "aux.loss_seg": 0.38767, "aux.acc_seg": 55.98954, "loss": 1.2068, "time": 0.30325} -{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 17798, "data_time": 0.15833, "decode.loss_seg": 0.75448, "decode.acc_seg": 60.51678, "aux.loss_seg": 0.36231, "aux.acc_seg": 58.29872, "loss": 1.11679, "time": 0.4637} -{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 0.78636, "decode.acc_seg": 58.9593, "aux.loss_seg": 0.36954, "aux.acc_seg": 57.28621, "loss": 1.1559, "time": 0.3022} -{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 17798, "data_time": 0.00537, "decode.loss_seg": 0.73235, "decode.acc_seg": 59.9474, "aux.loss_seg": 0.35126, "aux.acc_seg": 57.68202, "loss": 1.08361, "time": 0.30388} -{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 17798, "data_time": 0.00515, "decode.loss_seg": 0.73971, "decode.acc_seg": 60.83684, "aux.loss_seg": 0.35377, "aux.acc_seg": 58.61152, "loss": 1.09348, "time": 0.30425} -{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 17798, "data_time": 0.00519, "decode.loss_seg": 0.70206, "decode.acc_seg": 60.09123, "aux.loss_seg": 0.33432, "aux.acc_seg": 58.24062, "loss": 1.03638, "time": 0.307} -{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 17798, "data_time": 0.00508, "decode.loss_seg": 0.73368, "decode.acc_seg": 61.32335, "aux.loss_seg": 0.34619, "aux.acc_seg": 59.61451, "loss": 1.07988, "time": 0.30516} -{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 17798, "data_time": 0.00506, "decode.loss_seg": 0.78723, "decode.acc_seg": 58.89427, "aux.loss_seg": 0.36716, "aux.acc_seg": 57.10219, "loss": 1.15439, "time": 0.30533} -{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 17798, "data_time": 0.00486, "decode.loss_seg": 0.73661, "decode.acc_seg": 60.97077, "aux.loss_seg": 0.34826, "aux.acc_seg": 58.91133, "loss": 1.08487, "time": 0.30557} -{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 0.7894, "decode.acc_seg": 60.07454, "aux.loss_seg": 0.36934, "aux.acc_seg": 58.28509, "loss": 1.15874, "time": 0.30604} -{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 17798, "data_time": 0.00494, "decode.loss_seg": 0.70405, "decode.acc_seg": 62.43927, "aux.loss_seg": 0.3304, "aux.acc_seg": 60.73001, "loss": 1.03444, "time": 0.30582} -{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 17798, "data_time": 0.00494, "decode.loss_seg": 0.77512, "decode.acc_seg": 59.6609, "aux.loss_seg": 0.36081, "aux.acc_seg": 57.88463, "loss": 1.13593, "time": 0.30468} -{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 17798, "data_time": 0.0049, "decode.loss_seg": 0.73562, "decode.acc_seg": 60.03286, "aux.loss_seg": 0.34378, "aux.acc_seg": 58.17998, "loss": 1.0794, "time": 0.30464} -{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 17798, "data_time": 0.00497, "decode.loss_seg": 0.74111, "decode.acc_seg": 59.1244, "aux.loss_seg": 0.34414, "aux.acc_seg": 57.35848, "loss": 1.08524, "time": 0.30278} -{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 17798, "data_time": 0.00483, "decode.loss_seg": 0.75356, "decode.acc_seg": 60.61815, "aux.loss_seg": 0.35059, "aux.acc_seg": 58.9476, "loss": 1.10415, "time": 0.30283} -{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 17798, "data_time": 0.00489, "decode.loss_seg": 0.70472, "decode.acc_seg": 60.37565, "aux.loss_seg": 0.32819, "aux.acc_seg": 58.55943, "loss": 1.03291, "time": 0.30227} -{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 17798, "data_time": 0.0047, "decode.loss_seg": 0.73774, "decode.acc_seg": 60.34655, "aux.loss_seg": 0.34398, "aux.acc_seg": 58.5203, "loss": 1.08171, "time": 0.3022} -{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 17798, "data_time": 0.00468, "decode.loss_seg": 0.71579, "decode.acc_seg": 61.10397, "aux.loss_seg": 0.32838, "aux.acc_seg": 59.82336, "loss": 1.04417, "time": 0.30344} -{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 17798, "data_time": 0.00473, "decode.loss_seg": 0.71721, "decode.acc_seg": 61.28198, "aux.loss_seg": 0.33413, "aux.acc_seg": 59.20949, "loss": 1.05134, "time": 0.30277} -{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 17798, "data_time": 0.00475, "decode.loss_seg": 0.68154, "decode.acc_seg": 59.24303, "aux.loss_seg": 0.31675, "aux.acc_seg": 57.75112, "loss": 0.99829, "time": 0.30249} -{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 17798, "data_time": 0.00478, "decode.loss_seg": 0.74317, "decode.acc_seg": 59.99651, "aux.loss_seg": 0.34416, "aux.acc_seg": 58.05318, "loss": 1.08733, "time": 0.30276} -{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.71546, "decode.acc_seg": 60.06309, "aux.loss_seg": 0.32996, "aux.acc_seg": 58.64837, "loss": 1.04542, "time": 0.30363} -{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.69923, "decode.acc_seg": 62.03631, "aux.loss_seg": 0.3236, "aux.acc_seg": 60.54966, "loss": 1.02282, "time": 0.30264} -{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 17798, "data_time": 0.00532, "decode.loss_seg": 0.75905, "decode.acc_seg": 59.52026, "aux.loss_seg": 0.34479, "aux.acc_seg": 57.91088, "loss": 1.10384, "time": 0.30225} -{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.70874, "decode.acc_seg": 59.05666, "aux.loss_seg": 0.32122, "aux.acc_seg": 57.67312, "loss": 1.02996, "time": 0.30211} -{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.67613, "decode.acc_seg": 60.8616, "aux.loss_seg": 0.32007, "aux.acc_seg": 58.84966, "loss": 0.9962, "time": 0.30205} -{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.72444, "decode.acc_seg": 60.89968, "aux.loss_seg": 0.33036, "aux.acc_seg": 59.44827, "loss": 1.0548, "time": 0.30182} -{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 17798, "data_time": 0.14265, "decode.loss_seg": 0.67191, "decode.acc_seg": 60.9326, "aux.loss_seg": 0.31024, "aux.acc_seg": 59.66312, "loss": 0.98215, "time": 0.46601} -{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 17798, "data_time": 0.00488, "decode.loss_seg": 0.66525, "decode.acc_seg": 61.76257, "aux.loss_seg": 0.30687, "aux.acc_seg": 60.48194, "loss": 0.97212, "time": 0.30103} -{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.68322, "decode.acc_seg": 62.21715, "aux.loss_seg": 0.31347, "aux.acc_seg": 60.67386, "loss": 0.99669, "time": 0.30174} -{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.63894, "decode.acc_seg": 62.7008, "aux.loss_seg": 0.29985, "aux.acc_seg": 60.84063, "loss": 0.93879, "time": 0.30092} -{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 17798, "data_time": 0.00558, "decode.loss_seg": 0.7209, "decode.acc_seg": 59.7503, "aux.loss_seg": 0.32671, "aux.acc_seg": 58.28251, "loss": 1.0476, "time": 0.30143} -{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.67592, "decode.acc_seg": 59.50415, "aux.loss_seg": 0.31216, "aux.acc_seg": 57.97824, "loss": 0.98807, "time": 0.30219} -{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.67274, "decode.acc_seg": 61.86394, "aux.loss_seg": 0.30968, "aux.acc_seg": 60.6534, "loss": 0.98242, "time": 0.30158} -{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.72798, "decode.acc_seg": 62.53065, "aux.loss_seg": 0.32993, "aux.acc_seg": 61.16896, "loss": 1.05791, "time": 0.30258} -{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.66523, "decode.acc_seg": 62.47672, "aux.loss_seg": 0.30396, "aux.acc_seg": 61.12428, "loss": 0.96919, "time": 0.30169} -{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 17798, "data_time": 0.00541, "decode.loss_seg": 0.6943, "decode.acc_seg": 61.90989, "aux.loss_seg": 0.32034, "aux.acc_seg": 60.18016, "loss": 1.01464, "time": 0.30182} -{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 17798, "data_time": 0.00542, "decode.loss_seg": 0.65874, "decode.acc_seg": 60.3569, "aux.loss_seg": 0.30063, "aux.acc_seg": 59.30368, "loss": 0.95937, "time": 0.30144} -{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 17798, "data_time": 0.00539, "decode.loss_seg": 0.6931, "decode.acc_seg": 61.63454, "aux.loss_seg": 0.31382, "aux.acc_seg": 60.43401, "loss": 1.00692, "time": 0.30259} -{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.67488, "decode.acc_seg": 61.74559, "aux.loss_seg": 0.3068, "aux.acc_seg": 59.99169, "loss": 0.98168, "time": 0.3018} -{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.71629, "decode.acc_seg": 60.0881, "aux.loss_seg": 0.31911, "aux.acc_seg": 58.78382, "loss": 1.0354, "time": 0.30244} -{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.6799, "decode.acc_seg": 59.63329, "aux.loss_seg": 0.30564, "aux.acc_seg": 58.63443, "loss": 0.98555, "time": 0.30164} -{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 0.70759, "decode.acc_seg": 61.19499, "aux.loss_seg": 0.3205, "aux.acc_seg": 59.95046, "loss": 1.02809, "time": 0.30182} -{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 17798, "data_time": 0.00568, "decode.loss_seg": 0.67731, "decode.acc_seg": 60.60507, "aux.loss_seg": 0.3065, "aux.acc_seg": 59.3147, "loss": 0.98381, "time": 0.3021} -{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.66083, "decode.acc_seg": 61.30518, "aux.loss_seg": 0.29627, "aux.acc_seg": 60.42458, "loss": 0.95711, "time": 0.30183} -{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 17798, "data_time": 0.0055, "decode.loss_seg": 0.71065, "decode.acc_seg": 60.48047, "aux.loss_seg": 0.31815, "aux.acc_seg": 59.00845, "loss": 1.0288, "time": 0.30151} -{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.66117, "decode.acc_seg": 61.6488, "aux.loss_seg": 0.29932, "aux.acc_seg": 60.0749, "loss": 0.96048, "time": 0.3013} -{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.63933, "decode.acc_seg": 62.24835, "aux.loss_seg": 0.29241, "aux.acc_seg": 60.823, "loss": 0.93175, "time": 0.30142} -{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.66366, "decode.acc_seg": 59.85693, "aux.loss_seg": 0.30178, "aux.acc_seg": 58.49411, "loss": 0.96544, "time": 0.30367} -{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.68731, "decode.acc_seg": 60.20446, "aux.loss_seg": 0.31115, "aux.acc_seg": 58.79755, "loss": 0.99846, "time": 0.30133} -{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 17798, "data_time": 0.00511, "decode.loss_seg": 0.63808, "decode.acc_seg": 60.82674, "aux.loss_seg": 0.28871, "aux.acc_seg": 59.44779, "loss": 0.9268, "time": 0.30223} -{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 17798, "data_time": 0.00521, "decode.loss_seg": 0.68893, "decode.acc_seg": 60.87632, "aux.loss_seg": 0.30699, "aux.acc_seg": 59.94372, "loss": 0.99592, "time": 0.30261} -{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 17798, "data_time": 0.14013, "decode.loss_seg": 0.64639, "decode.acc_seg": 62.69541, "aux.loss_seg": 0.29699, "aux.acc_seg": 61.30234, "loss": 0.94338, "time": 0.46552} -{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 17798, "data_time": 0.00554, "decode.loss_seg": 0.65011, "decode.acc_seg": 63.68989, "aux.loss_seg": 0.29579, "aux.acc_seg": 61.9309, "loss": 0.94589, "time": 0.30314} -{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.62644, "decode.acc_seg": 61.72982, "aux.loss_seg": 0.28848, "aux.acc_seg": 60.20403, "loss": 0.91491, "time": 0.30224} -{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.58824, "decode.acc_seg": 63.26967, "aux.loss_seg": 0.26767, "aux.acc_seg": 61.74168, "loss": 0.8559, "time": 0.30395} -{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.64736, "decode.acc_seg": 63.58082, "aux.loss_seg": 0.29306, "aux.acc_seg": 61.95056, "loss": 0.94041, "time": 0.30344} -{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 17798, "data_time": 0.00537, "decode.loss_seg": 0.6306, "decode.acc_seg": 62.83424, "aux.loss_seg": 0.28997, "aux.acc_seg": 61.17947, "loss": 0.92057, "time": 0.30269} -{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 17798, "data_time": 0.00549, "decode.loss_seg": 0.66841, "decode.acc_seg": 62.46309, "aux.loss_seg": 0.3038, "aux.acc_seg": 61.09666, "loss": 0.97221, "time": 0.30199} -{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.64797, "decode.acc_seg": 61.35458, "aux.loss_seg": 0.28987, "aux.acc_seg": 60.23391, "loss": 0.93784, "time": 0.30232} -{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 17798, "data_time": 0.00512, "decode.loss_seg": 0.62255, "decode.acc_seg": 61.57439, "aux.loss_seg": 0.27991, "aux.acc_seg": 60.20894, "loss": 0.90246, "time": 0.30245} -{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 17798, "data_time": 0.00513, "decode.loss_seg": 0.65961, "decode.acc_seg": 62.4672, "aux.loss_seg": 0.29952, "aux.acc_seg": 61.06428, "loss": 0.95913, "time": 0.30152} -{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.6559, "decode.acc_seg": 62.101, "aux.loss_seg": 0.29741, "aux.acc_seg": 60.5779, "loss": 0.95331, "time": 0.30239} -{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 17798, "data_time": 0.00557, "decode.loss_seg": 0.63612, "decode.acc_seg": 62.13565, "aux.loss_seg": 0.28872, "aux.acc_seg": 60.7584, "loss": 0.92484, "time": 0.30184} -{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.63, "decode.acc_seg": 62.72446, "aux.loss_seg": 0.28367, "aux.acc_seg": 61.32137, "loss": 0.91368, "time": 0.30193} -{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.63442, "decode.acc_seg": 61.98473, "aux.loss_seg": 0.28384, "aux.acc_seg": 60.73212, "loss": 0.91825, "time": 0.30184} -{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 17798, "data_time": 0.00554, "decode.loss_seg": 0.63918, "decode.acc_seg": 61.86354, "aux.loss_seg": 0.28584, "aux.acc_seg": 60.51826, "loss": 0.92502, "time": 0.30221} -{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.65771, "decode.acc_seg": 60.95587, "aux.loss_seg": 0.29142, "aux.acc_seg": 59.82434, "loss": 0.94913, "time": 0.30276} -{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 17798, "data_time": 0.00557, "decode.loss_seg": 0.65381, "decode.acc_seg": 61.13432, "aux.loss_seg": 0.29059, "aux.acc_seg": 59.62014, "loss": 0.9444, "time": 0.30296} -{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.64471, "decode.acc_seg": 62.25043, "aux.loss_seg": 0.2918, "aux.acc_seg": 60.69655, "loss": 0.93651, "time": 0.30252} -{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.63424, "decode.acc_seg": 63.67701, "aux.loss_seg": 0.28207, "aux.acc_seg": 62.66145, "loss": 0.91631, "time": 0.30248} -{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.6089, "decode.acc_seg": 61.29832, "aux.loss_seg": 0.27372, "aux.acc_seg": 60.03822, "loss": 0.88262, "time": 0.30247} -{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.64453, "decode.acc_seg": 61.65613, "aux.loss_seg": 0.28682, "aux.acc_seg": 60.60489, "loss": 0.93134, "time": 0.3029} -{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 17798, "data_time": 0.00541, "decode.loss_seg": 0.59885, "decode.acc_seg": 64.03864, "aux.loss_seg": 0.26842, "aux.acc_seg": 62.88435, "loss": 0.86727, "time": 0.30224} -{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 17798, "data_time": 0.00548, "decode.loss_seg": 0.58813, "decode.acc_seg": 63.03864, "aux.loss_seg": 0.2607, "aux.acc_seg": 62.13429, "loss": 0.84883, "time": 0.3022} -{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 17798, "data_time": 0.00571, "decode.loss_seg": 0.60718, "decode.acc_seg": 62.092, "aux.loss_seg": 0.26934, "aux.acc_seg": 60.97535, "loss": 0.87652, "time": 0.3021} -{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 17798, "data_time": 0.00594, "decode.loss_seg": 0.63357, "decode.acc_seg": 61.78018, "aux.loss_seg": 0.2855, "aux.acc_seg": 60.36196, "loss": 0.91907, "time": 0.30229} -{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 17798, "data_time": 0.14464, "decode.loss_seg": 0.62622, "decode.acc_seg": 61.62182, "aux.loss_seg": 0.27807, "aux.acc_seg": 60.31453, "loss": 0.90429, "time": 0.46411} -{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 17798, "data_time": 0.00477, "decode.loss_seg": 0.60395, "decode.acc_seg": 64.4687, "aux.loss_seg": 0.2725, "aux.acc_seg": 63.03183, "loss": 0.87645, "time": 0.3021} -{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 17798, "data_time": 0.00479, "decode.loss_seg": 0.61004, "decode.acc_seg": 63.23706, "aux.loss_seg": 0.27504, "aux.acc_seg": 62.11045, "loss": 0.88508, "time": 0.30082} -{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 17798, "data_time": 0.00465, "decode.loss_seg": 0.5862, "decode.acc_seg": 62.51144, "aux.loss_seg": 0.26578, "aux.acc_seg": 61.23439, "loss": 0.85198, "time": 0.30101} -{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 17798, "data_time": 0.00445, "decode.loss_seg": 0.58805, "decode.acc_seg": 62.91086, "aux.loss_seg": 0.26439, "aux.acc_seg": 61.82862, "loss": 0.85244, "time": 0.30047} -{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 17798, "data_time": 0.00457, "decode.loss_seg": 0.62249, "decode.acc_seg": 62.92133, "aux.loss_seg": 0.27704, "aux.acc_seg": 61.70441, "loss": 0.89953, "time": 0.30016} -{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 17798, "data_time": 0.00448, "decode.loss_seg": 0.61389, "decode.acc_seg": 62.11241, "aux.loss_seg": 0.27749, "aux.acc_seg": 60.92893, "loss": 0.89138, "time": 0.30043} -{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 17798, "data_time": 0.00449, "decode.loss_seg": 0.62881, "decode.acc_seg": 62.96488, "aux.loss_seg": 0.27946, "aux.acc_seg": 61.63575, "loss": 0.90827, "time": 0.30037} -{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 17798, "data_time": 0.00463, "decode.loss_seg": 0.62396, "decode.acc_seg": 62.95177, "aux.loss_seg": 0.27562, "aux.acc_seg": 62.17211, "loss": 0.89958, "time": 0.3018} -{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 17798, "data_time": 0.00472, "decode.loss_seg": 0.61112, "decode.acc_seg": 62.44582, "aux.loss_seg": 0.27205, "aux.acc_seg": 61.29626, "loss": 0.88317, "time": 0.30123} -{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 17798, "data_time": 0.00491, "decode.loss_seg": 0.57827, "decode.acc_seg": 63.39291, "aux.loss_seg": 0.25779, "aux.acc_seg": 62.04643, "loss": 0.83605, "time": 0.30147} -{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 17798, "data_time": 0.00486, "decode.loss_seg": 0.64219, "decode.acc_seg": 61.5389, "aux.loss_seg": 0.28176, "aux.acc_seg": 60.70722, "loss": 0.92395, "time": 0.30044} -{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 17798, "data_time": 0.00485, "decode.loss_seg": 0.57061, "decode.acc_seg": 64.64807, "aux.loss_seg": 0.25803, "aux.acc_seg": 63.26171, "loss": 0.82864, "time": 0.30124} -{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 17798, "data_time": 0.00478, "decode.loss_seg": 0.5934, "decode.acc_seg": 62.87086, "aux.loss_seg": 0.26618, "aux.acc_seg": 61.58574, "loss": 0.85957, "time": 0.3019} -{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 17798, "data_time": 0.00499, "decode.loss_seg": 0.58771, "decode.acc_seg": 63.1029, "aux.loss_seg": 0.26334, "aux.acc_seg": 61.87915, "loss": 0.85105, "time": 0.30164} -{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 17798, "data_time": 0.00501, "decode.loss_seg": 0.61684, "decode.acc_seg": 62.30406, "aux.loss_seg": 0.2754, "aux.acc_seg": 61.13641, "loss": 0.89223, "time": 0.30127} -{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 17798, "data_time": 0.00491, "decode.loss_seg": 0.60552, "decode.acc_seg": 63.32152, "aux.loss_seg": 0.26682, "aux.acc_seg": 62.0524, "loss": 0.87234, "time": 0.30097} -{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 17798, "data_time": 0.00493, "decode.loss_seg": 0.58538, "decode.acc_seg": 63.17049, "aux.loss_seg": 0.26197, "aux.acc_seg": 61.95282, "loss": 0.84735, "time": 0.30185} -{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 17798, "data_time": 0.00495, "decode.loss_seg": 0.58172, "decode.acc_seg": 63.5693, "aux.loss_seg": 0.26191, "aux.acc_seg": 62.14602, "loss": 0.84363, "time": 0.30192} -{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 0.60861, "decode.acc_seg": 62.94692, "aux.loss_seg": 0.27234, "aux.acc_seg": 61.80332, "loss": 0.88094, "time": 0.30096} -{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 17798, "data_time": 0.00494, "decode.loss_seg": 0.62766, "decode.acc_seg": 62.02122, "aux.loss_seg": 0.27746, "aux.acc_seg": 61.00801, "loss": 0.90513, "time": 0.30094} -{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 17798, "data_time": 0.00497, "decode.loss_seg": 0.60785, "decode.acc_seg": 63.2096, "aux.loss_seg": 0.27132, "aux.acc_seg": 62.1973, "loss": 0.87917, "time": 0.30062} -{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 0.59994, "decode.acc_seg": 62.42989, "aux.loss_seg": 0.26774, "aux.acc_seg": 61.14711, "loss": 0.86768, "time": 0.30134} -{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 17798, "data_time": 0.00504, "decode.loss_seg": 0.5974, "decode.acc_seg": 64.35111, "aux.loss_seg": 0.2679, "aux.acc_seg": 63.15302, "loss": 0.8653, "time": 0.30112} -{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 0.61058, "decode.acc_seg": 61.76967, "aux.loss_seg": 0.27213, "aux.acc_seg": 60.46038, "loss": 0.88271, "time": 0.30145} -{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 17798, "data_time": 0.14481, "decode.loss_seg": 0.58917, "decode.acc_seg": 63.1736, "aux.loss_seg": 0.26073, "aux.acc_seg": 61.9592, "loss": 0.84991, "time": 0.46503} -{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.56608, "decode.acc_seg": 63.10185, "aux.loss_seg": 0.2542, "aux.acc_seg": 62.1103, "loss": 0.82028, "time": 0.30203} -{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 17798, "data_time": 0.00544, "decode.loss_seg": 0.58692, "decode.acc_seg": 64.5716, "aux.loss_seg": 0.2636, "aux.acc_seg": 63.30358, "loss": 0.85053, "time": 0.30053} -{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 17798, "data_time": 0.00484, "decode.loss_seg": 0.56786, "decode.acc_seg": 62.99162, "aux.loss_seg": 0.25532, "aux.acc_seg": 61.66409, "loss": 0.82318, "time": 0.30095} -{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 17798, "data_time": 0.0048, "decode.loss_seg": 0.55494, "decode.acc_seg": 64.48483, "aux.loss_seg": 0.24667, "aux.acc_seg": 63.14472, "loss": 0.80161, "time": 0.3003} -{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 17798, "data_time": 0.00483, "decode.loss_seg": 0.57163, "decode.acc_seg": 63.24248, "aux.loss_seg": 0.2568, "aux.acc_seg": 61.97253, "loss": 0.82843, "time": 0.30066} -{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 17798, "data_time": 0.00495, "decode.loss_seg": 0.52688, "decode.acc_seg": 66.2816, "aux.loss_seg": 0.23582, "aux.acc_seg": 64.96986, "loss": 0.7627, "time": 0.30079} -{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 17798, "data_time": 0.00513, "decode.loss_seg": 0.59071, "decode.acc_seg": 63.48873, "aux.loss_seg": 0.26778, "aux.acc_seg": 62.07291, "loss": 0.85849, "time": 0.30095} -{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 17798, "data_time": 0.00518, "decode.loss_seg": 0.58962, "decode.acc_seg": 63.96441, "aux.loss_seg": 0.25984, "aux.acc_seg": 63.07548, "loss": 0.84946, "time": 0.30114} -{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 17798, "data_time": 0.00505, "decode.loss_seg": 0.54498, "decode.acc_seg": 65.31375, "aux.loss_seg": 0.24178, "aux.acc_seg": 64.22747, "loss": 0.78676, "time": 0.30156} -{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 17798, "data_time": 0.00534, "decode.loss_seg": 0.58115, "decode.acc_seg": 63.10473, "aux.loss_seg": 0.25903, "aux.acc_seg": 62.15206, "loss": 0.84019, "time": 0.30059} -{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.58007, "decode.acc_seg": 63.64898, "aux.loss_seg": 0.25966, "aux.acc_seg": 62.46383, "loss": 0.83973, "time": 0.30151} -{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.59817, "decode.acc_seg": 62.42653, "aux.loss_seg": 0.26043, "aux.acc_seg": 61.4812, "loss": 0.8586, "time": 0.30102} -{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 17798, "data_time": 0.00519, "decode.loss_seg": 0.55225, "decode.acc_seg": 63.60921, "aux.loss_seg": 0.2459, "aux.acc_seg": 62.4713, "loss": 0.79815, "time": 0.30137} -{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.57357, "decode.acc_seg": 64.44073, "aux.loss_seg": 0.25558, "aux.acc_seg": 63.07343, "loss": 0.82915, "time": 0.30239} -{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 0.60729, "decode.acc_seg": 64.33237, "aux.loss_seg": 0.26644, "aux.acc_seg": 63.58149, "loss": 0.87373, "time": 0.30183} -{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 17798, "data_time": 0.00585, "decode.loss_seg": 0.59885, "decode.acc_seg": 63.04112, "aux.loss_seg": 0.26274, "aux.acc_seg": 62.26548, "loss": 0.8616, "time": 0.30182} -{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 17798, "data_time": 0.00562, "decode.loss_seg": 0.58733, "decode.acc_seg": 63.59214, "aux.loss_seg": 0.26137, "aux.acc_seg": 62.35158, "loss": 0.84871, "time": 0.30119} -{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.61673, "decode.acc_seg": 63.99055, "aux.loss_seg": 0.27404, "aux.acc_seg": 62.71829, "loss": 0.89077, "time": 0.30101} -{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.59312, "decode.acc_seg": 64.42118, "aux.loss_seg": 0.26199, "aux.acc_seg": 63.20569, "loss": 0.85511, "time": 0.3008} -{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 0.56779, "decode.acc_seg": 64.50654, "aux.loss_seg": 0.25329, "aux.acc_seg": 63.5876, "loss": 0.82108, "time": 0.30012} -{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 17798, "data_time": 0.00569, "decode.loss_seg": 0.557, "decode.acc_seg": 62.81511, "aux.loss_seg": 0.2471, "aux.acc_seg": 61.6447, "loss": 0.8041, "time": 0.29976} -{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 17798, "data_time": 0.00582, "decode.loss_seg": 0.5829, "decode.acc_seg": 64.40248, "aux.loss_seg": 0.25746, "aux.acc_seg": 63.53047, "loss": 0.84036, "time": 0.30128} -{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 17798, "data_time": 0.00596, "decode.loss_seg": 0.55376, "decode.acc_seg": 62.48585, "aux.loss_seg": 0.24897, "aux.acc_seg": 61.06094, "loss": 0.80273, "time": 0.3018} -{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 17798, "data_time": 0.00607, "decode.loss_seg": 0.57731, "decode.acc_seg": 62.88986, "aux.loss_seg": 0.25717, "aux.acc_seg": 61.72292, "loss": 0.83448, "time": 0.30097} -{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 17798, "data_time": 0.00593, "decode.loss_seg": 0.59861, "decode.acc_seg": 64.61081, "aux.loss_seg": 0.26667, "aux.acc_seg": 63.26, "loss": 0.86528, "time": 0.30058} -{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 17798, "data_time": 0.14175, "decode.loss_seg": 0.53491, "decode.acc_seg": 65.74517, "aux.loss_seg": 0.23822, "aux.acc_seg": 64.81275, "loss": 0.77313, "time": 0.46807} -{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 17798, "data_time": 0.00507, "decode.loss_seg": 0.54637, "decode.acc_seg": 65.23321, "aux.loss_seg": 0.24751, "aux.acc_seg": 63.85621, "loss": 0.79388, "time": 0.3041} -{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.55733, "decode.acc_seg": 64.18631, "aux.loss_seg": 0.25173, "aux.acc_seg": 62.97665, "loss": 0.80905, "time": 0.30149} -{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 17798, "data_time": 0.00534, "decode.loss_seg": 0.53649, "decode.acc_seg": 64.41443, "aux.loss_seg": 0.24195, "aux.acc_seg": 63.18414, "loss": 0.77844, "time": 0.30131} -{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 17798, "data_time": 0.00545, "decode.loss_seg": 0.52624, "decode.acc_seg": 65.55171, "aux.loss_seg": 0.23738, "aux.acc_seg": 64.27468, "loss": 0.76361, "time": 0.30076} -{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 0.55219, "decode.acc_seg": 62.99036, "aux.loss_seg": 0.24857, "aux.acc_seg": 61.77597, "loss": 0.80076, "time": 0.30081} -{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.54918, "decode.acc_seg": 63.37751, "aux.loss_seg": 0.24153, "aux.acc_seg": 62.46937, "loss": 0.79071, "time": 0.30177} -{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 17798, "data_time": 0.00532, "decode.loss_seg": 0.59107, "decode.acc_seg": 64.06436, "aux.loss_seg": 0.26084, "aux.acc_seg": 62.82327, "loss": 0.85191, "time": 0.3018} -{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 17798, "data_time": 0.00548, "decode.loss_seg": 0.53726, "decode.acc_seg": 64.87805, "aux.loss_seg": 0.23761, "aux.acc_seg": 64.01543, "loss": 0.77487, "time": 0.30347} -{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.54567, "decode.acc_seg": 64.26801, "aux.loss_seg": 0.24394, "aux.acc_seg": 63.06104, "loss": 0.78961, "time": 0.30179} -{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 0.569, "decode.acc_seg": 64.83595, "aux.loss_seg": 0.2516, "aux.acc_seg": 63.76467, "loss": 0.82061, "time": 0.3025} -{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.55381, "decode.acc_seg": 64.77461, "aux.loss_seg": 0.24865, "aux.acc_seg": 63.72622, "loss": 0.80246, "time": 0.30155} -{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 17798, "data_time": 0.00548, "decode.loss_seg": 0.59277, "decode.acc_seg": 64.30296, "aux.loss_seg": 0.26273, "aux.acc_seg": 63.24226, "loss": 0.85551, "time": 0.30106} -{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.56507, "decode.acc_seg": 63.10417, "aux.loss_seg": 0.25056, "aux.acc_seg": 62.02672, "loss": 0.81564, "time": 0.30151} -{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 17798, "data_time": 0.0051, "decode.loss_seg": 0.5326, "decode.acc_seg": 65.71154, "aux.loss_seg": 0.23884, "aux.acc_seg": 64.42623, "loss": 0.77143, "time": 0.30057} -{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 17798, "data_time": 0.0053, "decode.loss_seg": 0.53115, "decode.acc_seg": 64.61053, "aux.loss_seg": 0.23696, "aux.acc_seg": 63.3873, "loss": 0.76811, "time": 0.3024} -{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.54591, "decode.acc_seg": 63.93498, "aux.loss_seg": 0.24255, "aux.acc_seg": 62.7837, "loss": 0.78847, "time": 0.30327} -{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 17798, "data_time": 0.00503, "decode.loss_seg": 0.54398, "decode.acc_seg": 64.40721, "aux.loss_seg": 0.24222, "aux.acc_seg": 63.39045, "loss": 0.78621, "time": 0.30029} -{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 17798, "data_time": 0.00504, "decode.loss_seg": 0.56968, "decode.acc_seg": 64.82624, "aux.loss_seg": 0.25394, "aux.acc_seg": 63.48719, "loss": 0.82362, "time": 0.30161} -{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 17798, "data_time": 0.00499, "decode.loss_seg": 0.55526, "decode.acc_seg": 63.6025, "aux.loss_seg": 0.24444, "aux.acc_seg": 62.50021, "loss": 0.7997, "time": 0.30123} -{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 17798, "data_time": 0.00507, "decode.loss_seg": 0.51862, "decode.acc_seg": 64.75753, "aux.loss_seg": 0.23185, "aux.acc_seg": 63.72223, "loss": 0.75047, "time": 0.30096} -{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 17798, "data_time": 0.00496, "decode.loss_seg": 0.5488, "decode.acc_seg": 64.29303, "aux.loss_seg": 0.24612, "aux.acc_seg": 62.8505, "loss": 0.79492, "time": 0.30195} -{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 17798, "data_time": 0.00506, "decode.loss_seg": 0.56766, "decode.acc_seg": 63.04054, "aux.loss_seg": 0.24926, "aux.acc_seg": 62.33916, "loss": 0.81692, "time": 0.30148} -{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 17798, "data_time": 0.00512, "decode.loss_seg": 0.55277, "decode.acc_seg": 62.99917, "aux.loss_seg": 0.24109, "aux.acc_seg": 62.01752, "loss": 0.79387, "time": 0.30152} -{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 17798, "data_time": 0.00495, "decode.loss_seg": 0.545, "decode.acc_seg": 64.64883, "aux.loss_seg": 0.24407, "aux.acc_seg": 63.14672, "loss": 0.78908, "time": 0.30198} -{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 17798, "data_time": 0.15244, "decode.loss_seg": 0.53648, "decode.acc_seg": 63.9264, "aux.loss_seg": 0.2392, "aux.acc_seg": 62.76444, "loss": 0.77568, "time": 0.46965} -{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 17798, "data_time": 0.00497, "decode.loss_seg": 0.56286, "decode.acc_seg": 65.12853, "aux.loss_seg": 0.24957, "aux.acc_seg": 63.79837, "loss": 0.81243, "time": 0.30118} -{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 17798, "data_time": 0.0049, "decode.loss_seg": 0.51579, "decode.acc_seg": 64.97732, "aux.loss_seg": 0.23139, "aux.acc_seg": 63.7551, "loss": 0.74719, "time": 0.30097} -{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 17798, "data_time": 0.00492, "decode.loss_seg": 0.51861, "decode.acc_seg": 66.55488, "aux.loss_seg": 0.23138, "aux.acc_seg": 65.34514, "loss": 0.74999, "time": 0.30068} -{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.51159, "decode.acc_seg": 64.52107, "aux.loss_seg": 0.22753, "aux.acc_seg": 63.44509, "loss": 0.73912, "time": 0.30007} -{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 17798, "data_time": 0.00525, "decode.loss_seg": 0.47629, "decode.acc_seg": 65.21924, "aux.loss_seg": 0.21485, "aux.acc_seg": 63.92024, "loss": 0.69114, "time": 0.29996} -{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.53423, "decode.acc_seg": 64.63935, "aux.loss_seg": 0.23681, "aux.acc_seg": 63.78907, "loss": 0.77104, "time": 0.30024} -{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 17798, "data_time": 0.00516, "decode.loss_seg": 0.54273, "decode.acc_seg": 65.28382, "aux.loss_seg": 0.24339, "aux.acc_seg": 64.16195, "loss": 0.78612, "time": 0.30051} -{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.55502, "decode.acc_seg": 65.14189, "aux.loss_seg": 0.24665, "aux.acc_seg": 64.14016, "loss": 0.80167, "time": 0.30009} -{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.50179, "decode.acc_seg": 64.9477, "aux.loss_seg": 0.22593, "aux.acc_seg": 63.73505, "loss": 0.72772, "time": 0.30069} -{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 17798, "data_time": 0.00531, "decode.loss_seg": 0.53211, "decode.acc_seg": 64.11298, "aux.loss_seg": 0.2372, "aux.acc_seg": 62.81808, "loss": 0.76932, "time": 0.30156} -{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 17798, "data_time": 0.00515, "decode.loss_seg": 0.50495, "decode.acc_seg": 65.64936, "aux.loss_seg": 0.22579, "aux.acc_seg": 64.67585, "loss": 0.73073, "time": 0.30091} -{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.54269, "decode.acc_seg": 65.06159, "aux.loss_seg": 0.24316, "aux.acc_seg": 63.66928, "loss": 0.78585, "time": 0.30023} -{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 17798, "data_time": 0.00517, "decode.loss_seg": 0.52334, "decode.acc_seg": 64.13023, "aux.loss_seg": 0.23446, "aux.acc_seg": 62.66617, "loss": 0.75779, "time": 0.30046} -{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 17798, "data_time": 0.00522, "decode.loss_seg": 0.51252, "decode.acc_seg": 65.61693, "aux.loss_seg": 0.22992, "aux.acc_seg": 64.41498, "loss": 0.74243, "time": 0.29924} -{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 17798, "data_time": 0.00504, "decode.loss_seg": 0.5014, "decode.acc_seg": 65.758, "aux.loss_seg": 0.22816, "aux.acc_seg": 64.33448, "loss": 0.72955, "time": 0.30176} -{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 17798, "data_time": 0.00519, "decode.loss_seg": 0.52873, "decode.acc_seg": 64.4794, "aux.loss_seg": 0.2344, "aux.acc_seg": 63.30418, "loss": 0.76313, "time": 0.30063} -{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 17798, "data_time": 0.00508, "decode.loss_seg": 0.55376, "decode.acc_seg": 64.96925, "aux.loss_seg": 0.24636, "aux.acc_seg": 63.78612, "loss": 0.80012, "time": 0.29942} -{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 17798, "data_time": 0.00515, "decode.loss_seg": 0.58018, "decode.acc_seg": 64.42531, "aux.loss_seg": 0.25645, "aux.acc_seg": 63.49602, "loss": 0.83663, "time": 0.29943} -{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.50992, "decode.acc_seg": 64.85846, "aux.loss_seg": 0.22784, "aux.acc_seg": 63.57706, "loss": 0.73776, "time": 0.29946} -{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 17798, "data_time": 0.0054, "decode.loss_seg": 0.51245, "decode.acc_seg": 64.14274, "aux.loss_seg": 0.22886, "aux.acc_seg": 63.11129, "loss": 0.74131, "time": 0.29965} -{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.49253, "decode.acc_seg": 63.97005, "aux.loss_seg": 0.22111, "aux.acc_seg": 62.77039, "loss": 0.71365, "time": 0.29971} -{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.5248, "decode.acc_seg": 65.57469, "aux.loss_seg": 0.23324, "aux.acc_seg": 64.39203, "loss": 0.75804, "time": 0.3008} -{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 17798, "data_time": 0.00524, "decode.loss_seg": 0.52, "decode.acc_seg": 65.38927, "aux.loss_seg": 0.22904, "aux.acc_seg": 64.28524, "loss": 0.74904, "time": 0.30054} -{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 17798, "data_time": 0.00516, "decode.loss_seg": 0.52849, "decode.acc_seg": 65.13812, "aux.loss_seg": 0.23572, "aux.acc_seg": 64.01351, "loss": 0.76422, "time": 0.30064} -{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 17798, "data_time": 0.1508, "decode.loss_seg": 0.52728, "decode.acc_seg": 65.31714, "aux.loss_seg": 0.23395, "aux.acc_seg": 64.45704, "loss": 0.76123, "time": 0.46496} -{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 17798, "data_time": 0.00547, "decode.loss_seg": 0.48559, "decode.acc_seg": 66.16169, "aux.loss_seg": 0.21749, "aux.acc_seg": 64.93982, "loss": 0.70308, "time": 0.30102} -{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 17798, "data_time": 0.00552, "decode.loss_seg": 0.50319, "decode.acc_seg": 64.64983, "aux.loss_seg": 0.22888, "aux.acc_seg": 63.24785, "loss": 0.73207, "time": 0.30042} -{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.49594, "decode.acc_seg": 65.73467, "aux.loss_seg": 0.22184, "aux.acc_seg": 64.59318, "loss": 0.71778, "time": 0.30052} -{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.49473, "decode.acc_seg": 64.91546, "aux.loss_seg": 0.22355, "aux.acc_seg": 63.74439, "loss": 0.71828, "time": 0.30044} -{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.50698, "decode.acc_seg": 64.48075, "aux.loss_seg": 0.22614, "aux.acc_seg": 63.30209, "loss": 0.73313, "time": 0.30021} -{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 17798, "data_time": 0.00535, "decode.loss_seg": 0.53549, "decode.acc_seg": 64.44777, "aux.loss_seg": 0.24114, "aux.acc_seg": 63.1095, "loss": 0.77663, "time": 0.30003} -{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 17798, "data_time": 0.00536, "decode.loss_seg": 0.52037, "decode.acc_seg": 65.4535, "aux.loss_seg": 0.23593, "aux.acc_seg": 64.19729, "loss": 0.75629, "time": 0.3002} -{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 17798, "data_time": 0.00544, "decode.loss_seg": 0.45011, "decode.acc_seg": 65.28233, "aux.loss_seg": 0.20197, "aux.acc_seg": 64.26156, "loss": 0.65208, "time": 0.30151} -{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 17798, "data_time": 0.00554, "decode.loss_seg": 0.4822, "decode.acc_seg": 64.88565, "aux.loss_seg": 0.21686, "aux.acc_seg": 63.97606, "loss": 0.69906, "time": 0.30334} -{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 17798, "data_time": 0.00567, "decode.loss_seg": 0.5078, "decode.acc_seg": 65.06943, "aux.loss_seg": 0.2263, "aux.acc_seg": 63.70541, "loss": 0.7341, "time": 0.30347} -{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.47551, "decode.acc_seg": 66.6999, "aux.loss_seg": 0.21667, "aux.acc_seg": 65.32934, "loss": 0.69218, "time": 0.30234} -{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 17798, "data_time": 0.00559, "decode.loss_seg": 0.5035, "decode.acc_seg": 64.60983, "aux.loss_seg": 0.22271, "aux.acc_seg": 63.6436, "loss": 0.72622, "time": 0.3009} -{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.51841, "decode.acc_seg": 63.47813, "aux.loss_seg": 0.23004, "aux.acc_seg": 62.60643, "loss": 0.74845, "time": 0.3012} -{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 17798, "data_time": 0.00584, "decode.loss_seg": 0.5274, "decode.acc_seg": 64.87309, "aux.loss_seg": 0.23356, "aux.acc_seg": 63.79627, "loss": 0.76096, "time": 0.30154} -{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 17798, "data_time": 0.00579, "decode.loss_seg": 0.54179, "decode.acc_seg": 64.68042, "aux.loss_seg": 0.23927, "aux.acc_seg": 63.90109, "loss": 0.78106, "time": 0.30092} -{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 17798, "data_time": 0.00581, "decode.loss_seg": 0.48838, "decode.acc_seg": 67.19999, "aux.loss_seg": 0.21905, "aux.acc_seg": 65.99165, "loss": 0.70743, "time": 0.30092} -{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 17798, "data_time": 0.00594, "decode.loss_seg": 0.51676, "decode.acc_seg": 64.3784, "aux.loss_seg": 0.23156, "aux.acc_seg": 63.11725, "loss": 0.74832, "time": 0.30045} -{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 17798, "data_time": 0.00589, "decode.loss_seg": 0.51536, "decode.acc_seg": 64.80347, "aux.loss_seg": 0.22847, "aux.acc_seg": 64.04853, "loss": 0.74383, "time": 0.30133} -{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 17798, "data_time": 0.0057, "decode.loss_seg": 0.50734, "decode.acc_seg": 65.32416, "aux.loss_seg": 0.22261, "aux.acc_seg": 64.36359, "loss": 0.72995, "time": 0.30158} -{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.48581, "decode.acc_seg": 64.28133, "aux.loss_seg": 0.21374, "aux.acc_seg": 63.35978, "loss": 0.69955, "time": 0.3011} -{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.50748, "decode.acc_seg": 64.90645, "aux.loss_seg": 0.2276, "aux.acc_seg": 64.00415, "loss": 0.73508, "time": 0.3009} -{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 17798, "data_time": 0.00569, "decode.loss_seg": 0.50621, "decode.acc_seg": 66.05234, "aux.loss_seg": 0.22587, "aux.acc_seg": 64.77972, "loss": 0.73208, "time": 0.30133} -{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 17798, "data_time": 0.00569, "decode.loss_seg": 0.48588, "decode.acc_seg": 65.91494, "aux.loss_seg": 0.21813, "aux.acc_seg": 64.76894, "loss": 0.70401, "time": 0.30127} -{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 17798, "data_time": 0.00576, "decode.loss_seg": 0.51453, "decode.acc_seg": 65.91845, "aux.loss_seg": 0.22658, "aux.acc_seg": 65.11203, "loss": 0.7411, "time": 0.30168} -{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 17798, "data_time": 0.1432, "decode.loss_seg": 0.5094, "decode.acc_seg": 64.70773, "aux.loss_seg": 0.227, "aux.acc_seg": 63.41099, "loss": 0.73639, "time": 0.46317} -{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 17798, "data_time": 0.0056, "decode.loss_seg": 0.4992, "decode.acc_seg": 66.04078, "aux.loss_seg": 0.22524, "aux.acc_seg": 64.81321, "loss": 0.72444, "time": 0.30026} -{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.48067, "decode.acc_seg": 66.17306, "aux.loss_seg": 0.21421, "aux.acc_seg": 65.08327, "loss": 0.69488, "time": 0.29975} -{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 17798, "data_time": 0.0055, "decode.loss_seg": 0.45806, "decode.acc_seg": 66.13641, "aux.loss_seg": 0.20681, "aux.acc_seg": 64.88941, "loss": 0.66487, "time": 0.30019} -{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 17798, "data_time": 0.00533, "decode.loss_seg": 0.50498, "decode.acc_seg": 65.58439, "aux.loss_seg": 0.22573, "aux.acc_seg": 64.41977, "loss": 0.73071, "time": 0.30159} -{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.49615, "decode.acc_seg": 66.217, "aux.loss_seg": 0.22353, "aux.acc_seg": 64.77533, "loss": 0.71968, "time": 0.30152} -{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 17798, "data_time": 0.00527, "decode.loss_seg": 0.5078, "decode.acc_seg": 64.49013, "aux.loss_seg": 0.22798, "aux.acc_seg": 63.40128, "loss": 0.73578, "time": 0.30041} -{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 17798, "data_time": 0.0055, "decode.loss_seg": 0.48507, "decode.acc_seg": 66.11448, "aux.loss_seg": 0.22061, "aux.acc_seg": 64.86895, "loss": 0.70568, "time": 0.30094} -{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 17798, "data_time": 0.00553, "decode.loss_seg": 0.47076, "decode.acc_seg": 65.4485, "aux.loss_seg": 0.21097, "aux.acc_seg": 64.20408, "loss": 0.68172, "time": 0.30109} -{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 17798, "data_time": 0.00556, "decode.loss_seg": 0.48526, "decode.acc_seg": 64.66767, "aux.loss_seg": 0.21871, "aux.acc_seg": 63.60404, "loss": 0.70397, "time": 0.30089} -{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 17798, "data_time": 0.00551, "decode.loss_seg": 0.47815, "decode.acc_seg": 65.65275, "aux.loss_seg": 0.21452, "aux.acc_seg": 64.56942, "loss": 0.69267, "time": 0.30111} -{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 17798, "data_time": 0.00552, "decode.loss_seg": 0.49166, "decode.acc_seg": 65.23082, "aux.loss_seg": 0.21809, "aux.acc_seg": 64.2269, "loss": 0.70975, "time": 0.30078} -{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.48635, "decode.acc_seg": 66.36723, "aux.loss_seg": 0.21614, "aux.acc_seg": 65.40348, "loss": 0.70249, "time": 0.30089} -{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 17798, "data_time": 0.00578, "decode.loss_seg": 0.5075, "decode.acc_seg": 66.44311, "aux.loss_seg": 0.22416, "aux.acc_seg": 65.52735, "loss": 0.73165, "time": 0.30116} -{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 17798, "data_time": 0.00565, "decode.loss_seg": 0.48062, "decode.acc_seg": 64.46024, "aux.loss_seg": 0.21588, "aux.acc_seg": 63.28904, "loss": 0.69649, "time": 0.30034} -{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 17798, "data_time": 0.00574, "decode.loss_seg": 0.49936, "decode.acc_seg": 64.67448, "aux.loss_seg": 0.22208, "aux.acc_seg": 63.57212, "loss": 0.72144, "time": 0.30068} -{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 17798, "data_time": 0.00557, "decode.loss_seg": 0.50302, "decode.acc_seg": 67.14135, "aux.loss_seg": 0.22421, "aux.acc_seg": 65.87189, "loss": 0.72723, "time": 0.30172} -{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 17798, "data_time": 0.00552, "decode.loss_seg": 0.53118, "decode.acc_seg": 65.23146, "aux.loss_seg": 0.2362, "aux.acc_seg": 63.94141, "loss": 0.76739, "time": 0.3014} -{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 17798, "data_time": 0.00546, "decode.loss_seg": 0.51944, "decode.acc_seg": 66.68078, "aux.loss_seg": 0.22878, "aux.acc_seg": 66.05162, "loss": 0.74822, "time": 0.30033} -{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 17798, "data_time": 0.00538, "decode.loss_seg": 0.50907, "decode.acc_seg": 64.43207, "aux.loss_seg": 0.22557, "aux.acc_seg": 63.51559, "loss": 0.73464, "time": 0.30186} -{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 17798, "data_time": 0.00514, "decode.loss_seg": 0.50699, "decode.acc_seg": 65.74895, "aux.loss_seg": 0.22656, "aux.acc_seg": 64.55417, "loss": 0.73355, "time": 0.30098} -{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 17798, "data_time": 0.00523, "decode.loss_seg": 0.48395, "decode.acc_seg": 65.38245, "aux.loss_seg": 0.21802, "aux.acc_seg": 64.15309, "loss": 0.70197, "time": 0.30241} -{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 17798, "data_time": 0.00529, "decode.loss_seg": 0.49291, "decode.acc_seg": 65.40593, "aux.loss_seg": 0.22221, "aux.acc_seg": 63.9025, "loss": 0.71512, "time": 0.30098} -{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 17798, "data_time": 0.00535, "decode.loss_seg": 0.50367, "decode.acc_seg": 63.84205, "aux.loss_seg": 0.21875, "aux.acc_seg": 63.11885, "loss": 0.72241, "time": 0.30131} -{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 17798, "data_time": 0.0052, "decode.loss_seg": 0.48596, "decode.acc_seg": 65.94728, "aux.loss_seg": 0.22225, "aux.acc_seg": 64.48344, "loss": 0.7082, "time": 0.30109} -{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 17798, "data_time": 0.00543, "decode.loss_seg": 0.5109, "decode.acc_seg": 66.33181, "aux.loss_seg": 0.22902, "aux.acc_seg": 65.16632, "loss": 0.73992, "time": 0.30123} -{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 17798, "data_time": 0.14572, "decode.loss_seg": 0.49728, "decode.acc_seg": 66.15071, "aux.loss_seg": 0.2227, "aux.acc_seg": 65.05474, "loss": 0.71998, "time": 0.46578} -{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 17798, "data_time": 0.00436, "decode.loss_seg": 0.45499, "decode.acc_seg": 66.36468, "aux.loss_seg": 0.20744, "aux.acc_seg": 65.07352, "loss": 0.66243, "time": 0.29998} -{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 17798, "data_time": 0.00467, "decode.loss_seg": 0.50385, "decode.acc_seg": 65.75409, "aux.loss_seg": 0.22777, "aux.acc_seg": 64.81214, "loss": 0.73162, "time": 0.30027} -{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 17798, "data_time": 0.00455, "decode.loss_seg": 0.46319, "decode.acc_seg": 66.84608, "aux.loss_seg": 0.21151, "aux.acc_seg": 65.35285, "loss": 0.67469, "time": 0.30001} -{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 17798, "data_time": 0.00456, "decode.loss_seg": 0.44399, "decode.acc_seg": 66.49673, "aux.loss_seg": 0.20363, "aux.acc_seg": 65.09049, "loss": 0.64763, "time": 0.30038} -{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 17798, "data_time": 0.00453, "decode.loss_seg": 0.4703, "decode.acc_seg": 65.75602, "aux.loss_seg": 0.21117, "aux.acc_seg": 64.66776, "loss": 0.68147, "time": 0.30007} -{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 17798, "data_time": 0.00449, "decode.loss_seg": 0.44776, "decode.acc_seg": 67.93975, "aux.loss_seg": 0.20089, "aux.acc_seg": 66.88065, "loss": 0.64864, "time": 0.30132} -{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 17798, "data_time": 0.00439, "decode.loss_seg": 0.47959, "decode.acc_seg": 65.05378, "aux.loss_seg": 0.21219, "aux.acc_seg": 63.96962, "loss": 0.69178, "time": 0.30028} -{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 17798, "data_time": 0.00446, "decode.loss_seg": 0.48496, "decode.acc_seg": 66.03565, "aux.loss_seg": 0.21735, "aux.acc_seg": 64.96336, "loss": 0.70231, "time": 0.30067} -{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 17798, "data_time": 0.00456, "decode.loss_seg": 0.49338, "decode.acc_seg": 66.00748, "aux.loss_seg": 0.22153, "aux.acc_seg": 64.93892, "loss": 0.71492, "time": 0.3002} -{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 17798, "data_time": 0.00429, "decode.loss_seg": 0.4735, "decode.acc_seg": 65.10467, "aux.loss_seg": 0.21472, "aux.acc_seg": 63.92927, "loss": 0.68823, "time": 0.30059} -{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 17798, "data_time": 0.00428, "decode.loss_seg": 0.46108, "decode.acc_seg": 67.23931, "aux.loss_seg": 0.207, "aux.acc_seg": 66.15902, "loss": 0.66808, "time": 0.30081} -{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 17798, "data_time": 0.00424, "decode.loss_seg": 0.45963, "decode.acc_seg": 65.98181, "aux.loss_seg": 0.20838, "aux.acc_seg": 64.92942, "loss": 0.66801, "time": 0.30225} -{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 17798, "data_time": 0.0041, "decode.loss_seg": 0.46904, "decode.acc_seg": 67.24681, "aux.loss_seg": 0.21502, "aux.acc_seg": 65.73709, "loss": 0.68405, "time": 0.3008} -{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 17798, "data_time": 0.00416, "decode.loss_seg": 0.44419, "decode.acc_seg": 68.39528, "aux.loss_seg": 0.19942, "aux.acc_seg": 67.14561, "loss": 0.64361, "time": 0.29947} -{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 17798, "data_time": 0.00425, "decode.loss_seg": 0.47393, "decode.acc_seg": 66.07052, "aux.loss_seg": 0.21058, "aux.acc_seg": 65.10158, "loss": 0.68451, "time": 0.29942} -{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.434, "mAcc": 0.5618, "aAcc": 0.802, "IoU.wall": 0.7283, "IoU.building": 0.7925, "IoU.sky": 0.9366, "IoU.floor": 0.7899, "IoU.tree": 0.7312, "IoU.ceiling": 0.8102, "IoU.road": 0.796, "IoU.bed ": 0.8094, "IoU.windowpane": 0.5693, "IoU.grass": 0.6602, "IoU.cabinet": 0.5289, "IoU.sidewalk": 0.5891, "IoU.person": 0.7554, "IoU.earth": 0.3693, "IoU.door": 0.412, "IoU.table": 0.5022, "IoU.mountain": 0.5148, "IoU.plant": 0.4968, "IoU.curtain": 0.6609, "IoU.chair": 0.4639, "IoU.car": 0.8114, "IoU.water": 0.587, "IoU.painting": 0.6559, "IoU.sofa": 0.5632, "IoU.shelf": 0.3745, "IoU.house": 0.4987, "IoU.sea": 0.6546, "IoU.mirror": 0.5211, "IoU.rug": 0.6429, "IoU.field": 0.3179, "IoU.armchair": 0.3458, "IoU.seat": 0.5971, "IoU.fence": 0.3902, "IoU.desk": 0.3831, "IoU.rock": 0.4387, "IoU.wardrobe": 0.4199, "IoU.lamp": 0.5038, "IoU.bathtub": 0.6437, "IoU.railing": 0.3388, "IoU.cushion": 0.4095, "IoU.base": 0.303, "IoU.box": 0.2302, "IoU.column": 0.4282, "IoU.signboard": 0.3259, "IoU.chest of drawers": 0.3741, "IoU.counter": 0.281, "IoU.sand": 0.3241, "IoU.sink": 0.6223, "IoU.skyscraper": 0.5288, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5065, "IoU.grandstand": 0.4411, "IoU.path": 0.242, "IoU.stairs": 0.3216, "IoU.runway": 0.702, "IoU.case": 0.5627, "IoU.pool table": 0.8886, "IoU.pillow": 0.4276, "IoU.screen door": 0.5814, "IoU.stairway": 0.3447, "IoU.river": 0.1284, "IoU.bridge": 0.4342, "IoU.bookcase": 0.3194, "IoU.blind": NaN, "IoU.coffee table": 0.4544, "IoU.toilet": 0.7783, "IoU.flower": 0.3493, "IoU.book": 0.45, "IoU.hill": 0.1231, "IoU.bench": 0.4237, "IoU.countertop": 0.5191, "IoU.stove": 0.5966, "IoU.palm": 0.4414, "IoU.kitchen island": 0.2933, "IoU.computer": 0.6421, "IoU.swivel chair": 0.4077, "IoU.boat": 0.4819, "IoU.bar": 0.3108, "IoU.arcade machine": 0.8081, "IoU.hovel": 0.5145, "IoU.bus": 0.8205, "IoU.towel": 0.5818, "IoU.light": 0.4309, "IoU.truck": 0.2404, "IoU.tower": 0.1474, "IoU.chandelier": 0.5693, "IoU.awning": 0.2001, "IoU.streetlight": 0.1475, "IoU.booth": 0.4679, "IoU.television receiver": NaN, "IoU.airplane": 0.5791, "IoU.dirt track": 0.0478, "IoU.apparel": 0.2622, "IoU.pole": 0.1084, "IoU.land": 0.0739, "IoU.bannister": 0.0426, "IoU.escalator": 0.3196, "IoU.ottoman": 0.341, "IoU.bottle": NaN, "IoU.buffet": 0.4547, "IoU.poster": 0.1373, "IoU.stage": 0.0736, "IoU.van": 0.3847, "IoU.ship": 0.6226, "IoU.fountain": 0.1598, "IoU.conveyer belt": 0.5794, "IoU.canopy": 0.3049, "IoU.washer": 0.7075, "IoU.plaything": 0.2028, "IoU.swimming pool": 0.6734, "IoU.stool": 0.1919, "IoU.barrel": 0.4562, "IoU.basket": 0.251, "IoU.waterfall": 0.7673, "IoU.tent": 0.8907, "IoU.bag": 0.0568, "IoU.minibike": 0.6519, "IoU.cradle": NaN, "IoU.oven": 0.1115, "IoU.ball": 0.4644, "IoU.food": 0.4265, "IoU.step": 0.0018, "IoU.tank": 0.5054, "IoU.trade name": 0.2234, "IoU.microwave": 0.6576, "IoU.pot": 0.4635, "IoU.animal": NaN, "IoU.bicycle": 0.5463, "IoU.lake": 0.0648, "IoU.dishwasher": 0.4218, "IoU.screen": 0.6054, "IoU.blanket": 0.0175, "IoU.sculpture": 0.4252, "IoU.hood": 0.3676, "IoU.sconce": 0.1413, "IoU.vase": 0.2924, "IoU.traffic light": 0.1898, "IoU.tray": 0.0134, "IoU.ashcan": 0.3815, "IoU.fan": 0.4834, "IoU.pier": 0.5653, "IoU.crt screen": 0.0026, "IoU.plate": 0.4649, "IoU.monitor": 0.1195, "IoU.bulletin board": 0.435, "IoU.shower": 0.0, "IoU.radiator": 0.5023, "IoU.glass": 0.0612, "IoU.clock": 0.311, "IoU.flag": 0.3498, "Acc.wall": 0.8601, "Acc.building": 0.9188, "Acc.sky": 0.9662, "Acc.floor": 0.8667, "Acc.tree": 0.8781, "Acc.ceiling": 0.8801, "Acc.road": 0.8718, "Acc.bed ": 0.9475, "Acc.windowpane": 0.7267, "Acc.grass": 0.7695, "Acc.cabinet": 0.6497, "Acc.sidewalk": 0.7623, "Acc.person": 0.8761, "Acc.earth": 0.5438, "Acc.door": 0.5494, "Acc.table": 0.638, "Acc.mountain": 0.6103, "Acc.plant": 0.6012, "Acc.curtain": 0.8424, "Acc.chair": 0.5896, "Acc.car": 0.9045, "Acc.water": 0.8137, "Acc.painting": 0.8084, "Acc.sofa": 0.7477, "Acc.shelf": 0.5137, "Acc.house": 0.7769, "Acc.sea": 0.7879, "Acc.mirror": 0.6623, "Acc.rug": 0.8286, "Acc.field": 0.5402, "Acc.armchair": 0.546, "Acc.seat": 0.7733, "Acc.fence": 0.4971, "Acc.desk": 0.5596, "Acc.rock": 0.701, "Acc.wardrobe": 0.5382, "Acc.lamp": 0.6726, "Acc.bathtub": 0.7822, "Acc.railing": 0.4906, "Acc.cushion": 0.4665, "Acc.base": 0.4616, "Acc.box": 0.2942, "Acc.column": 0.5591, "Acc.signboard": 0.4367, "Acc.chest of drawers": 0.5515, "Acc.counter": 0.3704, "Acc.sand": 0.5159, "Acc.sink": 0.7341, "Acc.skyscraper": 0.6664, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8688, "Acc.grandstand": 0.7458, "Acc.path": 0.349, "Acc.stairs": 0.3648, "Acc.runway": 0.9611, "Acc.case": 0.7554, "Acc.pool table": 0.9499, "Acc.pillow": 0.5263, "Acc.screen door": 0.744, "Acc.stairway": 0.3871, "Acc.river": 0.165, "Acc.bridge": 0.5361, "Acc.bookcase": 0.3899, "Acc.blind": NaN, "Acc.coffee table": 0.7792, "Acc.toilet": 0.8747, "Acc.flower": 0.4731, "Acc.book": 0.6248, "Acc.hill": 0.2195, "Acc.bench": 0.5847, "Acc.countertop": 0.705, "Acc.stove": 0.7252, "Acc.palm": 0.6225, "Acc.kitchen island": 0.7746, "Acc.computer": 0.8189, "Acc.swivel chair": 0.5757, "Acc.boat": 0.5322, "Acc.bar": 0.4401, "Acc.arcade machine": 0.9466, "Acc.hovel": 0.5964, "Acc.bus": 0.9515, "Acc.towel": 0.745, "Acc.light": 0.4899, "Acc.truck": 0.3646, "Acc.tower": 0.2238, "Acc.chandelier": 0.7857, "Acc.awning": 0.2692, "Acc.streetlight": 0.1971, "Acc.booth": 0.5469, "Acc.television receiver": NaN, "Acc.airplane": 0.6704, "Acc.dirt track": 0.1659, "Acc.apparel": 0.4837, "Acc.pole": 0.1456, "Acc.land": 0.1012, "Acc.bannister": 0.0478, "Acc.escalator": 0.4553, "Acc.ottoman": 0.526, "Acc.bottle": NaN, "Acc.buffet": 0.5526, "Acc.poster": 0.1746, "Acc.stage": 0.1822, "Acc.van": 0.4705, "Acc.ship": 0.9323, "Acc.fountain": 0.1612, "Acc.conveyer belt": 0.9195, "Acc.canopy": 0.3654, "Acc.washer": 0.7826, "Acc.plaything": 0.3277, "Acc.swimming pool": 0.837, "Acc.stool": 0.2574, "Acc.barrel": 0.6364, "Acc.basket": 0.3934, "Acc.waterfall": 0.8972, "Acc.tent": 0.9877, "Acc.bag": 0.0584, "Acc.minibike": 0.805, "Acc.cradle": NaN, "Acc.oven": 0.1764, "Acc.ball": 0.5581, "Acc.food": 0.4746, "Acc.step": 0.002, "Acc.tank": 0.636, "Acc.trade name": 0.249, "Acc.microwave": 0.7763, "Acc.pot": 0.5249, "Acc.animal": NaN, "Acc.bicycle": 0.7547, "Acc.lake": 0.127, "Acc.dishwasher": 0.51, "Acc.screen": 0.8705, "Acc.blanket": 0.0195, "Acc.sculpture": 0.5328, "Acc.hood": 0.4798, "Acc.sconce": 0.1493, "Acc.vase": 0.4487, "Acc.traffic light": 0.3589, "Acc.tray": 0.0156, "Acc.ashcan": 0.5101, "Acc.fan": 0.746, "Acc.pier": 0.7336, "Acc.crt screen": 0.0065, "Acc.plate": 0.7249, "Acc.monitor": 0.1325, "Acc.bulletin board": 0.6458, "Acc.shower": 0.0, "Acc.radiator": 0.5637, "Acc.glass": 0.0647, "Acc.clock": 0.4349, "Acc.flag": 0.3761} -{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 36160, "data_time": 8.4395, "decode.loss_seg": 0.48674, "decode.acc_seg": 66.73432, "aux.loss_seg": 0.21922, "aux.acc_seg": 65.4062, "loss": 0.70597, "time": 8.74359} -{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.50655, "decode.acc_seg": 67.79923, "aux.loss_seg": 0.22813, "aux.acc_seg": 66.37061, "loss": 0.73468, "time": 0.30143} -{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 36160, "data_time": 0.00451, "decode.loss_seg": 0.48465, "decode.acc_seg": 66.75704, "aux.loss_seg": 0.21583, "aux.acc_seg": 65.90863, "loss": 0.70048, "time": 0.3009} -{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.47911, "decode.acc_seg": 66.35017, "aux.loss_seg": 0.21252, "aux.acc_seg": 65.3712, "loss": 0.69164, "time": 0.30408} -{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.48047, "decode.acc_seg": 65.48435, "aux.loss_seg": 0.21558, "aux.acc_seg": 64.10498, "loss": 0.69605, "time": 0.30267} -{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 36160, "data_time": 0.00442, "decode.loss_seg": 0.51343, "decode.acc_seg": 64.36737, "aux.loss_seg": 0.23134, "aux.acc_seg": 63.21726, "loss": 0.74477, "time": 0.30345} -{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.49327, "decode.acc_seg": 65.68424, "aux.loss_seg": 0.21876, "aux.acc_seg": 64.53647, "loss": 0.71203, "time": 0.30411} -{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.49796, "decode.acc_seg": 65.36798, "aux.loss_seg": 0.21997, "aux.acc_seg": 64.22014, "loss": 0.71793, "time": 0.30285} -{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 36160, "data_time": 0.17279, "decode.loss_seg": 0.45601, "decode.acc_seg": 65.88416, "aux.loss_seg": 0.20321, "aux.acc_seg": 64.78725, "loss": 0.65922, "time": 0.46963} -{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.48093, "decode.acc_seg": 66.7092, "aux.loss_seg": 0.21292, "aux.acc_seg": 65.87113, "loss": 0.69384, "time": 0.30194} -{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.44191, "decode.acc_seg": 67.85616, "aux.loss_seg": 0.19774, "aux.acc_seg": 66.83266, "loss": 0.63965, "time": 0.30021} -{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.44584, "decode.acc_seg": 67.45827, "aux.loss_seg": 0.19842, "aux.acc_seg": 66.56499, "loss": 0.64426, "time": 0.30041} -{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.45289, "decode.acc_seg": 66.922, "aux.loss_seg": 0.2057, "aux.acc_seg": 65.60509, "loss": 0.65859, "time": 0.30113} -{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.45937, "decode.acc_seg": 66.92967, "aux.loss_seg": 0.20737, "aux.acc_seg": 65.66682, "loss": 0.66675, "time": 0.30033} -{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.44708, "decode.acc_seg": 67.11556, "aux.loss_seg": 0.2058, "aux.acc_seg": 65.73894, "loss": 0.65288, "time": 0.30069} -{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.47874, "decode.acc_seg": 66.51109, "aux.loss_seg": 0.21567, "aux.acc_seg": 65.3321, "loss": 0.69441, "time": 0.30132} -{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.46521, "decode.acc_seg": 67.27788, "aux.loss_seg": 0.21018, "aux.acc_seg": 66.05833, "loss": 0.67539, "time": 0.30133} -{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.44432, "decode.acc_seg": 67.62067, "aux.loss_seg": 0.20046, "aux.acc_seg": 66.49667, "loss": 0.64478, "time": 0.30058} -{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.46427, "decode.acc_seg": 65.80446, "aux.loss_seg": 0.20615, "aux.acc_seg": 64.66771, "loss": 0.67042, "time": 0.30099} -{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.45514, "decode.acc_seg": 65.60991, "aux.loss_seg": 0.20323, "aux.acc_seg": 64.69861, "loss": 0.65837, "time": 0.30144} -{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.44925, "decode.acc_seg": 65.97823, "aux.loss_seg": 0.20616, "aux.acc_seg": 64.69353, "loss": 0.65541, "time": 0.30075} -{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.4581, "decode.acc_seg": 68.45117, "aux.loss_seg": 0.20393, "aux.acc_seg": 67.57807, "loss": 0.66204, "time": 0.3009} -{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.45195, "decode.acc_seg": 66.57443, "aux.loss_seg": 0.20268, "aux.acc_seg": 65.48366, "loss": 0.65463, "time": 0.30129} -{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.47824, "decode.acc_seg": 66.63474, "aux.loss_seg": 0.21339, "aux.acc_seg": 65.71171, "loss": 0.69163, "time": 0.30119} -{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.47011, "decode.acc_seg": 67.52844, "aux.loss_seg": 0.21168, "aux.acc_seg": 66.31766, "loss": 0.68178, "time": 0.30089} -{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.43844, "decode.acc_seg": 67.78679, "aux.loss_seg": 0.19857, "aux.acc_seg": 66.43252, "loss": 0.63701, "time": 0.30196} -{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.47337, "decode.acc_seg": 65.12833, "aux.loss_seg": 0.211, "aux.acc_seg": 64.02015, "loss": 0.68437, "time": 0.30175} -{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.47071, "decode.acc_seg": 66.34479, "aux.loss_seg": 0.2128, "aux.acc_seg": 64.97557, "loss": 0.68351, "time": 0.30161} -{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.4927, "decode.acc_seg": 65.19836, "aux.loss_seg": 0.22152, "aux.acc_seg": 64.10197, "loss": 0.71422, "time": 0.302} -{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.45803, "decode.acc_seg": 64.25961, "aux.loss_seg": 0.20219, "aux.acc_seg": 63.42775, "loss": 0.66021, "time": 0.30244} -{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.4608, "decode.acc_seg": 67.12829, "aux.loss_seg": 0.20644, "aux.acc_seg": 66.10623, "loss": 0.66724, "time": 0.30255} -{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.44526, "decode.acc_seg": 67.49077, "aux.loss_seg": 0.19907, "aux.acc_seg": 66.40157, "loss": 0.64433, "time": 0.30151} -{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.48917, "decode.acc_seg": 65.88383, "aux.loss_seg": 0.2164, "aux.acc_seg": 64.95498, "loss": 0.70557, "time": 0.30117} -{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 36160, "data_time": 0.17369, "decode.loss_seg": 0.45495, "decode.acc_seg": 67.18311, "aux.loss_seg": 0.20321, "aux.acc_seg": 66.34076, "loss": 0.65816, "time": 0.46939} -{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.43117, "decode.acc_seg": 67.00625, "aux.loss_seg": 0.19914, "aux.acc_seg": 65.58314, "loss": 0.63031, "time": 0.3005} -{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.43904, "decode.acc_seg": 68.66864, "aux.loss_seg": 0.19771, "aux.acc_seg": 67.70539, "loss": 0.63674, "time": 0.30033} -{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.44928, "decode.acc_seg": 66.21603, "aux.loss_seg": 0.19991, "aux.acc_seg": 65.11143, "loss": 0.64919, "time": 0.3001} -{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.44416, "decode.acc_seg": 67.99543, "aux.loss_seg": 0.20029, "aux.acc_seg": 66.68175, "loss": 0.64445, "time": 0.29974} -{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.43876, "decode.acc_seg": 65.81743, "aux.loss_seg": 0.20065, "aux.acc_seg": 64.60494, "loss": 0.63941, "time": 0.29945} -{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.43344, "decode.acc_seg": 67.32339, "aux.loss_seg": 0.19718, "aux.acc_seg": 66.29556, "loss": 0.63062, "time": 0.30038} -{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.46252, "decode.acc_seg": 66.2358, "aux.loss_seg": 0.20852, "aux.acc_seg": 65.06183, "loss": 0.67103, "time": 0.3005} -{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.45001, "decode.acc_seg": 67.59847, "aux.loss_seg": 0.20365, "aux.acc_seg": 66.52288, "loss": 0.65366, "time": 0.30029} -{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.45861, "decode.acc_seg": 67.7009, "aux.loss_seg": 0.20641, "aux.acc_seg": 66.87852, "loss": 0.66503, "time": 0.30043} -{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.42089, "decode.acc_seg": 66.63976, "aux.loss_seg": 0.19485, "aux.acc_seg": 65.20792, "loss": 0.61574, "time": 0.30067} -{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.44773, "decode.acc_seg": 68.15223, "aux.loss_seg": 0.2021, "aux.acc_seg": 66.85346, "loss": 0.64983, "time": 0.30077} -{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.44752, "decode.acc_seg": 65.28846, "aux.loss_seg": 0.20167, "aux.acc_seg": 64.17955, "loss": 0.64918, "time": 0.30018} -{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.44355, "decode.acc_seg": 66.92272, "aux.loss_seg": 0.20009, "aux.acc_seg": 65.82319, "loss": 0.64364, "time": 0.30093} -{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.4688, "decode.acc_seg": 68.49311, "aux.loss_seg": 0.21113, "aux.acc_seg": 67.56716, "loss": 0.67993, "time": 0.30074} -{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.41574, "decode.acc_seg": 67.27365, "aux.loss_seg": 0.187, "aux.acc_seg": 66.23162, "loss": 0.60275, "time": 0.30094} -{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.45312, "decode.acc_seg": 66.18591, "aux.loss_seg": 0.20544, "aux.acc_seg": 65.04892, "loss": 0.65856, "time": 0.30154} -{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.47656, "decode.acc_seg": 66.62729, "aux.loss_seg": 0.21632, "aux.acc_seg": 65.39347, "loss": 0.69288, "time": 0.30123} -{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.46301, "decode.acc_seg": 67.07634, "aux.loss_seg": 0.20967, "aux.acc_seg": 65.83115, "loss": 0.67267, "time": 0.30113} -{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.43748, "decode.acc_seg": 68.29811, "aux.loss_seg": 0.19839, "aux.acc_seg": 67.1423, "loss": 0.63587, "time": 0.30129} -{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.42398, "decode.acc_seg": 67.24299, "aux.loss_seg": 0.19418, "aux.acc_seg": 65.90217, "loss": 0.61816, "time": 0.30019} -{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.41503, "decode.acc_seg": 67.00166, "aux.loss_seg": 0.18755, "aux.acc_seg": 65.93476, "loss": 0.60258, "time": 0.30066} -{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.45463, "decode.acc_seg": 66.53612, "aux.loss_seg": 0.20406, "aux.acc_seg": 65.41193, "loss": 0.65869, "time": 0.30024} -{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.47873, "decode.acc_seg": 66.97359, "aux.loss_seg": 0.21552, "aux.acc_seg": 65.84691, "loss": 0.69425, "time": 0.30148} -{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.46304, "decode.acc_seg": 67.38805, "aux.loss_seg": 0.20624, "aux.acc_seg": 66.35894, "loss": 0.66928, "time": 0.3008} -{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 36160, "data_time": 0.17491, "decode.loss_seg": 0.46764, "decode.acc_seg": 66.71547, "aux.loss_seg": 0.21203, "aux.acc_seg": 65.26824, "loss": 0.67966, "time": 0.47068} -{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.43372, "decode.acc_seg": 66.92312, "aux.loss_seg": 0.1996, "aux.acc_seg": 65.65454, "loss": 0.63333, "time": 0.30016} -{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.41993, "decode.acc_seg": 67.02794, "aux.loss_seg": 0.19069, "aux.acc_seg": 65.87351, "loss": 0.61062, "time": 0.29971} -{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.44339, "decode.acc_seg": 66.35774, "aux.loss_seg": 0.19921, "aux.acc_seg": 65.31404, "loss": 0.6426, "time": 0.29956} -{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.44661, "decode.acc_seg": 68.36047, "aux.loss_seg": 0.20125, "aux.acc_seg": 67.27725, "loss": 0.64786, "time": 0.29973} -{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.41211, "decode.acc_seg": 68.50682, "aux.loss_seg": 0.18796, "aux.acc_seg": 67.358, "loss": 0.60006, "time": 0.29961} -{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.44008, "decode.acc_seg": 66.27838, "aux.loss_seg": 0.19494, "aux.acc_seg": 65.32952, "loss": 0.63502, "time": 0.29978} -{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.43921, "decode.acc_seg": 67.29768, "aux.loss_seg": 0.20152, "aux.acc_seg": 65.72395, "loss": 0.64073, "time": 0.30128} -{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.42352, "decode.acc_seg": 66.84409, "aux.loss_seg": 0.19301, "aux.acc_seg": 65.3554, "loss": 0.61654, "time": 0.30165} -{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.42236, "decode.acc_seg": 66.17469, "aux.loss_seg": 0.18989, "aux.acc_seg": 65.12956, "loss": 0.61225, "time": 0.30213} -{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.46028, "decode.acc_seg": 67.09039, "aux.loss_seg": 0.20434, "aux.acc_seg": 66.12597, "loss": 0.66462, "time": 0.30129} -{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.43678, "decode.acc_seg": 68.97212, "aux.loss_seg": 0.2005, "aux.acc_seg": 67.66009, "loss": 0.63728, "time": 0.30053} -{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.40344, "decode.acc_seg": 67.48127, "aux.loss_seg": 0.18321, "aux.acc_seg": 66.35698, "loss": 0.58665, "time": 0.30103} -{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.42564, "decode.acc_seg": 66.30787, "aux.loss_seg": 0.18834, "aux.acc_seg": 65.4238, "loss": 0.61397, "time": 0.30014} -{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.41779, "decode.acc_seg": 67.39723, "aux.loss_seg": 0.18915, "aux.acc_seg": 66.25821, "loss": 0.60694, "time": 0.29977} -{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.45836, "decode.acc_seg": 66.98716, "aux.loss_seg": 0.20407, "aux.acc_seg": 65.83564, "loss": 0.66242, "time": 0.30063} -{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.42426, "decode.acc_seg": 68.18603, "aux.loss_seg": 0.19163, "aux.acc_seg": 66.96442, "loss": 0.61589, "time": 0.30007} -{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.44475, "decode.acc_seg": 65.73824, "aux.loss_seg": 0.19602, "aux.acc_seg": 64.90792, "loss": 0.64077, "time": 0.30079} -{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.44409, "decode.acc_seg": 67.56961, "aux.loss_seg": 0.19985, "aux.acc_seg": 66.50724, "loss": 0.64394, "time": 0.30126} -{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.40604, "decode.acc_seg": 67.23381, "aux.loss_seg": 0.18624, "aux.acc_seg": 66.01077, "loss": 0.59228, "time": 0.3016} -{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.43927, "decode.acc_seg": 66.6749, "aux.loss_seg": 0.19911, "aux.acc_seg": 65.46106, "loss": 0.63837, "time": 0.30037} -{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.43051, "decode.acc_seg": 69.62155, "aux.loss_seg": 0.19473, "aux.acc_seg": 68.43275, "loss": 0.62523, "time": 0.30117} -{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.44022, "decode.acc_seg": 67.02887, "aux.loss_seg": 0.2, "aux.acc_seg": 65.57869, "loss": 0.64022, "time": 0.3012} -{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.43578, "decode.acc_seg": 66.72884, "aux.loss_seg": 0.19496, "aux.acc_seg": 65.59509, "loss": 0.63075, "time": 0.29956} -{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.4471, "decode.acc_seg": 66.31287, "aux.loss_seg": 0.20376, "aux.acc_seg": 65.07061, "loss": 0.65086, "time": 0.30017} -{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.46415, "decode.acc_seg": 65.46437, "aux.loss_seg": 0.21011, "aux.acc_seg": 64.08244, "loss": 0.67426, "time": 0.30119} -{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 36160, "data_time": 0.16544, "decode.loss_seg": 0.42723, "decode.acc_seg": 67.86107, "aux.loss_seg": 0.19381, "aux.acc_seg": 66.61285, "loss": 0.62104, "time": 0.46234} -{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.40519, "decode.acc_seg": 67.413, "aux.loss_seg": 0.18486, "aux.acc_seg": 66.04702, "loss": 0.59005, "time": 0.3019} -{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 36160, "data_time": 0.00643, "decode.loss_seg": 0.4048, "decode.acc_seg": 68.28639, "aux.loss_seg": 0.18466, "aux.acc_seg": 67.14824, "loss": 0.58946, "time": 0.30097} -{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 36160, "data_time": 0.00626, "decode.loss_seg": 0.42772, "decode.acc_seg": 67.83639, "aux.loss_seg": 0.19566, "aux.acc_seg": 66.31636, "loss": 0.62338, "time": 0.30076} -{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.42709, "decode.acc_seg": 66.83374, "aux.loss_seg": 0.1957, "aux.acc_seg": 65.48356, "loss": 0.62279, "time": 0.30087} -{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.41242, "decode.acc_seg": 68.35367, "aux.loss_seg": 0.18812, "aux.acc_seg": 67.15332, "loss": 0.60054, "time": 0.30088} -{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.39427, "decode.acc_seg": 67.39781, "aux.loss_seg": 0.18171, "aux.acc_seg": 66.07388, "loss": 0.57598, "time": 0.30237} -{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 36160, "data_time": 0.00637, "decode.loss_seg": 0.3926, "decode.acc_seg": 66.91528, "aux.loss_seg": 0.17771, "aux.acc_seg": 65.79832, "loss": 0.57031, "time": 0.30251} -{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.46386, "decode.acc_seg": 67.37369, "aux.loss_seg": 0.20672, "aux.acc_seg": 66.56235, "loss": 0.67058, "time": 0.3015} -{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.41995, "decode.acc_seg": 68.3009, "aux.loss_seg": 0.19236, "aux.acc_seg": 67.15901, "loss": 0.61231, "time": 0.30067} -{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.41596, "decode.acc_seg": 67.90191, "aux.loss_seg": 0.18959, "aux.acc_seg": 66.60804, "loss": 0.60554, "time": 0.30054} -{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.42198, "decode.acc_seg": 66.01029, "aux.loss_seg": 0.1914, "aux.acc_seg": 64.95218, "loss": 0.61339, "time": 0.30047} -{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.43922, "decode.acc_seg": 68.23247, "aux.loss_seg": 0.19749, "aux.acc_seg": 67.0482, "loss": 0.6367, "time": 0.30061} -{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 36160, "data_time": 0.0063, "decode.loss_seg": 0.40404, "decode.acc_seg": 68.54244, "aux.loss_seg": 0.18638, "aux.acc_seg": 67.12129, "loss": 0.59042, "time": 0.30075} -{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.41082, "decode.acc_seg": 67.96419, "aux.loss_seg": 0.18764, "aux.acc_seg": 66.66267, "loss": 0.59845, "time": 0.30266} -{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.42638, "decode.acc_seg": 68.11159, "aux.loss_seg": 0.19496, "aux.acc_seg": 66.86938, "loss": 0.62134, "time": 0.30073} -{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.41902, "decode.acc_seg": 69.10358, "aux.loss_seg": 0.19069, "aux.acc_seg": 67.9534, "loss": 0.60971, "time": 0.30143} -{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.44565, "decode.acc_seg": 67.65636, "aux.loss_seg": 0.19927, "aux.acc_seg": 66.49204, "loss": 0.64492, "time": 0.30086} -{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.42108, "decode.acc_seg": 67.03551, "aux.loss_seg": 0.19285, "aux.acc_seg": 65.75535, "loss": 0.61392, "time": 0.30046} -{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.43538, "decode.acc_seg": 68.16844, "aux.loss_seg": 0.19533, "aux.acc_seg": 66.99707, "loss": 0.63071, "time": 0.30075} -{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.43551, "decode.acc_seg": 67.21144, "aux.loss_seg": 0.19653, "aux.acc_seg": 65.94594, "loss": 0.63204, "time": 0.30121} -{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.4125, "decode.acc_seg": 67.73796, "aux.loss_seg": 0.18577, "aux.acc_seg": 66.45674, "loss": 0.59827, "time": 0.30091} -{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.40877, "decode.acc_seg": 67.8979, "aux.loss_seg": 0.18655, "aux.acc_seg": 66.83193, "loss": 0.59532, "time": 0.29996} -{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.42089, "decode.acc_seg": 68.37693, "aux.loss_seg": 0.1915, "aux.acc_seg": 67.26878, "loss": 0.61238, "time": 0.30095} -{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.44541, "decode.acc_seg": 67.40384, "aux.loss_seg": 0.1985, "aux.acc_seg": 66.43516, "loss": 0.64391, "time": 0.30118} -{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 36160, "data_time": 0.17188, "decode.loss_seg": 0.41678, "decode.acc_seg": 67.90126, "aux.loss_seg": 0.1882, "aux.acc_seg": 66.72506, "loss": 0.60499, "time": 0.46703} -{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.40382, "decode.acc_seg": 66.4656, "aux.loss_seg": 0.18345, "aux.acc_seg": 65.41792, "loss": 0.58727, "time": 0.30162} -{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.43458, "decode.acc_seg": 67.11912, "aux.loss_seg": 0.19396, "aux.acc_seg": 66.17247, "loss": 0.62854, "time": 0.30159} -{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.40781, "decode.acc_seg": 68.91408, "aux.loss_seg": 0.18673, "aux.acc_seg": 67.86465, "loss": 0.59454, "time": 0.30096} -{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.43609, "decode.acc_seg": 67.38875, "aux.loss_seg": 0.19629, "aux.acc_seg": 66.18267, "loss": 0.63238, "time": 0.30136} -{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 36160, "data_time": 0.00668, "decode.loss_seg": 0.43608, "decode.acc_seg": 66.05552, "aux.loss_seg": 0.19348, "aux.acc_seg": 64.99981, "loss": 0.62956, "time": 0.30126} -{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.42442, "decode.acc_seg": 67.73956, "aux.loss_seg": 0.19273, "aux.acc_seg": 66.56198, "loss": 0.61715, "time": 0.30037} -{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.41613, "decode.acc_seg": 66.43565, "aux.loss_seg": 0.19071, "aux.acc_seg": 65.26164, "loss": 0.60685, "time": 0.30089} -{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.40041, "decode.acc_seg": 68.28179, "aux.loss_seg": 0.18035, "aux.acc_seg": 67.15505, "loss": 0.58076, "time": 0.301} -{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.45423, "decode.acc_seg": 66.33496, "aux.loss_seg": 0.2059, "aux.acc_seg": 65.23822, "loss": 0.66013, "time": 0.30039} -{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.42068, "decode.acc_seg": 68.38791, "aux.loss_seg": 0.19226, "aux.acc_seg": 67.11991, "loss": 0.61294, "time": 0.30058} -{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.40541, "decode.acc_seg": 68.56649, "aux.loss_seg": 0.18621, "aux.acc_seg": 67.19495, "loss": 0.59162, "time": 0.30017} -{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.43065, "decode.acc_seg": 69.2994, "aux.loss_seg": 0.19715, "aux.acc_seg": 67.91401, "loss": 0.6278, "time": 0.3001} -{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.41443, "decode.acc_seg": 69.368, "aux.loss_seg": 0.18629, "aux.acc_seg": 68.29445, "loss": 0.60071, "time": 0.30008} -{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.42772, "decode.acc_seg": 67.22375, "aux.loss_seg": 0.19464, "aux.acc_seg": 66.00805, "loss": 0.62235, "time": 0.3001} -{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.41122, "decode.acc_seg": 67.10321, "aux.loss_seg": 0.1858, "aux.acc_seg": 65.9946, "loss": 0.59702, "time": 0.30106} -{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.41932, "decode.acc_seg": 69.1161, "aux.loss_seg": 0.19101, "aux.acc_seg": 67.74757, "loss": 0.61033, "time": 0.30039} -{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.42644, "decode.acc_seg": 66.85364, "aux.loss_seg": 0.19333, "aux.acc_seg": 65.61179, "loss": 0.61977, "time": 0.30257} -{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.41918, "decode.acc_seg": 68.59629, "aux.loss_seg": 0.19116, "aux.acc_seg": 67.33086, "loss": 0.61034, "time": 0.30147} -{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.40956, "decode.acc_seg": 68.2236, "aux.loss_seg": 0.18505, "aux.acc_seg": 67.02131, "loss": 0.5946, "time": 0.30075} -{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.45973, "decode.acc_seg": 67.50025, "aux.loss_seg": 0.20369, "aux.acc_seg": 66.30735, "loss": 0.66341, "time": 0.3016} -{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.44245, "decode.acc_seg": 67.12215, "aux.loss_seg": 0.19834, "aux.acc_seg": 65.69169, "loss": 0.6408, "time": 0.30399} -{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.4175, "decode.acc_seg": 67.24333, "aux.loss_seg": 0.19069, "aux.acc_seg": 65.98017, "loss": 0.60818, "time": 0.30187} -{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.42995, "decode.acc_seg": 67.53459, "aux.loss_seg": 0.19122, "aux.acc_seg": 66.67878, "loss": 0.62117, "time": 0.30057} -{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.4269, "decode.acc_seg": 69.366, "aux.loss_seg": 0.19421, "aux.acc_seg": 68.11843, "loss": 0.62111, "time": 0.30158} -{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 36160, "data_time": 0.17351, "decode.loss_seg": 0.40793, "decode.acc_seg": 66.76657, "aux.loss_seg": 0.18443, "aux.acc_seg": 65.67758, "loss": 0.59236, "time": 0.47048} -{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.37901, "decode.acc_seg": 69.06286, "aux.loss_seg": 0.17541, "aux.acc_seg": 67.71878, "loss": 0.55442, "time": 0.30376} -{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.39503, "decode.acc_seg": 68.88575, "aux.loss_seg": 0.18163, "aux.acc_seg": 67.73544, "loss": 0.57666, "time": 0.30201} -{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.40386, "decode.acc_seg": 69.3428, "aux.loss_seg": 0.18696, "aux.acc_seg": 67.98372, "loss": 0.59082, "time": 0.30177} -{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.42241, "decode.acc_seg": 67.94598, "aux.loss_seg": 0.18888, "aux.acc_seg": 66.72142, "loss": 0.61129, "time": 0.30084} -{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.41369, "decode.acc_seg": 67.39302, "aux.loss_seg": 0.19177, "aux.acc_seg": 65.89775, "loss": 0.60547, "time": 0.3013} -{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.41347, "decode.acc_seg": 69.79835, "aux.loss_seg": 0.18814, "aux.acc_seg": 68.49461, "loss": 0.60161, "time": 0.30098} -{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.39569, "decode.acc_seg": 67.59694, "aux.loss_seg": 0.17974, "aux.acc_seg": 66.59523, "loss": 0.57543, "time": 0.30113} -{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.44334, "decode.acc_seg": 68.54605, "aux.loss_seg": 0.20155, "aux.acc_seg": 67.10977, "loss": 0.64489, "time": 0.30193} -{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.37986, "decode.acc_seg": 68.49981, "aux.loss_seg": 0.17345, "aux.acc_seg": 67.40491, "loss": 0.55331, "time": 0.302} -{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.38132, "decode.acc_seg": 66.44464, "aux.loss_seg": 0.17757, "aux.acc_seg": 65.15887, "loss": 0.55889, "time": 0.30095} -{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.39394, "decode.acc_seg": 68.57848, "aux.loss_seg": 0.17954, "aux.acc_seg": 67.67142, "loss": 0.57348, "time": 0.29993} -{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.38741, "decode.acc_seg": 68.01516, "aux.loss_seg": 0.17615, "aux.acc_seg": 66.85439, "loss": 0.56356, "time": 0.30051} -{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.40671, "decode.acc_seg": 69.7239, "aux.loss_seg": 0.18731, "aux.acc_seg": 68.51131, "loss": 0.59402, "time": 0.30095} -{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.39459, "decode.acc_seg": 68.15376, "aux.loss_seg": 0.17949, "aux.acc_seg": 66.83375, "loss": 0.57408, "time": 0.3} -{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.40939, "decode.acc_seg": 66.97477, "aux.loss_seg": 0.18437, "aux.acc_seg": 65.85902, "loss": 0.59376, "time": 0.30056} -{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.40203, "decode.acc_seg": 68.00144, "aux.loss_seg": 0.18218, "aux.acc_seg": 66.63198, "loss": 0.58421, "time": 0.30109} -{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.41508, "decode.acc_seg": 68.35439, "aux.loss_seg": 0.18916, "aux.acc_seg": 67.03493, "loss": 0.60424, "time": 0.3007} -{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.42641, "decode.acc_seg": 69.07536, "aux.loss_seg": 0.19407, "aux.acc_seg": 67.76238, "loss": 0.62048, "time": 0.30087} -{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.41196, "decode.acc_seg": 69.06374, "aux.loss_seg": 0.18555, "aux.acc_seg": 67.92242, "loss": 0.59751, "time": 0.30045} -{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.40261, "decode.acc_seg": 69.15514, "aux.loss_seg": 0.18361, "aux.acc_seg": 68.03589, "loss": 0.58621, "time": 0.30057} -{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.41146, "decode.acc_seg": 66.86697, "aux.loss_seg": 0.18804, "aux.acc_seg": 65.657, "loss": 0.59949, "time": 0.30055} -{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.41082, "decode.acc_seg": 66.7063, "aux.loss_seg": 0.18764, "aux.acc_seg": 65.45157, "loss": 0.59846, "time": 0.30011} -{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.42379, "decode.acc_seg": 67.3246, "aux.loss_seg": 0.18772, "aux.acc_seg": 66.35751, "loss": 0.61151, "time": 0.30064} -{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.40811, "decode.acc_seg": 67.56045, "aux.loss_seg": 0.18482, "aux.acc_seg": 66.37893, "loss": 0.59293, "time": 0.30055} -{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 36160, "data_time": 0.17176, "decode.loss_seg": 0.39743, "decode.acc_seg": 67.66572, "aux.loss_seg": 0.18242, "aux.acc_seg": 66.11483, "loss": 0.57985, "time": 0.46653} -{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.37487, "decode.acc_seg": 68.3724, "aux.loss_seg": 0.17273, "aux.acc_seg": 66.88709, "loss": 0.5476, "time": 0.30091} -{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.36188, "decode.acc_seg": 68.99936, "aux.loss_seg": 0.16766, "aux.acc_seg": 67.78941, "loss": 0.52954, "time": 0.30073} -{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.3919, "decode.acc_seg": 69.59891, "aux.loss_seg": 0.18126, "aux.acc_seg": 68.1813, "loss": 0.57316, "time": 0.30076} -{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.38919, "decode.acc_seg": 70.35169, "aux.loss_seg": 0.17683, "aux.acc_seg": 69.19998, "loss": 0.56602, "time": 0.30032} -{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.37426, "decode.acc_seg": 71.32726, "aux.loss_seg": 0.17198, "aux.acc_seg": 69.98696, "loss": 0.54624, "time": 0.2997} -{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.3712, "decode.acc_seg": 68.60261, "aux.loss_seg": 0.17258, "aux.acc_seg": 67.1795, "loss": 0.54378, "time": 0.3004} -{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.40317, "decode.acc_seg": 68.79768, "aux.loss_seg": 0.18577, "aux.acc_seg": 67.40813, "loss": 0.58894, "time": 0.30007} -{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.40842, "decode.acc_seg": 68.67957, "aux.loss_seg": 0.1845, "aux.acc_seg": 67.46673, "loss": 0.59292, "time": 0.30073} -{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.41727, "decode.acc_seg": 67.78319, "aux.loss_seg": 0.19305, "aux.acc_seg": 66.2812, "loss": 0.61031, "time": 0.30287} -{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.37393, "decode.acc_seg": 68.99582, "aux.loss_seg": 0.17246, "aux.acc_seg": 67.73482, "loss": 0.54638, "time": 0.30097} -{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.38985, "decode.acc_seg": 68.84166, "aux.loss_seg": 0.17788, "aux.acc_seg": 67.83899, "loss": 0.56773, "time": 0.30103} -{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.41717, "decode.acc_seg": 67.89655, "aux.loss_seg": 0.18803, "aux.acc_seg": 66.96791, "loss": 0.6052, "time": 0.30202} -{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.38733, "decode.acc_seg": 68.53509, "aux.loss_seg": 0.17744, "aux.acc_seg": 67.39535, "loss": 0.56477, "time": 0.30139} -{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.39362, "decode.acc_seg": 67.87297, "aux.loss_seg": 0.18037, "aux.acc_seg": 66.51055, "loss": 0.574, "time": 0.30115} -{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.40688, "decode.acc_seg": 68.52315, "aux.loss_seg": 0.18668, "aux.acc_seg": 67.34128, "loss": 0.59357, "time": 0.30122} -{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.37467, "decode.acc_seg": 67.42928, "aux.loss_seg": 0.17298, "aux.acc_seg": 66.23481, "loss": 0.54765, "time": 0.30062} -{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.38299, "decode.acc_seg": 68.22288, "aux.loss_seg": 0.17397, "aux.acc_seg": 67.22317, "loss": 0.55696, "time": 0.30178} -{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.39747, "decode.acc_seg": 67.57002, "aux.loss_seg": 0.18118, "aux.acc_seg": 66.25873, "loss": 0.57866, "time": 0.30113} -{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.40413, "decode.acc_seg": 67.454, "aux.loss_seg": 0.18487, "aux.acc_seg": 66.22872, "loss": 0.58901, "time": 0.30224} -{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.40286, "decode.acc_seg": 69.84596, "aux.loss_seg": 0.18309, "aux.acc_seg": 68.8893, "loss": 0.58596, "time": 0.30121} -{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.41058, "decode.acc_seg": 67.41339, "aux.loss_seg": 0.18882, "aux.acc_seg": 66.03157, "loss": 0.59939, "time": 0.30229} -{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.40368, "decode.acc_seg": 68.8065, "aux.loss_seg": 0.18529, "aux.acc_seg": 67.53966, "loss": 0.58898, "time": 0.301} -{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.39005, "decode.acc_seg": 66.89609, "aux.loss_seg": 0.17562, "aux.acc_seg": 65.91176, "loss": 0.56567, "time": 0.30214} -{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.3879, "decode.acc_seg": 68.89279, "aux.loss_seg": 0.17694, "aux.acc_seg": 67.69942, "loss": 0.56484, "time": 0.30286} -{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.40685, "decode.acc_seg": 67.97324, "aux.loss_seg": 0.1848, "aux.acc_seg": 66.93344, "loss": 0.59165, "time": 0.30046} -{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 36160, "data_time": 0.17555, "decode.loss_seg": 0.38337, "decode.acc_seg": 68.09477, "aux.loss_seg": 0.17555, "aux.acc_seg": 66.96102, "loss": 0.55892, "time": 0.47023} -{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.38234, "decode.acc_seg": 67.42543, "aux.loss_seg": 0.17596, "aux.acc_seg": 66.115, "loss": 0.5583, "time": 0.29982} -{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.36895, "decode.acc_seg": 67.82983, "aux.loss_seg": 0.16959, "aux.acc_seg": 66.80516, "loss": 0.53854, "time": 0.29998} -{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.38078, "decode.acc_seg": 68.77132, "aux.loss_seg": 0.17568, "aux.acc_seg": 67.51614, "loss": 0.55647, "time": 0.30039} -{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.38974, "decode.acc_seg": 69.93909, "aux.loss_seg": 0.17704, "aux.acc_seg": 68.53924, "loss": 0.56678, "time": 0.30065} -{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.4147, "decode.acc_seg": 68.67042, "aux.loss_seg": 0.18763, "aux.acc_seg": 67.36984, "loss": 0.60233, "time": 0.3008} -{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.41102, "decode.acc_seg": 67.24768, "aux.loss_seg": 0.18505, "aux.acc_seg": 66.28659, "loss": 0.59607, "time": 0.30056} -{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.38499, "decode.acc_seg": 69.18962, "aux.loss_seg": 0.1769, "aux.acc_seg": 67.86434, "loss": 0.5619, "time": 0.30019} -{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.36398, "decode.acc_seg": 68.95919, "aux.loss_seg": 0.16793, "aux.acc_seg": 67.62973, "loss": 0.53191, "time": 0.29983} -{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.36781, "decode.acc_seg": 68.89713, "aux.loss_seg": 0.16889, "aux.acc_seg": 67.71572, "loss": 0.5367, "time": 0.30133} -{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.36193, "decode.acc_seg": 68.66876, "aux.loss_seg": 0.16786, "aux.acc_seg": 67.49532, "loss": 0.52979, "time": 0.30105} -{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.38065, "decode.acc_seg": 70.01056, "aux.loss_seg": 0.17473, "aux.acc_seg": 68.74358, "loss": 0.55539, "time": 0.30093} -{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.39144, "decode.acc_seg": 67.68961, "aux.loss_seg": 0.1778, "aux.acc_seg": 66.54509, "loss": 0.56924, "time": 0.30139} -{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.37746, "decode.acc_seg": 69.09498, "aux.loss_seg": 0.17529, "aux.acc_seg": 67.8078, "loss": 0.55274, "time": 0.30081} -{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.38296, "decode.acc_seg": 69.23942, "aux.loss_seg": 0.17287, "aux.acc_seg": 68.35032, "loss": 0.55582, "time": 0.30066} -{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.41147, "decode.acc_seg": 67.44262, "aux.loss_seg": 0.18534, "aux.acc_seg": 66.20688, "loss": 0.5968, "time": 0.30089} -{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.39183, "decode.acc_seg": 69.62276, "aux.loss_seg": 0.1783, "aux.acc_seg": 68.50905, "loss": 0.57013, "time": 0.30088} -{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.43015, "decode.acc_seg": 68.59042, "aux.loss_seg": 0.19357, "aux.acc_seg": 67.5259, "loss": 0.62372, "time": 0.30148} -{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.40926, "decode.acc_seg": 67.71857, "aux.loss_seg": 0.1853, "aux.acc_seg": 66.66018, "loss": 0.59456, "time": 0.3005} -{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.39773, "decode.acc_seg": 69.16951, "aux.loss_seg": 0.17893, "aux.acc_seg": 68.11804, "loss": 0.57667, "time": 0.30043} -{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.35737, "decode.acc_seg": 69.42638, "aux.loss_seg": 0.16582, "aux.acc_seg": 68.13608, "loss": 0.52319, "time": 0.30016} -{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.38143, "decode.acc_seg": 69.25712, "aux.loss_seg": 0.17528, "aux.acc_seg": 67.93825, "loss": 0.55671, "time": 0.30104} -{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.38681, "decode.acc_seg": 69.53424, "aux.loss_seg": 0.17651, "aux.acc_seg": 68.30275, "loss": 0.56332, "time": 0.30082} -{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.36852, "decode.acc_seg": 69.54281, "aux.loss_seg": 0.17003, "aux.acc_seg": 68.16466, "loss": 0.53855, "time": 0.30045} -{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.38883, "decode.acc_seg": 69.44345, "aux.loss_seg": 0.18204, "aux.acc_seg": 67.99701, "loss": 0.57087, "time": 0.30064} -{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 36160, "data_time": 0.17389, "decode.loss_seg": 0.36799, "decode.acc_seg": 69.29279, "aux.loss_seg": 0.17142, "aux.acc_seg": 67.90506, "loss": 0.53941, "time": 0.46881} -{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.3723, "decode.acc_seg": 70.14817, "aux.loss_seg": 0.17118, "aux.acc_seg": 68.96708, "loss": 0.54348, "time": 0.30118} -{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.36712, "decode.acc_seg": 70.21419, "aux.loss_seg": 0.17033, "aux.acc_seg": 68.84523, "loss": 0.53745, "time": 0.30081} -{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.36336, "decode.acc_seg": 69.42616, "aux.loss_seg": 0.16681, "aux.acc_seg": 68.36103, "loss": 0.53017, "time": 0.30037} -{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.35714, "decode.acc_seg": 67.63797, "aux.loss_seg": 0.16436, "aux.acc_seg": 66.44206, "loss": 0.5215, "time": 0.30058} -{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.36432, "decode.acc_seg": 69.55902, "aux.loss_seg": 0.17014, "aux.acc_seg": 68.35228, "loss": 0.53447, "time": 0.2995} -{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.3961, "decode.acc_seg": 68.70803, "aux.loss_seg": 0.18232, "aux.acc_seg": 67.36804, "loss": 0.57841, "time": 0.29971} -{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.38499, "decode.acc_seg": 69.77993, "aux.loss_seg": 0.17938, "aux.acc_seg": 68.38948, "loss": 0.56437, "time": 0.30038} -{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.40107, "decode.acc_seg": 68.33418, "aux.loss_seg": 0.183, "aux.acc_seg": 67.13351, "loss": 0.58407, "time": 0.30045} -{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.38529, "decode.acc_seg": 67.62295, "aux.loss_seg": 0.17644, "aux.acc_seg": 66.4351, "loss": 0.56172, "time": 0.30023} -{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.39226, "decode.acc_seg": 67.51866, "aux.loss_seg": 0.18088, "aux.acc_seg": 66.25756, "loss": 0.57314, "time": 0.30043} -{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.37788, "decode.acc_seg": 68.7854, "aux.loss_seg": 0.17625, "aux.acc_seg": 67.31032, "loss": 0.55412, "time": 0.30138} -{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.37152, "decode.acc_seg": 68.97328, "aux.loss_seg": 0.17502, "aux.acc_seg": 67.47318, "loss": 0.54654, "time": 0.30065} -{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.37118, "decode.acc_seg": 68.39571, "aux.loss_seg": 0.17238, "aux.acc_seg": 66.95046, "loss": 0.54356, "time": 0.30027} -{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.37954, "decode.acc_seg": 69.77349, "aux.loss_seg": 0.17671, "aux.acc_seg": 68.22713, "loss": 0.55626, "time": 0.30053} -{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.37381, "decode.acc_seg": 69.50588, "aux.loss_seg": 0.17179, "aux.acc_seg": 68.18673, "loss": 0.5456, "time": 0.30043} -{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.37113, "decode.acc_seg": 68.07025, "aux.loss_seg": 0.16995, "aux.acc_seg": 66.91391, "loss": 0.54107, "time": 0.30052} -{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.37082, "decode.acc_seg": 67.90962, "aux.loss_seg": 0.16945, "aux.acc_seg": 66.68926, "loss": 0.54027, "time": 0.30019} -{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.36435, "decode.acc_seg": 69.2992, "aux.loss_seg": 0.16934, "aux.acc_seg": 67.98503, "loss": 0.5337, "time": 0.30031} -{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.37267, "decode.acc_seg": 68.46743, "aux.loss_seg": 0.17186, "aux.acc_seg": 67.29001, "loss": 0.54454, "time": 0.3005} -{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.38128, "decode.acc_seg": 68.78166, "aux.loss_seg": 0.17781, "aux.acc_seg": 67.54846, "loss": 0.55909, "time": 0.30064} -{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.39452, "decode.acc_seg": 69.72595, "aux.loss_seg": 0.18437, "aux.acc_seg": 68.25197, "loss": 0.57889, "time": 0.30071} -{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.36428, "decode.acc_seg": 69.02019, "aux.loss_seg": 0.16511, "aux.acc_seg": 68.1628, "loss": 0.52939, "time": 0.29984} -{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.3716, "decode.acc_seg": 67.43701, "aux.loss_seg": 0.16882, "aux.acc_seg": 66.28391, "loss": 0.54042, "time": 0.29991} -{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.3711, "decode.acc_seg": 69.23062, "aux.loss_seg": 0.16893, "aux.acc_seg": 68.09687, "loss": 0.54003, "time": 0.29972} -{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 36160, "data_time": 0.14127, "decode.loss_seg": 0.3935, "decode.acc_seg": 66.51955, "aux.loss_seg": 0.17997, "aux.acc_seg": 65.4076, "loss": 0.57347, "time": 0.45918} -{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.33885, "decode.acc_seg": 69.72292, "aux.loss_seg": 0.15618, "aux.acc_seg": 68.56543, "loss": 0.49503, "time": 0.30139} -{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.35076, "decode.acc_seg": 68.85802, "aux.loss_seg": 0.16174, "aux.acc_seg": 67.58223, "loss": 0.5125, "time": 0.30011} -{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.37196, "decode.acc_seg": 69.27521, "aux.loss_seg": 0.17217, "aux.acc_seg": 67.89828, "loss": 0.54413, "time": 0.30013} -{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.36386, "decode.acc_seg": 68.82784, "aux.loss_seg": 0.16664, "aux.acc_seg": 67.59477, "loss": 0.53051, "time": 0.2997} -{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.38422, "decode.acc_seg": 69.85403, "aux.loss_seg": 0.17582, "aux.acc_seg": 68.5096, "loss": 0.56004, "time": 0.30007} -{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.38495, "decode.acc_seg": 70.22619, "aux.loss_seg": 0.17648, "aux.acc_seg": 68.92264, "loss": 0.56142, "time": 0.30001} -{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.3732, "decode.acc_seg": 68.50352, "aux.loss_seg": 0.17477, "aux.acc_seg": 67.24376, "loss": 0.54797, "time": 0.30059} -{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.35153, "decode.acc_seg": 68.60734, "aux.loss_seg": 0.16435, "aux.acc_seg": 67.25374, "loss": 0.51588, "time": 0.30014} -{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.38961, "decode.acc_seg": 69.35029, "aux.loss_seg": 0.17881, "aux.acc_seg": 68.16772, "loss": 0.56842, "time": 0.30035} -{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.37536, "decode.acc_seg": 69.59648, "aux.loss_seg": 0.17267, "aux.acc_seg": 68.37323, "loss": 0.54803, "time": 0.2997} -{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.37167, "decode.acc_seg": 69.19681, "aux.loss_seg": 0.17107, "aux.acc_seg": 67.98817, "loss": 0.54274, "time": 0.30005} -{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.38903, "decode.acc_seg": 67.03103, "aux.loss_seg": 0.18073, "aux.acc_seg": 65.84624, "loss": 0.56976, "time": 0.29931} -{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.36696, "decode.acc_seg": 69.96756, "aux.loss_seg": 0.16892, "aux.acc_seg": 68.67563, "loss": 0.53588, "time": 0.30172} -{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.36894, "decode.acc_seg": 69.18963, "aux.loss_seg": 0.17163, "aux.acc_seg": 67.88246, "loss": 0.54057, "time": 0.30205} -{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.35264, "decode.acc_seg": 70.69371, "aux.loss_seg": 0.16282, "aux.acc_seg": 69.4043, "loss": 0.51546, "time": 0.30013} -{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.37985, "decode.acc_seg": 70.79268, "aux.loss_seg": 0.175, "aux.acc_seg": 69.49207, "loss": 0.55485, "time": 0.3001} -{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.39097, "decode.acc_seg": 67.57019, "aux.loss_seg": 0.17845, "aux.acc_seg": 66.59481, "loss": 0.56942, "time": 0.30032} -{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.38812, "decode.acc_seg": 68.25749, "aux.loss_seg": 0.17776, "aux.acc_seg": 67.04086, "loss": 0.56588, "time": 0.29993} -{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.38525, "decode.acc_seg": 69.23374, "aux.loss_seg": 0.17782, "aux.acc_seg": 68.05794, "loss": 0.56307, "time": 0.29958} -{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.38277, "decode.acc_seg": 68.82082, "aux.loss_seg": 0.17493, "aux.acc_seg": 67.64496, "loss": 0.5577, "time": 0.30021} -{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.382, "decode.acc_seg": 68.04496, "aux.loss_seg": 0.17408, "aux.acc_seg": 66.94943, "loss": 0.55608, "time": 0.29945} -{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.37488, "decode.acc_seg": 68.53438, "aux.loss_seg": 0.17453, "aux.acc_seg": 67.19509, "loss": 0.54941, "time": 0.29927} -{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.36511, "decode.acc_seg": 68.73279, "aux.loss_seg": 0.16818, "aux.acc_seg": 67.56337, "loss": 0.53329, "time": 0.30207} -{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.36005, "decode.acc_seg": 69.18723, "aux.loss_seg": 0.16542, "aux.acc_seg": 67.9404, "loss": 0.52547, "time": 0.30064} -{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 36160, "data_time": 0.15608, "decode.loss_seg": 0.37633, "decode.acc_seg": 68.25194, "aux.loss_seg": 0.17369, "aux.acc_seg": 67.05162, "loss": 0.55002, "time": 0.4662} -{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.35398, "decode.acc_seg": 68.79753, "aux.loss_seg": 0.16442, "aux.acc_seg": 67.47481, "loss": 0.51839, "time": 0.30222} -{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.37524, "decode.acc_seg": 69.56292, "aux.loss_seg": 0.1743, "aux.acc_seg": 68.18862, "loss": 0.54955, "time": 0.3005} -{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.35178, "decode.acc_seg": 70.03455, "aux.loss_seg": 0.16232, "aux.acc_seg": 68.73123, "loss": 0.5141, "time": 0.30065} -{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.37551, "decode.acc_seg": 68.8663, "aux.loss_seg": 0.17299, "aux.acc_seg": 67.66686, "loss": 0.5485, "time": 0.30055} -{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.35713, "decode.acc_seg": 70.1317, "aux.loss_seg": 0.16412, "aux.acc_seg": 68.83536, "loss": 0.52124, "time": 0.30029} -{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.3748, "decode.acc_seg": 68.84409, "aux.loss_seg": 0.17362, "aux.acc_seg": 67.42178, "loss": 0.54842, "time": 0.30163} -{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.35088, "decode.acc_seg": 69.75091, "aux.loss_seg": 0.16352, "aux.acc_seg": 68.53335, "loss": 0.51439, "time": 0.30357} -{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.35806, "decode.acc_seg": 69.26982, "aux.loss_seg": 0.16608, "aux.acc_seg": 67.88797, "loss": 0.52413, "time": 0.3031} -{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.34469, "decode.acc_seg": 69.59582, "aux.loss_seg": 0.15787, "aux.acc_seg": 68.59555, "loss": 0.50256, "time": 0.30055} -{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.36215, "decode.acc_seg": 69.72881, "aux.loss_seg": 0.16698, "aux.acc_seg": 68.44364, "loss": 0.52913, "time": 0.30023} -{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.35977, "decode.acc_seg": 71.35159, "aux.loss_seg": 0.16569, "aux.acc_seg": 70.07243, "loss": 0.52545, "time": 0.30009} -{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.37309, "decode.acc_seg": 69.75397, "aux.loss_seg": 0.17368, "aux.acc_seg": 68.52603, "loss": 0.54677, "time": 0.30075} -{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.37572, "decode.acc_seg": 69.80036, "aux.loss_seg": 0.17304, "aux.acc_seg": 68.39804, "loss": 0.54876, "time": 0.30114} -{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.35482, "decode.acc_seg": 69.10461, "aux.loss_seg": 0.16615, "aux.acc_seg": 67.72618, "loss": 0.52096, "time": 0.30078} -{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.36482, "decode.acc_seg": 69.01715, "aux.loss_seg": 0.16946, "aux.acc_seg": 67.64784, "loss": 0.53428, "time": 0.30133} -{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.37088, "decode.acc_seg": 69.80875, "aux.loss_seg": 0.17107, "aux.acc_seg": 68.57107, "loss": 0.54195, "time": 0.30092} -{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.36029, "decode.acc_seg": 69.4186, "aux.loss_seg": 0.16577, "aux.acc_seg": 68.12411, "loss": 0.52606, "time": 0.30145} -{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.36204, "decode.acc_seg": 68.6884, "aux.loss_seg": 0.16666, "aux.acc_seg": 67.59662, "loss": 0.52871, "time": 0.30062} -{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.3549, "decode.acc_seg": 69.10166, "aux.loss_seg": 0.16289, "aux.acc_seg": 67.8837, "loss": 0.51779, "time": 0.30068} -{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.3511, "decode.acc_seg": 71.01692, "aux.loss_seg": 0.16085, "aux.acc_seg": 69.83298, "loss": 0.51196, "time": 0.30143} -{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.34795, "decode.acc_seg": 70.00838, "aux.loss_seg": 0.15914, "aux.acc_seg": 68.89631, "loss": 0.50709, "time": 0.30018} -{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.36563, "decode.acc_seg": 68.28178, "aux.loss_seg": 0.16777, "aux.acc_seg": 66.96361, "loss": 0.5334, "time": 0.29978} -{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.36994, "decode.acc_seg": 69.53654, "aux.loss_seg": 0.16884, "aux.acc_seg": 68.35268, "loss": 0.53877, "time": 0.29917} -{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.36303, "decode.acc_seg": 68.981, "aux.loss_seg": 0.16766, "aux.acc_seg": 67.7491, "loss": 0.53069, "time": 0.29994} -{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.36267, "decode.acc_seg": 70.68526, "aux.loss_seg": 0.16781, "aux.acc_seg": 69.40664, "loss": 0.53049, "time": 0.30072} -{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 36160, "data_time": 0.1773, "decode.loss_seg": 0.3547, "decode.acc_seg": 69.49552, "aux.loss_seg": 0.16379, "aux.acc_seg": 68.32541, "loss": 0.51848, "time": 0.47109} -{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.34555, "decode.acc_seg": 69.81256, "aux.loss_seg": 0.16207, "aux.acc_seg": 68.55309, "loss": 0.50762, "time": 0.2989} -{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.3386, "decode.acc_seg": 68.53636, "aux.loss_seg": 0.15946, "aux.acc_seg": 67.21824, "loss": 0.49806, "time": 0.29941} -{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.34285, "decode.acc_seg": 70.24993, "aux.loss_seg": 0.16063, "aux.acc_seg": 68.76169, "loss": 0.50349, "time": 0.2995} -{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.34795, "decode.acc_seg": 69.10232, "aux.loss_seg": 0.16291, "aux.acc_seg": 67.78681, "loss": 0.51086, "time": 0.29935} -{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.34053, "decode.acc_seg": 69.66857, "aux.loss_seg": 0.1548, "aux.acc_seg": 68.62418, "loss": 0.49533, "time": 0.29909} -{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.34296, "decode.acc_seg": 69.35623, "aux.loss_seg": 0.15926, "aux.acc_seg": 68.04083, "loss": 0.50222, "time": 0.29883} -{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.3538, "decode.acc_seg": 69.50493, "aux.loss_seg": 0.16463, "aux.acc_seg": 68.24055, "loss": 0.51843, "time": 0.2998} -{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.35489, "decode.acc_seg": 69.95203, "aux.loss_seg": 0.16557, "aux.acc_seg": 68.70914, "loss": 0.52046, "time": 0.30046} -{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.37958, "decode.acc_seg": 69.28428, "aux.loss_seg": 0.1757, "aux.acc_seg": 68.05978, "loss": 0.55529, "time": 0.29991} -{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.35424, "decode.acc_seg": 68.76421, "aux.loss_seg": 0.1649, "aux.acc_seg": 67.1986, "loss": 0.51914, "time": 0.3} -{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.33357, "decode.acc_seg": 70.69398, "aux.loss_seg": 0.15379, "aux.acc_seg": 69.45662, "loss": 0.48736, "time": 0.30147} -{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.37111, "decode.acc_seg": 69.22479, "aux.loss_seg": 0.16963, "aux.acc_seg": 68.109, "loss": 0.54074, "time": 0.30194} -{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.35891, "decode.acc_seg": 68.58845, "aux.loss_seg": 0.16627, "aux.acc_seg": 67.32234, "loss": 0.52518, "time": 0.3021} -{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.35354, "decode.acc_seg": 69.05867, "aux.loss_seg": 0.16251, "aux.acc_seg": 67.85883, "loss": 0.51606, "time": 0.3022} -{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.37671, "decode.acc_seg": 68.31448, "aux.loss_seg": 0.17244, "aux.acc_seg": 67.22096, "loss": 0.54915, "time": 0.30148} -{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.35021, "decode.acc_seg": 69.92384, "aux.loss_seg": 0.16526, "aux.acc_seg": 68.57669, "loss": 0.51548, "time": 0.3011} -{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.36962, "decode.acc_seg": 69.19185, "aux.loss_seg": 0.16936, "aux.acc_seg": 67.96861, "loss": 0.53899, "time": 0.30098} -{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.37432, "decode.acc_seg": 70.27463, "aux.loss_seg": 0.17206, "aux.acc_seg": 69.03128, "loss": 0.54638, "time": 0.30074} -{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.35243, "decode.acc_seg": 69.45845, "aux.loss_seg": 0.1632, "aux.acc_seg": 68.20811, "loss": 0.51563, "time": 0.30012} -{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.35703, "decode.acc_seg": 69.54422, "aux.loss_seg": 0.16347, "aux.acc_seg": 68.42066, "loss": 0.5205, "time": 0.30003} -{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.35025, "decode.acc_seg": 69.65589, "aux.loss_seg": 0.16356, "aux.acc_seg": 68.34942, "loss": 0.51381, "time": 0.29991} -{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.36515, "decode.acc_seg": 69.24928, "aux.loss_seg": 0.16918, "aux.acc_seg": 67.93885, "loss": 0.53433, "time": 0.29953} -{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.35705, "decode.acc_seg": 69.57098, "aux.loss_seg": 0.16484, "aux.acc_seg": 68.24788, "loss": 0.52189, "time": 0.30052} -{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.35433, "decode.acc_seg": 70.23166, "aux.loss_seg": 0.16662, "aux.acc_seg": 68.66344, "loss": 0.52095, "time": 0.30046} -{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 36160, "data_time": 0.17746, "decode.loss_seg": 0.37172, "decode.acc_seg": 69.40389, "aux.loss_seg": 0.17265, "aux.acc_seg": 68.07222, "loss": 0.54437, "time": 0.47192} -{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.35246, "decode.acc_seg": 69.99126, "aux.loss_seg": 0.16351, "aux.acc_seg": 68.63667, "loss": 0.51597, "time": 0.30036} -{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.33183, "decode.acc_seg": 70.43734, "aux.loss_seg": 0.15501, "aux.acc_seg": 69.26556, "loss": 0.48684, "time": 0.30001} -{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.3539, "decode.acc_seg": 69.81374, "aux.loss_seg": 0.16301, "aux.acc_seg": 68.83982, "loss": 0.51691, "time": 0.30024} -{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.3166, "decode.acc_seg": 69.78948, "aux.loss_seg": 0.14968, "aux.acc_seg": 68.4864, "loss": 0.46628, "time": 0.29982} -{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.34469, "decode.acc_seg": 70.78178, "aux.loss_seg": 0.16287, "aux.acc_seg": 69.3597, "loss": 0.50755, "time": 0.29937} -{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.36696, "decode.acc_seg": 70.00964, "aux.loss_seg": 0.16861, "aux.acc_seg": 68.76832, "loss": 0.53557, "time": 0.29975} -{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.36869, "decode.acc_seg": 69.26767, "aux.loss_seg": 0.16753, "aux.acc_seg": 68.07863, "loss": 0.53622, "time": 0.29973} -{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4519, "mAcc": 0.5826, "aAcc": 0.8114, "IoU.wall": 0.7466, "IoU.building": 0.8051, "IoU.sky": 0.9374, "IoU.floor": 0.8024, "IoU.tree": 0.7352, "IoU.ceiling": 0.8244, "IoU.road": 0.8184, "IoU.bed ": 0.8396, "IoU.windowpane": 0.5825, "IoU.grass": 0.674, "IoU.cabinet": 0.5581, "IoU.sidewalk": 0.601, "IoU.person": 0.7588, "IoU.earth": 0.3562, "IoU.door": 0.4179, "IoU.table": 0.5387, "IoU.mountain": 0.5662, "IoU.plant": 0.511, "IoU.curtain": 0.6651, "IoU.chair": 0.4994, "IoU.car": 0.8078, "IoU.water": 0.5457, "IoU.painting": 0.7147, "IoU.sofa": 0.5654, "IoU.shelf": 0.3962, "IoU.house": 0.4562, "IoU.sea": 0.6112, "IoU.mirror": 0.5698, "IoU.rug": 0.6933, "IoU.field": 0.3101, "IoU.armchair": 0.3699, "IoU.seat": 0.6133, "IoU.fence": 0.394, "IoU.desk": 0.4325, "IoU.rock": 0.4649, "IoU.wardrobe": 0.4551, "IoU.lamp": 0.5409, "IoU.bathtub": 0.6677, "IoU.railing": 0.3116, "IoU.cushion": 0.5083, "IoU.base": 0.2432, "IoU.box": 0.2374, "IoU.column": 0.4307, "IoU.signboard": 0.3334, "IoU.chest of drawers": 0.3415, "IoU.counter": 0.29, "IoU.sand": 0.3708, "IoU.sink": 0.6509, "IoU.skyscraper": 0.6191, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6378, "IoU.grandstand": 0.4184, "IoU.path": 0.2042, "IoU.stairs": 0.2433, "IoU.runway": 0.709, "IoU.case": 0.3758, "IoU.pool table": 0.9047, "IoU.pillow": 0.4569, "IoU.screen door": 0.4998, "IoU.stairway": 0.2749, "IoU.river": 0.1127, "IoU.bridge": 0.6592, "IoU.bookcase": 0.3878, "IoU.blind": NaN, "IoU.coffee table": 0.4921, "IoU.toilet": 0.7777, "IoU.flower": 0.416, "IoU.book": 0.4149, "IoU.hill": 0.1218, "IoU.bench": 0.3815, "IoU.countertop": 0.5104, "IoU.stove": 0.6536, "IoU.palm": 0.4807, "IoU.kitchen island": 0.2911, "IoU.computer": 0.6563, "IoU.swivel chair": 0.4384, "IoU.boat": 0.5918, "IoU.bar": 0.4779, "IoU.arcade machine": 0.7343, "IoU.hovel": 0.3539, "IoU.bus": 0.7664, "IoU.towel": 0.5966, "IoU.light": 0.5028, "IoU.truck": 0.2982, "IoU.tower": 0.1228, "IoU.chandelier": 0.5885, "IoU.awning": 0.2246, "IoU.streetlight": 0.1902, "IoU.booth": 0.5065, "IoU.television receiver": NaN, "IoU.airplane": 0.5268, "IoU.dirt track": 0.0942, "IoU.apparel": 0.2971, "IoU.pole": 0.1354, "IoU.land": 0.0032, "IoU.bannister": 0.0972, "IoU.escalator": 0.3333, "IoU.ottoman": 0.4016, "IoU.bottle": NaN, "IoU.buffet": 0.5052, "IoU.poster": 0.258, "IoU.stage": 0.1597, "IoU.van": 0.2984, "IoU.ship": 0.62, "IoU.fountain": 0.1887, "IoU.conveyer belt": 0.6704, "IoU.canopy": 0.0723, "IoU.washer": 0.705, "IoU.plaything": 0.2201, "IoU.swimming pool": 0.6577, "IoU.stool": 0.308, "IoU.barrel": 0.4667, "IoU.basket": 0.282, "IoU.waterfall": 0.5616, "IoU.tent": 0.9284, "IoU.bag": 0.1364, "IoU.minibike": 0.6571, "IoU.cradle": NaN, "IoU.oven": 0.2777, "IoU.ball": 0.2985, "IoU.food": 0.548, "IoU.step": 0.04, "IoU.tank": 0.4821, "IoU.trade name": 0.2633, "IoU.microwave": 0.6948, "IoU.pot": 0.4844, "IoU.animal": NaN, "IoU.bicycle": 0.5334, "IoU.lake": 0.5073, "IoU.dishwasher": 0.4682, "IoU.screen": 0.58, "IoU.blanket": 0.0787, "IoU.sculpture": 0.4438, "IoU.hood": 0.5318, "IoU.sconce": 0.2709, "IoU.vase": 0.3263, "IoU.traffic light": 0.2324, "IoU.tray": 0.0242, "IoU.ashcan": 0.3767, "IoU.fan": 0.546, "IoU.pier": 0.2255, "IoU.crt screen": 0.0001, "IoU.plate": 0.5035, "IoU.monitor": 0.1063, "IoU.bulletin board": 0.4202, "IoU.shower": 0.0, "IoU.radiator": 0.5915, "IoU.glass": 0.1149, "IoU.clock": 0.3551, "IoU.flag": 0.5091, "Acc.wall": 0.8559, "Acc.building": 0.9176, "Acc.sky": 0.9687, "Acc.floor": 0.8897, "Acc.tree": 0.8749, "Acc.ceiling": 0.9225, "Acc.road": 0.8919, "Acc.bed ": 0.9446, "Acc.windowpane": 0.767, "Acc.grass": 0.7813, "Acc.cabinet": 0.7056, "Acc.sidewalk": 0.7443, "Acc.person": 0.9004, "Acc.earth": 0.5081, "Acc.door": 0.5539, "Acc.table": 0.7082, "Acc.mountain": 0.6397, "Acc.plant": 0.6167, "Acc.curtain": 0.8419, "Acc.chair": 0.6652, "Acc.car": 0.8874, "Acc.water": 0.7247, "Acc.painting": 0.8612, "Acc.sofa": 0.7174, "Acc.shelf": 0.6192, "Acc.house": 0.6169, "Acc.sea": 0.7272, "Acc.mirror": 0.6541, "Acc.rug": 0.7915, "Acc.field": 0.5691, "Acc.armchair": 0.5904, "Acc.seat": 0.8024, "Acc.fence": 0.5268, "Acc.desk": 0.6077, "Acc.rock": 0.6734, "Acc.wardrobe": 0.5684, "Acc.lamp": 0.6809, "Acc.bathtub": 0.806, "Acc.railing": 0.4023, "Acc.cushion": 0.625, "Acc.base": 0.3109, "Acc.box": 0.2898, "Acc.column": 0.5667, "Acc.signboard": 0.5235, "Acc.chest of drawers": 0.578, "Acc.counter": 0.3406, "Acc.sand": 0.5898, "Acc.sink": 0.7924, "Acc.skyscraper": 0.8694, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7324, "Acc.grandstand": 0.7173, "Acc.path": 0.4184, "Acc.stairs": 0.2832, "Acc.runway": 0.9631, "Acc.case": 0.424, "Acc.pool table": 0.9588, "Acc.pillow": 0.5267, "Acc.screen door": 0.5921, "Acc.stairway": 0.4084, "Acc.river": 0.278, "Acc.bridge": 0.8346, "Acc.bookcase": 0.5327, "Acc.blind": NaN, "Acc.coffee table": 0.8022, "Acc.toilet": 0.881, "Acc.flower": 0.5962, "Acc.book": 0.6025, "Acc.hill": 0.2194, "Acc.bench": 0.4561, "Acc.countertop": 0.6993, "Acc.stove": 0.7211, "Acc.palm": 0.7722, "Acc.kitchen island": 0.5313, "Acc.computer": 0.7724, "Acc.swivel chair": 0.6277, "Acc.boat": 0.7424, "Acc.bar": 0.7898, "Acc.arcade machine": 0.854, "Acc.hovel": 0.4328, "Acc.bus": 0.9552, "Acc.towel": 0.7667, "Acc.light": 0.6228, "Acc.truck": 0.4352, "Acc.tower": 0.1551, "Acc.chandelier": 0.8139, "Acc.awning": 0.2454, "Acc.streetlight": 0.26, "Acc.booth": 0.627, "Acc.television receiver": NaN, "Acc.airplane": 0.6874, "Acc.dirt track": 0.1751, "Acc.apparel": 0.47, "Acc.pole": 0.1705, "Acc.land": 0.0058, "Acc.bannister": 0.1187, "Acc.escalator": 0.3873, "Acc.ottoman": 0.5836, "Acc.bottle": NaN, "Acc.buffet": 0.6259, "Acc.poster": 0.3548, "Acc.stage": 0.258, "Acc.van": 0.3454, "Acc.ship": 0.7386, "Acc.fountain": 0.19, "Acc.conveyer belt": 0.9174, "Acc.canopy": 0.0817, "Acc.washer": 0.7432, "Acc.plaything": 0.3968, "Acc.swimming pool": 0.8646, "Acc.stool": 0.4598, "Acc.barrel": 0.65, "Acc.basket": 0.3779, "Acc.waterfall": 0.8129, "Acc.tent": 0.9844, "Acc.bag": 0.1622, "Acc.minibike": 0.8278, "Acc.cradle": NaN, "Acc.oven": 0.4303, "Acc.ball": 0.3094, "Acc.food": 0.6371, "Acc.step": 0.0456, "Acc.tank": 0.5915, "Acc.trade name": 0.3278, "Acc.microwave": 0.7992, "Acc.pot": 0.5428, "Acc.animal": NaN, "Acc.bicycle": 0.7191, "Acc.lake": 0.6181, "Acc.dishwasher": 0.5109, "Acc.screen": 0.9024, "Acc.blanket": 0.0913, "Acc.sculpture": 0.6838, "Acc.hood": 0.6429, "Acc.sconce": 0.3088, "Acc.vase": 0.5381, "Acc.traffic light": 0.3488, "Acc.tray": 0.0373, "Acc.ashcan": 0.542, "Acc.fan": 0.6868, "Acc.pier": 0.8611, "Acc.crt screen": 0.0002, "Acc.plate": 0.675, "Acc.monitor": 0.1328, "Acc.bulletin board": 0.6167, "Acc.shower": 0.0, "Acc.radiator": 0.6747, "Acc.glass": 0.1268, "Acc.clock": 0.4532, "Acc.flag": 0.5921} -{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 36160, "data_time": 1.34404, "decode.loss_seg": 0.34479, "decode.acc_seg": 69.69807, "aux.loss_seg": 0.1602, "aux.acc_seg": 68.53218, "loss": 0.50499, "time": 1.6445} -{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.3519, "decode.acc_seg": 69.75017, "aux.loss_seg": 0.16253, "aux.acc_seg": 68.47613, "loss": 0.51442, "time": 0.30149} -{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.34501, "decode.acc_seg": 69.13079, "aux.loss_seg": 0.15673, "aux.acc_seg": 68.18934, "loss": 0.50174, "time": 0.30025} -{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.3451, "decode.acc_seg": 69.61897, "aux.loss_seg": 0.15812, "aux.acc_seg": 68.44814, "loss": 0.50322, "time": 0.30089} -{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.35529, "decode.acc_seg": 68.90359, "aux.loss_seg": 0.16153, "aux.acc_seg": 67.79012, "loss": 0.51682, "time": 0.30037} -{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.35009, "decode.acc_seg": 68.84957, "aux.loss_seg": 0.16228, "aux.acc_seg": 67.73434, "loss": 0.51237, "time": 0.30002} -{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.33656, "decode.acc_seg": 69.52856, "aux.loss_seg": 0.15615, "aux.acc_seg": 68.21544, "loss": 0.4927, "time": 0.30014} -{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.35527, "decode.acc_seg": 70.38937, "aux.loss_seg": 0.1666, "aux.acc_seg": 68.95319, "loss": 0.52186, "time": 0.30038} -{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.36279, "decode.acc_seg": 70.51123, "aux.loss_seg": 0.16588, "aux.acc_seg": 69.21742, "loss": 0.52867, "time": 0.29989} -{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.35819, "decode.acc_seg": 69.56236, "aux.loss_seg": 0.16589, "aux.acc_seg": 68.37451, "loss": 0.52408, "time": 0.30001} -{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.36044, "decode.acc_seg": 69.89446, "aux.loss_seg": 0.16903, "aux.acc_seg": 68.34241, "loss": 0.52948, "time": 0.30013} -{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.35204, "decode.acc_seg": 70.08074, "aux.loss_seg": 0.16241, "aux.acc_seg": 68.88438, "loss": 0.51446, "time": 0.30082} -{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.34437, "decode.acc_seg": 69.99292, "aux.loss_seg": 0.15913, "aux.acc_seg": 68.77791, "loss": 0.5035, "time": 0.29984} -{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.35132, "decode.acc_seg": 69.03687, "aux.loss_seg": 0.16158, "aux.acc_seg": 68.02403, "loss": 0.51289, "time": 0.30082} -{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.3766, "decode.acc_seg": 68.60414, "aux.loss_seg": 0.17488, "aux.acc_seg": 67.34497, "loss": 0.55148, "time": 0.30314} -{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.33745, "decode.acc_seg": 70.72578, "aux.loss_seg": 0.15504, "aux.acc_seg": 69.56805, "loss": 0.49249, "time": 0.30122} -{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 36160, "data_time": 0.17697, "decode.loss_seg": 0.34962, "decode.acc_seg": 69.82343, "aux.loss_seg": 0.16296, "aux.acc_seg": 68.48479, "loss": 0.51259, "time": 0.47415} -{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.31006, "decode.acc_seg": 70.18999, "aux.loss_seg": 0.14681, "aux.acc_seg": 68.83878, "loss": 0.45687, "time": 0.30169} -{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 36160, "data_time": 0.00427, "decode.loss_seg": 0.33946, "decode.acc_seg": 69.24105, "aux.loss_seg": 0.16056, "aux.acc_seg": 67.61845, "loss": 0.50002, "time": 0.301} -{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.33373, "decode.acc_seg": 70.22247, "aux.loss_seg": 0.15806, "aux.acc_seg": 68.81962, "loss": 0.49179, "time": 0.30086} -{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.31941, "decode.acc_seg": 70.33133, "aux.loss_seg": 0.14799, "aux.acc_seg": 69.1659, "loss": 0.46739, "time": 0.30025} -{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.3282, "decode.acc_seg": 70.68827, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.45902, "loss": 0.4819, "time": 0.30052} -{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 36160, "data_time": 0.00458, "decode.loss_seg": 0.34479, "decode.acc_seg": 70.64895, "aux.loss_seg": 0.15974, "aux.acc_seg": 69.51213, "loss": 0.50453, "time": 0.30116} -{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.35592, "decode.acc_seg": 70.80519, "aux.loss_seg": 0.16499, "aux.acc_seg": 69.4992, "loss": 0.52091, "time": 0.30002} -{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.32379, "decode.acc_seg": 71.15951, "aux.loss_seg": 0.15168, "aux.acc_seg": 69.79546, "loss": 0.47547, "time": 0.30047} -{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.3557, "decode.acc_seg": 68.59779, "aux.loss_seg": 0.16539, "aux.acc_seg": 67.21707, "loss": 0.52109, "time": 0.30077} -{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.34008, "decode.acc_seg": 70.03489, "aux.loss_seg": 0.15601, "aux.acc_seg": 68.90203, "loss": 0.49609, "time": 0.30176} -{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.32137, "decode.acc_seg": 70.36819, "aux.loss_seg": 0.15019, "aux.acc_seg": 69.12276, "loss": 0.47156, "time": 0.30102} -{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.33043, "decode.acc_seg": 69.74442, "aux.loss_seg": 0.1539, "aux.acc_seg": 68.59965, "loss": 0.48433, "time": 0.30083} -{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.32497, "decode.acc_seg": 71.95462, "aux.loss_seg": 0.15263, "aux.acc_seg": 70.5933, "loss": 0.4776, "time": 0.3032} -{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.34737, "decode.acc_seg": 69.02126, "aux.loss_seg": 0.15897, "aux.acc_seg": 67.85046, "loss": 0.50634, "time": 0.30241} -{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.34957, "decode.acc_seg": 70.20913, "aux.loss_seg": 0.16072, "aux.acc_seg": 69.09615, "loss": 0.51029, "time": 0.3016} -{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.33931, "decode.acc_seg": 68.54629, "aux.loss_seg": 0.15929, "aux.acc_seg": 67.21245, "loss": 0.49859, "time": 0.30231} -{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.35127, "decode.acc_seg": 69.61631, "aux.loss_seg": 0.16264, "aux.acc_seg": 68.52264, "loss": 0.5139, "time": 0.30412} -{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.33959, "decode.acc_seg": 69.52258, "aux.loss_seg": 0.15922, "aux.acc_seg": 68.16516, "loss": 0.49881, "time": 0.30431} -{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.33133, "decode.acc_seg": 70.28749, "aux.loss_seg": 0.15595, "aux.acc_seg": 68.94904, "loss": 0.48728, "time": 0.30344} -{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.35972, "decode.acc_seg": 70.91003, "aux.loss_seg": 0.16549, "aux.acc_seg": 69.91162, "loss": 0.5252, "time": 0.3032} -{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.35797, "decode.acc_seg": 68.3604, "aux.loss_seg": 0.16212, "aux.acc_seg": 67.29769, "loss": 0.52008, "time": 0.30353} -{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.3362, "decode.acc_seg": 70.85737, "aux.loss_seg": 0.15717, "aux.acc_seg": 69.53085, "loss": 0.49338, "time": 0.30255} -{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.34459, "decode.acc_seg": 70.4107, "aux.loss_seg": 0.15936, "aux.acc_seg": 69.12514, "loss": 0.50395, "time": 0.30318} -{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.34446, "decode.acc_seg": 69.69661, "aux.loss_seg": 0.15887, "aux.acc_seg": 68.55625, "loss": 0.50333, "time": 0.30269} -{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.34996, "decode.acc_seg": 71.88627, "aux.loss_seg": 0.16121, "aux.acc_seg": 70.49463, "loss": 0.51117, "time": 0.30129} -{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 36160, "data_time": 0.15116, "decode.loss_seg": 0.34987, "decode.acc_seg": 69.11647, "aux.loss_seg": 0.16307, "aux.acc_seg": 67.66608, "loss": 0.51294, "time": 0.47277} -{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 36160, "data_time": 0.00408, "decode.loss_seg": 0.30864, "decode.acc_seg": 71.37412, "aux.loss_seg": 0.14339, "aux.acc_seg": 70.1134, "loss": 0.45203, "time": 0.30009} -{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 36160, "data_time": 0.00433, "decode.loss_seg": 0.32618, "decode.acc_seg": 70.00602, "aux.loss_seg": 0.15644, "aux.acc_seg": 68.45375, "loss": 0.48261, "time": 0.29933} -{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 36160, "data_time": 0.00425, "decode.loss_seg": 0.33576, "decode.acc_seg": 71.89163, "aux.loss_seg": 0.15704, "aux.acc_seg": 70.62283, "loss": 0.4928, "time": 0.29965} -{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 36160, "data_time": 0.00439, "decode.loss_seg": 0.32367, "decode.acc_seg": 70.68166, "aux.loss_seg": 0.1537, "aux.acc_seg": 69.07928, "loss": 0.47737, "time": 0.29952} -{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.33843, "decode.acc_seg": 70.58067, "aux.loss_seg": 0.1586, "aux.acc_seg": 69.3726, "loss": 0.49703, "time": 0.29917} -{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.33987, "decode.acc_seg": 69.21654, "aux.loss_seg": 0.15578, "aux.acc_seg": 68.09417, "loss": 0.49565, "time": 0.29973} -{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.32416, "decode.acc_seg": 70.25197, "aux.loss_seg": 0.15237, "aux.acc_seg": 68.98804, "loss": 0.47653, "time": 0.29979} -{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.33918, "decode.acc_seg": 70.58206, "aux.loss_seg": 0.15656, "aux.acc_seg": 69.46451, "loss": 0.49573, "time": 0.30186} -{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.3503, "decode.acc_seg": 69.28049, "aux.loss_seg": 0.16357, "aux.acc_seg": 67.88167, "loss": 0.51387, "time": 0.30242} -{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.36502, "decode.acc_seg": 70.19116, "aux.loss_seg": 0.17039, "aux.acc_seg": 68.72339, "loss": 0.53541, "time": 0.30225} -{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.32324, "decode.acc_seg": 71.44352, "aux.loss_seg": 0.15095, "aux.acc_seg": 70.05915, "loss": 0.4742, "time": 0.30127} -{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.3529, "decode.acc_seg": 69.27404, "aux.loss_seg": 0.16325, "aux.acc_seg": 68.04199, "loss": 0.51615, "time": 0.3008} -{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.33456, "decode.acc_seg": 68.72889, "aux.loss_seg": 0.15461, "aux.acc_seg": 67.44717, "loss": 0.48916, "time": 0.30004} -{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.3354, "decode.acc_seg": 69.08551, "aux.loss_seg": 0.15756, "aux.acc_seg": 67.74457, "loss": 0.49296, "time": 0.3004} -{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.35642, "decode.acc_seg": 70.47796, "aux.loss_seg": 0.16661, "aux.acc_seg": 69.16938, "loss": 0.52303, "time": 0.30002} -{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.34371, "decode.acc_seg": 68.62966, "aux.loss_seg": 0.1593, "aux.acc_seg": 67.24843, "loss": 0.50301, "time": 0.30051} -{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.33505, "decode.acc_seg": 71.27454, "aux.loss_seg": 0.15856, "aux.acc_seg": 69.80408, "loss": 0.49361, "time": 0.30166} -{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.32078, "decode.acc_seg": 71.17697, "aux.loss_seg": 0.15116, "aux.acc_seg": 69.64962, "loss": 0.47194, "time": 0.30066} -{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.34651, "decode.acc_seg": 68.43575, "aux.loss_seg": 0.16295, "aux.acc_seg": 66.95433, "loss": 0.50946, "time": 0.30243} -{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.33267, "decode.acc_seg": 68.84731, "aux.loss_seg": 0.15618, "aux.acc_seg": 67.5565, "loss": 0.48885, "time": 0.30221} -{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.32466, "decode.acc_seg": 69.95769, "aux.loss_seg": 0.1522, "aux.acc_seg": 68.76533, "loss": 0.47687, "time": 0.30284} -{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.34936, "decode.acc_seg": 69.84886, "aux.loss_seg": 0.16289, "aux.acc_seg": 68.52032, "loss": 0.51225, "time": 0.30336} -{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.33033, "decode.acc_seg": 71.68946, "aux.loss_seg": 0.15488, "aux.acc_seg": 70.46943, "loss": 0.4852, "time": 0.3016} -{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.34403, "decode.acc_seg": 70.8463, "aux.loss_seg": 0.15753, "aux.acc_seg": 69.49801, "loss": 0.50156, "time": 0.30088} -{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 36160, "data_time": 0.14908, "decode.loss_seg": 0.31757, "decode.acc_seg": 70.43575, "aux.loss_seg": 0.15069, "aux.acc_seg": 69.05643, "loss": 0.46826, "time": 0.46885} -{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.32028, "decode.acc_seg": 69.56941, "aux.loss_seg": 0.15157, "aux.acc_seg": 68.24515, "loss": 0.47185, "time": 0.30045} -{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.32183, "decode.acc_seg": 70.69025, "aux.loss_seg": 0.1523, "aux.acc_seg": 69.23683, "loss": 0.47413, "time": 0.30152} -{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.34097, "decode.acc_seg": 69.72516, "aux.loss_seg": 0.16055, "aux.acc_seg": 68.31696, "loss": 0.50152, "time": 0.29997} -{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.30132, "decode.acc_seg": 69.98693, "aux.loss_seg": 0.14519, "aux.acc_seg": 68.41819, "loss": 0.44652, "time": 0.29938} -{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.32511, "decode.acc_seg": 70.78212, "aux.loss_seg": 0.15475, "aux.acc_seg": 69.34994, "loss": 0.47986, "time": 0.30053} -{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.32283, "decode.acc_seg": 71.23774, "aux.loss_seg": 0.15346, "aux.acc_seg": 69.67517, "loss": 0.47629, "time": 0.30121} -{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.35332, "decode.acc_seg": 69.31713, "aux.loss_seg": 0.16245, "aux.acc_seg": 68.1333, "loss": 0.51576, "time": 0.29976} -{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.32016, "decode.acc_seg": 71.75782, "aux.loss_seg": 0.15106, "aux.acc_seg": 70.34019, "loss": 0.47122, "time": 0.30107} -{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.35034, "decode.acc_seg": 69.32983, "aux.loss_seg": 0.16039, "aux.acc_seg": 68.08295, "loss": 0.51073, "time": 0.30076} -{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.3333, "decode.acc_seg": 69.42579, "aux.loss_seg": 0.15509, "aux.acc_seg": 68.06161, "loss": 0.48839, "time": 0.30071} -{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.33995, "decode.acc_seg": 71.18998, "aux.loss_seg": 0.15848, "aux.acc_seg": 69.78312, "loss": 0.49843, "time": 0.30297} -{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.3432, "decode.acc_seg": 70.01807, "aux.loss_seg": 0.15908, "aux.acc_seg": 68.73856, "loss": 0.50227, "time": 0.30281} -{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.32268, "decode.acc_seg": 70.82144, "aux.loss_seg": 0.15153, "aux.acc_seg": 69.40394, "loss": 0.47422, "time": 0.30322} -{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.33151, "decode.acc_seg": 70.07392, "aux.loss_seg": 0.15213, "aux.acc_seg": 69.03882, "loss": 0.48364, "time": 0.30214} -{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.31292, "decode.acc_seg": 70.66961, "aux.loss_seg": 0.1471, "aux.acc_seg": 69.35067, "loss": 0.46002, "time": 0.30275} -{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.34891, "decode.acc_seg": 69.86326, "aux.loss_seg": 0.16286, "aux.acc_seg": 68.64511, "loss": 0.51177, "time": 0.30325} -{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.35294, "decode.acc_seg": 69.95324, "aux.loss_seg": 0.16506, "aux.acc_seg": 68.35837, "loss": 0.51799, "time": 0.30312} -{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.32558, "decode.acc_seg": 71.42762, "aux.loss_seg": 0.15199, "aux.acc_seg": 70.1231, "loss": 0.47758, "time": 0.30087} -{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.31058, "decode.acc_seg": 71.18929, "aux.loss_seg": 0.14436, "aux.acc_seg": 70.06333, "loss": 0.45494, "time": 0.30157} -{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.31447, "decode.acc_seg": 68.98544, "aux.loss_seg": 0.14766, "aux.acc_seg": 67.85486, "loss": 0.46212, "time": 0.3024} -{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.34537, "decode.acc_seg": 69.99281, "aux.loss_seg": 0.16079, "aux.acc_seg": 68.49448, "loss": 0.50616, "time": 0.30391} -{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.32483, "decode.acc_seg": 69.98505, "aux.loss_seg": 0.15324, "aux.acc_seg": 68.74797, "loss": 0.47808, "time": 0.30276} -{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.31875, "decode.acc_seg": 70.00205, "aux.loss_seg": 0.1478, "aux.acc_seg": 68.77481, "loss": 0.46655, "time": 0.30212} -{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.35375, "decode.acc_seg": 69.58597, "aux.loss_seg": 0.16272, "aux.acc_seg": 68.34791, "loss": 0.51647, "time": 0.30318} -{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 36160, "data_time": 0.17204, "decode.loss_seg": 0.34395, "decode.acc_seg": 69.24054, "aux.loss_seg": 0.1581, "aux.acc_seg": 67.96262, "loss": 0.50205, "time": 0.46841} -{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.33751, "decode.acc_seg": 69.74939, "aux.loss_seg": 0.15856, "aux.acc_seg": 68.28689, "loss": 0.49607, "time": 0.30121} -{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.32593, "decode.acc_seg": 69.37045, "aux.loss_seg": 0.15465, "aux.acc_seg": 68.0113, "loss": 0.48058, "time": 0.30075} -{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.31243, "decode.acc_seg": 70.44461, "aux.loss_seg": 0.14447, "aux.acc_seg": 69.17895, "loss": 0.4569, "time": 0.30087} -{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.32275, "decode.acc_seg": 70.47292, "aux.loss_seg": 0.15008, "aux.acc_seg": 69.19471, "loss": 0.47283, "time": 0.30083} -{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.32906, "decode.acc_seg": 70.37929, "aux.loss_seg": 0.15439, "aux.acc_seg": 69.10422, "loss": 0.48345, "time": 0.30166} -{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.30604, "decode.acc_seg": 71.08979, "aux.loss_seg": 0.14656, "aux.acc_seg": 69.70789, "loss": 0.45261, "time": 0.30124} -{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.33048, "decode.acc_seg": 70.4968, "aux.loss_seg": 0.15552, "aux.acc_seg": 69.18294, "loss": 0.486, "time": 0.30081} -{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.31037, "decode.acc_seg": 69.64598, "aux.loss_seg": 0.14607, "aux.acc_seg": 68.33543, "loss": 0.45645, "time": 0.30064} -{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.32199, "decode.acc_seg": 70.99865, "aux.loss_seg": 0.15083, "aux.acc_seg": 69.59636, "loss": 0.47283, "time": 0.30117} -{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.30729, "decode.acc_seg": 71.04261, "aux.loss_seg": 0.14823, "aux.acc_seg": 69.4104, "loss": 0.45552, "time": 0.29989} -{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.33428, "decode.acc_seg": 69.81443, "aux.loss_seg": 0.15545, "aux.acc_seg": 68.62293, "loss": 0.48972, "time": 0.30096} -{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.33598, "decode.acc_seg": 69.56526, "aux.loss_seg": 0.15671, "aux.acc_seg": 68.28622, "loss": 0.49268, "time": 0.30199} -{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.33268, "decode.acc_seg": 71.68765, "aux.loss_seg": 0.15591, "aux.acc_seg": 70.47806, "loss": 0.48859, "time": 0.30228} -{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.33696, "decode.acc_seg": 69.84258, "aux.loss_seg": 0.1598, "aux.acc_seg": 68.48965, "loss": 0.49676, "time": 0.30146} -{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.33075, "decode.acc_seg": 69.73296, "aux.loss_seg": 0.15261, "aux.acc_seg": 68.53752, "loss": 0.48336, "time": 0.30192} -{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.33425, "decode.acc_seg": 69.99085, "aux.loss_seg": 0.15382, "aux.acc_seg": 68.94702, "loss": 0.48807, "time": 0.30034} -{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.35058, "decode.acc_seg": 69.94317, "aux.loss_seg": 0.16116, "aux.acc_seg": 68.66579, "loss": 0.51175, "time": 0.30112} -{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.31834, "decode.acc_seg": 70.12754, "aux.loss_seg": 0.14774, "aux.acc_seg": 68.91756, "loss": 0.46608, "time": 0.3008} -{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.32482, "decode.acc_seg": 70.54486, "aux.loss_seg": 0.1518, "aux.acc_seg": 69.21478, "loss": 0.47662, "time": 0.30089} -{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.33767, "decode.acc_seg": 70.48973, "aux.loss_seg": 0.15729, "aux.acc_seg": 69.14611, "loss": 0.49496, "time": 0.30119} -{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.32909, "decode.acc_seg": 70.48619, "aux.loss_seg": 0.15395, "aux.acc_seg": 69.14993, "loss": 0.48304, "time": 0.3006} -{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.34885, "decode.acc_seg": 71.45132, "aux.loss_seg": 0.16373, "aux.acc_seg": 70.15906, "loss": 0.51258, "time": 0.30041} -{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.30632, "decode.acc_seg": 70.34728, "aux.loss_seg": 0.14222, "aux.acc_seg": 69.17465, "loss": 0.44854, "time": 0.30089} -{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.31819, "decode.acc_seg": 71.0412, "aux.loss_seg": 0.15227, "aux.acc_seg": 69.62685, "loss": 0.47046, "time": 0.30284} -{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 36160, "data_time": 0.16502, "decode.loss_seg": 0.32979, "decode.acc_seg": 70.12424, "aux.loss_seg": 0.15559, "aux.acc_seg": 68.89081, "loss": 0.48538, "time": 0.46146} -{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.30356, "decode.acc_seg": 71.97383, "aux.loss_seg": 0.14432, "aux.acc_seg": 70.68271, "loss": 0.44788, "time": 0.30046} -{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.31282, "decode.acc_seg": 71.23292, "aux.loss_seg": 0.14929, "aux.acc_seg": 69.8961, "loss": 0.46211, "time": 0.3007} -{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.32835, "decode.acc_seg": 69.98089, "aux.loss_seg": 0.15221, "aux.acc_seg": 68.67854, "loss": 0.48056, "time": 0.30082} -{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.33127, "decode.acc_seg": 70.59685, "aux.loss_seg": 0.15633, "aux.acc_seg": 69.2756, "loss": 0.4876, "time": 0.29986} -{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.34914, "decode.acc_seg": 70.00713, "aux.loss_seg": 0.16066, "aux.acc_seg": 68.68429, "loss": 0.50979, "time": 0.29924} -{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.33744, "decode.acc_seg": 69.90707, "aux.loss_seg": 0.15623, "aux.acc_seg": 68.46921, "loss": 0.49367, "time": 0.29857} -{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.33888, "decode.acc_seg": 71.24477, "aux.loss_seg": 0.15982, "aux.acc_seg": 69.85885, "loss": 0.4987, "time": 0.29925} -{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.32422, "decode.acc_seg": 68.67575, "aux.loss_seg": 0.15065, "aux.acc_seg": 67.38394, "loss": 0.47486, "time": 0.30411} -{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.3238, "decode.acc_seg": 71.33126, "aux.loss_seg": 0.14948, "aux.acc_seg": 70.03267, "loss": 0.47328, "time": 0.30419} -{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.30417, "decode.acc_seg": 70.33639, "aux.loss_seg": 0.14368, "aux.acc_seg": 69.05661, "loss": 0.44785, "time": 0.30196} -{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.30405, "decode.acc_seg": 70.57183, "aux.loss_seg": 0.14649, "aux.acc_seg": 69.03615, "loss": 0.45054, "time": 0.30319} -{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.31273, "decode.acc_seg": 69.71117, "aux.loss_seg": 0.14806, "aux.acc_seg": 68.46646, "loss": 0.46078, "time": 0.30162} -{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.32332, "decode.acc_seg": 72.53008, "aux.loss_seg": 0.15057, "aux.acc_seg": 71.24178, "loss": 0.47389, "time": 0.3017} -{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.30437, "decode.acc_seg": 69.67532, "aux.loss_seg": 0.14509, "aux.acc_seg": 68.30867, "loss": 0.44946, "time": 0.30072} -{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.30799, "decode.acc_seg": 69.99925, "aux.loss_seg": 0.14417, "aux.acc_seg": 68.90882, "loss": 0.45216, "time": 0.30137} -{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.3062, "decode.acc_seg": 70.09591, "aux.loss_seg": 0.14402, "aux.acc_seg": 68.72352, "loss": 0.45022, "time": 0.29991} -{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.31701, "decode.acc_seg": 70.67016, "aux.loss_seg": 0.15018, "aux.acc_seg": 69.35125, "loss": 0.46718, "time": 0.30134} -{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.3229, "decode.acc_seg": 70.33653, "aux.loss_seg": 0.15114, "aux.acc_seg": 69.07026, "loss": 0.47404, "time": 0.30066} -{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.32204, "decode.acc_seg": 70.17556, "aux.loss_seg": 0.15155, "aux.acc_seg": 68.82841, "loss": 0.47358, "time": 0.29911} -{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.32703, "decode.acc_seg": 70.92427, "aux.loss_seg": 0.15372, "aux.acc_seg": 69.51651, "loss": 0.48076, "time": 0.29925} -{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.29755, "decode.acc_seg": 71.36433, "aux.loss_seg": 0.14082, "aux.acc_seg": 70.02968, "loss": 0.43837, "time": 0.30161} -{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.32472, "decode.acc_seg": 69.74477, "aux.loss_seg": 0.14929, "aux.acc_seg": 68.60375, "loss": 0.47401, "time": 0.30158} -{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.32405, "decode.acc_seg": 72.08762, "aux.loss_seg": 0.15183, "aux.acc_seg": 70.86602, "loss": 0.47587, "time": 0.30082} -{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.30938, "decode.acc_seg": 70.20031, "aux.loss_seg": 0.14692, "aux.acc_seg": 68.85665, "loss": 0.4563, "time": 0.30128} -{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.36408, "decode.acc_seg": 69.64331, "aux.loss_seg": 0.16694, "aux.acc_seg": 68.4683, "loss": 0.53102, "time": 0.30013} -{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 36160, "data_time": 0.17301, "decode.loss_seg": 0.33069, "decode.acc_seg": 71.89961, "aux.loss_seg": 0.15615, "aux.acc_seg": 70.55648, "loss": 0.48684, "time": 0.46797} -{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.32269, "decode.acc_seg": 70.46842, "aux.loss_seg": 0.14963, "aux.acc_seg": 69.29719, "loss": 0.47231, "time": 0.29954} -{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.33882, "decode.acc_seg": 70.25937, "aux.loss_seg": 0.16101, "aux.acc_seg": 68.88043, "loss": 0.49983, "time": 0.29971} -{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.31294, "decode.acc_seg": 70.27308, "aux.loss_seg": 0.14685, "aux.acc_seg": 69.09894, "loss": 0.45979, "time": 0.29976} -{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.32041, "decode.acc_seg": 70.34563, "aux.loss_seg": 0.15241, "aux.acc_seg": 68.97345, "loss": 0.47282, "time": 0.30019} -{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.3086, "decode.acc_seg": 71.38722, "aux.loss_seg": 0.14594, "aux.acc_seg": 70.14475, "loss": 0.45454, "time": 0.29968} -{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30159, "decode.acc_seg": 70.44881, "aux.loss_seg": 0.14193, "aux.acc_seg": 69.19523, "loss": 0.44351, "time": 0.30134} -{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.30331, "decode.acc_seg": 69.61227, "aux.loss_seg": 0.14321, "aux.acc_seg": 68.32318, "loss": 0.44652, "time": 0.30152} -{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.3186, "decode.acc_seg": 71.13928, "aux.loss_seg": 0.14975, "aux.acc_seg": 69.86626, "loss": 0.46835, "time": 0.29974} -{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.33423, "decode.acc_seg": 70.99062, "aux.loss_seg": 0.15912, "aux.acc_seg": 69.60031, "loss": 0.49335, "time": 0.30295} -{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.33751, "decode.acc_seg": 71.59877, "aux.loss_seg": 0.15715, "aux.acc_seg": 70.20597, "loss": 0.49466, "time": 0.30199} -{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.29685, "decode.acc_seg": 72.15599, "aux.loss_seg": 0.1401, "aux.acc_seg": 70.82646, "loss": 0.43695, "time": 0.3015} -{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.31975, "decode.acc_seg": 70.43331, "aux.loss_seg": 0.15021, "aux.acc_seg": 69.08346, "loss": 0.46995, "time": 0.30145} -{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.31051, "decode.acc_seg": 69.80109, "aux.loss_seg": 0.14339, "aux.acc_seg": 68.58823, "loss": 0.4539, "time": 0.30172} -{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.32611, "decode.acc_seg": 70.64452, "aux.loss_seg": 0.15529, "aux.acc_seg": 69.11691, "loss": 0.4814, "time": 0.30013} -{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30728, "decode.acc_seg": 72.26145, "aux.loss_seg": 0.14572, "aux.acc_seg": 70.87341, "loss": 0.453, "time": 0.30177} -{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.32265, "decode.acc_seg": 72.00204, "aux.loss_seg": 0.15337, "aux.acc_seg": 70.66533, "loss": 0.47602, "time": 0.3015} -{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.29786, "decode.acc_seg": 69.55583, "aux.loss_seg": 0.14237, "aux.acc_seg": 68.10016, "loss": 0.44023, "time": 0.30017} -{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.29666, "decode.acc_seg": 71.47428, "aux.loss_seg": 0.14146, "aux.acc_seg": 70.1984, "loss": 0.43811, "time": 0.30051} -{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.33976, "decode.acc_seg": 69.62459, "aux.loss_seg": 0.15764, "aux.acc_seg": 68.26349, "loss": 0.49741, "time": 0.30117} -{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.30623, "decode.acc_seg": 70.08562, "aux.loss_seg": 0.14443, "aux.acc_seg": 68.69726, "loss": 0.45066, "time": 0.30028} -{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.29352, "decode.acc_seg": 71.94479, "aux.loss_seg": 0.1392, "aux.acc_seg": 70.66143, "loss": 0.43272, "time": 0.30052} -{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.31945, "decode.acc_seg": 71.07776, "aux.loss_seg": 0.14804, "aux.acc_seg": 69.93764, "loss": 0.46749, "time": 0.2997} -{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.32082, "decode.acc_seg": 69.42577, "aux.loss_seg": 0.14899, "aux.acc_seg": 68.14945, "loss": 0.4698, "time": 0.30218} -{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.31188, "decode.acc_seg": 70.02775, "aux.loss_seg": 0.14658, "aux.acc_seg": 68.84849, "loss": 0.45846, "time": 0.3014} -{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 36160, "data_time": 0.1663, "decode.loss_seg": 0.29714, "decode.acc_seg": 71.87043, "aux.loss_seg": 0.14057, "aux.acc_seg": 70.66603, "loss": 0.43771, "time": 0.46106} -{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.30141, "decode.acc_seg": 70.05015, "aux.loss_seg": 0.14295, "aux.acc_seg": 68.72386, "loss": 0.44437, "time": 0.29862} -{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.29876, "decode.acc_seg": 71.46672, "aux.loss_seg": 0.14226, "aux.acc_seg": 70.14609, "loss": 0.44103, "time": 0.30048} -{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.29568, "decode.acc_seg": 70.95893, "aux.loss_seg": 0.13945, "aux.acc_seg": 69.61957, "loss": 0.43513, "time": 0.29943} -{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.30401, "decode.acc_seg": 71.58547, "aux.loss_seg": 0.14368, "aux.acc_seg": 70.258, "loss": 0.44769, "time": 0.29938} -{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.31836, "decode.acc_seg": 70.22622, "aux.loss_seg": 0.14825, "aux.acc_seg": 68.9698, "loss": 0.46661, "time": 0.29975} -{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.30924, "decode.acc_seg": 71.78449, "aux.loss_seg": 0.14803, "aux.acc_seg": 70.40684, "loss": 0.45727, "time": 0.30024} -{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.30092, "decode.acc_seg": 70.36461, "aux.loss_seg": 0.14223, "aux.acc_seg": 69.08069, "loss": 0.44315, "time": 0.30052} -{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.31014, "decode.acc_seg": 72.16714, "aux.loss_seg": 0.14718, "aux.acc_seg": 70.72467, "loss": 0.45733, "time": 0.30013} -{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.29264, "decode.acc_seg": 72.41891, "aux.loss_seg": 0.13926, "aux.acc_seg": 71.0193, "loss": 0.4319, "time": 0.30254} -{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.30663, "decode.acc_seg": 72.06482, "aux.loss_seg": 0.14374, "aux.acc_seg": 70.9002, "loss": 0.45037, "time": 0.30241} -{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.3043, "decode.acc_seg": 71.72775, "aux.loss_seg": 0.14258, "aux.acc_seg": 70.48207, "loss": 0.44688, "time": 0.30138} -{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30938, "decode.acc_seg": 71.88332, "aux.loss_seg": 0.14333, "aux.acc_seg": 70.80969, "loss": 0.45271, "time": 0.3001} -{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.30246, "decode.acc_seg": 70.24804, "aux.loss_seg": 0.14247, "aux.acc_seg": 68.88077, "loss": 0.44493, "time": 0.3019} -{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.31873, "decode.acc_seg": 71.33484, "aux.loss_seg": 0.14919, "aux.acc_seg": 69.90172, "loss": 0.46792, "time": 0.30128} -{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.31288, "decode.acc_seg": 70.48811, "aux.loss_seg": 0.14812, "aux.acc_seg": 69.13256, "loss": 0.461, "time": 0.30167} -{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.32673, "decode.acc_seg": 70.7991, "aux.loss_seg": 0.1521, "aux.acc_seg": 69.43487, "loss": 0.47883, "time": 0.30323} -{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.32095, "decode.acc_seg": 69.85842, "aux.loss_seg": 0.15239, "aux.acc_seg": 68.30171, "loss": 0.47334, "time": 0.30388} -{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.30771, "decode.acc_seg": 70.30064, "aux.loss_seg": 0.14646, "aux.acc_seg": 68.83019, "loss": 0.45418, "time": 0.30293} -{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.30555, "decode.acc_seg": 71.28796, "aux.loss_seg": 0.14322, "aux.acc_seg": 70.13898, "loss": 0.44877, "time": 0.30208} -{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.29641, "decode.acc_seg": 71.60228, "aux.loss_seg": 0.13922, "aux.acc_seg": 70.35008, "loss": 0.43563, "time": 0.30101} -{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.32284, "decode.acc_seg": 70.27144, "aux.loss_seg": 0.15158, "aux.acc_seg": 69.11605, "loss": 0.47442, "time": 0.30083} -{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.3159, "decode.acc_seg": 71.64014, "aux.loss_seg": 0.1481, "aux.acc_seg": 70.28475, "loss": 0.464, "time": 0.30163} -{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.31738, "decode.acc_seg": 70.17247, "aux.loss_seg": 0.14888, "aux.acc_seg": 68.90706, "loss": 0.46626, "time": 0.30127} -{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.32237, "decode.acc_seg": 70.64149, "aux.loss_seg": 0.14979, "aux.acc_seg": 69.43978, "loss": 0.47216, "time": 0.3005} -{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 36160, "data_time": 0.17933, "decode.loss_seg": 0.31382, "decode.acc_seg": 71.78462, "aux.loss_seg": 0.14913, "aux.acc_seg": 70.45559, "loss": 0.46295, "time": 0.47398} -{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.31273, "decode.acc_seg": 71.5399, "aux.loss_seg": 0.14696, "aux.acc_seg": 70.30742, "loss": 0.45969, "time": 0.30112} -{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.29282, "decode.acc_seg": 71.24557, "aux.loss_seg": 0.13861, "aux.acc_seg": 69.90895, "loss": 0.43143, "time": 0.30045} -{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.3092, "decode.acc_seg": 71.38536, "aux.loss_seg": 0.14472, "aux.acc_seg": 70.12222, "loss": 0.45392, "time": 0.29925} -{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.31937, "decode.acc_seg": 70.70036, "aux.loss_seg": 0.14968, "aux.acc_seg": 69.36598, "loss": 0.46905, "time": 0.29922} -{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.34041, "decode.acc_seg": 71.06541, "aux.loss_seg": 0.15713, "aux.acc_seg": 69.66868, "loss": 0.49754, "time": 0.30124} -{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.31102, "decode.acc_seg": 69.32687, "aux.loss_seg": 0.1468, "aux.acc_seg": 68.09212, "loss": 0.45782, "time": 0.3002} -{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.31691, "decode.acc_seg": 70.63418, "aux.loss_seg": 0.15144, "aux.acc_seg": 69.14355, "loss": 0.46835, "time": 0.3006} -{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.30258, "decode.acc_seg": 71.06618, "aux.loss_seg": 0.14209, "aux.acc_seg": 69.81674, "loss": 0.44467, "time": 0.30301} -{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.28325, "decode.acc_seg": 71.23429, "aux.loss_seg": 0.13665, "aux.acc_seg": 69.66793, "loss": 0.4199, "time": 0.30236} -{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.29061, "decode.acc_seg": 70.57278, "aux.loss_seg": 0.13836, "aux.acc_seg": 69.21696, "loss": 0.42897, "time": 0.30082} -{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.31999, "decode.acc_seg": 70.14454, "aux.loss_seg": 0.14999, "aux.acc_seg": 68.80193, "loss": 0.46998, "time": 0.30069} -{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.32328, "decode.acc_seg": 71.72998, "aux.loss_seg": 0.15094, "aux.acc_seg": 70.55351, "loss": 0.47422, "time": 0.30011} -{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.27759, "decode.acc_seg": 72.5605, "aux.loss_seg": 0.13099, "aux.acc_seg": 71.36782, "loss": 0.40858, "time": 0.30097} -{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.28987, "decode.acc_seg": 72.09092, "aux.loss_seg": 0.13495, "aux.acc_seg": 70.8972, "loss": 0.42481, "time": 0.3003} -{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.29618, "decode.acc_seg": 72.20173, "aux.loss_seg": 0.13874, "aux.acc_seg": 70.96705, "loss": 0.43491, "time": 0.30078} -{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.30275, "decode.acc_seg": 71.30938, "aux.loss_seg": 0.14235, "aux.acc_seg": 70.13133, "loss": 0.4451, "time": 0.30229} -{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.31083, "decode.acc_seg": 69.82305, "aux.loss_seg": 0.14624, "aux.acc_seg": 68.53337, "loss": 0.45707, "time": 0.30117} -{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.2956, "decode.acc_seg": 71.44411, "aux.loss_seg": 0.14025, "aux.acc_seg": 70.19033, "loss": 0.43585, "time": 0.30238} -{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.31333, "decode.acc_seg": 70.28672, "aux.loss_seg": 0.14742, "aux.acc_seg": 68.99876, "loss": 0.46075, "time": 0.30302} -{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.30701, "decode.acc_seg": 71.17148, "aux.loss_seg": 0.14398, "aux.acc_seg": 69.9562, "loss": 0.45099, "time": 0.30212} -{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.30853, "decode.acc_seg": 71.19946, "aux.loss_seg": 0.14646, "aux.acc_seg": 69.93784, "loss": 0.45499, "time": 0.30227} -{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.30847, "decode.acc_seg": 70.54298, "aux.loss_seg": 0.14641, "aux.acc_seg": 69.31869, "loss": 0.45488, "time": 0.30254} -{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.30849, "decode.acc_seg": 70.13358, "aux.loss_seg": 0.14594, "aux.acc_seg": 68.80287, "loss": 0.45443, "time": 0.30221} -{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.29246, "decode.acc_seg": 72.03653, "aux.loss_seg": 0.13781, "aux.acc_seg": 70.65984, "loss": 0.43026, "time": 0.30211} -{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 36160, "data_time": 0.16703, "decode.loss_seg": 0.30407, "decode.acc_seg": 70.3779, "aux.loss_seg": 0.14507, "aux.acc_seg": 68.9203, "loss": 0.44914, "time": 0.46306} -{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.28731, "decode.acc_seg": 70.50573, "aux.loss_seg": 0.13642, "aux.acc_seg": 69.20725, "loss": 0.42373, "time": 0.30046} -{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.30405, "decode.acc_seg": 71.27428, "aux.loss_seg": 0.14453, "aux.acc_seg": 69.88095, "loss": 0.44858, "time": 0.30047} -{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.30303, "decode.acc_seg": 70.65152, "aux.loss_seg": 0.14212, "aux.acc_seg": 69.39219, "loss": 0.44515, "time": 0.30053} -{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.29298, "decode.acc_seg": 71.43552, "aux.loss_seg": 0.13802, "aux.acc_seg": 70.13348, "loss": 0.431, "time": 0.29996} -{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 36160, "data_time": 0.00647, "decode.loss_seg": 0.29364, "decode.acc_seg": 72.7677, "aux.loss_seg": 0.14049, "aux.acc_seg": 71.30645, "loss": 0.43413, "time": 0.29912} -{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.2965, "decode.acc_seg": 71.43365, "aux.loss_seg": 0.13958, "aux.acc_seg": 70.14515, "loss": 0.43608, "time": 0.29915} -{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.31282, "decode.acc_seg": 72.10814, "aux.loss_seg": 0.1488, "aux.acc_seg": 70.75814, "loss": 0.46162, "time": 0.29917} -{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.30116, "decode.acc_seg": 70.3872, "aux.loss_seg": 0.14155, "aux.acc_seg": 69.22683, "loss": 0.44272, "time": 0.30189} -{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.28295, "decode.acc_seg": 71.0681, "aux.loss_seg": 0.13539, "aux.acc_seg": 69.78455, "loss": 0.41834, "time": 0.30156} -{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.29136, "decode.acc_seg": 71.6561, "aux.loss_seg": 0.13855, "aux.acc_seg": 70.29246, "loss": 0.42991, "time": 0.30137} -{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 36160, "data_time": 0.00645, "decode.loss_seg": 0.29341, "decode.acc_seg": 71.86762, "aux.loss_seg": 0.13672, "aux.acc_seg": 70.78617, "loss": 0.43013, "time": 0.30155} -{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 36160, "data_time": 0.00626, "decode.loss_seg": 0.29591, "decode.acc_seg": 71.90713, "aux.loss_seg": 0.14079, "aux.acc_seg": 70.59344, "loss": 0.4367, "time": 0.30085} -{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.30871, "decode.acc_seg": 71.21329, "aux.loss_seg": 0.14756, "aux.acc_seg": 69.91146, "loss": 0.45627, "time": 0.30158} -{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.29508, "decode.acc_seg": 71.70554, "aux.loss_seg": 0.13747, "aux.acc_seg": 70.59803, "loss": 0.43255, "time": 0.3011} -{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.28924, "decode.acc_seg": 70.15965, "aux.loss_seg": 0.13675, "aux.acc_seg": 68.96426, "loss": 0.42599, "time": 0.30151} -{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 36160, "data_time": 0.00666, "decode.loss_seg": 0.28941, "decode.acc_seg": 71.06708, "aux.loss_seg": 0.13582, "aux.acc_seg": 69.97518, "loss": 0.42523, "time": 0.3007} -{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 36160, "data_time": 0.00642, "decode.loss_seg": 0.30341, "decode.acc_seg": 72.16055, "aux.loss_seg": 0.14459, "aux.acc_seg": 70.74461, "loss": 0.44799, "time": 0.29966} -{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.30295, "decode.acc_seg": 70.74921, "aux.loss_seg": 0.14378, "aux.acc_seg": 69.37384, "loss": 0.44672, "time": 0.29986} -{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.30157, "decode.acc_seg": 71.21045, "aux.loss_seg": 0.14227, "aux.acc_seg": 69.96583, "loss": 0.44383, "time": 0.3002} -{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 36160, "data_time": 0.00645, "decode.loss_seg": 0.31659, "decode.acc_seg": 70.62934, "aux.loss_seg": 0.14889, "aux.acc_seg": 69.29016, "loss": 0.46548, "time": 0.30061} -{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 36160, "data_time": 0.00658, "decode.loss_seg": 0.29289, "decode.acc_seg": 71.75445, "aux.loss_seg": 0.13847, "aux.acc_seg": 70.54916, "loss": 0.43136, "time": 0.30063} -{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 36160, "data_time": 0.00643, "decode.loss_seg": 0.30785, "decode.acc_seg": 70.49846, "aux.loss_seg": 0.14592, "aux.acc_seg": 69.26819, "loss": 0.45377, "time": 0.30028} -{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 36160, "data_time": 0.00642, "decode.loss_seg": 0.30477, "decode.acc_seg": 71.41529, "aux.loss_seg": 0.14308, "aux.acc_seg": 70.07818, "loss": 0.44784, "time": 0.30094} -{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.316, "decode.acc_seg": 70.56112, "aux.loss_seg": 0.14896, "aux.acc_seg": 69.0356, "loss": 0.46496, "time": 0.302} -{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.30545, "decode.acc_seg": 71.05259, "aux.loss_seg": 0.14682, "aux.acc_seg": 69.60381, "loss": 0.45227, "time": 0.29939} -{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 36160, "data_time": 0.16147, "decode.loss_seg": 0.30541, "decode.acc_seg": 72.10095, "aux.loss_seg": 0.14417, "aux.acc_seg": 70.74733, "loss": 0.44959, "time": 0.4676} -{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.29424, "decode.acc_seg": 70.98633, "aux.loss_seg": 0.13936, "aux.acc_seg": 69.63655, "loss": 0.4336, "time": 0.29965} -{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.2868, "decode.acc_seg": 71.44237, "aux.loss_seg": 0.13564, "aux.acc_seg": 70.23231, "loss": 0.42245, "time": 0.29872} -{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.2931, "decode.acc_seg": 72.90259, "aux.loss_seg": 0.14042, "aux.acc_seg": 71.56221, "loss": 0.43352, "time": 0.2992} -{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.31047, "decode.acc_seg": 72.00861, "aux.loss_seg": 0.14712, "aux.acc_seg": 70.61094, "loss": 0.45758, "time": 0.30284} -{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.30193, "decode.acc_seg": 68.55203, "aux.loss_seg": 0.14464, "aux.acc_seg": 67.12212, "loss": 0.44658, "time": 0.30044} -{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.30265, "decode.acc_seg": 70.18673, "aux.loss_seg": 0.14277, "aux.acc_seg": 68.93721, "loss": 0.44542, "time": 0.3009} -{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.30409, "decode.acc_seg": 70.90993, "aux.loss_seg": 0.14158, "aux.acc_seg": 69.68345, "loss": 0.44568, "time": 0.30041} -{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.31284, "decode.acc_seg": 69.98844, "aux.loss_seg": 0.14716, "aux.acc_seg": 68.6879, "loss": 0.46, "time": 0.30113} -{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.28411, "decode.acc_seg": 70.52505, "aux.loss_seg": 0.1354, "aux.acc_seg": 69.22982, "loss": 0.41951, "time": 0.30181} -{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.31121, "decode.acc_seg": 72.29621, "aux.loss_seg": 0.14581, "aux.acc_seg": 70.89638, "loss": 0.45702, "time": 0.30109} -{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.29638, "decode.acc_seg": 72.08121, "aux.loss_seg": 0.13939, "aux.acc_seg": 70.75667, "loss": 0.43577, "time": 0.30195} -{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.29954, "decode.acc_seg": 71.96201, "aux.loss_seg": 0.13978, "aux.acc_seg": 70.77398, "loss": 0.43933, "time": 0.3027} -{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.30966, "decode.acc_seg": 70.40813, "aux.loss_seg": 0.14545, "aux.acc_seg": 69.02825, "loss": 0.4551, "time": 0.30266} -{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.29902, "decode.acc_seg": 71.48185, "aux.loss_seg": 0.14231, "aux.acc_seg": 70.15414, "loss": 0.44133, "time": 0.30176} -{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.29187, "decode.acc_seg": 70.60568, "aux.loss_seg": 0.13808, "aux.acc_seg": 69.30789, "loss": 0.42995, "time": 0.3033} -{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.31336, "decode.acc_seg": 70.43914, "aux.loss_seg": 0.14699, "aux.acc_seg": 68.99611, "loss": 0.46035, "time": 0.30191} -{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.30566, "decode.acc_seg": 70.7696, "aux.loss_seg": 0.14377, "aux.acc_seg": 69.46669, "loss": 0.44943, "time": 0.30196} -{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.31965, "decode.acc_seg": 71.51654, "aux.loss_seg": 0.14629, "aux.acc_seg": 70.32944, "loss": 0.46593, "time": 0.30257} -{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.29624, "decode.acc_seg": 71.42005, "aux.loss_seg": 0.13843, "aux.acc_seg": 70.26948, "loss": 0.43468, "time": 0.30213} -{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.28805, "decode.acc_seg": 70.90702, "aux.loss_seg": 0.13855, "aux.acc_seg": 69.66202, "loss": 0.4266, "time": 0.30101} -{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.30351, "decode.acc_seg": 70.44593, "aux.loss_seg": 0.14464, "aux.acc_seg": 69.18689, "loss": 0.44815, "time": 0.30109} -{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2938, "decode.acc_seg": 71.82453, "aux.loss_seg": 0.13983, "aux.acc_seg": 70.51198, "loss": 0.43363, "time": 0.30172} -{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.30235, "decode.acc_seg": 71.79688, "aux.loss_seg": 0.14286, "aux.acc_seg": 70.47333, "loss": 0.44521, "time": 0.30221} -{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.3131, "decode.acc_seg": 70.85995, "aux.loss_seg": 0.14615, "aux.acc_seg": 69.5779, "loss": 0.45925, "time": 0.30172} -{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 36160, "data_time": 0.18478, "decode.loss_seg": 0.28423, "decode.acc_seg": 72.00004, "aux.loss_seg": 0.1346, "aux.acc_seg": 70.77533, "loss": 0.41883, "time": 0.47952} -{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.28086, "decode.acc_seg": 71.9252, "aux.loss_seg": 0.13576, "aux.acc_seg": 70.46382, "loss": 0.41662, "time": 0.30027} -{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.2886, "decode.acc_seg": 70.52845, "aux.loss_seg": 0.13707, "aux.acc_seg": 69.20951, "loss": 0.42568, "time": 0.30055} -{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.28363, "decode.acc_seg": 71.94082, "aux.loss_seg": 0.13675, "aux.acc_seg": 70.50669, "loss": 0.42038, "time": 0.29986} -{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.29319, "decode.acc_seg": 71.27662, "aux.loss_seg": 0.13775, "aux.acc_seg": 70.06478, "loss": 0.43093, "time": 0.29939} -{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.28406, "decode.acc_seg": 73.02304, "aux.loss_seg": 0.13577, "aux.acc_seg": 71.72835, "loss": 0.41983, "time": 0.29945} -{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.28251, "decode.acc_seg": 71.91401, "aux.loss_seg": 0.13612, "aux.acc_seg": 70.43186, "loss": 0.41863, "time": 0.29909} -{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.27241, "decode.acc_seg": 70.12478, "aux.loss_seg": 0.12831, "aux.acc_seg": 68.93426, "loss": 0.40072, "time": 0.29917} -{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.28895, "decode.acc_seg": 70.5415, "aux.loss_seg": 0.13685, "aux.acc_seg": 69.1776, "loss": 0.42581, "time": 0.29933} -{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.29504, "decode.acc_seg": 70.74119, "aux.loss_seg": 0.14189, "aux.acc_seg": 69.39147, "loss": 0.43694, "time": 0.29965} -{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.2611, "decode.acc_seg": 70.30284, "aux.loss_seg": 0.12418, "aux.acc_seg": 68.97214, "loss": 0.38528, "time": 0.29936} -{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.29913, "decode.acc_seg": 71.8616, "aux.loss_seg": 0.14189, "aux.acc_seg": 70.2724, "loss": 0.44103, "time": 0.29893} -{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.30018, "decode.acc_seg": 71.34678, "aux.loss_seg": 0.14345, "aux.acc_seg": 69.93285, "loss": 0.44363, "time": 0.30245} -{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.28931, "decode.acc_seg": 71.34868, "aux.loss_seg": 0.13874, "aux.acc_seg": 70.06901, "loss": 0.42805, "time": 0.30021} -{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.30973, "decode.acc_seg": 71.96203, "aux.loss_seg": 0.14852, "aux.acc_seg": 70.26707, "loss": 0.45826, "time": 0.29963} -{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.28871, "decode.acc_seg": 71.49746, "aux.loss_seg": 0.13753, "aux.acc_seg": 70.26107, "loss": 0.42624, "time": 0.30215} -{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.29163, "decode.acc_seg": 72.19365, "aux.loss_seg": 0.13601, "aux.acc_seg": 70.96911, "loss": 0.42764, "time": 0.30147} -{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.29582, "decode.acc_seg": 70.45631, "aux.loss_seg": 0.14185, "aux.acc_seg": 69.06491, "loss": 0.43767, "time": 0.30061} -{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.30061, "decode.acc_seg": 70.58252, "aux.loss_seg": 0.14191, "aux.acc_seg": 69.21061, "loss": 0.44252, "time": 0.3017} -{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.29433, "decode.acc_seg": 72.05381, "aux.loss_seg": 0.14112, "aux.acc_seg": 70.66931, "loss": 0.43545, "time": 0.30022} -{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.29858, "decode.acc_seg": 72.07678, "aux.loss_seg": 0.14227, "aux.acc_seg": 70.73415, "loss": 0.44085, "time": 0.30047} -{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.29674, "decode.acc_seg": 70.08639, "aux.loss_seg": 0.14245, "aux.acc_seg": 68.56976, "loss": 0.43918, "time": 0.30112} -{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.29773, "decode.acc_seg": 72.46586, "aux.loss_seg": 0.14123, "aux.acc_seg": 71.00593, "loss": 0.43896, "time": 0.29999} -{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.28105, "decode.acc_seg": 70.76097, "aux.loss_seg": 0.13426, "aux.acc_seg": 69.50167, "loss": 0.41531, "time": 0.30075} -{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.28348, "decode.acc_seg": 72.14391, "aux.loss_seg": 0.13338, "aux.acc_seg": 71.02834, "loss": 0.41686, "time": 0.30058} -{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 36160, "data_time": 0.17193, "decode.loss_seg": 0.28267, "decode.acc_seg": 71.82455, "aux.loss_seg": 0.13593, "aux.acc_seg": 70.55146, "loss": 0.41859, "time": 0.46595} -{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.27858, "decode.acc_seg": 71.02734, "aux.loss_seg": 0.13401, "aux.acc_seg": 69.66477, "loss": 0.41259, "time": 0.30082} -{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.28674, "decode.acc_seg": 72.45845, "aux.loss_seg": 0.13529, "aux.acc_seg": 71.14517, "loss": 0.42203, "time": 0.29961} -{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.27781, "decode.acc_seg": 72.22745, "aux.loss_seg": 0.1326, "aux.acc_seg": 70.92828, "loss": 0.41041, "time": 0.30014} -{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.2803, "decode.acc_seg": 71.68137, "aux.loss_seg": 0.13282, "aux.acc_seg": 70.47223, "loss": 0.41312, "time": 0.30158} -{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.27326, "decode.acc_seg": 73.28002, "aux.loss_seg": 0.1306, "aux.acc_seg": 71.90586, "loss": 0.40386, "time": 0.30036} -{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.28247, "decode.acc_seg": 72.95265, "aux.loss_seg": 0.13286, "aux.acc_seg": 71.658, "loss": 0.41532, "time": 0.29965} -{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.28011, "decode.acc_seg": 69.80253, "aux.loss_seg": 0.13152, "aux.acc_seg": 68.71247, "loss": 0.41162, "time": 0.30026} -{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.2917, "decode.acc_seg": 70.4079, "aux.loss_seg": 0.13885, "aux.acc_seg": 69.05281, "loss": 0.43055, "time": 0.29972} -{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.29455, "decode.acc_seg": 71.92689, "aux.loss_seg": 0.1408, "aux.acc_seg": 70.48271, "loss": 0.43535, "time": 0.30071} -{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.29607, "decode.acc_seg": 73.36368, "aux.loss_seg": 0.14106, "aux.acc_seg": 72.11186, "loss": 0.43713, "time": 0.30188} -{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.29524, "decode.acc_seg": 71.99082, "aux.loss_seg": 0.14151, "aux.acc_seg": 70.62406, "loss": 0.43675, "time": 0.30217} -{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.29349, "decode.acc_seg": 69.89797, "aux.loss_seg": 0.1385, "aux.acc_seg": 68.57892, "loss": 0.43199, "time": 0.30199} -{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.2936, "decode.acc_seg": 71.54547, "aux.loss_seg": 0.14055, "aux.acc_seg": 70.2075, "loss": 0.43415, "time": 0.30116} -{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.29711, "decode.acc_seg": 71.32463, "aux.loss_seg": 0.13889, "aux.acc_seg": 70.19477, "loss": 0.436, "time": 0.30117} -{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.28617, "decode.acc_seg": 71.73352, "aux.loss_seg": 0.13748, "aux.acc_seg": 70.38841, "loss": 0.42365, "time": 0.301} -{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.27521, "decode.acc_seg": 73.82759, "aux.loss_seg": 0.13353, "aux.acc_seg": 72.38152, "loss": 0.40874, "time": 0.30112} -{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.27368, "decode.acc_seg": 71.28321, "aux.loss_seg": 0.13208, "aux.acc_seg": 69.89563, "loss": 0.40576, "time": 0.30211} -{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.28124, "decode.acc_seg": 70.45877, "aux.loss_seg": 0.13413, "aux.acc_seg": 69.02166, "loss": 0.41537, "time": 0.30091} -{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.28374, "decode.acc_seg": 71.33806, "aux.loss_seg": 0.13561, "aux.acc_seg": 69.87401, "loss": 0.41935, "time": 0.30134} -{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.29434, "decode.acc_seg": 72.21228, "aux.loss_seg": 0.14039, "aux.acc_seg": 70.77212, "loss": 0.43473, "time": 0.30057} -{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.27811, "decode.acc_seg": 70.86578, "aux.loss_seg": 0.13141, "aux.acc_seg": 69.70564, "loss": 0.40952, "time": 0.30081} -{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.27549, "decode.acc_seg": 71.51194, "aux.loss_seg": 0.13192, "aux.acc_seg": 70.15919, "loss": 0.40741, "time": 0.30032} -{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.2876, "decode.acc_seg": 72.29046, "aux.loss_seg": 0.13915, "aux.acc_seg": 70.78338, "loss": 0.42675, "time": 0.2995} -{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.29681, "decode.acc_seg": 70.36225, "aux.loss_seg": 0.13956, "aux.acc_seg": 69.19544, "loss": 0.43636, "time": 0.30232} -{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4736, "mAcc": 0.6003, "aAcc": 0.8169, "IoU.wall": 0.7557, "IoU.building": 0.8043, "IoU.sky": 0.9371, "IoU.floor": 0.8027, "IoU.tree": 0.7287, "IoU.ceiling": 0.8258, "IoU.road": 0.8026, "IoU.bed ": 0.8635, "IoU.windowpane": 0.5921, "IoU.grass": 0.6665, "IoU.cabinet": 0.5934, "IoU.sidewalk": 0.619, "IoU.person": 0.7764, "IoU.earth": 0.3556, "IoU.door": 0.4452, "IoU.table": 0.5446, "IoU.mountain": 0.5921, "IoU.plant": 0.5139, "IoU.curtain": 0.7129, "IoU.chair": 0.5255, "IoU.car": 0.8109, "IoU.water": 0.5488, "IoU.painting": 0.71, "IoU.sofa": 0.5479, "IoU.shelf": 0.4355, "IoU.house": 0.4494, "IoU.sea": 0.5275, "IoU.mirror": 0.5826, "IoU.rug": 0.6339, "IoU.field": 0.3329, "IoU.armchair": 0.3785, "IoU.seat": 0.5933, "IoU.fence": 0.3583, "IoU.desk": 0.4526, "IoU.rock": 0.4396, "IoU.wardrobe": 0.4451, "IoU.lamp": 0.5709, "IoU.bathtub": 0.7227, "IoU.railing": 0.3251, "IoU.cushion": 0.5401, "IoU.base": 0.3355, "IoU.box": 0.2521, "IoU.column": 0.4655, "IoU.signboard": 0.3595, "IoU.chest of drawers": 0.3586, "IoU.counter": 0.2749, "IoU.sand": 0.4448, "IoU.sink": 0.6487, "IoU.skyscraper": 0.5784, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7334, "IoU.grandstand": 0.3865, "IoU.path": 0.2067, "IoU.stairs": 0.2674, "IoU.runway": 0.7061, "IoU.case": 0.4834, "IoU.pool table": 0.9047, "IoU.pillow": 0.5342, "IoU.screen door": 0.6509, "IoU.stairway": 0.2828, "IoU.river": 0.0913, "IoU.bridge": 0.7167, "IoU.bookcase": 0.3993, "IoU.blind": NaN, "IoU.coffee table": 0.513, "IoU.toilet": 0.7902, "IoU.flower": 0.402, "IoU.book": 0.4127, "IoU.hill": 0.0932, "IoU.bench": 0.4322, "IoU.countertop": 0.476, "IoU.stove": 0.6667, "IoU.palm": 0.4597, "IoU.kitchen island": 0.3002, "IoU.computer": 0.6942, "IoU.swivel chair": 0.4191, "IoU.boat": 0.4813, "IoU.bar": 0.5004, "IoU.arcade machine": 0.6368, "IoU.hovel": 0.0275, "IoU.bus": 0.8925, "IoU.towel": 0.6564, "IoU.light": 0.522, "IoU.truck": 0.2856, "IoU.tower": 0.1963, "IoU.chandelier": 0.6268, "IoU.awning": 0.2383, "IoU.streetlight": 0.1984, "IoU.booth": 0.5552, "IoU.television receiver": NaN, "IoU.airplane": 0.5195, "IoU.dirt track": 0.0002, "IoU.apparel": 0.3369, "IoU.pole": 0.1514, "IoU.land": 0.0241, "IoU.bannister": 0.1183, "IoU.escalator": 0.4461, "IoU.ottoman": 0.381, "IoU.bottle": NaN, "IoU.buffet": 0.5403, "IoU.poster": 0.3021, "IoU.stage": 0.1478, "IoU.van": 0.3974, "IoU.ship": 0.5361, "IoU.fountain": 0.243, "IoU.conveyer belt": 0.7842, "IoU.canopy": 0.3346, "IoU.washer": 0.722, "IoU.plaything": 0.1863, "IoU.swimming pool": 0.6938, "IoU.stool": 0.3728, "IoU.barrel": 0.4987, "IoU.basket": 0.3254, "IoU.waterfall": 0.516, "IoU.tent": 0.9179, "IoU.bag": 0.1518, "IoU.minibike": 0.6611, "IoU.cradle": NaN, "IoU.oven": 0.3691, "IoU.ball": 0.4067, "IoU.food": 0.5546, "IoU.step": 0.0654, "IoU.tank": 0.5484, "IoU.trade name": 0.2394, "IoU.microwave": 0.7829, "IoU.pot": 0.4593, "IoU.animal": NaN, "IoU.bicycle": 0.5422, "IoU.lake": 0.4564, "IoU.dishwasher": 0.4825, "IoU.screen": 0.7151, "IoU.blanket": 0.1184, "IoU.sculpture": 0.4845, "IoU.hood": 0.5326, "IoU.sconce": 0.3779, "IoU.vase": 0.3301, "IoU.traffic light": 0.2323, "IoU.tray": 0.0507, "IoU.ashcan": 0.4136, "IoU.fan": 0.5797, "IoU.pier": 0.5105, "IoU.crt screen": 0.0068, "IoU.plate": 0.5724, "IoU.monitor": 0.5687, "IoU.bulletin board": 0.4772, "IoU.shower": 0.0, "IoU.radiator": 0.5543, "IoU.glass": 0.1074, "IoU.clock": 0.3845, "IoU.flag": 0.5409, "Acc.wall": 0.8703, "Acc.building": 0.9129, "Acc.sky": 0.9638, "Acc.floor": 0.8826, "Acc.tree": 0.8611, "Acc.ceiling": 0.9092, "Acc.road": 0.8659, "Acc.bed ": 0.9393, "Acc.windowpane": 0.781, "Acc.grass": 0.8533, "Acc.cabinet": 0.7073, "Acc.sidewalk": 0.8297, "Acc.person": 0.896, "Acc.earth": 0.5059, "Acc.door": 0.5737, "Acc.table": 0.7729, "Acc.mountain": 0.7484, "Acc.plant": 0.6023, "Acc.curtain": 0.8194, "Acc.chair": 0.6935, "Acc.car": 0.8916, "Acc.water": 0.6793, "Acc.painting": 0.854, "Acc.sofa": 0.6712, "Acc.shelf": 0.5867, "Acc.house": 0.7595, "Acc.sea": 0.7472, "Acc.mirror": 0.6762, "Acc.rug": 0.7607, "Acc.field": 0.4073, "Acc.armchair": 0.6065, "Acc.seat": 0.8111, "Acc.fence": 0.4657, "Acc.desk": 0.6584, "Acc.rock": 0.6829, "Acc.wardrobe": 0.5472, "Acc.lamp": 0.6828, "Acc.bathtub": 0.8034, "Acc.railing": 0.5133, "Acc.cushion": 0.6842, "Acc.base": 0.6136, "Acc.box": 0.3096, "Acc.column": 0.5883, "Acc.signboard": 0.502, "Acc.chest of drawers": 0.5315, "Acc.counter": 0.337, "Acc.sand": 0.6798, "Acc.sink": 0.7855, "Acc.skyscraper": 0.7431, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8121, "Acc.grandstand": 0.6277, "Acc.path": 0.2558, "Acc.stairs": 0.3571, "Acc.runway": 0.9308, "Acc.case": 0.7806, "Acc.pool table": 0.9517, "Acc.pillow": 0.6328, "Acc.screen door": 0.8364, "Acc.stairway": 0.3593, "Acc.river": 0.1676, "Acc.bridge": 0.8096, "Acc.bookcase": 0.5103, "Acc.blind": NaN, "Acc.coffee table": 0.8266, "Acc.toilet": 0.8491, "Acc.flower": 0.569, "Acc.book": 0.5251, "Acc.hill": 0.1369, "Acc.bench": 0.492, "Acc.countertop": 0.6895, "Acc.stove": 0.7692, "Acc.palm": 0.7035, "Acc.kitchen island": 0.6193, "Acc.computer": 0.8379, "Acc.swivel chair": 0.6542, "Acc.boat": 0.5914, "Acc.bar": 0.7125, "Acc.arcade machine": 0.7387, "Acc.hovel": 0.0288, "Acc.bus": 0.9493, "Acc.towel": 0.7685, "Acc.light": 0.6179, "Acc.truck": 0.4027, "Acc.tower": 0.3082, "Acc.chandelier": 0.7304, "Acc.awning": 0.2596, "Acc.streetlight": 0.259, "Acc.booth": 0.6616, "Acc.television receiver": NaN, "Acc.airplane": 0.7022, "Acc.dirt track": 0.0003, "Acc.apparel": 0.5352, "Acc.pole": 0.1925, "Acc.land": 0.0308, "Acc.bannister": 0.1493, "Acc.escalator": 0.6874, "Acc.ottoman": 0.5332, "Acc.bottle": NaN, "Acc.buffet": 0.7034, "Acc.poster": 0.4306, "Acc.stage": 0.2383, "Acc.van": 0.5108, "Acc.ship": 0.7137, "Acc.fountain": 0.2527, "Acc.conveyer belt": 0.8994, "Acc.canopy": 0.4946, "Acc.washer": 0.776, "Acc.plaything": 0.284, "Acc.swimming pool": 0.8886, "Acc.stool": 0.4641, "Acc.barrel": 0.6482, "Acc.basket": 0.4458, "Acc.waterfall": 0.693, "Acc.tent": 0.9815, "Acc.bag": 0.1852, "Acc.minibike": 0.8217, "Acc.cradle": NaN, "Acc.oven": 0.4848, "Acc.ball": 0.4785, "Acc.food": 0.6669, "Acc.step": 0.0897, "Acc.tank": 0.6577, "Acc.trade name": 0.2698, "Acc.microwave": 0.9251, "Acc.pot": 0.4972, "Acc.animal": NaN, "Acc.bicycle": 0.774, "Acc.lake": 0.7453, "Acc.dishwasher": 0.5891, "Acc.screen": 0.8966, "Acc.blanket": 0.1321, "Acc.sculpture": 0.703, "Acc.hood": 0.6358, "Acc.sconce": 0.4582, "Acc.vase": 0.5334, "Acc.traffic light": 0.332, "Acc.tray": 0.1014, "Acc.ashcan": 0.5568, "Acc.fan": 0.7122, "Acc.pier": 0.6925, "Acc.crt screen": 0.0087, "Acc.plate": 0.7254, "Acc.monitor": 0.7018, "Acc.bulletin board": 0.6736, "Acc.shower": 0.0, "Acc.radiator": 0.6769, "Acc.glass": 0.1139, "Acc.clock": 0.4581, "Acc.flag": 0.5919} -{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 36160, "data_time": 1.58837, "decode.loss_seg": 0.27351, "decode.acc_seg": 71.77114, "aux.loss_seg": 0.13058, "aux.acc_seg": 70.50008, "loss": 0.40409, "time": 1.88612} -{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.26701, "decode.acc_seg": 71.59147, "aux.loss_seg": 0.12822, "aux.acc_seg": 70.26272, "loss": 0.39522, "time": 0.30076} -{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.27747, "decode.acc_seg": 73.2321, "aux.loss_seg": 0.13309, "aux.acc_seg": 71.82759, "loss": 0.41056, "time": 0.30039} -{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.27978, "decode.acc_seg": 71.33173, "aux.loss_seg": 0.13228, "aux.acc_seg": 70.0815, "loss": 0.41206, "time": 0.29934} -{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.26331, "decode.acc_seg": 72.48431, "aux.loss_seg": 0.12645, "aux.acc_seg": 71.38192, "loss": 0.38976, "time": 0.29961} -{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.28397, "decode.acc_seg": 71.03063, "aux.loss_seg": 0.13559, "aux.acc_seg": 69.5487, "loss": 0.41955, "time": 0.29996} -{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.28482, "decode.acc_seg": 72.15201, "aux.loss_seg": 0.13899, "aux.acc_seg": 70.70331, "loss": 0.42381, "time": 0.2999} -{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.30439, "decode.acc_seg": 70.40455, "aux.loss_seg": 0.14355, "aux.acc_seg": 68.97266, "loss": 0.44794, "time": 0.30185} -{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.28598, "decode.acc_seg": 71.3844, "aux.loss_seg": 0.136, "aux.acc_seg": 70.11461, "loss": 0.42198, "time": 0.30144} -{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.27204, "decode.acc_seg": 71.79179, "aux.loss_seg": 0.13158, "aux.acc_seg": 70.29933, "loss": 0.40362, "time": 0.30176} -{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.26378, "decode.acc_seg": 71.74679, "aux.loss_seg": 0.12538, "aux.acc_seg": 70.49657, "loss": 0.38916, "time": 0.3011} -{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.27826, "decode.acc_seg": 71.99973, "aux.loss_seg": 0.13508, "aux.acc_seg": 70.53533, "loss": 0.41334, "time": 0.30163} -{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.29045, "decode.acc_seg": 70.7668, "aux.loss_seg": 0.13994, "aux.acc_seg": 69.40722, "loss": 0.43038, "time": 0.30225} -{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.29289, "decode.acc_seg": 72.86237, "aux.loss_seg": 0.13951, "aux.acc_seg": 71.45769, "loss": 0.4324, "time": 0.30129} -{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.29546, "decode.acc_seg": 71.32773, "aux.loss_seg": 0.13863, "aux.acc_seg": 70.05413, "loss": 0.43409, "time": 0.30012} -{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.28482, "decode.acc_seg": 72.03761, "aux.loss_seg": 0.13493, "aux.acc_seg": 70.67595, "loss": 0.41975, "time": 0.3013} -{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.27316, "decode.acc_seg": 73.70314, "aux.loss_seg": 0.12923, "aux.acc_seg": 72.41321, "loss": 0.40239, "time": 0.30052} -{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.27386, "decode.acc_seg": 72.06094, "aux.loss_seg": 0.1321, "aux.acc_seg": 70.63015, "loss": 0.40596, "time": 0.29947} -{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.28745, "decode.acc_seg": 70.70976, "aux.loss_seg": 0.13767, "aux.acc_seg": 69.30915, "loss": 0.42512, "time": 0.30128} -{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.28837, "decode.acc_seg": 71.5375, "aux.loss_seg": 0.13796, "aux.acc_seg": 70.09521, "loss": 0.42633, "time": 0.30174} -{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.28583, "decode.acc_seg": 71.90465, "aux.loss_seg": 0.13581, "aux.acc_seg": 70.56814, "loss": 0.42164, "time": 0.29984} -{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.26886, "decode.acc_seg": 74.48694, "aux.loss_seg": 0.12973, "aux.acc_seg": 73.04337, "loss": 0.39859, "time": 0.29968} -{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.28994, "decode.acc_seg": 72.13579, "aux.loss_seg": 0.13738, "aux.acc_seg": 70.95742, "loss": 0.42732, "time": 0.30011} -{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.27345, "decode.acc_seg": 70.98752, "aux.loss_seg": 0.13306, "aux.acc_seg": 69.55545, "loss": 0.4065, "time": 0.29962} -{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.27942, "decode.acc_seg": 71.9486, "aux.loss_seg": 0.13675, "aux.acc_seg": 70.30071, "loss": 0.41617, "time": 0.30037} -{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 36160, "data_time": 0.16939, "decode.loss_seg": 0.28219, "decode.acc_seg": 71.62696, "aux.loss_seg": 0.13554, "aux.acc_seg": 70.24464, "loss": 0.41774, "time": 0.46469} -{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.29271, "decode.acc_seg": 71.28935, "aux.loss_seg": 0.13826, "aux.acc_seg": 69.95753, "loss": 0.43097, "time": 0.2992} -{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.27415, "decode.acc_seg": 72.24598, "aux.loss_seg": 0.13, "aux.acc_seg": 70.99769, "loss": 0.40415, "time": 0.29904} -{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.28167, "decode.acc_seg": 72.88894, "aux.loss_seg": 0.13247, "aux.acc_seg": 71.69674, "loss": 0.41414, "time": 0.2995} -{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.25489, "decode.acc_seg": 71.55281, "aux.loss_seg": 0.12278, "aux.acc_seg": 70.22507, "loss": 0.37767, "time": 0.29982} -{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.2776, "decode.acc_seg": 71.34588, "aux.loss_seg": 0.13263, "aux.acc_seg": 69.99075, "loss": 0.41024, "time": 0.2994} -{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.26829, "decode.acc_seg": 71.2091, "aux.loss_seg": 0.12836, "aux.acc_seg": 69.85775, "loss": 0.39666, "time": 0.30226} -{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.27038, "decode.acc_seg": 71.65699, "aux.loss_seg": 0.12654, "aux.acc_seg": 70.53462, "loss": 0.39692, "time": 0.30127} -{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.27054, "decode.acc_seg": 72.3084, "aux.loss_seg": 0.12987, "aux.acc_seg": 70.97478, "loss": 0.40041, "time": 0.30207} -{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.27956, "decode.acc_seg": 71.87079, "aux.loss_seg": 0.13184, "aux.acc_seg": 70.67035, "loss": 0.41139, "time": 0.30145} -{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.29105, "decode.acc_seg": 71.72375, "aux.loss_seg": 0.1397, "aux.acc_seg": 70.3217, "loss": 0.43076, "time": 0.30265} -{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.282, "decode.acc_seg": 72.12123, "aux.loss_seg": 0.13609, "aux.acc_seg": 70.77031, "loss": 0.41809, "time": 0.30221} -{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.28315, "decode.acc_seg": 71.90426, "aux.loss_seg": 0.13408, "aux.acc_seg": 70.52964, "loss": 0.41723, "time": 0.30229} -{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.27654, "decode.acc_seg": 70.25156, "aux.loss_seg": 0.13294, "aux.acc_seg": 68.96976, "loss": 0.40948, "time": 0.3034} -{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.27771, "decode.acc_seg": 72.00259, "aux.loss_seg": 0.13441, "aux.acc_seg": 70.54327, "loss": 0.41213, "time": 0.30144} -{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.27188, "decode.acc_seg": 71.47443, "aux.loss_seg": 0.12825, "aux.acc_seg": 70.30961, "loss": 0.40013, "time": 0.30308} -{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.25465, "decode.acc_seg": 71.46769, "aux.loss_seg": 0.12307, "aux.acc_seg": 70.17438, "loss": 0.37772, "time": 0.30213} -{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.28797, "decode.acc_seg": 70.26749, "aux.loss_seg": 0.13678, "aux.acc_seg": 68.94691, "loss": 0.42474, "time": 0.30218} -{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.28902, "decode.acc_seg": 72.34597, "aux.loss_seg": 0.1404, "aux.acc_seg": 70.91613, "loss": 0.42942, "time": 0.30118} -{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.2767, "decode.acc_seg": 72.35875, "aux.loss_seg": 0.13499, "aux.acc_seg": 70.94595, "loss": 0.41169, "time": 0.30075} -{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.27438, "decode.acc_seg": 72.11919, "aux.loss_seg": 0.13079, "aux.acc_seg": 70.78165, "loss": 0.40517, "time": 0.30256} -{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.26034, "decode.acc_seg": 71.06803, "aux.loss_seg": 0.12416, "aux.acc_seg": 69.77385, "loss": 0.3845, "time": 0.30165} -{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.28399, "decode.acc_seg": 73.49416, "aux.loss_seg": 0.13635, "aux.acc_seg": 72.14253, "loss": 0.42034, "time": 0.30221} -{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.27629, "decode.acc_seg": 70.96464, "aux.loss_seg": 0.13199, "aux.acc_seg": 69.5587, "loss": 0.40827, "time": 0.30135} -{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.28023, "decode.acc_seg": 71.06644, "aux.loss_seg": 0.13265, "aux.acc_seg": 69.72181, "loss": 0.41288, "time": 0.302} -{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 36160, "data_time": 0.17959, "decode.loss_seg": 0.28415, "decode.acc_seg": 70.98188, "aux.loss_seg": 0.13598, "aux.acc_seg": 69.58861, "loss": 0.42012, "time": 0.47459} -{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.27347, "decode.acc_seg": 71.47573, "aux.loss_seg": 0.13201, "aux.acc_seg": 70.1551, "loss": 0.40548, "time": 0.3011} -{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.28161, "decode.acc_seg": 71.60968, "aux.loss_seg": 0.13332, "aux.acc_seg": 70.44002, "loss": 0.41492, "time": 0.30152} -{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.28367, "decode.acc_seg": 71.97118, "aux.loss_seg": 0.13456, "aux.acc_seg": 70.62473, "loss": 0.41823, "time": 0.30048} -{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.26231, "decode.acc_seg": 73.60788, "aux.loss_seg": 0.12589, "aux.acc_seg": 72.35619, "loss": 0.3882, "time": 0.30046} -{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.27237, "decode.acc_seg": 71.47872, "aux.loss_seg": 0.1289, "aux.acc_seg": 70.36671, "loss": 0.40127, "time": 0.30081} -{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.27165, "decode.acc_seg": 72.6091, "aux.loss_seg": 0.13159, "aux.acc_seg": 71.12884, "loss": 0.40324, "time": 0.30413} -{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.28824, "decode.acc_seg": 72.33607, "aux.loss_seg": 0.13576, "aux.acc_seg": 71.08393, "loss": 0.424, "time": 0.303} -{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.29611, "decode.acc_seg": 71.74295, "aux.loss_seg": 0.14062, "aux.acc_seg": 70.37561, "loss": 0.43673, "time": 0.30306} -{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.28445, "decode.acc_seg": 71.49933, "aux.loss_seg": 0.13593, "aux.acc_seg": 70.11176, "loss": 0.42038, "time": 0.30327} -{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.27163, "decode.acc_seg": 70.92048, "aux.loss_seg": 0.12939, "aux.acc_seg": 69.6357, "loss": 0.40102, "time": 0.30259} -{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.27672, "decode.acc_seg": 71.26958, "aux.loss_seg": 0.13241, "aux.acc_seg": 70.09468, "loss": 0.40913, "time": 0.30306} -{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.27455, "decode.acc_seg": 73.1525, "aux.loss_seg": 0.13242, "aux.acc_seg": 71.94541, "loss": 0.40697, "time": 0.3039} -{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.27712, "decode.acc_seg": 71.01143, "aux.loss_seg": 0.13324, "aux.acc_seg": 69.57666, "loss": 0.41036, "time": 0.30425} -{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.26912, "decode.acc_seg": 70.93759, "aux.loss_seg": 0.12984, "aux.acc_seg": 69.65087, "loss": 0.39895, "time": 0.30171} -{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.30327, "decode.acc_seg": 71.13576, "aux.loss_seg": 0.14266, "aux.acc_seg": 69.83156, "loss": 0.44593, "time": 0.3026} -{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.26877, "decode.acc_seg": 72.29943, "aux.loss_seg": 0.1289, "aux.acc_seg": 70.94229, "loss": 0.39766, "time": 0.30102} -{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.26329, "decode.acc_seg": 70.80538, "aux.loss_seg": 0.12747, "aux.acc_seg": 69.44562, "loss": 0.39076, "time": 0.30081} -{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.2867, "decode.acc_seg": 71.31637, "aux.loss_seg": 0.13703, "aux.acc_seg": 70.05085, "loss": 0.42373, "time": 0.30194} -{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.27736, "decode.acc_seg": 70.22305, "aux.loss_seg": 0.13155, "aux.acc_seg": 68.92341, "loss": 0.40891, "time": 0.30157} -{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.26357, "decode.acc_seg": 71.94664, "aux.loss_seg": 0.12531, "aux.acc_seg": 70.72446, "loss": 0.38888, "time": 0.30186} -{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 36160, "data_time": 0.00652, "decode.loss_seg": 0.26751, "decode.acc_seg": 71.69575, "aux.loss_seg": 0.12603, "aux.acc_seg": 70.58062, "loss": 0.39354, "time": 0.30055} -{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.2803, "decode.acc_seg": 72.45449, "aux.loss_seg": 0.13097, "aux.acc_seg": 71.31555, "loss": 0.41127, "time": 0.30113} -{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.26947, "decode.acc_seg": 71.29544, "aux.loss_seg": 0.12788, "aux.acc_seg": 70.01736, "loss": 0.39735, "time": 0.30183} -{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.27064, "decode.acc_seg": 71.83128, "aux.loss_seg": 0.12876, "aux.acc_seg": 70.52028, "loss": 0.3994, "time": 0.30142} -{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 36160, "data_time": 0.17208, "decode.loss_seg": 0.27417, "decode.acc_seg": 71.7654, "aux.loss_seg": 0.13187, "aux.acc_seg": 70.36554, "loss": 0.40603, "time": 0.46751} -{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.25483, "decode.acc_seg": 72.85133, "aux.loss_seg": 0.12143, "aux.acc_seg": 71.63806, "loss": 0.37625, "time": 0.30129} -{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.27339, "decode.acc_seg": 72.93899, "aux.loss_seg": 0.13185, "aux.acc_seg": 71.58823, "loss": 0.40524, "time": 0.30079} -{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.26859, "decode.acc_seg": 71.10589, "aux.loss_seg": 0.13087, "aux.acc_seg": 69.74271, "loss": 0.39946, "time": 0.30126} -{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.26494, "decode.acc_seg": 72.27789, "aux.loss_seg": 0.12872, "aux.acc_seg": 70.81357, "loss": 0.39366, "time": 0.30079} -{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.2604, "decode.acc_seg": 70.77589, "aux.loss_seg": 0.12407, "aux.acc_seg": 69.45841, "loss": 0.38447, "time": 0.30091} -{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.28322, "decode.acc_seg": 71.30601, "aux.loss_seg": 0.13651, "aux.acc_seg": 70.0091, "loss": 0.41974, "time": 0.30165} -{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.26774, "decode.acc_seg": 71.85183, "aux.loss_seg": 0.13118, "aux.acc_seg": 70.41312, "loss": 0.39892, "time": 0.30256} -{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.25935, "decode.acc_seg": 72.58967, "aux.loss_seg": 0.12694, "aux.acc_seg": 71.10638, "loss": 0.38629, "time": 0.30334} -{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.28096, "decode.acc_seg": 71.21868, "aux.loss_seg": 0.13339, "aux.acc_seg": 69.9509, "loss": 0.41434, "time": 0.30326} -{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.26475, "decode.acc_seg": 73.66794, "aux.loss_seg": 0.12637, "aux.acc_seg": 72.42207, "loss": 0.39112, "time": 0.30177} -{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.26935, "decode.acc_seg": 70.33125, "aux.loss_seg": 0.12999, "aux.acc_seg": 68.95046, "loss": 0.39934, "time": 0.30111} -{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.2701, "decode.acc_seg": 72.49427, "aux.loss_seg": 0.12908, "aux.acc_seg": 71.31617, "loss": 0.39918, "time": 0.30207} -{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 36160, "data_time": 0.00655, "decode.loss_seg": 0.29686, "decode.acc_seg": 71.14175, "aux.loss_seg": 0.14157, "aux.acc_seg": 69.65797, "loss": 0.43842, "time": 0.30099} -{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 36160, "data_time": 0.0066, "decode.loss_seg": 0.26909, "decode.acc_seg": 72.47587, "aux.loss_seg": 0.12969, "aux.acc_seg": 71.10476, "loss": 0.39879, "time": 0.30057} -{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.27953, "decode.acc_seg": 72.54401, "aux.loss_seg": 0.13341, "aux.acc_seg": 71.23202, "loss": 0.41294, "time": 0.30006} -{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.27162, "decode.acc_seg": 71.79987, "aux.loss_seg": 0.13024, "aux.acc_seg": 70.4481, "loss": 0.40186, "time": 0.2998} -{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2765, "decode.acc_seg": 71.03583, "aux.loss_seg": 0.12982, "aux.acc_seg": 69.77204, "loss": 0.40633, "time": 0.30082} -{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.28354, "decode.acc_seg": 71.66406, "aux.loss_seg": 0.13307, "aux.acc_seg": 70.36047, "loss": 0.41661, "time": 0.2993} -{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.27261, "decode.acc_seg": 71.36294, "aux.loss_seg": 0.13137, "aux.acc_seg": 69.95024, "loss": 0.40397, "time": 0.30082} -{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.29226, "decode.acc_seg": 71.20233, "aux.loss_seg": 0.13972, "aux.acc_seg": 69.81123, "loss": 0.43199, "time": 0.30062} -{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.26248, "decode.acc_seg": 72.98471, "aux.loss_seg": 0.127, "aux.acc_seg": 71.57205, "loss": 0.38948, "time": 0.29902} -{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.28261, "decode.acc_seg": 73.46698, "aux.loss_seg": 0.13725, "aux.acc_seg": 72.01991, "loss": 0.41986, "time": 0.30064} -{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.26151, "decode.acc_seg": 72.41969, "aux.loss_seg": 0.12638, "aux.acc_seg": 71.01525, "loss": 0.38789, "time": 0.3013} -{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.26763, "decode.acc_seg": 72.49353, "aux.loss_seg": 0.12803, "aux.acc_seg": 71.23178, "loss": 0.39566, "time": 0.30156} -{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 36160, "data_time": 0.17865, "decode.loss_seg": 0.26255, "decode.acc_seg": 72.25698, "aux.loss_seg": 0.12573, "aux.acc_seg": 70.9546, "loss": 0.38828, "time": 0.47428} -{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.2682, "decode.acc_seg": 73.36554, "aux.loss_seg": 0.12782, "aux.acc_seg": 72.09845, "loss": 0.39602, "time": 0.30144} -{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.26342, "decode.acc_seg": 73.53724, "aux.loss_seg": 0.12636, "aux.acc_seg": 72.2425, "loss": 0.38978, "time": 0.30204} -{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.25514, "decode.acc_seg": 71.80455, "aux.loss_seg": 0.12229, "aux.acc_seg": 70.58422, "loss": 0.37743, "time": 0.30199} -{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.24896, "decode.acc_seg": 72.78082, "aux.loss_seg": 0.12097, "aux.acc_seg": 71.43589, "loss": 0.36993, "time": 0.30245} -{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.26573, "decode.acc_seg": 71.81297, "aux.loss_seg": 0.12815, "aux.acc_seg": 70.49872, "loss": 0.39388, "time": 0.30245} -{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.24922, "decode.acc_seg": 72.19406, "aux.loss_seg": 0.12144, "aux.acc_seg": 70.79431, "loss": 0.37065, "time": 0.30043} -{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.27635, "decode.acc_seg": 71.62703, "aux.loss_seg": 0.13272, "aux.acc_seg": 70.38594, "loss": 0.40907, "time": 0.30113} -{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.26967, "decode.acc_seg": 73.02747, "aux.loss_seg": 0.12786, "aux.acc_seg": 71.90212, "loss": 0.39753, "time": 0.30351} -{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.27918, "decode.acc_seg": 71.89514, "aux.loss_seg": 0.13182, "aux.acc_seg": 70.64427, "loss": 0.411, "time": 0.30245} -{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.25219, "decode.acc_seg": 71.34314, "aux.loss_seg": 0.12257, "aux.acc_seg": 70.05557, "loss": 0.37476, "time": 0.30146} -{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.26788, "decode.acc_seg": 72.75184, "aux.loss_seg": 0.12886, "aux.acc_seg": 71.43429, "loss": 0.39673, "time": 0.30237} -{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.27227, "decode.acc_seg": 73.41118, "aux.loss_seg": 0.1333, "aux.acc_seg": 71.96387, "loss": 0.40557, "time": 0.30216} -{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.25626, "decode.acc_seg": 73.56856, "aux.loss_seg": 0.12467, "aux.acc_seg": 72.19716, "loss": 0.38093, "time": 0.30222} -{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.25802, "decode.acc_seg": 71.1342, "aux.loss_seg": 0.12369, "aux.acc_seg": 69.97908, "loss": 0.38172, "time": 0.30235} -{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.27134, "decode.acc_seg": 72.0094, "aux.loss_seg": 0.12938, "aux.acc_seg": 70.68239, "loss": 0.40072, "time": 0.30151} -{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.27051, "decode.acc_seg": 71.83405, "aux.loss_seg": 0.12984, "aux.acc_seg": 70.59168, "loss": 0.40034, "time": 0.30322} -{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.26984, "decode.acc_seg": 72.53276, "aux.loss_seg": 0.12975, "aux.acc_seg": 71.27157, "loss": 0.39958, "time": 0.30355} -{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.25769, "decode.acc_seg": 71.47849, "aux.loss_seg": 0.12542, "aux.acc_seg": 70.01866, "loss": 0.38311, "time": 0.30395} -{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.25526, "decode.acc_seg": 73.03437, "aux.loss_seg": 0.1246, "aux.acc_seg": 71.69212, "loss": 0.37987, "time": 0.30277} -{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.25784, "decode.acc_seg": 72.95418, "aux.loss_seg": 0.12389, "aux.acc_seg": 71.76159, "loss": 0.38173, "time": 0.30213} -{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.26422, "decode.acc_seg": 72.09388, "aux.loss_seg": 0.12842, "aux.acc_seg": 70.63538, "loss": 0.39264, "time": 0.30028} -{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.28493, "decode.acc_seg": 72.18184, "aux.loss_seg": 0.13458, "aux.acc_seg": 71.0093, "loss": 0.41951, "time": 0.30001} -{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.26394, "decode.acc_seg": 70.98486, "aux.loss_seg": 0.12706, "aux.acc_seg": 69.65057, "loss": 0.391, "time": 0.30067} -{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.28143, "decode.acc_seg": 72.49501, "aux.loss_seg": 0.13684, "aux.acc_seg": 71.01096, "loss": 0.41826, "time": 0.30008} -{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.27996, "decode.acc_seg": 70.35708, "aux.loss_seg": 0.13298, "aux.acc_seg": 69.16149, "loss": 0.41295, "time": 0.30061} -{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 36160, "data_time": 0.14845, "decode.loss_seg": 0.25778, "decode.acc_seg": 73.23354, "aux.loss_seg": 0.12368, "aux.acc_seg": 71.97659, "loss": 0.38146, "time": 0.466} -{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.27217, "decode.acc_seg": 72.5972, "aux.loss_seg": 0.12895, "aux.acc_seg": 71.46497, "loss": 0.40112, "time": 0.29998} -{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.26421, "decode.acc_seg": 72.08523, "aux.loss_seg": 0.12643, "aux.acc_seg": 70.78986, "loss": 0.39063, "time": 0.29969} -{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.29107, "decode.acc_seg": 72.68841, "aux.loss_seg": 0.13892, "aux.acc_seg": 71.00743, "loss": 0.43, "time": 0.30062} -{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.26958, "decode.acc_seg": 71.82952, "aux.loss_seg": 0.12879, "aux.acc_seg": 70.56008, "loss": 0.39837, "time": 0.30079} -{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.281, "decode.acc_seg": 71.48454, "aux.loss_seg": 0.13617, "aux.acc_seg": 70.09249, "loss": 0.41717, "time": 0.3002} -{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.26461, "decode.acc_seg": 73.30984, "aux.loss_seg": 0.12613, "aux.acc_seg": 72.04904, "loss": 0.39074, "time": 0.29992} -{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.26328, "decode.acc_seg": 72.957, "aux.loss_seg": 0.12568, "aux.acc_seg": 71.73353, "loss": 0.38896, "time": 0.30035} -{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.26329, "decode.acc_seg": 71.55719, "aux.loss_seg": 0.12685, "aux.acc_seg": 70.26246, "loss": 0.39014, "time": 0.30164} -{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.24946, "decode.acc_seg": 72.18128, "aux.loss_seg": 0.11968, "aux.acc_seg": 70.91664, "loss": 0.36913, "time": 0.3018} -{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.25481, "decode.acc_seg": 72.47711, "aux.loss_seg": 0.12457, "aux.acc_seg": 71.07378, "loss": 0.37939, "time": 0.30086} -{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.25522, "decode.acc_seg": 72.46143, "aux.loss_seg": 0.12467, "aux.acc_seg": 71.06123, "loss": 0.37989, "time": 0.30103} -{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.26464, "decode.acc_seg": 72.15208, "aux.loss_seg": 0.12708, "aux.acc_seg": 70.72583, "loss": 0.39173, "time": 0.29965} -{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.27628, "decode.acc_seg": 72.36398, "aux.loss_seg": 0.13084, "aux.acc_seg": 71.08264, "loss": 0.40713, "time": 0.29991} -{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.26595, "decode.acc_seg": 71.07964, "aux.loss_seg": 0.13079, "aux.acc_seg": 69.53154, "loss": 0.39675, "time": 0.30099} -{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.26623, "decode.acc_seg": 71.51914, "aux.loss_seg": 0.12817, "aux.acc_seg": 70.16061, "loss": 0.3944, "time": 0.30077} -{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.25523, "decode.acc_seg": 72.68154, "aux.loss_seg": 0.12451, "aux.acc_seg": 71.30573, "loss": 0.37974, "time": 0.30132} -{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.26467, "decode.acc_seg": 72.10628, "aux.loss_seg": 0.12551, "aux.acc_seg": 70.92992, "loss": 0.39017, "time": 0.30215} -{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.26778, "decode.acc_seg": 71.74121, "aux.loss_seg": 0.12917, "aux.acc_seg": 70.36819, "loss": 0.39695, "time": 0.29923} -{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.26568, "decode.acc_seg": 71.92211, "aux.loss_seg": 0.12723, "aux.acc_seg": 70.61847, "loss": 0.39291, "time": 0.2996} -{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.27307, "decode.acc_seg": 72.31563, "aux.loss_seg": 0.13397, "aux.acc_seg": 70.98918, "loss": 0.40704, "time": 0.30014} -{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.25339, "decode.acc_seg": 71.46732, "aux.loss_seg": 0.1223, "aux.acc_seg": 70.23865, "loss": 0.37569, "time": 0.30175} -{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.27795, "decode.acc_seg": 71.08259, "aux.loss_seg": 0.1301, "aux.acc_seg": 69.96953, "loss": 0.40805, "time": 0.29997} -{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.27675, "decode.acc_seg": 71.72605, "aux.loss_seg": 0.13268, "aux.acc_seg": 70.30008, "loss": 0.40942, "time": 0.30046} -{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.26406, "decode.acc_seg": 73.19727, "aux.loss_seg": 0.12669, "aux.acc_seg": 71.8178, "loss": 0.39075, "time": 0.30067} -{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 36160, "data_time": 0.17161, "decode.loss_seg": 0.25264, "decode.acc_seg": 72.94399, "aux.loss_seg": 0.12244, "aux.acc_seg": 71.53503, "loss": 0.37508, "time": 0.46697} -{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.24961, "decode.acc_seg": 71.9694, "aux.loss_seg": 0.12086, "aux.acc_seg": 70.66343, "loss": 0.37047, "time": 0.30033} -{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.26278, "decode.acc_seg": 72.57867, "aux.loss_seg": 0.12743, "aux.acc_seg": 71.10967, "loss": 0.39022, "time": 0.29935} -{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.26654, "decode.acc_seg": 73.69853, "aux.loss_seg": 0.12818, "aux.acc_seg": 72.36312, "loss": 0.39473, "time": 0.29985} -{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25371, "decode.acc_seg": 72.37027, "aux.loss_seg": 0.12255, "aux.acc_seg": 71.06993, "loss": 0.37626, "time": 0.30047} -{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.24361, "decode.acc_seg": 71.67008, "aux.loss_seg": 0.12067, "aux.acc_seg": 70.15786, "loss": 0.36428, "time": 0.30022} -{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.25545, "decode.acc_seg": 73.50417, "aux.loss_seg": 0.12352, "aux.acc_seg": 72.22236, "loss": 0.37896, "time": 0.30211} -{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.25089, "decode.acc_seg": 70.82026, "aux.loss_seg": 0.12152, "aux.acc_seg": 69.54174, "loss": 0.37241, "time": 0.30084} -{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.26213, "decode.acc_seg": 72.24901, "aux.loss_seg": 0.12612, "aux.acc_seg": 71.01299, "loss": 0.38825, "time": 0.30223} -{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 36160, "data_time": 0.00641, "decode.loss_seg": 0.25822, "decode.acc_seg": 72.23677, "aux.loss_seg": 0.12361, "aux.acc_seg": 70.98603, "loss": 0.38183, "time": 0.30328} -{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.25139, "decode.acc_seg": 72.17169, "aux.loss_seg": 0.12121, "aux.acc_seg": 71.01408, "loss": 0.3726, "time": 0.30282} -{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.24505, "decode.acc_seg": 70.74769, "aux.loss_seg": 0.11836, "aux.acc_seg": 69.49874, "loss": 0.36341, "time": 0.30346} -{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.26683, "decode.acc_seg": 71.25034, "aux.loss_seg": 0.12943, "aux.acc_seg": 69.82009, "loss": 0.39626, "time": 0.30048} -{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.26574, "decode.acc_seg": 71.89083, "aux.loss_seg": 0.12865, "aux.acc_seg": 70.47173, "loss": 0.39439, "time": 0.30162} -{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.27287, "decode.acc_seg": 71.02564, "aux.loss_seg": 0.13185, "aux.acc_seg": 69.78485, "loss": 0.40472, "time": 0.30283} -{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.24164, "decode.acc_seg": 71.96229, "aux.loss_seg": 0.11671, "aux.acc_seg": 70.59917, "loss": 0.35836, "time": 0.30218} -{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.25171, "decode.acc_seg": 73.82582, "aux.loss_seg": 0.12315, "aux.acc_seg": 72.38571, "loss": 0.37486, "time": 0.30163} -{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.25832, "decode.acc_seg": 72.4548, "aux.loss_seg": 0.12456, "aux.acc_seg": 71.27582, "loss": 0.38288, "time": 0.30189} -{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.26279, "decode.acc_seg": 71.20647, "aux.loss_seg": 0.12554, "aux.acc_seg": 69.9824, "loss": 0.38833, "time": 0.30245} -{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.26234, "decode.acc_seg": 72.40227, "aux.loss_seg": 0.12475, "aux.acc_seg": 71.07605, "loss": 0.38709, "time": 0.30289} -{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.26239, "decode.acc_seg": 72.99644, "aux.loss_seg": 0.12559, "aux.acc_seg": 71.7753, "loss": 0.38798, "time": 0.30257} -{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.26913, "decode.acc_seg": 71.68638, "aux.loss_seg": 0.12931, "aux.acc_seg": 70.28894, "loss": 0.39844, "time": 0.30331} -{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.26993, "decode.acc_seg": 71.88758, "aux.loss_seg": 0.13084, "aux.acc_seg": 70.40051, "loss": 0.40077, "time": 0.30334} -{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.24836, "decode.acc_seg": 71.48984, "aux.loss_seg": 0.11987, "aux.acc_seg": 70.15312, "loss": 0.36823, "time": 0.30232} -{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 36160, "data_time": 0.00626, "decode.loss_seg": 0.25926, "decode.acc_seg": 73.11238, "aux.loss_seg": 0.12536, "aux.acc_seg": 71.84301, "loss": 0.38462, "time": 0.30334} -{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 36160, "data_time": 0.17664, "decode.loss_seg": 0.27172, "decode.acc_seg": 73.27095, "aux.loss_seg": 0.13121, "aux.acc_seg": 71.98425, "loss": 0.40292, "time": 0.47312} -{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.24987, "decode.acc_seg": 72.4429, "aux.loss_seg": 0.12126, "aux.acc_seg": 71.03065, "loss": 0.37113, "time": 0.30036} -{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.25019, "decode.acc_seg": 73.572, "aux.loss_seg": 0.12132, "aux.acc_seg": 72.25505, "loss": 0.37151, "time": 0.2995} -{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.27175, "decode.acc_seg": 72.8487, "aux.loss_seg": 0.1294, "aux.acc_seg": 71.54637, "loss": 0.40115, "time": 0.30123} -{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.2747, "decode.acc_seg": 73.46719, "aux.loss_seg": 0.13222, "aux.acc_seg": 72.12725, "loss": 0.40692, "time": 0.30211} -{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.26847, "decode.acc_seg": 71.58538, "aux.loss_seg": 0.12809, "aux.acc_seg": 70.20607, "loss": 0.39655, "time": 0.30157} -{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.24878, "decode.acc_seg": 72.79425, "aux.loss_seg": 0.11784, "aux.acc_seg": 71.67093, "loss": 0.36662, "time": 0.30273} -{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.25155, "decode.acc_seg": 71.8133, "aux.loss_seg": 0.12344, "aux.acc_seg": 70.3611, "loss": 0.37498, "time": 0.30186} -{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.25694, "decode.acc_seg": 71.7271, "aux.loss_seg": 0.12587, "aux.acc_seg": 70.23874, "loss": 0.38281, "time": 0.30277} -{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25379, "decode.acc_seg": 72.24649, "aux.loss_seg": 0.12284, "aux.acc_seg": 70.81167, "loss": 0.37664, "time": 0.30273} -{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.27494, "decode.acc_seg": 72.2023, "aux.loss_seg": 0.12981, "aux.acc_seg": 71.0291, "loss": 0.40475, "time": 0.30209} -{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.25157, "decode.acc_seg": 73.20389, "aux.loss_seg": 0.12257, "aux.acc_seg": 71.9001, "loss": 0.37414, "time": 0.30167} -{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.26415, "decode.acc_seg": 71.99217, "aux.loss_seg": 0.12814, "aux.acc_seg": 70.47222, "loss": 0.39229, "time": 0.30203} -{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.24496, "decode.acc_seg": 70.72692, "aux.loss_seg": 0.11918, "aux.acc_seg": 69.27628, "loss": 0.36415, "time": 0.30228} -{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.25556, "decode.acc_seg": 72.77176, "aux.loss_seg": 0.1254, "aux.acc_seg": 71.34412, "loss": 0.38097, "time": 0.30283} -{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.25798, "decode.acc_seg": 72.54434, "aux.loss_seg": 0.12365, "aux.acc_seg": 71.32486, "loss": 0.38163, "time": 0.30276} -{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.25948, "decode.acc_seg": 71.30155, "aux.loss_seg": 0.12509, "aux.acc_seg": 69.91007, "loss": 0.38458, "time": 0.3028} -{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25097, "decode.acc_seg": 72.46773, "aux.loss_seg": 0.12283, "aux.acc_seg": 71.06942, "loss": 0.3738, "time": 0.30138} -{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25697, "decode.acc_seg": 70.58238, "aux.loss_seg": 0.12403, "aux.acc_seg": 69.22441, "loss": 0.381, "time": 0.30153} -{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.24602, "decode.acc_seg": 71.40862, "aux.loss_seg": 0.11943, "aux.acc_seg": 70.10885, "loss": 0.36545, "time": 0.30532} -{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.25593, "decode.acc_seg": 72.55954, "aux.loss_seg": 0.12337, "aux.acc_seg": 71.29933, "loss": 0.37929, "time": 0.303} -{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.26272, "decode.acc_seg": 71.39913, "aux.loss_seg": 0.12717, "aux.acc_seg": 69.95239, "loss": 0.38989, "time": 0.30362} -{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.24902, "decode.acc_seg": 71.33705, "aux.loss_seg": 0.12102, "aux.acc_seg": 70.06066, "loss": 0.37004, "time": 0.30363} -{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.26348, "decode.acc_seg": 72.4341, "aux.loss_seg": 0.127, "aux.acc_seg": 71.06238, "loss": 0.39048, "time": 0.30098} -{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.27118, "decode.acc_seg": 71.55953, "aux.loss_seg": 0.13096, "aux.acc_seg": 70.0871, "loss": 0.40213, "time": 0.30041} -{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 36160, "data_time": 0.18059, "decode.loss_seg": 0.26457, "decode.acc_seg": 71.94287, "aux.loss_seg": 0.1268, "aux.acc_seg": 70.59148, "loss": 0.39136, "time": 0.47583} -{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.24082, "decode.acc_seg": 72.48908, "aux.loss_seg": 0.1169, "aux.acc_seg": 71.25804, "loss": 0.35772, "time": 0.29936} -{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.23765, "decode.acc_seg": 71.88023, "aux.loss_seg": 0.11606, "aux.acc_seg": 70.52538, "loss": 0.35372, "time": 0.29955} -{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.25105, "decode.acc_seg": 73.8291, "aux.loss_seg": 0.12271, "aux.acc_seg": 72.38387, "loss": 0.37376, "time": 0.29875} -{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.24728, "decode.acc_seg": 72.78205, "aux.loss_seg": 0.12109, "aux.acc_seg": 71.42703, "loss": 0.36838, "time": 0.29919} -{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.24714, "decode.acc_seg": 71.49565, "aux.loss_seg": 0.12153, "aux.acc_seg": 70.26123, "loss": 0.36868, "time": 0.29909} -{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.25827, "decode.acc_seg": 71.62077, "aux.loss_seg": 0.12588, "aux.acc_seg": 70.19776, "loss": 0.38415, "time": 0.30097} -{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.2514, "decode.acc_seg": 70.63219, "aux.loss_seg": 0.12386, "aux.acc_seg": 69.16928, "loss": 0.37526, "time": 0.30264} -{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.25104, "decode.acc_seg": 71.50279, "aux.loss_seg": 0.12152, "aux.acc_seg": 70.19229, "loss": 0.37256, "time": 0.30146} -{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.25794, "decode.acc_seg": 72.93784, "aux.loss_seg": 0.12501, "aux.acc_seg": 71.49754, "loss": 0.38296, "time": 0.30151} -{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.28534, "decode.acc_seg": 71.62477, "aux.loss_seg": 0.13582, "aux.acc_seg": 70.25137, "loss": 0.42116, "time": 0.30109} -{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.24671, "decode.acc_seg": 72.98062, "aux.loss_seg": 0.11773, "aux.acc_seg": 71.76096, "loss": 0.36444, "time": 0.30192} -{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.2395, "decode.acc_seg": 73.32702, "aux.loss_seg": 0.11788, "aux.acc_seg": 71.99751, "loss": 0.35739, "time": 0.30196} -{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.24957, "decode.acc_seg": 73.76217, "aux.loss_seg": 0.12128, "aux.acc_seg": 72.32868, "loss": 0.37085, "time": 0.30116} -{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.23736, "decode.acc_seg": 72.45743, "aux.loss_seg": 0.11637, "aux.acc_seg": 71.11845, "loss": 0.35373, "time": 0.30146} -{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.24873, "decode.acc_seg": 72.28159, "aux.loss_seg": 0.12008, "aux.acc_seg": 71.10433, "loss": 0.36881, "time": 0.30234} -{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.26021, "decode.acc_seg": 72.74061, "aux.loss_seg": 0.12366, "aux.acc_seg": 71.48758, "loss": 0.38387, "time": 0.30253} -{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.24806, "decode.acc_seg": 72.99258, "aux.loss_seg": 0.11964, "aux.acc_seg": 71.63969, "loss": 0.3677, "time": 0.30147} -{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.24963, "decode.acc_seg": 72.05566, "aux.loss_seg": 0.11935, "aux.acc_seg": 70.81847, "loss": 0.36898, "time": 0.30275} -{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.2544, "decode.acc_seg": 71.68235, "aux.loss_seg": 0.12385, "aux.acc_seg": 70.44237, "loss": 0.37825, "time": 0.30246} -{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.25775, "decode.acc_seg": 72.85336, "aux.loss_seg": 0.12591, "aux.acc_seg": 71.45872, "loss": 0.38366, "time": 0.30172} -{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.27161, "decode.acc_seg": 72.00388, "aux.loss_seg": 0.13223, "aux.acc_seg": 70.61609, "loss": 0.40384, "time": 0.30246} -{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.26849, "decode.acc_seg": 71.48465, "aux.loss_seg": 0.12958, "aux.acc_seg": 70.19858, "loss": 0.39808, "time": 0.3019} -{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.2535, "decode.acc_seg": 73.25344, "aux.loss_seg": 0.12311, "aux.acc_seg": 71.85811, "loss": 0.37661, "time": 0.30191} -{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.27015, "decode.acc_seg": 73.75052, "aux.loss_seg": 0.12985, "aux.acc_seg": 72.38568, "loss": 0.4, "time": 0.30039} -{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.26634, "decode.acc_seg": 72.74927, "aux.loss_seg": 0.12998, "aux.acc_seg": 71.2486, "loss": 0.39632, "time": 0.30218} -{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 36160, "data_time": 0.17114, "decode.loss_seg": 0.22135, "decode.acc_seg": 72.69185, "aux.loss_seg": 0.10898, "aux.acc_seg": 71.39537, "loss": 0.33033, "time": 0.46555} -{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.2535, "decode.acc_seg": 72.0277, "aux.loss_seg": 0.12277, "aux.acc_seg": 70.68722, "loss": 0.37627, "time": 0.29985} -{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.24871, "decode.acc_seg": 73.46545, "aux.loss_seg": 0.11902, "aux.acc_seg": 72.26444, "loss": 0.36774, "time": 0.29874} -{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.23478, "decode.acc_seg": 72.20737, "aux.loss_seg": 0.11194, "aux.acc_seg": 71.18762, "loss": 0.34672, "time": 0.29907} -{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 36160, "data_time": 0.00451, "decode.loss_seg": 0.2399, "decode.acc_seg": 71.828, "aux.loss_seg": 0.11737, "aux.acc_seg": 70.48709, "loss": 0.35727, "time": 0.30037} -{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.26257, "decode.acc_seg": 73.14662, "aux.loss_seg": 0.12708, "aux.acc_seg": 71.88627, "loss": 0.38964, "time": 0.29985} -{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.25104, "decode.acc_seg": 72.52705, "aux.loss_seg": 0.12062, "aux.acc_seg": 71.29421, "loss": 0.37166, "time": 0.30069} -{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.25356, "decode.acc_seg": 72.88577, "aux.loss_seg": 0.1234, "aux.acc_seg": 71.4725, "loss": 0.37695, "time": 0.30154} -{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 36160, "data_time": 0.00456, "decode.loss_seg": 0.26264, "decode.acc_seg": 72.31581, "aux.loss_seg": 0.12695, "aux.acc_seg": 70.9909, "loss": 0.38959, "time": 0.30119} -{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.25749, "decode.acc_seg": 72.62584, "aux.loss_seg": 0.12577, "aux.acc_seg": 71.20165, "loss": 0.38325, "time": 0.29981} -{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.2346, "decode.acc_seg": 73.10792, "aux.loss_seg": 0.11382, "aux.acc_seg": 71.82175, "loss": 0.34842, "time": 0.29977} -{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.25281, "decode.acc_seg": 72.1894, "aux.loss_seg": 0.12176, "aux.acc_seg": 70.8201, "loss": 0.37457, "time": 0.29933} -{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.25128, "decode.acc_seg": 74.07208, "aux.loss_seg": 0.12386, "aux.acc_seg": 72.59462, "loss": 0.37514, "time": 0.29978} -{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.24554, "decode.acc_seg": 73.16861, "aux.loss_seg": 0.1189, "aux.acc_seg": 71.89819, "loss": 0.36444, "time": 0.30101} -{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.24351, "decode.acc_seg": 70.44051, "aux.loss_seg": 0.11681, "aux.acc_seg": 69.25532, "loss": 0.36032, "time": 0.30138} -{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.25536, "decode.acc_seg": 72.88776, "aux.loss_seg": 0.12657, "aux.acc_seg": 71.47484, "loss": 0.38193, "time": 0.30044} -{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.25282, "decode.acc_seg": 74.07298, "aux.loss_seg": 0.12113, "aux.acc_seg": 72.88017, "loss": 0.37394, "time": 0.29959} -{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.23206, "decode.acc_seg": 73.76029, "aux.loss_seg": 0.11369, "aux.acc_seg": 72.39535, "loss": 0.34574, "time": 0.30043} -{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.25979, "decode.acc_seg": 72.57711, "aux.loss_seg": 0.12611, "aux.acc_seg": 71.29435, "loss": 0.3859, "time": 0.30093} -{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.2567, "decode.acc_seg": 71.81051, "aux.loss_seg": 0.12609, "aux.acc_seg": 70.33829, "loss": 0.38279, "time": 0.3011} -{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.25343, "decode.acc_seg": 72.08349, "aux.loss_seg": 0.12326, "aux.acc_seg": 70.6978, "loss": 0.37669, "time": 0.30023} -{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.26136, "decode.acc_seg": 70.81989, "aux.loss_seg": 0.12831, "aux.acc_seg": 69.29158, "loss": 0.38967, "time": 0.30009} -{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.26385, "decode.acc_seg": 72.99342, "aux.loss_seg": 0.12752, "aux.acc_seg": 71.6433, "loss": 0.39137, "time": 0.29965} -{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.25935, "decode.acc_seg": 73.81273, "aux.loss_seg": 0.1279, "aux.acc_seg": 72.45389, "loss": 0.38725, "time": 0.30066} -{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.26039, "decode.acc_seg": 72.25575, "aux.loss_seg": 0.1263, "aux.acc_seg": 70.86118, "loss": 0.38668, "time": 0.29954} -{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 36160, "data_time": 0.17357, "decode.loss_seg": 0.26446, "decode.acc_seg": 74.02766, "aux.loss_seg": 0.13029, "aux.acc_seg": 72.44372, "loss": 0.39475, "time": 0.46853} -{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.24898, "decode.acc_seg": 72.3239, "aux.loss_seg": 0.12152, "aux.acc_seg": 70.91984, "loss": 0.3705, "time": 0.29976} -{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.23907, "decode.acc_seg": 73.32079, "aux.loss_seg": 0.11873, "aux.acc_seg": 71.76384, "loss": 0.3578, "time": 0.30119} -{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.24425, "decode.acc_seg": 72.84026, "aux.loss_seg": 0.11991, "aux.acc_seg": 71.38482, "loss": 0.36416, "time": 0.3001} -{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.24604, "decode.acc_seg": 72.52221, "aux.loss_seg": 0.11899, "aux.acc_seg": 71.14927, "loss": 0.36503, "time": 0.30032} -{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.2469, "decode.acc_seg": 72.81676, "aux.loss_seg": 0.12127, "aux.acc_seg": 71.34797, "loss": 0.36816, "time": 0.30076} -{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.24547, "decode.acc_seg": 71.67149, "aux.loss_seg": 0.11864, "aux.acc_seg": 70.42073, "loss": 0.36411, "time": 0.30201} -{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.25048, "decode.acc_seg": 72.14625, "aux.loss_seg": 0.12032, "aux.acc_seg": 70.85693, "loss": 0.37079, "time": 0.30198} -{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.24736, "decode.acc_seg": 72.41396, "aux.loss_seg": 0.12052, "aux.acc_seg": 71.12721, "loss": 0.36788, "time": 0.30261} -{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.24487, "decode.acc_seg": 73.2103, "aux.loss_seg": 0.11849, "aux.acc_seg": 71.99891, "loss": 0.36336, "time": 0.30217} -{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.24941, "decode.acc_seg": 72.55169, "aux.loss_seg": 0.12224, "aux.acc_seg": 71.17881, "loss": 0.37165, "time": 0.30292} -{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.23202, "decode.acc_seg": 73.32072, "aux.loss_seg": 0.11406, "aux.acc_seg": 72.0611, "loss": 0.34608, "time": 0.3021} -{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.25025, "decode.acc_seg": 73.20618, "aux.loss_seg": 0.12185, "aux.acc_seg": 71.80388, "loss": 0.3721, "time": 0.3022} -{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.24838, "decode.acc_seg": 72.45611, "aux.loss_seg": 0.12042, "aux.acc_seg": 70.9747, "loss": 0.3688, "time": 0.30173} -{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.23996, "decode.acc_seg": 72.77455, "aux.loss_seg": 0.11492, "aux.acc_seg": 71.53608, "loss": 0.35488, "time": 0.30255} -{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.22946, "decode.acc_seg": 73.19718, "aux.loss_seg": 0.1117, "aux.acc_seg": 71.95278, "loss": 0.34115, "time": 0.30212} -{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.24104, "decode.acc_seg": 74.11832, "aux.loss_seg": 0.1186, "aux.acc_seg": 72.64546, "loss": 0.35964, "time": 0.30135} -{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.2583, "decode.acc_seg": 72.43546, "aux.loss_seg": 0.12594, "aux.acc_seg": 71.00099, "loss": 0.38424, "time": 0.30282} -{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.24517, "decode.acc_seg": 72.57748, "aux.loss_seg": 0.11965, "aux.acc_seg": 71.16608, "loss": 0.36482, "time": 0.30223} -{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.26758, "decode.acc_seg": 72.77784, "aux.loss_seg": 0.13111, "aux.acc_seg": 71.16971, "loss": 0.39869, "time": 0.30176} -{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 36160, "data_time": 0.00628, "decode.loss_seg": 0.26057, "decode.acc_seg": 72.72622, "aux.loss_seg": 0.12655, "aux.acc_seg": 71.32601, "loss": 0.38712, "time": 0.30403} -{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.24579, "decode.acc_seg": 73.19115, "aux.loss_seg": 0.12176, "aux.acc_seg": 71.6529, "loss": 0.36754, "time": 0.30346} -{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.24486, "decode.acc_seg": 73.02234, "aux.loss_seg": 0.118, "aux.acc_seg": 71.8245, "loss": 0.36286, "time": 0.30303} -{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.25279, "decode.acc_seg": 72.66572, "aux.loss_seg": 0.12344, "aux.acc_seg": 71.28472, "loss": 0.37623, "time": 0.30034} -{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.25886, "decode.acc_seg": 72.13604, "aux.loss_seg": 0.1243, "aux.acc_seg": 70.84739, "loss": 0.38316, "time": 0.30206} -{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 36160, "data_time": 0.16372, "decode.loss_seg": 0.24153, "decode.acc_seg": 72.7055, "aux.loss_seg": 0.11963, "aux.acc_seg": 71.27451, "loss": 0.36116, "time": 0.46091} -{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.23179, "decode.acc_seg": 72.91263, "aux.loss_seg": 0.11395, "aux.acc_seg": 71.51185, "loss": 0.34574, "time": 0.30023} -{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.24026, "decode.acc_seg": 73.41435, "aux.loss_seg": 0.11954, "aux.acc_seg": 72.00375, "loss": 0.3598, "time": 0.29993} -{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.25388, "decode.acc_seg": 72.12908, "aux.loss_seg": 0.12527, "aux.acc_seg": 70.61617, "loss": 0.37915, "time": 0.29987} -{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.23662, "decode.acc_seg": 72.42516, "aux.loss_seg": 0.11257, "aux.acc_seg": 71.36958, "loss": 0.3492, "time": 0.29915} -{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.25208, "decode.acc_seg": 70.51428, "aux.loss_seg": 0.12075, "aux.acc_seg": 69.1977, "loss": 0.37282, "time": 0.29904} -{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.23338, "decode.acc_seg": 72.04614, "aux.loss_seg": 0.11316, "aux.acc_seg": 70.68673, "loss": 0.34654, "time": 0.30109} -{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.25137, "decode.acc_seg": 73.06987, "aux.loss_seg": 0.12096, "aux.acc_seg": 71.79892, "loss": 0.37233, "time": 0.30088} -{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.23458, "decode.acc_seg": 72.76685, "aux.loss_seg": 0.11561, "aux.acc_seg": 71.41695, "loss": 0.3502, "time": 0.30101} -{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.23706, "decode.acc_seg": 72.17467, "aux.loss_seg": 0.11673, "aux.acc_seg": 70.84718, "loss": 0.35379, "time": 0.30105} -{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.22249, "decode.acc_seg": 73.46249, "aux.loss_seg": 0.10988, "aux.acc_seg": 72.06392, "loss": 0.33236, "time": 0.30087} -{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.24323, "decode.acc_seg": 73.11647, "aux.loss_seg": 0.11931, "aux.acc_seg": 71.75647, "loss": 0.36254, "time": 0.30051} -{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2491, "decode.acc_seg": 72.60984, "aux.loss_seg": 0.12096, "aux.acc_seg": 71.2393, "loss": 0.37006, "time": 0.30014} -{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.24466, "decode.acc_seg": 71.80371, "aux.loss_seg": 0.11845, "aux.acc_seg": 70.54561, "loss": 0.36311, "time": 0.30228} -{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.24802, "decode.acc_seg": 72.24879, "aux.loss_seg": 0.12263, "aux.acc_seg": 70.74811, "loss": 0.37065, "time": 0.30266} -{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.23631, "decode.acc_seg": 72.71082, "aux.loss_seg": 0.11661, "aux.acc_seg": 71.30321, "loss": 0.35292, "time": 0.30466} -{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.24144, "decode.acc_seg": 72.53587, "aux.loss_seg": 0.11903, "aux.acc_seg": 71.1462, "loss": 0.36047, "time": 0.30306} -{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.25235, "decode.acc_seg": 73.84499, "aux.loss_seg": 0.12183, "aux.acc_seg": 72.48033, "loss": 0.37418, "time": 0.30145} -{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.25144, "decode.acc_seg": 72.58515, "aux.loss_seg": 0.12216, "aux.acc_seg": 71.27719, "loss": 0.3736, "time": 0.30404} -{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.25594, "decode.acc_seg": 73.58327, "aux.loss_seg": 0.12515, "aux.acc_seg": 72.18974, "loss": 0.38109, "time": 0.30111} -{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.2463, "decode.acc_seg": 72.18732, "aux.loss_seg": 0.1199, "aux.acc_seg": 70.81171, "loss": 0.36621, "time": 0.30162} -{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.24586, "decode.acc_seg": 72.11788, "aux.loss_seg": 0.11896, "aux.acc_seg": 70.82857, "loss": 0.36482, "time": 0.30204} -{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.23865, "decode.acc_seg": 72.87421, "aux.loss_seg": 0.11745, "aux.acc_seg": 71.51136, "loss": 0.3561, "time": 0.30205} -{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.24843, "decode.acc_seg": 72.16033, "aux.loss_seg": 0.12018, "aux.acc_seg": 70.93076, "loss": 0.36861, "time": 0.30083} -{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.23169, "decode.acc_seg": 72.75108, "aux.loss_seg": 0.11212, "aux.acc_seg": 71.53691, "loss": 0.34381, "time": 0.30127} -{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.23755, "decode.acc_seg": 72.77076, "aux.loss_seg": 0.11726, "aux.acc_seg": 71.4107, "loss": 0.35481, "time": 0.30198} -{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 36160, "data_time": 0.16856, "decode.loss_seg": 0.25862, "decode.acc_seg": 73.90226, "aux.loss_seg": 0.12353, "aux.acc_seg": 72.68781, "loss": 0.38215, "time": 0.46512} -{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.23283, "decode.acc_seg": 71.82712, "aux.loss_seg": 0.1147, "aux.acc_seg": 70.52941, "loss": 0.34753, "time": 0.30149} -{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.23241, "decode.acc_seg": 73.77872, "aux.loss_seg": 0.11367, "aux.acc_seg": 72.46099, "loss": 0.34608, "time": 0.30106} -{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.24688, "decode.acc_seg": 71.63829, "aux.loss_seg": 0.12062, "aux.acc_seg": 70.39879, "loss": 0.3675, "time": 0.30154} -{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.24022, "decode.acc_seg": 73.01022, "aux.loss_seg": 0.11705, "aux.acc_seg": 71.64335, "loss": 0.35727, "time": 0.30064} -{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.24161, "decode.acc_seg": 73.94236, "aux.loss_seg": 0.11912, "aux.acc_seg": 72.55564, "loss": 0.36072, "time": 0.30076} -{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.25875, "decode.acc_seg": 72.77938, "aux.loss_seg": 0.12328, "aux.acc_seg": 71.49857, "loss": 0.38203, "time": 0.30399} -{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.23725, "decode.acc_seg": 73.65766, "aux.loss_seg": 0.1165, "aux.acc_seg": 72.34812, "loss": 0.35375, "time": 0.30433} -{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.25146, "decode.acc_seg": 72.70583, "aux.loss_seg": 0.12308, "aux.acc_seg": 71.36494, "loss": 0.37454, "time": 0.30222} -{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.26442, "decode.acc_seg": 73.53463, "aux.loss_seg": 0.13043, "aux.acc_seg": 71.84756, "loss": 0.39485, "time": 0.30277} -{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.25512, "decode.acc_seg": 72.16315, "aux.loss_seg": 0.12293, "aux.acc_seg": 70.89476, "loss": 0.37806, "time": 0.30378} -{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.25291, "decode.acc_seg": 73.34825, "aux.loss_seg": 0.12226, "aux.acc_seg": 71.99714, "loss": 0.37517, "time": 0.30227} -{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.2461, "decode.acc_seg": 72.94702, "aux.loss_seg": 0.11909, "aux.acc_seg": 71.62303, "loss": 0.36519, "time": 0.30229} -{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.2461, "decode.acc_seg": 71.47803, "aux.loss_seg": 0.1198, "aux.acc_seg": 70.22781, "loss": 0.3659, "time": 0.30047} -{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.25741, "decode.acc_seg": 72.90107, "aux.loss_seg": 0.12367, "aux.acc_seg": 71.49827, "loss": 0.38109, "time": 0.30321} -{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.25787, "decode.acc_seg": 73.14078, "aux.loss_seg": 0.12532, "aux.acc_seg": 71.69653, "loss": 0.3832, "time": 0.30154} -{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4696, "mAcc": 0.6046, "aAcc": 0.8169, "IoU.wall": 0.7564, "IoU.building": 0.8055, "IoU.sky": 0.9343, "IoU.floor": 0.8017, "IoU.tree": 0.7346, "IoU.ceiling": 0.8229, "IoU.road": 0.8136, "IoU.bed ": 0.868, "IoU.windowpane": 0.5871, "IoU.grass": 0.6634, "IoU.cabinet": 0.6008, "IoU.sidewalk": 0.6219, "IoU.person": 0.7666, "IoU.earth": 0.3352, "IoU.door": 0.4552, "IoU.table": 0.5574, "IoU.mountain": 0.5732, "IoU.plant": 0.5175, "IoU.curtain": 0.6997, "IoU.chair": 0.5528, "IoU.car": 0.8226, "IoU.water": 0.6219, "IoU.painting": 0.6948, "IoU.sofa": 0.5809, "IoU.shelf": 0.3939, "IoU.house": 0.4062, "IoU.sea": 0.5896, "IoU.mirror": 0.6132, "IoU.rug": 0.6543, "IoU.field": 0.3071, "IoU.armchair": 0.3915, "IoU.seat": 0.5896, "IoU.fence": 0.403, "IoU.desk": 0.4655, "IoU.rock": 0.4034, "IoU.wardrobe": 0.488, "IoU.lamp": 0.5822, "IoU.bathtub": 0.7153, "IoU.railing": 0.3595, "IoU.cushion": 0.5365, "IoU.base": 0.3221, "IoU.box": 0.2654, "IoU.column": 0.444, "IoU.signboard": 0.3598, "IoU.chest of drawers": 0.3788, "IoU.counter": 0.3174, "IoU.sand": 0.3885, "IoU.sink": 0.6825, "IoU.skyscraper": 0.6667, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7579, "IoU.grandstand": 0.4011, "IoU.path": 0.1886, "IoU.stairs": 0.2167, "IoU.runway": 0.6829, "IoU.case": 0.4488, "IoU.pool table": 0.899, "IoU.pillow": 0.5248, "IoU.screen door": 0.6404, "IoU.stairway": 0.2618, "IoU.river": 0.1202, "IoU.bridge": 0.629, "IoU.bookcase": 0.3867, "IoU.blind": NaN, "IoU.coffee table": 0.5107, "IoU.toilet": 0.8078, "IoU.flower": 0.4246, "IoU.book": 0.4177, "IoU.hill": 0.1181, "IoU.bench": 0.4106, "IoU.countertop": 0.4914, "IoU.stove": 0.6936, "IoU.palm": 0.481, "IoU.kitchen island": 0.3393, "IoU.computer": 0.6645, "IoU.swivel chair": 0.4488, "IoU.boat": 0.5413, "IoU.bar": 0.2899, "IoU.arcade machine": 0.7788, "IoU.hovel": 0.3232, "IoU.bus": 0.8757, "IoU.towel": 0.6376, "IoU.light": 0.5343, "IoU.truck": 0.2282, "IoU.tower": 0.0559, "IoU.chandelier": 0.6101, "IoU.awning": 0.2918, "IoU.streetlight": 0.2101, "IoU.booth": 0.5425, "IoU.television receiver": NaN, "IoU.airplane": 0.6019, "IoU.dirt track": 0.0834, "IoU.apparel": 0.3491, "IoU.pole": 0.1741, "IoU.land": 0.0386, "IoU.bannister": 0.0824, "IoU.escalator": 0.5664, "IoU.ottoman": 0.389, "IoU.bottle": NaN, "IoU.buffet": 0.4817, "IoU.poster": 0.2441, "IoU.stage": 0.194, "IoU.van": 0.3831, "IoU.ship": 0.6873, "IoU.fountain": 0.209, "IoU.conveyer belt": 0.7041, "IoU.canopy": 0.2577, "IoU.washer": 0.6843, "IoU.plaything": 0.1802, "IoU.swimming pool": 0.5553, "IoU.stool": 0.3888, "IoU.barrel": 0.3227, "IoU.basket": 0.3223, "IoU.waterfall": 0.5498, "IoU.tent": 0.7645, "IoU.bag": 0.1001, "IoU.minibike": 0.7032, "IoU.cradle": NaN, "IoU.oven": 0.2689, "IoU.ball": 0.4347, "IoU.food": 0.4399, "IoU.step": 0.1013, "IoU.tank": 0.522, "IoU.trade name": 0.2273, "IoU.microwave": 0.5292, "IoU.pot": 0.4814, "IoU.animal": NaN, "IoU.bicycle": 0.5406, "IoU.lake": 0.5441, "IoU.dishwasher": 0.4941, "IoU.screen": 0.686, "IoU.blanket": 0.1509, "IoU.sculpture": 0.6837, "IoU.hood": 0.5113, "IoU.sconce": 0.4234, "IoU.vase": 0.3115, "IoU.traffic light": 0.2639, "IoU.tray": 0.0535, "IoU.ashcan": 0.3714, "IoU.fan": 0.5621, "IoU.pier": 0.3083, "IoU.crt screen": 0.0021, "IoU.plate": 0.5647, "IoU.monitor": 0.1562, "IoU.bulletin board": 0.4885, "IoU.shower": 0.0028, "IoU.radiator": 0.5965, "IoU.glass": 0.1098, "IoU.clock": 0.3913, "IoU.flag": 0.5822, "Acc.wall": 0.8641, "Acc.building": 0.9121, "Acc.sky": 0.9678, "Acc.floor": 0.8948, "Acc.tree": 0.8524, "Acc.ceiling": 0.9124, "Acc.road": 0.8952, "Acc.bed ": 0.9477, "Acc.windowpane": 0.7791, "Acc.grass": 0.7589, "Acc.cabinet": 0.7472, "Acc.sidewalk": 0.7834, "Acc.person": 0.8864, "Acc.earth": 0.428, "Acc.door": 0.6007, "Acc.table": 0.7184, "Acc.mountain": 0.7369, "Acc.plant": 0.6357, "Acc.curtain": 0.8282, "Acc.chair": 0.7357, "Acc.car": 0.9108, "Acc.water": 0.8198, "Acc.painting": 0.8584, "Acc.sofa": 0.7491, "Acc.shelf": 0.5397, "Acc.house": 0.6279, "Acc.sea": 0.6755, "Acc.mirror": 0.7018, "Acc.rug": 0.7552, "Acc.field": 0.6296, "Acc.armchair": 0.5625, "Acc.seat": 0.7963, "Acc.fence": 0.562, "Acc.desk": 0.6359, "Acc.rock": 0.6439, "Acc.wardrobe": 0.6013, "Acc.lamp": 0.7147, "Acc.bathtub": 0.7761, "Acc.railing": 0.495, "Acc.cushion": 0.6604, "Acc.base": 0.4583, "Acc.box": 0.3363, "Acc.column": 0.5787, "Acc.signboard": 0.5221, "Acc.chest of drawers": 0.546, "Acc.counter": 0.3727, "Acc.sand": 0.7817, "Acc.sink": 0.7964, "Acc.skyscraper": 0.8474, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8941, "Acc.grandstand": 0.5815, "Acc.path": 0.2485, "Acc.stairs": 0.3054, "Acc.runway": 0.9642, "Acc.case": 0.6017, "Acc.pool table": 0.9651, "Acc.pillow": 0.642, "Acc.screen door": 0.77, "Acc.stairway": 0.3675, "Acc.river": 0.2122, "Acc.bridge": 0.7428, "Acc.bookcase": 0.4749, "Acc.blind": NaN, "Acc.coffee table": 0.8272, "Acc.toilet": 0.8792, "Acc.flower": 0.59, "Acc.book": 0.6521, "Acc.hill": 0.238, "Acc.bench": 0.4848, "Acc.countertop": 0.6315, "Acc.stove": 0.8066, "Acc.palm": 0.7646, "Acc.kitchen island": 0.6424, "Acc.computer": 0.7925, "Acc.swivel chair": 0.6738, "Acc.boat": 0.6859, "Acc.bar": 0.3678, "Acc.arcade machine": 0.9054, "Acc.hovel": 0.3663, "Acc.bus": 0.9525, "Acc.towel": 0.7904, "Acc.light": 0.6806, "Acc.truck": 0.3723, "Acc.tower": 0.1012, "Acc.chandelier": 0.8647, "Acc.awning": 0.3838, "Acc.streetlight": 0.2746, "Acc.booth": 0.64, "Acc.television receiver": NaN, "Acc.airplane": 0.7278, "Acc.dirt track": 0.3244, "Acc.apparel": 0.6228, "Acc.pole": 0.2252, "Acc.land": 0.0764, "Acc.bannister": 0.1049, "Acc.escalator": 0.7952, "Acc.ottoman": 0.4832, "Acc.bottle": NaN, "Acc.buffet": 0.5609, "Acc.poster": 0.3826, "Acc.stage": 0.2916, "Acc.van": 0.5004, "Acc.ship": 0.9723, "Acc.fountain": 0.2143, "Acc.conveyer belt": 0.9337, "Acc.canopy": 0.4167, "Acc.washer": 0.7796, "Acc.plaything": 0.3415, "Acc.swimming pool": 0.879, "Acc.stool": 0.5341, "Acc.barrel": 0.643, "Acc.basket": 0.419, "Acc.waterfall": 0.5924, "Acc.tent": 0.9784, "Acc.bag": 0.1203, "Acc.minibike": 0.8462, "Acc.cradle": NaN, "Acc.oven": 0.6851, "Acc.ball": 0.4658, "Acc.food": 0.507, "Acc.step": 0.1352, "Acc.tank": 0.6303, "Acc.trade name": 0.249, "Acc.microwave": 0.603, "Acc.pot": 0.536, "Acc.animal": NaN, "Acc.bicycle": 0.7756, "Acc.lake": 0.6213, "Acc.dishwasher": 0.5862, "Acc.screen": 0.8922, "Acc.blanket": 0.1959, "Acc.sculpture": 0.8256, "Acc.hood": 0.6604, "Acc.sconce": 0.5328, "Acc.vase": 0.447, "Acc.traffic light": 0.3978, "Acc.tray": 0.0984, "Acc.ashcan": 0.4691, "Acc.fan": 0.8122, "Acc.pier": 0.5982, "Acc.crt screen": 0.0062, "Acc.plate": 0.7369, "Acc.monitor": 0.1963, "Acc.bulletin board": 0.6517, "Acc.shower": 0.0043, "Acc.radiator": 0.7323, "Acc.glass": 0.114, "Acc.clock": 0.4872, "Acc.flag": 0.6645} -{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 36160, "data_time": 1.28285, "decode.loss_seg": 0.23984, "decode.acc_seg": 72.15161, "aux.loss_seg": 0.11866, "aux.acc_seg": 70.73601, "loss": 0.35851, "time": 1.57953} -{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.2388, "decode.acc_seg": 72.82016, "aux.loss_seg": 0.11843, "aux.acc_seg": 71.32265, "loss": 0.35724, "time": 0.29936} -{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.24741, "decode.acc_seg": 72.09645, "aux.loss_seg": 0.12097, "aux.acc_seg": 70.62094, "loss": 0.36838, "time": 0.2999} -{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.23904, "decode.acc_seg": 71.99635, "aux.loss_seg": 0.11597, "aux.acc_seg": 70.69495, "loss": 0.35501, "time": 0.30098} -{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 36160, "data_time": 0.0043, "decode.loss_seg": 0.24642, "decode.acc_seg": 73.58992, "aux.loss_seg": 0.11959, "aux.acc_seg": 72.26312, "loss": 0.36601, "time": 0.29965} -{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.23806, "decode.acc_seg": 71.51474, "aux.loss_seg": 0.11573, "aux.acc_seg": 70.22024, "loss": 0.35379, "time": 0.30036} -{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.24509, "decode.acc_seg": 73.58017, "aux.loss_seg": 0.11946, "aux.acc_seg": 72.33725, "loss": 0.36454, "time": 0.30061} -{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.22926, "decode.acc_seg": 72.59622, "aux.loss_seg": 0.11608, "aux.acc_seg": 71.01931, "loss": 0.34534, "time": 0.30096} -{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 36160, "data_time": 0.16863, "decode.loss_seg": 0.22908, "decode.acc_seg": 72.76773, "aux.loss_seg": 0.11185, "aux.acc_seg": 71.43422, "loss": 0.34092, "time": 0.46362} -{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.24955, "decode.acc_seg": 74.19002, "aux.loss_seg": 0.122, "aux.acc_seg": 72.71659, "loss": 0.37154, "time": 0.29828} -{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.24249, "decode.acc_seg": 73.84045, "aux.loss_seg": 0.12031, "aux.acc_seg": 72.42851, "loss": 0.36279, "time": 0.2982} -{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.23493, "decode.acc_seg": 73.40857, "aux.loss_seg": 0.11479, "aux.acc_seg": 72.01187, "loss": 0.34972, "time": 0.29922} -{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 36160, "data_time": 0.00441, "decode.loss_seg": 0.23099, "decode.acc_seg": 73.50551, "aux.loss_seg": 0.11515, "aux.acc_seg": 72.00491, "loss": 0.34615, "time": 0.30178} -{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.22704, "decode.acc_seg": 74.08705, "aux.loss_seg": 0.11103, "aux.acc_seg": 72.9281, "loss": 0.33807, "time": 0.30172} -{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.23973, "decode.acc_seg": 74.34218, "aux.loss_seg": 0.11676, "aux.acc_seg": 72.94242, "loss": 0.35649, "time": 0.30106} -{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.2379, "decode.acc_seg": 72.92294, "aux.loss_seg": 0.11385, "aux.acc_seg": 71.70383, "loss": 0.35175, "time": 0.30013} -{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.24895, "decode.acc_seg": 73.68428, "aux.loss_seg": 0.12419, "aux.acc_seg": 72.14688, "loss": 0.37313, "time": 0.30181} -{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 36160, "data_time": 0.00438, "decode.loss_seg": 0.2428, "decode.acc_seg": 71.65875, "aux.loss_seg": 0.11793, "aux.acc_seg": 70.40725, "loss": 0.36073, "time": 0.30122} -{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 36160, "data_time": 0.00435, "decode.loss_seg": 0.23875, "decode.acc_seg": 73.04497, "aux.loss_seg": 0.11807, "aux.acc_seg": 71.50127, "loss": 0.35682, "time": 0.30032} -{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.25066, "decode.acc_seg": 73.76963, "aux.loss_seg": 0.12053, "aux.acc_seg": 72.5788, "loss": 0.3712, "time": 0.29986} -{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 36160, "data_time": 0.0042, "decode.loss_seg": 0.23538, "decode.acc_seg": 73.83921, "aux.loss_seg": 0.11516, "aux.acc_seg": 72.39993, "loss": 0.35054, "time": 0.30158} -{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 36160, "data_time": 0.00431, "decode.loss_seg": 0.23592, "decode.acc_seg": 73.54592, "aux.loss_seg": 0.11555, "aux.acc_seg": 72.24684, "loss": 0.35146, "time": 0.3001} -{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 36160, "data_time": 0.0044, "decode.loss_seg": 0.2522, "decode.acc_seg": 73.16142, "aux.loss_seg": 0.12246, "aux.acc_seg": 71.77043, "loss": 0.37465, "time": 0.30155} -{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.24523, "decode.acc_seg": 72.22693, "aux.loss_seg": 0.12261, "aux.acc_seg": 70.59039, "loss": 0.36784, "time": 0.30173} -{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.23467, "decode.acc_seg": 72.21368, "aux.loss_seg": 0.11401, "aux.acc_seg": 70.88696, "loss": 0.34868, "time": 0.30078} -{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.23232, "decode.acc_seg": 72.78526, "aux.loss_seg": 0.1149, "aux.acc_seg": 71.35539, "loss": 0.34722, "time": 0.30282} -{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.23076, "decode.acc_seg": 72.1556, "aux.loss_seg": 0.11342, "aux.acc_seg": 70.80809, "loss": 0.34418, "time": 0.30036} -{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 36160, "data_time": 0.00438, "decode.loss_seg": 0.24341, "decode.acc_seg": 73.21533, "aux.loss_seg": 0.11959, "aux.acc_seg": 71.7479, "loss": 0.363, "time": 0.30172} -{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.23334, "decode.acc_seg": 72.84669, "aux.loss_seg": 0.11386, "aux.acc_seg": 71.63965, "loss": 0.3472, "time": 0.30004} -{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.24722, "decode.acc_seg": 72.30404, "aux.loss_seg": 0.12024, "aux.acc_seg": 70.98784, "loss": 0.36747, "time": 0.30156} -{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.21962, "decode.acc_seg": 73.40931, "aux.loss_seg": 0.10745, "aux.acc_seg": 72.12643, "loss": 0.32707, "time": 0.29988} -{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.23859, "decode.acc_seg": 73.4067, "aux.loss_seg": 0.11643, "aux.acc_seg": 71.93444, "loss": 0.35502, "time": 0.30128} -{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 36160, "data_time": 0.0044, "decode.loss_seg": 0.2461, "decode.acc_seg": 73.50613, "aux.loss_seg": 0.11994, "aux.acc_seg": 72.06091, "loss": 0.36604, "time": 0.30142} -{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 36160, "data_time": 0.17521, "decode.loss_seg": 0.2214, "decode.acc_seg": 73.22507, "aux.loss_seg": 0.10676, "aux.acc_seg": 72.0676, "loss": 0.32816, "time": 0.47075} -{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.2366, "decode.acc_seg": 71.00988, "aux.loss_seg": 0.11451, "aux.acc_seg": 69.749, "loss": 0.35111, "time": 0.30002} -{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.23096, "decode.acc_seg": 73.54786, "aux.loss_seg": 0.11299, "aux.acc_seg": 72.2579, "loss": 0.34395, "time": 0.30017} -{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.23479, "decode.acc_seg": 73.39919, "aux.loss_seg": 0.11625, "aux.acc_seg": 71.97566, "loss": 0.35104, "time": 0.30074} -{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.24565, "decode.acc_seg": 73.4108, "aux.loss_seg": 0.11801, "aux.acc_seg": 72.15354, "loss": 0.36367, "time": 0.30124} -{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.23797, "decode.acc_seg": 72.13315, "aux.loss_seg": 0.1168, "aux.acc_seg": 70.78061, "loss": 0.35477, "time": 0.30292} -{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.2366, "decode.acc_seg": 73.36733, "aux.loss_seg": 0.1182, "aux.acc_seg": 71.88046, "loss": 0.3548, "time": 0.30374} -{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.24042, "decode.acc_seg": 74.12931, "aux.loss_seg": 0.11888, "aux.acc_seg": 72.66784, "loss": 0.3593, "time": 0.3032} -{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.24893, "decode.acc_seg": 71.82651, "aux.loss_seg": 0.11958, "aux.acc_seg": 70.53108, "loss": 0.36851, "time": 0.3028} -{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.24215, "decode.acc_seg": 72.56301, "aux.loss_seg": 0.12091, "aux.acc_seg": 70.98883, "loss": 0.36306, "time": 0.30154} -{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.23997, "decode.acc_seg": 72.87777, "aux.loss_seg": 0.11544, "aux.acc_seg": 71.52658, "loss": 0.35541, "time": 0.30125} -{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.23174, "decode.acc_seg": 73.77165, "aux.loss_seg": 0.11393, "aux.acc_seg": 72.46896, "loss": 0.34567, "time": 0.30105} -{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.2322, "decode.acc_seg": 74.76836, "aux.loss_seg": 0.11338, "aux.acc_seg": 73.6028, "loss": 0.34558, "time": 0.30158} -{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.2372, "decode.acc_seg": 71.25105, "aux.loss_seg": 0.11423, "aux.acc_seg": 70.00935, "loss": 0.35143, "time": 0.30401} -{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.22974, "decode.acc_seg": 73.06797, "aux.loss_seg": 0.11128, "aux.acc_seg": 71.7634, "loss": 0.34102, "time": 0.3029} -{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.23827, "decode.acc_seg": 73.08846, "aux.loss_seg": 0.1158, "aux.acc_seg": 71.76111, "loss": 0.35407, "time": 0.30315} -{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.23566, "decode.acc_seg": 73.40411, "aux.loss_seg": 0.11573, "aux.acc_seg": 71.91231, "loss": 0.35139, "time": 0.30314} -{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.22885, "decode.acc_seg": 73.72688, "aux.loss_seg": 0.11325, "aux.acc_seg": 72.41671, "loss": 0.3421, "time": 0.30406} -{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.2222, "decode.acc_seg": 74.44919, "aux.loss_seg": 0.10853, "aux.acc_seg": 73.25585, "loss": 0.33074, "time": 0.30472} -{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.23981, "decode.acc_seg": 72.46041, "aux.loss_seg": 0.11647, "aux.acc_seg": 71.25686, "loss": 0.35628, "time": 0.30259} -{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.23229, "decode.acc_seg": 72.40643, "aux.loss_seg": 0.11285, "aux.acc_seg": 71.10826, "loss": 0.34514, "time": 0.30445} -{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.22705, "decode.acc_seg": 73.67748, "aux.loss_seg": 0.11116, "aux.acc_seg": 72.42146, "loss": 0.33821, "time": 0.30284} -{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.24379, "decode.acc_seg": 72.80188, "aux.loss_seg": 0.11881, "aux.acc_seg": 71.43086, "loss": 0.36261, "time": 0.30181} -{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.23324, "decode.acc_seg": 72.24505, "aux.loss_seg": 0.11353, "aux.acc_seg": 70.91877, "loss": 0.34676, "time": 0.30163} -{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.24116, "decode.acc_seg": 74.25955, "aux.loss_seg": 0.1174, "aux.acc_seg": 73.0009, "loss": 0.35856, "time": 0.30188} -{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 36160, "data_time": 0.17, "decode.loss_seg": 0.25336, "decode.acc_seg": 71.62629, "aux.loss_seg": 0.12297, "aux.acc_seg": 70.18961, "loss": 0.37633, "time": 0.47913} -{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.22983, "decode.acc_seg": 72.78627, "aux.loss_seg": 0.11437, "aux.acc_seg": 71.15574, "loss": 0.34419, "time": 0.30007} -{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.2255, "decode.acc_seg": 73.71956, "aux.loss_seg": 0.11271, "aux.acc_seg": 72.27169, "loss": 0.3382, "time": 0.29904} -{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.25422, "decode.acc_seg": 72.33887, "aux.loss_seg": 0.12507, "aux.acc_seg": 70.89429, "loss": 0.37929, "time": 0.29939} -{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.22443, "decode.acc_seg": 72.66222, "aux.loss_seg": 0.1116, "aux.acc_seg": 71.31786, "loss": 0.33603, "time": 0.29878} -{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.23902, "decode.acc_seg": 72.25846, "aux.loss_seg": 0.11583, "aux.acc_seg": 70.93905, "loss": 0.35485, "time": 0.2998} -{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 36160, "data_time": 0.00456, "decode.loss_seg": 0.23589, "decode.acc_seg": 73.19279, "aux.loss_seg": 0.115, "aux.acc_seg": 71.80302, "loss": 0.35089, "time": 0.29993} -{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.23626, "decode.acc_seg": 72.39888, "aux.loss_seg": 0.11613, "aux.acc_seg": 71.01762, "loss": 0.35239, "time": 0.30206} -{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.23253, "decode.acc_seg": 74.08929, "aux.loss_seg": 0.11381, "aux.acc_seg": 72.68652, "loss": 0.34634, "time": 0.30224} -{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.24334, "decode.acc_seg": 72.90319, "aux.loss_seg": 0.11803, "aux.acc_seg": 71.53156, "loss": 0.36137, "time": 0.30189} -{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.23016, "decode.acc_seg": 73.86176, "aux.loss_seg": 0.11472, "aux.acc_seg": 72.44817, "loss": 0.34488, "time": 0.30312} -{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.21864, "decode.acc_seg": 72.9639, "aux.loss_seg": 0.10929, "aux.acc_seg": 71.6048, "loss": 0.32792, "time": 0.30138} -{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 36160, "data_time": 0.00437, "decode.loss_seg": 0.23867, "decode.acc_seg": 74.15737, "aux.loss_seg": 0.1166, "aux.acc_seg": 72.89165, "loss": 0.35526, "time": 0.29942} -{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 36160, "data_time": 0.00419, "decode.loss_seg": 0.23282, "decode.acc_seg": 74.08305, "aux.loss_seg": 0.11257, "aux.acc_seg": 72.90049, "loss": 0.34539, "time": 0.29965} -{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 36160, "data_time": 0.0044, "decode.loss_seg": 0.23367, "decode.acc_seg": 72.76734, "aux.loss_seg": 0.11255, "aux.acc_seg": 71.60085, "loss": 0.34622, "time": 0.30185} -{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.22429, "decode.acc_seg": 71.3968, "aux.loss_seg": 0.10931, "aux.acc_seg": 70.15007, "loss": 0.3336, "time": 0.3027} -{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 36160, "data_time": 0.00448, "decode.loss_seg": 0.22884, "decode.acc_seg": 72.741, "aux.loss_seg": 0.11307, "aux.acc_seg": 71.43738, "loss": 0.34191, "time": 0.30427} -{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.2335, "decode.acc_seg": 74.09174, "aux.loss_seg": 0.11242, "aux.acc_seg": 73.03178, "loss": 0.34592, "time": 0.30246} -{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.24987, "decode.acc_seg": 73.6526, "aux.loss_seg": 0.12152, "aux.acc_seg": 72.32358, "loss": 0.3714, "time": 0.30213} -{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.2327, "decode.acc_seg": 73.60582, "aux.loss_seg": 0.11446, "aux.acc_seg": 72.15985, "loss": 0.34716, "time": 0.30155} -{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.23005, "decode.acc_seg": 72.96756, "aux.loss_seg": 0.1142, "aux.acc_seg": 71.5463, "loss": 0.34425, "time": 0.3028} -{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.2342, "decode.acc_seg": 72.43243, "aux.loss_seg": 0.1143, "aux.acc_seg": 71.12646, "loss": 0.3485, "time": 0.304} -{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.23307, "decode.acc_seg": 73.08594, "aux.loss_seg": 0.11407, "aux.acc_seg": 71.8157, "loss": 0.34714, "time": 0.30248} -{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.22198, "decode.acc_seg": 73.75612, "aux.loss_seg": 0.10781, "aux.acc_seg": 72.56624, "loss": 0.32979, "time": 0.29952} -{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.23027, "decode.acc_seg": 73.37711, "aux.loss_seg": 0.11347, "aux.acc_seg": 71.95999, "loss": 0.34374, "time": 0.30046} -{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.23341, "decode.acc_seg": 72.78575, "aux.loss_seg": 0.11531, "aux.acc_seg": 71.45748, "loss": 0.34872, "time": 0.30256} -{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 36160, "data_time": 0.18745, "decode.loss_seg": 0.23924, "decode.acc_seg": 71.91877, "aux.loss_seg": 0.11936, "aux.acc_seg": 70.37101, "loss": 0.3586, "time": 0.48437} -{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.2248, "decode.acc_seg": 72.44531, "aux.loss_seg": 0.11016, "aux.acc_seg": 71.14147, "loss": 0.33497, "time": 0.30097} -{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.23326, "decode.acc_seg": 74.38774, "aux.loss_seg": 0.11772, "aux.acc_seg": 72.92494, "loss": 0.35098, "time": 0.30066} -{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.22845, "decode.acc_seg": 74.32566, "aux.loss_seg": 0.11315, "aux.acc_seg": 72.7706, "loss": 0.3416, "time": 0.30121} -{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.21925, "decode.acc_seg": 72.29285, "aux.loss_seg": 0.10785, "aux.acc_seg": 71.15684, "loss": 0.3271, "time": 0.30084} -{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.2363, "decode.acc_seg": 73.28178, "aux.loss_seg": 0.11555, "aux.acc_seg": 71.88365, "loss": 0.35185, "time": 0.29997} -{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.22548, "decode.acc_seg": 73.26632, "aux.loss_seg": 0.1112, "aux.acc_seg": 71.8873, "loss": 0.33668, "time": 0.30106} -{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.22997, "decode.acc_seg": 72.52403, "aux.loss_seg": 0.11415, "aux.acc_seg": 71.02527, "loss": 0.34412, "time": 0.3023} -{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.23853, "decode.acc_seg": 74.24492, "aux.loss_seg": 0.1162, "aux.acc_seg": 72.841, "loss": 0.35473, "time": 0.30056} -{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.22104, "decode.acc_seg": 73.62112, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.51006, "loss": 0.32857, "time": 0.30085} -{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22433, "decode.acc_seg": 73.94988, "aux.loss_seg": 0.109, "aux.acc_seg": 72.68522, "loss": 0.33333, "time": 0.30061} -{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.21495, "decode.acc_seg": 73.59833, "aux.loss_seg": 0.10567, "aux.acc_seg": 72.29666, "loss": 0.32062, "time": 0.30096} -{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.2329, "decode.acc_seg": 74.21021, "aux.loss_seg": 0.11408, "aux.acc_seg": 72.88065, "loss": 0.34699, "time": 0.30176} -{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.22809, "decode.acc_seg": 72.9115, "aux.loss_seg": 0.11161, "aux.acc_seg": 71.64293, "loss": 0.3397, "time": 0.30233} -{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.24119, "decode.acc_seg": 74.5768, "aux.loss_seg": 0.11767, "aux.acc_seg": 73.32307, "loss": 0.35887, "time": 0.30104} -{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.22819, "decode.acc_seg": 74.47716, "aux.loss_seg": 0.11363, "aux.acc_seg": 73.21906, "loss": 0.34182, "time": 0.30157} -{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.23502, "decode.acc_seg": 71.40332, "aux.loss_seg": 0.1164, "aux.acc_seg": 69.94505, "loss": 0.35141, "time": 0.30227} -{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.22456, "decode.acc_seg": 73.58959, "aux.loss_seg": 0.11219, "aux.acc_seg": 72.15055, "loss": 0.33675, "time": 0.3016} -{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.24224, "decode.acc_seg": 74.52953, "aux.loss_seg": 0.11573, "aux.acc_seg": 73.14346, "loss": 0.35797, "time": 0.299} -{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.22046, "decode.acc_seg": 72.42027, "aux.loss_seg": 0.10841, "aux.acc_seg": 71.12308, "loss": 0.32887, "time": 0.2995} -{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.22779, "decode.acc_seg": 72.86088, "aux.loss_seg": 0.11387, "aux.acc_seg": 71.35053, "loss": 0.34166, "time": 0.29911} -{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22809, "decode.acc_seg": 72.82831, "aux.loss_seg": 0.11146, "aux.acc_seg": 71.53797, "loss": 0.33955, "time": 0.3003} -{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.23861, "decode.acc_seg": 73.74627, "aux.loss_seg": 0.11732, "aux.acc_seg": 72.40409, "loss": 0.35593, "time": 0.2997} -{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.23778, "decode.acc_seg": 73.2894, "aux.loss_seg": 0.11572, "aux.acc_seg": 72.0013, "loss": 0.3535, "time": 0.30172} -{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.23349, "decode.acc_seg": 72.86673, "aux.loss_seg": 0.11283, "aux.acc_seg": 71.7583, "loss": 0.34632, "time": 0.30285} -{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 36160, "data_time": 0.1691, "decode.loss_seg": 0.24367, "decode.acc_seg": 73.01019, "aux.loss_seg": 0.11691, "aux.acc_seg": 71.74426, "loss": 0.36058, "time": 0.46435} -{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.21404, "decode.acc_seg": 73.01806, "aux.loss_seg": 0.10554, "aux.acc_seg": 71.84015, "loss": 0.31958, "time": 0.29924} -{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.21932, "decode.acc_seg": 74.42154, "aux.loss_seg": 0.10921, "aux.acc_seg": 73.0757, "loss": 0.32853, "time": 0.29831} -{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.23326, "decode.acc_seg": 73.61435, "aux.loss_seg": 0.11432, "aux.acc_seg": 72.25087, "loss": 0.34758, "time": 0.29895} -{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.22836, "decode.acc_seg": 73.80087, "aux.loss_seg": 0.11034, "aux.acc_seg": 72.49411, "loss": 0.3387, "time": 0.29968} -{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.24624, "decode.acc_seg": 72.76761, "aux.loss_seg": 0.1216, "aux.acc_seg": 71.30028, "loss": 0.36783, "time": 0.30041} -{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.2391, "decode.acc_seg": 72.5177, "aux.loss_seg": 0.11787, "aux.acc_seg": 71.09848, "loss": 0.35697, "time": 0.3019} -{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.24308, "decode.acc_seg": 72.34499, "aux.loss_seg": 0.11661, "aux.acc_seg": 71.0357, "loss": 0.35968, "time": 0.3022} -{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.23324, "decode.acc_seg": 73.5048, "aux.loss_seg": 0.11425, "aux.acc_seg": 72.24126, "loss": 0.34749, "time": 0.30142} -{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.22056, "decode.acc_seg": 73.48162, "aux.loss_seg": 0.11021, "aux.acc_seg": 72.02136, "loss": 0.33077, "time": 0.30265} -{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.23317, "decode.acc_seg": 72.15518, "aux.loss_seg": 0.11342, "aux.acc_seg": 70.98664, "loss": 0.34659, "time": 0.3026} -{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.25896, "decode.acc_seg": 71.77984, "aux.loss_seg": 0.124, "aux.acc_seg": 70.47452, "loss": 0.38295, "time": 0.30262} -{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.24262, "decode.acc_seg": 73.04149, "aux.loss_seg": 0.11804, "aux.acc_seg": 71.67944, "loss": 0.36066, "time": 0.30117} -{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.24118, "decode.acc_seg": 72.99356, "aux.loss_seg": 0.11686, "aux.acc_seg": 71.6609, "loss": 0.35804, "time": 0.30022} -{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.23114, "decode.acc_seg": 73.86694, "aux.loss_seg": 0.11391, "aux.acc_seg": 72.43156, "loss": 0.34505, "time": 0.30069} -{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.23892, "decode.acc_seg": 75.30035, "aux.loss_seg": 0.11623, "aux.acc_seg": 73.80224, "loss": 0.35516, "time": 0.30172} -{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.22779, "decode.acc_seg": 74.53738, "aux.loss_seg": 0.11137, "aux.acc_seg": 73.13871, "loss": 0.33917, "time": 0.30242} -{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.23816, "decode.acc_seg": 73.82119, "aux.loss_seg": 0.11352, "aux.acc_seg": 72.60334, "loss": 0.35169, "time": 0.30159} -{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.23289, "decode.acc_seg": 73.44823, "aux.loss_seg": 0.11366, "aux.acc_seg": 72.17466, "loss": 0.34655, "time": 0.29955} -{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.24928, "decode.acc_seg": 73.40954, "aux.loss_seg": 0.12028, "aux.acc_seg": 72.11847, "loss": 0.36957, "time": 0.30065} -{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.23417, "decode.acc_seg": 73.90895, "aux.loss_seg": 0.11363, "aux.acc_seg": 72.53465, "loss": 0.3478, "time": 0.30277} -{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.23356, "decode.acc_seg": 72.57649, "aux.loss_seg": 0.11442, "aux.acc_seg": 71.15376, "loss": 0.34798, "time": 0.30458} -{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.22985, "decode.acc_seg": 73.36661, "aux.loss_seg": 0.11196, "aux.acc_seg": 72.12163, "loss": 0.34181, "time": 0.30124} -{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.2255, "decode.acc_seg": 72.50594, "aux.loss_seg": 0.11179, "aux.acc_seg": 71.10979, "loss": 0.33728, "time": 0.30083} -{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.23283, "decode.acc_seg": 72.75562, "aux.loss_seg": 0.11326, "aux.acc_seg": 71.43659, "loss": 0.34609, "time": 0.30094} -{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 36160, "data_time": 0.18452, "decode.loss_seg": 0.23656, "decode.acc_seg": 72.99189, "aux.loss_seg": 0.11537, "aux.acc_seg": 71.72799, "loss": 0.35193, "time": 0.4792} -{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.23091, "decode.acc_seg": 74.27893, "aux.loss_seg": 0.11451, "aux.acc_seg": 72.90604, "loss": 0.34542, "time": 0.3008} -{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.22498, "decode.acc_seg": 73.49889, "aux.loss_seg": 0.11277, "aux.acc_seg": 72.16221, "loss": 0.33774, "time": 0.29946} -{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.2314, "decode.acc_seg": 73.8475, "aux.loss_seg": 0.11529, "aux.acc_seg": 72.49837, "loss": 0.34669, "time": 0.2991} -{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.22178, "decode.acc_seg": 73.51336, "aux.loss_seg": 0.10851, "aux.acc_seg": 72.21569, "loss": 0.33029, "time": 0.29931} -{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.22686, "decode.acc_seg": 74.67699, "aux.loss_seg": 0.11123, "aux.acc_seg": 73.36644, "loss": 0.33809, "time": 0.29934} -{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.23391, "decode.acc_seg": 73.8303, "aux.loss_seg": 0.115, "aux.acc_seg": 72.4695, "loss": 0.34891, "time": 0.3036} -{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.22321, "decode.acc_seg": 73.45485, "aux.loss_seg": 0.10982, "aux.acc_seg": 72.23174, "loss": 0.33303, "time": 0.30288} -{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.22598, "decode.acc_seg": 73.89682, "aux.loss_seg": 0.11122, "aux.acc_seg": 72.59506, "loss": 0.3372, "time": 0.30178} -{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.22281, "decode.acc_seg": 73.8938, "aux.loss_seg": 0.11033, "aux.acc_seg": 72.58427, "loss": 0.33314, "time": 0.30409} -{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.21903, "decode.acc_seg": 75.70518, "aux.loss_seg": 0.10804, "aux.acc_seg": 74.40194, "loss": 0.32706, "time": 0.30188} -{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.22821, "decode.acc_seg": 73.27107, "aux.loss_seg": 0.11245, "aux.acc_seg": 71.86656, "loss": 0.34066, "time": 0.30166} -{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.23387, "decode.acc_seg": 72.1583, "aux.loss_seg": 0.11578, "aux.acc_seg": 70.74486, "loss": 0.34965, "time": 0.30049} -{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.21748, "decode.acc_seg": 73.29036, "aux.loss_seg": 0.10753, "aux.acc_seg": 72.01218, "loss": 0.32501, "time": 0.30047} -{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.22804, "decode.acc_seg": 73.20717, "aux.loss_seg": 0.11291, "aux.acc_seg": 71.78371, "loss": 0.34095, "time": 0.29953} -{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.227, "decode.acc_seg": 73.4085, "aux.loss_seg": 0.11221, "aux.acc_seg": 72.0757, "loss": 0.33922, "time": 0.29998} -{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.22909, "decode.acc_seg": 73.04592, "aux.loss_seg": 0.11263, "aux.acc_seg": 71.64099, "loss": 0.34172, "time": 0.3011} -{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.20421, "decode.acc_seg": 72.83581, "aux.loss_seg": 0.10164, "aux.acc_seg": 71.52765, "loss": 0.30585, "time": 0.2999} -{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.22845, "decode.acc_seg": 72.57106, "aux.loss_seg": 0.11181, "aux.acc_seg": 71.25533, "loss": 0.34026, "time": 0.30001} -{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.20821, "decode.acc_seg": 72.02973, "aux.loss_seg": 0.10367, "aux.acc_seg": 70.74939, "loss": 0.31188, "time": 0.30033} -{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.22675, "decode.acc_seg": 74.14438, "aux.loss_seg": 0.11262, "aux.acc_seg": 72.80562, "loss": 0.33937, "time": 0.30222} -{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.23054, "decode.acc_seg": 73.83179, "aux.loss_seg": 0.11396, "aux.acc_seg": 72.47892, "loss": 0.3445, "time": 0.30085} -{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.2379, "decode.acc_seg": 72.75377, "aux.loss_seg": 0.11691, "aux.acc_seg": 71.4067, "loss": 0.35481, "time": 0.30147} -{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.222, "decode.acc_seg": 73.10587, "aux.loss_seg": 0.11012, "aux.acc_seg": 71.67901, "loss": 0.33212, "time": 0.30083} -{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.23954, "decode.acc_seg": 72.51023, "aux.loss_seg": 0.11677, "aux.acc_seg": 71.21704, "loss": 0.35631, "time": 0.30209} -{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 36160, "data_time": 0.17375, "decode.loss_seg": 0.23125, "decode.acc_seg": 72.8863, "aux.loss_seg": 0.11399, "aux.acc_seg": 71.57357, "loss": 0.34523, "time": 0.46881} -{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.22939, "decode.acc_seg": 74.00737, "aux.loss_seg": 0.11323, "aux.acc_seg": 72.56425, "loss": 0.34262, "time": 0.30058} -{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.23049, "decode.acc_seg": 73.4476, "aux.loss_seg": 0.11312, "aux.acc_seg": 72.22072, "loss": 0.34361, "time": 0.30033} -{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.23983, "decode.acc_seg": 72.73767, "aux.loss_seg": 0.11935, "aux.acc_seg": 71.33546, "loss": 0.35918, "time": 0.30104} -{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.21074, "decode.acc_seg": 74.49311, "aux.loss_seg": 0.10437, "aux.acc_seg": 73.18801, "loss": 0.31511, "time": 0.30111} -{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.21934, "decode.acc_seg": 72.04768, "aux.loss_seg": 0.10889, "aux.acc_seg": 70.63502, "loss": 0.32823, "time": 0.30079} -{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.2274, "decode.acc_seg": 75.00619, "aux.loss_seg": 0.11151, "aux.acc_seg": 73.61678, "loss": 0.33892, "time": 0.29978} -{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.22451, "decode.acc_seg": 73.69408, "aux.loss_seg": 0.11099, "aux.acc_seg": 72.37968, "loss": 0.3355, "time": 0.30039} -{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.22936, "decode.acc_seg": 73.64679, "aux.loss_seg": 0.11418, "aux.acc_seg": 72.25437, "loss": 0.34355, "time": 0.30296} -{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.22369, "decode.acc_seg": 73.59936, "aux.loss_seg": 0.11065, "aux.acc_seg": 72.1669, "loss": 0.33434, "time": 0.30255} -{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.21657, "decode.acc_seg": 72.79142, "aux.loss_seg": 0.10653, "aux.acc_seg": 71.45365, "loss": 0.3231, "time": 0.3019} -{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.22631, "decode.acc_seg": 73.69668, "aux.loss_seg": 0.11362, "aux.acc_seg": 72.23586, "loss": 0.33992, "time": 0.30204} -{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.22894, "decode.acc_seg": 72.68654, "aux.loss_seg": 0.1114, "aux.acc_seg": 71.41867, "loss": 0.34033, "time": 0.30153} -{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.21945, "decode.acc_seg": 73.49415, "aux.loss_seg": 0.10875, "aux.acc_seg": 72.16624, "loss": 0.3282, "time": 0.30013} -{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.23343, "decode.acc_seg": 73.58282, "aux.loss_seg": 0.11575, "aux.acc_seg": 72.16491, "loss": 0.34917, "time": 0.30248} -{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.22265, "decode.acc_seg": 73.48625, "aux.loss_seg": 0.10851, "aux.acc_seg": 72.20545, "loss": 0.33116, "time": 0.29981} -{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.23461, "decode.acc_seg": 73.84021, "aux.loss_seg": 0.11514, "aux.acc_seg": 72.4997, "loss": 0.34976, "time": 0.30004} -{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.22311, "decode.acc_seg": 73.43374, "aux.loss_seg": 0.109, "aux.acc_seg": 72.26659, "loss": 0.3321, "time": 0.29971} -{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.24729, "decode.acc_seg": 72.31805, "aux.loss_seg": 0.12152, "aux.acc_seg": 70.81258, "loss": 0.36881, "time": 0.30093} -{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.23843, "decode.acc_seg": 73.96098, "aux.loss_seg": 0.11669, "aux.acc_seg": 72.5525, "loss": 0.35512, "time": 0.30203} -{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.22789, "decode.acc_seg": 73.74707, "aux.loss_seg": 0.11162, "aux.acc_seg": 72.46446, "loss": 0.33951, "time": 0.30071} -{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.22543, "decode.acc_seg": 73.38325, "aux.loss_seg": 0.10947, "aux.acc_seg": 72.11776, "loss": 0.33489, "time": 0.30148} -{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.22135, "decode.acc_seg": 72.76171, "aux.loss_seg": 0.10965, "aux.acc_seg": 71.39268, "loss": 0.331, "time": 0.30251} -{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.24417, "decode.acc_seg": 74.70747, "aux.loss_seg": 0.1188, "aux.acc_seg": 73.36074, "loss": 0.36297, "time": 0.30272} -{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.23618, "decode.acc_seg": 72.93463, "aux.loss_seg": 0.11737, "aux.acc_seg": 71.48986, "loss": 0.35355, "time": 0.30234} -{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22444, "decode.acc_seg": 72.30063, "aux.loss_seg": 0.11141, "aux.acc_seg": 70.89973, "loss": 0.33585, "time": 0.30148} -{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 36160, "data_time": 0.14857, "decode.loss_seg": 0.21847, "decode.acc_seg": 73.57815, "aux.loss_seg": 0.10829, "aux.acc_seg": 72.26156, "loss": 0.32677, "time": 0.45627} -{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.22422, "decode.acc_seg": 73.18742, "aux.loss_seg": 0.11263, "aux.acc_seg": 71.73559, "loss": 0.33685, "time": 0.30036} -{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.22999, "decode.acc_seg": 73.1818, "aux.loss_seg": 0.11236, "aux.acc_seg": 71.8018, "loss": 0.34234, "time": 0.30111} -{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.22738, "decode.acc_seg": 75.38648, "aux.loss_seg": 0.11237, "aux.acc_seg": 74.02288, "loss": 0.33975, "time": 0.30106} -{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.233, "decode.acc_seg": 72.6154, "aux.loss_seg": 0.11575, "aux.acc_seg": 71.24595, "loss": 0.34875, "time": 0.30094} -{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.21829, "decode.acc_seg": 73.22373, "aux.loss_seg": 0.10817, "aux.acc_seg": 71.87655, "loss": 0.32646, "time": 0.30025} -{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 36160, "data_time": 0.00661, "decode.loss_seg": 0.21636, "decode.acc_seg": 72.04488, "aux.loss_seg": 0.10714, "aux.acc_seg": 70.70856, "loss": 0.3235, "time": 0.30273} -{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.22522, "decode.acc_seg": 72.62894, "aux.loss_seg": 0.11045, "aux.acc_seg": 71.23761, "loss": 0.33567, "time": 0.30193} -{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.21462, "decode.acc_seg": 74.42969, "aux.loss_seg": 0.10486, "aux.acc_seg": 73.24258, "loss": 0.31949, "time": 0.30201} -{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.22639, "decode.acc_seg": 73.36378, "aux.loss_seg": 0.11055, "aux.acc_seg": 72.04005, "loss": 0.33694, "time": 0.30125} -{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.21587, "decode.acc_seg": 73.03499, "aux.loss_seg": 0.10803, "aux.acc_seg": 71.70249, "loss": 0.3239, "time": 0.30101} -{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.21437, "decode.acc_seg": 73.67673, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.52411, "loss": 0.3203, "time": 0.30097} -{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.22863, "decode.acc_seg": 75.14092, "aux.loss_seg": 0.11244, "aux.acc_seg": 73.82969, "loss": 0.34107, "time": 0.30135} -{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.21349, "decode.acc_seg": 73.17251, "aux.loss_seg": 0.10792, "aux.acc_seg": 71.70438, "loss": 0.32141, "time": 0.30075} -{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.21698, "decode.acc_seg": 74.25735, "aux.loss_seg": 0.10778, "aux.acc_seg": 72.85659, "loss": 0.32476, "time": 0.30257} -{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.21904, "decode.acc_seg": 73.56835, "aux.loss_seg": 0.10859, "aux.acc_seg": 72.28256, "loss": 0.32763, "time": 0.30113} -{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.22051, "decode.acc_seg": 74.19336, "aux.loss_seg": 0.1096, "aux.acc_seg": 72.87165, "loss": 0.33011, "time": 0.30248} -{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.21885, "decode.acc_seg": 73.30891, "aux.loss_seg": 0.10828, "aux.acc_seg": 72.01438, "loss": 0.32713, "time": 0.30161} -{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.22213, "decode.acc_seg": 73.28463, "aux.loss_seg": 0.1097, "aux.acc_seg": 71.87451, "loss": 0.33183, "time": 0.3017} -{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.2276, "decode.acc_seg": 73.64178, "aux.loss_seg": 0.1147, "aux.acc_seg": 72.06469, "loss": 0.3423, "time": 0.30267} -{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.21536, "decode.acc_seg": 72.87548, "aux.loss_seg": 0.10749, "aux.acc_seg": 71.54305, "loss": 0.32285, "time": 0.30172} -{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.22727, "decode.acc_seg": 73.71943, "aux.loss_seg": 0.11177, "aux.acc_seg": 72.34212, "loss": 0.33904, "time": 0.30161} -{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.22619, "decode.acc_seg": 74.34636, "aux.loss_seg": 0.11034, "aux.acc_seg": 72.97288, "loss": 0.33653, "time": 0.3003} -{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.22173, "decode.acc_seg": 72.53254, "aux.loss_seg": 0.11199, "aux.acc_seg": 70.98655, "loss": 0.33372, "time": 0.30225} -{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.22977, "decode.acc_seg": 73.38681, "aux.loss_seg": 0.11051, "aux.acc_seg": 72.20853, "loss": 0.34028, "time": 0.3017} -{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 36160, "data_time": 0.16208, "decode.loss_seg": 0.21671, "decode.acc_seg": 74.49149, "aux.loss_seg": 0.10829, "aux.acc_seg": 73.04302, "loss": 0.325, "time": 0.47003} -{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.21344, "decode.acc_seg": 73.42749, "aux.loss_seg": 0.1066, "aux.acc_seg": 72.04486, "loss": 0.32005, "time": 0.29942} -{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.2088, "decode.acc_seg": 76.02059, "aux.loss_seg": 0.10426, "aux.acc_seg": 74.67459, "loss": 0.31307, "time": 0.29924} -{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.2077, "decode.acc_seg": 74.34562, "aux.loss_seg": 0.10462, "aux.acc_seg": 72.94662, "loss": 0.31232, "time": 0.29886} -{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.23585, "decode.acc_seg": 72.77846, "aux.loss_seg": 0.11716, "aux.acc_seg": 71.35498, "loss": 0.35301, "time": 0.29906} -{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.23633, "decode.acc_seg": 71.93121, "aux.loss_seg": 0.11605, "aux.acc_seg": 70.62235, "loss": 0.35238, "time": 0.29976} -{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.22874, "decode.acc_seg": 73.2277, "aux.loss_seg": 0.1126, "aux.acc_seg": 71.91555, "loss": 0.34134, "time": 0.30152} -{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.2121, "decode.acc_seg": 74.0292, "aux.loss_seg": 0.1067, "aux.acc_seg": 72.5138, "loss": 0.3188, "time": 0.30133} -{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.22364, "decode.acc_seg": 73.72361, "aux.loss_seg": 0.11038, "aux.acc_seg": 72.31509, "loss": 0.33402, "time": 0.2997} -{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.80718, "aux.loss_seg": 0.10792, "aux.acc_seg": 72.3399, "loss": 0.32385, "time": 0.30095} -{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.22634, "decode.acc_seg": 74.06113, "aux.loss_seg": 0.11267, "aux.acc_seg": 72.68242, "loss": 0.33901, "time": 0.30101} -{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.22055, "decode.acc_seg": 72.96476, "aux.loss_seg": 0.10926, "aux.acc_seg": 71.65782, "loss": 0.32981, "time": 0.30068} -{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.22726, "decode.acc_seg": 73.76866, "aux.loss_seg": 0.11043, "aux.acc_seg": 72.59529, "loss": 0.33769, "time": 0.30078} -{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.21945, "decode.acc_seg": 73.08977, "aux.loss_seg": 0.10867, "aux.acc_seg": 71.70595, "loss": 0.32811, "time": 0.30134} -{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.23146, "decode.acc_seg": 74.37225, "aux.loss_seg": 0.115, "aux.acc_seg": 72.98864, "loss": 0.34646, "time": 0.30006} -{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.23084, "decode.acc_seg": 74.18089, "aux.loss_seg": 0.1125, "aux.acc_seg": 72.91358, "loss": 0.34334, "time": 0.29991} -{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.21309, "decode.acc_seg": 74.95064, "aux.loss_seg": 0.10667, "aux.acc_seg": 73.58944, "loss": 0.31976, "time": 0.30066} -{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.20643, "decode.acc_seg": 72.90922, "aux.loss_seg": 0.10241, "aux.acc_seg": 71.65873, "loss": 0.30884, "time": 0.30103} -{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.21412, "decode.acc_seg": 74.18816, "aux.loss_seg": 0.10617, "aux.acc_seg": 72.95315, "loss": 0.32028, "time": 0.30204} -{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.24245, "decode.acc_seg": 73.27462, "aux.loss_seg": 0.11765, "aux.acc_seg": 71.79322, "loss": 0.36009, "time": 0.30137} -{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.22679, "decode.acc_seg": 73.63611, "aux.loss_seg": 0.11306, "aux.acc_seg": 72.17071, "loss": 0.33985, "time": 0.30138} -{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.20621, "decode.acc_seg": 73.95978, "aux.loss_seg": 0.10304, "aux.acc_seg": 72.5115, "loss": 0.30925, "time": 0.30186} -{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.23266, "decode.acc_seg": 73.01637, "aux.loss_seg": 0.1149, "aux.acc_seg": 71.66496, "loss": 0.34756, "time": 0.30175} -{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.21779, "decode.acc_seg": 73.36185, "aux.loss_seg": 0.10658, "aux.acc_seg": 72.10836, "loss": 0.32437, "time": 0.30144} -{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.21539, "decode.acc_seg": 73.1963, "aux.loss_seg": 0.10698, "aux.acc_seg": 71.79521, "loss": 0.32236, "time": 0.30119} -{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 36160, "data_time": 0.17744, "decode.loss_seg": 0.2072, "decode.acc_seg": 75.51674, "aux.loss_seg": 0.10241, "aux.acc_seg": 74.25322, "loss": 0.30961, "time": 0.47301} -{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.2221, "decode.acc_seg": 74.45515, "aux.loss_seg": 0.11054, "aux.acc_seg": 73.04601, "loss": 0.33263, "time": 0.29932} -{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.22409, "decode.acc_seg": 73.21058, "aux.loss_seg": 0.11342, "aux.acc_seg": 71.71675, "loss": 0.33751, "time": 0.29901} -{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.2182, "decode.acc_seg": 73.86982, "aux.loss_seg": 0.10678, "aux.acc_seg": 72.61009, "loss": 0.32498, "time": 0.29987} -{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.21995, "decode.acc_seg": 73.32343, "aux.loss_seg": 0.10883, "aux.acc_seg": 71.84625, "loss": 0.32879, "time": 0.30056} -{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.21785, "decode.acc_seg": 73.45563, "aux.loss_seg": 0.10991, "aux.acc_seg": 71.89451, "loss": 0.32776, "time": 0.30014} -{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.22381, "decode.acc_seg": 73.96289, "aux.loss_seg": 0.11032, "aux.acc_seg": 72.58228, "loss": 0.33414, "time": 0.30029} -{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.22247, "decode.acc_seg": 73.98779, "aux.loss_seg": 0.1117, "aux.acc_seg": 72.52556, "loss": 0.33417, "time": 0.3018} -{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.21882, "decode.acc_seg": 73.125, "aux.loss_seg": 0.1081, "aux.acc_seg": 71.83591, "loss": 0.32692, "time": 0.30086} -{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.21725, "decode.acc_seg": 72.73616, "aux.loss_seg": 0.10913, "aux.acc_seg": 71.31979, "loss": 0.32638, "time": 0.30172} -{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.22319, "decode.acc_seg": 75.31161, "aux.loss_seg": 0.10934, "aux.acc_seg": 73.98505, "loss": 0.33253, "time": 0.30156} -{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.21625, "decode.acc_seg": 72.66505, "aux.loss_seg": 0.10658, "aux.acc_seg": 71.34692, "loss": 0.32283, "time": 0.3005} -{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.21511, "decode.acc_seg": 73.97704, "aux.loss_seg": 0.10751, "aux.acc_seg": 72.56171, "loss": 0.32262, "time": 0.30339} -{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.21951, "decode.acc_seg": 73.69205, "aux.loss_seg": 0.1089, "aux.acc_seg": 72.26615, "loss": 0.3284, "time": 0.30137} -{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 36160, "data_time": 0.00676, "decode.loss_seg": 0.22335, "decode.acc_seg": 74.85933, "aux.loss_seg": 0.10976, "aux.acc_seg": 73.39688, "loss": 0.33311, "time": 0.30136} -{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 36160, "data_time": 0.00655, "decode.loss_seg": 0.20167, "decode.acc_seg": 75.13963, "aux.loss_seg": 0.10194, "aux.acc_seg": 73.80431, "loss": 0.30361, "time": 0.30127} -{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.20712, "decode.acc_seg": 74.1463, "aux.loss_seg": 0.10395, "aux.acc_seg": 72.72002, "loss": 0.31107, "time": 0.30119} -{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.20516, "decode.acc_seg": 73.78197, "aux.loss_seg": 0.10217, "aux.acc_seg": 72.37841, "loss": 0.30733, "time": 0.30225} -{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.21899, "decode.acc_seg": 74.61881, "aux.loss_seg": 0.10921, "aux.acc_seg": 73.27783, "loss": 0.3282, "time": 0.30328} -{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.21279, "decode.acc_seg": 73.97444, "aux.loss_seg": 0.10686, "aux.acc_seg": 72.56542, "loss": 0.31965, "time": 0.30283} -{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.33609, "aux.loss_seg": 0.10845, "aux.acc_seg": 71.88125, "loss": 0.32438, "time": 0.30202} -{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.21225, "decode.acc_seg": 74.3638, "aux.loss_seg": 0.10742, "aux.acc_seg": 72.96326, "loss": 0.31967, "time": 0.30084} -{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.2124, "decode.acc_seg": 72.74292, "aux.loss_seg": 0.10709, "aux.acc_seg": 71.21101, "loss": 0.31949, "time": 0.301} -{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.21195, "decode.acc_seg": 73.23124, "aux.loss_seg": 0.10689, "aux.acc_seg": 71.70517, "loss": 0.31885, "time": 0.30203} -{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.21422, "decode.acc_seg": 72.91856, "aux.loss_seg": 0.1057, "aux.acc_seg": 71.68107, "loss": 0.31992, "time": 0.30124} -{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 36160, "data_time": 0.17496, "decode.loss_seg": 0.21354, "decode.acc_seg": 72.95835, "aux.loss_seg": 0.10677, "aux.acc_seg": 71.59336, "loss": 0.32031, "time": 0.47085} -{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.21423, "decode.acc_seg": 72.97618, "aux.loss_seg": 0.10507, "aux.acc_seg": 71.74544, "loss": 0.3193, "time": 0.30082} -{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.23987, "decode.acc_seg": 73.95586, "aux.loss_seg": 0.11557, "aux.acc_seg": 72.68463, "loss": 0.35544, "time": 0.30058} -{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.22997, "decode.acc_seg": 74.60608, "aux.loss_seg": 0.116, "aux.acc_seg": 72.99176, "loss": 0.34597, "time": 0.30152} -{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.21259, "decode.acc_seg": 74.13326, "aux.loss_seg": 0.10634, "aux.acc_seg": 72.79711, "loss": 0.31893, "time": 0.30171} -{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.2103, "decode.acc_seg": 74.80927, "aux.loss_seg": 0.10843, "aux.acc_seg": 73.17038, "loss": 0.31874, "time": 0.29954} -{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.21195, "decode.acc_seg": 73.543, "aux.loss_seg": 0.10554, "aux.acc_seg": 72.10681, "loss": 0.31749, "time": 0.30061} -{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.21596, "decode.acc_seg": 74.4885, "aux.loss_seg": 0.10805, "aux.acc_seg": 73.12603, "loss": 0.32401, "time": 0.30057} -{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.20341, "decode.acc_seg": 73.64363, "aux.loss_seg": 0.10056, "aux.acc_seg": 72.42799, "loss": 0.30397, "time": 0.30104} -{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20433, "decode.acc_seg": 74.89011, "aux.loss_seg": 0.10337, "aux.acc_seg": 73.44114, "loss": 0.3077, "time": 0.30099} -{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20876, "decode.acc_seg": 75.00667, "aux.loss_seg": 0.10449, "aux.acc_seg": 73.71159, "loss": 0.31325, "time": 0.30045} -{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.21332, "decode.acc_seg": 74.56436, "aux.loss_seg": 0.10592, "aux.acc_seg": 73.32706, "loss": 0.31924, "time": 0.30006} -{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.20075, "decode.acc_seg": 72.48014, "aux.loss_seg": 0.10115, "aux.acc_seg": 71.10299, "loss": 0.3019, "time": 0.302} -{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.21399, "decode.acc_seg": 73.65103, "aux.loss_seg": 0.10755, "aux.acc_seg": 72.22981, "loss": 0.32154, "time": 0.30172} -{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.20627, "decode.acc_seg": 73.02409, "aux.loss_seg": 0.10342, "aux.acc_seg": 71.69914, "loss": 0.30968, "time": 0.30219} -{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.22542, "decode.acc_seg": 74.87546, "aux.loss_seg": 0.11183, "aux.acc_seg": 73.50969, "loss": 0.33726, "time": 0.30217} -{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.2114, "decode.acc_seg": 75.08534, "aux.loss_seg": 0.10436, "aux.acc_seg": 73.84908, "loss": 0.31576, "time": 0.30084} -{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.22457, "decode.acc_seg": 72.604, "aux.loss_seg": 0.10975, "aux.acc_seg": 71.40343, "loss": 0.33431, "time": 0.30249} -{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.19987, "decode.acc_seg": 74.12682, "aux.loss_seg": 0.09965, "aux.acc_seg": 72.86824, "loss": 0.29952, "time": 0.30078} -{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.2054, "decode.acc_seg": 72.83442, "aux.loss_seg": 0.10228, "aux.acc_seg": 71.56945, "loss": 0.30768, "time": 0.30023} -{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.23043, "decode.acc_seg": 73.15404, "aux.loss_seg": 0.11579, "aux.acc_seg": 71.74136, "loss": 0.34622, "time": 0.30009} -{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.20291, "decode.acc_seg": 72.86912, "aux.loss_seg": 0.10137, "aux.acc_seg": 71.58523, "loss": 0.30427, "time": 0.30226} -{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.21188, "decode.acc_seg": 74.45178, "aux.loss_seg": 0.10648, "aux.acc_seg": 73.15542, "loss": 0.31836, "time": 0.30082} -{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.21522, "decode.acc_seg": 71.77742, "aux.loss_seg": 0.10761, "aux.acc_seg": 70.31467, "loss": 0.32283, "time": 0.30222} -{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.21232, "decode.acc_seg": 72.67623, "aux.loss_seg": 0.10475, "aux.acc_seg": 71.3807, "loss": 0.31708, "time": 0.30198} -{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.20898, "decode.acc_seg": 73.55729, "aux.loss_seg": 0.10457, "aux.acc_seg": 72.24924, "loss": 0.31354, "time": 0.30121} -{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 36160, "data_time": 0.15361, "decode.loss_seg": 0.20422, "decode.acc_seg": 75.09478, "aux.loss_seg": 0.10162, "aux.acc_seg": 73.83794, "loss": 0.30584, "time": 0.47519} -{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.21541, "decode.acc_seg": 73.32217, "aux.loss_seg": 0.10636, "aux.acc_seg": 72.02429, "loss": 0.32177, "time": 0.29948} -{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.21701, "decode.acc_seg": 73.018, "aux.loss_seg": 0.10612, "aux.acc_seg": 71.7596, "loss": 0.32313, "time": 0.29914} -{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.2049, "decode.acc_seg": 74.12325, "aux.loss_seg": 0.10192, "aux.acc_seg": 72.84937, "loss": 0.30682, "time": 0.2997} -{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.21065, "decode.acc_seg": 74.74591, "aux.loss_seg": 0.10342, "aux.acc_seg": 73.48958, "loss": 0.31407, "time": 0.29915} -{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.1997, "decode.acc_seg": 75.22992, "aux.loss_seg": 0.10123, "aux.acc_seg": 73.8044, "loss": 0.30093, "time": 0.29918} -{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.21328, "decode.acc_seg": 73.97386, "aux.loss_seg": 0.1047, "aux.acc_seg": 72.70727, "loss": 0.31798, "time": 0.30308} -{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.21219, "decode.acc_seg": 73.82519, "aux.loss_seg": 0.10652, "aux.acc_seg": 72.40998, "loss": 0.31871, "time": 0.30712} -{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.21104, "decode.acc_seg": 73.96896, "aux.loss_seg": 0.10691, "aux.acc_seg": 72.48515, "loss": 0.31795, "time": 0.30195} -{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20516, "decode.acc_seg": 74.36126, "aux.loss_seg": 0.10205, "aux.acc_seg": 72.99744, "loss": 0.30721, "time": 0.3008} -{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.22021, "decode.acc_seg": 73.89304, "aux.loss_seg": 0.11067, "aux.acc_seg": 72.4543, "loss": 0.33088, "time": 0.29968} -{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.22037, "decode.acc_seg": 72.39573, "aux.loss_seg": 0.10833, "aux.acc_seg": 71.04626, "loss": 0.3287, "time": 0.29961} -{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.21683, "decode.acc_seg": 72.56409, "aux.loss_seg": 0.10645, "aux.acc_seg": 71.19065, "loss": 0.32328, "time": 0.30059} -{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.22391, "decode.acc_seg": 74.33617, "aux.loss_seg": 0.11029, "aux.acc_seg": 73.08138, "loss": 0.3342, "time": 0.30276} -{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.21579, "decode.acc_seg": 74.48644, "aux.loss_seg": 0.10813, "aux.acc_seg": 73.10562, "loss": 0.32392, "time": 0.30085} -{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.22398, "decode.acc_seg": 73.00739, "aux.loss_seg": 0.11035, "aux.acc_seg": 71.64436, "loss": 0.33433, "time": 0.30175} -{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.21895, "decode.acc_seg": 74.34667, "aux.loss_seg": 0.10778, "aux.acc_seg": 73.14034, "loss": 0.32673, "time": 0.30038} -{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.21411, "decode.acc_seg": 73.76757, "aux.loss_seg": 0.10607, "aux.acc_seg": 72.43853, "loss": 0.32018, "time": 0.30226} -{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.21316, "decode.acc_seg": 72.49812, "aux.loss_seg": 0.10508, "aux.acc_seg": 71.30204, "loss": 0.31824, "time": 0.30286} -{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.21139, "decode.acc_seg": 72.39964, "aux.loss_seg": 0.10702, "aux.acc_seg": 70.92993, "loss": 0.3184, "time": 0.3036} -{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.20342, "decode.acc_seg": 72.46277, "aux.loss_seg": 0.10259, "aux.acc_seg": 71.05339, "loss": 0.30601, "time": 0.30278} -{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.21639, "decode.acc_seg": 72.54643, "aux.loss_seg": 0.1074, "aux.acc_seg": 71.31329, "loss": 0.32379, "time": 0.30129} -{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.21471, "decode.acc_seg": 74.65517, "aux.loss_seg": 0.10681, "aux.acc_seg": 73.35105, "loss": 0.32152, "time": 0.30379} -{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.22101, "decode.acc_seg": 73.41343, "aux.loss_seg": 0.10896, "aux.acc_seg": 72.07038, "loss": 0.32997, "time": 0.30309} -{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.20626, "decode.acc_seg": 73.93715, "aux.loss_seg": 0.10237, "aux.acc_seg": 72.63705, "loss": 0.30864, "time": 0.30553} -{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 36160, "data_time": 0.16727, "decode.loss_seg": 0.21203, "decode.acc_seg": 73.89411, "aux.loss_seg": 0.10588, "aux.acc_seg": 72.48399, "loss": 0.31791, "time": 0.4631} -{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.21081, "decode.acc_seg": 73.57422, "aux.loss_seg": 0.10528, "aux.acc_seg": 72.209, "loss": 0.31609, "time": 0.30027} -{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.20433, "decode.acc_seg": 74.05495, "aux.loss_seg": 0.10369, "aux.acc_seg": 72.60586, "loss": 0.30802, "time": 0.2994} -{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19934, "decode.acc_seg": 74.70257, "aux.loss_seg": 0.0984, "aux.acc_seg": 73.49297, "loss": 0.29774, "time": 0.30081} -{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.21008, "decode.acc_seg": 73.1161, "aux.loss_seg": 0.10597, "aux.acc_seg": 71.69861, "loss": 0.31606, "time": 0.30034} -{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.21808, "decode.acc_seg": 74.66597, "aux.loss_seg": 0.1078, "aux.acc_seg": 73.40216, "loss": 0.32588, "time": 0.29993} -{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.20595, "decode.acc_seg": 73.62278, "aux.loss_seg": 0.1026, "aux.acc_seg": 72.29567, "loss": 0.30855, "time": 0.29987} -{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.21548, "decode.acc_seg": 74.32011, "aux.loss_seg": 0.10613, "aux.acc_seg": 73.00688, "loss": 0.32161, "time": 0.30269} -{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4674, "mAcc": 0.5903, "aAcc": 0.8186, "IoU.wall": 0.7543, "IoU.building": 0.8158, "IoU.sky": 0.9377, "IoU.floor": 0.8047, "IoU.tree": 0.7309, "IoU.ceiling": 0.8259, "IoU.road": 0.814, "IoU.bed ": 0.8654, "IoU.windowpane": 0.6065, "IoU.grass": 0.6594, "IoU.cabinet": 0.5999, "IoU.sidewalk": 0.6504, "IoU.person": 0.7791, "IoU.earth": 0.3607, "IoU.door": 0.4759, "IoU.table": 0.5793, "IoU.mountain": 0.5699, "IoU.plant": 0.4916, "IoU.curtain": 0.691, "IoU.chair": 0.5632, "IoU.car": 0.8312, "IoU.water": 0.5054, "IoU.painting": 0.7001, "IoU.sofa": 0.6009, "IoU.shelf": 0.3942, "IoU.house": 0.4888, "IoU.sea": 0.5141, "IoU.mirror": 0.6366, "IoU.rug": 0.63, "IoU.field": 0.257, "IoU.armchair": 0.4223, "IoU.seat": 0.5819, "IoU.fence": 0.4288, "IoU.desk": 0.4758, "IoU.rock": 0.3536, "IoU.wardrobe": 0.5127, "IoU.lamp": 0.5888, "IoU.bathtub": 0.7294, "IoU.railing": 0.3375, "IoU.cushion": 0.5539, "IoU.base": 0.334, "IoU.box": 0.252, "IoU.column": 0.4172, "IoU.signboard": 0.3632, "IoU.chest of drawers": 0.3495, "IoU.counter": 0.25, "IoU.sand": 0.4329, "IoU.sink": 0.6922, "IoU.skyscraper": 0.6661, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7497, "IoU.grandstand": 0.3782, "IoU.path": 0.2153, "IoU.stairs": 0.2696, "IoU.runway": 0.6831, "IoU.case": 0.5017, "IoU.pool table": 0.9129, "IoU.pillow": 0.5219, "IoU.screen door": 0.5856, "IoU.stairway": 0.2672, "IoU.river": 0.1324, "IoU.bridge": 0.6537, "IoU.bookcase": 0.3972, "IoU.blind": NaN, "IoU.coffee table": 0.5614, "IoU.toilet": 0.8157, "IoU.flower": 0.451, "IoU.book": 0.4239, "IoU.hill": 0.1452, "IoU.bench": 0.3803, "IoU.countertop": 0.4998, "IoU.stove": 0.7222, "IoU.palm": 0.4723, "IoU.kitchen island": 0.3878, "IoU.computer": 0.6293, "IoU.swivel chair": 0.4407, "IoU.boat": 0.4959, "IoU.bar": 0.3665, "IoU.arcade machine": 0.437, "IoU.hovel": 0.3373, "IoU.bus": 0.8683, "IoU.towel": 0.6244, "IoU.light": 0.54, "IoU.truck": 0.1913, "IoU.tower": 0.2124, "IoU.chandelier": 0.6256, "IoU.awning": 0.2876, "IoU.streetlight": 0.2173, "IoU.booth": 0.5978, "IoU.television receiver": NaN, "IoU.airplane": 0.6185, "IoU.dirt track": 0.0, "IoU.apparel": 0.3351, "IoU.pole": 0.1587, "IoU.land": 0.0294, "IoU.bannister": 0.1084, "IoU.escalator": 0.3337, "IoU.ottoman": 0.4051, "IoU.bottle": NaN, "IoU.buffet": 0.4547, "IoU.poster": 0.2662, "IoU.stage": 0.1712, "IoU.van": 0.4058, "IoU.ship": 0.624, "IoU.fountain": 0.2059, "IoU.conveyer belt": 0.8338, "IoU.canopy": 0.2201, "IoU.washer": 0.7486, "IoU.plaything": 0.2159, "IoU.swimming pool": 0.7174, "IoU.stool": 0.3527, "IoU.barrel": 0.4331, "IoU.basket": 0.2729, "IoU.waterfall": 0.5693, "IoU.tent": 0.9306, "IoU.bag": 0.1004, "IoU.minibike": 0.7001, "IoU.cradle": NaN, "IoU.oven": 0.2427, "IoU.ball": 0.2982, "IoU.food": 0.2861, "IoU.step": 0.0947, "IoU.tank": 0.5945, "IoU.trade name": 0.2314, "IoU.microwave": 0.4426, "IoU.pot": 0.4793, "IoU.animal": NaN, "IoU.bicycle": 0.5317, "IoU.lake": 0.3986, "IoU.dishwasher": 0.4616, "IoU.screen": 0.6565, "IoU.blanket": 0.0885, "IoU.sculpture": 0.5513, "IoU.hood": 0.6108, "IoU.sconce": 0.4209, "IoU.vase": 0.3139, "IoU.traffic light": 0.2801, "IoU.tray": 0.0339, "IoU.ashcan": 0.3244, "IoU.fan": 0.6102, "IoU.pier": 0.407, "IoU.crt screen": 0.0025, "IoU.plate": 0.578, "IoU.monitor": 0.1168, "IoU.bulletin board": 0.5367, "IoU.shower": 0.0031, "IoU.radiator": 0.6158, "IoU.glass": 0.1307, "IoU.clock": 0.3981, "IoU.flag": 0.4778, "Acc.wall": 0.8702, "Acc.building": 0.9198, "Acc.sky": 0.9662, "Acc.floor": 0.8945, "Acc.tree": 0.8824, "Acc.ceiling": 0.9027, "Acc.road": 0.8879, "Acc.bed ": 0.9449, "Acc.windowpane": 0.7849, "Acc.grass": 0.7611, "Acc.cabinet": 0.7316, "Acc.sidewalk": 0.8087, "Acc.person": 0.9044, "Acc.earth": 0.4943, "Acc.door": 0.6055, "Acc.table": 0.7898, "Acc.mountain": 0.7226, "Acc.plant": 0.5889, "Acc.curtain": 0.8193, "Acc.chair": 0.7336, "Acc.car": 0.9056, "Acc.water": 0.6362, "Acc.painting": 0.8713, "Acc.sofa": 0.7606, "Acc.shelf": 0.5291, "Acc.house": 0.6275, "Acc.sea": 0.8055, "Acc.mirror": 0.7107, "Acc.rug": 0.7523, "Acc.field": 0.5944, "Acc.armchair": 0.5899, "Acc.seat": 0.8384, "Acc.fence": 0.5832, "Acc.desk": 0.6832, "Acc.rock": 0.5716, "Acc.wardrobe": 0.5867, "Acc.lamp": 0.7469, "Acc.bathtub": 0.8229, "Acc.railing": 0.4437, "Acc.cushion": 0.6648, "Acc.base": 0.4565, "Acc.box": 0.312, "Acc.column": 0.5166, "Acc.signboard": 0.4946, "Acc.chest of drawers": 0.5658, "Acc.counter": 0.3103, "Acc.sand": 0.7356, "Acc.sink": 0.7674, "Acc.skyscraper": 0.8645, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8374, "Acc.grandstand": 0.6777, "Acc.path": 0.3148, "Acc.stairs": 0.376, "Acc.runway": 0.7995, "Acc.case": 0.8218, "Acc.pool table": 0.9616, "Acc.pillow": 0.6178, "Acc.screen door": 0.6821, "Acc.stairway": 0.399, "Acc.river": 0.2111, "Acc.bridge": 0.7113, "Acc.bookcase": 0.513, "Acc.blind": NaN, "Acc.coffee table": 0.7899, "Acc.toilet": 0.89, "Acc.flower": 0.6585, "Acc.book": 0.6369, "Acc.hill": 0.2114, "Acc.bench": 0.4485, "Acc.countertop": 0.667, "Acc.stove": 0.8368, "Acc.palm": 0.7831, "Acc.kitchen island": 0.718, "Acc.computer": 0.7468, "Acc.swivel chair": 0.6525, "Acc.boat": 0.602, "Acc.bar": 0.4981, "Acc.arcade machine": 0.4793, "Acc.hovel": 0.386, "Acc.bus": 0.9556, "Acc.towel": 0.7899, "Acc.light": 0.6394, "Acc.truck": 0.2795, "Acc.tower": 0.3249, "Acc.chandelier": 0.7518, "Acc.awning": 0.3352, "Acc.streetlight": 0.2867, "Acc.booth": 0.6734, "Acc.television receiver": NaN, "Acc.airplane": 0.7116, "Acc.dirt track": 0.0, "Acc.apparel": 0.5119, "Acc.pole": 0.213, "Acc.land": 0.0479, "Acc.bannister": 0.1733, "Acc.escalator": 0.3638, "Acc.ottoman": 0.5694, "Acc.bottle": NaN, "Acc.buffet": 0.5429, "Acc.poster": 0.3185, "Acc.stage": 0.2629, "Acc.van": 0.5399, "Acc.ship": 0.9342, "Acc.fountain": 0.2128, "Acc.conveyer belt": 0.8943, "Acc.canopy": 0.2922, "Acc.washer": 0.7862, "Acc.plaything": 0.3771, "Acc.swimming pool": 0.872, "Acc.stool": 0.5388, "Acc.barrel": 0.6456, "Acc.basket": 0.3596, "Acc.waterfall": 0.775, "Acc.tent": 0.9807, "Acc.bag": 0.1158, "Acc.minibike": 0.8838, "Acc.cradle": NaN, "Acc.oven": 0.6675, "Acc.ball": 0.3116, "Acc.food": 0.3326, "Acc.step": 0.1094, "Acc.tank": 0.6424, "Acc.trade name": 0.2577, "Acc.microwave": 0.4827, "Acc.pot": 0.5362, "Acc.animal": NaN, "Acc.bicycle": 0.7724, "Acc.lake": 0.5888, "Acc.dishwasher": 0.5378, "Acc.screen": 0.9042, "Acc.blanket": 0.1076, "Acc.sculpture": 0.8335, "Acc.hood": 0.6611, "Acc.sconce": 0.4989, "Acc.vase": 0.5203, "Acc.traffic light": 0.4094, "Acc.tray": 0.0437, "Acc.ashcan": 0.4049, "Acc.fan": 0.7515, "Acc.pier": 0.6238, "Acc.crt screen": 0.0078, "Acc.plate": 0.7325, "Acc.monitor": 0.1268, "Acc.bulletin board": 0.6356, "Acc.shower": 0.004, "Acc.radiator": 0.6935, "Acc.glass": 0.139, "Acc.clock": 0.4658, "Acc.flag": 0.5466} -{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 36160, "data_time": 1.4399, "decode.loss_seg": 0.21043, "decode.acc_seg": 73.80605, "aux.loss_seg": 0.10326, "aux.acc_seg": 72.68742, "loss": 0.31369, "time": 1.73772} -{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.20855, "decode.acc_seg": 72.3588, "aux.loss_seg": 0.10282, "aux.acc_seg": 71.17775, "loss": 0.31136, "time": 0.30744} -{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.20549, "decode.acc_seg": 73.21597, "aux.loss_seg": 0.1016, "aux.acc_seg": 71.89807, "loss": 0.30709, "time": 0.30376} -{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.20493, "decode.acc_seg": 73.10793, "aux.loss_seg": 0.10279, "aux.acc_seg": 71.70924, "loss": 0.30773, "time": 0.30442} -{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.21123, "decode.acc_seg": 74.76586, "aux.loss_seg": 0.1046, "aux.acc_seg": 73.43483, "loss": 0.31583, "time": 0.30199} -{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.21289, "decode.acc_seg": 73.35346, "aux.loss_seg": 0.10509, "aux.acc_seg": 72.07056, "loss": 0.31798, "time": 0.30103} -{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20889, "decode.acc_seg": 73.69455, "aux.loss_seg": 0.10455, "aux.acc_seg": 72.39909, "loss": 0.31344, "time": 0.30152} -{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.21905, "decode.acc_seg": 74.25788, "aux.loss_seg": 0.10716, "aux.acc_seg": 73.00624, "loss": 0.32621, "time": 0.30249} -{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.21524, "decode.acc_seg": 74.4047, "aux.loss_seg": 0.108, "aux.acc_seg": 72.95496, "loss": 0.32324, "time": 0.30206} -{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.20784, "decode.acc_seg": 73.61934, "aux.loss_seg": 0.10446, "aux.acc_seg": 72.2192, "loss": 0.3123, "time": 0.29853} -{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.20434, "decode.acc_seg": 72.57731, "aux.loss_seg": 0.1013, "aux.acc_seg": 71.29638, "loss": 0.30564, "time": 0.29845} -{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.216, "decode.acc_seg": 74.12813, "aux.loss_seg": 0.10592, "aux.acc_seg": 72.75508, "loss": 0.32192, "time": 0.30101} -{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.21407, "decode.acc_seg": 73.11066, "aux.loss_seg": 0.10608, "aux.acc_seg": 71.7822, "loss": 0.32015, "time": 0.30155} -{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20704, "decode.acc_seg": 73.91797, "aux.loss_seg": 0.10332, "aux.acc_seg": 72.56535, "loss": 0.31036, "time": 0.30124} -{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.21318, "decode.acc_seg": 74.43156, "aux.loss_seg": 0.1059, "aux.acc_seg": 72.99618, "loss": 0.31908, "time": 0.30136} -{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.21638, "decode.acc_seg": 72.10727, "aux.loss_seg": 0.10746, "aux.acc_seg": 70.85715, "loss": 0.32383, "time": 0.30149} -{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 36160, "data_time": 0.14933, "decode.loss_seg": 0.2297, "decode.acc_seg": 75.08335, "aux.loss_seg": 0.11357, "aux.acc_seg": 73.73523, "loss": 0.34328, "time": 0.47105} -{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.20001, "decode.acc_seg": 73.47089, "aux.loss_seg": 0.09981, "aux.acc_seg": 72.22965, "loss": 0.29982, "time": 0.30015} -{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.20836, "decode.acc_seg": 75.18362, "aux.loss_seg": 0.10253, "aux.acc_seg": 73.91575, "loss": 0.31088, "time": 0.29921} -{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.2006, "decode.acc_seg": 73.58829, "aux.loss_seg": 0.10025, "aux.acc_seg": 72.35402, "loss": 0.30085, "time": 0.29947} -{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.20897, "decode.acc_seg": 74.25315, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.71343, "loss": 0.31486, "time": 0.30077} -{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.19428, "decode.acc_seg": 73.2702, "aux.loss_seg": 0.09676, "aux.acc_seg": 72.01059, "loss": 0.29104, "time": 0.30168} -{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.20657, "decode.acc_seg": 74.70406, "aux.loss_seg": 0.10276, "aux.acc_seg": 73.34544, "loss": 0.30933, "time": 0.30298} -{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.20467, "decode.acc_seg": 75.17992, "aux.loss_seg": 0.10379, "aux.acc_seg": 73.66575, "loss": 0.30845, "time": 0.30264} -{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.20305, "decode.acc_seg": 74.39679, "aux.loss_seg": 0.10075, "aux.acc_seg": 73.19117, "loss": 0.30381, "time": 0.30354} -{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.21134, "decode.acc_seg": 72.9144, "aux.loss_seg": 0.10434, "aux.acc_seg": 71.61542, "loss": 0.31568, "time": 0.30255} -{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.21225, "decode.acc_seg": 73.23773, "aux.loss_seg": 0.10635, "aux.acc_seg": 71.80078, "loss": 0.3186, "time": 0.30199} -{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.2086, "decode.acc_seg": 72.85611, "aux.loss_seg": 0.1036, "aux.acc_seg": 71.59243, "loss": 0.3122, "time": 0.30511} -{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.21502, "decode.acc_seg": 73.99538, "aux.loss_seg": 0.10622, "aux.acc_seg": 72.72132, "loss": 0.32123, "time": 0.30225} -{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.21295, "decode.acc_seg": 74.28719, "aux.loss_seg": 0.10747, "aux.acc_seg": 72.79159, "loss": 0.32042, "time": 0.30226} -{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.20837, "decode.acc_seg": 73.57491, "aux.loss_seg": 0.10328, "aux.acc_seg": 72.27395, "loss": 0.31164, "time": 0.30186} -{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.20828, "decode.acc_seg": 73.69327, "aux.loss_seg": 0.10485, "aux.acc_seg": 72.35206, "loss": 0.31312, "time": 0.30336} -{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.21927, "decode.acc_seg": 73.43362, "aux.loss_seg": 0.11024, "aux.acc_seg": 71.91748, "loss": 0.32951, "time": 0.30269} -{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.19763, "decode.acc_seg": 73.70374, "aux.loss_seg": 0.09985, "aux.acc_seg": 72.40748, "loss": 0.29748, "time": 0.30303} -{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.20533, "decode.acc_seg": 73.27156, "aux.loss_seg": 0.10421, "aux.acc_seg": 71.82989, "loss": 0.30954, "time": 0.30338} -{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.21405, "decode.acc_seg": 74.0763, "aux.loss_seg": 0.10735, "aux.acc_seg": 72.68395, "loss": 0.3214, "time": 0.30249} -{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.21808, "decode.acc_seg": 74.03063, "aux.loss_seg": 0.10769, "aux.acc_seg": 72.76987, "loss": 0.32577, "time": 0.30133} -{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20243, "decode.acc_seg": 74.31907, "aux.loss_seg": 0.10075, "aux.acc_seg": 73.00018, "loss": 0.30318, "time": 0.30215} -{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.21049, "decode.acc_seg": 75.16096, "aux.loss_seg": 0.10474, "aux.acc_seg": 73.79072, "loss": 0.31523, "time": 0.3008} -{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.19772, "decode.acc_seg": 73.3174, "aux.loss_seg": 0.09751, "aux.acc_seg": 72.09359, "loss": 0.29523, "time": 0.30321} -{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.22008, "decode.acc_seg": 72.60058, "aux.loss_seg": 0.1081, "aux.acc_seg": 71.28584, "loss": 0.32818, "time": 0.30223} -{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 36160, "data_time": 0.16332, "decode.loss_seg": 0.20505, "decode.acc_seg": 73.35635, "aux.loss_seg": 0.10316, "aux.acc_seg": 71.94696, "loss": 0.3082, "time": 0.47536} -{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.19767, "decode.acc_seg": 74.26095, "aux.loss_seg": 0.09965, "aux.acc_seg": 72.88122, "loss": 0.29732, "time": 0.30099} -{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.19575, "decode.acc_seg": 73.6097, "aux.loss_seg": 0.09874, "aux.acc_seg": 72.38204, "loss": 0.29448, "time": 0.29958} -{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20901, "decode.acc_seg": 73.59854, "aux.loss_seg": 0.10453, "aux.acc_seg": 72.23839, "loss": 0.31354, "time": 0.29967} -{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.19834, "decode.acc_seg": 74.22983, "aux.loss_seg": 0.10057, "aux.acc_seg": 72.81621, "loss": 0.29891, "time": 0.30062} -{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.2029, "decode.acc_seg": 73.13858, "aux.loss_seg": 0.10239, "aux.acc_seg": 71.74983, "loss": 0.30529, "time": 0.29945} -{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.19379, "decode.acc_seg": 73.73545, "aux.loss_seg": 0.09728, "aux.acc_seg": 72.46038, "loss": 0.29107, "time": 0.30059} -{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.20605, "decode.acc_seg": 73.93659, "aux.loss_seg": 0.10383, "aux.acc_seg": 72.58828, "loss": 0.30988, "time": 0.30107} -{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.2067, "decode.acc_seg": 73.75139, "aux.loss_seg": 0.10297, "aux.acc_seg": 72.47465, "loss": 0.30968, "time": 0.30049} -{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.19987, "decode.acc_seg": 73.81816, "aux.loss_seg": 0.09967, "aux.acc_seg": 72.54497, "loss": 0.29955, "time": 0.30215} -{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.20306, "decode.acc_seg": 75.46596, "aux.loss_seg": 0.10272, "aux.acc_seg": 74.0863, "loss": 0.30578, "time": 0.30113} -{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.21593, "decode.acc_seg": 73.8813, "aux.loss_seg": 0.10922, "aux.acc_seg": 72.50067, "loss": 0.32515, "time": 0.30094} -{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.19511, "decode.acc_seg": 72.71026, "aux.loss_seg": 0.09961, "aux.acc_seg": 71.28656, "loss": 0.29472, "time": 0.30043} -{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.21687, "decode.acc_seg": 73.77325, "aux.loss_seg": 0.10594, "aux.acc_seg": 72.44104, "loss": 0.32281, "time": 0.30025} -{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20813, "decode.acc_seg": 73.47958, "aux.loss_seg": 0.10524, "aux.acc_seg": 72.15291, "loss": 0.31336, "time": 0.30086} -{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.19656, "decode.acc_seg": 73.61074, "aux.loss_seg": 0.10005, "aux.acc_seg": 72.21472, "loss": 0.29661, "time": 0.30189} -{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.19792, "decode.acc_seg": 73.93071, "aux.loss_seg": 0.09735, "aux.acc_seg": 72.77337, "loss": 0.29527, "time": 0.30036} -{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.21064, "decode.acc_seg": 72.85565, "aux.loss_seg": 0.10321, "aux.acc_seg": 71.70598, "loss": 0.31385, "time": 0.30119} -{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.2181, "decode.acc_seg": 73.03358, "aux.loss_seg": 0.10681, "aux.acc_seg": 71.80941, "loss": 0.3249, "time": 0.30144} -{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.20406, "decode.acc_seg": 75.07719, "aux.loss_seg": 0.1044, "aux.acc_seg": 73.47606, "loss": 0.30846, "time": 0.30035} -{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.20626, "decode.acc_seg": 73.42494, "aux.loss_seg": 0.10421, "aux.acc_seg": 72.00636, "loss": 0.31047, "time": 0.30076} -{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.19972, "decode.acc_seg": 71.94198, "aux.loss_seg": 0.09968, "aux.acc_seg": 70.62942, "loss": 0.2994, "time": 0.30267} -{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.20246, "decode.acc_seg": 73.82619, "aux.loss_seg": 0.10116, "aux.acc_seg": 72.52518, "loss": 0.30362, "time": 0.30055} -{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.19924, "decode.acc_seg": 74.47357, "aux.loss_seg": 0.09972, "aux.acc_seg": 73.20513, "loss": 0.29896, "time": 0.30046} -{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.20701, "decode.acc_seg": 75.19409, "aux.loss_seg": 0.10292, "aux.acc_seg": 73.96609, "loss": 0.30993, "time": 0.30052} -{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.2071, "decode.acc_seg": 73.94765, "aux.loss_seg": 0.10421, "aux.acc_seg": 72.46656, "loss": 0.31131, "time": 0.30181} -{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 36160, "data_time": 0.15552, "decode.loss_seg": 0.20983, "decode.acc_seg": 74.21569, "aux.loss_seg": 0.10429, "aux.acc_seg": 72.82491, "loss": 0.31412, "time": 0.46512} -{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.20511, "decode.acc_seg": 73.7389, "aux.loss_seg": 0.10246, "aux.acc_seg": 72.41483, "loss": 0.30757, "time": 0.30074} -{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.20972, "decode.acc_seg": 75.04589, "aux.loss_seg": 0.1068, "aux.acc_seg": 73.55484, "loss": 0.31652, "time": 0.30073} -{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.20239, "decode.acc_seg": 73.88084, "aux.loss_seg": 0.10177, "aux.acc_seg": 72.489, "loss": 0.30416, "time": 0.30151} -{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.20659, "decode.acc_seg": 73.11349, "aux.loss_seg": 0.10183, "aux.acc_seg": 71.92193, "loss": 0.30842, "time": 0.30086} -{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.20309, "decode.acc_seg": 72.88047, "aux.loss_seg": 0.10139, "aux.acc_seg": 71.46986, "loss": 0.30448, "time": 0.30182} -{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.21204, "decode.acc_seg": 74.06188, "aux.loss_seg": 0.10674, "aux.acc_seg": 72.65598, "loss": 0.31878, "time": 0.3023} -{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.20383, "decode.acc_seg": 74.96574, "aux.loss_seg": 0.102, "aux.acc_seg": 73.60022, "loss": 0.30582, "time": 0.30132} -{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19596, "decode.acc_seg": 73.86883, "aux.loss_seg": 0.09718, "aux.acc_seg": 72.57228, "loss": 0.29313, "time": 0.30181} -{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.20717, "decode.acc_seg": 74.92432, "aux.loss_seg": 0.10278, "aux.acc_seg": 73.53455, "loss": 0.30995, "time": 0.30084} -{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.19873, "decode.acc_seg": 73.59478, "aux.loss_seg": 0.0968, "aux.acc_seg": 72.4929, "loss": 0.29552, "time": 0.30127} -{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.20671, "decode.acc_seg": 74.2374, "aux.loss_seg": 0.10167, "aux.acc_seg": 73.0251, "loss": 0.30839, "time": 0.30183} -{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20507, "decode.acc_seg": 73.28784, "aux.loss_seg": 0.10238, "aux.acc_seg": 71.92923, "loss": 0.30745, "time": 0.30054} -{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.2027, "decode.acc_seg": 74.04407, "aux.loss_seg": 0.1018, "aux.acc_seg": 72.67828, "loss": 0.3045, "time": 0.30039} -{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.1997, "decode.acc_seg": 74.8522, "aux.loss_seg": 0.10095, "aux.acc_seg": 73.45409, "loss": 0.30065, "time": 0.30077} -{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.20888, "decode.acc_seg": 74.46736, "aux.loss_seg": 0.10358, "aux.acc_seg": 73.19803, "loss": 0.31246, "time": 0.30003} -{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.2038, "decode.acc_seg": 73.29914, "aux.loss_seg": 0.10248, "aux.acc_seg": 71.85873, "loss": 0.30627, "time": 0.30103} -{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.19976, "decode.acc_seg": 73.92933, "aux.loss_seg": 0.10071, "aux.acc_seg": 72.55238, "loss": 0.30047, "time": 0.30098} -{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.20294, "decode.acc_seg": 73.2619, "aux.loss_seg": 0.10029, "aux.acc_seg": 72.06238, "loss": 0.30324, "time": 0.30023} -{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.21957, "decode.acc_seg": 74.74304, "aux.loss_seg": 0.10797, "aux.acc_seg": 73.4092, "loss": 0.32754, "time": 0.30232} -{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.20913, "decode.acc_seg": 74.50146, "aux.loss_seg": 0.1043, "aux.acc_seg": 73.17578, "loss": 0.31343, "time": 0.30106} -{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.22614, "decode.acc_seg": 72.68117, "aux.loss_seg": 0.11013, "aux.acc_seg": 71.39981, "loss": 0.33627, "time": 0.30149} -{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.21148, "decode.acc_seg": 73.17829, "aux.loss_seg": 0.10463, "aux.acc_seg": 71.78872, "loss": 0.31611, "time": 0.30156} -{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.2089, "decode.acc_seg": 72.96553, "aux.loss_seg": 0.10531, "aux.acc_seg": 71.55307, "loss": 0.31421, "time": 0.30259} -{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.21637, "decode.acc_seg": 73.96295, "aux.loss_seg": 0.10711, "aux.acc_seg": 72.67093, "loss": 0.32349, "time": 0.30113} -{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 36160, "data_time": 0.17554, "decode.loss_seg": 0.19771, "decode.acc_seg": 73.28016, "aux.loss_seg": 0.09931, "aux.acc_seg": 72.02047, "loss": 0.29702, "time": 0.47368} -{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.21216, "decode.acc_seg": 74.68023, "aux.loss_seg": 0.1075, "aux.acc_seg": 73.20093, "loss": 0.31966, "time": 0.30211} -{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.20671, "decode.acc_seg": 73.72752, "aux.loss_seg": 0.10551, "aux.acc_seg": 72.29123, "loss": 0.31222, "time": 0.30178} -{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.20942, "decode.acc_seg": 73.25557, "aux.loss_seg": 0.10468, "aux.acc_seg": 71.91514, "loss": 0.3141, "time": 0.30065} -{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.19446, "decode.acc_seg": 73.46024, "aux.loss_seg": 0.09846, "aux.acc_seg": 72.1018, "loss": 0.29292, "time": 0.30001} -{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.18918, "decode.acc_seg": 73.29645, "aux.loss_seg": 0.0959, "aux.acc_seg": 71.92682, "loss": 0.28509, "time": 0.30077} -{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.18489, "decode.acc_seg": 73.87323, "aux.loss_seg": 0.09275, "aux.acc_seg": 72.63249, "loss": 0.27764, "time": 0.30079} -{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.19335, "decode.acc_seg": 76.16408, "aux.loss_seg": 0.09701, "aux.acc_seg": 74.87611, "loss": 0.29036, "time": 0.30333} -{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.19267, "decode.acc_seg": 73.62674, "aux.loss_seg": 0.09847, "aux.acc_seg": 72.28874, "loss": 0.29114, "time": 0.30367} -{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.20495, "decode.acc_seg": 73.99026, "aux.loss_seg": 0.1017, "aux.acc_seg": 72.6779, "loss": 0.30664, "time": 0.30303} -{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.21598, "decode.acc_seg": 73.1813, "aux.loss_seg": 0.10607, "aux.acc_seg": 71.92141, "loss": 0.32204, "time": 0.30196} -{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.21849, "decode.acc_seg": 74.14003, "aux.loss_seg": 0.10981, "aux.acc_seg": 72.72483, "loss": 0.32829, "time": 0.30214} -{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.19849, "decode.acc_seg": 73.74808, "aux.loss_seg": 0.09864, "aux.acc_seg": 72.44767, "loss": 0.29713, "time": 0.30095} -{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.2034, "decode.acc_seg": 74.03116, "aux.loss_seg": 0.10312, "aux.acc_seg": 72.54076, "loss": 0.30652, "time": 0.30313} -{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.217, "decode.acc_seg": 72.52841, "aux.loss_seg": 0.10945, "aux.acc_seg": 71.06014, "loss": 0.32645, "time": 0.30491} -{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.2029, "decode.acc_seg": 74.49496, "aux.loss_seg": 0.10186, "aux.acc_seg": 72.89488, "loss": 0.30476, "time": 0.30304} -{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.21177, "decode.acc_seg": 74.37675, "aux.loss_seg": 0.10523, "aux.acc_seg": 73.06989, "loss": 0.317, "time": 0.302} -{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.21259, "decode.acc_seg": 73.16637, "aux.loss_seg": 0.10717, "aux.acc_seg": 71.65805, "loss": 0.31976, "time": 0.30263} -{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.21448, "decode.acc_seg": 73.73055, "aux.loss_seg": 0.10659, "aux.acc_seg": 72.40263, "loss": 0.32107, "time": 0.30211} -{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.19015, "decode.acc_seg": 74.26839, "aux.loss_seg": 0.09622, "aux.acc_seg": 72.95182, "loss": 0.28637, "time": 0.30466} -{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.20468, "decode.acc_seg": 73.78483, "aux.loss_seg": 0.10154, "aux.acc_seg": 72.52637, "loss": 0.30622, "time": 0.30152} -{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.20367, "decode.acc_seg": 74.82567, "aux.loss_seg": 0.10221, "aux.acc_seg": 73.45255, "loss": 0.30587, "time": 0.30194} -{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.20722, "decode.acc_seg": 73.57251, "aux.loss_seg": 0.1048, "aux.acc_seg": 72.14784, "loss": 0.31202, "time": 0.30224} -{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.20511, "decode.acc_seg": 74.59245, "aux.loss_seg": 0.10147, "aux.acc_seg": 73.32833, "loss": 0.30658, "time": 0.30189} -{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.21274, "decode.acc_seg": 73.6961, "aux.loss_seg": 0.10529, "aux.acc_seg": 72.43357, "loss": 0.31803, "time": 0.30058} -{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 36160, "data_time": 0.17574, "decode.loss_seg": 0.209, "decode.acc_seg": 73.66614, "aux.loss_seg": 0.10589, "aux.acc_seg": 72.27251, "loss": 0.31489, "time": 0.47154} -{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.20602, "decode.acc_seg": 75.12709, "aux.loss_seg": 0.10244, "aux.acc_seg": 73.82905, "loss": 0.30846, "time": 0.30026} -{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.20202, "decode.acc_seg": 74.47989, "aux.loss_seg": 0.10236, "aux.acc_seg": 73.01843, "loss": 0.30438, "time": 0.29964} -{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.20824, "decode.acc_seg": 73.84759, "aux.loss_seg": 0.10356, "aux.acc_seg": 72.50845, "loss": 0.3118, "time": 0.30081} -{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.2009, "decode.acc_seg": 74.84837, "aux.loss_seg": 0.10059, "aux.acc_seg": 73.57876, "loss": 0.30149, "time": 0.30001} -{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.20923, "decode.acc_seg": 73.09457, "aux.loss_seg": 0.10261, "aux.acc_seg": 71.85122, "loss": 0.31183, "time": 0.30039} -{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.19729, "decode.acc_seg": 72.97182, "aux.loss_seg": 0.10135, "aux.acc_seg": 71.54627, "loss": 0.29864, "time": 0.29984} -{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.19694, "decode.acc_seg": 74.83005, "aux.loss_seg": 0.09841, "aux.acc_seg": 73.58985, "loss": 0.29535, "time": 0.30313} -{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.19911, "decode.acc_seg": 73.7518, "aux.loss_seg": 0.10106, "aux.acc_seg": 72.38335, "loss": 0.30017, "time": 0.301} -{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.20534, "decode.acc_seg": 75.4077, "aux.loss_seg": 0.10298, "aux.acc_seg": 74.02723, "loss": 0.30832, "time": 0.30219} -{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.19626, "decode.acc_seg": 75.75681, "aux.loss_seg": 0.09776, "aux.acc_seg": 74.44544, "loss": 0.29402, "time": 0.30245} -{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.20018, "decode.acc_seg": 75.31673, "aux.loss_seg": 0.10027, "aux.acc_seg": 73.98402, "loss": 0.30045, "time": 0.30532} -{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.20009, "decode.acc_seg": 74.09098, "aux.loss_seg": 0.10048, "aux.acc_seg": 72.76807, "loss": 0.30057, "time": 0.30386} -{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.20477, "decode.acc_seg": 74.61433, "aux.loss_seg": 0.10328, "aux.acc_seg": 73.22775, "loss": 0.30805, "time": 0.30497} -{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.18791, "decode.acc_seg": 73.25779, "aux.loss_seg": 0.09518, "aux.acc_seg": 71.92061, "loss": 0.28309, "time": 0.30329} -{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.19787, "decode.acc_seg": 73.73806, "aux.loss_seg": 0.09979, "aux.acc_seg": 72.42005, "loss": 0.29766, "time": 0.30198} -{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.19113, "decode.acc_seg": 73.69419, "aux.loss_seg": 0.0967, "aux.acc_seg": 72.35816, "loss": 0.28784, "time": 0.30235} -{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.2037, "decode.acc_seg": 73.12437, "aux.loss_seg": 0.10084, "aux.acc_seg": 71.838, "loss": 0.30454, "time": 0.30376} -{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.19833, "decode.acc_seg": 74.65202, "aux.loss_seg": 0.0995, "aux.acc_seg": 73.4144, "loss": 0.29784, "time": 0.30413} -{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.20174, "decode.acc_seg": 74.38464, "aux.loss_seg": 0.09983, "aux.acc_seg": 73.12586, "loss": 0.30157, "time": 0.30391} -{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.19608, "decode.acc_seg": 73.65994, "aux.loss_seg": 0.09903, "aux.acc_seg": 72.26959, "loss": 0.29511, "time": 0.30272} -{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.19554, "decode.acc_seg": 73.43441, "aux.loss_seg": 0.09831, "aux.acc_seg": 72.09727, "loss": 0.29384, "time": 0.30143} -{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18946, "decode.acc_seg": 74.13622, "aux.loss_seg": 0.09512, "aux.acc_seg": 72.8251, "loss": 0.28458, "time": 0.30464} -{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.20187, "decode.acc_seg": 74.04123, "aux.loss_seg": 0.10149, "aux.acc_seg": 72.59588, "loss": 0.30336, "time": 0.30419} -{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.20247, "decode.acc_seg": 74.6927, "aux.loss_seg": 0.10031, "aux.acc_seg": 73.41086, "loss": 0.30278, "time": 0.3041} -{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 36160, "data_time": 0.18205, "decode.loss_seg": 0.20115, "decode.acc_seg": 73.85567, "aux.loss_seg": 0.10239, "aux.acc_seg": 72.45952, "loss": 0.30354, "time": 0.47895} -{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.19055, "decode.acc_seg": 73.55532, "aux.loss_seg": 0.09503, "aux.acc_seg": 72.29718, "loss": 0.28558, "time": 0.30144} -{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.20059, "decode.acc_seg": 74.0501, "aux.loss_seg": 0.10064, "aux.acc_seg": 72.75443, "loss": 0.30123, "time": 0.30148} -{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.20138, "decode.acc_seg": 74.27971, "aux.loss_seg": 0.10236, "aux.acc_seg": 72.86061, "loss": 0.30374, "time": 0.30081} -{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.19524, "decode.acc_seg": 75.31744, "aux.loss_seg": 0.09855, "aux.acc_seg": 74.02617, "loss": 0.29379, "time": 0.30026} -{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19741, "decode.acc_seg": 74.47021, "aux.loss_seg": 0.09981, "aux.acc_seg": 73.02276, "loss": 0.29723, "time": 0.30107} -{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.19882, "decode.acc_seg": 74.67344, "aux.loss_seg": 0.10164, "aux.acc_seg": 73.19938, "loss": 0.30046, "time": 0.30218} -{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.1925, "decode.acc_seg": 74.4594, "aux.loss_seg": 0.09717, "aux.acc_seg": 73.15268, "loss": 0.28967, "time": 0.30266} -{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.19776, "decode.acc_seg": 73.65423, "aux.loss_seg": 0.09956, "aux.acc_seg": 72.36355, "loss": 0.29731, "time": 0.30411} -{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.19708, "decode.acc_seg": 74.04822, "aux.loss_seg": 0.09822, "aux.acc_seg": 72.83694, "loss": 0.29531, "time": 0.30455} -{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20226, "decode.acc_seg": 73.79762, "aux.loss_seg": 0.10026, "aux.acc_seg": 72.52954, "loss": 0.30252, "time": 0.30413} -{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.19054, "decode.acc_seg": 73.06811, "aux.loss_seg": 0.09684, "aux.acc_seg": 71.65338, "loss": 0.28738, "time": 0.30301} -{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.18822, "decode.acc_seg": 72.78412, "aux.loss_seg": 0.09484, "aux.acc_seg": 71.46926, "loss": 0.28306, "time": 0.3017} -{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.19679, "decode.acc_seg": 74.98616, "aux.loss_seg": 0.10108, "aux.acc_seg": 73.57863, "loss": 0.29788, "time": 0.30198} -{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.18957, "decode.acc_seg": 73.79209, "aux.loss_seg": 0.095, "aux.acc_seg": 72.50528, "loss": 0.28457, "time": 0.3021} -{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.20286, "decode.acc_seg": 73.78897, "aux.loss_seg": 0.10176, "aux.acc_seg": 72.46987, "loss": 0.30462, "time": 0.30257} -{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.19117, "decode.acc_seg": 75.22538, "aux.loss_seg": 0.09654, "aux.acc_seg": 73.93299, "loss": 0.28771, "time": 0.30007} -{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.2033, "decode.acc_seg": 74.79021, "aux.loss_seg": 0.10263, "aux.acc_seg": 73.49468, "loss": 0.30592, "time": 0.30105} -{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.20293, "decode.acc_seg": 72.84973, "aux.loss_seg": 0.10177, "aux.acc_seg": 71.39408, "loss": 0.3047, "time": 0.30295} -{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.18784, "decode.acc_seg": 73.60347, "aux.loss_seg": 0.09354, "aux.acc_seg": 72.42703, "loss": 0.28137, "time": 0.30218} -{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.20645, "decode.acc_seg": 74.44421, "aux.loss_seg": 0.10276, "aux.acc_seg": 73.18611, "loss": 0.30921, "time": 0.30311} -{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.19193, "decode.acc_seg": 75.32045, "aux.loss_seg": 0.09651, "aux.acc_seg": 73.95819, "loss": 0.28843, "time": 0.30369} -{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.1989, "decode.acc_seg": 72.21211, "aux.loss_seg": 0.10013, "aux.acc_seg": 70.85995, "loss": 0.29903, "time": 0.30065} -{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.20594, "decode.acc_seg": 74.67112, "aux.loss_seg": 0.10558, "aux.acc_seg": 73.20782, "loss": 0.31153, "time": 0.30275} -{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.20261, "decode.acc_seg": 75.135, "aux.loss_seg": 0.10078, "aux.acc_seg": 73.83605, "loss": 0.30339, "time": 0.30414} -{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.19949, "decode.acc_seg": 73.1712, "aux.loss_seg": 0.10029, "aux.acc_seg": 71.89483, "loss": 0.29979, "time": 0.3028} -{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 36160, "data_time": 0.16098, "decode.loss_seg": 0.18899, "decode.acc_seg": 73.78642, "aux.loss_seg": 0.09604, "aux.acc_seg": 72.48202, "loss": 0.28503, "time": 0.45699} -{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.19683, "decode.acc_seg": 74.52065, "aux.loss_seg": 0.0994, "aux.acc_seg": 73.15812, "loss": 0.29623, "time": 0.30171} -{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.19254, "decode.acc_seg": 72.76917, "aux.loss_seg": 0.09816, "aux.acc_seg": 71.29249, "loss": 0.2907, "time": 0.30199} -{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.20553, "decode.acc_seg": 73.75563, "aux.loss_seg": 0.10215, "aux.acc_seg": 72.49846, "loss": 0.30768, "time": 0.30021} -{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20207, "decode.acc_seg": 74.58861, "aux.loss_seg": 0.10036, "aux.acc_seg": 73.27304, "loss": 0.30243, "time": 0.30049} -{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.1918, "decode.acc_seg": 74.76135, "aux.loss_seg": 0.0973, "aux.acc_seg": 73.45107, "loss": 0.2891, "time": 0.30018} -{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20799, "decode.acc_seg": 73.84483, "aux.loss_seg": 0.10462, "aux.acc_seg": 72.39064, "loss": 0.31262, "time": 0.30292} -{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.20251, "decode.acc_seg": 75.35789, "aux.loss_seg": 0.10354, "aux.acc_seg": 73.84397, "loss": 0.30605, "time": 0.30014} -{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.19794, "decode.acc_seg": 73.9178, "aux.loss_seg": 0.0998, "aux.acc_seg": 72.50506, "loss": 0.29775, "time": 0.30141} -{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.20916, "decode.acc_seg": 73.17501, "aux.loss_seg": 0.10339, "aux.acc_seg": 71.96113, "loss": 0.31255, "time": 0.30104} -{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.20703, "decode.acc_seg": 73.45887, "aux.loss_seg": 0.10348, "aux.acc_seg": 72.16432, "loss": 0.31051, "time": 0.30167} -{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.22089, "decode.acc_seg": 74.31871, "aux.loss_seg": 0.11022, "aux.acc_seg": 72.87624, "loss": 0.3311, "time": 0.30241} -{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.19321, "decode.acc_seg": 73.21137, "aux.loss_seg": 0.09786, "aux.acc_seg": 71.82867, "loss": 0.29107, "time": 0.30146} -{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.20351, "decode.acc_seg": 74.46165, "aux.loss_seg": 0.10329, "aux.acc_seg": 72.99925, "loss": 0.3068, "time": 0.30089} -{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.20287, "decode.acc_seg": 73.07221, "aux.loss_seg": 0.10326, "aux.acc_seg": 71.54077, "loss": 0.30612, "time": 0.30049} -{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.20129, "decode.acc_seg": 75.10907, "aux.loss_seg": 0.10159, "aux.acc_seg": 73.70215, "loss": 0.30288, "time": 0.30225} -{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.19977, "decode.acc_seg": 74.22117, "aux.loss_seg": 0.09981, "aux.acc_seg": 72.92158, "loss": 0.29958, "time": 0.30222} -{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19488, "decode.acc_seg": 73.41239, "aux.loss_seg": 0.09875, "aux.acc_seg": 72.04635, "loss": 0.29363, "time": 0.30092} -{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.18552, "decode.acc_seg": 75.21104, "aux.loss_seg": 0.09351, "aux.acc_seg": 73.92667, "loss": 0.27903, "time": 0.30101} -{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18553, "decode.acc_seg": 74.6112, "aux.loss_seg": 0.09388, "aux.acc_seg": 73.25782, "loss": 0.27941, "time": 0.30087} -{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.18844, "decode.acc_seg": 73.47895, "aux.loss_seg": 0.09418, "aux.acc_seg": 72.27023, "loss": 0.28262, "time": 0.30074} -{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.20447, "decode.acc_seg": 74.94723, "aux.loss_seg": 0.10231, "aux.acc_seg": 73.63868, "loss": 0.30678, "time": 0.30175} -{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.17894, "decode.acc_seg": 74.064, "aux.loss_seg": 0.09153, "aux.acc_seg": 72.78668, "loss": 0.27047, "time": 0.30099} -{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20242, "decode.acc_seg": 73.41427, "aux.loss_seg": 0.10244, "aux.acc_seg": 71.94545, "loss": 0.30485, "time": 0.30233} -{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.19901, "decode.acc_seg": 73.77034, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.3811, "loss": 0.29908, "time": 0.30159} -{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 36160, "data_time": 0.17076, "decode.loss_seg": 0.19257, "decode.acc_seg": 74.65159, "aux.loss_seg": 0.09728, "aux.acc_seg": 73.28304, "loss": 0.28985, "time": 0.46585} -{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.19791, "decode.acc_seg": 73.74241, "aux.loss_seg": 0.0981, "aux.acc_seg": 72.52081, "loss": 0.29602, "time": 0.30049} -{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.18871, "decode.acc_seg": 74.10534, "aux.loss_seg": 0.09554, "aux.acc_seg": 72.78056, "loss": 0.28425, "time": 0.29997} -{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18749, "decode.acc_seg": 73.92287, "aux.loss_seg": 0.09549, "aux.acc_seg": 72.57633, "loss": 0.28299, "time": 0.29917} -{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.18696, "decode.acc_seg": 74.57762, "aux.loss_seg": 0.09328, "aux.acc_seg": 73.34352, "loss": 0.28025, "time": 0.29934} -{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.19675, "decode.acc_seg": 74.85186, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.49088, "loss": 0.29536, "time": 0.30141} -{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.19991, "decode.acc_seg": 72.35986, "aux.loss_seg": 0.10005, "aux.acc_seg": 70.98917, "loss": 0.29996, "time": 0.30081} -{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.19654, "decode.acc_seg": 73.52638, "aux.loss_seg": 0.09818, "aux.acc_seg": 72.30071, "loss": 0.29472, "time": 0.30127} -{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.20927, "decode.acc_seg": 74.39517, "aux.loss_seg": 0.10461, "aux.acc_seg": 73.03659, "loss": 0.31389, "time": 0.30261} -{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.19162, "decode.acc_seg": 74.42658, "aux.loss_seg": 0.09557, "aux.acc_seg": 73.16227, "loss": 0.28719, "time": 0.30321} -{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.19948, "decode.acc_seg": 74.16418, "aux.loss_seg": 0.10154, "aux.acc_seg": 72.69499, "loss": 0.30101, "time": 0.30364} -{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.19674, "decode.acc_seg": 74.07814, "aux.loss_seg": 0.09815, "aux.acc_seg": 72.89059, "loss": 0.29489, "time": 0.30161} -{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19328, "decode.acc_seg": 74.87486, "aux.loss_seg": 0.09772, "aux.acc_seg": 73.48848, "loss": 0.291, "time": 0.30193} -{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.22592, "decode.acc_seg": 73.93057, "aux.loss_seg": 0.112, "aux.acc_seg": 72.50583, "loss": 0.33792, "time": 0.30336} -{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.20556, "decode.acc_seg": 74.59142, "aux.loss_seg": 0.10221, "aux.acc_seg": 73.27424, "loss": 0.30777, "time": 0.30322} -{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.20562, "decode.acc_seg": 74.31779, "aux.loss_seg": 0.10358, "aux.acc_seg": 72.87133, "loss": 0.3092, "time": 0.30098} -{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.18916, "decode.acc_seg": 72.60704, "aux.loss_seg": 0.09578, "aux.acc_seg": 71.20839, "loss": 0.28494, "time": 0.30196} -{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.20431, "decode.acc_seg": 72.87796, "aux.loss_seg": 0.10218, "aux.acc_seg": 71.52405, "loss": 0.3065, "time": 0.30142} -{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.20173, "decode.acc_seg": 74.18377, "aux.loss_seg": 0.10134, "aux.acc_seg": 72.66159, "loss": 0.30306, "time": 0.30269} -{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.19897, "decode.acc_seg": 73.37481, "aux.loss_seg": 0.10052, "aux.acc_seg": 72.04938, "loss": 0.29949, "time": 0.30314} -{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.1961, "decode.acc_seg": 73.2707, "aux.loss_seg": 0.10042, "aux.acc_seg": 71.81184, "loss": 0.29652, "time": 0.3003} -{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.19781, "decode.acc_seg": 73.34682, "aux.loss_seg": 0.10042, "aux.acc_seg": 71.97905, "loss": 0.29823, "time": 0.30061} -{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.18143, "decode.acc_seg": 74.44527, "aux.loss_seg": 0.08963, "aux.acc_seg": 73.37103, "loss": 0.27106, "time": 0.30039} -{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20482, "decode.acc_seg": 73.6249, "aux.loss_seg": 0.1035, "aux.acc_seg": 72.24811, "loss": 0.30832, "time": 0.30182} -{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.18462, "decode.acc_seg": 73.7835, "aux.loss_seg": 0.0942, "aux.acc_seg": 72.43191, "loss": 0.27882, "time": 0.30214} -{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 36160, "data_time": 0.18047, "decode.loss_seg": 0.19976, "decode.acc_seg": 74.4842, "aux.loss_seg": 0.09845, "aux.acc_seg": 73.2535, "loss": 0.29821, "time": 0.47616} -{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.20247, "decode.acc_seg": 74.13645, "aux.loss_seg": 0.10105, "aux.acc_seg": 72.88592, "loss": 0.30352, "time": 0.30048} -{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.20039, "decode.acc_seg": 74.63119, "aux.loss_seg": 0.102, "aux.acc_seg": 73.34657, "loss": 0.30238, "time": 0.29937} -{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.19051, "decode.acc_seg": 73.27875, "aux.loss_seg": 0.09629, "aux.acc_seg": 71.85783, "loss": 0.2868, "time": 0.30008} -{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.19401, "decode.acc_seg": 74.06538, "aux.loss_seg": 0.09788, "aux.acc_seg": 72.65374, "loss": 0.2919, "time": 0.3001} -{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.199, "decode.acc_seg": 73.7302, "aux.loss_seg": 0.10092, "aux.acc_seg": 72.27202, "loss": 0.29992, "time": 0.29983} -{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.20447, "decode.acc_seg": 75.23648, "aux.loss_seg": 0.10223, "aux.acc_seg": 73.94216, "loss": 0.3067, "time": 0.30063} -{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.18803, "decode.acc_seg": 74.51878, "aux.loss_seg": 0.09426, "aux.acc_seg": 73.3224, "loss": 0.2823, "time": 0.29993} -{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.20242, "decode.acc_seg": 75.64543, "aux.loss_seg": 0.10114, "aux.acc_seg": 74.28783, "loss": 0.30356, "time": 0.30004} -{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.19553, "decode.acc_seg": 73.8126, "aux.loss_seg": 0.09747, "aux.acc_seg": 72.50712, "loss": 0.29301, "time": 0.29991} -{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.19846, "decode.acc_seg": 74.71665, "aux.loss_seg": 0.09933, "aux.acc_seg": 73.43396, "loss": 0.29779, "time": 0.30081} -{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.18843, "decode.acc_seg": 75.12886, "aux.loss_seg": 0.09505, "aux.acc_seg": 73.82017, "loss": 0.28348, "time": 0.30149} -{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.1945, "decode.acc_seg": 73.52137, "aux.loss_seg": 0.09723, "aux.acc_seg": 72.23441, "loss": 0.29173, "time": 0.29989} -{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.19214, "decode.acc_seg": 74.45989, "aux.loss_seg": 0.09908, "aux.acc_seg": 72.95294, "loss": 0.29121, "time": 0.29968} -{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.20259, "decode.acc_seg": 75.36424, "aux.loss_seg": 0.10171, "aux.acc_seg": 73.92398, "loss": 0.30429, "time": 0.29943} -{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.19303, "decode.acc_seg": 73.72315, "aux.loss_seg": 0.09681, "aux.acc_seg": 72.49134, "loss": 0.28984, "time": 0.30064} -{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.18897, "decode.acc_seg": 74.17939, "aux.loss_seg": 0.09356, "aux.acc_seg": 73.08383, "loss": 0.28254, "time": 0.30057} -{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.19113, "decode.acc_seg": 76.49237, "aux.loss_seg": 0.09635, "aux.acc_seg": 75.20389, "loss": 0.28748, "time": 0.29934} -{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.19737, "decode.acc_seg": 74.12124, "aux.loss_seg": 0.10007, "aux.acc_seg": 72.81426, "loss": 0.29744, "time": 0.30006} -{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.19546, "decode.acc_seg": 74.49606, "aux.loss_seg": 0.09852, "aux.acc_seg": 73.17315, "loss": 0.29398, "time": 0.30098} -{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.19908, "decode.acc_seg": 74.14095, "aux.loss_seg": 0.09954, "aux.acc_seg": 72.81251, "loss": 0.29862, "time": 0.30046} -{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.18685, "decode.acc_seg": 74.7634, "aux.loss_seg": 0.0936, "aux.acc_seg": 73.48746, "loss": 0.28045, "time": 0.30003} -{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.20276, "decode.acc_seg": 73.71789, "aux.loss_seg": 0.10024, "aux.acc_seg": 72.46388, "loss": 0.303, "time": 0.30077} -{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.19504, "decode.acc_seg": 73.69425, "aux.loss_seg": 0.09815, "aux.acc_seg": 72.4212, "loss": 0.2932, "time": 0.30076} -{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.18931, "decode.acc_seg": 74.23302, "aux.loss_seg": 0.09612, "aux.acc_seg": 72.82238, "loss": 0.28543, "time": 0.30038} -{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 36160, "data_time": 0.18024, "decode.loss_seg": 0.19423, "decode.acc_seg": 72.68545, "aux.loss_seg": 0.09718, "aux.acc_seg": 71.49413, "loss": 0.2914, "time": 0.47552} -{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18702, "decode.acc_seg": 74.37791, "aux.loss_seg": 0.09565, "aux.acc_seg": 72.96615, "loss": 0.28268, "time": 0.3043} -{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.1996, "decode.acc_seg": 73.45996, "aux.loss_seg": 0.10074, "aux.acc_seg": 72.15241, "loss": 0.30034, "time": 0.3034} -{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.18021, "decode.acc_seg": 73.38474, "aux.loss_seg": 0.09188, "aux.acc_seg": 72.07665, "loss": 0.2721, "time": 0.3038} -{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.19625, "decode.acc_seg": 75.12305, "aux.loss_seg": 0.09973, "aux.acc_seg": 73.70604, "loss": 0.29598, "time": 0.30325} -{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.18922, "decode.acc_seg": 75.61168, "aux.loss_seg": 0.09507, "aux.acc_seg": 74.32128, "loss": 0.28429, "time": 0.30007} -{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.18925, "decode.acc_seg": 73.5074, "aux.loss_seg": 0.09367, "aux.acc_seg": 72.26254, "loss": 0.28291, "time": 0.30027} -{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.19643, "decode.acc_seg": 73.78826, "aux.loss_seg": 0.09857, "aux.acc_seg": 72.42548, "loss": 0.29501, "time": 0.30291} -{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.18092, "decode.acc_seg": 72.70126, "aux.loss_seg": 0.09255, "aux.acc_seg": 71.40127, "loss": 0.27347, "time": 0.3022} -{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.19265, "decode.acc_seg": 74.41406, "aux.loss_seg": 0.09811, "aux.acc_seg": 73.00924, "loss": 0.29076, "time": 0.30215} -{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.18738, "decode.acc_seg": 73.97896, "aux.loss_seg": 0.09704, "aux.acc_seg": 72.53407, "loss": 0.28442, "time": 0.30138} -{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.2018, "decode.acc_seg": 75.01555, "aux.loss_seg": 0.09996, "aux.acc_seg": 73.73729, "loss": 0.30176, "time": 0.30147} -{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.19548, "decode.acc_seg": 74.95425, "aux.loss_seg": 0.10247, "aux.acc_seg": 73.31148, "loss": 0.29795, "time": 0.30134} -{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.18676, "decode.acc_seg": 73.75761, "aux.loss_seg": 0.09344, "aux.acc_seg": 72.4707, "loss": 0.2802, "time": 0.30126} -{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.1969, "decode.acc_seg": 74.6168, "aux.loss_seg": 0.10008, "aux.acc_seg": 73.23332, "loss": 0.29698, "time": 0.30041} -{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.18419, "decode.acc_seg": 72.68371, "aux.loss_seg": 0.09422, "aux.acc_seg": 71.26944, "loss": 0.27842, "time": 0.30213} -{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.20725, "decode.acc_seg": 73.52574, "aux.loss_seg": 0.10458, "aux.acc_seg": 72.19959, "loss": 0.31184, "time": 0.30246} -{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.19079, "decode.acc_seg": 73.1087, "aux.loss_seg": 0.09533, "aux.acc_seg": 71.79543, "loss": 0.28612, "time": 0.30317} -{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.19351, "decode.acc_seg": 74.7853, "aux.loss_seg": 0.09938, "aux.acc_seg": 73.3728, "loss": 0.29289, "time": 0.30193} -{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18605, "decode.acc_seg": 73.81841, "aux.loss_seg": 0.0952, "aux.acc_seg": 72.42066, "loss": 0.28125, "time": 0.30133} -{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.19302, "decode.acc_seg": 73.17886, "aux.loss_seg": 0.10056, "aux.acc_seg": 71.66697, "loss": 0.29359, "time": 0.30393} -{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.18919, "decode.acc_seg": 72.92626, "aux.loss_seg": 0.09632, "aux.acc_seg": 71.51489, "loss": 0.28551, "time": 0.30146} -{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.19668, "decode.acc_seg": 74.04236, "aux.loss_seg": 0.0996, "aux.acc_seg": 72.59451, "loss": 0.29628, "time": 0.30171} -{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.19339, "decode.acc_seg": 74.45969, "aux.loss_seg": 0.09671, "aux.acc_seg": 73.22775, "loss": 0.29009, "time": 0.30079} -{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.18454, "decode.acc_seg": 73.88825, "aux.loss_seg": 0.09249, "aux.acc_seg": 72.60216, "loss": 0.27703, "time": 0.30126} -{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.18893, "decode.acc_seg": 74.55124, "aux.loss_seg": 0.095, "aux.acc_seg": 73.29445, "loss": 0.28393, "time": 0.30107} -{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 36160, "data_time": 0.18021, "decode.loss_seg": 0.18351, "decode.acc_seg": 73.91462, "aux.loss_seg": 0.09235, "aux.acc_seg": 72.61017, "loss": 0.27586, "time": 0.47558} -{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.19902, "decode.acc_seg": 74.19989, "aux.loss_seg": 0.09947, "aux.acc_seg": 72.81035, "loss": 0.29849, "time": 0.30062} -{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.18999, "decode.acc_seg": 74.47666, "aux.loss_seg": 0.09541, "aux.acc_seg": 73.13655, "loss": 0.2854, "time": 0.30106} -{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.18799, "decode.acc_seg": 74.78819, "aux.loss_seg": 0.09503, "aux.acc_seg": 73.50096, "loss": 0.28301, "time": 0.30303} -{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.19289, "decode.acc_seg": 74.89042, "aux.loss_seg": 0.0974, "aux.acc_seg": 73.54192, "loss": 0.29029, "time": 0.30265} -{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.18061, "decode.acc_seg": 75.26992, "aux.loss_seg": 0.09192, "aux.acc_seg": 73.96886, "loss": 0.27253, "time": 0.29961} -{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.18001, "decode.acc_seg": 74.7448, "aux.loss_seg": 0.09156, "aux.acc_seg": 73.37146, "loss": 0.27157, "time": 0.30063} -{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.18054, "decode.acc_seg": 73.61526, "aux.loss_seg": 0.09187, "aux.acc_seg": 72.28687, "loss": 0.2724, "time": 0.30062} -{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.19199, "decode.acc_seg": 74.99939, "aux.loss_seg": 0.09615, "aux.acc_seg": 73.81009, "loss": 0.28814, "time": 0.30089} -{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.18897, "decode.acc_seg": 75.34799, "aux.loss_seg": 0.09702, "aux.acc_seg": 73.83722, "loss": 0.28598, "time": 0.30406} -{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.18922, "decode.acc_seg": 75.38298, "aux.loss_seg": 0.09323, "aux.acc_seg": 74.21989, "loss": 0.28245, "time": 0.30238} -{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.19024, "decode.acc_seg": 73.38173, "aux.loss_seg": 0.09911, "aux.acc_seg": 71.934, "loss": 0.28936, "time": 0.30063} -{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.18781, "decode.acc_seg": 73.12223, "aux.loss_seg": 0.09437, "aux.acc_seg": 71.94748, "loss": 0.28218, "time": 0.30077} -{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.20736, "decode.acc_seg": 74.94951, "aux.loss_seg": 0.10396, "aux.acc_seg": 73.62871, "loss": 0.31132, "time": 0.30188} -{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.18704, "decode.acc_seg": 73.4733, "aux.loss_seg": 0.09479, "aux.acc_seg": 72.20836, "loss": 0.28184, "time": 0.30191} -{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.18983, "decode.acc_seg": 73.41019, "aux.loss_seg": 0.09683, "aux.acc_seg": 72.07868, "loss": 0.28667, "time": 0.3017} -{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.19171, "decode.acc_seg": 76.11082, "aux.loss_seg": 0.09703, "aux.acc_seg": 74.83219, "loss": 0.28874, "time": 0.30251} -{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.19698, "decode.acc_seg": 76.01444, "aux.loss_seg": 0.09927, "aux.acc_seg": 74.71135, "loss": 0.29625, "time": 0.30037} -{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18866, "decode.acc_seg": 73.83267, "aux.loss_seg": 0.0946, "aux.acc_seg": 72.55669, "loss": 0.28327, "time": 0.30086} -{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18494, "decode.acc_seg": 74.56368, "aux.loss_seg": 0.09334, "aux.acc_seg": 73.22993, "loss": 0.27828, "time": 0.30239} -{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.18926, "decode.acc_seg": 73.39385, "aux.loss_seg": 0.09636, "aux.acc_seg": 72.03849, "loss": 0.28562, "time": 0.30173} -{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.19156, "decode.acc_seg": 75.418, "aux.loss_seg": 0.09687, "aux.acc_seg": 74.02008, "loss": 0.28843, "time": 0.30127} -{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.1799, "decode.acc_seg": 75.62872, "aux.loss_seg": 0.09119, "aux.acc_seg": 74.34611, "loss": 0.27109, "time": 0.30219} -{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19305, "decode.acc_seg": 73.05684, "aux.loss_seg": 0.09622, "aux.acc_seg": 71.76715, "loss": 0.28927, "time": 0.30195} -{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.19499, "decode.acc_seg": 74.92594, "aux.loss_seg": 0.09878, "aux.acc_seg": 73.60473, "loss": 0.29377, "time": 0.30372} -{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 36160, "data_time": 0.14613, "decode.loss_seg": 0.19226, "decode.acc_seg": 74.78228, "aux.loss_seg": 0.09719, "aux.acc_seg": 73.43509, "loss": 0.28945, "time": 0.46} -{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18976, "decode.acc_seg": 75.39039, "aux.loss_seg": 0.09665, "aux.acc_seg": 74.04548, "loss": 0.28641, "time": 0.30155} -{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.18682, "decode.acc_seg": 76.4242, "aux.loss_seg": 0.09488, "aux.acc_seg": 75.12755, "loss": 0.28169, "time": 0.30258} -{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.18633, "decode.acc_seg": 75.52465, "aux.loss_seg": 0.09487, "aux.acc_seg": 74.2054, "loss": 0.2812, "time": 0.30244} -{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.19721, "decode.acc_seg": 74.98991, "aux.loss_seg": 0.10024, "aux.acc_seg": 73.60775, "loss": 0.29745, "time": 0.30107} -{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.19249, "decode.acc_seg": 75.33025, "aux.loss_seg": 0.09823, "aux.acc_seg": 73.98109, "loss": 0.29071, "time": 0.30159} -{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19929, "decode.acc_seg": 73.00755, "aux.loss_seg": 0.10068, "aux.acc_seg": 71.57952, "loss": 0.29997, "time": 0.30217} -{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18514, "decode.acc_seg": 74.41263, "aux.loss_seg": 0.09529, "aux.acc_seg": 72.93741, "loss": 0.28043, "time": 0.30217} -{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.19135, "decode.acc_seg": 75.4254, "aux.loss_seg": 0.09614, "aux.acc_seg": 74.08099, "loss": 0.2875, "time": 0.30272} -{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.18199, "decode.acc_seg": 72.93806, "aux.loss_seg": 0.09341, "aux.acc_seg": 71.6119, "loss": 0.2754, "time": 0.30359} -{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19057, "decode.acc_seg": 74.11836, "aux.loss_seg": 0.09585, "aux.acc_seg": 72.85868, "loss": 0.28642, "time": 0.30172} -{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.20267, "decode.acc_seg": 74.33588, "aux.loss_seg": 0.10037, "aux.acc_seg": 72.99491, "loss": 0.30304, "time": 0.30274} -{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17773, "decode.acc_seg": 72.82641, "aux.loss_seg": 0.0899, "aux.acc_seg": 71.63692, "loss": 0.26764, "time": 0.30141} -{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18578, "decode.acc_seg": 74.94845, "aux.loss_seg": 0.09449, "aux.acc_seg": 73.63697, "loss": 0.28027, "time": 0.3013} -{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.18783, "decode.acc_seg": 74.94048, "aux.loss_seg": 0.09546, "aux.acc_seg": 73.59668, "loss": 0.28329, "time": 0.30156} -{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.1869, "decode.acc_seg": 74.45389, "aux.loss_seg": 0.09406, "aux.acc_seg": 73.20326, "loss": 0.28096, "time": 0.29993} -{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19012, "decode.acc_seg": 73.81226, "aux.loss_seg": 0.09652, "aux.acc_seg": 72.50752, "loss": 0.28665, "time": 0.30016} -{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.19673, "decode.acc_seg": 74.13908, "aux.loss_seg": 0.09961, "aux.acc_seg": 72.75039, "loss": 0.29634, "time": 0.30096} -{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.19119, "decode.acc_seg": 74.80156, "aux.loss_seg": 0.0962, "aux.acc_seg": 73.49613, "loss": 0.28739, "time": 0.30028} -{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.18998, "decode.acc_seg": 74.15463, "aux.loss_seg": 0.09638, "aux.acc_seg": 72.8269, "loss": 0.28636, "time": 0.30232} -{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.19285, "decode.acc_seg": 73.8672, "aux.loss_seg": 0.09899, "aux.acc_seg": 72.35396, "loss": 0.29184, "time": 0.30181} -{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.19221, "decode.acc_seg": 75.6313, "aux.loss_seg": 0.0958, "aux.acc_seg": 74.34476, "loss": 0.28801, "time": 0.30259} -{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.19233, "decode.acc_seg": 73.74913, "aux.loss_seg": 0.10017, "aux.acc_seg": 72.22045, "loss": 0.2925, "time": 0.30488} -{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.18282, "decode.acc_seg": 74.3891, "aux.loss_seg": 0.09357, "aux.acc_seg": 73.0282, "loss": 0.27639, "time": 0.30212} -{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.184, "decode.acc_seg": 73.8607, "aux.loss_seg": 0.09347, "aux.acc_seg": 72.62654, "loss": 0.27747, "time": 0.302} -{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4782, "mAcc": 0.5984, "aAcc": 0.8224, "IoU.wall": 0.7666, "IoU.building": 0.8207, "IoU.sky": 0.9391, "IoU.floor": 0.8082, "IoU.tree": 0.7202, "IoU.ceiling": 0.8364, "IoU.road": 0.8132, "IoU.bed ": 0.8669, "IoU.windowpane": 0.5886, "IoU.grass": 0.6683, "IoU.cabinet": 0.5999, "IoU.sidewalk": 0.6445, "IoU.person": 0.7792, "IoU.earth": 0.3498, "IoU.door": 0.4682, "IoU.table": 0.5845, "IoU.mountain": 0.5847, "IoU.plant": 0.5286, "IoU.curtain": 0.7064, "IoU.chair": 0.5371, "IoU.car": 0.8314, "IoU.water": 0.4968, "IoU.painting": 0.7182, "IoU.sofa": 0.5999, "IoU.shelf": 0.4078, "IoU.house": 0.4873, "IoU.sea": 0.5402, "IoU.mirror": 0.6309, "IoU.rug": 0.6366, "IoU.field": 0.286, "IoU.armchair": 0.4022, "IoU.seat": 0.5943, "IoU.fence": 0.4186, "IoU.desk": 0.4931, "IoU.rock": 0.4346, "IoU.wardrobe": 0.4946, "IoU.lamp": 0.5994, "IoU.bathtub": 0.7495, "IoU.railing": 0.3485, "IoU.cushion": 0.5605, "IoU.base": 0.3039, "IoU.box": 0.2726, "IoU.column": 0.422, "IoU.signboard": 0.3557, "IoU.chest of drawers": 0.4047, "IoU.counter": 0.3248, "IoU.sand": 0.4827, "IoU.sink": 0.6841, "IoU.skyscraper": 0.6548, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7003, "IoU.grandstand": 0.4292, "IoU.path": 0.2677, "IoU.stairs": 0.2579, "IoU.runway": 0.6579, "IoU.case": 0.4064, "IoU.pool table": 0.9137, "IoU.pillow": 0.5002, "IoU.screen door": 0.6274, "IoU.stairway": 0.3051, "IoU.river": 0.0904, "IoU.bridge": 0.7416, "IoU.bookcase": 0.3998, "IoU.blind": NaN, "IoU.coffee table": 0.5265, "IoU.toilet": 0.8225, "IoU.flower": 0.447, "IoU.book": 0.4332, "IoU.hill": 0.1299, "IoU.bench": 0.4219, "IoU.countertop": 0.5553, "IoU.stove": 0.7268, "IoU.palm": 0.5045, "IoU.kitchen island": 0.3942, "IoU.computer": 0.5988, "IoU.swivel chair": 0.4454, "IoU.boat": 0.4081, "IoU.bar": 0.4266, "IoU.arcade machine": 0.4712, "IoU.hovel": 0.3162, "IoU.bus": 0.8718, "IoU.towel": 0.6687, "IoU.light": 0.5335, "IoU.truck": 0.2561, "IoU.tower": 0.0444, "IoU.chandelier": 0.6248, "IoU.awning": 0.2709, "IoU.streetlight": 0.223, "IoU.booth": 0.5881, "IoU.television receiver": NaN, "IoU.airplane": 0.6044, "IoU.dirt track": 0.0051, "IoU.apparel": 0.3337, "IoU.pole": 0.1792, "IoU.land": 0.0247, "IoU.bannister": 0.0664, "IoU.escalator": 0.3869, "IoU.ottoman": 0.3846, "IoU.bottle": NaN, "IoU.buffet": 0.5011, "IoU.poster": 0.3274, "IoU.stage": 0.1703, "IoU.van": 0.3998, "IoU.ship": 0.5976, "IoU.fountain": 0.2094, "IoU.conveyer belt": 0.7857, "IoU.canopy": 0.2273, "IoU.washer": 0.7295, "IoU.plaything": 0.1855, "IoU.swimming pool": 0.6751, "IoU.stool": 0.3993, "IoU.barrel": 0.4844, "IoU.basket": 0.3555, "IoU.waterfall": 0.4739, "IoU.tent": 0.8871, "IoU.bag": 0.1109, "IoU.minibike": 0.7043, "IoU.cradle": NaN, "IoU.oven": 0.4186, "IoU.ball": 0.4298, "IoU.food": 0.3353, "IoU.step": 0.0542, "IoU.tank": 0.5234, "IoU.trade name": 0.254, "IoU.microwave": 0.7174, "IoU.pot": 0.5257, "IoU.animal": NaN, "IoU.bicycle": 0.5289, "IoU.lake": 0.4032, "IoU.dishwasher": 0.5485, "IoU.screen": 0.6881, "IoU.blanket": 0.1271, "IoU.sculpture": 0.5885, "IoU.hood": 0.5618, "IoU.sconce": 0.4603, "IoU.vase": 0.3422, "IoU.traffic light": 0.2802, "IoU.tray": 0.0705, "IoU.ashcan": 0.4071, "IoU.fan": 0.6024, "IoU.pier": 0.3343, "IoU.crt screen": 0.0014, "IoU.plate": 0.5834, "IoU.monitor": 0.5229, "IoU.bulletin board": 0.4417, "IoU.shower": 0.0065, "IoU.radiator": 0.6027, "IoU.glass": 0.1371, "IoU.clock": 0.4223, "IoU.flag": 0.4784, "Acc.wall": 0.8725, "Acc.building": 0.926, "Acc.sky": 0.9728, "Acc.floor": 0.8945, "Acc.tree": 0.8584, "Acc.ceiling": 0.9205, "Acc.road": 0.901, "Acc.bed ": 0.9517, "Acc.windowpane": 0.7968, "Acc.grass": 0.8376, "Acc.cabinet": 0.7531, "Acc.sidewalk": 0.802, "Acc.person": 0.9005, "Acc.earth": 0.4405, "Acc.door": 0.6029, "Acc.table": 0.7531, "Acc.mountain": 0.716, "Acc.plant": 0.6304, "Acc.curtain": 0.8213, "Acc.chair": 0.6537, "Acc.car": 0.9148, "Acc.water": 0.6363, "Acc.painting": 0.847, "Acc.sofa": 0.7797, "Acc.shelf": 0.5781, "Acc.house": 0.6207, "Acc.sea": 0.702, "Acc.mirror": 0.7202, "Acc.rug": 0.7608, "Acc.field": 0.458, "Acc.armchair": 0.6259, "Acc.seat": 0.7817, "Acc.fence": 0.6026, "Acc.desk": 0.6708, "Acc.rock": 0.7065, "Acc.wardrobe": 0.6367, "Acc.lamp": 0.7356, "Acc.bathtub": 0.8079, "Acc.railing": 0.5367, "Acc.cushion": 0.7258, "Acc.base": 0.4002, "Acc.box": 0.3694, "Acc.column": 0.5325, "Acc.signboard": 0.5, "Acc.chest of drawers": 0.5448, "Acc.counter": 0.4231, "Acc.sand": 0.7352, "Acc.sink": 0.8089, "Acc.skyscraper": 0.8521, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8004, "Acc.grandstand": 0.7058, "Acc.path": 0.367, "Acc.stairs": 0.3163, "Acc.runway": 0.8806, "Acc.case": 0.5234, "Acc.pool table": 0.9657, "Acc.pillow": 0.5589, "Acc.screen door": 0.7367, "Acc.stairway": 0.4286, "Acc.river": 0.3005, "Acc.bridge": 0.8321, "Acc.bookcase": 0.5098, "Acc.blind": NaN, "Acc.coffee table": 0.8037, "Acc.toilet": 0.8959, "Acc.flower": 0.6003, "Acc.book": 0.6442, "Acc.hill": 0.2244, "Acc.bench": 0.534, "Acc.countertop": 0.7027, "Acc.stove": 0.8342, "Acc.palm": 0.7465, "Acc.kitchen island": 0.7353, "Acc.computer": 0.7201, "Acc.swivel chair": 0.6873, "Acc.boat": 0.4855, "Acc.bar": 0.531, "Acc.arcade machine": 0.5025, "Acc.hovel": 0.3371, "Acc.bus": 0.9451, "Acc.towel": 0.8002, "Acc.light": 0.5953, "Acc.truck": 0.3417, "Acc.tower": 0.0728, "Acc.chandelier": 0.8084, "Acc.awning": 0.3618, "Acc.streetlight": 0.2957, "Acc.booth": 0.686, "Acc.television receiver": NaN, "Acc.airplane": 0.7441, "Acc.dirt track": 0.0068, "Acc.apparel": 0.5336, "Acc.pole": 0.2527, "Acc.land": 0.037, "Acc.bannister": 0.0874, "Acc.escalator": 0.4613, "Acc.ottoman": 0.5504, "Acc.bottle": NaN, "Acc.buffet": 0.6034, "Acc.poster": 0.4344, "Acc.stage": 0.2459, "Acc.van": 0.5181, "Acc.ship": 0.8729, "Acc.fountain": 0.2148, "Acc.conveyer belt": 0.9178, "Acc.canopy": 0.3944, "Acc.washer": 0.7738, "Acc.plaything": 0.3154, "Acc.swimming pool": 0.7715, "Acc.stool": 0.5212, "Acc.barrel": 0.683, "Acc.basket": 0.4568, "Acc.waterfall": 0.6305, "Acc.tent": 0.9821, "Acc.bag": 0.1443, "Acc.minibike": 0.8564, "Acc.cradle": NaN, "Acc.oven": 0.6604, "Acc.ball": 0.464, "Acc.food": 0.3851, "Acc.step": 0.0596, "Acc.tank": 0.6141, "Acc.trade name": 0.2794, "Acc.microwave": 0.7953, "Acc.pot": 0.5884, "Acc.animal": NaN, "Acc.bicycle": 0.7753, "Acc.lake": 0.4515, "Acc.dishwasher": 0.6659, "Acc.screen": 0.9148, "Acc.blanket": 0.1508, "Acc.sculpture": 0.7145, "Acc.hood": 0.6629, "Acc.sconce": 0.5725, "Acc.vase": 0.5122, "Acc.traffic light": 0.4011, "Acc.tray": 0.1585, "Acc.ashcan": 0.526, "Acc.fan": 0.7401, "Acc.pier": 0.4498, "Acc.crt screen": 0.0033, "Acc.plate": 0.742, "Acc.monitor": 0.587, "Acc.bulletin board": 0.5128, "Acc.shower": 0.0205, "Acc.radiator": 0.7439, "Acc.glass": 0.1467, "Acc.clock": 0.4985, "Acc.flag": 0.5322} -{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 36160, "data_time": 1.44234, "decode.loss_seg": 0.177, "decode.acc_seg": 73.04852, "aux.loss_seg": 0.09085, "aux.acc_seg": 71.70625, "loss": 0.26785, "time": 1.73976} -{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18489, "decode.acc_seg": 74.3049, "aux.loss_seg": 0.09499, "aux.acc_seg": 72.87202, "loss": 0.27988, "time": 0.30072} -{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.19438, "decode.acc_seg": 73.59722, "aux.loss_seg": 0.09825, "aux.acc_seg": 72.2717, "loss": 0.29263, "time": 0.30012} -{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.19184, "decode.acc_seg": 73.51438, "aux.loss_seg": 0.09651, "aux.acc_seg": 72.21299, "loss": 0.28835, "time": 0.29945} -{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.19576, "decode.acc_seg": 75.73926, "aux.loss_seg": 0.10045, "aux.acc_seg": 74.35096, "loss": 0.2962, "time": 0.29937} -{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.18773, "decode.acc_seg": 75.16971, "aux.loss_seg": 0.09613, "aux.acc_seg": 73.73962, "loss": 0.28385, "time": 0.30052} -{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.18862, "decode.acc_seg": 75.39795, "aux.loss_seg": 0.09558, "aux.acc_seg": 74.00748, "loss": 0.2842, "time": 0.30278} -{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.19675, "decode.acc_seg": 74.80246, "aux.loss_seg": 0.09798, "aux.acc_seg": 73.5114, "loss": 0.29473, "time": 0.30323} -{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.19448, "decode.acc_seg": 74.41006, "aux.loss_seg": 0.09842, "aux.acc_seg": 73.04501, "loss": 0.29291, "time": 0.30298} -{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.19632, "decode.acc_seg": 75.11489, "aux.loss_seg": 0.09828, "aux.acc_seg": 73.69515, "loss": 0.2946, "time": 0.30253} -{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.19362, "decode.acc_seg": 74.04116, "aux.loss_seg": 0.09801, "aux.acc_seg": 72.63053, "loss": 0.29163, "time": 0.30049} -{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.19529, "decode.acc_seg": 75.24225, "aux.loss_seg": 0.10047, "aux.acc_seg": 73.69583, "loss": 0.29576, "time": 0.30137} -{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.17821, "decode.acc_seg": 73.44122, "aux.loss_seg": 0.09196, "aux.acc_seg": 72.048, "loss": 0.27017, "time": 0.30474} -{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.19392, "decode.acc_seg": 74.53155, "aux.loss_seg": 0.09751, "aux.acc_seg": 73.2222, "loss": 0.29144, "time": 0.30344} -{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.18944, "decode.acc_seg": 73.15798, "aux.loss_seg": 0.0963, "aux.acc_seg": 71.75535, "loss": 0.28575, "time": 0.30114} -{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18867, "decode.acc_seg": 74.04856, "aux.loss_seg": 0.09472, "aux.acc_seg": 72.724, "loss": 0.28339, "time": 0.30071} -{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.18375, "decode.acc_seg": 73.67324, "aux.loss_seg": 0.0944, "aux.acc_seg": 72.26792, "loss": 0.27815, "time": 0.30301} -{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.18682, "decode.acc_seg": 73.09809, "aux.loss_seg": 0.09264, "aux.acc_seg": 71.8681, "loss": 0.27946, "time": 0.30387} -{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.18979, "decode.acc_seg": 73.82459, "aux.loss_seg": 0.09572, "aux.acc_seg": 72.52163, "loss": 0.28551, "time": 0.30513} -{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.18231, "decode.acc_seg": 76.68077, "aux.loss_seg": 0.09348, "aux.acc_seg": 75.27126, "loss": 0.27579, "time": 0.30292} -{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.18228, "decode.acc_seg": 73.86599, "aux.loss_seg": 0.0922, "aux.acc_seg": 72.66696, "loss": 0.27449, "time": 0.30244} -{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.18449, "decode.acc_seg": 75.01227, "aux.loss_seg": 0.0947, "aux.acc_seg": 73.68136, "loss": 0.27919, "time": 0.30131} -{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.20219, "decode.acc_seg": 75.1533, "aux.loss_seg": 0.1013, "aux.acc_seg": 73.79062, "loss": 0.30349, "time": 0.30093} -{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.19264, "decode.acc_seg": 74.89532, "aux.loss_seg": 0.09736, "aux.acc_seg": 73.4803, "loss": 0.28999, "time": 0.30416} -{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.18187, "decode.acc_seg": 74.68796, "aux.loss_seg": 0.0929, "aux.acc_seg": 73.37791, "loss": 0.27477, "time": 0.30328} -{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 36160, "data_time": 0.1797, "decode.loss_seg": 0.19404, "decode.acc_seg": 75.24742, "aux.loss_seg": 0.09808, "aux.acc_seg": 73.89469, "loss": 0.29212, "time": 0.47628} -{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.18089, "decode.acc_seg": 74.7548, "aux.loss_seg": 0.09232, "aux.acc_seg": 73.45247, "loss": 0.27321, "time": 0.29959} -{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18224, "decode.acc_seg": 74.19675, "aux.loss_seg": 0.09359, "aux.acc_seg": 72.79123, "loss": 0.27583, "time": 0.30072} -{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.1868, "decode.acc_seg": 73.90109, "aux.loss_seg": 0.09486, "aux.acc_seg": 72.61734, "loss": 0.28166, "time": 0.30037} -{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.17861, "decode.acc_seg": 75.82493, "aux.loss_seg": 0.0914, "aux.acc_seg": 74.48032, "loss": 0.27001, "time": 0.30088} -{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.1878, "decode.acc_seg": 74.48692, "aux.loss_seg": 0.0935, "aux.acc_seg": 73.2213, "loss": 0.28129, "time": 0.30046} -{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.18834, "decode.acc_seg": 73.8588, "aux.loss_seg": 0.09473, "aux.acc_seg": 72.5027, "loss": 0.28308, "time": 0.30172} -{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.19009, "decode.acc_seg": 76.08649, "aux.loss_seg": 0.0993, "aux.acc_seg": 74.46114, "loss": 0.28939, "time": 0.30312} -{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.18007, "decode.acc_seg": 75.27863, "aux.loss_seg": 0.09204, "aux.acc_seg": 73.949, "loss": 0.27211, "time": 0.30341} -{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.19032, "decode.acc_seg": 75.63116, "aux.loss_seg": 0.09604, "aux.acc_seg": 74.25953, "loss": 0.28636, "time": 0.30289} -{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18302, "decode.acc_seg": 74.34802, "aux.loss_seg": 0.09171, "aux.acc_seg": 73.12106, "loss": 0.27472, "time": 0.30208} -{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18193, "decode.acc_seg": 74.55646, "aux.loss_seg": 0.09247, "aux.acc_seg": 73.27603, "loss": 0.2744, "time": 0.30198} -{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.18542, "decode.acc_seg": 74.76241, "aux.loss_seg": 0.09519, "aux.acc_seg": 73.33721, "loss": 0.2806, "time": 0.30242} -{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18455, "decode.acc_seg": 74.62879, "aux.loss_seg": 0.0961, "aux.acc_seg": 73.1638, "loss": 0.28065, "time": 0.3017} -{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.18271, "decode.acc_seg": 75.2156, "aux.loss_seg": 0.09395, "aux.acc_seg": 73.8929, "loss": 0.27666, "time": 0.30237} -{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.18638, "decode.acc_seg": 74.07386, "aux.loss_seg": 0.09615, "aux.acc_seg": 72.61536, "loss": 0.28253, "time": 0.30303} -{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18648, "decode.acc_seg": 75.04114, "aux.loss_seg": 0.09449, "aux.acc_seg": 73.7024, "loss": 0.28098, "time": 0.30186} -{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.17943, "decode.acc_seg": 73.98246, "aux.loss_seg": 0.09323, "aux.acc_seg": 72.55318, "loss": 0.27266, "time": 0.30172} -{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.18184, "decode.acc_seg": 74.45122, "aux.loss_seg": 0.09011, "aux.acc_seg": 73.26209, "loss": 0.27195, "time": 0.30199} -{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.19379, "decode.acc_seg": 74.49821, "aux.loss_seg": 0.09647, "aux.acc_seg": 73.20571, "loss": 0.29026, "time": 0.30109} -{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.17883, "decode.acc_seg": 73.65878, "aux.loss_seg": 0.08963, "aux.acc_seg": 72.43224, "loss": 0.26846, "time": 0.30129} -{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18167, "decode.acc_seg": 74.0191, "aux.loss_seg": 0.09122, "aux.acc_seg": 72.79077, "loss": 0.2729, "time": 0.30153} -{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.17719, "decode.acc_seg": 74.12063, "aux.loss_seg": 0.09035, "aux.acc_seg": 72.89678, "loss": 0.26755, "time": 0.30106} -{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.18773, "decode.acc_seg": 75.67975, "aux.loss_seg": 0.0954, "aux.acc_seg": 74.39562, "loss": 0.28313, "time": 0.30054} -{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18483, "decode.acc_seg": 73.12168, "aux.loss_seg": 0.09474, "aux.acc_seg": 71.72248, "loss": 0.27957, "time": 0.30054} -{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 36160, "data_time": 0.16895, "decode.loss_seg": 0.18456, "decode.acc_seg": 74.99406, "aux.loss_seg": 0.09353, "aux.acc_seg": 73.69476, "loss": 0.27809, "time": 0.46373} -{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.19076, "decode.acc_seg": 75.15524, "aux.loss_seg": 0.09665, "aux.acc_seg": 73.84296, "loss": 0.2874, "time": 0.30096} -{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.18308, "decode.acc_seg": 75.1579, "aux.loss_seg": 0.09137, "aux.acc_seg": 73.95833, "loss": 0.27445, "time": 0.30008} -{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.18855, "decode.acc_seg": 75.17968, "aux.loss_seg": 0.09552, "aux.acc_seg": 73.74461, "loss": 0.28407, "time": 0.29953} -{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.19507, "decode.acc_seg": 75.64038, "aux.loss_seg": 0.09876, "aux.acc_seg": 74.32733, "loss": 0.29383, "time": 0.30115} -{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.18465, "decode.acc_seg": 74.70357, "aux.loss_seg": 0.09403, "aux.acc_seg": 73.34057, "loss": 0.27869, "time": 0.30065} -{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.16805, "decode.acc_seg": 73.19466, "aux.loss_seg": 0.08745, "aux.acc_seg": 71.80984, "loss": 0.2555, "time": 0.3021} -{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.17776, "decode.acc_seg": 74.3443, "aux.loss_seg": 0.09127, "aux.acc_seg": 73.00394, "loss": 0.26903, "time": 0.30155} -{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.17614, "decode.acc_seg": 76.24279, "aux.loss_seg": 0.09049, "aux.acc_seg": 74.96129, "loss": 0.26664, "time": 0.30248} -{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.18054, "decode.acc_seg": 73.54615, "aux.loss_seg": 0.0915, "aux.acc_seg": 72.25713, "loss": 0.27205, "time": 0.30221} -{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.18507, "decode.acc_seg": 74.56719, "aux.loss_seg": 0.094, "aux.acc_seg": 73.2679, "loss": 0.27907, "time": 0.30227} -{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.1815, "decode.acc_seg": 74.25965, "aux.loss_seg": 0.09209, "aux.acc_seg": 72.94063, "loss": 0.27359, "time": 0.30169} -{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.18393, "decode.acc_seg": 73.88249, "aux.loss_seg": 0.09336, "aux.acc_seg": 72.53004, "loss": 0.27729, "time": 0.30273} -{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.18584, "decode.acc_seg": 73.53006, "aux.loss_seg": 0.09354, "aux.acc_seg": 72.27799, "loss": 0.27938, "time": 0.30182} -{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.18444, "decode.acc_seg": 74.67402, "aux.loss_seg": 0.09525, "aux.acc_seg": 73.16742, "loss": 0.27969, "time": 0.29973} -{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.1792, "decode.acc_seg": 75.68203, "aux.loss_seg": 0.09044, "aux.acc_seg": 74.47978, "loss": 0.26964, "time": 0.29997} -{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.18932, "decode.acc_seg": 76.17121, "aux.loss_seg": 0.09548, "aux.acc_seg": 74.80373, "loss": 0.2848, "time": 0.30034} -{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18872, "decode.acc_seg": 74.43654, "aux.loss_seg": 0.09632, "aux.acc_seg": 73.00776, "loss": 0.28504, "time": 0.30233} -{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.18738, "decode.acc_seg": 73.36902, "aux.loss_seg": 0.09574, "aux.acc_seg": 72.05328, "loss": 0.28311, "time": 0.30181} -{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.19775, "decode.acc_seg": 75.6384, "aux.loss_seg": 0.09816, "aux.acc_seg": 74.31758, "loss": 0.29592, "time": 0.30025} -{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.17505, "decode.acc_seg": 75.07261, "aux.loss_seg": 0.08929, "aux.acc_seg": 73.70531, "loss": 0.26434, "time": 0.30087} -{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.17744, "decode.acc_seg": 75.29911, "aux.loss_seg": 0.09034, "aux.acc_seg": 73.98182, "loss": 0.26778, "time": 0.3014} -{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.18992, "decode.acc_seg": 74.38146, "aux.loss_seg": 0.09783, "aux.acc_seg": 72.95779, "loss": 0.28775, "time": 0.30035} -{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.18034, "decode.acc_seg": 74.24163, "aux.loss_seg": 0.09167, "aux.acc_seg": 72.89319, "loss": 0.27201, "time": 0.30103} -{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18131, "decode.acc_seg": 74.85748, "aux.loss_seg": 0.09174, "aux.acc_seg": 73.61944, "loss": 0.27305, "time": 0.30208} -{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 36160, "data_time": 0.16564, "decode.loss_seg": 0.18893, "decode.acc_seg": 74.61843, "aux.loss_seg": 0.09588, "aux.acc_seg": 73.31884, "loss": 0.28482, "time": 0.46168} -{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.1821, "decode.acc_seg": 73.60738, "aux.loss_seg": 0.09251, "aux.acc_seg": 72.26834, "loss": 0.27461, "time": 0.29984} -{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18185, "decode.acc_seg": 74.19951, "aux.loss_seg": 0.09532, "aux.acc_seg": 72.82064, "loss": 0.27717, "time": 0.29902} -{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.18423, "decode.acc_seg": 75.33033, "aux.loss_seg": 0.09331, "aux.acc_seg": 73.96488, "loss": 0.27753, "time": 0.29959} -{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.17946, "decode.acc_seg": 74.80227, "aux.loss_seg": 0.09177, "aux.acc_seg": 73.51206, "loss": 0.27123, "time": 0.29987} -{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.17867, "decode.acc_seg": 74.69262, "aux.loss_seg": 0.09093, "aux.acc_seg": 73.41336, "loss": 0.26961, "time": 0.29975} -{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.18251, "decode.acc_seg": 73.02739, "aux.loss_seg": 0.09255, "aux.acc_seg": 71.6703, "loss": 0.27506, "time": 0.30147} -{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.17878, "decode.acc_seg": 74.56439, "aux.loss_seg": 0.09161, "aux.acc_seg": 73.28748, "loss": 0.27039, "time": 0.30062} -{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.18127, "decode.acc_seg": 75.26539, "aux.loss_seg": 0.09289, "aux.acc_seg": 73.8624, "loss": 0.27416, "time": 0.3013} -{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.18755, "decode.acc_seg": 74.53623, "aux.loss_seg": 0.09521, "aux.acc_seg": 73.1294, "loss": 0.28277, "time": 0.30166} -{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.17974, "decode.acc_seg": 74.19932, "aux.loss_seg": 0.0917, "aux.acc_seg": 72.87935, "loss": 0.27143, "time": 0.30223} -{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.18112, "decode.acc_seg": 74.05858, "aux.loss_seg": 0.09295, "aux.acc_seg": 72.74001, "loss": 0.27407, "time": 0.30185} -{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.16955, "decode.acc_seg": 74.75355, "aux.loss_seg": 0.08688, "aux.acc_seg": 73.383, "loss": 0.25643, "time": 0.30223} -{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.19362, "decode.acc_seg": 74.24604, "aux.loss_seg": 0.09729, "aux.acc_seg": 72.9989, "loss": 0.29091, "time": 0.30268} -{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.17953, "decode.acc_seg": 73.4834, "aux.loss_seg": 0.09144, "aux.acc_seg": 72.21814, "loss": 0.27097, "time": 0.30199} -{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.18206, "decode.acc_seg": 74.64308, "aux.loss_seg": 0.08988, "aux.acc_seg": 73.47308, "loss": 0.27194, "time": 0.30216} -{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.1784, "decode.acc_seg": 74.30163, "aux.loss_seg": 0.09124, "aux.acc_seg": 72.95747, "loss": 0.26965, "time": 0.30242} -{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.17839, "decode.acc_seg": 74.17663, "aux.loss_seg": 0.09331, "aux.acc_seg": 72.70895, "loss": 0.2717, "time": 0.30192} -{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.18018, "decode.acc_seg": 74.91183, "aux.loss_seg": 0.09114, "aux.acc_seg": 73.60971, "loss": 0.27132, "time": 0.30221} -{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.1818, "decode.acc_seg": 74.60173, "aux.loss_seg": 0.09174, "aux.acc_seg": 73.35777, "loss": 0.27354, "time": 0.30199} -{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.18564, "decode.acc_seg": 73.76672, "aux.loss_seg": 0.09584, "aux.acc_seg": 72.34572, "loss": 0.28148, "time": 0.3019} -{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.18315, "decode.acc_seg": 75.2641, "aux.loss_seg": 0.09304, "aux.acc_seg": 73.96921, "loss": 0.27619, "time": 0.30147} -{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.18888, "decode.acc_seg": 77.0423, "aux.loss_seg": 0.09492, "aux.acc_seg": 75.72632, "loss": 0.2838, "time": 0.30053} -{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.18947, "decode.acc_seg": 74.63752, "aux.loss_seg": 0.09696, "aux.acc_seg": 73.261, "loss": 0.28643, "time": 0.30222} -{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.18115, "decode.acc_seg": 73.81653, "aux.loss_seg": 0.09159, "aux.acc_seg": 72.48255, "loss": 0.27274, "time": 0.30238} -{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 36160, "data_time": 0.173, "decode.loss_seg": 0.19043, "decode.acc_seg": 73.88899, "aux.loss_seg": 0.09714, "aux.acc_seg": 72.46281, "loss": 0.28757, "time": 0.46881} -{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.187, "decode.acc_seg": 74.62565, "aux.loss_seg": 0.09531, "aux.acc_seg": 73.33374, "loss": 0.28231, "time": 0.29998} -{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.18417, "decode.acc_seg": 73.59238, "aux.loss_seg": 0.09356, "aux.acc_seg": 72.27259, "loss": 0.27773, "time": 0.30007} -{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.18548, "decode.acc_seg": 75.11074, "aux.loss_seg": 0.09424, "aux.acc_seg": 73.74747, "loss": 0.27973, "time": 0.30114} -{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.18455, "decode.acc_seg": 76.31841, "aux.loss_seg": 0.09328, "aux.acc_seg": 75.05815, "loss": 0.27783, "time": 0.30108} -{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.1798, "decode.acc_seg": 75.30167, "aux.loss_seg": 0.09148, "aux.acc_seg": 74.01033, "loss": 0.27127, "time": 0.30101} -{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.1869, "decode.acc_seg": 74.48644, "aux.loss_seg": 0.09369, "aux.acc_seg": 73.21899, "loss": 0.28059, "time": 0.30276} -{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.1911, "decode.acc_seg": 73.77558, "aux.loss_seg": 0.09711, "aux.acc_seg": 72.45203, "loss": 0.28821, "time": 0.30265} -{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.18724, "decode.acc_seg": 74.91881, "aux.loss_seg": 0.09628, "aux.acc_seg": 73.46365, "loss": 0.28352, "time": 0.30075} -{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.17963, "decode.acc_seg": 73.60809, "aux.loss_seg": 0.09005, "aux.acc_seg": 72.41634, "loss": 0.26968, "time": 0.30142} -{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.17903, "decode.acc_seg": 74.79066, "aux.loss_seg": 0.08955, "aux.acc_seg": 73.62771, "loss": 0.26858, "time": 0.30152} -{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.18505, "decode.acc_seg": 74.64857, "aux.loss_seg": 0.09396, "aux.acc_seg": 73.25771, "loss": 0.27901, "time": 0.30107} -{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.18217, "decode.acc_seg": 75.40174, "aux.loss_seg": 0.0926, "aux.acc_seg": 74.03822, "loss": 0.27477, "time": 0.30254} -{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.17869, "decode.acc_seg": 74.75408, "aux.loss_seg": 0.09205, "aux.acc_seg": 73.37259, "loss": 0.27074, "time": 0.30207} -{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.17494, "decode.acc_seg": 74.88398, "aux.loss_seg": 0.09065, "aux.acc_seg": 73.56991, "loss": 0.2656, "time": 0.3011} -{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.1788, "decode.acc_seg": 73.22169, "aux.loss_seg": 0.09234, "aux.acc_seg": 71.92566, "loss": 0.27114, "time": 0.30024} -{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.1848, "decode.acc_seg": 74.03783, "aux.loss_seg": 0.09377, "aux.acc_seg": 72.701, "loss": 0.27858, "time": 0.30027} -{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.17445, "decode.acc_seg": 76.16255, "aux.loss_seg": 0.09098, "aux.acc_seg": 74.72166, "loss": 0.26544, "time": 0.30137} -{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.18381, "decode.acc_seg": 74.5123, "aux.loss_seg": 0.09353, "aux.acc_seg": 73.17077, "loss": 0.27734, "time": 0.30068} -{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.18677, "decode.acc_seg": 73.39385, "aux.loss_seg": 0.09546, "aux.acc_seg": 72.0041, "loss": 0.28223, "time": 0.30127} -{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.1816, "decode.acc_seg": 76.63184, "aux.loss_seg": 0.09323, "aux.acc_seg": 75.26286, "loss": 0.27483, "time": 0.29991} -{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.18598, "decode.acc_seg": 73.3089, "aux.loss_seg": 0.09408, "aux.acc_seg": 71.96618, "loss": 0.28006, "time": 0.30156} -{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.18384, "decode.acc_seg": 75.88329, "aux.loss_seg": 0.09461, "aux.acc_seg": 74.45023, "loss": 0.27845, "time": 0.30146} -{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.17875, "decode.acc_seg": 75.1381, "aux.loss_seg": 0.0919, "aux.acc_seg": 73.84285, "loss": 0.27065, "time": 0.30321} -{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.19334, "decode.acc_seg": 75.02731, "aux.loss_seg": 0.09889, "aux.acc_seg": 73.6474, "loss": 0.29223, "time": 0.3031} -{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.17759, "decode.acc_seg": 74.11726, "aux.loss_seg": 0.08913, "aux.acc_seg": 72.9643, "loss": 0.26672, "time": 0.30173} -{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 36160, "data_time": 0.18772, "decode.loss_seg": 0.17566, "decode.acc_seg": 75.67783, "aux.loss_seg": 0.09004, "aux.acc_seg": 74.32341, "loss": 0.2657, "time": 0.48504} -{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.18108, "decode.acc_seg": 75.9693, "aux.loss_seg": 0.09517, "aux.acc_seg": 74.42838, "loss": 0.27625, "time": 0.30034} -{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.17979, "decode.acc_seg": 74.11571, "aux.loss_seg": 0.09207, "aux.acc_seg": 72.73042, "loss": 0.27186, "time": 0.30072} -{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.17734, "decode.acc_seg": 73.9104, "aux.loss_seg": 0.09201, "aux.acc_seg": 72.48629, "loss": 0.26935, "time": 0.30073} -{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.17377, "decode.acc_seg": 74.43575, "aux.loss_seg": 0.09068, "aux.acc_seg": 72.99277, "loss": 0.26444, "time": 0.30158} -{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.18473, "decode.acc_seg": 75.06581, "aux.loss_seg": 0.09486, "aux.acc_seg": 73.65987, "loss": 0.27959, "time": 0.30228} -{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.16635, "decode.acc_seg": 74.60256, "aux.loss_seg": 0.08751, "aux.acc_seg": 73.26777, "loss": 0.25386, "time": 0.30244} -{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.18683, "decode.acc_seg": 74.055, "aux.loss_seg": 0.09586, "aux.acc_seg": 72.60453, "loss": 0.28269, "time": 0.30108} -{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.18554, "decode.acc_seg": 74.7777, "aux.loss_seg": 0.09343, "aux.acc_seg": 73.40041, "loss": 0.27897, "time": 0.30285} -{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.17359, "decode.acc_seg": 75.40247, "aux.loss_seg": 0.08862, "aux.acc_seg": 74.03932, "loss": 0.26221, "time": 0.30234} -{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.18897, "decode.acc_seg": 76.16014, "aux.loss_seg": 0.0959, "aux.acc_seg": 74.75386, "loss": 0.28487, "time": 0.30144} -{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.17844, "decode.acc_seg": 75.02476, "aux.loss_seg": 0.09039, "aux.acc_seg": 73.74499, "loss": 0.26884, "time": 0.30163} -{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.17575, "decode.acc_seg": 74.37478, "aux.loss_seg": 0.09024, "aux.acc_seg": 73.04596, "loss": 0.26598, "time": 0.30214} -{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.18827, "decode.acc_seg": 74.85802, "aux.loss_seg": 0.09656, "aux.acc_seg": 73.41498, "loss": 0.28482, "time": 0.30273} -{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.17626, "decode.acc_seg": 75.20568, "aux.loss_seg": 0.09022, "aux.acc_seg": 73.83385, "loss": 0.26648, "time": 0.30373} -{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.16735, "decode.acc_seg": 74.78976, "aux.loss_seg": 0.0857, "aux.acc_seg": 73.52794, "loss": 0.25304, "time": 0.30393} -{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.18252, "decode.acc_seg": 75.09199, "aux.loss_seg": 0.0925, "aux.acc_seg": 73.79046, "loss": 0.27502, "time": 0.30325} -{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.19399, "decode.acc_seg": 74.84889, "aux.loss_seg": 0.09862, "aux.acc_seg": 73.48673, "loss": 0.29261, "time": 0.30234} -{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.1814, "decode.acc_seg": 75.40247, "aux.loss_seg": 0.0936, "aux.acc_seg": 74.01305, "loss": 0.27501, "time": 0.3033} -{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.16942, "decode.acc_seg": 75.24755, "aux.loss_seg": 0.08727, "aux.acc_seg": 73.94156, "loss": 0.25669, "time": 0.30255} -{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.18387, "decode.acc_seg": 73.95556, "aux.loss_seg": 0.09374, "aux.acc_seg": 72.60159, "loss": 0.27761, "time": 0.30171} -{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.187, "decode.acc_seg": 75.0386, "aux.loss_seg": 0.09706, "aux.acc_seg": 73.56728, "loss": 0.28406, "time": 0.30414} -{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 36160, "data_time": 0.00639, "decode.loss_seg": 0.18083, "decode.acc_seg": 74.25416, "aux.loss_seg": 0.09311, "aux.acc_seg": 72.76881, "loss": 0.27394, "time": 0.30301} -{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.18564, "decode.acc_seg": 75.46714, "aux.loss_seg": 0.09488, "aux.acc_seg": 74.09869, "loss": 0.28052, "time": 0.30335} -{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.186, "decode.acc_seg": 74.46926, "aux.loss_seg": 0.09476, "aux.acc_seg": 73.24441, "loss": 0.28076, "time": 0.30236} -{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 36160, "data_time": 0.14726, "decode.loss_seg": 0.18781, "decode.acc_seg": 73.29255, "aux.loss_seg": 0.09561, "aux.acc_seg": 71.82491, "loss": 0.28342, "time": 0.47105} -{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.17619, "decode.acc_seg": 76.08124, "aux.loss_seg": 0.09219, "aux.acc_seg": 74.6171, "loss": 0.26837, "time": 0.30204} -{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.17821, "decode.acc_seg": 75.13186, "aux.loss_seg": 0.08933, "aux.acc_seg": 73.94806, "loss": 0.26754, "time": 0.30336} -{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.17565, "decode.acc_seg": 74.58066, "aux.loss_seg": 0.09189, "aux.acc_seg": 73.16746, "loss": 0.26754, "time": 0.30264} -{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.1771, "decode.acc_seg": 76.708, "aux.loss_seg": 0.09093, "aux.acc_seg": 75.3677, "loss": 0.26803, "time": 0.30319} -{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.19025, "decode.acc_seg": 75.55857, "aux.loss_seg": 0.09526, "aux.acc_seg": 74.29336, "loss": 0.28551, "time": 0.303} -{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.17811, "decode.acc_seg": 74.90356, "aux.loss_seg": 0.08988, "aux.acc_seg": 73.59999, "loss": 0.268, "time": 0.30367} -{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.189, "decode.acc_seg": 74.20022, "aux.loss_seg": 0.09735, "aux.acc_seg": 72.75714, "loss": 0.28634, "time": 0.3021} -{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.1854, "decode.acc_seg": 75.22681, "aux.loss_seg": 0.09471, "aux.acc_seg": 73.87661, "loss": 0.28011, "time": 0.30144} -{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.17411, "decode.acc_seg": 75.67048, "aux.loss_seg": 0.09033, "aux.acc_seg": 74.3276, "loss": 0.26444, "time": 0.30272} -{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 36160, "data_time": 0.00545, "decode.loss_seg": 0.18065, "decode.acc_seg": 73.67463, "aux.loss_seg": 0.09361, "aux.acc_seg": 72.34978, "loss": 0.27426, "time": 0.30184} -{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.1704, "decode.acc_seg": 75.50895, "aux.loss_seg": 0.08751, "aux.acc_seg": 74.1652, "loss": 0.25791, "time": 0.30234} -{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.18623, "decode.acc_seg": 75.7746, "aux.loss_seg": 0.09436, "aux.acc_seg": 74.41842, "loss": 0.28059, "time": 0.30283} -{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.17522, "decode.acc_seg": 75.12387, "aux.loss_seg": 0.08989, "aux.acc_seg": 73.71637, "loss": 0.26512, "time": 0.30267} -{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.17302, "decode.acc_seg": 74.57398, "aux.loss_seg": 0.08901, "aux.acc_seg": 73.21506, "loss": 0.26203, "time": 0.30378} -{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.17746, "decode.acc_seg": 75.44636, "aux.loss_seg": 0.09106, "aux.acc_seg": 74.08942, "loss": 0.26852, "time": 0.30291} -{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.17599, "decode.acc_seg": 74.54811, "aux.loss_seg": 0.08963, "aux.acc_seg": 73.31791, "loss": 0.26562, "time": 0.30082} -{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.1838, "decode.acc_seg": 73.1246, "aux.loss_seg": 0.09341, "aux.acc_seg": 71.86905, "loss": 0.27721, "time": 0.30183} -{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.17667, "decode.acc_seg": 75.60077, "aux.loss_seg": 0.09065, "aux.acc_seg": 74.28539, "loss": 0.26732, "time": 0.30152} -{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.17722, "decode.acc_seg": 74.7925, "aux.loss_seg": 0.09217, "aux.acc_seg": 73.3163, "loss": 0.26939, "time": 0.30151} -{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.17406, "decode.acc_seg": 73.8166, "aux.loss_seg": 0.0886, "aux.acc_seg": 72.58058, "loss": 0.26266, "time": 0.30102} -{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.18328, "decode.acc_seg": 74.19817, "aux.loss_seg": 0.09349, "aux.acc_seg": 72.8674, "loss": 0.27676, "time": 0.30103} -{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.18592, "decode.acc_seg": 74.02718, "aux.loss_seg": 0.09511, "aux.acc_seg": 72.70671, "loss": 0.28103, "time": 0.30103} -{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.1746, "decode.acc_seg": 73.90801, "aux.loss_seg": 0.08941, "aux.acc_seg": 72.55732, "loss": 0.264, "time": 0.30109} -{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.18029, "decode.acc_seg": 75.65853, "aux.loss_seg": 0.09185, "aux.acc_seg": 74.34095, "loss": 0.27214, "time": 0.30118} -{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 36160, "data_time": 0.1706, "decode.loss_seg": 0.17136, "decode.acc_seg": 75.10588, "aux.loss_seg": 0.08781, "aux.acc_seg": 73.80678, "loss": 0.25917, "time": 0.4669} -{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.18119, "decode.acc_seg": 75.28052, "aux.loss_seg": 0.09213, "aux.acc_seg": 73.93315, "loss": 0.27331, "time": 0.30147} -{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.18367, "decode.acc_seg": 76.19739, "aux.loss_seg": 0.09489, "aux.acc_seg": 74.70736, "loss": 0.27856, "time": 0.29957} -{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.1809, "decode.acc_seg": 74.03832, "aux.loss_seg": 0.09109, "aux.acc_seg": 72.75045, "loss": 0.27199, "time": 0.30103} -{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 36160, "data_time": 0.00637, "decode.loss_seg": 0.17847, "decode.acc_seg": 74.71846, "aux.loss_seg": 0.09174, "aux.acc_seg": 73.30866, "loss": 0.2702, "time": 0.30023} -{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.18264, "decode.acc_seg": 74.1817, "aux.loss_seg": 0.09386, "aux.acc_seg": 72.88012, "loss": 0.27649, "time": 0.30094} -{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.18666, "decode.acc_seg": 74.57652, "aux.loss_seg": 0.09406, "aux.acc_seg": 73.19783, "loss": 0.28072, "time": 0.3001} -{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.18205, "decode.acc_seg": 73.98268, "aux.loss_seg": 0.09225, "aux.acc_seg": 72.73989, "loss": 0.2743, "time": 0.30323} -{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.16709, "decode.acc_seg": 74.10562, "aux.loss_seg": 0.08556, "aux.acc_seg": 72.83844, "loss": 0.25264, "time": 0.30192} -{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 36160, "data_time": 0.00628, "decode.loss_seg": 0.17659, "decode.acc_seg": 74.07853, "aux.loss_seg": 0.09082, "aux.acc_seg": 72.65082, "loss": 0.26741, "time": 0.30094} -{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.17702, "decode.acc_seg": 75.51137, "aux.loss_seg": 0.09081, "aux.acc_seg": 74.1607, "loss": 0.26783, "time": 0.30122} -{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.17789, "decode.acc_seg": 75.6259, "aux.loss_seg": 0.09039, "aux.acc_seg": 74.36443, "loss": 0.26827, "time": 0.30304} -{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.17894, "decode.acc_seg": 74.80296, "aux.loss_seg": 0.09118, "aux.acc_seg": 73.5222, "loss": 0.27012, "time": 0.30185} -{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.17168, "decode.acc_seg": 74.27594, "aux.loss_seg": 0.08782, "aux.acc_seg": 72.94562, "loss": 0.25949, "time": 0.30188} -{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.17795, "decode.acc_seg": 74.01133, "aux.loss_seg": 0.0908, "aux.acc_seg": 72.72555, "loss": 0.26875, "time": 0.30253} -{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.17273, "decode.acc_seg": 76.5864, "aux.loss_seg": 0.08841, "aux.acc_seg": 75.24111, "loss": 0.26114, "time": 0.30418} -{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.17959, "decode.acc_seg": 74.99254, "aux.loss_seg": 0.09224, "aux.acc_seg": 73.65663, "loss": 0.27183, "time": 0.30282} -{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.17371, "decode.acc_seg": 74.69835, "aux.loss_seg": 0.08825, "aux.acc_seg": 73.48099, "loss": 0.26195, "time": 0.30357} -{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.17585, "decode.acc_seg": 74.57993, "aux.loss_seg": 0.09053, "aux.acc_seg": 73.28985, "loss": 0.26638, "time": 0.30259} -{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.18037, "decode.acc_seg": 76.32823, "aux.loss_seg": 0.09319, "aux.acc_seg": 74.94305, "loss": 0.27356, "time": 0.30223} -{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.1712, "decode.acc_seg": 74.38742, "aux.loss_seg": 0.08764, "aux.acc_seg": 73.15686, "loss": 0.25883, "time": 0.30294} -{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.18044, "decode.acc_seg": 74.90687, "aux.loss_seg": 0.0921, "aux.acc_seg": 73.50014, "loss": 0.27253, "time": 0.30322} -{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.18043, "decode.acc_seg": 74.91678, "aux.loss_seg": 0.09402, "aux.acc_seg": 73.443, "loss": 0.27446, "time": 0.30311} -{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17468, "decode.acc_seg": 74.60803, "aux.loss_seg": 0.08962, "aux.acc_seg": 73.27446, "loss": 0.2643, "time": 0.30215} -{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.16938, "decode.acc_seg": 73.51361, "aux.loss_seg": 0.08867, "aux.acc_seg": 72.13913, "loss": 0.25805, "time": 0.30263} -{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 36160, "data_time": 0.16651, "decode.loss_seg": 0.17707, "decode.acc_seg": 74.37397, "aux.loss_seg": 0.09191, "aux.acc_seg": 72.94077, "loss": 0.26898, "time": 0.46266} -{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.18461, "decode.acc_seg": 75.22144, "aux.loss_seg": 0.09305, "aux.acc_seg": 73.98937, "loss": 0.27767, "time": 0.30254} -{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.17806, "decode.acc_seg": 73.97575, "aux.loss_seg": 0.08997, "aux.acc_seg": 72.71823, "loss": 0.26803, "time": 0.30186} -{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.17678, "decode.acc_seg": 74.77151, "aux.loss_seg": 0.08928, "aux.acc_seg": 73.50729, "loss": 0.26605, "time": 0.30157} -{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.18126, "decode.acc_seg": 75.31707, "aux.loss_seg": 0.09223, "aux.acc_seg": 73.92572, "loss": 0.27349, "time": 0.30119} -{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.18254, "decode.acc_seg": 74.62622, "aux.loss_seg": 0.09159, "aux.acc_seg": 73.2804, "loss": 0.27413, "time": 0.30086} -{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17128, "decode.acc_seg": 74.75608, "aux.loss_seg": 0.08756, "aux.acc_seg": 73.41916, "loss": 0.25885, "time": 0.30405} -{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.17141, "decode.acc_seg": 74.91053, "aux.loss_seg": 0.0876, "aux.acc_seg": 73.68039, "loss": 0.259, "time": 0.30188} -{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.1676, "decode.acc_seg": 74.26218, "aux.loss_seg": 0.08687, "aux.acc_seg": 72.90589, "loss": 0.25448, "time": 0.30165} -{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.18084, "decode.acc_seg": 74.29471, "aux.loss_seg": 0.09231, "aux.acc_seg": 72.97312, "loss": 0.27315, "time": 0.30523} -{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17915, "decode.acc_seg": 74.7943, "aux.loss_seg": 0.09158, "aux.acc_seg": 73.46614, "loss": 0.27073, "time": 0.30391} -{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.17369, "decode.acc_seg": 75.19369, "aux.loss_seg": 0.08949, "aux.acc_seg": 73.80541, "loss": 0.26318, "time": 0.3011} -{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.17739, "decode.acc_seg": 75.43436, "aux.loss_seg": 0.09173, "aux.acc_seg": 74.11771, "loss": 0.26912, "time": 0.30281} -{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.17855, "decode.acc_seg": 75.43874, "aux.loss_seg": 0.09101, "aux.acc_seg": 74.14761, "loss": 0.26956, "time": 0.30114} -{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.1734, "decode.acc_seg": 74.26586, "aux.loss_seg": 0.08999, "aux.acc_seg": 72.83745, "loss": 0.26339, "time": 0.30067} -{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.16836, "decode.acc_seg": 75.28583, "aux.loss_seg": 0.08607, "aux.acc_seg": 73.99018, "loss": 0.25443, "time": 0.3006} -{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.17436, "decode.acc_seg": 74.44265, "aux.loss_seg": 0.08911, "aux.acc_seg": 73.11903, "loss": 0.26348, "time": 0.30189} -{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.18274, "decode.acc_seg": 74.26766, "aux.loss_seg": 0.09288, "aux.acc_seg": 72.95318, "loss": 0.27562, "time": 0.30187} -{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.17044, "decode.acc_seg": 74.75599, "aux.loss_seg": 0.08884, "aux.acc_seg": 73.44374, "loss": 0.25927, "time": 0.30227} -{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.1746, "decode.acc_seg": 73.67622, "aux.loss_seg": 0.08898, "aux.acc_seg": 72.43845, "loss": 0.26358, "time": 0.30359} -{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.1935, "decode.acc_seg": 75.40142, "aux.loss_seg": 0.09549, "aux.acc_seg": 74.13263, "loss": 0.28899, "time": 0.30294} -{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.18069, "decode.acc_seg": 74.16884, "aux.loss_seg": 0.0923, "aux.acc_seg": 72.84492, "loss": 0.27299, "time": 0.3044} -{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.1719, "decode.acc_seg": 76.31024, "aux.loss_seg": 0.08703, "aux.acc_seg": 75.1242, "loss": 0.25893, "time": 0.30117} -{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.17945, "decode.acc_seg": 74.90208, "aux.loss_seg": 0.09237, "aux.acc_seg": 73.54561, "loss": 0.27181, "time": 0.30097} -{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.16997, "decode.acc_seg": 75.18831, "aux.loss_seg": 0.08654, "aux.acc_seg": 73.97418, "loss": 0.25651, "time": 0.30185} -{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.17624, "decode.acc_seg": 73.58607, "aux.loss_seg": 0.09029, "aux.acc_seg": 72.2101, "loss": 0.26653, "time": 0.30177} -{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 36160, "data_time": 0.16514, "decode.loss_seg": 0.18205, "decode.acc_seg": 74.53943, "aux.loss_seg": 0.0927, "aux.acc_seg": 73.15203, "loss": 0.27475, "time": 0.46106} -{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.17276, "decode.acc_seg": 74.52846, "aux.loss_seg": 0.08946, "aux.acc_seg": 73.22479, "loss": 0.26222, "time": 0.30059} -{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.17586, "decode.acc_seg": 73.43514, "aux.loss_seg": 0.09153, "aux.acc_seg": 72.08178, "loss": 0.26739, "time": 0.30008} -{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.17555, "decode.acc_seg": 75.40002, "aux.loss_seg": 0.091, "aux.acc_seg": 73.94832, "loss": 0.26656, "time": 0.2999} -{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.17395, "decode.acc_seg": 76.26196, "aux.loss_seg": 0.09111, "aux.acc_seg": 74.80216, "loss": 0.26506, "time": 0.30111} -{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.1726, "decode.acc_seg": 73.42051, "aux.loss_seg": 0.08895, "aux.acc_seg": 72.06839, "loss": 0.26155, "time": 0.30276} -{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17394, "decode.acc_seg": 75.24104, "aux.loss_seg": 0.0891, "aux.acc_seg": 73.95408, "loss": 0.26304, "time": 0.3007} -{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.171, "decode.acc_seg": 73.87986, "aux.loss_seg": 0.0876, "aux.acc_seg": 72.69438, "loss": 0.2586, "time": 0.30009} -{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.16409, "decode.acc_seg": 75.82118, "aux.loss_seg": 0.08382, "aux.acc_seg": 74.60362, "loss": 0.24791, "time": 0.29875} -{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.17962, "decode.acc_seg": 74.87719, "aux.loss_seg": 0.09249, "aux.acc_seg": 73.4892, "loss": 0.27211, "time": 0.29992} -{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17391, "decode.acc_seg": 75.68429, "aux.loss_seg": 0.09023, "aux.acc_seg": 74.31326, "loss": 0.26414, "time": 0.29996} -{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16931, "decode.acc_seg": 76.5133, "aux.loss_seg": 0.08549, "aux.acc_seg": 75.30881, "loss": 0.25481, "time": 0.30011} -{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.18192, "decode.acc_seg": 74.50388, "aux.loss_seg": 0.09369, "aux.acc_seg": 73.13854, "loss": 0.2756, "time": 0.29951} -{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.16751, "decode.acc_seg": 74.73246, "aux.loss_seg": 0.08567, "aux.acc_seg": 73.45963, "loss": 0.25317, "time": 0.29928} -{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.17275, "decode.acc_seg": 74.23641, "aux.loss_seg": 0.08943, "aux.acc_seg": 72.894, "loss": 0.26218, "time": 0.3007} -{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.1716, "decode.acc_seg": 72.59855, "aux.loss_seg": 0.08842, "aux.acc_seg": 71.20479, "loss": 0.26003, "time": 0.30088} -{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.16657, "decode.acc_seg": 74.65733, "aux.loss_seg": 0.08702, "aux.acc_seg": 73.29025, "loss": 0.25359, "time": 0.30053} -{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.17348, "decode.acc_seg": 74.68058, "aux.loss_seg": 0.08933, "aux.acc_seg": 73.38228, "loss": 0.26281, "time": 0.30121} -{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.15976, "decode.acc_seg": 76.06218, "aux.loss_seg": 0.08353, "aux.acc_seg": 74.72208, "loss": 0.2433, "time": 0.30222} -{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.17072, "decode.acc_seg": 74.3764, "aux.loss_seg": 0.08709, "aux.acc_seg": 73.15685, "loss": 0.25781, "time": 0.30277} -{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.17759, "decode.acc_seg": 74.63682, "aux.loss_seg": 0.09097, "aux.acc_seg": 73.38001, "loss": 0.26856, "time": 0.30227} -{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.16853, "decode.acc_seg": 75.7217, "aux.loss_seg": 0.08752, "aux.acc_seg": 74.35602, "loss": 0.25605, "time": 0.30189} -{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.17184, "decode.acc_seg": 75.01646, "aux.loss_seg": 0.08754, "aux.acc_seg": 73.75076, "loss": 0.25937, "time": 0.30153} -{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.17752, "decode.acc_seg": 76.46831, "aux.loss_seg": 0.09139, "aux.acc_seg": 75.18715, "loss": 0.2689, "time": 0.3019} -{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.16639, "decode.acc_seg": 74.65468, "aux.loss_seg": 0.08676, "aux.acc_seg": 73.232, "loss": 0.25314, "time": 0.30051} -{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 36160, "data_time": 0.17687, "decode.loss_seg": 0.17245, "decode.acc_seg": 74.18523, "aux.loss_seg": 0.08738, "aux.acc_seg": 72.88302, "loss": 0.25983, "time": 0.47147} -{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 36160, "data_time": 0.00606, "decode.loss_seg": 0.16602, "decode.acc_seg": 75.35985, "aux.loss_seg": 0.08661, "aux.acc_seg": 73.98729, "loss": 0.25263, "time": 0.30426} -{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.17925, "decode.acc_seg": 75.07936, "aux.loss_seg": 0.09031, "aux.acc_seg": 73.83936, "loss": 0.26957, "time": 0.30134} -{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.17151, "decode.acc_seg": 75.58756, "aux.loss_seg": 0.08781, "aux.acc_seg": 74.23217, "loss": 0.25931, "time": 0.30079} -{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.17291, "decode.acc_seg": 73.61713, "aux.loss_seg": 0.0889, "aux.acc_seg": 72.26053, "loss": 0.26181, "time": 0.30005} -{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.17845, "decode.acc_seg": 75.62859, "aux.loss_seg": 0.09108, "aux.acc_seg": 74.32754, "loss": 0.26953, "time": 0.30006} -{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.18406, "decode.acc_seg": 73.79902, "aux.loss_seg": 0.09293, "aux.acc_seg": 72.52887, "loss": 0.27699, "time": 0.3033} -{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.17196, "decode.acc_seg": 73.98705, "aux.loss_seg": 0.08756, "aux.acc_seg": 72.65586, "loss": 0.25952, "time": 0.30184} -{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.17648, "decode.acc_seg": 74.57055, "aux.loss_seg": 0.08951, "aux.acc_seg": 73.28918, "loss": 0.26598, "time": 0.30124} -{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.17463, "decode.acc_seg": 76.12939, "aux.loss_seg": 0.08917, "aux.acc_seg": 74.82314, "loss": 0.2638, "time": 0.30151} -{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.18416, "decode.acc_seg": 73.6324, "aux.loss_seg": 0.09429, "aux.acc_seg": 72.20066, "loss": 0.27845, "time": 0.30215} -{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.17423, "decode.acc_seg": 73.93859, "aux.loss_seg": 0.08966, "aux.acc_seg": 72.64727, "loss": 0.26389, "time": 0.30405} -{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.17453, "decode.acc_seg": 74.81626, "aux.loss_seg": 0.09121, "aux.acc_seg": 73.40976, "loss": 0.26574, "time": 0.30404} -{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.17022, "decode.acc_seg": 75.94152, "aux.loss_seg": 0.08753, "aux.acc_seg": 74.61253, "loss": 0.25774, "time": 0.30241} -{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.17481, "decode.acc_seg": 76.64731, "aux.loss_seg": 0.0902, "aux.acc_seg": 75.25733, "loss": 0.26501, "time": 0.30255} -{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.17134, "decode.acc_seg": 74.99369, "aux.loss_seg": 0.09077, "aux.acc_seg": 73.5228, "loss": 0.2621, "time": 0.30321} -{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.16291, "decode.acc_seg": 75.40988, "aux.loss_seg": 0.08278, "aux.acc_seg": 74.13074, "loss": 0.24569, "time": 0.3039} -{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.16775, "decode.acc_seg": 73.93762, "aux.loss_seg": 0.08539, "aux.acc_seg": 72.66081, "loss": 0.25314, "time": 0.30371} -{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.16299, "decode.acc_seg": 73.33203, "aux.loss_seg": 0.08358, "aux.acc_seg": 72.08154, "loss": 0.24658, "time": 0.30201} -{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.18193, "decode.acc_seg": 74.54875, "aux.loss_seg": 0.09228, "aux.acc_seg": 73.21079, "loss": 0.27421, "time": 0.30344} -{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.16627, "decode.acc_seg": 73.78404, "aux.loss_seg": 0.08512, "aux.acc_seg": 72.50676, "loss": 0.25139, "time": 0.30319} -{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.16971, "decode.acc_seg": 74.72894, "aux.loss_seg": 0.08716, "aux.acc_seg": 73.44179, "loss": 0.25687, "time": 0.30283} -{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.17453, "decode.acc_seg": 75.08458, "aux.loss_seg": 0.09043, "aux.acc_seg": 73.73472, "loss": 0.26496, "time": 0.30256} -{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.16596, "decode.acc_seg": 75.51479, "aux.loss_seg": 0.08478, "aux.acc_seg": 74.27285, "loss": 0.25075, "time": 0.30306} -{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.17618, "decode.acc_seg": 74.28697, "aux.loss_seg": 0.08875, "aux.acc_seg": 72.97148, "loss": 0.26493, "time": 0.30314} -{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 36160, "data_time": 0.16835, "decode.loss_seg": 0.1749, "decode.acc_seg": 75.02341, "aux.loss_seg": 0.09033, "aux.acc_seg": 73.66976, "loss": 0.26523, "time": 0.46446} -{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.16859, "decode.acc_seg": 73.84765, "aux.loss_seg": 0.08611, "aux.acc_seg": 72.64601, "loss": 0.2547, "time": 0.30077} -{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.17391, "decode.acc_seg": 74.47373, "aux.loss_seg": 0.08898, "aux.acc_seg": 73.16975, "loss": 0.26289, "time": 0.30002} -{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.16542, "decode.acc_seg": 75.03189, "aux.loss_seg": 0.08614, "aux.acc_seg": 73.69162, "loss": 0.25156, "time": 0.29978} -{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.16454, "decode.acc_seg": 75.24508, "aux.loss_seg": 0.08603, "aux.acc_seg": 73.8682, "loss": 0.25058, "time": 0.30001} -{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.17149, "decode.acc_seg": 74.40197, "aux.loss_seg": 0.08847, "aux.acc_seg": 73.06092, "loss": 0.25996, "time": 0.30046} -{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.17868, "decode.acc_seg": 76.27308, "aux.loss_seg": 0.0908, "aux.acc_seg": 74.9425, "loss": 0.26948, "time": 0.3} -{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.17064, "decode.acc_seg": 76.52, "aux.loss_seg": 0.08783, "aux.acc_seg": 75.15952, "loss": 0.25847, "time": 0.29995} -{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.16938, "decode.acc_seg": 74.82515, "aux.loss_seg": 0.08787, "aux.acc_seg": 73.45686, "loss": 0.25724, "time": 0.30245} -{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.17087, "decode.acc_seg": 74.93391, "aux.loss_seg": 0.08793, "aux.acc_seg": 73.5765, "loss": 0.2588, "time": 0.30094} -{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.17497, "decode.acc_seg": 76.46935, "aux.loss_seg": 0.09051, "aux.acc_seg": 75.10542, "loss": 0.26548, "time": 0.29977} -{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.16698, "decode.acc_seg": 75.25505, "aux.loss_seg": 0.08612, "aux.acc_seg": 73.86639, "loss": 0.2531, "time": 0.30062} -{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.17643, "decode.acc_seg": 75.28752, "aux.loss_seg": 0.09037, "aux.acc_seg": 73.90959, "loss": 0.2668, "time": 0.30142} -{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.17409, "decode.acc_seg": 75.33455, "aux.loss_seg": 0.09059, "aux.acc_seg": 73.93418, "loss": 0.26468, "time": 0.30275} -{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15858, "decode.acc_seg": 75.57842, "aux.loss_seg": 0.08341, "aux.acc_seg": 74.17294, "loss": 0.24199, "time": 0.30145} -{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.16296, "decode.acc_seg": 75.49694, "aux.loss_seg": 0.08454, "aux.acc_seg": 74.15271, "loss": 0.2475, "time": 0.30145} -{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.17523, "decode.acc_seg": 73.76167, "aux.loss_seg": 0.08955, "aux.acc_seg": 72.4323, "loss": 0.26477, "time": 0.30105} -{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.16837, "decode.acc_seg": 75.06043, "aux.loss_seg": 0.08796, "aux.acc_seg": 73.68037, "loss": 0.25633, "time": 0.30083} -{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.17329, "decode.acc_seg": 74.66972, "aux.loss_seg": 0.08933, "aux.acc_seg": 73.36583, "loss": 0.26263, "time": 0.30231} -{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 36160, "data_time": 0.00619, "decode.loss_seg": 0.17228, "decode.acc_seg": 74.77985, "aux.loss_seg": 0.08807, "aux.acc_seg": 73.47067, "loss": 0.26035, "time": 0.30413} -{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.17309, "decode.acc_seg": 74.58219, "aux.loss_seg": 0.0904, "aux.acc_seg": 73.12928, "loss": 0.26349, "time": 0.30307} -{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.16676, "decode.acc_seg": 74.32073, "aux.loss_seg": 0.08741, "aux.acc_seg": 72.83221, "loss": 0.25416, "time": 0.30258} -{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.17408, "decode.acc_seg": 75.96017, "aux.loss_seg": 0.09061, "aux.acc_seg": 74.58879, "loss": 0.26469, "time": 0.30226} -{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.17352, "decode.acc_seg": 73.75882, "aux.loss_seg": 0.08961, "aux.acc_seg": 72.47823, "loss": 0.26313, "time": 0.30112} -{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.17513, "decode.acc_seg": 75.58071, "aux.loss_seg": 0.09064, "aux.acc_seg": 74.26981, "loss": 0.26577, "time": 0.30282} -{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 36160, "data_time": 0.16967, "decode.loss_seg": 0.17959, "decode.acc_seg": 75.29586, "aux.loss_seg": 0.09167, "aux.acc_seg": 74.00451, "loss": 0.27126, "time": 0.46541} -{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.16642, "decode.acc_seg": 76.37905, "aux.loss_seg": 0.0862, "aux.acc_seg": 75.0652, "loss": 0.25262, "time": 0.29959} -{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.16791, "decode.acc_seg": 75.98225, "aux.loss_seg": 0.08756, "aux.acc_seg": 74.58509, "loss": 0.25547, "time": 0.29851} -{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.16785, "decode.acc_seg": 73.93167, "aux.loss_seg": 0.08757, "aux.acc_seg": 72.56902, "loss": 0.25542, "time": 0.2994} -{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.16597, "decode.acc_seg": 74.28899, "aux.loss_seg": 0.08571, "aux.acc_seg": 73.01825, "loss": 0.25168, "time": 0.30053} -{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.16905, "decode.acc_seg": 74.73531, "aux.loss_seg": 0.08748, "aux.acc_seg": 73.36674, "loss": 0.25654, "time": 0.30044} -{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.16497, "decode.acc_seg": 74.25004, "aux.loss_seg": 0.0865, "aux.acc_seg": 72.80316, "loss": 0.25146, "time": 0.29996} -{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.17071, "decode.acc_seg": 74.63064, "aux.loss_seg": 0.08714, "aux.acc_seg": 73.30156, "loss": 0.25785, "time": 0.30079} -{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.16992, "decode.acc_seg": 75.9346, "aux.loss_seg": 0.08656, "aux.acc_seg": 74.60917, "loss": 0.25648, "time": 0.30097} -{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.18074, "decode.acc_seg": 75.77011, "aux.loss_seg": 0.09275, "aux.acc_seg": 74.43273, "loss": 0.27349, "time": 0.30156} -{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.16768, "decode.acc_seg": 74.82913, "aux.loss_seg": 0.08524, "aux.acc_seg": 73.5495, "loss": 0.25292, "time": 0.30176} -{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.16608, "decode.acc_seg": 76.2046, "aux.loss_seg": 0.08642, "aux.acc_seg": 74.89435, "loss": 0.2525, "time": 0.30055} -{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.16391, "decode.acc_seg": 75.58089, "aux.loss_seg": 0.08631, "aux.acc_seg": 74.23379, "loss": 0.25023, "time": 0.3023} -{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.16436, "decode.acc_seg": 75.57645, "aux.loss_seg": 0.08585, "aux.acc_seg": 74.21441, "loss": 0.25021, "time": 0.30133} -{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.16711, "decode.acc_seg": 76.90228, "aux.loss_seg": 0.08816, "aux.acc_seg": 75.48281, "loss": 0.25527, "time": 0.30182} -{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.16471, "decode.acc_seg": 74.61492, "aux.loss_seg": 0.08492, "aux.acc_seg": 73.27917, "loss": 0.24962, "time": 0.30182} -{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.17712, "decode.acc_seg": 75.28509, "aux.loss_seg": 0.0915, "aux.acc_seg": 73.94824, "loss": 0.26861, "time": 0.30236} -{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4858, "mAcc": 0.6034, "aAcc": 0.8236, "IoU.wall": 0.7677, "IoU.building": 0.8084, "IoU.sky": 0.9365, "IoU.floor": 0.8073, "IoU.tree": 0.7312, "IoU.ceiling": 0.835, "IoU.road": 0.8076, "IoU.bed ": 0.8746, "IoU.windowpane": 0.5946, "IoU.grass": 0.7082, "IoU.cabinet": 0.6142, "IoU.sidewalk": 0.6263, "IoU.person": 0.7801, "IoU.earth": 0.3668, "IoU.door": 0.4396, "IoU.table": 0.5882, "IoU.mountain": 0.5677, "IoU.plant": 0.5187, "IoU.curtain": 0.704, "IoU.chair": 0.5643, "IoU.car": 0.8289, "IoU.water": 0.5244, "IoU.painting": 0.7098, "IoU.sofa": 0.6163, "IoU.shelf": 0.4209, "IoU.house": 0.3902, "IoU.sea": 0.554, "IoU.mirror": 0.6281, "IoU.rug": 0.6356, "IoU.field": 0.3454, "IoU.armchair": 0.3844, "IoU.seat": 0.5789, "IoU.fence": 0.4435, "IoU.desk": 0.4904, "IoU.rock": 0.3397, "IoU.wardrobe": 0.4955, "IoU.lamp": 0.6027, "IoU.bathtub": 0.732, "IoU.railing": 0.337, "IoU.cushion": 0.5548, "IoU.base": 0.3419, "IoU.box": 0.2753, "IoU.column": 0.4077, "IoU.signboard": 0.3612, "IoU.chest of drawers": 0.4025, "IoU.counter": 0.3255, "IoU.sand": 0.5596, "IoU.sink": 0.6936, "IoU.skyscraper": 0.617, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7464, "IoU.grandstand": 0.3933, "IoU.path": 0.2699, "IoU.stairs": 0.3287, "IoU.runway": 0.6993, "IoU.case": 0.4717, "IoU.pool table": 0.9185, "IoU.pillow": 0.5532, "IoU.screen door": 0.63, "IoU.stairway": 0.3055, "IoU.river": 0.123, "IoU.bridge": 0.7195, "IoU.bookcase": 0.4019, "IoU.blind": NaN, "IoU.coffee table": 0.5546, "IoU.toilet": 0.8272, "IoU.flower": 0.43, "IoU.book": 0.449, "IoU.hill": 0.1136, "IoU.bench": 0.4404, "IoU.countertop": 0.5232, "IoU.stove": 0.7338, "IoU.palm": 0.4808, "IoU.kitchen island": 0.3769, "IoU.computer": 0.683, "IoU.swivel chair": 0.3904, "IoU.boat": 0.5252, "IoU.bar": 0.3327, "IoU.arcade machine": 0.4584, "IoU.hovel": 0.2773, "IoU.bus": 0.8262, "IoU.towel": 0.6207, "IoU.light": 0.5416, "IoU.truck": 0.2743, "IoU.tower": 0.0434, "IoU.chandelier": 0.6268, "IoU.awning": 0.2816, "IoU.streetlight": 0.2264, "IoU.booth": 0.6122, "IoU.television receiver": NaN, "IoU.airplane": 0.5915, "IoU.dirt track": 0.1178, "IoU.apparel": 0.3243, "IoU.pole": 0.1935, "IoU.land": 0.0391, "IoU.bannister": 0.0811, "IoU.escalator": 0.2609, "IoU.ottoman": 0.3875, "IoU.bottle": NaN, "IoU.buffet": 0.3893, "IoU.poster": 0.3009, "IoU.stage": 0.2017, "IoU.van": 0.3851, "IoU.ship": 0.6264, "IoU.fountain": 0.2136, "IoU.conveyer belt": 0.865, "IoU.canopy": 0.3095, "IoU.washer": 0.7105, "IoU.plaything": 0.2066, "IoU.swimming pool": 0.7798, "IoU.stool": 0.3676, "IoU.barrel": 0.553, "IoU.basket": 0.3433, "IoU.waterfall": 0.3316, "IoU.tent": 0.9109, "IoU.bag": 0.1036, "IoU.minibike": 0.7442, "IoU.cradle": NaN, "IoU.oven": 0.5112, "IoU.ball": 0.4595, "IoU.food": 0.3737, "IoU.step": 0.0943, "IoU.tank": 0.4811, "IoU.trade name": 0.2661, "IoU.microwave": 0.8122, "IoU.pot": 0.5589, "IoU.animal": NaN, "IoU.bicycle": 0.5476, "IoU.lake": 0.5243, "IoU.dishwasher": 0.625, "IoU.screen": 0.7507, "IoU.blanket": 0.1506, "IoU.sculpture": 0.6864, "IoU.hood": 0.5898, "IoU.sconce": 0.4397, "IoU.vase": 0.3479, "IoU.traffic light": 0.2792, "IoU.tray": 0.0528, "IoU.ashcan": 0.3819, "IoU.fan": 0.6217, "IoU.pier": 0.5255, "IoU.crt screen": 0.0881, "IoU.plate": 0.5569, "IoU.monitor": 0.2963, "IoU.bulletin board": 0.465, "IoU.shower": 0.0305, "IoU.radiator": 0.6236, "IoU.glass": 0.1625, "IoU.clock": 0.4284, "IoU.flag": 0.4423, "Acc.wall": 0.8756, "Acc.building": 0.9291, "Acc.sky": 0.9702, "Acc.floor": 0.8881, "Acc.tree": 0.8772, "Acc.ceiling": 0.9211, "Acc.road": 0.8677, "Acc.bed ": 0.9471, "Acc.windowpane": 0.7881, "Acc.grass": 0.8574, "Acc.cabinet": 0.7484, "Acc.sidewalk": 0.8507, "Acc.person": 0.9167, "Acc.earth": 0.5028, "Acc.door": 0.5483, "Acc.table": 0.7466, "Acc.mountain": 0.7235, "Acc.plant": 0.6184, "Acc.curtain": 0.8306, "Acc.chair": 0.7368, "Acc.car": 0.91, "Acc.water": 0.6657, "Acc.painting": 0.8135, "Acc.sofa": 0.8316, "Acc.shelf": 0.5775, "Acc.house": 0.4835, "Acc.sea": 0.816, "Acc.mirror": 0.6992, "Acc.rug": 0.7888, "Acc.field": 0.4801, "Acc.armchair": 0.4788, "Acc.seat": 0.7966, "Acc.fence": 0.6141, "Acc.desk": 0.6585, "Acc.rock": 0.5592, "Acc.wardrobe": 0.6233, "Acc.lamp": 0.7403, "Acc.bathtub": 0.8082, "Acc.railing": 0.4704, "Acc.cushion": 0.6577, "Acc.base": 0.4555, "Acc.box": 0.3728, "Acc.column": 0.525, "Acc.signboard": 0.5024, "Acc.chest of drawers": 0.5867, "Acc.counter": 0.3932, "Acc.sand": 0.7869, "Acc.sink": 0.811, "Acc.skyscraper": 0.7642, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8297, "Acc.grandstand": 0.6561, "Acc.path": 0.3736, "Acc.stairs": 0.4259, "Acc.runway": 0.8883, "Acc.case": 0.6106, "Acc.pool table": 0.9652, "Acc.pillow": 0.6831, "Acc.screen door": 0.7566, "Acc.stairway": 0.3682, "Acc.river": 0.2651, "Acc.bridge": 0.7838, "Acc.bookcase": 0.4698, "Acc.blind": NaN, "Acc.coffee table": 0.757, "Acc.toilet": 0.9009, "Acc.flower": 0.5296, "Acc.book": 0.6562, "Acc.hill": 0.2081, "Acc.bench": 0.4939, "Acc.countertop": 0.6509, "Acc.stove": 0.8269, "Acc.palm": 0.7338, "Acc.kitchen island": 0.7125, "Acc.computer": 0.8312, "Acc.swivel chair": 0.5082, "Acc.boat": 0.646, "Acc.bar": 0.4422, "Acc.arcade machine": 0.495, "Acc.hovel": 0.3339, "Acc.bus": 0.9597, "Acc.towel": 0.7872, "Acc.light": 0.6407, "Acc.truck": 0.4153, "Acc.tower": 0.0799, "Acc.chandelier": 0.772, "Acc.awning": 0.3222, "Acc.streetlight": 0.2897, "Acc.booth": 0.7304, "Acc.television receiver": NaN, "Acc.airplane": 0.7435, "Acc.dirt track": 0.1546, "Acc.apparel": 0.4841, "Acc.pole": 0.2894, "Acc.land": 0.0581, "Acc.bannister": 0.1043, "Acc.escalator": 0.2788, "Acc.ottoman": 0.5854, "Acc.bottle": NaN, "Acc.buffet": 0.4513, "Acc.poster": 0.4931, "Acc.stage": 0.264, "Acc.van": 0.5112, "Acc.ship": 0.9238, "Acc.fountain": 0.2159, "Acc.conveyer belt": 0.909, "Acc.canopy": 0.4772, "Acc.washer": 0.76, "Acc.plaything": 0.3495, "Acc.swimming pool": 0.8907, "Acc.stool": 0.5136, "Acc.barrel": 0.7042, "Acc.basket": 0.4166, "Acc.waterfall": 0.4025, "Acc.tent": 0.979, "Acc.bag": 0.1223, "Acc.minibike": 0.8937, "Acc.cradle": NaN, "Acc.oven": 0.645, "Acc.ball": 0.5009, "Acc.food": 0.4433, "Acc.step": 0.1014, "Acc.tank": 0.5656, "Acc.trade name": 0.3035, "Acc.microwave": 0.9019, "Acc.pot": 0.617, "Acc.animal": NaN, "Acc.bicycle": 0.7839, "Acc.lake": 0.6334, "Acc.dishwasher": 0.7786, "Acc.screen": 0.8981, "Acc.blanket": 0.2007, "Acc.sculpture": 0.8195, "Acc.hood": 0.6728, "Acc.sconce": 0.5251, "Acc.vase": 0.4921, "Acc.traffic light": 0.3725, "Acc.tray": 0.1053, "Acc.ashcan": 0.5202, "Acc.fan": 0.7337, "Acc.pier": 0.8471, "Acc.crt screen": 0.1998, "Acc.plate": 0.7114, "Acc.monitor": 0.3608, "Acc.bulletin board": 0.5515, "Acc.shower": 0.0334, "Acc.radiator": 0.7757, "Acc.glass": 0.1823, "Acc.clock": 0.5345, "Acc.flag": 0.4938} -{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 36160, "data_time": 1.38594, "decode.loss_seg": 0.16879, "decode.acc_seg": 73.40573, "aux.loss_seg": 0.08676, "aux.acc_seg": 72.15018, "loss": 0.25554, "time": 1.68388} -{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 36160, "data_time": 0.00439, "decode.loss_seg": 0.18278, "decode.acc_seg": 76.09369, "aux.loss_seg": 0.09363, "aux.acc_seg": 74.73136, "loss": 0.27642, "time": 0.3015} -{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 36160, "data_time": 0.00426, "decode.loss_seg": 0.16384, "decode.acc_seg": 73.80041, "aux.loss_seg": 0.08456, "aux.acc_seg": 72.51454, "loss": 0.2484, "time": 0.30075} -{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 36160, "data_time": 0.00437, "decode.loss_seg": 0.16476, "decode.acc_seg": 75.67982, "aux.loss_seg": 0.08532, "aux.acc_seg": 74.35185, "loss": 0.25008, "time": 0.30054} -{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.17067, "decode.acc_seg": 76.11851, "aux.loss_seg": 0.08641, "aux.acc_seg": 74.94097, "loss": 0.25708, "time": 0.30206} -{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 36160, "data_time": 0.00431, "decode.loss_seg": 0.17885, "decode.acc_seg": 75.36237, "aux.loss_seg": 0.09251, "aux.acc_seg": 73.98078, "loss": 0.27136, "time": 0.30133} -{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 36160, "data_time": 0.00443, "decode.loss_seg": 0.16775, "decode.acc_seg": 75.69941, "aux.loss_seg": 0.08708, "aux.acc_seg": 74.34438, "loss": 0.25483, "time": 0.29976} -{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 36160, "data_time": 0.00437, "decode.loss_seg": 0.17764, "decode.acc_seg": 75.21968, "aux.loss_seg": 0.0932, "aux.acc_seg": 73.66015, "loss": 0.27084, "time": 0.30063} -{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 36160, "data_time": 0.17539, "decode.loss_seg": 0.16778, "decode.acc_seg": 75.99469, "aux.loss_seg": 0.0869, "aux.acc_seg": 74.68031, "loss": 0.25469, "time": 0.46979} -{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.1741, "decode.acc_seg": 76.45415, "aux.loss_seg": 0.08918, "aux.acc_seg": 75.23461, "loss": 0.26329, "time": 0.29947} -{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.1745, "decode.acc_seg": 74.96946, "aux.loss_seg": 0.08969, "aux.acc_seg": 73.58495, "loss": 0.26419, "time": 0.29929} -{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.17508, "decode.acc_seg": 74.71961, "aux.loss_seg": 0.08908, "aux.acc_seg": 73.38544, "loss": 0.26416, "time": 0.30033} -{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 36160, "data_time": 0.00415, "decode.loss_seg": 0.17312, "decode.acc_seg": 74.99635, "aux.loss_seg": 0.08829, "aux.acc_seg": 73.79251, "loss": 0.2614, "time": 0.30084} -{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.16413, "decode.acc_seg": 74.58546, "aux.loss_seg": 0.08537, "aux.acc_seg": 73.22632, "loss": 0.2495, "time": 0.30053} -{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 36160, "data_time": 0.00445, "decode.loss_seg": 0.16712, "decode.acc_seg": 76.26091, "aux.loss_seg": 0.08817, "aux.acc_seg": 74.90578, "loss": 0.25529, "time": 0.3005} -{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.16545, "decode.acc_seg": 74.66873, "aux.loss_seg": 0.08477, "aux.acc_seg": 73.39998, "loss": 0.25022, "time": 0.30326} -{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.16812, "decode.acc_seg": 74.6565, "aux.loss_seg": 0.08742, "aux.acc_seg": 73.2762, "loss": 0.25554, "time": 0.30329} -{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 36160, "data_time": 0.00412, "decode.loss_seg": 0.16483, "decode.acc_seg": 75.01727, "aux.loss_seg": 0.08591, "aux.acc_seg": 73.65466, "loss": 0.25073, "time": 0.30214} -{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.16641, "decode.acc_seg": 75.7894, "aux.loss_seg": 0.08573, "aux.acc_seg": 74.38409, "loss": 0.25213, "time": 0.30195} -{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 36160, "data_time": 0.00441, "decode.loss_seg": 0.16479, "decode.acc_seg": 74.73253, "aux.loss_seg": 0.08543, "aux.acc_seg": 73.38411, "loss": 0.25022, "time": 0.30002} -{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.16708, "decode.acc_seg": 74.80039, "aux.loss_seg": 0.08697, "aux.acc_seg": 73.42631, "loss": 0.25405, "time": 0.29978} -{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 36160, "data_time": 0.00393, "decode.loss_seg": 0.17229, "decode.acc_seg": 76.89738, "aux.loss_seg": 0.08897, "aux.acc_seg": 75.59727, "loss": 0.26126, "time": 0.30113} -{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 36160, "data_time": 0.00405, "decode.loss_seg": 0.16243, "decode.acc_seg": 75.24463, "aux.loss_seg": 0.08437, "aux.acc_seg": 73.94421, "loss": 0.2468, "time": 0.30064} -{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 36160, "data_time": 0.00414, "decode.loss_seg": 0.16957, "decode.acc_seg": 75.65827, "aux.loss_seg": 0.08764, "aux.acc_seg": 74.27099, "loss": 0.25721, "time": 0.30024} -{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.164, "decode.acc_seg": 74.93076, "aux.loss_seg": 0.08585, "aux.acc_seg": 73.57653, "loss": 0.24984, "time": 0.30006} -{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.16923, "decode.acc_seg": 75.56601, "aux.loss_seg": 0.08853, "aux.acc_seg": 74.27688, "loss": 0.25776, "time": 0.29986} -{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 36160, "data_time": 0.00429, "decode.loss_seg": 0.1657, "decode.acc_seg": 74.75068, "aux.loss_seg": 0.0862, "aux.acc_seg": 73.43173, "loss": 0.2519, "time": 0.29984} -{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 36160, "data_time": 0.00436, "decode.loss_seg": 0.17502, "decode.acc_seg": 75.3447, "aux.loss_seg": 0.09009, "aux.acc_seg": 73.92029, "loss": 0.26511, "time": 0.29986} -{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 36160, "data_time": 0.00433, "decode.loss_seg": 0.1614, "decode.acc_seg": 74.25172, "aux.loss_seg": 0.08231, "aux.acc_seg": 73.01207, "loss": 0.2437, "time": 0.30017} -{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 36160, "data_time": 0.00417, "decode.loss_seg": 0.17303, "decode.acc_seg": 73.7359, "aux.loss_seg": 0.0883, "aux.acc_seg": 72.39114, "loss": 0.26133, "time": 0.30158} -{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 36160, "data_time": 0.00425, "decode.loss_seg": 0.16827, "decode.acc_seg": 74.5774, "aux.loss_seg": 0.08753, "aux.acc_seg": 73.18194, "loss": 0.2558, "time": 0.30024} -{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 36160, "data_time": 0.00433, "decode.loss_seg": 0.16268, "decode.acc_seg": 75.41731, "aux.loss_seg": 0.08427, "aux.acc_seg": 74.11641, "loss": 0.24695, "time": 0.30051} -{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.18172, "decode.acc_seg": 75.17832, "aux.loss_seg": 0.09456, "aux.acc_seg": 73.81254, "loss": 0.27627, "time": 0.30163} -{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 36160, "data_time": 0.16925, "decode.loss_seg": 0.17396, "decode.acc_seg": 74.97433, "aux.loss_seg": 0.08912, "aux.acc_seg": 73.67343, "loss": 0.26308, "time": 0.46457} -{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.16588, "decode.acc_seg": 74.84685, "aux.loss_seg": 0.08658, "aux.acc_seg": 73.53834, "loss": 0.25246, "time": 0.30024} -{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.17158, "decode.acc_seg": 75.10981, "aux.loss_seg": 0.08925, "aux.acc_seg": 73.60244, "loss": 0.26083, "time": 0.2996} -{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 36160, "data_time": 0.00561, "decode.loss_seg": 0.17687, "decode.acc_seg": 74.76123, "aux.loss_seg": 0.09027, "aux.acc_seg": 73.47177, "loss": 0.26714, "time": 0.29953} -{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.17175, "decode.acc_seg": 75.53707, "aux.loss_seg": 0.08794, "aux.acc_seg": 74.17051, "loss": 0.25968, "time": 0.30002} -{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.16445, "decode.acc_seg": 76.12116, "aux.loss_seg": 0.08441, "aux.acc_seg": 74.82621, "loss": 0.24886, "time": 0.30044} -{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.16599, "decode.acc_seg": 74.13551, "aux.loss_seg": 0.08547, "aux.acc_seg": 72.79685, "loss": 0.25146, "time": 0.30274} -{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.15956, "decode.acc_seg": 74.9831, "aux.loss_seg": 0.08213, "aux.acc_seg": 73.73254, "loss": 0.24169, "time": 0.30383} -{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.16207, "decode.acc_seg": 76.21993, "aux.loss_seg": 0.08572, "aux.acc_seg": 74.78134, "loss": 0.2478, "time": 0.3035} -{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.16566, "decode.acc_seg": 75.48736, "aux.loss_seg": 0.08494, "aux.acc_seg": 74.19769, "loss": 0.25061, "time": 0.303} -{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.17117, "decode.acc_seg": 75.15216, "aux.loss_seg": 0.08896, "aux.acc_seg": 73.81467, "loss": 0.26013, "time": 0.3039} -{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 36160, "data_time": 0.00453, "decode.loss_seg": 0.17176, "decode.acc_seg": 74.73547, "aux.loss_seg": 0.08857, "aux.acc_seg": 73.33374, "loss": 0.26032, "time": 0.30111} -{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 36160, "data_time": 0.00451, "decode.loss_seg": 0.16723, "decode.acc_seg": 74.53779, "aux.loss_seg": 0.08622, "aux.acc_seg": 73.27173, "loss": 0.25345, "time": 0.30001} -{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.16564, "decode.acc_seg": 75.31035, "aux.loss_seg": 0.08574, "aux.acc_seg": 74.01654, "loss": 0.25138, "time": 0.30018} -{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.17223, "decode.acc_seg": 75.38481, "aux.loss_seg": 0.08876, "aux.acc_seg": 74.12123, "loss": 0.26099, "time": 0.30077} -{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 36160, "data_time": 0.00443, "decode.loss_seg": 0.17481, "decode.acc_seg": 74.89603, "aux.loss_seg": 0.09087, "aux.acc_seg": 73.4711, "loss": 0.26568, "time": 0.3007} -{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 36160, "data_time": 0.00446, "decode.loss_seg": 0.1579, "decode.acc_seg": 74.46429, "aux.loss_seg": 0.08355, "aux.acc_seg": 73.13363, "loss": 0.24145, "time": 0.30048} -{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.16307, "decode.acc_seg": 76.92291, "aux.loss_seg": 0.08331, "aux.acc_seg": 75.71644, "loss": 0.24637, "time": 0.29959} -{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.17159, "decode.acc_seg": 75.30019, "aux.loss_seg": 0.08722, "aux.acc_seg": 74.12986, "loss": 0.25881, "time": 0.30091} -{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.17817, "decode.acc_seg": 74.89697, "aux.loss_seg": 0.09224, "aux.acc_seg": 73.50718, "loss": 0.27041, "time": 0.30296} -{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.16928, "decode.acc_seg": 75.63625, "aux.loss_seg": 0.08637, "aux.acc_seg": 74.35714, "loss": 0.25565, "time": 0.30241} -{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.16179, "decode.acc_seg": 75.21716, "aux.loss_seg": 0.0842, "aux.acc_seg": 73.84273, "loss": 0.24599, "time": 0.30077} -{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.16675, "decode.acc_seg": 73.83296, "aux.loss_seg": 0.08663, "aux.acc_seg": 72.48859, "loss": 0.25337, "time": 0.30096} -{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.17011, "decode.acc_seg": 74.52057, "aux.loss_seg": 0.0872, "aux.acc_seg": 73.21594, "loss": 0.25731, "time": 0.3001} -{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.17708, "decode.acc_seg": 75.89964, "aux.loss_seg": 0.09298, "aux.acc_seg": 74.42619, "loss": 0.27005, "time": 0.30372} -{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 36160, "data_time": 0.17645, "decode.loss_seg": 0.18867, "decode.acc_seg": 75.1718, "aux.loss_seg": 0.09405, "aux.acc_seg": 73.80363, "loss": 0.28271, "time": 0.47176} -{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.1589, "decode.acc_seg": 75.89895, "aux.loss_seg": 0.08258, "aux.acc_seg": 74.60786, "loss": 0.24147, "time": 0.30135} -{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.17207, "decode.acc_seg": 75.29257, "aux.loss_seg": 0.09028, "aux.acc_seg": 73.90083, "loss": 0.26236, "time": 0.29949} -{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.16474, "decode.acc_seg": 74.6617, "aux.loss_seg": 0.08564, "aux.acc_seg": 73.3275, "loss": 0.25038, "time": 0.29999} -{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.16653, "decode.acc_seg": 74.9105, "aux.loss_seg": 0.08716, "aux.acc_seg": 73.51007, "loss": 0.25369, "time": 0.29931} -{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.17043, "decode.acc_seg": 76.12785, "aux.loss_seg": 0.0886, "aux.acc_seg": 74.63801, "loss": 0.25903, "time": 0.29899} -{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.15856, "decode.acc_seg": 73.21351, "aux.loss_seg": 0.08185, "aux.acc_seg": 72.02325, "loss": 0.24041, "time": 0.29976} -{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.16911, "decode.acc_seg": 75.37981, "aux.loss_seg": 0.08694, "aux.acc_seg": 74.03007, "loss": 0.25606, "time": 0.30289} -{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15947, "decode.acc_seg": 74.4531, "aux.loss_seg": 0.08261, "aux.acc_seg": 73.24637, "loss": 0.24208, "time": 0.30302} -{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.16473, "decode.acc_seg": 76.07395, "aux.loss_seg": 0.08447, "aux.acc_seg": 74.80879, "loss": 0.2492, "time": 0.30476} -{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.1587, "decode.acc_seg": 74.36618, "aux.loss_seg": 0.08327, "aux.acc_seg": 73.04209, "loss": 0.24198, "time": 0.30426} -{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.16664, "decode.acc_seg": 74.63934, "aux.loss_seg": 0.08655, "aux.acc_seg": 73.29812, "loss": 0.25319, "time": 0.30358} -{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.17049, "decode.acc_seg": 74.93526, "aux.loss_seg": 0.08884, "aux.acc_seg": 73.51279, "loss": 0.25934, "time": 0.30233} -{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.17319, "decode.acc_seg": 75.34305, "aux.loss_seg": 0.08972, "aux.acc_seg": 73.91808, "loss": 0.26292, "time": 0.30198} -{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.17333, "decode.acc_seg": 75.80044, "aux.loss_seg": 0.08792, "aux.acc_seg": 74.4762, "loss": 0.26125, "time": 0.30181} -{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16761, "decode.acc_seg": 74.33354, "aux.loss_seg": 0.08762, "aux.acc_seg": 72.95799, "loss": 0.25524, "time": 0.30296} -{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.17065, "decode.acc_seg": 75.97539, "aux.loss_seg": 0.08901, "aux.acc_seg": 74.61876, "loss": 0.25966, "time": 0.30275} -{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.16449, "decode.acc_seg": 75.03784, "aux.loss_seg": 0.08652, "aux.acc_seg": 73.63417, "loss": 0.25101, "time": 0.30257} -{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.16703, "decode.acc_seg": 75.36705, "aux.loss_seg": 0.08467, "aux.acc_seg": 74.14815, "loss": 0.2517, "time": 0.30195} -{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.16219, "decode.acc_seg": 74.8575, "aux.loss_seg": 0.08422, "aux.acc_seg": 73.55555, "loss": 0.24641, "time": 0.30302} -{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.16309, "decode.acc_seg": 74.96188, "aux.loss_seg": 0.08485, "aux.acc_seg": 73.63297, "loss": 0.24794, "time": 0.30196} -{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.16396, "decode.acc_seg": 74.95998, "aux.loss_seg": 0.0841, "aux.acc_seg": 73.70801, "loss": 0.24806, "time": 0.30349} -{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 36160, "data_time": 0.00465, "decode.loss_seg": 0.17016, "decode.acc_seg": 73.50788, "aux.loss_seg": 0.08693, "aux.acc_seg": 72.22857, "loss": 0.25708, "time": 0.30206} -{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.16457, "decode.acc_seg": 75.07766, "aux.loss_seg": 0.08625, "aux.acc_seg": 73.66046, "loss": 0.25082, "time": 0.30345} -{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.17346, "decode.acc_seg": 75.95043, "aux.loss_seg": 0.08933, "aux.acc_seg": 74.68571, "loss": 0.26279, "time": 0.30335} -{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 36160, "data_time": 0.18213, "decode.loss_seg": 0.16994, "decode.acc_seg": 76.03402, "aux.loss_seg": 0.08772, "aux.acc_seg": 74.67865, "loss": 0.25766, "time": 0.47785} -{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15724, "decode.acc_seg": 74.42717, "aux.loss_seg": 0.08226, "aux.acc_seg": 73.1024, "loss": 0.2395, "time": 0.30184} -{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.16203, "decode.acc_seg": 75.23918, "aux.loss_seg": 0.08453, "aux.acc_seg": 73.98726, "loss": 0.24657, "time": 0.30298} -{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.15325, "decode.acc_seg": 75.96721, "aux.loss_seg": 0.07931, "aux.acc_seg": 74.81557, "loss": 0.23256, "time": 0.30142} -{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.17514, "decode.acc_seg": 75.27402, "aux.loss_seg": 0.09069, "aux.acc_seg": 73.93249, "loss": 0.26583, "time": 0.30225} -{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.16554, "decode.acc_seg": 74.55813, "aux.loss_seg": 0.08552, "aux.acc_seg": 73.25657, "loss": 0.25106, "time": 0.30193} -{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.17048, "decode.acc_seg": 75.7551, "aux.loss_seg": 0.08801, "aux.acc_seg": 74.43836, "loss": 0.2585, "time": 0.30015} -{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.17435, "decode.acc_seg": 74.7627, "aux.loss_seg": 0.0916, "aux.acc_seg": 73.242, "loss": 0.26595, "time": 0.3024} -{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.16318, "decode.acc_seg": 75.45437, "aux.loss_seg": 0.08505, "aux.acc_seg": 74.04726, "loss": 0.24823, "time": 0.30271} -{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.15832, "decode.acc_seg": 76.50041, "aux.loss_seg": 0.08161, "aux.acc_seg": 75.19657, "loss": 0.23993, "time": 0.30027} -{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.16034, "decode.acc_seg": 73.9818, "aux.loss_seg": 0.08367, "aux.acc_seg": 72.71813, "loss": 0.24401, "time": 0.30086} -{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.162, "decode.acc_seg": 74.75081, "aux.loss_seg": 0.08374, "aux.acc_seg": 73.39193, "loss": 0.24575, "time": 0.30059} -{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.17149, "decode.acc_seg": 75.54856, "aux.loss_seg": 0.09036, "aux.acc_seg": 74.15082, "loss": 0.26185, "time": 0.30115} -{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.17515, "decode.acc_seg": 75.7849, "aux.loss_seg": 0.0907, "aux.acc_seg": 74.44648, "loss": 0.26586, "time": 0.30204} -{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.17491, "decode.acc_seg": 74.29986, "aux.loss_seg": 0.08999, "aux.acc_seg": 72.94776, "loss": 0.2649, "time": 0.30382} -{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.16048, "decode.acc_seg": 75.61811, "aux.loss_seg": 0.08292, "aux.acc_seg": 74.35202, "loss": 0.2434, "time": 0.3005} -{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.17132, "decode.acc_seg": 74.09605, "aux.loss_seg": 0.08923, "aux.acc_seg": 72.65014, "loss": 0.26055, "time": 0.30081} -{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.16077, "decode.acc_seg": 74.62699, "aux.loss_seg": 0.08399, "aux.acc_seg": 73.23706, "loss": 0.24476, "time": 0.30095} -{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.15238, "decode.acc_seg": 75.54732, "aux.loss_seg": 0.07916, "aux.acc_seg": 74.32518, "loss": 0.23154, "time": 0.30088} -{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.16306, "decode.acc_seg": 75.05882, "aux.loss_seg": 0.08473, "aux.acc_seg": 73.73905, "loss": 0.24779, "time": 0.30345} -{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.16645, "decode.acc_seg": 75.1768, "aux.loss_seg": 0.08672, "aux.acc_seg": 73.78439, "loss": 0.25317, "time": 0.30234} -{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.17522, "decode.acc_seg": 74.70064, "aux.loss_seg": 0.09125, "aux.acc_seg": 73.19923, "loss": 0.26647, "time": 0.30588} -{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.1609, "decode.acc_seg": 76.92763, "aux.loss_seg": 0.08387, "aux.acc_seg": 75.54757, "loss": 0.24477, "time": 0.30313} -{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.16364, "decode.acc_seg": 75.6345, "aux.loss_seg": 0.08605, "aux.acc_seg": 74.25198, "loss": 0.24969, "time": 0.30298} -{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.1618, "decode.acc_seg": 74.46873, "aux.loss_seg": 0.08409, "aux.acc_seg": 73.25023, "loss": 0.24589, "time": 0.30162} -{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.16091, "decode.acc_seg": 74.4994, "aux.loss_seg": 0.08422, "aux.acc_seg": 73.10317, "loss": 0.24512, "time": 0.30229} -{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 36160, "data_time": 0.16918, "decode.loss_seg": 0.16232, "decode.acc_seg": 74.72889, "aux.loss_seg": 0.08522, "aux.acc_seg": 73.38505, "loss": 0.24754, "time": 0.46443} -{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.16385, "decode.acc_seg": 75.40644, "aux.loss_seg": 0.08558, "aux.acc_seg": 74.00122, "loss": 0.24943, "time": 0.30089} -{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 36160, "data_time": 0.00644, "decode.loss_seg": 0.16821, "decode.acc_seg": 74.83783, "aux.loss_seg": 0.0882, "aux.acc_seg": 73.34897, "loss": 0.25641, "time": 0.30025} -{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 36160, "data_time": 0.00644, "decode.loss_seg": 0.16344, "decode.acc_seg": 74.84641, "aux.loss_seg": 0.08631, "aux.acc_seg": 73.46655, "loss": 0.24975, "time": 0.30109} -{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 36160, "data_time": 0.00668, "decode.loss_seg": 0.16177, "decode.acc_seg": 75.92489, "aux.loss_seg": 0.08374, "aux.acc_seg": 74.61979, "loss": 0.24551, "time": 0.30086} -{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.16383, "decode.acc_seg": 74.44543, "aux.loss_seg": 0.08553, "aux.acc_seg": 73.09447, "loss": 0.24936, "time": 0.3001} -{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 36160, "data_time": 0.0067, "decode.loss_seg": 0.16582, "decode.acc_seg": 75.52693, "aux.loss_seg": 0.08426, "aux.acc_seg": 74.33435, "loss": 0.25009, "time": 0.3028} -{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.15778, "decode.acc_seg": 75.94341, "aux.loss_seg": 0.08335, "aux.acc_seg": 74.54616, "loss": 0.24114, "time": 0.30286} -{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.16328, "decode.acc_seg": 74.99211, "aux.loss_seg": 0.08697, "aux.acc_seg": 73.50531, "loss": 0.25025, "time": 0.3021} -{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.15509, "decode.acc_seg": 74.64954, "aux.loss_seg": 0.08189, "aux.acc_seg": 73.29532, "loss": 0.23698, "time": 0.30082} -{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.16568, "decode.acc_seg": 75.24492, "aux.loss_seg": 0.08563, "aux.acc_seg": 73.88126, "loss": 0.25131, "time": 0.30106} -{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.16372, "decode.acc_seg": 76.07397, "aux.loss_seg": 0.08521, "aux.acc_seg": 74.75595, "loss": 0.24894, "time": 0.30122} -{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 36160, "data_time": 0.00659, "decode.loss_seg": 0.1644, "decode.acc_seg": 75.39138, "aux.loss_seg": 0.08689, "aux.acc_seg": 73.99285, "loss": 0.25129, "time": 0.30198} -{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 36160, "data_time": 0.00667, "decode.loss_seg": 0.16391, "decode.acc_seg": 75.83143, "aux.loss_seg": 0.08588, "aux.acc_seg": 74.47483, "loss": 0.24979, "time": 0.30293} -{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 36160, "data_time": 0.00651, "decode.loss_seg": 0.15764, "decode.acc_seg": 74.61797, "aux.loss_seg": 0.08145, "aux.acc_seg": 73.38659, "loss": 0.2391, "time": 0.30272} -{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 36160, "data_time": 0.0064, "decode.loss_seg": 0.1661, "decode.acc_seg": 74.53586, "aux.loss_seg": 0.08587, "aux.acc_seg": 73.24042, "loss": 0.25197, "time": 0.30412} -{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.15916, "decode.acc_seg": 76.8256, "aux.loss_seg": 0.08322, "aux.acc_seg": 75.49281, "loss": 0.24239, "time": 0.30326} -{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.1562, "decode.acc_seg": 75.271, "aux.loss_seg": 0.08028, "aux.acc_seg": 74.05938, "loss": 0.23648, "time": 0.30307} -{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16189, "decode.acc_seg": 74.55552, "aux.loss_seg": 0.08356, "aux.acc_seg": 73.29121, "loss": 0.24545, "time": 0.30248} -{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 36160, "data_time": 0.00653, "decode.loss_seg": 0.16582, "decode.acc_seg": 73.52811, "aux.loss_seg": 0.08589, "aux.acc_seg": 72.18226, "loss": 0.25172, "time": 0.30208} -{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.16541, "decode.acc_seg": 75.15641, "aux.loss_seg": 0.08477, "aux.acc_seg": 73.94532, "loss": 0.25018, "time": 0.3029} -{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 36160, "data_time": 0.00667, "decode.loss_seg": 0.17098, "decode.acc_seg": 76.08101, "aux.loss_seg": 0.08927, "aux.acc_seg": 74.66507, "loss": 0.26024, "time": 0.30236} -{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 36160, "data_time": 0.00668, "decode.loss_seg": 0.16235, "decode.acc_seg": 75.4168, "aux.loss_seg": 0.08524, "aux.acc_seg": 73.98586, "loss": 0.24759, "time": 0.30245} -{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.16378, "decode.acc_seg": 75.44971, "aux.loss_seg": 0.08598, "aux.acc_seg": 74.04236, "loss": 0.24976, "time": 0.3018} -{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.16286, "decode.acc_seg": 75.72406, "aux.loss_seg": 0.08448, "aux.acc_seg": 74.4275, "loss": 0.24735, "time": 0.3039} -{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 36160, "data_time": 0.16493, "decode.loss_seg": 0.16401, "decode.acc_seg": 75.40281, "aux.loss_seg": 0.08642, "aux.acc_seg": 73.91932, "loss": 0.25043, "time": 0.46104} -{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.15911, "decode.acc_seg": 74.88205, "aux.loss_seg": 0.0832, "aux.acc_seg": 73.51522, "loss": 0.24232, "time": 0.3019} -{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.16225, "decode.acc_seg": 75.92991, "aux.loss_seg": 0.08418, "aux.acc_seg": 74.54038, "loss": 0.24642, "time": 0.30093} -{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.16246, "decode.acc_seg": 75.47828, "aux.loss_seg": 0.08519, "aux.acc_seg": 74.09561, "loss": 0.24765, "time": 0.30107} -{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.16052, "decode.acc_seg": 75.58027, "aux.loss_seg": 0.08232, "aux.acc_seg": 74.30108, "loss": 0.24284, "time": 0.3008} -{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15916, "decode.acc_seg": 76.39202, "aux.loss_seg": 0.08357, "aux.acc_seg": 75.01133, "loss": 0.24273, "time": 0.30084} -{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.1602, "decode.acc_seg": 74.54529, "aux.loss_seg": 0.08263, "aux.acc_seg": 73.28816, "loss": 0.24282, "time": 0.30234} -{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.16329, "decode.acc_seg": 76.10154, "aux.loss_seg": 0.08389, "aux.acc_seg": 74.76919, "loss": 0.24718, "time": 0.3022} -{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.1629, "decode.acc_seg": 75.24049, "aux.loss_seg": 0.08374, "aux.acc_seg": 74.00969, "loss": 0.24663, "time": 0.302} -{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16817, "decode.acc_seg": 76.08913, "aux.loss_seg": 0.08728, "aux.acc_seg": 74.71012, "loss": 0.25545, "time": 0.30237} -{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.16326, "decode.acc_seg": 76.42098, "aux.loss_seg": 0.08451, "aux.acc_seg": 75.12201, "loss": 0.24777, "time": 0.30125} -{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.1675, "decode.acc_seg": 74.91332, "aux.loss_seg": 0.08611, "aux.acc_seg": 73.63648, "loss": 0.25361, "time": 0.30067} -{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.1674, "decode.acc_seg": 75.50526, "aux.loss_seg": 0.08497, "aux.acc_seg": 74.27564, "loss": 0.25238, "time": 0.3012} -{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.17048, "decode.acc_seg": 75.27202, "aux.loss_seg": 0.08818, "aux.acc_seg": 73.96439, "loss": 0.25867, "time": 0.30095} -{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.16503, "decode.acc_seg": 74.5476, "aux.loss_seg": 0.08576, "aux.acc_seg": 73.23476, "loss": 0.25079, "time": 0.30096} -{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15604, "decode.acc_seg": 74.97134, "aux.loss_seg": 0.08209, "aux.acc_seg": 73.6105, "loss": 0.23813, "time": 0.3016} -{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.16176, "decode.acc_seg": 72.86157, "aux.loss_seg": 0.08585, "aux.acc_seg": 71.55076, "loss": 0.24762, "time": 0.30165} -{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.16168, "decode.acc_seg": 75.30303, "aux.loss_seg": 0.08335, "aux.acc_seg": 73.98598, "loss": 0.24503, "time": 0.30227} -{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.16884, "decode.acc_seg": 75.74058, "aux.loss_seg": 0.08583, "aux.acc_seg": 74.55696, "loss": 0.25467, "time": 0.30161} -{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16324, "decode.acc_seg": 75.77951, "aux.loss_seg": 0.08496, "aux.acc_seg": 74.47339, "loss": 0.2482, "time": 0.30156} -{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.16354, "decode.acc_seg": 75.33548, "aux.loss_seg": 0.08532, "aux.acc_seg": 73.95444, "loss": 0.24886, "time": 0.30153} -{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.167, "decode.acc_seg": 75.95346, "aux.loss_seg": 0.0871, "aux.acc_seg": 74.58594, "loss": 0.25409, "time": 0.30206} -{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.16262, "decode.acc_seg": 74.18396, "aux.loss_seg": 0.08542, "aux.acc_seg": 72.81529, "loss": 0.24804, "time": 0.30101} -{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.16362, "decode.acc_seg": 74.44335, "aux.loss_seg": 0.08467, "aux.acc_seg": 73.10739, "loss": 0.24829, "time": 0.30177} -{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.17113, "decode.acc_seg": 75.36967, "aux.loss_seg": 0.08926, "aux.acc_seg": 73.92832, "loss": 0.26039, "time": 0.30149} -{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 36160, "data_time": 0.17648, "decode.loss_seg": 0.16588, "decode.acc_seg": 77.09816, "aux.loss_seg": 0.08527, "aux.acc_seg": 75.7915, "loss": 0.25115, "time": 0.47178} -{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.1611, "decode.acc_seg": 75.45786, "aux.loss_seg": 0.08514, "aux.acc_seg": 74.12331, "loss": 0.24624, "time": 0.30039} -{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.167, "decode.acc_seg": 76.10847, "aux.loss_seg": 0.08563, "aux.acc_seg": 74.78674, "loss": 0.25262, "time": 0.3006} -{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.171, "decode.acc_seg": 74.60275, "aux.loss_seg": 0.08959, "aux.acc_seg": 73.10823, "loss": 0.26059, "time": 0.30167} -{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15687, "decode.acc_seg": 74.29774, "aux.loss_seg": 0.08179, "aux.acc_seg": 72.96254, "loss": 0.23866, "time": 0.30026} -{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.15633, "decode.acc_seg": 74.05125, "aux.loss_seg": 0.08214, "aux.acc_seg": 72.68077, "loss": 0.23847, "time": 0.30016} -{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.16537, "decode.acc_seg": 76.02073, "aux.loss_seg": 0.08611, "aux.acc_seg": 74.61503, "loss": 0.25148, "time": 0.3018} -{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.16002, "decode.acc_seg": 75.96725, "aux.loss_seg": 0.08347, "aux.acc_seg": 74.67384, "loss": 0.2435, "time": 0.30218} -{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.17253, "decode.acc_seg": 74.62068, "aux.loss_seg": 0.09075, "aux.acc_seg": 73.14505, "loss": 0.26328, "time": 0.30179} -{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.16258, "decode.acc_seg": 74.83647, "aux.loss_seg": 0.08353, "aux.acc_seg": 73.64361, "loss": 0.2461, "time": 0.30094} -{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.16601, "decode.acc_seg": 75.3606, "aux.loss_seg": 0.08535, "aux.acc_seg": 74.13213, "loss": 0.25136, "time": 0.29965} -{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.15521, "decode.acc_seg": 74.42012, "aux.loss_seg": 0.08097, "aux.acc_seg": 73.13721, "loss": 0.23618, "time": 0.29948} -{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.16485, "decode.acc_seg": 74.54594, "aux.loss_seg": 0.08578, "aux.acc_seg": 73.15803, "loss": 0.25063, "time": 0.29954} -{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.1647, "decode.acc_seg": 74.85096, "aux.loss_seg": 0.08615, "aux.acc_seg": 73.48298, "loss": 0.25085, "time": 0.29971} -{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.16457, "decode.acc_seg": 74.98584, "aux.loss_seg": 0.08668, "aux.acc_seg": 73.48508, "loss": 0.25125, "time": 0.30185} -{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.16749, "decode.acc_seg": 75.29904, "aux.loss_seg": 0.08798, "aux.acc_seg": 73.88504, "loss": 0.25548, "time": 0.30055} -{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.16641, "decode.acc_seg": 75.96478, "aux.loss_seg": 0.08744, "aux.acc_seg": 74.562, "loss": 0.25384, "time": 0.29975} -{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.16696, "decode.acc_seg": 74.26367, "aux.loss_seg": 0.08538, "aux.acc_seg": 73.05252, "loss": 0.25234, "time": 0.30101} -{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.15836, "decode.acc_seg": 76.76083, "aux.loss_seg": 0.08408, "aux.acc_seg": 75.3096, "loss": 0.24244, "time": 0.30179} -{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.16234, "decode.acc_seg": 75.60159, "aux.loss_seg": 0.08352, "aux.acc_seg": 74.25018, "loss": 0.24586, "time": 0.30151} -{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.16482, "decode.acc_seg": 74.99947, "aux.loss_seg": 0.08591, "aux.acc_seg": 73.71062, "loss": 0.25073, "time": 0.30148} -{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.17238, "decode.acc_seg": 75.19526, "aux.loss_seg": 0.08993, "aux.acc_seg": 73.79327, "loss": 0.26231, "time": 0.3016} -{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.16996, "decode.acc_seg": 75.96386, "aux.loss_seg": 0.08814, "aux.acc_seg": 74.63656, "loss": 0.2581, "time": 0.30159} -{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.17163, "decode.acc_seg": 76.23803, "aux.loss_seg": 0.08734, "aux.acc_seg": 74.95515, "loss": 0.25897, "time": 0.30174} -{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.16378, "decode.acc_seg": 76.42347, "aux.loss_seg": 0.08494, "aux.acc_seg": 75.06746, "loss": 0.24871, "time": 0.30166} -{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 36160, "data_time": 0.17108, "decode.loss_seg": 0.17135, "decode.acc_seg": 75.91655, "aux.loss_seg": 0.08971, "aux.acc_seg": 74.46915, "loss": 0.26105, "time": 0.46661} -{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.17007, "decode.acc_seg": 74.63511, "aux.loss_seg": 0.08625, "aux.acc_seg": 73.32807, "loss": 0.25632, "time": 0.30022} -{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.15103, "decode.acc_seg": 75.50751, "aux.loss_seg": 0.0803, "aux.acc_seg": 74.09341, "loss": 0.23133, "time": 0.30022} -{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.16582, "decode.acc_seg": 75.80504, "aux.loss_seg": 0.08566, "aux.acc_seg": 74.49548, "loss": 0.25148, "time": 0.30102} -{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.16371, "decode.acc_seg": 76.4345, "aux.loss_seg": 0.08484, "aux.acc_seg": 75.15488, "loss": 0.24856, "time": 0.30119} -{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.1572, "decode.acc_seg": 74.09043, "aux.loss_seg": 0.08238, "aux.acc_seg": 72.76552, "loss": 0.23959, "time": 0.30192} -{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15728, "decode.acc_seg": 75.48731, "aux.loss_seg": 0.08096, "aux.acc_seg": 74.25612, "loss": 0.23824, "time": 0.30147} -{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.17113, "decode.acc_seg": 75.67998, "aux.loss_seg": 0.08888, "aux.acc_seg": 74.35861, "loss": 0.26001, "time": 0.30191} -{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.16163, "decode.acc_seg": 74.87838, "aux.loss_seg": 0.08409, "aux.acc_seg": 73.53526, "loss": 0.24572, "time": 0.30406} -{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.16701, "decode.acc_seg": 75.16517, "aux.loss_seg": 0.08641, "aux.acc_seg": 73.80629, "loss": 0.25341, "time": 0.30307} -{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.16076, "decode.acc_seg": 76.3746, "aux.loss_seg": 0.08396, "aux.acc_seg": 75.08443, "loss": 0.24471, "time": 0.302} -{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.17085, "decode.acc_seg": 74.87306, "aux.loss_seg": 0.09054, "aux.acc_seg": 73.40512, "loss": 0.26139, "time": 0.30233} -{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15766, "decode.acc_seg": 75.57448, "aux.loss_seg": 0.08332, "aux.acc_seg": 74.1833, "loss": 0.24098, "time": 0.30255} -{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.16507, "decode.acc_seg": 74.99336, "aux.loss_seg": 0.08647, "aux.acc_seg": 73.55466, "loss": 0.25155, "time": 0.30219} -{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.16698, "decode.acc_seg": 74.92638, "aux.loss_seg": 0.0872, "aux.acc_seg": 73.49765, "loss": 0.25418, "time": 0.30159} -{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.1648, "decode.acc_seg": 74.02935, "aux.loss_seg": 0.08462, "aux.acc_seg": 72.74345, "loss": 0.24942, "time": 0.303} -{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.16652, "decode.acc_seg": 77.45317, "aux.loss_seg": 0.08662, "aux.acc_seg": 76.08799, "loss": 0.25314, "time": 0.30076} -{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.16579, "decode.acc_seg": 75.87662, "aux.loss_seg": 0.08709, "aux.acc_seg": 74.41317, "loss": 0.25288, "time": 0.30029} -{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.16704, "decode.acc_seg": 76.97053, "aux.loss_seg": 0.08688, "aux.acc_seg": 75.60991, "loss": 0.25392, "time": 0.3022} -{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.15952, "decode.acc_seg": 75.15749, "aux.loss_seg": 0.08231, "aux.acc_seg": 73.96707, "loss": 0.24183, "time": 0.30123} -{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.16101, "decode.acc_seg": 74.9987, "aux.loss_seg": 0.0823, "aux.acc_seg": 73.80145, "loss": 0.24331, "time": 0.30208} -{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.1598, "decode.acc_seg": 76.57418, "aux.loss_seg": 0.08364, "aux.acc_seg": 75.17624, "loss": 0.24344, "time": 0.30249} -{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.16081, "decode.acc_seg": 75.90188, "aux.loss_seg": 0.0829, "aux.acc_seg": 74.65166, "loss": 0.24371, "time": 0.30319} -{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.15792, "decode.acc_seg": 75.78018, "aux.loss_seg": 0.0824, "aux.acc_seg": 74.47625, "loss": 0.24032, "time": 0.3014} -{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.1613, "decode.acc_seg": 75.08377, "aux.loss_seg": 0.08406, "aux.acc_seg": 73.72274, "loss": 0.24536, "time": 0.3012} -{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.15972, "decode.acc_seg": 74.75517, "aux.loss_seg": 0.08286, "aux.acc_seg": 73.50026, "loss": 0.24258, "time": 0.30146} -{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 36160, "data_time": 0.1419, "decode.loss_seg": 0.16022, "decode.acc_seg": 73.82884, "aux.loss_seg": 0.0826, "aux.acc_seg": 72.50402, "loss": 0.24281, "time": 0.4617} -{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 36160, "data_time": 0.00645, "decode.loss_seg": 0.16562, "decode.acc_seg": 76.43148, "aux.loss_seg": 0.08559, "aux.acc_seg": 75.13277, "loss": 0.25121, "time": 0.30059} -{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 36160, "data_time": 0.00681, "decode.loss_seg": 0.15354, "decode.acc_seg": 75.46071, "aux.loss_seg": 0.07931, "aux.acc_seg": 74.18096, "loss": 0.23285, "time": 0.30084} -{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 36160, "data_time": 0.00659, "decode.loss_seg": 0.16214, "decode.acc_seg": 76.5583, "aux.loss_seg": 0.0842, "aux.acc_seg": 75.21681, "loss": 0.24634, "time": 0.30108} -{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 36160, "data_time": 0.00681, "decode.loss_seg": 0.1548, "decode.acc_seg": 76.32801, "aux.loss_seg": 0.07984, "aux.acc_seg": 75.13946, "loss": 0.23464, "time": 0.30063} -{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 36160, "data_time": 0.00678, "decode.loss_seg": 0.15429, "decode.acc_seg": 75.40663, "aux.loss_seg": 0.08144, "aux.acc_seg": 73.99997, "loss": 0.23573, "time": 0.30099} -{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 36160, "data_time": 0.00674, "decode.loss_seg": 0.16529, "decode.acc_seg": 76.75457, "aux.loss_seg": 0.08676, "aux.acc_seg": 75.38378, "loss": 0.25205, "time": 0.30053} -{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 36160, "data_time": 0.00658, "decode.loss_seg": 0.16283, "decode.acc_seg": 76.36748, "aux.loss_seg": 0.08547, "aux.acc_seg": 74.964, "loss": 0.2483, "time": 0.30073} -{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 36160, "data_time": 0.00641, "decode.loss_seg": 0.16021, "decode.acc_seg": 75.22594, "aux.loss_seg": 0.08301, "aux.acc_seg": 73.92015, "loss": 0.24322, "time": 0.30061} -{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 36160, "data_time": 0.00665, "decode.loss_seg": 0.16607, "decode.acc_seg": 75.49106, "aux.loss_seg": 0.08674, "aux.acc_seg": 74.17712, "loss": 0.25281, "time": 0.30213} -{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 36160, "data_time": 0.00656, "decode.loss_seg": 0.15947, "decode.acc_seg": 74.96846, "aux.loss_seg": 0.08304, "aux.acc_seg": 73.61606, "loss": 0.24251, "time": 0.30197} -{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 36160, "data_time": 0.0066, "decode.loss_seg": 0.16209, "decode.acc_seg": 75.71534, "aux.loss_seg": 0.08302, "aux.acc_seg": 74.39299, "loss": 0.24512, "time": 0.30341} -{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 36160, "data_time": 0.00604, "decode.loss_seg": 0.15562, "decode.acc_seg": 75.23906, "aux.loss_seg": 0.08082, "aux.acc_seg": 73.91561, "loss": 0.23644, "time": 0.30289} -{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.16459, "decode.acc_seg": 74.64202, "aux.loss_seg": 0.08665, "aux.acc_seg": 73.21881, "loss": 0.25124, "time": 0.30246} -{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.1593, "decode.acc_seg": 75.13269, "aux.loss_seg": 0.08458, "aux.acc_seg": 73.74138, "loss": 0.24388, "time": 0.30269} -{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.15915, "decode.acc_seg": 76.5737, "aux.loss_seg": 0.08238, "aux.acc_seg": 75.31823, "loss": 0.24154, "time": 0.30181} -{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.15932, "decode.acc_seg": 76.0601, "aux.loss_seg": 0.08333, "aux.acc_seg": 74.72206, "loss": 0.24265, "time": 0.30174} -{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.15998, "decode.acc_seg": 74.67921, "aux.loss_seg": 0.085, "aux.acc_seg": 73.31041, "loss": 0.24498, "time": 0.3038} -{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.15791, "decode.acc_seg": 77.29858, "aux.loss_seg": 0.08088, "aux.acc_seg": 76.09205, "loss": 0.23879, "time": 0.3027} -{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.15706, "decode.acc_seg": 76.23816, "aux.loss_seg": 0.08153, "aux.acc_seg": 74.95853, "loss": 0.23858, "time": 0.30308} -{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.16213, "decode.acc_seg": 75.50162, "aux.loss_seg": 0.08419, "aux.acc_seg": 74.26395, "loss": 0.24631, "time": 0.3018} -{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.15722, "decode.acc_seg": 74.81105, "aux.loss_seg": 0.0836, "aux.acc_seg": 73.30735, "loss": 0.24083, "time": 0.30156} -{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 36160, "data_time": 0.00644, "decode.loss_seg": 0.15684, "decode.acc_seg": 75.58958, "aux.loss_seg": 0.08207, "aux.acc_seg": 74.28333, "loss": 0.2389, "time": 0.30054} -{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.15378, "decode.acc_seg": 73.97657, "aux.loss_seg": 0.08039, "aux.acc_seg": 72.70684, "loss": 0.23417, "time": 0.30036} -{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 36160, "data_time": 0.00662, "decode.loss_seg": 0.16277, "decode.acc_seg": 75.46318, "aux.loss_seg": 0.08425, "aux.acc_seg": 74.11545, "loss": 0.24702, "time": 0.30125} -{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 36160, "data_time": 0.17448, "decode.loss_seg": 0.16382, "decode.acc_seg": 73.73711, "aux.loss_seg": 0.08584, "aux.acc_seg": 72.37222, "loss": 0.24967, "time": 0.46932} -{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.15986, "decode.acc_seg": 75.81575, "aux.loss_seg": 0.08317, "aux.acc_seg": 74.5108, "loss": 0.24303, "time": 0.29989} -{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.16009, "decode.acc_seg": 76.06536, "aux.loss_seg": 0.08382, "aux.acc_seg": 74.70023, "loss": 0.24391, "time": 0.29962} -{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.16857, "decode.acc_seg": 75.25717, "aux.loss_seg": 0.08765, "aux.acc_seg": 73.87889, "loss": 0.25621, "time": 0.2989} -{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.15505, "decode.acc_seg": 73.31149, "aux.loss_seg": 0.08151, "aux.acc_seg": 71.93665, "loss": 0.23656, "time": 0.29875} -{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.16611, "decode.acc_seg": 75.23953, "aux.loss_seg": 0.0854, "aux.acc_seg": 73.89868, "loss": 0.25151, "time": 0.29967} -{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.15925, "decode.acc_seg": 74.34977, "aux.loss_seg": 0.08198, "aux.acc_seg": 72.99697, "loss": 0.24123, "time": 0.29988} -{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.15905, "decode.acc_seg": 76.87821, "aux.loss_seg": 0.08384, "aux.acc_seg": 75.4642, "loss": 0.2429, "time": 0.29979} -{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15522, "decode.acc_seg": 75.77771, "aux.loss_seg": 0.08033, "aux.acc_seg": 74.48873, "loss": 0.23556, "time": 0.3018} -{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15404, "decode.acc_seg": 74.57985, "aux.loss_seg": 0.08126, "aux.acc_seg": 73.23515, "loss": 0.23531, "time": 0.30064} -{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.15435, "decode.acc_seg": 74.43016, "aux.loss_seg": 0.08183, "aux.acc_seg": 73.06385, "loss": 0.23618, "time": 0.30117} -{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.16408, "decode.acc_seg": 74.91405, "aux.loss_seg": 0.08558, "aux.acc_seg": 73.56759, "loss": 0.24965, "time": 0.30223} -{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.16315, "decode.acc_seg": 75.24243, "aux.loss_seg": 0.08523, "aux.acc_seg": 73.97283, "loss": 0.24839, "time": 0.29999} -{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.1535, "decode.acc_seg": 75.72011, "aux.loss_seg": 0.07876, "aux.acc_seg": 74.54475, "loss": 0.23226, "time": 0.30056} -{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.15859, "decode.acc_seg": 75.12087, "aux.loss_seg": 0.08246, "aux.acc_seg": 73.8442, "loss": 0.24106, "time": 0.29991} -{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.17301, "decode.acc_seg": 75.4035, "aux.loss_seg": 0.09026, "aux.acc_seg": 73.88695, "loss": 0.26328, "time": 0.29951} -{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.15103, "decode.acc_seg": 74.30325, "aux.loss_seg": 0.07921, "aux.acc_seg": 72.97035, "loss": 0.23024, "time": 0.30095} -{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.16225, "decode.acc_seg": 76.80571, "aux.loss_seg": 0.08499, "aux.acc_seg": 75.45501, "loss": 0.24724, "time": 0.30036} -{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.16507, "decode.acc_seg": 77.01804, "aux.loss_seg": 0.08522, "aux.acc_seg": 75.77595, "loss": 0.25029, "time": 0.2995} -{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.15394, "decode.acc_seg": 75.65804, "aux.loss_seg": 0.08051, "aux.acc_seg": 74.31762, "loss": 0.23445, "time": 0.30018} -{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.15724, "decode.acc_seg": 76.70871, "aux.loss_seg": 0.08296, "aux.acc_seg": 75.37675, "loss": 0.2402, "time": 0.30093} -{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15667, "decode.acc_seg": 74.35054, "aux.loss_seg": 0.08261, "aux.acc_seg": 73.06388, "loss": 0.23928, "time": 0.30091} -{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16353, "decode.acc_seg": 75.46869, "aux.loss_seg": 0.08441, "aux.acc_seg": 74.14654, "loss": 0.24794, "time": 0.30052} -{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.16017, "decode.acc_seg": 74.39316, "aux.loss_seg": 0.08369, "aux.acc_seg": 73.02439, "loss": 0.24386, "time": 0.30038} -{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.16218, "decode.acc_seg": 75.30406, "aux.loss_seg": 0.08507, "aux.acc_seg": 73.93847, "loss": 0.24726, "time": 0.29918} -{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 36160, "data_time": 0.17758, "decode.loss_seg": 0.17012, "decode.acc_seg": 75.69067, "aux.loss_seg": 0.08783, "aux.acc_seg": 74.28544, "loss": 0.25795, "time": 0.48039} -{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.15296, "decode.acc_seg": 74.54552, "aux.loss_seg": 0.07979, "aux.acc_seg": 73.26895, "loss": 0.23274, "time": 0.30021} -{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.16153, "decode.acc_seg": 74.2937, "aux.loss_seg": 0.08485, "aux.acc_seg": 72.90923, "loss": 0.24637, "time": 0.29936} -{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.1595, "decode.acc_seg": 74.18806, "aux.loss_seg": 0.08221, "aux.acc_seg": 72.94122, "loss": 0.24171, "time": 0.2996} -{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.15699, "decode.acc_seg": 74.36507, "aux.loss_seg": 0.08287, "aux.acc_seg": 73.03358, "loss": 0.23986, "time": 0.29994} -{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.16094, "decode.acc_seg": 74.80854, "aux.loss_seg": 0.08396, "aux.acc_seg": 73.46742, "loss": 0.2449, "time": 0.29919} -{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.15501, "decode.acc_seg": 75.36971, "aux.loss_seg": 0.08155, "aux.acc_seg": 74.08532, "loss": 0.23656, "time": 0.2991} -{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.15715, "decode.acc_seg": 74.33319, "aux.loss_seg": 0.08293, "aux.acc_seg": 72.93671, "loss": 0.24008, "time": 0.29998} -{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.15693, "decode.acc_seg": 76.0514, "aux.loss_seg": 0.08171, "aux.acc_seg": 74.72201, "loss": 0.23864, "time": 0.30005} -{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.15312, "decode.acc_seg": 75.57905, "aux.loss_seg": 0.08128, "aux.acc_seg": 74.21532, "loss": 0.23441, "time": 0.30057} -{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.1567, "decode.acc_seg": 74.86702, "aux.loss_seg": 0.08227, "aux.acc_seg": 73.52537, "loss": 0.23897, "time": 0.30053} -{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.15126, "decode.acc_seg": 75.82334, "aux.loss_seg": 0.07948, "aux.acc_seg": 74.46128, "loss": 0.23074, "time": 0.30116} -{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.15813, "decode.acc_seg": 75.81267, "aux.loss_seg": 0.08164, "aux.acc_seg": 74.56488, "loss": 0.23977, "time": 0.30063} -{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.1631, "decode.acc_seg": 74.83991, "aux.loss_seg": 0.08493, "aux.acc_seg": 73.51577, "loss": 0.24803, "time": 0.30229} -{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.15886, "decode.acc_seg": 75.92159, "aux.loss_seg": 0.08378, "aux.acc_seg": 74.59009, "loss": 0.24264, "time": 0.30099} -{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14949, "decode.acc_seg": 75.17121, "aux.loss_seg": 0.07983, "aux.acc_seg": 73.78093, "loss": 0.22931, "time": 0.3021} -{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.16084, "decode.acc_seg": 76.4336, "aux.loss_seg": 0.08587, "aux.acc_seg": 74.8817, "loss": 0.24671, "time": 0.30174} -{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.15342, "decode.acc_seg": 75.11942, "aux.loss_seg": 0.0798, "aux.acc_seg": 73.78715, "loss": 0.23322, "time": 0.30089} -{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.16162, "decode.acc_seg": 75.90986, "aux.loss_seg": 0.08359, "aux.acc_seg": 74.56985, "loss": 0.24521, "time": 0.30213} -{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.16282, "decode.acc_seg": 75.21934, "aux.loss_seg": 0.08535, "aux.acc_seg": 73.80829, "loss": 0.24817, "time": 0.30335} -{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.15847, "decode.acc_seg": 75.69571, "aux.loss_seg": 0.08313, "aux.acc_seg": 74.38175, "loss": 0.2416, "time": 0.30361} -{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.15907, "decode.acc_seg": 75.57566, "aux.loss_seg": 0.08211, "aux.acc_seg": 74.29799, "loss": 0.24118, "time": 0.30258} -{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.15602, "decode.acc_seg": 76.07168, "aux.loss_seg": 0.07976, "aux.acc_seg": 74.8958, "loss": 0.23579, "time": 0.30164} -{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.16089, "decode.acc_seg": 76.11214, "aux.loss_seg": 0.08527, "aux.acc_seg": 74.67285, "loss": 0.24617, "time": 0.30215} -{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.14814, "decode.acc_seg": 74.21519, "aux.loss_seg": 0.0772, "aux.acc_seg": 72.90218, "loss": 0.22533, "time": 0.302} -{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.16614, "decode.acc_seg": 75.57979, "aux.loss_seg": 0.08667, "aux.acc_seg": 74.15238, "loss": 0.25281, "time": 0.30114} -{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 36160, "data_time": 0.15583, "decode.loss_seg": 0.15359, "decode.acc_seg": 75.29174, "aux.loss_seg": 0.0796, "aux.acc_seg": 74.08441, "loss": 0.2332, "time": 0.46923} -{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 36160, "data_time": 0.00612, "decode.loss_seg": 0.15679, "decode.acc_seg": 76.13328, "aux.loss_seg": 0.08162, "aux.acc_seg": 75.00273, "loss": 0.23841, "time": 0.30114} -{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.15773, "decode.acc_seg": 76.64199, "aux.loss_seg": 0.08205, "aux.acc_seg": 75.35147, "loss": 0.23977, "time": 0.30113} -{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.1563, "decode.acc_seg": 75.7706, "aux.loss_seg": 0.08097, "aux.acc_seg": 74.43313, "loss": 0.23727, "time": 0.30019} -{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.15167, "decode.acc_seg": 74.88161, "aux.loss_seg": 0.08014, "aux.acc_seg": 73.4531, "loss": 0.2318, "time": 0.30141} -{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.15559, "decode.acc_seg": 77.05344, "aux.loss_seg": 0.08196, "aux.acc_seg": 75.68126, "loss": 0.23754, "time": 0.30196} -{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.1506, "decode.acc_seg": 75.4979, "aux.loss_seg": 0.07995, "aux.acc_seg": 74.10806, "loss": 0.23054, "time": 0.303} -{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.16295, "decode.acc_seg": 76.50964, "aux.loss_seg": 0.08666, "aux.acc_seg": 74.9807, "loss": 0.2496, "time": 0.3024} -{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 36160, "data_time": 0.00577, "decode.loss_seg": 0.15848, "decode.acc_seg": 76.01152, "aux.loss_seg": 0.08228, "aux.acc_seg": 74.68202, "loss": 0.24076, "time": 0.30198} -{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.15061, "decode.acc_seg": 74.41147, "aux.loss_seg": 0.07865, "aux.acc_seg": 73.17779, "loss": 0.22926, "time": 0.3011} -{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 36160, "data_time": 0.00617, "decode.loss_seg": 0.15892, "decode.acc_seg": 76.11717, "aux.loss_seg": 0.08399, "aux.acc_seg": 74.73282, "loss": 0.24291, "time": 0.30137} -{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 36160, "data_time": 0.00614, "decode.loss_seg": 0.16553, "decode.acc_seg": 74.39934, "aux.loss_seg": 0.08777, "aux.acc_seg": 72.99319, "loss": 0.2533, "time": 0.29994} -{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.1425, "decode.acc_seg": 74.42379, "aux.loss_seg": 0.0753, "aux.acc_seg": 73.15935, "loss": 0.21781, "time": 0.29966} -{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.15686, "decode.acc_seg": 75.40833, "aux.loss_seg": 0.08119, "aux.acc_seg": 74.17123, "loss": 0.23806, "time": 0.30153} -{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.15985, "decode.acc_seg": 74.3816, "aux.loss_seg": 0.08152, "aux.acc_seg": 73.13596, "loss": 0.24138, "time": 0.30292} -{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.15969, "decode.acc_seg": 75.93581, "aux.loss_seg": 0.08432, "aux.acc_seg": 74.51794, "loss": 0.24401, "time": 0.3022} -{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.1553, "decode.acc_seg": 74.85976, "aux.loss_seg": 0.08233, "aux.acc_seg": 73.47805, "loss": 0.23763, "time": 0.30182} -{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 36160, "data_time": 0.00591, "decode.loss_seg": 0.16027, "decode.acc_seg": 75.37905, "aux.loss_seg": 0.08432, "aux.acc_seg": 73.99195, "loss": 0.24459, "time": 0.30033} -{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.15397, "decode.acc_seg": 75.4702, "aux.loss_seg": 0.0808, "aux.acc_seg": 74.17443, "loss": 0.23477, "time": 0.30136} -{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.15828, "decode.acc_seg": 76.01044, "aux.loss_seg": 0.0819, "aux.acc_seg": 74.74429, "loss": 0.24018, "time": 0.30209} -{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.15477, "decode.acc_seg": 74.62315, "aux.loss_seg": 0.08068, "aux.acc_seg": 73.28485, "loss": 0.23545, "time": 0.30208} -{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.16028, "decode.acc_seg": 74.68657, "aux.loss_seg": 0.08302, "aux.acc_seg": 73.47445, "loss": 0.2433, "time": 0.30181} -{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 36160, "data_time": 0.0066, "decode.loss_seg": 0.15965, "decode.acc_seg": 73.79919, "aux.loss_seg": 0.08259, "aux.acc_seg": 72.57388, "loss": 0.24224, "time": 0.30204} -{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.15788, "decode.acc_seg": 75.26416, "aux.loss_seg": 0.0815, "aux.acc_seg": 74.03288, "loss": 0.23938, "time": 0.30147} -{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.16466, "decode.acc_seg": 74.72172, "aux.loss_seg": 0.08707, "aux.acc_seg": 73.28224, "loss": 0.25173, "time": 0.30181} -{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 36160, "data_time": 0.17917, "decode.loss_seg": 0.15524, "decode.acc_seg": 74.45447, "aux.loss_seg": 0.08143, "aux.acc_seg": 73.16914, "loss": 0.23668, "time": 0.47519} -{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.14615, "decode.acc_seg": 75.45702, "aux.loss_seg": 0.07666, "aux.acc_seg": 74.19373, "loss": 0.22281, "time": 0.30011} -{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.15989, "decode.acc_seg": 74.79511, "aux.loss_seg": 0.08187, "aux.acc_seg": 73.58676, "loss": 0.24176, "time": 0.29997} -{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15873, "decode.acc_seg": 75.01727, "aux.loss_seg": 0.08263, "aux.acc_seg": 73.73238, "loss": 0.24136, "time": 0.29949} -{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.15568, "decode.acc_seg": 76.66055, "aux.loss_seg": 0.08127, "aux.acc_seg": 75.32875, "loss": 0.23695, "time": 0.29951} -{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.16411, "decode.acc_seg": 76.55224, "aux.loss_seg": 0.08504, "aux.acc_seg": 75.25526, "loss": 0.24914, "time": 0.29987} -{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.15645, "decode.acc_seg": 75.20973, "aux.loss_seg": 0.08208, "aux.acc_seg": 73.85271, "loss": 0.23854, "time": 0.30091} -{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.15664, "decode.acc_seg": 74.68254, "aux.loss_seg": 0.0823, "aux.acc_seg": 73.35248, "loss": 0.23894, "time": 0.30017} -{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4844, "mAcc": 0.5993, "aAcc": 0.8241, "IoU.wall": 0.7592, "IoU.building": 0.8113, "IoU.sky": 0.9355, "IoU.floor": 0.8097, "IoU.tree": 0.7446, "IoU.ceiling": 0.8391, "IoU.road": 0.8301, "IoU.bed ": 0.8666, "IoU.windowpane": 0.5912, "IoU.grass": 0.6684, "IoU.cabinet": 0.6111, "IoU.sidewalk": 0.6636, "IoU.person": 0.7796, "IoU.earth": 0.4006, "IoU.door": 0.4477, "IoU.table": 0.5819, "IoU.mountain": 0.5746, "IoU.plant": 0.5171, "IoU.curtain": 0.7038, "IoU.chair": 0.5577, "IoU.car": 0.8344, "IoU.water": 0.5411, "IoU.painting": 0.7524, "IoU.sofa": 0.611, "IoU.shelf": 0.3898, "IoU.house": 0.3771, "IoU.sea": 0.5664, "IoU.mirror": 0.6353, "IoU.rug": 0.6271, "IoU.field": 0.2727, "IoU.armchair": 0.3966, "IoU.seat": 0.6025, "IoU.fence": 0.3819, "IoU.desk": 0.498, "IoU.rock": 0.4392, "IoU.wardrobe": 0.4767, "IoU.lamp": 0.6143, "IoU.bathtub": 0.6956, "IoU.railing": 0.3644, "IoU.cushion": 0.569, "IoU.base": 0.2756, "IoU.box": 0.2559, "IoU.column": 0.4279, "IoU.signboard": 0.3711, "IoU.chest of drawers": 0.3978, "IoU.counter": 0.3115, "IoU.sand": 0.5005, "IoU.sink": 0.6845, "IoU.skyscraper": 0.6868, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7892, "IoU.grandstand": 0.3862, "IoU.path": 0.2657, "IoU.stairs": 0.3187, "IoU.runway": 0.6766, "IoU.case": 0.4004, "IoU.pool table": 0.9199, "IoU.pillow": 0.5378, "IoU.screen door": 0.6513, "IoU.stairway": 0.3464, "IoU.river": 0.0877, "IoU.bridge": 0.7244, "IoU.bookcase": 0.3797, "IoU.blind": NaN, "IoU.coffee table": 0.512, "IoU.toilet": 0.8195, "IoU.flower": 0.4641, "IoU.book": 0.4408, "IoU.hill": 0.1173, "IoU.bench": 0.4296, "IoU.countertop": 0.5381, "IoU.stove": 0.7381, "IoU.palm": 0.4923, "IoU.kitchen island": 0.368, "IoU.computer": 0.6435, "IoU.swivel chair": 0.4481, "IoU.boat": 0.6532, "IoU.bar": 0.4287, "IoU.arcade machine": 0.4552, "IoU.hovel": 0.304, "IoU.bus": 0.8815, "IoU.towel": 0.6278, "IoU.light": 0.5361, "IoU.truck": 0.2546, "IoU.tower": 0.1413, "IoU.chandelier": 0.6493, "IoU.awning": 0.286, "IoU.streetlight": 0.2284, "IoU.booth": 0.6214, "IoU.television receiver": NaN, "IoU.airplane": 0.5975, "IoU.dirt track": 0.0026, "IoU.apparel": 0.2978, "IoU.pole": 0.1896, "IoU.land": 0.0446, "IoU.bannister": 0.1099, "IoU.escalator": 0.2788, "IoU.ottoman": 0.4166, "IoU.bottle": NaN, "IoU.buffet": 0.416, "IoU.poster": 0.3348, "IoU.stage": 0.1495, "IoU.van": 0.3888, "IoU.ship": 0.7663, "IoU.fountain": 0.2123, "IoU.conveyer belt": 0.8253, "IoU.canopy": 0.2243, "IoU.washer": 0.761, "IoU.plaything": 0.1941, "IoU.swimming pool": 0.7158, "IoU.stool": 0.4059, "IoU.barrel": 0.4823, "IoU.basket": 0.3439, "IoU.waterfall": 0.418, "IoU.tent": 0.9239, "IoU.bag": 0.112, "IoU.minibike": 0.7237, "IoU.cradle": NaN, "IoU.oven": 0.4651, "IoU.ball": 0.4462, "IoU.food": 0.3894, "IoU.step": 0.1091, "IoU.tank": 0.5054, "IoU.trade name": 0.2908, "IoU.microwave": 0.8038, "IoU.pot": 0.5184, "IoU.animal": NaN, "IoU.bicycle": 0.5332, "IoU.lake": 0.5179, "IoU.dishwasher": 0.6179, "IoU.screen": 0.6536, "IoU.blanket": 0.0969, "IoU.sculpture": 0.6285, "IoU.hood": 0.5841, "IoU.sconce": 0.4464, "IoU.vase": 0.3709, "IoU.traffic light": 0.3009, "IoU.tray": 0.0897, "IoU.ashcan": 0.4302, "IoU.fan": 0.6201, "IoU.pier": 0.3356, "IoU.crt screen": 0.0556, "IoU.plate": 0.5645, "IoU.monitor": 0.1186, "IoU.bulletin board": 0.4454, "IoU.shower": 0.0207, "IoU.radiator": 0.6298, "IoU.glass": 0.1515, "IoU.clock": 0.4168, "IoU.flag": 0.4497, "Acc.wall": 0.8878, "Acc.building": 0.9087, "Acc.sky": 0.9686, "Acc.floor": 0.9006, "Acc.tree": 0.8621, "Acc.ceiling": 0.9303, "Acc.road": 0.9066, "Acc.bed ": 0.9486, "Acc.windowpane": 0.7809, "Acc.grass": 0.8372, "Acc.cabinet": 0.7525, "Acc.sidewalk": 0.803, "Acc.person": 0.9166, "Acc.earth": 0.5541, "Acc.door": 0.581, "Acc.table": 0.737, "Acc.mountain": 0.7171, "Acc.plant": 0.5961, "Acc.curtain": 0.8037, "Acc.chair": 0.7104, "Acc.car": 0.9182, "Acc.water": 0.7171, "Acc.painting": 0.8555, "Acc.sofa": 0.8269, "Acc.shelf": 0.5437, "Acc.house": 0.4914, "Acc.sea": 0.7347, "Acc.mirror": 0.6997, "Acc.rug": 0.7343, "Acc.field": 0.4314, "Acc.armchair": 0.55, "Acc.seat": 0.8014, "Acc.fence": 0.4976, "Acc.desk": 0.6586, "Acc.rock": 0.6482, "Acc.wardrobe": 0.571, "Acc.lamp": 0.7271, "Acc.bathtub": 0.7686, "Acc.railing": 0.4919, "Acc.cushion": 0.6992, "Acc.base": 0.3785, "Acc.box": 0.3103, "Acc.column": 0.5187, "Acc.signboard": 0.5301, "Acc.chest of drawers": 0.5563, "Acc.counter": 0.4052, "Acc.sand": 0.7807, "Acc.sink": 0.7827, "Acc.skyscraper": 0.8488, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8868, "Acc.grandstand": 0.6247, "Acc.path": 0.374, "Acc.stairs": 0.395, "Acc.runway": 0.8706, "Acc.case": 0.5126, "Acc.pool table": 0.9631, "Acc.pillow": 0.6333, "Acc.screen door": 0.7188, "Acc.stairway": 0.4296, "Acc.river": 0.2071, "Acc.bridge": 0.823, "Acc.bookcase": 0.4492, "Acc.blind": NaN, "Acc.coffee table": 0.7845, "Acc.toilet": 0.88, "Acc.flower": 0.6144, "Acc.book": 0.6399, "Acc.hill": 0.2176, "Acc.bench": 0.5152, "Acc.countertop": 0.7014, "Acc.stove": 0.8183, "Acc.palm": 0.7857, "Acc.kitchen island": 0.7093, "Acc.computer": 0.7565, "Acc.swivel chair": 0.5925, "Acc.boat": 0.7767, "Acc.bar": 0.5752, "Acc.arcade machine": 0.4924, "Acc.hovel": 0.3188, "Acc.bus": 0.9549, "Acc.towel": 0.7916, "Acc.light": 0.618, "Acc.truck": 0.3703, "Acc.tower": 0.2433, "Acc.chandelier": 0.8124, "Acc.awning": 0.3307, "Acc.streetlight": 0.2853, "Acc.booth": 0.7402, "Acc.television receiver": NaN, "Acc.airplane": 0.7567, "Acc.dirt track": 0.0041, "Acc.apparel": 0.4499, "Acc.pole": 0.2806, "Acc.land": 0.0613, "Acc.bannister": 0.1405, "Acc.escalator": 0.2998, "Acc.ottoman": 0.6056, "Acc.bottle": NaN, "Acc.buffet": 0.4776, "Acc.poster": 0.5319, "Acc.stage": 0.2004, "Acc.van": 0.5067, "Acc.ship": 0.911, "Acc.fountain": 0.2173, "Acc.conveyer belt": 0.903, "Acc.canopy": 0.3107, "Acc.washer": 0.7922, "Acc.plaything": 0.3224, "Acc.swimming pool": 0.793, "Acc.stool": 0.5454, "Acc.barrel": 0.7223, "Acc.basket": 0.4251, "Acc.waterfall": 0.535, "Acc.tent": 0.9813, "Acc.bag": 0.1335, "Acc.minibike": 0.8665, "Acc.cradle": NaN, "Acc.oven": 0.6548, "Acc.ball": 0.4811, "Acc.food": 0.4775, "Acc.step": 0.1359, "Acc.tank": 0.5778, "Acc.trade name": 0.362, "Acc.microwave": 0.8962, "Acc.pot": 0.5775, "Acc.animal": NaN, "Acc.bicycle": 0.7803, "Acc.lake": 0.6107, "Acc.dishwasher": 0.7067, "Acc.screen": 0.7447, "Acc.blanket": 0.1164, "Acc.sculpture": 0.8144, "Acc.hood": 0.6671, "Acc.sconce": 0.5493, "Acc.vase": 0.5836, "Acc.traffic light": 0.4254, "Acc.tray": 0.2184, "Acc.ashcan": 0.5477, "Acc.fan": 0.7855, "Acc.pier": 0.4948, "Acc.crt screen": 0.1794, "Acc.plate": 0.7472, "Acc.monitor": 0.129, "Acc.bulletin board": 0.549, "Acc.shower": 0.0341, "Acc.radiator": 0.6974, "Acc.glass": 0.1664, "Acc.clock": 0.5249, "Acc.flag": 0.4959} -{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 36160, "data_time": 1.29755, "decode.loss_seg": 0.15205, "decode.acc_seg": 75.48626, "aux.loss_seg": 0.07947, "aux.acc_seg": 74.25329, "loss": 0.23152, "time": 1.59502} -{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.15537, "decode.acc_seg": 76.2204, "aux.loss_seg": 0.08151, "aux.acc_seg": 74.87462, "loss": 0.23688, "time": 0.29995} -{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.15758, "decode.acc_seg": 75.41511, "aux.loss_seg": 0.08137, "aux.acc_seg": 74.22078, "loss": 0.23895, "time": 0.3012} -{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.15483, "decode.acc_seg": 75.00082, "aux.loss_seg": 0.0815, "aux.acc_seg": 73.63645, "loss": 0.23633, "time": 0.29973} -{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.16146, "decode.acc_seg": 75.53116, "aux.loss_seg": 0.08295, "aux.acc_seg": 74.335, "loss": 0.24441, "time": 0.30081} -{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.16683, "decode.acc_seg": 74.42941, "aux.loss_seg": 0.08769, "aux.acc_seg": 73.01915, "loss": 0.25452, "time": 0.30033} -{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.15383, "decode.acc_seg": 73.8487, "aux.loss_seg": 0.08279, "aux.acc_seg": 72.34934, "loss": 0.23662, "time": 0.30219} -{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.1557, "decode.acc_seg": 75.47077, "aux.loss_seg": 0.08303, "aux.acc_seg": 74.08366, "loss": 0.23873, "time": 0.30015} -{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.15777, "decode.acc_seg": 75.89931, "aux.loss_seg": 0.08219, "aux.acc_seg": 74.56402, "loss": 0.23996, "time": 0.30059} -{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.15234, "decode.acc_seg": 76.51736, "aux.loss_seg": 0.08029, "aux.acc_seg": 75.15282, "loss": 0.23264, "time": 0.30003} -{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 36160, "data_time": 0.00441, "decode.loss_seg": 0.1487, "decode.acc_seg": 75.21872, "aux.loss_seg": 0.07736, "aux.acc_seg": 73.97245, "loss": 0.22607, "time": 0.29952} -{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 36160, "data_time": 0.00435, "decode.loss_seg": 0.15262, "decode.acc_seg": 75.39178, "aux.loss_seg": 0.07998, "aux.acc_seg": 74.10362, "loss": 0.23261, "time": 0.29963} -{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.15115, "decode.acc_seg": 76.02855, "aux.loss_seg": 0.07785, "aux.acc_seg": 74.88087, "loss": 0.229, "time": 0.30064} -{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.16104, "decode.acc_seg": 75.45898, "aux.loss_seg": 0.08414, "aux.acc_seg": 74.06575, "loss": 0.24518, "time": 0.30009} -{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 36160, "data_time": 0.00448, "decode.loss_seg": 0.15419, "decode.acc_seg": 74.10017, "aux.loss_seg": 0.08093, "aux.acc_seg": 72.76564, "loss": 0.23512, "time": 0.29945} -{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.15535, "decode.acc_seg": 76.00145, "aux.loss_seg": 0.08011, "aux.acc_seg": 74.76627, "loss": 0.23546, "time": 0.29856} -{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 36160, "data_time": 0.17881, "decode.loss_seg": 0.15316, "decode.acc_seg": 74.36876, "aux.loss_seg": 0.08026, "aux.acc_seg": 73.08277, "loss": 0.23342, "time": 0.47355} -{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 36160, "data_time": 0.00427, "decode.loss_seg": 0.14351, "decode.acc_seg": 73.92981, "aux.loss_seg": 0.07552, "aux.acc_seg": 72.61725, "loss": 0.21903, "time": 0.30058} -{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 36160, "data_time": 0.00455, "decode.loss_seg": 0.15082, "decode.acc_seg": 75.50288, "aux.loss_seg": 0.08005, "aux.acc_seg": 74.17533, "loss": 0.23088, "time": 0.29992} -{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.15457, "decode.acc_seg": 75.78882, "aux.loss_seg": 0.08116, "aux.acc_seg": 74.49053, "loss": 0.23573, "time": 0.30253} -{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 36160, "data_time": 0.00444, "decode.loss_seg": 0.15145, "decode.acc_seg": 74.1129, "aux.loss_seg": 0.07956, "aux.acc_seg": 72.85934, "loss": 0.23101, "time": 0.29955} -{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.16573, "decode.acc_seg": 75.71035, "aux.loss_seg": 0.08709, "aux.acc_seg": 74.3435, "loss": 0.25281, "time": 0.29911} -{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.16018, "decode.acc_seg": 73.83786, "aux.loss_seg": 0.08248, "aux.acc_seg": 72.67601, "loss": 0.24267, "time": 0.29926} -{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.15737, "decode.acc_seg": 75.78307, "aux.loss_seg": 0.08209, "aux.acc_seg": 74.41498, "loss": 0.23946, "time": 0.2987} -{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.15487, "decode.acc_seg": 75.24069, "aux.loss_seg": 0.08148, "aux.acc_seg": 73.89305, "loss": 0.23635, "time": 0.29862} -{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.15181, "decode.acc_seg": 75.0741, "aux.loss_seg": 0.08032, "aux.acc_seg": 73.70685, "loss": 0.23213, "time": 0.30156} -{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.15337, "decode.acc_seg": 75.27328, "aux.loss_seg": 0.08129, "aux.acc_seg": 73.90422, "loss": 0.23465, "time": 0.30107} -{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 36160, "data_time": 0.0043, "decode.loss_seg": 0.15358, "decode.acc_seg": 74.04636, "aux.loss_seg": 0.08213, "aux.acc_seg": 72.64209, "loss": 0.23572, "time": 0.29873} -{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 36160, "data_time": 0.00434, "decode.loss_seg": 0.14596, "decode.acc_seg": 75.77291, "aux.loss_seg": 0.07733, "aux.acc_seg": 74.46742, "loss": 0.22329, "time": 0.29966} -{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.16346, "decode.acc_seg": 76.28946, "aux.loss_seg": 0.08546, "aux.acc_seg": 74.95101, "loss": 0.24892, "time": 0.29918} -{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 36160, "data_time": 0.00448, "decode.loss_seg": 0.15729, "decode.acc_seg": 75.44985, "aux.loss_seg": 0.0816, "aux.acc_seg": 74.15863, "loss": 0.23889, "time": 0.29914} -{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 36160, "data_time": 0.0045, "decode.loss_seg": 0.16482, "decode.acc_seg": 73.4274, "aux.loss_seg": 0.08526, "aux.acc_seg": 72.13333, "loss": 0.25008, "time": 0.30176} -{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.15233, "decode.acc_seg": 76.05075, "aux.loss_seg": 0.08003, "aux.acc_seg": 74.71277, "loss": 0.23235, "time": 0.30142} -{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.15503, "decode.acc_seg": 73.69544, "aux.loss_seg": 0.08118, "aux.acc_seg": 72.40144, "loss": 0.23621, "time": 0.30227} -{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.1581, "decode.acc_seg": 75.21912, "aux.loss_seg": 0.08278, "aux.acc_seg": 73.93343, "loss": 0.24088, "time": 0.30134} -{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.14984, "decode.acc_seg": 74.65845, "aux.loss_seg": 0.07776, "aux.acc_seg": 73.48033, "loss": 0.22759, "time": 0.30041} -{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.15681, "decode.acc_seg": 74.91948, "aux.loss_seg": 0.08243, "aux.acc_seg": 73.54936, "loss": 0.23923, "time": 0.30204} -{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.15293, "decode.acc_seg": 74.76346, "aux.loss_seg": 0.08003, "aux.acc_seg": 73.4455, "loss": 0.23296, "time": 0.3007} -{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.16049, "decode.acc_seg": 76.60115, "aux.loss_seg": 0.08511, "aux.acc_seg": 75.19813, "loss": 0.2456, "time": 0.29979} -{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.15664, "decode.acc_seg": 76.59947, "aux.loss_seg": 0.07962, "aux.acc_seg": 75.41671, "loss": 0.23626, "time": 0.30156} -{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.15496, "decode.acc_seg": 76.48971, "aux.loss_seg": 0.08241, "aux.acc_seg": 75.0497, "loss": 0.23737, "time": 0.30116} -{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 36160, "data_time": 0.17797, "decode.loss_seg": 0.15802, "decode.acc_seg": 76.60335, "aux.loss_seg": 0.0833, "aux.acc_seg": 75.23215, "loss": 0.24131, "time": 0.4767} -{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.14612, "decode.acc_seg": 74.31037, "aux.loss_seg": 0.07662, "aux.acc_seg": 73.05484, "loss": 0.22274, "time": 0.30115} -{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 36160, "data_time": 0.0059, "decode.loss_seg": 0.15841, "decode.acc_seg": 75.44201, "aux.loss_seg": 0.08171, "aux.acc_seg": 74.22946, "loss": 0.24012, "time": 0.29958} -{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.15287, "decode.acc_seg": 73.8017, "aux.loss_seg": 0.08026, "aux.acc_seg": 72.42092, "loss": 0.23313, "time": 0.29889} -{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.15398, "decode.acc_seg": 73.5578, "aux.loss_seg": 0.08071, "aux.acc_seg": 72.26223, "loss": 0.2347, "time": 0.2988} -{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 36160, "data_time": 0.00555, "decode.loss_seg": 0.14185, "decode.acc_seg": 75.1866, "aux.loss_seg": 0.07496, "aux.acc_seg": 73.90544, "loss": 0.21681, "time": 0.29877} -{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15648, "decode.acc_seg": 75.3691, "aux.loss_seg": 0.08184, "aux.acc_seg": 74.02206, "loss": 0.23831, "time": 0.30062} -{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.15135, "decode.acc_seg": 76.78601, "aux.loss_seg": 0.07946, "aux.acc_seg": 75.48696, "loss": 0.23081, "time": 0.3018} -{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.1556, "decode.acc_seg": 75.50814, "aux.loss_seg": 0.08016, "aux.acc_seg": 74.24622, "loss": 0.23576, "time": 0.30213} -{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.157, "decode.acc_seg": 75.87571, "aux.loss_seg": 0.08283, "aux.acc_seg": 74.47739, "loss": 0.23983, "time": 0.30171} -{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.16, "decode.acc_seg": 75.35725, "aux.loss_seg": 0.08396, "aux.acc_seg": 74.04376, "loss": 0.24396, "time": 0.30123} -{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.15506, "decode.acc_seg": 75.78915, "aux.loss_seg": 0.0823, "aux.acc_seg": 74.39694, "loss": 0.23736, "time": 0.29999} -{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15886, "decode.acc_seg": 76.70753, "aux.loss_seg": 0.08363, "aux.acc_seg": 75.32627, "loss": 0.2425, "time": 0.3024} -{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.15134, "decode.acc_seg": 75.20604, "aux.loss_seg": 0.07932, "aux.acc_seg": 73.86619, "loss": 0.23066, "time": 0.30158} -{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.15198, "decode.acc_seg": 75.08269, "aux.loss_seg": 0.08057, "aux.acc_seg": 73.75573, "loss": 0.23255, "time": 0.29967} -{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.15776, "decode.acc_seg": 75.69909, "aux.loss_seg": 0.08202, "aux.acc_seg": 74.41264, "loss": 0.23978, "time": 0.30098} -{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14452, "decode.acc_seg": 74.91318, "aux.loss_seg": 0.07614, "aux.acc_seg": 73.63821, "loss": 0.22066, "time": 0.30154} -{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.15937, "decode.acc_seg": 76.62004, "aux.loss_seg": 0.08435, "aux.acc_seg": 75.16841, "loss": 0.24372, "time": 0.30058} -{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.15823, "decode.acc_seg": 75.81107, "aux.loss_seg": 0.08346, "aux.acc_seg": 74.49947, "loss": 0.24168, "time": 0.30045} -{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.1561, "decode.acc_seg": 75.18047, "aux.loss_seg": 0.0818, "aux.acc_seg": 73.88486, "loss": 0.23789, "time": 0.30078} -{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.153, "decode.acc_seg": 76.47687, "aux.loss_seg": 0.08116, "aux.acc_seg": 75.12981, "loss": 0.23416, "time": 0.30147} -{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15457, "decode.acc_seg": 75.04615, "aux.loss_seg": 0.08059, "aux.acc_seg": 73.76709, "loss": 0.23516, "time": 0.30014} -{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.15342, "decode.acc_seg": 76.69658, "aux.loss_seg": 0.08135, "aux.acc_seg": 75.29493, "loss": 0.23477, "time": 0.30111} -{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.14859, "decode.acc_seg": 75.60196, "aux.loss_seg": 0.07826, "aux.acc_seg": 74.29342, "loss": 0.22685, "time": 0.3004} -{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.15855, "decode.acc_seg": 75.11233, "aux.loss_seg": 0.08378, "aux.acc_seg": 73.7464, "loss": 0.24234, "time": 0.30136} -{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.1602, "decode.acc_seg": 75.07756, "aux.loss_seg": 0.08272, "aux.acc_seg": 73.82366, "loss": 0.24293, "time": 0.30044} -{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 36160, "data_time": 0.19602, "decode.loss_seg": 0.15243, "decode.acc_seg": 75.03806, "aux.loss_seg": 0.07959, "aux.acc_seg": 73.7391, "loss": 0.23202, "time": 0.49197} -{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14705, "decode.acc_seg": 75.51401, "aux.loss_seg": 0.07774, "aux.acc_seg": 74.23951, "loss": 0.22479, "time": 0.30006} -{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15989, "decode.acc_seg": 77.37292, "aux.loss_seg": 0.08213, "aux.acc_seg": 76.14558, "loss": 0.24202, "time": 0.2994} -{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.15685, "decode.acc_seg": 75.42388, "aux.loss_seg": 0.08196, "aux.acc_seg": 74.1337, "loss": 0.2388, "time": 0.29995} -{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15826, "decode.acc_seg": 75.41492, "aux.loss_seg": 0.08159, "aux.acc_seg": 74.15344, "loss": 0.23985, "time": 0.30022} -{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.15486, "decode.acc_seg": 74.04662, "aux.loss_seg": 0.08099, "aux.acc_seg": 72.69498, "loss": 0.23586, "time": 0.30043} -{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.1625, "decode.acc_seg": 74.75488, "aux.loss_seg": 0.08403, "aux.acc_seg": 73.49435, "loss": 0.24653, "time": 0.30215} -{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.15189, "decode.acc_seg": 76.27209, "aux.loss_seg": 0.07978, "aux.acc_seg": 74.98788, "loss": 0.23167, "time": 0.30135} -{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.15001, "decode.acc_seg": 75.81876, "aux.loss_seg": 0.07962, "aux.acc_seg": 74.48514, "loss": 0.22962, "time": 0.30209} -{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.15071, "decode.acc_seg": 75.29974, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.08084, "loss": 0.2298, "time": 0.30113} -{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.15472, "decode.acc_seg": 75.20071, "aux.loss_seg": 0.08164, "aux.acc_seg": 73.81993, "loss": 0.23636, "time": 0.30234} -{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15378, "decode.acc_seg": 76.38669, "aux.loss_seg": 0.08127, "aux.acc_seg": 75.02226, "loss": 0.23505, "time": 0.30202} -{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.14733, "decode.acc_seg": 74.85693, "aux.loss_seg": 0.07814, "aux.acc_seg": 73.47611, "loss": 0.22547, "time": 0.30233} -{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.16308, "decode.acc_seg": 75.57649, "aux.loss_seg": 0.08589, "aux.acc_seg": 74.15448, "loss": 0.24897, "time": 0.30136} -{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.15364, "decode.acc_seg": 76.74695, "aux.loss_seg": 0.08136, "aux.acc_seg": 75.37543, "loss": 0.235, "time": 0.30171} -{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.15737, "decode.acc_seg": 75.55239, "aux.loss_seg": 0.08296, "aux.acc_seg": 74.10934, "loss": 0.24032, "time": 0.30053} -{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.1491, "decode.acc_seg": 75.26794, "aux.loss_seg": 0.07764, "aux.acc_seg": 74.02303, "loss": 0.22674, "time": 0.3007} -{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15965, "decode.acc_seg": 75.36735, "aux.loss_seg": 0.08397, "aux.acc_seg": 74.02209, "loss": 0.24362, "time": 0.30028} -{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.15818, "decode.acc_seg": 76.03003, "aux.loss_seg": 0.08185, "aux.acc_seg": 74.76455, "loss": 0.24004, "time": 0.30068} -{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.16067, "decode.acc_seg": 75.92737, "aux.loss_seg": 0.08461, "aux.acc_seg": 74.58645, "loss": 0.24527, "time": 0.30037} -{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.14968, "decode.acc_seg": 75.63665, "aux.loss_seg": 0.07853, "aux.acc_seg": 74.28099, "loss": 0.2282, "time": 0.29955} -{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.15479, "decode.acc_seg": 74.73956, "aux.loss_seg": 0.08204, "aux.acc_seg": 73.50515, "loss": 0.23682, "time": 0.30083} -{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.15026, "decode.acc_seg": 75.51375, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.2875, "loss": 0.2293, "time": 0.29996} -{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.15063, "decode.acc_seg": 75.6201, "aux.loss_seg": 0.07951, "aux.acc_seg": 74.27121, "loss": 0.23013, "time": 0.30053} -{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.15595, "decode.acc_seg": 75.96827, "aux.loss_seg": 0.08255, "aux.acc_seg": 74.5803, "loss": 0.23851, "time": 0.30195} -{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 36160, "data_time": 0.18192, "decode.loss_seg": 0.15475, "decode.acc_seg": 75.90764, "aux.loss_seg": 0.08145, "aux.acc_seg": 74.52367, "loss": 0.23621, "time": 0.47786} -{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.14193, "decode.acc_seg": 74.83944, "aux.loss_seg": 0.07476, "aux.acc_seg": 73.61793, "loss": 0.21669, "time": 0.30143} -{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.14086, "decode.acc_seg": 76.08826, "aux.loss_seg": 0.07552, "aux.acc_seg": 74.72466, "loss": 0.21638, "time": 0.30157} -{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 36160, "data_time": 0.00619, "decode.loss_seg": 0.15449, "decode.acc_seg": 75.2893, "aux.loss_seg": 0.08179, "aux.acc_seg": 73.85075, "loss": 0.23627, "time": 0.30172} -{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.15665, "decode.acc_seg": 77.00778, "aux.loss_seg": 0.08231, "aux.acc_seg": 75.63428, "loss": 0.23895, "time": 0.30154} -{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.15002, "decode.acc_seg": 74.8748, "aux.loss_seg": 0.07857, "aux.acc_seg": 73.57369, "loss": 0.22859, "time": 0.30248} -{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.15239, "decode.acc_seg": 76.84441, "aux.loss_seg": 0.07909, "aux.acc_seg": 75.6195, "loss": 0.23148, "time": 0.30354} -{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.16272, "decode.acc_seg": 76.44975, "aux.loss_seg": 0.08354, "aux.acc_seg": 75.21241, "loss": 0.24626, "time": 0.30384} -{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.15689, "decode.acc_seg": 74.43011, "aux.loss_seg": 0.08191, "aux.acc_seg": 73.13204, "loss": 0.23879, "time": 0.30345} -{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.15023, "decode.acc_seg": 76.02406, "aux.loss_seg": 0.07989, "aux.acc_seg": 74.70192, "loss": 0.23012, "time": 0.3029} -{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15634, "decode.acc_seg": 74.19018, "aux.loss_seg": 0.08157, "aux.acc_seg": 72.89921, "loss": 0.23792, "time": 0.3027} -{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.15456, "decode.acc_seg": 75.14989, "aux.loss_seg": 0.08062, "aux.acc_seg": 73.8117, "loss": 0.23518, "time": 0.3045} -{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.15201, "decode.acc_seg": 75.96447, "aux.loss_seg": 0.08076, "aux.acc_seg": 74.61319, "loss": 0.23276, "time": 0.30375} -{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.15488, "decode.acc_seg": 75.92175, "aux.loss_seg": 0.0825, "aux.acc_seg": 74.57408, "loss": 0.23738, "time": 0.30294} -{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.15026, "decode.acc_seg": 74.08864, "aux.loss_seg": 0.0794, "aux.acc_seg": 72.76818, "loss": 0.22966, "time": 0.30228} -{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.15006, "decode.acc_seg": 74.57751, "aux.loss_seg": 0.07972, "aux.acc_seg": 73.2383, "loss": 0.22978, "time": 0.30351} -{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.15811, "decode.acc_seg": 74.69269, "aux.loss_seg": 0.08066, "aux.acc_seg": 73.50021, "loss": 0.23877, "time": 0.3029} -{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.15351, "decode.acc_seg": 75.66321, "aux.loss_seg": 0.0808, "aux.acc_seg": 74.37424, "loss": 0.2343, "time": 0.30337} -{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.1565, "decode.acc_seg": 76.47832, "aux.loss_seg": 0.08055, "aux.acc_seg": 75.20174, "loss": 0.23705, "time": 0.30344} -{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 36160, "data_time": 0.00593, "decode.loss_seg": 0.15833, "decode.acc_seg": 75.06872, "aux.loss_seg": 0.08188, "aux.acc_seg": 73.82336, "loss": 0.24021, "time": 0.30512} -{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15693, "decode.acc_seg": 75.54078, "aux.loss_seg": 0.08295, "aux.acc_seg": 74.1535, "loss": 0.23988, "time": 0.3043} -{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.15565, "decode.acc_seg": 76.58159, "aux.loss_seg": 0.08268, "aux.acc_seg": 75.24319, "loss": 0.23834, "time": 0.30731} -{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.15092, "decode.acc_seg": 74.97593, "aux.loss_seg": 0.0803, "aux.acc_seg": 73.58264, "loss": 0.23123, "time": 0.30296} -{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 36160, "data_time": 0.00585, "decode.loss_seg": 0.15943, "decode.acc_seg": 74.82537, "aux.loss_seg": 0.08343, "aux.acc_seg": 73.43866, "loss": 0.24286, "time": 0.30286} -{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.16222, "decode.acc_seg": 75.80235, "aux.loss_seg": 0.08416, "aux.acc_seg": 74.48033, "loss": 0.24638, "time": 0.30396} -{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 36160, "data_time": 0.16157, "decode.loss_seg": 0.15329, "decode.acc_seg": 75.67575, "aux.loss_seg": 0.08008, "aux.acc_seg": 74.43013, "loss": 0.23337, "time": 0.46998} -{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.14389, "decode.acc_seg": 75.58213, "aux.loss_seg": 0.07627, "aux.acc_seg": 74.26406, "loss": 0.22016, "time": 0.30073} -{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15689, "decode.acc_seg": 74.80162, "aux.loss_seg": 0.08368, "aux.acc_seg": 73.43363, "loss": 0.24057, "time": 0.30018} -{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15253, "decode.acc_seg": 75.92463, "aux.loss_seg": 0.08068, "aux.acc_seg": 74.56003, "loss": 0.23321, "time": 0.29978} -{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14674, "decode.acc_seg": 75.21418, "aux.loss_seg": 0.07692, "aux.acc_seg": 73.96429, "loss": 0.22366, "time": 0.30073} -{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14843, "decode.acc_seg": 75.78581, "aux.loss_seg": 0.0777, "aux.acc_seg": 74.53783, "loss": 0.22613, "time": 0.3} -{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.15672, "decode.acc_seg": 77.31845, "aux.loss_seg": 0.08216, "aux.acc_seg": 75.97113, "loss": 0.23888, "time": 0.29997} -{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.15271, "decode.acc_seg": 75.37724, "aux.loss_seg": 0.07955, "aux.acc_seg": 74.07309, "loss": 0.23226, "time": 0.30277} -{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.15107, "decode.acc_seg": 76.7279, "aux.loss_seg": 0.08016, "aux.acc_seg": 75.36616, "loss": 0.23123, "time": 0.30142} -{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14598, "decode.acc_seg": 73.59443, "aux.loss_seg": 0.07703, "aux.acc_seg": 72.29561, "loss": 0.223, "time": 0.30312} -{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15459, "decode.acc_seg": 74.80966, "aux.loss_seg": 0.08237, "aux.acc_seg": 73.38966, "loss": 0.23696, "time": 0.30083} -{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.15867, "decode.acc_seg": 74.09963, "aux.loss_seg": 0.08294, "aux.acc_seg": 72.73868, "loss": 0.24161, "time": 0.30133} -{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.1492, "decode.acc_seg": 75.69786, "aux.loss_seg": 0.07783, "aux.acc_seg": 74.49171, "loss": 0.22702, "time": 0.30106} -{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15313, "decode.acc_seg": 74.80549, "aux.loss_seg": 0.08182, "aux.acc_seg": 73.35412, "loss": 0.23495, "time": 0.30199} -{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.1542, "decode.acc_seg": 75.11562, "aux.loss_seg": 0.0818, "aux.acc_seg": 73.7388, "loss": 0.236, "time": 0.30075} -{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.15184, "decode.acc_seg": 74.96755, "aux.loss_seg": 0.07975, "aux.acc_seg": 73.6392, "loss": 0.23159, "time": 0.30041} -{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.14972, "decode.acc_seg": 73.41586, "aux.loss_seg": 0.07845, "aux.acc_seg": 72.15074, "loss": 0.22817, "time": 0.2998} -{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.15135, "decode.acc_seg": 75.12492, "aux.loss_seg": 0.07915, "aux.acc_seg": 73.87863, "loss": 0.2305, "time": 0.30103} -{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.14609, "decode.acc_seg": 75.94023, "aux.loss_seg": 0.07875, "aux.acc_seg": 74.54659, "loss": 0.22484, "time": 0.3002} -{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 36160, "data_time": 0.00548, "decode.loss_seg": 0.15808, "decode.acc_seg": 76.60495, "aux.loss_seg": 0.08237, "aux.acc_seg": 75.27307, "loss": 0.24045, "time": 0.30109} -{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.15072, "decode.acc_seg": 75.03813, "aux.loss_seg": 0.08001, "aux.acc_seg": 73.62169, "loss": 0.23073, "time": 0.29906} -{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.15091, "decode.acc_seg": 75.84849, "aux.loss_seg": 0.07813, "aux.acc_seg": 74.69956, "loss": 0.22904, "time": 0.30124} -{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.15178, "decode.acc_seg": 75.55498, "aux.loss_seg": 0.07954, "aux.acc_seg": 74.23667, "loss": 0.23131, "time": 0.29992} -{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14753, "decode.acc_seg": 75.96398, "aux.loss_seg": 0.07772, "aux.acc_seg": 74.67102, "loss": 0.22525, "time": 0.30167} -{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14994, "decode.acc_seg": 76.45066, "aux.loss_seg": 0.07895, "aux.acc_seg": 75.18854, "loss": 0.22889, "time": 0.30266} -{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 36160, "data_time": 0.16321, "decode.loss_seg": 0.15693, "decode.acc_seg": 76.04852, "aux.loss_seg": 0.08181, "aux.acc_seg": 74.77562, "loss": 0.23874, "time": 0.45994} -{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.15215, "decode.acc_seg": 74.28767, "aux.loss_seg": 0.07982, "aux.acc_seg": 72.99615, "loss": 0.23197, "time": 0.29918} -{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14592, "decode.acc_seg": 73.75853, "aux.loss_seg": 0.07647, "aux.acc_seg": 72.5163, "loss": 0.22239, "time": 0.29795} -{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.15027, "decode.acc_seg": 74.75268, "aux.loss_seg": 0.07847, "aux.acc_seg": 73.48354, "loss": 0.22874, "time": 0.29919} -{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.14424, "decode.acc_seg": 74.61039, "aux.loss_seg": 0.07692, "aux.acc_seg": 73.27171, "loss": 0.22116, "time": 0.29938} -{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.15136, "decode.acc_seg": 74.94536, "aux.loss_seg": 0.08166, "aux.acc_seg": 73.57559, "loss": 0.23302, "time": 0.30125} -{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.14428, "decode.acc_seg": 75.14666, "aux.loss_seg": 0.07636, "aux.acc_seg": 73.84014, "loss": 0.22064, "time": 0.29947} -{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.15333, "decode.acc_seg": 76.64334, "aux.loss_seg": 0.08144, "aux.acc_seg": 75.20237, "loss": 0.23476, "time": 0.30114} -{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.15932, "decode.acc_seg": 75.66486, "aux.loss_seg": 0.08206, "aux.acc_seg": 74.35958, "loss": 0.24139, "time": 0.30154} -{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.16611, "decode.acc_seg": 76.13571, "aux.loss_seg": 0.08608, "aux.acc_seg": 74.78161, "loss": 0.25219, "time": 0.30041} -{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.14383, "decode.acc_seg": 77.58872, "aux.loss_seg": 0.0759, "aux.acc_seg": 76.29081, "loss": 0.21973, "time": 0.3007} -{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.15529, "decode.acc_seg": 74.61482, "aux.loss_seg": 0.08117, "aux.acc_seg": 73.29329, "loss": 0.23646, "time": 0.30017} -{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.1503, "decode.acc_seg": 76.01644, "aux.loss_seg": 0.07786, "aux.acc_seg": 74.79354, "loss": 0.22815, "time": 0.30093} -{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.15894, "decode.acc_seg": 75.54693, "aux.loss_seg": 0.08381, "aux.acc_seg": 74.19782, "loss": 0.24275, "time": 0.30031} -{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.1541, "decode.acc_seg": 75.1425, "aux.loss_seg": 0.08012, "aux.acc_seg": 73.86242, "loss": 0.23422, "time": 0.30073} -{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.14942, "decode.acc_seg": 76.5632, "aux.loss_seg": 0.0786, "aux.acc_seg": 75.1948, "loss": 0.22802, "time": 0.30055} -{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.15063, "decode.acc_seg": 74.47972, "aux.loss_seg": 0.07967, "aux.acc_seg": 73.1204, "loss": 0.23029, "time": 0.30065} -{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.14654, "decode.acc_seg": 75.72836, "aux.loss_seg": 0.07586, "aux.acc_seg": 74.49834, "loss": 0.2224, "time": 0.30174} -{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.15099, "decode.acc_seg": 75.59721, "aux.loss_seg": 0.07929, "aux.acc_seg": 74.23871, "loss": 0.23028, "time": 0.30033} -{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.14621, "decode.acc_seg": 73.96369, "aux.loss_seg": 0.07712, "aux.acc_seg": 72.67669, "loss": 0.22333, "time": 0.30012} -{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.14969, "decode.acc_seg": 76.14055, "aux.loss_seg": 0.07973, "aux.acc_seg": 74.76133, "loss": 0.22942, "time": 0.30185} -{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.16323, "decode.acc_seg": 76.42573, "aux.loss_seg": 0.08558, "aux.acc_seg": 75.0297, "loss": 0.24881, "time": 0.30318} -{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.15761, "decode.acc_seg": 74.57792, "aux.loss_seg": 0.08171, "aux.acc_seg": 73.28887, "loss": 0.23932, "time": 0.30339} -{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 36160, "data_time": 0.00491, "decode.loss_seg": 0.1541, "decode.acc_seg": 75.32396, "aux.loss_seg": 0.0819, "aux.acc_seg": 73.87476, "loss": 0.236, "time": 0.30151} -{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14705, "decode.acc_seg": 73.9557, "aux.loss_seg": 0.07875, "aux.acc_seg": 72.57848, "loss": 0.2258, "time": 0.30028} -{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.1449, "decode.acc_seg": 75.38323, "aux.loss_seg": 0.07676, "aux.acc_seg": 74.06488, "loss": 0.22167, "time": 0.30117} -{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 36160, "data_time": 0.18251, "decode.loss_seg": 0.14721, "decode.acc_seg": 75.73431, "aux.loss_seg": 0.07628, "aux.acc_seg": 74.50855, "loss": 0.22349, "time": 0.47738} -{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 36160, "data_time": 0.00613, "decode.loss_seg": 0.1535, "decode.acc_seg": 75.7092, "aux.loss_seg": 0.08119, "aux.acc_seg": 74.40359, "loss": 0.23469, "time": 0.3016} -{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.15294, "decode.acc_seg": 75.2118, "aux.loss_seg": 0.07978, "aux.acc_seg": 73.91085, "loss": 0.23272, "time": 0.30256} -{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.14731, "decode.acc_seg": 75.39301, "aux.loss_seg": 0.07983, "aux.acc_seg": 73.93776, "loss": 0.22714, "time": 0.30349} -{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.15317, "decode.acc_seg": 75.21831, "aux.loss_seg": 0.08068, "aux.acc_seg": 73.88556, "loss": 0.23385, "time": 0.30428} -{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.15092, "decode.acc_seg": 73.78961, "aux.loss_seg": 0.07953, "aux.acc_seg": 72.43218, "loss": 0.23045, "time": 0.30028} -{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.1454, "decode.acc_seg": 74.29896, "aux.loss_seg": 0.07558, "aux.acc_seg": 73.10573, "loss": 0.22097, "time": 0.30018} -{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 36160, "data_time": 0.00589, "decode.loss_seg": 0.15392, "decode.acc_seg": 75.52945, "aux.loss_seg": 0.08127, "aux.acc_seg": 74.19349, "loss": 0.23519, "time": 0.30022} -{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.15456, "decode.acc_seg": 75.64996, "aux.loss_seg": 0.08128, "aux.acc_seg": 74.24499, "loss": 0.23585, "time": 0.30092} -{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 36160, "data_time": 0.00642, "decode.loss_seg": 0.15888, "decode.acc_seg": 76.2727, "aux.loss_seg": 0.08301, "aux.acc_seg": 74.99504, "loss": 0.24189, "time": 0.30212} -{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.15036, "decode.acc_seg": 74.8973, "aux.loss_seg": 0.0786, "aux.acc_seg": 73.71414, "loss": 0.22896, "time": 0.30161} -{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.14392, "decode.acc_seg": 75.18205, "aux.loss_seg": 0.07659, "aux.acc_seg": 73.78061, "loss": 0.2205, "time": 0.30079} -{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.15636, "decode.acc_seg": 76.80086, "aux.loss_seg": 0.08315, "aux.acc_seg": 75.37981, "loss": 0.23951, "time": 0.30235} -{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 36160, "data_time": 0.00619, "decode.loss_seg": 0.14569, "decode.acc_seg": 75.01817, "aux.loss_seg": 0.0775, "aux.acc_seg": 73.66635, "loss": 0.22319, "time": 0.30099} -{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.15199, "decode.acc_seg": 76.05869, "aux.loss_seg": 0.07951, "aux.acc_seg": 74.83649, "loss": 0.2315, "time": 0.30217} -{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.14949, "decode.acc_seg": 74.82028, "aux.loss_seg": 0.08082, "aux.acc_seg": 73.31751, "loss": 0.23032, "time": 0.30194} -{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.14669, "decode.acc_seg": 75.41284, "aux.loss_seg": 0.07805, "aux.acc_seg": 74.00349, "loss": 0.22474, "time": 0.3024} -{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.15595, "decode.acc_seg": 75.83643, "aux.loss_seg": 0.08213, "aux.acc_seg": 74.46597, "loss": 0.23808, "time": 0.30519} -{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.1453, "decode.acc_seg": 74.72217, "aux.loss_seg": 0.0764, "aux.acc_seg": 73.45593, "loss": 0.22171, "time": 0.30416} -{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15063, "decode.acc_seg": 75.76324, "aux.loss_seg": 0.07836, "aux.acc_seg": 74.53802, "loss": 0.22898, "time": 0.3035} -{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.15158, "decode.acc_seg": 74.93359, "aux.loss_seg": 0.08123, "aux.acc_seg": 73.52108, "loss": 0.23281, "time": 0.30363} -{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.15126, "decode.acc_seg": 75.28435, "aux.loss_seg": 0.07846, "aux.acc_seg": 73.99996, "loss": 0.22972, "time": 0.3035} -{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.15244, "decode.acc_seg": 76.06895, "aux.loss_seg": 0.08125, "aux.acc_seg": 74.56267, "loss": 0.23369, "time": 0.30276} -{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 36160, "data_time": 0.00638, "decode.loss_seg": 0.15604, "decode.acc_seg": 74.85395, "aux.loss_seg": 0.08372, "aux.acc_seg": 73.37965, "loss": 0.23975, "time": 0.30357} -{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 36160, "data_time": 0.00664, "decode.loss_seg": 0.13994, "decode.acc_seg": 75.81026, "aux.loss_seg": 0.07517, "aux.acc_seg": 74.43035, "loss": 0.21511, "time": 0.30387} -{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 36160, "data_time": 0.17833, "decode.loss_seg": 0.14294, "decode.acc_seg": 76.1056, "aux.loss_seg": 0.07591, "aux.acc_seg": 74.75291, "loss": 0.21886, "time": 0.47601} -{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14403, "decode.acc_seg": 75.47709, "aux.loss_seg": 0.07667, "aux.acc_seg": 74.12065, "loss": 0.2207, "time": 0.30298} -{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.15322, "decode.acc_seg": 75.50811, "aux.loss_seg": 0.08051, "aux.acc_seg": 74.15929, "loss": 0.23373, "time": 0.30086} -{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14995, "decode.acc_seg": 76.65674, "aux.loss_seg": 0.07884, "aux.acc_seg": 75.3581, "loss": 0.22879, "time": 0.29973} -{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.14867, "decode.acc_seg": 75.33452, "aux.loss_seg": 0.07858, "aux.acc_seg": 74.01931, "loss": 0.22725, "time": 0.30061} -{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14155, "decode.acc_seg": 76.0748, "aux.loss_seg": 0.07562, "aux.acc_seg": 74.72368, "loss": 0.21717, "time": 0.3003} -{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.15389, "decode.acc_seg": 73.8576, "aux.loss_seg": 0.08049, "aux.acc_seg": 72.64531, "loss": 0.23439, "time": 0.30101} -{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.16198, "decode.acc_seg": 76.66653, "aux.loss_seg": 0.08455, "aux.acc_seg": 75.3535, "loss": 0.24653, "time": 0.30022} -{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.15172, "decode.acc_seg": 76.73325, "aux.loss_seg": 0.07966, "aux.acc_seg": 75.4416, "loss": 0.23138, "time": 0.29981} -{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14381, "decode.acc_seg": 75.73902, "aux.loss_seg": 0.07661, "aux.acc_seg": 74.39987, "loss": 0.22042, "time": 0.30112} -{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.1571, "decode.acc_seg": 76.40373, "aux.loss_seg": 0.08328, "aux.acc_seg": 75.01926, "loss": 0.24037, "time": 0.30048} -{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14915, "decode.acc_seg": 76.33575, "aux.loss_seg": 0.078, "aux.acc_seg": 75.09306, "loss": 0.22715, "time": 0.2995} -{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.15342, "decode.acc_seg": 76.11987, "aux.loss_seg": 0.08175, "aux.acc_seg": 74.70124, "loss": 0.23517, "time": 0.2999} -{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 36160, "data_time": 0.00496, "decode.loss_seg": 0.14739, "decode.acc_seg": 75.49291, "aux.loss_seg": 0.07879, "aux.acc_seg": 74.0674, "loss": 0.22618, "time": 0.30285} -{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.14295, "decode.acc_seg": 76.496, "aux.loss_seg": 0.07532, "aux.acc_seg": 75.26188, "loss": 0.21826, "time": 0.30141} -{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14052, "decode.acc_seg": 75.72918, "aux.loss_seg": 0.07611, "aux.acc_seg": 74.29359, "loss": 0.21663, "time": 0.30136} -{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.15697, "decode.acc_seg": 76.76089, "aux.loss_seg": 0.08151, "aux.acc_seg": 75.47839, "loss": 0.23848, "time": 0.30066} -{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.15586, "decode.acc_seg": 75.2023, "aux.loss_seg": 0.08193, "aux.acc_seg": 73.85156, "loss": 0.23779, "time": 0.30194} -{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.1548, "decode.acc_seg": 75.90113, "aux.loss_seg": 0.08221, "aux.acc_seg": 74.55402, "loss": 0.23702, "time": 0.30106} -{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.15368, "decode.acc_seg": 76.24126, "aux.loss_seg": 0.08109, "aux.acc_seg": 74.86188, "loss": 0.23478, "time": 0.3012} -{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.14612, "decode.acc_seg": 76.31003, "aux.loss_seg": 0.07685, "aux.acc_seg": 75.01178, "loss": 0.22297, "time": 0.30258} -{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.14554, "decode.acc_seg": 73.31031, "aux.loss_seg": 0.07606, "aux.acc_seg": 72.08069, "loss": 0.2216, "time": 0.30361} -{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14812, "decode.acc_seg": 76.78349, "aux.loss_seg": 0.07846, "aux.acc_seg": 75.47567, "loss": 0.22658, "time": 0.30308} -{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.1564, "decode.acc_seg": 76.81947, "aux.loss_seg": 0.08299, "aux.acc_seg": 75.38024, "loss": 0.23939, "time": 0.30147} -{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.14928, "decode.acc_seg": 74.94192, "aux.loss_seg": 0.07909, "aux.acc_seg": 73.51573, "loss": 0.22836, "time": 0.30376} -{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 36160, "data_time": 0.18144, "decode.loss_seg": 0.14864, "decode.acc_seg": 76.63151, "aux.loss_seg": 0.07931, "aux.acc_seg": 75.23768, "loss": 0.22795, "time": 0.47786} -{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14935, "decode.acc_seg": 75.18729, "aux.loss_seg": 0.07852, "aux.acc_seg": 73.82544, "loss": 0.22787, "time": 0.30056} -{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.14997, "decode.acc_seg": 76.00011, "aux.loss_seg": 0.07897, "aux.acc_seg": 74.68884, "loss": 0.22895, "time": 0.30089} -{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14516, "decode.acc_seg": 74.00929, "aux.loss_seg": 0.07741, "aux.acc_seg": 72.68267, "loss": 0.22257, "time": 0.30126} -{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.14666, "decode.acc_seg": 76.22055, "aux.loss_seg": 0.07756, "aux.acc_seg": 74.95275, "loss": 0.22422, "time": 0.30211} -{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.15345, "decode.acc_seg": 75.8986, "aux.loss_seg": 0.081, "aux.acc_seg": 74.5432, "loss": 0.23445, "time": 0.301} -{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15003, "decode.acc_seg": 76.74318, "aux.loss_seg": 0.07957, "aux.acc_seg": 75.43159, "loss": 0.2296, "time": 0.30118} -{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.14405, "decode.acc_seg": 76.59609, "aux.loss_seg": 0.07536, "aux.acc_seg": 75.34496, "loss": 0.21941, "time": 0.30309} -{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.14154, "decode.acc_seg": 74.79383, "aux.loss_seg": 0.07544, "aux.acc_seg": 73.53248, "loss": 0.21698, "time": 0.30125} -{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.15034, "decode.acc_seg": 76.39994, "aux.loss_seg": 0.07915, "aux.acc_seg": 75.01612, "loss": 0.22949, "time": 0.30125} -{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.15956, "decode.acc_seg": 76.34446, "aux.loss_seg": 0.08637, "aux.acc_seg": 74.79167, "loss": 0.24592, "time": 0.30127} -{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.14699, "decode.acc_seg": 75.69629, "aux.loss_seg": 0.07664, "aux.acc_seg": 74.46456, "loss": 0.22363, "time": 0.30399} -{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14898, "decode.acc_seg": 75.7732, "aux.loss_seg": 0.07945, "aux.acc_seg": 74.44545, "loss": 0.22843, "time": 0.30237} -{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14283, "decode.acc_seg": 76.08221, "aux.loss_seg": 0.07666, "aux.acc_seg": 74.7353, "loss": 0.2195, "time": 0.30238} -{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.15346, "decode.acc_seg": 76.43897, "aux.loss_seg": 0.08212, "aux.acc_seg": 74.99437, "loss": 0.23558, "time": 0.30193} -{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 36160, "data_time": 0.00546, "decode.loss_seg": 0.15619, "decode.acc_seg": 74.59738, "aux.loss_seg": 0.08225, "aux.acc_seg": 73.17022, "loss": 0.23844, "time": 0.30195} -{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.15453, "decode.acc_seg": 74.85417, "aux.loss_seg": 0.0824, "aux.acc_seg": 73.47292, "loss": 0.23694, "time": 0.30016} -{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.14448, "decode.acc_seg": 74.24512, "aux.loss_seg": 0.07688, "aux.acc_seg": 72.98994, "loss": 0.22135, "time": 0.30342} -{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14198, "decode.acc_seg": 75.95672, "aux.loss_seg": 0.07528, "aux.acc_seg": 74.65544, "loss": 0.21726, "time": 0.30179} -{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.1473, "decode.acc_seg": 75.29053, "aux.loss_seg": 0.0763, "aux.acc_seg": 74.07082, "loss": 0.22361, "time": 0.30277} -{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.1447, "decode.acc_seg": 74.96276, "aux.loss_seg": 0.07724, "aux.acc_seg": 73.63621, "loss": 0.22194, "time": 0.30209} -{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14775, "decode.acc_seg": 75.76057, "aux.loss_seg": 0.07708, "aux.acc_seg": 74.55927, "loss": 0.22482, "time": 0.30164} -{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.15357, "decode.acc_seg": 75.03693, "aux.loss_seg": 0.0802, "aux.acc_seg": 73.68886, "loss": 0.23377, "time": 0.30148} -{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.14563, "decode.acc_seg": 74.78059, "aux.loss_seg": 0.07692, "aux.acc_seg": 73.51235, "loss": 0.22255, "time": 0.30184} -{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.15005, "decode.acc_seg": 75.22957, "aux.loss_seg": 0.08045, "aux.acc_seg": 73.88023, "loss": 0.2305, "time": 0.30166} -{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 36160, "data_time": 0.17254, "decode.loss_seg": 0.15145, "decode.acc_seg": 75.40453, "aux.loss_seg": 0.07954, "aux.acc_seg": 74.12704, "loss": 0.23098, "time": 0.468} -{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.14857, "decode.acc_seg": 75.9156, "aux.loss_seg": 0.07766, "aux.acc_seg": 74.67318, "loss": 0.22623, "time": 0.30115} -{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.14677, "decode.acc_seg": 76.26922, "aux.loss_seg": 0.07844, "aux.acc_seg": 74.87621, "loss": 0.22521, "time": 0.3008} -{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.14557, "decode.acc_seg": 75.52301, "aux.loss_seg": 0.07635, "aux.acc_seg": 74.26164, "loss": 0.22192, "time": 0.30103} -{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.14653, "decode.acc_seg": 74.78909, "aux.loss_seg": 0.07726, "aux.acc_seg": 73.55493, "loss": 0.22378, "time": 0.30079} -{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.15021, "decode.acc_seg": 76.30333, "aux.loss_seg": 0.0797, "aux.acc_seg": 74.97125, "loss": 0.2299, "time": 0.30048} -{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.1495, "decode.acc_seg": 76.76858, "aux.loss_seg": 0.07954, "aux.acc_seg": 75.4412, "loss": 0.22903, "time": 0.30047} -{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.14641, "decode.acc_seg": 74.2977, "aux.loss_seg": 0.07815, "aux.acc_seg": 72.94646, "loss": 0.22456, "time": 0.30131} -{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15656, "decode.acc_seg": 77.25331, "aux.loss_seg": 0.08326, "aux.acc_seg": 75.75783, "loss": 0.23982, "time": 0.30219} -{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 36160, "data_time": 0.00609, "decode.loss_seg": 0.14514, "decode.acc_seg": 74.92894, "aux.loss_seg": 0.07805, "aux.acc_seg": 73.53295, "loss": 0.22319, "time": 0.30306} -{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.15536, "decode.acc_seg": 75.32155, "aux.loss_seg": 0.08084, "aux.acc_seg": 74.06805, "loss": 0.2362, "time": 0.30307} -{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.15226, "decode.acc_seg": 75.736, "aux.loss_seg": 0.08084, "aux.acc_seg": 74.36712, "loss": 0.2331, "time": 0.30295} -{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.151, "decode.acc_seg": 75.56677, "aux.loss_seg": 0.07943, "aux.acc_seg": 74.20833, "loss": 0.23043, "time": 0.30332} -{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15412, "decode.acc_seg": 75.83077, "aux.loss_seg": 0.08032, "aux.acc_seg": 74.55412, "loss": 0.23444, "time": 0.30431} -{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.15798, "decode.acc_seg": 76.96261, "aux.loss_seg": 0.08318, "aux.acc_seg": 75.59, "loss": 0.24116, "time": 0.30226} -{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.15201, "decode.acc_seg": 76.40155, "aux.loss_seg": 0.0799, "aux.acc_seg": 75.06203, "loss": 0.23191, "time": 0.30277} -{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.14638, "decode.acc_seg": 76.08713, "aux.loss_seg": 0.07785, "aux.acc_seg": 74.72147, "loss": 0.22423, "time": 0.30308} -{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.14981, "decode.acc_seg": 75.30609, "aux.loss_seg": 0.07854, "aux.acc_seg": 74.11921, "loss": 0.22835, "time": 0.30227} -{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.15451, "decode.acc_seg": 75.73518, "aux.loss_seg": 0.0825, "aux.acc_seg": 74.27971, "loss": 0.23701, "time": 0.30108} -{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.14728, "decode.acc_seg": 76.2188, "aux.loss_seg": 0.07908, "aux.acc_seg": 74.88158, "loss": 0.22635, "time": 0.30145} -{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.13607, "decode.acc_seg": 75.24348, "aux.loss_seg": 0.07272, "aux.acc_seg": 73.98499, "loss": 0.20879, "time": 0.30203} -{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15013, "decode.acc_seg": 75.69335, "aux.loss_seg": 0.08083, "aux.acc_seg": 74.24673, "loss": 0.23095, "time": 0.30215} -{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.15004, "decode.acc_seg": 75.70967, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.42809, "loss": 0.22908, "time": 0.30217} -{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.14535, "decode.acc_seg": 74.31899, "aux.loss_seg": 0.07724, "aux.acc_seg": 72.96391, "loss": 0.22259, "time": 0.30223} -{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.1474, "decode.acc_seg": 75.10434, "aux.loss_seg": 0.07852, "aux.acc_seg": 73.65203, "loss": 0.22592, "time": 0.30135} -{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 36160, "data_time": 0.00597, "decode.loss_seg": 0.14762, "decode.acc_seg": 75.72371, "aux.loss_seg": 0.0783, "aux.acc_seg": 74.35816, "loss": 0.22592, "time": 0.30316} -{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 36160, "data_time": 0.17825, "decode.loss_seg": 0.14147, "decode.acc_seg": 75.7265, "aux.loss_seg": 0.07482, "aux.acc_seg": 74.42293, "loss": 0.2163, "time": 0.47377} -{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 36160, "data_time": 0.00558, "decode.loss_seg": 0.14843, "decode.acc_seg": 76.11619, "aux.loss_seg": 0.07887, "aux.acc_seg": 74.71416, "loss": 0.22731, "time": 0.29943} -{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.1382, "decode.acc_seg": 73.90066, "aux.loss_seg": 0.07423, "aux.acc_seg": 72.59779, "loss": 0.21243, "time": 0.29939} -{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14709, "decode.acc_seg": 76.4474, "aux.loss_seg": 0.07912, "aux.acc_seg": 75.09424, "loss": 0.22621, "time": 0.30046} -{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.1524, "decode.acc_seg": 75.73311, "aux.loss_seg": 0.08115, "aux.acc_seg": 74.31003, "loss": 0.23355, "time": 0.29971} -{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.15189, "decode.acc_seg": 75.52005, "aux.loss_seg": 0.08118, "aux.acc_seg": 74.11482, "loss": 0.23307, "time": 0.30074} -{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 36160, "data_time": 0.00584, "decode.loss_seg": 0.15399, "decode.acc_seg": 75.06943, "aux.loss_seg": 0.08236, "aux.acc_seg": 73.64603, "loss": 0.23635, "time": 0.30192} -{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.15321, "decode.acc_seg": 76.75232, "aux.loss_seg": 0.08145, "aux.acc_seg": 75.31545, "loss": 0.23466, "time": 0.30436} -{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.15203, "decode.acc_seg": 76.55771, "aux.loss_seg": 0.08066, "aux.acc_seg": 75.19144, "loss": 0.23269, "time": 0.30432} -{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14864, "decode.acc_seg": 76.40696, "aux.loss_seg": 0.0787, "aux.acc_seg": 75.05601, "loss": 0.22734, "time": 0.3011} -{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 36160, "data_time": 0.00556, "decode.loss_seg": 0.14861, "decode.acc_seg": 75.70464, "aux.loss_seg": 0.07923, "aux.acc_seg": 74.41783, "loss": 0.22784, "time": 0.30037} -{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.14889, "decode.acc_seg": 75.1898, "aux.loss_seg": 0.07862, "aux.acc_seg": 73.89444, "loss": 0.22751, "time": 0.301} -{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.14516, "decode.acc_seg": 74.10986, "aux.loss_seg": 0.07729, "aux.acc_seg": 72.80555, "loss": 0.22245, "time": 0.30157} -{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 36160, "data_time": 0.00513, "decode.loss_seg": 0.1505, "decode.acc_seg": 75.83917, "aux.loss_seg": 0.07945, "aux.acc_seg": 74.52251, "loss": 0.22995, "time": 0.30354} -{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14802, "decode.acc_seg": 76.27721, "aux.loss_seg": 0.07745, "aux.acc_seg": 75.0095, "loss": 0.22547, "time": 0.30151} -{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.14006, "decode.acc_seg": 75.30808, "aux.loss_seg": 0.07495, "aux.acc_seg": 74.00793, "loss": 0.215, "time": 0.29979} -{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.15182, "decode.acc_seg": 75.87875, "aux.loss_seg": 0.07858, "aux.acc_seg": 74.67179, "loss": 0.2304, "time": 0.29944} -{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.14995, "decode.acc_seg": 76.63006, "aux.loss_seg": 0.08021, "aux.acc_seg": 75.21684, "loss": 0.23016, "time": 0.30269} -{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.14529, "decode.acc_seg": 75.63795, "aux.loss_seg": 0.07581, "aux.acc_seg": 74.38741, "loss": 0.2211, "time": 0.30058} -{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.15375, "decode.acc_seg": 76.1514, "aux.loss_seg": 0.08134, "aux.acc_seg": 74.79341, "loss": 0.23509, "time": 0.30286} -{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.14446, "decode.acc_seg": 73.87951, "aux.loss_seg": 0.07658, "aux.acc_seg": 72.60213, "loss": 0.22104, "time": 0.30331} -{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.13814, "decode.acc_seg": 75.29646, "aux.loss_seg": 0.07258, "aux.acc_seg": 74.09036, "loss": 0.21072, "time": 0.30251} -{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.04046, "aux.loss_seg": 0.07633, "aux.acc_seg": 73.74893, "loss": 0.22055, "time": 0.30177} -{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14769, "decode.acc_seg": 74.96616, "aux.loss_seg": 0.07755, "aux.acc_seg": 73.63322, "loss": 0.22524, "time": 0.30274} -{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.15168, "decode.acc_seg": 76.13254, "aux.loss_seg": 0.0799, "aux.acc_seg": 74.84106, "loss": 0.23159, "time": 0.30157} -{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 36160, "data_time": 0.17455, "decode.loss_seg": 0.15488, "decode.acc_seg": 74.18941, "aux.loss_seg": 0.08212, "aux.acc_seg": 72.78439, "loss": 0.237, "time": 0.47116} -{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.14557, "decode.acc_seg": 76.77891, "aux.loss_seg": 0.07721, "aux.acc_seg": 75.40425, "loss": 0.22278, "time": 0.30033} -{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 36160, "data_time": 0.00487, "decode.loss_seg": 0.14419, "decode.acc_seg": 75.63007, "aux.loss_seg": 0.07711, "aux.acc_seg": 74.26471, "loss": 0.2213, "time": 0.30042} -{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.15066, "decode.acc_seg": 75.46356, "aux.loss_seg": 0.0808, "aux.acc_seg": 74.02068, "loss": 0.23146, "time": 0.29877} -{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14433, "decode.acc_seg": 75.75777, "aux.loss_seg": 0.07752, "aux.acc_seg": 74.40664, "loss": 0.22185, "time": 0.29884} -{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.14986, "decode.acc_seg": 76.09731, "aux.loss_seg": 0.0785, "aux.acc_seg": 74.84203, "loss": 0.22836, "time": 0.29812} -{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.14923, "decode.acc_seg": 75.32182, "aux.loss_seg": 0.07816, "aux.acc_seg": 74.04351, "loss": 0.22739, "time": 0.29846} -{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14683, "decode.acc_seg": 76.53096, "aux.loss_seg": 0.07745, "aux.acc_seg": 75.20331, "loss": 0.22428, "time": 0.30243} -{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.15162, "decode.acc_seg": 76.21695, "aux.loss_seg": 0.08002, "aux.acc_seg": 74.87182, "loss": 0.23163, "time": 0.30133} -{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14421, "decode.acc_seg": 76.05785, "aux.loss_seg": 0.07744, "aux.acc_seg": 74.6711, "loss": 0.22164, "time": 0.30372} -{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15195, "decode.acc_seg": 75.78164, "aux.loss_seg": 0.08097, "aux.acc_seg": 74.3373, "loss": 0.23292, "time": 0.3023} -{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 36160, "data_time": 0.00536, "decode.loss_seg": 0.14735, "decode.acc_seg": 74.41783, "aux.loss_seg": 0.07818, "aux.acc_seg": 73.01573, "loss": 0.22554, "time": 0.3025} -{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 36160, "data_time": 0.00485, "decode.loss_seg": 0.14925, "decode.acc_seg": 76.05825, "aux.loss_seg": 0.07874, "aux.acc_seg": 74.68789, "loss": 0.22799, "time": 0.30173} -{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.15597, "decode.acc_seg": 76.69785, "aux.loss_seg": 0.08204, "aux.acc_seg": 75.30184, "loss": 0.238, "time": 0.30088} -{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14122, "decode.acc_seg": 75.79131, "aux.loss_seg": 0.07466, "aux.acc_seg": 74.60096, "loss": 0.21588, "time": 0.3011} -{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.15124, "decode.acc_seg": 76.12596, "aux.loss_seg": 0.07979, "aux.acc_seg": 74.79099, "loss": 0.23104, "time": 0.30381} -{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.13382, "decode.acc_seg": 73.43015, "aux.loss_seg": 0.07058, "aux.acc_seg": 72.24964, "loss": 0.2044, "time": 0.30271} -{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 36160, "data_time": 0.00518, "decode.loss_seg": 0.14589, "decode.acc_seg": 76.92162, "aux.loss_seg": 0.07791, "aux.acc_seg": 75.60586, "loss": 0.2238, "time": 0.30285} -{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14155, "decode.acc_seg": 76.14304, "aux.loss_seg": 0.07494, "aux.acc_seg": 74.91662, "loss": 0.21649, "time": 0.30154} -{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.14774, "decode.acc_seg": 76.49157, "aux.loss_seg": 0.07919, "aux.acc_seg": 75.12654, "loss": 0.22693, "time": 0.30095} -{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.14505, "decode.acc_seg": 76.42298, "aux.loss_seg": 0.07742, "aux.acc_seg": 75.06169, "loss": 0.22246, "time": 0.30003} -{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14675, "decode.acc_seg": 76.29154, "aux.loss_seg": 0.07632, "aux.acc_seg": 75.07595, "loss": 0.22307, "time": 0.30067} -{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14631, "decode.acc_seg": 76.26801, "aux.loss_seg": 0.0767, "aux.acc_seg": 75.04549, "loss": 0.22301, "time": 0.29915} -{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 36160, "data_time": 0.0053, "decode.loss_seg": 0.15219, "decode.acc_seg": 76.24043, "aux.loss_seg": 0.08124, "aux.acc_seg": 74.85802, "loss": 0.23343, "time": 0.29904} -{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14316, "decode.acc_seg": 76.50991, "aux.loss_seg": 0.07542, "aux.acc_seg": 75.22325, "loss": 0.21858, "time": 0.29888} -{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4866, "mAcc": 0.6054, "aAcc": 0.8267, "IoU.wall": 0.7681, "IoU.building": 0.8175, "IoU.sky": 0.9361, "IoU.floor": 0.8113, "IoU.tree": 0.736, "IoU.ceiling": 0.8391, "IoU.road": 0.8239, "IoU.bed ": 0.8693, "IoU.windowpane": 0.5992, "IoU.grass": 0.6734, "IoU.cabinet": 0.6124, "IoU.sidewalk": 0.6547, "IoU.person": 0.7823, "IoU.earth": 0.3964, "IoU.door": 0.4615, "IoU.table": 0.578, "IoU.mountain": 0.5829, "IoU.plant": 0.526, "IoU.curtain": 0.717, "IoU.chair": 0.5527, "IoU.car": 0.834, "IoU.water": 0.5298, "IoU.painting": 0.7441, "IoU.sofa": 0.6337, "IoU.shelf": 0.4111, "IoU.house": 0.4384, "IoU.sea": 0.5842, "IoU.mirror": 0.6403, "IoU.rug": 0.6337, "IoU.field": 0.3182, "IoU.armchair": 0.4163, "IoU.seat": 0.6069, "IoU.fence": 0.4282, "IoU.desk": 0.4925, "IoU.rock": 0.4017, "IoU.wardrobe": 0.4893, "IoU.lamp": 0.6111, "IoU.bathtub": 0.7503, "IoU.railing": 0.3528, "IoU.cushion": 0.57, "IoU.base": 0.3017, "IoU.box": 0.2686, "IoU.column": 0.4309, "IoU.signboard": 0.3723, "IoU.chest of drawers": 0.377, "IoU.counter": 0.3071, "IoU.sand": 0.506, "IoU.sink": 0.6966, "IoU.skyscraper": 0.6871, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7676, "IoU.grandstand": 0.4021, "IoU.path": 0.259, "IoU.stairs": 0.3055, "IoU.runway": 0.711, "IoU.case": 0.4182, "IoU.pool table": 0.9197, "IoU.pillow": 0.5605, "IoU.screen door": 0.6213, "IoU.stairway": 0.321, "IoU.river": 0.1542, "IoU.bridge": 0.7123, "IoU.bookcase": 0.3942, "IoU.blind": NaN, "IoU.coffee table": 0.5139, "IoU.toilet": 0.8199, "IoU.flower": 0.4577, "IoU.book": 0.4384, "IoU.hill": 0.1345, "IoU.bench": 0.4609, "IoU.countertop": 0.5499, "IoU.stove": 0.7444, "IoU.palm": 0.5049, "IoU.kitchen island": 0.3908, "IoU.computer": 0.6441, "IoU.swivel chair": 0.4493, "IoU.boat": 0.6417, "IoU.bar": 0.3199, "IoU.arcade machine": 0.464, "IoU.hovel": 0.3442, "IoU.bus": 0.8614, "IoU.towel": 0.6576, "IoU.light": 0.5428, "IoU.truck": 0.2478, "IoU.tower": 0.0446, "IoU.chandelier": 0.6376, "IoU.awning": 0.2928, "IoU.streetlight": 0.2325, "IoU.booth": 0.6241, "IoU.television receiver": NaN, "IoU.airplane": 0.5973, "IoU.dirt track": 0.0002, "IoU.apparel": 0.3152, "IoU.pole": 0.1774, "IoU.land": 0.0438, "IoU.bannister": 0.0906, "IoU.escalator": 0.3833, "IoU.ottoman": 0.3954, "IoU.bottle": NaN, "IoU.buffet": 0.4565, "IoU.poster": 0.316, "IoU.stage": 0.2027, "IoU.van": 0.3799, "IoU.ship": 0.7541, "IoU.fountain": 0.2113, "IoU.conveyer belt": 0.8453, "IoU.canopy": 0.189, "IoU.washer": 0.7307, "IoU.plaything": 0.185, "IoU.swimming pool": 0.633, "IoU.stool": 0.366, "IoU.barrel": 0.444, "IoU.basket": 0.3364, "IoU.waterfall": 0.4922, "IoU.tent": 0.9375, "IoU.bag": 0.1104, "IoU.minibike": 0.7459, "IoU.cradle": NaN, "IoU.oven": 0.3788, "IoU.ball": 0.4788, "IoU.food": 0.3152, "IoU.step": 0.0928, "IoU.tank": 0.4961, "IoU.trade name": 0.284, "IoU.microwave": 0.728, "IoU.pot": 0.5254, "IoU.animal": NaN, "IoU.bicycle": 0.5479, "IoU.lake": 0.4878, "IoU.dishwasher": 0.5784, "IoU.screen": 0.6264, "IoU.blanket": 0.1485, "IoU.sculpture": 0.6477, "IoU.hood": 0.5864, "IoU.sconce": 0.447, "IoU.vase": 0.3792, "IoU.traffic light": 0.3013, "IoU.tray": 0.0787, "IoU.ashcan": 0.4051, "IoU.fan": 0.6294, "IoU.pier": 0.455, "IoU.crt screen": 0.073, "IoU.plate": 0.561, "IoU.monitor": 0.178, "IoU.bulletin board": 0.4673, "IoU.shower": 0.0343, "IoU.radiator": 0.646, "IoU.glass": 0.155, "IoU.clock": 0.4095, "IoU.flag": 0.4517, "Acc.wall": 0.8773, "Acc.building": 0.9219, "Acc.sky": 0.9738, "Acc.floor": 0.9005, "Acc.tree": 0.8615, "Acc.ceiling": 0.9291, "Acc.road": 0.8955, "Acc.bed ": 0.9446, "Acc.windowpane": 0.7795, "Acc.grass": 0.8401, "Acc.cabinet": 0.7449, "Acc.sidewalk": 0.8172, "Acc.person": 0.9153, "Acc.earth": 0.5283, "Acc.door": 0.609, "Acc.table": 0.7319, "Acc.mountain": 0.7361, "Acc.plant": 0.6242, "Acc.curtain": 0.8314, "Acc.chair": 0.6856, "Acc.car": 0.9155, "Acc.water": 0.6765, "Acc.painting": 0.8743, "Acc.sofa": 0.821, "Acc.shelf": 0.5786, "Acc.house": 0.6011, "Acc.sea": 0.8215, "Acc.mirror": 0.7253, "Acc.rug": 0.7592, "Acc.field": 0.485, "Acc.armchair": 0.5845, "Acc.seat": 0.804, "Acc.fence": 0.5726, "Acc.desk": 0.6517, "Acc.rock": 0.6513, "Acc.wardrobe": 0.6398, "Acc.lamp": 0.7361, "Acc.bathtub": 0.8316, "Acc.railing": 0.4901, "Acc.cushion": 0.7182, "Acc.base": 0.4084, "Acc.box": 0.3446, "Acc.column": 0.5167, "Acc.signboard": 0.5249, "Acc.chest of drawers": 0.5233, "Acc.counter": 0.3751, "Acc.sand": 0.7699, "Acc.sink": 0.7961, "Acc.skyscraper": 0.8725, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8421, "Acc.grandstand": 0.6898, "Acc.path": 0.368, "Acc.stairs": 0.3591, "Acc.runway": 0.9211, "Acc.case": 0.534, "Acc.pool table": 0.9641, "Acc.pillow": 0.658, "Acc.screen door": 0.7484, "Acc.stairway": 0.4012, "Acc.river": 0.2989, "Acc.bridge": 0.7992, "Acc.bookcase": 0.4831, "Acc.blind": NaN, "Acc.coffee table": 0.7928, "Acc.toilet": 0.8873, "Acc.flower": 0.6213, "Acc.book": 0.6513, "Acc.hill": 0.203, "Acc.bench": 0.5287, "Acc.countertop": 0.7299, "Acc.stove": 0.8058, "Acc.palm": 0.7771, "Acc.kitchen island": 0.7126, "Acc.computer": 0.7564, "Acc.swivel chair": 0.6098, "Acc.boat": 0.7864, "Acc.bar": 0.4113, "Acc.arcade machine": 0.5045, "Acc.hovel": 0.3644, "Acc.bus": 0.9488, "Acc.towel": 0.8038, "Acc.light": 0.6279, "Acc.truck": 0.3377, "Acc.tower": 0.0781, "Acc.chandelier": 0.8005, "Acc.awning": 0.3387, "Acc.streetlight": 0.3083, "Acc.booth": 0.7159, "Acc.television receiver": NaN, "Acc.airplane": 0.7353, "Acc.dirt track": 0.0003, "Acc.apparel": 0.4599, "Acc.pole": 0.2652, "Acc.land": 0.0625, "Acc.bannister": 0.1152, "Acc.escalator": 0.4185, "Acc.ottoman": 0.6087, "Acc.bottle": NaN, "Acc.buffet": 0.5401, "Acc.poster": 0.4239, "Acc.stage": 0.2788, "Acc.van": 0.5338, "Acc.ship": 0.9217, "Acc.fountain": 0.217, "Acc.conveyer belt": 0.9097, "Acc.canopy": 0.3002, "Acc.washer": 0.7619, "Acc.plaything": 0.3076, "Acc.swimming pool": 0.7959, "Acc.stool": 0.5403, "Acc.barrel": 0.7215, "Acc.basket": 0.4512, "Acc.waterfall": 0.6432, "Acc.tent": 0.9779, "Acc.bag": 0.1317, "Acc.minibike": 0.888, "Acc.cradle": NaN, "Acc.oven": 0.6488, "Acc.ball": 0.5487, "Acc.food": 0.3662, "Acc.step": 0.1085, "Acc.tank": 0.5627, "Acc.trade name": 0.3369, "Acc.microwave": 0.821, "Acc.pot": 0.5766, "Acc.animal": NaN, "Acc.bicycle": 0.7617, "Acc.lake": 0.558, "Acc.dishwasher": 0.7317, "Acc.screen": 0.7088, "Acc.blanket": 0.1757, "Acc.sculpture": 0.7958, "Acc.hood": 0.6524, "Acc.sconce": 0.5587, "Acc.vase": 0.552, "Acc.traffic light": 0.4265, "Acc.tray": 0.1639, "Acc.ashcan": 0.5102, "Acc.fan": 0.7933, "Acc.pier": 0.7097, "Acc.crt screen": 0.2332, "Acc.plate": 0.7324, "Acc.monitor": 0.2057, "Acc.bulletin board": 0.5649, "Acc.shower": 0.0494, "Acc.radiator": 0.7283, "Acc.glass": 0.1718, "Acc.clock": 0.5314, "Acc.flag": 0.4931} -{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 36160, "data_time": 1.65775, "decode.loss_seg": 0.14611, "decode.acc_seg": 76.61452, "aux.loss_seg": 0.07784, "aux.acc_seg": 75.27775, "loss": 0.22395, "time": 1.95766} -{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.14948, "decode.acc_seg": 75.62741, "aux.loss_seg": 0.07802, "aux.acc_seg": 74.34907, "loss": 0.2275, "time": 0.30164} -{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.14856, "decode.acc_seg": 75.66586, "aux.loss_seg": 0.0785, "aux.acc_seg": 74.34562, "loss": 0.22705, "time": 0.30215} -{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 36160, "data_time": 0.00443, "decode.loss_seg": 0.14792, "decode.acc_seg": 75.08422, "aux.loss_seg": 0.07979, "aux.acc_seg": 73.60438, "loss": 0.22771, "time": 0.30217} -{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.13925, "decode.acc_seg": 75.11674, "aux.loss_seg": 0.07431, "aux.acc_seg": 73.82753, "loss": 0.21356, "time": 0.30158} -{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.14564, "decode.acc_seg": 75.677, "aux.loss_seg": 0.07751, "aux.acc_seg": 74.39371, "loss": 0.22315, "time": 0.30258} -{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14929, "decode.acc_seg": 76.08717, "aux.loss_seg": 0.07857, "aux.acc_seg": 74.82891, "loss": 0.22786, "time": 0.30276} -{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.14595, "decode.acc_seg": 74.89992, "aux.loss_seg": 0.07713, "aux.acc_seg": 73.60111, "loss": 0.22307, "time": 0.30179} -{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 36160, "data_time": 0.00461, "decode.loss_seg": 0.15535, "decode.acc_seg": 76.76886, "aux.loss_seg": 0.08251, "aux.acc_seg": 75.37423, "loss": 0.23785, "time": 0.30373} -{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.15118, "decode.acc_seg": 75.24191, "aux.loss_seg": 0.07989, "aux.acc_seg": 73.93872, "loss": 0.23107, "time": 0.30351} -{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14473, "decode.acc_seg": 74.68672, "aux.loss_seg": 0.07653, "aux.acc_seg": 73.41582, "loss": 0.22126, "time": 0.3033} -{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 36160, "data_time": 0.00457, "decode.loss_seg": 0.14343, "decode.acc_seg": 75.02108, "aux.loss_seg": 0.07597, "aux.acc_seg": 73.77436, "loss": 0.21939, "time": 0.30269} -{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 36160, "data_time": 0.00459, "decode.loss_seg": 0.14734, "decode.acc_seg": 76.76058, "aux.loss_seg": 0.07831, "aux.acc_seg": 75.43756, "loss": 0.22565, "time": 0.30315} -{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.15453, "decode.acc_seg": 76.49835, "aux.loss_seg": 0.08029, "aux.acc_seg": 75.12678, "loss": 0.23482, "time": 0.30179} -{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 36160, "data_time": 0.00502, "decode.loss_seg": 0.14965, "decode.acc_seg": 76.30125, "aux.loss_seg": 0.0796, "aux.acc_seg": 74.89316, "loss": 0.22924, "time": 0.30183} -{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14879, "decode.acc_seg": 75.25536, "aux.loss_seg": 0.07913, "aux.acc_seg": 73.83837, "loss": 0.22792, "time": 0.30234} -{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.14143, "decode.acc_seg": 74.64862, "aux.loss_seg": 0.07574, "aux.acc_seg": 73.31865, "loss": 0.21716, "time": 0.30407} -{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 36160, "data_time": 0.00478, "decode.loss_seg": 0.15052, "decode.acc_seg": 76.23973, "aux.loss_seg": 0.07982, "aux.acc_seg": 74.93809, "loss": 0.23035, "time": 0.30151} -{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 36160, "data_time": 0.00463, "decode.loss_seg": 0.14239, "decode.acc_seg": 75.27032, "aux.loss_seg": 0.07553, "aux.acc_seg": 73.92757, "loss": 0.21792, "time": 0.30135} -{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.13907, "decode.acc_seg": 76.63423, "aux.loss_seg": 0.0752, "aux.acc_seg": 75.24742, "loss": 0.21427, "time": 0.30212} -{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.14795, "decode.acc_seg": 74.28416, "aux.loss_seg": 0.07905, "aux.acc_seg": 72.94963, "loss": 0.227, "time": 0.30013} -{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.14991, "decode.acc_seg": 75.52449, "aux.loss_seg": 0.07967, "aux.acc_seg": 74.09408, "loss": 0.22957, "time": 0.30045} -{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.14567, "decode.acc_seg": 74.8695, "aux.loss_seg": 0.07766, "aux.acc_seg": 73.50135, "loss": 0.22333, "time": 0.30235} -{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.1373, "decode.acc_seg": 76.06651, "aux.loss_seg": 0.07288, "aux.acc_seg": 74.82487, "loss": 0.21018, "time": 0.30125} -{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 36160, "data_time": 0.17763, "decode.loss_seg": 0.15011, "decode.acc_seg": 75.39469, "aux.loss_seg": 0.08078, "aux.acc_seg": 73.94838, "loss": 0.23089, "time": 0.47521} -{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14802, "decode.acc_seg": 76.0394, "aux.loss_seg": 0.07833, "aux.acc_seg": 74.69943, "loss": 0.22635, "time": 0.30268} -{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.15558, "decode.acc_seg": 74.3252, "aux.loss_seg": 0.08189, "aux.acc_seg": 72.98709, "loss": 0.23747, "time": 0.30374} -{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 36160, "data_time": 0.00464, "decode.loss_seg": 0.14567, "decode.acc_seg": 75.63566, "aux.loss_seg": 0.07844, "aux.acc_seg": 74.23394, "loss": 0.22411, "time": 0.30504} -{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.14666, "decode.acc_seg": 75.25826, "aux.loss_seg": 0.07877, "aux.acc_seg": 73.85557, "loss": 0.22543, "time": 0.30486} -{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.15015, "decode.acc_seg": 75.72506, "aux.loss_seg": 0.08059, "aux.acc_seg": 74.28886, "loss": 0.23074, "time": 0.30558} -{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.14205, "decode.acc_seg": 75.86375, "aux.loss_seg": 0.07649, "aux.acc_seg": 74.50233, "loss": 0.21854, "time": 0.30273} -{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.14192, "decode.acc_seg": 75.30346, "aux.loss_seg": 0.07582, "aux.acc_seg": 73.92544, "loss": 0.21774, "time": 0.30273} -{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.14774, "decode.acc_seg": 76.58381, "aux.loss_seg": 0.07849, "aux.acc_seg": 75.21962, "loss": 0.22623, "time": 0.30401} -{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14119, "decode.acc_seg": 75.68805, "aux.loss_seg": 0.07516, "aux.acc_seg": 74.33946, "loss": 0.21634, "time": 0.30303} -{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.14644, "decode.acc_seg": 76.42249, "aux.loss_seg": 0.07756, "aux.acc_seg": 75.08756, "loss": 0.224, "time": 0.30262} -{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.14758, "decode.acc_seg": 75.04098, "aux.loss_seg": 0.07937, "aux.acc_seg": 73.74344, "loss": 0.22695, "time": 0.30163} -{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.14234, "decode.acc_seg": 75.38828, "aux.loss_seg": 0.07555, "aux.acc_seg": 74.06549, "loss": 0.21789, "time": 0.30153} -{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 36160, "data_time": 0.00475, "decode.loss_seg": 0.1558, "decode.acc_seg": 76.79789, "aux.loss_seg": 0.08214, "aux.acc_seg": 75.41257, "loss": 0.23794, "time": 0.30255} -{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.14127, "decode.acc_seg": 76.25437, "aux.loss_seg": 0.07388, "aux.acc_seg": 75.00164, "loss": 0.21515, "time": 0.30612} -{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 36160, "data_time": 0.00474, "decode.loss_seg": 0.14379, "decode.acc_seg": 75.37797, "aux.loss_seg": 0.0779, "aux.acc_seg": 73.93316, "loss": 0.22169, "time": 0.30345} -{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14298, "decode.acc_seg": 74.59125, "aux.loss_seg": 0.0771, "aux.acc_seg": 73.21837, "loss": 0.22009, "time": 0.30289} -{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14863, "decode.acc_seg": 76.394, "aux.loss_seg": 0.07807, "aux.acc_seg": 75.10106, "loss": 0.2267, "time": 0.30065} -{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.14941, "decode.acc_seg": 76.89696, "aux.loss_seg": 0.07846, "aux.acc_seg": 75.62629, "loss": 0.22787, "time": 0.30036} -{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14541, "decode.acc_seg": 75.08302, "aux.loss_seg": 0.07763, "aux.acc_seg": 73.71792, "loss": 0.22305, "time": 0.2999} -{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14103, "decode.acc_seg": 75.07558, "aux.loss_seg": 0.07488, "aux.acc_seg": 73.76897, "loss": 0.21591, "time": 0.30053} -{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14302, "decode.acc_seg": 74.67673, "aux.loss_seg": 0.07657, "aux.acc_seg": 73.38643, "loss": 0.21959, "time": 0.30069} -{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.1434, "decode.acc_seg": 76.46063, "aux.loss_seg": 0.0763, "aux.acc_seg": 75.10882, "loss": 0.2197, "time": 0.30007} -{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.14065, "decode.acc_seg": 75.35703, "aux.loss_seg": 0.07511, "aux.acc_seg": 74.09429, "loss": 0.21576, "time": 0.29907} -{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.88412, "aux.loss_seg": 0.07568, "aux.acc_seg": 74.65587, "loss": 0.2199, "time": 0.30082} -{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.14489, "decode.acc_seg": 76.47281, "aux.loss_seg": 0.07741, "aux.acc_seg": 75.07638, "loss": 0.2223, "time": 0.30116} -{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 36160, "data_time": 0.17379, "decode.loss_seg": 0.13585, "decode.acc_seg": 75.19901, "aux.loss_seg": 0.07167, "aux.acc_seg": 74.06139, "loss": 0.20752, "time": 0.46937} -{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14198, "decode.acc_seg": 75.45132, "aux.loss_seg": 0.07476, "aux.acc_seg": 74.18523, "loss": 0.21674, "time": 0.30091} -{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 36160, "data_time": 0.00547, "decode.loss_seg": 0.14362, "decode.acc_seg": 76.42589, "aux.loss_seg": 0.07706, "aux.acc_seg": 75.02702, "loss": 0.22068, "time": 0.30219} -{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14164, "decode.acc_seg": 75.9588, "aux.loss_seg": 0.07559, "aux.acc_seg": 74.67037, "loss": 0.21722, "time": 0.30203} -{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.15449, "decode.acc_seg": 76.46364, "aux.loss_seg": 0.08107, "aux.acc_seg": 75.09793, "loss": 0.23556, "time": 0.30262} -{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.14312, "decode.acc_seg": 75.41279, "aux.loss_seg": 0.07602, "aux.acc_seg": 74.08259, "loss": 0.21914, "time": 0.30205} -{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.14053, "decode.acc_seg": 76.44386, "aux.loss_seg": 0.0747, "aux.acc_seg": 75.17093, "loss": 0.21522, "time": 0.30192} -{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.14033, "decode.acc_seg": 76.56309, "aux.loss_seg": 0.07462, "aux.acc_seg": 75.28176, "loss": 0.21496, "time": 0.30203} -{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.14822, "decode.acc_seg": 74.92935, "aux.loss_seg": 0.07797, "aux.acc_seg": 73.60679, "loss": 0.22619, "time": 0.30134} -{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.14095, "decode.acc_seg": 75.53225, "aux.loss_seg": 0.07439, "aux.acc_seg": 74.30597, "loss": 0.21534, "time": 0.30332} -{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 36160, "data_time": 0.00534, "decode.loss_seg": 0.14087, "decode.acc_seg": 74.97141, "aux.loss_seg": 0.07484, "aux.acc_seg": 73.70333, "loss": 0.21571, "time": 0.30366} -{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14959, "decode.acc_seg": 75.22148, "aux.loss_seg": 0.07933, "aux.acc_seg": 73.86123, "loss": 0.22891, "time": 0.3014} -{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 36160, "data_time": 0.00634, "decode.loss_seg": 0.14518, "decode.acc_seg": 77.27973, "aux.loss_seg": 0.07709, "aux.acc_seg": 75.97143, "loss": 0.22228, "time": 0.30192} -{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 36160, "data_time": 0.00523, "decode.loss_seg": 0.14402, "decode.acc_seg": 75.67577, "aux.loss_seg": 0.07691, "aux.acc_seg": 74.34469, "loss": 0.22093, "time": 0.30122} -{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.14677, "decode.acc_seg": 76.27268, "aux.loss_seg": 0.07765, "aux.acc_seg": 74.91289, "loss": 0.22442, "time": 0.30131} -{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.14858, "decode.acc_seg": 75.21411, "aux.loss_seg": 0.07817, "aux.acc_seg": 73.93931, "loss": 0.22675, "time": 0.30259} -{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.1469, "decode.acc_seg": 76.43035, "aux.loss_seg": 0.07879, "aux.acc_seg": 75.046, "loss": 0.22569, "time": 0.30219} -{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.14185, "decode.acc_seg": 74.98508, "aux.loss_seg": 0.07501, "aux.acc_seg": 73.66275, "loss": 0.21686, "time": 0.30201} -{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.14547, "decode.acc_seg": 75.04535, "aux.loss_seg": 0.07689, "aux.acc_seg": 73.73675, "loss": 0.22235, "time": 0.30261} -{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 36160, "data_time": 0.00563, "decode.loss_seg": 0.13651, "decode.acc_seg": 75.29452, "aux.loss_seg": 0.07279, "aux.acc_seg": 74.04003, "loss": 0.2093, "time": 0.30024} -{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.15132, "decode.acc_seg": 76.63029, "aux.loss_seg": 0.08031, "aux.acc_seg": 75.28175, "loss": 0.23162, "time": 0.30143} -{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.15072, "decode.acc_seg": 75.08105, "aux.loss_seg": 0.08075, "aux.acc_seg": 73.6672, "loss": 0.23147, "time": 0.30079} -{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 36160, "data_time": 0.00576, "decode.loss_seg": 0.14846, "decode.acc_seg": 76.15396, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.83334, "loss": 0.22755, "time": 0.3027} -{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14392, "decode.acc_seg": 76.61374, "aux.loss_seg": 0.07784, "aux.acc_seg": 75.19885, "loss": 0.22175, "time": 0.30284} -{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 36160, "data_time": 0.00542, "decode.loss_seg": 0.14282, "decode.acc_seg": 75.47365, "aux.loss_seg": 0.07659, "aux.acc_seg": 74.13255, "loss": 0.21941, "time": 0.30199} -{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 36160, "data_time": 0.17421, "decode.loss_seg": 0.1429, "decode.acc_seg": 75.22248, "aux.loss_seg": 0.0773, "aux.acc_seg": 73.83739, "loss": 0.2202, "time": 0.46925} -{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.14266, "decode.acc_seg": 74.8614, "aux.loss_seg": 0.07506, "aux.acc_seg": 73.64134, "loss": 0.21772, "time": 0.30099} -{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.14211, "decode.acc_seg": 75.47602, "aux.loss_seg": 0.0745, "aux.acc_seg": 74.28902, "loss": 0.21661, "time": 0.30148} -{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.14851, "decode.acc_seg": 74.90521, "aux.loss_seg": 0.07814, "aux.acc_seg": 73.57235, "loss": 0.22665, "time": 0.29982} -{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.14908, "decode.acc_seg": 76.30726, "aux.loss_seg": 0.0795, "aux.acc_seg": 74.95174, "loss": 0.22858, "time": 0.29933} -{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.14486, "decode.acc_seg": 75.55453, "aux.loss_seg": 0.07577, "aux.acc_seg": 74.34664, "loss": 0.22063, "time": 0.30028} -{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 36160, "data_time": 0.00574, "decode.loss_seg": 0.13988, "decode.acc_seg": 75.63152, "aux.loss_seg": 0.07702, "aux.acc_seg": 74.14801, "loss": 0.2169, "time": 0.30241} -{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 36160, "data_time": 0.00568, "decode.loss_seg": 0.14897, "decode.acc_seg": 75.71678, "aux.loss_seg": 0.07942, "aux.acc_seg": 74.38922, "loss": 0.22839, "time": 0.3028} -{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.14878, "decode.acc_seg": 77.24827, "aux.loss_seg": 0.07963, "aux.acc_seg": 75.84188, "loss": 0.2284, "time": 0.30123} -{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 36160, "data_time": 0.00588, "decode.loss_seg": 0.14062, "decode.acc_seg": 76.38035, "aux.loss_seg": 0.07585, "aux.acc_seg": 75.067, "loss": 0.21646, "time": 0.30088} -{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14554, "decode.acc_seg": 76.07721, "aux.loss_seg": 0.07667, "aux.acc_seg": 74.79918, "loss": 0.22221, "time": 0.29979} -{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 36160, "data_time": 0.00538, "decode.loss_seg": 0.14596, "decode.acc_seg": 74.73878, "aux.loss_seg": 0.07793, "aux.acc_seg": 73.32766, "loss": 0.22389, "time": 0.30014} -{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14535, "decode.acc_seg": 75.68296, "aux.loss_seg": 0.07653, "aux.acc_seg": 74.44875, "loss": 0.22188, "time": 0.3007} -{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.14857, "decode.acc_seg": 76.64641, "aux.loss_seg": 0.07931, "aux.acc_seg": 75.31841, "loss": 0.22788, "time": 0.30104} -{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.13995, "decode.acc_seg": 75.47781, "aux.loss_seg": 0.07439, "aux.acc_seg": 74.17505, "loss": 0.21434, "time": 0.30083} -{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 36160, "data_time": 0.0052, "decode.loss_seg": 0.14622, "decode.acc_seg": 76.16276, "aux.loss_seg": 0.07745, "aux.acc_seg": 74.81275, "loss": 0.22367, "time": 0.30124} -{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.14413, "decode.acc_seg": 75.68675, "aux.loss_seg": 0.07728, "aux.acc_seg": 74.35787, "loss": 0.22141, "time": 0.30043} -{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14098, "decode.acc_seg": 75.83205, "aux.loss_seg": 0.0737, "aux.acc_seg": 74.65417, "loss": 0.21467, "time": 0.30081} -{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 36160, "data_time": 0.00526, "decode.loss_seg": 0.14486, "decode.acc_seg": 75.19544, "aux.loss_seg": 0.07688, "aux.acc_seg": 73.84119, "loss": 0.22173, "time": 0.30091} -{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.1492, "decode.acc_seg": 76.5124, "aux.loss_seg": 0.07769, "aux.acc_seg": 75.26429, "loss": 0.22688, "time": 0.30112} -{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.14171, "decode.acc_seg": 76.32726, "aux.loss_seg": 0.07613, "aux.acc_seg": 74.99273, "loss": 0.21784, "time": 0.30104} -{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 36160, "data_time": 0.00595, "decode.loss_seg": 0.14539, "decode.acc_seg": 78.00067, "aux.loss_seg": 0.07827, "aux.acc_seg": 76.59801, "loss": 0.22366, "time": 0.30006} -{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 36160, "data_time": 0.00587, "decode.loss_seg": 0.15067, "decode.acc_seg": 75.66254, "aux.loss_seg": 0.08255, "aux.acc_seg": 74.13559, "loss": 0.23321, "time": 0.30089} -{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 36160, "data_time": 0.00552, "decode.loss_seg": 0.14404, "decode.acc_seg": 75.23223, "aux.loss_seg": 0.07635, "aux.acc_seg": 73.89485, "loss": 0.22039, "time": 0.30096} -{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.15275, "decode.acc_seg": 75.04309, "aux.loss_seg": 0.08047, "aux.acc_seg": 73.676, "loss": 0.23322, "time": 0.29988} -{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 36160, "data_time": 0.17666, "decode.loss_seg": 0.14494, "decode.acc_seg": 75.33278, "aux.loss_seg": 0.07726, "aux.acc_seg": 74.00994, "loss": 0.2222, "time": 0.47086} -{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.14444, "decode.acc_seg": 75.55306, "aux.loss_seg": 0.07563, "aux.acc_seg": 74.28838, "loss": 0.22007, "time": 0.30056} -{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.14544, "decode.acc_seg": 75.76626, "aux.loss_seg": 0.07668, "aux.acc_seg": 74.47126, "loss": 0.22213, "time": 0.30107} -{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 36160, "data_time": 0.00569, "decode.loss_seg": 0.1482, "decode.acc_seg": 76.47739, "aux.loss_seg": 0.07858, "aux.acc_seg": 75.11204, "loss": 0.22678, "time": 0.30275} -{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.14753, "decode.acc_seg": 76.38222, "aux.loss_seg": 0.07966, "aux.acc_seg": 74.89112, "loss": 0.2272, "time": 0.30258} -{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14396, "decode.acc_seg": 75.82132, "aux.loss_seg": 0.07644, "aux.acc_seg": 74.53042, "loss": 0.22041, "time": 0.3005} -{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.1372, "decode.acc_seg": 74.05494, "aux.loss_seg": 0.07237, "aux.acc_seg": 72.89054, "loss": 0.20956, "time": 0.30208} -{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14122, "decode.acc_seg": 75.73441, "aux.loss_seg": 0.07587, "aux.acc_seg": 74.41171, "loss": 0.21709, "time": 0.30116} -{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.13739, "decode.acc_seg": 74.55225, "aux.loss_seg": 0.07255, "aux.acc_seg": 73.28621, "loss": 0.20994, "time": 0.30087} -{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.14783, "decode.acc_seg": 76.47844, "aux.loss_seg": 0.07886, "aux.acc_seg": 75.10695, "loss": 0.22669, "time": 0.30009} -{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 36160, "data_time": 0.00594, "decode.loss_seg": 0.15553, "decode.acc_seg": 75.45049, "aux.loss_seg": 0.08092, "aux.acc_seg": 74.08469, "loss": 0.23645, "time": 0.30056} -{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.14754, "decode.acc_seg": 76.15413, "aux.loss_seg": 0.07885, "aux.acc_seg": 74.77035, "loss": 0.22639, "time": 0.30204} -{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.14481, "decode.acc_seg": 75.30645, "aux.loss_seg": 0.07697, "aux.acc_seg": 74.00111, "loss": 0.22179, "time": 0.30119} -{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.14834, "decode.acc_seg": 75.70664, "aux.loss_seg": 0.07812, "aux.acc_seg": 74.45759, "loss": 0.22647, "time": 0.30076} -{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.14095, "decode.acc_seg": 74.34274, "aux.loss_seg": 0.07521, "aux.acc_seg": 73.03661, "loss": 0.21616, "time": 0.3021} -{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 36160, "data_time": 0.00578, "decode.loss_seg": 0.14422, "decode.acc_seg": 76.30772, "aux.loss_seg": 0.07669, "aux.acc_seg": 75.15286, "loss": 0.22092, "time": 0.30202} -{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 36160, "data_time": 0.0057, "decode.loss_seg": 0.14056, "decode.acc_seg": 75.64415, "aux.loss_seg": 0.07477, "aux.acc_seg": 74.32572, "loss": 0.21533, "time": 0.30086} -{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.14526, "decode.acc_seg": 76.33257, "aux.loss_seg": 0.07863, "aux.acc_seg": 74.87772, "loss": 0.22389, "time": 0.30342} -{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 36160, "data_time": 0.00565, "decode.loss_seg": 0.15175, "decode.acc_seg": 75.17066, "aux.loss_seg": 0.08053, "aux.acc_seg": 73.79344, "loss": 0.23229, "time": 0.30262} -{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14249, "decode.acc_seg": 75.92725, "aux.loss_seg": 0.07605, "aux.acc_seg": 74.5717, "loss": 0.21854, "time": 0.302} -{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 36160, "data_time": 0.00564, "decode.loss_seg": 0.14757, "decode.acc_seg": 76.04375, "aux.loss_seg": 0.07758, "aux.acc_seg": 74.72485, "loss": 0.22515, "time": 0.3009} -{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 36160, "data_time": 0.00583, "decode.loss_seg": 0.14752, "decode.acc_seg": 76.37725, "aux.loss_seg": 0.07748, "aux.acc_seg": 75.08337, "loss": 0.225, "time": 0.30125} -{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 36160, "data_time": 0.00648, "decode.loss_seg": 0.13978, "decode.acc_seg": 75.5552, "aux.loss_seg": 0.07439, "aux.acc_seg": 74.2483, "loss": 0.21417, "time": 0.30334} -{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 36160, "data_time": 0.00579, "decode.loss_seg": 0.14141, "decode.acc_seg": 75.95735, "aux.loss_seg": 0.07593, "aux.acc_seg": 74.634, "loss": 0.21734, "time": 0.30089} -{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 36160, "data_time": 0.00562, "decode.loss_seg": 0.1377, "decode.acc_seg": 76.58143, "aux.loss_seg": 0.07274, "aux.acc_seg": 75.36951, "loss": 0.21044, "time": 0.30088} -{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 36160, "data_time": 0.17412, "decode.loss_seg": 0.14659, "decode.acc_seg": 75.4823, "aux.loss_seg": 0.07754, "aux.acc_seg": 74.19913, "loss": 0.22413, "time": 0.46872} -{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 36160, "data_time": 0.00631, "decode.loss_seg": 0.14457, "decode.acc_seg": 75.61892, "aux.loss_seg": 0.07713, "aux.acc_seg": 74.24959, "loss": 0.22171, "time": 0.3013} -{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 36160, "data_time": 0.00629, "decode.loss_seg": 0.14137, "decode.acc_seg": 75.41876, "aux.loss_seg": 0.07567, "aux.acc_seg": 74.03378, "loss": 0.21703, "time": 0.30116} -{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.14062, "decode.acc_seg": 74.87771, "aux.loss_seg": 0.07642, "aux.acc_seg": 73.40537, "loss": 0.21703, "time": 0.29995} -{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.13818, "decode.acc_seg": 76.74033, "aux.loss_seg": 0.07413, "aux.acc_seg": 75.47054, "loss": 0.21231, "time": 0.29975} -{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 36160, "data_time": 0.00592, "decode.loss_seg": 0.14536, "decode.acc_seg": 76.6454, "aux.loss_seg": 0.07741, "aux.acc_seg": 75.28634, "loss": 0.22277, "time": 0.29923} -{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 36160, "data_time": 0.00632, "decode.loss_seg": 0.13816, "decode.acc_seg": 74.60522, "aux.loss_seg": 0.07367, "aux.acc_seg": 73.26521, "loss": 0.21183, "time": 0.3023} -{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 36160, "data_time": 0.00599, "decode.loss_seg": 0.14878, "decode.acc_seg": 75.67317, "aux.loss_seg": 0.07904, "aux.acc_seg": 74.37035, "loss": 0.22782, "time": 0.30289} -{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 36160, "data_time": 0.00657, "decode.loss_seg": 0.14814, "decode.acc_seg": 75.24815, "aux.loss_seg": 0.0783, "aux.acc_seg": 73.88264, "loss": 0.22644, "time": 0.30226} -{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 36160, "data_time": 0.00601, "decode.loss_seg": 0.14152, "decode.acc_seg": 75.25415, "aux.loss_seg": 0.07567, "aux.acc_seg": 73.84837, "loss": 0.21718, "time": 0.30394} -{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 36160, "data_time": 0.00633, "decode.loss_seg": 0.14441, "decode.acc_seg": 76.48898, "aux.loss_seg": 0.07673, "aux.acc_seg": 75.14376, "loss": 0.22114, "time": 0.30556} -{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 36160, "data_time": 0.00635, "decode.loss_seg": 0.14425, "decode.acc_seg": 75.34009, "aux.loss_seg": 0.07691, "aux.acc_seg": 74.02946, "loss": 0.22117, "time": 0.30197} -{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 36160, "data_time": 0.00607, "decode.loss_seg": 0.15239, "decode.acc_seg": 75.98246, "aux.loss_seg": 0.08148, "aux.acc_seg": 74.5732, "loss": 0.23387, "time": 0.3037} -{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 36160, "data_time": 0.00624, "decode.loss_seg": 0.14656, "decode.acc_seg": 76.19272, "aux.loss_seg": 0.07734, "aux.acc_seg": 74.93187, "loss": 0.2239, "time": 0.30217} -{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 36160, "data_time": 0.00669, "decode.loss_seg": 0.14224, "decode.acc_seg": 76.46139, "aux.loss_seg": 0.07644, "aux.acc_seg": 75.07547, "loss": 0.21868, "time": 0.30261} -{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.15027, "decode.acc_seg": 75.71156, "aux.loss_seg": 0.07963, "aux.acc_seg": 74.35945, "loss": 0.2299, "time": 0.3024} -{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14157, "decode.acc_seg": 76.6194, "aux.loss_seg": 0.07506, "aux.acc_seg": 75.33983, "loss": 0.21663, "time": 0.30225} -{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 36160, "data_time": 0.00621, "decode.loss_seg": 0.14644, "decode.acc_seg": 76.71018, "aux.loss_seg": 0.07785, "aux.acc_seg": 75.36491, "loss": 0.22429, "time": 0.30296} -{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 36160, "data_time": 0.00639, "decode.loss_seg": 0.13731, "decode.acc_seg": 78.02403, "aux.loss_seg": 0.07353, "aux.acc_seg": 76.76153, "loss": 0.21084, "time": 0.30261} -{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.13863, "decode.acc_seg": 75.37435, "aux.loss_seg": 0.07404, "aux.acc_seg": 74.07644, "loss": 0.21267, "time": 0.30193} -{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.14344, "decode.acc_seg": 75.89956, "aux.loss_seg": 0.07647, "aux.acc_seg": 74.57875, "loss": 0.21992, "time": 0.30212} -{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 36160, "data_time": 0.00627, "decode.loss_seg": 0.13913, "decode.acc_seg": 76.03823, "aux.loss_seg": 0.07217, "aux.acc_seg": 74.8392, "loss": 0.2113, "time": 0.30196} -{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 36160, "data_time": 0.00623, "decode.loss_seg": 0.1394, "decode.acc_seg": 76.89056, "aux.loss_seg": 0.07449, "aux.acc_seg": 75.55817, "loss": 0.21389, "time": 0.30261} -{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 36160, "data_time": 0.0065, "decode.loss_seg": 0.14797, "decode.acc_seg": 77.1951, "aux.loss_seg": 0.07918, "aux.acc_seg": 75.80009, "loss": 0.22715, "time": 0.30311} -{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 36160, "data_time": 0.00672, "decode.loss_seg": 0.1494, "decode.acc_seg": 75.87262, "aux.loss_seg": 0.07834, "aux.acc_seg": 74.56381, "loss": 0.22774, "time": 0.30448} -{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 36160, "data_time": 0.00611, "decode.loss_seg": 0.14394, "decode.acc_seg": 75.84141, "aux.loss_seg": 0.07537, "aux.acc_seg": 74.61531, "loss": 0.21931, "time": 0.30187} -{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 36160, "data_time": 0.17056, "decode.loss_seg": 0.14336, "decode.acc_seg": 76.0946, "aux.loss_seg": 0.07611, "aux.acc_seg": 74.7932, "loss": 0.21948, "time": 0.46871} -{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 36160, "data_time": 0.00549, "decode.loss_seg": 0.14027, "decode.acc_seg": 76.76874, "aux.loss_seg": 0.07555, "aux.acc_seg": 75.42851, "loss": 0.21582, "time": 0.3007} -{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 36160, "data_time": 0.00533, "decode.loss_seg": 0.13782, "decode.acc_seg": 74.4359, "aux.loss_seg": 0.07439, "aux.acc_seg": 73.11644, "loss": 0.21221, "time": 0.30072} -{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14798, "decode.acc_seg": 76.86329, "aux.loss_seg": 0.07799, "aux.acc_seg": 75.564, "loss": 0.22597, "time": 0.30145} -{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.14234, "decode.acc_seg": 76.2496, "aux.loss_seg": 0.07507, "aux.acc_seg": 75.01901, "loss": 0.21741, "time": 0.30178} -{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14541, "decode.acc_seg": 75.55132, "aux.loss_seg": 0.07699, "aux.acc_seg": 74.22943, "loss": 0.2224, "time": 0.30503} -{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 36160, "data_time": 0.00522, "decode.loss_seg": 0.14339, "decode.acc_seg": 75.15176, "aux.loss_seg": 0.07703, "aux.acc_seg": 73.75478, "loss": 0.22042, "time": 0.3055} -{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14835, "decode.acc_seg": 75.96192, "aux.loss_seg": 0.07974, "aux.acc_seg": 74.5748, "loss": 0.22809, "time": 0.30552} -{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 36160, "data_time": 0.00498, "decode.loss_seg": 0.14062, "decode.acc_seg": 74.89128, "aux.loss_seg": 0.07573, "aux.acc_seg": 73.51618, "loss": 0.21635, "time": 0.30535} -{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.14286, "decode.acc_seg": 75.50021, "aux.loss_seg": 0.07613, "aux.acc_seg": 74.13155, "loss": 0.21899, "time": 0.30374} -{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 36160, "data_time": 0.00489, "decode.loss_seg": 0.14427, "decode.acc_seg": 74.63533, "aux.loss_seg": 0.07728, "aux.acc_seg": 73.31305, "loss": 0.22155, "time": 0.30468} -{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14732, "decode.acc_seg": 77.26158, "aux.loss_seg": 0.07867, "aux.acc_seg": 75.88268, "loss": 0.226, "time": 0.30471} -{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 36160, "data_time": 0.00473, "decode.loss_seg": 0.14229, "decode.acc_seg": 76.14971, "aux.loss_seg": 0.07596, "aux.acc_seg": 74.8096, "loss": 0.21825, "time": 0.30517} -{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.14429, "decode.acc_seg": 76.97209, "aux.loss_seg": 0.07648, "aux.acc_seg": 75.67615, "loss": 0.22077, "time": 0.30558} -{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.14323, "decode.acc_seg": 75.82712, "aux.loss_seg": 0.07616, "aux.acc_seg": 74.5472, "loss": 0.21939, "time": 0.30537} -{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.15021, "decode.acc_seg": 75.53209, "aux.loss_seg": 0.07909, "aux.acc_seg": 74.18578, "loss": 0.2293, "time": 0.30405} -{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14048, "decode.acc_seg": 74.57821, "aux.loss_seg": 0.07358, "aux.acc_seg": 73.31501, "loss": 0.21407, "time": 0.30388} -{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.13746, "decode.acc_seg": 75.88323, "aux.loss_seg": 0.07421, "aux.acc_seg": 74.57525, "loss": 0.21167, "time": 0.30502} -{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.14436, "decode.acc_seg": 76.79382, "aux.loss_seg": 0.0775, "aux.acc_seg": 75.40949, "loss": 0.22185, "time": 0.30086} -{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 36160, "data_time": 0.00472, "decode.loss_seg": 0.14283, "decode.acc_seg": 76.38834, "aux.loss_seg": 0.07527, "aux.acc_seg": 75.10194, "loss": 0.2181, "time": 0.30039} -{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.14573, "decode.acc_seg": 76.28515, "aux.loss_seg": 0.07777, "aux.acc_seg": 74.97667, "loss": 0.2235, "time": 0.29925} -{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14965, "decode.acc_seg": 76.3314, "aux.loss_seg": 0.08029, "aux.acc_seg": 74.92239, "loss": 0.22994, "time": 0.30295} -{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 36160, "data_time": 0.00575, "decode.loss_seg": 0.13758, "decode.acc_seg": 75.20743, "aux.loss_seg": 0.072, "aux.acc_seg": 74.10283, "loss": 0.20958, "time": 0.30155} -{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14198, "decode.acc_seg": 76.57996, "aux.loss_seg": 0.07574, "aux.acc_seg": 75.27522, "loss": 0.21772, "time": 0.2995} -{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 36160, "data_time": 0.00551, "decode.loss_seg": 0.14816, "decode.acc_seg": 75.20226, "aux.loss_seg": 0.08092, "aux.acc_seg": 73.80169, "loss": 0.22908, "time": 0.30279} -{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 36160, "data_time": 0.18107, "decode.loss_seg": 0.14217, "decode.acc_seg": 74.37332, "aux.loss_seg": 0.07543, "aux.acc_seg": 73.08741, "loss": 0.21761, "time": 0.47672} -{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.14121, "decode.acc_seg": 74.92813, "aux.loss_seg": 0.0758, "aux.acc_seg": 73.69649, "loss": 0.21701, "time": 0.30008} -{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 36160, "data_time": 0.00519, "decode.loss_seg": 0.14341, "decode.acc_seg": 76.05347, "aux.loss_seg": 0.07627, "aux.acc_seg": 74.75255, "loss": 0.21968, "time": 0.30001} -{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 36160, "data_time": 0.00493, "decode.loss_seg": 0.13515, "decode.acc_seg": 75.26087, "aux.loss_seg": 0.07177, "aux.acc_seg": 74.08016, "loss": 0.20692, "time": 0.30034} -{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.13975, "decode.acc_seg": 75.47294, "aux.loss_seg": 0.07537, "aux.acc_seg": 74.07523, "loss": 0.21512, "time": 0.30026} -{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.14796, "decode.acc_seg": 76.89631, "aux.loss_seg": 0.07996, "aux.acc_seg": 75.41653, "loss": 0.22792, "time": 0.29993} -{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 36160, "data_time": 0.00554, "decode.loss_seg": 0.13692, "decode.acc_seg": 76.14966, "aux.loss_seg": 0.07281, "aux.acc_seg": 74.87256, "loss": 0.20974, "time": 0.30103} -{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14114, "decode.acc_seg": 75.40439, "aux.loss_seg": 0.07497, "aux.acc_seg": 74.20229, "loss": 0.21611, "time": 0.30254} -{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14307, "decode.acc_seg": 76.12323, "aux.loss_seg": 0.07638, "aux.acc_seg": 74.71516, "loss": 0.21945, "time": 0.30256} -{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14067, "decode.acc_seg": 75.72022, "aux.loss_seg": 0.07593, "aux.acc_seg": 74.35062, "loss": 0.21661, "time": 0.30144} -{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.14512, "decode.acc_seg": 76.61333, "aux.loss_seg": 0.07738, "aux.acc_seg": 75.29689, "loss": 0.2225, "time": 0.30072} -{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 36160, "data_time": 0.00468, "decode.loss_seg": 0.14843, "decode.acc_seg": 74.76142, "aux.loss_seg": 0.0795, "aux.acc_seg": 73.35877, "loss": 0.22793, "time": 0.30057} -{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 36160, "data_time": 0.00494, "decode.loss_seg": 0.14418, "decode.acc_seg": 75.82372, "aux.loss_seg": 0.07767, "aux.acc_seg": 74.42926, "loss": 0.22186, "time": 0.30391} -{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 36160, "data_time": 0.00495, "decode.loss_seg": 0.14442, "decode.acc_seg": 76.52263, "aux.loss_seg": 0.07745, "aux.acc_seg": 75.08953, "loss": 0.22187, "time": 0.30323} -{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 36160, "data_time": 0.00497, "decode.loss_seg": 0.14699, "decode.acc_seg": 75.7093, "aux.loss_seg": 0.07826, "aux.acc_seg": 74.37545, "loss": 0.22525, "time": 0.3039} -{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.1467, "decode.acc_seg": 74.74812, "aux.loss_seg": 0.07727, "aux.acc_seg": 73.44285, "loss": 0.22397, "time": 0.30373} -{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.13834, "decode.acc_seg": 75.48881, "aux.loss_seg": 0.0735, "aux.acc_seg": 74.20264, "loss": 0.21184, "time": 0.30233} -{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 36160, "data_time": 0.00507, "decode.loss_seg": 0.14215, "decode.acc_seg": 76.42703, "aux.loss_seg": 0.0754, "aux.acc_seg": 75.10518, "loss": 0.21755, "time": 0.30257} -{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 36160, "data_time": 0.00492, "decode.loss_seg": 0.13651, "decode.acc_seg": 75.50626, "aux.loss_seg": 0.07216, "aux.acc_seg": 74.23072, "loss": 0.20867, "time": 0.30172} -{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 36160, "data_time": 0.0047, "decode.loss_seg": 0.14749, "decode.acc_seg": 75.78973, "aux.loss_seg": 0.07851, "aux.acc_seg": 74.50442, "loss": 0.226, "time": 0.30169} -{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14049, "decode.acc_seg": 75.53376, "aux.loss_seg": 0.0749, "aux.acc_seg": 74.11545, "loss": 0.21539, "time": 0.30136} -{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 36160, "data_time": 0.00499, "decode.loss_seg": 0.14759, "decode.acc_seg": 76.2261, "aux.loss_seg": 0.07922, "aux.acc_seg": 74.8924, "loss": 0.22681, "time": 0.30175} -{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.14117, "decode.acc_seg": 74.97964, "aux.loss_seg": 0.07575, "aux.acc_seg": 73.66067, "loss": 0.21692, "time": 0.30329} -{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 36160, "data_time": 0.00508, "decode.loss_seg": 0.14087, "decode.acc_seg": 75.97816, "aux.loss_seg": 0.07552, "aux.acc_seg": 74.65905, "loss": 0.21639, "time": 0.30289} -{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 36160, "data_time": 0.00517, "decode.loss_seg": 0.1424, "decode.acc_seg": 76.57938, "aux.loss_seg": 0.07569, "aux.acc_seg": 75.25566, "loss": 0.2181, "time": 0.30358} -{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 36160, "data_time": 0.18058, "decode.loss_seg": 0.14525, "decode.acc_seg": 77.52215, "aux.loss_seg": 0.07822, "aux.acc_seg": 76.10435, "loss": 0.22346, "time": 0.47716} -{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.14373, "decode.acc_seg": 76.40239, "aux.loss_seg": 0.07725, "aux.acc_seg": 74.99914, "loss": 0.22098, "time": 0.29863} -{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 36160, "data_time": 0.00477, "decode.loss_seg": 0.13416, "decode.acc_seg": 76.33756, "aux.loss_seg": 0.07092, "aux.acc_seg": 75.13003, "loss": 0.20508, "time": 0.29838} -{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 36160, "data_time": 0.00449, "decode.loss_seg": 0.14212, "decode.acc_seg": 75.80892, "aux.loss_seg": 0.07634, "aux.acc_seg": 74.46773, "loss": 0.21845, "time": 0.29913} -{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 36160, "data_time": 0.00452, "decode.loss_seg": 0.1415, "decode.acc_seg": 77.49377, "aux.loss_seg": 0.07558, "aux.acc_seg": 76.18318, "loss": 0.21708, "time": 0.29919} -{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.14119, "decode.acc_seg": 75.0708, "aux.loss_seg": 0.07631, "aux.acc_seg": 73.69514, "loss": 0.2175, "time": 0.29956} -{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 36160, "data_time": 0.00447, "decode.loss_seg": 0.13739, "decode.acc_seg": 75.30644, "aux.loss_seg": 0.07317, "aux.acc_seg": 73.99289, "loss": 0.21056, "time": 0.29879} -{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 36160, "data_time": 0.0051, "decode.loss_seg": 0.13924, "decode.acc_seg": 76.21469, "aux.loss_seg": 0.07455, "aux.acc_seg": 74.92625, "loss": 0.2138, "time": 0.30191} -{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 36160, "data_time": 0.00532, "decode.loss_seg": 0.14571, "decode.acc_seg": 76.66214, "aux.loss_seg": 0.07655, "aux.acc_seg": 75.46852, "loss": 0.22226, "time": 0.30137} -{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.14305, "decode.acc_seg": 76.77173, "aux.loss_seg": 0.07602, "aux.acc_seg": 75.39855, "loss": 0.21907, "time": 0.29999} -{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.14569, "decode.acc_seg": 74.91933, "aux.loss_seg": 0.0774, "aux.acc_seg": 73.57618, "loss": 0.2231, "time": 0.30185} -{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.14372, "decode.acc_seg": 75.43443, "aux.loss_seg": 0.07636, "aux.acc_seg": 73.99416, "loss": 0.22008, "time": 0.30124} -{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 36160, "data_time": 0.00454, "decode.loss_seg": 0.14663, "decode.acc_seg": 76.17377, "aux.loss_seg": 0.07765, "aux.acc_seg": 74.84534, "loss": 0.22428, "time": 0.30031} -{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 36160, "data_time": 0.00469, "decode.loss_seg": 0.14273, "decode.acc_seg": 75.83457, "aux.loss_seg": 0.07643, "aux.acc_seg": 74.48695, "loss": 0.21916, "time": 0.30149} -{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.14535, "decode.acc_seg": 75.55409, "aux.loss_seg": 0.0788, "aux.acc_seg": 74.16094, "loss": 0.22415, "time": 0.30234} -{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.13987, "decode.acc_seg": 74.96822, "aux.loss_seg": 0.0735, "aux.acc_seg": 73.68233, "loss": 0.21337, "time": 0.30063} -{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 36160, "data_time": 0.00479, "decode.loss_seg": 0.14255, "decode.acc_seg": 75.67232, "aux.loss_seg": 0.07652, "aux.acc_seg": 74.33508, "loss": 0.21907, "time": 0.29968} -{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.1368, "decode.acc_seg": 75.47301, "aux.loss_seg": 0.07265, "aux.acc_seg": 74.26608, "loss": 0.20945, "time": 0.30205} -{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.14914, "decode.acc_seg": 76.93285, "aux.loss_seg": 0.07857, "aux.acc_seg": 75.63912, "loss": 0.22771, "time": 0.30124} -{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 36160, "data_time": 0.0049, "decode.loss_seg": 0.14822, "decode.acc_seg": 76.57947, "aux.loss_seg": 0.07951, "aux.acc_seg": 75.17514, "loss": 0.22773, "time": 0.30116} -{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 36160, "data_time": 0.00462, "decode.loss_seg": 0.1399, "decode.acc_seg": 76.23201, "aux.loss_seg": 0.07467, "aux.acc_seg": 74.93236, "loss": 0.21458, "time": 0.30269} -{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 36160, "data_time": 0.0046, "decode.loss_seg": 0.13965, "decode.acc_seg": 74.87111, "aux.loss_seg": 0.07454, "aux.acc_seg": 73.61077, "loss": 0.21419, "time": 0.30245} -{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 36160, "data_time": 0.00481, "decode.loss_seg": 0.14374, "decode.acc_seg": 75.03543, "aux.loss_seg": 0.07682, "aux.acc_seg": 73.73032, "loss": 0.22056, "time": 0.30134} -{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 36160, "data_time": 0.00471, "decode.loss_seg": 0.14142, "decode.acc_seg": 75.75132, "aux.loss_seg": 0.07539, "aux.acc_seg": 74.37804, "loss": 0.2168, "time": 0.30073} -{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.14349, "decode.acc_seg": 75.33929, "aux.loss_seg": 0.07783, "aux.acc_seg": 73.93891, "loss": 0.22132, "time": 0.30071} -{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 36160, "data_time": 0.17733, "decode.loss_seg": 0.14196, "decode.acc_seg": 75.63692, "aux.loss_seg": 0.07589, "aux.acc_seg": 74.36655, "loss": 0.21785, "time": 0.47308} -{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 36160, "data_time": 0.00571, "decode.loss_seg": 0.15367, "decode.acc_seg": 76.58666, "aux.loss_seg": 0.08418, "aux.acc_seg": 75.04081, "loss": 0.23784, "time": 0.3007} -{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14156, "decode.acc_seg": 76.6757, "aux.loss_seg": 0.07448, "aux.acc_seg": 75.4346, "loss": 0.21604, "time": 0.30018} -{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 36160, "data_time": 0.00605, "decode.loss_seg": 0.13258, "decode.acc_seg": 75.27676, "aux.loss_seg": 0.07083, "aux.acc_seg": 74.00416, "loss": 0.2034, "time": 0.30046} -{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 36160, "data_time": 0.0058, "decode.loss_seg": 0.14728, "decode.acc_seg": 75.52851, "aux.loss_seg": 0.07808, "aux.acc_seg": 74.21062, "loss": 0.22536, "time": 0.29993} -{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.14292, "decode.acc_seg": 76.4086, "aux.loss_seg": 0.0768, "aux.acc_seg": 74.99904, "loss": 0.21972, "time": 0.29976} -{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 36160, "data_time": 0.00603, "decode.loss_seg": 0.14227, "decode.acc_seg": 76.11059, "aux.loss_seg": 0.07633, "aux.acc_seg": 74.71117, "loss": 0.21861, "time": 0.29931} -{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 36160, "data_time": 0.00602, "decode.loss_seg": 0.14055, "decode.acc_seg": 75.67452, "aux.loss_seg": 0.07454, "aux.acc_seg": 74.3958, "loss": 0.21509, "time": 0.30103} -{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 36160, "data_time": 0.00622, "decode.loss_seg": 0.14665, "decode.acc_seg": 75.4189, "aux.loss_seg": 0.07885, "aux.acc_seg": 73.93791, "loss": 0.2255, "time": 0.30399} -{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.14838, "decode.acc_seg": 76.73599, "aux.loss_seg": 0.07914, "aux.acc_seg": 75.36919, "loss": 0.22752, "time": 0.30286} -{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 36160, "data_time": 0.0062, "decode.loss_seg": 0.14192, "decode.acc_seg": 75.00567, "aux.loss_seg": 0.07669, "aux.acc_seg": 73.61413, "loss": 0.21861, "time": 0.30261} -{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 36160, "data_time": 0.0061, "decode.loss_seg": 0.144, "decode.acc_seg": 75.54248, "aux.loss_seg": 0.07713, "aux.acc_seg": 74.21725, "loss": 0.22113, "time": 0.30157} -{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 36160, "data_time": 0.00598, "decode.loss_seg": 0.13548, "decode.acc_seg": 75.35434, "aux.loss_seg": 0.07332, "aux.acc_seg": 74.06767, "loss": 0.2088, "time": 0.3018} -{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.14256, "decode.acc_seg": 75.9184, "aux.loss_seg": 0.07523, "aux.acc_seg": 74.59808, "loss": 0.21779, "time": 0.30126} -{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 36160, "data_time": 0.00608, "decode.loss_seg": 0.14311, "decode.acc_seg": 75.10736, "aux.loss_seg": 0.07582, "aux.acc_seg": 73.85607, "loss": 0.21893, "time": 0.30214} -{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 36160, "data_time": 0.00625, "decode.loss_seg": 0.14325, "decode.acc_seg": 74.58977, "aux.loss_seg": 0.07723, "aux.acc_seg": 73.20533, "loss": 0.22048, "time": 0.30397} -{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 36160, "data_time": 0.00646, "decode.loss_seg": 0.13663, "decode.acc_seg": 75.15311, "aux.loss_seg": 0.07188, "aux.acc_seg": 73.98365, "loss": 0.20851, "time": 0.3035} -{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 36160, "data_time": 0.00636, "decode.loss_seg": 0.14171, "decode.acc_seg": 76.26168, "aux.loss_seg": 0.07587, "aux.acc_seg": 74.89224, "loss": 0.21758, "time": 0.30359} -{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 36160, "data_time": 0.006, "decode.loss_seg": 0.143, "decode.acc_seg": 76.97635, "aux.loss_seg": 0.07596, "aux.acc_seg": 75.70744, "loss": 0.21897, "time": 0.30169} -{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 36160, "data_time": 0.00616, "decode.loss_seg": 0.14049, "decode.acc_seg": 77.20522, "aux.loss_seg": 0.07514, "aux.acc_seg": 75.87249, "loss": 0.21563, "time": 0.30236} -{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.14422, "decode.acc_seg": 75.23857, "aux.loss_seg": 0.075, "aux.acc_seg": 74.0725, "loss": 0.21922, "time": 0.30191} -{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 36160, "data_time": 0.00581, "decode.loss_seg": 0.14678, "decode.acc_seg": 75.86857, "aux.loss_seg": 0.07757, "aux.acc_seg": 74.59351, "loss": 0.22435, "time": 0.30181} -{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 36160, "data_time": 0.00582, "decode.loss_seg": 0.14389, "decode.acc_seg": 75.7277, "aux.loss_seg": 0.07583, "aux.acc_seg": 74.46808, "loss": 0.21972, "time": 0.30296} -{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 36160, "data_time": 0.00596, "decode.loss_seg": 0.15204, "decode.acc_seg": 73.88101, "aux.loss_seg": 0.08061, "aux.acc_seg": 72.55624, "loss": 0.23265, "time": 0.30283} -{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 36160, "data_time": 0.00615, "decode.loss_seg": 0.14154, "decode.acc_seg": 76.62152, "aux.loss_seg": 0.07614, "aux.acc_seg": 75.23257, "loss": 0.21768, "time": 0.30209} -{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 36160, "data_time": 0.00618, "decode.loss_seg": 0.1445, "decode.acc_seg": 76.69028, "aux.loss_seg": 0.07831, "aux.acc_seg": 75.20809, "loss": 0.22282, "time": 0.30335} -{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 36160, "data_time": 0.16545, "decode.loss_seg": 0.14224, "decode.acc_seg": 75.26019, "aux.loss_seg": 0.07542, "aux.acc_seg": 73.93387, "loss": 0.21766, "time": 0.46174} -{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14276, "decode.acc_seg": 75.80604, "aux.loss_seg": 0.07718, "aux.acc_seg": 74.36664, "loss": 0.21994, "time": 0.30012} -{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14115, "decode.acc_seg": 75.46987, "aux.loss_seg": 0.07591, "aux.acc_seg": 74.16506, "loss": 0.21706, "time": 0.30013} -{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14797, "decode.acc_seg": 74.82717, "aux.loss_seg": 0.07809, "aux.acc_seg": 73.54011, "loss": 0.22606, "time": 0.29884} -{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 36160, "data_time": 0.00466, "decode.loss_seg": 0.14203, "decode.acc_seg": 76.11412, "aux.loss_seg": 0.07552, "aux.acc_seg": 74.81232, "loss": 0.21756, "time": 0.29926} -{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 36160, "data_time": 0.0048, "decode.loss_seg": 0.15074, "decode.acc_seg": 75.7949, "aux.loss_seg": 0.08045, "aux.acc_seg": 74.42521, "loss": 0.23119, "time": 0.30233} -{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 36160, "data_time": 0.00514, "decode.loss_seg": 0.13948, "decode.acc_seg": 75.63142, "aux.loss_seg": 0.07498, "aux.acc_seg": 74.25431, "loss": 0.21446, "time": 0.3027} -{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.14031, "decode.acc_seg": 74.35934, "aux.loss_seg": 0.07477, "aux.acc_seg": 73.04938, "loss": 0.21508, "time": 0.30397} -{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 36160, "data_time": 0.00504, "decode.loss_seg": 0.13558, "decode.acc_seg": 75.57919, "aux.loss_seg": 0.07263, "aux.acc_seg": 74.25776, "loss": 0.20821, "time": 0.30154} -{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 36160, "data_time": 0.00501, "decode.loss_seg": 0.14341, "decode.acc_seg": 75.77553, "aux.loss_seg": 0.07609, "aux.acc_seg": 74.45076, "loss": 0.21949, "time": 0.30237} -{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.13955, "decode.acc_seg": 75.46894, "aux.loss_seg": 0.07412, "aux.acc_seg": 74.1683, "loss": 0.21367, "time": 0.30249} -{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14096, "decode.acc_seg": 75.97155, "aux.loss_seg": 0.07445, "aux.acc_seg": 74.68827, "loss": 0.21541, "time": 0.30354} -{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 36160, "data_time": 0.00467, "decode.loss_seg": 0.14806, "decode.acc_seg": 75.51367, "aux.loss_seg": 0.07924, "aux.acc_seg": 74.13478, "loss": 0.22731, "time": 0.30046} -{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14406, "decode.acc_seg": 76.02139, "aux.loss_seg": 0.07717, "aux.acc_seg": 74.61316, "loss": 0.22124, "time": 0.30245} -{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 36160, "data_time": 0.00488, "decode.loss_seg": 0.14447, "decode.acc_seg": 75.31088, "aux.loss_seg": 0.07796, "aux.acc_seg": 73.83451, "loss": 0.22243, "time": 0.30086} -{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 36160, "data_time": 0.00484, "decode.loss_seg": 0.13416, "decode.acc_seg": 76.44785, "aux.loss_seg": 0.071, "aux.acc_seg": 75.22153, "loss": 0.20516, "time": 0.30206} -{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 36160, "data_time": 0.00483, "decode.loss_seg": 0.14021, "decode.acc_seg": 75.59323, "aux.loss_seg": 0.0747, "aux.acc_seg": 74.27968, "loss": 0.21491, "time": 0.30245} -{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 36160, "data_time": 0.00503, "decode.loss_seg": 0.14752, "decode.acc_seg": 75.67659, "aux.loss_seg": 0.08015, "aux.acc_seg": 74.15511, "loss": 0.22767, "time": 0.30234} -{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 36160, "data_time": 0.00511, "decode.loss_seg": 0.13964, "decode.acc_seg": 75.50895, "aux.loss_seg": 0.0749, "aux.acc_seg": 74.17042, "loss": 0.21454, "time": 0.30194} -{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 36160, "data_time": 0.00486, "decode.loss_seg": 0.14497, "decode.acc_seg": 76.0788, "aux.loss_seg": 0.07801, "aux.acc_seg": 74.62542, "loss": 0.22298, "time": 0.30179} -{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.13953, "decode.acc_seg": 76.5515, "aux.loss_seg": 0.075, "aux.acc_seg": 75.1771, "loss": 0.21454, "time": 0.30215} -{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 36160, "data_time": 0.00476, "decode.loss_seg": 0.13989, "decode.acc_seg": 76.51724, "aux.loss_seg": 0.07452, "aux.acc_seg": 75.2423, "loss": 0.21442, "time": 0.30136} -{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 36160, "data_time": 0.00509, "decode.loss_seg": 0.13927, "decode.acc_seg": 75.57903, "aux.loss_seg": 0.07549, "aux.acc_seg": 74.21574, "loss": 0.21476, "time": 0.3029} -{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 36160, "data_time": 0.00505, "decode.loss_seg": 0.14124, "decode.acc_seg": 76.9043, "aux.loss_seg": 0.07483, "aux.acc_seg": 75.67475, "loss": 0.21608, "time": 0.30358} -{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 36160, "data_time": 0.00482, "decode.loss_seg": 0.13755, "decode.acc_seg": 76.98586, "aux.loss_seg": 0.07499, "aux.acc_seg": 75.55426, "loss": 0.21254, "time": 0.30382} -{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 36160, "data_time": 0.18264, "decode.loss_seg": 0.13989, "decode.acc_seg": 75.54184, "aux.loss_seg": 0.07409, "aux.acc_seg": 74.29856, "loss": 0.21398, "time": 0.47922} -{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 36160, "data_time": 0.00512, "decode.loss_seg": 0.14356, "decode.acc_seg": 74.86127, "aux.loss_seg": 0.07673, "aux.acc_seg": 73.53613, "loss": 0.22029, "time": 0.2999} -{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 36160, "data_time": 0.00506, "decode.loss_seg": 0.13781, "decode.acc_seg": 75.71687, "aux.loss_seg": 0.07444, "aux.acc_seg": 74.32868, "loss": 0.21225, "time": 0.29885} -{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 36160, "data_time": 0.005, "decode.loss_seg": 0.15, "decode.acc_seg": 77.04901, "aux.loss_seg": 0.08204, "aux.acc_seg": 75.57477, "loss": 0.23204, "time": 0.29855} -{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 36160, "data_time": 0.00515, "decode.loss_seg": 0.13948, "decode.acc_seg": 76.23968, "aux.loss_seg": 0.07339, "aux.acc_seg": 75.01568, "loss": 0.21287, "time": 0.3002} -{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 36160, "data_time": 0.00516, "decode.loss_seg": 0.14657, "decode.acc_seg": 74.00311, "aux.loss_seg": 0.07815, "aux.acc_seg": 72.69345, "loss": 0.22472, "time": 0.30026} -{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 36160, "data_time": 0.00527, "decode.loss_seg": 0.14126, "decode.acc_seg": 75.67277, "aux.loss_seg": 0.07619, "aux.acc_seg": 74.25237, "loss": 0.21744, "time": 0.30131} -{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.1405, "decode.acc_seg": 74.28511, "aux.loss_seg": 0.07572, "aux.acc_seg": 72.88447, "loss": 0.21622, "time": 0.30163} -{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.13816, "decode.acc_seg": 75.77603, "aux.loss_seg": 0.07327, "aux.acc_seg": 74.49304, "loss": 0.21143, "time": 0.30143} -{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.14224, "decode.acc_seg": 76.27772, "aux.loss_seg": 0.07555, "aux.acc_seg": 74.96064, "loss": 0.21779, "time": 0.30038} -{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.15075, "decode.acc_seg": 77.07215, "aux.loss_seg": 0.08008, "aux.acc_seg": 75.74818, "loss": 0.23083, "time": 0.30085} -{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 36160, "data_time": 0.00566, "decode.loss_seg": 0.15174, "decode.acc_seg": 76.81307, "aux.loss_seg": 0.08185, "aux.acc_seg": 75.30255, "loss": 0.23359, "time": 0.30237} -{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 36160, "data_time": 0.0054, "decode.loss_seg": 0.14416, "decode.acc_seg": 76.6653, "aux.loss_seg": 0.07593, "aux.acc_seg": 75.38547, "loss": 0.2201, "time": 0.30022} -{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.14076, "decode.acc_seg": 75.12555, "aux.loss_seg": 0.07408, "aux.acc_seg": 73.84027, "loss": 0.21484, "time": 0.30064} -{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.14853, "decode.acc_seg": 75.05484, "aux.loss_seg": 0.08006, "aux.acc_seg": 73.5783, "loss": 0.22859, "time": 0.30132} -{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 36160, "data_time": 0.00524, "decode.loss_seg": 0.14319, "decode.acc_seg": 75.92759, "aux.loss_seg": 0.07679, "aux.acc_seg": 74.61414, "loss": 0.21998, "time": 0.29961} -{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 36160, "data_time": 0.00572, "decode.loss_seg": 0.13717, "decode.acc_seg": 74.51994, "aux.loss_seg": 0.0745, "aux.acc_seg": 73.14619, "loss": 0.21167, "time": 0.30264} -{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.1418, "decode.acc_seg": 75.46819, "aux.loss_seg": 0.07582, "aux.acc_seg": 74.14338, "loss": 0.21761, "time": 0.30186} -{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 36160, "data_time": 0.00544, "decode.loss_seg": 0.13857, "decode.acc_seg": 75.86988, "aux.loss_seg": 0.07483, "aux.acc_seg": 74.44395, "loss": 0.2134, "time": 0.30272} -{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.14479, "decode.acc_seg": 76.46845, "aux.loss_seg": 0.07698, "aux.acc_seg": 75.07956, "loss": 0.22177, "time": 0.30056} -{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 36160, "data_time": 0.00529, "decode.loss_seg": 0.14657, "decode.acc_seg": 75.67276, "aux.loss_seg": 0.07764, "aux.acc_seg": 74.3641, "loss": 0.22421, "time": 0.29981} -{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 36160, "data_time": 0.00528, "decode.loss_seg": 0.14317, "decode.acc_seg": 76.84774, "aux.loss_seg": 0.07656, "aux.acc_seg": 75.57346, "loss": 0.21973, "time": 0.29989} -{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.13328, "decode.acc_seg": 75.68908, "aux.loss_seg": 0.07138, "aux.acc_seg": 74.42079, "loss": 0.20466, "time": 0.30138} -{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 36160, "data_time": 0.00543, "decode.loss_seg": 0.15284, "decode.acc_seg": 76.70131, "aux.loss_seg": 0.08003, "aux.acc_seg": 75.37894, "loss": 0.23287, "time": 0.29989} -{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 36160, "data_time": 0.00535, "decode.loss_seg": 0.13803, "decode.acc_seg": 75.02622, "aux.loss_seg": 0.07265, "aux.acc_seg": 73.73416, "loss": 0.21068, "time": 0.30124} -{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 36160, "data_time": 0.17698, "decode.loss_seg": 0.13487, "decode.acc_seg": 74.90143, "aux.loss_seg": 0.07221, "aux.acc_seg": 73.65456, "loss": 0.20708, "time": 0.47106} -{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 36160, "data_time": 0.00557, "decode.loss_seg": 0.13916, "decode.acc_seg": 75.10113, "aux.loss_seg": 0.07408, "aux.acc_seg": 73.78091, "loss": 0.21324, "time": 0.30006} -{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 36160, "data_time": 0.00541, "decode.loss_seg": 0.14271, "decode.acc_seg": 77.1414, "aux.loss_seg": 0.07618, "aux.acc_seg": 75.77015, "loss": 0.21889, "time": 0.3003} -{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 36160, "data_time": 0.00521, "decode.loss_seg": 0.15069, "decode.acc_seg": 76.65526, "aux.loss_seg": 0.08115, "aux.acc_seg": 75.16945, "loss": 0.23185, "time": 0.3015} -{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.14346, "decode.acc_seg": 76.37084, "aux.loss_seg": 0.07668, "aux.acc_seg": 74.99617, "loss": 0.22013, "time": 0.30111} -{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 36160, "data_time": 0.00539, "decode.loss_seg": 0.1431, "decode.acc_seg": 76.1596, "aux.loss_seg": 0.07679, "aux.acc_seg": 74.73257, "loss": 0.21989, "time": 0.30083} -{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 36160, "data_time": 0.00573, "decode.loss_seg": 0.14484, "decode.acc_seg": 76.67552, "aux.loss_seg": 0.078, "aux.acc_seg": 75.28393, "loss": 0.22284, "time": 0.30151} -{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.1392, "decode.acc_seg": 75.57128, "aux.loss_seg": 0.07421, "aux.acc_seg": 74.19146, "loss": 0.21341, "time": 0.30269} -{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 36160, "data_time": 0.00531, "decode.loss_seg": 0.14404, "decode.acc_seg": 76.61165, "aux.loss_seg": 0.07669, "aux.acc_seg": 75.2846, "loss": 0.22072, "time": 0.30418} -{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 36160, "data_time": 0.0055, "decode.loss_seg": 0.13707, "decode.acc_seg": 78.34678, "aux.loss_seg": 0.07315, "aux.acc_seg": 77.06502, "loss": 0.21022, "time": 0.30316} -{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 36160, "data_time": 0.00553, "decode.loss_seg": 0.14991, "decode.acc_seg": 74.42368, "aux.loss_seg": 0.07855, "aux.acc_seg": 73.14557, "loss": 0.22845, "time": 0.30217} -{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 36160, "data_time": 0.00525, "decode.loss_seg": 0.13887, "decode.acc_seg": 75.1674, "aux.loss_seg": 0.07416, "aux.acc_seg": 73.82194, "loss": 0.21303, "time": 0.30115} -{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 36160, "data_time": 0.00559, "decode.loss_seg": 0.136, "decode.acc_seg": 74.91597, "aux.loss_seg": 0.07265, "aux.acc_seg": 73.70888, "loss": 0.20864, "time": 0.30134} -{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 36160, "data_time": 0.00567, "decode.loss_seg": 0.14829, "decode.acc_seg": 76.39656, "aux.loss_seg": 0.07797, "aux.acc_seg": 75.14761, "loss": 0.22626, "time": 0.30074} -{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 36160, "data_time": 0.00537, "decode.loss_seg": 0.14049, "decode.acc_seg": 74.81638, "aux.loss_seg": 0.0757, "aux.acc_seg": 73.43894, "loss": 0.21619, "time": 0.30163} -{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 36160, "data_time": 0.00586, "decode.loss_seg": 0.14523, "decode.acc_seg": 77.07541, "aux.loss_seg": 0.07764, "aux.acc_seg": 75.83131, "loss": 0.22287, "time": 0.30074} -{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 36160, "data_time": 0.0056, "decode.loss_seg": 0.13977, "decode.acc_seg": 75.1639, "aux.loss_seg": 0.0739, "aux.acc_seg": 73.92277, "loss": 0.21368, "time": 0.30047} -{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4877, "mAcc": 0.6037, "aAcc": 0.8283, "IoU.wall": 0.769, "IoU.building": 0.8221, "IoU.sky": 0.9366, "IoU.floor": 0.8128, "IoU.tree": 0.7369, "IoU.ceiling": 0.8411, "IoU.road": 0.8285, "IoU.bed ": 0.8743, "IoU.windowpane": 0.5946, "IoU.grass": 0.6753, "IoU.cabinet": 0.6168, "IoU.sidewalk": 0.6578, "IoU.person": 0.7858, "IoU.earth": 0.3976, "IoU.door": 0.464, "IoU.table": 0.5885, "IoU.mountain": 0.5855, "IoU.plant": 0.5229, "IoU.curtain": 0.7141, "IoU.chair": 0.5643, "IoU.car": 0.8334, "IoU.water": 0.5342, "IoU.painting": 0.7479, "IoU.sofa": 0.6278, "IoU.shelf": 0.4229, "IoU.house": 0.4827, "IoU.sea": 0.5401, "IoU.mirror": 0.6324, "IoU.rug": 0.6193, "IoU.field": 0.3076, "IoU.armchair": 0.4263, "IoU.seat": 0.6113, "IoU.fence": 0.4113, "IoU.desk": 0.5031, "IoU.rock": 0.4249, "IoU.wardrobe": 0.488, "IoU.lamp": 0.6104, "IoU.bathtub": 0.7499, "IoU.railing": 0.3505, "IoU.cushion": 0.5765, "IoU.base": 0.2903, "IoU.box": 0.2623, "IoU.column": 0.4433, "IoU.signboard": 0.3666, "IoU.chest of drawers": 0.3916, "IoU.counter": 0.3024, "IoU.sand": 0.5175, "IoU.sink": 0.6896, "IoU.skyscraper": 0.6909, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7807, "IoU.grandstand": 0.387, "IoU.path": 0.2658, "IoU.stairs": 0.2906, "IoU.runway": 0.7066, "IoU.case": 0.4148, "IoU.pool table": 0.9194, "IoU.pillow": 0.5501, "IoU.screen door": 0.6131, "IoU.stairway": 0.3041, "IoU.river": 0.1152, "IoU.bridge": 0.7276, "IoU.bookcase": 0.4061, "IoU.blind": NaN, "IoU.coffee table": 0.5188, "IoU.toilet": 0.8248, "IoU.flower": 0.456, "IoU.book": 0.4294, "IoU.hill": 0.1331, "IoU.bench": 0.4509, "IoU.countertop": 0.5583, "IoU.stove": 0.7507, "IoU.palm": 0.5028, "IoU.kitchen island": 0.398, "IoU.computer": 0.6778, "IoU.swivel chair": 0.4416, "IoU.boat": 0.5751, "IoU.bar": 0.3185, "IoU.arcade machine": 0.4698, "IoU.hovel": 0.3417, "IoU.bus": 0.8533, "IoU.towel": 0.6498, "IoU.light": 0.5516, "IoU.truck": 0.2292, "IoU.tower": 0.0433, "IoU.chandelier": 0.6372, "IoU.awning": 0.2955, "IoU.streetlight": 0.2304, "IoU.booth": 0.6227, "IoU.television receiver": NaN, "IoU.airplane": 0.609, "IoU.dirt track": 0.0058, "IoU.apparel": 0.3179, "IoU.pole": 0.184, "IoU.land": 0.0373, "IoU.bannister": 0.0867, "IoU.escalator": 0.3234, "IoU.ottoman": 0.4001, "IoU.bottle": NaN, "IoU.buffet": 0.4467, "IoU.poster": 0.3262, "IoU.stage": 0.1968, "IoU.van": 0.3815, "IoU.ship": 0.7107, "IoU.fountain": 0.2119, "IoU.conveyer belt": 0.8471, "IoU.canopy": 0.2246, "IoU.washer": 0.7217, "IoU.plaything": 0.1861, "IoU.swimming pool": 0.7022, "IoU.stool": 0.3699, "IoU.barrel": 0.4944, "IoU.basket": 0.3548, "IoU.waterfall": 0.5048, "IoU.tent": 0.9358, "IoU.bag": 0.1107, "IoU.minibike": 0.7383, "IoU.cradle": NaN, "IoU.oven": 0.4081, "IoU.ball": 0.4461, "IoU.food": 0.3394, "IoU.step": 0.1239, "IoU.tank": 0.5106, "IoU.trade name": 0.2868, "IoU.microwave": 0.7521, "IoU.pot": 0.5444, "IoU.animal": NaN, "IoU.bicycle": 0.5486, "IoU.lake": 0.4954, "IoU.dishwasher": 0.6271, "IoU.screen": 0.6496, "IoU.blanket": 0.1503, "IoU.sculpture": 0.6613, "IoU.hood": 0.594, "IoU.sconce": 0.444, "IoU.vase": 0.3765, "IoU.traffic light": 0.2934, "IoU.tray": 0.087, "IoU.ashcan": 0.3874, "IoU.fan": 0.6413, "IoU.pier": 0.4004, "IoU.crt screen": 0.0856, "IoU.plate": 0.5586, "IoU.monitor": 0.1277, "IoU.bulletin board": 0.4722, "IoU.shower": 0.0281, "IoU.radiator": 0.6492, "IoU.glass": 0.1573, "IoU.clock": 0.4147, "IoU.flag": 0.4535, "Acc.wall": 0.8816, "Acc.building": 0.9274, "Acc.sky": 0.9725, "Acc.floor": 0.9033, "Acc.tree": 0.8715, "Acc.ceiling": 0.9256, "Acc.road": 0.9033, "Acc.bed ": 0.9458, "Acc.windowpane": 0.7837, "Acc.grass": 0.8475, "Acc.cabinet": 0.746, "Acc.sidewalk": 0.8177, "Acc.person": 0.913, "Acc.earth": 0.5169, "Acc.door": 0.5987, "Acc.table": 0.7576, "Acc.mountain": 0.732, "Acc.plant": 0.619, "Acc.curtain": 0.8296, "Acc.chair": 0.7118, "Acc.car": 0.9124, "Acc.water": 0.6923, "Acc.painting": 0.8683, "Acc.sofa": 0.7934, "Acc.shelf": 0.5957, "Acc.house": 0.6, "Acc.sea": 0.7368, "Acc.mirror": 0.7123, "Acc.rug": 0.7248, "Acc.field": 0.4628, "Acc.armchair": 0.5982, "Acc.seat": 0.8069, "Acc.fence": 0.5477, "Acc.desk": 0.6551, "Acc.rock": 0.6798, "Acc.wardrobe": 0.6288, "Acc.lamp": 0.7401, "Acc.bathtub": 0.824, "Acc.railing": 0.4714, "Acc.cushion": 0.7323, "Acc.base": 0.3765, "Acc.box": 0.34, "Acc.column": 0.5328, "Acc.signboard": 0.5136, "Acc.chest of drawers": 0.5306, "Acc.counter": 0.3862, "Acc.sand": 0.7683, "Acc.sink": 0.7981, "Acc.skyscraper": 0.8533, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8593, "Acc.grandstand": 0.6861, "Acc.path": 0.3527, "Acc.stairs": 0.3472, "Acc.runway": 0.9255, "Acc.case": 0.528, "Acc.pool table": 0.9616, "Acc.pillow": 0.6417, "Acc.screen door": 0.7253, "Acc.stairway": 0.406, "Acc.river": 0.2674, "Acc.bridge": 0.8132, "Acc.bookcase": 0.4874, "Acc.blind": NaN, "Acc.coffee table": 0.7922, "Acc.toilet": 0.8877, "Acc.flower": 0.6023, "Acc.book": 0.6573, "Acc.hill": 0.189, "Acc.bench": 0.5187, "Acc.countertop": 0.7147, "Acc.stove": 0.8214, "Acc.palm": 0.7576, "Acc.kitchen island": 0.7049, "Acc.computer": 0.7889, "Acc.swivel chair": 0.5858, "Acc.boat": 0.7098, "Acc.bar": 0.4142, "Acc.arcade machine": 0.508, "Acc.hovel": 0.3632, "Acc.bus": 0.956, "Acc.towel": 0.7972, "Acc.light": 0.6539, "Acc.truck": 0.3268, "Acc.tower": 0.0763, "Acc.chandelier": 0.8025, "Acc.awning": 0.3417, "Acc.streetlight": 0.302, "Acc.booth": 0.7178, "Acc.television receiver": NaN, "Acc.airplane": 0.7403, "Acc.dirt track": 0.008, "Acc.apparel": 0.4614, "Acc.pole": 0.2714, "Acc.land": 0.0501, "Acc.bannister": 0.1091, "Acc.escalator": 0.346, "Acc.ottoman": 0.5963, "Acc.bottle": NaN, "Acc.buffet": 0.517, "Acc.poster": 0.4589, "Acc.stage": 0.2741, "Acc.van": 0.5346, "Acc.ship": 0.9465, "Acc.fountain": 0.2172, "Acc.conveyer belt": 0.9065, "Acc.canopy": 0.34, "Acc.washer": 0.7503, "Acc.plaything": 0.3163, "Acc.swimming pool": 0.7869, "Acc.stool": 0.5277, "Acc.barrel": 0.7223, "Acc.basket": 0.4525, "Acc.waterfall": 0.6768, "Acc.tent": 0.9803, "Acc.bag": 0.1337, "Acc.minibike": 0.8785, "Acc.cradle": NaN, "Acc.oven": 0.6473, "Acc.ball": 0.505, "Acc.food": 0.398, "Acc.step": 0.1481, "Acc.tank": 0.5911, "Acc.trade name": 0.3467, "Acc.microwave": 0.84, "Acc.pot": 0.6046, "Acc.animal": NaN, "Acc.bicycle": 0.7634, "Acc.lake": 0.5668, "Acc.dishwasher": 0.7257, "Acc.screen": 0.7435, "Acc.blanket": 0.1751, "Acc.sculpture": 0.8179, "Acc.hood": 0.6526, "Acc.sconce": 0.5578, "Acc.vase": 0.5612, "Acc.traffic light": 0.4071, "Acc.tray": 0.1838, "Acc.ashcan": 0.4967, "Acc.fan": 0.7723, "Acc.pier": 0.6508, "Acc.crt screen": 0.2656, "Acc.plate": 0.7337, "Acc.monitor": 0.1456, "Acc.bulletin board": 0.5644, "Acc.shower": 0.0444, "Acc.radiator": 0.7361, "Acc.glass": 0.1743, "Acc.clock": 0.5392, "Acc.flag": 0.4954} diff --git a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt b/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt deleted file mode 100644 index 26336dd2f..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/logs/upernet_svt_s.txt +++ /dev/null @@ -1,3201 +0,0 @@ -{"env_info": "sys.platform: linux\nPython: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: Tesla V100-SXM2-32GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39)\nPyTorch: 1.7.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\n - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_37,code=compute_37\n - CuDNN 8.0.3\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.8.1\nOpenCV: 4.5.1\nMMCV: 1.2.5\nMMCV Compiler: GCC 5.4\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.12.0+5ac19cb", "seed": null, "exp_name": "upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py"} -{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 12989, "data_time": 0.00696, "decode.loss_seg": 4.08857, "decode.acc_seg": 0.4376, "aux.loss_seg": 1.63046, "aux.acc_seg": 1.14162, "loss": 5.71903, "time": 0.5144} -{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 12989, "data_time": 0.00555, "decode.loss_seg": 3.9595, "decode.acc_seg": 3.25053, "aux.loss_seg": 1.59991, "aux.acc_seg": 1.48401, "loss": 5.55941, "time": 0.42354} -{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 12989, "data_time": 0.00554, "decode.loss_seg": 3.85802, "decode.acc_seg": 20.23953, "aux.loss_seg": 1.61093, "aux.acc_seg": 2.60793, "loss": 5.46895, "time": 0.43776} -{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 3.52762, "decode.acc_seg": 31.49107, "aux.loss_seg": 1.57492, "aux.acc_seg": 5.66297, "loss": 5.10254, "time": 0.42564} -{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 3.25249, "decode.acc_seg": 33.5275, "aux.loss_seg": 1.56621, "aux.acc_seg": 15.63767, "loss": 4.8187, "time": 0.41728} -{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 12989, "data_time": 0.00563, "decode.loss_seg": 2.98753, "decode.acc_seg": 37.89002, "aux.loss_seg": 1.53547, "aux.acc_seg": 24.55672, "loss": 4.523, "time": 0.41491} -{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 12989, "data_time": 0.00549, "decode.loss_seg": 2.78302, "decode.acc_seg": 38.61945, "aux.loss_seg": 1.47697, "aux.acc_seg": 28.44116, "loss": 4.26, "time": 0.41098} -{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 2.65954, "decode.acc_seg": 39.73117, "aux.loss_seg": 1.44724, "aux.acc_seg": 30.32517, "loss": 4.10678, "time": 0.40864} -{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 12989, "data_time": 0.00565, "decode.loss_seg": 2.44788, "decode.acc_seg": 40.64465, "aux.loss_seg": 1.36876, "aux.acc_seg": 30.91599, "loss": 3.81664, "time": 0.40814} -{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 12989, "data_time": 0.00561, "decode.loss_seg": 2.23279, "decode.acc_seg": 42.32342, "aux.loss_seg": 1.28071, "aux.acc_seg": 32.27594, "loss": 3.5135, "time": 0.40996} -{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 2.23154, "decode.acc_seg": 42.29113, "aux.loss_seg": 1.26324, "aux.acc_seg": 32.2508, "loss": 3.49477, "time": 0.40963} -{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 12989, "data_time": 0.00556, "decode.loss_seg": 2.014, "decode.acc_seg": 46.35966, "aux.loss_seg": 1.19111, "aux.acc_seg": 34.99193, "loss": 3.20511, "time": 0.41912} -{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 1.89056, "decode.acc_seg": 45.77307, "aux.loss_seg": 1.12043, "aux.acc_seg": 34.51348, "loss": 3.011, "time": 0.41022} -{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 12989, "data_time": 0.0061, "decode.loss_seg": 1.89167, "decode.acc_seg": 45.15402, "aux.loss_seg": 1.10514, "aux.acc_seg": 33.99268, "loss": 2.99681, "time": 0.41455} -{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 12989, "data_time": 0.00579, "decode.loss_seg": 1.74203, "decode.acc_seg": 47.17137, "aux.loss_seg": 1.04391, "aux.acc_seg": 35.54756, "loss": 2.78594, "time": 0.41485} -{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 1.79292, "decode.acc_seg": 46.65388, "aux.loss_seg": 1.04254, "aux.acc_seg": 36.3561, "loss": 2.83546, "time": 0.41062} -{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 1.71851, "decode.acc_seg": 47.02559, "aux.loss_seg": 0.99345, "aux.acc_seg": 37.82375, "loss": 2.71196, "time": 0.40811} -{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 12989, "data_time": 0.0057, "decode.loss_seg": 1.70084, "decode.acc_seg": 46.77554, "aux.loss_seg": 0.97889, "aux.acc_seg": 37.03094, "loss": 2.67973, "time": 0.40657} -{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 1.52627, "decode.acc_seg": 46.7406, "aux.loss_seg": 0.87948, "aux.acc_seg": 38.18323, "loss": 2.40576, "time": 0.41712} -{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 12989, "data_time": 0.00638, "decode.loss_seg": 1.57612, "decode.acc_seg": 47.83316, "aux.loss_seg": 0.8998, "aux.acc_seg": 39.25837, "loss": 2.47592, "time": 0.41713} -{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 1.57446, "decode.acc_seg": 47.81633, "aux.loss_seg": 0.88904, "aux.acc_seg": 38.69116, "loss": 2.4635, "time": 0.41586} -{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 1.5101, "decode.acc_seg": 48.04824, "aux.loss_seg": 0.84652, "aux.acc_seg": 40.07413, "loss": 2.35663, "time": 0.41119} -{"mode": "train", "epoch": 1, "iter": 1150, "lr": 5e-05, "memory": 12989, "data_time": 0.0068, "decode.loss_seg": 1.44355, "decode.acc_seg": 48.68574, "aux.loss_seg": 0.81945, "aux.acc_seg": 40.17556, "loss": 2.26299, "time": 0.41452} -{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 12989, "data_time": 0.0066, "decode.loss_seg": 1.4386, "decode.acc_seg": 49.57802, "aux.loss_seg": 0.81559, "aux.acc_seg": 40.53201, "loss": 2.25419, "time": 0.41026} -{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 1.34267, "decode.acc_seg": 49.90364, "aux.loss_seg": 0.76063, "aux.acc_seg": 41.21464, "loss": 2.10331, "time": 0.4145} -{"mode": "train", "epoch": 2, "iter": 1300, "lr": 5e-05, "memory": 12989, "data_time": 0.2435, "decode.loss_seg": 1.29607, "decode.acc_seg": 51.95837, "aux.loss_seg": 0.74646, "aux.acc_seg": 43.48589, "loss": 2.04253, "time": 0.6509} -{"mode": "train", "epoch": 2, "iter": 1350, "lr": 5e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 1.33951, "decode.acc_seg": 50.691, "aux.loss_seg": 0.75138, "aux.acc_seg": 41.66199, "loss": 2.09089, "time": 0.41337} -{"mode": "train", "epoch": 2, "iter": 1400, "lr": 6e-05, "memory": 12989, "data_time": 0.00638, "decode.loss_seg": 1.27892, "decode.acc_seg": 49.56479, "aux.loss_seg": 0.71601, "aux.acc_seg": 41.4545, "loss": 1.99494, "time": 0.4139} -{"mode": "train", "epoch": 2, "iter": 1450, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 1.2812, "decode.acc_seg": 51.6823, "aux.loss_seg": 0.71887, "aux.acc_seg": 43.2735, "loss": 2.00007, "time": 0.41233} -{"mode": "train", "epoch": 2, "iter": 1500, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 1.28812, "decode.acc_seg": 51.93735, "aux.loss_seg": 0.72593, "aux.acc_seg": 43.2595, "loss": 2.01404, "time": 0.43431} -{"mode": "train", "epoch": 2, "iter": 1550, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 1.26995, "decode.acc_seg": 50.47388, "aux.loss_seg": 0.70382, "aux.acc_seg": 42.87479, "loss": 1.97377, "time": 0.41338} -{"mode": "train", "epoch": 2, "iter": 1600, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 1.26851, "decode.acc_seg": 52.53618, "aux.loss_seg": 0.69437, "aux.acc_seg": 45.07974, "loss": 1.96288, "time": 0.41947} -{"mode": "train", "epoch": 2, "iter": 1650, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 1.21542, "decode.acc_seg": 51.40573, "aux.loss_seg": 0.66886, "aux.acc_seg": 44.97797, "loss": 1.88428, "time": 0.42704} -{"mode": "train", "epoch": 2, "iter": 1700, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 1.24933, "decode.acc_seg": 51.37799, "aux.loss_seg": 0.68353, "aux.acc_seg": 44.41346, "loss": 1.93286, "time": 0.41893} -{"mode": "train", "epoch": 2, "iter": 1750, "lr": 6e-05, "memory": 12989, "data_time": 0.00571, "decode.loss_seg": 1.20783, "decode.acc_seg": 52.43662, "aux.loss_seg": 0.66822, "aux.acc_seg": 45.03264, "loss": 1.87604, "time": 0.41722} -{"mode": "train", "epoch": 2, "iter": 1800, "lr": 6e-05, "memory": 12989, "data_time": 0.00596, "decode.loss_seg": 1.18562, "decode.acc_seg": 53.59854, "aux.loss_seg": 0.65391, "aux.acc_seg": 46.26426, "loss": 1.83953, "time": 0.4151} -{"mode": "train", "epoch": 2, "iter": 1850, "lr": 6e-05, "memory": 12989, "data_time": 0.00579, "decode.loss_seg": 1.19303, "decode.acc_seg": 52.88747, "aux.loss_seg": 0.64987, "aux.acc_seg": 46.09983, "loss": 1.84291, "time": 0.41557} -{"mode": "train", "epoch": 2, "iter": 1900, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 1.2165, "decode.acc_seg": 52.56521, "aux.loss_seg": 0.66287, "aux.acc_seg": 45.15231, "loss": 1.87937, "time": 0.42479} -{"mode": "train", "epoch": 2, "iter": 1950, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 1.1284, "decode.acc_seg": 51.97921, "aux.loss_seg": 0.62751, "aux.acc_seg": 45.13748, "loss": 1.7559, "time": 0.41718} -{"mode": "train", "epoch": 2, "iter": 2000, "lr": 6e-05, "memory": 12989, "data_time": 0.00612, "decode.loss_seg": 1.10271, "decode.acc_seg": 52.8988, "aux.loss_seg": 0.61294, "aux.acc_seg": 45.46351, "loss": 1.71564, "time": 0.42356} -{"mode": "train", "epoch": 2, "iter": 2050, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 1.12502, "decode.acc_seg": 53.14259, "aux.loss_seg": 0.62489, "aux.acc_seg": 46.58249, "loss": 1.74992, "time": 0.43356} -{"mode": "train", "epoch": 2, "iter": 2100, "lr": 6e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 1.12565, "decode.acc_seg": 53.03705, "aux.loss_seg": 0.61699, "aux.acc_seg": 46.21781, "loss": 1.74264, "time": 0.42383} -{"mode": "train", "epoch": 2, "iter": 2150, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 1.1198, "decode.acc_seg": 52.06059, "aux.loss_seg": 0.61663, "aux.acc_seg": 45.38949, "loss": 1.73643, "time": 0.4148} -{"mode": "train", "epoch": 2, "iter": 2200, "lr": 6e-05, "memory": 12989, "data_time": 0.00568, "decode.loss_seg": 1.08232, "decode.acc_seg": 54.44013, "aux.loss_seg": 0.60303, "aux.acc_seg": 47.76323, "loss": 1.68535, "time": 0.41612} -{"mode": "train", "epoch": 2, "iter": 2250, "lr": 6e-05, "memory": 12989, "data_time": 0.00582, "decode.loss_seg": 1.01675, "decode.acc_seg": 54.73436, "aux.loss_seg": 0.57891, "aux.acc_seg": 47.36052, "loss": 1.59566, "time": 0.41185} -{"mode": "train", "epoch": 2, "iter": 2300, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 1.00279, "decode.acc_seg": 54.61122, "aux.loss_seg": 0.55915, "aux.acc_seg": 48.16999, "loss": 1.56195, "time": 0.4108} -{"mode": "train", "epoch": 2, "iter": 2350, "lr": 6e-05, "memory": 12989, "data_time": 0.00578, "decode.loss_seg": 1.05837, "decode.acc_seg": 53.61296, "aux.loss_seg": 0.58788, "aux.acc_seg": 47.37899, "loss": 1.64626, "time": 0.41306} -{"mode": "train", "epoch": 2, "iter": 2400, "lr": 6e-05, "memory": 12989, "data_time": 0.0058, "decode.loss_seg": 1.00161, "decode.acc_seg": 54.37386, "aux.loss_seg": 0.56065, "aux.acc_seg": 48.13782, "loss": 1.56226, "time": 0.41488} -{"mode": "train", "epoch": 2, "iter": 2450, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 1.03381, "decode.acc_seg": 55.00982, "aux.loss_seg": 0.57373, "aux.acc_seg": 49.05836, "loss": 1.60754, "time": 0.41414} -{"mode": "train", "epoch": 2, "iter": 2500, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 1.11448, "decode.acc_seg": 52.60772, "aux.loss_seg": 0.60869, "aux.acc_seg": 46.64088, "loss": 1.72317, "time": 0.41558} -{"mode": "train", "epoch": 3, "iter": 2550, "lr": 6e-05, "memory": 12989, "data_time": 0.24417, "decode.loss_seg": 0.98612, "decode.acc_seg": 53.43829, "aux.loss_seg": 0.55525, "aux.acc_seg": 46.98146, "loss": 1.54136, "time": 0.65473} -{"mode": "train", "epoch": 3, "iter": 2600, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 1.03321, "decode.acc_seg": 55.25043, "aux.loss_seg": 0.58432, "aux.acc_seg": 48.24704, "loss": 1.61753, "time": 0.41743} -{"mode": "train", "epoch": 3, "iter": 2650, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.99496, "decode.acc_seg": 55.41021, "aux.loss_seg": 0.55559, "aux.acc_seg": 49.40479, "loss": 1.55054, "time": 0.42716} -{"mode": "train", "epoch": 3, "iter": 2700, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 1.01564, "decode.acc_seg": 55.03757, "aux.loss_seg": 0.57243, "aux.acc_seg": 49.07541, "loss": 1.58807, "time": 0.41759} -{"mode": "train", "epoch": 3, "iter": 2750, "lr": 6e-05, "memory": 12989, "data_time": 0.00601, "decode.loss_seg": 1.00636, "decode.acc_seg": 55.08015, "aux.loss_seg": 0.57121, "aux.acc_seg": 48.2896, "loss": 1.57757, "time": 0.42713} -{"mode": "train", "epoch": 3, "iter": 2800, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.95854, "decode.acc_seg": 55.12517, "aux.loss_seg": 0.54239, "aux.acc_seg": 49.47747, "loss": 1.50093, "time": 0.41787} -{"mode": "train", "epoch": 3, "iter": 2850, "lr": 6e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 0.97531, "decode.acc_seg": 54.5808, "aux.loss_seg": 0.54485, "aux.acc_seg": 48.97023, "loss": 1.52015, "time": 0.42719} -{"mode": "train", "epoch": 3, "iter": 2900, "lr": 6e-05, "memory": 12989, "data_time": 0.0058, "decode.loss_seg": 1.00057, "decode.acc_seg": 54.18792, "aux.loss_seg": 0.55982, "aux.acc_seg": 47.6201, "loss": 1.56038, "time": 0.41665} -{"mode": "train", "epoch": 3, "iter": 2950, "lr": 6e-05, "memory": 12989, "data_time": 0.00632, "decode.loss_seg": 0.94811, "decode.acc_seg": 55.82015, "aux.loss_seg": 0.5374, "aux.acc_seg": 49.42397, "loss": 1.48551, "time": 0.41965} -{"mode": "train", "epoch": 3, "iter": 3000, "lr": 6e-05, "memory": 12989, "data_time": 0.00568, "decode.loss_seg": 0.93187, "decode.acc_seg": 57.28331, "aux.loss_seg": 0.54198, "aux.acc_seg": 50.80738, "loss": 1.47385, "time": 0.41225} -{"mode": "train", "epoch": 3, "iter": 3050, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.97217, "decode.acc_seg": 54.14799, "aux.loss_seg": 0.5466, "aux.acc_seg": 48.16041, "loss": 1.51877, "time": 0.42043} -{"mode": "train", "epoch": 3, "iter": 3100, "lr": 6e-05, "memory": 12989, "data_time": 0.00607, "decode.loss_seg": 0.93297, "decode.acc_seg": 56.76509, "aux.loss_seg": 0.5372, "aux.acc_seg": 50.47258, "loss": 1.47017, "time": 0.41779} -{"mode": "train", "epoch": 3, "iter": 3150, "lr": 6e-05, "memory": 12989, "data_time": 0.00563, "decode.loss_seg": 0.9719, "decode.acc_seg": 56.55738, "aux.loss_seg": 0.55167, "aux.acc_seg": 50.11307, "loss": 1.52356, "time": 0.40855} -{"mode": "train", "epoch": 3, "iter": 3200, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.9275, "decode.acc_seg": 55.52963, "aux.loss_seg": 0.53477, "aux.acc_seg": 49.16635, "loss": 1.46227, "time": 0.41197} -{"mode": "train", "epoch": 3, "iter": 3250, "lr": 6e-05, "memory": 12989, "data_time": 0.00609, "decode.loss_seg": 0.93457, "decode.acc_seg": 55.97771, "aux.loss_seg": 0.53335, "aux.acc_seg": 49.35899, "loss": 1.46792, "time": 0.41902} -{"mode": "train", "epoch": 3, "iter": 3300, "lr": 6e-05, "memory": 12989, "data_time": 0.00571, "decode.loss_seg": 0.91361, "decode.acc_seg": 56.9722, "aux.loss_seg": 0.52569, "aux.acc_seg": 50.47855, "loss": 1.4393, "time": 0.41451} -{"mode": "train", "epoch": 3, "iter": 3350, "lr": 6e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.91332, "decode.acc_seg": 56.20579, "aux.loss_seg": 0.52597, "aux.acc_seg": 49.68057, "loss": 1.43929, "time": 0.42528} -{"mode": "train", "epoch": 3, "iter": 3400, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.95066, "decode.acc_seg": 56.38103, "aux.loss_seg": 0.53808, "aux.acc_seg": 49.91807, "loss": 1.48874, "time": 0.42177} -{"mode": "train", "epoch": 3, "iter": 3450, "lr": 6e-05, "memory": 12989, "data_time": 0.00569, "decode.loss_seg": 0.89877, "decode.acc_seg": 57.26755, "aux.loss_seg": 0.51613, "aux.acc_seg": 50.87213, "loss": 1.4149, "time": 0.41232} -{"mode": "train", "epoch": 3, "iter": 3500, "lr": 6e-05, "memory": 12989, "data_time": 0.00625, "decode.loss_seg": 0.93664, "decode.acc_seg": 55.43743, "aux.loss_seg": 0.52766, "aux.acc_seg": 49.55512, "loss": 1.4643, "time": 0.41617} -{"mode": "train", "epoch": 3, "iter": 3550, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.89363, "decode.acc_seg": 57.39981, "aux.loss_seg": 0.52137, "aux.acc_seg": 50.96728, "loss": 1.41501, "time": 0.42221} -{"mode": "train", "epoch": 3, "iter": 3600, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.88591, "decode.acc_seg": 57.27462, "aux.loss_seg": 0.51238, "aux.acc_seg": 50.71354, "loss": 1.39828, "time": 0.41717} -{"mode": "train", "epoch": 3, "iter": 3650, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.9172, "decode.acc_seg": 57.18885, "aux.loss_seg": 0.52592, "aux.acc_seg": 50.47041, "loss": 1.44311, "time": 0.42639} -{"mode": "train", "epoch": 3, "iter": 3700, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.88467, "decode.acc_seg": 56.66229, "aux.loss_seg": 0.51909, "aux.acc_seg": 49.53693, "loss": 1.40376, "time": 0.4159} -{"mode": "train", "epoch": 3, "iter": 3750, "lr": 6e-05, "memory": 12989, "data_time": 0.00569, "decode.loss_seg": 0.92386, "decode.acc_seg": 56.85799, "aux.loss_seg": 0.52457, "aux.acc_seg": 50.64509, "loss": 1.44843, "time": 0.41388} -{"mode": "train", "epoch": 4, "iter": 3800, "lr": 6e-05, "memory": 12989, "data_time": 0.23334, "decode.loss_seg": 0.85999, "decode.acc_seg": 56.07443, "aux.loss_seg": 0.50028, "aux.acc_seg": 49.26567, "loss": 1.36028, "time": 0.65188} -{"mode": "train", "epoch": 4, "iter": 3850, "lr": 6e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 0.82886, "decode.acc_seg": 56.99726, "aux.loss_seg": 0.49516, "aux.acc_seg": 49.97847, "loss": 1.32402, "time": 0.41696} -{"mode": "train", "epoch": 4, "iter": 3900, "lr": 6e-05, "memory": 12989, "data_time": 0.00642, "decode.loss_seg": 0.84918, "decode.acc_seg": 57.72104, "aux.loss_seg": 0.49717, "aux.acc_seg": 50.94566, "loss": 1.34634, "time": 0.41614} -{"mode": "train", "epoch": 4, "iter": 3950, "lr": 6e-05, "memory": 12989, "data_time": 0.00602, "decode.loss_seg": 0.85684, "decode.acc_seg": 56.85782, "aux.loss_seg": 0.49133, "aux.acc_seg": 50.69201, "loss": 1.34817, "time": 0.40725} -{"mode": "train", "epoch": 4, "iter": 4000, "lr": 6e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.8674, "decode.acc_seg": 57.64069, "aux.loss_seg": 0.50583, "aux.acc_seg": 50.40912, "loss": 1.37323, "time": 0.41067} -{"mode": "train", "epoch": 4, "iter": 4050, "lr": 6e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.82406, "decode.acc_seg": 57.32682, "aux.loss_seg": 0.47651, "aux.acc_seg": 51.54667, "loss": 1.30057, "time": 0.41121} -{"mode": "train", "epoch": 4, "iter": 4100, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.86743, "decode.acc_seg": 58.72274, "aux.loss_seg": 0.50989, "aux.acc_seg": 51.37053, "loss": 1.37732, "time": 0.41891} -{"mode": "train", "epoch": 4, "iter": 4150, "lr": 6e-05, "memory": 12989, "data_time": 0.00583, "decode.loss_seg": 0.83421, "decode.acc_seg": 57.62883, "aux.loss_seg": 0.49233, "aux.acc_seg": 50.87434, "loss": 1.32654, "time": 0.41505} -{"mode": "train", "epoch": 4, "iter": 4200, "lr": 6e-05, "memory": 12989, "data_time": 0.00634, "decode.loss_seg": 0.82996, "decode.acc_seg": 57.2142, "aux.loss_seg": 0.48534, "aux.acc_seg": 50.38315, "loss": 1.3153, "time": 0.41681} -{"mode": "train", "epoch": 4, "iter": 4250, "lr": 6e-05, "memory": 12989, "data_time": 0.00617, "decode.loss_seg": 0.84499, "decode.acc_seg": 56.93516, "aux.loss_seg": 0.48641, "aux.acc_seg": 50.57964, "loss": 1.3314, "time": 0.40932} -{"mode": "train", "epoch": 4, "iter": 4300, "lr": 6e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.8665, "decode.acc_seg": 57.04714, "aux.loss_seg": 0.49319, "aux.acc_seg": 50.31173, "loss": 1.35969, "time": 0.42089} -{"mode": "train", "epoch": 4, "iter": 4350, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.86799, "decode.acc_seg": 55.97635, "aux.loss_seg": 0.50633, "aux.acc_seg": 48.83596, "loss": 1.37431, "time": 0.41172} -{"mode": "train", "epoch": 4, "iter": 4400, "lr": 6e-05, "memory": 12989, "data_time": 0.00681, "decode.loss_seg": 0.8499, "decode.acc_seg": 57.90521, "aux.loss_seg": 0.50619, "aux.acc_seg": 51.31022, "loss": 1.35609, "time": 0.43295} -{"mode": "train", "epoch": 4, "iter": 4450, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.85261, "decode.acc_seg": 57.32994, "aux.loss_seg": 0.4866, "aux.acc_seg": 50.91483, "loss": 1.33921, "time": 0.4112} -{"mode": "train", "epoch": 4, "iter": 4500, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.84814, "decode.acc_seg": 57.77165, "aux.loss_seg": 0.48783, "aux.acc_seg": 51.14377, "loss": 1.33597, "time": 0.40967} -{"mode": "train", "epoch": 4, "iter": 4550, "lr": 6e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.86977, "decode.acc_seg": 56.96734, "aux.loss_seg": 0.49718, "aux.acc_seg": 50.97081, "loss": 1.36695, "time": 0.41881} -{"mode": "train", "epoch": 4, "iter": 4600, "lr": 6e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.82105, "decode.acc_seg": 57.34747, "aux.loss_seg": 0.47944, "aux.acc_seg": 50.83858, "loss": 1.30049, "time": 0.42011} -{"mode": "train", "epoch": 4, "iter": 4650, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.87689, "decode.acc_seg": 58.24597, "aux.loss_seg": 0.50953, "aux.acc_seg": 51.17864, "loss": 1.38642, "time": 0.41515} -{"mode": "train", "epoch": 4, "iter": 4700, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.78925, "decode.acc_seg": 58.94292, "aux.loss_seg": 0.4632, "aux.acc_seg": 52.52725, "loss": 1.25245, "time": 0.41006} -{"mode": "train", "epoch": 4, "iter": 4750, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.83175, "decode.acc_seg": 57.63421, "aux.loss_seg": 0.48392, "aux.acc_seg": 50.62694, "loss": 1.31567, "time": 0.40797} -{"mode": "train", "epoch": 4, "iter": 4800, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.84912, "decode.acc_seg": 58.29641, "aux.loss_seg": 0.47715, "aux.acc_seg": 52.38104, "loss": 1.32627, "time": 0.40924} -{"mode": "train", "epoch": 4, "iter": 4850, "lr": 6e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.841, "decode.acc_seg": 57.09265, "aux.loss_seg": 0.48045, "aux.acc_seg": 50.85736, "loss": 1.32145, "time": 0.41884} -{"mode": "train", "epoch": 4, "iter": 4900, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.84413, "decode.acc_seg": 57.55112, "aux.loss_seg": 0.48638, "aux.acc_seg": 50.8912, "loss": 1.33052, "time": 0.41952} -{"mode": "train", "epoch": 4, "iter": 4950, "lr": 6e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.82233, "decode.acc_seg": 58.51143, "aux.loss_seg": 0.47558, "aux.acc_seg": 52.24317, "loss": 1.29792, "time": 0.42261} -{"mode": "train", "epoch": 4, "iter": 5000, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.83087, "decode.acc_seg": 57.65218, "aux.loss_seg": 0.47177, "aux.acc_seg": 52.12299, "loss": 1.30263, "time": 0.41663} -{"mode": "train", "epoch": 4, "iter": 5050, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.8057, "decode.acc_seg": 58.42049, "aux.loss_seg": 0.47611, "aux.acc_seg": 52.07293, "loss": 1.28181, "time": 0.40832} -{"mode": "train", "epoch": 5, "iter": 5100, "lr": 6e-05, "memory": 12989, "data_time": 0.23199, "decode.loss_seg": 0.78709, "decode.acc_seg": 57.15266, "aux.loss_seg": 0.4548, "aux.acc_seg": 51.00584, "loss": 1.2419, "time": 0.64203} -{"mode": "train", "epoch": 5, "iter": 5150, "lr": 6e-05, "memory": 12989, "data_time": 0.00668, "decode.loss_seg": 0.82063, "decode.acc_seg": 58.82834, "aux.loss_seg": 0.47222, "aux.acc_seg": 52.4534, "loss": 1.29284, "time": 0.41301} -{"mode": "train", "epoch": 5, "iter": 5200, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.8079, "decode.acc_seg": 59.06741, "aux.loss_seg": 0.46509, "aux.acc_seg": 53.02282, "loss": 1.27299, "time": 0.4102} -{"mode": "train", "epoch": 5, "iter": 5250, "lr": 6e-05, "memory": 12989, "data_time": 0.00585, "decode.loss_seg": 0.85248, "decode.acc_seg": 57.96655, "aux.loss_seg": 0.48723, "aux.acc_seg": 51.27643, "loss": 1.3397, "time": 0.41043} -{"mode": "train", "epoch": 5, "iter": 5300, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.78979, "decode.acc_seg": 59.41826, "aux.loss_seg": 0.47159, "aux.acc_seg": 52.295, "loss": 1.26138, "time": 0.40855} -{"mode": "train", "epoch": 5, "iter": 5350, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.79126, "decode.acc_seg": 59.28914, "aux.loss_seg": 0.46612, "aux.acc_seg": 52.75672, "loss": 1.25738, "time": 0.40784} -{"mode": "train", "epoch": 5, "iter": 5400, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.772, "decode.acc_seg": 58.94173, "aux.loss_seg": 0.45487, "aux.acc_seg": 52.71416, "loss": 1.22687, "time": 0.40658} -{"mode": "train", "epoch": 5, "iter": 5450, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.76718, "decode.acc_seg": 58.78415, "aux.loss_seg": 0.458, "aux.acc_seg": 51.83038, "loss": 1.22518, "time": 0.41079} -{"mode": "train", "epoch": 5, "iter": 5500, "lr": 6e-05, "memory": 12989, "data_time": 0.00578, "decode.loss_seg": 0.80635, "decode.acc_seg": 58.51915, "aux.loss_seg": 0.46639, "aux.acc_seg": 52.0245, "loss": 1.27275, "time": 0.40622} -{"mode": "train", "epoch": 5, "iter": 5550, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.79378, "decode.acc_seg": 58.76327, "aux.loss_seg": 0.46228, "aux.acc_seg": 52.28586, "loss": 1.25607, "time": 0.40745} -{"mode": "train", "epoch": 5, "iter": 5600, "lr": 6e-05, "memory": 12989, "data_time": 0.00649, "decode.loss_seg": 0.78304, "decode.acc_seg": 59.94691, "aux.loss_seg": 0.46142, "aux.acc_seg": 52.71855, "loss": 1.24446, "time": 0.4099} -{"mode": "train", "epoch": 5, "iter": 5650, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.78153, "decode.acc_seg": 58.62614, "aux.loss_seg": 0.45885, "aux.acc_seg": 52.04405, "loss": 1.24038, "time": 0.41276} -{"mode": "train", "epoch": 5, "iter": 5700, "lr": 6e-05, "memory": 12989, "data_time": 0.00576, "decode.loss_seg": 0.76194, "decode.acc_seg": 60.60398, "aux.loss_seg": 0.44839, "aux.acc_seg": 53.60373, "loss": 1.21033, "time": 0.40886} -{"mode": "train", "epoch": 5, "iter": 5750, "lr": 6e-05, "memory": 12989, "data_time": 0.0057, "decode.loss_seg": 0.76612, "decode.acc_seg": 59.31784, "aux.loss_seg": 0.46362, "aux.acc_seg": 51.02304, "loss": 1.22974, "time": 0.40752} -{"mode": "train", "epoch": 5, "iter": 5800, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.74471, "decode.acc_seg": 60.34566, "aux.loss_seg": 0.4346, "aux.acc_seg": 54.14471, "loss": 1.17931, "time": 0.40566} -{"mode": "train", "epoch": 5, "iter": 5850, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.79962, "decode.acc_seg": 60.18002, "aux.loss_seg": 0.45987, "aux.acc_seg": 53.29599, "loss": 1.25949, "time": 0.40669} -{"mode": "train", "epoch": 5, "iter": 5900, "lr": 6e-05, "memory": 12989, "data_time": 0.00566, "decode.loss_seg": 0.81184, "decode.acc_seg": 58.71036, "aux.loss_seg": 0.46123, "aux.acc_seg": 52.76396, "loss": 1.27307, "time": 0.40648} -{"mode": "train", "epoch": 5, "iter": 5950, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.78034, "decode.acc_seg": 58.66112, "aux.loss_seg": 0.44414, "aux.acc_seg": 52.19522, "loss": 1.22449, "time": 0.41762} -{"mode": "train", "epoch": 5, "iter": 6000, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.79373, "decode.acc_seg": 58.86848, "aux.loss_seg": 0.47073, "aux.acc_seg": 51.52759, "loss": 1.26446, "time": 0.40832} -{"mode": "train", "epoch": 5, "iter": 6050, "lr": 6e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 0.78708, "decode.acc_seg": 58.76773, "aux.loss_seg": 0.45818, "aux.acc_seg": 51.88922, "loss": 1.24526, "time": 0.40517} -{"mode": "train", "epoch": 5, "iter": 6100, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.79262, "decode.acc_seg": 57.73021, "aux.loss_seg": 0.46337, "aux.acc_seg": 50.86971, "loss": 1.25599, "time": 0.40994} -{"mode": "train", "epoch": 5, "iter": 6150, "lr": 6e-05, "memory": 12989, "data_time": 0.00567, "decode.loss_seg": 0.73947, "decode.acc_seg": 58.85057, "aux.loss_seg": 0.42814, "aux.acc_seg": 51.88198, "loss": 1.16762, "time": 0.40564} -{"mode": "train", "epoch": 5, "iter": 6200, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.75549, "decode.acc_seg": 58.15654, "aux.loss_seg": 0.43487, "aux.acc_seg": 52.22536, "loss": 1.19036, "time": 0.41498} -{"mode": "train", "epoch": 5, "iter": 6250, "lr": 6e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 0.74465, "decode.acc_seg": 57.47734, "aux.loss_seg": 0.4322, "aux.acc_seg": 51.49403, "loss": 1.17685, "time": 0.41638} -{"mode": "train", "epoch": 5, "iter": 6300, "lr": 6e-05, "memory": 12989, "data_time": 0.00641, "decode.loss_seg": 0.78791, "decode.acc_seg": 58.77586, "aux.loss_seg": 0.4574, "aux.acc_seg": 52.11309, "loss": 1.24531, "time": 0.4224} -{"mode": "train", "epoch": 6, "iter": 6350, "lr": 6e-05, "memory": 12989, "data_time": 0.24224, "decode.loss_seg": 0.74855, "decode.acc_seg": 59.57566, "aux.loss_seg": 0.43041, "aux.acc_seg": 53.76924, "loss": 1.17896, "time": 0.65735} -{"mode": "train", "epoch": 6, "iter": 6400, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.69442, "decode.acc_seg": 58.80809, "aux.loss_seg": 0.4309, "aux.acc_seg": 51.52539, "loss": 1.12532, "time": 0.41378} -{"mode": "train", "epoch": 6, "iter": 6450, "lr": 6e-05, "memory": 12989, "data_time": 0.00612, "decode.loss_seg": 0.72349, "decode.acc_seg": 60.0929, "aux.loss_seg": 0.42292, "aux.acc_seg": 54.18325, "loss": 1.1464, "time": 0.40864} -{"mode": "train", "epoch": 6, "iter": 6500, "lr": 6e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.7746, "decode.acc_seg": 58.29098, "aux.loss_seg": 0.44761, "aux.acc_seg": 51.75013, "loss": 1.2222, "time": 0.40984} -{"mode": "train", "epoch": 6, "iter": 6550, "lr": 6e-05, "memory": 12989, "data_time": 0.00574, "decode.loss_seg": 0.72477, "decode.acc_seg": 60.76269, "aux.loss_seg": 0.4327, "aux.acc_seg": 54.48177, "loss": 1.15747, "time": 0.4059} -{"mode": "train", "epoch": 6, "iter": 6600, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 0.79107, "decode.acc_seg": 59.80685, "aux.loss_seg": 0.46582, "aux.acc_seg": 52.9146, "loss": 1.25688, "time": 0.40823} -{"mode": "train", "epoch": 6, "iter": 6650, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.70938, "decode.acc_seg": 59.57188, "aux.loss_seg": 0.41551, "aux.acc_seg": 53.28869, "loss": 1.1249, "time": 0.4076} -{"mode": "train", "epoch": 6, "iter": 6700, "lr": 6e-05, "memory": 12989, "data_time": 0.00584, "decode.loss_seg": 0.75667, "decode.acc_seg": 59.96697, "aux.loss_seg": 0.4493, "aux.acc_seg": 53.00289, "loss": 1.20597, "time": 0.40811} -{"mode": "train", "epoch": 6, "iter": 6750, "lr": 6e-05, "memory": 12989, "data_time": 0.00563, "decode.loss_seg": 0.74051, "decode.acc_seg": 60.60809, "aux.loss_seg": 0.4376, "aux.acc_seg": 53.66517, "loss": 1.17811, "time": 0.41697} -{"mode": "train", "epoch": 6, "iter": 6800, "lr": 6e-05, "memory": 12989, "data_time": 0.00588, "decode.loss_seg": 0.69574, "decode.acc_seg": 61.12365, "aux.loss_seg": 0.41885, "aux.acc_seg": 54.15821, "loss": 1.1146, "time": 0.40823} -{"mode": "train", "epoch": 6, "iter": 6850, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.71269, "decode.acc_seg": 61.02369, "aux.loss_seg": 0.42057, "aux.acc_seg": 54.55992, "loss": 1.13326, "time": 0.40712} -{"mode": "train", "epoch": 6, "iter": 6900, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.74979, "decode.acc_seg": 59.18056, "aux.loss_seg": 0.43273, "aux.acc_seg": 52.08233, "loss": 1.18252, "time": 0.41404} -{"mode": "train", "epoch": 6, "iter": 6950, "lr": 6e-05, "memory": 12989, "data_time": 0.00582, "decode.loss_seg": 0.72977, "decode.acc_seg": 58.69934, "aux.loss_seg": 0.42813, "aux.acc_seg": 52.5206, "loss": 1.1579, "time": 0.40931} -{"mode": "train", "epoch": 6, "iter": 7000, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.74117, "decode.acc_seg": 59.31483, "aux.loss_seg": 0.42983, "aux.acc_seg": 53.21818, "loss": 1.171, "time": 0.41114} -{"mode": "train", "epoch": 6, "iter": 7050, "lr": 6e-05, "memory": 12989, "data_time": 0.00617, "decode.loss_seg": 0.73035, "decode.acc_seg": 60.31789, "aux.loss_seg": 0.42279, "aux.acc_seg": 53.85888, "loss": 1.15314, "time": 0.40677} -{"mode": "train", "epoch": 6, "iter": 7100, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.72105, "decode.acc_seg": 59.57705, "aux.loss_seg": 0.42065, "aux.acc_seg": 53.66826, "loss": 1.1417, "time": 0.41214} -{"mode": "train", "epoch": 6, "iter": 7150, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.7729, "decode.acc_seg": 58.74733, "aux.loss_seg": 0.45201, "aux.acc_seg": 52.03324, "loss": 1.22491, "time": 0.40547} -{"mode": "train", "epoch": 6, "iter": 7200, "lr": 6e-05, "memory": 12989, "data_time": 0.00683, "decode.loss_seg": 0.72439, "decode.acc_seg": 60.06811, "aux.loss_seg": 0.43227, "aux.acc_seg": 53.07753, "loss": 1.15666, "time": 0.42208} -{"mode": "train", "epoch": 6, "iter": 7250, "lr": 6e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 0.72428, "decode.acc_seg": 59.14178, "aux.loss_seg": 0.41706, "aux.acc_seg": 53.32187, "loss": 1.14135, "time": 0.41251} -{"mode": "train", "epoch": 6, "iter": 7300, "lr": 6e-05, "memory": 12989, "data_time": 0.00668, "decode.loss_seg": 0.73487, "decode.acc_seg": 58.92104, "aux.loss_seg": 0.42629, "aux.acc_seg": 53.08188, "loss": 1.16116, "time": 0.425} -{"mode": "train", "epoch": 6, "iter": 7350, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.73028, "decode.acc_seg": 60.14441, "aux.loss_seg": 0.42549, "aux.acc_seg": 54.02562, "loss": 1.15577, "time": 0.41757} -{"mode": "train", "epoch": 6, "iter": 7400, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 0.73111, "decode.acc_seg": 58.96785, "aux.loss_seg": 0.42411, "aux.acc_seg": 52.74605, "loss": 1.15522, "time": 0.40929} -{"mode": "train", "epoch": 6, "iter": 7450, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.72545, "decode.acc_seg": 61.01784, "aux.loss_seg": 0.42114, "aux.acc_seg": 54.09106, "loss": 1.14659, "time": 0.40942} -{"mode": "train", "epoch": 6, "iter": 7500, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.74165, "decode.acc_seg": 60.28659, "aux.loss_seg": 0.43801, "aux.acc_seg": 53.24167, "loss": 1.17965, "time": 0.40765} -{"mode": "train", "epoch": 6, "iter": 7550, "lr": 6e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.74712, "decode.acc_seg": 60.25896, "aux.loss_seg": 0.43501, "aux.acc_seg": 53.46505, "loss": 1.18213, "time": 0.40764} -{"mode": "train", "epoch": 7, "iter": 7600, "lr": 6e-05, "memory": 12989, "data_time": 0.21832, "decode.loss_seg": 0.73628, "decode.acc_seg": 60.00889, "aux.loss_seg": 0.42109, "aux.acc_seg": 53.60066, "loss": 1.15737, "time": 0.63741} -{"mode": "train", "epoch": 7, "iter": 7650, "lr": 6e-05, "memory": 12989, "data_time": 0.00593, "decode.loss_seg": 0.69858, "decode.acc_seg": 59.97618, "aux.loss_seg": 0.42153, "aux.acc_seg": 53.26662, "loss": 1.1201, "time": 0.4045} -{"mode": "train", "epoch": 7, "iter": 7700, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.73685, "decode.acc_seg": 60.88573, "aux.loss_seg": 0.42683, "aux.acc_seg": 54.40995, "loss": 1.16368, "time": 0.40652} -{"mode": "train", "epoch": 7, "iter": 7750, "lr": 6e-05, "memory": 12989, "data_time": 0.00637, "decode.loss_seg": 0.69149, "decode.acc_seg": 60.29136, "aux.loss_seg": 0.41771, "aux.acc_seg": 53.23791, "loss": 1.10919, "time": 0.40566} -{"mode": "train", "epoch": 7, "iter": 7800, "lr": 6e-05, "memory": 12989, "data_time": 0.00719, "decode.loss_seg": 0.71916, "decode.acc_seg": 59.75614, "aux.loss_seg": 0.42245, "aux.acc_seg": 53.15162, "loss": 1.14161, "time": 0.41194} -{"mode": "train", "epoch": 7, "iter": 7850, "lr": 6e-05, "memory": 12989, "data_time": 0.00629, "decode.loss_seg": 0.67125, "decode.acc_seg": 61.39739, "aux.loss_seg": 0.40705, "aux.acc_seg": 54.35833, "loss": 1.0783, "time": 0.40962} -{"mode": "train", "epoch": 7, "iter": 7900, "lr": 6e-05, "memory": 12989, "data_time": 0.00605, "decode.loss_seg": 0.71499, "decode.acc_seg": 60.09203, "aux.loss_seg": 0.41947, "aux.acc_seg": 53.90389, "loss": 1.13446, "time": 0.4052} -{"mode": "train", "epoch": 7, "iter": 7950, "lr": 6e-05, "memory": 12989, "data_time": 0.00655, "decode.loss_seg": 0.66465, "decode.acc_seg": 60.36502, "aux.loss_seg": 0.39568, "aux.acc_seg": 53.91176, "loss": 1.06033, "time": 0.41695} -{"mode": "train", "epoch": 7, "iter": 8000, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.71627, "decode.acc_seg": 59.32016, "aux.loss_seg": 0.42867, "aux.acc_seg": 52.84201, "loss": 1.14494, "time": 0.40502} -{"mode": "train", "epoch": 7, "iter": 8050, "lr": 6e-05, "memory": 12989, "data_time": 0.00607, "decode.loss_seg": 0.74694, "decode.acc_seg": 61.42056, "aux.loss_seg": 0.43394, "aux.acc_seg": 54.5196, "loss": 1.18088, "time": 0.40434} -{"mode": "train", "epoch": 7, "iter": 8100, "lr": 6e-05, "memory": 12989, "data_time": 0.0061, "decode.loss_seg": 0.71778, "decode.acc_seg": 59.54147, "aux.loss_seg": 0.41928, "aux.acc_seg": 52.52525, "loss": 1.13707, "time": 0.40477} -{"mode": "train", "epoch": 7, "iter": 8150, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.6941, "decode.acc_seg": 59.95545, "aux.loss_seg": 0.40224, "aux.acc_seg": 53.76051, "loss": 1.09634, "time": 0.40795} -{"mode": "train", "epoch": 7, "iter": 8200, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.69666, "decode.acc_seg": 59.54269, "aux.loss_seg": 0.3979, "aux.acc_seg": 53.78526, "loss": 1.09456, "time": 0.40919} -{"mode": "train", "epoch": 7, "iter": 8250, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.72118, "decode.acc_seg": 62.01718, "aux.loss_seg": 0.41822, "aux.acc_seg": 55.37293, "loss": 1.1394, "time": 0.40871} -{"mode": "train", "epoch": 7, "iter": 8300, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.6792, "decode.acc_seg": 60.14691, "aux.loss_seg": 0.40172, "aux.acc_seg": 53.55162, "loss": 1.08092, "time": 0.40525} -{"mode": "train", "epoch": 7, "iter": 8350, "lr": 6e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.724, "decode.acc_seg": 59.47791, "aux.loss_seg": 0.41354, "aux.acc_seg": 53.49308, "loss": 1.13755, "time": 0.41313} -{"mode": "train", "epoch": 7, "iter": 8400, "lr": 6e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 0.70151, "decode.acc_seg": 60.71091, "aux.loss_seg": 0.41376, "aux.acc_seg": 53.97808, "loss": 1.11528, "time": 0.41531} -{"mode": "train", "epoch": 7, "iter": 8450, "lr": 6e-05, "memory": 12989, "data_time": 0.00633, "decode.loss_seg": 0.72824, "decode.acc_seg": 59.73359, "aux.loss_seg": 0.4251, "aux.acc_seg": 53.23485, "loss": 1.15334, "time": 0.42169} -{"mode": "train", "epoch": 7, "iter": 8500, "lr": 6e-05, "memory": 12989, "data_time": 0.00626, "decode.loss_seg": 0.67937, "decode.acc_seg": 60.63518, "aux.loss_seg": 0.41028, "aux.acc_seg": 53.45354, "loss": 1.08965, "time": 0.40594} -{"mode": "train", "epoch": 7, "iter": 8550, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.72365, "decode.acc_seg": 60.08268, "aux.loss_seg": 0.42086, "aux.acc_seg": 53.76709, "loss": 1.14451, "time": 0.42309} -{"mode": "train", "epoch": 7, "iter": 8600, "lr": 6e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.68668, "decode.acc_seg": 61.59467, "aux.loss_seg": 0.40636, "aux.acc_seg": 54.92752, "loss": 1.09304, "time": 0.40826} -{"mode": "train", "epoch": 7, "iter": 8650, "lr": 6e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.73388, "decode.acc_seg": 60.06652, "aux.loss_seg": 0.43599, "aux.acc_seg": 52.74717, "loss": 1.16987, "time": 0.41096} -{"mode": "train", "epoch": 7, "iter": 8700, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.70878, "decode.acc_seg": 61.58513, "aux.loss_seg": 0.41145, "aux.acc_seg": 55.2478, "loss": 1.12022, "time": 0.40665} -{"mode": "train", "epoch": 7, "iter": 8750, "lr": 6e-05, "memory": 12989, "data_time": 0.00607, "decode.loss_seg": 0.67815, "decode.acc_seg": 61.44422, "aux.loss_seg": 0.40982, "aux.acc_seg": 54.20114, "loss": 1.08797, "time": 0.40633} -{"mode": "train", "epoch": 7, "iter": 8800, "lr": 6e-05, "memory": 12989, "data_time": 0.00655, "decode.loss_seg": 0.66416, "decode.acc_seg": 60.80622, "aux.loss_seg": 0.39843, "aux.acc_seg": 53.50002, "loss": 1.06258, "time": 0.41871} -{"mode": "train", "epoch": 8, "iter": 8850, "lr": 6e-05, "memory": 12989, "data_time": 0.22777, "decode.loss_seg": 0.72487, "decode.acc_seg": 59.83173, "aux.loss_seg": 0.4188, "aux.acc_seg": 53.60429, "loss": 1.14367, "time": 0.63795} -{"mode": "train", "epoch": 8, "iter": 8900, "lr": 6e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.67083, "decode.acc_seg": 60.90382, "aux.loss_seg": 0.40398, "aux.acc_seg": 53.54054, "loss": 1.07481, "time": 0.40798} -{"mode": "train", "epoch": 8, "iter": 8950, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.68398, "decode.acc_seg": 60.90498, "aux.loss_seg": 0.40236, "aux.acc_seg": 54.35634, "loss": 1.08634, "time": 0.40309} -{"mode": "train", "epoch": 8, "iter": 9000, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.61445, "decode.acc_seg": 61.55521, "aux.loss_seg": 0.36561, "aux.acc_seg": 55.58413, "loss": 0.98006, "time": 0.41107} -{"mode": "train", "epoch": 8, "iter": 9050, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.69047, "decode.acc_seg": 60.82983, "aux.loss_seg": 0.41217, "aux.acc_seg": 53.88412, "loss": 1.10265, "time": 0.41078} -{"mode": "train", "epoch": 8, "iter": 9100, "lr": 6e-05, "memory": 12989, "data_time": 0.00646, "decode.loss_seg": 0.67945, "decode.acc_seg": 61.12725, "aux.loss_seg": 0.40498, "aux.acc_seg": 53.96848, "loss": 1.08444, "time": 0.42114} -{"mode": "train", "epoch": 8, "iter": 9150, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.68189, "decode.acc_seg": 61.41516, "aux.loss_seg": 0.4079, "aux.acc_seg": 54.25621, "loss": 1.08979, "time": 0.42417} -{"mode": "train", "epoch": 8, "iter": 9200, "lr": 6e-05, "memory": 12989, "data_time": 0.00626, "decode.loss_seg": 0.67685, "decode.acc_seg": 62.2611, "aux.loss_seg": 0.39972, "aux.acc_seg": 55.46935, "loss": 1.07657, "time": 0.41036} -{"mode": "train", "epoch": 8, "iter": 9250, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.70646, "decode.acc_seg": 60.73018, "aux.loss_seg": 0.42445, "aux.acc_seg": 53.54557, "loss": 1.13091, "time": 0.40329} -{"mode": "train", "epoch": 8, "iter": 9300, "lr": 6e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.67094, "decode.acc_seg": 61.76468, "aux.loss_seg": 0.40747, "aux.acc_seg": 54.4958, "loss": 1.07841, "time": 0.41173} -{"mode": "train", "epoch": 8, "iter": 9350, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.68142, "decode.acc_seg": 62.19078, "aux.loss_seg": 0.40147, "aux.acc_seg": 55.69705, "loss": 1.08289, "time": 0.40293} -{"mode": "train", "epoch": 8, "iter": 9400, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.68118, "decode.acc_seg": 60.35218, "aux.loss_seg": 0.38862, "aux.acc_seg": 54.53778, "loss": 1.06979, "time": 0.40923} -{"mode": "train", "epoch": 8, "iter": 9450, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.67731, "decode.acc_seg": 60.41961, "aux.loss_seg": 0.39819, "aux.acc_seg": 53.89031, "loss": 1.0755, "time": 0.41078} -{"mode": "train", "epoch": 8, "iter": 9500, "lr": 6e-05, "memory": 12989, "data_time": 0.0062, "decode.loss_seg": 0.70093, "decode.acc_seg": 62.3275, "aux.loss_seg": 0.4083, "aux.acc_seg": 55.73432, "loss": 1.10922, "time": 0.40912} -{"mode": "train", "epoch": 8, "iter": 9550, "lr": 6e-05, "memory": 12989, "data_time": 0.00593, "decode.loss_seg": 0.67655, "decode.acc_seg": 60.92485, "aux.loss_seg": 0.39988, "aux.acc_seg": 54.33727, "loss": 1.07643, "time": 0.40397} -{"mode": "train", "epoch": 8, "iter": 9600, "lr": 6e-05, "memory": 12989, "data_time": 0.00687, "decode.loss_seg": 0.70967, "decode.acc_seg": 60.89413, "aux.loss_seg": 0.4072, "aux.acc_seg": 54.20797, "loss": 1.11687, "time": 0.40594} -{"mode": "train", "epoch": 8, "iter": 9650, "lr": 6e-05, "memory": 12989, "data_time": 0.00566, "decode.loss_seg": 0.67523, "decode.acc_seg": 61.17843, "aux.loss_seg": 0.39124, "aux.acc_seg": 54.56398, "loss": 1.06647, "time": 0.40271} -{"mode": "train", "epoch": 8, "iter": 9700, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.69134, "decode.acc_seg": 60.9406, "aux.loss_seg": 0.40859, "aux.acc_seg": 54.05028, "loss": 1.09993, "time": 0.41102} -{"mode": "train", "epoch": 8, "iter": 9750, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.6716, "decode.acc_seg": 59.93395, "aux.loss_seg": 0.40399, "aux.acc_seg": 53.1375, "loss": 1.07559, "time": 0.40917} -{"mode": "train", "epoch": 8, "iter": 9800, "lr": 6e-05, "memory": 12989, "data_time": 0.00578, "decode.loss_seg": 0.64531, "decode.acc_seg": 60.28668, "aux.loss_seg": 0.3742, "aux.acc_seg": 54.32045, "loss": 1.01951, "time": 0.41676} -{"mode": "train", "epoch": 8, "iter": 9850, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.69347, "decode.acc_seg": 60.64977, "aux.loss_seg": 0.39693, "aux.acc_seg": 54.60732, "loss": 1.0904, "time": 0.41426} -{"mode": "train", "epoch": 8, "iter": 9900, "lr": 6e-05, "memory": 12989, "data_time": 0.00603, "decode.loss_seg": 0.6925, "decode.acc_seg": 60.55743, "aux.loss_seg": 0.40439, "aux.acc_seg": 53.55494, "loss": 1.09688, "time": 0.4084} -{"mode": "train", "epoch": 8, "iter": 9950, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.68381, "decode.acc_seg": 60.44835, "aux.loss_seg": 0.39395, "aux.acc_seg": 54.58794, "loss": 1.07776, "time": 0.42429} -{"mode": "train", "epoch": 8, "iter": 10000, "lr": 6e-05, "memory": 12989, "data_time": 0.00665, "decode.loss_seg": 0.69003, "decode.acc_seg": 59.32039, "aux.loss_seg": 0.41197, "aux.acc_seg": 52.27357, "loss": 1.102, "time": 0.40684} -{"mode": "train", "epoch": 8, "iter": 10050, "lr": 6e-05, "memory": 12989, "data_time": 0.0061, "decode.loss_seg": 0.67981, "decode.acc_seg": 59.37497, "aux.loss_seg": 0.39551, "aux.acc_seg": 53.12882, "loss": 1.07532, "time": 0.40652} -{"mode": "train", "epoch": 8, "iter": 10100, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 0.68924, "decode.acc_seg": 61.35965, "aux.loss_seg": 0.39648, "aux.acc_seg": 55.55156, "loss": 1.08572, "time": 0.40437} -{"mode": "train", "epoch": 9, "iter": 10150, "lr": 6e-05, "memory": 12989, "data_time": 0.21477, "decode.loss_seg": 0.6413, "decode.acc_seg": 61.3273, "aux.loss_seg": 0.38698, "aux.acc_seg": 54.44257, "loss": 1.02827, "time": 0.63599} -{"mode": "train", "epoch": 9, "iter": 10200, "lr": 6e-05, "memory": 12989, "data_time": 0.00651, "decode.loss_seg": 0.64738, "decode.acc_seg": 61.31641, "aux.loss_seg": 0.38765, "aux.acc_seg": 54.35555, "loss": 1.03502, "time": 0.41392} -{"mode": "train", "epoch": 9, "iter": 10250, "lr": 6e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 0.6363, "decode.acc_seg": 62.37464, "aux.loss_seg": 0.37434, "aux.acc_seg": 55.86621, "loss": 1.01065, "time": 0.41125} -{"mode": "train", "epoch": 9, "iter": 10300, "lr": 6e-05, "memory": 12989, "data_time": 0.00581, "decode.loss_seg": 0.67491, "decode.acc_seg": 60.45947, "aux.loss_seg": 0.39668, "aux.acc_seg": 53.78586, "loss": 1.07159, "time": 0.40368} -{"mode": "train", "epoch": 9, "iter": 10350, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.68452, "decode.acc_seg": 60.71594, "aux.loss_seg": 0.39314, "aux.acc_seg": 54.79293, "loss": 1.07766, "time": 0.40211} -{"mode": "train", "epoch": 9, "iter": 10400, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.6869, "decode.acc_seg": 61.22582, "aux.loss_seg": 0.39769, "aux.acc_seg": 54.7804, "loss": 1.08459, "time": 0.40426} -{"mode": "train", "epoch": 9, "iter": 10450, "lr": 6e-05, "memory": 12989, "data_time": 0.0058, "decode.loss_seg": 0.63826, "decode.acc_seg": 62.23457, "aux.loss_seg": 0.3871, "aux.acc_seg": 55.30149, "loss": 1.02536, "time": 0.40892} -{"mode": "train", "epoch": 9, "iter": 10500, "lr": 6e-05, "memory": 12989, "data_time": 0.00583, "decode.loss_seg": 0.70191, "decode.acc_seg": 59.4873, "aux.loss_seg": 0.41096, "aux.acc_seg": 52.75555, "loss": 1.11287, "time": 0.40591} -{"mode": "train", "epoch": 9, "iter": 10550, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.67786, "decode.acc_seg": 62.14198, "aux.loss_seg": 0.39998, "aux.acc_seg": 55.15013, "loss": 1.07784, "time": 0.40044} -{"mode": "train", "epoch": 9, "iter": 10600, "lr": 6e-05, "memory": 12989, "data_time": 0.00601, "decode.loss_seg": 0.63571, "decode.acc_seg": 62.89799, "aux.loss_seg": 0.38488, "aux.acc_seg": 55.70803, "loss": 1.0206, "time": 0.40156} -{"mode": "train", "epoch": 9, "iter": 10650, "lr": 6e-05, "memory": 12989, "data_time": 0.00646, "decode.loss_seg": 0.6538, "decode.acc_seg": 60.87966, "aux.loss_seg": 0.38555, "aux.acc_seg": 54.95872, "loss": 1.03935, "time": 0.41022} -{"mode": "train", "epoch": 9, "iter": 10700, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.6329, "decode.acc_seg": 61.30056, "aux.loss_seg": 0.3753, "aux.acc_seg": 55.02519, "loss": 1.0082, "time": 0.40301} -{"mode": "train", "epoch": 9, "iter": 10750, "lr": 6e-05, "memory": 12989, "data_time": 0.00635, "decode.loss_seg": 0.64441, "decode.acc_seg": 60.91845, "aux.loss_seg": 0.38995, "aux.acc_seg": 53.5904, "loss": 1.03436, "time": 0.41432} -{"mode": "train", "epoch": 9, "iter": 10800, "lr": 6e-05, "memory": 12989, "data_time": 0.00605, "decode.loss_seg": 0.65687, "decode.acc_seg": 60.57008, "aux.loss_seg": 0.38704, "aux.acc_seg": 54.12651, "loss": 1.04391, "time": 0.40927} -{"mode": "train", "epoch": 9, "iter": 10850, "lr": 6e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.62951, "decode.acc_seg": 60.88931, "aux.loss_seg": 0.37577, "aux.acc_seg": 53.93756, "loss": 1.00528, "time": 0.40617} -{"mode": "train", "epoch": 9, "iter": 10900, "lr": 6e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.62051, "decode.acc_seg": 62.33211, "aux.loss_seg": 0.36212, "aux.acc_seg": 56.34408, "loss": 0.98263, "time": 0.40598} -{"mode": "train", "epoch": 9, "iter": 10950, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.66115, "decode.acc_seg": 61.06071, "aux.loss_seg": 0.39428, "aux.acc_seg": 54.34528, "loss": 1.05543, "time": 0.40244} -{"mode": "train", "epoch": 9, "iter": 11000, "lr": 6e-05, "memory": 12989, "data_time": 0.00609, "decode.loss_seg": 0.67756, "decode.acc_seg": 61.25596, "aux.loss_seg": 0.39858, "aux.acc_seg": 54.56693, "loss": 1.07613, "time": 0.4054} -{"mode": "train", "epoch": 9, "iter": 11050, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.62682, "decode.acc_seg": 63.13754, "aux.loss_seg": 0.37106, "aux.acc_seg": 56.63572, "loss": 0.99788, "time": 0.40349} -{"mode": "train", "epoch": 9, "iter": 11100, "lr": 6e-05, "memory": 12989, "data_time": 0.00587, "decode.loss_seg": 0.65048, "decode.acc_seg": 62.81466, "aux.loss_seg": 0.38454, "aux.acc_seg": 56.39694, "loss": 1.03502, "time": 0.40368} -{"mode": "train", "epoch": 9, "iter": 11150, "lr": 6e-05, "memory": 12989, "data_time": 0.00641, "decode.loss_seg": 0.67889, "decode.acc_seg": 61.74886, "aux.loss_seg": 0.39045, "aux.acc_seg": 55.53489, "loss": 1.06934, "time": 0.40427} -{"mode": "train", "epoch": 9, "iter": 11200, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.64105, "decode.acc_seg": 62.07017, "aux.loss_seg": 0.37923, "aux.acc_seg": 55.4354, "loss": 1.02028, "time": 0.40726} -{"mode": "train", "epoch": 9, "iter": 11250, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.63262, "decode.acc_seg": 61.43451, "aux.loss_seg": 0.3818, "aux.acc_seg": 54.61746, "loss": 1.01442, "time": 0.40287} -{"mode": "train", "epoch": 9, "iter": 11300, "lr": 6e-05, "memory": 12989, "data_time": 0.00597, "decode.loss_seg": 0.66805, "decode.acc_seg": 61.9539, "aux.loss_seg": 0.38788, "aux.acc_seg": 55.56918, "loss": 1.05593, "time": 0.40391} -{"mode": "train", "epoch": 9, "iter": 11350, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.6674, "decode.acc_seg": 60.53795, "aux.loss_seg": 0.38914, "aux.acc_seg": 54.45707, "loss": 1.05653, "time": 0.40935} -{"mode": "train", "epoch": 10, "iter": 11400, "lr": 6e-05, "memory": 12989, "data_time": 0.21748, "decode.loss_seg": 0.66338, "decode.acc_seg": 62.28697, "aux.loss_seg": 0.3791, "aux.acc_seg": 56.23322, "loss": 1.04248, "time": 0.65609} -{"mode": "train", "epoch": 10, "iter": 11450, "lr": 6e-05, "memory": 12989, "data_time": 0.00658, "decode.loss_seg": 0.62402, "decode.acc_seg": 63.77528, "aux.loss_seg": 0.37946, "aux.acc_seg": 56.95123, "loss": 1.00348, "time": 0.41905} -{"mode": "train", "epoch": 10, "iter": 11500, "lr": 6e-05, "memory": 12989, "data_time": 0.00638, "decode.loss_seg": 0.59547, "decode.acc_seg": 63.09225, "aux.loss_seg": 0.36759, "aux.acc_seg": 56.18536, "loss": 0.96306, "time": 0.4159} -{"mode": "train", "epoch": 10, "iter": 11550, "lr": 6e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.66175, "decode.acc_seg": 60.57051, "aux.loss_seg": 0.39005, "aux.acc_seg": 53.87039, "loss": 1.0518, "time": 0.40041} -{"mode": "train", "epoch": 10, "iter": 11600, "lr": 6e-05, "memory": 12989, "data_time": 0.00592, "decode.loss_seg": 0.60651, "decode.acc_seg": 62.59635, "aux.loss_seg": 0.36072, "aux.acc_seg": 56.52248, "loss": 0.96723, "time": 0.40936} -{"mode": "train", "epoch": 10, "iter": 11650, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.62521, "decode.acc_seg": 63.30239, "aux.loss_seg": 0.37562, "aux.acc_seg": 56.78465, "loss": 1.00083, "time": 0.40266} -{"mode": "train", "epoch": 10, "iter": 11700, "lr": 6e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.61798, "decode.acc_seg": 62.73385, "aux.loss_seg": 0.38793, "aux.acc_seg": 55.03852, "loss": 1.00591, "time": 0.40295} -{"mode": "train", "epoch": 10, "iter": 11750, "lr": 6e-05, "memory": 12989, "data_time": 0.00579, "decode.loss_seg": 0.64613, "decode.acc_seg": 62.45065, "aux.loss_seg": 0.38282, "aux.acc_seg": 55.88723, "loss": 1.02895, "time": 0.40316} -{"mode": "train", "epoch": 10, "iter": 11800, "lr": 6e-05, "memory": 12989, "data_time": 0.00619, "decode.loss_seg": 0.61775, "decode.acc_seg": 62.69409, "aux.loss_seg": 0.37234, "aux.acc_seg": 56.12955, "loss": 0.9901, "time": 0.42177} -{"mode": "train", "epoch": 10, "iter": 11850, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.61346, "decode.acc_seg": 61.64458, "aux.loss_seg": 0.36259, "aux.acc_seg": 55.36866, "loss": 0.97605, "time": 0.41793} -{"mode": "train", "epoch": 10, "iter": 11900, "lr": 6e-05, "memory": 12989, "data_time": 0.00572, "decode.loss_seg": 0.61699, "decode.acc_seg": 61.09534, "aux.loss_seg": 0.36415, "aux.acc_seg": 54.85681, "loss": 0.98114, "time": 0.40848} -{"mode": "train", "epoch": 10, "iter": 11950, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.63636, "decode.acc_seg": 61.44814, "aux.loss_seg": 0.37649, "aux.acc_seg": 55.16182, "loss": 1.01285, "time": 0.41256} -{"mode": "train", "epoch": 10, "iter": 12000, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.6109, "decode.acc_seg": 63.06314, "aux.loss_seg": 0.36608, "aux.acc_seg": 56.39133, "loss": 0.97698, "time": 0.42359} -{"mode": "train", "epoch": 10, "iter": 12050, "lr": 6e-05, "memory": 12989, "data_time": 0.0063, "decode.loss_seg": 0.6689, "decode.acc_seg": 61.03263, "aux.loss_seg": 0.38721, "aux.acc_seg": 54.82322, "loss": 1.05611, "time": 0.41662} -{"mode": "train", "epoch": 10, "iter": 12100, "lr": 6e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.64854, "decode.acc_seg": 63.28728, "aux.loss_seg": 0.38369, "aux.acc_seg": 56.67511, "loss": 1.03223, "time": 0.41072} -{"mode": "train", "epoch": 10, "iter": 12150, "lr": 6e-05, "memory": 12989, "data_time": 0.00583, "decode.loss_seg": 0.67321, "decode.acc_seg": 61.16939, "aux.loss_seg": 0.39529, "aux.acc_seg": 54.18661, "loss": 1.0685, "time": 0.40982} -{"mode": "train", "epoch": 10, "iter": 12200, "lr": 6e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.62732, "decode.acc_seg": 61.41327, "aux.loss_seg": 0.36382, "aux.acc_seg": 55.79512, "loss": 0.99114, "time": 0.40618} -{"mode": "train", "epoch": 10, "iter": 12250, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 0.61298, "decode.acc_seg": 61.9989, "aux.loss_seg": 0.35874, "aux.acc_seg": 55.78521, "loss": 0.97172, "time": 0.39902} -{"mode": "train", "epoch": 10, "iter": 12300, "lr": 6e-05, "memory": 12989, "data_time": 0.00573, "decode.loss_seg": 0.6651, "decode.acc_seg": 61.92161, "aux.loss_seg": 0.38829, "aux.acc_seg": 54.81054, "loss": 1.05339, "time": 0.4057} -{"mode": "train", "epoch": 10, "iter": 12350, "lr": 6e-05, "memory": 12989, "data_time": 0.0056, "decode.loss_seg": 0.65477, "decode.acc_seg": 61.45693, "aux.loss_seg": 0.38385, "aux.acc_seg": 54.96014, "loss": 1.03862, "time": 0.40562} -{"mode": "train", "epoch": 10, "iter": 12400, "lr": 6e-05, "memory": 12989, "data_time": 0.00589, "decode.loss_seg": 0.59844, "decode.acc_seg": 62.23963, "aux.loss_seg": 0.35415, "aux.acc_seg": 56.40528, "loss": 0.95259, "time": 0.40667} -{"mode": "train", "epoch": 10, "iter": 12450, "lr": 6e-05, "memory": 12989, "data_time": 0.00581, "decode.loss_seg": 0.61496, "decode.acc_seg": 61.57566, "aux.loss_seg": 0.37236, "aux.acc_seg": 54.24277, "loss": 0.98732, "time": 0.40788} -{"mode": "train", "epoch": 10, "iter": 12500, "lr": 6e-05, "memory": 12989, "data_time": 0.00574, "decode.loss_seg": 0.63826, "decode.acc_seg": 61.71133, "aux.loss_seg": 0.37592, "aux.acc_seg": 55.37526, "loss": 1.01418, "time": 0.40126} -{"mode": "train", "epoch": 10, "iter": 12550, "lr": 6e-05, "memory": 12989, "data_time": 0.00591, "decode.loss_seg": 0.63478, "decode.acc_seg": 62.20378, "aux.loss_seg": 0.37445, "aux.acc_seg": 55.68468, "loss": 1.00922, "time": 0.40883} -{"mode": "train", "epoch": 10, "iter": 12600, "lr": 6e-05, "memory": 12989, "data_time": 0.00575, "decode.loss_seg": 0.63494, "decode.acc_seg": 61.63599, "aux.loss_seg": 0.37381, "aux.acc_seg": 54.9961, "loss": 1.00876, "time": 0.40257} -{"mode": "train", "epoch": 11, "iter": 12650, "lr": 6e-05, "memory": 12989, "data_time": 0.23862, "decode.loss_seg": 0.61395, "decode.acc_seg": 61.2989, "aux.loss_seg": 0.37112, "aux.acc_seg": 54.37952, "loss": 0.98507, "time": 0.63436} -{"mode": "train", "epoch": 11, "iter": 12700, "lr": 6e-05, "memory": 12989, "data_time": 0.00621, "decode.loss_seg": 0.59488, "decode.acc_seg": 64.14718, "aux.loss_seg": 0.36387, "aux.acc_seg": 57.2721, "loss": 0.95876, "time": 0.40223} -{"mode": "train", "epoch": 11, "iter": 12750, "lr": 6e-05, "memory": 12989, "data_time": 0.00682, "decode.loss_seg": 0.64583, "decode.acc_seg": 62.02768, "aux.loss_seg": 0.38031, "aux.acc_seg": 55.35409, "loss": 1.02614, "time": 0.41345} -{"mode": "train", "epoch": 11, "iter": 12800, "lr": 6e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.63212, "decode.acc_seg": 62.10738, "aux.loss_seg": 0.3715, "aux.acc_seg": 55.39358, "loss": 1.00362, "time": 0.41401} -{"mode": "train", "epoch": 11, "iter": 12850, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.61562, "decode.acc_seg": 61.87653, "aux.loss_seg": 0.36447, "aux.acc_seg": 55.92175, "loss": 0.98009, "time": 0.40568} -{"mode": "train", "epoch": 11, "iter": 12900, "lr": 6e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.60313, "decode.acc_seg": 63.54278, "aux.loss_seg": 0.36497, "aux.acc_seg": 56.78318, "loss": 0.9681, "time": 0.41689} -{"mode": "train", "epoch": 11, "iter": 12950, "lr": 6e-05, "memory": 12989, "data_time": 0.00624, "decode.loss_seg": 0.61566, "decode.acc_seg": 61.23064, "aux.loss_seg": 0.37301, "aux.acc_seg": 54.45573, "loss": 0.98867, "time": 0.41229} -{"mode": "train", "epoch": 11, "iter": 13000, "lr": 6e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.62825, "decode.acc_seg": 63.17003, "aux.loss_seg": 0.37368, "aux.acc_seg": 56.369, "loss": 1.00193, "time": 0.40206} -{"mode": "train", "epoch": 11, "iter": 13050, "lr": 6e-05, "memory": 12989, "data_time": 0.00625, "decode.loss_seg": 0.62296, "decode.acc_seg": 62.62997, "aux.loss_seg": 0.37006, "aux.acc_seg": 56.33892, "loss": 0.99302, "time": 0.41178} -{"mode": "train", "epoch": 11, "iter": 13100, "lr": 6e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.60039, "decode.acc_seg": 62.56375, "aux.loss_seg": 0.35879, "aux.acc_seg": 56.17335, "loss": 0.95918, "time": 0.40522} -{"mode": "train", "epoch": 11, "iter": 13150, "lr": 6e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.60151, "decode.acc_seg": 62.68446, "aux.loss_seg": 0.36605, "aux.acc_seg": 55.84587, "loss": 0.96756, "time": 0.40249} -{"mode": "train", "epoch": 11, "iter": 13200, "lr": 6e-05, "memory": 12989, "data_time": 0.00616, "decode.loss_seg": 0.62759, "decode.acc_seg": 63.36268, "aux.loss_seg": 0.36886, "aux.acc_seg": 57.18122, "loss": 0.99645, "time": 0.40264} -{"mode": "train", "epoch": 11, "iter": 13250, "lr": 6e-05, "memory": 12989, "data_time": 0.00577, "decode.loss_seg": 0.61457, "decode.acc_seg": 61.89587, "aux.loss_seg": 0.36526, "aux.acc_seg": 55.41238, "loss": 0.97984, "time": 0.41347} -{"mode": "train", "epoch": 11, "iter": 13300, "lr": 6e-05, "memory": 12989, "data_time": 0.00602, "decode.loss_seg": 0.62195, "decode.acc_seg": 63.35525, "aux.loss_seg": 0.36778, "aux.acc_seg": 57.13342, "loss": 0.98973, "time": 0.40492} -{"mode": "train", "epoch": 11, "iter": 13350, "lr": 5e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.61535, "decode.acc_seg": 60.91615, "aux.loss_seg": 0.35165, "aux.acc_seg": 55.39335, "loss": 0.967, "time": 0.40352} -{"mode": "train", "epoch": 11, "iter": 13400, "lr": 5e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.61134, "decode.acc_seg": 62.1027, "aux.loss_seg": 0.36967, "aux.acc_seg": 54.89209, "loss": 0.98101, "time": 0.40765} -{"mode": "train", "epoch": 11, "iter": 13450, "lr": 5e-05, "memory": 12989, "data_time": 0.00631, "decode.loss_seg": 0.62482, "decode.acc_seg": 63.60477, "aux.loss_seg": 0.37741, "aux.acc_seg": 56.86278, "loss": 1.00222, "time": 0.40525} -{"mode": "train", "epoch": 11, "iter": 13500, "lr": 5e-05, "memory": 12989, "data_time": 0.00641, "decode.loss_seg": 0.60034, "decode.acc_seg": 62.50157, "aux.loss_seg": 0.35301, "aux.acc_seg": 56.17395, "loss": 0.95335, "time": 0.40492} -{"mode": "train", "epoch": 11, "iter": 13550, "lr": 5e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 0.5994, "decode.acc_seg": 63.49001, "aux.loss_seg": 0.35818, "aux.acc_seg": 56.40126, "loss": 0.95759, "time": 0.40322} -{"mode": "train", "epoch": 11, "iter": 13600, "lr": 5e-05, "memory": 12989, "data_time": 0.00636, "decode.loss_seg": 0.62769, "decode.acc_seg": 62.91158, "aux.loss_seg": 0.37832, "aux.acc_seg": 56.39516, "loss": 1.00601, "time": 0.41168} -{"mode": "train", "epoch": 11, "iter": 13650, "lr": 5e-05, "memory": 12989, "data_time": 0.00643, "decode.loss_seg": 0.64854, "decode.acc_seg": 61.23045, "aux.loss_seg": 0.3815, "aux.acc_seg": 54.2954, "loss": 1.03004, "time": 0.40538} -{"mode": "train", "epoch": 11, "iter": 13700, "lr": 5e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 0.62697, "decode.acc_seg": 62.91438, "aux.loss_seg": 0.37419, "aux.acc_seg": 55.97893, "loss": 1.00116, "time": 0.40257} -{"mode": "train", "epoch": 11, "iter": 13750, "lr": 5e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.60552, "decode.acc_seg": 62.21172, "aux.loss_seg": 0.35949, "aux.acc_seg": 55.41447, "loss": 0.96501, "time": 0.4036} -{"mode": "train", "epoch": 11, "iter": 13800, "lr": 5e-05, "memory": 12989, "data_time": 0.00594, "decode.loss_seg": 0.60774, "decode.acc_seg": 61.01882, "aux.loss_seg": 0.36021, "aux.acc_seg": 54.30997, "loss": 0.96795, "time": 0.40305} -{"mode": "train", "epoch": 11, "iter": 13850, "lr": 5e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.60279, "decode.acc_seg": 61.82758, "aux.loss_seg": 0.35276, "aux.acc_seg": 56.41533, "loss": 0.95554, "time": 0.40325} -{"mode": "train", "epoch": 12, "iter": 13900, "lr": 5e-05, "memory": 12989, "data_time": 0.23128, "decode.loss_seg": 0.63531, "decode.acc_seg": 60.85041, "aux.loss_seg": 0.37604, "aux.acc_seg": 54.2959, "loss": 1.01135, "time": 0.64497} -{"mode": "train", "epoch": 12, "iter": 13950, "lr": 5e-05, "memory": 12989, "data_time": 0.0059, "decode.loss_seg": 0.58859, "decode.acc_seg": 64.19202, "aux.loss_seg": 0.35162, "aux.acc_seg": 58.20643, "loss": 0.94021, "time": 0.40176} -{"mode": "train", "epoch": 12, "iter": 14000, "lr": 5e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.59941, "decode.acc_seg": 62.62608, "aux.loss_seg": 0.3657, "aux.acc_seg": 55.61011, "loss": 0.96511, "time": 0.40429} -{"mode": "train", "epoch": 12, "iter": 14050, "lr": 5e-05, "memory": 12989, "data_time": 0.00613, "decode.loss_seg": 0.6038, "decode.acc_seg": 62.56645, "aux.loss_seg": 0.36101, "aux.acc_seg": 56.12513, "loss": 0.96481, "time": 0.41313} -{"mode": "train", "epoch": 12, "iter": 14100, "lr": 5e-05, "memory": 12989, "data_time": 0.00608, "decode.loss_seg": 0.60007, "decode.acc_seg": 62.36094, "aux.loss_seg": 0.35361, "aux.acc_seg": 56.51217, "loss": 0.95368, "time": 0.41187} -{"mode": "train", "epoch": 12, "iter": 14150, "lr": 5e-05, "memory": 12989, "data_time": 0.00626, "decode.loss_seg": 0.61287, "decode.acc_seg": 61.62155, "aux.loss_seg": 0.35951, "aux.acc_seg": 55.37971, "loss": 0.97238, "time": 0.41018} -{"mode": "train", "epoch": 12, "iter": 14200, "lr": 5e-05, "memory": 12989, "data_time": 0.00628, "decode.loss_seg": 0.6118, "decode.acc_seg": 63.21259, "aux.loss_seg": 0.36644, "aux.acc_seg": 56.85818, "loss": 0.97824, "time": 0.40529} -{"mode": "train", "epoch": 12, "iter": 14250, "lr": 5e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.61696, "decode.acc_seg": 62.99776, "aux.loss_seg": 0.36207, "aux.acc_seg": 56.54885, "loss": 0.97903, "time": 0.40368} -{"mode": "train", "epoch": 12, "iter": 14300, "lr": 5e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.559, "decode.acc_seg": 63.02233, "aux.loss_seg": 0.34378, "aux.acc_seg": 56.41711, "loss": 0.90279, "time": 0.40843} -{"mode": "train", "epoch": 12, "iter": 14350, "lr": 5e-05, "memory": 12989, "data_time": 0.00617, "decode.loss_seg": 0.5855, "decode.acc_seg": 63.36886, "aux.loss_seg": 0.35844, "aux.acc_seg": 56.68675, "loss": 0.94394, "time": 0.40745} -{"mode": "train", "epoch": 12, "iter": 14400, "lr": 5e-05, "memory": 12989, "data_time": 0.00614, "decode.loss_seg": 0.62744, "decode.acc_seg": 61.82056, "aux.loss_seg": 0.36975, "aux.acc_seg": 55.2648, "loss": 0.99718, "time": 0.4096} -{"mode": "train", "epoch": 12, "iter": 14450, "lr": 5e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.59601, "decode.acc_seg": 62.87846, "aux.loss_seg": 0.36403, "aux.acc_seg": 55.56265, "loss": 0.96004, "time": 0.40067} -{"mode": "train", "epoch": 12, "iter": 14500, "lr": 5e-05, "memory": 12989, "data_time": 0.006, "decode.loss_seg": 0.63396, "decode.acc_seg": 62.57776, "aux.loss_seg": 0.37849, "aux.acc_seg": 55.70987, "loss": 1.01244, "time": 0.399} -{"mode": "train", "epoch": 12, "iter": 14550, "lr": 5e-05, "memory": 12989, "data_time": 0.00604, "decode.loss_seg": 0.61948, "decode.acc_seg": 62.33975, "aux.loss_seg": 0.36459, "aux.acc_seg": 55.87937, "loss": 0.98407, "time": 0.39925} -{"mode": "train", "epoch": 12, "iter": 14600, "lr": 5e-05, "memory": 12989, "data_time": 0.00596, "decode.loss_seg": 0.57853, "decode.acc_seg": 63.53967, "aux.loss_seg": 0.34856, "aux.acc_seg": 56.90493, "loss": 0.9271, "time": 0.40873} -{"mode": "train", "epoch": 12, "iter": 14650, "lr": 5e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.59944, "decode.acc_seg": 62.62496, "aux.loss_seg": 0.36435, "aux.acc_seg": 55.6033, "loss": 0.96379, "time": 0.40243} -{"mode": "train", "epoch": 12, "iter": 14700, "lr": 5e-05, "memory": 12989, "data_time": 0.00576, "decode.loss_seg": 0.6179, "decode.acc_seg": 61.79359, "aux.loss_seg": 0.36682, "aux.acc_seg": 55.22579, "loss": 0.98471, "time": 0.39907} -{"mode": "train", "epoch": 12, "iter": 14750, "lr": 5e-05, "memory": 12989, "data_time": 0.00623, "decode.loss_seg": 0.59275, "decode.acc_seg": 64.30006, "aux.loss_seg": 0.35483, "aux.acc_seg": 57.84087, "loss": 0.94757, "time": 0.39822} -{"mode": "train", "epoch": 12, "iter": 14800, "lr": 5e-05, "memory": 12989, "data_time": 0.00605, "decode.loss_seg": 0.5935, "decode.acc_seg": 63.08879, "aux.loss_seg": 0.35312, "aux.acc_seg": 56.84124, "loss": 0.94662, "time": 0.40237} -{"mode": "train", "epoch": 12, "iter": 14850, "lr": 5e-05, "memory": 12989, "data_time": 0.00606, "decode.loss_seg": 0.62601, "decode.acc_seg": 65.03402, "aux.loss_seg": 0.36628, "aux.acc_seg": 58.63048, "loss": 0.99229, "time": 0.40213} -{"mode": "train", "epoch": 12, "iter": 14900, "lr": 5e-05, "memory": 12989, "data_time": 0.00601, "decode.loss_seg": 0.60334, "decode.acc_seg": 63.40017, "aux.loss_seg": 0.36111, "aux.acc_seg": 56.89431, "loss": 0.96445, "time": 0.402} -{"mode": "train", "epoch": 12, "iter": 14950, "lr": 5e-05, "memory": 12989, "data_time": 0.00683, "decode.loss_seg": 0.60198, "decode.acc_seg": 62.79343, "aux.loss_seg": 0.34842, "aux.acc_seg": 56.65438, "loss": 0.9504, "time": 0.40402} -{"mode": "train", "epoch": 12, "iter": 15000, "lr": 5e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.61085, "decode.acc_seg": 61.96543, "aux.loss_seg": 0.35197, "aux.acc_seg": 56.08135, "loss": 0.96282, "time": 0.41855} -{"mode": "train", "epoch": 12, "iter": 15050, "lr": 5e-05, "memory": 12989, "data_time": 0.00598, "decode.loss_seg": 0.56913, "decode.acc_seg": 62.84416, "aux.loss_seg": 0.34887, "aux.acc_seg": 56.34796, "loss": 0.918, "time": 0.40203} -{"mode": "train", "epoch": 12, "iter": 15100, "lr": 5e-05, "memory": 12989, "data_time": 0.00581, "decode.loss_seg": 0.59315, "decode.acc_seg": 62.59966, "aux.loss_seg": 0.36409, "aux.acc_seg": 55.63153, "loss": 0.95724, "time": 0.40241} -{"mode": "train", "epoch": 12, "iter": 15150, "lr": 5e-05, "memory": 12989, "data_time": 0.00595, "decode.loss_seg": 0.6031, "decode.acc_seg": 62.75025, "aux.loss_seg": 0.36173, "aux.acc_seg": 56.25088, "loss": 0.96483, "time": 0.39858} -{"mode": "train", "epoch": 13, "iter": 15200, "lr": 5e-05, "memory": 12989, "data_time": 0.24501, "decode.loss_seg": 0.58359, "decode.acc_seg": 64.02403, "aux.loss_seg": 0.35176, "aux.acc_seg": 57.67403, "loss": 0.93535, "time": 0.64142} -{"mode": "train", "epoch": 13, "iter": 15250, "lr": 5e-05, "memory": 12989, "data_time": 0.00586, "decode.loss_seg": 0.57294, "decode.acc_seg": 64.69461, "aux.loss_seg": 0.34849, "aux.acc_seg": 58.42655, "loss": 0.92143, "time": 0.40087} -{"mode": "train", "epoch": 13, "iter": 15300, "lr": 5e-05, "memory": 12989, "data_time": 0.00615, "decode.loss_seg": 0.58014, "decode.acc_seg": 63.61146, "aux.loss_seg": 0.34702, "aux.acc_seg": 57.5139, "loss": 0.92715, "time": 0.40451} -{"mode": "train", "epoch": 13, "iter": 15350, "lr": 5e-05, "memory": 12989, "data_time": 0.00611, "decode.loss_seg": 0.55974, "decode.acc_seg": 64.58809, "aux.loss_seg": 0.34433, "aux.acc_seg": 57.75431, "loss": 0.90407, "time": 0.40814} -{"mode": "train", "epoch": 13, "iter": 15400, "lr": 5e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.63253, "decode.acc_seg": 63.11273, "aux.loss_seg": 0.36607, "aux.acc_seg": 56.48906, "loss": 0.9986, "time": 0.41461} -{"mode": "train", "epoch": 13, "iter": 15450, "lr": 5e-05, "memory": 12989, "data_time": 0.00627, "decode.loss_seg": 0.56376, "decode.acc_seg": 61.98657, "aux.loss_seg": 0.34118, "aux.acc_seg": 55.9583, "loss": 0.90494, "time": 0.41904} -{"mode": "train", "epoch": 13, "iter": 15500, "lr": 5e-05, "memory": 12989, "data_time": 0.00634, "decode.loss_seg": 0.59416, "decode.acc_seg": 61.4304, "aux.loss_seg": 0.3516, "aux.acc_seg": 55.29383, "loss": 0.94575, "time": 0.41473} -{"mode": "train", "epoch": 13, "iter": 15550, "lr": 5e-05, "memory": 12989, "data_time": 0.00661, "decode.loss_seg": 0.61839, "decode.acc_seg": 63.70026, "aux.loss_seg": 0.36204, "aux.acc_seg": 57.26584, "loss": 0.98044, "time": 0.40983} -{"mode": "train", "epoch": 13, "iter": 15600, "lr": 5e-05, "memory": 12989, "data_time": 0.00619, "decode.loss_seg": 0.55742, "decode.acc_seg": 62.79792, "aux.loss_seg": 0.3389, "aux.acc_seg": 56.17812, "loss": 0.89632, "time": 0.40762} -{"mode": "train", "epoch": 13, "iter": 15650, "lr": 5e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.59523, "decode.acc_seg": 64.37957, "aux.loss_seg": 0.36216, "aux.acc_seg": 57.3618, "loss": 0.95739, "time": 0.40694} -{"mode": "train", "epoch": 13, "iter": 15700, "lr": 5e-05, "memory": 12989, "data_time": 0.00644, "decode.loss_seg": 0.5934, "decode.acc_seg": 61.38522, "aux.loss_seg": 0.34883, "aux.acc_seg": 55.62639, "loss": 0.94223, "time": 0.41349} -{"mode": "train", "epoch": 13, "iter": 15750, "lr": 5e-05, "memory": 12989, "data_time": 0.00647, "decode.loss_seg": 0.60081, "decode.acc_seg": 62.17461, "aux.loss_seg": 0.34496, "aux.acc_seg": 56.71958, "loss": 0.94576, "time": 0.41096} -{"mode": "train", "epoch": 13, "iter": 15800, "lr": 5e-05, "memory": 12989, "data_time": 0.00618, "decode.loss_seg": 0.59757, "decode.acc_seg": 63.53631, "aux.loss_seg": 0.35558, "aux.acc_seg": 57.01391, "loss": 0.95315, "time": 0.40297} -{"mode": "train", "epoch": 13, "iter": 15850, "lr": 5e-05, "memory": 12989, "data_time": 0.00619, "decode.loss_seg": 0.60088, "decode.acc_seg": 61.78766, "aux.loss_seg": 0.35695, "aux.acc_seg": 55.1966, "loss": 0.95783, "time": 0.41015} -{"mode": "train", "epoch": 13, "iter": 15900, "lr": 5e-05, "memory": 12989, "data_time": 0.00599, "decode.loss_seg": 0.5966, "decode.acc_seg": 61.55953, "aux.loss_seg": 0.35266, "aux.acc_seg": 55.42177, "loss": 0.94927, "time": 0.40427} -{"mode": "train", "epoch": 13, "iter": 15950, "lr": 5e-05, "memory": 12989, "data_time": 0.00609, "decode.loss_seg": 0.57987, "decode.acc_seg": 63.14045, "aux.loss_seg": 0.34689, "aux.acc_seg": 56.53905, "loss": 0.92676, "time": 0.40494} -{"mode": "val", "epoch": 13, "iter": 16000, "lr": 5e-05, "mIoU": 0.3971, "mAcc": 0.5315, "aAcc": 0.7861, "IoU.wall": 0.7031, "IoU.building": 0.7926, "IoU.sky": 0.9348, "IoU.floor": 0.7684, "IoU.tree": 0.7118, "IoU.ceiling": 0.7974, "IoU.road": 0.7814, "IoU.bed ": 0.8008, "IoU.windowpane": 0.5463, "IoU.grass": 0.661, "IoU.cabinet": 0.5257, "IoU.sidewalk": 0.5643, "IoU.person": 0.7371, "IoU.earth": 0.3498, "IoU.door": 0.2779, "IoU.table": 0.4413, "IoU.mountain": 0.5762, "IoU.plant": 0.4656, "IoU.curtain": 0.5822, "IoU.chair": 0.4372, "IoU.car": 0.8027, "IoU.water": 0.5398, "IoU.painting": 0.6139, "IoU.sofa": 0.4615, "IoU.shelf": 0.3496, "IoU.house": 0.5126, "IoU.sea": 0.653, "IoU.mirror": 0.4673, "IoU.rug": 0.6058, "IoU.field": 0.3148, "IoU.armchair": 0.2837, "IoU.seat": 0.5766, "IoU.fence": 0.4194, "IoU.desk": 0.3494, "IoU.rock": 0.4039, "IoU.wardrobe": 0.4391, "IoU.lamp": 0.4571, "IoU.bathtub": 0.6623, "IoU.railing": 0.2977, "IoU.cushion": 0.3732, "IoU.base": 0.1876, "IoU.box": 0.1927, "IoU.column": 0.3535, "IoU.signboard": 0.312, "IoU.chest of drawers": 0.2956, "IoU.counter": 0.3477, "IoU.sand": 0.3615, "IoU.sink": 0.5146, "IoU.skyscraper": 0.5048, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5468, "IoU.grandstand": 0.3716, "IoU.path": 0.2146, "IoU.stairs": 0.3041, "IoU.runway": 0.6889, "IoU.case": 0.4976, "IoU.pool table": 0.8426, "IoU.pillow": 0.4602, "IoU.screen door": 0.4068, "IoU.stairway": 0.3355, "IoU.river": 0.2067, "IoU.bridge": 0.5091, "IoU.bookcase": 0.3193, "IoU.blind": NaN, "IoU.coffee table": 0.4283, "IoU.toilet": 0.6677, "IoU.flower": 0.3115, "IoU.book": 0.4162, "IoU.hill": 0.0976, "IoU.bench": 0.3306, "IoU.countertop": 0.4914, "IoU.stove": 0.5173, "IoU.palm": 0.3855, "IoU.kitchen island": 0.1907, "IoU.computer": 0.5006, "IoU.swivel chair": 0.3526, "IoU.boat": 0.462, "IoU.bar": 0.3093, "IoU.arcade machine": 0.5941, "IoU.hovel": 0.4622, "IoU.bus": 0.7449, "IoU.towel": 0.5036, "IoU.light": 0.404, "IoU.truck": 0.1018, "IoU.tower": 0.2907, "IoU.chandelier": 0.5435, "IoU.awning": 0.1905, "IoU.streetlight": 0.1154, "IoU.booth": 0.4932, "IoU.television receiver": NaN, "IoU.airplane": 0.4911, "IoU.dirt track": 0.0071, "IoU.apparel": 0.2565, "IoU.pole": 0.1067, "IoU.land": 0.0001, "IoU.bannister": 0.0079, "IoU.escalator": 0.3241, "IoU.ottoman": 0.1992, "IoU.bottle": NaN, "IoU.buffet": 0.3535, "IoU.poster": 0.0669, "IoU.stage": 0.0973, "IoU.van": 0.3624, "IoU.ship": 0.7795, "IoU.fountain": 0.2601, "IoU.conveyer belt": 0.5288, "IoU.canopy": 0.166, "IoU.washer": 0.6584, "IoU.plaything": 0.1723, "IoU.swimming pool": 0.4636, "IoU.stool": 0.0985, "IoU.barrel": 0.4335, "IoU.basket": 0.2251, "IoU.waterfall": 0.5964, "IoU.tent": 0.7841, "IoU.bag": 0.0408, "IoU.minibike": 0.6335, "IoU.cradle": NaN, "IoU.oven": 0.0386, "IoU.ball": 0.4232, "IoU.food": 0.5367, "IoU.step": 0.0381, "IoU.tank": 0.4436, "IoU.trade name": 0.1889, "IoU.microwave": 0.7048, "IoU.pot": 0.4121, "IoU.animal": NaN, "IoU.bicycle": 0.4424, "IoU.lake": 0.0, "IoU.dishwasher": 0.2888, "IoU.screen": 0.5569, "IoU.blanket": 0.0028, "IoU.sculpture": 0.3756, "IoU.hood": 0.3203, "IoU.sconce": 0.1543, "IoU.vase": 0.1945, "IoU.traffic light": 0.1255, "IoU.tray": 0.004, "IoU.ashcan": 0.1964, "IoU.fan": 0.3295, "IoU.pier": 0.5849, "IoU.crt screen": 0.0151, "IoU.plate": 0.428, "IoU.monitor": 0.421, "IoU.bulletin board": 0.3037, "IoU.shower": 0.0, "IoU.radiator": 0.4336, "IoU.glass": 0.0314, "IoU.clock": 0.1179, "IoU.flag": 0.243, "Acc.wall": 0.8223, "Acc.building": 0.8961, "Acc.sky": 0.9692, "Acc.floor": 0.8678, "Acc.tree": 0.873, "Acc.ceiling": 0.8782, "Acc.road": 0.8577, "Acc.bed ": 0.9109, "Acc.windowpane": 0.7803, "Acc.grass": 0.7933, "Acc.cabinet": 0.7172, "Acc.sidewalk": 0.7022, "Acc.person": 0.8814, "Acc.earth": 0.4943, "Acc.door": 0.347, "Acc.table": 0.6309, "Acc.mountain": 0.71, "Acc.plant": 0.5666, "Acc.curtain": 0.8562, "Acc.chair": 0.6419, "Acc.car": 0.886, "Acc.water": 0.7111, "Acc.painting": 0.8241, "Acc.sofa": 0.5577, "Acc.shelf": 0.5903, "Acc.house": 0.7131, "Acc.sea": 0.8481, "Acc.mirror": 0.6843, "Acc.rug": 0.7234, "Acc.field": 0.5751, "Acc.armchair": 0.5084, "Acc.seat": 0.7172, "Acc.fence": 0.6247, "Acc.desk": 0.4929, "Acc.rock": 0.6316, "Acc.wardrobe": 0.6297, "Acc.lamp": 0.6283, "Acc.bathtub": 0.765, "Acc.railing": 0.3547, "Acc.cushion": 0.4761, "Acc.base": 0.2337, "Acc.box": 0.3014, "Acc.column": 0.4621, "Acc.signboard": 0.4311, "Acc.chest of drawers": 0.3806, "Acc.counter": 0.5126, "Acc.sand": 0.4967, "Acc.sink": 0.5884, "Acc.skyscraper": 0.7031, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7445, "Acc.grandstand": 0.6282, "Acc.path": 0.3423, "Acc.stairs": 0.351, "Acc.runway": 0.9493, "Acc.case": 0.7055, "Acc.pool table": 0.961, "Acc.pillow": 0.6633, "Acc.screen door": 0.8515, "Acc.stairway": 0.4724, "Acc.river": 0.3088, "Acc.bridge": 0.8287, "Acc.bookcase": 0.4293, "Acc.blind": NaN, "Acc.coffee table": 0.7323, "Acc.toilet": 0.8541, "Acc.flower": 0.4573, "Acc.book": 0.6485, "Acc.hill": 0.1449, "Acc.bench": 0.448, "Acc.countertop": 0.7066, "Acc.stove": 0.8423, "Acc.palm": 0.603, "Acc.kitchen island": 0.5139, "Acc.computer": 0.6571, "Acc.swivel chair": 0.5532, "Acc.boat": 0.7436, "Acc.bar": 0.3547, "Acc.arcade machine": 0.8106, "Acc.hovel": 0.5687, "Acc.bus": 0.9555, "Acc.towel": 0.6283, "Acc.light": 0.451, "Acc.truck": 0.159, "Acc.tower": 0.4509, "Acc.chandelier": 0.7872, "Acc.awning": 0.2157, "Acc.streetlight": 0.1368, "Acc.booth": 0.6437, "Acc.television receiver": NaN, "Acc.airplane": 0.5887, "Acc.dirt track": 0.0111, "Acc.apparel": 0.4875, "Acc.pole": 0.1461, "Acc.land": 0.0001, "Acc.bannister": 0.0105, "Acc.escalator": 0.4438, "Acc.ottoman": 0.2516, "Acc.bottle": NaN, "Acc.buffet": 0.3956, "Acc.poster": 0.0744, "Acc.stage": 0.1686, "Acc.van": 0.4253, "Acc.ship": 0.9659, "Acc.fountain": 0.2805, "Acc.conveyer belt": 0.867, "Acc.canopy": 0.2161, "Acc.washer": 0.7149, "Acc.plaything": 0.3258, "Acc.swimming pool": 0.8987, "Acc.stool": 0.1241, "Acc.barrel": 0.6421, "Acc.basket": 0.3439, "Acc.waterfall": 0.9419, "Acc.tent": 0.9931, "Acc.bag": 0.0411, "Acc.minibike": 0.8532, "Acc.cradle": NaN, "Acc.oven": 0.0422, "Acc.ball": 0.4988, "Acc.food": 0.6414, "Acc.step": 0.0401, "Acc.tank": 0.6024, "Acc.trade name": 0.203, "Acc.microwave": 0.8275, "Acc.pot": 0.4607, "Acc.animal": NaN, "Acc.bicycle": 0.6357, "Acc.lake": 0.0, "Acc.dishwasher": 0.3324, "Acc.screen": 0.8059, "Acc.blanket": 0.0029, "Acc.sculpture": 0.4475, "Acc.hood": 0.4206, "Acc.sconce": 0.1722, "Acc.vase": 0.3255, "Acc.traffic light": 0.1864, "Acc.tray": 0.0045, "Acc.ashcan": 0.2678, "Acc.fan": 0.3968, "Acc.pier": 0.7948, "Acc.crt screen": 0.0167, "Acc.plate": 0.7001, "Acc.monitor": 0.7065, "Acc.bulletin board": 0.3603, "Acc.shower": 0.0, "Acc.radiator": 0.4532, "Acc.glass": 0.0327, "Acc.clock": 0.1285, "Acc.flag": 0.2711} -{"mode": "train", "epoch": 13, "iter": 16050, "lr": 5e-05, "memory": 17837, "data_time": 3.75507, "decode.loss_seg": 0.58355, "decode.acc_seg": 63.65327, "aux.loss_seg": 0.35121, "aux.acc_seg": 57.03354, "loss": 0.93476, "time": 4.15769} -{"mode": "train", "epoch": 13, "iter": 16100, "lr": 5e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.60696, "decode.acc_seg": 63.40186, "aux.loss_seg": 0.36069, "aux.acc_seg": 56.77019, "loss": 0.96765, "time": 0.40338} -{"mode": "train", "epoch": 13, "iter": 16150, "lr": 5e-05, "memory": 17837, "data_time": 0.00549, "decode.loss_seg": 0.58118, "decode.acc_seg": 63.38066, "aux.loss_seg": 0.34889, "aux.acc_seg": 56.95051, "loss": 0.93007, "time": 0.40685} -{"mode": "train", "epoch": 13, "iter": 16200, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.59066, "decode.acc_seg": 63.13944, "aux.loss_seg": 0.35937, "aux.acc_seg": 56.79063, "loss": 0.95003, "time": 0.4009} -{"mode": "train", "epoch": 13, "iter": 16250, "lr": 5e-05, "memory": 17837, "data_time": 0.00556, "decode.loss_seg": 0.59293, "decode.acc_seg": 62.7592, "aux.loss_seg": 0.34797, "aux.acc_seg": 56.39733, "loss": 0.9409, "time": 0.40075} -{"mode": "train", "epoch": 13, "iter": 16300, "lr": 5e-05, "memory": 17837, "data_time": 0.00557, "decode.loss_seg": 0.59789, "decode.acc_seg": 62.74666, "aux.loss_seg": 0.35141, "aux.acc_seg": 56.36367, "loss": 0.9493, "time": 0.40278} -{"mode": "train", "epoch": 13, "iter": 16350, "lr": 5e-05, "memory": 17837, "data_time": 0.00563, "decode.loss_seg": 0.57631, "decode.acc_seg": 62.29044, "aux.loss_seg": 0.3439, "aux.acc_seg": 55.95459, "loss": 0.92021, "time": 0.40551} -{"mode": "train", "epoch": 13, "iter": 16400, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.58543, "decode.acc_seg": 64.36363, "aux.loss_seg": 0.34331, "aux.acc_seg": 58.43342, "loss": 0.92874, "time": 0.40193} -{"mode": "train", "epoch": 14, "iter": 16450, "lr": 5e-05, "memory": 17837, "data_time": 0.25003, "decode.loss_seg": 0.57205, "decode.acc_seg": 63.999, "aux.loss_seg": 0.33496, "aux.acc_seg": 57.9348, "loss": 0.90701, "time": 0.64524} -{"mode": "train", "epoch": 14, "iter": 16500, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.57676, "decode.acc_seg": 63.72324, "aux.loss_seg": 0.3494, "aux.acc_seg": 57.38058, "loss": 0.92617, "time": 0.40621} -{"mode": "train", "epoch": 14, "iter": 16550, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.5842, "decode.acc_seg": 64.04188, "aux.loss_seg": 0.354, "aux.acc_seg": 57.87306, "loss": 0.93819, "time": 0.40875} -{"mode": "train", "epoch": 14, "iter": 16600, "lr": 5e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.57999, "decode.acc_seg": 61.80953, "aux.loss_seg": 0.34882, "aux.acc_seg": 55.2902, "loss": 0.92881, "time": 0.40406} -{"mode": "train", "epoch": 14, "iter": 16650, "lr": 5e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.54898, "decode.acc_seg": 64.02165, "aux.loss_seg": 0.34703, "aux.acc_seg": 56.85059, "loss": 0.89601, "time": 0.40336} -{"mode": "train", "epoch": 14, "iter": 16700, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.56729, "decode.acc_seg": 63.47633, "aux.loss_seg": 0.3545, "aux.acc_seg": 56.16108, "loss": 0.92178, "time": 0.40174} -{"mode": "train", "epoch": 14, "iter": 16750, "lr": 5e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.56765, "decode.acc_seg": 63.43167, "aux.loss_seg": 0.34161, "aux.acc_seg": 57.1045, "loss": 0.90926, "time": 0.40514} -{"mode": "train", "epoch": 14, "iter": 16800, "lr": 5e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.54411, "decode.acc_seg": 62.958, "aux.loss_seg": 0.32733, "aux.acc_seg": 56.83058, "loss": 0.87144, "time": 0.40335} -{"mode": "train", "epoch": 14, "iter": 16850, "lr": 5e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.55755, "decode.acc_seg": 63.44255, "aux.loss_seg": 0.33743, "aux.acc_seg": 57.37464, "loss": 0.89498, "time": 0.40239} -{"mode": "train", "epoch": 14, "iter": 16900, "lr": 5e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.57825, "decode.acc_seg": 62.92309, "aux.loss_seg": 0.34634, "aux.acc_seg": 56.58395, "loss": 0.92459, "time": 0.40018} -{"mode": "train", "epoch": 14, "iter": 16950, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.57811, "decode.acc_seg": 63.1562, "aux.loss_seg": 0.35182, "aux.acc_seg": 56.60546, "loss": 0.92993, "time": 0.40044} -{"mode": "train", "epoch": 14, "iter": 17000, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.57037, "decode.acc_seg": 64.30932, "aux.loss_seg": 0.34045, "aux.acc_seg": 58.04533, "loss": 0.91082, "time": 0.39618} -{"mode": "train", "epoch": 14, "iter": 17050, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.5799, "decode.acc_seg": 64.0783, "aux.loss_seg": 0.3522, "aux.acc_seg": 57.0041, "loss": 0.93211, "time": 0.39936} -{"mode": "train", "epoch": 14, "iter": 17100, "lr": 5e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.58629, "decode.acc_seg": 61.73354, "aux.loss_seg": 0.34981, "aux.acc_seg": 55.43423, "loss": 0.93609, "time": 0.39849} -{"mode": "train", "epoch": 14, "iter": 17150, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.59869, "decode.acc_seg": 63.38177, "aux.loss_seg": 0.34648, "aux.acc_seg": 57.33887, "loss": 0.94517, "time": 0.41177} -{"mode": "train", "epoch": 14, "iter": 17200, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.61585, "decode.acc_seg": 62.28768, "aux.loss_seg": 0.35792, "aux.acc_seg": 55.8098, "loss": 0.97376, "time": 0.40172} -{"mode": "train", "epoch": 14, "iter": 17250, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.57245, "decode.acc_seg": 62.56173, "aux.loss_seg": 0.34423, "aux.acc_seg": 56.36026, "loss": 0.91668, "time": 0.40825} -{"mode": "train", "epoch": 14, "iter": 17300, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.59694, "decode.acc_seg": 63.05044, "aux.loss_seg": 0.35777, "aux.acc_seg": 56.54043, "loss": 0.95471, "time": 0.4064} -{"mode": "train", "epoch": 14, "iter": 17350, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.55856, "decode.acc_seg": 63.87541, "aux.loss_seg": 0.33412, "aux.acc_seg": 57.78254, "loss": 0.89268, "time": 0.40294} -{"mode": "train", "epoch": 14, "iter": 17400, "lr": 5e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.55778, "decode.acc_seg": 64.04912, "aux.loss_seg": 0.33907, "aux.acc_seg": 57.51149, "loss": 0.89685, "time": 0.41487} -{"mode": "train", "epoch": 14, "iter": 17450, "lr": 5e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.55301, "decode.acc_seg": 64.09262, "aux.loss_seg": 0.33001, "aux.acc_seg": 57.69325, "loss": 0.88302, "time": 0.40176} -{"mode": "train", "epoch": 14, "iter": 17500, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.59687, "decode.acc_seg": 62.57223, "aux.loss_seg": 0.3584, "aux.acc_seg": 56.00118, "loss": 0.95527, "time": 0.4025} -{"mode": "train", "epoch": 14, "iter": 17550, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.55057, "decode.acc_seg": 61.96813, "aux.loss_seg": 0.33574, "aux.acc_seg": 55.34244, "loss": 0.88631, "time": 0.40071} -{"mode": "train", "epoch": 14, "iter": 17600, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.57274, "decode.acc_seg": 63.48699, "aux.loss_seg": 0.33631, "aux.acc_seg": 57.6676, "loss": 0.90905, "time": 0.40148} -{"mode": "train", "epoch": 14, "iter": 17650, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.554, "decode.acc_seg": 63.45472, "aux.loss_seg": 0.32946, "aux.acc_seg": 57.14118, "loss": 0.88346, "time": 0.40359} -{"mode": "train", "epoch": 15, "iter": 17700, "lr": 5e-05, "memory": 17837, "data_time": 0.2489, "decode.loss_seg": 0.57024, "decode.acc_seg": 64.48946, "aux.loss_seg": 0.34259, "aux.acc_seg": 58.81645, "loss": 0.91283, "time": 0.6424} -{"mode": "train", "epoch": 15, "iter": 17750, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.59361, "decode.acc_seg": 61.52275, "aux.loss_seg": 0.35519, "aux.acc_seg": 54.98913, "loss": 0.9488, "time": 0.40105} -{"mode": "train", "epoch": 15, "iter": 17800, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.58083, "decode.acc_seg": 62.42855, "aux.loss_seg": 0.3407, "aux.acc_seg": 56.65667, "loss": 0.92153, "time": 0.4091} -{"mode": "train", "epoch": 15, "iter": 17850, "lr": 5e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.56698, "decode.acc_seg": 64.11894, "aux.loss_seg": 0.33828, "aux.acc_seg": 57.45161, "loss": 0.90526, "time": 0.40639} -{"mode": "train", "epoch": 15, "iter": 17900, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.5589, "decode.acc_seg": 63.7866, "aux.loss_seg": 0.33264, "aux.acc_seg": 57.57795, "loss": 0.89154, "time": 0.40549} -{"mode": "train", "epoch": 15, "iter": 17950, "lr": 5e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.54837, "decode.acc_seg": 63.54913, "aux.loss_seg": 0.35114, "aux.acc_seg": 55.9514, "loss": 0.89951, "time": 0.41512} -{"mode": "train", "epoch": 15, "iter": 18000, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.5279, "decode.acc_seg": 65.22093, "aux.loss_seg": 0.33343, "aux.acc_seg": 58.59539, "loss": 0.86133, "time": 0.40057} -{"mode": "train", "epoch": 15, "iter": 18050, "lr": 5e-05, "memory": 17837, "data_time": 0.00687, "decode.loss_seg": 0.56692, "decode.acc_seg": 63.64889, "aux.loss_seg": 0.34288, "aux.acc_seg": 57.15152, "loss": 0.9098, "time": 0.40175} -{"mode": "train", "epoch": 15, "iter": 18100, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.5666, "decode.acc_seg": 65.04972, "aux.loss_seg": 0.34374, "aux.acc_seg": 58.51543, "loss": 0.91034, "time": 0.40818} -{"mode": "train", "epoch": 15, "iter": 18150, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.55813, "decode.acc_seg": 64.6878, "aux.loss_seg": 0.33433, "aux.acc_seg": 58.21515, "loss": 0.89247, "time": 0.40367} -{"mode": "train", "epoch": 15, "iter": 18200, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.53515, "decode.acc_seg": 63.74826, "aux.loss_seg": 0.33071, "aux.acc_seg": 56.78423, "loss": 0.86586, "time": 0.41121} -{"mode": "train", "epoch": 15, "iter": 18250, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.57884, "decode.acc_seg": 63.22744, "aux.loss_seg": 0.34208, "aux.acc_seg": 57.22341, "loss": 0.92091, "time": 0.40839} -{"mode": "train", "epoch": 15, "iter": 18300, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.55976, "decode.acc_seg": 63.03174, "aux.loss_seg": 0.33813, "aux.acc_seg": 56.5748, "loss": 0.89789, "time": 0.40402} -{"mode": "train", "epoch": 15, "iter": 18350, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.57807, "decode.acc_seg": 63.75275, "aux.loss_seg": 0.35094, "aux.acc_seg": 57.33454, "loss": 0.92902, "time": 0.40548} -{"mode": "train", "epoch": 15, "iter": 18400, "lr": 5e-05, "memory": 17837, "data_time": 0.00666, "decode.loss_seg": 0.5404, "decode.acc_seg": 63.18533, "aux.loss_seg": 0.32555, "aux.acc_seg": 57.11327, "loss": 0.86595, "time": 0.42078} -{"mode": "train", "epoch": 15, "iter": 18450, "lr": 5e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.55837, "decode.acc_seg": 62.41596, "aux.loss_seg": 0.33885, "aux.acc_seg": 55.4193, "loss": 0.89722, "time": 0.40095} -{"mode": "train", "epoch": 15, "iter": 18500, "lr": 5e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.55165, "decode.acc_seg": 63.07564, "aux.loss_seg": 0.34159, "aux.acc_seg": 56.32698, "loss": 0.89324, "time": 0.40386} -{"mode": "train", "epoch": 15, "iter": 18550, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.57603, "decode.acc_seg": 64.56394, "aux.loss_seg": 0.34916, "aux.acc_seg": 57.90973, "loss": 0.92519, "time": 0.40715} -{"mode": "train", "epoch": 15, "iter": 18600, "lr": 5e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.54036, "decode.acc_seg": 63.01776, "aux.loss_seg": 0.32157, "aux.acc_seg": 57.13629, "loss": 0.86193, "time": 0.40783} -{"mode": "train", "epoch": 15, "iter": 18650, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.56089, "decode.acc_seg": 64.20345, "aux.loss_seg": 0.346, "aux.acc_seg": 57.5664, "loss": 0.90689, "time": 0.41003} -{"mode": "train", "epoch": 15, "iter": 18700, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.59133, "decode.acc_seg": 63.11404, "aux.loss_seg": 0.34714, "aux.acc_seg": 56.87556, "loss": 0.93846, "time": 0.40781} -{"mode": "train", "epoch": 15, "iter": 18750, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.57597, "decode.acc_seg": 64.06939, "aux.loss_seg": 0.33865, "aux.acc_seg": 57.88054, "loss": 0.91461, "time": 0.40104} -{"mode": "train", "epoch": 15, "iter": 18800, "lr": 5e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.56066, "decode.acc_seg": 63.78282, "aux.loss_seg": 0.32445, "aux.acc_seg": 58.26757, "loss": 0.88511, "time": 0.40078} -{"mode": "train", "epoch": 15, "iter": 18850, "lr": 5e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.56182, "decode.acc_seg": 64.43823, "aux.loss_seg": 0.33657, "aux.acc_seg": 58.28156, "loss": 0.89839, "time": 0.405} -{"mode": "train", "epoch": 15, "iter": 18900, "lr": 5e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.57117, "decode.acc_seg": 63.6093, "aux.loss_seg": 0.33729, "aux.acc_seg": 57.53459, "loss": 0.90846, "time": 0.41177} -{"mode": "train", "epoch": 16, "iter": 18950, "lr": 5e-05, "memory": 17837, "data_time": 0.24891, "decode.loss_seg": 0.52411, "decode.acc_seg": 64.42517, "aux.loss_seg": 0.32001, "aux.acc_seg": 57.84881, "loss": 0.84411, "time": 0.64614} -{"mode": "train", "epoch": 16, "iter": 19000, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.55758, "decode.acc_seg": 64.06719, "aux.loss_seg": 0.34421, "aux.acc_seg": 56.88781, "loss": 0.9018, "time": 0.40133} -{"mode": "train", "epoch": 16, "iter": 19050, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.51614, "decode.acc_seg": 64.16656, "aux.loss_seg": 0.32398, "aux.acc_seg": 57.80835, "loss": 0.84013, "time": 0.40239} -{"mode": "train", "epoch": 16, "iter": 19100, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.54054, "decode.acc_seg": 65.07244, "aux.loss_seg": 0.33357, "aux.acc_seg": 59.06558, "loss": 0.87411, "time": 0.40523} -{"mode": "train", "epoch": 16, "iter": 19150, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.55185, "decode.acc_seg": 63.41286, "aux.loss_seg": 0.33345, "aux.acc_seg": 56.86158, "loss": 0.8853, "time": 0.40853} -{"mode": "train", "epoch": 16, "iter": 19200, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.53516, "decode.acc_seg": 64.14013, "aux.loss_seg": 0.33253, "aux.acc_seg": 57.00955, "loss": 0.86769, "time": 0.40356} -{"mode": "train", "epoch": 16, "iter": 19250, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.57006, "decode.acc_seg": 65.33881, "aux.loss_seg": 0.33891, "aux.acc_seg": 58.83512, "loss": 0.90898, "time": 0.39976} -{"mode": "train", "epoch": 16, "iter": 19300, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.5784, "decode.acc_seg": 63.69992, "aux.loss_seg": 0.3485, "aux.acc_seg": 57.05065, "loss": 0.9269, "time": 0.40254} -{"mode": "train", "epoch": 16, "iter": 19350, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.54096, "decode.acc_seg": 63.84531, "aux.loss_seg": 0.33685, "aux.acc_seg": 56.88184, "loss": 0.87781, "time": 0.41371} -{"mode": "train", "epoch": 16, "iter": 19400, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.56065, "decode.acc_seg": 65.03539, "aux.loss_seg": 0.33076, "aux.acc_seg": 58.93246, "loss": 0.8914, "time": 0.40517} -{"mode": "train", "epoch": 16, "iter": 19450, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.58421, "decode.acc_seg": 64.26383, "aux.loss_seg": 0.34951, "aux.acc_seg": 57.99302, "loss": 0.93372, "time": 0.40429} -{"mode": "train", "epoch": 16, "iter": 19500, "lr": 5e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.53289, "decode.acc_seg": 64.81623, "aux.loss_seg": 0.33668, "aux.acc_seg": 57.55236, "loss": 0.86957, "time": 0.40109} -{"mode": "train", "epoch": 16, "iter": 19550, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.55122, "decode.acc_seg": 63.45435, "aux.loss_seg": 0.33625, "aux.acc_seg": 56.69178, "loss": 0.88747, "time": 0.40249} -{"mode": "train", "epoch": 16, "iter": 19600, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.53424, "decode.acc_seg": 63.38623, "aux.loss_seg": 0.32302, "aux.acc_seg": 57.24656, "loss": 0.85726, "time": 0.4153} -{"mode": "train", "epoch": 16, "iter": 19650, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.54283, "decode.acc_seg": 64.20763, "aux.loss_seg": 0.3379, "aux.acc_seg": 57.30134, "loss": 0.88073, "time": 0.40376} -{"mode": "train", "epoch": 16, "iter": 19700, "lr": 5e-05, "memory": 17837, "data_time": 0.00698, "decode.loss_seg": 0.53398, "decode.acc_seg": 64.24726, "aux.loss_seg": 0.31388, "aux.acc_seg": 58.50781, "loss": 0.84786, "time": 0.402} -{"mode": "train", "epoch": 16, "iter": 19750, "lr": 5e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.53532, "decode.acc_seg": 64.18293, "aux.loss_seg": 0.32597, "aux.acc_seg": 57.57588, "loss": 0.8613, "time": 0.40011} -{"mode": "train", "epoch": 16, "iter": 19800, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.55018, "decode.acc_seg": 63.91841, "aux.loss_seg": 0.33549, "aux.acc_seg": 57.7187, "loss": 0.88567, "time": 0.40381} -{"mode": "train", "epoch": 16, "iter": 19850, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.54471, "decode.acc_seg": 64.28534, "aux.loss_seg": 0.3326, "aux.acc_seg": 57.51727, "loss": 0.87732, "time": 0.41603} -{"mode": "train", "epoch": 16, "iter": 19900, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.58979, "decode.acc_seg": 62.78704, "aux.loss_seg": 0.35514, "aux.acc_seg": 55.85987, "loss": 0.94493, "time": 0.40219} -{"mode": "train", "epoch": 16, "iter": 19950, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.54023, "decode.acc_seg": 63.72577, "aux.loss_seg": 0.32993, "aux.acc_seg": 57.29466, "loss": 0.87016, "time": 0.40173} -{"mode": "train", "epoch": 16, "iter": 20000, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.55053, "decode.acc_seg": 64.27905, "aux.loss_seg": 0.32816, "aux.acc_seg": 57.89544, "loss": 0.87869, "time": 0.39588} -{"mode": "train", "epoch": 16, "iter": 20050, "lr": 5e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.5265, "decode.acc_seg": 65.44623, "aux.loss_seg": 0.32, "aux.acc_seg": 59.09795, "loss": 0.8465, "time": 0.3989} -{"mode": "train", "epoch": 16, "iter": 20100, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.55775, "decode.acc_seg": 64.34452, "aux.loss_seg": 0.34112, "aux.acc_seg": 57.74411, "loss": 0.89887, "time": 0.40167} -{"mode": "train", "epoch": 16, "iter": 20150, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.55338, "decode.acc_seg": 65.54928, "aux.loss_seg": 0.33441, "aux.acc_seg": 58.8209, "loss": 0.88779, "time": 0.40011} -{"mode": "train", "epoch": 16, "iter": 20200, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.533, "decode.acc_seg": 64.4007, "aux.loss_seg": 0.31696, "aux.acc_seg": 58.6186, "loss": 0.84995, "time": 0.40379} -{"mode": "train", "epoch": 17, "iter": 20250, "lr": 5e-05, "memory": 17837, "data_time": 0.2499, "decode.loss_seg": 0.56466, "decode.acc_seg": 63.85729, "aux.loss_seg": 0.33719, "aux.acc_seg": 58.0022, "loss": 0.90185, "time": 0.64824} -{"mode": "train", "epoch": 17, "iter": 20300, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.5246, "decode.acc_seg": 64.84615, "aux.loss_seg": 0.32509, "aux.acc_seg": 58.04319, "loss": 0.84969, "time": 0.41285} -{"mode": "train", "epoch": 17, "iter": 20350, "lr": 5e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.55426, "decode.acc_seg": 65.46328, "aux.loss_seg": 0.33827, "aux.acc_seg": 58.72503, "loss": 0.89253, "time": 0.41344} -{"mode": "train", "epoch": 17, "iter": 20400, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.52171, "decode.acc_seg": 65.17468, "aux.loss_seg": 0.31718, "aux.acc_seg": 59.23618, "loss": 0.83889, "time": 0.40429} -{"mode": "train", "epoch": 17, "iter": 20450, "lr": 5e-05, "memory": 17837, "data_time": 0.0067, "decode.loss_seg": 0.50613, "decode.acc_seg": 65.02412, "aux.loss_seg": 0.30981, "aux.acc_seg": 58.49951, "loss": 0.81594, "time": 0.40888} -{"mode": "train", "epoch": 17, "iter": 20500, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.55483, "decode.acc_seg": 62.91653, "aux.loss_seg": 0.32774, "aux.acc_seg": 57.25075, "loss": 0.88257, "time": 0.40773} -{"mode": "train", "epoch": 17, "iter": 20550, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.55508, "decode.acc_seg": 63.30996, "aux.loss_seg": 0.33811, "aux.acc_seg": 56.84267, "loss": 0.89319, "time": 0.40143} -{"mode": "train", "epoch": 17, "iter": 20600, "lr": 5e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.54503, "decode.acc_seg": 64.94904, "aux.loss_seg": 0.3349, "aux.acc_seg": 58.56938, "loss": 0.87993, "time": 0.41001} -{"mode": "train", "epoch": 17, "iter": 20650, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.52428, "decode.acc_seg": 64.69194, "aux.loss_seg": 0.32265, "aux.acc_seg": 58.3242, "loss": 0.84692, "time": 0.40656} -{"mode": "train", "epoch": 17, "iter": 20700, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.51427, "decode.acc_seg": 64.23796, "aux.loss_seg": 0.31591, "aux.acc_seg": 57.39375, "loss": 0.83018, "time": 0.40726} -{"mode": "train", "epoch": 17, "iter": 20750, "lr": 5e-05, "memory": 17837, "data_time": 0.00563, "decode.loss_seg": 0.55341, "decode.acc_seg": 64.21298, "aux.loss_seg": 0.33358, "aux.acc_seg": 57.62137, "loss": 0.88699, "time": 0.39965} -{"mode": "train", "epoch": 17, "iter": 20800, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.51593, "decode.acc_seg": 62.93619, "aux.loss_seg": 0.32401, "aux.acc_seg": 56.45085, "loss": 0.83994, "time": 0.40054} -{"mode": "train", "epoch": 17, "iter": 20850, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.56494, "decode.acc_seg": 63.7471, "aux.loss_seg": 0.3491, "aux.acc_seg": 56.48157, "loss": 0.91404, "time": 0.41967} -{"mode": "train", "epoch": 17, "iter": 20900, "lr": 5e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.53783, "decode.acc_seg": 63.51207, "aux.loss_seg": 0.31677, "aux.acc_seg": 57.52832, "loss": 0.8546, "time": 0.39492} -{"mode": "train", "epoch": 17, "iter": 20950, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.55058, "decode.acc_seg": 64.37608, "aux.loss_seg": 0.33144, "aux.acc_seg": 57.9972, "loss": 0.88202, "time": 0.39499} -{"mode": "train", "epoch": 17, "iter": 21000, "lr": 5e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.53536, "decode.acc_seg": 63.77829, "aux.loss_seg": 0.32394, "aux.acc_seg": 57.40965, "loss": 0.8593, "time": 0.40317} -{"mode": "train", "epoch": 17, "iter": 21050, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.51581, "decode.acc_seg": 62.87158, "aux.loss_seg": 0.31949, "aux.acc_seg": 56.69827, "loss": 0.83529, "time": 0.39697} -{"mode": "train", "epoch": 17, "iter": 21100, "lr": 5e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.55403, "decode.acc_seg": 61.64212, "aux.loss_seg": 0.33357, "aux.acc_seg": 55.6221, "loss": 0.8876, "time": 0.40151} -{"mode": "train", "epoch": 17, "iter": 21150, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.54924, "decode.acc_seg": 63.49455, "aux.loss_seg": 0.3308, "aux.acc_seg": 57.24843, "loss": 0.88003, "time": 0.40245} -{"mode": "train", "epoch": 17, "iter": 21200, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.54253, "decode.acc_seg": 63.87114, "aux.loss_seg": 0.32916, "aux.acc_seg": 57.17415, "loss": 0.87169, "time": 0.40659} -{"mode": "train", "epoch": 17, "iter": 21250, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.5256, "decode.acc_seg": 64.38148, "aux.loss_seg": 0.32231, "aux.acc_seg": 57.69194, "loss": 0.84791, "time": 0.40364} -{"mode": "train", "epoch": 17, "iter": 21300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.52618, "decode.acc_seg": 65.27151, "aux.loss_seg": 0.31569, "aux.acc_seg": 59.16726, "loss": 0.84187, "time": 0.40423} -{"mode": "train", "epoch": 17, "iter": 21350, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.52438, "decode.acc_seg": 64.83816, "aux.loss_seg": 0.32723, "aux.acc_seg": 57.72504, "loss": 0.85161, "time": 0.39778} -{"mode": "train", "epoch": 17, "iter": 21400, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.52583, "decode.acc_seg": 63.518, "aux.loss_seg": 0.31929, "aux.acc_seg": 57.61555, "loss": 0.84512, "time": 0.39887} -{"mode": "train", "epoch": 17, "iter": 21450, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.55854, "decode.acc_seg": 64.28302, "aux.loss_seg": 0.33254, "aux.acc_seg": 58.19225, "loss": 0.89108, "time": 0.40938} -{"mode": "train", "epoch": 18, "iter": 21500, "lr": 5e-05, "memory": 17837, "data_time": 0.24513, "decode.loss_seg": 0.56914, "decode.acc_seg": 62.95119, "aux.loss_seg": 0.34878, "aux.acc_seg": 56.23347, "loss": 0.91792, "time": 0.63705} -{"mode": "train", "epoch": 18, "iter": 21550, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.51546, "decode.acc_seg": 63.77148, "aux.loss_seg": 0.31987, "aux.acc_seg": 57.29169, "loss": 0.83533, "time": 0.40982} -{"mode": "train", "epoch": 18, "iter": 21600, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.51292, "decode.acc_seg": 63.3919, "aux.loss_seg": 0.32376, "aux.acc_seg": 56.12016, "loss": 0.83668, "time": 0.4079} -{"mode": "train", "epoch": 18, "iter": 21650, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.51569, "decode.acc_seg": 65.27716, "aux.loss_seg": 0.32002, "aux.acc_seg": 58.89983, "loss": 0.83571, "time": 0.40339} -{"mode": "train", "epoch": 18, "iter": 21700, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.50343, "decode.acc_seg": 64.51889, "aux.loss_seg": 0.31413, "aux.acc_seg": 57.99207, "loss": 0.81756, "time": 0.40202} -{"mode": "train", "epoch": 18, "iter": 21750, "lr": 5e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.50092, "decode.acc_seg": 64.06049, "aux.loss_seg": 0.30973, "aux.acc_seg": 57.52395, "loss": 0.81064, "time": 0.40728} -{"mode": "train", "epoch": 18, "iter": 21800, "lr": 5e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.50565, "decode.acc_seg": 64.86808, "aux.loss_seg": 0.30537, "aux.acc_seg": 58.59928, "loss": 0.81102, "time": 0.40016} -{"mode": "train", "epoch": 18, "iter": 21850, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.52149, "decode.acc_seg": 64.57751, "aux.loss_seg": 0.33302, "aux.acc_seg": 57.12257, "loss": 0.85451, "time": 0.40189} -{"mode": "train", "epoch": 18, "iter": 21900, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.55379, "decode.acc_seg": 65.41998, "aux.loss_seg": 0.34285, "aux.acc_seg": 58.76167, "loss": 0.89664, "time": 0.39775} -{"mode": "train", "epoch": 18, "iter": 21950, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.5333, "decode.acc_seg": 64.19098, "aux.loss_seg": 0.32049, "aux.acc_seg": 58.38792, "loss": 0.85379, "time": 0.39662} -{"mode": "train", "epoch": 18, "iter": 22000, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.54568, "decode.acc_seg": 64.7172, "aux.loss_seg": 0.33106, "aux.acc_seg": 58.28453, "loss": 0.87675, "time": 0.39609} -{"mode": "train", "epoch": 18, "iter": 22050, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.55081, "decode.acc_seg": 64.61061, "aux.loss_seg": 0.33945, "aux.acc_seg": 57.78372, "loss": 0.89025, "time": 0.39761} -{"mode": "train", "epoch": 18, "iter": 22100, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.51858, "decode.acc_seg": 65.41251, "aux.loss_seg": 0.33175, "aux.acc_seg": 57.69381, "loss": 0.85033, "time": 0.39801} -{"mode": "train", "epoch": 18, "iter": 22150, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.51023, "decode.acc_seg": 65.36136, "aux.loss_seg": 0.32468, "aux.acc_seg": 58.38767, "loss": 0.83491, "time": 0.398} -{"mode": "train", "epoch": 18, "iter": 22200, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.52658, "decode.acc_seg": 64.7903, "aux.loss_seg": 0.32099, "aux.acc_seg": 58.70907, "loss": 0.84757, "time": 0.40393} -{"mode": "train", "epoch": 18, "iter": 22250, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.54738, "decode.acc_seg": 65.28357, "aux.loss_seg": 0.3345, "aux.acc_seg": 58.73894, "loss": 0.88188, "time": 0.39629} -{"mode": "train", "epoch": 18, "iter": 22300, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.53969, "decode.acc_seg": 63.38409, "aux.loss_seg": 0.31697, "aux.acc_seg": 57.60503, "loss": 0.85666, "time": 0.39787} -{"mode": "train", "epoch": 18, "iter": 22350, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.51565, "decode.acc_seg": 64.88839, "aux.loss_seg": 0.32606, "aux.acc_seg": 57.98849, "loss": 0.84171, "time": 0.39605} -{"mode": "train", "epoch": 18, "iter": 22400, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.54091, "decode.acc_seg": 64.12993, "aux.loss_seg": 0.32455, "aux.acc_seg": 57.75187, "loss": 0.86546, "time": 0.4058} -{"mode": "train", "epoch": 18, "iter": 22450, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.5458, "decode.acc_seg": 64.46031, "aux.loss_seg": 0.33265, "aux.acc_seg": 57.8984, "loss": 0.87844, "time": 0.39687} -{"mode": "train", "epoch": 18, "iter": 22500, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.56607, "decode.acc_seg": 63.45558, "aux.loss_seg": 0.3401, "aux.acc_seg": 57.03038, "loss": 0.90617, "time": 0.40462} -{"mode": "train", "epoch": 18, "iter": 22550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.51163, "decode.acc_seg": 62.54639, "aux.loss_seg": 0.30747, "aux.acc_seg": 56.67523, "loss": 0.8191, "time": 0.40283} -{"mode": "train", "epoch": 18, "iter": 22600, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.51895, "decode.acc_seg": 65.27549, "aux.loss_seg": 0.31937, "aux.acc_seg": 58.79043, "loss": 0.83832, "time": 0.39849} -{"mode": "train", "epoch": 18, "iter": 22650, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.52836, "decode.acc_seg": 65.75712, "aux.loss_seg": 0.3253, "aux.acc_seg": 59.27103, "loss": 0.85366, "time": 0.40552} -{"mode": "train", "epoch": 18, "iter": 22700, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.52702, "decode.acc_seg": 64.88801, "aux.loss_seg": 0.31886, "aux.acc_seg": 58.81491, "loss": 0.84588, "time": 0.39914} -{"mode": "train", "epoch": 19, "iter": 22750, "lr": 5e-05, "memory": 17837, "data_time": 0.24731, "decode.loss_seg": 0.53627, "decode.acc_seg": 64.54403, "aux.loss_seg": 0.33234, "aux.acc_seg": 57.4047, "loss": 0.86861, "time": 0.63631} -{"mode": "train", "epoch": 19, "iter": 22800, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.49918, "decode.acc_seg": 64.17793, "aux.loss_seg": 0.31229, "aux.acc_seg": 57.7227, "loss": 0.81147, "time": 0.39748} -{"mode": "train", "epoch": 19, "iter": 22850, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.50189, "decode.acc_seg": 65.01778, "aux.loss_seg": 0.31896, "aux.acc_seg": 57.96291, "loss": 0.82085, "time": 0.39799} -{"mode": "train", "epoch": 19, "iter": 22900, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.47883, "decode.acc_seg": 64.83226, "aux.loss_seg": 0.30586, "aux.acc_seg": 58.46072, "loss": 0.78469, "time": 0.39996} -{"mode": "train", "epoch": 19, "iter": 22950, "lr": 5e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.49742, "decode.acc_seg": 65.97671, "aux.loss_seg": 0.31061, "aux.acc_seg": 59.76128, "loss": 0.80804, "time": 0.40002} -{"mode": "train", "epoch": 19, "iter": 23000, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.50103, "decode.acc_seg": 64.98621, "aux.loss_seg": 0.30752, "aux.acc_seg": 58.62096, "loss": 0.80854, "time": 0.39918} -{"mode": "train", "epoch": 19, "iter": 23050, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.5363, "decode.acc_seg": 64.06711, "aux.loss_seg": 0.3311, "aux.acc_seg": 57.36347, "loss": 0.8674, "time": 0.40434} -{"mode": "train", "epoch": 19, "iter": 23100, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.4914, "decode.acc_seg": 64.72112, "aux.loss_seg": 0.30117, "aux.acc_seg": 58.58714, "loss": 0.79257, "time": 0.40233} -{"mode": "train", "epoch": 19, "iter": 23150, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.51422, "decode.acc_seg": 65.42332, "aux.loss_seg": 0.32539, "aux.acc_seg": 58.65623, "loss": 0.83961, "time": 0.40194} -{"mode": "train", "epoch": 19, "iter": 23200, "lr": 5e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.52469, "decode.acc_seg": 64.87083, "aux.loss_seg": 0.32227, "aux.acc_seg": 57.94119, "loss": 0.84697, "time": 0.40474} -{"mode": "train", "epoch": 19, "iter": 23250, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.51516, "decode.acc_seg": 65.36944, "aux.loss_seg": 0.32211, "aux.acc_seg": 58.51707, "loss": 0.83727, "time": 0.39578} -{"mode": "train", "epoch": 19, "iter": 23300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.52796, "decode.acc_seg": 65.28391, "aux.loss_seg": 0.32226, "aux.acc_seg": 58.79888, "loss": 0.85021, "time": 0.39529} -{"mode": "train", "epoch": 19, "iter": 23350, "lr": 5e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.51256, "decode.acc_seg": 65.48774, "aux.loss_seg": 0.32571, "aux.acc_seg": 58.40108, "loss": 0.83827, "time": 0.39562} -{"mode": "train", "epoch": 19, "iter": 23400, "lr": 5e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.50961, "decode.acc_seg": 65.77188, "aux.loss_seg": 0.3147, "aux.acc_seg": 59.95374, "loss": 0.82431, "time": 0.39815} -{"mode": "train", "epoch": 19, "iter": 23450, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.51505, "decode.acc_seg": 64.92297, "aux.loss_seg": 0.3153, "aux.acc_seg": 58.5935, "loss": 0.83035, "time": 0.39817} -{"mode": "train", "epoch": 19, "iter": 23500, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.5448, "decode.acc_seg": 63.87554, "aux.loss_seg": 0.33519, "aux.acc_seg": 57.33397, "loss": 0.87998, "time": 0.39437} -{"mode": "train", "epoch": 19, "iter": 23550, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.54281, "decode.acc_seg": 64.53604, "aux.loss_seg": 0.33011, "aux.acc_seg": 58.06358, "loss": 0.87292, "time": 0.39741} -{"mode": "train", "epoch": 19, "iter": 23600, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.51901, "decode.acc_seg": 64.71003, "aux.loss_seg": 0.3132, "aux.acc_seg": 58.66747, "loss": 0.83221, "time": 0.39848} -{"mode": "train", "epoch": 19, "iter": 23650, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.52297, "decode.acc_seg": 63.30999, "aux.loss_seg": 0.31947, "aux.acc_seg": 56.90109, "loss": 0.84244, "time": 0.39602} -{"mode": "train", "epoch": 19, "iter": 23700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.49785, "decode.acc_seg": 65.42515, "aux.loss_seg": 0.30463, "aux.acc_seg": 59.11649, "loss": 0.80248, "time": 0.39729} -{"mode": "train", "epoch": 19, "iter": 23750, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.50313, "decode.acc_seg": 65.4741, "aux.loss_seg": 0.31774, "aux.acc_seg": 58.44762, "loss": 0.82087, "time": 0.39912} -{"mode": "train", "epoch": 19, "iter": 23800, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.50158, "decode.acc_seg": 65.12437, "aux.loss_seg": 0.31098, "aux.acc_seg": 59.13053, "loss": 0.81256, "time": 0.3998} -{"mode": "train", "epoch": 19, "iter": 23850, "lr": 5e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.50618, "decode.acc_seg": 63.43016, "aux.loss_seg": 0.31564, "aux.acc_seg": 56.75173, "loss": 0.82182, "time": 0.39512} -{"mode": "train", "epoch": 19, "iter": 23900, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.52238, "decode.acc_seg": 64.61663, "aux.loss_seg": 0.31809, "aux.acc_seg": 58.31122, "loss": 0.84047, "time": 0.39737} -{"mode": "train", "epoch": 19, "iter": 23950, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.51027, "decode.acc_seg": 65.4301, "aux.loss_seg": 0.31113, "aux.acc_seg": 59.10716, "loss": 0.82141, "time": 0.4013} -{"mode": "train", "epoch": 20, "iter": 24000, "lr": 5e-05, "memory": 17837, "data_time": 0.24774, "decode.loss_seg": 0.51937, "decode.acc_seg": 64.20199, "aux.loss_seg": 0.32106, "aux.acc_seg": 57.97605, "loss": 0.84043, "time": 0.63946} -{"mode": "train", "epoch": 20, "iter": 24050, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.48739, "decode.acc_seg": 66.14333, "aux.loss_seg": 0.30585, "aux.acc_seg": 59.63229, "loss": 0.79325, "time": 0.39476} -{"mode": "train", "epoch": 20, "iter": 24100, "lr": 5e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.47747, "decode.acc_seg": 64.89858, "aux.loss_seg": 0.30924, "aux.acc_seg": 58.13019, "loss": 0.78672, "time": 0.39833} -{"mode": "train", "epoch": 20, "iter": 24150, "lr": 5e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.4823, "decode.acc_seg": 66.2367, "aux.loss_seg": 0.31018, "aux.acc_seg": 58.97691, "loss": 0.79249, "time": 0.39449} -{"mode": "train", "epoch": 20, "iter": 24200, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.49328, "decode.acc_seg": 66.83338, "aux.loss_seg": 0.31041, "aux.acc_seg": 60.33306, "loss": 0.80369, "time": 0.39897} -{"mode": "train", "epoch": 20, "iter": 24250, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.48826, "decode.acc_seg": 65.84681, "aux.loss_seg": 0.30152, "aux.acc_seg": 59.53571, "loss": 0.78978, "time": 0.39838} -{"mode": "train", "epoch": 20, "iter": 24300, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.50583, "decode.acc_seg": 65.08011, "aux.loss_seg": 0.31722, "aux.acc_seg": 58.37038, "loss": 0.82305, "time": 0.39768} -{"mode": "train", "epoch": 20, "iter": 24350, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.48973, "decode.acc_seg": 65.17186, "aux.loss_seg": 0.30864, "aux.acc_seg": 58.58945, "loss": 0.79836, "time": 0.39458} -{"mode": "train", "epoch": 20, "iter": 24400, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.50402, "decode.acc_seg": 64.17249, "aux.loss_seg": 0.31533, "aux.acc_seg": 57.47516, "loss": 0.81935, "time": 0.39811} -{"mode": "train", "epoch": 20, "iter": 24450, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.52141, "decode.acc_seg": 65.95538, "aux.loss_seg": 0.32451, "aux.acc_seg": 59.10854, "loss": 0.84592, "time": 0.3975} -{"mode": "train", "epoch": 20, "iter": 24500, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.51698, "decode.acc_seg": 66.40226, "aux.loss_seg": 0.33263, "aux.acc_seg": 59.4591, "loss": 0.84961, "time": 0.3979} -{"mode": "train", "epoch": 20, "iter": 24550, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.49311, "decode.acc_seg": 65.82629, "aux.loss_seg": 0.29839, "aux.acc_seg": 60.23941, "loss": 0.7915, "time": 0.3987} -{"mode": "train", "epoch": 20, "iter": 24600, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.53267, "decode.acc_seg": 65.1785, "aux.loss_seg": 0.32599, "aux.acc_seg": 58.96633, "loss": 0.85866, "time": 0.39895} -{"mode": "train", "epoch": 20, "iter": 24650, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.49742, "decode.acc_seg": 65.11492, "aux.loss_seg": 0.30942, "aux.acc_seg": 58.82186, "loss": 0.80684, "time": 0.40027} -{"mode": "train", "epoch": 20, "iter": 24700, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.49797, "decode.acc_seg": 64.76408, "aux.loss_seg": 0.2982, "aux.acc_seg": 58.93562, "loss": 0.79616, "time": 0.40088} -{"mode": "train", "epoch": 20, "iter": 24750, "lr": 5e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.49647, "decode.acc_seg": 65.48485, "aux.loss_seg": 0.31026, "aux.acc_seg": 58.67411, "loss": 0.80673, "time": 0.39542} -{"mode": "train", "epoch": 20, "iter": 24800, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.49406, "decode.acc_seg": 65.4793, "aux.loss_seg": 0.30905, "aux.acc_seg": 59.23856, "loss": 0.80311, "time": 0.39626} -{"mode": "train", "epoch": 20, "iter": 24850, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.50627, "decode.acc_seg": 65.14617, "aux.loss_seg": 0.31701, "aux.acc_seg": 57.84141, "loss": 0.82328, "time": 0.39286} -{"mode": "train", "epoch": 20, "iter": 24900, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.52135, "decode.acc_seg": 64.60394, "aux.loss_seg": 0.31898, "aux.acc_seg": 58.89383, "loss": 0.84033, "time": 0.39735} -{"mode": "train", "epoch": 20, "iter": 24950, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.48694, "decode.acc_seg": 66.39006, "aux.loss_seg": 0.29993, "aux.acc_seg": 60.09267, "loss": 0.78687, "time": 0.39359} -{"mode": "train", "epoch": 20, "iter": 25000, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.50011, "decode.acc_seg": 64.69245, "aux.loss_seg": 0.30582, "aux.acc_seg": 58.39576, "loss": 0.80593, "time": 0.39452} -{"mode": "train", "epoch": 20, "iter": 25050, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.49808, "decode.acc_seg": 66.01342, "aux.loss_seg": 0.31089, "aux.acc_seg": 59.72291, "loss": 0.80897, "time": 0.39623} -{"mode": "train", "epoch": 20, "iter": 25100, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.50062, "decode.acc_seg": 64.12913, "aux.loss_seg": 0.31108, "aux.acc_seg": 57.72866, "loss": 0.8117, "time": 0.40698} -{"mode": "train", "epoch": 20, "iter": 25150, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.49742, "decode.acc_seg": 65.53283, "aux.loss_seg": 0.31052, "aux.acc_seg": 58.69346, "loss": 0.80794, "time": 0.40326} -{"mode": "train", "epoch": 20, "iter": 25200, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.52036, "decode.acc_seg": 65.17399, "aux.loss_seg": 0.31604, "aux.acc_seg": 58.77684, "loss": 0.8364, "time": 0.40023} -{"mode": "train", "epoch": 20, "iter": 25250, "lr": 5e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.53919, "decode.acc_seg": 65.68564, "aux.loss_seg": 0.3231, "aux.acc_seg": 59.28386, "loss": 0.86229, "time": 0.39935} -{"mode": "train", "epoch": 21, "iter": 25300, "lr": 5e-05, "memory": 17837, "data_time": 0.24322, "decode.loss_seg": 0.46804, "decode.acc_seg": 66.01045, "aux.loss_seg": 0.29761, "aux.acc_seg": 59.5279, "loss": 0.76565, "time": 0.63028} -{"mode": "train", "epoch": 21, "iter": 25350, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.46105, "decode.acc_seg": 65.7487, "aux.loss_seg": 0.30025, "aux.acc_seg": 58.69167, "loss": 0.7613, "time": 0.39864} -{"mode": "train", "epoch": 21, "iter": 25400, "lr": 5e-05, "memory": 17837, "data_time": 0.00673, "decode.loss_seg": 0.50757, "decode.acc_seg": 66.22145, "aux.loss_seg": 0.31079, "aux.acc_seg": 59.69583, "loss": 0.81836, "time": 0.41163} -{"mode": "train", "epoch": 21, "iter": 25450, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.4936, "decode.acc_seg": 63.77768, "aux.loss_seg": 0.30584, "aux.acc_seg": 57.339, "loss": 0.79944, "time": 0.39983} -{"mode": "train", "epoch": 21, "iter": 25500, "lr": 5e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.47838, "decode.acc_seg": 64.54844, "aux.loss_seg": 0.30684, "aux.acc_seg": 57.47054, "loss": 0.78522, "time": 0.39707} -{"mode": "train", "epoch": 21, "iter": 25550, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.48665, "decode.acc_seg": 65.09562, "aux.loss_seg": 0.30025, "aux.acc_seg": 58.99903, "loss": 0.78689, "time": 0.40289} -{"mode": "train", "epoch": 21, "iter": 25600, "lr": 5e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.50701, "decode.acc_seg": 66.12678, "aux.loss_seg": 0.31844, "aux.acc_seg": 59.25629, "loss": 0.82545, "time": 0.41735} -{"mode": "train", "epoch": 21, "iter": 25650, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.50839, "decode.acc_seg": 65.16374, "aux.loss_seg": 0.32143, "aux.acc_seg": 58.08448, "loss": 0.82982, "time": 0.39571} -{"mode": "train", "epoch": 21, "iter": 25700, "lr": 5e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.47773, "decode.acc_seg": 64.8917, "aux.loss_seg": 0.29809, "aux.acc_seg": 58.69356, "loss": 0.77581, "time": 0.42093} -{"mode": "train", "epoch": 21, "iter": 25750, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.50624, "decode.acc_seg": 65.55801, "aux.loss_seg": 0.3221, "aux.acc_seg": 58.98578, "loss": 0.82835, "time": 0.40919} -{"mode": "train", "epoch": 21, "iter": 25800, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.52429, "decode.acc_seg": 64.84091, "aux.loss_seg": 0.32237, "aux.acc_seg": 58.31675, "loss": 0.84666, "time": 0.40284} -{"mode": "train", "epoch": 21, "iter": 25850, "lr": 5e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.48192, "decode.acc_seg": 65.79666, "aux.loss_seg": 0.30436, "aux.acc_seg": 58.92314, "loss": 0.78627, "time": 0.3948} -{"mode": "train", "epoch": 21, "iter": 25900, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.49463, "decode.acc_seg": 64.69179, "aux.loss_seg": 0.30089, "aux.acc_seg": 58.93345, "loss": 0.79552, "time": 0.39464} -{"mode": "train", "epoch": 21, "iter": 25950, "lr": 5e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.49693, "decode.acc_seg": 64.81627, "aux.loss_seg": 0.31263, "aux.acc_seg": 58.06522, "loss": 0.80956, "time": 0.39248} -{"mode": "train", "epoch": 21, "iter": 26000, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.49535, "decode.acc_seg": 65.63003, "aux.loss_seg": 0.31049, "aux.acc_seg": 58.89585, "loss": 0.80584, "time": 0.395} -{"mode": "train", "epoch": 21, "iter": 26050, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.49508, "decode.acc_seg": 66.3168, "aux.loss_seg": 0.29901, "aux.acc_seg": 59.97446, "loss": 0.79409, "time": 0.39938} -{"mode": "train", "epoch": 21, "iter": 26100, "lr": 5e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.53772, "decode.acc_seg": 65.51076, "aux.loss_seg": 0.33188, "aux.acc_seg": 59.2959, "loss": 0.8696, "time": 0.39644} -{"mode": "train", "epoch": 21, "iter": 26150, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.52203, "decode.acc_seg": 64.75077, "aux.loss_seg": 0.3199, "aux.acc_seg": 58.20538, "loss": 0.84193, "time": 0.41297} -{"mode": "train", "epoch": 21, "iter": 26200, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.51515, "decode.acc_seg": 66.35595, "aux.loss_seg": 0.31541, "aux.acc_seg": 60.03523, "loss": 0.83055, "time": 0.40558} -{"mode": "train", "epoch": 21, "iter": 26250, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.48363, "decode.acc_seg": 66.00855, "aux.loss_seg": 0.29721, "aux.acc_seg": 59.87392, "loss": 0.78084, "time": 0.39607} -{"mode": "train", "epoch": 21, "iter": 26300, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.47784, "decode.acc_seg": 65.15678, "aux.loss_seg": 0.30211, "aux.acc_seg": 58.19496, "loss": 0.77994, "time": 0.39607} -{"mode": "train", "epoch": 21, "iter": 26350, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.52201, "decode.acc_seg": 65.27576, "aux.loss_seg": 0.32392, "aux.acc_seg": 58.5871, "loss": 0.84593, "time": 0.40241} -{"mode": "train", "epoch": 21, "iter": 26400, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.52642, "decode.acc_seg": 64.94812, "aux.loss_seg": 0.31489, "aux.acc_seg": 59.18343, "loss": 0.84131, "time": 0.39637} -{"mode": "train", "epoch": 21, "iter": 26450, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.51051, "decode.acc_seg": 64.11481, "aux.loss_seg": 0.30608, "aux.acc_seg": 57.96409, "loss": 0.81659, "time": 0.39635} -{"mode": "train", "epoch": 21, "iter": 26500, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.511, "decode.acc_seg": 64.39212, "aux.loss_seg": 0.3267, "aux.acc_seg": 57.53614, "loss": 0.8377, "time": 0.39875} -{"mode": "train", "epoch": 22, "iter": 26550, "lr": 5e-05, "memory": 17837, "data_time": 0.24257, "decode.loss_seg": 0.47869, "decode.acc_seg": 65.51005, "aux.loss_seg": 0.3108, "aux.acc_seg": 58.65508, "loss": 0.78949, "time": 0.64539} -{"mode": "train", "epoch": 22, "iter": 26600, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.50048, "decode.acc_seg": 66.51583, "aux.loss_seg": 0.31544, "aux.acc_seg": 59.97751, "loss": 0.81592, "time": 0.40176} -{"mode": "train", "epoch": 22, "iter": 26650, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.50316, "decode.acc_seg": 65.46558, "aux.loss_seg": 0.30616, "aux.acc_seg": 59.46209, "loss": 0.80932, "time": 0.39645} -{"mode": "train", "epoch": 22, "iter": 26700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.50502, "decode.acc_seg": 66.11236, "aux.loss_seg": 0.32399, "aux.acc_seg": 58.70012, "loss": 0.82901, "time": 0.40439} -{"mode": "train", "epoch": 22, "iter": 26750, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.46376, "decode.acc_seg": 66.85196, "aux.loss_seg": 0.29772, "aux.acc_seg": 59.76913, "loss": 0.76148, "time": 0.4041} -{"mode": "train", "epoch": 22, "iter": 26800, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.48787, "decode.acc_seg": 65.37926, "aux.loss_seg": 0.30228, "aux.acc_seg": 59.25726, "loss": 0.79015, "time": 0.40244} -{"mode": "train", "epoch": 22, "iter": 26850, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.49414, "decode.acc_seg": 65.31106, "aux.loss_seg": 0.31079, "aux.acc_seg": 58.65138, "loss": 0.80493, "time": 0.39749} -{"mode": "train", "epoch": 22, "iter": 26900, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.48197, "decode.acc_seg": 66.45416, "aux.loss_seg": 0.30561, "aux.acc_seg": 59.97529, "loss": 0.78758, "time": 0.40074} -{"mode": "train", "epoch": 22, "iter": 26950, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.47779, "decode.acc_seg": 64.41654, "aux.loss_seg": 0.30143, "aux.acc_seg": 58.06313, "loss": 0.77922, "time": 0.40312} -{"mode": "train", "epoch": 22, "iter": 27000, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.49194, "decode.acc_seg": 65.86619, "aux.loss_seg": 0.29994, "aux.acc_seg": 59.91595, "loss": 0.79188, "time": 0.40227} -{"mode": "train", "epoch": 22, "iter": 27050, "lr": 5e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.4836, "decode.acc_seg": 65.06142, "aux.loss_seg": 0.30154, "aux.acc_seg": 58.86287, "loss": 0.78514, "time": 0.41464} -{"mode": "train", "epoch": 22, "iter": 27100, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.51043, "decode.acc_seg": 65.10604, "aux.loss_seg": 0.30944, "aux.acc_seg": 59.57136, "loss": 0.81987, "time": 0.40202} -{"mode": "train", "epoch": 22, "iter": 27150, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.48936, "decode.acc_seg": 64.67864, "aux.loss_seg": 0.30065, "aux.acc_seg": 58.17211, "loss": 0.79, "time": 0.39743} -{"mode": "train", "epoch": 22, "iter": 27200, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.49507, "decode.acc_seg": 65.98376, "aux.loss_seg": 0.30709, "aux.acc_seg": 59.33093, "loss": 0.80216, "time": 0.39621} -{"mode": "train", "epoch": 22, "iter": 27250, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.52709, "decode.acc_seg": 64.43407, "aux.loss_seg": 0.33246, "aux.acc_seg": 57.63029, "loss": 0.85955, "time": 0.39978} -{"mode": "train", "epoch": 22, "iter": 27300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.47862, "decode.acc_seg": 66.78769, "aux.loss_seg": 0.30226, "aux.acc_seg": 60.4675, "loss": 0.78087, "time": 0.39834} -{"mode": "train", "epoch": 22, "iter": 27350, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.47457, "decode.acc_seg": 65.39229, "aux.loss_seg": 0.30478, "aux.acc_seg": 58.65078, "loss": 0.77936, "time": 0.40055} -{"mode": "train", "epoch": 22, "iter": 27400, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.49693, "decode.acc_seg": 64.90764, "aux.loss_seg": 0.3114, "aux.acc_seg": 58.20252, "loss": 0.80833, "time": 0.39866} -{"mode": "train", "epoch": 22, "iter": 27450, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.49539, "decode.acc_seg": 64.58566, "aux.loss_seg": 0.31224, "aux.acc_seg": 57.60887, "loss": 0.80763, "time": 0.39451} -{"mode": "train", "epoch": 22, "iter": 27500, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.49975, "decode.acc_seg": 66.57908, "aux.loss_seg": 0.31871, "aux.acc_seg": 59.68347, "loss": 0.81846, "time": 0.39275} -{"mode": "train", "epoch": 22, "iter": 27550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.50893, "decode.acc_seg": 65.23699, "aux.loss_seg": 0.31215, "aux.acc_seg": 59.03813, "loss": 0.82108, "time": 0.39584} -{"mode": "train", "epoch": 22, "iter": 27600, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.47757, "decode.acc_seg": 66.39313, "aux.loss_seg": 0.29752, "aux.acc_seg": 60.16372, "loss": 0.77509, "time": 0.39787} -{"mode": "train", "epoch": 22, "iter": 27650, "lr": 5e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.48999, "decode.acc_seg": 64.83886, "aux.loss_seg": 0.30389, "aux.acc_seg": 58.19952, "loss": 0.79388, "time": 0.39741} -{"mode": "train", "epoch": 22, "iter": 27700, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.51588, "decode.acc_seg": 65.60354, "aux.loss_seg": 0.31444, "aux.acc_seg": 58.87368, "loss": 0.83032, "time": 0.39679} -{"mode": "train", "epoch": 22, "iter": 27750, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.50815, "decode.acc_seg": 64.60843, "aux.loss_seg": 0.32225, "aux.acc_seg": 57.36581, "loss": 0.83041, "time": 0.39715} -{"mode": "train", "epoch": 23, "iter": 27800, "lr": 5e-05, "memory": 17837, "data_time": 0.24302, "decode.loss_seg": 0.49485, "decode.acc_seg": 65.39904, "aux.loss_seg": 0.31295, "aux.acc_seg": 58.7279, "loss": 0.8078, "time": 0.63063} -{"mode": "train", "epoch": 23, "iter": 27850, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.49327, "decode.acc_seg": 65.94381, "aux.loss_seg": 0.30476, "aux.acc_seg": 59.61563, "loss": 0.79803, "time": 0.39714} -{"mode": "train", "epoch": 23, "iter": 27900, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.51611, "decode.acc_seg": 64.93588, "aux.loss_seg": 0.31889, "aux.acc_seg": 58.78176, "loss": 0.835, "time": 0.39616} -{"mode": "train", "epoch": 23, "iter": 27950, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.47937, "decode.acc_seg": 66.10316, "aux.loss_seg": 0.30033, "aux.acc_seg": 59.96998, "loss": 0.77971, "time": 0.40357} -{"mode": "train", "epoch": 23, "iter": 28000, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.4749, "decode.acc_seg": 65.28485, "aux.loss_seg": 0.30601, "aux.acc_seg": 58.58614, "loss": 0.78091, "time": 0.4052} -{"mode": "train", "epoch": 23, "iter": 28050, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.47937, "decode.acc_seg": 65.35889, "aux.loss_seg": 0.30432, "aux.acc_seg": 58.59821, "loss": 0.78369, "time": 0.4008} -{"mode": "train", "epoch": 23, "iter": 28100, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.49148, "decode.acc_seg": 65.13653, "aux.loss_seg": 0.30489, "aux.acc_seg": 59.07856, "loss": 0.79637, "time": 0.40017} -{"mode": "train", "epoch": 23, "iter": 28150, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.49282, "decode.acc_seg": 66.9668, "aux.loss_seg": 0.3031, "aux.acc_seg": 60.7934, "loss": 0.79592, "time": 0.39776} -{"mode": "train", "epoch": 23, "iter": 28200, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.47625, "decode.acc_seg": 67.33478, "aux.loss_seg": 0.30353, "aux.acc_seg": 60.46621, "loss": 0.77978, "time": 0.39645} -{"mode": "train", "epoch": 23, "iter": 28250, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.50019, "decode.acc_seg": 66.23103, "aux.loss_seg": 0.32169, "aux.acc_seg": 58.9993, "loss": 0.82188, "time": 0.40166} -{"mode": "train", "epoch": 23, "iter": 28300, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.46421, "decode.acc_seg": 65.72895, "aux.loss_seg": 0.29204, "aux.acc_seg": 59.52491, "loss": 0.75625, "time": 0.39857} -{"mode": "train", "epoch": 23, "iter": 28350, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.48158, "decode.acc_seg": 67.06273, "aux.loss_seg": 0.30435, "aux.acc_seg": 60.09952, "loss": 0.78593, "time": 0.40097} -{"mode": "train", "epoch": 23, "iter": 28400, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.48062, "decode.acc_seg": 66.03455, "aux.loss_seg": 0.29461, "aux.acc_seg": 60.40972, "loss": 0.77523, "time": 0.39763} -{"mode": "train", "epoch": 23, "iter": 28450, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.44649, "decode.acc_seg": 65.64637, "aux.loss_seg": 0.28664, "aux.acc_seg": 58.94952, "loss": 0.73313, "time": 0.39435} -{"mode": "train", "epoch": 23, "iter": 28500, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.46956, "decode.acc_seg": 65.95245, "aux.loss_seg": 0.29412, "aux.acc_seg": 59.27566, "loss": 0.76368, "time": 0.3951} -{"mode": "train", "epoch": 23, "iter": 28550, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.48357, "decode.acc_seg": 64.99726, "aux.loss_seg": 0.30616, "aux.acc_seg": 57.99876, "loss": 0.78973, "time": 0.39582} -{"mode": "train", "epoch": 23, "iter": 28600, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.48047, "decode.acc_seg": 65.47464, "aux.loss_seg": 0.29827, "aux.acc_seg": 59.12721, "loss": 0.77873, "time": 0.39621} -{"mode": "train", "epoch": 23, "iter": 28650, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.49248, "decode.acc_seg": 64.24327, "aux.loss_seg": 0.31556, "aux.acc_seg": 57.34417, "loss": 0.80804, "time": 0.39608} -{"mode": "train", "epoch": 23, "iter": 28700, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.47333, "decode.acc_seg": 65.55564, "aux.loss_seg": 0.28937, "aux.acc_seg": 59.7743, "loss": 0.7627, "time": 0.3947} -{"mode": "train", "epoch": 23, "iter": 28750, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.52197, "decode.acc_seg": 65.28116, "aux.loss_seg": 0.32794, "aux.acc_seg": 58.18237, "loss": 0.84992, "time": 0.4038} -{"mode": "train", "epoch": 23, "iter": 28800, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.4766, "decode.acc_seg": 68.04363, "aux.loss_seg": 0.30717, "aux.acc_seg": 61.13059, "loss": 0.78378, "time": 0.39924} -{"mode": "train", "epoch": 23, "iter": 28850, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.48182, "decode.acc_seg": 64.70599, "aux.loss_seg": 0.29899, "aux.acc_seg": 58.58407, "loss": 0.7808, "time": 0.40458} -{"mode": "train", "epoch": 23, "iter": 28900, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.48549, "decode.acc_seg": 65.7746, "aux.loss_seg": 0.29474, "aux.acc_seg": 60.21484, "loss": 0.78022, "time": 0.39997} -{"mode": "train", "epoch": 23, "iter": 28950, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.51023, "decode.acc_seg": 65.25887, "aux.loss_seg": 0.31365, "aux.acc_seg": 58.90166, "loss": 0.82388, "time": 0.39814} -{"mode": "train", "epoch": 23, "iter": 29000, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.49725, "decode.acc_seg": 63.82474, "aux.loss_seg": 0.30943, "aux.acc_seg": 57.23517, "loss": 0.80668, "time": 0.39708} -{"mode": "train", "epoch": 23, "iter": 29050, "lr": 5e-05, "memory": 17837, "data_time": 0.249, "decode.loss_seg": 0.47947, "decode.acc_seg": 65.21961, "aux.loss_seg": 0.29522, "aux.acc_seg": 59.05753, "loss": 0.7747, "time": 0.63804} -{"mode": "train", "epoch": 24, "iter": 29100, "lr": 5e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.45151, "decode.acc_seg": 67.70411, "aux.loss_seg": 0.29093, "aux.acc_seg": 61.20325, "loss": 0.74244, "time": 0.40672} -{"mode": "train", "epoch": 24, "iter": 29150, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.44136, "decode.acc_seg": 65.42875, "aux.loss_seg": 0.28256, "aux.acc_seg": 58.73683, "loss": 0.72393, "time": 0.39742} -{"mode": "train", "epoch": 24, "iter": 29200, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.44867, "decode.acc_seg": 65.97021, "aux.loss_seg": 0.29541, "aux.acc_seg": 59.14306, "loss": 0.74408, "time": 0.39951} -{"mode": "train", "epoch": 24, "iter": 29250, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.45972, "decode.acc_seg": 66.51406, "aux.loss_seg": 0.30292, "aux.acc_seg": 59.41655, "loss": 0.76264, "time": 0.39745} -{"mode": "train", "epoch": 24, "iter": 29300, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.47199, "decode.acc_seg": 66.08566, "aux.loss_seg": 0.3034, "aux.acc_seg": 59.0592, "loss": 0.77539, "time": 0.39907} -{"mode": "train", "epoch": 24, "iter": 29350, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.49111, "decode.acc_seg": 66.25513, "aux.loss_seg": 0.30348, "aux.acc_seg": 60.07697, "loss": 0.79459, "time": 0.40302} -{"mode": "train", "epoch": 24, "iter": 29400, "lr": 5e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.43567, "decode.acc_seg": 67.19354, "aux.loss_seg": 0.27872, "aux.acc_seg": 60.9295, "loss": 0.71439, "time": 0.40815} -{"mode": "train", "epoch": 24, "iter": 29450, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.47694, "decode.acc_seg": 66.12486, "aux.loss_seg": 0.30182, "aux.acc_seg": 58.94118, "loss": 0.77876, "time": 0.39718} -{"mode": "train", "epoch": 24, "iter": 29500, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.47271, "decode.acc_seg": 65.03997, "aux.loss_seg": 0.29787, "aux.acc_seg": 58.73257, "loss": 0.77058, "time": 0.40909} -{"mode": "train", "epoch": 24, "iter": 29550, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.49097, "decode.acc_seg": 66.32132, "aux.loss_seg": 0.29916, "aux.acc_seg": 60.52446, "loss": 0.79013, "time": 0.40333} -{"mode": "train", "epoch": 24, "iter": 29600, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.5075, "decode.acc_seg": 65.35354, "aux.loss_seg": 0.32123, "aux.acc_seg": 58.25207, "loss": 0.82873, "time": 0.41763} -{"mode": "train", "epoch": 24, "iter": 29650, "lr": 5e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.48816, "decode.acc_seg": 65.54056, "aux.loss_seg": 0.30393, "aux.acc_seg": 59.09892, "loss": 0.79209, "time": 0.41128} -{"mode": "train", "epoch": 24, "iter": 29700, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.4724, "decode.acc_seg": 67.2369, "aux.loss_seg": 0.30957, "aux.acc_seg": 59.76495, "loss": 0.78197, "time": 0.4175} -{"mode": "train", "epoch": 24, "iter": 29750, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.48883, "decode.acc_seg": 66.40233, "aux.loss_seg": 0.30181, "aux.acc_seg": 60.29076, "loss": 0.79064, "time": 0.3986} -{"mode": "train", "epoch": 24, "iter": 29800, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.47073, "decode.acc_seg": 65.12328, "aux.loss_seg": 0.29689, "aux.acc_seg": 58.60208, "loss": 0.76762, "time": 0.40526} -{"mode": "train", "epoch": 24, "iter": 29850, "lr": 5e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.43683, "decode.acc_seg": 66.48514, "aux.loss_seg": 0.28089, "aux.acc_seg": 60.35221, "loss": 0.71772, "time": 0.40037} -{"mode": "train", "epoch": 24, "iter": 29900, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.4823, "decode.acc_seg": 65.73048, "aux.loss_seg": 0.30784, "aux.acc_seg": 58.60511, "loss": 0.79015, "time": 0.40217} -{"mode": "train", "epoch": 24, "iter": 29950, "lr": 5e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.45062, "decode.acc_seg": 64.49226, "aux.loss_seg": 0.28672, "aux.acc_seg": 58.04813, "loss": 0.73734, "time": 0.39776} -{"mode": "train", "epoch": 24, "iter": 30000, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.49682, "decode.acc_seg": 64.93634, "aux.loss_seg": 0.30799, "aux.acc_seg": 58.30256, "loss": 0.80481, "time": 0.39557} -{"mode": "train", "epoch": 24, "iter": 30050, "lr": 5e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.49087, "decode.acc_seg": 65.55222, "aux.loss_seg": 0.31363, "aux.acc_seg": 58.61635, "loss": 0.8045, "time": 0.39431} -{"mode": "train", "epoch": 24, "iter": 30100, "lr": 5e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.45775, "decode.acc_seg": 65.66245, "aux.loss_seg": 0.29284, "aux.acc_seg": 59.08906, "loss": 0.75059, "time": 0.39365} -{"mode": "train", "epoch": 24, "iter": 30150, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.48654, "decode.acc_seg": 65.64845, "aux.loss_seg": 0.30702, "aux.acc_seg": 59.46717, "loss": 0.79357, "time": 0.39461} -{"mode": "train", "epoch": 24, "iter": 30200, "lr": 5e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.49331, "decode.acc_seg": 65.0054, "aux.loss_seg": 0.30653, "aux.acc_seg": 58.82295, "loss": 0.79983, "time": 0.39453} -{"mode": "train", "epoch": 24, "iter": 30250, "lr": 5e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.46918, "decode.acc_seg": 65.23935, "aux.loss_seg": 0.28876, "aux.acc_seg": 59.42271, "loss": 0.75794, "time": 0.39579} -{"mode": "train", "epoch": 24, "iter": 30300, "lr": 5e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.46586, "decode.acc_seg": 65.97342, "aux.loss_seg": 0.29588, "aux.acc_seg": 59.46353, "loss": 0.76174, "time": 0.40874} -{"mode": "train", "epoch": 25, "iter": 30350, "lr": 5e-05, "memory": 17837, "data_time": 0.24513, "decode.loss_seg": 0.46031, "decode.acc_seg": 66.57419, "aux.loss_seg": 0.30046, "aux.acc_seg": 60.03287, "loss": 0.76077, "time": 0.63144} -{"mode": "train", "epoch": 25, "iter": 30400, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.46978, "decode.acc_seg": 67.48572, "aux.loss_seg": 0.30714, "aux.acc_seg": 60.0342, "loss": 0.77692, "time": 0.40874} -{"mode": "train", "epoch": 25, "iter": 30450, "lr": 5e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.45296, "decode.acc_seg": 67.43232, "aux.loss_seg": 0.29884, "aux.acc_seg": 60.26743, "loss": 0.7518, "time": 0.40408} -{"mode": "train", "epoch": 25, "iter": 30500, "lr": 5e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.43247, "decode.acc_seg": 65.90477, "aux.loss_seg": 0.27569, "aux.acc_seg": 59.95807, "loss": 0.70816, "time": 0.40865} -{"mode": "train", "epoch": 25, "iter": 30550, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.46491, "decode.acc_seg": 64.90014, "aux.loss_seg": 0.29543, "aux.acc_seg": 58.30091, "loss": 0.76034, "time": 0.40279} -{"mode": "train", "epoch": 25, "iter": 30600, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.47893, "decode.acc_seg": 66.55258, "aux.loss_seg": 0.3052, "aux.acc_seg": 60.05067, "loss": 0.78412, "time": 0.40155} -{"mode": "train", "epoch": 25, "iter": 30650, "lr": 5e-05, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.45873, "decode.acc_seg": 65.75351, "aux.loss_seg": 0.28784, "aux.acc_seg": 59.1172, "loss": 0.74656, "time": 0.39904} -{"mode": "train", "epoch": 25, "iter": 30700, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.48175, "decode.acc_seg": 64.6014, "aux.loss_seg": 0.29987, "aux.acc_seg": 58.37191, "loss": 0.78162, "time": 0.41532} -{"mode": "train", "epoch": 25, "iter": 30750, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.49735, "decode.acc_seg": 65.46259, "aux.loss_seg": 0.30633, "aux.acc_seg": 59.04338, "loss": 0.80368, "time": 0.40497} -{"mode": "train", "epoch": 25, "iter": 30800, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.45206, "decode.acc_seg": 67.45045, "aux.loss_seg": 0.29183, "aux.acc_seg": 60.622, "loss": 0.74388, "time": 0.39532} -{"mode": "train", "epoch": 25, "iter": 30850, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.48406, "decode.acc_seg": 66.1287, "aux.loss_seg": 0.29947, "aux.acc_seg": 59.41977, "loss": 0.78354, "time": 0.40499} -{"mode": "train", "epoch": 25, "iter": 30900, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.44602, "decode.acc_seg": 66.0643, "aux.loss_seg": 0.27632, "aux.acc_seg": 60.42548, "loss": 0.72234, "time": 0.41218} -{"mode": "train", "epoch": 25, "iter": 30950, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.46139, "decode.acc_seg": 66.31026, "aux.loss_seg": 0.29595, "aux.acc_seg": 59.63691, "loss": 0.75734, "time": 0.39652} -{"mode": "train", "epoch": 25, "iter": 31000, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.46965, "decode.acc_seg": 65.66082, "aux.loss_seg": 0.29643, "aux.acc_seg": 59.03807, "loss": 0.76608, "time": 0.40163} -{"mode": "train", "epoch": 25, "iter": 31050, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.47686, "decode.acc_seg": 66.53729, "aux.loss_seg": 0.30382, "aux.acc_seg": 59.71121, "loss": 0.78067, "time": 0.39542} -{"mode": "train", "epoch": 25, "iter": 31100, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.47467, "decode.acc_seg": 66.10117, "aux.loss_seg": 0.29659, "aux.acc_seg": 60.28045, "loss": 0.77126, "time": 0.39689} -{"mode": "train", "epoch": 25, "iter": 31150, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.47325, "decode.acc_seg": 67.04078, "aux.loss_seg": 0.30133, "aux.acc_seg": 60.04209, "loss": 0.77458, "time": 0.40581} -{"mode": "train", "epoch": 25, "iter": 31200, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.48991, "decode.acc_seg": 67.49874, "aux.loss_seg": 0.30979, "aux.acc_seg": 60.58169, "loss": 0.7997, "time": 0.41768} -{"mode": "train", "epoch": 25, "iter": 31250, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.47205, "decode.acc_seg": 66.87267, "aux.loss_seg": 0.29301, "aux.acc_seg": 60.89192, "loss": 0.76506, "time": 0.40056} -{"mode": "train", "epoch": 25, "iter": 31300, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.44987, "decode.acc_seg": 66.04431, "aux.loss_seg": 0.28587, "aux.acc_seg": 59.83052, "loss": 0.73574, "time": 0.39715} -{"mode": "train", "epoch": 25, "iter": 31350, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.47796, "decode.acc_seg": 67.11975, "aux.loss_seg": 0.30218, "aux.acc_seg": 60.41469, "loss": 0.78013, "time": 0.39731} -{"mode": "train", "epoch": 25, "iter": 31400, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.4546, "decode.acc_seg": 66.05203, "aux.loss_seg": 0.29513, "aux.acc_seg": 59.01855, "loss": 0.74973, "time": 0.39987} -{"mode": "train", "epoch": 25, "iter": 31450, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.46727, "decode.acc_seg": 65.78932, "aux.loss_seg": 0.29376, "aux.acc_seg": 59.62336, "loss": 0.76102, "time": 0.39773} -{"mode": "train", "epoch": 25, "iter": 31500, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.47296, "decode.acc_seg": 66.37667, "aux.loss_seg": 0.29592, "aux.acc_seg": 59.79803, "loss": 0.76889, "time": 0.40505} -{"mode": "train", "epoch": 25, "iter": 31550, "lr": 5e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.4333, "decode.acc_seg": 66.81556, "aux.loss_seg": 0.28418, "aux.acc_seg": 60.05452, "loss": 0.71748, "time": 0.40317} -{"mode": "train", "epoch": 26, "iter": 31600, "lr": 5e-05, "memory": 17837, "data_time": 0.24274, "decode.loss_seg": 0.48681, "decode.acc_seg": 65.30066, "aux.loss_seg": 0.29889, "aux.acc_seg": 58.91781, "loss": 0.78571, "time": 0.63115} -{"mode": "train", "epoch": 26, "iter": 31650, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.4533, "decode.acc_seg": 67.67205, "aux.loss_seg": 0.29473, "aux.acc_seg": 60.7739, "loss": 0.74803, "time": 0.3954} -{"mode": "train", "epoch": 26, "iter": 31700, "lr": 5e-05, "memory": 17837, "data_time": 0.00671, "decode.loss_seg": 0.44402, "decode.acc_seg": 67.05921, "aux.loss_seg": 0.2777, "aux.acc_seg": 61.36024, "loss": 0.72172, "time": 0.39609} -{"mode": "train", "epoch": 26, "iter": 31750, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.49099, "decode.acc_seg": 66.51164, "aux.loss_seg": 0.30004, "aux.acc_seg": 60.30445, "loss": 0.79103, "time": 0.39577} -{"mode": "train", "epoch": 26, "iter": 31800, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.45202, "decode.acc_seg": 67.63861, "aux.loss_seg": 0.29561, "aux.acc_seg": 60.63587, "loss": 0.74763, "time": 0.39635} -{"mode": "train", "epoch": 26, "iter": 31850, "lr": 5e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.47185, "decode.acc_seg": 65.09795, "aux.loss_seg": 0.30288, "aux.acc_seg": 57.82278, "loss": 0.77472, "time": 0.39741} -{"mode": "train", "epoch": 26, "iter": 31900, "lr": 5e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.47868, "decode.acc_seg": 65.60625, "aux.loss_seg": 0.31107, "aux.acc_seg": 58.20197, "loss": 0.78975, "time": 0.39854} -{"mode": "train", "epoch": 26, "iter": 31950, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.44391, "decode.acc_seg": 66.65913, "aux.loss_seg": 0.28135, "aux.acc_seg": 60.23066, "loss": 0.72526, "time": 0.3958} -{"mode": "val", "epoch": 26, "iter": 32000, "lr": 5e-05, "mIoU": 0.4205, "mAcc": 0.5498, "aAcc": 0.7962, "IoU.wall": 0.7318, "IoU.building": 0.7998, "IoU.sky": 0.9352, "IoU.floor": 0.7801, "IoU.tree": 0.7263, "IoU.ceiling": 0.8045, "IoU.road": 0.7892, "IoU.bed ": 0.8244, "IoU.windowpane": 0.57, "IoU.grass": 0.645, "IoU.cabinet": 0.5376, "IoU.sidewalk": 0.5754, "IoU.person": 0.7422, "IoU.earth": 0.2932, "IoU.door": 0.36, "IoU.table": 0.4802, "IoU.mountain": 0.5302, "IoU.plant": 0.5019, "IoU.curtain": 0.6524, "IoU.chair": 0.466, "IoU.car": 0.8014, "IoU.water": 0.5386, "IoU.painting": 0.6426, "IoU.sofa": 0.5679, "IoU.shelf": 0.3524, "IoU.house": 0.4696, "IoU.sea": 0.5813, "IoU.mirror": 0.477, "IoU.rug": 0.6322, "IoU.field": 0.2978, "IoU.armchair": 0.2689, "IoU.seat": 0.6172, "IoU.fence": 0.3395, "IoU.desk": 0.3686, "IoU.rock": 0.319, "IoU.wardrobe": 0.4271, "IoU.lamp": 0.4968, "IoU.bathtub": 0.6919, "IoU.railing": 0.3149, "IoU.cushion": 0.4512, "IoU.base": 0.2457, "IoU.box": 0.2174, "IoU.column": 0.3743, "IoU.signboard": 0.3095, "IoU.chest of drawers": 0.3511, "IoU.counter": 0.3291, "IoU.sand": 0.3641, "IoU.sink": 0.5815, "IoU.skyscraper": 0.5796, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6008, "IoU.grandstand": 0.5246, "IoU.path": 0.1877, "IoU.stairs": 0.2767, "IoU.runway": 0.6239, "IoU.case": 0.4491, "IoU.pool table": 0.8965, "IoU.pillow": 0.4993, "IoU.screen door": 0.5487, "IoU.stairway": 0.2998, "IoU.river": 0.1805, "IoU.bridge": 0.5318, "IoU.bookcase": 0.3293, "IoU.blind": NaN, "IoU.coffee table": 0.4974, "IoU.toilet": 0.7575, "IoU.flower": 0.3172, "IoU.book": 0.4129, "IoU.hill": 0.0645, "IoU.bench": 0.3342, "IoU.countertop": 0.5081, "IoU.stove": 0.5869, "IoU.palm": 0.4226, "IoU.kitchen island": 0.257, "IoU.computer": 0.5028, "IoU.swivel chair": 0.3417, "IoU.boat": 0.3662, "IoU.bar": 0.4784, "IoU.arcade machine": 0.6851, "IoU.hovel": 0.4474, "IoU.bus": 0.7439, "IoU.towel": 0.5048, "IoU.light": 0.3906, "IoU.truck": 0.1615, "IoU.tower": 0.2343, "IoU.chandelier": 0.5658, "IoU.awning": 0.23, "IoU.streetlight": 0.1697, "IoU.booth": 0.4633, "IoU.television receiver": NaN, "IoU.airplane": 0.5298, "IoU.dirt track": 0.0106, "IoU.apparel": 0.2371, "IoU.pole": 0.0988, "IoU.land": 0.0411, "IoU.bannister": 0.0195, "IoU.escalator": 0.2857, "IoU.ottoman": 0.3384, "IoU.bottle": NaN, "IoU.buffet": 0.4287, "IoU.poster": 0.1255, "IoU.stage": 0.1131, "IoU.van": 0.332, "IoU.ship": 0.5683, "IoU.fountain": 0.2472, "IoU.conveyer belt": 0.5252, "IoU.canopy": 0.2044, "IoU.washer": 0.653, "IoU.plaything": 0.1597, "IoU.swimming pool": 0.766, "IoU.stool": 0.2503, "IoU.barrel": 0.4361, "IoU.basket": 0.2159, "IoU.waterfall": 0.3787, "IoU.tent": 0.7504, "IoU.bag": 0.0734, "IoU.minibike": 0.6755, "IoU.cradle": NaN, "IoU.oven": 0.2362, "IoU.ball": 0.4619, "IoU.food": 0.4363, "IoU.step": 0.0729, "IoU.tank": 0.4961, "IoU.trade name": 0.0749, "IoU.microwave": 0.7408, "IoU.pot": 0.4266, "IoU.animal": NaN, "IoU.bicycle": 0.4979, "IoU.lake": 0.5861, "IoU.dishwasher": 0.4304, "IoU.screen": 0.5406, "IoU.blanket": 0.0396, "IoU.sculpture": 0.3852, "IoU.hood": 0.4331, "IoU.sconce": 0.2131, "IoU.vase": 0.2481, "IoU.traffic light": 0.1719, "IoU.tray": 0.0344, "IoU.ashcan": 0.2493, "IoU.fan": 0.4345, "IoU.pier": 0.4775, "IoU.crt screen": 0.0599, "IoU.plate": 0.4714, "IoU.monitor": 0.2345, "IoU.bulletin board": 0.3127, "IoU.shower": 0.0, "IoU.radiator": 0.5349, "IoU.glass": 0.0577, "IoU.clock": 0.1883, "IoU.flag": 0.4019, "Acc.wall": 0.8529, "Acc.building": 0.8883, "Acc.sky": 0.9716, "Acc.floor": 0.8673, "Acc.tree": 0.8524, "Acc.ceiling": 0.9093, "Acc.road": 0.8933, "Acc.bed ": 0.9338, "Acc.windowpane": 0.7351, "Acc.grass": 0.7991, "Acc.cabinet": 0.6491, "Acc.sidewalk": 0.7218, "Acc.person": 0.8843, "Acc.earth": 0.3762, "Acc.door": 0.466, "Acc.table": 0.6908, "Acc.mountain": 0.776, "Acc.plant": 0.6232, "Acc.curtain": 0.8323, "Acc.chair": 0.6756, "Acc.car": 0.9204, "Acc.water": 0.6966, "Acc.painting": 0.8291, "Acc.sofa": 0.7912, "Acc.shelf": 0.5207, "Acc.house": 0.8133, "Acc.sea": 0.7322, "Acc.mirror": 0.5712, "Acc.rug": 0.7789, "Acc.field": 0.5921, "Acc.armchair": 0.3833, "Acc.seat": 0.8061, "Acc.fence": 0.4273, "Acc.desk": 0.6725, "Acc.rock": 0.4244, "Acc.wardrobe": 0.5664, "Acc.lamp": 0.6496, "Acc.bathtub": 0.829, "Acc.railing": 0.4712, "Acc.cushion": 0.5643, "Acc.base": 0.3691, "Acc.box": 0.305, "Acc.column": 0.4791, "Acc.signboard": 0.4695, "Acc.chest of drawers": 0.4965, "Acc.counter": 0.5249, "Acc.sand": 0.515, "Acc.sink": 0.7413, "Acc.skyscraper": 0.8127, "Acc.fireplace": NaN, "Acc.refrigerator": 0.7811, "Acc.grandstand": 0.6492, "Acc.path": 0.3703, "Acc.stairs": 0.3485, "Acc.runway": 0.7878, "Acc.case": 0.7585, "Acc.pool table": 0.9523, "Acc.pillow": 0.6551, "Acc.screen door": 0.7899, "Acc.stairway": 0.4575, "Acc.river": 0.4509, "Acc.bridge": 0.7909, "Acc.bookcase": 0.3987, "Acc.blind": NaN, "Acc.coffee table": 0.7348, "Acc.toilet": 0.8478, "Acc.flower": 0.4293, "Acc.book": 0.6877, "Acc.hill": 0.1131, "Acc.bench": 0.4877, "Acc.countertop": 0.6168, "Acc.stove": 0.7097, "Acc.palm": 0.6383, "Acc.kitchen island": 0.642, "Acc.computer": 0.6248, "Acc.swivel chair": 0.4264, "Acc.boat": 0.4974, "Acc.bar": 0.6281, "Acc.arcade machine": 0.7493, "Acc.hovel": 0.5014, "Acc.bus": 0.8808, "Acc.towel": 0.6816, "Acc.light": 0.4194, "Acc.truck": 0.2291, "Acc.tower": 0.3769, "Acc.chandelier": 0.762, "Acc.awning": 0.3198, "Acc.streetlight": 0.2303, "Acc.booth": 0.5754, "Acc.television receiver": NaN, "Acc.airplane": 0.6261, "Acc.dirt track": 0.0319, "Acc.apparel": 0.402, "Acc.pole": 0.135, "Acc.land": 0.0494, "Acc.bannister": 0.0245, "Acc.escalator": 0.3773, "Acc.ottoman": 0.4926, "Acc.bottle": NaN, "Acc.buffet": 0.6279, "Acc.poster": 0.1422, "Acc.stage": 0.1712, "Acc.van": 0.4704, "Acc.ship": 0.9934, "Acc.fountain": 0.2505, "Acc.conveyer belt": 0.7108, "Acc.canopy": 0.3026, "Acc.washer": 0.713, "Acc.plaything": 0.2186, "Acc.swimming pool": 0.8867, "Acc.stool": 0.2973, "Acc.barrel": 0.6316, "Acc.basket": 0.26, "Acc.waterfall": 0.4019, "Acc.tent": 0.9916, "Acc.bag": 0.0816, "Acc.minibike": 0.8729, "Acc.cradle": NaN, "Acc.oven": 0.3007, "Acc.ball": 0.561, "Acc.food": 0.4953, "Acc.step": 0.0812, "Acc.tank": 0.6032, "Acc.trade name": 0.0773, "Acc.microwave": 0.8824, "Acc.pot": 0.511, "Acc.animal": NaN, "Acc.bicycle": 0.674, "Acc.lake": 0.5996, "Acc.dishwasher": 0.5672, "Acc.screen": 0.8819, "Acc.blanket": 0.045, "Acc.sculpture": 0.4569, "Acc.hood": 0.515, "Acc.sconce": 0.2294, "Acc.vase": 0.3552, "Acc.traffic light": 0.2806, "Acc.tray": 0.0372, "Acc.ashcan": 0.3303, "Acc.fan": 0.7042, "Acc.pier": 0.6401, "Acc.crt screen": 0.1129, "Acc.plate": 0.6666, "Acc.monitor": 0.3974, "Acc.bulletin board": 0.4338, "Acc.shower": 0.0, "Acc.radiator": 0.646, "Acc.glass": 0.0602, "Acc.clock": 0.247, "Acc.flag": 0.4593} -{"mode": "train", "epoch": 26, "iter": 32050, "lr": 5e-05, "memory": 17837, "data_time": 1.49092, "decode.loss_seg": 0.45179, "decode.acc_seg": 66.06235, "aux.loss_seg": 0.29043, "aux.acc_seg": 59.41384, "loss": 0.74222, "time": 1.88934} -{"mode": "train", "epoch": 26, "iter": 32100, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.45347, "decode.acc_seg": 65.81905, "aux.loss_seg": 0.28924, "aux.acc_seg": 59.15842, "loss": 0.74271, "time": 0.39546} -{"mode": "train", "epoch": 26, "iter": 32150, "lr": 5e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.48373, "decode.acc_seg": 65.91419, "aux.loss_seg": 0.30394, "aux.acc_seg": 59.65662, "loss": 0.78767, "time": 0.40037} -{"mode": "train", "epoch": 26, "iter": 32200, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.49215, "decode.acc_seg": 65.27922, "aux.loss_seg": 0.30316, "aux.acc_seg": 59.22718, "loss": 0.79531, "time": 0.39706} -{"mode": "train", "epoch": 26, "iter": 32250, "lr": 5e-05, "memory": 17837, "data_time": 0.00547, "decode.loss_seg": 0.45634, "decode.acc_seg": 66.33383, "aux.loss_seg": 0.29006, "aux.acc_seg": 59.88027, "loss": 0.74641, "time": 0.39567} -{"mode": "train", "epoch": 26, "iter": 32300, "lr": 5e-05, "memory": 17837, "data_time": 0.00551, "decode.loss_seg": 0.4514, "decode.acc_seg": 66.3875, "aux.loss_seg": 0.29457, "aux.acc_seg": 59.78865, "loss": 0.74597, "time": 0.40779} -{"mode": "train", "epoch": 26, "iter": 32350, "lr": 5e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.47067, "decode.acc_seg": 65.65095, "aux.loss_seg": 0.30007, "aux.acc_seg": 58.95742, "loss": 0.77074, "time": 0.40722} -{"mode": "train", "epoch": 26, "iter": 32400, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.45467, "decode.acc_seg": 67.96563, "aux.loss_seg": 0.29201, "aux.acc_seg": 61.43497, "loss": 0.74667, "time": 0.39493} -{"mode": "train", "epoch": 26, "iter": 32450, "lr": 5e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.46039, "decode.acc_seg": 66.25697, "aux.loss_seg": 0.29829, "aux.acc_seg": 59.36736, "loss": 0.75868, "time": 0.40098} -{"mode": "train", "epoch": 26, "iter": 32500, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.43755, "decode.acc_seg": 66.39009, "aux.loss_seg": 0.28828, "aux.acc_seg": 59.33999, "loss": 0.72583, "time": 0.40166} -{"mode": "train", "epoch": 26, "iter": 32550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.46688, "decode.acc_seg": 66.95945, "aux.loss_seg": 0.29911, "aux.acc_seg": 60.34296, "loss": 0.766, "time": 0.40101} -{"mode": "train", "epoch": 26, "iter": 32600, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.47932, "decode.acc_seg": 65.3175, "aux.loss_seg": 0.29839, "aux.acc_seg": 58.64195, "loss": 0.77771, "time": 0.39556} -{"mode": "train", "epoch": 26, "iter": 32650, "lr": 5e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.44342, "decode.acc_seg": 68.16317, "aux.loss_seg": 0.28693, "aux.acc_seg": 61.61452, "loss": 0.73036, "time": 0.39978} -{"mode": "train", "epoch": 26, "iter": 32700, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.47797, "decode.acc_seg": 65.54675, "aux.loss_seg": 0.30382, "aux.acc_seg": 58.64768, "loss": 0.78179, "time": 0.39539} -{"mode": "train", "epoch": 26, "iter": 32750, "lr": 5e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.46635, "decode.acc_seg": 66.75456, "aux.loss_seg": 0.28774, "aux.acc_seg": 60.69818, "loss": 0.75409, "time": 0.40439} -{"mode": "train", "epoch": 26, "iter": 32800, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.45739, "decode.acc_seg": 67.32681, "aux.loss_seg": 0.28842, "aux.acc_seg": 61.2314, "loss": 0.74582, "time": 0.40458} -{"mode": "train", "epoch": 27, "iter": 32850, "lr": 5e-05, "memory": 17837, "data_time": 0.23908, "decode.loss_seg": 0.45297, "decode.acc_seg": 66.9757, "aux.loss_seg": 0.28292, "aux.acc_seg": 60.64405, "loss": 0.73588, "time": 0.62763} -{"mode": "train", "epoch": 27, "iter": 32900, "lr": 5e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.43303, "decode.acc_seg": 67.06015, "aux.loss_seg": 0.28242, "aux.acc_seg": 60.45336, "loss": 0.71545, "time": 0.40417} -{"mode": "train", "epoch": 27, "iter": 32950, "lr": 5e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.45309, "decode.acc_seg": 67.49065, "aux.loss_seg": 0.29043, "aux.acc_seg": 61.25212, "loss": 0.74352, "time": 0.40026} -{"mode": "train", "epoch": 27, "iter": 33000, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.4474, "decode.acc_seg": 66.36734, "aux.loss_seg": 0.2857, "aux.acc_seg": 59.90975, "loss": 0.7331, "time": 0.39862} -{"mode": "train", "epoch": 27, "iter": 33050, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.44438, "decode.acc_seg": 66.47203, "aux.loss_seg": 0.28898, "aux.acc_seg": 59.4292, "loss": 0.73336, "time": 0.3974} -{"mode": "train", "epoch": 27, "iter": 33100, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.42802, "decode.acc_seg": 66.1971, "aux.loss_seg": 0.26863, "aux.acc_seg": 60.34687, "loss": 0.69664, "time": 0.39793} -{"mode": "train", "epoch": 27, "iter": 33150, "lr": 5e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.4397, "decode.acc_seg": 66.43061, "aux.loss_seg": 0.28381, "aux.acc_seg": 59.9496, "loss": 0.72351, "time": 0.41785} -{"mode": "train", "epoch": 27, "iter": 33200, "lr": 5e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.45319, "decode.acc_seg": 66.25407, "aux.loss_seg": 0.29762, "aux.acc_seg": 59.8858, "loss": 0.75081, "time": 0.40287} -{"mode": "train", "epoch": 27, "iter": 33250, "lr": 5e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.43665, "decode.acc_seg": 66.72501, "aux.loss_seg": 0.28066, "aux.acc_seg": 59.98819, "loss": 0.71731, "time": 0.40062} -{"mode": "train", "epoch": 27, "iter": 33300, "lr": 5e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.42918, "decode.acc_seg": 66.78298, "aux.loss_seg": 0.27507, "aux.acc_seg": 60.17571, "loss": 0.70426, "time": 0.40455} -{"mode": "train", "epoch": 27, "iter": 33350, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.44092, "decode.acc_seg": 65.89656, "aux.loss_seg": 0.28451, "aux.acc_seg": 59.06055, "loss": 0.72543, "time": 0.40043} -{"mode": "train", "epoch": 27, "iter": 33400, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.45957, "decode.acc_seg": 66.58161, "aux.loss_seg": 0.29702, "aux.acc_seg": 59.93673, "loss": 0.75659, "time": 0.399} -{"mode": "train", "epoch": 27, "iter": 33450, "lr": 5e-05, "memory": 17837, "data_time": 0.00698, "decode.loss_seg": 0.45674, "decode.acc_seg": 65.85239, "aux.loss_seg": 0.28802, "aux.acc_seg": 59.32366, "loss": 0.74476, "time": 0.3986} -{"mode": "train", "epoch": 27, "iter": 33500, "lr": 5e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.45461, "decode.acc_seg": 66.21676, "aux.loss_seg": 0.28925, "aux.acc_seg": 59.58504, "loss": 0.74386, "time": 0.40212} -{"mode": "train", "epoch": 27, "iter": 33550, "lr": 5e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.47936, "decode.acc_seg": 66.24536, "aux.loss_seg": 0.29835, "aux.acc_seg": 60.08333, "loss": 0.77771, "time": 0.39794} -{"mode": "train", "epoch": 27, "iter": 33600, "lr": 5e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.49019, "decode.acc_seg": 66.15557, "aux.loss_seg": 0.30341, "aux.acc_seg": 59.95725, "loss": 0.79359, "time": 0.39899} -{"mode": "train", "epoch": 27, "iter": 33650, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.44434, "decode.acc_seg": 66.90864, "aux.loss_seg": 0.2887, "aux.acc_seg": 60.16337, "loss": 0.73304, "time": 0.39927} -{"mode": "train", "epoch": 27, "iter": 33700, "lr": 5e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.46052, "decode.acc_seg": 66.59364, "aux.loss_seg": 0.29457, "aux.acc_seg": 60.41854, "loss": 0.75509, "time": 0.398} -{"mode": "train", "epoch": 27, "iter": 33750, "lr": 5e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.46754, "decode.acc_seg": 67.51217, "aux.loss_seg": 0.29821, "aux.acc_seg": 60.78549, "loss": 0.76575, "time": 0.40003} -{"mode": "train", "epoch": 27, "iter": 33800, "lr": 5e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.45193, "decode.acc_seg": 67.08664, "aux.loss_seg": 0.28753, "aux.acc_seg": 60.67966, "loss": 0.73947, "time": 0.39588} -{"mode": "train", "epoch": 27, "iter": 33850, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.47396, "decode.acc_seg": 66.8797, "aux.loss_seg": 0.29387, "aux.acc_seg": 60.54281, "loss": 0.76783, "time": 0.39935} -{"mode": "train", "epoch": 27, "iter": 33900, "lr": 5e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.46371, "decode.acc_seg": 67.11907, "aux.loss_seg": 0.2976, "aux.acc_seg": 60.84582, "loss": 0.76131, "time": 0.40622} -{"mode": "train", "epoch": 27, "iter": 33950, "lr": 5e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.43363, "decode.acc_seg": 66.15787, "aux.loss_seg": 0.28125, "aux.acc_seg": 60.19327, "loss": 0.71488, "time": 0.41332} -{"mode": "train", "epoch": 27, "iter": 34000, "lr": 5e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.45278, "decode.acc_seg": 65.82661, "aux.loss_seg": 0.29207, "aux.acc_seg": 58.93567, "loss": 0.74484, "time": 0.40234} -{"mode": "train", "epoch": 27, "iter": 34050, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.44498, "decode.acc_seg": 67.3766, "aux.loss_seg": 0.27661, "aux.acc_seg": 61.705, "loss": 0.72159, "time": 0.39838} -{"mode": "train", "epoch": 27, "iter": 34100, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.45488, "decode.acc_seg": 65.82023, "aux.loss_seg": 0.29113, "aux.acc_seg": 59.16004, "loss": 0.74601, "time": 0.39687} -{"mode": "train", "epoch": 28, "iter": 34150, "lr": 5e-05, "memory": 17837, "data_time": 0.24337, "decode.loss_seg": 0.4563, "decode.acc_seg": 67.05059, "aux.loss_seg": 0.29219, "aux.acc_seg": 60.64258, "loss": 0.74849, "time": 0.63324} -{"mode": "train", "epoch": 28, "iter": 34200, "lr": 5e-05, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.43225, "decode.acc_seg": 66.59078, "aux.loss_seg": 0.28286, "aux.acc_seg": 59.71058, "loss": 0.71511, "time": 0.413} -{"mode": "train", "epoch": 28, "iter": 34250, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.44376, "decode.acc_seg": 67.36552, "aux.loss_seg": 0.28888, "aux.acc_seg": 60.91348, "loss": 0.73264, "time": 0.4} -{"mode": "train", "epoch": 28, "iter": 34300, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.43185, "decode.acc_seg": 67.37661, "aux.loss_seg": 0.27418, "aux.acc_seg": 61.15625, "loss": 0.70603, "time": 0.40231} -{"mode": "train", "epoch": 28, "iter": 34350, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.44272, "decode.acc_seg": 66.86469, "aux.loss_seg": 0.28534, "aux.acc_seg": 60.41015, "loss": 0.72806, "time": 0.39743} -{"mode": "train", "epoch": 28, "iter": 34400, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.45933, "decode.acc_seg": 66.48335, "aux.loss_seg": 0.29216, "aux.acc_seg": 60.40891, "loss": 0.75149, "time": 0.3945} -{"mode": "train", "epoch": 28, "iter": 34450, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.42901, "decode.acc_seg": 67.628, "aux.loss_seg": 0.27241, "aux.acc_seg": 61.61401, "loss": 0.70143, "time": 0.40567} -{"mode": "train", "epoch": 28, "iter": 34500, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.46917, "decode.acc_seg": 65.31743, "aux.loss_seg": 0.30026, "aux.acc_seg": 58.19025, "loss": 0.76942, "time": 0.41126} -{"mode": "train", "epoch": 28, "iter": 34550, "lr": 5e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.45706, "decode.acc_seg": 67.93265, "aux.loss_seg": 0.29146, "aux.acc_seg": 61.39656, "loss": 0.74852, "time": 0.39937} -{"mode": "train", "epoch": 28, "iter": 34600, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.44745, "decode.acc_seg": 66.39998, "aux.loss_seg": 0.29351, "aux.acc_seg": 59.50669, "loss": 0.74096, "time": 0.39544} -{"mode": "train", "epoch": 28, "iter": 34650, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.43963, "decode.acc_seg": 66.89162, "aux.loss_seg": 0.28061, "aux.acc_seg": 60.71719, "loss": 0.72024, "time": 0.40554} -{"mode": "train", "epoch": 28, "iter": 34700, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.47537, "decode.acc_seg": 66.57632, "aux.loss_seg": 0.30018, "aux.acc_seg": 59.90054, "loss": 0.77554, "time": 0.39825} -{"mode": "train", "epoch": 28, "iter": 34750, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.44838, "decode.acc_seg": 66.82804, "aux.loss_seg": 0.29076, "aux.acc_seg": 59.99106, "loss": 0.73914, "time": 0.40039} -{"mode": "train", "epoch": 28, "iter": 34800, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.44792, "decode.acc_seg": 67.35804, "aux.loss_seg": 0.29209, "aux.acc_seg": 60.60102, "loss": 0.74002, "time": 0.40721} -{"mode": "train", "epoch": 28, "iter": 34850, "lr": 5e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.43039, "decode.acc_seg": 67.16735, "aux.loss_seg": 0.28286, "aux.acc_seg": 60.34268, "loss": 0.71325, "time": 0.40901} -{"mode": "train", "epoch": 28, "iter": 34900, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.44335, "decode.acc_seg": 68.17854, "aux.loss_seg": 0.28949, "aux.acc_seg": 61.13669, "loss": 0.73283, "time": 0.40664} -{"mode": "train", "epoch": 28, "iter": 34950, "lr": 5e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.44523, "decode.acc_seg": 67.69459, "aux.loss_seg": 0.29662, "aux.acc_seg": 60.34349, "loss": 0.74185, "time": 0.39458} -{"mode": "train", "epoch": 28, "iter": 35000, "lr": 5e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.44371, "decode.acc_seg": 65.68987, "aux.loss_seg": 0.29172, "aux.acc_seg": 58.95348, "loss": 0.73543, "time": 0.39576} -{"mode": "train", "epoch": 28, "iter": 35050, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.44137, "decode.acc_seg": 67.43305, "aux.loss_seg": 0.28662, "aux.acc_seg": 60.72713, "loss": 0.72799, "time": 0.39407} -{"mode": "train", "epoch": 28, "iter": 35100, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.43441, "decode.acc_seg": 67.65775, "aux.loss_seg": 0.27766, "aux.acc_seg": 61.43806, "loss": 0.71207, "time": 0.39596} -{"mode": "train", "epoch": 28, "iter": 35150, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.44989, "decode.acc_seg": 67.24423, "aux.loss_seg": 0.28437, "aux.acc_seg": 60.78924, "loss": 0.73426, "time": 0.39925} -{"mode": "train", "epoch": 28, "iter": 35200, "lr": 5e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.46212, "decode.acc_seg": 65.96294, "aux.loss_seg": 0.29828, "aux.acc_seg": 58.63895, "loss": 0.7604, "time": 0.40027} -{"mode": "train", "epoch": 28, "iter": 35250, "lr": 5e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.439, "decode.acc_seg": 66.5945, "aux.loss_seg": 0.28895, "aux.acc_seg": 59.69694, "loss": 0.72795, "time": 0.40034} -{"mode": "train", "epoch": 28, "iter": 35300, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.44213, "decode.acc_seg": 65.73513, "aux.loss_seg": 0.28535, "aux.acc_seg": 59.26211, "loss": 0.72749, "time": 0.40193} -{"mode": "train", "epoch": 28, "iter": 35350, "lr": 5e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.43348, "decode.acc_seg": 65.69787, "aux.loss_seg": 0.27581, "aux.acc_seg": 59.2364, "loss": 0.7093, "time": 0.40493} -{"mode": "train", "epoch": 29, "iter": 35400, "lr": 5e-05, "memory": 17837, "data_time": 0.24724, "decode.loss_seg": 0.45545, "decode.acc_seg": 67.18462, "aux.loss_seg": 0.29097, "aux.acc_seg": 60.23121, "loss": 0.74642, "time": 0.64239} -{"mode": "train", "epoch": 29, "iter": 35450, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.43018, "decode.acc_seg": 66.35875, "aux.loss_seg": 0.28074, "aux.acc_seg": 59.89173, "loss": 0.71092, "time": 0.42155} -{"mode": "train", "epoch": 29, "iter": 35500, "lr": 5e-05, "memory": 17837, "data_time": 0.00699, "decode.loss_seg": 0.43369, "decode.acc_seg": 66.67667, "aux.loss_seg": 0.28866, "aux.acc_seg": 59.4189, "loss": 0.72234, "time": 0.41474} -{"mode": "train", "epoch": 29, "iter": 35550, "lr": 5e-05, "memory": 17837, "data_time": 0.007, "decode.loss_seg": 0.45442, "decode.acc_seg": 67.71152, "aux.loss_seg": 0.28051, "aux.acc_seg": 61.56624, "loss": 0.73494, "time": 0.4255} -{"mode": "train", "epoch": 29, "iter": 35600, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.44318, "decode.acc_seg": 68.45891, "aux.loss_seg": 0.29728, "aux.acc_seg": 61.30766, "loss": 0.74046, "time": 0.4002} -{"mode": "train", "epoch": 29, "iter": 35650, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.44382, "decode.acc_seg": 67.42363, "aux.loss_seg": 0.28849, "aux.acc_seg": 60.95429, "loss": 0.73231, "time": 0.40287} -{"mode": "train", "epoch": 29, "iter": 35700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.4294, "decode.acc_seg": 67.50815, "aux.loss_seg": 0.2824, "aux.acc_seg": 60.41122, "loss": 0.7118, "time": 0.39782} -{"mode": "train", "epoch": 29, "iter": 35750, "lr": 5e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.43053, "decode.acc_seg": 66.42779, "aux.loss_seg": 0.27709, "aux.acc_seg": 60.25367, "loss": 0.70762, "time": 0.40102} -{"mode": "train", "epoch": 29, "iter": 35800, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.44098, "decode.acc_seg": 66.57493, "aux.loss_seg": 0.28042, "aux.acc_seg": 59.9155, "loss": 0.7214, "time": 0.39377} -{"mode": "train", "epoch": 29, "iter": 35850, "lr": 5e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.43126, "decode.acc_seg": 66.39822, "aux.loss_seg": 0.281, "aux.acc_seg": 59.76712, "loss": 0.71226, "time": 0.3961} -{"mode": "train", "epoch": 29, "iter": 35900, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.43251, "decode.acc_seg": 67.17978, "aux.loss_seg": 0.29099, "aux.acc_seg": 59.61721, "loss": 0.7235, "time": 0.39476} -{"mode": "train", "epoch": 29, "iter": 35950, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.44858, "decode.acc_seg": 67.59409, "aux.loss_seg": 0.29584, "aux.acc_seg": 60.28023, "loss": 0.74442, "time": 0.40019} -{"mode": "train", "epoch": 29, "iter": 36000, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.46586, "decode.acc_seg": 68.07397, "aux.loss_seg": 0.30387, "aux.acc_seg": 60.63396, "loss": 0.76973, "time": 0.40187} -{"mode": "train", "epoch": 29, "iter": 36050, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.42292, "decode.acc_seg": 65.64495, "aux.loss_seg": 0.26902, "aux.acc_seg": 59.70572, "loss": 0.69194, "time": 0.397} -{"mode": "train", "epoch": 29, "iter": 36100, "lr": 5e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.45928, "decode.acc_seg": 66.88042, "aux.loss_seg": 0.29824, "aux.acc_seg": 59.81184, "loss": 0.75753, "time": 0.39746} -{"mode": "train", "epoch": 29, "iter": 36150, "lr": 5e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.44332, "decode.acc_seg": 66.01483, "aux.loss_seg": 0.28621, "aux.acc_seg": 59.21238, "loss": 0.72953, "time": 0.39702} -{"mode": "train", "epoch": 29, "iter": 36200, "lr": 5e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.46294, "decode.acc_seg": 65.7615, "aux.loss_seg": 0.2893, "aux.acc_seg": 59.17546, "loss": 0.75224, "time": 0.3999} -{"mode": "train", "epoch": 29, "iter": 36250, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.46043, "decode.acc_seg": 68.68101, "aux.loss_seg": 0.29711, "aux.acc_seg": 61.77992, "loss": 0.75754, "time": 0.39676} -{"mode": "train", "epoch": 29, "iter": 36300, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.4664, "decode.acc_seg": 65.72344, "aux.loss_seg": 0.28942, "aux.acc_seg": 59.66727, "loss": 0.75583, "time": 0.39833} -{"mode": "train", "epoch": 29, "iter": 36350, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.43966, "decode.acc_seg": 67.47446, "aux.loss_seg": 0.29035, "aux.acc_seg": 60.25991, "loss": 0.73, "time": 0.40054} -{"mode": "train", "epoch": 29, "iter": 36400, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.43813, "decode.acc_seg": 66.47574, "aux.loss_seg": 0.28542, "aux.acc_seg": 59.66657, "loss": 0.72354, "time": 0.39914} -{"mode": "train", "epoch": 29, "iter": 36450, "lr": 5e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.42274, "decode.acc_seg": 66.96816, "aux.loss_seg": 0.27631, "aux.acc_seg": 60.49201, "loss": 0.69905, "time": 0.39883} -{"mode": "train", "epoch": 29, "iter": 36500, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.44608, "decode.acc_seg": 67.89469, "aux.loss_seg": 0.2841, "aux.acc_seg": 61.77825, "loss": 0.73017, "time": 0.40982} -{"mode": "train", "epoch": 29, "iter": 36550, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.43382, "decode.acc_seg": 67.35734, "aux.loss_seg": 0.28073, "aux.acc_seg": 60.86373, "loss": 0.71455, "time": 0.39988} -{"mode": "train", "epoch": 29, "iter": 36600, "lr": 5e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.44652, "decode.acc_seg": 66.36993, "aux.loss_seg": 0.28472, "aux.acc_seg": 60.11274, "loss": 0.73124, "time": 0.39468} -{"mode": "train", "epoch": 30, "iter": 36650, "lr": 5e-05, "memory": 17837, "data_time": 0.24481, "decode.loss_seg": 0.42883, "decode.acc_seg": 67.5765, "aux.loss_seg": 0.27945, "aux.acc_seg": 61.07306, "loss": 0.70829, "time": 0.62975} -{"mode": "train", "epoch": 30, "iter": 36700, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.42171, "decode.acc_seg": 68.60355, "aux.loss_seg": 0.27946, "aux.acc_seg": 62.10766, "loss": 0.70117, "time": 0.39406} -{"mode": "train", "epoch": 30, "iter": 36750, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.45812, "decode.acc_seg": 65.92129, "aux.loss_seg": 0.28668, "aux.acc_seg": 59.40208, "loss": 0.74481, "time": 0.39572} -{"mode": "train", "epoch": 30, "iter": 36800, "lr": 5e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.44513, "decode.acc_seg": 66.04319, "aux.loss_seg": 0.28442, "aux.acc_seg": 59.65087, "loss": 0.72955, "time": 0.39557} -{"mode": "train", "epoch": 30, "iter": 36850, "lr": 5e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.41677, "decode.acc_seg": 68.4247, "aux.loss_seg": 0.28013, "aux.acc_seg": 61.21037, "loss": 0.6969, "time": 0.39561} -{"mode": "train", "epoch": 30, "iter": 36900, "lr": 5e-05, "memory": 17837, "data_time": 0.00666, "decode.loss_seg": 0.41737, "decode.acc_seg": 66.40146, "aux.loss_seg": 0.27582, "aux.acc_seg": 59.83946, "loss": 0.69319, "time": 0.39853} -{"mode": "train", "epoch": 30, "iter": 36950, "lr": 5e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.42367, "decode.acc_seg": 67.32695, "aux.loss_seg": 0.2823, "aux.acc_seg": 60.14555, "loss": 0.70597, "time": 0.39805} -{"mode": "train", "epoch": 30, "iter": 37000, "lr": 5e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.44369, "decode.acc_seg": 67.2581, "aux.loss_seg": 0.28696, "aux.acc_seg": 60.54695, "loss": 0.73065, "time": 0.40148} -{"mode": "train", "epoch": 30, "iter": 37050, "lr": 5e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.4397, "decode.acc_seg": 66.48322, "aux.loss_seg": 0.2825, "aux.acc_seg": 60.10652, "loss": 0.72221, "time": 0.40243} -{"mode": "train", "epoch": 30, "iter": 37100, "lr": 5e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.43748, "decode.acc_seg": 67.88467, "aux.loss_seg": 0.28247, "aux.acc_seg": 61.16366, "loss": 0.71995, "time": 0.39486} -{"mode": "train", "epoch": 30, "iter": 37150, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.44403, "decode.acc_seg": 67.22997, "aux.loss_seg": 0.28226, "aux.acc_seg": 60.44621, "loss": 0.7263, "time": 0.40492} -{"mode": "train", "epoch": 30, "iter": 37200, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.43396, "decode.acc_seg": 67.40559, "aux.loss_seg": 0.28948, "aux.acc_seg": 60.40442, "loss": 0.72344, "time": 0.4005} -{"mode": "train", "epoch": 30, "iter": 37250, "lr": 5e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.44737, "decode.acc_seg": 67.3059, "aux.loss_seg": 0.30532, "aux.acc_seg": 60.10806, "loss": 0.75269, "time": 0.40103} -{"mode": "train", "epoch": 30, "iter": 37300, "lr": 5e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.44837, "decode.acc_seg": 67.17969, "aux.loss_seg": 0.28358, "aux.acc_seg": 60.97552, "loss": 0.73195, "time": 0.40174} -{"mode": "train", "epoch": 30, "iter": 37350, "lr": 5e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.44077, "decode.acc_seg": 66.05051, "aux.loss_seg": 0.28596, "aux.acc_seg": 59.78309, "loss": 0.72673, "time": 0.39701} -{"mode": "train", "epoch": 30, "iter": 37400, "lr": 5e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.4271, "decode.acc_seg": 67.82187, "aux.loss_seg": 0.2763, "aux.acc_seg": 61.4517, "loss": 0.7034, "time": 0.40971} -{"mode": "train", "epoch": 30, "iter": 37450, "lr": 5e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.43781, "decode.acc_seg": 67.1734, "aux.loss_seg": 0.28412, "aux.acc_seg": 60.40132, "loss": 0.72193, "time": 0.41094} -{"mode": "train", "epoch": 30, "iter": 37500, "lr": 5e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.44067, "decode.acc_seg": 68.51108, "aux.loss_seg": 0.28202, "aux.acc_seg": 61.9832, "loss": 0.72269, "time": 0.3934} -{"mode": "train", "epoch": 30, "iter": 37550, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.42376, "decode.acc_seg": 67.26958, "aux.loss_seg": 0.2795, "aux.acc_seg": 60.27248, "loss": 0.70325, "time": 0.39664} -{"mode": "train", "epoch": 30, "iter": 37600, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.40519, "decode.acc_seg": 66.69842, "aux.loss_seg": 0.26457, "aux.acc_seg": 60.21773, "loss": 0.66975, "time": 0.39562} -{"mode": "train", "epoch": 30, "iter": 37650, "lr": 5e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.42711, "decode.acc_seg": 67.8293, "aux.loss_seg": 0.28819, "aux.acc_seg": 60.69563, "loss": 0.71531, "time": 0.39848} -{"mode": "train", "epoch": 30, "iter": 37700, "lr": 5e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.44441, "decode.acc_seg": 67.42231, "aux.loss_seg": 0.29025, "aux.acc_seg": 60.73903, "loss": 0.73466, "time": 0.39942} -{"mode": "train", "epoch": 30, "iter": 37750, "lr": 5e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.43192, "decode.acc_seg": 68.6433, "aux.loss_seg": 0.28206, "aux.acc_seg": 61.98807, "loss": 0.71398, "time": 0.40031} -{"mode": "train", "epoch": 30, "iter": 37800, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.4503, "decode.acc_seg": 66.97344, "aux.loss_seg": 0.27894, "aux.acc_seg": 61.21295, "loss": 0.72924, "time": 0.39417} -{"mode": "train", "epoch": 30, "iter": 37850, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.44627, "decode.acc_seg": 67.56731, "aux.loss_seg": 0.28787, "aux.acc_seg": 61.13084, "loss": 0.73414, "time": 0.40015} -{"mode": "train", "epoch": 31, "iter": 37900, "lr": 5e-05, "memory": 17837, "data_time": 0.24397, "decode.loss_seg": 0.43985, "decode.acc_seg": 66.99955, "aux.loss_seg": 0.27917, "aux.acc_seg": 60.91448, "loss": 0.71902, "time": 0.63341} -{"mode": "train", "epoch": 31, "iter": 37950, "lr": 5e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.40845, "decode.acc_seg": 67.54619, "aux.loss_seg": 0.27192, "aux.acc_seg": 61.03744, "loss": 0.68037, "time": 0.41284} -{"mode": "train", "epoch": 31, "iter": 38000, "lr": 5e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.42701, "decode.acc_seg": 68.44321, "aux.loss_seg": 0.28213, "aux.acc_seg": 61.58496, "loss": 0.70914, "time": 0.40005} -{"mode": "train", "epoch": 31, "iter": 38050, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.41479, "decode.acc_seg": 67.19508, "aux.loss_seg": 0.27664, "aux.acc_seg": 60.36508, "loss": 0.69143, "time": 0.39683} -{"mode": "train", "epoch": 31, "iter": 38100, "lr": 5e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.43002, "decode.acc_seg": 67.39441, "aux.loss_seg": 0.27961, "aux.acc_seg": 60.61463, "loss": 0.70963, "time": 0.39359} -{"mode": "train", "epoch": 31, "iter": 38150, "lr": 5e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.40669, "decode.acc_seg": 66.44334, "aux.loss_seg": 0.27279, "aux.acc_seg": 59.13859, "loss": 0.67948, "time": 0.39323} -{"mode": "train", "epoch": 31, "iter": 38200, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.43357, "decode.acc_seg": 66.33132, "aux.loss_seg": 0.27538, "aux.acc_seg": 60.3756, "loss": 0.70895, "time": 0.3981} -{"mode": "train", "epoch": 31, "iter": 38250, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.43239, "decode.acc_seg": 67.56175, "aux.loss_seg": 0.28816, "aux.acc_seg": 60.44465, "loss": 0.72055, "time": 0.39709} -{"mode": "train", "epoch": 31, "iter": 38300, "lr": 5e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.44028, "decode.acc_seg": 68.46481, "aux.loss_seg": 0.28455, "aux.acc_seg": 61.70298, "loss": 0.72483, "time": 0.39376} -{"mode": "train", "epoch": 31, "iter": 38350, "lr": 5e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.40828, "decode.acc_seg": 67.60812, "aux.loss_seg": 0.26458, "aux.acc_seg": 61.46296, "loss": 0.67287, "time": 0.39631} -{"mode": "train", "epoch": 31, "iter": 38400, "lr": 5e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.43124, "decode.acc_seg": 66.05026, "aux.loss_seg": 0.28266, "aux.acc_seg": 59.18718, "loss": 0.7139, "time": 0.41213} -{"mode": "train", "epoch": 31, "iter": 38450, "lr": 5e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.44559, "decode.acc_seg": 66.67767, "aux.loss_seg": 0.27782, "aux.acc_seg": 60.75925, "loss": 0.72341, "time": 0.40449} -{"mode": "train", "epoch": 31, "iter": 38500, "lr": 5e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.42496, "decode.acc_seg": 68.37359, "aux.loss_seg": 0.28128, "aux.acc_seg": 61.16187, "loss": 0.70624, "time": 0.39507} -{"mode": "train", "epoch": 31, "iter": 38550, "lr": 5e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.44863, "decode.acc_seg": 66.59736, "aux.loss_seg": 0.28406, "aux.acc_seg": 60.13994, "loss": 0.73269, "time": 0.39657} -{"mode": "train", "epoch": 31, "iter": 38600, "lr": 5e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.43483, "decode.acc_seg": 65.96286, "aux.loss_seg": 0.27901, "aux.acc_seg": 59.27434, "loss": 0.71385, "time": 0.39359} -{"mode": "train", "epoch": 31, "iter": 38650, "lr": 5e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.41146, "decode.acc_seg": 67.47727, "aux.loss_seg": 0.27806, "aux.acc_seg": 60.48363, "loss": 0.68951, "time": 0.40394} -{"mode": "train", "epoch": 31, "iter": 38700, "lr": 5e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.44262, "decode.acc_seg": 67.42313, "aux.loss_seg": 0.28132, "aux.acc_seg": 61.25015, "loss": 0.72394, "time": 0.39511} -{"mode": "train", "epoch": 31, "iter": 38750, "lr": 5e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.43155, "decode.acc_seg": 66.4143, "aux.loss_seg": 0.27369, "aux.acc_seg": 60.35633, "loss": 0.70525, "time": 0.39518} -{"mode": "train", "epoch": 31, "iter": 38800, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.42281, "decode.acc_seg": 68.17828, "aux.loss_seg": 0.27194, "aux.acc_seg": 62.34983, "loss": 0.69476, "time": 0.39681} -{"mode": "train", "epoch": 31, "iter": 38850, "lr": 5e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.45138, "decode.acc_seg": 66.49725, "aux.loss_seg": 0.29159, "aux.acc_seg": 59.96622, "loss": 0.74297, "time": 0.39519} -{"mode": "train", "epoch": 31, "iter": 38900, "lr": 5e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.4434, "decode.acc_seg": 67.86732, "aux.loss_seg": 0.28399, "aux.acc_seg": 61.10339, "loss": 0.72739, "time": 0.40985} -{"mode": "train", "epoch": 31, "iter": 38950, "lr": 5e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.42136, "decode.acc_seg": 68.13935, "aux.loss_seg": 0.27095, "aux.acc_seg": 61.9263, "loss": 0.69231, "time": 0.39776} -{"mode": "train", "epoch": 31, "iter": 39000, "lr": 5e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.44777, "decode.acc_seg": 66.21006, "aux.loss_seg": 0.28385, "aux.acc_seg": 59.97276, "loss": 0.73162, "time": 0.40173} -{"mode": "train", "epoch": 31, "iter": 39050, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.41371, "decode.acc_seg": 67.62696, "aux.loss_seg": 0.27258, "aux.acc_seg": 60.68096, "loss": 0.6863, "time": 0.40126} -{"mode": "train", "epoch": 31, "iter": 39100, "lr": 5e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.43965, "decode.acc_seg": 67.37831, "aux.loss_seg": 0.27833, "aux.acc_seg": 61.01109, "loss": 0.71799, "time": 0.40161} -{"mode": "train", "epoch": 31, "iter": 39150, "lr": 5e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.41719, "decode.acc_seg": 66.71907, "aux.loss_seg": 0.27745, "aux.acc_seg": 60.0617, "loss": 0.69464, "time": 0.42308} -{"mode": "train", "epoch": 32, "iter": 39200, "lr": 5e-05, "memory": 17837, "data_time": 0.24347, "decode.loss_seg": 0.41607, "decode.acc_seg": 68.25152, "aux.loss_seg": 0.27012, "aux.acc_seg": 61.61908, "loss": 0.6862, "time": 0.63726} -{"mode": "train", "epoch": 32, "iter": 39250, "lr": 5e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.43939, "decode.acc_seg": 66.65289, "aux.loss_seg": 0.28052, "aux.acc_seg": 60.30584, "loss": 0.71991, "time": 0.39701} -{"mode": "train", "epoch": 32, "iter": 39300, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.45536, "decode.acc_seg": 67.57415, "aux.loss_seg": 0.2973, "aux.acc_seg": 60.75391, "loss": 0.75266, "time": 0.39846} -{"mode": "train", "epoch": 32, "iter": 39350, "lr": 5e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.42972, "decode.acc_seg": 67.07812, "aux.loss_seg": 0.28354, "aux.acc_seg": 59.91282, "loss": 0.71326, "time": 0.3984} -{"mode": "train", "epoch": 32, "iter": 39400, "lr": 5e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.41395, "decode.acc_seg": 67.60526, "aux.loss_seg": 0.27552, "aux.acc_seg": 60.99885, "loss": 0.68947, "time": 0.39808} -{"mode": "train", "epoch": 32, "iter": 39450, "lr": 5e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.43255, "decode.acc_seg": 68.34655, "aux.loss_seg": 0.28886, "aux.acc_seg": 61.19365, "loss": 0.72141, "time": 0.39653} -{"mode": "train", "epoch": 32, "iter": 39500, "lr": 5e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.41536, "decode.acc_seg": 67.85623, "aux.loss_seg": 0.28028, "aux.acc_seg": 60.66141, "loss": 0.69564, "time": 0.39809} -{"mode": "train", "epoch": 32, "iter": 39550, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.42414, "decode.acc_seg": 68.56937, "aux.loss_seg": 0.27778, "aux.acc_seg": 62.26802, "loss": 0.70192, "time": 0.39865} -{"mode": "train", "epoch": 32, "iter": 39600, "lr": 5e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.40811, "decode.acc_seg": 67.90161, "aux.loss_seg": 0.2743, "aux.acc_seg": 60.5713, "loss": 0.6824, "time": 0.39376} -{"mode": "train", "epoch": 32, "iter": 39650, "lr": 5e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.44703, "decode.acc_seg": 67.10715, "aux.loss_seg": 0.29539, "aux.acc_seg": 59.61743, "loss": 0.74242, "time": 0.39623} -{"mode": "train", "epoch": 32, "iter": 39700, "lr": 5e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.41622, "decode.acc_seg": 67.21089, "aux.loss_seg": 0.26544, "aux.acc_seg": 61.19516, "loss": 0.68166, "time": 0.41445} -{"mode": "train", "epoch": 32, "iter": 39750, "lr": 5e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.41073, "decode.acc_seg": 68.47357, "aux.loss_seg": 0.26932, "aux.acc_seg": 61.82479, "loss": 0.68004, "time": 0.40094} -{"mode": "train", "epoch": 32, "iter": 39800, "lr": 5e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.4104, "decode.acc_seg": 68.45877, "aux.loss_seg": 0.26947, "aux.acc_seg": 62.25731, "loss": 0.67986, "time": 0.39489} -{"mode": "train", "epoch": 32, "iter": 39850, "lr": 5e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.4287, "decode.acc_seg": 68.64444, "aux.loss_seg": 0.28393, "aux.acc_seg": 61.81837, "loss": 0.71263, "time": 0.41496} -{"mode": "train", "epoch": 32, "iter": 39900, "lr": 5e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.40853, "decode.acc_seg": 67.54095, "aux.loss_seg": 0.27247, "aux.acc_seg": 60.57108, "loss": 0.68099, "time": 0.40251} -{"mode": "train", "epoch": 32, "iter": 39950, "lr": 5e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.42098, "decode.acc_seg": 67.18301, "aux.loss_seg": 0.27147, "aux.acc_seg": 60.86028, "loss": 0.69245, "time": 0.39832} -{"mode": "train", "epoch": 32, "iter": 40000, "lr": 5e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.42963, "decode.acc_seg": 67.72689, "aux.loss_seg": 0.27876, "aux.acc_seg": 61.22237, "loss": 0.70839, "time": 0.39619} -{"mode": "train", "epoch": 32, "iter": 40050, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.41687, "decode.acc_seg": 66.26763, "aux.loss_seg": 0.2749, "aux.acc_seg": 59.74463, "loss": 0.69178, "time": 0.39994} -{"mode": "train", "epoch": 32, "iter": 40100, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.41573, "decode.acc_seg": 68.00362, "aux.loss_seg": 0.27784, "aux.acc_seg": 60.81329, "loss": 0.69357, "time": 0.39755} -{"mode": "train", "epoch": 32, "iter": 40150, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.43872, "decode.acc_seg": 67.88767, "aux.loss_seg": 0.28656, "aux.acc_seg": 61.26065, "loss": 0.72527, "time": 0.39807} -{"mode": "train", "epoch": 32, "iter": 40200, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.43321, "decode.acc_seg": 67.38944, "aux.loss_seg": 0.27404, "aux.acc_seg": 61.24858, "loss": 0.70724, "time": 0.40137} -{"mode": "train", "epoch": 32, "iter": 40250, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.44555, "decode.acc_seg": 67.13815, "aux.loss_seg": 0.28978, "aux.acc_seg": 60.36391, "loss": 0.73533, "time": 0.40642} -{"mode": "train", "epoch": 32, "iter": 40300, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.42383, "decode.acc_seg": 65.45291, "aux.loss_seg": 0.27108, "aux.acc_seg": 59.58058, "loss": 0.69491, "time": 0.40132} -{"mode": "train", "epoch": 32, "iter": 40350, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.44423, "decode.acc_seg": 67.76447, "aux.loss_seg": 0.27511, "aux.acc_seg": 61.9864, "loss": 0.71934, "time": 0.39569} -{"mode": "train", "epoch": 32, "iter": 40400, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.42837, "decode.acc_seg": 68.1587, "aux.loss_seg": 0.29318, "aux.acc_seg": 60.2486, "loss": 0.72155, "time": 0.39725} -{"mode": "train", "epoch": 33, "iter": 40450, "lr": 4e-05, "memory": 17837, "data_time": 0.24421, "decode.loss_seg": 0.42671, "decode.acc_seg": 68.31133, "aux.loss_seg": 0.28661, "aux.acc_seg": 60.78603, "loss": 0.71332, "time": 0.63227} -{"mode": "train", "epoch": 33, "iter": 40500, "lr": 4e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.42712, "decode.acc_seg": 66.50127, "aux.loss_seg": 0.27521, "aux.acc_seg": 60.10226, "loss": 0.70233, "time": 0.39471} -{"mode": "train", "epoch": 33, "iter": 40550, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.42178, "decode.acc_seg": 67.11565, "aux.loss_seg": 0.28174, "aux.acc_seg": 60.12301, "loss": 0.70352, "time": 0.3959} -{"mode": "train", "epoch": 33, "iter": 40600, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.42685, "decode.acc_seg": 67.67827, "aux.loss_seg": 0.28568, "aux.acc_seg": 60.05257, "loss": 0.71253, "time": 0.39857} -{"mode": "train", "epoch": 33, "iter": 40650, "lr": 4e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.42503, "decode.acc_seg": 68.05573, "aux.loss_seg": 0.27148, "aux.acc_seg": 61.83936, "loss": 0.69651, "time": 0.39645} -{"mode": "train", "epoch": 33, "iter": 40700, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.41836, "decode.acc_seg": 68.28647, "aux.loss_seg": 0.27961, "aux.acc_seg": 61.18114, "loss": 0.69796, "time": 0.39556} -{"mode": "train", "epoch": 33, "iter": 40750, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.43251, "decode.acc_seg": 67.73146, "aux.loss_seg": 0.28174, "aux.acc_seg": 61.30322, "loss": 0.71426, "time": 0.40371} -{"mode": "train", "epoch": 33, "iter": 40800, "lr": 4e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.41796, "decode.acc_seg": 68.28729, "aux.loss_seg": 0.27573, "aux.acc_seg": 61.52368, "loss": 0.69369, "time": 0.41775} -{"mode": "train", "epoch": 33, "iter": 40850, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.40347, "decode.acc_seg": 66.631, "aux.loss_seg": 0.27222, "aux.acc_seg": 59.62425, "loss": 0.67569, "time": 0.39442} -{"mode": "train", "epoch": 33, "iter": 40900, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.41399, "decode.acc_seg": 68.00547, "aux.loss_seg": 0.26849, "aux.acc_seg": 61.53717, "loss": 0.68247, "time": 0.39658} -{"mode": "train", "epoch": 33, "iter": 40950, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.40428, "decode.acc_seg": 69.14339, "aux.loss_seg": 0.27078, "aux.acc_seg": 62.25703, "loss": 0.67506, "time": 0.40062} -{"mode": "train", "epoch": 33, "iter": 41000, "lr": 4e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.42492, "decode.acc_seg": 66.88687, "aux.loss_seg": 0.27518, "aux.acc_seg": 60.30637, "loss": 0.7001, "time": 0.41469} -{"mode": "train", "epoch": 33, "iter": 41050, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.41201, "decode.acc_seg": 68.29438, "aux.loss_seg": 0.26841, "aux.acc_seg": 62.00013, "loss": 0.68042, "time": 0.41689} -{"mode": "train", "epoch": 33, "iter": 41100, "lr": 4e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.40935, "decode.acc_seg": 67.97988, "aux.loss_seg": 0.26706, "aux.acc_seg": 61.62018, "loss": 0.67641, "time": 0.40669} -{"mode": "train", "epoch": 33, "iter": 41150, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.41099, "decode.acc_seg": 68.40829, "aux.loss_seg": 0.27904, "aux.acc_seg": 61.00729, "loss": 0.69004, "time": 0.39801} -{"mode": "train", "epoch": 33, "iter": 41200, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.42384, "decode.acc_seg": 67.02053, "aux.loss_seg": 0.27778, "aux.acc_seg": 60.07685, "loss": 0.70162, "time": 0.39225} -{"mode": "train", "epoch": 33, "iter": 41250, "lr": 4e-05, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.43003, "decode.acc_seg": 66.88602, "aux.loss_seg": 0.27057, "aux.acc_seg": 60.85043, "loss": 0.7006, "time": 0.40175} -{"mode": "train", "epoch": 33, "iter": 41300, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.40473, "decode.acc_seg": 67.59917, "aux.loss_seg": 0.26817, "aux.acc_seg": 60.81375, "loss": 0.6729, "time": 0.39446} -{"mode": "train", "epoch": 33, "iter": 41350, "lr": 4e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.43368, "decode.acc_seg": 66.39373, "aux.loss_seg": 0.28602, "aux.acc_seg": 59.63172, "loss": 0.7197, "time": 0.40432} -{"mode": "train", "epoch": 33, "iter": 41400, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.45893, "decode.acc_seg": 66.29771, "aux.loss_seg": 0.29479, "aux.acc_seg": 59.45635, "loss": 0.75373, "time": 0.39639} -{"mode": "train", "epoch": 33, "iter": 41450, "lr": 4e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.43931, "decode.acc_seg": 68.40468, "aux.loss_seg": 0.27971, "aux.acc_seg": 61.8462, "loss": 0.71901, "time": 0.39779} -{"mode": "train", "epoch": 33, "iter": 41500, "lr": 4e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.42578, "decode.acc_seg": 66.91823, "aux.loss_seg": 0.27701, "aux.acc_seg": 60.40381, "loss": 0.70279, "time": 0.40161} -{"mode": "train", "epoch": 33, "iter": 41550, "lr": 4e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.43031, "decode.acc_seg": 69.19984, "aux.loss_seg": 0.27935, "aux.acc_seg": 62.5244, "loss": 0.70965, "time": 0.40107} -{"mode": "train", "epoch": 33, "iter": 41600, "lr": 4e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.44564, "decode.acc_seg": 67.12869, "aux.loss_seg": 0.28683, "aux.acc_seg": 60.25892, "loss": 0.73247, "time": 0.40536} -{"mode": "train", "epoch": 33, "iter": 41650, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.42689, "decode.acc_seg": 68.4722, "aux.loss_seg": 0.27827, "aux.acc_seg": 61.71421, "loss": 0.70516, "time": 0.40217} -{"mode": "train", "epoch": 34, "iter": 41700, "lr": 4e-05, "memory": 17837, "data_time": 0.24737, "decode.loss_seg": 0.43332, "decode.acc_seg": 67.12493, "aux.loss_seg": 0.27525, "aux.acc_seg": 60.62083, "loss": 0.70856, "time": 0.63765} -{"mode": "train", "epoch": 34, "iter": 41750, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.42601, "decode.acc_seg": 67.36883, "aux.loss_seg": 0.28431, "aux.acc_seg": 60.08168, "loss": 0.71031, "time": 0.39671} -{"mode": "train", "epoch": 34, "iter": 41800, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.40602, "decode.acc_seg": 67.07389, "aux.loss_seg": 0.26127, "aux.acc_seg": 61.1607, "loss": 0.66729, "time": 0.39505} -{"mode": "train", "epoch": 34, "iter": 41850, "lr": 4e-05, "memory": 17837, "data_time": 0.00688, "decode.loss_seg": 0.41798, "decode.acc_seg": 68.46155, "aux.loss_seg": 0.27599, "aux.acc_seg": 61.51472, "loss": 0.69397, "time": 0.39818} -{"mode": "train", "epoch": 34, "iter": 41900, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.3784, "decode.acc_seg": 68.37047, "aux.loss_seg": 0.2636, "aux.acc_seg": 61.5459, "loss": 0.642, "time": 0.39743} -{"mode": "train", "epoch": 34, "iter": 41950, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.40655, "decode.acc_seg": 67.8922, "aux.loss_seg": 0.27192, "aux.acc_seg": 61.14739, "loss": 0.67847, "time": 0.40839} -{"mode": "train", "epoch": 34, "iter": 42000, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.3942, "decode.acc_seg": 68.28544, "aux.loss_seg": 0.27159, "aux.acc_seg": 60.6964, "loss": 0.66579, "time": 0.40923} -{"mode": "train", "epoch": 34, "iter": 42050, "lr": 4e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.38071, "decode.acc_seg": 68.51381, "aux.loss_seg": 0.26197, "aux.acc_seg": 61.72574, "loss": 0.64269, "time": 0.41642} -{"mode": "train", "epoch": 34, "iter": 42100, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.39828, "decode.acc_seg": 68.70048, "aux.loss_seg": 0.26974, "aux.acc_seg": 62.12144, "loss": 0.66802, "time": 0.40742} -{"mode": "train", "epoch": 34, "iter": 42150, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.39948, "decode.acc_seg": 67.93312, "aux.loss_seg": 0.26244, "aux.acc_seg": 61.68782, "loss": 0.66192, "time": 0.40117} -{"mode": "train", "epoch": 34, "iter": 42200, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.39604, "decode.acc_seg": 68.35779, "aux.loss_seg": 0.26424, "aux.acc_seg": 61.57658, "loss": 0.66028, "time": 0.39681} -{"mode": "train", "epoch": 34, "iter": 42250, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.39588, "decode.acc_seg": 68.80611, "aux.loss_seg": 0.27275, "aux.acc_seg": 61.38558, "loss": 0.66863, "time": 0.3935} -{"mode": "train", "epoch": 34, "iter": 42300, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.42395, "decode.acc_seg": 66.56792, "aux.loss_seg": 0.27436, "aux.acc_seg": 60.19581, "loss": 0.69831, "time": 0.3965} -{"mode": "train", "epoch": 34, "iter": 42350, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.4068, "decode.acc_seg": 67.54611, "aux.loss_seg": 0.27282, "aux.acc_seg": 60.84121, "loss": 0.67962, "time": 0.40157} -{"mode": "train", "epoch": 34, "iter": 42400, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.41249, "decode.acc_seg": 67.39169, "aux.loss_seg": 0.27621, "aux.acc_seg": 60.49411, "loss": 0.68871, "time": 0.39019} -{"mode": "train", "epoch": 34, "iter": 42450, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.42613, "decode.acc_seg": 68.27747, "aux.loss_seg": 0.27718, "aux.acc_seg": 61.82141, "loss": 0.70331, "time": 0.39197} -{"mode": "train", "epoch": 34, "iter": 42500, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.39681, "decode.acc_seg": 67.27301, "aux.loss_seg": 0.26048, "aux.acc_seg": 61.10122, "loss": 0.6573, "time": 0.39788} -{"mode": "train", "epoch": 34, "iter": 42550, "lr": 4e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.40555, "decode.acc_seg": 68.64164, "aux.loss_seg": 0.26978, "aux.acc_seg": 61.98857, "loss": 0.67533, "time": 0.40298} -{"mode": "train", "epoch": 34, "iter": 42600, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.44244, "decode.acc_seg": 66.90409, "aux.loss_seg": 0.27701, "aux.acc_seg": 60.35119, "loss": 0.71945, "time": 0.40252} -{"mode": "train", "epoch": 34, "iter": 42650, "lr": 4e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.40958, "decode.acc_seg": 68.49925, "aux.loss_seg": 0.27623, "aux.acc_seg": 61.36778, "loss": 0.68581, "time": 0.4015} -{"mode": "train", "epoch": 34, "iter": 42700, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.40906, "decode.acc_seg": 69.1463, "aux.loss_seg": 0.2667, "aux.acc_seg": 62.54008, "loss": 0.67576, "time": 0.40022} -{"mode": "train", "epoch": 34, "iter": 42750, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.40969, "decode.acc_seg": 66.04485, "aux.loss_seg": 0.26988, "aux.acc_seg": 59.58096, "loss": 0.67957, "time": 0.41106} -{"mode": "train", "epoch": 34, "iter": 42800, "lr": 4e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.4334, "decode.acc_seg": 67.71968, "aux.loss_seg": 0.28182, "aux.acc_seg": 61.02792, "loss": 0.71522, "time": 0.40563} -{"mode": "train", "epoch": 34, "iter": 42850, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.40418, "decode.acc_seg": 68.25687, "aux.loss_seg": 0.26853, "aux.acc_seg": 61.23116, "loss": 0.67271, "time": 0.40618} -{"mode": "train", "epoch": 34, "iter": 42900, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.40063, "decode.acc_seg": 66.94715, "aux.loss_seg": 0.25957, "aux.acc_seg": 60.88452, "loss": 0.6602, "time": 0.39788} -{"mode": "train", "epoch": 35, "iter": 42950, "lr": 4e-05, "memory": 17837, "data_time": 0.25118, "decode.loss_seg": 0.42705, "decode.acc_seg": 67.06864, "aux.loss_seg": 0.27786, "aux.acc_seg": 60.61, "loss": 0.70491, "time": 0.6519} -{"mode": "train", "epoch": 35, "iter": 43000, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.37582, "decode.acc_seg": 68.83206, "aux.loss_seg": 0.26003, "aux.acc_seg": 61.75649, "loss": 0.63585, "time": 0.3975} -{"mode": "train", "epoch": 35, "iter": 43050, "lr": 4e-05, "memory": 17837, "data_time": 0.00687, "decode.loss_seg": 0.39622, "decode.acc_seg": 69.27311, "aux.loss_seg": 0.26817, "aux.acc_seg": 62.04324, "loss": 0.66439, "time": 0.39403} -{"mode": "train", "epoch": 35, "iter": 43100, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.40674, "decode.acc_seg": 68.05973, "aux.loss_seg": 0.27641, "aux.acc_seg": 60.7736, "loss": 0.68315, "time": 0.39919} -{"mode": "train", "epoch": 35, "iter": 43150, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.42932, "decode.acc_seg": 67.0773, "aux.loss_seg": 0.28274, "aux.acc_seg": 60.28821, "loss": 0.71205, "time": 0.39448} -{"mode": "train", "epoch": 35, "iter": 43200, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.38483, "decode.acc_seg": 68.56118, "aux.loss_seg": 0.25568, "aux.acc_seg": 62.1083, "loss": 0.6405, "time": 0.40149} -{"mode": "train", "epoch": 35, "iter": 43250, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.39868, "decode.acc_seg": 65.75719, "aux.loss_seg": 0.27372, "aux.acc_seg": 58.52483, "loss": 0.6724, "time": 0.40281} -{"mode": "train", "epoch": 35, "iter": 43300, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.38427, "decode.acc_seg": 67.81407, "aux.loss_seg": 0.26908, "aux.acc_seg": 60.66359, "loss": 0.65335, "time": 0.40393} -{"mode": "train", "epoch": 35, "iter": 43350, "lr": 4e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.4046, "decode.acc_seg": 67.1673, "aux.loss_seg": 0.26687, "aux.acc_seg": 60.74656, "loss": 0.67146, "time": 0.41462} -{"mode": "train", "epoch": 35, "iter": 43400, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.40676, "decode.acc_seg": 68.01982, "aux.loss_seg": 0.26446, "aux.acc_seg": 61.71352, "loss": 0.67122, "time": 0.39952} -{"mode": "train", "epoch": 35, "iter": 43450, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.39878, "decode.acc_seg": 69.20634, "aux.loss_seg": 0.26881, "aux.acc_seg": 62.3378, "loss": 0.6676, "time": 0.39633} -{"mode": "train", "epoch": 35, "iter": 43500, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.39846, "decode.acc_seg": 67.33795, "aux.loss_seg": 0.265, "aux.acc_seg": 61.06421, "loss": 0.66346, "time": 0.39936} -{"mode": "train", "epoch": 35, "iter": 43550, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.41543, "decode.acc_seg": 68.01103, "aux.loss_seg": 0.27685, "aux.acc_seg": 60.94895, "loss": 0.69229, "time": 0.39806} -{"mode": "train", "epoch": 35, "iter": 43600, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.40119, "decode.acc_seg": 68.25726, "aux.loss_seg": 0.27665, "aux.acc_seg": 61.41202, "loss": 0.67784, "time": 0.39971} -{"mode": "train", "epoch": 35, "iter": 43650, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.41717, "decode.acc_seg": 67.35548, "aux.loss_seg": 0.27624, "aux.acc_seg": 60.39183, "loss": 0.69342, "time": 0.39873} -{"mode": "train", "epoch": 35, "iter": 43700, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.41416, "decode.acc_seg": 67.64238, "aux.loss_seg": 0.27313, "aux.acc_seg": 60.55686, "loss": 0.68728, "time": 0.39807} -{"mode": "train", "epoch": 35, "iter": 43750, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.3837, "decode.acc_seg": 68.23007, "aux.loss_seg": 0.25967, "aux.acc_seg": 61.72077, "loss": 0.64337, "time": 0.4022} -{"mode": "train", "epoch": 35, "iter": 43800, "lr": 4e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.40318, "decode.acc_seg": 68.84913, "aux.loss_seg": 0.26992, "aux.acc_seg": 61.87342, "loss": 0.6731, "time": 0.41896} -{"mode": "train", "epoch": 35, "iter": 43850, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.39644, "decode.acc_seg": 66.82496, "aux.loss_seg": 0.2617, "aux.acc_seg": 60.3081, "loss": 0.65814, "time": 0.40003} -{"mode": "train", "epoch": 35, "iter": 43900, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.39485, "decode.acc_seg": 67.42358, "aux.loss_seg": 0.26253, "aux.acc_seg": 60.59104, "loss": 0.65738, "time": 0.39568} -{"mode": "train", "epoch": 35, "iter": 43950, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.38679, "decode.acc_seg": 67.618, "aux.loss_seg": 0.25805, "aux.acc_seg": 61.1615, "loss": 0.64485, "time": 0.39185} -{"mode": "train", "epoch": 35, "iter": 44000, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.41924, "decode.acc_seg": 66.78759, "aux.loss_seg": 0.26795, "aux.acc_seg": 60.67199, "loss": 0.68719, "time": 0.39154} -{"mode": "train", "epoch": 35, "iter": 44050, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.40878, "decode.acc_seg": 68.67027, "aux.loss_seg": 0.27228, "aux.acc_seg": 62.32037, "loss": 0.68106, "time": 0.39679} -{"mode": "train", "epoch": 35, "iter": 44100, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.43483, "decode.acc_seg": 66.74724, "aux.loss_seg": 0.28069, "aux.acc_seg": 60.19151, "loss": 0.71551, "time": 0.4067} -{"mode": "train", "epoch": 35, "iter": 44150, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.39682, "decode.acc_seg": 69.0214, "aux.loss_seg": 0.27432, "aux.acc_seg": 62.03231, "loss": 0.67114, "time": 0.39289} -{"mode": "train", "epoch": 35, "iter": 44200, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.42749, "decode.acc_seg": 67.90664, "aux.loss_seg": 0.2736, "aux.acc_seg": 61.86346, "loss": 0.70109, "time": 0.39305} -{"mode": "train", "epoch": 36, "iter": 44250, "lr": 4e-05, "memory": 17837, "data_time": 0.24837, "decode.loss_seg": 0.39527, "decode.acc_seg": 68.35403, "aux.loss_seg": 0.27431, "aux.acc_seg": 61.16387, "loss": 0.66958, "time": 0.64504} -{"mode": "train", "epoch": 36, "iter": 44300, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.39477, "decode.acc_seg": 67.23407, "aux.loss_seg": 0.26561, "aux.acc_seg": 60.53327, "loss": 0.66038, "time": 0.40299} -{"mode": "train", "epoch": 36, "iter": 44350, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.39921, "decode.acc_seg": 66.40744, "aux.loss_seg": 0.26659, "aux.acc_seg": 59.48332, "loss": 0.6658, "time": 0.41309} -{"mode": "train", "epoch": 36, "iter": 44400, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.40165, "decode.acc_seg": 67.72365, "aux.loss_seg": 0.27151, "aux.acc_seg": 60.79827, "loss": 0.67316, "time": 0.39465} -{"mode": "train", "epoch": 36, "iter": 44450, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.41477, "decode.acc_seg": 68.78453, "aux.loss_seg": 0.27324, "aux.acc_seg": 62.00912, "loss": 0.68801, "time": 0.39314} -{"mode": "train", "epoch": 36, "iter": 44500, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.39954, "decode.acc_seg": 67.74017, "aux.loss_seg": 0.27186, "aux.acc_seg": 60.45085, "loss": 0.67139, "time": 0.41522} -{"mode": "train", "epoch": 36, "iter": 44550, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.38809, "decode.acc_seg": 67.59616, "aux.loss_seg": 0.26087, "aux.acc_seg": 60.64778, "loss": 0.64896, "time": 0.39254} -{"mode": "train", "epoch": 36, "iter": 44600, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.3995, "decode.acc_seg": 68.01826, "aux.loss_seg": 0.26957, "aux.acc_seg": 61.67368, "loss": 0.66907, "time": 0.3937} -{"mode": "train", "epoch": 36, "iter": 44650, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.42861, "decode.acc_seg": 67.81335, "aux.loss_seg": 0.28032, "aux.acc_seg": 61.03707, "loss": 0.70893, "time": 0.41315} -{"mode": "train", "epoch": 36, "iter": 44700, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.41291, "decode.acc_seg": 68.96841, "aux.loss_seg": 0.2786, "aux.acc_seg": 61.66693, "loss": 0.69151, "time": 0.39744} -{"mode": "train", "epoch": 36, "iter": 44750, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.39055, "decode.acc_seg": 68.32781, "aux.loss_seg": 0.25815, "aux.acc_seg": 61.79079, "loss": 0.6487, "time": 0.39348} -{"mode": "train", "epoch": 36, "iter": 44800, "lr": 4e-05, "memory": 17837, "data_time": 0.00563, "decode.loss_seg": 0.39952, "decode.acc_seg": 67.90822, "aux.loss_seg": 0.27488, "aux.acc_seg": 60.49161, "loss": 0.6744, "time": 0.39597} -{"mode": "train", "epoch": 36, "iter": 44850, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.42573, "decode.acc_seg": 66.81257, "aux.loss_seg": 0.27689, "aux.acc_seg": 60.10254, "loss": 0.70262, "time": 0.39795} -{"mode": "train", "epoch": 36, "iter": 44900, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.42022, "decode.acc_seg": 67.4061, "aux.loss_seg": 0.27418, "aux.acc_seg": 60.83523, "loss": 0.6944, "time": 0.4005} -{"mode": "train", "epoch": 36, "iter": 44950, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.43404, "decode.acc_seg": 69.14535, "aux.loss_seg": 0.28671, "aux.acc_seg": 62.09366, "loss": 0.72074, "time": 0.41404} -{"mode": "train", "epoch": 36, "iter": 45000, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.40328, "decode.acc_seg": 67.75501, "aux.loss_seg": 0.27069, "aux.acc_seg": 60.66759, "loss": 0.67396, "time": 0.39541} -{"mode": "train", "epoch": 36, "iter": 45050, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.40305, "decode.acc_seg": 68.73043, "aux.loss_seg": 0.26317, "aux.acc_seg": 62.37269, "loss": 0.66622, "time": 0.40264} -{"mode": "train", "epoch": 36, "iter": 45100, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.40135, "decode.acc_seg": 67.32887, "aux.loss_seg": 0.25907, "aux.acc_seg": 61.19538, "loss": 0.66042, "time": 0.39529} -{"mode": "train", "epoch": 36, "iter": 45150, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.38625, "decode.acc_seg": 68.05856, "aux.loss_seg": 0.25608, "aux.acc_seg": 61.725, "loss": 0.64233, "time": 0.40146} -{"mode": "train", "epoch": 36, "iter": 45200, "lr": 4e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.39267, "decode.acc_seg": 67.14917, "aux.loss_seg": 0.26075, "aux.acc_seg": 60.97089, "loss": 0.65342, "time": 0.40088} -{"mode": "train", "epoch": 36, "iter": 45250, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.39042, "decode.acc_seg": 67.4483, "aux.loss_seg": 0.2632, "aux.acc_seg": 60.6155, "loss": 0.65362, "time": 0.4023} -{"mode": "train", "epoch": 36, "iter": 45300, "lr": 4e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.41782, "decode.acc_seg": 67.98262, "aux.loss_seg": 0.26086, "aux.acc_seg": 61.88985, "loss": 0.67868, "time": 0.39748} -{"mode": "train", "epoch": 36, "iter": 45350, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.41678, "decode.acc_seg": 67.10926, "aux.loss_seg": 0.27973, "aux.acc_seg": 60.4103, "loss": 0.69651, "time": 0.40642} -{"mode": "train", "epoch": 36, "iter": 45400, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.3957, "decode.acc_seg": 69.15466, "aux.loss_seg": 0.2598, "aux.acc_seg": 62.61297, "loss": 0.6555, "time": 0.39285} -{"mode": "train", "epoch": 36, "iter": 45450, "lr": 4e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.40452, "decode.acc_seg": 68.3237, "aux.loss_seg": 0.26735, "aux.acc_seg": 61.92316, "loss": 0.67187, "time": 0.39802} -{"mode": "train", "epoch": 37, "iter": 45500, "lr": 4e-05, "memory": 17837, "data_time": 0.24858, "decode.loss_seg": 0.40564, "decode.acc_seg": 70.04742, "aux.loss_seg": 0.27305, "aux.acc_seg": 62.95808, "loss": 0.67869, "time": 0.63411} -{"mode": "train", "epoch": 37, "iter": 45550, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.36558, "decode.acc_seg": 68.32156, "aux.loss_seg": 0.25288, "aux.acc_seg": 61.21847, "loss": 0.61846, "time": 0.3922} -{"mode": "train", "epoch": 37, "iter": 45600, "lr": 4e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.41202, "decode.acc_seg": 68.20042, "aux.loss_seg": 0.26683, "aux.acc_seg": 62.11611, "loss": 0.67884, "time": 0.39087} -{"mode": "train", "epoch": 37, "iter": 45650, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.38616, "decode.acc_seg": 67.45688, "aux.loss_seg": 0.25798, "aux.acc_seg": 60.93477, "loss": 0.64415, "time": 0.39749} -{"mode": "train", "epoch": 37, "iter": 45700, "lr": 4e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.38544, "decode.acc_seg": 67.07235, "aux.loss_seg": 0.26368, "aux.acc_seg": 60.37811, "loss": 0.64912, "time": 0.40893} -{"mode": "train", "epoch": 37, "iter": 45750, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.39801, "decode.acc_seg": 66.53301, "aux.loss_seg": 0.26759, "aux.acc_seg": 59.91695, "loss": 0.6656, "time": 0.39431} -{"mode": "train", "epoch": 37, "iter": 45800, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.38968, "decode.acc_seg": 67.90068, "aux.loss_seg": 0.26058, "aux.acc_seg": 61.4556, "loss": 0.65026, "time": 0.39424} -{"mode": "train", "epoch": 37, "iter": 45850, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.4113, "decode.acc_seg": 66.97206, "aux.loss_seg": 0.27135, "aux.acc_seg": 60.2289, "loss": 0.68265, "time": 0.39226} -{"mode": "train", "epoch": 37, "iter": 45900, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.41216, "decode.acc_seg": 70.07221, "aux.loss_seg": 0.27036, "aux.acc_seg": 63.70822, "loss": 0.68253, "time": 0.39463} -{"mode": "train", "epoch": 37, "iter": 45950, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.39713, "decode.acc_seg": 68.18045, "aux.loss_seg": 0.2667, "aux.acc_seg": 61.6402, "loss": 0.66384, "time": 0.39339} -{"mode": "train", "epoch": 37, "iter": 46000, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.38993, "decode.acc_seg": 67.41266, "aux.loss_seg": 0.25884, "aux.acc_seg": 61.23726, "loss": 0.64877, "time": 0.39586} -{"mode": "train", "epoch": 37, "iter": 46050, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.40371, "decode.acc_seg": 67.72717, "aux.loss_seg": 0.26552, "aux.acc_seg": 61.27075, "loss": 0.66923, "time": 0.41012} -{"mode": "train", "epoch": 37, "iter": 46100, "lr": 4e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.41749, "decode.acc_seg": 68.41204, "aux.loss_seg": 0.2758, "aux.acc_seg": 61.44677, "loss": 0.69329, "time": 0.41151} -{"mode": "train", "epoch": 37, "iter": 46150, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.42584, "decode.acc_seg": 68.78236, "aux.loss_seg": 0.28378, "aux.acc_seg": 61.55962, "loss": 0.70962, "time": 0.39533} -{"mode": "train", "epoch": 37, "iter": 46200, "lr": 4e-05, "memory": 17837, "data_time": 0.00556, "decode.loss_seg": 0.41324, "decode.acc_seg": 67.42039, "aux.loss_seg": 0.27472, "aux.acc_seg": 60.51653, "loss": 0.68795, "time": 0.39473} -{"mode": "train", "epoch": 37, "iter": 46250, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.39232, "decode.acc_seg": 68.44465, "aux.loss_seg": 0.26298, "aux.acc_seg": 61.21987, "loss": 0.6553, "time": 0.39434} -{"mode": "train", "epoch": 37, "iter": 46300, "lr": 4e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.39322, "decode.acc_seg": 69.00333, "aux.loss_seg": 0.26533, "aux.acc_seg": 62.53259, "loss": 0.65855, "time": 0.39398} -{"mode": "train", "epoch": 37, "iter": 46350, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.39219, "decode.acc_seg": 68.53259, "aux.loss_seg": 0.2725, "aux.acc_seg": 60.93305, "loss": 0.66469, "time": 0.39109} -{"mode": "train", "epoch": 37, "iter": 46400, "lr": 4e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.40327, "decode.acc_seg": 68.88542, "aux.loss_seg": 0.26395, "aux.acc_seg": 62.07123, "loss": 0.66722, "time": 0.39697} -{"mode": "train", "epoch": 37, "iter": 46450, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.40918, "decode.acc_seg": 68.15498, "aux.loss_seg": 0.26751, "aux.acc_seg": 61.44879, "loss": 0.67669, "time": 0.39177} -{"mode": "train", "epoch": 37, "iter": 46500, "lr": 4e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.41128, "decode.acc_seg": 67.97471, "aux.loss_seg": 0.2715, "aux.acc_seg": 61.22303, "loss": 0.68278, "time": 0.39387} -{"mode": "train", "epoch": 37, "iter": 46550, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.38738, "decode.acc_seg": 69.55285, "aux.loss_seg": 0.25975, "aux.acc_seg": 62.97793, "loss": 0.64713, "time": 0.39861} -{"mode": "train", "epoch": 37, "iter": 46600, "lr": 4e-05, "memory": 17837, "data_time": 0.00548, "decode.loss_seg": 0.39134, "decode.acc_seg": 69.52927, "aux.loss_seg": 0.26355, "aux.acc_seg": 62.76408, "loss": 0.65489, "time": 0.39225} -{"mode": "train", "epoch": 37, "iter": 46650, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.38458, "decode.acc_seg": 67.65808, "aux.loss_seg": 0.26537, "aux.acc_seg": 61.05791, "loss": 0.64995, "time": 0.39882} -{"mode": "train", "epoch": 37, "iter": 46700, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.39191, "decode.acc_seg": 67.47006, "aux.loss_seg": 0.26087, "aux.acc_seg": 60.72981, "loss": 0.65278, "time": 0.39926} -{"mode": "train", "epoch": 38, "iter": 46750, "lr": 4e-05, "memory": 17837, "data_time": 0.24031, "decode.loss_seg": 0.40963, "decode.acc_seg": 67.21395, "aux.loss_seg": 0.26247, "aux.acc_seg": 61.01904, "loss": 0.6721, "time": 0.63115} -{"mode": "train", "epoch": 38, "iter": 46800, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.41405, "decode.acc_seg": 67.39279, "aux.loss_seg": 0.27441, "aux.acc_seg": 60.44051, "loss": 0.68846, "time": 0.39636} -{"mode": "train", "epoch": 38, "iter": 46850, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.38532, "decode.acc_seg": 68.81094, "aux.loss_seg": 0.26047, "aux.acc_seg": 62.24793, "loss": 0.64579, "time": 0.3976} -{"mode": "train", "epoch": 38, "iter": 46900, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.40252, "decode.acc_seg": 68.67496, "aux.loss_seg": 0.26601, "aux.acc_seg": 61.49725, "loss": 0.66853, "time": 0.39806} -{"mode": "train", "epoch": 38, "iter": 46950, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.383, "decode.acc_seg": 68.16539, "aux.loss_seg": 0.26323, "aux.acc_seg": 61.30962, "loss": 0.64623, "time": 0.40566} -{"mode": "train", "epoch": 38, "iter": 47000, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.38317, "decode.acc_seg": 69.40251, "aux.loss_seg": 0.25443, "aux.acc_seg": 62.79939, "loss": 0.6376, "time": 0.39815} -{"mode": "train", "epoch": 38, "iter": 47050, "lr": 4e-05, "memory": 17837, "data_time": 0.0056, "decode.loss_seg": 0.40394, "decode.acc_seg": 67.02718, "aux.loss_seg": 0.26967, "aux.acc_seg": 60.11858, "loss": 0.67361, "time": 0.39948} -{"mode": "train", "epoch": 38, "iter": 47100, "lr": 4e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.39649, "decode.acc_seg": 70.09439, "aux.loss_seg": 0.26792, "aux.acc_seg": 63.16837, "loss": 0.66441, "time": 0.39522} -{"mode": "train", "epoch": 38, "iter": 47150, "lr": 4e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.38478, "decode.acc_seg": 67.75574, "aux.loss_seg": 0.25877, "aux.acc_seg": 61.3886, "loss": 0.64355, "time": 0.39608} -{"mode": "train", "epoch": 38, "iter": 47200, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.40746, "decode.acc_seg": 68.43883, "aux.loss_seg": 0.27877, "aux.acc_seg": 61.01519, "loss": 0.68623, "time": 0.39791} -{"mode": "train", "epoch": 38, "iter": 47250, "lr": 4e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.40307, "decode.acc_seg": 68.77673, "aux.loss_seg": 0.26429, "aux.acc_seg": 62.42844, "loss": 0.66736, "time": 0.39852} -{"mode": "train", "epoch": 38, "iter": 47300, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.38543, "decode.acc_seg": 68.59472, "aux.loss_seg": 0.25444, "aux.acc_seg": 62.33332, "loss": 0.63986, "time": 0.39996} -{"mode": "train", "epoch": 38, "iter": 47350, "lr": 4e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.39198, "decode.acc_seg": 67.52183, "aux.loss_seg": 0.26272, "aux.acc_seg": 61.26621, "loss": 0.6547, "time": 0.39913} -{"mode": "train", "epoch": 38, "iter": 47400, "lr": 4e-05, "memory": 17837, "data_time": 0.00545, "decode.loss_seg": 0.40319, "decode.acc_seg": 69.06204, "aux.loss_seg": 0.26534, "aux.acc_seg": 62.61785, "loss": 0.66853, "time": 0.39709} -{"mode": "train", "epoch": 38, "iter": 47450, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.40629, "decode.acc_seg": 67.9882, "aux.loss_seg": 0.267, "aux.acc_seg": 61.34235, "loss": 0.67329, "time": 0.39767} -{"mode": "train", "epoch": 38, "iter": 47500, "lr": 4e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.40435, "decode.acc_seg": 66.93597, "aux.loss_seg": 0.27069, "aux.acc_seg": 59.97613, "loss": 0.67504, "time": 0.39576} -{"mode": "train", "epoch": 38, "iter": 47550, "lr": 4e-05, "memory": 17837, "data_time": 0.00541, "decode.loss_seg": 0.38407, "decode.acc_seg": 69.0374, "aux.loss_seg": 0.25479, "aux.acc_seg": 62.45211, "loss": 0.63886, "time": 0.39305} -{"mode": "train", "epoch": 38, "iter": 47600, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.3837, "decode.acc_seg": 68.10314, "aux.loss_seg": 0.25294, "aux.acc_seg": 61.52713, "loss": 0.63664, "time": 0.39588} -{"mode": "train", "epoch": 38, "iter": 47650, "lr": 4e-05, "memory": 17837, "data_time": 0.00551, "decode.loss_seg": 0.38705, "decode.acc_seg": 67.52311, "aux.loss_seg": 0.26088, "aux.acc_seg": 60.80438, "loss": 0.64794, "time": 0.39411} -{"mode": "train", "epoch": 38, "iter": 47700, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.38773, "decode.acc_seg": 69.41597, "aux.loss_seg": 0.26104, "aux.acc_seg": 63.08373, "loss": 0.64877, "time": 0.39982} -{"mode": "train", "epoch": 38, "iter": 47750, "lr": 4e-05, "memory": 17837, "data_time": 0.0056, "decode.loss_seg": 0.39878, "decode.acc_seg": 67.77712, "aux.loss_seg": 0.27202, "aux.acc_seg": 60.6555, "loss": 0.6708, "time": 0.39571} -{"mode": "train", "epoch": 38, "iter": 47800, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.3855, "decode.acc_seg": 67.31556, "aux.loss_seg": 0.25747, "aux.acc_seg": 60.83672, "loss": 0.64297, "time": 0.39726} -{"mode": "train", "epoch": 38, "iter": 47850, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.39096, "decode.acc_seg": 67.82428, "aux.loss_seg": 0.27059, "aux.acc_seg": 60.88993, "loss": 0.66155, "time": 0.39905} -{"mode": "train", "epoch": 38, "iter": 47900, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.38163, "decode.acc_seg": 68.27534, "aux.loss_seg": 0.25428, "aux.acc_seg": 61.8887, "loss": 0.63591, "time": 0.40003} -{"mode": "train", "epoch": 38, "iter": 47950, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.38844, "decode.acc_seg": 69.6351, "aux.loss_seg": 0.26843, "aux.acc_seg": 62.33828, "loss": 0.65686, "time": 0.39987} -{"mode": "val", "epoch": 39, "iter": 48000, "lr": 4e-05, "mIoU": 0.4275, "mAcc": 0.5553, "aAcc": 0.8027, "IoU.wall": 0.7374, "IoU.building": 0.8112, "IoU.sky": 0.9357, "IoU.floor": 0.7813, "IoU.tree": 0.728, "IoU.ceiling": 0.8142, "IoU.road": 0.7927, "IoU.bed ": 0.8377, "IoU.windowpane": 0.5828, "IoU.grass": 0.6292, "IoU.cabinet": 0.5412, "IoU.sidewalk": 0.5877, "IoU.person": 0.7565, "IoU.earth": 0.3313, "IoU.door": 0.3671, "IoU.table": 0.4972, "IoU.mountain": 0.5339, "IoU.plant": 0.506, "IoU.curtain": 0.6676, "IoU.chair": 0.4687, "IoU.car": 0.8081, "IoU.water": 0.5518, "IoU.painting": 0.6636, "IoU.sofa": 0.5566, "IoU.shelf": 0.366, "IoU.house": 0.4937, "IoU.sea": 0.5773, "IoU.mirror": 0.5494, "IoU.rug": 0.6375, "IoU.field": 0.2823, "IoU.armchair": 0.3188, "IoU.seat": 0.5793, "IoU.fence": 0.3624, "IoU.desk": 0.4108, "IoU.rock": 0.4216, "IoU.wardrobe": 0.405, "IoU.lamp": 0.5171, "IoU.bathtub": 0.6583, "IoU.railing": 0.3476, "IoU.cushion": 0.4923, "IoU.base": 0.3023, "IoU.box": 0.227, "IoU.column": 0.405, "IoU.signboard": 0.3082, "IoU.chest of drawers": 0.3532, "IoU.counter": 0.2994, "IoU.sand": 0.3429, "IoU.sink": 0.6214, "IoU.skyscraper": 0.5526, "IoU.fireplace": NaN, "IoU.refrigerator": 0.5957, "IoU.grandstand": 0.4133, "IoU.path": 0.1927, "IoU.stairs": 0.2692, "IoU.runway": 0.7212, "IoU.case": 0.475, "IoU.pool table": 0.8694, "IoU.pillow": 0.4459, "IoU.screen door": 0.5216, "IoU.stairway": 0.2737, "IoU.river": 0.2236, "IoU.bridge": 0.5814, "IoU.bookcase": 0.3663, "IoU.blind": NaN, "IoU.coffee table": 0.4831, "IoU.toilet": 0.7839, "IoU.flower": 0.4091, "IoU.book": 0.4249, "IoU.hill": 0.0926, "IoU.bench": 0.3434, "IoU.countertop": 0.5005, "IoU.stove": 0.6631, "IoU.palm": 0.4537, "IoU.kitchen island": 0.2709, "IoU.computer": 0.624, "IoU.swivel chair": 0.3786, "IoU.boat": 0.3499, "IoU.bar": 0.4225, "IoU.arcade machine": 0.7015, "IoU.hovel": 0.4474, "IoU.bus": 0.7605, "IoU.towel": 0.5826, "IoU.light": 0.3802, "IoU.truck": 0.1278, "IoU.tower": 0.1764, "IoU.chandelier": 0.5902, "IoU.awning": 0.2341, "IoU.streetlight": 0.1718, "IoU.booth": 0.5075, "IoU.television receiver": NaN, "IoU.airplane": 0.517, "IoU.dirt track": 0.1129, "IoU.apparel": 0.2504, "IoU.pole": 0.099, "IoU.land": 0.0435, "IoU.bannister": 0.0067, "IoU.escalator": 0.2348, "IoU.ottoman": 0.3328, "IoU.bottle": NaN, "IoU.buffet": 0.4243, "IoU.poster": 0.2644, "IoU.stage": 0.1347, "IoU.van": 0.375, "IoU.ship": 0.573, "IoU.fountain": 0.3597, "IoU.conveyer belt": 0.4213, "IoU.canopy": 0.1695, "IoU.washer": 0.6335, "IoU.plaything": 0.2014, "IoU.swimming pool": 0.5194, "IoU.stool": 0.2864, "IoU.barrel": 0.4247, "IoU.basket": 0.2157, "IoU.waterfall": 0.6276, "IoU.tent": 0.8295, "IoU.bag": 0.0601, "IoU.minibike": 0.68, "IoU.cradle": NaN, "IoU.oven": 0.2565, "IoU.ball": 0.2227, "IoU.food": 0.4426, "IoU.step": 0.0343, "IoU.tank": 0.4911, "IoU.trade name": 0.1182, "IoU.microwave": 0.7092, "IoU.pot": 0.465, "IoU.animal": NaN, "IoU.bicycle": 0.4987, "IoU.lake": 0.4367, "IoU.dishwasher": 0.4484, "IoU.screen": 0.59, "IoU.blanket": 0.0472, "IoU.sculpture": 0.4762, "IoU.hood": 0.4486, "IoU.sconce": 0.2554, "IoU.vase": 0.2605, "IoU.traffic light": 0.1658, "IoU.tray": 0.0301, "IoU.ashcan": 0.2847, "IoU.fan": 0.5111, "IoU.pier": 0.2939, "IoU.crt screen": 0.0383, "IoU.plate": 0.5149, "IoU.monitor": 0.0942, "IoU.bulletin board": 0.3203, "IoU.shower": 0.0, "IoU.radiator": 0.5633, "IoU.glass": 0.0761, "IoU.clock": 0.1675, "IoU.flag": 0.3494, "Acc.wall": 0.8573, "Acc.building": 0.9218, "Acc.sky": 0.965, "Acc.floor": 0.8866, "Acc.tree": 0.8723, "Acc.ceiling": 0.9105, "Acc.road": 0.893, "Acc.bed ": 0.9418, "Acc.windowpane": 0.754, "Acc.grass": 0.7966, "Acc.cabinet": 0.6612, "Acc.sidewalk": 0.7379, "Acc.person": 0.8709, "Acc.earth": 0.4471, "Acc.door": 0.4874, "Acc.table": 0.6559, "Acc.mountain": 0.6348, "Acc.plant": 0.6245, "Acc.curtain": 0.7815, "Acc.chair": 0.6004, "Acc.car": 0.9078, "Acc.water": 0.7373, "Acc.painting": 0.7944, "Acc.sofa": 0.7259, "Acc.shelf": 0.5423, "Acc.house": 0.6948, "Acc.sea": 0.8069, "Acc.mirror": 0.669, "Acc.rug": 0.7314, "Acc.field": 0.4785, "Acc.armchair": 0.4915, "Acc.seat": 0.8428, "Acc.fence": 0.5092, "Acc.desk": 0.6729, "Acc.rock": 0.646, "Acc.wardrobe": 0.6446, "Acc.lamp": 0.6577, "Acc.bathtub": 0.7563, "Acc.railing": 0.4411, "Acc.cushion": 0.7026, "Acc.base": 0.4128, "Acc.box": 0.2966, "Acc.column": 0.5121, "Acc.signboard": 0.4094, "Acc.chest of drawers": 0.5184, "Acc.counter": 0.4443, "Acc.sand": 0.4843, "Acc.sink": 0.7206, "Acc.skyscraper": 0.7193, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8393, "Acc.grandstand": 0.6897, "Acc.path": 0.3442, "Acc.stairs": 0.3265, "Acc.runway": 0.9229, "Acc.case": 0.6203, "Acc.pool table": 0.9424, "Acc.pillow": 0.5153, "Acc.screen door": 0.8308, "Acc.stairway": 0.4095, "Acc.river": 0.3897, "Acc.bridge": 0.8393, "Acc.bookcase": 0.5057, "Acc.blind": NaN, "Acc.coffee table": 0.7886, "Acc.toilet": 0.8528, "Acc.flower": 0.5448, "Acc.book": 0.5933, "Acc.hill": 0.2309, "Acc.bench": 0.4888, "Acc.countertop": 0.7206, "Acc.stove": 0.8082, "Acc.palm": 0.6657, "Acc.kitchen island": 0.6577, "Acc.computer": 0.7738, "Acc.swivel chair": 0.6281, "Acc.boat": 0.4916, "Acc.bar": 0.55, "Acc.arcade machine": 0.7703, "Acc.hovel": 0.4978, "Acc.bus": 0.9264, "Acc.towel": 0.6978, "Acc.light": 0.4003, "Acc.truck": 0.1573, "Acc.tower": 0.2642, "Acc.chandelier": 0.7408, "Acc.awning": 0.2784, "Acc.streetlight": 0.225, "Acc.booth": 0.5751, "Acc.television receiver": NaN, "Acc.airplane": 0.5972, "Acc.dirt track": 0.4185, "Acc.apparel": 0.3826, "Acc.pole": 0.1151, "Acc.land": 0.059, "Acc.bannister": 0.008, "Acc.escalator": 0.3532, "Acc.ottoman": 0.4322, "Acc.bottle": NaN, "Acc.buffet": 0.4571, "Acc.poster": 0.3035, "Acc.stage": 0.2734, "Acc.van": 0.5085, "Acc.ship": 0.9389, "Acc.fountain": 0.393, "Acc.conveyer belt": 0.9246, "Acc.canopy": 0.2622, "Acc.washer": 0.7002, "Acc.plaything": 0.2817, "Acc.swimming pool": 0.5648, "Acc.stool": 0.345, "Acc.barrel": 0.6395, "Acc.basket": 0.2467, "Acc.waterfall": 0.8363, "Acc.tent": 0.9924, "Acc.bag": 0.0673, "Acc.minibike": 0.8566, "Acc.cradle": NaN, "Acc.oven": 0.3425, "Acc.ball": 0.2267, "Acc.food": 0.5047, "Acc.step": 0.0378, "Acc.tank": 0.608, "Acc.trade name": 0.1216, "Acc.microwave": 0.8179, "Acc.pot": 0.5265, "Acc.animal": NaN, "Acc.bicycle": 0.726, "Acc.lake": 0.4547, "Acc.dishwasher": 0.6781, "Acc.screen": 0.8406, "Acc.blanket": 0.0507, "Acc.sculpture": 0.6142, "Acc.hood": 0.5677, "Acc.sconce": 0.2775, "Acc.vase": 0.3332, "Acc.traffic light": 0.2032, "Acc.tray": 0.0339, "Acc.ashcan": 0.363, "Acc.fan": 0.6819, "Acc.pier": 0.5435, "Acc.crt screen": 0.1116, "Acc.plate": 0.6848, "Acc.monitor": 0.1361, "Acc.bulletin board": 0.4033, "Acc.shower": 0.0, "Acc.radiator": 0.6674, "Acc.glass": 0.0798, "Acc.clock": 0.2086, "Acc.flag": 0.3912} -{"mode": "train", "epoch": 39, "iter": 48050, "lr": 4e-05, "memory": 17837, "data_time": 1.46516, "decode.loss_seg": 0.39638, "decode.acc_seg": 69.04454, "aux.loss_seg": 0.26887, "aux.acc_seg": 62.18186, "loss": 0.66525, "time": 1.86201} -{"mode": "train", "epoch": 39, "iter": 48100, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.39876, "decode.acc_seg": 67.31514, "aux.loss_seg": 0.26042, "aux.acc_seg": 60.81817, "loss": 0.65918, "time": 0.39575} -{"mode": "train", "epoch": 39, "iter": 48150, "lr": 4e-05, "memory": 17837, "data_time": 0.0054, "decode.loss_seg": 0.38134, "decode.acc_seg": 69.12698, "aux.loss_seg": 0.25598, "aux.acc_seg": 62.75093, "loss": 0.63732, "time": 0.40422} -{"mode": "train", "epoch": 39, "iter": 48200, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.39165, "decode.acc_seg": 68.17907, "aux.loss_seg": 0.27267, "aux.acc_seg": 61.00828, "loss": 0.66432, "time": 0.41232} -{"mode": "train", "epoch": 39, "iter": 48250, "lr": 4e-05, "memory": 17837, "data_time": 0.00527, "decode.loss_seg": 0.39234, "decode.acc_seg": 68.50017, "aux.loss_seg": 0.26788, "aux.acc_seg": 61.49424, "loss": 0.66023, "time": 0.39775} -{"mode": "train", "epoch": 39, "iter": 48300, "lr": 4e-05, "memory": 17837, "data_time": 0.0054, "decode.loss_seg": 0.40307, "decode.acc_seg": 69.37158, "aux.loss_seg": 0.27697, "aux.acc_seg": 61.85114, "loss": 0.68003, "time": 0.39478} -{"mode": "train", "epoch": 39, "iter": 48350, "lr": 4e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.37792, "decode.acc_seg": 68.19758, "aux.loss_seg": 0.26093, "aux.acc_seg": 61.15102, "loss": 0.63885, "time": 0.39826} -{"mode": "train", "epoch": 39, "iter": 48400, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.40215, "decode.acc_seg": 68.0272, "aux.loss_seg": 0.26282, "aux.acc_seg": 61.52961, "loss": 0.66497, "time": 0.39615} -{"mode": "train", "epoch": 39, "iter": 48450, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.37789, "decode.acc_seg": 70.05593, "aux.loss_seg": 0.26064, "aux.acc_seg": 63.20694, "loss": 0.63853, "time": 0.39498} -{"mode": "train", "epoch": 39, "iter": 48500, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.37945, "decode.acc_seg": 68.06155, "aux.loss_seg": 0.24706, "aux.acc_seg": 62.2297, "loss": 0.62651, "time": 0.3954} -{"mode": "train", "epoch": 39, "iter": 48550, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.40984, "decode.acc_seg": 67.1721, "aux.loss_seg": 0.26415, "aux.acc_seg": 60.76432, "loss": 0.674, "time": 0.39377} -{"mode": "train", "epoch": 39, "iter": 48600, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.41003, "decode.acc_seg": 67.93861, "aux.loss_seg": 0.2669, "aux.acc_seg": 61.0902, "loss": 0.67693, "time": 0.39889} -{"mode": "train", "epoch": 39, "iter": 48650, "lr": 4e-05, "memory": 17837, "data_time": 0.00547, "decode.loss_seg": 0.35704, "decode.acc_seg": 68.32753, "aux.loss_seg": 0.24905, "aux.acc_seg": 61.48847, "loss": 0.60609, "time": 0.39144} -{"mode": "train", "epoch": 39, "iter": 48700, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.37706, "decode.acc_seg": 68.08194, "aux.loss_seg": 0.25495, "aux.acc_seg": 61.65461, "loss": 0.63201, "time": 0.39718} -{"mode": "train", "epoch": 39, "iter": 48750, "lr": 4e-05, "memory": 17837, "data_time": 0.0054, "decode.loss_seg": 0.41397, "decode.acc_seg": 68.18155, "aux.loss_seg": 0.27262, "aux.acc_seg": 61.46571, "loss": 0.68659, "time": 0.40029} -{"mode": "train", "epoch": 39, "iter": 48800, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.39565, "decode.acc_seg": 69.12204, "aux.loss_seg": 0.27336, "aux.acc_seg": 62.11959, "loss": 0.66901, "time": 0.39254} -{"mode": "train", "epoch": 39, "iter": 48850, "lr": 4e-05, "memory": 17837, "data_time": 0.00554, "decode.loss_seg": 0.37857, "decode.acc_seg": 68.7472, "aux.loss_seg": 0.25975, "aux.acc_seg": 61.95651, "loss": 0.63832, "time": 0.39101} -{"mode": "train", "epoch": 39, "iter": 48900, "lr": 4e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.39223, "decode.acc_seg": 68.51862, "aux.loss_seg": 0.25814, "aux.acc_seg": 61.98652, "loss": 0.65037, "time": 0.39824} -{"mode": "train", "epoch": 39, "iter": 48950, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3705, "decode.acc_seg": 69.55301, "aux.loss_seg": 0.24767, "aux.acc_seg": 63.29931, "loss": 0.61817, "time": 0.39366} -{"mode": "train", "epoch": 39, "iter": 49000, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.41612, "decode.acc_seg": 70.27571, "aux.loss_seg": 0.28437, "aux.acc_seg": 62.7823, "loss": 0.70049, "time": 0.39189} -{"mode": "train", "epoch": 39, "iter": 49050, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.3965, "decode.acc_seg": 68.5746, "aux.loss_seg": 0.26426, "aux.acc_seg": 61.72634, "loss": 0.66077, "time": 0.39469} -{"mode": "train", "epoch": 39, "iter": 49100, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.39945, "decode.acc_seg": 67.60032, "aux.loss_seg": 0.26902, "aux.acc_seg": 60.83078, "loss": 0.66848, "time": 0.39262} -{"mode": "train", "epoch": 39, "iter": 49150, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.39258, "decode.acc_seg": 69.52495, "aux.loss_seg": 0.26682, "aux.acc_seg": 62.30928, "loss": 0.6594, "time": 0.40243} -{"mode": "train", "epoch": 39, "iter": 49200, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.38661, "decode.acc_seg": 68.41443, "aux.loss_seg": 0.25139, "aux.acc_seg": 62.23753, "loss": 0.638, "time": 0.40294} -{"mode": "train", "epoch": 39, "iter": 49250, "lr": 4e-05, "memory": 17837, "data_time": 0.00666, "decode.loss_seg": 0.3924, "decode.acc_seg": 68.3035, "aux.loss_seg": 0.27289, "aux.acc_seg": 60.82364, "loss": 0.66529, "time": 0.41857} -{"mode": "train", "epoch": 40, "iter": 49300, "lr": 4e-05, "memory": 17837, "data_time": 0.23848, "decode.loss_seg": 0.38385, "decode.acc_seg": 68.26541, "aux.loss_seg": 0.26136, "aux.acc_seg": 61.26213, "loss": 0.64521, "time": 0.63037} -{"mode": "train", "epoch": 40, "iter": 49350, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.38003, "decode.acc_seg": 68.18225, "aux.loss_seg": 0.25672, "aux.acc_seg": 61.7613, "loss": 0.63675, "time": 0.4096} -{"mode": "train", "epoch": 40, "iter": 49400, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.39274, "decode.acc_seg": 67.58483, "aux.loss_seg": 0.27193, "aux.acc_seg": 60.27585, "loss": 0.66468, "time": 0.39477} -{"mode": "train", "epoch": 40, "iter": 49450, "lr": 4e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.40261, "decode.acc_seg": 68.4338, "aux.loss_seg": 0.27497, "aux.acc_seg": 61.2383, "loss": 0.67758, "time": 0.39529} -{"mode": "train", "epoch": 40, "iter": 49500, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.39221, "decode.acc_seg": 65.96892, "aux.loss_seg": 0.26566, "aux.acc_seg": 59.09612, "loss": 0.65786, "time": 0.40206} -{"mode": "train", "epoch": 40, "iter": 49550, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.37791, "decode.acc_seg": 69.89359, "aux.loss_seg": 0.25578, "aux.acc_seg": 63.31719, "loss": 0.63369, "time": 0.40245} -{"mode": "train", "epoch": 40, "iter": 49600, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.37178, "decode.acc_seg": 68.93779, "aux.loss_seg": 0.25322, "aux.acc_seg": 62.41638, "loss": 0.625, "time": 0.39762} -{"mode": "train", "epoch": 40, "iter": 49650, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.37701, "decode.acc_seg": 67.36549, "aux.loss_seg": 0.25038, "aux.acc_seg": 61.19973, "loss": 0.62739, "time": 0.39406} -{"mode": "train", "epoch": 40, "iter": 49700, "lr": 4e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.38966, "decode.acc_seg": 68.44894, "aux.loss_seg": 0.25483, "aux.acc_seg": 62.62514, "loss": 0.64449, "time": 0.39485} -{"mode": "train", "epoch": 40, "iter": 49750, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.4023, "decode.acc_seg": 67.98775, "aux.loss_seg": 0.27247, "aux.acc_seg": 61.13711, "loss": 0.67478, "time": 0.40111} -{"mode": "train", "epoch": 40, "iter": 49800, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.37775, "decode.acc_seg": 69.75597, "aux.loss_seg": 0.26245, "aux.acc_seg": 62.42199, "loss": 0.6402, "time": 0.40225} -{"mode": "train", "epoch": 40, "iter": 49850, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.38559, "decode.acc_seg": 69.9635, "aux.loss_seg": 0.26462, "aux.acc_seg": 62.98551, "loss": 0.65021, "time": 0.39267} -{"mode": "train", "epoch": 40, "iter": 49900, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.38336, "decode.acc_seg": 68.49114, "aux.loss_seg": 0.26, "aux.acc_seg": 61.97652, "loss": 0.64336, "time": 0.39552} -{"mode": "train", "epoch": 40, "iter": 49950, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.39225, "decode.acc_seg": 69.22861, "aux.loss_seg": 0.26852, "aux.acc_seg": 61.97371, "loss": 0.66078, "time": 0.39994} -{"mode": "train", "epoch": 40, "iter": 50000, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.38087, "decode.acc_seg": 68.55774, "aux.loss_seg": 0.2541, "aux.acc_seg": 61.96461, "loss": 0.63497, "time": 0.39692} -{"mode": "train", "epoch": 40, "iter": 50050, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.38578, "decode.acc_seg": 69.80471, "aux.loss_seg": 0.26708, "aux.acc_seg": 63.20052, "loss": 0.65286, "time": 0.40071} -{"mode": "train", "epoch": 40, "iter": 50100, "lr": 4e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.37977, "decode.acc_seg": 69.69349, "aux.loss_seg": 0.25892, "aux.acc_seg": 62.65621, "loss": 0.63868, "time": 0.41124} -{"mode": "train", "epoch": 40, "iter": 50150, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.40101, "decode.acc_seg": 69.62249, "aux.loss_seg": 0.2659, "aux.acc_seg": 62.86439, "loss": 0.66691, "time": 0.40502} -{"mode": "train", "epoch": 40, "iter": 50200, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.37041, "decode.acc_seg": 69.79141, "aux.loss_seg": 0.24849, "aux.acc_seg": 63.39266, "loss": 0.61891, "time": 0.39993} -{"mode": "train", "epoch": 40, "iter": 50250, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.3593, "decode.acc_seg": 69.54696, "aux.loss_seg": 0.24336, "aux.acc_seg": 63.22898, "loss": 0.60266, "time": 0.39578} -{"mode": "train", "epoch": 40, "iter": 50300, "lr": 4e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.39351, "decode.acc_seg": 68.91986, "aux.loss_seg": 0.26483, "aux.acc_seg": 62.07312, "loss": 0.65834, "time": 0.40762} -{"mode": "train", "epoch": 40, "iter": 50350, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.40569, "decode.acc_seg": 68.13303, "aux.loss_seg": 0.26334, "aux.acc_seg": 61.97615, "loss": 0.66903, "time": 0.41436} -{"mode": "train", "epoch": 40, "iter": 50400, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.37617, "decode.acc_seg": 67.44222, "aux.loss_seg": 0.25721, "aux.acc_seg": 60.55151, "loss": 0.63338, "time": 0.39624} -{"mode": "train", "epoch": 40, "iter": 50450, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.39362, "decode.acc_seg": 68.6804, "aux.loss_seg": 0.27143, "aux.acc_seg": 61.41089, "loss": 0.66504, "time": 0.39825} -{"mode": "train", "epoch": 40, "iter": 50500, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.39394, "decode.acc_seg": 67.92971, "aux.loss_seg": 0.2634, "aux.acc_seg": 61.11122, "loss": 0.65734, "time": 0.40694} -{"mode": "train", "epoch": 41, "iter": 50550, "lr": 4e-05, "memory": 17837, "data_time": 0.24581, "decode.loss_seg": 0.37578, "decode.acc_seg": 68.54217, "aux.loss_seg": 0.26199, "aux.acc_seg": 61.55047, "loss": 0.63777, "time": 0.6347} -{"mode": "train", "epoch": 41, "iter": 50600, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.3701, "decode.acc_seg": 69.51389, "aux.loss_seg": 0.25404, "aux.acc_seg": 62.8047, "loss": 0.62414, "time": 0.40219} -{"mode": "train", "epoch": 41, "iter": 50650, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35971, "decode.acc_seg": 68.70959, "aux.loss_seg": 0.2493, "aux.acc_seg": 62.0737, "loss": 0.60901, "time": 0.40472} -{"mode": "train", "epoch": 41, "iter": 50700, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.37015, "decode.acc_seg": 69.20905, "aux.loss_seg": 0.25589, "aux.acc_seg": 62.34382, "loss": 0.62604, "time": 0.39559} -{"mode": "train", "epoch": 41, "iter": 50750, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.38346, "decode.acc_seg": 69.96174, "aux.loss_seg": 0.26332, "aux.acc_seg": 62.79492, "loss": 0.64678, "time": 0.4105} -{"mode": "train", "epoch": 41, "iter": 50800, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.37413, "decode.acc_seg": 69.54028, "aux.loss_seg": 0.26361, "aux.acc_seg": 62.17512, "loss": 0.63775, "time": 0.41652} -{"mode": "train", "epoch": 41, "iter": 50850, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.37943, "decode.acc_seg": 69.65695, "aux.loss_seg": 0.26242, "aux.acc_seg": 62.2891, "loss": 0.64185, "time": 0.40704} -{"mode": "train", "epoch": 41, "iter": 50900, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.37181, "decode.acc_seg": 69.93068, "aux.loss_seg": 0.2552, "aux.acc_seg": 62.95578, "loss": 0.62702, "time": 0.39418} -{"mode": "train", "epoch": 41, "iter": 50950, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.3772, "decode.acc_seg": 68.72414, "aux.loss_seg": 0.25985, "aux.acc_seg": 62.04007, "loss": 0.63705, "time": 0.39787} -{"mode": "train", "epoch": 41, "iter": 51000, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.38952, "decode.acc_seg": 69.08524, "aux.loss_seg": 0.26853, "aux.acc_seg": 62.072, "loss": 0.65805, "time": 0.39832} -{"mode": "train", "epoch": 41, "iter": 51050, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.38806, "decode.acc_seg": 67.97481, "aux.loss_seg": 0.26344, "aux.acc_seg": 61.29169, "loss": 0.65151, "time": 0.39777} -{"mode": "train", "epoch": 41, "iter": 51100, "lr": 4e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.37732, "decode.acc_seg": 68.63641, "aux.loss_seg": 0.26175, "aux.acc_seg": 61.56278, "loss": 0.63907, "time": 0.39396} -{"mode": "train", "epoch": 41, "iter": 51150, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.38272, "decode.acc_seg": 68.17342, "aux.loss_seg": 0.25813, "aux.acc_seg": 61.43126, "loss": 0.64085, "time": 0.3944} -{"mode": "train", "epoch": 41, "iter": 51200, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36845, "decode.acc_seg": 69.51491, "aux.loss_seg": 0.25341, "aux.acc_seg": 62.82245, "loss": 0.62186, "time": 0.3948} -{"mode": "train", "epoch": 41, "iter": 51250, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.37606, "decode.acc_seg": 71.13966, "aux.loss_seg": 0.26109, "aux.acc_seg": 63.76137, "loss": 0.63715, "time": 0.39787} -{"mode": "train", "epoch": 41, "iter": 51300, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.34548, "decode.acc_seg": 67.84675, "aux.loss_seg": 0.23085, "aux.acc_seg": 61.94886, "loss": 0.57633, "time": 0.39315} -{"mode": "train", "epoch": 41, "iter": 51350, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.38542, "decode.acc_seg": 69.49633, "aux.loss_seg": 0.25689, "aux.acc_seg": 62.97684, "loss": 0.64231, "time": 0.40178} -{"mode": "train", "epoch": 41, "iter": 51400, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.38522, "decode.acc_seg": 66.40663, "aux.loss_seg": 0.25976, "aux.acc_seg": 59.54964, "loss": 0.64498, "time": 0.39619} -{"mode": "train", "epoch": 41, "iter": 51450, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.37479, "decode.acc_seg": 69.56712, "aux.loss_seg": 0.25804, "aux.acc_seg": 62.20281, "loss": 0.63283, "time": 0.3962} -{"mode": "train", "epoch": 41, "iter": 51500, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.3982, "decode.acc_seg": 69.35508, "aux.loss_seg": 0.26892, "aux.acc_seg": 62.5902, "loss": 0.66713, "time": 0.4007} -{"mode": "train", "epoch": 41, "iter": 51550, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.39159, "decode.acc_seg": 67.49738, "aux.loss_seg": 0.2634, "aux.acc_seg": 60.74451, "loss": 0.65499, "time": 0.39569} -{"mode": "train", "epoch": 41, "iter": 51600, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.36132, "decode.acc_seg": 69.14413, "aux.loss_seg": 0.25294, "aux.acc_seg": 62.24201, "loss": 0.61426, "time": 0.39981} -{"mode": "train", "epoch": 41, "iter": 51650, "lr": 4e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.3991, "decode.acc_seg": 66.70306, "aux.loss_seg": 0.26475, "aux.acc_seg": 59.90679, "loss": 0.66385, "time": 0.40462} -{"mode": "train", "epoch": 41, "iter": 51700, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.39745, "decode.acc_seg": 67.88974, "aux.loss_seg": 0.26402, "aux.acc_seg": 61.08717, "loss": 0.66147, "time": 0.39294} -{"mode": "train", "epoch": 41, "iter": 51750, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.39102, "decode.acc_seg": 66.93216, "aux.loss_seg": 0.25687, "aux.acc_seg": 60.67971, "loss": 0.64789, "time": 0.39434} -{"mode": "train", "epoch": 42, "iter": 51800, "lr": 4e-05, "memory": 17837, "data_time": 0.24462, "decode.loss_seg": 0.40852, "decode.acc_seg": 68.91551, "aux.loss_seg": 0.26358, "aux.acc_seg": 62.75127, "loss": 0.6721, "time": 0.63513} -{"mode": "train", "epoch": 42, "iter": 51850, "lr": 4e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.3544, "decode.acc_seg": 70.33343, "aux.loss_seg": 0.2423, "aux.acc_seg": 64.10632, "loss": 0.5967, "time": 0.39646} -{"mode": "train", "epoch": 42, "iter": 51900, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.36819, "decode.acc_seg": 69.22368, "aux.loss_seg": 0.2572, "aux.acc_seg": 62.19805, "loss": 0.62539, "time": 0.39487} -{"mode": "train", "epoch": 42, "iter": 51950, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.35826, "decode.acc_seg": 67.9507, "aux.loss_seg": 0.24522, "aux.acc_seg": 61.11842, "loss": 0.60348, "time": 0.3964} -{"mode": "train", "epoch": 42, "iter": 52000, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.38764, "decode.acc_seg": 69.74723, "aux.loss_seg": 0.26891, "aux.acc_seg": 62.45294, "loss": 0.65655, "time": 0.39541} -{"mode": "train", "epoch": 42, "iter": 52050, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.38359, "decode.acc_seg": 68.29654, "aux.loss_seg": 0.25662, "aux.acc_seg": 62.18689, "loss": 0.64021, "time": 0.39806} -{"mode": "train", "epoch": 42, "iter": 52100, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.37003, "decode.acc_seg": 68.03999, "aux.loss_seg": 0.25427, "aux.acc_seg": 61.22247, "loss": 0.6243, "time": 0.3949} -{"mode": "train", "epoch": 42, "iter": 52150, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.37753, "decode.acc_seg": 70.08989, "aux.loss_seg": 0.25954, "aux.acc_seg": 62.92466, "loss": 0.63706, "time": 0.39979} -{"mode": "train", "epoch": 42, "iter": 52200, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.38388, "decode.acc_seg": 68.00438, "aux.loss_seg": 0.26532, "aux.acc_seg": 60.82287, "loss": 0.6492, "time": 0.41163} -{"mode": "train", "epoch": 42, "iter": 52250, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.36556, "decode.acc_seg": 67.77259, "aux.loss_seg": 0.25255, "aux.acc_seg": 60.83423, "loss": 0.61811, "time": 0.39948} -{"mode": "train", "epoch": 42, "iter": 52300, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.35818, "decode.acc_seg": 68.55349, "aux.loss_seg": 0.24948, "aux.acc_seg": 61.45574, "loss": 0.60766, "time": 0.39859} -{"mode": "train", "epoch": 42, "iter": 52350, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.384, "decode.acc_seg": 68.41141, "aux.loss_seg": 0.26313, "aux.acc_seg": 61.58839, "loss": 0.64713, "time": 0.40254} -{"mode": "train", "epoch": 42, "iter": 52400, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.36915, "decode.acc_seg": 70.39862, "aux.loss_seg": 0.25376, "aux.acc_seg": 63.53649, "loss": 0.62291, "time": 0.39341} -{"mode": "train", "epoch": 42, "iter": 52450, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.37918, "decode.acc_seg": 68.82617, "aux.loss_seg": 0.25705, "aux.acc_seg": 62.42569, "loss": 0.63623, "time": 0.39344} -{"mode": "train", "epoch": 42, "iter": 52500, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36607, "decode.acc_seg": 68.07153, "aux.loss_seg": 0.24357, "aux.acc_seg": 62.14546, "loss": 0.60964, "time": 0.39615} -{"mode": "train", "epoch": 42, "iter": 52550, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.36848, "decode.acc_seg": 68.33375, "aux.loss_seg": 0.25336, "aux.acc_seg": 61.40151, "loss": 0.62185, "time": 0.39438} -{"mode": "train", "epoch": 42, "iter": 52600, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.3433, "decode.acc_seg": 67.69958, "aux.loss_seg": 0.23493, "aux.acc_seg": 61.38128, "loss": 0.57823, "time": 0.39198} -{"mode": "train", "epoch": 42, "iter": 52650, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.37566, "decode.acc_seg": 69.85651, "aux.loss_seg": 0.26194, "aux.acc_seg": 62.75759, "loss": 0.6376, "time": 0.39933} -{"mode": "train", "epoch": 42, "iter": 52700, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3959, "decode.acc_seg": 68.85895, "aux.loss_seg": 0.26841, "aux.acc_seg": 61.52141, "loss": 0.66431, "time": 0.39877} -{"mode": "train", "epoch": 42, "iter": 52750, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.38012, "decode.acc_seg": 69.20031, "aux.loss_seg": 0.25856, "aux.acc_seg": 62.89083, "loss": 0.63869, "time": 0.41161} -{"mode": "train", "epoch": 42, "iter": 52800, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.37216, "decode.acc_seg": 68.5102, "aux.loss_seg": 0.25066, "aux.acc_seg": 62.04743, "loss": 0.62283, "time": 0.39531} -{"mode": "train", "epoch": 42, "iter": 52850, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.37741, "decode.acc_seg": 69.71246, "aux.loss_seg": 0.25507, "aux.acc_seg": 63.17114, "loss": 0.63249, "time": 0.40442} -{"mode": "train", "epoch": 42, "iter": 52900, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.42033, "decode.acc_seg": 69.39557, "aux.loss_seg": 0.27473, "aux.acc_seg": 62.79084, "loss": 0.69507, "time": 0.40367} -{"mode": "train", "epoch": 42, "iter": 52950, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.385, "decode.acc_seg": 66.91705, "aux.loss_seg": 0.25477, "aux.acc_seg": 60.88023, "loss": 0.63977, "time": 0.39682} -{"mode": "train", "epoch": 42, "iter": 53000, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.38668, "decode.acc_seg": 68.85928, "aux.loss_seg": 0.26294, "aux.acc_seg": 61.72953, "loss": 0.64962, "time": 0.40529} -{"mode": "train", "epoch": 43, "iter": 53050, "lr": 4e-05, "memory": 17837, "data_time": 0.24125, "decode.loss_seg": 0.38086, "decode.acc_seg": 69.14462, "aux.loss_seg": 0.25813, "aux.acc_seg": 62.48989, "loss": 0.63899, "time": 0.62837} -{"mode": "train", "epoch": 43, "iter": 53100, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.35298, "decode.acc_seg": 69.71239, "aux.loss_seg": 0.2523, "aux.acc_seg": 62.60453, "loss": 0.60529, "time": 0.39491} -{"mode": "train", "epoch": 43, "iter": 53150, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.35713, "decode.acc_seg": 70.17553, "aux.loss_seg": 0.24245, "aux.acc_seg": 63.71521, "loss": 0.59959, "time": 0.39645} -{"mode": "train", "epoch": 43, "iter": 53200, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.33356, "decode.acc_seg": 70.05771, "aux.loss_seg": 0.23638, "aux.acc_seg": 63.08243, "loss": 0.56994, "time": 0.40188} -{"mode": "train", "epoch": 43, "iter": 53250, "lr": 4e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.38256, "decode.acc_seg": 69.27669, "aux.loss_seg": 0.25935, "aux.acc_seg": 62.69657, "loss": 0.64192, "time": 0.41219} -{"mode": "train", "epoch": 43, "iter": 53300, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36432, "decode.acc_seg": 68.39481, "aux.loss_seg": 0.25403, "aux.acc_seg": 61.68851, "loss": 0.61835, "time": 0.39653} -{"mode": "train", "epoch": 43, "iter": 53350, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.37373, "decode.acc_seg": 67.89546, "aux.loss_seg": 0.25977, "aux.acc_seg": 61.04596, "loss": 0.6335, "time": 0.39555} -{"mode": "train", "epoch": 43, "iter": 53400, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.37292, "decode.acc_seg": 69.11715, "aux.loss_seg": 0.26183, "aux.acc_seg": 61.61702, "loss": 0.63475, "time": 0.41552} -{"mode": "train", "epoch": 43, "iter": 53450, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.3757, "decode.acc_seg": 69.35492, "aux.loss_seg": 0.26851, "aux.acc_seg": 61.86413, "loss": 0.64421, "time": 0.4022} -{"mode": "train", "epoch": 43, "iter": 53500, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.373, "decode.acc_seg": 68.49096, "aux.loss_seg": 0.2556, "aux.acc_seg": 61.83231, "loss": 0.6286, "time": 0.39412} -{"mode": "train", "epoch": 43, "iter": 53550, "lr": 4e-05, "memory": 17837, "data_time": 0.00702, "decode.loss_seg": 0.36597, "decode.acc_seg": 68.90171, "aux.loss_seg": 0.26055, "aux.acc_seg": 61.53824, "loss": 0.62652, "time": 0.42038} -{"mode": "train", "epoch": 43, "iter": 53600, "lr": 4e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.36294, "decode.acc_seg": 68.88481, "aux.loss_seg": 0.25283, "aux.acc_seg": 62.03003, "loss": 0.61577, "time": 0.40982} -{"mode": "train", "epoch": 43, "iter": 53650, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.35655, "decode.acc_seg": 68.98882, "aux.loss_seg": 0.24691, "aux.acc_seg": 62.37428, "loss": 0.60346, "time": 0.39779} -{"mode": "train", "epoch": 43, "iter": 53700, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.34424, "decode.acc_seg": 70.31882, "aux.loss_seg": 0.23246, "aux.acc_seg": 64.24973, "loss": 0.57669, "time": 0.40263} -{"mode": "train", "epoch": 43, "iter": 53750, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.35934, "decode.acc_seg": 69.74796, "aux.loss_seg": 0.24271, "aux.acc_seg": 63.15639, "loss": 0.60205, "time": 0.392} -{"mode": "train", "epoch": 43, "iter": 53800, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.39017, "decode.acc_seg": 68.55735, "aux.loss_seg": 0.26808, "aux.acc_seg": 61.89546, "loss": 0.65825, "time": 0.39366} -{"mode": "train", "epoch": 43, "iter": 53850, "lr": 4e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.39403, "decode.acc_seg": 69.34217, "aux.loss_seg": 0.2708, "aux.acc_seg": 62.09409, "loss": 0.66483, "time": 0.40109} -{"mode": "train", "epoch": 43, "iter": 53900, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.36775, "decode.acc_seg": 68.57645, "aux.loss_seg": 0.24636, "aux.acc_seg": 62.44585, "loss": 0.61411, "time": 0.39211} -{"mode": "train", "epoch": 43, "iter": 53950, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.37423, "decode.acc_seg": 69.50223, "aux.loss_seg": 0.25704, "aux.acc_seg": 62.62619, "loss": 0.63126, "time": 0.40072} -{"mode": "train", "epoch": 43, "iter": 54000, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.36771, "decode.acc_seg": 68.34114, "aux.loss_seg": 0.25289, "aux.acc_seg": 61.55321, "loss": 0.6206, "time": 0.40638} -{"mode": "train", "epoch": 43, "iter": 54050, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.39467, "decode.acc_seg": 67.56369, "aux.loss_seg": 0.27094, "aux.acc_seg": 60.30381, "loss": 0.66562, "time": 0.39897} -{"mode": "train", "epoch": 43, "iter": 54100, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.37449, "decode.acc_seg": 68.57965, "aux.loss_seg": 0.25721, "aux.acc_seg": 61.78273, "loss": 0.6317, "time": 0.40604} -{"mode": "train", "epoch": 43, "iter": 54150, "lr": 4e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.38649, "decode.acc_seg": 68.21012, "aux.loss_seg": 0.26464, "aux.acc_seg": 60.94329, "loss": 0.65113, "time": 0.40939} -{"mode": "train", "epoch": 43, "iter": 54200, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.39182, "decode.acc_seg": 68.25214, "aux.loss_seg": 0.25251, "aux.acc_seg": 62.59275, "loss": 0.64434, "time": 0.4015} -{"mode": "train", "epoch": 43, "iter": 54250, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.37214, "decode.acc_seg": 68.91707, "aux.loss_seg": 0.25304, "aux.acc_seg": 62.14671, "loss": 0.62517, "time": 0.40524} -{"mode": "train", "epoch": 43, "iter": 54300, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.397, "decode.acc_seg": 66.52666, "aux.loss_seg": 0.25608, "aux.acc_seg": 60.24205, "loss": 0.65308, "time": 0.39531} -{"mode": "train", "epoch": 44, "iter": 54350, "lr": 4e-05, "memory": 17837, "data_time": 0.242, "decode.loss_seg": 0.37837, "decode.acc_seg": 69.09564, "aux.loss_seg": 0.24766, "aux.acc_seg": 63.29543, "loss": 0.62603, "time": 0.62901} -{"mode": "train", "epoch": 44, "iter": 54400, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.38072, "decode.acc_seg": 69.20593, "aux.loss_seg": 0.25424, "aux.acc_seg": 62.39134, "loss": 0.63495, "time": 0.39519} -{"mode": "train", "epoch": 44, "iter": 54450, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.36655, "decode.acc_seg": 69.84471, "aux.loss_seg": 0.24387, "aux.acc_seg": 63.72207, "loss": 0.61042, "time": 0.40829} -{"mode": "train", "epoch": 44, "iter": 54500, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.36857, "decode.acc_seg": 69.49931, "aux.loss_seg": 0.26068, "aux.acc_seg": 62.3723, "loss": 0.62925, "time": 0.41338} -{"mode": "train", "epoch": 44, "iter": 54550, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.37349, "decode.acc_seg": 69.09173, "aux.loss_seg": 0.25314, "aux.acc_seg": 62.57942, "loss": 0.62663, "time": 0.41058} -{"mode": "train", "epoch": 44, "iter": 54600, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.35322, "decode.acc_seg": 69.26731, "aux.loss_seg": 0.23956, "aux.acc_seg": 63.00239, "loss": 0.59277, "time": 0.41344} -{"mode": "train", "epoch": 44, "iter": 54650, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.36346, "decode.acc_seg": 68.36228, "aux.loss_seg": 0.25188, "aux.acc_seg": 61.69428, "loss": 0.61533, "time": 0.40999} -{"mode": "train", "epoch": 44, "iter": 54700, "lr": 4e-05, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.39788, "decode.acc_seg": 69.20683, "aux.loss_seg": 0.25519, "aux.acc_seg": 62.60337, "loss": 0.65307, "time": 0.39639} -{"mode": "train", "epoch": 44, "iter": 54750, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.37221, "decode.acc_seg": 69.04008, "aux.loss_seg": 0.25544, "aux.acc_seg": 62.26136, "loss": 0.62765, "time": 0.39391} -{"mode": "train", "epoch": 44, "iter": 54800, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.37513, "decode.acc_seg": 68.92075, "aux.loss_seg": 0.25968, "aux.acc_seg": 61.92434, "loss": 0.63481, "time": 0.393} -{"mode": "train", "epoch": 44, "iter": 54850, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.37008, "decode.acc_seg": 68.01765, "aux.loss_seg": 0.25473, "aux.acc_seg": 61.25239, "loss": 0.62481, "time": 0.39318} -{"mode": "train", "epoch": 44, "iter": 54900, "lr": 4e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.36252, "decode.acc_seg": 67.79276, "aux.loss_seg": 0.24602, "aux.acc_seg": 61.30296, "loss": 0.60854, "time": 0.39982} -{"mode": "train", "epoch": 44, "iter": 54950, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.3725, "decode.acc_seg": 68.42162, "aux.loss_seg": 0.25598, "aux.acc_seg": 61.13718, "loss": 0.62848, "time": 0.40691} -{"mode": "train", "epoch": 44, "iter": 55000, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.36328, "decode.acc_seg": 68.18258, "aux.loss_seg": 0.25169, "aux.acc_seg": 61.35588, "loss": 0.61497, "time": 0.41256} -{"mode": "train", "epoch": 44, "iter": 55050, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.35361, "decode.acc_seg": 69.60387, "aux.loss_seg": 0.24578, "aux.acc_seg": 62.73207, "loss": 0.59938, "time": 0.40511} -{"mode": "train", "epoch": 44, "iter": 55100, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.34808, "decode.acc_seg": 69.82738, "aux.loss_seg": 0.24003, "aux.acc_seg": 63.22391, "loss": 0.58811, "time": 0.40341} -{"mode": "train", "epoch": 44, "iter": 55150, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.36879, "decode.acc_seg": 69.04303, "aux.loss_seg": 0.26245, "aux.acc_seg": 61.76247, "loss": 0.63124, "time": 0.39652} -{"mode": "train", "epoch": 44, "iter": 55200, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.41579, "decode.acc_seg": 68.42012, "aux.loss_seg": 0.27923, "aux.acc_seg": 61.24851, "loss": 0.69502, "time": 0.39723} -{"mode": "train", "epoch": 44, "iter": 55250, "lr": 4e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3898, "decode.acc_seg": 68.11983, "aux.loss_seg": 0.26589, "aux.acc_seg": 61.29435, "loss": 0.65569, "time": 0.39893} -{"mode": "train", "epoch": 44, "iter": 55300, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.38455, "decode.acc_seg": 68.54131, "aux.loss_seg": 0.25314, "aux.acc_seg": 62.18011, "loss": 0.6377, "time": 0.40273} -{"mode": "train", "epoch": 44, "iter": 55350, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.35508, "decode.acc_seg": 70.30281, "aux.loss_seg": 0.24635, "aux.acc_seg": 63.42671, "loss": 0.60143, "time": 0.40674} -{"mode": "train", "epoch": 44, "iter": 55400, "lr": 4e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.36897, "decode.acc_seg": 67.97948, "aux.loss_seg": 0.25717, "aux.acc_seg": 60.97712, "loss": 0.62614, "time": 0.40551} -{"mode": "train", "epoch": 44, "iter": 55450, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.38168, "decode.acc_seg": 68.97829, "aux.loss_seg": 0.26867, "aux.acc_seg": 61.82977, "loss": 0.65035, "time": 0.40514} -{"mode": "train", "epoch": 44, "iter": 55500, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.3519, "decode.acc_seg": 68.5427, "aux.loss_seg": 0.24392, "aux.acc_seg": 62.32802, "loss": 0.59582, "time": 0.39346} -{"mode": "train", "epoch": 44, "iter": 55550, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.38396, "decode.acc_seg": 70.02617, "aux.loss_seg": 0.26292, "aux.acc_seg": 63.11836, "loss": 0.64687, "time": 0.39847} -{"mode": "train", "epoch": 45, "iter": 55600, "lr": 4e-05, "memory": 17837, "data_time": 0.24413, "decode.loss_seg": 0.341, "decode.acc_seg": 69.4059, "aux.loss_seg": 0.23726, "aux.acc_seg": 63.04953, "loss": 0.57826, "time": 0.63376} -{"mode": "train", "epoch": 45, "iter": 55650, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.35071, "decode.acc_seg": 69.18803, "aux.loss_seg": 0.24531, "aux.acc_seg": 62.6234, "loss": 0.59601, "time": 0.4015} -{"mode": "train", "epoch": 45, "iter": 55700, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.37159, "decode.acc_seg": 70.42736, "aux.loss_seg": 0.25476, "aux.acc_seg": 63.8492, "loss": 0.62635, "time": 0.39086} -{"mode": "train", "epoch": 45, "iter": 55750, "lr": 4e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.35543, "decode.acc_seg": 68.39583, "aux.loss_seg": 0.24705, "aux.acc_seg": 61.81924, "loss": 0.60248, "time": 0.40459} -{"mode": "train", "epoch": 45, "iter": 55800, "lr": 4e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.3576, "decode.acc_seg": 68.77522, "aux.loss_seg": 0.24717, "aux.acc_seg": 62.2001, "loss": 0.60477, "time": 0.40042} -{"mode": "train", "epoch": 45, "iter": 55850, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.36057, "decode.acc_seg": 69.09532, "aux.loss_seg": 0.25283, "aux.acc_seg": 62.66064, "loss": 0.61339, "time": 0.39315} -{"mode": "train", "epoch": 45, "iter": 55900, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.34881, "decode.acc_seg": 68.14627, "aux.loss_seg": 0.24099, "aux.acc_seg": 61.58642, "loss": 0.5898, "time": 0.39472} -{"mode": "train", "epoch": 45, "iter": 55950, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.35504, "decode.acc_seg": 68.3209, "aux.loss_seg": 0.24825, "aux.acc_seg": 61.24742, "loss": 0.60328, "time": 0.39755} -{"mode": "train", "epoch": 45, "iter": 56000, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.36357, "decode.acc_seg": 69.25217, "aux.loss_seg": 0.24811, "aux.acc_seg": 62.62854, "loss": 0.61168, "time": 0.3996} -{"mode": "train", "epoch": 45, "iter": 56050, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.37325, "decode.acc_seg": 69.25816, "aux.loss_seg": 0.26531, "aux.acc_seg": 62.00403, "loss": 0.63857, "time": 0.41377} -{"mode": "train", "epoch": 45, "iter": 56100, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.37725, "decode.acc_seg": 71.22055, "aux.loss_seg": 0.25682, "aux.acc_seg": 64.41842, "loss": 0.63406, "time": 0.39536} -{"mode": "train", "epoch": 45, "iter": 56150, "lr": 4e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.36619, "decode.acc_seg": 68.8723, "aux.loss_seg": 0.25742, "aux.acc_seg": 61.69027, "loss": 0.62361, "time": 0.41087} -{"mode": "train", "epoch": 45, "iter": 56200, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.35081, "decode.acc_seg": 69.51723, "aux.loss_seg": 0.24698, "aux.acc_seg": 62.82414, "loss": 0.59779, "time": 0.40372} -{"mode": "train", "epoch": 45, "iter": 56250, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.36358, "decode.acc_seg": 69.93831, "aux.loss_seg": 0.25646, "aux.acc_seg": 63.40787, "loss": 0.62004, "time": 0.39077} -{"mode": "train", "epoch": 45, "iter": 56300, "lr": 4e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.33788, "decode.acc_seg": 68.48576, "aux.loss_seg": 0.24606, "aux.acc_seg": 61.29839, "loss": 0.58394, "time": 0.41036} -{"mode": "train", "epoch": 45, "iter": 56350, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.36135, "decode.acc_seg": 69.2884, "aux.loss_seg": 0.25033, "aux.acc_seg": 62.82536, "loss": 0.61168, "time": 0.40353} -{"mode": "train", "epoch": 45, "iter": 56400, "lr": 4e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.34728, "decode.acc_seg": 70.41389, "aux.loss_seg": 0.24535, "aux.acc_seg": 63.82077, "loss": 0.59263, "time": 0.39953} -{"mode": "train", "epoch": 45, "iter": 56450, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.36976, "decode.acc_seg": 69.88037, "aux.loss_seg": 0.2493, "aux.acc_seg": 63.18821, "loss": 0.61905, "time": 0.39447} -{"mode": "train", "epoch": 45, "iter": 56500, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.34837, "decode.acc_seg": 69.17354, "aux.loss_seg": 0.23967, "aux.acc_seg": 62.6908, "loss": 0.58805, "time": 0.39356} -{"mode": "train", "epoch": 45, "iter": 56550, "lr": 4e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.35697, "decode.acc_seg": 67.94644, "aux.loss_seg": 0.24957, "aux.acc_seg": 61.20959, "loss": 0.60654, "time": 0.40863} -{"mode": "train", "epoch": 45, "iter": 56600, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.35481, "decode.acc_seg": 68.06247, "aux.loss_seg": 0.25393, "aux.acc_seg": 61.03313, "loss": 0.60874, "time": 0.39638} -{"mode": "train", "epoch": 45, "iter": 56650, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.36737, "decode.acc_seg": 69.19496, "aux.loss_seg": 0.25835, "aux.acc_seg": 62.21765, "loss": 0.62572, "time": 0.40502} -{"mode": "train", "epoch": 45, "iter": 56700, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.38114, "decode.acc_seg": 68.27548, "aux.loss_seg": 0.26524, "aux.acc_seg": 61.24099, "loss": 0.64638, "time": 0.39313} -{"mode": "train", "epoch": 45, "iter": 56750, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.38915, "decode.acc_seg": 68.52425, "aux.loss_seg": 0.26052, "aux.acc_seg": 61.8213, "loss": 0.64966, "time": 0.39435} -{"mode": "train", "epoch": 45, "iter": 56800, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.35697, "decode.acc_seg": 69.76862, "aux.loss_seg": 0.25276, "aux.acc_seg": 62.5398, "loss": 0.60972, "time": 0.39592} -{"mode": "train", "epoch": 46, "iter": 56850, "lr": 4e-05, "memory": 17837, "data_time": 0.23867, "decode.loss_seg": 0.3873, "decode.acc_seg": 68.39521, "aux.loss_seg": 0.25925, "aux.acc_seg": 61.77354, "loss": 0.64655, "time": 0.62902} -{"mode": "train", "epoch": 46, "iter": 56900, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.36263, "decode.acc_seg": 69.31038, "aux.loss_seg": 0.2456, "aux.acc_seg": 62.78863, "loss": 0.60823, "time": 0.3967} -{"mode": "train", "epoch": 46, "iter": 56950, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.37463, "decode.acc_seg": 69.51286, "aux.loss_seg": 0.25459, "aux.acc_seg": 62.63908, "loss": 0.62922, "time": 0.39264} -{"mode": "train", "epoch": 46, "iter": 57000, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35214, "decode.acc_seg": 69.02644, "aux.loss_seg": 0.24033, "aux.acc_seg": 62.6782, "loss": 0.59247, "time": 0.3921} -{"mode": "train", "epoch": 46, "iter": 57050, "lr": 4e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.3639, "decode.acc_seg": 69.31517, "aux.loss_seg": 0.25444, "aux.acc_seg": 62.25523, "loss": 0.61835, "time": 0.39405} -{"mode": "train", "epoch": 46, "iter": 57100, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.35088, "decode.acc_seg": 71.08917, "aux.loss_seg": 0.24774, "aux.acc_seg": 63.99433, "loss": 0.59863, "time": 0.40164} -{"mode": "train", "epoch": 46, "iter": 57150, "lr": 4e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.36988, "decode.acc_seg": 68.72405, "aux.loss_seg": 0.25442, "aux.acc_seg": 61.79624, "loss": 0.6243, "time": 0.39451} -{"mode": "train", "epoch": 46, "iter": 57200, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.35684, "decode.acc_seg": 70.27903, "aux.loss_seg": 0.25167, "aux.acc_seg": 63.48038, "loss": 0.60851, "time": 0.39964} -{"mode": "train", "epoch": 46, "iter": 57250, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.36269, "decode.acc_seg": 68.57297, "aux.loss_seg": 0.25474, "aux.acc_seg": 61.87007, "loss": 0.61743, "time": 0.39317} -{"mode": "train", "epoch": 46, "iter": 57300, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.37573, "decode.acc_seg": 69.5607, "aux.loss_seg": 0.26441, "aux.acc_seg": 62.14498, "loss": 0.64014, "time": 0.39855} -{"mode": "train", "epoch": 46, "iter": 57350, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.38009, "decode.acc_seg": 68.70511, "aux.loss_seg": 0.26927, "aux.acc_seg": 61.32087, "loss": 0.64936, "time": 0.3935} -{"mode": "train", "epoch": 46, "iter": 57400, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.35269, "decode.acc_seg": 70.39779, "aux.loss_seg": 0.24723, "aux.acc_seg": 63.64057, "loss": 0.59992, "time": 0.40084} -{"mode": "train", "epoch": 46, "iter": 57450, "lr": 4e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.37523, "decode.acc_seg": 69.15541, "aux.loss_seg": 0.25675, "aux.acc_seg": 62.28551, "loss": 0.63198, "time": 0.39757} -{"mode": "train", "epoch": 46, "iter": 57500, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.3563, "decode.acc_seg": 68.84474, "aux.loss_seg": 0.24965, "aux.acc_seg": 61.85127, "loss": 0.60595, "time": 0.39521} -{"mode": "train", "epoch": 46, "iter": 57550, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.35994, "decode.acc_seg": 69.44914, "aux.loss_seg": 0.24517, "aux.acc_seg": 63.35356, "loss": 0.60512, "time": 0.39077} -{"mode": "train", "epoch": 46, "iter": 57600, "lr": 4e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.37731, "decode.acc_seg": 68.92248, "aux.loss_seg": 0.26356, "aux.acc_seg": 61.79424, "loss": 0.64087, "time": 0.41485} -{"mode": "train", "epoch": 46, "iter": 57650, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.3498, "decode.acc_seg": 69.42111, "aux.loss_seg": 0.24929, "aux.acc_seg": 62.53203, "loss": 0.59909, "time": 0.39658} -{"mode": "train", "epoch": 46, "iter": 57700, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.37784, "decode.acc_seg": 69.26268, "aux.loss_seg": 0.25696, "aux.acc_seg": 62.71553, "loss": 0.6348, "time": 0.39836} -{"mode": "train", "epoch": 46, "iter": 57750, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.36965, "decode.acc_seg": 68.33296, "aux.loss_seg": 0.25445, "aux.acc_seg": 61.71767, "loss": 0.62411, "time": 0.40791} -{"mode": "train", "epoch": 46, "iter": 57800, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.36406, "decode.acc_seg": 67.05079, "aux.loss_seg": 0.24318, "aux.acc_seg": 60.79363, "loss": 0.60725, "time": 0.39414} -{"mode": "train", "epoch": 46, "iter": 57850, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.39228, "decode.acc_seg": 68.61831, "aux.loss_seg": 0.26221, "aux.acc_seg": 61.96643, "loss": 0.65448, "time": 0.3961} -{"mode": "train", "epoch": 46, "iter": 57900, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.36088, "decode.acc_seg": 69.85056, "aux.loss_seg": 0.25505, "aux.acc_seg": 62.73942, "loss": 0.61594, "time": 0.3957} -{"mode": "train", "epoch": 46, "iter": 57950, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.37971, "decode.acc_seg": 70.40998, "aux.loss_seg": 0.25623, "aux.acc_seg": 63.66444, "loss": 0.63594, "time": 0.39975} -{"mode": "train", "epoch": 46, "iter": 58000, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.3635, "decode.acc_seg": 70.13861, "aux.loss_seg": 0.25835, "aux.acc_seg": 62.82651, "loss": 0.62185, "time": 0.39425} -{"mode": "train", "epoch": 46, "iter": 58050, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.36078, "decode.acc_seg": 69.23659, "aux.loss_seg": 0.2496, "aux.acc_seg": 62.56667, "loss": 0.61038, "time": 0.40034} -{"mode": "train", "epoch": 47, "iter": 58100, "lr": 4e-05, "memory": 17837, "data_time": 0.24562, "decode.loss_seg": 0.36567, "decode.acc_seg": 69.89035, "aux.loss_seg": 0.25028, "aux.acc_seg": 63.47378, "loss": 0.61595, "time": 0.64208} -{"mode": "train", "epoch": 47, "iter": 58150, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.36692, "decode.acc_seg": 71.02018, "aux.loss_seg": 0.24694, "aux.acc_seg": 64.62458, "loss": 0.61387, "time": 0.39104} -{"mode": "train", "epoch": 47, "iter": 58200, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.35689, "decode.acc_seg": 69.68286, "aux.loss_seg": 0.24972, "aux.acc_seg": 62.82831, "loss": 0.6066, "time": 0.39057} -{"mode": "train", "epoch": 47, "iter": 58250, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.33968, "decode.acc_seg": 69.40066, "aux.loss_seg": 0.24206, "aux.acc_seg": 62.3262, "loss": 0.58174, "time": 0.39173} -{"mode": "train", "epoch": 47, "iter": 58300, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.34733, "decode.acc_seg": 69.62868, "aux.loss_seg": 0.24924, "aux.acc_seg": 62.78662, "loss": 0.59657, "time": 0.39848} -{"mode": "train", "epoch": 47, "iter": 58350, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.35814, "decode.acc_seg": 69.34294, "aux.loss_seg": 0.25196, "aux.acc_seg": 62.2263, "loss": 0.6101, "time": 0.39382} -{"mode": "train", "epoch": 47, "iter": 58400, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.34653, "decode.acc_seg": 70.08648, "aux.loss_seg": 0.24366, "aux.acc_seg": 63.16307, "loss": 0.59019, "time": 0.39627} -{"mode": "train", "epoch": 47, "iter": 58450, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.34511, "decode.acc_seg": 69.43122, "aux.loss_seg": 0.24166, "aux.acc_seg": 62.87615, "loss": 0.58677, "time": 0.39599} -{"mode": "train", "epoch": 47, "iter": 58500, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.34519, "decode.acc_seg": 71.85824, "aux.loss_seg": 0.24095, "aux.acc_seg": 64.97006, "loss": 0.58614, "time": 0.39159} -{"mode": "train", "epoch": 47, "iter": 58550, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.34659, "decode.acc_seg": 67.54892, "aux.loss_seg": 0.24512, "aux.acc_seg": 60.59981, "loss": 0.59172, "time": 0.39457} -{"mode": "train", "epoch": 47, "iter": 58600, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.35105, "decode.acc_seg": 69.18306, "aux.loss_seg": 0.24859, "aux.acc_seg": 62.491, "loss": 0.59964, "time": 0.39132} -{"mode": "train", "epoch": 47, "iter": 58650, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.35492, "decode.acc_seg": 69.39825, "aux.loss_seg": 0.24289, "aux.acc_seg": 62.79211, "loss": 0.59781, "time": 0.3931} -{"mode": "train", "epoch": 47, "iter": 58700, "lr": 4e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.34559, "decode.acc_seg": 71.07473, "aux.loss_seg": 0.24612, "aux.acc_seg": 64.32965, "loss": 0.59171, "time": 0.39959} -{"mode": "train", "epoch": 47, "iter": 58750, "lr": 4e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.35943, "decode.acc_seg": 69.56261, "aux.loss_seg": 0.25549, "aux.acc_seg": 62.27107, "loss": 0.61492, "time": 0.39772} -{"mode": "train", "epoch": 47, "iter": 58800, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.35774, "decode.acc_seg": 69.65991, "aux.loss_seg": 0.24803, "aux.acc_seg": 62.92579, "loss": 0.60577, "time": 0.3961} -{"mode": "train", "epoch": 47, "iter": 58850, "lr": 4e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.3552, "decode.acc_seg": 69.7678, "aux.loss_seg": 0.23841, "aux.acc_seg": 63.3919, "loss": 0.59361, "time": 0.39439} -{"mode": "train", "epoch": 47, "iter": 58900, "lr": 4e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.35824, "decode.acc_seg": 69.61782, "aux.loss_seg": 0.25288, "aux.acc_seg": 62.83966, "loss": 0.61112, "time": 0.39432} -{"mode": "train", "epoch": 47, "iter": 58950, "lr": 4e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.39438, "decode.acc_seg": 68.89471, "aux.loss_seg": 0.26319, "aux.acc_seg": 62.27077, "loss": 0.65757, "time": 0.39639} -{"mode": "train", "epoch": 47, "iter": 59000, "lr": 4e-05, "memory": 17837, "data_time": 0.00539, "decode.loss_seg": 0.3558, "decode.acc_seg": 67.38704, "aux.loss_seg": 0.23294, "aux.acc_seg": 61.62516, "loss": 0.58874, "time": 0.39747} -{"mode": "train", "epoch": 47, "iter": 59050, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.38147, "decode.acc_seg": 69.21797, "aux.loss_seg": 0.25438, "aux.acc_seg": 62.42008, "loss": 0.63585, "time": 0.4018} -{"mode": "train", "epoch": 47, "iter": 59100, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.3517, "decode.acc_seg": 68.98992, "aux.loss_seg": 0.23805, "aux.acc_seg": 62.46586, "loss": 0.58975, "time": 0.39405} -{"mode": "train", "epoch": 47, "iter": 59150, "lr": 4e-05, "memory": 17837, "data_time": 0.00549, "decode.loss_seg": 0.36796, "decode.acc_seg": 68.60765, "aux.loss_seg": 0.25168, "aux.acc_seg": 62.18516, "loss": 0.61964, "time": 0.39359} -{"mode": "train", "epoch": 47, "iter": 59200, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.37654, "decode.acc_seg": 69.47269, "aux.loss_seg": 0.25503, "aux.acc_seg": 62.8199, "loss": 0.63158, "time": 0.39466} -{"mode": "train", "epoch": 47, "iter": 59250, "lr": 4e-05, "memory": 17837, "data_time": 0.00554, "decode.loss_seg": 0.36202, "decode.acc_seg": 69.17375, "aux.loss_seg": 0.25437, "aux.acc_seg": 62.22784, "loss": 0.6164, "time": 0.39106} -{"mode": "train", "epoch": 47, "iter": 59300, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.33458, "decode.acc_seg": 69.78233, "aux.loss_seg": 0.23845, "aux.acc_seg": 62.87453, "loss": 0.57303, "time": 0.39482} -{"mode": "train", "epoch": 47, "iter": 59350, "lr": 4e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.36868, "decode.acc_seg": 69.85848, "aux.loss_seg": 0.25242, "aux.acc_seg": 62.92103, "loss": 0.6211, "time": 0.39487} -{"mode": "train", "epoch": 48, "iter": 59400, "lr": 4e-05, "memory": 17837, "data_time": 0.24036, "decode.loss_seg": 0.34418, "decode.acc_seg": 69.63571, "aux.loss_seg": 0.24188, "aux.acc_seg": 63.13332, "loss": 0.58607, "time": 0.63163} -{"mode": "train", "epoch": 48, "iter": 59450, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.3494, "decode.acc_seg": 67.83322, "aux.loss_seg": 0.24369, "aux.acc_seg": 61.15151, "loss": 0.59309, "time": 0.39716} -{"mode": "train", "epoch": 48, "iter": 59500, "lr": 4e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.35593, "decode.acc_seg": 70.44121, "aux.loss_seg": 0.25132, "aux.acc_seg": 63.42376, "loss": 0.60724, "time": 0.39729} -{"mode": "train", "epoch": 48, "iter": 59550, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.3638, "decode.acc_seg": 70.78844, "aux.loss_seg": 0.2565, "aux.acc_seg": 63.3076, "loss": 0.6203, "time": 0.39766} -{"mode": "train", "epoch": 48, "iter": 59600, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.34006, "decode.acc_seg": 70.36749, "aux.loss_seg": 0.24149, "aux.acc_seg": 63.5378, "loss": 0.58154, "time": 0.39442} -{"mode": "train", "epoch": 48, "iter": 59650, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.35264, "decode.acc_seg": 68.39571, "aux.loss_seg": 0.24233, "aux.acc_seg": 61.81907, "loss": 0.59498, "time": 0.39293} -{"mode": "train", "epoch": 48, "iter": 59700, "lr": 4e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.34949, "decode.acc_seg": 70.97905, "aux.loss_seg": 0.24894, "aux.acc_seg": 64.20788, "loss": 0.59843, "time": 0.39849} -{"mode": "train", "epoch": 48, "iter": 59750, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.35205, "decode.acc_seg": 70.55173, "aux.loss_seg": 0.25, "aux.acc_seg": 63.3302, "loss": 0.60205, "time": 0.39457} -{"mode": "train", "epoch": 48, "iter": 59800, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.3422, "decode.acc_seg": 69.95277, "aux.loss_seg": 0.2453, "aux.acc_seg": 62.5464, "loss": 0.5875, "time": 0.40205} -{"mode": "train", "epoch": 48, "iter": 59850, "lr": 4e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.3391, "decode.acc_seg": 69.20773, "aux.loss_seg": 0.23854, "aux.acc_seg": 62.40355, "loss": 0.57764, "time": 0.41105} -{"mode": "train", "epoch": 48, "iter": 59900, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.3809, "decode.acc_seg": 69.82733, "aux.loss_seg": 0.25809, "aux.acc_seg": 63.41, "loss": 0.63899, "time": 0.40277} -{"mode": "train", "epoch": 48, "iter": 59950, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.33426, "decode.acc_seg": 70.43494, "aux.loss_seg": 0.23568, "aux.acc_seg": 64.03555, "loss": 0.56994, "time": 0.39733} -{"mode": "train", "epoch": 48, "iter": 60000, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.36762, "decode.acc_seg": 69.54007, "aux.loss_seg": 0.24976, "aux.acc_seg": 62.71831, "loss": 0.61738, "time": 0.40325} -{"mode": "train", "epoch": 48, "iter": 60050, "lr": 4e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.35971, "decode.acc_seg": 70.5796, "aux.loss_seg": 0.25102, "aux.acc_seg": 63.59509, "loss": 0.61073, "time": 0.39872} -{"mode": "train", "epoch": 48, "iter": 60100, "lr": 4e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.34431, "decode.acc_seg": 69.79145, "aux.loss_seg": 0.23809, "aux.acc_seg": 63.52971, "loss": 0.5824, "time": 0.39798} -{"mode": "train", "epoch": 48, "iter": 60150, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.36669, "decode.acc_seg": 70.22788, "aux.loss_seg": 0.25984, "aux.acc_seg": 62.65139, "loss": 0.62653, "time": 0.39657} -{"mode": "train", "epoch": 48, "iter": 60200, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.36797, "decode.acc_seg": 68.33461, "aux.loss_seg": 0.25172, "aux.acc_seg": 61.27945, "loss": 0.61969, "time": 0.39539} -{"mode": "train", "epoch": 48, "iter": 60250, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.3498, "decode.acc_seg": 69.45499, "aux.loss_seg": 0.24304, "aux.acc_seg": 62.73769, "loss": 0.59284, "time": 0.39867} -{"mode": "train", "epoch": 48, "iter": 60300, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.36359, "decode.acc_seg": 68.68139, "aux.loss_seg": 0.26075, "aux.acc_seg": 61.2209, "loss": 0.62434, "time": 0.39451} -{"mode": "train", "epoch": 48, "iter": 60350, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34644, "decode.acc_seg": 68.60709, "aux.loss_seg": 0.2452, "aux.acc_seg": 61.76085, "loss": 0.59165, "time": 0.3959} -{"mode": "train", "epoch": 48, "iter": 60400, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.36346, "decode.acc_seg": 69.54329, "aux.loss_seg": 0.26406, "aux.acc_seg": 62.00876, "loss": 0.62752, "time": 0.39915} -{"mode": "train", "epoch": 48, "iter": 60450, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.35725, "decode.acc_seg": 68.89445, "aux.loss_seg": 0.23957, "aux.acc_seg": 62.43122, "loss": 0.59683, "time": 0.40602} -{"mode": "train", "epoch": 48, "iter": 60500, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.36027, "decode.acc_seg": 69.24959, "aux.loss_seg": 0.24391, "aux.acc_seg": 63.17938, "loss": 0.60417, "time": 0.41537} -{"mode": "train", "epoch": 48, "iter": 60550, "lr": 4e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.35961, "decode.acc_seg": 69.07638, "aux.loss_seg": 0.25833, "aux.acc_seg": 61.72318, "loss": 0.61794, "time": 0.39998} -{"mode": "train", "epoch": 48, "iter": 60600, "lr": 4e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.333, "decode.acc_seg": 70.4111, "aux.loss_seg": 0.2331, "aux.acc_seg": 63.88249, "loss": 0.5661, "time": 0.39525} -{"mode": "train", "epoch": 49, "iter": 60650, "lr": 4e-05, "memory": 17837, "data_time": 0.24424, "decode.loss_seg": 0.36293, "decode.acc_seg": 68.39161, "aux.loss_seg": 0.24771, "aux.acc_seg": 61.74379, "loss": 0.61064, "time": 0.63429} -{"mode": "train", "epoch": 49, "iter": 60700, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.36637, "decode.acc_seg": 68.5529, "aux.loss_seg": 0.25829, "aux.acc_seg": 60.95619, "loss": 0.62466, "time": 0.39948} -{"mode": "train", "epoch": 49, "iter": 60750, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.33518, "decode.acc_seg": 70.09323, "aux.loss_seg": 0.24077, "aux.acc_seg": 63.31936, "loss": 0.57594, "time": 0.39541} -{"mode": "train", "epoch": 49, "iter": 60800, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.35141, "decode.acc_seg": 70.53129, "aux.loss_seg": 0.24501, "aux.acc_seg": 63.89395, "loss": 0.59642, "time": 0.39552} -{"mode": "train", "epoch": 49, "iter": 60850, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.32888, "decode.acc_seg": 69.4727, "aux.loss_seg": 0.23159, "aux.acc_seg": 62.91737, "loss": 0.56047, "time": 0.40003} -{"mode": "train", "epoch": 49, "iter": 60900, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.344, "decode.acc_seg": 68.60703, "aux.loss_seg": 0.24628, "aux.acc_seg": 61.32802, "loss": 0.59027, "time": 0.39785} -{"mode": "train", "epoch": 49, "iter": 60950, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.35223, "decode.acc_seg": 69.51415, "aux.loss_seg": 0.24324, "aux.acc_seg": 62.98922, "loss": 0.59547, "time": 0.40319} -{"mode": "train", "epoch": 49, "iter": 61000, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.35168, "decode.acc_seg": 69.82793, "aux.loss_seg": 0.24188, "aux.acc_seg": 63.03223, "loss": 0.59356, "time": 0.39898} -{"mode": "train", "epoch": 49, "iter": 61050, "lr": 4e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.34551, "decode.acc_seg": 69.78385, "aux.loss_seg": 0.24705, "aux.acc_seg": 62.72036, "loss": 0.59256, "time": 0.40368} -{"mode": "train", "epoch": 49, "iter": 61100, "lr": 4e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.34157, "decode.acc_seg": 70.05392, "aux.loss_seg": 0.24495, "aux.acc_seg": 62.84682, "loss": 0.58653, "time": 0.4003} -{"mode": "train", "epoch": 49, "iter": 61150, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.35807, "decode.acc_seg": 70.08263, "aux.loss_seg": 0.25412, "aux.acc_seg": 62.82826, "loss": 0.61219, "time": 0.403} -{"mode": "train", "epoch": 49, "iter": 61200, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.34629, "decode.acc_seg": 69.64693, "aux.loss_seg": 0.24135, "aux.acc_seg": 63.08258, "loss": 0.58764, "time": 0.39907} -{"mode": "train", "epoch": 49, "iter": 61250, "lr": 4e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34224, "decode.acc_seg": 69.89026, "aux.loss_seg": 0.25715, "aux.acc_seg": 62.19868, "loss": 0.59939, "time": 0.40257} -{"mode": "train", "epoch": 49, "iter": 61300, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.35576, "decode.acc_seg": 69.294, "aux.loss_seg": 0.25014, "aux.acc_seg": 62.54294, "loss": 0.6059, "time": 0.41144} -{"mode": "train", "epoch": 49, "iter": 61350, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.35164, "decode.acc_seg": 69.44384, "aux.loss_seg": 0.23928, "aux.acc_seg": 63.07022, "loss": 0.59091, "time": 0.40184} -{"mode": "train", "epoch": 49, "iter": 61400, "lr": 4e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.34656, "decode.acc_seg": 70.48915, "aux.loss_seg": 0.24433, "aux.acc_seg": 63.90259, "loss": 0.59089, "time": 0.40613} -{"mode": "train", "epoch": 49, "iter": 61450, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.33851, "decode.acc_seg": 70.16273, "aux.loss_seg": 0.23926, "aux.acc_seg": 63.54239, "loss": 0.57777, "time": 0.40469} -{"mode": "train", "epoch": 49, "iter": 61500, "lr": 4e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.3386, "decode.acc_seg": 70.16571, "aux.loss_seg": 0.25011, "aux.acc_seg": 62.41501, "loss": 0.58872, "time": 0.40652} -{"mode": "train", "epoch": 49, "iter": 61550, "lr": 4e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.36292, "decode.acc_seg": 70.10885, "aux.loss_seg": 0.24743, "aux.acc_seg": 63.98752, "loss": 0.61035, "time": 0.41253} -{"mode": "train", "epoch": 49, "iter": 61600, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.35493, "decode.acc_seg": 70.9539, "aux.loss_seg": 0.24531, "aux.acc_seg": 64.13633, "loss": 0.60024, "time": 0.41567} -{"mode": "train", "epoch": 49, "iter": 61650, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.34653, "decode.acc_seg": 67.44408, "aux.loss_seg": 0.23816, "aux.acc_seg": 61.24666, "loss": 0.58469, "time": 0.40352} -{"mode": "train", "epoch": 49, "iter": 61700, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.36024, "decode.acc_seg": 69.38376, "aux.loss_seg": 0.24083, "aux.acc_seg": 63.14756, "loss": 0.60107, "time": 0.40482} -{"mode": "train", "epoch": 49, "iter": 61750, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.34828, "decode.acc_seg": 68.23921, "aux.loss_seg": 0.24383, "aux.acc_seg": 61.82921, "loss": 0.59211, "time": 0.39406} -{"mode": "train", "epoch": 49, "iter": 61800, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35633, "decode.acc_seg": 70.16353, "aux.loss_seg": 0.24802, "aux.acc_seg": 63.0892, "loss": 0.60435, "time": 0.40138} -{"mode": "train", "epoch": 49, "iter": 61850, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.35203, "decode.acc_seg": 69.89709, "aux.loss_seg": 0.24629, "aux.acc_seg": 63.01724, "loss": 0.59831, "time": 0.40931} -{"mode": "train", "epoch": 50, "iter": 61900, "lr": 4e-05, "memory": 17837, "data_time": 0.24586, "decode.loss_seg": 0.36322, "decode.acc_seg": 68.56276, "aux.loss_seg": 0.24234, "aux.acc_seg": 62.6871, "loss": 0.60556, "time": 0.63513} -{"mode": "train", "epoch": 50, "iter": 61950, "lr": 4e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.34935, "decode.acc_seg": 70.5273, "aux.loss_seg": 0.24335, "aux.acc_seg": 63.67384, "loss": 0.5927, "time": 0.39836} -{"mode": "train", "epoch": 50, "iter": 62000, "lr": 4e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.3444, "decode.acc_seg": 69.87664, "aux.loss_seg": 0.2364, "aux.acc_seg": 63.22163, "loss": 0.58079, "time": 0.40542} -{"mode": "train", "epoch": 50, "iter": 62050, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.3569, "decode.acc_seg": 70.612, "aux.loss_seg": 0.2479, "aux.acc_seg": 63.78086, "loss": 0.6048, "time": 0.40384} -{"mode": "train", "epoch": 50, "iter": 62100, "lr": 4e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.34429, "decode.acc_seg": 70.74408, "aux.loss_seg": 0.24992, "aux.acc_seg": 63.25232, "loss": 0.59421, "time": 0.40929} -{"mode": "train", "epoch": 50, "iter": 62150, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.34403, "decode.acc_seg": 70.71123, "aux.loss_seg": 0.24821, "aux.acc_seg": 63.46143, "loss": 0.59225, "time": 0.40264} -{"mode": "train", "epoch": 50, "iter": 62200, "lr": 4e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.35676, "decode.acc_seg": 69.12511, "aux.loss_seg": 0.25033, "aux.acc_seg": 61.91458, "loss": 0.6071, "time": 0.39308} -{"mode": "train", "epoch": 50, "iter": 62250, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.33509, "decode.acc_seg": 70.10272, "aux.loss_seg": 0.23952, "aux.acc_seg": 63.32039, "loss": 0.57461, "time": 0.39365} -{"mode": "train", "epoch": 50, "iter": 62300, "lr": 4e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.32905, "decode.acc_seg": 69.79838, "aux.loss_seg": 0.23049, "aux.acc_seg": 63.74399, "loss": 0.55954, "time": 0.41113} -{"mode": "train", "epoch": 50, "iter": 62350, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.3779, "decode.acc_seg": 69.58593, "aux.loss_seg": 0.25995, "aux.acc_seg": 62.80027, "loss": 0.63785, "time": 0.40403} -{"mode": "train", "epoch": 50, "iter": 62400, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.34501, "decode.acc_seg": 69.64273, "aux.loss_seg": 0.24331, "aux.acc_seg": 62.67868, "loss": 0.58832, "time": 0.39924} -{"mode": "train", "epoch": 50, "iter": 62450, "lr": 4e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.34227, "decode.acc_seg": 68.93452, "aux.loss_seg": 0.24525, "aux.acc_seg": 61.95171, "loss": 0.58752, "time": 0.40446} -{"mode": "train", "epoch": 50, "iter": 62500, "lr": 4e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.35705, "decode.acc_seg": 69.36449, "aux.loss_seg": 0.24474, "aux.acc_seg": 63.12868, "loss": 0.60179, "time": 0.39646} -{"mode": "train", "epoch": 50, "iter": 62550, "lr": 4e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.35396, "decode.acc_seg": 70.4951, "aux.loss_seg": 0.24549, "aux.acc_seg": 63.71963, "loss": 0.59945, "time": 0.39874} -{"mode": "train", "epoch": 50, "iter": 62600, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.34156, "decode.acc_seg": 69.58178, "aux.loss_seg": 0.23606, "aux.acc_seg": 63.16515, "loss": 0.57762, "time": 0.39573} -{"mode": "train", "epoch": 50, "iter": 62650, "lr": 4e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.3422, "decode.acc_seg": 69.02426, "aux.loss_seg": 0.23012, "aux.acc_seg": 63.25642, "loss": 0.57232, "time": 0.40592} -{"mode": "train", "epoch": 50, "iter": 62700, "lr": 4e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.36662, "decode.acc_seg": 69.21359, "aux.loss_seg": 0.25026, "aux.acc_seg": 62.51149, "loss": 0.61689, "time": 0.41042} -{"mode": "train", "epoch": 50, "iter": 62750, "lr": 4e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.36453, "decode.acc_seg": 70.17723, "aux.loss_seg": 0.24507, "aux.acc_seg": 63.73299, "loss": 0.6096, "time": 0.40151} -{"mode": "train", "epoch": 50, "iter": 62800, "lr": 4e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.34894, "decode.acc_seg": 71.06034, "aux.loss_seg": 0.24333, "aux.acc_seg": 64.25211, "loss": 0.59227, "time": 0.39976} -{"mode": "train", "epoch": 50, "iter": 62850, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.37471, "decode.acc_seg": 69.49787, "aux.loss_seg": 0.26027, "aux.acc_seg": 62.19253, "loss": 0.63497, "time": 0.41388} -{"mode": "train", "epoch": 50, "iter": 62900, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34726, "decode.acc_seg": 68.28174, "aux.loss_seg": 0.24241, "aux.acc_seg": 61.90584, "loss": 0.58967, "time": 0.41052} -{"mode": "train", "epoch": 50, "iter": 62950, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.33668, "decode.acc_seg": 69.91523, "aux.loss_seg": 0.2402, "aux.acc_seg": 63.21156, "loss": 0.57688, "time": 0.39842} -{"mode": "train", "epoch": 50, "iter": 63000, "lr": 4e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.34243, "decode.acc_seg": 69.2498, "aux.loss_seg": 0.24014, "aux.acc_seg": 62.62559, "loss": 0.58257, "time": 0.41224} -{"mode": "train", "epoch": 50, "iter": 63050, "lr": 4e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.34311, "decode.acc_seg": 70.88951, "aux.loss_seg": 0.25034, "aux.acc_seg": 63.71304, "loss": 0.59344, "time": 0.40893} -{"mode": "train", "epoch": 50, "iter": 63100, "lr": 4e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.36112, "decode.acc_seg": 69.22303, "aux.loss_seg": 0.25247, "aux.acc_seg": 62.34906, "loss": 0.61359, "time": 0.39684} -{"mode": "train", "epoch": 50, "iter": 63150, "lr": 4e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.35763, "decode.acc_seg": 68.55058, "aux.loss_seg": 0.24752, "aux.acc_seg": 61.61242, "loss": 0.60515, "time": 0.40193} -{"mode": "train", "epoch": 51, "iter": 63200, "lr": 4e-05, "memory": 17837, "data_time": 0.24375, "decode.loss_seg": 0.33805, "decode.acc_seg": 70.13556, "aux.loss_seg": 0.23812, "aux.acc_seg": 63.60573, "loss": 0.57617, "time": 0.6446} -{"mode": "train", "epoch": 51, "iter": 63250, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.33747, "decode.acc_seg": 70.09277, "aux.loss_seg": 0.23884, "aux.acc_seg": 63.23002, "loss": 0.57631, "time": 0.40042} -{"mode": "train", "epoch": 51, "iter": 63300, "lr": 4e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.33377, "decode.acc_seg": 72.06669, "aux.loss_seg": 0.24115, "aux.acc_seg": 64.82771, "loss": 0.57492, "time": 0.40368} -{"mode": "train", "epoch": 51, "iter": 63350, "lr": 4e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.33396, "decode.acc_seg": 69.18789, "aux.loss_seg": 0.23871, "aux.acc_seg": 62.31392, "loss": 0.57266, "time": 0.40348} -{"mode": "train", "epoch": 51, "iter": 63400, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.33033, "decode.acc_seg": 69.43884, "aux.loss_seg": 0.23554, "aux.acc_seg": 62.78226, "loss": 0.56587, "time": 0.39912} -{"mode": "train", "epoch": 51, "iter": 63450, "lr": 4e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.33614, "decode.acc_seg": 69.35062, "aux.loss_seg": 0.23566, "aux.acc_seg": 62.77922, "loss": 0.57181, "time": 0.4106} -{"mode": "train", "epoch": 51, "iter": 63500, "lr": 4e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.37089, "decode.acc_seg": 69.71278, "aux.loss_seg": 0.25611, "aux.acc_seg": 62.74449, "loss": 0.627, "time": 0.39783} -{"mode": "train", "epoch": 51, "iter": 63550, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.3466, "decode.acc_seg": 69.75669, "aux.loss_seg": 0.2411, "aux.acc_seg": 63.17537, "loss": 0.5877, "time": 0.39362} -{"mode": "train", "epoch": 51, "iter": 63600, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.34052, "decode.acc_seg": 69.90564, "aux.loss_seg": 0.24368, "aux.acc_seg": 63.58972, "loss": 0.5842, "time": 0.39208} -{"mode": "train", "epoch": 51, "iter": 63650, "lr": 4e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.35716, "decode.acc_seg": 69.60433, "aux.loss_seg": 0.24939, "aux.acc_seg": 62.89989, "loss": 0.60654, "time": 0.41198} -{"mode": "train", "epoch": 51, "iter": 63700, "lr": 4e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.33752, "decode.acc_seg": 69.46793, "aux.loss_seg": 0.23825, "aux.acc_seg": 62.61194, "loss": 0.57577, "time": 0.39222} -{"mode": "train", "epoch": 51, "iter": 63750, "lr": 4e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.34677, "decode.acc_seg": 70.04844, "aux.loss_seg": 0.24017, "aux.acc_seg": 63.51698, "loss": 0.58694, "time": 0.39223} -{"mode": "train", "epoch": 51, "iter": 63800, "lr": 4e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.3321, "decode.acc_seg": 70.27646, "aux.loss_seg": 0.24287, "aux.acc_seg": 63.36162, "loss": 0.57497, "time": 0.39433} -{"mode": "train", "epoch": 51, "iter": 63850, "lr": 4e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.35533, "decode.acc_seg": 70.84812, "aux.loss_seg": 0.24641, "aux.acc_seg": 64.00886, "loss": 0.60174, "time": 0.41196} -{"mode": "train", "epoch": 51, "iter": 63900, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.35579, "decode.acc_seg": 69.45712, "aux.loss_seg": 0.25085, "aux.acc_seg": 62.34579, "loss": 0.60664, "time": 0.39438} -{"mode": "train", "epoch": 51, "iter": 63950, "lr": 4e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.33479, "decode.acc_seg": 69.60452, "aux.loss_seg": 0.22664, "aux.acc_seg": 63.59025, "loss": 0.56143, "time": 0.40276} -{"mode": "val", "epoch": 51, "iter": 64000, "lr": 4e-05, "mIoU": 0.4373, "mAcc": 0.5696, "aAcc": 0.8034, "IoU.wall": 0.7362, "IoU.building": 0.8038, "IoU.sky": 0.9351, "IoU.floor": 0.7865, "IoU.tree": 0.7212, "IoU.ceiling": 0.8035, "IoU.road": 0.8046, "IoU.bed ": 0.8415, "IoU.windowpane": 0.5708, "IoU.grass": 0.6504, "IoU.cabinet": 0.5729, "IoU.sidewalk": 0.6225, "IoU.person": 0.7542, "IoU.earth": 0.3265, "IoU.door": 0.3966, "IoU.table": 0.5199, "IoU.mountain": 0.5899, "IoU.plant": 0.484, "IoU.curtain": 0.6694, "IoU.chair": 0.4833, "IoU.car": 0.8054, "IoU.water": 0.5061, "IoU.painting": 0.6893, "IoU.sofa": 0.5353, "IoU.shelf": 0.3774, "IoU.house": 0.4665, "IoU.sea": 0.5258, "IoU.mirror": 0.539, "IoU.rug": 0.6657, "IoU.field": 0.2784, "IoU.armchair": 0.3382, "IoU.seat": 0.5854, "IoU.fence": 0.2866, "IoU.desk": 0.4545, "IoU.rock": 0.4507, "IoU.wardrobe": 0.4082, "IoU.lamp": 0.5288, "IoU.bathtub": 0.6881, "IoU.railing": 0.3225, "IoU.cushion": 0.4955, "IoU.base": 0.3313, "IoU.box": 0.2156, "IoU.column": 0.4055, "IoU.signboard": 0.3083, "IoU.chest of drawers": 0.3419, "IoU.counter": 0.3302, "IoU.sand": 0.3878, "IoU.sink": 0.6271, "IoU.skyscraper": 0.6366, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6379, "IoU.grandstand": 0.3986, "IoU.path": 0.1666, "IoU.stairs": 0.2037, "IoU.runway": 0.6865, "IoU.case": 0.4594, "IoU.pool table": 0.8799, "IoU.pillow": 0.5207, "IoU.screen door": 0.5517, "IoU.stairway": 0.2457, "IoU.river": 0.1848, "IoU.bridge": 0.6161, "IoU.bookcase": 0.3539, "IoU.blind": NaN, "IoU.coffee table": 0.5242, "IoU.toilet": 0.7983, "IoU.flower": 0.4279, "IoU.book": 0.4379, "IoU.hill": 0.099, "IoU.bench": 0.3232, "IoU.countertop": 0.4956, "IoU.stove": 0.6399, "IoU.palm": 0.4532, "IoU.kitchen island": 0.2971, "IoU.computer": 0.5648, "IoU.swivel chair": 0.4197, "IoU.boat": 0.3445, "IoU.bar": 0.3448, "IoU.arcade machine": 0.7517, "IoU.hovel": 0.3009, "IoU.bus": 0.7431, "IoU.towel": 0.5644, "IoU.light": 0.4458, "IoU.truck": 0.1359, "IoU.tower": 0.3031, "IoU.chandelier": 0.6016, "IoU.awning": 0.2454, "IoU.streetlight": 0.1647, "IoU.booth": 0.5011, "IoU.television receiver": NaN, "IoU.airplane": 0.517, "IoU.dirt track": 0.0569, "IoU.apparel": 0.2433, "IoU.pole": 0.1134, "IoU.land": 0.0219, "IoU.bannister": 0.0372, "IoU.escalator": 0.3492, "IoU.ottoman": 0.3151, "IoU.bottle": NaN, "IoU.buffet": 0.471, "IoU.poster": 0.1958, "IoU.stage": 0.1149, "IoU.van": 0.4066, "IoU.ship": 0.5314, "IoU.fountain": 0.3283, "IoU.conveyer belt": 0.5899, "IoU.canopy": 0.2261, "IoU.washer": 0.6522, "IoU.plaything": 0.1824, "IoU.swimming pool": 0.7075, "IoU.stool": 0.3114, "IoU.barrel": 0.1833, "IoU.basket": 0.23, "IoU.waterfall": 0.7482, "IoU.tent": 0.8268, "IoU.bag": 0.0681, "IoU.minibike": 0.677, "IoU.cradle": NaN, "IoU.oven": 0.3218, "IoU.ball": 0.4737, "IoU.food": 0.5392, "IoU.step": 0.1302, "IoU.tank": 0.4572, "IoU.trade name": 0.2406, "IoU.microwave": 0.7732, "IoU.pot": 0.4357, "IoU.animal": NaN, "IoU.bicycle": 0.5128, "IoU.lake": 0.0002, "IoU.dishwasher": 0.5467, "IoU.screen": 0.5776, "IoU.blanket": 0.0926, "IoU.sculpture": 0.4651, "IoU.hood": 0.4877, "IoU.sconce": 0.3124, "IoU.vase": 0.3048, "IoU.traffic light": 0.2001, "IoU.tray": 0.0354, "IoU.ashcan": 0.3044, "IoU.fan": 0.4979, "IoU.pier": 0.349, "IoU.crt screen": 0.0631, "IoU.plate": 0.5028, "IoU.monitor": 0.2631, "IoU.bulletin board": 0.324, "IoU.shower": 0.0, "IoU.radiator": 0.5355, "IoU.glass": 0.0962, "IoU.clock": 0.1894, "IoU.flag": 0.3934, "Acc.wall": 0.8688, "Acc.building": 0.9135, "Acc.sky": 0.9709, "Acc.floor": 0.8827, "Acc.tree": 0.8456, "Acc.ceiling": 0.8879, "Acc.road": 0.8629, "Acc.bed ": 0.9159, "Acc.windowpane": 0.7271, "Acc.grass": 0.7748, "Acc.cabinet": 0.6977, "Acc.sidewalk": 0.812, "Acc.person": 0.8889, "Acc.earth": 0.446, "Acc.door": 0.5289, "Acc.table": 0.6948, "Acc.mountain": 0.7278, "Acc.plant": 0.5751, "Acc.curtain": 0.8104, "Acc.chair": 0.6278, "Acc.car": 0.8972, "Acc.water": 0.6608, "Acc.painting": 0.8059, "Acc.sofa": 0.7076, "Acc.shelf": 0.6183, "Acc.house": 0.675, "Acc.sea": 0.742, "Acc.mirror": 0.6523, "Acc.rug": 0.7539, "Acc.field": 0.5329, "Acc.armchair": 0.5659, "Acc.seat": 0.7714, "Acc.fence": 0.4023, "Acc.desk": 0.6419, "Acc.rock": 0.6853, "Acc.wardrobe": 0.5665, "Acc.lamp": 0.6793, "Acc.bathtub": 0.7773, "Acc.railing": 0.4385, "Acc.cushion": 0.635, "Acc.base": 0.4834, "Acc.box": 0.2883, "Acc.column": 0.5246, "Acc.signboard": 0.4302, "Acc.chest of drawers": 0.5731, "Acc.counter": 0.4575, "Acc.sand": 0.6339, "Acc.sink": 0.7447, "Acc.skyscraper": 0.8176, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8206, "Acc.grandstand": 0.6614, "Acc.path": 0.2577, "Acc.stairs": 0.2598, "Acc.runway": 0.9121, "Acc.case": 0.6411, "Acc.pool table": 0.9581, "Acc.pillow": 0.6948, "Acc.screen door": 0.7728, "Acc.stairway": 0.3377, "Acc.river": 0.3556, "Acc.bridge": 0.8261, "Acc.bookcase": 0.451, "Acc.blind": NaN, "Acc.coffee table": 0.7658, "Acc.toilet": 0.8827, "Acc.flower": 0.5235, "Acc.book": 0.6674, "Acc.hill": 0.189, "Acc.bench": 0.4125, "Acc.countertop": 0.6075, "Acc.stove": 0.7699, "Acc.palm": 0.7743, "Acc.kitchen island": 0.6983, "Acc.computer": 0.6682, "Acc.swivel chair": 0.5254, "Acc.boat": 0.5063, "Acc.bar": 0.4479, "Acc.arcade machine": 0.8394, "Acc.hovel": 0.4542, "Acc.bus": 0.9195, "Acc.towel": 0.7449, "Acc.light": 0.4894, "Acc.truck": 0.2107, "Acc.tower": 0.5256, "Acc.chandelier": 0.7433, "Acc.awning": 0.2988, "Acc.streetlight": 0.2086, "Acc.booth": 0.6843, "Acc.television receiver": NaN, "Acc.airplane": 0.5851, "Acc.dirt track": 0.4342, "Acc.apparel": 0.4004, "Acc.pole": 0.153, "Acc.land": 0.0498, "Acc.bannister": 0.045, "Acc.escalator": 0.5289, "Acc.ottoman": 0.4634, "Acc.bottle": NaN, "Acc.buffet": 0.5383, "Acc.poster": 0.2263, "Acc.stage": 0.1973, "Acc.van": 0.5052, "Acc.ship": 0.7935, "Acc.fountain": 0.3344, "Acc.conveyer belt": 0.8245, "Acc.canopy": 0.2855, "Acc.washer": 0.6877, "Acc.plaything": 0.2728, "Acc.swimming pool": 0.8014, "Acc.stool": 0.5134, "Acc.barrel": 0.637, "Acc.basket": 0.2869, "Acc.waterfall": 0.9099, "Acc.tent": 0.9885, "Acc.bag": 0.0867, "Acc.minibike": 0.8403, "Acc.cradle": NaN, "Acc.oven": 0.4423, "Acc.ball": 0.5513, "Acc.food": 0.6695, "Acc.step": 0.1621, "Acc.tank": 0.6234, "Acc.trade name": 0.2852, "Acc.microwave": 0.8794, "Acc.pot": 0.5155, "Acc.animal": NaN, "Acc.bicycle": 0.7201, "Acc.lake": 0.0002, "Acc.dishwasher": 0.6918, "Acc.screen": 0.8301, "Acc.blanket": 0.1037, "Acc.sculpture": 0.6663, "Acc.hood": 0.5759, "Acc.sconce": 0.3453, "Acc.vase": 0.4702, "Acc.traffic light": 0.3344, "Acc.tray": 0.0665, "Acc.ashcan": 0.4226, "Acc.fan": 0.6761, "Acc.pier": 0.5235, "Acc.crt screen": 0.112, "Acc.plate": 0.6193, "Acc.monitor": 0.4722, "Acc.bulletin board": 0.3635, "Acc.shower": 0.0, "Acc.radiator": 0.6135, "Acc.glass": 0.105, "Acc.clock": 0.2066, "Acc.flag": 0.4625} -{"mode": "train", "epoch": 51, "iter": 64050, "lr": 4e-05, "memory": 17837, "data_time": 1.46336, "decode.loss_seg": 0.34551, "decode.acc_seg": 70.13932, "aux.loss_seg": 0.24427, "aux.acc_seg": 63.52786, "loss": 0.58978, "time": 1.85498} -{"mode": "train", "epoch": 51, "iter": 64100, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34333, "decode.acc_seg": 69.05885, "aux.loss_seg": 0.23657, "aux.acc_seg": 62.71108, "loss": 0.5799, "time": 0.40838} -{"mode": "train", "epoch": 51, "iter": 64150, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.37106, "decode.acc_seg": 68.87881, "aux.loss_seg": 0.25869, "aux.acc_seg": 61.9809, "loss": 0.62975, "time": 0.40524} -{"mode": "train", "epoch": 51, "iter": 64200, "lr": 4e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.36688, "decode.acc_seg": 69.9235, "aux.loss_seg": 0.25823, "aux.acc_seg": 62.6307, "loss": 0.62511, "time": 0.39921} -{"mode": "train", "epoch": 51, "iter": 64250, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.35169, "decode.acc_seg": 70.13246, "aux.loss_seg": 0.24983, "aux.acc_seg": 62.71839, "loss": 0.60151, "time": 0.41322} -{"mode": "train", "epoch": 51, "iter": 64300, "lr": 4e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.35285, "decode.acc_seg": 68.59117, "aux.loss_seg": 0.25021, "aux.acc_seg": 61.70519, "loss": 0.60307, "time": 0.39982} -{"mode": "train", "epoch": 51, "iter": 64350, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32499, "decode.acc_seg": 70.13576, "aux.loss_seg": 0.22689, "aux.acc_seg": 63.84503, "loss": 0.55188, "time": 0.40653} -{"mode": "train", "epoch": 51, "iter": 64400, "lr": 4e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.35029, "decode.acc_seg": 70.02152, "aux.loss_seg": 0.24089, "aux.acc_seg": 63.48135, "loss": 0.59118, "time": 0.40938} -{"mode": "train", "epoch": 52, "iter": 64450, "lr": 4e-05, "memory": 17837, "data_time": 0.24963, "decode.loss_seg": 0.35667, "decode.acc_seg": 68.1156, "aux.loss_seg": 0.23696, "aux.acc_seg": 62.12447, "loss": 0.59363, "time": 0.64299} -{"mode": "train", "epoch": 52, "iter": 64500, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.34078, "decode.acc_seg": 70.82727, "aux.loss_seg": 0.24382, "aux.acc_seg": 63.59194, "loss": 0.5846, "time": 0.39567} -{"mode": "train", "epoch": 52, "iter": 64550, "lr": 4e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.3276, "decode.acc_seg": 71.22335, "aux.loss_seg": 0.23108, "aux.acc_seg": 64.49089, "loss": 0.55868, "time": 0.39607} -{"mode": "train", "epoch": 52, "iter": 64600, "lr": 4e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.34611, "decode.acc_seg": 70.61309, "aux.loss_seg": 0.24752, "aux.acc_seg": 63.76319, "loss": 0.59363, "time": 0.4135} -{"mode": "train", "epoch": 52, "iter": 64650, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.33357, "decode.acc_seg": 68.16531, "aux.loss_seg": 0.23976, "aux.acc_seg": 61.34994, "loss": 0.57333, "time": 0.39645} -{"mode": "train", "epoch": 52, "iter": 64700, "lr": 4e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.33929, "decode.acc_seg": 69.68031, "aux.loss_seg": 0.23999, "aux.acc_seg": 63.15542, "loss": 0.57927, "time": 0.39902} -{"mode": "train", "epoch": 52, "iter": 64750, "lr": 4e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.33272, "decode.acc_seg": 71.04302, "aux.loss_seg": 0.23939, "aux.acc_seg": 63.97765, "loss": 0.57211, "time": 0.39523} -{"mode": "train", "epoch": 52, "iter": 64800, "lr": 4e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.32448, "decode.acc_seg": 69.50636, "aux.loss_seg": 0.23827, "aux.acc_seg": 62.19414, "loss": 0.56275, "time": 0.40315} -{"mode": "train", "epoch": 52, "iter": 64850, "lr": 4e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.34617, "decode.acc_seg": 69.59496, "aux.loss_seg": 0.24217, "aux.acc_seg": 62.61055, "loss": 0.58835, "time": 0.39267} -{"mode": "train", "epoch": 52, "iter": 64900, "lr": 4e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.34743, "decode.acc_seg": 70.41052, "aux.loss_seg": 0.25132, "aux.acc_seg": 63.3888, "loss": 0.59876, "time": 0.39978} -{"mode": "train", "epoch": 52, "iter": 64950, "lr": 4e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.34946, "decode.acc_seg": 70.29228, "aux.loss_seg": 0.24684, "aux.acc_seg": 63.03202, "loss": 0.5963, "time": 0.40094} -{"mode": "train", "epoch": 52, "iter": 65000, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.33504, "decode.acc_seg": 70.06745, "aux.loss_seg": 0.23237, "aux.acc_seg": 63.86566, "loss": 0.5674, "time": 0.40836} -{"mode": "train", "epoch": 52, "iter": 65050, "lr": 4e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.31636, "decode.acc_seg": 70.88991, "aux.loss_seg": 0.24209, "aux.acc_seg": 63.27438, "loss": 0.55844, "time": 0.40914} -{"mode": "train", "epoch": 52, "iter": 65100, "lr": 4e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.35041, "decode.acc_seg": 68.91811, "aux.loss_seg": 0.24106, "aux.acc_seg": 62.555, "loss": 0.59148, "time": 0.4173} -{"mode": "train", "epoch": 52, "iter": 65150, "lr": 4e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.33657, "decode.acc_seg": 70.02904, "aux.loss_seg": 0.23911, "aux.acc_seg": 63.31595, "loss": 0.57568, "time": 0.39782} -{"mode": "train", "epoch": 52, "iter": 65200, "lr": 4e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.3527, "decode.acc_seg": 69.85964, "aux.loss_seg": 0.24789, "aux.acc_seg": 62.88072, "loss": 0.60059, "time": 0.39365} -{"mode": "train", "epoch": 52, "iter": 65250, "lr": 4e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.33842, "decode.acc_seg": 70.70927, "aux.loss_seg": 0.23577, "aux.acc_seg": 63.9569, "loss": 0.5742, "time": 0.3929} -{"mode": "train", "epoch": 52, "iter": 65300, "lr": 4e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.34109, "decode.acc_seg": 70.90234, "aux.loss_seg": 0.23972, "aux.acc_seg": 64.14292, "loss": 0.58081, "time": 0.40522} -{"mode": "train", "epoch": 52, "iter": 65350, "lr": 4e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.35345, "decode.acc_seg": 69.91289, "aux.loss_seg": 0.25285, "aux.acc_seg": 62.88908, "loss": 0.6063, "time": 0.40956} -{"mode": "train", "epoch": 52, "iter": 65400, "lr": 4e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.34997, "decode.acc_seg": 68.82653, "aux.loss_seg": 0.23839, "aux.acc_seg": 62.74172, "loss": 0.58837, "time": 0.40856} -{"mode": "train", "epoch": 52, "iter": 65450, "lr": 4e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.35168, "decode.acc_seg": 69.85182, "aux.loss_seg": 0.24342, "aux.acc_seg": 63.38719, "loss": 0.5951, "time": 0.39324} -{"mode": "train", "epoch": 52, "iter": 65500, "lr": 4e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.34395, "decode.acc_seg": 71.20465, "aux.loss_seg": 0.24568, "aux.acc_seg": 64.19808, "loss": 0.58963, "time": 0.4083} -{"mode": "train", "epoch": 52, "iter": 65550, "lr": 4e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.3504, "decode.acc_seg": 68.77743, "aux.loss_seg": 0.24076, "aux.acc_seg": 62.44471, "loss": 0.59116, "time": 0.40438} -{"mode": "train", "epoch": 52, "iter": 65600, "lr": 4e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3387, "decode.acc_seg": 69.76216, "aux.loss_seg": 0.24095, "aux.acc_seg": 63.01319, "loss": 0.57966, "time": 0.39404} -{"mode": "train", "epoch": 52, "iter": 65650, "lr": 4e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.35441, "decode.acc_seg": 69.15642, "aux.loss_seg": 0.24163, "aux.acc_seg": 62.35513, "loss": 0.59604, "time": 0.40302} -{"mode": "train", "epoch": 53, "iter": 65700, "lr": 4e-05, "memory": 17837, "data_time": 0.24296, "decode.loss_seg": 0.32188, "decode.acc_seg": 70.3257, "aux.loss_seg": 0.24167, "aux.acc_seg": 62.7291, "loss": 0.56355, "time": 0.63021} -{"mode": "train", "epoch": 53, "iter": 65750, "lr": 4e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.32293, "decode.acc_seg": 70.36354, "aux.loss_seg": 0.22186, "aux.acc_seg": 64.39409, "loss": 0.54478, "time": 0.39582} -{"mode": "train", "epoch": 53, "iter": 65800, "lr": 4e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.36014, "decode.acc_seg": 69.59991, "aux.loss_seg": 0.25396, "aux.acc_seg": 62.59306, "loss": 0.6141, "time": 0.39087} -{"mode": "train", "epoch": 53, "iter": 65850, "lr": 4e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.32537, "decode.acc_seg": 68.79721, "aux.loss_seg": 0.23116, "aux.acc_seg": 62.20155, "loss": 0.55654, "time": 0.39118} -{"mode": "train", "epoch": 53, "iter": 65900, "lr": 4e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.32816, "decode.acc_seg": 68.59138, "aux.loss_seg": 0.23132, "aux.acc_seg": 61.80828, "loss": 0.55948, "time": 0.39662} -{"mode": "train", "epoch": 53, "iter": 65950, "lr": 4e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.32338, "decode.acc_seg": 69.74751, "aux.loss_seg": 0.22635, "aux.acc_seg": 63.27361, "loss": 0.54974, "time": 0.39886} -{"mode": "train", "epoch": 53, "iter": 66000, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.34943, "decode.acc_seg": 70.67757, "aux.loss_seg": 0.25468, "aux.acc_seg": 63.25873, "loss": 0.60411, "time": 0.41406} -{"mode": "train", "epoch": 53, "iter": 66050, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.35134, "decode.acc_seg": 70.19225, "aux.loss_seg": 0.24337, "aux.acc_seg": 63.7682, "loss": 0.59471, "time": 0.39496} -{"mode": "train", "epoch": 53, "iter": 66100, "lr": 4e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.33542, "decode.acc_seg": 69.87347, "aux.loss_seg": 0.23857, "aux.acc_seg": 63.10284, "loss": 0.57399, "time": 0.41757} -{"mode": "train", "epoch": 53, "iter": 66150, "lr": 4e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.34259, "decode.acc_seg": 69.94266, "aux.loss_seg": 0.23933, "aux.acc_seg": 63.62748, "loss": 0.58192, "time": 0.41515} -{"mode": "train", "epoch": 53, "iter": 66200, "lr": 4e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.33583, "decode.acc_seg": 70.31245, "aux.loss_seg": 0.24193, "aux.acc_seg": 63.13457, "loss": 0.57777, "time": 0.39271} -{"mode": "train", "epoch": 53, "iter": 66250, "lr": 4e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34102, "decode.acc_seg": 69.45619, "aux.loss_seg": 0.23378, "aux.acc_seg": 63.21322, "loss": 0.57479, "time": 0.39186} -{"mode": "train", "epoch": 53, "iter": 66300, "lr": 4e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.34386, "decode.acc_seg": 69.02989, "aux.loss_seg": 0.23902, "aux.acc_seg": 62.45557, "loss": 0.58288, "time": 0.40869} -{"mode": "train", "epoch": 53, "iter": 66350, "lr": 4e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.35433, "decode.acc_seg": 69.87769, "aux.loss_seg": 0.25482, "aux.acc_seg": 62.86799, "loss": 0.60915, "time": 0.41773} -{"mode": "train", "epoch": 53, "iter": 66400, "lr": 4e-05, "memory": 17837, "data_time": 0.00695, "decode.loss_seg": 0.34043, "decode.acc_seg": 70.56161, "aux.loss_seg": 0.24853, "aux.acc_seg": 63.39704, "loss": 0.58896, "time": 0.40961} -{"mode": "train", "epoch": 53, "iter": 66450, "lr": 4e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.33804, "decode.acc_seg": 70.70959, "aux.loss_seg": 0.24157, "aux.acc_seg": 63.94558, "loss": 0.57962, "time": 0.40584} -{"mode": "train", "epoch": 53, "iter": 66500, "lr": 4e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.34154, "decode.acc_seg": 70.45948, "aux.loss_seg": 0.2437, "aux.acc_seg": 63.52539, "loss": 0.58523, "time": 0.3999} -{"mode": "train", "epoch": 53, "iter": 66550, "lr": 4e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.31766, "decode.acc_seg": 70.89057, "aux.loss_seg": 0.23958, "aux.acc_seg": 63.77827, "loss": 0.55724, "time": 0.39763} -{"mode": "train", "epoch": 53, "iter": 66600, "lr": 4e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.34858, "decode.acc_seg": 70.34867, "aux.loss_seg": 0.24516, "aux.acc_seg": 63.60615, "loss": 0.59375, "time": 0.39967} -{"mode": "train", "epoch": 53, "iter": 66650, "lr": 4e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.32438, "decode.acc_seg": 70.93825, "aux.loss_seg": 0.23152, "aux.acc_seg": 64.13657, "loss": 0.5559, "time": 0.4099} -{"mode": "train", "epoch": 53, "iter": 66700, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.32851, "decode.acc_seg": 70.26491, "aux.loss_seg": 0.23331, "aux.acc_seg": 63.54127, "loss": 0.56182, "time": 0.39377} -{"mode": "train", "epoch": 53, "iter": 66750, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.33128, "decode.acc_seg": 69.83699, "aux.loss_seg": 0.2357, "aux.acc_seg": 62.97187, "loss": 0.56698, "time": 0.41052} -{"mode": "train", "epoch": 53, "iter": 66800, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.32401, "decode.acc_seg": 70.62997, "aux.loss_seg": 0.22705, "aux.acc_seg": 64.45961, "loss": 0.55106, "time": 0.39427} -{"mode": "train", "epoch": 53, "iter": 66850, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.34469, "decode.acc_seg": 71.19412, "aux.loss_seg": 0.24569, "aux.acc_seg": 64.26327, "loss": 0.59038, "time": 0.39214} -{"mode": "train", "epoch": 53, "iter": 66900, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34802, "decode.acc_seg": 69.93311, "aux.loss_seg": 0.24338, "aux.acc_seg": 63.20243, "loss": 0.5914, "time": 0.40428} -{"mode": "train", "epoch": 54, "iter": 66950, "lr": 3e-05, "memory": 17837, "data_time": 0.23776, "decode.loss_seg": 0.33647, "decode.acc_seg": 69.51361, "aux.loss_seg": 0.2407, "aux.acc_seg": 62.65179, "loss": 0.57718, "time": 0.6425} -{"mode": "train", "epoch": 54, "iter": 67000, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.32876, "decode.acc_seg": 70.70384, "aux.loss_seg": 0.23509, "aux.acc_seg": 63.91756, "loss": 0.56384, "time": 0.41481} -{"mode": "train", "epoch": 54, "iter": 67050, "lr": 3e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.3406, "decode.acc_seg": 69.98121, "aux.loss_seg": 0.24627, "aux.acc_seg": 62.39689, "loss": 0.58687, "time": 0.40085} -{"mode": "train", "epoch": 54, "iter": 67100, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34628, "decode.acc_seg": 70.60044, "aux.loss_seg": 0.24504, "aux.acc_seg": 63.67592, "loss": 0.59132, "time": 0.3948} -{"mode": "train", "epoch": 54, "iter": 67150, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.32729, "decode.acc_seg": 70.15298, "aux.loss_seg": 0.24006, "aux.acc_seg": 63.1034, "loss": 0.56735, "time": 0.41231} -{"mode": "train", "epoch": 54, "iter": 67200, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.3463, "decode.acc_seg": 71.05327, "aux.loss_seg": 0.24843, "aux.acc_seg": 64.10111, "loss": 0.59473, "time": 0.4151} -{"mode": "train", "epoch": 54, "iter": 67250, "lr": 3e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.34414, "decode.acc_seg": 70.98859, "aux.loss_seg": 0.24925, "aux.acc_seg": 63.58178, "loss": 0.59339, "time": 0.41657} -{"mode": "train", "epoch": 54, "iter": 67300, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.36433, "decode.acc_seg": 67.39525, "aux.loss_seg": 0.25177, "aux.acc_seg": 60.7145, "loss": 0.6161, "time": 0.41375} -{"mode": "train", "epoch": 54, "iter": 67350, "lr": 3e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.32799, "decode.acc_seg": 69.28518, "aux.loss_seg": 0.24011, "aux.acc_seg": 62.35014, "loss": 0.5681, "time": 0.41202} -{"mode": "train", "epoch": 54, "iter": 67400, "lr": 3e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.33291, "decode.acc_seg": 69.88372, "aux.loss_seg": 0.23735, "aux.acc_seg": 63.20471, "loss": 0.57026, "time": 0.41869} -{"mode": "train", "epoch": 54, "iter": 67450, "lr": 3e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.32543, "decode.acc_seg": 69.77355, "aux.loss_seg": 0.22801, "aux.acc_seg": 63.66679, "loss": 0.55344, "time": 0.40251} -{"mode": "train", "epoch": 54, "iter": 67500, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.33433, "decode.acc_seg": 70.78202, "aux.loss_seg": 0.23843, "aux.acc_seg": 64.20242, "loss": 0.57277, "time": 0.3975} -{"mode": "train", "epoch": 54, "iter": 67550, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.3349, "decode.acc_seg": 70.45806, "aux.loss_seg": 0.2365, "aux.acc_seg": 63.81003, "loss": 0.5714, "time": 0.39412} -{"mode": "train", "epoch": 54, "iter": 67600, "lr": 3e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.33937, "decode.acc_seg": 69.36482, "aux.loss_seg": 0.24308, "aux.acc_seg": 62.36556, "loss": 0.58245, "time": 0.39454} -{"mode": "train", "epoch": 54, "iter": 67650, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.34802, "decode.acc_seg": 70.90397, "aux.loss_seg": 0.23582, "aux.acc_seg": 64.75758, "loss": 0.58384, "time": 0.39307} -{"mode": "train", "epoch": 54, "iter": 67700, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.35194, "decode.acc_seg": 69.87838, "aux.loss_seg": 0.23798, "aux.acc_seg": 63.92111, "loss": 0.58993, "time": 0.394} -{"mode": "train", "epoch": 54, "iter": 67750, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.33193, "decode.acc_seg": 70.40486, "aux.loss_seg": 0.2362, "aux.acc_seg": 63.67456, "loss": 0.56813, "time": 0.39322} -{"mode": "train", "epoch": 54, "iter": 67800, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.35082, "decode.acc_seg": 70.22161, "aux.loss_seg": 0.24668, "aux.acc_seg": 63.38262, "loss": 0.59751, "time": 0.40333} -{"mode": "train", "epoch": 54, "iter": 67850, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.3384, "decode.acc_seg": 70.39315, "aux.loss_seg": 0.24039, "aux.acc_seg": 63.71972, "loss": 0.57879, "time": 0.41671} -{"mode": "train", "epoch": 54, "iter": 67900, "lr": 3e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.34464, "decode.acc_seg": 69.38144, "aux.loss_seg": 0.23942, "aux.acc_seg": 62.83417, "loss": 0.58406, "time": 0.40115} -{"mode": "train", "epoch": 54, "iter": 67950, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.34297, "decode.acc_seg": 69.04976, "aux.loss_seg": 0.23902, "aux.acc_seg": 62.36383, "loss": 0.58199, "time": 0.39558} -{"mode": "train", "epoch": 54, "iter": 68000, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.35078, "decode.acc_seg": 70.10624, "aux.loss_seg": 0.24044, "aux.acc_seg": 63.77956, "loss": 0.59121, "time": 0.40587} -{"mode": "train", "epoch": 54, "iter": 68050, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.33233, "decode.acc_seg": 70.39239, "aux.loss_seg": 0.23689, "aux.acc_seg": 63.15804, "loss": 0.56922, "time": 0.40629} -{"mode": "train", "epoch": 54, "iter": 68100, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.32409, "decode.acc_seg": 69.83223, "aux.loss_seg": 0.22982, "aux.acc_seg": 63.19176, "loss": 0.55391, "time": 0.4036} -{"mode": "train", "epoch": 54, "iter": 68150, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.3458, "decode.acc_seg": 70.78369, "aux.loss_seg": 0.24605, "aux.acc_seg": 63.6004, "loss": 0.59185, "time": 0.40033} -{"mode": "train", "epoch": 54, "iter": 68200, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31969, "decode.acc_seg": 70.4271, "aux.loss_seg": 0.23891, "aux.acc_seg": 63.20062, "loss": 0.55859, "time": 0.40625} -{"mode": "train", "epoch": 55, "iter": 68250, "lr": 3e-05, "memory": 17837, "data_time": 0.24013, "decode.loss_seg": 0.31534, "decode.acc_seg": 70.18091, "aux.loss_seg": 0.22929, "aux.acc_seg": 63.36863, "loss": 0.54463, "time": 0.62783} -{"mode": "train", "epoch": 55, "iter": 68300, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.33157, "decode.acc_seg": 69.68101, "aux.loss_seg": 0.24016, "aux.acc_seg": 62.51892, "loss": 0.57173, "time": 0.39887} -{"mode": "train", "epoch": 55, "iter": 68350, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.32738, "decode.acc_seg": 70.66648, "aux.loss_seg": 0.23756, "aux.acc_seg": 63.63986, "loss": 0.56494, "time": 0.39512} -{"mode": "train", "epoch": 55, "iter": 68400, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.32491, "decode.acc_seg": 71.68282, "aux.loss_seg": 0.23726, "aux.acc_seg": 64.55915, "loss": 0.56217, "time": 0.39938} -{"mode": "train", "epoch": 55, "iter": 68450, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.33623, "decode.acc_seg": 69.84308, "aux.loss_seg": 0.23529, "aux.acc_seg": 63.26481, "loss": 0.57152, "time": 0.40454} -{"mode": "train", "epoch": 55, "iter": 68500, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.32063, "decode.acc_seg": 70.53798, "aux.loss_seg": 0.23102, "aux.acc_seg": 63.7494, "loss": 0.55164, "time": 0.39619} -{"mode": "train", "epoch": 55, "iter": 68550, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.34912, "decode.acc_seg": 68.94952, "aux.loss_seg": 0.23578, "aux.acc_seg": 62.93115, "loss": 0.5849, "time": 0.40984} -{"mode": "train", "epoch": 55, "iter": 68600, "lr": 3e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.32495, "decode.acc_seg": 70.43213, "aux.loss_seg": 0.2422, "aux.acc_seg": 62.96264, "loss": 0.56715, "time": 0.39745} -{"mode": "train", "epoch": 55, "iter": 68650, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.31202, "decode.acc_seg": 71.02799, "aux.loss_seg": 0.21881, "aux.acc_seg": 64.73789, "loss": 0.53083, "time": 0.39388} -{"mode": "train", "epoch": 55, "iter": 68700, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.32376, "decode.acc_seg": 69.81685, "aux.loss_seg": 0.22933, "aux.acc_seg": 63.60163, "loss": 0.55309, "time": 0.39105} -{"mode": "train", "epoch": 55, "iter": 68750, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.34626, "decode.acc_seg": 69.18086, "aux.loss_seg": 0.24005, "aux.acc_seg": 62.82662, "loss": 0.58632, "time": 0.39024} -{"mode": "train", "epoch": 55, "iter": 68800, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.34497, "decode.acc_seg": 69.78749, "aux.loss_seg": 0.2475, "aux.acc_seg": 62.54627, "loss": 0.59247, "time": 0.40558} -{"mode": "train", "epoch": 55, "iter": 68850, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.34889, "decode.acc_seg": 69.27424, "aux.loss_seg": 0.24641, "aux.acc_seg": 62.80267, "loss": 0.5953, "time": 0.39337} -{"mode": "train", "epoch": 55, "iter": 68900, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.347, "decode.acc_seg": 71.06475, "aux.loss_seg": 0.23978, "aux.acc_seg": 64.41143, "loss": 0.58678, "time": 0.40494} -{"mode": "train", "epoch": 55, "iter": 68950, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30455, "decode.acc_seg": 70.88849, "aux.loss_seg": 0.22349, "aux.acc_seg": 64.19854, "loss": 0.52804, "time": 0.40118} -{"mode": "train", "epoch": 55, "iter": 69000, "lr": 3e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.33468, "decode.acc_seg": 69.82404, "aux.loss_seg": 0.23495, "aux.acc_seg": 63.0345, "loss": 0.56963, "time": 0.3952} -{"mode": "train", "epoch": 55, "iter": 69050, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.31821, "decode.acc_seg": 69.85823, "aux.loss_seg": 0.22458, "aux.acc_seg": 63.54345, "loss": 0.54279, "time": 0.39599} -{"mode": "train", "epoch": 55, "iter": 69100, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.33069, "decode.acc_seg": 70.61913, "aux.loss_seg": 0.23923, "aux.acc_seg": 63.87579, "loss": 0.56993, "time": 0.39404} -{"mode": "train", "epoch": 55, "iter": 69150, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.33876, "decode.acc_seg": 70.67992, "aux.loss_seg": 0.23684, "aux.acc_seg": 64.06706, "loss": 0.5756, "time": 0.40035} -{"mode": "train", "epoch": 55, "iter": 69200, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.35115, "decode.acc_seg": 69.35231, "aux.loss_seg": 0.23908, "aux.acc_seg": 63.13609, "loss": 0.59023, "time": 0.41166} -{"mode": "train", "epoch": 55, "iter": 69250, "lr": 3e-05, "memory": 17837, "data_time": 0.0067, "decode.loss_seg": 0.33692, "decode.acc_seg": 71.3448, "aux.loss_seg": 0.24222, "aux.acc_seg": 64.08891, "loss": 0.57914, "time": 0.40048} -{"mode": "train", "epoch": 55, "iter": 69300, "lr": 3e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.33608, "decode.acc_seg": 68.59486, "aux.loss_seg": 0.23185, "aux.acc_seg": 62.14137, "loss": 0.56793, "time": 0.40244} -{"mode": "train", "epoch": 55, "iter": 69350, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.329, "decode.acc_seg": 69.72616, "aux.loss_seg": 0.23536, "aux.acc_seg": 62.87869, "loss": 0.56436, "time": 0.41802} -{"mode": "train", "epoch": 55, "iter": 69400, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.33824, "decode.acc_seg": 69.43704, "aux.loss_seg": 0.2374, "aux.acc_seg": 63.16722, "loss": 0.57564, "time": 0.41137} -{"mode": "train", "epoch": 55, "iter": 69450, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.33321, "decode.acc_seg": 70.3359, "aux.loss_seg": 0.23203, "aux.acc_seg": 63.96997, "loss": 0.56524, "time": 0.39459} -{"mode": "train", "epoch": 56, "iter": 69500, "lr": 3e-05, "memory": 17837, "data_time": 0.24805, "decode.loss_seg": 0.32332, "decode.acc_seg": 70.98486, "aux.loss_seg": 0.2277, "aux.acc_seg": 64.53122, "loss": 0.55102, "time": 0.63214} -{"mode": "train", "epoch": 56, "iter": 69550, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.33217, "decode.acc_seg": 70.00178, "aux.loss_seg": 0.23634, "aux.acc_seg": 63.25121, "loss": 0.56852, "time": 0.39512} -{"mode": "train", "epoch": 56, "iter": 69600, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31932, "decode.acc_seg": 69.31571, "aux.loss_seg": 0.2254, "aux.acc_seg": 62.82735, "loss": 0.54471, "time": 0.39256} -{"mode": "train", "epoch": 56, "iter": 69650, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.34698, "decode.acc_seg": 70.66726, "aux.loss_seg": 0.24076, "aux.acc_seg": 63.78718, "loss": 0.58774, "time": 0.39412} -{"mode": "train", "epoch": 56, "iter": 69700, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.32292, "decode.acc_seg": 72.33158, "aux.loss_seg": 0.22973, "aux.acc_seg": 65.87899, "loss": 0.55265, "time": 0.39965} -{"mode": "train", "epoch": 56, "iter": 69750, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.33274, "decode.acc_seg": 70.50157, "aux.loss_seg": 0.24048, "aux.acc_seg": 63.43318, "loss": 0.57322, "time": 0.39435} -{"mode": "train", "epoch": 56, "iter": 69800, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.31831, "decode.acc_seg": 69.55897, "aux.loss_seg": 0.23847, "aux.acc_seg": 62.25934, "loss": 0.55678, "time": 0.39189} -{"mode": "train", "epoch": 56, "iter": 69850, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.33275, "decode.acc_seg": 69.48069, "aux.loss_seg": 0.23678, "aux.acc_seg": 62.69694, "loss": 0.56954, "time": 0.40086} -{"mode": "train", "epoch": 56, "iter": 69900, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.32126, "decode.acc_seg": 69.78448, "aux.loss_seg": 0.23041, "aux.acc_seg": 63.17121, "loss": 0.55167, "time": 0.40281} -{"mode": "train", "epoch": 56, "iter": 69950, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.33351, "decode.acc_seg": 70.68648, "aux.loss_seg": 0.25111, "aux.acc_seg": 63.2959, "loss": 0.58462, "time": 0.41264} -{"mode": "train", "epoch": 56, "iter": 70000, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.31627, "decode.acc_seg": 71.50363, "aux.loss_seg": 0.23225, "aux.acc_seg": 64.62711, "loss": 0.54852, "time": 0.39905} -{"mode": "train", "epoch": 56, "iter": 70050, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31646, "decode.acc_seg": 69.81067, "aux.loss_seg": 0.23706, "aux.acc_seg": 62.38807, "loss": 0.55352, "time": 0.3952} -{"mode": "train", "epoch": 56, "iter": 70100, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.34716, "decode.acc_seg": 69.36396, "aux.loss_seg": 0.23403, "aux.acc_seg": 63.14619, "loss": 0.58119, "time": 0.40221} -{"mode": "train", "epoch": 56, "iter": 70150, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.33875, "decode.acc_seg": 69.5634, "aux.loss_seg": 0.2405, "aux.acc_seg": 62.87756, "loss": 0.57925, "time": 0.4075} -{"mode": "train", "epoch": 56, "iter": 70200, "lr": 3e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.32615, "decode.acc_seg": 68.93384, "aux.loss_seg": 0.23622, "aux.acc_seg": 61.94351, "loss": 0.56237, "time": 0.40414} -{"mode": "train", "epoch": 56, "iter": 70250, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.31553, "decode.acc_seg": 71.54957, "aux.loss_seg": 0.22744, "aux.acc_seg": 65.11391, "loss": 0.54297, "time": 0.40554} -{"mode": "train", "epoch": 56, "iter": 70300, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.32356, "decode.acc_seg": 68.67293, "aux.loss_seg": 0.23059, "aux.acc_seg": 62.15964, "loss": 0.55415, "time": 0.39291} -{"mode": "train", "epoch": 56, "iter": 70350, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.33297, "decode.acc_seg": 69.63324, "aux.loss_seg": 0.23934, "aux.acc_seg": 62.92274, "loss": 0.57231, "time": 0.3938} -{"mode": "train", "epoch": 56, "iter": 70400, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31615, "decode.acc_seg": 71.2242, "aux.loss_seg": 0.2311, "aux.acc_seg": 64.29289, "loss": 0.54725, "time": 0.39666} -{"mode": "train", "epoch": 56, "iter": 70450, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.31361, "decode.acc_seg": 71.34615, "aux.loss_seg": 0.22618, "aux.acc_seg": 64.90696, "loss": 0.5398, "time": 0.40604} -{"mode": "train", "epoch": 56, "iter": 70500, "lr": 3e-05, "memory": 17837, "data_time": 0.00706, "decode.loss_seg": 0.33567, "decode.acc_seg": 70.51857, "aux.loss_seg": 0.2268, "aux.acc_seg": 64.80469, "loss": 0.56247, "time": 0.41683} -{"mode": "train", "epoch": 56, "iter": 70550, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.33264, "decode.acc_seg": 70.64557, "aux.loss_seg": 0.23549, "aux.acc_seg": 64.10796, "loss": 0.56813, "time": 0.39738} -{"mode": "train", "epoch": 56, "iter": 70600, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.32766, "decode.acc_seg": 70.00937, "aux.loss_seg": 0.23918, "aux.acc_seg": 63.10177, "loss": 0.56684, "time": 0.3955} -{"mode": "train", "epoch": 56, "iter": 70650, "lr": 3e-05, "memory": 17837, "data_time": 0.00714, "decode.loss_seg": 0.35064, "decode.acc_seg": 70.6144, "aux.loss_seg": 0.24543, "aux.acc_seg": 64.20755, "loss": 0.59608, "time": 0.40708} -{"mode": "train", "epoch": 56, "iter": 70700, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.34368, "decode.acc_seg": 70.99657, "aux.loss_seg": 0.25216, "aux.acc_seg": 63.57714, "loss": 0.59584, "time": 0.39504} -{"mode": "train", "epoch": 57, "iter": 70750, "lr": 3e-05, "memory": 17837, "data_time": 0.24193, "decode.loss_seg": 0.32603, "decode.acc_seg": 71.40777, "aux.loss_seg": 0.23393, "aux.acc_seg": 64.73489, "loss": 0.55996, "time": 0.63375} -{"mode": "train", "epoch": 57, "iter": 70800, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.32235, "decode.acc_seg": 71.176, "aux.loss_seg": 0.22153, "aux.acc_seg": 65.55342, "loss": 0.54388, "time": 0.40089} -{"mode": "train", "epoch": 57, "iter": 70850, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.33918, "decode.acc_seg": 69.67839, "aux.loss_seg": 0.23901, "aux.acc_seg": 63.11826, "loss": 0.57819, "time": 0.3951} -{"mode": "train", "epoch": 57, "iter": 70900, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.32652, "decode.acc_seg": 70.54823, "aux.loss_seg": 0.22939, "aux.acc_seg": 64.04266, "loss": 0.55591, "time": 0.39562} -{"mode": "train", "epoch": 57, "iter": 70950, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.31828, "decode.acc_seg": 70.73219, "aux.loss_seg": 0.23125, "aux.acc_seg": 63.78931, "loss": 0.54953, "time": 0.39587} -{"mode": "train", "epoch": 57, "iter": 71000, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.3022, "decode.acc_seg": 72.1332, "aux.loss_seg": 0.2341, "aux.acc_seg": 64.47078, "loss": 0.5363, "time": 0.39717} -{"mode": "train", "epoch": 57, "iter": 71050, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.33227, "decode.acc_seg": 70.26666, "aux.loss_seg": 0.23881, "aux.acc_seg": 63.29538, "loss": 0.57109, "time": 0.39485} -{"mode": "train", "epoch": 57, "iter": 71100, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.33775, "decode.acc_seg": 70.95397, "aux.loss_seg": 0.24056, "aux.acc_seg": 64.09983, "loss": 0.57831, "time": 0.40139} -{"mode": "train", "epoch": 57, "iter": 71150, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.32056, "decode.acc_seg": 69.86423, "aux.loss_seg": 0.23104, "aux.acc_seg": 63.2407, "loss": 0.5516, "time": 0.39416} -{"mode": "train", "epoch": 57, "iter": 71200, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.3422, "decode.acc_seg": 71.66646, "aux.loss_seg": 0.24239, "aux.acc_seg": 64.8224, "loss": 0.58458, "time": 0.40835} -{"mode": "train", "epoch": 57, "iter": 71250, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.323, "decode.acc_seg": 71.98146, "aux.loss_seg": 0.22752, "aux.acc_seg": 65.43795, "loss": 0.55052, "time": 0.39778} -{"mode": "train", "epoch": 57, "iter": 71300, "lr": 3e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.31512, "decode.acc_seg": 71.10254, "aux.loss_seg": 0.22623, "aux.acc_seg": 64.91027, "loss": 0.54135, "time": 0.41272} -{"mode": "train", "epoch": 57, "iter": 71350, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.32213, "decode.acc_seg": 69.225, "aux.loss_seg": 0.22726, "aux.acc_seg": 62.93706, "loss": 0.54939, "time": 0.39116} -{"mode": "train", "epoch": 57, "iter": 71400, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.32131, "decode.acc_seg": 70.21126, "aux.loss_seg": 0.23372, "aux.acc_seg": 63.26014, "loss": 0.55503, "time": 0.39203} -{"mode": "train", "epoch": 57, "iter": 71450, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.3303, "decode.acc_seg": 70.01394, "aux.loss_seg": 0.23961, "aux.acc_seg": 63.04156, "loss": 0.56991, "time": 0.39803} -{"mode": "train", "epoch": 57, "iter": 71500, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.32839, "decode.acc_seg": 69.46035, "aux.loss_seg": 0.23554, "aux.acc_seg": 62.72201, "loss": 0.56393, "time": 0.40003} -{"mode": "train", "epoch": 57, "iter": 71550, "lr": 3e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.31799, "decode.acc_seg": 70.11201, "aux.loss_seg": 0.22882, "aux.acc_seg": 63.49345, "loss": 0.54681, "time": 0.41251} -{"mode": "train", "epoch": 57, "iter": 71600, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.324, "decode.acc_seg": 70.20712, "aux.loss_seg": 0.23521, "aux.acc_seg": 63.58167, "loss": 0.55921, "time": 0.3951} -{"mode": "train", "epoch": 57, "iter": 71650, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.33005, "decode.acc_seg": 70.01651, "aux.loss_seg": 0.24115, "aux.acc_seg": 63.13148, "loss": 0.5712, "time": 0.40983} -{"mode": "train", "epoch": 57, "iter": 71700, "lr": 3e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.32549, "decode.acc_seg": 69.25607, "aux.loss_seg": 0.22616, "aux.acc_seg": 63.17164, "loss": 0.55166, "time": 0.41026} -{"mode": "train", "epoch": 57, "iter": 71750, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.33009, "decode.acc_seg": 68.50708, "aux.loss_seg": 0.22989, "aux.acc_seg": 62.44238, "loss": 0.55997, "time": 0.40254} -{"mode": "train", "epoch": 57, "iter": 71800, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.33153, "decode.acc_seg": 71.29622, "aux.loss_seg": 0.23633, "aux.acc_seg": 64.71875, "loss": 0.56786, "time": 0.3995} -{"mode": "train", "epoch": 57, "iter": 71850, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.35781, "decode.acc_seg": 67.84738, "aux.loss_seg": 0.2451, "aux.acc_seg": 61.24581, "loss": 0.60291, "time": 0.40424} -{"mode": "train", "epoch": 57, "iter": 71900, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.33736, "decode.acc_seg": 70.78822, "aux.loss_seg": 0.2459, "aux.acc_seg": 63.79638, "loss": 0.58326, "time": 0.39466} -{"mode": "train", "epoch": 57, "iter": 71950, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3255, "decode.acc_seg": 67.81385, "aux.loss_seg": 0.22891, "aux.acc_seg": 61.37322, "loss": 0.5544, "time": 0.39835} -{"mode": "train", "epoch": 58, "iter": 72000, "lr": 3e-05, "memory": 17837, "data_time": 0.24455, "decode.loss_seg": 0.35838, "decode.acc_seg": 69.2967, "aux.loss_seg": 0.25229, "aux.acc_seg": 62.45201, "loss": 0.61067, "time": 0.63793} -{"mode": "train", "epoch": 58, "iter": 72050, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32299, "decode.acc_seg": 70.34674, "aux.loss_seg": 0.23338, "aux.acc_seg": 63.27787, "loss": 0.55637, "time": 0.39481} -{"mode": "train", "epoch": 58, "iter": 72100, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.33063, "decode.acc_seg": 70.92788, "aux.loss_seg": 0.23921, "aux.acc_seg": 64.10394, "loss": 0.56984, "time": 0.39991} -{"mode": "train", "epoch": 58, "iter": 72150, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.34005, "decode.acc_seg": 69.68341, "aux.loss_seg": 0.24247, "aux.acc_seg": 62.97941, "loss": 0.58252, "time": 0.40229} -{"mode": "train", "epoch": 58, "iter": 72200, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.33072, "decode.acc_seg": 69.75394, "aux.loss_seg": 0.24005, "aux.acc_seg": 62.885, "loss": 0.57076, "time": 0.39312} -{"mode": "train", "epoch": 58, "iter": 72250, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.34255, "decode.acc_seg": 70.65171, "aux.loss_seg": 0.2339, "aux.acc_seg": 64.53212, "loss": 0.57645, "time": 0.41008} -{"mode": "train", "epoch": 58, "iter": 72300, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.31874, "decode.acc_seg": 68.99531, "aux.loss_seg": 0.22903, "aux.acc_seg": 62.59022, "loss": 0.54777, "time": 0.40154} -{"mode": "train", "epoch": 58, "iter": 72350, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.34089, "decode.acc_seg": 70.64167, "aux.loss_seg": 0.24603, "aux.acc_seg": 63.54546, "loss": 0.58692, "time": 0.39382} -{"mode": "train", "epoch": 58, "iter": 72400, "lr": 3e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.31244, "decode.acc_seg": 71.75376, "aux.loss_seg": 0.22818, "aux.acc_seg": 65.06435, "loss": 0.54062, "time": 0.40112} -{"mode": "train", "epoch": 58, "iter": 72450, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.3207, "decode.acc_seg": 70.87671, "aux.loss_seg": 0.22837, "aux.acc_seg": 64.74905, "loss": 0.54907, "time": 0.39476} -{"mode": "train", "epoch": 58, "iter": 72500, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31967, "decode.acc_seg": 69.5332, "aux.loss_seg": 0.22595, "aux.acc_seg": 63.32308, "loss": 0.54562, "time": 0.41136} -{"mode": "train", "epoch": 58, "iter": 72550, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.33518, "decode.acc_seg": 70.87637, "aux.loss_seg": 0.23976, "aux.acc_seg": 63.99293, "loss": 0.57495, "time": 0.40636} -{"mode": "train", "epoch": 58, "iter": 72600, "lr": 3e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.32456, "decode.acc_seg": 69.89173, "aux.loss_seg": 0.22869, "aux.acc_seg": 63.41422, "loss": 0.55325, "time": 0.40574} -{"mode": "train", "epoch": 58, "iter": 72650, "lr": 3e-05, "memory": 17837, "data_time": 0.00671, "decode.loss_seg": 0.32178, "decode.acc_seg": 70.30593, "aux.loss_seg": 0.24189, "aux.acc_seg": 62.96751, "loss": 0.56367, "time": 0.41256} -{"mode": "train", "epoch": 58, "iter": 72700, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.32596, "decode.acc_seg": 71.56897, "aux.loss_seg": 0.2343, "aux.acc_seg": 64.77955, "loss": 0.56026, "time": 0.40419} -{"mode": "train", "epoch": 58, "iter": 72750, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.31052, "decode.acc_seg": 69.97683, "aux.loss_seg": 0.23031, "aux.acc_seg": 62.94592, "loss": 0.54083, "time": 0.40686} -{"mode": "train", "epoch": 58, "iter": 72800, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.31906, "decode.acc_seg": 70.93541, "aux.loss_seg": 0.23302, "aux.acc_seg": 64.40383, "loss": 0.55208, "time": 0.39715} -{"mode": "train", "epoch": 58, "iter": 72850, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.32373, "decode.acc_seg": 69.2128, "aux.loss_seg": 0.23239, "aux.acc_seg": 62.45176, "loss": 0.55612, "time": 0.39144} -{"mode": "train", "epoch": 58, "iter": 72900, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.312, "decode.acc_seg": 69.15693, "aux.loss_seg": 0.23073, "aux.acc_seg": 62.33787, "loss": 0.54273, "time": 0.39134} -{"mode": "train", "epoch": 58, "iter": 72950, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.33223, "decode.acc_seg": 69.40513, "aux.loss_seg": 0.24365, "aux.acc_seg": 62.01042, "loss": 0.57588, "time": 0.39115} -{"mode": "train", "epoch": 58, "iter": 73000, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.32061, "decode.acc_seg": 70.47002, "aux.loss_seg": 0.22509, "aux.acc_seg": 64.49222, "loss": 0.54569, "time": 0.39137} -{"mode": "train", "epoch": 58, "iter": 73050, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32072, "decode.acc_seg": 69.40492, "aux.loss_seg": 0.22374, "aux.acc_seg": 63.22455, "loss": 0.54446, "time": 0.40029} -{"mode": "train", "epoch": 58, "iter": 73100, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.32131, "decode.acc_seg": 71.00775, "aux.loss_seg": 0.23026, "aux.acc_seg": 64.32446, "loss": 0.55158, "time": 0.39417} -{"mode": "train", "epoch": 58, "iter": 73150, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.32793, "decode.acc_seg": 69.6401, "aux.loss_seg": 0.2374, "aux.acc_seg": 62.78039, "loss": 0.56533, "time": 0.39936} -{"mode": "train", "epoch": 58, "iter": 73200, "lr": 3e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.34368, "decode.acc_seg": 71.05185, "aux.loss_seg": 0.24805, "aux.acc_seg": 63.90265, "loss": 0.59172, "time": 0.39859} -{"mode": "train", "epoch": 58, "iter": 73250, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.31719, "decode.acc_seg": 70.56976, "aux.loss_seg": 0.22214, "aux.acc_seg": 64.29008, "loss": 0.53933, "time": 0.39185} -{"mode": "train", "epoch": 59, "iter": 73300, "lr": 3e-05, "memory": 17837, "data_time": 0.24355, "decode.loss_seg": 0.31684, "decode.acc_seg": 70.18698, "aux.loss_seg": 0.23043, "aux.acc_seg": 63.50306, "loss": 0.54727, "time": 0.63889} -{"mode": "train", "epoch": 59, "iter": 73350, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.32089, "decode.acc_seg": 70.86978, "aux.loss_seg": 0.23566, "aux.acc_seg": 64.28617, "loss": 0.55655, "time": 0.3935} -{"mode": "train", "epoch": 59, "iter": 73400, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.33074, "decode.acc_seg": 71.57264, "aux.loss_seg": 0.24225, "aux.acc_seg": 64.2115, "loss": 0.57299, "time": 0.40498} -{"mode": "train", "epoch": 59, "iter": 73450, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.33251, "decode.acc_seg": 71.0701, "aux.loss_seg": 0.23558, "aux.acc_seg": 64.40374, "loss": 0.56809, "time": 0.41219} -{"mode": "train", "epoch": 59, "iter": 73500, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.33006, "decode.acc_seg": 70.2879, "aux.loss_seg": 0.23097, "aux.acc_seg": 63.93139, "loss": 0.56103, "time": 0.405} -{"mode": "train", "epoch": 59, "iter": 73550, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.32502, "decode.acc_seg": 70.15558, "aux.loss_seg": 0.23217, "aux.acc_seg": 63.49581, "loss": 0.55719, "time": 0.40394} -{"mode": "train", "epoch": 59, "iter": 73600, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.31812, "decode.acc_seg": 71.27645, "aux.loss_seg": 0.24191, "aux.acc_seg": 63.69307, "loss": 0.56003, "time": 0.40163} -{"mode": "train", "epoch": 59, "iter": 73650, "lr": 3e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.32445, "decode.acc_seg": 69.47648, "aux.loss_seg": 0.23507, "aux.acc_seg": 62.53103, "loss": 0.55953, "time": 0.418} -{"mode": "train", "epoch": 59, "iter": 73700, "lr": 3e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.33101, "decode.acc_seg": 70.85645, "aux.loss_seg": 0.23366, "aux.acc_seg": 64.43232, "loss": 0.56467, "time": 0.39563} -{"mode": "train", "epoch": 59, "iter": 73750, "lr": 3e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.33671, "decode.acc_seg": 70.21459, "aux.loss_seg": 0.23739, "aux.acc_seg": 63.87519, "loss": 0.5741, "time": 0.41709} -{"mode": "train", "epoch": 59, "iter": 73800, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.31382, "decode.acc_seg": 69.87858, "aux.loss_seg": 0.23173, "aux.acc_seg": 62.97115, "loss": 0.54555, "time": 0.4045} -{"mode": "train", "epoch": 59, "iter": 73850, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.31344, "decode.acc_seg": 70.55093, "aux.loss_seg": 0.23032, "aux.acc_seg": 63.76163, "loss": 0.54376, "time": 0.39168} -{"mode": "train", "epoch": 59, "iter": 73900, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.32606, "decode.acc_seg": 69.00652, "aux.loss_seg": 0.23724, "aux.acc_seg": 62.12014, "loss": 0.5633, "time": 0.3942} -{"mode": "train", "epoch": 59, "iter": 73950, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.31822, "decode.acc_seg": 70.42262, "aux.loss_seg": 0.23402, "aux.acc_seg": 63.23983, "loss": 0.55223, "time": 0.39427} -{"mode": "train", "epoch": 59, "iter": 74000, "lr": 3e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.32676, "decode.acc_seg": 72.088, "aux.loss_seg": 0.23046, "aux.acc_seg": 65.73127, "loss": 0.55722, "time": 0.39542} -{"mode": "train", "epoch": 59, "iter": 74050, "lr": 3e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.32963, "decode.acc_seg": 71.26747, "aux.loss_seg": 0.23424, "aux.acc_seg": 64.20509, "loss": 0.56387, "time": 0.39217} -{"mode": "train", "epoch": 59, "iter": 74100, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.32903, "decode.acc_seg": 71.47422, "aux.loss_seg": 0.23518, "aux.acc_seg": 64.88174, "loss": 0.56421, "time": 0.40005} -{"mode": "train", "epoch": 59, "iter": 74150, "lr": 3e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.333, "decode.acc_seg": 70.14759, "aux.loss_seg": 0.23643, "aux.acc_seg": 63.54552, "loss": 0.56943, "time": 0.39501} -{"mode": "train", "epoch": 59, "iter": 74200, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.32346, "decode.acc_seg": 69.79217, "aux.loss_seg": 0.23534, "aux.acc_seg": 62.98842, "loss": 0.5588, "time": 0.39898} -{"mode": "train", "epoch": 59, "iter": 74250, "lr": 3e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.31168, "decode.acc_seg": 70.68483, "aux.loss_seg": 0.2247, "aux.acc_seg": 64.12613, "loss": 0.53638, "time": 0.4123} -{"mode": "train", "epoch": 59, "iter": 74300, "lr": 3e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.31012, "decode.acc_seg": 70.50548, "aux.loss_seg": 0.23126, "aux.acc_seg": 63.54975, "loss": 0.54138, "time": 0.40007} -{"mode": "train", "epoch": 59, "iter": 74350, "lr": 3e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.311, "decode.acc_seg": 70.71662, "aux.loss_seg": 0.23003, "aux.acc_seg": 63.77876, "loss": 0.54103, "time": 0.39629} -{"mode": "train", "epoch": 59, "iter": 74400, "lr": 3e-05, "memory": 17837, "data_time": 0.00708, "decode.loss_seg": 0.32261, "decode.acc_seg": 70.51278, "aux.loss_seg": 0.22726, "aux.acc_seg": 64.1165, "loss": 0.54987, "time": 0.39721} -{"mode": "train", "epoch": 59, "iter": 74450, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.32621, "decode.acc_seg": 70.49377, "aux.loss_seg": 0.23673, "aux.acc_seg": 63.66663, "loss": 0.56294, "time": 0.39667} -{"mode": "train", "epoch": 59, "iter": 74500, "lr": 3e-05, "memory": 17837, "data_time": 0.00688, "decode.loss_seg": 0.34449, "decode.acc_seg": 71.03636, "aux.loss_seg": 0.24768, "aux.acc_seg": 63.77066, "loss": 0.59217, "time": 0.413} -{"mode": "train", "epoch": 60, "iter": 74550, "lr": 3e-05, "memory": 17837, "data_time": 0.23901, "decode.loss_seg": 0.32518, "decode.acc_seg": 70.80669, "aux.loss_seg": 0.23978, "aux.acc_seg": 63.70605, "loss": 0.56496, "time": 0.63575} -{"mode": "train", "epoch": 60, "iter": 74600, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.32368, "decode.acc_seg": 71.17886, "aux.loss_seg": 0.23637, "aux.acc_seg": 64.05649, "loss": 0.56005, "time": 0.3971} -{"mode": "train", "epoch": 60, "iter": 74650, "lr": 3e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.30724, "decode.acc_seg": 71.71982, "aux.loss_seg": 0.22969, "aux.acc_seg": 64.48166, "loss": 0.53693, "time": 0.39816} -{"mode": "train", "epoch": 60, "iter": 74700, "lr": 3e-05, "memory": 17837, "data_time": 0.00706, "decode.loss_seg": 0.3064, "decode.acc_seg": 69.56009, "aux.loss_seg": 0.22407, "aux.acc_seg": 62.72636, "loss": 0.53048, "time": 0.4043} -{"mode": "train", "epoch": 60, "iter": 74750, "lr": 3e-05, "memory": 17837, "data_time": 0.00717, "decode.loss_seg": 0.31812, "decode.acc_seg": 70.85607, "aux.loss_seg": 0.2307, "aux.acc_seg": 63.98499, "loss": 0.54881, "time": 0.40418} -{"mode": "train", "epoch": 60, "iter": 74800, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.32592, "decode.acc_seg": 70.69524, "aux.loss_seg": 0.24179, "aux.acc_seg": 63.57346, "loss": 0.56771, "time": 0.41655} -{"mode": "train", "epoch": 60, "iter": 74850, "lr": 3e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.31631, "decode.acc_seg": 70.58129, "aux.loss_seg": 0.22518, "aux.acc_seg": 64.07365, "loss": 0.54148, "time": 0.40402} -{"mode": "train", "epoch": 60, "iter": 74900, "lr": 3e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.31257, "decode.acc_seg": 70.97484, "aux.loss_seg": 0.22542, "aux.acc_seg": 64.66549, "loss": 0.53799, "time": 0.40288} -{"mode": "train", "epoch": 60, "iter": 74950, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.31699, "decode.acc_seg": 70.8848, "aux.loss_seg": 0.2299, "aux.acc_seg": 64.31734, "loss": 0.54688, "time": 0.40127} -{"mode": "train", "epoch": 60, "iter": 75000, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.32632, "decode.acc_seg": 69.82074, "aux.loss_seg": 0.23702, "aux.acc_seg": 63.04556, "loss": 0.56334, "time": 0.40369} -{"mode": "train", "epoch": 60, "iter": 75050, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.30712, "decode.acc_seg": 71.72143, "aux.loss_seg": 0.22734, "aux.acc_seg": 65.22926, "loss": 0.53446, "time": 0.3933} -{"mode": "train", "epoch": 60, "iter": 75100, "lr": 3e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.30631, "decode.acc_seg": 70.61766, "aux.loss_seg": 0.21994, "aux.acc_seg": 64.35401, "loss": 0.52625, "time": 0.40176} -{"mode": "train", "epoch": 60, "iter": 75150, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32495, "decode.acc_seg": 68.0327, "aux.loss_seg": 0.23637, "aux.acc_seg": 61.21487, "loss": 0.56132, "time": 0.39225} -{"mode": "train", "epoch": 60, "iter": 75200, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.3273, "decode.acc_seg": 71.04468, "aux.loss_seg": 0.22718, "aux.acc_seg": 64.8647, "loss": 0.55448, "time": 0.39218} -{"mode": "train", "epoch": 60, "iter": 75250, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.33751, "decode.acc_seg": 69.7448, "aux.loss_seg": 0.24244, "aux.acc_seg": 62.71464, "loss": 0.57994, "time": 0.3947} -{"mode": "train", "epoch": 60, "iter": 75300, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32944, "decode.acc_seg": 70.69877, "aux.loss_seg": 0.23548, "aux.acc_seg": 64.24922, "loss": 0.56492, "time": 0.39453} -{"mode": "train", "epoch": 60, "iter": 75350, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.32021, "decode.acc_seg": 70.32858, "aux.loss_seg": 0.22417, "aux.acc_seg": 64.305, "loss": 0.54438, "time": 0.39478} -{"mode": "train", "epoch": 60, "iter": 75400, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.30843, "decode.acc_seg": 71.01071, "aux.loss_seg": 0.21923, "aux.acc_seg": 64.83772, "loss": 0.52766, "time": 0.39666} -{"mode": "train", "epoch": 60, "iter": 75450, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.31667, "decode.acc_seg": 70.93532, "aux.loss_seg": 0.22897, "aux.acc_seg": 64.009, "loss": 0.54564, "time": 0.39334} -{"mode": "train", "epoch": 60, "iter": 75500, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.31747, "decode.acc_seg": 70.285, "aux.loss_seg": 0.2169, "aux.acc_seg": 64.25849, "loss": 0.53437, "time": 0.40598} -{"mode": "train", "epoch": 60, "iter": 75550, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30668, "decode.acc_seg": 70.55166, "aux.loss_seg": 0.21812, "aux.acc_seg": 64.2645, "loss": 0.5248, "time": 0.40219} -{"mode": "train", "epoch": 60, "iter": 75600, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.30496, "decode.acc_seg": 71.01455, "aux.loss_seg": 0.22286, "aux.acc_seg": 64.1665, "loss": 0.52782, "time": 0.39594} -{"mode": "train", "epoch": 60, "iter": 75650, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.33136, "decode.acc_seg": 70.08373, "aux.loss_seg": 0.23337, "aux.acc_seg": 63.87116, "loss": 0.56473, "time": 0.39737} -{"mode": "train", "epoch": 60, "iter": 75700, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.32974, "decode.acc_seg": 70.29792, "aux.loss_seg": 0.24203, "aux.acc_seg": 63.55184, "loss": 0.57177, "time": 0.40766} -{"mode": "train", "epoch": 60, "iter": 75750, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.31516, "decode.acc_seg": 70.49156, "aux.loss_seg": 0.22637, "aux.acc_seg": 64.03927, "loss": 0.54153, "time": 0.39368} -{"mode": "train", "epoch": 61, "iter": 75800, "lr": 3e-05, "memory": 17837, "data_time": 0.23787, "decode.loss_seg": 0.31755, "decode.acc_seg": 69.91758, "aux.loss_seg": 0.2294, "aux.acc_seg": 63.0894, "loss": 0.54695, "time": 0.62643} -{"mode": "train", "epoch": 61, "iter": 75850, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.32172, "decode.acc_seg": 71.27935, "aux.loss_seg": 0.23037, "aux.acc_seg": 64.72785, "loss": 0.55208, "time": 0.39257} -{"mode": "train", "epoch": 61, "iter": 75900, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.32533, "decode.acc_seg": 71.44349, "aux.loss_seg": 0.24059, "aux.acc_seg": 64.12144, "loss": 0.56592, "time": 0.39108} -{"mode": "train", "epoch": 61, "iter": 75950, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29991, "decode.acc_seg": 70.13466, "aux.loss_seg": 0.21265, "aux.acc_seg": 63.98531, "loss": 0.51256, "time": 0.39043} -{"mode": "train", "epoch": 61, "iter": 76000, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30337, "decode.acc_seg": 70.5964, "aux.loss_seg": 0.22854, "aux.acc_seg": 63.5781, "loss": 0.53191, "time": 0.39224} -{"mode": "train", "epoch": 61, "iter": 76050, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.3159, "decode.acc_seg": 69.77667, "aux.loss_seg": 0.23257, "aux.acc_seg": 62.9736, "loss": 0.54848, "time": 0.39697} -{"mode": "train", "epoch": 61, "iter": 76100, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.30051, "decode.acc_seg": 70.08625, "aux.loss_seg": 0.21941, "aux.acc_seg": 63.9275, "loss": 0.51991, "time": 0.40422} -{"mode": "train", "epoch": 61, "iter": 76150, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.31836, "decode.acc_seg": 70.29702, "aux.loss_seg": 0.22676, "aux.acc_seg": 64.26377, "loss": 0.54512, "time": 0.39704} -{"mode": "train", "epoch": 61, "iter": 76200, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31387, "decode.acc_seg": 69.47718, "aux.loss_seg": 0.22735, "aux.acc_seg": 62.65932, "loss": 0.54122, "time": 0.39406} -{"mode": "train", "epoch": 61, "iter": 76250, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.30609, "decode.acc_seg": 71.69288, "aux.loss_seg": 0.22338, "aux.acc_seg": 65.3014, "loss": 0.52947, "time": 0.40542} -{"mode": "train", "epoch": 61, "iter": 76300, "lr": 3e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.32033, "decode.acc_seg": 70.24107, "aux.loss_seg": 0.23122, "aux.acc_seg": 63.75878, "loss": 0.55155, "time": 0.40507} -{"mode": "train", "epoch": 61, "iter": 76350, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.31634, "decode.acc_seg": 70.79915, "aux.loss_seg": 0.23734, "aux.acc_seg": 63.63414, "loss": 0.55368, "time": 0.40312} -{"mode": "train", "epoch": 61, "iter": 76400, "lr": 3e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.32129, "decode.acc_seg": 70.48813, "aux.loss_seg": 0.23372, "aux.acc_seg": 63.29938, "loss": 0.55502, "time": 0.39416} -{"mode": "train", "epoch": 61, "iter": 76450, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.30783, "decode.acc_seg": 71.49956, "aux.loss_seg": 0.23003, "aux.acc_seg": 64.63832, "loss": 0.53786, "time": 0.40942} -{"mode": "train", "epoch": 61, "iter": 76500, "lr": 3e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.33092, "decode.acc_seg": 70.32954, "aux.loss_seg": 0.24031, "aux.acc_seg": 63.47489, "loss": 0.57123, "time": 0.40593} -{"mode": "train", "epoch": 61, "iter": 76550, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.32488, "decode.acc_seg": 70.19013, "aux.loss_seg": 0.22601, "aux.acc_seg": 64.1971, "loss": 0.55088, "time": 0.39919} -{"mode": "train", "epoch": 61, "iter": 76600, "lr": 3e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.31533, "decode.acc_seg": 70.19302, "aux.loss_seg": 0.21657, "aux.acc_seg": 64.181, "loss": 0.5319, "time": 0.39274} -{"mode": "train", "epoch": 61, "iter": 76650, "lr": 3e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.31836, "decode.acc_seg": 70.54478, "aux.loss_seg": 0.23097, "aux.acc_seg": 63.77009, "loss": 0.54933, "time": 0.39521} -{"mode": "train", "epoch": 61, "iter": 76700, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30396, "decode.acc_seg": 70.32216, "aux.loss_seg": 0.22715, "aux.acc_seg": 63.23213, "loss": 0.53111, "time": 0.39925} -{"mode": "train", "epoch": 61, "iter": 76750, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.32051, "decode.acc_seg": 71.02359, "aux.loss_seg": 0.2314, "aux.acc_seg": 64.35688, "loss": 0.55191, "time": 0.40987} -{"mode": "train", "epoch": 61, "iter": 76800, "lr": 3e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.31852, "decode.acc_seg": 70.68439, "aux.loss_seg": 0.23205, "aux.acc_seg": 63.71992, "loss": 0.55057, "time": 0.39367} -{"mode": "train", "epoch": 61, "iter": 76850, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.32692, "decode.acc_seg": 70.57228, "aux.loss_seg": 0.23828, "aux.acc_seg": 63.47421, "loss": 0.5652, "time": 0.39327} -{"mode": "train", "epoch": 61, "iter": 76900, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.32591, "decode.acc_seg": 69.04444, "aux.loss_seg": 0.22402, "aux.acc_seg": 63.00209, "loss": 0.54993, "time": 0.40353} -{"mode": "train", "epoch": 61, "iter": 76950, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.33576, "decode.acc_seg": 68.6254, "aux.loss_seg": 0.24715, "aux.acc_seg": 61.01321, "loss": 0.58291, "time": 0.40117} -{"mode": "train", "epoch": 61, "iter": 77000, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.3186, "decode.acc_seg": 70.00626, "aux.loss_seg": 0.23178, "aux.acc_seg": 63.31407, "loss": 0.55039, "time": 0.3969} -{"mode": "train", "epoch": 62, "iter": 77050, "lr": 3e-05, "memory": 17837, "data_time": 0.23809, "decode.loss_seg": 0.31856, "decode.acc_seg": 70.05284, "aux.loss_seg": 0.23185, "aux.acc_seg": 63.41925, "loss": 0.55041, "time": 0.62447} -{"mode": "train", "epoch": 62, "iter": 77100, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32247, "decode.acc_seg": 71.08716, "aux.loss_seg": 0.23282, "aux.acc_seg": 64.46562, "loss": 0.55528, "time": 0.40096} -{"mode": "train", "epoch": 62, "iter": 77150, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.31081, "decode.acc_seg": 69.68323, "aux.loss_seg": 0.22804, "aux.acc_seg": 62.97958, "loss": 0.53885, "time": 0.41161} -{"mode": "train", "epoch": 62, "iter": 77200, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.30273, "decode.acc_seg": 71.22465, "aux.loss_seg": 0.22621, "aux.acc_seg": 64.09703, "loss": 0.52894, "time": 0.39951} -{"mode": "train", "epoch": 62, "iter": 77250, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.29781, "decode.acc_seg": 71.57657, "aux.loss_seg": 0.22672, "aux.acc_seg": 64.7263, "loss": 0.52453, "time": 0.40047} -{"mode": "train", "epoch": 62, "iter": 77300, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.30529, "decode.acc_seg": 71.07893, "aux.loss_seg": 0.22156, "aux.acc_seg": 64.48704, "loss": 0.52685, "time": 0.40595} -{"mode": "train", "epoch": 62, "iter": 77350, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.31138, "decode.acc_seg": 69.75621, "aux.loss_seg": 0.23081, "aux.acc_seg": 63.14899, "loss": 0.54219, "time": 0.39662} -{"mode": "train", "epoch": 62, "iter": 77400, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.32204, "decode.acc_seg": 71.27168, "aux.loss_seg": 0.24197, "aux.acc_seg": 63.81647, "loss": 0.56401, "time": 0.41317} -{"mode": "train", "epoch": 62, "iter": 77450, "lr": 3e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.30473, "decode.acc_seg": 69.96612, "aux.loss_seg": 0.2205, "aux.acc_seg": 63.47683, "loss": 0.52523, "time": 0.40812} -{"mode": "train", "epoch": 62, "iter": 77500, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.32057, "decode.acc_seg": 71.50536, "aux.loss_seg": 0.22671, "aux.acc_seg": 65.12794, "loss": 0.54728, "time": 0.41617} -{"mode": "train", "epoch": 62, "iter": 77550, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.32016, "decode.acc_seg": 71.41901, "aux.loss_seg": 0.22881, "aux.acc_seg": 65.05247, "loss": 0.54897, "time": 0.39929} -{"mode": "train", "epoch": 62, "iter": 77600, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.31671, "decode.acc_seg": 70.39922, "aux.loss_seg": 0.2302, "aux.acc_seg": 63.62499, "loss": 0.5469, "time": 0.39629} -{"mode": "train", "epoch": 62, "iter": 77650, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.3238, "decode.acc_seg": 70.14604, "aux.loss_seg": 0.23095, "aux.acc_seg": 63.64589, "loss": 0.55475, "time": 0.41296} -{"mode": "train", "epoch": 62, "iter": 77700, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.32486, "decode.acc_seg": 69.44577, "aux.loss_seg": 0.22925, "aux.acc_seg": 62.88396, "loss": 0.55412, "time": 0.39698} -{"mode": "train", "epoch": 62, "iter": 77750, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.304, "decode.acc_seg": 71.67041, "aux.loss_seg": 0.23337, "aux.acc_seg": 64.31216, "loss": 0.53737, "time": 0.39459} -{"mode": "train", "epoch": 62, "iter": 77800, "lr": 3e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.32167, "decode.acc_seg": 70.78937, "aux.loss_seg": 0.23523, "aux.acc_seg": 63.74286, "loss": 0.5569, "time": 0.42168} -{"mode": "train", "epoch": 62, "iter": 77850, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.33224, "decode.acc_seg": 69.91615, "aux.loss_seg": 0.24271, "aux.acc_seg": 62.97283, "loss": 0.57496, "time": 0.41021} -{"mode": "train", "epoch": 62, "iter": 77900, "lr": 3e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.31532, "decode.acc_seg": 70.64327, "aux.loss_seg": 0.23311, "aux.acc_seg": 63.27144, "loss": 0.54843, "time": 0.39673} -{"mode": "train", "epoch": 62, "iter": 77950, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.32524, "decode.acc_seg": 69.46346, "aux.loss_seg": 0.23792, "aux.acc_seg": 61.97526, "loss": 0.56315, "time": 0.39216} -{"mode": "train", "epoch": 62, "iter": 78000, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.31512, "decode.acc_seg": 69.01432, "aux.loss_seg": 0.22378, "aux.acc_seg": 62.71086, "loss": 0.5389, "time": 0.39613} -{"mode": "train", "epoch": 62, "iter": 78050, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.31046, "decode.acc_seg": 71.82454, "aux.loss_seg": 0.23022, "aux.acc_seg": 64.98929, "loss": 0.54068, "time": 0.39588} -{"mode": "train", "epoch": 62, "iter": 78100, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.32363, "decode.acc_seg": 70.0588, "aux.loss_seg": 0.23476, "aux.acc_seg": 63.23684, "loss": 0.55839, "time": 0.39311} -{"mode": "train", "epoch": 62, "iter": 78150, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.31789, "decode.acc_seg": 70.58681, "aux.loss_seg": 0.22066, "aux.acc_seg": 64.64115, "loss": 0.53855, "time": 0.39692} -{"mode": "train", "epoch": 62, "iter": 78200, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.30574, "decode.acc_seg": 72.0363, "aux.loss_seg": 0.22464, "aux.acc_seg": 65.16997, "loss": 0.53038, "time": 0.41702} -{"mode": "train", "epoch": 62, "iter": 78250, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.32215, "decode.acc_seg": 69.74506, "aux.loss_seg": 0.23149, "aux.acc_seg": 63.24649, "loss": 0.55364, "time": 0.40702} -{"mode": "train", "epoch": 62, "iter": 78300, "lr": 3e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.32186, "decode.acc_seg": 69.59144, "aux.loss_seg": 0.23135, "aux.acc_seg": 63.22135, "loss": 0.55322, "time": 0.40339} -{"mode": "train", "epoch": 63, "iter": 78350, "lr": 3e-05, "memory": 17837, "data_time": 0.252, "decode.loss_seg": 0.32091, "decode.acc_seg": 70.53693, "aux.loss_seg": 0.23743, "aux.acc_seg": 63.22043, "loss": 0.55834, "time": 0.64413} -{"mode": "train", "epoch": 63, "iter": 78400, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.29863, "decode.acc_seg": 71.33393, "aux.loss_seg": 0.2328, "aux.acc_seg": 63.92205, "loss": 0.53143, "time": 0.41297} -{"mode": "train", "epoch": 63, "iter": 78450, "lr": 3e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.30765, "decode.acc_seg": 70.7964, "aux.loss_seg": 0.22222, "aux.acc_seg": 63.97553, "loss": 0.52987, "time": 0.41572} -{"mode": "train", "epoch": 63, "iter": 78500, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32932, "decode.acc_seg": 69.74899, "aux.loss_seg": 0.22683, "aux.acc_seg": 63.89226, "loss": 0.55615, "time": 0.39213} -{"mode": "train", "epoch": 63, "iter": 78550, "lr": 3e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.29928, "decode.acc_seg": 72.00372, "aux.loss_seg": 0.22544, "aux.acc_seg": 65.04759, "loss": 0.52471, "time": 0.39045} -{"mode": "train", "epoch": 63, "iter": 78600, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31464, "decode.acc_seg": 70.05037, "aux.loss_seg": 0.22605, "aux.acc_seg": 63.57183, "loss": 0.54069, "time": 0.39709} -{"mode": "train", "epoch": 63, "iter": 78650, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.3083, "decode.acc_seg": 70.88524, "aux.loss_seg": 0.22512, "aux.acc_seg": 64.43595, "loss": 0.53342, "time": 0.39947} -{"mode": "train", "epoch": 63, "iter": 78700, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.29891, "decode.acc_seg": 70.52219, "aux.loss_seg": 0.22309, "aux.acc_seg": 64.07111, "loss": 0.522, "time": 0.39342} -{"mode": "train", "epoch": 63, "iter": 78750, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.30669, "decode.acc_seg": 71.39585, "aux.loss_seg": 0.22449, "aux.acc_seg": 64.63217, "loss": 0.53118, "time": 0.39688} -{"mode": "train", "epoch": 63, "iter": 78800, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.3037, "decode.acc_seg": 72.42023, "aux.loss_seg": 0.22663, "aux.acc_seg": 65.56403, "loss": 0.53033, "time": 0.39674} -{"mode": "train", "epoch": 63, "iter": 78850, "lr": 3e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.29724, "decode.acc_seg": 70.25639, "aux.loss_seg": 0.21422, "aux.acc_seg": 63.83531, "loss": 0.51146, "time": 0.41244} -{"mode": "train", "epoch": 63, "iter": 78900, "lr": 3e-05, "memory": 17837, "data_time": 0.0056, "decode.loss_seg": 0.31961, "decode.acc_seg": 72.03005, "aux.loss_seg": 0.23617, "aux.acc_seg": 64.7522, "loss": 0.55578, "time": 0.39303} -{"mode": "train", "epoch": 63, "iter": 78950, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.31561, "decode.acc_seg": 71.02382, "aux.loss_seg": 0.22575, "aux.acc_seg": 64.26971, "loss": 0.54136, "time": 0.39251} -{"mode": "train", "epoch": 63, "iter": 79000, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.32448, "decode.acc_seg": 69.9169, "aux.loss_seg": 0.2285, "aux.acc_seg": 63.25883, "loss": 0.55298, "time": 0.40804} -{"mode": "train", "epoch": 63, "iter": 79050, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.30333, "decode.acc_seg": 70.68765, "aux.loss_seg": 0.22005, "aux.acc_seg": 64.41002, "loss": 0.52338, "time": 0.40446} -{"mode": "train", "epoch": 63, "iter": 79100, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.34015, "decode.acc_seg": 70.63727, "aux.loss_seg": 0.23822, "aux.acc_seg": 64.06514, "loss": 0.57837, "time": 0.39073} -{"mode": "train", "epoch": 63, "iter": 79150, "lr": 3e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.31781, "decode.acc_seg": 71.33676, "aux.loss_seg": 0.22426, "aux.acc_seg": 64.95015, "loss": 0.54207, "time": 0.39082} -{"mode": "train", "epoch": 63, "iter": 79200, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.29894, "decode.acc_seg": 69.92544, "aux.loss_seg": 0.2191, "aux.acc_seg": 63.50591, "loss": 0.51804, "time": 0.39649} -{"mode": "train", "epoch": 63, "iter": 79250, "lr": 3e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.31519, "decode.acc_seg": 70.76131, "aux.loss_seg": 0.23239, "aux.acc_seg": 63.85361, "loss": 0.54759, "time": 0.39188} -{"mode": "train", "epoch": 63, "iter": 79300, "lr": 3e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.31978, "decode.acc_seg": 70.50384, "aux.loss_seg": 0.23399, "aux.acc_seg": 63.58475, "loss": 0.55378, "time": 0.39454} -{"mode": "train", "epoch": 63, "iter": 79350, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.32486, "decode.acc_seg": 70.32004, "aux.loss_seg": 0.2286, "aux.acc_seg": 63.97481, "loss": 0.55346, "time": 0.39636} -{"mode": "train", "epoch": 63, "iter": 79400, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.31205, "decode.acc_seg": 69.99543, "aux.loss_seg": 0.22509, "aux.acc_seg": 63.54671, "loss": 0.53714, "time": 0.39993} -{"mode": "train", "epoch": 63, "iter": 79450, "lr": 3e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.31116, "decode.acc_seg": 70.8599, "aux.loss_seg": 0.226, "aux.acc_seg": 64.15135, "loss": 0.53717, "time": 0.40186} -{"mode": "train", "epoch": 63, "iter": 79500, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.32193, "decode.acc_seg": 70.56334, "aux.loss_seg": 0.23683, "aux.acc_seg": 63.70161, "loss": 0.55876, "time": 0.40464} -{"mode": "train", "epoch": 63, "iter": 79550, "lr": 3e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.31627, "decode.acc_seg": 70.89521, "aux.loss_seg": 0.22934, "aux.acc_seg": 64.23328, "loss": 0.54561, "time": 0.39277} -{"mode": "train", "epoch": 64, "iter": 79600, "lr": 3e-05, "memory": 17837, "data_time": 0.24246, "decode.loss_seg": 0.32809, "decode.acc_seg": 71.55041, "aux.loss_seg": 0.2236, "aux.acc_seg": 65.5191, "loss": 0.55169, "time": 0.63166} -{"mode": "train", "epoch": 64, "iter": 79650, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.32215, "decode.acc_seg": 71.42781, "aux.loss_seg": 0.23584, "aux.acc_seg": 64.2507, "loss": 0.55799, "time": 0.39993} -{"mode": "train", "epoch": 64, "iter": 79700, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29677, "decode.acc_seg": 71.17605, "aux.loss_seg": 0.22126, "aux.acc_seg": 64.55285, "loss": 0.51802, "time": 0.40242} -{"mode": "train", "epoch": 64, "iter": 79750, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29631, "decode.acc_seg": 72.18408, "aux.loss_seg": 0.22246, "aux.acc_seg": 65.14056, "loss": 0.51876, "time": 0.3959} -{"mode": "train", "epoch": 64, "iter": 79800, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.32028, "decode.acc_seg": 70.73787, "aux.loss_seg": 0.23117, "aux.acc_seg": 63.79651, "loss": 0.55146, "time": 0.41812} -{"mode": "train", "epoch": 64, "iter": 79850, "lr": 3e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.29926, "decode.acc_seg": 71.18116, "aux.loss_seg": 0.22127, "aux.acc_seg": 64.50261, "loss": 0.52053, "time": 0.39988} -{"mode": "train", "epoch": 64, "iter": 79900, "lr": 3e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.29206, "decode.acc_seg": 70.7597, "aux.loss_seg": 0.21869, "aux.acc_seg": 64.09035, "loss": 0.51074, "time": 0.40691} -{"mode": "train", "epoch": 64, "iter": 79950, "lr": 3e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.30497, "decode.acc_seg": 70.42303, "aux.loss_seg": 0.21675, "aux.acc_seg": 64.31011, "loss": 0.52172, "time": 0.39472} -{"mode": "val", "epoch": 64, "iter": 80000, "lr": 3e-05, "mIoU": 0.4409, "mAcc": 0.5612, "aAcc": 0.8102, "IoU.wall": 0.7456, "IoU.building": 0.8083, "IoU.sky": 0.9371, "IoU.floor": 0.7931, "IoU.tree": 0.7306, "IoU.ceiling": 0.8167, "IoU.road": 0.8062, "IoU.bed ": 0.8488, "IoU.windowpane": 0.5868, "IoU.grass": 0.6598, "IoU.cabinet": 0.562, "IoU.sidewalk": 0.621, "IoU.person": 0.7577, "IoU.earth": 0.3465, "IoU.door": 0.3826, "IoU.table": 0.5248, "IoU.mountain": 0.6199, "IoU.plant": 0.5078, "IoU.curtain": 0.672, "IoU.chair": 0.4936, "IoU.car": 0.8072, "IoU.water": 0.5434, "IoU.painting": 0.6931, "IoU.sofa": 0.5498, "IoU.shelf": 0.392, "IoU.house": 0.4758, "IoU.sea": 0.627, "IoU.mirror": 0.5454, "IoU.rug": 0.6367, "IoU.field": 0.3443, "IoU.armchair": 0.3479, "IoU.seat": 0.5898, "IoU.fence": 0.3938, "IoU.desk": 0.4287, "IoU.rock": 0.4534, "IoU.wardrobe": 0.4382, "IoU.lamp": 0.5395, "IoU.bathtub": 0.7034, "IoU.railing": 0.336, "IoU.cushion": 0.4937, "IoU.base": 0.2888, "IoU.box": 0.219, "IoU.column": 0.4057, "IoU.signboard": 0.321, "IoU.chest of drawers": 0.3847, "IoU.counter": 0.2797, "IoU.sand": 0.3832, "IoU.sink": 0.6336, "IoU.skyscraper": 0.5637, "IoU.fireplace": NaN, "IoU.refrigerator": 0.682, "IoU.grandstand": 0.4406, "IoU.path": 0.1511, "IoU.stairs": 0.2294, "IoU.runway": 0.6897, "IoU.case": 0.4807, "IoU.pool table": 0.8936, "IoU.pillow": 0.4414, "IoU.screen door": 0.4673, "IoU.stairway": 0.2688, "IoU.river": 0.1557, "IoU.bridge": 0.6028, "IoU.bookcase": 0.3892, "IoU.blind": NaN, "IoU.coffee table": 0.5138, "IoU.toilet": 0.7938, "IoU.flower": 0.4059, "IoU.book": 0.4411, "IoU.hill": 0.1065, "IoU.bench": 0.3849, "IoU.countertop": 0.4856, "IoU.stove": 0.6552, "IoU.palm": 0.4818, "IoU.kitchen island": 0.3351, "IoU.computer": 0.644, "IoU.swivel chair": 0.4087, "IoU.boat": 0.4061, "IoU.bar": 0.2323, "IoU.arcade machine": 0.6852, "IoU.hovel": 0.3587, "IoU.bus": 0.8002, "IoU.towel": 0.5931, "IoU.light": 0.4754, "IoU.truck": 0.1461, "IoU.tower": 0.2938, "IoU.chandelier": 0.6071, "IoU.awning": 0.2301, "IoU.streetlight": 0.1889, "IoU.booth": 0.5048, "IoU.television receiver": NaN, "IoU.airplane": 0.5036, "IoU.dirt track": 0.1679, "IoU.apparel": 0.2355, "IoU.pole": 0.1192, "IoU.land": 0.0401, "IoU.bannister": 0.0421, "IoU.escalator": 0.3027, "IoU.ottoman": 0.3713, "IoU.bottle": NaN, "IoU.buffet": 0.4691, "IoU.poster": 0.2369, "IoU.stage": 0.145, "IoU.van": 0.3977, "IoU.ship": 0.4061, "IoU.fountain": 0.2233, "IoU.conveyer belt": 0.6442, "IoU.canopy": 0.208, "IoU.washer": 0.6513, "IoU.plaything": 0.1479, "IoU.swimming pool": 0.7175, "IoU.stool": 0.3264, "IoU.barrel": 0.5138, "IoU.basket": 0.2286, "IoU.waterfall": 0.5422, "IoU.tent": 0.9183, "IoU.bag": 0.0749, "IoU.minibike": 0.6959, "IoU.cradle": NaN, "IoU.oven": 0.3097, "IoU.ball": 0.2703, "IoU.food": 0.4818, "IoU.step": 0.0511, "IoU.tank": 0.5393, "IoU.trade name": 0.1358, "IoU.microwave": 0.7631, "IoU.pot": 0.448, "IoU.animal": NaN, "IoU.bicycle": 0.4795, "IoU.lake": 0.0309, "IoU.dishwasher": 0.4529, "IoU.screen": 0.6691, "IoU.blanket": 0.0807, "IoU.sculpture": 0.4661, "IoU.hood": 0.519, "IoU.sconce": 0.3828, "IoU.vase": 0.3036, "IoU.traffic light": 0.2002, "IoU.tray": 0.0524, "IoU.ashcan": 0.2848, "IoU.fan": 0.5097, "IoU.pier": 0.311, "IoU.crt screen": 0.0811, "IoU.plate": 0.512, "IoU.monitor": 0.1292, "IoU.bulletin board": 0.2889, "IoU.shower": 0.0043, "IoU.radiator": 0.4791, "IoU.glass": 0.1111, "IoU.clock": 0.2988, "IoU.flag": 0.4103, "Acc.wall": 0.8745, "Acc.building": 0.9064, "Acc.sky": 0.971, "Acc.floor": 0.9, "Acc.tree": 0.8613, "Acc.ceiling": 0.9084, "Acc.road": 0.8847, "Acc.bed ": 0.9392, "Acc.windowpane": 0.7637, "Acc.grass": 0.8355, "Acc.cabinet": 0.6697, "Acc.sidewalk": 0.7849, "Acc.person": 0.8945, "Acc.earth": 0.4653, "Acc.door": 0.5006, "Acc.table": 0.7146, "Acc.mountain": 0.7592, "Acc.plant": 0.6281, "Acc.curtain": 0.8084, "Acc.chair": 0.6418, "Acc.car": 0.8998, "Acc.water": 0.7221, "Acc.painting": 0.8274, "Acc.sofa": 0.698, "Acc.shelf": 0.5577, "Acc.house": 0.69, "Acc.sea": 0.8298, "Acc.mirror": 0.6387, "Acc.rug": 0.7014, "Acc.field": 0.5684, "Acc.armchair": 0.5208, "Acc.seat": 0.758, "Acc.fence": 0.5456, "Acc.desk": 0.6308, "Acc.rock": 0.7061, "Acc.wardrobe": 0.6616, "Acc.lamp": 0.6625, "Acc.bathtub": 0.8198, "Acc.railing": 0.5354, "Acc.cushion": 0.731, "Acc.base": 0.3754, "Acc.box": 0.2985, "Acc.column": 0.515, "Acc.signboard": 0.4563, "Acc.chest of drawers": 0.5165, "Acc.counter": 0.3876, "Acc.sand": 0.5567, "Acc.sink": 0.7241, "Acc.skyscraper": 0.7385, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8405, "Acc.grandstand": 0.7694, "Acc.path": 0.1955, "Acc.stairs": 0.2674, "Acc.runway": 0.9201, "Acc.case": 0.6176, "Acc.pool table": 0.9584, "Acc.pillow": 0.529, "Acc.screen door": 0.5495, "Acc.stairway": 0.3377, "Acc.river": 0.2569, "Acc.bridge": 0.7314, "Acc.bookcase": 0.4677, "Acc.blind": NaN, "Acc.coffee table": 0.7862, "Acc.toilet": 0.8705, "Acc.flower": 0.556, "Acc.book": 0.6592, "Acc.hill": 0.179, "Acc.bench": 0.4742, "Acc.countertop": 0.615, "Acc.stove": 0.8315, "Acc.palm": 0.6719, "Acc.kitchen island": 0.6885, "Acc.computer": 0.7996, "Acc.swivel chair": 0.5799, "Acc.boat": 0.4742, "Acc.bar": 0.3051, "Acc.arcade machine": 0.7313, "Acc.hovel": 0.3756, "Acc.bus": 0.9156, "Acc.towel": 0.7517, "Acc.light": 0.5412, "Acc.truck": 0.2362, "Acc.tower": 0.4842, "Acc.chandelier": 0.8119, "Acc.awning": 0.2812, "Acc.streetlight": 0.2604, "Acc.booth": 0.6005, "Acc.television receiver": NaN, "Acc.airplane": 0.5719, "Acc.dirt track": 0.3256, "Acc.apparel": 0.4236, "Acc.pole": 0.153, "Acc.land": 0.0565, "Acc.bannister": 0.0545, "Acc.escalator": 0.3673, "Acc.ottoman": 0.5331, "Acc.bottle": NaN, "Acc.buffet": 0.5556, "Acc.poster": 0.4007, "Acc.stage": 0.2998, "Acc.van": 0.51, "Acc.ship": 0.6333, "Acc.fountain": 0.2354, "Acc.conveyer belt": 0.7798, "Acc.canopy": 0.2845, "Acc.washer": 0.6839, "Acc.plaything": 0.2586, "Acc.swimming pool": 0.7962, "Acc.stool": 0.4933, "Acc.barrel": 0.6367, "Acc.basket": 0.2762, "Acc.waterfall": 0.6839, "Acc.tent": 0.9889, "Acc.bag": 0.0891, "Acc.minibike": 0.8718, "Acc.cradle": NaN, "Acc.oven": 0.4163, "Acc.ball": 0.2756, "Acc.food": 0.5627, "Acc.step": 0.0609, "Acc.tank": 0.6212, "Acc.trade name": 0.1472, "Acc.microwave": 0.9023, "Acc.pot": 0.5119, "Acc.animal": NaN, "Acc.bicycle": 0.7702, "Acc.lake": 0.0324, "Acc.dishwasher": 0.5607, "Acc.screen": 0.8634, "Acc.blanket": 0.0917, "Acc.sculpture": 0.7577, "Acc.hood": 0.61, "Acc.sconce": 0.4462, "Acc.vase": 0.4318, "Acc.traffic light": 0.3361, "Acc.tray": 0.0811, "Acc.ashcan": 0.394, "Acc.fan": 0.6458, "Acc.pier": 0.5095, "Acc.crt screen": 0.1807, "Acc.plate": 0.6302, "Acc.monitor": 0.1645, "Acc.bulletin board": 0.3886, "Acc.shower": 0.0356, "Acc.radiator": 0.5267, "Acc.glass": 0.1285, "Acc.clock": 0.3746, "Acc.flag": 0.4881} -{"mode": "train", "epoch": 64, "iter": 80050, "lr": 3e-05, "memory": 17837, "data_time": 1.47018, "decode.loss_seg": 0.33367, "decode.acc_seg": 71.83198, "aux.loss_seg": 0.24337, "aux.acc_seg": 64.74783, "loss": 0.57705, "time": 1.85862} -{"mode": "train", "epoch": 64, "iter": 80100, "lr": 3e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.30231, "decode.acc_seg": 71.27202, "aux.loss_seg": 0.22366, "aux.acc_seg": 64.67616, "loss": 0.52596, "time": 0.39246} -{"mode": "train", "epoch": 64, "iter": 80150, "lr": 3e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.29694, "decode.acc_seg": 70.38772, "aux.loss_seg": 0.21951, "aux.acc_seg": 63.95648, "loss": 0.51645, "time": 0.40292} -{"mode": "train", "epoch": 64, "iter": 80200, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.31678, "decode.acc_seg": 72.44119, "aux.loss_seg": 0.23166, "aux.acc_seg": 65.68262, "loss": 0.54844, "time": 0.40408} -{"mode": "train", "epoch": 64, "iter": 80250, "lr": 3e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.31795, "decode.acc_seg": 69.12001, "aux.loss_seg": 0.22884, "aux.acc_seg": 62.59297, "loss": 0.54679, "time": 0.402} -{"mode": "train", "epoch": 64, "iter": 80300, "lr": 3e-05, "memory": 17837, "data_time": 0.00532, "decode.loss_seg": 0.33013, "decode.acc_seg": 69.38932, "aux.loss_seg": 0.23438, "aux.acc_seg": 62.77281, "loss": 0.5645, "time": 0.40877} -{"mode": "train", "epoch": 64, "iter": 80350, "lr": 3e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.306, "decode.acc_seg": 71.58749, "aux.loss_seg": 0.2229, "aux.acc_seg": 65.34564, "loss": 0.52891, "time": 0.41136} -{"mode": "train", "epoch": 64, "iter": 80400, "lr": 3e-05, "memory": 17837, "data_time": 0.00542, "decode.loss_seg": 0.3108, "decode.acc_seg": 69.63959, "aux.loss_seg": 0.22368, "aux.acc_seg": 63.43529, "loss": 0.53448, "time": 0.39444} -{"mode": "train", "epoch": 64, "iter": 80450, "lr": 3e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.30213, "decode.acc_seg": 71.72755, "aux.loss_seg": 0.22963, "aux.acc_seg": 64.59677, "loss": 0.53176, "time": 0.40523} -{"mode": "train", "epoch": 64, "iter": 80500, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.30846, "decode.acc_seg": 72.66034, "aux.loss_seg": 0.23472, "aux.acc_seg": 65.37382, "loss": 0.54318, "time": 0.41194} -{"mode": "train", "epoch": 64, "iter": 80550, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30109, "decode.acc_seg": 69.72276, "aux.loss_seg": 0.23175, "aux.acc_seg": 62.26204, "loss": 0.53285, "time": 0.40632} -{"mode": "train", "epoch": 64, "iter": 80600, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.30638, "decode.acc_seg": 72.00246, "aux.loss_seg": 0.23023, "aux.acc_seg": 65.03575, "loss": 0.5366, "time": 0.3938} -{"mode": "train", "epoch": 64, "iter": 80650, "lr": 3e-05, "memory": 17837, "data_time": 0.0053, "decode.loss_seg": 0.30438, "decode.acc_seg": 70.8327, "aux.loss_seg": 0.22483, "aux.acc_seg": 64.0659, "loss": 0.52921, "time": 0.40612} -{"mode": "train", "epoch": 64, "iter": 80700, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.31324, "decode.acc_seg": 70.07122, "aux.loss_seg": 0.22903, "aux.acc_seg": 63.34577, "loss": 0.54227, "time": 0.39556} -{"mode": "train", "epoch": 64, "iter": 80750, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.30568, "decode.acc_seg": 70.41653, "aux.loss_seg": 0.21977, "aux.acc_seg": 64.13256, "loss": 0.52546, "time": 0.39876} -{"mode": "train", "epoch": 64, "iter": 80800, "lr": 3e-05, "memory": 17837, "data_time": 0.00558, "decode.loss_seg": 0.2986, "decode.acc_seg": 70.44455, "aux.loss_seg": 0.21898, "aux.acc_seg": 64.00379, "loss": 0.51758, "time": 0.40093} -{"mode": "train", "epoch": 65, "iter": 80850, "lr": 3e-05, "memory": 17837, "data_time": 0.24293, "decode.loss_seg": 0.29951, "decode.acc_seg": 71.59062, "aux.loss_seg": 0.22342, "aux.acc_seg": 64.82275, "loss": 0.52294, "time": 0.64003} -{"mode": "train", "epoch": 65, "iter": 80900, "lr": 3e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.29226, "decode.acc_seg": 70.08904, "aux.loss_seg": 0.22235, "aux.acc_seg": 63.17319, "loss": 0.51461, "time": 0.4133} -{"mode": "train", "epoch": 65, "iter": 80950, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.30375, "decode.acc_seg": 70.97047, "aux.loss_seg": 0.21524, "aux.acc_seg": 64.97531, "loss": 0.51899, "time": 0.39303} -{"mode": "train", "epoch": 65, "iter": 81000, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.31017, "decode.acc_seg": 70.71895, "aux.loss_seg": 0.2304, "aux.acc_seg": 63.62979, "loss": 0.54057, "time": 0.39739} -{"mode": "train", "epoch": 65, "iter": 81050, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30475, "decode.acc_seg": 71.32233, "aux.loss_seg": 0.21675, "aux.acc_seg": 65.33963, "loss": 0.5215, "time": 0.40106} -{"mode": "train", "epoch": 65, "iter": 81100, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.30366, "decode.acc_seg": 70.98666, "aux.loss_seg": 0.22551, "aux.acc_seg": 64.23661, "loss": 0.52917, "time": 0.40123} -{"mode": "train", "epoch": 65, "iter": 81150, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.29964, "decode.acc_seg": 71.81146, "aux.loss_seg": 0.22548, "aux.acc_seg": 65.2262, "loss": 0.52512, "time": 0.40996} -{"mode": "train", "epoch": 65, "iter": 81200, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.31467, "decode.acc_seg": 71.19333, "aux.loss_seg": 0.22636, "aux.acc_seg": 64.68163, "loss": 0.54103, "time": 0.39532} -{"mode": "train", "epoch": 65, "iter": 81250, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.31431, "decode.acc_seg": 70.36226, "aux.loss_seg": 0.2209, "aux.acc_seg": 64.36208, "loss": 0.53521, "time": 0.4139} -{"mode": "train", "epoch": 65, "iter": 81300, "lr": 3e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.30566, "decode.acc_seg": 71.52906, "aux.loss_seg": 0.22347, "aux.acc_seg": 64.91842, "loss": 0.52912, "time": 0.41267} -{"mode": "train", "epoch": 65, "iter": 81350, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.30737, "decode.acc_seg": 70.94626, "aux.loss_seg": 0.23214, "aux.acc_seg": 63.60055, "loss": 0.53951, "time": 0.39793} -{"mode": "train", "epoch": 65, "iter": 81400, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.29516, "decode.acc_seg": 71.17698, "aux.loss_seg": 0.21169, "aux.acc_seg": 65.29516, "loss": 0.50684, "time": 0.39622} -{"mode": "train", "epoch": 65, "iter": 81450, "lr": 3e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.3033, "decode.acc_seg": 71.06852, "aux.loss_seg": 0.22547, "aux.acc_seg": 64.40577, "loss": 0.52877, "time": 0.41594} -{"mode": "train", "epoch": 65, "iter": 81500, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.32476, "decode.acc_seg": 70.25287, "aux.loss_seg": 0.23918, "aux.acc_seg": 63.24113, "loss": 0.56394, "time": 0.42095} -{"mode": "train", "epoch": 65, "iter": 81550, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.31304, "decode.acc_seg": 69.97591, "aux.loss_seg": 0.21913, "aux.acc_seg": 63.96112, "loss": 0.53217, "time": 0.41132} -{"mode": "train", "epoch": 65, "iter": 81600, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.28616, "decode.acc_seg": 71.96711, "aux.loss_seg": 0.20922, "aux.acc_seg": 65.79315, "loss": 0.49538, "time": 0.40092} -{"mode": "train", "epoch": 65, "iter": 81650, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.30223, "decode.acc_seg": 69.74854, "aux.loss_seg": 0.22115, "aux.acc_seg": 63.16635, "loss": 0.52338, "time": 0.39953} -{"mode": "train", "epoch": 65, "iter": 81700, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.30958, "decode.acc_seg": 69.83711, "aux.loss_seg": 0.23146, "aux.acc_seg": 63.04319, "loss": 0.54104, "time": 0.39748} -{"mode": "train", "epoch": 65, "iter": 81750, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.3054, "decode.acc_seg": 70.65648, "aux.loss_seg": 0.22066, "aux.acc_seg": 64.08624, "loss": 0.52606, "time": 0.39946} -{"mode": "train", "epoch": 65, "iter": 81800, "lr": 3e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.3246, "decode.acc_seg": 70.61825, "aux.loss_seg": 0.22824, "aux.acc_seg": 63.95077, "loss": 0.55284, "time": 0.3954} -{"mode": "train", "epoch": 65, "iter": 81850, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.33875, "decode.acc_seg": 70.30139, "aux.loss_seg": 0.24681, "aux.acc_seg": 63.18219, "loss": 0.58556, "time": 0.39363} -{"mode": "train", "epoch": 65, "iter": 81900, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.31098, "decode.acc_seg": 70.61189, "aux.loss_seg": 0.23414, "aux.acc_seg": 63.47969, "loss": 0.54512, "time": 0.3951} -{"mode": "train", "epoch": 65, "iter": 81950, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29709, "decode.acc_seg": 70.29184, "aux.loss_seg": 0.22643, "aux.acc_seg": 63.01433, "loss": 0.52352, "time": 0.40735} -{"mode": "train", "epoch": 65, "iter": 82000, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.30834, "decode.acc_seg": 70.91414, "aux.loss_seg": 0.22724, "aux.acc_seg": 63.94341, "loss": 0.53559, "time": 0.39458} -{"mode": "train", "epoch": 65, "iter": 82050, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.31156, "decode.acc_seg": 70.18724, "aux.loss_seg": 0.23265, "aux.acc_seg": 63.09481, "loss": 0.54421, "time": 0.39641} -{"mode": "train", "epoch": 66, "iter": 82100, "lr": 3e-05, "memory": 17837, "data_time": 0.2409, "decode.loss_seg": 0.31208, "decode.acc_seg": 70.71317, "aux.loss_seg": 0.22693, "aux.acc_seg": 64.15477, "loss": 0.53901, "time": 0.63723} -{"mode": "train", "epoch": 66, "iter": 82150, "lr": 3e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.3194, "decode.acc_seg": 71.66533, "aux.loss_seg": 0.23095, "aux.acc_seg": 64.73305, "loss": 0.55034, "time": 0.39861} -{"mode": "train", "epoch": 66, "iter": 82200, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.29467, "decode.acc_seg": 71.75172, "aux.loss_seg": 0.22182, "aux.acc_seg": 64.79158, "loss": 0.51649, "time": 0.40545} -{"mode": "train", "epoch": 66, "iter": 82250, "lr": 3e-05, "memory": 17837, "data_time": 0.00749, "decode.loss_seg": 0.31382, "decode.acc_seg": 72.02627, "aux.loss_seg": 0.23335, "aux.acc_seg": 64.93603, "loss": 0.54717, "time": 0.40881} -{"mode": "train", "epoch": 66, "iter": 82300, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.31659, "decode.acc_seg": 70.12672, "aux.loss_seg": 0.22469, "aux.acc_seg": 63.79508, "loss": 0.54128, "time": 0.40306} -{"mode": "train", "epoch": 66, "iter": 82350, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.31453, "decode.acc_seg": 70.60139, "aux.loss_seg": 0.23504, "aux.acc_seg": 63.67877, "loss": 0.54957, "time": 0.40232} -{"mode": "train", "epoch": 66, "iter": 82400, "lr": 3e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.30627, "decode.acc_seg": 69.96914, "aux.loss_seg": 0.21848, "aux.acc_seg": 63.56401, "loss": 0.52475, "time": 0.4172} -{"mode": "train", "epoch": 66, "iter": 82450, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.31122, "decode.acc_seg": 70.5168, "aux.loss_seg": 0.22872, "aux.acc_seg": 63.78838, "loss": 0.53994, "time": 0.39891} -{"mode": "train", "epoch": 66, "iter": 82500, "lr": 3e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.29981, "decode.acc_seg": 72.14653, "aux.loss_seg": 0.21964, "aux.acc_seg": 65.87559, "loss": 0.51945, "time": 0.40954} -{"mode": "train", "epoch": 66, "iter": 82550, "lr": 3e-05, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.30516, "decode.acc_seg": 70.45999, "aux.loss_seg": 0.22682, "aux.acc_seg": 63.52781, "loss": 0.53198, "time": 0.39995} -{"mode": "train", "epoch": 66, "iter": 82600, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.3191, "decode.acc_seg": 72.40029, "aux.loss_seg": 0.22688, "aux.acc_seg": 65.95344, "loss": 0.54598, "time": 0.39689} -{"mode": "train", "epoch": 66, "iter": 82650, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.30254, "decode.acc_seg": 72.14746, "aux.loss_seg": 0.22314, "aux.acc_seg": 64.98897, "loss": 0.52568, "time": 0.41204} -{"mode": "train", "epoch": 66, "iter": 82700, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.28742, "decode.acc_seg": 71.91554, "aux.loss_seg": 0.2097, "aux.acc_seg": 65.84665, "loss": 0.49712, "time": 0.39932} -{"mode": "train", "epoch": 66, "iter": 82750, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.30018, "decode.acc_seg": 70.22488, "aux.loss_seg": 0.22406, "aux.acc_seg": 63.35703, "loss": 0.52424, "time": 0.39986} -{"mode": "train", "epoch": 66, "iter": 82800, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.30114, "decode.acc_seg": 70.41202, "aux.loss_seg": 0.22146, "aux.acc_seg": 63.67452, "loss": 0.52259, "time": 0.40427} -{"mode": "train", "epoch": 66, "iter": 82850, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.30344, "decode.acc_seg": 70.87311, "aux.loss_seg": 0.22488, "aux.acc_seg": 63.90673, "loss": 0.52832, "time": 0.40853} -{"mode": "train", "epoch": 66, "iter": 82900, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.30092, "decode.acc_seg": 70.66589, "aux.loss_seg": 0.21973, "aux.acc_seg": 64.11082, "loss": 0.52065, "time": 0.39541} -{"mode": "train", "epoch": 66, "iter": 82950, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.3019, "decode.acc_seg": 71.48859, "aux.loss_seg": 0.2315, "aux.acc_seg": 64.13603, "loss": 0.5334, "time": 0.40465} -{"mode": "train", "epoch": 66, "iter": 83000, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.30455, "decode.acc_seg": 71.85106, "aux.loss_seg": 0.22549, "aux.acc_seg": 65.02402, "loss": 0.53004, "time": 0.3922} -{"mode": "train", "epoch": 66, "iter": 83050, "lr": 3e-05, "memory": 17837, "data_time": 0.00705, "decode.loss_seg": 0.30777, "decode.acc_seg": 71.77187, "aux.loss_seg": 0.22409, "aux.acc_seg": 65.51162, "loss": 0.53186, "time": 0.39842} -{"mode": "train", "epoch": 66, "iter": 83100, "lr": 3e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.30159, "decode.acc_seg": 71.0249, "aux.loss_seg": 0.22441, "aux.acc_seg": 64.46036, "loss": 0.526, "time": 0.40487} -{"mode": "train", "epoch": 66, "iter": 83150, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.30866, "decode.acc_seg": 70.40437, "aux.loss_seg": 0.23175, "aux.acc_seg": 63.31353, "loss": 0.54041, "time": 0.39625} -{"mode": "train", "epoch": 66, "iter": 83200, "lr": 3e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.30768, "decode.acc_seg": 71.25542, "aux.loss_seg": 0.22747, "aux.acc_seg": 64.54035, "loss": 0.53515, "time": 0.40923} -{"mode": "train", "epoch": 66, "iter": 83250, "lr": 3e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.29127, "decode.acc_seg": 71.54727, "aux.loss_seg": 0.21618, "aux.acc_seg": 64.84979, "loss": 0.50744, "time": 0.39798} -{"mode": "train", "epoch": 66, "iter": 83300, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.31306, "decode.acc_seg": 70.06786, "aux.loss_seg": 0.22328, "aux.acc_seg": 63.73699, "loss": 0.53634, "time": 0.39893} -{"mode": "train", "epoch": 66, "iter": 83350, "lr": 3e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.31949, "decode.acc_seg": 70.35434, "aux.loss_seg": 0.22854, "aux.acc_seg": 63.46656, "loss": 0.54802, "time": 0.41148} -{"mode": "train", "epoch": 67, "iter": 83400, "lr": 3e-05, "memory": 17837, "data_time": 0.24483, "decode.loss_seg": 0.29517, "decode.acc_seg": 71.00219, "aux.loss_seg": 0.21751, "aux.acc_seg": 64.16109, "loss": 0.51268, "time": 0.65065} -{"mode": "train", "epoch": 67, "iter": 83450, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.29296, "decode.acc_seg": 70.63121, "aux.loss_seg": 0.21633, "aux.acc_seg": 64.39888, "loss": 0.50929, "time": 0.40933} -{"mode": "train", "epoch": 67, "iter": 83500, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.30635, "decode.acc_seg": 71.30424, "aux.loss_seg": 0.23196, "aux.acc_seg": 64.16919, "loss": 0.53831, "time": 0.4071} -{"mode": "train", "epoch": 67, "iter": 83550, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.29838, "decode.acc_seg": 71.88924, "aux.loss_seg": 0.21465, "aux.acc_seg": 65.63749, "loss": 0.51303, "time": 0.40044} -{"mode": "train", "epoch": 67, "iter": 83600, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.31295, "decode.acc_seg": 69.85412, "aux.loss_seg": 0.22736, "aux.acc_seg": 63.04024, "loss": 0.54031, "time": 0.40344} -{"mode": "train", "epoch": 67, "iter": 83650, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.29588, "decode.acc_seg": 70.55836, "aux.loss_seg": 0.21615, "aux.acc_seg": 64.22901, "loss": 0.51204, "time": 0.39547} -{"mode": "train", "epoch": 67, "iter": 83700, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.30935, "decode.acc_seg": 71.16164, "aux.loss_seg": 0.22697, "aux.acc_seg": 64.3327, "loss": 0.53633, "time": 0.41713} -{"mode": "train", "epoch": 67, "iter": 83750, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.30729, "decode.acc_seg": 69.79174, "aux.loss_seg": 0.22375, "aux.acc_seg": 62.99671, "loss": 0.53104, "time": 0.40793} -{"mode": "train", "epoch": 67, "iter": 83800, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.30405, "decode.acc_seg": 71.18626, "aux.loss_seg": 0.22159, "aux.acc_seg": 64.67496, "loss": 0.52564, "time": 0.41207} -{"mode": "train", "epoch": 67, "iter": 83850, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.30735, "decode.acc_seg": 71.26142, "aux.loss_seg": 0.22939, "aux.acc_seg": 64.13301, "loss": 0.53675, "time": 0.39679} -{"mode": "train", "epoch": 67, "iter": 83900, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.29491, "decode.acc_seg": 70.89306, "aux.loss_seg": 0.21621, "aux.acc_seg": 64.22133, "loss": 0.51113, "time": 0.39565} -{"mode": "train", "epoch": 67, "iter": 83950, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.30901, "decode.acc_seg": 70.56336, "aux.loss_seg": 0.2249, "aux.acc_seg": 63.98612, "loss": 0.53391, "time": 0.40331} -{"mode": "train", "epoch": 67, "iter": 84000, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.30707, "decode.acc_seg": 70.23282, "aux.loss_seg": 0.23038, "aux.acc_seg": 63.18317, "loss": 0.53745, "time": 0.41152} -{"mode": "train", "epoch": 67, "iter": 84050, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.29659, "decode.acc_seg": 71.80318, "aux.loss_seg": 0.21762, "aux.acc_seg": 65.14967, "loss": 0.51421, "time": 0.39705} -{"mode": "train", "epoch": 67, "iter": 84100, "lr": 3e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.29967, "decode.acc_seg": 70.48252, "aux.loss_seg": 0.21593, "aux.acc_seg": 64.08729, "loss": 0.5156, "time": 0.3995} -{"mode": "train", "epoch": 67, "iter": 84150, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.2981, "decode.acc_seg": 69.49227, "aux.loss_seg": 0.22532, "aux.acc_seg": 62.09008, "loss": 0.52342, "time": 0.39925} -{"mode": "train", "epoch": 67, "iter": 84200, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.28687, "decode.acc_seg": 70.16932, "aux.loss_seg": 0.2108, "aux.acc_seg": 64.006, "loss": 0.49767, "time": 0.39438} -{"mode": "train", "epoch": 67, "iter": 84250, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.30356, "decode.acc_seg": 70.6242, "aux.loss_seg": 0.22445, "aux.acc_seg": 63.69937, "loss": 0.52801, "time": 0.41803} -{"mode": "train", "epoch": 67, "iter": 84300, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.28866, "decode.acc_seg": 70.60832, "aux.loss_seg": 0.21126, "aux.acc_seg": 64.21903, "loss": 0.49992, "time": 0.39826} -{"mode": "train", "epoch": 67, "iter": 84350, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.29905, "decode.acc_seg": 70.0989, "aux.loss_seg": 0.22597, "aux.acc_seg": 63.08122, "loss": 0.52502, "time": 0.40037} -{"mode": "train", "epoch": 67, "iter": 84400, "lr": 3e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.32233, "decode.acc_seg": 71.91554, "aux.loss_seg": 0.22525, "aux.acc_seg": 65.19364, "loss": 0.54758, "time": 0.40181} -{"mode": "train", "epoch": 67, "iter": 84450, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.31114, "decode.acc_seg": 70.97564, "aux.loss_seg": 0.22748, "aux.acc_seg": 64.06468, "loss": 0.53863, "time": 0.40706} -{"mode": "train", "epoch": 67, "iter": 84500, "lr": 3e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.31277, "decode.acc_seg": 70.0862, "aux.loss_seg": 0.22859, "aux.acc_seg": 63.28821, "loss": 0.54136, "time": 0.40155} -{"mode": "train", "epoch": 67, "iter": 84550, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.29619, "decode.acc_seg": 71.30782, "aux.loss_seg": 0.21741, "aux.acc_seg": 64.80822, "loss": 0.5136, "time": 0.41165} -{"mode": "train", "epoch": 67, "iter": 84600, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.30757, "decode.acc_seg": 71.01079, "aux.loss_seg": 0.22618, "aux.acc_seg": 64.6451, "loss": 0.53375, "time": 0.40611} -{"mode": "train", "epoch": 68, "iter": 84650, "lr": 3e-05, "memory": 17837, "data_time": 0.2475, "decode.loss_seg": 0.28621, "decode.acc_seg": 72.48277, "aux.loss_seg": 0.21214, "aux.acc_seg": 66.14453, "loss": 0.49834, "time": 0.63928} -{"mode": "train", "epoch": 68, "iter": 84700, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.2922, "decode.acc_seg": 71.79684, "aux.loss_seg": 0.22026, "aux.acc_seg": 65.14092, "loss": 0.51246, "time": 0.4011} -{"mode": "train", "epoch": 68, "iter": 84750, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.29172, "decode.acc_seg": 71.39027, "aux.loss_seg": 0.21566, "aux.acc_seg": 64.79363, "loss": 0.50738, "time": 0.39597} -{"mode": "train", "epoch": 68, "iter": 84800, "lr": 3e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.29455, "decode.acc_seg": 71.56879, "aux.loss_seg": 0.21348, "aux.acc_seg": 65.34999, "loss": 0.50804, "time": 0.39856} -{"mode": "train", "epoch": 68, "iter": 84850, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.31195, "decode.acc_seg": 70.5724, "aux.loss_seg": 0.22197, "aux.acc_seg": 64.26915, "loss": 0.53392, "time": 0.40198} -{"mode": "train", "epoch": 68, "iter": 84900, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.30347, "decode.acc_seg": 71.15205, "aux.loss_seg": 0.21647, "aux.acc_seg": 64.93169, "loss": 0.51995, "time": 0.39788} -{"mode": "train", "epoch": 68, "iter": 84950, "lr": 3e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.29937, "decode.acc_seg": 72.05284, "aux.loss_seg": 0.21943, "aux.acc_seg": 65.7289, "loss": 0.5188, "time": 0.39651} -{"mode": "train", "epoch": 68, "iter": 85000, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.31345, "decode.acc_seg": 70.84356, "aux.loss_seg": 0.22961, "aux.acc_seg": 63.92751, "loss": 0.54306, "time": 0.39933} -{"mode": "train", "epoch": 68, "iter": 85050, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.29397, "decode.acc_seg": 72.30608, "aux.loss_seg": 0.22141, "aux.acc_seg": 65.62444, "loss": 0.51538, "time": 0.41379} -{"mode": "train", "epoch": 68, "iter": 85100, "lr": 3e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28574, "decode.acc_seg": 70.684, "aux.loss_seg": 0.21064, "aux.acc_seg": 64.52908, "loss": 0.49638, "time": 0.40685} -{"mode": "train", "epoch": 68, "iter": 85150, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.28136, "decode.acc_seg": 71.06202, "aux.loss_seg": 0.20903, "aux.acc_seg": 64.40946, "loss": 0.49039, "time": 0.40271} -{"mode": "train", "epoch": 68, "iter": 85200, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.32339, "decode.acc_seg": 71.37822, "aux.loss_seg": 0.22957, "aux.acc_seg": 64.92338, "loss": 0.55296, "time": 0.39313} -{"mode": "train", "epoch": 68, "iter": 85250, "lr": 3e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.30746, "decode.acc_seg": 71.64906, "aux.loss_seg": 0.22049, "aux.acc_seg": 65.1983, "loss": 0.52795, "time": 0.3926} -{"mode": "train", "epoch": 68, "iter": 85300, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.30467, "decode.acc_seg": 70.13161, "aux.loss_seg": 0.22042, "aux.acc_seg": 63.81036, "loss": 0.52509, "time": 0.40066} -{"mode": "train", "epoch": 68, "iter": 85350, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.30956, "decode.acc_seg": 70.69689, "aux.loss_seg": 0.22008, "aux.acc_seg": 64.66202, "loss": 0.52964, "time": 0.4067} -{"mode": "train", "epoch": 68, "iter": 85400, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29637, "decode.acc_seg": 69.79605, "aux.loss_seg": 0.22727, "aux.acc_seg": 62.62895, "loss": 0.52364, "time": 0.39469} -{"mode": "train", "epoch": 68, "iter": 85450, "lr": 3e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.30131, "decode.acc_seg": 70.30426, "aux.loss_seg": 0.21897, "aux.acc_seg": 63.78437, "loss": 0.52028, "time": 0.39601} -{"mode": "train", "epoch": 68, "iter": 85500, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.28931, "decode.acc_seg": 71.59533, "aux.loss_seg": 0.20909, "aux.acc_seg": 65.55434, "loss": 0.49841, "time": 0.39627} -{"mode": "train", "epoch": 68, "iter": 85550, "lr": 3e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.3244, "decode.acc_seg": 70.29374, "aux.loss_seg": 0.2355, "aux.acc_seg": 63.29883, "loss": 0.5599, "time": 0.40314} -{"mode": "train", "epoch": 68, "iter": 85600, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29514, "decode.acc_seg": 70.98264, "aux.loss_seg": 0.2227, "aux.acc_seg": 63.78044, "loss": 0.51783, "time": 0.40125} -{"mode": "train", "epoch": 68, "iter": 85650, "lr": 3e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.31351, "decode.acc_seg": 69.62905, "aux.loss_seg": 0.23476, "aux.acc_seg": 62.79822, "loss": 0.54827, "time": 0.39703} -{"mode": "train", "epoch": 68, "iter": 85700, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28634, "decode.acc_seg": 71.79059, "aux.loss_seg": 0.21383, "aux.acc_seg": 65.46847, "loss": 0.50017, "time": 0.39575} -{"mode": "train", "epoch": 68, "iter": 85750, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.32317, "decode.acc_seg": 70.96197, "aux.loss_seg": 0.23689, "aux.acc_seg": 64.17482, "loss": 0.56006, "time": 0.40141} -{"mode": "train", "epoch": 68, "iter": 85800, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.29309, "decode.acc_seg": 70.19456, "aux.loss_seg": 0.2164, "aux.acc_seg": 63.5197, "loss": 0.50949, "time": 0.39657} -{"mode": "train", "epoch": 68, "iter": 85850, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.31903, "decode.acc_seg": 70.77357, "aux.loss_seg": 0.22786, "aux.acc_seg": 64.31881, "loss": 0.54689, "time": 0.39888} -{"mode": "train", "epoch": 69, "iter": 85900, "lr": 3e-05, "memory": 17837, "data_time": 0.23798, "decode.loss_seg": 0.29918, "decode.acc_seg": 71.01628, "aux.loss_seg": 0.22575, "aux.acc_seg": 63.99187, "loss": 0.52493, "time": 0.62429} -{"mode": "train", "epoch": 69, "iter": 85950, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.27391, "decode.acc_seg": 72.29338, "aux.loss_seg": 0.19831, "aux.acc_seg": 66.39491, "loss": 0.47221, "time": 0.39339} -{"mode": "train", "epoch": 69, "iter": 86000, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.28529, "decode.acc_seg": 71.47815, "aux.loss_seg": 0.21801, "aux.acc_seg": 64.64665, "loss": 0.50331, "time": 0.39248} -{"mode": "train", "epoch": 69, "iter": 86050, "lr": 3e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.29319, "decode.acc_seg": 70.84515, "aux.loss_seg": 0.22158, "aux.acc_seg": 63.72218, "loss": 0.51477, "time": 0.39301} -{"mode": "train", "epoch": 69, "iter": 86100, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.29521, "decode.acc_seg": 72.20396, "aux.loss_seg": 0.21519, "aux.acc_seg": 65.97906, "loss": 0.5104, "time": 0.39728} -{"mode": "train", "epoch": 69, "iter": 86150, "lr": 3e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.29445, "decode.acc_seg": 72.37046, "aux.loss_seg": 0.21489, "aux.acc_seg": 66.18336, "loss": 0.50934, "time": 0.40144} -{"mode": "train", "epoch": 69, "iter": 86200, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.27392, "decode.acc_seg": 71.01329, "aux.loss_seg": 0.20212, "aux.acc_seg": 64.58192, "loss": 0.47603, "time": 0.40451} -{"mode": "train", "epoch": 69, "iter": 86250, "lr": 3e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.30735, "decode.acc_seg": 69.47997, "aux.loss_seg": 0.22297, "aux.acc_seg": 63.07357, "loss": 0.53033, "time": 0.4095} -{"mode": "train", "epoch": 69, "iter": 86300, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.30527, "decode.acc_seg": 71.51076, "aux.loss_seg": 0.22377, "aux.acc_seg": 64.9061, "loss": 0.52904, "time": 0.40014} -{"mode": "train", "epoch": 69, "iter": 86350, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.31207, "decode.acc_seg": 71.67651, "aux.loss_seg": 0.2296, "aux.acc_seg": 64.95325, "loss": 0.54167, "time": 0.41132} -{"mode": "train", "epoch": 69, "iter": 86400, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.30743, "decode.acc_seg": 71.2759, "aux.loss_seg": 0.22651, "aux.acc_seg": 64.60779, "loss": 0.53394, "time": 0.41313} -{"mode": "train", "epoch": 69, "iter": 86450, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.29844, "decode.acc_seg": 71.08368, "aux.loss_seg": 0.22432, "aux.acc_seg": 63.69499, "loss": 0.52275, "time": 0.41575} -{"mode": "train", "epoch": 69, "iter": 86500, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.29743, "decode.acc_seg": 71.49974, "aux.loss_seg": 0.2243, "aux.acc_seg": 64.63765, "loss": 0.52172, "time": 0.41392} -{"mode": "train", "epoch": 69, "iter": 86550, "lr": 3e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.30176, "decode.acc_seg": 71.02573, "aux.loss_seg": 0.21933, "aux.acc_seg": 64.82706, "loss": 0.52109, "time": 0.40729} -{"mode": "train", "epoch": 69, "iter": 86600, "lr": 3e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.3135, "decode.acc_seg": 70.6197, "aux.loss_seg": 0.23254, "aux.acc_seg": 63.58092, "loss": 0.54603, "time": 0.39545} -{"mode": "train", "epoch": 69, "iter": 86650, "lr": 3e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.31005, "decode.acc_seg": 71.22333, "aux.loss_seg": 0.22587, "aux.acc_seg": 64.75443, "loss": 0.53592, "time": 0.4023} -{"mode": "train", "epoch": 69, "iter": 86700, "lr": 3e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.30067, "decode.acc_seg": 70.64472, "aux.loss_seg": 0.22522, "aux.acc_seg": 63.68833, "loss": 0.52589, "time": 0.4093} -{"mode": "train", "epoch": 69, "iter": 86750, "lr": 3e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.28846, "decode.acc_seg": 71.79455, "aux.loss_seg": 0.21888, "aux.acc_seg": 64.91919, "loss": 0.50734, "time": 0.39984} -{"mode": "train", "epoch": 69, "iter": 86800, "lr": 3e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.28255, "decode.acc_seg": 69.37436, "aux.loss_seg": 0.21835, "aux.acc_seg": 62.539, "loss": 0.5009, "time": 0.40317} -{"mode": "train", "epoch": 69, "iter": 86850, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.29778, "decode.acc_seg": 71.16626, "aux.loss_seg": 0.22052, "aux.acc_seg": 64.62779, "loss": 0.5183, "time": 0.40511} -{"mode": "train", "epoch": 69, "iter": 86900, "lr": 3e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.29482, "decode.acc_seg": 69.40781, "aux.loss_seg": 0.21252, "aux.acc_seg": 63.27647, "loss": 0.50734, "time": 0.42151} -{"mode": "train", "epoch": 69, "iter": 86950, "lr": 3e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.30497, "decode.acc_seg": 71.06963, "aux.loss_seg": 0.22037, "aux.acc_seg": 64.48475, "loss": 0.52534, "time": 0.40095} -{"mode": "train", "epoch": 69, "iter": 87000, "lr": 3e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.30626, "decode.acc_seg": 71.04664, "aux.loss_seg": 0.22341, "aux.acc_seg": 64.44561, "loss": 0.52967, "time": 0.39717} -{"mode": "train", "epoch": 69, "iter": 87050, "lr": 3e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.30546, "decode.acc_seg": 70.73565, "aux.loss_seg": 0.22216, "aux.acc_seg": 64.16482, "loss": 0.52762, "time": 0.40961} -{"mode": "train", "epoch": 69, "iter": 87100, "lr": 3e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.28836, "decode.acc_seg": 70.50267, "aux.loss_seg": 0.20986, "aux.acc_seg": 64.06452, "loss": 0.49822, "time": 0.40594} -{"mode": "train", "epoch": 70, "iter": 87150, "lr": 3e-05, "memory": 17837, "data_time": 0.24264, "decode.loss_seg": 0.30597, "decode.acc_seg": 71.21706, "aux.loss_seg": 0.23495, "aux.acc_seg": 63.66419, "loss": 0.54092, "time": 0.64593} -{"mode": "train", "epoch": 70, "iter": 87200, "lr": 3e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.29337, "decode.acc_seg": 71.34172, "aux.loss_seg": 0.22436, "aux.acc_seg": 64.05753, "loss": 0.51773, "time": 0.40537} -{"mode": "train", "epoch": 70, "iter": 87250, "lr": 3e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.29015, "decode.acc_seg": 71.21937, "aux.loss_seg": 0.21836, "aux.acc_seg": 64.62376, "loss": 0.5085, "time": 0.39613} -{"mode": "train", "epoch": 70, "iter": 87300, "lr": 3e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.29314, "decode.acc_seg": 71.70486, "aux.loss_seg": 0.21867, "aux.acc_seg": 65.01878, "loss": 0.51181, "time": 0.39808} -{"mode": "train", "epoch": 70, "iter": 87350, "lr": 3e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.29408, "decode.acc_seg": 70.50461, "aux.loss_seg": 0.22099, "aux.acc_seg": 63.55915, "loss": 0.51507, "time": 0.40407} -{"mode": "train", "epoch": 70, "iter": 87400, "lr": 3e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.31352, "decode.acc_seg": 69.8753, "aux.loss_seg": 0.22505, "aux.acc_seg": 63.19073, "loss": 0.53857, "time": 0.4082} -{"mode": "train", "epoch": 70, "iter": 87450, "lr": 3e-05, "memory": 17837, "data_time": 0.00735, "decode.loss_seg": 0.30929, "decode.acc_seg": 70.70235, "aux.loss_seg": 0.23489, "aux.acc_seg": 63.38232, "loss": 0.54417, "time": 0.40042} -{"mode": "train", "epoch": 70, "iter": 87500, "lr": 3e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.28256, "decode.acc_seg": 71.99682, "aux.loss_seg": 0.20672, "aux.acc_seg": 65.87197, "loss": 0.48928, "time": 0.39676} -{"mode": "train", "epoch": 70, "iter": 87550, "lr": 3e-05, "memory": 17837, "data_time": 0.00702, "decode.loss_seg": 0.30129, "decode.acc_seg": 71.50344, "aux.loss_seg": 0.22236, "aux.acc_seg": 64.93574, "loss": 0.52366, "time": 0.40685} -{"mode": "train", "epoch": 70, "iter": 87600, "lr": 3e-05, "memory": 17837, "data_time": 0.00783, "decode.loss_seg": 0.28949, "decode.acc_seg": 70.60906, "aux.loss_seg": 0.21558, "aux.acc_seg": 64.04378, "loss": 0.50507, "time": 0.39757} -{"mode": "train", "epoch": 70, "iter": 87650, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.30136, "decode.acc_seg": 70.76854, "aux.loss_seg": 0.21887, "aux.acc_seg": 64.42474, "loss": 0.52023, "time": 0.399} -{"mode": "train", "epoch": 70, "iter": 87700, "lr": 3e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.28677, "decode.acc_seg": 71.83915, "aux.loss_seg": 0.21525, "aux.acc_seg": 65.19159, "loss": 0.50202, "time": 0.39812} -{"mode": "train", "epoch": 70, "iter": 87750, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.29649, "decode.acc_seg": 72.13067, "aux.loss_seg": 0.22452, "aux.acc_seg": 65.37121, "loss": 0.52101, "time": 0.39661} -{"mode": "train", "epoch": 70, "iter": 87800, "lr": 3e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.28473, "decode.acc_seg": 70.54601, "aux.loss_seg": 0.20883, "aux.acc_seg": 64.48576, "loss": 0.49356, "time": 0.39904} -{"mode": "train", "epoch": 70, "iter": 87850, "lr": 3e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.28321, "decode.acc_seg": 72.56798, "aux.loss_seg": 0.21811, "aux.acc_seg": 65.20624, "loss": 0.50132, "time": 0.40515} -{"mode": "train", "epoch": 70, "iter": 87900, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29315, "decode.acc_seg": 71.56906, "aux.loss_seg": 0.22586, "aux.acc_seg": 64.32138, "loss": 0.51901, "time": 0.39818} -{"mode": "train", "epoch": 70, "iter": 87950, "lr": 3e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.30585, "decode.acc_seg": 71.82554, "aux.loss_seg": 0.2211, "aux.acc_seg": 65.62422, "loss": 0.52695, "time": 0.41432} -{"mode": "train", "epoch": 70, "iter": 88000, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.29796, "decode.acc_seg": 70.9229, "aux.loss_seg": 0.22316, "aux.acc_seg": 63.8006, "loss": 0.52113, "time": 0.39893} -{"mode": "train", "epoch": 70, "iter": 88050, "lr": 3e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.2897, "decode.acc_seg": 71.16502, "aux.loss_seg": 0.21704, "aux.acc_seg": 64.35266, "loss": 0.50674, "time": 0.3992} -{"mode": "train", "epoch": 70, "iter": 88100, "lr": 3e-05, "memory": 17837, "data_time": 0.00721, "decode.loss_seg": 0.28267, "decode.acc_seg": 70.95801, "aux.loss_seg": 0.20565, "aux.acc_seg": 64.76104, "loss": 0.48833, "time": 0.40559} -{"mode": "train", "epoch": 70, "iter": 88150, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.29714, "decode.acc_seg": 70.8179, "aux.loss_seg": 0.21909, "aux.acc_seg": 64.43536, "loss": 0.51623, "time": 0.39547} -{"mode": "train", "epoch": 70, "iter": 88200, "lr": 3e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.29735, "decode.acc_seg": 70.28277, "aux.loss_seg": 0.21429, "aux.acc_seg": 64.03871, "loss": 0.51164, "time": 0.39182} -{"mode": "train", "epoch": 70, "iter": 88250, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.29516, "decode.acc_seg": 71.19486, "aux.loss_seg": 0.22097, "aux.acc_seg": 64.64345, "loss": 0.51613, "time": 0.39823} -{"mode": "train", "epoch": 70, "iter": 88300, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.30214, "decode.acc_seg": 70.87484, "aux.loss_seg": 0.22535, "aux.acc_seg": 63.78651, "loss": 0.52749, "time": 0.40814} -{"mode": "train", "epoch": 70, "iter": 88350, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.30718, "decode.acc_seg": 69.56909, "aux.loss_seg": 0.2267, "aux.acc_seg": 62.44184, "loss": 0.53387, "time": 0.39625} -{"mode": "train", "epoch": 70, "iter": 88400, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.30088, "decode.acc_seg": 71.74381, "aux.loss_seg": 0.21356, "aux.acc_seg": 65.61751, "loss": 0.51444, "time": 0.40058} -{"mode": "train", "epoch": 71, "iter": 88450, "lr": 3e-05, "memory": 17837, "data_time": 0.24451, "decode.loss_seg": 0.29434, "decode.acc_seg": 71.74954, "aux.loss_seg": 0.21665, "aux.acc_seg": 65.04559, "loss": 0.51099, "time": 0.63268} -{"mode": "train", "epoch": 71, "iter": 88500, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.29806, "decode.acc_seg": 72.12089, "aux.loss_seg": 0.21879, "aux.acc_seg": 65.49725, "loss": 0.51685, "time": 0.39757} -{"mode": "train", "epoch": 71, "iter": 88550, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.28588, "decode.acc_seg": 73.06517, "aux.loss_seg": 0.22084, "aux.acc_seg": 65.64141, "loss": 0.50672, "time": 0.40592} -{"mode": "train", "epoch": 71, "iter": 88600, "lr": 3e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.29739, "decode.acc_seg": 71.0802, "aux.loss_seg": 0.22038, "aux.acc_seg": 64.52993, "loss": 0.51777, "time": 0.395} -{"mode": "train", "epoch": 71, "iter": 88650, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3029, "decode.acc_seg": 71.38089, "aux.loss_seg": 0.21788, "aux.acc_seg": 64.97378, "loss": 0.52078, "time": 0.39865} -{"mode": "train", "epoch": 71, "iter": 88700, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.27492, "decode.acc_seg": 70.24709, "aux.loss_seg": 0.20577, "aux.acc_seg": 63.77757, "loss": 0.48069, "time": 0.3991} -{"mode": "train", "epoch": 71, "iter": 88750, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.3044, "decode.acc_seg": 71.17737, "aux.loss_seg": 0.22997, "aux.acc_seg": 64.27127, "loss": 0.53437, "time": 0.41602} -{"mode": "train", "epoch": 71, "iter": 88800, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.28986, "decode.acc_seg": 72.9477, "aux.loss_seg": 0.2203, "aux.acc_seg": 66.31508, "loss": 0.51015, "time": 0.40377} -{"mode": "train", "epoch": 71, "iter": 88850, "lr": 3e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.29151, "decode.acc_seg": 71.49393, "aux.loss_seg": 0.21668, "aux.acc_seg": 65.16405, "loss": 0.50819, "time": 0.41687} -{"mode": "train", "epoch": 71, "iter": 88900, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27716, "decode.acc_seg": 71.8761, "aux.loss_seg": 0.21847, "aux.acc_seg": 64.84473, "loss": 0.49563, "time": 0.39739} -{"mode": "train", "epoch": 71, "iter": 88950, "lr": 3e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.29191, "decode.acc_seg": 70.41434, "aux.loss_seg": 0.22917, "aux.acc_seg": 63.35141, "loss": 0.52108, "time": 0.41958} -{"mode": "train", "epoch": 71, "iter": 89000, "lr": 3e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.29882, "decode.acc_seg": 71.55706, "aux.loss_seg": 0.22094, "aux.acc_seg": 64.79835, "loss": 0.51976, "time": 0.40781} -{"mode": "train", "epoch": 71, "iter": 89050, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.29933, "decode.acc_seg": 70.96882, "aux.loss_seg": 0.21531, "aux.acc_seg": 65.14054, "loss": 0.51464, "time": 0.40056} -{"mode": "train", "epoch": 71, "iter": 89100, "lr": 3e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.30332, "decode.acc_seg": 71.10155, "aux.loss_seg": 0.22515, "aux.acc_seg": 64.08416, "loss": 0.52846, "time": 0.40215} -{"mode": "train", "epoch": 71, "iter": 89150, "lr": 3e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.29362, "decode.acc_seg": 70.79181, "aux.loss_seg": 0.21962, "aux.acc_seg": 64.43134, "loss": 0.51323, "time": 0.39975} -{"mode": "train", "epoch": 71, "iter": 89200, "lr": 3e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.29419, "decode.acc_seg": 71.00109, "aux.loss_seg": 0.21738, "aux.acc_seg": 64.53819, "loss": 0.51157, "time": 0.41337} -{"mode": "train", "epoch": 71, "iter": 89250, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.29271, "decode.acc_seg": 70.60381, "aux.loss_seg": 0.21505, "aux.acc_seg": 64.03814, "loss": 0.50776, "time": 0.40981} -{"mode": "train", "epoch": 71, "iter": 89300, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.291, "decode.acc_seg": 70.48997, "aux.loss_seg": 0.22792, "aux.acc_seg": 62.79341, "loss": 0.51892, "time": 0.4107} -{"mode": "train", "epoch": 71, "iter": 89350, "lr": 3e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.28782, "decode.acc_seg": 70.90262, "aux.loss_seg": 0.2139, "aux.acc_seg": 64.61953, "loss": 0.50172, "time": 0.40457} -{"mode": "train", "epoch": 71, "iter": 89400, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.3063, "decode.acc_seg": 70.08265, "aux.loss_seg": 0.22528, "aux.acc_seg": 63.2217, "loss": 0.53157, "time": 0.39744} -{"mode": "train", "epoch": 71, "iter": 89450, "lr": 3e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.29235, "decode.acc_seg": 71.99984, "aux.loss_seg": 0.21034, "aux.acc_seg": 65.81507, "loss": 0.50269, "time": 0.39318} -{"mode": "train", "epoch": 71, "iter": 89500, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.30348, "decode.acc_seg": 71.6276, "aux.loss_seg": 0.22175, "aux.acc_seg": 64.88886, "loss": 0.52523, "time": 0.3929} -{"mode": "train", "epoch": 71, "iter": 89550, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.28802, "decode.acc_seg": 70.88024, "aux.loss_seg": 0.21001, "aux.acc_seg": 64.70261, "loss": 0.49804, "time": 0.39206} -{"mode": "train", "epoch": 71, "iter": 89600, "lr": 3e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.293, "decode.acc_seg": 71.29683, "aux.loss_seg": 0.22803, "aux.acc_seg": 63.96917, "loss": 0.52103, "time": 0.40201} -{"mode": "train", "epoch": 71, "iter": 89650, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.29879, "decode.acc_seg": 72.18059, "aux.loss_seg": 0.21992, "aux.acc_seg": 65.71743, "loss": 0.51871, "time": 0.4006} -{"mode": "train", "epoch": 72, "iter": 89700, "lr": 3e-05, "memory": 17837, "data_time": 0.24202, "decode.loss_seg": 0.28712, "decode.acc_seg": 71.8731, "aux.loss_seg": 0.20833, "aux.acc_seg": 65.93319, "loss": 0.49545, "time": 0.64696} -{"mode": "train", "epoch": 72, "iter": 89750, "lr": 3e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.28834, "decode.acc_seg": 71.15451, "aux.loss_seg": 0.20801, "aux.acc_seg": 64.86681, "loss": 0.49635, "time": 0.39738} -{"mode": "train", "epoch": 72, "iter": 89800, "lr": 3e-05, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.27915, "decode.acc_seg": 71.00746, "aux.loss_seg": 0.21847, "aux.acc_seg": 64.17579, "loss": 0.49762, "time": 0.41733} -{"mode": "train", "epoch": 72, "iter": 89850, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.30304, "decode.acc_seg": 71.60537, "aux.loss_seg": 0.22324, "aux.acc_seg": 64.86114, "loss": 0.52628, "time": 0.41512} -{"mode": "train", "epoch": 72, "iter": 89900, "lr": 3e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.28433, "decode.acc_seg": 71.27693, "aux.loss_seg": 0.21931, "aux.acc_seg": 64.2659, "loss": 0.50364, "time": 0.39659} -{"mode": "train", "epoch": 72, "iter": 89950, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.28785, "decode.acc_seg": 71.7732, "aux.loss_seg": 0.21567, "aux.acc_seg": 65.10741, "loss": 0.50352, "time": 0.39647} -{"mode": "train", "epoch": 72, "iter": 90000, "lr": 3e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.29506, "decode.acc_seg": 71.90052, "aux.loss_seg": 0.22051, "aux.acc_seg": 65.46137, "loss": 0.51557, "time": 0.39495} -{"mode": "train", "epoch": 72, "iter": 90050, "lr": 3e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.3117, "decode.acc_seg": 70.94442, "aux.loss_seg": 0.23599, "aux.acc_seg": 63.55672, "loss": 0.54769, "time": 0.3958} -{"mode": "train", "epoch": 72, "iter": 90100, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.29774, "decode.acc_seg": 71.67074, "aux.loss_seg": 0.22146, "aux.acc_seg": 64.81603, "loss": 0.5192, "time": 0.40748} -{"mode": "train", "epoch": 72, "iter": 90150, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.28268, "decode.acc_seg": 71.31621, "aux.loss_seg": 0.21083, "aux.acc_seg": 64.76977, "loss": 0.49352, "time": 0.39637} -{"mode": "train", "epoch": 72, "iter": 90200, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29683, "decode.acc_seg": 73.05684, "aux.loss_seg": 0.22559, "aux.acc_seg": 65.88525, "loss": 0.52242, "time": 0.39488} -{"mode": "train", "epoch": 72, "iter": 90250, "lr": 3e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.29922, "decode.acc_seg": 70.9058, "aux.loss_seg": 0.21899, "aux.acc_seg": 64.5076, "loss": 0.5182, "time": 0.39575} -{"mode": "train", "epoch": 72, "iter": 90300, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.31002, "decode.acc_seg": 70.2763, "aux.loss_seg": 0.22735, "aux.acc_seg": 63.39054, "loss": 0.53737, "time": 0.39666} -{"mode": "train", "epoch": 72, "iter": 90350, "lr": 3e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.30106, "decode.acc_seg": 71.39588, "aux.loss_seg": 0.22168, "aux.acc_seg": 64.56027, "loss": 0.52274, "time": 0.41638} -{"mode": "train", "epoch": 72, "iter": 90400, "lr": 3e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.29857, "decode.acc_seg": 71.578, "aux.loss_seg": 0.2161, "aux.acc_seg": 65.17504, "loss": 0.51467, "time": 0.402} -{"mode": "train", "epoch": 72, "iter": 90450, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.2872, "decode.acc_seg": 70.80195, "aux.loss_seg": 0.21403, "aux.acc_seg": 64.14334, "loss": 0.50123, "time": 0.3964} -{"mode": "train", "epoch": 72, "iter": 90500, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29259, "decode.acc_seg": 71.51929, "aux.loss_seg": 0.22379, "aux.acc_seg": 64.64901, "loss": 0.51638, "time": 0.39674} -{"mode": "train", "epoch": 72, "iter": 90550, "lr": 3e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.29193, "decode.acc_seg": 71.66587, "aux.loss_seg": 0.21895, "aux.acc_seg": 64.96089, "loss": 0.51089, "time": 0.40118} -{"mode": "train", "epoch": 72, "iter": 90600, "lr": 3e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.29494, "decode.acc_seg": 71.04263, "aux.loss_seg": 0.21202, "aux.acc_seg": 64.81718, "loss": 0.50697, "time": 0.39457} -{"mode": "train", "epoch": 72, "iter": 90650, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.3006, "decode.acc_seg": 72.77841, "aux.loss_seg": 0.22222, "aux.acc_seg": 66.40925, "loss": 0.52283, "time": 0.40051} -{"mode": "train", "epoch": 72, "iter": 90700, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.29059, "decode.acc_seg": 71.33392, "aux.loss_seg": 0.21542, "aux.acc_seg": 64.79493, "loss": 0.506, "time": 0.39918} -{"mode": "train", "epoch": 72, "iter": 90750, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.30868, "decode.acc_seg": 71.10277, "aux.loss_seg": 0.21692, "aux.acc_seg": 64.97829, "loss": 0.5256, "time": 0.41097} -{"mode": "train", "epoch": 72, "iter": 90800, "lr": 3e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.28141, "decode.acc_seg": 72.07704, "aux.loss_seg": 0.21639, "aux.acc_seg": 65.19475, "loss": 0.4978, "time": 0.39896} -{"mode": "train", "epoch": 72, "iter": 90850, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.29375, "decode.acc_seg": 70.80055, "aux.loss_seg": 0.21891, "aux.acc_seg": 63.94992, "loss": 0.51266, "time": 0.39859} -{"mode": "train", "epoch": 72, "iter": 90900, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.28399, "decode.acc_seg": 70.67972, "aux.loss_seg": 0.21599, "aux.acc_seg": 64.23467, "loss": 0.49999, "time": 0.39305} -{"mode": "train", "epoch": 73, "iter": 90950, "lr": 3e-05, "memory": 17837, "data_time": 0.2393, "decode.loss_seg": 0.29714, "decode.acc_seg": 71.41742, "aux.loss_seg": 0.22201, "aux.acc_seg": 64.56872, "loss": 0.51915, "time": 0.62933} -{"mode": "train", "epoch": 73, "iter": 91000, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.27541, "decode.acc_seg": 71.05086, "aux.loss_seg": 0.21305, "aux.acc_seg": 64.39392, "loss": 0.48846, "time": 0.3926} -{"mode": "train", "epoch": 73, "iter": 91050, "lr": 3e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.28516, "decode.acc_seg": 72.11628, "aux.loss_seg": 0.21941, "aux.acc_seg": 64.85802, "loss": 0.50458, "time": 0.39333} -{"mode": "train", "epoch": 73, "iter": 91100, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.29246, "decode.acc_seg": 71.33793, "aux.loss_seg": 0.21624, "aux.acc_seg": 64.82224, "loss": 0.50869, "time": 0.39933} -{"mode": "train", "epoch": 73, "iter": 91150, "lr": 3e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.28125, "decode.acc_seg": 70.4984, "aux.loss_seg": 0.21067, "aux.acc_seg": 64.24144, "loss": 0.49192, "time": 0.41923} -{"mode": "train", "epoch": 73, "iter": 91200, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.29101, "decode.acc_seg": 70.08028, "aux.loss_seg": 0.21885, "aux.acc_seg": 63.27966, "loss": 0.50986, "time": 0.40047} -{"mode": "train", "epoch": 73, "iter": 91250, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28224, "decode.acc_seg": 70.36294, "aux.loss_seg": 0.21254, "aux.acc_seg": 63.70722, "loss": 0.49479, "time": 0.41241} -{"mode": "train", "epoch": 73, "iter": 91300, "lr": 3e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.28058, "decode.acc_seg": 71.65694, "aux.loss_seg": 0.20882, "aux.acc_seg": 65.17277, "loss": 0.4894, "time": 0.39991} -{"mode": "train", "epoch": 73, "iter": 91350, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.28414, "decode.acc_seg": 71.285, "aux.loss_seg": 0.20961, "aux.acc_seg": 65.21964, "loss": 0.49375, "time": 0.39517} -{"mode": "train", "epoch": 73, "iter": 91400, "lr": 3e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.30103, "decode.acc_seg": 72.26379, "aux.loss_seg": 0.22163, "aux.acc_seg": 65.52731, "loss": 0.52266, "time": 0.41343} -{"mode": "train", "epoch": 73, "iter": 91450, "lr": 3e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.30211, "decode.acc_seg": 71.67306, "aux.loss_seg": 0.2246, "aux.acc_seg": 64.71819, "loss": 0.52671, "time": 0.39658} -{"mode": "train", "epoch": 73, "iter": 91500, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29645, "decode.acc_seg": 70.33699, "aux.loss_seg": 0.22308, "aux.acc_seg": 63.35075, "loss": 0.51953, "time": 0.39448} -{"mode": "train", "epoch": 73, "iter": 91550, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.29864, "decode.acc_seg": 71.65281, "aux.loss_seg": 0.21536, "aux.acc_seg": 65.32037, "loss": 0.514, "time": 0.40567} -{"mode": "train", "epoch": 73, "iter": 91600, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.2945, "decode.acc_seg": 72.03047, "aux.loss_seg": 0.21821, "aux.acc_seg": 65.38534, "loss": 0.51271, "time": 0.39563} -{"mode": "train", "epoch": 73, "iter": 91650, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.28975, "decode.acc_seg": 72.00754, "aux.loss_seg": 0.21448, "aux.acc_seg": 65.64631, "loss": 0.50423, "time": 0.39707} -{"mode": "train", "epoch": 73, "iter": 91700, "lr": 3e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.28827, "decode.acc_seg": 70.92963, "aux.loss_seg": 0.21622, "aux.acc_seg": 64.69138, "loss": 0.50449, "time": 0.40965} -{"mode": "train", "epoch": 73, "iter": 91750, "lr": 3e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.29096, "decode.acc_seg": 71.27423, "aux.loss_seg": 0.22558, "aux.acc_seg": 63.97297, "loss": 0.51654, "time": 0.40652} -{"mode": "train", "epoch": 73, "iter": 91800, "lr": 3e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.29459, "decode.acc_seg": 69.4523, "aux.loss_seg": 0.21279, "aux.acc_seg": 63.1269, "loss": 0.50738, "time": 0.41128} -{"mode": "train", "epoch": 73, "iter": 91850, "lr": 3e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.29511, "decode.acc_seg": 71.29365, "aux.loss_seg": 0.22571, "aux.acc_seg": 64.33073, "loss": 0.52082, "time": 0.39709} -{"mode": "train", "epoch": 73, "iter": 91900, "lr": 3e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.28232, "decode.acc_seg": 72.44294, "aux.loss_seg": 0.21629, "aux.acc_seg": 65.47976, "loss": 0.49861, "time": 0.39058} -{"mode": "train", "epoch": 73, "iter": 91950, "lr": 3e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.29246, "decode.acc_seg": 71.31717, "aux.loss_seg": 0.22796, "aux.acc_seg": 63.86606, "loss": 0.52042, "time": 0.39185} -{"mode": "train", "epoch": 73, "iter": 92000, "lr": 3e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27882, "decode.acc_seg": 71.23312, "aux.loss_seg": 0.21587, "aux.acc_seg": 64.03681, "loss": 0.49469, "time": 0.39508} -{"mode": "train", "epoch": 73, "iter": 92050, "lr": 3e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29655, "decode.acc_seg": 71.44181, "aux.loss_seg": 0.22361, "aux.acc_seg": 64.39864, "loss": 0.52015, "time": 0.39421} -{"mode": "train", "epoch": 73, "iter": 92100, "lr": 3e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.29164, "decode.acc_seg": 72.52516, "aux.loss_seg": 0.21542, "aux.acc_seg": 66.20982, "loss": 0.50706, "time": 0.40264} -{"mode": "train", "epoch": 73, "iter": 92150, "lr": 3e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.28069, "decode.acc_seg": 72.01461, "aux.loss_seg": 0.21719, "aux.acc_seg": 65.01746, "loss": 0.49788, "time": 0.39331} -{"mode": "train", "epoch": 73, "iter": 92200, "lr": 3e-05, "memory": 17837, "data_time": 0.24544, "decode.loss_seg": 0.28233, "decode.acc_seg": 72.07164, "aux.loss_seg": 0.21471, "aux.acc_seg": 65.24748, "loss": 0.49704, "time": 0.6399} -{"mode": "train", "epoch": 74, "iter": 92250, "lr": 3e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.28525, "decode.acc_seg": 71.8772, "aux.loss_seg": 0.2145, "aux.acc_seg": 65.10002, "loss": 0.49974, "time": 0.40581} -{"mode": "train", "epoch": 74, "iter": 92300, "lr": 3e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.28808, "decode.acc_seg": 71.67118, "aux.loss_seg": 0.21139, "aux.acc_seg": 65.37724, "loss": 0.49946, "time": 0.41497} -{"mode": "train", "epoch": 74, "iter": 92350, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.29584, "decode.acc_seg": 71.44262, "aux.loss_seg": 0.21752, "aux.acc_seg": 65.04111, "loss": 0.51336, "time": 0.41546} -{"mode": "train", "epoch": 74, "iter": 92400, "lr": 3e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.30009, "decode.acc_seg": 71.56401, "aux.loss_seg": 0.21906, "aux.acc_seg": 65.14194, "loss": 0.51915, "time": 0.41001} -{"mode": "train", "epoch": 74, "iter": 92450, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.28502, "decode.acc_seg": 72.12137, "aux.loss_seg": 0.20451, "aux.acc_seg": 65.6709, "loss": 0.48953, "time": 0.39808} -{"mode": "train", "epoch": 74, "iter": 92500, "lr": 3e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.29256, "decode.acc_seg": 70.66167, "aux.loss_seg": 0.21902, "aux.acc_seg": 63.82519, "loss": 0.51158, "time": 0.40649} -{"mode": "train", "epoch": 74, "iter": 92550, "lr": 3e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.30001, "decode.acc_seg": 72.08079, "aux.loss_seg": 0.22409, "aux.acc_seg": 65.13447, "loss": 0.5241, "time": 0.39981} -{"mode": "train", "epoch": 74, "iter": 92600, "lr": 3e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.28417, "decode.acc_seg": 72.09309, "aux.loss_seg": 0.21342, "aux.acc_seg": 65.3944, "loss": 0.49758, "time": 0.39662} -{"mode": "train", "epoch": 74, "iter": 92650, "lr": 3e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.28427, "decode.acc_seg": 70.40393, "aux.loss_seg": 0.21631, "aux.acc_seg": 63.31635, "loss": 0.50058, "time": 0.40109} -{"mode": "train", "epoch": 74, "iter": 92700, "lr": 3e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.28952, "decode.acc_seg": 71.18332, "aux.loss_seg": 0.20892, "aux.acc_seg": 65.10046, "loss": 0.49843, "time": 0.39317} -{"mode": "train", "epoch": 74, "iter": 92750, "lr": 3e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.28794, "decode.acc_seg": 71.73021, "aux.loss_seg": 0.22384, "aux.acc_seg": 64.68989, "loss": 0.51178, "time": 0.39562} -{"mode": "train", "epoch": 74, "iter": 92800, "lr": 3e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.28726, "decode.acc_seg": 71.57073, "aux.loss_seg": 0.22469, "aux.acc_seg": 64.48985, "loss": 0.51195, "time": 0.40875} -{"mode": "train", "epoch": 74, "iter": 92850, "lr": 3e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.28821, "decode.acc_seg": 71.55684, "aux.loss_seg": 0.21482, "aux.acc_seg": 64.75624, "loss": 0.50303, "time": 0.39785} -{"mode": "train", "epoch": 74, "iter": 92900, "lr": 3e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.29081, "decode.acc_seg": 72.57768, "aux.loss_seg": 0.21594, "aux.acc_seg": 65.96954, "loss": 0.50675, "time": 0.40972} -{"mode": "train", "epoch": 74, "iter": 92950, "lr": 3e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.28788, "decode.acc_seg": 71.00417, "aux.loss_seg": 0.2166, "aux.acc_seg": 64.32851, "loss": 0.50448, "time": 0.40866} -{"mode": "train", "epoch": 74, "iter": 93000, "lr": 3e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28327, "decode.acc_seg": 71.53911, "aux.loss_seg": 0.20474, "aux.acc_seg": 65.55895, "loss": 0.488, "time": 0.39925} -{"mode": "train", "epoch": 74, "iter": 93050, "lr": 3e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.2892, "decode.acc_seg": 70.22805, "aux.loss_seg": 0.21786, "aux.acc_seg": 63.55094, "loss": 0.50707, "time": 0.39573} -{"mode": "train", "epoch": 74, "iter": 93100, "lr": 3e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.28029, "decode.acc_seg": 71.35553, "aux.loss_seg": 0.21624, "aux.acc_seg": 64.55477, "loss": 0.49654, "time": 0.39687} -{"mode": "train", "epoch": 74, "iter": 93150, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.27796, "decode.acc_seg": 71.75336, "aux.loss_seg": 0.21993, "aux.acc_seg": 64.65753, "loss": 0.49789, "time": 0.41009} -{"mode": "train", "epoch": 74, "iter": 93200, "lr": 3e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.29789, "decode.acc_seg": 71.35314, "aux.loss_seg": 0.22465, "aux.acc_seg": 64.48032, "loss": 0.52254, "time": 0.39627} -{"mode": "train", "epoch": 74, "iter": 93250, "lr": 3e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.30371, "decode.acc_seg": 69.86872, "aux.loss_seg": 0.21958, "aux.acc_seg": 63.70231, "loss": 0.52329, "time": 0.41375} -{"mode": "train", "epoch": 74, "iter": 93300, "lr": 3e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.30056, "decode.acc_seg": 71.39279, "aux.loss_seg": 0.22366, "aux.acc_seg": 64.98216, "loss": 0.52422, "time": 0.39528} -{"mode": "train", "epoch": 74, "iter": 93350, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29105, "decode.acc_seg": 70.77209, "aux.loss_seg": 0.21562, "aux.acc_seg": 64.13847, "loss": 0.50668, "time": 0.41635} -{"mode": "train", "epoch": 74, "iter": 93400, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.28281, "decode.acc_seg": 69.8418, "aux.loss_seg": 0.21665, "aux.acc_seg": 63.15772, "loss": 0.49946, "time": 0.41335} -{"mode": "train", "epoch": 74, "iter": 93450, "lr": 2e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.28073, "decode.acc_seg": 71.82161, "aux.loss_seg": 0.21352, "aux.acc_seg": 65.04879, "loss": 0.49424, "time": 0.40365} -{"mode": "train", "epoch": 75, "iter": 93500, "lr": 2e-05, "memory": 17837, "data_time": 0.24326, "decode.loss_seg": 0.29367, "decode.acc_seg": 74.0836, "aux.loss_seg": 0.22009, "aux.acc_seg": 67.30218, "loss": 0.51376, "time": 0.64088} -{"mode": "train", "epoch": 75, "iter": 93550, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.29049, "decode.acc_seg": 71.34781, "aux.loss_seg": 0.22301, "aux.acc_seg": 64.31558, "loss": 0.5135, "time": 0.40049} -{"mode": "train", "epoch": 75, "iter": 93600, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27821, "decode.acc_seg": 71.99565, "aux.loss_seg": 0.20868, "aux.acc_seg": 65.44295, "loss": 0.48689, "time": 0.40811} -{"mode": "train", "epoch": 75, "iter": 93650, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.27719, "decode.acc_seg": 70.78845, "aux.loss_seg": 0.21, "aux.acc_seg": 64.11034, "loss": 0.48719, "time": 0.4094} -{"mode": "train", "epoch": 75, "iter": 93700, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.2782, "decode.acc_seg": 71.89536, "aux.loss_seg": 0.2057, "aux.acc_seg": 65.59456, "loss": 0.4839, "time": 0.39598} -{"mode": "train", "epoch": 75, "iter": 93750, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.28522, "decode.acc_seg": 69.89908, "aux.loss_seg": 0.21181, "aux.acc_seg": 63.09288, "loss": 0.49704, "time": 0.40721} -{"mode": "train", "epoch": 75, "iter": 93800, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.28919, "decode.acc_seg": 71.22304, "aux.loss_seg": 0.21868, "aux.acc_seg": 64.65797, "loss": 0.50787, "time": 0.40307} -{"mode": "train", "epoch": 75, "iter": 93850, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.27942, "decode.acc_seg": 72.92466, "aux.loss_seg": 0.20738, "aux.acc_seg": 66.58109, "loss": 0.48679, "time": 0.39344} -{"mode": "train", "epoch": 75, "iter": 93900, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.28137, "decode.acc_seg": 71.63401, "aux.loss_seg": 0.21291, "aux.acc_seg": 65.07788, "loss": 0.49428, "time": 0.40698} -{"mode": "train", "epoch": 75, "iter": 93950, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.28436, "decode.acc_seg": 72.35347, "aux.loss_seg": 0.21557, "aux.acc_seg": 65.87009, "loss": 0.49993, "time": 0.41309} -{"mode": "train", "epoch": 75, "iter": 94000, "lr": 2e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.27775, "decode.acc_seg": 73.03197, "aux.loss_seg": 0.2105, "aux.acc_seg": 66.46222, "loss": 0.48825, "time": 0.39065} -{"mode": "train", "epoch": 75, "iter": 94050, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28879, "decode.acc_seg": 71.72457, "aux.loss_seg": 0.22164, "aux.acc_seg": 64.83211, "loss": 0.51042, "time": 0.39156} -{"mode": "train", "epoch": 75, "iter": 94100, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.26839, "decode.acc_seg": 71.47752, "aux.loss_seg": 0.20084, "aux.acc_seg": 65.45096, "loss": 0.46924, "time": 0.39741} -{"mode": "train", "epoch": 75, "iter": 94150, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.2894, "decode.acc_seg": 70.68655, "aux.loss_seg": 0.2253, "aux.acc_seg": 63.54701, "loss": 0.5147, "time": 0.39748} -{"mode": "train", "epoch": 75, "iter": 94200, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.29702, "decode.acc_seg": 71.22696, "aux.loss_seg": 0.22024, "aux.acc_seg": 64.25507, "loss": 0.51726, "time": 0.40188} -{"mode": "train", "epoch": 75, "iter": 94250, "lr": 2e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.28074, "decode.acc_seg": 72.16281, "aux.loss_seg": 0.20636, "aux.acc_seg": 65.84788, "loss": 0.48711, "time": 0.41746} -{"mode": "train", "epoch": 75, "iter": 94300, "lr": 2e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.28479, "decode.acc_seg": 71.40062, "aux.loss_seg": 0.21497, "aux.acc_seg": 64.76146, "loss": 0.49975, "time": 0.39782} -{"mode": "train", "epoch": 75, "iter": 94350, "lr": 2e-05, "memory": 17837, "data_time": 0.00689, "decode.loss_seg": 0.2928, "decode.acc_seg": 72.86008, "aux.loss_seg": 0.22368, "aux.acc_seg": 65.50127, "loss": 0.51647, "time": 0.39537} -{"mode": "train", "epoch": 75, "iter": 94400, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.27708, "decode.acc_seg": 71.89327, "aux.loss_seg": 0.20543, "aux.acc_seg": 65.90395, "loss": 0.48251, "time": 0.40856} -{"mode": "train", "epoch": 75, "iter": 94450, "lr": 2e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.29277, "decode.acc_seg": 71.70108, "aux.loss_seg": 0.2172, "aux.acc_seg": 65.23701, "loss": 0.50997, "time": 0.39652} -{"mode": "train", "epoch": 75, "iter": 94500, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.28633, "decode.acc_seg": 70.19227, "aux.loss_seg": 0.2164, "aux.acc_seg": 63.46361, "loss": 0.50273, "time": 0.39497} -{"mode": "train", "epoch": 75, "iter": 94550, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28973, "decode.acc_seg": 71.39311, "aux.loss_seg": 0.2156, "aux.acc_seg": 64.74108, "loss": 0.50533, "time": 0.40438} -{"mode": "train", "epoch": 75, "iter": 94600, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.28936, "decode.acc_seg": 70.08092, "aux.loss_seg": 0.21424, "aux.acc_seg": 63.45846, "loss": 0.50361, "time": 0.40513} -{"mode": "train", "epoch": 75, "iter": 94650, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.29894, "decode.acc_seg": 72.38832, "aux.loss_seg": 0.22666, "aux.acc_seg": 64.99404, "loss": 0.5256, "time": 0.39361} -{"mode": "train", "epoch": 75, "iter": 94700, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.27675, "decode.acc_seg": 71.28508, "aux.loss_seg": 0.20955, "aux.acc_seg": 64.30173, "loss": 0.48631, "time": 0.39498} -{"mode": "train", "epoch": 76, "iter": 94750, "lr": 2e-05, "memory": 17837, "data_time": 0.24106, "decode.loss_seg": 0.2733, "decode.acc_seg": 71.41888, "aux.loss_seg": 0.21253, "aux.acc_seg": 64.52492, "loss": 0.48583, "time": 0.62369} -{"mode": "train", "epoch": 76, "iter": 94800, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.27872, "decode.acc_seg": 70.54245, "aux.loss_seg": 0.21555, "aux.acc_seg": 63.62811, "loss": 0.49427, "time": 0.41298} -{"mode": "train", "epoch": 76, "iter": 94850, "lr": 2e-05, "memory": 17837, "data_time": 0.00662, "decode.loss_seg": 0.28469, "decode.acc_seg": 72.44748, "aux.loss_seg": 0.21244, "aux.acc_seg": 65.68268, "loss": 0.49713, "time": 0.40781} -{"mode": "train", "epoch": 76, "iter": 94900, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.29516, "decode.acc_seg": 71.02203, "aux.loss_seg": 0.22045, "aux.acc_seg": 64.09007, "loss": 0.51561, "time": 0.41334} -{"mode": "train", "epoch": 76, "iter": 94950, "lr": 2e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.27838, "decode.acc_seg": 71.18519, "aux.loss_seg": 0.21732, "aux.acc_seg": 64.29477, "loss": 0.49569, "time": 0.39769} -{"mode": "train", "epoch": 76, "iter": 95000, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.29482, "decode.acc_seg": 70.37761, "aux.loss_seg": 0.21782, "aux.acc_seg": 63.579, "loss": 0.51264, "time": 0.39735} -{"mode": "train", "epoch": 76, "iter": 95050, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.27931, "decode.acc_seg": 71.66167, "aux.loss_seg": 0.20403, "aux.acc_seg": 65.83858, "loss": 0.48334, "time": 0.39624} -{"mode": "train", "epoch": 76, "iter": 95100, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27802, "decode.acc_seg": 71.00703, "aux.loss_seg": 0.21249, "aux.acc_seg": 64.18382, "loss": 0.49052, "time": 0.39508} -{"mode": "train", "epoch": 76, "iter": 95150, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27869, "decode.acc_seg": 71.79104, "aux.loss_seg": 0.2119, "aux.acc_seg": 65.11211, "loss": 0.49059, "time": 0.39384} -{"mode": "train", "epoch": 76, "iter": 95200, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.29471, "decode.acc_seg": 72.35152, "aux.loss_seg": 0.21815, "aux.acc_seg": 65.66401, "loss": 0.51286, "time": 0.39499} -{"mode": "train", "epoch": 76, "iter": 95250, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29129, "decode.acc_seg": 70.86156, "aux.loss_seg": 0.21917, "aux.acc_seg": 64.44415, "loss": 0.51046, "time": 0.41566} -{"mode": "train", "epoch": 76, "iter": 95300, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.28765, "decode.acc_seg": 71.85724, "aux.loss_seg": 0.21085, "aux.acc_seg": 65.78415, "loss": 0.4985, "time": 0.41002} -{"mode": "train", "epoch": 76, "iter": 95350, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.27221, "decode.acc_seg": 70.61898, "aux.loss_seg": 0.20254, "aux.acc_seg": 64.27873, "loss": 0.47476, "time": 0.40289} -{"mode": "train", "epoch": 76, "iter": 95400, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.27971, "decode.acc_seg": 72.04634, "aux.loss_seg": 0.20813, "aux.acc_seg": 65.76906, "loss": 0.48785, "time": 0.40756} -{"mode": "train", "epoch": 76, "iter": 95450, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.27574, "decode.acc_seg": 72.41826, "aux.loss_seg": 0.21011, "aux.acc_seg": 65.91889, "loss": 0.48586, "time": 0.39341} -{"mode": "train", "epoch": 76, "iter": 95500, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.26239, "decode.acc_seg": 71.94465, "aux.loss_seg": 0.20712, "aux.acc_seg": 65.27706, "loss": 0.46951, "time": 0.39993} -{"mode": "train", "epoch": 76, "iter": 95550, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.29948, "decode.acc_seg": 70.42223, "aux.loss_seg": 0.21886, "aux.acc_seg": 63.9656, "loss": 0.51834, "time": 0.3934} -{"mode": "train", "epoch": 76, "iter": 95600, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.27764, "decode.acc_seg": 70.78192, "aux.loss_seg": 0.21949, "aux.acc_seg": 63.80946, "loss": 0.49713, "time": 0.39778} -{"mode": "train", "epoch": 76, "iter": 95650, "lr": 2e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.2939, "decode.acc_seg": 71.05517, "aux.loss_seg": 0.224, "aux.acc_seg": 64.20177, "loss": 0.5179, "time": 0.39669} -{"mode": "train", "epoch": 76, "iter": 95700, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.30037, "decode.acc_seg": 71.60263, "aux.loss_seg": 0.21995, "aux.acc_seg": 65.26373, "loss": 0.52032, "time": 0.40444} -{"mode": "train", "epoch": 76, "iter": 95750, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.29129, "decode.acc_seg": 70.94098, "aux.loss_seg": 0.21588, "aux.acc_seg": 64.27568, "loss": 0.50717, "time": 0.39673} -{"mode": "train", "epoch": 76, "iter": 95800, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.27745, "decode.acc_seg": 71.01056, "aux.loss_seg": 0.20397, "aux.acc_seg": 64.98502, "loss": 0.48142, "time": 0.40436} -{"mode": "train", "epoch": 76, "iter": 95850, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.30675, "decode.acc_seg": 71.29927, "aux.loss_seg": 0.22712, "aux.acc_seg": 64.27546, "loss": 0.53386, "time": 0.39715} -{"mode": "train", "epoch": 76, "iter": 95900, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.29719, "decode.acc_seg": 71.55775, "aux.loss_seg": 0.2137, "aux.acc_seg": 65.12813, "loss": 0.51089, "time": 0.41066} -{"mode": "train", "epoch": 76, "iter": 95950, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.28526, "decode.acc_seg": 72.94375, "aux.loss_seg": 0.21068, "aux.acc_seg": 66.47843, "loss": 0.49594, "time": 0.40074} -{"mode": "val", "epoch": 77, "iter": 96000, "lr": 2e-05, "mIoU": 0.4463, "mAcc": 0.5712, "aAcc": 0.809, "IoU.wall": 0.747, "IoU.building": 0.8018, "IoU.sky": 0.9382, "IoU.floor": 0.7905, "IoU.tree": 0.7321, "IoU.ceiling": 0.8169, "IoU.road": 0.8076, "IoU.bed ": 0.8447, "IoU.windowpane": 0.5929, "IoU.grass": 0.6509, "IoU.cabinet": 0.5712, "IoU.sidewalk": 0.6036, "IoU.person": 0.7525, "IoU.earth": 0.3566, "IoU.door": 0.4028, "IoU.table": 0.511, "IoU.mountain": 0.5353, "IoU.plant": 0.4993, "IoU.curtain": 0.6774, "IoU.chair": 0.5089, "IoU.car": 0.8148, "IoU.water": 0.4833, "IoU.painting": 0.6887, "IoU.sofa": 0.5513, "IoU.shelf": 0.3761, "IoU.house": 0.4739, "IoU.sea": 0.4991, "IoU.mirror": 0.5863, "IoU.rug": 0.5775, "IoU.field": 0.2742, "IoU.armchair": 0.3449, "IoU.seat": 0.5954, "IoU.fence": 0.433, "IoU.desk": 0.4364, "IoU.rock": 0.4684, "IoU.wardrobe": 0.3958, "IoU.lamp": 0.5486, "IoU.bathtub": 0.727, "IoU.railing": 0.3355, "IoU.cushion": 0.5148, "IoU.base": 0.3026, "IoU.box": 0.2407, "IoU.column": 0.4085, "IoU.signboard": 0.3191, "IoU.chest of drawers": 0.3885, "IoU.counter": 0.279, "IoU.sand": 0.3978, "IoU.sink": 0.6574, "IoU.skyscraper": 0.5664, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6875, "IoU.grandstand": 0.5007, "IoU.path": 0.1204, "IoU.stairs": 0.2718, "IoU.runway": 0.7215, "IoU.case": 0.4758, "IoU.pool table": 0.8884, "IoU.pillow": 0.5121, "IoU.screen door": 0.5718, "IoU.stairway": 0.2862, "IoU.river": 0.1442, "IoU.bridge": 0.403, "IoU.bookcase": 0.4092, "IoU.blind": NaN, "IoU.coffee table": 0.4863, "IoU.toilet": 0.7957, "IoU.flower": 0.3867, "IoU.book": 0.4458, "IoU.hill": 0.123, "IoU.bench": 0.3759, "IoU.countertop": 0.5092, "IoU.stove": 0.6291, "IoU.palm": 0.4879, "IoU.kitchen island": 0.2977, "IoU.computer": 0.6091, "IoU.swivel chair": 0.4345, "IoU.boat": 0.4146, "IoU.bar": 0.3443, "IoU.arcade machine": 0.6346, "IoU.hovel": 0.4001, "IoU.bus": 0.7623, "IoU.towel": 0.6281, "IoU.light": 0.5209, "IoU.truck": 0.147, "IoU.tower": 0.2584, "IoU.chandelier": 0.6128, "IoU.awning": 0.2412, "IoU.streetlight": 0.1872, "IoU.booth": 0.6134, "IoU.television receiver": NaN, "IoU.airplane": 0.531, "IoU.dirt track": 0.0698, "IoU.apparel": 0.2798, "IoU.pole": 0.0981, "IoU.land": 0.0179, "IoU.bannister": 0.026, "IoU.escalator": 0.3385, "IoU.ottoman": 0.3664, "IoU.bottle": NaN, "IoU.buffet": 0.5477, "IoU.poster": 0.1831, "IoU.stage": 0.1593, "IoU.van": 0.3955, "IoU.ship": 0.5686, "IoU.fountain": 0.1222, "IoU.conveyer belt": 0.711, "IoU.canopy": 0.3151, "IoU.washer": 0.6631, "IoU.plaything": 0.1584, "IoU.swimming pool": 0.6243, "IoU.stool": 0.3487, "IoU.barrel": 0.5104, "IoU.basket": 0.2294, "IoU.waterfall": 0.5875, "IoU.tent": 0.8951, "IoU.bag": 0.0877, "IoU.minibike": 0.6913, "IoU.cradle": NaN, "IoU.oven": 0.3246, "IoU.ball": 0.3616, "IoU.food": 0.3491, "IoU.step": 0.0767, "IoU.tank": 0.5431, "IoU.trade name": 0.2671, "IoU.microwave": 0.7231, "IoU.pot": 0.4426, "IoU.animal": NaN, "IoU.bicycle": 0.4931, "IoU.lake": 0.0443, "IoU.dishwasher": 0.526, "IoU.screen": 0.6644, "IoU.blanket": 0.1141, "IoU.sculpture": 0.6152, "IoU.hood": 0.5482, "IoU.sconce": 0.4008, "IoU.vase": 0.3011, "IoU.traffic light": 0.2131, "IoU.tray": 0.0635, "IoU.ashcan": 0.2972, "IoU.fan": 0.5285, "IoU.pier": 0.3392, "IoU.crt screen": 0.047, "IoU.plate": 0.522, "IoU.monitor": 0.0836, "IoU.bulletin board": 0.3172, "IoU.shower": 0.0007, "IoU.radiator": 0.5518, "IoU.glass": 0.1115, "IoU.clock": 0.2685, "IoU.flag": 0.4369, "Acc.wall": 0.8713, "Acc.building": 0.9067, "Acc.sky": 0.9723, "Acc.floor": 0.9022, "Acc.tree": 0.8764, "Acc.ceiling": 0.9159, "Acc.road": 0.9009, "Acc.bed ": 0.9386, "Acc.windowpane": 0.7565, "Acc.grass": 0.8129, "Acc.cabinet": 0.6842, "Acc.sidewalk": 0.7269, "Acc.person": 0.8943, "Acc.earth": 0.4731, "Acc.door": 0.5095, "Acc.table": 0.6612, "Acc.mountain": 0.638, "Acc.plant": 0.6031, "Acc.curtain": 0.833, "Acc.chair": 0.6728, "Acc.car": 0.9073, "Acc.water": 0.6538, "Acc.painting": 0.8571, "Acc.sofa": 0.7347, "Acc.shelf": 0.594, "Acc.house": 0.6802, "Acc.sea": 0.711, "Acc.mirror": 0.695, "Acc.rug": 0.6128, "Acc.field": 0.4583, "Acc.armchair": 0.5205, "Acc.seat": 0.7876, "Acc.fence": 0.6285, "Acc.desk": 0.6968, "Acc.rock": 0.6354, "Acc.wardrobe": 0.5549, "Acc.lamp": 0.7104, "Acc.bathtub": 0.7824, "Acc.railing": 0.4949, "Acc.cushion": 0.6873, "Acc.base": 0.4085, "Acc.box": 0.3233, "Acc.column": 0.4954, "Acc.signboard": 0.4554, "Acc.chest of drawers": 0.5376, "Acc.counter": 0.3357, "Acc.sand": 0.5752, "Acc.sink": 0.7497, "Acc.skyscraper": 0.7443, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8294, "Acc.grandstand": 0.7185, "Acc.path": 0.1671, "Acc.stairs": 0.3331, "Acc.runway": 0.9441, "Acc.case": 0.605, "Acc.pool table": 0.9651, "Acc.pillow": 0.6228, "Acc.screen door": 0.7876, "Acc.stairway": 0.401, "Acc.river": 0.2788, "Acc.bridge": 0.4905, "Acc.bookcase": 0.5184, "Acc.blind": NaN, "Acc.coffee table": 0.8041, "Acc.toilet": 0.8866, "Acc.flower": 0.5013, "Acc.book": 0.6786, "Acc.hill": 0.2058, "Acc.bench": 0.4852, "Acc.countertop": 0.613, "Acc.stove": 0.7168, "Acc.palm": 0.7242, "Acc.kitchen island": 0.6918, "Acc.computer": 0.7408, "Acc.swivel chair": 0.5863, "Acc.boat": 0.4796, "Acc.bar": 0.4264, "Acc.arcade machine": 0.6844, "Acc.hovel": 0.4525, "Acc.bus": 0.9366, "Acc.towel": 0.7757, "Acc.light": 0.6189, "Acc.truck": 0.2028, "Acc.tower": 0.4306, "Acc.chandelier": 0.8077, "Acc.awning": 0.291, "Acc.streetlight": 0.2791, "Acc.booth": 0.7473, "Acc.television receiver": NaN, "Acc.airplane": 0.599, "Acc.dirt track": 0.4395, "Acc.apparel": 0.4498, "Acc.pole": 0.1222, "Acc.land": 0.0235, "Acc.bannister": 0.0314, "Acc.escalator": 0.4823, "Acc.ottoman": 0.5613, "Acc.bottle": NaN, "Acc.buffet": 0.6543, "Acc.poster": 0.2645, "Acc.stage": 0.2332, "Acc.van": 0.5298, "Acc.ship": 0.8928, "Acc.fountain": 0.1233, "Acc.conveyer belt": 0.8938, "Acc.canopy": 0.4638, "Acc.washer": 0.6971, "Acc.plaything": 0.274, "Acc.swimming pool": 0.8314, "Acc.stool": 0.4735, "Acc.barrel": 0.6448, "Acc.basket": 0.294, "Acc.waterfall": 0.6578, "Acc.tent": 0.9875, "Acc.bag": 0.1164, "Acc.minibike": 0.8615, "Acc.cradle": NaN, "Acc.oven": 0.5739, "Acc.ball": 0.3803, "Acc.food": 0.3793, "Acc.step": 0.0879, "Acc.tank": 0.6325, "Acc.trade name": 0.3319, "Acc.microwave": 0.8224, "Acc.pot": 0.5266, "Acc.animal": NaN, "Acc.bicycle": 0.7385, "Acc.lake": 0.0474, "Acc.dishwasher": 0.7365, "Acc.screen": 0.8668, "Acc.blanket": 0.132, "Acc.sculpture": 0.7474, "Acc.hood": 0.6549, "Acc.sconce": 0.4904, "Acc.vase": 0.4362, "Acc.traffic light": 0.3196, "Acc.tray": 0.09, "Acc.ashcan": 0.428, "Acc.fan": 0.7158, "Acc.pier": 0.52, "Acc.crt screen": 0.1225, "Acc.plate": 0.6587, "Acc.monitor": 0.0966, "Acc.bulletin board": 0.4491, "Acc.shower": 0.0007, "Acc.radiator": 0.6483, "Acc.glass": 0.1227, "Acc.clock": 0.3446, "Acc.flag": 0.5416} -{"mode": "train", "epoch": 77, "iter": 96050, "lr": 2e-05, "memory": 17837, "data_time": 1.48012, "decode.loss_seg": 0.27128, "decode.acc_seg": 72.54505, "aux.loss_seg": 0.20814, "aux.acc_seg": 65.73124, "loss": 0.47942, "time": 1.88685} -{"mode": "train", "epoch": 77, "iter": 96100, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.28647, "decode.acc_seg": 69.35708, "aux.loss_seg": 0.21077, "aux.acc_seg": 63.2095, "loss": 0.49724, "time": 0.41364} -{"mode": "train", "epoch": 77, "iter": 96150, "lr": 2e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.28841, "decode.acc_seg": 71.58073, "aux.loss_seg": 0.21823, "aux.acc_seg": 65.09064, "loss": 0.50664, "time": 0.39474} -{"mode": "train", "epoch": 77, "iter": 96200, "lr": 2e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.3053, "decode.acc_seg": 71.17478, "aux.loss_seg": 0.22249, "aux.acc_seg": 64.62582, "loss": 0.52779, "time": 0.40732} -{"mode": "train", "epoch": 77, "iter": 96250, "lr": 2e-05, "memory": 17837, "data_time": 0.00557, "decode.loss_seg": 0.28291, "decode.acc_seg": 72.82597, "aux.loss_seg": 0.21668, "aux.acc_seg": 66.08757, "loss": 0.49959, "time": 0.39518} -{"mode": "train", "epoch": 77, "iter": 96300, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.29564, "decode.acc_seg": 70.21614, "aux.loss_seg": 0.21973, "aux.acc_seg": 63.45185, "loss": 0.51537, "time": 0.39708} -{"mode": "train", "epoch": 77, "iter": 96350, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.28546, "decode.acc_seg": 71.43201, "aux.loss_seg": 0.21186, "aux.acc_seg": 65.00849, "loss": 0.49732, "time": 0.39311} -{"mode": "train", "epoch": 77, "iter": 96400, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.2835, "decode.acc_seg": 71.88227, "aux.loss_seg": 0.20688, "aux.acc_seg": 65.73424, "loss": 0.49038, "time": 0.4088} -{"mode": "train", "epoch": 77, "iter": 96450, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27888, "decode.acc_seg": 72.08287, "aux.loss_seg": 0.21039, "aux.acc_seg": 65.6817, "loss": 0.48927, "time": 0.3935} -{"mode": "train", "epoch": 77, "iter": 96500, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.29639, "decode.acc_seg": 71.88544, "aux.loss_seg": 0.22117, "aux.acc_seg": 65.11663, "loss": 0.51755, "time": 0.41114} -{"mode": "train", "epoch": 77, "iter": 96550, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.28014, "decode.acc_seg": 72.29051, "aux.loss_seg": 0.21387, "aux.acc_seg": 65.52198, "loss": 0.49402, "time": 0.41182} -{"mode": "train", "epoch": 77, "iter": 96600, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.27301, "decode.acc_seg": 71.90235, "aux.loss_seg": 0.21688, "aux.acc_seg": 64.89746, "loss": 0.48989, "time": 0.40588} -{"mode": "train", "epoch": 77, "iter": 96650, "lr": 2e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.274, "decode.acc_seg": 72.31387, "aux.loss_seg": 0.213, "aux.acc_seg": 65.25896, "loss": 0.487, "time": 0.41328} -{"mode": "train", "epoch": 77, "iter": 96700, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2842, "decode.acc_seg": 71.32659, "aux.loss_seg": 0.21056, "aux.acc_seg": 65.30087, "loss": 0.49476, "time": 0.41484} -{"mode": "train", "epoch": 77, "iter": 96750, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.29929, "decode.acc_seg": 71.39144, "aux.loss_seg": 0.21991, "aux.acc_seg": 64.56377, "loss": 0.51919, "time": 0.39194} -{"mode": "train", "epoch": 77, "iter": 96800, "lr": 2e-05, "memory": 17837, "data_time": 0.00545, "decode.loss_seg": 0.2895, "decode.acc_seg": 71.50953, "aux.loss_seg": 0.22022, "aux.acc_seg": 64.64481, "loss": 0.50972, "time": 0.393} -{"mode": "train", "epoch": 77, "iter": 96850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.31136, "decode.acc_seg": 71.29896, "aux.loss_seg": 0.23041, "aux.acc_seg": 64.46335, "loss": 0.54177, "time": 0.40956} -{"mode": "train", "epoch": 77, "iter": 96900, "lr": 2e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.27596, "decode.acc_seg": 70.99393, "aux.loss_seg": 0.20926, "aux.acc_seg": 64.59345, "loss": 0.48522, "time": 0.39371} -{"mode": "train", "epoch": 77, "iter": 96950, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2902, "decode.acc_seg": 70.86497, "aux.loss_seg": 0.21634, "aux.acc_seg": 64.4371, "loss": 0.50655, "time": 0.3995} -{"mode": "train", "epoch": 77, "iter": 97000, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.28184, "decode.acc_seg": 70.6432, "aux.loss_seg": 0.21074, "aux.acc_seg": 63.9486, "loss": 0.49257, "time": 0.41182} -{"mode": "train", "epoch": 77, "iter": 97050, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.29429, "decode.acc_seg": 69.92019, "aux.loss_seg": 0.22665, "aux.acc_seg": 62.80895, "loss": 0.52094, "time": 0.39628} -{"mode": "train", "epoch": 77, "iter": 97100, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.28911, "decode.acc_seg": 71.60011, "aux.loss_seg": 0.21365, "aux.acc_seg": 65.04907, "loss": 0.50276, "time": 0.39303} -{"mode": "train", "epoch": 77, "iter": 97150, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.27689, "decode.acc_seg": 71.99023, "aux.loss_seg": 0.21483, "aux.acc_seg": 64.7836, "loss": 0.49172, "time": 0.40133} -{"mode": "train", "epoch": 77, "iter": 97200, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2893, "decode.acc_seg": 70.2013, "aux.loss_seg": 0.21669, "aux.acc_seg": 63.0994, "loss": 0.50599, "time": 0.40202} -{"mode": "train", "epoch": 77, "iter": 97250, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.28013, "decode.acc_seg": 73.12418, "aux.loss_seg": 0.21249, "aux.acc_seg": 66.52799, "loss": 0.49262, "time": 0.40068} -{"mode": "train", "epoch": 78, "iter": 97300, "lr": 2e-05, "memory": 17837, "data_time": 0.23915, "decode.loss_seg": 0.28227, "decode.acc_seg": 70.65245, "aux.loss_seg": 0.22036, "aux.acc_seg": 63.43289, "loss": 0.50264, "time": 0.6358} -{"mode": "train", "epoch": 78, "iter": 97350, "lr": 2e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.2774, "decode.acc_seg": 72.23625, "aux.loss_seg": 0.20997, "aux.acc_seg": 65.6143, "loss": 0.48737, "time": 0.39039} -{"mode": "train", "epoch": 78, "iter": 97400, "lr": 2e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.27999, "decode.acc_seg": 72.0624, "aux.loss_seg": 0.21266, "aux.acc_seg": 65.44188, "loss": 0.49266, "time": 0.41147} -{"mode": "train", "epoch": 78, "iter": 97450, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.28295, "decode.acc_seg": 71.74914, "aux.loss_seg": 0.22082, "aux.acc_seg": 64.4184, "loss": 0.50377, "time": 0.3937} -{"mode": "train", "epoch": 78, "iter": 97500, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2877, "decode.acc_seg": 73.32672, "aux.loss_seg": 0.21211, "aux.acc_seg": 66.86172, "loss": 0.49981, "time": 0.39247} -{"mode": "train", "epoch": 78, "iter": 97550, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.28646, "decode.acc_seg": 72.10645, "aux.loss_seg": 0.21506, "aux.acc_seg": 65.3188, "loss": 0.50152, "time": 0.39388} -{"mode": "train", "epoch": 78, "iter": 97600, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.28521, "decode.acc_seg": 71.77907, "aux.loss_seg": 0.22131, "aux.acc_seg": 64.57261, "loss": 0.50652, "time": 0.41099} -{"mode": "train", "epoch": 78, "iter": 97650, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.26829, "decode.acc_seg": 72.49569, "aux.loss_seg": 0.20163, "aux.acc_seg": 66.26046, "loss": 0.46992, "time": 0.40487} -{"mode": "train", "epoch": 78, "iter": 97700, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.29109, "decode.acc_seg": 71.86727, "aux.loss_seg": 0.22502, "aux.acc_seg": 64.7565, "loss": 0.51611, "time": 0.40108} -{"mode": "train", "epoch": 78, "iter": 97750, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27982, "decode.acc_seg": 72.22771, "aux.loss_seg": 0.21251, "aux.acc_seg": 65.5335, "loss": 0.49233, "time": 0.40458} -{"mode": "train", "epoch": 78, "iter": 97800, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.27334, "decode.acc_seg": 72.07391, "aux.loss_seg": 0.20658, "aux.acc_seg": 65.62658, "loss": 0.47992, "time": 0.41137} -{"mode": "train", "epoch": 78, "iter": 97850, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26918, "decode.acc_seg": 71.10223, "aux.loss_seg": 0.20326, "aux.acc_seg": 64.96813, "loss": 0.47244, "time": 0.39719} -{"mode": "train", "epoch": 78, "iter": 97900, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.28642, "decode.acc_seg": 72.09471, "aux.loss_seg": 0.21768, "aux.acc_seg": 65.22405, "loss": 0.5041, "time": 0.41107} -{"mode": "train", "epoch": 78, "iter": 97950, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.29049, "decode.acc_seg": 72.02067, "aux.loss_seg": 0.22033, "aux.acc_seg": 65.16383, "loss": 0.51081, "time": 0.39736} -{"mode": "train", "epoch": 78, "iter": 98000, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.2933, "decode.acc_seg": 71.63668, "aux.loss_seg": 0.21436, "aux.acc_seg": 65.12786, "loss": 0.50766, "time": 0.39696} -{"mode": "train", "epoch": 78, "iter": 98050, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.26917, "decode.acc_seg": 70.95953, "aux.loss_seg": 0.20147, "aux.acc_seg": 64.56639, "loss": 0.47064, "time": 0.39809} -{"mode": "train", "epoch": 78, "iter": 98100, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.29138, "decode.acc_seg": 71.43936, "aux.loss_seg": 0.21507, "aux.acc_seg": 64.83376, "loss": 0.50644, "time": 0.40086} -{"mode": "train", "epoch": 78, "iter": 98150, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.289, "decode.acc_seg": 72.72489, "aux.loss_seg": 0.21877, "aux.acc_seg": 66.14826, "loss": 0.50777, "time": 0.39367} -{"mode": "train", "epoch": 78, "iter": 98200, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.28909, "decode.acc_seg": 72.76783, "aux.loss_seg": 0.22066, "aux.acc_seg": 65.80255, "loss": 0.50975, "time": 0.39288} -{"mode": "train", "epoch": 78, "iter": 98250, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27082, "decode.acc_seg": 72.70145, "aux.loss_seg": 0.21772, "aux.acc_seg": 65.65236, "loss": 0.48854, "time": 0.39362} -{"mode": "train", "epoch": 78, "iter": 98300, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.28709, "decode.acc_seg": 70.75392, "aux.loss_seg": 0.21658, "aux.acc_seg": 63.73481, "loss": 0.50367, "time": 0.40105} -{"mode": "train", "epoch": 78, "iter": 98350, "lr": 2e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.27384, "decode.acc_seg": 70.65705, "aux.loss_seg": 0.20693, "aux.acc_seg": 64.25535, "loss": 0.48077, "time": 0.41337} -{"mode": "train", "epoch": 78, "iter": 98400, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.28883, "decode.acc_seg": 70.41864, "aux.loss_seg": 0.21279, "aux.acc_seg": 64.40296, "loss": 0.50162, "time": 0.39649} -{"mode": "train", "epoch": 78, "iter": 98450, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.27305, "decode.acc_seg": 72.54642, "aux.loss_seg": 0.20225, "aux.acc_seg": 66.33331, "loss": 0.4753, "time": 0.40923} -{"mode": "train", "epoch": 78, "iter": 98500, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.27581, "decode.acc_seg": 70.59883, "aux.loss_seg": 0.20477, "aux.acc_seg": 64.32755, "loss": 0.48058, "time": 0.41718} -{"mode": "train", "epoch": 79, "iter": 98550, "lr": 2e-05, "memory": 17837, "data_time": 0.24112, "decode.loss_seg": 0.30532, "decode.acc_seg": 70.62281, "aux.loss_seg": 0.22649, "aux.acc_seg": 63.54081, "loss": 0.53181, "time": 0.63377} -{"mode": "train", "epoch": 79, "iter": 98600, "lr": 2e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.26055, "decode.acc_seg": 72.64086, "aux.loss_seg": 0.19765, "aux.acc_seg": 66.42366, "loss": 0.45821, "time": 0.40706} -{"mode": "train", "epoch": 79, "iter": 98650, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.28447, "decode.acc_seg": 73.13153, "aux.loss_seg": 0.21852, "aux.acc_seg": 66.27779, "loss": 0.50299, "time": 0.40527} -{"mode": "train", "epoch": 79, "iter": 98700, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27778, "decode.acc_seg": 71.69843, "aux.loss_seg": 0.21047, "aux.acc_seg": 64.86314, "loss": 0.48826, "time": 0.39496} -{"mode": "train", "epoch": 79, "iter": 98750, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.26758, "decode.acc_seg": 71.75047, "aux.loss_seg": 0.20209, "aux.acc_seg": 65.37674, "loss": 0.46967, "time": 0.39622} -{"mode": "train", "epoch": 79, "iter": 98800, "lr": 2e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.27675, "decode.acc_seg": 71.50007, "aux.loss_seg": 0.20327, "aux.acc_seg": 65.26369, "loss": 0.48002, "time": 0.39655} -{"mode": "train", "epoch": 79, "iter": 98850, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.27486, "decode.acc_seg": 71.18005, "aux.loss_seg": 0.20627, "aux.acc_seg": 64.901, "loss": 0.48113, "time": 0.40007} -{"mode": "train", "epoch": 79, "iter": 98900, "lr": 2e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.27767, "decode.acc_seg": 71.47182, "aux.loss_seg": 0.20927, "aux.acc_seg": 65.00245, "loss": 0.48694, "time": 0.41392} -{"mode": "train", "epoch": 79, "iter": 98950, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.26751, "decode.acc_seg": 73.19071, "aux.loss_seg": 0.20678, "aux.acc_seg": 66.24887, "loss": 0.47429, "time": 0.39621} -{"mode": "train", "epoch": 79, "iter": 99000, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.27717, "decode.acc_seg": 71.61195, "aux.loss_seg": 0.20571, "aux.acc_seg": 65.50618, "loss": 0.48288, "time": 0.40276} -{"mode": "train", "epoch": 79, "iter": 99050, "lr": 2e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.30292, "decode.acc_seg": 71.04065, "aux.loss_seg": 0.22721, "aux.acc_seg": 64.10016, "loss": 0.53013, "time": 0.40771} -{"mode": "train", "epoch": 79, "iter": 99100, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.27666, "decode.acc_seg": 72.96676, "aux.loss_seg": 0.21294, "aux.acc_seg": 65.96049, "loss": 0.4896, "time": 0.40301} -{"mode": "train", "epoch": 79, "iter": 99150, "lr": 2e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.27683, "decode.acc_seg": 72.23847, "aux.loss_seg": 0.21181, "aux.acc_seg": 65.71946, "loss": 0.48863, "time": 0.40144} -{"mode": "train", "epoch": 79, "iter": 99200, "lr": 2e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.28786, "decode.acc_seg": 70.80364, "aux.loss_seg": 0.2158, "aux.acc_seg": 64.31965, "loss": 0.50367, "time": 0.40052} -{"mode": "train", "epoch": 79, "iter": 99250, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.28451, "decode.acc_seg": 70.74566, "aux.loss_seg": 0.22205, "aux.acc_seg": 63.56081, "loss": 0.50656, "time": 0.40291} -{"mode": "train", "epoch": 79, "iter": 99300, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.26084, "decode.acc_seg": 72.47787, "aux.loss_seg": 0.1992, "aux.acc_seg": 66.07277, "loss": 0.46004, "time": 0.40832} -{"mode": "train", "epoch": 79, "iter": 99350, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.28288, "decode.acc_seg": 72.06775, "aux.loss_seg": 0.21733, "aux.acc_seg": 65.15167, "loss": 0.50021, "time": 0.41176} -{"mode": "train", "epoch": 79, "iter": 99400, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27603, "decode.acc_seg": 71.96542, "aux.loss_seg": 0.21645, "aux.acc_seg": 65.13229, "loss": 0.49247, "time": 0.40207} -{"mode": "train", "epoch": 79, "iter": 99450, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.27813, "decode.acc_seg": 71.95339, "aux.loss_seg": 0.20598, "aux.acc_seg": 65.75577, "loss": 0.48411, "time": 0.41557} -{"mode": "train", "epoch": 79, "iter": 99500, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.27665, "decode.acc_seg": 70.54355, "aux.loss_seg": 0.20216, "aux.acc_seg": 64.64025, "loss": 0.47881, "time": 0.41022} -{"mode": "train", "epoch": 79, "iter": 99550, "lr": 2e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.29395, "decode.acc_seg": 71.04278, "aux.loss_seg": 0.21044, "aux.acc_seg": 64.96874, "loss": 0.5044, "time": 0.41167} -{"mode": "train", "epoch": 79, "iter": 99600, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.31072, "decode.acc_seg": 71.34592, "aux.loss_seg": 0.22396, "aux.acc_seg": 64.62231, "loss": 0.53468, "time": 0.39867} -{"mode": "train", "epoch": 79, "iter": 99650, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27372, "decode.acc_seg": 71.48131, "aux.loss_seg": 0.21515, "aux.acc_seg": 64.60332, "loss": 0.48887, "time": 0.40832} -{"mode": "train", "epoch": 79, "iter": 99700, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.2641, "decode.acc_seg": 71.43955, "aux.loss_seg": 0.21076, "aux.acc_seg": 64.52918, "loss": 0.47486, "time": 0.40068} -{"mode": "train", "epoch": 79, "iter": 99750, "lr": 2e-05, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.28221, "decode.acc_seg": 73.16589, "aux.loss_seg": 0.21033, "aux.acc_seg": 66.64717, "loss": 0.49253, "time": 0.40329} -{"mode": "train", "epoch": 80, "iter": 99800, "lr": 2e-05, "memory": 17837, "data_time": 0.24852, "decode.loss_seg": 0.28169, "decode.acc_seg": 72.26817, "aux.loss_seg": 0.21152, "aux.acc_seg": 65.67972, "loss": 0.49322, "time": 0.64063} -{"mode": "train", "epoch": 80, "iter": 99850, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.285, "decode.acc_seg": 72.72008, "aux.loss_seg": 0.2161, "aux.acc_seg": 65.85786, "loss": 0.5011, "time": 0.39801} -{"mode": "train", "epoch": 80, "iter": 99900, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.2742, "decode.acc_seg": 71.77936, "aux.loss_seg": 0.21089, "aux.acc_seg": 65.11206, "loss": 0.48509, "time": 0.39534} -{"mode": "train", "epoch": 80, "iter": 99950, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.28069, "decode.acc_seg": 71.241, "aux.loss_seg": 0.21161, "aux.acc_seg": 64.8432, "loss": 0.49231, "time": 0.39988} -{"mode": "train", "epoch": 80, "iter": 100000, "lr": 2e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.2908, "decode.acc_seg": 72.18183, "aux.loss_seg": 0.21683, "aux.acc_seg": 65.625, "loss": 0.50763, "time": 0.39816} -{"mode": "train", "epoch": 80, "iter": 100050, "lr": 2e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.26884, "decode.acc_seg": 72.41478, "aux.loss_seg": 0.20826, "aux.acc_seg": 65.59885, "loss": 0.4771, "time": 0.39932} -{"mode": "train", "epoch": 80, "iter": 100100, "lr": 2e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.27164, "decode.acc_seg": 70.19918, "aux.loss_seg": 0.20158, "aux.acc_seg": 64.10389, "loss": 0.47322, "time": 0.40512} -{"mode": "train", "epoch": 80, "iter": 100150, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.28358, "decode.acc_seg": 70.86219, "aux.loss_seg": 0.21262, "aux.acc_seg": 64.3464, "loss": 0.4962, "time": 0.40262} -{"mode": "train", "epoch": 80, "iter": 100200, "lr": 2e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.28049, "decode.acc_seg": 72.11401, "aux.loss_seg": 0.20938, "aux.acc_seg": 65.75461, "loss": 0.48987, "time": 0.39884} -{"mode": "train", "epoch": 80, "iter": 100250, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.28133, "decode.acc_seg": 71.53164, "aux.loss_seg": 0.21445, "aux.acc_seg": 64.77113, "loss": 0.49578, "time": 0.39707} -{"mode": "train", "epoch": 80, "iter": 100300, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.28113, "decode.acc_seg": 70.84058, "aux.loss_seg": 0.22059, "aux.acc_seg": 64.06685, "loss": 0.50172, "time": 0.39608} -{"mode": "train", "epoch": 80, "iter": 100350, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27627, "decode.acc_seg": 71.38775, "aux.loss_seg": 0.21791, "aux.acc_seg": 64.4624, "loss": 0.49418, "time": 0.40216} -{"mode": "train", "epoch": 80, "iter": 100400, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27807, "decode.acc_seg": 70.91886, "aux.loss_seg": 0.20837, "aux.acc_seg": 64.603, "loss": 0.48644, "time": 0.4074} -{"mode": "train", "epoch": 80, "iter": 100450, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.27225, "decode.acc_seg": 72.54867, "aux.loss_seg": 0.20555, "aux.acc_seg": 66.12544, "loss": 0.4778, "time": 0.4029} -{"mode": "train", "epoch": 80, "iter": 100500, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.27619, "decode.acc_seg": 72.8853, "aux.loss_seg": 0.20553, "aux.acc_seg": 66.43104, "loss": 0.48172, "time": 0.40227} -{"mode": "train", "epoch": 80, "iter": 100550, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28501, "decode.acc_seg": 72.1423, "aux.loss_seg": 0.2221, "aux.acc_seg": 64.99478, "loss": 0.50712, "time": 0.3971} -{"mode": "train", "epoch": 80, "iter": 100600, "lr": 2e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.28051, "decode.acc_seg": 71.46901, "aux.loss_seg": 0.21399, "aux.acc_seg": 64.82055, "loss": 0.4945, "time": 0.40103} -{"mode": "train", "epoch": 80, "iter": 100650, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25753, "decode.acc_seg": 71.70197, "aux.loss_seg": 0.19626, "aux.acc_seg": 65.53776, "loss": 0.45379, "time": 0.39727} -{"mode": "train", "epoch": 80, "iter": 100700, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26801, "decode.acc_seg": 70.73215, "aux.loss_seg": 0.21379, "aux.acc_seg": 63.6118, "loss": 0.48179, "time": 0.40357} -{"mode": "train", "epoch": 80, "iter": 100750, "lr": 2e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.2793, "decode.acc_seg": 70.23575, "aux.loss_seg": 0.20009, "aux.acc_seg": 64.32122, "loss": 0.47938, "time": 0.40093} -{"mode": "train", "epoch": 80, "iter": 100800, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.26834, "decode.acc_seg": 72.62097, "aux.loss_seg": 0.21497, "aux.acc_seg": 65.56668, "loss": 0.48331, "time": 0.4022} -{"mode": "train", "epoch": 80, "iter": 100850, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.28234, "decode.acc_seg": 71.6027, "aux.loss_seg": 0.20921, "aux.acc_seg": 65.03262, "loss": 0.49155, "time": 0.39912} -{"mode": "train", "epoch": 80, "iter": 100900, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.27054, "decode.acc_seg": 71.93994, "aux.loss_seg": 0.20306, "aux.acc_seg": 65.4672, "loss": 0.4736, "time": 0.39511} -{"mode": "train", "epoch": 80, "iter": 100950, "lr": 2e-05, "memory": 17837, "data_time": 0.00694, "decode.loss_seg": 0.28637, "decode.acc_seg": 72.69044, "aux.loss_seg": 0.21876, "aux.acc_seg": 65.66389, "loss": 0.50513, "time": 0.41307} -{"mode": "train", "epoch": 80, "iter": 101000, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.27546, "decode.acc_seg": 71.91206, "aux.loss_seg": 0.21622, "aux.acc_seg": 64.88914, "loss": 0.49168, "time": 0.40115} -{"mode": "train", "epoch": 81, "iter": 101050, "lr": 2e-05, "memory": 17837, "data_time": 0.24381, "decode.loss_seg": 0.28145, "decode.acc_seg": 72.70695, "aux.loss_seg": 0.2097, "aux.acc_seg": 66.55033, "loss": 0.49115, "time": 0.63654} -{"mode": "train", "epoch": 81, "iter": 101100, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.26997, "decode.acc_seg": 71.67387, "aux.loss_seg": 0.21161, "aux.acc_seg": 64.92529, "loss": 0.48158, "time": 0.40011} -{"mode": "train", "epoch": 81, "iter": 101150, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.27848, "decode.acc_seg": 69.73493, "aux.loss_seg": 0.21758, "aux.acc_seg": 63.01867, "loss": 0.49606, "time": 0.39952} -{"mode": "train", "epoch": 81, "iter": 101200, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.29132, "decode.acc_seg": 71.85974, "aux.loss_seg": 0.2127, "aux.acc_seg": 65.70404, "loss": 0.50402, "time": 0.40515} -{"mode": "train", "epoch": 81, "iter": 101250, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.26638, "decode.acc_seg": 73.08574, "aux.loss_seg": 0.20328, "aux.acc_seg": 66.55767, "loss": 0.46967, "time": 0.402} -{"mode": "train", "epoch": 81, "iter": 101300, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.27174, "decode.acc_seg": 71.58755, "aux.loss_seg": 0.21434, "aux.acc_seg": 64.43183, "loss": 0.48608, "time": 0.41246} -{"mode": "train", "epoch": 81, "iter": 101350, "lr": 2e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.27443, "decode.acc_seg": 71.55058, "aux.loss_seg": 0.20917, "aux.acc_seg": 64.95963, "loss": 0.48359, "time": 0.4042} -{"mode": "train", "epoch": 81, "iter": 101400, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.28519, "decode.acc_seg": 71.03988, "aux.loss_seg": 0.21762, "aux.acc_seg": 64.23177, "loss": 0.50281, "time": 0.40298} -{"mode": "train", "epoch": 81, "iter": 101450, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.28017, "decode.acc_seg": 71.88243, "aux.loss_seg": 0.20427, "aux.acc_seg": 66.12931, "loss": 0.48443, "time": 0.40313} -{"mode": "train", "epoch": 81, "iter": 101500, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25612, "decode.acc_seg": 73.35884, "aux.loss_seg": 0.20264, "aux.acc_seg": 66.72915, "loss": 0.45876, "time": 0.39576} -{"mode": "train", "epoch": 81, "iter": 101550, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.2884, "decode.acc_seg": 71.96995, "aux.loss_seg": 0.21742, "aux.acc_seg": 65.099, "loss": 0.50582, "time": 0.39717} -{"mode": "train", "epoch": 81, "iter": 101600, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.27845, "decode.acc_seg": 73.41434, "aux.loss_seg": 0.22116, "aux.acc_seg": 66.06513, "loss": 0.49961, "time": 0.39904} -{"mode": "train", "epoch": 81, "iter": 101650, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.28561, "decode.acc_seg": 71.16067, "aux.loss_seg": 0.21692, "aux.acc_seg": 64.20606, "loss": 0.50253, "time": 0.40141} -{"mode": "train", "epoch": 81, "iter": 101700, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.29875, "decode.acc_seg": 70.81425, "aux.loss_seg": 0.21802, "aux.acc_seg": 64.5129, "loss": 0.51677, "time": 0.40039} -{"mode": "train", "epoch": 81, "iter": 101750, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27023, "decode.acc_seg": 72.03991, "aux.loss_seg": 0.20625, "aux.acc_seg": 65.39391, "loss": 0.47648, "time": 0.40214} -{"mode": "train", "epoch": 81, "iter": 101800, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2583, "decode.acc_seg": 71.34972, "aux.loss_seg": 0.19926, "aux.acc_seg": 64.97129, "loss": 0.45757, "time": 0.40208} -{"mode": "train", "epoch": 81, "iter": 101850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27229, "decode.acc_seg": 72.40918, "aux.loss_seg": 0.20388, "aux.acc_seg": 66.06856, "loss": 0.47618, "time": 0.40049} -{"mode": "train", "epoch": 81, "iter": 101900, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.28508, "decode.acc_seg": 71.63991, "aux.loss_seg": 0.21388, "aux.acc_seg": 65.06468, "loss": 0.49896, "time": 0.40049} -{"mode": "train", "epoch": 81, "iter": 101950, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.29738, "decode.acc_seg": 70.78974, "aux.loss_seg": 0.21946, "aux.acc_seg": 64.26959, "loss": 0.51684, "time": 0.40516} -{"mode": "train", "epoch": 81, "iter": 102000, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28785, "decode.acc_seg": 71.44775, "aux.loss_seg": 0.21133, "aux.acc_seg": 65.0496, "loss": 0.49918, "time": 0.39778} -{"mode": "train", "epoch": 81, "iter": 102050, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.27435, "decode.acc_seg": 71.75296, "aux.loss_seg": 0.20958, "aux.acc_seg": 64.79807, "loss": 0.48393, "time": 0.40372} -{"mode": "train", "epoch": 81, "iter": 102100, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.27995, "decode.acc_seg": 71.00338, "aux.loss_seg": 0.21049, "aux.acc_seg": 64.33758, "loss": 0.49044, "time": 0.39633} -{"mode": "train", "epoch": 81, "iter": 102150, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.28308, "decode.acc_seg": 71.96144, "aux.loss_seg": 0.22015, "aux.acc_seg": 65.00014, "loss": 0.50322, "time": 0.40434} -{"mode": "train", "epoch": 81, "iter": 102200, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.28457, "decode.acc_seg": 71.55551, "aux.loss_seg": 0.21841, "aux.acc_seg": 64.63094, "loss": 0.50298, "time": 0.40959} -{"mode": "train", "epoch": 81, "iter": 102250, "lr": 2e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.27339, "decode.acc_seg": 70.91819, "aux.loss_seg": 0.20486, "aux.acc_seg": 64.93567, "loss": 0.47825, "time": 0.41886} -{"mode": "train", "epoch": 81, "iter": 102300, "lr": 2e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.27992, "decode.acc_seg": 72.19722, "aux.loss_seg": 0.21552, "aux.acc_seg": 65.09362, "loss": 0.49544, "time": 0.39629} -{"mode": "train", "epoch": 82, "iter": 102350, "lr": 2e-05, "memory": 17837, "data_time": 0.24741, "decode.loss_seg": 0.27129, "decode.acc_seg": 72.58082, "aux.loss_seg": 0.20187, "aux.acc_seg": 66.49854, "loss": 0.47316, "time": 0.64091} -{"mode": "train", "epoch": 82, "iter": 102400, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.28384, "decode.acc_seg": 70.79717, "aux.loss_seg": 0.21443, "aux.acc_seg": 64.25655, "loss": 0.49827, "time": 0.39956} -{"mode": "train", "epoch": 82, "iter": 102450, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.27404, "decode.acc_seg": 72.89164, "aux.loss_seg": 0.21071, "aux.acc_seg": 66.13574, "loss": 0.48474, "time": 0.40284} -{"mode": "train", "epoch": 82, "iter": 102500, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27774, "decode.acc_seg": 72.54209, "aux.loss_seg": 0.21389, "aux.acc_seg": 65.4142, "loss": 0.49163, "time": 0.39425} -{"mode": "train", "epoch": 82, "iter": 102550, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.28399, "decode.acc_seg": 71.98852, "aux.loss_seg": 0.22362, "aux.acc_seg": 64.56121, "loss": 0.5076, "time": 0.40299} -{"mode": "train", "epoch": 82, "iter": 102600, "lr": 2e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.26885, "decode.acc_seg": 73.01916, "aux.loss_seg": 0.2056, "aux.acc_seg": 66.34407, "loss": 0.47444, "time": 0.39462} -{"mode": "train", "epoch": 82, "iter": 102650, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.2575, "decode.acc_seg": 73.10834, "aux.loss_seg": 0.19997, "aux.acc_seg": 66.33165, "loss": 0.45747, "time": 0.39601} -{"mode": "train", "epoch": 82, "iter": 102700, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.2652, "decode.acc_seg": 70.46786, "aux.loss_seg": 0.2003, "aux.acc_seg": 64.26152, "loss": 0.4655, "time": 0.40319} -{"mode": "train", "epoch": 82, "iter": 102750, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.27097, "decode.acc_seg": 71.03705, "aux.loss_seg": 0.20587, "aux.acc_seg": 64.59495, "loss": 0.47683, "time": 0.41422} -{"mode": "train", "epoch": 82, "iter": 102800, "lr": 2e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.27479, "decode.acc_seg": 70.99505, "aux.loss_seg": 0.21121, "aux.acc_seg": 64.637, "loss": 0.48601, "time": 0.41317} -{"mode": "train", "epoch": 82, "iter": 102850, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.27531, "decode.acc_seg": 72.48753, "aux.loss_seg": 0.21536, "aux.acc_seg": 65.53097, "loss": 0.49067, "time": 0.39783} -{"mode": "train", "epoch": 82, "iter": 102900, "lr": 2e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.2728, "decode.acc_seg": 72.33779, "aux.loss_seg": 0.21503, "aux.acc_seg": 65.41676, "loss": 0.48784, "time": 0.40023} -{"mode": "train", "epoch": 82, "iter": 102950, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.27489, "decode.acc_seg": 72.31253, "aux.loss_seg": 0.21205, "aux.acc_seg": 65.50518, "loss": 0.48694, "time": 0.40536} -{"mode": "train", "epoch": 82, "iter": 103000, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.27174, "decode.acc_seg": 69.47687, "aux.loss_seg": 0.20514, "aux.acc_seg": 62.99369, "loss": 0.47688, "time": 0.4094} -{"mode": "train", "epoch": 82, "iter": 103050, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28502, "decode.acc_seg": 71.43561, "aux.loss_seg": 0.2139, "aux.acc_seg": 64.84105, "loss": 0.49891, "time": 0.40317} -{"mode": "train", "epoch": 82, "iter": 103100, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.28811, "decode.acc_seg": 72.02362, "aux.loss_seg": 0.21943, "aux.acc_seg": 65.0005, "loss": 0.50754, "time": 0.39729} -{"mode": "train", "epoch": 82, "iter": 103150, "lr": 2e-05, "memory": 17837, "data_time": 0.00657, "decode.loss_seg": 0.29098, "decode.acc_seg": 71.5186, "aux.loss_seg": 0.21831, "aux.acc_seg": 64.79843, "loss": 0.50929, "time": 0.40298} -{"mode": "train", "epoch": 82, "iter": 103200, "lr": 2e-05, "memory": 17837, "data_time": 0.00682, "decode.loss_seg": 0.28565, "decode.acc_seg": 71.43753, "aux.loss_seg": 0.2118, "aux.acc_seg": 65.0166, "loss": 0.49745, "time": 0.40162} -{"mode": "train", "epoch": 82, "iter": 103250, "lr": 2e-05, "memory": 17837, "data_time": 0.00662, "decode.loss_seg": 0.27619, "decode.acc_seg": 69.88153, "aux.loss_seg": 0.21307, "aux.acc_seg": 63.31133, "loss": 0.48925, "time": 0.40896} -{"mode": "train", "epoch": 82, "iter": 103300, "lr": 2e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.29326, "decode.acc_seg": 71.57648, "aux.loss_seg": 0.21579, "aux.acc_seg": 65.26354, "loss": 0.50904, "time": 0.39744} -{"mode": "train", "epoch": 82, "iter": 103350, "lr": 2e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.28333, "decode.acc_seg": 72.95178, "aux.loss_seg": 0.21405, "aux.acc_seg": 66.46223, "loss": 0.49738, "time": 0.40305} -{"mode": "train", "epoch": 82, "iter": 103400, "lr": 2e-05, "memory": 17837, "data_time": 0.00776, "decode.loss_seg": 0.28236, "decode.acc_seg": 71.76608, "aux.loss_seg": 0.20248, "aux.acc_seg": 65.89972, "loss": 0.48483, "time": 0.40531} -{"mode": "train", "epoch": 82, "iter": 103450, "lr": 2e-05, "memory": 17837, "data_time": 0.00741, "decode.loss_seg": 0.28031, "decode.acc_seg": 70.81606, "aux.loss_seg": 0.20231, "aux.acc_seg": 64.72584, "loss": 0.48262, "time": 0.4094} -{"mode": "train", "epoch": 82, "iter": 103500, "lr": 2e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.29387, "decode.acc_seg": 71.46796, "aux.loss_seg": 0.22279, "aux.acc_seg": 65.02289, "loss": 0.51666, "time": 0.40911} -{"mode": "train", "epoch": 82, "iter": 103550, "lr": 2e-05, "memory": 17837, "data_time": 0.00684, "decode.loss_seg": 0.28651, "decode.acc_seg": 72.62594, "aux.loss_seg": 0.21133, "aux.acc_seg": 66.28615, "loss": 0.49784, "time": 0.41818} -{"mode": "train", "epoch": 83, "iter": 103600, "lr": 2e-05, "memory": 17837, "data_time": 0.24426, "decode.loss_seg": 0.28197, "decode.acc_seg": 71.66292, "aux.loss_seg": 0.2098, "aux.acc_seg": 65.07282, "loss": 0.49178, "time": 0.63816} -{"mode": "train", "epoch": 83, "iter": 103650, "lr": 2e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.26066, "decode.acc_seg": 71.9968, "aux.loss_seg": 0.20339, "aux.acc_seg": 65.27493, "loss": 0.46405, "time": 0.41063} -{"mode": "train", "epoch": 83, "iter": 103700, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27232, "decode.acc_seg": 71.98231, "aux.loss_seg": 0.209, "aux.acc_seg": 65.26891, "loss": 0.48131, "time": 0.40245} -{"mode": "train", "epoch": 83, "iter": 103750, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.26899, "decode.acc_seg": 71.77554, "aux.loss_seg": 0.20381, "aux.acc_seg": 65.47993, "loss": 0.4728, "time": 0.39872} -{"mode": "train", "epoch": 83, "iter": 103800, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.27753, "decode.acc_seg": 72.01538, "aux.loss_seg": 0.20785, "aux.acc_seg": 65.69853, "loss": 0.48539, "time": 0.40524} -{"mode": "train", "epoch": 83, "iter": 103850, "lr": 2e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.27066, "decode.acc_seg": 72.22186, "aux.loss_seg": 0.2034, "aux.acc_seg": 65.94371, "loss": 0.47406, "time": 0.41071} -{"mode": "train", "epoch": 83, "iter": 103900, "lr": 2e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.27303, "decode.acc_seg": 72.81951, "aux.loss_seg": 0.21108, "aux.acc_seg": 65.80063, "loss": 0.48411, "time": 0.39956} -{"mode": "train", "epoch": 83, "iter": 103950, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.27659, "decode.acc_seg": 73.32774, "aux.loss_seg": 0.2013, "aux.acc_seg": 67.12061, "loss": 0.47788, "time": 0.39527} -{"mode": "train", "epoch": 83, "iter": 104000, "lr": 2e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.2731, "decode.acc_seg": 71.49352, "aux.loss_seg": 0.21289, "aux.acc_seg": 64.63444, "loss": 0.48599, "time": 0.40443} -{"mode": "train", "epoch": 83, "iter": 104050, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25894, "decode.acc_seg": 72.13911, "aux.loss_seg": 0.19876, "aux.acc_seg": 65.84603, "loss": 0.4577, "time": 0.40556} -{"mode": "train", "epoch": 83, "iter": 104100, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.28157, "decode.acc_seg": 71.03136, "aux.loss_seg": 0.21481, "aux.acc_seg": 64.60786, "loss": 0.49639, "time": 0.40953} -{"mode": "train", "epoch": 83, "iter": 104150, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.27221, "decode.acc_seg": 72.44108, "aux.loss_seg": 0.20861, "aux.acc_seg": 65.9553, "loss": 0.48082, "time": 0.39692} -{"mode": "train", "epoch": 83, "iter": 104200, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.26888, "decode.acc_seg": 70.88358, "aux.loss_seg": 0.21273, "aux.acc_seg": 64.03138, "loss": 0.48161, "time": 0.39934} -{"mode": "train", "epoch": 83, "iter": 104250, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26293, "decode.acc_seg": 71.23219, "aux.loss_seg": 0.20068, "aux.acc_seg": 64.89213, "loss": 0.4636, "time": 0.40598} -{"mode": "train", "epoch": 83, "iter": 104300, "lr": 2e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.27617, "decode.acc_seg": 72.45478, "aux.loss_seg": 0.21014, "aux.acc_seg": 65.90162, "loss": 0.48631, "time": 0.40189} -{"mode": "train", "epoch": 83, "iter": 104350, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.28452, "decode.acc_seg": 72.2294, "aux.loss_seg": 0.21543, "aux.acc_seg": 65.39209, "loss": 0.49995, "time": 0.39485} -{"mode": "train", "epoch": 83, "iter": 104400, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.28004, "decode.acc_seg": 72.54019, "aux.loss_seg": 0.2192, "aux.acc_seg": 65.17772, "loss": 0.49924, "time": 0.3935} -{"mode": "train", "epoch": 83, "iter": 104450, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.28748, "decode.acc_seg": 70.43775, "aux.loss_seg": 0.21065, "aux.acc_seg": 64.35195, "loss": 0.49813, "time": 0.40297} -{"mode": "train", "epoch": 83, "iter": 104500, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.28221, "decode.acc_seg": 70.62996, "aux.loss_seg": 0.21962, "aux.acc_seg": 63.64193, "loss": 0.50183, "time": 0.41122} -{"mode": "train", "epoch": 83, "iter": 104550, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.27463, "decode.acc_seg": 71.52619, "aux.loss_seg": 0.20852, "aux.acc_seg": 64.79988, "loss": 0.48314, "time": 0.40028} -{"mode": "train", "epoch": 83, "iter": 104600, "lr": 2e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.27182, "decode.acc_seg": 71.13194, "aux.loss_seg": 0.20071, "aux.acc_seg": 65.29675, "loss": 0.47253, "time": 0.39792} -{"mode": "train", "epoch": 83, "iter": 104650, "lr": 2e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.26935, "decode.acc_seg": 71.08514, "aux.loss_seg": 0.20826, "aux.acc_seg": 64.65729, "loss": 0.47761, "time": 0.39633} -{"mode": "train", "epoch": 83, "iter": 104700, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.26992, "decode.acc_seg": 71.79271, "aux.loss_seg": 0.2019, "aux.acc_seg": 65.75756, "loss": 0.47182, "time": 0.39579} -{"mode": "train", "epoch": 83, "iter": 104750, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.26241, "decode.acc_seg": 70.67034, "aux.loss_seg": 0.20307, "aux.acc_seg": 64.45193, "loss": 0.46549, "time": 0.409} -{"mode": "train", "epoch": 83, "iter": 104800, "lr": 2e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.28745, "decode.acc_seg": 71.74358, "aux.loss_seg": 0.2196, "aux.acc_seg": 64.70934, "loss": 0.50705, "time": 0.40141} -{"mode": "train", "epoch": 84, "iter": 104850, "lr": 2e-05, "memory": 17837, "data_time": 0.24352, "decode.loss_seg": 0.28759, "decode.acc_seg": 71.59942, "aux.loss_seg": 0.21685, "aux.acc_seg": 64.85817, "loss": 0.50444, "time": 0.6299} -{"mode": "train", "epoch": 84, "iter": 104900, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.2853, "decode.acc_seg": 72.15532, "aux.loss_seg": 0.21676, "aux.acc_seg": 65.48018, "loss": 0.50207, "time": 0.39544} -{"mode": "train", "epoch": 84, "iter": 104950, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.27167, "decode.acc_seg": 72.10048, "aux.loss_seg": 0.20875, "aux.acc_seg": 65.38675, "loss": 0.48042, "time": 0.39833} -{"mode": "train", "epoch": 84, "iter": 105000, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.26288, "decode.acc_seg": 72.92317, "aux.loss_seg": 0.19881, "aux.acc_seg": 66.79606, "loss": 0.46169, "time": 0.39602} -{"mode": "train", "epoch": 84, "iter": 105050, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27069, "decode.acc_seg": 72.93841, "aux.loss_seg": 0.21118, "aux.acc_seg": 66.06704, "loss": 0.48187, "time": 0.39888} -{"mode": "train", "epoch": 84, "iter": 105100, "lr": 2e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.26707, "decode.acc_seg": 70.57705, "aux.loss_seg": 0.20489, "aux.acc_seg": 64.18101, "loss": 0.47196, "time": 0.39537} -{"mode": "train", "epoch": 84, "iter": 105150, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.25665, "decode.acc_seg": 73.14003, "aux.loss_seg": 0.21229, "aux.acc_seg": 65.39089, "loss": 0.46894, "time": 0.39743} -{"mode": "train", "epoch": 84, "iter": 105200, "lr": 2e-05, "memory": 17837, "data_time": 0.00555, "decode.loss_seg": 0.2647, "decode.acc_seg": 71.26344, "aux.loss_seg": 0.2046, "aux.acc_seg": 64.93382, "loss": 0.4693, "time": 0.39985} -{"mode": "train", "epoch": 84, "iter": 105250, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.27883, "decode.acc_seg": 72.29806, "aux.loss_seg": 0.21206, "aux.acc_seg": 65.89456, "loss": 0.49089, "time": 0.39731} -{"mode": "train", "epoch": 84, "iter": 105300, "lr": 2e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.26979, "decode.acc_seg": 71.18646, "aux.loss_seg": 0.20391, "aux.acc_seg": 65.03238, "loss": 0.4737, "time": 0.40373} -{"mode": "train", "epoch": 84, "iter": 105350, "lr": 2e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.27421, "decode.acc_seg": 72.32657, "aux.loss_seg": 0.2182, "aux.acc_seg": 65.18284, "loss": 0.49241, "time": 0.41237} -{"mode": "train", "epoch": 84, "iter": 105400, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.27135, "decode.acc_seg": 71.66483, "aux.loss_seg": 0.20384, "aux.acc_seg": 65.62355, "loss": 0.47519, "time": 0.41479} -{"mode": "train", "epoch": 84, "iter": 105450, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25108, "decode.acc_seg": 72.51751, "aux.loss_seg": 0.19301, "aux.acc_seg": 66.16452, "loss": 0.44409, "time": 0.39534} -{"mode": "train", "epoch": 84, "iter": 105500, "lr": 2e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.27751, "decode.acc_seg": 71.84473, "aux.loss_seg": 0.21105, "aux.acc_seg": 65.27417, "loss": 0.48856, "time": 0.40052} -{"mode": "train", "epoch": 84, "iter": 105550, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28533, "decode.acc_seg": 72.48247, "aux.loss_seg": 0.21709, "aux.acc_seg": 65.65001, "loss": 0.50242, "time": 0.3966} -{"mode": "train", "epoch": 84, "iter": 105600, "lr": 2e-05, "memory": 17837, "data_time": 0.00552, "decode.loss_seg": 0.26722, "decode.acc_seg": 72.91239, "aux.loss_seg": 0.20348, "aux.acc_seg": 66.66253, "loss": 0.4707, "time": 0.39793} -{"mode": "train", "epoch": 84, "iter": 105650, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.28269, "decode.acc_seg": 71.53675, "aux.loss_seg": 0.20806, "aux.acc_seg": 65.44772, "loss": 0.49075, "time": 0.39437} -{"mode": "train", "epoch": 84, "iter": 105700, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.28118, "decode.acc_seg": 71.62162, "aux.loss_seg": 0.20811, "aux.acc_seg": 65.23674, "loss": 0.48929, "time": 0.39615} -{"mode": "train", "epoch": 84, "iter": 105750, "lr": 2e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.30343, "decode.acc_seg": 73.5774, "aux.loss_seg": 0.22768, "aux.acc_seg": 66.44528, "loss": 0.53112, "time": 0.40068} -{"mode": "train", "epoch": 84, "iter": 105800, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.28751, "decode.acc_seg": 72.08127, "aux.loss_seg": 0.2182, "aux.acc_seg": 65.07806, "loss": 0.50571, "time": 0.40358} -{"mode": "train", "epoch": 84, "iter": 105850, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25581, "decode.acc_seg": 70.45915, "aux.loss_seg": 0.19659, "aux.acc_seg": 63.98374, "loss": 0.4524, "time": 0.39962} -{"mode": "train", "epoch": 84, "iter": 105900, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26012, "decode.acc_seg": 73.32189, "aux.loss_seg": 0.20281, "aux.acc_seg": 66.49122, "loss": 0.46293, "time": 0.39737} -{"mode": "train", "epoch": 84, "iter": 105950, "lr": 2e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.28389, "decode.acc_seg": 72.03563, "aux.loss_seg": 0.21213, "aux.acc_seg": 65.52768, "loss": 0.49602, "time": 0.39853} -{"mode": "train", "epoch": 84, "iter": 106000, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26392, "decode.acc_seg": 72.226, "aux.loss_seg": 0.2025, "aux.acc_seg": 65.60756, "loss": 0.46642, "time": 0.4129} -{"mode": "train", "epoch": 84, "iter": 106050, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.27821, "decode.acc_seg": 72.30351, "aux.loss_seg": 0.21489, "aux.acc_seg": 65.36878, "loss": 0.49311, "time": 0.40642} -{"mode": "train", "epoch": 85, "iter": 106100, "lr": 2e-05, "memory": 17837, "data_time": 0.24393, "decode.loss_seg": 0.27522, "decode.acc_seg": 72.52736, "aux.loss_seg": 0.21686, "aux.acc_seg": 65.57376, "loss": 0.49208, "time": 0.63094} -{"mode": "train", "epoch": 85, "iter": 106150, "lr": 2e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.26031, "decode.acc_seg": 71.06795, "aux.loss_seg": 0.1941, "aux.acc_seg": 65.43166, "loss": 0.4544, "time": 0.41161} -{"mode": "train", "epoch": 85, "iter": 106200, "lr": 2e-05, "memory": 17837, "data_time": 0.00686, "decode.loss_seg": 0.2843, "decode.acc_seg": 71.93477, "aux.loss_seg": 0.21211, "aux.acc_seg": 65.52169, "loss": 0.49641, "time": 0.40409} -{"mode": "train", "epoch": 85, "iter": 106250, "lr": 2e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.26383, "decode.acc_seg": 71.50583, "aux.loss_seg": 0.1974, "aux.acc_seg": 65.47336, "loss": 0.46124, "time": 0.40639} -{"mode": "train", "epoch": 85, "iter": 106300, "lr": 2e-05, "memory": 17837, "data_time": 0.00564, "decode.loss_seg": 0.26951, "decode.acc_seg": 71.04096, "aux.loss_seg": 0.20505, "aux.acc_seg": 64.64723, "loss": 0.47456, "time": 0.40254} -{"mode": "train", "epoch": 85, "iter": 106350, "lr": 2e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.27799, "decode.acc_seg": 71.29267, "aux.loss_seg": 0.20991, "aux.acc_seg": 64.7034, "loss": 0.4879, "time": 0.40014} -{"mode": "train", "epoch": 85, "iter": 106400, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27521, "decode.acc_seg": 72.21282, "aux.loss_seg": 0.20555, "aux.acc_seg": 66.00455, "loss": 0.48077, "time": 0.39607} -{"mode": "train", "epoch": 85, "iter": 106450, "lr": 2e-05, "memory": 17837, "data_time": 0.00561, "decode.loss_seg": 0.26651, "decode.acc_seg": 71.60051, "aux.loss_seg": 0.20715, "aux.acc_seg": 64.73556, "loss": 0.47366, "time": 0.39169} -{"mode": "train", "epoch": 85, "iter": 106500, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.26052, "decode.acc_seg": 72.88855, "aux.loss_seg": 0.1989, "aux.acc_seg": 66.4889, "loss": 0.45942, "time": 0.39804} -{"mode": "train", "epoch": 85, "iter": 106550, "lr": 2e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.28607, "decode.acc_seg": 71.92033, "aux.loss_seg": 0.21489, "aux.acc_seg": 65.58873, "loss": 0.50096, "time": 0.39426} -{"mode": "train", "epoch": 85, "iter": 106600, "lr": 2e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.27377, "decode.acc_seg": 72.2451, "aux.loss_seg": 0.21448, "aux.acc_seg": 65.63776, "loss": 0.48826, "time": 0.39966} -{"mode": "train", "epoch": 85, "iter": 106650, "lr": 2e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.26434, "decode.acc_seg": 72.96836, "aux.loss_seg": 0.20924, "aux.acc_seg": 66.13195, "loss": 0.47358, "time": 0.39685} -{"mode": "train", "epoch": 85, "iter": 106700, "lr": 2e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.26988, "decode.acc_seg": 72.06534, "aux.loss_seg": 0.2078, "aux.acc_seg": 65.35089, "loss": 0.47768, "time": 0.39621} -{"mode": "train", "epoch": 85, "iter": 106750, "lr": 2e-05, "memory": 17837, "data_time": 0.0055, "decode.loss_seg": 0.26699, "decode.acc_seg": 73.04076, "aux.loss_seg": 0.20634, "aux.acc_seg": 66.23075, "loss": 0.47333, "time": 0.3937} -{"mode": "train", "epoch": 85, "iter": 106800, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.25459, "decode.acc_seg": 72.01289, "aux.loss_seg": 0.19577, "aux.acc_seg": 65.56938, "loss": 0.45036, "time": 0.39959} -{"mode": "train", "epoch": 85, "iter": 106850, "lr": 2e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.28108, "decode.acc_seg": 71.72245, "aux.loss_seg": 0.22286, "aux.acc_seg": 64.34097, "loss": 0.50395, "time": 0.39543} -{"mode": "train", "epoch": 85, "iter": 106900, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.27574, "decode.acc_seg": 70.87025, "aux.loss_seg": 0.20954, "aux.acc_seg": 64.431, "loss": 0.48527, "time": 0.39819} -{"mode": "train", "epoch": 85, "iter": 106950, "lr": 2e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.26885, "decode.acc_seg": 70.43848, "aux.loss_seg": 0.20399, "aux.acc_seg": 63.99353, "loss": 0.47283, "time": 0.40064} -{"mode": "train", "epoch": 85, "iter": 107000, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.27433, "decode.acc_seg": 71.6234, "aux.loss_seg": 0.20616, "aux.acc_seg": 65.36215, "loss": 0.48049, "time": 0.3962} -{"mode": "train", "epoch": 85, "iter": 107050, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.28326, "decode.acc_seg": 72.53604, "aux.loss_seg": 0.22127, "aux.acc_seg": 65.35998, "loss": 0.50453, "time": 0.39321} -{"mode": "train", "epoch": 85, "iter": 107100, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.27089, "decode.acc_seg": 72.42646, "aux.loss_seg": 0.20958, "aux.acc_seg": 65.89843, "loss": 0.48048, "time": 0.39587} -{"mode": "train", "epoch": 85, "iter": 107150, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.26977, "decode.acc_seg": 71.26372, "aux.loss_seg": 0.19981, "aux.acc_seg": 65.12838, "loss": 0.46958, "time": 0.39775} -{"mode": "train", "epoch": 85, "iter": 107200, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.26746, "decode.acc_seg": 72.01616, "aux.loss_seg": 0.20643, "aux.acc_seg": 65.03332, "loss": 0.47389, "time": 0.39225} -{"mode": "train", "epoch": 85, "iter": 107250, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.27281, "decode.acc_seg": 72.46274, "aux.loss_seg": 0.20943, "aux.acc_seg": 65.88408, "loss": 0.48224, "time": 0.39787} -{"mode": "train", "epoch": 85, "iter": 107300, "lr": 2e-05, "memory": 17837, "data_time": 0.00567, "decode.loss_seg": 0.27182, "decode.acc_seg": 71.75414, "aux.loss_seg": 0.20397, "aux.acc_seg": 65.57583, "loss": 0.47579, "time": 0.39705} -{"mode": "train", "epoch": 85, "iter": 107350, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.28571, "decode.acc_seg": 72.00946, "aux.loss_seg": 0.20822, "aux.acc_seg": 65.8871, "loss": 0.49393, "time": 0.39382} -{"mode": "train", "epoch": 86, "iter": 107400, "lr": 2e-05, "memory": 17837, "data_time": 0.24468, "decode.loss_seg": 0.25462, "decode.acc_seg": 72.9843, "aux.loss_seg": 0.20022, "aux.acc_seg": 66.64992, "loss": 0.45484, "time": 0.63577} -{"mode": "train", "epoch": 86, "iter": 107450, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.26396, "decode.acc_seg": 73.61941, "aux.loss_seg": 0.20112, "aux.acc_seg": 67.23052, "loss": 0.46509, "time": 0.39486} -{"mode": "train", "epoch": 86, "iter": 107500, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.28133, "decode.acc_seg": 72.87199, "aux.loss_seg": 0.21324, "aux.acc_seg": 66.0133, "loss": 0.49458, "time": 0.39714} -{"mode": "train", "epoch": 86, "iter": 107550, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.26908, "decode.acc_seg": 70.86273, "aux.loss_seg": 0.21206, "aux.acc_seg": 64.11433, "loss": 0.48114, "time": 0.39712} -{"mode": "train", "epoch": 86, "iter": 107600, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.26541, "decode.acc_seg": 70.78366, "aux.loss_seg": 0.20194, "aux.acc_seg": 64.63138, "loss": 0.46735, "time": 0.39476} -{"mode": "train", "epoch": 86, "iter": 107650, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.27374, "decode.acc_seg": 70.86382, "aux.loss_seg": 0.20344, "aux.acc_seg": 64.66354, "loss": 0.47718, "time": 0.40758} -{"mode": "train", "epoch": 86, "iter": 107700, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25686, "decode.acc_seg": 71.38462, "aux.loss_seg": 0.19643, "aux.acc_seg": 65.21756, "loss": 0.45329, "time": 0.40037} -{"mode": "train", "epoch": 86, "iter": 107750, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.27633, "decode.acc_seg": 71.96568, "aux.loss_seg": 0.20918, "aux.acc_seg": 65.52095, "loss": 0.48551, "time": 0.40433} -{"mode": "train", "epoch": 86, "iter": 107800, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.27533, "decode.acc_seg": 71.46632, "aux.loss_seg": 0.20651, "aux.acc_seg": 65.17314, "loss": 0.48184, "time": 0.40385} -{"mode": "train", "epoch": 86, "iter": 107850, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.2604, "decode.acc_seg": 72.66382, "aux.loss_seg": 0.20039, "aux.acc_seg": 66.06226, "loss": 0.46078, "time": 0.40143} -{"mode": "train", "epoch": 86, "iter": 107900, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.26748, "decode.acc_seg": 71.6366, "aux.loss_seg": 0.20415, "aux.acc_seg": 65.26707, "loss": 0.47162, "time": 0.39942} -{"mode": "train", "epoch": 86, "iter": 107950, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.27681, "decode.acc_seg": 71.49091, "aux.loss_seg": 0.21053, "aux.acc_seg": 65.25135, "loss": 0.48734, "time": 0.40642} -{"mode": "train", "epoch": 86, "iter": 108000, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.24014, "decode.acc_seg": 72.4313, "aux.loss_seg": 0.18657, "aux.acc_seg": 66.49066, "loss": 0.42671, "time": 0.40063} -{"mode": "train", "epoch": 86, "iter": 108050, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.26481, "decode.acc_seg": 72.91755, "aux.loss_seg": 0.20478, "aux.acc_seg": 66.31852, "loss": 0.46958, "time": 0.40833} -{"mode": "train", "epoch": 86, "iter": 108100, "lr": 2e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.27384, "decode.acc_seg": 73.15248, "aux.loss_seg": 0.21155, "aux.acc_seg": 66.06614, "loss": 0.48539, "time": 0.39953} -{"mode": "train", "epoch": 86, "iter": 108150, "lr": 2e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.27181, "decode.acc_seg": 72.89527, "aux.loss_seg": 0.22072, "aux.acc_seg": 65.47184, "loss": 0.49254, "time": 0.41756} -{"mode": "train", "epoch": 86, "iter": 108200, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.28334, "decode.acc_seg": 72.36564, "aux.loss_seg": 0.21496, "aux.acc_seg": 65.62645, "loss": 0.4983, "time": 0.40434} -{"mode": "train", "epoch": 86, "iter": 108250, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26821, "decode.acc_seg": 72.31214, "aux.loss_seg": 0.20529, "aux.acc_seg": 65.55715, "loss": 0.4735, "time": 0.39819} -{"mode": "train", "epoch": 86, "iter": 108300, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.27676, "decode.acc_seg": 71.79578, "aux.loss_seg": 0.21205, "aux.acc_seg": 65.15067, "loss": 0.48881, "time": 0.39267} -{"mode": "train", "epoch": 86, "iter": 108350, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.27582, "decode.acc_seg": 72.07433, "aux.loss_seg": 0.20794, "aux.acc_seg": 65.48034, "loss": 0.48376, "time": 0.4011} -{"mode": "train", "epoch": 86, "iter": 108400, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.27568, "decode.acc_seg": 70.85856, "aux.loss_seg": 0.21066, "aux.acc_seg": 64.05387, "loss": 0.48634, "time": 0.40236} -{"mode": "train", "epoch": 86, "iter": 108450, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.28488, "decode.acc_seg": 71.11974, "aux.loss_seg": 0.21329, "aux.acc_seg": 64.33205, "loss": 0.49817, "time": 0.39737} -{"mode": "train", "epoch": 86, "iter": 108500, "lr": 2e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.27764, "decode.acc_seg": 73.39252, "aux.loss_seg": 0.21546, "aux.acc_seg": 66.52608, "loss": 0.4931, "time": 0.40361} -{"mode": "train", "epoch": 86, "iter": 108550, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26972, "decode.acc_seg": 71.42426, "aux.loss_seg": 0.21, "aux.acc_seg": 64.6113, "loss": 0.47972, "time": 0.39455} -{"mode": "train", "epoch": 86, "iter": 108600, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.26562, "decode.acc_seg": 71.99024, "aux.loss_seg": 0.20664, "aux.acc_seg": 65.1046, "loss": 0.47226, "time": 0.39861} -{"mode": "train", "epoch": 87, "iter": 108650, "lr": 2e-05, "memory": 17837, "data_time": 0.24213, "decode.loss_seg": 0.27531, "decode.acc_seg": 72.99328, "aux.loss_seg": 0.21064, "aux.acc_seg": 66.36064, "loss": 0.48595, "time": 0.62919} -{"mode": "train", "epoch": 87, "iter": 108700, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27904, "decode.acc_seg": 72.12378, "aux.loss_seg": 0.21914, "aux.acc_seg": 64.85045, "loss": 0.49818, "time": 0.39735} -{"mode": "train", "epoch": 87, "iter": 108750, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.26574, "decode.acc_seg": 71.16771, "aux.loss_seg": 0.20218, "aux.acc_seg": 64.96839, "loss": 0.46792, "time": 0.40035} -{"mode": "train", "epoch": 87, "iter": 108800, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26952, "decode.acc_seg": 70.91249, "aux.loss_seg": 0.20306, "aux.acc_seg": 64.40207, "loss": 0.47258, "time": 0.41321} -{"mode": "train", "epoch": 87, "iter": 108850, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26526, "decode.acc_seg": 72.17089, "aux.loss_seg": 0.20374, "aux.acc_seg": 65.616, "loss": 0.469, "time": 0.40238} -{"mode": "train", "epoch": 87, "iter": 108900, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26675, "decode.acc_seg": 71.72464, "aux.loss_seg": 0.20861, "aux.acc_seg": 64.96209, "loss": 0.47536, "time": 0.3945} -{"mode": "train", "epoch": 87, "iter": 108950, "lr": 2e-05, "memory": 17837, "data_time": 0.00685, "decode.loss_seg": 0.25563, "decode.acc_seg": 72.16846, "aux.loss_seg": 0.1925, "aux.acc_seg": 66.17298, "loss": 0.44813, "time": 0.40876} -{"mode": "train", "epoch": 87, "iter": 109000, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26572, "decode.acc_seg": 72.52536, "aux.loss_seg": 0.20556, "aux.acc_seg": 65.91303, "loss": 0.47128, "time": 0.39477} -{"mode": "train", "epoch": 87, "iter": 109050, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26538, "decode.acc_seg": 71.20633, "aux.loss_seg": 0.20707, "aux.acc_seg": 64.38539, "loss": 0.47245, "time": 0.40669} -{"mode": "train", "epoch": 87, "iter": 109100, "lr": 2e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.2694, "decode.acc_seg": 72.83071, "aux.loss_seg": 0.20578, "aux.acc_seg": 66.21536, "loss": 0.47518, "time": 0.42036} -{"mode": "train", "epoch": 87, "iter": 109150, "lr": 2e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.26757, "decode.acc_seg": 73.00545, "aux.loss_seg": 0.21166, "aux.acc_seg": 66.14309, "loss": 0.47923, "time": 0.41086} -{"mode": "train", "epoch": 87, "iter": 109200, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.26882, "decode.acc_seg": 72.09601, "aux.loss_seg": 0.20779, "aux.acc_seg": 65.39795, "loss": 0.47661, "time": 0.40295} -{"mode": "train", "epoch": 87, "iter": 109250, "lr": 2e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.2773, "decode.acc_seg": 72.63939, "aux.loss_seg": 0.2087, "aux.acc_seg": 66.01233, "loss": 0.48599, "time": 0.41499} -{"mode": "train", "epoch": 87, "iter": 109300, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26842, "decode.acc_seg": 72.39604, "aux.loss_seg": 0.21015, "aux.acc_seg": 65.35291, "loss": 0.47857, "time": 0.3961} -{"mode": "train", "epoch": 87, "iter": 109350, "lr": 2e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.26958, "decode.acc_seg": 71.94516, "aux.loss_seg": 0.20394, "aux.acc_seg": 65.39315, "loss": 0.47352, "time": 0.39903} -{"mode": "train", "epoch": 87, "iter": 109400, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26369, "decode.acc_seg": 72.37192, "aux.loss_seg": 0.20292, "aux.acc_seg": 65.89189, "loss": 0.46661, "time": 0.40304} -{"mode": "train", "epoch": 87, "iter": 109450, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27689, "decode.acc_seg": 73.05751, "aux.loss_seg": 0.20043, "aux.acc_seg": 67.07603, "loss": 0.47732, "time": 0.41209} -{"mode": "train", "epoch": 87, "iter": 109500, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.25764, "decode.acc_seg": 72.30515, "aux.loss_seg": 0.20293, "aux.acc_seg": 65.58582, "loss": 0.46058, "time": 0.40238} -{"mode": "train", "epoch": 87, "iter": 109550, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.26479, "decode.acc_seg": 71.65283, "aux.loss_seg": 0.20322, "aux.acc_seg": 65.2661, "loss": 0.46801, "time": 0.40123} -{"mode": "train", "epoch": 87, "iter": 109600, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.28051, "decode.acc_seg": 72.11458, "aux.loss_seg": 0.21056, "aux.acc_seg": 65.17533, "loss": 0.49107, "time": 0.39928} -{"mode": "train", "epoch": 87, "iter": 109650, "lr": 2e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.26667, "decode.acc_seg": 72.30563, "aux.loss_seg": 0.20532, "aux.acc_seg": 65.68559, "loss": 0.472, "time": 0.40065} -{"mode": "train", "epoch": 87, "iter": 109700, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.25179, "decode.acc_seg": 71.13393, "aux.loss_seg": 0.18846, "aux.acc_seg": 65.43731, "loss": 0.44025, "time": 0.39654} -{"mode": "train", "epoch": 87, "iter": 109750, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.27252, "decode.acc_seg": 71.36711, "aux.loss_seg": 0.21106, "aux.acc_seg": 64.73702, "loss": 0.48358, "time": 0.39629} -{"mode": "train", "epoch": 87, "iter": 109800, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.26609, "decode.acc_seg": 71.91495, "aux.loss_seg": 0.20655, "aux.acc_seg": 65.19817, "loss": 0.47264, "time": 0.39834} -{"mode": "train", "epoch": 87, "iter": 109850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.27591, "decode.acc_seg": 71.03428, "aux.loss_seg": 0.20907, "aux.acc_seg": 64.6062, "loss": 0.48498, "time": 0.39779} -{"mode": "train", "epoch": 88, "iter": 109900, "lr": 2e-05, "memory": 17837, "data_time": 0.24066, "decode.loss_seg": 0.27172, "decode.acc_seg": 72.1833, "aux.loss_seg": 0.20275, "aux.acc_seg": 66.23348, "loss": 0.47448, "time": 0.6289} -{"mode": "train", "epoch": 88, "iter": 109950, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.25902, "decode.acc_seg": 72.86826, "aux.loss_seg": 0.20293, "aux.acc_seg": 66.23136, "loss": 0.46196, "time": 0.41056} -{"mode": "train", "epoch": 88, "iter": 110000, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25715, "decode.acc_seg": 72.65134, "aux.loss_seg": 0.20687, "aux.acc_seg": 65.66783, "loss": 0.46401, "time": 0.39846} -{"mode": "train", "epoch": 88, "iter": 110050, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.26951, "decode.acc_seg": 71.77744, "aux.loss_seg": 0.20897, "aux.acc_seg": 65.30961, "loss": 0.47848, "time": 0.39946} -{"mode": "train", "epoch": 88, "iter": 110100, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.26372, "decode.acc_seg": 72.13213, "aux.loss_seg": 0.20654, "aux.acc_seg": 65.19041, "loss": 0.47025, "time": 0.39831} -{"mode": "train", "epoch": 88, "iter": 110150, "lr": 2e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.25772, "decode.acc_seg": 72.85022, "aux.loss_seg": 0.20327, "aux.acc_seg": 65.88054, "loss": 0.46099, "time": 0.41803} -{"mode": "train", "epoch": 88, "iter": 110200, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.27181, "decode.acc_seg": 71.01315, "aux.loss_seg": 0.21663, "aux.acc_seg": 63.79165, "loss": 0.48844, "time": 0.39503} -{"mode": "train", "epoch": 88, "iter": 110250, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.25618, "decode.acc_seg": 73.94847, "aux.loss_seg": 0.20037, "aux.acc_seg": 67.35376, "loss": 0.45655, "time": 0.39477} -{"mode": "train", "epoch": 88, "iter": 110300, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.28043, "decode.acc_seg": 72.95168, "aux.loss_seg": 0.21647, "aux.acc_seg": 65.81469, "loss": 0.4969, "time": 0.39447} -{"mode": "train", "epoch": 88, "iter": 110350, "lr": 2e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.2639, "decode.acc_seg": 70.45404, "aux.loss_seg": 0.20704, "aux.acc_seg": 63.73081, "loss": 0.47094, "time": 0.39557} -{"mode": "train", "epoch": 88, "iter": 110400, "lr": 2e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25267, "decode.acc_seg": 72.77892, "aux.loss_seg": 0.19558, "aux.acc_seg": 66.58875, "loss": 0.44825, "time": 0.40277} -{"mode": "train", "epoch": 88, "iter": 110450, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26342, "decode.acc_seg": 72.81107, "aux.loss_seg": 0.20898, "aux.acc_seg": 66.20026, "loss": 0.47239, "time": 0.39279} -{"mode": "train", "epoch": 88, "iter": 110500, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.27152, "decode.acc_seg": 71.80876, "aux.loss_seg": 0.19939, "aux.acc_seg": 65.93588, "loss": 0.47091, "time": 0.39443} -{"mode": "train", "epoch": 88, "iter": 110550, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.27835, "decode.acc_seg": 72.14698, "aux.loss_seg": 0.20608, "aux.acc_seg": 65.72856, "loss": 0.48443, "time": 0.40062} -{"mode": "train", "epoch": 88, "iter": 110600, "lr": 2e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.26961, "decode.acc_seg": 71.10455, "aux.loss_seg": 0.19915, "aux.acc_seg": 65.05019, "loss": 0.46876, "time": 0.40195} -{"mode": "train", "epoch": 88, "iter": 110650, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.26752, "decode.acc_seg": 72.37333, "aux.loss_seg": 0.20223, "aux.acc_seg": 66.16944, "loss": 0.46975, "time": 0.40344} -{"mode": "train", "epoch": 88, "iter": 110700, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.27162, "decode.acc_seg": 71.8616, "aux.loss_seg": 0.20901, "aux.acc_seg": 65.10627, "loss": 0.48063, "time": 0.40066} -{"mode": "train", "epoch": 88, "iter": 110750, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.27249, "decode.acc_seg": 70.88934, "aux.loss_seg": 0.20747, "aux.acc_seg": 64.5276, "loss": 0.47996, "time": 0.39811} -{"mode": "train", "epoch": 88, "iter": 110800, "lr": 2e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.276, "decode.acc_seg": 72.89698, "aux.loss_seg": 0.20415, "aux.acc_seg": 66.53991, "loss": 0.48015, "time": 0.40911} -{"mode": "train", "epoch": 88, "iter": 110850, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.27305, "decode.acc_seg": 72.25659, "aux.loss_seg": 0.20726, "aux.acc_seg": 65.58462, "loss": 0.48031, "time": 0.40843} -{"mode": "train", "epoch": 88, "iter": 110900, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.26549, "decode.acc_seg": 71.92413, "aux.loss_seg": 0.20716, "aux.acc_seg": 64.89511, "loss": 0.47265, "time": 0.40872} -{"mode": "train", "epoch": 88, "iter": 110950, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26601, "decode.acc_seg": 71.62215, "aux.loss_seg": 0.20439, "aux.acc_seg": 65.12905, "loss": 0.4704, "time": 0.40066} -{"mode": "train", "epoch": 88, "iter": 111000, "lr": 2e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.29315, "decode.acc_seg": 72.30104, "aux.loss_seg": 0.21641, "aux.acc_seg": 65.66507, "loss": 0.50957, "time": 0.3956} -{"mode": "train", "epoch": 88, "iter": 111050, "lr": 2e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26726, "decode.acc_seg": 72.34359, "aux.loss_seg": 0.20527, "aux.acc_seg": 66.12339, "loss": 0.47253, "time": 0.39487} -{"mode": "train", "epoch": 88, "iter": 111100, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26679, "decode.acc_seg": 73.43947, "aux.loss_seg": 0.21225, "aux.acc_seg": 66.51362, "loss": 0.47904, "time": 0.41332} -{"mode": "train", "epoch": 89, "iter": 111150, "lr": 2e-05, "memory": 17837, "data_time": 0.24216, "decode.loss_seg": 0.26126, "decode.acc_seg": 72.50421, "aux.loss_seg": 0.20118, "aux.acc_seg": 66.13269, "loss": 0.46244, "time": 0.6409} -{"mode": "train", "epoch": 89, "iter": 111200, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.26826, "decode.acc_seg": 71.76071, "aux.loss_seg": 0.2092, "aux.acc_seg": 64.87562, "loss": 0.47746, "time": 0.39569} -{"mode": "train", "epoch": 89, "iter": 111250, "lr": 2e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.26648, "decode.acc_seg": 73.36381, "aux.loss_seg": 0.20399, "aux.acc_seg": 66.76495, "loss": 0.47047, "time": 0.40515} -{"mode": "train", "epoch": 89, "iter": 111300, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.26118, "decode.acc_seg": 72.25599, "aux.loss_seg": 0.20073, "aux.acc_seg": 66.01836, "loss": 0.46191, "time": 0.40518} -{"mode": "train", "epoch": 89, "iter": 111350, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.259, "decode.acc_seg": 72.66715, "aux.loss_seg": 0.20021, "aux.acc_seg": 66.2367, "loss": 0.45921, "time": 0.39502} -{"mode": "train", "epoch": 89, "iter": 111400, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.25004, "decode.acc_seg": 71.46386, "aux.loss_seg": 0.19419, "aux.acc_seg": 65.29246, "loss": 0.44423, "time": 0.3979} -{"mode": "train", "epoch": 89, "iter": 111450, "lr": 2e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.26115, "decode.acc_seg": 73.3582, "aux.loss_seg": 0.20863, "aux.acc_seg": 66.4126, "loss": 0.46979, "time": 0.39788} -{"mode": "train", "epoch": 89, "iter": 111500, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.2555, "decode.acc_seg": 71.98895, "aux.loss_seg": 0.19724, "aux.acc_seg": 65.72654, "loss": 0.45275, "time": 0.39505} -{"mode": "train", "epoch": 89, "iter": 111550, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.26111, "decode.acc_seg": 72.29853, "aux.loss_seg": 0.2009, "aux.acc_seg": 66.00704, "loss": 0.46201, "time": 0.41536} -{"mode": "train", "epoch": 89, "iter": 111600, "lr": 2e-05, "memory": 17837, "data_time": 0.00664, "decode.loss_seg": 0.26831, "decode.acc_seg": 72.25373, "aux.loss_seg": 0.20472, "aux.acc_seg": 65.56219, "loss": 0.47303, "time": 0.40514} -{"mode": "train", "epoch": 89, "iter": 111650, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.271, "decode.acc_seg": 72.97703, "aux.loss_seg": 0.20804, "aux.acc_seg": 66.41356, "loss": 0.47904, "time": 0.40408} -{"mode": "train", "epoch": 89, "iter": 111700, "lr": 2e-05, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.27678, "decode.acc_seg": 70.2529, "aux.loss_seg": 0.20576, "aux.acc_seg": 64.01959, "loss": 0.48254, "time": 0.39767} -{"mode": "train", "epoch": 89, "iter": 111750, "lr": 2e-05, "memory": 17837, "data_time": 0.00701, "decode.loss_seg": 0.26546, "decode.acc_seg": 72.78985, "aux.loss_seg": 0.20834, "aux.acc_seg": 66.17935, "loss": 0.47379, "time": 0.40224} -{"mode": "train", "epoch": 89, "iter": 111800, "lr": 2e-05, "memory": 17837, "data_time": 0.00706, "decode.loss_seg": 0.28549, "decode.acc_seg": 72.67148, "aux.loss_seg": 0.21932, "aux.acc_seg": 66.15571, "loss": 0.50481, "time": 0.41851} -{"mode": "train", "epoch": 89, "iter": 111850, "lr": 2e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.26581, "decode.acc_seg": 71.93792, "aux.loss_seg": 0.2046, "aux.acc_seg": 65.35576, "loss": 0.47041, "time": 0.4209} -{"mode": "train", "epoch": 89, "iter": 111900, "lr": 2e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.25351, "decode.acc_seg": 72.25253, "aux.loss_seg": 0.20334, "aux.acc_seg": 65.48669, "loss": 0.45685, "time": 0.41753} -{"mode": "train", "epoch": 89, "iter": 111950, "lr": 2e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.27109, "decode.acc_seg": 72.77135, "aux.loss_seg": 0.21217, "aux.acc_seg": 65.66365, "loss": 0.48327, "time": 0.40017} -{"mode": "val", "epoch": 89, "iter": 112000, "lr": 2e-05, "mIoU": 0.4514, "mAcc": 0.5715, "aAcc": 0.8094, "IoU.wall": 0.7492, "IoU.building": 0.8039, "IoU.sky": 0.9386, "IoU.floor": 0.7879, "IoU.tree": 0.7249, "IoU.ceiling": 0.8225, "IoU.road": 0.8037, "IoU.bed ": 0.8571, "IoU.windowpane": 0.592, "IoU.grass": 0.6429, "IoU.cabinet": 0.5737, "IoU.sidewalk": 0.6032, "IoU.person": 0.7547, "IoU.earth": 0.2922, "IoU.door": 0.4118, "IoU.table": 0.5391, "IoU.mountain": 0.5538, "IoU.plant": 0.4993, "IoU.curtain": 0.6697, "IoU.chair": 0.5012, "IoU.car": 0.8188, "IoU.water": 0.48, "IoU.painting": 0.6843, "IoU.sofa": 0.5466, "IoU.shelf": 0.3728, "IoU.house": 0.4517, "IoU.sea": 0.4964, "IoU.mirror": 0.5657, "IoU.rug": 0.6297, "IoU.field": 0.2498, "IoU.armchair": 0.3313, "IoU.seat": 0.601, "IoU.fence": 0.3619, "IoU.desk": 0.4711, "IoU.rock": 0.4249, "IoU.wardrobe": 0.4284, "IoU.lamp": 0.5614, "IoU.bathtub": 0.7291, "IoU.railing": 0.3404, "IoU.cushion": 0.5326, "IoU.base": 0.3075, "IoU.box": 0.2428, "IoU.column": 0.4151, "IoU.signboard": 0.3305, "IoU.chest of drawers": 0.3742, "IoU.counter": 0.2593, "IoU.sand": 0.3785, "IoU.sink": 0.6628, "IoU.skyscraper": 0.6809, "IoU.fireplace": NaN, "IoU.refrigerator": 0.6622, "IoU.grandstand": 0.4764, "IoU.path": 0.1823, "IoU.stairs": 0.2864, "IoU.runway": 0.7123, "IoU.case": 0.437, "IoU.pool table": 0.9187, "IoU.pillow": 0.4987, "IoU.screen door": 0.5837, "IoU.stairway": 0.2552, "IoU.river": 0.1391, "IoU.bridge": 0.5246, "IoU.bookcase": 0.4391, "IoU.blind": NaN, "IoU.coffee table": 0.5385, "IoU.toilet": 0.798, "IoU.flower": 0.396, "IoU.book": 0.4018, "IoU.hill": 0.1132, "IoU.bench": 0.4051, "IoU.countertop": 0.5048, "IoU.stove": 0.6686, "IoU.palm": 0.4614, "IoU.kitchen island": 0.3674, "IoU.computer": 0.6377, "IoU.swivel chair": 0.4255, "IoU.boat": 0.4143, "IoU.bar": 0.287, "IoU.arcade machine": 0.3173, "IoU.hovel": 0.3553, "IoU.bus": 0.787, "IoU.towel": 0.5793, "IoU.light": 0.5008, "IoU.truck": 0.159, "IoU.tower": 0.2866, "IoU.chandelier": 0.6158, "IoU.awning": 0.2469, "IoU.streetlight": 0.1824, "IoU.booth": 0.5598, "IoU.television receiver": NaN, "IoU.airplane": 0.5225, "IoU.dirt track": 0.169, "IoU.apparel": 0.273, "IoU.pole": 0.1281, "IoU.land": 0.0479, "IoU.bannister": 0.0403, "IoU.escalator": 0.3189, "IoU.ottoman": 0.3728, "IoU.bottle": NaN, "IoU.buffet": 0.4527, "IoU.poster": 0.2605, "IoU.stage": 0.1227, "IoU.van": 0.3971, "IoU.ship": 0.4817, "IoU.fountain": 0.2446, "IoU.conveyer belt": 0.6626, "IoU.canopy": 0.2263, "IoU.washer": 0.6905, "IoU.plaything": 0.1661, "IoU.swimming pool": 0.5565, "IoU.stool": 0.3581, "IoU.barrel": 0.5023, "IoU.basket": 0.237, "IoU.waterfall": 0.609, "IoU.tent": 0.8875, "IoU.bag": 0.072, "IoU.minibike": 0.7188, "IoU.cradle": NaN, "IoU.oven": 0.3773, "IoU.ball": 0.4556, "IoU.food": 0.436, "IoU.step": 0.1224, "IoU.tank": 0.5452, "IoU.trade name": 0.2598, "IoU.microwave": 0.7567, "IoU.pot": 0.4571, "IoU.animal": NaN, "IoU.bicycle": 0.4886, "IoU.lake": 0.5745, "IoU.dishwasher": 0.563, "IoU.screen": 0.6865, "IoU.blanket": 0.1156, "IoU.sculpture": 0.5855, "IoU.hood": 0.5608, "IoU.sconce": 0.4058, "IoU.vase": 0.3227, "IoU.traffic light": 0.2391, "IoU.tray": 0.0836, "IoU.ashcan": 0.2848, "IoU.fan": 0.5255, "IoU.pier": 0.3463, "IoU.crt screen": 0.0428, "IoU.plate": 0.5235, "IoU.monitor": 0.0159, "IoU.bulletin board": 0.3277, "IoU.shower": 0.0166, "IoU.radiator": 0.5369, "IoU.glass": 0.1134, "IoU.clock": 0.3447, "IoU.flag": 0.3986, "Acc.wall": 0.8705, "Acc.building": 0.8977, "Acc.sky": 0.9728, "Acc.floor": 0.9055, "Acc.tree": 0.8675, "Acc.ceiling": 0.9233, "Acc.road": 0.8967, "Acc.bed ": 0.9453, "Acc.windowpane": 0.7491, "Acc.grass": 0.8401, "Acc.cabinet": 0.6797, "Acc.sidewalk": 0.7355, "Acc.person": 0.8981, "Acc.earth": 0.3694, "Acc.door": 0.5573, "Acc.table": 0.7131, "Acc.mountain": 0.7242, "Acc.plant": 0.6038, "Acc.curtain": 0.8304, "Acc.chair": 0.6648, "Acc.car": 0.9059, "Acc.water": 0.618, "Acc.painting": 0.8752, "Acc.sofa": 0.7281, "Acc.shelf": 0.5551, "Acc.house": 0.687, "Acc.sea": 0.756, "Acc.mirror": 0.6745, "Acc.rug": 0.6935, "Acc.field": 0.4407, "Acc.armchair": 0.4851, "Acc.seat": 0.7791, "Acc.fence": 0.4889, "Acc.desk": 0.6884, "Acc.rock": 0.6548, "Acc.wardrobe": 0.6359, "Acc.lamp": 0.6813, "Acc.bathtub": 0.786, "Acc.railing": 0.4928, "Acc.cushion": 0.697, "Acc.base": 0.4165, "Acc.box": 0.3138, "Acc.column": 0.5275, "Acc.signboard": 0.4938, "Acc.chest of drawers": 0.5547, "Acc.counter": 0.3163, "Acc.sand": 0.5034, "Acc.sink": 0.7813, "Acc.skyscraper": 0.8545, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8494, "Acc.grandstand": 0.7533, "Acc.path": 0.2595, "Acc.stairs": 0.3633, "Acc.runway": 0.922, "Acc.case": 0.5678, "Acc.pool table": 0.9592, "Acc.pillow": 0.5854, "Acc.screen door": 0.7724, "Acc.stairway": 0.3366, "Acc.river": 0.2758, "Acc.bridge": 0.6482, "Acc.bookcase": 0.5459, "Acc.blind": NaN, "Acc.coffee table": 0.7762, "Acc.toilet": 0.8689, "Acc.flower": 0.5189, "Acc.book": 0.6717, "Acc.hill": 0.1841, "Acc.bench": 0.5199, "Acc.countertop": 0.6287, "Acc.stove": 0.7847, "Acc.palm": 0.6439, "Acc.kitchen island": 0.6635, "Acc.computer": 0.8087, "Acc.swivel chair": 0.5509, "Acc.boat": 0.4926, "Acc.bar": 0.3578, "Acc.arcade machine": 0.3358, "Acc.hovel": 0.3807, "Acc.bus": 0.929, "Acc.towel": 0.7935, "Acc.light": 0.5835, "Acc.truck": 0.2269, "Acc.tower": 0.4603, "Acc.chandelier": 0.7591, "Acc.awning": 0.2964, "Acc.streetlight": 0.2473, "Acc.booth": 0.6217, "Acc.television receiver": NaN, "Acc.airplane": 0.6048, "Acc.dirt track": 0.327, "Acc.apparel": 0.4472, "Acc.pole": 0.1624, "Acc.land": 0.0579, "Acc.bannister": 0.0489, "Acc.escalator": 0.4491, "Acc.ottoman": 0.5803, "Acc.bottle": NaN, "Acc.buffet": 0.5327, "Acc.poster": 0.3446, "Acc.stage": 0.1798, "Acc.van": 0.531, "Acc.ship": 0.8093, "Acc.fountain": 0.2464, "Acc.conveyer belt": 0.7683, "Acc.canopy": 0.3077, "Acc.washer": 0.7249, "Acc.plaything": 0.2422, "Acc.swimming pool": 0.8296, "Acc.stool": 0.4709, "Acc.barrel": 0.644, "Acc.basket": 0.3114, "Acc.waterfall": 0.7744, "Acc.tent": 0.9852, "Acc.bag": 0.0926, "Acc.minibike": 0.8559, "Acc.cradle": NaN, "Acc.oven": 0.5311, "Acc.ball": 0.5238, "Acc.food": 0.5003, "Acc.step": 0.1498, "Acc.tank": 0.614, "Acc.trade name": 0.317, "Acc.microwave": 0.8585, "Acc.pot": 0.535, "Acc.animal": NaN, "Acc.bicycle": 0.7499, "Acc.lake": 0.6468, "Acc.dishwasher": 0.7285, "Acc.screen": 0.8829, "Acc.blanket": 0.1334, "Acc.sculpture": 0.7634, "Acc.hood": 0.6252, "Acc.sconce": 0.4754, "Acc.vase": 0.4304, "Acc.traffic light": 0.394, "Acc.tray": 0.1422, "Acc.ashcan": 0.3719, "Acc.fan": 0.6407, "Acc.pier": 0.4656, "Acc.crt screen": 0.1143, "Acc.plate": 0.6342, "Acc.monitor": 0.0178, "Acc.bulletin board": 0.3995, "Acc.shower": 0.0216, "Acc.radiator": 0.5918, "Acc.glass": 0.1249, "Acc.clock": 0.438, "Acc.flag": 0.4767} -{"mode": "train", "epoch": 89, "iter": 112050, "lr": 2e-05, "memory": 17837, "data_time": 1.45818, "decode.loss_seg": 0.26516, "decode.acc_seg": 71.78395, "aux.loss_seg": 0.20664, "aux.acc_seg": 65.22, "loss": 0.4718, "time": 1.86612} -{"mode": "train", "epoch": 89, "iter": 112100, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.26765, "decode.acc_seg": 70.97651, "aux.loss_seg": 0.20554, "aux.acc_seg": 64.13464, "loss": 0.47319, "time": 0.40392} -{"mode": "train", "epoch": 89, "iter": 112150, "lr": 2e-05, "memory": 17837, "data_time": 0.00536, "decode.loss_seg": 0.25708, "decode.acc_seg": 71.80002, "aux.loss_seg": 0.20114, "aux.acc_seg": 65.38393, "loss": 0.45822, "time": 0.40222} -{"mode": "train", "epoch": 89, "iter": 112200, "lr": 2e-05, "memory": 17837, "data_time": 0.00539, "decode.loss_seg": 0.26052, "decode.acc_seg": 72.35718, "aux.loss_seg": 0.20264, "aux.acc_seg": 65.70897, "loss": 0.46316, "time": 0.40205} -{"mode": "train", "epoch": 89, "iter": 112250, "lr": 2e-05, "memory": 17837, "data_time": 0.00533, "decode.loss_seg": 0.26805, "decode.acc_seg": 72.03682, "aux.loss_seg": 0.21068, "aux.acc_seg": 65.34692, "loss": 0.47873, "time": 0.41082} -{"mode": "train", "epoch": 89, "iter": 112300, "lr": 2e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.26238, "decode.acc_seg": 72.23785, "aux.loss_seg": 0.19758, "aux.acc_seg": 66.11143, "loss": 0.45996, "time": 0.40019} -{"mode": "train", "epoch": 89, "iter": 112350, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.26316, "decode.acc_seg": 72.43347, "aux.loss_seg": 0.20769, "aux.acc_seg": 65.57346, "loss": 0.47085, "time": 0.41954} -{"mode": "train", "epoch": 89, "iter": 112400, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.27596, "decode.acc_seg": 72.16587, "aux.loss_seg": 0.20798, "aux.acc_seg": 65.75189, "loss": 0.48394, "time": 0.40474} -{"mode": "train", "epoch": 90, "iter": 112450, "lr": 2e-05, "memory": 17837, "data_time": 0.24322, "decode.loss_seg": 0.27071, "decode.acc_seg": 72.72834, "aux.loss_seg": 0.20661, "aux.acc_seg": 66.23291, "loss": 0.47731, "time": 0.6321} -{"mode": "train", "epoch": 90, "iter": 112500, "lr": 2e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.26047, "decode.acc_seg": 72.39672, "aux.loss_seg": 0.2112, "aux.acc_seg": 65.32852, "loss": 0.47167, "time": 0.39304} -{"mode": "train", "epoch": 90, "iter": 112550, "lr": 2e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24335, "decode.acc_seg": 73.0102, "aux.loss_seg": 0.19101, "aux.acc_seg": 66.61267, "loss": 0.43437, "time": 0.39632} -{"mode": "train", "epoch": 90, "iter": 112600, "lr": 2e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.27507, "decode.acc_seg": 72.56939, "aux.loss_seg": 0.21165, "aux.acc_seg": 65.8347, "loss": 0.48672, "time": 0.41204} -{"mode": "train", "epoch": 90, "iter": 112650, "lr": 2e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.25599, "decode.acc_seg": 73.41922, "aux.loss_seg": 0.2017, "aux.acc_seg": 66.64156, "loss": 0.45769, "time": 0.41065} -{"mode": "train", "epoch": 90, "iter": 112700, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.26967, "decode.acc_seg": 71.6899, "aux.loss_seg": 0.20504, "aux.acc_seg": 65.1372, "loss": 0.47471, "time": 0.40941} -{"mode": "train", "epoch": 90, "iter": 112750, "lr": 2e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.24849, "decode.acc_seg": 70.85944, "aux.loss_seg": 0.19767, "aux.acc_seg": 64.30762, "loss": 0.44616, "time": 0.4065} -{"mode": "train", "epoch": 90, "iter": 112800, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.26947, "decode.acc_seg": 71.81006, "aux.loss_seg": 0.20197, "aux.acc_seg": 65.7926, "loss": 0.47143, "time": 0.40443} -{"mode": "train", "epoch": 90, "iter": 112850, "lr": 2e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.26802, "decode.acc_seg": 73.63355, "aux.loss_seg": 0.21512, "aux.acc_seg": 66.44019, "loss": 0.48314, "time": 0.39688} -{"mode": "train", "epoch": 90, "iter": 112900, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.25089, "decode.acc_seg": 72.11607, "aux.loss_seg": 0.19396, "aux.acc_seg": 66.38641, "loss": 0.44485, "time": 0.4029} -{"mode": "train", "epoch": 90, "iter": 112950, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27162, "decode.acc_seg": 72.8485, "aux.loss_seg": 0.2064, "aux.acc_seg": 66.48838, "loss": 0.47802, "time": 0.39447} -{"mode": "train", "epoch": 90, "iter": 113000, "lr": 2e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.25694, "decode.acc_seg": 71.04078, "aux.loss_seg": 0.20188, "aux.acc_seg": 64.65882, "loss": 0.45881, "time": 0.3977} -{"mode": "train", "epoch": 90, "iter": 113050, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.25817, "decode.acc_seg": 71.48759, "aux.loss_seg": 0.20086, "aux.acc_seg": 64.95214, "loss": 0.45903, "time": 0.41214} -{"mode": "train", "epoch": 90, "iter": 113100, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.26246, "decode.acc_seg": 71.42737, "aux.loss_seg": 0.1983, "aux.acc_seg": 65.09608, "loss": 0.46077, "time": 0.4104} -{"mode": "train", "epoch": 90, "iter": 113150, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.26755, "decode.acc_seg": 72.1911, "aux.loss_seg": 0.19838, "aux.acc_seg": 66.214, "loss": 0.46594, "time": 0.39218} -{"mode": "train", "epoch": 90, "iter": 113200, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.25698, "decode.acc_seg": 71.90579, "aux.loss_seg": 0.20989, "aux.acc_seg": 64.79233, "loss": 0.46687, "time": 0.395} -{"mode": "train", "epoch": 90, "iter": 113250, "lr": 2e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.2628, "decode.acc_seg": 72.1083, "aux.loss_seg": 0.20963, "aux.acc_seg": 65.32207, "loss": 0.47243, "time": 0.39803} -{"mode": "train", "epoch": 90, "iter": 113300, "lr": 2e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.27157, "decode.acc_seg": 72.40658, "aux.loss_seg": 0.20609, "aux.acc_seg": 66.1155, "loss": 0.47766, "time": 0.40508} -{"mode": "train", "epoch": 90, "iter": 113350, "lr": 2e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.26084, "decode.acc_seg": 71.60309, "aux.loss_seg": 0.20373, "aux.acc_seg": 64.97246, "loss": 0.46457, "time": 0.402} -{"mode": "train", "epoch": 90, "iter": 113400, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25957, "decode.acc_seg": 73.34135, "aux.loss_seg": 0.20609, "aux.acc_seg": 66.30981, "loss": 0.46566, "time": 0.39495} -{"mode": "train", "epoch": 90, "iter": 113450, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.26949, "decode.acc_seg": 72.00728, "aux.loss_seg": 0.20491, "aux.acc_seg": 65.46899, "loss": 0.47441, "time": 0.39331} -{"mode": "train", "epoch": 90, "iter": 113500, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.26449, "decode.acc_seg": 72.3427, "aux.loss_seg": 0.20037, "aux.acc_seg": 66.04839, "loss": 0.46486, "time": 0.39916} -{"mode": "train", "epoch": 90, "iter": 113550, "lr": 2e-05, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.2698, "decode.acc_seg": 71.94092, "aux.loss_seg": 0.20496, "aux.acc_seg": 65.43728, "loss": 0.47477, "time": 0.40606} -{"mode": "train", "epoch": 90, "iter": 113600, "lr": 2e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.26088, "decode.acc_seg": 72.14403, "aux.loss_seg": 0.20328, "aux.acc_seg": 65.76478, "loss": 0.46416, "time": 0.39962} -{"mode": "train", "epoch": 90, "iter": 113650, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.26586, "decode.acc_seg": 71.73454, "aux.loss_seg": 0.2016, "aux.acc_seg": 65.53771, "loss": 0.46746, "time": 0.40195} -{"mode": "train", "epoch": 91, "iter": 113700, "lr": 2e-05, "memory": 17837, "data_time": 0.24372, "decode.loss_seg": 0.25312, "decode.acc_seg": 73.11267, "aux.loss_seg": 0.19229, "aux.acc_seg": 66.91159, "loss": 0.44541, "time": 0.63456} -{"mode": "train", "epoch": 91, "iter": 113750, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.26764, "decode.acc_seg": 72.00708, "aux.loss_seg": 0.21101, "aux.acc_seg": 65.24388, "loss": 0.47865, "time": 0.41023} -{"mode": "train", "epoch": 91, "iter": 113800, "lr": 2e-05, "memory": 17837, "data_time": 0.0057, "decode.loss_seg": 0.26402, "decode.acc_seg": 72.08461, "aux.loss_seg": 0.20381, "aux.acc_seg": 65.48899, "loss": 0.46784, "time": 0.42349} -{"mode": "train", "epoch": 91, "iter": 113850, "lr": 2e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.25452, "decode.acc_seg": 73.01318, "aux.loss_seg": 0.19926, "aux.acc_seg": 66.76893, "loss": 0.45378, "time": 0.40701} -{"mode": "train", "epoch": 91, "iter": 113900, "lr": 2e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25683, "decode.acc_seg": 71.05747, "aux.loss_seg": 0.19863, "aux.acc_seg": 64.11771, "loss": 0.45546, "time": 0.40235} -{"mode": "train", "epoch": 91, "iter": 113950, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25515, "decode.acc_seg": 71.98504, "aux.loss_seg": 0.19699, "aux.acc_seg": 65.39294, "loss": 0.45214, "time": 0.3974} -{"mode": "train", "epoch": 91, "iter": 114000, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.25705, "decode.acc_seg": 71.66851, "aux.loss_seg": 0.20247, "aux.acc_seg": 64.9938, "loss": 0.45952, "time": 0.4115} -{"mode": "train", "epoch": 91, "iter": 114050, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.26425, "decode.acc_seg": 71.84628, "aux.loss_seg": 0.2079, "aux.acc_seg": 65.08413, "loss": 0.47214, "time": 0.40259} -{"mode": "train", "epoch": 91, "iter": 114100, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.27711, "decode.acc_seg": 72.61956, "aux.loss_seg": 0.2221, "aux.acc_seg": 65.46999, "loss": 0.4992, "time": 0.39651} -{"mode": "train", "epoch": 91, "iter": 114150, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26453, "decode.acc_seg": 70.97055, "aux.loss_seg": 0.20512, "aux.acc_seg": 64.63833, "loss": 0.46965, "time": 0.39385} -{"mode": "train", "epoch": 91, "iter": 114200, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.25443, "decode.acc_seg": 72.25632, "aux.loss_seg": 0.20342, "aux.acc_seg": 65.41114, "loss": 0.45785, "time": 0.39715} -{"mode": "train", "epoch": 91, "iter": 114250, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25696, "decode.acc_seg": 71.30509, "aux.loss_seg": 0.19187, "aux.acc_seg": 65.5837, "loss": 0.44883, "time": 0.40781} -{"mode": "train", "epoch": 91, "iter": 114300, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.26993, "decode.acc_seg": 71.12748, "aux.loss_seg": 0.19936, "aux.acc_seg": 65.04405, "loss": 0.46928, "time": 0.39309} -{"mode": "train", "epoch": 91, "iter": 114350, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.2559, "decode.acc_seg": 72.58085, "aux.loss_seg": 0.1938, "aux.acc_seg": 66.56896, "loss": 0.4497, "time": 0.39533} -{"mode": "train", "epoch": 91, "iter": 114400, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24941, "decode.acc_seg": 72.21765, "aux.loss_seg": 0.19481, "aux.acc_seg": 65.69695, "loss": 0.44422, "time": 0.39331} -{"mode": "train", "epoch": 91, "iter": 114450, "lr": 2e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.26294, "decode.acc_seg": 71.6718, "aux.loss_seg": 0.20297, "aux.acc_seg": 65.28832, "loss": 0.46591, "time": 0.41049} -{"mode": "train", "epoch": 91, "iter": 114500, "lr": 2e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.26618, "decode.acc_seg": 72.08605, "aux.loss_seg": 0.2027, "aux.acc_seg": 65.86133, "loss": 0.46888, "time": 0.39694} -{"mode": "train", "epoch": 91, "iter": 114550, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.25673, "decode.acc_seg": 73.86263, "aux.loss_seg": 0.20236, "aux.acc_seg": 67.38241, "loss": 0.45909, "time": 0.3957} -{"mode": "train", "epoch": 91, "iter": 114600, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24766, "decode.acc_seg": 72.60107, "aux.loss_seg": 0.19616, "aux.acc_seg": 65.94061, "loss": 0.44382, "time": 0.39836} -{"mode": "train", "epoch": 91, "iter": 114650, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.25718, "decode.acc_seg": 72.66039, "aux.loss_seg": 0.2026, "aux.acc_seg": 65.79286, "loss": 0.45978, "time": 0.40995} -{"mode": "train", "epoch": 91, "iter": 114700, "lr": 2e-05, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.25715, "decode.acc_seg": 72.2186, "aux.loss_seg": 0.20101, "aux.acc_seg": 65.43083, "loss": 0.45816, "time": 0.41314} -{"mode": "train", "epoch": 91, "iter": 114750, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27468, "decode.acc_seg": 70.53923, "aux.loss_seg": 0.20571, "aux.acc_seg": 64.53584, "loss": 0.48039, "time": 0.39398} -{"mode": "train", "epoch": 91, "iter": 114800, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25763, "decode.acc_seg": 72.65541, "aux.loss_seg": 0.19515, "aux.acc_seg": 66.31156, "loss": 0.45279, "time": 0.3961} -{"mode": "train", "epoch": 91, "iter": 114850, "lr": 2e-05, "memory": 17837, "data_time": 0.00661, "decode.loss_seg": 0.25977, "decode.acc_seg": 71.04844, "aux.loss_seg": 0.19946, "aux.acc_seg": 64.60999, "loss": 0.45923, "time": 0.39686} -{"mode": "train", "epoch": 91, "iter": 114900, "lr": 2e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.26567, "decode.acc_seg": 72.65417, "aux.loss_seg": 0.21549, "aux.acc_seg": 65.58339, "loss": 0.48115, "time": 0.41357} -{"mode": "train", "epoch": 92, "iter": 114950, "lr": 2e-05, "memory": 17837, "data_time": 0.24194, "decode.loss_seg": 0.25531, "decode.acc_seg": 72.83587, "aux.loss_seg": 0.1924, "aux.acc_seg": 66.83406, "loss": 0.44771, "time": 0.6518} -{"mode": "train", "epoch": 92, "iter": 115000, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.25124, "decode.acc_seg": 72.33596, "aux.loss_seg": 0.19741, "aux.acc_seg": 65.61077, "loss": 0.44866, "time": 0.40209} -{"mode": "train", "epoch": 92, "iter": 115050, "lr": 2e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.25811, "decode.acc_seg": 72.1459, "aux.loss_seg": 0.20342, "aux.acc_seg": 65.47195, "loss": 0.46152, "time": 0.39491} -{"mode": "train", "epoch": 92, "iter": 115100, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.26323, "decode.acc_seg": 71.60862, "aux.loss_seg": 0.20418, "aux.acc_seg": 65.15383, "loss": 0.46741, "time": 0.39701} -{"mode": "train", "epoch": 92, "iter": 115150, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25564, "decode.acc_seg": 71.53811, "aux.loss_seg": 0.19864, "aux.acc_seg": 65.04072, "loss": 0.45429, "time": 0.40232} -{"mode": "train", "epoch": 92, "iter": 115200, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25046, "decode.acc_seg": 72.07957, "aux.loss_seg": 0.19021, "aux.acc_seg": 66.25164, "loss": 0.44067, "time": 0.40752} -{"mode": "train", "epoch": 92, "iter": 115250, "lr": 2e-05, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.24776, "decode.acc_seg": 73.92338, "aux.loss_seg": 0.19312, "aux.acc_seg": 67.62749, "loss": 0.44088, "time": 0.39863} -{"mode": "train", "epoch": 92, "iter": 115300, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.26501, "decode.acc_seg": 72.66537, "aux.loss_seg": 0.21046, "aux.acc_seg": 65.8025, "loss": 0.47547, "time": 0.39318} -{"mode": "train", "epoch": 92, "iter": 115350, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.2579, "decode.acc_seg": 71.8378, "aux.loss_seg": 0.1929, "aux.acc_seg": 65.79506, "loss": 0.4508, "time": 0.39503} -{"mode": "train", "epoch": 92, "iter": 115400, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.27062, "decode.acc_seg": 72.53206, "aux.loss_seg": 0.20333, "aux.acc_seg": 66.53862, "loss": 0.47395, "time": 0.39715} -{"mode": "train", "epoch": 92, "iter": 115450, "lr": 2e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.28433, "decode.acc_seg": 72.56086, "aux.loss_seg": 0.21707, "aux.acc_seg": 65.77097, "loss": 0.5014, "time": 0.39167} -{"mode": "train", "epoch": 92, "iter": 115500, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24259, "decode.acc_seg": 73.34729, "aux.loss_seg": 0.18955, "aux.acc_seg": 67.41424, "loss": 0.43214, "time": 0.41142} -{"mode": "train", "epoch": 92, "iter": 115550, "lr": 2e-05, "memory": 17837, "data_time": 0.00568, "decode.loss_seg": 0.26494, "decode.acc_seg": 72.00879, "aux.loss_seg": 0.20859, "aux.acc_seg": 65.0164, "loss": 0.47353, "time": 0.41991} -{"mode": "train", "epoch": 92, "iter": 115600, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25798, "decode.acc_seg": 72.65382, "aux.loss_seg": 0.20988, "aux.acc_seg": 65.34463, "loss": 0.46787, "time": 0.40859} -{"mode": "train", "epoch": 92, "iter": 115650, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.25185, "decode.acc_seg": 71.48075, "aux.loss_seg": 0.20343, "aux.acc_seg": 64.53652, "loss": 0.45528, "time": 0.41193} -{"mode": "train", "epoch": 92, "iter": 115700, "lr": 2e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.28, "decode.acc_seg": 72.50446, "aux.loss_seg": 0.21534, "aux.acc_seg": 65.52864, "loss": 0.49534, "time": 0.39968} -{"mode": "train", "epoch": 92, "iter": 115750, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26242, "decode.acc_seg": 72.85475, "aux.loss_seg": 0.1998, "aux.acc_seg": 66.4993, "loss": 0.46222, "time": 0.39798} -{"mode": "train", "epoch": 92, "iter": 115800, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.27264, "decode.acc_seg": 72.86797, "aux.loss_seg": 0.21043, "aux.acc_seg": 66.1428, "loss": 0.48307, "time": 0.39619} -{"mode": "train", "epoch": 92, "iter": 115850, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.24656, "decode.acc_seg": 72.62514, "aux.loss_seg": 0.19289, "aux.acc_seg": 66.40548, "loss": 0.43945, "time": 0.39617} -{"mode": "train", "epoch": 92, "iter": 115900, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.27981, "decode.acc_seg": 72.18685, "aux.loss_seg": 0.20801, "aux.acc_seg": 65.9428, "loss": 0.48782, "time": 0.39623} -{"mode": "train", "epoch": 92, "iter": 115950, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.26643, "decode.acc_seg": 73.48265, "aux.loss_seg": 0.20706, "aux.acc_seg": 66.82085, "loss": 0.4735, "time": 0.40593} -{"mode": "train", "epoch": 92, "iter": 116000, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.25971, "decode.acc_seg": 72.95546, "aux.loss_seg": 0.20146, "aux.acc_seg": 66.46611, "loss": 0.46116, "time": 0.40522} -{"mode": "train", "epoch": 92, "iter": 116050, "lr": 2e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.26356, "decode.acc_seg": 73.12818, "aux.loss_seg": 0.20187, "aux.acc_seg": 66.67891, "loss": 0.46544, "time": 0.40338} -{"mode": "train", "epoch": 92, "iter": 116100, "lr": 2e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.26791, "decode.acc_seg": 72.40342, "aux.loss_seg": 0.205, "aux.acc_seg": 65.87243, "loss": 0.47291, "time": 0.39408} -{"mode": "train", "epoch": 92, "iter": 116150, "lr": 2e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25823, "decode.acc_seg": 73.01969, "aux.loss_seg": 0.20128, "aux.acc_seg": 66.4721, "loss": 0.45951, "time": 0.39332} -{"mode": "train", "epoch": 93, "iter": 116200, "lr": 2e-05, "memory": 17837, "data_time": 0.2443, "decode.loss_seg": 0.25012, "decode.acc_seg": 70.92006, "aux.loss_seg": 0.20285, "aux.acc_seg": 64.10437, "loss": 0.45297, "time": 0.63082} -{"mode": "train", "epoch": 93, "iter": 116250, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.25728, "decode.acc_seg": 72.51673, "aux.loss_seg": 0.20676, "aux.acc_seg": 65.49631, "loss": 0.46404, "time": 0.39289} -{"mode": "train", "epoch": 93, "iter": 116300, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.24543, "decode.acc_seg": 73.07814, "aux.loss_seg": 0.18947, "aux.acc_seg": 67.09433, "loss": 0.4349, "time": 0.40477} -{"mode": "train", "epoch": 93, "iter": 116350, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26189, "decode.acc_seg": 72.08124, "aux.loss_seg": 0.19739, "aux.acc_seg": 65.9059, "loss": 0.45927, "time": 0.40752} -{"mode": "train", "epoch": 93, "iter": 116400, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.26024, "decode.acc_seg": 72.35472, "aux.loss_seg": 0.20373, "aux.acc_seg": 65.58016, "loss": 0.46397, "time": 0.40747} -{"mode": "train", "epoch": 93, "iter": 116450, "lr": 2e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.25224, "decode.acc_seg": 72.83984, "aux.loss_seg": 0.19558, "aux.acc_seg": 66.62858, "loss": 0.44782, "time": 0.40516} -{"mode": "train", "epoch": 93, "iter": 116500, "lr": 2e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.25857, "decode.acc_seg": 72.70421, "aux.loss_seg": 0.2, "aux.acc_seg": 66.42651, "loss": 0.45857, "time": 0.41466} -{"mode": "train", "epoch": 93, "iter": 116550, "lr": 2e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.25328, "decode.acc_seg": 72.44133, "aux.loss_seg": 0.19484, "aux.acc_seg": 66.16381, "loss": 0.44812, "time": 0.4156} -{"mode": "train", "epoch": 93, "iter": 116600, "lr": 2e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.26553, "decode.acc_seg": 71.7547, "aux.loss_seg": 0.21184, "aux.acc_seg": 64.6072, "loss": 0.47737, "time": 0.41614} -{"mode": "train", "epoch": 93, "iter": 116650, "lr": 2e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.27858, "decode.acc_seg": 73.35293, "aux.loss_seg": 0.21674, "aux.acc_seg": 66.52793, "loss": 0.49532, "time": 0.41202} -{"mode": "train", "epoch": 93, "iter": 116700, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.26899, "decode.acc_seg": 73.90074, "aux.loss_seg": 0.20595, "aux.acc_seg": 67.43177, "loss": 0.47494, "time": 0.39444} -{"mode": "train", "epoch": 93, "iter": 116750, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24991, "decode.acc_seg": 69.52129, "aux.loss_seg": 0.19542, "aux.acc_seg": 63.18434, "loss": 0.44533, "time": 0.40633} -{"mode": "train", "epoch": 93, "iter": 116800, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.25441, "decode.acc_seg": 73.64683, "aux.loss_seg": 0.20241, "aux.acc_seg": 66.67964, "loss": 0.45682, "time": 0.4031} -{"mode": "train", "epoch": 93, "iter": 116850, "lr": 2e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.25283, "decode.acc_seg": 72.1791, "aux.loss_seg": 0.19364, "aux.acc_seg": 66.16056, "loss": 0.44647, "time": 0.40044} -{"mode": "train", "epoch": 93, "iter": 116900, "lr": 2e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.26369, "decode.acc_seg": 72.32161, "aux.loss_seg": 0.20887, "aux.acc_seg": 65.32209, "loss": 0.47255, "time": 0.40811} -{"mode": "train", "epoch": 93, "iter": 116950, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24511, "decode.acc_seg": 71.29649, "aux.loss_seg": 0.19674, "aux.acc_seg": 64.64121, "loss": 0.44185, "time": 0.39492} -{"mode": "train", "epoch": 93, "iter": 117000, "lr": 2e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.27043, "decode.acc_seg": 72.82248, "aux.loss_seg": 0.21115, "aux.acc_seg": 66.05875, "loss": 0.48159, "time": 0.39347} -{"mode": "train", "epoch": 93, "iter": 117050, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.25758, "decode.acc_seg": 73.27175, "aux.loss_seg": 0.2021, "aux.acc_seg": 66.52532, "loss": 0.45968, "time": 0.39763} -{"mode": "train", "epoch": 93, "iter": 117100, "lr": 2e-05, "memory": 17837, "data_time": 0.00695, "decode.loss_seg": 0.25515, "decode.acc_seg": 71.91747, "aux.loss_seg": 0.19393, "aux.acc_seg": 66.02918, "loss": 0.44908, "time": 0.41698} -{"mode": "train", "epoch": 93, "iter": 117150, "lr": 2e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.24652, "decode.acc_seg": 73.22572, "aux.loss_seg": 0.19455, "aux.acc_seg": 66.60427, "loss": 0.44107, "time": 0.39455} -{"mode": "train", "epoch": 93, "iter": 117200, "lr": 2e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.25017, "decode.acc_seg": 72.46737, "aux.loss_seg": 0.19605, "aux.acc_seg": 65.92189, "loss": 0.44622, "time": 0.39823} -{"mode": "train", "epoch": 93, "iter": 117250, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.25969, "decode.acc_seg": 71.73114, "aux.loss_seg": 0.19436, "aux.acc_seg": 65.60837, "loss": 0.45405, "time": 0.39653} -{"mode": "train", "epoch": 93, "iter": 117300, "lr": 2e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.25485, "decode.acc_seg": 72.37139, "aux.loss_seg": 0.19809, "aux.acc_seg": 66.14653, "loss": 0.45295, "time": 0.39604} -{"mode": "train", "epoch": 93, "iter": 117350, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25547, "decode.acc_seg": 70.9537, "aux.loss_seg": 0.20439, "aux.acc_seg": 64.14553, "loss": 0.45986, "time": 0.39679} -{"mode": "train", "epoch": 93, "iter": 117400, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.27861, "decode.acc_seg": 71.26559, "aux.loss_seg": 0.21292, "aux.acc_seg": 64.71683, "loss": 0.49153, "time": 0.39443} -{"mode": "train", "epoch": 93, "iter": 117450, "lr": 2e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.26805, "decode.acc_seg": 72.13118, "aux.loss_seg": 0.21556, "aux.acc_seg": 64.75749, "loss": 0.48361, "time": 0.39543} -{"mode": "train", "epoch": 94, "iter": 117500, "lr": 2e-05, "memory": 17837, "data_time": 0.23965, "decode.loss_seg": 0.26294, "decode.acc_seg": 71.55539, "aux.loss_seg": 0.20198, "aux.acc_seg": 65.19436, "loss": 0.46491, "time": 0.6231} -{"mode": "train", "epoch": 94, "iter": 117550, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.24985, "decode.acc_seg": 71.10871, "aux.loss_seg": 0.19689, "aux.acc_seg": 64.54031, "loss": 0.44673, "time": 0.39872} -{"mode": "train", "epoch": 94, "iter": 117600, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26318, "decode.acc_seg": 72.04857, "aux.loss_seg": 0.21053, "aux.acc_seg": 64.67469, "loss": 0.47371, "time": 0.39306} -{"mode": "train", "epoch": 94, "iter": 117650, "lr": 2e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24967, "decode.acc_seg": 71.24219, "aux.loss_seg": 0.19293, "aux.acc_seg": 64.97072, "loss": 0.4426, "time": 0.39681} -{"mode": "train", "epoch": 94, "iter": 117700, "lr": 2e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.25628, "decode.acc_seg": 73.41452, "aux.loss_seg": 0.20055, "aux.acc_seg": 66.92948, "loss": 0.45683, "time": 0.39786} -{"mode": "train", "epoch": 94, "iter": 117750, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.24511, "decode.acc_seg": 72.23688, "aux.loss_seg": 0.19748, "aux.acc_seg": 65.82969, "loss": 0.44259, "time": 0.40403} -{"mode": "train", "epoch": 94, "iter": 117800, "lr": 2e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.26245, "decode.acc_seg": 72.90633, "aux.loss_seg": 0.20384, "aux.acc_seg": 66.48114, "loss": 0.46629, "time": 0.39771} -{"mode": "train", "epoch": 94, "iter": 117850, "lr": 2e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.26465, "decode.acc_seg": 72.6432, "aux.loss_seg": 0.20563, "aux.acc_seg": 66.06112, "loss": 0.47028, "time": 0.41355} -{"mode": "train", "epoch": 94, "iter": 117900, "lr": 2e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.2636, "decode.acc_seg": 72.98371, "aux.loss_seg": 0.19832, "aux.acc_seg": 66.88312, "loss": 0.46192, "time": 0.40459} -{"mode": "train", "epoch": 94, "iter": 117950, "lr": 2e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.24992, "decode.acc_seg": 71.52925, "aux.loss_seg": 0.19676, "aux.acc_seg": 65.12489, "loss": 0.44667, "time": 0.39982} -{"mode": "train", "epoch": 94, "iter": 118000, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.26336, "decode.acc_seg": 71.84241, "aux.loss_seg": 0.20104, "aux.acc_seg": 65.44878, "loss": 0.46441, "time": 0.39647} -{"mode": "train", "epoch": 94, "iter": 118050, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25668, "decode.acc_seg": 72.34351, "aux.loss_seg": 0.19901, "aux.acc_seg": 65.73494, "loss": 0.45568, "time": 0.39798} -{"mode": "train", "epoch": 94, "iter": 118100, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25544, "decode.acc_seg": 72.86505, "aux.loss_seg": 0.19835, "aux.acc_seg": 66.2826, "loss": 0.45379, "time": 0.40325} -{"mode": "train", "epoch": 94, "iter": 118150, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25758, "decode.acc_seg": 71.36052, "aux.loss_seg": 0.19648, "aux.acc_seg": 64.98847, "loss": 0.45406, "time": 0.41095} -{"mode": "train", "epoch": 94, "iter": 118200, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.26539, "decode.acc_seg": 70.54631, "aux.loss_seg": 0.20948, "aux.acc_seg": 63.53832, "loss": 0.47487, "time": 0.40664} -{"mode": "train", "epoch": 94, "iter": 118250, "lr": 2e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.26607, "decode.acc_seg": 72.2424, "aux.loss_seg": 0.20007, "aux.acc_seg": 66.11869, "loss": 0.46613, "time": 0.39446} -{"mode": "train", "epoch": 94, "iter": 118300, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25005, "decode.acc_seg": 72.70892, "aux.loss_seg": 0.19807, "aux.acc_seg": 66.01704, "loss": 0.44812, "time": 0.39471} -{"mode": "train", "epoch": 94, "iter": 118350, "lr": 2e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25779, "decode.acc_seg": 71.37601, "aux.loss_seg": 0.19253, "aux.acc_seg": 65.4738, "loss": 0.45031, "time": 0.39238} -{"mode": "train", "epoch": 94, "iter": 118400, "lr": 2e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.26061, "decode.acc_seg": 72.47362, "aux.loss_seg": 0.20541, "aux.acc_seg": 65.8113, "loss": 0.46602, "time": 0.39532} -{"mode": "train", "epoch": 94, "iter": 118450, "lr": 2e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.25819, "decode.acc_seg": 73.67528, "aux.loss_seg": 0.20627, "aux.acc_seg": 66.89441, "loss": 0.46446, "time": 0.40012} -{"mode": "train", "epoch": 94, "iter": 118500, "lr": 2e-05, "memory": 17837, "data_time": 0.00709, "decode.loss_seg": 0.25821, "decode.acc_seg": 71.3841, "aux.loss_seg": 0.20756, "aux.acc_seg": 64.43417, "loss": 0.46576, "time": 0.40717} -{"mode": "train", "epoch": 94, "iter": 118550, "lr": 2e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.27293, "decode.acc_seg": 73.39661, "aux.loss_seg": 0.21555, "aux.acc_seg": 66.35784, "loss": 0.48848, "time": 0.40365} -{"mode": "train", "epoch": 94, "iter": 118600, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.26292, "decode.acc_seg": 71.90526, "aux.loss_seg": 0.20546, "aux.acc_seg": 65.27054, "loss": 0.46838, "time": 0.39738} -{"mode": "train", "epoch": 94, "iter": 118650, "lr": 2e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25672, "decode.acc_seg": 71.76854, "aux.loss_seg": 0.19881, "aux.acc_seg": 65.19222, "loss": 0.45553, "time": 0.39916} -{"mode": "train", "epoch": 94, "iter": 118700, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25483, "decode.acc_seg": 72.96817, "aux.loss_seg": 0.19898, "aux.acc_seg": 66.32212, "loss": 0.45381, "time": 0.39541} -{"mode": "train", "epoch": 95, "iter": 118750, "lr": 2e-05, "memory": 17837, "data_time": 0.24835, "decode.loss_seg": 0.2594, "decode.acc_seg": 71.75733, "aux.loss_seg": 0.20032, "aux.acc_seg": 65.30197, "loss": 0.45971, "time": 0.64754} -{"mode": "train", "epoch": 95, "iter": 118800, "lr": 2e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.26488, "decode.acc_seg": 73.70724, "aux.loss_seg": 0.20682, "aux.acc_seg": 66.78696, "loss": 0.4717, "time": 0.40905} -{"mode": "train", "epoch": 95, "iter": 118850, "lr": 2e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.25368, "decode.acc_seg": 73.5334, "aux.loss_seg": 0.19753, "aux.acc_seg": 67.11846, "loss": 0.45122, "time": 0.40368} -{"mode": "train", "epoch": 95, "iter": 118900, "lr": 2e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.25777, "decode.acc_seg": 73.33139, "aux.loss_seg": 0.20646, "aux.acc_seg": 66.5175, "loss": 0.46423, "time": 0.40103} -{"mode": "train", "epoch": 95, "iter": 118950, "lr": 2e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.25465, "decode.acc_seg": 71.42347, "aux.loss_seg": 0.20541, "aux.acc_seg": 64.33168, "loss": 0.46006, "time": 0.40843} -{"mode": "train", "epoch": 95, "iter": 119000, "lr": 2e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24963, "decode.acc_seg": 73.17296, "aux.loss_seg": 0.19444, "aux.acc_seg": 66.79417, "loss": 0.44408, "time": 0.40752} -{"mode": "train", "epoch": 95, "iter": 119050, "lr": 2e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2592, "decode.acc_seg": 73.83778, "aux.loss_seg": 0.20459, "aux.acc_seg": 67.06277, "loss": 0.46379, "time": 0.40571} -{"mode": "train", "epoch": 95, "iter": 119100, "lr": 2e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.25694, "decode.acc_seg": 71.71731, "aux.loss_seg": 0.19594, "aux.acc_seg": 65.48834, "loss": 0.45289, "time": 0.40806} -{"mode": "train", "epoch": 95, "iter": 119150, "lr": 2e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.26751, "decode.acc_seg": 72.47616, "aux.loss_seg": 0.21056, "aux.acc_seg": 65.84756, "loss": 0.47807, "time": 0.39482} -{"mode": "train", "epoch": 95, "iter": 119200, "lr": 2e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24486, "decode.acc_seg": 71.47121, "aux.loss_seg": 0.18857, "aux.acc_seg": 65.30155, "loss": 0.43343, "time": 0.39698} -{"mode": "train", "epoch": 95, "iter": 119250, "lr": 2e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.24587, "decode.acc_seg": 72.18696, "aux.loss_seg": 0.19445, "aux.acc_seg": 65.80441, "loss": 0.44032, "time": 0.39567} -{"mode": "train", "epoch": 95, "iter": 119300, "lr": 2e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.25206, "decode.acc_seg": 72.25595, "aux.loss_seg": 0.1912, "aux.acc_seg": 66.43627, "loss": 0.44326, "time": 0.39884} -{"mode": "train", "epoch": 95, "iter": 119350, "lr": 2e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.25413, "decode.acc_seg": 71.16064, "aux.loss_seg": 0.19647, "aux.acc_seg": 64.74524, "loss": 0.4506, "time": 0.41807} -{"mode": "train", "epoch": 95, "iter": 119400, "lr": 2e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25398, "decode.acc_seg": 71.60032, "aux.loss_seg": 0.20843, "aux.acc_seg": 64.4913, "loss": 0.46241, "time": 0.40015} -{"mode": "train", "epoch": 95, "iter": 119450, "lr": 2e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.25446, "decode.acc_seg": 71.92274, "aux.loss_seg": 0.20024, "aux.acc_seg": 65.42619, "loss": 0.45471, "time": 0.40014} -{"mode": "train", "epoch": 95, "iter": 119500, "lr": 2e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26522, "decode.acc_seg": 72.8169, "aux.loss_seg": 0.20731, "aux.acc_seg": 66.57059, "loss": 0.47253, "time": 0.39295} -{"mode": "train", "epoch": 95, "iter": 119550, "lr": 2e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26041, "decode.acc_seg": 72.92815, "aux.loss_seg": 0.2074, "aux.acc_seg": 65.84708, "loss": 0.46781, "time": 0.39277} -{"mode": "train", "epoch": 95, "iter": 119600, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.24598, "decode.acc_seg": 73.41195, "aux.loss_seg": 0.19663, "aux.acc_seg": 66.74947, "loss": 0.44262, "time": 0.40448} -{"mode": "train", "epoch": 95, "iter": 119650, "lr": 2e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25331, "decode.acc_seg": 72.73354, "aux.loss_seg": 0.19829, "aux.acc_seg": 66.23556, "loss": 0.4516, "time": 0.39274} -{"mode": "train", "epoch": 95, "iter": 119700, "lr": 2e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.25784, "decode.acc_seg": 73.29221, "aux.loss_seg": 0.20289, "aux.acc_seg": 66.53364, "loss": 0.46074, "time": 0.39282} -{"mode": "train", "epoch": 95, "iter": 119750, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.24336, "decode.acc_seg": 73.07961, "aux.loss_seg": 0.19541, "aux.acc_seg": 66.58779, "loss": 0.43877, "time": 0.39507} -{"mode": "train", "epoch": 95, "iter": 119800, "lr": 2e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.25972, "decode.acc_seg": 72.40885, "aux.loss_seg": 0.19847, "aux.acc_seg": 66.30906, "loss": 0.45818, "time": 0.40533} -{"mode": "train", "epoch": 95, "iter": 119850, "lr": 2e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.26001, "decode.acc_seg": 71.49832, "aux.loss_seg": 0.21186, "aux.acc_seg": 64.14971, "loss": 0.47188, "time": 0.40586} -{"mode": "train", "epoch": 95, "iter": 119900, "lr": 2e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.24968, "decode.acc_seg": 72.59757, "aux.loss_seg": 0.19822, "aux.acc_seg": 65.9319, "loss": 0.4479, "time": 0.40212} -{"mode": "train", "epoch": 95, "iter": 119950, "lr": 2e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25979, "decode.acc_seg": 72.74932, "aux.loss_seg": 0.20534, "aux.acc_seg": 65.81649, "loss": 0.46513, "time": 0.40864} -{"mode": "train", "epoch": 96, "iter": 120000, "lr": 2e-05, "memory": 17837, "data_time": 0.24277, "decode.loss_seg": 0.25801, "decode.acc_seg": 71.26523, "aux.loss_seg": 0.19904, "aux.acc_seg": 64.8518, "loss": 0.45705, "time": 0.63136} -{"mode": "train", "epoch": 96, "iter": 120050, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.2478, "decode.acc_seg": 71.98278, "aux.loss_seg": 0.19807, "aux.acc_seg": 65.29124, "loss": 0.44588, "time": 0.39717} -{"mode": "train", "epoch": 96, "iter": 120100, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.26887, "decode.acc_seg": 72.66319, "aux.loss_seg": 0.21685, "aux.acc_seg": 65.40392, "loss": 0.48572, "time": 0.4048} -{"mode": "train", "epoch": 96, "iter": 120150, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25358, "decode.acc_seg": 72.73259, "aux.loss_seg": 0.19651, "aux.acc_seg": 66.42228, "loss": 0.45009, "time": 0.40398} -{"mode": "train", "epoch": 96, "iter": 120200, "lr": 1e-05, "memory": 17837, "data_time": 0.00705, "decode.loss_seg": 0.25201, "decode.acc_seg": 72.88201, "aux.loss_seg": 0.20141, "aux.acc_seg": 66.07965, "loss": 0.45342, "time": 0.4105} -{"mode": "train", "epoch": 96, "iter": 120250, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.25175, "decode.acc_seg": 72.54707, "aux.loss_seg": 0.19603, "aux.acc_seg": 66.25801, "loss": 0.44778, "time": 0.41787} -{"mode": "train", "epoch": 96, "iter": 120300, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24348, "decode.acc_seg": 71.99846, "aux.loss_seg": 0.19207, "aux.acc_seg": 65.68085, "loss": 0.43556, "time": 0.39713} -{"mode": "train", "epoch": 96, "iter": 120350, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25314, "decode.acc_seg": 74.09579, "aux.loss_seg": 0.19993, "aux.acc_seg": 67.58584, "loss": 0.45307, "time": 0.39705} -{"mode": "train", "epoch": 96, "iter": 120400, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25161, "decode.acc_seg": 72.22455, "aux.loss_seg": 0.19496, "aux.acc_seg": 65.86952, "loss": 0.44657, "time": 0.3963} -{"mode": "train", "epoch": 96, "iter": 120450, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25103, "decode.acc_seg": 72.4859, "aux.loss_seg": 0.20178, "aux.acc_seg": 65.48607, "loss": 0.45282, "time": 0.39313} -{"mode": "train", "epoch": 96, "iter": 120500, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26652, "decode.acc_seg": 72.73879, "aux.loss_seg": 0.20663, "aux.acc_seg": 66.0704, "loss": 0.47315, "time": 0.39237} -{"mode": "train", "epoch": 96, "iter": 120550, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.27008, "decode.acc_seg": 74.18785, "aux.loss_seg": 0.21507, "aux.acc_seg": 67.32659, "loss": 0.48515, "time": 0.39153} -{"mode": "train", "epoch": 96, "iter": 120600, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24835, "decode.acc_seg": 72.92041, "aux.loss_seg": 0.19438, "aux.acc_seg": 66.5615, "loss": 0.44273, "time": 0.40367} -{"mode": "train", "epoch": 96, "iter": 120650, "lr": 1e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.26003, "decode.acc_seg": 72.6114, "aux.loss_seg": 0.2053, "aux.acc_seg": 65.26118, "loss": 0.46533, "time": 0.39348} -{"mode": "train", "epoch": 96, "iter": 120700, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25907, "decode.acc_seg": 71.51988, "aux.loss_seg": 0.21084, "aux.acc_seg": 64.51238, "loss": 0.46991, "time": 0.39429} -{"mode": "train", "epoch": 96, "iter": 120750, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24092, "decode.acc_seg": 71.89641, "aux.loss_seg": 0.19468, "aux.acc_seg": 65.18143, "loss": 0.4356, "time": 0.39656} -{"mode": "train", "epoch": 96, "iter": 120800, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.26055, "decode.acc_seg": 73.06777, "aux.loss_seg": 0.19508, "aux.acc_seg": 66.98668, "loss": 0.45563, "time": 0.41567} -{"mode": "train", "epoch": 96, "iter": 120850, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.26291, "decode.acc_seg": 73.20387, "aux.loss_seg": 0.19874, "aux.acc_seg": 67.07243, "loss": 0.46165, "time": 0.39587} -{"mode": "train", "epoch": 96, "iter": 120900, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.25875, "decode.acc_seg": 73.97051, "aux.loss_seg": 0.19863, "aux.acc_seg": 67.47559, "loss": 0.45738, "time": 0.39518} -{"mode": "train", "epoch": 96, "iter": 120950, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.25513, "decode.acc_seg": 72.81701, "aux.loss_seg": 0.20491, "aux.acc_seg": 65.82163, "loss": 0.46005, "time": 0.39439} -{"mode": "train", "epoch": 96, "iter": 121000, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.25334, "decode.acc_seg": 73.64848, "aux.loss_seg": 0.2019, "aux.acc_seg": 67.01378, "loss": 0.45525, "time": 0.39652} -{"mode": "train", "epoch": 96, "iter": 121050, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25533, "decode.acc_seg": 72.74845, "aux.loss_seg": 0.19817, "aux.acc_seg": 66.23493, "loss": 0.45349, "time": 0.41524} -{"mode": "train", "epoch": 96, "iter": 121100, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24969, "decode.acc_seg": 71.83091, "aux.loss_seg": 0.19908, "aux.acc_seg": 65.4253, "loss": 0.44877, "time": 0.4107} -{"mode": "train", "epoch": 96, "iter": 121150, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25216, "decode.acc_seg": 71.62331, "aux.loss_seg": 0.19452, "aux.acc_seg": 65.18244, "loss": 0.44668, "time": 0.40992} -{"mode": "train", "epoch": 96, "iter": 121200, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25014, "decode.acc_seg": 72.18228, "aux.loss_seg": 0.18683, "aux.acc_seg": 66.37757, "loss": 0.43697, "time": 0.39707} -{"mode": "train", "epoch": 97, "iter": 121250, "lr": 1e-05, "memory": 17837, "data_time": 0.24294, "decode.loss_seg": 0.24396, "decode.acc_seg": 72.5815, "aux.loss_seg": 0.19074, "aux.acc_seg": 66.41983, "loss": 0.4347, "time": 0.63177} -{"mode": "train", "epoch": 97, "iter": 121300, "lr": 1e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.24398, "decode.acc_seg": 71.79998, "aux.loss_seg": 0.19437, "aux.acc_seg": 65.32029, "loss": 0.43835, "time": 0.39869} -{"mode": "train", "epoch": 97, "iter": 121350, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.25434, "decode.acc_seg": 71.98134, "aux.loss_seg": 0.19812, "aux.acc_seg": 65.45359, "loss": 0.45246, "time": 0.39732} -{"mode": "train", "epoch": 97, "iter": 121400, "lr": 1e-05, "memory": 17837, "data_time": 0.00669, "decode.loss_seg": 0.24605, "decode.acc_seg": 73.03053, "aux.loss_seg": 0.195, "aux.acc_seg": 66.55533, "loss": 0.44105, "time": 0.39635} -{"mode": "train", "epoch": 97, "iter": 121450, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.25403, "decode.acc_seg": 73.4038, "aux.loss_seg": 0.19661, "aux.acc_seg": 66.87517, "loss": 0.45064, "time": 0.40401} -{"mode": "train", "epoch": 97, "iter": 121500, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.25153, "decode.acc_seg": 72.46985, "aux.loss_seg": 0.19762, "aux.acc_seg": 65.92349, "loss": 0.44915, "time": 0.39641} -{"mode": "train", "epoch": 97, "iter": 121550, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.24818, "decode.acc_seg": 73.19933, "aux.loss_seg": 0.18505, "aux.acc_seg": 67.55086, "loss": 0.43323, "time": 0.40066} -{"mode": "train", "epoch": 97, "iter": 121600, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.2563, "decode.acc_seg": 74.04749, "aux.loss_seg": 0.20231, "aux.acc_seg": 67.28782, "loss": 0.45861, "time": 0.39532} -{"mode": "train", "epoch": 97, "iter": 121650, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25257, "decode.acc_seg": 72.23044, "aux.loss_seg": 0.19811, "aux.acc_seg": 65.65719, "loss": 0.45068, "time": 0.39437} -{"mode": "train", "epoch": 97, "iter": 121700, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.24231, "decode.acc_seg": 72.71716, "aux.loss_seg": 0.19332, "aux.acc_seg": 66.10086, "loss": 0.43562, "time": 0.39547} -{"mode": "train", "epoch": 97, "iter": 121750, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.25206, "decode.acc_seg": 72.16498, "aux.loss_seg": 0.19917, "aux.acc_seg": 65.78284, "loss": 0.45123, "time": 0.41415} -{"mode": "train", "epoch": 97, "iter": 121800, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25227, "decode.acc_seg": 72.36268, "aux.loss_seg": 0.20409, "aux.acc_seg": 65.67915, "loss": 0.45636, "time": 0.39804} -{"mode": "train", "epoch": 97, "iter": 121850, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25092, "decode.acc_seg": 73.29776, "aux.loss_seg": 0.19733, "aux.acc_seg": 67.12012, "loss": 0.44825, "time": 0.39628} -{"mode": "train", "epoch": 97, "iter": 121900, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.25755, "decode.acc_seg": 73.42108, "aux.loss_seg": 0.20679, "aux.acc_seg": 66.36195, "loss": 0.46435, "time": 0.39548} -{"mode": "train", "epoch": 97, "iter": 121950, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.25214, "decode.acc_seg": 73.20892, "aux.loss_seg": 0.19497, "aux.acc_seg": 66.6704, "loss": 0.44711, "time": 0.41903} -{"mode": "train", "epoch": 97, "iter": 122000, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.25076, "decode.acc_seg": 72.65218, "aux.loss_seg": 0.19765, "aux.acc_seg": 65.86633, "loss": 0.44841, "time": 0.40953} -{"mode": "train", "epoch": 97, "iter": 122050, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25808, "decode.acc_seg": 72.32344, "aux.loss_seg": 0.20479, "aux.acc_seg": 65.50167, "loss": 0.46287, "time": 0.41227} -{"mode": "train", "epoch": 97, "iter": 122100, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.25124, "decode.acc_seg": 72.04278, "aux.loss_seg": 0.19691, "aux.acc_seg": 65.70214, "loss": 0.44815, "time": 0.41118} -{"mode": "train", "epoch": 97, "iter": 122150, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.25897, "decode.acc_seg": 71.93546, "aux.loss_seg": 0.19756, "aux.acc_seg": 65.73143, "loss": 0.45653, "time": 0.4082} -{"mode": "train", "epoch": 97, "iter": 122200, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24478, "decode.acc_seg": 73.55508, "aux.loss_seg": 0.19435, "aux.acc_seg": 67.05087, "loss": 0.43913, "time": 0.39557} -{"mode": "train", "epoch": 97, "iter": 122250, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.22799, "decode.acc_seg": 72.19184, "aux.loss_seg": 0.18563, "aux.acc_seg": 65.98626, "loss": 0.41362, "time": 0.39545} -{"mode": "train", "epoch": 97, "iter": 122300, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25706, "decode.acc_seg": 73.05976, "aux.loss_seg": 0.19212, "aux.acc_seg": 67.01841, "loss": 0.44919, "time": 0.40815} -{"mode": "train", "epoch": 97, "iter": 122350, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.26116, "decode.acc_seg": 70.70404, "aux.loss_seg": 0.20336, "aux.acc_seg": 64.21482, "loss": 0.46452, "time": 0.41312} -{"mode": "train", "epoch": 97, "iter": 122400, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.25637, "decode.acc_seg": 72.32349, "aux.loss_seg": 0.20054, "aux.acc_seg": 65.56863, "loss": 0.45691, "time": 0.39293} -{"mode": "train", "epoch": 97, "iter": 122450, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.26364, "decode.acc_seg": 71.43181, "aux.loss_seg": 0.2058, "aux.acc_seg": 64.70484, "loss": 0.46944, "time": 0.39985} -{"mode": "train", "epoch": 97, "iter": 122500, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24802, "decode.acc_seg": 71.86363, "aux.loss_seg": 0.19985, "aux.acc_seg": 65.34856, "loss": 0.44787, "time": 0.39758} -{"mode": "train", "epoch": 98, "iter": 122550, "lr": 1e-05, "memory": 17837, "data_time": 0.24293, "decode.loss_seg": 0.26308, "decode.acc_seg": 73.42306, "aux.loss_seg": 0.20887, "aux.acc_seg": 66.46174, "loss": 0.47195, "time": 0.64378} -{"mode": "train", "epoch": 98, "iter": 122600, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25673, "decode.acc_seg": 72.1934, "aux.loss_seg": 0.2007, "aux.acc_seg": 65.41913, "loss": 0.45743, "time": 0.41651} -{"mode": "train", "epoch": 98, "iter": 122650, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.24466, "decode.acc_seg": 72.01313, "aux.loss_seg": 0.18985, "aux.acc_seg": 65.7606, "loss": 0.43451, "time": 0.39684} -{"mode": "train", "epoch": 98, "iter": 122700, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.2569, "decode.acc_seg": 72.50372, "aux.loss_seg": 0.20113, "aux.acc_seg": 66.06267, "loss": 0.45803, "time": 0.39596} -{"mode": "train", "epoch": 98, "iter": 122750, "lr": 1e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.26221, "decode.acc_seg": 72.05096, "aux.loss_seg": 0.20485, "aux.acc_seg": 65.78493, "loss": 0.46705, "time": 0.39524} -{"mode": "train", "epoch": 98, "iter": 122800, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25427, "decode.acc_seg": 72.89618, "aux.loss_seg": 0.20038, "aux.acc_seg": 66.26366, "loss": 0.45465, "time": 0.4053} -{"mode": "train", "epoch": 98, "iter": 122850, "lr": 1e-05, "memory": 17837, "data_time": 0.00642, "decode.loss_seg": 0.25395, "decode.acc_seg": 73.70552, "aux.loss_seg": 0.1956, "aux.acc_seg": 67.48766, "loss": 0.44955, "time": 0.40582} -{"mode": "train", "epoch": 98, "iter": 122900, "lr": 1e-05, "memory": 17837, "data_time": 0.00696, "decode.loss_seg": 0.25673, "decode.acc_seg": 72.56625, "aux.loss_seg": 0.19997, "aux.acc_seg": 65.88651, "loss": 0.4567, "time": 0.41944} -{"mode": "train", "epoch": 98, "iter": 122950, "lr": 1e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.25465, "decode.acc_seg": 71.92618, "aux.loss_seg": 0.20295, "aux.acc_seg": 65.42709, "loss": 0.45759, "time": 0.41898} -{"mode": "train", "epoch": 98, "iter": 123000, "lr": 1e-05, "memory": 17837, "data_time": 0.00662, "decode.loss_seg": 0.258, "decode.acc_seg": 71.22363, "aux.loss_seg": 0.20363, "aux.acc_seg": 64.82514, "loss": 0.46163, "time": 0.41911} -{"mode": "train", "epoch": 98, "iter": 123050, "lr": 1e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.24485, "decode.acc_seg": 71.53557, "aux.loss_seg": 0.19631, "aux.acc_seg": 64.84057, "loss": 0.44116, "time": 0.41626} -{"mode": "train", "epoch": 98, "iter": 123100, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24742, "decode.acc_seg": 72.51588, "aux.loss_seg": 0.19154, "aux.acc_seg": 66.37816, "loss": 0.43896, "time": 0.39904} -{"mode": "train", "epoch": 98, "iter": 123150, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.2394, "decode.acc_seg": 71.72359, "aux.loss_seg": 0.18568, "aux.acc_seg": 65.54801, "loss": 0.42509, "time": 0.39538} -{"mode": "train", "epoch": 98, "iter": 123200, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.25174, "decode.acc_seg": 71.66749, "aux.loss_seg": 0.20531, "aux.acc_seg": 64.7467, "loss": 0.45706, "time": 0.3999} -{"mode": "train", "epoch": 98, "iter": 123250, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25371, "decode.acc_seg": 73.36727, "aux.loss_seg": 0.20443, "aux.acc_seg": 66.66396, "loss": 0.45814, "time": 0.39909} -{"mode": "train", "epoch": 98, "iter": 123300, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.25676, "decode.acc_seg": 71.86683, "aux.loss_seg": 0.19835, "aux.acc_seg": 65.55381, "loss": 0.4551, "time": 0.40541} -{"mode": "train", "epoch": 98, "iter": 123350, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25498, "decode.acc_seg": 71.68056, "aux.loss_seg": 0.19789, "aux.acc_seg": 65.34051, "loss": 0.45287, "time": 0.39308} -{"mode": "train", "epoch": 98, "iter": 123400, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23926, "decode.acc_seg": 72.29992, "aux.loss_seg": 0.18438, "aux.acc_seg": 66.40938, "loss": 0.42364, "time": 0.40025} -{"mode": "train", "epoch": 98, "iter": 123450, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25714, "decode.acc_seg": 74.03096, "aux.loss_seg": 0.20472, "aux.acc_seg": 67.18301, "loss": 0.46186, "time": 0.39442} -{"mode": "train", "epoch": 98, "iter": 123500, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25216, "decode.acc_seg": 72.42569, "aux.loss_seg": 0.20009, "aux.acc_seg": 65.97011, "loss": 0.45225, "time": 0.39456} -{"mode": "train", "epoch": 98, "iter": 123550, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25948, "decode.acc_seg": 72.33652, "aux.loss_seg": 0.20685, "aux.acc_seg": 65.64923, "loss": 0.46633, "time": 0.40017} -{"mode": "train", "epoch": 98, "iter": 123600, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23733, "decode.acc_seg": 72.47377, "aux.loss_seg": 0.18952, "aux.acc_seg": 66.31464, "loss": 0.42686, "time": 0.4038} -{"mode": "train", "epoch": 98, "iter": 123650, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.25304, "decode.acc_seg": 73.88599, "aux.loss_seg": 0.19916, "aux.acc_seg": 67.22548, "loss": 0.4522, "time": 0.41366} -{"mode": "train", "epoch": 98, "iter": 123700, "lr": 1e-05, "memory": 17837, "data_time": 0.00668, "decode.loss_seg": 0.25495, "decode.acc_seg": 72.70661, "aux.loss_seg": 0.20423, "aux.acc_seg": 65.68204, "loss": 0.45918, "time": 0.40873} -{"mode": "train", "epoch": 98, "iter": 123750, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.26979, "decode.acc_seg": 73.3959, "aux.loss_seg": 0.20453, "aux.acc_seg": 66.9945, "loss": 0.47432, "time": 0.39622} -{"mode": "train", "epoch": 99, "iter": 123800, "lr": 1e-05, "memory": 17837, "data_time": 0.24029, "decode.loss_seg": 0.26366, "decode.acc_seg": 72.71293, "aux.loss_seg": 0.20633, "aux.acc_seg": 65.74904, "loss": 0.46999, "time": 0.62727} -{"mode": "train", "epoch": 99, "iter": 123850, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25273, "decode.acc_seg": 73.14126, "aux.loss_seg": 0.19947, "aux.acc_seg": 66.3378, "loss": 0.4522, "time": 0.39532} -{"mode": "train", "epoch": 99, "iter": 123900, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24838, "decode.acc_seg": 73.79304, "aux.loss_seg": 0.19925, "aux.acc_seg": 66.91488, "loss": 0.44763, "time": 0.39539} -{"mode": "train", "epoch": 99, "iter": 123950, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.25224, "decode.acc_seg": 73.04727, "aux.loss_seg": 0.208, "aux.acc_seg": 66.02492, "loss": 0.46024, "time": 0.39982} -{"mode": "train", "epoch": 99, "iter": 124000, "lr": 1e-05, "memory": 17837, "data_time": 0.00693, "decode.loss_seg": 0.24637, "decode.acc_seg": 72.68365, "aux.loss_seg": 0.2022, "aux.acc_seg": 65.89692, "loss": 0.44857, "time": 0.41927} -{"mode": "train", "epoch": 99, "iter": 124050, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24473, "decode.acc_seg": 72.88856, "aux.loss_seg": 0.19927, "aux.acc_seg": 65.83859, "loss": 0.444, "time": 0.39796} -{"mode": "train", "epoch": 99, "iter": 124100, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.25677, "decode.acc_seg": 72.73776, "aux.loss_seg": 0.19253, "aux.acc_seg": 66.78275, "loss": 0.4493, "time": 0.40222} -{"mode": "train", "epoch": 99, "iter": 124150, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.24747, "decode.acc_seg": 72.93586, "aux.loss_seg": 0.19093, "aux.acc_seg": 66.70509, "loss": 0.4384, "time": 0.40417} -{"mode": "train", "epoch": 99, "iter": 124200, "lr": 1e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.26206, "decode.acc_seg": 71.57842, "aux.loss_seg": 0.20588, "aux.acc_seg": 64.88736, "loss": 0.46794, "time": 0.41959} -{"mode": "train", "epoch": 99, "iter": 124250, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.25747, "decode.acc_seg": 72.63962, "aux.loss_seg": 0.19601, "aux.acc_seg": 66.44474, "loss": 0.45348, "time": 0.41003} -{"mode": "train", "epoch": 99, "iter": 124300, "lr": 1e-05, "memory": 17837, "data_time": 0.00687, "decode.loss_seg": 0.24728, "decode.acc_seg": 71.7916, "aux.loss_seg": 0.19439, "aux.acc_seg": 65.30036, "loss": 0.44167, "time": 0.41254} -{"mode": "train", "epoch": 99, "iter": 124350, "lr": 1e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.25819, "decode.acc_seg": 71.13575, "aux.loss_seg": 0.19736, "aux.acc_seg": 64.77283, "loss": 0.45555, "time": 0.39862} -{"mode": "train", "epoch": 99, "iter": 124400, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24799, "decode.acc_seg": 73.10616, "aux.loss_seg": 0.2048, "aux.acc_seg": 66.0222, "loss": 0.4528, "time": 0.40446} -{"mode": "train", "epoch": 99, "iter": 124450, "lr": 1e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.25035, "decode.acc_seg": 71.81734, "aux.loss_seg": 0.19856, "aux.acc_seg": 65.44965, "loss": 0.44891, "time": 0.41387} -{"mode": "train", "epoch": 99, "iter": 124500, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.25645, "decode.acc_seg": 72.72604, "aux.loss_seg": 0.19794, "aux.acc_seg": 66.50624, "loss": 0.45439, "time": 0.40068} -{"mode": "train", "epoch": 99, "iter": 124550, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25438, "decode.acc_seg": 72.03881, "aux.loss_seg": 0.20173, "aux.acc_seg": 65.3586, "loss": 0.45611, "time": 0.40536} -{"mode": "train", "epoch": 99, "iter": 124600, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25768, "decode.acc_seg": 73.85077, "aux.loss_seg": 0.20037, "aux.acc_seg": 67.29758, "loss": 0.45806, "time": 0.39801} -{"mode": "train", "epoch": 99, "iter": 124650, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25126, "decode.acc_seg": 71.95067, "aux.loss_seg": 0.19549, "aux.acc_seg": 65.64572, "loss": 0.44675, "time": 0.3973} -{"mode": "train", "epoch": 99, "iter": 124700, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24629, "decode.acc_seg": 72.29727, "aux.loss_seg": 0.19193, "aux.acc_seg": 66.19866, "loss": 0.43821, "time": 0.39401} -{"mode": "train", "epoch": 99, "iter": 124750, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.25307, "decode.acc_seg": 73.07371, "aux.loss_seg": 0.19705, "aux.acc_seg": 66.55434, "loss": 0.45012, "time": 0.39751} -{"mode": "train", "epoch": 99, "iter": 124800, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.25557, "decode.acc_seg": 72.88227, "aux.loss_seg": 0.19599, "aux.acc_seg": 66.84385, "loss": 0.45157, "time": 0.4191} -{"mode": "train", "epoch": 99, "iter": 124850, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.23996, "decode.acc_seg": 73.57022, "aux.loss_seg": 0.19921, "aux.acc_seg": 66.44913, "loss": 0.43917, "time": 0.41316} -{"mode": "train", "epoch": 99, "iter": 124900, "lr": 1e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.24731, "decode.acc_seg": 70.77329, "aux.loss_seg": 0.19723, "aux.acc_seg": 64.27519, "loss": 0.44454, "time": 0.40072} -{"mode": "train", "epoch": 99, "iter": 124950, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.25709, "decode.acc_seg": 72.89323, "aux.loss_seg": 0.19844, "aux.acc_seg": 66.49172, "loss": 0.45553, "time": 0.39712} -{"mode": "train", "epoch": 99, "iter": 125000, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.26414, "decode.acc_seg": 73.1434, "aux.loss_seg": 0.20029, "aux.acc_seg": 66.96877, "loss": 0.46443, "time": 0.40896} -{"mode": "train", "epoch": 100, "iter": 125050, "lr": 1e-05, "memory": 17837, "data_time": 0.24715, "decode.loss_seg": 0.25297, "decode.acc_seg": 72.51497, "aux.loss_seg": 0.20036, "aux.acc_seg": 65.85839, "loss": 0.45333, "time": 0.64059} -{"mode": "train", "epoch": 100, "iter": 125100, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25863, "decode.acc_seg": 71.94146, "aux.loss_seg": 0.20062, "aux.acc_seg": 65.31323, "loss": 0.45925, "time": 0.39529} -{"mode": "train", "epoch": 100, "iter": 125150, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23736, "decode.acc_seg": 72.98965, "aux.loss_seg": 0.19721, "aux.acc_seg": 65.97019, "loss": 0.43457, "time": 0.4044} -{"mode": "train", "epoch": 100, "iter": 125200, "lr": 1e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.24301, "decode.acc_seg": 73.09619, "aux.loss_seg": 0.18721, "aux.acc_seg": 67.18846, "loss": 0.43022, "time": 0.40856} -{"mode": "train", "epoch": 100, "iter": 125250, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.24691, "decode.acc_seg": 71.79014, "aux.loss_seg": 0.1911, "aux.acc_seg": 65.33509, "loss": 0.43801, "time": 0.41394} -{"mode": "train", "epoch": 100, "iter": 125300, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.27203, "decode.acc_seg": 73.13521, "aux.loss_seg": 0.21483, "aux.acc_seg": 66.23465, "loss": 0.48686, "time": 0.39866} -{"mode": "train", "epoch": 100, "iter": 125350, "lr": 1e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.26934, "decode.acc_seg": 73.09282, "aux.loss_seg": 0.21396, "aux.acc_seg": 66.15064, "loss": 0.48331, "time": 0.40783} -{"mode": "train", "epoch": 100, "iter": 125400, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.24113, "decode.acc_seg": 73.00475, "aux.loss_seg": 0.19843, "aux.acc_seg": 65.98154, "loss": 0.43956, "time": 0.40119} -{"mode": "train", "epoch": 100, "iter": 125450, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.24095, "decode.acc_seg": 72.22235, "aux.loss_seg": 0.18782, "aux.acc_seg": 65.91576, "loss": 0.42877, "time": 0.40166} -{"mode": "train", "epoch": 100, "iter": 125500, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24689, "decode.acc_seg": 72.08614, "aux.loss_seg": 0.20057, "aux.acc_seg": 65.14683, "loss": 0.44746, "time": 0.40077} -{"mode": "train", "epoch": 100, "iter": 125550, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.26654, "decode.acc_seg": 72.85741, "aux.loss_seg": 0.20259, "aux.acc_seg": 66.37655, "loss": 0.46913, "time": 0.39441} -{"mode": "train", "epoch": 100, "iter": 125600, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.25368, "decode.acc_seg": 73.79126, "aux.loss_seg": 0.197, "aux.acc_seg": 67.21957, "loss": 0.45068, "time": 0.40669} -{"mode": "train", "epoch": 100, "iter": 125650, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.22914, "decode.acc_seg": 73.16498, "aux.loss_seg": 0.19046, "aux.acc_seg": 66.52397, "loss": 0.41959, "time": 0.3959} -{"mode": "train", "epoch": 100, "iter": 125700, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.25896, "decode.acc_seg": 72.44914, "aux.loss_seg": 0.19762, "aux.acc_seg": 66.40169, "loss": 0.45658, "time": 0.39893} -{"mode": "train", "epoch": 100, "iter": 125750, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.24789, "decode.acc_seg": 71.12481, "aux.loss_seg": 0.19748, "aux.acc_seg": 64.43421, "loss": 0.44537, "time": 0.41157} -{"mode": "train", "epoch": 100, "iter": 125800, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25674, "decode.acc_seg": 72.53985, "aux.loss_seg": 0.19838, "aux.acc_seg": 66.01801, "loss": 0.45512, "time": 0.40249} -{"mode": "train", "epoch": 100, "iter": 125850, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.25121, "decode.acc_seg": 72.34347, "aux.loss_seg": 0.19036, "aux.acc_seg": 66.23162, "loss": 0.44157, "time": 0.39537} -{"mode": "train", "epoch": 100, "iter": 125900, "lr": 1e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.25126, "decode.acc_seg": 73.11025, "aux.loss_seg": 0.19912, "aux.acc_seg": 66.82488, "loss": 0.45039, "time": 0.40028} -{"mode": "train", "epoch": 100, "iter": 125950, "lr": 1e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.25543, "decode.acc_seg": 73.46223, "aux.loss_seg": 0.19845, "aux.acc_seg": 67.09229, "loss": 0.45388, "time": 0.40554} -{"mode": "train", "epoch": 100, "iter": 126000, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.25499, "decode.acc_seg": 72.10564, "aux.loss_seg": 0.20075, "aux.acc_seg": 65.69106, "loss": 0.45574, "time": 0.40009} -{"mode": "train", "epoch": 100, "iter": 126050, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.24791, "decode.acc_seg": 72.99298, "aux.loss_seg": 0.18538, "aux.acc_seg": 67.21467, "loss": 0.43329, "time": 0.4078} -{"mode": "train", "epoch": 100, "iter": 126100, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24993, "decode.acc_seg": 72.26122, "aux.loss_seg": 0.20164, "aux.acc_seg": 65.6017, "loss": 0.45158, "time": 0.41324} -{"mode": "train", "epoch": 100, "iter": 126150, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.25072, "decode.acc_seg": 72.6611, "aux.loss_seg": 0.19991, "aux.acc_seg": 66.07834, "loss": 0.45063, "time": 0.40211} -{"mode": "train", "epoch": 100, "iter": 126200, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.25614, "decode.acc_seg": 72.25502, "aux.loss_seg": 0.20686, "aux.acc_seg": 65.576, "loss": 0.46301, "time": 0.39887} -{"mode": "train", "epoch": 100, "iter": 126250, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.25103, "decode.acc_seg": 73.70704, "aux.loss_seg": 0.19804, "aux.acc_seg": 67.25784, "loss": 0.44907, "time": 0.41346} -{"mode": "train", "epoch": 100, "iter": 126300, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24404, "decode.acc_seg": 73.13143, "aux.loss_seg": 0.20248, "aux.acc_seg": 65.85996, "loss": 0.44652, "time": 0.39545} -{"mode": "train", "epoch": 101, "iter": 126350, "lr": 1e-05, "memory": 17837, "data_time": 0.24504, "decode.loss_seg": 0.24394, "decode.acc_seg": 72.96391, "aux.loss_seg": 0.19486, "aux.acc_seg": 66.37174, "loss": 0.4388, "time": 0.64111} -{"mode": "train", "epoch": 101, "iter": 126400, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.24412, "decode.acc_seg": 73.6811, "aux.loss_seg": 0.19493, "aux.acc_seg": 67.05805, "loss": 0.43905, "time": 0.40857} -{"mode": "train", "epoch": 101, "iter": 126450, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.23843, "decode.acc_seg": 72.8902, "aux.loss_seg": 0.18599, "aux.acc_seg": 66.87025, "loss": 0.42442, "time": 0.39675} -{"mode": "train", "epoch": 101, "iter": 126500, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25948, "decode.acc_seg": 72.45252, "aux.loss_seg": 0.21247, "aux.acc_seg": 64.94962, "loss": 0.47195, "time": 0.40995} -{"mode": "train", "epoch": 101, "iter": 126550, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.25204, "decode.acc_seg": 73.21799, "aux.loss_seg": 0.20021, "aux.acc_seg": 66.72686, "loss": 0.45225, "time": 0.39707} -{"mode": "train", "epoch": 101, "iter": 126600, "lr": 1e-05, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.25846, "decode.acc_seg": 72.31632, "aux.loss_seg": 0.19846, "aux.acc_seg": 65.90032, "loss": 0.45692, "time": 0.40438} -{"mode": "train", "epoch": 101, "iter": 126650, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.24399, "decode.acc_seg": 72.6754, "aux.loss_seg": 0.19663, "aux.acc_seg": 66.27383, "loss": 0.44062, "time": 0.39711} -{"mode": "train", "epoch": 101, "iter": 126700, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25614, "decode.acc_seg": 72.4778, "aux.loss_seg": 0.1991, "aux.acc_seg": 66.05608, "loss": 0.45524, "time": 0.40762} -{"mode": "train", "epoch": 101, "iter": 126750, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.25853, "decode.acc_seg": 71.43622, "aux.loss_seg": 0.2022, "aux.acc_seg": 64.90011, "loss": 0.46072, "time": 0.40672} -{"mode": "train", "epoch": 101, "iter": 126800, "lr": 1e-05, "memory": 17837, "data_time": 0.00689, "decode.loss_seg": 0.25591, "decode.acc_seg": 71.94447, "aux.loss_seg": 0.20578, "aux.acc_seg": 65.03324, "loss": 0.46169, "time": 0.40495} -{"mode": "train", "epoch": 101, "iter": 126850, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.25128, "decode.acc_seg": 72.98336, "aux.loss_seg": 0.19714, "aux.acc_seg": 66.51719, "loss": 0.44842, "time": 0.41042} -{"mode": "train", "epoch": 101, "iter": 126900, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.24912, "decode.acc_seg": 74.1138, "aux.loss_seg": 0.19878, "aux.acc_seg": 67.55947, "loss": 0.4479, "time": 0.39992} -{"mode": "train", "epoch": 101, "iter": 126950, "lr": 1e-05, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.25161, "decode.acc_seg": 73.20941, "aux.loss_seg": 0.2026, "aux.acc_seg": 66.2486, "loss": 0.45422, "time": 0.41858} -{"mode": "train", "epoch": 101, "iter": 127000, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.24074, "decode.acc_seg": 72.35357, "aux.loss_seg": 0.18682, "aux.acc_seg": 66.31779, "loss": 0.42756, "time": 0.39913} -{"mode": "train", "epoch": 101, "iter": 127050, "lr": 1e-05, "memory": 17837, "data_time": 0.00697, "decode.loss_seg": 0.25901, "decode.acc_seg": 73.76393, "aux.loss_seg": 0.197, "aux.acc_seg": 67.50138, "loss": 0.45601, "time": 0.41095} -{"mode": "train", "epoch": 101, "iter": 127100, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.25578, "decode.acc_seg": 72.6901, "aux.loss_seg": 0.20136, "aux.acc_seg": 66.16401, "loss": 0.45714, "time": 0.41422} -{"mode": "train", "epoch": 101, "iter": 127150, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24272, "decode.acc_seg": 71.67217, "aux.loss_seg": 0.19028, "aux.acc_seg": 65.41168, "loss": 0.433, "time": 0.41782} -{"mode": "train", "epoch": 101, "iter": 127200, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.24933, "decode.acc_seg": 72.23856, "aux.loss_seg": 0.19462, "aux.acc_seg": 65.77689, "loss": 0.44396, "time": 0.40777} -{"mode": "train", "epoch": 101, "iter": 127250, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.24935, "decode.acc_seg": 72.77655, "aux.loss_seg": 0.20016, "aux.acc_seg": 66.43655, "loss": 0.44951, "time": 0.39988} -{"mode": "train", "epoch": 101, "iter": 127300, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.23684, "decode.acc_seg": 72.56795, "aux.loss_seg": 0.18551, "aux.acc_seg": 66.58199, "loss": 0.42235, "time": 0.40405} -{"mode": "train", "epoch": 101, "iter": 127350, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.24646, "decode.acc_seg": 73.92992, "aux.loss_seg": 0.19696, "aux.acc_seg": 67.44555, "loss": 0.44343, "time": 0.3933} -{"mode": "train", "epoch": 101, "iter": 127400, "lr": 1e-05, "memory": 17837, "data_time": 0.00681, "decode.loss_seg": 0.24746, "decode.acc_seg": 72.33304, "aux.loss_seg": 0.19449, "aux.acc_seg": 65.94671, "loss": 0.44194, "time": 0.41096} -{"mode": "train", "epoch": 101, "iter": 127450, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.24267, "decode.acc_seg": 71.41781, "aux.loss_seg": 0.1946, "aux.acc_seg": 65.11543, "loss": 0.43727, "time": 0.40334} -{"mode": "train", "epoch": 101, "iter": 127500, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25588, "decode.acc_seg": 71.36123, "aux.loss_seg": 0.19227, "aux.acc_seg": 65.28218, "loss": 0.44815, "time": 0.4086} -{"mode": "train", "epoch": 101, "iter": 127550, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.24005, "decode.acc_seg": 71.42992, "aux.loss_seg": 0.18689, "aux.acc_seg": 65.4365, "loss": 0.42694, "time": 0.39623} -{"mode": "train", "epoch": 102, "iter": 127600, "lr": 1e-05, "memory": 17837, "data_time": 0.25101, "decode.loss_seg": 0.25073, "decode.acc_seg": 72.0392, "aux.loss_seg": 0.20413, "aux.acc_seg": 65.17778, "loss": 0.45486, "time": 0.63823} -{"mode": "train", "epoch": 102, "iter": 127650, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.24226, "decode.acc_seg": 72.17163, "aux.loss_seg": 0.19346, "aux.acc_seg": 65.45945, "loss": 0.43571, "time": 0.40165} -{"mode": "train", "epoch": 102, "iter": 127700, "lr": 1e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.2449, "decode.acc_seg": 72.18624, "aux.loss_seg": 0.18482, "aux.acc_seg": 66.48881, "loss": 0.42972, "time": 0.39802} -{"mode": "train", "epoch": 102, "iter": 127750, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24441, "decode.acc_seg": 73.42149, "aux.loss_seg": 0.19663, "aux.acc_seg": 66.84102, "loss": 0.44104, "time": 0.40519} -{"mode": "train", "epoch": 102, "iter": 127800, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24736, "decode.acc_seg": 71.25876, "aux.loss_seg": 0.19779, "aux.acc_seg": 64.87534, "loss": 0.44515, "time": 0.4027} -{"mode": "train", "epoch": 102, "iter": 127850, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.26016, "decode.acc_seg": 71.50884, "aux.loss_seg": 0.20689, "aux.acc_seg": 64.65736, "loss": 0.46705, "time": 0.40204} -{"mode": "train", "epoch": 102, "iter": 127900, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23217, "decode.acc_seg": 73.63376, "aux.loss_seg": 0.18624, "aux.acc_seg": 67.32055, "loss": 0.4184, "time": 0.40706} -{"mode": "train", "epoch": 102, "iter": 127950, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24613, "decode.acc_seg": 72.4721, "aux.loss_seg": 0.1922, "aux.acc_seg": 66.22698, "loss": 0.43833, "time": 0.4022} -{"mode": "val", "epoch": 102, "iter": 128000, "lr": 1e-05, "mIoU": 0.4529, "mAcc": 0.575, "aAcc": 0.8126, "IoU.wall": 0.7547, "IoU.building": 0.8001, "IoU.sky": 0.9384, "IoU.floor": 0.7977, "IoU.tree": 0.7319, "IoU.ceiling": 0.8224, "IoU.road": 0.8125, "IoU.bed ": 0.8589, "IoU.windowpane": 0.605, "IoU.grass": 0.655, "IoU.cabinet": 0.5812, "IoU.sidewalk": 0.6146, "IoU.person": 0.7582, "IoU.earth": 0.3292, "IoU.door": 0.4215, "IoU.table": 0.5382, "IoU.mountain": 0.5796, "IoU.plant": 0.5107, "IoU.curtain": 0.6785, "IoU.chair": 0.5083, "IoU.car": 0.8165, "IoU.water": 0.4635, "IoU.painting": 0.7036, "IoU.sofa": 0.5691, "IoU.shelf": 0.3865, "IoU.house": 0.4372, "IoU.sea": 0.5401, "IoU.mirror": 0.5808, "IoU.rug": 0.6438, "IoU.field": 0.2769, "IoU.armchair": 0.3423, "IoU.seat": 0.5979, "IoU.fence": 0.4044, "IoU.desk": 0.4709, "IoU.rock": 0.4402, "IoU.wardrobe": 0.4344, "IoU.lamp": 0.5638, "IoU.bathtub": 0.7196, "IoU.railing": 0.3253, "IoU.cushion": 0.5214, "IoU.base": 0.2775, "IoU.box": 0.2563, "IoU.column": 0.4198, "IoU.signboard": 0.3223, "IoU.chest of drawers": 0.3856, "IoU.counter": 0.2924, "IoU.sand": 0.3428, "IoU.sink": 0.667, "IoU.skyscraper": 0.6654, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7127, "IoU.grandstand": 0.4704, "IoU.path": 0.19, "IoU.stairs": 0.2409, "IoU.runway": 0.7336, "IoU.case": 0.4882, "IoU.pool table": 0.8959, "IoU.pillow": 0.5071, "IoU.screen door": 0.5534, "IoU.stairway": 0.2374, "IoU.river": 0.1594, "IoU.bridge": 0.5929, "IoU.bookcase": 0.4479, "IoU.blind": NaN, "IoU.coffee table": 0.5258, "IoU.toilet": 0.8022, "IoU.flower": 0.4133, "IoU.book": 0.4477, "IoU.hill": 0.1204, "IoU.bench": 0.4025, "IoU.countertop": 0.488, "IoU.stove": 0.6611, "IoU.palm": 0.484, "IoU.kitchen island": 0.365, "IoU.computer": 0.6421, "IoU.swivel chair": 0.4403, "IoU.boat": 0.4061, "IoU.bar": 0.2907, "IoU.arcade machine": 0.5705, "IoU.hovel": 0.3717, "IoU.bus": 0.755, "IoU.towel": 0.6075, "IoU.light": 0.5044, "IoU.truck": 0.1485, "IoU.tower": 0.2512, "IoU.chandelier": 0.6217, "IoU.awning": 0.2458, "IoU.streetlight": 0.187, "IoU.booth": 0.5154, "IoU.television receiver": NaN, "IoU.airplane": 0.5331, "IoU.dirt track": 0.1475, "IoU.apparel": 0.2817, "IoU.pole": 0.1297, "IoU.land": 0.0423, "IoU.bannister": 0.0491, "IoU.escalator": 0.3219, "IoU.ottoman": 0.39, "IoU.bottle": NaN, "IoU.buffet": 0.4633, "IoU.poster": 0.2309, "IoU.stage": 0.1341, "IoU.van": 0.4017, "IoU.ship": 0.561, "IoU.fountain": 0.2084, "IoU.conveyer belt": 0.7, "IoU.canopy": 0.1955, "IoU.washer": 0.6776, "IoU.plaything": 0.1589, "IoU.swimming pool": 0.557, "IoU.stool": 0.3759, "IoU.barrel": 0.4992, "IoU.basket": 0.2172, "IoU.waterfall": 0.4883, "IoU.tent": 0.8904, "IoU.bag": 0.0623, "IoU.minibike": 0.7136, "IoU.cradle": NaN, "IoU.oven": 0.3109, "IoU.ball": 0.3082, "IoU.food": 0.4659, "IoU.step": 0.0795, "IoU.tank": 0.5715, "IoU.trade name": 0.2373, "IoU.microwave": 0.7468, "IoU.pot": 0.4482, "IoU.animal": NaN, "IoU.bicycle": 0.4915, "IoU.lake": 0.472, "IoU.dishwasher": 0.5758, "IoU.screen": 0.6409, "IoU.blanket": 0.0998, "IoU.sculpture": 0.4902, "IoU.hood": 0.547, "IoU.sconce": 0.4111, "IoU.vase": 0.3141, "IoU.traffic light": 0.2252, "IoU.tray": 0.0518, "IoU.ashcan": 0.2885, "IoU.fan": 0.5393, "IoU.pier": 0.3326, "IoU.crt screen": 0.0387, "IoU.plate": 0.5343, "IoU.monitor": 0.0881, "IoU.bulletin board": 0.3348, "IoU.shower": 0.0112, "IoU.radiator": 0.5547, "IoU.glass": 0.1107, "IoU.clock": 0.3347, "IoU.flag": 0.4748, "Acc.wall": 0.8699, "Acc.building": 0.9039, "Acc.sky": 0.9715, "Acc.floor": 0.8959, "Acc.tree": 0.8679, "Acc.ceiling": 0.9152, "Acc.road": 0.8749, "Acc.bed ": 0.9469, "Acc.windowpane": 0.7789, "Acc.grass": 0.8332, "Acc.cabinet": 0.6987, "Acc.sidewalk": 0.8043, "Acc.person": 0.8996, "Acc.earth": 0.4391, "Acc.door": 0.5512, "Acc.table": 0.7265, "Acc.mountain": 0.7211, "Acc.plant": 0.6424, "Acc.curtain": 0.8286, "Acc.chair": 0.6578, "Acc.car": 0.9105, "Acc.water": 0.582, "Acc.painting": 0.8531, "Acc.sofa": 0.7738, "Acc.shelf": 0.5625, "Acc.house": 0.6793, "Acc.sea": 0.833, "Acc.mirror": 0.6746, "Acc.rug": 0.7256, "Acc.field": 0.4576, "Acc.armchair": 0.5149, "Acc.seat": 0.7764, "Acc.fence": 0.5786, "Acc.desk": 0.6948, "Acc.rock": 0.6353, "Acc.wardrobe": 0.6343, "Acc.lamp": 0.7098, "Acc.bathtub": 0.7865, "Acc.railing": 0.4813, "Acc.cushion": 0.6612, "Acc.base": 0.368, "Acc.box": 0.3515, "Acc.column": 0.5076, "Acc.signboard": 0.4619, "Acc.chest of drawers": 0.5404, "Acc.counter": 0.3813, "Acc.sand": 0.5608, "Acc.sink": 0.76, "Acc.skyscraper": 0.8464, "Acc.fireplace": NaN, "Acc.refrigerator": 0.856, "Acc.grandstand": 0.7208, "Acc.path": 0.2742, "Acc.stairs": 0.2998, "Acc.runway": 0.932, "Acc.case": 0.6511, "Acc.pool table": 0.963, "Acc.pillow": 0.5874, "Acc.screen door": 0.7423, "Acc.stairway": 0.3511, "Acc.river": 0.2897, "Acc.bridge": 0.7114, "Acc.bookcase": 0.5552, "Acc.blind": NaN, "Acc.coffee table": 0.7815, "Acc.toilet": 0.8902, "Acc.flower": 0.5481, "Acc.book": 0.653, "Acc.hill": 0.1754, "Acc.bench": 0.5067, "Acc.countertop": 0.6431, "Acc.stove": 0.7816, "Acc.palm": 0.6928, "Acc.kitchen island": 0.6684, "Acc.computer": 0.7698, "Acc.swivel chair": 0.564, "Acc.boat": 0.4907, "Acc.bar": 0.3728, "Acc.arcade machine": 0.6076, "Acc.hovel": 0.409, "Acc.bus": 0.9086, "Acc.towel": 0.7159, "Acc.light": 0.581, "Acc.truck": 0.1964, "Acc.tower": 0.3867, "Acc.chandelier": 0.8125, "Acc.awning": 0.3064, "Acc.streetlight": 0.2572, "Acc.booth": 0.6003, "Acc.television receiver": NaN, "Acc.airplane": 0.6059, "Acc.dirt track": 0.4274, "Acc.apparel": 0.4128, "Acc.pole": 0.1722, "Acc.land": 0.0508, "Acc.bannister": 0.0621, "Acc.escalator": 0.4443, "Acc.ottoman": 0.5787, "Acc.bottle": NaN, "Acc.buffet": 0.5448, "Acc.poster": 0.3195, "Acc.stage": 0.2444, "Acc.van": 0.5043, "Acc.ship": 0.8907, "Acc.fountain": 0.2095, "Acc.conveyer belt": 0.8705, "Acc.canopy": 0.2522, "Acc.washer": 0.716, "Acc.plaything": 0.2755, "Acc.swimming pool": 0.8264, "Acc.stool": 0.5052, "Acc.barrel": 0.6473, "Acc.basket": 0.3195, "Acc.waterfall": 0.6283, "Acc.tent": 0.9886, "Acc.bag": 0.0762, "Acc.minibike": 0.8608, "Acc.cradle": NaN, "Acc.oven": 0.4843, "Acc.ball": 0.3183, "Acc.food": 0.5239, "Acc.step": 0.0966, "Acc.tank": 0.6409, "Acc.trade name": 0.2848, "Acc.microwave": 0.8476, "Acc.pot": 0.5155, "Acc.animal": NaN, "Acc.bicycle": 0.7276, "Acc.lake": 0.6362, "Acc.dishwasher": 0.72, "Acc.screen": 0.8297, "Acc.blanket": 0.1126, "Acc.sculpture": 0.6962, "Acc.hood": 0.6074, "Acc.sconce": 0.4777, "Acc.vase": 0.4367, "Acc.traffic light": 0.3411, "Acc.tray": 0.0981, "Acc.ashcan": 0.3454, "Acc.fan": 0.6779, "Acc.pier": 0.484, "Acc.crt screen": 0.1134, "Acc.plate": 0.6587, "Acc.monitor": 0.098, "Acc.bulletin board": 0.4581, "Acc.shower": 0.0227, "Acc.radiator": 0.6147, "Acc.glass": 0.123, "Acc.clock": 0.4242, "Acc.flag": 0.567} -{"mode": "train", "epoch": 102, "iter": 128050, "lr": 1e-05, "memory": 17837, "data_time": 1.52403, "decode.loss_seg": 0.24949, "decode.acc_seg": 72.84471, "aux.loss_seg": 0.20648, "aux.acc_seg": 65.83178, "loss": 0.45598, "time": 1.92884} -{"mode": "train", "epoch": 102, "iter": 128100, "lr": 1e-05, "memory": 17837, "data_time": 0.00554, "decode.loss_seg": 0.25385, "decode.acc_seg": 72.06133, "aux.loss_seg": 0.1957, "aux.acc_seg": 65.9257, "loss": 0.44956, "time": 0.39772} -{"mode": "train", "epoch": 102, "iter": 128150, "lr": 1e-05, "memory": 17837, "data_time": 0.00533, "decode.loss_seg": 0.24489, "decode.acc_seg": 73.10942, "aux.loss_seg": 0.19807, "aux.acc_seg": 66.50307, "loss": 0.44296, "time": 0.40012} -{"mode": "train", "epoch": 102, "iter": 128200, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.26615, "decode.acc_seg": 72.89673, "aux.loss_seg": 0.21109, "aux.acc_seg": 66.01459, "loss": 0.47724, "time": 0.39821} -{"mode": "train", "epoch": 102, "iter": 128250, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23981, "decode.acc_seg": 72.46024, "aux.loss_seg": 0.18544, "aux.acc_seg": 66.7051, "loss": 0.42525, "time": 0.40785} -{"mode": "train", "epoch": 102, "iter": 128300, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24496, "decode.acc_seg": 72.24915, "aux.loss_seg": 0.202, "aux.acc_seg": 65.33804, "loss": 0.44697, "time": 0.3985} -{"mode": "train", "epoch": 102, "iter": 128350, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.24896, "decode.acc_seg": 71.86798, "aux.loss_seg": 0.1986, "aux.acc_seg": 65.42493, "loss": 0.44756, "time": 0.3979} -{"mode": "train", "epoch": 102, "iter": 128400, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24868, "decode.acc_seg": 72.62115, "aux.loss_seg": 0.20122, "aux.acc_seg": 65.76404, "loss": 0.4499, "time": 0.41298} -{"mode": "train", "epoch": 102, "iter": 128450, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24859, "decode.acc_seg": 72.7813, "aux.loss_seg": 0.19374, "aux.acc_seg": 66.50441, "loss": 0.44233, "time": 0.39681} -{"mode": "train", "epoch": 102, "iter": 128500, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.25693, "decode.acc_seg": 72.48635, "aux.loss_seg": 0.19572, "aux.acc_seg": 66.39935, "loss": 0.45264, "time": 0.39854} -{"mode": "train", "epoch": 102, "iter": 128550, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.23778, "decode.acc_seg": 73.57706, "aux.loss_seg": 0.18814, "aux.acc_seg": 67.55085, "loss": 0.42592, "time": 0.41194} -{"mode": "train", "epoch": 102, "iter": 128600, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.25105, "decode.acc_seg": 71.52681, "aux.loss_seg": 0.1985, "aux.acc_seg": 65.0754, "loss": 0.44955, "time": 0.40815} -{"mode": "train", "epoch": 102, "iter": 128650, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.24847, "decode.acc_seg": 71.66175, "aux.loss_seg": 0.19232, "aux.acc_seg": 65.6192, "loss": 0.4408, "time": 0.41522} -{"mode": "train", "epoch": 102, "iter": 128700, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.24939, "decode.acc_seg": 73.71152, "aux.loss_seg": 0.19931, "aux.acc_seg": 66.9625, "loss": 0.44869, "time": 0.40394} -{"mode": "train", "epoch": 102, "iter": 128750, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.25155, "decode.acc_seg": 72.88671, "aux.loss_seg": 0.19549, "aux.acc_seg": 66.27788, "loss": 0.44705, "time": 0.39765} -{"mode": "train", "epoch": 102, "iter": 128800, "lr": 1e-05, "memory": 17837, "data_time": 0.00562, "decode.loss_seg": 0.24994, "decode.acc_seg": 72.06487, "aux.loss_seg": 0.19647, "aux.acc_seg": 65.54991, "loss": 0.44641, "time": 0.39587} -{"mode": "train", "epoch": 103, "iter": 128850, "lr": 1e-05, "memory": 17837, "data_time": 0.24456, "decode.loss_seg": 0.23921, "decode.acc_seg": 71.45655, "aux.loss_seg": 0.1866, "aux.acc_seg": 65.39856, "loss": 0.42581, "time": 0.63068} -{"mode": "train", "epoch": 103, "iter": 128900, "lr": 1e-05, "memory": 17837, "data_time": 0.00542, "decode.loss_seg": 0.24337, "decode.acc_seg": 72.07211, "aux.loss_seg": 0.19497, "aux.acc_seg": 65.67247, "loss": 0.43833, "time": 0.39466} -{"mode": "train", "epoch": 103, "iter": 128950, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.25468, "decode.acc_seg": 72.98526, "aux.loss_seg": 0.20042, "aux.acc_seg": 66.58754, "loss": 0.4551, "time": 0.40143} -{"mode": "train", "epoch": 103, "iter": 129000, "lr": 1e-05, "memory": 17837, "data_time": 0.00549, "decode.loss_seg": 0.24139, "decode.acc_seg": 72.19058, "aux.loss_seg": 0.19545, "aux.acc_seg": 65.68521, "loss": 0.43684, "time": 0.39816} -{"mode": "train", "epoch": 103, "iter": 129050, "lr": 1e-05, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.23819, "decode.acc_seg": 72.35155, "aux.loss_seg": 0.1905, "aux.acc_seg": 65.70062, "loss": 0.4287, "time": 0.40447} -{"mode": "train", "epoch": 103, "iter": 129100, "lr": 1e-05, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.25146, "decode.acc_seg": 71.31711, "aux.loss_seg": 0.19379, "aux.acc_seg": 65.0786, "loss": 0.44525, "time": 0.42358} -{"mode": "train", "epoch": 103, "iter": 129150, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.2367, "decode.acc_seg": 73.47553, "aux.loss_seg": 0.18529, "aux.acc_seg": 67.23986, "loss": 0.422, "time": 0.41309} -{"mode": "train", "epoch": 103, "iter": 129200, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.24563, "decode.acc_seg": 73.32253, "aux.loss_seg": 0.19875, "aux.acc_seg": 66.62723, "loss": 0.44438, "time": 0.4154} -{"mode": "train", "epoch": 103, "iter": 129250, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24933, "decode.acc_seg": 72.82059, "aux.loss_seg": 0.19629, "aux.acc_seg": 66.34263, "loss": 0.44562, "time": 0.41407} -{"mode": "train", "epoch": 103, "iter": 129300, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24696, "decode.acc_seg": 73.89507, "aux.loss_seg": 0.19499, "aux.acc_seg": 67.52313, "loss": 0.44195, "time": 0.41231} -{"mode": "train", "epoch": 103, "iter": 129350, "lr": 1e-05, "memory": 17837, "data_time": 0.00693, "decode.loss_seg": 0.24236, "decode.acc_seg": 71.06201, "aux.loss_seg": 0.18571, "aux.acc_seg": 64.96977, "loss": 0.42807, "time": 0.41264} -{"mode": "train", "epoch": 103, "iter": 129400, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.23724, "decode.acc_seg": 73.03834, "aux.loss_seg": 0.18789, "aux.acc_seg": 66.99113, "loss": 0.42514, "time": 0.40196} -{"mode": "train", "epoch": 103, "iter": 129450, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.23332, "decode.acc_seg": 73.16721, "aux.loss_seg": 0.18604, "aux.acc_seg": 67.111, "loss": 0.41936, "time": 0.39822} -{"mode": "train", "epoch": 103, "iter": 129500, "lr": 1e-05, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.23812, "decode.acc_seg": 72.44052, "aux.loss_seg": 0.1889, "aux.acc_seg": 65.9071, "loss": 0.42703, "time": 0.39422} -{"mode": "train", "epoch": 103, "iter": 129550, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24238, "decode.acc_seg": 72.31934, "aux.loss_seg": 0.19002, "aux.acc_seg": 65.9632, "loss": 0.4324, "time": 0.39983} -{"mode": "train", "epoch": 103, "iter": 129600, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.24673, "decode.acc_seg": 73.11126, "aux.loss_seg": 0.19806, "aux.acc_seg": 66.3198, "loss": 0.44479, "time": 0.40962} -{"mode": "train", "epoch": 103, "iter": 129650, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.26496, "decode.acc_seg": 72.85745, "aux.loss_seg": 0.20279, "aux.acc_seg": 66.42097, "loss": 0.46775, "time": 0.40274} -{"mode": "train", "epoch": 103, "iter": 129700, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24625, "decode.acc_seg": 72.24442, "aux.loss_seg": 0.199, "aux.acc_seg": 65.22015, "loss": 0.44525, "time": 0.39492} -{"mode": "train", "epoch": 103, "iter": 129750, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24562, "decode.acc_seg": 73.14914, "aux.loss_seg": 0.19444, "aux.acc_seg": 67.12963, "loss": 0.44006, "time": 0.3933} -{"mode": "train", "epoch": 103, "iter": 129800, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24092, "decode.acc_seg": 70.91007, "aux.loss_seg": 0.19173, "aux.acc_seg": 64.58111, "loss": 0.43265, "time": 0.40873} -{"mode": "train", "epoch": 103, "iter": 129850, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25323, "decode.acc_seg": 72.25761, "aux.loss_seg": 0.20241, "aux.acc_seg": 65.44699, "loss": 0.45565, "time": 0.41517} -{"mode": "train", "epoch": 103, "iter": 129900, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.25576, "decode.acc_seg": 73.27412, "aux.loss_seg": 0.19964, "aux.acc_seg": 66.60685, "loss": 0.4554, "time": 0.40674} -{"mode": "train", "epoch": 103, "iter": 129950, "lr": 1e-05, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.24787, "decode.acc_seg": 73.53819, "aux.loss_seg": 0.19673, "aux.acc_seg": 66.9333, "loss": 0.4446, "time": 0.40229} -{"mode": "train", "epoch": 103, "iter": 130000, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.23536, "decode.acc_seg": 73.22564, "aux.loss_seg": 0.18402, "aux.acc_seg": 67.33936, "loss": 0.41938, "time": 0.40091} -{"mode": "train", "epoch": 103, "iter": 130050, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25043, "decode.acc_seg": 72.38827, "aux.loss_seg": 0.19709, "aux.acc_seg": 65.88862, "loss": 0.44752, "time": 0.40063} -{"mode": "train", "epoch": 104, "iter": 130100, "lr": 1e-05, "memory": 17837, "data_time": 0.24758, "decode.loss_seg": 0.24527, "decode.acc_seg": 72.02046, "aux.loss_seg": 0.19401, "aux.acc_seg": 65.67758, "loss": 0.43928, "time": 0.65529} -{"mode": "train", "epoch": 104, "iter": 130150, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.2328, "decode.acc_seg": 72.63609, "aux.loss_seg": 0.1845, "aux.acc_seg": 66.52051, "loss": 0.4173, "time": 0.39546} -{"mode": "train", "epoch": 104, "iter": 130200, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.22696, "decode.acc_seg": 72.97539, "aux.loss_seg": 0.17788, "aux.acc_seg": 67.05923, "loss": 0.40484, "time": 0.40224} -{"mode": "train", "epoch": 104, "iter": 130250, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24544, "decode.acc_seg": 72.57851, "aux.loss_seg": 0.202, "aux.acc_seg": 65.45507, "loss": 0.44743, "time": 0.39662} -{"mode": "train", "epoch": 104, "iter": 130300, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24447, "decode.acc_seg": 72.38621, "aux.loss_seg": 0.18979, "aux.acc_seg": 66.24959, "loss": 0.43426, "time": 0.39888} -{"mode": "train", "epoch": 104, "iter": 130350, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24826, "decode.acc_seg": 74.02059, "aux.loss_seg": 0.19795, "aux.acc_seg": 67.60642, "loss": 0.44621, "time": 0.40259} -{"mode": "train", "epoch": 104, "iter": 130400, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.23193, "decode.acc_seg": 72.03265, "aux.loss_seg": 0.18318, "aux.acc_seg": 65.96528, "loss": 0.41511, "time": 0.41755} -{"mode": "train", "epoch": 104, "iter": 130450, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25834, "decode.acc_seg": 71.71721, "aux.loss_seg": 0.19932, "aux.acc_seg": 65.1009, "loss": 0.45766, "time": 0.39583} -{"mode": "train", "epoch": 104, "iter": 130500, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25692, "decode.acc_seg": 71.83195, "aux.loss_seg": 0.20315, "aux.acc_seg": 65.02358, "loss": 0.46006, "time": 0.40375} -{"mode": "train", "epoch": 104, "iter": 130550, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.23859, "decode.acc_seg": 73.38583, "aux.loss_seg": 0.18915, "aux.acc_seg": 66.89478, "loss": 0.42775, "time": 0.39189} -{"mode": "train", "epoch": 104, "iter": 130600, "lr": 1e-05, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.25037, "decode.acc_seg": 72.2267, "aux.loss_seg": 0.19312, "aux.acc_seg": 66.04662, "loss": 0.4435, "time": 0.39258} -{"mode": "train", "epoch": 104, "iter": 130650, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24926, "decode.acc_seg": 73.58509, "aux.loss_seg": 0.19665, "aux.acc_seg": 67.10389, "loss": 0.44591, "time": 0.39374} -{"mode": "train", "epoch": 104, "iter": 130700, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.24966, "decode.acc_seg": 73.20529, "aux.loss_seg": 0.1938, "aux.acc_seg": 67.0777, "loss": 0.44347, "time": 0.40782} -{"mode": "train", "epoch": 104, "iter": 130750, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.25483, "decode.acc_seg": 72.6763, "aux.loss_seg": 0.19596, "aux.acc_seg": 66.41456, "loss": 0.45079, "time": 0.40367} -{"mode": "train", "epoch": 104, "iter": 130800, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2469, "decode.acc_seg": 73.62668, "aux.loss_seg": 0.19647, "aux.acc_seg": 67.46011, "loss": 0.44337, "time": 0.39689} -{"mode": "train", "epoch": 104, "iter": 130850, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24647, "decode.acc_seg": 71.82121, "aux.loss_seg": 0.19209, "aux.acc_seg": 65.43587, "loss": 0.43856, "time": 0.39707} -{"mode": "train", "epoch": 104, "iter": 130900, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23948, "decode.acc_seg": 72.04014, "aux.loss_seg": 0.18688, "aux.acc_seg": 66.09431, "loss": 0.42636, "time": 0.39541} -{"mode": "train", "epoch": 104, "iter": 130950, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.2508, "decode.acc_seg": 71.20958, "aux.loss_seg": 0.19494, "aux.acc_seg": 64.68143, "loss": 0.44574, "time": 0.39716} -{"mode": "train", "epoch": 104, "iter": 131000, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.25519, "decode.acc_seg": 73.6187, "aux.loss_seg": 0.19928, "aux.acc_seg": 67.41716, "loss": 0.45448, "time": 0.39576} -{"mode": "train", "epoch": 104, "iter": 131050, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24689, "decode.acc_seg": 72.84904, "aux.loss_seg": 0.19751, "aux.acc_seg": 66.17717, "loss": 0.44439, "time": 0.39423} -{"mode": "train", "epoch": 104, "iter": 131100, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.25627, "decode.acc_seg": 74.02242, "aux.loss_seg": 0.19954, "aux.acc_seg": 67.2324, "loss": 0.45581, "time": 0.4013} -{"mode": "train", "epoch": 104, "iter": 131150, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.25757, "decode.acc_seg": 72.55483, "aux.loss_seg": 0.20155, "aux.acc_seg": 65.93216, "loss": 0.45912, "time": 0.41229} -{"mode": "train", "epoch": 104, "iter": 131200, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.24349, "decode.acc_seg": 72.2267, "aux.loss_seg": 0.19523, "aux.acc_seg": 65.55672, "loss": 0.43872, "time": 0.39412} -{"mode": "train", "epoch": 104, "iter": 131250, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24587, "decode.acc_seg": 75.13874, "aux.loss_seg": 0.1978, "aux.acc_seg": 68.63847, "loss": 0.44367, "time": 0.41063} -{"mode": "train", "epoch": 104, "iter": 131300, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24441, "decode.acc_seg": 73.6728, "aux.loss_seg": 0.18869, "aux.acc_seg": 67.52563, "loss": 0.4331, "time": 0.3994} -{"mode": "train", "epoch": 104, "iter": 131350, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.25545, "decode.acc_seg": 73.51513, "aux.loss_seg": 0.20177, "aux.acc_seg": 66.75155, "loss": 0.45722, "time": 0.41702} -{"mode": "train", "epoch": 105, "iter": 131400, "lr": 1e-05, "memory": 17837, "data_time": 0.24029, "decode.loss_seg": 0.22661, "decode.acc_seg": 71.51016, "aux.loss_seg": 0.1883, "aux.acc_seg": 64.66264, "loss": 0.4149, "time": 0.62892} -{"mode": "train", "epoch": 105, "iter": 131450, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24277, "decode.acc_seg": 72.63072, "aux.loss_seg": 0.19052, "aux.acc_seg": 66.46099, "loss": 0.43329, "time": 0.40575} -{"mode": "train", "epoch": 105, "iter": 131500, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.24491, "decode.acc_seg": 74.11901, "aux.loss_seg": 0.19599, "aux.acc_seg": 67.59159, "loss": 0.4409, "time": 0.4051} -{"mode": "train", "epoch": 105, "iter": 131550, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.25063, "decode.acc_seg": 71.81194, "aux.loss_seg": 0.19748, "aux.acc_seg": 65.27869, "loss": 0.4481, "time": 0.40489} -{"mode": "train", "epoch": 105, "iter": 131600, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24106, "decode.acc_seg": 73.93355, "aux.loss_seg": 0.18676, "aux.acc_seg": 67.62264, "loss": 0.42783, "time": 0.4015} -{"mode": "train", "epoch": 105, "iter": 131650, "lr": 1e-05, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.24684, "decode.acc_seg": 72.29987, "aux.loss_seg": 0.19446, "aux.acc_seg": 65.94867, "loss": 0.44129, "time": 0.4152} -{"mode": "train", "epoch": 105, "iter": 131700, "lr": 1e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.2543, "decode.acc_seg": 73.42187, "aux.loss_seg": 0.19447, "aux.acc_seg": 67.09861, "loss": 0.44877, "time": 0.41293} -{"mode": "train", "epoch": 105, "iter": 131750, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23758, "decode.acc_seg": 73.06031, "aux.loss_seg": 0.19413, "aux.acc_seg": 66.31758, "loss": 0.43171, "time": 0.4001} -{"mode": "train", "epoch": 105, "iter": 131800, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.25538, "decode.acc_seg": 72.95272, "aux.loss_seg": 0.20103, "aux.acc_seg": 66.48919, "loss": 0.45641, "time": 0.41561} -{"mode": "train", "epoch": 105, "iter": 131850, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.23686, "decode.acc_seg": 72.81843, "aux.loss_seg": 0.18996, "aux.acc_seg": 66.41755, "loss": 0.42682, "time": 0.39476} -{"mode": "train", "epoch": 105, "iter": 131900, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.24339, "decode.acc_seg": 72.86349, "aux.loss_seg": 0.19334, "aux.acc_seg": 66.57374, "loss": 0.43674, "time": 0.41381} -{"mode": "train", "epoch": 105, "iter": 131950, "lr": 1e-05, "memory": 17837, "data_time": 0.00679, "decode.loss_seg": 0.24263, "decode.acc_seg": 72.71408, "aux.loss_seg": 0.18796, "aux.acc_seg": 66.51977, "loss": 0.43059, "time": 0.39797} -{"mode": "train", "epoch": 105, "iter": 132000, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23156, "decode.acc_seg": 71.12531, "aux.loss_seg": 0.18429, "aux.acc_seg": 65.08433, "loss": 0.41585, "time": 0.39449} -{"mode": "train", "epoch": 105, "iter": 132050, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24108, "decode.acc_seg": 73.94686, "aux.loss_seg": 0.18728, "aux.acc_seg": 68.11297, "loss": 0.42836, "time": 0.39521} -{"mode": "train", "epoch": 105, "iter": 132100, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24747, "decode.acc_seg": 72.82389, "aux.loss_seg": 0.19362, "aux.acc_seg": 66.48106, "loss": 0.44108, "time": 0.39606} -{"mode": "train", "epoch": 105, "iter": 132150, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.24807, "decode.acc_seg": 72.427, "aux.loss_seg": 0.19587, "aux.acc_seg": 66.04454, "loss": 0.44394, "time": 0.39904} -{"mode": "train", "epoch": 105, "iter": 132200, "lr": 1e-05, "memory": 17837, "data_time": 0.00684, "decode.loss_seg": 0.2557, "decode.acc_seg": 72.05509, "aux.loss_seg": 0.20546, "aux.acc_seg": 65.18415, "loss": 0.46117, "time": 0.39962} -{"mode": "train", "epoch": 105, "iter": 132250, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23918, "decode.acc_seg": 72.821, "aux.loss_seg": 0.19521, "aux.acc_seg": 66.41997, "loss": 0.4344, "time": 0.4025} -{"mode": "train", "epoch": 105, "iter": 132300, "lr": 1e-05, "memory": 17837, "data_time": 0.00685, "decode.loss_seg": 0.24411, "decode.acc_seg": 72.38437, "aux.loss_seg": 0.19518, "aux.acc_seg": 65.77733, "loss": 0.43929, "time": 0.41552} -{"mode": "train", "epoch": 105, "iter": 132350, "lr": 1e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.4908, "aux.loss_seg": 0.19333, "aux.acc_seg": 66.28215, "loss": 0.43808, "time": 0.39818} -{"mode": "train", "epoch": 105, "iter": 132400, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.2397, "decode.acc_seg": 73.1628, "aux.loss_seg": 0.19145, "aux.acc_seg": 66.75477, "loss": 0.43115, "time": 0.39514} -{"mode": "train", "epoch": 105, "iter": 132450, "lr": 1e-05, "memory": 17837, "data_time": 0.00657, "decode.loss_seg": 0.24988, "decode.acc_seg": 72.52059, "aux.loss_seg": 0.2041, "aux.acc_seg": 65.45661, "loss": 0.45397, "time": 0.40429} -{"mode": "train", "epoch": 105, "iter": 132500, "lr": 1e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.25547, "decode.acc_seg": 73.23963, "aux.loss_seg": 0.20315, "aux.acc_seg": 66.38507, "loss": 0.45862, "time": 0.40426} -{"mode": "train", "epoch": 105, "iter": 132550, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.24293, "decode.acc_seg": 72.78529, "aux.loss_seg": 0.19836, "aux.acc_seg": 66.13715, "loss": 0.4413, "time": 0.39409} -{"mode": "train", "epoch": 105, "iter": 132600, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.25048, "decode.acc_seg": 74.07907, "aux.loss_seg": 0.20333, "aux.acc_seg": 67.32555, "loss": 0.45381, "time": 0.39239} -{"mode": "train", "epoch": 106, "iter": 132650, "lr": 1e-05, "memory": 17837, "data_time": 0.24326, "decode.loss_seg": 0.25646, "decode.acc_seg": 72.47069, "aux.loss_seg": 0.19482, "aux.acc_seg": 66.56983, "loss": 0.45128, "time": 0.63423} -{"mode": "train", "epoch": 106, "iter": 132700, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23531, "decode.acc_seg": 72.72352, "aux.loss_seg": 0.19337, "aux.acc_seg": 65.98904, "loss": 0.42868, "time": 0.40373} -{"mode": "train", "epoch": 106, "iter": 132750, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.2456, "decode.acc_seg": 73.38157, "aux.loss_seg": 0.2023, "aux.acc_seg": 66.51898, "loss": 0.4479, "time": 0.41276} -{"mode": "train", "epoch": 106, "iter": 132800, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.23375, "decode.acc_seg": 73.18021, "aux.loss_seg": 0.18024, "aux.acc_seg": 67.48644, "loss": 0.41399, "time": 0.3974} -{"mode": "train", "epoch": 106, "iter": 132850, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.2519, "decode.acc_seg": 72.37186, "aux.loss_seg": 0.19974, "aux.acc_seg": 65.74563, "loss": 0.45165, "time": 0.404} -{"mode": "train", "epoch": 106, "iter": 132900, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25373, "decode.acc_seg": 72.30172, "aux.loss_seg": 0.20225, "aux.acc_seg": 65.63173, "loss": 0.45598, "time": 0.40038} -{"mode": "train", "epoch": 106, "iter": 132950, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.25157, "decode.acc_seg": 72.14669, "aux.loss_seg": 0.19991, "aux.acc_seg": 65.57547, "loss": 0.45149, "time": 0.40069} -{"mode": "train", "epoch": 106, "iter": 133000, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.23741, "decode.acc_seg": 72.60094, "aux.loss_seg": 0.18639, "aux.acc_seg": 66.56202, "loss": 0.42381, "time": 0.42019} -{"mode": "train", "epoch": 106, "iter": 133050, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.25487, "decode.acc_seg": 72.50074, "aux.loss_seg": 0.20269, "aux.acc_seg": 65.61584, "loss": 0.45757, "time": 0.39885} -{"mode": "train", "epoch": 106, "iter": 133100, "lr": 1e-05, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.25309, "decode.acc_seg": 72.77919, "aux.loss_seg": 0.20799, "aux.acc_seg": 65.76501, "loss": 0.46108, "time": 0.39989} -{"mode": "train", "epoch": 106, "iter": 133150, "lr": 1e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.24426, "decode.acc_seg": 73.63012, "aux.loss_seg": 0.19304, "aux.acc_seg": 66.83793, "loss": 0.43731, "time": 0.40611} -{"mode": "train", "epoch": 106, "iter": 133200, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23244, "decode.acc_seg": 73.22725, "aux.loss_seg": 0.18047, "aux.acc_seg": 67.26117, "loss": 0.41291, "time": 0.39554} -{"mode": "train", "epoch": 106, "iter": 133250, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.24048, "decode.acc_seg": 72.98552, "aux.loss_seg": 0.19236, "aux.acc_seg": 66.36184, "loss": 0.43284, "time": 0.40436} -{"mode": "train", "epoch": 106, "iter": 133300, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.24085, "decode.acc_seg": 73.27396, "aux.loss_seg": 0.19348, "aux.acc_seg": 66.43215, "loss": 0.43433, "time": 0.41471} -{"mode": "train", "epoch": 106, "iter": 133350, "lr": 1e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.23789, "decode.acc_seg": 72.41715, "aux.loss_seg": 0.18728, "aux.acc_seg": 66.33535, "loss": 0.42517, "time": 0.39961} -{"mode": "train", "epoch": 106, "iter": 133400, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24291, "decode.acc_seg": 73.87535, "aux.loss_seg": 0.18685, "aux.acc_seg": 67.68193, "loss": 0.42976, "time": 0.41853} -{"mode": "train", "epoch": 106, "iter": 133450, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.232, "decode.acc_seg": 73.16646, "aux.loss_seg": 0.18351, "aux.acc_seg": 67.0434, "loss": 0.41552, "time": 0.41559} -{"mode": "train", "epoch": 106, "iter": 133500, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.23988, "decode.acc_seg": 73.26872, "aux.loss_seg": 0.19579, "aux.acc_seg": 66.32598, "loss": 0.43568, "time": 0.40101} -{"mode": "train", "epoch": 106, "iter": 133550, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.2343, "decode.acc_seg": 72.20584, "aux.loss_seg": 0.18502, "aux.acc_seg": 66.07164, "loss": 0.41932, "time": 0.39363} -{"mode": "train", "epoch": 106, "iter": 133600, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.24305, "decode.acc_seg": 72.56415, "aux.loss_seg": 0.19712, "aux.acc_seg": 65.6762, "loss": 0.44018, "time": 0.40243} -{"mode": "train", "epoch": 106, "iter": 133650, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23723, "decode.acc_seg": 74.04974, "aux.loss_seg": 0.1898, "aux.acc_seg": 67.81008, "loss": 0.42703, "time": 0.39733} -{"mode": "train", "epoch": 106, "iter": 133700, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.23548, "decode.acc_seg": 71.63836, "aux.loss_seg": 0.19783, "aux.acc_seg": 64.64853, "loss": 0.43331, "time": 0.3968} -{"mode": "train", "epoch": 106, "iter": 133750, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24853, "decode.acc_seg": 72.84407, "aux.loss_seg": 0.19759, "aux.acc_seg": 66.149, "loss": 0.44612, "time": 0.39846} -{"mode": "train", "epoch": 106, "iter": 133800, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24475, "decode.acc_seg": 72.56945, "aux.loss_seg": 0.19716, "aux.acc_seg": 65.78785, "loss": 0.44191, "time": 0.39657} -{"mode": "train", "epoch": 106, "iter": 133850, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.23593, "decode.acc_seg": 72.30876, "aux.loss_seg": 0.19091, "aux.acc_seg": 66.14808, "loss": 0.42684, "time": 0.39626} -{"mode": "train", "epoch": 107, "iter": 133900, "lr": 1e-05, "memory": 17837, "data_time": 0.24053, "decode.loss_seg": 0.24181, "decode.acc_seg": 74.48669, "aux.loss_seg": 0.19476, "aux.acc_seg": 67.98541, "loss": 0.43657, "time": 0.63206} -{"mode": "train", "epoch": 107, "iter": 133950, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.24385, "decode.acc_seg": 71.97283, "aux.loss_seg": 0.18532, "aux.acc_seg": 66.0676, "loss": 0.42917, "time": 0.40076} -{"mode": "train", "epoch": 107, "iter": 134000, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.233, "decode.acc_seg": 72.48246, "aux.loss_seg": 0.19026, "aux.acc_seg": 65.87909, "loss": 0.42326, "time": 0.3927} -{"mode": "train", "epoch": 107, "iter": 134050, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.25203, "decode.acc_seg": 73.49152, "aux.loss_seg": 0.2007, "aux.acc_seg": 66.62577, "loss": 0.45274, "time": 0.39482} -{"mode": "train", "epoch": 107, "iter": 134100, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.26107, "decode.acc_seg": 71.52377, "aux.loss_seg": 0.20496, "aux.acc_seg": 64.66208, "loss": 0.46603, "time": 0.40307} -{"mode": "train", "epoch": 107, "iter": 134150, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23483, "decode.acc_seg": 73.01812, "aux.loss_seg": 0.18713, "aux.acc_seg": 66.85537, "loss": 0.42196, "time": 0.39786} -{"mode": "train", "epoch": 107, "iter": 134200, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23685, "decode.acc_seg": 71.11717, "aux.loss_seg": 0.19251, "aux.acc_seg": 64.70687, "loss": 0.42935, "time": 0.40229} -{"mode": "train", "epoch": 107, "iter": 134250, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23814, "decode.acc_seg": 73.10849, "aux.loss_seg": 0.19176, "aux.acc_seg": 66.65307, "loss": 0.4299, "time": 0.40468} -{"mode": "train", "epoch": 107, "iter": 134300, "lr": 1e-05, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.24768, "decode.acc_seg": 72.81026, "aux.loss_seg": 0.19286, "aux.acc_seg": 66.5704, "loss": 0.44054, "time": 0.40299} -{"mode": "train", "epoch": 107, "iter": 134350, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.23567, "decode.acc_seg": 73.19881, "aux.loss_seg": 0.18539, "aux.acc_seg": 67.11418, "loss": 0.42105, "time": 0.39285} -{"mode": "train", "epoch": 107, "iter": 134400, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.22863, "decode.acc_seg": 72.64693, "aux.loss_seg": 0.1877, "aux.acc_seg": 66.00292, "loss": 0.41633, "time": 0.40033} -{"mode": "train", "epoch": 107, "iter": 134450, "lr": 1e-05, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.2436, "decode.acc_seg": 72.40278, "aux.loss_seg": 0.19355, "aux.acc_seg": 65.94399, "loss": 0.43715, "time": 0.40094} -{"mode": "train", "epoch": 107, "iter": 134500, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.23553, "decode.acc_seg": 73.61567, "aux.loss_seg": 0.18927, "aux.acc_seg": 67.20473, "loss": 0.42481, "time": 0.41935} -{"mode": "train", "epoch": 107, "iter": 134550, "lr": 1e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.25581, "decode.acc_seg": 72.87363, "aux.loss_seg": 0.20034, "aux.acc_seg": 66.38226, "loss": 0.45615, "time": 0.4023} -{"mode": "train", "epoch": 107, "iter": 134600, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24592, "decode.acc_seg": 73.23639, "aux.loss_seg": 0.18692, "aux.acc_seg": 67.37591, "loss": 0.43284, "time": 0.40095} -{"mode": "train", "epoch": 107, "iter": 134650, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24641, "decode.acc_seg": 73.20083, "aux.loss_seg": 0.19123, "aux.acc_seg": 66.95239, "loss": 0.43764, "time": 0.40317} -{"mode": "train", "epoch": 107, "iter": 134700, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.24328, "decode.acc_seg": 72.60523, "aux.loss_seg": 0.18907, "aux.acc_seg": 66.22412, "loss": 0.43235, "time": 0.39754} -{"mode": "train", "epoch": 107, "iter": 134750, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.24307, "decode.acc_seg": 73.72665, "aux.loss_seg": 0.19722, "aux.acc_seg": 67.05583, "loss": 0.44029, "time": 0.40053} -{"mode": "train", "epoch": 107, "iter": 134800, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.24366, "decode.acc_seg": 73.33596, "aux.loss_seg": 0.20361, "aux.acc_seg": 66.11686, "loss": 0.44727, "time": 0.38992} -{"mode": "train", "epoch": 107, "iter": 134850, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.24435, "decode.acc_seg": 73.20239, "aux.loss_seg": 0.19159, "aux.acc_seg": 67.06298, "loss": 0.43594, "time": 0.3935} -{"mode": "train", "epoch": 107, "iter": 134900, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2411, "decode.acc_seg": 73.06473, "aux.loss_seg": 0.19602, "aux.acc_seg": 66.25991, "loss": 0.43713, "time": 0.3916} -{"mode": "train", "epoch": 107, "iter": 134950, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.23907, "decode.acc_seg": 71.8848, "aux.loss_seg": 0.19291, "aux.acc_seg": 65.40843, "loss": 0.43198, "time": 0.39175} -{"mode": "train", "epoch": 107, "iter": 135000, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23484, "decode.acc_seg": 73.65959, "aux.loss_seg": 0.19364, "aux.acc_seg": 66.97685, "loss": 0.42848, "time": 0.39176} -{"mode": "train", "epoch": 107, "iter": 135050, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.23251, "decode.acc_seg": 72.36935, "aux.loss_seg": 0.1872, "aux.acc_seg": 66.17193, "loss": 0.41972, "time": 0.39214} -{"mode": "train", "epoch": 107, "iter": 135100, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.23928, "decode.acc_seg": 71.82874, "aux.loss_seg": 0.18847, "aux.acc_seg": 65.73051, "loss": 0.42775, "time": 0.39503} -{"mode": "train", "epoch": 108, "iter": 135150, "lr": 1e-05, "memory": 17837, "data_time": 0.24552, "decode.loss_seg": 0.2315, "decode.acc_seg": 72.2267, "aux.loss_seg": 0.18846, "aux.acc_seg": 65.9479, "loss": 0.41996, "time": 0.63505} -{"mode": "train", "epoch": 108, "iter": 135200, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.24001, "decode.acc_seg": 73.60976, "aux.loss_seg": 0.19102, "aux.acc_seg": 67.32244, "loss": 0.43103, "time": 0.40568} -{"mode": "train", "epoch": 108, "iter": 135250, "lr": 1e-05, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.23045, "decode.acc_seg": 72.69218, "aux.loss_seg": 0.18486, "aux.acc_seg": 66.50367, "loss": 0.4153, "time": 0.41668} -{"mode": "train", "epoch": 108, "iter": 135300, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2415, "decode.acc_seg": 72.69992, "aux.loss_seg": 0.19549, "aux.acc_seg": 66.16147, "loss": 0.437, "time": 0.41251} -{"mode": "train", "epoch": 108, "iter": 135350, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24335, "decode.acc_seg": 72.37864, "aux.loss_seg": 0.19307, "aux.acc_seg": 65.75796, "loss": 0.43643, "time": 0.39824} -{"mode": "train", "epoch": 108, "iter": 135400, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.23382, "decode.acc_seg": 73.33443, "aux.loss_seg": 0.19271, "aux.acc_seg": 66.57406, "loss": 0.42653, "time": 0.403} -{"mode": "train", "epoch": 108, "iter": 135450, "lr": 1e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.24845, "decode.acc_seg": 73.06032, "aux.loss_seg": 0.19915, "aux.acc_seg": 66.37837, "loss": 0.44759, "time": 0.39954} -{"mode": "train", "epoch": 108, "iter": 135500, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.23887, "decode.acc_seg": 72.05454, "aux.loss_seg": 0.18799, "aux.acc_seg": 65.87889, "loss": 0.42686, "time": 0.39703} -{"mode": "train", "epoch": 108, "iter": 135550, "lr": 1e-05, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.2492, "decode.acc_seg": 72.23336, "aux.loss_seg": 0.19644, "aux.acc_seg": 65.97201, "loss": 0.44564, "time": 0.40543} -{"mode": "train", "epoch": 108, "iter": 135600, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23604, "decode.acc_seg": 72.43931, "aux.loss_seg": 0.19118, "aux.acc_seg": 65.65967, "loss": 0.42722, "time": 0.39499} -{"mode": "train", "epoch": 108, "iter": 135650, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.24298, "decode.acc_seg": 72.77067, "aux.loss_seg": 0.19078, "aux.acc_seg": 66.342, "loss": 0.43376, "time": 0.39342} -{"mode": "train", "epoch": 108, "iter": 135700, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24545, "decode.acc_seg": 73.92999, "aux.loss_seg": 0.19843, "aux.acc_seg": 67.18044, "loss": 0.44387, "time": 0.39534} -{"mode": "train", "epoch": 108, "iter": 135750, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.23573, "decode.acc_seg": 72.74347, "aux.loss_seg": 0.18837, "aux.acc_seg": 66.48682, "loss": 0.42409, "time": 0.39395} -{"mode": "train", "epoch": 108, "iter": 135800, "lr": 1e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.24523, "decode.acc_seg": 73.65514, "aux.loss_seg": 0.19753, "aux.acc_seg": 66.85703, "loss": 0.44276, "time": 0.41463} -{"mode": "train", "epoch": 108, "iter": 135850, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23999, "decode.acc_seg": 73.71248, "aux.loss_seg": 0.19605, "aux.acc_seg": 66.77922, "loss": 0.43604, "time": 0.4043} -{"mode": "train", "epoch": 108, "iter": 135900, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23749, "decode.acc_seg": 72.56071, "aux.loss_seg": 0.1893, "aux.acc_seg": 66.10033, "loss": 0.42679, "time": 0.39114} -{"mode": "train", "epoch": 108, "iter": 135950, "lr": 1e-05, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.23646, "decode.acc_seg": 71.33, "aux.loss_seg": 0.18552, "aux.acc_seg": 65.13386, "loss": 0.42199, "time": 0.41049} -{"mode": "train", "epoch": 108, "iter": 136000, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.25093, "decode.acc_seg": 73.52958, "aux.loss_seg": 0.18983, "aux.acc_seg": 67.5744, "loss": 0.44075, "time": 0.39324} -{"mode": "train", "epoch": 108, "iter": 136050, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.24801, "decode.acc_seg": 73.57386, "aux.loss_seg": 0.20308, "aux.acc_seg": 66.64444, "loss": 0.45109, "time": 0.39262} -{"mode": "train", "epoch": 108, "iter": 136100, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23151, "decode.acc_seg": 73.4944, "aux.loss_seg": 0.18598, "aux.acc_seg": 67.31749, "loss": 0.4175, "time": 0.39969} -{"mode": "train", "epoch": 108, "iter": 136150, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24758, "decode.acc_seg": 73.36864, "aux.loss_seg": 0.19166, "aux.acc_seg": 66.98465, "loss": 0.43923, "time": 0.40332} -{"mode": "train", "epoch": 108, "iter": 136200, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23566, "decode.acc_seg": 73.3864, "aux.loss_seg": 0.18754, "aux.acc_seg": 67.14374, "loss": 0.4232, "time": 0.3976} -{"mode": "train", "epoch": 108, "iter": 136250, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.24846, "decode.acc_seg": 72.72292, "aux.loss_seg": 0.19789, "aux.acc_seg": 66.00203, "loss": 0.44635, "time": 0.40031} -{"mode": "train", "epoch": 108, "iter": 136300, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.2547, "decode.acc_seg": 71.72288, "aux.loss_seg": 0.20086, "aux.acc_seg": 65.30609, "loss": 0.45556, "time": 0.40428} -{"mode": "train", "epoch": 108, "iter": 136350, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.24545, "decode.acc_seg": 73.78811, "aux.loss_seg": 0.20503, "aux.acc_seg": 66.68784, "loss": 0.45047, "time": 0.40056} -{"mode": "train", "epoch": 108, "iter": 136400, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.2423, "decode.acc_seg": 72.2374, "aux.loss_seg": 0.19118, "aux.acc_seg": 65.96288, "loss": 0.43347, "time": 0.39295} -{"mode": "train", "epoch": 109, "iter": 136450, "lr": 1e-05, "memory": 17837, "data_time": 0.24276, "decode.loss_seg": 0.2385, "decode.acc_seg": 72.44365, "aux.loss_seg": 0.18904, "aux.acc_seg": 65.96318, "loss": 0.42754, "time": 0.63346} -{"mode": "train", "epoch": 109, "iter": 136500, "lr": 1e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.23407, "decode.acc_seg": 73.30021, "aux.loss_seg": 0.1866, "aux.acc_seg": 67.17471, "loss": 0.42067, "time": 0.39821} -{"mode": "train", "epoch": 109, "iter": 136550, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.24606, "decode.acc_seg": 71.99855, "aux.loss_seg": 0.19179, "aux.acc_seg": 65.89238, "loss": 0.43785, "time": 0.40273} -{"mode": "train", "epoch": 109, "iter": 136600, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.22583, "decode.acc_seg": 72.28427, "aux.loss_seg": 0.18059, "aux.acc_seg": 66.28934, "loss": 0.40642, "time": 0.39341} -{"mode": "train", "epoch": 109, "iter": 136650, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.24324, "decode.acc_seg": 73.14066, "aux.loss_seg": 0.19652, "aux.acc_seg": 66.6061, "loss": 0.43976, "time": 0.39798} -{"mode": "train", "epoch": 109, "iter": 136700, "lr": 1e-05, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.24739, "decode.acc_seg": 72.67445, "aux.loss_seg": 0.19769, "aux.acc_seg": 66.07957, "loss": 0.44508, "time": 0.40271} -{"mode": "train", "epoch": 109, "iter": 136750, "lr": 1e-05, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.23745, "decode.acc_seg": 73.95538, "aux.loss_seg": 0.19035, "aux.acc_seg": 67.38415, "loss": 0.42779, "time": 0.40444} -{"mode": "train", "epoch": 109, "iter": 136800, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.2273, "decode.acc_seg": 72.89208, "aux.loss_seg": 0.18989, "aux.acc_seg": 66.40609, "loss": 0.41719, "time": 0.39579} -{"mode": "train", "epoch": 109, "iter": 136850, "lr": 1e-05, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.25009, "decode.acc_seg": 72.4434, "aux.loss_seg": 0.19681, "aux.acc_seg": 66.23942, "loss": 0.4469, "time": 0.39637} -{"mode": "train", "epoch": 109, "iter": 136900, "lr": 1e-05, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.24884, "decode.acc_seg": 72.48994, "aux.loss_seg": 0.19961, "aux.acc_seg": 65.87188, "loss": 0.44845, "time": 0.39632} -{"mode": "train", "epoch": 109, "iter": 136950, "lr": 1e-05, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.24761, "decode.acc_seg": 71.63266, "aux.loss_seg": 0.19514, "aux.acc_seg": 65.14969, "loss": 0.44275, "time": 0.39482} -{"mode": "train", "epoch": 109, "iter": 137000, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.24527, "decode.acc_seg": 73.74851, "aux.loss_seg": 0.18838, "aux.acc_seg": 67.59582, "loss": 0.43365, "time": 0.39856} -{"mode": "train", "epoch": 109, "iter": 137050, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24289, "decode.acc_seg": 72.32247, "aux.loss_seg": 0.19583, "aux.acc_seg": 65.99781, "loss": 0.43873, "time": 0.40504} -{"mode": "train", "epoch": 109, "iter": 137100, "lr": 1e-05, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.24663, "decode.acc_seg": 72.76241, "aux.loss_seg": 0.20046, "aux.acc_seg": 66.09826, "loss": 0.44709, "time": 0.40927} -{"mode": "train", "epoch": 109, "iter": 137150, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.25133, "decode.acc_seg": 73.12292, "aux.loss_seg": 0.20723, "aux.acc_seg": 66.0698, "loss": 0.45856, "time": 0.41478} -{"mode": "train", "epoch": 109, "iter": 137200, "lr": 1e-05, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.24698, "decode.acc_seg": 73.00182, "aux.loss_seg": 0.19637, "aux.acc_seg": 66.33069, "loss": 0.44335, "time": 0.40722} -{"mode": "train", "epoch": 109, "iter": 137250, "lr": 1e-05, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.23714, "decode.acc_seg": 72.93007, "aux.loss_seg": 0.18824, "aux.acc_seg": 66.69289, "loss": 0.42538, "time": 0.41651} -{"mode": "train", "epoch": 109, "iter": 137300, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.24179, "decode.acc_seg": 72.76872, "aux.loss_seg": 0.19547, "aux.acc_seg": 66.3128, "loss": 0.43726, "time": 0.40223} -{"mode": "train", "epoch": 109, "iter": 137350, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2345, "decode.acc_seg": 72.26367, "aux.loss_seg": 0.19812, "aux.acc_seg": 65.4145, "loss": 0.43262, "time": 0.41313} -{"mode": "train", "epoch": 109, "iter": 137400, "lr": 1e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.24564, "decode.acc_seg": 73.00687, "aux.loss_seg": 0.19305, "aux.acc_seg": 66.68858, "loss": 0.43869, "time": 0.41913} -{"mode": "train", "epoch": 109, "iter": 137450, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.24021, "decode.acc_seg": 73.46449, "aux.loss_seg": 0.19631, "aux.acc_seg": 66.64926, "loss": 0.43652, "time": 0.40207} -{"mode": "train", "epoch": 109, "iter": 137500, "lr": 1e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.23218, "decode.acc_seg": 73.76381, "aux.loss_seg": 0.19423, "aux.acc_seg": 67.05198, "loss": 0.4264, "time": 0.41291} -{"mode": "train", "epoch": 109, "iter": 137550, "lr": 1e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.25133, "decode.acc_seg": 72.2348, "aux.loss_seg": 0.19663, "aux.acc_seg": 65.9586, "loss": 0.44796, "time": 0.41265} -{"mode": "train", "epoch": 109, "iter": 137600, "lr": 1e-05, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.23248, "decode.acc_seg": 73.56218, "aux.loss_seg": 0.19029, "aux.acc_seg": 67.0803, "loss": 0.42277, "time": 0.39728} -{"mode": "train", "epoch": 109, "iter": 137650, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.22927, "decode.acc_seg": 73.70059, "aux.loss_seg": 0.18981, "aux.acc_seg": 67.12872, "loss": 0.41908, "time": 0.40353} -{"mode": "train", "epoch": 110, "iter": 137700, "lr": 1e-05, "memory": 17837, "data_time": 0.24156, "decode.loss_seg": 0.23516, "decode.acc_seg": 72.87664, "aux.loss_seg": 0.18893, "aux.acc_seg": 66.44061, "loss": 0.42409, "time": 0.6258} -{"mode": "train", "epoch": 110, "iter": 137750, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2446, "decode.acc_seg": 73.5657, "aux.loss_seg": 0.20231, "aux.acc_seg": 66.52502, "loss": 0.4469, "time": 0.39208} -{"mode": "train", "epoch": 110, "iter": 137800, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24856, "decode.acc_seg": 72.08624, "aux.loss_seg": 0.20187, "aux.acc_seg": 65.26345, "loss": 0.45043, "time": 0.39163} -{"mode": "train", "epoch": 110, "iter": 137850, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.24066, "decode.acc_seg": 72.11653, "aux.loss_seg": 0.18859, "aux.acc_seg": 65.84548, "loss": 0.42925, "time": 0.39974} -{"mode": "train", "epoch": 110, "iter": 137900, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23184, "decode.acc_seg": 71.54203, "aux.loss_seg": 0.18618, "aux.acc_seg": 65.23738, "loss": 0.41802, "time": 0.40628} -{"mode": "train", "epoch": 110, "iter": 137950, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.25733, "decode.acc_seg": 71.77549, "aux.loss_seg": 0.19848, "aux.acc_seg": 65.28202, "loss": 0.45581, "time": 0.3952} -{"mode": "train", "epoch": 110, "iter": 138000, "lr": 1e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.2374, "decode.acc_seg": 72.58913, "aux.loss_seg": 0.19124, "aux.acc_seg": 66.23649, "loss": 0.42863, "time": 0.39564} -{"mode": "train", "epoch": 110, "iter": 138050, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23164, "decode.acc_seg": 74.32445, "aux.loss_seg": 0.19772, "aux.acc_seg": 67.36392, "loss": 0.42936, "time": 0.41349} -{"mode": "train", "epoch": 110, "iter": 138100, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.2362, "decode.acc_seg": 72.85152, "aux.loss_seg": 0.19463, "aux.acc_seg": 66.21906, "loss": 0.43083, "time": 0.4036} -{"mode": "train", "epoch": 110, "iter": 138150, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.23066, "decode.acc_seg": 71.87851, "aux.loss_seg": 0.18413, "aux.acc_seg": 65.80167, "loss": 0.41479, "time": 0.39656} -{"mode": "train", "epoch": 110, "iter": 138200, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24897, "decode.acc_seg": 73.02844, "aux.loss_seg": 0.19435, "aux.acc_seg": 66.44364, "loss": 0.44332, "time": 0.39716} -{"mode": "train", "epoch": 110, "iter": 138250, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.22546, "decode.acc_seg": 73.82944, "aux.loss_seg": 0.18632, "aux.acc_seg": 67.20305, "loss": 0.41178, "time": 0.39723} -{"mode": "train", "epoch": 110, "iter": 138300, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23587, "decode.acc_seg": 73.23749, "aux.loss_seg": 0.19026, "aux.acc_seg": 66.72518, "loss": 0.42614, "time": 0.41056} -{"mode": "train", "epoch": 110, "iter": 138350, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.25717, "decode.acc_seg": 74.84233, "aux.loss_seg": 0.1962, "aux.acc_seg": 68.70882, "loss": 0.45338, "time": 0.39339} -{"mode": "train", "epoch": 110, "iter": 138400, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.22951, "decode.acc_seg": 72.99221, "aux.loss_seg": 0.184, "aux.acc_seg": 66.99574, "loss": 0.41351, "time": 0.39449} -{"mode": "train", "epoch": 110, "iter": 138450, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24534, "decode.acc_seg": 72.41263, "aux.loss_seg": 0.19342, "aux.acc_seg": 66.07681, "loss": 0.43875, "time": 0.39335} -{"mode": "train", "epoch": 110, "iter": 138500, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.24328, "decode.acc_seg": 73.82851, "aux.loss_seg": 0.19336, "aux.acc_seg": 67.69458, "loss": 0.43664, "time": 0.39531} -{"mode": "train", "epoch": 110, "iter": 138550, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23657, "decode.acc_seg": 73.17822, "aux.loss_seg": 0.18965, "aux.acc_seg": 66.76004, "loss": 0.42622, "time": 0.4016} -{"mode": "train", "epoch": 110, "iter": 138600, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.24011, "decode.acc_seg": 73.12673, "aux.loss_seg": 0.19385, "aux.acc_seg": 66.49123, "loss": 0.43396, "time": 0.40041} -{"mode": "train", "epoch": 110, "iter": 138650, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.26294, "decode.acc_seg": 72.49221, "aux.loss_seg": 0.20254, "aux.acc_seg": 65.89223, "loss": 0.46548, "time": 0.40101} -{"mode": "train", "epoch": 110, "iter": 138700, "lr": 1e-05, "memory": 17837, "data_time": 0.00674, "decode.loss_seg": 0.24608, "decode.acc_seg": 72.48797, "aux.loss_seg": 0.19595, "aux.acc_seg": 65.7549, "loss": 0.44203, "time": 0.39805} -{"mode": "train", "epoch": 110, "iter": 138750, "lr": 1e-05, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.23725, "decode.acc_seg": 72.27326, "aux.loss_seg": 0.19934, "aux.acc_seg": 65.20841, "loss": 0.43659, "time": 0.40378} -{"mode": "train", "epoch": 110, "iter": 138800, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24574, "decode.acc_seg": 72.8883, "aux.loss_seg": 0.19614, "aux.acc_seg": 66.33368, "loss": 0.44188, "time": 0.40243} -{"mode": "train", "epoch": 110, "iter": 138850, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23276, "decode.acc_seg": 72.69578, "aux.loss_seg": 0.19072, "aux.acc_seg": 66.04524, "loss": 0.42348, "time": 0.41694} -{"mode": "train", "epoch": 110, "iter": 138900, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23257, "decode.acc_seg": 73.47916, "aux.loss_seg": 0.18293, "aux.acc_seg": 67.32309, "loss": 0.41551, "time": 0.4135} -{"mode": "train", "epoch": 111, "iter": 138950, "lr": 1e-05, "memory": 17837, "data_time": 0.24497, "decode.loss_seg": 0.23816, "decode.acc_seg": 72.62161, "aux.loss_seg": 0.1956, "aux.acc_seg": 65.696, "loss": 0.43376, "time": 0.64447} -{"mode": "train", "epoch": 111, "iter": 139000, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.24223, "decode.acc_seg": 72.83762, "aux.loss_seg": 0.19259, "aux.acc_seg": 66.33381, "loss": 0.43482, "time": 0.39683} -{"mode": "train", "epoch": 111, "iter": 139050, "lr": 1e-05, "memory": 17837, "data_time": 0.00681, "decode.loss_seg": 0.24487, "decode.acc_seg": 72.41462, "aux.loss_seg": 0.19763, "aux.acc_seg": 65.90056, "loss": 0.44251, "time": 0.3993} -{"mode": "train", "epoch": 111, "iter": 139100, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.22923, "decode.acc_seg": 73.75042, "aux.loss_seg": 0.18632, "aux.acc_seg": 67.76208, "loss": 0.41555, "time": 0.3998} -{"mode": "train", "epoch": 111, "iter": 139150, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.24241, "decode.acc_seg": 71.3987, "aux.loss_seg": 0.19001, "aux.acc_seg": 65.03964, "loss": 0.43242, "time": 0.39639} -{"mode": "train", "epoch": 111, "iter": 139200, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23998, "decode.acc_seg": 73.58899, "aux.loss_seg": 0.19556, "aux.acc_seg": 66.83334, "loss": 0.43554, "time": 0.39424} -{"mode": "train", "epoch": 111, "iter": 139250, "lr": 1e-05, "memory": 17837, "data_time": 0.00677, "decode.loss_seg": 0.24008, "decode.acc_seg": 73.21177, "aux.loss_seg": 0.19011, "aux.acc_seg": 66.69635, "loss": 0.43019, "time": 0.40527} -{"mode": "train", "epoch": 111, "iter": 139300, "lr": 1e-05, "memory": 17837, "data_time": 0.0066, "decode.loss_seg": 0.25028, "decode.acc_seg": 73.14715, "aux.loss_seg": 0.195, "aux.acc_seg": 66.87298, "loss": 0.44528, "time": 0.39484} -{"mode": "train", "epoch": 111, "iter": 139350, "lr": 1e-05, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.22511, "decode.acc_seg": 71.25854, "aux.loss_seg": 0.18128, "aux.acc_seg": 64.94578, "loss": 0.40639, "time": 0.40423} -{"mode": "train", "epoch": 111, "iter": 139400, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23437, "decode.acc_seg": 73.85414, "aux.loss_seg": 0.19078, "aux.acc_seg": 67.55957, "loss": 0.42515, "time": 0.3944} -{"mode": "train", "epoch": 111, "iter": 139450, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.23678, "decode.acc_seg": 72.5361, "aux.loss_seg": 0.18893, "aux.acc_seg": 66.19286, "loss": 0.42571, "time": 0.40598} -{"mode": "train", "epoch": 111, "iter": 139500, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23426, "decode.acc_seg": 72.16791, "aux.loss_seg": 0.18634, "aux.acc_seg": 65.99065, "loss": 0.4206, "time": 0.41254} -{"mode": "train", "epoch": 111, "iter": 139550, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.23868, "decode.acc_seg": 71.50779, "aux.loss_seg": 0.19055, "aux.acc_seg": 65.0303, "loss": 0.42923, "time": 0.39584} -{"mode": "train", "epoch": 111, "iter": 139600, "lr": 1e-05, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.23715, "decode.acc_seg": 73.93916, "aux.loss_seg": 0.19686, "aux.acc_seg": 66.91516, "loss": 0.43401, "time": 0.42337} -{"mode": "train", "epoch": 111, "iter": 139650, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.24132, "decode.acc_seg": 72.50715, "aux.loss_seg": 0.1962, "aux.acc_seg": 65.84151, "loss": 0.43752, "time": 0.40478} -{"mode": "train", "epoch": 111, "iter": 139700, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24553, "decode.acc_seg": 73.87314, "aux.loss_seg": 0.19694, "aux.acc_seg": 67.46693, "loss": 0.44247, "time": 0.3978} -{"mode": "train", "epoch": 111, "iter": 139750, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.24556, "decode.acc_seg": 72.73886, "aux.loss_seg": 0.1884, "aux.acc_seg": 66.72189, "loss": 0.43396, "time": 0.39861} -{"mode": "train", "epoch": 111, "iter": 139800, "lr": 1e-05, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.25293, "decode.acc_seg": 71.72922, "aux.loss_seg": 0.19183, "aux.acc_seg": 65.78692, "loss": 0.44476, "time": 0.41235} -{"mode": "train", "epoch": 111, "iter": 139850, "lr": 1e-05, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23369, "decode.acc_seg": 71.88249, "aux.loss_seg": 0.19061, "aux.acc_seg": 65.51781, "loss": 0.42429, "time": 0.39767} -{"mode": "train", "epoch": 111, "iter": 139900, "lr": 1e-05, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.24291, "decode.acc_seg": 72.1651, "aux.loss_seg": 0.18649, "aux.acc_seg": 65.99747, "loss": 0.42941, "time": 0.41129} -{"mode": "train", "epoch": 111, "iter": 139950, "lr": 1e-05, "memory": 17837, "data_time": 0.0071, "decode.loss_seg": 0.2421, "decode.acc_seg": 73.00353, "aux.loss_seg": 0.19125, "aux.acc_seg": 66.57478, "loss": 0.43335, "time": 0.39649} -{"mode": "train", "epoch": 111, "iter": 140000, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24704, "decode.acc_seg": 72.46881, "aux.loss_seg": 0.19366, "aux.acc_seg": 66.15312, "loss": 0.44069, "time": 0.39578} -{"mode": "train", "epoch": 111, "iter": 140050, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24796, "decode.acc_seg": 72.91209, "aux.loss_seg": 0.20091, "aux.acc_seg": 65.99185, "loss": 0.44887, "time": 0.39535} -{"mode": "train", "epoch": 111, "iter": 140100, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24287, "decode.acc_seg": 72.45423, "aux.loss_seg": 0.1942, "aux.acc_seg": 65.95991, "loss": 0.43707, "time": 0.39468} -{"mode": "train", "epoch": 111, "iter": 140150, "lr": 1e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.23608, "decode.acc_seg": 73.83486, "aux.loss_seg": 0.18911, "aux.acc_seg": 67.50381, "loss": 0.42519, "time": 0.40309} -{"mode": "train", "epoch": 112, "iter": 140200, "lr": 1e-05, "memory": 17837, "data_time": 0.23753, "decode.loss_seg": 0.25014, "decode.acc_seg": 72.23086, "aux.loss_seg": 0.2021, "aux.acc_seg": 65.47062, "loss": 0.45224, "time": 0.62599} -{"mode": "train", "epoch": 112, "iter": 140250, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.2237, "decode.acc_seg": 72.26961, "aux.loss_seg": 0.18103, "aux.acc_seg": 66.0329, "loss": 0.40472, "time": 0.39167} -{"mode": "train", "epoch": 112, "iter": 140300, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.22179, "decode.acc_seg": 73.58943, "aux.loss_seg": 0.18494, "aux.acc_seg": 67.28857, "loss": 0.40673, "time": 0.39684} -{"mode": "train", "epoch": 112, "iter": 140350, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23861, "decode.acc_seg": 72.68827, "aux.loss_seg": 0.19345, "aux.acc_seg": 66.10652, "loss": 0.43206, "time": 0.39591} -{"mode": "train", "epoch": 112, "iter": 140400, "lr": 1e-05, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.24562, "decode.acc_seg": 74.14085, "aux.loss_seg": 0.19673, "aux.acc_seg": 67.57372, "loss": 0.44235, "time": 0.40804} -{"mode": "train", "epoch": 112, "iter": 140450, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.22986, "decode.acc_seg": 72.85292, "aux.loss_seg": 0.19521, "aux.acc_seg": 66.18968, "loss": 0.42506, "time": 0.39672} -{"mode": "train", "epoch": 112, "iter": 140500, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.23914, "decode.acc_seg": 73.61832, "aux.loss_seg": 0.19795, "aux.acc_seg": 66.7607, "loss": 0.43709, "time": 0.40335} -{"mode": "train", "epoch": 112, "iter": 140550, "lr": 1e-05, "memory": 17837, "data_time": 0.00617, "decode.loss_seg": 0.22915, "decode.acc_seg": 73.4554, "aux.loss_seg": 0.17686, "aux.acc_seg": 67.87822, "loss": 0.40601, "time": 0.39702} -{"mode": "train", "epoch": 112, "iter": 140600, "lr": 1e-05, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23683, "decode.acc_seg": 71.4003, "aux.loss_seg": 0.18698, "aux.acc_seg": 65.32725, "loss": 0.42381, "time": 0.41458} -{"mode": "train", "epoch": 112, "iter": 140650, "lr": 1e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.23874, "decode.acc_seg": 72.79656, "aux.loss_seg": 0.19514, "aux.acc_seg": 66.02788, "loss": 0.43388, "time": 0.40442} -{"mode": "train", "epoch": 112, "iter": 140700, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.22487, "decode.acc_seg": 73.48181, "aux.loss_seg": 0.18281, "aux.acc_seg": 67.17075, "loss": 0.40767, "time": 0.41149} -{"mode": "train", "epoch": 112, "iter": 140750, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23005, "decode.acc_seg": 71.02995, "aux.loss_seg": 0.18407, "aux.acc_seg": 64.9519, "loss": 0.41412, "time": 0.39783} -{"mode": "train", "epoch": 112, "iter": 140800, "lr": 1e-05, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23573, "decode.acc_seg": 73.1599, "aux.loss_seg": 0.19277, "aux.acc_seg": 66.51491, "loss": 0.4285, "time": 0.4149} -{"mode": "train", "epoch": 112, "iter": 140850, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23724, "decode.acc_seg": 72.30805, "aux.loss_seg": 0.18362, "aux.acc_seg": 66.40312, "loss": 0.42086, "time": 0.39749} -{"mode": "train", "epoch": 112, "iter": 140900, "lr": 1e-05, "memory": 17837, "data_time": 0.00675, "decode.loss_seg": 0.22467, "decode.acc_seg": 72.98786, "aux.loss_seg": 0.18671, "aux.acc_seg": 66.60955, "loss": 0.41138, "time": 0.39969} -{"mode": "train", "epoch": 112, "iter": 140950, "lr": 1e-05, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.23716, "decode.acc_seg": 73.71009, "aux.loss_seg": 0.18319, "aux.acc_seg": 67.83969, "loss": 0.42035, "time": 0.39478} -{"mode": "train", "epoch": 112, "iter": 141000, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23038, "decode.acc_seg": 71.66453, "aux.loss_seg": 0.18651, "aux.acc_seg": 65.39707, "loss": 0.41689, "time": 0.3967} -{"mode": "train", "epoch": 112, "iter": 141050, "lr": 1e-05, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.23907, "decode.acc_seg": 73.25236, "aux.loss_seg": 0.18531, "aux.acc_seg": 67.40782, "loss": 0.42437, "time": 0.42054} -{"mode": "train", "epoch": 112, "iter": 141100, "lr": 1e-05, "memory": 17837, "data_time": 0.00705, "decode.loss_seg": 0.24242, "decode.acc_seg": 72.72193, "aux.loss_seg": 0.19685, "aux.acc_seg": 66.24529, "loss": 0.43928, "time": 0.40003} -{"mode": "train", "epoch": 112, "iter": 141150, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24362, "decode.acc_seg": 73.97284, "aux.loss_seg": 0.19494, "aux.acc_seg": 67.43942, "loss": 0.43856, "time": 0.39222} -{"mode": "train", "epoch": 112, "iter": 141200, "lr": 1e-05, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.23182, "decode.acc_seg": 71.98767, "aux.loss_seg": 0.1829, "aux.acc_seg": 65.90632, "loss": 0.41472, "time": 0.39963} -{"mode": "train", "epoch": 112, "iter": 141250, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24947, "decode.acc_seg": 73.07812, "aux.loss_seg": 0.1972, "aux.acc_seg": 66.52626, "loss": 0.44667, "time": 0.39635} -{"mode": "train", "epoch": 112, "iter": 141300, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24664, "decode.acc_seg": 73.05813, "aux.loss_seg": 0.19363, "aux.acc_seg": 66.46509, "loss": 0.44027, "time": 0.39948} -{"mode": "train", "epoch": 112, "iter": 141350, "lr": 1e-05, "memory": 17837, "data_time": 0.00619, "decode.loss_seg": 0.24201, "decode.acc_seg": 72.19821, "aux.loss_seg": 0.19992, "aux.acc_seg": 65.43458, "loss": 0.44193, "time": 0.39333} -{"mode": "train", "epoch": 112, "iter": 141400, "lr": 1e-05, "memory": 17837, "data_time": 0.00694, "decode.loss_seg": 0.24051, "decode.acc_seg": 74.31371, "aux.loss_seg": 0.19759, "aux.acc_seg": 67.57023, "loss": 0.4381, "time": 0.40833} -{"mode": "train", "epoch": 112, "iter": 141450, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23713, "decode.acc_seg": 74.2747, "aux.loss_seg": 0.189, "aux.acc_seg": 68.13135, "loss": 0.42613, "time": 0.39582} -{"mode": "train", "epoch": 113, "iter": 141500, "lr": 1e-05, "memory": 17837, "data_time": 0.24268, "decode.loss_seg": 0.22903, "decode.acc_seg": 72.58165, "aux.loss_seg": 0.18859, "aux.acc_seg": 65.78957, "loss": 0.41762, "time": 0.63378} -{"mode": "train", "epoch": 113, "iter": 141550, "lr": 1e-05, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.23817, "decode.acc_seg": 72.72621, "aux.loss_seg": 0.18352, "aux.acc_seg": 67.06842, "loss": 0.42169, "time": 0.39692} -{"mode": "train", "epoch": 113, "iter": 141600, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.23896, "decode.acc_seg": 72.87676, "aux.loss_seg": 0.18931, "aux.acc_seg": 66.62117, "loss": 0.42828, "time": 0.41582} -{"mode": "train", "epoch": 113, "iter": 141650, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23121, "decode.acc_seg": 73.87333, "aux.loss_seg": 0.18766, "aux.acc_seg": 67.08798, "loss": 0.41888, "time": 0.39655} -{"mode": "train", "epoch": 113, "iter": 141700, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.23929, "decode.acc_seg": 72.714, "aux.loss_seg": 0.1916, "aux.acc_seg": 66.31811, "loss": 0.43088, "time": 0.40884} -{"mode": "train", "epoch": 113, "iter": 141750, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.24375, "decode.acc_seg": 74.2376, "aux.loss_seg": 0.19598, "aux.acc_seg": 67.52535, "loss": 0.43973, "time": 0.39891} -{"mode": "train", "epoch": 113, "iter": 141800, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.24506, "decode.acc_seg": 72.7625, "aux.loss_seg": 0.18991, "aux.acc_seg": 66.74154, "loss": 0.43497, "time": 0.41888} -{"mode": "train", "epoch": 113, "iter": 141850, "lr": 1e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.23686, "decode.acc_seg": 72.30249, "aux.loss_seg": 0.19044, "aux.acc_seg": 65.84883, "loss": 0.4273, "time": 0.39473} -{"mode": "train", "epoch": 113, "iter": 141900, "lr": 1e-05, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.24919, "decode.acc_seg": 71.97751, "aux.loss_seg": 0.19335, "aux.acc_seg": 65.77515, "loss": 0.44254, "time": 0.39671} -{"mode": "train", "epoch": 113, "iter": 141950, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23002, "decode.acc_seg": 72.16334, "aux.loss_seg": 0.1968, "aux.acc_seg": 65.08467, "loss": 0.42682, "time": 0.41992} -{"mode": "train", "epoch": 113, "iter": 142000, "lr": 1e-05, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23578, "decode.acc_seg": 72.78352, "aux.loss_seg": 0.19137, "aux.acc_seg": 66.29693, "loss": 0.42714, "time": 0.39923} -{"mode": "train", "epoch": 113, "iter": 142050, "lr": 1e-05, "memory": 17837, "data_time": 0.00571, "decode.loss_seg": 0.2365, "decode.acc_seg": 72.20191, "aux.loss_seg": 0.18265, "aux.acc_seg": 65.95358, "loss": 0.41915, "time": 0.40065} -{"mode": "train", "epoch": 113, "iter": 142100, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.241, "decode.acc_seg": 72.47003, "aux.loss_seg": 0.18999, "aux.acc_seg": 66.01832, "loss": 0.43099, "time": 0.39772} -{"mode": "train", "epoch": 113, "iter": 142150, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.23042, "decode.acc_seg": 74.08987, "aux.loss_seg": 0.18436, "aux.acc_seg": 67.90164, "loss": 0.41477, "time": 0.39741} -{"mode": "train", "epoch": 113, "iter": 142200, "lr": 1e-05, "memory": 17837, "data_time": 0.00572, "decode.loss_seg": 0.23509, "decode.acc_seg": 73.55996, "aux.loss_seg": 0.19332, "aux.acc_seg": 66.73041, "loss": 0.42841, "time": 0.3922} -{"mode": "train", "epoch": 113, "iter": 142250, "lr": 1e-05, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23519, "decode.acc_seg": 73.31364, "aux.loss_seg": 0.19432, "aux.acc_seg": 66.27318, "loss": 0.42951, "time": 0.40246} -{"mode": "train", "epoch": 113, "iter": 142300, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.24157, "decode.acc_seg": 74.68325, "aux.loss_seg": 0.1915, "aux.acc_seg": 68.41822, "loss": 0.43306, "time": 0.39442} -{"mode": "train", "epoch": 113, "iter": 142350, "lr": 1e-05, "memory": 17837, "data_time": 0.00575, "decode.loss_seg": 0.24151, "decode.acc_seg": 73.12801, "aux.loss_seg": 0.20049, "aux.acc_seg": 66.1542, "loss": 0.44199, "time": 0.4044} -{"mode": "train", "epoch": 113, "iter": 142400, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.23777, "decode.acc_seg": 71.95536, "aux.loss_seg": 0.18744, "aux.acc_seg": 65.53594, "loss": 0.42521, "time": 0.39047} -{"mode": "train", "epoch": 113, "iter": 142450, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23471, "decode.acc_seg": 72.65193, "aux.loss_seg": 0.19313, "aux.acc_seg": 66.4829, "loss": 0.42784, "time": 0.40557} -{"mode": "train", "epoch": 113, "iter": 142500, "lr": 1e-05, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23451, "decode.acc_seg": 72.66636, "aux.loss_seg": 0.18191, "aux.acc_seg": 66.63354, "loss": 0.41641, "time": 0.40991} -{"mode": "train", "epoch": 113, "iter": 142550, "lr": 1e-05, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.24711, "decode.acc_seg": 71.74533, "aux.loss_seg": 0.1988, "aux.acc_seg": 65.02155, "loss": 0.44591, "time": 0.40612} -{"mode": "train", "epoch": 113, "iter": 142600, "lr": 1e-05, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23322, "decode.acc_seg": 73.17617, "aux.loss_seg": 0.19207, "aux.acc_seg": 66.50878, "loss": 0.42529, "time": 0.39934} -{"mode": "train", "epoch": 113, "iter": 142650, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.23842, "decode.acc_seg": 72.49351, "aux.loss_seg": 0.18372, "aux.acc_seg": 66.75604, "loss": 0.42213, "time": 0.40939} -{"mode": "train", "epoch": 113, "iter": 142700, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.25096, "decode.acc_seg": 74.41238, "aux.loss_seg": 0.19989, "aux.acc_seg": 67.94327, "loss": 0.45085, "time": 0.39192} -{"mode": "train", "epoch": 114, "iter": 142750, "lr": 1e-05, "memory": 17837, "data_time": 0.24517, "decode.loss_seg": 0.23705, "decode.acc_seg": 71.63977, "aux.loss_seg": 0.18776, "aux.acc_seg": 65.47608, "loss": 0.4248, "time": 0.63219} -{"mode": "train", "epoch": 114, "iter": 142800, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.24122, "decode.acc_seg": 71.70665, "aux.loss_seg": 0.19534, "aux.acc_seg": 65.06785, "loss": 0.43655, "time": 0.39604} -{"mode": "train", "epoch": 114, "iter": 142850, "lr": 1e-05, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.24514, "decode.acc_seg": 72.72717, "aux.loss_seg": 0.20045, "aux.acc_seg": 66.08358, "loss": 0.44559, "time": 0.39821} -{"mode": "train", "epoch": 114, "iter": 142900, "lr": 1e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.25244, "decode.acc_seg": 71.6632, "aux.loss_seg": 0.20511, "aux.acc_seg": 64.64109, "loss": 0.45756, "time": 0.40429} -{"mode": "train", "epoch": 114, "iter": 142950, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.2468, "decode.acc_seg": 73.68254, "aux.loss_seg": 0.19155, "aux.acc_seg": 67.46651, "loss": 0.43835, "time": 0.4136} -{"mode": "train", "epoch": 114, "iter": 143000, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23394, "decode.acc_seg": 73.90235, "aux.loss_seg": 0.19533, "aux.acc_seg": 66.90569, "loss": 0.42926, "time": 0.40675} -{"mode": "train", "epoch": 114, "iter": 143050, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.2324, "decode.acc_seg": 73.97315, "aux.loss_seg": 0.1855, "aux.acc_seg": 67.85375, "loss": 0.41789, "time": 0.41873} -{"mode": "train", "epoch": 114, "iter": 143100, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.2405, "decode.acc_seg": 75.14391, "aux.loss_seg": 0.18899, "aux.acc_seg": 68.67308, "loss": 0.4295, "time": 0.39324} -{"mode": "train", "epoch": 114, "iter": 143150, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24106, "decode.acc_seg": 72.43379, "aux.loss_seg": 0.18963, "aux.acc_seg": 66.13035, "loss": 0.43069, "time": 0.39952} -{"mode": "train", "epoch": 114, "iter": 143200, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.228, "decode.acc_seg": 72.83595, "aux.loss_seg": 0.18398, "aux.acc_seg": 66.79539, "loss": 0.41198, "time": 0.39856} -{"mode": "train", "epoch": 114, "iter": 143250, "lr": 1e-05, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.24157, "decode.acc_seg": 73.86224, "aux.loss_seg": 0.19157, "aux.acc_seg": 67.27176, "loss": 0.43314, "time": 0.40052} -{"mode": "train", "epoch": 114, "iter": 143300, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23438, "decode.acc_seg": 73.72253, "aux.loss_seg": 0.18959, "aux.acc_seg": 66.96785, "loss": 0.42396, "time": 0.39235} -{"mode": "train", "epoch": 114, "iter": 143350, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23181, "decode.acc_seg": 72.22157, "aux.loss_seg": 0.1864, "aux.acc_seg": 66.00366, "loss": 0.41822, "time": 0.3986} -{"mode": "train", "epoch": 114, "iter": 143400, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.22953, "decode.acc_seg": 72.30965, "aux.loss_seg": 0.17866, "aux.acc_seg": 66.45939, "loss": 0.40819, "time": 0.40236} -{"mode": "train", "epoch": 114, "iter": 143450, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.22996, "decode.acc_seg": 73.94131, "aux.loss_seg": 0.1821, "aux.acc_seg": 67.8546, "loss": 0.41206, "time": 0.39523} -{"mode": "train", "epoch": 114, "iter": 143500, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.24371, "decode.acc_seg": 73.29338, "aux.loss_seg": 0.19843, "aux.acc_seg": 66.74846, "loss": 0.44214, "time": 0.4014} -{"mode": "train", "epoch": 114, "iter": 143550, "lr": 1e-05, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.23051, "decode.acc_seg": 72.083, "aux.loss_seg": 0.1826, "aux.acc_seg": 65.87896, "loss": 0.41311, "time": 0.39256} -{"mode": "train", "epoch": 114, "iter": 143600, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.22635, "decode.acc_seg": 72.22001, "aux.loss_seg": 0.18527, "aux.acc_seg": 65.96019, "loss": 0.41163, "time": 0.39249} -{"mode": "train", "epoch": 114, "iter": 143650, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.2308, "decode.acc_seg": 73.5527, "aux.loss_seg": 0.19271, "aux.acc_seg": 66.65907, "loss": 0.42351, "time": 0.39649} -{"mode": "train", "epoch": 114, "iter": 143700, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23031, "decode.acc_seg": 73.0113, "aux.loss_seg": 0.18879, "aux.acc_seg": 66.41157, "loss": 0.4191, "time": 0.39632} -{"mode": "train", "epoch": 114, "iter": 143750, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23721, "decode.acc_seg": 72.08986, "aux.loss_seg": 0.19272, "aux.acc_seg": 65.44377, "loss": 0.42993, "time": 0.39647} -{"mode": "train", "epoch": 114, "iter": 143800, "lr": 1e-05, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23111, "decode.acc_seg": 73.5689, "aux.loss_seg": 0.18992, "aux.acc_seg": 66.99341, "loss": 0.42103, "time": 0.39622} -{"mode": "train", "epoch": 114, "iter": 143850, "lr": 1e-05, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.22999, "decode.acc_seg": 72.87052, "aux.loss_seg": 0.18438, "aux.acc_seg": 66.48491, "loss": 0.41437, "time": 0.40901} -{"mode": "train", "epoch": 114, "iter": 143900, "lr": 1e-05, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.24001, "decode.acc_seg": 73.06017, "aux.loss_seg": 0.19609, "aux.acc_seg": 66.52, "loss": 0.4361, "time": 0.42127} -{"mode": "train", "epoch": 114, "iter": 143950, "lr": 1e-05, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23969, "decode.acc_seg": 70.94354, "aux.loss_seg": 0.19612, "aux.acc_seg": 64.30383, "loss": 0.43581, "time": 0.41447} -{"mode": "val", "epoch": 115, "iter": 144000, "lr": 1e-05, "mIoU": 0.4573, "mAcc": 0.5766, "aAcc": 0.8134, "IoU.wall": 0.7525, "IoU.building": 0.8018, "IoU.sky": 0.9376, "IoU.floor": 0.7953, "IoU.tree": 0.7309, "IoU.ceiling": 0.8243, "IoU.road": 0.8094, "IoU.bed ": 0.8576, "IoU.windowpane": 0.6063, "IoU.grass": 0.646, "IoU.cabinet": 0.5813, "IoU.sidewalk": 0.6171, "IoU.person": 0.7546, "IoU.earth": 0.338, "IoU.door": 0.4087, "IoU.table": 0.5472, "IoU.mountain": 0.5859, "IoU.plant": 0.5028, "IoU.curtain": 0.6753, "IoU.chair": 0.5122, "IoU.car": 0.8188, "IoU.water": 0.5009, "IoU.painting": 0.6947, "IoU.sofa": 0.5791, "IoU.shelf": 0.3843, "IoU.house": 0.4674, "IoU.sea": 0.5246, "IoU.mirror": 0.5853, "IoU.rug": 0.6316, "IoU.field": 0.2827, "IoU.armchair": 0.3481, "IoU.seat": 0.5835, "IoU.fence": 0.4281, "IoU.desk": 0.4636, "IoU.rock": 0.4165, "IoU.wardrobe": 0.4391, "IoU.lamp": 0.5691, "IoU.bathtub": 0.7299, "IoU.railing": 0.3299, "IoU.cushion": 0.524, "IoU.base": 0.3014, "IoU.box": 0.2431, "IoU.column": 0.4023, "IoU.signboard": 0.3245, "IoU.chest of drawers": 0.3723, "IoU.counter": 0.2513, "IoU.sand": 0.4285, "IoU.sink": 0.6831, "IoU.skyscraper": 0.6549, "IoU.fireplace": NaN, "IoU.refrigerator": 0.7138, "IoU.grandstand": 0.469, "IoU.path": 0.1986, "IoU.stairs": 0.2795, "IoU.runway": 0.6852, "IoU.case": 0.4568, "IoU.pool table": 0.9062, "IoU.pillow": 0.5524, "IoU.screen door": 0.5463, "IoU.stairway": 0.2452, "IoU.river": 0.1641, "IoU.bridge": 0.5573, "IoU.bookcase": 0.4486, "IoU.blind": NaN, "IoU.coffee table": 0.5334, "IoU.toilet": 0.8071, "IoU.flower": 0.4134, "IoU.book": 0.4409, "IoU.hill": 0.1169, "IoU.bench": 0.3915, "IoU.countertop": 0.4993, "IoU.stove": 0.6616, "IoU.palm": 0.483, "IoU.kitchen island": 0.3747, "IoU.computer": 0.6657, "IoU.swivel chair": 0.4318, "IoU.boat": 0.3973, "IoU.bar": 0.2883, "IoU.arcade machine": 0.4228, "IoU.hovel": 0.3884, "IoU.bus": 0.7837, "IoU.towel": 0.6027, "IoU.light": 0.5044, "IoU.truck": 0.158, "IoU.tower": 0.2891, "IoU.chandelier": 0.6255, "IoU.awning": 0.2363, "IoU.streetlight": 0.1911, "IoU.booth": 0.5169, "IoU.television receiver": NaN, "IoU.airplane": 0.5322, "IoU.dirt track": 0.1683, "IoU.apparel": 0.2861, "IoU.pole": 0.1429, "IoU.land": 0.0438, "IoU.bannister": 0.0411, "IoU.escalator": 0.3114, "IoU.ottoman": 0.3612, "IoU.bottle": NaN, "IoU.buffet": 0.4645, "IoU.poster": 0.2547, "IoU.stage": 0.1414, "IoU.van": 0.3984, "IoU.ship": 0.5488, "IoU.fountain": 0.1916, "IoU.conveyer belt": 0.765, "IoU.canopy": 0.2001, "IoU.washer": 0.6633, "IoU.plaything": 0.1793, "IoU.swimming pool": 0.5978, "IoU.stool": 0.3757, "IoU.barrel": 0.4941, "IoU.basket": 0.2351, "IoU.waterfall": 0.5145, "IoU.tent": 0.9118, "IoU.bag": 0.0679, "IoU.minibike": 0.7178, "IoU.cradle": NaN, "IoU.oven": 0.3559, "IoU.ball": 0.4547, "IoU.food": 0.5231, "IoU.step": 0.0837, "IoU.tank": 0.5464, "IoU.trade name": 0.2419, "IoU.microwave": 0.759, "IoU.pot": 0.449, "IoU.animal": NaN, "IoU.bicycle": 0.4926, "IoU.lake": 0.5913, "IoU.dishwasher": 0.5688, "IoU.screen": 0.6512, "IoU.blanket": 0.1027, "IoU.sculpture": 0.4999, "IoU.hood": 0.5476, "IoU.sconce": 0.4238, "IoU.vase": 0.3152, "IoU.traffic light": 0.2382, "IoU.tray": 0.0747, "IoU.ashcan": 0.2946, "IoU.fan": 0.5357, "IoU.pier": 0.3399, "IoU.crt screen": 0.0419, "IoU.plate": 0.5362, "IoU.monitor": 0.0806, "IoU.bulletin board": 0.3329, "IoU.shower": 0.009, "IoU.radiator": 0.556, "IoU.glass": 0.1184, "IoU.clock": 0.3479, "IoU.flag": 0.4422, "Acc.wall": 0.87, "Acc.building": 0.8995, "Acc.sky": 0.9736, "Acc.floor": 0.8988, "Acc.tree": 0.8694, "Acc.ceiling": 0.9188, "Acc.road": 0.8917, "Acc.bed ": 0.9477, "Acc.windowpane": 0.7883, "Acc.grass": 0.8463, "Acc.cabinet": 0.7009, "Acc.sidewalk": 0.771, "Acc.person": 0.9022, "Acc.earth": 0.4521, "Acc.door": 0.5358, "Acc.table": 0.7055, "Acc.mountain": 0.7278, "Acc.plant": 0.6116, "Acc.curtain": 0.8238, "Acc.chair": 0.6599, "Acc.car": 0.9018, "Acc.water": 0.6622, "Acc.painting": 0.8667, "Acc.sofa": 0.7912, "Acc.shelf": 0.5494, "Acc.house": 0.7347, "Acc.sea": 0.766, "Acc.mirror": 0.6799, "Acc.rug": 0.6927, "Acc.field": 0.4562, "Acc.armchair": 0.4983, "Acc.seat": 0.7728, "Acc.fence": 0.6066, "Acc.desk": 0.6752, "Acc.rock": 0.6357, "Acc.wardrobe": 0.5978, "Acc.lamp": 0.7007, "Acc.bathtub": 0.8022, "Acc.railing": 0.474, "Acc.cushion": 0.6463, "Acc.base": 0.3846, "Acc.box": 0.3256, "Acc.column": 0.4922, "Acc.signboard": 0.4556, "Acc.chest of drawers": 0.5641, "Acc.counter": 0.3161, "Acc.sand": 0.6503, "Acc.sink": 0.7589, "Acc.skyscraper": 0.8317, "Acc.fireplace": NaN, "Acc.refrigerator": 0.8346, "Acc.grandstand": 0.7499, "Acc.path": 0.301, "Acc.stairs": 0.3412, "Acc.runway": 0.8836, "Acc.case": 0.5905, "Acc.pool table": 0.9622, "Acc.pillow": 0.6629, "Acc.screen door": 0.715, "Acc.stairway": 0.3437, "Acc.river": 0.2848, "Acc.bridge": 0.6739, "Acc.bookcase": 0.541, "Acc.blind": NaN, "Acc.coffee table": 0.783, "Acc.toilet": 0.8909, "Acc.flower": 0.57, "Acc.book": 0.6473, "Acc.hill": 0.1877, "Acc.bench": 0.486, "Acc.countertop": 0.6556, "Acc.stove": 0.8111, "Acc.palm": 0.6683, "Acc.kitchen island": 0.6655, "Acc.computer": 0.7922, "Acc.swivel chair": 0.5505, "Acc.boat": 0.4924, "Acc.bar": 0.3604, "Acc.arcade machine": 0.4492, "Acc.hovel": 0.4364, "Acc.bus": 0.9454, "Acc.towel": 0.7558, "Acc.light": 0.5821, "Acc.truck": 0.2264, "Acc.tower": 0.4396, "Acc.chandelier": 0.795, "Acc.awning": 0.2977, "Acc.streetlight": 0.2576, "Acc.booth": 0.5881, "Acc.television receiver": NaN, "Acc.airplane": 0.6145, "Acc.dirt track": 0.3172, "Acc.apparel": 0.4703, "Acc.pole": 0.1945, "Acc.land": 0.0533, "Acc.bannister": 0.0497, "Acc.escalator": 0.415, "Acc.ottoman": 0.5431, "Acc.bottle": NaN, "Acc.buffet": 0.5432, "Acc.poster": 0.3488, "Acc.stage": 0.2085, "Acc.van": 0.5633, "Acc.ship": 0.8964, "Acc.fountain": 0.1929, "Acc.conveyer belt": 0.8915, "Acc.canopy": 0.2612, "Acc.washer": 0.6939, "Acc.plaything": 0.2808, "Acc.swimming pool": 0.832, "Acc.stool": 0.4794, "Acc.barrel": 0.6911, "Acc.basket": 0.3197, "Acc.waterfall": 0.6291, "Acc.tent": 0.9844, "Acc.bag": 0.086, "Acc.minibike": 0.8566, "Acc.cradle": NaN, "Acc.oven": 0.5496, "Acc.ball": 0.5001, "Acc.food": 0.6244, "Acc.step": 0.1038, "Acc.tank": 0.6308, "Acc.trade name": 0.2915, "Acc.microwave": 0.8311, "Acc.pot": 0.5157, "Acc.animal": NaN, "Acc.bicycle": 0.7085, "Acc.lake": 0.6485, "Acc.dishwasher": 0.6771, "Acc.screen": 0.8338, "Acc.blanket": 0.1201, "Acc.sculpture": 0.6984, "Acc.hood": 0.5993, "Acc.sconce": 0.4987, "Acc.vase": 0.4341, "Acc.traffic light": 0.3648, "Acc.tray": 0.1434, "Acc.ashcan": 0.3612, "Acc.fan": 0.6657, "Acc.pier": 0.4595, "Acc.crt screen": 0.1128, "Acc.plate": 0.6528, "Acc.monitor": 0.0874, "Acc.bulletin board": 0.4586, "Acc.shower": 0.0337, "Acc.radiator": 0.6086, "Acc.glass": 0.1296, "Acc.clock": 0.4454, "Acc.flag": 0.5274} -{"mode": "train", "epoch": 115, "iter": 144050, "lr": 1e-05, "memory": 17837, "data_time": 1.50045, "decode.loss_seg": 0.23439, "decode.acc_seg": 72.77841, "aux.loss_seg": 0.18745, "aux.acc_seg": 66.53764, "loss": 0.42184, "time": 1.88758} -{"mode": "train", "epoch": 115, "iter": 144100, "lr": 1e-05, "memory": 17837, "data_time": 0.00565, "decode.loss_seg": 0.23988, "decode.acc_seg": 74.25621, "aux.loss_seg": 0.19529, "aux.acc_seg": 67.72719, "loss": 0.43517, "time": 0.39391} -{"mode": "train", "epoch": 115, "iter": 144150, "lr": 1e-05, "memory": 17837, "data_time": 0.00553, "decode.loss_seg": 0.24386, "decode.acc_seg": 73.05223, "aux.loss_seg": 0.19593, "aux.acc_seg": 66.42159, "loss": 0.43979, "time": 0.40237} -{"mode": "train", "epoch": 115, "iter": 144200, "lr": 1e-05, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.22456, "decode.acc_seg": 74.26763, "aux.loss_seg": 0.18108, "aux.acc_seg": 67.9432, "loss": 0.40564, "time": 0.4007} -{"mode": "train", "epoch": 115, "iter": 144250, "lr": 1e-05, "memory": 17837, "data_time": 0.00566, "decode.loss_seg": 0.23763, "decode.acc_seg": 70.89109, "aux.loss_seg": 0.19156, "aux.acc_seg": 64.14738, "loss": 0.42918, "time": 0.40816} -{"mode": "train", "epoch": 115, "iter": 144300, "lr": 1e-05, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.23626, "decode.acc_seg": 73.73087, "aux.loss_seg": 0.19269, "aux.acc_seg": 67.14279, "loss": 0.42895, "time": 0.39936} -{"mode": "train", "epoch": 115, "iter": 144350, "lr": 1e-05, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.24392, "decode.acc_seg": 74.42526, "aux.loss_seg": 0.19916, "aux.acc_seg": 67.92222, "loss": 0.44308, "time": 0.40129} -{"mode": "train", "epoch": 115, "iter": 144400, "lr": 1e-05, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.22882, "decode.acc_seg": 72.66369, "aux.loss_seg": 0.18374, "aux.acc_seg": 66.45974, "loss": 0.41256, "time": 0.41454} -{"mode": "train", "epoch": 115, "iter": 144450, "lr": 1e-05, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23704, "decode.acc_seg": 72.41558, "aux.loss_seg": 0.1922, "aux.acc_seg": 66.09301, "loss": 0.42924, "time": 0.39633} -{"mode": "train", "epoch": 115, "iter": 144500, "lr": 1e-05, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.22956, "decode.acc_seg": 71.9151, "aux.loss_seg": 0.18263, "aux.acc_seg": 65.82928, "loss": 0.41219, "time": 0.40228} -{"mode": "train", "epoch": 115, "iter": 144550, "lr": 1e-05, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.24291, "decode.acc_seg": 73.60819, "aux.loss_seg": 0.20166, "aux.acc_seg": 66.92414, "loss": 0.44457, "time": 0.40307} -{"mode": "train", "epoch": 115, "iter": 144600, "lr": 1e-05, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.22749, "decode.acc_seg": 72.25069, "aux.loss_seg": 0.17983, "aux.acc_seg": 66.12064, "loss": 0.40731, "time": 0.40799} -{"mode": "train", "epoch": 115, "iter": 144650, "lr": 1e-05, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23978, "decode.acc_seg": 74.02599, "aux.loss_seg": 0.18595, "aux.acc_seg": 68.18222, "loss": 0.42573, "time": 0.39782} -{"mode": "train", "epoch": 115, "iter": 144700, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23308, "decode.acc_seg": 72.93263, "aux.loss_seg": 0.19929, "aux.acc_seg": 65.8676, "loss": 0.43237, "time": 0.39845} -{"mode": "train", "epoch": 115, "iter": 144750, "lr": 1e-05, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23518, "decode.acc_seg": 72.24898, "aux.loss_seg": 0.19201, "aux.acc_seg": 65.69284, "loss": 0.4272, "time": 0.3975} -{"mode": "train", "epoch": 115, "iter": 144800, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23439, "decode.acc_seg": 74.0632, "aux.loss_seg": 0.19006, "aux.acc_seg": 67.45721, "loss": 0.42445, "time": 0.40425} -{"mode": "train", "epoch": 115, "iter": 144850, "lr": 1e-05, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.22022, "decode.acc_seg": 73.81225, "aux.loss_seg": 0.17985, "aux.acc_seg": 67.60323, "loss": 0.40007, "time": 0.41571} -{"mode": "train", "epoch": 115, "iter": 144900, "lr": 1e-05, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.22785, "decode.acc_seg": 72.31083, "aux.loss_seg": 0.18483, "aux.acc_seg": 66.15979, "loss": 0.41268, "time": 0.40582} -{"mode": "train", "epoch": 115, "iter": 144950, "lr": 1e-05, "memory": 17837, "data_time": 0.00699, "decode.loss_seg": 0.22584, "decode.acc_seg": 73.02619, "aux.loss_seg": 0.18229, "aux.acc_seg": 66.56016, "loss": 0.40813, "time": 0.40645} -{"mode": "train", "epoch": 115, "iter": 145000, "lr": 1e-05, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.23152, "decode.acc_seg": 73.49054, "aux.loss_seg": 0.18921, "aux.acc_seg": 67.03387, "loss": 0.42073, "time": 0.39104} -{"mode": "train", "epoch": 115, "iter": 145050, "lr": 1e-05, "memory": 17837, "data_time": 0.00667, "decode.loss_seg": 0.24185, "decode.acc_seg": 71.66472, "aux.loss_seg": 0.1858, "aux.acc_seg": 65.76511, "loss": 0.42765, "time": 0.39376} -{"mode": "train", "epoch": 115, "iter": 145100, "lr": 1e-05, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24108, "decode.acc_seg": 73.10496, "aux.loss_seg": 0.1981, "aux.acc_seg": 66.35703, "loss": 0.43917, "time": 0.39205} -{"mode": "train", "epoch": 115, "iter": 145150, "lr": 1e-05, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24619, "decode.acc_seg": 72.68971, "aux.loss_seg": 0.19368, "aux.acc_seg": 66.16564, "loss": 0.43986, "time": 0.41406} -{"mode": "train", "epoch": 115, "iter": 145200, "lr": 1e-05, "memory": 17837, "data_time": 0.0067, "decode.loss_seg": 0.23028, "decode.acc_seg": 73.37981, "aux.loss_seg": 0.18728, "aux.acc_seg": 66.98731, "loss": 0.41756, "time": 0.40431} -{"mode": "train", "epoch": 116, "iter": 145250, "lr": 1e-05, "memory": 17837, "data_time": 0.24458, "decode.loss_seg": 0.24079, "decode.acc_seg": 73.29498, "aux.loss_seg": 0.19155, "aux.acc_seg": 66.99379, "loss": 0.43234, "time": 0.63106} -{"mode": "train", "epoch": 116, "iter": 145300, "lr": 1e-05, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.23591, "decode.acc_seg": 73.85668, "aux.loss_seg": 0.1872, "aux.acc_seg": 67.63925, "loss": 0.42311, "time": 0.39721} -{"mode": "train", "epoch": 116, "iter": 145350, "lr": 1e-05, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23789, "decode.acc_seg": 73.94828, "aux.loss_seg": 0.1917, "aux.acc_seg": 67.67241, "loss": 0.42958, "time": 0.40398} -{"mode": "train", "epoch": 116, "iter": 145400, "lr": 1e-05, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.22039, "decode.acc_seg": 73.88725, "aux.loss_seg": 0.18169, "aux.acc_seg": 67.72057, "loss": 0.40208, "time": 0.39973} -{"mode": "train", "epoch": 116, "iter": 145450, "lr": 1e-05, "memory": 17837, "data_time": 0.00663, "decode.loss_seg": 0.24611, "decode.acc_seg": 72.28936, "aux.loss_seg": 0.19459, "aux.acc_seg": 65.89923, "loss": 0.4407, "time": 0.39794} -{"mode": "train", "epoch": 116, "iter": 145500, "lr": 1e-05, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.24009, "decode.acc_seg": 72.83264, "aux.loss_seg": 0.19369, "aux.acc_seg": 66.17958, "loss": 0.43378, "time": 0.40153} -{"mode": "train", "epoch": 116, "iter": 145550, "lr": 1e-05, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.24053, "decode.acc_seg": 72.93712, "aux.loss_seg": 0.19502, "aux.acc_seg": 66.35239, "loss": 0.43554, "time": 0.39513} -{"mode": "train", "epoch": 116, "iter": 145600, "lr": 1e-05, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23702, "decode.acc_seg": 74.30773, "aux.loss_seg": 0.18687, "aux.acc_seg": 68.19612, "loss": 0.42389, "time": 0.39605} -{"mode": "train", "epoch": 116, "iter": 145650, "lr": 1e-05, "memory": 17837, "data_time": 0.0069, "decode.loss_seg": 0.24259, "decode.acc_seg": 73.01748, "aux.loss_seg": 0.19639, "aux.acc_seg": 66.55393, "loss": 0.43897, "time": 0.41864} -{"mode": "train", "epoch": 116, "iter": 145700, "lr": 1e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.21975, "decode.acc_seg": 72.50325, "aux.loss_seg": 0.18611, "aux.acc_seg": 65.62212, "loss": 0.40587, "time": 0.41137} -{"mode": "train", "epoch": 116, "iter": 145750, "lr": 1e-05, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23741, "decode.acc_seg": 73.96234, "aux.loss_seg": 0.19077, "aux.acc_seg": 67.52692, "loss": 0.42818, "time": 0.39632} -{"mode": "train", "epoch": 116, "iter": 145800, "lr": 1e-05, "memory": 17837, "data_time": 0.00684, "decode.loss_seg": 0.22856, "decode.acc_seg": 72.64827, "aux.loss_seg": 0.18654, "aux.acc_seg": 66.13202, "loss": 0.4151, "time": 0.40812} -{"mode": "train", "epoch": 116, "iter": 145850, "lr": 1e-05, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.23221, "decode.acc_seg": 73.39277, "aux.loss_seg": 0.1881, "aux.acc_seg": 66.95951, "loss": 0.42032, "time": 0.39493} -{"mode": "train", "epoch": 116, "iter": 145900, "lr": 1e-05, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.23818, "decode.acc_seg": 73.37917, "aux.loss_seg": 0.19126, "aux.acc_seg": 66.9386, "loss": 0.42944, "time": 0.39399} -{"mode": "train", "epoch": 116, "iter": 145950, "lr": 1e-05, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.24077, "decode.acc_seg": 74.06428, "aux.loss_seg": 0.19614, "aux.acc_seg": 67.50711, "loss": 0.43691, "time": 0.40889} -{"mode": "train", "epoch": 116, "iter": 146000, "lr": 1e-05, "memory": 17837, "data_time": 0.00695, "decode.loss_seg": 0.23126, "decode.acc_seg": 73.1874, "aux.loss_seg": 0.18907, "aux.acc_seg": 66.70504, "loss": 0.42033, "time": 0.39833} -{"mode": "train", "epoch": 116, "iter": 146050, "lr": 1e-05, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.23229, "decode.acc_seg": 73.52289, "aux.loss_seg": 0.18676, "aux.acc_seg": 67.19426, "loss": 0.41905, "time": 0.40282} -{"mode": "train", "epoch": 116, "iter": 146100, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.23412, "decode.acc_seg": 72.79922, "aux.loss_seg": 0.19216, "aux.acc_seg": 66.07325, "loss": 0.42628, "time": 0.39596} -{"mode": "train", "epoch": 116, "iter": 146150, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.23221, "decode.acc_seg": 74.17335, "aux.loss_seg": 0.18815, "aux.acc_seg": 67.64534, "loss": 0.42035, "time": 0.39275} -{"mode": "train", "epoch": 116, "iter": 146200, "lr": 1e-05, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.23701, "decode.acc_seg": 73.9694, "aux.loss_seg": 0.18426, "aux.acc_seg": 67.93617, "loss": 0.42128, "time": 0.39504} -{"mode": "train", "epoch": 116, "iter": 146250, "lr": 1e-05, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23802, "decode.acc_seg": 72.21935, "aux.loss_seg": 0.19178, "aux.acc_seg": 65.56253, "loss": 0.4298, "time": 0.39151} -{"mode": "train", "epoch": 116, "iter": 146300, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22622, "decode.acc_seg": 73.91983, "aux.loss_seg": 0.18283, "aux.acc_seg": 67.74722, "loss": 0.40905, "time": 0.39421} -{"mode": "train", "epoch": 116, "iter": 146350, "lr": 1e-05, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.2227, "decode.acc_seg": 74.0067, "aux.loss_seg": 0.18136, "aux.acc_seg": 67.88552, "loss": 0.40406, "time": 0.40099} -{"mode": "train", "epoch": 116, "iter": 146400, "lr": 1e-05, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.22281, "decode.acc_seg": 73.08307, "aux.loss_seg": 0.18295, "aux.acc_seg": 66.90748, "loss": 0.40576, "time": 0.40105} -{"mode": "train", "epoch": 116, "iter": 146450, "lr": 1e-05, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23247, "decode.acc_seg": 72.95804, "aux.loss_seg": 0.19423, "aux.acc_seg": 66.25066, "loss": 0.42671, "time": 0.3957} -{"mode": "train", "epoch": 116, "iter": 146500, "lr": 1e-05, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.24143, "decode.acc_seg": 71.92841, "aux.loss_seg": 0.18712, "aux.acc_seg": 65.86543, "loss": 0.42855, "time": 0.39669} -{"mode": "train", "epoch": 117, "iter": 146550, "lr": 1e-05, "memory": 17837, "data_time": 0.24023, "decode.loss_seg": 0.23425, "decode.acc_seg": 73.95023, "aux.loss_seg": 0.19181, "aux.acc_seg": 67.16276, "loss": 0.42606, "time": 0.63055} -{"mode": "train", "epoch": 117, "iter": 146600, "lr": 1e-05, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.23356, "decode.acc_seg": 73.69276, "aux.loss_seg": 0.19055, "aux.acc_seg": 67.28063, "loss": 0.42411, "time": 0.40389} -{"mode": "train", "epoch": 117, "iter": 146650, "lr": 1e-05, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.21516, "decode.acc_seg": 72.35579, "aux.loss_seg": 0.17162, "aux.acc_seg": 66.55928, "loss": 0.38678, "time": 0.41183} -{"mode": "train", "epoch": 117, "iter": 146700, "lr": 0.0, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.24219, "decode.acc_seg": 74.18405, "aux.loss_seg": 0.19389, "aux.acc_seg": 67.80965, "loss": 0.43608, "time": 0.42342} -{"mode": "train", "epoch": 117, "iter": 146750, "lr": 0.0, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.22867, "decode.acc_seg": 72.26641, "aux.loss_seg": 0.18974, "aux.acc_seg": 65.50973, "loss": 0.41841, "time": 0.40026} -{"mode": "train", "epoch": 117, "iter": 146800, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.23972, "decode.acc_seg": 72.92719, "aux.loss_seg": 0.19762, "aux.acc_seg": 65.97737, "loss": 0.43734, "time": 0.3968} -{"mode": "train", "epoch": 117, "iter": 146850, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.23602, "decode.acc_seg": 73.47079, "aux.loss_seg": 0.1946, "aux.acc_seg": 66.95383, "loss": 0.43061, "time": 0.39753} -{"mode": "train", "epoch": 117, "iter": 146900, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23759, "decode.acc_seg": 73.00413, "aux.loss_seg": 0.19489, "aux.acc_seg": 66.29637, "loss": 0.43248, "time": 0.39848} -{"mode": "train", "epoch": 117, "iter": 146950, "lr": 0.0, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23169, "decode.acc_seg": 71.27206, "aux.loss_seg": 0.18446, "aux.acc_seg": 65.27768, "loss": 0.41615, "time": 0.39428} -{"mode": "train", "epoch": 117, "iter": 147000, "lr": 0.0, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.233, "decode.acc_seg": 74.22814, "aux.loss_seg": 0.18348, "aux.acc_seg": 68.26444, "loss": 0.41648, "time": 0.39301} -{"mode": "train", "epoch": 117, "iter": 147050, "lr": 0.0, "memory": 17837, "data_time": 0.00559, "decode.loss_seg": 0.22274, "decode.acc_seg": 72.75462, "aux.loss_seg": 0.17925, "aux.acc_seg": 66.74069, "loss": 0.40199, "time": 0.41011} -{"mode": "train", "epoch": 117, "iter": 147100, "lr": 0.0, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.23471, "decode.acc_seg": 73.90319, "aux.loss_seg": 0.18686, "aux.acc_seg": 67.67555, "loss": 0.42157, "time": 0.39771} -{"mode": "train", "epoch": 117, "iter": 147150, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2258, "decode.acc_seg": 74.64278, "aux.loss_seg": 0.18017, "aux.acc_seg": 68.51667, "loss": 0.40596, "time": 0.39314} -{"mode": "train", "epoch": 117, "iter": 147200, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.23728, "decode.acc_seg": 72.8584, "aux.loss_seg": 0.19885, "aux.acc_seg": 65.76345, "loss": 0.43613, "time": 0.39573} -{"mode": "train", "epoch": 117, "iter": 147250, "lr": 0.0, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.24468, "decode.acc_seg": 73.24059, "aux.loss_seg": 0.20303, "aux.acc_seg": 66.28459, "loss": 0.44771, "time": 0.3947} -{"mode": "train", "epoch": 117, "iter": 147300, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24221, "decode.acc_seg": 73.13919, "aux.loss_seg": 0.20547, "aux.acc_seg": 65.85123, "loss": 0.44768, "time": 0.4091} -{"mode": "train", "epoch": 117, "iter": 147350, "lr": 0.0, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.24193, "decode.acc_seg": 73.22093, "aux.loss_seg": 0.19383, "aux.acc_seg": 66.65717, "loss": 0.43576, "time": 0.39818} -{"mode": "train", "epoch": 117, "iter": 147400, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23067, "decode.acc_seg": 73.94049, "aux.loss_seg": 0.18654, "aux.acc_seg": 67.65613, "loss": 0.41721, "time": 0.40687} -{"mode": "train", "epoch": 117, "iter": 147450, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23662, "decode.acc_seg": 70.80102, "aux.loss_seg": 0.19357, "aux.acc_seg": 64.48524, "loss": 0.43019, "time": 0.41125} -{"mode": "train", "epoch": 117, "iter": 147500, "lr": 0.0, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.23883, "decode.acc_seg": 72.6272, "aux.loss_seg": 0.18895, "aux.acc_seg": 66.40696, "loss": 0.42778, "time": 0.39416} -{"mode": "train", "epoch": 117, "iter": 147550, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.25159, "decode.acc_seg": 73.93631, "aux.loss_seg": 0.19698, "aux.acc_seg": 67.63266, "loss": 0.44857, "time": 0.41741} -{"mode": "train", "epoch": 117, "iter": 147600, "lr": 0.0, "memory": 17837, "data_time": 0.00569, "decode.loss_seg": 0.24564, "decode.acc_seg": 73.13984, "aux.loss_seg": 0.19571, "aux.acc_seg": 66.54845, "loss": 0.44136, "time": 0.39831} -{"mode": "train", "epoch": 117, "iter": 147650, "lr": 0.0, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23344, "decode.acc_seg": 73.45436, "aux.loss_seg": 0.18428, "aux.acc_seg": 67.39818, "loss": 0.41772, "time": 0.39544} -{"mode": "train", "epoch": 117, "iter": 147700, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.2367, "decode.acc_seg": 72.34181, "aux.loss_seg": 0.19334, "aux.acc_seg": 65.73285, "loss": 0.43005, "time": 0.39526} -{"mode": "train", "epoch": 117, "iter": 147750, "lr": 0.0, "memory": 17837, "data_time": 0.00592, "decode.loss_seg": 0.23767, "decode.acc_seg": 73.27862, "aux.loss_seg": 0.19007, "aux.acc_seg": 66.95288, "loss": 0.42774, "time": 0.39389} -{"mode": "train", "epoch": 118, "iter": 147800, "lr": 0.0, "memory": 17837, "data_time": 0.23915, "decode.loss_seg": 0.21823, "decode.acc_seg": 73.77921, "aux.loss_seg": 0.17828, "aux.acc_seg": 67.54047, "loss": 0.39652, "time": 0.62409} -{"mode": "train", "epoch": 118, "iter": 147850, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.21989, "decode.acc_seg": 72.54894, "aux.loss_seg": 0.18091, "aux.acc_seg": 66.25481, "loss": 0.40081, "time": 0.40203} -{"mode": "train", "epoch": 118, "iter": 147900, "lr": 0.0, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.22915, "decode.acc_seg": 72.26684, "aux.loss_seg": 0.18965, "aux.acc_seg": 65.66837, "loss": 0.4188, "time": 0.39433} -{"mode": "train", "epoch": 118, "iter": 147950, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23009, "decode.acc_seg": 71.32586, "aux.loss_seg": 0.18578, "aux.acc_seg": 64.98496, "loss": 0.41586, "time": 0.39187} -{"mode": "train", "epoch": 118, "iter": 148000, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.23522, "decode.acc_seg": 72.4822, "aux.loss_seg": 0.18671, "aux.acc_seg": 66.14168, "loss": 0.42192, "time": 0.40935} -{"mode": "train", "epoch": 118, "iter": 148050, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.25276, "decode.acc_seg": 73.86297, "aux.loss_seg": 0.20164, "aux.acc_seg": 67.48581, "loss": 0.4544, "time": 0.40241} -{"mode": "train", "epoch": 118, "iter": 148100, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2339, "decode.acc_seg": 72.97374, "aux.loss_seg": 0.18197, "aux.acc_seg": 67.17753, "loss": 0.41586, "time": 0.39988} -{"mode": "train", "epoch": 118, "iter": 148150, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24123, "decode.acc_seg": 73.63488, "aux.loss_seg": 0.19539, "aux.acc_seg": 67.17237, "loss": 0.43662, "time": 0.39616} -{"mode": "train", "epoch": 118, "iter": 148200, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2395, "decode.acc_seg": 72.98039, "aux.loss_seg": 0.19008, "aux.acc_seg": 66.57164, "loss": 0.42958, "time": 0.39949} -{"mode": "train", "epoch": 118, "iter": 148250, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23473, "decode.acc_seg": 73.0143, "aux.loss_seg": 0.18811, "aux.acc_seg": 66.79135, "loss": 0.42285, "time": 0.40087} -{"mode": "train", "epoch": 118, "iter": 148300, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2343, "decode.acc_seg": 72.30717, "aux.loss_seg": 0.18773, "aux.acc_seg": 66.0056, "loss": 0.42204, "time": 0.3977} -{"mode": "train", "epoch": 118, "iter": 148350, "lr": 0.0, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.23713, "decode.acc_seg": 73.05438, "aux.loss_seg": 0.18899, "aux.acc_seg": 67.0074, "loss": 0.42613, "time": 0.41565} -{"mode": "train", "epoch": 118, "iter": 148400, "lr": 0.0, "memory": 17837, "data_time": 0.00637, "decode.loss_seg": 0.22753, "decode.acc_seg": 73.40233, "aux.loss_seg": 0.1845, "aux.acc_seg": 67.11075, "loss": 0.41203, "time": 0.40667} -{"mode": "train", "epoch": 118, "iter": 148450, "lr": 0.0, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.22765, "decode.acc_seg": 75.46865, "aux.loss_seg": 0.18685, "aux.acc_seg": 68.95299, "loss": 0.4145, "time": 0.40995} -{"mode": "train", "epoch": 118, "iter": 148500, "lr": 0.0, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.23137, "decode.acc_seg": 72.08833, "aux.loss_seg": 0.189, "aux.acc_seg": 65.61352, "loss": 0.42037, "time": 0.41187} -{"mode": "train", "epoch": 118, "iter": 148550, "lr": 0.0, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.23936, "decode.acc_seg": 72.62194, "aux.loss_seg": 0.19227, "aux.acc_seg": 66.24013, "loss": 0.43163, "time": 0.40982} -{"mode": "train", "epoch": 118, "iter": 148600, "lr": 0.0, "memory": 17837, "data_time": 0.00658, "decode.loss_seg": 0.21539, "decode.acc_seg": 73.04848, "aux.loss_seg": 0.17788, "aux.acc_seg": 66.8753, "loss": 0.39327, "time": 0.39556} -{"mode": "train", "epoch": 118, "iter": 148650, "lr": 0.0, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.24141, "decode.acc_seg": 74.34122, "aux.loss_seg": 0.19917, "aux.acc_seg": 67.37488, "loss": 0.44057, "time": 0.40231} -{"mode": "train", "epoch": 118, "iter": 148700, "lr": 0.0, "memory": 17837, "data_time": 0.00659, "decode.loss_seg": 0.23211, "decode.acc_seg": 72.84029, "aux.loss_seg": 0.19176, "aux.acc_seg": 66.02968, "loss": 0.42387, "time": 0.40734} -{"mode": "train", "epoch": 118, "iter": 148750, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.2321, "decode.acc_seg": 74.11684, "aux.loss_seg": 0.19285, "aux.acc_seg": 67.54718, "loss": 0.42495, "time": 0.39646} -{"mode": "train", "epoch": 118, "iter": 148800, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.24818, "decode.acc_seg": 72.82966, "aux.loss_seg": 0.20127, "aux.acc_seg": 66.06984, "loss": 0.44946, "time": 0.41226} -{"mode": "train", "epoch": 118, "iter": 148850, "lr": 0.0, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.22803, "decode.acc_seg": 72.10034, "aux.loss_seg": 0.1896, "aux.acc_seg": 65.15482, "loss": 0.41763, "time": 0.41669} -{"mode": "train", "epoch": 118, "iter": 148900, "lr": 0.0, "memory": 17837, "data_time": 0.00692, "decode.loss_seg": 0.23562, "decode.acc_seg": 73.69576, "aux.loss_seg": 0.19058, "aux.acc_seg": 67.15646, "loss": 0.42619, "time": 0.41075} -{"mode": "train", "epoch": 118, "iter": 148950, "lr": 0.0, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.23717, "decode.acc_seg": 73.82916, "aux.loss_seg": 0.19164, "aux.acc_seg": 67.34459, "loss": 0.42881, "time": 0.39585} -{"mode": "train", "epoch": 118, "iter": 149000, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23465, "decode.acc_seg": 73.22625, "aux.loss_seg": 0.19123, "aux.acc_seg": 66.54839, "loss": 0.42588, "time": 0.4059} -{"mode": "train", "epoch": 119, "iter": 149050, "lr": 0.0, "memory": 17837, "data_time": 0.23855, "decode.loss_seg": 0.23537, "decode.acc_seg": 72.23559, "aux.loss_seg": 0.19291, "aux.acc_seg": 65.76057, "loss": 0.42828, "time": 0.63021} -{"mode": "train", "epoch": 119, "iter": 149100, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23284, "decode.acc_seg": 74.82719, "aux.loss_seg": 0.18931, "aux.acc_seg": 68.53506, "loss": 0.42215, "time": 0.39685} -{"mode": "train", "epoch": 119, "iter": 149150, "lr": 0.0, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.22256, "decode.acc_seg": 73.66554, "aux.loss_seg": 0.18526, "aux.acc_seg": 67.00808, "loss": 0.40782, "time": 0.40742} -{"mode": "train", "epoch": 119, "iter": 149200, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.23111, "decode.acc_seg": 73.59552, "aux.loss_seg": 0.18447, "aux.acc_seg": 67.45746, "loss": 0.41558, "time": 0.40775} -{"mode": "train", "epoch": 119, "iter": 149250, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2254, "decode.acc_seg": 73.11005, "aux.loss_seg": 0.18879, "aux.acc_seg": 66.40675, "loss": 0.41418, "time": 0.40706} -{"mode": "train", "epoch": 119, "iter": 149300, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23247, "decode.acc_seg": 72.9921, "aux.loss_seg": 0.19107, "aux.acc_seg": 66.50379, "loss": 0.42354, "time": 0.40201} -{"mode": "train", "epoch": 119, "iter": 149350, "lr": 0.0, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.22976, "decode.acc_seg": 73.18281, "aux.loss_seg": 0.18728, "aux.acc_seg": 66.80122, "loss": 0.41703, "time": 0.39185} -{"mode": "train", "epoch": 119, "iter": 149400, "lr": 0.0, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.22193, "decode.acc_seg": 74.88322, "aux.loss_seg": 0.18683, "aux.acc_seg": 68.11479, "loss": 0.40876, "time": 0.40643} -{"mode": "train", "epoch": 119, "iter": 149450, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23556, "decode.acc_seg": 71.51565, "aux.loss_seg": 0.18514, "aux.acc_seg": 65.09975, "loss": 0.4207, "time": 0.39312} -{"mode": "train", "epoch": 119, "iter": 149500, "lr": 0.0, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.22518, "decode.acc_seg": 72.54035, "aux.loss_seg": 0.17616, "aux.acc_seg": 66.51914, "loss": 0.40134, "time": 0.39571} -{"mode": "train", "epoch": 119, "iter": 149550, "lr": 0.0, "memory": 17837, "data_time": 0.00638, "decode.loss_seg": 0.24232, "decode.acc_seg": 72.78304, "aux.loss_seg": 0.18997, "aux.acc_seg": 66.56912, "loss": 0.43229, "time": 0.40397} -{"mode": "train", "epoch": 119, "iter": 149600, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.22795, "decode.acc_seg": 72.59182, "aux.loss_seg": 0.18627, "aux.acc_seg": 66.13909, "loss": 0.41422, "time": 0.40668} -{"mode": "train", "epoch": 119, "iter": 149650, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.2435, "decode.acc_seg": 71.63886, "aux.loss_seg": 0.19573, "aux.acc_seg": 65.02538, "loss": 0.43924, "time": 0.40395} -{"mode": "train", "epoch": 119, "iter": 149700, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.24904, "decode.acc_seg": 73.55613, "aux.loss_seg": 0.20243, "aux.acc_seg": 66.84463, "loss": 0.45148, "time": 0.39754} -{"mode": "train", "epoch": 119, "iter": 149750, "lr": 0.0, "memory": 17837, "data_time": 0.0061, "decode.loss_seg": 0.23025, "decode.acc_seg": 72.4885, "aux.loss_seg": 0.1907, "aux.acc_seg": 65.87034, "loss": 0.42095, "time": 0.4059} -{"mode": "train", "epoch": 119, "iter": 149800, "lr": 0.0, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.23431, "decode.acc_seg": 74.6216, "aux.loss_seg": 0.19177, "aux.acc_seg": 68.19645, "loss": 0.42608, "time": 0.39869} -{"mode": "train", "epoch": 119, "iter": 149850, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.2435, "decode.acc_seg": 73.10715, "aux.loss_seg": 0.18958, "aux.acc_seg": 66.84346, "loss": 0.43308, "time": 0.39365} -{"mode": "train", "epoch": 119, "iter": 149900, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.2282, "decode.acc_seg": 73.72189, "aux.loss_seg": 0.18999, "aux.acc_seg": 67.15599, "loss": 0.41819, "time": 0.39182} -{"mode": "train", "epoch": 119, "iter": 149950, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22653, "decode.acc_seg": 73.26313, "aux.loss_seg": 0.1896, "aux.acc_seg": 66.68732, "loss": 0.41613, "time": 0.39697} -{"mode": "train", "epoch": 119, "iter": 150000, "lr": 0.0, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.2296, "decode.acc_seg": 74.23595, "aux.loss_seg": 0.18433, "aux.acc_seg": 67.92839, "loss": 0.41394, "time": 0.39654} -{"mode": "train", "epoch": 119, "iter": 150050, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23327, "decode.acc_seg": 72.83463, "aux.loss_seg": 0.19157, "aux.acc_seg": 66.31579, "loss": 0.42484, "time": 0.40696} -{"mode": "train", "epoch": 119, "iter": 150100, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23004, "decode.acc_seg": 71.38653, "aux.loss_seg": 0.18858, "aux.acc_seg": 64.72004, "loss": 0.41862, "time": 0.39664} -{"mode": "train", "epoch": 119, "iter": 150150, "lr": 0.0, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.22905, "decode.acc_seg": 73.84825, "aux.loss_seg": 0.18245, "aux.acc_seg": 68.07537, "loss": 0.4115, "time": 0.40945} -{"mode": "train", "epoch": 119, "iter": 150200, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23711, "decode.acc_seg": 73.33428, "aux.loss_seg": 0.19053, "aux.acc_seg": 67.0515, "loss": 0.42764, "time": 0.39717} -{"mode": "train", "epoch": 119, "iter": 150250, "lr": 0.0, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.23726, "decode.acc_seg": 72.47028, "aux.loss_seg": 0.19654, "aux.acc_seg": 65.85995, "loss": 0.43379, "time": 0.40819} -{"mode": "train", "epoch": 120, "iter": 150300, "lr": 0.0, "memory": 17837, "data_time": 0.23933, "decode.loss_seg": 0.23805, "decode.acc_seg": 72.3051, "aux.loss_seg": 0.18755, "aux.acc_seg": 66.02044, "loss": 0.42559, "time": 0.63041} -{"mode": "train", "epoch": 120, "iter": 150350, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24192, "decode.acc_seg": 74.76413, "aux.loss_seg": 0.18556, "aux.acc_seg": 68.91116, "loss": 0.42748, "time": 0.40134} -{"mode": "train", "epoch": 120, "iter": 150400, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.22733, "decode.acc_seg": 74.35961, "aux.loss_seg": 0.18929, "aux.acc_seg": 67.60868, "loss": 0.41663, "time": 0.40453} -{"mode": "train", "epoch": 120, "iter": 150450, "lr": 0.0, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.22759, "decode.acc_seg": 72.68136, "aux.loss_seg": 0.18371, "aux.acc_seg": 66.33681, "loss": 0.4113, "time": 0.40739} -{"mode": "train", "epoch": 120, "iter": 150500, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.2222, "decode.acc_seg": 73.21566, "aux.loss_seg": 0.18687, "aux.acc_seg": 66.74312, "loss": 0.40906, "time": 0.40847} -{"mode": "train", "epoch": 120, "iter": 150550, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23358, "decode.acc_seg": 72.764, "aux.loss_seg": 0.18804, "aux.acc_seg": 66.15831, "loss": 0.42162, "time": 0.39534} -{"mode": "train", "epoch": 120, "iter": 150600, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23367, "decode.acc_seg": 72.93868, "aux.loss_seg": 0.18476, "aux.acc_seg": 66.64797, "loss": 0.41843, "time": 0.40899} -{"mode": "train", "epoch": 120, "iter": 150650, "lr": 0.0, "memory": 17837, "data_time": 0.00633, "decode.loss_seg": 0.23616, "decode.acc_seg": 72.68255, "aux.loss_seg": 0.19013, "aux.acc_seg": 66.41251, "loss": 0.42629, "time": 0.40412} -{"mode": "train", "epoch": 120, "iter": 150700, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24376, "decode.acc_seg": 72.27251, "aux.loss_seg": 0.20088, "aux.acc_seg": 65.40615, "loss": 0.44464, "time": 0.39413} -{"mode": "train", "epoch": 120, "iter": 150750, "lr": 0.0, "memory": 17837, "data_time": 0.00653, "decode.loss_seg": 0.23386, "decode.acc_seg": 73.57323, "aux.loss_seg": 0.19318, "aux.acc_seg": 66.76301, "loss": 0.42704, "time": 0.41478} -{"mode": "train", "epoch": 120, "iter": 150800, "lr": 0.0, "memory": 17837, "data_time": 0.00652, "decode.loss_seg": 0.21606, "decode.acc_seg": 72.98385, "aux.loss_seg": 0.17955, "aux.acc_seg": 66.63647, "loss": 0.39561, "time": 0.41129} -{"mode": "train", "epoch": 120, "iter": 150850, "lr": 0.0, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.22483, "decode.acc_seg": 73.59814, "aux.loss_seg": 0.1813, "aux.acc_seg": 67.54195, "loss": 0.40613, "time": 0.40132} -{"mode": "train", "epoch": 120, "iter": 150900, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.23448, "decode.acc_seg": 73.75787, "aux.loss_seg": 0.18664, "aux.acc_seg": 67.49616, "loss": 0.42112, "time": 0.41247} -{"mode": "train", "epoch": 120, "iter": 150950, "lr": 0.0, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.24829, "decode.acc_seg": 72.34334, "aux.loss_seg": 0.20347, "aux.acc_seg": 65.26297, "loss": 0.45177, "time": 0.39421} -{"mode": "train", "epoch": 120, "iter": 151000, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.24298, "decode.acc_seg": 72.72913, "aux.loss_seg": 0.19849, "aux.acc_seg": 66.1303, "loss": 0.44147, "time": 0.39586} -{"mode": "train", "epoch": 120, "iter": 151050, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.24286, "decode.acc_seg": 72.80354, "aux.loss_seg": 0.19918, "aux.acc_seg": 65.81207, "loss": 0.44204, "time": 0.402} -{"mode": "train", "epoch": 120, "iter": 151100, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2404, "decode.acc_seg": 74.351, "aux.loss_seg": 0.19551, "aux.acc_seg": 67.62129, "loss": 0.4359, "time": 0.40906} -{"mode": "train", "epoch": 120, "iter": 151150, "lr": 0.0, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.23648, "decode.acc_seg": 72.87579, "aux.loss_seg": 0.18742, "aux.acc_seg": 66.40664, "loss": 0.42391, "time": 0.39324} -{"mode": "train", "epoch": 120, "iter": 151200, "lr": 0.0, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.2213, "decode.acc_seg": 72.80046, "aux.loss_seg": 0.18848, "aux.acc_seg": 65.91217, "loss": 0.40978, "time": 0.39866} -{"mode": "train", "epoch": 120, "iter": 151250, "lr": 0.0, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.23063, "decode.acc_seg": 72.75004, "aux.loss_seg": 0.19209, "aux.acc_seg": 65.86825, "loss": 0.42271, "time": 0.39551} -{"mode": "train", "epoch": 120, "iter": 151300, "lr": 0.0, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.23688, "decode.acc_seg": 72.17367, "aux.loss_seg": 0.18952, "aux.acc_seg": 65.87965, "loss": 0.4264, "time": 0.40719} -{"mode": "train", "epoch": 120, "iter": 151350, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23251, "decode.acc_seg": 71.32794, "aux.loss_seg": 0.18578, "aux.acc_seg": 64.74339, "loss": 0.41829, "time": 0.39817} -{"mode": "train", "epoch": 120, "iter": 151400, "lr": 0.0, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.23743, "decode.acc_seg": 74.54777, "aux.loss_seg": 0.19959, "aux.acc_seg": 67.54891, "loss": 0.43702, "time": 0.39475} -{"mode": "train", "epoch": 120, "iter": 151450, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.22922, "decode.acc_seg": 73.84189, "aux.loss_seg": 0.18246, "aux.acc_seg": 67.83909, "loss": 0.41167, "time": 0.39142} -{"mode": "train", "epoch": 120, "iter": 151500, "lr": 0.0, "memory": 17837, "data_time": 0.00584, "decode.loss_seg": 0.2229, "decode.acc_seg": 74.95608, "aux.loss_seg": 0.18727, "aux.acc_seg": 68.31363, "loss": 0.41017, "time": 0.39369} -{"mode": "train", "epoch": 120, "iter": 151550, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22276, "decode.acc_seg": 72.66429, "aux.loss_seg": 0.17932, "aux.acc_seg": 66.47451, "loss": 0.40208, "time": 0.39582} -{"mode": "train", "epoch": 121, "iter": 151600, "lr": 0.0, "memory": 17837, "data_time": 0.23877, "decode.loss_seg": 0.22595, "decode.acc_seg": 73.748, "aux.loss_seg": 0.18497, "aux.acc_seg": 67.32516, "loss": 0.41091, "time": 0.62549} -{"mode": "train", "epoch": 121, "iter": 151650, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.2355, "decode.acc_seg": 72.50246, "aux.loss_seg": 0.19016, "aux.acc_seg": 66.16763, "loss": 0.42566, "time": 0.41343} -{"mode": "train", "epoch": 121, "iter": 151700, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.24286, "decode.acc_seg": 74.61175, "aux.loss_seg": 0.20034, "aux.acc_seg": 67.6786, "loss": 0.44321, "time": 0.4037} -{"mode": "train", "epoch": 121, "iter": 151750, "lr": 0.0, "memory": 17837, "data_time": 0.00591, "decode.loss_seg": 0.23584, "decode.acc_seg": 73.46307, "aux.loss_seg": 0.19214, "aux.acc_seg": 67.10072, "loss": 0.42798, "time": 0.4092} -{"mode": "train", "epoch": 121, "iter": 151800, "lr": 0.0, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.22229, "decode.acc_seg": 73.62512, "aux.loss_seg": 0.17186, "aux.acc_seg": 68.18506, "loss": 0.39416, "time": 0.39599} -{"mode": "train", "epoch": 121, "iter": 151850, "lr": 0.0, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.21848, "decode.acc_seg": 74.32298, "aux.loss_seg": 0.18496, "aux.acc_seg": 67.83085, "loss": 0.40344, "time": 0.39665} -{"mode": "train", "epoch": 121, "iter": 151900, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22204, "decode.acc_seg": 72.82567, "aux.loss_seg": 0.17578, "aux.acc_seg": 66.94748, "loss": 0.39782, "time": 0.39613} -{"mode": "train", "epoch": 121, "iter": 151950, "lr": 0.0, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.23204, "decode.acc_seg": 72.45265, "aux.loss_seg": 0.19247, "aux.acc_seg": 65.78077, "loss": 0.42451, "time": 0.40922} -{"mode": "train", "epoch": 121, "iter": 152000, "lr": 0.0, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.24061, "decode.acc_seg": 72.15441, "aux.loss_seg": 0.1937, "aux.acc_seg": 65.75333, "loss": 0.43431, "time": 0.39374} -{"mode": "train", "epoch": 121, "iter": 152050, "lr": 0.0, "memory": 17837, "data_time": 0.00576, "decode.loss_seg": 0.24147, "decode.acc_seg": 71.91619, "aux.loss_seg": 0.19083, "aux.acc_seg": 65.52071, "loss": 0.43231, "time": 0.39504} -{"mode": "train", "epoch": 121, "iter": 152100, "lr": 0.0, "memory": 17837, "data_time": 0.00586, "decode.loss_seg": 0.23731, "decode.acc_seg": 73.24097, "aux.loss_seg": 0.18759, "aux.acc_seg": 66.94269, "loss": 0.4249, "time": 0.41737} -{"mode": "train", "epoch": 121, "iter": 152150, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.22706, "decode.acc_seg": 72.6938, "aux.loss_seg": 0.18954, "aux.acc_seg": 66.05656, "loss": 0.4166, "time": 0.41795} -{"mode": "train", "epoch": 121, "iter": 152200, "lr": 0.0, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.22425, "decode.acc_seg": 72.53559, "aux.loss_seg": 0.18193, "aux.acc_seg": 66.35156, "loss": 0.40618, "time": 0.41254} -{"mode": "train", "epoch": 121, "iter": 152250, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23343, "decode.acc_seg": 73.58003, "aux.loss_seg": 0.19404, "aux.acc_seg": 66.52491, "loss": 0.42746, "time": 0.40434} -{"mode": "train", "epoch": 121, "iter": 152300, "lr": 0.0, "memory": 17837, "data_time": 0.00598, "decode.loss_seg": 0.23266, "decode.acc_seg": 72.33089, "aux.loss_seg": 0.19513, "aux.acc_seg": 65.52167, "loss": 0.4278, "time": 0.39992} -{"mode": "train", "epoch": 121, "iter": 152350, "lr": 0.0, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.22946, "decode.acc_seg": 72.19991, "aux.loss_seg": 0.1887, "aux.acc_seg": 65.7121, "loss": 0.41817, "time": 0.39848} -{"mode": "train", "epoch": 121, "iter": 152400, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.23539, "decode.acc_seg": 73.45419, "aux.loss_seg": 0.19635, "aux.acc_seg": 66.21393, "loss": 0.43174, "time": 0.40324} -{"mode": "train", "epoch": 121, "iter": 152450, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.22097, "decode.acc_seg": 71.96231, "aux.loss_seg": 0.18195, "aux.acc_seg": 65.53949, "loss": 0.40292, "time": 0.40569} -{"mode": "train", "epoch": 121, "iter": 152500, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.24207, "decode.acc_seg": 72.65831, "aux.loss_seg": 0.19472, "aux.acc_seg": 65.99079, "loss": 0.43679, "time": 0.40127} -{"mode": "train", "epoch": 121, "iter": 152550, "lr": 0.0, "memory": 17837, "data_time": 0.00622, "decode.loss_seg": 0.24186, "decode.acc_seg": 73.05941, "aux.loss_seg": 0.19517, "aux.acc_seg": 66.63786, "loss": 0.43703, "time": 0.40844} -{"mode": "train", "epoch": 121, "iter": 152600, "lr": 0.0, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.23669, "decode.acc_seg": 73.49749, "aux.loss_seg": 0.18871, "aux.acc_seg": 67.15438, "loss": 0.4254, "time": 0.40006} -{"mode": "train", "epoch": 121, "iter": 152650, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.24743, "decode.acc_seg": 72.16384, "aux.loss_seg": 0.19615, "aux.acc_seg": 65.71548, "loss": 0.44358, "time": 0.39345} -{"mode": "train", "epoch": 121, "iter": 152700, "lr": 0.0, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.22654, "decode.acc_seg": 74.69219, "aux.loss_seg": 0.17958, "aux.acc_seg": 68.84215, "loss": 0.40612, "time": 0.41254} -{"mode": "train", "epoch": 121, "iter": 152750, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23544, "decode.acc_seg": 74.94747, "aux.loss_seg": 0.20002, "aux.acc_seg": 67.65511, "loss": 0.43546, "time": 0.4166} -{"mode": "train", "epoch": 121, "iter": 152800, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.21778, "decode.acc_seg": 75.49949, "aux.loss_seg": 0.17951, "aux.acc_seg": 69.28276, "loss": 0.39729, "time": 0.39486} -{"mode": "train", "epoch": 122, "iter": 152850, "lr": 0.0, "memory": 17837, "data_time": 0.24088, "decode.loss_seg": 0.22631, "decode.acc_seg": 71.6933, "aux.loss_seg": 0.18697, "aux.acc_seg": 65.26615, "loss": 0.41328, "time": 0.63016} -{"mode": "train", "epoch": 122, "iter": 152900, "lr": 0.0, "memory": 17837, "data_time": 0.00648, "decode.loss_seg": 0.24323, "decode.acc_seg": 73.37702, "aux.loss_seg": 0.19544, "aux.acc_seg": 66.87066, "loss": 0.43868, "time": 0.39453} -{"mode": "train", "epoch": 122, "iter": 152950, "lr": 0.0, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.22552, "decode.acc_seg": 73.71521, "aux.loss_seg": 0.18333, "aux.acc_seg": 67.27187, "loss": 0.40885, "time": 0.39161} -{"mode": "train", "epoch": 122, "iter": 153000, "lr": 0.0, "memory": 17837, "data_time": 0.0068, "decode.loss_seg": 0.23177, "decode.acc_seg": 72.95095, "aux.loss_seg": 0.18526, "aux.acc_seg": 66.62541, "loss": 0.41703, "time": 0.40204} -{"mode": "train", "epoch": 122, "iter": 153050, "lr": 0.0, "memory": 17837, "data_time": 0.00678, "decode.loss_seg": 0.22212, "decode.acc_seg": 72.17226, "aux.loss_seg": 0.18674, "aux.acc_seg": 65.67072, "loss": 0.40886, "time": 0.39883} -{"mode": "train", "epoch": 122, "iter": 153100, "lr": 0.0, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.22413, "decode.acc_seg": 73.92932, "aux.loss_seg": 0.18237, "aux.acc_seg": 67.62552, "loss": 0.4065, "time": 0.39847} -{"mode": "train", "epoch": 122, "iter": 153150, "lr": 0.0, "memory": 17837, "data_time": 0.00618, "decode.loss_seg": 0.23947, "decode.acc_seg": 73.72637, "aux.loss_seg": 0.19572, "aux.acc_seg": 67.0123, "loss": 0.43518, "time": 0.4062} -{"mode": "train", "epoch": 122, "iter": 153200, "lr": 0.0, "memory": 17837, "data_time": 0.00656, "decode.loss_seg": 0.23727, "decode.acc_seg": 72.92238, "aux.loss_seg": 0.1921, "aux.acc_seg": 66.37235, "loss": 0.42937, "time": 0.39704} -{"mode": "train", "epoch": 122, "iter": 153250, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.24682, "decode.acc_seg": 74.21982, "aux.loss_seg": 0.19895, "aux.acc_seg": 67.31189, "loss": 0.44577, "time": 0.40321} -{"mode": "train", "epoch": 122, "iter": 153300, "lr": 0.0, "memory": 17837, "data_time": 0.0063, "decode.loss_seg": 0.21821, "decode.acc_seg": 73.14277, "aux.loss_seg": 0.17919, "aux.acc_seg": 66.80489, "loss": 0.39739, "time": 0.39605} -{"mode": "train", "epoch": 122, "iter": 153350, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23013, "decode.acc_seg": 73.97864, "aux.loss_seg": 0.18367, "aux.acc_seg": 67.75141, "loss": 0.4138, "time": 0.39552} -{"mode": "train", "epoch": 122, "iter": 153400, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.21834, "decode.acc_seg": 73.49332, "aux.loss_seg": 0.1789, "aux.acc_seg": 67.20873, "loss": 0.39724, "time": 0.41491} -{"mode": "train", "epoch": 122, "iter": 153450, "lr": 0.0, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.22573, "decode.acc_seg": 73.6919, "aux.loss_seg": 0.18955, "aux.acc_seg": 66.91055, "loss": 0.41528, "time": 0.40956} -{"mode": "train", "epoch": 122, "iter": 153500, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.22893, "decode.acc_seg": 72.76807, "aux.loss_seg": 0.18426, "aux.acc_seg": 66.52641, "loss": 0.41319, "time": 0.4009} -{"mode": "train", "epoch": 122, "iter": 153550, "lr": 0.0, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.25355, "decode.acc_seg": 73.3419, "aux.loss_seg": 0.20286, "aux.acc_seg": 66.44133, "loss": 0.45641, "time": 0.39734} -{"mode": "train", "epoch": 122, "iter": 153600, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.2287, "decode.acc_seg": 73.09546, "aux.loss_seg": 0.19045, "aux.acc_seg": 66.39998, "loss": 0.41915, "time": 0.39613} -{"mode": "train", "epoch": 122, "iter": 153650, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.23897, "decode.acc_seg": 74.25295, "aux.loss_seg": 0.19023, "aux.acc_seg": 67.86131, "loss": 0.4292, "time": 0.40808} -{"mode": "train", "epoch": 122, "iter": 153700, "lr": 0.0, "memory": 17837, "data_time": 0.00636, "decode.loss_seg": 0.23488, "decode.acc_seg": 72.73021, "aux.loss_seg": 0.19197, "aux.acc_seg": 66.04404, "loss": 0.42685, "time": 0.39783} -{"mode": "train", "epoch": 122, "iter": 153750, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.2426, "decode.acc_seg": 73.6731, "aux.loss_seg": 0.19468, "aux.acc_seg": 66.90828, "loss": 0.43728, "time": 0.39223} -{"mode": "train", "epoch": 122, "iter": 153800, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.23606, "decode.acc_seg": 72.96505, "aux.loss_seg": 0.19099, "aux.acc_seg": 66.22333, "loss": 0.42705, "time": 0.3968} -{"mode": "train", "epoch": 122, "iter": 153850, "lr": 0.0, "memory": 17837, "data_time": 0.00647, "decode.loss_seg": 0.22511, "decode.acc_seg": 73.39299, "aux.loss_seg": 0.18389, "aux.acc_seg": 66.91377, "loss": 0.409, "time": 0.39669} -{"mode": "train", "epoch": 122, "iter": 153900, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.22772, "decode.acc_seg": 72.83991, "aux.loss_seg": 0.18665, "aux.acc_seg": 66.46461, "loss": 0.41437, "time": 0.39611} -{"mode": "train", "epoch": 122, "iter": 153950, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2386, "decode.acc_seg": 72.42806, "aux.loss_seg": 0.19808, "aux.acc_seg": 65.46283, "loss": 0.43668, "time": 0.39921} -{"mode": "train", "epoch": 122, "iter": 154000, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.23773, "decode.acc_seg": 72.49455, "aux.loss_seg": 0.18966, "aux.acc_seg": 66.11353, "loss": 0.42739, "time": 0.39587} -{"mode": "train", "epoch": 122, "iter": 154050, "lr": 0.0, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.24333, "decode.acc_seg": 71.45601, "aux.loss_seg": 0.19613, "aux.acc_seg": 65.26516, "loss": 0.43947, "time": 0.40143} -{"mode": "train", "epoch": 123, "iter": 154100, "lr": 0.0, "memory": 17837, "data_time": 0.24521, "decode.loss_seg": 0.22367, "decode.acc_seg": 73.58048, "aux.loss_seg": 0.19038, "aux.acc_seg": 66.75563, "loss": 0.41405, "time": 0.63913} -{"mode": "train", "epoch": 123, "iter": 154150, "lr": 0.0, "memory": 17837, "data_time": 0.00604, "decode.loss_seg": 0.22056, "decode.acc_seg": 72.92446, "aux.loss_seg": 0.17923, "aux.acc_seg": 66.94161, "loss": 0.39979, "time": 0.41435} -{"mode": "train", "epoch": 123, "iter": 154200, "lr": 0.0, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.23262, "decode.acc_seg": 72.54947, "aux.loss_seg": 0.18679, "aux.acc_seg": 66.28011, "loss": 0.4194, "time": 0.39465} -{"mode": "train", "epoch": 123, "iter": 154250, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.22316, "decode.acc_seg": 72.97958, "aux.loss_seg": 0.18058, "aux.acc_seg": 66.83783, "loss": 0.40375, "time": 0.41128} -{"mode": "train", "epoch": 123, "iter": 154300, "lr": 0.0, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.23834, "decode.acc_seg": 72.69757, "aux.loss_seg": 0.19187, "aux.acc_seg": 66.26971, "loss": 0.43021, "time": 0.4038} -{"mode": "train", "epoch": 123, "iter": 154350, "lr": 0.0, "memory": 17837, "data_time": 0.00631, "decode.loss_seg": 0.22255, "decode.acc_seg": 73.74506, "aux.loss_seg": 0.18216, "aux.acc_seg": 67.32002, "loss": 0.40471, "time": 0.40876} -{"mode": "train", "epoch": 123, "iter": 154400, "lr": 0.0, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.22108, "decode.acc_seg": 74.75484, "aux.loss_seg": 0.18577, "aux.acc_seg": 68.08935, "loss": 0.40685, "time": 0.40191} -{"mode": "train", "epoch": 123, "iter": 154450, "lr": 0.0, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.22393, "decode.acc_seg": 72.08086, "aux.loss_seg": 0.18184, "aux.acc_seg": 65.8459, "loss": 0.40576, "time": 0.40257} -{"mode": "train", "epoch": 123, "iter": 154500, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23181, "decode.acc_seg": 72.60324, "aux.loss_seg": 0.18302, "aux.acc_seg": 66.65486, "loss": 0.41482, "time": 0.41206} -{"mode": "train", "epoch": 123, "iter": 154550, "lr": 0.0, "memory": 17837, "data_time": 0.00654, "decode.loss_seg": 0.22706, "decode.acc_seg": 72.89202, "aux.loss_seg": 0.18447, "aux.acc_seg": 66.7895, "loss": 0.41153, "time": 0.41438} -{"mode": "train", "epoch": 123, "iter": 154600, "lr": 0.0, "memory": 17837, "data_time": 0.00676, "decode.loss_seg": 0.23258, "decode.acc_seg": 73.24123, "aux.loss_seg": 0.19026, "aux.acc_seg": 66.74025, "loss": 0.42284, "time": 0.40282} -{"mode": "train", "epoch": 123, "iter": 154650, "lr": 0.0, "memory": 17837, "data_time": 0.00699, "decode.loss_seg": 0.22461, "decode.acc_seg": 72.52482, "aux.loss_seg": 0.18672, "aux.acc_seg": 66.07309, "loss": 0.41133, "time": 0.40154} -{"mode": "train", "epoch": 123, "iter": 154700, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.24446, "decode.acc_seg": 72.77685, "aux.loss_seg": 0.19474, "aux.acc_seg": 66.2446, "loss": 0.4392, "time": 0.40102} -{"mode": "train", "epoch": 123, "iter": 154750, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.23213, "decode.acc_seg": 73.23817, "aux.loss_seg": 0.19279, "aux.acc_seg": 66.52778, "loss": 0.42491, "time": 0.39745} -{"mode": "train", "epoch": 123, "iter": 154800, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.22357, "decode.acc_seg": 73.07651, "aux.loss_seg": 0.18281, "aux.acc_seg": 66.96173, "loss": 0.40638, "time": 0.39203} -{"mode": "train", "epoch": 123, "iter": 154850, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22475, "decode.acc_seg": 73.47675, "aux.loss_seg": 0.18624, "aux.acc_seg": 67.31531, "loss": 0.411, "time": 0.39456} -{"mode": "train", "epoch": 123, "iter": 154900, "lr": 0.0, "memory": 17837, "data_time": 0.00607, "decode.loss_seg": 0.22372, "decode.acc_seg": 73.14168, "aux.loss_seg": 0.18384, "aux.acc_seg": 66.87684, "loss": 0.40755, "time": 0.40313} -{"mode": "train", "epoch": 123, "iter": 154950, "lr": 0.0, "memory": 17837, "data_time": 0.00649, "decode.loss_seg": 0.22506, "decode.acc_seg": 72.27012, "aux.loss_seg": 0.18384, "aux.acc_seg": 65.83441, "loss": 0.40889, "time": 0.39736} -{"mode": "train", "epoch": 123, "iter": 155000, "lr": 0.0, "memory": 17837, "data_time": 0.00627, "decode.loss_seg": 0.22938, "decode.acc_seg": 73.63408, "aux.loss_seg": 0.18986, "aux.acc_seg": 66.82288, "loss": 0.41923, "time": 0.40052} -{"mode": "train", "epoch": 123, "iter": 155050, "lr": 0.0, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.2413, "decode.acc_seg": 73.6662, "aux.loss_seg": 0.19574, "aux.acc_seg": 66.92694, "loss": 0.43704, "time": 0.3993} -{"mode": "train", "epoch": 123, "iter": 155100, "lr": 0.0, "memory": 17837, "data_time": 0.00723, "decode.loss_seg": 0.2274, "decode.acc_seg": 73.75511, "aux.loss_seg": 0.18114, "aux.acc_seg": 67.70094, "loss": 0.40855, "time": 0.40747} -{"mode": "train", "epoch": 123, "iter": 155150, "lr": 0.0, "memory": 17837, "data_time": 0.0064, "decode.loss_seg": 0.23258, "decode.acc_seg": 74.79691, "aux.loss_seg": 0.19555, "aux.acc_seg": 67.78189, "loss": 0.42813, "time": 0.41373} -{"mode": "train", "epoch": 123, "iter": 155200, "lr": 0.0, "memory": 17837, "data_time": 0.0062, "decode.loss_seg": 0.23847, "decode.acc_seg": 72.7318, "aux.loss_seg": 0.19325, "aux.acc_seg": 66.15516, "loss": 0.43172, "time": 0.39795} -{"mode": "train", "epoch": 123, "iter": 155250, "lr": 0.0, "memory": 17837, "data_time": 0.00624, "decode.loss_seg": 0.23777, "decode.acc_seg": 73.77282, "aux.loss_seg": 0.19585, "aux.acc_seg": 67.16539, "loss": 0.43362, "time": 0.40665} -{"mode": "train", "epoch": 123, "iter": 155300, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.23532, "decode.acc_seg": 73.33306, "aux.loss_seg": 0.19334, "aux.acc_seg": 66.83919, "loss": 0.42866, "time": 0.39871} -{"mode": "train", "epoch": 123, "iter": 155350, "lr": 0.0, "memory": 17837, "data_time": 0.24611, "decode.loss_seg": 0.23939, "decode.acc_seg": 74.06752, "aux.loss_seg": 0.19376, "aux.acc_seg": 67.55808, "loss": 0.43315, "time": 0.63387} -{"mode": "train", "epoch": 124, "iter": 155400, "lr": 0.0, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.23583, "decode.acc_seg": 73.62893, "aux.loss_seg": 0.19381, "aux.acc_seg": 67.34265, "loss": 0.42965, "time": 0.40559} -{"mode": "train", "epoch": 124, "iter": 155450, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.22279, "decode.acc_seg": 71.54423, "aux.loss_seg": 0.18116, "aux.acc_seg": 65.36907, "loss": 0.40394, "time": 0.40191} -{"mode": "train", "epoch": 124, "iter": 155500, "lr": 0.0, "memory": 17837, "data_time": 0.00643, "decode.loss_seg": 0.23427, "decode.acc_seg": 72.71126, "aux.loss_seg": 0.18421, "aux.acc_seg": 66.71671, "loss": 0.41848, "time": 0.40565} -{"mode": "train", "epoch": 124, "iter": 155550, "lr": 0.0, "memory": 17837, "data_time": 0.00625, "decode.loss_seg": 0.23107, "decode.acc_seg": 72.18566, "aux.loss_seg": 0.19256, "aux.acc_seg": 65.66652, "loss": 0.42363, "time": 0.39652} -{"mode": "train", "epoch": 124, "iter": 155600, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23234, "decode.acc_seg": 73.13395, "aux.loss_seg": 0.18794, "aux.acc_seg": 66.70393, "loss": 0.42028, "time": 0.39807} -{"mode": "train", "epoch": 124, "iter": 155650, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.22809, "decode.acc_seg": 74.01572, "aux.loss_seg": 0.18672, "aux.acc_seg": 67.59112, "loss": 0.41482, "time": 0.39983} -{"mode": "train", "epoch": 124, "iter": 155700, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.2237, "decode.acc_seg": 73.86076, "aux.loss_seg": 0.1843, "aux.acc_seg": 67.69025, "loss": 0.408, "time": 0.42087} -{"mode": "train", "epoch": 124, "iter": 155750, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.23016, "decode.acc_seg": 73.20657, "aux.loss_seg": 0.18292, "aux.acc_seg": 67.229, "loss": 0.41308, "time": 0.40954} -{"mode": "train", "epoch": 124, "iter": 155800, "lr": 0.0, "memory": 17837, "data_time": 0.00639, "decode.loss_seg": 0.23175, "decode.acc_seg": 73.03516, "aux.loss_seg": 0.18578, "aux.acc_seg": 66.83266, "loss": 0.41753, "time": 0.4021} -{"mode": "train", "epoch": 124, "iter": 155850, "lr": 0.0, "memory": 17837, "data_time": 0.00628, "decode.loss_seg": 0.22206, "decode.acc_seg": 73.47591, "aux.loss_seg": 0.18483, "aux.acc_seg": 67.12556, "loss": 0.40689, "time": 0.39822} -{"mode": "train", "epoch": 124, "iter": 155900, "lr": 0.0, "memory": 17837, "data_time": 0.00672, "decode.loss_seg": 0.227, "decode.acc_seg": 74.0068, "aux.loss_seg": 0.18907, "aux.acc_seg": 67.48293, "loss": 0.41607, "time": 0.3995} -{"mode": "train", "epoch": 124, "iter": 155950, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.22815, "decode.acc_seg": 73.16448, "aux.loss_seg": 0.1854, "aux.acc_seg": 66.92752, "loss": 0.41355, "time": 0.39933} -{"mode": "train", "epoch": 124, "iter": 156000, "lr": 0.0, "memory": 17837, "data_time": 0.00634, "decode.loss_seg": 0.22926, "decode.acc_seg": 74.21137, "aux.loss_seg": 0.18476, "aux.acc_seg": 68.07376, "loss": 0.41402, "time": 0.39804} -{"mode": "train", "epoch": 124, "iter": 156050, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.2254, "decode.acc_seg": 74.1084, "aux.loss_seg": 0.18849, "aux.acc_seg": 67.30161, "loss": 0.41389, "time": 0.40043} -{"mode": "train", "epoch": 124, "iter": 156100, "lr": 0.0, "memory": 17837, "data_time": 0.00616, "decode.loss_seg": 0.22583, "decode.acc_seg": 74.61491, "aux.loss_seg": 0.18082, "aux.acc_seg": 68.45719, "loss": 0.40665, "time": 0.4147} -{"mode": "train", "epoch": 124, "iter": 156150, "lr": 0.0, "memory": 17837, "data_time": 0.00655, "decode.loss_seg": 0.23333, "decode.acc_seg": 73.82193, "aux.loss_seg": 0.18487, "aux.acc_seg": 67.83012, "loss": 0.4182, "time": 0.39989} -{"mode": "train", "epoch": 124, "iter": 156200, "lr": 0.0, "memory": 17837, "data_time": 0.00646, "decode.loss_seg": 0.23261, "decode.acc_seg": 73.55927, "aux.loss_seg": 0.18261, "aux.acc_seg": 67.52902, "loss": 0.41522, "time": 0.40279} -{"mode": "train", "epoch": 124, "iter": 156250, "lr": 0.0, "memory": 17837, "data_time": 0.00629, "decode.loss_seg": 0.23147, "decode.acc_seg": 72.71155, "aux.loss_seg": 0.18234, "aux.acc_seg": 66.68067, "loss": 0.41381, "time": 0.39866} -{"mode": "train", "epoch": 124, "iter": 156300, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.21926, "decode.acc_seg": 72.29145, "aux.loss_seg": 0.18566, "aux.acc_seg": 65.55273, "loss": 0.40492, "time": 0.42122} -{"mode": "train", "epoch": 124, "iter": 156350, "lr": 0.0, "memory": 17837, "data_time": 0.00641, "decode.loss_seg": 0.22808, "decode.acc_seg": 72.32414, "aux.loss_seg": 0.18321, "aux.acc_seg": 66.57621, "loss": 0.41129, "time": 0.40422} -{"mode": "train", "epoch": 124, "iter": 156400, "lr": 0.0, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.23661, "decode.acc_seg": 74.03465, "aux.loss_seg": 0.19846, "aux.acc_seg": 67.17703, "loss": 0.43507, "time": 0.39657} -{"mode": "train", "epoch": 124, "iter": 156450, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22941, "decode.acc_seg": 72.82785, "aux.loss_seg": 0.18144, "aux.acc_seg": 66.83119, "loss": 0.41086, "time": 0.40692} -{"mode": "train", "epoch": 124, "iter": 156500, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23315, "decode.acc_seg": 72.72637, "aux.loss_seg": 0.19542, "aux.acc_seg": 65.97888, "loss": 0.42857, "time": 0.4076} -{"mode": "train", "epoch": 124, "iter": 156550, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23515, "decode.acc_seg": 73.90842, "aux.loss_seg": 0.19056, "aux.acc_seg": 67.29489, "loss": 0.42571, "time": 0.39592} -{"mode": "train", "epoch": 124, "iter": 156600, "lr": 0.0, "memory": 17837, "data_time": 0.00614, "decode.loss_seg": 0.23171, "decode.acc_seg": 73.79444, "aux.loss_seg": 0.18607, "aux.acc_seg": 67.69624, "loss": 0.41779, "time": 0.40895} -{"mode": "train", "epoch": 125, "iter": 156650, "lr": 0.0, "memory": 17837, "data_time": 0.24837, "decode.loss_seg": 0.21987, "decode.acc_seg": 73.23624, "aux.loss_seg": 0.18653, "aux.acc_seg": 66.66636, "loss": 0.4064, "time": 0.64685} -{"mode": "train", "epoch": 125, "iter": 156700, "lr": 0.0, "memory": 17837, "data_time": 0.00613, "decode.loss_seg": 0.23481, "decode.acc_seg": 73.09278, "aux.loss_seg": 0.19205, "aux.acc_seg": 66.55455, "loss": 0.42686, "time": 0.41759} -{"mode": "train", "epoch": 125, "iter": 156750, "lr": 0.0, "memory": 17837, "data_time": 0.00665, "decode.loss_seg": 0.23293, "decode.acc_seg": 72.69809, "aux.loss_seg": 0.19389, "aux.acc_seg": 65.82854, "loss": 0.42682, "time": 0.40242} -{"mode": "train", "epoch": 125, "iter": 156800, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.22379, "decode.acc_seg": 74.0024, "aux.loss_seg": 0.18197, "aux.acc_seg": 67.76024, "loss": 0.40576, "time": 0.39757} -{"mode": "train", "epoch": 125, "iter": 156850, "lr": 0.0, "memory": 17837, "data_time": 0.00626, "decode.loss_seg": 0.2273, "decode.acc_seg": 74.18861, "aux.loss_seg": 0.19086, "aux.acc_seg": 67.46125, "loss": 0.41816, "time": 0.39956} -{"mode": "train", "epoch": 125, "iter": 156900, "lr": 0.0, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.25207, "decode.acc_seg": 71.92255, "aux.loss_seg": 0.20742, "aux.acc_seg": 65.26046, "loss": 0.45949, "time": 0.40384} -{"mode": "train", "epoch": 125, "iter": 156950, "lr": 0.0, "memory": 17837, "data_time": 0.00645, "decode.loss_seg": 0.22657, "decode.acc_seg": 73.88434, "aux.loss_seg": 0.18007, "aux.acc_seg": 68.01321, "loss": 0.40665, "time": 0.40182} -{"mode": "train", "epoch": 125, "iter": 157000, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.22539, "decode.acc_seg": 72.76017, "aux.loss_seg": 0.18545, "aux.acc_seg": 66.23551, "loss": 0.41083, "time": 0.40035} -{"mode": "train", "epoch": 125, "iter": 157050, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23296, "decode.acc_seg": 73.25219, "aux.loss_seg": 0.18539, "aux.acc_seg": 67.19671, "loss": 0.41835, "time": 0.4048} -{"mode": "train", "epoch": 125, "iter": 157100, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.21225, "decode.acc_seg": 73.6298, "aux.loss_seg": 0.17677, "aux.acc_seg": 67.36786, "loss": 0.38902, "time": 0.41032} -{"mode": "train", "epoch": 125, "iter": 157150, "lr": 0.0, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.23538, "decode.acc_seg": 72.64441, "aux.loss_seg": 0.1826, "aux.acc_seg": 66.65682, "loss": 0.41798, "time": 0.39963} -{"mode": "train", "epoch": 125, "iter": 157200, "lr": 0.0, "memory": 17837, "data_time": 0.00635, "decode.loss_seg": 0.22676, "decode.acc_seg": 72.59711, "aux.loss_seg": 0.18545, "aux.acc_seg": 66.36535, "loss": 0.41221, "time": 0.40654} -{"mode": "train", "epoch": 125, "iter": 157250, "lr": 0.0, "memory": 17837, "data_time": 0.00623, "decode.loss_seg": 0.22214, "decode.acc_seg": 73.36211, "aux.loss_seg": 0.18001, "aux.acc_seg": 67.35117, "loss": 0.40215, "time": 0.40339} -{"mode": "train", "epoch": 125, "iter": 157300, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.22972, "decode.acc_seg": 74.78072, "aux.loss_seg": 0.18976, "aux.acc_seg": 68.30929, "loss": 0.41948, "time": 0.39467} -{"mode": "train", "epoch": 125, "iter": 157350, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.23622, "decode.acc_seg": 74.71073, "aux.loss_seg": 0.18635, "aux.acc_seg": 68.40433, "loss": 0.42257, "time": 0.39543} -{"mode": "train", "epoch": 125, "iter": 157400, "lr": 0.0, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.22379, "decode.acc_seg": 74.06912, "aux.loss_seg": 0.18286, "aux.acc_seg": 67.60349, "loss": 0.40665, "time": 0.39451} -{"mode": "train", "epoch": 125, "iter": 157450, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.22365, "decode.acc_seg": 71.20493, "aux.loss_seg": 0.18587, "aux.acc_seg": 64.57784, "loss": 0.40951, "time": 0.39512} -{"mode": "train", "epoch": 125, "iter": 157500, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.23181, "decode.acc_seg": 74.12322, "aux.loss_seg": 0.19986, "aux.acc_seg": 66.89393, "loss": 0.43167, "time": 0.39698} -{"mode": "train", "epoch": 125, "iter": 157550, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.22698, "decode.acc_seg": 72.93005, "aux.loss_seg": 0.18076, "aux.acc_seg": 67.06365, "loss": 0.40775, "time": 0.39744} -{"mode": "train", "epoch": 125, "iter": 157600, "lr": 0.0, "memory": 17837, "data_time": 0.00609, "decode.loss_seg": 0.23325, "decode.acc_seg": 72.33566, "aux.loss_seg": 0.18742, "aux.acc_seg": 66.16927, "loss": 0.42067, "time": 0.40509} -{"mode": "train", "epoch": 125, "iter": 157650, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.23455, "decode.acc_seg": 73.84123, "aux.loss_seg": 0.18956, "aux.acc_seg": 67.33177, "loss": 0.42412, "time": 0.39793} -{"mode": "train", "epoch": 125, "iter": 157700, "lr": 0.0, "memory": 17837, "data_time": 0.00603, "decode.loss_seg": 0.22627, "decode.acc_seg": 73.10656, "aux.loss_seg": 0.18999, "aux.acc_seg": 66.20553, "loss": 0.41626, "time": 0.39591} -{"mode": "train", "epoch": 125, "iter": 157750, "lr": 0.0, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23352, "decode.acc_seg": 72.32204, "aux.loss_seg": 0.19399, "aux.acc_seg": 65.54521, "loss": 0.4275, "time": 0.39648} -{"mode": "train", "epoch": 125, "iter": 157800, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.21951, "decode.acc_seg": 73.55672, "aux.loss_seg": 0.1841, "aux.acc_seg": 66.98746, "loss": 0.40361, "time": 0.4006} -{"mode": "train", "epoch": 125, "iter": 157850, "lr": 0.0, "memory": 17837, "data_time": 0.00606, "decode.loss_seg": 0.23503, "decode.acc_seg": 73.65596, "aux.loss_seg": 0.19591, "aux.acc_seg": 66.88036, "loss": 0.43094, "time": 0.40175} -{"mode": "train", "epoch": 126, "iter": 157900, "lr": 0.0, "memory": 17837, "data_time": 0.2473, "decode.loss_seg": 0.23348, "decode.acc_seg": 72.92238, "aux.loss_seg": 0.19391, "aux.acc_seg": 66.10971, "loss": 0.42739, "time": 0.63561} -{"mode": "train", "epoch": 126, "iter": 157950, "lr": 0.0, "memory": 17837, "data_time": 0.00601, "decode.loss_seg": 0.225, "decode.acc_seg": 74.67052, "aux.loss_seg": 0.17713, "aux.acc_seg": 68.83197, "loss": 0.40213, "time": 0.39968} -{"mode": "train", "epoch": 126, "iter": 158000, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.2201, "decode.acc_seg": 71.72966, "aux.loss_seg": 0.17995, "aux.acc_seg": 65.4568, "loss": 0.40006, "time": 0.39679} -{"mode": "train", "epoch": 126, "iter": 158050, "lr": 0.0, "memory": 17837, "data_time": 0.00599, "decode.loss_seg": 0.2273, "decode.acc_seg": 73.56983, "aux.loss_seg": 0.18803, "aux.acc_seg": 67.01637, "loss": 0.41533, "time": 0.39787} -{"mode": "train", "epoch": 126, "iter": 158100, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.22311, "decode.acc_seg": 73.24769, "aux.loss_seg": 0.18541, "aux.acc_seg": 66.81518, "loss": 0.40852, "time": 0.40352} -{"mode": "train", "epoch": 126, "iter": 158150, "lr": 0.0, "memory": 17837, "data_time": 0.00597, "decode.loss_seg": 0.22878, "decode.acc_seg": 72.92641, "aux.loss_seg": 0.18581, "aux.acc_seg": 66.63333, "loss": 0.41459, "time": 0.40239} -{"mode": "train", "epoch": 126, "iter": 158200, "lr": 0.0, "memory": 17837, "data_time": 0.00589, "decode.loss_seg": 0.22736, "decode.acc_seg": 73.3549, "aux.loss_seg": 0.18763, "aux.acc_seg": 66.96845, "loss": 0.41499, "time": 0.40454} -{"mode": "train", "epoch": 126, "iter": 158250, "lr": 0.0, "memory": 17837, "data_time": 0.00602, "decode.loss_seg": 0.22468, "decode.acc_seg": 72.85212, "aux.loss_seg": 0.19168, "aux.acc_seg": 65.97625, "loss": 0.41636, "time": 0.39905} -{"mode": "train", "epoch": 126, "iter": 158300, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.2286, "decode.acc_seg": 72.36781, "aux.loss_seg": 0.18248, "aux.acc_seg": 66.32231, "loss": 0.41108, "time": 0.39947} -{"mode": "train", "epoch": 126, "iter": 158350, "lr": 0.0, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.21954, "decode.acc_seg": 72.74153, "aux.loss_seg": 0.18383, "aux.acc_seg": 66.22997, "loss": 0.40337, "time": 0.40218} -{"mode": "train", "epoch": 126, "iter": 158400, "lr": 0.0, "memory": 17837, "data_time": 0.00615, "decode.loss_seg": 0.22073, "decode.acc_seg": 72.55281, "aux.loss_seg": 0.1803, "aux.acc_seg": 66.18835, "loss": 0.40103, "time": 0.39832} -{"mode": "train", "epoch": 126, "iter": 158450, "lr": 0.0, "memory": 17837, "data_time": 0.00596, "decode.loss_seg": 0.22489, "decode.acc_seg": 74.24668, "aux.loss_seg": 0.18149, "aux.acc_seg": 68.01132, "loss": 0.40638, "time": 0.39878} -{"mode": "train", "epoch": 126, "iter": 158500, "lr": 0.0, "memory": 17837, "data_time": 0.00587, "decode.loss_seg": 0.2331, "decode.acc_seg": 72.64711, "aux.loss_seg": 0.20056, "aux.acc_seg": 65.35962, "loss": 0.43366, "time": 0.40211} -{"mode": "train", "epoch": 126, "iter": 158550, "lr": 0.0, "memory": 17837, "data_time": 0.00621, "decode.loss_seg": 0.22577, "decode.acc_seg": 73.32591, "aux.loss_seg": 0.17753, "aux.acc_seg": 67.39044, "loss": 0.4033, "time": 0.40057} -{"mode": "train", "epoch": 126, "iter": 158600, "lr": 0.0, "memory": 17837, "data_time": 0.00574, "decode.loss_seg": 0.22744, "decode.acc_seg": 73.32078, "aux.loss_seg": 0.19007, "aux.acc_seg": 66.64061, "loss": 0.4175, "time": 0.40821} -{"mode": "train", "epoch": 126, "iter": 158650, "lr": 0.0, "memory": 17837, "data_time": 0.00608, "decode.loss_seg": 0.23674, "decode.acc_seg": 73.37777, "aux.loss_seg": 0.19073, "aux.acc_seg": 66.70298, "loss": 0.42747, "time": 0.40549} -{"mode": "train", "epoch": 126, "iter": 158700, "lr": 0.0, "memory": 17837, "data_time": 0.00583, "decode.loss_seg": 0.23042, "decode.acc_seg": 72.79374, "aux.loss_seg": 0.19002, "aux.acc_seg": 66.15439, "loss": 0.42044, "time": 0.39876} -{"mode": "train", "epoch": 126, "iter": 158750, "lr": 0.0, "memory": 17837, "data_time": 0.00579, "decode.loss_seg": 0.22974, "decode.acc_seg": 74.30881, "aux.loss_seg": 0.18268, "aux.acc_seg": 68.19121, "loss": 0.41242, "time": 0.40137} -{"mode": "train", "epoch": 126, "iter": 158800, "lr": 0.0, "memory": 17837, "data_time": 0.00585, "decode.loss_seg": 0.234, "decode.acc_seg": 72.54645, "aux.loss_seg": 0.194, "aux.acc_seg": 66.04792, "loss": 0.428, "time": 0.40096} -{"mode": "train", "epoch": 126, "iter": 158850, "lr": 0.0, "memory": 17837, "data_time": 0.00644, "decode.loss_seg": 0.22667, "decode.acc_seg": 71.78656, "aux.loss_seg": 0.18564, "aux.acc_seg": 65.19895, "loss": 0.41231, "time": 0.39844} -{"mode": "train", "epoch": 126, "iter": 158900, "lr": 0.0, "memory": 17837, "data_time": 0.0059, "decode.loss_seg": 0.22833, "decode.acc_seg": 72.67043, "aux.loss_seg": 0.18307, "aux.acc_seg": 66.59413, "loss": 0.4114, "time": 0.40699} -{"mode": "train", "epoch": 126, "iter": 158950, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.23181, "decode.acc_seg": 73.18651, "aux.loss_seg": 0.18792, "aux.acc_seg": 66.73444, "loss": 0.41973, "time": 0.41224} -{"mode": "train", "epoch": 126, "iter": 159000, "lr": 0.0, "memory": 17837, "data_time": 0.0065, "decode.loss_seg": 0.22778, "decode.acc_seg": 72.15284, "aux.loss_seg": 0.18428, "aux.acc_seg": 65.92674, "loss": 0.41206, "time": 0.40871} -{"mode": "train", "epoch": 126, "iter": 159050, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23134, "decode.acc_seg": 74.25808, "aux.loss_seg": 0.18499, "aux.acc_seg": 67.9723, "loss": 0.41633, "time": 0.40588} -{"mode": "train", "epoch": 126, "iter": 159100, "lr": 0.0, "memory": 17837, "data_time": 0.00632, "decode.loss_seg": 0.22194, "decode.acc_seg": 72.65543, "aux.loss_seg": 0.18652, "aux.acc_seg": 65.97426, "loss": 0.40846, "time": 0.40298} -{"mode": "train", "epoch": 127, "iter": 159150, "lr": 0.0, "memory": 17837, "data_time": 0.24609, "decode.loss_seg": 0.23593, "decode.acc_seg": 73.30196, "aux.loss_seg": 0.19441, "aux.acc_seg": 66.54023, "loss": 0.43034, "time": 0.6412} -{"mode": "train", "epoch": 127, "iter": 159200, "lr": 0.0, "memory": 17837, "data_time": 0.00612, "decode.loss_seg": 0.22423, "decode.acc_seg": 73.67006, "aux.loss_seg": 0.18448, "aux.acc_seg": 67.37002, "loss": 0.4087, "time": 0.39809} -{"mode": "train", "epoch": 127, "iter": 159250, "lr": 0.0, "memory": 17837, "data_time": 0.00582, "decode.loss_seg": 0.23122, "decode.acc_seg": 72.65604, "aux.loss_seg": 0.19045, "aux.acc_seg": 65.91637, "loss": 0.42167, "time": 0.40452} -{"mode": "train", "epoch": 127, "iter": 159300, "lr": 0.0, "memory": 17837, "data_time": 0.006, "decode.loss_seg": 0.22665, "decode.acc_seg": 72.60629, "aux.loss_seg": 0.1869, "aux.acc_seg": 66.07682, "loss": 0.41355, "time": 0.40985} -{"mode": "train", "epoch": 127, "iter": 159350, "lr": 0.0, "memory": 17837, "data_time": 0.00611, "decode.loss_seg": 0.24242, "decode.acc_seg": 72.79561, "aux.loss_seg": 0.19567, "aux.acc_seg": 66.10808, "loss": 0.43808, "time": 0.40382} -{"mode": "train", "epoch": 127, "iter": 159400, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.22573, "decode.acc_seg": 73.88058, "aux.loss_seg": 0.18968, "aux.acc_seg": 67.4639, "loss": 0.41541, "time": 0.39726} -{"mode": "train", "epoch": 127, "iter": 159450, "lr": 0.0, "memory": 17837, "data_time": 0.00581, "decode.loss_seg": 0.23641, "decode.acc_seg": 72.68873, "aux.loss_seg": 0.1863, "aux.acc_seg": 66.44421, "loss": 0.42272, "time": 0.39637} -{"mode": "train", "epoch": 127, "iter": 159500, "lr": 0.0, "memory": 17837, "data_time": 0.0058, "decode.loss_seg": 0.22751, "decode.acc_seg": 72.85997, "aux.loss_seg": 0.1867, "aux.acc_seg": 66.5886, "loss": 0.41422, "time": 0.39693} -{"mode": "train", "epoch": 127, "iter": 159550, "lr": 0.0, "memory": 17837, "data_time": 0.00593, "decode.loss_seg": 0.23255, "decode.acc_seg": 73.09941, "aux.loss_seg": 0.18701, "aux.acc_seg": 66.60507, "loss": 0.41956, "time": 0.39776} -{"mode": "train", "epoch": 127, "iter": 159600, "lr": 0.0, "memory": 17837, "data_time": 0.00577, "decode.loss_seg": 0.22905, "decode.acc_seg": 72.67475, "aux.loss_seg": 0.18153, "aux.acc_seg": 66.61895, "loss": 0.41058, "time": 0.39956} -{"mode": "train", "epoch": 127, "iter": 159650, "lr": 0.0, "memory": 17837, "data_time": 0.00595, "decode.loss_seg": 0.22286, "decode.acc_seg": 75.02299, "aux.loss_seg": 0.18313, "aux.acc_seg": 68.49441, "loss": 0.40599, "time": 0.40103} -{"mode": "train", "epoch": 127, "iter": 159700, "lr": 0.0, "memory": 17837, "data_time": 0.00573, "decode.loss_seg": 0.22427, "decode.acc_seg": 71.94509, "aux.loss_seg": 0.18442, "aux.acc_seg": 65.17385, "loss": 0.40869, "time": 0.39866} -{"mode": "train", "epoch": 127, "iter": 159750, "lr": 0.0, "memory": 17837, "data_time": 0.00594, "decode.loss_seg": 0.22976, "decode.acc_seg": 73.88303, "aux.loss_seg": 0.18973, "aux.acc_seg": 67.49817, "loss": 0.41949, "time": 0.3954} -{"mode": "train", "epoch": 127, "iter": 159800, "lr": 0.0, "memory": 17837, "data_time": 0.00651, "decode.loss_seg": 0.22923, "decode.acc_seg": 73.07892, "aux.loss_seg": 0.18947, "aux.acc_seg": 66.45669, "loss": 0.4187, "time": 0.39473} -{"mode": "train", "epoch": 127, "iter": 159850, "lr": 0.0, "memory": 17837, "data_time": 0.00588, "decode.loss_seg": 0.22961, "decode.acc_seg": 73.6412, "aux.loss_seg": 0.18827, "aux.acc_seg": 67.4058, "loss": 0.41787, "time": 0.39623} -{"mode": "train", "epoch": 127, "iter": 159900, "lr": 0.0, "memory": 17837, "data_time": 0.00578, "decode.loss_seg": 0.22823, "decode.acc_seg": 73.32526, "aux.loss_seg": 0.19121, "aux.acc_seg": 66.46662, "loss": 0.41945, "time": 0.40277} -{"mode": "train", "epoch": 127, "iter": 159950, "lr": 0.0, "memory": 17837, "data_time": 0.00605, "decode.loss_seg": 0.2347, "decode.acc_seg": 73.25413, "aux.loss_seg": 0.19254, "aux.acc_seg": 66.66311, "loss": 0.42724, "time": 0.41305} -{"mode": "val", "epoch": 127, "iter": 160000, "lr": 0.0, "mIoU": 0.4624, "mAcc": 0.5842, "aAcc": 0.8148, "IoU.wall": 0.7532, "IoU.building": 0.8059, "IoU.sky": 0.9381, "IoU.floor": 0.7995, "IoU.tree": 0.7333, "IoU.ceiling": 0.8217, "IoU.road": 0.8089, "IoU.bed ": 0.8596, "IoU.windowpane": 0.6027, "IoU.grass": 0.6461, "IoU.cabinet": 0.5879, "IoU.sidewalk": 0.6105, "IoU.person": 0.7544, "IoU.earth": 0.3491, "IoU.door": 0.4229, "IoU.table": 0.5477, "IoU.mountain": 0.5874, "IoU.plant": 0.5065, "IoU.curtain": 0.6745, "IoU.chair": 0.5202, "IoU.car": 0.8219, "IoU.water": 0.4987, "IoU.painting": 0.6881, "IoU.sofa": 0.5736, "IoU.shelf": 0.3842, "IoU.house": 0.4662, "IoU.sea": 0.5218, "IoU.mirror": 0.5881, "IoU.rug": 0.6438, "IoU.field": 0.2771, "IoU.armchair": 0.3505, "IoU.seat": 0.5849, "IoU.fence": 0.423, "IoU.desk": 0.4891, "IoU.rock": 0.4134, "IoU.wardrobe": 0.4384, "IoU.lamp": 0.5666, "IoU.bathtub": 0.7274, "IoU.railing": 0.3419, "IoU.cushion": 0.5271, "IoU.base": 0.3218, "IoU.box": 0.2486, "IoU.column": 0.4094, "IoU.signboard": 0.3269, "IoU.chest of drawers": 0.3799, "IoU.counter": 0.2683, "IoU.sand": 0.4257, "IoU.sink": 0.6813, "IoU.skyscraper": 0.6653, "IoU.fireplace": NaN, "IoU.refrigerator": 0.712, "IoU.grandstand": 0.4854, "IoU.path": 0.1869, "IoU.stairs": 0.2969, "IoU.runway": 0.6932, "IoU.case": 0.458, "IoU.pool table": 0.9034, "IoU.pillow": 0.5404, "IoU.screen door": 0.5666, "IoU.stairway": 0.2486, "IoU.river": 0.164, "IoU.bridge": 0.5846, "IoU.bookcase": 0.4393, "IoU.blind": NaN, "IoU.coffee table": 0.532, "IoU.toilet": 0.8072, "IoU.flower": 0.4159, "IoU.book": 0.4401, "IoU.hill": 0.1254, "IoU.bench": 0.4046, "IoU.countertop": 0.497, "IoU.stove": 0.673, "IoU.palm": 0.5059, "IoU.kitchen island": 0.3604, "IoU.computer": 0.6677, "IoU.swivel chair": 0.4443, "IoU.boat": 0.4193, "IoU.bar": 0.3548, "IoU.arcade machine": 0.4929, "IoU.hovel": 0.3945, "IoU.bus": 0.7806, "IoU.towel": 0.6111, "IoU.light": 0.5053, "IoU.truck": 0.1523, "IoU.tower": 0.2917, "IoU.chandelier": 0.63, "IoU.awning": 0.2434, "IoU.streetlight": 0.1902, "IoU.booth": 0.5547, "IoU.television receiver": NaN, "IoU.airplane": 0.5326, "IoU.dirt track": 0.213, "IoU.apparel": 0.3014, "IoU.pole": 0.1362, "IoU.land": 0.0406, "IoU.bannister": 0.0457, "IoU.escalator": 0.3101, "IoU.ottoman": 0.3725, "IoU.bottle": NaN, "IoU.buffet": 0.4707, "IoU.poster": 0.2576, "IoU.stage": 0.161, "IoU.van": 0.4024, "IoU.ship": 0.5635, "IoU.fountain": 0.231, "IoU.conveyer belt": 0.791, "IoU.canopy": 0.2092, "IoU.washer": 0.6726, "IoU.plaything": 0.1777, "IoU.swimming pool": 0.5673, "IoU.stool": 0.3767, "IoU.barrel": 0.497, "IoU.basket": 0.2327, "IoU.waterfall": 0.5533, "IoU.tent": 0.9061, "IoU.bag": 0.0631, "IoU.minibike": 0.7234, "IoU.cradle": NaN, "IoU.oven": 0.3564, "IoU.ball": 0.4094, "IoU.food": 0.4949, "IoU.step": 0.0813, "IoU.tank": 0.5451, "IoU.trade name": 0.2417, "IoU.microwave": 0.7608, "IoU.pot": 0.4506, "IoU.animal": NaN, "IoU.bicycle": 0.4865, "IoU.lake": 0.5644, "IoU.dishwasher": 0.5819, "IoU.screen": 0.6755, "IoU.blanket": 0.1223, "IoU.sculpture": 0.5179, "IoU.hood": 0.5707, "IoU.sconce": 0.4331, "IoU.vase": 0.3123, "IoU.traffic light": 0.237, "IoU.tray": 0.075, "IoU.ashcan": 0.3007, "IoU.fan": 0.5501, "IoU.pier": 0.319, "IoU.crt screen": 0.042, "IoU.plate": 0.5293, "IoU.monitor": 0.099, "IoU.bulletin board": 0.3338, "IoU.shower": 0.016, "IoU.radiator": 0.5493, "IoU.glass": 0.1149, "IoU.clock": 0.3567, "IoU.flag": 0.4858, "Acc.wall": 0.8686, "Acc.building": 0.9067, "Acc.sky": 0.9705, "Acc.floor": 0.8972, "Acc.tree": 0.8747, "Acc.ceiling": 0.915, "Acc.road": 0.8863, "Acc.bed ": 0.9473, "Acc.windowpane": 0.7693, "Acc.grass": 0.826, "Acc.cabinet": 0.7136, "Acc.sidewalk": 0.7792, "Acc.person": 0.906, "Acc.earth": 0.4685, "Acc.door": 0.5572, "Acc.table": 0.7133, "Acc.mountain": 0.7309, "Acc.plant": 0.6214, "Acc.curtain": 0.8217, "Acc.chair": 0.6848, "Acc.car": 0.9104, "Acc.water": 0.6477, "Acc.painting": 0.8693, "Acc.sofa": 0.7723, "Acc.shelf": 0.5682, "Acc.house": 0.6799, "Acc.sea": 0.7754, "Acc.mirror": 0.6964, "Acc.rug": 0.7064, "Acc.field": 0.4606, "Acc.armchair": 0.5046, "Acc.seat": 0.7607, "Acc.fence": 0.5766, "Acc.desk": 0.6911, "Acc.rock": 0.6268, "Acc.wardrobe": 0.6067, "Acc.lamp": 0.707, "Acc.bathtub": 0.8, "Acc.railing": 0.4931, "Acc.cushion": 0.667, "Acc.base": 0.4372, "Acc.box": 0.3293, "Acc.column": 0.5024, "Acc.signboard": 0.4471, "Acc.chest of drawers": 0.5266, "Acc.counter": 0.3335, "Acc.sand": 0.6533, "Acc.sink": 0.766, "Acc.skyscraper": 0.8533, "Acc.fireplace": NaN, "Acc.refrigerator": 0.844, "Acc.grandstand": 0.7423, "Acc.path": 0.2675, "Acc.stairs": 0.3614, "Acc.runway": 0.8964, "Acc.case": 0.5839, "Acc.pool table": 0.962, "Acc.pillow": 0.6351, "Acc.screen door": 0.7685, "Acc.stairway": 0.3365, "Acc.river": 0.2634, "Acc.bridge": 0.7051, "Acc.bookcase": 0.5356, "Acc.blind": NaN, "Acc.coffee table": 0.7882, "Acc.toilet": 0.8892, "Acc.flower": 0.5723, "Acc.book": 0.6612, "Acc.hill": 0.1826, "Acc.bench": 0.507, "Acc.countertop": 0.6585, "Acc.stove": 0.7851, "Acc.palm": 0.7496, "Acc.kitchen island": 0.6859, "Acc.computer": 0.802, "Acc.swivel chair": 0.5829, "Acc.boat": 0.4774, "Acc.bar": 0.4708, "Acc.arcade machine": 0.5266, "Acc.hovel": 0.4417, "Acc.bus": 0.9417, "Acc.towel": 0.7505, "Acc.light": 0.586, "Acc.truck": 0.2105, "Acc.tower": 0.44, "Acc.chandelier": 0.8049, "Acc.awning": 0.3005, "Acc.streetlight": 0.254, "Acc.booth": 0.6294, "Acc.television receiver": NaN, "Acc.airplane": 0.6227, "Acc.dirt track": 0.4459, "Acc.apparel": 0.4784, "Acc.pole": 0.1819, "Acc.land": 0.0507, "Acc.bannister": 0.056, "Acc.escalator": 0.4052, "Acc.ottoman": 0.563, "Acc.bottle": NaN, "Acc.buffet": 0.5536, "Acc.poster": 0.3614, "Acc.stage": 0.2534, "Acc.van": 0.5617, "Acc.ship": 0.8966, "Acc.fountain": 0.2331, "Acc.conveyer belt": 0.8809, "Acc.canopy": 0.2825, "Acc.washer": 0.7157, "Acc.plaything": 0.2705, "Acc.swimming pool": 0.8117, "Acc.stool": 0.5018, "Acc.barrel": 0.6903, "Acc.basket": 0.3135, "Acc.waterfall": 0.7046, "Acc.tent": 0.9833, "Acc.bag": 0.0786, "Acc.minibike": 0.8659, "Acc.cradle": NaN, "Acc.oven": 0.5388, "Acc.ball": 0.4394, "Acc.food": 0.5665, "Acc.step": 0.0984, "Acc.tank": 0.6335, "Acc.trade name": 0.2961, "Acc.microwave": 0.8589, "Acc.pot": 0.5172, "Acc.animal": NaN, "Acc.bicycle": 0.714, "Acc.lake": 0.651, "Acc.dishwasher": 0.7156, "Acc.screen": 0.8236, "Acc.blanket": 0.1416, "Acc.sculpture": 0.7385, "Acc.hood": 0.642, "Acc.sconce": 0.5239, "Acc.vase": 0.4519, "Acc.traffic light": 0.3696, "Acc.tray": 0.145, "Acc.ashcan": 0.3643, "Acc.fan": 0.6985, "Acc.pier": 0.4707, "Acc.crt screen": 0.122, "Acc.plate": 0.6538, "Acc.monitor": 0.1086, "Acc.bulletin board": 0.4529, "Acc.shower": 0.0282, "Acc.radiator": 0.5992, "Acc.glass": 0.1271, "Acc.clock": 0.453, "Acc.flag": 0.5937} diff --git a/PyTorch/build-in/Classification/Twins/Twins/losses.py b/PyTorch/build-in/Classification/Twins/Twins/losses.py deleted file mode 100644 index ff7748fb8..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/losses.py +++ /dev/null @@ -1,64 +0,0 @@ -# Copyright (c) 2015-present, Facebook, Inc. -# All rights reserved. -""" -Implements the knowledge distillation loss -""" -import torch -from torch.nn import functional as F - - -class DistillationLoss(torch.nn.Module): - """ - This module wraps a standard criterion and adds an extra knowledge distillation loss by - taking a teacher model prediction and using it as additional supervision. - """ - def __init__(self, base_criterion: torch.nn.Module, teacher_model: torch.nn.Module, - distillation_type: str, alpha: float, tau: float): - super().__init__() - self.base_criterion = base_criterion - self.teacher_model = teacher_model - assert distillation_type in ['none', 'soft', 'hard'] - self.distillation_type = distillation_type - self.alpha = alpha - self.tau = tau - - def forward(self, inputs, outputs, labels): - """ - Args: - inputs: The original inputs that are feed to the teacher model - outputs: the outputs of the model to be trained. It is expected to be - either a Tensor, or a Tuple[Tensor, Tensor], with the original output - in the first position and the distillation predictions as the second output - labels: the labels for the base criterion - """ - outputs_kd = None - if not isinstance(outputs, torch.Tensor): - # assume that the model outputs a tuple of [outputs, outputs_kd] - outputs, outputs_kd = outputs - base_loss = self.base_criterion(outputs, labels) - if self.distillation_type == 'none': - return base_loss - - if outputs_kd is None: - raise ValueError("When knowledge distillation is enabled, the model is " - "expected to return a Tuple[Tensor, Tensor] with the output of the " - "class_token and the dist_token") - # don't backprop throught the teacher - with torch.no_grad(): - teacher_outputs = self.teacher_model(inputs) - - if self.distillation_type == 'soft': - T = self.tau - # taken from https://github.com/peterliht/knowledge-distillation-pytorch/blob/master/model/net.py#L100 - # with slight modifications - distillation_loss = F.kl_div( - F.log_softmax(outputs_kd / T, dim=1), - F.log_softmax(teacher_outputs / T, dim=1), - reduction='sum', - log_target=True - ) * (T * T) / outputs_kd.numel() - elif self.distillation_type == 'hard': - distillation_loss = F.cross_entropy(outputs_kd, teacher_outputs.argmax(dim=1)) - - loss = base_loss * (1 - self.alpha) + distillation_loss * self.alpha - return loss diff --git a/PyTorch/build-in/Classification/Twins/Twins/main.py b/PyTorch/build-in/Classification/Twins/Twins/main.py deleted file mode 100644 index a0d0c88ca..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/main.py +++ /dev/null @@ -1,384 +0,0 @@ -import argparse -import datetime -import numpy as np -import time -import torch -import torch.backends.cudnn as cudnn -import json - -from pathlib import Path - -from timm.data import Mixup -from timm.models import create_model -from timm.loss import LabelSmoothingCrossEntropy, SoftTargetCrossEntropy -from timm.scheduler import create_scheduler -from timm.optim import create_optimizer -from timm.utils import NativeScaler, get_state_dict, ModelEma - -from datasets import build_dataset -from engine import train_one_epoch, evaluate -from losses import DistillationLoss -from samplers import RASampler -import gvt -import utils -import collections - - -def get_args_parser(): - parser = argparse.ArgumentParser('PVT training and evaluation script', add_help=False) - parser.add_argument('--batch-size', default=64, type=int) - parser.add_argument('--epochs', default=300, type=int) - - # Model parameters - parser.add_argument('--model', default='pvt_small', type=str, metavar='MODEL', - help='Name of model to train') - parser.add_argument('--input-size', default=224, type=int, help='images input size') - - parser.add_argument('--drop', type=float, default=0.0, metavar='PCT', - help='Dropout rate (default: 0.)') - parser.add_argument('--drop-path', type=float, default=0.1, metavar='PCT', - help='Drop path rate (default: 0.1)') - - # Optimizer parameters - parser.add_argument('--opt', default='adamw', type=str, metavar='OPTIMIZER', - help='Optimizer (default: "adamw"') - parser.add_argument('--opt-eps', default=1e-8, type=float, metavar='EPSILON', - help='Optimizer Epsilon (default: 1e-8)') - parser.add_argument('--opt-betas', default=None, type=float, nargs='+', metavar='BETA', - help='Optimizer Betas (default: None, use opt default)') - parser.add_argument('--clip-grad', type=float, default=5, metavar='NORM', - help='Clip gradient norm (default: None, no clipping)') - parser.add_argument('--momentum', type=float, default=0.9, metavar='M', - help='SGD momentum (default: 0.9)') - parser.add_argument('--weight-decay', type=float, default=0.05, - help='weight decay (default: 0.05)') - # Learning rate schedule parameters - parser.add_argument('--sched', default='cosine', type=str, metavar='SCHEDULER', - help='LR scheduler (default: "cosine"') - parser.add_argument('--lr', type=float, default=5e-4, metavar='LR', - help='learning rate (default: 5e-4)') - parser.add_argument('--lr-noise', type=float, nargs='+', default=None, metavar='pct, pct', - help='learning rate noise on/off epoch percentages') - parser.add_argument('--lr-noise-pct', type=float, default=0.67, metavar='PERCENT', - help='learning rate noise limit percent (default: 0.67)') - parser.add_argument('--lr-noise-std', type=float, default=1.0, metavar='STDDEV', - help='learning rate noise std-dev (default: 1.0)') - parser.add_argument('--warmup-lr', type=float, default=1e-6, metavar='LR', - help='warmup learning rate (default: 1e-6)') - parser.add_argument('--min-lr', type=float, default=1e-5, metavar='LR', - help='lower lr bound for cyclic schedulers that hit 0 (1e-5)') - - parser.add_argument('--decay-epochs', type=float, default=30, metavar='N', - help='epoch interval to decay LR') - parser.add_argument('--warmup-epochs', type=int, default=5, metavar='N', - help='epochs to warmup LR, if scheduler supports') - parser.add_argument('--cooldown-epochs', type=int, default=10, metavar='N', - help='epochs to cooldown LR at min_lr, after cyclic schedule ends') - parser.add_argument('--patience-epochs', type=int, default=10, metavar='N', - help='patience epochs for Plateau LR scheduler (default: 10') - parser.add_argument('--decay-rate', '--dr', type=float, default=0.1, metavar='RATE', - help='LR decay rate (default: 0.1)') - - # Augmentation parameters - parser.add_argument('--color-jitter', type=float, default=0.4, metavar='PCT', - help='Color jitter factor (default: 0.4)') - parser.add_argument('--aa', type=str, default='rand-m9-mstd0.5-inc1', metavar='NAME', - help='Use AutoAugment policy. "v0" or "original". " + \ - "(default: rand-m9-mstd0.5-inc1)'), - parser.add_argument('--smoothing', type=float, default=0.1, help='Label smoothing (default: 0.1)') - parser.add_argument('--train-interpolation', type=str, default='bicubic', - help='Training interpolation (random, bilinear, bicubic default: "bicubic")') - - parser.add_argument('--repeated-aug', action='store_true') - parser.add_argument('--no-repeated-aug', action='store_false', dest='repeated_aug') - parser.set_defaults(repeated_aug=False) - - # * Random Erase params - parser.add_argument('--reprob', type=float, default=0.25, metavar='PCT', - help='Random erase prob (default: 0.25)') - parser.add_argument('--remode', type=str, default='pixel', - help='Random erase mode (default: "pixel")') - parser.add_argument('--recount', type=int, default=1, - help='Random erase count (default: 1)') - parser.add_argument('--resplit', action='store_true', default=False, - help='Do not random erase first (clean) augmentation split') - - # * Mixup params - parser.add_argument('--mixup', type=float, default=0.8, - help='mixup alpha, mixup enabled if > 0. (default: 0.8)') - parser.add_argument('--cutmix', type=float, default=1.0, - help='cutmix alpha, cutmix enabled if > 0. (default: 1.0)') - parser.add_argument('--cutmix-minmax', type=float, nargs='+', default=None, - help='cutmix min/max ratio, overrides alpha and enables cutmix if set (default: None)') - parser.add_argument('--mixup-prob', type=float, default=1.0, - help='Probability of performing mixup or cutmix when either/both is enabled') - parser.add_argument('--mixup-switch-prob', type=float, default=0.5, - help='Probability of switching to cutmix when both mixup and cutmix enabled') - parser.add_argument('--mixup-mode', type=str, default='batch', - help='How to apply mixup/cutmix params. Per "batch", "pair", or "elem"') - - # * Finetuning params - parser.add_argument('--finetune', default='', help='finetune from checkpoint') - - # Dataset parameters - parser.add_argument('--data-path', default='/datasets01/imagenet_full_size/061417/', type=str, - help='dataset path') - parser.add_argument('--data-set', default='IMNET', choices=['CIFAR', 'IMNET', 'INAT', 'INAT19'], - type=str, help='Image Net dataset path') - parser.add_argument('--use-mcloader', action='store_true', default=False, help='Use mcloader') - parser.add_argument('--inat-category', default='name', - choices=['kingdom', 'phylum', 'class', 'order', 'supercategory', 'family', 'genus', 'name'], - type=str, help='semantic granularity') - - parser.add_argument('--output_dir', default='', - help='path where to save, empty for no saving') - parser.add_argument('--device', default='cuda', - help='device to use for training / testing') - parser.add_argument('--seed', default=0, type=int) - parser.add_argument('--resume', default='', help='resume from checkpoint') - parser.add_argument('--start_epoch', default=0, type=int, metavar='N', - help='start epoch') - parser.add_argument('--eval', action='store_true', help='Perform evaluation only') - parser.add_argument('--dist-eval', action='store_true', default=False, help='Enabling distributed evaluation') - parser.add_argument('--num_workers', default=10, type=int) - parser.add_argument('--pin-mem', action='store_true', - help='Pin CPU memory in DataLoader for more efficient (sometimes) transfer to GPU.') - parser.add_argument('--no-pin-mem', action='store_false', dest='pin_mem', - help='') - parser.set_defaults(pin_mem=True) - - # distributed training parameters - parser.add_argument('--world_size', default=1, type=int, - help='number of distributed processes') - parser.add_argument('--dist_url', default='env://', help='url used to set up distributed training') - - # test throught - parser.add_argument('--throughout', action='store_true', help='Perform throughout only') - return parser - - -@torch.no_grad() -def throughput(data_loader, model, logger): - model.eval() - - for idx, (images, _) in enumerate(data_loader): - images = images.cuda(non_blocking=True) - batch_size = images.shape[0] - for i in range(50): - model(images) - torch.cuda.synchronize() - logger.info(f"throughput averaged with 30 times") - tic1 = time.time() - for i in range(30): - model(images) - torch.cuda.synchronize() - tic2 = time.time() - logger.info(f"batch_size {batch_size} throughput {30 * batch_size / (tic2 - tic1)}") - return - - -def main(args): - utils.init_distributed_mode(args) - print(args) - - device = torch.device(args.device) - - # fix the seed for reproducibility - seed = args.seed + utils.get_rank() - torch.manual_seed(seed) - np.random.seed(seed) - cudnn.benchmark = True - - dataset_train, args.nb_classes = build_dataset(is_train=True, args=args) - dataset_val, _ = build_dataset(is_train=False, args=args) - - if args.distributed: - num_tasks = utils.get_world_size() - global_rank = utils.get_rank() - if args.repeated_aug: - sampler_train = RASampler( - dataset_train, num_replicas=num_tasks, rank=global_rank, shuffle=True - ) - else: - sampler_train = torch.utils.data.DistributedSampler( - dataset_train, num_replicas=num_tasks, rank=global_rank, shuffle=True - ) - if args.dist_eval: - if len(dataset_val) % num_tasks != 0: - print('Warning: Enabling distributed evaluation with an eval dataset not divisible by process number. ' - 'This will slightly alter validation results as extra duplicate entries are added to achieve ' - 'equal num of samples per-process.') - sampler_val = torch.utils.data.DistributedSampler( - dataset_val, num_replicas=num_tasks, rank=global_rank, shuffle=False) - else: - sampler_val = torch.utils.data.SequentialSampler(dataset_val) - else: - sampler_train = torch.utils.data.RandomSampler(dataset_train) - sampler_val = torch.utils.data.SequentialSampler(dataset_val) - - data_loader_train = torch.utils.data.DataLoader( - dataset_train, sampler=sampler_train, - batch_size=args.batch_size, - num_workers=args.num_workers, - pin_memory=args.pin_mem, - drop_last=True, - ) - - data_loader_val = torch.utils.data.DataLoader( - dataset_val, sampler=sampler_val, - batch_size=int(1.5 * args.batch_size), - num_workers=args.num_workers, - pin_memory=args.pin_mem, - drop_last=False - ) - - mixup_fn = None - mixup_active = args.mixup > 0 or args.cutmix > 0. or args.cutmix_minmax is not None - if mixup_active: - mixup_fn = Mixup( - mixup_alpha=args.mixup, cutmix_alpha=args.cutmix, cutmix_minmax=args.cutmix_minmax, - prob=args.mixup_prob, switch_prob=args.mixup_switch_prob, mode=args.mixup_mode, - label_smoothing=args.smoothing, num_classes=args.nb_classes) - - print(f"Creating model: {args.model}") - model = create_model( - args.model, - pretrained=False, - num_classes=args.nb_classes, - drop_rate=args.drop, - drop_path_rate=args.drop_path, - drop_block_rate=None, - ) - model.to(device) - model_ema = None - - if args.distributed: - model = torch.nn.parallel.DistributedDataParallel(model, device_ids=[args.gpu]) - model_without_ddp = model.module - else: - model_without_ddp = model - n_parameters = sum(p.numel() for p in model.parameters() if p.requires_grad) - print('number of params:', n_parameters) - - linear_scaled_lr = args.lr * args.batch_size * utils.get_world_size() / 512.0 - args.lr = linear_scaled_lr - optimizer = create_optimizer(args, model_without_ddp) - loss_scaler = NativeScaler() - - lr_scheduler, _ = create_scheduler(args, optimizer) - - criterion = LabelSmoothingCrossEntropy() - - if args.mixup > 0.: - # smoothing is handled with mixup label transform - criterion = SoftTargetCrossEntropy() - elif args.smoothing: - criterion = LabelSmoothingCrossEntropy(smoothing=args.smoothing) - else: - criterion = torch.nn.CrossEntropyLoss() - - criterion = DistillationLoss( - criterion, None, 'none', 0, 0 - ) - - if not args.output_dir: - args.output_dir = args.model - if utils.is_main_process(): - import os - if not os.path.exists(args.model): - os.mkdir(args.model) - - output_dir = Path(args.output_dir) - if args.resume: - if args.resume.startswith('https'): - checkpoint = torch.hub.load_state_dict_from_url( - args.resume, map_location='cpu', check_hash=True) - else: - checkpoint = torch.load(args.resume, map_location='cpu') - if 'model' in checkpoint: - model_without_ddp.load_state_dict(checkpoint['model']) - else: - model_without_ddp.load_state_dict(checkpoint) - - if not args.eval and 'optimizer' in checkpoint and 'lr_scheduler' in checkpoint and 'epoch' in checkpoint: - optimizer.load_state_dict(checkpoint['optimizer']) - lr_scheduler.load_state_dict(checkpoint['lr_scheduler']) - args.start_epoch = checkpoint['epoch'] + 1 - if 'scaler' in checkpoint: - loss_scaler.load_state_dict(checkpoint['scaler']) - - if args.eval: - test_stats = evaluate(data_loader_val, model, device) - print(f"Accuracy of the network on the {len(dataset_val)} test images: {test_stats['acc1']:.1f}%") - return - - if args.throughout: - from logger import create_logger - logger = create_logger(output_dir=output_dir, dist_rank=utils.get_rank(), name=args.model) - throughput(data_loader_val, model, logger) - return - - print(f"Start training for {args.epochs} epochs") - start_time = time.time() - max_accuracy = 0.0 - - for epoch in range(args.start_epoch, args.epochs): - if args.distributed: - data_loader_train.sampler.set_epoch(epoch) - - train_stats = train_one_epoch( - model, criterion, data_loader_train, - optimizer, device, epoch, loss_scaler, - args.clip_grad, model_ema, mixup_fn, - set_training_mode=args.finetune == '' # keep in eval mode during finetuning - ) - - lr_scheduler.step(epoch) - if args.output_dir: - checkpoint_paths = [output_dir / 'checkpoint.pth'] - for checkpoint_path in checkpoint_paths: - utils.save_on_master({ - 'model': model_without_ddp.state_dict(), - 'optimizer': optimizer.state_dict(), - 'lr_scheduler': lr_scheduler.state_dict(), - 'epoch': epoch, - 'scaler': loss_scaler.state_dict(), - 'args': args, - }, checkpoint_path) - - test_stats = evaluate(data_loader_val, model, device) - print(f"Accuracy of the network on the {len(dataset_val)} test images: {test_stats['acc1']:.1f}%") - if test_stats["acc1"] > max_accuracy: - if args.output_dir: - checkpoint_paths = [output_dir / 'checkpoint_best.pth'] - for checkpoint_path in checkpoint_paths: - utils.save_on_master({ - 'model': model_without_ddp.state_dict(), - 'optimizer': optimizer.state_dict(), - 'lr_scheduler': lr_scheduler.state_dict(), - 'epoch': epoch, - 'args': args, - }, checkpoint_path) - max_accuracy = max(max_accuracy, test_stats["acc1"]) - print(f'Max accuracy: {max_accuracy:.2f}%') - - log_stats = {**{f'train_{k}': v for k, v in train_stats.items()}, - **{f'test_{k}': v for k, v in test_stats.items()}, - 'epoch': epoch, - 'n_parameters': n_parameters} - - if args.output_dir and utils.is_main_process(): - with (output_dir / "log.txt").open("a") as f: - f.write(json.dumps(log_stats) + "\n") - - total_time = time.time() - start_time - total_time_str = str(datetime.timedelta(seconds=int(total_time))) - print('Training time {}'.format(total_time_str)) - - -if __name__ == '__main__': - parser = argparse.ArgumentParser('Twins training and evaluation script', parents=[get_args_parser()]) - args = parser.parse_args() - if args.output_dir: - Path(args.output_dir).mkdir(parents=True, exist_ok=True) - main(args) diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py deleted file mode 100644 index 5e0d540a1..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/mcloader/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from .classification import ClassificationDataset -from .data_prefetcher import DataPrefetcher \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py deleted file mode 100644 index edf2e82f9..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/mcloader/classification.py +++ /dev/null @@ -1,31 +0,0 @@ -import torch -from torch.utils.data import Dataset -from .imagenet import ImageNet - - -class ClassificationDataset(Dataset): - """Dataset for classification. - """ - - def __init__(self, split='train', pipeline=None): - if split == 'train': - self.data_source = ImageNet(root='data/imagenet/train', - list_file='data/imagenet/meta/train.txt', - memcached=True, - mclient_path='/mnt/lustre/share/memcached_client') - else: - self.data_source = ImageNet(root='data/imagenet/val', - list_file='data/imagenet/meta/val.txt', - memcached=True, - mclient_path='/mnt/lustre/share/memcached_client') - self.pipeline = pipeline - - def __len__(self): - return self.data_source.get_length() - - def __getitem__(self, idx): - img, target = self.data_source.get_sample(idx) - if self.pipeline is not None: - img = self.pipeline(img) - - return img, target diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py deleted file mode 100644 index b57c306c9..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/mcloader/data_prefetcher.py +++ /dev/null @@ -1,28 +0,0 @@ -import torch - - -class DataPrefetcher: - def __init__(self, loader): - self.loader = iter(loader) - self.stream = torch.cuda.Stream() - self.preload() - - def preload(self): - try: - self.next_input, self.next_target = next(self.loader) - except StopIteration: - self.next_input = None - self.next_target = None - return - - with torch.cuda.stream(self.stream): - self.next_input = self.next_input.cuda(non_blocking=True) - self.next_target = self.next_target.cuda(non_blocking=True) - - def next(self): - torch.cuda.current_stream().wait_stream(self.stream) - input = self.next_input - target = self.next_target - if input is not None: - self.preload() - return input, target diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py deleted file mode 100644 index 8156e0d94..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/mcloader/image_list.py +++ /dev/null @@ -1,44 +0,0 @@ -import os -from PIL import Image - -from .mcloader import McLoader - - -class ImageList(object): - - def __init__(self, root, list_file, memcached=False, mclient_path=None): - with open(list_file, 'r') as f: - lines = f.readlines() - self.has_labels = len(lines[0].split()) == 2 - if self.has_labels: - self.fns, self.labels = zip(*[l.strip().split() for l in lines]) - self.labels = [int(l) for l in self.labels] - else: - self.fns = [l.strip() for l in lines] - self.fns = [os.path.join(root, fn) for fn in self.fns] - self.memcached = memcached - self.mclient_path = mclient_path - self.initialized = False - - def _init_memcached(self): - if not self.initialized: - assert self.mclient_path is not None - self.mc_loader = McLoader(self.mclient_path) - self.initialized = True - - def get_length(self): - return len(self.fns) - - def get_sample(self, idx): - if self.memcached: - self._init_memcached() - if self.memcached: - img = self.mc_loader(self.fns[idx]) - else: - img = Image.open(self.fns[idx]) - img = img.convert('RGB') - if self.has_labels: - target = self.labels[idx] - return img, target - else: - return img diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py deleted file mode 100644 index 62b3bb65b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/mcloader/imagenet.py +++ /dev/null @@ -1,8 +0,0 @@ -from .image_list import ImageList - - -class ImageNet(ImageList): - - def __init__(self, root, list_file, memcached, mclient_path): - super(ImageNet, self).__init__( - root, list_file, memcached, mclient_path) diff --git a/PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py b/PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py deleted file mode 100644 index 23fc59339..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/mcloader/mcloader.py +++ /dev/null @@ -1,36 +0,0 @@ -import io -from PIL import Image -try: - import mc -except ImportError as E: - pass - - -def pil_loader(img_str): - buff = io.BytesIO(img_str) - return Image.open(buff) - - -class McLoader(object): - - def __init__(self, mclient_path): - assert mclient_path is not None, \ - "Please specify 'data_mclient_path' in the config." - self.mclient_path = mclient_path - server_list_config_file = "{}/server_list.conf".format( - self.mclient_path) - client_config_file = "{}/client.conf".format(self.mclient_path) - self.mclient = mc.MemcachedClient.GetInstance(server_list_config_file, - client_config_file) - - def __call__(self, fn): - try: - img_value = mc.pyvector() - self.mclient.Get(fn, img_value) - img_value_str = mc.ConvertBuffer(img_value) - img = pil_loader(img_value_str) - except: - print('Read image failed ({})'.format(fn)) - return None - else: - return img \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/requirements.txt b/PyTorch/build-in/Classification/Twins/Twins/requirements.txt deleted file mode 100644 index 56d010d8b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/requirements.txt +++ /dev/null @@ -1,4 +0,0 @@ -torch==1.7.0 -torchvision==0.8.1 -timm==0.3.2 -termcolor \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/samplers.py b/PyTorch/build-in/Classification/Twins/Twins/samplers.py deleted file mode 100644 index 188728fe1..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/samplers.py +++ /dev/null @@ -1,60 +0,0 @@ -# Borrow from PVT and DeiT -# Copyright (c) 2015-present, Facebook, Inc. -# All rights reserved. -import torch -import torch.distributed as dist -import math - - -class RASampler(torch.utils.data.Sampler): - """Sampler that restricts data loading to a subset of the dataset for distributed, - with repeated augmentation. - It ensures that different each augmented version of a sample will be visible to a - different process (GPU) - Heavily based on torch.utils.data.DistributedSampler - """ - - def __init__(self, dataset, num_replicas=None, rank=None, shuffle=True): - if num_replicas is None: - if not dist.is_available(): - raise RuntimeError("Requires distributed package to be available") - num_replicas = dist.get_world_size() - if rank is None: - if not dist.is_available(): - raise RuntimeError("Requires distributed package to be available") - rank = dist.get_rank() - self.dataset = dataset - self.num_replicas = num_replicas - self.rank = rank - self.epoch = 0 - self.num_samples = int(math.ceil(len(self.dataset) * 3.0 / self.num_replicas)) - self.total_size = self.num_samples * self.num_replicas - # self.num_selected_samples = int(math.ceil(len(self.dataset) / self.num_replicas)) - self.num_selected_samples = int(math.floor(len(self.dataset) // 256 * 256 / self.num_replicas)) - self.shuffle = shuffle - - def __iter__(self): - # deterministically shuffle based on epoch - g = torch.Generator() - g.manual_seed(self.epoch) - if self.shuffle: - indices = torch.randperm(len(self.dataset), generator=g).tolist() - else: - indices = list(range(len(self.dataset))) - - # add extra samples to make it evenly divisible - indices = [ele for ele in indices for i in range(3)] - indices += indices[:(self.total_size - len(indices))] - assert len(indices) == self.total_size - - # subsample - indices = indices[self.rank:self.total_size:self.num_replicas] - assert len(indices) == self.num_samples - - return iter(indices[:self.num_selected_samples]) - - def __len__(self): - return self.num_selected_samples - - def set_epoch(self, epoch): - self.epoch = epoch diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py deleted file mode 100644 index 3bcd3d7cf..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/ade20k.py +++ /dev/null @@ -1,54 +0,0 @@ -# dataset settings -dataset_type = 'ADE20KDataset' -data_root = 'data/ade/ADEChallengeData2016' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -crop_size = (512, 512) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations', reduce_zero_label=True), - dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), - dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), - dict(type='RandomFlip', prob=0.5), - dict(type='PhotoMetricDistortion'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_semantic_seg']), -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=(2048, 512), - #img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75], - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']), - ]) -] -data = dict( - samples_per_gpu=4, - workers_per_gpu=4, - train=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/training', - ann_dir='annotations/training', - pipeline=train_pipeline), - val=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py deleted file mode 100644 index 298594ea9..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/chase_db1.py +++ /dev/null @@ -1,59 +0,0 @@ -# dataset settings -dataset_type = 'ChaseDB1Dataset' -data_root = 'data/CHASE_DB1' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -img_scale = (960, 999) -crop_size = (128, 128) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations'), - dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), - dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), - dict(type='RandomFlip', prob=0.5), - dict(type='PhotoMetricDistortion'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_semantic_seg']) -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=img_scale, - # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']) - ]) -] - -data = dict( - samples_per_gpu=4, - workers_per_gpu=4, - train=dict( - type='RepeatDataset', - times=40000, - dataset=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/training', - ann_dir='annotations/training', - pipeline=train_pipeline)), - val=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py deleted file mode 100644 index 06e8ff606..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/drive.py +++ /dev/null @@ -1,59 +0,0 @@ -# dataset settings -dataset_type = 'DRIVEDataset' -data_root = 'data/DRIVE' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -img_scale = (584, 565) -crop_size = (64, 64) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations'), - dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), - dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), - dict(type='RandomFlip', prob=0.5), - dict(type='PhotoMetricDistortion'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_semantic_seg']) -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=img_scale, - # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']) - ]) -] - -data = dict( - samples_per_gpu=4, - workers_per_gpu=4, - train=dict( - type='RepeatDataset', - times=40000, - dataset=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/training', - ann_dir='annotations/training', - pipeline=train_pipeline)), - val=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py deleted file mode 100644 index 242d790eb..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/hrf.py +++ /dev/null @@ -1,59 +0,0 @@ -# dataset settings -dataset_type = 'HRFDataset' -data_root = 'data/HRF' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -img_scale = (2336, 3504) -crop_size = (256, 256) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations'), - dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), - dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), - dict(type='RandomFlip', prob=0.5), - dict(type='PhotoMetricDistortion'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_semantic_seg']) -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=img_scale, - # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']) - ]) -] - -data = dict( - samples_per_gpu=4, - workers_per_gpu=4, - train=dict( - type='RepeatDataset', - times=40000, - dataset=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/training', - ann_dir='annotations/training', - pipeline=train_pipeline)), - val=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py deleted file mode 100644 index ff65bad1b..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_context.py +++ /dev/null @@ -1,60 +0,0 @@ -# dataset settings -dataset_type = 'PascalContextDataset' -data_root = 'data/VOCdevkit/VOC2010/' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) - -img_scale = (520, 520) -crop_size = (480, 480) - -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations'), - dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), - dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), - dict(type='RandomFlip', prob=0.5), - dict(type='PhotoMetricDistortion'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_semantic_seg']), -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=img_scale, - # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75], - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']), - ]) -] -data = dict( - samples_per_gpu=4, - workers_per_gpu=4, - train=dict( - type=dataset_type, - data_root=data_root, - img_dir='JPEGImages', - ann_dir='SegmentationClassContext', - split='ImageSets/SegmentationContext/train.txt', - pipeline=train_pipeline), - val=dict( - type=dataset_type, - data_root=data_root, - img_dir='JPEGImages', - ann_dir='SegmentationClassContext', - split='ImageSets/SegmentationContext/val.txt', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - data_root=data_root, - img_dir='JPEGImages', - ann_dir='SegmentationClassContext', - split='ImageSets/SegmentationContext/val.txt', - pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py deleted file mode 100644 index ba1d42d0c..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12.py +++ /dev/null @@ -1,57 +0,0 @@ -# dataset settings -dataset_type = 'PascalVOCDataset' -data_root = 'data/VOCdevkit/VOC2012' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -crop_size = (512, 512) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations'), - dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), - dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), - dict(type='RandomFlip', prob=0.5), - dict(type='PhotoMetricDistortion'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_semantic_seg']), -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=(2048, 512), - # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75], - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']), - ]) -] -data = dict( - samples_per_gpu=4, - workers_per_gpu=4, - train=dict( - type=dataset_type, - data_root=data_root, - img_dir='JPEGImages', - ann_dir='SegmentationClass', - split='ImageSets/Segmentation/train.txt', - pipeline=train_pipeline), - val=dict( - type=dataset_type, - data_root=data_root, - img_dir='JPEGImages', - ann_dir='SegmentationClass', - split='ImageSets/Segmentation/val.txt', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - data_root=data_root, - img_dir='JPEGImages', - ann_dir='SegmentationClass', - split='ImageSets/Segmentation/val.txt', - pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py deleted file mode 100644 index 3f23b6717..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/pascal_voc12_aug.py +++ /dev/null @@ -1,9 +0,0 @@ -_base_ = './pascal_voc12.py' -# dataset settings -data = dict( - train=dict( - ann_dir=['SegmentationClass', 'SegmentationClassAug'], - split=[ - 'ImageSets/Segmentation/train.txt', - 'ImageSets/Segmentation/aug.txt' - ])) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py deleted file mode 100644 index 3f71b2548..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/datasets/stare.py +++ /dev/null @@ -1,59 +0,0 @@ -# dataset settings -dataset_type = 'STAREDataset' -data_root = 'data/STARE' -img_norm_cfg = dict( - mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) -img_scale = (605, 700) -crop_size = (128, 128) -train_pipeline = [ - dict(type='LoadImageFromFile'), - dict(type='LoadAnnotations'), - dict(type='Resize', img_scale=img_scale, ratio_range=(0.5, 2.0)), - dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), - dict(type='RandomFlip', prob=0.5), - dict(type='PhotoMetricDistortion'), - dict(type='Normalize', **img_norm_cfg), - dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), - dict(type='DefaultFormatBundle'), - dict(type='Collect', keys=['img', 'gt_semantic_seg']) -] -test_pipeline = [ - dict(type='LoadImageFromFile'), - dict( - type='MultiScaleFlipAug', - img_scale=img_scale, - # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75, 2.0], - flip=False, - transforms=[ - dict(type='Resize', keep_ratio=True), - dict(type='RandomFlip'), - dict(type='Normalize', **img_norm_cfg), - dict(type='ImageToTensor', keys=['img']), - dict(type='Collect', keys=['img']) - ]) -] - -data = dict( - samples_per_gpu=4, - workers_per_gpu=4, - train=dict( - type='RepeatDataset', - times=40000, - dataset=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/training', - ann_dir='annotations/training', - pipeline=train_pipeline)), - val=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline), - test=dict( - type=dataset_type, - data_root=data_root, - img_dir='images/validation', - ann_dir='annotations/validation', - pipeline=test_pipeline)) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py deleted file mode 100644 index 7029ce880..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/default_runtime.py +++ /dev/null @@ -1,16 +0,0 @@ -# yapf:disable -log_config = dict( - interval=50, - hooks=[ - dict(type='TextLoggerHook', by_epoch=False), - # dict(type='TensorboardLoggerHook') - ]) -# yapf:enable -dist_params = dict(backend='nccl') -log_level = 'INFO' -load_from = None -resume_from = None -workflow = [('train', 1)] -cudnn_benchmark = True -find_unused_parameters = True - diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py deleted file mode 100644 index adea29aba..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_160k.py +++ /dev/null @@ -1,9 +0,0 @@ -# optimizer -optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) -optimizer_config = dict() -# learning policy -lr_config = dict(policy='poly', power=0.9, min_lr=1e-5, by_epoch=False) -# runtime settings -runner = dict(type='IterBasedRunner', max_iters=160000) -checkpoint_config = dict(by_epoch=False, interval=16000) -evaluation = dict(interval=16000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py deleted file mode 100644 index 25567b7fe..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_20k.py +++ /dev/null @@ -1,9 +0,0 @@ -# optimizer -optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) -optimizer_config = dict() -# learning policy -lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) -# runtime settings -runner = dict(type='IterBasedRunner', max_iters=20000) -checkpoint_config = dict(by_epoch=False, interval=2000) -evaluation = dict(interval=2000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py deleted file mode 100644 index adc6f9406..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_40k.py +++ /dev/null @@ -1,9 +0,0 @@ -# optimizer -optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) -optimizer_config = dict() -# learning policy -lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) -# runtime settings -runner = dict(type='IterBasedRunner', max_iters=40000) -checkpoint_config = dict(by_epoch=False, interval=4000) -evaluation = dict(interval=4000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py deleted file mode 100644 index 60ed6c5d3..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/_base_/schedules/schedule_80k.py +++ /dev/null @@ -1,9 +0,0 @@ -# optimizer -optimizer = dict(type='SGD', lr=0.01, weight_decay=0.0005) -optimizer_config = dict() -# learning policy -lr_config = dict(policy='poly', power=0.9, min_lr=1e-6, by_epoch=False) -# runtime settings -runner = dict(type='IterBasedRunner', max_iters=80000) -checkpoint_config = dict(by_epoch=False, interval=8000) -evaluation = dict(interval=8000, metric='mIoU') diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py deleted file mode 100644 index 9db91213c..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_b_512x512_80k_ade20k.py +++ /dev/null @@ -1,23 +0,0 @@ -_base_ = [ - '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' -] - -model = dict( - type='EncoderDecoder', - pretrained='pretrained/alt_gvt_base.pth', - backbone=dict( - type='alt_gvt_base', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[96, 192, 384, 768], - out_channels=256, - num_outs=4), - decode_head=dict(num_classes=150), - ) - -optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) -data = dict( - samples_per_gpu=4) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py deleted file mode 100644 index 65b69939d..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_l_512x512_80k_ade20k.py +++ /dev/null @@ -1,21 +0,0 @@ -_base_ = [ - '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' -] - -model = dict( - type='EncoderDecoder', - pretrained='pretrained/alt_gvt_large.pth', - backbone=dict( - type='alt_gvt_large', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[128, 256, 512, 1024], - out_channels=256, - num_outs=4), - decode_head=dict(num_classes=150), - ) - -optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py deleted file mode 100644 index 84848adbb..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_alt_gvt_s_512x512_80k_ade20k.py +++ /dev/null @@ -1,21 +0,0 @@ -_base_ = [ - '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' -] - -model = dict( - type='EncoderDecoder', - pretrained='pretrained/alt_gvt_small.pth', - backbone=dict( - type='alt_gvt_small', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 256, 512], - out_channels=256, - num_outs=4), - decode_head=dict(num_classes=150), - ) - -optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py deleted file mode 100644 index 707410892..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_b_512x512_80k_ade20k.py +++ /dev/null @@ -1,23 +0,0 @@ -_base_ = [ - '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' -] - -model = dict( - type='EncoderDecoder', - pretrained='pretrained/pcpvt_base.pth', - backbone=dict( - type='pcpvt_base_v0', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 320, 512], - out_channels=256, - num_outs=4), - decode_head=dict(num_classes=150), - ) - -optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) - -data = dict(samples_per_gpu=4) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py deleted file mode 100644 index 833655a94..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_l_512x512_80k_ade20k.py +++ /dev/null @@ -1,21 +0,0 @@ -_base_ = [ - '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' -] - -model = dict( - type='EncoderDecoder', - pretrained='pretrained/pcpvt_large.pth', - backbone=dict( - type='pcpvt_large', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 320, 512], - out_channels=256, - num_outs=4), - decode_head=dict(num_classes=150), - ) - -optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py deleted file mode 100644 index b401de0ea..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/fpn_pcpvt_s_512x512_80k_ade20k.py +++ /dev/null @@ -1,21 +0,0 @@ -_base_ = [ - '_base_/models/fpn_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_80k.py' -] - -model = dict( - type='EncoderDecoder', - pretrained='pretrained/pcpvt_small.pth', - backbone=dict( - type='pcpvt_small_v0', - style='pytorch'), - neck=dict( - type='FPN', - in_channels=[64, 128, 320, 512], - out_channels=256, - num_outs=4), - decode_head=dict(num_classes=150), - ) - -optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.0001) -optimizer_config = dict(grad_clip=None) diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py deleted file mode 100644 index e6633692c..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_b_512x512_160k_ade20k_swin_setting.py +++ /dev/null @@ -1,28 +0,0 @@ -_base_ = [ - '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' -] -model = dict( - type='EncoderDecoder', - pretrained='pretrained/alt_gvt_base.pth', - backbone=dict( - type='alt_gvt_base', - style='pytorch'), - decode_head=dict(num_classes=150, in_channels=[96, 192, 384, 768]), - auxiliary_head=dict(num_classes=150, in_channels=384) -) - - -optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) - -lr_config = dict(_delete_=True, policy='poly', - warmup='linear', - warmup_iters=1500, - warmup_ratio=1e-6, - power=1.0, min_lr=0.0, by_epoch=False) - -# By default, models are trained on 8 GPUs with 2 images per GPU -data = dict(samples_per_gpu=2) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py deleted file mode 100644 index 2757e3e0d..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_l_512x512_160k_ade20k_swin_setting.py +++ /dev/null @@ -1,28 +0,0 @@ -_base_ = [ - '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' -] -model = dict( - type='EncoderDecoder', - pretrained='pretrained/alt_gvt_large.pth', - backbone=dict( - type='alt_gvt_large', - style='pytorch'), - decode_head=dict(num_classes=150, in_channels=[128, 256, 512, 1024]), - auxiliary_head=dict(num_classes=150, in_channels=512) -) - - -optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) - -lr_config = dict(_delete_=True, policy='poly', - warmup='linear', - warmup_iters=1500, - warmup_ratio=1e-6, - power=1.0, min_lr=0.0, by_epoch=False) - -# By default, models are trained on 8 GPUs with 2 images per GPU -data = dict(samples_per_gpu=2) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py deleted file mode 100644 index 37b18926c..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_alt_gvt_s_512x512_160k_ade20k_swin_setting.py +++ /dev/null @@ -1,27 +0,0 @@ -_base_ = [ - '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' -] -model = dict( - type='EncoderDecoder', - pretrained='pretrained/alt_gvt_small.pth', - backbone=dict( - type='alt_gvt_small', - style='pytorch'), - decode_head=dict(num_classes=150, in_channels=[64, 128, 256, 512]), - auxiliary_head=dict(num_classes=150, in_channels=256) -) - - -optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) - -lr_config = dict(_delete_=True, policy='poly', - warmup='linear', - warmup_iters=1500, - warmup_ratio=1e-6, - power=1.0, min_lr=0.0, by_epoch=False) - -# By default, models are trained on 8 GPUs with 2 images per GPU -data = dict(samples_per_gpu=2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py deleted file mode 100644 index a91192040..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_b_512x512_160k_ade20k_swin_setting.py +++ /dev/null @@ -1,26 +0,0 @@ -_base_ = [ - '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' -] -model = dict( - type='EncoderDecoder', - pretrained='pretrained/pcpvt_base.pth', - backbone=dict( - type='pcpvt_base_v0', - drop_path_rate=0.3, - style='pytorch'), - decode_head=dict(num_classes=150, in_channels=[64, 128, 320, 512]), - auxiliary_head=dict(num_classes=150, in_channels=320) -) - -optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) - -lr_config = dict(_delete_=True, policy='poly', - warmup='linear', - warmup_iters=1500, - warmup_ratio=1e-6, - power=1.0, min_lr=0.0, by_epoch=False) - -data = dict(samples_per_gpu=2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py deleted file mode 100644 index 10d536df8..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_l_512x512_160k_ade20k_swin_setting.py +++ /dev/null @@ -1,26 +0,0 @@ -_base_ = [ - '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' -] -model = dict( - type='EncoderDecoder', - pretrained='pretrained/pcpvt_large.pth', - backbone=dict( - type='pcpvt_large', - drop_path_rate=0.3, - style='pytorch'), - decode_head=dict(num_classes=150, in_channels=[64, 128, 320, 512]), - auxiliary_head=dict(num_classes=150, in_channels=320) -) - -optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) - -lr_config = dict(_delete_=True, policy='poly', - warmup='linear', - warmup_iters=1500, - warmup_ratio=1e-6, - power=1.0, min_lr=0.0, by_epoch=False) - -data = dict(samples_per_gpu=2) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py deleted file mode 100644 index c0de890bf..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/configs/upernet_pcpvt_s_512x512_160k_ade20k_swin_setting.py +++ /dev/null @@ -1,23 +0,0 @@ -_base_ = [ - '_base_/models/upernet_r50.py', '_base_/datasets/ade20k.py', - '_base_/default_runtime.py', '_base_/schedules/schedule_160k.py' -] -model = dict( - type='EncoderDecoder', - pretrained='pretrained/pcpvt_small.pth', - backbone=dict( - type='pcpvt_small_v0', - style='pytorch'), - decode_head=dict(num_classes=150, in_channels=[64, 128, 320, 512]), - auxiliary_head=dict(num_classes=150, in_channels=320) -) - -optimizer = dict(_delete_=True, type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01, - paramwise_cfg=dict(custom_keys={'pos_block': dict(decay_mult=0.), - 'norm': dict(decay_mult=0.)})) - -lr_config = dict(_delete_=True, policy='poly', - warmup='linear', - warmup_iters=1500, - warmup_ratio=1e-6, - power=1.0, min_lr=0.0, by_epoch=False) \ No newline at end of file diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh b/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh deleted file mode 100644 index 34fb46541..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_test.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/usr/bin/env bash - -CONFIG=$1 -CHECKPOINT=$2 -GPUS=$3 -PORT=${PORT:-29500} -PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ -python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ - $(dirname "$0")/test.py $CONFIG $CHECKPOINT --launcher pytorch ${@:4} diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh b/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh deleted file mode 100644 index 5b43fffbf..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/dist_train.sh +++ /dev/null @@ -1,9 +0,0 @@ -#!/usr/bin/env bash - -CONFIG=$1 -GPUS=$2 -PORT=${PORT:-29500} - -PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \ -python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \ - $(dirname "$0")/train.py $CONFIG --launcher pytorch ${@:3} diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py deleted file mode 100644 index 0f07a0d84..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/gvt.py +++ /dev/null @@ -1,599 +0,0 @@ -import torch -import torch.nn as nn -import torch.nn.functional as F -from functools import partial - -from timm.models.layers import DropPath, to_2tuple, trunc_normal_ -from timm.models.registry import register_model -from timm.models.vision_transformer import _cfg -from mmseg.models.builder import BACKBONES -from mmseg.utils import get_root_logger -from mmcv.runner import load_checkpoint -from timm.models.vision_transformer import Block as TimmBlock -from timm.models.vision_transformer import Attention as TimmAttention - - -class Mlp(nn.Module): - def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.): - super().__init__() - out_features = out_features or in_features - hidden_features = hidden_features or in_features - self.fc1 = nn.Linear(in_features, hidden_features) - self.act = act_layer() - self.fc2 = nn.Linear(hidden_features, out_features) - self.drop = nn.Dropout(drop) - - def forward(self, x): - x = self.fc1(x) - x = self.act(x) - x = self.drop(x) - x = self.fc2(x) - x = self.drop(x) - return x - - -class GroupAttention(nn.Module): - def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., ws=1, sr_ratio=1.0): - """ - ws 1 for stand attention - """ - super(GroupAttention, self).__init__() - assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." - - self.dim = dim - self.num_heads = num_heads - head_dim = dim // num_heads - self.scale = qk_scale or head_dim ** -0.5 - - # self.q = nn.Linear(dim, dim, bias=qkv_bias) - # self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) - self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) - self.attn_drop = nn.Dropout(attn_drop) - self.proj = nn.Linear(dim, dim) - self.proj_drop = nn.Dropout(proj_drop) - self.ws = ws - - def forward(self, x, H, W): - """ - There are two implementations for this function, zero padding or mask. We don't observe obvious difference for - both. You can choose any one, we recommend forward_padding because it's neat. However, - the masking implementation is more reasonable and accurate. - Args: - x: - H: - W: - - Returns: - - """ - return self.forward_mask(x, H, W) - - def forward_mask(self, x, H, W): - B, N, C = x.shape - x = x.view(B, H, W, C) - pad_l = pad_t = 0 - pad_r = (self.ws - W % self.ws) % self.ws - pad_b = (self.ws - H % self.ws) % self.ws - x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b)) - _, Hp, Wp, _ = x.shape - _h, _w = Hp // self.ws, Wp // self.ws - mask = torch.zeros((1, Hp, Wp), device=x.device) - mask[:, -pad_b:, :].fill_(1) - mask[:, :, -pad_r:].fill_(1) - - x = x.reshape(B, _h, self.ws, _w, self.ws, C).transpose(2, 3) # B, _h, _w, ws, ws, C - mask = mask.reshape(1, _h, self.ws, _w, self.ws).transpose(2, 3).reshape(1, _h*_w, self.ws*self.ws) - attn_mask = mask.unsqueeze(2) - mask.unsqueeze(3) # 1, _h*_w, ws*ws, ws*ws - attn_mask = attn_mask.masked_fill(attn_mask != 0, float(-1000.0)).masked_fill(attn_mask == 0, float(0.0)) - qkv = self.qkv(x).reshape(B, _h * _w, self.ws * self.ws, 3, self.num_heads, - C // self.num_heads).permute(3, 0, 1, 4, 2, 5) # n_h, B, _w*_h, nhead, ws*ws, dim - q, k, v = qkv[0], qkv[1], qkv[2] # B, _h*_w, n_head, ws*ws, dim_head - attn = (q @ k.transpose(-2, -1)) * self.scale # B, _h*_w, n_head, ws*ws, ws*ws - attn = attn + attn_mask.unsqueeze(2) - attn = attn.softmax(dim=-1) - attn = self.attn_drop(attn) # attn @v -> B, _h*_w, n_head, ws*ws, dim_head - attn = (attn @ v).transpose(2, 3).reshape(B, _h, _w, self.ws, self.ws, C) - x = attn.transpose(2, 3).reshape(B, _h * self.ws, _w * self.ws, C) - if pad_r > 0 or pad_b > 0: - x = x[:, :H, :W, :].contiguous() - x = x.reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - return x - - def forward_padding(self, x, H, W): - B, N, C = x.shape - x = x.view(B, H, W, C) - pad_l = pad_t = 0 - pad_r = (self.ws - W % self.ws) % self.ws - pad_b = (self.ws - H % self.ws) % self.ws - x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b)) - _, Hp, Wp, _ = x.shape - _h, _w = Hp // self.ws, Wp // self.ws - x = x.reshape(B, _h, self.ws, _w, self.ws, C).transpose(2, 3) - qkv = self.qkv(x).reshape(B, _h * _w, self.ws * self.ws, 3, self.num_heads, - C // self.num_heads).permute(3, 0, 1, 4, 2, 5) - q, k, v = qkv[0], qkv[1], qkv[2] - attn = (q @ k.transpose(-2, -1)) * self.scale - attn = attn.softmax(dim=-1) - attn = self.attn_drop(attn) - attn = (attn @ v).transpose(2, 3).reshape(B, _h, _w, self.ws, self.ws, C) - x = attn.transpose(2, 3).reshape(B, _h * self.ws, _w * self.ws, C) - if pad_r > 0 or pad_b > 0: - x = x[:, :H, :W, :].contiguous() - x = x.reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - return x - - -class Attention(nn.Module): - def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1): - super().__init__() - assert dim % num_heads == 0, f"dim {dim} should be divided by num_heads {num_heads}." - - self.dim = dim - self.num_heads = num_heads - head_dim = dim // num_heads - self.scale = qk_scale or head_dim ** -0.5 - - self.q = nn.Linear(dim, dim, bias=qkv_bias) - self.kv = nn.Linear(dim, dim * 2, bias=qkv_bias) - self.attn_drop = nn.Dropout(attn_drop) - self.proj = nn.Linear(dim, dim) - self.proj_drop = nn.Dropout(proj_drop) - - self.sr_ratio = sr_ratio - if sr_ratio > 1: - self.sr = nn.Conv2d(dim, dim, kernel_size=sr_ratio, stride=sr_ratio) - self.norm = nn.LayerNorm(dim) - - def forward(self, x, H, W): - B, N, C = x.shape - q = self.q(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) - - if self.sr_ratio > 1: - x_ = x.permute(0, 2, 1).reshape(B, C, H, W) - x_ = self.sr(x_).reshape(B, C, -1).permute(0, 2, 1) - x_ = self.norm(x_) - kv = self.kv(x_).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) - else: - kv = self.kv(x).reshape(B, -1, 2, self.num_heads, C // self.num_heads).permute(2, 0, 3, 1, 4) - k, v = kv[0], kv[1] - - attn = (q @ k.transpose(-2, -1)) * self.scale - attn = attn.softmax(dim=-1) - attn = self.attn_drop(attn) - - x = (attn @ v).transpose(1, 2).reshape(B, N, C) - x = self.proj(x) - x = self.proj_drop(x) - - return x - - -class Block(nn.Module): - - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): - super().__init__() - self.norm1 = norm_layer(dim) - self.attn = Attention( - dim, - num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, - attn_drop=attn_drop, proj_drop=drop, sr_ratio=sr_ratio) - # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here - self.drop_path = DropPath(drop_path) if drop_path > 0. else nn.Identity() - self.norm2 = norm_layer(dim) - mlp_hidden_dim = int(dim * mlp_ratio) - self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop) - - def forward(self, x, H, W): - x = x + self.drop_path(self.attn(self.norm1(x), H, W)) - x = x + self.drop_path(self.mlp(self.norm2(x))) - - return x - - -class SBlock(TimmBlock): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1): - super(SBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, - drop_path, act_layer, norm_layer) - - def forward(self, x, H, W): - return super(SBlock, self).forward(x) - - -class GroupBlock(TimmBlock): - def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., - drop_path=0., act_layer=nn.GELU, norm_layer=nn.LayerNorm, sr_ratio=1, ws=1): - super(GroupBlock, self).__init__(dim, num_heads, mlp_ratio, qkv_bias, qk_scale, drop, attn_drop, - drop_path, act_layer, norm_layer) - del self.attn - if ws == 1: - self.attn = Attention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, sr_ratio) - else: - self.attn = GroupAttention(dim, num_heads, qkv_bias, qk_scale, attn_drop, drop, ws) - - def forward(self, x, H, W): - x = x + self.drop_path(self.attn(self.norm1(x), H, W)) - x = x + self.drop_path(self.mlp(self.norm2(x))) - return x - - -class PatchEmbed(nn.Module): - """ Image to Patch Embedding - """ - - def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): - super().__init__() - img_size = to_2tuple(img_size) - patch_size = to_2tuple(patch_size) - - self.img_size = img_size - self.patch_size = patch_size - assert img_size[0] % patch_size[0] == 0 and img_size[1] % patch_size[1] == 0, \ - f"img_size {img_size} should be divided by patch_size {patch_size}." - self.H, self.W = img_size[0] // patch_size[0], img_size[1] // patch_size[1] - self.num_patches = self.H * self.W - self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) - self.norm = nn.LayerNorm(embed_dim) - - def forward(self, x): - B, C, H, W = x.shape - - x = self.proj(x).flatten(2).transpose(1, 2) - x = self.norm(x) - H, W = H // self.patch_size[0], W // self.patch_size[1] - - return x, (H, W) - - -class PyramidVisionTransformer(nn.Module): - def __init__(self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], - num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block): - super().__init__() - print('drop_path_rate: --- ', drop_path_rate) - self.num_classes = num_classes - self.depths = depths - - # patch_embed - self.patch_embeds = nn.ModuleList() - self.pos_embeds = nn.ParameterList() - self.pos_drops = nn.ModuleList() - self.blocks = nn.ModuleList() - - for i in range(len(depths)): - if i == 0: - self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) - else: - self.patch_embeds.append(PatchEmbed(img_size // patch_size // 2**(i-1), 2, embed_dims[i-1], embed_dims[i])) - patch_num = self.patch_embeds[-1].num_patches + 1 if i == len(embed_dims) -1 else self.patch_embeds[-1].num_patches - self.pos_embeds.append(nn.Parameter(torch.zeros(1, patch_num, embed_dims[i]))) - self.pos_drops.append(nn.Dropout(p=drop_rate)) - - # transformer encoder - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule - cur = 0 - for k in range(len(depths)): - _block = nn.ModuleList([block_cls( - dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, - sr_ratio=sr_ratios[k]) - for i in range(depths[k])]) - self.blocks.append(_block) - cur += depths[k] - - self.norm = norm_layer(embed_dims[-1]) - - # cls_token - self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dims[-1])) - - # classification head - self.head = nn.Linear(embed_dims[-1], num_classes) if num_classes > 0 else nn.Identity() - - # init weights - for pos_emb in self.pos_embeds: - trunc_normal_(pos_emb, std=.02) - self.apply(self._init_weights) - - def reset_drop_path(self, drop_path_rate): - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(self.depths))] - cur = 0 - for k in range(len(self.depths)): - for i in range(self.depths[k]): - self.blocks[k][i].drop_path.drop_prob = dpr[cur + i] - cur += self.depths[k] - - def _init_weights(self, m): - if isinstance(m, nn.Linear): - trunc_normal_(m.weight, std=.02) - if isinstance(m, nn.Linear) and m.bias is not None: - nn.init.constant_(m.bias, 0) - elif isinstance(m, nn.LayerNorm): - nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0) - - def init_weights(self, pretrained=None): - if isinstance(pretrained, str): - self.apply(self._init_weights) - logger = get_root_logger() - load_checkpoint(self, pretrained, map_location='cpu', strict=False, logger=logger) - elif pretrained is None: - self.apply(self._init_weights) - else: - raise TypeError('pretrained must be a str or None') - - @torch.jit.ignore - def no_weight_decay(self): - # return {'pos_embed', 'cls_token'} # has pos_embed may be better - return {'cls_token'} - - def get_classifier(self): - return self.head - - def reset_classifier(self, num_classes, global_pool=''): - self.num_classes = num_classes - self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() - - def forward_features(self, x): - B = x.shape[0] - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - if i == len(self.depths) - 1: - cls_tokens = self.cls_token.expand(B, -1, -1) - x = torch.cat((cls_tokens, x), dim=1) - x = x + self.pos_embeds[i] - x = self.pos_drops[i](x) - for blk in self.blocks[i]: - x = blk(x, H, W) - if i < len(self.depths) - 1: - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - - x = self.norm(x) - - return x[:, 0] - - def forward(self, x): - x = self.forward_features(x) - x = self.head(x) - - return x - - -class PosCNN(nn.Module): - def __init__(self, in_chans, embed_dim=768, s=1): - super(PosCNN, self).__init__() - self.proj = nn.Sequential(nn.Conv2d(in_chans, embed_dim, 3, s, 1, bias=True, groups=embed_dim)) - self.s = s - - def forward(self, x, H, W): - B, N, C = x.shape - feat_token = x - cnn_feat = feat_token.transpose(1, 2).view(B, C, H, W) - if self.s == 1: - x = self.proj(cnn_feat) + cnn_feat - else: - x = self.proj(cnn_feat) - x = x.flatten(2).transpose(1, 2) - return x - - def no_weight_decay(self): - return ['proj.%d.weight' % i for i in range(4)] - - -class CPVTV2(PyramidVisionTransformer): - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256, 512], - num_heads=[1, 2, 4, 8], mlp_ratios=[4, 4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], block_cls=Block, F4=False, extra_norm=False): - super(CPVTV2, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, mlp_ratios, - qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, norm_layer, depths, - sr_ratios, block_cls) - self.F4 = F4 - self.extra_norm = extra_norm - if self.extra_norm: - self.norm_list = nn.ModuleList() - for dim in embed_dims: - self.norm_list.append(norm_layer(dim)) - del self.pos_embeds - del self.cls_token - self.pos_block = nn.ModuleList( - [PosCNN(embed_dim, embed_dim) for embed_dim in embed_dims] - ) - self.apply(self._init_weights) - - def _init_weights(self, m): - import math - if isinstance(m, nn.Linear): - trunc_normal_(m.weight, std=.02) - if isinstance(m, nn.Linear) and m.bias is not None: - nn.init.constant_(m.bias, 0) - elif isinstance(m, nn.LayerNorm): - nn.init.constant_(m.bias, 0) - nn.init.constant_(m.weight, 1.0) - elif isinstance(m, nn.Conv2d): - fan_out = m.kernel_size[0] * m.kernel_size[1] * m.out_channels - fan_out //= m.groups - m.weight.data.normal_(0, math.sqrt(2.0 / fan_out)) - if m.bias is not None: - m.bias.data.zero_() - elif isinstance(m, nn.BatchNorm2d): - m.weight.data.fill_(1.0) - m.bias.data.zero_() - - def no_weight_decay(self): - return set(['cls_token'] + ['pos_block.' + n for n, p in self.pos_block.named_parameters()]) - - def forward_features(self, x): - outputs = list() - - B = x.shape[0] - - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - x = self.pos_drops[i](x) - for j, blk in enumerate(self.blocks[i]): - x = blk(x, H, W) - if j == 0: - x = self.pos_block[i](x, H, W) - if self.extra_norm: - x = self.norm_list[i](x) - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - - outputs.append(x) - - return outputs - - def forward(self, x): - x = self.forward_features(x) - - if self.F4: - x = x[3:4] - - return x - - -class PCPVT(CPVTV2): - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], - num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0., norm_layer=nn.LayerNorm, - depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=SBlock, F4=False, extra_norm=False): - super(PCPVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, - mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, - norm_layer, depths, sr_ratios, block_cls, F4, extra_norm) - - -class ALTGVT(PCPVT): - def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dims=[64, 128, 256], - num_heads=[1, 2, 4], mlp_ratios=[4, 4, 4], qkv_bias=False, qk_scale=None, drop_rate=0., - attn_drop_rate=0., drop_path_rate=0.2, norm_layer=nn.LayerNorm, - depths=[4, 4, 4], sr_ratios=[4, 2, 1], block_cls=GroupBlock, wss=[7, 7, 7], - F4=False, extra_norm=False, strides=(2, 2, 2)): - super(ALTGVT, self).__init__(img_size, patch_size, in_chans, num_classes, embed_dims, num_heads, - mlp_ratios, qkv_bias, qk_scale, drop_rate, attn_drop_rate, drop_path_rate, - norm_layer, depths, sr_ratios, block_cls, F4) - del self.blocks - self.wss = wss - self.extra_norm = extra_norm - self.strides = strides - if self.extra_norm: - self.norm_list = nn.ModuleList() - for dim in embed_dims: - self.norm_list.append(norm_layer(dim)) - # transformer encoder - dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule - cur = 0 - self.blocks = nn.ModuleList() - for k in range(len(depths)): - _block = nn.ModuleList([block_cls( - dim=embed_dims[k], num_heads=num_heads[k], mlp_ratio=mlp_ratios[k], qkv_bias=qkv_bias, qk_scale=qk_scale, - drop=drop_rate, attn_drop=attn_drop_rate, drop_path=dpr[cur + i], norm_layer=norm_layer, - sr_ratio=sr_ratios[k], ws=1 if i % 2 == 1 else wss[k]) for i in range(depths[k])]) - self.blocks.append(_block) - cur += depths[k] - - if strides != (2, 2, 2): - del self.patch_embeds - self.patch_embeds = nn.ModuleList() - s = 1 - for i in range(len(depths)): - if i == 0: - self.patch_embeds.append(PatchEmbed(img_size, patch_size, in_chans, embed_dims[i])) - else: - self.patch_embeds.append( - PatchEmbed(img_size // patch_size // s, strides[i-1], embed_dims[i - 1], embed_dims[i])) - s = s * strides[i-1] - - self.apply(self._init_weights) - - def forward_features(self, x): - outputs = list() - - B = x.shape[0] - - for i in range(len(self.depths)): - x, (H, W) = self.patch_embeds[i](x) - x = self.pos_drops[i](x) - for j, blk in enumerate(self.blocks[i]): - x = blk(x, H, W) - if j == 0: - x = self.pos_block[i](x, H, W) - if self.extra_norm: - x = self.norm_list[i](x) - x = x.reshape(B, H, W, -1).permute(0, 3, 1, 2).contiguous() - outputs.append(x) - - return outputs - - -def _conv_filter(state_dict, patch_size=16): - """ convert patch embedding weight from manual patchify + linear proj to conv""" - out_dict = {} - for k, v in state_dict.items(): - if 'patch_embed.proj.weight' in k: - v = v.reshape((v.shape[0], 3, patch_size, patch_size)) - out_dict[k] = v - - return out_dict - - -@BACKBONES.register_module() -class pcpvt_small_v0(CPVTV2): - def __init__(self, **kwargs): - super(pcpvt_small_v0, self).__init__( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], - qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 6, 3], sr_ratios=[8, 4, 2, 1], - drop_rate=0.0, drop_path_rate=0.2) - - -@BACKBONES.register_module() -class pcpvt_base_v0(CPVTV2): - def __init__(self, **kwargs): - super(pcpvt_base_v0, self).__init__( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], - qkv_bias=True, norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 4, 18, 3], sr_ratios=[8, 4, 2, 1], - drop_rate=0.0, drop_path_rate=0.2) - - -@BACKBONES.register_module() -class pcpvt_large(CPVTV2): - def __init__(self, **kwargs): - super(pcpvt_large, self).__init__( - patch_size=4, embed_dims=[64, 128, 320, 512], num_heads=[1, 2, 5, 8], mlp_ratios=[8, 8, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[3, 8, 27, 3], sr_ratios=[8, 4, 2, 1], - drop_rate=0.0, drop_path_rate=0.2) - - -@BACKBONES.register_module() -class alt_gvt_small(ALTGVT): - def __init__(self, **kwargs): - super(alt_gvt_small, self).__init__( - patch_size=4, embed_dims=[64, 128, 256, 512], num_heads=[2, 4, 8, 16], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 10, 4], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - extra_norm=True, drop_path_rate=0.2, - ) - - -@BACKBONES.register_module() -class alt_gvt_base(ALTGVT): - def __init__(self, **kwargs): - super(alt_gvt_base, self).__init__( - patch_size=4, embed_dims=[96, 192, 384, 768], num_heads=[3, 6, 12, 24], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - extra_norm=True, drop_path_rate=0.2, - ) - - -@BACKBONES.register_module() -class alt_gvt_large(ALTGVT): - def __init__(self, **kwargs): - super(alt_gvt_large, self).__init__( - patch_size=4, embed_dims=[128, 256, 512, 1024], num_heads=[4, 8, 16, 32], mlp_ratios=[4, 4, 4, 4], qkv_bias=True, - norm_layer=partial(nn.LayerNorm, eps=1e-6), depths=[2, 2, 18, 2], wss=[7, 7, 7, 7], sr_ratios=[8, 4, 2, 1], - extra_norm=True, drop_path_rate=0.3, - ) - diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py deleted file mode 100644 index 13f2fb8af..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/test.py +++ /dev/null @@ -1,154 +0,0 @@ -import argparse -import os - -import mmcv -import torch -from mmcv.parallel import MMDataParallel, MMDistributedDataParallel -from mmcv.runner import get_dist_info, init_dist, load_checkpoint -from mmcv.utils import DictAction -from mmseg.apis import multi_gpu_test, single_gpu_test -from mmseg.datasets import build_dataloader, build_dataset -from mmseg.models import build_segmentor - -import gvt - - -def parse_args(): - parser = argparse.ArgumentParser( - description='mmseg test (and eval) a model') - parser.add_argument('config', help='test config file path') - parser.add_argument('checkpoint', help='checkpoint file') - parser.add_argument( - '--aug-test', action='store_true', help='Use Flip and Multi scale aug') - parser.add_argument('--out', help='output result file in pickle format') - parser.add_argument( - '--format-only', - action='store_true', - help='Format the output results without perform evaluation. It is' - 'useful when you want to format the result to a specific format and ' - 'submit it to the test server') - parser.add_argument( - '--eval', - type=str, - nargs='+', - help='evaluation metrics, which depends on the dataset, e.g., "mIoU"' - ' for generic datasets, and "cityscapes" for Cityscapes') - parser.add_argument('--show', action='store_true', help='show results') - parser.add_argument( - '--show-dir', help='directory where painted images will be saved') - parser.add_argument( - '--gpu-collect', - action='store_true', - help='whether to use gpu to collect results.') - parser.add_argument( - '--tmpdir', - help='tmp directory used for collecting results from multiple ' - 'workers, available when gpu_collect is not specified') - parser.add_argument( - '--options', nargs='+', action=DictAction, help='custom options') - parser.add_argument( - '--eval-options', - nargs='+', - action=DictAction, - help='custom options for evaluation') - parser.add_argument( - '--launcher', - choices=['none', 'pytorch', 'slurm', 'mpi'], - default='none', - help='job launcher') - parser.add_argument( - '--opacity', - type=float, - default=0.5, - help='Opacity of painted segmentation map. In (0, 1] range.') - parser.add_argument('--local_rank', type=int, default=0) - args = parser.parse_args() - if 'LOCAL_RANK' not in os.environ: - os.environ['LOCAL_RANK'] = str(args.local_rank) - return args - - -def main(): - args = parse_args() - - assert args.out or args.eval or args.format_only or args.show \ - or args.show_dir, \ - ('Please specify at least one operation (save/eval/format/show the ' - 'results / save the results) with the argument "--out", "--eval"' - ', "--format-only", "--show" or "--show-dir"') - - if args.eval and args.format_only: - raise ValueError('--eval and --format_only cannot be both specified') - - if args.out is not None and not args.out.endswith(('.pkl', '.pickle')): - raise ValueError('The output file must be a pkl file.') - - cfg = mmcv.Config.fromfile(args.config) - if args.options is not None: - cfg.merge_from_dict(args.options) - # set cudnn_benchmark - if cfg.get('cudnn_benchmark', False): - torch.backends.cudnn.benchmark = True - if args.aug_test: - # hard code index - cfg.data.test.pipeline[1].img_ratios = [ - 0.5, 0.75, 1.0, 1.25, 1.5, 1.75 - ] - cfg.data.test.pipeline[1].flip = True - cfg.model.pretrained = None - cfg.data.test.test_mode = True - - # init distributed env first, since logger depends on the dist info. - if args.launcher == 'none': - distributed = False - else: - distributed = True - init_dist(args.launcher, **cfg.dist_params) - - # build the dataloader - # TODO: support multiple images per gpu (only minor changes are needed) - dataset = build_dataset(cfg.data.test) - data_loader = build_dataloader( - dataset, - samples_per_gpu=1, - workers_per_gpu=cfg.data.workers_per_gpu, - dist=distributed, - shuffle=False) - - # build the model and load checkpoint - cfg.model.train_cfg = None - model = build_segmentor(cfg.model, test_cfg=cfg.get('test_cfg')) - checkpoint = load_checkpoint(model, args.checkpoint, map_location='cpu') - model.CLASSES = checkpoint['meta']['CLASSES'] - model.PALETTE = checkpoint['meta']['PALETTE'] - - efficient_test = False - if args.eval_options is not None: - efficient_test = args.eval_options.get('efficient_test', False) - - if not distributed: - model = MMDataParallel(model, device_ids=[0]) - outputs = single_gpu_test(model, data_loader, args.show, args.show_dir, - efficient_test, args.opacity) - else: - model = MMDistributedDataParallel( - model.cuda(), - device_ids=[torch.cuda.current_device()], - broadcast_buffers=False) - outputs = multi_gpu_test(model, data_loader, args.tmpdir, - args.gpu_collect, efficient_test) - - rank, _ = get_dist_info() - if rank == 0: - if args.out: - print(f'\nwriting results to {args.out}') - mmcv.dump(outputs, args.out) - kwargs = {} if args.eval_options is None else args.eval_options - if args.format_only: - dataset.format_results(outputs, **kwargs) - if args.eval: - dataset.evaluate(outputs, args.eval, **kwargs) - - -if __name__ == '__main__': - main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py b/PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py deleted file mode 100644 index 2771d1b37..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/segmentation/train.py +++ /dev/null @@ -1,163 +0,0 @@ -import argparse -import copy -import os -import os.path as osp -import time -import mmcv -import torch -from mmcv.runner import init_dist -from mmcv.utils import Config, DictAction, get_git_hash -from mmseg import __version__ -from mmseg.apis import set_random_seed, train_segmentor -from mmseg.datasets import build_dataset -from mmseg.models import build_segmentor -from mmseg.utils import collect_env, get_root_logger - -import gvt - - -def parse_args(): - parser = argparse.ArgumentParser(description='Train a segmentor') - parser.add_argument('config', help='train config file path') - parser.add_argument('--work-dir', help='the dir to save logs and models') - parser.add_argument( - '--load-from', help='the checkpoint file to load weights from') - parser.add_argument( - '--resume-from', help='the checkpoint file to resume from') - parser.add_argument( - '--no-validate', - action='store_true', - help='whether not to evaluate the checkpoint during training') - group_gpus = parser.add_mutually_exclusive_group() - group_gpus.add_argument( - '--gpus', - type=int, - help='number of gpus to use ' - '(only applicable to non-distributed training)') - group_gpus.add_argument( - '--gpu-ids', - type=int, - nargs='+', - help='ids of gpus to use ' - '(only applicable to non-distributed training)') - parser.add_argument('--seed', type=int, default=None, help='random seed') - parser.add_argument( - '--deterministic', - action='store_true', - help='whether to set deterministic options for CUDNN backend.') - parser.add_argument( - '--options', nargs='+', action=DictAction, help='custom options') - parser.add_argument( - '--launcher', - choices=['none', 'pytorch', 'slurm', 'mpi'], - default='none', - help='job launcher') - parser.add_argument('--local_rank', type=int, default=0) - args = parser.parse_args() - if 'LOCAL_RANK' not in os.environ: - os.environ['LOCAL_RANK'] = str(args.local_rank) - - return args - - -def main(): - args = parse_args() - - cfg = Config.fromfile(args.config) - if args.options is not None: - cfg.merge_from_dict(args.options) - # set cudnn_benchmark - if cfg.get('cudnn_benchmark', False): - torch.backends.cudnn.benchmark = True - - # work_dir is determined in this priority: CLI > segment in file > filename - if args.work_dir is not None: - # update configs according to CLI args if args.work_dir is not None - cfg.work_dir = args.work_dir - elif cfg.get('work_dir', None) is None: - # use config filename as default work_dir if cfg.work_dir is None - cfg.work_dir = osp.join('./work_dirs', - osp.splitext(osp.basename(args.config))[0]) - if args.load_from is not None: - cfg.load_from = args.load_from - if args.resume_from is not None: - cfg.resume_from = args.resume_from - if args.gpu_ids is not None: - cfg.gpu_ids = args.gpu_ids - else: - cfg.gpu_ids = range(1) if args.gpus is None else range(args.gpus) - - # init distributed env first, since logger depends on the dist info. - if args.launcher == 'none': - distributed = False - else: - distributed = True - init_dist(args.launcher, **cfg.dist_params) - - # create work_dir - mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) - # dump config - cfg.dump(osp.join(cfg.work_dir, osp.basename(args.config))) - # init the logger before other steps - timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) - log_file = osp.join(cfg.work_dir, f'{timestamp}.log') - logger = get_root_logger(log_file=log_file, log_level=cfg.log_level) - - # init the meta dict to record some important information such as - # environment info and seed, which will be logged - meta = dict() - # log env info - env_info_dict = collect_env() - env_info = '\n'.join([f'{k}: {v}' for k, v in env_info_dict.items()]) - dash_line = '-' * 60 + '\n' - logger.info('Environment info:\n' + dash_line + env_info + '\n' + - dash_line) - meta['env_info'] = env_info - - # log some basic info - logger.info(f'Distributed training: {distributed}') - logger.info(f'Config:\n{cfg.pretty_text}') - - # set random seeds - if args.seed is not None: - logger.info(f'Set random seed to {args.seed}, deterministic: ' - f'{args.deterministic}') - set_random_seed(args.seed, deterministic=args.deterministic) - cfg.seed = args.seed - meta['seed'] = args.seed - meta['exp_name'] = osp.basename(args.config) - - model = build_segmentor( - cfg.model, - train_cfg=cfg.get('train_cfg'), - test_cfg=cfg.get('test_cfg')) - - logger.info(model) - - datasets = [build_dataset(cfg.data.train)] - if len(cfg.workflow) == 2: - val_dataset = copy.deepcopy(cfg.data.val) - val_dataset.pipeline = cfg.data.train.pipeline - datasets.append(build_dataset(val_dataset)) - if cfg.checkpoint_config is not None: - # save mmseg version, config file content and class names in - # checkpoints as meta data - cfg.checkpoint_config.meta = dict( - mmseg_version=f'{__version__}+{get_git_hash()[:7]}', - config=cfg.pretty_text, - CLASSES=datasets[0].CLASSES, - PALETTE=datasets[0].PALETTE) - # add an attribute for visualization convenience - model.CLASSES = datasets[0].CLASSES - train_segmentor( - model, - datasets, - cfg, - distributed=distributed, - validate=(not args.no_validate), - timestamp=timestamp, - meta=meta) - - -if __name__ == '__main__': - main() diff --git a/PyTorch/build-in/Classification/Twins/Twins/twins_svt_s.png b/PyTorch/build-in/Classification/Twins/Twins/twins_svt_s.png deleted file mode 100644 index 2f92940c5841caeef6c5384d56bae165dd4222d6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 400291 zcmeFYWl$X3_6Lf)li(UOxVr{-0>Og21P!i(1a}A?+(K}73-0bRxVt;AbI!T+y>FJrh_gd>GYlkW;N}(bVAVEMtpvp*#t3W^?0q0O=2ynnV!5lKI5D+NF zmSSScGGbz6%3tlwEUir;Af!VRG~jjOr3l+yP2wt`Fk>)puuQQ0c4TZV$rV~80*h9C?2(0UyKm4Xyb&K1)IL7tKO zd%>zjC6Il_Z8uB7NC0<(8ls;=NIwJB*M)Gp8VPnGM(UBZyG$ip9LYBdvfB@eRUg6O zU3c!qWns}7R0wfaE6Rpd$U=&~z1eG|uw!!O*ceIgK?__U5#7iBi@WNVvB@X9fiYFI z`-*@_>O`sD;)`I;mIQuA*+5H-TWNM_&Fy>(yU{J}>|OC062#&|5ke@gqBw~W zEzQd6L5rJB%ORi6Kg$$HZF$jiGKBPDgVWK|)ZKx=^9RFVxbl7}8P~@*)D}A%#>i_M zpDs5is{9+ooqxDVqJeaN@R77&h(j|Wz%pcgW5kw+<`tP-otlRRPgAV>qHmEAhWLg{ zvU5is% zJ7UBa2qG8|Zb3FEajz)qeJR=$QK*s3CE76EN72IS3d!!4HsYDUljNpg-bRr0e06np zg%-J1`1q>OYJ}!PkFj&#?$mP&fgnwchsX1f#6)m1B{sIkb$Tynt`86K%mZQG{+4z- z(2BUs17oe-4{iBlZwHYkG<<_-I&ILT zGW0Y`tyo`{_4feD?9e?E4#M;(ob2%NZ421XfhVGbw}Kk5Bs zgyz8IfbYQWKw23%FX|x=|v~HfO31b!PLOPM6 zB8A*Q&(_zkjQ2eENcZm>GjrrB^Y1M#WN2*8CgRGp~knE7g7ym@@FMjHQvp%KOpV4bpr>-m&IhYvJ3-TBXj|*zYZKw1m z_MP}WSOg>WMD!KQvomwRh3!*j7SXdimdLfcUo@<^E%YaRvc)DUXV&-RC*DuKpX2@M zC{rkvl=G!|sk~mkT>bRND!X@FTe?qjn=&Z&1?^e& zAsP>_E49-U0T0aL!luaHgc1UG11Atb6u=hH3U>_G8uSp95i}6Qj!KUjjqk$7T0k7% zH*8#HKw_|J;Dcw#<k!W{&zxI=L+-gC z_Hy@tiT?mfJR^0Xf`=qQ#1-j#JT1P9j(&alkE%3NZc_^d{PN7HHz_G;63GL@T*>Kd zhpgtQ@M*ir<($H{t2Uh#2sJU9CAB<;=Y&HsJ%-zrbec9LdUC2m(sKFRE<-LuKJ=c& zl*LBH-s-m{MYGn242QL|rL(PEI9!`HJM+^EPeyW;rb}Tqb4wYO-e1h^l8ox-%O*}z zT4M#r+WOl@U&^3Y$ombO#1gtVrE(~iSmzw7H%)1#2Zm&hKJ7aV;5*;AB=Xp~oZv~| zZS%|W{j!=?z)eN&%OB4l-R`v5+1s1w$t9F($1`T9wi*7#YToPRa{YD0ab@45PXTQ6 zL%UMDdMWcn@dWBt_Vx>jQ?z~bJ&6JdvtYWQM25D2ojYqwuP5V;)%C;H@h0PK+3m?q z<@vzb!j@yaO-Gb5vvKA%)m_lt=&j(v?QnDm9|rSYZqWvq8G`fcP2@6AVF zH3(q?PZ4u6dKLu zVTA=seoG9h3*HZ=3ba9KCbfN=L9B#fBi#k{SOm@5%$Y~ueMB06 z8Dkhu0!A(CfnkkmjX;yT0H4qD9p~n0?|iScF@dot1G9_5Q7g}5!@h&CBAH@HnlkUY zOpEr@k2`k6h;K!RwTO0DVptlKt1@4uRj6yJ4=D?2<|x}05EZo2CwU!)yBo2Y^HTF< zRnjJ7>u&JW^f$?NSD4C_H^ROp@Q;4$dXAK}1;sE22m!J3qgdL$CZv{E-~6HzkZ-by#bMaCuZ z#`0=AuI}{ioQx9p%MC0gDUFWx3%{F5+L2uZ^j>BM;o0^d!O#^kT_M6U!8#yi0ds(n8}#D!q@k8 z^fxd1&et8=%;4dnA9H+QkC&W#UF3H-pP2KQhIQ{8E5Do{Y|Mf4yrx?Ettb2?qT3?x z>dM5M#r3{AR=#eO%AHZgQ60+(CfaH~G=9?bXdA9AX*t?t>#Vv2H+pNFuXJ3LY#-CN zXjp5>=)Bi;H&z?}bui;m9Ih_>ncYXB>+|g5WNrDJg05@Xa<$i?$AQQ8!)VxESOF>* zp}Or|!^f6$4^!#wHid$;L|cz$t%m!-#5Kli?UA}fo97CJs^i(4kYiLe7qxBv5Pl?A zfrXTo%i-Ij(=RS5M|4Zqmi11q=FVQu+L1~M3Z<6EVSF`;T63*5-ecRX*`8?!x(D^A z#wYYk=r{DYuQy`7=-g=H#1?}6LYkodoAH9Kh^~B8>8_HXRY?b9b5$$VzE}sT&uPzT z=&w8veJfIo(ds1Z0(Bca*LOLa&@^F+SGE10JrvC{y{7qUuSbhQ3(IO1EWQX6J3kyL ztqZ5~b@4iGSa&Ss?mmqY^NtCD-8vsXbV-zl2ZL@N?(LghJ-etfdpBgfiT=EAs6N?s9I23&$->%%JyA`LCn?&EJ~yZ=FsPz}&6+ z*TtLVk9@8C(Siux_UDGbyZEDFqBDfm1zzTB_Yj|D?p4DJImebWiI34v+n$#4z)cxL z8Mn9JpUQ3@3vkhx(Vj7%`g&GFTXmVYnc-h_ZU*mWPUbSowI4SgPTB`RQ?GSb>F3P{ zw@0_;LU~?pi^7`}`^G&qeM%#lxk6y#ep0-c^X;e3TnISA)CAa$%;t4o^0yGZrfxpT zd2N@dNI7kVXz$K4D<1TCXjdVoyA+*ucIzN2NV%F}V+h-dqYgqlA+FExYzaP^xHl9x zTAcNYxpA|c4WdA(utQ{SK|?>M!NUo4^3%Bx`X=rlG#AK*oY__=IM2b>&&lgSv|(Kf zUWF62pZL*1DV;gLGT%ytj^bu=dIPM(+Ei10 ze^kbRWZ(HgVb)C(l8hnx5wnZkdncIJmr?=~5y?n|l2+Qj?Lk9nY;<_^Ws`yb&1(5`JKA1gCC?jIAFs}>nas5ZOUsFr@_R4r1Wa_o3{OyfUk=wi@qy2?~91&O=Qm1r50cwc>- zD%N0DEmR~{ZS&$)t+&-R1y`BMIbKajrQzzit&@Jl#fkghewHr`k)Oc1%4Q?9t<3+Y ztk)4i;=Q7h2+YfSndPwJYg@Rhh$x}X^@fQqVM>uSZX@XofAv}OgCBmYp=0RtwBHAH zPx^lOwDnex^Bsd3o+k1C7IJ<@(!M0H;p<|i3I8oFFYYj0*7F96dyf7Dh&x5GWGGOP zo$c-}bHa5v--^{s*>0mrN_RJ2Tb?e43Ur%Y3M9gD3V^X_avSu zgmGLKww$D#YIe2j;^qDrCGhTlE8g>bh~F3a!h2NyUy#yKC$UzyWXoROc475v(uipO z`mC%8#-S?+bwo+{*`z=r&5Xo-3zHr6BEYK5ZuZ>dTy&S+TBKT-`d+nQo;_|fMe0V zO|mmcU(T`F7tPHL_NumIB7u&FYFQ3tOgq0K#j7Qk2(pHuQ!n}XL^y3{5QIi-<#Byr zDw`n7nZVq3XT)y!`x^(dzj1FwcD4amMa%yPY%0_+`s4kKqloO@M*9c;7e&vjBbI1Y z_kJo<(Gq|u(|~R#KAdAm-eG2;lKnnUOUb?JmfN@yM(^(_e7}V~)#m-Umdw8ovon@i zP6A~}rkVXA@CxB2MHCu7bpl<$0F`xHCx0+uIBc8V#N9&ElS-N@(3N&_q&-OF4Mv9tTRB2Qr8-B{u$XU3t%F*ldLF1rq^IAY}1zKKo=%!ion*H2 z<&siyHWVt=iq$0rA*pxt8sarq@jLH?u9o4*o@hc|k{N22&oG{;L@6#v1U z+EkDSR@x_(CA!VCPY;LXX3fWS?7+9JeuXt0{hL2CCS*U{rdD?-Pzdm zzso5ssw0j{4y6~0fWyMzmqxjs6Cyhm7A+jixIX)rSzI6%R^+z_6T(F!HDR%&G3R-> zIg1_}rT*L;3CR?jgMWPz)^O*7{)pg7V7+zxCZ71mu z4?HX3P$YU3D5moj9G}?CSXf-{3{C@C3P~(WGLis`ILMo8IGL4#lbT$B|7QO&3*X^xfhH`D_m*u%EU)+EVVD4ke~6*|o2%rL}gU@h3y0@pN46 zPxYY)9e-M>`vO)(ZDnrSdsqE+d$7OtJiz^OCnYypXz>#kbQf3iG4;?LiSfhDv2hd8 ztOP$X-Jn4r{g=S7DrQiy%RZKpWHjh$U&?XWp;ckz_)BVfUe`tlMHCA(914r)X>C%` z=h|O*C|um=!cX=at!bMkD^1SNCf?ZVErBUdaMC7OnkQACz#{7)>^-lfM1T9#r*WH!h(V=k-i=8k*W!KpyK z@?hT{HTgTEhq3zsStxna^Hx2b1pDCNNLj<#>`1H*?7o|R6#Sf~?+b6j=^sVRpK3Oe zy5Bv7M$Dh=DYg8_o#empPYM+I4)Fu$$JfF4i>}daCtNm5co9klSb|qG*N1abc59f3 z*2XYGFL%a{7XvhD57&ojis`qk%&k|GT#~*sD>w-D`|CFA@2jII&$zLD&%tY*0VCa^ z*i&DFI>YXwCqb1(Iz?6PTd}M=KXaqx!-ufb6b+8%D|eP1$58p8h+n}z+6C!>X&KO} zf0z^<)Y8oS=u^{?M(xoMHgY>;AqvYa7zA2#D9`d56}XglJZ+s^KLQzTp0Ave>Kk_B z3){93I8v-m7iFd~v9X}$3h0Qv%;ILtDJuPH7RysL59Zr(Y%EkS{d{hHwS*2W=7x;| zzl{6xl8eXWe8g!tyXliHTG-h4hMYmkq-q#<*Fem%=Rk$M>Bm~vjETuXh&fOb5ipMa5GBmDqzu{XjEp7v35 z2r7PVcQ5!>l6;wTqfl5dGnC;aS*yfTARAbGumu*pMVS-YKI1&mhGH=iKCYP>4!R~B zj=FZ4o(aWa{!D2dm;ruW{fM%p4|=|Sr#%pS#2wi&Um2akJ|;l1dkcP6cWQnAY&eix zOJhTz@`Jvt;dci)j93_i`j*GjdEZC~CWVt)@pOU!P(HAC@U$$${9wYcAwAwOC@RG} zllztWb_Agk4kOb1Fo4e(FLN^et!TgY`NI7m;lK}Gs#&x1CP71w^?0#%DxYe?4{B}> zr4c(>7}VyG%d_8&T^ef;A)H8N2&|L&CIkbsM!0+ToGEBoew336Yfq-^0VW0iN40WS z?jE04p7bP*-yF8f^F1t^y@FKc8TW?g=)dIQ z5byZGpx0J>+G@*w9w zW9#C(!-_tsZ@;QJd(FhdxH_Cug16cD=q~?H?vL_~KOSosSVVjPjg!+q-2PH4cKVRh zEZpK;)e69<@5hELgpD8|N2fU-c1w?6N8LS>9>uRnXSD!wQI;lFM^!z&1Xt;su|s-| zL2y`tSx?wDpKXIx{*NRzn@B=W#E$o!9e&U=#%tr+ zL8(9*9?cSdjgwPTo;HC>*nB#WERo??jpjrZfh>0Fc;PI#$E*@RG&e{@uIse!$ z`ryeT)Na`2;oU~aHNRPVIBVtgjl8htJ_M0PXBoce9X;cj|fEc zaOgiuQ*dEFUrdL(IK+_p3%Iy^5$pbVuq>F=mW1@R!TogQc9_y~xFg)3;M<+Q^U7zZ zRB`CUp=3HxwK>R=S}DW2?eV4A0)~VNOT^f8zQVBT+kDxMnmZax=7gb8iSWVVeW>dN zC1OlRBDHURz|cUIBf?@m^J@gD@aj?35R=*7c=jTGTxo>ZD2Wjcvz|5107}Q@s37yj zBj}}ZcjWf#s_v^yMEUK!akTPR7a!^iDf62e%c<^gF#68(Ets3s>&)*2Y~O`i^kUO^ znH@~Rwl|CzJjB#I%i{xmQQb|s?kgvi<3%tn9g$1N}{ z(PX&&cE0@b@I$6fi-rB;UpU@xL}YDN+m16iCZTF-j9nM~)T%f9>D#bW-zDdqj`0N{ z7s}SD2l1LBGs+d`)5y!$I(OWMR1_8#6KWREnaY&hA_Y6h*;f+7s77uUh&p=RG~aJs0~8C=w<=tqLw&R0)I=sJ^o>TUi$iA zX4^IQ^^m8>vM|HUC&|@k=CnNxyh0kaZ8vhjX(fWN%XV^~3&($h zJ+FVijp|=OHzZi5@hc4w0f6U7Me_+8m2Ce7k_zSRbHLZH`}s*JaHs@7aoerg-vL1F zi_5$rJoGkZroyA(4N432MoY6^wb_VtK0KO0&oWa`nB%UO@d<#grkb1&`>!YS<iqC?fnHUBit)6=vdLIw0;Z1qNQd zp%D0~@(16i}L&*0*nX;mdoO(VQrrp7HSLH*KH zr#pCZW>XW4ADd|Zu=qR#`Q)=aK@3(Dca()F8Mju?+o-`CyWP~jPj&SijH%pmR51P&clS|J*ccIz`IDcQ@ciCxh+;r`?B&VCf1)`a z&kndzsJEJt?L(*6DBEaC<784#>EwK>wVdj`N^H}T?*IXrb33iMy4NrGLl7hV0NUI0H)WJc0nJrQ)$-|BtAn>{N^&g@Qo^rl>$NX{kiX<;R15G3JNUt-Br9&fHY_Q(r84J-S_*w z+-P}ER-8Xrcm4qp1yC1St|r6H`0*a@JAIG^tG({O?q9V}WU+7k;o6!;v|psJKS)KK z#hr9A{JtFJA3LhpM3YGha1`{sxw^I409G$@SvEV-Dm13@PHq®opc_+I95ey(UM z{sXD|bp>`)lrElplXCV4SmGo5zH>%6kt4QlE>Sm;Wg|7fc$AVh26ax0XNP@19;khHGL4pJ-V zuh3nhcwdY*);?%?aK^6^v;{wE2Z^XT^k&&`y}HKkbH{#ano<&8G4Kk~NI~`Zi4<)pBhCWo)8LTIH~;|v+h7As~Mz5f!k9ipz`}U_g3j>jzY^>)B*IDa5<1swcvMRlBt+nBCRDH z8o^IEi32tHcVBi%-q6yjRXL!r=XYHKA*3DEK^{zGWj1sRCpRA1;QCGLayM1l(4fKv zsDCNkCcI63Ci^Q5t{tCD9yz%*Jz7Gb%rXL@+bWsX(sn#r&Y#QZhIUPn4!KL}Td}YV zS045*E@LRb(!nrLZLjHk&MHbF9`Dvkos2rpFw*gU?gRAtQ;r* z7#%hGvno4a@cx6>>&PJScEoy{lwE^=1K@3L-{gBINN?^|ZX7Q3OXCTX2_$ooAYcrZlq^`c}p0a00n{nLmM+cIN zmHZTiy4R=6u_lx)fX_RvEnIimhFMGLGi(WL(U?@lAFnrUzgwC>=T}QC=w|y$x8%As z@`={Olj4VY-LqZWy=2Sh70X;{c!?x2bWVWFBID(hcb^X@qLu$4jU9C#AbMq=AFr7! znrtnQi3b-vnpjg>#QM;hP`>zu+KOS4jhTS@+|?CrMEjK1p*~Xx8pPjpbHd!)7pAOU;6lfJ3W=c_~$b{a}79Y zsqDL^G^$n__52uwyj{Z$BZo_USU1IEk@gP?hr{f5H@fn7jHglJdIivVK+Qx&=hp;4 zOr7>3UuBDHvB`$E?2jRD@}hyus|vio+)cY=<^juln5q2Aemf|9tk>vrCJLXXq3_Lk zj0M*(f_VLo+UUK5n=Ub@)pxB%E7P-QF%m#r4CCENHoj_(Tb?+2BVNy_ zGf+{(g0guQtO)W_U5Di&`YlUqW|Np`ck~%-zvj3fqJ+fK@bXYxZV3A`^S7?4R+oM9 z?XiIFEZ*)}XZRmU;= z>U1|-Qy{_oIs8CSklcR#1K|Csg2OeCVZ_=vmyG*d!e_BWIo~JLD^5?@SJcBViW;6y zN4aJ@5h;E?rfJaXuk;kh2z&AxIt~&Q%W|}h{Y;DS<1-oQSJpYJxS>ZH4{HIA6Ei-c z%b#;h5T|NnR2|nPaBZu~aAbJ8AQyElUK_>@3gK*%wEy}MkXRuYKlKD#bXv{Lq=gw! zAd#q+>~I%+vM+y-%Id*5?JA~Iupw$xmTb1aTr)>DSTC?$j*FqEup0MshKrD9`nNIDJWRxgy&DGV_NGJkpoXM}G?Kyr7DD2n?XXyQTj6*cxk2&=^+Fwh6a~BhBJzYS*L;JCxclK30*aZO#n9!@litx8|_qS z{i@X;h?uUBy7d-=Tj2-K1R!`xnU`6;L%c7%_Lb>mk>e!M13f!CZiLdLlKR|{J0r@X z()m9~@8Sx0{qVXN*a5zSjY2AFc%gwUA!}ubV~J+QUR;0*uRWpfPtGNW!~=IqqYc4l z8xz9?5WXy8JVl(3H0)-0)<6rWo+GnwB9b5ily_F%%Oj^#-i@=t1uQ%Q0bdn=hVN(I zuHJm|OV17C+VVcC?fGWO4D5Z|V~Anfunu?rP_G#s`w76H0bk}*E=PX!pC6T*rG@vz zESllJm#5UbgBaq#RqM!tM&Y{lj1cC8#dcGbVsOg z7WtmXGU9YTY$HmjLi=MY2@Ei3VNK3ph;E3zK7HxZ-;vw1f-WiJGU`USRwq@=rM)#A z&*~flB~drOF};uv{|l66;bB_LS7djJL(HK!_nro~zP>y<9t6XNxg+mLgx+1yEWZ-W zzT)<)d}Dd@1SI8JQm!LsQpBF^(?#bm-U~vCr!p5vA&({2r}Xr6{j%(J4hGc;7vCiXTB&E@grsiU&DD*_I_>1tzquAty*Bjx&W8qVBiq35yRv-aiz zGnK>ADB4DqQs;_{#PyG^YoJZ#%UWzsEfnv0?R}3yd??#aY#axmh_hee2ACckZz4AC z`$*qjrG;ozG`d-t^($so$X6Hk7E@L@16>hov-dihbXa$NSODb>a0g`ZT2i>ELlUnu zQLSG_k@#FkW!+Toe!pEY#YORNuuVIAyO4xa;!GD+P{LqJrFZ8)io?t9v&?fjHJ1F= z7+R%Bw?1mXF1b7s%v+_?GnsGH@pHh_sHR?1KuyQ;q#g9VnQGpsu?P|xE-wORTlU%G z+SzglP$JV@!JcDJVN_h0;wb}{h1gkb_xJZV0FeZ}KI%`kN}+Gc(0n&za;RvLc)U3_ z(HcG231>D-X#@{qr5$XKu^aaZ6$J6Jm@o_)m>0|LT(p1I#xdRaGlK@z*dn{H0PXq` zCG=pSTL-5HwS2qFdT(oxC5&~ZJ!jB*(wJ+#ggMFUGpl7@;JF>@4Z6+^`^Ex=ft;l8 z)5!bqGxsV!=yX(cqtSf4!>?dd&of21yXy#Mhcj zm!_|sj@BRDv48M777)Oc=`;7H5C}|JW-9Ig@IL%|3jE(yp7KnIY`k()FQ>S5tC+<7 zSFxc?d-DmMriR$_ns;BVu>Dan%Y3a>(A(3OSk_2F?%6M!;u?=y&YXmhw=+e$8cu~l z9>j9UOwJDpKeSrhVm;n|%N7$5(IDhGdvjRYH&*WBt*^0EvD$Kb;`!^g=bBX9X4+y` z`s?_NM@SjYjW{|ppyJoE1KtR>?lCgEYZ-t_O!{Aq`=VADno{Yf={HhHNFq4zjx+rx zqm2GjWaMFLNN*C7)D%StjPnzOO$OEsc?WN(BfZ7Al0>vpYHeFX$M%FYfnjNaxx#G3iV^k!bU0UTzIa+0jCW+m zaw;Qy#5}1eJ^6Zhd8s?#OnBAx;9c9_?iCpJZpoE<=2y6N=5>DmjonrW*?yw)szzVw%E|5m{O4ZGeCfb{b4Uha!zs6 ze$D(M=wE5g%OsS%)ZF3G_H__+S}ddyvO$}F6=65(ZY3aYIz3zOnz8JEH{s3ivS)$D zf5bAQK(F@eJL>>oB8&?F9unO1jJ@n+gN$)X4S2A|W=Wj}1}$DKv|^Irp%+uxrFe{B z#>VD1&ISN9t$T+KOl(UqR$V*+7jF%LjAZTnR@9JHjT+J5LbwIfXyX<5*+l}2HI~@z zRL6MF&ujNv@k*)QHw#jYYrGvrL)9BHc+V*3yS^@Py-9u1q~@vIUko!m9^Nb98rMi4 zMskB$ri3!h=mrKInvny5jKjlb7ST`3-&+j!x@2VcUgVf^xveXZOJW-2({v^;ttr9= zJc78dKln_4b%secz&lH2LONXo5IFx`@Qsc)jeN2JpL61^;-YX}TYZX5e2K%+IiL$G z0Aaqov+n(@*X4 zjKpbKZgq(Xw!NMy8gOktsUv#Lc|GjYm<@h^|3I?N{q1(Qq)!;G2{KV6>HG+kj6-)F{Tho(nha=){T~3sASl;qyjV>!&)8Q;;}ZO;OJKPAM?{*s z8lsHUS768bh-NZtscgH&j4GtW=jCtF{?asjxL8}9nOIuLk;)N;!UlVu*LlGCWs##F zo8gb`VF$=tqC`j1=HE3MRr1L)IC=%Om?*K#Rnha#(|^T(7ZV7zwu)=X1o9;^CPp+U z_B5I{FM}2>c5=;gx2^pSF8m!%BZ+W~BAk+$jAheFTUY{}M=+^RgAcSRqR8n%aoMC@ z@*`6?+-YbPmW(V4Bo)|#uOFNr`g{hiFzkAFyJ?W)rNkNa`i$E%;|Vl7v`Y0wOdL}f zlboAa=61JBk+^rqkH*z-aPNGh4O<1`1>-xeb4(P3()W!>nW)?UnlLnLPPGlzIJrEh zJ88BT-4u3yrr*lo(iz6*ycS-5Uo!u+r3&)$&`o?oo{ZZLQ_IL1F>4T0=G8kR{xul&`t2{4 zO^e3kGjtk3BmTXNA3r$N;1Hj3E4_z6X;e)xY1WE7NR(^!2FG93#5t1Wu$d2S6zeM5=sInlC-&`*Fl7nkA^)J zts2qX0!V@n?mO=JL*H)>ri-xOi^)tN zXS(mCtdZ11YhAVM^%~vbZbf=E$!TG9(~btb5RZ{Mbf1lCH-62RqpJ#R)0`|vKA3h& zDxe$kciQqf3O-GeaS%=EI*-w?KRRsW!A-pECn_bv8^@=^N-7MMNn%rxSaQ`gVhj;jp`;1doa$bt}{-7ab2%Iox6Wflr z;%=mavm7Sy5qz@J?1{JO>|jbIa0(cbw>K|ytDU?W8E2ljl;67)LHo@j4@~K*O8m7Q z%_i5ht?=!UZXKFji{8OQp2eoO;BcU$=*u)f@n?(GYps4hy?+6qtkhO(cwyxES+&XV z>N!Hv((}tN*+ru#+;+~dN2^j1hE#%}z7GPDG;Ptb-CJuJo-dmT3<(~JoL^?IK*lQd zYp#Zep=`qE-Pq@p{>Jn44L(2Z1y_UygI)^H9 z7}WI~l)Y~sw1|`dw}wi$KmrQH3`r{iG+QA0j44NLq#rwU?OB7BX{qqU$L(V1MBP^d zarKfd<|Cc1nyJsv1Y@;8qTAVLgKQsenskssufM^hN8!7qN@k33w?VEf9T-v3QP1uC z1{irCeJI+|Zkm^We)P$4xCiTU?fge4N&B$Y_A%EliiSILSFymF4juYqB=@sXk zUutRTx)W#roHZmgzM{UU`yXE~Uji(_ccsgpEwkBc8Bb*o?ZoNC(d;JEwAdd@VYBl5 zfLl_$AWHdNNq{jgfqo8qtiJfW5Bzoq$J|ai?Zs~V(SNMMm z*9J=zEJ#&?9Aw0aG#k%9W2#o{a6_yIsh8Rx4(N}A8Kvu7PuFj|9tX!E>$KT-ta4H3QZC=)$ZqBC( zWfoL)r9Zh)L>(#yRZ&sI6)XB0w$~M`bN&g}3j}PRx|$HA0E3d4oY-N`R}3E}2yQG8xjnp`hWFen;Y1X!Emoz&2AQ`RnAJ?_;s zbn#`-;rTlCH-0N)1btvJ66gN{y)p29iEp=v z{Ci1i-fiEZe&g4{Y$Tq>LzXvQ$F*|;JY4q9&b?|UcuU7t)5^Im?4tr*y~u)~r1nj8 zY8l909V=S8`|v_OPMvPIIydU8CYM8kt>`D&P}a>qO51?=s%m4wcHGmkXYj*@?$wf3 zlU+;e^DR>m(ZZ-<3#HDfsuJV8@)_V}&OF7Vz!Gk>_IQT2XB|mK3Yfx%b##hvHHFh? zw+PFu7niqRxU4v9C}0O=)`NY5+uH4EIeebn++B~wk?aTPV`(HijN{`bLg{T>mKbSC zSNkld3f%GLklLe9y!XdhpS_(BH;ILAmmO>6Lzqc;TbbLRRG4#__fx-=RibBh;B3c30+kh!Iy>SKgb_Nd(^X||&H0ipx=p77 z{q%SYdKE&IH_vmznUM6Oj!5l0AVs@Of{9&2bh`Y|jP8H8d`CCjomjn;n$@(lr&GSkdxKpV}? z%;?+Ur=PM`oE1MWXvdTVsYqSdw!E8|TU)1L0L43T?n2_9R~=fx!#$u2!1M*A6PX=qSAGbD za^@u75?K;o6i&-2zUE#3CQbY?n&%Z@rfz3!{r_?E8?k(?!M4rE;=SUJ`sq5QO!1K8 z=;4qv@|^=NTBZu7Y9Ft9_!dq~h}Gc{;IF!Nn3nQMajG<5SbRy*6`a*@wO^6mI>sFP z2s2DBy;&&hMe}(@hVzXVK-T~|N}n9glmAEzU#Zu6M}DBt_A6s#42-`r$SoA?f0l-( z-|O&Xq~2)eFysgpa;29e`*Jbe@m|OWk$2~z-QhHpCLON`Uj4V99|^V3dQ&`zDf4r! zmHS?O@I*F4_CY$pNJa6nf1^WH&5ar{Um6aPBHjU!+?%D+!d#Et{G%4CAgBaK@ z?pCSMM$gI*ki9>oBAfJ4`(lz9j(=PTgfv|2uHx=Jx#{8MA`tpEn)}~KdHsftU`~68 zGGU>{)N6%6F_2$qylfLqi6Ip@$o9@ZT@im=ZDeb1v5$B_BN5;+nh(9THU3~gOM6cd z4GFFI@x}n_MXc3O8D30iR~J(ceG{^nW1V|*b!m+lUR4J4_<8BjGn}=c-}7)+KeyK< z_7-Q~c(~cS*#(l`jUfVF{s2K!=CcJj5De<>JAYxDnCxi=T>i}g3!)M|zuonX?cLo% zLE&WtrFkZ_2*dc^qTjv#Otx{^S#8WdkL>&2e!&x?>HP5b=DZ!lYK-BTpm{iGYWv@pKVG!chKfl>ZdQ zhG>g)Ze}NRqHPFW`#ZU+eG|c?%;by?4e#WDmWHDZHokIy?FtSvDI8o4n$PE=2l0F3 zM&p_Zynk8~$uywwP}CQgo-1NNG8b@c=;v|2QH>ffmT7KrCG<-MT{LhOR$Z2CVoL&i zH1(NwR?)TTh<_VfTT(P4qVm#L&D1N3B9uwsSd;WeNcibICo%9p^tRg}H zkh^g=&2yUfS$2Xt8P-Ame!+V0*&lk?^AT}aj=nO)ya0_JKN4HNM(($3y3D(?e5=e5 z3Wg^|xw3XMaU2^?AcRwQ@aadvM$jeFNc_W4ECZ3h%|Ke~(7#sZ+43wq^bvcs)psaO$^&YJauEDoWVVnX=vLUa#KDyT$OOOE7PvOVma72AX+we~5JCf_cQ~iK!uRLBj2(1BX=RU>d)rfHssQ7&hA(PT|57 zesybN3z(MPjnt~%QHrF=sKa7UK%>0`RQJcZ3;AMQ*U0X8QHE;6E`1L)s=i96AWLGK z4EHM1(xhP?)XA8-)>R5PkF_3?1NDIS`P<+aiRDm9ZH*fb`4F1aX!utwUKeH5fwxv`1WzvnDQ>2{je==9BF&4t=Y;Wf!_1&EU zF5E}meFrFrtZaw!r_p_=q(cmh6t+iQg#g< zpc^^BLgwAmHfS&ByrobHR~HqP9#L5#wzqfBYJ;`I>1h7rRIm?S0D`0dQ8K`#z|w`z z%AmcG0C-gO=WF2K*Wq94|5LvEKR`UtUs+teMZNMCVqiBO5o)K?3Ef_$;Crg;Pf{-46X4Nw`Ux9?Os|K~Sed6C@au~!4`KrSUUfUL zU4mk_3*I3mLk34wF?=FpMD>k+1WotQ(IjlR<0x;Rj@NmQ-xD#P(@#wFdpP4RrjW|) zL1F#$*|x`t+*9t2iI2JcND#5RzVREpuyCC8vDjMD^FylF>be?Z{tbRVGUDr{TI9L=Dg-N3t<}4Q#q!N z?B0BfJd5E5CijLEB*1=$gTvnTk2fm$a#m>!I$-NDx;U)@=vv3>Q`iP0c|sdH0S$pK zH9N{x!s_LTmFJlwpYcy!p4bIFO#*Lc>(VG~WTYZsA{oj{H~H3c_B`n~weW7Gni}94 zh}n;T{4mq-4wQiz9kjj_;LYm8$$wlEuT^1?-CLs8oH*Mh(edaurNF%;CPTOMhycfC z*c-BL(E-|Htj9ZF#BYhd0|>d84D(n>p|ImwCwz0sWSwpkky*D~Uati4QM{sr<0aMAq+5WaJK!UHVXa-ZDl?JsF3U4Tjp(=CnW|surCz>jRdHb z)@V>HZCxEh`AK@efKq%L%|_TA(hWD(a=oLy1E{mHqY2dkM--?UbN+~BW~-fRNCbXk z@;@wgye=bS10%`1p2_$vk}MDuo3NV#F%lQJ{j&Q3E!1??Gup3gF@Ll83 zFuj73*($yRdU>y%6tVMnIvJL&OJ^8_*u5on8pb20vNe(X{HILY}%g{&%`Cb@_ z7_~YjiaDfS_u%GW=xz2Te)!e~V%ZrQ8{^&>5s9QwO{d}F1?Nf|3g<=>?Y+()j7@OTUU(&zbY1)A zbGo*G#rid=f$Bf@H;Nze;qg!G)c=REw}7gu``W${3F(wBY3T-O1QA6_5Ky|22I)Ga zh=O!VE1eRDZjeq1>F(}6=Ub@v{k;F@`Q8|V!EoTvv)Oy?x#pVlx_(nXI;?+6_hK1h`GAbfVW^6%{KIsNnC8G z4sriE%>pSr`w(1?HjumP>Et1ywIdTI<>kjN93q-R}dmT@HT{Rebb+Q%b%yeA# zEQ&D!gF{F!1b3~+sRwetzkovU+;}6q+{4xHcN5VEDe|7=n0_hHX2e%nqdqD8<#kjj z*eBMSN$o6`M@_WxtD)tb%lsvF?z=@dS*HVCV&%<$SO8`zZa*X&3>V8*@rU8o+m6+r zj~2T)M{!tHj3;W_yfsPK^&Nasf-9$NxFT(ZqfA^cOPt&<`d@T{0VU0s;g z!ll8G_~qdz&Yiwtj>!AOBd+v`36SNpRz_91I)A1=8wesIY+O~a8uILc(evm|)ro*w zeG()u9#x-oJjZ996eOa_j>FI1s&G$Wp*ZwphEd?F*0p7}H=~&?8!;4fW3`d6L^V?` z3oKSA7HU`X$dwh53?WO=ei(ZKp&R$4Eku@oMNP^=71JDRY261Im`_u4; z==Q!Yg9Eb)-GpnTzY-m()bIz(CI=Jjx*dbc|`2M8h4_DfppToLS=D3&e z{YpNgy1EG+=Fl+|C42e)5F~@{U;Dhztul>mBt8+C)`41)CNmHyqK3ZhBMyC9owg&e z-F}EOXGAygOPOBahx8Nr`p!Gg!@DJNXCu}{!Bw1Vp{W(C=p2?c!u8^AEZ)m!i=n)i zrVbx03JrpATVnix93XtHNj&V+VVPAs*n(fI>5U9>6zI1i;N2bIl5N{Ad7Ju)m^%1o zZBn9reMdidPB%u+6~Ap;ZrMzl1zuv9keXVo3)jES<}USwa~)CXzCJ+ZL{)m>+Cnk3 zbT7`gpR8^*(Xu!E-TNw>9LFYzL7PG&^CuIN_v!?yD#94^xd?Mp(HefDCyIphY9A<> zzmb*iLq7}7((^L!po&H`LY~=1nIssWYSunp?#%hypDj7TwX1nEkRs;f;JXzbB=cf; zw8a`>O212&c-_M6QxWvR>N95Z?SN%lx%DiDj|n63+de)#P0EnLG^vK7)7tVUFiYJ? zG;D$8gu@JtK-7nJ;w0zFQZ^&Nd z%4V?9iQkLtY)Gua9gq39u|OOC3@Y8>WtDW?`U4ZW)hjUEWnqb)Z4!qyszK~v88zag zhgEnz=1uCew}u&M-OlxWs(T#aJK;g=pPDuiA5PfRuQq9^2zhcwu@>%8B=sdV&PLI| zhblh>FIB$>ZnWI-2O4{z8<0!9YNsc-xj89s^XYiJNQ;$q;sfdvw0I=alzX{M7dU?| zCt4CE0Y5a_Gr*QDy1)m)bwBwLNA1Ihjhi$D_7FT#F97T~Z(@H8yoJ}9~LX4A64tqHG!B+LkUy8)B zYdD9DX@j~?f(;%?+f^O?AZDz;iTn)|0VgE6Ep5{+VpI`kh%Y7jEk#S5alo*of|J%4q}xL^33G%wg&Nfy)DYdpaCM9LJpEZxKAa3QD*}eRc>3SJaL2slDL^p2{}l zp7^h;fOuOyypfw^&;G$Rc2gQxR0PxFS5KhD`uP5$=Y>vD1P!f&>NB_{s^_k#GO zvm@H0uXUAkZd!^LCy@%?-VL83tJvA8IIXwUU<)7Kt$I@CN-&nwh|k`yD_-y-p)$&_ z3a-OXMDi9~n4cw{CJ>0m>{t-LO*r@nrzzAD7=M?8_s_Z9kM9nD*r7Wp2yb`5F-Hgz zdFqEvWgV2O*%!Y{7ba>53|5%q0;&cf3D_kKL0cAlG&EMkY?}H%LP(dgqc%&>m_M@qYUUVu(UsjjZMN zI5Z@+U61y@5qGK!2cayMECn}*fhLyh{Uam;=TG_m$iKN_@? zCo_&!ai3UQv-q!Te!i2uvVKpGqlbs>^&#DEw1iexg<<@!wE*$WjJfLUrwv@!Kh8*W zan%d7@kXc*{7sheRDKRqUUaZ3cfI3Yn$kzf(Sxuj!=n1B&nAbB2F6To-k%8R|D$q% z@ZE8J8H5M)#ltFFl@e+BQvKP&p-Zm<_5(y;VDIB6B@UV_0d27^$6%HsS5fnNM^Z0&>zpspx! zPoi{evO3QgAGJy!A`(`L_5ZQV-$BhgdV3nZ{n9r=lZ3YB(_9)PU(0U>RS*p>O}S_`dm!s$EK^S! zvV%lVvCo3uT4oNAW2Fq?U{wg$ZlqXS@HBI6c@C%wK|`iI60H~w6z;XNVe z`!IdfPFyyfsZTD7y1W<1P!(^0dh#sh{y<}zzEQT2Nie5MGwrn^5-U!pHL&}2Re9RS zs`<+^U)4B~u*!|nRB0lKxTflK+h{45iq)KPN%u#hQ6cYlT&;&tl${(!b6CfHR_vZ5 zL!X?pVpK{*jv*dj^S&yi?#p^5%jirHnD?iSk3&cS7@WOi~BMJQMme9hx4!mMJ7mwU#@f=S|AWWV5)Z3qA>X zHB|Mi7tEEVfvC#lb#Qu?%ihvX@L*#o8Gq?hZ%e~CMg^Y!kN0Mv6V6K~ z#zsbE>8368B`Qesfwm2ppTF`_^c(=S0oEJeRQ1g(f5qk5dXKGP9}>+0A`alI-C1vt ziyhWtn1k9i4YyfOL9rAKl-(!GH&%HPg3p21A~RYl_>RU!-LaHw62cL9Q53D|X1ZPF!UPe=9GX+^IuDrL^xUZ@TtNe`9&#bczWx;S?9@U1n` zYi_5tWy8S3`!A9wova*T@_&`oa63exE%@f%=f8&hLEN>W8DHLMQ^q8@TUKK{ZDvvN z7rSG{yMD0_DEl&sN^>vruz+t7kswr62kX5b8NDH!kWSyKrBgLcY|k90n*ZgAlO*y^ zmaC5jN+loO%Vzs5((MBe_~#{T%F}48Z>EP5d1Vfx&yyW}O?>{TZR#7{qp)wo+e|m! zdE@GFFj9+eETT?kcgMfq;9?2oWX7p-)caRi&<6uAnn0%v+K}m`AI|YULaRgEEO35k zUmHVaO2p;a9yLYKk;_f7yNXRekg} zrLe4TB#NMsq-rvAD<@+0?Mo4xVoW-jo9?#iF+oP|Cg)^YrWXxQc3gb68aAqOQKr9u zxKm91&DONE~C0UT!I2AwL8W#MT<*%=BJ$m zwd8P!K?mawuVZd4p{mvhvb`V4cc?5&)^=dg1Mgo}`0w=+KVL`j#D`2LANh_A#laIa z*OD|JxA~;&*;}EbW3{Cn>A_)@&C4IH9w`0rqv)kc4Im$h=aPn9UhQv%-KPxi|6wOd z-eqbqH%&cy=gDJ($Jx#nzXquS4?ECEFl)}JI}W&6ljPB*VCgQX2dkc9PiL7XB8cDW z>JP?8KmNQ%Pf1_No#fE#J0wRF3X1zb!}pOu!)s0op^S~2+$34Et5)`@v8hzfSLEb} z1};+vhXzF3AMf{^@FBfDqY~@2uACtX%j$p{7-b3$pBT2>0JCItrf{5vwyWT^I+Cbx z#s1k&om*Bx6}jvhR)|H3r$bgV*|^lo=IN-09z*Qfp4h_^XpE`R(jM}_v>Xi+BEQ85 zm!<H9zFkLvUtYOFW;~R&E!d*BV+C;K3XBvStQ;a;GV~E+0(QT zDstqrh%S~VOru-=V%wk+NOJcal!-o&=on2mJ_H8h z9#$(0*R8@z0e-YurN1v^ zYnbDc=@{h)RY>Zl#S6C)0-LJJUBuYXL?DMh`d&`0um1shryElY>++3&4wg0EI82gb zvYEW!9AhsiZd*!)>%oJmmttB~RlO;{_se-|NrY0$o20F8N=>Bm1`K|7AI|WazSzB# z1ZwnYTp25~ouDU)-WuQTZ}a%lP>5g8-({U*NFQd9&s~cTlYv5rB6s>|roIRY#+S$E zQjaP8f?5ZO@?Pa@V+yq}Je+R$BIDCm*eXefMwvq=8oQE21M=@-|iElb$d96T??lH+gG zN2YuC%3kbgiXbGVA+_kHLb*A6n#V{xHP`lQae5ma+le+^J+|+vPU}{R66Sif zTU!k7q)xqiXz13Z-b_v-_0ipk9kTFnq|Vb6+NlGLcpvBIdDLS+SG>3*5aeZSK9_)h zvqdk<^+Zny#dT(ECCG?vErg}kAuW+Tv2t())1LCC12kDb)dv1?h4_XbrBO~EG=``| za-1JNZ4cqJjLcY|V6+CoN1J-!^yR&&<>_^ zUsOD8?CA0S#vmUX4|pUq6t45WyU-9VEk8dh5VEXCZM`P;*+*EPKDGT=e?vR znO|qkL4<5UKTQR%spagq#7~(Xsm5h5OI}?YFdb_6US`P*MVQ3JlpvBSgo>SpkPRZs zGCSan8yLqutYXNwifZTO(tL(~+oA&JYkO;gV8bJv4lFX6NRm1d!-qXv#kGoNxKdJ0 zlElMOR1qwIR3Xc<%1*;DS5U#Gs=5_B{&=YN~6`s1@3)APn@rl zZsZsieuflxgUv%e{iEa%PCy!>gg!WW-C$51@_8ok*--hBMjSjwMyLPa!{DfP_U-bHrNLG8t#4N2=+SQ*jNR%1v(Xq zz`Bqq!P3lD%Rd#K_EgF7BAp8A)A!`)u{$@HXGaX5RwDT#+@78sM@C9;mCK`#%0N-Q z^64$ukz{?PT-Rxs<}1dI)sW>1~{Uf+AcFE5K9Rwshir|VcD~J6LbPL13r@3 zn&3F0xrX}WfY(KJu44zbL1yH{sj_}5S-)XczA}g~)DasQx)%@QgNNvtRv6E2LX(t) zTvrp!dPQs-3AC&CTQH(Rk(_+6hGZHpW)_+i7APB&5+SjVf64Fa4K+y{xo}NNtR=mB z@vDbZ9S(>vF1=*~iabsh<7jK<;|CPx^_0ADbMob|)bOhC|HJu)LTwTLCoSzc49;24{#SO+6kx9uhDd z7jIOMr`{XU_1H5}jJuyp`@j{xuci8Kywk)bJX8b|c_!?xOb`~iI*t5s1tt~Wue!r- zRt^kq!WRlzlEPfQJ+YiN0Yh0>v0)z6bbCU&jV_4?fpQZpHvER+mhm=K=eonj zuU$cgfGaxkm_}sAhrhoM5?mS>;Y_wUlv?&;&RT1$y5P~>6RdL`Mv6| zeG2e)ED#4ZVv99xis}}ht188!IMk3i<^z3c{G)fPIYnc2Pu}rj)g*p){V?9ZliBy$ zEICG<;>Gr`jRtFX-v^I9tYz`zMwPF!8wi1;qt{amyIyo(Ysii>ZrdHVYCpDpGsmf2 zZO7+N%fx`AK_P+1H=@O!~WrJ=U|TAbV};s+)m)BW7+#L8KB`JYcN zJ8|si?;AGWobhh?qmj5}y*aU1tvl+M=0o|{dZ=0F`kgFI&n>glc_S#W*IyK)=M?al z<|Ls?sRCkyjXlxqQEXETSWIwkE@6jdxfs1p!qS*(9n!{rx#OnJ&`d1Z?`@ zaSG5@Bdkjo4Av<+9NM6}(H$p{W!z+yKh>NTq!P6v&nK_m&y%MHElodOzS3&4wrx1b z>O*$xgpjblKu>Js9CW-G`X(o|wx%(Ernlvf^njJ#Ima8QlIyF%Ch26TE&7E@%sqY} z+so!nxw!%71BquSHKvC5MkS)82tsgGY(}UJny-;9qT}OJAUs@z(OS=A*fMpo2$q5l zmFlQOf-{YD9$8({6Fu-=j}uXy!4=cbfBTf+mq}b!#G1rP*~3-ep^1*S-2Gxwv3{S! zEY0=a=i9Ek$-bLD|LRKV?|z@QYoRr0E1<8{XwOX-O}R2~AlByk&3Tpm(vM53bRkzb zHxZWNM9U11I^Wq;^(vsGU}dCJn)~0}7+vU-beUpEbnMOA8ycwua}-*C^sI*LIpNrNi~Gw9^oL$pml2y5)&)hY#}dm7J%>3(jPkqB zv}h(d>@LiPNBJa<(=T^E*ui#ZX%vE)egp!$uvi=leobP%V4{Sh2>0`SVIiGDnP53m z+nSB6^77K;@P0FP%PLsWb`E4?*u<}9-L27vc?#gZ${70o?wC_tzL1+Oy@wZgolo?# zkUMgLvcjXZ>ok$yQuf3>Vn`7x%^`L*UB)ss1+^v*Wx7DVDY^fRT0j~G954zVhCD-q zW37!$wByp&NMd^(QjK|A#Mn$EprLX2R12KjOk^aix*{1E2BNPy3#@R~5_-I=9aj9z zDh9-_mK`vb{;1NprlH@sLyP#W#XQZ%vyazMwp@-XQ+elJs~ zxZ(9`ur!JF6%yV}GT_#@11ID-&qtS%fRG7+A|7QD%$&M4S(MgW@ZdAg4sUlW{6VMQGcstzx{Q^WoN)+x0(qb z)yweUEHmJk(!@j0__d7*IYe(i*`X2MchDe%-hUVW9$wm0sfgj*EcA&q0!X z1EvtnQu7)PxROcrqLTQ<$Th$vILxj>wz)eJW7)MPT_>r+XOx>92;!d^V6YO?511-^ zA!Q4$*7_oVvYWj%;wxhN1!FUyz5-G-Y7)AT&Pg%vb(hyJUoF=v>KNlJyDgR5@;!%1 z2!rsqjjxr}5SQ+`heZli2XrDsYu%aGte=nC>+m~A_6N__%hVU%lHHF`U0r>|NsAh5Nl)~cQsP=J zzV@2a%`oYbh6!&n6UY3QZ-3DHS6br`TIn%(sUgOP6>M8ybf9{6&B(b$+I@Yz`Ebob z!|pDHIq&VJt z%P4!`%J=$Ku4FpW&YGRL&t*`|Vwpn)EpI3)R(mYEy?WmHNB(DIpI?20?4m#BLk?2~cYn zK}~FuJG9FH{HcO-vu`+6<76oo1}SM7*E>wb2$xRq)AH)YS}_)%lh?CF-33<1mGwcTz;KON8q# zg2Vk34?Mk)#Xg{qU*LEGC0EOa=KhWW^FG%qk)w@I6RL!MO`0X;NvOZ*B;0-%PIy1| zpyRW()v^7w`&J>W5DL>=MX=8HI-41v2I;#jCf3Q`re%>pp;iUYTyRH+Ken)(hTy%m zV6)9hz3MSRPl(hNt9sFXYGt9E#dKYoNGLSNwk!JPL;3~cT{s?%BoSrl~k&k^T8xR*E zIqT?azFL>S7Ogs1>R8(sUri`o>DlCc7brP(_-pBNl=QP+2yCEnzmDTB1x%4fyn%Z^ zerHx<8vjh31fqvaJojndtGcIw^On>xuKh05y_0C^rJEl13lF`q;yK*%M!}9NKVj~0 zNm}3VAsUz4gQ0#DS|@(ZESBK({IjpW{7>pUU0*^PMj@aXCHmT?ORL;mW$aoeCl3_^ zugcu!+i=7L_lYr4gyXi%ZrsYddcf3DG!>OOios@6LP@Fvva8|q(t?1jK)$6i^L9J# zPSkOejTcH}P7$7VG$@?2{y5_6{1cha=o|Rxe=aT}nZ_M&Pw?_gb&hsfTUs~PyR@J& zxfVBES{Ra5Cy4^aivOX^FaOkmxn!3MLkv#6_$MvD7v-1d2xaWIBwZzx_EG;Z?|0XG zI1OukE7t}=P6x1~RJf~QXMOI(f%o6oK;uh+1~%J1o7xRF`)r(m6MrB9bq9q34rLAL z*un8#fL}hC$1e6U@akLd-9*Mvy(Dw2n9a*yL9U@Z4C>FRnauHX;@{8?UA{ZR`K5?4 zs*d)cY{TLywO6@@mYDRq)%&y%sID6o$g3ykG{Hzo+^d}dEnjqfR(A-<`=32B^ry4d$51Ud^A*lX^a*2+D8^cu?&xJNk_42Sk_t=IgXC$a zsU1NTDDi52J|)XjMqBy7XJPigAGg+n{e>WE6yfA6@3l+Hc30x#M=sRRaGiw5&*xrr zHTGXQpV~FZ$FfUfu!BMOv|f z$t6Tl^f$>PuAp;q)NsCt;qvg8a998doWLk&-qY0#oF*eg69ufv8j_$m^`k4F*d1X2 zsw%Sx-a8knNotN+_R6f{+4tm&19uJ@0pL#V&B5JrLG7Af>bSP;24SHK=WuW?w9yT(a#jz-F{d67|yR@!gbz#v+OWCXSjJP}uNcVgRzr|5)H``?cexBdmgT}fb@Qjmp7r(4Q zJ~KQ^d@Y_~b@=hv3k|)S5?_ucJm}rw@Nej{WCTG|FWFnyFCbQ^n3?K3uL7ai>n0#*E&$5J)eorow(U`R_mcxz5QRQ`nz+Lp#Wx#T zg%*}ntXc~NNE8#{?os2oAEtoeCrrTjfpDss%}-$Q?O>p8{bz0^@kh;+j5h5%r5Ave z*;nUwG(r&M_=5E9GI_tQLR)(jNI2m7i1C?Wwp6C62I>zQT>hF}!Cz>lARIqfryKk} z@2eC0f(JkoILeFOCrau?1tYEkzp`=y&J4;dVdOFYy2bFbBFNy7u;aSE!_a6rs%Y(3 z9bcOFh^CjvZvkUr!;XKf)^FC({bc)Xis$A-kMM=Lsv?vDZ+-v94D@&tY%kma1YzFe zmn9w4rkT8d-4abdaP4kNezh3wWOX{bPD{;M6qSliQT}rAAbyga6hqJbwYYA4am6W3Toi!-_gdEzyURk83cD8F;yO<&Wx62Lk&N`R|Ki zQQcjkqGXWyC?M$_LN2ISAKitYclwRG(Cf;16LX5NH+7$IN41ZlK}1jHUcW44Ek z-{M;hd)?1w`7{#ROWgyjNZuTp+x3xrR>_;*u`+)M76Q}1I zl&@7;6v3cy_X6bt)wU)I^r&6tyeb(#FJ{;-#X20Fyd%y5n_GYL!2- zf#uTOd6;9`=yk^Hv0WYH{?*^Cl0kwaV&w3)?`GN-{0x^^WFEoR;w!allP9-jtnRxD z!C$$))%&z=*d8*ecYip3zia|2MUk#gE852g39AvQskZxPfE2mqL5q#y$R#lHMQk4S3ySQ zPV)w@DSoc60D?RjH!jv}?L1cG+MMJhB{Nfs$+=sNBgUj*J0mwf|GvdTY^!ga#x?Z} zoo!StBKm{bX`=+i-NV>dUYP~PCEm%R50S2}S$jSbNOaYHh7JK@*@??t&P0J7wU*a& zS_g>c24vQ2Gfr_{w&1LlZ%rjSkWv~sqIRJ$nWTCl0u%C&Vc7ptsPYvB`=_4=^<4BE z$t2{SEA_$#UgOH>AuKG;%-5N9QuEo~S5UAU*Zp~)$@}%Cyt1=PpS64}Tdvm|*Q^EQ zJmZHyE3`CDl7i>B5ohCoCj}J7m2TAS#A(*yu%W%cxeyP%;Re;JE*$e#qxSZ1d(od- z+0h8me36!_k}-G z-8Y0{x4tieVbh$l(xs6T-)AEkB-YsnB;a)#xi6o@=v1NL1ntj;*)2yrMY%LnUX={1 za7(pcB~2l@cj@*`G*8Ob=}b}}mhJWPC4=kl02i*C`!dt&A|mBS#n~cNK?u?5<)_jQ zceKM(c z)DUblV9EPYX7Wz-^(-yqn+gk@H3Ecb)05SCQIH zn`oL|iXlVvVdgM7jSvPgZohX!PFtJg{SvzHv09T;XOd@Z&OW0%h~A%#aiE!rpgQTMcl??9^>s5Vao6OXUk=Q&%i3`yS~p}J^L+rL~cosUHlzyNURXg!MG z^&KCCIwHgO!5Agm5WqQ|Hdu59%r{dYwLVQON09wYVxTB?GSXJ{2gv!Sy#M#RvMb`? zXriF)DuvWK+qU1W;NwxpSrW}m!7#PB!*VCwY)=&78*{0+u6%S-^SxSQdb&sc^zS~; zqsFT!AE+`M%soCVQLy zRv}=pJd01$&OcWBT55~5eB}WI=F~?>Pfm!;cb8MMMAGZzM8o0=x-*Op* ze~alP@qW;1%Y9b$oE?!ieCZkYO#p8neiNQcDO8<}wS_h2q3V&sF!T=!^^0rM~EN_xD4k+-}eIe-7$0h~{MmtAlgURHw1mlOtqA zuL{eKO1S7yqpUM-p1>%q-{AOBJbLs)U7rWiuTlwKS4 zhl0`9-OH*g&tudIC!LJ5TXic8T9wdiKhF2QdUrToHjvBPFC=|+M{P_zwmw}X6E>Qr7$-p zpdWv9C+Fe&jrkxdZ#l-V*z4zI+V+wfUHZz2RqBQA{QUNd^iBW^hODzh{LfkDpZiGT zJA&J!xdY5q6xYK z7)T`!*l8!uQ~Tkb7jIk&1MO%hPw}j#q`3}Q|M>;M@A&(RUdG4I56!@k25cpZvicxF z*#t!Gm&J95A6qU`>OFe9qu3;4I5l)f^EH%A%+_)MkU$ZOT3kB@uy?B-7`px2fc(49 zq&1;|2^#8R=kxxXKyCBN(xd?DF`(P!KQZuk33_Em zH2vNCl3^&dM?p%E$&{{RD#N?~Hd00T7)@EZ zWL<)8H5{y)aI|e=Ug9r;w(26z+k=R{w}r)J3U0Umafk1Oi~<49H|O2yuJ2@esDJ;y z69ExwJy&5F$D#!-$OC>Jl<1F7{)U?WdN>)<;J!Usd(Fl4Ki`}Gr=Ns7ATqq9qNDrw z#rf|a@$YB-Z~nl{0~VU5F%>fJ>s<%-r3-6z}PP??>JDCc#qhLHYW z=9>D_%IJeahpx>Vs8udle>+|{Vi)Q!Hr|leiFur;0o@8FR;2yhI|qjmsg>?r9T69c zWMwc2C|L7HR}_GlM{@r<_{m=z&*^Ky{mUb?*S?`Q7YOFLMm!Kp)Y4?XrC zw{+5L29y69MJ1PJcN@X%E_j{(Ss?$c6lMV=P^QlU+9TqEXHTsP>>@-^kjsH4TGN<4Mi{xzg~_<2A~P>E8gL=WOZFHTwP>8~#h2;lX0fA23? zxgV7D+YeWC(^ACT-Pa-%#m^BKgDY(4N9(oDN>VSD(ZUzQ_H?VLR5)u2GXjq^=+JC+F zG+6hP0h)&jzwA#A_rCkv)v2<6tFnfo z`-hmMqVz_{$PeV)ilV0oHGUaaBgeJ=`ffyrj(*EM*et5u9Zq_WNt%)3x)_|Mu>$Ho z8fM8(rcDFr)E@`Zr2LtgNoZPm|2`SH4+xW%tP5kAmT@^}R?}4~USIjqpX0uT)H?5w z@mpo-UG?uEitK!+qbBp2x6=h!7$?9jKwen`eL2Cz zxVG_PcIIS$&ewg<(^sBe0HSHeBxn`3A?OvDGE7HBMST@^+9V`e1t0k{giV!zMxKv# zG^0s|gx&r21(w{rS9da|WpQ0)zX_ePb)j<_$x-<_0;X@Y;9r2!;s}8M!*hxCJcsII zGqdEYSc~g;*sQW#F-f>2>w!+pB8}pEj!heL*$BC9L;9_-TD=$Ktxsk^-C@yoWPf|M zUW5&^9K{=cbC##q=)DPI()|hP4JA49M@By|`GJb0WdHczo$!O={H?AQa($6aP6OSa z1JaWGq`RgRdfz?WMgc-?9nb7nOx|d|8w2`%LhUlsP%!b}k-J2j&<1hC@v!_ZBU`kBdzSN4Gh8cjd-lpW}HT|6baj*YbSY3D^2X(0XsAGOFM_;Au5shiX z^XUBmH5QE`imZdXt3?8~&ivlza+$S0-M7j>b?+SnS-O&syX0d}EJKVSoj|`yPK-g+ zbp4$WT}Y+9NZ`ry=MQB);e3HM=lD}0Pc3&p{b9i3RQcN_G;}KMY$(|yhi^pj17UUd zV}xphq3NnhkDiDDmoX3QB`wLEP)0b-p@>O0VTI*5N3s*2Sw#8%ydelDuYjtpJdNg( zP;kceE74#Z|DUJ^qLgnN+N}mmcOGQOIToXNx$IidfD6p3#*nVn*G&f+_o@>(MHF<8PQd_wAtLm2~GkaZJFWCOf zlJE&@0s$|pF&(RYbrEy#>g24hucmd=&iE4)|e!PzR1u|`qJat69L66d<`-*KL5e6+v2jA(3R9+gam13 z*Mpa}L04(kXFHX%KXNTt5dCkb8;Y-?{<}{)AeAKa@zuZHR2pK_%*-qQ>CB;)@i-OP z4+iyub}Sk@lVk=VWIDH)uJtFcYKwyohx`d>6|C<8ijf+FFZ(X$$v(-xW9-+?Q@^;u|@+@_%r%*V;e{leN z`eny{1V~>BwyZ|DH?~XC946mpe|($Kq0{#~ly?7l~ zpxdEwg_(>-EM78^?vVNXGJn(? zi5n6!_hA41g@j-U3)IiArNu%5We4;T^KVd3^92g0a&A*=354DX3ns6Go2#=gsu9pz z&+hWH3KkikvPLMCb<2L#@3)4=2<_K}EuCE$>D?MNe91=R1wUkq`rTCK3hx{D3Y!_> zdhuY#7me-bsM((?0_WEjF4igW15l=2#xG%3SiJu{tRU`ec}^!b&1LeC%m{*>hDY zR(E13MM@CN7?HoSk6b7~9`uvHy~H3{2dgLpcb|{5>tw8O$x^pP6CwE|Ma&})v{7V( z`RnTpIEJt#K{O=eJ{m0G0|G%YqG1CQ^|xU=10Dac0On@v@mekVo@W%|VcUPD%KDQn zGLs;xE92%m?a~^BGTSWu2;JN&Zam$DFP1my*1J1}b)Q;K)xGm51>8CaF<2#V$9h`y-;t#$`qTS+K!swP=2Yz&KkWixca+#+(ZqX}orK{x*qXc6v8(84m>`qr( zfVq+mv6<|Z(HuMPhcqt!lmo(Zk+!dk6K48HUas0!mrKsK1irz=opgJEXxrSaC1 z-#pG4q2^Senm1+jXL+Bm_LmbSFNMjSrX7b>=#pl%6x=8ToEZbjiHIO_q630)z%S$mywbVAV0Fhg7D>#a*ICZ5_1y2+8@N6Oe`Ch`w;T zi)F6FBfd(I7z5JL!Y#epsuB@DQ;mSJ#F%pZ%3(4caQ58_`?&Tu{>mU^1;Edja42i} zH1f2@*WVz{5&S$-|0)TNFR#7`SRX#rc*6O{$VL;P>)hyzxd4t6kXPoH2VJQVkji6H z@%%FPAx=}r2$K*ESTH!mv7XU!ncHb>yA4i%A|(Ai{jyfyyQaqOgHouuVEUwNy$2~D zPEFCXpQhc7Xib-9hhSDieTEL64H$37qhT-kP6V8x>lfo#NC%leC~T69-_Az6bce%k zMxHSxF9)um{f;e?tN5?qlG@HUKl>X|Tafzgg5XqHN-$6O`PI?*BiOq!iI?G8cJ!Q`p+rO!z^Zwgy($&@U=bA=na(ghJGH5F#o4e&MXaVn0PA!ph}y04 zF@auIm2d{7ii>wld0QJnqKuV{cQhFnNQN<-fiMCd+gAcSaFzF-l-cCw3m$f)r8yMHI z8yN@FZMsR=tAoP}RKC7Piu$1k+q;KH*tS~0lpmOC!6+oNgW<{nx*bxVBc?Uo*fY|hdj8HlWL}+ zxW*4gKvJ8A$~tXK^1sC0$yV_9x(X#0h~<(Wk^8ug4CnYY7$|H^ipUZsewtHc_v6Dx zu}GHUD8=dS6uCO>y`0`80|khRBm*X{7zpux_ayfREOc7}HCrHnhE`-QD3rF9>X6}v zX8Mu0{Z-*A2anuSL}dD=BxL$Qn52eC$P8BWeMN%>v|-wy5H6|zSz_}TqkS%w=hEg zbiO`Q{se3N>+$9U?`q#(-PLDpLEgLszNchmgAJcdF>SlU+&*f_e4)_}qnc?I*ot9c zkSD|^ylDj9;asiuHwe=V#CjRv+>k!-^JEDWfCgW8n37!k-YXb9rwpJ=zwZu44r~Hg z`!FUA+an;rhLi*hq(8gt%1%*>VNrhxWcbc4XBT&Ai*K!RyJkgEZhL)@o6Hj5GBDCN z?{%4Jo_4hZZ2oVZiWvbBc->yUlabu##`ET4x1v$ug)9nW?SA`|qG5m6@JFVNvsjD{ zrxu37^78V!kr?;P2j_by4PpcR{n#?S{~VZ^X%NHH|39MMIx4EJ{T~)Y89+J(>68$V z?o^QOl156pOBlLCLKwQFB}Fxc0|J&i)4l^BKb24$)RZUWQTWYBd6aS_h&yTr}~wJ=swB zw!toulnM?qbF9Lxu|*LmLj&!cT1&p$erwB*$ofua0BAJ1Byv;h-`^O7Y9k?`p)jTZ z1%C*28{8I9060#Lc>+9>A4gDVq)N!5Ir%)a&ibZXn*1@`5wg_iV(DwBFIt6Tvq*s( zjEY^m3q+1uBO*5$Z72Z}jx5{nSCJT@%@;dmm8C$ix>c2E-qGr8PMc)?dp-XDHXbS` zWSuJiZ4;sCJtngQD=Z9RGQWkK^^U6Hu>$#{2_~KLQk_RQXpfQ*}aaR9^)sFJg46n_-R#V|P#r%Cih3t*2 z@Q$tO^S1DQK;`E$&h!DhU5x2iS@9JSS%u{zduYop8P`K8T8*q z{z&4%@9?QIt?kdFHA6mrSyrF6aXGi+J}-aJxWRH(RKT=NmUv00wvL_cLs8_RP05_QwL4ml80`2+s`ThKk**W zwAUGw|9uJIXCtk@q9rJci%*Xk)d1p!{MV-deciFqNoQi8gQs&_;{lY)@H@$pLHbcJ zN*uVI!_&xaNgn|ne|fwDj6-57X((ZP51EXA@HRO07uxgqvn1M$<(Od!nURjL;OHyD zX{L&gLmvUA(nO4PXh>rpW>wjH`*XoEOSS#>I(;EfpUO<`(+hPy8|+)3s9#m+Vod0s zpaFXdXyl7PH3NBw+k=1bf$SqBNL}iCRc2`cUG_q^sInlOhbSBSkLBhOf3+TPGflMl z<8sqVjCQ~Ywe4B?{u^VCsEi+>mH(xRwc_IB!x{=2rD}K=55Wpu;~>X8yTe|#Iq7!U z5UvP$44OEKLLN&6Ssr_URr7d4QQ{YHGK!F6_(_8rh%l>~z-^g{H}xAG98N24O1OG{ z#;F#hU-aA{=z)^Sb8Tiqa@zt5`uoe43ee0|uDg(x05ocRefH@HF%%8s>x9_*Cvpwf z(`c}L{<=tOUr&z=M^JEUKwKms)zhQa_@y9kQ)z-X!-N9a_N&JPO6YCM+zpZskV%tr zbhm$5Ztj@oi=NwPA=9*5Xj^INRr#lV`X2J{A4Ly(Fo;Fz7+pB?5|y05MRjZ$&SO0% zeWiFr^m++{b_jqhrC?Z*n&X$LxBOSLcoahX`T3xlpPjHC2KLKv3$^RVj@TlnAFqMP z%dPnyS{pGk`t$$q`Qs=#CPVyO7&dNO{FxParg)Z#Y=#Qh2`D>ZPgY+Y5}h)}cHHs9v7 zm*$ayQ>3=6V@l&)Ev@ybBDZx^+2DE&6x%JEhWzyh)P4#45*!ANQK}=YU#>rV^0qkO z0&t@}*HsetM+$BXfch7qr|aMEbh1>HDA6hzB_yhGgfgf|9jlwzGiUtQxB+L{6NoB1 z+194B(@=31DxGJ#)r0p>fQkx=@fBbg?B0L(M|$*$ZldoIQdvBXWYA^Mw8Rac8CGPa;vfb+e(7aEf+hL)T-qOwf%8&D#&6L(B7R{H5 zNYuYZ3p+j_Ge2cy+Dd~5%KkCryjv$$Nd=v$6)Fr$=rDKv;F2}Nu*h9~>B?}PTIPXPzR0=H96QF`@}MqzI_+tW zE}A6cX!1KA7B7Yr)u+u^XGbtjvr|4RlROK0`B0hrIgg1Sc~r}ukIXHJmt}gbV6iF~ z?ok-ShDVP@eI@p8m1v)W$W$?X)9NGyWa&o}V-n5mUp~Ybhc!s*JXsqS{H-w6>f^!A zs(gQm|2_${{?&g#iozE_B-zistsiRziL_Hc2V_b&*wTD(?U!0~7s10j_o2)#!^DpW z1B=+uGglC(CtIpg{nm&Hq!EWOFmS#P{FO#gH%L{x5wpwnAZZ_A=yzqV*YyZR=E#ya zz+zh-vWnJlF5`NapKY!Qn?@jq9M;V#Zoz*b&V*a?HW4m|#{I zxp(+9!4}l$ZQc8lzx8%Eyl#hsK4<-;e(0babE+^B)Z~nN_Wc#Se=~H``yYvw(tg-7 zTM&B5_@EY5DG46P=CQIBnc938XCf75P5syk>+}Cx>SvQq04%MlQf2H|#QJG(&o)Gi zAA%)0v4T>qQg3xcGco2kuQiYGS6KyE;DF}TL4 zTE}&enK?@4+kAa8O|>EhxiB|U;d6{aTp=NZDiWLI8$@#*r!#MQPl*|7Y#Eo7j>W6M zFjMR>S68rIDcqLUl8F+D8DO5L`1iYCzE_Fuvmtp%6gt_&bHK$9$qvcmz`iSaXml5A z=jv{U5F3r29hcWH?X(hSeGhind`{%vb}2c>?WEIiRLkz=0bc0;?z?t0@k{Keiv_U zL|h$y2XKy3Ky7ZlvX1VH6+V`o0tSKLZwJ!Ml`$Us9yU`RHtp&-$NrB8Hipu7FR>Fu zb?l#U->x)Dh`$5I-}@;-HHMUD{Ax(?L(6}b`5Z@xc=LncoCO|~#W)EiIN& z!x5uB{cI_l(_&Ta;;WP8X{Qxmo28b5xrQU<`@(6@L!-PC3UBzFPsgY0&ASU3!uOf( z7u;u)iOMBl3Lp6WQe;%KZ1C}nK5;nTJ(S}w|2-Buq%G7xWGk#=)*Xtx|G}+#-|>4{ z5sWa@{~`R}Tg)E?J^2A|FDQ6M;Ibsd25JdfW#r2%Bjdn#TZ`+bUqW&vAjmHaTXcGD z)F>+FSFP}SH=3v*DB#d3%~7zOFgAVt1gky2P%(`O;_@!7>_uU_ z-vlyqZxTI2u(2G9~pZO#*S(KI(lPzjUJcf;l8-@X6>a-j2>h5m&YjN5^N31t0-Z z9Fj{z`A2K#7^8`k*jz;t=BbWGHwytyiRa;LE9wxFcl3+ZsPY`+snR979!0*z&t9hq zXfYsKK`=ZMAnL$5QhJZE8?^&)QUmY`L7j#3#8yt;p!D{vduX?^wXp7R7FPpBD9+_x zO7L}9P(FQ$#h}Sm1tx1$wYmcC{c%!9D*r~eT`ls#ZsN;shK7zHR2ExV*(7=t%<4CL zpj|il*8U=k8c%#sF`Y;K9^)1SjG$}U?SB{x(;NyZw^a^LJAJ|c2!Rz@t%~SQu_B4~ zLd7KgT=m?nBk<7<%Bm8m+@%F|GqOLc65gK;$-=~9+?wl^v@g~phH z!^0me__p4@{OXrDSdr*Ffpp|23)0{T5i#m&@JY{L?ijIEZzNptF$@70!+kBm{~t#a z&`JAX=vamHQJCN5Q_GB8K50V3SeUaRn)pBt;rAbcD06zWwd`rj1$VC;P@uEiR*FPs zF#;1P=kk9D=?+Kqkq@K(W+&%-%9aG$2Q&0yD%NLy++gmU*i1cFonpMTQiPfyW8lB^ zLn1`bJ*hCm>xaSdkUo87%1N+3d^8}1eD&sgnt}9UTKERNtI0}}+rXfAgPbPJR)&#n zz)H*e*L$tB;sHA`VfLIt6l>}P%pk7J=Wee z-e+^|$Lj-S3^lkV{DJ_E1G15c{cLDZg83RH^!tM+T`aLPL(TN;U3Kpy|0?}J_BIpp%_%NLu!OcAj%J`k`Yit%>b zf=d4m_FBDlgjrUoH^+Lf1faTlQPDxP+x>hKGtzDIwr5JzWlRE|=zUyHxnNv+e9;?2 zw%eBYM#0)d#b=oIzp2_5dDM8a$b*vS!{yb|HOs-@dXnG0i!>J7g_WPsb)5w(c2cjHw-MH z;NRP7IO-)k6A-kB=V3wPNj2%?9+GPsrKS|}IM5i?2R|1+vh?}(&>#;IbS!KF(N6`> ziX{J&Y9F*AxPUGuckcyxQ=v5${u{PpRt@S>8 zZ)frJP~l`_=tM)>>R|u}8bckG)ze*(L3PQNRFp_6BpBcF@deQ$cKj96RH33Pm&m;w zE;zAY580w-gWhJE;_R?gGkdp)$lxoU8|NB6{U1 zL=RwEO1+O#4GE~T$}1kAG__+bJ+E~?ZhzOOW=eBp%LAh1gB94}^m<)60c*cDv!;Zc zs*c3rQ7*rezTQ)2(5d_*S4e^7nq+IS9Iu;@)Dzj&lz>9hR4k zq!*E>E9y5#F6Mwf2Rd4cU?9umapFcDS`$nXmgn<5$pDsR z+^)hX#%n|&f8nBk4)V1S3BFEPjJ{P07SU=mOGQJcoz=5)Ow`U3sU8J&?l7IB1ajvs z>YYW8B}~1Q-ZddO6@lkr>%|-XiNJE*udnX~2Rq}S9m*rjPh8e)vFT9Q!4~ht#;f-= z7OciUnK50I8yWNIOKBUmWBWh<@fQ!!=-xayiP5R`|JyP5&E~AvVQ?4g8NW*UOizXd zwPE(aPWdv8iJqNG50`A_{)JtCJym`&Y^?*((vE zK6gcYIy4HG@vw&i{Y2>^ySILXLC2(<@ona;NMEp|K(f?8%{Ik0Ei3NWeRsP!GbD#i zN+kbBkaPF-TL%7G5#O8BPo)!DS#4@>T1EU8JV%&Q57CwJ={Rn0R|V;6eXo|YSLPqp z{;kipc>XFYEW=7{*~fBO%%{CkrY$x7OZ`RG4#ZIx&UyF!aOPowGOO1K!FZbx<(DEBaE5`|?uNsIU3PNi=UFigW|>CEwvWp(>wpx+q(*3V5EQNQlnjSeG7$D4r4j`nwkH zE@%mOKCehUqWMgpLgf+lXXh4U=*3<+w~U#dd1qKc{oS8_luK(RpL9eLnwY4qSA+R; z2(9IKjl0Mv&jrr~+b~tdk29ZyrxB2iJ4ZxI&xPPkAfkshl=!Q+VT)D1A<(ymudXy& zj!?)1<5Ke-F1q|OPkHqu&b?7%Tg~vAhJeIPpEa?MK@^mcdd0wSME)oFqIw)a$#=_i z;u6#1j$xM%JB^uZ@3^hB{fU9jo}O>^`Qy`+`z5-_iFWmm&2Mv;njnEi*%uk=$w30? zp2N%8NSn9rl)kr4qhDdQm?Y?@T?V9fL!l+5(`Q~nA8}qTb@#7OE@uV^Snx~5wFHmL>+Y8B3O_{MMoe<+1 z+EJ4sIdSn~emNNrbQ7r1hucJATnd|cTnIiqsgV_~OUyfS6OY=w1dQOB|T@0#S z-l!YSkGaIbxI6RA?H7S3Z9{4HX)NJ$CfM7g7WN^CaWxt8?5EnCWG{p&rIB-A!7$(p z0_DB}Zg?~Kt^E;0z1LL&+qJ#_uv-2%@N~u^XaMMY%P6ISGurs1?K74h23?G>^ zulhUgzE5Fhum60x2QW)#ImVARVrK6BEXn>I-l&XvNEHn4In8sq!<_Nip1mkD33`lm zjN2z6i{tgxDTS~@a;yetk|O60XKE1(1<#KESvt2J9?z1j_1M2+L$y~A+|sQ4Ce92t zUu5RLDEuLh-RXeCDwXLDD*AdcC@!u6!nzZ_Eq-?aWO6-E;v8`bZ-95vG<0B~hf1ji zmi0DQZtUmp->wGTthp^#4m&drE2q02uH77dBS0~w)qvV-1ayqah#C*9LeNS&6&Qj8 z39qj%QO<6Y2n+=Iho@`D**SLSMPdLUM6BnyAYKc#u%J>pJ8I;1=8#>5{0|<&1N+tk z+wSAIZ_>ZhY17h!4(d7`;8#Y`h{&iQM>77af#quTXG#Z`H=(-@vXDeV0s>4aJ*tVN zU;zx<79tjAlaZd#z9C#+RfLQ3H=rU@6!AVEwVu5S&^YySQP*0M0?%nGib~k8>qnd0 zd(s&3L6~=NZ{6$x;TN~WFZ5xb|L@^%%awgWWfN1h;N6$4dySV%P2u{S^x8*Kgyla-(>N` zo3V1m5x14)7ZcwMln=AC;y);k3#n^~7raE#XhByNNa@8B#{GcK(Fu42<Q7cf5t#Vz>O(hv*ZzTk;wtDdY2p$dGOAxM=0bJLQd!5EbC3QyM z4|b6>zSrEY&+&D+5t}g}*7X$A^kR-Y@>d5ELt&+@bk}1v&G$-M%V>=A4#2_I%@_0` z?24T7H^y-L_j|{7%jq7^U{@4cvoJ=CXJFs~mm;{OHa@#%sWMyz<(L=hjXsY&WI2&W z?g{X3kL~bk614p|ZSJ&dmND=C4rnH}^}f)gJ2bnS-f%DZ5ClMLZ495;lUa8C+O%k& z&nL2)IzpYchqY}}>b&-&FnK1GrPy@To?=7ts!mi^v-iH~)a$J7LaF&I2yub!1!-E7 zdazsiyH|Hzq~i>_*mU-1uAw$CK4hUE14!r7{2|3moT|C=4kbu#7gLiya((aon|4ae zgw^ugWHX(5pW;npu4b+Ly(V)gzVAmg;adFzumX*j)(pbHAjSFUQI%VVCy7Ha#`2!WRUj3qX$U;|;1)+Di`fR#2(h*zeF`6VI9tz!@nVJ3+_DWEKNXVma&z>XN1e#nz`bac^6?5TrzVu0=Udy}c zrsK#h1!+&cn5H#!9w>ai#@1wR0Z6(_0d!UhxLnqR|Z)+72gY1rHKKa(jr z&iS=ArrxTVAIAG|9bPrN|D_JwI<>t{F>r6Z-V{3o=N$9J6k*ddydr*1r-D5f2>R9y z4QckI%SjfO==jmrY;LPPpRa_c+`SLxO6h^y+L-T6>EU$c$#r&d*OKQ6re=Zjr-to; zye~U5mF;saUWvq7wPs}iQS@HsT9xKrE*9;yzVle#{$*54nJMV52Bvrm$-9TR5RJQ= zpb4YEu39nmLIu^CxK_~-PiYcK-;<#kLt#@Q<%kHQLmzwPVG)liz+y}o-uPT^TNZoO zEjrT@o`lFT1pP_3Mo53Hz}t^{$-s)w^9#tYiYTv=RRusmT>Cy^3-YLCy^=C;KCS^Q zX;UH>3;AF=v^-AiX51j2`)0?&NnIcNe!imodaElgA)MMgU-k*q-I>cQ$&6zsJ<_I58*jpZ$ zl%ohWS>zPxTH~s?WmU07){!RxDkS^Ep)~6i`t4u&MS3lsPJ58ZeogByTe3N_`2L|Z zxY84a_9qFdR;7@s-cJf2IH2Z=&^usJ;B@%5dOUENVvhHom(HS)M!#EWLdT+7(&0Wb zfHu?qi4#X=!O*(`y;n^|oC?=lg+7(@CPk*N-V;3WrMOi>2F$O;W5DQCKrc9cK)zNt zI&s)&NTr(%I*%KuBayi7PZNH{z#1fCD0AySmLj)R)aW(67oJ+fVa@)@bJ*IXn3^2; z(ZV@Oy{be=wv$eA9IX(yS(#@}!L*$mXsL#iE{yhf*e+7J_J3D87{p*^@warQfm_4P z2QM$SoSBAbxefj9?M4BCR1er3Xo4vw5z^$8mF?v`e>C|>j}=5pYWvOtf4Z1_M&j~X z`Qrc;bUPqO!M{do8giM3)EaOoW}~CpZ3>FnFOcy4scT;w83A&m+HEuF4P!dWt;DH- z`_r2V2Y}w|z*MkX-iGE{bAfD^olz?AzyA;H@?!9B90cYS(?!AJ{quT>nxCnguHz!e zaf#9L<`FVFeI#$WxK6THK9MPLa0-K(svF&X(PRPOb)7kDG@aLeVGE=nj{1asv^<6W4{%3DA!60Z+0<)w zN7;{Aga&N)q7qoR`;;(C>O&vv5}c^B0t)Z z>5wE{crltd!k%!$H15I9!HVjUIZ~ej9jA&?sT%mNPIG3eLI#__?7o8qw z3pzH2W6k{Z>y(82Jta3RJp5iO9TVgpE(G<65jT1v9p-D`Z~OQR3AVsR{%m4?G7#;2 z>0MlIA@RLMh3HjEg#ohuyHQrXyw1*GZ(}@6uM5Q0010W<^8Ly|C5C1@TSZ+3VZKwY zh2j*(@;(mun{G9E&VW!&S^RJ^bd}megIjMkis2|p{=&^qGQ(Aet1+2b3Foiy-d}&T zc077H{`-_4IsOQ(&YW|!sI|O4KGuU04<*cCd?K(iV`AX%tfI{XMcifr!%eQl<^P2g zs7XFZ&wTsM-foWB!)YS6oujUR3x$;taT~VIEg5`$yhdeJ4_fTQRl|AFi-61U-~UnrrYc8zBgG2 zLeNp<60$7Q>MQT$N7OiGUZpI63qnGuAq&|a2OELV1C$M>D+~~emK*f zJy+|LAG`U&1X*cp0a#e31U57Bfh5E%P}YtSUuy^GjHBJ<$Kf<2dBg21$lrjf?N>v3 zfueV0RgUUD+sJY$nzEqj65zu>G9rWc&(?lib%ANNw`~gP$;!1arrjJ7NbgSy6`P1- zJdG_>+=u6xCJrF#31=?OEg!mC4uDOeHdSJTs}~J+n&@tw$T7Bthv(j(G@th}VEY|R zDiDnZYOp0H<4j+3T={lW#GwSSiY0QY;<9%0MZctGFrrau?yXJUlJ_e?AWxn+3#~>i zcpvq=chvb+Q=H%Z+uv)L_g?yp-mkzk)&4?%x*-el+PQZo=^g zICl8&+h9CGrz+cKKW~c^5lg9Dw2$HrH|@uyg;!w2jAd?ewZM2++gx% z2mU|ae*;AtN9AmPLT1OY#HHZ)+nFb@woW!3wyE=vud^d9&V~FPStfYuQ%z4L_P6D% zB9g7KmidxUTR(SQwhdq`^yvjtZ1oGK$A_W_d6{UHJVm8)y;eEjza8jjf2FXCG_PR4 zCh@iwo9k;Yb~TitKJ34lV2l(%0O!3|{X;F?7~O23op7DNB0-hV2wBH=V0ifG0qa`} zq8#b6tWDzGZv5U+4EDk(EF{8Ts!w<8XnZjhb~Yzxyt;YmIbFUyexjfzzP{zRQ>hrx zQ~bRC6|sthBn;&m;MnVft^vcszZKj-MDvdD=N%~ps2KQ7Y+GdzAmLc;I_CruHeN)o_Nn-smP<0>PPJdCA4goe-A zY86SXNeerr95srVE`hz8P>2=PvvYrhtkUz8!OU!lc$32Y_7{;n5!16 zkqM1s;@)VknNILo&2D3&34>Ig8!xLu@ekm*UGq*|;Ip4(;)b-}YkS25@cgMxJ42%G zne0W^uan1wER){@9<~Y^a-;PZro-Q#7zMyj#olpY_df0E3BbQbO~y|PBV-XB?F@w4 zaoSPylkeM{j0%P`xP(;8*gp#%Xa_-CAx=S7)tZbMo`G3aQu=mt-!uoowM&djG8 zwn*FDH3jhf?&Vr*MN&Rhd@3gIKp_&wwu+dd`hS12c; zd3{bXG z5&vsj4Yf%vyLj^Tp9$qD;0*iVcceV@Ok(BvjbXzjpA00RF&$7`a@-qU3&5tfLy5SQ z3I2HcFVSWa2h42^M6W4CKQxdE+FHG*8Tz3^MK@dIKv~~}IoS@(!RigknVFe!C0y_2 zzkkI3TMrjb5HE#X@)^PShW5(}nUQ+cKSNx%MkT&kPrT+y_{MCTOk`tZ2>*NQu~*g4 zF6@v+;DT&*NR7h}e0zw&fP0tvw<;=>$5EdXk?6?L2&|Dg7^iY1q&&pJ4_s^}wDQVn zEZR)azX&P>qHbNL)Mi4NiCvhe>vcG*XBAjMnI_TG9Rs*Ceob&oz z;q4IjStfO70&3}^4~@r7!XVnk9dy7I{I;8_DbRkMMxliE9-Q!v3^*1RDm(GR5im1p zU)nSFoi&Zrr-N?PY9Gw_6TiURs_j!swTX!e;g5(@tw!7`q)C>_XgjoPxiaq4&$N{q*cf69mi0<38a=L8GFuXhM#&qWvx-6|0}?Vn~|(Iupip- zh*%n9=PF92gjlRU;N|E&l>PvX;04lr#q9O6U!0%o54V?X7)?LO5swcrq7f^^1k-jl zw|@M}p8)fUx(^$UO0TRj@AtN2x}C3gI1I{-C!-N3-Jj=f)BgZiOk zA;gahdj45K!J#C%dwnZQtLYTUA>MtC%>da(Pxkk7_^@x(Q8+vq`4DO3w5qv6YND%W zwFI@FiHK;?ulgzU38j*H7m}bb2EAj{DfaDt0{L?8vdZK$9`ydiJeE0>SpGH0FW;{! zJRcW7P3sOR<`$Okx!Ir(!W34 zh2!ge;l`6W3IFjYK8$jVAyT!hgWPAYx)cC<8}jI)1!@}iVywApm$2^Sf^X43P4i>D z4%>XMt)4g+P;tHnUZ9UQ$kT&4tnYlBSfgw#MyDzmCm3cUu!g)+{~#-nHunT>w9Xb1 z^Vu!YnJC71cb)Nl{yCZWhT_b+l)RQv0pew^ZRln$J<)YvyC+!lRAHQKp9EOB)oECB zd7CT_q)vDxHEP)j_lX#0bW2}FZM+BBLAf3OO?BuY;^dqmFYs^G_`aQv8&Rh{y0K9V zEc6{n5d8*ReZbM+WfD1$#&4oOuIBRc3;}$2u0t;|7{&4UoF`@7MozaId%uEUwDPeZ zlmTSlravr64^sX9Wn5%o_^elsG1E0+j(!efO!O10rku^V_4F6rNvrw@UU79fb-&uo zBOqsAZ#f@Hrd<+g`EM=x*p9-H)wzsxVbv}pMlrfdzA64!1XV#e;AX+G0{Z##4%~Mk zZ<|hid8|go&wv#?eT#0ctg=n-?si~APb$<7nuFvCw1okVZy2&D*RiWG%(oE~!(x43 zc2`Cl_^n2%4EzSg0!8`n0P2^P7~@i)qwt`}>ZF2K-#(6}>iI^oe8b&Ce2n9dwL!Cy zz6}!9^c46C)MhRA;007dZ#>BP;&ku{jXOl~ zG9*dta^;~m|AP$@#YLz6Z>cu1xC%sUcoR`W-O>fM%1oTF%Ux5}mhUKE?Nd0csj&)) zRXsL(etD}_(xzIS;2CuL0Gr+R)EE<`0=rTg|8rBFvD43n*CX=xGBl@3AwAE}KovR{ zEJ8#ktsX>FEU*DHo0P&9`_nT4{P6&*LZ+WX7ZJ<)hr*cP`&&l<1%9zs`P=Oy87sdR zt**h6Ms*EBj%n@2Z4O-VGC3Vm`U0%Cc_yl_>t9;a=$2m`82GdURlTr>_ zmrg%FhZ=fd&_8eK{jAK4jN>P?0h6Gatec8*29XClpy^!;B=TtIQU6+eVp6xU<8a!pcUv9XZe?Uz4; zW7OHYyFWq9J}X{1C#u4r+zPG;6yGGOiIn6BTZX9_M-f#9Ac=A_7R0;o=ergMAvGR3 zT30JU*yn2#Gq}BXWdJA#vCSC`J;2=(Lz`$QXt;o(Ztr)mjsZ6c#d+eY062>Rz}LYx z_>6Y&Nk6i$4!OSmAm`(BL+&#ZZU*i3j?+9uUldM*woD$@P?Rn;wB>vu&9L?iDm)Q& z-uBI=-6d8G?#b=|KbNV;Z##$VM_Q%1y6?@JIBWu}ok|gH)-MM^a(HowO?I@f4^6WP zfJ3{h?8OLX)bqP3+kJRK4f9 z+LCnDNGhk42<38a>8h=KD*uYR(Z+?dk_ zO@MYmhb%4L10h&c+`3jJyt88g>7TXvbKryNED&N+gm5&ReAeq-7kfrY%%-O?S)=#m zILLA}8^NR%VrhaAEdKqpO824>C|1$w3>eh7A;yanMw?M;AM@flH}Zbsiz9M??N;It zd#NDLG!#bqXx)0W02>Kc34cg2O5-bS&ndp2)|#l!Re+WKPGycnUi-6h1_{W85zjR< z59qrhf1xfG&0F@W^eW!8f;fbzNRcZ_>(!97jrJ`@zi_wtb6k}-us*!8(@pEfxB^B{{=Y^0;rBUB~UOYphC#L3|NxPWbaVQDTy*v*!;iwt!10f=|O{;br_W za9Zau;rnk;P4;m72+tOQs}R2}_o@?RQraLX-|hj3xD~~ve_epzoozE6g_==d->ERn z@U)$Hw(;?FGT+XWhCpor2Ym~^#VY+A9=&`oPpj3$a9`i_g=80%v*kQx66G)=f-oFJ zsYtehRNeo=hQ`zV%i|QDuOZ-eF*y98Nz40CQlq<`7{LbkSC2 zeWRP!B3UMZn6uQOZiLb-ez$@wQ6qSig8L%1aY=+mB^Q1a2lZSw%ha*+=e?8eZ(2WO z!z=JT&@FXdm#a=#;kjR8!3RXBa5rERa8-jxH_@WEmJ7dEStXGn#3tlNgI|CZiv479 zJn==1dGC|MIy-0RVmNMN&rv7HR_faOjL1&zH`>41;+Hk7O2WQ{g4&JtdVhgb!ve;ykZ+QRb02a6V`NV zb7ExpfmS9~ZK6o=qRsL+0vyIu8*J&QgC<{YjSF}YjqB_jxUy@nW8{>?&8IfYkax8O zAIp>*)hl67GAO5h0iZ0)JwkML!roqNxiPHy&1QN$_pg&N0tqDaS(X5ZbMWLOdjX2L zGZplTKQ9I42C%b+0jO@a&1!;p>r?kkiu=V|=DR|&d@Jn+i5sR_=~F%_-S^U*+&`>{ z^tz?Z%ch&=c&1X2XeS7F5~A3Z8YASo!BFII_(*|0%X`QA{m>kbp)^RQbJU-Rg0uiG zek$Jw+pRi@P?G!S;&+LMQy`_N<$7bcl8{K=Vh~p1eZFV1mONN#a8fR~KB-PHC^QcC z2B01*x%%Tlu7_x3Nj{L6(X;2jSeSfw;M+-6j0h`dc09JeTjyOUIjmEi<&aqZW?3O- z9BYq5G>_<|sd+=$X)R0A_u=$N=DojdKkoiUqf*y`)l0jm%}?q^3T?NT+zHhGmj%E; zLB{yfW_YM0BmaR_`t5eJQG%%d1i;0D6JdOlN6eaq3fAP<<2d`g*WOD4uZHJ<)%sm9 z0n)JIax53kGVWf~IcoXP?d-OfiC8bPly6%XHBlL=C6Grs;!M_N4zu7S#Il{m>N zdem%PXF-}P=CCGTi68DsxMgYBF8)Z|%vM;I=T;~cI%w#MSyY|*85#j1 zXAnH~n$AlE=Z5nH<(i@kqWEm5Rp@mR81UeU^ zf)E!P|K(Boi~{kftKqE-~nHu!5+z{YQnrBH_PZ&5R3x!{@N^y9M(8nwYvgObu`jpRy z`$zIGI*rNPO>v~AK1+-tLj=e3%%JI9LHi0)itoGH$tv0ZkY(m)eWpvl1xj*l=3SF}SCG}!l@dvV%npfRB3G@hl{sx&Bx6k zN5+aclueq*4U4Q=k^GdHXcozIK_kkh(MYRbjCayE-I3N$sBLK79!f5j1pkAdXT8jy zD)d5EGN#SjRj0v|!V`Pt?``}wz+aN83ftel+WkBhOXJaxhylF!z>DU=TLZsFQNtHM zs!8i|NncqB6bMXyhr2fl zGp6<*ht+Av>vXZRzX*?*ykNjoN7UQR@X{;T!hw-BpX%H=OWR}7ZRSzW^Fm_$*kcf8 zI_~z>*FrIk*Qt9_b@Ij>cffk7#Y@GTMup^m#JjizE>PsF6{!`-HTl)tAvn!?J^ReQ zPzR1koN51v&3uLnKkg(5!`F>I=l^wtI)}Th7_ z`~qNa;ZNIPKV5+6%p&V+Edp$vZlk>PyF~1UtWGd^oc%-kJ5O^0%)o$KxjBGM$@1!k z{$DI)oIk{2`+Pc9tVlWgz(D>~8igwZ#GIwMtIpK`@0Fk_J>A&+1Wkr5EB1S+OV=9| zZDA!VM8`I8v0$5*9E3RhnA|mo{{*W2|+CA?7V&R5C;CCG&iZ> z7HVIpZIMQaT0&tewCavMx^Z(TeKUMChv_cGjs`aaCgLua@?w8|<{YY+wICW>DMtLW ztWm2@Ar(?R9(At?OJKy&L(ox5y+6eH+9~l{_bs9$yJ7{+-)AICMDeZVypG2$hoHy7v(sB@ zmw+a#Eskk6+|eU?WtIOX?#76y}etS=X|l!tB_wUM|`<5sa32s~Csk;W^o zO2q28NPU9?^~@-mdusCJt3Pp?D3O;ML(ZB~@a4eo0%E5GI_Il>5kukJi>Bq1&OVNk zJeH^I~FefQ8fbXy*S@6rXi6l46kk> zf*f;vf8b=pKFl67zBDFci!v06^Qq>iW{6IZ zO9}WltbRfnZPTUpe4G6WFRi!J9=t>YcUE6yHWQGUNI2GXCe>v&UlpczQ9R-&_xckb znm7+P4P?urGSHEB5*}rk+ccl2;jAY*y??)%*3WW30d{2pw^9m3DXF z=+~ck;zIA{>7N~8N$6B@=&xSXqUTR4aP6a!m^^9skK9`c<_N857($W1IWNKQl|?ny z%a<{SC_QF?Rh3QcvSN_2<=~lhu-0bWW4VRC%bMCH zP}Gr6B0!gt_n;3@3IYxnhbX*W#~)L-jy#MZSEc9&{|k&$Xhl2xdX#GE;+{9sN9wp% zR}$!H?)|@e?I#-&1VeJb&X7F#(HLXD2C7mu$~8Wl2Tca>>B|4Y5n0?`Zf{rD;w8MC zhi0U=v!bSjR<@q&Spp|3zT%Pq;ud4@t_>a*YXrp}6q|)diJ0D!Uw;@Q9`kbgjh+cT z+nk~t&dSgJFR{9W3cLV6(+n^4j+JRU)MsH$mQ12#zfEgwKja+SGN0#YRym z_SzY=)f?@^rwz`x7S8trX1%AA^#?77yvFY768$Ok?*Tz=evYvOzNNPp1J1kYvHb-J zl82-y-~1zY!y>RD#ogm{@tcDL@eqy<{L)_o=*8a&3aqOX!uX#u=#XG?hxR|^G?kX5 zKbR~@tp8j1ZgoE!aa-iE{E=GfR7ri0w_Lp_*5kmpQgi;~q$tKE_+r@wkT{-4$M>=9 z#*mygv}q~=R_P~PL2Ts$udnX%;oC{88zf^du2OUEBCPVp$vBu$&)yj-{(pqMWmFYx z*DXw^lpx(mOSec1ND7kDAp+9f-60_FUDDm`??UhUdCvLHJI?vZ7z{T1 zs$DME>$i&6Xx=nZ=OXccN}FjYC}@ zLAbX$G=%yC5ODdtAv^)ZH)0+FlR?XIq*h<(mJ;C0$qOj#VQyA05m@M=Wb5IB#iGes85yBffB`WHXXH@^l? zTlZLQFr6`UyzU*gK$%^_O+frM(}t7`+UgHQtCDgU5a$rR)L(Sz>hmQgSFS1A_1gvl zw_o)c`s$rklG3~VQ*Uc>S)bMybi@%4=WmhhX3VymR^E#$#WXJQK%VUD+CPt?^8s?o z@Ds=(>hGjEEdv?dVe&A{Nw8gC-`fCY5TbV19hraZh)%$y(1j<;bG!#Trr&(t&*W|! zr>SOt`r6~*ym&J!%Qyr_p7yTx3m1<$ZZ0K?VGXKUULg=tPqZCVbzy#kLNzSP@0c#r z8`k?gRtf;y3%#AJGRndm!0VmkvX;aoky5^0L>>ORG|cFcJ4N|3AfTt`$6+=GNBf`l zy$rcBFI3Yp5HDtXq2y^7UQODK!QrQmjOW`027`&7KM(d1;lz%U3{1+~8>M~=xDFbb zX+JI%w?vy+-s73OvdJWW4gINr)pJIPYb^~Fk{qf{jgRK4m(fZ${j zPVNme?R;1hses#S9NcyZDk6j(kv@6Ope@8AZ=}dllSo0(1Tks(rVzt6?GAV9F^$7z z;Lo>u+kvOMC!BYPWFnK`Y{CDmNA?KF52l#YCmZ>#!Q%y5eHu-|aL~%ROH}?>g1{B7 z6#Bpik<>au@Wv$9-n2}Q(&1;(nvG8R2dM_$Gcd<2(SP@FfBPtr+(jVZTB-EYvSvoK zU9sY$+!km6I0E5%0=5YIGk;d%*^S2`ET6O{Qz5xz%|4+jB zzjRRq5kGAg`bi^jhZ-_`BLV`Gf-{`L(pA-FI`dav8-wvDBARcpEk3d;7`G9x0TB|C z^Y8X`n3y^|=PZfs?25=VpQ}Qom2xTF0hV8uSg2k`X|jr<;Sl36dzOJ49v#49%Clz5 z#h!yVz=6hvrPb8=0qU=J-Yv4yqDwFw_ z@r^*p;_raA_NbpS+N*THO#oZYxw(#hK%V@KG2aR=AgE=@K*_7>!Q}8Y(|=JQqtQNJ zPo9&YXaG6{^T((aV!^PpPx>Ayx*HLYw9l+bkG&-E<;+U-$TO^xZ%9uBFyzRlqL)n2 zE%LCEFwQ(m`EiUEe>oIzI2}|_;=JoyS6KyRNIdpzyhK>?!(WsMUUHfL{TaOqVR9PG zIbY{XOv)hckayX#{Jy)x{f(c_f0y>Z=WymmpC2pH71{#!6Ts|!E$w1!-fjr3PDoqe z5%(sy1lngdk4=w(V$i|OnYX+}#Z5<_MRd^oZ3c-1-R`YcRF-kyuh|~SW2}ykgR)|o z%TE8Gzunl-kebEnHTC{nMqU_bIbWYfbOE7rNvQyInVIKSe?^?QxCge+bSRVJiF{eJ$C4eofNq+?#O5J6af>KA27g;NxMP zfI%TK_0lwAfF*@;j`d(eHwmZcbVsA`H?jtPb*_kW`&q1g4kP!S{hhz%q$q#!a+dad z5?zijh!CFF9m(O9uqn@m+KjDOn zf17$k?uBe3vM(JsAo}uU|4BkPpM<95%H@26e4@Ub6=f7?;rnIbTiRdP}2n2-_kTBi|kNBAP zJ{Mg}o&n!)$4bD2fBzL2_0_+>6FXHckL4G%o%4$Iszti{=k)*(k}e2nX`iEAiD<0u zEkXR2ul3WSa4_{kz#!dgDjbUB+r%#+@yiAX8;`60@OQ#fm1>fA=#>{AefdELx!w_X zHsLP0n(e#4LY58^mL;#}=>U&NhYlFl>_Xc=1WJm}Dx>#2$~a-sBCDAWmzunW@9+Ng zdvKwEg64u;VXO@~C+DAjAw5K+O^ZuFa%w1MlzfGawEWsm)w}BgjTJYNM6lFlB;uY5 z89`ho@}VOJ3J(7M5T6Sr2jb@at78(Hch&8M&j-k<6qFWX>PAGwP_i9FT1! zC6My))4xgUQ2CuuGo+2C>BFw*(@?dP*CFKzw~2Ei4p3CHiM<5fa>>fHSx6_5C6cnq z(}!`Tx1R|FC&gdD7zlfxm08O?K4(X8g~G(1kZR^Pi~Z!B15yos@)5*kdQn6zHNGq! z>o{e>N_?-|m}F_Gf0HW|RUMj=2AU1&2*hwJx&Rnt=Vr3nCi^v#zIL~Kj=IY)Ergmy zySRE`XBZm1bo#a=y~-TCw;1dVCMV(W%uRk$21t?9mvA;+Pk*Q04~vQHWPZ=RrV~

    y}T^(kHcvxbCyjDJ5-x4eF-dN zCLCEFWfo)+Xh!aKK;VNm>)T>`UgkU-9M^@bEAOXdZc$AMl|~2m)|Pn^eEe<6;pOP(6<*eTSgk~R|;_Tv9WyhxNt?+GCA6rjK<_cO>-sa?G2#c+l{ zw_6!f+F+`XE@~(seC6gD#a#dO3qhjrW}5<@wRw;S5TK$8HW}f@t5|Eo4GDQr@F;`8 z>p|wF^%EM43Udg|)z=u(ZiEwX&}fuap6F60BR3xa_%<}r%AEHol0Owt@6)UkFJXD^ z#FJtD5%92s2<$Sf#Qqe@&!Y(7?kwO2QAbVD6u#sPh`nlw_U+fSkun2L1f*WCf?oSy zl1CY)eii7%#({g=Zqc?DT)FdzYBSQA+(O3b@INb$T>hM$+dCAB{w1g|1UFf~I>Avx zTd6ITCC_*R_qFYg-1`##FvEjIaSFH(tV_NVvB5Qe%SdPHN#Sz^mo_l?DYh+=Ql%9i z%wW0PwTGDmV|sgh_7N=)oa{= z=UDr^T7dB4YkWGafyfcysoKv$!>pD;wxbmMoRH}zM)(1X^&`StOgS5R)-LC(mDzrB z+{>|2`94t_DYrp8YSS0PA_7to}T)0_CDF1*^is zr=a8Ir1yIf#WeGw!D+K!tD`IVpJqZ@4L0x1cH^Qm;z$1&2h2$pL!OP^8b%(XlP_`= zbpAo)>EFWI*?3MXelEV8A%dvJejfjar}I^e-2R~~O`2O4H4lEWDGKAo?ASA6=%WiE z$ZIZXz)>u@52I~9h3t7CduxeTU3}G-ff5l`sLo1O!Lc@s$^H5jijr~&Ui@l87G_%s z8X8)}$K1Qm5KB~jLYAgGqx_*9$^Qe5@7_&C2z37oVRh`u=Y?aCYx#v=9(B3KIfwh- zzv?u`$S%3ctD@Zs9t<_I|O_w0_ZVroa&$Y(7^yl7G>Ut*8==r7kk@g zi)vUfIpNu-EHQYl`wH1B=}5LTUXY?hK}sPlHt7(t?0`cvJRi~f8EeKeo=;-rSU#cR z%ODwyWAVD~8y%jet1wPw0Wx#4dzJZ})p_yN=CvE~8Iqpez>tImG!hN>oEfN_Yq!2J zA`)ABbLPKiR#A}h4@nx0heyTj#?`dMGAJLD=SNHI(1jdAdO;cW+;EaGv%y$G$Mu@} z`VjU(lly8JQM}1Jo~e3TRC(w1qPtzd!Bl96%dt3Kn5VvgUJ7gj5N%NtkHm`xbW{ok zs`$rwv+1?!(o=Btz&WXF`{mm0HPF|KF!^k}8iA6_=FME!6jwicQOdjFP| z>S)N6eK#ZB?no?ND+XF;@K>JJ4d)dPrw0*22fQO|Rj->WvCnuU2oJvfT*4CgE$FTq zK*8tmn{$Nf$Lq+*-mrkk*WO6uC@`*13icW<17Yv1!#{p+MMJ7pks$TMaZn3zqw0QZd0Oo7fyC2bdZ%LtHn&;O_I>=qkjgM$L z#oP3?RQ3q5Ccg^PT?1KSiP_oBRW{rmWSFwMF}o_ts3yoex80}-4R)K+h2rwX*+SgZ zP*l_8F&epn0daAC>Ih+Sf0oj%O`VTkBa!{4W_IX=xb-7jQNh9#a0 zcjx4+JAq-OJ|JbOsho2C{mhI^D)%SKTJ>dTv%~yy@J%Ub!fYUJaA4&T!JXBRj%4DB zH?c+m5{Be6>drpUuwhovD{ykP+_5`JrG{V$P)bkgdU?!P*6lw@cI`6aJS~x&?gKiE zv@9%|G-id3zqYY1%6D>-rE70HNBXH;u%Ri3$)GDe!igZ(Gi3HDc~muelOa+E)CoG2 zOSg-cH;4?&CxElnr`CA#Y=mm;yhsWC(JdREs14|2Ir?Bu?ECKkKSEvRM`N*wpKe@T z6!zs`87`jPwmez=3Pb`^Y;Fhwg{)J7#%BlWhR0JZa+tq|2@?ZaKu*l_yg;`nyQx8W z(PK+{2FTEFV0c~m?E#(kGD_dpd0@1}5O(fI?_T3DtsfMsp$MpNj0a*9xhMLIhLr)qthPt2oT^_fwTwVXl)`2E-Yx zW4}-zZEKC2dZ2DDt=WGgaZ}EU7Kgeedb>-A6dy63l=hh@RLW=Wt!%-R-uY`5ZJA$i zD0m&1vFsm#y!eKYj*#==!45r5;&zBsyu=>AA(^l891`*QTIPp~>k6hAjgAkK*IUWa z{Knp$5K_)r*C~6mD|6&jSJMqqkZ?EB=Qg|D(E9V7ns-J#5*7QH9aA=dCS9TnQ1@b&NnjpGlaB&d4qp&%{He*uRF8`h zL+^VDZQ~n!->HX3+bjN=7gX3J>(Xc_)vtXBdZ(6%0kIQEy@uVS- zfBnx%3G&uh8*o2OUh3bbC;rMcsZK>4lXq^fi74Yc_K4A4Mj)_5jci^$$>z9UM&YQYWh0*9j34~>Aq)1FOe-p4+RHQt77ou`Uw-u( z*hQj%>KAyZS-t8opm$ZyoWpoSs^fqb^a28cAzuYxZD_i-SY>_|R5pLNQxb~RJiYYW zq;$#tVehnnm*+g$UM=ufXTAl=Nt1eSFTu~HU}xp@g6U-fl_yWOSY1U8M^-F>l2^ai z{gjtcX9R(gJ-%z9C!Blg_ATf5Pu_DbbePYCd?85BMVF_V9;!%oPPM5e2BqF?g!!s1yuqElpx`?FrxOvSMn>laGYK-WS1+V0m7(Zb%N=5#f@8fL)s-|7UOjicoWQUyLQU>FXTjKLeQdlS{8d!8qH5N}qf{-{6 z(L5Vg+_61elek8px)Z&NxEpQ%DEGXAZ06i_x4{zB;p>u(GkrQFzyi7J657jK*0gGv zh_Hcluy|rUFA*UmvJXi^8pWuA!*vqgb=T7#L363lQhu%AO7YKoAq+=}ba$Exi7kNK z8Mh!4;m*_LHk8rG|o zCyFGQo;Nd4osb0C+sUI}9m0N?=vBdeVkoLo6OIjk|MW4!fm6L5)SUinP%kxkm#Dv5 zzf3A_{`NYv?T8X;SEG6s%RC#`FuOn@RF4lzxj!l9lpaQ>^yBvRn#rgr9I9_VIi2p! zXu@7Q$CXV_(ZKzZDE@d|a)FM>kIS<8f+E3n_2aSCFvi`?jmY`}cGVHgZNxMAP7@^c zA6>+ztVu#%jqV3_sn}eERDhF^&`a3mQOfGB#*dU{S)ISpV}j;)KDR>t>HG;|z5`~i zMpkKN;cxPSvI=MLI-+vFmin_hwiMPQ;&?qke$!&)GXaOh!OiW`{x&HchL&v)b-D9# z(?&&pO_(7($5%lPxp2b{vu~=!TJ+$2myj|->d}(W1+Vm6_R1tTd{LQMjh^1GN|gE- zW@R#*Y3F`-{Z!P}dWZG6QW7LSU|p5RS1VIWByHS}{KzWL+?Qd=g5#L0Na-S9-Q)$# zfLd9ux+^pdMZmD-`h>A03Rn=RHy#DBsH2zH7}???A@q{QuBEdc?u^PX$3=SV89qd- z{oMs{`^gbtmPR9SU*a)+0kZt^9|w}Cb+3EX>`!Y)A`-Q(i@ z42WXuGsfS!Ah{{Fp?WEADE~Qa3Meqs_D-QjmW-rLe4)>?Uk{d+VI84h#c0rWpc5e= zQHEqT`;{u-p4}zbGa+ZTq2a(?P8(tkluF*g*$oU+^g{0Y(3rQPt{$-CU$*FHWf8|`DTuucbxYyA_upOC?%-mTN#ibsfZ5|QpE zr{j+6i61#N-G0078ZyoOM&s&l)5L2wvJ&NISG1M}x#YyLJi44)dQe?-Kb1qx=pq=M zjX;e2&o(1tPJf7z8~26K=yzvEyzIqUNUN!~osf1psNGs$7DJD}J*@K@K1LJ#epSoR z=TkjzE2H$ZJy4Np3}gpMF%1Aup4mir!QeaiYFG9eDCV+&xtMv=Q3l!fp z@?aZ^kiQTACu|>kjc3(qpVR%XOA;W1+4W5v9|u{(eh$7xB7+I}SuYSj!^(&SNu=0vPyv!pu9SA|D<+h7;6C=-NE3H+GY$ zr4I$EY4qFQP7Pb`inQ;=A~1rUUH4i1!l(qa7ewH>WLk=CTqWy%oq$Us76}8h{kGoL zSUP>q2hSM1<_0|G9ELE0WDa zcz3=B!o>P$xXFiU7#3#~6_l{qR_co`pc%Q3f4yJ5p!#gx=?f^?CTgBi+;~ZftxQf$ z8LPV0Lk>MJ>tGlq6BAyY4U3fn%a0j7KeYav5zpKGslzr{vWWj2x7T`laC$16fbyO2 zc#Jo9S`bNNX;WR_RnIxr`TFRwtpc^uYNuq2>aU-Ts~25&eLc-)u*l9=#G(RF`PTss zQ1Rm~PECg^ErUG5p%WQKeXcq17Mb>LTpm5oC_Itp@%a*Npc-CSD8Rgm^IH)!yg4Iy z&)pJR=U}^g#P*@zkMd~moiP`_2Ir&e-#rD?jaLb;G1i$~w?tSGc1hdBD7&KWhuvsK z19kttUlh;hIfBRP%$}Ei2rpX%=03YP2g@T(ktaX%%8$jbZ#{@n^M&~CDn#bZE=M=8 zqv7h8nfjQKVjYm`ji{&~=GR+mhu+NlQ@{0bAfp+E+ls=?h0Ta^n^jXf903N;VSBrE ze0W_QKKFAeDD8#CH+9C8>}{*;VmjA%RX%|v`o>`{>Cewj`CBd{u6_wMWEtOxaZ96cJ}wnT2{aS8Hb*|BD^oi ze4T~8s!m|y@n1FY<1^n(q?4^q!ZMR$>-WcWPwK?dRtJ{OcjnMYi9Loru2wV-a^6O7%N9VwZnYz^wBQM_RgkDN_Vg~;#BCg z@~iE5wB%#JWhyAD*5H1+_~)PdlOT&x4v&t0S=$1mnDlvcNM@WM0@hdvdaP5CDN@%4 zJZ4<${=hB-Y=@@fk_Qh_re6I?Hx&k6{{!f5GlDxZwf@MpXb`%XPCfeI?fYgV`tc=G zFhk<)vw_bkH5%BSueHEUW#XsfP>-PcObOF+gAuEo@r&;Mx5)NT_A^7|sHu{^#=*rI zw>vluPNbMMp&%)}T2|{mmuC|GM3QYCOQ+{*LoD;l>&1P0)L=;C*wFw=a%7|`8 z2=g%lq@((;m-}=Vg~IP=%}US?GkLsj=a$yNf^y|nDdWcV6}rYsW-oZ{$mouCz>@Tu zNcvNSqy)4){P554r}d}!yI0NI6wBx#1Sw4(8$Wbdhtz-B|LDC+*Z@#?bxH4W*=VHa z8I_9VnAPGq?49TCvQ^x9SVM~vkE>Nsk`qwDYTqQ|MjRm{mMX1cppyOeQiZv8{VCAk zu=@b2lFBD%4NJz(t)O=Mb0$ER_5rII%NBSgeF2-yznkb3#OLIASSA8!$_ZOy>piro zm64&K`RwuD>;8OWQqwAKzq+sLC6ZY)NWt=#O;$D19&jN(z&8-^7^}vZ;)2eID^L9 z9O94kx`ps35EGqlAz>=$2OB~42m_rX!AP%}I80RbY{OctBWVlOl$lgvl(VgmI?E|) z57ypq2+*&w<>0RoO_Y%z+9>e!R9H12te!s4dTp_u!S@Ax_}t}}$jNr?B=fS4 zcw0awQjhp%#7LWeV|qEsOC#vUvtS>iIXp(X60Vz~FX;k}$IqdY&PI)U`1Q|AFAM{R z&bN+PaRJL0wzgP?k1mt*oz!_5nok*TsDW5eEK;O3L%L{;CfS@4G<%#_De>;hGbSQT zFRlZh!RWykpyA7UoMrNN+j~;{URjBIym71yNFR=#t&sZ<*qbxo!fO*>`%)1+PI6v@ z8KxJIQz3|6d1HobZ~MAI*k#@D4tbo^!f>3Bw{-t3CL&dvh(~eR1K)cOO2M4Juq(_bNeR=VhPK z`FV3P2b^BmPGT^p)Z~`ER-^5-P?h?V2y%i~d(?{hWXa=VMv@r}M0k3F5A79$J`%1?|!7Q#W&eryVS}Hj#&J!4g(>kDJOBy*6G$^5rQn%=XBV z@|J~%3SG$Y;r&B_<_wZMqK?P(_Ki|EmAd4~Mr1(tk+wes#Af3zjHN6TKW?4l72kp_ zNIHf^q3PsUILh6*(alZW+B(&FSPU7v>%g0QQt~*)BU7rsZtM? ze{T#~_XwR_BDJ?Q4TlH{=47d1YMp%Pp-baQlh23!5eIe$p&E}3in#Wqjd7vDq~`RXhRehviJ%$9-+(rcyZb(Z|S zp!2oK$w^k0tEj`Q82K;M+A>cPFsx3nz><1mHg=)mKsA++1>l>${)5GW=k&KwT|gw? z!y3d@E56~b+|?{fqh-)2sp+vc2Ddl`sox^CKsvZVgbZCCjn8Ak`sCw0ELG{;L0wP7 z9d$WdZCz7TZh*g!G znw7=eT+_S=WCF6^U)6qaRK|Hh&^j9l)%D&$1l9KdP(otjm**YUiT%=qWq-$*!8{6* zlX_hzF?=%D8C%vP=l$XEr5@=2RqOFOS-O4jCTNa^?<#c$_OctWWLMsWz^;_*Ga3g# z^o6gnu4bni86d8AY*oQLZCU&IDva<%I1%%h`fV5%&+$1Yu|;yedrZ!hUoC}g2+2J7 zMM!P^+V%ymFb5ShYP)n`5i=Ry~Z#_@2KfcFO z#ZP##Q%+3Lq^9kV?G7@%o}LvzrUA9XcO{;nF<_hYbiVdD>XcZ|Bq7|qv;~3B=E&!7 zc^cd-jMT3n{=~k!QSB?YMLy_-_|%Vi_+vH)!CvmzG^t-YFSj7BCWPSTF)IDE^=1F8 zRLon{LyySSjdyu#(4w`)_+&8%L)2ZI0pAy7gHWC6md++k8%AXB$Ii@5H;kI61BraB zh_BFmMzA>NKn&M9s8@Z~&j=y7jC zXun65cP>mt^2g*(b#X;PSxc{F*xf+3qDEH>PgvtHIRtG- zABKMWMKm0O`8zRi5OllUl09B~nHDVjC>0qb46q&k8}e}?p&|wYR-3){uXW2i2@6ms zB_KyZLfbYqc)bAK&!2>y!co6(IxqRz3sPJ>zsQT?oTqpcy8&{uskC{Z#7PC-Is6 zM+{j{+qq(S?YQpXmlAW$GED7VD5JTbMa2M5+~bJF=3z5m>cjPr7lJ%WsK^HQj_v)1 zfjZ;##%A=}KVR(THGs(F^r*Waao7RH#mu{5t-MwI^j$P=_+(a3si3HlBnftQ4x%F> zB9{3&;bq=f63|PKv*`#lG>9aIbMkOu5R#(!UFN@|lILlaO!R~}4GX*Tu_M9l2J2Yl z*2~&;rEYvqF8d4zb9K~*9Ud-xjS(+N;dRGV|2FseH~BgKniZCy%9qYgS}Q!im%4(? zUhcOVMr`jWrQXCg4b&Q7;CI$p*4=X_TYc0me=sV`Ypz3(!+r>i&WOKZdwZ}WH?6jr zUB>OCbi&@#wT^TbNqTwI&+%5X=@&o~AN$5B*zXeY?1$w-_z`APtjt_$ z!~K|8d6<8sdv^BrD#zVTAuK&|Jc~FvPhf|EcB&GnQ#ttV?TxFJ+hgQoOWZdYT{({@ z)0;HvuK`5Qv~+#owBF#f6eAJWaB7umg$*dkK&*T+f__#%D6*&Ah^5a!h4j@%tkOF8 z^@ht<#=j|9I3~;kBLIgk9;qu-35Vm|^=JJYb{DosT$v;?Gu&@>!s7Q=;x7Qdw z&Kh{7;K-QMbUQv`2$~?>Zox!*?HQ6Og}H8j-i<_mxlP_ehD1B4*MQT7*yc;#Ne`ga zi?p;m0JajI3F!U>*M%*pthdvHemya0)2>uXy_Z@S$c6;e;V-qWA`gk|n^Qv%} z{Wwm$*KiVKK93e2j}?Pla11@|!&$p;i0{eC%vK6hfok!)j@nCj)IFiwnIV*$qGw$* z6~@V5$kV@26VTRp%wVfL+MiF%o+B_La{5;~<=Ua52N@HP&=*&<+6DBV+`@%-y&b0Y-&R`BM`As{S70|zHnwfTJ_;}ey(c67#{2-GOx$c;;bYTlrgr#;b5Rp>VM`uVPp3`IN2VtI~JUvy-* z)NQ{iVcBXVL;N0FJV8+siu(7u&n;8add~o5A<8dT)a#fKl^{FAUO`1g)-d=(6moAW zV$g+LSVm)Ttv>bBdz45wDZWj!B7Huc;>-Uqsc!fghHWx%3@FB%>9*h!T2mgD(mns= zCH1csfO8LZ0-**FqivK`5f`ax6N;ey3p0d@L#dv!W1)&_nwN>Uq=CE*6!r^)5qv?2 z#4=jDXNO&6PVdJLOo5IH32Pm1()3vVPt~tn!9Lb!56;wofzlHSZ{{w@!WV9p=wdct2-A1?l$@sk;{?>!-WvKZKPli?)*p8&C?0vkqDLLN zZ}I!xl*A=~etOul75OhEp5;dX2OAkoorG9eqOT_${0WIIn9U=vMohcF+s2*dMCVw? zCM5wH5`ED36TM+&W_45tY?obS60p(q^=&Z>W|0IH@#f_{G_Wq&{D1F5EVR#~=9A~m zSSrd*;lTkZ7z^+cZ{qm^h#qpF#w4#`8kj%>_NO=E>s!DBp}2ynR~3Bs5?J?4B&~isSw&^(ZHs(metlW9 z9LgdEh{J&6W1rIe4&wz1cmyNT6UgqC5pBT{?Ez2N^PyL#h3<|+0{dnYOx5$E-(64W z-)Ei1HZE^(WqRHjUU%{|Vg+uX{d=eXmVJNs-)BS=3gsC&-PM`VO>g{@LV}ue2RaO+ z53`j!Mq$ZVafm+lFPTc?*O~4HnhYCB3h-4n8QbZV5!y!DZpd~a@3X&)Qlt>YGQMJ= zbCdn_P5DcCM{~;6$9BxpwcI$(a92zriv#TKs}=l=r zuvC~N)(vFlyl8uMo{RNlWe?{E{8m$MJHIM{FV-8;EYH9H0asS7Sj#jf1*8gtFK9P7 zeBoPwnjNJw!#ps`IB6K4KLr95%sh)%c>RzKE2jrJpx8x2WKpTu~L?hY#NzQdVoc)CQ(NVkcwGX^l>=gBD7L&bdA2 z(g`m12d^X8zHmixkuw_rl4U*?CRH7I#@}5e3d!slvvU+`K?VAV*&4l7p?v;dr22ok z%z1EdU(_`iXclxRWbuOcg(Ab45UQdt{Z6b>r!05LhF;x=FV|*g8x0%2ER$I6j$=9y z+xWaJ_W+NJO8cq)d+8+mqdiEs*#sqKA)mw)Szjz(fzmH-#8#bg1&99Ybt`I0sDQIU zVMR>bnPIZ!m-rhA5IxV#!}^mtJ0(6b>T|kRDqg8ekZ^yk#FrNN_Og3OrG4t!%<$cv z?_fAyV5tM8QY0`iQjfVfbvpnmho_>YT8BSg6STGvfh{zk^hSeNd7dU$H$+y2KRQAd z!7Zd<_w~8rP~gBnS~}Y;0ba3%ckf5 z2k>0rW&K|Yg3pQwl=Q(>8r@|H%k6x^?I780R4O4cHU{b@Eq2+4xhK(rWDOOZDnBY30!KZyK#RqbD#0Iu>@brSKU^>Ido_$k<7( zO8Y3;Q;Z+;uzI6P9oaEOq%d*YGX$+U&wBK&pWc-X!io8JkF6&rHEjH zu3##tYay;u9n{T+h6b?<_tM4v0?HRT+&_qZIAV4mdLit(^~Rae4P{!o{8pt_ zqidwe?#zNFC~m~^=87cSRa61q(U{6xa>GEX;=L_k35C3G$TxImJ?7oXib*+|B3%X@ znJB-;bEaC*(%i*=_VF7i&)#9yY-fb6kELFRi~FE?s=vRP-x8!%fZ;uAF6rxXyh?1I zXEmu9;En;$t?HzP8IxP_1{tvmAMj*0H6LCH@0}yEtPuemFE@UP8yQ{s^tX#^sB+`Qe;=-U}uk_e@7(bi~E)=N3C&O>> zvhE;1$!X3uBA&qSNA>0%-6@iF>1y)jD$5%UaN4Ru!4jT9+&I*5yFSs=z>Iz)DN2#& z{=-=I8cEm`qa1L#Z{GbFPm}IR?@UDqRfZ=McMeGL>Hoc_^}&+WdS-mwT(UjzyR(uQ z63!GPmZL4NX-0aQ+#)|AHa3qg5vTSg#wDOuNe!lYG>VBJ>f!q}oSn$n_Oo?$1Gh`f zpWDs-+bcm{Z$USp5I^rsO>bCVtDq|gDA5#H+UR$Jz8D>v4-f$C1uz|bg)#xrWE{D= z9@;kO>^CsL>i|>qwaHde4{omz%ohFazot+ZD`H|nUTB}#H6nE=l zr!?#b3K2HVIC9cN@&J8IZZN$lIjV;F!h!(1>FD#XPZjr$Ywb`pi_KNE#qR6eAd9;9 zY@N92FAbJ(d-?qs$!~`1RbgT1lyo0pmHpahhARZ!C(3wJuCv-l*p}(2qU3YoyI>@l zLRPO?ZM1<-8fW+<+12_g)x8iN?&LN#{5R5P zxa@bP1v?-6Qfg`m_Y_~7;k^ty!+$I*bC~`w&+y-%@t^beCj+^WNK0o^s7G=v z>MQeDNTbDZ-k`uze<1k!`R<0fXVfl|$~Si?k@PvYN~`gHs)6nOot5+&>UM0$;nmHsKcaC5#oe;+RbeyQKG+azy36`Fu}B-Es#Gw#=O?~ zIY!%Qj%#>f^dt!cSDMZSnK)>+-YVysOern!tXXymb!tI=<~2~ zS3QI;5*u&H!~0nxxN^TNcgL=o*!plDZCITc!#(x8c_~sv#d0%8S>V_yM6uNAzk(nB zpN07!j>rFYR{s1TEQRDujfN+cR;DN#Uiu5WGo$WWs&GHH`MXG;H&m>%wJ&C@W%>Fz zrK_9UMp8iua!OU!xsbgBa1?sAv$N0U1{ZvYk_tbWGv4m?WNl-AnD6X%+fR4%i4`}{9yROi9uH;8<&yOx#e zgu+UAcxn%yRZS&m+JHq)*~_inrTJPrY_^;XJ<93-@H78I|NI}H;(srRv^bO`nj}Q} zbBR*qH-}kLd7n1!Ntw^FE0V;}bSJ_)AAvPgrxm6&O+C;4tMnB!32XjR)SZ1zI22jJ)dA>DA7{b73&ODfvFU*3?Xn;mE(;pv#kt zK4E$8l}64h8CQjg7&j{5Smhq zgo;ANujwfcV{?ynMUowoxfF@QX=rG`dC{rSi7#6nuXfmi79fIT;3xV5sS?23(iXfK ziA>U^L;ms`2|Ce!41%SkxzY2A(}(hSQ$vUe1GV!V0aEiS-2=ICnmPKexBTFICUT{; zUOcSRoCnX0eh^8&FL_a{s>IA^c?QDP2Sl=$;l%VM!puHQFLX2Bh8JW>i?>8Gvf2Ji zi4*=GLgK&s@Shv#qc57)&>%p&S(CiQ=X0%~h?Mn?UTOWfmk)4|<1Bv8sSfhqKY7&B zWnd_h?MI@*92uj}9hJA#%IAEO?*eN1BSa%ZI<%az9rB@k{2WN}uM=sh081_mL=Ijk zm}2hbYz;P&<{@j|OiOOLMDj4@uM;5+2nD$|F2~y|HNhi7|MwX4--7ke?TLklrZc<} zQtzSnjqJFFSaPP=444dD& znRVQRk<9~3yLE+b@m^o3Fr$aefqgXFwbS$IHztb2(NpiP-hO4LW*%3~QEZgD%Dh{9 z8mnBWbz1tlkE~0$gL-@>%1QJgCRaA1PgT!{v7ONUUN>t#sMm`DdNOZnGQyYJ@YSnB z{Oh;j4$V`!6wF>$6Ab9f78VwKE*JG{%c*c?1ykw7;oVV42p#J}Js+P(JaM=_vt<>8 z(Ep+*OejB@Jw2aFzlJruqmHJq8Iyug?$~Qok2amDno4CWQH%Iy2H6OH5W|#_UZb8M zg#lWRrCN?NMyi9`GQ~iGa<=ceoiY}Z^LyX+bq)N&;B_{vw(w^73gbTDW3Ub+#1a6U zW|~+FRN_RN`vOP4pk^O!jkHZDk0q-9Ump!{SXtrHoJV!}-X!#?@Cmc4b2~}HI2OEh zd=*ucQ&9JEb(@Z^_&Ie~%d|SqL4l{k=aV5C>L9O7hTZ2BM@R1W6Uo?gNlhB9!7_rc z>F;D_gy}yEMM(?yjvJ;VdX3&ZW0mdIRY@~2=FN4NULi}i!`)&vfqBrM#^;%Qc*bB> zK4NWiCE51OC6&tQ%gI}XpM~M+uby=a$yh#pkothss$TWN$IJIsK@>*$kEcR35FHhK z^nB51Y8fjdk+dgihUS<%q1o>vx2eFQ(WY4Y)fNZ)4@L2gOHB8C-#4shbSZ=+PnuOi(@5raXk{s$aL2F9+c1&;c8Yg3wBi=(b32 zqVgJtfR(NI4R4G-;qQ>vh=2>?E!vq+uZhvmWd5HIKw3W%ZwJlTU2uD0-^NW7G$D-i zFO_Yz;RVr`DFZS`fjI}zRD^J@sX)M z!3r!XAoBrc-@Rb4c=ZNnU=SWpi`=T|-tpWxoR5wQ#scg3D#3N`~5EU#D9a@gO>&l)tB=~ZA2-!FvrWdK**rXPOtg9REN^zrgoU*{1x$l45Adr)^ zxr@;g5Sx=`h?~3^rDVE6oFDeY#KR*9EH0Q>husJf>h31s_^AGV&4esg;9*n)BQW2~ zu~4*MHdAiBeGY%zqT%KB_V0VWbFy4;@JQw0rY`1GJ40QgQ~(7P}usVk z|Ga#X(V4(b3Y7+{L!8)9PY51ZdRv)1s1p1^1QqqSt<6`Ue189|SY=T?Lvog#T&xr6 z+t)PELOom|$XMARViL%?B8&!#(+^}@;9lQ_#qlgIqwlqn24uKa2ZmX!h6D9wDxKt- z_<~@@+C<&cL5lZ1A(%TtEKk*ZNJda?y-M0P;NiM3(Ma2CX`R6$-e~0a1HdEZ0%g0d zdL)R`pVODr9$??Ng3c~+3g8XX_65QtYh>%kS&Z|dOP)yMSeE4Igab=31AbozR}6@x zTqN2!_T^$|Z(~G%`RjzD%jZWP?!^U&uMpw&hlHY6X|94Z-{db=@qZVfNQ{>p_qzr_Rp`L_}#|~%C;w#>8mU3l@FP#8Dyvx z38K!|tOnmB7_7P?W#AT&FsETCM&qG$d%-w=+l%EZkm##Z1(a?wmhRR3tTJ;WhOjP} z$U+eb5)Z}zdKK6d#<&!__Sw~tQjyIABIq$h`3(iusv52Rn15DKCZ$)CKvH9?{Tzbq zT%Prsep1->VnLr*OBbHfC_a!e@jcC`h(2X(zR zG`)GR0hw0ZS>*tlI&kT|gV5RYd7`v`$4rRtJSQ92B=h8&8|>Sy4$52d2~c-%a3GuD ziF~?R{B`%$V8i&=j^+=wG^No8tq~G4O|O1HnLCV7M4QDbWGzw2jwHNQKiUa$ZA9)= zfv_Bzaz@MRDLt#s&^RmAF+xQ7h;OHGOOU`(ACeA+A6lhHeF=j=1p2mPNn!J41dj*I zztT!}|K!#{xkBIP0B%ZRzx`32>qIiDfBDJ}c{#Q=fndC$kA}G|v$}Fz(~kn*zDRpm z8`0m2aD#*o*^bV0Z=$j4ABA~=X!!%&`hhRFwC~K@(It{#)e?5L`sh}Od4h2XY=6vv4>1h z;p}UOc9U}g8(%4XuOi{~T&h`zTC6Lxx<5CnX~V^|^-c#Qi2>JXN730;%ZMff9LKy+ zpk1w?yyYWMtHRICp=G+=s?D(Qpofa|6)%-n;tG)}x&d!7I{nqD4C;+>DWcKfq@3Hi zQGW#%k)Ps5UV@b@vtwr=R;i8-k+tbxMQQu*4Zmt3uD#g8Loj$G9gG@beC{nVFMu%Z z7Ipne0Q4e*j9JEwCvw$CxCaCEIDN%_BD&!?$nmbC@_X2F3xI#6kA!dt`ZA>(yut6) z{V;b29|Yk!C(DftwBp2)-^1$)MkP_Yv}#JwQE8f~6mE@A?ydz$0W#JEu&8dff9(iM z=p&--p!E#y0&;C>a)ZGyP9#o`7M>sUZyw+E0l60|pc)UKEF!*^e4T^JM?4H#9<-zW zmK_jhgPldeq^GdJYa{pEnFS%8;b3m)S#Ev^;%PZ<{yt{(%Dq!(@RG3MEMR2A1l6y? z{9%Ng;Wsl#AS-I%Wnk~(+UIiV0{a*CRS0Q5c&B0>T_6bun*TH znk_!lZmxJQx1}`XEs1~+c^GFx;AQ>;m}P|j!Jp_Po++m{jQ*h)^iD|tTJx0m_RkJ( zW$N29O9;AWL6&c1;`QJI2Y1L?C%@_lFq#3yrF`*tBaWn793A>D7neA!g%9W0&EMMy z!nY*XZeVjo*pS~0n}^8laGtO8afX1Ld=AUM;dg~fEWG0788D>^gznz*;IKUXJ7@Ef z$xFITfceB*4MP0{$`EsC)_}H)g5)>euol59WRI$y)TWPL``v+1n}u6$jWgPs5B(T_ z3DL%(7-LXATo@Sr&#C9s%CMjdKM?}!{o&J&8pNVq;SFLL)_v1NKxbn#Tr6Mb`HF3? zAb}}Fugw$IZQe~Wv`>I_UaC{*%+@2NC5sRi3>2h9%(7ONTZSHFAm(7gPj8B9OTp8G z_~8-$x&#eE`I&UFS<;!gg!%n?CE29HNMB~w7wiH*&Xa$;RQ*wtnpjP%>h!?!Tg2)2 z*U)rC717ibDD9D)Y5ZUzSeY<`yLb4JG`oMwLN9r|$oWymo664dyRTfXP>7U+6Wth= z13Lk{Zu!k(a2PXR#pcSyugoH!&8IMnw(W1Jz@p1I_WZuRix-xyi{612n6!4%!XH*{ z=&wyany6DK3MZ7T0-;(*!aPMG1JnZneuG-xjy8o5JPd}dtW-MTP}=!G-d;!H3i{x) zY{gw3inY!Ma+TfT4H-<5FW<$ro*owr3P?aTIIGQ*4ERC0H}usi>lC`!3GtwWU*Fe% ztt!qye4)D5_9T1ihwE4K&e$f*2d1odbgSZ;TvnjWU?`puMu(7J&Jo%l1sa90&QV7V z$lD}OpLX|<_-GJ8N5@oe)hZRirRw)0G?Q5E=^bd7H|<3Q@dGCj=(f8DVZqWfYUb-P@M16wiuPX8r12PnzFrF=SQ z7_W`vFZk?Iz%C5w9>(K^gOig2J7EJOwXVIRd3d{ST#RCgzgg%<(3uaPz>ePWOz3V^ zr`fxfFUxgG?<8ggjL>BFzb&JGOivT-u1r8aQT2lu6d#hmx1x7kbsEHOg}6_Mc9x9= zztU!i_CEnB>4V;7m^G24z(D&CB@as!0@L}P91>){1OeUnlKq?lW!?T%l*va8V&@Z} z;T_at$ZOA2A7!LtOn9Cpr+$FYn4?zEn;pgNE_SU65fNN^&UcLZj+0TLadPxjZ@elsT7^z{4h~SW!pTV| zzK#fGv?x(ZPWD838u%n~35_eOrM$OY*LSdi#@INQXPi&#&_8qtSaYJwk=CCN>q+9q zd)oKa2DHUQ%`&SB(ZZKZDd<*2UaF&30>0+~*OQ5^0z_NUtBW)^M{loj%W%0J#WMoy z{c||{y7GdKJs{w&!@y^sonf}`H}?vu8M2$0rVoLuFtD=ux??A7dJ#5Rv`Pij+;xW8 zfk84Q(qT=mt{7Mg$;fS9+j)pCESP+ZkSG6H2KNmkECskcjAcGaZT?m6hV|B4v22ma z>lgI&8*TQ&5&Uao&mNJ8i7cq2zeY0AyfNa`xFN-a*OGnb3C1s7atx*vrm^T&oRsat zyF42(-9qaJs!oTXuww7)1x32ztOKii!{B01v-m7Rhb1~Ah{Gs}zAFChG6WQ&$v#IM zzS+)%nLd+o5q;xR>D@koX{YwZ_D(ldRwl{-f0cL zw|f#0fIkFvWIrZ6dG{7Qsw|B=4v_n;c%Rv@KJs@b^PchKR^9_lmO|^VY|qw4UMD$n zA19<#8g5-CA<#;FvN8DUKkbe=8U($9?q+0=9~WpONv0QqD=H5P_rv?+2R45J*p5G* zh&6_(2q{1c`448yL@YN*K&hROtz_J&xBv+bV)%v#DyD8T=;%z8JW>Ag!DI>yws2 zXs#}cpYUrSEY*Y*!$!yzJ0ow{F=8$0=J9zPh|6=B`P{UAjoF0I;Tc;?&eY_=g}mYv zD%FuJtuZtot}5Fdn?gT!)y8Yc#z~Um5f--j;h#=UuV#T(IQtofd%~R5D>PZERhwZu z(6Lyqd^*kZslkgx{(~}(owH+~(}e5YT|9u7^elP)@bQ=K0W zf%ZVdfx>xLtuE>ZFXutSHsUjs_O3{R0daNUI#2a~TSqp?@SQ1fSMqZswENF#Hz&>= z)8c2sTO~P9{h^AGY=hWd`g5K;1^-WQMQ3q+F+mUx+yGq@U%4F5ZS-Xrj?uDzgt*SR zpIyK8M*k~}{pm77d5abT?TO+Uf|0NAb86JTihhV3fgLRIS9_)^$Xh7ybdpvF-|xK> z-1#Ak^s)R_k<7p`>Fj;awJ^)eG|n?j>HV82uIfP zEl{>~on6=AFo~DDEgv6W$^UKUNVecf0{N`2llrEmoML?6e|SK_LMxBsCEi$YQB7F6+%Us4R2-lwW&%xwm#9wEnWS9`RByqEAa9Ids@h^9$X~X0%#hOE>A|5t( z79IowY)Ij&$;gr!_C_l0o&~L${yc;BBGay5?FnCB-@l#SAsD>CoZqr&B;gQx??ppBPv_3VkL9H=56M8dAU%B@zXc}kV*ZTT2r>;#-GJiYqZLh8#`vGH#}#gPUg z*8>@RC?=Nr=b>77R8(Re|JG7Zl5n;U553KZCvYym4^~8&TA9@Vis3om8uB>x$Dy8p zhi^87@T^E)E=pvd>|qL?4Yc~1a&KI#q?sf#ofMao-HjS#N`fSQQ2d?aKEh-GvJ%5! zN?dx7he2S7J#64!dkO=v)oqUpTZORWRTY~n-iG<><9(U(DgQ#obrr8v;{0$B2MT2; zX2-w@QOoXhu>YKLUS}@ z<3Ee)7(U?c>zNRFy67z1PjiN}$eCef8cKLgob2yu-^0)sU-zPE+Nhgluv;!3@60b!d4GeSoLokBtI)4qE5p2hqS|?6KFw)od8@ z0s=7LYWC}4(faf_$wG>y@;Vwso6&~Xs&gDS_@h<9X}RPQxS4iYdMeO$PGMQoGD5Z>gy|@1Q3^2+*DLkvn^JGztVj!PIl%HjwoZV_- zqyk*#(UI$GH3C@?R<>pd6jefIfn|BA)H{W))c+p+{%A?Da3uHB)f4l$)cat+*onss z=O@!>2VQ7Uk?DgR=sg7mywAfFe=U<1fowQd1sZ#!N=9L(EqUxGEbPC6O|Ucp3wAVI z(%IW#{7YL6KX8B(RhbaJUW>D~`)!4kC5+6{n6AEWqlgr$`Icq&V9CM{ZRGH(p%8XJ zj|=CsmhRCc0r%d$B)yo4hKxAiw!E zge1tpK%Grp4DR76J^7Bon<(2QB(-wzLz{JtwajD0z(a#kixH)Sk(_f!bH^?SQ7Mq| zpIp{X$Lq8$d!%(D_Gayk5L=)PrI4SwHXh}X-cqp-RjbasobL+PP9=y}B~!CAt{?mm+1&^zhLJ0QS@X+^f&`4q0X8{AvhOjTA5a5^O_l z!4xp-rY(3mc;AL7(Y6|rsI_e-`We7lu%MMZQh+`{oDvt@lXTVf@l{{HXKSZHy1KcV+k7 zHZN|QDaoh|WkSY*t@-on(WEW&gkgsTkEsG z2|3WoykO!@;gX*eO5SBHeb_+~c~XjD*nJ?@L?d(vmweCQAL8xGT=^pj&MMA}Sr0Gx zv{!akSyoueA^xomdVYC%loIc)kyM%oz1jg<*LSlpKeNF1rkPP@NaR>FwQtA9H@i8| zBqq8oaUvhnhV*p{Jm7d|61 zR!I>gCQaf#NTX+p*PN01KA5BwD5yO*hV|bHtBzqRZ$$()BG@!yp+X(Yeq6q7cV!aIK zK*@Nhrvyk`esU^jxxNU4G9SIM+L@!N+iIR1Ldm=+RSL9)m)&*{9Gz#&oYeAsnN3Q0 zXAQDemFndY?Z`qKq1ANW-jUI!tJxk;PBGEN=I>#cDF5*gDqOq5Q*bg+J)FC>r^9BJ8yRw2oJC{!l_uNz7)hH^#CWU!-_+35i`YKZu(!+?DPimn- zbqekH*I(*zU%B}pgrA#0g$3X9iZ>6dI|v3o!cK=gJcKf>5u)OJaqRwMpA)efku;?e zt15dkP5Y1d!SoWG=qRs-PchFvF*mC4GX+;L{2x&QFCal4&c!_1n3rb^>L05F4oXFl zXtvG#%^aqZLyt+yy-DWi*!+<4?|zZg$2&YfC#jg$5^lNm;7mC*M&FgO_`SX{7&TFT znC*PM^1~xoBMqrw))NV7z%gGa9h zL~9UeS_(!GmEQ=gy@e@CB4NJV$}f>A9ZmP7eSWGU)?uP0tTmVY&zv@Z6XD2pWw$_o zLp>k8CBhHM)amZBl8ch}*~bzD!jh{GZEv4RZun}n{(bIm`h+3Wwb-p* zu3??++n`!zWi`!uF=>w*P2FX-wAI)8DTfMSSz@~GqI_=usYlhs&>9-vRb<~H8LF|% zET`=oUwhUV5T0Wp*&6GeNnhvvI#~a-*tseZ*qZSnm!06_)0Y6wOzPk%mNnO-S>Qvj znCIYY3i~d6jL^GMSOka2B+n=C7$G{kYKAuX5M-+_jUB& zLqaqXpI}$2nA(O?E%Y%OPU&l5FkHA;clrY&UVp*J31B6(KJBxd;Yyq!8L8aVs!|jW z!3xJk&+vTDjL50`X1WTU9)pY0V7RCnSU`A)Ok`P=mRY)SOATV#0G=kvGIDbAblQuP zzIX0>lulNcvvO+?PXMVu@ObYD`r8H*JkH$vv6NSKgyKPuOF{R>E#Xb$Y z-D1()@O4G~ub|N4Mj+cTlZY0j|1Y8CFRCOt5N?3^F8^aqci1e|k6T$(GB*Eigo;F0 zch?l8TDB*;P`K3Qgmew;B-a`!4WtYqk9|)7)|qcxJa^x#rOHw-$akacFfna6sJpvHg@!= zAUhrq2l5h-q0ebl-Lit=f6iBJE$Ea|Xi%U*5;5k=lYB@;CCkpcsK8;z@(49DM+IRf zbzi=+F4`NCxR5`#;6}xUl}^$mb^6S9uW=vUM?%H@!}e|5U7a?9##6qPAY^vA=P3+aDP|w6P@vR`*b=Rr?y~rB!r`tIykSXiLikc?b=? zE3g}DtS8txC8esYag~0gE7nxeHw39y3r^6kF*AZK9Ba zJpe7*sc@vZm=7$_{40l_*YuEiZRmuEo!n1oBZ~Suph0eN;^sJ0>#IHyX(oU*kACo- z!t$XKi3+Q3X7+s>%gSG(+WfT=4H7^cab9 z1)I#q4#4bFkRdy|j$aF3h^$#5zCS_`u(eAzbR_CLhbDly@cjHdK?UdWKgFjcF};5W z(qMDbPn9|;mLw!|?fCy~+y9pGvOo_OrMnfzz7(N;~}E{NKNS zbG0kJI#1NBIf_8L5khZi#{-b*G+mYu+4uZTd|m3sBetTMn?H?8s_9j$I{_y_+QI1oBtY|f{K0XV# zprk83Dm(&>UQA^13esaTnHw~58{~!ikX4*E;G+vc#BMK$MpQPSG3y`9~ABO5&s473_SUu!ApCdIZC;vvQmKCeY_^PqZK zkD}^%|>(KEE(_8`=qR+kOR3f&$B zRSN2q8MRU8n3ilhLl@INmJ2_P!;utpB@$k#Qr{tk-SE zig9{%Lc`ujv0~~B4&$idz#mn&)s`>Qy$GUmf?f4Yyq?lWY1)pq9d@#Vz0`-xNsnbbkZ zKZ@g`Y2yTA6X>@pqRiCs)B|TRk~ADxM~5GvBn?;BP;MKM@sdj_)cW;@IL_BVk9p~b zx;i3cgBgD)?K*!^KGzj$GHUSAq)9Cy*Si>50wbPw|ZRsO)BQxPnvWO zZM(E?N>*vm*6=4NP6|jDmBO{UK)+;{T#PU1q~?XM5c6-=h=5xNcEZ4`l4pnJbB5QV zsi6O`*4T<^bT{N_%;Ya5c`-$hCbjwldY^Ev5d|B_5pkl4?2%~G_KDp_?Sx60d)Pv5 zOVl^Yz6aWEx1m)+N6$f-UICbgUuku&QLRHMud3IcNCi9>e=33d({SDoHTDrOP_lY< zb)9r#?b@+=3}F|}MG(H{Lqg4p{<}gO==GA#pqd%rMTi?2F>*ZsN2CQ2(X&9VJD%<* zSd&`JdKFuROtR-2Ei2V-Gs{Z|oC~Q728ce^>m=CN5fO-Ag`XQD9cJJBb_7&sK=#Ep zGm}ua9cXq{nw9AhjvEzFRVAy`h%f?bI58!F>}X9R?gi~U)-=DPM@aUEBO#n(adqdO z*%f(=i!pD2YO!mhzoinu9_Jb_ZpP{#=oS*fkP8gCs~E$wG?JaO>XoIs6?*#|=bB*N z@b($V8mV301D3ATJ(KGECIBsn0To>WfPPtd5LNq1zy9nR^~+E+Ei!~dOkbe>c_E#B z(~#+#7u?+qk+UGP1Tu>-8#=S>>{-TKkWM7nqYX3C&(aZ}yezn1V+fl^`3R&A86R)V z7ob4sr=;gqLNm)o9_)~o58xFZ)+j_iv1=a%jDc!q(t8wMeSWe2NHoyN$}%Q=1E6wP_ln0!$wgHwm}S#o|Ji*7D2{NssUOlaXIq!hV5Bf_8K?!JKPi<{$?R6TZr*4vM zMU47RunY3bh_6XF1$Aw3RF`P5QMVP2{AiBuz?PT!t|!Arv6H046#exjMNnunk>(B6 z+Ajr&IW{l%*{N>XPCkw`H`(}7bvDT3FEf?2dAD9 z_AzQ?;9bR|fbOrwXNe2d3;g8A#&ERCen(WpQTj&?#z@ROI*862_I60N-vE0# z^xoJvki_6~1I$Eh2rRbWcD+~%6Wn!Q_P%IWjuJrgol{pBhWR-Jm7u_^`}Cb*CI!r~ z-uH-;4K*yetvJ6s={GH@_W*mqzLb+!qtnor?FQln;#EVGM~%|j&f5jUy1S*?((Z+O z*bQ7>r_xA!=%l7~YuD6Pb~BKhcOdPPqFlEYJJXx?Hza%mWQV3MrFjK^@O`x}C62>s zA1Bx8953!$&BzADpu{~Nwoo%Y3a{z?k&l1={Hc~cH%P-(9eA&kYl%dXL8pZ3%p6^7HuiPV`32fP9RE=RzJI-X|cuqgxoClh;gUZB?GnSf+MB z+M$`Z=&apMqrAww)X@`YHIfAJdmfJd@@`re`Jx~eEd_c?jd1T*jTuUw1tif?Q<<04 ztLgcWvZ2SJ07)@puBFx=(@|qr;iEapy;RGb;$i<^lFR<@ycYKVZM@`LYXnF|9P(af6vYL zf(nWK!OgUN>JFCy)Fbs71DlFG`#thfA5k)NpRSbBK4BBBhY3q%4}^aoF>pUFC zaQ&YjUaJU6bbUd(&Cgh|MIu-y2vC=zWzX#SNV<*$%UO3lOt57@(T(xC_2EBZ`Oh~r z54||}QLP(S|NEX&|Gp;=D8&v*1y9~2mo|?13#{&yhYw-|Otqo?I9Mb?ev_ARDw4S` zk=h3EOi9s~SCO!yZsNnKM2=_6lj5Q+pPR}1wHes{b*)O5Cn4K)wI@hDj}?vO#ihf@ z=x2+=7M`m7&b0027aHHJU57nsux$aXY4wC*i+yk6`>Qct!!M83a}fMkW&9bj?d9i| z1`$!ZFXYi#mMt>yM>y8&$E4bonfLy|XW3`De=iH-FB{|~m2>X%wD-wU9Yo*W>&r>q zlPCpo=u~m;y6LTf2l4%k@IQ?O@s0Wice4^nuhRBmyVBP1#`oz)nI);;>a=Z3T;Q61 z_G}8ge>DG-J5OVoq#%F;aFBq)7*tET3rpcWp2OHpMkHR^Tlk4S8jpCFQOxc{Y~N!( z(6kS7c)Q;YX>4K)p<*N(pBdi_qRcEmh3Rs0$M8})pe87MmA~laogeOesrxF#XZaGN zgS8$xa?xJ+K*yS_6ru7y;FPr*Rz!mcaYzeGhf zE3Z*0qlc7>2!*~I7%;!)U`v9oY$bO>gXHj{ua-)*yll;$exL^o`y?5#|5pnju|&_g z&HGldgZ$NKF>5%)Eyo}dUfUKL)KCDBGht7r#ib*a!8ASvjjTiA3~w&-d)^l5pcF@; zX~7{-ub9-ZiL3v{8n~S2gckhaL9N8GPXQJlUuk`{DB9BC_Avp8|4)BJMbt#Q^_~M1vTnrnd&T(p1M^Ez3S? z9zUSkE}WgY*g=9jn(Bj{FrTiAi$8M60wK~M(g|Nwp7mqD%qA$A*efz2GqWH-yGH?< zFP6RQ{qLB>h8^tCnx~2?5*3hR5bz{zzWO|sf!Bm#qGL0%%agD}8x#}6ZHP$%$)@q5uL4P<|kMns|4JGf&|H3*r^)lYc>u2Z5{ye{+#fOQV}c4NmzKN;A9H)@#mV5pW{x z;&>Pbx2vKY6>CVsHIv%%2YB#%RM(?%<25x1E{^eWu(?QokgMx8`c@FM#pU;x&WS&R zt5g;fD=ee6A7@Q>_Vs!{`!-HJ?NoIjpkjdbOD|l{jN7_6IfO-UQI60mF7Wj)qrxfA zOxC`D3;m)~?kL!Si-9xb@`Ntod|ge zAbk0_ahY@LG*K*Bn=A@6lvaAYr#K`C#@J3*<}zrBDTRcoyJbJx<4X%3R({pj_YPqC z86o}}EYbM+kUGNwYwg0IZA%(Vo-%4WQ(9x`+qbQz^97!g9axC;Hy`JeRl){rV_Wy3BL(Y6czQnCpBRR98 z^LO;#Cj&>h@5it_fA2qf2FYQ+O2!EOLyeZPq+#lcgV36HW#(6RXYaYaL=rnOOAa~~e{6UmcVnw`Y zfR|O*eF_T4U=|4+auEg`Pr~n*{i2+Bq>g>=6%kkR45c?NBG@-mdskyWO|VRhsfE8f zzFb#^;$AZo?zjG2`Sa1R^GYc`L5aK?&TcdM(VOSkoy4zg=k*sFS|)L66U#+a@DL4t zYdcaBq9w}TpjBwNHB?`|_&dC^R*hGuy}>T*L6f}mp8}Y-Q`llnw~tu^Y+Xu&>xOQZ zxdt$;=2lm=5>6`P>r0i@M!NmHJv?;d_dQd6ls~)`y6~7S2oofSVdiXYp(kEur3YI$ zpHF9jtj{gwrnf^+jqQvLd7^K5Zy#Ft8HMY5T1Ez;fnHc_mkCefB5voR0wixoc+1fXXt^Lc&COc|8q;z!YD>Ze8HhhqC7)}|J$TnTl*snH4c zu9oQTO?rqd2s=2L?#;39^lgr%v5)^VnaiY*;&^juzacVvOdm@VD->*F3oT0NY}^f} zHG>c*uz!Oln?OEgbtv^q6?0zqk0u`q-XCtEkc)lf(r>{KS4de+8;l|85}imZf$4*j zRMf;HUr%pyw7I^vv!A~U>UQ^Asim6;nYUz$h@fT;Q12^_L0c)6#NKIfG z3@fy5r4iG`8tigbQejA-h^{U)qHntWBT#wjc;xZ-cDt1X$SVHa4X{Faw7}}TR?CkPhLu@mqEbSWTF>S(S_wJ?C+~2k? z0g=k}sss3T0YZSA4+IG=8G3jmXXGvldh^ao1vGZ7615j>6tZ3wpOK6}GXx{_smm4M z!B8jmu;}1q0!>*-i;=J38rQZ+~%D*ufZN?M4%OD-Nr)i@8X$ ze6C;HPj`_a*_Qn{ErG^leZaK8;#TbR5C9(Aj|6Z76*D!#vx4Zs(;mLZxKf-g;UlX- zpLpv$5j;f7DYK+SeGgh`-8S=ZgFZUa`{UH(9 zzPQT4toD|Db!5BH{zdP-941f#pAEd@OQYbrn^5W%V5PePyH&iEcj(yL_kvttSye|? zXVw$jB4+Z+c_h8M!po%9)Jsdq7-ai+`LuIuRS>GJ3J=n2>}WfIj?@X~AR`X4E9Ua4 z>rMh5U^k@qR;R}&BPo>jESVK0SI9T#-WNlOJQB3kRYuGXzZ&1I`#FSM)ikiOHtIl% z7CL8D4XyS-8}ozSXoRK;D(Y&Mcc;tFefSEDDkrcFG)fdhXZoY%CDj1J>a)Kwd_^T% zKtF^oOe`HQBkvfzF_Q3iE0yGS^jx;yXUyzH1?1i%%5~RTXfF%Xu2vhh%m8DT1jY89 zICrAIQeYMlm{xmAH}*0czs|l>(e`*>q#-1Q{`=d0p0A1b{9XY8LA2aEpJ~fLbpPXA zQ?!ac+b9TsH1Hig+h(ef*G-^uH-b=01YcxR9d8L48QypP08P|(!P3BAIu}w4Dj2j=l zyu6n0lK}PudLd{Je0r`Bcn%&+Qci)EU_ma8&u9;BQmn#~6AF8s08|SwA64+JR&=LR z>su{I_lyS9w`a#y7(dm-OxN1y6~k+jZj~Ahzg&k{?d#c;SDzLvK54(j+6kOy9ty)T zCcH^TwL%yjRO@lDx1l-Poo579$ZRsGi=`0yqk`h`?ZKvr%O8uwC8yC&1)V-DIM700 zAb7jXPuQ@Z0Vi`)M%Dyph$o9rf|{daK|nStd+&IrjSoy@*-5Iguh%dPzMsDOE`u@3 z;b&B=tgK)OAs71|N{jCmAf3+EL8or=mZ22-WPKvkOeW>hgQlAe-Tn@A=Ogw04BYSC z_VC+01oz_ewWcPIf#%ydc0(3h_pXXSsn02^ft+M?w|V`_7s;7`7Fm0*2aT3JbB}iY zYGDc2gw^Yz3vISb`LBN}b)}n2gAq(Cddm)S7yQY(L>zP=Vf*z>y-)4xqHmNdH>Cbo(Gd!Aby2OlW$Kk_ zlG}pbjQF$m+4grGVV4=A5GiUQ32DvyB6d3A zLVK&OZ*Mh{ccq&_tI@cO36j_LrAp3!*5CWX5d;*Pgv1+l5o&t;?j|JrBEw7j`#2?r z2~%9D?hE#s!^^_TbJolIm+Y@k3n@=xv+K4GXN`+A6R!`_0B`D3cRQ!4B<>hl`P#kj z)~sn>-`M?0?0pthtU0>PO@DdiH4mYCg`trpnU$wDs6w~``gl8u9g;yKrqrOH7sCZ9 zht5M#-6aPkQCNgnAVQHZTzbEct^LwzdJGckE-|Iq)~j~_)k(X>Rn=nVa3lV|l|7vs z&e0KV_$cq#QB+ZFBE#TLX+0BZ@6CwD)OSikc0R+*58vV7Z{GMl?O4L@03WqUQ%B|A zwQwMWZmgJ5108-&!4xPiY+nX)rhj?Xe;6}Ew=J}zN5ThoFstxcbk%4Qkuy{72t zQJ%>T%$fcBVJ`6kdtqIDeMmea9UJSbE)TYFUVdpDd!A@!UxFkZ-1W7HgzXVKsp7Qk zTbyRy7bJ{A%*ic7E=ImrZz6-}4{rt^craUA0{HxSEunoZKy&pEx(@EMpJ+#we0tw_ z#!Ef{kW^9sWYr|jYvz-< z5W42x2=r2OjRXCG1LTK*Yb8QLLUHJJ$d?Zq+R(5^ejwE;Jp9HQ$60|BUOETMm)eio z_g5JEV=64H3#uMEt^R_kl6;D-@(s}qP-=% zl+kcc>cY^FjLURx#VOPL5fTCF=~kMuX+#*loH4dqj|4z+a8L1BX1n*qRG56 zsi~E5J}Yaa)Q@`s^F{QTOpla33u z1XDOyyX+D&rv$H|M@QuPBCafMA$Hzlc>Id|MqjLiLS9v0;YOjGCi?zoD%01-)ROF{DM!ne^JQ^YYQ* zj-Pr$am3cm9QwKgzfL^Ygbs+Kr~G*8oDe>-@R{YoGtYQ(_I}Q|{oEr{VV(E^`$L=6 zL=@OfPZ6<#<+HeU@w>p0OYjHkyX*^}lI&M)zh6R6Bu~sePbCGh@#CFF?R5z>SXJLw9N*)LHV#kw?2knx|#9_Q`+_o9Oi z-(|Xn(Oz2eXuj{A0xT6sk?&Ldk<>k1}gs947u<2ZZGyf_oN$Iv)P4 z|7x%#;vzTmJ6uQN$6?k$s5C@DRooV5DicpMfP3`QSOziWc=;go6`%D1j}=|uUL1W2 zbXb#TYC2HV?^y0jXe(sr7+2txFDB__lYAL?h#j6mceif+j>()L_fU!!h0C1d>(pV~&w&aXpnHymI_IY&N`SpPNGMOFQL zIN6zt$?JWv1*->zZ-!6wsl^;;(GDNC!ee|`bph6$`o4ffXVwJnc4v~$C|NtY8y_U< z5h%pu#3A(}gEQ1f24xEMv9eA${a!cFY5$^H0RQNo(+H{7 zjWszigK47PNFmxuQUCxBvj~{n8Q&Rbg<1P)%??SYSTtP;$f!FjoIiXBr`+qJNt6

    (76{*>qQdV8#)g3 zL;FBuvx$;)$I-utd<_2*5%5zK3~omC=aChlvnec?sOBZtk~v$##p7{foF~xlPgGD@(?LW+2gZ{ zi_;gw)5*hb!oF9EMid2iy5@j*8TAlto$~UwmSR3G^N$=@jq^3~G0mNi4K6S*0zwxT zO!<`U7KiGwNjRzkmY3^+|6?i)F&Lw{qE(15H9Baub*%g-_5tIZ^tbbj(33dhg6Ucs zVQy7U#*=|)4;G*9nDQpal)V-8!jyaGa=mxcM0(f~cc}Vp&BZsvyvz5Q!VU{g$^iqk zJ1L?Dl*`mN*kny+U(`d~z9Hm?_x-SYq0@*sfA?UNAB}c+Yf{%My!llQ9?0P899*R? zNnYhbBB9C^{2j?Dox$G`dxwL{g?l}L{~cDFwYD=&0J#YDbqRw}PbiubK3FRW`b+d} zPsC6@gz+Bk<;orC)AMkn{mJD><>lbW&XjzYHi`q=g~{hfsihdF87@;$pt)-fZ;*<+oEd$iq{mjZb_nF*m% zC+f<>J-V_3o?SUOS!WG@Q<&T{8;CHqiEF`B4gI6oPp{rMc1bECSBVDwt4pVhCy5d0x3K` zVIFy2z1%{OF?h;VCBveYeK|oSk8fh3{X0C6Z_c*@4 zF#DRl&lTrdnal#bSla`5z6x?b*WZYEON3W8(=DR)38sECGp2j3D<)B8i69tIiO`;k zzhG>o{oxVXOalqoB`Gy;r#$p4Q!7`xS>9nj89gRQ%quSBQ*ytJJ)&qq;0z9R`L&cy z>qXNtS2yEsU!($or-jhiF;oLX#{NC>kCDpg|X}w!$V;;9dZ$@#2W{V^M7^E_M|*K-t8amM`Aw` zYcZq2uPqSh!s@r)9q(XD_`j9BnTwfE061D;;RmNa5b3wuTuw?R8U(RC4B`W0kn&FL z4&2I>Xi5be6U03Vt#c-7%=Z2&`u?vX4vLH40Nm#g4`Ep|Ig(aDNZi~?Pb z0n}@sN*_sVy`(G7HFS9HvmL$*fS2Z>Lj~<)&{^+!PA{AqjO~5nbv9J^dQfprFf7Q9 zb5s4j?+&O(I!iwL*kn_4Ok(JVDl6^Ibj77`AUK2t{ofy_lv$EDJg@XS?j#|uC0mL( z?>RVC9~UF5#`E__uNcgP9O;A3wx&Dj;W+5bGo}n$!Cj^Ozw>g7Z-gE93T_m!NUeqd zhOl&*dlCHSb zRHiP&8usG@9x3UEOsl@oTN{hYg-;}0taRGRLn&O`1$E}VM#xIX?G@dx)sRJRSz_w+`q~+QmWb& zU%Xi3R5jUX!C*}K~Ud;Wu>w*X=l_FzF+u!pR$y4dg5Llk8z@Pp z)f=aW>@!`Su@G8A#oEt`n7lt<#}LMG5Ay!Kwx6aIZ*85(spO8W-Uf4tx&yByS6>sp zKzzm&C2(VTA`A__D=$h^>Q6QcdEV-_b83<26jOfj@CdaLYXXMz*k*k+=I36AZiwa^+Il{MYDufwwo0Lj#WqCMHQIn#xLLe)> zrU{9HeC2500`|18w6j3coiv8PVJg_IMCJ)Zc3RWNhW}GDD~x#?0`f2A`1bj`7A$_K zoW<{8&hJ?+J7W>`{#A`O;oi9=+Nl*O>zXNmr-b)Bs=-uM{^H8tC8GE5`4*tA(ooqh zjGJdZTBR6EsyI>|cabXg89v$oK_H%(pBP?;MXwzcJ*Gwl7JQ)ZUX@rVgM)*%wQhzn zWn4XX`%?317@%0^kfD$r1mNNMIKwezK>(STdic2@SH)MZP1WbU`#E@5U>-J4cTf`R zh0~}eosx%1urcf}`!Mnh%xpxS2g)F07=CZS`bQ|Dw4>Sn}Ji{>eogET;8{QYqhlsrxBQzr#T*0Ts(2y@|OC zF>&W>nVY@A)O-qUdWZFSgo>&C1%e{bJ3;lc&TeMBpDJ_HrS>im=j-LvlomFStTKXFTT;*^y@pz6CN{@H%T?@iQ zxKIa^`?Uh2qO4`tSFR9rNhMa=Yi?eDZECMiPE+gtyd5WWv z%XSZ=5ZLdAXr!@>IgJd}lSnF#hy5od&@~(8FwDVC*Dc4xHyl9lT{x`JnlaIiu*iAh zC13O^dRc`?MqxJ-q9#Uzr%`71}_{T}@a3;ng>bPMpWR*$Tt{yy3$pyPOKQ zGBGd|{eK^~KGM2E!zsNk4r-Pm)zltGH1)|m$Nr_pG)=+r`139M#M*2QsPMd|@7({a zMRDBVwdPt@`FuJ-c&aE4q#8~+jyO3+G(D3F$d0!BC{}$5J(mj-&gvO6OF@(sE#~{h zp&l{5)?(ryL7~$i92Fmb^eI84xlUN2UMVun57s8=OW#8FsxAZ$n{u@iiJ3$14#QhJ zPRG<0pSOXLH+}Xq>)!F(U08_lFvMbHci=ybgQLXR_poHD%FfiDe-))78o9i&mwFzdmU;6}4GI4I9)^uPGptZk2@d z$6IOl44sI*Bj9!(4Yq2nTv(SI#u-`Y7X2>x^l@viCM92iln{CWhB`gfKhm1=_2_!% z8|2*eX-6E4@A< zZti-3(I4K|!5`>BNpB@PewqjGtgB+|cY@?dldaRAz=~dEia%?nOId@91tI`!7}5Og zEyD<+#tafsfHHNba;CJ2Rm4*%GZfQD=~l`cs)fAJ@vco@Q-|VKC1o?qJWFY&Rra6{09+zT%S&ZhyA{ViGQ`Pr{~snJcf0I%e7xZgmPW4pBYB^DU_=S@!^p4 zvq2h;pA7Jqu##$IW|uV7tG2Xo=~1&=q+%mcep{au6ulo3vMZsXi%NjP@PjJ;bg&UJ zy$@BE>&FHTM~GHN(L5d2P@WX)Ii~*=CeyxPzE335y~$XSmv~=JzxJ3Keber%sMko2 z(oQ1gDMvRwJ?;BlH=H!0nuQQFZmKkS)>M!ZU;w|ww#}U*sl0I3#Q8{0i<++2;D1VR zc}Ezlw7ZQP$Kn(xG|Up$EEKZ8S!ny)SpyOhZD9tgA!?t0r%;l>VifJi)HI1l-}O-= zOI)KEYBqk}Z0dhp2~4ys9o%L+<&#Ys<1bnr2~tN+GDAx{{J*~KJJD>*=ty#4K%mU{ z!}q`J-NrA_Ok=N^&gIWeIJix@nJ)j5aV3E1X42hx4eyG5!2bXrT`V{H^+*u; z?I-D)deEysB{~$}f4 zXO51N2~3yjdG$3}!yJRM4$t9pTju@WS4$ALVih>qaRUlF`t#v^rv;uTtg|@z9b;)5 z+1#bsNb;(4#!IJ0qq?Q)pde)2P&+**Y7A5OFf+6W8OuKBzTVp~7lU)T+3FxPxAZ3n zTWe^|2W~a^I@u)8J~PN4%_mcrF{$v$WozwEQ#EW@`#k2UoD|7BOz#^8UVZwtA#43Q8LfGL`-veR!Y!I0 z>qoR*c;1RLmDm&HT_5)tkit zHb%DI@8;|6i^|As{_@e# z6Ac6gunkowGg>FT+kc~vg{aI7DQRRv z14aqpx}LCkjf<^3*i>+9ke9;mROc|8eajEC`(KJ4juOY)S==y~8t zm|Cv?=PtB!CPeAQA6uxOp($4cutQN=E{2PoA=%DPv|g2TA4vJFYHZE*A^7kcAU~6V zy-^#=X#`(%zNfi>m#AWu#kWW84?4CXFL9gyvUdQ{cMMCwRZYV9m~y@LzA00QxOqLi zC+Ip)LN(%p#*tMGP;4dcaBdWrU_2t@o|o|#J@Xz8;NBi@Da@V=SF!}v*@!`$c;ttP z%R>(9`{vBw-=8u+LqL)hw`%Vz%VrsTT>*t7-yZ)xezHRt0ZLxrZbHu5OrfFn6ZYGM zxa!vf;BhzYFD-1W8*jeCgl&XbZ!QTYDENf2y-75gKgY8k#}y*J5HI(I$85#NlfzwW zaZqgtofYuEam&`xrW5tkj6wPA-7{FK{p7fW%0W~us*z%~yULT~-^Me!vBD+6$3Vey z#~dJ6*ZM6`vmyl1MOF2M8msIT45^uAAR!tKmi3Rl5Onevm*fs03bOon^EKx!g#458 z?8~!gPjCX5gT7uqoB%2HA&~s-n~1OX?^U-*8o}EhMg^o1>@59$Y`rebro9WH*B#^P z%Zi;Iw^ZPKuJMZ!>F<8IQcFc5fyWram&**8hmG1VlllZaIe8voW(`JfZ8^8-vD`O* zu!-Y7Yk$ZTXRLmmAge^=4E!33TW#FSnOG!kiubls0=JKu?Nf)8Fm8Lq2ff8cz{EI4 z{vOW)dpYFTyPPaR|URZX1i2LjH0$Wiy(8~Esj z{MQJFH1?UGZYuDegFg<(>l5%;)m`Z#0u4+5tgByk8PP^tbLCW}ChGZ}%idq2)SstB9O?^vQqUafvEX|_*_y& z{VB!w3BR`A>~u2TP`fn+{7QXmUD#|k(@uK!>3&UEL0VgnW(NcNPTcf+i7PL+NXh#H z9~|HGicGW4R|SwcrLgCZUjcAYnZGTVW zo?)A-G#N!Rv!K6lydpW@0BESxn^si;emLa(G-rc{^cYeU{E5EqD%Q5PKLa>IB1TEi z-`=VcaiT{UX>4-G#dt#rG=n6!v7ApE3?|e@g9b2|Y7x zY+pYfT0*GomhF9=%@F;vQHzD<>$Nn5+x-q7BguV^w-nvvBfemvo~8ak1m?)ZHo6dj zl(Bflbgnpp5=p-dv(=E3r^8>?GVTOVp<3nuzq3xip~p-A=icF2Olr{pr;z5LqAoL> zpJ3dk?;;NDvmP;Pm>3g1i@Y4n+5pr!iiV|d{zGcLBtNdY@RE=fq50Tm5JYJfqjORc zaqlgIoV2DeCH;#)$$mljxc|n5UqkTp=8%tc-ZKTA-t;UqbF~4Tl zHpwWNWDf9SD;eU2Ab>;79M30&;}FA4Z-{SOb3FxPQ>E=nB%gw0Y48*|ul%?q(O|`q)MpRy-k&5FogM6iYlYJcLx1edT*KEV|qm($knGR4%h)*^^~r zz9#+sq1_?xlUV5|t;<^SR}|@`1=Yl3SP?I4NbbX_=8c6CWTikbnu}&Fkl~_8%lZw> z%Hr-QXI=94A8t(1eAp+#JQBg3@%D2gYc@J*P38hqRiZH*6!2%t#_ps}9QjTWqs$WiNc1E914#r1ieb&S`OzB-^mU7~_0A^A zpN6^_)$i&eEPdNLosR||TQ3Px6LS(s z`}*pYGsyxc%qE%j%}=uw4t93vz!*Fkn$_ae6(7MwegE&Zex)_G^&1Xs|FdyH$UoxI z>rjiC0dPo@*1jwuR^KtUgT<9KX7HuT4*l&3OPc%4jNf1xKBR zJ5@WW_uVeF-&(7PCYg{oJc@8ByQzRSju-wIg?hd16^=kkO)C-zAvHO4tRCx)9Bd!v zjPyL_mqcx0_Ian^MtEC8*S)r^UK=6pGjvPL^GWIE7k=)&3(x_V_-sP&T z8I??Ax34>a%W)O4GHxJK_>(M&1E%b27mjEPyxVAILX!Wn^9ZT^jg7EYjYlcg66N~B zi|u!0h#|#t`qgv)Z{9Y=rLBYKYpcpT;bdcT(#dCJM${vf|CMRxAuC!U zZhmUfJYx_nV|`&5_FTxg0hCVuKG9!-AS;>Gu8iT|kT0b@;w}EF0ge)*G3boD1Ow%7 zf-mas2KG9lGrq?gRrQJ7#R_s(*zl2J2xo$b){eZiFXipTm)J1#;F&2h*87W8!RPGx zn*`ZnB5&#Pi`%mTMC=~M zn5h%ccdf%Nx5Yf>7-snLvL}Df*Tl^VHGL8T_-M>Lm8q=1MOToHv9QX+Nx)%A9?^+t?ANc*l}c>(pz~86YfMMe#DywNUVba zyy{w)=9swbUf;CuXd&aNYAuGZ{98*V^ML4ALi6d^xnMK1xyXxjow$b_@-oFv}YTq0tX%;3YJNgw0Z`-rvwXjSo?~8P` zlCtWV39%!L>V~6U(_7DLlb6cG4T%qG+5pSuz~QEC29tY>YW6fZr&%FqwG&{{w^(Wr zM?Lqlpx(h`-GFxPR*aG~?d)B&!Xc}$J*vU9eb4Ks!8C*NS}Hme3WJ}xg9dnh9B-Cn zWlxxk03_-(QfS7}*!j)i<5$Bq{`Jk#-Yt(_XX_)y7dMaKZXXT5sooC5^2o!~e)r29 z$!?%*F9#-=I)M@}0OvQJj$36|G&I0De}t9E-a>?hh0m#QB!3p-!~5FZ7p4JhtndNE zrYE-7OPPurT4M1?oNXPM!cjRe{MYB6$aXx7!?imLEIS^X$n6FMkh$#}^Ia1^mJV4v&S)QltKzHAFHAoDcNT zLF|vGf#E$B@vg(gpW|utf>w~V{DXw62G-YU9H{#g zq!!cK8#y|r=JJVadBlp&n40s3ljgT-S1u+))fX&Qxw0kK`6vN1cU>xAu`~589*PSj znFeCk$qd)VmZ?q#Y@w%LcZr-2o)oUcxkukKT8By%*iIP5)b(e99vRIjrN z@lK}e`+QnI>5CRM6$N(F8U;DrC}t3D_3;UfSVOX9aw#$&e;dx8H1*Z=1jgPWn=X4| zXlYRi0{?Bi6$gDdYWVm;=4P;t*Ct{?h}>2KH-ZvRe|t!G;G%aXl!FSF=u3) z!cH1R{0tKZswAOiq+H+aMf)r+vm#23&$JP3sC4c-A7a>1pMC#J_!5$W9>u^Bc|HaH z$FP#rSnh8p$UUL)%b5t+UPF%~fYeke*Obx_rm-ysK(~=8dgpczxV^!gMoXQRtqP}q zH)Ga0?k;(XvqO;Hj-aaSx+kccmFoI3pJXTI09XkQZ4GbZU}|tmk z#&V|p!y}|TdeZj88nB{%v;&~Qx@XHm+<9dMoli&S>>xbQ5ybXQS2L3Y{q|WE$X5v23q#f2b_` z>o}!2&V?#Sm{+tRPxACf4)~4~BPgrtGM648OX=LjtiPn=95;+VvEP6UhRno=WWOLLl_0I~D(Se03Z6_f_4NiR|e<6A!ns zh9N-@{CT}}x0Dy2!Pofz3Qp%uuHeH_c;D*J*E<)`fKDRw&v!&^A0GY@|F%%%y3`i= zG1hPV`nlBUt$=uYE0Z`qcaOI}Fcn{%sSpDHBjCc?c#-<%q#-t8r7X1bogJpnh!D zg+glH)F*=NJz1=SyT6=0grmzpX}Bx7L!jlAN@oQ3Z*%`g_;z309TAj{jZ@D&(!3Ic zX0~;BFr#S+d|qLzNq*Y%YsKxI0fc(Hu=+GsEx+yPAxH{%%d^nmj^R8(iBQFNXF<;h z%>S;m5m90YosqmAFrwpa+X>#yue-u%a($Ds?UCt&v8$RXeU+Ej!H2-xm(PPJsbxyQ zIYI7kM6C5C3_^pjlom933#f`Hyl9eXb8Hot7A2Sjd%_BnBmNDBXOmoq`YxXSNBvTa zKJE`=k2~Mg%)hn|tu9|pJx0}DuB4Y+Z{l;sdz)6HMI5a9$40(4;Q(2u?0fC_o_&X@ZV&5caas~0h(h_HrhoO1cHiC}a0AtvYQ+!5(Kp?ShNHk5-&ohO#;r~@1A znoL=N5YTqY+0zF=bG~Vef;NuxdpEkUiWk|CRSVaC=?uaIn^^ksNeo)~-|)E_>hGf( zA592xlr0*XcM`0UQ;vynP77byWQjY&?1bjE~F%PO8}>WF`faTy_^^0ZI{vu1e}*n&Kb^) zbXK=0v=@U3oQ3pth{l<4JAs#gHeKXp?AGZv1UN%N02P7=;skwWE3l+%BW>SIJ*An0 zOCS_NDCd|~*(V26p@qD9LEa%iM^Fq$*_9$$_A0@{nDg9AeVAAq<7$NT)KHp&P`3u7$gWfZK!XpEfULgU zDGvn@p8uq#!wtXw1NY6y&{#6iMP%^SB>N4KGdpS+px;_EgSkzN{3=t}E@v^v4s>Fs z#eCuA5{91&?32QIPa;3R>=61WDk4FJV>fQ0&kDlgyx&O|T4p6lCQ)wyS|67`6>u|E ze+AUXD&#p)C79>L!KExlRcY*2(P2D^x@^C1iFn0@g-QG`p?Y&rXpl{<1Hz#q>jnZk zL1#g;o|fI?z4rl%6z2BDy8ulm2}ZkUTg{`;X#bMYyrc>q9l4tDCis1U_6s(bm_m0`hPc zho=S+4&Xi`2k%KK|4TEuXQlIc^Nx=)R3RPRXH{lXt@D4$1r1ERfWd!jb+Z=?KPJyY zcP(emBSFTm%qB}&!u~#*P5okvf7m z@XOHPIGt{w_M2nB0+7Ge|NLoFg?OyQ6L_f~L2$wWTc4ns0+9S&% znJ8@-%`L5cRqVByhDX5}F!2tV-q2JfN6y*~Ml2xu80WH+ndc(H@47!?MtTXdY((MH8aNLdRDW_3WuKv)`8^{g(jTU7Z~Yx*6UoGg>RJQ13n7l| zzmOY4OP?vcEbnTS|6r{MeEf&|z8V$FBv!Go9yZ_Mv98Fk;r;MWI_4z)Ljl5y`hdK6 zh}HU8O4MHdcF^oaoArT2Ymyct+WC$2(>AS%x-1T6oVVz!saD2Iw8O__Ee|Q#!Yz&A zY5yB9(Z*X(|8)BTAbz1sF9DR8}W_q-bXT4=bzD@YE;`i=9uG+Oyo2QQ&}T|Y7CW#dyv;s?TOmiq9I@LuYa+Ja{iTJNQFWBg&22Lv~F zc%(xPDy_WP@y+`U^M)Ei@6~TL>7Oozu7jAb^UYOnp2qgKH0R8!R2Ch6kLz zxw(LoH6D_EVK~fBSVr+$Snc-X*y1dmh7NqEyMXisFZ^!Me2s;nT5l`N*M0WHUkI`F zqs)nnaC5GP6KIIkmiQ22CCO+pO`8#-p2Z8*GlPyFUEaT+0M{>t2>{whjYO@nofy~C zzSdI^(ih4^G$D4yN7tc*&xRTpqegL)|8^BFKZ#(ZX?@8{}4B;^c8wt%LI)-+CWuVMSO zuDlq;n+`C860Tz_KIF+T;pgr~=!E^ynnu8=Ras6Z$JoIcrGYnSa-hk)KL^pz4y`ml zfq>{S@PkacK#CZX19zD$snno{kGV%U2$rZ=@G@HNetqIDu|5`>sG0sy4!t4@NT-6VnVL$ z3=xP7UhvzAp(wEU{*Ed{VhDJzN**_LzBPOL!O!n`x<=+J2b~zBhmqJ$IITIUKBr&3ceh_elrwhJ%mOKMcXncWx78ExY+ZLawW>5 z#T4T@BENy|#+>mU}B;_diB1FC2F18qrkJOu4y5ZnCDK1Yyy(<`Qy%_&w&3j!Xmmwg1WJ z)}tz_r|dHX_9b?zjUN_0m+?ay&W~n&PDsTjT&_v+9%}WY;d1pb{y-LBX_wDXY>5RR zXU7bAv87$wYbZA#n@3=a5>3KR4RlVx1v9hmg(+}#UWzik!-1uIzc=f$?MINECHpsLghXX2qASNoi@#jC3CO)%{%a)Mq6}w_viZ|nr^COSoe?ZYY zE?ITc#lt2U9cqj`Z0%I5Z5KeE3@2fr}gdua4Ql6sS_X z^N1Q;3h8-G5G-CQ@@~b9#h$pv&v%Z$>>I5#-WEIBm0hX3-r5m=Mg}r`Z1 zcT>Umjxp8#FHBta9eL*cTjRnQ=IyC5siSFOZSHr&dfPn3He{4G3vG^;i4tsQcbIFdPQ-W)iVPJ=&*Wq`=iZgP~C;mlXf5`$FL_QG& zltW7lIVEpe{kv=&l=NBcz+)Kl)WpZ_VLn;*?xxQapLUlaw7}?_63PL$U5X}BGOLr5 z@5KNdT+ni!+3HKqb@*(x!f+DlLW~AeaDz=-Wz2F!l~ zZd&WI5fKz|MFt?z`?cR@Q+Bgb#AB%M>rnuKt09D!$yus}@Us0q_~z!-MlN^so1eb} z?&~phND)P9-0x%&m%g*Iaw`=7Wq9Ou|NG$F=KMV)k}j~~-i(+2pkSi)!aUoR^6DTz zV31pNX&fg);u*v6A#3N~pYLtV)BXj2vQ%GFDL5v)^|z%59MS0LGSvUNZ$g{&E^7t8 z%36=6(9!NA73&J?0Y3Iq8Fq54WNJw6IUtQ_;g%CVOb*AxYzM|^oT{vdK#OFCpO`V? zL^_LPuvy4{6^49TU$y?;SyYuibFH@QFuHiLm~L zr7k4_ks?B1z1-+JVbk=RzD{=h`)lbShD60~2Le>;JKkLfIR2?^`*QCQDkt?TGwczZ z6l`*0wb@Lr4|zc<+#JK>G0za*>-=$r;;op0n=)53<-w1K$X^dQW zwgSD!6~P9R@()K2X78>sQt$Pd@&uRFc?V?o|6y`s`CUqL%HRf2>TvNRn4_pX69v ztHZjD^`zD(ENC69i5Ne8RBAJr!OB|lE2~K@7 zY4*=6iolOwR&bcPyltL4A2#POjtFYZKhvcA3|EVeASB!+4% z%-a&*6Jtfb&iyO^0evlkJXIak%yzGtOZYS#p(|1H*%>vNc!^p)y}VgC?A=7#hHY`6 znPO-!e?jokw|laVdSM%N(}tQ9|0%$Xn@m*vA@e`ZHURq>Gl(F%>AX`k=5}f)q5MaU znXu$l-*NtYT^wsg>T=b1G0W@316xVR=C{PD>nfi3d25*VtD^rNrZ#OYrLLsvz6*qd zPp3pC%->pm@oTA){N3lAF@q>>2sf$)!Mb09jt$x+ar`tC?b^8#!x>i+e}hlBd*QJq zFaEZ*fg6by{i5%|W5Dae_!B_8NYeA)Y9I@`A%hdbLN1-vcuZd)N}_rRjE!j2ynEEg zy;bX+3NaSE7fo?r+^BM+%6rdg3PDH2yIZwbX5T*GfRV0$InF{DLHf z2)K#Q-;>}o6&&1+Dc#fN`8Vqm%o|Ryv&g1IVe0Q}v+;O%edi0QAR6g&IJGzWgeDoW zj{7cB<8CvZ2(9*`UhvCGcf?)e5Uh$|ivBgy4#A|r2xTqx!1}V;o{90jjH#MQucx)@ z5lFa&EY+pgstk+Z09{w>apx+8?voJ}Swu8eS6I5c z<+Kdb$8PdUoQm#71O0a*(Jfe8bR%Z-N5I*cd7~+G=*ke&vP=0za`EW%^4?jE1w_^x z(+=19ik)+9w;{rY@kNZ&oCN(c3(Gj~L+NAx<>j<(oS0ELCuXpKbRh+YE)ETAqqfd~ zg#D1jQ=I^SJNsiJsq{*STm))kQO?4a0amjKUTAAt1fsyI!Z>2GCgq9M07phP#xpWQ)lz6Z3b)@*&cy+H%-*b%JaI^T>ZIV zP1w#A^l{wtFHaTo`b%t|AxIw`SMV71N?NAjf0sdgdB{Qi_r~jI2fw8luf0yqR=PHZ zD03Z>th6}x6gjdQ+BXtM$3Vqp?5BVeNW~Gs#=IUCe{^ZhV*IEl>e6MT{ zYE-MjCsR*l2@w%Ct)ir`Xk~ShhInWB;jzCtCh`D9rFTr5(Tp|-Z5<~{)V(4-z3YnM z%nG?J;r_qTNOcC#*3!E6nFpuz`By9X@rPRtAo_gaRw#taiRep&R6VDV6SnW_by!1+ zFA%8*0zy-ffxiscKxg0~t~@dl#6FVZG-JGXlwP5xO`*NAMK)fXV^y|avo+j#tbK@KwW z2K(~_g1Eq9O4_G*i_!nI~{FB;j}$LD2keu1mWE$Ap|_7Za9`G!ny( z`v-yTHot?L2e{V(|GWqtjLOAqPw*0QaKz-d%wqN5WKKQhw8eDp*BC0Z}eszvi5YbjCg+RYhlB3W1b7As7jv~yk~NOU9806XA@_@ z9&f{79x*N2k+g}&V9|umq72*$vD}27Ig}v6t6|ty`C!|@bLy6Z<-5&Og}(8>pLiFS z5lF8{N?*7(f>v%%qDsI!vmqn$HIuOfHoclo{AizcS=nLH?tER4XCxLrq29Ij@NhDh zWf}2>y;Bm(ANELcl09z6&OMigVs4`u!pSU%HTt7?3F|K!bic>j=Ahm=K%`QrxbJg< zXx@=qEjel)Xf-|Ko@c3+I=h+?bg3r8dRUA+IR*;&9yB(Cluxb~mT(Uko&wiOohgfj z-w-;Z-*obCl*7IJ(KY407>a%s>k(nODS8TJv*C>}m@N4%ux%7+7YdAAo%1iPgNg<4 zC^b%I{Rb4 zf|iL_X?{1~XCUgi!wYD&qJYf z%1XhZNpo2?TbT%S);kX_rIb=4oQ^5&Ey}d>o3?#@V8A8=WWC;^W&Vf%9-HDI`(;fh zN$Zo5b%$b6tFH?%C_=WF3AMtsmN9ElZUl*@hIHXoxIVHJ##rlM2lgP3xRT|hd+KhB zSn{^d#q_Q*H!o+dFs|rpxJ~7kNGyAkC9*{=B|XqLLM+b=ldb4N&Q*@tE0NF1Hbqk> zCU>o)e9TIdeR6Zk20xxwKWRxlH}#HjmoxWcZNCZcLP-(3{G`zgQSYE~|MSf-B@yA_ zD%}2_>>S`(0LVO4M0S^d1BiL%>3JvhnC^5!rpd>PnfmwW4CYs-v99F5oJ z?xuj^ld|?em}Ao03y(~Kb?bXf!A&piIGn^CL2TAC0`FhZldNL4u)V?iin4^uM|4gjPv%D zM8F63VzYOI|5<6CL2{ED1Za$l(KtMf__wUJ%zD>oUx%5jr1hv=0T1ANkv7+1Nx!Fw zw&4Q})IA_{0&DTLRy5}C;QuJs}g1F>%pAgKu#V1XYs}z0Py(4I(R#qEd zP;WZ&G*BD&=?BhNc5%GoypEZc`A=B?QKE$5M&79WXEy_%j`vG$If=!^+8*uL9$AXEvc{Gad;9r=I)9#a;S(Bwq(5LF4N;d)g`j7u@@dZ z5HZ9?$+tu{3%?L>Gwf%3eS3<4 zPH=}`Q@8B!f8$mFNysl9+{xBBs81MM)zoJV4; zOL8Nu%Szum<08+^pkw}msM&wQvr<5G@NW0$)EE8H!4S>we}G2I-kDz;&g`O3|D^{H zgdZMgY}wF54s34DZos0kFTt)_K68wDILDUfUaKp5ej_J7IC$nxBVxTpG74^BY0a3; zpeu;rbJ#VV-|eu|bfyY}7=MwJXfr~4UhK3_@I%|`kK^2_1cw^zJte3cuuum$)DfTg zKK<>`yhFA62p1w=Ln<&4Lz%X+W!6%*4x9|JHO~i~Nn^WN^}3dgt+Xe6{NF?(JIE^z zbnd>+nZ?jjgB%?l?K5cG+7b!Umh*o6f%za| zDo40KA0_n5f`(=uDcphzYGYp*za-C}d}GGmNg0M)md)W&#yIgELBVR)Kn|}~HF~8Z zE4H3zf5-i%s`XKLQ1F(slQsf5xk=?~F-Bp=*6h*6a#HPJs^!$0Mfx8-Evy#s-b<_bf3CziSm zm-@3oDrE$7UK+n3A62HL?}XJ=Y>&t|VrawTb%d)+rnquN2Gg4{(sqsVNt6^Wd*s&Y z2jv*o=ZiytedgOnyJ)XwnrEG!q&0)vRIS75^stlVfcWOs*x|JHOR!_pDk>e~p`xv^ zOjbrie=gT`J2c3-LTw+PS~U>Uq8SMCxWOzEd)xU5Qx2nAgG~ z>}g|p{wglm8fee|Z~_j3qyb2Nof8w+GW2Q|8Fecu$cE|C4i2-gB%hl zQOdW3QAmBa>_Vp?kFqe-cZW?1%J@X)B^6GBV^VA@SNA1FwOcL2u;;NOt*}{L9353p z;Vec^XTBmqR+ z9G_xTUtrqjz91aarqB&1J}fUKdZiK^MKWOc@qe`!H&cb0*`qR}Y+0<0a5+b&oxcyVb zpZKZHesfm>Xm0kWO^+d4UM7K&BXwI<|AHfoXN&HW_wu!MjlcL`b$Ugv9#JiVGjERh zU&UMUy^LtC{u-8`U?Gtm6aE7oWn=gnX$`$5iW%#C?h9GT()j9Lsw)ck&NuxRxP{>1 z`;1eAMTxXHN>MuhOn&>}=TM?d3EU|VO}a$(9Iovfy6eLy6u2sh^iZhQpAJlRK3ezD zSJY)C$l8MR{Eg#-T?gW@E)6oD5;DHyNH4>c-NqvYzR@>PP%a%3m9| zyEG6oIY+H}eSHER0@IC~R3RA_jTM{ev-J;LMnd)db(>X;jG~P>mN?L;d_CawWW)oL zqBiKIZ%g^B9ZTOYp`~=G31u26FL*JIw((vbr6Tt5MvN;-(|1za2(8B+BYkbchIp)3 zqBS(rwYuiWac z99$Tt?CkQ%n8A!V+0$i)`m43N1CoT!Urpcna#A4IbeGdvp2~Sn&mhP->HQ9#pCm%Q z70#(3`Zt|>9dJ9;xBT<4b2e*B<9rp`{(E6CA$;nOOK>hlWF6*=PC=3YdMG zqtgSr9s7#anomlb1NobO)=rELhN`M?Cr~JA)x<%m?0z}-ZmRi5bsxibltkVsX&V{q zbjp<6b#14Rb;-XI>NIN2Uz**)8{Ia!#;?ACo5DSCDkWkq{2Xw96Pc0Sl=g4`M zV$YEy;tsM(#G6kXNC+FWu#xx`4GU(fqGif*V*oYVlO+Kqls@@SUxy{NqPMZI*ZikG<5>Us!^`arvO|@Kwy*df z<>-9|_*{^1$biG}7&2(!-U%z2-CeLz0cx*t?%&{&)8Cz;J= zyb7EA_1!Zh^tq|8g(`?l|e8|BD)BfER&k;!28Uqq%^1>RT{C_l^WmHt}+qQ|J8wC}F zA*G~|MnFnH1nCAzX$0vQLZ!RAySo_>>6Gs7?wpzZ%2`<~dDyt*cCjng({>mVuMtG`Ua<;HtnB{ZEvh6HU_ z?CiSe?Z$z1ohuRfm+I+xPLQuDak%UB7hfj|nl1W+}nN6A@pDbuP7Z!|2wrT)q*o<0cr| zqM)5nvFkt#$Clr{S!`XAJg5D*#qQuSoNZfD<=h23dqb2=L_6GE6?y0pRBB8DK2#QBmy-7O0`9J_pq zB4Z@NuAdKr35mKKnHu0S;fj z&*xb1t7B@r?@Ezo24Q2&kO1imFy>Po0exUZeN8poQi6wO!veFBDyn&w(k!@Xi)`+; z3ZV>#_`J6+ZjKScXOJ?bn;8&thwi{ zQH`k3E7jtVEDdrAu5Y3LS-p$CXv?z6~bvtU;z zyx8a;TxocMc4N~S`&#P;@Fj98|5GL~zNv8V89s(1z0na9M#RsUwJn@bl2`&SPb2&+ zfezk%9hq!h>~rjy$M|W~?M!$Pj_{|zXy>SMt-q3D*O^&a;}8zly$lPP#rI<@$(Z@c z=4>-SZ@f=&?b5A)x^P*oRES^uFA0Lq(gg4=biaB?aeqm`VPV9f<`oz$V1@p)3=*h@ z#+Pz`u2g<8fvNg8kYI}UGTLL+c{hk!;WoO(2rw_NO&En3Gg@PQ=+gaN2kDh2`NoB2 zPrcJfpxKaFDsv1u%GbAP@3ooLj_THCJ_#hXhsA-=ee-BAO1lv(uZh8Ujck0=sOMZH zWHe9SL4*z{`LMhnpFMF~`4u4X5vDlb?^Yo$L;*P8UqNF14=!5CLpNUs{8tVtYfk7t z1yx^q~(elus}@cybz<>#JxM3yUeVKJ$RqPyH7%!5iCJtA9OV^z`P|Jjt9!vG zx2rh5`q+3En7QAJ47BTh{o_0^yx3!=%+P$c(qP!Rrum9fTs(j%%j>kon1lb_JG;t` z+tmFJHv>AqfhtvC4m~zUoKY-l4!{?q!8r*iWLChKc7JVpRxUY1UQ>^Q$P1gY(@V zvJNK@cYl@9AXL;ntQC0B*NK)yVPUAc;>OaiRVZYP(qFRX2g_^VZxQ{iGW`eLD>;cM zZ}Vic+Ph|}s+&}gF(}MKW8Hq~=;jZ}PIxSZ{lDzETb6<*Klxv> zL3*Jrw?RoxPI=i%i}ey~m$!4k>@7Mv*RpD5kyGE^PiUHVJdd+4M8%IabD{N6Dd_vZc`$JM)@Bs!3fzi zRZU+pEt4lHCO|vrhrTx3Uw{z*)W*d89Qm?+LzVkQ+ir!!s4rsY!RFx11ba5IfdK#y z7`Xy-n7^sDLHVBh0{$y(!J&S1+1O^GetSVYo;5Osn+3FqX8+u|pk`ZD$XVJ|`a?pM zcY)5_7OnHSi?bP%)Lso_Rm{xyd|lFaz}wn7l-l;=eRK;IFNo9CF+6lJaTLldb~MsI zOM=OfQVE@V^(>*I8#}n$YsECsrJ~4MU!cH6cfoYFQeoZk8IM8}f+p(~H8&WxUPBFI z^iEv6#N@Wh$Oxp^PXg44qd}k{F)K=zV8vyxb53(d|L}RI%?Pz`sK{W$(|+B!WEhoM_rwP|{ZXG;_x)F=w%8LTTN9gL=X8_%qV*E+zXE|~wFKO`}kI!0F zQXU+Ahd|S}@B8;wc~!V*q#m33Nzy5+17R<7n;E=TYs{*Xm{+NG!f?U!AWHv~gOt~(>$KH#Q`=po zc|ge6*KVZ2aJ)SsfUh-HaDTmCm5Mi5A)H!-=Z4gyYQ;Qw3_*ck!Sqv z&TE5$IJ_T(J#yii%^efmjkTP5%YVDr?Un_S%5F0SOCzfO$vljEWQ+9KG3UWhm5>k< z_#i!|L$RLMtPBVLlu7x$)(XP-&Pwg+9!&6dNm_~LTi$(HE5LofM2QOO$nc(NMHpL&TWHpw zfRUF2^>2>Jc<7Hw{?Mf9s*fPvoFSA!(}|}V@uwEye)C)@zGzS5+Rqt_u%%^D3~Pn~ zSq>@-+XmeY$q=uUa3~znq})VeiC}bWMl?w~#=Fpy?56?(s)`y4B-kY9a0hqIyHbC@ zAE`dAW7fgRs<@UAmcjX(rTe3(NND&P4aT?naq-0qx2>qLI&RCU%A9I#~ zoQCulAv(Hhmm|$bX+EEo!#W6M%})y(9<&k@`BuLep)g9I0gKVqoZ1~Ni=#gc#k^3e zo&+rA%l~7~KB{rP;HO>!J^k~_PgNw_G?J|B4l^M3H2?h}A1dM9IBc4HgY?{fB_dFzI8)ng8&HokJ#JsXjCnUZGVC-QXgAh$p5a_SM1K@SK)f+kk7}kFL z%}(uuWrgz8ehopKY7SgLNouC31iSuWEtTz6qj(C2jA~E@+s;TEAph?v@dQA2TuP{e z_|*1bkdI$g8iH_81&YCMGHmk7MwZXhEZ{YvhnHA+a!zk2S?;?uwHMmr?YE- z=dxxCTnb8R@Ii38fP@zB-73Y~{&aSc+!?@&Xh>qz&TP%E&e#(&Po!z8p<{TS<=A}K z{`SBU%}#1Iu3N};oLbOLiI`VAnV$(7MqMd+24MNi%xC|TvN9!%_N$1H(BRV}uPFBa zqaUPRp-4VFZxH}K;;>ESQKpkNGhOk{?fq$}^Xi9Tid^^1eKR@@y_Co9xyqqQ6Qedq z`P1$`{ATSqhv2exI{-80nKlbRY|!=7_;W9KR@L%}en~dpb}Z!Nm%AW1p0|zT5{WgK z-(5>6S_?s*-|BvqQA_1j%Hd6>QFQOD%OIqi)O4WYofc0pN|kN|qU9dprx?2UiL zub+)EEx)z#QZxo+>AT)oo$z4END65=yXE#%Ni{pQyI@W45mVv79O26DO4{>Z-Q9In zuHc+en~YKv5Kg!eQ{HRV5~9J{hdUBQWf73~RIm*Y`P-h%KbJ%zXdSb(li&rrTq4XH z0RO6-fo%Pb*zGv;scL~;4x4i{nqZ9Q<*%W9LH*|IyV`zQTK0{jaR$~K1kkNd2mv32 z+)jPYys}yzcGCjezq<|H0>}g`Y))mzL7|PRR6)&riiU<`mA$7ZC*Pb`uImiqfk+Sv zn#4X`ZsFBi#pyE=tu$sa8H1F38W?k>*uW8K#}Rp!3EA?DmF{)d-Wi3)Ma%0K+9E(o;uTlyQnwuYJoPykEFB!y2(h9n&oc7lhH*wo&=|j5b%NPejMAbCm`Z z%*oHjG~R^WDCUbUijNchA>@9CU%#jTkdI{fo_iGb*3pXq+X4iW2<#53sZPS^c)At$ zOutw`X^$l4tn|NRk9$VW9)4kSMQR8V;cf@7qPIg?)he(BZ3=V9EYr^lnk+H<%;nBM znkhs@tLjt`QrhaRRiUI2eVpV2io9y`-q?O4C8}(QSJ$bHXJG(#v5r=?>TfNE zImX2cjW-harWfr7YN|lf_bu70Ht16uDHqhYL#M{6ARH;-;=(T4VykMOw9P46BF^{U zXv6FKHqJ^wIk$S(34{gk*PZ_}+$IJ2s}Hy^|o^N8TE5f?V*;?^g=q?`+)P4?ao}%&5nZ`Jb~nH#@vVP^6|A7`rgkGL%hu_*POOesbn7slwb5lmKN z$J9J`dn4&dmn{ug%W%)Nr!`I@{`#4MJnFBM`@e!1>9)s(6&GN2vqdG>0iM>S0i{WF z#B|Zq8NZ+Z;8X_bYbESFwsAWAyMZFhqO6V!amcdk*L8p4Lx19T%stm5;VCJZIDCI7 zF^Y-`M;LrUwWo+_i3Q(U0m%YpsXQ)h(&2mDk<5b%HXu4~--GrrL^p|1-4(T712=( zxrev?F6r>7a=BotXqNb-{6Rg$1;fEB=7B(kTy**<;V#fi`t5LJ8MOFO0-0AuU1dNJ z4>6bYQz@32gC0q5bx2#nEk1=v7=tPU737t}EF)30NQy5%i(*B$a4D#eU=y!fs%#hk zws_Urnf(hRmAx^r+dZ9zVB$mdx{cA*V($RvoT1bMF*A0_V!>vRX9(6oZwygxqLO^jfolv0fkVLP)U~>=lw?|H!^vSc{5`bgF)EnKO7HZzk}9 z5)6)t2d5BYN5#8xXf^_zZGb89O%Z`V!x51k=vsoLm>x|Szw%qfcc!;n8=(r?R5h_t z(Eru6O;Gp=x&{t4Pmz#wdeF#)u~h1tH=0~3?aMsKdneGF`XQNZpb02sF7#wZgOjL0 zr@?7XRnO}XhGuZ2E>CHe^RZp*=3^fm6lLw|kBi;u|6GpUSz3D}KSS0-{7xyA z;WCldZOL=zAWA_O-_}pM8$)%nCqj9+cxAZ+IA}0WlYIp$9Pygim{t228hR(6!JqJ~ zD~L~Bqd}JhjeQpkgBxvkTyP72S3o%Ny)m^iZ9+;iq=hcN#J9lX>DI_fQbSOti*7w& z)iK$EC%NIxo~pK#?Tb1_v=YOvpGeYtf->qFLO_1x*`v@BBu_+9sHRm*Pb$Ay)b zXD~dDVC2~@r+e6z-^Je1d_X)FO*yEfysb(a6<0K%P#liX%T4n!%~9$7jf3itEBeV= zOMk9?cCBrOqY+Ve3>h|r?DwgTn?-ctcPO3nKW=TOutGJWSKn$cN_FY5m0n}gMO#LX zp>=Q*3_cWLcwV&>Zb%xZu4)Uv6YIt8X(~2)mDy_aN$oy8dnqTwV~>WMEq<;6=}O0c zEKil-et4U^%ue~~n!v$5P{>=*b7HN=v_E-Y>~5Jixp|aZCW46NV3ehAV8y4)zYrTc z*nH6D8@<`wTSgjVtwK^^e^QWUqLiP+JUI4lU}CM65~EjQ{{b3|ua!wIVC?(%^?N4< zIv3MU8Puz2YdcKTEAG=B=|oOd*`u;9aMK2#1|F)O7=wDV7CVjxg-kXj5{WS5!_%EI zaoE!VGUH*UgKdRFA-k5oeSbYr*pkD1=pXe*I=+8DS#%lvQD2?7i_luPF(q_&kv z$tOx_ni0n)OCQ=bs&2h8WBTo2Il}l-UhIoniA|KBYp6!~pX#TAReCKqbw_v{N3DG{ zn#*393tR{z_=dSPaP1Ce(Lnk_&~HR9+3LN9V|Pxl#Ma6v{D_8Amh6-m^*%M$trAnzl1)1@MuN zthlXF{Sw_v$xPW@Z+(llyI?N8oBkDfL}qb0-_4jex#FDOk|CjQun zh)xq!&?XrmL%rtTPWU6z*5ahLIY=CxHnlIt$NpP_t0)YcYnx1WOb@I^tn71rKDhQ6-pw)${H=E0AAdMZX}D0D>6Kpe+M)QKNZOC7 zm0yc6L0uMpHeVA*-@XS~1T^Ic<;EvZfg|>lu{1jA1fvg&7m6D7EQNdhtmree|6=}N+5K`a;)5jj7 z6X+64vv{y-=@}~Vc&1JQjf0Hq_d%NVY#lNrK z_IOwpSL3D}!@wpMUto;)Qvc$JH;5EfLl@~PBc+%4OzE2j|7b$DLv{@}qE>D8d-$bx zwW|fW(Hh-*e<$QTqoH+UcC!aT?ClZ(=R`XcIJbvd&{oS%NhSmFp@&J)1fk$B@khuM zo^Fe4_o5%-V%OfI?NI8B+_&);0Y?;#I#}j0stN6-JCBqm@VyZ6oQCboMNR1+Ti3x2 z1d^K!+%j7BbHm(yU0;m$p6|Nd{or@oXP7v$T1{k4SO=CI-}*yX+kaC6o!2MdrerF-gfZu3D1^J4K4}uVz2;Z5zbrZrM(6evlx zAe-lE02ijj#F3Mgl~)q6&Q)4D=J}@8SbG@_=DWbzpqGo}N@7%$9lbpfQ0aoXka8(Y zUSm&6_+g^GgXwW$5x(Z)^cYku|M5@YGv{3YZq6Ky6;0q)RJ-{A*T=rEo$nQHwutZ> ze19)c{8qjzorhk{RAOFQ2SIObpce1p2g)M+NZ6m?ph(VKXX0aVnnP;|-05!~4;)s`Ud~k2#ufvdJ`cmYqdz#pt~2l2`(dMNFeQmY2gEMG4V*yXpB>9Z zMy1!496aOh3D;-P+y8d|w z+IVT{yNL99&}`Y0_S{}60CxZ^Yxm0NK0wHOn~V2)DP?@^WGgNb@>m3k)qkBO>BK6f zF&Xq$S??vQ%9ZNuyZH8fHUk-&H)zM=*0xE=Laf9y|9HP0a=Pa`=Do|CwefJw;#o)Y zo-=P{+{jX1?@(NTQcjx0{ zZl)%Q27)0t1$7=Hkx~V`O`PZ|#wTZsx39;?Ig_El%h8kr<=8EUK-9O=4qi)3s-r2x zl}Lbr7g>2*2QhYPZXMJx}6QK4^C4`46$8rN54HK)o*=Rg2I>nX6c!Qy5Ho|pI%_M92hd8RU-VMOJ^f_{WB6> zDX#DGzpy+5Y*lY^`rp((QDm85dq1UWy= zeGrVHF)EKaEQK1pd>R#@w-VX5Pj0X)YRHxTu@smNgn1|KcW{O{JsTm@(*K8E6I_Js zi@XPd>1-NJh|mAC7Kd$=>p%A=C9am`pmhDjh@JEHg%r&h!i{_NrtM9Wap13&*U!7s zJ!TFy?BaWT>9@}opYM)9E|~_wJe+L^WK_hgr@ofXUP5?UOvU|gZ1UVs0zS7UBKhGw z=}F2_Yjb-XaEVQM*;h&~Ey1!16N^$FT@;`C4uIz#D8#-6un&E+7DR(RC{6xr1h|?x z6+2d7^opqpWue%|iw$hVWnM5&cvTkDK)HxipagOFF)|zcc6JrjGBVGrqC!Vr%@+gl zylY#tv+sPca7G3*T?;|JppsPx?NMD;68bH( zCVV(pXds#oA#8RM`&u$z<0kv{o^;OVMx8*;*A?jz;@pF zJ>nuNZS6i{&9OJu?tjki|I)p7;(cz!U|7PW21r3J+YUwZK@_UX}p zs;2e#GC2vX>6x;)&ms92u9-8YNcu@|h(wGMjwD4Iza7t+=Nxjgca-?&Sl2r!_T>F} zkhpE5!y2_(oZ*7J$o&;vg6*@OEu&O?JG28yO0<>RIaeK`=l-(vDw0o}#;}N%m%B#5 zB`08V3h~=DxijT(O@1s?9N9^N4#936fJPmtuMg%sqekHF-ZDEPc7PD|6`^`H+`K4P zRTcCBX@~u#t?m)^xJL5*^NxZ%PxZ@JBWtdw%Y&`P7ZeV2j{PBIZ;8PImYo~F-BQr8 zxGW2&yTQ&D?LOzfDea?=tbFbM^T=8SGcqINK8TLUAcpXXQW&nWu^~wlh_H0;vd%6< zZc?se01w-fV}(3J-lekf&*3H+xQB2+ct&%zcJVfgmeN-w=P?$aq=LUB(*gHb4HziP z0#~~F>@sHH;s1auzjxrKdfTzZDfINx8q9;7vGkCrXQ>LM%hDJhHmT!BE0Vi^`>`*Z zhJHDBa>-2ow7j15b9|X*Ye92my{xKT{fyrAh9?M%@h~h*!H^YA#P#_6zK7dN7atX5 z<-I4emO~RU{-q1%^O_HGz5m7eqW3u$#KRT!>bm%uFjm`VRl|;tT8z-Jjoi8CsQ=Mx zJVCe=kgZ+MRcG#Lb1MXt4!$P^jhQ$t6tqZ!e@h%j^CqnSe-=Q~GilQ}y~?f=43U-^Tx`YY zzACK#mgD(e@`d<4E@Y{K*GND|ku2tlBn(UamM}jSCuY#WP+@4@i)p*ORN ziEp{_x-Bgt26>7*1V`i5X0d}af-4+>t%Z-X?U?@*7XhTKo54*XOa;%^{g?*l_~yS{ zg$Hso2Qlxw1F!Ms<>l?x4s-B2_#Ekto&kunw4LFkrY}Oiu;!G^Ony_vq|`Daz_ZSz zH?;A{<8^lH@;yJ%qxmHMHLh!I%p3hE&{ri5DL+baoP_TUT1rX@awN>pQJemfK0@!0 zSBz^FP_GiMo-vAjC4uq>6@y-dPy*cu8!p3?N!y{6%S{@HS?3(x^8Tr7_4Fr|Al^$D#Am(2iLhj2K5JdzE49qUv zR`6H$NLOlS@o^0o|F^kLVtFsSMPYCKC}NT{@3Jw_g`6tMglumlH}E8BlQmukfgFGp zex%3IsUtdu#we7khWbf$-HP9*#)KOzW2|VRqH3{u%#7ZgwZA`i(a>FsjPU6`BC6S$ zLQA1FHb{Id8zHWEK|8`8@Lkt1R}XUx*zJ`)(8Tl4CaOm&fu>mqsml}NS(W}_gIp!U z{{id6RptfxaHA{d&}0wfVxDdyVDh&xYr*Y z?Cm4x+@eVY*8BVWu@Ya!=j`7ENnY;Xv=c}F?pkr4(An!%JkTWbUw&ev0yG*9uM+Uo z3>hjQ-I5S=kTHd*mmDmmE^giWi^$*;^u2$8eTdw2SZ*J(m34xFll#+PI@-V)3j-f9 zb_R=l2!h;Wy}1*^&7OanFkF>u6L#7T_IO%av+q3r#hGkV)scwoXG^8;Lw;1$CS?nT z9#_jqT`vWk!5*pXoNLZ}@7g4Rz@s1{Fuyo( zCGPNF3uagFMV@Z0C&p$==&*-g3WC#8?C6uB?H`Jd8Dw7;$ox^UK?vnh9~4zagWJco z%YeV02cHws7gP)RpA_ZU-f|p4H!e24L@g0U*U=s{;W1d0r_F(29_U3Mc6$IyfD*NqsEuN?Ic9B6<=^ktA&r81Z#fVRnTAi0&_e|)5%V?ThmakSc3xQ!RrGiQ%+M+>10tW5_QdxtM?##&e#(|~CuyXU*6*Cjw zSBu~{QqS(|N`vc4`nzZk@uz-t*Z=NIpc5?m!4Q`;UPk`OxMyj!;u^)!J|su>B+S0$ z;y|w176FKRouPh{`3{fDx|7JKr}_A-+tBn3lGZ+RGJltdqPv0ANY`=}+ptL^2+1BA8b=R9e?QP&N$`<@9W%-CvoLAB996sSrVD$Y*dc!F%$Nydfd8#3H&{Lzh#z1gt=`RmU-A@XHQ%WX{#*%@re z6DYzM4}eAN=i!x;SYU5s3Aq@<4$s3N6B*jOJ#s=v`6{-j>^*0VzMV&~g=ITecJ^FZa5NSe5{>sZm##yBD{#wc>(O=> zI^pyYXUET$WG~cm_CiJjxBJ$!*xJoF{iXC$59OpOs_XB0ae>x;w1b`Q&) zD_++H_`JhTK7|RGLF5za1Yf|lKRIXPbb{sdNBl=V(ZOQD$@V5YK(Rol38w0*vzB z^Par$$BcmFAyUNV9MG2;;6`}<0j??~M*lFAkqtg8nqBiGgEvnnO<4$wzqgShr_5XZ zQArI!gfS&*M$;$1JZdb*Go6qsfFYKmbh>5T&GNc2Rk^3WGzZN3NwI8nw=q$Jp&2=L z-HrzKrh+)~md00)uenLMG~zC^nF{gWx5;JeV{hw!Ic0vfs<3()Jiv;4@5QI`EIC0V z;ta@(l}Iq@E{nb^l=70-B0O|?ex4bB@;-`SQgGc5-LX^B(Dz~IIDoIcY~Zi{VdS@Y z#L;J=Dit4kzYrZX49k&Z+NmOCA_Qr)f;OKaAZ1~}VQ~$GIgRw*u4tJ%I@k1rA^KXx z>B277TrZCPCFP}K$?b2zY)LBNPtU4nt$ro{Ce-8Hs?sDzHBux4t<`bhq4o8R7J-}NF)m+z z(x%rH2-Xf+rR+CW@h@L{7<2mxVajx;>r^iH17(_@&>8Ffbkk_i`(^c!x)k6GbiK5C zxGQCfqS`h>)5i&R#tBo!QDXCH}A8DIY`PqmA*dvBsZRoNYGFA?J&{y^4zgroKrrT z$xIUDKojyBr|K;rVG$qLdxAD9?x5|aZ3{qKUZY+;+2s78iFje?jw(rUchuk*-4{qC z%50hWz$<2yNfV*)6s~aP(Dr%BF0vZlq(|Jo*${#f(ez`jc1-wap!#c1094^?^co;N zW!azM`m<|Xm03sq{8g*YMsW3>I^}x4Bs~aON-kz zeFWt~(?A%36lPV%U91N(hq~$gt#%Rn07rJfgsxI_#qnuI7=9g!6HJ>9Yg-{|Fzll+ z{ty(?X--m0-U(~rqnd85PO@pDR`ALO9Uk`iG#O?;R;_v-Rs4Y>6BdlMrhFR5dCMY+ zvAAL<&|v|iy3ojpp(w~wE*+@%Dn7*Yb2Qq7e_Bzu!42ImN0lSH!4s0-ES{;+wx|ng zqkWlh?7C#f22&hRFAufsFt z_YVwb-n!!R;dzH~Y%QE~2Dh*f_1zwE(olc~>W8EJX=kgyEAzXa`jC0ga5dYeIkMlWrq^&UI4J ztiPsRjuo-R(w&P8tprAo;%($$wI6j4o`}r9O!CsAb-r>J8KCg5j@YTMw)Q1nEGf+mipb$iEOI{ulU!|javSKHI1LofZtC2GIV64A78J$Tcy9jka*Y2zMW#F&D6(7d7OM<)oJn`*Gflg$Irlz4-f#$8M2N$8E*sisxD)8Z+qdsup*W z=G!7rlQnK?&f@HsOVg?6)C1^|5yKbGN5Jt-CQym*3<0?WsJ?TE!j0NB-}4vx&0o} zhaK+-(3*ybdPGTBV9)0WKC-XokB3Jv>9e90#|gq6N^DIM6s-_to+*_oC!C4+GCWB< zh|P45yA`*jqD*g9>Q{4r!U&Rij}&*=JLdh^!&2T?P9cfOWMq=dS*344e{PMGoIG?y z(Msr1Ox=73UFAyZ&OwTDT{967W_5h2z|UL=mc)VxXOY(rl%~Mp^$OM0ABRSg$YVRb zf9O}<23fO`_?WrpbtH3wh&>1Un<9T%{s|^nnox30$d%cs+~zOu6^HS)4dwj?a@&G4 zWN&w0ISOJozXsTgE81`^VExc=i5Ro0dMp~HL^~8%G>hFvgMXAN!1%&A=n7?p!fhPE zV^fJr5;O|yP`oSNJ2Dkn3@Hw=ZtxFA1u6uS8{lsz%d1Dl7qqv=iqJcTtEruZdeR4g zD8&#G5^zoeY`Ga*NIciDnJy()7gT|v9~vKY+KY}MS@Yby*$8Ckux!3>3ee;HF%k|_RzlX90V3gH3(;)Ek8+A^q z?ssvVN6$Q9F4xKL#I7f# zgt45}=anxuyp!x#wl!_HoEM`Y<^Bi1oNG|gF`Ma1e6^+l^l?!{iS=#>qpZY9hrOlK~|WSPr4Zi6(oN^wmn#vY&!^cN8ATt zLF~|Z$G1kdT^*Z>oE?11f6J;mDWH`3%7w_>F41ZuzDR;n{Eui)zuohzq~TBr*}Jvj z(m=~ylHf=bpN_i6{Q~bXCmQ3&kVnrqKQ=>{Sbv3itT`HfSo%hDrqz( z;mg3nHBIKxo-XPo1;N>W-z20loG{GEUCdv$^*mMDYj7I=@Vs0CJ)O6*Y(G5f*uN*5 zHx>x&Am7aChbA5?vx!6y*_GNt3VjMBc|HYJP{lW#{2uRr-*^Jq7Iu~={B8IX%?JCc z1%H+(1#LjN=wI~^d82f(I9-(1#gbr(_abTpvEH~im|lyFeG^J5r0qZrAUhj4yd(~N zvg(Q3eQ4%iHGkqz@GNx@(uL~VZ>V2LNG7Gs|C5ydsF=i&kQen{wlC6$xFyYOD4t~! zQh{JkG^+m=Q;rlDqV71pJ876R?0zUG+{ZiOPGMEl5h5-yNFl7I{!(U_F+$V5Pi!yO zP?3KjBjU1KB^F}J)mm21~Ch*4_o0>&(c70|WqE`Xw7&zW{$bcLWcK|D| z2demhA1dX}tcBcjEwP4TQGTDfQ=g28KDp3D&jI{LjKduCV2Yw7{EB-0iX79Ot*Bsm zBV?BVQ)rWNZNO_Vy*H!NVr*H-zU_v8Bt@C+(nKl{e`uf4IWOrcJV#p^zBIHenATRk zv$vM$jcAqZnpR6anW8@;DYgJPxtWyd47swT3Fkc`xl><@exAbtRdftzsp83t?`)3| zFNOOF*K0!6_Xk0yjz3hC$pu}-N97S8a%uRDD^eILQHD2j@g$rc>vk@*4-S(4`ak`On>T&c z=ri+rZK^3CwJztP3S3=EoXB;n6M$e#jAWMAr5;O*^3>2YupYlhq)tYG{1h&Nm#`_N zp5&41KaczaW)XQ^{Y|20EqnHHGxu?u>su6SKUMbrEb~`Ug6!G{`&xUYpJy`euxuNV z##pnPeQ~)jqA8>|U;H9sqr|eVMM!Fa($$Kit06S+NlopqN%B(6ldmuP{H9TB^NcT+ zGI{rg-inwb|Lc?ZR4pziIZ%Om)&H8ENbElP7DBH8#s}$Dgwd{N>_2}YiWA?X)~E`` zUGc*@MP3Yt@5GW^RcrP5%P_Vs!UBQSZ>9^rPbXnh@<-)rTx%0xvIme}%smpSv1RX(1-4<9!#dCD(<2Dc0AP!7j9`9_3Q3ax$*4`C= z@CmaOju4*u_g+Lc=}dE4G2eJ~o{pMvC+Z`G{quI*alsMUxa^H@q!1Cle<-+rxB0#@ zcJ~$16n&)Up~;E_9@3@nUN$-7X%jF<3`YS@t%x!^m3w9G1DV>k4v~6;zw}UhNlWS7RggqMbm=pY4cWO zV+!NQ7aYJy32yY^{;;;0TkA@P$gY`#ZICU22W@t;qq`{F26tPVsgY>MG}Kd}1tB2Q zAu;ra42PB1vXL_dOC<;fK}E2#yuYS=SbQ)G=gD>Mh(*N~H zxbMfwWoME&`c6EodCoQzx;Xom6ee)}S>lpBfn~rMzpx1)LX>;Y1^n4s6SI02Fz&4| zz1Lx^2HkkH3inp0;`5XE6!mvzd~bpmZUh2oqIH}vdL}jDb`#H)(-g~yS%cX!p{Rei z95fT1`_#5>EnUYn%r^xl14#dmrn3x-stva=B_UnXB?8h7(k0R@-QA5e3`mJ|cPQPR z3Zo$1B`MwAJ+sgL&biM2`8RvN`+3${_j*+pTm=IGu*9vgzzL#^H%FCC$PnB^_lvmw zgUf+*@EV+Wl9F!~@B>W!0o(lO;%SRzyZ!awsKz)tvJBkMN*56D4_`z;cC`&AvZfIC zTQH9r+Q~4jEfe-RcpVT&&Jgr?n=~g}8>xzEgGJU`rNm7S@i|zM?esa~$Z_rNpmhI( z-w3A6qJ~NXoscVEAExqL9S^*$?>Ix>gaYuV!L%#r!z0P91m%ik6cT^ylE32+pPBf&?StGTYYtoA%|v8I z896Q@X>?OS@Y6PaIT?xvyv^pli;DU@j^PMlr}zH1s9{h@DYfmi;1KYb(3sBfY?ymT z(mUp$+Hcg@>{kn#nbS3ff{RW~VA|(zho@}@Yth-u2cYr*;Q8FrKa_olaU;QBn?SNg zzm8vSjv@`K3;LkdJG>oZ;snnsC`vWG=r?^#_WPp33z&X^OhR&yO~#-5P)B&149VzV zG1NNQ5RGroL!u~1KVoeGKfY(&1j#Yl#4Bj%!F=rTiH!P*Fz;b=`w8b6MLSiPDmdSd zN>KrS2oa&%qsjjucI#aMD{uH&Q#bG=h+Vs&7Qy@cVDnFv+2Rqp6|&nPE?mz%F?#2I zK*?VvdV~CE-1t|U4#Sll&jg_;rdj3!5K(wmTPK_I4c4*&;=_v8c6 z!4d&gVr(L;;Xmh}{(Ie9E0&~6m4j7PB~F@Y?YIiH8PJv{S+v!xe}!NVbVnt>6fCio z+GQ!Qt8EZp+=U0Mm9T+f6R{yq#Vo`yrGVWu~8^4bbk1E$&x zDJ1>$iHJz0YdlwRSc3t{3V7)MfN5gttYbI4|?GF|wr|&wCgkA?sWgy4r}MsfDHtuNnBwvFAI~B*g^POg~#< zuHay%S^y__jCCGVv}R8K?ze^2%Q&>Tz{cOazdmZh%x9`fLP#&D6=; z9l1orzfzLu^%8@8-@B-jebQRypDX*6xgB;DX*8Xl@|4wsU-9D}v(_Z@%|Vk;^7`{k z8{`bId$|fAzi5skdXn%?_j93BC~_`h%V`{5`_Ns@!3q$pXiiB=&Gq3(UdPRR(Uf>T z*IV>i3);!9s!Kw~c_(?h;yLk!L8Y}sDdSM8wCZI#f+iaSOQzrR{Y8bRV5GHVmF2$X zK#e8}_zb-Cn`o0oS@>4$l4bU)l`w5hc4$?!f{sG0Vso%Tk>6qs$Nse~K)>#xyu-={p6o8#s1F*XUF%rX8 zr>ts&7M821vj)VA7l+iLnr9NTVq7M_J7pzxfB#Zhf81|5tjSicnYH}q7Lm_K$o*9W zK21X5y`qsHaH}sws)%;|gUI(~6nx$Z!pPnW6vuP_t)dNN7e^)z#c0|{LUGcW2u0zIS) z_)3h{%c(&6c-zh9eaL&wCxU68M_M5Y(G{Tv$lD|w=N#6VA(_9bn!jWVI3DA$^P68M zJz_oL%&py{uEC>g?;wvx<4-{9qeS(cdV7k=66ht zI40jqSGxj6+T{j@vLr;b?h9F53fIA;Fe^>ab&_)KI}Ks4eY`a1?Z87br_*q8QJx78 z8%iM$tHa~b^*LJI+Sb%g0&VGY@a%tu+Izb{CF6g4Tme}*WIqV$DJN+?WzkrOnd$~b z{XbEv@iS4MdoM}#esjd{*$Y1=G7kWLdBy79e9>J=a zeW7GPG;83K0`%9^EsCLiL#}8CG?DG)eE6A#(kM{(^s~Ab#-%M&DI<0m!$Iu^FD#jm*>h>fMRwbRH{gyeh667J{li6`LtNkY_+ zS*Dow$*J?jURY0e5#>O^^Sjxu(2Rho?L!^^c4>~wS2}5qqv?_ntLb6|kDEE& zEyQ^>PZCXG3&>XByP}q$uU|qUzGBaoP2(?E&l_7!>0&xx@rLwNpTpvR=0B0 zq0M-OP%q@Udh9Y;D1n#Llc$3$@i*N%6OXI0lCi#YcH>%5*leG$;z-{dgO>Y-Up>H? zVn5gq7-2X}y&kodK8am^PyKjP$CNV>zMsaJ#kqrD&W;irGXc3aFeLvN)g0&^S+#L# zt$a6NR`~v^+zmK7qi8jmVu*)cGh9vP3jOygW%5F<-Mu*l+%!vIMkW31X}fFwHS@D` zV6_Ob=dNs`kl>`9lT%_H1jZF>c&c2gv;a@hxGWJv(vCwgR2yIMbgrn3sFmK}A!|}s zt4TgSEFrjA`=y;K9sFZ9>ePM|P$)uVg>xSa=2;?N({Fx;OIyCkokMu->GNvfH@}IL zpLUgo47LK#S&RA@5{^|#zyNuEEZt~LdQ_p*#M+i=)NPrHY=J|4$r~jX>P$z-(0+uH zR5NIkb)<7aPj_%!n{AlHlFTrSX4#3107fe7BVLZhcBS_Y{(j;f`g5cP z{ub0h7iNXRzE>pc*z^5(7jWzJfX9l=;elJf*mHsKJJw5j(LEpc)ry&Gf9!$(#fs;6 z5~%5*>yj$-?;L1-wW(0lBK$+da5KqI=c0}Ia4K>(47*$71UIs}74SR4!s-keN@h41 zIvEodV-qX+gWk@ufOSilqJ^~4;QP0>;v--SQl}gW=Cyc&2U%r1VDI4Y8~I*zZF@Nl zdpLu(${ex(o$*Xry@WZm2a#fpS7oJapLQ}HXmqjCj;bUn*THXJf4$a_e&*N<^&dhxaUIVUy4+alXmq>S6xcJprufM(8}!fUIM)=eiE6>&t-R#PEnNAv zRPm~={IY_}CrE8I5EWM;`BqHfOrrREF4HFdTY99!xD~@{>up2VYVXAeDM`~84hPSK zutoDIDn_4GeG5Ew6X5764q?Rt4P#w_$JV4@h}VQ?;;=7r#qEXV8~#d*VOw90UoFzl zydP^;ieusobq?BJSZ)_HmzNcX2ZDm@4SnJ~zYerro7w!lu}(G6$VgroQ@*{HW$fw9 z9B;%FC!gx26) zz!kh8ugDpf`5O8rtulex4!m=u6y{6oEfvoL3;+H~fNPXWcEf~EUA+N~YA%ije+HcB znB=JZQh(l0f21I^o3bzY8J#sw;y;z#=K;3R41wAl3yHB;l6bpAL^w2+0Vx#U3@?|V zz*{oscikH3W8a(|H%+9k!Ef7s@d;H*vCf1&x6b02-LUAeBOM3Vh?Ux#w}Vo`oD014xrNYcGF?>-uHiLVXVigl^kihgj>(IlRpuJsZA18>YSc7qfk)Wskmn zBbGa1bYU24$ko4Lc!Hr>aYsW?e=RG9lqN^pC#1QPRuPMG*8LR!UmDi~BuLk-N1w)? z3B~QXk$03-!Rm;A7DFGGwoI_WqsFJ zmj&<*P5;4^xAFwK)Rzrvfj4(F*TG`H(69Gkfhf72aL3K0W1IFzBs`A|iKzQQ^H;Ld zT6%AzY&9e&Qc$l#age32Non3`ibv*r3v<#7#dAD=s}kr7rv`*uBxcOawlK6dh(w;B z+3D<;`KDACgMYt0@NL9DFr zgh-FaM*eot9g{FGRpc*WP2gyOgsJzEz3szxik}q6X+v%Cv7}rArd{NnCoZaUI>3-& z@>)&wB0QFi_ronH2Zp$O4?}`S+qFdXlp;;Vi@MqC+<~XEV-T|cG;fNgn`Wzv(+>qL zRkaa%brz%uIP{}%#Lo0fROVvCdy#qIfT;W2BL+%V?EatS4ob=kHUNotl@wsh%qt&; zcvS~>QW^PfL_{-D_n`>5O1%1^neVv)hl)}jWsKBu!dgUOvon{Yyc5OWtrp-~boAz?pCS!s`3LmjwNy5Fh+h#s<^wR?paeff&CZ`=$8}zs-NkZ+I(X>Mt~KaJ5gt6~ z`vGfD`S84;TYYqs?w-{_<=53Yzyk%FhPu~j!4*&*{hL5;qc4)gG>}{O4WEwr^7`1m z1yS#b4Yvu;o+@A6&r8Kh&MXl)(fC0IA>UJx;?;yn@333@apTDLLD^WY(1nbppbN82 zahk@2=M8!)VrXI!2XdRg<&@@nZg>H<|yXJfJ~rmzH3?(afRD7N5Y8&afess_Vv z9H3ylcSQmwEtj36J924}gPI{ycyv*+hncA9Qw9~LKIz8qJxSbR zqrM=O?P`V0C1%@L0+h(bJEnRR5z*pIiPUISxnXZd_2Sn;X)iJ_tixY3V^J`-s9x{;eQ3fy{VUGCzh()qG$c4-_j*?1xo=A&G`%BTAS(S_5WYEa?9a8-?dhVep&uoZV+8F!y->E~d@!nno2O1nqCAmOM zPns0@4_f)HJ`z*K62MZ<@1l=n#O22c<5quM%xmdp(Z9NXeA5ZzTxN~@p1ZcbzBF`v zSSUM>co}BHqwHDYDOYoGJ1>fK6D~P^=qZ;rHF3U&y&}0?hbU zSg!@$rKt!iiIcDj0IaOttp==rfi&&K>t zu(1o5z=doNxiUW7L48k>l{i#BjT;S0d^V`Cso(=Xrd7PQh>MHskVU_YW9d$9{rRA% z$R-|O3a)o#CpAD-#t z6X;)w{o!K8?=riRy~(@gclte{Q_)jJTrt0n zQYFi&h&8IKyH5_jk*~S!3jEGZwMzSIB?Si-3>#$wK7bQ^6OY4lB-pWi2W1nqpMJB5D@9J>+F0=uydqBH zy*+orSL>(4ub;xq;i0SSUyVpeR{i#<9)9BnC)yWGx4D{%d{g|pZgfzOF)z#D%OHw` zk5~Tc3AYUjK2{kf{ut!a$V8_LV2Nh$s8O|C0=4kGgFU>@ygbLzI5aKOW`f(3`-a&& zKfPa6d84in&{ghzreBb$v1J|z1V^v#j!G32J+OcYpV@SQUi}8WzAaSOfoW^qLmMqD zJMEn;iD)$&@#MH3PL}Xuzw+<{4iWIgb~TyBuA*@SNf0ao+@SYrFFdiueKS z+AD7>p6_t~vC_g6Vt62Zt8L^sQIpSpx|)YYyFSNQAoi;er^% zsn`k3U7Tv@rJN=w=#$7ZPafBsTEggVqdg?GUe>q8Z$5o@jJ8r&;5P=C?;XmZ7&FM@ zMo6(Ip{y7LuBbT7G-5T&D7@wB^CW-##+-#eSqZ^PTo^sLJ1k;1QD?bfuu&QW@lrlCMjV5Bl5CR!iu8>)}(eYU4r=> zuFxMA!eTw!+7nDE9uDRIYm>%i(ENoGd6i9{1+w#U+9s&)@dlEoV`!{%^d*r6nQMdh zL>&?D!C^z1Qg$Bd*mhb@&D;MPLk6c{$u_f7Kb-hlx7Nu1aOeqA_|XE$;X;kNnQ{0G z+mawKG_cmp{15bgh4iB4b!9HyTDrqg9aOwA^JiI}cec^P57uRt>ElPsg!marDO9_f zrg7o1S|;%g2l>9(QeBIDe$|j(brmOhX0PBDqyg~M39o6+PwtB$ab(JgSOEt-;X&ad z<*=}}13vX@K27P6UG%F~&yCbC=}B1I6IT#?y{I--18lG-@U^_9C(7uZ8{*Y@k z`rXgGUIbxBz-l zPw4?@+Bpz!Tk;59&`vH7$(j(&0>uJP+i_b>%A$`_Pf94AoX7ZIzDka%CVyvH5G}wk z*^S}d$}v?wz%qR&KrQ~Q0QVHq5lqj3s6=at1oM0`lS8;`SL#88&l1$|dkG>ZYUj== zaD6yel|||jf6UR|(UimcU$5o#4>i|Wzn({LtQDVjIQ`+y*V0R4dw9iL`~vg=c0wlA zQQwv6#noa(g9e2WFjAgzj{fmwsF{laGa}2cHcHN?PFc;DPY(-+(^TImMjh<*mv7Dj z`3Epg-%7L+(w$00eFUl2;*lQq30QK?4@ZhEbUbmxAJ9)l-shg7%q2Iqc98h`WL)y&3_94)(@=X*T6RO+*Kpkggh zfhaWh3Q*0{$xtP=ME#xTVq`64)PBxdCAQ&Y2)Ll{Y8W|bGs8;>QgM6~j9Psws?E3( zM)Zo|%b0KnOZS_$^j9C1lac?nF)q0-F&k&^3eh3=CAUD60#2EqXnYeN(dPTf-V#ZE z<4TO-HfnvC+RI~7dc|J*_Y8h^vI-Eo-RlPTod9}+%{);qAJ&L! zlZP(KxGQ93NlNVs3qL!HsLTCePmZGYFL#S*29sUyBeAHbb#6E3=R9S1^m5-<*?!`) zCbzG8cE+*#k=&xszCzNr05;%Em1W}3^}RdC{1eH3nK9VpeC2#AAa`UirB}kT z4qUlaBLI5$#hHFP!==Z2yoqg7C%-knA2<80W^Q5guid1gf9KTELO&-bo05^_=kUjOtDC3rw=E&76;alkl zxQ@VYR|x2=XrXN0Klq1)a6XCOShaE*efphQLi@GIYkxgvwk1vV+g$QaEnw){#jlo6 zs3yvN=5tJgu?JwK&I}Bvb2l)qf5jB%Tfi#w3S0{>DRndZtg2kYwVp8lA)b=qi6-1E zU!6y2)ONp_diS&6tCAkm8};GN)o;V{i{#9?c`;f9jEB2KU{Hf7W!D^^dSDW2^sENE zu;(HDEn2IsZc=HNO3-n48nAs3P5Al%`quz?XS4uVNg56cqfDWHk~l{FL=xs_Pyu)x ztR=&=c_A%r;U}}R=&U7JTfU9};sgQitlF=y*E&w}E`7ZMTu;Pqg=55z1%SCMOrO_g zI2$&foK*Bdk*2!vVK5~Z?)N;ra{f`c+&ZrkW3Fq{LhodEeFXQ{!k$Dv(A zC%PO9cTz2gfuVr}8dYHCXx`PgpHHVEcrr=zA+Dbq+$0TrIyIeA0%M79f%_=OVzo1V zt7R(hL~OwodHZwAi%nS`_{D(rI9k(AZ-?jHL}!d5GR-*0_gjg%6?oGrgy`OgU+AqC z?C)c_*Rwtn9P|X|!fPyf`j-W40-ydPKw|zg`aGukNDjPl!3dJs@{63E5c>HKv&Yge znZ7%uAXN#|ef!d4xu7b1@TLP?7p$skT9f(z>dD;q^QNE%ouj7QZk9Is9Xn;Loo3^x zgnavPIu41%(YNO>-7cA>Ak%*?lPkPL*9-fjYr`RC$*}b(ft`6474qPRHBD-i>~&4@ zD4@|_sJ&$TF&j*HrxYe0Q5Y38?xY(!6iioWF_j$FMm@!IiOfUJDHCoG<)nbCMcV>< zd>4hJHyzrXTT2jv{O)SGLWBQC8_p8g&7Z@Tw)MzI4LNECa2;xJip+V1M(HLgYR7vT z@K(751}@YCRf$#|DxU-}XsV6C5VUZ?x4il@_p790*aRp-)JijU5i8|PfKuDXyZ>~) z1WA|XbdgH`Z-g)9A-&wkZ$#ynDGX6;)7SS?3bWUU8|TYETM_ptH@pnD=lG1zne7xs z6Hh`hE^Y`?c}!ubI8Lf;hgo*V-!&cSXtLfkl)f7LAP#;Ul3u8=(=XHPjZ(I`jgQ)5 zQ??Q10Iw)|o4tU!v8KI=0#`>q^RCEBM!J&O`m1nJB>mTBj|I2ZC#>8yejwP(OVM<` zYAk#Qsgdc?g_AOh#k}=_6?jei&;^dKCZoKJT=}FBQhrL*hwriW&ie1(76#=-N1;c( z#}SDPZ=!GPy%g%zXs(dfiE8!nC z5g9fW!5gvS_GiyqbDOha3Z|O~F_}@k$l1{iJr>kcIqY*N#cxr^+C{b2`)rKeDT8_s z!mTi9F#2cL-NAsfpU7;6^MK{g{p&JEIISaXrtOcDwhU~6rMIMUoYGtqgb8tSToX?` zcSX3)TnROlu;Du3_A``RLmAfbNTq9|#IO^BbI3y6NxOMkl$4*89+^g~q4O9Yev;67 ze;ROhxCTbWU+?Ambn|(K%t*biX4S1pl`svUdY-@%E8BZOgx~yyYfIJSUN6&J1_^G(YWCb(cIlQah2EKr_sh#;F1iN#0k~Mi=Cr>BP?U|T_#~unaGy6_ z`l_~H2iJeNx-UERd;QX);C=Cz_n9mWn?2k=q5B-eAvn^Qx zPU2Hp{X+-jA9Hz5L|sW6-?gf9){p(Zbp$i_KPw6Qzkh-msS4BYy;1MU!+A;Z{@+;5 zx>p5S?NqwKYQ`0MacoF-Aoj9#6XPmBu#QI z=u&^~@ek%rsNiy7|48I${9x+mA9cbRn43|th$L9zuz>~CpY zAnpd&QobUvi;IL2ecL>SBDsY4e`xL;t$z(16~N#(Z&kM96A%KiA=kk*UoE%D;6h_1 z{_&v9Mc44b26`EeQ-DdcXU%e-)O<$Q;r7Hzdj|1GIm8UrSuzb`HZY0@b4+(`NtL0l3V<2tU)uD=~K-d=kx9zn~Lld-~DP-l;tMIef?>atBGsqZeiPXOt za1f(I3Z2sZ=Cl~SZPM-$IS-HFhu z_k{X?SFU=iwJFP|nqbNWfJIVAOwqB?NM+L0j8k#LHDD4EW%X^bBe{JYfAheK5 zL1tEibdhIGg3^AAlA!z+9qrGvb7?;n&We{LBHS#hK1bZdNk(~Qrb&q}WBxw;;lSOA z^D;)Nx@EK=RFt<&ErVH$@kknH?P&uyd`nH6j&u&9W_+j+D=eOYm-^dP!t+Gz)DNxtu!`Te`tG z=usCe!vezI0?{gPnrXF>f#1=a`LpYwJac=e9Z~<`>P-vOV}nKw;){ePiL)>pkF+LB?Z7&2 zrfG>Er~XUA;MT47d+28r?4YdDc9s(m!dOtqihc@FQ!!x8%}|bop9DM2?sHoG|sQ^j@yDJXs%kH2E|rE zvCH>Fh>o6bCpBV%q&5C}=8hq{5l)%WQ(N2J=NK2h&#r=JUS*#}PZ9FRQE@xO7mcF< zpxNK@e5>23b!w=m;8e(!X=_lwN#e+F z0&63AHf#i>VT)fc_0sqx|Gx_$Oe@+xdWfIT`JGc(ZCtv1ogFtXoXwxPU%}s1Fj=Ju z#%}OakA2!7`@!LN#=0fpvl<;-QSGI?T7#$dq1fGj9Qmpsb)Mvoil{{xXL^g+uGbW^O$;LqjsUdN!V^Tw0GjK?7+I zEOp^)TPhGLkP|@^Fo$Cd{-J#O@xcZ&}fIOCyC#Qmnyd7R-$rfR*WE zIQ}YmMAR%FO9oz+2+n}ib;QX zuOK#^^8~+~AEj~xezgQqev4*K5&mDeI!-JBbg0UGB6sNJ`UrV^~( zh7w8*9p~If+m721D3bOcIOdHSTojqOP{9z36&ZTm(3O0xG*I~_rubw{2-%b6)|TGt zBXQ-icqfDjpbz-vLN$2Hzo&ojw_mNc5K2(sw_Xgs}0>`0gf!%4pFKvkqyf; zm1cPstmCpK6@xgzJCm`-jxvZNK~e*y)H3?cK-Hd)0ksc|vM0$=PtnG;;qw6%;0+dN z_JJfL8oYW%ff!3dfR=bEohlvN9)aq+QB731NXF$2u5LtV(cnF17PwKx9Xk<}ynZH} zx&oiWmT*bpB?yK}cGVA04gu@o)RpD^R&w7kyWP>ON5R`~QCuWHP(2%XcYa=tr*If| zS{dm-z&R~#WCx?}NjeN%%X~e*w>-#Y!_=lJ=-6)|H#*EFGzkd!cBZxEet9JOYZgxl z+;HdqHy6I7MC^b~^GFa90`mv+vb^_^NY5#W4&D;gC>CKLnYAHzZqd7Zw*PZ+EK8_h z)hb2BtJdgN$a4^`sLtw_qrV z$1i_@GJObfkkVx>8h4)TZ#tJ4|CH$(NU-LhN?Z}$N0ZiZ(mx^HcYU6W zf*)Kmk#=gIR;~mgA151UJo7V3(#s;02R9w?50>V*f~;(mS$@>OA@5r2wP`n&l&JiO zhAv~rO9A&n_rro6P;PR9MBEmXN$~!`a^k*kyHzNyF;0M}3{=wQ=BF@6U1C*IQsb~xfj(83+WDJ6}h(&vI@i$=-_UlAAOxL;YuSPQJ5<$!HBODyo zhAb1r8GEB}=Nt6{Gf~sG3SJ~APJh(9p{HlwT-5m>otnXRl7y=&xEAPn02UzDza(|; z&KACr zXTiQwSiSn8Qw?wj4Kpy@DMSQ5yC#Il6)NI=Ibi(6;mxsYVNiSjJTltjc7#5j$?5LS zaeD><45@>zr_KnP^er#`s28CS zszV3IP>8IIk8&s68~v|iv?*g$Vc@5gxRxo;UhYG-q&!fhxm^|qhFTKCq#d_@kK;0t{7l4zqrC?88rYURbFV6AXyuMUj+ zb{mGmn2my??glXUS%XG-Cq)vsBoF024+ zqkoRp<9*_sT(fYXZ{PDjkjlW@)%aa;HP zChW~}e}Uh}y!+=4Z{EbKaf$zZO=aP(>@f`QQzYru2p1bN)q5g~^w5 z+YXe=4&z9CHT&(v?Ya>GIv6biJfum9k`XAL+ zjXXBGyJ51`);D7%-OrS%WNbCeo`pvfPK6lavC6e?)05XBR$CEh8>%~weKhXmsWdN9 zYFw%ylcV?8iW3|z*C^t_2T8ekRO2Pf9z~gp5NWr>=)wGQxx#<6ch2jT#ODq*hDK_Ih1=&iY`{cS3>$+;`*UP9SZLc4a2e z*4<$7+=Rr3^baiSRPg#SgzmRxL)P=4eCdMblvmSP)Si6*OdU!tBMIZP#XMo>9}+&Q zrYA9SlWL+ZWOP~VVS4lJ&l8W0(?~uRE1liht6?+TtSCR=c~4@5Av1=d^B`j$(CLnh zeRn?!3F;O?Pa4+?s)ot3OdFJn`d%K@wpjdp6+Dy+MP3L)&i{0EfT|zqoT;~40Q^zf zO|S+mkUK=+yX^!89{@$SS}Zkw0P%@*r%Kzh)(&5;sE~m> zO5ya&jRMQPXP@yR!9!J^Jsw)koB3oazxtQh1v7hUuy$77fhKb}m55g&F)O|UL5c*j z2A@0sd)eV7iG8BJ0+y|_leX3E#)Njk)+FWxH4C@vhJkD|>S}mjY`lZ#vr0qZKgMdv z<=-Vc8HkIF;;~+Y#z_L=yAL8eiBS?eWpN)i>h#(>S*PG%3>qGNo`+;2%=^Qm`SQ4P zZVM94%G;M}L$xLnYk{JX+TXIx0kgL!5JzVoRa^#hQ}B;f8@5`gEn0P`rM>qam!4-9+?EIWB-fog;izy0zVxicW%1^&PhUwY-@Iq~Qi91XIit*P=MVloOvNDG=a%`_JENCXId%R9l;D z#-xo$r`Pw=uIuFcmT0zGKH9P+^CN%qhPBKqCgh97jxWGmh~Zt&n@X4GVU|0fu{rr@ ztY06udLW%(v1`$|&M1dx^xKRksu$;vz8m5y-1awR z{lqba&H@m4In%wy)gDn5ssGa&p;vDfn(Nks!FV{^$|W$)KX0U^DzroNZ~=m~h@T@; zS0O+UnV3!N3J81i9Aw#Ajn)M-kZf{Ry^pQ-)o&;#{U=$sPD`b+U!0d!Cet8L?)Ix= z+2w~dhZ9#lds2!(aH>kjl2U3v$rZX)%r84^cwr0uhU4{%q8qLgT$~U44<2w%@+i>5 zl+#7E0tT$aRTksXe=eB8Zmi!SA);YZhlfrKTvDT&yF$TAk<5Zn+Bm}PAtt8Rg+*b^ zsh75M4;X@-YWfonZ*`d?1dSAzZuR2i4rk5+k|hFyOMbF&qMPGbjaWRISYZZQ>8%)#DlC7k^)|v*?c+A z3>8&M=Sah?@13g7I?IvFZ(Bvc1TV~`Smr)$*n7)%-z!Od*=8YZ?Cu?ky*-7c1FRN8 z$6A*wt5+0LJGrT% zn2ye0_FbO_H9sDr?+PgdL*~x#N3XPFo{@PQ5%d=fs=*g-@xAwoyBryp zU7^>>U#cpnnnb@Vaar04Wj`PY-^F7YZu}qfqoG*7sOjD!2o%Osht%UbR*0G9gQBUrg%Fs^yOxUShgTLaVD8@wc zyIr(()%OuY*`rOg?Yk`Du^o>>-zH;n?NT*FAa7PVUrP)X&2eHmqD!=^L3I2UygN+c z`jeS+K{DSBMp!+4OtU(&RM3icWnQm#t{^sRML22KRBpZg?3(jnIJhpoqPJuI%rA0N z82UNmidthC%0EF{9)COGE6|U>{j7!qX$8uk??lce$+#WV4nhLrSjawaL!}Xn?rQ&; zaULC6n5P0sQ8ejt7iAc?^9@=|i+3R~Ziu0Z9Z4S`$*hiV?HaE)=OKa^xr(@h0Ysc$*Esx0=sLo-* zb$8HaG>VkpCKQkSKIJ;W~`jvsDMr#|^nno{l#RH9#3&VKs7y+RB2 zv?qd@X_a^ieuCz6twr&onmEGyv>imQU-BbrnEY=J=QNX0_B5pI*j{QH6%)9z z>rP2Bh{;coB6l{7RT*WMO_X`=jW_naGDI=NE}ICY8h8!D?)(ZKR2sGU$?8|u;K>pP z61dPtr0D^E>sN30J7?aV9AYY`LnG4Mx#NczzI51_{x8BW$Bs7YnAq=piS?O}^gLNR zG4hH;2$3~lyA`{tnrPAUY`P@omN_@qDy>;fV_E4h;7M@U4>8voS9DREr%xnD3Wa63 zbj(=+LhK%LHRdgxC)OmkJ}6itTkxM)NQv}-yHxaWKdg|$ zVT;OnmTr!Rr+YQ^V;sX}eAgiym%Wnq1(Hioo|QczkCb8wu+S zo*dB@gaf8Q=fA=@1;EP)B$7jY_0%)Pe<35+zV};p_8p?cjd*7|?lA7;3s(0aUP^1f zhJ!=<7mL!&xI1&ffiQq=Z#3p4XyME5(s%FBn?osW->dbn| z8uTtot6k<4wJQrOtEChw$4j&kR%}nzsOI}IQ|!*zT=c*xe4 zEGBeXGUrBcLH(~OL?)^0F4-M7p>K_TyYP}r&jkv@9}LR_Z~g7lm?{Sk*UrNktLl4e z6z)e}H>*3bTLhTP?$5CiV-#ar+#8zk!t|~BNp&C?hHNaQFYI$jiE`-_hLHYr+F_U< z@T%%-#W41CjgszS@W6?6RGxQwupZrL=p@FDGS`Hf6Bq7_SKG@9={0&BcdOB6)H!-l zmAK*=>)ner?P%VQYU7D>B0f@NM!y06^W+nZwTIRfU)U#f)XkUQ-sqx0&bg$R*yjOq z^n5I|%W^Z8Q290&F}y)utYrS7(SNo>ruc(R>mx7lkblzJ3a+=Gw4!e>l7))Go^rgg z^+|uuVj_x42>(On+@Q42l+4%eWSNgg@1f+HL{;24Jbc^RJSJc`@=Y#K#y8;$sYWVJ z`PoKq)X@1EO!D*t?Ziw9-e8#7H&;0PnjX>Htl7_=KHtpH4~d;-}AKBK3AvC&q?4kNVAu-GRht&6sJK(?s?yG zvE?^G@{1+7PlTf&AK~;L;*vE2PE;`X#6q=KnMApzUcHud>H0LE;+l6(b+9_K0$KHe z!nU=JS%hyM_T~U~8OgPXq5)dHPo|5`f2iNq)hMOeBAi)+q4z6^C!-r2aFML48_B$y z$e@Am59rmnh|R$udTz(m$K}1WhKJ4nH5g3|P=-b53R_rD`k`=-fWl&)C!g zAUIG?0#^)epi=L8nU~UCwS}%#iNV=Z!)YqV^-rvAO#}QYY(zS+-b@%9cR#^sZ(dF!`yBuu@P2j;1EKT2Ti8a?emlZ7?$|1O_q>nI;wqs0JT?SLYv~c(u<4_ z)z`k8cinYTpCjM}-5Gc8d=)1fU*IpFeU^iK_CNWak|Uafkp-S zuQaOte!XObWn%yJ!AyhnOx;&h44xFs>2{ESFKLh|Lbd1G=ZYb^hGbcgNO_DvyV~nK zZkZe8KEIf=K77*+BT2lF5JMuCrrm=m;TKl^*RuK(#7GJ~RDmS=4=v}gcBwnwW(puEwdtt##wEOQwQ>z?MkuLps%bpRY%DkW)qWrSiqj9&Nro*!@ z;d92Q%(Gl9B{Ofm0iG^D$E!E;iYwxWjH0tUK{n#$>jHoD$FhbJHnkf;C$WGuRV2-F zT=Y{V8A*h0uzaoUWMy*7C6OqSb~HHrE+tj`c=4tY%SgZwudzpl$^zqtCbhQcap(*} z$YO)YlJ<2~4k0cu%ShJ!xmO*dm=>9OdMn)JYVZmX5+G@C%h^t9^qM~z$$0m-JG}(= z9L`{hO=9-do}y{dhm#uCYo6u%0h$!di|>7QC{adt0}`7%noe2v_Ge9Na6Jq+5qgPB z4%5bu9OS$P`MK}t*6Y4+ge@bR`ftd3Twx2MtT59t1XC?5#`h~u&D8f4Oh*n*sQQ24 zc(+ICB-i=z%C+OB_0qDsagHX`6>GZ#!>d0R61w8QrE+=tX1?d$``dr`4F|`pS?j*9 z>pV%v2Yz;|TXZG|@YGBFBaH||UUWd&m?WcJOdj$Pr!DXY-ug_`-@2AYodb_1k&P1`0vgfO141k~;h>~xxy4s|wL6Z8 z&&2XqCyNpkiV@{WBygL}0}Znxm!$P6Q^DMXS%2I*^MFHAwRfo{N~KB{UGJDDg@+gf zi)h$~9geV7UgZQJbH-^9M>WT15ZeyKHKQ`T9AoOwe%y%X!4sKRm1T*ky z0R0e+N%PO_)?msfm9D51Ti?;fN4JEmom_f@1S-MwAW}TUy-Nd)Z2)QOH#b4kpRP$@ z$vU%P6_nQkL&whg^%Lh3^wHS98`+Yx;M+g3AND*NQah}Jlqv1>Mcdm7n$(wY|4z31 zIo?#^;xL}V6zn;g;zD4;@VYSk)p!V%p4Fd+-qz16}A;n8a+>@btxZ5(jKKkr*j=>4rF*rgYGmtZ~o zXx650`lZ!C%x3Vm1+{@vPQAZ}OP}sTQ|}h2Ecu{H8)CNo z!cg?6sWJ*gTaBbKfIW%fsFlG9>a$SS!Fo{YZ!sm}F177&wQlC5$30XiK)K9<_Y(-J z*wV=AZVqwVa2WPN`#%_wMP>%-7DqVF%rM4HBSV1UDF()|W+DiGRSW+^3gZj&Z-XzO zg1tIppDJ^AJS3?^?2LXenZ6Euc(wP&qV>Su6;|v(+#j z4`UNm{mD7DR341VKbape1&xJAwd?2=6$F1=r8{T6!=pO}-@!_04Z1Ejo}KAx(0o+< zw~k|T&f)zQ#nw2A8Hrm4G!&Rjs%}9cO|})4!wwqdcMR#B0 zUcLKtswSQ{OI z!8P7~pkicFtJoFz@~lHgAQt3PHX#re^;B3Y?#+$NqYiqSrQe#4-%sbzL6|>c?U5s$ zWC7GMkC?|F0zi3ZV_0yZ=T0}LOQ{}N_4k8wgjL7X^RwW|;upKITo9hMpzF-NG1Jk= zf9oj<#Za4TRUAW>C7!piX$4nXIk)8?c>m?>f=c9{*>&Z{Jy6r9y!v&g6UfVl`p!xm zxMz?F4je&C@LDMKAUueAcp#OXbJ@HM2QH)sznt7>OFgjuaK}M4(%@9=2| z5lP!A!){oL^g4rhn@vjk6r3YyU4N#* z(Rlw)3ARf7Zb$dUb!NBNHFhAZ2iJ(~vae8Q(b=CEBi}>i`~7zdzdtX{LauE)Pi|1# z6>Se*Ylq56oU45#>SBmdxp!?A4Lk%RB83E3+Pskh#PV`!$ zTz^vemM>E6Ommn+vF6-gpV({>ay2UrZR(pt# zC|5F18ph9|ZqGy~1X)uisY-ls*D2#`kVc-%YFSRT(TP78sbhASnhGc9SuvdCFJnw9zO($X+aIP1epHDWeOqUXl~{E077-L6Ugv-F zS+_Wm>g}|ry18`sngxSA_u8GuFf!dFelXr4!o8g+U-a$7EWP=&n@Q;w_sDtGPS{?^ z&5|0}>H0%a_05xc=wO@qsbFFVKa=-_YXqSIZFI~jG~4TK!-YIlb8w(loaI^4LoQOQF z)B7NIQ<~q!+;iI}tRamuMHxzCuaW-iUR)S~h?~mCzzp@k!s% z8;>liO6{!Jq2xAAkq+ksh2l=&F4&M-#U;-T36W=7;StQ>;?hn%K>n*EO@iD`t~RhJ zTmc`VnXeGg)jb$kedn0 zTHsdG#5RXE<0;xOzq|2|!pDpujHzws099{_rz<%r@6te#_qo~pZv-YmW6>gs?k;xU zVGK?AoHIjAzh|;AuVd#ymzyNJph2D}>)sn35l38GS+^=w4xagZiz+iwN%sy2HCLiM zeTzuA6FE;)+oc)q4jvIvrh6G)rv5syVXj#<^U?BFEvkGP1}7T9{o zu1XtG)Fef6Cw3#L(Jn(Byu;xSE21*FmFk_n>?aN_ssR#Eg@fhFGVw}R12#wpF|yB# zbwuNP5szBEh7)5c3D}o#yb31nW(?W2ot>F!e%1%pzC5tUm8-=CgF80~I`>C;n?`rI z0uduSSvlkGMaiI!h)RgL$tG$Ex#3e=2XK!cKl&Sw3Gu?9FYh5rk0Tpd;+oqXCo0?l zobkRk&(vk=d5wXh=^;~!CV-P~SG^iz>`?Rv%pJrZ>f*o5+e{vBx}M;!vhFe+PQ8B@ za^I!CGe7nds)-pckEnTg_H}(Zrf*s!!D5B*LGB7ms(Qb0^w!L&>u(!+q@A{rz zbGIBqPg=a2M$cRdq7ll*?s|D6B_98RB}IXPZ8OBsIcs2ZPqIk{|1XbZzU*|xOg*b) zCOL<{QJ3B8tVDSvtz3X7GggPv@`SqvMPZ_+jg@P!);{p=RMv|nW>e2L$bLFAWvlsf zg(>eYfO^DBD`2AVO5RoeQ%^Sh0tP)M0l?z>Gb9$%Up6+ZAAhPnyxB@yI2`g`dOTYNniYZ<4n!d0S ziw{15zhFD01TS}>HhpgwS-l+_^XK2XPHP~=a99Wr$dV{<2s~!&no6bje)9wZ+lQr#~!YOzOJ%Z~ykoO|4 zx1Ns-`%v15%#N3-bTe9b)K<+{ZcpNGBm)j*rsH~LofpAhL*ZJk;YifPcZJZv^FS$i zCh)ENKZ_UVjvc3dx&MHK^d{IuDLM6C* z*GSWLAXdLIu()4zwdUADOrd8_*!~xx<)?2zy(D@G9y%k$$^5bCjp#bCQi)Sijg4;Y z!=c;V)A|?doGma?Q>setbKm*bp+DM<1*SBjKCk^=riYk8CX-#T>`RWFp12eqJ=xvz zLQhPGh!sJ0v_w?6&=32FOkRe16c$#9{(m3v)Rup%`kdPl!96IK0)j{}_n{BtR|Ag^ z{}RqXQh|t-4P<5FD0#Vlr)`2_OUPXvd&p=NB$!95kv-_PkM<#RL0F&5at2hj$k~76 z!7~OFMVztFX+0`J-hB81e}KHZKW+Id|KVKv;4mq|;J}U^D&qESD`q6?U6vBi^Agj3 zV_d2#P~S_`kj#+q>TYG$X1zP`qdoUO)~Mm^H}2KpH0}j-3n=!GO~&>>MgTtfjs&mq zyJi4y$&23E%H&|Lea-HXP!^Lp&v=iYT$<+e6y=f+#WQqQ2EA^Ld)w8aUWVhJ7fh4F>M?4wkOTqPQ?9E9 zCXB#uNtH7os__ABGfNVns4}_jY#Bxf?sL}EG}V3ck&vC0#5;M49E{w((5&+uv?-ne z--sT?qcILaW!p)R6B=Bj5F`w@jxQ#RE&<9C6*0?ZgnHxJ*@nN{R9B^2KnW8xLFuxl zzBR4;JRe_MuZY5#opCB~3+LB8sBtCSZNj>8A#N8W{_8ZTZHt@*bF@3V_hagE z$zZkla3_LeU)>%h(g^A>i?&i;YUoj7CecBEnYU8NMUF*pcP-2rjb>^(WKtP@-w^{A zel%uH@3?szz*9hbC*)VCZ8k6a2K^~3<(F846)-iJE5nPa^6Q1gHzdIY@D6;F1Cl={ z<o9mry=q~}fMstRh#1=#GKMF^IOd+lUW~c!QvN@_= z{z2=<76}0o;AK=xX7{O?0 zTPqF;4eN&7J+*5slF9+wvUrHeYZG!8PL7teAhG6SxL0=Im8H0Gtmc*W^@RnB{hA`; z@3)Evm~U*YN?k+Sy!qH6A&Uu*vO}x3X|MnD9f^C0ac?E*^+flxjP6et)=>wm4qL%5 zL}N}Md-TXv)ul(yKR8(8w4K^46vo2b5nzJ*$S_jk&@A!KZd$rdmx^~fA|l_d_fQiW zWU>B#s&IaZ(?sZx!1<>#bdjYN;5A>f9=~Xdr~;oHOTX8(&7O0gc66nzi27lQKF(F%o zrw!7AFe2Z9mNSwb_8}{3p6v2fp_DLQE@ViuJ5{3p12T_`A?G%&-Jq_Zpi5EMG9_2lddg{*~8Aq9%_e@I@DzwY(t3!d<0&i2BgDu zJ12zAMw)Z_0#IO_=B&|w);?%)nrXPZ?9wpTxfmUA>v^}A(~)U8i2~sI={v~}l*uCl zKth}%RC1MYLd)sZoAkY#F>_O)YKQ(my??^bY3t;7ptK>c57fLG)zKl3%HqZ`R} z6wE1?kmPicXa0rjoOJjZ`oi11g3hzC?F=mRqp@5wel|h8Ll-=&UzD#qHyw=_(30tb zO}hK_C5`o7I15%L2naY8wzQ)v%sXT8z3_GqeB0~ZvL!>mxxqTkmcm!?v+wONO^a-o zrDmjCs!^>ars4J>KqHvX)^McIXCfF*qMNM?+9?bSW==_d(-@uo9W^Q~day%iqMi-7 zM;tPP-=`?dvHh=nr0!#$;ZvbUVFJq3shkj<)bLBz`%Ss{?*Gw|WIU}4UIIKoO3|K* zPk}wXHm6bg14(^ESObB6@5gXjw9-C$+Skz=KbeeOFs79Fqhm)Q6~Av2)GCqQcV<># zFJm4Y8&B$9n?#Fjb;J-`+`)y{&WC`~;Er=k$A>fJaJdO5KCjV1qhSc|vQDwcYrpkC zs-Pwf)w3Tts~-khc<16n>a>cL2UrzKZ#-AphcqfgHHR z1_xxb7`Ca4oo-;xXSV{Psp$$w?rZykYnDw^Xjpyl&@LwOiWvUO5c9|asw#7FiXWI8S1s)?h z;2r^8$t+BzFY-6Bz=KuDv7gCW#Haa~RJZx;NQ3{&H;RD`N0t;N*ETtU@qA&!^X?tL zYmOLN5S@e8?W_7-Nn{g%?0Cw;5K3{2S`YbHTUV#ZSXcfR|Bh(^IpF&seSRRK2N1zS zU5ND3a=Bc)#7O4Ylpei_nZ(SrqV@_d{BsQq=Rt$N)L2wYD*fDU->l4jF)sX*K}q}E zk`U~~GYT0rW3=HZMhr`(F?5!1QE8IST?kgV0!1*);_7B86&mVWEEBw7f|U?h()t=H z%pWkvbf|9wo{-k8C_aT$dT8L)A9x#o`@1IXbb?>c&~lm**~@F%`FyqQp1!2;PNn!^ z2H}#{+lhkR9YAsnIN6kAi3f|%JH`OEH#ZPdYKrhdTnxR%$!>Dni4(Ek#t*`(!A5t1 zUHRs50mFKjZ7+hG3&OX+Y7#qB;^FVbA|zd7iw3y-y2 z{%3!JF_OS0wYCK zL!CFG#t&Pft-s^Df*yjS<`qr7h<`l=ypA?3tGQzt67#o;1K)Vg~=BcEDx~ zPz5*jP2};D*KhV3yEm)9s^WX6R{HuqQr}^mmE`Zh2iaN!;Ad93?0I(?pSRO7Q#*NqFDIC^ zQM)UCi0>)iq3H3K4^sX_R}sk-ARkGihzs4-PwXD+TupmE1-8Wl_?Nr%{(7X^{hQJB zB>PS{MtCB}0R-seT?}>Y9P}lWTETP z76qaim`^M*fn!feq_wxvQFXSpA)8e@liI(IFNnH0R)G46at7o*JD%>H2E@Sd-?NNr z(r8g(Hz2faoTDhsEr5CgOPN7_-J_A|Es6h4#SKOFmA`(N(f$hm8#l*J0%W{gTYe;* zSE|ab_X>R4A-$5czxR>$7;k_XB%etd3&I4Q!M~8!`S+h)lducK!WX}U++;)7KGq(C z-VHOqrkngZypyLf`JB)8!MbH5|6`Kpwd#ZDM_$9P;N!8lZ`rr9k6A+43Vz~LWQlPg zM|%Tr6Q#jB@9Ur8m^h>7Y-(5{Ey#ben+kakTd}HGa4z9_Q*@M-%N6m@@+R0|Rr@ki z2WypqyDZ%5Ir%L}&-8N}iesTRdbi^k8`XO8t6-P{`h&IWiet}c&qgKYtpcZ6jM3}LU(e1Qdj~tTes6#Ts$wJv z4>D%yk`@9f^CnWZ5Drn~C#~zxSI}>{?qtbt3gndqT@NGK;2-!!stj2$y_Q~28oqkv zZX0PTvHr05gq4I@@YUatVpm^e+bQ9bn9f^xN^zi>Y?TVm89n(q=;D&!WHrt@r#jk~))2a9V>P{kg(5HMjmLJRD4xv2XWdcu~sXVs4 z^lAn7TtJUdQT*s$PRg7sn4}LRxI*V~TxV!_Sz?RvBRY|$o*%ySlO`{B61~4BS|%Ea zsdH7%eQiNgF8)VQKRYhlhtH%t%`$hlxar$SB-AT|^Z1LRTJ1XM`oe{gOH*&4Q=B9U?^xj*=#uWnJheA=DhoU#)g z2)h0)x%Y`F7Uedm|1@3E>KyspZciG-(e@XnqMQ=I1z){1kC zl@dw*7Oon?qrzU_4EL7Wo*l>x9Nj=KX<-ebMBoT{u~cV+{u;neEPH)uj-#}d9v1@n zP^H%pb+Ys)#cb1!2K9C2JdBMTzJLq}i?yiwAuCsnX;? z!O7$UR{Xv$<>O>5_<_MsFEX~UYS+v&Yzv4ncGXdKzhB_t$tNsffX)}n6omTmPb^vN@vYC-Wy+iAs;p0Cu1_Ca zU>UP92-19-_Ytc&t^u&H{{R?azz-O4&0?5e$ z`x_VETie(KWlCNjVGLgV5W=ouJ11g=YSa1EIknCTI6INpZDr)Ic&?(uEo)OBw|xWe zKc|7~%%GEACSXu9SNFPQ_GiR~IiT5KLR&sM!8JP~btPHztO zsIE;9hs3qNYsLo3yq_8|D-=tP&G>b_R3x_C?sDSd+==-<{S~dlA2$?PCd4$G`(MQ` zh|(*4rlrdNiY)SlCUYXHw2v)ke-HJ`<^VbBkjl!l(gCtT7Y-wKJzVw@`{F^iNN>z=Ifd7D{5e6;0DNzM zZ>N2-S_jIW9ZmjX#Z{ul6l4VVmRwaS%1L^hdHg$_n3F!^|6AAMzG^E9sOaY2x%sEv zd6_v(yd*;GsHMzKQ4-MkOto0ki*j``n_fDC1Nq$>b6;Cap_)3eq&Z1WN99iAxx&vp zFB?R_krsowv5t9%A8I@#A_|RxuZukP&By!Hqmajhvd2BU4Q)F0I7ihXRrG1*smgya3X zHyx7w8n<2c_vkc62;rxhv>vwxHb+L;;B7D1NbTya|6*yI3~sXASO48KsPXpjC6|iObO-Km7hy_^mdz`R(2eHa|nTuHE=N;l^ed!J`Ks?aM`9Co__ z&*A}(^t#II_M-Y*CTofsFBj@9{VC{o3r2KhFA1-=9+;jm62wSFKi}LyJFpAn7MrgD zR)Tp8d1DZ1=s~h|Hdn8CJb66zFm9v(c%3aR`NMTMKKsNZG^Q&2cp>jXG#aaDws-p5 z^qwxY0HcoBhqt|go;r62{es`p6h^HL$z~e%$G@V4!^N>&@ZZxLP)CO?^r|G^&m)}$ zBO9+bYEkS7Q{}|ls>)7SO2m(EmzLoN`a4B3{`v#w->KAcB~1@d#~5w=$@EUQ=ie)i znZOSP=HY{3J@;yV)JtjkC+tvIcyaeQ-;Z=qr-p5BQi^4sv=RZ^<`+pBZ8wWSf-Hz1 z{_7?u3k`!o^xcVa2LCQpXqQb*F)g!B-M@kSKp`%p&-x%^$o3%&6&YbLOx`tniooWX zo+chE0Oi@WjvR3UxAI9%UK}2RYsMP74BT+5v=rkLuNan~l78;ueWM!*s1=VK8>+r+ z;v%_Ei|A;G?u9!vEU`3{`7*mbSYz{_)RH1bl=?@Gcl|_s2D{l%D(EJLcCAc$&Il1I z4|dr`1>N0B!B)x-x%GX*&u@TXo*H8+7#c_^h3Navhj2m6`@LT*81pcD$XU^!8U}rW z1@MugviV+rE)F`Eo~t&j5)(q0iAPg(p3t_9BCYC)FT5@wQaGUz0_59ln2Hv|( zO`5uJeh#9S{rnl+#eT|Dw8%5|xS36uV?MG;$+-Hj=PGRq^Q+TCHJ0&|4OQcM3jE9# ztn!g2iIc3NMgJZK6d|mW<03wCp4xy)@UbgS zOqyOA#}sHbXG|+oicgEQ7FNrwGBjVT`wv5sf#((TV4hxkj?{a9tl+9!*?F97Gx02To$E}+K?GcA5 z(9N54Cef-*T?-isEZ|Rkh0(sgM*iHa^lceznpRi-ZtwM~UCxUwS8s&D8lQQ4@E7d7)BQswrMgU%)|?5t^jHon zdj6s@^r;#nFSx`nz^QQP$!kWrTLvV&nEKb569LjQh6;jUy>2rVHg;O%uU|v2Yki(|!af>b}T#W9^kDK)&FEWSq5mcbEEIzGewFoLP&9(Igzw;%u z1{z#C1*ip)9=$F@uZpnQ!Cl)v^S`7FLSLK;L}o#$K!H9_!+N9TXsz(F_zVu^kx5St zPQdxdyi=>ZitP^Cy=`1Oo;ZacJWd0Zctc-o*5#!@C(PI=PdlANEV)CA^OqqM7 zuxmI4u!%7Kw_Mq3A65@upYFyE?FRr{bSQ`a*gX9JUnECZlrnF!NK)5N!%x0j zwV#^Vum*`eOy-hqu#=LNx7mA|yToHuc@L35<<)>y{o+&dzD`$dlT5gCIKIU2RmE_n zq$#|wVmi5Q;JcaAUMY?n1GnFM?7aWUES3yC{Dzn{)TK}}Aw~xLG2V)^^y&_$3iEvz zPo*r=`o^86CWe@y#=Ymxsk5>Qk7@_F6z|zPAA_LXf4r0sbajPoOpzMBztFhLn|psp zG95W07j`Q#pSkZ1ytvf*&@&Jj=v25m79H=#cu~=NGJe~!Tq9i=NUUFL+Ay0ex8jB? z)P)_g1In2FL;*TRN-93FW1%2Xi3>_neK#77x?ZqqYv9-@4mzzM9;kk%Qy@0z{S`35 zONzpwJ|mLp#b4qt8rg_Vbv9SG>B|bRQC>rklH{LW&~Z%totnFaUUsDo5%jVpEs-x<7Yem>NZ484}l`ebfj!o~*u6@PfOgaRz77%&u-& zHkeVD574p@PztDo%H_hj04thX1s>9C)b%85F zfQ|WV;6>!H(7i5wCfAryvL3J6%r8vdBt~AWu#S%R@B39sFbqQAqadxvoM2T{A-pO* z;FM(KkIefxKxrgWq*{cJ0vvbfYOTMH0k!Y16P+4@l(9B+A*UH#wRcou?vJ>7s+W!w zg{|--rWt`ksKW2!ft>_jK=WIAywU-YgB2VtScCKaAVa_Jz9}bV-R;1Z@Q^~q|KbBO&Jl!q-ZW5_M(FyWN=oe}}dyPrq5 zRQzTo)&=Z31ro;JBdJ`#-FqGv2_a3)ULj1f&&ePi2*ZoFbtp!pM*Z&A%m04CJK5`v zg4EZ!uMV!ax$yK&)7UOy(nYBLW$V8BaIX8>BT9Ml!3?5rX+U{0-%CxAGI^dlByC6z zG*hK(iVLjsoVPx|jQ^S*xD`z`dojc$_=clJB$lL7agH!%(rRCNLi&MTnT0UD%8o)? z!gkIuZ!a@xD@Zq>@!#>B7AN15)aY(jR;$>)xfDIZOY1I+*R=Y-sfuVLgE(E*n%@dP zSH6<9%wUUjwti`U?XIp7#^(apMRH+geBN%36)S?&*<{)C=fs!TVV=#?NZ9jYAZjn; zRq9UPw50gv%c?M^#4W=|J1onXk}GG4SuEH|D|eA>wJMRXWa8h~?T8F~jl;F(zpe$% z1{VSR=h|ccUVOY#&sBc<{4ZTH}ge!nUO7J_U7#p+|il(mng5v z=d+__9lu7${PH2ue0oI8?8Cj)M+zhl*%w{1)E)sY{-npI?ut2Z3ImLU!&kGX^74aS zl|=b=N7Q`e36(e0^INKL?4{ALj@+YQa^55eg;2utf*ULVCfW+W>(HqW>p0(pWsVo1 zXm{J12F?ht3sSOV2HY7{&v5{W{Jl1rLAFLU31ROfxCr!@Yi$RnJo@xQ06tRATI*fU zTiuZ0JW02@f0c=gUe%^MDQ3||=q6zH5{mU1xp}7fX3uR8HpAOVJ=9ByS7lo$r25ca zxi0p_&SbyQ?%^{e+W@!mul{|ennYYo=tVp`j18Wh(r~Z1UW)LdZtKqc_ifH9U^tdx zo|<|R)HBWGu@rF_Xj93Ig`>~WnZcDID2g0NjuIs)yq3Q^G;I6V6Xb$5tlIqc4{3}n zUF9Z~b5tn1>lZJXs4Zb~8OD;N3e zOdDP_4J-kxm3Odg@TJM>g%&%D;|+SUNBgZCr=sIn0_#A6d2FbB)n&t6c9=dAUUDhi zKm|2L)rE!Jens$yvOEFZ(4dKKb?oUn8C*{$Sm!#?_Fu5I=k{BVl$Y@Z#|Z~)YN8qx zV0?6cwEKnc|57P`LgMnFDwFcjn8VVoEb_&oz3Y3fv!Gef?yJqe=+<$VrDJpwu6m-I z|CDLp*w^i2p}9<~9dE++`B5e-u3z(a;_Q+-o^1Tcm%8uptu;9wVhSDpgt|5zs+lNi z3nBd&M;K74U0mk{la59KQ}7PPTRE5w`Da ziGAxgxm#?!KS40)zw__MPYYGK2=?Q!Y(b}4Fn)*Iy*C-q1BVNe#_cL$_KX>!d^x)vFmQV3SQwza z9oR9k!M7ENyjRqcHss%P;X@WG?;{487{4>Ry&c01bzO4MvfDXgzh*!JqY`D`&G7TU z<(m+CQOZ?}i%}XnBWO{mP&aYdtLy|I0 z%aFOb)Y&Yh-p z1q_1v#GPioZ^vn;IArB74PD;f7?|FMtO=rk!)qACK&R4$u#HmNme8aZ7|*%VQ6F$X zkgGAX!z;^NuptFvrI*A8Tj8N3^Lc6~Ogk5pZ@z|OY6ya`Y9O=jKKn;sivlZkQG~<+ zY8Mr+VtnNM(!Z}RAthVdSG%&D71bEYX(e}){l^U}%-z-u=mVR#z>jS}BbFXpTwDo{ z-l&yLR|5HVvbfr$!Mvh9iY?fAfFcgcxPe4kVbUT1l-c|Zh3K|bEUPrqtO3D~WU z(GKhk9ww*1$al875TFa?1-m2rr>H07d=y!*@H2%Ohe000Svjc5qw&k_1mJp+lC4e8 z`7U3KPzV37%iM$1FCXS)`86Ch;shoFo3n)nG%2_?c`yc@e>>v6WS4(r2-?$1h@`G8 z{M~T5)&a9B&T#^9{zv4;iv$5-^deUuN-r$my~?B3+jt{5HKO@}&i2zICRz%TlrQZy zGEagIS#sZCo35Kq5S;B4NczZ?QReUS?nqjLbF3izI~66_@OMh~JKY7S#r1|$+f^JP zdNO>YxwGD*t2=WUum-Ahm#=Vx$tFZ_m}^la5z7LI}ZZc9~4*e7f*&AFrLSpA=rC$X=-IPMO`ct2GoKcbznt z0(cp{)%X;z)u^(A^B*NQM6zh>5$eNfh1akdmCtYY7eY)RT z-R^77oT(onu={{Hr=g-btB3QQ0g}c|s@A|$)Gs2sIhW1rXH6;j3;FrU&b zxz%eq6EN=>aWZDO8!k3g&BxB6w(*-Is#(K*@b%udo#S*Y9qEm7Ri+~U1s)XTNKg`p zBH^0h_D$C(3u7DG9+b7Qs)Eb{vw@HKG zE6tv>(p9-L-MjcECHvR*d!$4Ni#*Mi$hhsIAk8X^6mV`V86 zZ^y^CooJ%xP`PvE81<~-pVh;5KwmFjDw>+8`#?B;M)0~a3kLuRFwbjqeTJNu@9-%M zxkn)do`-qhv+1m#`_C0Ak`O2QJRfo=S7nl$^s+ zdjA9*-Y9c3(v6qLWlPCi!ir*2c*zH_x&NN=L~5*7xrXZ)PHtE=9w_X|4h%#j*+q$+f2-l}4o z#E@ES_1NeO`$ECho3c5akpw=!x#lT+lN`&Ivj2u4QWj<9|47vQX6f_G%a?wZTf+nP zis;&~@m%SFA&{=BjeDA?d;5lMke4edBtj0pF)DQ#H;%4sSUQ$0`zk&K!*+~GYc2~F z<+U^WDi^X51PP%>__W&rd#1~v-)69n%{#+}wRLQhCyQvzZHS(zkxDL=UVHqCM z8YBzadmE`jX|KM;ypkMnkC))MG)DvrDx`@(kmUKp1#tgHGKKEG`~07n#xr$$BpUhw z*jQi3vcZTTDBwC6Wq;!=DinC2#XgWNgAAhgqj_7`IW_d?EI!hL> z#e*_j4>n{7E4p58U3xifM)=0we*lyCl<2MVkJREW)o)kgA2BWql{oFpP%bjQKk2Yo zIyLn-Wc|RDWVjrbO1p3*{$c%QJ1iCo?Ka1{ zdlU51M8>aQ6|MK}2`KP9YV8&j>&>z8wtu6v@)tK4qe@i9KMk? zLwS+-rdHU`dRG#M;Ux`=^se<LsU6dHFHxi zk8FbMXBt84=42N0<@dzoh*qX-nj5tUEFKC>)7avV%hfWnTX;f`28f?pO@n56?rz6-@h*9b_&!_KCdjLV5a0H;8tf3WkN|ZSh`$5J@UoKSr zW0`@|n#1iS2EK-Z5gDl6D~=}V$bFD-4wE=3rQ`9Udn9n|6>x_<94|f=^1$V!S23$f znyn?&UYg45?PFrtUubyK(DS;PdV*%zwmA9HXEbHIoMp4ZtWftAwl`No5M+S>z#$V+{wo3{vD`BGf4uSb;I?B1S2; z+Q?Gn3yX-&dC&_azDmS<*~-aYvs0rR*&RBt*E5d-?{>Y`!AZHxM46-V42(1X zf1*;o{>8#|dn_@zE#{D@^@vJ(e{8*7>x=TK!@8dTN7GqF#o4sY8h3YhcL@X^+$FdN z5AIHYK>~yqhu|851c%@f+}+(>gZs#y?_X;l&YX>OKizd-RrQUzJ++%5yn`9uS?_{m z30a%-fJVCQFjY;qZ!hZ{Ru%aPb?=3dC-3Jka#DMO&jR5d8t<^+&8yu%@V%sZCtSsI@-G2`mZs%pte1?5tr7kxXEm2A1bY0&->Q3 zgm``1&D|Ed_zSzfKI~iJf9HnPptr!9vVr+pdEwg^fvcxB$93KP5?nqFWHw(Wl7B&k zi@j=;i)d7P0Z@+R3L3BM>{1vF&UPQi)ezK|zAarW5<-I4&#?Er@{OWe=LZzlrc32F z`dLp&=8Ut*oXsUb1E7c|Jo{u)n7(>z*q@;f=RGl`#8=L&8l zIe)#EUg_>4*e6(=uzWoD>5SEBN^3bAHKYIq+pbkc%>JrP*LkVg)PIM+sIV_PW?I}L z^p!ae!1wg=WuwKly!Q3c*NKKIaJ{eHz0$E7u$U0aNOUS1BTb*u2#LI^MKV729^YCiCzWX#us|2GX|9nM7}g`<@iR zII|}Z8VJqzr-p2-=nbTtkWz4;=6nc^cso}cw>bF;5)aJF#N(b;GxxhfP@=iXRe+w3 z+8k*aahrS~RigQaar5kz0MkzE~LVp`bK8EjsFH9EGQpYFMmr z@1ld>GXk}M1kV7sUyrW;6^y?0N4$fvJ*4%{$$sITzOi}zaUkPCBD=$om}g6!s0C7B z>)N#dxJ_MaDxIAcHE$e6Zi)&;mF(h7a#Pn36Dz)2DoN_9w&f5UMD^)@d^L&-k^~d3 zXnTMz4wkw-bexx6FuN6hr)~+hu6;3uZ+|NuOAo&>H!>*D`=pXs#7VRe;%?UYIf3RjxnuvF zQ$H@F25X8zhbVRja;Ltd%@|#E&)cEw8>V4Tr(a&+$>J9wp~~Hd^M{IcfyYY;5WT`z z_`W_-m$hG`f0+H`2s<3kw$YL9kt2vvUd=Q)x>q6JA6Go@eBJ4@FxN%=x@i0eF?NrU zN>j^!u8LbcgsKnn->WTdih3`?LS@(!lfbAC&tpBvR0q6Wht`izi>-48+z|(7nNEcv z&xEhn?H~R0Y(>dmTU}Q)v1P;s@9)X?;o5^9Il5Nv?5mQeAn3GZAn+4v`+vLa%Aj3@ zr{ta?ToM4k+>f6T%NdJY_%9xK_rn;nyKTKC5&J3pmtCjg31$lkvd5+$4X(;)JxEb}mFMCR2V{w^`?jtFsUfC()MMMsTo{;{@650HNTN zQEFIKuFs_Jv562YFOxw8BS-Z>Z&10!P(YsvuMkO|SvMhYZ?{HJc^|u$d26+&_Xi`b ze}~AUp2*}^#N9Rt5!bjY{mV(w zz!bi3Yi3P?Mvs&+9@gzxIi@p-_z%i2^T&G6w;hJi+J zn=AJUDr9N~55hL6E1@d2AE(#b%SeclRQ}UQLWa?T$m_60aG$M9P8%9q^)E~MCksOT zRd+qm|LUFN?f-RL@Pr`ATG`r8NxE$YWdDerQ2CqO5_6DU*M0n-1rnR~{z0}Lcp;0k zhZud)6#eDWU76<$>ESEaFlgr+sm-4m@^ZpY&eaS(yAha&$_>d}6aDO=AlvtQ0l#x) zpS^elndiqNS@2Bu@+=9@{aFe_Zgj?@P2`tuIrfv7We?;y!p5|tW5y;P`H+^H#=!9{6 zxVdUjF8Xw51%yXw1V2#uR7jiV*Ey<8Rt+89ogmJZp>A<2d*&x&hs=Hydqi~GU~<|M z!mGw)5%yG%BZBC1*>M0Cjl0Qp+h4rtE|0F8flWe1Vm}G%Vmtkv`R40_sdUox9~tOo5V$zd>Qw2{B;gdwy0 z%(jCntMn%fxXN?4DCEwqGUmTgXU7o3H<^$<>;JGKH!tRNUn(7h3!1=1t|B?>-%aXh{V!7+(&*R z%{Q5?y60*8q!FE9+aAJyg1O|Kw6*uJN-;9=w1SQXPoC52P{C8gIAgkSLv2k@71*uw z^}4g}9LwZsGcHkrg?_$eqcoo)K0!cgS8!gBW%rxsk!m@l&g}LVMJSZdcRkzwx9gdYdXT*R#|m zam3n^&bMtUL@-Q1)N{NdFsCDO1WoIC{NQ}C9j5P~wvy`Lf|eBe`wPoIA&A)-!_@{{Y-qWnzfaY3UxHdTtYdT{lXg^w zZDNMcUNomHZ!u@C>TL>H>mdzb$B2VX+_$y9O4H}9LG9W7a_lYp9&l3-Kds(!1|WY$ zt2f$BVmuHQCFS+O>wrZgs~2eim*+}cZ@}>{g;#bp1TptvB25dws{?XzXaL#ryQuBh zcjvL3*Pa~*=)6}EZxj4j)ju3PH)9H}h&KXp(Nu6&pnFN!`w-dAsqDcqgrlJ2+_RI% zQ`m-`Xt8Mx$1z~{7+Ig zbexNj*B4a2)}Rjm61f7|Cg3vD4ovm^NqsD|6AF^C#dpu?zww^G((q|QwX|le;6vPS z$y5tC#IG*?QS=UwNEDfq9#X(pVK=r@BeFscP(ZL_3Ky7zvOUgRNEiCN%PsKH(8kCm z4M}iYIjWj7QBnxKZnk+w=12s36}!%y7;&F*kIa4>&f4RzM)HfR6285S*OPPy$E9Rq z{QeJVTpPhUK^+R<3Ry=#mGM>TkK?x(85wq5C`*qb#Pd(x<0%(r>hKs|fhH`w8Hrth zg^B~Z-U`1!bq{CQEhz2k63ujP2uULSrNrm6*21esEGV4tftW+MKV6M1zJ;ohCuED_ zUT_1~n%T}6yvNxc<%wTlkj`fW$ES~UD)aW_21p}z55{e6^tH%_n<;;JTX$XVn7u(^u+-DDjrfCV= z$#)G(I2Uq(a=-Zn{%wmL@kGXCXZk!D1K5c=iPNC=)4;VLY&t$Cir0?c)8NOL_>%t< z!ks9wV^e-KEQ0K4zx3PF#?z!RQKHJAnuw@*)mqEXh5-ZV!h?VexxU1AI52N_!#cI4tx8!1QkxiI1x)7LnqYr)AkaX(pm0RiydHemvbl!8}vRkoS zLl<&?GNXI&nG%zg^J-L%4-1U?G%}Za^$-cdKxubgua3QWr>1gv;IXHG!lU-4*aMRo zlTK;x!qvsfOq2?EkEMzf> zcU{I9%e>P8{Cunv8rLppvB?scnmxYC9H+zVYJI2WJ#@V+jVP3;OucY?N_Z5u!eGLt z9~LO@_q3PFqK^AWw_FSQF%_;AIbYw=Snb($8G(wJE(tWxA~*Vo_-Na203gKd5zq=Y zzWToP$-h^-lQR^g&27^5sm8Q%nH?yWINhuA5e6{!xdq=ZCIN!$9O;X>j@&PHrbSdN zGyT>xBOY}eFdcv&`@TL8*%uhvSOh6Fhld>SR8IDIEvY^p^(*{|E1I;*eN!U2?hF2J zm#^!7|7eGovql?LB-WMQ?^2kk5Uy+HpQRUIyOvSZ)UkQGrXj>k%2P z(9k{$-1Mlp4r+$iRe07V>2~^ERkrNlj7Zri4Gbsb{J!>lxHUAAXnwgE8l5U~#Q!V} zmGs}n{|yrIr+^-0(H_%U&8?-4d^UwJ<;OsG_J5zLgD5>^l+3}Md+W~3CJu}hXs?Hb zD$ta%IY7De2NA@S#h?ZeUYqumz+l}kV^-+W97nrM-q(4*sXoG#V1;KmrGQ3?6ht%& zW2+A%%em!wLH`9@yi-u6MJs*>>acqrDY0nY&2_>w+&%saGOx&4G!cCpm(a9IFBMgU zM1ol~c}%@A%K8P`B(}H>N4JCFg!A^30$o^(^bZO&-g7TBSUQnD^mPU(jWONmzW6EM zciA{L)voG$E#n@Rbn&+%xaru?<*&=oSEJhl%xL=dHb5e}rQDeiAxk^IQJcth{zs{s zZB)N`-+`l81!1?XiOrDrXWf$m@7nW~xf1O(WpjzY~wUO8}+T zKR4G4fHamGun@kiD#pHpCIt`PKCj))Ep2KtrF)x<Qx-@W}69I_nQeU_wd1Cs8cqB4`Nso z#Z#TW7RYXRpZ4B4e8m~IeP^n^DZ%(4zX5}tSZbiUmgJcN;v0<1?2ys~Z)qb%@JC+_ zo_|ShN!h5Lo(aHJ8h(#pUB@JOqSAM(69#Lx;ePVJWN8@2Z@WBsb6d4-SM`N*72h<$ z_dQh-ugtx%q0WV}=l{(?KfD*(fYdfSd@d7cfn~S;i~Nm|BQqXz1sMJA6!DaNUqXfF z`0p2-cCC))+&xdM_`kRredBK=N;ZW4S4M$M|0jg#32KL5tNj7?(`rh3U$iPZr-~EL zg}L~)_+4tig%C` zamS+fCwr8*p=@0<`QnCuN~Zzx;X@MSS6b4RchshqS;mTF-6mpUmWI4rn>hp0dtvlA zQFuh1BFZv_1Pz(%4aEi;IbqkkWQ;l)AbKjX!}<$3d%O&$9Tnl&G}|CUc0ykC-CuoM zKeD zKh(7eut=a5dy@leJW>-?A0XKyC1sn*mxNR!!QiD8<)Bv3n(l|$Y@Rrf_bn_>2SEry zoY$>A{VT|c1ri84SvCBuf3P>$<-FqN^nTTVNa-Q$Hm}ER(W0Km(DQaz6@LVr$@dop zJF7m6(3OOu0~49ET1^@HpznkNqjEl%a-D zx+SoL9#8gTE$gZ5#(0UKu%hzWqWhR-E z{uvJ}{xkFmsF(|%fIDov1pW(-+^K_FFTjiBLNawA7Lz$qI&jD(S|z!;K$`dIw5!pd zrIa7v#^j??07tHSM>DW`Y+>7N2;PUsiFL3IVjV%X> z!=dCdM5=gjSC%YE;_bVbL5nCXkg(?jHIs3#Z$^fr^|2dPsu5`ypTmKqrLDbK6i_y**o-yS48V%sR|-tOLcz7`3hhQ-Is26c%~<02B$JCg1&JJK6mjrgIEEj zFb!koP8-+qB!Mc*6{u8kje8;@ zJiq($T{OHE5``>@?TSG?;}5HusBT)5HISJnP*yTQilUWJwkJ!7OkZFjN-j}z1UhgV zR7>an2^KX_to5E$HR^~cYqfJf8&AJ(g0nSNoLjNfiHV8OE9=0lePIhXJlrzf$WMS$w*a<$QpW3#I5>1 z@&@KH7+!C&SEI69sJD_^SeADNI(_`#1oZ1D6}FLV-??&f%ZY!_d;U7H(&MD!hIc58 z_xg4023Au>Lysu6*$smSYur~Tkwi?pDjv>NLAP&FEjmE&7d@^PNMRr(cc8>n)?w2X z{zmcKYQxWvn5XooQDPVE>%6<9?~iX6?qT;{AWZuJdA$6%g3xnE-_c$<1|3p&VKMl> zx5JbOKc*+fc=B#ndICf%fV0&hskqhBuvS|dIRI*Ad_-$zo6OitW{=T46k5DEAVW{nP5HmIL8sh$tH1!J`de9<8q{w z#Px1S=l3SBO#Q`1@35enTyh}r&ZQ+eg=`oTUBua50{VA5Z2Mr`E0#o}5!9#e1XfFI zWILiw$T>ehcOY*(yjw5iQt^`iMW>K32B7$avwCB(uDrQn6WgATA4C^aORM?KN8R!{ za?IDn)xz;0&;H5yrXVe$>xNoaaMWLO%sJPk8#5YsP?q4aZ(P#dU)Z~Xhul3hV~z%Z zoHAldAVCoKM&+^qp*?0AP^3hO{cxFx$omFd$BiGFNCnquRksQ0E`>IRojYw11Y?W>Q29rsz8#O49crlwq;y~hLCNC!?@l*EV=FAXa7**Gs0INT zxz^J$4y-t`D7=38rFS=Eo7loDgV!_QD&@H_H)nCiy68yh}b{bCkxcU-1idV9bq4 zN>PQc>D+4(SHR&w%@k7bEfJEU&-9$pb4s{ilGT>}FWn~D9K2xq81#VKsy?w}_Hr^+ zSUycHV3bhEr=39cir1hoOM@=5-|8!>^>!ER>VqhOggto+Yk=#sf@BpLFH*RS1rMeu zk;S|U!<=pZ9q`Qr>7`m;RO&+ewXOcBl`-!G|56+2m#?l_z|rfvU(eAq?V}SX}p4{+=1^D}li}=ieCJRf(EfcJG{@JOSPa#(R{6tAe^e(<>}H|__1XY-`QG7anO)5w1S6441bkn7kD&=- z!++Hai_Q$Idi-Y|z~*^43&WT((f(KsD4u88M6?2soJXuBEt7cqVxC)!=tCE^$Kr?b zI?fk+!s3V0CyAU(o^S(Q!B7;}q+j$TEDl`1!SM3r&^GGdZEXfglER8xzNEu~B9KTU zk$*7UZD1+k6u4^6%KfMLVtIcwRb^h0*k8itg;bVpv4gnnVv0?C8h?JG6+9PIO`Lf^ zD~9t&a$m$?eX)c2O-!|h6Uv6QnnZiuU7jE2x8F~mciHzUVw36vAZf|KpXc3QI^bib zEsI~0ZMxLyL!U~2aZqNZv){w&@n9ix0Z!eeVNSUN-%UL~7YI2EQ>_C_*PHKYM$$R$ zoBTE3)yOkMX1m*dVmv<3KR00gYnuLvjJXyn`9?;PP3!GqiSy7O{p-+(`=4#vVLyt+ zE2|;$ADAUS^u#8L9D0KWIC?PmiH&WbLl%H6xn^MHi9A{HjRiD=Y2BOdrNYG+Y>qqs z$@bWx99vcC&Cp1e?&uiY*VFKyLkg8^xPa5t@lqHh($1-m?zOKodf@vEz}HR!ofrR$ zo@M4S!hx6EkRSA9_l9q5N5v-E91`isn6P}6ZnCMX|w5yTt4En7*^y+Mdde(S~&EzLUsm#=~xS3Lf)ywt?)~?LrD{s`E_z-*&-Ui(fQd4O3Rvex1~PPkSaX z6{MR`oloqWbTG19Dq=}awmFt26Is@O&l9vuRrC+IfL+^l0Zcv8qVyV^i`0YN;OzM4 z7b|q>Y@U>Bg4NuismDNXUMSOR=ATGmW@3lV60nW$aKh4h$&Fp4T9*_w(*<2{(B6~C zmU)q$O*dc6R|i*0L^iKNV0Vmsh&sHjBO1r}1Y1tDy%z6vdGki zuKQy{=~J#QOO>HTi2h&LnXMA$>F+0Q-7F=f_s3_lnraZsNi(&gw*U2g-IQ!*mZV zNZarJ;C&0#Boo4md6kh#6?Z(<1HF)4@d4LLGp!%Rsg4P~=J5);9%p_QfB*Oyr1=*& z5s(JfDu#?mN-w#NZ`CU(HhQE8A5F2J!;CQo{}-XY_NNq0wv}CSuFNu>K{k$rdpGRO zL3`sz{TuH$lG}1QUsS4;25B4hC3fCh{xzVfo9D%ja&XgL?e|T`dID8m_>H)`%1`XS z@Ah%mq5n498!4nfeWNxF-qTX1!`5=qSlSYr%&`qdIW;`R9tvfjP4VIVHy;6}(2od? z#*Ot??J!teW8#+(OrRv2u~ff@8GK5bCI9jjWMeB)B?1HDg-A89DTrz<($cf?crU-J zm81&Vwg0WIsL(dkW9l;voah3pECI+*dX4MnX^7{cTYyV>8WE0ntBknrisNq=bcU_RMJtcb(?>{yNhm!aW|C>k zpPmf}uPfjlYpcn4`^8gjy1{%X$44cZnrJ){eGci}tn8!EhoYOf$&p=UA+b(xrM?zd z(JxX0aKjENn|E481W0rhc%ZumS&uCI_*N*RA8ORmD$JPb-2S*fvjIi#)tY63{b8El zU_oE!Po~nNxn#Urds(mPnM)HQwX=!YANSD)3jXqaDHzKS`A;0zbX>~yld(X4LEMtf zm-1R2BhL(gRRhHIs84@qxE#0%A1IM{nFnwWC41s@v`K|Cr8B`W9n|hM0ecH4-ynoT zUfyT}Sl1b&M_r+tT#9?u+iO+1bS>f=_OC8tB=5q~g~)LiH~=o<=C!VL!rqAJUP?BoWGV;l`q`RzbS; z|IY$w7YShprt)d&)X7xa{mr}RnI(gDM(_3_>eF6&ZBgxX9NW;i_H`kP#Cq8;A=*f+ z|M<9*Rc!!zVf^Q)Ffjrd8tOS!qHcov762z@m?+dU!^HCV%Bo%J)vRx09@DLL3nbCJ zDT1Hm-?07rVa2<|A|@huC=ph-`$JCSM1CI#(75Q!e?;7-!x8&pln7#R6)}i1%&-CP zGpLUjVcHLBk30i2yV_LRTOJ1A%ROu>JNlIq$%qU+97|h*t;2tChsHPiOb*s<1W;0# zv1OW8vv|;b{{Wz=^ZtBsO?7lp1B8`JH&OuHB*a{k1)f}&4YzXvSb4&M`|ShaC2|sV z+x}8ycQlTdOZ|d|s5pf%rW@paa(*?VB=JEuu3s0DmnF8+S_#l}Tw*lRQ_^!UhpY%K zO9MX0>t6i;y0J731pBaJi%oi~1&KL|D7_vklHb-e6PI%2%icEHa$#{s{IHh_dQ7So zyIgN#VNiRwp&#)~7d|TJ#QyCA@>y*o(kvGCAT_;U8eMWUV-E@D-yllP;;~UPKdXbK zhx+FuMNx4tz)Y$tdH>8daCjtKrSaZ*&*p>!Hpo~Do5<(ZX)qHh@}#w!nz)nfxi^h!DLR!QdycQ5F628?h(B~spbl``R1 zD(PjH@?swSMoUv(v%pdgQ#Qx%hXd;!HRM@9%KM9e5t6mwy^4t+k<%09`F=S$PtzaP z{@%pUhJH$$!#&>YrH`R14*ijYAXaWJGC=(a6^pE>tv4%9D2{+&A3$)WgT$2`Fu_2; z-7bL4q{Zt(M&oETpecS;GCkanLX#wEJ8Jp&-i{}yxcfc>DBWFLJf6ji1M*ygR=<@a zGlrDJtA9(f?TONi`1g;icdt*&UgkRM6_)nxJ2I)<>P38F1=KDHG@1ei@Wf^QDvZxQ zLHt>&zX63Mjj6y42-9c3h^nA_iF4rly3Zgg!F%^_muN8E^ylctPo=C+GfGANzGF5GDx5^g(b8-v71s%tBcbmzNVI0;*#`nI@22#?ap) zKKVH`auOu_FueuJu{{}+1PSbS*&&co#Z?X-d2rgrj8iA{vc zQBkmGSm+S3;cvld5joe!DdF(bCzgHNW*q(V$A-G9?vVE&ixKZS^S^|S4Eyx;pd#hh zgAqTYU!RoInet$*z82ITz3^VPyoQGOEQod6N!AnHre(El=c@X;<~59~2w%d~ zf&Bg#l*C_c#MCPy1FI_*q#h-?gM{vx=Kip5Q45$4U=Vy?2-RcF_aR6mlQekj<#>U4 z04H#`^!Sc9!j@{xh-YMqGXd~j*`S+%@92cA-z6?N5~Y4`Y&I0bB9!bnqnu7@5Lth| zz$dT35I$8ZU|Z$Ruy{&(t`B+^}`6wkF zJhz>v>nYFc+Ls;+*?3c;w0o2&v^=#8wu856c%_OXhm0gr=S~_;3g9n6HbD5bQlim= z*AEBUe4F5cDk{1P- zP&|hAbE&3X4piU?=J@tT|rwe`h5u>!-4fH)hORz3H)z?Vp;Po*P!+aI*A*P!Y! zl-TdA*q|5w=Av%a9ex+KPa64=Hs9A%uU~}5jbZ{Qh27Yuv(^M0A9kcNCep!au?`!5 zfASt@(nKJBhV306JF5RxRaHgN>|_Pb%R8dgjbmcb0<`i6TCw^Bad_3Y2q(HJ2ysd?iJakra+-NqTos?R~Uc8_yP zwCtLG)Ip~|Wwe#FSeMy?o|wG6qNq*%wq~mIeS-IunmdR@v=ws3CcdE)%7`@~K;3D? zJ~Y)-sRfg2a$*!jc#ZdXd>@MLebXX|Kv@r)sB1Ix8(W2i1V?`Ho}aTSI9-KwKdn3K zSmb5$?_|x#k~?{LAn(N_clch{(gff1Nu#ZmnZes*^H`&;mknOAwaqrMGqu5ZAg9R# zo58aP*YOY4n*S5!mr!Yg>HMM+BYc8EhiO{2ACX$v&0;~YVysHsxw6?akKNwz@PMS$ z(G@7>PpGzs!WiQfhJcgdu*p)Zg@uq6=o?#+YR1S;t0WR~A`UVp`V(pFUJv#1%Yp53zRe=fXkTpHMUu(^G95%ltaRj) z?Q_Um2}3W#C=-vhoqo{^tE$ap(-ZOcV(^cbbA)mHdq{(?GHF%=!y4zX5K+SzD|^C` z*ItB#v-6Jwc-Epw13mws8Hh5W6dwZnY?(1BXQdR)ZKt<}nc&R#F)0rP)A73tj~FDi z%l2-ascVNMTv~g<8O%o2qeIXQmqyp3P|T59AENks-BE@IQx~xFQe}D&EKD^&&`9jc zEclk0Owfi#xOAsK@c)d;Cw#c?`)Waxc`p*xeCjCG& zcYxMEZMCNgjz_d44G(h3v5$u!SnnsY;bo)8G^Z{!@+Ome0ENKNqfZ~TK~UmK=6bZu zIoH?di%EYW|ADt;qP4ub6_+r7iY150>-9WxT*z75BsLS?OcXXO=(zZ@_uq!JY}-;? zh-Thj?2h2HCdmd;gc9 z?_ZGoF%IV`QRJG;)Nym4Z)klclv)d@paME1E{>K6;h#!FZ<@#Tm8F5F5 z(Bw6PvDzR=N(HDfTXhBlDKS5#?s((VKS6RiL*4jv)u@vg+lZ&McSL##qWwV?70tv< z3@G!e8`><77Tzg&VB;uVGC(j?5@w`+$KYrP--T8wSX2TfZ`@` zULH1m!Nl-JL))J|GHm<+Ha(g#@(&J@b8iG6a2G@gkF5mkR3_kQU+PU^2a=}<18D!`{OA)JI?#tfsOxpU;hm%8P;-e{`ae>rirNt3jx3v z3o+`r>0K)H6^bY0@3+rw+rVI5*J0f~=K!kAUU9;n9!yxer?|0^)bI9%rD?*U-ggsF|AoJEx3!s+-)tmNN5 z++uCegvy@;9RGdZ_8%5pTQ9JVx9@u7MFWLT7NVcRlp>%Ql&G&ykiyVmYUPKA<61no1@z9p1qVDs*%16x&1o7N|IsWzI z>mN1xA2AEI`}P2)aR%?iY|#-G_+sTyD>9<$218=LR!kJW;CCjCfXFexrURae(Y zQ<skfFXtxd zL0e}uXf&8tnar1A_bO|xMd|)Te|Rz$O^o-G(%F641Iw&U9!K+r+n#W8(SZP|CF*tK z=DC9D4Y*h#2oW7Y)z|DxVbo5D)XT0MOoCCMLKgkk0^1o*N3oec{}}3~wWfbD62YV~ z;nQe`Q%+AZkZYvA*M>N_P>m0#ssXksRf+<+sl=^gMQ{wfDmOyp8yE1>xejBfj0%4O7jb zUiVZzt@#5q;#qoq4~<_+2Nw+?YTVE%V!*}sT6D!djP`(TD4O0G87ac-l=FK}hgZGM z`hRC-=-x{2!vZUS(mLqSY!55VSFDg%|0Orcpo+(f z%U$7Mskz%%}rwm|G@T}*N7&Oo$maow#L&~x5vc`S_F7ywgt^f-e!w2~q^@Ig z=XG}TW%67(AGY`7mBCqo_fx)|=2p3*xU?PSR^U3{MBV>%-H46$m_IpzTVDnqde*c^ z@Bh1~s_VumdrUJsBKhR1m!sSSX>hdcOkXvcoRZ)!Ao#ESL@AcYU4@nu#8B+>=RX7%Smk>45EL}MXByZ+knz%>HJnSx~q}k z+JZ?|X~i0KRpCwEW&^K?oKS7X$JNHq0SQ|qJ6B8qNI+yzVMnU29ohE!>5V&d2G%jc{<6bJ zb}-3&81QP{t{?_%an?$e*1Y32&R#w$QQdfND^-HOqYM3TVFG20P+`hl^qz)Yx8PH# z1XmUpnIfvlq}P=8`mbQ2Pa>xr-VKRtzARz2A4)*(XfXmLZ}%Da_q1zuX=q{&&-z~o36IBU(`sgUvY zp4$hg!(SmLNQM$v%LHmfB?y3Seyp|O>~6ooWi(lS0-W9PqC;mzok^@KAnek4p`0mM ze&Wn3o;2K{27i)$Y$5YJErOuMZ>wf0em34WM z2Z81gEsuYD`7{r-pWQxF$;d}cccV-B38@>F_A%cXyR zA-*KNkas~`DM9Cj2X*|DcFbW;F=Km=iLZ`ZS7FTEm7JAqZAl*v5hSFxV-^6 z*2t4a;0?W_6_{O)X?<>z>s#l~{vqSE(ejOn*XAyyp){y464$^*w=Hr(TZuY7!)>-m z#z7b7(}5?_E(~AXU1RcS2y+EpcqX0Hhr*NGKJzdb86e-wC8Nz}&tAx?UPaWlz zCaNGu*29V3moHUP@!oGwS8>A2LZk_bq(h>Tb$3ar#Uy)JCluT|PDGZFcABbhdf`JXOQ>dN3= zUp{cjpUL>n((uCu)W+|alLVsiTdi;=kA7N0v!{2j9diG_WmNmpp7uqeulIHt8UT0U zuApfy-P|-x#{fbp(jNVgQABkPJ+1^c`4Ycoc7s*qp`Wz&atn<-PN3mPP|Rk`IrOC$ z<{n|La2Y$F#bp8S4*2kJM}(Uy_>!ah4GmRw_J5PJjY?WnkzS>5R0V@7IF<`H<=RHL z3~cXQcf48R3uuZF2c)5zcpcWUj?>xG-A%-Enl5WEvbEKdzm$>;@~XRGE%cLa7H4>M z-EU5!!psXP0O0$^4ijS1GrNg${gOX!~es zQna|+!cpR==hRFK-sZkb`Vr54_yY@{RdW&g+Yt5s&|5=!jf;`QlE?|t`5((+(xF0c z4i`op52kyfr!t9qNaVB>s=vpvFU?+P^Qo-J0#7HM8<`5VKJu^!GWq5yc>)7ARPP;3{G?O*U_YpaB;F9Q8W` z@-KFID#M&w8VZ~^;`Y6KycW9vAQIK}QMPAl*vEC;hKLA(6q7wAe2(2D+L;o|MOB{2QXq5(+!Ua0<_SyEm^jl1FIP%+F- z($gZK$=c`c^GCvNTlaTQ_wiKkU={ zu9ZTBqt3|voEpFEI0{3Db08Z7{kkE`xl-1aa|9eiHt?25ZsZr**Zh zuRDLwBQSYB!IVX{2}RbT1x;~{V?D@2IpB4BqMy8XjpsH>P@2P!r_gMHw zhw$xohQu*OY|T>)Mp&uG*RTLlpTi_dB1J(im(z$LpH1US3@$fi$+>}Cp^UGz5F@&1 zL>;)$Wm5xlRUQY}0N?8Mx$oGDng2f?*h0(-nv_rGrw_H z+}97#>hVg{y>p9S{kY6BZW4|=|IbDBZ2;GWD+EuO;zGvb7+i#z2R-J`O8+E}Ze(M9 zNK4XaFt9t$CX6*sx!E1oySs~+;{ML{wRol;AY%IW+34*QmYXfy(E5MY?Q449j~o z!_Rl=V>*2nDZsxAfC^;2JA}v@ppHMrxAau=6$N=!$svU|Q}$R{sd=7wi&@2Y{yDDt zZs#~@q&MUJM@eoBsM_lRm?a1G%Rn7K^c+nc*I#Cd{Nb-ACpl9AN%ZwllELSkhxlhi zc`=hN49I_=i!6wCyFzQtHmj!{7?Fmd7@I=|?;(PA^ij@|gThWzCA#VI!TeaSqCs68 z)(W)LU=yKH?q==Ms z2}4V_AQD4&cQ;6PGx6Tfx7PP}*8I9>=9=r==ibLIQsZ`b(@AwB#$dGiSqoqffG|i$ zD>D3M_y5CN{PjG#6iaeisF4{+Qe@{%U3n382S~F2nOo{~!fnr53qCbDab+}!=x@Fz zPI#B{sm(40xZhRcm3UCUfBn!YG-)#5%z3)PGpKedS%o~Z9s{0SnNc&jkb_dj3jqYSp zd_b)&PRiveDo=~pto{Isu+_F2C6wWo$*S`@S!%sp`{P=`eM{ae*ZM2RuS^6hG2M20 zMJQst)b4iraQ3gdif?DX92V^mXA~wDm-7&-&0hc~3AL0rLMcrDEJWW^;(;-t%~Jm; zua~}MCmBYJji&vFoJO`Qg#E5o|MM;ACucw@jt%nI$BM?mcY@b`PmQTkHyZk&SZNA1 z5p-G+v7Q6?LxcXyN&^`p8}Aw=|BKo9MQl@?BjccA5!UnI5L zx6#B2T|INUrEuO}RMH(WtN!LF3^$b!kxOqURaFhRB5s@OGV;9Q!->!=CTQ#D*znu1 z;WR8ylexFOwn@(u#%LXWX^0&#S@SWwy0q#HGcLP2lZ{RIK3op-=)Ftj47s`t5W&Tj zGhGrvIr+I^4)|Ep+C%N#&Z*uZ=g-4%ZmNMFkc{dT76p`X{WaQSdDiCh4&S$;+^N`h zeS@Ufo?+3$(QN}OTfd6%`ckqO*IK&HtBvcKc}43-(?v%l9H`lM-n@V0`t>u^cOi`_ z6P`-Lhj)~X%-dTc^_jKvrcJ%7{z)|FoOIUo?eOV(eORUROz<;9LR}GGeoTjEpaok# z)Ay{=k1gLWfB9CwTD1PG0)|SIZ1X=aG{@J92?yc?P|f*gB=6&FGO;@cM??U7!kX#r#;*M-KT5AFvjYPI`9V zUzA>4y^kyAVP1#n^N>?d{7Dc&Y^;f(t1f@ZPyZQ6MO&--{`l@sCE5C6M|+|dSC1i6 zvQA=-OBCia46-Q!lhD=NJ;oMq>e)rU0QhW8=>DGOiW)FH;0>}uu>e~HSBbC7mk1dpS(210nBw7 z;!LIkpmQ@Kl@wJ?hIeD7-#~qIf|vT@BiyZ zI*Gz#dJuN}Hr?m=hNPMzRT>P zuDg0aYlkz+CG9$_j10U1Nxzs$sZH-zwRt+*iSe+QVf#$eRPxmm?XdI7`Sf z{$Cyv@AsldinOd+h{L|+hu~WRdhbLK&e5JDcn+TW8&s*)y}6NCy>9;RbGeV=C$$hC zNZ=ktcYP!>_^O&IY5sxy1>X`ltL)@Q*6`{mpw#RS3p#hg7J16cyc?T_nND zLgc)%wJ=$7z{=vg04%1W5uS+<>!j0t6lxSSdVwwIxn>FOr+9)#iJLOl`P=wZO2_*QPqv}Zd`4S z$vw@W%XT-WYFX_UOt~~3g654gD=(ULI0Mg-v(b76cQ+hSd7i2xQ)mWhjowiWaXKERi7`LG)g)I-o- zFa!8`Y$>lkc@DlwD**_q?`Q(AC;2C*+XMZxMw2SM%j5oi zw&gHeM&hL?BLAN>s%)IeG-r~G=`Z%t-@)%O%Ym<6FHwM;QV>nwht;<_->F}^m4N5AI1GJfDCYYI4D7npwVi$xX%S7iuYgi5&st#N_SEA;Fvs3V*OKU>CtpaYD*R zOOz2ez&CyN4t_!67%qSKc8!C=d`mmuM9dDIx;;W}r-V*Jp-SBAt4RDnq zv+yGuI}bu98$an!}&e#vNrVZp&NK50Vw9jZEd zFQE+GWgO{_OZL^DQt{$xBZia4WWj^fL;2cS(*X}8?6sud`Jzv%l?Z*JPBwhyVpH-py6GU#1xxU zo6!mSC5zza1l}&X-6Rf;K~}lg$7CfDf3{~%nvfVJcDw0G2>4_9iT8pDu-1Mb*PBqe zC#u{7En}xn3iH>vMM>J4{HX=!p~!)Ig;K_po=CMB=cgi8 zYEKMQrXLNkSWNNnKTY>5?kxJ_Mj^e>{oU#;fJrw^7E%}7mk{y>kQmP6*di+e zO@O&@?!Ofua5bD=RDNE75g=J~!50tg!+&kLW5dU18aWb+2gv2#bkXeK4RWrXW>Z_7)UHqr50l$# zPYKx5Av9|KzRkwol5cNX6A2OKM?6*BZ!3}DG8D=$VZW4ubKs|DN%|nmt2iB$=Rs-9 z<|`y|P|~ZK;TbeMiCpg1^RBmv^Oc6b{(a6CuG*?M<;}FPf?1w5xd5u=E8K6W&LV4V zaGt;GUCpzI;`OONt`=Xk0`J_ojn{T?DST*8_ljvr*@ zqB1#FRA|#mc`{e&VAa;qRa(S2s1LZFRI=NV!z*ReE*80B0AQyXBHValem}&{gVCnF zP72TgRB!{9D~1?%%WE>^UpUdE$Ytj%#96&&0_juedr(l?+MDFid_z2m9quE0Y zo!e$R?^@R3Ra>n4$^~u(Z-R3$5yIbUL6jPGl+c6Q@S)6EEnebevBY$`RnhT-gRXgk zA-NxHpMb(zw~gSDlI2I%66yo~*1Dtxbl2@z;UR7f0CIR!v{M)-Nf>s}jFTs_^*ZIQ zTUS6tZ=uF@TT#$;OFl%@c}+sTUzA#>>`n&jGgdeJ%P%=xRc9zolCC9KSis6aQ|0r5cF?>L3G6_kVkzt<_O=H`tz)4D&!+ zaU0maZu7rgYlIca>DhE9s{~o27O3r)CVly)!WW2Zawx}pqM3~FHmE;q0QGW}h%AAY zAXJmLF2AnS{_9xu*@Y}2zEFb_O21uEb?dnH74wn^|i!tu1wg}BbO0+2Tgn3 zDD+c~_7hhUFP=ZzqwJP^cYZvdGSqS%?!qbh$mRK&_M?tzka@D~W^PY-6mD%Aq5EqR z4HJ*&8oHdI3?=Kbs-3skZ*~+X*xuqdlNvoxr(v`@fi3+pEB;Ul+BIAo@;lPM4oqF% z|8r~#(<%Al2#II}j(o0~1u`mSWk^wi-8aVh#Xa2%PR%)fIRV$lM^2WXxtS!NJ5w5< zkH3hyKIY|*r9(}jK@{7J3Y3d8<1&U!Q8UYG?t3FzcdNhR(cq6qy@x>K`!6vh?COXM zO43*Nu0tGY-JiawjRoFL_qW$$V(>vA$Je}{nP^cX&(gT*GZ$)}t@AW4FzB0O5pZOh zJE&CXo1?TmywS=xQ)fso;ZsP0s+xDM_3FRAHR<^Jof0SCJS6v<8}eafZRKROeBgO2OKJ! zvlXtLn{u1~AmFO}xczT9-R!2g>dp#SBvY#+&R|24QGE@ti!FndFk_NiVJSI+>coC! zPruS!+W)b7GKCQ47ONLXvme=t3ts5xN2iV=mkQ#H(s-DLAPP049=-^IQ4WaXsWTI2 zLP_Im$eaIzt?B(T$_3ift=DvU75TAamsNS&7CaV@_ZLfIOQB_ z_|D#<@r`(lP;!@2P0iB_0?mu7f{OmMW&=dlq=+ z-%5V9U#s5k@|Eh>>(}PA(2*>M6H_^a8k5i+H{^W->`Fd~6>6o(^k{Z$TqyIsc?3TEitzl*t({*Jko z)y2k2;Pn=_Fon^$eF>BBxzX2kl&78s@oN|)UfiMHCpvIFAezD{Rec#1C2MzoZ%taZ zrMZXY<$zSnR9!Aw3R&^MZ#3P?3e{k=^kvi5dwY0{SYM$^(vWoLvq-T?JW1XU5dx=o zYa->FcK+o=7r%-0ZYls3{9P;N{0Rs#GYz~^gOjMU>pH4 zizKk#vnBKQF6+m^H|$^iF-hG<>T;g*=aP9J4au?*F4js!AiDXYM9j^x9|U+>dBb2C z-m`Ot&P8#ed-|S-rN2HM=ETmZuw)mWC#=nYHnXv(d4u5@T07$s7XQYny%s(nhT%!E z_CPNBJX3vPwx@+HR@ixVbBDgLUw;L`0&h9Uk|r%*EBb9|k@duxWjQt)e2wNK!-qRP zO}{x((GYlUGgG3)J{ZUMoIyGe>lI~kOutaGCrcAshA#z#7|HFxfSa=bvPHbdvam&(O{Dr%><5Q2T5}vCQ1e8!PF0`=iHVrQ-pu#NaDaflXcBPduhA#k-`1{|}C40G9M=b%XF&#al3!dM=jx%B{1td;| zrG_kbWelrECSF1#Foi7^W_nxRe`%1AFM=sA7H(v5Ko5Qf*L^D!ChL4rYHK@bnDefd z^U!(-bp2$m&ipDOEu*=Xa~cReA8H;L6znK33fr_ab2^`9G4>FH2F~4<(|Yg44htdu%b)Hp<@dLZ9d@ z(D^>?Z0(Zh0Mx_6Z>li~CiUu|uOj1ZyDY>ga8}oD&c3?*Rb)U~*lTo60b{y=eHrY; zbwywsVs8gDPiU%9N)4%rIVWa{S`^FHe92K+QrdxL^oiuDAFiu4yigaK=N9?<_2rq> zPP2L-r4}@0A8}R?@cC}3k3nMs@{i?vo=FAPX{~FAl}EA^ z&7H`F(MJ#)|?XUms{wCMY10a6CRc40R2GoPy4oJ|u7L*Z>L$uH| z;RUm>p7VU{*6XR^1{W*h|IXYIl8^eYClmJlPk!sY?i`+ya>$r;A|4~mpouNhMU3MD zh3tx`f9W~?yBZ6Aa390JY+|xp4KN{4$*s;_Hto_k<}v@#LZvb##qQ!zZLl@(HJtLL z$w=-htGe{HoDfsXE`{Ng8yCw}4X_0-`{X_dgMTR@ej z7CbdCc(=VFB%JEc&&tuz-u4=UoZa4b5wClI&|!Q$x9&bJISZs1N@}#-*Gd_Kz_yO| zZ)B!_hQUU2B$vO(wjU>IIOjWCeN17)ncaCtN-A;QfkxsB^p<~A231HKN!gHN0Vf02 z9D!^HfOM^FTo3Yp$T;)^=7xGYZt0Dr|6H*_sq?r)A(I74EmD8x-k1ogfGSmL8PA*k zdY0F*WTiE?9+Xhu1LAs0^O4{w8Ml$Xk7r<(Qh~-6nj$84W|Gpg40N;2-C@$ONl#K0|AbeS9BFGx7Sa0d5D0o5FO``Vv=^)yRFutOak%_u8105Z)F~Y1_ZB}Wz<%(uY0dIgXquBuv&C=oBcke!nS${SJpbo*P?DrX(l1~q0V zPXa_N8auf^%{?@)f?V!)`u?DtU4N^*@g{AIL23Wo6cQw>^ET<#1aI+9@WQ;or|(ne z6exTPf@-7|xQi~|{JwhCIQ8|ob9Ogs)th7&9g|t){IZ%DtEwrzQl)98Yna#~K4aph z?49C7$3zAi%vB~Rre4`;QvE4@nVUu`+4nC36g4gZi6b9#Yw8d=F?$@j$6sDr8bXoY zOE~z!H$bzr1E_#nrqdFfQau}Jt3B?6P7mj3o}4H5uznDN4_Ea_!iKRH?O9>Q7iflU zy_E<_&pk%B?){pYgr;`&?fX<;JXvGJa$MA!xoMr@65weUA+S%~H8)+8-fF$V#x_!{ z&fW2fi<=N`bsee9tUNnC&<;(Sh1FYmJv3#AxGXz1m7XCtp4P}CL~#WqRo#UaLfX`_ z!_a)OuubGULl`W`Ong4C-hUnIyooa${?9T<#v3Rng|)P*`#S{N6bNkY^8G`J^QfXD zWM!?JEZ5_?0gf@^vGBL<0+S)3629ShSbhUX&oP-lDNsdLS?(7?h&ft|j_8TE_0ajF zy)4qZ_`4v)#ZpeL$u~og{ExAb1{_2>u$2-}5DvKe?&rKue84bg3n!iC91uM7&3@2b zGJeM5$jFv8(9ZFu`OcxS)UELPHXnS&Il@k1R8@wb|Gzq@HZ>92x-_^kMKUHZl z8_h022*5$Mi2hs*kpScnmSj}^BngqnC3`21MDNkJ`3Sc_56z^dA$ zYM|k+wqbDLD1qp?7rhA}^lUa@a`wd#wHhrDw3}3>bft&KpB_!smRQ7zslIZuFIWvu zy+Cc|RgeFHAXTz z(w*7dlKF(s*gzP$f^IXEI-P2-GN=UcqA_p{9ouwskD1ZNgO#mh8q$U z8;-@UUDLZ8xUZ}X4#+os3#zQ3&t8r8Tq#}@vbOH&LrBgD{={r#`w8J3lfbA%T+Fm) zEhR)qzK~~Q*U>tVe)_SZC=}fsBA-sazybY70?-yTD|xr3{x!65ss`<3Ac0Y!wD6df z_13hxz>L|!(T-k;);IjWbU$gX){<#ejaJPwRB`6C(koYKR1D8iL!EIGNuVMlz(9nt z0Z;kEV3NV$)_VS3ccBX78Kdjw>>$-^y|_KPgQd+x+RT;nuw%Pl238n&h9iuJk2mwC zO=3<2VaGr&p}$=2N=mG&A{SIEt0{LQ{06I)v}%|*<(%$83VtnMvKoJ4d!?EyeW$0c zV&aq7H5*{ZotZfInjQQHUT~Q_p4_tPe|rKnqrb?Ds$Xs5(#3qlqhdO&ExV`0I1l@Q zZoAg%OYIZK7~tr|(5Vq5yyk*deK_jQlDN;#HysA^J{mW2F(9acdJy2Put0)_luZ81 zQmxfjICtIGe}!P?3^QO(vOcKGfq&QOE<-3I$sXcM<%lZ40A0kg;VXS`BF-Wa* zLP^FT%ySmjmtZTQ2Z8kaT2X9gz;F3qDrnpIaSkY=Mo*u%yn$120d^~v2@oXVwA0Db z7jiZ?`Ts0{M}ejFtw~cVRW*TI0Qa8*^63r*P zWWyK%zM0C4q%GSU%Pue0gqZNy7oYVa(^cp$&1q<#=PF zC}LSqHdiOI9$MmM)%5lZjb!{HGHSXtKKjElSA9z5_)3Yd{;^%f2@15>3jW&O@9PWA zU5zT%g0tEr_fxNT&!L*G0;>cNHB2EQTha!dMkvOQx^IG5p|E(o;>^)HfVRZ}D^KIS zi(m|hZZv49tQNW7A7G4U;^*k6qj2}2xxOc=8s7nHd<3qesfWO|>t5Fi>M0!G2cbv| zMd<`9%1YOqO*6AF3?bEVi#R7osPDnZGo%(Mn}R{>2xN<-a%!DiV#Y?{1~-!7{&=no zl=Rj-6C+UkNL#av6D^LGeKr+(@Q$Y~hU*!;ZN$;r7HlOO?e}!jMB+sPxYzOo&MPVk z^haX1!hw7Ddwd#JR(!G4Shn9=<>JDmK63;?1MgF8ji0k(_c)7+p>ou0sG0cgrW|`4!V{D}~bY357166ooE5PbwV(hUW1 zg{QRYKHkHJrJCN=k?T+AW45&SB)*OLA>g3UpK{gt`eGJUR0W!TKCdDHda z-t-df%L^6k)+HU4P_+eOY5U%(Sl>^p+?KS^w38IL)2JihAgi{?BFSZ^rjd)~Zg~ z7KY?JPvgDZ?dXcYnYI0ut*D&;1ZhAL*13*7b^9KUlfgwzLsj?HyHL3BrVxvSMO^Nh zj8hV38DiX6%o>>`q+FkfOUwk}U?8)4dH1&{^%MIKC``*Omw;MX3^9vKT*xOl`d--c zP{-sVEVx?F#8;tHG;H8&{f!L4DnW4E zcsIqpv3Ta03*vvU5{mpv&>bl^1F;u!}IGnag|>Z(qcuGx->x|9^XFz2HoEBfTY*R z2L@Hl)nX)BsUB_mZSda>7*3+Ds+-(f@hLOL8}|L73L;vsXHuBu=BBSNdN(55E-yI_ z3*tfM%N~`#=RVvw^-k!9Ea5nz*Cht?DgLUCGv-8=6^3(Nxex8A#` z8$4agzbt1oZ}Q6`HiCf+v1w()lvY;Jd&K=#G@JF;{@X!tYnIasp-)|lZ`NJF&o&&VYtLdxv{uXG~u^E(BDDq5^o z`nNbCk+9b)`0ov=Xf`=;tVevY?@Z#l4QtFoOk#X{Q)b$^T3w3IH!Qtjcr&Kqm9mKQ zE}E9opZDt};58ZPOr}^!#;Ocr!=fw(dCoD#yqC0GOk+F2y9`3GLQ=DW9xBeWyl~{w z8uO)k3R>?BxA!1@^@GO(|Ni*@GPP_^5}j+WTCD>&l$Y>t|B-& zg3w+1o_n6@S)r*#?b)P7{Kv}5$^;=CGX@?nQsY*i+D|plsFYiKsFa`akQ!w>vk9y0 zr?hS%KmU1qg134l2M4KA$GYA3CD?Dc5eJnjW6lqzsWX${4XZDIQ9#GGlJ>$!|E;7{ zryZJd)C%Qg2CCb|Q(p2u(m@N?(@edZGkJqTKYflMVZTb#6eGskI2!Ot3GD6K29Ke+ z+>)@q?%U}A%JB-hixsq$+a)lTp-OkOYt%;o^r#2{R2!9c59Dxbv+O;)#)Hq-5YK`6 zUPQelmKXf8HD*;JXSM+lGk^W3Dyx6RRK9xz!iDQsjW6lIOFo|0d`ji6+kK^$sRqo< zi;auVK~mTIyHSnOnTmh(qoJTXpbN{J`fY5Z?%nr8ctT|S-;@JXa(@CW5*3vT81|BE3g#7GOSx?A&) zkFQWD3>wdooHnoeged)$v$b7QZdGy@ik@UyZ_<9*=CSV}s)diVgsBuP6BLH1*uR)c zR}wet_&kY1DQ1J{CoZgI#;_+&P=k|sPl@pSgSTs6Jf z7O>9R*%%SAbhwmw*hxD4ZBV^P3|x8_BPLP@zoXIORjLZ>zOF|4TIlm%hPJ2U^aS5@ z{=}0oJ)T*Q(e9`AuMoSL(e`c1_>z9?W*Cq3+W(_N3CC)y47tCB#3DMieCAF3E5-J6 z!``;aA{t8om=9YmsJ@rfuq4gYx0x5L82t+|d};dJ`8YwR0sQj)gc5K!*(MqEeH5Kg z5@B8z!sw$jq_=D)r*?U>D!ZY8z(+5P?hJB_`gdVu8~4BIND8^xc$at#Sf zww=n?T$efwM#Fv1^>dOgH%;W-f*yag+d2P(cBNxwD>>2G*O!BQJ`|2ywPX1q(q>7; z7u)^TniRDI_#QJZ=avB3d60%MZ7G>B_mejD12xNi(+BY5kA2R=R*kPsM!l(@jb;RxNGYt z4N#As7n*VXz5wYrz6$C5#btN7GuX>>`zHVK_Fz~Dht#Mu$Qt_Nn|rEA2)$LF=`w(r zU#71!h|6b;E(K8Qe~!)Z_|=tF14r}W+C&M2!PUqQsO-_gudwiw!^+Vwa>Y6cx+i+sBL8 z!56c9;UwRZS&yb$051q{ltmc9e5)z(=4%Y^oT8-4@?gOAyxgf+g=^p8CXC9t z)s@_%7}~aX@u*w8p^bubi}cB@+3vK6mn;TUGt%l{g(_gyVhWS)VgB+5gXfadd>V0a zFqnays@f9IzKJ`o!+7HrCBC|A6)?&`G5`;4FE z#&x_d{I8iRJ-_{;rABUBzejXELcAFAXae1gXYF-f{Kbz`NTin`?nnJ@=+v&@*m}Wy z$TY=v|17aO8@-}Ojo_nE7QgQ++GsKAqMQ5e_Ght=dPg+GV#QKS_M-suXi8gz{PMl$;rYq)0Zu)on*@%)9OU#YMGKJ_Yh)8 zKjvLuFXY+FCjpb7RVCnI{H@>t!>Ya`!)V@oe@T4obTGc+hT}2bci2M|ePP{tF>X=O ze_q^rF>t*EqRjw=fA!NK+-t3P+EkpXLUUlfSIMu3Ceo4rZ_u>$0t+)o6aiieju7aG zzj&j9kI(aS@h9on5Ac6H9w}8py;Q2paXH_r0Wnk;Q$*q%rXx1!ejSPMoBQ~^iGN4N1VdO<9x)$C@x4F?G@m0;2 zCgLrD7RR3LGVygr3CB45Kk%dX3XZYaE17}Zb3~f)NY6vv_OWkhnVYmoBDq&fbRUf5 zilC_aRmrbK5Te*PRmExLJJ{kS-J=4_1++D!>kAm=E)*nMwzM?)dv-fC z@V_lfdO_SJ@L)9Rd$iCnUvA(vh**)+9H(2vX&qHUbCwdlhMI4ej%Ff(-ZQ|zq$CLp zq|K*R30b4mX(}h2kOLe214+_nN;gG}0kw7kMTiE}XelEz!RDZ%H$7i)FgXKCb_y7m z_Mfja#_ymA&FgM6qj6uI-qa9{sk$|IcTfY@EP8s#}0a`W<|>-)<%Ee9Gk@oMVM z0J_Ah+H*|N)~DXxq!Z5}rUs#PP|pT{Uf8@j(hxtR#-w->ju)Qf>Qo!2k+U};%z&Yvpe=;05+fG0@Tv2{}MFq}x^eHLK$tirK2da$N_s8E|$ zqiJ-|Mo)Gqvy3h=87WLIf408crRaXN?H6QM zY1#~)6aT>fl<+P->a^rt3t4LEmCHu+Kgc|ytlX1PSd6gfpiUv^Yju|(d-d{EYGaxe^GLCw4U=FnfPNG!t@- za!0%L8HKLNCDq%BZKbaH^&xriZ!_EC#hSPl!WTMIB>KwK!@DXU{M2 zk|-Kql>2)Cwq9CO>kukRfQ8 zWsZ%Dij{HnvAbz{{S0O~p>G>k?B02vB-^w7@T_`#fiVI~a_f`;+ z+rP}rRjYnm84J+H$9}mV=a`JK8=CqJBO25`VN1f%4XfWy8WuN~==??oQQi2-g>IW} zdvEs`yUDXSc80mIOdY6?m_<*CWkQalC%+&4hv~}>dOSD;W>Y<244|WX@n4#ciSbX; zPM;Eli7vVZXO6Ui_4JLHRC`Uqc}(NL5Tuju$An}{;ioSa_@u5J+jMCt&K ze>F!nHVWl<%RTE?Bo5Hik)IYWZ>RCp+L+=!r7r68{?6VpzAP?+P?SH@d>Ki^ZRhn+Oy@+^@=s#X` zMh~!}`*oy$k9S{{k5saDzxo?tyB*B`n+NxOItjtg_qi+V-{H&stJ0_;!_Paq`GPLv z>M2>zVF2uJ=Zvk!AWme{Q5b1ot0)pY)imrRM1du;YO1 z+7Qh2XRBq-*jPx*X;-O6^2(;_-dI~z!Y|~>>q(|`aGTy6gxbG#v@1H=B=xbQr{Jp6 zfb8?AxD0|P7V_kDe4UIoW4CAB(G5^N6m3LV`nx?CUL6{CUFJF@OhEw|0RgH`A;?al z?LF?pcrH6iRt~~p)*a%j9`bezrX>_yrhRZ#Om)lJ-?4r=u#uJ@z&hS18*}c9y;__6 z5-i|zZpMw=%X0P`uWywx4p-dZ(GJA5$=S5G4KU!%1E4NpxQ<5-Qr`nL>56^^z2iCY zI9u!X1-uaEX~PVR`(I&7gU*0d3qLY#mUy*1Rt>aKh$vKC*<{Q)hCf-Ue42k#@a~@5 z;=Mj%!nsY#;oAD#AjiJd55^CPd_tBOd)1n!Y!LW-lopeDopl@EO^SW%dXDFZI^RmT zFTBfxn}dNvDq>&V)|jf0s>_u|%zLJm`F1cb#gUdAJN;jP#|ke9kUj6Hv3d7gx2>NL zBg1JouXf1bB?*`ITUe4RA1JeBWxQ}toQ@{OB*&68r83YR4_hS~wTvfEg$}C04;)QY z_bDwJA;*6FQ|59`PL>XRrspO*lAK7?@s_`y!bjtlD?yA8YCgp|dGwU!e{qaxg`>Xm z3&x>MVe%t{zY})yT#`lNVm~XL03B6PokVNp(*G;!HKN@gmwFnprCRBOBP*NME_1AX zldNEx@35|>sFo9N>fipwLcGM_uK~?G2V>TKDfdTQra{l|qr5m&?*{I(8r!b8tNR_- zk>A32D&kvfAxp}Aw58B}(gwPF9^abJbjHv>8sZQ?m=Q z+%T8O+KeKV?|YRiA(w;8+$VdkYA#FI)2-W*H3AUjBzZsk?*e;$&;R!NsmQ>q+l<(Y zdB&1ls`FWDWK#ZUms802%JUWs__!A>saJGNdGj*YM03tsEX$M1@}v-SApV>ImwH`s zvN3`U{Mmzi|0`mO2$qN!0U{NE|e`KMosZ{23_VvY@xN#zSi>8Nb~gRjtV z1er-Xx+Sx32q<>c?V>mBoE+r=BIaqw{8kr@@Dx0IxhSPMjhGYZZFIT$Oew+)Z*&=Q zI|)Pk97r+;$|sYAV~7@jKPg_$gWm*Y^iKqk(a}32)&cc9 zayps`9Vt!kyw7d5-ba9`3p=RU=HUu@$7yIl%zHw!4`pI=Q<9;rQ*ldT%9Ng1j6!7y ziN|R>=*uGZB7VuzR@SV*#phMlsrsIpk>BfB|K@sHvs@+&Ga|YO@v1W3X}CZ%D4C5G z%jhG;C`mQ-ZWnvm@PUYW7L$^ak)$OyT~qoUK|9IY#9Xs~KLDGAUTfLSv%t-UX^rVn z#i_3}Z?80e*s1P=M-$VT(yEx=MntDy_QO9~cbIzr$rEq-f$Z3Z=HlLg-C+q5DpjE% zl?;uPw5%S-w3i%fOG}xr8z^(buhEUM%jashsaTp2#D#f?|9GnVvL9x|vit!mV#;i+ z@LI`N2N8K=KwCU)`Um^?ikvqWGvv0KGVrGnC2Rtxv7cZPiw!_RwM=R-X@8egoOERW zM(8!KUZ%}jqLnR#c*|e;tW)cHv#0%HJDGSq*ec^D8w`VGH(c81N9qq}YKqZOj zWoQhv#%=(2m36G`uT|RT(`baCZc8|5QHOX>sjy7pIvVcyhdY;;@U)(zo_%TobSB+< z#k`6H5ZN@r@2%5+e+|<)knM0X6^#dc>K~Y$Z83CzsuND3$RNRJuQI`tbzldoDS5vE zo@r{osgzb(ERw4dkvjcK? zu37x7`)wG0MHgt)AyL5wY&=w|ijh>2Oa~S!@O8V}$f)%>1n%@neG5t;znU7$)2q1U zE2x6!$sAYhXx#|^@VS1?AamCFUDv4adW=J=I?gt1Btu})Y7sb2IXtwf8BzgvO1%uC zR^UlPe6m!<_suEc!%eiuiL>6pv<8)CH%>49kB!B#dKCAMz;=Rb=tJy=G#9);9TosT zBLp4bP`>4L3V$*!cz{Gm)PXlRdN`$1d6%fLVs6i-Tky^jNBmTA{v68oz1_m?dK^v$ zuP~}=gypZv3d3TCJ@eY@nd&4SQw#^TGb4ZXj7!*JBJOgHFR2pPZ!`ng8PG5cSOJ1b z_R(fMZA@yBZfX6PSaeuVS<;r(TmFg}@Eb$~9&5|AmVO3{?19D28GrwD$TR*leY7Rr z@A0jwt{&mO;m&JHCJM9X8vrP0-pD=n6TkqmHH0}y;2vp-r~6OlE5J}*DY)v(8n?bhw-F}F3G_z zg&(S3(4>7+XGbb2RylMWzEu!-dn?WfS2d+p*r*Ic_N zvUiE<$ZlBl}kwvTl8%l*g8Ka2^>?a_!QqzOrvx&CYhJ4 zrBq@mlGeL0*NrCcahz@9tG(`hX@z1}`OVRJT+CV`Nacnm10&8umMFc3b-y%ikRLj& z9@Izl(h zkUfRL4gCH=Z_l=Vm~v@iAnYiH|24aGq$2IBn!o-9WWWlW&{2N78P;11K$`&F9M_MR z0c*Y??2l8j`CzB~2yYd#C)x4XeoVrj-xsABCXk6Ag%pF9Z{tzK_;H*&2p*UZx*hr; zh5Ey=S6k8%2%JU`a%d7+^$V#AVlSOF%s% z)BiZjk+|qz`Z!bSO`v8B_TX{PM<00WiHJqED|j9(DV(JLE90Z9oJUG)yEA!5;C@r# z<^BvaI9(nt1?10RsZS3{Vzd9u31%v z?J8>>rZ}mkFcW9f%)i@@(sDZgj1 zZs}5#!fKW?u}fCCsZA8I4$eZ-oVQF*)+W?yh;BW%Y#|z)Uzh&1kIo31*KG^^Rz(hG z0@{8&u)iLEd#vAR?rvrYZ_knGc*GSyrq8`>CM>136MB9nqfM@pb~ntWM_w(<-Z%T-VPGbP;YZDvpe{(_-iyk_ssYL|Ea~U{Zauz zZA1ESC;s}bUxdUoRjT2ru>XHFon=&1?c2ralx|6B9=e+$qy#|_C8WE%1%^gK5RsAw z2?6Qu?r!Ps9BPP}d5{0K-mmk4#ep^Vxvzcg{o5&L_GsSe7T>X-00*j7K;;C4qCM@R zwk3fEQG-Hd!h*f!f<*qexs_(zq$*=+ zuAX#1`-O5{_NnDXwV~9D9;%`~T6AH+5c8P|T`vs=I?`}>m~qA+4sp3nYOLx`MhM!P z^%^)RJ&mDoJ2qBLsvl+#JDG(^w&5bzYbE?9G@7`G=Y z?TxXF~Q= zK?#km(+|g4mklLc`AxoJ;6eVi?{gYp;H2%sBk=z^csATSmV zevz{rQf1=@CfG*Xw`5o9!H{q8&j(pPzSpS(L^|f@t~6b;DyV;!a`x``@E3aw^8lCN z`~R&SfE(e#MmBthx)TOU6I_%G#3-KHw9F>Dk;aBUHmo?W@Tb3DC{=K05P0`4ZiM-| z7odx!K1h2rcV1^*=vbv4NxdloI1TUqUDlojJB@x|wJnyRd-(ksMi!~Ey;SROA}<3J z)dKR5Uuz*O&-CCQ*KV;GOi+thHqP!x>W$S^VrQjA%H(_L&)&L8tXVc>40hj$cSOE` zltScd>ZWjrxMh}UW552uF#?Q?)!sFJfFlsg5tkNJ#ZR9{iaDr6?KBn=>IPBTOT7E) zuPbvcZn_4S`4YMQ@TmC+4s?Iyo=sql_LQ0HT*u^ESL8w?mwTzQq{?$a8Ub?2WDWSM zI37TLzi!P&EYov8cSRSonxJ*VH_eVtFf+^X7@-e#nR#>bB~^EKa!WQ;HHlRp{Ws;W zz82v<(8rKa0aZke9EEP>ShjS=PMByRle4RkNoL)ZQif}8t|(F;hvhDIW9L`0|1scAbz5Uxp474j79fWOUq!WjH0n(V$(#`_uT!YB-MUV|*m)|1@0K^MHhCWl zTH`=^V(+!U3VU0$`yu%)l%c8DMq)cF8`v4Fsi#|6aX&fVeKQz#VqT(mBaTmc{r#@; zM37|ZQn?9mCPp3PnDA>{e+iRxrb`6vraty_XDD`*U#`$>;pX`D*pal^2i%w;D??kB zZW=>P5oNpJcZiYC>EPpe4-Vtkj%ibSabRDa=pVjQ2Od$4P32=RYmtzjHLXBxd5#u!E_dXaO%Sd)kU_Yn|i zH$J9nb{PIMSOIOV$^x1H#w*igkQ)B(5V9r_YcCNk`{CQaNR$kVntG}O`oC*U_bvdt z&W9YCKt|jVOb^PZe;K?*6L7o4(XXUApjOqAQX$HjRG;TeVLx#!Xt3;~!4KNpwiK@H z{QCX$0(_b9_{%K!uLe$C_I37coQ<`$;jF=%Z?$^J#9Tf5lt~GpFW*AjL)X-s+W9b5 z1A3d(xok0HAiI3xHbhwy|&`x9Y| z>{OyJgyYi)eGAj5R(tp9(1c!Ww;Id0_)SvePnFi|BdG#W=G1NF6c*o02;m7J9v&=} z=Nz%S%3{RS{1+p0#O>){wJaZFIIax}lrtlDiA@O>t4KqTkz(xx?&Cntp~8kl5j52Y zSWjS~Dft6mlX=qRHEj39MaFB{r>INnU%TEJmd%MFuGXwV;?d+9njtQl;4% zd!mOiu?cGLSf3sOIx({Up0zpgjc_5NsN2Yjl2-WZY7`CxH&Fu)`9fOUcedCaw3P-hLX+Yc97QaPlV@4h9xLVy2hC zesjkNJHsi@WYD&{hTIIl$}k2IMUSnWEGy?dN~Lb-TcGq+`{Yk+$4_w&3?Cdv+@PUX zQ95i9SpUFdbK;%SgY{2BMZmtV>`%jTjej$#OP%!c%gyqsRasZ6b}-^M zQ#OvO2g5dnV_%?L#q8y%y(CDJVst3zXY1)`e_~Hstba3>anBzH2QL2hR=90D1{DrSOH?ABaZ|t_zairAG@Sj%@pz40TRS9 zpae`IUkj-w)J-crV2vf z(FU3{686AvuVpixIJXo-GYFN%hZb;1rpV<}|9KxemsW3g+FsY`@_V5Ov(2RRUc35s zge@na2Px?&*`{f1#u8PJrINbuPcm6b&AS))D({61;BTMZ&My8f_W&ic#UAj${XH)| ziA_WYO6YB_(=2O>sL$r=08dR?LQSitIK22(xS#!YBU0qm!G;ekLyYY^3WKwQYQeBD z5AJ}(^Jxbh1YXLR**V0up;!QwPrS2 zlK@%j`oDT1r+1YvZipTcKs4Bxw+yhr-Gpn}X9U<)MZ8NXn?zP2bX!K$eCqs?s34<4 zA8`5VpP6%uslKJTdsIo};v**S4wea5X5P-FUa&Ack*V<>vKP4X05Wu`g?GbwVQQKa z4$(Ao%OfERKzZZ)Fie7p44ue}9bPn}x6G<%8$Y`Qf__KI*$WGOh(pWK-$leq#E!jn zy-c@Cd|>2qWC(BOc0}?l{l2iyn8+&puupx8wfbeH=NFbS!8Xd1dy|({-mo1;lTG=G&eW9fF$>SQbW(_XPgE{eVW3 zy#+k-U0?+HQ-=hu2yWHM=Dxq=6iy}=uo1pJrawolFTF|Qn3ctOiS$R2`_2l+**7e# zz>0V}Vj`5?0R~woos^3BQkO`NKDj=bmwTz2MfQn< zJ^CfEBY%cu1^qZhAT&pH5mau{Sb_ioS@t*G1@oUsReYE2itE`@e$+K6;HN!Kx(${# z&6g0fACj{TZI>*fV%fNl{3s*yCO3rk%ai}Z@f&~GNK{N3Z^!;vmyNDfoar88@8t9+ zYT{hlpPjgX{P|JqLG&l8@l#T*wPfNrDpQv-WFzpT0UV5D&$u~=S;qL$6y0?Pb8GPR zE)M6^#EUaV;dJ#d8vFHp;KqyRtsV zJO4XFT-h9Xw8>L-?k-HA9K<&XkG? zbMl)qOJ@8m_pLRQs2;Vy6Hun5MZz`nb?JOJgDTEuU|hFv=-U1>TlUDs-rY!op#57G z7L|+x>wWqM^BqlUO=a3SNdFf_BBhrywsj2+%h#3Gs^@*O>WJMA>yS7T91Sg;tFGFK z{e0t5N_6z1CoB+l+n@o(he%Zr{H?kyM57EDqSM1GT@R%MYNp*`ZIryM;C zw!BT?>r3G8Q~mN?Smn}Wo`^|Nj?A(kRAhiR3BiB1LHTZ!ON-_bBf2EjEl2#ZfO3F} zNU`N!c1N7$LKNXDINMuM$0FaM3>EOdNPvQRBb^E+q^{Ln_*qwmbCWDJ4z6Nc2?{;V7&1Pv<{6m^?4Q~ArIPXsOok^ zq}>YGsRibs2Q?y2s^$LMx(BArT!EuKff zsWe-edab+a)mbpzcVtx%EZrpHD+8B9e9FX2Zow4*cKcwPsjNRmNXb)Z<3`Xug+ckz4dF$kq62j>>f z2rN4Xhq9MIV-?`IOZDATPFx+R{)^@B1db`d<3ITpnArut#Ggxk z@f-o}frd>Q-T3ku&NX&VQyg43KNHTKz72kbe<*{MO{Ki993rxAWSQc0Y4x}2C;M0~ zFPAyk0V84aNoQlj7m9vX7*j-`4V+2LNAh~3KA6LFk1N;n3h)~kOZn1}a+6Xz zw}gO){nX61as@&+GyZ_g^eX5A_1&MVD8koAISX=5LaIUr?Mv)n>)G+;h;y@bDj2Wg zdr`0HUyoSspHKc^!)X2k_|c>K*WEPW@{k|sC+=M|;1g?ntIGjqKVz%st-|vgeD_@z zpJ#?%+3|h_hQ~7eZQfu%;s=*ym7(t zyoy6ro3(T$2l`xh;pBeA~9HcH*RxhDV+~rGODSs z7sgPE+D{E*0X$(9L5Z#VUDIAMS{MffdMTMQPJD$Vrx(=}v4$F!TnA-w&N zHg}(BdxV5aQe6GE;6~625HK{~@IDwwF~L_RWYaw7`_^Wv&q#v51lgb-Ghc z8cD-1oqV4Q)UmprcIXj$CF6{qOs-U|ndb2eb^4~o;b7j{F#%xmG~SufLupbPv`_VlgwNf9?-RC^m!Kv1&wG<(7X=|pZKP)_XmOZCv&CTP0c6`WdgyYSeg zi01t&4Ff;5yp8xk?J&83$#vDWVCLH^g*l6a{*CrLEl-TgH&HlJj=Kb@3}37as7kfJ z3NIQaZE!tUM=t}uGT%W`G+!ka8m}NAA^y2ioA&H@LD|LfJcP^T1%9Ry2|NUO7%)mZ zI}LzN*?pyHnF0vW(c4Zi#wR+x3}>x|>&ZuOt&G@frb!5$kf^1iJzBPx(5K&6oe;C8=(_ zQ+b%|qEdMZkj?|Re2v<-aXkNPmuEsQ#ek>&cKfH2YR)1yW5?6@6=*%i`0G}lNQK>Z zRgBvrObae6_!ymlP}Yay9Jk1qlGf!TD{u{AxDCTgyGw!<>okclXgDoP?&raf`YHrj|qpQF_W{aBXe9KX7cDMfy4JMg z?+r5^^0{9+{Ao&uB@mZzGM*V)MA@`}HtaM~cgHIenZ{9;K-Te`K2^4HqPTyVPOuw+ zr)MeS2eC{UAJPtal(dI7^pc^VUu)VTOhF^`#nIjPoi~7UfHmjA@l5dkcs}-ErT4nh zv31IHrdD@yfM&}yr-Te+`QkKrlDfZ-`?hNE^m#{h{my!jRdF{;CkiSn!&te?OSS2#%D znzq#!xgq5gRo|R0H@mT`iY8;atd_XWEKsq1Wb@UgB2_0bLrhoT+A>G;wO&c&aYHUI z7KvO&mCqtjmww|8hSeZ;i2p>rkp3v!$WXON@8rpv*>simnK=Cg|55}P4VKg|cou=l zlJ)frPBQ6|D^hn)Ht#7uzHj9C7$eD#=)8Bw^&oHF{#AaFo}PTM-6-Dm zR3ld90R85j{sjT!~gED&3yAgc3IV1 zu^AvjIh-U>raiUfPpT6V?MQ>#;<_atLDuV6D1~wa$)Crl*l_mmi?LnqGi{y1JMw?kb8Xbtq(B*DFa5{Uy9kx*e~on9dR4N2I^mCP)LZ|R zm48p$5J7+TUMwuIZ3xL|P{*aULOUXQ7!Kp17w*N33U1y!jgvL(lQLl?yZ7l zpVKS+fMHx+?I!t*A8O0Ig@%7PPsj|qAfTCpZ(}@0Eu~=ubbq}6T2W|Ln!ZBL96Xv; zt)x5(6Q?gB(|rTKTB)l?;z{tQvP@|d7Gn@tuze7#iC$M2l8<^RW9}o^QgiP(b{cvxUOwgY{i;)`w%?z{i4&T1BRDO6ww8lT@ERd| zAMV2&3AzS=qQ4)mDcBFQ$3<4ug?n;TnXaqDUxlf6NZFaH?sD+>clFU=KeA}Q1=&1; z*)i+LPj!{sK{ogo?xF6g#K-9HSgRD}_U}`(TGu0OKQ1LWa;(&Q@I}Sqy*7hGN*A@; z#a#dHQZ2tXWm3VSZ@GWS`k|9;fCw@c6Gu-aqb|e~d z>nTHJdW%()afvu ztzPk!@YGEqOdkpVlMy5zmw_BI*)OBc8s_{>wry!c7>iR-JJ(tx{tWu(j4%t_0;#lF z48~7oX1xttZ{>j!zkn~@l8y}1hy5LLF+ZPl*EdXN>c9o!#di0DIgAJNFOBZw!|7YG zAk(=@g$AEKJy4oq-*mg>I5{~9tnKUt02_j(gvfEeZ14GjXujevMscC(a=7tN17>5gUft9Nrsjlu5{!5Y3~S zrX#%-PU2hhB)Rbrk3W-Z@t+KUi!%%pqU>BD2v6y$WDPQNS7)r#crb3oA$~o7*?pqB z#G!pk(73+wn6khDWb4L|4}V+$U12y$zrQnpm(p?QLu2PSurri~obGiOIO`aYU=+iz z+97}?EDQ0WjOOM7Fgco&F%OAR^3@Av^)lW02pjHQn~P1^K2SWHg9m;KKbf~8(!x+! z2+>*&fvD3anDqtCh7eGMbWQYRo)dVN{;!S)by5(PX#PAIj!yzc2|jaB#_lw)0tMZ2 z&PZ#!bo^I;+L(d|70d~ML@#?a8qG5ifVL@$S{Y$fvk62G1cbA{KBJ zeUl-TOv8PZ8H-wy?@cA+wY}h%gOGWtDl~}U+STHDP|?oTjBMyNkiaa4%ouwPm9prYm3-kGiyb`QELB^z$U0bRITL;G?^>MkKk=$#eEfXty({%C7%oaby)=iUXO5fJS zbkS5M{CrG+Y>ShtFb-kL$?Dxm``>i0KXV2(HZ=T)_A=%7u519l&~F$;CrXwC+W@NS zJ3LCv(sO2Zs-u`IWpHEk1p?*VD%E(vg3z@cb_e!*hQzaqY^FA{U~0QD{6Y|SGlsP@ z%B`!OB9qsAx{^8W1_)t8ekOsp^CgR3Ia*!e3Nb5r?1&aWC&64EIA~pcnq237%1(=! z3_8NR;Zu7I^mzo|nv(78`{oo+($*jz>}@N^4?;jU^{Y;SULy-&B8?Q_-q)$6y?W1c zVFWLrq1D{qn>=BiQVMU?*AA|T+vP8H2E3rz3M4}C3d3uMyF!eZRZP^=oOCwdVBOeBCln$^3x(0)3QsZ@F*w9;#8!zzFXt z?iT0c`-Nz4Z>Kj|+w|4w-wesjvHX^9#%guY`nxW=>)#Zx|F6uj6U^eex&C7TgAp z-AXPIyLkXPb%8<>=ufHVy?Z=yo6_GK{`_32_+!7Y5^TR$?}rKA2LJ$796vu%K?NBV znr84r5&<7+TpY;k33D%IO4{tXnV*HJi`C@1$|_uaa`JaRI1S$)^QCLfNBW2rlSB5( zzwWZjYP;+lo(92v*CeW=!V(A<@YAQs?C&i*Z{%e0&vv&Gm0QQe0RT@kD5x2tDR+*~ zEmkBYTS|F>xM%l6&I26Dx)*aXX8{-wY_ zxQX>yh?nT&4|HKJqeUE2F7T5_iK=s82+Xy>2-UE9zHof9k@2 z9TmbJ`|6TtRLKI3c>`LxVlAkHe}Qs=wcg7E5JG=iS^q-RdEt|fwAW+!?0nOEjje)) z$zK*)3?~tV`2Q``LmMF@oSfw^_jMHDg@}T+NPJoYT+1_`@UXv`a^RA$B>~j^$Z;gl z#f61|#S$rfsoJAAfXE*56L1Lub$&5ur{CNbjePV|6B2&dFTQ&azFgs3F0s`sHq|9N zl`=d2@sB=z+>dec1JHM!5{?0hpz6GRc54^SWQ@S*LSu*oO z%A?ThIlSk2mAEUKfKbHCJDVz8;!~0vKDzz0$uubSupsBE_=v!BrpJVMR5E=*BHV&FhJpw0-z`G>sDP%-T-$J+ zq@duZ0FQ;ps;k1kl;z@>M#w16;F#$99(<|H)yMaQ-&%I=R>%U_PcK7W%gN$A{0m`P z6JJL|6htTj>%Sbt@C|CKFz(tda|pg%d$duC8%3xeD)eregofW`tI7z*ht{fcR<_}+ zh&RaiIA+eku}>(dgWBV$wiAG_A3^MUe7;7&npScA%LG`&lHZjwrvsh5++x+;8Btz) z3FHo?K#gryp!I2~QTSSqr@>I?9Pfn#?y%;%9S|g%7I}k~&k$rzI-Rtj6fOH+=D!$J zj$MxU@fz2yo}ya)s#*RU>K5@`3X#z>%UXboxwzu>1!aByy!C=kj3~VJebAC=9U-q+ zrH;;LFC?k3mF1;MX9w!?WsJtcl0-T%C6cH$&O57Vd2ytTO=OAe_oo|Xy^)Knw`%*n z|J`V!%~u85CK6|b`Ucw!Y_m^Y?XbPx<)KfexfDmr_!&_|qZv?CSKA7tsas*jlVI&! zlbV;gXWYvOz`cHdXS&hzn}6#Hk@kbBrD`%r&|ip?ULKgT z(LV-ny^~ey2T2uMFp3id9s)etNw7p2fpL}>=|D%Dw(s*et|oWWDhLl|!s+tIhxBsO zv1Yg^)FgfZ2{F_|4j zEy77j62)wu7P6P#1CQe7`5k8HwDpUd4Z8OdGy9Ms34#2#bPH@JWdLX2l+ZO9s{?J% zah6HxAAt_(PKD?iIt%}(!+kEMdmn)Fb4_;519_#tw+t$1a33&QpXK!gNMCo!@E7BF zyXTX7V<1ZwY7y6-GZ$1QRjR{+Wa+@y{_MLzrwSWx;O>dokY_FHAt_WS!$qleLU9b# zy(oU!wSQ~p+cwlio^luBq}n|?0my+D|A+?ovR|&o>x^<9tnShao~^IaIWE`pBJj8l!gNit zV4WrhM}o6ZwzC9>>0y`an-1j3UgsLs-RA^-<<)!Jx;6I@hen;N^y-zvnmSYtNABuI z0M8iJrPp&^g}%fcYO)MWk-sA*PY$a73>gneUKw&Zl4{aBG+Rkvfr~_9%n-XqmF1fj zG_5x?YVFN>RNz8Hw{>2>@-8pv8`;R%)|bp!SUN_CUF{SGam9H4AU!a#l>T-k|ASi< zrZYFp|4$>)(@opy_V*ll!F}hY@hYQ`(~*2xpU|VzkCg=UXr!zH7b{xnYS8$$rZf&( znlViA@P$uN`;_2a1vVJ>=$(vyT>uA%9Ly81KVTUV9?>6kgXxG|qv#u_wbL5zw%y0LgKYmzbads|b zbO0#2ry(i=tv)WO&}P3X#O=+<_J1oLxHK?zR>S`)zh4}eRm6k|xMlOf`;dON1rL8- zwMnEbIyhbF{Y92lE>-xow{F`9N*gpgl4qDuP%%(Y5HAsPVuOhHugDMfZqcv^h!kel#ccsVhQLdqISk72i%*8}m%mF~bc1jOOsP{vaEF z*9E|qHJGCA)n%G@y*(($2;PUH4mS6iMju-+3Tj=LmJ97*HsnJuzA9rc|D6jndq~)J z6NXm;?3rfTEQjsBKqhT+p-jJpbgtR0D@{|~9k7GLCk4-uL}l7xK-Ou>pW$C>$zE1~ zbJyz>YWM-}6e^6f3PNEsFxXbtd{LusGm6R1~jsH4S(%i&sz**te zZJihJCow3m9in&P(GR^qZDShZ01{v4f=u43+Ja;8OGV)6QUVw4@bh>%C~)`JJz(@_ zHD0AiujzU#srUKLg!sWE@X|EOdzZ7OCGG?ugju$0pV@i_+z7060+4(Bvk|J?B<~M4 zloo?=*iw^^QFRGZNy5+NTM;WD2dLJi4BR*Sx-k~9AD7p#6#1O_N+C+@bE1rdqz5SK zMhoRhG-g36dkgh3#C=tby=pF%o;H)gJ^bL(?gkV3bj>h|Q>5wQ57rJ1Myg$hPU70I z`%)>#i!cJjPT*Ce$eWqhpEk;));$^tk2Mxca=EODrVnuPoPlJHKZgxvr=;F^;r7JZ zfM0DIUt*57HdIZ+gJe440`UFLA;VczI7L=ZKz0A5H}14cPts?P%$o;wzi5P$6CNZz zK`Q1-HzR6qXFcw!(+UkGx_^ngM{`AFq#$#O*(nnZ!JDv!wM46iK+QU~M+1{u5 z{T-xDG%r)zHU^*xU3*D>-SZR;huX=l!6>P6y1*d$+~3gwt5>k?p06IH8$HXp4=t;L zrIv2L)us$o7>!s!G+3(ACzWw$))-dP$aV^@fF{zuT$s#Etf$Gl>u|m!tpCZqw|a$% z`#h@Sp8FE>(n)sr#UjW^k51a~tL`|I#v=M}(EWywiK764)M1ybepd**kQT?Hx2uPU z`Z@PApmaAoI$Bx{Xbd8ACv{xpgd-3L$qwRZR!}+ z*OBkxPlE}&Z*}x3ayB)!8>DxW{i9J+(Z_8m2zcthzRfQf%j8j_e!BcI+y0pVAj~a# zd9Qit9#rMf?@#dyPCTBtba7T#qPVIVn331Jk4C06St$YBgfhF%hy9EgMxgzUv8A=O zrtBeXO}+h#Om=Alw(mnq!?-c-fnI3eXxCL{!C|6kkEp#M`#|gGiD;m zMf0?%SI(?P(@p2UNPTpvfBXln0AT&84c^kte7ySQ`35%Vi>+iV_fnhQ4k30sB9XAU z&pB)|gO(+)jB}}s_B+84KzC%-Oh}Z!4+6qilA!15giJhJMP62_5Q2v)`)1p$nlXAlCIZ2E6ZzM?UU&bp*o+6{+ClfU=5)QaF-4y=KjuxKT>5)0R1=-l1gk za*ygKjmMlJB^qDiDYE_6XL9(c%PH2@8ubprKpu11e>+pGegOf@6y!UdUDeHzCpn}8 zKx8b}i@;Kn86iEytLG!Vm?M757ZqRXzOWJeOr?9DyN-8db9_Vx>GjMwyecjQ^|sh} zYNxP_@IGpu^z1iOYVjwsHM5pFlGu>LMc=pcvCdY%gZq*lgSmPKp!AeBhDPC!rw4#^JnVh>2zc@ z3(MrrC37Yl?(?=FZl{pC6Zpta?@W;1dug(MO;7yq1mkz;(= zD{QZ;>Ov=ClcRq~`0%39j0ybN>8%t>7A;H2V$Z#G1qFDlP?n@FZ0e+56%WCgW|E`i z2I8J_i0r$ees0W*c1l6JJ?KyrTUmZd)}$_iyH!cvG!`3p)LzHU+f=$FE6>|>JQgx4 zQWGkW<`W95ti)Uny;@ctb%i|GIP_V`IpDi8;60|SbY4nogif-y ztBM>NO7V|>UNV3@9m2>v4^fo9P>Nt8J~G$-^Z4WZ%OX(%me{93QrSZ9WjnTdU|;YX zz_htfr0|e_id{$b`fB)^!=`9da8jzENHe2|T~B@5-pumdC&y|QlUjtrm*3{{N_Usk zxQQp|#83?N306PX!fE1Q7+{f~hhv^55XHTDcs2o2BOJ?n^3(BHrCMdqBj6~;B(B!8}uq*;Ou-yYAHWiBBN8e4%E;By!=<+ zFhPf6T0spH5*xpLQ}_it2~;nVQcZ4j4rLve+|^1s~-k6@1{e>O!ozbQ+xj z)dH-$>gQH%Luh&!vhNVgN5CiVF;5Ay^3_xWJKCj=elW%B)MbE*1Nofh#K<%7oN<)nDA>Y<(0iQcOr`!vY z%ZfJ3^hF{COO9O)%62mX6o=)(pAVjIM}Vz$X%H~CMyh^!_@s;f>@tAXu3F}AG$Vv4 zMBvc~sZ38GRTyK(gFU&Jhha4Tj2g#z3CH*6k{30`e!({*as|q@?Ww9+={^`ixVd%L zKNNol#6a^mH|Bd@4~k8nkk7XR4&K;54W$OaV&ypwGl9^-mMFnM9){IHxttpBt>YO$ zU67m5TmQ}q!gB=8A^$y8hL<@BLKsfVi)`e)>OeLIc<`Yu0T8R>E#=sIo5Mp3hz+^& zaW=vNyw90R8xQEYE+4=c`9Lu6WVwn*E`9f!06W+w`@=4W@x|O>y^KWG&2)}n@gN!& zX!DAVP8V^HiwhbQ)=rum?aR8AJ_e3lrWeVYGlzGba;SJ~y=YHitJWDVMKWpEA^z9n zjZ%n%HJ|$PW`OEH_ivSF`(4bz-J&-S$e{3nqm z_orrL#Qr?WWB#PFy}~%~_CxlL@AX&FIl%E+W-BTm;g^s8DL_MwU~d{GLtg6na@{gMZc~}D@cC4Iaj-`B9al@H`Cf{3$#uxjC|Jp^KpyU zGilc3SdT8ttAu?-DP%ol(ovGa;SM43!G7o@Oo{#%tBJSx745T6f3Fi7G<{>m^S#%Z z*J5+s5k*=~A(HOh;Paikin3;b-`d%dF_q?q^2>~ORA-1j^8dn28}tXh#%3Z;r~kAX z1b!8s+w88=|ET40@O@lfq}!p^`Zq5HxAu*e5#ag@8p~mHB41LMwxx3ciaV6v-f$m2 z;X0B#^KIj;O_@ijWT3Nj=s_cR((X;ZWbwZCvlu0lL3g&o?>u~n8snT&Man;G)=lKH zSpBt`xg@;UuH}Pvj>G?idd677SNQ-mV-WE~9dN=PfRX>|EW>;JV_lMC8;VuM-8gaz zw~ArFk zga0f0@b~ZO2z1lS1l@zt6rVeP^~j?bC)O>=o$DELt}9D_JA-jRnUB5ZZEyi-&0+74 zS%4yb0HnnJ{N#0i^>?9;&y^Z}xoF2F(|q9)1uTX!McmAWP1 z>*%LEInNkuRAu76c@D~iR?nkt&$EU3JXvq#jHeGLqM{5)QPL6`E)=TH<%pijQ{o*82~k; zE&9mA)r5}#RCyz5%v{(=wzA3li|E9Z%ONSV;qWltAz28vm|ap=4;ggjGcg_8?}WqL zUmcY3xt1o5zl|q=yj~LL$(a9E$I$L@q2xMiH|>=4Yf&K930D_|3f@!_wGdpTi-mal;C}zjPV%u&%xPg^% zMun+W<_Dxg1wRcE$ItKFLusFq{P_y^q#K!M2zO+Q6513U8lHJl(Hehnx@hbGG);^I zoc%yuj}K*L`<4na@->tEqk6zh?M-!pZZA126Wfb7Mz5;hY~H4VYBQC)fMh@B5iQLj zrv8LGIr6`O>b3Q2#D`IeTPf`tv|RN$MY0zli{kIBMEUVpSO<8BpohKGtimVmGoV6r z&<{W-_Eri$y`{Ek%4!Y_2v#w0a~7?z@V>pa?2gFzQIrEawOL2Pfm`H0ne;I5;aBC> z_+ftk>D7AHu=3@c9CL6j6M(Z#0EN!mQ}|yz!`&$=5>g7uZPKk$+yMLwYHf*vWUbf+ z?A*tQt)>3~Fb<$z)WY*tR2u!3qj$LMX5WkzauyLMSzOx|M{%kC4px+`7jHdvd_w-3 z85#Gaj~lI!0?BKuV>x><3dxy65-=-jS6++R z?7UR;rHXQfO&9d5zWfCQr z)$h!NQWtImzm9;Tdar{?Vhldk3xJ77SYx2olmoIS4AaLe6UcVP) z+5gaUMRCV55ZC7PrTzYI2FldgO$_B_i;ED&q}Ml7+_x!5{HSelI2BX$(yLefwgv1k zk7c_Z{dKEMMOX;iTVm;cDdy)h>1ZyM_U$>$n)uBGmyQQkjXT+FfZE)z?{5d`XTN0D zG*Mq1T~t73bcer!ur4wm=6;rKU7|moWS*0T=HgNMB`8|A1D^?!?`A2`uj${@_>lr( z5Be!YijlXz%|zxKuo7m;3EU*^JcP$FGteATu^uR!Vi7NXSWsfJem4jd^Cpqv=Klg~ zf9fmOl{Ws{mH+|edlEbey)GX58kbJi5*0uL8q_JvTNUDfx z4oP-@Nb#V&)t(@eN)=(wUt2_-R6=i(E8SMv(#F>PZP1fUEgiknDLHhk%cNw@{Zrv& zoS&XV;Sgo#mLM;+I05Gl>N3~q`^6ponR~`-fowMJ9Gjr2BBzgQa5vXsL&x>A_DLDb zg46Hb(+vw`ZpR;VvYn3f#1hfBz;kUJz}1ERaZup(VvOIC=xWHDRFmp%^7W zUled(O1SFZw06WZY|vllx)Fz-wM^|3y=~kasRC(A{C2Mf(oR})p`2mlLm$!u@DGFb zM{^KGZ4OHKh9lkn@Mnvq;xffr(GGXu<<#56*VJZ)7|uVm7lR?mJz|_brZ^;rgw8L` zn`P5Wdzas5k?xGa|&L#^bogmm) z6t7>yy1&CDMxT@v@jyn&1uvaO1GSNn^>M&;HYDv1tcTcYv;$*o%%<7Jfip$XRtow9 zoYzyKsL#CaNk~UwTX(4kZWW0O1?0pVcG0L`;%_|wuST1gKGXHkU{W1D4pT@gL0Aus z{;ffO20ZI+>wKAxLE0zhW)?gF%Dx+rghVynNX)&@l>Nu4tEUY_$F@;60TdN|3-7w? zIj|d@!k5|9rsS>Y+T18F>ctO-iYv&jTfq@gak1a7!7=X{eet<~xS}$p#QaCHfspsy z1Ssh)ZC6U`^?XTy8Y}aY#ZOYWSpXNV>tWyLCtyW&zlHtZ?~GGz+x>)}H{YNAjNbyg zXx*Cbumn22GkcPM-|ryUqxh1v1u%K}eHayfe0Jj&eJzZ%a`~~#sebjI8k)(W&20O z&un$LbcT@(qeNblPfvhd-4^Bp}h z{4RU!aZ^U4#~Cw;^=(X&u)t(A+aVHu+y_6F41X)d*uR6@5FOVjuY|84rWUrg+Vahz zlb7qSBvvt?fqB(9FIxt0Y?u+k5m3R7ps`qb{qFey)qSw4>kDW`S&l-3?SFx<1zw$H zlXZUYiiUJsVRrM;KzZajEAqjmM|5a*4Gj$#Bc?Nrhn6#O)f{#+vHXD#y)-}9dZ>~= zZn>9dpl_ArW+EG1avn)wKQ(BM^izvyr4+D*SD z>*4DReQr4VlWC2t91wco>&m$^tzF&6;L%;;dj2}vn0(^GkOr*hI$Xv>38Nv&F5Bk#v8Hs7wtH`N-6Q9VW z{NH0!p)IlAG+M>7bL&~@uKG14jBY&2L0R)^`Hu{R9+shgNseTu1+W-33qpO29Q96huN&M7mqLn?bsyQyL@`2?1#sx=Xri z=x!JoX5RgLYkhxMEdH@(@7epluJb$&0Lrh5AM1&m<_9GIUSz0hp-5O|9W!XH^Ht3{`Xa6Ww z%`deTeU7pITaHCKPG1|R&C?*vW1{wR%N_upGh3;D*%^bmEK6Ym7hTVfMsWke#kH#p z)wVXk=%T|K+)sndV+C7R(>zhCFJ%3@pI%WKkrOOTzDPtB(WU=SF7Qh|Una)O>%$K) zzp1$`84|0-1_6iR3f=-7TwiE48J0AVZ=jmQpA?!dO*(zc2=9rUos)jsesn}nP;kjd zOF1qgQblSxNcpa@WLi3{$sDA_`X2w5r*xH1@vGFf&|Unu7nI(B!c878aF#?}rm!=C z@dd3=g)N1`4WK(e+)hy!(P-(8zza9X@!ie(0>m1(@9JM_8L7Elh}}>>SGEkzE7C$0 zQ|AR|rW?Lu!=y^R>g~hhBwj~^OsK>LSNwSfABbz zBo0`>`HRpmazA=|=sGU^nf~pJGlgBfLpo`yOUug$P4rdu`t{vqX)@Y^(M@a2wywZ9 zOCddb>E$py@^as+K^sE` zE0j=tLYvjJ$#H$(X`K}S+d2F*KwqY^k)@WoKITqH#M8|a2BUbpG+tdZ@pq<>k!J>r z*M9Fc=TJh=Gl_%lk@v0WSB4D7rtp;J=+4XoJcwV)E?Mz4{Vp|{mF=kK{$p`KtH8-I zASLYTL0*2~69`(UR2)=bQ*_M-1AOPz0IK3^&;q^H;Q|f+P9M#lq*tY+?#V)&>uY?I zQGX+yJDjIU?*~2#;mqg9$ghIJ#-CKp;Bh^2eSN4kQjbjdLQL?Qd9!7h;x~gQ4J6M6 z)^fcF63vfImw&*-mg!5S{-q9qB!LqdP60azX;DKa&PgwIyI`SqcPhc4K{#8tyhgX7)JK_6;%|3xtP>)!xV$-bE2@^3xx6`5`5c%HW^>^;BSnps*F1I zVGZrmmp4B$&@~Q}*K1Il~o%%iu3}>f&LslHD0!y;n_Q44AesA zn)Nep>xt9jwRV4-k@ho|4yCo#)x|7#z@U=lK7Kr!)uF+f{!HIz=C%VqX!M(RqWMl4 z+0=0%W(7^YpSquhSzD=7ABd>ULl#f9$7~X!n4iqQyTW%)E85;P@zQ4KS!b0RV;^iL zf-`%QAyQ59Yt8q*>s4A)bg zV#D1twFk3U@qP-EQWvkq5dy|XIURRtAgi62LrBbenemB=oL+&|pXnm_)Zq-?QFJ`=q3o z{aq#Jl0n#zx4f|oQNUdit~!QwQ*>ycRH!cL9A^PmxBzy!R!0BQ>Os1UJ>T_txlwgQ zTL6Gtl)s*bA6(>L@bU!gBy>+-G{!X2QGnT&zh1sFLJsk%kMo4=D$TF!+_FE74Ck$M z@3hTaaw2kmWL4MLif)y_C^8|bqF2BG^z-gI@c5}#p*e}!*1VIJmTsu*fq^piYOvV_ zCTgDum$9VCqreNVNR9qWKVQAqmKue$fF?ZG9u3h{sc+H7r%LOr4djNvi+bm8)gPyh-`)Yt zz&Uw7vY9}k(Z^JTVmyS4H$ZoTjb!GUbp97>a3EpavfB-5d@>*5P?=Z_fMmVfGJe~Ec$)A21!}}NGbx4=~yFlS8_cv~=i!1)0MQ=zT%a`F9j#|LMYeP?t zv*f_AS!{#x`Ep6=fntaFv||m>CVeOqTbz_to=AY~`S)MSr$16TsB8b+_Sw{vI#0n9H|?Y9yfXEQ&w`V2UwS8n<= zQjwCHk%CY8Pnic)!$JWmn1Z zN%-$-%d2x@Z0^ob#v-&_?^8HT z>X09rLbAN=D19U%hTJ?j6=?=qyV+YO#R-$xuw5nX-ACk8tzb_%|<9uLWPxt9> zqD9+Z^*lD^nG#-hxQOjq6c+4*Xy_#<#meLo-iS2}O@PRkF5XVnmHa*O1l8& zQEi`4RK2M=rSHQgswk&i>Dp**0s&P0?{{`SJW@c1cLMqMo;nNQy?9TdwFeutef7l_ zxti~|{re@&_WN=J$n{2zJpl}ur-j%wo!@4Y{xf)p8Ec!A#go6Psn7b^IEm-Hj$5@m z)u`M*#r#mJa8X{&9NC(Q+}8Tm{igmFf=+mXG_%~w-6a^vSEQfvS+_^^s;%#Mb*Lgb zesdW4kU%HBMBO$FcGIkAwmamWiQf0k|MpJMCCHPp4bO|4m_sgVUFQC&>RCdm=&JBD z45CrS^SKh^Hn_ZymFMTNvSNzXx_oJfu5 z((p*4Q&K+uU`&YF3#8&($H|h_x9Z}gomYA&X8e(&zVQ!gC~RV#gz0sX?OGO3Vrevq zo^L#`Glu-P(HdzeERVfDK$I-jr2u-k+4Jum`<-RLL9q@gxWq5 zWx@_ruFe`wW82R|nhy_6%!;-!>T`F%yN>ELE6;Brx37jGILiTfVRWqphd<#%!(W>X z9GqBA_3&eHHc8i))FX87YXrX0@Qw66Z>QWKXc7GRo#G$wo(?+L(byEG8|1GAJ+> zsR9=LaUx}Lk{HBjT@y@C@4NH9c-zi^V$4A5Nrarq_WQv# z{J>djR#ij9nJSglW<&e3)w-r~yp6G+b#<>i>bg7UxBKidsnIa;<9btk{P(_m`Yi)L5HCbZd?ANe{ zZ?_PMBX!+Fn&1Zfy%+aJ1*@B<{->A|n9NvH6}VM_UG{?{Gz=f!V&R}w)<^@awj zK1STMi~?(X>)T~#@F%4!E-p6vA%U5t!VCYQulbDhm?;{8dBG^iN*(k3>$;CrA3l_W z*y}aw^12O@(;_^9s?iA6x=o&MKYW`F)U_2yFech@@vZcnxBdEK>KX^g$(!zPETv3< z&$N^$B=`s%$|N!hGx*1TTJn^5rwnz1c6TF1HtxDLu~>XmGOJ?A3n3by7LR zzTgS&Xikq4vD(41O@4iGjvXX5cY7@2L)JnTQJPVoJlb#OLfHnyYl6SLd70nFFD+WD zfwfOJ$F5@tE3OTHAfTvh+4&$l22Ktz+eLr6s{0#Y@V=@kc0!MVckY~^LA4&!3!ZS0 zPh^$fekY(~7!(e~a&(v(+ULptVkO^SUEK5=__-7j?$EwLCi1k^@o(A_H0b8!t}-}+ z`<$aE%(;IhH1S`aR>UKD9e9ObO8L}Kr-2iGv7GOfIr)6>w`Oefm6EhehFv7sO~mnw zrB^fLzMssC4s{&WY>ofUazZ(r2c(mJSKi|5sl)h64famU6UKmjfUyYShn>T9d4JA< zUr%?-)m`J7SzB}8cZ#H_=2m&|f<0Bnlt%(S)8%f4uzNe}HGDEYP2_E<38R0tddnyH zZ&;Rf06a_&=_JbSRb7;WXFxkh@G!nAhZuJILtZR@YQf%Tf_|qrX>gk5 zQ|)`JH`)`A#1S!ew(Wq8?OxSnl&_(N#kkLF=FS@ID{c%j*$L_7Mz()&*!3FkIn@0H zH~HZhQ`+}W+d9v8_hL@d{9etXKPk(5Y1biOysrv6+Go88K{xkIWl|AsL%Iq4I%M_J zrn<Uy>-;z|Al^Vof%6`J39pls2k!ms|Q~kTrgb| zMyoyCqmMUxdEaFYrI@_G?6-)LDg$`&Uliar6CA*)G-IBk$Sd;+a#pcQkD8kYztoBMf!3hFvfDP5`-h z0eCyzm{ZDN^vxHbiYE*w?3KTuESWg94In@txp{LUsj(45x0eNV-s(j$?)XlQPfv^* z@Y~^GEwC`abh&IKPfno>mHbEn&ZE1mh?Ih;%f`}|)WamTOd zp$RlhLTr8pJt|T!5@qR)n@VB){5S!VWyD@enZtJgB9zeeB9`wtd|v^Cy9O9)4f!R4 zY+-IBk$fj&<{W-lo4EZfaGS=`V=cN8N9Px2#@ZVbZ_KnD4< z3owPl65D0R^I+uV1Z}@MfRdb2h`$`})Cg+vaPq3Y_FjkXd(x+dPdADAm?(6H1qEZY zt`!`z%gL6S{+2lvBg%Slt9Sc%Es;axB^r(PmTH-YEKLHI@iDFhqgE=|)zPLvMGpYa zhF(co;*MyRA~TY>#4y$S8(+`q_EbEiavcuLeVJ8WF zetM=tPCtx#Kv+zgZd8qFuzHchxFv@#6F7h{=g&gB6>OMQF{7B9W;e8KVPn5I;dXBJsFSDGW_}@092n;5 zFAFgk>FAn;ZvZvX>W@3!zT${k27krY_(8fUP8txdPJ?;Gf9Kxe;;V7Ijh$we`pkUz z3ExSv)p1TWX}x>HO3@FgsS9eIcp@uQDVG>{^X_;1wmOAtbmM@4yKx1|l$QhDml?^@ z<<6RmQ1VoFY8j~HRZWLevyoWG9dM^Q)u3)mZEom}Zvg3lv9Vw7B+B-?%Z`n!ZdWr; z$s%YXcb`yOfu|;BJ`%o%=EL|KosCaufMHo??sVdVWNUlR^90o${m({5GOVisA%m>v z`IqJ%1dq<&5q5xzmZ)`qT=Mk%t)AGoWkj!uLhzooGr#AibA49!5zn!K>~bPfyu)M3 zx-=&&J%MjF2whzXNIt z5BcT(XUK1MnorN=aNk9Rcm+rm8sC^Q-aS%?eDvS5pETenPoLIn2`R}i9;SAdU=VS@ zT=pSD+1k+Q;8$x91()H&6u2*G68?XX!mYG zG&)s7kJYq4I)Rs_d|Q9+V+ZP6Iie@yq9?wl^X`VtL#!1#+$JcRNW33YS1BEq}Z_@o@2ty_1)1kR*GP^k#0_zuLZu z&_pOn_#oI@;~Khf?scBy9#b*KDT!rKAnt7k7gw_Rt7B+2N_%b?owIkD*E)1Sa9jp@ z`bh&z(ouKhSWeX=_?{sd1Q2wtD7X5s(0)g(z4J=&^!6U%oe)cFe+2l1e01ayJVK*1 z9+Pi(5ukOx*0|||r6-lUItpVSGdtn^sFEx4p_g}My)v1MuiB<^|l*H!$Spfg>VJ<{Mm42-px+y$s zH?e&@tD9JBK3L7rTgT?Mf+U9tWx`-RD3}>}k+)Xlt3pejEzG0i z$X6dihN6}&G6p}71d(Q2uQa(vO!zWXAbbz%)}oJ_PyO71vQliN=V>!&G)?+C4tVWp z*+To>1-LwF9KSJ{z>jS}6~UqS+H#?=bd-IGC>~C-cD*Oyd@Wor*J=jUpfmd_e=QS8 za+QJ{tPZSi%C+!}@}RuTd-{+TvNZ{^XICm25BQOHi7%yVCQz+sSCWR`-o1@+Gt6Wc zoN8g2^lIl*DTk)5&YUU-yZ?$?$3;K&M=$OUp|EMrCa7~oz1|tnB@Ma)@>f|#8y80@ zl=&|MUI{G3+3_=ErL9a(H-{yDHqm#Lr<4;SY2-+5SUB-s;WaKFF7g3f@>jQzb#gv; zE3^CUy5GGfR=oL!bwN}P=>j92l5+ra+08uq0A%HM_R|vfz9LhT<@hJd=tl}EPgXtUfYVs-V^%8 zn&#%?ky2>Bf-!5fXL_ef?!y-b|3&$?x!%2l&--<3G+T~l!*|@BJ<}rz$RD#Pg{;4y z=yFxO)O2ELJKB}kt#~~;rg@MzJQu;+n~r=Yj|teGd8t^;f-W zRG^DKcLu7W$?9fq@HM~+J_d~Jt(|&BC5Q2F98bY95ad!0s+~0R(~6W$mgpaN#>!;= zL(gydXY+W%B2dzqlBtukYAlPlwa;ko1gx7#<)#&J>6>+ssNEHr;fIp8ltl_D|o-N=1g{C}!!UE^e2R0swqikbFPKo=|+7Se!A;(*YY} zq;H!>G6sG3Ipe)$a_{@4AvRxYD!@DZes{zzsmmrGM}zzf2q342(^mYhjiGsLB4PbK z^>z4JXaiWvjQO82Xa&tt0k-v5Gav>T!&S{smGNdAmkcW(<=?qRGD1iuivbFf(um5D zxXW?3f4X_?Fr#^%3a z|K^<@Vy*seyZ8Zv!tfRJ8K}NzS%LSu3DG>{W)fuYJxB`IEL{P7gjs?Z#+##PL{f=( zWvhH?qWyX1R>J_E%}VC3c|v}`I>rfIB01fSi1&f}p1V-4{pBzzoy||daD`9*acKSy zlkRLpA(s_tme0^r0Z6`8!48^x(iUMCy~hGG#oAta!x zg%6PyVQTNJg6(NB!n~TWzy2N9d?lZelt2$;GCvzxX(w^zY$#)K={Rtt8(ULOude2* zOPm!%-^vH7s@n48k zEw$&XlRQSfV4RQ^j@q-VfPG-~0{o{M4+%@=f>roYCwz9*#J%gbu|~cnDt^Wu|Kt~g z?c*yg;7H(J{xP9}a0v;|_HR<$ZC!t=$^w=)RLX{Ba40G}Li5(;AD*ab37VDqn)#&1 z!>zP8PN40?`92>nl}myT>DpitsNSZWr{z{f(lWuy^N|a_E)!xY+aUbse!ctRY6aej zK^95pR=&9vU9VRBz}J{UL8jbyk~991SpZ@Akqh*(KO>QMLh9=G0-`L>@7LrEU10X8 z`l3aO_YmV4V=Y@qm~4hE?vPqQ>T43$cWl%oYmPhOAt%09gzmj`@WJ1@zkt>$YpEMjfeAFkiTqdp z&SwFs_qQI{<0Y?G2R{iR!q(jU-P?D*=BRSNPAp)--Xsvd&irFB3V?btK}2{|%~#d9 zhI?jqLeuGn=lnZ=mNMHOr+wmS*1@Ze))aA(sML{qyOA` zJ;}MJBHkW2=f^yKwAtKE0=%sKhUACb6eahd@Bp^cZ3t zu5^i&)oL6u39kFtoXF01=HUB6QK^{JulM3>))?^wIqIv=>?wVi1w<>|I>@pfB)tuIDM@cwwVJe);|2A9)l;p7u0{mV?qY zc~gb%=cVS{E=9?)_)8Ss7~1lOGacR6RNKJAEv%_^bfmhCJH-J&*EejU%aGA>N<|l- znKITcp;3styv0ZJUY`KkcoCAL51+7)o?2UjY=Z7u*B6VdCW{0(<2P6B%5vjPMmz%Y z>`$8s;@ipOlkvKKMPM6X-Am}Rvxhfemvt>;e!IOA(DZ-Bn(T^iD4fJ?#dVKSsq&gR z!MUG5x0={_O{N1oTh3)2*xN>upyQE2Uad{5TXdN=)i6mb^?Bp}xLDE+7&gM8@{pCQ zj`Kcq)X$XuDL);@W<=E=Ok9H(s(GDyMa=4=w|iICPG1_sXSDqK8C=e9Lyf~bcT*9XC%WO=|J4BQcW8Hu%>aNvoY4HY4~3FZzaazR5U`d zH*0R2m=qRwELn_F!Bd6)(NeJ0vr|;OEru@%pZaR=6I`*cUln}SbRR>@s`U*Nl*irK z(y?@GYKhgx&fE4mYxf?bw8=H=&qtDQdnpg6HerupQ4&0H5cv_r;> zpDPxj=pX1JOCq~+y}CoXHY+xmv@W6lhe6)P46-b?DdKJ}+L*SWV!O!H1g((>5yi5` zdFY21>IAC8m||U->jZ#N)o)fi-@kZ-Vso{aJ9Z1JtB$@b=$lgoRt);gi3HD*S<@j9 zzJpL4(_B0`Yjl=W9FR@=OdAa#Lyg zhybT^=a1(U@`l|HP*K6{Cx6HWti@I#>Ujn{XObXT_xslRWaX0*fFihTfR|cR``0dp{P6g#fw7$m zI;ba!5bJecUjLi5-0_EjX1TaE5-Wtz*REz9E+WkzDf*c!%t2cm{eN zwN?w6HF)?n_8W?_X9{o|aigMS)b8-1TQB_wOzedQoMqdsJ}iuu#R++i_Vn*?4j|1o z+j&3d|5YjU^gCO<8`ZPP4foB!8*LOI`asKaNyDXK@i>7O&62J2QI#1gLN#jqx}jaC z60CxhIM;*m@ynrar9p-ae=n4q(HjAwYb$}+@!~_NI!Ui)mQPRbpxCUmWoJ|T*Luf0 z#2``2RGh=t*`_jZmljI*;g?qD%7V z72oXhjV+l-4-Q+e_ien{y21mVOTV;ja1J;fwaO-y>sy{5`QZXo{Jw`nG}Az zJYI*7J~>M&J~KiuJ~8pRs!4s#f%GtR(k8g|OylXTwz5l42sELI}{-VV?wU2ep1{;vl@z)wiv24ViJzD!(K< zfq&d>iaN!YXrUAIPPko1E`CE*f=$Dg(gr~6jWwnL*JNk>E*k|aOwM&Ef0#7Qf=~to zTrkhX9u}w)O6K^sliU<-Fud`?LjZZRF*wHH?+w+b6VOoFT{?~aE?i){U`ZtHY zzgth5ZnNMYw^5_}1eBc}2)vnA>R_)7f6d;@)Fj)aQsyh1HxV=c4cd-qKBL^*-E5Dz zZ&KwaT*`zlGpkHq*|zXiceIETDDXIv(QS6!?nN4xa(3gza2-7W1yYh}V^>fHe) z#je?R@1o*3sv~6A^?|jNRN;kBT_AtbXkr!Q-5k6a7rY{phs}SRO62-vWYyUKCY!7EGKOA?n4$~}eoc;tR!cDvT^;E5uNn&mxzhB| z=Zk;7%u8wcA?{7#=E_2`O@OXaI`5irH`;TdV>xf)*!afme}CgML~k97wOx`RVrGeno3e?D%l%36Fdgyz(+w*N_42oE_Re zNk~Lt;_+t?SBc2?jb6cBDlMFRb+(V|)u7NOK`N0ncPNiehL0(A)ZM!`;zj2ep9zCR zd0emfWMXRnAnTA*)3<>1&c5F~T-VH`_87AvqXscsf3u zcd><`f1IUpi%%)|&Q{T&w9zVIj(Zh(ln6?acE>u-s;gKQ(*HaQX%bVnRAL7=EkdWW z^55Uaarv|BTxa=;MO3JKgcYCJ%?I3a?97ZRHVAwR;@5^(Jt?$@4CManFQnk|i>_O- z{&3=^^C=;YdL**%Uj3McLJ!kWRQZ}9nmv)@*((~PY^jp}mB!=znE7KqbxNBzEP;Oh zE?88}yKAGT#zHtQas@;WE_hLNt+OtY0Xk)5nUiwGH~kg-klBGtZfWh?^vdJeC>en~ z*cb(D_-?FYOzdvh|H&V4Dv+XAr6UaAfxgUZ3O2YQEPx?eiZI;uLLrIFx!nHlW-LWmwM*w7O1u2$1uR}ZQ9qrF^Dmzv2a2}}v4ML0jA^9iy zZ{&qMx>%H)h)`FLhgvPuLlDO$Y{9Iy9b5m z;TOP%@N3*0x@v;)@(R*_J`7yc*9F{C#X;S!nm43}tTRT}SuLZ98j+ilMjk+0MO3Ry z-L$d z58s45@Iyl9o;xhhEXun6tUo^aN(WV1ksstnvaOK?MeR6m{(hpAQ2u)Av#-et z9*D1Nm5)8Y6`mcA)@l%s4cxY&=BX_1-Qmm&Z_f@oBHKJ3oEXV*KF-&{xMlLVXXvff zam(Qx=328#IDIBBSxMI;P)aeR)XX-ByfV~-A0JU-^8=EtOS?`##s7NN#*a=9hPzsS z|CJP$kFYResfxY%dw1|)9{_zl4(+I`cX!cSejSppvMdeIx!1f*wRs0a0f;1FYNeR$YY4XB#PoQ>Kx5lLf7< z16&gT>4NiM6QhqSP(pL@VF0%Er%(@RFOSsLp>=|34e;$P=`2IW9}IN+?yIp8p7VP1 zQ}dLq(*cP$qpoPN{hPwL`Ok18fMGYN>%|9d1~^f52!{J3oA<#RL=Wn?>Cci3!gSq$ zXcWmwS0gE1fDDDEvV;-K-J*y>MD)yy8%wwIrRkQyO9>A}e#^m06q5L7Qn%5g5jqS9 zT4AekNC0SkiZbvVOYC+{$^J0}e2~Jyp;d#z+=)tqWgWxUEs|qjC61=jeN(Fv{n$~W z?Y|Ay&YJoH|09)J)JZLId>R$qVJBXuCpAWG8p7!1TJ6n#_$&jv7LwY;fl~k%*eDQaHta`}|u@Jz%iNy>TUwRSVi@iqJ(w@BT+heDO zjtnEoI_hOJP0T#VA#;@^myr*gQd*cm&9;;_AqTNHMl6o=hk>)R*DIK*A1xlLFM4=J z?NIYJSYEpeSSjYB6+TrjU@b`_EQ)o5<%QBXi|eN=@Zz8_AUZ=D06e~*k)L6!E|vlV z8oywIXI%jOfW{>VHP#$02ZdM);P7@aB}lz6HB;(rCJZ>o2Z;HnC<;87=a*C~fDE?F zIp``Ig{=-Xj!E`NDpFR8< zTfPE#X|5+g;==%{U{U9k*KJ37*f$E3p=6UTmOQpN}~QFm;x0n8xxn;&-$h z=!61cO0fkXRUCRVXT%q*12vu9ta#s6e3MY!fK182QNJ;1M7Gv{@lu!R#0>r@A{0M@ zUz4aayugv2bu&KpT*lTh~$8)K#Q%j20+Y(fHmv zuQm;y)lRXnEW2p++zV_yZ9=1z2DAqR3>SN1qTy7n?ENc@!6aA(5aUAM~|nY;6+@__yU6WaWv24Xqp8O?;DiY zt^-#-BcNtlrcZppc;&Ej$*FDYnwYO`rfW68Z{q&5+312mbQ_#?joz9TSHs)Yvz*iZ zlm6_(q#T5;tq2O*(FSL}=6Gdql5<1f6G1>i-KOU#HeUpdX#iIU#E4BjfXE3&9!kC%@bQT+?k`S_O+__2A8l$uE?~iu;gRXP?4f;gA-Sj9L*cYW0 zOXRlOfcbev$?O3x{WYa!?3iujdQvTXo^rfY;4hH*HNW)KD^ z?1DtLp}@f$@uHNKCkEWlCR9VcKqt9^i+ln%uRGKpuudVOAL{T~P!n)qOYq;5By!dMW}v56_J7T)>}gt#XW3VguY{X1_W_|Ha!!^Q0^vMZ9FIi&Y~uLqzKpR>3_!?G<^&XvweH=Wj{Zx?!U z+)u@KGwErV*52$t|3mv$7euNB(4W4%2%qM;+(~fbs2j-o{ta~Pr!e7h{ds3go$(Ib z&0GgN)Zx%tyXZzGA#)F@+g5h^kEt)$~ao|D~C5z%u zi{7B&REoaGe#TgC#x-fNyiK_hUxE`KYRjF~yA>n7Qbp?IU)@X&1{D}JStEz^og>i0VIM)#xAiUUWR8m;QkO8q<7*?iC%1)z5)IU575!^v*0~ z^;!qE9EUjRSO0Qt{q#s4blvQMw71NNcuD6!B2eO>>-=={E;0ZadN*d`GDE_;JreTe zd$j|yx*M!6g$ScL8I^s#;jBM(Oi^#sfw-ye0Ziyba#Af;L!iSFi;X`ixA+Nj-4Q6+ zm7x%BhV}+}pN+3u3@K~xx1$t@dlV2ZWhVf7+SI9ObKZQyrOl#UtQ26tkO|&+T@8Tr z7v&PJ!%SF5m7l<@Qq)VtjS%PDEGX0DglHRfvwBBK8JXYBWr{-YM?uqbyO&@THF?jE zh!;edT!kh|Z%Op8x%Y!O!ac8UUstea?AtfF` zd#&+Omx?{bly(MbcBw^ke<%0<3)&Kooz$}!4!z|GS6x33_#Vyy8O z?;2lk>MVTZhTCe{A0>aL)csHXQb={@qD|Nh zM6t;X*L$HiB8031UL-AUZ7nBKUw^K8DENf075VQul3f!g{0!xYWaEA@9P}Cj@3Tr) zD!PC&r`JAE24{zBE@u4aH+LM?BtdoMFWhIKgMs;1OAU#xv?hK^m|4l2K+v9Z&>3? zFR?ZV&gvMOB-7W7n|kV03Mf#GqK{g&3fSqcy#yWkT>Np0h<|9n@;MRsafczZL zcb6GJ=n|H$J~b+Q%~~iW=S*^fO&*l2F3u}T4gQPBf+?Q^Jh&2AxvjLTL-MgO?+Exv zwzQ@a=+87HjcZ%tuB76DJ6-JbuO+Nv29IQlkQ${Maym1hAK(yVK!~40fhcYMo3)L2 zt4c^ho1K zCYhl=#9y!Y+2yvK=MNfszCS#E8X!MRgTu)_V^=lrQWb^Ij|Ta4p*}^}URR896oY{0P!TC)Gfj2l?$lg+y2|Or8#PcAlj2v)KyDRs}b~-;j(! zKi?uACR^3ADd|lEG|1I@I#L#$i|@~+J*^snqN(Zw{WQfa2u}xvvb>R-^pJFC#6X91oY@_1z0o|)tfV%VbcI3G|Sar*!>X&!Y6_}+9xJ<|f> zh@vJ-q0@S<76$Ya=QZ_bO-2}X$`Dq-t~BNmTN+1XVKngf)3P48+w0)0N9#bisIGHa z`QJrCUh=`;#_6wtAvdK@86|b)r!S1o>RRGtw4DD)e8|{m&ypA^&Bi5kxaX>@OXQ7i zP{=wW^sEQ3T3v=`oFY4557Rfi80G8Dz@EdTQg&OD|23lVl6??HsDm^!IU%Ye$M6Z! z=;gCT-ujVB%>;4v>VC+1qQkJ^F&^SP0XS#0fk3@-hK!%r(MDOK!Cx8K6A^>1y9@O$ zsfU{xf-?g-YC4I1NIkaItAU^ADae?xQ66#PctQ8B&3L9f=Z#Z-nnJVxxRmSM$)`XI zO0X{@LyJ+WN<)!Io@Xtd;dlblcgC}l+JnJ&@k?sj{x#T|q9tINDIA5Y|c z{Kfb8`LD=55r76d7VFXE+QHLgWbbOY_YOyrtA{KxN9!xyXbIiuEh_Y=6a~ zi%O<(8!W^ecu=IBGxm23wJF`cr&s0GXD_OYJso)2JUEzqat;DcYVSIM4wZ1Jd)05 z4fc4P=I_o*37&?#kYQbIy)y0kA5CZB71bB6VWpcNEiDbwAsr&!BHi7c(nE-Jw{&-R zmvl;ZcQ-@L+~d9L{sk<~S^Lc1-+tfc;oL4tALq<*3jFZ=^LdK%QLxVCtt3C1gExM0 zrtr(l4j64)Xq3wfiHV38A~U;-DD|DthlB;CkF&EMZJ0u75}f^k75m;ITmA+FV}xy+ z_jdR}uy`3r5B~{5#_y%B!}I06ixsPocjDMdrMo7o14@H3tI9=e7*c_08V24IYv^gt zc&4K`u?(1Bi?&LtN~U-XSG;u8ifYKUpNo;s6MvKCe;UIz>WgLl)C7efk{C7t2|GAK z>=B$%d_l}C6O5qz67*;!{~GbkD}$%($BKPPVtY$PQl803v>z@9H`!t#e=1D_bv=t3 zb#o_s*Y)CbMc*)m!G_mWzXm91HL7ZQXo60oJrXv_|8o$5s&*sNunfGnl%W zq!E@AL72VypW@GIcB2nML|$`;jSu8vpxSDK2|TmT!EQz^!~#ccA?Wp(+pM#@y!lAn zZ#dsfJ~BmjCo(eax8>>@dA;p=OnG;n2xZ^LSl(sT$S5gPU)vLT8Gip=-7z}K-svBb zrHR|T<6P}k?fAKJ%OuS|l#CD@IiQU&goN#eTk!cS0%ln z40{_f_HSBQc}D;0h%r4c=3ldMKL+%|h+g}J9<|@LH0r$mZ>z%erunzy3C%*zmB$IK4D-=b2ZB%aRPJd@e;D%VK+)WwidAz)6 zTVT@22q!&Kgh^fiRD$NynPabj;O2b;KO$lVEl_o4&Pdk!cn!uYZCU3mP!3uA+2)f6|UVfZcgH1gi!0?`zzFPRehV?uP2Si!VM6v(n9tr20zxDPw}2P7B@U|jVd@HO5;O9M zmn;#e0u_9n19|>NdLk#^V9Yc<(3+!9J4YPssg*Iy3~sAk9Sj$DO|GB97bt6(#D<|_ zWk(V^x2x<%UMRtHZVy<7%-J)&U7Z%ba}%)D$Gg=3DX(Pkx-jgNWA!nij%o|Lxh+%9 zHaUcCyQH^E(vJxaTX16Lap+M2W!NJsPvWLv9aeqZ&^O`ZTj3}1_kM^c$H(j@L(%BB z@H_K&WJ?n1wrvb|IliX4p?7tvFXbEDSSBNQDF!U3cr)-@9{BxA-RGbzQu>}tZQwE% zwNZAYo04W&m%b#ZY*-!Q0eAeLbo*kK_lR*EQ14ca)IO(&qX^<|^m#oD{LfE(J4C|6 z5W8REZ-ZH$RDi(Z(_!|e=kHDj8E-$;T|{vf>K+WgQZ~XRMZ_(vNG^{n5>4CM_74pI z{6rJz-GhI5Da1VLz6Qo}9o3*RhU=Imsf}9|XPY;zI5Td?97%Zen~;N>SFFoN5Wjdx zanNOX#JBFv$cc+)0JG6qt(6Bs%xH&lXX=8#hgQVPdv1DFTC#m>n z1BNo4j3t9q(=l7N;}l($CMAjl<9})J^pyKkD6xz8tt(7NJZh8uc-4bX_@1wl@Ll^) zs}meH?CI1lLOm@hwdkZ$8x#k@-D-bNy2}_u?RT@O>oP^-`#T|xn|d`Hwb@HRFevz| zdu~qhbaGq-5ntS-3=s>9Nvzj^2)9^-L3F(!SrTgI`T!4e-H6T2!9Q4Ze2%yuJ~f=#hf8HFMTG~lUv%0vc` z;ux-c_-#vn>Z7rtpnD{!yj-4-m;-(&MHlddlO{3jMYVn!#T`p3sE!0X(PRposG_lU z-o@+6y}k1pf3}p0Ebj_<3muZffpLrYSC%jrAWy?qml^8*OrbJp^w;xy5jdGLiKT!* zBvCJN*QM+BT(Y$#E7U@t1)B*bM54i6->Rg6*KiXOA=P5|`?+FH z0QUVg0dk@cCT^^d^;AVP`_)xHMn6`VMSm6_mXwDcWrEn;DnIu0q|3x-3mWf1XEi@7 z2A3u1eAS3j=9~Hu$V&0`XlMOwZo;JdvGXzwsNGM~z7ug#<|068LUAr|D1+9EaryXQ zzL(+iWaSyw{P=o!j_*F{RpatCP~78PcEoS1)hmZ7p-0@-y*xF6VofVuB$+2V*snK@ zj|qvr3`ju3vv;Jq>%J1|$3EO?6O)AZ%O1a58n3XT zRGJd6JRPw$g0a)Ip?!&{ZcC`=bWSe-2 zC9?4e#+|GXxtC`7Zw-LQ_03Sf7{qHYE9C_l3a3WQ)ZP6()8$s@NgKlf`<*0eHjj>J z9ApYWX4DN^*P|%Bl$Pd7*B+l0cRlm~*sB@YS|-R$ALB8Cxh<6mvi-U!csovo3a|Gn zuR(1((eLacY*#M5==x5QoAUs+6>FDiX`HUtylXFha%G$eJLb8n0%{^iJ&_Jyn{@p= zK)|>(KJ$egdbll@(w`Y(_ToaueW7wZC)t&5Y5RwuMGMFGer{HAAaI@euCbH5+KWT) z8JTUfD0=3P`GM}4S84>_6%$h6D7hlx-Z4F(SZd-6N{|19&vUW1c+W7T~$}S4v*#M{}38XB3#)mZ}NFb8|bz<4BcGngg4LsAC*9KygX%IKgsU z5(5yL-OB8>9qA(^D^N1`{~JF)1L7JSn?Mi}EnfU0{LKgRVHyNAal;=8dj^O!ls9i- z#091GN9G3eT4#M`whz8A7}Q=S{dg#{nT4aj7#k(#6{qru2w2FK5V1ieJ74-vx@A|H z1l|55*+Ds4N~<|)redRC409!ua&9rz4DSxlnc$ZWbaf|MHGhd1VPOo(vf%GEQn&_) zaqbzYL#ZNbHF5t)1okb03Hgi*mSoT!U#QHHQKV-r8bIg4bp6wclys3OwgCwm*bqdN&NAYdS-J#=@bOYzBY z6!MIZQO2cN2WN{f%T6sBMgwN`4LVmFehzu)eio#Jw$IPg4LF`OY*OtLYa{ghU&7Mb~KPKGtM(qDN z0_oIAkoK_|VXB}r#%U+EopL=Vf!Ut$53y2eC{D8~1X+b(rsXMOt^J-gzFJMY5;klw z=66QoXgcpEF#^tyPck$$}5o6*VP0UXTyR2qZm&X)g5nTG) zfluvzF)yjrJnn+R+!E^7@T=KbIOV@uYu`<}yX*Er1U`_DKWuoDKk=r-GGK6|Kr@ck zbQo1^u~{$*bFhOg!(T>QXd&ygCJg-*|vl~Y4Hq-Zwkd+u*sd*a>0{lA| zB%NUA{elF=Xb);sZgh?4Q(MqNm~;K`0cmAdQ#Yw}J)7B(vhdiipEc6}HftGql|&~C zdW-sSEbk+V3Ogj?$0q#V1l#P_1H7+;r|5o+frzU98&cB}Jb}LduNdBlufjyd@FBNn z1$EUmhPm-l=Ox$^4x^D!E6cTaG!)cRMN7w?f=6K{bh9$VS@0k++gqejvi-}-re9~R zlLiltxd`WJQXjqTyF3GP&qlPF=1IJtcwS?*^d2hEybtcjgW;K$fghxg4`|1?kQcnO zv>MV~h(^^$U5g%g)wwD9xH6|U^8+pvs8JAljmi4@#Jmg69Ip2M)oN>eLrzf7UGD;> z_{f!9$zmKXf05F z^y=87{Fr&`WF!%hQu`seDP}#=lal*DkCNM>!SV0JT#@$*`pV{Le$QDvw->^HeyY@u zH`*-p&{g3VAaxa%QKf(3TnJQg5>Vlf`6@Dv{=>(2HfjEZLH(Hr>o(}5s{LXmC*MXT z78>yrxbsqRRj{|69E6wX~7l#&=!C!KiBwa3p>0c zL`I&N2Zfp-d)((U_Xbm5ys8m_5L(tshRqSMn%9gOUHb1A)1Cx*M$0E&Kinm!Z|%1y zaC1IYlx@^;2+HoJ&WzW_isPhv7H3Kfc0wTyy8H)S4QE)#A+1)ktZ_U_H0nZ}xc-Xy<;=51z3cpL zL^DV$1GtiRptP9}4y<}rcy|Fhs>eOLxJVx0dE9vk&vZGDf9k{1oCeGjFX8$p`1+>* zQJQLw8L6?HI6XzY#YDihden%FkK%?>+Z5TWYD~1S2a29&w{;Nfl)QC!%Dg`jW)-Ei zV17-%8O4ocuDvNeS9-F!UrmLoLW?-x^_^fs0Ydtd*nSL$OmTTNIASMwX63(}P8CUK zceKV^fw2$zyM1?go3g@*!E?2sg^TcAcy|tF!CE-FOrP&!o+sh4{JFy4X}6#T=s+Mr zZcbg(5bJddQ3T1cz?PP831UxdPCFX*la68}X7?kk{C|4|wh)vJOn3xg4lboRR0l^> zV}A+ZLN*gbL;v-+rtE-0M==8w3{I`C1&DTJwNnA5CGlezD#**op3iYF_-Yb};S%(` z`S}N9E6hsy;6&3X;PA7ud4AmgdyN>83PS>D9qIkN0lqZc6&cZA?H3W@Kmx>HBqRh> zzw_gu&_TNZiZx90f%Xu@%KX|%S^*X<>@+LYvI=A(@R?QL(Q>4C7zE{e; z(mI#X3`LMn>J^dIGWe!FELcNKpE?^C896Pml zGX>I1?yKhoq@Tvfrdu=b01lsm&OlZG;RP|linbhQ zpzj_{M33;Hgb;C82!QulLCdOA8fj&M=RrzCUvpVs{AZ!K(b3ypZl~3cuxy|;2+bZ~v;_6l6Ld>hR1Use`lTWYk;K zE$;wQ{6V9ef*r>{^2%c$#ULScd#>?+Tx>a6$qljSyJSGg9@%~$b(slHPjF`3;X2yq z*$BKTY!9CDYE{R6N}LNzSWDwP<~rBazc>6)OX-S#0^()J*NPVxJlAP{s}<$G7QPg{ z#~&eY0%2vsqc-8}ip6!8tcODJe@zAkXH07qwaH*V&RF!w@k40!n>=`ThN%k1 z$K^83RvN6Bow>ROX}tn^FU2xZt_*d8CY>Fx23URBd;VUe4fsKx2m;O2EVObmCcpNq z2s^_Y%#-5!r9H6f;8)72W!M`OM*k%@7eaB&*ySzn$gvBbm7~`04jBRejt9w)c`A0b zzut_&G6^@BkngBL|Lk09#n8XeD1I{xId5*>HC%!K5e&H<-%QMZBidfGr&`9X#{dZ1 zi?YAT;0BmBJ{iOhv3xo8PSWCMVF!W0n|VF46k^y98p{qHY9+~Aa*-htfY!oEGIVhW zrbXl3cN>l`lkt@F2z$)cM($n7I-@3CO{|`TyoUZ-z;S;92)){HFBt~0iM^#rzTWSq z;(c_M+62NcefBr~e-aj^bH&o}SM9z&nND+=Jw)(qddcZW5`8Yan{*;e>Cf5l+sh^J z`)BOFO~{VqQ4)G9@U)+~J$SR49X|hcmv7Oz?*4)=`16c*%5xwn5Cv0+IQ@851nEWE z5P(l~b}+SGHbexIvhvtH$bJ1Hmp|ov?ybMYPX8}J{qK%Jr@44cP?_R3hq!;eyLcO+ zR{Z(@SpY|9UdZ0hmrCi2`o0r}ait!@IU$`KQjOO~V}N~B)}3_b_CpNG5DX?sP@Ait zk@LoCGw@m%cE% zVRj>7-iV?&W4@baONjX~BE|>mp}HG-CMIh85U%~vQ;vn1d_}9)I{v-UzneU_ zV#(jCz7>s&Kz-2l34W{QvTKK7TtwRwtKdbqerRB()Bq|6<47LTThV&l6hbJ^zsz^D zmk_hQRJGlNmq4hbp2x(LuJlI|Az4gk@G3aU_Q3Uy+tnav**=B_0f_xgU>6T{1pwSjJb;`@A5M$Ujhh*XFYofEa#pl%QjIGD@B;Z$w1qHvFa9(o9H}89=F8 zMzUN}lLVe8MKoIY8D|Z8{3D-B)>-uCqW;F)ZcTREGgz5*ZmUTYA~7gZf_?+sP^Z-f z8(9>^ZEvhm)pMNh{P0C5LV(;T48TLF{@kE-tWc^pUH3_;S$68N!Nuc_D#nZI%^*0l zKR>GWNG^Jxd6y#CeG&+8;4Jg0(@rdI#jO|n{2n9)aa9f9OC4s?J)}F3MMsg`svT^Z z#5gR_>v0t&(!VCv z=4f7bPbZkN*6*|r!FgXp4|7X2Wu>}WO@atO#Y1!jHUFdH7V+d`e7!5){<}lSTI;b4 zQ1iGEB8K+P3A(_+k*W~o#BO!3=R+%v(Y$Aedgo~!6t|`+VOa4R!yxpS$hi>)SPxzB zdqk4yInMMQ={u3A@m6e5JTzff#2Zme9@N#$sn(IO0sDb2!}0s7?E#k`!#8x1^|6Ok z9H#=-P8kbNsH<|z{f}MWi&}b(BQEPXmcn~{0nAlAQm2ccW>PEN^rvN+so$6zLxP|B zz8x_GGWB?m*1NwtSG|gY-xQ&S{LZV_KZ5QVeLyvlUKIX4WDm`=* zb|0Y`%eKZ+mOHBEs&L=;5ywhT8=ATnPx8LZq(2vN+7a4-A0~o!a8gm=w=M0JKnJf% zR@T?`sJ#;(GND~23$LTU<0f~!0wS^bcuwf(^15%U=Fi7i6_TlmzZ^1`*PqqAVK{$6 zvP)5fCmXrQufGyNe&S~|+_hD2_#*_!qQosccMSk_+FdZK>a-TUdZW|b3a-mFf!azp zFZYBIW8sZ~3912OkowJpoEejaPRV{Udk=EB+|_P(RT(fQuW4vFTQjVR z$hdyNyCG7)mjiM;q)D}FxELTYrI3j7P|_q)RgP|;AjmOWHCb2bT}$*<0u;kmez=QY zHFuw|WJPRNbu;?E$FoElW-%$#C&o4vKdSmhl8^VglhTdk2e_#akG{Ou9jAj{L}VYo zZIeU6QvN3493L0R;r0A0|M)T8my?TKe%-@Bf<%4b`&u<2dkfr(_Ie|x+`Kc#3bvmx zx%#ylBUPWQen&$Xl4w) zq2BkI%FL2pD+KVe;x_ANYA`!gKGLnSrgqOOE+oIpg!`U_@^*d+g0_3;ZKw7<7y!y- z(xc8F<*o}hmr2w}M^0j60aU+X*Cpo5w1~N;7`S5ZH`hqprSO{du;gvL3AXo~CKl&KWMq8YAQHF7Gw#2?x zk0f4_y{^MSfh31!Vu=+$-b73=A#!UVJidfz1C8&z*Sr?}C|0xJn&=^pIE!f{sLOd^ zy;SP8>t?*zR$`_Fi26DNmyp2UUH;2FuUw!`rysr18Ab3tq^y|BE9pc&s}oLPm|5;F zl+WH(QbJE+g$}2)-YeZV2?b#$=4r_3wD@u-3PiFpdB<90O-;<&)D7)R+|T5n>lNGW z?qEIhak*?htx36KbTr_oXE(U?FlM48nPRT??whT>jAj8FQAUc}tK1UTq}uC#0f#oI zrv)00u~=wgI|>N834P1%>A?z;_`CQU0?Zw8((xmhDi2F*4AAu)d*7vp4#@TYLsenZ zMdP3g^Gpf$p{_tN1zu~CpX#ue9*{fb^8`Cd%c6PgpZKbGZn9q#FH5@tX@efQOEnAA z#tYmd*KgPLyu)wMuq?5z9^SYL|(7Dk#suOTa5uA6@OI`SbLQl zGUlzE;;A{^sdU6_^kU;pT~$)tys>j7G8AE+C9~dS=}w+Rkti}TV>UqUgQVmhb{JI_ zxvzBv&pj3_5*;ET)@LpW5iZS7EYVQr-z&5LMIS}hnNEb6@Biq;`h*ESVT$7s-7?wu z^uWQ5VTM<2m65Dgt$<_Rk*ep0?>DCW=F*!hCShS@@bFjb=V$jHgnz$3HiMwyQA+{Zf*2BER{QgFR)I~RbA4CYo9wEVXY`_9OkiU|%M|P$xc8ptEjJs6 zI@Z%ISdfWnwBqOL+}fw z7fw1yxF^(qRA|0c-QfiZuS3*M)TH#!{38ZMw0;U-XC)h|k+q&rc|8r|DNZX(rF7JY zgmyQ7#e-DWj~4`wlF$65J7Qn;UB!<$XWR68np>xfI=5i=%NG1Cd7k#E4spZCTkV0# zf45?WEA+)?4Vo(XCBL@#q5Uu&Fz%|Hs3ZY?!yb7h+wz3Z-?@7{!@eAs~P4H+!*xFW@#*w!!>-` z>xZu&8f`Q9avpgm3tqZ!vYQTdC3q(Nxo?fTf~Cq+kgfjVY}2HUz9m4)x$u4mDXNJP zdNf3Yfu8oeW0#h;R>q7O1=2}e6P}>q6BVxWHhk;93S@Um`?TJ^N zJ|%-L1U6jGm;{PBy}#K%R0NL_+CkGDE_%L-Ug2EdCtae{TZ}z)YA;_Bxa+4q{#!({ z0TdjEWMkO?7GA@^?M!yHFUectKMQMVICDhxu{+^+d`_^?XCF@niZ z*7r}WoUP(JZ)f6@>T>N7KzgX|o^b(;WK_PxkAMtc%IWqQ#3 zpSATW^7{s~L;D)#K!m;oex)NK1 zY8M##JO$|#rdPK=af4j~^`|`qe~C?yPM1~#P%R7PDKdv5NoVV%GeVt*JSr0|;gX6h z-n>oTJB*<$#D1*G?xdO-7k97 zDxujXK6L%S){AHaw;8fR>t*-AqExgM`dO<$IYeG&m-TD@l0cxE{HcCUE?3>+LsWMs zgN8J810xZhrLw)fJxKkAB8`qq{$mQ5oto8@S@%-Gq#Xr%IA4DxkOJv=L~a-W2o${- zOU5R?;R$KK+?=d3(n=KKWL1FIA2mwmCCk!w_48r;yBss#J;P|ABEo1Jh1d@Ki8iP( z#CyW4`J(OVVf^!=u1dPl?hdP5z8Hqg#Z}d8lhYXP-^vMhj6-#=smW_%Z{0T4R;5ua z*qFV3n9mn+O zQ`ciBTCN~q6`F7tMkmmnQSXuF5}chrv>vJDhxLsJ#6Y>2S~__{ZG?B&>Dm~7_3G+! zO&`jg{h6Cv6C$_RzCOjSH@4lqk3ZfYIGCYS$&I->@08BRhe`YhlEXRVOYFANt^~}> z3PQ&5_;Wf(6Xn*^Pa41j$Z9VQcsgBBYmoP1{@z4sCE&nGx7sbOwHmkZrYZjxEc) zO^>I24LH{f(I*Gb`4tVX?p+LlJ64P{d6zpPd@cH;$ZlY;WT~Uo1>BL-fX@O^S!{`` z{Ca$2V03dTOvXa7sGjxTzsSwm;7U78UgE_BPJ1Sbcrs&isI>Q#$loV9PObltlNj^+ zBF}i^Td41rL}kxo^KtI|qFT||RUeQ=C1L_*vorR<5yKfMcJb`_of$p@H3ar8#cvBz z*VT2SWp1j)|3w1RO18dgGc5qn7zEVOI9h<74UE^XJf0}Pi$@K9?1nPqSc*LVjR~Ar z*I_=3)$0Xh0D4FkX@8vB382$CLoQZtCmA_;xfSP9V7H(D%8GTTuRtOarD?^QF)ftv z-K7{;Me7H*{3vb|4F02!Xbxb7_-j4v)&u9Z2i^N`;2!xR{N~GFI*}s~p9# zR<$FmYndfcTH468_x>X0HLJNNNOS&!MX3U=Ws)mGBk$7YN_PKVbOhEbxVe_X6o54U z$Tbvl4wmY_N>v|C0u-e)qj+byfMzs_5s}QpP-j1UM%%LiX<{{rTl**3iSg@I932%{ zaR^TX(mcwE{i{(2s(w?h<*TJ19o2DDZ9C09&5;zW@;Q6Q!qa0@Bk<&XM>2A9*Zv@s z1H2}<(llCp(XRejb;e*j#fy_%UbQ0dAg}x5#9puWU-{<&?T2=;+0?G4rnI*?(3GUC z9|mP63aNQ!p~A02RGLY?>&whEWC_a(9M+BLdd{Iw^neSgs(G2hA#63s&r0 z;-wQxMKk*8KS`yhp%(CAu9h?l+TR1~+&bM&-J$k%GqOqR8WHr^uB@fi&3|YVrgU_0 zl&xh(PxNnlrD1!JPnw>_kD|m?!+jf?v(8k1SeT!S}wW*;%MjIuo0hOVgS@)u2GG4dEc8IDlpmXpB2w8?_7nRr2w<*yj~x;!$he)B%)e zqR+DVD0=(-|DkE&5e0Kh!Gx{5mz&JQs4etXqe|*2AAFB@+9s#_FA*ZgR4ZOHfS*2Q zkEyuj130xY{xvKO0ZMT!mFKz_Jp{OD*Y9=Pdmg5W5qGm7R3G>%;f1rE*P|W)P?|FQ z+V=k0x`G}zLEUP}vX@Dcvdxq|Gi30muc<}*@$S`@CGi)#Lop$TLBZJP*tCrD)5@@f+WMwY>Y8 z;FLcUS=I2NK&`#CVH>=t5!lqfuE}daE8UsV^<SUhvsT)k+ta%q$!=U$lq>cQg@? zUIkER*!vOE>e?O^Z4oS^T5 z)9fMB>I{&NrO4b&o#&5 zd2yah!4pq(5R~dVt!8uCJ#32&aTIdS-e|tmiEh(F${ca^wRqKT8T<-CY94O;DYa-F z-&XMD?rYmd_hF?hPqrRMc8j*9+#g#?X_7U+pQUuxdS^bM@s!!tKH>MG#0ov|dYlW? zz8>Q(_Y0GZcB^SL)(s71ZU0JN%F_C1`REkG4`H}$Z(w!4WYMInXcOtO(Q3%hwvS?U zc{3eEt98NGrnfq@glgzsxV7%55C{}62bOZ|8Vf!RAbhXj^Xriq}Ry||x)@RIztFQJ}E}L0*v(mMJcco2x1kS%_ zgw2=D;=fXHIG!=#U{{|uKj>h*_x`KXh2Civ!5oO!@2OeISRLN|<1YDw2u~zIb6Pvh zWWW1&2MQ2{yUHX z(wx}CvNw4Mx4Wn=Co%7_@^lj@YcgJ+ddZr?xZTotm3yH+d`meq7?8QNd?g!LPe)B@ zMC)k7peDj+G2s+%*#6Ye9W7jxfI(ex@x8$J*;@Mq`g(eCfsstuB!6t&<}zg44Po*0N!Z?vu zOc$fSscYAI>RaAj{fH>AL47{2BSQyKpf01D7p?eBpRtL937$=^t6#B6LUb5lT$=V9 zTl}9HMvcE?n_QzJT)swH7iYS2><&h80tCytX>y$IgZo8j7@Uzw&G-sSOQTxo(`6** zBpdi6A?#TX=~|Z@pJqj6)5fUok8?MK1O@%nYplN{pg!b-ze8l4JnOCry;U0Z0OZ_b zzcLp0nQhFo2}#8&m7sf3Rf?tb{a%2Lfn9|&%j+rpmgQO=?+~kD#B=@%21}Y8On`z+D#iu%um5E(flr>q$$DO z@#wKcz)nO2wtL^SVQnL(X9e_GA|g^;q|%&W%trHLek1cJv4J&>0XNNK28o)%z)dq6 zbxM87&^%G!HJuQIU_i7r5YzOa^)NdE{MEkTYUH`SMc)V6dB0^B-3^XJM=e`74&|L^ zXt$;BN)j1ry#&EOsU+M0ql!Lzz7m-oJr3`K`;Q-V%K5(W#((w^((jTq^w~A9jJEa% z9+ufghU2Kl|9I2VZsU2v*#DyTBi1S=J4}L z2mJufK6yH*^NH1EG4qEEJKOcYL^*R1CQa8s-SMYr=s>Jlf%~;Z$7IBc=V9hVflLC) z@-5NclnuAsFzAy-yrb>r;6YOKSe6aFwp~wht9Q*jax6^3C2bD7Kf~8@*0yB|TWuaR}M~5&fWf#PUSrq^T@_7A~LAq6lgE zIZ4LrEGM@9A2Go=kUO!4T#t*4m*`2Q0in#k3T~ekEdb#;aVP@yyoEGanRA>>wC!r@ z-}WNTzUMq6pnxPO3NjEVt+Un=&TcI&OG9?^yZO!=X2%zF?933*$=3WaA}r9M>IS}U zE`PA3q%)NSuf<(}8EM}G>8?=L=XVdGz%)PR&Q2ll!TAMbri%1f zb*~6U=-90YQ6O{-cGyS`Re(-(Od~I!#HGR0Z{~J}*8bPQJ?2iU<`LbZF$=za*?L9e zT63@|jjW`%rfZ@%-RLVLaiVj|^8mnoAU-9fI5XAZaR8ls(VSzv`QB*KSHQwm4nMC2 z);qj}g4>tGG+S)9tVr9&cJk`~SL>E#Sh*4CY0JdXIREEe;mu`1f|sa;=a%2!Nj_R- zi(Ul%AQk%YEt1S&e$THKt#JHfM-L}V>`MN{<_SH1;{DRA-L8$gFXUIx{bvgAnL2nl zEhb}SXNvv-Qqb`o#y65Ks`aGblS1!S$odKn$#zr1YL2D=%aTjUl|OSVdSweL_0aT|A5UH%JC<6`RN&>D&>r=DH*lI*1940tS&w8 z5mS$6`H+`CTy;|L1&E(8Z11cNMiK?xjdK82xP!Ve7ES;HoY8gNMtdC++UY#`HEczT z8N1swN3_+3>&j&!yOQ--YGmb5)hS_`h^~31pO6+hv zE&I1pjbRq*9`NB)+y=3HVQDtZ(o`0(12KzBRbxQne-_DW*|IaLZ1|>dz*8XN??bnG zV;QE2!%r~qJsJ%j#1KYt{Tk@0RNU8`q&R_An^p;B&&q>}E_61JzM98-0X(D8P|M{4 z55a5YaF_qX%0fT(mGB-2sRMLe;Iev=`yZZ`iMN7D<7*&2WCrLZnE;h(rlV7!PqF(^ zi5^sJSlgSVp~rAzv^N|@Vek-!Zmbg^&X7pAgxDfYrTuYORa)sererr?3gJRrw1b>u zWmCW*9Xnn+OVq9wsEmCajcWk?r{F=+nXyXm+mDWo3>`xi?!ixI?+5A--SoNnAyJC2 zjg4AjVJ?&;uY9GyJL?|CcV;dtg>Z_-OUE)?Cat1@XqtYU&=qc!MD`#6U-4WHT3dzEYgQ?^D zeUJLcJ=GEn5hArnNM9hp-s;swZ1$QQ>}`S-Ynx&8KA`)K@}qr5fbiOd#Fwu_HPBYB z^Ca(SRA@P86h2u`*-dt!^H4thCjX5Wl%#m~@C zxFv^ymjvC<7!Hyc672Y?4T%oUKWEbDSqc-NRZaFiOQEKu_li=Ig0!F;(^@TrA%Ex~ zT3;=!B*(P4^q*yxmACqx=>EJV&WihC@Xz%gHCldo3!?wcW3B8u`sMT~|)q|M*NdYyD zIw^r(s_o`gm)0Mw5c1xrtN4&7HWq;?)$1pW#pyS06#MLaS4AS37wGZ}Mo($@F7%Bu z2N(50T;iK;iL$6NyCxeuk%IUDnND6{U|vbL0aLBS-`4@`-Kjv*_q91o?Uc!y#t!sL z#KsXxd5+Mh@r$!n@5hUabH*Q!Z_cQj-k0aAnQ57s>&weL?ZiDZo7?VSj^=G$>QJ4`V!Z`R9Q5KA0 z-I=?~&FuaAJm^dJpR0dpsbuJOe+b<#EIO(coD=;M5k)c?7w~q!YdhEL)QtyAuGC8A zR-`u#O}Q2032H%%<1@l1Pzp{)6Gj1BWRqb`L*2j zQa=aN8veJYahW5Uq$-qg$mHWXvF5TUoG(Hzva=xP*k?GRq zBavKWshsCuHIVy>YzeRF%TWWO)M*AP>Eeo-SCmN)sw2$L)eVYi>?V>#s--v9nKSVx zNa70&f7*>aPZRTm7af==hUmjy4_zX^PeWhSQTR%aA%96-S{?;SE4P0f&(O>vN}gu# z9u5C($SsNa2;njAsg0R=Tq-97ZMAqin>Jn+LgMV3dxI2wT%mMc40dV#4^rPfrk(a$ z`lZ$uRW`NA(jPuF3sOl&B1MIW+vh)3KOGbxH$wd}WN;d~vs}*#9o}_RJcAt8C|+iH zy3@(p$R5T~7-NNCvz$coJa>fwr3+bb+XmU(bVU=Y+-3;0$VXpSzmM7+0@m zY;>zL)*droRY@q^x#C!&@F>5f_p7ielmbIarU>0=&1$=FqS{T#3JME(JgT)ey0R}Y zvGqmV6{$?1Cf5@?7hzmaXz*#nP%i#GSl}2NBOHpCtZmJ(&}a{(s(Cs|>^2#a(3&dj zP2;-E5fyMrv)Yz_KSV)?+#rCrNSCP|N9|o9IB?zrwLH?47R1JzP3Qo@$ubfYL9ahj zaagsyNzjIe&T-dAHWpU?dgeP?jJ2P(EB1iMfmIYCBfZptfuqVWDpwkcnQyBV*Yy*E zFt;_PoU2X|S9(=tHA7_gq|L*B_pA)~Nf(o0_*e)4z>=p> z-=u)acpi$*bSnH19UbzX?J(O7NxgrSt?tg=%WnDN8I4~j! zIg45xav|aFP^Rg=0MmErt=i~_?#pfj7dC~P|K^)6`EQ}yQq!8$(`pk`RW2rO{qJb$ zdh)J|b)b2mQ=#rTwsGxHWUZO;5hoGx=VD6fBPGdSW;=Y=|-xix737DcCC8A0fXAsXY)PpiA zy(<68Rdz0DTMO~e6bOv?3iaPGGELdp?sD-5M`H)`j%RYxJ?3fF_ABIlAygib+`tY9 z9WFS|+k|^#y+et%l%kIpp>&DTFE8(PtvGV;eq(-&i)D1iWtw4}28P^fPdG{tfgUB# zDMBG_ySd_+74OSVLic#`3u4}Ud#H>d@Xxx7_C)(H>UyKMQ9=6Qht_vlk=h{221{XR z6l+jY#~w(BiQ`n3(39^;Hs!*5m%4YPD{Suv=s#(gjV|H0|FmVl!=>KiZ%6p=pc`Jk zy8p)F?+Wo2o(Hbg$|g{Vma}}dtId1RXq8^>nh%Xw1${-U!RdQI8_d}RK|8fwqCU^_ zcP=V-dOudR3)Oe<5w($@AH;J3aWB-w#+-v;EJK<1Y7=yI)`j)f(Is$RuLG6-B@dQg zlzTo6U|FKBZ>Wy`*Aav+Pae-lxdt)BOb9Anv2Wij0}iWvriVT`8=jAL!A(3yefK9a zbuPRgUh`$h@6TsbhHl?;cMGhZoktl!DpbTC|HZ00%Kv_D$j`YGF@yk*X$myJ8|G+z z+B_ZYg1rWDfWBdVJ392fJEEvQ{ZYsPcb}bsmT^=&t0+*aoG)2Q?9dVy6Sg>C4ByWT z>}uO@s|0}qyqEJ&2ItA&_k8;-SG7Sh?u!W4B;}FM(C2Q0;+z861@#l_zw z&kAf1W}5ND5SG}exm+YT`X~ZJ&MAnpyU4;9rqy$F!=z}DFHI6Q4zbA`-(MD&;c0CT z*csf1X0P6L3R4ij+Hx9v;l6D>ysk0@a9IfCG0(8`qSf>28l6@c?s`PcuGP1KXF%$F zYCcr&DE=3L<)X6m@EPC1(M*AV*`5h9V|@1~!nMUj)+1=RG_=8-8@ z?T380hu8)>YqdG(oi?cnZe3dQYL#VV;1jDbck;o*W){1c0uar}^0|@GlkCq26o9lT zTZI2Z(^*DE_5EG^M}r7Rcb9Z`D@Zp;gLFuD2qPdM-QC^YAt~M6-Q6`X%ya#(^}Lza zcddKRnRE7c@6V3GoLl63XNr1--VWUsOgtd}1#Rh6e&Brjum%oM^!E!7yy$*%Kdo%u zxu)8h7eO{)cxE$As+UF52lYwvoYw2;bHe~Fj<_9zWbL<0MTVw$XI~K89&)|13fhft zQi8tyfVf4O;%$GEfjYS|y)oe6nSBAAbdf7AW?#pG$fm^DT7G)woTk2LxAn^sG^9j% zFc=;Y&IJ?x6riY-R)FkM7I(WSD0$>@9R8|6X`lJOsPCEB7(6!V zKhP0_1D|F7o1pt<;t7cJ`(3sa7O4L^o~Q|}Ra3yLPc-(2wSeP z1OCoO$uiieTVd-op`uNb)6u2A0RyXYgkXZ$uAV@oa%?4j3A={rFR^E5bEWaRz%A(+ z1I6kP`+kgTG6rtC^&}~szBK!A^6-Y#dx-M&+WoULfdW>I2F9z&w`HDCnt}uXeqnRj z@q#XdWD+0;tNpH6LSbilYYsZAEb@6;<6|)t3Hm6u^`9u`%t7g{V&#)Vv81BrAOmLx zH!HCVA$?>V=qkH^5aHm;s7oqO92)j|EA*GTI<^boR3zI&=#u2G+8gF}$@V8HxI2`N zQ8M%9xMvvn->vigR`P%C6A)Y!=Qn#rdcH;BWW|0i_D@rOD6@`l0v+L!^ss`}KJ*A& z{o0L=uGF#`l)S&2RlYSrA~ENM9%i>1a%@Kip@-hT!#4BWA9ZC=K&uk*zEf#v#|G8# zU**8f&oM;nY7XTEP)$Y7buo#y7$uUpHwX729n*G?2>-gWMDH5-kMdnw$Vct_?xrQc zr~bi|cEzpqMjEY;t*Ji(`#jSFu}OQ$5A~E-H#2hxuby_e1ytiWx|Xt&tpq3LKg7qT$tgeZ1s99UtSP>0@^c3(we64bf$GjKb1BG`S;YgC<$Nx zs`Hjy75E;TS&xSw=&m&9KGAA+7z2>RQ4d@~u9E|yc?%bRnpPYGf4QTd_4XfyIj7;(t2ccB35i zqOxfKF-cMK$p~JILvxbP7>BbP+7YcA-e|Rsh^~+FKv~{R=hY4>O`)UVgu}K11yn;B zjhz*6#p7lr>WA-D?^S{%OCXwX|D`_zo!Bg7yC1R*UizXyA25E-89oJ<)A+qeZ#)9; zx$b3otnGc<8xMNgM#co z9>MW$yq~IOTp`>#E=pB}Knuz>h4|`kx{2f5^0&5camHvmWH;|^aZafOnokPv)e*>{ z+y_ss&FMy5y^g@Y3&5 z2;noYeaqv9&wOqOdM(p{`?7g5kZdlT#UAwD;70jxacWY@hD6S_-i3;BGb;aWcim&7 zHngTJHL6-e=%OV*GTbL{xSyDABgfEdANPJx>_S0^>`%F03M8M1(+pWzzduMlVS*Q# zk$|p(nEUQ%IxthJ|f1L;m{&Q;G-?*VulmpaeDm4PG?j`1KW!n9p4JKz> zoxU#*8<3(qd_=Q#wwNwvxUVNW`A7d|>*MLn$H;wo`DSxohuOtSqW3tB5OkrBXJ2sn z)&R55$p>f0H@2^o*zGq93|3H+Bk;mR0D|^CYABC@l;RUk1PlJcKB^rg$@ z$3vBiaf6bJM|F;>LwmBGFWN6XJrV%}y!K;;hiEj1yG)5sj+XV1M4RQJ)qn-wsTfoR zlV>`^62y3eQ|*SBP$!y4YExJ&mmj?}!2v$P06oD81p9Wk>ymp9<(^3re7kR*rM+QE z#t1I3)_I)TV*)ch*SCeB;8ig;u5PW*?HII|0Ua;wp!N71an%PcSaw>SZysCJ+WCIS zdXR1y%Q-7>5RI17yB2mUdR`r_l)AqKaFguQr zBM1Z3s8bv~l2a8Gk+0{uM+8TbF17o%2YtcsHKBedr5_GbqBT+qcB@keI2944#a@la z0-^_>d``#tGH*^-mK!#UY@3bWaF2<(tRU2{lL24GEO~Dbu{z=@HC5FH%?;09FmxTI zC>;jP^~g08y;j8Vl$rjN-oJikGFLCBAr3Fhd8LF(ft5Y#flkZluU7_E!A-+3Z+P1a zAeOM#VpK~%tb>+3K078&84%VC zl8vV;l!_OGPKrVGDe_~E^Ydd+`4lp=#r0d+L2s|UihS!DN3+e*EZ9#{!_0;! zdR3x7tvzVu*;dFEVV}*aQ@*aGR-f6{^dJToCBb@T&wE|Oh^(B4?h|lNtJ>fmvpuRk zjcGlsGA7qu?;IbE!B*PrKZNkgkkh9wT7mAaE5((95YiG@gl~qZBc(fXOTND1LqgnP zGMsvWk|bU2q!l=$X0{=8xm z)!~DkMiqD`FY5h=r0rilQHRKEv(p*jv`C3olV#Zv*^;2`Y`olF)zA6iD+^HVcFAdjdf4r*(Nyr z=Phi#-z_f~ArqEE*;qP#~CDF0vlbo+h zS`01o)OK&UkRfI|q05I(-dhPI(jk6hF3Wk)muu|(IPjov<>!Sb4txtci_{QWolm6Q z8@35v+7WtT2gcYhp~s=GB09$<+YvltEsV8vy*gFyf4BWe8N9ow$e*G5a zIwqeHb#b2u%4=*Oi&6Z{2t-P$E#mTR9 z!Z^nQ4q5^9@Q5(|Bzb&Xa)DjS|N2#_7)|-@)9nyBspH)LrrR~8+G(>1XOH>QE2uxE zW(X>p_j~+&-)FUFS;fa{>b_rJ_ic-gMT~@swPh=y7qB);xqTBA|5ZiR-QD_pkdALv z=%nVFy4M%Nsk>ZZ9z3F4zJS`$P9daj92e=1wr9D5*EQAZf}cK-6n&$R;rW@aK?64L zbm%I<5ezTbG_rv7lwGJElJz&XElPS3fM;`)hvHqOM=9JeD9twjY(zTc-~h`IG?5A$ za0&cS`Agi{iVjYeZa*4PgM98f)%iPDNzF=?qF!~Tw^etAdo-OWZ1**5X?tZ^l7sDn z=~`3iB#^F1_G-wV9R2(F%{SfVwi+0fL5IQ!I_t{Z^nY z3oi51ei13jyRQ6xOvkApCBWiTq0}QyJWkI7`Y4YIna0dbomNLzaf1Af_w}cZ3Q)t> zIl! zD@zN=`pD^pb;xKX#_W|Am3U@(j3tQlM&HbS5A7Z!YhDo9Xm$rUPy^DN<(_cGotQ3N z!&|?w?e5Z88zkt^xN*G0*O(Mg08ZA1Pc*j)N7U<`!e`l@hmdV8lA+JQ!Q60n>T7%J z61OQ%0zE{V16}M!sUCH8EF8zsr?GLYPw+uP?hiqPPLn%tj1`0H`ASZ>Z)xV^g(9)c z6F;lVW{!Cy9cooZX9<}gQ}hEBSa|>>>(t_lIN&xu^}z4A7b^{K3NwSr2_;@?Y=i1% z;mK{S%5yb{pq~Mfpv8}zQ?XKz9LWR;jI>1Y=?UzyIfG02q67bj>TqvkL_H2&^jt0yo}B7GY~z$+HAK?*<$TLs26n1nX|&5)YmB4xb2 z;;2$e9A|+DDD1rpR>!$C*35a0gI<{v!-ah~)%< zKM4?mm%P?~eahBf_ozH4E7vxkpU?8SNM(3l`ZEO?eb)j=(KV>Yss0J9JVLct zKT%ewgt-BZOq47}hC(lQ!s9g@mVsDJYZ4IV?+(!{g?8MH0DWftb{^0B$sX*3UHdou z_vB)hriD0}0pLm9VhyI!A^589&6Pksvb8}J*Nk_g#wL2U>P|Q`dS`1LwzWA9z+V`@ zd2~D-DnzToM}?6|Cd#*^Zio&<5} zLakGD-|WbN%EE&+B4duCrRCIrfx67_6Gdxks&(Kg+sz#{@cHr z-US3POztMZgS#jPSaJnF9?0f^XbsOMRn3y; zsgMm@!CTCR`pJ+y#PvsFvi>=aMuPm`;~9ReUz5i}4kHurAb6(|W$7Z1L+)g})y`oV zr{6oCA?z%i7PY8VjQ5IjZ^Y(sp>Z6jb`%oQlK5;7i5%gzVr$o0EF{T=Q0y1_v6qD> zeP);8d&jSiy3`o>h-pr8+dF$^WA`M}Z@u@>E?@$N3a5wH#(5JJpaeNQ`REBxq8|7h z2jcO-(J$E>uk=~t`y3C~3&a1eZMVxC_2sb%CFDG0Q7l*gy4hyCN1|D$Jx(QUE>|HK6=LGx?{bC~~mweqMn zX&4v36LjHoZsafw)#lVtc*=NL+7L6&{s2{=Uu`Nw(y-uEZ!Dpkh|hyY`7}_j4Xe-f#zhs# zBCcCY5Tgfw2O}F`4HvLOXcW)P{5>LdkYD5*sdJ|%*Se6 zK3|^7QV%Jgq!6YtjNhbbWJwDdn5&>R;*FweHi0Dfm}ewQb5qjwmXlRq)Q)}Bp|4a1 zJPExM3ZfER7ovK_4Ny2Kv}yNa({;!>ZQ3HGqZj!pj< zA2`=~4_i3MV#cL)WGd)-lyhhdlZt6=t7YWk_Ia$Y*8+W{`tr`9MP=pf&}*sdZ9ZIi znFhV&E?}@f$G4u{A=ViAwHnzzMbrFB7#KF+714U6FHiK-5$3Z8eH0)2L}?9&7@_C6 z@hi;fwjdq%oPYf%!jU}8|FZxzf@Nno%RuqhAO|jsT#RBO{y>hpN&H8{QV-?!v) zIPv}L6Hlr90L&`1)>#&j`U~rGR9QUYAB~8LaT>cQxN)$9i)LD$`1w*6>Yeh!gMsi2 z?CbRmQYjTF!Z{8`PvfIR)=)c3(^3E(0bXwCAC8le@~Q|0Y+M1$37~g7fk6<X6jjHysPx;7wpD-Ty%1?AZG7t=;$-D~kNJ0FC5g`54J`vGhoj}N(XP!YJ zh6##0g5_6;)H7r&kEIlMqI05mB8FZA_Kw zTd!wZ> z`>)~?Ue7jH((_i}BjFCFz$x_#Pt^7Aw{n$;87&R=(Vm=`!eb(uVD~!O!=vHgG+3ec zKzSS&(XX}>Gntq2tUB%>H`uyr6|bfT?VIfm{jmHXH%SqEQ&>Jc(~(|6dAHD4RU<_x zW!T42VE?L6Dgm~TbvLWmq<*`d;1RP=rM5%qG+HbmC+DznVXwM|b^caYB15yc4xJ_O z-s_G((HPWU<&a5#O%54V25y3<l?XZ&GZ5fjZc*DQ_aj$@ zPoK)#g+$e=wc7#KP8hwVt>6J`(G%!Fq9M`l4kx@W*#E?4k<{GSL6;!^PcMpegc*NJ zr1^-=;k+j!dJ+EhH?E^{dEjWl+;oFr3H!J1|0eRUtvepYuEhI)$Qr3}HJQV9HsPtz zHAm2)Cz1kroW|90*zUames91{29?-Wd8ln1~@v2^6sd?Z~|X`I8K5iqiI7(6<*}2+%;TN?{4}l5rTRcez!o+#QSWKh}U# zC+xj65>*Q2cZGl#yXbVR8MZzK3-^h>T=a21iwATDKL>H9b_pMkVe<-Dxe%^_r8glf z->WSHcx54j68cPla8RnaEvl5lVHzv~j&P3*j}MxSiAN+a&vmj9k%=0vy?vo!X2c(M z6bUHwzseW&?FA%rlU1@63fGZH4!04&f~HZRZsi| z=9J*qvuG30dZSL!?$#=RN!R%3kceQedeS7PW5GzuCY5RqAU@ zpq{^bGN&8<5(tR7fd0LV6=&KbX#7sX4?MoTzv@tl#}){N>*QZzx`8^&FjwV8)*!Fj z0~A@F)}&bxlgZx~go=ZTn}CfP!I`z*b^2me^V}<)e_wG5V}RU4D))U9*@7c$+fiPL zSt($PoVna0qPM+1WofD0uZ(`!NWa4z_T=;}c&0n2Rcbv+MSO^u3!GZ3DkNRzs-BOp zC~JXBi$4YkK1H~K4GxnxINfRp&W5a0NcXS;Ft}5Gm{!{g{uy@fJT_fC{P9fdDyh6! zA8WMA@E9cml*KZ2eva4ozGET~(O?Ft6}Mk@`fQ&!Zz}zy)WPdvS~OE3;=%_bmV)lu ztv~bVz*wEEx_Y%tn|RdWxUFXq2u%3IF+65YqFtt=|1MS z>3~DnsICYu3_Wi9dl% z-$!yqf~LMLBB2Xh;;fjCValAcOa`nFESC~A5T|Qgx|?TIvi0bUBi}gy^dCc!qe@_ z8yb+CWOz@U?rNCQJ8zb=I1>=-w1zcur)dY0ui>ITv_`sPdsz;=56XvOYke|l9Ia|E zYh2Kkce~s$08)d_@0i3leJ>5}&$uS*=*2K6D^W{+UIW^knqB?6o{}QZnWIZTT3^eXX?HT?W_0dWhw!dz zDCQ>?ELB?UM)JAG@3|{0g_Qxshm$VX2xXu}xY^TDp%jnD?6wN64@?+21Q_gXwv@_T)Wgh4yI# z<4{Z9r|W)a`xM{R@Pb%rQt0fcC8KrMb!)BFGpj77I89SW{+U{hz7&egKCRlgCx#3E zBMkeW<=%~(6zax$ESA=Bp!xj{#?W}*we_dL@0bGy-Ssbt;u5EuneJ<~`bnEkrf3f7XpQae#kkI$UhzXtGGH>>ijc(+Ie=nwfF}BnZ3j3BCfngYTN)(kn$y8|h zGC0jUG*hm{#>U+lnw&?vq;f$cjlngT>eU8$*{SmIK8s*~cAsI8MD}D^M7YJjLPya# zO0Y3^z2;;pH@8B&ETyO@7P0DAVw}3XbNZAC#OT8C&PsaP&x;oHzuPs+Jtoe-YltU_ zA}s1>IboO)dz>w^IlzZnJ-^V}*4i~)cb~-L{Qeo@M_8=9kzh^e_Hz@7=xdG(MVpYv z#hLk}_@lVi{b~dGGM7W$MQN!B-1_Zi_52RX8KJYGR>M;%T^rJ;ShF`u{b+Y7KEa@j zz?_)xJg%F5w=DF->k~R{#2y2(cd;yRJc-~)Y!+Nx2Tv`s8Ii3n`(b z%(tNADoA1hTL!0j82I=wn-Fe9nYZ}AOFnCWbb5hYmF-25jq_hbJ&+Aj=$g0 ze{TLe&>|tGZ3f-1A&#`CF5(K8!1jz%K}{$0^egb&;QMVrbH2$3`ZH_#X3cro9ew@o zzHbdh-TDYo=-LPbxxc5Y751Z22h$q8nKrZOwiMiA$LuE=C>i|XK+ViD9y~{^7qVCe zN;~JB21$z@ccwIm>PY~G-$_m&`b>LPQZe@|9{|C;u58%}`)B&22VMS6*}vyA)FSVA z>;z}Inxdb{^DM+zIx}xEDX4{yUnfgyU z91QetXE`q)%RI{NE;}I;)E->c<@-O+;o*oWC+oxq;LWw8_d}ae+Bx{Q7C@#da|L;r zfMJJO;rD{r{SmP~N~`*wqLMRk8VBgR+1J!Dk4@bO&_eg3jsI+@fgc#=AqwqWvo#SGeL&7^b*5x z^ndCnMfJ`BV|UospgG%sck#3A$hB^6anXe-V_DqRSPnjD(#yi1x8^86Cp;~+;HDJC zxP?z$y;_~Dm2!FDH>`%`8PM$F|K-{TtYw1&Ne1pZlNtSg2p^3$KAdF3M8U5xa36uB z@a)@;={8nCnQjZRQdV)`=)kGO*|e+d4{iMA)1HC?W6E^&Xe;*tfVE~yiO7}aIqiFu zHR*wq@HX%_TAo#eLFPD9(?byuKd|5>VEqC8NUUT%?P?N_wS}Sg@;D=+Q=%6*6kJwf zZxtYA1~`oXmwZDm=^nr!92M1s*LqF1=Bdh-Z2yZ1SRn0C6@as&%4Ge41cn3d6#Km*!<v0 zvR0E@pYc~5SzIv)GNeu$clGp4)lioWgszfLzzjRrqN5U@cWUB~ z&EjvVgOui;UO^x&@ZXoq@_PilUE0+0@Xxuc%|eN z80YsXAwl&-8Am|F)Uu@8Do}lxHr|KmuFPH(r6=~}`1jt1k*^Cw_7_Fbe{Lspp~KZd zxV%t|dljX13i<3{Y)rA_fb`q|LBHa*6Cmxc5C7Wc@AaY)G zjl+DLSmRoUO|lD(*Pjp|F~F*2sv3yCj#mEdj)Q}YvPX&?^>4%nzRiYKTy&f&ov`Jj zyvw_Pv0ra1WvXropl3$#&072ql%>6bY#RqRl=$_hpLre&p8y=u2%y#MBrg{P_hCt5 zlDFF6K2c*+_J_^=GiD}Q&x5JVzphZT(A95g^CyeGcJTPN5sCQ;PwMFdE|-oKX63f^ zXq&BgEp{}R=RCbK{Dz&s@8>WWMP*DHpM)+ucK5pjg-hTR$o`@n<$s9#A&x5g9yY+} zIVOL@-(!rQhwy;QmQH1-g&jen@Vy&c76AxBA*HS1No^tG@A9PMzbm^SN#fDqXx>w zUH3^kuDNsjrUO?|iA1_lT~rAz-ta;n4_=o?wc;MSMi|SlkiPIAvMRQ}0g(*xAi>|| zT82Jo-i0wks_d+akts^239IH|lJQ4#VxGTAvD8iz7=sq6zMD;`+n4{W+WgKa9e2%V z%W-DnJ=7CYvU=I_=l7cSi;;16vJHO+d2DbD9zc-IOx8Nj#Wy{;=uk++KH7YJ!7fc+ z@MN(DaiI3_-adVc6}X%Db!u%4w?w)lc4~yG_1LMsBt96H*jQ|P^NX)d|0evqUEnvw z&taqF(NPr##{TE6L=$~C_W2r~858Vb11w7-4SC}cUfSRnz;rP0x}um4z#I;A0iX+C zTh`1YCPCo5P_V52Ioz(ILCmhSvdI7*6t}8g7?l z5EBGsbzykmr$oM%?B0DQ=RMWnU=at;lUyDTq)SX(ci?tWyxg4uIH(6@Kx zfkLiFF)e;hKRDVpzG=#EAdpX0p=cTSHVWR)sfQaC_)--(OiS0TBVHchtUChY%X^Ho zt^fFgtX+lN&$QjSf88n@Qg$0j2H^|pAZ#a=>h8dU)tZh5kyx`e0~QTDGQogtW)1*e z=teRcqW#X~tvQX_Do-1h?bdfc+4P!cwBLsR9otj(}_%SV!GI*dnAljih7CW-BU-Y?U=nczI0?I7cv{Yl<=ZPO)0I_)=7ZxuA6K?9_ zE0+(=S!8S7GufHX3w6UdBZPl^@@noTpK?mqGH}y;cz93g^&PC|3V*-VZCLxt$M>M4 z{x@1_t+C-dq(s&7#so3>K>tE^&0o+OS$RSm>7n4i(LK~XhE52=pc}k{kR|i7z?3w{ zc?MvAjET0zfoK&WPfrI!kKA5;vaDjf{`SI)0P z_M0eNRVSfZw)kR=*Ab{^{G3wiv%_yNu7x2{*&-0g#4}YQsP-881F(^wTTBXunc!y< zi=;=w+Xnpgsv!NjA5e*>$jPX9xnP*=M}FELtQ-X`O~-(S{<}HET?0pNj#^49>b^Rz z^a|S!MvFLg4xqD>o-0T~3$%|dlu_Ub8@uh{}hB}^zO?3s6VG@OOd>^(LfDQd& zXF*Mf`9!Lg=dhpe9M>`ZA>R~jGtUTb&?ExZ`N!Z#(`xGU=g-j`BS_?Bta}w%RuP}> z5bmq>WStm@9#MD;?`WmKMqv_*=~h}jU66B!;{#(C6MtYFENWG;%gOT4KT#_iFh<>N zUHugXg89~JiZ}LIPNdD%QCBXS1C?Zx!@_@-{z(&i&^(qpx#az2;l_R%3+XC5FE=_+4SSWnMs`-?f{&MHe zXTarxs|DWZdV>#tPK%i=E@T+?TnZdn<4b)63)saJ6Mse{F-M61!jzN>bauTs<-0rq(P*)wJlG=$* z=R0*(^CNHh_a1TGaWnWX>1mblMV~DvGD_XvnKKrvJO0JZ$R_i9GA5tGoxRzrQGn># zeY$KcIX3!D#zaI7ni2z$rMTqs>X}0`E8qYOhRq&#((Xn6qxy)mXY44hV3-&SD5*PGoP>i4-k=XV_=sRcBXCJ`N zLA6OAT@Wk-i)-MQ#O+s|UjBwQy18fsN^BQV4-oV6cT+-RpLzbsVzsAi0veWfau7N+ zuX8a824>8m`0(5O69w){EpMiIRXUtUS;GxX7+STZmP0LToRoJI?FEYw><*F=FSq0G z4$Tvq;g&z#z--_LN8~fHWDKw9khKTpLITqQJ|gW0 zg#~s*lL*9-vd0Og|D~(kxX;ECTOA{4j)^~4S3V7TS39bN(r*#`n%tPWxyXB)z@Yv^ zTuXt8*G2Xv9~`1hk#J<>ZM+0r5I!r~T1XHLRF{^#GLa|7?^V8E_L7Ik`r+|<2%yaS zNr-75v%-B-qY|Qt&j`#4Vnw-*&bg<5tQ_9ik@LJM@@V|{Mi6;7`V#sUIseRvWJW`+FG0>Uc%G! zQ>%EK|9fC#!}__V@`8Q1zM!2%H-0V9y(_&6ZGbb* ze!qEA&Y2Ax^OFD)kMU}w62BYmic?UhGNiPU3|w*DM|uh-3X=`WCWLPlMAJOGf5N=G zw84*%C`Hv4YN#Z|7VQ2dtOtziaov3a{ev*#fl!z)v%Pqa*zFmYO?hRLMs?S9n{LPH z&OdZa*jTs(#Zdd+jy&-BMI}USGIZUSo8+W1JT&gd@>qIyI|48iS~^Ol0ku~r=TvUB zFVW1RvV=c4W*IF8k+^Fx2T?j++rII`E+P*rSDD#(j9<@dGlr*@jVqo=X8RN{hlElIwP~%%_F6` zn~&!{57|N8WfueMzfHLT$ER|ps*X=0z@g>!4NwirBl|j7SL|Fjaadx><%|&ls6gH{@*mZ zt;k=jN2EIm1pdTnKWKM;ovgZ74fkG?ChwW>$~em)fQd3no?1d^I0uj-9L|z7#s{h$ zEZ-#41f{Q~U2XKnyhou{kU&zq*%dA~R(l$6ei%1u`W!Ep!)vF7*ic5vFzgR;32v|^ zhx@Y{3rgaNXOqqlWfdHQZKK&n2cS1W}yjsRiDba10J-1<3iCdKW4w^cVUU#8gJTOGqjAX zVU7X}V@D6kIJ#U$rY`@5=eYXJx$=78+Ma<&0t7Fr?TRHJ)n{uN2v_XyS4mT^i>EiY z&BhOTNBkWj&C@2l;fV=wJx^>5zg(Z=b|?3bj2Xs69@qNNg=dQtcQyN#4A96Wyzfs6 z7xY~e=f6kt%-J`b^Jjg>)wWzhG+?Tz#K$1^54M)Q+rZV*&#hS{7ERcOBXoD_V`Tbh ztMNHJbP zqDWF)Ikaqlu>m{`>VLi(8L-S4@(~tgA34HBbd3&1sBXq`?EwSA{D*Z9@*vII(kKTv z%!F2t(yK~p+30fA;`fY~R%l$JdzDQqa)62=JDw$?cfZ-ub)xV{!^|x9DgWwC8Z7fd zT^LSW(|a`udgJQr#bgddL<>vjp)z3MTZKG)xQ0>0yrE4#AqyVdFwFre zm+}Q2AG^lO?6<$eInmA-Qa6`@EG5%h6ZD{r20tKNJn~OSKN!o*2S09pa=TcQjTSpf zF6(~)dHz&-25!Kq$PJ)5>B9g1I8R9+l_I#_*-Ps-#C)m#9aa9TI(9>%_-FML1J;x~ zfWJcZlY}_PpR41+`zKqwg>4N(7@d0}c|B}nk@X?!I`63KSBC&qG+C^wOG>(>hpbP# zF$g@sGyD)h+JtD!u`*wp)I=bteMCMa;~UWRhP@srx{Kz_J7{m0ZvUl?KJP;wXv=l1 zEyO*3D=PRMD*b)EwWY+8*b%I-`%&v{P0 zc5(ll{*nNsF%ynIV{=JJf$=n7pdi|>rsH>hG`jE=gfYnuhsMVx2PMy1)6kk! za;o&_cx6j9ks0k!zjoJS6A#Ix{O&`D~8yI->g5P}^8S*93>c{>~IFI6LhR zNJ1>(ABNnnpFV&4o&`@b?J-f$9?7{T9W~k-sqD(q{>})*)QtpSk!`O z$@K5hCexnowUY%1`$2t{B8*?lHti3WF3*C4(lWmZ2hl+(izBH)%IiNWs!~Wm{cmNw zA?f%i0h{=K1^GF6HtRi-l~0wy@Z@<>f+r>44q?{&mTUpv01CNK#P9fHf++xbtCsoW zW?1;BIrOHDBa)l#$_}jxk9oX-rlPNwU0L|~mpQ5^)~<2@E}DX9$}mE#*u@u5y4G%` zKxo?$)v!esFP|7x68o#8!e1xE@*_CH?{h=?x@rMh+lO1@ z|Hl0jBuFzzH`M}lmXlcwFT^4#W#aljJ0vdJ+)j(=6jD?q$A20@(?}5t-;@hY@tSjX zGda=7?z0&-=DKB&(%$INO1fot6`fN+;h9!j-H3+~JVUCcXwGRNW7SIJ7wNfzNL8&5 zME85x%4(ljv?oPxD|)lxO$CSZX;8Dq*NeH)TYtO0drURIo9xI2sXYzFr7BUH@tY8} zOAnw?%NCP(Zuy@HM@I`kY3p75ZfRjJFXXZ?p}R3c)2e&?-v&w6P(P!+vi=l8-gzjt z)o7qz^0t116yH~v@Toe-p8Yv`DxO4)!z+_p9Ip{?wo7(1%2i@PF=uR11CFKiySEny|LEze+o*G_1(%>FOHjPjA3!FBXXKUzBsiJut1BQ zn~LV=JPD<55D6US=3m*GM8mz0Cd}zW>^w4pmMuYF?`9`EcCTdVEzBoB^4uK7{^)3s zcPR8(;>zH=!G~?dt&R?HA(-i?S_tpC7Hq&O?)@#n$yI0YzaCTY zpF#&Z{jsO|GSCNwcb_``b&Ato%}UxX6-VnfdpIxb;1B4ST5-_1V;Y6y zO>`UoM`=V)VZbDNGLT@B+xk07L`zp zUP$3qxpd(hSKr$-*5#!6X^X<{dw2aJ1XBJgExd;n-o2a{4pcA&=^Y}L5xVozYWtSe>|y56MC0qtU(-h(CSkR4Ky5P zJL0H6VikfWAW}wlnJe_W3mmuR@DpK2^N;hBc7~pRM4N%_`awG_{!t_Whc40FFm#53 zdF!JhNXR={+x?U6PV_jGjQGOl3GIUCd2?kCmn14f_w^4 z#?C?ROMKXePi(+I$41lyPw4iDERraaP~!9;pUV*{DM`H!Jnj5at?4|F+bHCvGo`Fn z2@qqGv_r01pfB2$SE(X(U+VGGX4)2WP3m^708mV!5&^F<469zCR8;NT#c8Akl!ieh zl?G`Tkq&93q#Nn(p~Io1yCtQ&q`OlDq`NzZnfE;ZwcZabzOiPl;XdcSuD$nfx2)VC znP6b|%qa?UG7gtkrD^w&m)5ny}*krMn399ZqApZ^>W^sOkqDMbmA2pTN~AB5hSBE z5*C~J9GZZEE-(^HrYg*YH{IFKHt)0GQ+kIcGp!tY5zf}h z{Cb3B0i1UDDhTYlufl;ZQM}@J_wSc_rDfJ7!$G2t^E}IDF5wWwH@+f}6&9N_|K8l` zS!)uA?1lq-d$r^t!_Y?p36hQ=0t*3WZA>=EfAOv}G2eMjt&54_jdrJO{Re2m@97y% z2XT#wn;grQ*&#@>EBc9YY>=N(F9{{LSxFBH1sYo(#ivAAFUvN7s8e<9`+YRg2AFqj z^NIJ)^@6~dR7oEh`vI$T+ig_yTV(aFf2=o?siQ;L!$YbsUv0|D{h6gp z0KWBjSJl;4%vUz!xDU!yDn@hA*(Rni%@3w32+f3av=ZpikW*H$M8Ps5r5?hP5RBG# zw6#AE^cQ`akx{l*?emd`hO#*32Z>!ay1ZzCu8IGhYLYss%42bha5-FyjCO;z)C~>` zs`c<7^7>QjUGh)kQCe_M_mjM;$D!w@O?K`mJ;KC*Kaf|fZ)^V#>#p{-B)1?(tm1Av zj5bRMnJHM|AmW4<%2W7jrz%}%j3k_YXLj!iBWC%<7`Tj|b-=DLuIRbjV!#AlkdcoS z!XqaQtbd5l31z5M>!fzo5G?67Wj6A`psQ--85B(GGu0Eri1H#xA*}zFv}ATl6_LhX zSrBtv-3!|@Hs*0qDvmdDVx{_g)tH6~Cj^B|6Y1<6PPEy;wT9!?-Bctlc>c>^Z!-(T zaFaa+2lSOfgfWd&BFAm_Ot506P&3F)UoE~Duw&MFX*KNpN0`(dk{qY?j05{s`SS!U zW)`KB?Fn;QR?N=Rj{}q&P3uq12+O=59*LAn!P>`^vI#Duj=FQo+XAT-TeS!i!#_^s zOy7*h;_rgq3&RsIzTGF!Gkkuwl#);r03M{sxt}p}B(mN(1#T-sf4M$hhv-ROYPKCY zQh0~?OCnzUHTa0-xYOs_JAA<`zPb_pGTI})IuZ;ZH`p4I4m)m;<|`#+=JQOM+!oUa z)Ku|LK<(CTYzE}tJ~|dFuZfTAM&}v z(EQuU^+J~)n9E?=o@=nI#Kj7NQ{y>|^5veX_*B%UWuax4kSQ_59PVIrk1585IGg>$ zh=@d`@5g%w@%eo(JddLMH#3;Ue?ogC*yF-QKT%otvPfSJmyUM(k~EE0h)8CPM$DE> z7~zC%&krjAAp5TyCUb5zQ&$3OBDQS36P!HHyD`guChN-kDGffKH0&9;_N{tMckx8v zVYq6DEF)VWHCF@&giPmD%60bS`#Zr1KcynrMWRtUW%pqlf4k2XDC5yls`C7zdsQbg@08$WsBC66SfDUub)Fm9w;?nh!G+ekHBSF+?2$n02@qI+-u|@&xf7u!>8EIC#>Ng{@=(pzV||w2NZl$#-exfKP)lst z`BwNiSrPX;K;m*QfjS{uU{yI2?MIUu;*OYVcanTu*e1k-`LdgmpY2hV#b8B5r$`|f zB!n(A@wy4DPQfe7LT0#=$Blq)gLJlI?Rn-|wy6TL=>1SLk#p6%_^ImLf!2llpmT+@ z#GIQd8T)cb+6`>$hp@le$J+x)O?lR_2yt?!{0&H&&Kq4Rs4F&huDog?ftt(xu@`i2 ziW#$YgXc{R+Hv+e!zo0b`BMgWVJp+ad>P}7!Is&m2bI8HHVFsWXQBO&xhAl!@wPa|`2EvzV&2Zhx?0w`_08wB`4rh^80rpKC7q05Fz+o#`Z z(#|^1;NLHqymlwD6xz08b_H8k>@4Due?YnoXTQnAs?&s7m!{L5t(Q6zDPb?>sIwK( z{`vpcAyY3m)=MM5m2BX88RRgvm8>j4X}g;~*4uh{CRcreNK4vxt;OSp-vwf4wA{6J z=wJr0dcXqroNqvU#`KtjXw&QFxI9AF*VT8uJUQ1seYfctOO?te!7 zLZq5G02y{}lMSkpf&9z5YI37Tb2$WMW)v6H>i+&(+Fd$dGpVk4}M#T7l1;V$<_f016@H?~nw6xDH*n5D6+nTST(c4JUhqGx zk?c&?BiBRQgRIr8q;9aS27_`2@o7RNPnlmBtq3ko6bkkIt+Ol#jN}sIX`;o<7u>Gf z%UDdAxnX#q3DDieCBP+L-wMOTqbQsZ*ur(Ap!R41%<|>oH2x7D%j95xU&5#{n(re8 zZNpj=d(U^Pz8zc~W^|&t(m1gC|t@iqf$MOrk zzDFsFn?5cQlYhdZkh1UX=cn5f=w*ww?xqBjedhR5Yl?}AU*Zr?OsR}66_t?BnuEK_Wby5n?1@{$&QWY#1v4w2r*K32(bH51K@LUeT#>cLUa zMUo62rhU{>5d{xD-T#yZ8#1RQhLgxXfbEpKOLv52g7SK@Pt@^0T z36L5F*A+)6?9!&G+iX&i)~Cq9Xwvm`CCx2Tl#kfEuS>B2QadM_qVKIUrbfa43lu*9=+y>hFi81pBg0u^=gy-R#ww#f(k6@gIwde@H@qVShlW+zlLGW^P| zQXQAre+AW;6QIjy6T)@uBWfUI-+1_7oMw)K=dTSN(9N5rbMjjc6mP&^1C-_HcRRhy zG?bJ&jz#iy4ClT|=$`!CUr!ptv1uLnh;q`-+GwhlUGdS6#eH6J6D=e`mXijB6xDCO4X)`I~oZ?UxlZPOmaw=}N0Venq!y%&wU76l;3eWz}^J}wpVI8fuYkF15L3Qf!G zEQxF~;8mVj8#H~@1=;60G_wL*_)KeXUccK+&O9*qEhH$jxat0Zzdsmy?tZ=J_;j_& zubERBJg#W^>J?j=5|=dA@|baM%il4Ud+MT^)ye)FLkFA94Gy*Fi(1FBU;;Q)2ncl@ z7twu<<{AXOzA==gDJ)-r+TOsjG1D02j1k>VD%A=*jW z9ZSD-)cnGmoWw*LQSWN_>-KyX*hVN?KL}}umaK2_wfF7L%KfML{OUV=cg*?BJwy4% zfZZHDfmX7rhcffQSLo@G?E;Btv7|>+wCi4hX5_9?%=@6JzO`+LUSj9u>XS0 zNAA9@WRNZI-nMIE_ofVur2HD7+FxL{zdgk^Wm`*!F~ND8VF$Xs4*ue!fyr^OYK=fe zDO`E-70u!Ps<*&yMtz4dAct&&@X_&k;kpU9JQ80IItFxc5h^6q8EL#MATGB9@`Ya- zHo_<`xsbK}768~t3F~;Xu1goT_(kqqIIh6BQ4qGw2s{w*M<2b>ZYjgOiaQfQ)gpX( z9&L!JVrKPV9<55R@2|9v)#i{RwynLygn|FFx&llU)(lg^Ki2pz_LF?XC0F&RQ>4Ga zhuGDxF;r7325YwCZdGCY4HMoA`Y4Z(pKWXs_*aAF8!^2inY_|b0`if)u!G{9%G+fE z{40V>RpAFgYfd>>FKX&~&92A5%J~4aAR<>C|L2w&DMl7|Ak~RJ%hwCi&hywesq1)HUSGHSrhD$2YS-FLC9x7l?z{h8caQ zacjvGW~8KS0q7q##HojCkY>~!|GWkH@dZQ&a}-h<_ls~FiQq(MH>bXDH-Mfa&OhI@ zv>M0KDyo@_WFpi1`{Cb&%mAuAb9)?K7Ser-P5dQH#zVyyUR= z-CbrYZ?WZxUR-N2VXA=dr>F)hw^wv~Ieq zaH}5=#uD@QPJ(RQOs$9d2Ij5I2J5)9znqc(aJWEgJS@wlM3T%Pel1)9RNlMw<3 zelyzA_hvKJes;Uj{0lKW>_tG}|C7lwy1lN;P#xT58@khpi65ndK|nL+u95TG&l45P zqlSazYl~?Tr&W~RNJolO)Yl*UbzC^Y>`Z!&p?LISz>+1PNM=}R@{cNKH6l3XWojLs z+#y&GJ6}TShw%X6Nf~Z;C(q^^}H1U#Q>={9OU33Dmpw)tSEeH|sM} zI=H>f2`w0E=%qEV#&>Zq%!3Gh=$JLSC-qFf&wx23Tw*d^h6K7WPSSwh^Q-JL*iV?> zsQU&8F*HHCinwzpjqi`E!u>xE{*CD>obHzb7akbPj!A64ArmSP9VR;yq^aKmbqs!? z-1iR1@u26e1}-*CpWzbcvTC}Wur!PA&-7KG`r-vDARF9rTdHBCU)a5si7}J;4uC7z!7}2r8`!J64cM5?N;;t`J!Ug8TR4um zOpUmPWIX|FnAO3oiAQwxy>Hw{$N0(el)i{2^ODi(U?dts322MyD^ZN~tu(K@0+*-Q zRe0VPj+|Y~11Y%iiUqmNJmOQ8t*|5QnQjKd^Nx`~<&D_OR+aG7iPQ(mr$yyQEA}Ik^)QNt1LgQ;euCEQVOdg3@MzAV9$mXcslz zs7}Mgy>Cc=T-3njwqB`~gk$jAVPyA*O>bke zbSSP0lLij+8!Fs4+%x>u_gy%I{CxkrRfp{moaAb+S8NZq{aBC~XWViiWcPQcDR^;^ zvwoZ*rt-J6A|pE}@Y|sAM`=Xv8e5m>^Q=DBGhMbYK0L2Jv8T`J&zr25;G)OF)&FM! z&~~`%6ba+66R#B@@_0%3MENgxW+Rk8!<*0_f+xa!_b3%dQ7BgAnSOB0sO<-JUVrXS zwE|8H+kSq(DQ%3NnSnavw!qbxstr&d6eT&4^?{)$`Nm!w2*^3_0!Pc>1nB!XEmu5E zli_}%uF_6huXz3Pm$q|nASTVe7-PF-M4{o9mH-9I8~xrDg(cv~KeF(dMjughC~@@i5tnXa31huxSo z`EMJ+|1l>WD?z#+&|81XKS7Ji)P9wk{yWl=-@jqs$C2}Pws#O%+RSkHeUZ=MWbzJ2 z+q^lOOmWN1^$;wPZ=-`CkEcd4_av@s1PaDZ8I zL5zrrfUx!UE^`U=CllKzhRWfBU{G&8{RWqFCTizPM;Muyz=pOCl@7c=#c*2kGgLSD z8Vk-z((TkQ7bB?fNl$}j|J78$+uC-w5xGKj8sE5)o1fmP?vq14gXZd@8d2-)Ws0g! zt^d9~3_g{FzEOQJ86=czIE2KK`G-92E-&pT8O2Yh@6_nb$YQDT$5EDgwD1u{&s$*? ziZz!fGv(Y-bWYwsq1Wboh37Z{z77IbWzaAsb@vIz@qIwR1;^vBv0&qJ`$5kVC&zQ9 zZd@h|tviuNW+1YrRPc6bRl`sf^l!$VaI>Y+()$Oz`;=TRrd%HQ*x3LKPw#}=iu9%j z3U9?6)C2<_1+z(C)we#@93PXufq!N zR`KCa?t?Z()3G$LD1Z;zTJ%RWS+-YToNz}B=E3={*5)J##0tfVop9W##_iapuyI;) z;o^p{5VSU=NSJ9Y@3#!BtEv^tp*w;+!SJJM;|7`nfvqa45p|rn>dwnw2;b2-MHc&- zev(72BMwPGyq(J)f%-Y|`uH>e;iFw$wuTId@)v|0b|=uusosctE@${TH+}-l^L!jF zp`^QiQyMG;v@}{ml$#)1Xx^Ag(KkHq`$)Xi9V&-=ULjwY5jN{c2%DuD@4uk5Q=jlT2b zcBqHeI#gF`2SxvbFVf|X6x~IQ8~wBt^})zSe&xR(yLF-1ea*Jcf+u{S$`hX8f+9H+ z-7iB%h9+}a&Io5j=ol;oz-ms-N-Z`fcQCKsuY8(bQ1lr?S4Ge5zkg33<*7NKI>n1J zg0$|`L!`hezVk=1%Y41d?ww_U$}6{k$a`06;xUsilSE!QghC4LD|6WB>i zc%9h^zisMdNv;U-Ot5%5uA2n*aUCPVU%IFJm{=PZO>CfSkL6b!0*2!`;5DXi`SrS$ zEalb^_(!Bbn{;W^R^hAgmubDPX%x)NM&^DT{i;*4ArnIiQ5RP}NNAg$*;PlRX4;)} zzupiq4qHZH&X*}~l4OhH&u@O@_V4SN^x=2Fgp4P+aXfc1J z{hKdC=ofq7-C$FQhA&iTy5__?JmVB!w#sYLryy*ZT`mTxAspfp2bI*Eaqj)UsAN|; ziMK<-hsep1K|fru$gdG{2PWCA_ryp+r`?~531wnweRlm(yXTTye1#H@$sajm9WRHM zvIQfle%CDfSD+qcYZ12mWtu|2| zOqqsk5kR?&9ROwY!-94Ksp-P9m)BIT_~FkKgLi2-QSWjn!)ruHCVZ8kTp+LeA1kC2 zNc`7T*-g$YrIUVNw$|>zo;l&z3+^Mi0svfQ}IrvZgsx8uwjG zp84`B#+>jI{X?wudp4k88W*YiOv%$;zXFWR}LB=x=8 zf!+)!p}oVXZbpxWJ+X&e!Ptix!-8?tI4mUJv)O@ukg!>FxdVJ;%;4{zm-`3|cpuin zc9bcQCD-2O;yL9~u3WJYGrqfml0)_@0p4?X*hqAKFSSZ6;vn0;4?gRn+q$~*1a^~1 zTs7NXNk_|5SXL5>wQ>k!qW=~Wr5P+PNeoFqwBj`gK1i&6jPdoth&pq-`lL{P6rC~oGS_X8yx5<+PQAK6X0nLhemBm{mgwA>oOdtBF zW^KzqnZ5VP@=LRQE_fq&voo3sR z7XI=N2y@ybeCE55N)r?P0sMKN(z=P6!L;>Y@*rWkNS|X|jPS0U5?jC*OMS-5?R9Bp zpvr48MmCX?ohtA$q}XXDY=#WpX2+e_gCN{ixd|&<04Wvh81XG9Pg~7BOuxleI|N%m zK$yb|dJfb~I$K3~-i-~czGa{6rp<(Qs>cKA{ zlby-gCs~oG%C((hxnG3p^BL_gC>Fm&{DP%agwBxi#cn{XzbA5i9VbzcHyS_Iap{VA zb6JM?g~g7^kq1jbO`%_vZyCJL@UXz-&Ig$;95!lmncG4)tYk)VGT1QIsd6FPtCI8E zbOH$noofG3^U;e~kZ7Xe#y(-LlZ!`{>K?03GJeP8|79-ow#a2_O!3T6A2A?Sb@>p- zP|@Jnqs0#VR?ADfrXQl}68}sWt#{U{=blXNtIFwg^alsY%MkbElspWt2QR_9_f4zl zHLaK-^+kt6U9u!hxr8!;6QeP(0**&lMnUB1LC@;l?Sz{iaskxHU}Lr;f{D?p-?tPT znHT>KC|#no1yGrCby)`rmEyOtzJ5c>Ga<4aRn#%xC&n_uxYYV2tN5j6t39~0Y+TV1 zx+M5!fzKt-O%sb+N3!__RQFXUw}F$p2Xga)m%yhaJAA(S{Tw)ncq`duLQqB@>b2+{ ztrww^7T)h!4^$T{C?(h6jL>b7Ou>K!{E-vRcyIo{g#intH)JJY?ZNA^;ufp)MZs&| zaTwhaVvs+KXN6+)q@v%V53t_-gZBUai464v{p7;QtfDZkIV-PfAHk^{VMF3z3ycx( zY(S6JVF$QvOHn#gRI-&+^SUwhk{3F25W2oJv-saAc*>{GNCmJVJUDmG!$6>T48;2m zEO4Vrm++EQ>|Nrrh}UZrB^;$cF4lPhm&buhrt@d}knKP1nEoTP|GnNLk8oAJZ(7zW9c%zs} zAn!yEW;3il=k2OqJI;eipCnGQ zarfQOlqZ7b<%{O z-cA3GN@jXb?kA5n;euclw%{#3gCUjCYpO{ap6#tRWTWmT-9QGf7t1 zABCmA1iQZx%yb=5UXbI={q^+j-|HBYUV9eZVya;w^DFrCJiv!86f@1L<9L`Z!rcJs_hh|35Le>rFc>M2&}Drp25u zQo%Jm4PhaiN2SU}1sxxz^yE!HA9lWC8~m>`a?Xti^K<765Juu=DVHpcL%fUYFsSpL zjh(!2TVs5-eahgmj7eeRvz}o)Tr`bQb=mDEQ7=hd{NI2N{MdZC`=xL@wwvKlY0tPik)JhkF-^(Y>VER>uZ;`C)7`^f_WNnk zkNASKzD|#z&Cj%u^gi819z|eK=RGv*)L>4;;nYDe2G>sQVjp&v%=7YrBQ%op28wDU zTD#yTF{B;Pr>==niJ<<}ucp_*@2}qSBKjvrwWGXF8US;^X<6(Q_YIfNX-&A$(QzF# zGey-xD^>#00_8gCA+OD1?}Ryj_@0?_h28pIUJQ|hqc7c+pa9Jq+3)-a=gwWId#-5i z!G_^cJGYVvs%z*jzMK#Lk2!Jp7+GH(_{koJGD11G%Ki;14A2~Egg}t7+w8GYw>!N!{dxO{u1GkdhWRNI9{YExB@oH421>zfLes% zM}Eg!2|QYRz|iQmlNhg2bgQu zk{3J~nHMHX%nIF0w}y{px{AQVg)~IS0@yY)9XD^q{O4`oGDV4ldoTUi1mbv=sjr18 zLzwP`T(u?bq(PdOSWXHF1h*@BhhIjmYTvQ+$|2+87x+v`p4&be9fX-D8%Sq4_FUL3 zo^Q0HGOYTE>(y>q4P{}T{Q95DxKvtP20Zk0v~UQhg*2i;;8k?hgr}KHN=C|TS*_u| z#Pd$6ak}DH$7l_}c zV7XRxYyaEdEYxtIzWB(OyK;$1S2U=veG@7WLtvnWJB)qs>R216BVCI*wo^!2rBcpa zL0dFO3%i%N0@C5k=ed~+r_7wH-JUOmj~bo*tt-BgRt^y$tZ@K5QnvJ5M9Gba!!&=u z_Ehe+a8h9aIl+_vs`6i_59DFg@SQ~n_3o01RSUG6raE5}H`b*c%97TKED==O~OaAM#eR)W`hAf|l>7I7p~F-3jhA zxt2?F3V&i_P>0-Kb#Ivp;F?$pbV(abNL8~C&N%(@vf5;_C;R>1kg^?%Mk&0-fIsKx z`owMbjw^SB9F_XCetbm7q`jZ2F|7EB;2)0TRsI z>EG!WtIwRwUdA=@L@K_PbO!`yu*8yt5_c;>&quPlk7Ew&cGqT4h*pI^@WF|;IiiOKdzu;mol#P9b6TG?WG9z`q=9RI&P|o?0y{;HLo#c|5EtU!9gm1EN-w57+L>45K#q!**|5zBUGX0PqA!W zA@rO{kaHfr_U0R(VOoO-X=(tk8~w$_y7Ea z^n!dA=nP5|aD)@;qB|)f5e}0P37;Oc&fzDND9~g0KJt)OT6#XoAtaiZt12O=E8E0- zy#W=hc!^rQv-lBVN1tJ1jE)7v5W>brdIMYSNN-$Vcs<1qJ3gNu$JWfTQ7X)D2Od^P$3;HYAU_ig^jLXwgU>RC;`T!vaNDB+y1DrT^7WdhZs z$O$uwI6r?Ssejz<6XJC7_)d)^I^LAP%{&$~ zyg&I&6u=2WG5GyKNR&;YBH0@RVrfe>Lvz-94>Vh8b)JE9RZ6iQB5zqQ@5?o%-U~&< zcAU+(kv3G?vemaNQ}{Sk9SraYNDGdv(+p}q5rj=HAm!T@N8@3<_h9G$*P>1;gZ&;- z^}N=z{;vHIOyVCEcN4#&brZBE#KCk7EIEW{ugPb5{wNd$PuE#09|#iwzEcuYgJBsY z8F$}r*gQ%dsXgEUa3f-?5v-T4-Zk`=#8leLCV1_ZpE??yGKC(&S#qrf=d|!&@5Z#= zugijVm1dTG;i{{1wh z=JLoU0z^f|`DZ6A(MT%8qh43M+wTf)UhA32b05pJhtCIj@11y99oCnMSkN%HB?YD2 zKeE{%l1Y@cD%lN)hg}1?+mMohmFAHRq z(`!W;hbCUMl!mBVc}mesGkQe~*rl}N(L%{@JW=_u=vNg~3hkFqN;geS>ZL;pHtj-Z4?1!0A5Mg(vTyb7DFbAF5knWV}_w>L|O(pw1- zS?Qfqihq31cIoitmI<9LAH*&c`Dp-sShO+bg}G^UW1NDxJxoYXQCCL1^lM>yHTAeH zZT#AX#4V8V`&fKMSc}*k&iQZLkiNXo1d?clJl2r}TWUNkbY*3g`3f8@8e%J>ZDw(A z#PXzh*JVFT|Vu#h^TNq;A_DJAyB_UL-Z*ij-n0l^s zm_>SHnT!EX_dpP#-tXtN>2@nDWa78e*O9ec)A#yuzr%P)grBebv~9O#z2gT>5_9%$C0{!#Dr3mv}v8HCaE-9Zd9)7m`ny{$iF8{|jDLD7hk#yG<#6g$xZ|yDSFU z-+nv`#^&Oe7Y$2!+3F3QNv)FLZWo{ectL*94t| z1p?4Yq&=|PR9$%@BP7jgMj7Rw2PYJzLmDUPu$s%nb9QQEKngS|=_|}Q_m)Q}l1&b4 z*%M+={s!Z}3B@X)|ZX>m97Y9X`9I7itIPvKvWsWB7&^rvV3pCTpebfqh-b zhs{yAs&_g>@kSXoN`X5$9*99vxWmevS3F7KJDmra7pRDklHrG57mwTqgQ`2`{6snJ!aE~!|UF&4R~)DgX3IUc%Y*%j{l21Dfsv_eD3h4 zO71?|3%;rj45W=W(0XOHFjbl~8-e&8awO!2@Htc%?Mw2?1;|&@T(N1%czosyOr^hT z+Msj#gO`B;LefVdiIN2ck{Ao#habPuAyAkON;Ml-_^uVih_#j0Il;L^pr?cqrVjP) z+79CO3#pF@!p4z$s|{#4IR8A(I$XE#_-E9WMOm`Uj_EBW+T2g>Bf5CZb}j>uQLO;3 zZ-|I0X6Z-jqRfnv=>Z(Dd?V~{^7+Yv@b+216T4gdc0Z}%EA7ZF#w|i?Yp*n0k26e4 z+b6=+VRN9&EWRB;aR_Z_k1c+B`Rqbd@}>5WnSsw4N<@ewZ?^NIg1JTZ<;e`h=C1<% zyWF+B)9d5^<7CR%agPUX_tBC0PrLqAd;y6snkC?dQtU@c^QH&X9&exM>p!eEBLpqtX&ayMjbF>=R zE?!bWxpX91wqQk$D7BJn;2nR%iBWg1T>#8vO8Ecn*I$n|1KNqNL%uqPucxAIc=<69JlLCQ@|{9Z3vH~zp_xNINUgQGX7h) zW|0`qBiMiNgSffzat_Pglc6I6rEK-qWnMT9#jMF%?pG3fv9VEYVaF75#H+e#ohLl2 z-Wd_+r^07sm)2C@0IdMWb5%=mw|c@s)n945N`>1=Ab)A+7@jAL^cOMGmUY?2FS1~! z9=N>MHX`S5#c}+d{A_+edi>L&&v^m&uC~T+c(K(CDEh-l-`vErWaNqOjPxf%zBUx< z(R=oE7+k!+i%Sx*!llVvLQi^aF#2(!o%AI}Oy4*6J#9C7(^RR*oXE-*Z=@vmP2xAg z*SRxgry2{5-w*lia@oG6%fsSmAsmx^H{Yz3aE!>RCmd&no@FRk@cDpf$@BGbxK5%fdZR=l=;ZzS_e&B7$1Sbi+Zb>~L2fBy zyTou@twPF#^Y!bPPTdw~2IC~dv(=8B{eYv&Hg<{1{d`USUu=mbj4B$gnJi|;3jTCG zueut2ZfCMGXs<^`o=d(6D z@%{5_`sb3;$3Ytdju@QNU4J0+FjIsC$+VLf16NayNpHhyvY==a=)_%Ue=}SIfOh7f|O!BuX6&wy#M4+opxaUk=m=i(}p{e ziYi*zxCiaweMk*igt}(St7J*15CV(7%&s%)KVS6h%!&9_G8XKdV=dL9RF-JqLm^Ws z%g@ay?kmlQWky@%c0NkmjeA1>El5qQe0plIO2esCM0B=K(Lz}6+XoDdiDpnn*#Z;u z_xv>-@7!Up%~T>yCE2P162`G)$&`5pARAH!0=+7mt|%yM=H~FMlp3-t;B>?%P;Tl8 z^!CZ8%*s>D@teOWN8tE-Qs}e4IWJn5ebZ7|aoQz&-h!R(-f0tO7TzsP;&+p&g>TGvm$4|XML_fx zT2J-D6gn`Y;W32z;|z>(?7e-?^va@p)g^NNX7o0qfV^c9PM}U+XtcZi8;iL4(eSgZ zltD?sABe&B&q>=85x|2J7?MbOl~FetABNHv*teH6*tAG$8bJ&7t69hPOYXQgi+ei= zlB+YwdHsMvG<>6a#e98R7|y%9E<9of`OWh-co9s6bWacq`!(U`c-kEk;2ToSLMf~2 zFmaLS!0KByA=I8li{vB}irM8n#Tjq`kzk%z;Ga|1Tt zcF!YfRNoj%;pl!vcP6{~+z4A9L4I~HmOC#o3&1t+QgX=S2-Jv6yJy&1ZO0TDo{UsQ z(EcP=e5RX3$$4}B+VMLcMCVCq&c6w@UV=vtY%>z zrM*+8rJ8%I^_!)XwU=ua;Q%vseND~FjbA3DIdJu73^+HCk3CD~2%Ii|L-|Mj#$a&f z@D9-%6Eyi&)#$;4!i7rnb}@#}{|dRn>x8h|?&kfy-ZcS~wC%+&8*fKq_s~<*Ecs7B%@6T^lEy=5?&lrBNX_@+v9Ktfs zpKG_rvJIo`Z9_5N{A0vNBIhJfG`z*kw~=j(=?V4GHMRLjj24kMPCuA&n9AU3=;9=t`AqRV5Qp1Ivx%*t723-5;a80p1t-#@m4c zg5OkN_X70t8<*j?XoGJzQPo-l@as#e^0G-d3|QMbvYiIVf!<9nT*qjHFcWWP0xT_3QzRU4@WMSL%eu?bHNOIaWO(ERaCrW~& zi@+oa8MittpuMkAZ!Rkc;hVE?@Ij+41Jg|Ao_GPFzylAS8(tN#W*#Sg^s;R`Mq8IRrr-8lpUrHal0k4z2F&ATI ziZVbfw8{#IKVFkx%8BVwtk^zxV1732jjicyKTsr6KCcbux&m0#Oxv$UdN7irCoFf^ zio1}4HbC5F)kc!k>KUeE$EQ`x{x~s=Yt2ptU1VP+pOc^OmUAjCWx9b*66sY3!dc~7 z2uPl9N4bva&!kwcnOs@i&uA=pQH4*@v^4MAq7(TlzQlW$SsCNxYejXK3qIjy={c-ZWeaPkroT{cF?ntJGf#07A z;$ujGux+U26fAsv;CB-~MAAU(iWKTE?AMFl^+4*oa5Pw;mi_Cblm7wqj@V4$9O>{O zOM|3 zqL;2g@;_hOmBw#;i8%bgRBZ@BP9Ir`Oifk^$OIaP$FQXf4#}-NrXht?s5Z zZ|Le~Cr}s;4I=<4X*mu0%n|socDqF1@&o)>HJW5&Mt0IXVwC<%Ik!lrP(|UYXXqL139ISzIR9~)qdtC z&`C_8Rd0o6HxS>ADwx~~Z@8W~qBZZ7Or*^(8Ghl^q=0t-MTy7^TCM&Uqtp~|?USLv zWyXfau%py47ct;H9x)bZ{PR5uzK0h&sagiYAWycAdfI5R-Xg0g0CW;#-^%ATA}VR> zCXM=`P+Ikr0dmQPKDl|s_vuLaBl%?IS+PI3@WBjx+#Pf!D#Qn-gyH|lIOH+^ zmB|tv{s};{Z^=$Pi*PKzp1#dz|I+cqmzUIX#8_YN=#(%8cp)a6F)^n_1?a`v-a7lq zh*IvsBj6PE#Ra?d7YU3a`NA#WSH~WIi(pCCQvdUD;dwH?usK*<@Z<@mSAvr7kS@Tqj~J92<^r*)C?{cL|KUPd z6W?13`!MH&E40b&e)u*)g3@=+xn;PAgbT#AYU>+0Ef(|2;c8+70k*G@#_-{YT+68a zx?(>(ud!6>uh83bHTf7bZ?^S25Wt6$14yi)JEdJ?ZX#v}p+ComcylPQGJzQ(LV=1o zm!2s2-x$^^Sy;^t39PKiT;Iu$6L^W}(Rv!kq3W|1-GyhQyAb(s@{I|m&Wxo0-#k-97ZP_D;( zbu>9P%n&)}#LeQ=2tqt!t{}?kKyuOHz797thmNgpho=Clzoy_#?$K3?B;PE(ecESx z5y4tSjlOy785FgljnDl2MdY15;%J~JJ=HH`NldsRl@;bw-f_>h6jFJAR#awxF4e+fK6XiDcISM* z!K{@x!Vam{q)W@+mwT%MZBmmTV zU#47ER9p=hh}Be3ON8fPye>QPf;NjRV$kQkW;c!f=feF zf?wZdFm4@V#O1TT9I2@%J>2^(jb+rA<_L&v-wwelFD+$K>v1*f&$PTdoVpKobG=8V zru_=<4cBF!u*G+YbD7YS)53Ak5`J8m6hdE1G67aZ>0s8nf&C^Mn~xPTa9o@{8X_Gnn@qg*e7-O$S{jY)HlOG5bHC zzyf^5rr~$D|9XG25bzZ}Z}Bf_KYdvCf)l`$u9)*b6~0Ns{NSsOT&a*kyq1OU9RTNt z`*HWgD7}9D!W5n z$d4UZ=gRcw>w&{rZ~3)PxVT%$rDg*4lWV?)?t*XdKP=w97B3r7CZsFpr*~-#1NxPa%6FC~m0$ zH^XE{RO*7g@z<64H;vS_dTs@~L7RN5brqUci>ImTH$>SGVIZa=)sRd2Jj10Qyf>!$;( zXI2p_FuJ=0*bU#czRy9y$9TERu%4PkvpXR)bo*RW_aPBr^qth9cTWlf!vE)#eh*b> z%c1VM*99~a0cdKsI3`g>F`Pq-4VnsuWig=u&GMqYvVPM=KKWAWdFexid^`IAHXXUdQtjmgromdI2gH$*2ue+z9J0cS@JeX z6Hr<1QtDaZ8R+QH$C#f-kgb_RfYMM|$shNwUSH$XoquvibdBP@N1kqld|10XwoIr` ze$y(6#h+kHRfQAkKM3Q^v;Wl+ktDuH?nU6^UOgzUx~hJ zC$+N;A)p^HV%@UVA>c{aL{ao8@eODl{_%;9S2Bi$MhxJ@+aYIlen+AZ^DIA~^q5m1 zU4U!p=t{4pSQQWX!>|ZxaIk}e!@PCWJI&m5;RSeSvKIUhUdc_hB6#yl8mjXOn3VaA zWxGDyhdDvoyu*|y;p<+GK%FMX$<_k)Wqx3me!+m8nZewxU9mRHSLxGyY}b~pCjG&` z_fFu;IoA;#E`-8OOhGPiA<`29$A8+e@4ik*sC^A@V?!nf;NI9GKO)>DBNiEV+jnKc zm*(%iG0#zSAUk|y|6+PD_Mv(7$ctz$w4JFwcY3>w@Y7<5n%YgB5QdgzL&%VB6#L8l zj$w-y{w#VbZz)1)-l}cz9v_GUE(|%zV~h)jL^5L-BD>JJ1y%)+bOxh%*(d~@GK;|L z;L+;v?emAnu~3-C-r^5a9!_PG(%h7Gp%N!NlkmJHGNAs(_IpUu1S%3wD58)}tA-zr zj@H}u#vP_`7sFTxMi5y!0E1K$Dh1|##l$Gm@0m6B#BXLdhHU0H{(`>tyMta|{PaXM zsSvNIPJMK4URrz9@~<`F9ifAxBVvLtI{@(UrohhxSo6*p`PS^0nLw51?3Tztx`DsM zC7%0I0mo%%Pg?h+Mt^-s^`Q~G5~wnZ#cGrk4SJ+mkQ;ZIeLJ3e$P&N~Y#drY{@|0^ zZpUI6;$g|i&;_D}{eC|}gt@VVYct|1syW_8Ry{-(Arvpu{%aidnGm>!dBkMKdQMFo zUG0(>4x>ny)_#W|T0ycRH@xL`F7ME&F%S%x0HxkvK#ue_#$7Uz>*dVx+|?!k5R%U? z>rRV*^tc^52ho$hu+nNdhFiSUu6yyMrnT~Y=b9To@s?vGKj^*OAgw5@N$a3}K$A-9 zQ4e_YFNr4-T=|n~dZ-e);qQyQQwz1KHFawdCwm%C^()M{InFma)@Ut{~liJwBgipg%+QLO(V;#6Xgosz%qDm9S z{82Gzb&=gYir80v^!IH@MWu;{IefYHBtfFb8!0nX1IL4rN;RBt3=mtF!?X4c{KzBb z&x4x!WC=T#XT<*cmvB%i<-bqrK0H6>LENN*^ z_hme;2hx^ted%aJVA?k`Fi`l9S9>0*6FqjDfxIeBJwr8<5vS8$qgs*8V)%Az0E$QW zI=ATj3%p(|C+JjJZ3wY?$|Cvx(B*q4Dr#wtSja`Iw|{}}b?1)MXuxri6faAxYz9*!uruDnm0lmmC4`g=w?o9T)3L-7FLD_fsB>&jw1Z8x<4M-VW zf>^e7mGmJ?+0^2@qQ1O`U%JTduvB95m2=ZI1TD^_(d--BRaVS4IWSnlnWrk1g7|DS z-3dIc1#Vr2VeE_Ww0mIlTY2t5a6{p^Ic zKICiRktaWWADP6nRcSmfF33M9&-eZFue3hdNHLgbJLVlE`wACTxiscoi$_^Q(9|o| zyzLIEAt95dKG0gq;DF0CC2Y@kLl%S(!o~{=zm;~7e%Dd_|6Kq?Bqm?BH7V94PjzAs z>b|z-kiM#h4z0i&*1a-EIN{&-ig)He8Ki(T(HzVMhixgfp_l;FxLrBIRVpM7gaEKS zBp=Oi`k9sw6HmXXNP}4zSg4FH&pL~d&1qd^PK)i|#dDv47=1lZ;TEyq^_1c^UVhXR zc|`WxGU)yJR|bEN&+4=*(1h&<6lH(&U9)x@#(-uY?1!r_P8B8Gq*VudKb9lAZg+YO zm*I5?iBO#N^eq#4fL{pd-i3t6Fhl?_Uc)E&+uLr8YWZBnQ;(B6fIa$PE zqrv7LVJQHKfgW>Pi~h)My0G%eR6vPRktin!pj+sw%T8(x+s;j%9%$LdA_AOcr*>G5saN1T zg(2YS68S9lVlFk3OV^DeXa^T?OvDz``rZ0He3h$t>&>G@@E>K-9c4V0od3AB7s9Er zolEh#-OHu%<+fWDh#5{nTrv1RpWe<-1QLz1>XRlc4P; z*7Fp%8Of(n-WhmCTc8{AxVBh`EcQ&1BNV=tfQU@sG+v|-Q||2|$<$XG2Vc}&$L-gG zC%Au!?7BLuQ@s)G>O{J7r_{>c9k}`+;)Qq60-*ip!E^y9)QCEKKFOZ!BoszdlHD0O z?zPKto43PSk_;&Z1jHU0hLw9Ef~T0;p2vq5;P011lh{EOyFr`|w0<&Tk;-aW56>}1 zXo^1wWZjIvb?eI;rFE;iQ{?J`ZW*Kgs|272y9@jQKxF&fm{tyuaDvHZzUI8bfpGKi z+wxlZh3MTRzumXZ_m&6=-WNVLb4B4AvyTNc4s7X);7ahp@;jZVwtI$FY)=_SCtMcS zou@Jem5Y0P9eUA8RD={pERe@3%P0mpuGa*72*-z%e^|fePJ2`?YhQA1f-b*Ou{rK8 zs}_Tcz^HHcp7$OirUx=#?bice7b24w|6v?s05OzhI>)6C&FVS@j?3#&;#M{m~YVEAfWi@=!ITNF~sFcpIA*b9de-7kVM#L_cDP!YqUa_`K&aygNiL? zLnGo!S2&Xpj@|69{^*~l=bn%`M`PwToI1zlXy*Wl2-=FztdGQjr1gRixbG+VXGSwb zeQ8>9IWD(;oK;&-O88uV)v;KJ&5VQmzP@U@IBfRdJ-M!0qEd2w1t4&rM_Nyw4_wXe z-zYX@foA^3(KH^a|CAaBznHm+jTQ&jvD?=_>71KXSqDz8)IYYc)asl{Qv{X?@AvO6A=h3tUeVrTaZl4*TR9+eG(Ir7iZRyqcXInpM(Vx0tn>0E?P0Bn%4#-$9 zg$X(=;&QYp*Ia^TS}Kz0qVbP~1lQ18Tu+t0^*)}a<4*%sN9tC~Q*vKs*UNLqlkyO- zYiZ6Itozk00z&LZf$!dgd?_6|ku^0sLWOrjKtD(k5?s*kS&d!@R$r+@~!=PKowo45MlAX zO(Kk*@yAWu*s*eKuw4SRn9fX1wf$TJ_MZlU=P5LKPmQo?|Cd%P(hjIXhFsNZ11VHN zGHSjUbp6c!5QbF8@RY$X!xyS_p4s?~92E)t0t8h(LqhJCq_sYFeQ-&&vEK5{k%K7Tfy+X4ZN+2ba;}(8QTMG` z=g*J5FCyP51e3z#Xe z!eI_h_)zk4XE2t6UB#+|>xI55(SE~m`7xpKYmLOcOjF~A1|YF!IU{Mm^v9qpThGro z4%hJ+AxhfYZYmWDkG7x17g;7i3aduvaYc60D9iI= z>*lj$%7tsZo>a8>L{Z6#?gj_Jl>@3F(Ehyj(yCAOA$4kmNUKB~Jbn4%zg_g=Oa4PF z7gRnYQ|hYbX3K{jk63%~_3bFf|JkM%tn1{Ix*j43d;1{@i{8=;Z-%nMt8n zR+@mtN$+0;qIl86+42k%>z^|TDb0i3819c*aZn)1jZ%Ul$c4bE93qHus-5&Ft{6NK zxq|FS9m5JEi|LP=I{WliNk$5e(-Lr8;Q<}*C0Oy|Qmtnhj21(ZTWk{~?Ml8$gyMd# zup}SFa>Dgeb&s%2IB1DTNCv1-)vvo0b+;zR&L^VS0k*ZHp~@0Y32TRLv=Zp=_@UP( zLHHnl8#0%MSdbCqv(j^JWbT~enfPwWWxi1CcK+<5kJx7yd|O@3Dn=< zdN>0pEX&jEC4&#)=@dq2-6!FlE-Kgnd3CaGm?KD9_v4qxBWKtmLz31N9H$a=oEt=- ztcULGtImyR44v=&4qOe#CIEu2=87Xkwu-COoAH|}E_v_%^@?W)LMj*R#kl!k*!dqr zIz)c)Hmbqe;w1N@Xn}rL^}tIB8`G26%+A|^3r|a%NwwdP#&x4s{~D}`o+PRmkBFen zS&PaLjcSo4s3(orFAh!bufy)he~?i0U?r;o2+Ar(JT3*DDEwd6X$K@nas>qiRZgN0 zWM5eTMDEp4MsJdY4;-sDl~zI!eF3mPwP!LLciY>me1~;`5_<} z7`e(s>=Vhw1f~>Py;3X4vD>qeFs6TV1UPaMkMxn(eCsy+XNn=;@izZvnva6ljy#TP zQ8E#1oSHrtJm?qt17r5j3Nnz2uLyUeU!1~bur{*~_M`+0KBu)Fz%&Xwyo`#b$}2IlDzLt*IDmj9@Mv zSes{~H7s@*&R~4f)A!1rlGNJu4{(Wk;T>1ut&qW@bNXDKH@KJGVN)Zb zNCVG=;!3^{9&2+;o}k>6c!^u(9|x(14DLiILN4G>9nohFal8^z8!dFr30lEbUs~h0 z{qNyWZWPc;&>jk$8A%U%-b=7fJSGg--k(2itnfTpkJ6Mlc{lKzf{AqlFK%99R#S=NbNJ z`o@fNZA#5Kq_SuKeO@LYg4(eAa7x3dln4W2tBUU=as9fmmnHaZ-)B;I%b#ESrLv-8 zN9e#D1V3r{8tzdSThE|=@iV}_<$Vex4D9dZa(S<$eZ=Om4PW+xnZ>7QC!EHsxgznm zIxe=**bdM#n*;8Xmh|S~Hrr9nn&(eJJPEbWctz8pc``)$3?kcf1yBWAn(vxoKt>gP z6ltBat!(r~Xjcj6y8hS&?&~~T;AcAo1fU!<5-kZNgFrdX-U7`l@h==K;CV5DvK5v?qNFQ^^lx8e3Xb>c=~Jn zR1!fmknut&iowFs(lv0hSizqg8;EtqhH)g_bTQvkHrYGw&jBFLf{Zv0Xx`n#XA*ul zN|bWag^)HR^+##GvfL@`XG9EVh(g7-Dn}a27NC(tm}LpJz`1`OB$sO}5470JW4BMC z$ep#8{CH0mW*lu|&bw}LeMGAkW(O2jrMLOIP@}>YX@@&~{ia{J=&<{;W8p-Z*X-!t zB-gvhw!7&umG(VXB6T^k@la!1C_<4-bkH9PYs21La*g6IyI#txjGB5|ebZlmZGJ`q z)sKcf|CpKxP3lV=wENXb^F{h~RnCiKzc@5$tqiPmwVC>7wM92&^m3pVmYC=H)O$3~By~!5 z1DBwkVTn}^1}Nue@aa}<@I0PnYr$1kPIUXWA)9U)xn&VK=NYH-Jp=wR?u4a7>SY3?AJjawzkk?oH6$=|cd{xR^q4a{fz*p3K zgURes88fMUvpHKjgZmXz?V2BVyq|&K@2gkxY?VVJ#&2U(Drnq^s{M{$CZAuh350|p z?8bQTjW)MCV(hV;BwUI8f$i~u37~H*20lS_s)KJx^>Gz2fV^#X>cC!QwU#*fLGANb}v-n^|G_pHe^q&UCD-i4*&evF;%+XE6L@EP_HLH zC+4XxrumHLyA$!DUQ1KuDELKY496J87ZRRW6}%%Aww(q*-);!GHr`u`8te*@4>(w! zgV+BWntmsy_8r0x!)1ZLvNh9&+J$JTAE6f29_6z70 zeL^4{6V8=h|kI{g1gh zAZbOLw$I8dj`EMBjN%xkC>5>qaAuB@3bxVL9fQQ6jZ(a8bJ2OcCMa%9IYJ!n{wd8& zN^0uO_|5*9I{A!icIX%W*+<9qwj?RYypj`P&Kf zwd~rWf~#SH@Hl}FB@>{ml%R*3soLMtdoq7W7=e3DYUYVAj;86}(XmpGc7aa?etkGg z$9-P8o!$%APWFlAcUtvCV|K`~aA%rL?fmJ#aOIJ~I!kGpr}=u7uAcK(+pPC}9ieud zn`wN&&fCMvHt5BGrp%|C+XWkC{X)1O_J{Wj^Wv<&q07%eSZlUWYU=ag7W zdHJcRc#p)KKmvjv>!yY+945s*ZPQy|t?<7lX$2bhJ`?;;(8rIA?yw?93rC_wH}XgD zHKWE}+gnrdyXh(B99Jan#|y6b2`_Mj_c24c)Q(k`#WDC) z4%&Yl5>E_lfexq9pAR3gf7Meay(xGvt&nl*=O_uN!<=*W&gkp_n* zu~ng;JQ(WIN#>}ply7_6&0A&qnLI21l>Nm*7OuNryYa@O5_PQn{TNi_vZnKrKxuIC3j`@~pB3x)=Z9iHi(xgz z{ZKtdFN^kr!)$vvUYTBfT7lY8rP;9dS;j>UdW`-Yo=C2zfvu%^6V{VTPq)Xoc+6XT zQX_u#i?}A!gLIm*6C^a&pOnd3iffnoo4f?7lQNt&z+Ztv`KGjji{M6QotK~%5*gpc z_R((FJsj6ab^yU^UZ$0Sj~QDh7VLA#j!ygU?%g$-L$ndh6(pXvmZE>BJ32ov@Z+dS zn!~IrXn5L4GPV*GD$3#GN9wRzb2vffervB8~=xL>D zEO0X!>6s}>&?THOe9eobNxD)(uj~VPSbm@VT}(avX35ZOP8xcHTfejDy_sjAHm%)f zT`Y-U!@k0RfC`*&NBBQAA)q}3 zi(jdi$xG&$7b{c1P>GO1Ed=WPBzUo9j&?4lhqzbAdY`%n5veR`n?5|ZeJQ`d9}#x7 z>)KBMEY{QUe?2f8^(@nS8}C(r3tXxX_Kd=M$7K)3E(&<#R=y|ED-oU>#ML`s6w7Ma znQ|j>is)YeB-WJ42S7zPCSoY?EzCrazqtMLzov)Ve7wvG`zLVi%z(@WUwLiPxpLu0 z$KBx!T^fSqE>k;jPbtPcY#@Uiap~dtW)C^axeU>tiYP)j>x98WAL~WHl7)X1_Rltd zffslyQB~oIQiFK8?jdFjyW^DJHoCM*m*RMi_n;xc;ytG-(oK3L{cg5yX`_A60$bN- z(*4RCj+>35cO~m1-VEc7n}Is4A1u% zQ_yqWcPo+}f7+VQJfnz!ddzLVN>YmN<7Nvlh1%l%?Xm7(B2L$<&Fd~F2Dl_C_Q@m_ z^&OBk$U+Q&(-V{q@Fn4QGOD29dlx`wZh}gJOMfag%)CD}Uku~E_F%Y2uXJ52*T?WF z+oj`QV^s)KQ^!p;RW176Y_B0v#YtVKeyXE?rB&_aRfk<}0 zFVQO^lPeu+Pb>ZOz7_c?Z&8Cwfe6At-GSs>WF_=Kf}Y|2y3M{Fks(stK&HQM z;2VEjP0qw@$1ZedI$BzA@6#|FMYpY1_~dQ%VJ@^r%t@=`B}vPEHM^^k&Nb@iuY=yq zT$Cd&BjEQKX)y9PF>P4h1-@ANJl{kx^USa}znq#IO#c z63~ZH0^Jb-Lf>KZ_8I7Ud_gUsx>q(2Fc>eJt$Is*=n%htiVl@2ezr`;nJngvsNF$ZAkfvSvv6>}0S)m2& z6Y)rR;UX0A(iI^98MEAWq46OtgfoxcizFiKy5KKFw^C4j` zaz`S=E@74_<=WZ)$JC;fwTp+NsR^W2y5gC)=Y=r`r5__O7Tk{|HBD;pHMjEs*Az=C za$AGi;ir`#kf@#O*;W88QQnrnbIzq-tt-I;-O(XT z1wxCg&Go#~`}@%_k9Yx-h94-3+c}6Mew~pi-GN#Tk`AKTxHoVP}_+9;A6TL9F*sY-v7c1OXJUYe`a|4)r z(3xk!%9Hmj0`=9ru-hwzjyx6_qGb+vo zzFsm@a&zznq>UwC#rktiPEq=BS_7^9d#?!#w$^<6i9sB#>r@}|!=o152~31dpC=4q zrmk%ZR5P6|TD#Kz;sb(quFC)w;%MBU)5+4uTHQmxO?f;nTOUPOOBgi>ulTAEzvoEc z`BQEEXt8$-c+Y6nY&uNDjbNYhH$en)oPNeR;%}G;{Us)ibTVt~DXK(xKMW0ira*Y> znCf*l?k;wwB)))}>{WP~%QmGplEDD;aQPAA9I(&-KF0oz0XFz}GIg!mrlq4b)7uj% zbo+qng{e;$-3z#KpqOn9-FBLjj*$&p_yiSwNXX$!M<#w={)O5hBxX*V)3QVJF+szfdUDrlQRzUJW{p=LEm8f{feM&feyeO?a(I2wxhd9}) zyyf|9{M`chbsO#d&*={07!lQz+aUnER6|$SFI8hVi1u7oxxqKK9XFO8tvu1ZEx~Jv zY&r`QcC(J;zy3j%f!HuExNoz%Vy}F!e8%2eH+$pph{(0xokPw%=wrgIi|{iKv`3%G zzvjoD&h%*OKHC8R<_}M#wkmgLr-8sbzW8vmn`e6NudZ=1 zmH*uIW4B-ImdpJ+IE02tXVM5w;n%pt+eW!I;47P}mJnyA`~MnY8Ss{x zL04w7yO|rK-VQs02K`(zoZoRXQ`4X_d*~MX`i_cU_wMWbII-OnIh zGLtI4Yf}K;8Xv=LV7;PCEscj*?k>me6FS?s2KXJ`Z9j|0EhJe}<)H?!_DyS|C~m)U zbJgq>$?mREI)+yK-SmM_y=Yk5eZJ<$m1?)mu67h9p>;IuXFMJ+v(4OJ)S7Ni^L>Xl zoHJO|WHCE~v|d?aQ3;+yyjrGm^PkQKaVt7L2vWoGefEtX^{?eIBMN{l|3J&DfY0yn z6%RwDn_+Wpu#0M_?`69WkpJZzNkDfsk6@G7(rF)FTYPcp@Hgr{u=qh6^tdHXbj9lA z=Sg*i$u4`Wl_0$Yoo{epeEHM*xZHz~=DJENEH9(r7Zzw!k4n?wrkv8Neuo=AV)zFP znLRqx*?ITuZIy(?lMCUrJvtD{4SMr-JDeYp)N*(6SH9M^0i@~-?razT%uGk}XIzk$ zvxKD}Q%b0%cRdy^(ohPcnps`OX7Y3JDVgDQCZSUEcRu8=Lyr!*V~JjNy_fL|n7_QZ z$iwYFJsmgFq*=v%I)tBPzdtq z3^dE8-h~Hfy&)q9uO+W{S)^39D;(?P8n0RKf5@l)(b3uhhC7M{xtbw&Su?qs@$6RI zSYUo)BEX;=CZk7SqQJSoWwlAo^&}pew8_73Q-3{v5vJy(9!sHDti+M&aU zE(aQRB++4P8_I!u)e-KEa6HbwW(?7RQL^l{5#c-2U7sR&zC587!v!y*7j8vK_=!z9 z(lS2cP~Jd`cX2nK%6>AOZu(mRi z&deE#NH0g~V0M`4ul_7Hst7e-Fw!f=q0T5D))`Vcm?6su-J+n1{QB}wiTHgWb}e{d zzUwfst#vyI#E`J+k|6&` zGi(2n5+GTD+slb>-Me&mCJW@{m8_wd(*V?V$?gN-n`W(aQm8S))ASeMYx~74F!| z{H1DU@nzQrbcO;gt}Hk{YSF@lp>ry0phdw{eD6BsDz)GP8(}t_Va!W4N z6b=K0k4dZVoy|*Ia6PG1TQRjSxE_cuj#spSMZ^&r%!f9SqVCKJBpB5HT&H~5+!T0w%rBps;Kv?;p7EA>CA6c zew^ISCCd9vPCze@cD_9iCpQf}8o1;q)ni0BzX&#ce9&;liwJkZig>;28%-IV#|VRz zziqpTnr^#zqSlSQ0*?O_4(;+aq3;ti&GHojMMI z8`OG&r$9tX5%_oNveTT#i*(g%&B>bPBXE??r2e>(oZq9@da9#2tT=bhMHbRA!6mLV z1h4IKxz(AEpbjMCG;7JJ`%tj8ZTgN7k|A0GefUsyk-gHe$6Pzp)RGXgLBdQe9d$U9 zoxcbbzj$-D`fFhn`W$`%d90r8r89i)`^rq+@>J>nnMbz72|-Eqdhr3)w|Oh48>Zbylg!q) zPx=0IDyEhI+3h~)3c59{?}sxPwsnna@*YBdsL8*4L~)gqmyXh3ds7_xT5aw>d}|59 zVaTS8lt|lW+_ZW#2&mFPbJ&1IKle1XdM#mJK^XX@_vjzD^-&+MAJbtGiWp44g{>IY z3XrA{u43M}JC~4R%kZWN6+s?_6?FUQWR5-U$GT9xaDQ$I-UOYCuX+Hveliy&g?21# zXKpKA^Pp&UPH(EPCwb+fS`&%|#zMmvLtQ^-BX#O1Zb? z>@ZYi4QmEZCWPkyTfKiVZp!o~8Jdo+6KLXH@}p6ywB7wpF=TaQwr@rJmRIF<&=7~A z8EF|{_lWBpZhjy+Z&n~Dnli$yt9}w}47Q*>N&X$9amIq4`7avr@bLXt@4C#|>BZkU z_Cn&4eK)cpNc+YfdlHOqaM7bNG(&|qe2PQOwr*OPk#EVSGb&VeLBr3BlkRk}V zC_TS?Wp3ALzHQMw?GLQplny@6e} zWImg~GaKg@%ms_I3=1rv{_zo-C#K?o@nW+T)+7G)`<5m){Gjzy4URLEt zx{n7B24fpXvq$P*BhyHrh@kkx@!=M><*nPJaQ`K9pHREUPtdUDXsrcv9O;V6AWa#f z{>55r8NAOXni=8reYMEs9as2PL-I%rclWyy*e4lgZ12~yT+WD&6&Heo8D@vHJ(rp1 z>RO?Ls>bP}J)ifGJ8mg%xO@(tL#IvO#q`=4#Om7K`6R_KtySj~T@9lUrF%v^WUVIo z41`J^%*h`w*gMl^-l|7aZ(rXa;Ha-?V2ekJ@VQ6sWJ{a^1VlbUUz()X79AOBo8jV) zk}oxVUfE>P_$CnuH$Q#*k(P;5^ToqaMA(yxUi2>2Fel7qvc-}Yc?cD&V_t=kxt+E1 z{XETv=Yj^P$n9hNQL&*9hZm6A8-*-}ypBwum}i*m)*f~)U%Yh_+a!5D8hbMYqy?zM zv-fJ}dzl?#G&2&UjuIXx*6Gnd3#!Y3{0i3mG>QaEHm&&?1+c`#EO zrAH)5!Z(Z$1BuoDS6}5{jz#IZ_zuKG23r+c#^$)lX#dmA;n=4+p3&K8X~W^@gJEg& z^XZr|;f?Xi_B_UZ*TnbbBo!2`Pj`}9> z-j$@g_YRLvlj9yvlJf)${;-7g6u54%(<_^rMG{2u3WqBo!pAQ!KgetRClu4*nYT-{ z`+Iz{H+Xyls{F3Et_aU@8hHza3Q+9A_Y?S>@!AQ;&7e3og6xqXN9?`&5VYWkm)?!K zm1Rdd#0Y0`?yS$S3HXkg>#nFI*K1t`#L?G&H+>_@WeKNd2BU4rAYG(g0JO4&G#teu z*ZmLN#`9}UL#^6j&R^saUXjFQ#rJ^ThTQBh!du&Z2XKi~goI?JdixULOLcc*lB zcMl;cEee8^G)N;2LkLKNlF}_mr{vJxAl=;^15AALylZ`b=hw_ybM`uC?|om_7o%lF zU)8r~8J8_@D0Uo!(o~-FNJoV{1S3?vsfCINLa~mVoJvG_@*RCC4hxT}z>4J!b-)g0 zr>fjfj2gWSH>$P;QDd$Ul;z@Y!zjcWs1R8oVy3kKj|QE40(!kZ9EgXm$&pbCgI z?yl>%?4a9<0fU$2Q)JZvye&wKaCPvl;7R=^KP_xb+N*3~mEhlvA;9)l^i2cIi_m}qC|mvNxPJpql>U>u#2sOW^32ex9I5xkJv#GyU)6Yk?e?b$z+2{-*; z2&x!+iPZSi!6B(hDk-jn(hEje54CHTUPJ43`^B~Z90B9VnFPQCG4jf&%W?(IYsxhB zSTr_a0RyDPT7C!1c8yxC{4g;zXSDf8&kZCiDIH=&VZZsXh9>-6>l__8zTaqa(yH~* zVKv3BB&aT^@b@YyJmv#)c>KUCMp>8$PXx7% zulvT20hr1 zLSdOb#J|#}#YF;NTsaSorZ53()-Kd@8$tTH&`eOi_&eSh?hyJFMONNvA9m_^6RecU$h+HjJW6Y@P6G665S|SaXPLvGNvbQmWL=HQtc; z6}~5NnWW8pp)>c*t#t7=>M*lK@)FjsMLBYe;H!Sp@Yh{2ke)nCMe}V=O1Oj~_?a_r zx-v0sW<>Q|o_56$(|Xt(ZJ45Kz1c_9G0;+(-%5FYhd5M>UDX%@iSI(w;thd_!5Q8D$?SolT8ZqgM= zUnQmU$TKQvw9kOzaeQr>(JHsi`96?-LA2$Kaw`dnWjy)1G$xo^LJIGbUWxb>=Z#+V zTN=7$ieyt=76aq6(Y^x_46^?Q^k8dZ))d39qEj$%jmZt!zbbI#sI=?(lG=G;VtMc` zdKIwYYO}U3%?GC=exd6gmtHTBtLYf7(DP`*j|w4(s9j({slWTT#?#fsapDX3EO84 zjkm}7;chO0UOieUS1(v%L0s#>7GN!tcXKyL6E)+78i~&oj9gG|-qS0=12OkPPWTC=?bsvvrloGz;uaxq<$?9di z5JRIE$%n5PBQiXwqdjTu^M5+LHcm~RY_j?jUe`7ZEB%1J^rUfIMoR;pOlHYjP>GFo z*2oxDH9OKIA!1r;TZ^zV3NCGlZHjuQTejD+jH-$_mMwq~$V8Yca{PdNIxXC9n;Rkm zTLoRnQh^Y_c--T%gEc=IL zuR+3-9V(*-@58c3mqxnp?#<+h6+C@HfogagMZU|I;IEk<$k25!o*XNkA*Ce?k+qD{ ze+scWX;Acd^FjK7oh8o3%tlpVuYUhkv*jspT|wyu5X~hc2tOE1i!tA1)t66Ipb*16 zL*-x;oXiWnvKkMZRcA*#X|b?FP<%q+n{b#9$#`GdaK=X+s(NCbqs_rBE+G%qVcAuD zpr#Ze<3inuC9Qb8YX_2`-c0W_|pr{v%~{$nUY-uk{Zn{ za@u=V5VvKb@P?}-kvS^(RPO>W)`Fi4X71-xE^!V$%MbRt8kRGdER$fA57fWk$}Ji^ z{}=0hW}*cT*fnXaZk|*l;Z&ezS4)O(GY5>dBVc329}yZc#F8ifHf?R5-#zs&uO;t7 z?yZyAx*w4jYZ3oN&U?yJUcn!A;Dw&a`Q|XKQh5p!dx-|JUQ~^W zq!(cu6^kO|BlY;&l`vRzHjdP-ItL!S5fX$ZWh8952=$b*xUBWd6bQo!i57XY_}(lev)zC6J(>} z!NF{6&6^fnr)ya!Y5XBKzp7w;&G2srMeX77iiRujczhkUVRB&UW9H7>gIf=dX4aD> zbD!%)Nc49rutXT(0C07)cYF-KY9w&lRCC$`@|Bb7{N*1Hu5 z+w)Mdmab={u$kZna`ik5VyrsQq8hIYzeD{Nm-VpPOUcA$%aMmeNzb>vm#wH?sCwgy z9HcJ_h(<2S*O}+mO?f5_pdab1ZQo-PCWJwr2pJ6m(5W?BoLYgf#u5nS<40Xp><> zJBvb!`Qqj4YG|(&bLgt zwa-aU4T-Y`zc7T;Rr2-FRP^3h05~ z%Y!yD|7pK@|L}zciS8#O=}*{ovQ!g{j7!}&Ya3*I$5bNaYiYZ=}U z`Ypa;QDq+xpHVzT9KKsWoq`T35zTXwd!E8@E!abYue{xsGXLZ1zV_1;bwEnX&wIoi zP{tg#jwRU2{F)jpp&L06LBDVAgq)kW{X)Fqu6tk)rn~$CWw=#jjT?E$j70}X$Z!1- zV${*Q0$J{ox8)>K1Yg`oc=aZ)&bh4mh&>Bo6FrgKpU>n@=GNkv-n95ci?fV#z;hfc z%7J-~1&^HG=+>?gjR*+I!sqAXQ0VW%)Qdn|YRQxwvhDwJ#^0yPpbZe+*)Y_nE{FN5 zjPRc8NE0U%6S(xP&W2E#&H(yu3MJnuWf}X@wzMF}r+5QP&?kP8+P;dNMdKAV4ngTT zNh{|_4DiVs?(nN}Lw7|na6}n$AISaKP_c%%3evJ1jCu>Dkn7CJ3D#P7{Hsr7y$uTW z$?}PMo`B$qr^1DD0sJ*dIp|~z#bv!1bRnDIW$MPOSd!m;a)45NW}srp64Ls-Xp;Af z>Cj9?`X#ABzTkV9&AF5wA{zHS<{R3AT`NubSxB`j$*3XIBlK$KNxLVM)!A z8Po}Nc;?>aA`A&*$bE=7{|o-YrDEP^h$tBPS@V?R_x(4;6#rr7`FBr7C=%GYUN`Dq z2!oqTHIQ^`3W&hFvzpo zj5z+Uf$?CQ#+Zh~Qmv)e{XfIG;bdkjrbXv~V|{UUj7u`IKjhpI&4c zgd+)P1{zO~Vehg<5@aKFeemddwW;7fmOuJB5D^XxJ*ntV7y30qf)@8b&^T{CVnBFC zX1j>5^jpe;X#K3;Z4cEYVv+;-<&4WY!vky(>G~1L-;f%uMM+4Q+#Jx z0bJ^bnQGMTZw4%+rA){pe}D=pzPI9&s=ld%3uJ1g0D#cTIc@3q(lvmx+#u*Kc zzb}twreEm4-!KIHdP?MoWa$+o=(9^e+;GG<709Xr9!Sd>sG%|Di=dWQcOFnt5%u}9 zk%3Y(FS#jISod}&#N*O%mD!O@KNVH*Q|;W=&ID$szoVG!7{{^O@gPlcPkf&g3!lHK z;mvb^e;W8$y5vU;4Z|t)MxOmO_klfaue6J83V;Z0VL^h&=m*DD>A$8lu%_nc|33?$ z7AbbTwicmzIaPPb?$TX9h-hyQoXH}rytF9$>RP}=%2w4rXUwCNb~0B z>&KIS-1>6VC=|{y+Upa3^-w3Oy`~4l!P{D;DEu;~>S#|ou~3j8eWuk~vvILf>G*h4 z#|URA`UXp1gLPeTE)|aAXViA z-)Ms}>IINritmyt)}vnSOZqyAE{%l1a$iy-B&!p-)p+{JV0Y9iPOX+na`qOq)03A( z;bj5JR~dmr22PK|RyRsIeJ(VH=(}j|k5*Ln_U|a390a6^U@1QI9jD8!uMvB}a)CUY zZze5!d!Wa^XM&c0&37cQgu-~EtV zzFnTG#%X%U`%tpKA-m)7*w?wELuX<${PK2%aE%kXfFEBM6JH?0I+~(xX&v>6s*f

    !=vRg zUPbEagD*u+*bSP7Ebs2`;mljYqj^4-=A!2=D;*H06ET=f!OUnw2XkKbbOE*V$IkJB zabEaC0IdqEjJJZ3*JEZN%MEdt@HrAn-LB3|({{~JV$D`j{L8QAu-}d?;r9FUBlERH z)C<1*=5Y)?#F%Q^prkv38{+UdKRS&TB>3}n|kmXn2{a8h(M&LZ~=5RSN`)4 zpr1EW2VD`RJCmU;^OAcq2)hkVdb)1)qihbp!@Y}Q?c`AS5QaeisEStx`07N zOwaW?3J+)ydm7ImcR1ZWQ!1p~6*eVZM_ZY#ek z(#q^{#=c5VPamnX`-p}2#Hy*jnsWPFCvRiE?W1pGp@I`O4e+PtGOdWQ{edH zD7WeyC0yslN6w!#;3-kNZGy_9VH!yHK;Pz}^>jN2A4E=7XvZ&X^*oH!)~0-wRRL>h z6i0*U6{(K+qL;p(+|A5`A(nx02SNW)0-=|ez$xdcg|!C*+b;nO>~TI76%{-5Q-8;D z-y0?U>2^oDT~0t#SpHEK&6+P9p@C{(&LU+fB#3ufzexEea}Tw@H)alN_?TV7Q3z5N z(|x470xw zajZ9z86Uv(c9hM3z{7jh{LDav5%GOhX5tJ5Y!8Y$eZ}!;$mpCbHd+pY$1Ynpe@GFW z<^r2UM2}@ES7E#gbT!YfGa`8QOQ*4$RoRSxpry&z!%)Jbd6~yWEH6Gc)@?Nhk;l>x z5e<>eJG`y?2$A9whp?l59(7mb1A{@2wP5lWN7*0U^v!XzH}qmZNPQ8)=EDq#AGQ^Q zfO6?t$H}o2%lbOZC41Ipf?=diu|r}0TE!W?kL2A{>|#RO#jAvfn3kg(4XOSHB@_#0 zwAn4N;Mvp7B^f~SZeyJKrb6tk;);(-SCeWJnSz&I8 zfuDqIr*d~VGPGeie~jn8o3?AvW6ChNMsei=6h7nhZS0I$=iZ#`k|nccOh9;%&O z{(;4_I++`@*rBEj?2KI?&jRZlV2iXM{Gs`+u@Y^~M;dVevFPa4^lN%0SR03AI49em#6ubyTF z-m6*Hpl#6k^Q}7l6^iV($?;_YbQ9nVM6~4 zqWwTf9TLV2(wxYUGnM0G(LGv6Y$`Y)G&J*BK6-9kf9Bul0obp1(;I$Ab8CW`Sm$%K z2>)w7t^~iFJ4|Lv-o=_j!kU+DvzE%c^Suz+`WRYQi*Iu8ZN>_%J^e95>sqXNgs|RJ z0asDq2IyPYBem-D1ug)01OWDgK~JnTzMM;24TYFFiKRWRt0_|ec(&W#`!#3mzkD%b z1MBcx2e`|-N%|q~N z9?m2v#Cs_iLvht}Cz?Ix)~D-}?_?sDqU{sihF;6`kg)#U+WwUA&v+7K+_0Rf>9Vv< zTkg>LE)~dtOp<+sW*o?>bn&A^pTSU<+u#v)JC3EGt*e>DToS0xk+VmjwTAg6W zDk-!&z)h7mo8$EzkDIslJuTEnarAf=iB!6UQfCY0Kia-l7VmSr@7dQw2$tK~7e$v) z>O*0d4?gxY^~Oc?S3O=RsC?R8#BEm;?XwGkm3205=H72QUXJ<8({f&eTK*ebGsz3m zYy$Ktltfhk%?S^9!%pbUp}HumKbK;bC^NdNef~OjNI{H>|4K!2JoPtA@@KCzsFbxO zS${WFb1dc?_N_tZb(@bQ`e+0O1zdPLt^y@4yN9YZKbs&n!tH6QGNByKW_J;4So?F- z@J~SQA`7!{W?=9)+s1{uzl#WL_LjF9b&LD|2lTNXy8Bp2!cgje7!p~hX8KS zavht644A^pW=ZW{7E_#cBwJ(=bTz)1YfVHd!UZ~7+!?=hlRdxKbj`bH%Zij@=OqpU z1Y9E7D}OyFs0nb;z`!vILHVpiYQSS(NT~&UA};cq>NnE060hro-0Gvo-S21K+?aii zMN<|b5}l%>=I}m4BV*2I`tEgn9(>xeu<>qE_HZpzQrK=XTblYJv-$BP;9SV*a=TSe z+b#FChN7qQ@jYL*0wJOIS;c$Do%GXbLnwcCvWih9CmI=RMFQfNNMCL955-d-eo~d* z_UrwA@A`aq%!`VwgjU==3gNzx(|cnkdneSokE5h zXjJi%1jRA@8_zF0*H>892Johbx0s)rsnzBKdr}1(OxV}Cq^TBL{{6FsbuK(7zB@Pq zN?md&B0t3Q&-{#FAUqmU2o2mSu5~vLgI=v|^m(qS7E=+2NrE*jJn}K*lsCrFX2_Q; zNI4T^AUdA6!h9!dL+UxZ7@fUkQNSybGX91_fvYAP_!9U`B6Z&0UaOtD>|)|wEco(JhLH#DAG{GbKYt6a{ZMC`2z#I8 zIAe2eZp|U71pi*T$L=-bhE~kf1_fLZtNwT<&>csyK>iZjAFGh&ucNajGs*`^nq~H) zl=eEM@4FdRzCaO!T?Z|<6E1$@?~i;k>)hV_Yb{rm;ZAVB0=FkD6LLIw{Ic1RME(gV zb_-H>!PudnTsXqLH}P@2znyxGYA~g@S(++*fx`xmKlOX;Ni4r@M&rbhtby;z_PpnT zn-#&eZYs^2Ll!z;It~b!;9s4NZx`tc&5C^SH?O8`RvG6VrrnGIk9eV0Ioiy}^atGc zn%dyrB@VuVKMW796%i?FCqp6>>Y+L`E+g^^b-^m}{#H}r`t`}62`C8oY)%Dmk>NG( z(v0n!#{2#LkKqhr*0^_>X5vzSLLie=-EpJQ%T@4;<*k}l(m!%__daWB;rDusqS~Ku z!e>ql$vWal<+egljvAC>g%qmVI64&XHP2iEu-}b=si~ZEDZoug7-=Vt=ZT5Cl5Q$(-wm z)beI%rHbJ;MZLJ$BJ)x;b{LSegpd#6i{7DWk^lZc^-m-Idhz?2L3p|(=I_f7A2H3E zcR?#BrP)|UFMN+O<4`OL9f6?0*X2Wm9K&028NCaD_Ln+SYZ!t?GdrFsY-5RXf<8Fj zevvlWi|z^^yP;5-{CA*54Q#qod3Etelem{3B;ykTf4oOqn-8nR7uz_m-FiY%aoDsLCv>;QX+-;gBr zQ_tgmLq3lOR-@o9@sokzXzlRb&ouJLHANQ$7SMKOyq3@c^VoQk;fD$-lXi9rEhOJW zP5f?*CJTF}c3uoF+wNTqlqR0q>kUoOuLEWk_Y} z5EhM`&nKfi#_Yidl1<)SUgV&`I(34^6^wiK0QdW7UcKTzg}m)vN%ghsu5=yDvi+f9 z7R|CJfFIBzI?7W*g-BRkQ`A7N1xO?8F+(hafH*AZkIuOCYRqoW>%XY@*cM=npvWM} z9GM-ZZf?6-dbw?yVeVQt`Zp^$a)&YBlisf>hh^_&<2by2Y}>fv2YL{HUEO^JB}|C{xJFSWbp^OMiIAK+vb$nkSpk=r~d3HWx)j&gqwbhD39ei*z-28(C-{m3{p z(`ynuD6o0}`12gKZkPh3evZmTVqUg(B%j_&xzEt32P-l0({gZpCK0xA+eQT=a$I?( zYkurwy(S5k*Ch+mO68I=@HJ1bqXMg=;-7=Fh{Y{_G7%Pn&;}fh??mM z4e~$ZxrdJbUZeLvV*Dj`uD+4FPrICn#=r4P(mx21dQBs90e_p+Q>9gwSP&zVESMgS zPta3XZB0;$t!Bjby`yIa><;OCCo(q9kNZ;ml|VZjbsT;PpZ#{d>u_9eqhF)j*%;Q8 zgqHz~4nJ^h-Ty!(`z+tK6T|IDCr~4TcF5hF&Gq4&q|vIZ$az%6AHnxKqIEHxF0~kL z=5FCsdh*n1KdX;DyL*2sHt>6>Zc)I0QBHuMQPXaTuCIIe*47YtVd`V&s#Tgq#UN~V ze{K%8CGzIEhagzq=f+5rI6cD5>qpPsty{P3HHi0a?N)}I+LI&4cgLu0n;)p|#bc}M ze-&lHlTfMBQ{Du0ztUxmL(pE6as!EXGkr>+9~*s>10P88{?(r&#No7B(s=vtA4RpK z_D4!bIE!aqj`r%2`^N#`+t|jfeDNDvx+VgD^=LUZTxO z4r4~K^qldQ7D6q{Z-FL`!3q&adN`1VU&y@2$~LD0P2{h8uwVTz3bCs~bRL(#sT7&? zx_!zAa!_vd1Y9TgA7U`$D@xKRTH&J2n~V0#nIEhfQO*a~H@Yi+zb6Mug$Vvcy0$fM z$Dy|CB2qVafLN>2{O7UTrnFbyixbtb(*nIOymKrU)|_t3K@<~JsuDh=`d+W+LHGYO z+u){O)fR}9`z*1E?Ynb0@5-*Cj;OFWe!g2vfya$AsR;5|_ciqPfpyOWyL}u!o{vMjVQ9COG8b9)K=q)AHo#1 zZ$8ENnjVha710b^X>IhI&@dK8tS8VYaho3(CY&PI2PUpM^oYeRMrFD|VdjPss$>@KWok<{HyIaO^1 zT6~}+3@u~HCTOSS>yRZNl%xqK?b{qodPVJ(i9=HN(GGu3+1k2LXjt_eX5Zv{L+A%{ zO-|*6I&6<-$qduO$sBv;OE09MC~2-1^0w_r>T+{XuouGKs{X(djLN#}g_eezMrujL z+$a~k50}e!h|f4M#`6s3Li`YDA4;|7-0S!LwTc>44$y8Of;NBDaXVQQMHf6w z8M!%2&Xb`tmy0m)I%;_#xaLGFq%`N%)ass}MR&@$a6d#6cDhl%@!OF48SRo#h*PCPG?=CGt38e2{@YP~}4XK>uxGQ5C@ zp>olCpP)MH=;<&wUGNrxC^_a==l^0M)d7}es$6zh0Xq%azkVY{5Wpu3A&ARde=^L1 zl3cXNjNr67gZ2?PdUvfu%Rk3+qp@yIM+pNalQ&jHZy92rRq?*DdyhBIq#8s5#ND1` z&D`$!M#8ugsCo{Q&&_{@jwyO0YxGtp)SBG23a2;z+({r~64+V+ImEJ1Muhu+VaQb3 z{tc#m%AzZF0BM$mof2Y{E&EZ5+)?7YsjDq$7_I`}avUDMqn)$G03btnl=A&!`2u<6 zSSaBymvv-8o_7h2mbblWgR^z*b{H6WD%TF{~D2x?b>jkOYz%!P= zT6w&0rkB=Tmt(%(&4e}KPNu?<`kD)SRv!rq0M8J1Y;96vO&HwQJ(PsQo}&OLT_|4z zs>#!Iaea=eRSvW~H^=_CN)T+285=EVo1sM04oU6dmy2)@`LMV(YK`xkWr;+?v$g(CTaW2Oh>7qEnXzDyP+kx4 z@6Dy(QFNm+$dne6C0@BJGa60-O6rdx4syrOgS}=G^&$S92JBvX7&f1VPy;oo({J%B zwFBa5_+XW%^c`=Sft=VAZ0XZFVHf#Z)`F>rJ+bB}=wpYx!TM~v)7Igy@B#+VVr%M{ zC#QlR;EAwi9O62ukbdytV=!D{DH-?X=ke;R5kSHEt|oiSN%WBMU_Lhf0=#PG(zP|u^aC| z)vZacgrPhK@Xl|6^#5t))O%oe3!MP}27R0TChq8;N z5Lp1R;J_aoK*t@{hIY`%SqY?T63D5B1--d-ZUn8AeqwbV?R?yLyA)l*HnK$!J9aEA zU$t=1hdgp?_W@a(o(T;~fsIx!Oo`riXL~Eb>=9!RPrgp&IGSe#M~6UNJ9MGTQ^9O5 zXo><_IOna0Zc_ACb(XNYrL|Vi<8T7Ge8g7eh|w3}8m~d4FaODh5ow}U)c5XdVeSkH zZy!Fn%pVQypu!%0x^x_?NI~c4B;-?8>C{zV3u+yO7DQF%pxofwtj*~O$|<+icXQXc zyFO=|Zw)g%6QO@pG2cl{Wr<=*I1^yDyqCezOsN2V%$H`PV)e~L`9TjG0%#~gtmQEH zZ!gMpkCiE)F^+VodySy476yun|8i%BTf^Y|<F+KNJhu)$s!zM$u#u^>2RT~}pRGw(u%BnE*78zgM&A>?e^m0BE0Q2Hh z{>{sn*(=uq*>bmhYvK56z`U#71qF{{58D=ysjzoqp?|K^H2CbdO}5+`a$ zc5l;5Ohu-fBxjfbplX<(R<(2|AdOvi5iO2t7J> zP_r8&?Jd;m=%1lk)iR&1@?KQi-b4QtMf(0X#XLLhx5!7=ZXWk}20`OZnxD{-kTv=`yz+{oT+G^PssaLQ?faq(WhwZ!Wf)E6* zIWo+QLx%Ww#MraC@ziW_Fz(uvv!cdp_AyiLBgCMB>Oc7fF$))g?7iy{(pu?N^$(?} zvo|Kr4WiJD)s*eE(l|ML5$L(A&#a=$yV}#iKQ#;aTGtQoV&cZnC1>%rW?Jz~3$QWU zae9$r)Y*AJ*hUh~ODxwm*BO9oRDZwtq18kSn%7YqFM1 z9)RLP4V`&&ucK;AD+f`P765jZ;agq^xWnz!VV=2PvLwIArZu@3OWSbvK5159;jox9 zM9)5~`_#_4R+3|&fU zu;ihJ-x(!!Tv#*=HRe8#C|6T-9JA><*#RZ}`fKBdk$IpVCw%L#rK~H%HMQAUfM>jT zk^uP61$*OXp&aU~+aGb;XgTTpZ>x^sDM1^9C|Hji#C*>;e?f@0$QcGscjpASSRil7 zhvF69^R*_mNC4_9*k2a>5Jm7@q1*P5VM1H;5zBCl#uodKe{1&CSQs^0C5=)8?SIkY& zeClAvP=en5-EM@_;nCg;nOiDjYuHk*$J20}^FGhBTV-HyKn#hVa!Gu+#u6K&E7a~UKTLIUulZ)m zMt5`pa8}FFswYpJM=9Z-wC2H&12z$>E+d;`n>k6RFRgwF%xOFKApCj^FpxN%4|sLI zq6$E9$t0z_?sM2Zj779Q>GI$6%gR$5^5_fJZYj%Ut3EAubVN7rku+cdxmBY z-p3yAwv-}DUs;t;aTO@In#r2sL+Xjk9kyql3I1A^Sj|A$k3451Xt>`I&L@l}psHR) z$eUnRLOooyLn8gm*oQ5GF>6G@6SNT)483JIUOvnf-S`fQU9aMXnt#u6Rf(fiAVBb% z&r*av4>WtnzFT|qVUB7MCY%ZoI7V3t@@b=Kf9gKbwcb}V?sQB=ZLR*;XQCINzu9Fn z!ykO@DTUa+e-d8F*&jhT1z2>ihM5zK&Ee0BBEh|=QWxOeqwAsEBrLbHdHtVz2wZny zbqWGGSKe~iO^k>pl>bm;rUf7Eky_GwJ#qv3_rd;MFeB18 z(>99%)|tX7a`pVJ7SJti8$vE<4*_ElH{KoZuUU2r_!XIOiyTKj`tj-OrJq z_%{Z${eeR3TtX!BnGae-IYaF6hO4m@3^QdCjKGIIFM|JEys z{&VB9vcc#Kc^|`XaQ)s^#%h(06dfM){E#|@o%eO&& zn+V9I3&3@rdfjomS5@E^HG!M;_zzV3DjTwuL_&WxTXK@Ffz1n_2tlp5hd0^k9ix4C ztXvQ&4kb{K&v@%Tq`Bhr2AUorOx)4&lLWO90|P0ZE`DpDlNi-&T+m43=a(y?z^JS^ z9e3AaPh0z0L*;)zx2)>?-L&D%m>fJ`+{iOMN1VrdBbx`u5#$>|;WG?``&}B)qkMqR zJPll%^$5X`P^SjIBDNZ5vN`}l4eiFis7{z%%bWor5Wvw{!z7!u?V#N#5eNAE(han~ zn4UD}>enG=Wosut1&L}Rd>lxAE&YSgCz8Qf$|eIL zuac&=qnGaqKAxh%KXgjXxP%AHDao z>i%h)j)BP*2-Cvba|cI#l1Q8wRJI?NgF1|FK|ZY{ z3J3_-S3T2afEzbr7#HIUFY9yW_Ow#YR)Z}Q?P9d!G(oGeFF!xLxj*f2OY9>-<;pG9Fj9J~7G_39$u zVUnMs?vblFT$zv#=neJh!5vyJcAXY>wZm9kDLbXw%IF5I`Kyt!l5VzFrp})?GQE@d zZ|Vj1Bjx5yl9DIF893#J@c1|}W{_UJ{smsi=FAMFPu!y$GtNa8JRDIlf|;=+Jz3N2(NA4f?t&B@41I|-J$BBk7gZ~#-11};N_@}zO7FywR=`(oZXk- z1|%uVsh@y%d7DJ9rD00r%GZD3hY(#8G-yrM3;M*mm zaGrDrmPK^S4@{^mTOeA)+13#>u-mET@+sbo&9oGVT`i|qr zct7;20rCws*={NuwZlvprJveESmo=#Fy*To5OftZgCNqPrtQ<;avMp6r(cUT#+W7_T|;N(#Xl?t^eb{cqp&>Z1peW^e94$^Cp7LKPcn zO&SM?>3-7@y^1E1e!@kfN$u-%&CD9|{kPNodUF3~72BU9a>;nL6C#9gq@|>8b7fiR zkcKgUs2y_UEH}zo_=9CT($7BcI!GqS=fcCd3pb$v0}*pxn^!FIz8nLZ zyqj{#vA^<`-P3vN$vKH5!TrG{KkFh-IdKAPK!>Fa!EML$UM>8|_+6L^VsgI{mLT(m zkQW}9gNprp#Z28r7tai*p042rA}`-mJ<>unn#OBzH_HjCKD8(3Cd(^KV#vue<%@*C z-j{CWvC_@J^t88(1S4e?m(`|=nm9X2PHWDA*i3Z-u@X{Lb%NXUx)XdQuh;`A!3QB7 zG1Q4qY~TTcRZ{#PZr`A*zvTnWd9`nuaD-x^*OFJBu*x0Rk9FS`f)gI=w>0((?r}8R z9^aHErM8;Hz(wghG@YJwZYokFxEdlBfOpjpbxVjmj7d=LJ0w1TwE%Lu30tDd_J6fM zkcZlFWM;{J95t$c*<&uIlZnBKg2pKF&iu=Jj(2OF@#%P6XKcrm?K)w3=ZNE#-5PB> zo1n~}XBsWE`}PJr6aw6h0q@aMd9#n{}%dl|P=+L$JVG2o?H=W%Ypg#+!hUSu+z ztp79`WSO+mJNRioodj5iF7yeS&REg!e7r` zw|F716uR;p^}ucqZ}+*}Sb-mEd^fEwV(Exeu7_@M2ymsTufhYa4Otom>AJu>v1`1R zrFfg20gpefHQkf)(@mV6ZSOZq;^*om>~ zcEW2oHwTBcoZh{gcVJSw5|Wd4A^~rP1ANRpws8Ts&&Zd(nd%*G2ld}5tRfwNynsx} z=QDo%ioSn<_AHj+|AvS3e&cZrv&H0M#Z~ae>mf@rJqtBZ1dcH*04*bm_o4-nL60Ez zitGCFBQ(qfqr&a)b>`FooB?-wjOu`dK0@`e4M%_l>o zoKJ5M**R68%@Ukyw(GDzV|;J@ds2ZAtK*3qqFALQhPesI^7!zGG|X^_8jEy=m0eVr zfzC?lq(eO)^*$OVNpK+1gxJ07v|4Js3vD@v< zOa7GXQXQV@`ZmaEWytHX(Qg!BjRK1xn68l7`VHA_8yNx}yn=&Ch2IjzrEkIGfqW!1 z@BD@UAwkbg5lly>7!Ub57C1Tp3}etYo2N}IbXoV=vf=F2dPKcf(Cn93}`v!BYQ>&e{U1p{}!>fzEdIbdwpK&8$0^e|cP<3CkPxbhh{j4dUPl4X@y(xFSq9gxv?Edsm|J zj`Bi*m7Klep&wT2X#gzy!}|PJ+`Z(0)GC1FngfQW!S?D$* zrmko0fzh0P(peNGlLz&?P?e0=g@2((fl;;dE2|q>CzLu5z8&EadOQYb`=MDQItoZ5 zak8u2H62U>yl{k&QvE3yXEpJj)l3m_8~w=4y6)s<2!lP2QmgqMf@-(0L&q|JT5VH1qk?VX9+vY%%Ua^=Z@~XY(^&>Z z`MzzKSn2NWmPTnU>ygagLlOmGe+%?{6DPJgYZ zBO6rbvrx{KSW>9q@uQgKWZIw^=wBhmq-cgl{vI@b)R33&cVn7MCj<`^ZpfYtUYYhi z_)!vA4!}etMRVD}SIFyE-RKdPy+-u4I}EbSC#GiO>|6c1$WOg{42RNU z%XgwF_+BBqpi;BGr3w*SnR>}LDUt)gi4Gw|Oj zIX-L&6(A*ht=e3k)N^MS(a+7{N0#yO5yXNlU%69ja!0&F>b(j0ZXX#Je>;r1CIB-q z7G?I%jMOuYvfIXq9SBV?`4R$Ffy!DncJ%k}GO=ksp<2nAYTJ8Rp&A0(6VK&HOlR4~ z=db2cYKhtP!!!j|Kez;vnXZyx?;`)0h&sc}jX!!NSX#0RAkq)4?5c50?tHx3>f*8= z3{(A=Fz)c-9k0sm%nO;dj+7ZvAITlE5;|skxkATGWlIwT5q}$TXvLeD#LU;3Yyf^R zw6#?DQ$|c$^I=rAtYa4;?GKW}d%MR`oPvZXs|zz!tv*zDMy%0^cfN4qwVsU=&8^c|26Pe=!mpv^$NgeWP#G2rd)(ER+Au zg)xq8!S<v@5m8 z2d2;~#YznojCF;cC05BWMdu|hB1pOxH9!u8+I+z^H*YApOfzsu^v-pP^rDrr>VEBK znD{lz6XyjSS2lU2OKeJI&YjV(w*si^ra zG?E6>4RS&rq*T$z)soPH&JJ3zJ`}~CsA(MJ>~{^2rLU4; zubI&22}jcZ6SWMPcN2qSOR_PS?D@c^(kDNvW~+mea4aO# zAq1a9s&P;LGF7l@M0~Ni&`TM2A9GR%LaqlF+-?NAC%>ahz!5tc_#TmU)r1!O4c2cD zp}X|ceEBw9z_Xy{arW_chAi90st-u88EXcCBdZY+Ia&6u<0~EVZ0zZ#+X7*DN{YrE zo3wz-A2PF+LLfq)H_wo6nDPG6pZ25Ycl zO;UO8vrTS$j(>k=EG^&Vveh8E8xuO#tB={!My<@U>Tvl~OcY_O{7)t6J5i+^uQdV# zsr%4_6wl|m;S3+bZLqVzuM*Y?pe>ukojgfUe{CIf1fxI(_=@I^6Dj3vq;*k zMB8904TKlrV+k?FZVHHa@cu5cNL8b3r5ZK*(tEil>X;KlzK3J-bPlq;`9}?jP8Xr0 zxJk_EF;NO15R0M@9U}nuJwQ#Lzhqi=_X~MWLFv0QQA{ytMs#6&(3)2s4<^5e)O3DD zeX{F?J56){$=3@596oLXghs59m6B^8FRoYf-;Qt@ugh1`4BP{X2JryEI)KSXPH+)L zi*4)6nxTdrpiGbeQ;PZ^^jbvZ55R)N_(d{a0JiA9v^m}=mN>WXNtONz0Xlw7?z?RH zGR8_v?%D=uEz_Il?NMah(6q<p*}|A`4n| zT>McwUuB>RRIf+h#s%fJvsur2jHYpV!5b-K}ZLlo3)s7<5RR3(;c#K*y@Jh zuef6v^G+>N5Dn+U=V^-stX6OzRQ~q52TrQ28aj2uM7ka{#Gjk~96gZd*ZvjZR>0x9 zFp9N-_;LRRpM2_#m}}(%jTg7TkF+4)06Ui-B7V& zJP|#1=jun@X+-F<^8q}~S(mqM3uT!V=U(aTm+R>bDXP~v9eXknIjC`PgDG?v+s+W> zJ3^FA9R<7RP?L$;#nS8b2!?P_(7VBy`X$HO-)wdp!6(j-M2Q1Z%W46 zXr*p%>l*b*_C-=Mki5>=K1CmxFJ5LZRp#l}*ofP(;P#BQSjiJ;mkwl+)pQcfR2^w) zEe>RH|Dr`_YjYbs{4#sbtcr&i6okKqQ9LzzBm~_=4_Q!;^`r@0_nX*u#75#yNj-hN zks94^y`Rw>$$D6#pM5%?`skS~Hfm)hU%Kwab9$xJv8E+d8sF8@aUSdbgQ_Dgd(myP z6nG)*M_WFHn{DOwuKTWQked$M*yne>Sz+G}j?LZtoMjurX8$9we=e9uz4SXFIZ|H2%b{? zX-qgvbRl^)nj z|0;)%KqA=8+_DqJ>kReoPCz7kC~Ce{tglE#4(^jpD0qWhxqszK@f7|$c7mE(YsYfM z)i6O!14S*Dzj%j_m;+-7>GKwCm~szwOaF}q-A^Evbu=m+!F=pLkDn}4m;-ANXPtTdkX1>ciPWY zmLJ%Pp?{Ek9A;*-q!Y=t6)ArS(1X1mMLfGT3D{KpiCQ_W(^5qIT_LCkPf^wr zJ@nu8!m_O(XAH~2`_3-9mOq`FIqSN{cz>nw9)fSjxY^;GMe^uWQaNDvJX>qY7DUt? zSlt8tdzq!gj4K7@YY+2Nu7nb)0O4ih6Z*f)H{8LDY<*y>r%htlY~?=%f;IvNPjBdA zx2M>c=>jod6gA{J&eKx;ez+DOdnzus7@4XT;$IdSHavY)wh@R5p;}dX38$5#x(7K= z(fLUBIq824Ea_}W;{A2%K{?fS_3>Lmp7?aAN~=_zXp7J)Twxx794<5z_l}I&siO>9 z*1%8l19l7}%g8Fzji8aK4< zwCw!D+JiT2aK+?#6~dzp!13Vm?$ZFzb>sSzP+&O zJDO|`x!`Ft?sCbSP7c~?FiwN(PXw4DwE;J)G`v2&*P&r} z@_%ggsly9a;p%KH&{m2$r zpkZ~*n|KgE!&ZcD!sakzCWLvpAg8t7ecr9Y!c`?%tzwo?u$WHptw}kvj9U!S=O7_sVUoJrO~#Ms}z0uv8Diii#v|cccrQW4n9%uQdNdu++UYaYfMXieqj3g~#_-@U5Ni=U)@P z?txNb*u~tWjAPI}p5>NPz*F7;hH@JIbk6t7HI7;&AwhHpgX-0LZKH3rVq#aWMSw2y zP>+LTG$VSqj+(an|5*T`c&2$PWK<=s@BxR{MI*!5B`nAV@KR3-d`9S8qWYbuJPt%U zq1Hx4^No$;Je>=-r3tEz0^ZLBO5^qRhlAXGp-(Hc?~BOI{X)(CE?-zYu}4bE=p3%8 zN#!C&*l9{G!8Kd*QW^WW)WRO!K~M(V6Fy^Pts}J4S}B&(2nJ^?^n@Sg%{g4noZ^M= z+S_K6=}7JagVX(T-~L39s;eyttgLjU4O6FEhB+pg=8BLWbu9#`L|z8Y8>bSmOS?Yf zquf_nJaD07NlzGQsE|c2I7lV`;+r|EnlmM&!lT`q^c~2aA$Uqw9n&ngX*; zmLa)3TywmiZfFhdYvdph?R76D9*U~RcHFAoM}!2~!3oBfO}I6KI;iZH52MM%Zyc7E zCt*+9HN3k|2|FBJkKCa}98-kX^cKn?9nt3rG@^qGzDdak8!cUs(+MG%U`(D%1u{Hu zvec}@96s!7B{d5c3gAmTB&;4G3E{_zm9`vM&AY)KhssbQ<%)1J{9GjLt(oMioKPeJ^&Aa7Zf_Kt(6KVm9uKLt+_hwpfl~sM5QfcFk1En@D?>;?#k@MO`5g(%Aq0%5Hl9 zdbF%cdT@<+a;MukP`kR88cDQ(CyIX#3i$}0cDUXx+X2x9=I>7JZ_3=2m(e~N3?kn8 zTH*%1jb*V;M9+j`qS>8*JHGq_eF?k(k0+6n{$LfNn2++SmX4ePWf1(`)1_y_FNwR< z<295-!MRisgPX!Xdf?hX^oyK!qgg9MDj*w%t^IZB$frH7rZU-aH7>;>I)a=uXf*u) zEj!M&dpc;jB%1hq*&&9Xd!^v`9oD1gZ3u}-qI-QwI+(~E%404s*>JkfyuOB@LvkM) zzcN-kaa|lILn2La?=d9Yw*GtsR492%t34e;TQ>G~4VlZc5(iDwS@J{E!0;a1b-{MB zO0QXWO&5{E_$tackw{q;L9Uf00|3_rG$_EKY#08pXilv;`#y=zTFCRs=Ly?Y@S8A( zct^R|`40%9bTgy|oZuli3du+SSrg~|+NZ=*6tVME|AsNyO5rz8faS7po-vBXI92$K z_s$T#-rWjaMgyXd;3~){L+0gkd2ieh{A~|C^K8=mg%bFYFmXVlv+EA2i^6N+D)H}Pg#G;0t~qr;$P;-I ztt@yqQH=R-&!%dF(=U1{i!&FXYAHGGxg$#jH4x|6-KvgZ)0AYP$xraEYM59i$D7zE zh!m6-4fsPXe9ye$)yTE83y>8kY7FO{Q=b6-n8X)rx;tRfpAkF;eBD5!GeBfTJ^S+< zSbZW9Q#|}-a@o7&KOp(gH<%t`fPjDgq3Lf=OT7EJCl z$%G&nYuA4d_tZYvI>>dWKEZ6lvD?1pH6~@D?bS~|;07mbj+*j_W`c2s>j_%$zdEeJ zONw-!KR?XVjyPiu7wM0jLG&Yam|<;j`SJ^5oW%u*PW_sWxBTIP4g>vF?D4km#W*x( zBIJb|5F78|PbHfo`pCtCm02<&eX9im!FnMqDVIGJ?=?v^P_*7;#Yr;38$!cKFVp>& zYAwLxj}^uJlxM%rIUc(ZPvC&v36Uev!B zX`Z{=;U6@$hRB)%_qIPgMfjR>(H6c76ZKRJqAM8M>m6fOy^dZA99K-th>#U-S{wa) z`qJVdCP?*W$tE%VY_}_@Kl2FN0*b<8)X>jaL@U7TDSh*ICKY}W1)jD^1S>*s+?-Ql z!8p=2^2TI%+)jB|;V-95AVkV<5t>n{%b&5Mg(~?Re#KL}aWcgtUfxzf>7---w0n}b zn~g)N?v#Yw%v<54eY!F^Z+^kqYH4!Xq;Tl@&!O(<5S8kYO|OfWS|iNW_&65utIQ*f zf7H)gPeZf4k=XuG5ev?$o{i;>gLjLK4qA^=t(<oI1>LU?5Sp%aG=;co2Vm}q~a5?HWuIeYp&SwUtYZ6P;)tW%@86+H)_@#cJOuo z!_em6Uw^-vVK53&)ILXYP--mzlcT;jwj34@#|CzEcj#-b4{2c5PyK{Zt;ekxZaS^U z9ZFMllK3XO!LjHNL;K%wF!hK7Con`A!moL2hZINCZTh_l%Znkm$&AFN=TY@KlG#xRo)$veIYzI)(;+EW|G69by7rDMnRbziBw~xstyd?qjjt_9 zYYZvF^1#6(MvbL2$=V}9$b=0@=;#-cq@LuZ+?=RJByx8I&}@z&aToh# zlEasWSFXxW;oj`&9dPt(j1Mg3tAxl9YS*uQ?T12B;;}BdlG&OPXL^qdt)1zgxw&>o z%D=D;-3@acO#YSEF%td#V&@fSTWC^w>IWd(m;){jD<7+B{w|ofrf+pUop&Xgf4Y5* zxmKrl`*$WBfLlmXiMlbIwXC`{Z3aJ$uqR${rqTK=_1ITU2&5c0YnOa$-sT!gsQ{(S zbp15?98bn&zw04h|2iqQ5JMSk?nnFSM#l?y9?evIx+{%^rtZss#$l{hh~(=j5b~3a zN@WNA=Ht1*SuI_a?2bR&aQwO|=;wa^iA5FI zBdnRzfc25bhC@V4&LM1RpnxDFCwzdn-iMnK+k=_C8*2rT5{bJh6~pEUd4WyM`#AsR zl`XsPc$`3k?=~>1dFeOqx3tkZJz5&ND6QaoAUW~5Vpl9oE5iP@RM)x&Y2d&BP}@X5@PHSmKKvW zblIrtC<$G{{~~=RAyadX7pcE^_gR$L)J=>{hQo^dTRk5eu_+c#_;pNIkF)e*M}WoX zZbB%!@}oKX&^ahT-lZKj;G+I=e@U(7bZSMCB**k>pnx^1jN6tzxboDlu_Zv8O`G7O zgR+O4df~h69cpwMH>5K_lhqNs1?Z!i{o~)|1M|HyGoR(siH;c|8S!x~Njgb!O3d_r z)m&)mBH2!qc`d=F-!3kdmIf(PcIAyf8{&o!A)!G7s=goe46;=KCIqLi0j$+wB z$H^A4b1+k%0rza=M-JPG)~uN0-UBka4||o*%7umqni4Vt!3}*j$M9ArXB!c^XrZ4D z&Y3Yu^4-)lq9FDE)>_c9Jdy@0Zz=itq<)2T>@Dx4cAwOCX$GGE#&6|R%M*UVC#NO4 z4SKk?Ua^klQElanB_E41cHQWo{C!7{65YAi-JOb_$ziZ(BNsB-Xs?Y@b5nqY{}EDI zm_S-t{){;@&}Zm0^;>ZoD7zBmPz7c9%zuA}nK&SqN@@{G;1P%a;b#(m{&L`Xa+6o3 zME-KXNsT|ZX9vu`vhUmHoy+n2&U-22ruRDWD|EFJYS=rhd~@wGJ9kP&P4WX#Df-NI zEpV`n_!LF^ym1_^d5f$Jln6B}GnRbvueG{}-!kuDze|h6zc!m@+a|M(wvrYh`;4B$E3|<x1SGJ||?~m+g;b z>H@Oq7a!UMJeU2Kj1#hH>lNlwppcI4c*BjJf&$yODA}`J;;hfkVA{+bX>1>pA?wXW z^J`ZIWQZNPDR3QBCo{EjvF!K>E1k)_qfdkRKyf2;7b$rd z`I(-$c;L#_Wno#Hvu_awT5hA*XuW7h+7^U;DcT7g{L7$?eq9l;<;h+({$s}{f&MKa ztBhX?L!T)e*BVkmtXTVfJ*jIDL5YoNBymP_m5e)Jz7c)d)ssW3+aIKc*KW^Eox13&wph54#&0qtunzWnT!_#|4opJPVp6M z;yD&WY~MEOGoVejl}H!K&5KhGA%Tem({V^5mw1(UUnReqx4#`ii%W} zd_T>Q)4Teo3-HD_0Wr^KUiz{S#~C;2fA0t=Hr6ie%2o+W-shJC4@irmFw&W>SMLP` z2J4&-mmMAE<$SH$9p-zvjq-b*o-Ia9Yh393wnAz6yV!x|*suA<78hWVSe8oV2`4k* zl{h!AkFze(LNU2n%;8IErQC*S^ME7Pm|1*U4HZ5`9!Tbw{Z8ByNF3-^Ta%xN4 z=^0-~aw^9ib1n*Q)$!q}<(Txy6%uv{%%E!jgg(*BU_*(WeUjBER41kG*QnwLWJvu~ z{~*v)KTtf(+nC2W2s^K+>kJ8@qT!TCoL6hC?l${>RnoYSZ+Vqqug}cY)?tdqvUMk7 zxLb`VW4o5)MQti>kKvEXM4nVlg+88Om~X7Mx|Nw;cvLbJ=AiM#GF!c1l`JwferwcG zb<4-GFK)jPYY*X((5Qr{oSSL7l$iZ-HgZ@1;k~Zo>$pJqbfjj1 z72lz~C2*a#a$^GfWTa!r5m1B3gllmrlEth^dXE3!aAB~|Bw#$Oicyrh&9oy_p>q9Z zl;_S2C{jt9hvTwzT)U3^tsuNfyo9_uTAE=seSQ3+Q$nZ?YEP_mXbIeHb4~d1dW2$Q zm5Lio$p2lFMPUIc};|l*W~M$~GLlWnuA@gCjLy$FDwaH=?a~3=RaLr*F^MN9pH*T3ISL?RH%z4#^%@w>F8TcHK*VnJ%9*s>d`7&0ByG zNkjVemo~?6EJpPxrGT}<-z!xPI^>?lCfnfG5y(Fl0~7@8hI z!(Bh9YwTyLP90J|=nnih`T-1RTKY=G=#bm_#p(0l`_=w8`>!?#`IiHVUY59}m)|iX zFRl&&Rzgu@)L4}Ylpl)rR13Qwx?#voZrgGWFM=pq>QP9MucxG+oU*KEu16~v11`U- z3BsFHDsrMiki5d8{x<#5Ock~RG+*pZoXX;&jp6+H;yW!M%mOoDB}UpI9_;~0-AXs% z!VkhPpnX6NRe!rd=PsmmrijvV&LWic`e0>o?p4V1!$|?+``7nii%YSZ?O+Zc-oML@ z4((2M=O>1zn#+ugmGxQSlFo=tO)B~(z6xpp`zH;Fd{W-HLrGHNN(EFGLb?al^kH&<36uD zN%}J58hcJ7IXn{`Zx2{$_x%r1f?1%fCGGx1U5%-kpC&$F>1;II2yewT7O+<=WO#h3 z16W?-1Uz}jvK!&e15V+U3UpP^rBPtQG8E(i1F9cwJ6OG0%faF+E$5=W=f#^SkVM+9 zg&Gs~*e3RMaTOAub??RI6;?5V9qsH6sZ8w`6G06NbTaiFk>M$alixuli1^mawQgHQ z!~$XIF|lKnJBYWnE;0J&l7Vni#k;KrXUKf@4!IuIW9zPAC07N{5^q(G-UKY1QiAX6 z6Op8FD_FAEHv7xcLq%v1)n3F0G|)3Q0>{GdeNq1EX+*dW8?*xE=Fb~fNS78y@0Mse zyCxr;z;~kwu!8Z^G_k%w9(wU3YV%j!y0PDX7YI&At8jqK|F_ghAocyrlV4 zZp0>_98kgT0z_KK!yAU5e=T*X!QmA1EsjNctMSl}!EJBcKW&%%L5_o~__iuz+N0&% zn}`CcW!xi8%QRme5OK3Gku4hwtp&PyG)Nl?QmwRdCb%n!pAZC+WJY5uya@4n@Qfl8 zShH(DX2`oHwRwiaPYn(0n;b(g#e~PSt!MDjMc+{`HZOzvjyJ&9vvm*JAi)cIe!OiU zx-rA6{%>kix&wPS2LG9dbpEszJN+Zj(aNDn!YXQnb!M8=cC|f2eK$#p^ig+mOHuxV)l)3S;kC4{Y=(ur{~6@ z!nW>my%)S3ugwD}Wz`NJ8hArlZe348b&YmNG6cM~lqCg-j+oJ8BBD#YX-WhjaF}v| z3ytV|hUc@%u95QAi=%6W6b{8^;T1x*X@vb`3%{ly1_d9(&vnry#ZYs=Mt+w(m*A*goHQ05P9Odk!3S2+mZ9B4-^IY17`CdhwY)w$e>t((9ACih{~ogt4z-37k7ew2HQY*Bkg4Vkc`IE9TnPvf;XKj6Wb2ESi07HQ!tAO8= z2m`6Nml81QNazmsUC}5~Zx`ouOE(^gtFR@)5S*xamYM zTF?*iN`c0GP7JWh9#Bmol6(=$3D3PzdLH>vqChHsM zGJm`pU6w`P!qUzs?xhL+X44jAO)wdFNI#1>^B+E{+)7MEkYbC4#2cNozefLPuK?eI zY^)*(0(=jQx7ET@f49Ql_dVjK+z*gjlym_FQ_c1*_TI0rtb4|quD^0M_^<+@ z3GdFPgG9`Ko;W$+sdUQ_aWNMESOB_g24baTJnW8#nlxlnqt1lum7UE zk6PQ#4Ll#rU%Ak<(!O?b%1-9@MwLb`7-_%g#m0Q8EFiYNc8X>n0)~3d%#nf=&iR>F5NEQOm#El(qQJau-Z(?FQxyUaP?59Rr7VFa zYlN%IpSLc7{QopPBvEbdw-Y%GaQS1p5R}PZI}CYPx?AGlt<4OJ{~SXlnefUdF_#HL zZEGpk@Vss}ex1+GDA{bQr_CvdY)T3&GcXhhVL6{Q0^N|vpY#9$J-eIhs&6UYF^B z@ZWzhxY5#~DtJ=w*xYH7*nXmUUmn5NXUeux6Cjut_b27ubKl~x-!*YB8Ic|ye?;20 z&K4(#$Ef)|v;v11Yz%_z(NKXXfZq5;!63hpKAuuYakBAI$bQ^PJpfxH?`;6GlhoDz zpPuF7V{>%XbFDXNU1AOhy)()9;4~q)!1c%5_qt*l`>b2II1xO3uH@_;i@lK*j zy)^hy@*n?!J%yW6bOW;aiH7A1x$eqqr58Wg+M!jUvzns~9xNE|(4@}79sEaZ<7bDu z@Z#6Vjs8)x6u*JpAujsx*&nSZ)Q~TtRLhtQ_2ttigd8kTRE{m;zBeIi72S3LXm*+3 zMMKNm3xW5)Vwm2)I-JN=I?RKZZ{7X**3i$Wy!+o4Qq>eWP;uG{$1A&~UQp8q;lgig zA}E*|;MX^RC|)4aAbOQiJp&x|np& zU`5}@Yap@%p&s;8eZ6ROLaQa+CA3_%klbv)4X7}s5ILmNkW4s^jtBcHDR3~3Ts|>7 zo#ZLj#yNEWXS1w`vw5I^Oqjb)0bJ4nH`79*dZ$VERf+9n(XE9DxQV3_L~bjD^^2)!=UZrR(c;4qTr_&G)er6DRggkM>vTXD z>wdfO9wbP{NBs%dsOU3=y_Q@gXfu}5-{$+kXV^}{P-x7UD9<;s^YyAkVo^~K7IZvb zlTpangDd6l$I+Ls?)&iV7G=5Vy6K5f(D5Zs`7vplWTVkkf`o=e@)`QBdW$@6<3oo1bKe8nhG?vjoy8nN+;m;UH_|CJJ5!YCzu=R9y>pN{!Zgy6 zL*Ja>F%B1qy15ekfC_jrkoB|kcKqjW`@hLjQ1Z~lR-*!t)h%)#OOObvXt6R@s z=l)^BS3yv>|0w1UUYHfyFRxp8X3I>6oJSAW%1&Ee(gt#`kfbz3|C!iR&`A{1#xnju z6@e$FZ~WY;~ac8^H%e1ST`@W1N$}gRYKJ9#+g5Q9ETz^oVn^*`nRhq%bYGfk}Tni zt5GUTBXW@gb{TYz%V*LPA>Q&k36kG!)BHm6TIU3o{1u?rCE+1yECclD=kZwbdwT}P zxz(zHHWDZ;+^Us1Z%)h~GH1d6YD^#eN8TJX)P?$VDiM5Z(>l1GHzY^zdP@Hv_HCgIs41a0GZtPq_F12|g zA*R=@7X~{}`hrUvn%LWOlI`BF6q3^9o8`V1$Ll7(G&Jq^%Em2T*=TsYW~#NF@bA;% zg#)=RKcig^z(Fmm!QY_~#F~~lXu3t(1W6BCgDl-Y)8H0M%D>x|nxIy3jBkPd>}OW{ z#7*t3Hp_dL^`pI1tuk8QH67`8!_%yp8JAuzSsH&gTXqzgM#iiL_Z|5&b40qMbi=k(AAX$0*0s3cYM zo08v9Ie=m^k)~e(N)+Au#kO;UF&e+PXd}NL=?ssL%{7CF<{(PEKx6Y>GwsF7JbTv z0yni}Gz0Kmy^?USZKT}YKcFHA;L$#GhagWHst+1E$90{y;RLKjTa1#igR-8_Y9Ym4 z7lt^*WHW=-Sg&yr7FuT(^-ih3UA|ohd+=dAS zU0N9AiCZdk;M>THygDSvHI+0OUpi!cu{_P>gWU+X2oLGNcHqC9#18j=yCD(vmwRxJ zq0r2K8;8t>>8xHUtY>UGT7aViXIPh-$dYjRaZypzpWAz3be^+{Kw$-XIlQ@%$_&1m zgaBKqmpkGeaZxqS8{@2gFsYAS7d8j_&~Sb-hkR@JZiLxTT{U<}GZm;aUIdT5ILsEf zW^O)dHKY#Zls79PS}iT%u#;yT6306RC>Jtz(YVCvSX@AJA4(gYDr=;$^$V`i7 zTivL`TNGDcz4>=%q(9^G%dKD^x?4i4D($w+@4AwZ^~TENRQ+W04!oP8As~5*#a&vO3TnAJGbwZtvaxk@HKf(K4<6AE^q@LBD+AfnVRlvit05?A z3n=(lz$oB1FS|y-0KP=OWih8h5Nlcpdh|)G)I9ZrYYtIeXsGCh*RIB^`{H)v@+^)| zx^J2mzx);rscjv1z&}`r8Rv*9s{AfsS0;Fvc%SMW$D2E7>U7X18*F_RrxC}uFQ(=8 zMWE?I{&{E%YMy#@{@T6H3TTd2W^U0bV9=OOB8PW_9VVUNdIIQp9@AT2+dY9}hv$2y zbJ1Y})+BcvbnIQ-0cFuC-QQ|5@p2pB61nf_;5ZHiE=rCH{<&^vGfYrw?AoXMb+3Lx zCD16H@SkKQIu&SaKL5jeE;lcRv)U4jn&*048?ozgA$ft$K0Jx(=le}9U;&W;=vz2P z$nF3m$*tT|ychg3_DWKWFS|k%wh_)F?NZ_!;8@+Y{xT=Q6OJj z8vdl8UPnx~n`oBMZa>S_LyEPnphGjCJG+4wVXp}IUBh4Tc3kx8`>%9tLovNv@?wQ! z2MT(&v{ECW*<9F!;*mdNEo{?yEa{wpYWz+2Gye2@c+i4#s_U*+4Nn;`2I8L)jto>0 z>`sQ$f5A((MY6k!;-*4T%WpPkou+t9bV1ag4E#|9MdD@#ESmYwUmD_kE!jil-LakB z@l^=#jxNeMeDzo4u%wu>gfTg5#SaR7rvuh(-_)}UEmBvCmm#9>ME)Zq&I>F$3c07B zbOhhVyW;Qw(-8AR119r@z&@Ub+Zq zaCZIMZTGKnIP9ep!{vg>f5V|sf_0XK_jYE8({ceso?B$&ukY=T(;o%XQ5Oj=-X+S? z6*?ZL>ZWUJy(k#`wL1TDLe=TW0(b7F3!(MY*jCEveQxa_%^ftOT79pRUL!T1yWY(k zVLpDcd?}JD<-C$wxf};|96}rgzBcF;C=d(ozeo&7EzeOyLJqB9ZWNpTXN~FOL!0$( z1Ujj^+)bx?V|5GhioiKUv1EG#}mS?#!OxTT}C;U!#fI}iF zoO&CdKUnd*$R>kA^AkPfNjK14VaP&Id)i9IdA;4~q$Il7Qh>kqaIcB-R^66%28|u0 zgidasXGEKvNx=!^fW^8HukS%rg4`*%ujM=5Cq4)ebpHX2zt44+D2Iz>ij7h8 z$rH6ycyWSLOAJKaqLiGRfR3{k&~d861ecjIr{fi|HL?XuC&OPABHtZVepkFKSCzxX zbq5v_N_Dj)csz0i5vf|XETL1?>p+?SfK-N9)P7IF`wBf?ALmDM7938rfJ|$CIZ*C> ziS~Vlh~NBz_T6>~kjc9ld@65xhOC@foHa4;X6qIMMopJB1ne~f=*XPj*&tjV2v9~Fg(E37(xd+n>S=o zdUe)Wii=*|Bu)u1skou}4mw#ztl>QC=02d~zSZ4<)e;%M?}c8z`ixqA%!4`MB>Zjn z8=TLFbo?y?7RnNVXvAJRxeYNg3#l= zSNQS!DQ>U3hwv)fnju%>9yMTpe$jSFmRj`hy8FenJbr2FU_J}9aj*7`DDERFb!hKd zSgLX3hs&q|6G3fl4da(G)3i}{>%JC`hv3cfA7;Nkm&#u8S#*AV*)3>vNr@>lEmx85 zkHwArnw!)(kZ66nNd5@Oi7>g@T@@7qb_a4a-uI{AkTm(Z;Z!lNW`F2$p_aT*9SimM zAD(h#N0zuuu7GRo8cO`w>FsxB2#8_a#Cz?)U@6Uux$hRHhU7dtZ(u>&5yH;ClIEW; zydTY8#zw_aQOme|!@SfLbqZ@TQl05#0`rSKJ`4@f9G9)<-Q~1GL4d% zN+D%!^?Ys>>l~>!Yjl0>q?)wTbgoYiY3C`CuoWt%M8fx@u&Rhb@Q1(jzXX3)R*uTZ zlD~cHKomE4mXI1lbs2!8-}f}i?oTdyv)6ImmEk2hWT79X)e)LAz^6QPUH+*&he1wB z$=eO(!J1tCG&u;jv?rev{rxBD_oSXg66R@hD;2`_Q8x0f+EwRK7H8PCkOXe-YC8e9?D8;xn zlP&8>y3mx`i}Dz7&QlQx-x?MUCJ=tV#USo9PC@0lWHsp!TWSf{HNli||LU|BX+D3k z2mnOuZ3_z*I3qc38Ik7jrL!~;SA3fcG{q$V_cI$%VGEVlN23(i2$lt?3hPF#a?SoL zsJhl0*%r}qRyiIj5tF47VuP?kJ+t2X zA+CK2>wxoN)ct2W+dym;B%>b8Y|Br>7&cVJM_4`{vYDGaun44o&J%{u>dl{<1r3_7 zSinQ8HUR$-5$ggkf%_R)R9r%aC@c@z_~Occ(n+mbnA2zh^7@Xx{BG^BJe5?|a_Rsx z+%*{0rXD}c);0ZbPuGjPEOnrUZpee#83A+~4I>Ph8QupbIX$J`__2+` zZ1Z9EeJU~*E&?Xs5OH;jc+PrZnYF)#Q^GF7WPFx{OAEHh-;KP$>P=FAGEowaTzvZ> zev^xn$LX2+^+%H5U`MhyW=n;!&C; zQEgk|_vm$E->2Jx7RFw|oA|<(>YntaN-v2AV=u-==$jT&*Zsl;^5BUS9Rd_(BDA^4 z!OCjosKV@RV+EiH0lFwiPY$A=5gF8jODVaun#Y&3L1>eDUl!T(VqR=BM=0ICl9m?;UlNUDlV`BYY1sqMKKSdS+ZHoc`&oe)ISF)GJskT5m1LXD zScb>e)|yyT&@$GDtuIZ-2uOeB?hqC4C%0R+Br6~C`!CI3jjwjdpQ8#(Yzr+(Trzmg z=qi@ucK)SQ^!Rfzta&^7T&;l^nvn5%&Xds0H4fD+u!jzxpPy&X6@QCZUX- z_$rp_v-#V48GVNLBPjHT|wFTN}I#IA)$?*2Dn-SXId+_ZB*u0 z4LvL&m$l9GG(z7zSyS1gX@LUHs=23?Kv@O(@jh zEy}J9*MPKimvpx@f({5sryw2D-5@bFb)$CSgIz!VVqq~&=NV%?-kHJ!dQ^-()O*<$LEi&N z7+oowsgnC18{yugy!Q+DqT+vwe*rJs{!mSIxdtf3Tz~wg>E9Rfy|xGrZFCR*Kmn_~ z@E6Z4%ny$L@>*8)^Zq^1Fz3ymlaNEDb;iu8QuiCWC}XtP=iU|-D)|`!rxPJ^FRZ6M zhMOHer#Hdq%N@+E()>_hYr2}hyTN3bfONd-46sr5`-;RhZAp;NQv!KFXJq6g+dy)G z?E4f`-F15#55WA!trB)@tO2}=SjM1KgJMG3hlYLRS9rF5w7tOdYcU?09kxKhsm;DE zy!2p=pdS={)+=rVzSoHfzxjx7qeO<#6O`~i;fX0YzZ5NP7tz2<5QS2QIuI{=muFG< zIG|Rnx#L&s_3ImMIB(E{Z%}#xs@}cH6WjL+Zd<;f1>j0`4Q(o-DK&{wz8qA=SmLs5 zY}pOYy`0gv$(2KNU4P}h_ixzv_|Yi(XM0OD+u*MVL{mtX+L!BM!C_IsbsG`oQ`p1? zT-@OUA7$*A7dGXLz0KNerfPoVlYFC?3D(V)Rr=(z&}Ywg0KAShok0xQeQfke6Z%l| z`LB9ggph-wO9_QRl4LX2e=GTAtq+;{VmS3898q?c{qlQaH~1;{>2u@P6!Z!8U#*)# zvG)`$^2@snH)Y04h>-20wpZfa5dhxK-6M6SuDVL%0&=l;;q4u@^R-OQ%PID8mHf7qmyILr?7pLB{vDxsPheIaohX!WY}!aGMV#)r#gh^ zo6`XL*ygN^2)EQ+vNxo;w{Oi9vwLY!x}zUCe|f1VWI$j0Oapj!WD@xPoYVby6q%A7@p*kk4HC2EzBGNnYuD}YT7GK|p{DARD6jA(88aFSrxgoiwgdvA6w$aHI-wDWzZ zi12}-<)fz;NEyN(%ky80Xw)|rZ127VjFY>vfJL>CdiKR{dXAZv6U9a}*1lRWx8dhN z)GxIATw;Duejn5^^5usRh<)uIQjv-26@_TaSMTPL=Bw7sE+&WLpu?lSjR3W>^f#@C!d8s4#I(4rv)A zGn}~=cJwct0Hp33u@0ZTs-5ocuKklwN3DcXKK;-6-%Ie1JBj5_U=kISX5$|fxP^9P zVT74UM&0+KWH0>`q6W~Hi=?eIxkH3&-J3j%e3bA5P3(lIS<=(VLf7xFtO;3cinR{4 zeu`!%Q>-DWP0DZ=s>U7BLB!+flDY=+;#4z+HT%)_C|@M@{gn(7 z(Tf!2kj0p&haEIV)(WEWeihwRgV*_xgP2Iee+0FHC7PR(eI%Vr5xx4b%hGOIwPK(p zM|@1QD+z;iMjNAon>N#%l(d0isliJ57~$P3K&&OZUm#d%3t@mDRF03_$w2N@OcggL zT<$hK<}^kEi+P<@;SBZ}^1-J-*%FpQhScZfQM%1f2M1)CK0WSXk>{yP| z5o$87+O|*v`gF_Wdr?JHr=I&3xRd21-I5-P$qRmz0X5?qd>mt9r#Rzo{oU1IronVW z<^N1!=uEeu^YEB7VCHp(?Zhop2CwNSL^3Xs>p7?RR$w0^?SFDGurd>f2#eyy~)L1&7AH+_~)?3Dnn$H{Cz zml?{ZE!h40zOVr-l*e6>$2kcbQeI7t!rJZH=ux5uAygZuUz#?_7QwHV^9Zb?~@2*_um7HBk{|(06Nc z6cN4kh8ac?%{-YdyQH9_@5b>wn;RW@!U&IiV(6MZs%(B2wI*hKquNJl`O(x4(Kio7 z=4Oa`*0-n_55*f4&)%*2VG8Awl*()1L~edF9B0U;>EOL?%}ipA+Mlkl%6%MWcF57G zms#z%t@LW;dw|d5xadLmJae}Tc+BHZqEdfZg5-@Y*3U|i4mR*k;}kPAts>Eqw~|$T z#|)*vverIPJUEkO+wEf#J@uQS*_d%h#@QrtC3zHDXqk-E8w)R}sRm=S?Cm{%n(NA3 z2~ja2iOs)&(!A_$mw&rDoHI`Q~yw3q#Daz7M<6xciU_qZx zt>JL{3Sf2HUl5jiwTj(SS?xln&4CBolk9cWC9v}jUkOtX_VLA{JqU48p7M2y{&!0< zPBOMe;3L=mI9&-n@)E3)I`Mb1mF<2#oTP13bMXs`L313uis$6}a;mumoRm<(gj*Ub z+yzL?962e+Q|d>vd9Q2wa{%eHRCpb*7TS6b|M1khYnp@5_0_A8W$8{!J75kz8XhU! ztF0o2d}^f&vXv^LT!pp08KkXJ&C4b1|Kc)c<;00F&&*Fqj3agx?KLgGHnnNVLBP0d z%tv;J)8R<;#1q$P)u3np(@D8I3HLpVy_3c#mW9u1Sa){-N%hk^ZIorP0z7GZ%w<`A z!+OYI&_Vm^+p&3vv1G`Cc^5e0SaG4=)7TS=@yhG!Nv>Ept?o3j34g?I3IZy7@p3k{kx0xtNo{F4UqBJGos&=X@i_S}31z z;koWMtcd_gl`CiP5@k6kuT2$y^78O9-$tBuK#utmK38V%ptpZn;D|WZF-b3BEXA85 zV2dn)R5_++0P}}TY=vAn?2X}XHjakOB4-|Cd7e-38jmI~3mn4a=jwhTnq`r z>)XIS*TeH)235`dBW)%{s-c|%7MQcIJI!tyClsYBMY@c!pEFu|b`O|B(Tj>t&H>nq zi&orRKITWP21lG;Wf2|UF4Yiu%hH+N#Nkam$g&|6!#q{N#=PGfh97VImlV)A_M?JDK)buN`?+$QY-9adwpdZ=$e}bZXtUGl6XZ5l}6K4Gj zoa(Ha|DOc_e0Q#Zn8z(|2(-Dr=a6}J4+NSIX2b{TpFP#z6O9zYu4|DtMOznF*Ocjh zYz{R_r)sm~q(|yGCIp@#+LkEMg*v620bX2s$S&pBU0^u!>(b0ghmSjl`C7~!I49g= zTjMcnaPVdg$ioy4umbHB91-V`U*1qw-G;jjF{BOk(s0Efruv9_4z1w;|1D&CdAAbd zDjG!;#bBvUg?%$A)DUSR@uRCXSwbf<{+8)wGiv0Pc8N7HGmHLQTp~(Geue!XBbhm2 zs6_P4$c!BHA;lZ;m(8k^i>%z0+`QwwysVmJ?~cxnlLJ4U1!#wo&d^(&&{rEuxwf{I zGI5&j6xlOdO$@HTvAEF22t}EL3HInK*S`qVwDEOo?ZWrtDe`OiR$|`7h&#`{yK(!z zZ0!ai`>4j9Ry0a?DuY5)MPF1WAK0tuzBl#!8 z5SSMUHmNRB(QD;yXMLMaYxn1G=f)lmHxCf-)buZ|W+`c*2pV`sSo2kc1K>%T>RABQ zi{6FO^;0Ey^ZXmV8SGa@X^GscLtp<`o|f;aO3(An9!ngoxFA6vO~^%8<2zW84humu zoZ@?!h)lD!mC4(GcXBCd!Qha&G|LLO(uPvjeSWb}SPO{-KV5EfR1)I3|*d z`%V`vcW)RyPf1(~t()_{vr#+mk1U7nUFk%A!u~Q!1(Yrfu&zbr$j z*%n@T3G3*_nRXP7K+5cWKFi)-bP5uOUIaA1fit5v%kbC6y|#}6^;2bS;jH@b!$xw7 zZ?MW`o-iiRZ|d+n2|E-kQ+#_A?$krc;)!e5b4)6kHj3H8J3^|bW9DhEDkOg}{U#ZI zr8^j|mb4M+pTpQ075&qtADWY^jGS7JT!cC*B^8des>={AXLeP2Kflc@pi%e=QjC6= zYGU%J4I~QQv@=m@%HT%qMSNsQa7dUXMQ{un!;G;_-}~KuzcY{F*EMpJ^BCu8&8%rz z9fSOnxA}=MGMP*%_mX%1h{UofEnB`#Hw;lLU+?g}Lygb;$Zt8pwZlg(jdHd(@5O8- z9!H&(ZnH~$#Kmw)+Lz=Yhbm3OEI4E~!ID?Re!e_@qzYn!4g<)?Q*PH8*~Z~Y zKgZj?RD~O}XFs#5keg{?iJ7+IF(XA_>?ORT&tQ%O^IboBee_zQ|7@%o_a5GWZc^X8 z4C8A8p?Xp^Lfd%?O4t1ys*i@Zo~FJ{co)gXYcJ-KoVugq0W*!d%pY{V z>ZecZk<(d=OzG2&x?wvN7Ki^+VB=3M@Ldd^6@#;NDtrl}9S6!Y-aOdLqTIp@`EU;{ zwrQs+;IjEkal{rc+(b6g=43UJzdcMEkOVS^L0`mm+ung%3~~0Hi3MGm@#KCTVDFF{ zahEA*PM7(m1lx+v!7U5NF=1^tMF%a)=6#M*3eRh`3Y|Z^mW-E-d=JvjZjim zAO>k2(s`k)G+y&bhvR%8?h*q^E2V={oS9~gh|ST`VlfsP2W-41z+xpT<8y+txh>z0 zz7a)t092{qqRAO6o_vhf6d+5y1i$;IZ_)!vtyjyA9i^S{x3SiNY`~%X!lAnZqKe`jfzK zsv+q$LSWztHj#$vlKN|W9zn@dY`;njT8|^3u=(djmE@mrRwpm)IwAe*{z$}i;1D)Z z@x~PscvMf=ce^L#=4(H~8)1m%!5LR}i-}kc{BjoF?|--7Z7I7NOv;rwdY9Wl9%oZv zfz|XEI6UZZ=&S`*pX8s{2-k}WmoWlrcbfl}Wa-fuFxHLUK>c1zRDy@g;ha-j4%=6M zzdr_g{&MQbFr~?2%+wT$Q-WbpW%PCEYsKG&uXGnz3z+a+txdVtVul5QJyIytA!3gZ z&2K?6-^q2+abzvM>;)|$dku`U+U0$&QpgjJ+|jei+fwU^9aNUKduS4abOjG=UL43a zhVhR=(8T^(7=?k`i~pM=5+lt-9U6r-^mmb=od`g+2>59FvdO3(WxWVXNNUR=HY2tswjtb?0jY>p+fhY!$v^p-66tBB7~TR3w1=+$KG@w`zO=wd9Xxi zj2v|7^N#2<>qCytKr@i2>N7pdT9pX#omGsGKQzOlxt$TwwFJ8h3UtJ{YuOu~Y;-2* zx4C{@A-QZA=bgj&bGK+{eKKEhJTWL`ya)sIn6?xL3^p+noC7&~8P11MVn2-3pqADd zo)Ufcn=~jRz14R={c-Y+z_Ee3GAPGJiOlBCWu z?^fXb+oi8l6Zq6~If6Dd@apS~>eN~Te%qMqv;19q2Pdx$Dcv-ajKj{LJ35NMj78HL z0lvKQ5bgP)^0;s5vN$f(|JgM7cua<7b z1DgZ{jIU_w|G|d_L90R5*)sRSb$gmmr*&Ea&13MP0&r{Oc$t&OKNrQ4xf3B`onL=W z@94H*`5o6PNsd&2LP40GamjI1%p6^>X_HD4brQw$Z&}ZXaT;oz*d_`8gEWM*rz~J8 z0HG~7zer224|sCt>Sy&8*HOw{wi=MI7xXyi5cxq>OK>vj#hONZdONK)n5&DoAfq6I z@(ZRM#T!OlrAI5^W>%7Ns?5rbTnCRwI|(omdMqiTN<*KxM1aL?!-m@Ej- zhmGYD$Es)s^BE`)2)DfK(~78`N#0nka5#&<`MgBv*6;T74@~Bz>f27oJ-H18I>yD9 z{khu^X5_fiU=^}V!Jer!whEWOF6%46FsMZ>+=ys|-B6z_04VJ>e(HtrH4&J(#Kd)Hb z|1hm4g!>kT_}Q1puI78{yiNcE;$y4hz138qx-8-_F8QI~wk^Fg#$R*(QI+iP#p6+w z5a<`rFPOLv^*K9+WPhZr)gdAiz>~Ci@7%sNk9$C1I|8HyWq_KANKv`VG|%x>>6>LK z?LBLqd^H(LBZcu@(V(U~q-YUbNA@>~UapFpZ0dQAh=`>PPpKJncl%d8+Z8QA1U$-? z-^7=yfQL!4iBxT$`-w3;169^h{hYt-ZH9Jx%EvRIfJ!GU**m&et<@hob-*k#W%oGE zw#{37zii8y>{|7h?`V@nLPj{5a9)%{{P(vSg0?dS%lGx3$69M-!e$@R(!3PYZh7|j%=Rg|VR5*#_xM&c> zCqrj0$)g@T4WP4XhL(wtkN@{rGngq&%k7B>jx_b*G6ww_=bA3s!n~4&+{{w&1W?Bf zyjYxncANS2v2TtXGeIky2Zc4uaap+#yhZa;l_=ZyG3GDKB zamN=^RU-WC8xCER*(YEYw7vFXVC-Km8tqYz+TutVz70Wwn5V@Tng-q}CtsS@1N*P+ zOknLVjdJZ&B(MBB7!u4#3t7ox54Qw8DX&Qo10d_Da z9Ypj4+#*E}^GGTfX{Fs)hv^36&12tYjkH94)v4z^2GKm#iFv+Htnya$jhz&GDZOS$ zvj=KI;Jp5Wd`=RaGK2X;bxjt+d{-D#CFi=4iY3dIL)GsMR~clW%dQ@Wz%TQR=CP*K zHT#&z2FzVwrb8U8-P-xP3+ug_t5>O9I*XgHPp|!-ioT+IXbDriE$P`Gbe%W11vEPX zKW~|a89P@hW|JlANh&@@KB7iF?hS!R5tL&S6v6Lu(+H)X3j%Nf%tWZ~vJh^E5yXBq z$7~(dXEd3Gh+rfw<*_VOTN|;mdvNEJkd+cffnBQVwYZj)+l5wQI4ex{XBYl)%friM z7L*o#hakYFUdBO8&);C}r4h(}gI``1sYV&}YU0^yTPA*LM+V2VPENd7nusqeSHI%s z7_YPV$oQDH6CeB1sgo|{y9XdT9`cLdhB#zgCd6@s1Oy(LmW_Eay(AM2Z>epb0o&r< zADO@RzbC0DKiLu|-&4AB=^kxg&JOWoA8R@^p9|}Ru@UDYSM<}lo~heQquApeJOBoL zwuiqXs!x~wYlP6o$$#_1luXVy$4Q+{Lxl%Ie{)Y|b}*N>?ICoBE)10XAt3=N z$#6u|_*LewPxcU;Lz1@v z8+3lD)}C~;j5%xamOPdO-d z&X=zE?r15C0g>A_C}uDuY`w&a&v!#xkmY9A^fJEw5;P^=L+X@9YVeT29)0tTn*JZY zP=>tfE|4Hmsa-RJ7O=m2u$6dU*1bR#M1>*5xD=1MdADO%z=|tvx1dI2AsQUjAU~h zRaZ(KXsk*7er2|%7_6ocXE=;=j_sK$9X9LDmA1kjc=C~GWC3^^qT}=$d8#}TO8Dx~ zrELdY(2)mq;+wqash{1qa97_BpL*QP;TA=gKjOIUmND<_1SKw0)q1*$0`D8Shldf&k_ z01c3|R1k?`GxGhx1jtb$Em_*_TWC>^A7mA$#%SMcx(1GgM)TgoiqZG!rnObC!6exq zrt>%DryrrUfoGv{(LyQOAImmGl_(Ws@+_ZAeKqgnOBI26vF}h4$u%7if|V%<@2`#! z_xL7>Q3_{GaF*O--;2Tp|300#wflSJ_UeP9*-NYFxB4}L&W32(S5QNYeD*7%V5>L~ zDp999;oHEcXg;*S_oti^4)OTIOXccV^Chrc>K{KqC!e3=6uoKz_Bi4K6u zD-R|Iwi^3?cZ`aN%RhcfS+RShDT#&(2DdOIM_pZ=P%`w+@Ki@I*Fd{Gi!lB8AZaLmaCE|MxePR6n-DHD zkxDpr^V27*zi61R;rhmf|HT4BHAVex{c+oUib$=wRgZlP%al)NSi9SAwM-o*L zSN~o`$(zge7utJoaj30)L7%@<1C@&bGPw5D)G=_cK3(Cs`kJjz_SGw_vm`bv7VY9> zomngCtF#k+1ZSF=HZzqwA_rFB*v~_0tb?5#N7Jn|Sb4K_f=&MpK6(vm<9R^!%sxhV ztlF0u!4^kjA$sHXK}%J#2cU&Rc0{+`u1?lV*_3-5?!4(0=7&-3X+t;uuv zm*S2RkB9P+YGw{ZUay1;@C(#jTz_USd8XrWI4}r-h+me+qJlBc>v-8O-pL-Wm@fWE zpaXo6CaOMaxYvDa_F8Qxb@ARZ!1j78urN#XNEQO%bM5A%629@OXjodCMypqy~o> z3GHAKAVAOfHFXs}T6YQ`AJ904Yz@t#R(ZP3Qa>TGac5Lyca^$HS*o`9>lHm&;acP! zEpxb-GOnSPtM1r4RxI^jN=EpxogIk18(^}y_e?!(CkHw#(NNpMZuOY^$Kl}&^FqAfj(oyR!_Y@DZz>30f?MCl~+(=50iVsr5Knex) z>%{0^J628Yi1r7*yb%~_W^fW;n?`&WQh+l<&-`J&aRKRaff|K)iJ?VSCx$1%h> zy3)mUQTpBolRsFcq+)X!270O-bxhcrG{Gr91cmTp@Yvu!I}Lxv;r83iepdz<}I%}3p=0Phk1YHgJkL|TryJPy)4n-=j|GBBrG z$uUwoc~cywdu2=A1_q&xr)DZrIKmw-cc}wjbVq#=?-J-X#g;7X9{5kpO8J6l%~E{u zA5kXvs9#cVUH`O2jyAJ~1_py0&6_v;NtXy=!J#hbIZfaHyjgXtJ1~OmVV5(XA6*uQ zMogn6V+52jB|MKN&-F2etHKjgiNwAqIY;boHH{pSE{m?X6h4C{)<`gc680SlewY93 zpuwoVsw7pw@fmYs5nO<6@{LxVb8A0iy)$|wUJs2_SvrZgBaT)G&*)+k1pM_QqM$u$ z8Ybke_TFssDRzE05d}Q<;$P85b{F{ULgQ)a!FgeXJk;+KJ|?6mc(DGOw=K6>$hOg9#;~@54k{EqjRH96(a^Y<{}TeqHSsE4iuGUaGee zV!l6*ZO@-<{}B+aeF4UBUgGdl#Q5p7U4Ibn@cP7qU%s?jRBs#Vks`~HNZ!+*Uf`(i ztTJ@)&F9>;o`kNBQ;CORQTBSvs8XdOD)B1)(UuC_|FUuLKrw}`_U~Ba4jY}k?Q6}gHpaPn4Vm??vnii8^3P~UKgB%y&zyz<*PYa z=7fTn;c1x#O6aM=uw<+|G=>lXoWU1(t&_MWbV*MB6?MYgdULa`$2vwOV(Cch`ypwA znb@m_YUY6Rg&Pl!qPeUrnP^ImAc~7e{YKOd)h?>%hrEN7B1@qjiI5E?rDL~*4VzY`R-9);}F2h zYNYpG$N$7g5Ndikp8`UhrP5g}oDM3)VCXCl?= z_WG+mGX|&|nDVO>hi_G->W64k4vAB9Zc8m`a2uLc3jzw2?bR1;W;@vJpfFKl37 zWpPZwnTF-OQiY_8kSN=wyWRI>3+`;% z7U_N~N9_|cHDdq0TS@W1@V$gSW{LbWyCeP}*OP=!hLk?%oDw7uQDsu0bHs`#RFvv? ziRra+y(&T0{JB>PPN?nb!KU#`VGlJRUdd8O^%gcZt~5`ECI!wNT~!P*SNIVra($e20^RQSiRTYZD%LOZbwi0e9D| zp?j;}Y`ALLUyNz0nYRgq2mY6aWyXoDvfJ?9UsC1Aa^R~;Ur-!y4}#5Lx>j8r4fB}= ze}bq!*X30iVU_2OyNI1n@$A+$qy@9HJ>hRQSdC>OBxG#Lp=rb+>F;2bvG~*ti@?Rl zl;-522(o&3n~IXoGcZRI_P7^WWi5a()E~cxSEn7}2jEd7j*(9t6w<0N%t2wrEH=&? z2usA#CFhpk5~yhF&7J}7Nw2Ac6xoIduP2r?GV>Y+u}}-HlT2a)>tb)dKOHNKHVsL3 zH`Xb*}k%qEs+}k_HS}3UapD?hn14Y;z&_T zqA(9FkO8Yaa;)jNtHt$hK{vaqt{dGJNgb(m2{b89`TliX(fq;Y>+x`#*}3+kmLD{Q zM+ThX1vWcgBuW>5eyjM9@#OkDkB>0;Z9YD3h)A{HuwRb(83xYi(|!+a{)iiCgZBE% z&#XGQqz}%VSr3FY+cBBA_j>;LLk?Zm z5+n+j5Nb2Wgg7OWsaBWTasE{rfQx21)V2>9dGO@*kG5Is?lZ z&E>S?U!P<}eTMrjZYrJ;44j~@-@jrRCxdB<>!Batej8sS zH6n~`KmUU$(*#`gBCmU@e+-%%{7W%Y)KXBiFtlBj)P~8kDqb|#{`&O9><4jL`Bc$S zAu!yz@dxXBEZ(9b%4b|L8Brf>#7m6LRGiiQcW?R&EZW-)?e5aC3}Rs`y`%p$^R680 z3K86;TlGNd2>GX*E;=wX^Tq1b!i1J#4Juz>rjxM~I)hOQ?@hP8>$&e3s?VUHOSsnk ztna5b1RVpTO8d)PM((#wUu4TZ@rQMfuv7cI{d>T#x>?>e$mbUrfMHHN4JCj6`E0{nNjZe*L94!vMPa+Zypqd3f zLaJhJt>Zv3)r)+U|MWz<^Ic&8AcQFq`^3}@;ZwVMRge!n9A{5WU)5)C{Fw}7RbzD? zAJ1@Ff9?*bBw}BNr3~l=LQUNcNS}N98#H|j%$8w$N<)*XB^5+Jx_GveofQaFiFJtv zR99@p^y)_K4#*#t7b4y|QuID+?H^C%F3qUlO z@f~dGU&2Z<($)pH-A@sALrxZA9OiDMbCaJPF7QpbFPtyXA{k2OZ`dm5|8)Lm?<+cJP~e&BP3zHge& z#I)||oBY5D1c}(;i{4kXMzdZNLF?f+ldmxuf0S0>s|y1m{d5x_5LfK~d3gkV zuIy*mqVqBU%qporI#9?KKJvl}--hapTPnl}|JOqx8JXMXD4@b6xduzM{W%VX3y9F9Rc1lLSLav#lWED=PlCox0%27IN9%B7XH z#*(D=Kp^DKb^TW=op6MxxHs6hD$MRL1wUX2vYP=)?N0Q3tFYI8l$Syu_g@L*pBFvi z)WYQf#a+r?bN-_mD)cODQ>23jXYBAS>EC8^ZQqcQ{?={-QpvG(*h&Jev5R5S~ct2=# zb_s-cQVLiq#N%kSkF3H|eDm#Y|~M&jUZy$KWT#Bs`h%fS7SZzlPe5LY2zrywW*$7O$)#*Kfo=Z6!J5y+z9T|c_B zZqBIu;S9icg0%u_6$PNKJ;iYF+$Tz~56mm6VZ&xw+6aGsm^Nj)X?D^wd1R1C%mM=z zIaXwf8PyzapJc9ZSTa^uJKW<(#y~CK!Sf29Sc4ifSHy|xWY6E6Hg;-L_#Uo4p{@f_Lx{vpibah*B&mq|5~F)i&*~c3hA>mnf)gBUTRY}G=1w(4Nu7EF#}6E2Oj2|p4; zyU#vz8b5{GeyLrsmr#4o0C$$VC2v*L?rGz0czR8v4XDW$cc+5u(F~kW~VF+xkgg2`dnMD=Bf{_~wV0A%^HO?uFsgeMx^r#3*iS=JKEV6UAr=P@^+zi&7q|>`r)HLhRP1rZedWnhTF}d~Z zp)_LVuUr_6ySh5R{mZaxG`1r-lHuoh6pWFviEFBb=9+bMy%Y|?z^BD=VopK%+)$c? zqs`RorP#}fg+~z`&lKeH>QH~_x{c<3JT2#gMdHvHS9T*}x%L0=(1BjbS5RWbo*5i02_Qg8@gvP1kU^uJX`^@w*WdSIeO?i z=q*Za@ps(??#ktiV6D!ScG`X5=dDjxf>_;!dwAZByx02mKjg%+e&>DwRl?hI1?#%zl-#FU=;=hx z;_#_!J4G@D6A*s7JYizm9iqkgirIt-zJB?`1x#RY9O#wTbRqcBza9c=xZ#w2uy_QsX-jshw4 zwf@fckjS>-4y}leT_@OEPL!Gi zWi;5?$_QxG6Wgdprt2Ap<JIeIB7Fy>0*Hh{T z(7eFR|5`CRoP?RR5_ADyVJ?_ML~+PCDe`_?x3ycJ>rVai&m zk>Dqe&!w4R_#aTEL;2ibTeWbDr!|+(H^|_%OazQ@5FuNTqGyJ^k`;%#>|(yd$PC-M zhvzQcuvD^yUUCAP-TsHj+VTKra=krOGRc-S{$LSb$ z3xxd?LC?Z{rkfgUtCR?v-7u=wgYOYc27I%w^r%;X0&#DFYCxEt6pHz!W-On^kc}^v zPz-8y#dvRa;JF>?yK8$6W1av-yl+t5f zQ-0Jm=UsPohSVa_j7CX$>-0~?ge^s>m*~gtkp;d3JtydN=3AK&_ul@J8NG59qG`Hy z?+6iDd|P^lYO_VwHLN{MGzH3PRI+sGw?pu+uN95Ya18O+bf#rZA<}YK+ygRHCc8TA z-HaJgBHj?0W)x0c2Ah^cKZpqo*B01xA+SYgMV#1=K6=l`^E0mTY#)*nd~7ph>3tVzZhoH&XohkqhbG#^u{S?Gr-R;?HJ z2Zk=Gh~qCj$5IX5YIUI)wuwWCD)=PA6>Xj8dq~-cz`rBM9Z(KZ6xXkmW{;j=;LNqb zgV6sL$hfNqIwZL!2UzYSMs zq6M)?1GoGi{sbq>yd{sV?U~xXAy${vyi~pxS^4yc5NZey(|D+8B*1i!%yqNa@_hQH z1~}^IfhEPeZ>1Zo_Dv zI-gqS`pQh5?wPW|a9Du1|DZOc z2S0CBS6n^5R*=fkTvd+%1bS@j89<>BN`&Qw)n_xZf=-szzCb zVcy*zzSjATZ{&A=n&3W`{zFu?_+<%%RO%R(eI#P!-98b;Vdv>&F;J^bu$S_q3hUD|X8r#9~5|ao%t)m(M zdaM21J7XH`E|6*Ejxv>up3wOlmGR!REqMBl$kq&NJ{T(TP;OiSo5~bt`X}G5W5z4u zKjo+sLzV$!%ZxSlD$)PigMFAj+M1c`y;_lbvu^Z*tJBoA7wyolYlIF#o9}dwwh}`p zezh!K@bd)zj;-}HJs3JC8E`{n>xtE-v)t9YR9f21b>MPOYX^C}_Mx9zKuxVg06`ai z%!D&8m2vqJ4IE+aV|W>DEVDfQ-U%n3{PXb7S%}2Nb1H!Ja00a-xtC+}2BZVP!BJp7-G>t>1Z+K7NC_lnva9TE3u5bOZJn4}|6WoXK zVxA546{IBM=J_T5bXwSdpF=$x;PPBv?8 zDJXusZclOWv%^ai`h43f95e17I%4_3CCby zfMxqwWP^j(37hnEcab2Q{Jhd{37gx|1O$(q$?ZMN5pR?!bi+aS8oP+NFSu)Ibx zjf%;3!00YZX|tDa)bl0h4WBjq%}oM5d#hg=cH8ZiD+^yu3efmnv6j+dE6~BBM4Lye zl=`fJ6vD*}OJ9Nw?dV_T`Cq;={iukM{xepmSDE%G{Rj%7S-!{!?bL$o%FpDD%>mde z$st?s&xINfe}8Rv_tG^pA4|=iwD?Si1{g~M!z0dsBip|Y0l*uJn#o-?r`x|%Z<#Jf zhv`H`H+(GQpy~{el1Gpq7>;(H5bD+7)uD8%p#5)VqcOW_h9u(jO5%mffdAoBuaxwd z3J#l)4H#DaP{O*Qt*orfOJWp=nCjwmT;^x8@xMRgu-Zh-;*Ns$la;a2u|6T^`d_p+ zoL?bQFRDqkE1H~NNuwF`ExD|iT@2FEnU6)EW)meBB|e{d%Dy*|zpEV^Dh9=$3k<`h zB`(dCKPk3p@+(+~gbKM%*LNY%3Q9c?j&Y3$iak+Al@e^=Y6chnl*=}(OmB=e9|^@cpY~!m^FxHc zbHi6A$|3E`T?t2MP<)W&L{{vtIa9tr#b$|S+Ij!Q2T$O9xZ{8OB3tj>BmGCX!3ms* z-1Zfc_UD8q5c>9L<2K7oJ?g;USkue49FUjz z>b8A%)(^FR=fibS@mr5}zKR@8sMVH_EL!&IPtV-M4 z+Zk&)ePIOqgh=O#%}B+5-!>LD2iyZL-6h>6-5`Q2DJck& z(k;@Ugv7FRceeeVZy|u+=*@N`{vu*K; z-O~40!gZ9gK}jTC>zPOgvd7L{Go%nOXOy-0x$f;)7>!d5iYtd4EWqk!^%OO?B)^1#C@hb1ZzlS z?27+dH?W|)qv^SQp=q|lo|{kZ@(B|rx<%4o6juCl1MvM=f#Qh{<=vMs%u(*j>cWi@ zd8${RKT3Xh&Wpox{&@9|X5~NfaX;=cupK6AT0<&LYx!T3Jc|66z&eIbKbdx@@?q!K zK7xb%%zC!q`zN@X#A;OA#TaI?#6_^`S9UGkcXF$%bHZqh^uK@ zjHfI$Fr_9Rklh?2ON|}`GV!N3>4I}twOb+>5Nvs9x`E@P7`!_pTZDgAa^4eGJ7UXl zj-U8k0n)6RN*U! z-;}XsJE>!2fJ;7GxH0p~ykQAl#YJNC*lsxfiNsm`zZ_wj-uO{mbnGQA_XI*3#1+RS zuoIDVw{1~?rhTW`zZWLZ@{iSza5)m8GMiry*TE;RIO1+PRqYaiB^Rw2{A zd|@80N680bzfj1!|It(?V1rF3xkY% zgNszvYJ&=9L*d_ob@a(taa3ku2g|!D{vlnU@;f}yK_b0>$MGGO56d&7%Xiy@>)>nw z)aXS)%IA}3e_H&S@0W|yv#9QVMjIx*s(~bO;LN{&S` ztE>r=INwPglPNE#I%aT~klRzD`x0|MqX-enAAb}%L+as69OsLPcnshP*V%{pAe#3_ z2?P9oNS`Wga`Sbrv|ZjTm$F~<2|Kt`U;Uscz5$1xdF>%1-W_6lT}LyhE9>)3t6wVZ z+F13?DCmGZ@9&)29JHFCGYhW0_|Lv$ndyXHKj$-kK_QaU;a?L{`?lAbYFzBQS!~Nn z&tOU3*AX7$>H>2{%T4NYkKacwTP&XvsAo%P=tg{k&*qdJl{qY^E?#|N9h(R9f6CUv ztzgOfTuy!m)~0vPp4F+&PYU#*gJnv$_XfD0tTgv{=LFto3frpYUIhra4(W&*Zfk1R z;-fYPK8b_O^04`#+N|%M-I#rZw@IWrlem7h2f#KA^#AzN-)*jjLUu?W zr6E1#$BN2s6nB^rKE>nE%K0?Ekm=?K?&$hpMg0tF>w|@S^01lP&tR?^7wp*P^8PR_ zl~5qVCFiUEtIQL4pnfKo^_3P*4_s<#V;IkQt|?=I{gXp=kin)98JNmC08Sl44ugk@ zlh9g3IEK<6+qCT)E&{>LJ-uGHaR2jkv#fu20$ZGpEcXyx3!IEOz?BU4f2%kZ&xeEvc)M~z%M zuxZUuu-IY(dFXR^SRU*=^%Ecxa5c$y=UO2)tPXYMhQvAJTHM~td^M?G`mq^lk!X_8 zn?@8dFhzH@h(r3GrS2_|{S)zf$e3$U5 z#))q(&}M@(jTT{f8@;<9gKNxm!8{)M<0F+-K>;NL?HnL{??qt@@(WH{SY`(J_v-Qh z^OdjdS=Nz=+c9?qUJAAMH7lpGnDngI+1c6A#!hB9@bt{`jVKB<>^y41 z>Aw!q`b~DDOj>8%qjzeWqUolfghw|YS49oI=HiFqv2MVm&si$)Le@D|=Tx2kg~hKs zxLCfWYQC=`Ez1`6>Q!5?^su!<`m=B|dW?^rPhckM!s$lgEc>Il&qp=CjOYB{-iXJ4 zy^+wPPJhn)ZMJtvlAryE5=3zp8YU+`Y3&^3W}D&SG)Q#io%-bq*HnVXU}rJvgyxm` zbd?|uX1cFs3S2MhLrI2&^{p=6MfUG0Gfs?}j}GPrTKgJ9!x+l8S0t3l?8@Y=r2x7(g&^p{ctycSHI;@=MFR@~E+oJ8 zH-4qg>|RmN$M_4gsHapG$ce!1Ls=E5Ru9`lf1YX2NQste;XUUa6>zTR?}qipZa~VI zkkfGf`A6M941ZY~NJ&C;7FCCEzL%RtgPm7-JIG5fDprgap1G7W4^uhckiWw2BY()&90D`+8?B%1k3EfeTvxJV*CcyVD#z2k>^lMp5M#XsV( zn;svj_1-H!F<@J+_s@n^4R_paMSJo~Qx-8T-}kuO{656wj1wMz*}DP+v$}6o(ReO; z8Dm`-&YhrB)6*o)$w$AgAY04Hp+;QwKu1i~PM?=U3~x{V@w7DQ%+E^^dp7DR{Ft8> z;!@9~Pqx!bYx2t1@n!pMDJQY-^le>U@k%U2z3`@iqJYOcrr z^ONX(;ew&z4_1RQW6<1LMWE*909P5VA>LF7wz5Y`0~#D40e^{`J&R%r&S_pmq?d>$ zEgG%o};PQ>Y?=mhhr_meURNA|rh}&iHa6sNOh)p5^GoJETHTB+#I=~~bYH(4ok2-PB4h)Z4NQRCfeUe{H zEM}Sab+9?!bAB-}{0muWszH@Z1#PhkBL_DWI6m|=BmX}Opo~aly%{$0LhA{<S&b{f)2lA!WF74e5R^XR;fy_+l`g(c4ihJb$d->EtWG|RAr^Q86Vt;XBVM@`1)ukjkD{7<~g>pbK3l?gJLGi%VUTg-b z7+d-t9?hXefqt;))VJ_Y@Afrjr=fUIh4(xq95BYL;kxZPAhvmpJzJU4)E(M%V+&_q|lMC;D4Zi$kUSQt$ zfM#Ii)R6jbu`K-_7}=^FY<7l_uZZQh>SD-t2ckX;qKO#?AC}jR0uG(STGmaP#4%W- zVdJ}X-KKzO=IZUjsv~UCR`!Wi^Djy+q1_JTdol2$NPri_AE%y>ghfUsqo?z{-1zOlx}|iCqz#S?J|#1szmsIEE~ALZ zdeet!Z84BSnkb+(SR;M5Pqn_k$y{sq%?8qtr5naaz*3(s8#J6;kCO65j7JSnuw7Qq z5a@2Z-!s}v0pKDhoH$af?zt2vN5Dt6op~#cKf>yh)PS6zh9uQGzBHJE{c#=j32Or_ zsTCw3oyEaN}kRr8H(n-oQt(`;yVtq

    wELS|x*S&CVo%yG8C zn+&e#0dmLSm~8dR+ijZCQyw}7P7QNGet9`QdzrSt`k#$1qLEX|3ZsfL z(tiVrx%9|M`>HD+4dy7b7u8@%4a)gi5@q3oqMIPo^H7D>Pp=rP8VGfs>ilXgypD7N zP-a-uf7#00E^yLP#?|th8S!^6L&MZa1dz#fMftwCYP0!Y4>*}=dX~M`{m1M}a>G({ zM3fVPM_%77^g7lKvsZq_87!w$oWFZdWX}Sf&5VuvV;#1nJnCcG26~k!6T1KjK+2c? zG4^;XNg=$)58)J`==H?ps{j@aPITgOqGM?#NcNi%>G~IJJaIj*0tjAip!`Z6*W^Qd zcKr+j?w@p1^9`pGkKf7K(pq4=pUF?YBO1%ja>()t!SL$)U4DT21t0}8fSpQy&T6Kd zoPD!J-=e=B$3zggX8bd5g#o7UMVTCU2t&afy$l> z0;RC;JIemq{Hilw-IrQuDHOs3>8%CgAt#}ov#LZ8fdMU6)aKZTb=91$Q1$Qn14luj z(bnqrb&}g==Bx$CN><27%+~IuQlqF>3gm#*jKBQ7YEtU7;k%=ZV>bQH;;sl?cKb7; zkTcW5r(geS1gPfMyJ%SuN+*Q|SG{MJ7mZW)XjQ_G{9&CcXc?*OWlqqNeX)`VL~YZROp9DQPFiR2#f16$$_Ng2-BKhbT-+2g)!20j4e6BsB4l)i}p3P9Y{D z_2Pl^;i)YO#NCKa>>t6}P=yqcFTrUaXCi&?J9ux%gmP^P*Ocj$oHAtGe8sZSE%OaNjU^%1LaW<|D33_Ldwf1@V%a zfa`S(z|XMzx%1tOOS%~4)wIi+R!cPA_yWSHO~W}*^L!77oK<5<2{+%HiSAhfv7_=w zaB34WR<&!<%=}?08?mBRpv7hmjy>Di zP2KT34)&*u9PBS>kNX}RJahdU82-pl;=$HecpMFPnxbcKOEG2z%CZlz$XW9R4C2%R zY6K>BXJ7x43F~^-R$H3Vz84+te#T9(3e)zky`#coso%h~;|WWV3aFVvgWn!a_43FE zvIaA4Z=BB42^Ei?aTtGLhD@Q~SutvQ%>s|v>v#I~Oh@#H3Kr`CK?+Immx0a$b(_B0 z;tl=*$ghi2jn`12d+sR&(ZKg|8QA?@Gneh*g&ua;fjZKui_Q`H;m6bNHbu?`%Sfjf z<&qg(p*g~JOFvd$ewLuMI}tVrOHpv|?!tKs877?=aY8Z^q7YS~na@JMHz&Zi>%kA5 zsd}dUF{}1=fT}J!%2ie#r1)O1i{Pc&=;P^_&}oO{%&6ZZoge%fDmEMCuuLc%Wub?Eugv}_Vddoe%FC7z$DSRPOVQj z5iU!8ZOJMI6vU75-for z@#+p3{kk;2o>zHQt=R&XXJ$0wOzCpBP*L$b*(`0phU}>-e)SZ#=t)!ea3KE{iTZ5n zM|x&F7y)8<-{G(ZxqWTepK#n}@c5m97C%6I$@{&q$G~#WX&1Sk$RmSypdsW5KNLY> z=H0y#eT#K@z6OnQpkH%*b6VZLXkF)$5f6S?fN%D!N5LO&89sV0I_V2r_9+W{|9#h6 zQMo^wYenCNM7?})s0w1zMqNX(YR8`!Ka|e{I;`{~1kixJEb%q(RjJ#nnY~^@FzB`z zAfKw8cUJO0@8W!_cAE3}ullNoRq6PMcW2eLo{#vPxClW$jmcutSy#4QsM@po-OYUJ z^fupox>@G`xvkMOvH{EsSva>}1AB4O&Zd6n=!?=0xnJfJ3nFGTB~4&c?z`_LTlCVX zgYZy|tkh>;p#Pu~k?0*tP>gR$0F`U~X%^<{%bd6*8A?Y9mM#1Rv<|;!F8C}UC6FZr zkej;vOb4POK~a9?V51jrv!&l+tnf6S576vR_8=~SsXYNDhOxkV$zA%+LRaTh0LNEP z_1K`MajnA#f^a3MJ)_?3tf%hKXbGK!5K|#jv{-(qIeh)DoPA&us1n)Txuq3d zv_5G3b-V1GCHfo$zV%F+xGj9D>IfR@*Bwv&u4y`HfRZC@2GpkZHkFnj*3wT-Pp)xy z;)~YXv?=gvsK=gFyu>{48cF9q(M^bZaLHe3nV_e=_!F_bt%>V^CGG%cVndYw1g$g` zi>)YV2|eNSL#^2g5aNaz^dE{z%#qxcSfrfNh8nM8fdZs`LT=Ch@F*iYX8S8Vo6N5e zoZq}niHCIhR3DW>a5&2EswU2uJX(1LS(JB%r7;Px3O89G(%F`7yk*;Jb0ii^XiXC& zegwS`KBl$4t;Ar{zOGK3An$?W`eegr46fxuSh7;jFc>5D9YE)8E^G2c6L@|fANFWm zmTr+nvDRMlj1vYkbWo|DIu<2mHm{1kX#TxyJH(UAZ_*bS$p7?R05XMh=Ovr+JDpef zeTg(kFV*bg4=$?kva|RHG@p4|SlW^L-Srlw;Txe^8Qem@htFBpXG-vnvdR> zR%Te{n*Z0#?Km(hRH{=vnsVqp2)rwoQ3xI>CVi@E+zhkLo?6cOhLuCb2$ib9+PPPL z=2L*{tfVSITy(%7gT1z8h6z=}^IQ6y{B}%I_(wLfbw^v+wV!+xfq4`!lO5YPU@F5n z@!D$*JzyUf!pkxbjcF9m_TQ%2`yMYX1c9%H%JH9{)-Ipe(ycHAZRAvSnwCPPZddKr zypOMG;lLNVW6}J3?C8+-yr?_|p&-Nf(_|ZBplolkBwvt$DS-p~kubRLBXUVP!)r6P&Qo(B$Ur!Y8rB_(1|PiL##uOgiU!+nR}JA&m8B5HHp z3dlS!xJmZvf2O$e!QK{3sl(SJ!%pqEeODJ{rYc zVXYzY!*;D{CB#X4|ishmh%eJjhq&*QV8huYB99$PbFub1dcBsXJBn(qff44 zK{%b*>w;uJ9kK`b_mnIE_MEd5fz%yiZ*!XiWcBd|m5z6>iBwZSeEsux9}+=}KDV=P z;TgP*)aZ93RM(vk)MdZdJ+VH(*E=F&p{68 zvNV$xk@0fskV5sF6+ZcoT}seUy7qqqZDZfU>7xb$-)zt_N4z`_A>A!o3wpPCez#RR z`J0iqlG0C>ch+e3-}Zj{zi>>{x2*^1xJV4Oq(&8X;dDYHDNy_$Pco`Ht9|B z(Xd33eR=-C1}%j?ofv7C__3=Eclsq3H$9-Hnh8eOE1LZjUHH?m-jZk}yXH1{Y&(*| zSz9|3ozZl2FsB9!-bv>yv0}WrP^&5$C8gA2ULEB77g+3(jp;}T{(;G3VNX|=ktZeRz;nKhx z6X9L{x(|i(CYUu`#K0aKZRux@P^mm#*H2BcA;_>xInc@{0`j5?x5f9QjVN}^Z z^8poM5LK+MINmk(&l_cNiff8ZnCl7-LOK!8M(2&TW$1WM3US@3SU|eUvJ$xnK3&R_47<=c_)fSV6+@Y#yuezo zuL-)?@VnG9Qeh+<{0qzv`+xNk=N%jSu^W;+I)-df`8^)-lnGKAF75I$Jh#8OAYzx{PLXinap>ovFPq@ zS!iKoYhr)-k_CZZO})1BWB41A!qzqZCU6ArNBd1y8S$uBjtNm%!_w$0mOp}+w0;H6 z_XF9uBl+H$-bKieGK{4I4uFwJp`i82}gQ5SlOg z>8pIw+vlKwNaZM^p@-T)6*lf8jj#Y_-rgPru@Bk7ogySUp5X1!c=gZPW8M%v%x^j^ z%HqqpBi-(l;-u2BMP7JJtn#AT``V$SUR3V&i^kMx$FUDx%AH!AGG<^mY*3b`#tSz* z`hs*BCzUSzv7S6Gx(8tA3n=-Bu$x$Pc#L>iA953Tuds%Uo%Lx1iBOUab;66DjTb2H zuWRhQIzlqOHnmPHubP%`f!lVQwr_u?=Cnm#kLQvsdTdw)6+4L&=GN@F~Z->Str5~Tk1C68(bXs;QUGqCUMnC)5HXR3rD%&e(_@#J`V z=S&hTr7z?nn?i1npG?u_(oouYc~;*tmd17voVVZaW$%p&Pmqn6n2im`blfS2Gx@kM zX%fyr88AQ9UatRq(mipDj_thZSK3Ri4(k2|B%0z!kHhhueLzDED-s@ejGgXFlGCz3 zkzHG_xbp7Wf$r`2yYHwmah&b^E+WTY11?y*>{4le*=^%rMx3V~vvr+Jat_ihr9{6_fW_o5#2;;{*gqLZDxsa zwj-0@$}qrI)UZz0CYp%=kPlsbblc~Lkz1z-)F_0A0DsGVEblcYR7!pn2<176?P%zr zG~6tW?Zq%4CXGeU-4_m8ne+2CUuvR#O?lrPG{e5>1wZGoXy7k*4uce0F|`dlMi=xr z8%(PF>Um95)FZS`8!VIej6hG=29TrBnHwr&Ue zG9dJ)-3ba#3-r5^KGhnCefslCme8X9w{dJFTyV_G*ro*47gY*Ih8P)YKNn<)1vC-6 zgjOS}OORRQKr!J)QdKN1M(U;mjL+R7~fBje8_pG z-_T(H`-~r*Pq1cWhp)LN^~*PKrpFt2=VULVSdeq z5vxnDde#Y{<0#DB?uf%55Y=i5!-GFAff88VHY?NK<15X3TVO;tPw%J9q6BW6j;9+D zj}ZtE=88OyC|*Q6M8%~0_`|};8iRi=;E=35tZCA*V>fLfh~k(e$l}sMhJI#w;~#Fh zd&~WEqai@V^WClxKf|>we|oQ>UXK-KtbI|{`Os2+)%>T!7gv3?XW4wWhi){7a4&x*GN9G7TBp`bn;No*imbBcmL5^ym*IM#{qVJTC6Krt%OY&&w_GKRs~IxL=|0O$*?aO^|Rm8vii;SJ(W8)+bBMsm13e zv!sUZ{Ee*|$Y#1E$-S~`h_Snhh}DZi&&~fDfJyd*;*Q>6y;#F!z~l1T0HM9UJj#!P zgCBR^FATNYKGfTjs7pJSm{_wJS)eT3S!`1~R7RTbEXwK6BDnrR_9uKN;QtCS$zvbc zPN&6&ibtS1*x%}(?M%)07D?QMl@YC_2}2Xo(-CZ76kSzv@MGG`UjTLj9d)QV2us!l zaL8&?K^`4FjD^$bsw)F`fJ2j@d{3m-V>io^tgPPugDUnSTS^m(_(%8D8&55svU6>= zjpuvOQV1$XYOF3n83&QO!w(r&!~&h67^C2eAr`FZ3^vqDj=ax>5{DdiyQzG~)7Rfm z3_eu2t4jQ9)~KPSOr4F~^4d@By8J?#E;EZD#XLd%ie1D5#aY1t`+c&v?@nk$W5ljb zpFxs++of4}6SDju$R4;+Ds4thqteqom%flW;rm@Q+49E#+E@MZuIL~ z!mMI~VWEBCZBgJHD_E>Nj0CIyQ7(ju~n~Cs+e@UHsLX;z`4#FrGyx@ z@72>QmlINDtj~~J{GAF!>tnW)rDf)ai?N{$TP{X0+Ojp?zeEs7dB~t^k&l7w(H;%b zz9~Y)@L(NMAc3{~_NEWV!~=-8*?}%xQ)PdMoBEHbLvW!|CHZk(w7?;e0m|E>fiG`8ok;DT#cGojm8FwjNFk?4D z1a*=6dN12qn+}Cv|0(P9{rcD@7QkcDef&8~PSoT>B3*95IKd3MSn)ixUL5!m%}dl& zj}4<>m+Nwes+}^rMlK7tcCld`x5XA@+g0)8*$ZoJa^Ev4_B)B~I zU6qB7wX^v=|IxC+Wh5+8Hq0*1A69(>s1I3>CyI=OSGAx2>DwNSw`KtQERit=<^WF$ z%_od0VL#XtK3E3{1jRZ_?=PhgkzIy=BCpsAk<|Z@4pJ-Ju;-}Pq)=whVdQsyS)@nd`El^ zLH6j?+r`mBb%nl|{vnmDtZ41V*uw{9k#FU5@8Z+7v~>AgoDZTJY4js*792ELxNVqE z8UC0&%QnFg)BW1l>G;px1K%^`aaeN#14$;6ZHU_Kv22dJsYLHLBo%hslJeW}?nf+T z+YmDky0^zBCLeNneN?Di#{184qgC;Q6Vd1PNvX>tVeNqiNJUp^wWZdNt$n?Nva05= zdfhdTJHjrpc8~pW!Bb{$lOu+gzaX-4&rEcfo=%%5)(mVui^@%Jv@JU;wck8VSeFyE zYz}10@TKs>{07^6s@iV^kZqd`do_by{3QNUVQ1$_5eyt2#G`(T>j+KwC6GCDhOK!z zfDpVw6Wxujp$lGi9nmO#yjn^1%-^PS2=_C}YAiPg8Gy@rdyVBiL(<$kC6`V*oJ1ys zi|~IId-KUbSE;5W_dI5up*qBw-u;S(C}#}fksJvh}bl|T|0V)JL?eo zT~SZiOJ^Jj!WPeJDbuWRo{zAK@9v%@v9@xt#&K3<*y?SHV?v~uaWHU5@+jFs+vZ+< zZ%AbEX}XBd_~$_T3cUTKTBT&g&uH<|3LCW(aB1O_7NTt{s>Bie+iV+b3GJZSRF1v< zC_%DoNa#orP{(A%=cCHk8#&(=x>Lb@kL?PS8_*(6Y9r_$AwRto0igl)Cw$EiKNuk{of?V z4FTk8iOb(+h-qWbMH|~xT|G{!;l4=HvFL@peIS(mU0Q+v8+&86?@hDaxeNr|W68cG z6ZueutG)#>d>7FxO|l))r1La9Suaf4h#L+Nk&RC{5-7(g z6l}=CVg$J@T1~L|YCYVbv901P3HwScO3YnFjVVC75eRs@n93I@F~Q}lS1Xn;ZqAh$ ztdzC8{+#$SCzKF2wu$ax_#L%e9ojT0WtKXoF`?{!0A0W-xiy;m+`z%=KcvqJe72^P z&^hiCyPhXzrsc$%r~gKto{}uMQv}(*ajL5@Z2AcGc@CA*s7&c3;nh}DOa-5>1BQg{ z-vjxYtc4dTgrxdok3?kz<9>EwJCeZiiPVMWRX793_UqfF3A`ZsjE;v-HO-{miuVt8 zD05_v*)8WlM{P^3d=>X%71#Y?A74CUu$$jPIN{^>w~mbQG79g;F*hinYGy2x7tUSu zHqX-Y{DG1iS+_dg&XkO-a)v4 zwpiJ``=KfQ1o|lV$bksOdf~jAc1RMu#LE4Yh-H7NU6!4RyrW~cJ zEn<93(9p>nA5 zOF253d`kd%4&Iy$(t5Qu|Gn)D=aH6wZZ1Qifv`?6)VjYtnUTD!&TnjDUQfSEm>w1_ zMfMvk97hf^C~n+Ua+#p~Py1yd1P5&lHvgOn3*1yx?Mx$ri$7iFGh6i_Ev4_<_2xqcd-E>nT28}#r8j8hcl8Kxl!Tn!2k6t9Yu)H%fvg@bu`hr2dEN=2^90t^2)) z0>vS$3h$OOi|vm$$BI)=i*yL0b5nSCVLgY&dMcxte+Du4;AI*kUuS`7gahSfz8VFc z&y<<5*=gMVU`cK0wz0xAXS@Pe zhz+Un2Jv!GVKAa)jU97&Qt!Be%y(e11Qe>AXKD%{0&R4~$QU-(vuFBp!L5H$ko#tS z&S{NHjPxkm&*ORc0(lXkxRiat6@sEsO0XO9yAeD!7Ez`bd$_%+tpi8($-jjpQWsC6B26_hOkkATmGf4VOpA8ir7I1_^%8u!T1 zKOdh#T9%&;q73DFt{Hyha58dk7e(`-Pm`h79ttdDgbIv*bM8qiOA(wYA!+)|KR%04 zhEpsE>5#Yuv15Qu;Njq`;@|agt;5Sz8`~9A#^q?c5y&UQQ{au7XJ0+;0+I`r!Xjfu z-nl#g4p2U%M`x@>UIF0)$Mx9=zbHXaZEzSV;Km3A3G)A6us5y8_;>(MM zQdf%zt4U`akHgqJB3*()@S6g^!AN-oJIMTYWE6&nVE`T--mp!{vLoe^jM3 zVfvBAm~AG5!o1Eo9W|-#IqcUi3>MP3l+e9*gbk*6Ou;)-KaOy8t1Wa~tne8U1I#T9 zf(9_PuzehRWyXD8TQEDLIU@<`&te_x(XPEFsUZejreRspYT9K+GiXJ>CbFB*hQ|E4 z6?I_6aQy3&mmb6Y6usfR_}IO#VG`lf_nl)MHO>DlY(^e{VF-c%a`1AsCBeBcrT1t? z4c2UkpH@s+xO4q5`x(DSkt4UhX_4!@bgGr(xpSJ-&fW>3BQs;9ta{P%y_u=ez^(ui z7r%{_p>HA;+hjR~XA5>=Ccw~P5=|U&H|>WAM&pSf16ZGk$dqZfYdz|g#QR~+maNLN z5-&q$WykfnH+hYgG#(~jbQ3XdIfX#IVoVEW#8}*1s%L%f&J-ai-Xk1jCEpd_8A_x^ z!GN?USrJy9&c_DRxY0hccNKLh@@8E|?lEteL{oTouqtKw(4NGxzVu zR#G%;h)T6%v%rLL=Rc_Jk+%Iomt`3;hP_IvlL*==HEY z_`9+R8z-%&&IDlinFdvEJcSW3QdYlNioX6Z-#9v@MCXJEBNqwU$$68IcoccSVZ)l6 zKpW>)Z(h6%YOJr%00=j!`-MCF3;`TFWX&cMX~rRJ*8khgph%DDWFf&ambY5!{8O7Q zO31y@!d`|DS)7*Q-^((x(uZ6Y!J6st_JMiOV)p;Gr3`@AJc zB}Ow0<7?{zvX6&x1q7j1PSBI&J+3-did1T@ zvIwb+fHFtLPEdpniNXOkWk*h#>q&@C`$k+l3cO`O6@fZLY2kB6O*< zjBkkLj-iXogK*7*L1Ck(BCDFt4N`}%*SG>eVMad%PdWdBpb*UxbfW(~iudrZBzQ@^ zY#zPl3Q0Hd5`_%dkfm(%0A{k1)-;o>B;3D$VLRh+(qn3HL1xDZ2$Ws1q4qkvb zo~SK@NNkcTC{sh&>`LrNwos9kU`u=`{)zl@yLiBA2p=(^(c6FQF@9}dC~-ggp7`aj zGQo?r>V|ot@NJ1fQGFA(IpwO}s=&LlJMkr~^5H+74ZNFmEP31iMA`AR9gHGAq_a!{{OjyY*s|Om#W!%$&by7F_a(@m zPyW|)B+Y{t)>G)UmrLjTC2mJ%SghJ|j>6CMoy35#(y&1LK8C?ctOUFd&FLc!K%*F~ z*gf+|mjB=>JvIc*Jy+JJH_ZhBONqTQANdVm)Q(ZPx{I$M8y@` zSKjJ<0DTzSS$Biff;SX=)Rbq0{*@Y7gt*S+dt-}afyxsPp>e+u(}4ZVr66pOuuOCc z;|@YU<)-BsI*!zozGwA$G0ND@xzJIXlDd1x=!IdbP#KE(7qCa|C7GsNic+a7kqtpf z@tn*z;^h25h@Zji8|4>xaaAxENS9@W6B*8Cf128V60BTkC zu_Ghl;c@LF-=2`;HO($W7~|qw8F@$yY$GubOnGVF(fdZNjoK=Q=q*;4~VIlF+t{7C*rhW8y>8L_FTTav_m z%6lTI$OLTLpf%C(P^eTP!BGA^Up03WzoIRil^uK5Dr#2+C$0urf1F=FE7e3 ztZ>Gms5zBvK(8_;5u$3EosC4`AGt_?mMg+n*Oun^1J^4?e`H9)I@z#xhZfweCq(MP91Q3_KA3`USU|<8Bn#O;xY0(G0|-l6z74BmqhjZs(CjY9uTn zcw>nKYj<^(&Wi%w>h|Mt+uvG7EE~GZW3-M=t*>C0o?^UYWYypU+`8glqXW$73Kwcv<3j)-~V7+`NI+WN9!+3bN*R`PO5x7+Dg= z>K^jtRf*bwp)3h2emGGBI5CDip^2Y3g}cH%`G9W7O!fDCYt)N%`oT-r*+-Y2#{LDt>`y%K3y??$yBXBI!BYEMf9=CoukZjaALKaO#dM8?LYM-YtuA-t$cW%Q*=t_j-bdxg z??{iEd=|(S1qx0bF=Thupddr+`*!}c1TW=_kD`0CMz89#_*J5-6~qc`B0TCaPH9cF zxv+CJw25Bl6tNM_L8hx;OYuXq5>fne@Nz1IH4nL&TBZwHvBp2W!AT`%e#+mj6nbYf z7q{hdCi}tgVz^DaKGa4dhNDZZ;61i7n1~AbV~+o`sxl5bwKF^y=xuLl%9_zzqmv|9 zM4kefxq_+>nj{e#A_v}iiKIMtQbFjruv!vIh_>d?W(AaS%Y2L zCnNeY70da%vSEkztte?oMLpGA8J-l-b&F+&DjFz8TV-(M?>vu61R>W$?pgdVtm0qW z!n%I@1sqkcdM;Qtu)h!W|B8RUGr+BZ*c|+J9lc1RE-I+XOqKgzmNZ|Yx zUf5LEH!(g5jtM%VA!q?{vnFFqkmX9qEE{9aq2igEk(KVR;4Z4cPHt)nq$+n+7qrY1c&X;}ngOW;h!>EXHIPhYp)pNmCJ)h#KgY~7EaJt~ zYLjGa1wC;YEv+PVlt#_AhgMTC8}{1c>Z1>&y))=5`fyLlMo))-`LH?}5w;|jMRq1i zqW?N536Z~FQR<;_`}y|D^C3t2Nl(ZhR_f(bdQkC7_w?5*lsKt?&=Ql9BWKvU8|I?i z!Xad`JNzA${C?gb1H(Wjo5oY~b@ksUBSLV~H2mSnOt7?%(K4-UC5hpH>*1O8!NkV( zew3M5tmf$!#w<}IErL;zAv>^;h5F)D?w(QzPe{d|O&wJ-6spT8M~ zj99bnPbv1e)xDKhq8~8a_7bv55xPfC<1Wy*H0r+)8cVBwV;=w^l#*IVx{h}V#J&+&NEQfof1c{PJ^_b;KE=v$9YX)9Ht(Jg^^?+u-mH{htpA zTws7fljpV^v4n`7FtYmU(JuPy!?f0qEylU0JywWqI|SBxBvvkaQb>mHx=gzjd2(0r^*R-C*BB5@?GmE77Y`M<75pLd=g zIYHaZc3T8!)1m{eMRVSAQ**D}w;F2DKh5qBy}TtFufjPx?&^BrPlq?_B`V9@uWE$8 zSN)r&mh}=y<5>!ORBwoezmU}0q9HwvRf^$FVjZsy(d_0PlElBhKDI1XUl^AH>B>7` zwpf2!?&+lq!p*?Es%P|`e4YIp3n&SVjhU~72Cd54*n{|5>$9Z(rfG1NKN%G?=6}G# z%9(%%$nw}@vOi>sVlov)^y@jRZl!Ue1<2+r&AoeJH%SDM>vo3$Nz;xTwTwyLfW79yN9l;z6c*4a+aK7AJwwn<36o0TsY zL^>>fM~fKA%CgS;hIG)Q|Kz_K(CKe>>Ig*?MmudzC5C&CA&K?$g2(~|W3|!t@>`U0 zR%_p|p*x*Y&fD>EnU|U|JFqtgXLWb+G^FeF#7jRzpxkKru#p!4ZJ_H*n)Z>$N!-~| zX=gSR8i{ly6myVxSpUEVL{Z?l3*dDC)Sm0hDSS%TV-0`=qE7ec>-^;1n;a<;Y~T z!SnYUXM;krPjb#%r7F6BpFGcn;P!2epk#tu#p%;D>3!d%|HP8pjgkBZJs%KkUBNZt z`$(lJ@~g_;U3wMti?0=3envaur_uJ`kx7%$d~@L3-+OuipU7+Kako41o$chg7MsTjXa-75P~Wr zbeZ@zg#>;W55CSO`w+%B8ts1pVk|OI*UOWjN17H#46aSjy2*s2nf;ZeI%ff7Z^rng z50p22pTS;cWoIqRGxB9ho&bvPnmv#EpZnGSe0v!53`?7xY4vt_#+K!m2d=q4GLE4U!?#ms_-s;SB@rPSw)Ed@;llx6G>dU>ZSp;%?PDgu%_@ z(J#~EqTy_04AjGPw=dq_3EYzF#>3tycykLR>qJ8I2~6@%tEB)QepruG!?_&Yn+Jhd zMxM=ghr1er1}+C0A@7l`lwAFFcMDb`3$_-ClVlrylagD&A2oj5JIz|-U^Yz`^gUh> zmN%Pm$vO3DATRHS)Z2?peyDpfcPhXL)eJ|pVX`3ZE@O1n?wZ{T9$nQ^pBr2d|A9Y1 z%X77?Grc@gVYpkx%_m0x%454wbH#V(SvQGCoedETaE#;_4%|OG13a(m{jWb<(BxnfUaXROlw>9byK+AWyE^$%mM;hmW^)VR zxuuWN#^J0I`VIO7JJoHEKi2lNM>~wlX)9c}z)tC#c&JrlXo)$yi4UOx+Ln**+cvjy z#5k!APE-Qp>v!Y^wIB_y-C4ON*@GX@UKEJ(#$ zH@h!Pw$K(z7iLaIiVY`t{#XClH>^^>#?<&b*#)rfsn;Pos2c7H8B9G|8U^ zxS%oQVZRZ+=)TciKo5Cmm@!R6HAO6LwH?ERQDd*~*QWkFyqE@v~VORB>wpw8vhX>>Hkejuy{at>*>ybJXsh&*B(j%frS=+(E*3Qlap9rpA zv*8wP9lq}^XHH4veF4(3G9!+@z#F00B+9|>7?@Qrsx?L?Vks%^*NWY0-;Phm2Z#|U zjp;j8iK66n+02vPd%xT z6Y4aO?xoP9;1)7wT<3VP4d=|a)dQ*tztHsLnRCXTmH*Y@ciM(P9kbJvX9E-9=wv*L>8!SQ`nUHLr7 z+$g`aWz7H20+?x;Gl5FG5#)G*;#?_yDW?e}m^sOrr#z(erJr5+WQ*mdojyg|{H!bi z_@D_syq)(P3}?l!M$G1`d^aQxGW@Pl0so-84m@L$PQa^_$bA4j$_77GM62v_GJU$V zzMZt<{GvX~mukh0lRBZ^O#*LeNcX_{dttPE$g#k2-zS48C}XByw>JQOU{ZgVY9!2( ze9mYPJnWb0v0IhGFnX!^OE?ISGczg0m!M~o81umSAT&+OmWK^N$W#-(1Lz?>NIXpACTXM=Mn|!w7rXe(DwjU1 zdhbd9P@UOTH?{67dz6|4%Yxu77V`5s>;ZIRXv2UpW9&cS)Sf z@O!vkjEfMT1Et%d;K}ixabY1x4<`17Sbx{&K&v^m%k`x&6)$_{qsGGH#K=5|+DHQ? z_(TE4Tj~P<)X+qt&U%>qw@CHQs5fzWzi*k8BB6)#@!3UjGFk8JN%WV+t&}Aa+X?Q~ z?oaOO@u=5K!T^v4Vn)^Leb407K|8WGpRChdj8%dMl&!y|t%SB|WCqnHdGItr=uGcz z@HGZF8BMlBwja}BKEhOemJS)w9YN#c^&@<<)ISuW2)%GQ6CzzWjJ}~CH^Q{2k@fUp z;o%C>Cg^$K2SAbGew@gwKNOI}vkdTE*vB zIODl-`~*KRWhEvOB1D=qzu^Ys$O~Ir9K&H#XyFghTec+=8h`J|GU$UCx@be$%eP@z zuGMVX6v}d+k00eYa4s@M)u2>!w;hRE_?iG(#aeOiM1p5SEXbQ9&1VYlSttTqNSv=H zJ2|ZeB^ZFn&2di1-EhzitbaZ&Mguw%g3IXD^>tTrHLd&jKdb3HA|8GgL*x<k8eL416^mtt4pG=! zi_5(XcgzFJHm9T^C-hV?E0|(X+u~`R#-Iq*gWEo_bz{8bco$1$cf@s7= zx_mTsRBCw!P)AqY%ZIdZ59zppQ^!e#XM4={i!8NxUYIzNKIun9U(k~?6Wwd63z;#9 z0jCd7&dRWXct&4ddhfV8SAn0?s~4QArR7hcvKr_lNu1mC9pEXw7bse?6FYC`$Y~KY z(Snk;MF2vY(hhrS1Z)P;8mI6S<YMC(Rt_17mrV&paONP)6f1li#SZsv~gQg zK{oHbB)-+HTGJ~`e9H6uTji@})aH{@{?XM9epWAjE}l1UU>aCuN|!&M3eG5h>3Z$` zQ$~9@L;jUu5QJHMQGRtsZRObqVDK3rA7<#1q`dy43F(Vg?$VF9x<%g~Q?Z_azRve< zEKZC*|K!B^KLG_qcb;a#8c*W>T*nKX??fhQ?~qo^^I$ap8t};8^PA?7W+=$>-&cMA z#0r}4Jt49C+8Z18c*>f|V@yEjtJ?VQM|UT!b1T-$Vug^)sn^a;$XEBA_Co~Ue2|JS ztn(FHSfM6BzV|il1$;HfsimX_+XUSWpW{!A_F@K@Os>St9`#7*xwuSr+@u^N-EIzt z&5sxc6%8L{OG61%6N3e%lu-O#CK0S9c(#70UavnE@AY3QuX7+z8wyb#ksM}Mx9QU+ zeOvJx!;8XqSmIS1)mxS@fV(?Hu`KIDSoRO zHuAXBaCT+o+GWMIXM$vJ!&J08#_%xZB$@l0M*kvav_6{Q!ShdfE9++2bjy#Ri;FOy z7o%UYD&ioPl5<*Z2okOa=tAw;?ne17VGWMJ;L<76x6!X#Y)k_D9esR`&%!-xQm1xh zZp1G@$Ww+zP2psEO~<>|wIgps5HMkuK7#*y;Kt_iDs!RUhE77mxj!ZB{tc!cRif)1 z6IBG&uFoH&L4{*>En$?R^(ZvkDk6$b2(#vl>!1@Ao2jpVu559YulBsPZwxs#_A?h} zK~($>jFZ!ZB0ji*cs9zZJSp$G_5FYkWv-$1=Vm7zH_xX)jxZE@H>4^fCn8)g%-Ho@ zF2{>85Nj~0U(K8z8c*E-k~ImjRso`c_@9JwG9K^b2~4eE%s*;k5m1Ytrj4KwClLg?93{o2^QG)MZ2s76|HOI6RMR*?w>8Rq_m}N$FGbkQ{^I zM=^Q<(3gN{h()qyZ=I4d(|5RhWrHLtB?-udrz&US3LCv{E@c>NT>F* zr#RP>yO0Ysc#7Pu7;p!J!?OW*a$9|K47vKO%_ew_3Qc zDYm_Xo;uxRA5(n--L$u%iRrB2Qs8MKsK?+*F3q|5~V9(HzoqK_CtE@+H77Zj@eJfeKtdB@nvAF0< z;y-J7<0Qv}^o*-=`1#7a_HIV?ma`-EJkid3BT8=e^(#J-Vu`BCiXT+(LJy>{F@1k; zoo9}2(`UTgx#gD*6g%~Jf*sY@U3B#__?rJy2R-nVI(`-_OD;}CvrZo^lwtIfjO5hh zjs6QkOYORkV0Iet;}g&@o2FP$fa0c8W8%U*ikF>wFYY^!enQ(Dc{`bp@TP_5MjlO4 z@#~w5ao3pl6S#o~Iew2<3``0A@0K+$Z>aoFls+oYy80dWL0atWe6Y&>0q!0hTSnF2 zzAPT;iA zJ5VPlr)gVGxgmr7kGrIpoQ#?UvR>EFmeJ(tXQ&&1p6=yn&V)N@os#s|mj-BcDV# zZ`5x6dRz9i#mzz_klX~U7ppzt!GdG}yL)Cf@JKmNwo4wx&PWr*NwwkX z{Yl&n-K|-!9fg)s=Vm_KJwTlI;F1yCh2P+1bR^9zIe(0T8tYv5yfVYg_(q{A4NU@b z**hZ8?(%h7<-IU=s598??qe1T0yc$RGqNo)PSd4FXsnZbVIhf#yE5$pO<`16&>(M@#gl#g`YkC%|MKk|~(&{Fzu; zv~dc#jZ^z|R_o15o3yv)ABKyaanTh8RQuC4egw-pW7~;YC)oC7Z`Q!O|6&onV9M}e zzRYy!JcV?|P`=?Dk?I*qB~~0^Iy`GR!!WWQ-Z5~r8ki=nia}9|cPF@Nd~}jlZDVYL za#GC9L*s!uD>XAo9WNC*T+JMGCpvK_OW1Dg>M!Nw*R7S@FCyXQbhji0FMz#&t;40+ zQHFMNTjM3vCcJxJ(ec4Y>9Rg}2J)*eL-+5mR;l^ZV$a9}lGS=eq7msEleGoR0efD% z>U(#-s7(K*TbDfc$jD^j6Xh#nTO3aLZ@kdRoh^30fr-y}y2fFpx2xF)mHIO(jx#w; zM`S8EFn_xV}Z)e{>9!xR{b%xZWlMI1~u*5Aq%IprXv5ORZjBT(;B zw|weD^8y&Nk+E=Wa|pd7d00~oL;KVZKh2IA8T#*u-cg1i5|=m`s&vjz+2V)Vj9s>H z(boZORs!vt6Ox!&#U1y@8TNKB6&6kWKG0%~sQ_wOHv)yt;}-w=(dm3v_<#R^1GYCx z9K5#0NKW3!I$dmYCE1vy&F-LlbukbKIF3VYXsV&G8pMM!k#oo5)(aAs#zhF5KVBsb z<37qC#C=2~DzkCQHfEJ>@^pd#?aepX-7WW$K%^gp^J=S`y21ZmV&D7lJsgf+pjiLz znQqyEq=5;Ve29pb3t@Vx@QRH|^wMlba`@HUPdCNwEceb91Isk_xgj11nz00zSQ^xI}y46Zl-<34u4QOuOy zW$U*!B1R_hfb=qZ6+H;QeX*-p51Rg7Jyg5;7w`W!2Ni9S)m#(%ymcyax2T0v@b!pP z&ehYApQgSi_4(oi6LP?X!D`}e$t{FHrd%m(d@C=fcxUp!eJe4wmFvP5wfc2g;+#Gj zq1N~PndbGp1#x|EGb}W9gs~?rtG5tvJjpe`UUG9<$aKa2%6M%MEP>klOGDDNK;>+| zPE}&$9Aw7Tzq$#NX`uAb_LGX~;u&tiJU!z?MUl^ZAQSkR-6hMz%CkU@QQ#naD} zHJfUzUlM?mD(|@^=Of`A?0K$tWU!77$w;<%k2>Bl;O3|?{M+VJ4r=8*wdc==fJpZt zvj=Kat$e3)Gh$-TD_Iz;49`gTpqm4+LgY_l>i16R#EPP>Ly?2M;)8atd^S0IK2Z#s zqg!LJ9qUR$yD6;^77qA>q_gb@O*?!=fQe&gKfTwKoHhLD zJO5~P3bsqqCJGsd8;S0riC^*Gb-3_74C+d~TF;B5Xu+pQgmnK$)P*|1|dk&D_^_%O(My2?hR)g znLev;2_u2<7R~S;V)_@9L^ExtVIgdBQX}n`J%l?%5_Ez^q)@@bi9s_r+Kiky0Q{|g zRLwwza(i-WDC|AaK&H_OmY=RG$J`WJ@ov}0jhz;IapsNa@*_l#+!H_w+63*)Nr3b( z5^OuM+TX(GRSWe1L&vg!r&mjk;YaK){X~j`QWaD3Z0&=OzJO zmb;y$7^?(6HAebP_WDz^WBCx6{2>jKs`l7Nze~ieMa-?DYFQ~NnxJI2h}71lm4+{1 z=@gqP$eZfKWA^=YHLq2JrQFX_;#o(19HoZnnueFE}%N|lQ z3u-MWXsyV)4YAgEZA_{{6L?AEbMM-)AI9-Bi;CY zbMhM83Fc7sYyVkyJ`b7yiSMeK7{5||yajSOuG%!De?i>8X0rBHClrlFW9r0;5nNxY ze`(m~8&nBLOQ3{#XT{b(2UczN9tGoYdUXzR2|016z+S+l02<5~)81a?!cE=gK zb}k@u({^#vjMwUy2ZF&^YKhRk)lyb;Yi`bF(iT4Gs;b=lgGKyWM&OeGz$me#*VF?I zemooAOTmzC+=r?`{%#GMP|Aa7Hi6qhdkbks9<5Hc`H+Gw7PV@XeH_b$It_8>CRP~1 z9lv^ut{W+I|KFMNbr1vo45OYh5?M6#UNUn3gPt7e>c}F!|3qsn``~xzd;Zb+d~lZ4 zclZ}h2(L*MzfFKXTcS!k#{}D=mBB;MP-Xe@wT;=yF~ZI904X}p#-57MEL-?*F`@67 z(UA5{35M&8D3<>smD4e^_SQ2SxlS8yC09=L^w87v5?5Q=EaT z?n$ZpvFVMM%0bONUsQ%4kS^x`K~xJzpRR92=1UH5xr)Dc-Ph+EGKmQ0gkM6C=&u*; z_K}XGOacqu=|%ygG8nvDy_WUXlY-5tE1gWbmV>x9Omy;WzU4~&K~>GB0T@CcrqU$d z)L%22b3FqU5tTdMt?{^()5M+hPQ36VMsFom2x?(6t9Sjy?b!6>gC^k}X&UNpMQpubTWM3(wgUvkR06)o z_2~;%yEhpf1=X^>CP>b*=`C!8lfGXh{R>eN@Xnu!RsG z;>@u(Y%r445OLFx>96RUC(30rfnJOg+z|^5)Io|T4Mq_sZ$R?18*`2PDmzkp`sBPk6b#-cy^cWpeh zHE&5zb>Qnn_1yjaE-T}sr~5sZpQZ=Zr;&Jx*UCp<+}5<|vx6<{wF<5BcEQ4vNUk8( z;lm5k_?wR2f9ziUl!C)FX-{j?lV&PZ|tqxM@*sh{g~HgqMpAnjG1 zm+|N~0iMOFd0NnYnS^ns2eVCT>@bT(M1Dx@YxVt(FPx2-KAjO9kJaxQ`?3K| za?2Tx!)k_Y+E>(_VApNn6v{S9Zhf_?n~hq5L3C*03x|Ztj1S`h@TG2x&=jZSk(V(& z?nHgLSfq1`(MKyn{*c7*`PgB^Rp5pB_Wd|sJIqh0${w1>@8=eXn2qSdNGuq;L+&PT zobMhm<&$y_hZmkVpLF_;>U3SxS|HYr#ay;WP+s9;12Lapl}W9v#W{keR0(>CVIktO zX5H}~w+X7jhViML*FJqrg1~MIqidzlMx8$!&)GLGD%RK0@ccf$*n!ktiS{EiZP49gfJ`Q#JmxGe1P_+lV0(B}Jy;`zYPe>s#ygPPRR7BL1HjPu_c@zbLl1gA0-Lak2`p`+ndI zq5vJJ`)lM);;2V@b_C5Z$?+}~e^maANzgBAULtA9-c8Kju~VOU8gEA>ZG&wbx5n?+ zlnc^^-X~+h%(uc2&$|PeH?44){{6rD#BYzwmYl(PEpX!jU!hPP;TTZ4-tNyUv*Cr! zLrRo;@%?VgM#gTod%xJs*--YgYt`T(UfGcW`fGISo+j4Lt)?G=jK49h|WD7hHwuzU0Kc`YZMX7bhvlj$5*P#-KG(^DMp^9I={H% zoYr602K*r7`$*Mprji=)EJo-7HtS1Vf@szRF-+S=zunda9ZwPCC^41a6{$t9&9@gJ zi5&|BDV7<1*D)}wo@s6M;Ta5GPLa)1|7%y`Yq}jdX%m|USKF4 z%LUk9!;+hTt!kDxcnYIZlfqn>xd9K1)0bpj?myY(VjrdX|2_&+`y_88*GcV9W%6sa zY2*4GoWu=NPQC%)wtn!y<$>f2{A>0WUK(J?Le|He`}%4*`m{P;wyXrxly^!WT(J_5 znh>Uf@)$yG2NNCMlcaZv7Wbcvl6WvvNo%Z@({D#y3@)@}6l8^^&ZeEI+7C2(Q?Xh{ z);v2e81~#wf01%_r}F4NaTNLr#z#lWyX&ou1pT*>Gbl3UGn_(;_=0?or2fFrqRP>2 z*G84UUWQu^^Jo#Bb1q+E87>A|TB=qr`T#b|M)E!Mves6hA$|UOQw$mN6NncJdP4=A zTx=OVA&K6wpi_GOs)d+-Ij(yaR!Dz7F4GqX3Ri|Zf}`BsI0W)H1E&&&=<=Hr*Uq%d z$I9o?>GU8jOW5tX&f&)Xd-t4FF7{X$E@R82ApvKeuCc!=Vhj%b>?`&&Hk^F&Af6F&epQ zlWP@+I2G6lc2?MXVx!x3e)c0;?3`C-QtD!9TH_u2!%f;-=1<{AwMqG$C&d;|BrwC{ zq}=VzhO&*t&cCL`N$GrD3REN9?gd4UOGEVDe-p`0HVF9znPIsERN%jVb|TTHR2-X$vATJMeSMNoVy|T{^a(9v66F)75VrW1$Kq%qYYD%^ z*BeUbtNZtw&W1kx^q0qYx4z1ZpP3&2h1yjVdL42?%ozPoS%jo6Gwvu3pE3kRkTZ@Z z>XGFQC;RqwpQU9x3PL~1*vj1f&Dxjwj6W2fsqYt9V3e=coRpSfxk_RbNwfS{M{+s41>i97OK zfcdc*oQ%*VEZ`3SP55f_SUA{3rl^u50fsndDo{8hDa%vD8u! z7>I=6`wu~gcSq@}I%au|e2P3GRxr!K-yZTm*L&FQiC*Q&4;WyiGKE&U0Bj&={6d{< z0F$cebEj<1*pJ|nP@%L1G6b;Jwu=9b1m&0Y8(f2|-iFyK{0iXU0)m?VO=kCHC?_={ zE@Ez8FPO-fy5lFs5iN{)vaID>?)-!JPSzjSvTfMp zIY4+RzjC@=FvF67fm{&R&7Rq(|31b)#6-=mV2)#-Tn@~xeISZc{lAfv4!R~S4reSOEZ#FQAK6h*z7rA`` z&uLCo)^OLuHI?@OpokKEL17hM>A7~uwF&ckO;1D1u)#b8^6JF8gcUXGI-GPHLA@R{=yMo~sM(lPo- zvN?o&vV13!lTp+Ob`=kHKsArICfW||TlOh(adQR5bar5T^w*sacZrk?>bw%g##9!c zT;_{0o_EvQ4i4+h5Uhi#uVBSQ?!4tq)e_Yf(O<5Cs)WZSG(p}BgV-iJoT<*e zRQ0(Mfh9)oIqtShK9QR^se_F4JSb85l{AiW-i(GybZf`=7^q|l%;%IzFSIfSqpOnI zf7vCqwtM{vFUpU708QSfF*}aB}^0#L!%foTtrio5!S<+5^pa z8VO)`JfFs;+Z_GCb_HWZmRABU>9EbUDW5Jm+-zOrufxcD0HNz*Nu`J3)p%W`u>gzo-%&r+&8?5lLz@DCwcWDu&%3wG%BTxueKJUp zgPJj%PZE{V{$?-QB&Ho^&@LLrQvs+^&U-Guc^mcDiusy}clw4V{jckP=3xKW0EI59 zy~A~Ior)J_Ij*k*XWJ)9)W5Wq{kF@y=L3*-kE&79>BVPQ=j?me={)?GmzOWA)W#?> zh?}e$2QwBLW7_9_SUrlS;TVUh(0A|#%Qhg>BMX};1MQgudXA6CM*Xrdn^|N)2TC_cAW{FrA?~W*kVYPs zZ+Pe5`b@E3^gbRa(q(B5zCv12J~bR7Q1ew);0A8Mu3*9 z_+VInFw6rRqra3KxzGGgjqLoCHxr1(RqLIm*l1VzbQjMCsJgup4>Zot7 zQw=WL45=;DhQq$_0zupaI%Ts!+CQh?4(-26V|v!s0(iu(-<~XK|K*2hy(1{07(F$% zp0JOt_YJdA`r$=co6tY{>c?DcfcrC!#v`r2Z&b*iVZKr5YGS74O4hH3P7O9gi#lsQ znWJ@CwYyfSQeOYQ(vK#^%fTMjy(sJd$J5rp%xnNx2D1j6N z02%IDbsntD+YAt}&DN0ZqVy1N_*A=USKVPbldGEC!l!Yy-m)3jyZ-=CdrDcZsZAqv zeMY>c`e&iXU*&na5J(SQ19O?&gZ=2#lxySrY3QzG2Rm<}F3;Oi`B4OM> zW>7X1y*M}4hff}&q6Pd{D~3*lG}eCdv4?AfAVf#Hsuecj`PPz0!p}^k_fWS))9%|i%th%2NU_^y$)KyO30UZVo0y!`2!x7Z-caj(HxcBVI1WTX zs9L7Vr&&RtFA#9jdc7+S1j6VXZLjaUv=UE1Idbw$r-UkWm}rMsu!8&oqJdIvTbX&A zy;(81sPBjOxvjEchLe{x*~b8NM`FVbzK3=o9y0qG#G|vVpzA&E4ouZe;hkR}z|_DAFr4GCYM` z2|+`v5Dri_J7Q3#t7i4#Wc~**1{lF`F5a6~{dAUA!qGF6j{Z z;`X|1MRnIbz@lVrkb3&QwC#+NEiMmB+y7A(H8Iu>q`lWG?!l@|hzbyX)5=a3G#Kk5 zjy5e4tdvaGi?Q9ry}2`VT)5985+|&rIE5g32Q%=$TYxbhajjQr*_BTznqOW1cSUGJ zP5Af4W)DpDaCxY{7?cGgoDS^#8VEj=bf86ffHFp}g1cE5GCC7*0<1OA$RE}_;Y6bK zyVu#o>dPh%TK6WQBGqQ2?qM$%VAgy5QH|eFPEM!=rA>Z|?rRHztC4M2k5BqO2WFa4 zC=zI1DjUVfM$?Fk74b#B;y6`vk32QCW{CkE=3$;n(VoAZT4gO|;0_zJ$$3LtYXCCz zy82FxLr$Q9dM(c#>jXms6K`9eHc;iRn*Lq>Gt32r0HR~${#R#H5`rBo=1h~>=FbUB z*~;*gCg0$Xg)v?@YEn@LIzJa-Eh%G|MssLOIm#J1((fSw2BOS&XfF5p~nuyl_j&-0gr7XC`E(KT3E8HLr+;z=+@yd(rk4pMy+LS@FA~C3hkyJo}&; zHt`?M$0J(GYJ|e=NO&&m$Nh=ZaqI4iDS8`BdiE1@sHe}-oLMb{pA9BBzRwi|6w+{8Z7$H-ENC!i9#w|o5eJC}nG zmV_M39a-@kVcW*}Bmg;Vs`yzr&E?EORK8C6g6nxis$(qPDPbRTf#Hs8>sno|Mx8BC zcx2MSZ#q8GTYM*~7JvA=Hdgg5y1uO7b1|M)XjjgHTM(K*d^p;q>nH1bo8khrRfAJ{ z2ukzAy{=8|kh`G4U$!I7(njrV3Jg}}G#N3jr!#CM3_yex4!(7)9drTREHRV@B}KY+fZvw(B64k&%)ehfX~%>&-Z);ViyFb32K-*!&m~gsY7UXR&wjzU`&?=+ z$94aQ^U%iYpzutdsuuYiZ0=c3nKOJh^xbau*|MJg={4Nasv86M04uw>P;Uw`?5u`!y)m;ARAU^BQDk*!`S9!)3C0@v`g!Q3l4)y7%%Hj_&4 zb+cT)fB72DopIrANScllFND(Lic#nyruTcxPP&$a7tSe(UVA@{K~To~Dk%cjuMp!WVDnb=#h4Gp{7Y7oD-Q^W*hEPO7n9543Z?2fdFx|>Q=&bm1|lOaXT{I6J! zo$VF~M!@OSi2#l5)lfvAgqCK)jhwEhp6_fGM{P#XZm+}=JJm}Z9jMxiVT30B#umh} z$4jWnm;Nw&)Glb~1G3|8HX985m4LTj4ID%+z*?@-<$IADKTwlZ=s$?}9qKr=qJ>Hm zG{SY|7OKi}251;~0CX-Xm=4L?(ohl*bVG2PtvrO7|zmZ?aM@>y!X z#eiZA#ity+#iMMZxmh(YMvO@#=r9b{*v2iE9*zFleI1k!*}kx4-eVX0phK4P^3!{{ zuM&jDr)`8|w=Q4kHbB1WY{%nTPAQLlEinxT4)h}=?VOS8>ltOIyF_oc+^~mY^{Cwp z?~PjQc~ahucc`rE1WfgEw=rb)oGH9Av~93Eaqz;^)y<JxnG5W z-4UJFG3$^U(oz8`pT~~Q9Wi;qUvc{$Q4W5cA!fe)X#VUO_A24H@~R4E*ZrSzm6ik> z^@s!wf_=y~nLcJmmK_v?Q3$)u<$6B6?v>Pp+}&`FFTid~^if;MwdZ9Y$C?`!S6j|b zY*E3#)KcJ(QwxIYh2ozQ_j4-wm9EuPYd9j`P_^WbgGAWa5Gn728H~`NIVIJ{aJqxO z$+&)YAr0rxOu}>QLXqcoSHear@RzjU{1?N$8sH=(CG$*hl7<#++=j2L1g191Kho*REey;-!@#t&fd(KLZAV zCA*~l`ZjPT2VW^cZb`&7r>4$0+XN)F>xH#B&o-lmgvn*=(i4Pann2}K_R0F0T+HKu-Wa`20Ag=MRq)vkL zATCt_?Q6DR6M23UM~7}@oDP&t8-+@c=y3lD3gA2V8m%TW^rcr%)!D(n(m?g}ypHKn zMEx2Lbp}59(+o-;os3>$;BD_j5H6Fe^MkJYm7C5rsmGimPESTzR?+v@oWCh!v9$Ye zs<}z(Av57;3=d68%kRX3T)5*RD2A*~uy3}-t9iE@rPeg7{)zqjbCwk+fJ1)%&vV4> z8shgv-ytgT2kZ?mEG{lRA|0J(#IGu5PB)FX10{EovJY5#Qi!Bh5;--{g>pd%9_UUR zk2W7K^!>EMS!$u~eS9^($^uDlt+>H?8k265gIGYw9E^NqH57KAD}HlWKh7t*YL9NP z??UD)MvqVWBTaUOIrD4u(`E0HZ=3>F@o&poQIU_KvjQwD&JJ%L2P#HWMe@#KZpRu4 zxB8zEjD&K&8tW5VPxnhv$B8y9)jA(J<)QHzJNes|ymxd|`6*y>noH*Ta>sd;TGYb* zeI?B|%j#&@*Q_05ucXx1t)3E?m&P_0!k~21rH%{zxmx=4?8qdHE;dAv)qS=G^IxB` zJng%n%1gGb#-TI-luD;Ylr&QWPRIou={Hd7g~`R}VBe!DuVDt=LI+Y}0wj+S8sv&> z3vT}Sv<%RUSy5^Iz?3#t5+Te(LU{H3kxKMpQ3ghJ=2zFFle%sU6}oe$e&3f2&xf6l4#Uc)^G)KOxJMx0(^^;`Vt1Swe5bV6b;#GY!y)m*=e z#T-c+pN?HG{mK<(u0Co?YL9nke7j^4?QL+KBLx%yp|m~+|7?m3ev09af7P`_;U1bs1=FxCD(ddLlN7F-p|Pp)Uak>Vi_eedDi3(9+akVmyBt=NqiKlrI7x7#gp6w z%BS>3za!zwutHv9AG)*+ecTl0|F0Vt)Ds$ml&Ou^ZYO>>L%0uSoAmCV?&AM)#z?FTx-5jlG9W6{Wu|g z0)eBgsvT=lMLMd&Cto9@&eN%XAzW2I2-9NF##nR{k3f@Yxx^I<@bMb{v}PPpAEiQ_ zXyjIZtyxvzBT`sN9iT%H9+u(j@N2#i7&n%W{%}UfRgHtD7&<`@m&1%c#c!8+3J#CP zWV-H~!RM0pp7hjhK(LZP??3))8Pj&qc^pr1>g3*~OF_HInLe7S@3!`c2R&Ri$DUMHQ)qhLRrPx6BsYZk5!gKL5*V*WROM{?3qrg}C&gD3q z6*i(v&cWi_DIeC@y;^BURi~mAY`XtLYwt*cdM$Cva#9g8M*mwg_A(EVonR(p0ev!h z9amR}eJHfbsv~Zc{$}l1)?YbP+|4?>=d0$&>7COu|G%k$7puMHKkvjayB_lFIZMH> z*Bt;{h0}b9cOSmb&9UJCjKl6Q`MJK|SQ+O+qe_$u0b>Zsgj}V8?Z-bWdkKd2y!m;` z3Mnn)+fHi*tz>ah|69gAxjO3fJtpN`);ZJs2;JrneG{cKI>L0I*AQ%_`29Tn)2qxm z5sOrqU`{Kg_^VU&ho{DGn&s-$?A0aqVQJ88-UFL@ykwHAqf>YC z|Ko@t2ue#xN=So%N;42CK@gCRfpko|V}z7+gHkFX(%lTCnRGL{d*q0*?KfYq*ZceX z{Ix%x&u#afbMCqKoO{mWq0Qm^xC}&2)@P;c#EIu}FgOcUgl)x8w&tNgCQDcRn2kkB z$2p9xP6og!a1_IdNyOqNUDW7%26XMkmr+Ql%cz&xVg%Jaduj_tLcZpJd1bV?)8s0k zY?YP+ACRM|7+*%WLAO!P&$7*A$IQkC#YrLvzawmK!*-V2FHeedE+(%9m#t+CYMFk| z>ET0Z>ofrqq9h+|+C}Ye;Oui6#gr*p&-hUactz5CSzX{vn*{*NefRC@$y%4}MEHMt z0Jf;B8mIO$^4}%mnyJM&A5r3-_5=DDCD5xvXr*3e?=ZiNDERMY=@@>r;u-@-JQliP zqsHHIm#z9_SY;4+GGc$7{Hx=$wo>F%w(O5^yY~cTRY{S8Y;^NH0NwLnxzQz`r@?h# zE+Ko2yyR#tBHrUAyOBqmnnQQbN0_-o#3}Y<`lC8dP$4KI$|a=Jp?Zk7r`+R`=zJi> zI>cNcowxs4dE;-AK(=IlHTuJ6XZx%Vcjbbv=^q9(UpP~dNW)q18WnIEhs8R7AGY46 z-H(-JDSN#L6nXJm{HS)I9?YN|FF`;Jt7@#%yV)cciwEW_bB=m)<^wflnq{yRb#XYr z@L7n}atheE>E*{hX%hAt(5fHD*H6~x6@9qsu-q!LUnrjw$=G`7ItyAoBEH6Q?M@UnU0OlGvVG=8+4zsHRiw=y=&4Tz z>U~mWw#Et0TV8WF|C$=+3b7t~>~_*a^A&qn`X%6UQ7;SA+@e%be2R^QGm9U_`ov>)q^Ia|)!XNR0hnH^Yt zU&suQz+IEj*Ccbt11nmbd`r%SkP{Bw>yo%LF8@xK`rtRGd?e?hOmF--plRH!L8=z- zHsbF10T;Lj5V|=s6_?jL>AD8^ooqkoOIxg3H(D%F{=WN{MLc6-Jx=yuXCjC^-KLT} ziD-MYC-A*(=Bb{{%lx=nav1@EnQ=La935BsOO6$@q4Z6;-}=v}jt29F+*F))XYmFh zk8gp2H&1F#rdxQ>AZ@hcP_RURA3~u7 z#>>?wn=6OVU=ZIG?DN1_{T)ejx$6(Zx0OwI&7G6N)0;k-Ya$pw%fi*$4i?|oWL$)( zGscR=E4LAWg`a*u%HfSRraR_?GFlOn#?dHgHHLBd`m?h)9YY@*OgbXpRdmGA{ zK#jLUCH4S$bQfyJ=D9RMw?7Mm@g{F>XE%sN4mNj6P#PVljzZk~db#L+FQFTfTAcj) zlW#Aw3sZN}w|o3oazWk)aZiu!?W zO~$I0YqRRJ=U$m}vqX&z4GkQv(v*W{%f)5rcncjlMB9~~jPofG{GnD_rhsJU_kl(@tFr z(f0iM0ln#m1@t}J9r=6Ujf^AxfSfYm%(nb!RP{TCS#yHHIf7G0}y&@fsR z9Lzjy^Q4lL3L!WGk{61!r9U`LLcg%f#ER&xF zpK=Q5tYG$PB!ASmJ9PeU=R&^ZnpSi7epeu-cV)Q`1Gpy@#BuyIRx3T6i5DWT zke#mQogEJejV_0D^0Q27R^r<7d$R|GDPx=vd?0N@oR;dJcY-UIEhy{URok!6Rwk?T zX)iZ?V;slyLJwXjr8e)tnDvAlo+d5fjiYPz`Rk)1zfdEf7Ce5~GN*B64OM$GNy zZwnladvVk^4W5Q1Ezw&>~`;66gm1Ut<<=7jw~WUCxbl>MMzWd;K7AM!EN_f zgc%O=gb!MR1UAUPHNxx7?1D-&c&p#}O-eN2J7NCaJIhWdXQT%W&Zbt1(u5oeMIcuEQe0$?`{lonNzgW7Sp;EYqs@sRAwk=?=B35_uCS%EWRdiqVXEBAG z+1_OFR<zq43P8y+6+xFjy^CN2H2B#NVPZpL-9lgURz-jxu~C&a&MbAIE6MiP{CGfN7$ zHlS8pQ!+laaF6;=1NZ|{R+RUNJv2&3%Y5~B7`~4}>r^;LD!otVQo2vEd_U=f6b{Y= zS6#f%WErAP?dS3Vxe@iHQ+G(-`iQ+~_{6^q@ke$wXQrARs?F*)7z%DNyTl?M)gIb; z2zkrt5UIf7^BFd&^&EDRlX7Q(v{vK(Mb|8oued)(57uv~N_leWvx=Ed1Ri=S~%1%o?)=u;ZKhPP-eON0Qqypt7v@Oqqd zecp)wNl$ur;k=$Y^7HYj#pl`2GA~Wvhy@TDW2@BU&`u4Dh-++0METW}Wi+%Lt%^LH4Xtht@)}+hK_s{(zOZA&)Z1<=p7~ zdu8D*w!kO76$Vy=TB9O`5D55>`(rG$R%4m{)x((1H18T1TDARZRBJFhNLC=7lGL|8 zWeJTB^qaXKl<-RgWSDH=U208TV##hrFZ}TE^Ts3Cqvr;-4v&-MWZPxrn4YnDXUKq> zGvlT{VGF_RM}rEV2g#>7=J+?1W{s zXNJ|@Q3fRKAMSN#-Wqj^zN_A0kI+dD$c4sZ_{E)6dW2T<-o}RLy>4I>Y(uLI3?mYZ z*o3dpf?f$@2@JSrmA@M+N)FU+0`tkc37OMgAZlG9XnNW z=wrP3@~Byrd{53sC4_cnOPH^x;?bq$XllS+7@&i_`&_pYBp#oW!z2Qle~x9?Wji+s zIehi_VPNIEFGi!Ar&}V{e{54q3oGv4A)&37YEk$e_A1Tv-hR;QWG>tg+0Kh*j>HR%m))N8 zBsF#pg%L7g;Uc!M)FIW^(+%w$BuM7#ekBS&VA(xwr275`R>=%eEbP}5J1AN#nnqAK znub43<=9!hy6HQm;BFrd0D%#kDL!);>Jj6%_gV}{Z@T$a(y=uE3kGlO`b$Ql67|F1 zCHmLXIY{GBz_9vF;{GP;Wy0(=ZySmLhH}`{LI6u^G)T8 zi#Z1W%ocyM(Xrb7$L`-%zU# zW_RxG(m?V*;e&+EzZ?M^dFUkDzqTJfA=oa8Yrk-`R$ z6nBtnchr2x?hxwt$-*#ess#IC)1lKgw=psj0)jNXj=tCE8KOR`IBoSlB$>~A`tbDe zBL&{uO43)TA6=ujIPvu@V$THFK9hLU&R7NtEsIqckOp9){gXyeo{?&4|wbv^^@KpsqN*}Qwc#MLtlN~PhatDupe1ZGNV7Evd z6F+;cbl`N*nj*(TrtjPv@{S}Oqfu^JRzej1bH^Ztkk7PQEI;m4@3>R>Dj!{=1<`AT{Dj`}ncz&EPq)S8+d<39QsSRVX2|Z+uxn-*Xez zmv z9rYgc-Cn9rPPXelBsL-4)k&ZaE-?Ab$$P!I9L{792SWrY^>+b*y@PV(%G|ilFB2tJ zL2Uc@_fT3qAVfD$7yw=;%xB#At`|6Q{E>Q!J}#K+YuLI*H1(tU#V}N=z!;k<{Lds{ z*Z)b*OTk$%(OD>p_TdQ|S$p)SD~*{z)!PoWi`ZtwUoS+$ID}ak_h;fu_aUWBld66#n z2}=uybbkAN zflN=GOlhB02%a)<%Kl6*=P(v${{g|+5066Kh)*Aklnfm;=3m5kM((_cVS znlFD2_<9`X82H7D!X3p5)SEAkpYgX$`7lp*oIKL*KQ7?@`E6vqoGHfhW2o4-!P^?J zXOiUZ=~G&b9OF^FJby<)$%3ppVbaLr!)P(i2xa6CkOr^YE1!agchbP~UQTQ^W@i)O zF5*7l8~tvR?Hwj;2~^vDxGV_r@Q#QJY{In*&>3IGqr zb$yr#YMk|azG$VIJ}B1E@DQCL&p4V#=q`*~tMskxd>Gms`I>hS&ok`)O?3NWS;3Ii zQWeN4qQgfGqhxa}cDG(!fR>W$Xuo^F$WD|w_-}FAkG-f#ni#-A{eJm17JZ=MS}pa% zcf!aYdCX3)Wq{ZtR@J~+YK1?CH{85Q0(+ddSTFcA5!x|{x)cQIE!>`Au~#O}2}_c& zWds^Zr)|oT3=bX<6gQ8Oo#7W4_rTGj+0Px(RA)7`u{s>lJUfIn7NA4 zd~XAkej7iyyU(phhnQ82hiWZUMDKmu&JM=AK4V%NHhTWM

      3; zhn(;3w46!QO0-||kb)1xg^DmCUOkRSZmizpEPaFA?}+&Al(K2EovnQ~_dn)g8cP~y zW>OcVX&i{^7K;U-#q{T@c#TX@i%v7jhW^Nf6A@GK?Ky6DICx<&W;19u?BZJ`Mn|KK zYe)yqgF7Uj*GLLIg$gg)nNOD*m@j(30ZY_{s2^n$8UX1OY1@eL%Q0%`qeHW%OO1A7 z2bi|W&=1PHCmYBIXSpRupFpI`Hop-{u$;YTQ~KGVILP`iRGssK4p`o>92?VHyWB{t zrjtJG8tv(794a0!M4l|W!XY&w@#nu?VFIXB*L5d5e;aGMLSs4D=XUd2DM~j4W2VNf zh5y4%au%7cD+@Y7QO{TYZR?&sZ*E?b??~ab^B% zy7r$F*llN_HhmU?TgdQ1C0#Al{_ANPyLu5F3uyFr{|9}{{$Q-P^&Etp4NFduPwIn$ zWjjBI{Dioab8#7wD&1h)9SV#{8x)?{$@Zh7^(bRDz_p8`I{5TB2FYo!gHQ>!bnD{F zM(czYh*~0vf^oUCY^~?DrBvl-?}vo;TzF5|c7HH6TG_qm$fbZpHiMS9oIF#*Q^#?QDperaXJXC!kyV0FW+!Fo>lA zU4OT`eaN8#A!v^gOGw{(H@Y2J&-SnuqlpUei9`U`j==eu5DEMIrkC#Jjy2n66p)|j zndSh0-O(D*yLh(`7W9+thoooE%RppE;nb(*zdgUVouvCt{l0{|9_H3d8&tjfrBp+n zH)Mk%obSLgJoLHQmRxC4FE`KvK^JFV|8k6XvLxnG=VZ5^)B;U|(zkjB6 zH0vpIj=u~xeGhi98Mng}HY9dQamp%@irskTOP@5{HP(&Ly#R-JR{X?FMYPK?pn?te zQhRmq-aP4W-97vX=)Gor|0Y}!{-Om!T`xxt>yubiJS05?N^Y=0muu}N6jM7ZnaKyR z75k7W_%hZhr`-YhJ+6E9MP{Ecrv7>!bAbw8nSG6fk$|*YQhc~uI{TQ~7uF(gKP+*e z(AxYMPj1TYuhlocnqo}L?N@#Q2V?t*YMAIN3hb4HkoNYuR_dY@XKkV3O7Oz@@Lb+2IVc7A+X{c6y@S)iA$J#Anf0?B!2wId5zd zs@_pY9GzD}RLBYweu9T&mdou<1t6l=h;$^0v~WB#8ov`r7Bm?Pe4q+oWAO3WmQ8TT zvg&yCv^e|hlO!n>{~4b$O{=5+4MN8I-X-z%gk~6w|4*(cKwx1$T;MF)`y_gz@h&kB zG<;+x{}iBlYcrC=CaCDLojtCH1yBs~knz7?gJ{y_Z1ugGP6`Ju)V$3zIR+8I1nX_; z?vbd^g3bpU0Csf%7f*Kko~pDfK8+twWoH|>CeTHXFt*oc!iw?jjyHat9(gt%sN835 zhcx)^#@9B>ktGiu-rOMRYB|clL zk7zdV`*o-xeJH5+8rbM;UQ?~K%Z1Arj00+i-z`Cz0~(tU>9h6wNX>a(9OSEZL7D)X z6BHhpFOb?;^cvN7#w&C0cC`15t^!u2_RczRBX7N;U>O{Jwg^lg1p9=a_Qk)3Rq^F7 zzWnJwrx*nHn_y!$el#Nly!8J26P&h~02DL7jT@5rVh^YR2|ILo&kQa{l=+*)l+Qw4 z2TsxpplN9uc^X>59eYzHXZvO^mswxmQqUk*OImBjfx+`|uOoDqf^XiL3#Q@OnuYNdyDMEY*CP zPtgbz=(Xr^?NCv5^0DQx-ks-%R^21qb0aP$%okCxX{m&Jq6AT0cns?^DPc!f>83P$ zQDNZ^$K&S5Nw(fOeUQX&<{~j}_uQxR)1T6~hAxT%A6!!fTSz&sk&DE{i_jqxVKE%t z?7yVz+`I573a)G>*98_-GQcAn1FTPVZ$sKm3L)UQPF1t29p5s-e4^lXx&Z6zj=V|9 zXyo?arL|?`@kd+fBA!&z@C~m9Z@O+`b>pn>T|fKCQJI+h=Xci)4;s!dFA3ly3YO+l(BadQEo3_$ zPQQ!JTJe)M!d4UlwiPS7^b8BALyShu`8l1f45kK;l1g0#WmdydRtz<&Lp%OrqgO6E z=aG$6F}gS}{z;xtmmD%{S*=xF)eO$*muPx>}FTByh> zOt9-70V!P% znG!_SMO?APDl1$&r-0$=mxa$BKS?G$?y9SVnEMTs9XHYDsyx@>{&%>+vt%ouCK<}r zsp-ZNr|7iy*p*qh1PP3>c=>|ZT=GA1&8H3ateHwlCpl*ry?nb)s0%Pz(XB{*DbnLz zV*Ae^U9D=jQ5G83NBbO*~hb zASdILi&1&zzN&GH=khy#3pSvVAesMKo>#Qn0un3c>feV2e{{`Z+#d_{ey%qjAXDy_ z^=MS*6E?yWUBoSM_h4f|usVMxQQs@n3wYH+`QhT^g>^ldt(5_k+V$64J8X`~d567U z%;$Wu5T7|QMSUu(WpU`qkN5v6UjqLQ@G8qA`yW%!B zpFr|@uu@9bFT_H+VQEvg=HCBQEK9!g0B`n)*>~r`?p;3p$~=)2UH(V^8r5G55W<_i zOdzGPk_wSWAS@Al$W{LjAyb`=(1DLA{OngAqs5~4`>4ypduf{A2*1=kV%}^!=q6 zLiiy5LD!RnXpPxd3P#hRCc^jb-7{jHx=M4_eEOeqGG&88NzOmUhht0sz8DM8v=was z_vEu|-xHSMkSoJnP{E?$fSFOhPW2Zu2+_LR-!sd9;z%&TJ9v%y_O4R3K0F6vCR1Ml zh2pt+)(K3;1TdBN|B%BjrT>JwrX+jA6fxf(u_#Ob6A+r;xN+1Gfg2P%fsvz<#HTqQ^(O8Y$a=j0ch);$y{XcbbDVmW%7X-vC|M#YKlOh8ZA35&x0qrL)|# zd!=?Z8qSe9(PuPkSGNe8RS#v=oZvk0R=iBCm08oZ+on?@;k&!GV`p0{@Ub|gej}09 z!a_>mV=}H%%$Sby1WWedXdq!_Mc1PkkbKB#7-nL{ZER2B>34o>w73A^}cwtWv1!sEN|KD>$H@Af(C5*fyx8rqy$v$Sd6zNG@-;*&_thWnY# z1!ZEfjj_F1U4KSL$$EE;!-Ba2TZi9-@!qBv-JWzV^D0M01i}rJ1oHPN*9g&9g8rw% z#l43dT^Zg~_g{XO+KeY1Tz*2WK(dn3u`EwLBlJhy0)5p7_>#)YoRl43@JB9(1;9qm z!P}PplhW~UzOJC5z*8d8)E!?^LqM!~J4StckeQ`B28$lGKv~>mNweW;-1BzVn)VKz z{1+j%@8(PAYQr3BZr|cU5*>HWC+@go>6+S}rb9g>sD44P?&vkyN{76hEOVsbfB`8R zTUTKbXS&A=9l$^K_CYBKHZl|%x{yR-^j1UnQFljY2)<4K3XAlic*h_9Yq2B|=Fs84 z;q>3VAN!FPK)$n0?S4hnO3btJVh%-HQ+t#SP(sN1P{IZQp%9lF3V1+pGgb zrn#jW|NA|b077hUZU39+?hg(!7ueK8_t<9_{MV$ok%Gpuod}SlUOe+B;h!~m9SP03 zM=pyA1Bl_>{F$jmtB+VLH@DySIj>->HDY?JF(iN`q3G*BDd@-YUap+ZM89JNwi7ni zpDEHdDl%ntG&jpPduK#gWE|IgP;qbC64_*4S>!@vdr=%R9tmanTzebG#ed&9(56l3 zT%)rWF$_E`=1-JT+WCFuyrLWFx0LxlXEoxS&RENDH4r5Y=JW2S8f3;Xbl;e{^C*jQ z#(KpmR{qJYZvo-^U>q8=Q(_T(9qL_bep7vgy)7lVui?7N@_lS8*y|;P)wU>B4N^~u z{_YC;c#V7H4J4=LyW<7s@>@>U2g;JlZP!JDC_1RIjuKW%hM$Ar7D?O$Ws;p^t+ZzG zclyWB~*{1fzA9ts%wl` z?!s*$PZ>9#^7LT&GVL2dbj-oLI=56ejh2!qb0@(XT>`GL~ zj_d0D8%p=GnbB3kN;9Utw8ryn)1`@jwoV-Kycz~Qg%2x2$DZkubI5O~{alzJ?~~&l z2*sbA!e5F1?64=S9SF90>(TZ?^8``TG9~TpXeQv*?~$5P`8yDqSc$cG^m}(9o9` zRj1l(*&#t5k9h+zyajDw%!y0cBG>0#r!`v*R0X)>3JVUzTyX7uWcWR7q^>pBsp|tc-7FEo|cC{OeL9JFrX(C%96a6K2O8xykeoK9FR;-3Y?rl*FP`Zf2tY zJEW#41=YJF4(3*=A5<0u8er@u3d1g;$^9FY?PL_`I`I{*778ZTwmVgMiv#)Nzf%6+ z;RZ|QbTzm3j_tC2rvU?it-4( z@tP~GN^*-fuo1?sAqI=Rh2%f2vKcKB63&t5{B10d-ssO0q_BeJcM_g4^^0wjH8t@Y zs@pp5BGvPz3Jxb*VO9NmUGnw0drt|m5us#7>yGZY|DK*gozZ)dOpoiDnJ|(-G?PlO zW#uE0-BB0*J-$d)(L!UY`1{xW13zvL)7D&8!GDDMGP1pv44%y}E12=&b*mhY(#b7a z`A^Rl+?Txnnc*3A7G{bIC*Y$4&MhrPoHdm8`AaapGZOcCN z|2R~ZMM7t@bmsAD#&iMo(Gj8Q5SCmA+E`ilR+mY3n(y1Lp7^g0Nn?A};r}TOdxVIT z70ojFecwT1HNQ_Y;kxrAOJrEAYba-)VU2)|fp`L~Ch>-k(Yw6;#-2PJHBwUEKFHuP zskuw0UhvCwYI`-sE?C&Sx{E1&Ri5~ZNKZtheY%%O*ou=^&SzICCzl{@iR zrMna2X5kpVtW?w0jcvamt*AC48hyI=`dtLoJsoYV=lZ4C0XZKX`%)o!4;Tnbpz&*V z+^vrDqF`qV#PPAURYuO1f7;SRsN6Na?5p$r2DwEVy4d9cZ&`3-!?EIntmwB z1qrf`rPhk|K&SBie4j#BI0>$w|0C*AY-#-W5J60B^fa|^SxaT}ilqo6NvMC}KQjqd zR|;bO+K=Gn2wI``mk2h+rEM$tHx&Bo$3USt%MZnUM)-?peSLRu8kDoq4*hZ;`ejy) z{ont-bNbuMF-CeXT=Yd=vF3k%y*dP^FHJn>w`UT_;&J^qC{ex3ZfEQ1HT7mEsr6B^GY)CX6xC`fVpG~t(s|j))tRp;8dqFg|yD!&7CEga8zg>+_^&? z{yo)6Z6KKcOM3 zYpY4s%jG~VL3Np#Hjb$5Lk`@-YW*$oOWm6C)DoI2EGGx#CKq!J_pjOu<;G$~0CXY9 zMR<9j;%j!-9b(YINr>?PD_@LC*{6mQ?9iJa7)Ar+Ic&@<$oC2h(o(@Bld`eAo zKbKSW9!zsu42I`~E?V~R;1OoU$qKy5|NbT{1zzczA&ZC_$pr(K8y~kEkdC+_fT})S zDaY6V6{{Cc0Dd9V{s0^ch&krIm3?AkOT+iII34x zI>>u)Ht2idtv&WvS$A+F?qex88U5RrCQBk>t$yyakH&#rP1yPh?Y1E=Gw&vgd){WsG2YKqMdG-DM6ARsXoqf zul>7HaDt(@hqwHFLO%1zW?*GoE8flX;8LiRY*mwtI0IdssLWD}SB1Z)E^}f3!<$;p zF_uH_G6Tt5`M(mxlS%COD(a-W?0+^iJ?V;SlhSRUsyH{4_7#&l=L~j?*eZ>Dl&h^u z^+#)CR#=d_-^H32gxY>G!Vt;>X_qa=0XE*ue$dBR%BE#>*M`hmse|et_%%= z7}lAmTJQz}h6>(4W&08qTl>EEH&_i{?l2rIwfQ-H5$6=945P-KQDm9h*T|JI$X=A- zyj{i86AkPk^DUYL)m4uVZ+SKUItk^s{do37zzx1quYOFH4@ma2&W+gpDc zU)5eaq4eH(Kc_jHHg+_{ek=Je{5emV5th=x`8bI+ zL7!(5u#0jR*pmHO5S9>YUthz;^Me}dY;peD@e(=Xkd0bAx@}iwe38ap-FLDmxM}!C zoMfP>#nm8h3Z4#VS_-JvfVLl-tKfnP$}sHY8-BAbZ|in#nFO5or_1bCt}xpGOlEW4 zzqY6GB;jmo5{Wz&)LPy?dtTvpebYRWcim!&JNMI#VuHlhOT)i>X5kAxE-+lykN#DA zdU489+3;XULp0fDX3u!00|k6s>t>l-1y2KgYB{2@9Y|-I>&xv%&IJae&(;-^hr>do zOcGGV0eh^k*vMH%xf3W;C+Ug-r+p;s@da;&{p)Y` z6)(Ua80uic`5hyIo88KB+AfC3NL?rTC_Gnrn~T%FCk zUAPL>6LezjqN!4|F(@i{P~z!rv@*JVdJ%7j+Wyi%tLZc!KSA3od9ci$J}Hc6%7Ce~ zZIO?aoA5KgUF1f10cFrJyIVF-E|Hj1s37W_u%f}RFTcZMKe=1Gg)XCBE~Q?8lqtP% z+;v6SG6xg@`T_b*@I2x|)bV{^_p&1a0Ujt+ZB7=tPHF}UA$Unyj+0&{x>hIc7g@fU z`!Yo$I25gN`bPEfV9$Kd3F+s0aGu55NU{?`1LeBxkBNYvG{#LNj@R9KggsnmymCSb zJa`iS8En>A)_JsGF!QzRnq(ObY$*EVp%QGQ20zrV74(5mmZL+B*D(6zwpM5czHimi$u#3D+u@8`3B zW83FJ4x~sWCJ;Yp>PRK#m{Tg0Mp0phb3n9l&xf~6T4UUXIk~&TnAzX!WB5L69 z=yfNx{Fyzz7Qx2r=S~$v+IuRG{a-wld$9ez;9ll5$Y;WAj_FkI9uFynKX3{6x;6&0 zVQ*vj{I54-Ip!tI4^-9ik8>N(p|7}jZO^G&M%_nTuWgb!Se<1g-H6GH`+B1z&L7M` zx(NzydYWXh(EKoEJ=<___1!fjMTq}cdLO_o(Ps6=bT-@i=?lEFq4-|-Lt{=1lqu#j`H4Nz%xFs&%pGpww zPx2ezbnv{QWaxEz=>>PpO;izMU~L^}%D8>r-=% zCp@J&Y!H3G>VSs>iB{?k3)T72Yl3PomlpLb+q`;nb+rf($(&&BqLs_NCci%0du`^p zO&Hg}K+}rl2Q#RML-^Wu^b`x+5|fpZr%rba;hEmc+kh6Yf1Y>@uS`LDnl zKjJna5^hjyhdtKQyrqE&0_2{%JR2-}U4u!nH=22EmlVUc~SKdngF?D}FQ?F|>w?zo;QoiU z%|lp2jpqDjL6x2a^m@Blswd-9NNKum)R5x1??b#Tf=7UK%N%1VTc^-LIVD8$_3l^p zhdJrQ53Ws*jw-6-_xbmQ%j}jX>z4zDTrdsvB8y4^K$&Vx=GtKtbHozG4?A$mrZFuz z)5E~#4AmKOrCOR>!1S}Ky0zvej}7hH_Q#iZNeKa-Xdd<-LQ@+w!2A4tB-b@G?s_;{ z8UPHo?9epbz;qutztERHDZ%B~o6Di=Jy`Wff8crx2DP|n&_tNIUZGcE8uw&4+`5T4 zC199hf63>?Z4qU^ggPq07d7-XcQ4uA3%viH)bQ#or-}Cvh^_Ghf(r;}WxolKl z8XpPiz6q?7L0maBc@(EdpN(JbUo@vTPZw#omad1L&=|yT|L*Gsen923=V>5&uTQZU zcv|~^oB~bjO(m~nQ4IrwVn&OC>P^A9mJw3BZS0u1>m50ON&U4fMtW_^0ONDRjV47xfScpj>C#L%{WMU_wY#A$3gNF zQA+Wj{AbN7oc2G?dw|ug9$AmKX0Jdwq)sGfMj_0PFbBs$>j^K84CtNgZeOBTS8GUf zr%%XFNaGttEKMdqn+zMx-(oTOhc`%e7v`VR^e%tteIf^aHnBDo0VD&f96S~_$ZIK( zL?7YFEJ**^Z#2cevV;i`TS63peA4@zw#Q);C}+Ll7ikRI0p7o4q!of0z#Ft2eY_VQ z@-<=ob&Za^*L>R!gGH2Azp~DT<1rjWff7dAtbcF0VrF*Kn>V> zZAoJ9q>=cC;0U|GINLbfa;oM>+64^IOBoZ#KlaD3Cfp?qPxH-U(_P}CmdV{5Mk&r3 zujr7G)z8rA5(Va*_$)_L9*f(E%@A*%0$)~NI~M8kXxWb+&JQqq{_*rzwb_Cu8N;Y$ zDr;)+fQ-xI?Z_)t!Ov+GeT96nkj&qmpiSzFT0oX!bI6s!Qgd_MPt0D7hREWWRtPgA zgw2@#In)R$bOL+s`;}wsyv>*j`~|tx-*v3iJu)!t+h$5Vqo1q8vd`}kfUah8BbNZ% zX}Ip(UWw3r^Mlro3`fqr-iFQje>g+8z%Y%FucU$R{OBsw?6sTMonqTEhn40jomdV!P`Zn0({+^opSM$TV^IWe9 zjXWzNJqGZt44*U_Dk1TUffB5;LgC~Pm);AHF=<$5ivypcmgg}Z-6N;dLl==(jH~qo z{GIVp5b3I}=2H|iB4(ZYe`&np+$*l)f6+=4-(8(c2i18($KT z*-=)}J|CkWgSn^xgPQBe|A{e3f~7JtfFia9lS^G5!>;^1Gha`u)08;<%T&Ib8P$Bz zV@)XXGsD_VBNn%%M6mYS*_pQ5{T)CR6lcn{>5H;om1^;-n;b=GcIzs_*H$3TgTEeJb_Nf z=o`o($S_Rimk0jRWRX%Y{IkS^tOg>d$oR-*dOuwV0}Vv{!D<$T?i&2odSfv=S%Zon zwsxAeCGj>+Gub%-D4dxK-VBtz*`x_ST7*6u5!8^)4aE;c!j`Aqf?ExaODZ7cGt#6? zb3y;)B=QKQ0&Yqthcy1b_O3h}%C(Ibsfgw?6iU>WB_Twk$c$Dd%cMGqNyuk6h8$aC zIk-wfQ^?YYV^7&?nwer4Ql_$uE!&u}8{615wlU{T=j%J?x=wO^fA{|N{_}gE`~Kbc z{d=D0e%|YSw?wuJ5PZ0!4H@ACQ<%3(L}*UgW`x^{S2?bR-kG=T_}Y1asO43}^8#-6ljho0-e9-N7IC}^T>0gCF9#Y7dM zZMOqAnjCq^1@DHPRb9qezK71%AMR+JFBKh~L>;559^u~XRl93(_8eH>J@i11()~@3 zmkBZ2`U7h4Ff>z`J?x%EaFi`>zZg$!k7hx}sE=m2*BO_oq8-`CC$wLZ5FK&8B}g7f zTa4rjO!_cbZVQr#R=8(GVmyg;GddDs7e0Mf@21UR40)g#gKsQ=Opa9 zA?uLToHn(TF?jxZVwYVn$$6GqXg2C()W@N!*lDpYj0$VN4=33%EDA^a>u5CdImZ*# z9_(nH$X?0e{!K5&XIjBq5>(2IXgJ6VPcVKwcaBRB4!Y^(ES0SzFpQ<_opgYIgl0u` zU9f?~KB}cP7fUIlsByJ%@o!Tdo?v!%BpUV7uso1Raw;#0s-v)yra||}KLpbW!gYt# zF1Fke*40@n7U>@eJ$XfEy=xzDWw5O|HN4M{$pcGNdVK`JgtK7byIlqO9 z6S;CqMl=|b8-`?c@v^2s+abHvKTP=R8r4M}pH&ZQIJeqh*!r)d&LKYPn8t0-eFwcj zil7($yG&N5ZCJ~3J?WkN^F6Eyb2aO-#26utsUZy{1pFa|VlnV%`$i8~ey(s6>nTT= zzdGHxTmWO_d;7=m&?l8Zhg9AldL?M&F15O^|I*6%=bLW4&={1AiA7s0O6`jX^PiLl zb&WwY{YuEHOBLKL-idNjK=ba)j<7sO!VewVEqQQ40S>W}xoncoGdTzrKsR>0RQb-s z|Lftt5V^YAYIn{u9#@|tS0OQw&^oQ`c2P-C&~XA15e5g>?0%_P1AI6+yXWh^c_SZ# z58j5@v)qS;ZSNazrl3NP?ew4ShmVrYOd>+HUA!$Nzvt1PgT5N)^T#z*C#adzQuL5n zrI|ts$RhF^CrsT$=WG1U$?l4gh75x_Rs;$5>C9J5fZ<+m)H8HW5AkVdT3;Pomr!6* z8W0nQPh2uuMIRD$i{a;4Lg^pMQ*X;0Y@=tna|_57ob0j_9+sWY z&!l%3+;RVb$9p|)@xgdkgJR|fVCJv@UM29#YpeY9z}wp~&?}2&)g@cZ;co8{;;E^r zg)-29D_uH%xA4m1t8Tr5@WG4GFy-aNxlv0*ooj;q`}xg{d>UDpVG;b5`fRBRH{jC1 zKf8js{ht1sjZeuBio7R;3u0H(G&xTnBZkgbp25G#DoZ}+zaKq9Nz3$68OZw;Tgb9X zD4xEStDG87npbFFF;W2wP~H;UlLXf^%0pz6JL4ewgDYp&=xk?+FXd|3>tY#veayZX z_4&m)p0ehVlMg$?A93yrzj>KyeEZZ#`_UTOjxR(t8ecfQG9E`c?4Y_ZW@WMQOUv?0 zQ<1jM!_(7jG`$(4l%KRX+}q0@8K{=H*t?uIXZ`s6g5n&b(g1teU;PAM;M9R9Y{@h! zXYd!`_j%h8Vr>O9*Rt|N(mKnS2xiRYnWnoMm|vLb&F-@XMMQ*ZpO#OFYw>BR8)L!4 zeNjXbOTBc#07GZ#aZFvMZAvtZ$=nj%=oX3=OO}mF<<$6)1B}nXZUKW;fPxCF4>jWKdh7zLs#(W~JZQOXexC#e;I^#VN=A7}VY{taZCDpP@ z)VG8#UbT_{-5E@S+Tp>2*H#C$yvOgR4cYkl9)7_Ox=_lVNx|e0_W1cu?s7)cY-I*l zjZn#uTi^oC%p)2eeqK}RdwB7+#_7M;u1N&I5j4C!ACHvxW?8|5l$DMTw0!Te@6L3tKVrb7YmhW|J=>plfR|a5~X1 zz$E+Qfpa2nt9x?b?3!3jSIpu=5||j3ptMh(A7MX4hq~56>a^OJ@t#8+i6jvJgsE$j zUTRxCDX`^HFIsNUlFsf^CupEqvLVsk^~B*6W%ppBltU9l_GU?-bT(v=U3ng-B#gq1 zFI*zR=)!ns9H^85-F|WRjL+2mB2noM2*c|gn+Bli$RCSfa^tH^^gAXmP`nJ8@W9nWjQuQYA2 zEZ!t1Aq*5q$q04s|KK|}H5&v!WZtQ(?_{q1yxjB4eNH1!+#A!1_p5BObI zt{GcDLD>|e>iG3TZUQ0v z>?9Sxw()<7Z*n5Qt{BqRAz|H+p9S)>K-SX3uWO&51@dzSS%;+jKQqX3upHZdDew)( Qc>{34&zPPrIB6652lTB}{{R30 diff --git a/PyTorch/build-in/Classification/Twins/Twins/utils.py b/PyTorch/build-in/Classification/Twins/Twins/utils.py deleted file mode 100644 index bdb3b79bb..000000000 --- a/PyTorch/build-in/Classification/Twins/Twins/utils.py +++ /dev/null @@ -1,238 +0,0 @@ -# Copyright (c) 2015-present, Facebook, Inc. -# All rights reserved. -""" -Misc functions, including distributed helpers. - -Mostly copy-paste from torchvision references. -""" -import io -import os -import time -from collections import defaultdict, deque -import datetime - -import torch -import torch.distributed as dist - - -class SmoothedValue(object): - """Track a series of values and provide access to smoothed values over a - window or the global series average. - """ - - def __init__(self, window_size=20, fmt=None): - if fmt is None: - fmt = "{median:.4f} ({global_avg:.4f})" - self.deque = deque(maxlen=window_size) - self.total = 0.0 - self.count = 0 - self.fmt = fmt - - def update(self, value, n=1): - self.deque.append(value) - self.count += n - self.total += value * n - - def synchronize_between_processes(self): - """ - Warning: does not synchronize the deque! - """ - if not is_dist_avail_and_initialized(): - return - t = torch.tensor([self.count, self.total], dtype=torch.float64, device='cuda') - dist.barrier() - dist.all_reduce(t) - t = t.tolist() - self.count = int(t[0]) - self.total = t[1] - - @property - def median(self): - d = torch.tensor(list(self.deque)) - return d.median().item() - - @property - def avg(self): - d = torch.tensor(list(self.deque), dtype=torch.float32) - return d.mean().item() - - @property - def global_avg(self): - return self.total / self.count - - @property - def max(self): - return max(self.deque) - - @property - def value(self): - return self.deque[-1] - - def __str__(self): - return self.fmt.format( - median=self.median, - avg=self.avg, - global_avg=self.global_avg, - max=self.max, - value=self.value) - - -class MetricLogger(object): - def __init__(self, delimiter="\t"): - self.meters = defaultdict(SmoothedValue) - self.delimiter = delimiter - - def update(self, **kwargs): - for k, v in kwargs.items(): - if isinstance(v, torch.Tensor): - v = v.item() - assert isinstance(v, (float, int)) - self.meters[k].update(v) - - def __getattr__(self, attr): - if attr in self.meters: - return self.meters[attr] - if attr in self.__dict__: - return self.__dict__[attr] - raise AttributeError("'{}' object has no attribute '{}'".format( - type(self).__name__, attr)) - - def __str__(self): - loss_str = [] - for name, meter in self.meters.items(): - loss_str.append( - "{}: {}".format(name, str(meter)) - ) - return self.delimiter.join(loss_str) - - def synchronize_between_processes(self): - for meter in self.meters.values(): - meter.synchronize_between_processes() - - def add_meter(self, name, meter): - self.meters[name] = meter - - def log_every(self, iterable, print_freq, header=None): - i = 0 - if not header: - header = '' - start_time = time.time() - end = time.time() - iter_time = SmoothedValue(fmt='{avg:.4f}') - data_time = SmoothedValue(fmt='{avg:.4f}') - space_fmt = ':' + str(len(str(len(iterable)))) + 'd' - log_msg = [ - header, - '[{0' + space_fmt + '}/{1}]', - 'eta: {eta}', - '{meters}', - 'time: {time}', - 'data: {data}' - ] - if torch.cuda.is_available(): - log_msg.append('max mem: {memory:.0f}') - log_msg = self.delimiter.join(log_msg) - MB = 1024.0 * 1024.0 - for obj in iterable: - data_time.update(time.time() - end) - yield obj - iter_time.update(time.time() - end) - if i % print_freq == 0 or i == len(iterable) - 1: - eta_seconds = iter_time.global_avg * (len(iterable) - i) - eta_string = str(datetime.timedelta(seconds=int(eta_seconds))) - if torch.cuda.is_available(): - print(log_msg.format( - i, len(iterable), eta=eta_string, - meters=str(self), - time=str(iter_time), data=str(data_time), - memory=torch.cuda.max_memory_allocated() / MB)) - else: - print(log_msg.format( - i, len(iterable), eta=eta_string, - meters=str(self), - time=str(iter_time), data=str(data_time))) - i += 1 - end = time.time() - total_time = time.time() - start_time - total_time_str = str(datetime.timedelta(seconds=int(total_time))) - print('{} Total time: {} ({:.4f} s / it)'.format( - header, total_time_str, total_time / len(iterable))) - - -def _load_checkpoint_for_ema(model_ema, checkpoint): - """ - Workaround for ModelEma._load_checkpoint to accept an already-loaded object - """ - mem_file = io.BytesIO() - torch.save(checkpoint, mem_file) - mem_file.seek(0) - model_ema._load_checkpoint(mem_file) - - -def setup_for_distributed(is_master): - """ - This function disables printing when not in master process - """ - import builtins as __builtin__ - builtin_print = __builtin__.print - - def print(*args, **kwargs): - force = kwargs.pop('force', False) - if is_master or force: - builtin_print(*args, **kwargs) - - __builtin__.print = print - - -def is_dist_avail_and_initialized(): - if not dist.is_available(): - return False - if not dist.is_initialized(): - return False - return True - - -def get_world_size(): - if not is_dist_avail_and_initialized(): - return 1 - return dist.get_world_size() - - -def get_rank(): - if not is_dist_avail_and_initialized(): - return 0 - return dist.get_rank() - - -def is_main_process(): - return get_rank() == 0 - - -def save_on_master(*args, **kwargs): - if is_main_process(): - torch.save(*args, **kwargs) - - -def init_distributed_mode(args): - if 'RANK' in os.environ and 'WORLD_SIZE' in os.environ: - args.rank = int(os.environ["RANK"]) - args.world_size = int(os.environ['WORLD_SIZE']) - args.gpu = int(os.environ['LOCAL_RANK']) - elif 'SLURM_PROCID' in os.environ: - args.rank = int(os.environ['SLURM_PROCID']) - args.gpu = args.rank % torch.cuda.device_count() - else: - print('Not using distributed mode') - args.distributed = False - return - - args.distributed = True - - torch.cuda.set_device(args.gpu) - args.dist_backend = 'nccl' - print('| distributed init (rank {}): {}'.format( - args.rank, args.dist_url), flush=True) - torch.distributed.init_process_group(backend=args.dist_backend, init_method=args.dist_url, - world_size=args.world_size, rank=args.rank) - torch.distributed.barrier() - setup_for_distributed(args.rank == 0) diff --git a/PyTorch/build-in/Classification/Twins/coverage.txt b/PyTorch/build-in/Classification/Twins/coverage.txt deleted file mode 100644 index 7197395b4..000000000 --- a/PyTorch/build-in/Classification/Twins/coverage.txt +++ /dev/null @@ -1,3 +0,0 @@ -all api: ['_amp_foreach_non_finite_check_and_unscale_', '_amp_update_scale_', '_copy_from', '_has_compatible_shallow_copy_type', '_local_scalar_dense', '_log_softmax', '_log_softmax_backward_data', '_pin_memory', '_reshape_alias', '_softmax', '_softmax_backward_data', 'add', 'add_', 'addmm', 'as_strided', 'bmm', 'bmm_backward', 'bmm_forward', 'contiguous', 'convolution', 'convolution_backward', 'copy_stride', 'div', 'dropout', 'eq', 'fill_', 'fused_sgd', 'gelu', 'gelu_backward', 'is_pinned', 'linear', 'matmul', 'mean', 'mm', 'mul', 'mul_', 'native_layer_norm', 'native_layer_norm_backward', 'nll_loss_backward', 'nll_loss_forward', 'reciprocal', 'sum', 'topk_out', 'view', 'zero_'], total: 45 -fallback op: [], total: 0 -coverage rate: 100.00% diff --git a/PyTorch/build-in/Classification/Twins/pcpvt_loss.jpg b/PyTorch/build-in/Classification/Twins/pcpvt_loss.jpg deleted file mode 100644 index 064bb520a94e489d109948f6b1689ccce9f77e01..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 38578 zcmeEu1z1~MwsvqRRtglC;_gy3P>L5Q?oiy_p^z2|Z7EKH;u@UbZf$XQ*W&Ij;ZHkv zW~jDj4$^~1 zoZ`s1%0?(uPIz3eBhyi-pOk*VR~b5>;Wl>mN4xisfRKoomX4l*k%@fNpu|&2 zDQOv5IaM`v4NWa=9TQVCa|=r=YZq5HcMnf5?|?UfL2uu^4~~ld7!w=!DLx@1GYg!Z zlbe@cR$ftARb5kC_qC<9t-YhOt9y84bZmTLa%%e9((=mc+WN-k*5T3d$?4ho#pTua ze!&3{{?x6%^z0Y?!h!V*9uW}%5#@Wo;NU%A8v+g@(j!jf2ja>oMozd?T(42_ozMyP)U&^I?63Wr24En-!7d&G4gd%^zhcOE zb?^VS{~Lq&Th5&ZBKDRH0t23DY2ZA|ury?5biD6tzWxf6>vl-qKn=cVQ}l^jYPDaA4N+ZbdHc zz&U8wNxqK2u$!(3ifq$ic0OBCb`^7GV~8vbu9T*AL@Dxf)b^caqIEpDjTG`Rc83P} zr9}Do>MtfMt(`C>X5t|Y;fVfE)#|)Sz1zADr?%T5%NGnkZ-4y zIk26x58!@&6#|+OrO(D zb>QDKrJ~oE^hmBzuED8UBz079nkO;$!G06?p1vo^WrLLlK4;{`2PpnTtII0Hbd=Zs z#&?MyF17PHiU;eSu%VSXuYQI+kr{O0TJ+_tAU1#RZuR4t1$Q3}x13fGnn9lpep5-9 zeUdb;7Z=jJB77`!pvfdB;)-{0+c05sm@q@Hb4SaA2TGund+V$jVeC^7s(1N*+FU4y zzJ;W>E@I>{g%>U2gY3rTqm@WOYfq06ZAd!RxkGm=$O`r*@qJ{+S$O9}98P*-YAP*U zwee*T3-E1Cu@;XPDxIjcM{XDosawl!hIz}ZBXt@>`fxeoRk(_XBe1mi6z6l?^e&{U zq4=wiP7JiOg2qygFCo4eN^#_K3dIKU=N{4Q@%2vqoJSZh zux_n=UD^cs-(sNW8(eZJr83cku0|e?z7f+!sBLEs6=fW};Xc%C?a&!rEF*a6E~=T} z)NC2|_{!AJb>dL;gT*17u(FHyTZvJgNIQ!>Bs$tCfz;k`M+!z^a_`-sEs+;pU5*eKakDcB#=i#rmjYRq>_bXE93YXo@6w*8mk=pT>~pb z_aa=w>cmF(6H<1gmGux2$)gq|xFF@vNUx@SYtyifB@acTmmVg&&b+7bgpYry>-Fdb z$>YavhyekeC;5I1hh*b1ZrPiH>RBG%?b&-(o7^$MJmPVYon6y#q*$_#@go;OIEGtw z?disDTBmbd^MorO)Wc@FZkHb-Q-{ZN0!VWS2YB`g(RdsPJwa_sh$B|xr2|&pgYEih z+VC;amMgi;0b#EOk*iXH!9{HGmESV^UQk(B?L3XFcO^4NQD|R*P*w$`7 zT*#qR%g}g`w2Obu>ul$eMxcJ&rx(!btH+vWj~U)})zyV~xGQvc?9`$C+nww8tW#fA z?n>xZjRwy3dYp|{!!s)=GP~TH%l<4o4XSH}NTZOdvZ+nKd{I&p_in#J+b#omGAy9p zd81x_2Y^dM&6sFVDz=_(5QN`2JF7FBDtD-UPcCb!judwP)raF34s;=Xs`);X0xEKC((9vtw<8E3#4hKdKnVrcmqAPo~M%xgI^UpMUK^Nkqf~AR@2K$@5H=9OkL_l{cjtnlMug1)s$zPW`1rB1- zGCm0U>T!s1DH|6%q#KsGlkapHeL2CHHYc66v4B~5tK@N}07(^oFl)5tHM#4ETkMrGNg;I)m_6$Eutt`zc4~0qOdz6}20#wPdFFvOOzk5k~sHBgK!E5xagM6{J5G&dGCXlCeW^p7gfs3 z+e{hV0iMPgzpF;H>rdqV8kM!4OC6vCB|4n{P#^);63va;nt0gRE1az!CHAUDWBPuH zKzH6UN*HtWaHTGxDEUQ8%kXTLcLREU7j5Pt<&)w2lOk$CD59t7xss&hSQpNvRA~wl zis-LH%&D+96aa35)nUQ{=?jgq>3J+3IJs8p#$JeGCtUa{xD#tsg zIBa38t(L zuJSqj)fCvwLQz9L;T(vQ-mI*9P)D{u-h9bhB)!CrX*JzoQ=`kr{ca|>N`^M1Bw=MzJe2$I2S5&v=KA3rhyyaS+O2Q+V}4*?J0*`ajd7h*5T?f_39@9zMwa6pGVaDzY2EA{;+ z+y?FdUlA7fukc-!ZU7(d0Pi#Zuj&6c>i;)k{(m=9>rlGO!H07M4;P=2#==r1WwBif~^qKvlxBrXr znD{C*CZ#AxPs<=TYWy39b6NysRYXc01-Xzh^gb1yy7DVz0DQ?WoZTa^K?nDKFfR#V zOc?W;4}dW*1Jt{~PlfKmZL^r`-V-@qVzzng8~dzy8tk zK!EFyri{EsgvS!!*PHP~|1z&l{dJoDnLo>S25U7BxBP7(sCkFL?hcR<`$~}MpQP;q z10;8VPUIQr*E$bqtb{(9OA7xTAOf@cHqdqdmL;f85WtWT{CBo^mZ2wjJyewD_s~gA zQv$YSD=JN78}DB+CS=H`|AI0BQ;=_7%|E%Vg2-Un0>Q^i%Hz8C?`W-(uh7NJDuo6o+4m+kx;VnrN=g z>egRU7|Wa=h+V$!{PN|7!F4IFwVC3GIFAmBasi5O{L7ECdKuJQnWrw-7NZSUCSE$& zebs(OXsDAK33B%8#%_|rbDpy996b@y)TkOpimVBfy4Ig{kG!(A7D!lM zVRtt?8Mr3sI*5e@SZIc4y%f_6KK;l1e0Kn$+vLfaRJ#WA)Z(p3GC#W~b36rPDieCa z6pXAZHftezOaxy1fYQ2@K)Hy|2vHnxyNR%#so5EdUuwR;5g(%>n5V1{g?&d?F;cYO z0F4~_B0q#SGyo8Jw$T$PupN9h4d@>}wXxIQA4XkKHE|!0@(M=QSC^$mJUqr$0$ct# z(?^4yYqo;3zB|AqECP(JK1-S1Jra&-zX74dukP)JHJE2w@+5}R8-#VJRFxbw&+I1j zt!daWlBp4ye5O8U5ko;_+gTodCF1bCv!MmILzkKn^&3}j19ux*(yjR16Ovw2#b{Ub zN#ne(@tws^4a;<%J=i3Woh@=kZntK#dbBs5xt)1LH7O_U%0Rrky_iQGu?=PUe z5g$v7Xx+L4c;cwDvE(!yA~g)BJ#^327q}j#aIjwA*s|g@QJ2!HA=+){BWuI!1B$u!t4s9JqVFQ3+yxz< zvJ7dv$4;jY8%(clQrDu`y0r3>Ws*ktoMy^Zjk40!25q_51UyQQpIH+i4N=b@win$l zzYzfy5Y;Km861rqp76qOezx`RgZNkhUx){v|qjTmu6cj3`!Lmk~L2i{T6!T<&XF$8Se(=8^ELf$b;!}3&ft&D;; zkd?5rEaoT|jR{*9rj|-xS}nJaRIqw(@|{E7{6B?dlA<0+h{D}-c9!Wx++{*r2?p%j zAg@0e%dU&nYS7KsZQs*23Y#CzhxglHMSD!XlHgvwq(0ai&KI3GV1?mld+vUiDgEG_ z<{^e7vf`Mq#;7w*DNSSvY>H{QQl9VtsA42Fj8_0KhkSjg2odwl+MF&9)>TQ6W!Yh~ zORo%K_~JbL^bOT3uHODxi;0o~ii0GpL+veGgDJx)JuTFbDwp;qrw3J&-MhwxL`}~n z9L4(?5OOkVr*5>W61?^1EvLa1!?Q&d55ppf%p+e@vQ03CAaogp5KoL08$bt@XhX-M z_b6MO@g8?v7k&;;=K*YkF3zHF*P-VBL!i(9XpaP40J2A6%8~BjV5E2c#*VJ`TIpSJ zwB2}y3vueD8Q?ltv=PMgwiV;0c(JahJ(XV{Ihz|Y#TrUIoP8f8g*I5sOq+@ZQGm;l`(6m7L2W@$sLw7Gk^BNS$IlleNtl# z0gNBYWREsCSMA~*gEw7Prh_U*jcBUQswrJMUPL?%ouhq%H7woxc1+1cGq*_9YL18} zpoO@P(7hTd2PFZ9N3L$p$5MkPw$ zdRr+0hbR;=lEZf2;0@FbVPkmS+RiCg53Oj~Zv1S~NOP`H>GCXZUm+$t-Ns9>B;^Tf zrc;u$OMsTZ*s#)^?CDmOUy4p*uIf0m#)M)xC^bG)5>HdR8&6ph@UODr!@PROiQyjq zF}{d6hg*t(I{GWH45CF6C=l@UN->!xWZ%fTzctqUy)4bSuv)a%v>uHWZy^_p2`V|q zlW^OU4aS$3!1ZavK2UqOC~P?5jtviU&z?_6=J^f#PDX0!h?7RP*kD*uw&Y6zjP`_v z9CD_nI}PTCQT0L|hH>POC#hT>fd(p?6JX4e{AKF#F8f;Z@{=4SJ3eeHeqRrIi0(DL z{&3~3;=VMo>sdllo^YNAbNfLjjtQ-Mfde8{5?RA~!bZcd8c{&`&HUi)yTFXi`wH10 zv$jG=R#bi0I+t(GfMxgYXUgcHu71GhehIe)6wk1AnM17i;DKy(OdTsW4V$#6iN*YcOe7enh^cL330s11|{?u%#j=Y+84yshCvLCF=5@gDq& zy4UVL$f#ZjrlZ-LUjE>Wq%P}Y2M_5c52nUwzZCJe*058yl|4kF|E8+ z*~Rr~uqgSsgZWsch~kV?%GuF0$>SZOd3gs~viRy+Fhk4Ux&l%`(;f1ei;FL3s8|PShDR75MSs3 zxC3+v9ZcN%?>3*PjL*sp&2Ts(koAg*aLE=b{p`a*6iG?E=WzeTh9a;Gx&+LCCN&lB z0K=U&nGl!uJHQbfjIx$MlJ5ZEhzV&iBs}F`Z_mdowOsY7mY{wbw3nLKyMydY*0;_C zz(duGFRUni*_JyriNo^Y-wZFXFM@}Y)RO0WTm;LUG{W|cVY=Z-Ud1iv-hS<LVje z-OX-9-Y;tFi-qK--o4#?$a)wSn2$wW!)nBN2k`j_Gwt$Ajf%;%Ob<)b;c+ zWl8+V5@ks|fQDaXP7^r00*5Q>OU$zQ1|h{kpQQ@d+b4xws9$pPkW{c9OvNeMKTy$4 z)7vE}O>zl~2NybEdPQ0lTQS&;mkWzUp1%@6IW0<1v-Xj*cCYNvAn&*5Z}bmlD8l#} z%#a5EKVU;{zN)$+UcdQyaH9`F?Bq0wCkXe-E)K->jbYOEh{>T^D%%X-Jv| z`pi1=m3I7DDTS95e3XmI1xQcdz1xcz!NJAG@vNGI0DHCjZ3LkkA!R@ZqNCt*B=%pb zBYylww}G}?+_wcePN`QfgX-jdQyXbN6fK$N3p;vJzfWg`S!fb9%#RRm-y8^RNf6xd z=FtFG_q)&>xv@XG?zr;956!*~ef!xg|GT25kVb#ei zD;Zv_c4yhDbyoB<>AJPvbx{t@^wDlKEWW`EOBik_@&RYS%0L2YVAD7+;`^o01TO2+ zHyjjAeW0>=!Dd38%iwZTu8;Hx4yH$8BNFGz$I9uyPx4w?x{7hFzc>|P8$YAE*GJrp z@|eaMh|s1Bk=t&Wn8xqfA}3_R3EMoG0Mt@s*g2DAZ&z@nb9>cI)%BE==WA2AGj^{b)5 zI)IJbzbniA?P$z4*nsbOn=B%-LFTMxs_q4@`tXhPx15RzH}p`!mH{pzlPV;ByT^}1 zxV_#ACC2VYDB28eq+u!PRHbST^IRwHV;J=Kl9Z#`Rw4%bs5o<#y;VeQcbvN-Rck^% z*hwKDW*hfZK`SmcZSZ`cO8LQ2{hr>@Zlxyc+=P+_4ANu;JC^6(c4kz*%k z{5JOfDhjh=$rl5Zk>mB&>%tCq07?>v>wB9ESK64auD=2aO@XCdIZu}K;T`OoXKwUI zk2((64}pW&$8D}$GLcflGGCP8%#A$(ZoJ(W=KSNQy2ZG&jA(Q(N~9>Ae~XDS}dT)~sdOw%XO0ZxqD*I29~o?*nW8{s_Vr>+*OevZ^%rt(1SaH| z?mOEk#1-Fg+QWc61cv5619B|QmgWsnro)GyJT+q+sLAU)`mPo=)%74b(AS43G7TGX zRYy7k=M-E}i{PySow`c4Z75tQ8E&}69RTGNR_0&E$L;n3tvI8S1OLGn$7uKt1cV|h zbux3lILQVz8vc*1_Z^*)L13U<>aL(dR_jWGoYDj-wDOIfx_ME7?Cms3#T?!hy~AiV z%uLq)=yd(>I{v@LO#Uo{{Bk{HOll_fCkW~y=kdND3wka6ZD3Vj#7cd7P#?(6BwIh~3!>&%sjeO) z;yJIq*V)4pi6x&Vf?Z`JS5}cov|QiR)bPBT;DM2tzzpFxN$UwRe4kP4KB&A&SyimR zhy1ZmAfB@BC)m@^2pnm1*ign0EN}9X1yAck#f?4#dkdV#H2J5PM{L1l~6!gJ-l7{MNInVOWuPIk!~jU7~3UqkIH(Z;{E zlUApj(N?h>8L1da%!8-yxJCin@SdG7&RF0g=t)2X!ts(YufoS2d7LR8NA73d2; zY$X~pU<1kI!rv-^*-msSo~|K+?sO|xz(kif9&G(!i)&u~%{7($>SwXl($QNH=HSMx z80M*-qiv`mcU|DpZ4o5%5=M7`ky!J15*I-asN36fb+ z(&0sXF^=@qY8C3b2r2pFD-E#e#fJd}hS?dR!r1H1K+faS{^{CjH)?4i+gz3N7OBo{_z?oA*xD&*VTALu@?qO#{Us(y95mJK&>4HgB8l% z!fSg@&{mUIzVACB`L+7kP&z;E@l%Oj_j=n$Kt;nl06ElcOrz4ZLWq4pm00Ikss5%y z07RhOXLsg+qm{kg_;^i{;%FTAeDqcTnC!}@8L==W;bDLMEgm8LjF%JcBMdPJDbFFw zH|(IydWCPvVqfEDZQ05Wsz>VX04Y}4Irv0Eyd}I0vfWIZ`%nvQNtcIBoM9w^WfQwJ z!;k^EEP)`UbHkkV%ZX=&ko1@UMj}K~eXb$=YEAD{+Q`bhfwI zTc!mqy?GwWdB`ANX6+qOG=K(PFstMjM!Sb~1}j?`=$55q`eKG~zK>ZLhE@Ubq3sf8f>yjF(xb+YD z2m3ipUl~~-P8gMS75ovKnl&ljm8E$ZQzBWsOl)IL6=gBffmdtp z2Mz9JNj+vfu>+?XcK~?iY=~});l@0}p-7x00nRKeRMjV-xdSk5+34H>NPJJPPdU?X zc1YD>*j7xRKh<_n@Jj<%5PjbJXd>{CrmIL>-zBGI`(n=w|M&(_|qRp6Vl zNv4bbVJsJ|@c^ea|MS>|iTFw)S~l%wxBXi$0?XV*wUKY4cNL~az@5%NlSR#vtq)x$|iGj2Po!dy|H48#EbO& zpb$H}`ux+%JBJ`=6iNHmD~fi=g@i)FjAHcjCW=FjQNvx_=o`x0u`9TlDjPqo%oJ|Y z(yVvh1tH}1_b<(3rqTIURwLh z(xyKpin`3gPz|i~Xq@uQO$On*c&?H)@r>6MS9S z6q`OllKOWl0%rQH?B_mysr~V}mB}kTS$bX}Bk3>c2?6Ioox$h$PjUfpuTZSl6uJwn zHYzS*m2Zae!^5FG31izwuxgS!z$43y;K{$6l3#_@ut{GedQgbF<9eaeX5$d`!Qs70PRWc@NXRO1-*@Pw9Voc5EjKW~s?P&$GFQ{A?>+av0~k{N)M9>6 ze28W{a3fCeVd3Lz)}u@q=P+uHfaI6ln3$cx$_clgzmC-kDcJsa*$lRloX)6?G4r-x z7z^!YiVgR<&CHlGu%NTV85j)%>C`_TOODU*&=i-%Qz87v1ngf6-xI&(*lf~%%L)GD zMSt*Oh|#ZvCNLeA6jYTDo5IGA-<_bZ)M`;3jV8V(4p_IRek2QIAQKx93KDuN8A(JY z!HjX=8%OW`h26KB1_`irm5xTT)fut}r=(?OuS;lXWC%Vrb-+X=0N8%jwia_66*1pq zX6NQ?TvJo^N=Yy@L`|9qv!2E!&=}?M9{qu6kw>AW%B=qEhln`mHjG`uFj;EVSEl0U z6cA0o$)W{bTnfqPUbJjIbXK`=vt7U1!5qW6FaU#?vZcg80->YP;NUE1nzr# z{2cFC@4Qy1c6a_wKH4;VMu_RjwiqEf_r%Uh(1N^{8=NDrudsuis1r7U6U8Z*541dc zvaR3vw+kE@(e9zq00d};$ITnqz$2KI8QijtU#UL(wu#7|bsXmwh{_1)oUtVdtY!M> z=`zD7B+qBktBEvwrLomNmNyitB>G znGR9l-@!T3>JXrl*SGD3%k?}O(<>B2idB6D*z)-Mc;RS$j+v}>JgV%Aiy)oNp@59K zqymfpogN)0zk;jlUL&w9yY!Wx{|}7?HYMSdR4p?~ed6s}?*JCJN9jA#PO3ACaT=w1 z^s_Mt;jQK=8)Z_R%S@mBMI=>*DTBK^wZOyu+OlzWyFQbi?_Z2P!Lsjs-zTo0 zOzQ+?tk<{R!^Y6&mZd4nG$g#d{}oG7$=GxG#%h9Ko_#bzTQZaGqv>Ox_Bz>@mHUBY zx4Ds<2W3uK#;P^`~-LX&`ygZ-2Iar|2&B(7gC)ZPSa!JgP|1S3xQ|@Pk z5^zTF=Z#;1mF>H-_Mw{Y5+>f_^M6U}`Kh7Iij=K?-f=deqyl?Z$Kb?EaC?E6<` z!eu-&wfm<&o3RpS3^M+_JG}zt1%gePxA8A5(AH$MXq?vfOGTJq)mX}aQW~$z_~%a1 z<0Wy;%96mhnirGvqO1IL)kA&+G%%$8Z4u@tU%sb@v^jMK?3S$7WxA?rU(1(lka<#oZ8Qw(X=fjzyIJ-n zdOeiA4xWK#uLGSqdQOZwA#TR?2eI|pGoeyT>oQG|X;aP;gr*&x2yS15jq91d z9tI^{g$LQkvfO3>*d9^mx~_-6H1*@HWUSAX-RNcdqTSD|WA?o*pRV8ePZw-32JTxgOnOTgdfCv?1+j43A@s&j&nms( zH@#(kFwj;V=SLSdsXdcSwRB{I?i2ViUPmj_!ksz9wp;MDUvs{q!N|J~6u1YW@t^nP zZ;dYM^;yE<2`=Micg)oeAFlN!P(7}^rIKg%WwCrPH#=n&@x>NDQ)bC{Br_niu(RhC zXOL=&CBo33q4)QuB&6mlcH4KHQsUDv*5z51RFv0*IqY1WLZ5 zU9s+(wXsrB76yUui-_C(Up5SDIA~t^A&(`jt$wJ}^=p0y3+_u{Prs%uKi#Lvx|llK zQm9RF={~xqPO*~&(^v8!no>q4%gNsDN+0J?A&UctAx51ypvWStZ8Y}OB@z z{J)U3EXw=hL@2pD70;1PJ$A9GrcFy}lzEJb;yp1?luz+<)c0(Q_E!C6quCMmL;S^& z%dD-08t4?G%^O#YRY4u7VoXFLSTCL zN1p=bnv){N*>{Fr3&Q!p4=Dg%b0FL%+mgPNe50H_crV9fV9>bAb(tdccKTC(S!_vI z@_eA3%HB*XIr~t>jP5%K>n>5TJ%%D7d;{g<{pgYTdg2@tSmovms`l>r1!}|&Ld07o zRZS*qSs{j<;2dPgYCX)4mGk_{nf-)y3n-z&mMvG^0W=S;9a-s*i#l$(q9afS?*M{Z z+tG(ag7oiP?*KTjp`q0~9$BD!oZY2oC|8;qs4q|{13Iay3W{^Y}lk8VBbVHV}d5xX6^uzuysXh z{{Ti9T{NrK4&AW&_*yEPDSTLy2^^=jP`A2wj+#|Uu`?kA-cp&q$dM_nKGZXK6ntoQ zY{L0jXG$F%P3>!@b?m)Q0{!2@Vn(-hCeFm(fXu8lm+Ypl@yP9aP4=BRlVHWt-Mam8 zDGY-I@&{F5umt{Wxqc6A@D~#HsWs)Ayp=t(c1wisfzglRkl$;szhAb37`AH+f5C(_ zo7dKjQ1re4hT*mpuMVv1OY#nxhDMHZaXk8XLIruS5@o9PR#;DF*WS3XB4`VF4zH7p zWE3Y-Rg>`>pD%13%JYNK)=2Al-%N_7*WpT^ll*wchE#;h$|e~HQux0o2%l^Hn~B4P z+PR5jH}VF~h8)hC>uNfT0kMzAtE|yWIjSOeBZ*g^U;1+fZWg8Rj9 zN_ADwjn^mALzVpGQWd5KJBTHTJBZ&rg;Q610T6^!gy|lWf4)+G@74dTpX^DyjnKzA zj85f_QV8fPf3z6eOA)`zh7rY4lRE&b5zy)Fx7U}NN?L*oZ(+cMZYQraij|rxRz#6R z^#DcUhK8J3$64XAyv1d_+6M(iq2kW@j9SLU!|YUCJ!z0x9xBuXE}+K>#SwL1*PE`| z3NneFs3MMHTMER+_0YfrD}Z~G2bb0PyT?-F!7%D#{`#M+Z28wtrT;E_K!_P{9u#&; zwFTy2n&7m*#`6YnFvpLAmdp-OGPrwA2TLa6M9x?c}o`ExPJtqJ1@zXvO2&GOmv zbWP8d&$+|^pE-)gjC=n^kXzI?V^8AEJz+*0(&p_Vd0iQid!%re#&t}qFNL75mzwWy zzJ24RarS7t;pGAZ$p+J^%YEYH_L&7(rs>?Uc*70mJxy(YO0zAtyj84`8C4{ZMp-|t zi+7%qFQwHFt&SGUHrBBke`2&xWn13rXyz@JG!hmOsG42?33>2^QDv#f?pDX8hv#m( zpiwstuN*VOF>0og4E{|W%W0^n8h z()KaOD3X4!?Zrp>eLV3`u|6rRQu~npA`oMa_4J)^&dG7+253J8NW8U;-6km6UIfmW z3@$n?>~gZ#TC`Uk0X~Dqs4TQQN(fGGSGid6)4wt&dfzUQC|H>(Fd8Gk z%ZfWjCW7~Fn~FITS%U}zOB}EA_25sh=^y?7KRsmnVWtI*w@DsDT3sIS^K#(jYAZnG zsM{m&2oY;5!b00_@Fe_`u$<|J*zR=|!*`-&jbp+>`I7ktyaUr@y-4_Sx#~}7>3c#* zlU^xmzoLDYhOIDq+D9*`HKRVpQut8isrlA7DlBO|dukC$*&OQxzhb+yWG?9V*@BZH z-?UkzvtURbweT3LjX~*11G^W5xy{W1k(I`r4~xb=IA2;t7yXo%;th`#4?BkT)a?C< zz-JQJcCY*96DA*%sZx+I`(eT1Q&hp z0Dj(@4*!_s+u9e~LnRJM^b!FZlKp*0sD*w%{=ddbGkkQt?5S#^P*Xf5P_s;tqCNC;a{G~;#=#k{m@t_YA97BiqZ^h< zeHq54eOdWp<~4c)EKk%#97HHLxo#>>VNd@G>MxP+VPkTX!u zCBa5UaObZ$ezC6w=IzJW5q}e>{`m&d!%Gz{eQ_TP((!%+>KF`hlrVvT;lgo)c*`rj zYNs9=8wcJmp2&NC_8Fxy%j!H8-u#z-*+Uh174rpZ&A`D?7^5<|pYhjHPz3H)!MY7^ z+P1^zdjYmGpwNMPK*3IZ&32A7s|FD(r^qPEdQ|Dfsq8J#p~zun>?cth1y0Gif%FJi z-cFTa0b=g+;dO+cJ8%)nL0QsF zKtQ%D;VTo)zg2juuX$8EbTxMYgb)!V(QSvxQ&+ z0&^Q8M&>kFwSwH=6F7eBGveQr5nQoVU`^|6!d5Cl_@;1+YtFmUjt4@BElz9yp~#8*@U7++*mNYey@g*B?O?S|~zdxH7j z>%@OGP}F$IvZaY5T;Kh4 zaj{d#)O$QoWsGOCQb+|LsCe|Cf(wJ;id5gJXU-Ejt5lzBWXIj`FQLQ zH2i9G_+@!`g_7=8bI;Y_k0SF&-w|7VznE%dhrS_ciGiAJL5!)**^dRb_Kr-bMH%-) z-0|Mw4M%!E@BvV+&S@79KAe-Cy!UY6dIq`X>WR_dQPx`atw)zR9AkI z3n%tHw*wY%>FRWROQZG#Rtd%OyXO4gSwyiatm(iO?_sm#!^29Oy0~bd!TS{zo>Q_rrzKdewWl>(b(?_b^k1}{TIk*KlN6>N|^pq&-(QW zjbD(9U#;Ny^XHn3OG^B5hYu5%5UUbwEHk3en`u3`(pMEl;JScvTN?#$F7-R}u-uHZ zlk=vm#|vCcoTFQP@-}=?x3EhK-1-eKp3KX)fU@S~!G;u#v^AF$w<{agHT8#KpWGE- zH~ZckGWAzRhZR-?I9;k=Kkius`K2D9o<)VXH`y3o&}&LM6L`N34a}-m-t@MsYX$cz zG0RfJ^&`)7>pzUn6EC#VI6qrIccI$>xt^oUk_N}CI%zWTswID@P?j|RUg7kY+y#DU zVGE1qv|pwJN#~I4YG*E&96w69^;C9^d8j|%IOVI!e(WMMoz#lA?5Ek;AMO_LbEc1T0yUzqCGpfFc;`$)v)u0mqZxYx zm}3w8`M_?uo>69xicODpUqcD+FZ!9foa70cxv^ALP2(pT@2f?3cS2F$vMt0>z^Za% zOSQFIY~Xi;@lXQ>;euxtbJp$v>=&TUj^(^niUBCeG2Qoh_~H-F!#~f*pS^yUCXZ&M zt(MTA(yc#>_IW+_O;`}B2Xz}&H4UYEzZ5A!ou{EX7%-|n5=RqFl_jt=*kkh!vTI!X zI-rdSMT+bT5k9LEl(>-?bEk=Llq@ncGU2Q2W89~TVkosl(By)Wj4T0K`(z}=mxs*; z>97J|;=hXZ|9-;tUp1Nf2k8;~pO3F4Ly)^~0agpa?$6 z9&;5C4k_9#y_PI5R;D`QJl)h8w!SGgH`8F79hw7a@G}(dqNpiYNK}jx5XExnVf8*X zx(v|aO^W_d&J*%6$`Xd55XJENYDckqR4@Z}Lsd5M~H9uP;kg$?rl%KFt#ZrsPO;FLc~)!(Uc{0^{wMPP*n zc%TT_Qebs4;B5M&Es?2BadNA0^QPl~{;>26;qqGZ8T9}yZmi47he*Q~v2AZyOz@tD z=q=rN2k^L0skdbdROD8v^R=6dU&+6F&Iu0{2L!u?t4_IMRxQ}ABu^ri&*%F}skFbS z@&Bw_7#QcVVRi1Do^Px5&I}{wJ5`+=$G}`BV^oOJnX!(1bUQX1jXGKUq9u=d;&MV? z(uz2gO#{-kjkS-ObN zld7&d3T;`NDpIbFqm%Ls@?=`O0XJ9L#En`uZMJE~YIbG17K#jsbE(aVURwEZ-yAt_vS1%{={>E8P;2(o7M`HEYZ36JY0r zwq9{aWFd*-AqJED<_H`InGV6F7Kpuf;(1t^6eNU*5I)NlmipSKg;m!kaDw-$u@<7q zU{NUDmmkq4uUY8S7@2m&w^ss8zSv;FKP`Vr2W7LawpDh^7}Zq!ew8Gm^~pQq^$ULg zm0Pcj3HKw#|7-8Nqng_Kw1ap7r3r%cA|Sm;?;s*wigXA?q=rcE&4>yjLJ$y9dhZ0m zP(l$wIwCaz5{h)`y%*=WX1z0d=eys%@626yy=&(Fm9uuvIV;&`pI_V0^Zdj#HzvUr z=9QlevTvZe7ee8cJqI=nU^L=HS0-KXHg1HEyzY`*^-%hl3x{yZRwXp+k57sqU8Ou#vo$RylfAyYjR`m*Oj}CwYOq(vgW=l5WHf!PZVtO(pT= zX56GOIn6ObCZ_cMp))i{@k6VZ{=l&HGfcllIaMgc$<^z-{i^|6s%G~`^|%25A?cq$y@~$MnlK zTiW#Wye{tqb`)Pr^llu8gABwGcLU_<93r!&b*v;;B`Kk!K|uT>xlM7*fh9JB1omtG z{6DEK_}et*AD>a=JeHx`%mu+tsm%M*N4{yykR3!9qc zYghLj)^}J=oujP%t5xyJRx;45N61$&{$hYwqZqV-fVVXdYFB}weEwg;0@+B&%TUGQ zRs+N;Omh2Nqdm(!(7Ez%a^}Sn1ucO)leGew9SY%@@p{Acx92Cdt7`gJ0=4{nm`9UG zX{v`0O{`Uz2Z&AEt>u+Rdlq>hbD7OOdHJEhR-#USUWmwj<${1Hv&WaWx?q=kfx2E@ zg1rw(4mCUL<0fiqbctkD9CnP=-(DY{UnBm>-}OkFez#t@up_tw_4dt?E{#q4I@#-Q zpo=cG<&9YDNB|FfTR&IOXrr;|8>s2zb5*2WMUJpsMU8sDmZ*O9j+DF1*JR{k6Si$OqhbUgF?VyT+ugBXx~akqR`t> zg;SOj=DbwuUsAg!%v#+GzH;c{Ebd08RX*1@QFW23yPg%v6Y=93`?HRDE{4RHE&uY%(zw`C&v(qIf<`6!&$rJv z%Fq26PR>F0dKzV~&uftyLiT#lGe%L@z_?%nD&rH%Hoqoja{`)cyxIdOMY=s0WNKY2 zmizS79e$lsF_UTOXap8c>DHv&PZ!x5+_ug% zUpo4VZ4yj%+)I~o6g)mh;;!RV^;ACzGbMf@D>{c(w_=tSP?=a(jV!YpL*;Uw)WWPq zLW=IpMVXXYFVEVK9z1CN?BPx^SHpNXDD42OY@iHR>z%1>ezE0q&XR1;cS1wOKVs#- zXlHN~pLT@(7f-SQ)f@{52l}?GWMFMMq%h_=t?C$Ho83!1SP2 zBdLoA)b`p=Og_%y95bIM4L)Q}>FzAgSE9v%TA+v*v6+_W{{lBrRaYR7Lho$vT~U{d zO|A(SVV`WbZaDJz|G}XDtd-6uYSFjqgJXF&X3wGgo-Y3Bv*YXH`6^PKt>YK(=o>rY zv-!uE#|e=v=^;H-ab-e-VKq-e`ts3rrwUnhHGlvf(Nx$u75XrhI}br$d3KCG=gTLQ zL@f@^)-{X(`*Lpzz6W_RMV3~O>T;_`10xi3J(LJdua7b2X@E6|Y^KeHLJQ+mgkIZ@ zBT1M8W=fp~F41YeJx}q7Jg{j1z_z^t6iWddCt6*>%4v10raNG!wi@oA?Cr^Iuh5oL zf|Gp?2G93Tg=SKya>Q^wJ-;2(euPP|wOYC%x` zdD=Cb09DV(FK^o``DuLjRa!1{giBzjz_PlTg$B<@Urt@C1u}8oXFsM~zkgg(YO9wt zzFM-fm)xC*=SLEDr(2jgftr`sV?NeuS6>o z5$xu)oMCqwc+nHN}{)O+@I>@R{NLkISZK8X8aQ^i6;SLkq z+&S$$v)a(mTI!j_R=e&mLgaOaFR-0ZuKm?{d-mN{?;#UIXPt}vzS8zOm;K^U-LPh^ z0vxPEwpHe(=~qGD&xBt*)M96#x~PC$>jHoS+>g8sY?1O6W)fBHpGbKc zg0^nv0mO;IfuAfY?hZ&7{1PTx~@^7zCgIKvxU zgMkeVVLT4rPi#@wrfbzA1<%8&<8Cx`FmZd&45&NjRC&Nc`}+aOgYT;p^p~(Z{;^R0 z$CA!}Ea>_@GtoQ5pA|QcJ)OT^naOWKRtQ(xD_r#<)|wlKdNF1rs8K9;hK$m(2@05K zbR<2-iPZ<3aGn*U^~W=%cc-MflakEW8+Q*Fc-rpF6-*?83Y?89M5C~hRB+}F3Ma7KZi{rF4aay*3M`t2*l0*< zO?=l6IPh}2J3Uam1^~aGOJY;=QqT2x2@ZLM@e;c#Jf=3Lo3wa`iq1eGL*JHnry^!h z_|-t9R@MY1MN%|T+1N(e5L!I&5jS`;d%BSCcA&U%>E#slT4@llz5&u#m$A8acpA+L zraZd<*XZ_14YjPNo7H}rNxhqrZvR?x-B+lacmI6gF(#KvhHA_(z}xyN?=DqJS+VfK z=CvpqO7IFQ&VQs3E~TOPv=Tt~=5-SdmS!p3o6AWppF5^rPTwe{=LwRD7Uwzbnw(dJ zXp7CTG)$gEeZ9X9Pv@634~5K1Q?`T#zfU3W-Ysxh72H`4OIt7#0oo1ocM)>si`WkBz)O6YM3-!9~v4K(tFIm zYHg-WLEW>CyA>%BJHpG&-?De^-A<>?P`|h`WKJFEXEj!Sdjm$VY^#u)7eHTV=zG5c zCymb(dRCdu2%&;9I#XZzMNbyb3<2rUDD$0^J$ogv)hxgT7#latOu_Fd=R*HQxsX2; zuzxIO|Cz_sk;9Vou!vh;9lef0p%jW+03=gU8EiO;PbDj{4qD|G!7C|h>f{6jlg0AI zuMC=Ko8BK(bHncueG*MDZ#!b_`=%sS^Ip0Q5WM70C$x7hr#Oxr8;Iqh*X&{|rKTgP zb%nZc>B4o@1C?EcH(wvBw-GWL-ZUtNw2t~hP0m!~qIj$*(fhi$#JcG#_|!8{&F3EM zKahvAE}54|HZ~4)zJtgig(ViO+-YN!j|^W~F}9j_Qq z8%dL}gB~wyq7y20-!HGB!@kyi9d=1Sq_RT}?J_Kgj>#wFXdfd(&mh8M>AKG4Fy^0@vh`ld4U4cilurxl+NCia6u3v~-!D(G>znOP=iuWR7r{ASuTnrBOl2fefm6ux8 zE$?3u!w5iK3uf=W*SM#US9Zs+z(8Ab7+Q=zovlUFdo;vqThL{G2fttB@! zmJY{D94mBku8zL_Gw^1T3|7cXO?0UsBslGEz6Azz2|~q$`v#hP*Y9P- z_Qejwhe7!?0EOHpW&LbF|GEIh1CmceCMKv9oY|rA-kj=koae-pnyvYjzK|rWRB(Iz zy|9S|{s(!vSqQP0b_>2ZHY0|}=(z7V)BjhD@N>-Yf7ovSPkjKj-l8voPx^}c1*2+0 zBD`LN^EkE06Z=iR1UgMwS-S17NiOKYv0kUR+XrKxG(Ho^co)C@NL{Z*1z5;3Am!uP z(T|o=L8)+z%;|e-in!zeKgbO4xA0!SG5*)$+viWb>is>XDKE@#RT9&svWDe`JoC9M zd@&~{0BTi_WP8uVEt#nBKEr+IbA+0QI}dQT`OV4FpYJVafwOWgQx9=Bt!q3ivwY(hnqc%Q=6cff5X`XWSZ z{Fl@MvQDT4|JeV= z+Za&-G-_pNVzp^yybN1iix{}4t3+L2E#bul@iU(*G;L%%eFC$=I;6PP1+C)tSk&%-dhqWX{WP!N=SWB~W=GbkCBC(!B@B(Pku?D%3B2%oOBx`u*~r9Sy+0VS z91MSURh(+H{ygyuLq|>?{Tqsu4cqrX_puJOexI3)4p%(BB)CSZzo=j>2y*(^} zemUp;(odXgWdPvhe;JMW`Lg2dtiNyd&&-v-94vFJ&F+zagCSXmx%`#QhxXS@J!tfR z)*!4yjX%F6#(6QhoH6#-ke*_Z`=VoUA8AFpwkQs0*f;*RfdAoq4F4Q^{I>=C-pBK2 zJN~a}lmA)^nB>L)QK2Q)_Tqr`k$v}OhG#^Nz;1Z{fy5CxkxodQH_++1n4M_olG5xY zXyDI*`F}0${qgVl(l#4TF{x8#vlXwKJjD9I{2$KU+jdazCfUd9WIjNI7cOBf5tX@P zkl_NW2_I~eX(8k6CAFJC#@zzA((IfgAvkB>z}enfn~RtgcYO_Hg6E2M^wWDfw3j?m z&gIkg`0Pe!AGk7cZcQJqyZI0=&X^|6@1j#wQM`|x3-CG8-f(Pb-~U6@FhZdjVkm7X zi@|%ec+lP0h>SXT$@bWGv$UIO1h z;p{`~Zv(`&Z_3|n5os;B)nC$b9q%z|GLaM=gU1V^Hf}%#e!|k?>%Q@RBDvSKu+yFw zHSz0Ru^l&G$>Ut{l8-Jf1V>qfJM`Re^yF~Iz8RT^F?QuBk<)joVHYBPx@n%qQ5UrcO zQ|UYj?v5cP9UA1o9>2}}y4~K<#cQgO)(IQ9RK1TmN&uKyPBe+6LhJWNZaq)0OZ{{) zN{BrYhuWx03@Eagv{0@e8%e%k!%Bo@(~!eUNo{eI=M`XS_Qk3kSv8zx!aS&09IBzC zMkf)^&KIrT8FrpcDaT4@kp7`wgj?ammBguP=77k0i29<8alu~LYNbS|4P5e~>CJjg z#b?jcX7O4B8@wbR5Du0J3EDyHzOJk-fS;EtNE<52J!TOltqb>!dia6SlUxihv?%%1 z*qV0fLh zx5Ne9WK3VVI<_7Fb79)z_rvTBguz!0?-F*!DOkTu;8p)JtQt`cRH%TSuNimoZV>-Q zV)bJpM#wOeoSf6px5^rHcrOhSyeuGLOZsW4u*sxr%J2nv-YPq-ouFNRs7%a-OCv<{ z=yDLE$5B)+#}a(=8AldPJmQ2c`a>E+xI7evsaGU;C!gAjU0W%;-+f4949^^r!b>D6 z$zdcTlK%xrp`P$*pLHCQV}*j(D^KfIC!CJeu!;+LE4EUH9#OVY_a3rslvH2A4o8S- z2(Ag1u5gBx&Z1s)vgO2vb6aeUuzpENq3H1uPt0;MKH@N8w%DhUq|rYdrZM5C*GR`x zk^+Iga{xgy#<~9i?ftDxn7aMs<|8MhzmHbP%`+@CsP2|wHOi^~<5){+ji6+3iJF|3 zW!T+=4|3N%($`4U;z(vr@O?MH5Q+Wj7o{n91fX%J%>YGo zHNb(DB2LYDaqWbKX|PFg4^v8d;yaJk8nKJEPh<0QfyKL>PodUR)gc!G(t$*nmYPDbIkU_+&uJWnp$%xe~+p-Rz6)c<}ssA zo^+zyC#aRl&R&$LWlkhZcVOv^@fc@!b#%D)=Jo!)mbegYtN+x>{0B(&U;VS@8|aGv zmg2<;t@BC2iFg8(vtstoWC4|`=4{(S>AiLj%P@BZu?3J;`$9HstLjV)sh$#`rSA$+bX6V>(Cy8tfTpSqoHaah3(u=W2Mc=;B#7rWWLs;w$B#doeKyy2!Ly~@wkG9r6d)Jl zInzdeEobwimxmnZji?l+r5Ijo`&2`v_wmLMm#8Q@VH2ADOz0RN&WT{muY_fyxXC zq&m>2J%WBoNWityOpx_3bes-;otzMER3kU6^!xtn50HBP8Myl2=l(vV|L-~a^X7=< H+vvXmiN=3+ diff --git a/PyTorch/build-in/Classification/Twins/pcpvt_loss.txt b/PyTorch/build-in/Classification/Twins/pcpvt_loss.txt deleted file mode 100644 index 8de4bbc6b..000000000 --- a/PyTorch/build-in/Classification/Twins/pcpvt_loss.txt +++ /dev/null @@ -1,29 +0,0 @@ -=== CUDA === -4.753700 4.585400 4.802100 4.379000 4.837200 5.222500 4.633300 5.010200 4.876900 5.122500 -4.679300 5.344900 5.660700 5.093200 5.030000 5.106300 5.188300 5.154100 4.566600 4.819600 -4.814900 4.924900 4.498300 4.739000 4.816000 4.985800 4.832100 4.768700 4.919600 4.774700 -4.825100 4.725000 4.709000 4.609900 4.893900 4.563500 4.630800 4.856500 4.511000 4.534100 -4.511700 4.746900 4.614000 4.589400 4.583700 4.450500 4.674400 4.564500 4.486600 4.556500 -4.564100 4.468400 4.492700 4.624300 4.553500 4.511700 4.517800 4.581800 4.681200 4.432200 -4.634300 4.635900 4.668400 4.587300 4.554100 4.579700 4.631700 4.614200 4.529200 4.596700 -4.655000 4.515900 4.612000 4.633700 4.408200 4.545700 4.579300 4.572100 4.301100 4.518900 -4.694200 4.562700 4.610500 4.556200 4.456700 4.606400 4.530200 4.587600 4.550500 4.862200 -4.533000 4.631200 4.537100 4.644500 4.380500 4.619400 4.707600 4.645400 4.604800 4.688600 - -=== SDAA === -4.692900 4.691100 4.669900 4.786200 4.629600 5.234600 4.802200 4.504000 5.377400 5.212200 -5.756500 4.904200 5.267600 4.848900 5.355200 4.778000 4.891600 4.623700 4.985100 5.131400 -4.725100 4.609900 4.601800 4.693800 4.455600 4.644900 4.679400 4.496200 4.664400 4.428900 -4.447900 4.559200 4.584200 4.601100 4.586700 4.678100 4.834500 4.653100 4.679000 4.710000 -4.570300 4.717700 4.533000 4.706100 4.567600 4.381800 4.509000 4.742200 4.642200 4.509600 -4.652600 4.869500 4.929700 4.977100 4.976200 4.656100 5.380500 4.705200 5.295200 4.932100 -4.623400 4.751100 5.065100 4.696300 4.717000 4.822800 4.742400 4.654100 4.961500 5.067000 -4.674200 4.572800 4.847300 4.891000 4.689600 4.489100 4.617900 4.634000 4.811000 4.635500 -4.609200 4.585800 4.589700 4.621500 4.572900 4.658600 4.545900 4.592800 4.670500 4.712500 -4.534900 4.585400 4.673000 4.686800 4.592700 4.482700 4.568600 4.688700 4.658600 4.435200 - -=== RESULT === -MeanRelativeError: 0.012957321993001258 -MeanAbsoluteError: 0.05371699999999999 -Rule,mean_relative_error 0.012957321993001258 -pass mean_relative_error=0.012957321993001258 <= 0.05 or mean_absolute_error=0.05371699999999999 <= 0.0002 diff --git a/PyTorch/build-in/Classification/Twins/readme b/PyTorch/build-in/Classification/Twins/readme new file mode 100644 index 000000000..ff9b003d9 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/readme @@ -0,0 +1,65 @@ +```markdown +## 1. 模型链接 +- 原始仓库链接： +https://github.com/huggingface/pytorch-image-models?tab=readme-ov-file#models + +## 2. 快速开始 + +使用本模型执行训练的主要流程如下： + +1. **基础环境安装**：介绍训练前需要完成的基础环境检查和安装。 +2. **获取数据集**：介绍如何获取训练所需的数据集。 +3. **构建环境**：介绍如何构建模型运行所需要的环境。 +4. **启动训练**：介绍如何运行训练。 + +### 2.1 基础环境安装 + +请参考主仓库的基础环境安装章节，完成训练前的基础环境检查和安装（如驱动、固件等）。 + +### 2.2 准备数据集 + +#### 2.2.1 获取数据集 + +训练使用 **CIFAR-100** 数据集。该数据集为开源数据集，包含 100 个类别的 60000 张彩色图像。 + +#### 2.2.2 处理数据集 + +请确保数据集已下载并解压。根据训练脚本的默认配置，建议将数据集存放在模型目录的上级 `data` 目录中（即 `../data`），或者根据实际路径修改训练命令中的 `--datapath` 参数。 + +### 2.3 构建环境 + +所使用的环境下需包含 PyTorch 框架虚拟环境。 + +1. 执行以下命令，启动虚拟环境（根据实际环境名称修改）： + + ```bash + conda activate torch_env_py310 + +``` + +2. 安装 Python 依赖。确保已安装项目所需的依赖包： +```bash +pip install -r requirements_exact.txt + +``` + + + +### 2.4 启动训练 + +1. 在构建好的环境中，进入模型训练脚本所在目录。 + +2. 运行训练。该模型支持单机单卡训练。 +执行以下命令启动训练（使用 CIFAR-100 数据集，Batch Size 为 128）： +```bash +python weloTrainStep.py \ + --name train \ + --arch pcpvt \ + --print_freq 1 \ + --steps 100 \ + --dataset cifar100 \ + --datapath ../data \ + --batch_size 32 \ + --epochs 100 + +``` diff --git a/PyTorch/build-in/Classification/Twins/requirements_exact.txt b/PyTorch/build-in/Classification/Twins/requirements_exact.txt new file mode 100644 index 000000000..7394b3319 --- /dev/null +++ b/PyTorch/build-in/Classification/Twins/requirements_exact.txt @@ -0,0 +1,89 @@ +addict==2.4.0 +aliyun-python-sdk-core==2.16.0 +aliyun-python-sdk-kms==2.16.5 +anyio==4.11.0 +astunparse==1.6.3 +certifi==2024.12.14 +cffi==2.0.0 +charset-normalizer==3.4.1 +click==8.3.1 +colorama==0.4.6 +contourpy==1.3.2 +crcmod==1.7 +cryptography==46.0.3 +cycler==0.12.1 +einops==0.8.1 +exceptiongroup==1.3.1 +filelock==3.14.0 +fonttools==4.60.1 +fsspec==2024.12.0 +future @ file:///croot/future_1730902796226/work +git-filter-repo==2.47.0 +h11==0.16.0 +hf-xet==1.2.0 +httpcore==1.0.9 +httpx==0.28.1 +huggingface_hub==1.1.5 +idna==3.10 +inplace-abn @ git+https://github.com/mapillary/inplace_abn.git@b50bfe9c7cd7116a3ab091a352b48d6ba5ee701c +Jinja2==3.1.5 +jmespath==0.10.0 +joblib==1.5.2 +kiwisolver==1.4.9 +Markdown==3.10 +markdown-it-py==4.0.0 +MarkupSafe==3.0.2 +matplotlib==3.10.7 +mdurl==0.1.2 +mmdet==3.3.0 +mmengine==0.10.7 +model-index==0.1.11 +mpmath==1.3.0 +networkx==3.4.2 +numpy==1.23.5 +opencv-python==4.12.0.88 +opendatalab==0.0.10 +openmim==0.3.9 +openxlab==0.1.3 +ordered-set==4.1.0 +oss2==2.17.0 +packaging @ file:///croot/packaging_1734472117206/work +pandas==2.3.3 +pillow==11.1.0 +platformdirs==4.5.1 +pycocotools==2.0.11 +pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work +pycryptodome==3.23.0 +Pygments==2.19.2 +pyparsing==3.2.5 +python-dateutil==2.9.0.post0 +pytz==2023.4 +PyYAML @ file:///croot/pyyaml_1728657952215/work +requests==2.28.2 +rich==13.4.2 +safetensors==0.7.0 +scikit-learn==1.7.2 +scipy==1.15.3 +shapely==2.1.2 +shellingham==1.5.4 +six @ file:///tmp/build/80754af9/six_1644875935023/work +sniffio==1.3.1 +sympy==1.13.3 +tabulate==0.9.0 +termcolor==3.2.0 +terminaltables==3.1.10 +threadpoolctl==3.6.0 +timm==1.0.22 +tomli==2.3.0 +torch @ file:///apps/torch-2.4.0a0%2Bgit4451b0e-cp310-cp310-linux_x86_64.whl#sha256=2e472c916044cac5a1a0e0d8b0e12bb943d8522b24ff826c8014dd444dccd378 +torch_sdaa @ file:///apps/torch_sdaa-2.0.0-cp310-cp310-linux_x86_64.whl#sha256=5aa57889b002e1231fbf806642e1353bfa016297bc25178396e89adc2b1f92e7 +torchaudio @ file:///apps/torchaudio-2.0.2%2Bda3eb8d-cp310-cp310-linux_x86_64.whl#sha256=46525c02fb7eaa8dafea860428de3d01e437ba8d6ff2cc228d7c71975ac4054b +torchdata @ file:///apps/torchdata-0.6.1%2Be1feeb2-py3-none-any.whl#sha256=aa2dc1a7732ea68adfad186978049bf68cc1afdbbdd1e17a8024227ab770e433 +torchtext @ file:///apps/torchtext-0.15.2a0%2B4571036-cp310-cp310-linux_x86_64.whl#sha256=7e42c684ba366f97b59ec37488bf95e416cce3892b6589200d2b3ad159ee5788 +torchvision @ file:///apps/torchvision-0.15.1a0%2B42759b1-cp310-cp310-linux_x86_64.whl#sha256=4b904db2d50102415536bc764bbc31c669b90b1b014f90964e9eccaadb2fd9eb +tqdm==4.65.2 +typer-slim==0.20.0 +typing_extensions==4.15.0 +tzdata==2025.2 +urllib3==1.26.20 +yapf==0.43.0 diff --git a/PyTorch/build-in/Classification/Twins/run b/PyTorch/build-in/Classification/Twins/run deleted file mode 100644 index 29874c482..000000000 --- a/PyTorch/build-in/Classification/Twins/run +++ /dev/null @@ -1 +0,0 @@ -../pipeline.sh pcpvt 32 \ No newline at end of file From ff60012ad0bd3aa8530c401537c92eb9a430226a Mon Sep 17 00:00:00 2001 From: root Date: Thu, 8 Jan 2026 10:30:26 +0000 Subject: [PATCH 3/3] fix: rename files and update code --- PyTorch/build-in/Classification/Twins/{readme => readme.md} | 0 .../Twins/{requirements_exact.txt => requirements.txt} | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename PyTorch/build-in/Classification/Twins/{readme => readme.md} (100%) rename PyTorch/build-in/Classification/Twins/{requirements_exact.txt => requirements.txt} (100%) diff --git a/PyTorch/build-in/Classification/Twins/readme b/PyTorch/build-in/Classification/Twins/readme.md similarity index 100% rename from PyTorch/build-in/Classification/Twins/readme rename to PyTorch/build-in/Classification/Twins/readme.md diff --git a/PyTorch/build-in/Classification/Twins/requirements_exact.txt b/PyTorch/build-in/Classification/Twins/requirements.txt similarity index 100% rename from PyTorch/build-in/Classification/Twins/requirements_exact.txt rename to PyTorch/build-in/Classification/Twins/requirements.txt